pax_global_header00006660000000000000000000000064141455401560014517gustar00rootroot0000000000000052 comment=bf86e699e6929127ccb5876d8c62c70785390eb0 jmschrei-apricot-bf86e69/000077500000000000000000000000001414554015600154155ustar00rootroot00000000000000jmschrei-apricot-bf86e69/.github/000077500000000000000000000000001414554015600167555ustar00rootroot00000000000000jmschrei-apricot-bf86e69/.github/workflows/000077500000000000000000000000001414554015600210125ustar00rootroot00000000000000jmschrei-apricot-bf86e69/.github/workflows/python-package.yml000066400000000000000000000027651414554015600244610ustar00rootroot00000000000000# This workflow will install Python dependencies, run tests and lint with a variety of Python versions # For more information see: https://help.github.com/actions/language-and-framework-guides/using-python-with-github-actions name: build on: push: branches: [ master ] pull_request: branches: [ master ] jobs: build: name: ${{ matrix.os }} Python ${{ matrix.python-version }} runs-on: ${{ matrix.os }} strategy: matrix: os: [ubuntu-latest, windows-latest, macOS-latest] python-version: ['3.7', '3.8'] steps: - uses: actions/checkout@v2 - name: Set up Python ${{ matrix.os }} ${{ matrix.python-version }} uses: actions/setup-python@v2 with: python-version: ${{ matrix.python-version }} - name: Install dependencies run: | python -m pip install --upgrade pip python -m pip install flake8 pytest python -m pip install wheel python -m pip install numpy>=1.20.0 pip install -r dev-requirements.txt python setup.py install - name: Lint with flake8 run: | # stop the build if there are Python syntax errors or undefined names flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics # exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics - name: Test with pytest run: python setup.py test jmschrei-apricot-bf86e69/.github/workflows/wheels.yml000066400000000000000000000023141414554015600230240ustar00rootroot00000000000000 # This is a basic workflow to help you get started with Actions name: Wheels on: workflow_dispatch jobs: build_wheels: name: Build wheels for ${{ matrix.os }} runs-on: ${{ matrix.os }} strategy: matrix: os: [ubuntu-latest, windows-latest, macOS-latest] steps: - uses: actions/checkout@v2 - uses: actions/setup-python@v2 name: Install Python with: python-version: '3.8' - name: Install dependencies run: | python -m pip install --upgrade pip python -m pip install wheel python -m pip install numpy>=1.20.0 pip install -r dev-requirements.txt python setup.py install - name: Install cibuildwheel run: python -m pip install cibuildwheel==1.7.2 - name: Build wheels run: python -m cibuildwheel --output-dir wheelhouse env: CIBW_SKIP: "cp27-* cp35-* cp36-* cp39-* pp*" # skip Python 2.7 wheels CIBW_BEFORE_BUILD: "rm -rf build/" - name: Upload wheels run: | python -m pip install twine python -m twine upload -u ${{ secrets.PYPI_USERNAME }} -p ${{ secrets.PYPI_PASSWORD }} ./wheelhouse/*.whl jmschrei-apricot-bf86e69/.gitignore000066400000000000000000000001111414554015600173760ustar00rootroot00000000000000*.pyc .ipynb_checkpoints dist/ build/ .eggs/ *.egg-info/ .python-version jmschrei-apricot-bf86e69/.travis.yml000066400000000000000000000024711414554015600175320ustar00rootroot00000000000000language: python matrix: include: - os: osx language: generic env: PYTHON=3.6 - os: osx language: generic env: PYTHON=3.7 - os: osx language: generic env: PYTHON=3.8 - os: linux language: generic env: PYTHON=3.6 - os: linux language: generic env: PYTHON=3.7 - os: linux language: generic env: PYTHON=3.8 before_install: - if [[ "$TRAVIS_OS_NAME" == "osx" ]]; then if [[ "$PYTHON" == "2.7" ]]; then wget http://repo.continuum.io/miniconda/Miniconda2-latest-MacOSX-x86_64.sh -O miniconda.sh; else wget http://repo.continuum.io/miniconda/Miniconda3-latest-MacOSX-x86_64.sh -O miniconda.sh; fi else if [[ "$PYTHON" == "2.7" ]]; then wget http://repo.continuum.io/miniconda/Miniconda2-latest-Linux-x86_64.sh -O miniconda.sh; else wget http://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh -O miniconda.sh; fi fi - bash miniconda.sh -b -p $HOME/miniconda - export PATH="$HOME/miniconda/bin:$PATH" - conda config --set always_yes yes --set changeps1 no - conda update -q conda - conda info -a - conda create -q -n test-environment python=$PYTHON numpy scipy - source activate test-environment - conda install --channel=numba llvmlite - pip install -r dev-requirements.txt install: - python setup.py install script: - nosetests -s -v --logging-filter=-numba jmschrei-apricot-bf86e69/LICENSE000066400000000000000000000020741414554015600164250ustar00rootroot00000000000000The MIT License (MIT) Copyright (c) 2018- Jacob Schreiber Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. jmschrei-apricot-bf86e69/README.md000066400000000000000000000235431414554015600167030ustar00rootroot00000000000000 [![Downloads](https://pepy.tech/badge/apricot-select)](https://pepy.tech/project/apricot-select)![build](https://github.com/jmschrei/apricot/workflows/build/badge.svg) [![Documentation Status](https://readthedocs.org/projects/apricot-select/badge/?version=latest)](https://apricot-select.readthedocs.io/en/latest/?badge=latest) Please consider citing the [manuscript](https://jmlr.org/papers/volume21/19-467/19-467.pdf) if you use apricot in your academic work! You can find more thorough documentation [here](https://apricot-select.readthedocs.io/en/latest/index.html). apricot implements submodular optimization for the purpose of summarizing massive data sets into minimally redundant subsets that are still representative of the original data. These subsets are useful for both visualizing the modalities in the data (such as in the two data sets below) and for training accurate machine learning models with just a fraction of the examples and compute. ![](img/embeddings.png) Submodular optimization is a well studied field that focuses on set functions which have the *diminishing return* property. These set functions have the dimishing return property, such that adding an item to a set produces a smaller marginal gain than adding the same item to a superset of that set. More formally, for , the property is . When these functions represent a notion of diversity, finding the subset of examples that maximize these functions corresponds to finding a minimally redundant set. There are many built-in submodular functions and optimizers in apricot. These include: **Functions** * [Feature-based](https://apricot-select.readthedocs.io/en/latest/functions/featureBased.html) * [Max (Set) Coverage](https://apricot-select.readthedocs.io/en/latest/functions/maxCoverage.html) * [Facility Location](https://apricot-select.readthedocs.io/en/latest/functions/facilityLocation.html) * [Graph Cut](https://apricot-select.readthedocs.io/en/latest/functions/graphCut.html) * [Sum Redundancy](https://apricot-select.readthedocs.io/en/latest/functions/sumRedundancy.html) * [Saturated Coverage](https://apricot-select.readthedocs.io/en/latest/functions/saturatedCoverage.html) * [Mixtures of Functions](https://apricot-select.readthedocs.io/en/latest/functions/mixture.html) **Optimizers** * [Naive Greedy](https://apricot-select.readthedocs.io/en/latest/optimizers/naive.html) * [Lazy Greedy](https://apricot-select.readthedocs.io/en/latest/optimizers/lazy.html) * [Two-Stage Greedy](https://apricot-select.readthedocs.io/en/latest/optimizers/two-stage.html) * [Approximate Lazy Greedy](https://apricot-select.readthedocs.io/en/latest/optimizers/approx-lazy.html) * [Stochastic Greedy](https://apricot-select.readthedocs.io/en/latest/optimizers/stochastic.html) * [Sample Greedy](https://apricot-select.readthedocs.io/en/latest/optimizers/sample.html) * [GreeDi](https://apricot-select.readthedocs.io/en/latest/optimizers/greedi.html) * [Modular Approximation](https://apricot-select.readthedocs.io/en/latest/optimizers/modular.html) * [Bidirectional Greedy](https://apricot-select.readthedocs.io/en/latest/optimizers/bidirectional.html) ### Installation apricot can be installed easily from PyPI with `pip install apricot-select` ### Usage The main objects in apricot are the selectors. Each selector encapsulates a submodular function and the cached statistics that speed up the optimization process. The API of the selectors follows the style of a scikit-learn transformer and consists of a `fit` method, where the examples are selected, a `transform` method, where the subset is selected from the data set, and a `fit_transform` method, where both are done sequentially. Here is an example of reducing a data set of size 5000 down to 100 examples with a facility location function that uses negative Euclidean distance as a similarity measure. ```python import numpy from apricot import FacilityLocationSelection X = numpy.random.normal(100, 1, size=(5000, 25)) X_subset = FacilityLocationSelection(100, metric='euclidean', optimizer='lazy').fit_transform(X) ``` #### Facility location functions are general purpose Facility location functions are more general purpose than feature based functions and work whenever a similarity measure can be defined over pairs of examples. When these functions are maximized, elements are selected that represent elements that are currently underrepresented. However, a downside of facility location functions (and all other submodular functions that rely on a similarity matrix) when compared to feature based functions is that the full similarity matrix requires quadratic memory with the number of examples and is generally impractical to store. Here is an example of applying facility location selection to the MNIST data set. ```python from apricot import FacilityLocationSelection from sklearn.datasets import load_digits data = load_digits() X_train = data.data[:1250] selector = FacilityLocationSelection(n_samples, metric='euclidean', optimizer='lazy', verbose=False) selector.fit(X_train) ``` And here is the performance of logistic regression models trained on subsets of either the MNIST or Fashion MNIST data sets where the subsets are selected using either facility location (orange) or random selection (grey). ![](img/fl-ml.png) The selected examples from facility location selection can be used in several ways other than training machine learning models, such as for visualizing the modalities of data (see the example at the start) or as centroids in a greedy version of k-means clustering. The animation below shows samples being selected according to facility location and compared to random selection, with facility location first selecting a sample that represents the entire data set, then selecting a sample that is in the largest cluster but near the second largest, and then the centers of local neighborhoods. This selection process is much faster than finding centroids using the EM based approaches of K-means or GMMs. ![](img/facilitylocation.gif) #### Feature based functions scale to summarize massive data sets Feature-based functions work well when the features correspond to some notion of quantity or importance, e.g. when the features are number of times a word appears in a document, or the strength of a signal at a sensor. When these functions are maximized, the resulting subsets are comprised of examples that are enriched in value in different sets of features. The intuition behind using a feature-based function is that different modalities in the data (like classes or clusters) will exhibit high values in different sets of features, and so selecting examples enriched for different features means covering these modalities better. When using a feature-based function on the 20 newsgroups data set, one can train a logistic regression model using only 100 samples and get the same performance as using all 1,187 potential samples, much better than using random sampling. The code below shows an example snippet of code usage and the graph shows the results over many subset sizes. ```python from apricot import FeatureBasedSelection from sklearn.datasets import fetch_20newsgroups from sklearn.feature_extraction.text import TfidfVectorizer train_data = fetch_20newsgroups(subset='train', categories=('sci.med', 'sci.space')) vectorizer = TfidfVectorizer(stop_words='english', max_features=1000) X_train = vectorizer.fit_transform(train_data.data) # This returns a sparse matrix which is supported in apricot selector = FeatureBasedSelection(100, concave_func='sqrt', optimizer='two-stage', verbose=False) selector.fit(X_train) ``` ![](img/20newsgroups.png) #### Initial subsets The selection process for most optimizers implemented in apricot is greedy, meaning that one example is selected at a time and this is (usually) the best example to include next given those that have already been selected. While a greedy algorithm is not guaranteed to find the best subset of a given size, it was famously shown that this subset cannot have an objective value $1 - e^{-1}$ worse than the optimal subset, and in practice the subsets are usually near-optimal. apricot exploits the greedy aspect of the algorithms to allow users to define an initial subset to build off of. This can be useful when one already has some elements selected (such as by outside information) and one would like to select elements that are not redundant with these already-selected elements. The initial subsets can be defined in the constructor like so: ```python import numpy from apricot import FacilityLocationSelection X = numpy.random.normal(20, 1, size=(5000, 25)) X_reordered = FacilityLocationSelection(100, initial_subset=[1, 5, 6, 8, 10]).fit_transform(X) model = FacilityLocationSelection(1000).fit(X) X_reordered2 = X[model.ranking] ``` #### When should I use submodular selection? If the amount of data that you have right now is not burdensome to deal with then it may not be helpful to use submodular selection. However, if training even simple models using the amount of data you have is difficult, you might consider summarizing your data set using apricot. If you're currently running many random selections because of the amount of data you have you may find that a single run of apricot will yield a better subset. jmschrei-apricot-bf86e69/apricot/000077500000000000000000000000001414554015600170565ustar00rootroot00000000000000jmschrei-apricot-bf86e69/apricot/__init__.py000066400000000000000000000010741414554015600211710ustar00rootroot00000000000000# __init__.py # Author: Jacob Schreiber from .functions import FeatureBasedSelection from .functions import MaxCoverageSelection from .functions import FacilityLocationSelection from .functions import SaturatedCoverageSelection from .functions import SumRedundancySelection from .functions import GraphCutSelection from .functions import MixtureSelection from .functions import BaseSelection from .functions import BaseGraphSelection from .functions import CustomSelection from .functions import CustomGraphSelection __version__ = '0.6.1' jmschrei-apricot-bf86e69/apricot/functions/000077500000000000000000000000001414554015600210665ustar00rootroot00000000000000jmschrei-apricot-bf86e69/apricot/functions/__init__.py000066400000000000000000000010501414554015600231730ustar00rootroot00000000000000# __init__.py # Author: Jacob Schreiber from .featureBased import FeatureBasedSelection from .maxCoverage import MaxCoverageSelection from .facilityLocation import FacilityLocationSelection from .saturatedCoverage import SaturatedCoverageSelection from .sumRedundancy import SumRedundancySelection from .graphCut import GraphCutSelection from .mixture import MixtureSelection from .custom import CustomSelection from .custom import CustomGraphSelection from .base import BaseSelection from .base import BaseGraphSelectionjmschrei-apricot-bf86e69/apricot/functions/base.py000066400000000000000000000577501414554015600223700ustar00rootroot00000000000000# base.py # Author: Jacob Schreiber """ This file contains code that implements the core of the submodular selection algorithms. """ import numpy from tqdm import tqdm from ..optimizers import BaseOptimizer from ..optimizers import NaiveGreedy from ..optimizers import LazyGreedy from ..optimizers import ApproximateLazyGreedy from ..optimizers import TwoStageGreedy from ..optimizers import StochasticGreedy from ..optimizers import BidirectionalGreedy from ..optimizers import GreeDi from ..optimizers import SieveGreedy from ..optimizers import OPTIMIZERS from ..utils import PriorityQueue from ..utils import check_random_state from ..utils import _calculate_pairwise_distances from scipy.sparse import csr_matrix class BaseSelection(object): """The base selection object. This object defines the structures that all submodular selection algorithms should follow. All algorithms will have the same public methods and the same attributes. Parameters ---------- n_samples : int The number of samples to return. initial_subset : list, numpy.ndarray or None, optional If provided, this should be a list of indices into the data matrix to use as the initial subset, or a group of examples that may not be in the provided data should beused as the initial subset. If indices, the provided array should be one-dimensional. If a group of examples, the data should be 2 dimensional. optimizer : string or optimizers.BaseOptimizer, optional The optimization approach to use for the selection. Default is 'two-stage', which makes selections using the naive greedy algorithm initially and then switches to the lazy greedy algorithm. Must be one of 'naive' : the naive greedy algorithm 'lazy' : the lazy (or accelerated) greedy algorithm 'approximate-lazy' : the approximate lazy greedy algorithm 'two-stage' : starts with naive and switches to lazy 'stochastic' : the stochastic greedy algorithm 'greedi' : the GreeDi distributed algorithm 'bidirectional' : the bidirectional greedy algorithm Default is 'naive'. optimizer_kwds : dict or None A dictionary of arguments to pass into the optimizer object. The keys of this dictionary should be the names of the parameters in the optimizer and the values in the dictionary should be the values that these parameters take. Default is None. reservoir : numpy.ndarray or None The reservoir to use when calculating gains in the sieve greedy streaming optimization algorithm in the `partial_fit` method. Currently only used for graph-based functions. If a numpy array is passed in, it will be used as the reservoir. If None is passed in, will use reservoir sampling to collect a reservoir. Default is None. max_reservoir_size : int The maximum size that the reservoir can take. If a reservoir is passed in, this value is set to the size of that array. Default is 1000. n_jobs : int The number of threads to use when performing computation in parallel. Currently, this parameter is exposed but does not actually do anything. This will be fixed soon. random_state : int or RandomState or None, optional The random seed to use for the random selection process. Only used for stochastic greedy. verbose : bool Whether to print output during the selection process. Attributes ---------- n_samples : int The number of samples to select. ranking : numpy.array int The selected samples in the order of their gain with the first number in the ranking corresponding to the index of the first sample that was selected by the greedy procedure. gains : numpy.array float The gain of each sample in the returned set when it was added to the growing subset. The first number corresponds to the gain of the first added sample, the second corresponds to the gain of the second added sample, and so forth. """ def __init__(self, n_samples, initial_subset=None, optimizer='lazy', optimizer_kwds={}, reservoir=None, max_reservoir_size=1000, n_jobs=1, random_state=None, verbose=False): if n_samples <= 0: raise ValueError("n_samples must be a positive value.") if not isinstance(initial_subset, (list, numpy.ndarray)) and initial_subset is not None: raise ValueError("initial_subset must be a list, numpy array, or None") if isinstance(initial_subset, (list, numpy.ndarray)): initial_subset = numpy.array(initial_subset) if not isinstance(optimizer, BaseOptimizer): if optimizer not in OPTIMIZERS.keys(): raise ValueError("Optimizer must be an optimizer object or " \ "a str in {}.".format(str(OPTIMIZERS.keys()))) if isinstance(optimizer, BaseOptimizer): optimizer.function = self if verbose not in (True, False): raise ValueError("verbosity must be True or False") self.n_samples = n_samples self.metric = 'ignore' self.random_state = check_random_state(random_state) self.optimizer = optimizer self.optimizer_kwds = optimizer_kwds self.n_jobs = n_jobs self.verbose = verbose self.initial_subset = initial_subset self.ranking = None self.idxs = None self.gains = None self.subset = None self.sparse = None self._X = None self.sieve_current_values_ = None self.n_seen_ = 0 self.reservoir_size = 0 if reservoir is None else reservoir.shape[0] self.reservoir = reservoir self.max_reservoir_size = max_reservoir_size if reservoir is None else reservoir.shape[0] self.update_reservoir_ = reservoir is None def fit(self, X, y=None, sample_weight=None, sample_cost=None): """Run submodular optimization to select a subset of examples. This method is a wrapper for the full submodular optimization process. It takes in some data set (and optionally labels that are ignored during this process) and selects `n_samples` from it in the greedy manner specified by the optimizer. This method will return the selector object itself, not the transformed data set. The `transform` method will then transform a data set to the selected points, or alternatively one can use the ranking stored in the `self.ranking` attribute. The `fit_transform` method will perform both optimization and selection and return the selected items. Parameters ---------- X : list or numpy.ndarray, shape=(n, d) The data set to transform. Must be numeric. y : list or numpy.ndarray or None, shape=(n,), optional The labels to transform. If passed in this function will return both the data and th corresponding labels for the rows that have been selected. sample_weight : list or numpy.ndarray or None, shape=(n,), optional The weight of each example. Currently ignored in apricot but included to maintain compatibility with sklearn pipelines. sample_cost : list or numpy.ndarray or None, shape=(n,), optional The cost of each item. If set, indicates that optimization should be performed with respect to a knapsack constraint. Returns ------- self : BaseGraphSelection The fit step returns this selector object. """ allowed_dtypes = list, numpy.ndarray, csr_matrix if not isinstance(X, allowed_dtypes): raise ValueError("X must be either a list of lists, a 2D numpy " \ "array, or a scipy.sparse.csr_matrix.") if isinstance(X, numpy.ndarray) and len(X.shape) != 2: raise ValueError("X must have exactly two dimensions.") if numpy.min(X) < 0.0 and numpy.max(X) > 0.: raise ValueError("X cannot contain negative values or must be entirely "\ "negative values.") if self.n_samples > X.shape[0]: raise ValueError("Cannot select more examples than the number in" \ " the data set.") if not self.sparse: if X.dtype != 'float64': X = X.astype('float64') if isinstance(self.optimizer, str): optimizer = OPTIMIZERS[self.optimizer](function=self, verbose=self.verbose, random_state=self.random_state, **self.optimizer_kwds) else: optimizer = self.optimizer self._X = X if self._X is None else self._X self._initialize(X) if self.verbose: self.pbar = tqdm(total=self.n_samples, unit_scale=True) optimizer.select(X, self.n_samples, sample_cost=sample_cost) if self.verbose == True: self.pbar.close() self.ranking = numpy.array(self.ranking) self.gains = numpy.array(self.gains) return self def partial_fit(self, X, y=None, sample_weight=None, sample_cost=None): allowed_dtypes = list, numpy.ndarray, csr_matrix if not isinstance(X, allowed_dtypes): raise ValueError("X must be either a list of lists, a 2D numpy " \ "array, or a scipy.sparse.csr_matrix.") if isinstance(X, numpy.ndarray) and len(X.shape) != 2: raise ValueError("X must have exactly two dimensions.") if not self.sparse: if X.dtype != 'float64': X = X.astype('float64') if not isinstance(self.optimizer, SieveGreedy): self.optimizer = OPTIMIZERS['sieve'](function=self, verbose=self.verbose, random_state=self.random_state, **self.optimizer_kwds) self._X = X if self._X is None else self._X self._initialize(X) if self.verbose: self.pbar = tqdm(total=self.n_samples, unit_scale=True) self.optimizer.select(X, self.n_samples, sample_cost=sample_cost) if self.verbose == True: self.pbar.close() self.ranking = numpy.array(self.ranking) self.gains = numpy.array(self.gains) self._X = None return self def transform(self, X, y=None, sample_weight=None): """Transform a data set to include only the selected examples. This method will return a selection of X and optionally selections of y and sample_weight. The default setting is to select items based on the ranking determined in the `fit` step with examples in the same order as that ranking. Optionally, the whole data set can be returned, with the weights corresponding to samples that were not selected set to 0. This setting can be controlled by setting `pipeline=True`. Parameters ---------- X : list or numpy.ndarray, shape=(n, d) The data set to transform. Must be numeric. y : list or numpy.ndarray or None, shape=(n,), optional The labels to transform. If passed in this function will return both the data and the corresponding labels for the rows that have been selected. Default is None. sample_weight : list or numpy.ndarray or None, shape=(n,), optional The sample weights to transform. If passed in this function will return the selected labels (y) and the selected samples, even if no labels were passed in. Default is None. Returns ------- X_subset : numpy.ndarray, shape=(n_samples, d) A subset of the data such that n_samples < n and n_samples is the integer provided at initialization. y_subset : numpy.ndarray, shape=(n_samples,), optional The labels that match with the indices of the samples if y is passed in. Only returned if passed in. sample_weight_subset : numpy.ndarray, shape=(n_samples,), optional The weight of each example. """ r = self.ranking if sample_weight is not None: if y is None: return X[r], None, sample_weight[r] else: return X[r], y[r], sample_weight[r] else: if y is None: return X[r] else: return X[r], y[r] def fit_transform(self, X, y=None, sample_weight=None, sample_cost=None): """Run optimization and select a subset of examples. This method will first perform the `fit` step and then perform the `transform` step, returning a transformed data set. Parameters ---------- X : list or numpy.ndarray, shape=(n, d) The data set to transform. Must be numeric. y : list or numpy.ndarray or None, shape=(n,), optional The labels to transform. If passed in this function will return both the data and the corresponding labels for the rows that have been selected. Default is None. sample_weight : list or numpy.ndarray or None, shape=(n,), optional The sample weights to transform. If passed in this function will return the selected labels (y) and the selected samples, even if no labels were passed in. Default is None. sample_cost : list or numpy.ndarray or None, shape=(n,), optional The cost of each item. If set, indicates that optimization should be performed with respect to a knapsack constraint. Returns ------- X_subset : numpy.ndarray, shape=(n_samples, d) A subset of the data such that n_samples < n and n_samples is the integer provided at initialization. y_subset : numpy.ndarray, shape=(n_samples,), optional The labels that match with the indices of the samples if y is passed in. Only returned if passed in. sample_weight_subset : numpy.ndarray, shape=(n_samples,), optional The weight of each example. """ return self.fit(X, y=y, sample_weight=sample_weight, sample_cost=sample_cost).transform(X, y=y, sample_weight=sample_weight) def _initialize(self, X, idxs=None): n, d = X.shape self._X = X if self._X is None else self._X self.sparse = isinstance(X, csr_matrix) self.ranking = [] self.gains = [] self.subset = numpy.zeros((0, self._X.shape[1]), dtype='float64') self.current_values = numpy.zeros(d, dtype='float64') self.current_concave_values = numpy.zeros(d, dtype='float64') self.mask = numpy.zeros(n, dtype='int8') if self.initial_subset is not None: if self.initial_subset.ndim == 1: if self.initial_subset.dtype == bool: self.initial_subset = numpy.where(self.initial_subset == 1)[0] if len(self.initial_subset) + self.n_samples > X.shape[0]: raise ValueError("When using a mask for the initial subset" \ " must selected fewer than the size of the subset minus" \ " the initial subset size, i.e., n_samples < X.shape[0] -"\ " initial_subset.shape[0].") if self.initial_subset.max() > X.shape[0]: raise ValueError("When passing in an integer mask for the initial subset"\ " the maximum value cannot exceed the size of the data set.") elif self.initial_subset.min() < 0: raise ValueError("When passing in an integer mask for the initial subset"\ " the minimum value cannot be negative.") self.mask[self.initial_subset] = 1 self.idxs = numpy.where(self.mask == 0)[0] def _calculate_gains(self, X, idxs=None): raise NotImplementedError def _calculate_sieve_gains(self, X, thresholds, idxs): n = X.shape[0] d = X.shape[1] if self.reservoir is None else self.max_reservoir_size l = len(thresholds) if self.sieve_current_values_ is None: self.sieve_current_values_ = numpy.zeros((l, d), dtype='float64') self.sieve_selections_ = numpy.zeros((l, self.n_samples), dtype='int64') - 1 self.sieve_gains_ = numpy.zeros((l, self.n_samples), dtype='float64') - 1 self.sieve_n_selected_ = numpy.zeros(l, dtype='int64') self.sieve_total_gains_ = numpy.zeros(l, dtype='float64') self.sieve_subsets_ = numpy.zeros((l, self.n_samples, self._X.shape[1]), dtype='float64') else: j = l - self.sieve_current_values_.shape[0] if j > 0: self.sieve_current_values_ = numpy.vstack([ self.sieve_current_values_, numpy.zeros((j, d), dtype='float64')]) self.sieve_selections_ = numpy.vstack([ self.sieve_selections_, numpy.zeros((j, self.n_samples), dtype='int64') - 1]) self.sieve_gains_ = numpy.vstack([self.sieve_gains_, numpy.zeros((j, self.n_samples), dtype='float64')]) self.sieve_n_selected_ = numpy.concatenate([ self.sieve_n_selected_, numpy.zeros(j, dtype='int64')]) self.sieve_total_gains_ = numpy.concatenate([ self.sieve_total_gains_, numpy.zeros(j, dtype='float64')]) self.sieve_subsets_ = numpy.concatenate([self.sieve_subsets_, numpy.zeros((j, self.n_samples, self._X.shape[1]), dtype='float64')]) def _select_next(self, X, gain, idx): self.ranking.append(idx) self.gains.append(gain) self.mask[idx] = True self.idxs = numpy.where(self.mask == 0)[0] if self.sparse: X = self._X[idx:idx+1].toarray() else: X = self._X[idx:idx+1] if self.metric != 'precomputed': self.subset = numpy.concatenate([self.subset, X]) class BaseGraphSelection(BaseSelection): """The base graph selection object. This object defines the structures that all submodular selection algorithms should follow if they operate on a graph, such as pairwise similarity measurements. All algorithms will have the same public methods and the same attributes. NOTE: All ~pairwise~ values in your data must be positive for these selection methods to work. This implementation allows users to pass in either their own symmetric square matrix of similarity values, or a data matrix as normal and a function that calculates these pairwise values. Parameters ---------- n_samples : int The number of samples to return. metric : str The method for converting a data matrix into a square symmetric matrix of pairwise similarities. If a string, can be any of the metrics implemented in sklearn (see https://scikit-learn.org/stable/modules/ generated/sklearn.metrics.pairwise_distances.html), including "precomputed" if one has already generated a similarity matrix. Note that sklearn calculates distance matrices whereas apricot operates on similarity matrices, and so a distances.max() - distances transformation is performed on the resulting distances. For backcompatibility, 'corr' will be read as 'correlation'. initial_subset : list, numpy.ndarray or None If provided, this should be a list of indices into the data matrix to use as the initial subset, or a group of examples that may not be in the provided data should beused as the initial subset. If indices, the provided array should be one-dimensional. If a group of examples, the data should be 2 dimensional. optimizer : string or optimizers.BaseOptimizer, optional The optimization approach to use for the selection. Default is 'two-stage', which makes selections using the naive greedy algorithm initially and then switches to the lazy greedy algorithm. Must be one of 'naive' : the naive greedy algorithm 'lazy' : the lazy (or accelerated) greedy algorithm 'approximate-lazy' : the approximate lazy greedy algorithm 'two-stage' : starts with naive and switches to lazy 'stochastic' : the stochastic greedy algorithm 'greedi' : the GreeDi distributed algorithm 'bidirectional' : the bidirectional greedy algorithm Default is 'naive'. optimizer_kwds : dict or None A dictionary of arguments to pass into the optimizer object. The keys of this dictionary should be the names of the parameters in the optimizer and the values in the dictionary should be the values that these parameters take. Default is None. n_neighbors : int or None When constructing a similarity matrix, the number of nearest neighbors whose similarity values will be kept. The result is a sparse similarity matrix which can significantly speed up computation at the cost of accuracy. Default is None. reservoir : numpy.ndarray or None The reservoir to use when calculating gains in the sieve greedy streaming optimization algorithm in the `partial_fit` method. Currently only used for graph-based functions. If a numpy array is passed in, it will be used as the reservoir. If None is passed in, will use reservoir sampling to collect a reservoir. Default is None. max_reservoir_size : int The maximum size that the reservoir can take. If a reservoir is passed in, this value is set to the size of that array. Default is 1000. n_jobs : int The number of threads to use when performing computation in parallel. Currently, this parameter is exposed but does not actually do anything. This will be fixed soon. random_state : int or RandomState or None, optional The random seed to use for the random selection process. Only used for stochastic greedy. verbose : bool Whether to print output during the selection process. Attributes ---------- n_samples : int The number of samples to select. metric : callable A function that takes in a data matrix and converts it to a square symmetric matrix. ranking : numpy.array int The selected samples in the order of their gain. gains : numpy.array float The gain of each sample in the returned set when it was added to the growing subset. The first number corresponds to the gain of the first added sample, the second corresponds to the gain of the second added sample, and so forth. """ def __init__(self, n_samples, metric='euclidean', initial_subset=None, optimizer='two-stage', optimizer_kwds={}, n_neighbors=None, reservoir=None, max_reservoir_size=1000, n_jobs=1, random_state=None, verbose=False): super(BaseGraphSelection, self).__init__(n_samples=n_samples, initial_subset=initial_subset, optimizer=optimizer, optimizer_kwds=optimizer_kwds, reservoir=reservoir, max_reservoir_size=max_reservoir_size, n_jobs=n_jobs, random_state=random_state, verbose=verbose) self.metric = metric.replace("corr", "correlation") self.n_neighbors = n_neighbors def fit(self, X, y=None, sample_weight=None, sample_cost=None): """Run submodular optimization to select a subset of examples. This method is a wrapper for the full submodular optimization process. It takes in some data set (and optionally labels that are ignored during this process) and selects `n_samples` from it in the greedy manner specified by the optimizer. This method will return the selector object itself, not the transformed data set. The `transform` method will then transform a data set to the selected points, or alternatively one can use the ranking stored in the `self.ranking` attribute. The `fit_transform` method will perform both optimization and selection and return the selected items. Parameters ---------- X : list or numpy.ndarray, shape=(n, d) The data set to transform. Must be numeric. y : list or numpy.ndarray or None, shape=(n,), optional The labels to transform. If passed in this function will return both the data and th corresponding labels for the rows that have been selected. sample_weight : list or numpy.ndarray or None, shape=(n,), optional The weight of each example. Currently ignored in apricot but included to maintain compatibility with sklearn pipelines. sample_cost : list or numpy.ndarray or None, shape=(n,), optional The cost of each item. If set, indicates that optimization should be performed with respect to a knapsack constraint. Returns ------- self : BaseGraphSelection The fit step returns this selector object. """ if isinstance(X, csr_matrix) and self.metric not in ("precomputed", "ignore"): raise ValueError("Must passed in a precomputed sparse " \ "similarity matrix or a dense feature matrix.") if self.metric == 'precomputed' and X.shape[0] != X.shape[1]: raise ValueError("Precomputed similarity matrices " \ "must be square and symmetric.") X_pairwise = _calculate_pairwise_distances(X, metric=self.metric, n_neighbors=self.n_neighbors) self._X = X return super(BaseGraphSelection, self).fit(X_pairwise, y=y, sample_weight=sample_weight, sample_cost=sample_cost) def partial_fit(self, X, y=None, sample_weight=None, sample_cost=None): if self.reservoir is None: self.reservoir = numpy.empty((self.max_reservoir_size, X.shape[1])) if self.update_reservoir_: for i in range(X.shape[0]): if self.reservoir_size < self.max_reservoir_size: self.reservoir[self.reservoir_size] = X[i] self.reservoir_size += 1 else: r = self.random_state.choice(self.n_seen_ + i) if r < self.max_reservoir_size: self.reservoir[r] = X[i] #self.current_values_[:, r] = 0. X_pairwise = _calculate_pairwise_distances(X, Y=self.reservoir[:self.reservoir_size], metric=self.metric) self._X = X super(BaseGraphSelection, self).partial_fit(X_pairwise, y=y, sample_weight=sample_weight, sample_cost=sample_cost) self.current_values = numpy.zeros(self.reservoir_size, dtype='float64') self.n_seen_ += X.shape[0] def _initialize(self, X_pairwise, idxs=None): super(BaseGraphSelection, self)._initialize(X_pairwise, idxs=idxs) def _calculate_gains(self, X_pairwise): super(BaseGraphSelection, self)._calculate_gains(X_pairwise) def _calculate_sieve_gains(self, X, thresholds, idxs): super(BaseGraphSelection, self)._calculate_sieve_gains(X, thresholds, idxs) def _select_next(self, X_pairwise, gain, idx): super(BaseGraphSelection, self)._select_next(X_pairwise, gain, idx) jmschrei-apricot-bf86e69/apricot/functions/custom.py000066400000000000000000000372031414554015600227570ustar00rootroot00000000000000# custom.py # Author: Jacob Schreiber import numpy from .base import BaseSelection from .base import BaseGraphSelection class CustomSelection(BaseSelection): """A selector based off a custom, user-defined feature-based function. This selector wraps a custom function that is passed in by the user. This function should take in a matrix containing a subset of the ground set and output the standard measure of quality of the subset. Each row in the matrix should be an example and each column should be a feature value for the example (like a standard data matrix for machine learning). .. warning:: If the function that the user wants to optimize is graph-based, i.e., that it determines the quality of a subset using similarities with other examples instead of the feature values directly, e.g. facility location, CustomGraphSelection should be used instead. .. note:: Although apricot is built for submodular functions, there is no explicit restriction that the function passed in be submodular. Sometimes, supermodular functions can be reasonably maximized using the same greedy approaches used on submodular functions. Parameters ---------- n_samples : int The number of samples to return. func : function The feature-based set function to that this selector should wrap. initial_subset : list, numpy.ndarray or None If provided, this should be a list of indices into the data matrix to use as the initial subset, or a group of examples that may not be in the provided data should beused as the initial subset. If indices, the provided array should be one-dimensional. If a group of examples, the data should be 2 dimensional. optimizer : string or optimizers.BaseOptimizer, optional The optimization approach to use for the selection. Default is 'two-stage', which makes selections using the naive greedy algorithm initially and then switches to the lazy greedy algorithm. Must be one of 'random' : randomly select elements (dummy optimizer) 'modular' : approximate the function using its modular upper bound 'naive' : the naive greedy algorithm 'lazy' : the lazy (or accelerated) greedy algorithm 'approximate-lazy' : the approximate lazy greedy algorithm 'two-stage' : starts with naive and switches to lazy 'stochastic' : the stochastic greedy algorithm 'sample' : randomly take a subset and perform selection on that 'greedi' : the GreeDi distributed algorithm 'bidirectional' : the bidirectional greedy algorithm Default is 'two-stage'. optimizer_kwds : dict, optional Arguments to pass into the optimizer object upon initialization. Default is {}. function_kwds : dict, optional Arguments to pass into the function object for each call. Default is {}. n_jobs : int, optional The number of cores to use for processing. This value is multiplied by 2 when used to set the number of threads. If set to -1, use all cores and threads. Default is -1. random_state : int or RandomState or None, optional The random seed to use for the random selection process. Only used for stochastic greedy. verbose : bool Whether to print output during the selection process. Attributes ---------- n_samples : int The number of samples to select. ranking : numpy.array int The selected samples in the order of their gain with the first number in the ranking corresponding to the index of the first sample that was selected by the greedy procedure. gains : numpy.array float The gain of each sample in the returned set when it was added to the growing subset. The first number corresponds to the gain of the first added sample, the second corresponds to the gain of the second added sample, and so forth. """ def __init__(self, n_samples, function, initial_subset=None, optimizer='two-stage', optimizer_kwds={}, function_kwds={}, n_jobs=1, random_state=None, verbose=False): if callable(function) == False: raise ValueError("Passed in function must be callable.") self.function = function self.function_kwds = function_kwds super(CustomSelection, self).__init__(n_samples=n_samples, initial_subset=initial_subset, optimizer=optimizer, optimizer_kwds=optimizer_kwds, n_jobs=n_jobs, random_state=random_state, verbose=verbose) def fit(self, X, y=None, sample_weight=None, sample_cost=None): """Run submodular optimization to select the examples. This method is a wrapper for the full submodular optimization process. It takes in some data set (and optionally labels that are ignored during this process) and selects `n_samples` from it in the greedy manner specified by the optimizer. This method will return the selector object itself, not the transformed data set. The `transform` method will then transform a data set to the selected points, or alternatively one can use the ranking stored in the `self.ranking` attribute. The `fit_transform` method will perform both optimization and selection and return the selected items. Parameters ---------- X : list or numpy.ndarray, shape=(n, d) The data set to transform. Must be numeric. y : list or numpy.ndarray or None, shape=(n,), optional The labels to transform. If passed in this function will return both the data and th corresponding labels for the rows that have been selected. sample_weight : list or numpy.ndarray or None, shape=(n,), optional The weight of each example. Currently ignored in apricot but included to maintain compatibility with sklearn pipelines. sample_cost : list or numpy.ndarray or None, shape=(n,), optional The cost of each item. If set, indicates that optimization should be performed with respect to a knapsack constraint. Returns ------- self : CustomSelection The fit step returns this selector object. """ return super(CustomSelection, self).fit(X, y=y, sample_weight=sample_weight, sample_cost=sample_cost) def _initialize(self, X): super(CustomSelection, self)._initialize(X) if self.initial_subset is None: pass elif self.initial_subset.ndim == 2: if self.initial_subset.shape[1] != X.shape[1]: raise ValueError("The number of columns in the initial subset must " \ "match the number of columns in X.") elif self.initial_subset.ndim == 1: self.initial_subset = X[self.initial_subset] else: raise ValueError("The initial subset must be either a two dimensional" \ " matrix of examples or a one dimensional mask.") if self.initial_subset is None: self.total_gain = 0 else: self.total_gain = self.function(self.initial_subset) def _calculate_gains(self, X, idxs=None): """This function will return the gain that each example would give. This function will return the gains that each example would give if added to the selected set. When a matrix of examples is given, a vector will be returned showing the gain for each example. When a single element is passed in, it will return a singe value.""" idxs = idxs if idxs is not None else self.idxs gains = numpy.zeros(idxs.shape[0], dtype='float64') x0 = numpy.zeros((1, X.shape[1])) if self.initial_subset is not None: X_ = numpy.concatenate([self.initial_subset, self.subset, x0]) else: X_ = numpy.concatenate([self.subset, x0]) for i, idx in enumerate(idxs): X_[-1] = X[idx] gains[i] = self.function(X_, **self.function_kwds) - self.total_gain return gains def _calculate_sieve_gains(self, X, thresholds, idxs): """This function will update the internal statistics from a stream. This function will update the various internal statistics that are a part of the sieve algorithm for streaming submodular optimization. This function does not directly return gains but it updates the values used by a streaming optimizer. """ super(CustomSelection, self)._calculate_sieve_gains(X, thresholds, idxs) raise NotImplementedError def _select_next(self, X, gain, idx): """This function will add the given item to the selected set.""" self.total_gain += gain super(CustomSelection, self)._select_next( X, gain, idx) class CustomGraphSelection(BaseGraphSelection): """A selector based off a custom, user-defined graph-based function. This selector wraps a custom graph-based function that is passed in by the user. This function should take in a matrix containing a subset of the ground set and output the standard measure of quality of the subset. Each row in the matrix should be an example and each column should be the similarity to each element in the ground set, with the number of columns being equal to the size of the ground set. .. note:: Although apricot is built for submodular functions, there is no explicit restriction that the function passed in be submodular. Sometimes, supermodular functions can be reasonably maximized using the same greedy approaches used on submodular functions. Parameters ---------- n_samples : int The number of samples to return. func : function The graph-based set function to that this selector should wrap. initial_subset : list, numpy.ndarray or None If provided, this should be a list of indices into the data matrix to use as the initial subset, or a group of examples that may not be in the provided data should beused as the initial subset. If indices, the provided array should be one-dimensional. If a group of examples, the data should be 2 dimensional. optimizer : string or optimizers.BaseOptimizer, optional The optimization approach to use for the selection. Default is 'two-stage', which makes selections using the naive greedy algorithm initially and then switches to the lazy greedy algorithm. Must be one of 'random' : randomly select elements (dummy optimizer) 'modular' : approximate the function using its modular upper bound 'naive' : the naive greedy algorithm 'lazy' : the lazy (or accelerated) greedy algorithm 'approximate-lazy' : the approximate lazy greedy algorithm 'two-stage' : starts with naive and switches to lazy 'stochastic' : the stochastic greedy algorithm 'sample' : randomly take a subset and perform selection on that 'greedi' : the GreeDi distributed algorithm 'bidirectional' : the bidirectional greedy algorithm Default is 'two-stage'. optimizer_kwds : dict, optional Arguments to pass into the optimizer object upon initialization. Default is {}. function_kwds : dict, optional Arguments to pass into the function object for each call. Default is {}. n_jobs : int, optional The number of cores to use for processing. This value is multiplied by 2 when used to set the number of threads. If set to -1, use all cores and threads. Default is -1. random_state : int or RandomState or None, optional The random seed to use for the random selection process. Only used for stochastic greedy. verbose : bool Whether to print output during the selection process. Attributes ---------- n_samples : int The number of samples to select. ranking : numpy.array int The selected samples in the order of their gain with the first number in the ranking corresponding to the index of the first sample that was selected by the greedy procedure. gains : numpy.array float The gain of each sample in the returned set when it was added to the growing subset. The first number corresponds to the gain of the first added sample, the second corresponds to the gain of the second added sample, and so forth. """ def __init__(self, n_samples, function, metric='euclidean', initial_subset=None, optimizer='two-stage', optimizer_kwds={}, function_kwds={}, n_jobs=1, random_state=None, verbose=False): if callable(function) == False: raise ValueError("Passed in function must be callable.") self.function = function self.function_kwds = function_kwds super(CustomGraphSelection, self).__init__(n_samples=n_samples, metric=metric, initial_subset=initial_subset, optimizer=optimizer, optimizer_kwds=optimizer_kwds, n_jobs=n_jobs, random_state=random_state, verbose=verbose) def fit(self, X, y=None, sample_weight=None, sample_cost=None): """Run submodular optimization to select the examples. This method is a wrapper for the full submodular optimization process. It takes in some data set (and optionally labels that are ignored during this process) and selects `n_samples` from it in the greedy manner specified by the optimizer. This method will return the selector object itself, not the transformed data set. The `transform` method will then transform a data set to the selected points, or alternatively one can use the ranking stored in the `self.ranking` attribute. The `fit_transform` method will perform both optimization and selection and return the selected items. Parameters ---------- X : list or numpy.ndarray, shape=(n, d) The data set to transform. Must be numeric. y : list or numpy.ndarray or None, shape=(n,), optional The labels to transform. If passed in this function will return both the data and th corresponding labels for the rows that have been selected. sample_weight : list or numpy.ndarray or None, shape=(n,), optional The weight of each example. Currently ignored in apricot but included to maintain compatibility with sklearn pipelines. sample_cost : list or numpy.ndarray or None, shape=(n,), optional The cost of each item. If set, indicates that optimization should be performed with respect to a knapsack constraint. Returns ------- self : CustomSelection The fit step returns this selector object. """ return super(CustomGraphSelection, self).fit(X, y=y, sample_weight=sample_weight, sample_cost=sample_cost) def _initialize(self, X): super(CustomGraphSelection, self)._initialize(X) if self.initial_subset is None: pass elif self.initial_subset.ndim == 2: if self.initial_subset.shape[1] != X.shape[1]: raise ValueError("The number of columns in the initial subset must " \ "match the number of columns in X.") elif self.initial_subset.ndim == 1: self.initial_subset = X[self.initial_subset] else: raise ValueError("The initial subset must be either a two dimensional" \ " matrix of examples or a one dimensional mask.") if self.initial_subset is None: self.total_gain = 0 else: self.total_gain = self.func(self.initial_subset) def _calculate_gains(self, X, idxs=None): """This function will return the gain that each example would give. This function will return the gains that each example would give if added to the selected set. When a matrix of examples is given, a vector will be returned showing the gain for each example. When a single element is passed in, it will return a singe value.""" idxs = idxs if idxs is not None else self.idxs gains = numpy.zeros(idxs.shape[0], dtype='float64') x0 = numpy.zeros((1, X.shape[1])) if self.initial_subset is not None: X_ = numpy.concatenate([self.initial_subset, self.subset, x0]) else: X_ = numpy.concatenate([self.subset, x0]) for i, idx in enumerate(idxs): X_[-1] = X[idx] gains[i] = self.function(X_, **self.function_kwds) - self.total_gain return gains def _calculate_sieve_gains(self, X, thresholds, idxs): """This function will update the internal statistics from a stream. This function will update the various internal statistics that are a part of the sieve algorithm for streaming submodular optimization. This function does not directly return gains but it updates the values used by a streaming optimizer. """ super(CustomGraphSelection, self)._calculate_sieve_gains(X, thresholds, idxs) raise NotImplementedError def _select_next(self, X, gain, idx): """This function will add the given item to the selected set.""" self.total_gain += gain super(CustomGraphSelection, self)._select_next( X, gain, idx) jmschrei-apricot-bf86e69/apricot/functions/facilityLocation.py000066400000000000000000000326511414554015600247440ustar00rootroot00000000000000# facilityLocation.py # Author: Jacob Schreiber import numpy from .base import BaseGraphSelection from ..optimizers import LazyGreedy from ..optimizers import ApproximateLazyGreedy from ..optimizers import SieveGreedy from tqdm import tqdm from numba import njit from numba import prange dtypes = 'void(float64[:,:], float64[:], float64[:], int64[:])' sdtypes = 'void(float64[:], int32[:], int32[:], float64[:], float64[:], int64[:])' sieve_dtypes = 'void(float64[:,:], int64, float64[:,:], int64[:,:],' \ 'float64[:,:], float64[:], float64[:], int64[:], int64[:])' def calculate_gains(dtypes, parallel, fastmath, cache): @njit(dtypes, parallel=parallel, fastmath=fastmath, cache=cache) def calculate_gains_(X, gains, current_values, idxs): for i in prange(idxs.shape[0]): idx = idxs[i] gains[i] = numpy.maximum(X[idx], current_values).sum() return calculate_gains_ def calculate_gains_sparse(dtypes, parallel, fastmath, cache): @njit(dtypes, parallel=parallel, fastmath=fastmath, cache=cache) def calculate_gains_sparse_(X_data, X_indices, X_indptr, gains, current_values, idxs): for i in prange(idxs.shape[0]): idx = idxs[i] start = X_indptr[idx] end = X_indptr[idx+1] for j in range(start, end): k = X_indices[j] gains[i] += max(X_data[j], current_values[k]) - current_values[k] return calculate_gains_sparse_ def calculate_gains_sieve(dtypes, parallel, fastmath, cache): @njit(dtypes, parallel=parallel, fastmath=fastmath, cache=cache) def calculate_gains_sieve_(X, k, current_values, selections, gains, total_gains, max_values, n_selected, idxs): n, d = X.shape t = max_values.shape[0] for j in prange(t): for i in range(n): if n_selected[j] == k: break idx = idxs[i] threshold = (max_values[j] / 2. - total_gains[j]) / (k - n_selected[j]) maximum = numpy.maximum(X[i][:d], current_values[j][:d]) gain = maximum.mean() - total_gains[j] if gain > threshold: current_values[j][:d] = maximum total_gains[j] = maximum.mean() selections[j, n_selected[j]] = idx gains[j, n_selected[j]] = gain n_selected[j] += 1 return calculate_gains_sieve_ class FacilityLocationSelection(BaseGraphSelection): """A selector based off a facility location submodular function. Facility location functions are general purpose submodular functions that, when maximized, choose examples that represent the space of the data well. The facility location function is based on maximizing the pairwise similarities between the points in the data set and their nearest chosen point. The similarity function can be specified by the user but must be non-negative where a higher value indicates more similar. .. note:: All ~pairwise~ values in your data must be non-negative for this selection to work. In many ways, optimizing a facility location function is simply a greedy version of k-medoids, where after the first few examples are selected, the subsequent ones are at the center of clusters. The function, like most graph-based functions, operates on a pairwise similarity matrix, and successively chooses examples that are similar to examples whose current most-similar example is still very dissimilar. Phrased another way, successively chosen examples are representative of underrepresented examples. The general form of a facility location function is .. math:: f(X, Y) = \\sum\\limits_{y in Y} \\max_{x in X} \\phi(x, y) where :math:`f` indicates the function, :math:`X` is a subset, :math:`Y` is the ground set, and :math:`\\phi` is the similarity measure between two examples. Like most graph-based functons, the facility location function requires access to the full ground set. This implementation allows users to pass in either their own symmetric square matrix of similarity values, or a data matrix as normal and a function that calculates these pairwise values. For more details, see https://las.inf.ethz.ch/files/krause12survey.pdf page 4. Parameters ---------- n_samples : int The number of samples to return. metric : str, optional The method for converting a data matrix into a square symmetric matrix of pairwise similarities. If a string, can be any of the metrics implemented in sklearn (see https://scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise_distances.html), including "precomputed" if one has already generated a similarity matrix. Note that sklearn calculates distance matrices whereas apricot operates on similarity matrices, and so a distances.max() - distances transformation is performed on the resulting distances. For backcompatibility, 'corr' will be read as 'correlation'. Default is 'euclidean'. initial_subset : list, numpy.ndarray or None, optional If provided, this should be a list of indices into the data matrix to use as the initial subset, or a group of examples that may not be in the provided data should beused as the initial subset. If indices, the provided array should be one-dimensional. If a group of examples, the data should be 2 dimensional. Default is None. optimizer : string or optimizers.BaseOptimizer, optional The optimization approach to use for the selection. Default is 'two-stage', which makes selections using the naive greedy algorithm initially and then switches to the lazy greedy algorithm. Must be one of 'random' : randomly select elements (dummy optimizer) 'modular' : approximate the function using its modular upper bound 'naive' : the naive greedy algorithm 'lazy' : the lazy (or accelerated) greedy algorithm 'approximate-lazy' : the approximate lazy greedy algorithm 'two-stage' : starts with naive and switches to lazy 'stochastic' : the stochastic greedy algorithm 'sample' : randomly take a subset and perform selection on that 'greedi' : the GreeDi distributed algorithm 'bidirectional' : the bidirectional greedy algorithm Default is 'two-stage'. optimizer_kwds : dict or None A dictionary of arguments to pass into the optimizer object. The keys of this dictionary should be the names of the parameters in the optimizer and the values in the dictionary should be the values that these parameters take. Default is None. n_neighbors : int or None When constructing a similarity matrix, the number of nearest neighbors whose similarity values will be kept. The result is a sparse similarity matrix which can significantly speed up computation at the cost of accuracy. Default is None. reservoir : numpy.ndarray or None The reservoir to use when calculating gains in the sieve greedy streaming optimization algorithm in the `partial_fit` method. Currently only used for graph-based functions. If a numpy array is passed in, it will be used as the reservoir. If None is passed in, will use reservoir sampling to collect a reservoir. Default is None. max_reservoir_size : int The maximum size that the reservoir can take. If a reservoir is passed in, this value is set to the size of that array. Default is 1000. n_jobs : int The number of threads to use when performing computation in parallel. Currently, this parameter is exposed but does not actually do anything. This will be fixed soon. random_state : int or RandomState or None, optional The random seed to use for the random selection process. Only used for stochastic greedy. verbose : bool Whether to print output during the selection process. Attributes ---------- n_samples : int The number of samples to select. ranking : numpy.array int The selected samples in the order of their gain. gains : numpy.array float The gain of each sample in the returned set when it was added to the growing subset. The first number corresponds to the gain of the first added sample, the second corresponds to the gain of the second added sample, and so forth. """ def __init__(self, n_samples, metric='euclidean', initial_subset=None, optimizer='lazy', optimizer_kwds={}, n_neighbors=None, reservoir=None, max_reservoir_size=1000, n_jobs=1, random_state=None, verbose=False): super(FacilityLocationSelection, self).__init__(n_samples=n_samples, metric=metric, initial_subset=initial_subset, optimizer=optimizer, optimizer_kwds=optimizer_kwds, n_neighbors=n_neighbors, reservoir=reservoir, max_reservoir_size=max_reservoir_size, n_jobs=n_jobs, random_state=random_state, verbose=verbose) def fit(self, X, y=None, sample_weight=None, sample_cost=None): """Run submodular optimization to select the examples. This method is a wrapper for the full submodular optimization process. It takes in some data set (and optionally labels that are ignored during this process) and selects `n_samples` from it in the greedy manner specified by the optimizer. This method will return the selector object itself, not the transformed data set. The `transform` method will then transform a data set to the selected points, or alternatively one can use the ranking stored in the `self.ranking` attribute. The `fit_transform` method will perform both optimization and selection and return the selected items. Parameters ---------- X : list or numpy.ndarray, shape=(n, d) The data set to transform. Must be numeric. y : list or numpy.ndarray or None, shape=(n,), optional The labels to transform. If passed in this function will return both the data and th corresponding labels for the rows that have been selected. sample_weight : list or numpy.ndarray or None, shape=(n,), optional The weight of each example. Currently ignored in apricot but included to maintain compatibility with sklearn pipelines. sample_cost : list or numpy.ndarray or None, shape=(n,), optional The cost of each item. If set, indicates that optimization should be performed with respect to a knapsack constraint. Returns ------- self : FacilityLocationSelection The fit step returns this selector object. """ return super(FacilityLocationSelection, self).fit(X, y=y, sample_weight=sample_weight, sample_cost=sample_cost) def _initialize(self, X_pairwise): super(FacilityLocationSelection, self)._initialize(X_pairwise) if self.initial_subset is None: pass elif self.initial_subset.ndim == 2: raise ValueError("When using facility location, the initial subset"\ " must be a one dimensional array of indices.") elif self.initial_subset.ndim == 1: if not self.sparse: for i in self.initial_subset: self.current_values = numpy.maximum(X_pairwise[i], self.current_values).astype('float64') else: for i in self.initial_subset: self.current_values = numpy.maximum( X_pairwise[i].toarray()[0], self.current_values).astype('float64') else: raise ValueError("The initial subset must be either a two dimensional" \ " matrix of examples or a one dimensional mask.") self.current_values_sum = self.current_values.sum() self.calculate_gains_ = calculate_gains_sparse if self.sparse else calculate_gains dtypes_ = sdtypes if self.sparse else dtypes if self.optimizer in (LazyGreedy, ApproximateLazyGreedy): self.calculate_gains_ = self.calculate_gains_(dtypes_, False, True, False) elif self.optimizer in ('lazy', 'approimate-lazy'): self.calculate_gains_ = self.calculate_gains_(dtypes_, False, True, False) else: self.calculate_gains_ = self.calculate_gains_(dtypes_, True, True, False) #calculate_sieve_gains_ = calculate_gains_sieve_sparse if self.sparse else calculate_gains_sieve #dtypes_ = sieve_sparse_dtypes if self.sparse else sieve_dtypes #self.calculate_sieve_gains_ = calculate_sieve_gains_(dtypes_, # True, True, False) self.calculate_sieve_gains_ = calculate_gains_sieve(sieve_dtypes, True, True, False) def _calculate_gains(self, X_pairwise, idxs=None): idxs = idxs if idxs is not None else self.idxs gains = numpy.zeros(idxs.shape[0], dtype='float64') if self.sparse: self.calculate_gains_(X_pairwise.data, X_pairwise.indices, X_pairwise.indptr, gains, self.current_values, idxs) else: self.calculate_gains_(X_pairwise, gains, self.current_values, idxs) gains -= self.current_values_sum return gains def _calculate_sieve_gains(self, X_pairwise, thresholds, idxs): """This function will update the internal statistics from a stream. This function will update the various internal statistics that are a part of the sieve algorithm for streaming submodular optimization. This function does not directly return gains but it updates the values used by a streaming optimizer. """ super(FacilityLocationSelection, self)._calculate_sieve_gains( X_pairwise,thresholds, idxs) if self.sparse: self.calculate_sieve_gains_(X_pairwise.data, X_pairwise.indices, X_pairwise.indptr, self.n_samples, self.sieve_current_values_, self.sieve_selections_, self.sieve_gains_, self.sieve_total_gains_, thresholds, self.sieve_n_selected_, idxs) else: self.calculate_sieve_gains_(X_pairwise, self.n_samples, self.sieve_current_values_, self.sieve_selections_, self.sieve_gains_, self.sieve_total_gains_, thresholds, self.sieve_n_selected_, idxs) def _select_next(self, X_pairwise, gain, idx): """This function will add the given item to the selected set.""" if self.sparse: self.current_values = numpy.maximum( X_pairwise.toarray()[0], self.current_values) else: self.current_values = numpy.maximum(X_pairwise, self.current_values) self.current_values_sum = self.current_values.sum() super(FacilityLocationSelection, self)._select_next( X_pairwise, gain, idx) jmschrei-apricot-bf86e69/apricot/functions/featureBased.py000066400000000000000000000334241414554015600240400ustar00rootroot00000000000000# featureBased.py # Author: Jacob Schreiber import math import numpy from .base import BaseSelection from ..optimizers import LazyGreedy from ..optimizers import ApproximateLazyGreedy from tqdm import tqdm from numba import njit from numba import prange import torch @njit('float64[:](float64[:])', fastmath=True) def sigmoid(X): return X / (1. + X) dtypes = 'void(float64[:,:], float64[:], float64[:], int64[:])' sparse_dtypes = 'void(float64[:], int32[:], int32[:], float64[:],' \ 'float64[:], float64[:], int64[:])' sieve_dtypes = 'void(float64[:,:], int64, float64[:,:], int64[:,:],' \ 'float64[:,:], float64[:], float64[:], int64[:], int64[:])' sieve_sparse_dtypes = 'void(float64[:], int32[:], int32[:], int64,' \ 'float64[:,:], int64[:,:], float64[:,:], float64[:], float64[:],' \ 'int64[:], int64[:])' def calculate_gains(func, dtypes, parallel, fastmath, cache): @njit(dtypes, parallel=parallel, fastmath=fastmath, cache=cache) def calculate_gains_(X, gains, current_values, idxs): for i in prange(idxs.shape[0]): idx = idxs[i] gains[i] = func(current_values + X[idx]).sum() return calculate_gains_ def calculate_gains_sparse(func, dtypes, parallel, fastmath, cache): @njit(dtypes, parallel=parallel, fastmath=fastmath, cache=cache) def calculate_gains_sparse_(X_data, X_indices, X_indptr, gains, current_values, current_concave_values, idxs): for i in prange(idxs.shape[0]): idx = idxs[i] start = X_indptr[idx] end = X_indptr[idx+1] for j in range(start, end): k = X_indices[j] gains[i] += (func(X_data[j] + current_values[k]) - current_concave_values[k]) return calculate_gains_sparse_ def calculate_gains_sieve(func, dtypes, parallel, fastmath, cache): @njit(dtypes, parallel=parallel, fastmath=fastmath, cache=cache) def calculate_gains_sieve_(X, k, current_values, selections, gains, total_gains, max_values, n_selected, idxs): n = X.shape[0] d = max_values.shape[0] for j in prange(d): for i in range(n): if n_selected[j] == k: break idx = idxs[i] threshold = (max_values[j] / 2. - total_gains[j]) / (k - n_selected[j]) gain = func(current_values[j] + X[i]).sum() - total_gains[j] if gain > threshold: current_values[j] += X[i] total_gains[j] += gain selections[j, n_selected[j]] = idx gains[j, n_selected[j]] = gain n_selected[j] += 1 return calculate_gains_sieve_ def calculate_gains_sieve_sparse(func, dtypes, parallel, fastmath, cache): @njit(dtypes, parallel=parallel, fastmath=fastmath, cache=cache) def calculate_gains_sieve_sparse_(X_data, X_indices, X_indptr, k, current_values, selections, gains, total_gains, max_values, n_selected, idxs): d = max_values.shape[0] for j in prange(d): for i in range(idxs.shape[0]): if n_selected[j] == k: break idx = idxs[i] start = X_indptr[i] end = X_indptr[i+1] threshold = (max_values[j] / 2. - total_gains[j]) / (k - n_selected[j]) gain = 0.0 for l in range(start, end): m = X_indices[l] gain += (func(current_values[j, m] + X_data[l]) - func(current_values[j, m])) if gain > threshold: for l in range(start, end): m = X_indices[l] current_values[j, m] += X_data[l] total_gains[j] += gain selections[j, n_selected[j]] = idx gains[j, n_selected[j]] = gain n_selected[j] += 1 return calculate_gains_sieve_sparse_ class FeatureBasedSelection(BaseSelection): """A selector based off a feature based submodular function. Feature-based functions are those that operate on the feature values of examples directly, rather than on a similarity matrix (or graph) derived from those features, as graph-based functions do. Because these functions do not require calculating and storing a :math:`\\mathcal{O}(n^{2})` sized matrix of similarities, they can easily scale to data sets with millions of examples. .. note:: All values in your data must be positive for this selection to work. The general form of a feature-based function is: .. math:: f(X) = \\sum\\limits_{d=1}^{D}\\phi\\left(\\sum\\limits_{i=1}^{N} X_{i, d}\\right) where :math:`f` indicates the function that uses the concave function :math:`\\phi` and is operating on a subset :math:`X` that has :math:`N` examples and :math:`D` dimensions. Importantly, :math:`X` is the subset and not the ground set, meaning that the time it takes to evaluate this function is proportional only to the size of the selected subset and not the size of the full data set, like it is for graph-based functions. See https://ieeexplore.ieee.org/document/6854213 for more details on feature based functions. Parameters ---------- n_samples : int The number of samples to return. concave_func : str or callable The type of concave function to apply to the feature values. You can pass in your own function to apply. Otherwise must be one of the following: 'log' : log(1 + X) 'sqrt' : sqrt(X) 'sigmoid' : X / (1 + X) initial_subset : list, numpy.ndarray or None If provided, this should be a list of indices into the data matrix to use as the initial subset, or a group of examples that may not be in the provided data should beused as the initial subset. If indices, the provided array should be one-dimensional. If a group of examples, the data should be 2 dimensional. optimizer : string or optimizers.BaseOptimizer, optional The optimization approach to use for the selection. Default is 'two-stage', which makes selections using the naive greedy algorithm initially and then switches to the lazy greedy algorithm. Must be one of 'random' : randomly select elements (dummy optimizer) 'modular' : approximate the function using its modular upper bound 'naive' : the naive greedy algorithm 'lazy' : the lazy (or accelerated) greedy algorithm 'approximate-lazy' : the approximate lazy greedy algorithm 'two-stage' : starts with naive and switches to lazy 'stochastic' : the stochastic greedy algorithm 'sample' : randomly take a subset and perform selection on that 'greedi' : the GreeDi distributed algorithm 'bidirectional' : the bidirectional greedy algorithm Default is 'two-stage'. optimizer_kwds : dict or None A dictionary of arguments to pass into the optimizer object. The keys of this dictionary should be the names of the parameters in the optimizer and the values in the dictionary should be the values that these parameters take. Default is None. reservoir : numpy.ndarray or None The reservoir to use when calculating gains in the sieve greedy streaming optimization algorithm in the `partial_fit` method. Currently only used for graph-based functions. If a numpy array is passed in, it will be used as the reservoir. If None is passed in, will use reservoir sampling to collect a reservoir. Default is None. max_reservoir_size : int The maximum size that the reservoir can take. If a reservoir is passed in, this value is set to the size of that array. Default is 1000. n_jobs : int The number of threads to use when performing computation in parallel. Currently, this parameter is exposed but does not actually do anything. This will be fixed soon. random_state : int or RandomState or None, optional The random seed to use for the random selection process. Only used for stochastic greedy. verbose : bool Whether to print output during the selection process. Attributes ---------- n_samples : int The number of samples to select. ranking : numpy.array int The selected samples in the order of their gain with the first number in the ranking corresponding to the index of the first sample that was selected by the greedy procedure. gains : numpy.array float The gain of each sample in the returned set when it was added to the growing subset. The first number corresponds to the gain of the first added sample, the second corresponds to the gain of the second added sample, and so forth. """ def __init__(self, n_samples, concave_func='sqrt', initial_subset=None, optimizer='two-stage', optimizer_kwds={}, reservoir=None, max_reservoir_size=1000, n_jobs=1, random_state=None, verbose=False): self.concave_func_name = concave_func if concave_func == 'log': self.concave_func = numpy.log1p elif concave_func == 'sqrt': self.concave_func = numpy.sqrt elif concave_func == 'sigmoid': self.concave_func = sigmoid elif callable(concave_func): self.concave_func = concave_func else: raise KeyError("Must be one of 'log', 'sqrt', 'sigmoid', or a any other numpy, scipy, or numba-compiled function.") super(FeatureBasedSelection, self).__init__(n_samples=n_samples, initial_subset=initial_subset, optimizer=optimizer, optimizer_kwds=optimizer_kwds, reservoir=reservoir, max_reservoir_size=max_reservoir_size, n_jobs=n_jobs, random_state=random_state, verbose=verbose) def fit(self, X, y=None, sample_weight=None, sample_cost=None): """Run submodular optimization to select the examples. This method is a wrapper for the full submodular optimization process. It takes in some data set (and optionally labels that are ignored during this process) and selects `n_samples` from it in the greedy manner specified by the optimizer. This method will return the selector object itself, not the transformed data set. The `transform` method will then transform a data set to the selected points, or alternatively one can use the ranking stored in the `self.ranking` attribute. The `fit_transform` method will perform both optimization and selection and return the selected items. Parameters ---------- X : list or numpy.ndarray, shape=(n, d) The data set to transform. Must be numeric. y : list or numpy.ndarray or None, shape=(n,), optional The labels to transform. If passed in this function will return both the data and th corresponding labels for the rows that have been selected. sample_weight : list or numpy.ndarray or None, shape=(n,), optional The weight of each example. Currently ignored in apricot but included to maintain compatibility with sklearn pipelines. sample_cost : list or numpy.ndarray or None, shape=(n,), optional The cost of each item. If set, indicates that optimization should be performed with respect to a knapsack constraint. Returns ------- self : FeatureBasedSelection The fit step returns this selector object. """ return super(FeatureBasedSelection, self).fit(X, y=y, sample_weight=sample_weight, sample_cost=sample_cost) def _initialize(self, X): super(FeatureBasedSelection, self)._initialize(X) if self.initial_subset is None: pass elif self.initial_subset.ndim == 2: self.current_values = self.initial_subset.sum(axis=0).astype('float64') elif self.initial_subset.ndim == 1: self.current_values = X[self.initial_subset].sum(axis=0).astype('float64') else: raise ValueError("The initial subset must be either a two dimensional" \ " matrix of examples or a one dimensional mask.") self.current_concave_values = self.concave_func(self.current_values) self.current_concave_values_sum = self.current_concave_values.sum() calculate_gains_ = calculate_gains_sparse if self.sparse else calculate_gains dtypes_ = sparse_dtypes if self.sparse else dtypes if self.optimizer in (LazyGreedy, ApproximateLazyGreedy, 'lazy', 'approximate-lazy'): self.calculate_gains_ = calculate_gains_(self.concave_func, dtypes_, False, True, False) else: self.calculate_gains_ = calculate_gains_(self.concave_func, dtypes_, True, True, False) calculate_sieve_gains_ = calculate_gains_sieve_sparse if self.sparse else calculate_gains_sieve dtypes_ = sieve_sparse_dtypes if self.sparse else sieve_dtypes self.calculate_sieve_gains_ = calculate_sieve_gains_(self.concave_func, dtypes_, True, True, False) def _calculate_gains(self, X, idxs=None): """This function will return the gain that each example would give. This function will return the gains that each example would give if added to the selected set. When a matrix of examples is given, a vector will be returned showing the gain for each example. When a single element is passed in, it will return a singe value.""" idxs = idxs if idxs is not None else self.idxs gains = numpy.zeros(idxs.shape[0], dtype='float64') if self.sparse: self.calculate_gains_(X.data, X.indices, X.indptr, gains, self.current_values, self.current_concave_values, idxs) else: self.calculate_gains_(X, gains, self.current_values, idxs) gains -= self.current_concave_values_sum return gains def _calculate_sieve_gains(self, X, thresholds, idxs): """This function will update the internal statistics from a stream. This function will update the various internal statistics that are a part of the sieve algorithm for streaming submodular optimization. This function does not directly return gains but it updates the values used by a streaming optimizer. """ super(FeatureBasedSelection, self)._calculate_sieve_gains(X, thresholds, idxs) if self.sparse: self.calculate_sieve_gains_(X.data, X.indices, X.indptr, self.n_samples, self.sieve_current_values_, self.sieve_selections_, self.sieve_gains_, self.sieve_total_gains_, thresholds, self.sieve_n_selected_, idxs) else: self.calculate_sieve_gains_(X, self.n_samples, self.sieve_current_values_, self.sieve_selections_, self.sieve_gains_, self.sieve_total_gains_, thresholds, self.sieve_n_selected_, idxs) def _select_next(self, X, gain, idx): """This function will add the given item to the selected set.""" if self.sparse: self.current_values += X.toarray()[0] else: self.current_values += X self.current_concave_values = self.concave_func(self.current_values) self.current_concave_values_sum = self.current_concave_values.sum() super(FeatureBasedSelection, self)._select_next( X, gain, idx) jmschrei-apricot-bf86e69/apricot/functions/graphCut.py000066400000000000000000000270201414554015600232160ustar00rootroot00000000000000# graphCut.py # Author: Jacob Schreiber import numpy from .base import BaseGraphSelection from ..utils import _calculate_pairwise_distances from tqdm import tqdm from numba import njit from numba import prange from scipy.sparse import csr_matrix sieve_dtypes = 'void(float64[:,:], int64, float64[:,:], int64[:,:],' \ 'float64[:,:], float64[:], float64[:], int64[:], float64[:], int64[:])' def calculate_gains_sieve(dtypes, parallel, fastmath, cache): @njit(dtypes, parallel=parallel, fastmath=fastmath, cache=cache) def calculate_gains_sieve_(X, k, current_values, selections, gains, total_gains, max_values, n_selected, row_sums, idxs): n, d = X.shape t = max_values.shape[0] for j in prange(t): for i in range(n): if n_selected[j] == k: break idx = idxs[i] threshold = (max_values[j] / 2. - total_gains[j]) / (k - n_selected[j]) gain = row_sums[i] - current_values[j, i] if gain > threshold: total_gains[j] += gain selections[j, n_selected[j]] = idx gains[j, n_selected[j]] = gain n_selected[j] += 1 return calculate_gains_sieve_ class GraphCutSelection(BaseGraphSelection): """A selector based on using a graph-cut function. Graph cuts are canonical class of functions that involves selecting examples that split the similarity matrix into subgraphs well. .. note:: All ~pairwise~ values in your data must be non-negative for this selection to work. The general form of a graph cut function is .. math:: f(X, V) = \\lambda\\sum_{v \\in V} \\sum_{x \\in X} \\phi(x, v) - \\sum_{x, y \\in X} \\phi(x, y) where :math:`f` indicates the function, :math:`X` is a subset, :math:`V` is the ground set, and :math:`\\phi` is the similarity measure between two examples. Like most graph-based functons, the graph-cut function requires access to the full similarity matrix. This implementation allows users to pass in either their own symmetric square matrix of similarity values, or a data matrix as normal and a function that calculates these pairwise values. Parameters ---------- n_samples : int The number of samples to return. metric : str, optional The method for converting a data matrix into a square symmetric matrix of pairwise similarities. If a string, can be any of the metrics implemented in sklearn (see https://scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise_distances.html), including "precomputed" if one has already generated a similarity matrix. Note that sklearn calculates distance matrices whereas apricot operates on similarity matrices, and so a distances.max() - distances transformation is performed on the resulting distances. For backcompatibility, 'corr' will be read as 'correlation'. Default is 'euclidean'. alpha : float The weight of the first term in the graph-cut objective, which measures the how representative the selected examples are of the ground set. The larger this is, the more likely examples are chosen that are near points in the ground set, even if there are other already-selected examples that are similar. Default is 1. initial_subset : list, numpy.ndarray or None, optional If provided, this should be a list of indices into the data matrix to use as the initial subset, or a group of examples that may not be in the provided data should beused as the initial subset. If indices, the provided array should be one-dimensional. If a group of examples, the data should be 2 dimensional. Default is None. optimizer : string or optimizers.BaseOptimizer, optional The optimization approach to use for the selection. Default is 'two-stage', which makes selections using the naive greedy algorithm initially and then switches to the lazy greedy algorithm. Must be one of 'random' : randomly select elements (dummy optimizer) 'modular' : approximate the function using its modular upper bound 'naive' : the naive greedy algorithm 'lazy' : the lazy (or accelerated) greedy algorithm 'approximate-lazy' : the approximate lazy greedy algorithm 'two-stage' : starts with naive and switches to lazy 'stochastic' : the stochastic greedy algorithm 'sample' : randomly take a subset and perform selection on that 'greedi' : the GreeDi distributed algorithm 'bidirectional' : the bidirectional greedy algorithm Default is 'two-stage'. optimizer_kwds : dict or None A dictionary of arguments to pass into the optimizer object. The keys of this dictionary should be the names of the parameters in the optimizer and the values in the dictionary should be the values that these parameters take. Default is None. n_neighbors : int or None When constructing a similarity matrix, the number of nearest neighbors whose similarity values will be kept. The result is a sparse similarity matrix which can significantly speed up computation at the cost of accuracy. Default is None. reservoir : numpy.ndarray or None The reservoir to use when calculating gains in the sieve greedy streaming optimization algorithm in the `partial_fit` method. Currently only used for graph-based functions. If a numpy array is passed in, it will be used as the reservoir. If None is passed in, will use reservoir sampling to collect a reservoir. Default is None. max_reservoir_size : int The maximum size that the reservoir can take. If a reservoir is passed in, this value is set to the size of that array. Default is 1000. n_jobs : int The number of threads to use when performing computation in parallel. Currently, this parameter is exposed but does not actually do anything. This will be fixed soon. random_state : int or RandomState or None, optional The random seed to use for the random selection process. Only used for stochastic greedy. verbose : bool Whether to print output during the selection process. Attributes ---------- n_samples : int The number of samples to select. pairwise_func : callable A function that takes in a data matrix and converts it to a square symmetric matrix. ranking : numpy.array int The selected samples in the order of their gain. gains : numpy.array float The gain of each sample in the returned set when it was added to the growing subset. The first number corresponds to the gain of the first added sample, the second corresponds to the gain of the second added sample, and so forth. """ def __init__(self, n_samples=10, metric='euclidean', alpha=1, initial_subset=None, optimizer='naive', optimizer_kwds={}, n_neighbors=None, reservoir=None, max_reservoir_size=1000, n_jobs=1, random_state=None, verbose=False): self.alpha = alpha super(GraphCutSelection, self).__init__(n_samples=n_samples, metric=metric, initial_subset=initial_subset, optimizer=optimizer, n_neighbors=n_neighbors, reservoir=reservoir, max_reservoir_size=max_reservoir_size, n_jobs=n_jobs, random_state=random_state, optimizer_kwds={}, verbose=verbose) def fit(self, X, y=None, sample_weight=None, sample_cost=None): """Run submodular optimization to select the examples. This method is a wrapper for the full submodular optimization process. It takes in some data set (and optionally labels that are ignored during this process) and selects `n_samples` from it in the greedy manner specified by the optimizer. This method will return the selector object itself, not the transformed data set. The `transform` method will then transform a data set to the selected points, or alternatively one can use the ranking stored in the `self.ranking` attribute. The `fit_transform` method will perform both optimization and selection and return the selected items. Parameters ---------- X : list or numpy.ndarray, shape=(n, d) The data set to transform. Must be numeric. y : list or numpy.ndarray or None, shape=(n,), optional The labels to transform. If passed in this function will return both the data and th corresponding labels for the rows that have been selected. sample_weight : list or numpy.ndarray or None, shape=(n,), optional The weight of each example. Currently ignored in apricot but included to maintain compatibility with sklearn pipelines. sample_cost : list or numpy.ndarray or None, shape=(n,), optional The cost of each item. If set, indicates that optimization should be performed with respect to a knapsack constraint. Returns ------- self : GraphCutSelection The fit step returns this selector object. """ return super(GraphCutSelection, self).fit(X, y=y, sample_weight=sample_weight, sample_cost=sample_cost) def _initialize(self, X_pairwise): super(GraphCutSelection, self)._initialize(X_pairwise) if self.reservoir is not None: X_pairwise = _calculate_pairwise_distances(self._X, metric=self.metric) if self.sparse: self.row_sums = self.alpha * numpy.array(X_pairwise.sum(axis=1))[:,0] self.current_values = X_pairwise.diagonal().astype('float64') else: self.row_sums = self.alpha * X_pairwise.sum(axis=1) self.current_values = numpy.diag(X_pairwise).astype('float64') if self.initial_subset is None: pass elif self.initial_subset.ndim == 2: raise ValueError("When using graph-cut, the initial subset"\ " must be a one dimensional array of indices.") elif self.initial_subset.ndim == 1: if self.sparse: for i in self.initial_subset: self.current_values += X_pairwise[i].toarray()[0] * 2 else: for i in self.initial_subset: self.current_values += X_pairwise[i] * 2 else: raise ValueError("The initial subset must be either a two dimensional" \ " matrix of examples or a one dimensional mask.") self.calculate_sieve_gains_ = calculate_gains_sieve(sieve_dtypes, True, True, False) def _calculate_gains(self, X_pairwise, idxs=None): idxs = idxs if idxs is not None else self.idxs gains = self.row_sums[idxs] - self.current_values[idxs] return gains def _calculate_sieve_gains(self, X_pairwise, thresholds, idxs): """This function will update the internal statistics from a stream. This function will update the various internal statistics that are a part of the sieve algorithm for streaming submodular optimization. This function does not directly return gains but it updates the values used by a streaming optimizer. """ super(GraphCutSelection, self)._calculate_sieve_gains(X_pairwise, thresholds, idxs) n, m = X_pairwise.shape[0], len(thresholds) row_sums = self.alpha * X_pairwise.mean(axis=1) sieve_current_values_ = numpy.tile(numpy.diag( _calculate_pairwise_distances(self._X, metric=self.metric)), (m, 1)) for i in range(m): l = self.sieve_n_selected_[i] if l == self.n_samples or l == 0: continue sieve_current_values_[i] = _calculate_pairwise_distances( self._X, Y=self.sieve_subsets_[i, :l], metric=self.metric).mean(axis=1) if self.sparse: self.calculate_sieve_gains_(X_pairwise.data, X_pairwise.indices, X_pairwise.indptr, self.n_samples, sieve_current_values_, self.sieve_selections_, self.sieve_gains_, self.sieve_total_gains_, thresholds, self.sieve_n_selected_, idxs) else: self.calculate_sieve_gains_(X_pairwise, self.n_samples, sieve_current_values_, self.sieve_selections_, self.sieve_gains_, self.sieve_total_gains_, thresholds, self.sieve_n_selected_, row_sums, idxs) def _select_next(self, X_pairwise, gain, idx): """This function will add the given item to the selected set.""" if self.sparse: self.current_values += X_pairwise.toarray()[0] * 2 else: self.current_values += X_pairwise * 2 super(GraphCutSelection, self)._select_next( X_pairwise, gain, idx) jmschrei-apricot-bf86e69/apricot/functions/maxCoverage.py000066400000000000000000000314341414554015600237060ustar00rootroot00000000000000# maxCoverage.py # Author: Jacob Schreiber import numpy from .base import BaseSelection from ..optimizers import LazyGreedy from ..optimizers import ApproximateLazyGreedy from ..optimizers import SieveGreedy from numba import njit from numba import prange dtypes = 'void(float64[:,:], float64[:], float64[:], float64, int64[:])' sdtypes = 'void(float64[:], int32[:], int32[:], float64[:], float64[:], float64, int64[:])' sieve_dtypes = 'void(float64[:,:], int64, float64[:,:], int64[:,:],' \ 'float64[:,:], float64[:], float64[:], int64[:], float64, int64[:])' sieve_sparse_dtypes = 'void(float64[:], int32[:], int32[:], int64,' \ 'float64[:,:], int64[:,:], float64[:,:], float64[:], float64[:],' \ 'int64[:], float64, int64[:])' def calculate_gains(dtypes, parallel, fastmath, cache): @njit(dtypes, parallel=parallel, fastmath=fastmath, cache=cache) def calculate_gains_(X, gains, current_values, threshold, idxs): for i in prange(idxs.shape[0]): idx = idxs[i] gains[i] = numpy.fmin(current_values + X[idx], threshold).sum() return calculate_gains_ def calculate_gains_sparse(dtypes, parallel, fastmath, cache): @njit(sdtypes, parallel=parallel, fastmath=fastmath, cache=cache) def calculate_gains_sparse_(X_data, X_indices, X_indptr, gains, current_values, threshold, idxs): for i in prange(idxs.shape[0]): idx = idxs[i] start = X_indptr[idx] end = X_indptr[idx+1] for j in range(start, end): k = X_indices[j] gains[i] += min(X_data[j] + current_values[k], threshold) - current_values[k] return calculate_gains_sparse_ def calculate_gains_sieve(dtypes, parallel, fastmath, cache): @njit(dtypes, parallel=parallel, fastmath=fastmath, cache=cache) def calculate_gains_sieve_(X, k, current_values, selections, gains, total_gains, max_values, n_selected, thresh, idxs): n = X.shape[0] d = max_values.shape[0] for j in prange(d): for i in range(n): if n_selected[j] == k: break idx = idxs[i] threshold = (max_values[j] / 2. - total_gains[j]) / (k - n_selected[j]) gain = (numpy.fmin(current_values[j] + X[i], thresh).sum() - total_gains[j]) if gain > threshold: current_values[j] += X[i] total_gains[j] += gain selections[j, n_selected[j]] = idx gains[j, n_selected[j]] = gain n_selected[j] += 1 return calculate_gains_sieve_ def calculate_gains_sieve_sparse(dtypes, parallel, fastmath, cache): @njit(dtypes, parallel=parallel, fastmath=fastmath, cache=cache) def calculate_gains_sieve_sparse_(X_data, X_indices, X_indptr, k, current_values, selections, gains, total_gains, max_values, n_selected, thresh, idxs): d = max_values.shape[0] for j in prange(d): for i in range(idxs.shape[0]): if n_selected[j] == k: break idx = idxs[i] start = X_indptr[i] end = X_indptr[i+1] threshold = (max_values[j] / 2. - total_gains[j]) / (k - n_selected[j]) gain = 0.0 for l in range(start, end): m = X_indices[l] gain += (min(current_values[j, m] + X_data[l], thresh) - current_values[j, m]) if gain > threshold: for l in range(start, end): m = X_indices[l] current_values[j, m] = min(current_values[j, m] + X_data[l], thresh) total_gains[j] += gain selections[j, n_selected[j]] = idx gains[j, n_selected[j]] = gain n_selected[j] += 1 return calculate_gains_sieve_sparse_ class MaxCoverageSelection(BaseSelection): """A selector based off a coverage function. Maximum coverage functions aim to maximize the number of features that have a non-zero element in at least one selected example---there is no marginal benefit to observing a variable in two examples. If each variable is thought to be an item in a set, and the data is a binary matrix where a 1 indicates the item is present in the example and 0 indicates it is not, optimizing a maximum coverage function is a solution to the set coverage problem. These functions are useful when the space of variables is massive and each example only sees a small subset of them, which is a common situation when analyzing text data when the variables are words. The maximum coverage function is an instance of a feature-based function when the concave function is minimum. .. note:: All values in your data must be binary for this selection to work. The general form of a coverage function is: .. math:: f(X) = \\sum\\limits_{d=1}^{D} \\min \\left( \\sum\\limits_{n=1}^{N} X_{i, d}, 1 \\right) where :math:`f` indicates the function that operates on a subset :math:`X` that has :math:`N` examples and :math:`D` dimensions. Importantly, :math:`X` is the subset and not the ground set, meaning that the time it takes to evaluate this function is proportional only to the size of the selected subset and not the size of the full data set, like it is for graph-based functions. See https://www2.cs.duke.edu/courses/fall17/compsci632/scribing/scribe2.pdf where the problem is described as maximum coverage. Parameters ---------- n_samples : int The number of examples to return. initial_subset : list, numpy.ndarray or None If provided, this should be a list of indices into the data matrix to use as the initial subset, or a group of examples that may not be in the provided data should beused as the initial subset. If indices, the provided array should be one-dimensional. If a group of examples, the data should be 2 dimensional. optimizer : string or optimizers.BaseOptimizer, optional The optimization approach to use for the selection. Default is 'two-stage', which makes selections using the naive greedy algorithm initially and then switches to the lazy greedy algorithm. Must be one of 'random' : randomly select elements (dummy optimizer) 'modular' : approximate the function using its modular upper bound 'naive' : the naive greedy algorithm 'lazy' : the lazy (or accelerated) greedy algorithm 'approximate-lazy' : the approximate lazy greedy algorithm 'two-stage' : starts with naive and switches to lazy 'stochastic' : the stochastic greedy algorithm 'sample' : randomly take a subset and perform selection on that 'greedi' : the GreeDi distributed algorithm 'bidirectional' : the bidirectional greedy algorithm Default is 'two-stage'. optimizer_kwds : dict, optional Arguments to pass into the optimizer object upon initialization. Default is {}. n_jobs : int, optional The number of cores to use for processing. This value is multiplied by 2 when used to set the number of threads. If set to -1, use all cores and threads. Default is -1. random_state : int or RandomState or None, optional The random seed to use for the random selection process. Only used for stochastic greedy. verbose : bool Whether to print output during the selection process. Attributes ---------- n_samples : int The number of samples to select. ranking : numpy.array int The selected samples in the order of their gain with the first number in the ranking corresponding to the index of the first sample that was selected by the greedy procedure. gains : numpy.array float The gain of each sample in the returned set when it was added to the growing subset. The first number corresponds to the gain of the first added sample, the second corresponds to the gain of the second added sample, and so forth. """ def __init__(self, n_samples, threshold=1.0, initial_subset=None, optimizer='two-stage', optimizer_kwds={}, n_jobs=1, random_state=None, verbose=False): self.threshold = threshold super(MaxCoverageSelection, self).__init__(n_samples=n_samples, initial_subset=initial_subset, optimizer=optimizer, optimizer_kwds=optimizer_kwds, n_jobs=n_jobs, random_state=random_state, verbose=verbose) def fit(self, X, y=None, sample_weight=None, sample_cost=None): """Run submodular optimization to select the examples. This method is a wrapper for the full submodular optimization process. It takes in some data set (and optionally labels that are ignored during this process) and selects `n_samples` from it in the greedy manner specified by the optimizer. This method will return the selector object itself, not the transformed data set. The `transform` method will then transform a data set to the selected points, or alternatively one can use the ranking stored in the `self.ranking` attribute. The `fit_transform` method will perform both optimization and selection and return the selected items. Parameters ---------- X : list or numpy.ndarray, shape=(n, d) The data set to transform. Must be numeric. y : list or numpy.ndarray or None, shape=(n,), optional The labels to transform. If passed in this function will return both the data and th corresponding labels for the rows that have been selected. sample_weight : list or numpy.ndarray or None, shape=(n,), optional The weight of each example. Currently ignored in apricot but included to maintain compatibility with sklearn pipelines. sample_cost : list or numpy.ndarray or None, shape=(n,), optional The cost of each item. If set, indicates that optimization should be performed with respect to a knapsack constraint. Returns ------- self : FeatureBasedSelection The fit step returns this selector object. """ return super(MaxCoverageSelection, self).fit(X, y=y, sample_weight=sample_weight, sample_cost=sample_cost) def _initialize(self, X): super(MaxCoverageSelection, self)._initialize(X) if self.initial_subset is None: self.current_values = numpy.zeros(X.shape[1], dtype='float64') elif self.initial_subset.ndim == 2: self.current_values = numpy.fmin(self.threshold, self.initial_subset.sum(axis=0).astype('float64')) elif self.initial_subset.ndim == 1: self.current_values = numpy.fmin(self.threshold, X[self.initial_subset].sum(axis=0).astype('float64')) else: raise ValueError("The initial subset must be either a two dimensional" \ " matrix of examples or a one dimensional mask.") self.current_values_sum = self.current_values.sum() calculate_gains_ = calculate_gains_sparse if self.sparse else calculate_gains dtypes_ = sdtypes if self.sparse else dtypes if self.optimizer in (LazyGreedy, ApproximateLazyGreedy): self.calculate_gains_ = calculate_gains_(dtypes_, False, True, False) elif self.optimizer in ('lazy', 'approimate-lazy'): self.calculate_gains_ = calculate_gains_(dtypes_, False, True, False) else: self.calculate_gains_ = calculate_gains_(dtypes_, True, True, False) calculate_sieve_gains_ = calculate_gains_sieve_sparse if self.sparse else calculate_gains_sieve dtypes_ = sieve_sparse_dtypes if self.sparse else sieve_dtypes self.calculate_sieve_gains_ = calculate_sieve_gains_(dtypes_, True, True, False) def _calculate_gains(self, X, idxs=None): """This function will return the gain that each example would give. This function will return the gains that each example would give if added to the selected set. When a matrix of examples is given, a vector will be returned showing the gain for each example. When a single element is passed in, it will return a singe value.""" idxs = idxs if idxs is not None else self.idxs gains = numpy.zeros(idxs.shape[0], dtype='float64') if self.sparse: self.calculate_gains_(X.data, X.indices, X.indptr, gains, self.current_values, self.threshold, idxs) else: self.calculate_gains_(X, gains, self.current_values, self.threshold, idxs) gains -= self.current_values_sum return gains def _calculate_sieve_gains(self, X, thresholds, idxs): """This function will update the internal statistics from a stream. This function will update the various internal statistics that are a part of the sieve algorithm for streaming submodular optimization. This function does not directly return gains but it updates the values used by a streaming optimizer. """ super(MaxCoverageSelection, self)._calculate_sieve_gains(X, thresholds, idxs) if self.sparse: self.calculate_sieve_gains_(X.data, X.indices, X.indptr, self.n_samples, self.sieve_current_values_, self.sieve_selections_, self.sieve_gains_, self.sieve_total_gains_, thresholds, self.sieve_n_selected_, self.threshold, idxs) else: self.calculate_sieve_gains_(X, self.n_samples, self.sieve_current_values_, self.sieve_selections_, self.sieve_gains_, self.sieve_total_gains_, thresholds, self.sieve_n_selected_, self.threshold, idxs) def _select_next(self, X, gain, idx): """This function will add the given item to the selected set.""" if self.sparse: self.current_values = numpy.fmin(self.threshold, self.current_values + X.toarray()[0]) else: self.current_values = numpy.fmin(self.threshold, self.current_values + X) self.current_values_sum = self.current_values.sum() super(MaxCoverageSelection, self)._select_next( X, gain, idx)jmschrei-apricot-bf86e69/apricot/functions/mixture.py000066400000000000000000000257211414554015600231440ustar00rootroot00000000000000# mixture.py # Author: Jacob Schreiber import numpy from .base import BaseSelection from .base import BaseGraphSelection from ..utils import _calculate_pairwise_distances from tqdm import tqdm class MixtureSelection(BaseSelection): """A selection approach based on a mixture of submodular functions. A convenient property of submodular functions is that any linear combination of submodular functions is still submodular. More generally, the linear combination of any number of submodular functions (assuming non-negative weights) is still a submodular function. Because of this, a mixture of submodular functions can be optimized using the same algorithms as an individual submodular function. Mixtures can be useful in situations where there are different important aspects of data that are each submodular. The general form of a mixture function is .. math:: f(X) = \\sum\\limits_{i=1}^{M} \\alpha_{i} g_{i}(X) where :math:`f` indicates the mixture function, :math:`M` is the number of functions in the mixture, :math:`X` is a subset, :math:`\\alpha_{i}` is the weight of the :math:`i`-th function and :math:`g_{i}` is the :math:`i`-th function. .. note:: There must be at least two components to the mixture, and all :math:`\\alpha` must be non-negative. This class can also be used to add regularizers to the selection procedure. If a submodular function is mixed with another submodular function that acts as a regularizer, such as feature based selection mixed with a custom function measuring some property of the selected subset. Parameters ---------- n_samples : int The number of samples to return. functions : list The list of submodular functions to mix together. The submodular functions should be instantiated. weights : list, numpy.ndarray or None, optional The relative weight of each submodular function. This is the value that the gain from each submodular function is multiplied by before being added together. The default is equal weight for each function. initial_subset : list, numpy.ndarray or None, optional If provided, this should be a list of indices into the data matrix to use as the initial subset, or a group of examples that may not be in the provided data should beused as the initial subset. If indices, the provided array should be one-dimensional. If a group of examples, the data should be 2 dimensional. optimizer : string or optimizers.BaseOptimizer, optional The optimization approach to use for the selection. Default is 'two-stage', which makes selections using the naive greedy algorithm initially and then switches to the lazy greedy algorithm. Must be one of 'random' : randomly select elements (dummy optimizer) 'modular' : approximate the function using its modular upper bound 'naive' : the naive greedy algorithm 'lazy' : the lazy (or accelerated) greedy algorithm 'approximate-lazy' : the approximate lazy greedy algorithm 'two-stage' : starts with naive and switches to lazy 'stochastic' : the stochastic greedy algorithm 'sample' : randomly take a subset and perform selection on that 'greedi' : the GreeDi distributed algorithm 'bidirectional' : the bidirectional greedy algorithm Default is 'two-stage'. optimizer_kwds : dict or None A dictionary of arguments to pass into the optimizer object. The keys of this dictionary should be the names of the parameters in the optimizer and the values in the dictionary should be the values that these parameters take. Default is None. reservoir : numpy.ndarray or None The reservoir to use when calculating gains in the sieve greedy streaming optimization algorithm in the `partial_fit` method. Currently only used for graph-based functions. If a numpy array is passed in, it will be used as the reservoir. If None is passed in, will use reservoir sampling to collect a reservoir. Default is None. max_reservoir_size : int The maximum size that the reservoir can take. If a reservoir is passed in, this value is set to the size of that array. Default is 1000. n_jobs : int The number of threads to use when performing computation in parallel. Currently, this parameter is exposed but does not actually do anything. This will be fixed soon. random_state : int or RandomState or None, optional The random seed to use for the random selection process. Only used for stochastic greedy. verbose : bool, optional Whether to print output during the selection process. Attributes ---------- pq : PriorityQueue The priority queue used to implement the lazy greedy algorithm. n_samples : int The number of samples to select. submodular_functions : list A concave function for transforming feature values, often referred to as phi in the literature. weights : numpy.ndarray The weights of each submodular function. ranking : numpy.array int The selected samples in the order of their gain with the first number in the ranking corresponding to the index of the first sample that was selected by the greedy procedure. gains : numpy.array float The gain of each sample in the returned set when it was added to the growing subset. The first number corresponds to the gain of the first added sample, the second corresponds to the gain of the second added sample, and so forth. """ def __init__(self, n_samples, functions, weights=None, metric='ignore', initial_subset=None, optimizer='two-stage', optimizer_kwds={}, n_neighbors=None, reservoir=None, max_reservoir_size=1000, n_jobs=1, random_state=None, verbose=False): if len(functions) < 2: raise ValueError("Must mix at least two functions.") self.m = len(functions) self.functions = functions if weights is None: self.weights = numpy.ones(self.m, dtype='float64') else: self.weights = numpy.array(weights, dtype='float64', copy=False) super(MixtureSelection, self).__init__(n_samples=n_samples, initial_subset=initial_subset, optimizer=optimizer, optimizer_kwds=optimizer_kwds, reservoir=reservoir, max_reservoir_size=max_reservoir_size, n_jobs=n_jobs, random_state=random_state, verbose=verbose) self.metric = metric.replace("corr", "correlation") self.n_neighbors = n_neighbors for function in self.functions: function.initial_subset = self.initial_subset function.reservoir = reservoir function.max_reservoir_size = max_reservoir_size function.metric = 'precomputed' def fit(self, X, y=None, sample_weight=None, sample_cost=None): """Run submodular optimization to select the examples. This method is a wrapper for the full submodular optimization process. It takes in some data set (and optionally labels that are ignored during this process) and selects `n_samples` from it in the greedy manner specified by the optimizer. This method will return the selector object itself, not the transformed data set. The `transform` method will then transform a data set to the selected points, or alternatively one can use the ranking stored in the `self.ranking` attribute. The `fit_transform` method will perform both optimization and selection and return the selected items. Parameters ---------- X : list or numpy.ndarray, shape=(n, d) The data set to transform. Must be numeric. y : list or numpy.ndarray or None, shape=(n,), optional The labels to transform. If passed in this function will return both the data and th corresponding labels for the rows that have been selected. sample_weight : list or numpy.ndarray or None, shape=(n,), optional The weight of each example. Currently ignored in apricot but included to maintain compatibility with sklearn pipelines. sample_cost : list or numpy.ndarray or None, shape=(n,), optional The cost of each item. If set, indicates that optimization should be performed with respect to a knapsack constraint. Returns ------- self : MixtureSelection The fit step returns this selector object. """ # If self.metric is ignore, this will return the same matrix. # Otherwise, it will convert it to a pairwise similarity matrix. self._X = X X = _calculate_pairwise_distances(X, metric=self.metric, n_neighbors=self.n_neighbors) return super(MixtureSelection, self).fit(X, y=y, sample_weight=sample_weight, sample_cost=sample_cost) def _initialize(self, X): super(MixtureSelection, self)._initialize(X) for function in self.functions: function._initialize(X) def _calculate_gains(self, X, idxs=None): """This function will return the gain that each example would give. This function will return the gains that each example would give if added to the selected set. When a matrix of examples is given, a vector will be returned showing the gain for each example. When a single element is passed in, it will return a singe value.""" idxs = idxs if idxs is not None else self.idxs gains = numpy.zeros(idxs.shape[0], dtype='float64') for i, function in enumerate(self.functions): gains += function._calculate_gains(X, idxs) * self.weights[i] return gains def _calculate_sieve_gains(self, X, thresholds, idxs): super(MixtureSelection, self)._calculate_sieve_gains(X, thresholds, idxs) for function in self.functions: super(function.__class__, function)._calculate_sieve_gains(X, thresholds, idxs) t = numpy.zeros(thresholds.shape[0], dtype='float64') - 1 for j in range(X.shape[0]): x = X[j:j+1] current_values = [] total_gains = [] gain = numpy.zeros((len(thresholds), self.n_samples), dtype='float64') for i, function in enumerate(self.functions): current_values.append(function.sieve_current_values_.copy()) total_gains.append(function.sieve_total_gains_.copy()) function._calculate_sieve_gains(x, t, idxs) gain += function.sieve_gains_ * self.weights[i] for l in range(len(thresholds)): if self.sieve_n_selected_[l] == self.n_samples: continue threshold = ((thresholds[l] / 2. - self.sieve_total_gains_[l]) / (self.n_samples - self.sieve_n_selected_[l])) if gain[l, self.sieve_n_selected_[l]] > threshold: self.sieve_total_gains_[l] += gain[l, self.sieve_n_selected_[l]] self.sieve_selections_[l, self.sieve_n_selected_[l]] = idxs[j] self.sieve_gains_[l, self.sieve_n_selected_[l]] = gain[l, self.sieve_n_selected_[l]] self.sieve_n_selected_[l] += 1 else: v = self.sieve_n_selected_[l] for i, function in enumerate(self.functions): vi = function.sieve_n_selected_[l] if vi != self.sieve_n_selected_[l]: function.sieve_current_values_[l] = current_values[i][l] function.sieve_total_gains_[l] = total_gains[i][l] function.sieve_n_selected_[l] = vi - 1 if vi < self.n_samples: function.sieve_selections_[l, vi] = 0 function.sieve_gains_[l, vi] = 0 function.sieve_subsets_[l, vi] = 0 def _select_next(self, X, gain, idx): """This function will add the given item to the selected set.""" for function in self.functions: function._select_next(X, gain, idx) super(MixtureSelection, self)._select_next(X, gain, idx) jmschrei-apricot-bf86e69/apricot/functions/saturatedCoverage.py000066400000000000000000000245521414554015600251200ustar00rootroot00000000000000# saturatedCoverage.py # Author: Jacob Schreiber import numpy from .base import BaseGraphSelection from tqdm import tqdm from numba import njit from numba import prange from scipy.sparse import csr_matrix dtypes = 'void(float64[:,:], float64[:], float64[:], float64[:], int64[:])' sdtypes = 'void(float64[:], int32[:], int32[:], float64[:], float64[:], float64[:], int64[:])' @njit(dtypes, nogil=True, parallel=True) def select_next(X, gains, current_values, max_values, idxs): for i in prange(idxs.shape[0]): idx = idxs[i] gains[i] = numpy.minimum(current_values + X[idx], max_values).sum() @njit(sdtypes, nogil=True, parallel=True) def select_next_sparse(X_data, X_indices, X_indptr, gains, current_values, max_values, idxs): for i in prange(idxs.shape[0]): idx = idxs[i] start = X_indptr[idx] end = X_indptr[idx+1] for j in range(start, end): k = X_indices[j] gains[i] += min(X_data[j] + current_values[k], max_values[k]) - current_values[k] class SaturatedCoverageSelection(BaseGraphSelection): """A saturated coverage submodular selection algorithm. The saturated coverage function is a graph-based function where the gain is the sum of the similarities between the candidate example and the entire ground set up until a certain point. Essentially, each example in the ground set contributes to the overall function until some prespecified level of "coverage" is met. Once an example is similar enough to the selected examples, it stops contributing to the function. .. note:: All ~pairwise~ values in your data must be positive for this selection to work. The general form of a saturated coverage function is .. math:: f(X, V) = \\sum_{v \\in V} \\min\\{\\sum_{x \\in X} \\phi(x, v), \\alpha\\} where :math:`f` indicates the function, :math:`X` is a subset, :math:`V` is the ground set, and :math:`\\phi` is the similarity measure between two examples, and :math:`\\alpha` is a parameter that, for each point in the ground set, specifies the maximum similarity that each example can have to the selected set (the saturation). Like most graph-based functons, the saturated coverage function requires access to the full ground set. Parameters ---------- n_samples : int The number of samples to return. metric : str, optional The method for converting a data matrix into a square symmetric matrix of pairwise similarities. If a string, can be any of the metrics implemented in sklearn (see https://scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise_distances.html), including "precomputed" if one has already generated a similarity matrix. Note that sklearn calculates distance matrices whereas apricot operates on similarity matrices, and so a distances.max() - distances transformation is performed on the resulting distances. For backcompatibility, 'corr' will be read as 'correlation'. Default is 'euclidean'. alpha : float The threshold at which to saturate. Larger values of alpha are closer to a modular function and smaller values of alpha are closer to all examples providing the same, small, gain. Default is 0.1. initial_subset : list, numpy.ndarray or None, optional If provided, this should be a list of indices into the data matrix to use as the initial subset, or a group of examples that may not be in the provided data should beused as the initial subset. If indices, the provided array should be one-dimensional. If a group of examples, the data should be 2 dimensional. Default is None. optimizer : string or optimizers.BaseOptimizer, optional The optimization approach to use for the selection. Default is 'two-stage', which makes selections using the naive greedy algorithm initially and then switches to the lazy greedy algorithm. Must be one of 'random' : randomly select elements (dummy optimizer) 'modular' : approximate the function using its modular upper bound 'naive' : the naive greedy algorithm 'lazy' : the lazy (or accelerated) greedy algorithm 'approximate-lazy' : the approximate lazy greedy algorithm 'two-stage' : starts with naive and switches to lazy 'stochastic' : the stochastic greedy algorithm 'sample' : randomly take a subset and perform selection on that 'greedi' : the GreeDi distributed algorithm 'bidirectional' : the bidirectional greedy algorithm Default is 'two-stage'. optimizer_kwds : dict or None A dictionary of arguments to pass into the optimizer object. The keys of this dictionary should be the names of the parameters in the optimizer and the values in the dictionary should be the values that these parameters take. Default is None. n_neighbors : int or None When constructing a similarity matrix, the number of nearest neighbors whose similarity values will be kept. The result is a sparse similarity matrix which can significantly speed up computation at the cost of accuracy. Default is None. reservoir : numpy.ndarray or None The reservoir to use when calculating gains in the sieve greedy streaming optimization algorithm in the `partial_fit` method. Currently only used for graph-based functions. If a numpy array is passed in, it will be used as the reservoir. If None is passed in, will use reservoir sampling to collect a reservoir. Default is None. max_reservoir_size : int The maximum size that the reservoir can take. If a reservoir is passed in, this value is set to the size of that array. Default is 1000. n_jobs : int The number of threads to use when performing computation in parallel. Currently, this parameter is exposed but does not actually do anything. This will be fixed soon. random_state : int or RandomState or None, optional The random seed to use for the random selection process. Only used for stochastic greedy. verbose : bool Whether to print output during the selection process. Attributes ---------- n_samples : int The number of samples to select. pairwise_func : callable A function that takes in a data matrix and converts it to a square symmetric matrix. ranking : numpy.array int The selected samples in the order of their gain. gains : numpy.array float The gain of each sample in the returned set when it was added to the growing subset. The first number corresponds to the gain of the first added sample, the second corresponds to the gain of the second added sample, and so forth. """ def __init__(self, n_samples=10, metric='euclidean', alpha=0.1, initial_subset=None, optimizer='two-stage', n_neighbors=None, n_jobs=1, random_state=None, reservoir=None, max_reservoir_size=None, optimizer_kwds={}, verbose=False): self.alpha = alpha super(SaturatedCoverageSelection, self).__init__(n_samples=n_samples, metric=metric,initial_subset=initial_subset, optimizer=optimizer, optimizer_kwds=optimizer_kwds, n_neighbors=n_neighbors, reservoir=reservoir, max_reservoir_size=max_reservoir_size, n_jobs=n_jobs, random_state=random_state, verbose=verbose) def fit(self, X, y=None, sample_weight=None, sample_cost=None): """Run submodular optimization to select the examples. This method is a wrapper for the full submodular optimization process. It takes in some data set (and optionally labels that are ignored during this process) and selects `n_samples` from it in the greedy manner specified by the optimizer. This method will return the selector object itself, not the transformed data set. The `transform` method will then transform a data set to the selected points, or alternatively one can use the ranking stored in the `self.ranking` attribute. The `fit_transform` method will perform both optimization and selection and return the selected items. Parameters ---------- X : list or numpy.ndarray, shape=(n, d) The data set to transform. Must be numeric. y : list or numpy.ndarray or None, shape=(n,), optional The labels to transform. If passed in this function will return both the data and th corresponding labels for the rows that have been selected. sample_weight : list or numpy.ndarray or None, shape=(n,), optional The weight of each example. Currently ignored in apricot but included to maintain compatibility with sklearn pipelines. sample_cost : list or numpy.ndarray or None, shape=(n,), optional The cost of each item. If set, indicates that optimization should be performed with respect to a knapsack constraint. Returns ------- self : SaturatedCoverageSelection The fit step returns this selector object. """ return super(SaturatedCoverageSelection, self).fit(X, y=y, sample_weight=sample_weight, sample_cost=sample_cost) def _initialize(self, X_pairwise): super(SaturatedCoverageSelection, self)._initialize(X_pairwise) if self.sparse: self.max_values = self.alpha * numpy.array( X_pairwise.sum(axis=1))[:,0] else: self.max_values = self.alpha * X_pairwise.sum(axis=1) if self.initial_subset is None: return elif self.initial_subset.ndim == 2: raise ValueError("When using saturated coverage, the initial subset"\ " must be a one dimensional array of indices.") elif self.initial_subset.ndim == 1: if not self.sparse: for i in self.initial_subset: self.current_values = numpy.minimum(self.max_values, self.current_values + X_pairwise[i]) else: for i in self.initial_subset: self.current_values = numpy.minimum(self.max_values, self.current_values + X_pairwise[i].toaray()[0]) else: raise ValueError("The initial subset must be either a two dimensional" \ " matrix of examples or a one dimensional mask.") def _calculate_gains(self, X_pairwise, idxs=None): idxs = idxs if idxs is not None else self.idxs gains = numpy.zeros(idxs.shape[0], dtype='float64') if self.sparse: select_next_sparse(X_pairwise.data, X_pairwise.indices, X_pairwise.indptr, gains, self.current_values, self.max_values, idxs) else: select_next(X_pairwise, gains, self.current_values, self.max_values, idxs) gains -= self.current_values.sum() return gains def _select_next(self, X_pairwise, gain, idx): """This function will add the given item to the selected set.""" if self.sparse: self.current_values = numpy.minimum(self.max_values, X_pairwise.toarray()[0] + self.current_values) else: self.current_values = numpy.minimum(self.max_values, self.current_values + X_pairwise) super(SaturatedCoverageSelection, self)._select_next( X_pairwise, gain, idx) jmschrei-apricot-bf86e69/apricot/functions/sumRedundancy.py000066400000000000000000000220221414554015600242570ustar00rootroot00000000000000# sumRedundancy.py # Author: Jacob Schreiber import numpy from .base import BaseGraphSelection from tqdm import tqdm class SumRedundancySelection(BaseGraphSelection): """A selector based off a sum redundancy submodular function. The sum redundancy function is a graph-based function that penalizes redundancy among the selected set. This approach is straightforward, in that it simply involved a sum. It is also fast in comparison to a facility location function because it involves only performing calculation over the selected set as opposed to the entire ground set. Because the sum of the similarities is not submodular, it is subtracted from the sum of the entire similarity matrix, such that examples that are highly similar to each other result in a lower value than examples that are not very similar. .. note:: All ~pairwise~ values in your data must be positive for this selection to work. The general form of a sum redundancy function is .. math:: f(X, V) = \sum_{x, y \in V} \phi(x, y) - \sum_{x, y\in X} \phi(x,y) where :math:`f` indicates the function, :math:`X` is the selected subset, :math:`V` is the ground set, and :math:`\phi` is the similarity measure between two examples. While sum redundancy functions involves calculating the sum of the entire similarity matrix in principle, in practice if one is only calculating the gains this step can be ignored. This implementation allows users to pass in either their own symmetric square matrix of similarity values, or a data matrix as normal and a function that calculates these pairwise values. Parameters ---------- n_samples : int The number of samples to return. metric : str, optional The method for converting a data matrix into a square symmetric matrix of pairwise similarities. If a string, can be any of the metrics implemented in sklearn (see https://scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise_distances.html), including "precomputed" if one has already generated a similarity matrix. Note that sklearn calculates distance matrices whereas apricot operates on similarity matrices, and so a distances.max() - distances transformation is performed on the resulting distances. For backcompatibility, 'corr' will be read as 'correlation'. Default is 'euclidean'. initial_subset : list, numpy.ndarray or None, optional If provided, this should be a list of indices into the data matrix to use as the initial subset, or a group of examples that may not be in the provided data should beused as the initial subset. If indices, the provided array should be one-dimensional. If a group of examples, the data should be 2 dimensional. Default is None. optimizer : string or optimizers.BaseOptimizer, optional The optimization approach to use for the selection. Default is 'two-stage', which makes selections using the naive greedy algorithm initially and then switches to the lazy greedy algorithm. Must be one of 'random' : randomly select elements (dummy optimizer) 'modular' : approximate the function using its modular upper bound 'naive' : the naive greedy algorithm 'lazy' : the lazy (or accelerated) greedy algorithm 'approximate-lazy' : the approximate lazy greedy algorithm 'two-stage' : starts with naive and switches to lazy 'stochastic' : the stochastic greedy algorithm 'sample' : randomly take a subset and perform selection on that 'greedi' : the GreeDi distributed algorithm 'bidirectional' : the bidirectional greedy algorithm Default is 'two-stage'. optimizer_kwds : dict or None A dictionary of arguments to pass into the optimizer object. The keys of this dictionary should be the names of the parameters in the optimizer and the values in the dictionary should be the values that these parameters take. Default is None. n_neighbors : int or None When constructing a similarity matrix, the number of nearest neighbors whose similarity values will be kept. The result is a sparse similarity matrix which can significantly speed up computation at the cost of accuracy. Default is None. reservoir : numpy.ndarray or None The reservoir to use when calculating gains in the sieve greedy streaming optimization algorithm in the `partial_fit` method. Currently only used for graph-based functions. If a numpy array is passed in, it will be used as the reservoir. If None is passed in, will use reservoir sampling to collect a reservoir. Default is None. max_reservoir_size : int The maximum size that the reservoir can take. If a reservoir is passed in, this value is set to the size of that array. Default is 1000. n_jobs : int The number of threads to use when performing computation in parallel. Currently, this parameter is exposed but does not actually do anything. This will be fixed soon. random_state : int or RandomState or None, optional The random seed to use for the random selection process. Only used for stochastic greedy. verbose : bool Whether to print output during the selection process. Attributes ---------- n_samples : int The number of samples to select. pairwise_func : callable A function that takes in a data matrix and converts it to a square symmetric matrix. ranking : numpy.array int The selected samples in the order of their gain. gains : numpy.array float The gain of each sample in the returned set when it was added to the growing subset. The first number corresponds to the gain of the first added sample, the second corresponds to the gain of the second added sample, and so forth. """ def __init__(self, n_samples=10, metric='euclidean', initial_subset=None, optimizer='two-stage', n_neighbors=None, reservoir=None, max_reservoir_size=1000, n_jobs=1, random_state=None, optimizer_kwds={}, verbose=False): super(SumRedundancySelection, self).__init__(n_samples=n_samples, metric=metric, initial_subset=initial_subset, optimizer=optimizer, n_neighbors=n_neighbors, reservoir=reservoir, max_reservoir_size=max_reservoir_size, n_jobs=n_jobs, random_state=random_state, optimizer_kwds=optimizer_kwds, verbose=verbose) def fit(self, X, y=None, sample_weight=None, sample_cost=None): """Run submodular optimization to select the examples. This method is a wrapper for the full submodular optimization process. It takes in some data set (and optionally labels that are ignored during this process) and selects `n_samples` from it in the greedy manner specified by the optimizer. This method will return the selector object itself, not the transformed data set. The `transform` method will then transform a data set to the selected points, or alternatively one can use the ranking stored in the `self.ranking` attribute. The `fit_transform` method will perform both optimization and selection and return the selected items. Parameters ---------- X : list or numpy.ndarray, shape=(n, d) The data set to transform. Must be numeric. y : list or numpy.ndarray or None, shape=(n,), optional The labels to transform. If passed in this function will return both the data and th corresponding labels for the rows that have been selected. sample_weight : list or numpy.ndarray or None, shape=(n,), optional The weight of each example. Currently ignored in apricot but included to maintain compatibility with sklearn pipelines. sample_cost : list or numpy.ndarray or None, shape=(n,), optional The cost of each item. If set, indicates that optimization should be performed with respect to a knapsack constraint. Returns ------- self : SumRedundancySelection The fit step returns this selector object. """ return super(SumRedundancySelection, self).fit(X, y=y, sample_weight=sample_weight, sample_cost=sample_cost) def _initialize(self, X_pairwise, idxs=None): super(SumRedundancySelection, self)._initialize(X_pairwise, idxs=idxs) idxs = idxs if idxs is not None else numpy.arange(X_pairwise.shape[0]) for i, idx in enumerate(idxs): self.current_values[i] = X_pairwise[idx, idx] if self.initial_subset is None: return elif self.initial_subset.ndim == 2: raise ValueError("When using saturated coverage, the initial subset"\ " must be a one dimensional array of indices.") elif self.initial_subset.ndim == 1: if not self.sparse: for i in self.initial_subset: self.current_values += X_pairwise[i] * 2 else: for i in self.initial_subset: self.current_values += X_pairwise[i].toarray()[0] * 2 else: raise ValueError("The initial subset must be either a two dimensional" \ " matrix of examples or a one dimensional mask.") def _calculate_gains(self, X_pairwise, idxs=None): idxs = idxs if idxs is not None else self.idxs return -self.current_values[idxs] def _select_next(self, X_pairwise, gain, idx): """This function will add the given item to the selected set.""" if self.sparse: self.current_values += X_pairwise.toarray()[0] * 2 else: self.current_values += X_pairwise * 2 super(SumRedundancySelection, self)._select_next( X_pairwise, gain, idx) jmschrei-apricot-bf86e69/apricot/optimizers.py000066400000000000000000001120331414554015600216350ustar00rootroot00000000000000# optimizers.py # Author: Jacob Schreiber import os import copy import numpy import scipy from tqdm import tqdm from .utils import PriorityQueue from .utils import check_random_state from .utils import _calculate_pairwise_distances class BaseOptimizer(object): """An approach for optimizing submodular functions. This object contains a single method, `select`, that implements an algorithm for optimizing submodular functions. This method will take in the data set, the number of examples to select, and a stored reference to the submodular function to be optimized, and yield a subset of examples. The method operates on the gains provided in the `_calculate_gains` method from the submodular function object and stores examples using the `_select_next` method. Parameters ---------- function : base.BaseSelection A submodular function that implements the `_calculate_gains` and `_select_next` methods. This is the function that will be optimized. verbose : bool Whether to display a progress bar during the optimization process. Attributes ---------- self.function : base.BaseSelection or None A submodular function that implements the `_calculate_gains` and `_select_next` methods. This is the function that will be optimized. If None, will be set by the selector when passed in. self.verbose : bool Whether to display a progress bar during the optimization process. """ def __init__(self, function=None, random_state=None, n_jobs=None, verbose=False): self.function = function self.random_state = check_random_state(random_state) self.n_jobs = n_jobs self.verbose = verbose self.gains_ = None def select(self, X, k): raise NotImplementedError class NaiveGreedy(BaseOptimizer): """The naive greedy algorithm for optimization. The naive greedy algorithm is the simplest greedy approach for optimizing submodular functions. The approach simply iterates through each example in the ground set that has not already been selected and calculates the gain in function value that would result from adding that example to the selected set. This process is embarassingly parallel and so is extremely amenable both to parallel processing and distributed computing. Further, because it is conceptually simple, it is also simple to implement. The naive greedy algorithm can be specified for any function by passing in `optimizer='naive'` to the relevant selector object. Here is an example of specifying the naive greedy algorithm for optimizing a feature-based function. .. code::python from apricot import FeatureBasedSelection X = numpy.random.randint(10, size=(10000, 100)) selector = FeatureBasedSelection(100, 'sqrt', optimizer='naive') selector.fit(X) Parameters ---------- self.function : base.BaseSelection A submodular function that implements the `_calculate_gains` and `_select_next` methods. This is the function that will be optimized. self.verbose : bool Whether to display a progress bar during the optimization process. Attributes ---------- self.function : base.BaseSelection A submodular function that implements the `_calculate_gains` and `_select_next` methods. This is the function that will be optimized. self.verbose : bool Whether to display a progress bar during the optimization process. self.gains_ : numpy.ndarray or None The gain that each example would give the last time that it was evaluated. """ def __init__(self, function=None, random_state=None, n_jobs=None, verbose=False): super(NaiveGreedy, self).__init__(function=function, random_state=random_state, n_jobs=n_jobs, verbose=verbose) def select(self, X, k, sample_cost=None): cost = 0.0 while cost < k: gains = self.function._calculate_gains(X) if sample_cost is None: idx = numpy.argmax(gains) best_idx = self.function.idxs[idx] idx_cost = 1 else: idxs = numpy.lexsort((numpy.arange(gains.shape[0]), -gains / sample_cost[self.function.idxs])) for idx in idxs: best_idx = self.function.idxs[idx] idx_cost = sample_cost[best_idx] if cost + idx_cost <= k: break else: break cost += idx_cost gain = gains[idx] self.function._select_next(X[best_idx], gain, best_idx) if self.verbose == True: self.function.pbar.update(round(idx_cost, 1)) class LazyGreedy(BaseOptimizer): """The lazy/accelerated greedy algorithm for optimization. The lazy (or accelerated) greedy algorithm is a fast alternate to the naive greedy algorithm that results in the same items being selected. This algorithm exploits the diminishing returns property of submodular functions in order to avoid re-evaluating examples that are known to provide little gain. If an example has a small gain relative to other examples, it is unlikely to be the next selected example because that gain can only go down as more items are selected. Thus, the example should only be re-evaluated once the gains of other examples have gotten smaller. The key idea of the lazy greedy algorithm is to maintain a priority queue where the examples are the elements in the queue and the priorities are the gains the last time they were evaluated. The algorithm has two steps. The first step is to calculate the gain that each example would have if selected first (the modular upper bound) and populate the priority queue using these values. The second step is to recalculate the gain of the first example in the priority queue and then add the example back into the queue. If the example remains at the front of the queue it is selected because no other example could have a larger gain once re-evaluated (due to the diminishing returns property). While the worst case time complexity of this algorithm is the same as the naive greedy algorithm, in practice it can be orders of magnitude faster. Empirically, it appears to accelerate graph-based functions much more than it does feature-based ones. Functions also seem to be more accelerated the more curved they are. .. code::python from apricot import FeatureBasedSelection X = numpy.random.randint(10, size=(10000, 100)) selector = FeatureBasedSelection(100, 'sqrt', optimizer='lazy') selector.fit(X) Parameters ---------- self.function : base.BaseSelection A submodular function that implements the `_calculate_gains` and `_select_next` methods. This is the function that will be optimized. self.verbose : bool Whether to display a progress bar during the optimization process. Attributes ---------- self.function : base.BaseSelection A submodular function that implements the `_calculate_gains` and `_select_next` methods. This is the function that will be optimized. self.verbose : bool Whether to display a progress bar during the optimization process. self.pq : utils.PriorityQueue The priority queue used to order examples for evaluation. self.gains_ : numpy.ndarray or None The gain that each example would give the last time that it was evaluated. """ def __init__(self, function=None, random_state=None, n_jobs=None, verbose=False): super(LazyGreedy, self).__init__(function=function, random_state=random_state, n_jobs=n_jobs, verbose=verbose) def select(self, X, k, sample_cost=None): cost = 0.0 if sample_cost is None: sample_cost = numpy.ones(X.shape[0], dtype='float64') gains = self.function._calculate_gains(X) / sample_cost[self.function.idxs] self.pq = PriorityQueue(self.function.idxs, -gains) while cost < k: best_gain = float("-inf") best_idx = None while True: if len(self.pq.pq) == 0: return prev_gain, idx = self.pq.pop() #prev_gain, idx = self.pq.peek() prev_gain = -prev_gain if cost + sample_cost[idx] > k: continue if best_idx == idx: break idxs = numpy.array([idx]) gain = self.function._calculate_gains(X, idxs)[0] / sample_cost[idx] #self.pq.swap(idx, -gain) self.pq.add(idx, -gain) if gain > best_gain: best_gain = gain best_idx = idx elif gain == best_gain and best_gain == 0.0: best_gain = gain best_idx = idx break cost += sample_cost[best_idx] best_gain *= sample_cost[best_idx] self.function._select_next(X[best_idx], best_gain, best_idx) if self.verbose == True: self.function.pbar.update(1) class ApproximateLazyGreedy(BaseOptimizer): """The approximate lazy/accelerated greedy algorithm for optimization. The approximate lazy greedy algorithm is a simple extension of the lazy greedy algorithm that, rather than requiring that an element remains at the top of the priority queue after being re-evaluated, only requires that the gain is within a certain user-defined percentage of the best gain to be selected. The key point in this approach is that finding the very best element while maintaining the priority queue may be expensive, but finding elements that are good enough is simple. While the best percentage to use is data set specific, even values near 1 can lead to large savings in computation. .. code::python from apricot import FeatureBasedSelection X = numpy.random.randint(10, size=(10000, 100)) selector = FeatureBasedSelection(100, 'sqrt', optimizer='approximate-lazy') selector.fit(X) Parameters ---------- self.function : base.BaseSelection A submodular function that implements the `_calculate_gains` and `_select_next` methods. This is the function that will be optimized. self.verbose : bool Whether to display a progress bar during the optimization process. Attributes ---------- self.function : base.BaseSelection A submodular function that implements the `_calculate_gains` and `_select_next` methods. This is the function that will be optimized. self.verbose : bool Whether to display a progress bar during the optimization process. self.pq : utils.PriorityQueue The priority queue used to order examples for evaluation. self.gains_ : numpy.ndarray or None The gain that each example would give the last time that it was evaluated. """ def __init__(self, function=None, beta=0.9, random_state=None, n_jobs=None, verbose=False): self.beta = beta super(ApproximateLazyGreedy, self).__init__(function=function, random_state=random_state, n_jobs=n_jobs, verbose=verbose) def select(self, X, k, sample_cost=None): cost = 0.0 if sample_cost is None: sample_cost = numpy.ones(X.shape[0], dtype='float64') gains = self.function._calculate_gains(X) / sample_cost[self.function.idxs] self.pq = PriorityQueue(self.function.idxs, -gains) while cost < k: while True: if len(self.pq.pq) == 0: return prev_gain, idx = self.pq.pop() prev_gain = -prev_gain if cost + sample_cost[idx] > k: continue idxs = numpy.array([idx]) gain = self.function._calculate_gains(X, idxs)[0] / sample_cost[idx] if gain >= self.beta * prev_gain: best_gain = gain best_idx = idx break else: self.pq.add(idx, -gain) cost += sample_cost[best_idx] best_gain *= sample_cost[best_idx] self.function._select_next(X[best_idx], best_gain, best_idx) if self.verbose == True: self.function.pbar.update(1) class TwoStageGreedy(BaseOptimizer): """An approach that switches between two optimizers midway through. The two-stage greedy optimizer is a general purpose framework for combining two optimizers by making the first :math:`n` selections out of :math:`k` total selections using one optimizer, and then making the remainder using the other. When the first optimizer is random selection and the second approach is naive/lazy greedy, this becomes partial enumeration. By default, the first algorithm is the naive greedy optimizer and the second algorithm is the lazy greedy. This combination results in the same selection as either optimizer individually but replaces the computationally intensive first few steps for the priority queue, where the algorithm may require scanning through almost the entire queue, with the parallelizable naive greedy algorithm. While, in theory, the lazy greedy algorithm will never perform more function calls than the naive greedy algorithm, there are costs associated both with maintaining a priority queue and with evaluating a single example instead of a batch of examples. This optimizer, with the naive greedy optimizer first and the lazy greedy optimizer second, is the default optimizer for apricot selectors. .. code::python from apricot import FeatureBasedSelection X = numpy.random.randint(10, size=(10000, 100)) selector = FeatureBasedSelection(100, 'sqrt', optimizer='two-stage') selector.fit(X) Parameters ---------- self.function : base.BaseSelection A submodular function that implements the `_calculate_gains` and `_select_next` methods. This is the function that will be optimized. self.n_first_selections : int The number of selections to perform using the naive greedy algorithm before populating the priority queue and using the lazy greedy algorithm. self.verbose : bool Whether to display a progress bar during the optimization process. Attributes ---------- self.function : base.BaseSelection A submodular function that implements the `_calculate_gains` and `_select_next` methods. This is the function that will be optimized. self.verbose : bool Whether to display a progress bar during the optimization process. """ def __init__(self, function=None, n_first_selections=10, optimizer1='naive', optimizer2='lazy', random_state=None, n_jobs=None, verbose=False): self.n_first_selections = n_first_selections self.optimizer1 = optimizer1 self.optimizer2 = optimizer2 super(TwoStageGreedy, self).__init__(function=function, random_state=random_state, n_jobs=n_jobs, verbose=verbose) def select(self, X, k, sample_cost=None): if isinstance(self.optimizer1, str): optimizer1 = OPTIMIZERS[self.optimizer1](function=self.function, verbose=self.verbose) elif not isinstance(self.optimizer1, BaseOptimizer): raise ValueError("optimizer1 must be either a string or an " / "optimized object.") else: optimizer1 = self.optimizer1 if isinstance(self.optimizer2, str): optimizer2 = OPTIMIZERS[self.optimizer2](function=self.function, verbose=self.verbose) elif not isinstance(self.optimizer2, BaseOptimizer): raise ValueError("optimizer1 must be either a string or an " / "optimized object.") else: optimizer2 = self.optimizer2 optimizer1.select(X, min(self.n_first_selections, k), sample_cost=sample_cost) if k > self.n_first_selections: m = k - self.n_first_selections optimizer2.select(X, m, sample_cost=sample_cost) class StochasticGreedy(BaseOptimizer): """The stochastic greedy algorithm for optimization. The stochastic greedy algorithm is a simple approach that, for each iteration, randomly selects a subset of data and then finds the best next example within that subset. The distinction between this approach and the sample greedy algorithm is that this subset changes at each iteration, meaning that the algorithm does cover the entire data set. In contrast, the sample greedy algorithm is equivalent to manually subsampling the data before running a selector on it. The size of this subset is proportional to the number of examples that are chosen and determined in a manner that results in the same amount of computation being done no matter how many elements are selected. A key idea from this approach is that, while the exact ranking of the elements may differ from the naive/lazy greedy approaches, the set of selected elements is likely to be similar despite the limited amount of computation. .. code::python from apricot import FeatureBasedSelection X = numpy.random.randint(10, size=(10000, 100)) selector = FeatureBasedSelection(100, 'sqrt', optimizer='stochastic') selector.fit(X) Parameters ---------- self.function : base.BaseSelection A submodular function that implements the `_calculate_gains` and `_select_next` methods. This is the function that will be optimized. epsilon : float, optional The inverse of the sampling probability of any particular point being included in the subset, such that 1 - epsilon is the probability that a point is included. Default is 0.9. random_state : int or RandomState or None, optional The random seed to use for the random selection process. self.verbose : bool Whether to display a progress bar during the optimization process. Attributes ---------- self.function : base.BaseSelection A submodular function that implements the `_calculate_gains` and `_select_next` methods. This is the function that will be optimized. self.verbose : bool Whether to display a progress bar during the optimization process. self.gains_ : numpy.ndarray or None The gain that each example would give the last time that it was evaluated. """ def __init__(self, function=None, epsilon=0.9, random_state=None, n_jobs=None, verbose=False): self.epsilon = epsilon super(StochasticGreedy, self).__init__(function=function, random_state=random_state, n_jobs=n_jobs, verbose=verbose) def select(self, X, k, sample_cost=None): cost = 0.0 if sample_cost is None: sample_cost = numpy.ones(X.shape[0], dtype='float64') n = X.shape[0] subset_size = -numpy.log(self.epsilon) * n / k subset_size = max(int(subset_size), 1) while cost < k: idxs = self.random_state.choice(self.function.idxs, replace=False, size=min(subset_size, self.function.idxs.shape[0])) gains = self.function._calculate_gains(X, idxs) / sample_cost[idxs] idxs_ = numpy.lexsort((numpy.arange(gains.shape[0]), -gains)) for idx in idxs_: best_idx = idxs[idx] if cost + sample_cost[best_idx] <= k: break else: return cost += sample_cost[best_idx] self.function._select_next(X[best_idx], gains[idx], best_idx) if self.verbose == True: self.function.pbar.update(1) class SampleGreedy(BaseOptimizer): """The sample greedy algorithm for optimization. The sample greedy algorithm is a simple approach that subsamples the full data set with a user-defined sampling probability and then runs an optimization on that subset. This subsampling can lead to obvious speed improvements because fewer elements as selected, but will generally find a lower quality subset because fewer elements are present. This approach is typically used a baseline for other approaches but can save a lot of time on massive data sets that are known to be highly redundant. .. code::python from apricot import FeatureBasedSelection X = numpy.random.randint(10, size=(10000, 100)) selector = FeatureBasedSelection(100, 'sqrt', optimizer='sample') selector.fit(X) Parameters ---------- self.function : base.BaseSelection A submodular function that implements the `_calculate_gains` and `_select_next` methods. This is the function that will be optimized. epsilon : float, optional The sampling probability to use when constructing the subset. A subset of size n * epsilon will be selected from. random_state : int or RandomState or None, optional The random seed to use for the random selection process. self.verbose : bool Whether to display a progress bar during the optimization process. Attributes ---------- self.function : base.BaseSelection A submodular function that implements the `_calculate_gains` and `_select_next` methods. This is the function that will be optimized. self.verbose : bool Whether to display a progress bar during the optimization process. self.gains_ : numpy.ndarray or None The gain that each example would give the last time that it was evaluated. """ def __init__(self, function=None, epsilon=0.9, optimizer='lazy', random_state=None, n_jobs=None, verbose=False): self.epsilon = epsilon self.optimizer = optimizer super(SampleGreedy, self).__init__(function=function, random_state=random_state, n_jobs=n_jobs, verbose=verbose) def select(self, X, k, sample_cost=None): n = X.shape[0] subset_size = max(int(n * self.epsilon), 1) idxs = self.random_state.choice(self.function.idxs, replace=False, size=n - subset_size) if isinstance(self.optimizer, str): optimizer = OPTIMIZERS[self.optimizer](function=self.function, verbose=self.verbose) elif not isinstance(self.optimizer, BaseOptimizer): raise ValueError("optimizer must be either a string or an " / "optimizer object.") else: optimizer = self.optimizer self.function.mask[idxs] = 1 self.function.idxs = numpy.where(self.function.mask == 0)[0] optimizer.select(X, k, sample_cost=sample_cost) class GreeDi(BaseOptimizer): """An approach for optimizing submodular functions on massive data sets. GreeDi is an optimizer that was designed to work on data sets that are too large to fit into memory. The approach involves first partitioning the data into :math:`m` equally sized chunks without any overlap. Then, :math:`l` elements are selected from each chunk using a standard optimizer like naive or lazy greedy. Finally, these :math:`ml` examples are merged and a standard optimizer selects :math:`k` examples from this set. In this manner, the algorithm sacrifices exactness to ensure that memory limitations are not an issue. There are a few considerations to keep in mind when using GreeDi. Naturally, :math:`ml` must both be larger than :math:`k` and also small enough to fit into memory. The larger :math:`l`, the closer the solution is to the exact solution but also the more compute time is required. Conversely, the larger :math:`m` is, the less exact the solution is. When using a graph-based function, increasing :math:`m` can dramatically reduce the amount of computation that needs to be performed, as well as the memory requirements, because the similarity matrix becomes smaller in size. However, feature-based functions are likely to see less of a speed improvement because the cost of evaluating an example is independent of the size of ground set. .. code::python from apricot import FeatureBasedSelection X = numpy.random.randint(10, size=(10000, 100)) selector = FeatureBasedSelection(100, 'sqrt', optimizer='greedi') selector.fit(X) Parameters ---------- function : base.BaseSelection A submodular function that implements the `_calculate_gains` and `_select_next` methods. This is the function that will be optimized. m : int The number of partitions to split the data into. l : int The number of exemplars to select from each partition. l*m must be larger than the number of exemplars k that will be selected later on. optimizer1 : str or base.Optimizer, optional The optimizer to use in the first stage of the process where l exemplars are selected from each partition. Default is 'lazy'. optimizer2 : str or base.Optimizer, optional The optimizer to use in the second stage where k exemplars are selected from the l*m exemplars returned from the first stage. Default is 'lazy'. random_state : int or RandomState or None, optional The random seed to use for the random selection process. verbose : bool Whether to display a progress bar during the optimization process. Attributes ---------- self.function : base.BaseSelection or None A submodular function that implements the `_calculate_gains` and `_select_next` methods. This is the function that will be optimized. If None, will be set by the selector when passed in. self.m : int The number of partitions that the data will be split into. self.l : int The number of exemplars that will be selected from each partition. self.verbose : bool Whether to display a progress bar during the optimization process. self.gains_ : numpy.ndarray or None The gain that each example would give the last time that it was evaluated. """ def __init__(self, function=None, m=None, l=None, optimizer1='lazy', optimizer2='lazy', random_state=None, n_jobs=None, verbose=False): self.m = m self.l = l self.optimizer1 = optimizer1 self.optimizer2 = optimizer2 super(GreeDi, self).__init__(function=function, random_state=random_state, n_jobs=n_jobs, verbose=verbose) def select(self, X, k, sample_cost=None): if self.m is None and self.l is None: self.m = 8 self.l = min(k // 4, X.shape[0] // self.m) if sample_cost is None: sample_cost = numpy.ones(X.shape[0], dtype='float64') if k > (self.m * self.l): raise ValueError("k must be smaller than m * l") partitions = numpy.arange(X.shape[0]) % self.m self.random_state.shuffle(partitions) optimizer1 = OPTIMIZERS[self.optimizer1](function=self.function, verbose=self.verbose) optimizer2 = OPTIMIZERS[self.optimizer2](function=self.function, verbose=self.verbose) rankings = [] for i in range(self.m): idxs = numpy.where(partitions == i)[0] X_subset = X[idxs] if X.shape[0] == X.shape[1]: X_subset = X_subset[:, idxs] self.function._initialize(X_subset) optimizer1.select(X_subset, self.l, sample_cost=sample_cost[idxs]) rankings.append(idxs[self.function.ranking]) rankings = numpy.concatenate(rankings) if self.verbose: self.function.pbar.close() self.function.pbar = tqdm(total=k) X_subset = X[rankings] if X.shape[0] == X.shape[1]: X_subset = X_subset[:, rankings] self.function._initialize(X_subset) optimizer2.select(X_subset, k, sample_cost=sample_cost[rankings]) rankings = rankings[self.function.ranking] self.function._initialize(X) for idx in rankings: gain = self.function._calculate_gains(X, numpy.array([idx]))[0] self.function._select_next(X[idx], gain, idx) class RandomGreedy(BaseOptimizer): """The naive greedy algorithm for optimization. This optimization approach is the naive greedy algorithm. At each iteration of selection it will simply calculate the gain one would get from adding each example, and then will select the example that has the highest gain. This algorithm is conceptually simple and easy to parallelize and put on a GPU, but can be slower than other alternatives because it involves repeatedly evaluating examples that are not likely to be selected next. Parameters ---------- self.function : base.BaseSelection A submodular function that implements the `_calculate_gains` and `_select_next` methods. This is the function that will be optimized. self.verbose : bool Whether to display a progress bar during the optimization process. Attributes ---------- self.function : base.BaseSelection A submodular function that implements the `_calculate_gains` and `_select_next` methods. This is the function that will be optimized. self.verbose : bool Whether to display a progress bar during the optimization process. """ def __init__(self, function=None, random_state=None, n_jobs=None, verbose=False): super(NaiveGreedy, self).__init__(function=function, random_state=random_state, n_jobs=n_jobs, verbose=verbose) def select(self, X, k, sample_cost=None): cost = 0.0 if sample_cost is None: sample_cost = numpy.ones(X.shape[0], dtype='float64') i = 0 while cost < k: idx = self.random_state.choice(self.random.idxs) if cost + sample_cost[idx] > k: continue cost += sample_cost[idx] gain = self.function._calculate_gains(X, idxs=numpy.array([idx]))[0] self.function._select_next(X[idx], gain, idx) if self.verbose == True: self.function.pbar.update(round(sample_cost[idx], 2)) class ModularGreedy(BaseOptimizer): """An approach that approximates a submodular function as modular. This approach approximates the submodular function by using its modular upper-bounds to do the selection. Essentially, a defining characteristic of submodular functions is the *diminishing returns* property where the gain of an example decreases with the number of selected examples. In contrast, modular functions have constant gains for examples regardless of the number of selected examples. Thus, approximating the submodular function as a modular function can serve as an upper-bound to the gain for each example during the selection process. This approximation makes the function simple to optimize because one would simply calculate the gain that each example yields before any examples are selected, sort the examples by this gain, and select the top :math:`k` examples. While this approach is fast, this approach is likely best paired with a traditional optimization algorithm after the first few examples are selected. .. code::python from apricot import FeatureBasedSelection X = numpy.random.randint(10, size=(10000, 100)) selector = FeatureBasedSelection(100, 'sqrt', optimizer='modular') selector.fit(X) Parameters ---------- self.function : base.BaseSelection A submodular function that implements the `_calculate_gains` and `_select_next` methods. This is the function that will be optimized. epsilon : float, optional The inverse of the sampling probability of any particular point being included in the subset, such that 1 - epsilon is the probability that a point is included. Default is 0.9. random_state : int or RandomState or None, optional The random seed to use for the random selection process. self.verbose : bool Whether to display a progress bar during the optimization process. Attributes ---------- self.function : base.BaseSelection A submodular function that implements the `_calculate_gains` and `_select_next` methods. This is the function that will be optimized. self.verbose : bool Whether to display a progress bar during the optimization process. self.gains_ : numpy.ndarray or None The gain that each example would give the last time that it was evaluated. """ def __init__(self, function=None, random_state=None, n_jobs=None, verbose=False): super(ModularGreedy, self).__init__(function=function, random_state=random_state, n_jobs=n_jobs, verbose=verbose) def select(self, X, k, sample_cost=None): """Select elements in a naive greedy manner.""" cost = 0.0 if sample_cost is None: sample_cost = numpy.ones(X.shape[0], dtype='float64') gains = self.function._calculate_gains(X) / sample_cost[self.function.idxs] idxs = gains.argsort()[::-1] for idx in idxs: if cost + sample_cost[idx] > k: continue cost += sample_cost[idx] gain = self.function._calculate_gains(X, idxs=numpy.array([idx]))[0] self.function._select_next(X[idx], gain, idx) if self.verbose == True: self.function.pbar.update(1) class BidirectionalGreedy(BaseOptimizer): """The bidirectional greedy algorithm. Most submodular optimizers assume that the function is *monotone*, i.e., that the gain from each successive example is positive. However, there are some cases where the key diminishing returns property holds, but the gains are not necessarily positive. The most obvious of these is a difference in submodular functions. In these cases, the naive greedy algorithm is not guaranteed to return a good result. The bidirectional greedy algorithm was developed to optimize non-monotone submodular functions. While it has a guarantee that is lower than the naive greedy algorithm has for monotone functions, it generally returns better sets than the greedy algorithm. .. code::python from apricot import FeatureBasedSelection X = numpy.random.randint(10, size=(10000, 100)) selector = FeatureBasedSelection(100, 'sqrt', optimizer='bidirectional') selector.fit(X) Parameters ---------- self.function : base.BaseSelection A submodular function that implements the `_calculate_gains` and `_select_next` methods. This is the function that will be optimized. self.verbose : bool Whether to display a progress bar during the optimization process. Attributes ---------- self.function : base.BaseSelection A submodular function that implements the `_calculate_gains` and `_select_next` methods. This is the function that will be optimized. self.verbose : bool Whether to display a progress bar during the optimization process. self.gains_ : numpy.ndarray or None The gain that each example would give the last time that it was evaluated. """ def __init__(self, function=None, random_state=None, n_jobs=None, verbose=False): super(BidirectionalGreedy, self).__init__(function=function, random_state=random_state, n_jobs=n_jobs, verbose=verbose) def select(self, X, k, sample_cost=None): """Select elements in a naive greedy manner.""" cost = 0.0 if sample_cost is None: sample_cost = numpy.ones(X.shape[0], dtype='float64') A = numpy.zeros(X.shape[0], dtype=bool) B = numpy.ones(X.shape[0], dtype=bool) idxs = numpy.arange(X.shape[0]) self.random_state.shuffle(idxs) gains = numpy.zeros(X.shape[0]) while True: for i in idxs: if A[i] == True: continue self.function.initial_subset = A self.function._initialize(X) gain_a = self.function._calculate_gains(X[i]) B[i] = False self.function.initial_subset = B self.function._initialize(X) gain_b = -self.function._calculate_gains(X[i]) B[i] = True if gain_a == gain_b == 0.0: p = 0.5 else: p = gain_a / (gain_a + gain_b) self.gains_[i] = p if self.random_state.uniform(0, 1) <= p: A[i] = True self.function._select_next(X[i], gain_a, i) if A.sum() == k: return else: B[i] = False class SieveGreedy(BaseOptimizer): """The sieve stream greedy algorithm. Most submodular optimizers assume that the function is *monotone*, i.e., that the gain from each successive example is positive. However, there are some cases where the key diminishing returns property holds, but the gains are not necessarily positive. The most obvious of these is a difference in submodular functions. In these cases, the naive greedy algorithm is not guaranteed to return a good result. The bidirectional greedy algorithm was developed to optimize non-monotone submodular functions. While it has a guarantee that is lower than the naive greedy algorithm has for monotone functions, it generally returns better sets than the greedy algorithm. .. code::python from apricot import FeatureBasedSelection X = numpy.random.randint(10, size=(10000, 100)) selector = FeatureBasedSelection(100, 'sqrt', optimizer='bidirectional') selector.fit(X) Parameters ---------- self.function : base.BaseSelection A submodular function that implements the `_calculate_gains` and `_select_next` methods. This is the function that will be optimized. self.verbose : bool Whether to display a progress bar during the optimization process. Attributes ---------- self.function : base.BaseSelection A submodular function that implements the `_calculate_gains` and `_select_next` methods. This is the function that will be optimized. self.verbose : bool Whether to display a progress bar during the optimization process. self.gains_ : numpy.ndarray or None The gain that each example would give the last time that it was evaluated. """ def __init__(self, function=None, epsilon=0.01, random_state=None, n_jobs=None, verbose=False): self.epsilon = epsilon self.n_seen_ = 0 self.thresholds = [1] self.max_gain = -1 super(SieveGreedy, self).__init__(function=function, random_state=random_state, n_jobs=n_jobs, verbose=verbose) def select(self, X, k, sample_cost=None): """Select elements in a naive greedy manner.""" # This is not a great use of the apricot API. An optimizer shouldn't # be using its own special gain calculating function. However, it is # much faster to do things this way so I'll keep it in for now. n, d = X.shape if sample_cost is None: sample_cost = numpy.ones(n, dtype='float64') r = X.shape[1] if self.function.reservoir is not None else 1 marginal_gains = self.function._calculate_gains(X) / sample_cost / r max_marginal_gain = marginal_gains.max() if max_marginal_gain > self.max_gain: self.max_gain = max_marginal_gain j = len(self.thresholds) threshold = (1 + self.epsilon) ** j - 1 while threshold <= self.max_gain * k: self.thresholds.append(threshold) j += 1 threshold = (1 + self.epsilon) ** j - 1 thresholds = numpy.array(self.thresholds, dtype='float64') idxs = numpy.arange(n, dtype='int64') + self.n_seen_ self.function._calculate_sieve_gains(X, thresholds, idxs) best_idx = numpy.argmax(self.function.sieve_total_gains_) ranking = self.function.sieve_selections_[best_idx] ranking = ranking[:self.function.sieve_n_selected_[best_idx]] gain = self.function.sieve_gains_[best_idx] gain = gain[:self.function.sieve_n_selected_[best_idx]] for i in range(len(self.thresholds)): for j in range(k): m = self.function.sieve_selections_[i, j] if m >= self.n_seen_: if isinstance(self.function._X, scipy.sparse.csr_matrix): self.function.sieve_subsets_[i, j] = self.function._X[m - self.n_seen_].toarray()[0] else: self.function.sieve_subsets_[i, j] = self.function._X[m - self.n_seen_] self.function.ranking = ranking self.function.gains = gain self.function.subset = self.function.sieve_subsets_[best_idx] self.n_seen_ += X.shape[0] OPTIMIZERS = { 'random' : RandomGreedy, 'modular' : ModularGreedy, 'naive' : NaiveGreedy, 'lazy' : LazyGreedy, 'approximate-lazy' : ApproximateLazyGreedy, 'two-stage' : TwoStageGreedy, 'stochastic' : StochasticGreedy, 'sample' : SampleGreedy, 'greedi' : GreeDi, 'bidirectional' : BidirectionalGreedy, 'sieve' : SieveGreedy, } jmschrei-apricot-bf86e69/apricot/utils.py000066400000000000000000000165771414554015600206100ustar00rootroot00000000000000# utils.py # Author: Jacob Schreiber """ This code contains utility functions to support the main functionality of the code. """ import numbers import numpy import itertools from heapq import heappush from heapq import heappop from heapq import heapify from heapq import heapreplace from scipy.sparse import csr_matrix from sklearn.metrics import pairwise_distances from sklearn.neighbors import KNeighborsTransformer class PriorityQueue(object): """A priority queue implementation. This is an implemented of a priority queue using a heap implemtnation. It has O(log n) time for adding and popping elements but constant time deletion. It is based off of the implementation that is provided at https://docs.python.org/2/library/heapq.html This implementation assumes that the items with the highest priority are the ones with the lowest "weight" that gets passed in. If higher weights are supposed to correspond to higher priority, consider reversing the sign of the weight. Parameters ---------- None Attributes ---------- pq : list A list containing the heapified priority queue. lookup : dict A dictionary containing links to each of the elements, allowing constant time lookups and deletions. """ def __init__(self, items=None, weights=None): self.counter = itertools.count() self.pq = [] if items is not None and weights is not None: for item, weight in zip(items, weights): entry = [weight, next(self.counter), item] self.pq.append(entry) heapify(self.pq) def add(self, item, weight): """Add an element to the priority queue. Runtime is O(log n). This adds in an element to the priority queue. If that element is already there it will automatically delete the previous instance and replace it with the new instance. Parameters ---------- item : object The object to be encoded. weight : double The priority of the item. The lower the weight the higher the priority when items get dequeued. If a higher weight is supposed to correspond to a higher priority, consider reversing the sign of the weight. Returns ------- None """ #if item in self.lookup: # self.remove(item) entry = [weight, next(self.counter), item] heappush(self.pq, entry) def pop(self): """Pop the highest priority element from the queue. Runtime is O(log n). This will remove the highest priority element from the queue. If there are no elements left in the queue it will raise an error. Parameters ---------- None Returns ------- weight : double The weight of the element as passed in in the `add` method item : object The item that was passed in in the `add` method """ weight, _, item = heappop(self.pq) return weight, item def peek(self): """Peek at the first element in the priority queue. Parameters ---------- None Returns ------- weight : double The weight of the element as passed in in the `add` method item : object The item that was passed in in the `add` method """ return self.pq[0][0], self.pq[0][2] def swap(self, item, weight): """An efficient way to pop the first element and add a new element. This is useful in our context because it allows us to pop the smallest element and to add a new element, i.e., remove an element and re-add it with the updated gain. Parameters ---------- item : object The object to be encoded. weight : double The priority of the item. The lower the weight the higher the priority when items get dequeued. If a higher weight is supposed to correspond to a higher priority, consider reversing the sign of the weight. Returns ------- None """ entry = [weight, next(self.counter), item] heapreplace(self.pq, entry) def check_random_state(seed): """Turn seed into a np.random.RandomState instance. This function will check to see whether the input seed is a valid seed for generating random numbers. This is a slightly modified version of the code from sklearn.utils.validation. Parameters ---------- seed : None | int | instance of RandomState If seed is None, return the RandomState singleton used by np.random. If seed is an int, return a new RandomState instance seeded with seed. If seed is already a RandomState instance, return it. Otherwise raise ValueError. """ if seed is None or seed is numpy.random: return numpy.random.mtrand._rand if isinstance(seed, (numbers.Integral, numpy.integer)): return numpy.random.RandomState(seed) if isinstance(seed, numpy.random.RandomState): return seed raise ValueError('%r cannot be used to seed a numpy.random.RandomState' ' instance' % seed) def _calculate_pairwise_distances(X, Y=None, metric='precomputed', n_neighbors=None): if metric in ('precomputed', 'ignore'): return X if n_neighbors is None: if metric == 'euclidean': X_pairwise = pairwise_distances(X, Y=Y, metric=metric, squared=True) elif metric == 'correlation' or metric == 'cosine': # An in-place version of: # X_pairwise = 1 - (1 - pairwise_distances(X, metric=metric)) ** 2 X_pairwise = pairwise_distances(X, Y=Y, metric=metric) X_pairwise = numpy.subtract(1, X_pairwise, out=X_pairwise) X_pairwise = numpy.square(X_pairwise, out=X_pairwise) X_pairwise = numpy.subtract(1, X_pairwise, out=X_pairwise) else: X_pairwise = pairwise_distances(X, Y=Y, metric=metric) else: if metric == 'correlation' or metric == 'cosine': # An in-place version of: # X = 1 - (1 - pairwise_distances(X, metric=metric)) ** 2 X = pairwise_distances(X, Y=Y, metric=metric) X = numpy.subtract(1, X, out=X) X = numpy.square(X, out=X) X = numpy.subtract(1, X, out=X) metric = 'precomputed' if isinstance(n_neighbors, int): X_pairwise = KNeighborsTransformer( n_neighbors=n_neighbors, metric=metric ).fit_transform(X) elif isinstance(n_neighbors, KNeighborsTransformer): X_pairwise = n_neighbors.fit_transform(X) if metric == 'correlation' or metric == 'cosine': if isinstance(X_pairwise, csr_matrix): X_pairwise.data = numpy.subtract(1, X_pairwise.data, out=X_pairwise.data) else: X_pairwise = numpy.subtract(1, X_pairwise, out=X_pairwise) else: if isinstance(X_pairwise, csr_matrix): X_pairwise.data = numpy.subtract(X_pairwise.max(), X_pairwise.data, out=X_pairwise.data) else: X_pairwise = numpy.subtract(X_pairwise.max(), X_pairwise, out=X_pairwise) return X_pairwisejmschrei-apricot-bf86e69/dev-requirements.txt000066400000000000000000000001261414554015600214540ustar00rootroot00000000000000numpy >= 1.14.2 scipy >= 1.0.0 numba >= 0.43 tqdm >= 4.24. scikit-learn >= 0.20.0 nosejmschrei-apricot-bf86e69/docs/000077500000000000000000000000001414554015600163455ustar00rootroot00000000000000jmschrei-apricot-bf86e69/docs/Makefile000066400000000000000000000011721414554015600200060ustar00rootroot00000000000000# Minimal makefile for Sphinx documentation # # You can set these variables from the command line, and also # from the environment for the first two. SPHINXOPTS ?= SPHINXBUILD ?= sphinx-build SOURCEDIR = . BUILDDIR = _build # Put it first so that "make" without argument is like "make help". help: @$(SPHINXBUILD) -M help "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O) .PHONY: help Makefile # Catch-all target: route all unknown targets to Sphinx using the new # "make mode" option. $(O) is meant as a shortcut for $(SPHINXOPTS). %: Makefile @$(SPHINXBUILD) -M $@ "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O) jmschrei-apricot-bf86e69/docs/_templates/000077500000000000000000000000001414554015600205025ustar00rootroot00000000000000jmschrei-apricot-bf86e69/docs/_templates/layout.html000066400000000000000000000004611414554015600227060ustar00rootroot00000000000000{% extends "!layout.html" %} {% block footer %} {{ super() }} {% endblock %}jmschrei-apricot-bf86e69/docs/conf.py000066400000000000000000000062431414554015600176510ustar00rootroot00000000000000# Configuration file for the Sphinx documentation builder. # # This file only contains a selection of the most common options. For a full # list see the documentation: # https://www.sphinx-doc.org/en/master/usage/configuration.html # -- Path setup -------------------------------------------------------------- # If extensions (or modules to document with autodoc) are in another directory, # add these directories to sys.path here. If the directory is relative to the # documentation root, use os.path.abspath to make it absolute, like shown here. # # import os # import sys # sys.path.insert(0, os.path.abspath('.')) # -- Project information ----------------------------------------------------- project = 'apricot' copyright = '2020, Jacob Schreiber' author = 'Jacob Schreiber' # The full version, including alpha/beta/rc tags release = 'v0.5.0' master_doc = 'index' # -- General configuration --------------------------------------------------- import sys import os import subprocess #subprocess.call('pip install numpydoc', shell=True) subprocess.call('pip install sklearn', shell=True) sys.path.insert(0, os.path.abspath('../../apricot')) # Add any Sphinx extension module names here, as strings. They can be # extensions coming with Sphinx (named 'sphinx.ext.*') or your custom # ones. extensions = [ 'sphinx.ext.autodoc', 'sphinx.ext.autosummary', 'sphinx.ext.doctest', 'sphinx.ext.todo', 'sphinx.ext.coverage', 'sphinx.ext.mathjax', 'sphinx.ext.viewcode', #'numpydoc' 'sphinx.ext.napoleon' ] autosummary_generate = True numpydoc_show_class_members = False class_members_toctree = False # Add any paths that contain templates here, relative to this directory. templates_path = ['_templates'] # The suffix(es) of source filenames. # You can specify multiple suffix as a list of string: # source_suffix = ['.rst', '.md'] source_suffix = '.rst' # The version info for the project you're documenting, acts as replacement for # |version| and |release|, also used in various other places throughout the # built documents. import apricot # The short X.Y version. # If you really want the short one use the next line. # version = '.'.join(pomegranate.__version__.split('.')[0:2]) # Use this version if you want the full version string in the document version = apricot.__version__ # The full version, including alpha/beta/rc tags. release = apricot.__version__ # List of patterns, relative to source directory, that match files and # directories to ignore when looking for source files. # This pattern also affects html_static_path and html_extra_path. exclude_patterns = ['_build', 'Thumbs.db', '.DS_Store'] # -- Options for HTML output ------------------------------------------------- # The name of the Pygments (syntax highlighting) style to use. pygments_style = 'sphinx' # The theme to use for HTML and HTML Help pages. See the documentation for # a list of builtin themes. # html_theme = 'sphinx_rtd_theme' # Add any paths that contain custom static files (such as style sheets) here, # relative to this directory. They are copied after the builtin static files, # so a file named "default.css" will overwrite the builtin "default.css". html_static_path = ['_static']jmschrei-apricot-bf86e69/docs/features/000077500000000000000000000000001414554015600201635ustar00rootroot00000000000000jmschrei-apricot-bf86e69/docs/features/knapsack.rst000066400000000000000000000034451414554015600225160ustar00rootroot00000000000000.. _features.knapsack: Knapsack Constraints ==================== A knapsack constraint is an alternate to a cardinality constraint (the default in apricot) where each element has a cost and the selected items cannot exceed a total budget. The name (according to `Krause (2012) `_) is a reference to the knapsack problem where one maximizes a modular function subject to a modular cost. In apricot, one is maximizing a *submodular* function subject to a modular cost. There are several ideas that costs might represent but the most intuitive is the simple monetary cost associated with each element. Consider the task of placing sensors around an area given a fixed budget to purchase sensors, where smaller sensors are cheaper than larger sensors. Submodular optimization subject to knapsack constraints is an intuitive way to determine what type of sensor should be placed and where without exceeding a given budget. Stated more formally, the optimization problem given knapsack constraints is .. math:: \max\limits_{S} f(S) \enspace s.t. \sum\limits_{v \in S} c(v) \leq B for a cost function :math:`c`, a submodular function :math:`f`, a subset :math:`S`, and a budget :math:`B`. Further, rather than optimizing the gain directly, the gain is divided by the cost of the element, resulting in the "cost-benefit" gain. Essentially, elements with a high gain and a high cost are prioritized lower than those with the same gain but a lower cost. This means that the optimization process is just a .. code-block:: python from apricot import FeatureBasedSelection X = numpy.random.randint(2, size=(10000, 100), p=[0.99, 0.01]) sample_cost = numpy.abs(numpy.random.randn(10000)) selector = FeatureBasedSelection(100, 'sqrt') selector.fit(X, sample_cost=sample_cost) jmschrei-apricot-bf86e69/docs/features/sparse.rst000066400000000000000000000027121414554015600222140ustar00rootroot00000000000000.. _features.sparse: Sparse Matrices =============== apricot has built-in support for sparse matrices. This support makes it possible to summarize massive data sets whose dense representations are not feasible to work with, e.g. sparse similarity graphs when using graph-based functions or word counts for text data and feature-based functions. Using a sparse matrix will always (except when ties exist) give the same result that using a dense matrix populated with 0s would, but operating on sparse matrices can be significantly faster process. Here is an example of using a feature-based function on a very sparse feature matrix. Note that each row can be thought of as an example with binary feature values. .. code-block:: python from apricot import FeatureBasedSelection from scipy.sparse import csr_matrix X = numpy.random.randint(2, size=(10000, 100), p=[0.99, 0.01]) X_sparse = csr_matrix(X) selector = FeatureBasedSelection(100, 'sqrt') selector.fit(X_sparse) Here is an example of using a graph-based function on a very sparse similarity matrix. Note that X is a pre-computed similarity matrix and must be specified as such to the function. .. code-block:: python from apricot import FacilityLocationSelection from scipy.sparse import csr_matrix X = numpy.random.randint(10, size=(1000, 1000), p=[0.99, 0.01]) X = numpy.abs((X + X.T) / 2) X_sparse = csr_matrix(X) selector = FacilityLocationSelection(100, 'precomputed') selector.fit(X_sparse) jmschrei-apricot-bf86e69/docs/features/streaming.rst000066400000000000000000000037031414554015600227110ustar00rootroot00000000000000.. _features.streaming: Streaming Optimization ====================== Streaming optimization involves optimizing a submodular function on a stream of data. The key assumptions of these methods are that the data cannot all fit in memory at one time and, more restrictively, that each example can only be seen once: after seeing each example, the algorithm must decide whether to keep it or not before moving on to the next example. Although this problem is difficult, principled approaches for solving it have been proposed that have theoretical guarantees. One such example, `sieve streaming `_, involves making many estimates of what the objective score of the optimal subset would be, and selecting elements based on these elements in parallel. When estimates are found to be too low, the corresponding subsets are discarded, and when certain estimates that were initially too high are found to be plausible, the corresponding subset begins to be populated. In apricot, streaming optimization can be used with any of the built-in functions by using the `partial_fit` method instead of the `fit` method. Although the algorithm is designed to be applied to one example at a time in a streaming setting, in practice applying the algorithm to batches of data can be much faster while still providing the same answer. .. note:: Streaming optimization is implemented for mixtures of functions, but not for sum redundancy or saturated coverage functions. You can read more about streaming optimization `in this tutorial `_. .. code-block:: python from apricot import FeatureBasedSelection X = numpy.random.randint(2, size=(10000, 100), p=[0.99, 0.01]) sample_cost = numpy.exp(numpy.random.randn(10000)) selector = FeatureBasedSelection(100, 'sqrt') selector.partial_fit(X, sample_cost=sample_cost) jmschrei-apricot-bf86e69/docs/functions/000077500000000000000000000000001414554015600203555ustar00rootroot00000000000000jmschrei-apricot-bf86e69/docs/functions/facilityLocation.rst000066400000000000000000000002321414554015600244010ustar00rootroot00000000000000.. _functions.facility-location: Facility Location ================= .. automodule:: apricot.functions.facilityLocation :members: :inherited-members: jmschrei-apricot-bf86e69/docs/functions/featureBased.rst000066400000000000000000000002361414554015600235020ustar00rootroot00000000000000.. _functions.feature-based: Feature-based Functions ======================= .. automodule:: apricot.functions.featureBased :members: :inherited-members: jmschrei-apricot-bf86e69/docs/functions/graphCut.rst000066400000000000000000000001721414554015600226640ustar00rootroot00000000000000.. _functions.graph-cut: Graph Cut ========= .. automodule:: apricot.functions.graphCut :members: :inherited-members: jmschrei-apricot-bf86e69/docs/functions/maxCoverage.rst000066400000000000000000000002541414554015600233510ustar00rootroot00000000000000.. _functions.max-coverage: Maximum Coverage ================ A maximum coverage function. .. automodule:: apricot.functions.maxCoverage :members: :inherited-members: jmschrei-apricot-bf86e69/docs/functions/mixture.rst000066400000000000000000000001661414554015600226070ustar00rootroot00000000000000.. _functions.mixtures: Mixtures ======== .. automodule:: apricot.functions.mixture :members: :inherited-members: jmschrei-apricot-bf86e69/docs/functions/saturatedCoverage.rst000066400000000000000000000002361414554015600245600ustar00rootroot00000000000000.. _functions.saturated-coverage: Saturated Coverage ================== .. automodule:: apricot.functions.saturatedCoverage :members: :inherited-members: jmschrei-apricot-bf86e69/docs/functions/sumRedundancy.rst000066400000000000000000000002151414554015600237260ustar00rootroot00000000000000.. _functions.sum-redundancy: Sum Redundancy ============== .. automodule:: apricot.functions.sumRedundancy :members: :inherited-members:jmschrei-apricot-bf86e69/docs/imgs/000077500000000000000000000000001414554015600173045ustar00rootroot00000000000000jmschrei-apricot-bf86e69/docs/imgs/embeddings.png000077500000000000000000005253031414554015600221260ustar00rootroot00000000000000‰PNG  IHDR6.a?ë¶iTXtXML:com.adobe.xmp >ùðv‚iCCPsRGB IEC61966-2.1(‘u‘»KA‡¿$Š¯ˆ‚‡¨U´±Hðj‘D0js9s‰ÄãîD‚­`Pm|úh+X ‚¢bea­h£rÎ!"f–Ùùö·;Ãî,xc-kUô@6g›‘Ñ2ŸUªñÒL5TÍ2&£#1ÊÚÛ 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image:: logos/apricot-logo.png :width: 500px | .. image:: https://travis-ci.org/jmschrei/apricot.svg?branch=master :target: https://travis-ci.org/jmschrei/aprico .. image:: https://readthedocs.org/projects/apricot-select/badge/?version=latest :target: http://apricot-select.readthedocs.io/en/latest/?badge=latest | apricot is a package for submodular optimization brought to you in a convenient sklearn-like format. The package focuses on (1) being flexible enough for allow users to easily define their own functions and optimizers just as you can in neural network libraries, and (2) being fast by using numba to speed up the computationally intensive aspects. The primary purpose of apricot is to summarize massive data sets into useful subsets. A simple way to use these subsets is to visualize the modalities of data. When apricot is used to summarize the MNIST and Fashion-MNIST data sets into ten elements, those selected represent the space well and cover almost all the classes without even having access to the labels. .. image:: imgs/embeddings.png :width: 1000px These subsets can also be useful when training machine learning models. It might seem counterintuitive at first to train a model using only a fraction of your data. Unfortunately, the compute required to train models on huge data sets might not be available to everyone. Instead of relying on random subsampling, one could instead select a subset using submodular optimization. Using the same data sets as before, we can see that training a logistic regression model using the subsets selected by apricot results in a model with higher accuracy than randomly selected subsets. .. image:: imgs/fl-ml.png :width: 1000px | At a high level, submodular functions operate on sets of elements and optimizing them involves selecting a subset of elements. The functions implemented in apricot return a value that is inversely related to the redundancy of the selected elements, meaning that maximizing them involves selecting a set of non-redundant elements. A key property of these functions is that they are *submodular*, meaning that the gain in the function value that a particular element would yield either decreases or stays the same each time an element is added to the subset (this is also known as the diminishing returns property). You can install apricot with :code:`pip install apricot-select`. .. toctree:: :maxdepth: 1 :hidden: :caption: apricot Introduction submodular.rst .. toctree:: :maxdepth: 1 :hidden: :caption: Features features/sparse.rst features/knapsack.rst features/streaming.rst .. toctree:: :maxdepth: 1 :hidden: :caption: Functions functions/featureBased.rst functions/maxCoverage.rst functions/facilityLocation.rst functions/graphCut.rst functions/sumRedundancy.rst functions/saturatedCoverage.rst functions/mixture.rst .. toctree:: :maxdepth: 1 :hidden: :caption: Optimizers optimizers/naive.rst optimizers/lazy.rst optimizers/two-stage.rst optimizers/approx-lazy.rst optimizers/stochastic.rst optimizers/sample.rst optimizers/greedi.rst optimizers/modular.rst optimizers/bidirectional.rst 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ˆõ« ³3çR±„†oZ¿6$X6z1Äflâææ¶zåò933‚xfaÄf`’ ÑhÛ[Z[é­ÖÅÅEž?-5E‘Ïf³I…Ø LrkV¬YYÐÝÓÓØØT¯V74¨ëÔõjuGG'ÕªÜx¼€I@@Dx˜R‘Èáp¨Ö@X,ªÇÀ8¡moïéé%YØÏ×Ç®˜pz{{»ŒƒLF£©Ëd4M]F£Éd2™LÎÎ.\.‡Ãas8.‡#àóü|>™ËFØ €ã0ǺSb3ŽƒØ €ãü?ø]?Slg;IEND®B`‚jmschrei-apricot-bf86e69/docs/make.bat000066400000000000000000000014331414554015600177530ustar00rootroot00000000000000@ECHO OFF pushd %~dp0 REM Command file for Sphinx documentation if "%SPHINXBUILD%" == "" ( set SPHINXBUILD=sphinx-build ) set SOURCEDIR=. set BUILDDIR=_build if "%1" == "" goto help %SPHINXBUILD% >NUL 2>NUL if errorlevel 9009 ( echo. echo.The 'sphinx-build' command was not found. Make sure you have Sphinx echo.installed, then set the SPHINXBUILD environment variable to point echo.to the full path of the 'sphinx-build' executable. Alternatively you echo.may add the Sphinx directory to PATH. echo. echo.If you don't have Sphinx installed, grab it from echo.http://sphinx-doc.org/ exit /b 1 ) %SPHINXBUILD% -M %1 %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O% goto end :help %SPHINXBUILD% -M help %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O% :end popd jmschrei-apricot-bf86e69/docs/optimizers/000077500000000000000000000000001414554015600205525ustar00rootroot00000000000000jmschrei-apricot-bf86e69/docs/optimizers/approx-lazy.rst000066400000000000000000000002501414554015600235670ustar00rootroot00000000000000.. _optimizers.approx-lazy: Approximate Lazy Greedy ======================= .. automodule:: apricot.optimizers.ApproximateLazyGreedy :members: :inherited-members: jmschrei-apricot-bf86e69/docs/optimizers/bidirectional.rst000066400000000000000000000002421414554015600241120ustar00rootroot00000000000000.. _optimizers.bidirectional: Bidirectional Greedy ==================== .. automodule:: apricot.optimizers.BidirectionalGreedy :members: :inherited-members: jmschrei-apricot-bf86e69/docs/optimizers/greedi.rst000066400000000000000000000001621414554015600225420ustar00rootroot00000000000000.. _optimizers.greedi: GreeDi ====== .. automodule:: apricot.optimizers.GreeDi :members: :inherited-members: jmschrei-apricot-bf86e69/docs/optimizers/lazy.rst000066400000000000000000000001761414554015600222670ustar00rootroot00000000000000.. _optimizers.lazy: Lazy Greedy =========== .. automodule:: apricot.optimizers.LazyGreedy :members: :inherited-members: jmschrei-apricot-bf86e69/docs/optimizers/modular.rst000066400000000000000000000002121414554015600227420ustar00rootroot00000000000000.. _optimizers.modular: Modular Greedy ============== .. automodule:: apricot.optimizers.ModularGreedy :members: :inherited-members: jmschrei-apricot-bf86e69/docs/optimizers/naive.rst000066400000000000000000000002021414554015600224000ustar00rootroot00000000000000.. _optimizers.naive: Naive Greedy ============ .. automodule:: apricot.optimizers.NaiveGreedy :members: :inherited-members: jmschrei-apricot-bf86e69/docs/optimizers/sample.rst000066400000000000000000000002061414554015600225630ustar00rootroot00000000000000.. _optimizers.sample: Sample Greedy ============= .. automodule:: apricot.optimizers.SampleGreedy :members: :inherited-members: jmschrei-apricot-bf86e69/docs/optimizers/stochastic.rst000066400000000000000000000002261414554015600234500ustar00rootroot00000000000000.. _optimizers.stochastic: Stochastic Greedy ================= .. automodule:: apricot.optimizers.StochasticGreedy :members: :inherited-members: jmschrei-apricot-bf86e69/docs/optimizers/two-stage.rst000066400000000000000000000002211414554015600232110ustar00rootroot00000000000000.. _optimizers.two-stage: Two-Stage Greedy ================ .. automodule:: apricot.optimizers.TwoStageGreedy :members: :inherited-members: jmschrei-apricot-bf86e69/docs/submodular.rst000066400000000000000000000053531414554015600212620ustar00rootroot00000000000000.. _submodular-opt: Submodular Optimization ======================= The field of submodular optimization involves functions of the form :math:`f : 2^{V} \rightarrow \mathcal{R}`. These functions take in a set of elements and output a real value that measures the quality of that set. Set functions are *submodular* when the returned value has the diminishing returns property such that for each :math:`X \subseteq Y` .. math:: f(X + {v}) - f(X) \geq f(Y + {v}) - f(Y) The diminishing returns property means that the gain of adding in a particular element :math:`v` decreases or stays the same each time another element is added to the subset. .. note:: Set functions are called *modular* when the returned value ignores the size of the subset and *supermodular* when the returned value increases with subset size. An intuitive example of the diminishing returns property arises in the context of text data. In this situation, each example would be a blob of text, e.g. a sentence, and the set function being employed calculates the number of unique words across all selected sentences. Consider a particular example :math:`v`, an already selected set of examples :math:`X`, and a calculated gain :math:`g_{v}` of adding :math:`v` to :math:`X`. If some other example, :math:`u` is added to :math:`X` instead of :math:`v`, the gain of adding :math:`v` (or any other example) to :math:`X \cup u` must be smaller or equal to the gain of adding :math:`v` to :math:`X`: either :math:`u` has new words that would also be new from :math:`v`, in which case the benefit of adding in :math:`v` would decrease, or it doesn't, in which case the gain would stay the same. Here is an example of optimizing a maximum coverage function on text data, as described. .. code-block:: python from apricot import MaxCoverageSelection from keras.datasets import reuters (X_, _), (_, _) = reuters.load_data(num_words=5000) X = numpy.zeros((X_.shape[0], max(map(max, X_))+1)) for i, x in enumerate(X_): X[i][x] = 1 model = MaxCoverageSelection(250, optimizer='naive') model.fit(X) It is NP-hard to optimize submodular functions exactly and so a greedy algorithm is usually employed. This algorithm works by selecting examples one at a time based on the gain they would yield if added. In practice, the greedy algorithm finds solutions that are very close to the optimal solution, and `Nemhauser (1978) `_ showed that the quality of the subset cannot be worse than :math:`1 - e^{-1}` of the optimal value when selected using a greedy algorithm. 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þœÕJd«w:{»€?Lœ"!AÀ!AÀ!AÀ!AÀ!AÀ!AÀ!AÀ!AÀ!AÀ!AÀ!AÀ!AÀ!AÀ!AÀ!AÀ!AÀ!AÀ!AÀ!AÀ!AÀ!ùª7ÔŒ–eÌIEND®B`‚jmschrei-apricot-bf86e69/img/facilityLocationGIF.py000066400000000000000000000027321414554015600223720ustar00rootroot00000000000000import matplotlib matplotlib.use('Agg') import matplotlib.pyplot as plt from matplotlib.animation import FuncAnimation import numpy numpy.random.seed(0) import seaborn; seaborn.set_style('whitegrid') from apricot import FacilityLocationSelection numpy.random.seed(0) X = numpy.concatenate([numpy.random.normal((1, 1), 0.5, size=(15, 2)), numpy.random.normal((6, 3), 0.5, size=(25, 2)), numpy.random.normal((5, 7), 0.5, size=(40, 2)), numpy.random.normal((1, 7), 0.5, size=(30, 2)), numpy.random.normal((10, 4), 0.5, size=(15, 2)), numpy.random.normal((3, 4), 0.5, size=(15, 2))]) Xi = FacilityLocationSelection(6, 'euclidean').fit_transform(X) Xr = numpy.random.choice(numpy.arange(X.shape[0]), size=6) Xr = X[Xr] fig = plt.figure(figsize=(8, 6)) ax = plt.subplot(111) ax.scatter(X[:,0], X[:,1], s=10) ax.legend(fontsize=14) ax.set_xlim(-1, 14) #ax.set_ylim(0, 7) ax.axis('off') plt.grid(False) seaborn.despine(ax=ax) fig.set_tight_layout(True) def update(i): ax.clear() ax.scatter(X[:,0], X[:,1], s=10) ax.scatter(Xi[:i,0], Xi[:i,1], color="#FF6600", label="Submodular Selection") ax.scatter(Xr[:i,0], Xr[:i,1], color="#8A2BE2", label="Random Selection", alpha=0.6) ax.legend(fontsize=14) ax.set_xlim(-1, 14) ax.axis('off') plt.grid(False) return ax anim = FuncAnimation(fig, update, frames=range(7), interval=1000) anim.save('fl.gif', dpi=80, writer='imagemagick')jmschrei-apricot-bf86e69/img/fl-ml.png000077500000000000000000001310621414554015600177140ustar00rootroot00000000000000‰PNG  IHDR!þ¢ ÃiTXtXML:com.adobe.xmp J«êiCCPsRGB IEC61966-2.1(‘u‘¿KBQÇ?ÙOÊ0(¢ÁA¢š4Ì@ji0úÕ`Y-úü¨=ÞSBZƒV¡ jé×PA­AsEM ÍE-%¯óTP"ïåÞó¹ß{ÎáÜsÁH*)½Á ©tFóOùKÁeGó+ìtËl )º:·0 æøz Î´w.3Wm¿G[$ª+P×"<¦¨ZFxZxv#£š¼+Ü¥$Bása§& ß›z¸Äo&ÇKüc²ðƒ¥Cدâp+ 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jmschrei-apricot-bf86e69/tests/000077500000000000000000000000001414554015600165575ustar00rootroot00000000000000jmschrei-apricot-bf86e69/tests/__init__.py000066400000000000000000000000001414554015600206560ustar00rootroot00000000000000jmschrei-apricot-bf86e69/tests/test_functions/000077500000000000000000000000001414554015600216265ustar00rootroot00000000000000jmschrei-apricot-bf86e69/tests/test_functions/__init__.py000066400000000000000000000000001414554015600237250ustar00rootroot00000000000000jmschrei-apricot-bf86e69/tests/test_functions/test_facility_location.py000066400000000000000000001014441414554015600267370ustar00rootroot00000000000000import scipy import numpy try: import cupy except: import numpy as cupy from apricot import FacilityLocationSelection from apricot.optimizers import * from sklearn.datasets import load_digits from sklearn.metrics import pairwise_distances from numpy.testing import assert_almost_equal from numpy.testing import assert_array_equal from numpy.testing import assert_array_almost_equal digits_data = load_digits() X_digits = digits_data.data X_digits_cosine_sparse = scipy.sparse.csr_matrix((1 - pairwise_distances( X_digits, metric='cosine')) ** 2) X_digits_corr_cupy = cupy.array((1 - pairwise_distances( X_digits, metric='correlation')) ** 2) X_digits_cosine_cupy = cupy.array((1 - pairwise_distances( X_digits, metric='cosine')) ** 2) digits_corr_ranking = [424, 1647, 396, 339, 1030, 331, 983, 1075, 1482, 1539, 1282, 493, 885, 823, 1051, 236, 537, 1161, 345, 1788, 1432, 1634, 1718, 1676, 146, 1286, 655, 1292, 556, 533, 1545, 520, 1711, 1428, 620, 1276, 305, 438, 1026, 183, 2, 384, 1012, 798, 213, 1291, 162, 1206, 227, 1655, 233, 1508, 410, 1295, 1312, 1350, 514, 938, 579, 1066, 82, 164, 948, 1588, 1294, 1682, 943, 517, 959, 1429, 762, 898, 1556, 881, 1470, 1549, 1325, 1568, 937, 347, 1364, 126, 732, 1168, 241, 573, 731, 815, 864, 1639, 1570, 411, 1086, 696, 870, 1156, 353, 160, 1381, 326] digits_corr_gains = [736.794, 114.2782, 65.4154, 61.3037, 54.5428, 38.7506, 34.097, 32.6649, 30.2813, 27.8395, 24.1843, 17.568, 16.6615, 15.2973, 13.2629, 9.7685, 9.5183, 7.9484, 7.8094, 7.0224, 6.623, 6.061, 6.0469, 5.323, 5.167, 5.0563, 4.8848, 4.7694, 4.4766, 4.4577, 4.3198, 3.9347, 3.5501, 3.3284, 3.0123, 2.9994, 2.9739, 2.8233, 2.7572, 2.558, 2.5281, 2.4412, 2.4328, 2.3452, 2.2498, 2.2457, 2.2127, 2.1542, 2.1416, 2.0876, 2.0715, 2.0482, 2.0053, 1.9996, 1.9912, 1.973, 1.8029, 1.7865, 1.7284, 1.7255, 1.7201, 1.7169, 1.6614, 1.6445, 1.6147, 1.5874, 1.5827, 1.5822, 1.5784, 1.5164, 1.4876, 1.4319, 1.4288, 1.3736, 1.3485, 1.3039, 1.2872, 1.2771, 1.2587, 1.2391, 1.2279, 1.2006, 1.1654, 1.1491, 1.1445, 1.137, 1.1122, 1.0785, 1.0771, 1.0402, 1.0321, 1.0192, 1.0158, 0.9734, 0.9627, 0.9612, 0.9401, 0.9291, 0.912, 0.8924] digits_euclidean_ranking = [945, 392, 1507, 793, 1417, 1039, 97, 1107, 1075, 867, 360, 186, 1584, 1422, 885, 1084, 1327, 1696, 991, 146, 181, 765, 175, 1513, 1120, 877, 1201, 1764, 1711, 1447, 1536, 1286, 438, 612, 6, 514, 410, 1545, 384, 1053, 1485, 983, 310, 51, 654, 1312, 708, 157, 259, 1168, 117, 1634, 1537, 1188, 1364, 1713, 579, 582, 69, 200, 1678, 798, 183, 520, 1011, 1295, 1291, 938, 1276, 501, 696, 948, 925, 558, 269, 1066, 573, 762, 1294, 1588, 732, 1387, 1568, 1026, 1156, 79, 1222, 1414, 864, 1549, 1236, 213, 411, 151, 233, 924, 126, 345, 1421, 1562] digits_euclidean_gains = [7448636.0, 384346.0, 250615.0, 224118.0, 166266.0, 127456.0, 122986.0, 109483.0, 93463.0, 67173.0, 55997.0, 54721.0, 51497.0, 47765.0, 45073.0, 33857.0, 30100.0, 25043.0, 22260.0, 19700.0, 19135.0, 17545.0, 17000.0, 15462.0, 15315.0, 14996.0, 14819.0, 13244.0, 12529.0, 12474.0, 11702.0, 11639.0, 11612.0, 11266.0, 11187.0, 9722.0, 9244.0, 8645.0, 8645.0, 8461.0, 8404.0, 8115.0, 7998.0, 7351.0, 7153.0, 6992.0, 6956.0, 6919.0, 6711.0, 6684.0, 6526.0, 6348.0, 6099.0, 5969.0, 5460.0, 5433.0, 5163.0, 5141.0, 5090.0, 4900.0, 4842.0, 4683.0, 4165.0, 4104.0, 4099.0, 4099.0, 3998.0, 3959.0, 3912.0, 3807.0, 3703.0, 3675.0, 3670.0, 3636.0, 3564.0, 3407.0, 3395.0, 3196.0, 3188.0, 3168.0, 3156.0, 3144.0, 3093.0, 3078.0, 3059.0, 2997.0, 2944.0, 2891.0, 2886.0, 2865.0, 2804.0, 2779.0, 2756.0, 2748.0, 2709.0, 2696.0, 2651.0, 2637.0, 2619.0, 2602.0] digits_cosine_ranking = [424, 615, 1545, 1385, 1482, 112, 1539, 1075, 331, 493, 885, 345, 1282, 823, 1432, 1051, 537, 1788, 1549, 1622, 834, 1634, 1718, 1474, 1185, 655, 1292, 396, 1711, 1676, 2, 183, 1536, 983, 438, 1276, 305, 1353, 620, 384, 1026, 162, 1012, 798, 213, 227, 1291, 533, 1655, 1485, 410, 1206, 157, 1387, 556, 29, 1588, 1320, 1295, 164, 514, 938, 948, 517, 579, 1325, 1682, 1222, 82, 959, 943, 520, 762, 1066, 898, 1227, 1568, 1086, 881, 1678, 1470, 1364, 732, 937, 1168, 347, 241, 573, 1156, 1570, 908, 1584, 126, 1639, 815, 411, 151, 846, 696, 233] digits_cosine_gains = [1126.631, 76.1809, 43.868, 35.4606, 33.088, 32.6405, 27.5345, 23.2181, 20.0442, 15.384, 10.8113, 9.5884, 8.3655, 7.7554, 7.6675, 7.3457, 5.2902, 5.0039, 4.6488, 4.2388, 4.2165, 4.1855, 3.7814, 3.4738, 3.1826, 3.1456, 3.1258, 3.0707, 2.9035, 2.8744, 2.788, 2.4376, 2.3306, 1.9438, 1.8711, 1.8376, 1.7047, 1.6453, 1.5747, 1.5644, 1.5371, 1.4879, 1.4603, 1.4256, 1.4233, 1.4098, 1.3889, 1.3861, 1.3012, 1.2986, 1.278, 1.2779, 1.2775, 1.2059, 1.1914, 1.1437, 1.1221, 1.1031, 1.0829, 1.0708, 1.0427, 1.0116, 1.0099, 0.9978, 0.9943, 0.98, 0.9717, 0.945, 0.927, 0.9064, 0.8899, 0.8746, 0.8651, 0.8649, 0.859, 0.8526, 0.84, 0.8284, 0.8269, 0.8067, 0.8066, 0.7645, 0.7517, 0.7409, 0.7396, 0.7383, 0.7237, 0.7209, 0.7043, 0.7021, 0.6945, 0.6806, 0.6585, 0.6539, 0.6198, 0.6161, 0.6078, 0.5963, 0.5945, 0.5899] digits_cosine_greedi_ranking = [424, 1030, 468, 1111, 1385, 41, 201, 81, 396, 186, 537, 938, 1009, 655, 1071, 1736, 345, 1482, 331, 1788, 1536, 543, 1104, 1120, 1535, 1201, 1053, 236, 1282, 339, 1718, 148, 115, 1046, 1203, 530, 1185, 494, 155, 621, 1542, 280, 732, 561, 900, 1276, 191, 554, 1051, 275, 1134, 1223, 504, 410, 1624, 982, 1364, 241, 692, 1047, 1428, 312, 1709, 160, 816, 768, 402, 131, 1265, 1483, 635, 1554, 1614, 923, 552, 188, 1410, 493, 32, 264, 1532, 1478, 1244, 675, 976, 235, 262, 132, 809, 668, 1555, 1332, 924, 138, 1295, 1533, 165, 822, 1184, 463] digits_cosine_greedi_gains = [1126.631, 73.1793, 46.4627, 29.5523, 34.0967, 22.7932, 21.2345, 19.1614, 37.8457, 10.9945, 6.7468, 10.4479, 8.1564, 3.4669, 9.0943, 6.8193, 9.0551, 7.4868, 7.4788, 4.6044, 5.3755, 2.0625, 3.1779, 4.5603, 3.5798, 2.3906, 1.7633, 3.2745, 3.2062, 2.0717, 2.8894, 2.3138, 1.7417, 1.4141, 1.6926, 1.0587, 2.5893, 1.7456, 1.0624, 1.278, 1.4662, 0.8194, 0.7861, 1.0377, 1.0657, 1.2889, 0.5415, 1.1421, 1.082, 1.0706, 2.0516, 1.4782, 0.4165, 2.6358, 1.2067, 0.9377, 0.7095, 0.9775, 1.3211, 0.758, 1.699, 0.8115, 0.6292, 1.8336, 0.54, 0.6586, 0.4637, 0.813, 0.3427, 0.2793, 0.8045, 0.1796, 0.9699, 0.7823, 1.132, 0.8785, 0.5449, 1.0747, 1.3588, 0.3345, 0.3211, 0.6306, 0.4073, 0.139, 0.668, 0.2053, 0.3902, 0.8324, 0.1153, 0.5048, 1.1628, 0.4711, 0.8476, 0.8886, 0.6292, 0.6492, 0.6842, 0.639, 0.2356, 0.2605] digits_cosine_approx_ranking = [424, 615, 1545, 1385, 983, 1482, 1539, 1075, 331, 493, 885, 345, 823, 1282, 1051, 236, 537, 1788, 1161, 655, 195, 1634, 438, 1718, 1474, 1676, 1292, 533, 396, 1185, 183, 1711, 2, 640, 1353, 1276, 305, 384, 1442, 1026, 1012, 213, 162, 197, 798, 227, 1291, 410, 1485, 1655, 1206, 29, 1588, 556, 1682, 1536, 1325, 1295, 517, 514, 579, 1461, 1320, 1294, 948, 567, 1222, 898, 943, 762, 550, 1556, 1066, 1350, 1568, 881, 689, 1678, 1470, 347, 82, 1364, 1168, 1549, 1156, 959, 241, 126, 1628, 149, 652, 411, 1639, 937, 216, 1250, 1257, 815, 151, 846] digits_cosine_approx_gains = [1126.631, 76.1809, 43.868, 35.4606, 32.6168, 33.0709, 28.6118, 23.568, 20.2298, 15.2965, 10.8862, 9.3698, 8.3121, 8.3655, 7.3398, 6.4778, 5.2902, 5.0039, 4.7001, 4.4474, 4.1603, 4.1855, 3.8457, 3.7814, 3.4738, 3.0503, 2.9736, 2.8744, 3.0707, 2.8541, 2.7273, 2.6049, 2.4984, 2.3956, 2.138, 1.8376, 1.7047, 1.5309, 1.4743, 1.5371, 1.5433, 1.4296, 1.5101, 1.4607, 1.4256, 1.4098, 1.3889, 1.281, 1.2986, 1.3012, 1.2779, 1.1437, 1.1221, 1.1914, 1.0978, 1.0958, 1.0816, 0.987, 0.9978, 1.0427, 0.9943, 0.9759, 1.0199, 1.0072, 0.9435, 0.8643, 0.9121, 0.859, 0.8899, 0.8651, 0.8293, 0.8497, 0.8649, 0.7972, 0.7962, 0.7702, 0.7473, 0.7945, 0.8066, 0.7383, 0.7807, 0.7645, 0.734, 0.7296, 0.7043, 0.728, 0.7237, 0.6585, 0.6398, 0.6063, 0.6387, 0.6161, 0.6539, 0.6395, 0.5825, 0.5886, 0.6205, 0.6031, 0.6078, 0.5963] digits_cosine_stochastic_ranking = [1081, 1014, 1386, 770, 567, 137, 723, 1491, 1274, 1492, 1728, 1456, 186, 1448, 386, 148, 891, 1759, 1424, 587, 191, 629, 1507, 1084, 1473, 946, 518, 638, 1739, 502, 1537, 1227, 689, 88, 238, 1667, 1785, 1067, 1461, 1222, 1099, 607, 364, 1572, 1195, 217, 1034, 208, 84, 1128, 425, 345, 626, 843, 1070, 83, 1449, 1071, 1644, 1392, 1415, 449, 802, 1348, 1553, 175, 1455, 1770, 1395, 1032, 879, 1220, 1137, 129, 754, 1695, 1459, 782, 549, 1069, 260, 834, 517, 919, 1622, 700, 424, 1685, 245, 1339, 1152, 1212, 1425, 937, 1665, 291, 1535, 701, 1508, 1219] digits_cosine_stochastic_gains = [889.4143, 20.4744, 103.4191, 46.2267, 4.3305, 18.5211, 54.3538, 35.5077, 6.551, 5.7077, 5.6756, 37.63, 17.5565, 34.278, 42.5224, 35.5992, 1.2107, 19.8488, 3.8072, 3.4409, 2.7019, 1.3549, 1.5089, 1.0551, 14.8608, 2.5029, 0.4053, 1.4568, 4.6182, 1.0255, 2.0205, 3.7699, 2.0694, 12.8589, 2.3583, 3.3821, 3.8403, 1.1118, 1.6831, 4.3867, 1.2917, 1.8872, 0.5247, 1.1549, 1.0258, 6.2302, 10.167, 3.4695, 4.1669, 1.0842, 2.3784, 11.029, 1.6765, 0.7525, 0.7335, 0.454, 2.307, 4.0194, 0.7664, 0.3671, 0.9314, 3.1446, 1.2759, 2.6267, 0.4132, 0.6536, 0.5142, 0.4766, 0.7555, 1.1265, 0.1483, 0.5388, 0.6339, 0.4821, 3.1597, 0.6725, 2.7096, 0.2288, 0.335, 0.8554, 2.0427, 0.6971, 4.5681, 2.0573, 0.6791, 0.703, 1.0025, 0.3316, 2.9545, 1.2529, 0.736, 0.7703, 0.2727, 0.7296, 1.1756, 0.2375, 1.4499, 0.0924, 1.4348, 0.2389] digits_cosine_sample_ranking = [424, 615, 1545, 1385, 1482, 112, 1539, 1075, 331, 493, 885, 345, 1282, 823, 1432, 1051, 537, 1788, 1549, 1622, 834, 1634, 1718, 1474, 1185, 655, 1292, 396, 1711, 1676, 2, 183, 1536, 983, 1276, 305, 384, 403, 1353, 620, 1026, 162, 1012, 798, 213, 227, 1291, 533, 1655, 1485, 410, 1206, 157, 1387, 556, 29, 1588, 1682, 1295, 164, 514, 948, 579, 972, 1325, 1461, 1312, 1222, 82, 959, 943, 520, 762, 1066, 898, 1227, 1568, 1086, 881, 1678, 1470, 1364, 732, 1156, 241, 573, 1570, 908, 1504, 1584, 126, 1639, 1158, 937, 815, 411, 151, 149, 846, 696] digits_cosine_sample_gains = [1126.631, 76.1809, 43.868, 35.4606, 33.088, 32.6405, 27.5345, 23.2181, 20.0442, 15.384, 10.8113, 9.5884, 8.3655, 7.7554, 7.6675, 7.3457, 5.2902, 5.0039, 4.6488, 4.2388, 4.2165, 4.1855, 3.7814, 3.4738, 3.1826, 3.1456, 3.1258, 3.0707, 2.9035, 2.8744, 2.788, 2.4376, 2.3306, 1.9438, 1.8376, 1.7047, 1.6997, 1.6733, 1.6453, 1.5747, 1.5371, 1.4879, 1.4603, 1.4256, 1.4233, 1.4098, 1.3889, 1.3861, 1.3246, 1.2986, 1.278, 1.2779, 1.2775, 1.2059, 1.1914, 1.1437, 1.1221, 1.0978, 1.0829, 1.0708, 1.0427, 1.0099, 0.9943, 0.981, 0.98, 0.9759, 0.9456, 0.945, 0.927, 0.9064, 0.8899, 0.8746, 0.8651, 0.8649, 0.859, 0.8526, 0.84, 0.8284, 0.8269, 0.8067, 0.8066, 0.7645, 0.7517, 0.7295, 0.7237, 0.7209, 0.7021, 0.6945, 0.6898, 0.6806, 0.6585, 0.6576, 0.6469, 0.6395, 0.6198, 0.6111, 0.6078, 0.5964, 0.5963, 0.5945] digits_cosine_modular_ranking = [424, 148, 615, 1747, 1030, 1766, 818, 1363, 768, 509, 1774, 138, 1295, 402, 255, 1069, 1709, 852, 248, 1327, 168, 459, 890, 513, 899, 945, 452, 183, 423, 923, 1658, 1325, 491, 898, 742, 478, 352, 514, 823, 1040, 978, 903, 426, 1071, 1796, 269, 1794, 332, 1781, 657, 913, 814, 1340, 417, 254, 505, 1668, 1320, 1423, 684, 1433, 309, 114, 649, 420, 1455, 1453, 1647, 508, 224, 1632, 1705, 1763, 296, 301, 1737, 515, 836, 370, 1026, 997, 500, 1199, 736, 686, 1596, 76, 1757, 816, 693, 448, 339, 547, 721, 1726, 1678, 854, 405, 249, 1323] digits_cosine_modular_gains = [1126.631, 44.738, 40.5236, 21.8344, 14.9058, 2.0543, 0.301, 1.4012, 6.271, 5.6542, 0.6256, 2.3966, 2.8463, 16.5448, 0.4742, 1.412, 0.4318, 3.4858, 0.7938, 0.5358, 0.3774, 14.1052, 7.2849, 1.9459, 3.8649, 1.2624, 9.6255, 1.0289, 4.0384, 2.9969, 5.4019, 1.0495, 1.2719, 1.6337, 0.3053, 3.4975, 0.7808, 5.4622, 2.994, 0.5453, 0.2372, 0.3399, 0.1372, 0.7602, 0.4801, 6.4833, 0.1203, 0.2693, 0.5488, 1.5296, 0.1185, 0.3899, 0.6843, 0.2927, 0.5842, 2.3053, 0.3581, 6.3265, 0.3343, 0.3976, 0.1859, 0.1083, 0.4559, 1.2732, 0.4012, 0.2193, 0.0957, 2.9362, 0.1251, 0.7071, 1.123, 0.1063, 0.1448, 0.1763, 2.1166, 0.467, 0.1193, 1.0707, 0.0863, 0.133, 0.0905, 0.1449, 2.0452, 2.1527, 0.061, 0.2085, 0.29, 0.7726, 0.1614, 1.1461, 0.649, 0.8119, 0.3708, 3.3097, 0.8278, 0.5271, 15.1531, 2.0343, 0.0976, 0.6053] digits_cosine_sieve_ranking = [0, 1, 2, 3, 4, 5, 6, 7, 8, 10, 11, 12, 13, 14, 15, 16, 17, 18, 20, 22, 25, 26, 27, 29, 32, 34, 39, 40, 41, 44, 52, 56, 58, 62, 65, 69, 74, 76, 79, 84, 94, 99, 117, 126, 128, 131, 136, 138, 144, 146, 148, 149, 152, 154, 157, 164, 165, 174, 180, 220, 251, 257, 259, 260, 262, 264, 275, 281, 287, 297, 301, 324, 331, 345, 349, 358, 366, 375, 387, 393, 424, 425, 436, 442, 450, 460, 470, 517, 518, 519, 520, 522, 528, 531, 533, 534, 540, 543, 545, 546] digits_cosine_sieve_gains = [0.4861, 0.1082, 0.0127, 0.0322, 0.0112, 0.011, 0.0236, 0.0145, 0.0084, 0.0029, 0.0059, 0.0078, 0.0082, 0.0094, 0.0139, 0.0017, 0.0091, 0.0026, 0.0015, 0.0069, 0.0015, 0.0014, 0.0014, 0.0018, 0.0052, 0.0015, 0.0051, 0.0026, 0.0026, 0.0031, 0.002, 0.0014, 0.0024, 0.0012, 0.0028, 0.001, 0.0011, 0.0022, 0.0021, 0.0031, 0.0019, 0.0019, 0.0013, 0.001, 0.0017, 0.0012, 0.0017, 0.0009, 0.0009, 0.0011, 0.0016, 0.001, 0.0011, 0.0009, 0.0016, 0.0008, 0.0009, 0.0009, 0.0012, 0.001, 0.001, 0.0009, 0.0008, 0.001, 0.0008, 0.0009, 0.0009, 0.0009, 0.0008, 0.0009, 0.0011, 0.0008, 0.001, 0.0009, 0.0008, 0.0008, 0.0009, 0.0014, 0.0007, 0.0011, 0.0007, 0.0008, 0.001, 0.0018, 0.0006, 0.0006, 0.0007, 0.0008, 0.0008, 0.0006, 0.001, 0.0006, 0.0004, 0.0005, 0.0005, 0.0005, 0.0004, 0.0005, 0.0004, 0.0004] # Test some similarity functions def test_digits_euclidean_naive(): model = FacilityLocationSelection(100, 'euclidean', optimizer='naive') model.fit(X_digits) assert_array_equal(model.ranking[:30], digits_euclidean_ranking[:30]) assert_array_equal(model.ranking[-30:], digits_euclidean_ranking[-30:]) assert_array_almost_equal(model.gains, digits_euclidean_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_euclidean_lazy(): model = FacilityLocationSelection(100, 'euclidean', optimizer='lazy') model.fit(X_digits) assert_array_equal(model.ranking, digits_euclidean_ranking) assert_array_almost_equal(model.gains, digits_euclidean_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_euclidean_two_stage(): model = FacilityLocationSelection(100, 'euclidean', optimizer='two-stage') model.fit(X_digits) assert_array_equal(model.ranking, digits_euclidean_ranking) assert_array_almost_equal(model.gains, digits_euclidean_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_corr_naive(): model = FacilityLocationSelection(100, 'corr', optimizer='naive') model.fit(X_digits) assert_array_equal(model.ranking, digits_corr_ranking) assert_array_almost_equal(model.gains, digits_corr_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_corr_lazy(): model = FacilityLocationSelection(100, 'corr', optimizer='lazy') model.fit(X_digits) assert_array_equal(model.ranking, digits_corr_ranking) assert_array_almost_equal(model.gains, digits_corr_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_corr_two_stage(): model = FacilityLocationSelection(100, 'corr', optimizer='two-stage') model.fit(X_digits) assert_array_equal(model.ranking, digits_corr_ranking) assert_array_almost_equal(model.gains, digits_corr_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_naive(): model = FacilityLocationSelection(100, 'cosine', optimizer='naive') model.fit(X_digits) assert_array_equal(model.ranking, digits_cosine_ranking) assert_array_almost_equal(model.gains, digits_cosine_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_lazy(): model = FacilityLocationSelection(100, 'cosine', optimizer='lazy') model.fit(X_digits) assert_array_equal(model.ranking, digits_cosine_ranking) assert_array_almost_equal(model.gains, digits_cosine_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_two_stage(): model = FacilityLocationSelection(100, 'cosine', optimizer='two-stage') model.fit(X_digits) assert_array_equal(model.ranking, digits_cosine_ranking) assert_array_almost_equal(model.gains, digits_cosine_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_precomputed_naive(): model = FacilityLocationSelection(100, 'precomputed', optimizer='naive') model.fit(X_digits_corr_cupy) assert_array_equal(model.ranking, digits_corr_ranking) assert_array_almost_equal(model.gains, digits_corr_gains, 4) def test_digits_precomputed_lazy(): model = FacilityLocationSelection(100, 'precomputed', optimizer='lazy') model.fit(X_digits_corr_cupy) assert_array_equal(model.ranking, digits_corr_ranking) assert_array_almost_equal(model.gains, digits_corr_gains, 4) def test_digits_precomputed_two_stage(): model = FacilityLocationSelection(100, 'precomputed', optimizer='two-stage') model.fit(X_digits_corr_cupy) assert_array_equal(model.ranking, digits_corr_ranking) assert_array_almost_equal(model.gains, digits_corr_gains, 4) # Test with initialization def test_digits_euclidean_naive_init(): model = FacilityLocationSelection(100, 'euclidean', optimizer='naive', initial_subset=digits_euclidean_ranking[:5]) model.fit(X_digits) assert_array_equal(model.ranking[:20], digits_euclidean_ranking[5:25]) assert_array_almost_equal(model.gains[:20], digits_euclidean_gains[5:25], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_euclidean_lazy_init(): model = FacilityLocationSelection(100, 'euclidean', optimizer='lazy', initial_subset=digits_euclidean_ranking[:5]) model.fit(X_digits) assert_array_equal(model.ranking[:-5], digits_euclidean_ranking[5:]) assert_array_almost_equal(model.gains[:-5], digits_euclidean_gains[5:], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_euclidean_two_stage_init(): model = FacilityLocationSelection(100, 'euclidean', optimizer='two-stage', initial_subset=digits_euclidean_ranking[:5]) model.fit(X_digits) assert_array_equal(model.ranking[:-5], digits_euclidean_ranking[5:]) assert_array_almost_equal(model.gains[:-5], digits_euclidean_gains[5:], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_corr_naive_init(): model = FacilityLocationSelection(100, 'corr', optimizer='naive', initial_subset=digits_corr_ranking[:5]) model.fit(X_digits) assert_array_equal(model.ranking[:-5], digits_corr_ranking[5:]) assert_array_almost_equal(model.gains[:-5], digits_corr_gains[5:], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_corr_lazy_init(): model = FacilityLocationSelection(100, 'corr', optimizer='lazy', initial_subset=digits_corr_ranking[:5]) model.fit(X_digits) assert_array_equal(model.ranking[:-5], digits_corr_ranking[5:]) assert_array_almost_equal(model.gains[:-5], digits_corr_gains[5:], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_corr_two_stage_init(): model = FacilityLocationSelection(100, 'corr', optimizer='two-stage', initial_subset=digits_corr_ranking[:5]) model.fit(X_digits) assert_array_equal(model.ranking[:-5], digits_corr_ranking[5:]) assert_array_almost_equal(model.gains[:-5], digits_corr_gains[5:], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_naive_init(): model = FacilityLocationSelection(100, 'cosine', optimizer='naive', initial_subset=digits_cosine_ranking[:5]) model.fit(X_digits) assert_array_equal(model.ranking[:-5], digits_cosine_ranking[5:]) assert_array_almost_equal(model.gains[:-5], digits_cosine_gains[5:], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_lazy_init(): model = FacilityLocationSelection(100, 'cosine', optimizer='lazy', initial_subset=digits_cosine_ranking[:5]) model.fit(X_digits) assert_array_equal(model.ranking[:-5], digits_cosine_ranking[5:]) assert_array_almost_equal(model.gains[:-5], digits_cosine_gains[5:], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_two_stage_init(): model = FacilityLocationSelection(100, 'cosine', optimizer='two-stage', initial_subset=digits_cosine_ranking[:5]) model.fit(X_digits) assert_array_equal(model.ranking[:-5], digits_cosine_ranking[5:]) assert_array_almost_equal(model.gains[:-5], digits_cosine_gains[5:], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_precomputed_naive_init(): model = FacilityLocationSelection(100, 'precomputed', optimizer='naive', initial_subset=digits_cosine_ranking[:5]) model.fit(X_digits_cosine_cupy) assert_array_equal(model.ranking[:-5], digits_cosine_ranking[5:]) assert_array_almost_equal(model.gains[:-5], digits_cosine_gains[5:], 4) def test_digits_precomputed_lazy_init(): model = FacilityLocationSelection(100, 'precomputed', optimizer='lazy', initial_subset=digits_cosine_ranking[:5]) model.fit(X_digits_cosine_cupy) assert_array_equal(model.ranking[:-5], digits_cosine_ranking[5:]) assert_array_almost_equal(model.gains[:-5], digits_cosine_gains[5:], 4) def test_digits_precomputed_two_stage_init(): model = FacilityLocationSelection(100, 'precomputed', optimizer='two-stage', initial_subset=digits_cosine_ranking[:5]) model.fit(X_digits_cosine_cupy) assert_array_equal(model.ranking[:-5], digits_cosine_ranking[5:]) assert_array_almost_equal(model.gains[:-5], digits_cosine_gains[5:], 4) # Test all optimizers def test_digits_cosine_greedi_nn(): model = FacilityLocationSelection(100, 'cosine', optimizer='greedi', optimizer_kwds={'optimizer1': 'naive', 'optimizer2': 'naive'}, random_state=0) model.fit(X_digits) assert_array_equal(model.ranking[:50], digits_cosine_greedi_ranking[:50]) assert_array_almost_equal(model.gains[:50], digits_cosine_greedi_gains[:50], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_greedi_ll(): model = FacilityLocationSelection(100, 'cosine', optimizer='greedi', optimizer_kwds={'optimizer1': 'lazy', 'optimizer2': 'lazy'}, random_state=0) model.fit(X_digits) assert_array_equal(model.ranking[:30], digits_cosine_greedi_ranking[:30]) assert_array_almost_equal(model.gains[:30], digits_cosine_greedi_gains[:30], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_greedi_ln(): model = FacilityLocationSelection(100, 'cosine', optimizer='greedi', optimizer_kwds={'optimizer1': 'lazy', 'optimizer2': 'naive'}, random_state=0) model.fit(X_digits) assert_array_equal(model.ranking[:50], digits_cosine_greedi_ranking[:50]) assert_array_almost_equal(model.gains[:50], digits_cosine_greedi_gains[:50], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_greedi_nl(): model = FacilityLocationSelection(100, 'cosine', optimizer='greedi', optimizer_kwds={'optimizer1': 'naive', 'optimizer2': 'lazy'}, random_state=0) model.fit(X_digits) assert_array_equal(model.ranking[:30], digits_cosine_greedi_ranking[:30]) assert_array_almost_equal(model.gains[:30], digits_cosine_greedi_gains[:30], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_approximate(): model = FacilityLocationSelection(100, 'cosine', optimizer='approximate-lazy') model.fit(X_digits) assert_array_equal(model.ranking, digits_cosine_approx_ranking) assert_array_almost_equal(model.gains, digits_cosine_approx_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_stochastic(): model = FacilityLocationSelection(100, 'cosine', optimizer='stochastic', random_state=0) model.fit(X_digits) assert_array_equal(model.ranking, digits_cosine_stochastic_ranking) assert_array_almost_equal(model.gains, digits_cosine_stochastic_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_sample(): model = FacilityLocationSelection(100, 'cosine', optimizer='sample', random_state=0) model.fit(X_digits) assert_array_equal(model.ranking, digits_cosine_sample_ranking) assert_array_almost_equal(model.gains, digits_cosine_sample_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_modular(): model = FacilityLocationSelection(100, 'cosine', optimizer='modular', random_state=0) model.fit(X_digits) assert_array_equal(model.ranking, digits_cosine_modular_ranking) assert_array_almost_equal(model.gains, digits_cosine_modular_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) # Using the partial_fit method def test_digits_cosine_sieve_batch(): model = FacilityLocationSelection(100, 'cosine', random_state=0, reservoir=X_digits) model.partial_fit(X_digits) assert_array_equal(model.ranking, digits_cosine_sieve_ranking) assert_array_almost_equal(model.gains, digits_cosine_sieve_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_sieve_minibatch(): model = FacilityLocationSelection(100, 'cosine', random_state=0, reservoir=X_digits) model.partial_fit(X_digits[:300]) model.partial_fit(X_digits[300:500]) model.partial_fit(X_digits[500:]) assert_array_equal(model.ranking, digits_cosine_sieve_ranking) assert_array_almost_equal(model.gains, digits_cosine_sieve_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) # Using Optimizer Objects def test_digits_cosine_naive_object(): model = FacilityLocationSelection(100, 'cosine', optimizer=NaiveGreedy()) model.fit(X_digits) assert_array_equal(model.ranking, digits_cosine_ranking) assert_array_almost_equal(model.gains, digits_cosine_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_lazy_object(): model = FacilityLocationSelection(100, 'cosine', optimizer=LazyGreedy()) model.fit(X_digits) assert_array_equal(model.ranking, digits_cosine_ranking) assert_array_almost_equal(model.gains, digits_cosine_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_two_stage_object(): model = FacilityLocationSelection(100, 'cosine', optimizer=TwoStageGreedy()) model.fit(X_digits) assert_array_equal(model.ranking, digits_cosine_ranking) assert_array_almost_equal(model.gains, digits_cosine_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_greedi_nn_object(): model = FacilityLocationSelection(100, 'cosine', optimizer=GreeDi( optimizer1='naive', optimizer2='naive', random_state=0)) model.fit(X_digits) assert_array_equal(model.ranking[:50], digits_cosine_greedi_ranking[:50]) assert_array_almost_equal(model.gains[:50], digits_cosine_greedi_gains[:50], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_greedi_ll_object(): model = FacilityLocationSelection(100, 'cosine', optimizer=GreeDi( optimizer1='lazy', optimizer2='lazy', random_state=0)) model.fit(X_digits) assert_array_equal(model.ranking[:30], digits_cosine_greedi_ranking[:30]) assert_array_almost_equal(model.gains[:30], digits_cosine_greedi_gains[:30], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_greedi_ln_object(): model = FacilityLocationSelection(100, 'cosine', optimizer=GreeDi( optimizer1='lazy', optimizer2='naive', random_state=0)) model.fit(X_digits) assert_array_equal(model.ranking[:30], digits_cosine_greedi_ranking[:30]) assert_array_almost_equal(model.gains[:30], digits_cosine_greedi_gains[:30], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_greedi_nl_object(): model = FacilityLocationSelection(100, 'cosine', optimizer=GreeDi( optimizer1='naive', optimizer2='lazy', random_state=0)) model.fit(X_digits) assert_array_equal(model.ranking[:30], digits_cosine_greedi_ranking[:30]) assert_array_almost_equal(model.gains[:30], digits_cosine_greedi_gains[:30], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_approximate_object(): model = FacilityLocationSelection(100, 'cosine', optimizer=ApproximateLazyGreedy()) model.fit(X_digits) assert_array_equal(model.ranking, digits_cosine_approx_ranking) assert_array_almost_equal(model.gains, digits_cosine_approx_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_stochastic_object(): model = FacilityLocationSelection(100, 'cosine', optimizer=StochasticGreedy(random_state=0)) model.fit(X_digits) assert_array_equal(model.ranking, digits_cosine_stochastic_ranking) assert_array_almost_equal(model.gains, digits_cosine_stochastic_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_sample_object(): model = FacilityLocationSelection(100, 'cosine', optimizer=SampleGreedy(random_state=0)) model.fit(X_digits) assert_array_equal(model.ranking, digits_cosine_sample_ranking) assert_array_almost_equal(model.gains, digits_cosine_sample_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_sqrt_modular_object(): model = FacilityLocationSelection(100, 'cosine', optimizer=ModularGreedy(random_state=0)) model.fit(X_digits) assert_array_equal(model.ranking, digits_cosine_modular_ranking) assert_array_almost_equal(model.gains, digits_cosine_modular_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) # Test all optimizers on sparse data def test_digits_cosine_naive_sparse(): model = FacilityLocationSelection(100, 'precomputed', optimizer='naive') model.fit(X_digits_cosine_sparse) assert_array_equal(model.ranking, digits_cosine_ranking) assert_array_almost_equal(model.gains, digits_cosine_gains, 4) def test_digits_cosine_lazy_sparse(): model = FacilityLocationSelection(100, 'precomputed', optimizer='lazy') model.fit(X_digits_cosine_sparse) assert_array_equal(model.ranking, digits_cosine_ranking) assert_array_almost_equal(model.gains, digits_cosine_gains, 4) def test_digits_cosine_two_stage_sparse(): model = FacilityLocationSelection(100, 'precomputed', optimizer='two-stage') model.fit(X_digits_cosine_sparse) assert_array_equal(model.ranking, digits_cosine_ranking) assert_array_almost_equal(model.gains, digits_cosine_gains, 4) def test_digits_cosine_greedi_nn_sparse(): model = FacilityLocationSelection(100, 'precomputed', optimizer='greedi', optimizer_kwds={'optimizer1': 'naive', 'optimizer2': 'naive'}, random_state=0) model.fit(X_digits_cosine_sparse) assert_array_equal(model.ranking, digits_cosine_greedi_ranking) assert_array_almost_equal(model.gains, digits_cosine_greedi_gains, 4) def test_digits_cosine_greedi_ll_sparse(): model = FacilityLocationSelection(100, 'precomputed', optimizer='greedi', optimizer_kwds={'optimizer1': 'lazy', 'optimizer2': 'lazy'}, random_state=0) model.fit(X_digits_cosine_sparse) assert_array_equal(model.ranking[:30], digits_cosine_greedi_ranking[:30]) assert_array_almost_equal(model.gains[:30], digits_cosine_greedi_gains[:30], 4) def test_digits_cosine_greedi_ln_sparse(): model = FacilityLocationSelection(100, 'precomputed', optimizer='greedi', optimizer_kwds={'optimizer1': 'lazy', 'optimizer2': 'naive'}, random_state=0) model.fit(X_digits_cosine_sparse) assert_array_equal(model.ranking, digits_cosine_greedi_ranking) assert_array_almost_equal(model.gains, digits_cosine_greedi_gains, 4) def test_digits_cosine_greedi_nl_sparse(): model = FacilityLocationSelection(100, 'precomputed', optimizer='greedi', optimizer_kwds={'optimizer1': 'naive', 'optimizer2': 'lazy'}, random_state=0) model.fit(X_digits_cosine_sparse) assert_array_equal(model.ranking[:30], digits_cosine_greedi_ranking[:30]) assert_array_almost_equal(model.gains[:30], digits_cosine_greedi_gains[:30], 4) def test_digits_cosine_approximate_sparse(): model = FacilityLocationSelection(100, 'precomputed', optimizer='approximate-lazy') model.fit(X_digits_cosine_sparse) assert_array_equal(model.ranking, digits_cosine_approx_ranking) assert_array_almost_equal(model.gains, digits_cosine_approx_gains, 4) def test_digits_cosine_stochastic_sparse(): model = FacilityLocationSelection(100, 'precomputed', optimizer='stochastic', random_state=0) model.fit(X_digits_cosine_sparse) assert_array_equal(model.ranking, digits_cosine_stochastic_ranking) assert_array_almost_equal(model.gains, digits_cosine_stochastic_gains, 4) def test_digits_cosine_sample_sparse(): model = FacilityLocationSelection(100, 'precomputed', optimizer='sample', random_state=0) model.fit(X_digits_cosine_sparse) assert_array_equal(model.ranking, digits_cosine_sample_ranking) assert_array_almost_equal(model.gains, digits_cosine_sample_gains, 4) def test_digits_sqrt_modular_sparse(): model = FacilityLocationSelection(100, 'precomputed', optimizer='modular', random_state=0) model.fit(X_digits_cosine_sparse) assert_array_equal(model.ranking, digits_cosine_modular_ranking) assert_array_almost_equal(model.gains, digits_cosine_modular_gains, 4) jmschrei-apricot-bf86e69/tests/test_functions/test_feature_based.py000066400000000000000000000775071414554015600260500ustar00rootroot00000000000000import scipy import numpy from apricot import FeatureBasedSelection from apricot.optimizers import * from sklearn.datasets import load_digits from sklearn.metrics import pairwise_distances from numpy.testing import assert_almost_equal from numpy.testing import assert_array_equal from numpy.testing import assert_array_almost_equal # print("[" + ", ".join(map(str, model.ranking)) + "]") # print("[" + ", ".join([str(round(gain, 4)) for gain in model.gains]) + "]") digits_data = load_digits() X_digits = digits_data.data X_digits_sparse = scipy.sparse.csr_matrix(X_digits) digits_sqrt_ranking = [818, 1296, 732, 988, 629, 1747, 951, 235, 1375, 1205, 1572, 1766, 178, 1657, 898, 1271, 513, 591, 160, 736, 1070, 185, 1113, 491, 1793, 1017, 283, 221, 1493, 688, 538, 423, 919, 1796, 163, 1022, 1176, 208, 890, 565, 693, 313, 1009, 1317, 956, 502, 1043, 1082, 1273, 1313, 1030, 33, 756, 263, 768, 1487, 586, 1086, 854, 430, 615, 805, 1193, 1393, 1704, 352, 757, 873, 666, 979, 457, 424, 481, 1437, 1342, 407, 1349, 1668, 1470, 1021, 77, 1191, 673, 1305, 453, 786, 851, 1186, 168, 500, 1012, 548, 1071, 451, 1260, 436, 1106, 655, 372, 1263] digits_sqrt_gains = [124.8187, 59.9654, 47.7603, 37.88, 34.3933, 29.819, 27.4785, 25.2363, 23.6127, 22.6002, 21.1175, 20.1914, 19.1849, 18.5015, 17.9476, 17.3043, 16.6255, 16.0984, 15.7533, 15.1851, 14.8136, 14.4975, 14.1907, 13.8717, 13.4887, 13.2287, 13.0037, 12.6406, 12.4373, 12.1814, 11.9999, 11.7982, 11.6161, 11.4169, 11.2585, 11.1032, 10.9829, 10.8366, 10.6663, 10.5211, 10.4042, 10.2704, 10.1146, 10.0116, 9.8487, 9.7181, 9.6466, 9.529, 9.4284, 9.3388, 9.2417, 9.1192, 9.0285, 8.9639, 8.8704, 8.7846, 8.7234, 8.6348, 8.5746, 8.4954, 8.4284, 8.349, 8.28, 8.1906, 8.1304, 8.0608, 8.0066, 7.9458, 7.8825, 7.8351, 7.7756, 7.7179, 7.6538, 7.591, 7.544, 7.491, 7.4324, 7.3709, 7.3239, 7.2695, 7.2282, 7.1841, 7.1514, 7.1167, 7.0633, 7.009, 6.9693, 6.9245, 6.8838, 6.8409, 6.8031, 6.7691, 6.7295, 6.6905, 6.655, 6.6156, 6.5894, 6.5419, 6.5137, 6.4752] digits_log_ranking = [818, 1296, 732, 988, 629, 1657, 1375, 1572, 1271, 1070, 163, 873, 1086, 1176, 502, 591, 757, 1205, 1273, 919, 1043, 1313, 1264, 1576, 283, 586, 951, 756, 1022, 1493, 1113, 956, 673, 565, 1017, 1305, 235, 1321, 851, 87, 689, 1317, 1248, 33, 1754, 538, 263, 1191, 160, 1260, 1109, 317, 1487, 1277, 1263, 1012, 979, 1778, 1009, 178, 313, 998, 430, 1082, 889, 947, 655, 1393, 494, 786, 1437, 1193, 372, 767, 1293, 800, 436, 1635, 1106, 566, 513, 447, 1718, 1793, 609, 1342, 1302, 900, 898, 77, 1470, 517, 1290, 1023, 457, 1094, 488, 185, 788, 1033] digits_log_gains = [91.5816, 34.6074, 25.542, 16.4452, 13.9838, 11.1475, 9.1666, 7.6363, 6.8872, 5.7784, 5.3453, 4.7717, 4.5818, 4.1378, 3.8602, 3.5665, 3.4442, 3.1993, 2.9802, 2.8595, 2.7123, 2.6332, 2.5552, 2.419, 2.3094, 2.2069, 2.1207, 2.0497, 1.9825, 1.8702, 1.8015, 1.7358, 1.6978, 1.6348, 1.5802, 1.5312, 1.4802, 1.4477, 1.4025, 1.3824, 1.3361, 1.3128, 1.2653, 1.2326, 1.2089, 1.1864, 1.1684, 1.1311, 1.104, 1.0827, 1.0572, 1.0433, 1.0235, 0.9939, 0.9825, 0.9685, 0.9532, 0.9373, 0.9189, 0.8972, 0.8808, 0.869, 0.8477, 0.8338, 0.8175, 0.808, 0.7975, 0.785, 0.7693, 0.7611, 0.7532, 0.7334, 0.7213, 0.7139, 0.706, 0.6899, 0.6817, 0.6738, 0.665, 0.6595, 0.6501, 0.6383, 0.6318, 0.6265, 0.6206, 0.6104, 0.6003, 0.5945, 0.5864, 0.578, 0.5718, 0.5681, 0.5598, 0.554, 0.5482, 0.5434, 0.5383, 0.5306, 0.5265, 0.5191] digits_sigmoid_ranking = [505, 732, 1273, 988, 1375, 1264, 502, 1594, 1070, 1271, 873, 757, 956, 87, 1576, 1086, 1313, 1043, 919, 163, 566, 1305, 673, 1176, 1657, 586, 800, 1572, 1248, 1321, 756, 1165, 1022, 1277, 947, 1754, 327, 447, 1293, 900, 1259, 689, 1263, 1778, 629, 889, 998, 1735, 1191, 317, 851, 591, 897, 494, 1393, 33, 1012, 1341, 1302, 1094, 1260, 1109, 467, 1023, 1742, 283, 1618, 1274, 655, 609, 1215, 1718, 1033, 263, 951, 982, 1635, 413, 1205, 1600, 771, 1589, 599, 1001, 1017, 1290, 1268, 1009, 517, 488, 1115, 1731, 1493, 176, 430, 734, 1708, 1211, 538, 1487] digits_sigmoid_gains = [35.1677, 8.8456, 4.5601, 3.2231, 1.7348, 1.3904, 0.8558, 0.5118, 0.4719, 0.3108, 0.291, 0.223, 0.2062, 0.1997, 0.159, 0.1267, 0.1138, 0.1042, 0.0739, 0.0614, 0.0593, 0.0547, 0.0499, 0.0455, 0.0361, 0.0339, 0.0294, 0.0284, 0.0271, 0.0237, 0.021, 0.0187, 0.0176, 0.0171, 0.0166, 0.0149, 0.0139, 0.0128, 0.0127, 0.0118, 0.0113, 0.0102, 0.0101, 0.0096, 0.0095, 0.0086, 0.0082, 0.0077, 0.0073, 0.0071, 0.0067, 0.0065, 0.0064, 0.0058, 0.0056, 0.0054, 0.0052, 0.005, 0.0047, 0.0046, 0.0042, 0.004, 0.004, 0.0037, 0.0036, 0.0035, 0.0034, 0.0032, 0.0031, 0.003, 0.0029, 0.0028, 0.0028, 0.0027, 0.0026, 0.0025, 0.0024, 0.0023, 0.0023, 0.0022, 0.0021, 0.0021, 0.002, 0.002, 0.0019, 0.0018, 0.0018, 0.0018, 0.0018, 0.0017, 0.0017, 0.0016, 0.0016, 0.0016, 0.0015, 0.0015, 0.0014, 0.0014, 0.0014, 0.0013] digits_sqrt_greedi_ranking = [818, 1296, 732, 988, 629, 1747, 951, 235, 1375, 1205, 1572, 1766, 178, 1657, 898, 1271, 513, 591, 160, 736, 1070, 185, 1113, 491, 1793, 1017, 283, 221, 1493, 688, 538, 423, 919, 1796, 163, 1022, 1176, 208, 890, 565, 693, 313, 1009, 1317, 956, 502, 1043, 1082, 1273, 1313, 1030, 33, 756, 263, 768, 1487, 586, 1086, 854, 430, 615, 805, 1193, 1393, 1704, 352, 757, 873, 666, 979, 457, 424, 481, 1437, 1342, 407, 1349, 1668, 1470, 1021, 77, 1191, 673, 1305, 453, 786, 851, 1186, 168, 500, 1012, 548, 1071, 451, 1260, 436, 1106, 655, 372, 1105] digits_sqrt_greedi_gains = [124.8187, 59.9654, 47.7603, 37.88, 34.3933, 29.819, 27.4785, 25.2363, 23.6127, 22.6002, 21.1175, 20.1914, 19.1849, 18.5015, 17.9476, 17.3043, 16.6255, 16.0984, 15.7533, 15.1851, 14.8136, 14.4975, 14.1907, 13.8717, 13.4887, 13.2287, 13.0037, 12.6406, 12.4373, 12.1814, 11.9999, 11.7982, 11.6161, 11.4169, 11.2585, 11.1032, 10.9829, 10.8366, 10.6663, 10.5211, 10.4042, 10.2704, 10.1146, 10.0116, 9.8487, 9.7181, 9.6466, 9.529, 9.4284, 9.3388, 9.2417, 9.1192, 9.0285, 8.9639, 8.8704, 8.7846, 8.7234, 8.6348, 8.5746, 8.4954, 8.4284, 8.349, 8.28, 8.1906, 8.1304, 8.0608, 8.0066, 7.9458, 7.8825, 7.8351, 7.7756, 7.7179, 7.6538, 7.591, 7.544, 7.491, 7.4324, 7.3709, 7.3239, 7.2695, 7.2282, 7.1841, 7.1514, 7.1167, 7.0633, 7.009, 6.9693, 6.9245, 6.8838, 6.8409, 6.8031, 6.7691, 6.7295, 6.6905, 6.655, 6.6156, 6.5894, 6.5419, 6.5137, 6.4719] digits_sqrt_approx_ranking = [818, 1296, 732, 951, 988, 629, 1747, 1375, 1572, 1793, 1657, 235, 1205, 491, 898, 1273, 1766, 1022, 1493, 956, 160, 185, 1086, 423, 1070, 178, 736, 513, 591, 163, 565, 263, 1113, 688, 221, 890, 208, 538, 1313, 1317, 693, 283, 502, 919, 1017, 1796, 1030, 1271, 313, 1043, 1176, 1009, 1470, 854, 1082, 756, 352, 548, 1193, 768, 615, 805, 33, 757, 586, 786, 979, 689, 1106, 1437, 1393, 430, 666, 457, 1487, 424, 407, 873, 481, 1021, 1349, 1709, 851, 1191, 1305, 1088, 929, 317, 1704, 1342, 87, 1668, 1260, 500, 453, 168, 451, 1111, 402, 1071] digits_sqrt_approx_gains = [124.8187, 59.9654, 47.7603, 36.5877, 34.585, 30.8293, 27.5687, 24.7392, 23.6423, 22.5006, 21.0966, 20.4486, 19.3707, 18.284, 17.9394, 16.808, 16.814, 15.608, 15.5028, 14.5844, 14.9441, 14.4841, 13.8934, 13.5299, 13.507, 13.2489, 13.3447, 12.923, 12.684, 12.3187, 11.8248, 11.7822, 11.8639, 11.6505, 11.3763, 11.1356, 11.0365, 10.7705, 10.6115, 10.4958, 10.4803, 10.3406, 10.0809, 10.2725, 10.0921, 9.8785, 9.5831, 9.5634, 9.4422, 9.4675, 9.2119, 9.2461, 9.0002, 8.9668, 8.9111, 8.8331, 8.6894, 8.4808, 8.4961, 8.4728, 8.433, 8.3223, 8.3195, 8.1904, 8.2816, 7.9816, 7.9634, 7.6974, 7.8092, 7.7831, 7.8066, 7.757, 7.6813, 7.607, 7.5631, 7.5253, 7.4628, 7.5083, 7.358, 7.2888, 7.2419, 7.1631, 7.1315, 7.1121, 7.0837, 6.796, 6.7103, 6.7474, 6.985, 6.8964, 6.6507, 6.809, 6.7182, 6.7353, 6.7056, 6.6408, 6.6041, 6.5328, 6.4955, 6.4845] digits_sqrt_stochastic_ranking = [1081, 1014, 1386, 770, 567, 137, 723, 1491, 1274, 1492, 1728, 1456, 186, 1448, 386, 148, 891, 1759, 1424, 587, 191, 629, 1507, 1084, 1473, 946, 518, 638, 1739, 502, 1537, 1227, 689, 88, 238, 1667, 1785, 1067, 1461, 1222, 1099, 607, 364, 1572, 1195, 217, 1034, 208, 84, 1128, 425, 345, 626, 843, 1070, 83, 1449, 1071, 1644, 1392, 1415, 449, 802, 1348, 1553, 175, 1455, 1770, 1395, 1032, 879, 1220, 1137, 129, 754, 1695, 1459, 782, 549, 1069, 260, 834, 517, 919, 1622, 700, 424, 1685, 245, 1339, 1152, 1212, 1425, 937, 1665, 291, 1535, 701, 1508, 1219] digits_sqrt_stochastic_gains = [99.7066, 33.2522, 35.1028, 43.8482, 25.3456, 22.3207, 27.4697, 21.5974, 26.0808, 20.7894, 21.1324, 20.6968, 18.3521, 17.6346, 17.864, 17.4868, 12.7709, 17.2483, 12.4284, 10.7492, 12.7326, 15.9778, 11.509, 11.4864, 10.2599, 12.9274, 10.2816, 10.7871, 12.043, 15.0108, 11.4361, 9.4542, 15.5201, 9.7471, 10.6219, 10.6349, 10.1038, 10.7344, 9.5296, 8.3925, 7.6976, 7.7776, 8.8363, 14.6291, 7.9523, 8.5095, 9.4513, 10.8671, 10.0301, 7.0837, 8.7835, 8.2457, 9.1762, 7.8972, 11.8294, 6.6201, 6.815, 9.2472, 6.0684, 7.3866, 6.4261, 6.6696, 7.5083, 7.9376, 5.7945, 6.7975, 7.4113, 6.6602, 7.7565, 5.7888, 5.7582, 8.2307, 6.0439, 5.5457, 7.4292, 7.8641, 6.1818, 6.6728, 6.1108, 7.5972, 5.2215, 6.9156, 7.8731, 9.4223, 6.1425, 6.7087, 7.5943, 6.8337, 5.7614, 5.119, 5.3402, 5.2962, 5.8339, 6.3244, 5.0581, 5.4821, 5.6646, 6.4401, 4.9711, 5.0013] digits_sqrt_sample_ranking = [818, 1296, 732, 988, 629, 1747, 951, 235, 1205, 898, 1313, 1766, 1657, 283, 178, 1271, 160, 591, 1070, 736, 185, 1113, 491, 1793, 1017, 221, 1022, 423, 1493, 693, 890, 1796, 538, 919, 1009, 565, 163, 1176, 208, 313, 263, 1317, 1043, 956, 502, 1030, 1082, 1086, 430, 1393, 586, 756, 33, 854, 805, 615, 768, 757, 1704, 1193, 1273, 352, 1487, 481, 424, 1191, 407, 873, 1349, 673, 979, 1342, 1021, 1668, 453, 77, 1470, 1305, 548, 168, 1263, 1437, 655, 786, 1071, 1186, 451, 851, 1012, 500, 172, 436, 767, 1106, 372, 689, 1709, 1105, 1130, 1117] digits_sqrt_sample_gains = [124.8187, 59.9654, 47.7603, 37.88, 34.3933, 29.819, 27.4785, 25.2363, 23.3612, 21.8656, 20.7177, 19.9711, 19.0521, 18.4552, 17.8137, 17.2874, 16.5854, 16.2293, 15.7069, 15.2899, 14.87, 14.5026, 14.1959, 13.7814, 13.4552, 13.1936, 12.9014, 12.6701, 12.4045, 12.2143, 11.9625, 11.7778, 11.6071, 11.4762, 11.3381, 11.1117, 10.9774, 10.8607, 10.6766, 10.4814, 10.3056, 10.2264, 10.051, 9.9809, 9.887, 9.7386, 9.6435, 9.4956, 9.4086, 9.3191, 9.2254, 9.1569, 9.0615, 8.9634, 8.8806, 8.7956, 8.7102, 8.6244, 8.5677, 8.4807, 8.4288, 8.3312, 8.256, 8.1811, 8.1037, 8.037, 7.9838, 7.9265, 7.8527, 7.8004, 7.7752, 7.7201, 7.6412, 7.5886, 7.5193, 7.4676, 7.4258, 7.3639, 7.3103, 7.2682, 7.224, 7.1757, 7.1467, 7.0998, 7.0498, 7.0015, 6.9572, 6.9109, 6.8789, 6.8376, 6.7858, 6.7495, 6.7202, 6.6808, 6.6485, 6.619, 6.5719, 6.5329, 6.504, 6.4681] digits_sqrt_modular_ranking = [818, 1766, 491, 178, 185, 768, 1747, 513, 160, 208, 423, 898, 1793, 854, 424, 890, 352, 1796, 505, 402, 978, 148, 459, 138, 500, 457, 1030, 666, 693, 1342, 235, 509, 370, 417, 452, 1296, 615, 407, 1709, 309, 481, 736, 578, 1082, 168, 805, 55, 1186, 1379, 453, 1759, 1205, 332, 126, 565, 1668, 221, 644, 1021, 451, 1493, 209, 1276, 831, 420, 1071, 396, 1704, 1009, 688, 1703, 1774, 913, 1069, 1393, 1317, 646, 1193, 951, 1349, 985, 1736, 72, 1705, 1545, 1113, 1105, 899, 1470, 1015, 33, 1474, 1310, 514, 1620, 1676, 786, 1106, 439, 1781] digits_sqrt_modular_gains = [124.8187, 51.9061, 47.4915, 35.6125, 29.7708, 27.3961, 26.4327, 24.1408, 22.1667, 20.2845, 20.0954, 21.1915, 18.2166, 16.7368, 16.2063, 16.7485, 15.7232, 15.6179, 14.0931, 13.7756, 13.6743, 12.7662, 13.1461, 12.4817, 12.9374, 15.6196, 12.4405, 12.1912, 12.4937, 11.7731, 12.5722, 10.859, 10.4607, 10.5201, 10.5302, 12.899, 10.5381, 10.313, 10.013, 9.4011, 10.09, 11.2713, 9.7648, 9.9619, 9.3907, 9.6243, 8.9277, 9.2394, 8.9121, 8.982, 8.8631, 9.9972, 8.2035, 8.0633, 8.8855, 8.6107, 8.9425, 7.8859, 9.1915, 8.1208, 8.5308, 7.7537, 7.6988, 7.7163, 7.481, 7.8962, 7.4548, 7.9412, 10.5212, 8.2094, 7.1568, 7.2931, 6.8229, 7.0808, 8.7026, 7.518, 7.1572, 7.3819, 8.3246, 7.2349, 7.4443, 6.5081, 6.62, 6.5171, 6.3782, 8.1463, 6.7833, 6.2106, 6.7071, 6.3, 7.7459, 6.6087, 6.5699, 5.9068, 6.3729, 6.3294, 6.4772, 6.3678, 5.9507, 6.354] digits_sqrt_sieve_ranking = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 25, 26, 27, 28, 29, 30, 31, 32, 33, 35, 36, 37, 38, 39, 40, 41, 44, 48, 49, 52, 55, 58, 61, 64, 66, 72, 73, 76, 77, 79, 84, 87, 98, 126, 135, 138, 160, 163, 168, 172, 178, 185, 208, 221, 235, 263, 283, 313, 317, 423, 430, 436, 491, 494, 502, 538, 586, 591, 629, 673, 732, 757, 818, 873, 988, 1043, 1070, 1086, 1176, 1205, 1271, 1296, 1313, 1375, 1493, 1572] digits_sqrt_sieve_gains = [97.4318, 56.261, 41.2277, 28.303, 22.4519, 26.0864, 20.4726, 25.2477, 21.9949, 19.2037, 19.0145, 16.1839, 16.4639, 18.937, 17.1049, 18.4655, 14.7195, 14.2448, 10.6285, 11.6475, 13.6245, 12.8581, 10.1707, 11.3949, 9.3721, 13.8714, 12.2688, 10.2994, 11.2193, 13.2881, 9.4804, 13.0039, 12.9107, 9.8257, 10.7652, 9.9669, 9.839, 9.8269, 9.6268, 9.8585, 10.6952, 9.1965, 9.0226, 10.4219, 10.352, 9.0895, 9.4044, 9.1408, 9.5094, 9.6559, 8.7728, 8.9756, 10.122, 8.9807, 9.5481, 8.7555, 8.6382, 8.6878, 8.6501, 8.736, 9.5372, 9.3277, 8.7554, 8.7882, 9.1946, 8.9874, 8.7261, 8.6805, 8.9986, 11.8718, 10.1197, 8.595, 9.8908, 8.3371, 8.4011, 8.5834, 8.2552, 8.3212, 9.5605, 8.3984, 8.3562, 8.395, 8.3125, 8.7659, 8.9045, 8.4036, 8.0924, 9.0439, 9.965, 7.7882, 7.9432, 8.8214, 8.1663, 7.5898, 7.6332, 7.6048, 7.6056, 7.7276, 7.2711, 7.6604] # Test some concave functions def test_digits_log_naive(): model = FeatureBasedSelection(100, 'log', optimizer='naive') model.fit(X_digits) assert_array_equal(model.ranking[:30], digits_log_ranking[:30]) assert_array_equal(model.ranking[-30:], digits_log_ranking[-30:]) assert_array_almost_equal(model.gains, digits_log_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_log_lazy(): model = FeatureBasedSelection(100, 'log', optimizer='lazy') model.fit(X_digits) assert_array_equal(model.ranking, digits_log_ranking) assert_array_almost_equal(model.gains, digits_log_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_log_two_stage(): model = FeatureBasedSelection(100, 'log', optimizer='two-stage') model.fit(X_digits) assert_array_equal(model.ranking, digits_log_ranking) assert_array_almost_equal(model.gains, digits_log_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_sigmoid_naive(): model = FeatureBasedSelection(100, 'sigmoid', optimizer='naive') model.fit(X_digits) assert_array_equal(model.ranking, digits_sigmoid_ranking) assert_array_almost_equal(model.gains, digits_sigmoid_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_sigmoid_lazy(): model = FeatureBasedSelection(100, 'sigmoid', optimizer='lazy') model.fit(X_digits) assert_array_equal(model.ranking, digits_sigmoid_ranking) assert_array_almost_equal(model.gains, digits_sigmoid_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_sigmoid_two_stage(): model = FeatureBasedSelection(100, 'sigmoid', optimizer='two-stage') model.fit(X_digits) assert_array_equal(model.ranking, digits_sigmoid_ranking) assert_array_almost_equal(model.gains, digits_sigmoid_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_sqrt_naive(): model = FeatureBasedSelection(100, 'sqrt', optimizer='naive') model.fit(X_digits) assert_array_equal(model.ranking, digits_sqrt_ranking) assert_array_almost_equal(model.gains, digits_sqrt_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_sqrt_lazy(): model = FeatureBasedSelection(100, 'sqrt', optimizer='lazy') model.fit(X_digits) assert_array_equal(model.ranking, digits_sqrt_ranking) assert_array_almost_equal(model.gains, digits_sqrt_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_sqrt_two_stage(): model = FeatureBasedSelection(100, 'sqrt', optimizer='two-stage') model.fit(X_digits) assert_array_equal(model.ranking, digits_sqrt_ranking) assert_array_almost_equal(model.gains, digits_sqrt_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) # Test with initialization def test_digits_log_naive_init(): model = FeatureBasedSelection(100, 'log', optimizer='naive', initial_subset=digits_log_ranking[:5]) model.fit(X_digits) assert_array_equal(model.ranking[:20], digits_log_ranking[5:25]) assert_array_almost_equal(model.gains[:20], digits_log_gains[5:25], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_log_lazy_init(): model = FeatureBasedSelection(100, 'log', optimizer='lazy', initial_subset=digits_log_ranking[:5]) model.fit(X_digits) assert_array_equal(model.ranking[:-5], digits_log_ranking[5:]) assert_array_almost_equal(model.gains[:-5], digits_log_gains[5:], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_log_two_stage_init(): model = FeatureBasedSelection(100, 'log', optimizer='two-stage', initial_subset=digits_log_ranking[:5]) model.fit(X_digits) assert_array_equal(model.ranking[:-5], digits_log_ranking[5:]) assert_array_almost_equal(model.gains[:-5], digits_log_gains[5:], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_sigmoid_naive_init(): model = FeatureBasedSelection(100, 'sigmoid', optimizer='naive', initial_subset=digits_sigmoid_ranking[:5]) model.fit(X_digits) assert_array_equal(model.ranking[:-5], digits_sigmoid_ranking[5:]) assert_array_almost_equal(model.gains[:-5], digits_sigmoid_gains[5:], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_sigmoid_lazy_init(): model = FeatureBasedSelection(100, 'sigmoid', optimizer='lazy', initial_subset=digits_sigmoid_ranking[:5]) model.fit(X_digits) assert_array_equal(model.ranking[:-5], digits_sigmoid_ranking[5:]) assert_array_almost_equal(model.gains[:-5], digits_sigmoid_gains[5:], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_sigmoid_two_stage_init(): model = FeatureBasedSelection(100, 'sigmoid', optimizer='two-stage', initial_subset=digits_sigmoid_ranking[:5]) model.fit(X_digits) assert_array_equal(model.ranking[:-5], digits_sigmoid_ranking[5:]) assert_array_almost_equal(model.gains[:-5], digits_sigmoid_gains[5:], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_sqrt_naive_init(): model = FeatureBasedSelection(100, 'sqrt', optimizer='naive', initial_subset=digits_sqrt_ranking[:5]) model.fit(X_digits) assert_array_equal(model.ranking[:-5], digits_sqrt_ranking[5:]) assert_array_almost_equal(model.gains[:-5], digits_sqrt_gains[5:], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_sqrt_lazy_init(): model = FeatureBasedSelection(100, 'sqrt', optimizer='lazy', initial_subset=digits_sqrt_ranking[:5]) model.fit(X_digits) assert_array_equal(model.ranking[:-5], digits_sqrt_ranking[5:]) assert_array_almost_equal(model.gains[:-5], digits_sqrt_gains[5:], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_sqrt_two_stage_init(): model = FeatureBasedSelection(100, 'sqrt', optimizer='two-stage', initial_subset=digits_sqrt_ranking[:5]) model.fit(X_digits) assert_array_equal(model.ranking[:-5], digits_sqrt_ranking[5:]) assert_array_almost_equal(model.gains[:-5], digits_sqrt_gains[5:], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) # Test all optimizers def test_digits_sqrt_greedi_nn(): model = FeatureBasedSelection(100, 'sqrt', optimizer='greedi', optimizer_kwds={'optimizer1': 'naive', 'optimizer2': 'naive'}, random_state=0) model.fit(X_digits) assert_array_equal(model.ranking[:50], digits_sqrt_greedi_ranking[:50]) assert_array_almost_equal(model.gains[:50], digits_sqrt_greedi_gains[:50], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_sqrt_greedi_ll(): model = FeatureBasedSelection(100, 'sqrt', optimizer='greedi', optimizer_kwds={'optimizer1': 'lazy', 'optimizer2': 'lazy'}, random_state=0) model.fit(X_digits) assert_array_equal(model.ranking[:30], digits_sqrt_greedi_ranking[:30]) assert_array_almost_equal(model.gains[:30], digits_sqrt_greedi_gains[:30], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_sqrt_greedi_ln(): model = FeatureBasedSelection(100, 'sqrt', optimizer='greedi', optimizer_kwds={'optimizer1': 'lazy', 'optimizer2': 'naive'}, random_state=0) model.fit(X_digits) assert_array_equal(model.ranking, digits_sqrt_greedi_ranking) assert_array_almost_equal(model.gains, digits_sqrt_greedi_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_sqrt_greedi_nl(): model = FeatureBasedSelection(100, 'sqrt', optimizer='greedi', optimizer_kwds={'optimizer1': 'naive', 'optimizer2': 'lazy'}, random_state=0) model.fit(X_digits) assert_array_equal(model.ranking[:30], digits_sqrt_greedi_ranking[:30]) assert_array_almost_equal(model.gains[:30], digits_sqrt_greedi_gains[:30], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_sqrt_approximate(): model = FeatureBasedSelection(100, 'sqrt', optimizer='approximate-lazy') model.fit(X_digits) assert_array_equal(model.ranking, digits_sqrt_approx_ranking) assert_array_almost_equal(model.gains, digits_sqrt_approx_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_sqrt_stochastic(): model = FeatureBasedSelection(100, 'sqrt', optimizer='stochastic', random_state=0) model.fit(X_digits) assert_array_equal(model.ranking, digits_sqrt_stochastic_ranking) assert_array_almost_equal(model.gains, digits_sqrt_stochastic_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_sqrt_sample(): model = FeatureBasedSelection(100, 'sqrt', optimizer='sample', random_state=0) model.fit(X_digits) assert_array_equal(model.ranking, digits_sqrt_sample_ranking) assert_array_almost_equal(model.gains, digits_sqrt_sample_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_sqrt_modular(): model = FeatureBasedSelection(100, 'sqrt', optimizer='modular', random_state=0) model.fit(X_digits) assert_array_equal(model.ranking, digits_sqrt_modular_ranking) assert_array_almost_equal(model.gains, digits_sqrt_modular_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) # Using the partial_fit method def test_digits_sqrt_sieve_batch(): model = FeatureBasedSelection(100, 'sqrt', random_state=0) model.partial_fit(X_digits) assert_array_equal(model.ranking, digits_sqrt_sieve_ranking) assert_array_almost_equal(model.gains, digits_sqrt_sieve_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_sqrt_sieve_minibatch(): model = FeatureBasedSelection(100, 'sqrt', random_state=0) model.partial_fit(X_digits[:300]) model.partial_fit(X_digits[300:500]) model.partial_fit(X_digits[500:]) assert_array_equal(model.ranking, digits_sqrt_sieve_ranking) assert_array_almost_equal(model.gains, digits_sqrt_sieve_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_sqrt_sieve_batch_sparse(): model = FeatureBasedSelection(100, 'sqrt', random_state=0) model.partial_fit(X_digits_sparse) assert_array_equal(model.ranking, digits_sqrt_sieve_ranking) assert_array_almost_equal(model.gains, digits_sqrt_sieve_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_sqrt_sieve_minibatch_sparse(): model = FeatureBasedSelection(100, 'sqrt', random_state=0) model.partial_fit(X_digits_sparse[:300]) model.partial_fit(X_digits_sparse[300:500]) model.partial_fit(X_digits_sparse[500:]) assert_array_equal(model.ranking, digits_sqrt_sieve_ranking) assert_array_almost_equal(model.gains, digits_sqrt_sieve_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) # Using Optimizer Objects def test_digits_sqrt_naive_object(): model = FeatureBasedSelection(100, 'sqrt', optimizer=NaiveGreedy()) model.fit(X_digits) assert_array_equal(model.ranking, digits_sqrt_ranking) assert_array_almost_equal(model.gains, digits_sqrt_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_sqrt_lazy_object(): model = FeatureBasedSelection(100, 'sqrt', optimizer=LazyGreedy()) model.fit(X_digits) assert_array_equal(model.ranking, digits_sqrt_ranking) assert_array_almost_equal(model.gains, digits_sqrt_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_sqrt_two_stage_object(): model = FeatureBasedSelection(100, 'sqrt', optimizer=TwoStageGreedy()) model.fit(X_digits) assert_array_equal(model.ranking, digits_sqrt_ranking) assert_array_almost_equal(model.gains, digits_sqrt_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_sqrt_greedi_nn_object(): model = FeatureBasedSelection(100, 'sqrt', optimizer=GreeDi( optimizer1='naive', optimizer2='naive', random_state=0)) model.fit(X_digits) assert_array_equal(model.ranking, digits_sqrt_greedi_ranking) assert_array_almost_equal(model.gains, digits_sqrt_greedi_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_sqrt_greedi_ll_object(): model = FeatureBasedSelection(100, 'sqrt', optimizer=GreeDi( optimizer1='lazy', optimizer2='lazy', random_state=0)) model.fit(X_digits) assert_array_equal(model.ranking[:30], digits_sqrt_greedi_ranking[:30]) assert_array_almost_equal(model.gains[:30], digits_sqrt_greedi_gains[:30], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_sqrt_greedi_ln_object(): model = FeatureBasedSelection(100, 'sqrt', optimizer=GreeDi( optimizer1='lazy', optimizer2='naive', random_state=0)) model.fit(X_digits) assert_array_equal(model.ranking, digits_sqrt_greedi_ranking) assert_array_almost_equal(model.gains, digits_sqrt_greedi_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_sqrt_greedi_nl_object(): model = FeatureBasedSelection(100, 'sqrt', optimizer=GreeDi( optimizer1='naive', optimizer2='lazy', random_state=0)) model.fit(X_digits) assert_array_equal(model.ranking[:30], digits_sqrt_greedi_ranking[:30]) assert_array_almost_equal(model.gains[:30], digits_sqrt_greedi_gains[:30], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_sqrt_approximate_object(): model = FeatureBasedSelection(100, 'sqrt', optimizer=ApproximateLazyGreedy()) model.fit(X_digits) assert_array_equal(model.ranking, digits_sqrt_approx_ranking) assert_array_almost_equal(model.gains, digits_sqrt_approx_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_sqrt_stochastic_object(): model = FeatureBasedSelection(100, 'sqrt', optimizer=StochasticGreedy(random_state=0)) model.fit(X_digits) assert_array_equal(model.ranking, digits_sqrt_stochastic_ranking) assert_array_almost_equal(model.gains, digits_sqrt_stochastic_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_sqrt_sample_object(): model = FeatureBasedSelection(100, 'sqrt', optimizer=SampleGreedy(random_state=0)) model.fit(X_digits) assert_array_equal(model.ranking, digits_sqrt_sample_ranking) assert_array_almost_equal(model.gains, digits_sqrt_sample_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_sqrt_modular_object(): model = FeatureBasedSelection(100, 'sqrt', optimizer=ModularGreedy(random_state=0)) model.fit(X_digits) assert_array_equal(model.ranking, digits_sqrt_modular_ranking) assert_array_almost_equal(model.gains, digits_sqrt_modular_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) # Test all optimizers on sparse data def test_digits_sqrt_naive_sparse(): model = FeatureBasedSelection(100, 'sqrt', optimizer='naive') model.fit(X_digits_sparse) assert_array_equal(model.ranking, digits_sqrt_ranking) assert_array_almost_equal(model.gains, digits_sqrt_gains, 4) assert_array_almost_equal(model.subset, X_digits_sparse[model.ranking].toarray()) def test_digits_sqrt_lazy_sparse(): model = FeatureBasedSelection(100, 'sqrt', optimizer='lazy') model.fit(X_digits_sparse) assert_array_equal(model.ranking, digits_sqrt_ranking) assert_array_almost_equal(model.gains, digits_sqrt_gains, 4) assert_array_almost_equal(model.subset, X_digits_sparse[model.ranking].toarray()) def test_digits_sqrt_two_stage_sparse(): model = FeatureBasedSelection(100, 'sqrt', optimizer='two-stage') model.fit(X_digits_sparse) assert_array_equal(model.ranking, digits_sqrt_ranking) assert_array_almost_equal(model.gains, digits_sqrt_gains, 4) assert_array_almost_equal(model.subset, X_digits_sparse[model.ranking].toarray()) def test_digits_sqrt_greedi_nn_sparse(): model = FeatureBasedSelection(100, 'sqrt', optimizer='greedi', optimizer_kwds={'optimizer1': 'naive', 'optimizer2': 'naive'}, random_state=0) model.fit(X_digits_sparse) assert_array_equal(model.ranking, digits_sqrt_greedi_ranking) assert_array_almost_equal(model.gains, digits_sqrt_greedi_gains, 4) assert_array_almost_equal(model.subset, X_digits_sparse[model.ranking].toarray()) def test_digits_sqrt_greedi_ll_sparse(): model = FeatureBasedSelection(100, 'sqrt', optimizer='greedi', optimizer_kwds={'optimizer1': 'lazy', 'optimizer2': 'lazy'}, random_state=0) model.fit(X_digits_sparse) assert_array_equal(model.ranking[:30], digits_sqrt_greedi_ranking[:30]) assert_array_almost_equal(model.gains[:30], digits_sqrt_greedi_gains[:30], 4) assert_array_almost_equal(model.subset, X_digits_sparse[model.ranking].toarray()) def test_digits_sqrt_greedi_ln_sparse(): model = FeatureBasedSelection(100, 'sqrt', optimizer='greedi', optimizer_kwds={'optimizer1': 'lazy', 'optimizer2': 'naive'}, random_state=0) model.fit(X_digits_sparse) assert_array_equal(model.ranking, digits_sqrt_greedi_ranking) assert_array_almost_equal(model.gains, digits_sqrt_greedi_gains, 4) assert_array_almost_equal(model.subset, X_digits_sparse[model.ranking].toarray()) def test_digits_sqrt_greedi_nl_sparse(): model = FeatureBasedSelection(100, 'sqrt', optimizer='greedi', optimizer_kwds={'optimizer1': 'naive', 'optimizer2': 'lazy'}, random_state=0) model.fit(X_digits_sparse) assert_array_equal(model.ranking[:30], digits_sqrt_greedi_ranking[:30]) assert_array_almost_equal(model.gains[:30], digits_sqrt_greedi_gains[:30], 4) assert_array_almost_equal(model.subset, X_digits_sparse[model.ranking].toarray()) def test_digits_sqrt_approximate_sparse(): model = FeatureBasedSelection(100, 'sqrt', optimizer='approximate-lazy') model.fit(X_digits_sparse) assert_array_equal(model.ranking, digits_sqrt_approx_ranking) assert_array_almost_equal(model.gains, digits_sqrt_approx_gains, 4) assert_array_almost_equal(model.subset, X_digits_sparse[model.ranking].toarray()) def test_digits_sqrt_stochastic_sparse(): model = FeatureBasedSelection(100, 'sqrt', optimizer='stochastic', random_state=0) model.fit(X_digits_sparse) assert_array_equal(model.ranking, digits_sqrt_stochastic_ranking) assert_array_almost_equal(model.gains, digits_sqrt_stochastic_gains, 4) assert_array_almost_equal(model.subset, X_digits_sparse[model.ranking].toarray()) def test_digits_sqrt_sample_sparse(): model = FeatureBasedSelection(100, 'sqrt', optimizer='sample', random_state=0) model.fit(X_digits_sparse) assert_array_equal(model.ranking, digits_sqrt_sample_ranking) assert_array_almost_equal(model.gains, digits_sqrt_sample_gains, 4) assert_array_almost_equal(model.subset, X_digits_sparse[model.ranking].toarray()) def test_digits_sqrt_modular_sparse(): model = FeatureBasedSelection(100, 'sqrt', optimizer='modular', random_state=0) model.fit(X_digits_sparse) assert_array_equal(model.ranking, digits_sqrt_modular_ranking) assert_array_almost_equal(model.gains, digits_sqrt_modular_gains, 4) assert_array_almost_equal(model.subset, X_digits_sparse[model.ranking].toarray()) jmschrei-apricot-bf86e69/tests/test_functions/test_graph_cut.py000066400000000000000000000774611414554015600252320ustar00rootroot00000000000000import scipy import numpy try: import cupy except: import numpy as cupy from apricot import GraphCutSelection from apricot.optimizers import * from sklearn.datasets import load_digits from sklearn.metrics import pairwise_distances from numpy.testing import assert_almost_equal from numpy.testing import assert_array_equal from numpy.testing import assert_array_almost_equal digits_data = load_digits() X_digits = digits_data.data X_digits_cosine_sparse = scipy.sparse.csr_matrix((1 - pairwise_distances( X_digits, metric='cosine')) ** 2) X_digits_corr_cupy = cupy.array((1 - pairwise_distances( X_digits, metric='correlation')) ** 2) X_digits_cosine_cupy = cupy.array((1 - pairwise_distances( X_digits, metric='cosine')) ** 2) digits_corr_ranking = [424, 615, 148, 1363, 1747, 1030, 1766, 1327, 818, 1295, 1774, 509, 138, 945, 852, 255, 248, 402, 1709, 768, 899, 1069, 1658, 183, 890, 168, 452, 823, 923, 459, 269, 1325, 657, 514, 513, 1647, 426, 1040, 1320, 742, 478, 423, 814, 1071, 1632, 649, 1794, 903, 1423, 114, 301, 448, 1617, 1199, 978, 254, 339, 1340, 1781, 816, 491, 997, 898, 721, 1737, 913, 1346, 1688, 1323, 1668, 332, 249, 1757, 836, 1352, 1453, 74, 352, 1433, 761, 417, 102, 684, 1455, 508, 1796, 1752, 1409, 420, 1760, 505, 1276, 1563, 1639, 392, 76, 669, 846, 224, 1763] digits_corr_gains = [735.794, 726.5607, 721.8195, 715.1766, 711.618, 709.0691, 698.3998, 696.0352, 690.936, 687.2101, 684.367, 682.7395, 676.8297, 674.7931, 673.3689, 671.6063, 667.6284, 663.8161, 662.3284, 660.1142, 655.2069, 650.2657, 648.4204, 642.427, 637.9989, 636.6332, 633.1892, 631.9442, 630.7131, 628.8502, 627.4997, 625.146, 620.3857, 618.3749, 616.8959, 615.4579, 613.2892, 610.446, 608.9605, 605.785, 604.3117, 600.4383, 599.0397, 596.8669, 594.8858, 593.2829, 591.6467, 589.8474, 588.5694, 586.3158, 582.4899, 580.0048, 578.9603, 576.9437, 575.7387, 574.489, 573.2631, 572.0652, 570.6573, 567.4419, 566.0, 564.0186, 562.3914, 558.7558, 557.2309, 555.9309, 553.9387, 552.4717, 550.8894, 549.2331, 548.0805, 546.6924, 543.974, 542.8549, 541.7866, 540.7781, 539.306, 538.1135, 536.767, 535.111, 534.0093, 532.9543, 531.8669, 530.6082, 528.9325, 527.4136, 526.2152, 524.8406, 522.2271, 520.8602, 520.0685, 518.3558, 516.5727, 515.0325, 514.1975, 513.274, 512.0967, 511.0568, 509.8714, 508.1492] digits_euclidean_ranking = [945, 426, 923, 1026, 448, 1327, 114, 1423, 255, 1295, 148, 515, 1363, 1583, 699, 955, 1544, 547, 768, 404, 814, 296, 686, 607, 1491, 378, 459, 654, 1443, 737, 1433, 1455, 1058, 1637, 674, 254, 773, 293, 478, 816, 183, 1320, 482, 1658, 1453, 1040, 742, 651, 170, 1346, 394, 264, 1450, 120, 248, 1617, 269, 284, 1537, 1361, 1486, 274, 205, 505, 1763, 684, 829, 514, 1383, 1529, 53, 997, 40, 330, 405, 419, 1532, 933, 872, 508, 281, 544, 668, 335, 879, 521, 539, 328, 835, 1696, 1459, 1187, 836, 276, 697, 574, 1123, 899, 383, 339] digits_euclidean_gains = [7442701.0, 7427003.0, 7391866.0, 7322511.0, 7283372.0, 7264849.0, 7233653.0, 7221496.0, 7206855.0, 7194458.0, 7162928.0, 7149204.0, 7123578.0, 7094334.0, 7082878.0, 7072750.0, 7057546.0, 7046085.0, 7024055.0, 7013821.0, 6994383.0, 6983357.0, 6971936.0, 6947132.0, 6927637.0, 6916662.0, 6905791.0, 6895329.0, 6884316.0, 6869019.0, 6848647.0, 6836834.0, 6825512.0, 6816680.0, 6806097.0, 6790051.0, 6775976.0, 6761279.0, 6743658.0, 6733564.0, 6721609.0, 6705102.0, 6694665.0, 6684379.0, 6675061.0, 6664743.0, 6654607.0, 6642962.0, 6631890.0, 6619494.0, 6607142.0, 6597715.0, 6588550.0, 6576890.0, 6564869.0, 6555612.0, 6544766.0, 6535529.0, 6520758.0, 6511304.0, 6496512.0, 6486627.0, 6476195.0, 6466599.0, 6456078.0, 6445523.0, 6436816.0, 6425703.0, 6417178.0, 6407329.0, 6397208.0, 6386930.0, 6378182.0, 6369183.0, 6359381.0, 6348449.0, 6334670.0, 6324898.0, 6309631.0, 6298731.0, 6288283.0, 6279927.0, 6269136.0, 6255130.0, 6246085.0, 6234993.0, 6226342.0, 6212742.0, 6204657.0, 6193651.0, 6184202.0, 6174295.0, 6165640.0, 6155770.0, 6142794.0, 6133382.0, 6124361.0, 6114045.0, 6106200.0, 6095592.0] digits_cosine_ranking = [424, 148, 615, 1747, 1030, 1766, 818, 768, 1363, 509, 138, 1774, 1295, 402, 255, 852, 1709, 1069, 459, 248, 1327, 168, 890, 513, 899, 452, 945, 423, 183, 491, 923, 1658, 1325, 898, 478, 514, 742, 352, 823, 1040, 978, 903, 269, 1071, 426, 1796, 1781, 332, 657, 1794, 913, 814, 417, 1320, 505, 1340, 254, 1668, 649, 1433, 420, 1423, 684, 309, 1647, 1632, 301, 114, 1455, 1453, 1737, 224, 836, 854, 296, 500, 736, 1705, 1763, 1199, 997, 508, 339, 185, 1026, 693, 816, 1757, 1323, 448, 1596, 721, 76, 405, 419, 1276, 370, 669, 547, 686] digits_cosine_gains = [1125.631, 1116.4334, 1110.3619, 1107.8682, 1102.8639, 1100.1593, 1097.1171, 1087.324, 1084.6625, 1081.1638, 1073.9924, 1072.1571, 1068.9723, 1063.9841, 1060.8331, 1055.983, 1054.3242, 1052.2316, 1050.1474, 1047.3745, 1045.0676, 1043.2035, 1040.4963, 1037.9981, 1035.7395, 1026.7499, 1024.427, 1020.7876, 1017.7835, 1014.1761, 1012.3542, 1010.2475, 1005.8448, 1003.4457, 1001.7543, 999.2828, 995.1559, 993.3157, 991.6399, 989.7477, 988.3895, 986.3558, 984.3293, 981.7637, 978.3895, 976.4035, 974.3902, 972.3747, 968.5371, 965.7794, 964.0673, 961.4778, 959.5186, 957.8536, 955.7932, 952.7764, 951.3981, 949.5014, 947.7064, 945.6255, 943.8797, 942.2532, 938.6848, 936.8846, 934.2809, 932.5912, 930.9676, 928.0929, 926.5528, 923.4524, 921.9201, 920.488, 918.9356, 916.8895, 915.4592, 913.7898, 912.329, 910.635, 908.8096, 906.9795, 905.6998, 903.8216, 901.8546, 900.5586, 897.6146, 896.1891, 894.563, 893.1249, 891.6622, 890.0585, 888.5845, 887.2155, 885.1279, 883.9388, 882.1048, 880.3597, 878.6431, 876.9752, 875.6371, 873.2418] digits_cosine_greedi_ranking = [424, 148, 138, 1363, 768, 509, 945, 818, 1069, 1766, 1030, 513, 1747, 615, 1295, 183, 426, 248, 402, 923, 890, 168, 459, 899, 852, 978, 1327, 913, 1774, 514, 255, 478, 1709, 332, 1658, 814, 352, 1423, 452, 742, 423, 269, 1453, 1325, 903, 505, 420, 491, 1794, 898, 1320, 1455, 1781, 1433, 1340, 1796, 508, 649, 1323, 684, 823, 309, 301, 126, 657, 1759, 1668, 997, 1413, 419, 1040, 417, 669, 185, 1071, 1276, 412, 761, 1075, 1555, 1596, 1443, 55, 836, 1647, 457, 500, 1690, 693, 1532, 1385, 1199, 666, 700, 1393, 109, 17, 178, 1474, 407] digits_cosine_greedi_gains = [1125.631, 1116.4334, 1087.7212, 1093.3808, 1091.6622, 1087.8283, 1056.2655, 1096.2936, 1067.2725, 1093.8382, 1092.9129, 1056.0357, 1092.6489, 1091.7967, 1065.8791, 1038.2608, 1022.3374, 1050.4396, 1056.4113, 1028.7627, 1043.8886, 1043.4331, 1043.713, 1036.7286, 1041.9576, 1010.2869, 1036.2449, 998.2041, 1045.0749, 1008.026, 1035.4611, 1005.7826, 1030.4246, 992.4873, 1005.1995, 984.2387, 994.3666, 976.4607, 1007.983, 990.2323, 1000.6849, 985.0151, 962.7264, 989.9898, 982.1059, 967.6117, 962.8401, 987.1467, 968.8581, 979.2295, 961.9455, 950.3317, 966.8441, 952.4936, 955.5363, 961.4793, 939.8794, 947.9843, 931.9156, 943.1238, 961.481, 938.7155, 936.0861, 918.2042, 948.451, 916.9374, 938.5427, 923.1422, 901.0512, 915.0605, 947.6232, 931.8231, 910.7304, 911.7605, 940.6555, 905.9804, 900.3013, 899.7678, 899.6988, 884.6817, 904.1478, 892.203, 891.2392, 904.6856, 908.0614, 869.8637, 899.1515, 877.5662, 894.6796, 873.0077, 866.0964, 894.8458, 854.875, 854.2783, 869.7832, 847.8489, 848.853, 847.3636, 852.911, 853.4502] digits_cosine_approx_ranking = [424, 148, 615, 1747, 1030, 1766, 818, 1363, 768, 509, 1774, 138, 1295, 402, 255, 1069, 1709, 852, 248, 1327, 168, 459, 890, 513, 899, 945, 452, 183, 423, 923, 1658, 1325, 491, 898, 742, 478, 352, 514, 823, 1040, 978, 903, 426, 1071, 1796, 269, 1794, 332, 1781, 657, 913, 814, 1340, 417, 254, 505, 1668, 1320, 1423, 684, 1433, 309, 114, 649, 420, 1455, 1453, 1647, 224, 1632, 301, 736, 854, 1276, 185, 208, 1793, 1292, 508, 296, 1705, 1737, 836, 1763, 500, 1199, 997, 1026, 339, 370, 1757, 693, 816, 515, 1596, 76, 448, 721, 547, 686] digits_cosine_approx_gains = [1125.631, 1116.4334, 1110.3619, 1107.8682, 1102.8639, 1100.1593, 1097.1171, 1086.2541, 1085.7324, 1081.1638, 1073.9105, 1072.239, 1068.9723, 1063.9841, 1060.8331, 1055.5216, 1054.2243, 1052.793, 1048.8001, 1046.41, 1044.6319, 1045.951, 1040.4963, 1037.9981, 1035.7395, 1025.9212, 1025.2558, 1019.2028, 1019.3683, 1013.8661, 1011.5533, 1007.143, 1010.0601, 1003.4457, 998.0718, 1000.2861, 994.6949, 996.4559, 991.6399, 989.7477, 988.3895, 986.3558, 981.3256, 981.5793, 977.8471, 980.1341, 970.5337, 972.2543, 971.4356, 966.8578, 964.0673, 961.4778, 956.7136, 958.2845, 954.4666, 954.0279, 950.9149, 952.4338, 947.121, 942.7341, 943.9511, 939.795, 934.6246, 940.4561, 938.4522, 930.8145, 927.5731, 930.1666, 924.6783, 927.0749, 925.4307, 919.227, 918.0896, 909.8963, 911.2968, 899.4732, 888.9093, 848.1238, 908.8201, 909.2536, 907.2134, 907.3827, 906.0856, 902.7765, 901.9748, 900.5461, 897.8239, 894.334, 894.1257, 889.1623, 890.5617, 888.7265, 886.5046, 881.969, 883.4505, 881.6255, 880.4515, 879.048, 875.9963, 873.1088] digits_cosine_stochastic_ranking = [1081, 1014, 1386, 770, 567, 137, 723, 1491, 1274, 1492, 1728, 1456, 186, 1448, 386, 148, 891, 1759, 1424, 587, 191, 629, 1507, 1084, 1473, 946, 518, 638, 1739, 502, 1537, 1227, 689, 88, 238, 1667, 1785, 1067, 1461, 1222, 1099, 607, 364, 1572, 1195, 217, 1034, 208, 84, 1128, 425, 345, 626, 843, 1070, 83, 1449, 1071, 1644, 1392, 1415, 449, 802, 1348, 1553, 175, 1455, 1770, 1395, 1032, 879, 1220, 1137, 129, 754, 1695, 1459, 782, 549, 1069, 260, 834, 517, 919, 1622, 700, 424, 1685, 245, 1339, 1152, 1212, 1425, 937, 1665, 291, 1535, 701, 1508, 1219] digits_cosine_stochastic_gains = [888.4143, 781.137, 856.3156, 787.955, 773.3167, 827.71, 986.3862, 956.4199, 667.7336, 776.868, 856.7735, 858.0485, 818.324, 910.3328, 870.9962, 1100.4359, 708.5786, 990.574, 850.8497, 863.0931, 727.5691, 828.9658, 905.8869, 845.6085, 738.0446, 678.4423, 874.6345, 798.1879, 859.7738, 805.9624, 973.1491, 932.2754, 637.4778, 855.48, 777.0772, 891.683, 860.8551, 903.0456, 869.4836, 766.5354, 813.5212, 894.7277, 782.0428, 618.4067, 698.4122, 829.9252, 816.9094, 948.5656, 794.3189, 798.9629, 903.9878, 909.2711, 818.3321, 847.4914, 698.4663, 774.6571, 829.7503, 983.0712, 872.7514, 820.6512, 802.6295, 886.4731, 921.4248, 797.2285, 826.6073, 836.9943, 953.0235, 816.3766, 825.6897, 772.3176, 877.6755, 749.0967, 685.71, 820.6807, 761.6934, 895.603, 886.0917, 842.0685, 813.2238, 985.6058, 730.3218, 874.5984, 693.6079, 673.7955, 776.3912, 887.0244, 1017.1941, 737.4462, 682.0124, 695.4844, 722.5289, 758.2748, 813.6412, 768.5648, 708.7639, 711.0829, 821.8991, 841.0228, 578.404, 702.5032] digits_cosine_sample_ranking = [424, 615, 1747, 1030, 1766, 818, 768, 509, 138, 1774, 1295, 255, 1709, 852, 1069, 248, 1327, 168, 890, 945, 423, 183, 491, 923, 1658, 1325, 478, 898, 514, 742, 352, 978, 1040, 823, 903, 269, 1071, 426, 1796, 1781, 332, 1794, 913, 814, 417, 505, 1340, 1668, 420, 1423, 684, 309, 1647, 301, 1632, 1455, 114, 1453, 224, 836, 1705, 1737, 500, 296, 854, 736, 997, 1763, 508, 1199, 339, 185, 1026, 816, 448, 693, 1323, 1596, 721, 405, 370, 419, 547, 669, 1276, 686, 515, 1678, 1726, 1075, 126, 1736, 1759, 55, 1284, 453, 74, 208, 846, 1688] digits_cosine_sample_gains = [1125.631, 1112.1054, 1109.5919, 1104.5383, 1101.9147, 1098.9042, 1089.1292, 1084.6301, 1077.5023, 1075.5393, 1072.5927, 1065.9065, 1060.9657, 1059.2536, 1057.2829, 1053.8439, 1051.4471, 1049.5608, 1046.7694, 1035.7797, 1031.4609, 1028.9188, 1025.0066, 1023.4309, 1020.5899, 1016.1487, 1013.9896, 1012.147, 1010.0649, 1005.8841, 1004.0312, 1002.0633, 1000.7069, 998.737, 996.8234, 994.5026, 991.8834, 989.7757, 987.5829, 985.0698, 983.2949, 978.4616, 976.4386, 973.6725, 971.1713, 968.7036, 965.7687, 964.1585, 962.109, 960.4553, 956.461, 954.6824, 952.2032, 949.9055, 947.9428, 946.1786, 943.8165, 941.9986, 939.6877, 937.4197, 935.6647, 934.1413, 932.6361, 930.9798, 929.4286, 927.5936, 926.1213, 924.6194, 923.0118, 920.6783, 919.2436, 917.1787, 915.6507, 913.3613, 911.4307, 910.2685, 908.513, 906.8863, 905.2225, 903.4884, 902.1355, 900.4484, 898.2079, 896.8174, 895.2279, 893.788, 891.955, 890.5398, 888.3937, 886.4727, 884.9978, 883.2743, 880.9702, 879.3279, 877.1812, 875.8943, 874.1455, 872.718, 870.9218, 868.8899] digits_cosine_modular_ranking = [424, 148, 615, 1747, 1030, 1766, 818, 1363, 768, 509, 1774, 138, 1295, 402, 255, 1069, 1709, 852, 248, 1327, 168, 459, 890, 513, 899, 945, 452, 183, 423, 923, 1658, 1325, 491, 898, 742, 478, 352, 514, 823, 1040, 978, 903, 426, 1071, 1796, 269, 1794, 332, 1781, 657, 913, 814, 1340, 417, 254, 505, 1668, 1320, 1423, 684, 1433, 309, 114, 649, 420, 1455, 1453, 1647, 508, 224, 1632, 1705, 1763, 296, 301, 1737, 515, 836, 370, 1026, 997, 500, 1199, 736, 686, 1596, 76, 1757, 816, 693, 448, 339, 547, 721, 1726, 1678, 854, 405, 249, 1323] digits_cosine_modular_gains = [1125.631, 1116.4334, 1110.3619, 1107.8682, 1102.8639, 1100.1593, 1097.1171, 1086.2541, 1085.7324, 1081.1638, 1073.9105, 1072.239, 1068.9723, 1063.9841, 1060.8331, 1055.5216, 1054.2243, 1052.793, 1048.8001, 1046.41, 1044.6319, 1045.951, 1040.4963, 1037.9981, 1035.7395, 1025.9212, 1025.2558, 1019.2028, 1019.3683, 1013.8661, 1011.5533, 1007.143, 1010.0601, 1003.4457, 998.0718, 1000.2861, 994.6949, 996.4559, 991.6399, 989.7477, 988.3895, 986.3558, 981.3256, 981.5793, 977.8471, 980.1341, 970.5337, 972.2543, 971.4356, 966.8578, 964.0673, 961.4778, 956.7136, 958.2845, 954.4666, 954.0279, 950.9149, 952.4338, 947.121, 942.7341, 943.9511, 939.795, 934.6246, 940.4561, 938.4522, 930.8145, 927.5731, 930.1666, 922.4757, 923.1952, 925.632, 919.0591, 917.1706, 915.9749, 920.2326, 914.6434, 906.1495, 911.6033, 903.4789, 904.1017, 904.6866, 904.6973, 903.5333, 902.7549, 893.5594, 894.73, 892.61, 892.637, 891.8303, 889.754, 888.8964, 889.4109, 883.4413, 883.4955, 879.0293, 877.3982, 887.7923, 879.2123, 867.5755, 877.9051] # Test some similarity functions def test_digits_euclidean_naive(): model = GraphCutSelection(100, 'euclidean', optimizer='naive') model.fit(X_digits) assert_array_equal(model.ranking, digits_euclidean_ranking) assert_array_almost_equal(model.gains, digits_euclidean_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_euclidean_lazy(): model = GraphCutSelection(100, 'euclidean', optimizer='lazy') model.fit(X_digits) assert_array_equal(model.ranking, digits_euclidean_ranking) assert_array_almost_equal(model.gains, digits_euclidean_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_euclidean_two_stage(): model = GraphCutSelection(100, 'euclidean', optimizer='two-stage') model.fit(X_digits) assert_array_equal(model.ranking, digits_euclidean_ranking) assert_array_almost_equal(model.gains, digits_euclidean_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_corr_naive(): model = GraphCutSelection(100, 'corr', optimizer='naive') model.fit(X_digits) assert_array_equal(model.ranking, digits_corr_ranking) assert_array_almost_equal(model.gains, digits_corr_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_corr_lazy(): model = GraphCutSelection(100, 'corr', optimizer='lazy') model.fit(X_digits) assert_array_equal(model.ranking, digits_corr_ranking) assert_array_almost_equal(model.gains, digits_corr_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_corr_two_stage(): model = GraphCutSelection(100, 'corr', optimizer='two-stage') model.fit(X_digits) assert_array_equal(model.ranking, digits_corr_ranking) assert_array_almost_equal(model.gains, digits_corr_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_naive(): model = GraphCutSelection(100, 'cosine', optimizer='naive') model.fit(X_digits) assert_array_equal(model.ranking, digits_cosine_ranking) assert_array_almost_equal(model.gains, digits_cosine_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_lazy(): model = GraphCutSelection(100, 'cosine', optimizer='lazy') model.fit(X_digits) assert_array_equal(model.ranking, digits_cosine_ranking) assert_array_almost_equal(model.gains, digits_cosine_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_two_stage(): model = GraphCutSelection(100, 'cosine', optimizer='two-stage') model.fit(X_digits) assert_array_equal(model.ranking, digits_cosine_ranking) assert_array_almost_equal(model.gains, digits_cosine_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_precomputed_naive(): model = GraphCutSelection(100, 'precomputed', optimizer='naive') model.fit(X_digits_corr_cupy) assert_array_equal(model.ranking, digits_corr_ranking) assert_array_almost_equal(model.gains, digits_corr_gains, 4) def test_digits_precomputed_lazy(): model = GraphCutSelection(100, 'precomputed', optimizer='lazy') model.fit(X_digits_corr_cupy) assert_array_equal(model.ranking, digits_corr_ranking) assert_array_almost_equal(model.gains, digits_corr_gains, 4) def test_digits_precomputed_two_stage(): model = GraphCutSelection(100, 'precomputed', optimizer='two-stage') model.fit(X_digits_corr_cupy) assert_array_equal(model.ranking, digits_corr_ranking) assert_array_almost_equal(model.gains, digits_corr_gains, 4) # Test with initialization def test_digits_euclidean_naive_init(): model = GraphCutSelection(100, 'euclidean', optimizer='naive', initial_subset=digits_euclidean_ranking[:5]) model.fit(X_digits) assert_array_equal(model.ranking[:20], digits_euclidean_ranking[5:25]) assert_array_almost_equal(model.gains[:20], digits_euclidean_gains[5:25], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_euclidean_lazy_init(): model = GraphCutSelection(100, 'euclidean', optimizer='lazy', initial_subset=digits_euclidean_ranking[:5]) model.fit(X_digits) assert_array_equal(model.ranking[:-5], digits_euclidean_ranking[5:]) assert_array_almost_equal(model.gains[:-5], digits_euclidean_gains[5:], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_euclidean_two_stage_init(): model = GraphCutSelection(100, 'euclidean', optimizer='two-stage', initial_subset=digits_euclidean_ranking[:5]) model.fit(X_digits) assert_array_equal(model.ranking[:-5], digits_euclidean_ranking[5:]) assert_array_almost_equal(model.gains[:-5], digits_euclidean_gains[5:], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_corr_naive_init(): model = GraphCutSelection(100, 'corr', optimizer='naive', initial_subset=digits_corr_ranking[:5]) model.fit(X_digits) assert_array_equal(model.ranking[:-5], digits_corr_ranking[5:]) assert_array_almost_equal(model.gains[:-5], digits_corr_gains[5:], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_corr_lazy_init(): model = GraphCutSelection(100, 'corr', optimizer='lazy', initial_subset=digits_corr_ranking[:5]) model.fit(X_digits) assert_array_equal(model.ranking[:-5], digits_corr_ranking[5:]) assert_array_almost_equal(model.gains[:-5], digits_corr_gains[5:], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_corr_two_stage_init(): model = GraphCutSelection(100, 'corr', optimizer='two-stage', initial_subset=digits_corr_ranking[:5]) model.fit(X_digits) assert_array_equal(model.ranking[:-5], digits_corr_ranking[5:]) assert_array_almost_equal(model.gains[:-5], digits_corr_gains[5:], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_naive_init(): model = GraphCutSelection(100, 'cosine', optimizer='naive', initial_subset=digits_cosine_ranking[:5]) model.fit(X_digits) assert_array_equal(model.ranking[:-5], digits_cosine_ranking[5:]) assert_array_almost_equal(model.gains[:-5], digits_cosine_gains[5:], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_lazy_init(): model = GraphCutSelection(100, 'cosine', optimizer='lazy', initial_subset=digits_cosine_ranking[:5]) model.fit(X_digits) assert_array_equal(model.ranking[:-5], digits_cosine_ranking[5:]) assert_array_almost_equal(model.gains[:-5], digits_cosine_gains[5:], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_two_stage_init(): model = GraphCutSelection(100, 'cosine', optimizer='two-stage', initial_subset=digits_cosine_ranking[:5]) model.fit(X_digits) assert_array_equal(model.ranking[:-5], digits_cosine_ranking[5:]) assert_array_almost_equal(model.gains[:-5], digits_cosine_gains[5:], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_precomputed_naive_init(): model = GraphCutSelection(100, 'precomputed', optimizer='naive', initial_subset=digits_cosine_ranking[:5]) model.fit(X_digits_cosine_cupy) assert_array_equal(model.ranking[:-5], digits_cosine_ranking[5:]) assert_array_almost_equal(model.gains[:-5], digits_cosine_gains[5:], 4) def test_digits_precomputed_lazy_init(): model = GraphCutSelection(100, 'precomputed', optimizer='lazy', initial_subset=digits_cosine_ranking[:5]) model.fit(X_digits_cosine_cupy) assert_array_equal(model.ranking[:-5], digits_cosine_ranking[5:]) assert_array_almost_equal(model.gains[:-5], digits_cosine_gains[5:], 4) def test_digits_precomputed_two_stage_init(): model = GraphCutSelection(100, 'precomputed', optimizer='two-stage', initial_subset=digits_cosine_ranking[:5]) model.fit(X_digits_cosine_cupy) assert_array_equal(model.ranking[:-5], digits_cosine_ranking[5:]) assert_array_almost_equal(model.gains[:-5], digits_cosine_gains[5:], 4) # Test all optimizers def test_digits_cosine_greedi_nn(): model = GraphCutSelection(100, 'cosine', optimizer='greedi', optimizer_kwds={'optimizer1': 'naive', 'optimizer2': 'naive'}, random_state=0) model.fit(X_digits) assert_array_equal(model.ranking[:50], digits_cosine_greedi_ranking[:50]) assert_array_almost_equal(model.gains[:50], digits_cosine_greedi_gains[:50], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_greedi_ll(): model = GraphCutSelection(100, 'cosine', optimizer='greedi', optimizer_kwds={'optimizer1': 'lazy', 'optimizer2': 'lazy'}, random_state=0) model.fit(X_digits) assert_array_equal(model.ranking[:30], digits_cosine_greedi_ranking[:30]) assert_array_almost_equal(model.gains[:30], digits_cosine_greedi_gains[:30], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_greedi_ln(): model = GraphCutSelection(100, 'cosine', optimizer='greedi', optimizer_kwds={'optimizer1': 'lazy', 'optimizer2': 'naive'}, random_state=0) model.fit(X_digits) assert_array_equal(model.ranking, digits_cosine_greedi_ranking) assert_array_almost_equal(model.gains, digits_cosine_greedi_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_greedi_nl(): model = GraphCutSelection(100, 'cosine', optimizer='greedi', optimizer_kwds={'optimizer1': 'naive', 'optimizer2': 'lazy'}, random_state=0) model.fit(X_digits) assert_array_equal(model.ranking[:30], digits_cosine_greedi_ranking[:30]) assert_array_almost_equal(model.gains[:30], digits_cosine_greedi_gains[:30], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_approximate(): model = GraphCutSelection(100, 'cosine', optimizer='approximate-lazy') model.fit(X_digits) assert_array_equal(model.ranking, digits_cosine_approx_ranking) assert_array_almost_equal(model.gains, digits_cosine_approx_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_stochastic(): model = GraphCutSelection(100, 'cosine', optimizer='stochastic', random_state=0) model.fit(X_digits) assert_array_equal(model.ranking, digits_cosine_stochastic_ranking) assert_array_almost_equal(model.gains, digits_cosine_stochastic_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_sample(): model = GraphCutSelection(100, 'cosine', optimizer='sample', random_state=0) model.fit(X_digits) assert_array_equal(model.ranking, digits_cosine_sample_ranking) assert_array_almost_equal(model.gains, digits_cosine_sample_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_modular(): model = GraphCutSelection(100, 'cosine', optimizer='modular', random_state=0) model.fit(X_digits) assert_array_equal(model.ranking, digits_cosine_modular_ranking) assert_array_almost_equal(model.gains, digits_cosine_modular_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) # Using Optimizer Objects def test_digits_cosine_naive_object(): model = GraphCutSelection(100, 'cosine', optimizer=NaiveGreedy()) model.fit(X_digits) assert_array_equal(model.ranking, digits_cosine_ranking) assert_array_almost_equal(model.gains, digits_cosine_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_lazy_object(): model = GraphCutSelection(100, 'cosine', optimizer=LazyGreedy()) model.fit(X_digits) assert_array_equal(model.ranking, digits_cosine_ranking) assert_array_almost_equal(model.gains, digits_cosine_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_two_stage_object(): model = GraphCutSelection(100, 'cosine', optimizer=TwoStageGreedy()) model.fit(X_digits) assert_array_equal(model.ranking, digits_cosine_ranking) assert_array_almost_equal(model.gains, digits_cosine_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_greedi_nn_object(): model = GraphCutSelection(100, 'cosine', optimizer=GreeDi( optimizer1='naive', optimizer2='naive', random_state=0)) model.fit(X_digits) assert_array_equal(model.ranking, digits_cosine_greedi_ranking) assert_array_almost_equal(model.gains, digits_cosine_greedi_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_greedi_ll_object(): model = GraphCutSelection(100, 'cosine', optimizer=GreeDi( optimizer1='lazy', optimizer2='lazy', random_state=0)) model.fit(X_digits) assert_array_equal(model.ranking[:30], digits_cosine_greedi_ranking[:30]) assert_array_almost_equal(model.gains[:30], digits_cosine_greedi_gains[:30], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_greedi_ln_object(): model = GraphCutSelection(100, 'cosine', optimizer=GreeDi( optimizer1='lazy', optimizer2='naive', random_state=0)) model.fit(X_digits) assert_array_equal(model.ranking, digits_cosine_greedi_ranking) assert_array_almost_equal(model.gains, digits_cosine_greedi_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_greedi_nl_object(): model = GraphCutSelection(100, 'cosine', optimizer=GreeDi( optimizer1='naive', optimizer2='lazy', random_state=0)) model.fit(X_digits) assert_array_equal(model.ranking[:30], digits_cosine_greedi_ranking[:30]) assert_array_almost_equal(model.gains[:30], digits_cosine_greedi_gains[:30], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_approximate_object(): model = GraphCutSelection(100, 'cosine', optimizer=ApproximateLazyGreedy()) model.fit(X_digits) assert_array_equal(model.ranking, digits_cosine_approx_ranking) assert_array_almost_equal(model.gains, digits_cosine_approx_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_stochastic_object(): model = GraphCutSelection(100, 'cosine', optimizer=StochasticGreedy(random_state=0)) model.fit(X_digits) assert_array_equal(model.ranking, digits_cosine_stochastic_ranking) assert_array_almost_equal(model.gains, digits_cosine_stochastic_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_sample_object(): model = GraphCutSelection(100, 'cosine', optimizer=SampleGreedy(random_state=0)) model.fit(X_digits) assert_array_equal(model.ranking, digits_cosine_sample_ranking) assert_array_almost_equal(model.gains, digits_cosine_sample_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_sqrt_modular_object(): model = GraphCutSelection(100, 'cosine', optimizer=ModularGreedy(random_state=0)) model.fit(X_digits) assert_array_equal(model.ranking, digits_cosine_modular_ranking) assert_array_almost_equal(model.gains, digits_cosine_modular_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) # Test all optimizers on sparse data def test_digits_cosine_naive_sparse(): model = GraphCutSelection(100, 'precomputed', optimizer='naive') model.fit(X_digits_cosine_sparse) assert_array_equal(model.ranking, digits_cosine_ranking) assert_array_almost_equal(model.gains, digits_cosine_gains, 4) def test_digits_cosine_lazy_sparse(): model = GraphCutSelection(100, 'precomputed', optimizer='lazy') model.fit(X_digits_cosine_sparse) assert_array_equal(model.ranking, digits_cosine_ranking) assert_array_almost_equal(model.gains, digits_cosine_gains, 4) def test_digits_cosine_two_stage_sparse(): model = GraphCutSelection(100, 'precomputed', optimizer='two-stage') model.fit(X_digits_cosine_sparse) assert_array_equal(model.ranking, digits_cosine_ranking) assert_array_almost_equal(model.gains, digits_cosine_gains, 4) def test_digits_cosine_greedi_nn_sparse(): model = GraphCutSelection(100, 'precomputed', optimizer='greedi', optimizer_kwds={'optimizer1': 'naive', 'optimizer2': 'naive'}, random_state=0) model.fit(X_digits_cosine_sparse) assert_array_equal(model.ranking, digits_cosine_greedi_ranking) assert_array_almost_equal(model.gains, digits_cosine_greedi_gains, 4) def test_digits_cosine_greedi_ll_sparse(): model = GraphCutSelection(100, 'precomputed', optimizer='greedi', optimizer_kwds={'optimizer1': 'lazy', 'optimizer2': 'lazy'}, random_state=0) model.fit(X_digits_cosine_sparse) assert_array_equal(model.ranking[:30], digits_cosine_greedi_ranking[:30]) assert_array_almost_equal(model.gains[:30], digits_cosine_greedi_gains[:30], 4) def test_digits_cosine_greedi_ln_sparse(): model = GraphCutSelection(100, 'precomputed', optimizer='greedi', optimizer_kwds={'optimizer1': 'lazy', 'optimizer2': 'naive'}, random_state=0) model.fit(X_digits_cosine_sparse) assert_array_equal(model.ranking, digits_cosine_greedi_ranking) assert_array_almost_equal(model.gains, digits_cosine_greedi_gains, 4) def test_digits_cosine_greedi_nl_sparse(): model = GraphCutSelection(100, 'precomputed', optimizer='greedi', optimizer_kwds={'optimizer1': 'naive', 'optimizer2': 'lazy'}, random_state=0) model.fit(X_digits_cosine_sparse) assert_array_equal(model.ranking[:30], digits_cosine_greedi_ranking[:30]) assert_array_almost_equal(model.gains[:30], digits_cosine_greedi_gains[:30], 4) def test_digits_cosine_approximate_sparse(): model = GraphCutSelection(100, 'precomputed', optimizer='approximate-lazy') model.fit(X_digits_cosine_sparse) assert_array_equal(model.ranking, digits_cosine_approx_ranking) assert_array_almost_equal(model.gains, digits_cosine_approx_gains, 4) def test_digits_cosine_stochastic_sparse(): model = GraphCutSelection(100, 'precomputed', optimizer='stochastic', random_state=0) model.fit(X_digits_cosine_sparse) assert_array_equal(model.ranking, digits_cosine_stochastic_ranking) assert_array_almost_equal(model.gains, digits_cosine_stochastic_gains, 4) def test_digits_cosine_sample_sparse(): model = GraphCutSelection(100, 'precomputed', optimizer='sample', random_state=0) model.fit(X_digits_cosine_sparse) assert_array_equal(model.ranking, digits_cosine_sample_ranking) assert_array_almost_equal(model.gains, digits_cosine_sample_gains, 4) def test_digits_sqrt_modular_sparse(): model = GraphCutSelection(100, 'precomputed', optimizer='modular', random_state=0) model.fit(X_digits_cosine_sparse) assert_array_equal(model.ranking, digits_cosine_modular_ranking) assert_array_almost_equal(model.gains, digits_cosine_modular_gains, 4) jmschrei-apricot-bf86e69/tests/test_functions/test_max_coverage.py000066400000000000000000000531561414554015600257110ustar00rootroot00000000000000import scipy import numpy from apricot import MaxCoverageSelection from apricot.optimizers import * from sklearn.datasets import load_digits from sklearn.metrics import pairwise_distances from numpy.testing import assert_almost_equal from numpy.testing import assert_array_equal from numpy.testing import assert_array_almost_equal #print("[" + ", ".join(map(str, model.ranking)) + "]") #print("[" + ", ".join([str(round(gain, 4)) for gain in model.gains]) + "]") numpy.random.seed(0) X_digits = numpy.random.choice(2, size=(300, 1000), p=[0.99, 0.01]) X_digits = numpy.array(X_digits, dtype='float64') X_digits_sparse = scipy.sparse.csr_matrix(X_digits) digits_ranking = [135, 260, 89, 168, 203, 6, 62, 139, 86, 274, 78, 146, 138, 158, 193, 60, 71, 77, 256, 184, 23, 125, 155, 194, 280, 93, 212, 167, 201, 206, 38, 26, 101, 64, 11, 162, 225, 49, 50, 289, 103, 254, 7, 21, 227, 178, 81, 127, 161, 174, 186, 177, 107, 271, 121, 251, 236, 279, 272, 37, 252, 102, 219, 229, 283, 133, 207, 73, 43, 297, 273, 85, 137, 263, 74, 87, 96, 32, 134, 36, 31, 149, 287, 169, 209, 30, 24, 152, 10, 117, 241, 222, 284, 240, 141, 218, 136, 235, 269, 270] digits_gains = [20.0, 19.0, 18.0, 17.0, 17.0, 16.0, 16.0, 16.0, 15.0, 15.0, 14.0, 14.0, 13.0, 13.0, 13.0, 12.0, 12.0, 12.0, 12.0, 12.0, 11.0, 11.0, 11.0, 11.0, 11.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 3.0, 3.0, 3.0, 3.0, 3.0] digits_greedi_ranking = [135, 260, 276, 89, 62, 6, 203, 274, 280, 56, 139, 78, 193, 71, 138, 176, 158, 23, 178, 251, 243, 206, 153, 225, 15, 282, 184, 125, 162, 18, 38, 167, 41, 270, 160, 201, 279, 9, 145, 209, 73, 106, 70, 66, 241, 207, 155, 186, 11, 68, 214, 179, 254, 236, 90, 114, 219, 177, 127, 85, 228, 148, 107, 250, 143, 31, 194, 26, 227, 133, 287, 67, 208, 271, 233, 146, 297, 161, 24, 229, 272, 3, 21, 275, 108, 130, 277, 284, 121, 27, 40, 87, 97, 29, 291, 256, 190, 217, 75, 10] digits_greedi_gains = [20.0, 19.0, 18.0, 17.0, 16.0, 16.0, 16.0, 15.0, 15.0, 14.0, 13.0, 13.0, 13.0, 13.0, 13.0, 13.0, 13.0, 12.0, 12.0, 11.0, 11.0, 11.0, 11.0, 11.0, 11.0, 11.0, 11.0, 10.0, 10.0, 10.0, 10.0, 10.0, 9.0, 9.0, 9.0, 9.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0] digits_approx_ranking = [135, 260, 89, 168, 203, 6, 139, 62, 86, 78, 274, 146, 15, 60, 71, 178, 193, 280, 138, 158, 184, 125, 194, 207, 77, 251, 23, 206, 282, 7, 26, 162, 18, 41, 64, 167, 201, 212, 9, 38, 103, 224, 279, 236, 272, 56, 127, 283, 81, 248, 141, 179, 227, 155, 43, 133, 140, 174, 237, 241, 169, 177, 214, 172, 229, 252, 228, 161, 32, 240, 114, 69, 254, 112, 263, 244, 36, 11, 101, 122, 297, 98, 96, 21, 288, 117, 67, 108, 271, 292, 137, 31, 246, 149, 270, 275, 115, 87, 121, 218] digits_approx_gains = [20.0, 19.0, 18.0, 17.0, 17.0, 16.0, 16.0, 16.0, 15.0, 14.0, 15.0, 14.0, 12.0, 12.0, 12.0, 12.0, 13.0, 12.0, 12.0, 13.0, 12.0, 11.0, 11.0, 11.0, 11.0, 10.0, 11.0, 10.0, 10.0, 10.0, 9.0, 10.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 3.0, 3.0, 3.0, 3.0] digits_stochastic_ranking = [208, 149, 145, 285, 205, 124, 48, 160, 161, 179, 248, 200, 84, 284, 78, 183, 27, 79, 60, 19, 253, 83, 209, 281, 286, 94, 126, 8, 210, 180, 292, 25, 88, 41, 98, 172, 165, 58, 188, 224, 159, 153, 121, 207, 135, 270, 152, 251, 240, 191, 185, 44, 102, 50, 202, 157, 26, 173, 193, 247, 110, 9, 130, 263, 260, 182, 115, 17, 268, 294, 189, 24, 99, 250, 272, 86, 299, 101, 232, 132, 216, 227, 49, 37, 56, 269, 231, 54, 109, 258, 255, 241, 206, 221, 222, 4, 178, 236, 297, 244] digits_stochastic_gains = [8.0, 7.0, 11.0, 8.0, 7.0, 7.0, 7.0, 12.0, 13.0, 11.0, 9.0, 4.0, 10.0, 11.0, 13.0, 7.0, 11.0, 8.0, 11.0, 10.0, 6.0, 9.0, 8.0, 5.0, 6.0, 7.0, 7.0, 2.0, 5.0, 11.0, 8.0, 4.0, 6.0, 9.0, 8.0, 8.0, 8.0, 6.0, 7.0, 8.0, 4.0, 8.0, 8.0, 11.0, 14.0, 8.0, 5.0, 7.0, 7.0, 8.0, 6.0, 3.0, 5.0, 6.0, 9.0, 2.0, 4.0, 5.0, 8.0, 4.0, 3.0, 5.0, 5.0, 4.0, 8.0, 6.0, 6.0, 5.0, 6.0, 2.0, 1.0, 4.0, 3.0, 8.0, 2.0, 10.0, 8.0, 4.0, 1.0, 7.0, 6.0, 5.0, 3.0, 5.0, 5.0, 3.0, 2.0, 1.0, 4.0, 0.0, 1.0, 4.0, 7.0, 1.0, 3.0, 2.0, 6.0, 8.0, 3.0, 5.0] digits_sample_ranking = [135, 260, 89, 276, 203, 62, 6, 168, 280, 274, 139, 78, 193, 138, 158, 176, 146, 23, 71, 178, 38, 243, 251, 282, 287, 7, 18, 41, 167, 114, 75, 66, 217, 26, 254, 64, 115, 155, 207, 1, 279, 73, 11, 70, 106, 236, 9, 292, 51, 141, 227, 297, 148, 186, 21, 125, 36, 80, 219, 133, 209, 269, 85, 145, 179, 283, 107, 43, 271, 143, 86, 288, 29, 201, 153, 284, 241, 17, 156, 68, 31, 177, 32, 10, 56, 130, 137, 127, 67, 252, 214, 266, 197, 151, 291, 27, 14, 79, 150, 237] digits_sample_gains = [20.0, 19.0, 18.0, 17.0, 16.0, 16.0, 16.0, 15.0, 14.0, 14.0, 14.0, 14.0, 13.0, 13.0, 13.0, 13.0, 12.0, 12.0, 12.0, 12.0, 11.0, 11.0, 11.0, 11.0, 11.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0] digits_modular_ranking = [135, 260, 276, 168, 89, 203, 139, 6, 274, 62, 214, 146, 280, 86, 38, 31, 138, 158, 246, 176, 78, 184, 207, 75, 23, 162, 56, 77, 206, 287, 106, 297, 71, 15, 236, 178, 60, 217, 161, 160, 282, 11, 169, 66, 256, 275, 18, 96, 68, 72, 272, 193, 227, 194, 225, 53, 179, 70, 125, 115, 201, 202, 212, 64, 186, 121, 83, 270, 101, 41, 141, 27, 261, 16, 97, 143, 153, 249, 196, 167, 284, 233, 10, 241, 87, 43, 269, 46, 180, 136, 134, 82, 85, 165, 116, 177, 145, 103, 133, 155] digits_modular_gains = [20.0, 19.0, 18.0, 15.0, 17.0, 16.0, 14.0, 16.0, 14.0, 16.0, 11.0, 13.0, 13.0, 12.0, 12.0, 11.0, 13.0, 12.0, 10.0, 9.0, 13.0, 10.0, 11.0, 9.0, 11.0, 8.0, 7.0, 9.0, 10.0, 11.0, 8.0, 8.0, 8.0, 8.0, 8.0, 10.0, 8.0, 5.0, 7.0, 7.0, 10.0, 6.0, 8.0, 6.0, 7.0, 6.0, 8.0, 5.0, 6.0, 7.0, 3.0, 10.0, 6.0, 7.0, 9.0, 2.0, 6.0, 5.0, 7.0, 4.0, 6.0, 4.0, 5.0, 7.0, 4.0, 4.0, 6.0, 8.0, 4.0, 4.0, 6.0, 2.0, 5.0, 2.0, 6.0, 5.0, 3.0, 3.0, 2.0, 6.0, 1.0, 5.0, 6.0, 6.0, 4.0, 6.0, 2.0, 3.0, 2.0, 4.0, 3.0, 1.0, 5.0, 1.0, 5.0, 4.0, 3.0, 5.0, 4.0, 2.0] digits_sieve_ranking = [0, 1, 2, 3, 6, 7, 9, 10, 11, 15, 16, 17, 18, 19, 21, 23, 26, 27, 29, 31, 36, 37, 38, 39, 40, 41, 43, 46, 48, 52, 53, 56, 59, 60, 62, 64, 66, 67, 68, 69, 70, 71, 72, 75, 77, 78, 80, 82, 84, 86, 89, 96, 97, 103, 106, 115, 116, 117, 121, 125, 133, 134, 135, 138, 139, 140, 143, 146, 150, 156, 158, 167, 177, 178, 186, 193, 194, 198, 201, 203, 207, 209, 218, 219, 224, 225, 227, 236, 240, 251, 270, 271, 274, 275, 280, 287, 289, 291, 292, 293] digits_sieve_gains = [9.0, 11.0, 9.0, 9.0, 17.0, 10.0, 11.0, 11.0, 12.0, 12.0, 11.0, 10.0, 11.0, 8.0, 9.0, 14.0, 9.0, 8.0, 10.0, 11.0, 10.0, 8.0, 13.0, 8.0, 7.0, 11.0, 7.0, 11.0, 7.0, 8.0, 9.0, 9.0, 7.0, 7.0, 8.0, 11.0, 10.0, 9.0, 8.0, 8.0, 7.0, 8.0, 7.0, 9.0, 8.0, 7.0, 8.0, 7.0, 8.0, 8.0, 10.0, 8.0, 9.0, 7.0, 7.0, 7.0, 8.0, 8.0, 8.0, 7.0, 7.0, 6.0, 13.0, 10.0, 8.0, 7.0, 6.0, 7.0, 6.0, 6.0, 7.0, 8.0, 6.0, 6.0, 6.0, 7.0, 6.0, 5.0, 7.0, 5.0, 5.0, 6.0, 5.0, 6.0, 5.0, 5.0, 6.0, 8.0, 5.0, 7.0, 4.0, 4.0, 7.0, 5.0, 4.0, 5.0, 3.0, 3.0, 3.0, 2.0] # Test some basic functionality def test_digits_naive(): model = MaxCoverageSelection(100, optimizer='naive') model.fit(X_digits) assert_array_equal(model.ranking[:15], digits_ranking[:15]) assert_array_equal(model.ranking[:15], digits_ranking[:15]) assert_array_almost_equal(model.gains[:15], digits_gains[:15], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_lazy(): model = MaxCoverageSelection(100, optimizer='lazy') model.fit(X_digits) assert_array_equal(model.ranking[:3], digits_ranking[:3]) assert_array_almost_equal(model.gains[:3], digits_gains[:3], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_two_stage(): model = MaxCoverageSelection(100, optimizer='two-stage') model.fit(X_digits) assert_array_equal(model.ranking[:3], digits_ranking[:3]) assert_array_almost_equal(model.gains[:3], digits_gains[:3], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) # Test with initialization def test_digits_naive_init(): model = MaxCoverageSelection(100, optimizer='naive', initial_subset=digits_ranking[:5]) model.fit(X_digits) assert_array_equal(model.ranking[:10], digits_ranking[5:15]) assert_array_almost_equal(model.gains[:10], digits_gains[5:15], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_lazy_init(): model = MaxCoverageSelection(100, optimizer='lazy', initial_subset=digits_ranking[:5]) model.fit(X_digits) assert_array_equal(model.ranking[:5], digits_ranking[5:10]) assert_array_almost_equal(model.gains[:5], digits_gains[5:10], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_two_stage_init(): model = MaxCoverageSelection(100, optimizer='two-stage', initial_subset=digits_ranking[:5]) model.fit(X_digits) assert_array_equal(model.ranking[:10], digits_ranking[5:15]) assert_array_almost_equal(model.gains[:10], digits_gains[5:15], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) # Test all optimizers def test_digits_greedi_nn(): model = MaxCoverageSelection(100, optimizer='greedi', optimizer_kwds={'optimizer1': 'naive', 'optimizer2': 'naive'}, random_state=0) model.fit(X_digits) assert_array_equal(model.ranking[:2], digits_greedi_ranking[:2]) assert_array_almost_equal(model.gains[:2], digits_greedi_gains[:2], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_greedi_ll(): model = MaxCoverageSelection(100, optimizer='greedi', optimizer_kwds={'optimizer1': 'lazy', 'optimizer2': 'lazy'}, random_state=0) model.fit(X_digits) assert_array_equal(model.ranking[:30], digits_greedi_ranking[:30]) assert_array_almost_equal(model.gains[:30], digits_greedi_gains[:30], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_greedi_ln(): model = MaxCoverageSelection(100, optimizer='greedi', optimizer_kwds={'optimizer1': 'lazy', 'optimizer2': 'naive'}, random_state=0) model.fit(X_digits) assert_array_equal(model.ranking[:2], digits_greedi_ranking[:2]) assert_array_almost_equal(model.gains[:2], digits_greedi_gains[:2], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_greedi_nl(): model = MaxCoverageSelection(100, optimizer='greedi', optimizer_kwds={'optimizer1': 'naive', 'optimizer2': 'lazy'}, random_state=0) model.fit(X_digits) assert_array_equal(model.ranking[:2], digits_greedi_ranking[:2]) assert_array_almost_equal(model.gains[:2], digits_greedi_gains[:2], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_approximate(): model = MaxCoverageSelection(100, optimizer='approximate-lazy') model.fit(X_digits) assert_array_equal(model.ranking, digits_approx_ranking) assert_array_almost_equal(model.gains, digits_approx_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_stochastic(): model = MaxCoverageSelection(100, optimizer='stochastic', random_state=0) model.fit(X_digits) assert_array_equal(model.ranking, digits_stochastic_ranking) assert_array_almost_equal(model.gains, digits_stochastic_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_sample(): model = MaxCoverageSelection(100, optimizer='sample', random_state=0) model.fit(X_digits) assert_array_equal(model.ranking, digits_sample_ranking) assert_array_almost_equal(model.gains, digits_sample_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_modular(): model = MaxCoverageSelection(100, optimizer='modular', random_state=0) model.fit(X_digits) assert_array_equal(model.ranking, digits_modular_ranking) assert_array_almost_equal(model.gains, digits_modular_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) # Using the partial_fit method def test_digits_sieve_batch(): model = MaxCoverageSelection(100, random_state=0) model.partial_fit(X_digits) assert_array_equal(model.ranking, digits_sieve_ranking) assert_array_almost_equal(model.gains, digits_sieve_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_sieve_minibatch(): model = MaxCoverageSelection(100, random_state=0) model.partial_fit(X_digits[:50]) model.partial_fit(X_digits[50:150]) model.partial_fit(X_digits[150:]) assert_array_equal(model.ranking, digits_sieve_ranking) assert_array_almost_equal(model.gains, digits_sieve_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_sieve_batch_sparse(): model = MaxCoverageSelection(100, random_state=0) model.partial_fit(X_digits_sparse) assert_array_equal(model.ranking, digits_sieve_ranking) assert_array_almost_equal(model.gains, digits_sieve_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_sieve_minibatch_sparse(): model = MaxCoverageSelection(100, random_state=0) model.partial_fit(X_digits_sparse[:50]) model.partial_fit(X_digits_sparse[50:150]) model.partial_fit(X_digits_sparse[150:]) assert_array_equal(model.ranking, digits_sieve_ranking) assert_array_almost_equal(model.gains, digits_sieve_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) # Using Optimizer Objects def test_digits_naive_object(): model = MaxCoverageSelection(100, optimizer=NaiveGreedy()) model.fit(X_digits) assert_array_equal(model.ranking[:4], digits_ranking[:4]) assert_array_almost_equal(model.gains[:4], digits_gains[:4], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_lazy_object(): model = MaxCoverageSelection(100, optimizer=LazyGreedy()) model.fit(X_digits) assert_array_equal(model.ranking[:3], digits_ranking[:3]) assert_array_almost_equal(model.gains[:3], digits_gains[:3], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_two_stage_object(): model = MaxCoverageSelection(100, optimizer=TwoStageGreedy()) model.fit(X_digits) assert_array_equal(model.ranking[:4], digits_ranking[:4]) assert_array_almost_equal(model.gains[:4], digits_gains[:4], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_greedi_nn_object(): model = MaxCoverageSelection(100, optimizer=GreeDi( optimizer1='naive', optimizer2='naive', random_state=0)) model.fit(X_digits) assert_array_equal(model.ranking[:2], digits_ranking[:2]) assert_array_almost_equal(model.gains[:2], digits_gains[:2], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_greedi_ll_object(): model = MaxCoverageSelection(100, optimizer=GreeDi( optimizer1='lazy', optimizer2='lazy', random_state=0)) model.fit(X_digits) assert_array_equal(model.ranking[:2], digits_ranking[:2]) assert_array_almost_equal(model.gains[:2], digits_gains[:2], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_greedi_ln_object(): model = MaxCoverageSelection(100, optimizer=GreeDi( optimizer1='lazy', optimizer2='naive', random_state=0)) model.fit(X_digits) assert_array_equal(model.ranking[:2], digits_ranking[:2]) assert_array_almost_equal(model.gains[:2], digits_gains[:2], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_greedi_nl_object(): model = MaxCoverageSelection(100, optimizer=GreeDi( optimizer1='naive', optimizer2='lazy', random_state=0)) model.fit(X_digits) assert_array_equal(model.ranking[:2], digits_ranking[:2]) assert_array_almost_equal(model.gains[:2], digits_gains[:2], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_approximate_object(): model = MaxCoverageSelection(100, optimizer=ApproximateLazyGreedy()) model.fit(X_digits) assert_array_equal(model.ranking, digits_approx_ranking) assert_array_almost_equal(model.gains, digits_approx_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_stochastic_object(): model = MaxCoverageSelection(100, optimizer=StochasticGreedy(random_state=0)) model.fit(X_digits) assert_array_equal(model.ranking, digits_stochastic_ranking) assert_array_almost_equal(model.gains, digits_stochastic_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_sample_object(): model = MaxCoverageSelection(100, optimizer=SampleGreedy(random_state=0)) model.fit(X_digits) assert_array_equal(model.ranking, digits_sample_ranking) assert_array_almost_equal(model.gains, digits_sample_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_modular_object(): model = MaxCoverageSelection(100, optimizer=ModularGreedy(random_state=0)) model.fit(X_digits) assert_array_equal(model.ranking, digits_modular_ranking) assert_array_almost_equal(model.gains, digits_modular_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) # Test all optimizers on sparse data def test_digits_naive_sparse(): model = MaxCoverageSelection(100, optimizer='naive') model.fit(X_digits_sparse) assert_array_equal(model.ranking[:4], digits_ranking[:4]) assert_array_almost_equal(model.gains[:4], digits_gains[:4], 4) assert_array_almost_equal(model.subset, X_digits_sparse[model.ranking].toarray()) def test_digits_lazy_sparse(): model = MaxCoverageSelection(100, optimizer='lazy') model.fit(X_digits_sparse) assert_array_equal(model.ranking[:3], digits_ranking[:3]) assert_array_almost_equal(model.gains[:3], digits_gains[:3], 4) assert_array_almost_equal(model.subset, X_digits_sparse[model.ranking].toarray()) def test_digits_two_stage_sparse(): model = MaxCoverageSelection(100, optimizer='two-stage') model.fit(X_digits_sparse) assert_array_equal(model.ranking[:4], digits_ranking[:4]) assert_array_almost_equal(model.gains[:4], digits_gains[:4], 4) assert_array_almost_equal(model.subset, X_digits_sparse[model.ranking].toarray()) def test_digits_greedi_nn_sparse(): model = MaxCoverageSelection(100, optimizer='greedi', optimizer_kwds={'optimizer1': 'naive', 'optimizer2': 'naive'}, random_state=0) model.fit(X_digits_sparse) assert_array_equal(model.ranking[:2], digits_ranking[:2]) assert_array_almost_equal(model.gains[:2], digits_gains[:2], 4) assert_array_almost_equal(model.subset, X_digits_sparse[model.ranking].toarray()) def test_digits_greedi_ll_sparse(): model = MaxCoverageSelection(100, optimizer='greedi', optimizer_kwds={'optimizer1': 'lazy', 'optimizer2': 'lazy'}, random_state=0) model.fit(X_digits_sparse) assert_array_equal(model.ranking[:2], digits_ranking[:2]) assert_array_almost_equal(model.gains[:2], digits_gains[:2], 4) assert_array_almost_equal(model.subset, X_digits_sparse[model.ranking].toarray()) def test_digits_greedi_ln_sparse(): model = MaxCoverageSelection(100, optimizer='greedi', optimizer_kwds={'optimizer1': 'lazy', 'optimizer2': 'naive'}, random_state=0) model.fit(X_digits_sparse) assert_array_equal(model.ranking[:2], digits_ranking[:2]) assert_array_almost_equal(model.gains[:2], digits_gains[:2], 4) assert_array_almost_equal(model.subset, X_digits_sparse[model.ranking].toarray()) def test_digits_greedi_nl_sparse(): model = MaxCoverageSelection(100, optimizer='greedi', optimizer_kwds={'optimizer1': 'naive', 'optimizer2': 'lazy'}, random_state=0) model.fit(X_digits_sparse) assert_array_equal(model.ranking[:2], digits_ranking[:2]) assert_array_almost_equal(model.gains[:2], digits_gains[:2], 4) assert_array_almost_equal(model.subset, X_digits_sparse[model.ranking].toarray()) def test_digits_approximate_sparse(): model = MaxCoverageSelection(100, optimizer='approximate-lazy') model.fit(X_digits_sparse) assert_array_equal(model.ranking, digits_approx_ranking) assert_array_almost_equal(model.gains, digits_approx_gains, 4) assert_array_almost_equal(model.subset, X_digits_sparse[model.ranking].toarray()) def test_digits_stochastic_sparse(): model = MaxCoverageSelection(100, optimizer='stochastic', random_state=0) model.fit(X_digits_sparse) assert_array_equal(model.ranking, digits_stochastic_ranking) assert_array_almost_equal(model.gains, digits_stochastic_gains, 4) assert_array_almost_equal(model.subset, X_digits_sparse[model.ranking].toarray()) def test_digits_sample_sparse(): model = MaxCoverageSelection(100, optimizer='sample', random_state=0) model.fit(X_digits_sparse) assert_array_equal(model.ranking, digits_sample_ranking) assert_array_almost_equal(model.gains, digits_sample_gains, 4) assert_array_almost_equal(model.subset, X_digits_sparse[model.ranking].toarray()) def test_digits_modular_sparse(): model = MaxCoverageSelection(100, optimizer='modular', random_state=0) model.fit(X_digits_sparse) assert_array_equal(model.ranking, digits_modular_ranking) assert_array_almost_equal(model.gains, digits_modular_gains, 4) assert_array_almost_equal(model.subset, X_digits_sparse[model.ranking].toarray()) jmschrei-apricot-bf86e69/tests/test_functions/test_mixture_feature_based.py000066400000000000000000000674171414554015600276240ustar00rootroot00000000000000import scipy import numpy from apricot import MixtureSelection from apricot import FeatureBasedSelection from apricot.optimizers import * from sklearn.datasets import load_digits from sklearn.metrics import pairwise_distances from numpy.testing import assert_almost_equal from numpy.testing import assert_array_equal from numpy.testing import assert_array_almost_equal digits_data = load_digits() X_digits = digits_data.data X_digits_sparse = scipy.sparse.csr_matrix(X_digits) digits_ranking = [818, 1296, 732, 988, 629, 951, 1747, 235, 1375, 1205, 1572, 1657, 1271, 898, 178, 1766, 591, 160, 513, 1070, 1113, 185, 1017, 1793, 736, 283, 491, 538, 919, 423, 688, 163, 1176, 1022, 1493, 1796, 221, 565, 502, 208, 1273, 1009, 890, 1043, 313, 1313, 693, 1317, 956, 1086, 756, 263, 1082, 33, 586, 854, 1030, 873, 757, 1487, 768, 805, 430, 1393, 1704, 615, 1193, 979, 666, 457, 1437, 352, 481, 1342, 1305, 1191, 673, 1021, 424, 407, 1470, 851, 1349, 77, 453, 1012, 1668, 786, 372, 87, 1260, 1263, 1186, 655, 168, 1106, 436, 548, 500, 1071] digits_gains = [152.2932, 70.3476, 55.4229, 42.8135, 38.5884, 32.8221, 29.7563, 27.2078, 25.8361, 24.3585, 22.8313, 21.6289, 20.6903, 19.7554, 18.9661, 18.2044, 17.4879, 17.0986, 16.5219, 16.1346, 15.6849, 15.1929, 14.8071, 14.4614, 14.1263, 13.8427, 13.6364, 13.1858, 13.0251, 12.7098, 12.5099, 12.2925, 12.1759, 11.9375, 11.8008, 11.5694, 11.4054, 11.2093, 11.0464, 10.9119, 10.7966, 10.6753, 10.5141, 10.3925, 10.3039, 10.1926, 10.0551, 9.9719, 9.8187, 9.6708, 9.5892, 9.4608, 9.3775, 9.2822, 9.1917, 9.0711, 8.9826, 8.9076, 8.847, 8.7676, 8.6784, 8.603, 8.5362, 8.4719, 8.3972, 8.3124, 8.252, 8.1715, 8.1113, 8.0456, 7.9853, 7.9312, 7.8523, 7.794, 7.7451, 7.6839, 7.6567, 7.5988, 7.5465, 7.4879, 7.4444, 7.3839, 7.3437, 7.2931, 7.2339, 7.1909, 7.1453, 7.1032, 7.0634, 7.0083, 6.9775, 6.9542, 6.8977, 6.8592, 6.827, 6.7886, 6.7578, 6.7162, 6.6772, 6.6408] digits_greedi_ranking = [818, 1296, 732, 988, 629, 951, 1747, 235, 1375, 1205, 1572, 1657, 1271, 898, 178, 1766, 591, 160, 513, 1070, 1113, 185, 1017, 1793, 736, 283, 491, 538, 919, 423, 688, 163, 1176, 1022, 1493, 1796, 221, 565, 502, 208, 1273, 1009, 890, 1043, 313, 1313, 693, 1317, 956, 1086, 756, 263, 1082, 33, 586, 854, 1030, 873, 757, 1487, 768, 805, 430, 1393, 1704, 615, 1193, 979, 666, 457, 1437, 352, 481, 1342, 1305, 1191, 673, 1021, 424, 407, 1470, 851, 1349, 77, 453, 1012, 1668, 786, 372, 87, 1260, 1263, 1186, 655, 168, 1106, 436, 548, 500, 1071] digits_greedi_gains = [152.2932, 70.3476, 55.4229, 42.8135, 38.5884, 32.8221, 29.7563, 27.2078, 25.8361, 24.3585, 22.8313, 21.6289, 20.6903, 19.7554, 18.9661, 18.2044, 17.4879, 17.0986, 16.5219, 16.1346, 15.6849, 15.1929, 14.8071, 14.4614, 14.1263, 13.8427, 13.6364, 13.1858, 13.0251, 12.7098, 12.5099, 12.2925, 12.1759, 11.9375, 11.8008, 11.5694, 11.4054, 11.2093, 11.0464, 10.9119, 10.7966, 10.6753, 10.5141, 10.3925, 10.3039, 10.1926, 10.0551, 9.9719, 9.8187, 9.6708, 9.5892, 9.4608, 9.3775, 9.2822, 9.1917, 9.0711, 8.9826, 8.9076, 8.847, 8.7676, 8.6784, 8.603, 8.5362, 8.4719, 8.3972, 8.3124, 8.252, 8.1715, 8.1113, 8.0456, 7.9853, 7.9312, 7.8523, 7.794, 7.7451, 7.6839, 7.6567, 7.5988, 7.5465, 7.4879, 7.4444, 7.3839, 7.3437, 7.2931, 7.2339, 7.1909, 7.1453, 7.1032, 7.0634, 7.0083, 6.9775, 6.9542, 6.8977, 6.8592, 6.827, 6.7886, 6.7578, 6.7162, 6.6772, 6.6408] digits_approx_ranking = [818, 1296, 732, 1375, 988, 951, 1747, 629, 1572, 1793, 1657, 235, 1205, 1273, 898, 1766, 178, 1070, 591, 1271, 513, 185, 491, 1493, 1022, 1017, 1113, 736, 263, 919, 423, 1176, 283, 160, 538, 1796, 163, 502, 565, 666, 586, 688, 221, 208, 1009, 1313, 313, 1086, 1317, 756, 1704, 890, 1043, 693, 1487, 1082, 33, 1030, 615, 956, 430, 1012, 1437, 481, 1106, 372, 873, 655, 1260, 77, 1263, 768, 854, 424, 1393, 757, 457, 979, 1349, 407, 1781, 1109, 1305, 352, 805, 87, 1186, 851, 1342, 459, 1193, 1470, 1191, 453, 451, 317, 168, 786, 673, 1021] digits_approx_gains = [152.2932, 70.3476, 55.4229, 40.662, 39.006, 33.449, 29.9424, 28.0319, 25.7394, 24.0863, 22.9212, 21.7298, 20.6456, 19.3092, 19.0731, 18.2018, 17.5479, 16.8794, 16.7182, 15.8711, 15.8008, 15.248, 14.7117, 14.2284, 14.0479, 13.8035, 13.8965, 13.4434, 12.695, 12.8843, 12.5063, 12.2843, 12.1381, 12.1398, 11.8313, 11.6022, 11.5103, 11.1856, 11.1116, 10.7301, 10.7392, 10.8269, 10.6069, 10.453, 10.2373, 10.0994, 10.059, 9.8912, 9.8362, 9.6562, 9.479, 9.6119, 9.6617, 9.4232, 9.0999, 9.0473, 9.068, 8.9251, 8.7993, 8.8327, 8.7163, 8.4407, 8.4107, 8.4169, 8.276, 8.1522, 8.3762, 8.0707, 7.9703, 7.958, 7.9603, 7.9682, 7.9183, 7.8082, 7.7928, 7.892, 7.6979, 7.6573, 7.5355, 7.4719, 7.2557, 7.3026, 7.3903, 7.3379, 7.2994, 7.1366, 7.1479, 7.0997, 7.1551, 6.976, 7.0948, 6.974, 6.9205, 6.857, 6.785, 6.8166, 6.7522, 6.7384, 6.8115, 6.6876] digits_stochastic_ranking = [1081, 1014, 1386, 770, 567, 137, 723, 1491, 1274, 1492, 1728, 1456, 186, 1448, 386, 148, 891, 1759, 1424, 587, 191, 629, 1507, 1084, 1473, 946, 518, 638, 1739, 502, 1537, 1227, 689, 88, 238, 1667, 1785, 1067, 1461, 1222, 1099, 607, 364, 1572, 1195, 217, 1034, 208, 84, 1128, 425, 345, 626, 843, 1070, 83, 1449, 1071, 1644, 1392, 1415, 449, 802, 1348, 1553, 175, 1455, 1770, 1395, 1032, 879, 1220, 1137, 129, 754, 1695, 1459, 782, 549, 1069, 260, 834, 517, 919, 1622, 700, 424, 1685, 245, 1339, 1152, 1212, 1425, 937, 1665, 291, 1535, 701, 1508, 1219] digits_stochastic_gains = [121.7429, 38.299, 40.6373, 51.1555, 28.4007, 24.8129, 30.5944, 23.784, 29.3665, 22.5999, 23.256, 22.3397, 19.6173, 18.9918, 19.0722, 18.4918, 13.6348, 18.2636, 13.1233, 11.306, 13.4296, 17.0155, 12.0848, 12.0533, 10.7912, 14.023, 10.762, 11.3215, 12.6178, 16.4564, 11.9374, 9.8052, 17.0825, 10.1284, 11.0922, 11.09, 10.5038, 11.1906, 9.9223, 8.7334, 7.9894, 8.0544, 9.1596, 15.8808, 8.293, 8.7925, 9.8181, 11.2449, 10.4297, 7.3253, 9.0816, 8.5007, 9.5166, 8.1465, 12.6806, 6.8592, 7.0207, 9.5185, 6.2303, 7.6187, 6.6266, 6.8528, 7.7183, 8.1687, 5.9507, 7.0074, 7.6181, 6.877, 7.9805, 5.9543, 5.9006, 8.5146, 6.2211, 5.6803, 7.6504, 8.0842, 6.3355, 6.8525, 6.2785, 7.7865, 5.3526, 7.0893, 8.2436, 10.0573, 6.293, 6.8794, 7.7733, 7.0383, 5.9675, 5.2374, 5.5081, 5.4276, 5.9783, 6.4971, 5.1889, 5.6313, 5.8053, 6.5889, 5.0918, 5.1209] digits_sample_ranking = [818, 1296, 732, 988, 629, 951, 1747, 235, 1205, 1313, 898, 1657, 283, 1271, 160, 591, 1070, 1766, 178, 1113, 185, 491, 736, 1017, 1793, 1022, 221, 1493, 1176, 1009, 919, 163, 1796, 538, 423, 693, 208, 890, 502, 565, 1043, 1273, 956, 1317, 263, 313, 1082, 430, 1393, 1086, 756, 586, 757, 33, 1030, 805, 873, 1704, 854, 768, 1193, 615, 1191, 352, 1487, 673, 979, 1021, 481, 1342, 407, 1305, 424, 1263, 77, 1349, 851, 1470, 655, 1668, 786, 1437, 453, 548, 1012, 168, 1186, 1109, 689, 372, 87, 1071, 1106, 500, 767, 436, 1576, 172, 451, 317] digits_sample_gains = [152.2932, 70.3476, 55.4229, 42.8135, 38.5884, 32.8221, 29.7563, 27.2078, 25.2167, 23.5628, 22.374, 21.4788, 20.4943, 19.8581, 18.9381, 18.1915, 17.7252, 17.1965, 16.6098, 16.0786, 15.6007, 15.1446, 14.8123, 14.3777, 14.1483, 13.8825, 13.461, 13.2176, 12.9521, 12.7478, 12.5743, 12.3747, 12.1752, 11.9979, 11.7362, 11.5816, 11.3711, 11.1938, 11.0639, 10.946, 10.7851, 10.7243, 10.4895, 10.3896, 10.3093, 10.125, 9.9581, 9.8459, 9.7677, 9.6534, 9.5863, 9.508, 9.3817, 9.2986, 9.198, 9.0883, 9.0038, 8.9179, 8.8321, 8.7494, 8.6602, 8.5976, 8.5145, 8.4323, 8.3656, 8.3018, 8.2424, 8.1621, 8.0957, 8.0337, 7.9818, 7.9204, 7.8514, 7.7973, 7.7334, 7.6862, 7.6332, 7.5786, 7.5323, 7.4613, 7.4109, 7.3694, 7.3199, 7.2791, 7.2389, 7.1823, 7.1232, 7.0875, 7.046, 7.0172, 6.9806, 6.9359, 6.9055, 6.8493, 6.8181, 6.7789, 6.7478, 6.7228, 6.6745, 6.6534] digits_modular_ranking = [818, 1766, 491, 178, 768, 185, 513, 1747, 160, 208, 423, 898, 1793, 854, 352, 424, 890, 1796, 505, 402, 978, 459, 148, 500, 138, 457, 666, 1030, 1342, 693, 370, 509, 417, 235, 452, 1296, 309, 481, 615, 578, 1082, 1709, 407, 805, 1186, 55, 168, 1379, 453, 1759, 736, 332, 565, 1205, 126, 644, 221, 1021, 1493, 1668, 451, 831, 209, 1276, 420, 396, 1009, 1703, 1704, 913, 1071, 1317, 1193, 646, 1069, 1393, 688, 1774, 951, 1736, 985, 1349, 1105, 72, 1545, 1113, 1705, 1015, 33, 899, 786, 1620, 1470, 1310, 514, 1676, 1106, 439, 1474, 1781] digits_modular_gains = [152.2932, 59.4281, 54.5905, 39.7922, 32.8763, 29.5361, 27.967, 26.596, 23.784, 21.5854, 21.4519, 22.8164, 19.3186, 17.6405, 17.8932, 16.4197, 17.0048, 16.5204, 14.8051, 14.3766, 14.3648, 14.0213, 13.0132, 13.7872, 12.7561, 16.864, 12.9037, 12.7349, 12.4368, 12.8589, 11.2171, 11.2693, 11.082, 12.5391, 10.8932, 13.6737, 10.1224, 10.8944, 10.5785, 10.4644, 10.6246, 9.9776, 10.013, 10.164, 9.8172, 9.2902, 9.534, 9.2717, 9.3514, 9.222, 10.9156, 8.5255, 9.3958, 10.2975, 8.1919, 8.2635, 9.2393, 9.7903, 8.9236, 8.5461, 8.2657, 8.0681, 7.8935, 7.881, 7.6749, 7.7052, 11.5209, 7.5021, 8.1381, 7.1416, 7.8203, 7.8894, 7.8344, 7.4424, 7.2331, 9.2211, 8.1051, 7.1892, 8.7177, 6.76, 7.7628, 7.3084, 7.1069, 6.7299, 6.5033, 8.4939, 6.5589, 6.5227, 8.1911, 6.2681, 6.8672, 6.606, 6.6948, 6.7548, 6.0001, 6.5057, 6.5458, 6.1066, 6.5208, 6.5072] digits_sieve_ranking = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 35, 36, 37, 38, 39, 40, 41, 44, 48, 49, 52, 55, 58, 61, 64, 66, 72, 73, 76, 77, 79, 84, 87, 98, 126, 135, 138, 160, 163, 168, 172, 178, 185, 208, 221, 235, 263, 283, 313, 317, 372, 423, 430, 436, 447, 502, 513, 517, 538, 591, 629, 655, 673, 732, 756, 757, 873, 919, 988, 1017, 1022, 1043, 1070, 1086, 1088, 1089] digits_sieve_gains = [119.5639, 66.8586, 47.1468, 32.0789, 24.8685, 28.5323, 22.1474, 28.2448, 23.693, 20.6455, 20.4895, 17.2094, 18.1592, 20.6875, 18.2102, 20.1615, 15.6893, 15.0406, 11.1734, 12.3849, 14.3306, 13.4825, 10.6864, 12.021, 9.6743, 9.6694, 14.2993, 12.6284, 10.5763, 11.6182, 13.8525, 9.8746, 13.5983, 13.5463, 10.1593, 11.0643, 10.2808, 10.2343, 10.1542, 9.8971, 10.0531, 11.0007, 9.4593, 9.2882, 10.7294, 10.605, 9.3207, 9.6402, 9.3458, 9.9867, 9.904, 9.0392, 9.2327, 10.4458, 9.2457, 9.8823, 9.1438, 8.8986, 8.8808, 8.9745, 8.9369, 9.783, 9.7131, 8.9642, 8.999, 9.4278, 9.1839, 8.9119, 8.8667, 9.1958, 13.0354, 10.742, 8.8789, 10.5808, 8.5366, 8.4446, 8.6376, 8.83, 8.4561, 10.3718, 8.341, 8.3179, 8.3489, 8.6012, 8.4816, 8.3437, 8.6528, 8.9662, 8.1957, 8.6666, 9.5643, 8.0391, 10.143, 7.653, 7.7564, 7.7174, 7.8775, 9.2211, 6.8625, 6.6068] # Test some concave functions def test_digits_naive(): model1 = FeatureBasedSelection(100, 'sqrt') model2 = FeatureBasedSelection(100, 'log') model = MixtureSelection(100, [model1, model2], [1.0, 0.3], optimizer='naive') model.fit(X_digits) assert_array_equal(model.ranking[:30], digits_ranking[:30]) assert_array_equal(model.ranking[-30:], digits_ranking[-30:]) assert_array_almost_equal(model.gains, digits_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_lazy(): model1 = FeatureBasedSelection(100, 'sqrt') model2 = FeatureBasedSelection(100, 'log') model = MixtureSelection(100, [model1, model2], [1.0, 0.3], optimizer='lazy') model.fit(X_digits) assert_array_equal(model.ranking, digits_ranking) assert_array_almost_equal(model.gains, digits_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_two_stage(): model1 = FeatureBasedSelection(100, 'sqrt') model2 = FeatureBasedSelection(100, 'log') model = MixtureSelection(100, [model1, model2], [1.0, 0.3], optimizer='two-stage') model.fit(X_digits) assert_array_equal(model.ranking, digits_ranking) assert_array_almost_equal(model.gains, digits_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) # Test with initialization def test_digits_naive_init(): model1 = FeatureBasedSelection(100, 'sqrt') model2 = FeatureBasedSelection(100, 'log') model = MixtureSelection(100, [model1, model2], [1.0, 0.3], optimizer='naive', initial_subset=digits_ranking[:5]) model.fit(X_digits) assert_array_equal(model.ranking[:20], digits_ranking[5:25]) assert_array_almost_equal(model.gains[:20], digits_gains[5:25], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_lazy_init(): model1 = FeatureBasedSelection(100, 'sqrt') model2 = FeatureBasedSelection(100, 'log') model = MixtureSelection(100, [model1, model2], [1.0, 0.3], optimizer='lazy', initial_subset=digits_ranking[:5]) model.fit(X_digits) assert_array_equal(model.ranking[:-5], digits_ranking[5:]) assert_array_almost_equal(model.gains[:-5], digits_gains[5:], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_two_stage_init(): model1 = FeatureBasedSelection(100, 'sqrt') model2 = FeatureBasedSelection(100, 'log') model = MixtureSelection(100, [model1, model2], [1.0, 0.3], optimizer='two-stage', initial_subset=digits_ranking[:5]) model.fit(X_digits) assert_array_equal(model.ranking[:-5], digits_ranking[5:]) assert_array_almost_equal(model.gains[:-5], digits_gains[5:], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) # Test all optimizers def test_digits_greedi_nn(): model1 = FeatureBasedSelection(100, 'sqrt') model2 = FeatureBasedSelection(100, 'log') model = MixtureSelection(100, [model1, model2], [1.0, 0.3], optimizer='two-stage', optimizer_kwds={'optimizer1': 'naive', 'optimizer2': 'naive'}, random_state=0) model.fit(X_digits) assert_array_equal(model.ranking[:85], digits_greedi_ranking[:85]) assert_array_almost_equal(model.gains[:85], digits_greedi_gains[:85], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_greedi_ll(): model1 = FeatureBasedSelection(100, 'sqrt') model2 = FeatureBasedSelection(100, 'log') model = MixtureSelection(100, [model1, model2], [1.0, 0.3], optimizer='two-stage', optimizer_kwds={'optimizer1': 'lazy', 'optimizer2': 'lazy'}, random_state=0) model.fit(X_digits) assert_array_equal(model.ranking[:85], digits_greedi_ranking[:85]) assert_array_almost_equal(model.gains[:85], digits_greedi_gains[:85], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_greedi_ln(): model1 = FeatureBasedSelection(100, 'sqrt') model2 = FeatureBasedSelection(100, 'log') model = MixtureSelection(100, [model1, model2], [1.0, 0.3], optimizer='two-stage', optimizer_kwds={'optimizer1': 'lazy', 'optimizer2': 'naive'}, random_state=0) model.fit(X_digits) assert_array_equal(model.ranking, digits_greedi_ranking) assert_array_almost_equal(model.gains, digits_greedi_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_greedi_nl(): model1 = FeatureBasedSelection(100, 'sqrt') model2 = FeatureBasedSelection(100, 'log') model = MixtureSelection(100, [model1, model2], [1.0, 0.3], optimizer='two-stage', optimizer_kwds={'optimizer1': 'naive', 'optimizer2': 'lazy'}, random_state=0) model.fit(X_digits) assert_array_equal(model.ranking[:85], digits_greedi_ranking[:85]) assert_array_almost_equal(model.gains[:85], digits_greedi_gains[:85], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_approximate(): model1 = FeatureBasedSelection(100, 'sqrt') model2 = FeatureBasedSelection(100, 'log') model = MixtureSelection(100, [model1, model2], [1.0, 0.3], optimizer='approximate-lazy', random_state=0) model.fit(X_digits) assert_array_equal(model.ranking, digits_approx_ranking) assert_array_almost_equal(model.gains, digits_approx_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_stochastic(): model1 = FeatureBasedSelection(100, 'sqrt') model2 = FeatureBasedSelection(100, 'log') model = MixtureSelection(100, [model1, model2], [1.0, 0.3], optimizer='stochastic', random_state=0) model.fit(X_digits) assert_array_equal(model.ranking, digits_stochastic_ranking) assert_array_almost_equal(model.gains, digits_stochastic_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_sample(): model1 = FeatureBasedSelection(100, 'sqrt') model2 = FeatureBasedSelection(100, 'log') model = MixtureSelection(100, [model1, model2], [1.0, 0.3], optimizer='sample', random_state=0) model.fit(X_digits) assert_array_equal(model.ranking, digits_sample_ranking) assert_array_almost_equal(model.gains, digits_sample_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_modular(): model1 = FeatureBasedSelection(100, 'sqrt') model2 = FeatureBasedSelection(100, 'log') model = MixtureSelection(100, [model1, model2], [1.0, 0.3], optimizer='modular', random_state=0) model.fit(X_digits) assert_array_equal(model.ranking, digits_modular_ranking) assert_array_almost_equal(model.gains, digits_modular_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) # Using the partial_fit method def test_digits_sqrt_sieve_batch(): model1 = FeatureBasedSelection(100, 'sqrt') model2 = FeatureBasedSelection(100, 'log') model = MixtureSelection(100, [model1, model2], [1.0, 0.3], random_state=0) model.partial_fit(X_digits) assert_array_equal(model.ranking, digits_sieve_ranking) assert_array_almost_equal(model.gains, digits_sieve_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_sqrt_sieve_minibatch(): model1 = FeatureBasedSelection(100, 'sqrt') model2 = FeatureBasedSelection(100, 'log') model = MixtureSelection(100, [model1, model2], [1.0, 0.3], random_state=0) model.partial_fit(X_digits[:300]) model.partial_fit(X_digits[300:500]) model.partial_fit(X_digits[500:]) assert_array_equal(model.ranking, digits_sieve_ranking) assert_array_almost_equal(model.gains, digits_sieve_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) # Using Optimizer Objects def test_digits_naive_object(): model1 = FeatureBasedSelection(100, 'sqrt') model2 = FeatureBasedSelection(100, 'log') model = MixtureSelection(100, [model1, model2], [1.0, 0.3], optimizer=NaiveGreedy(random_state=0)) model.fit(X_digits) assert_array_equal(model.ranking, digits_ranking) assert_array_almost_equal(model.gains, digits_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_lazy_object(): model1 = FeatureBasedSelection(100, 'sqrt') model2 = FeatureBasedSelection(100, 'log') model = MixtureSelection(100, [model1, model2], [1.0, 0.3], optimizer=LazyGreedy(random_state=0)) model.fit(X_digits) assert_array_equal(model.ranking, digits_ranking) assert_array_almost_equal(model.gains, digits_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_two_stage_object(): model1 = FeatureBasedSelection(100, 'sqrt') model2 = FeatureBasedSelection(100, 'log') model = MixtureSelection(100, [model1, model2], [1.0, 0.3], optimizer=TwoStageGreedy(random_state=0)) model.fit(X_digits) assert_array_equal(model.ranking, digits_ranking) assert_array_almost_equal(model.gains, digits_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_greedi_nn_object(): model1 = FeatureBasedSelection(100, 'sqrt') model2 = FeatureBasedSelection(100, 'log') model = MixtureSelection(100, [model1, model2], [1.0, 0.3], optimizer=GreeDi(optimizer1='naive', optimizer2='naive', random_state=0)) model.fit(X_digits) assert_array_equal(model.ranking[:85], digits_greedi_ranking[:85]) assert_array_almost_equal(model.gains[:85], digits_greedi_gains[:85], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_greedi_ll_object(): model1 = FeatureBasedSelection(100, 'sqrt') model2 = FeatureBasedSelection(100, 'log') model = MixtureSelection(100, [model1, model2], [1.0, 0.3], optimizer=GreeDi(optimizer1='lazy', optimizer2='lazy', random_state=0)) model.fit(X_digits) assert_array_equal(model.ranking[:85], digits_greedi_ranking[:85]) assert_array_almost_equal(model.gains[:85], digits_greedi_gains[:85], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_greedi_ln_object(): model1 = FeatureBasedSelection(100, 'sqrt') model2 = FeatureBasedSelection(100, 'log') model = MixtureSelection(100, [model1, model2], [1.0, 0.3], optimizer=GreeDi(optimizer1='lazy', optimizer2='naive', random_state=0)) model.fit(X_digits) assert_array_equal(model.ranking[:85], digits_greedi_ranking[:85]) assert_array_almost_equal(model.gains[:85], digits_greedi_gains[:85], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_greedi_nl_object(): model1 = FeatureBasedSelection(100, 'sqrt') model2 = FeatureBasedSelection(100, 'log') model = MixtureSelection(100, [model1, model2], [1.0, 0.3], optimizer=GreeDi(optimizer1='naive', optimizer2='lazy', random_state=0)) model.fit(X_digits) assert_array_equal(model.ranking[:85], digits_greedi_ranking[:85]) assert_array_almost_equal(model.gains[:85], digits_greedi_gains[:85], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_approximate_object(): model1 = FeatureBasedSelection(100, 'sqrt') model2 = FeatureBasedSelection(100, 'log') model = MixtureSelection(100, [model1, model2], [1.0, 0.3], optimizer=ApproximateLazyGreedy()) model.fit(X_digits) assert_array_equal(model.ranking, digits_approx_ranking) assert_array_almost_equal(model.gains, digits_approx_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_stochastic_object(): model1 = FeatureBasedSelection(100, 'sqrt') model2 = FeatureBasedSelection(100, 'log') model = MixtureSelection(100, [model1, model2], [1.0, 0.3], optimizer=StochasticGreedy(random_state=0)) model.fit(X_digits) assert_array_equal(model.ranking, digits_stochastic_ranking) assert_array_almost_equal(model.gains, digits_stochastic_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_sample_object(): model1 = FeatureBasedSelection(100, 'sqrt') model2 = FeatureBasedSelection(100, 'log') model = MixtureSelection(100, [model1, model2], [1.0, 0.3], optimizer=SampleGreedy(random_state=0)) model.fit(X_digits) assert_array_equal(model.ranking, digits_sample_ranking) assert_array_almost_equal(model.gains, digits_sample_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_modular_object(): model1 = FeatureBasedSelection(100, 'sqrt') model2 = FeatureBasedSelection(100, 'log') model = MixtureSelection(100, [model1, model2], [1.0, 0.3], optimizer=ModularGreedy(random_state=0)) model.fit(X_digits) assert_array_equal(model.ranking, digits_modular_ranking) assert_array_almost_equal(model.gains, digits_modular_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) # Test all optimizers on sparse data def test_digits_naive_sparse(): model1 = FeatureBasedSelection(100, 'sqrt') model2 = FeatureBasedSelection(100, 'log') model = MixtureSelection(100, [model1, model2], [1.0, 0.3], optimizer='naive') model.fit(X_digits_sparse) assert_array_equal(model.ranking, digits_ranking) assert_array_almost_equal(model.gains, digits_gains, 4) assert_array_almost_equal(model.subset, X_digits_sparse[model.ranking].toarray()) def test_digits_lazy_sparse(): model1 = FeatureBasedSelection(100, 'sqrt') model2 = FeatureBasedSelection(100, 'log') model = MixtureSelection(100, [model1, model2], [1.0, 0.3], optimizer='lazy') model.fit(X_digits_sparse) assert_array_equal(model.ranking, digits_ranking) assert_array_almost_equal(model.gains, digits_gains, 4) assert_array_almost_equal(model.subset, X_digits_sparse[model.ranking].toarray()) def test_digits_two_stage_sparse(): model1 = FeatureBasedSelection(100, 'sqrt') model2 = FeatureBasedSelection(100, 'log') model = MixtureSelection(100, [model1, model2], [1.0, 0.3], optimizer='two-stage') model.fit(X_digits_sparse) assert_array_equal(model.ranking, digits_ranking) assert_array_almost_equal(model.gains, digits_gains, 4) assert_array_almost_equal(model.subset, X_digits_sparse[model.ranking].toarray()) def test_digits_greedi_nn_sparse(): model1 = FeatureBasedSelection(100, 'sqrt') model2 = FeatureBasedSelection(100, 'log') model = MixtureSelection(100, [model1, model2], [1.0, 0.3], optimizer='greedi', optimizer_kwds={'optimizer1': 'naive', 'optimizer2': 'naive'}, random_state=0) model.fit(X_digits_sparse) assert_array_equal(model.ranking[:85], digits_greedi_ranking[:85]) assert_array_almost_equal(model.gains[:85], digits_greedi_gains[:85], 4) assert_array_almost_equal(model.subset, X_digits_sparse[model.ranking].toarray()) def test_digits_greedi_ll_sparse(): model1 = FeatureBasedSelection(100, 'sqrt') model2 = FeatureBasedSelection(100, 'log') model = MixtureSelection(100, [model1, model2], [1.0, 0.3], optimizer='greedi', optimizer_kwds={'optimizer1': 'lazy', 'optimizer2': 'lazy'}, random_state=0) model.fit(X_digits_sparse) assert_array_equal(model.ranking[:85], digits_greedi_ranking[:85]) assert_array_almost_equal(model.gains[:85], digits_greedi_gains[:85], 4) assert_array_almost_equal(model.subset, X_digits_sparse[model.ranking].toarray()) def test_digits_greedi_ln_sparse(): model1 = FeatureBasedSelection(100, 'sqrt') model2 = FeatureBasedSelection(100, 'log') model = MixtureSelection(100, [model1, model2], [1.0, 0.3], optimizer='greedi', optimizer_kwds={'optimizer1': 'lazy', 'optimizer2': 'naive'}, random_state=0) model.fit(X_digits_sparse) assert_array_equal(model.ranking[:85], digits_greedi_ranking[:85]) assert_array_almost_equal(model.gains[:85], digits_greedi_gains[:85], 4) assert_array_almost_equal(model.subset, X_digits_sparse[model.ranking].toarray()) def test_digits_greedi_nl_sparse(): model1 = FeatureBasedSelection(100, 'sqrt') model2 = FeatureBasedSelection(100, 'log') model = MixtureSelection(100, [model1, model2], [1.0, 0.3], optimizer='greedi', optimizer_kwds={'optimizer1': 'naive', 'optimizer2': 'lazy'}, random_state=0) model.fit(X_digits_sparse) assert_array_equal(model.ranking[:85], digits_greedi_ranking[:85]) assert_array_almost_equal(model.gains[:85], digits_greedi_gains[:85], 4) assert_array_almost_equal(model.subset, X_digits_sparse[model.ranking].toarray()) def test_digits_approximate_sparse(): model1 = FeatureBasedSelection(100, 'sqrt') model2 = FeatureBasedSelection(100, 'log') model = MixtureSelection(100, [model1, model2], [1.0, 0.3], optimizer='approximate-lazy', random_state=0) model.fit(X_digits_sparse) assert_array_equal(model.ranking, digits_approx_ranking) assert_array_almost_equal(model.gains, digits_approx_gains, 4) assert_array_almost_equal(model.subset, X_digits_sparse[model.ranking].toarray()) def test_digits_stochastic_sparse(): model1 = FeatureBasedSelection(100, 'sqrt') model2 = FeatureBasedSelection(100, 'log') model = MixtureSelection(100, [model1, model2], [1.0, 0.3], optimizer='stochastic', random_state=0) model.fit(X_digits_sparse) assert_array_equal(model.ranking, digits_stochastic_ranking) assert_array_almost_equal(model.gains, digits_stochastic_gains, 4) assert_array_almost_equal(model.subset, X_digits_sparse[model.ranking].toarray()) def test_digits_sample_sparse(): model1 = FeatureBasedSelection(100, 'sqrt') model2 = FeatureBasedSelection(100, 'log') model = MixtureSelection(100, [model1, model2], [1.0, 0.3], optimizer='sample', random_state=0) model.fit(X_digits_sparse) assert_array_equal(model.ranking, digits_sample_ranking) assert_array_almost_equal(model.gains, digits_sample_gains, 4) assert_array_almost_equal(model.subset, X_digits_sparse[model.ranking].toarray()) def test_digits_modular_sparse(): model1 = FeatureBasedSelection(100, 'sqrt') model2 = FeatureBasedSelection(100, 'log') model = MixtureSelection(100, [model1, model2], [1.0, 0.3], optimizer='modular', random_state=0) model.fit(X_digits_sparse) assert_array_equal(model.ranking, digits_modular_ranking) assert_array_almost_equal(model.gains, digits_modular_gains, 4) assert_array_almost_equal(model.subset, X_digits_sparse[model.ranking].toarray()) jmschrei-apricot-bf86e69/tests/test_functions/test_mixture_graph_based.py000066400000000000000000001133271414554015600272620ustar00rootroot00000000000000import scipy import numpy try: import cupy except: import numpy as cupy from apricot import MixtureSelection from apricot import FacilityLocationSelection from apricot import GraphCutSelection from apricot.optimizers import * from sklearn.datasets import load_digits from sklearn.metrics import pairwise_distances from numpy.testing import assert_almost_equal from numpy.testing import assert_array_equal from numpy.testing import assert_array_almost_equal digits_data = load_digits() X_digits = digits_data.data X_digits_cosine_sparse = scipy.sparse.csr_matrix((1 - pairwise_distances( X_digits, metric='cosine')) ** 2) X_digits_corr_cupy = cupy.array((1 - pairwise_distances( X_digits, metric='correlation')) ** 2) X_digits_cosine_cupy = cupy.array((1 - pairwise_distances( X_digits, metric='cosine')) ** 2) digits_corr_ranking = [424, 615, 452, 514, 1030, 269, 1747, 1545, 1295, 148, 1363, 1327, 1766, 509, 852, 818, 890, 1774, 138, 1320, 945, 248, 255, 1709, 768, 402, 823, 899, 1658, 1069, 1647, 923, 183, 1325, 459, 168, 657, 301, 761, 513, 1040, 426, 478, 742, 1632, 423, 1071, 814, 1199, 649, 1617, 1423, 903, 1794, 114, 102, 339, 448, 1381, 1352, 1346, 254, 1340, 1781, 978, 898, 721, 41, 491, 816, 997, 1737, 522, 1688, 1075, 913, 1323, 332, 249, 1757, 244, 405, 1668, 836, 1276, 352, 74, 684, 1455, 1433, 417, 1453, 1796, 1409, 1639, 736, 508, 1752, 420, 1760] digits_corr_gains = [957.5322, 330.2478, 254.6831, 251.206, 245.0905, 225.7705, 223.1784, 219.9972, 219.2199, 216.0972, 213.3351, 210.5622, 209.4755, 208.1544, 206.7405, 204.93, 204.522, 203.7405, 202.8789, 201.3152, 200.8991, 200.1773, 199.5643, 197.7437, 197.3154, 196.6495, 196.1545, 194.9538, 194.3206, 192.8184, 192.3224, 191.6689, 190.3903, 189.0685, 188.1243, 187.8275, 186.6411, 185.0932, 184.2903, 183.842, 183.3303, 182.6601, 181.9112, 180.7916, 180.3595, 179.6811, 179.4377, 178.8864, 178.0831, 177.3396, 176.8052, 176.3837, 175.9921, 175.4704, 174.8651, 174.4919, 173.9766, 173.1983, 172.7893, 172.5758, 171.5445, 171.1853, 170.9032, 170.4194, 169.8876, 169.1956, 168.6746, 168.3132, 167.8759, 167.4243, 166.7872, 165.9742, 165.5812, 165.0026, 164.6565, 164.167, 163.7766, 162.8939, 162.5745, 162.1263, 161.7664, 161.4983, 161.1224, 160.7753, 160.1076, 159.6627, 159.2873, 158.9297, 158.6049, 158.1738, 157.7336, 157.1569, 156.7355, 156.4312, 156.1812, 155.7283, 155.3701, 155.0292, 154.418, 154.0432] digits_euclidean_ranking = [945, 1327, 448, 923, 276, 426, 1026, 651, 1583, 114, 148, 1423, 1295, 255, 515, 1363, 547, 232, 1544, 955, 699, 607, 404, 1058, 768, 1040, 296, 1491, 814, 686, 459, 668, 293, 737, 1459, 378, 654, 1346, 1443, 1320, 1637, 1433, 1455, 254, 674, 478, 773, 816, 1450, 183, 1617, 269, 482, 170, 205, 1658, 742, 1453, 120, 284, 394, 264, 1696, 248, 1361, 330, 1383, 829, 1537, 274, 514, 1486, 888, 40, 419, 1529, 505, 1763, 684, 53, 405, 997, 1532, 872, 544, 335, 933, 281, 508, 339, 574, 521, 539, 879, 1187, 328, 835, 697, 1123, 836] digits_euclidean_gains = [9681446.3, 2484661.1, 2444711.8, 2293903.6, 2275176.2, 2235700.7, 2221801.7, 2207625.8, 2190108.0, 2177496.9, 2171467.0, 2166543.6, 2161585.6, 2153715.3, 2142803.6, 2134885.8, 2131767.5, 2126399.2, 2119268.2, 2115821.8, 2111996.6, 2107032.0, 2103319.7, 2096543.6, 2093119.3, 2087047.1, 2083877.7, 2080677.5, 2076910.3, 2073829.6, 2068572.5, 2065858.2, 2061714.3, 2057002.9, 2052908.2, 2049766.2, 2046509.7, 2043182.8, 2038671.2, 2033131.2, 2028417.4, 2025607.1, 2022035.2, 2018470.1, 2015333.3, 2010681.4, 2006781.6, 2002971.4, 1999041.2, 1995817.7, 1991182.0, 1987682.4, 1983833.3, 1980961.4, 1977563.7, 1974282.9, 1971292.9, 1968097.1, 1963874.4, 1959875.5, 1956835.8, 1953737.3, 1950422.9, 1946943.5, 1944247.4, 1940745.7, 1937767.0, 1934156.4, 1930520.8, 1926043.9, 1923402.3, 1920436.0, 1917812.6, 1914970.8, 1911951.5, 1908892.7, 1906314.3, 1903726.4, 1900097.3, 1897212.0, 1894373.1, 1889770.8, 1886297.2, 1883110.5, 1880186.7, 1877545.6, 1874497.6, 1871327.3, 1866850.1, 1863564.4, 1859998.0, 1857097.1, 1854710.4, 1850947.3, 1848393.1, 1845132.0, 1842794.7, 1837741.4, 1834617.1, 1831495.0] digits_cosine_ranking = [424, 615, 1030, 402, 514, 1747, 148, 509, 1766, 818, 269, 1363, 768, 1295, 452, 890, 138, 1774, 852, 185, 255, 1069, 1709, 459, 248, 1327, 168, 513, 899, 923, 945, 423, 183, 1320, 1658, 823, 898, 491, 1325, 478, 1040, 742, 352, 978, 1071, 903, 1781, 426, 1796, 332, 657, 301, 1794, 913, 814, 417, 1075, 1647, 505, 1340, 254, 1668, 649, 1433, 420, 1423, 721, 854, 684, 309, 1199, 1632, 736, 836, 114, 1455, 224, 405, 1737, 1453, 453, 296, 500, 339, 693, 1705, 761, 1763, 997, 508, 1276, 1757, 816, 1323, 1026, 1596, 448, 1545, 76, 1726] digits_cosine_gains = [1464.3202, 409.8125, 357.7419, 352.9304, 345.8749, 338.5499, 334.8922, 331.7992, 330.1259, 327.8876, 327.1878, 325.2868, 324.7755, 323.3606, 322.8546, 322.3117, 320.727, 319.4558, 317.9748, 316.9812, 315.9366, 314.6272, 313.954, 313.5249, 312.6064, 311.9777, 311.1738, 309.8506, 309.3497, 306.8928, 305.6599, 305.1896, 304.0379, 303.148, 302.6694, 302.075, 301.4275, 300.8761, 300.1981, 299.0383, 297.1896, 296.6456, 296.1498, 295.4601, 294.9541, 294.543, 293.2464, 292.4009, 291.8043, 291.1761, 290.7796, 289.1387, 288.6704, 288.0586, 287.4932, 286.8514, 286.4441, 285.8374, 285.2712, 284.6809, 284.2737, 283.4397, 283.055, 282.3092, 281.7608, 281.2045, 280.7276, 280.0204, 279.5876, 278.7367, 278.2878, 277.7987, 277.0733, 276.2545, 275.8347, 275.3892, 274.9112, 274.0533, 273.5174, 273.1525, 272.5565, 272.0778, 271.5116, 271.071, 270.6944, 270.1725, 269.7275, 269.0934, 268.5126, 268.0091, 267.5602, 266.9365, 266.2236, 265.8127, 265.2859, 264.8279, 264.4057, 263.872, 263.5162, 263.0823] digits_cosine_greedi_ranking = [424, 1766, 148, 138, 402, 1363, 945, 1030, 509, 768, 1069, 1295, 514, 615, 1747, 818, 890, 513, 248, 269, 923, 852, 1774, 183, 452, 459, 1327, 899, 255, 426, 168, 1423, 1320, 1323, 1709, 978, 478, 1658, 913, 814, 352, 1325, 903, 423, 332, 742, 898, 761, 491, 420, 1796, 1433, 823, 419, 649, 1794, 505, 1781, 1040, 1759, 185, 997, 657, 339, 1340, 412, 1075, 17, 684, 854, 405, 522, 721, 1276, 1647, 1071, 301, 1682, 1545, 1726, 309, 41, 244, 1690, 457, 417, 1649, 453, 1428, 1793, 693, 109, 591, 1393, 948, 1704, 542, 52, 331, 1641] digits_cosine_greedi_gains = [1464.3202, 407.5959, 349.2661, 330.6768, 344.9928, 332.7493, 321.2969, 343.6912, 330.5744, 328.727, 320.4867, 324.4858, 337.2288, 334.6355, 329.0956, 324.7697, 322.1504, 314.5276, 315.6515, 319.887, 310.8197, 316.3086, 316.9565, 308.2517, 318.3346, 312.5236, 311.5595, 309.844, 311.8585, 300.6039, 309.1181, 296.4878, 303.7425, 303.2108, 308.5394, 298.8348, 300.5579, 301.1397, 294.6515, 293.7151, 296.9657, 298.8378, 296.0371, 299.6898, 293.0309, 294.7472, 296.7244, 289.083, 296.3041, 287.9784, 291.1465, 286.9867, 294.649, 284.1909, 286.9657, 287.7189, 286.4448, 288.1401, 289.7308, 279.0076, 286.7833, 279.8429, 286.188, 280.8258, 282.8624, 277.1444, 279.7718, 273.966, 279.6056, 278.5453, 276.9876, 274.6063, 276.1162, 273.9862, 278.0959, 282.386, 275.5896, 268.7937, 270.7513, 271.8441, 274.0963, 265.894, 267.1621, 265.1507, 262.735, 274.3377, 258.5314, 266.2975, 263.023, 262.9865, 268.3422, 261.1778, 244.0778, 262.1116, 251.3201, 257.1708, 250.6925, 234.3935, 254.2639, 241.2629] digits_cosine_approx_ranking = [424, 615, 452, 1295, 509, 890, 138, 185, 1030, 899, 1747, 269, 1766, 514, 1069, 852, 423, 923, 768, 459, 818, 1774, 491, 513, 352, 148, 1075, 945, 1327, 1363, 402, 1071, 823, 332, 978, 1423, 1709, 814, 248, 255, 254, 657, 1433, 913, 168, 1040, 309, 426, 508, 997, 1455, 296, 1199, 1325, 183, 686, 1647, 1453, 1658, 1737, 515, 1668, 736, 1320, 693, 898, 1794, 1757, 478, 742, 1781, 903, 1340, 1796, 301, 854, 453, 420, 649, 505, 339, 1632, 114, 761, 721, 76, 836, 224, 417, 1323, 1763, 1545, 1736, 405, 1276, 448, 684, 1705, 669, 419] digits_cosine_approx_gains = [1464.3202, 409.8125, 355.8973, 337.1536, 338.603, 334.6332, 327.4835, 332.0559, 336.986, 324.492, 332.9814, 329.3203, 328.0008, 324.2584, 318.6579, 319.5194, 312.6497, 312.8434, 321.7955, 314.3747, 322.7808, 317.7776, 307.2386, 311.6358, 305.2872, 323.2564, 303.5155, 307.3318, 311.2204, 315.855, 311.7815, 302.8176, 302.4257, 298.5372, 299.4686, 294.7835, 307.7774, 294.6846, 306.0374, 306.9195, 293.0625, 295.0703, 291.1347, 292.6244, 302.8187, 295.166, 288.5487, 292.3242, 285.8501, 285.0467, 285.9749, 284.8052, 285.898, 293.2744, 293.7613, 281.2778, 286.542, 282.3119, 291.9742, 281.4734, 279.1016, 283.671, 280.9888, 285.1791, 278.7845, 288.5932, 282.5049, 276.7215, 286.8471, 283.8127, 283.0595, 283.2037, 278.5408, 281.077, 279.7131, 276.8673, 274.2516, 276.2174, 276.6875, 276.6524, 272.7957, 274.0943, 272.21, 273.1331, 270.5371, 268.6535, 270.6709, 270.2242, 273.2398, 267.4328, 267.6318, 266.2455, 266.4325, 267.2235, 265.6243, 264.7812, 267.3172, 265.0701, 262.8586, 262.9712] digits_cosine_stochastic_ranking = [1081, 1014, 1386, 770, 567, 137, 723, 1491, 1274, 1492, 1728, 1456, 186, 1448, 386, 148, 891, 1759, 1424, 587, 191, 629, 1507, 1084, 1473, 946, 518, 638, 1739, 502, 1537, 1227, 689, 88, 238, 1667, 1785, 1067, 1461, 1222, 1099, 607, 364, 1572, 1195, 217, 1034, 208, 84, 1128, 425, 345, 626, 843, 1070, 83, 1449, 1071, 1644, 1392, 1415, 449, 802, 1348, 1553, 175, 1455, 1770, 1395, 1032, 879, 1220, 1137, 129, 754, 1695, 1459, 782, 549, 1069, 260, 834, 517, 919, 1622, 700, 424, 1685, 245, 1339, 1152, 1212, 1425, 937, 1665, 291, 1535, 701, 1508, 1219] digits_cosine_stochastic_gains = [1155.9385, 254.8155, 360.3138, 282.6132, 236.3255, 266.8341, 350.2697, 322.4336, 206.871, 238.7681, 262.7077, 295.0445, 263.0537, 307.3779, 303.8213, 365.73, 213.7843, 317.021, 259.0621, 262.3689, 220.9726, 250.0447, 273.275, 254.7376, 236.2742, 206.0356, 262.7957, 240.9132, 262.5503, 242.8142, 293.9653, 283.4526, 193.3127, 269.5029, 235.4814, 270.887, 262.0968, 272.0255, 262.5282, 234.3473, 245.3481, 270.3055, 235.1375, 186.677, 210.5494, 255.2077, 255.2398, 288.0392, 242.4625, 240.773, 273.5747, 283.8104, 247.1762, 255.0, 210.2734, 232.8511, 251.2321, 298.9408, 262.5918, 246.5624, 241.7203, 269.0865, 277.7033, 241.7952, 248.3954, 251.7519, 286.4213, 245.3896, 248.4624, 232.8217, 263.4509, 225.2678, 206.3469, 246.6863, 231.6677, 269.3534, 268.5371, 252.8494, 244.3021, 296.5371, 221.1392, 263.0767, 212.6504, 204.1959, 233.5965, 266.8103, 306.1608, 221.5655, 207.5582, 209.8983, 217.4947, 228.2527, 244.365, 231.299, 213.8048, 213.5623, 248.0197, 252.3993, 174.956, 210.9899] digits_cosine_sample_ranking = [424, 615, 1030, 514, 1747, 509, 1766, 768, 818, 269, 185, 1295, 890, 138, 1774, 852, 255, 1709, 1069, 522, 248, 1327, 168, 923, 423, 945, 183, 1658, 823, 491, 898, 1325, 478, 1075, 742, 1040, 352, 978, 903, 1071, 1781, 426, 1796, 332, 1794, 913, 1647, 301, 814, 417, 505, 1340, 420, 1668, 1423, 721, 684, 854, 309, 1632, 1199, 736, 1455, 224, 836, 114, 1453, 405, 1737, 296, 500, 339, 1705, 693, 761, 997, 1763, 508, 1276, 1026, 1323, 816, 448, 1596, 453, 419, 1726, 1545, 547, 1736, 1678, 370, 669, 686, 208, 515, 1284, 1759, 126, 74] digits_cosine_sample_gains = [1464.3202, 409.8125, 357.7419, 349.7638, 344.019, 333.6616, 331.3564, 330.7733, 328.7989, 327.4326, 326.3364, 325.0169, 323.9197, 322.4965, 321.0188, 319.4314, 317.9578, 316.7807, 316.228, 315.0714, 314.6453, 313.9382, 313.1161, 310.1544, 309.103, 308.2081, 306.9797, 305.9571, 305.218, 304.5775, 304.0841, 303.3675, 302.3388, 301.3635, 300.06, 299.4714, 298.9754, 298.4509, 297.7341, 297.245, 296.1614, 295.4268, 294.7741, 294.0317, 292.4587, 291.8016, 291.3888, 290.926, 290.3355, 289.686, 288.8004, 288.2831, 287.6514, 287.0812, 286.4034, 285.4221, 284.8761, 284.2295, 283.6803, 283.0425, 282.4516, 281.8893, 281.3542, 280.6605, 280.1731, 279.7562, 279.0967, 278.4143, 277.7055, 277.2929, 276.8125, 276.2901, 275.857, 275.2616, 274.7802, 274.2633, 273.8096, 273.3452, 272.7006, 271.9561, 271.3491, 270.9224, 270.4983, 269.9322, 269.5459, 269.0294, 268.583, 267.9683, 267.4714, 266.9448, 266.634, 266.0754, 265.5448, 264.9206, 264.4581, 264.0199, 263.2466, 262.8614, 262.3174, 261.748] digits_cosine_modular_ranking = [424, 148, 615, 1747, 1030, 1766, 818, 1363, 768, 509, 1774, 138, 1295, 402, 255, 1069, 1709, 852, 248, 1327, 168, 459, 890, 513, 899, 945, 452, 183, 423, 923, 1658, 1325, 491, 898, 742, 478, 352, 514, 823, 1040, 978, 903, 426, 1071, 1796, 269, 1794, 332, 1781, 657, 913, 814, 1340, 417, 254, 505, 1668, 1320, 1423, 684, 1433, 309, 114, 649, 420, 1455, 1453, 1647, 508, 224, 1632, 1705, 1763, 296, 301, 1737, 515, 836, 370, 1026, 997, 500, 1199, 736, 686, 1596, 76, 1757, 816, 693, 448, 339, 547, 721, 1726, 1678, 854, 405, 249, 1323] digits_cosine_modular_gains = [1464.3202, 379.668, 373.6321, 354.1949, 345.765, 332.1021, 329.4361, 327.2775, 331.9908, 330.0034, 322.7988, 324.0683, 323.538, 335.74, 318.7241, 318.0685, 316.6991, 319.3237, 315.4338, 314.4588, 313.767, 327.8905, 319.4338, 313.3453, 314.5868, 309.0388, 317.2022, 306.7897, 309.8489, 307.1568, 308.8679, 303.1924, 304.2899, 302.6674, 299.7269, 303.5833, 299.1892, 304.3989, 300.4859, 297.4696, 296.7541, 296.2466, 294.5349, 295.234, 293.8342, 300.5235, 291.2804, 291.9456, 291.9794, 291.5869, 289.3387, 288.8333, 287.6984, 287.7781, 286.9242, 288.5137, 285.6325, 292.0567, 284.4706, 283.2179, 283.3712, 282.0468, 280.8433, 283.41, 281.9369, 279.4637, 278.3677, 281.9862, 276.8678, 277.6657, 278.8126, 275.824, 275.296, 274.9688, 278.1863, 274.86, 271.9642, 274.5517, 271.13, 271.3635, 271.4965, 271.554, 273.1052, 272.9791, 268.1288, 268.6275, 268.0731, 268.5637, 267.7105, 268.0723, 267.3179, 267.6352, 265.4032, 268.3584, 264.5365, 263.7466, 281.4908, 265.798, 260.3703, 263.9768] # Test some similarity functions def test_digits_euclidean_naive(): model1 = FacilityLocationSelection(100) model2 = GraphCutSelection(100) model = MixtureSelection(100, [model1, model2], [1.0, 0.3], metric='euclidean', optimizer='naive') model.fit(X_digits) assert_array_equal(model.ranking, digits_euclidean_ranking) assert_array_almost_equal(model.gains, digits_euclidean_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_euclidean_lazy(): model1 = FacilityLocationSelection(100) model2 = GraphCutSelection(100) model = MixtureSelection(100, [model1, model2], [1.0, 0.3], metric='euclidean', optimizer='lazy') model.fit(X_digits) assert_array_equal(model.ranking, digits_euclidean_ranking) assert_array_almost_equal(model.gains, digits_euclidean_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_euclidean_two_stage(): model1 = FacilityLocationSelection(100) model2 = GraphCutSelection(100) model = MixtureSelection(100, [model1, model2], [1.0, 0.3], metric='euclidean', optimizer='two-stage') model.fit(X_digits) assert_array_equal(model.ranking, digits_euclidean_ranking) assert_array_almost_equal(model.gains, digits_euclidean_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_corr_naive(): model1 = FacilityLocationSelection(100) model2 = GraphCutSelection(100) model = MixtureSelection(100, [model1, model2], [1.0, 0.3], metric='corr', optimizer='naive') model.fit(X_digits) assert_array_equal(model.ranking, digits_corr_ranking) assert_array_almost_equal(model.gains, digits_corr_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_corr_lazy(): model1 = FacilityLocationSelection(100) model2 = GraphCutSelection(100) model = MixtureSelection(100, [model1, model2], [1.0, 0.3], metric='corr', optimizer='lazy') model.fit(X_digits) assert_array_equal(model.ranking, digits_corr_ranking) assert_array_almost_equal(model.gains, digits_corr_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_corr_two_stage(): model1 = FacilityLocationSelection(100) model2 = GraphCutSelection(100) model = MixtureSelection(100, [model1, model2], [1.0, 0.3], metric='corr', optimizer='two-stage') model.fit(X_digits) assert_array_equal(model.ranking, digits_corr_ranking) assert_array_almost_equal(model.gains, digits_corr_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_naive(): model1 = FacilityLocationSelection(100) model2 = GraphCutSelection(100) model = MixtureSelection(100, [model1, model2], [1.0, 0.3], metric='cosine', optimizer='naive') model.fit(X_digits) assert_array_equal(model.ranking, digits_cosine_ranking) assert_array_almost_equal(model.gains, digits_cosine_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_lazy(): model1 = FacilityLocationSelection(100) model2 = GraphCutSelection(100) model = MixtureSelection(100, [model1, model2], [1.0, 0.3], metric='cosine', optimizer='lazy') model.fit(X_digits) assert_array_equal(model.ranking, digits_cosine_ranking) assert_array_almost_equal(model.gains, digits_cosine_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_two_stage(): model1 = FacilityLocationSelection(100) model2 = GraphCutSelection(100) model = MixtureSelection(100, [model1, model2], [1.0, 0.3], metric='cosine', optimizer='two-stage') model.fit(X_digits) assert_array_equal(model.ranking, digits_cosine_ranking) assert_array_almost_equal(model.gains, digits_cosine_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_precomputed_naive(): model1 = FacilityLocationSelection(100) model2 = GraphCutSelection(100) model = MixtureSelection(100, [model1, model2], [1.0, 0.3], metric='precomputed', optimizer='naive') model.fit(X_digits_cosine_cupy) assert_array_equal(model.ranking, digits_cosine_ranking) assert_array_almost_equal(model.gains, digits_cosine_gains, 4) def test_digits_precomputed_lazy(): model1 = FacilityLocationSelection(100) model2 = GraphCutSelection(100) model = MixtureSelection(100, [model1, model2], [1.0, 0.3], metric='precomputed', optimizer='lazy') model.fit(X_digits_cosine_cupy) assert_array_equal(model.ranking, digits_cosine_ranking) assert_array_almost_equal(model.gains, digits_cosine_gains, 4) def test_digits_precomputed_two_stage(): model1 = FacilityLocationSelection(100) model2 = GraphCutSelection(100) model = MixtureSelection(100, [model1, model2], [1.0, 0.3], metric='precomputed', optimizer='two-stage') model.fit(X_digits_cosine_cupy) assert_array_equal(model.ranking, digits_cosine_ranking) assert_array_almost_equal(model.gains, digits_cosine_gains, 4) # Test with initialization def test_digits_euclidean_naive_init(): model1 = FacilityLocationSelection(100) model2 = GraphCutSelection(100) model = MixtureSelection(100, [model1, model2], [1.0, 0.3], metric='euclidean', optimizer='naive', initial_subset=digits_euclidean_ranking[:5]) model.fit(X_digits) assert_array_equal(model.ranking[:20], digits_euclidean_ranking[5:25]) assert_array_almost_equal(model.gains[:20], digits_euclidean_gains[5:25], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_euclidean_lazy_init(): model1 = FacilityLocationSelection(100) model2 = GraphCutSelection(100) model = MixtureSelection(100, [model1, model2], [1.0, 0.3], metric='euclidean', optimizer='lazy', initial_subset=digits_euclidean_ranking[:5]) model.fit(X_digits) assert_array_equal(model.ranking[:-5], digits_euclidean_ranking[5:]) assert_array_almost_equal(model.gains[:-5], digits_euclidean_gains[5:], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_euclidean_two_stage_init(): model1 = FacilityLocationSelection(100) model2 = GraphCutSelection(100) model = MixtureSelection(100, [model1, model2], [1.0, 0.3], metric='euclidean', optimizer='two-stage', initial_subset=digits_euclidean_ranking[:5]) model.fit(X_digits) assert_array_equal(model.ranking[:-5], digits_euclidean_ranking[5:]) assert_array_almost_equal(model.gains[:-5], digits_euclidean_gains[5:], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_corr_naive_init(): model1 = FacilityLocationSelection(100) model2 = GraphCutSelection(100) model = MixtureSelection(100, [model1, model2], [1.0, 0.3], metric='corr', optimizer='naive', initial_subset=digits_corr_ranking[:5]) model.fit(X_digits) assert_array_equal(model.ranking[:-5], digits_corr_ranking[5:]) assert_array_almost_equal(model.gains[:-5], digits_corr_gains[5:], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_corr_lazy_init(): model1 = FacilityLocationSelection(100) model2 = GraphCutSelection(100) model = MixtureSelection(100, [model1, model2], [1.0, 0.3], metric='corr', optimizer='lazy', initial_subset=digits_corr_ranking[:5]) model.fit(X_digits) assert_array_equal(model.ranking[:-5], digits_corr_ranking[5:]) assert_array_almost_equal(model.gains[:-5], digits_corr_gains[5:], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_corr_two_stage_init(): model1 = FacilityLocationSelection(100) model2 = GraphCutSelection(100) model = MixtureSelection(100, [model1, model2], [1.0, 0.3], metric='corr', optimizer='two-stage', initial_subset=digits_corr_ranking[:5]) model.fit(X_digits) assert_array_equal(model.ranking[:-5], digits_corr_ranking[5:]) assert_array_almost_equal(model.gains[:-5], digits_corr_gains[5:], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_naive_init(): model1 = FacilityLocationSelection(100) model2 = GraphCutSelection(100) model = MixtureSelection(100, [model1, model2], [1.0, 0.3], metric='cosine', optimizer='naive', initial_subset=digits_cosine_ranking[:5]) model.fit(X_digits) assert_array_equal(model.ranking[:-5], digits_cosine_ranking[5:]) assert_array_almost_equal(model.gains[:-5], digits_cosine_gains[5:], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_lazy_init(): model1 = FacilityLocationSelection(100) model2 = GraphCutSelection(100) model = MixtureSelection(100, [model1, model2], [1.0, 0.3], metric='cosine', optimizer='lazy', initial_subset=digits_cosine_ranking[:5]) model.fit(X_digits) assert_array_equal(model.ranking[:-5], digits_cosine_ranking[5:]) assert_array_almost_equal(model.gains[:-5], digits_cosine_gains[5:], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_two_stage_init(): model1 = FacilityLocationSelection(100) model2 = GraphCutSelection(100) model = MixtureSelection(100, [model1, model2], [1.0, 0.3], metric='cosine', optimizer='two-stage', initial_subset=digits_cosine_ranking[:5]) model.fit(X_digits) assert_array_equal(model.ranking[:-5], digits_cosine_ranking[5:]) assert_array_almost_equal(model.gains[:-5], digits_cosine_gains[5:], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_precomputed_naive_init(): model1 = FacilityLocationSelection(100) model2 = GraphCutSelection(100) model = MixtureSelection(100, [model1, model2], [1.0, 0.3], metric='precomputed', optimizer='naive', initial_subset=digits_cosine_ranking[:5]) model.fit(X_digits_cosine_cupy) assert_array_equal(model.ranking[:-5], digits_cosine_ranking[5:]) assert_array_almost_equal(model.gains[:-5], digits_cosine_gains[5:], 4) def test_digits_precomputed_lazy_init(): model1 = FacilityLocationSelection(100) model2 = GraphCutSelection(100) model = MixtureSelection(100, [model1, model2], [1.0, 0.3], metric='precomputed', optimizer='lazy', initial_subset=digits_cosine_ranking[:5]) model.fit(X_digits_cosine_cupy) assert_array_equal(model.ranking[:-5], digits_cosine_ranking[5:]) assert_array_almost_equal(model.gains[:-5], digits_cosine_gains[5:], 4) def test_digits_precomputed_two_stage_init(): model1 = FacilityLocationSelection(100) model2 = GraphCutSelection(100) model = MixtureSelection(100, [model1, model2], [1.0, 0.3], metric='precomputed', optimizer='two-stage', initial_subset=digits_cosine_ranking[:5]) model.fit(X_digits_cosine_cupy) assert_array_equal(model.ranking[:-5], digits_cosine_ranking[5:]) assert_array_almost_equal(model.gains[:-5], digits_cosine_gains[5:], 4) # Test all optimizers def test_digits_cosine_greedi_nn(): model1 = FacilityLocationSelection(100) model2 = GraphCutSelection(100) model = MixtureSelection(100, [model1, model2], [1.0, 0.3], metric='cosine', optimizer='greedi', optimizer_kwds={'optimizer1': 'naive', 'optimizer2': 'naive'}, random_state=0) model.fit(X_digits) assert_array_equal(model.ranking[:50], digits_cosine_greedi_ranking[:50]) assert_array_almost_equal(model.gains[:50], digits_cosine_greedi_gains[:50], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_greedi_ll(): model1 = FacilityLocationSelection(100) model2 = GraphCutSelection(100) model = MixtureSelection(100, [model1, model2], [1.0, 0.3], metric='cosine', optimizer='greedi', optimizer_kwds={'optimizer1': 'lazy', 'optimizer2': 'lazy'}, random_state=0) model.fit(X_digits) assert_array_equal(model.ranking[:30], digits_cosine_greedi_ranking[:30]) assert_array_almost_equal(model.gains[:30], digits_cosine_greedi_gains[:30], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_greedi_ln(): model1 = FacilityLocationSelection(100) model2 = GraphCutSelection(100) model = MixtureSelection(100, [model1, model2], [1.0, 0.3], metric='cosine', optimizer='greedi', optimizer_kwds={'optimizer1': 'lazy', 'optimizer2': 'naive'}, random_state=0) model.fit(X_digits) assert_array_equal(model.ranking, digits_cosine_greedi_ranking) assert_array_almost_equal(model.gains, digits_cosine_greedi_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_greedi_nl(): model1 = FacilityLocationSelection(100) model2 = GraphCutSelection(100) model = MixtureSelection(100, [model1, model2], [1.0, 0.3], metric='cosine', optimizer='greedi', optimizer_kwds={'optimizer1': 'naive', 'optimizer2': 'lazy'}, random_state=0) model.fit(X_digits) assert_array_equal(model.ranking[:30], digits_cosine_greedi_ranking[:30]) assert_array_almost_equal(model.gains[:30], digits_cosine_greedi_gains[:30], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_approximate(): model1 = FacilityLocationSelection(100) model2 = GraphCutSelection(100) model = MixtureSelection(100, [model1, model2], [1.0, 0.3], metric='cosine', optimizer='approximate-lazy', random_state=0) model.fit(X_digits) assert_array_equal(model.ranking, digits_cosine_approx_ranking) assert_array_almost_equal(model.gains, digits_cosine_approx_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_stochastic(): model1 = FacilityLocationSelection(100) model2 = GraphCutSelection(100) model = MixtureSelection(100, [model1, model2], [1.0, 0.3], metric='cosine', optimizer='stochastic', random_state=0) model.fit(X_digits) assert_array_equal(model.ranking, digits_cosine_stochastic_ranking) assert_array_almost_equal(model.gains, digits_cosine_stochastic_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_sample(): model1 = FacilityLocationSelection(100) model2 = GraphCutSelection(100) model = MixtureSelection(100, [model1, model2], [1.0, 0.3], metric='cosine', optimizer='sample', random_state=0) model.fit(X_digits) assert_array_equal(model.ranking, digits_cosine_sample_ranking) assert_array_almost_equal(model.gains, digits_cosine_sample_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_modular(): model1 = FacilityLocationSelection(100) model2 = GraphCutSelection(100) model = MixtureSelection(100, [model1, model2], [1.0, 0.3], metric='cosine', optimizer='modular', random_state=0) model.fit(X_digits) assert_array_equal(model.ranking, digits_cosine_modular_ranking) assert_array_almost_equal(model.gains, digits_cosine_modular_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) # Using Optimizer Objects def test_digits_cosine_naive_object(): model1 = FacilityLocationSelection(100) model2 = GraphCutSelection(100) model = MixtureSelection(100, [model1, model2], [1.0, 0.3], metric='cosine', optimizer=NaiveGreedy(random_state=0)) model.fit(X_digits) assert_array_equal(model.ranking, digits_cosine_ranking) assert_array_almost_equal(model.gains, digits_cosine_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_lazy_object(): model1 = FacilityLocationSelection(100) model2 = GraphCutSelection(100) model = MixtureSelection(100, [model1, model2], [1.0, 0.3], metric='cosine', optimizer=LazyGreedy(random_state=0)) model.fit(X_digits) assert_array_equal(model.ranking, digits_cosine_ranking) assert_array_almost_equal(model.gains, digits_cosine_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_two_stage_object(): model1 = FacilityLocationSelection(100) model2 = GraphCutSelection(100) model = MixtureSelection(100, [model1, model2], [1.0, 0.3], metric='cosine', optimizer=TwoStageGreedy(random_state=0)) model.fit(X_digits) assert_array_equal(model.ranking, digits_cosine_ranking) assert_array_almost_equal(model.gains, digits_cosine_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_greedi_nn_object(): model1 = FacilityLocationSelection(100) model2 = GraphCutSelection(100) model = MixtureSelection(100, [model1, model2], [1.0, 0.3], metric='cosine', optimizer=GreeDi(optimizer1='naive', optimizer2='naive', random_state=0)) model.fit(X_digits) assert_array_equal(model.ranking, digits_cosine_greedi_ranking) assert_array_almost_equal(model.gains, digits_cosine_greedi_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_greedi_ll_object(): model1 = FacilityLocationSelection(100) model2 = GraphCutSelection(100) model = MixtureSelection(100, [model1, model2], [1.0, 0.3], metric='cosine', optimizer=GreeDi(optimizer1='lazy', optimizer2='lazy', random_state=0)) model.fit(X_digits) assert_array_equal(model.ranking[:30], digits_cosine_greedi_ranking[:30]) assert_array_almost_equal(model.gains[:30], digits_cosine_greedi_gains[:30], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_greedi_ln_object(): model1 = FacilityLocationSelection(100) model2 = GraphCutSelection(100) model = MixtureSelection(100, [model1, model2], [1.0, 0.3], metric='cosine', optimizer=GreeDi(optimizer1='lazy', optimizer2='naive', random_state=0)) model.fit(X_digits) assert_array_equal(model.ranking, digits_cosine_greedi_ranking) assert_array_almost_equal(model.gains, digits_cosine_greedi_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_greedi_nl_object(): model1 = FacilityLocationSelection(100) model2 = GraphCutSelection(100) model = MixtureSelection(100, [model1, model2], [1.0, 0.3], metric='cosine', optimizer=GreeDi(optimizer1='naive', optimizer2='lazy', random_state=0)) model.fit(X_digits) assert_array_equal(model.ranking[:30], digits_cosine_greedi_ranking[:30]) assert_array_almost_equal(model.gains[:30], digits_cosine_greedi_gains[:30], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_approximate_object(): model1 = FacilityLocationSelection(100) model2 = GraphCutSelection(100) model = MixtureSelection(100, [model1, model2], [1.0, 0.3], metric='cosine', optimizer=ApproximateLazyGreedy(random_state=0)) model.fit(X_digits) assert_array_equal(model.ranking, digits_cosine_approx_ranking) assert_array_almost_equal(model.gains, digits_cosine_approx_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_stochastic_object(): model1 = FacilityLocationSelection(100) model2 = GraphCutSelection(100) model = MixtureSelection(100, [model1, model2], [1.0, 0.3], metric='cosine', optimizer=StochasticGreedy(random_state=0)) model.fit(X_digits) assert_array_equal(model.ranking, digits_cosine_stochastic_ranking) assert_array_almost_equal(model.gains, digits_cosine_stochastic_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_sample_object(): model1 = FacilityLocationSelection(100) model2 = GraphCutSelection(100) model = MixtureSelection(100, [model1, model2], [1.0, 0.3], metric='cosine', optimizer=SampleGreedy(random_state=0)) model.fit(X_digits) assert_array_equal(model.ranking, digits_cosine_sample_ranking) assert_array_almost_equal(model.gains, digits_cosine_sample_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_sqrt_modular_object(): model1 = FacilityLocationSelection(100) model2 = GraphCutSelection(100) model = MixtureSelection(100, [model1, model2], [1.0, 0.3], metric='cosine', optimizer=ModularGreedy(random_state=0)) model.fit(X_digits) assert_array_equal(model.ranking, digits_cosine_modular_ranking) assert_array_almost_equal(model.gains, digits_cosine_modular_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) # Test all optimizers on sparse data def test_digits_cosine_naive_sparse(): model1 = FacilityLocationSelection(100) model2 = GraphCutSelection(100) model = MixtureSelection(100, [model1, model2], [1.0, 0.3], metric='precomputed', optimizer='naive') model.fit(X_digits_cosine_sparse) assert_array_equal(model.ranking, digits_cosine_ranking) assert_array_almost_equal(model.gains, digits_cosine_gains, 4) def test_digits_cosine_lazy_sparse(): model1 = FacilityLocationSelection(100) model2 = GraphCutSelection(100) model = MixtureSelection(100, [model1, model2], [1.0, 0.3], metric='precomputed', optimizer='lazy') model.fit(X_digits_cosine_sparse) assert_array_equal(model.ranking, digits_cosine_ranking) assert_array_almost_equal(model.gains, digits_cosine_gains, 4) def test_digits_cosine_two_stage_sparse(): model1 = FacilityLocationSelection(100) model2 = GraphCutSelection(100) model = MixtureSelection(100, [model1, model2], [1.0, 0.3], metric='precomputed', optimizer='two-stage') model.fit(X_digits_cosine_sparse) assert_array_equal(model.ranking, digits_cosine_ranking) assert_array_almost_equal(model.gains, digits_cosine_gains, 4) def test_digits_cosine_greedi_nn_sparse(): model1 = FacilityLocationSelection(100) model2 = GraphCutSelection(100) model = MixtureSelection(100, [model1, model2], [1.0, 0.3], metric='precomputed', optimizer='greedi', optimizer_kwds={ 'optimizer1': 'naive', 'optimizer2': 'naive'}, random_state=0) model.fit(X_digits_cosine_sparse) assert_array_equal(model.ranking, digits_cosine_greedi_ranking) assert_array_almost_equal(model.gains, digits_cosine_greedi_gains, 4) def test_digits_cosine_greedi_ll_sparse(): model1 = FacilityLocationSelection(100) model2 = GraphCutSelection(100) model = MixtureSelection(100, [model1, model2], [1.0, 0.3], metric='precomputed', optimizer='greedi', optimizer_kwds={ 'optimizer1': 'lazy', 'optimizer2': 'lazy'}, random_state=0) model.fit(X_digits_cosine_sparse) assert_array_equal(model.ranking[:30], digits_cosine_greedi_ranking[:30]) assert_array_almost_equal(model.gains[:30], digits_cosine_greedi_gains[:30], 4) def test_digits_cosine_greedi_ln_sparse(): model1 = FacilityLocationSelection(100) model2 = GraphCutSelection(100) model = MixtureSelection(100, [model1, model2], [1.0, 0.3], metric='precomputed', optimizer='greedi', optimizer_kwds={'optimizer1': 'lazy', 'optimizer2': 'naive'}, random_state=0) model.fit(X_digits_cosine_sparse) assert_array_equal(model.ranking, digits_cosine_greedi_ranking) assert_array_almost_equal(model.gains, digits_cosine_greedi_gains, 4) def test_digits_cosine_greedi_nl_sparse(): model1 = FacilityLocationSelection(100) model2 = GraphCutSelection(100) model = MixtureSelection(100, [model1, model2], [1.0, 0.3], metric='precomputed', optimizer='greedi', optimizer_kwds={'optimizer1': 'naive', 'optimizer2': 'lazy'}, random_state=0) model.fit(X_digits_cosine_sparse) assert_array_equal(model.ranking[:30], digits_cosine_greedi_ranking[:30]) assert_array_almost_equal(model.gains[:30], digits_cosine_greedi_gains[:30], 4) def test_digits_cosine_approximate_sparse(): model1 = FacilityLocationSelection(100) model2 = GraphCutSelection(100) model = MixtureSelection(100, [model1, model2], [1.0, 0.3], metric='precomputed', optimizer='approximate-lazy', random_state=0) model.fit(X_digits_cosine_sparse) assert_array_equal(model.ranking, digits_cosine_approx_ranking) assert_array_almost_equal(model.gains, digits_cosine_approx_gains, 4) def test_digits_cosine_stochastic_sparse(): model1 = FacilityLocationSelection(100) model2 = GraphCutSelection(100) model = MixtureSelection(100, [model1, model2], [1.0, 0.3], metric='precomputed', optimizer='stochastic', random_state=0) model.fit(X_digits_cosine_sparse) assert_array_equal(model.ranking, digits_cosine_stochastic_ranking) assert_array_almost_equal(model.gains, digits_cosine_stochastic_gains, 4) def test_digits_cosine_sample_sparse(): model1 = FacilityLocationSelection(100) model2 = GraphCutSelection(100) model = MixtureSelection(100, [model1, model2], [1.0, 0.3], metric='precomputed', optimizer='sample', random_state=0) model.fit(X_digits_cosine_sparse) assert_array_equal(model.ranking, digits_cosine_sample_ranking) assert_array_almost_equal(model.gains, digits_cosine_sample_gains, 4) def test_digits_cosine_modular_sparse(): model1 = FacilityLocationSelection(100) model2 = GraphCutSelection(100) model = MixtureSelection(100, [model1, model2], [1.0, 0.3], metric='precomputed', optimizer='modular', random_state=0) model.fit(X_digits_cosine_sparse) assert_array_equal(model.ranking, digits_cosine_modular_ranking) assert_array_almost_equal(model.gains, digits_cosine_modular_gains, 4) jmschrei-apricot-bf86e69/tests/test_functions/test_saturated_coverage.py000066400000000000000000001030421414554015600271060ustar00rootroot00000000000000import scipy import numpy try: import cupy except: import numpy as cupy from apricot import SaturatedCoverageSelection from apricot.optimizers import * from sklearn.datasets import load_digits from sklearn.metrics import pairwise_distances from numpy.testing import assert_almost_equal from numpy.testing import assert_array_equal from numpy.testing import assert_array_almost_equal digits_data = load_digits() X_digits = digits_data.data X_digits_cosine_sparse = scipy.sparse.csr_matrix((1 - pairwise_distances( X_digits, metric='cosine')) ** 2) X_digits_corr_cupy = cupy.array((1 - pairwise_distances( X_digits, metric='correlation')) ** 2) X_digits_cosine_cupy = cupy.array((1 - pairwise_distances( X_digits, metric='cosine')) ** 2) digits_corr_ranking = [424, 615, 148, 1363, 1747, 1030, 1766, 1327, 818, 1295, 1774, 509, 138, 255, 852, 945, 248, 1709, 402, 768, 1069, 899, 1658, 183, 168, 823, 890, 1325, 923, 452, 657, 426, 269, 1040, 459, 513, 1647, 742, 1794, 514, 1071, 1320, 114, 814, 478, 903, 1632, 1423, 423, 649, 1199, 1340, 978, 1781, 448, 254, 1617, 301, 249, 339, 816, 913, 997, 898, 1737, 508, 1688, 352, 491, 1346, 721, 1453, 332, 1757, 1455, 684, 1409, 1668, 1752, 836, 1796, 761, 1763, 1433, 515, 1760, 224, 74, 1323, 846, 1705, 76, 1352, 417, 123, 1678, 102, 1026, 1596, 1726] digits_corr_gains = [736.794, 728.7945, 726.0041, 721.1145, 718.5609, 717.6458, 709.1748, 708.2061, 705.2339, 702.4296, 701.5875, 700.3459, 696.0746, 695.4157, 693.8984, 693.8288, 693.3028, 689.4966, 685.9117, 685.0159, 682.5688, 679.713, 676.2974, 676.0061, 673.5937, 670.5503, 668.8547, 668.4239, 666.6083, 664.9959, 663.5193, 662.774, 660.7986, 660.3805, 659.2781, 659.2689, 659.1084, 657.6543, 653.8686, 653.2742, 651.7059, 650.3496, 649.7362, 648.6875, 647.2088, 646.7462, 645.4554, 643.6405, 643.2375, 641.2061, 640.5451, 640.536, 638.406, 637.9054, 637.4893, 636.7768, 636.2113, 635.0522, 634.1, 633.9916, 632.4109, 632.0167, 631.4498, 630.8923, 630.6696, 629.6054, 629.5616, 628.5034, 628.2588, 628.0632, 627.9028, 627.7535, 627.5283, 627.3801, 626.2458, 626.0258, 625.5498, 625.5167, 624.071, 623.6636, 623.408, 623.1698, 623.0551, 621.8752, 621.3288, 621.1112, 619.3935, 619.3573, 618.5579, 617.6756, 617.3202, 617.227, 616.728, 615.7226, 614.7519, 614.7003, 614.2642, 613.366, 613.0137, 612.0439] digits_euclidean_ranking = [945, 426, 923, 1026, 448, 1327, 1423, 114, 255, 1295, 148, 515, 1363, 955, 699, 1583, 1544, 547, 768, 404, 686, 296, 814, 654, 607, 1443, 378, 459, 1491, 1433, 1455, 674, 773, 1637, 737, 254, 1453, 1058, 293, 183, 816, 478, 264, 742, 482, 1658, 1346, 394, 1320, 248, 1537, 997, 269, 684, 170, 1040, 514, 1763, 1450, 933, 274, 829, 284, 508, 120, 1529, 505, 1617, 651, 419, 40, 544, 1383, 1486, 405, 1361, 879, 913, 205, 424, 53, 872, 835, 1532, 281, 332, 445, 539, 836, 339, 330, 1123, 509, 383, 1720, 697, 1696, 138, 668, 1401] digits_euclidean_gains = [7448636.0, 7444064.0, 7419997.0, 7360582.0, 7331093.0, 7319478.0, 7300111.0, 7299052.0, 7292268.0, 7291891.0, 7272959.0, 7268681.0, 7253865.0, 7229771.0, 7228501.0, 7225051.0, 7223169.0, 7216252.0, 7213040.0, 7207400.0, 7203153.0, 7198716.0, 7197844.0, 7178426.0, 7171971.0, 7168551.0, 7156279.0, 7155638.0, 7154794.0, 7153284.0, 7150967.0, 7150588.0, 7138543.0, 7132505.0, 7130026.0, 7129684.0, 7123532.0, 7120791.0, 7120338.0, 7117866.0, 7117503.0, 7109115.0, 7108884.0, 7103022.0, 7097284.0, 7092916.0, 7088701.0, 7087043.0, 7081955.0, 7079572.0, 7071873.0, 7070167.0, 7070015.0, 7068784.0, 7068111.0, 7068048.0, 7061470.0, 7058259.0, 7058225.0, 7055013.0, 7053514.0, 7052815.0, 7052430.0, 7052118.0, 7051703.0, 7050078.0, 7050046.0, 7049387.0, 7047321.0, 7045948.0, 7045937.0, 7044698.0, 7043791.0, 7041027.0, 7038518.0, 7037093.0, 7035658.0, 7032707.0, 7028424.0, 7025738.0, 7023211.0, 7023044.0, 7021550.0, 7017815.0, 7017340.0, 7017282.0, 7015014.0, 7010927.0, 7008295.0, 7007353.0, 7006586.0, 6999532.0, 6998834.0, 6998447.0, 6995552.0, 6992601.0, 6992582.0, 6992160.0, 6984849.0, 6984833.0] digits_cosine_ranking = [424, 148, 615, 1747, 1030, 1766, 818, 1363, 768, 509, 1774, 138, 1295, 402, 255, 1069, 1709, 852, 248, 1327, 168, 459, 890, 513, 899, 945, 452, 183, 423, 923, 1658, 1325, 491, 898, 742, 478, 352, 514, 823, 1040, 978, 903, 426, 1071, 1796, 269, 1794, 332, 1781, 657, 913, 814, 1340, 417, 254, 505, 1668, 1320, 1423, 684, 1433, 309, 114, 649, 420, 1455, 1453, 1647, 508, 224, 1632, 1705, 1763, 296, 301, 1737, 515, 836, 370, 1026, 997, 500, 1199, 736, 686, 1596, 76, 1757, 816, 693, 448, 339, 547, 721, 1726, 1678, 854, 405, 249, 1323] digits_cosine_gains = [1126.631, 1119.2491, 1114.6764, 1114.0146, 1110.8235, 1110.1998, 1109.0872, 1099.6581, 1099.4984, 1097.6181, 1092.4825, 1092.2165, 1090.7929, 1085.771, 1085.6908, 1082.2874, 1082.2755, 1081.4922, 1080.6593, 1080.6257, 1079.8097, 1077.3409, 1076.2455, 1074.9927, 1073.112, 1067.7319, 1066.2536, 1064.4357, 1060.5119, 1060.4477, 1058.5315, 1058.294, 1057.8585, 1053.4475, 1053.4192, 1052.5984, 1052.5837, 1052.1729, 1052.11, 1051.9781, 1050.8002, 1050.2236, 1050.1859, 1049.3187, 1046.4134, 1046.1143, 1045.4878, 1045.0879, 1044.6597, 1042.6095, 1042.2074, 1038.2103, 1037.3861, 1035.6361, 1035.4754, 1034.9157, 1034.6184, 1033.9479, 1033.9346, 1033.8343, 1032.9832, 1030.7758, 1030.742, 1030.6396, 1030.3893, 1029.5897, 1029.4052, 1028.2788, 1028.2653, 1028.0231, 1027.5809, 1027.3385, 1027.3248, 1026.9142, 1025.5112, 1024.7626, 1024.1854, 1024.0951, 1023.6384, 1023.0316, 1022.314, 1022.2542, 1021.7879, 1021.4765, 1020.9766, 1020.9071, 1020.4493, 1020.3874, 1018.9646, 1018.9303, 1018.9035, 1017.9999, 1017.917, 1016.8509, 1016.8133, 1016.5919, 1016.1574, 1015.4388, 1015.015, 1014.406] digits_cosine_greedi_ranking = [424, 148, 138, 818, 509, 1363, 1766, 1069, 1030, 1747, 768, 615, 945, 1295, 248, 168, 513, 478, 1276, 899, 514, 452, 898, 1781, 1040, 332, 649, 301, 224, 1455, 749, 547, 392, 1793, 162, 25, 16, 28, 32, 34, 255, 1325, 459, 1071, 1340, 657, 846, 1726, 296, 684, 669, 761, 74, 1026, 1647, 854, 1772, 1323, 548, 0, 3, 20, 35, 37, 1327, 742, 1668, 423, 1760, 249, 775, 699, 339, 1410, 126, 1723, 1736, 667, 485, 455, 457, 468, 1558, 9, 11, 17, 19, 852, 814, 309, 1537, 453, 448, 836, 1759, 208, 451, 748, 445, 1792] digits_cosine_greedi_gains = [1126.631, 1119.2491, 1092.2165, 1109.0872, 1097.6181, 1099.6581, 1110.1998, 1082.2874, 1110.8235, 1114.0146, 1099.4984, 1114.6764, 1067.7319, 1090.7929, 1080.6593, 1079.8097, 1074.9927, 1052.5984, 1011.7786, 1073.112, 1052.1729, 1066.2536, 1053.4475, 1044.6597, 1051.9781, 1045.0879, 1030.6396, 1025.5112, 1028.0231, 1029.5897, 1002.4851, 1017.917, 994.7059, 988.0163, 916.1074, 828.9046, 791.3804, 949.2322, 929.9305, 848.3833, 1085.6908, 1058.294, 1077.3409, 1049.3187, 1037.3861, 1042.6095, 1011.0501, 1016.8133, 1026.9142, 1033.8343, 1012.7852, 1011.4212, 1005.6484, 1023.0316, 1028.2788, 1016.1574, 984.3362, 1014.406, 907.879, 873.4687, 871.881, 945.3447, 910.6865, 843.0415, 1080.6257, 1053.4192, 1034.6184, 1060.5119, 1001.9779, 1015.015, 1009.8758, 1005.6549, 1017.9999, 988.039, 1005.4937, 987.8275, 1010.1136, 976.1268, 990.0549, 980.8194, 981.1644, 976.0369, 905.9908, 918.82, 817.0471, 974.5432, 743.412, 1081.4922, 1038.2103, 1030.7758, 1007.5848, 999.7418, 1018.9035, 1024.0951, 1009.6634, 1000.3178, 987.1787, 986.6804, 1007.4064, 989.1554] digits_cosine_approx_ranking = [424, 148, 615, 1747, 1030, 1766, 818, 1363, 768, 509, 1774, 138, 1295, 402, 255, 1069, 1709, 852, 248, 1327, 168, 459, 890, 513, 899, 945, 452, 183, 423, 923, 1658, 1325, 491, 898, 742, 478, 352, 514, 823, 1040, 978, 903, 426, 1071, 1796, 269, 1794, 332, 1781, 657, 913, 814, 1340, 417, 254, 505, 1668, 1320, 1423, 684, 1433, 309, 114, 649, 420, 1455, 1453, 1647, 508, 224, 1632, 1705, 1763, 296, 301, 1737, 515, 836, 370, 1026, 997, 500, 1199, 736, 686, 1596, 76, 1757, 816, 693, 448, 339, 547, 721, 1726, 1678, 854, 405, 249, 1323] digits_cosine_approx_gains = [1126.631, 1119.2491, 1114.6764, 1114.0146, 1110.8235, 1110.1998, 1109.0872, 1099.6581, 1099.4984, 1097.6181, 1092.4825, 1092.2165, 1090.7929, 1085.771, 1085.6908, 1082.2874, 1082.2755, 1081.4922, 1080.6593, 1080.6257, 1079.8097, 1077.3409, 1076.2455, 1074.9927, 1073.112, 1067.7319, 1066.2536, 1064.4357, 1060.5119, 1060.4477, 1058.5315, 1058.294, 1057.8585, 1053.4475, 1053.4192, 1052.5984, 1052.5837, 1052.1729, 1052.11, 1051.9781, 1050.8002, 1050.2236, 1050.1859, 1049.3187, 1046.4134, 1046.1143, 1045.4878, 1045.0879, 1044.6597, 1042.6095, 1042.2074, 1038.2103, 1037.3861, 1035.6361, 1035.4754, 1034.9157, 1034.6184, 1033.9479, 1033.9346, 1033.8343, 1032.9832, 1030.7758, 1030.742, 1030.6396, 1030.3893, 1029.5897, 1029.4052, 1028.2788, 1028.2653, 1028.0231, 1027.5809, 1027.3385, 1027.3248, 1026.9142, 1025.5112, 1024.7626, 1024.1854, 1024.0951, 1023.6384, 1023.0316, 1022.314, 1022.2542, 1021.7879, 1021.4765, 1020.9766, 1020.9071, 1020.4493, 1020.3874, 1018.9646, 1018.9303, 1018.9035, 1017.9999, 1017.917, 1016.8509, 1016.8133, 1016.5919, 1016.1574, 1015.4388, 1015.015, 1014.406] digits_cosine_stochastic_ranking = [1081, 1014, 1386, 770, 567, 137, 723, 1491, 1274, 1492, 1728, 1456, 186, 1448, 386, 148, 891, 1759, 1424, 587, 191, 629, 1507, 1084, 1473, 946, 518, 638, 1739, 502, 1537, 1227, 689, 88, 238, 1667, 1785, 1067, 1461, 1222, 1099, 607, 364, 1572, 1195, 217, 1034, 208, 84, 1128, 425, 345, 626, 843, 1070, 83, 1449, 1071, 1644, 1392, 1415, 449, 802, 1348, 1553, 175, 1455, 1770, 1395, 1032, 879, 1220, 1137, 129, 754, 1695, 1459, 782, 549, 1069, 260, 834, 517, 919, 1622, 700, 424, 1685, 245, 1339, 1152, 1212, 1425, 937, 1665, 291, 1535, 701, 1508, 1219] digits_cosine_stochastic_gains = [889.4143, 783.6639, 859.115, 791.2481, 778.8383, 833.7737, 994.1403, 964.5607, 675.0311, 787.2753, 867.9847, 868.3858, 828.9468, 922.5752, 884.1671, 1119.2491, 723.1304, 1009.6634, 869.1274, 881.9403, 744.8806, 852.139, 929.622, 871.6638, 756.9338, 696.1716, 903.8396, 821.9581, 887.2578, 833.9313, 1007.5848, 965.7079, 660.9638, 886.8445, 807.7042, 927.6503, 897.7933, 941.881, 907.081, 800.3562, 851.6937, 938.5545, 821.2862, 649.5475, 732.8538, 874.5872, 859.9888, 1000.3178, 840.2265, 844.489, 957.844, 963.6975, 869.599, 900.5326, 742.8335, 827.2343, 883.1609, 1049.3187, 933.9916, 879.6359, 862.5694, 952.1149, 988.7095, 858.4486, 889.6854, 903.7716, 1029.5897, 883.6901, 894.9335, 839.2439, 954.7655, 818.5447, 743.4008, 891.9863, 830.7171, 978.0894, 968.5476, 920.4653, 893.0029, 1082.2874, 800.2828, 959.0716, 763.6543, 743.3563, 857.9948, 981.3566, 1126.631, 817.5022, 754.2749, 775.0972, 802.8483, 844.344, 908.9335, 857.8347, 791.2102, 795.907, 921.8723, 943.3603, 650.8075, 794.2805] digits_cosine_sample_ranking = [424, 615, 1747, 1030, 1766, 818, 768, 509, 1774, 138, 1295, 255, 1069, 1709, 852, 248, 1327, 168, 890, 945, 183, 423, 923, 1658, 1325, 491, 898, 742, 478, 352, 514, 823, 1040, 978, 903, 426, 1071, 1796, 269, 1794, 332, 1781, 913, 814, 1340, 417, 505, 1668, 1423, 684, 309, 114, 420, 1455, 1453, 1647, 508, 224, 1632, 1705, 1763, 296, 301, 1737, 515, 836, 370, 1026, 997, 500, 1199, 736, 686, 1596, 816, 693, 448, 339, 547, 721, 1726, 1678, 854, 405, 1323, 419, 773, 669, 1276, 1284, 761, 846, 185, 1443, 1736, 40, 775, 1759, 1305, 654] digits_cosine_sample_gains = [1126.631, 1114.6764, 1114.0146, 1110.8235, 1110.1998, 1109.0872, 1099.4984, 1097.6181, 1092.4825, 1092.2165, 1090.7929, 1085.6908, 1082.2874, 1082.2755, 1081.4922, 1080.6593, 1080.6257, 1079.8097, 1076.2455, 1067.7319, 1064.4357, 1060.5119, 1060.4477, 1058.5315, 1058.294, 1057.8585, 1053.4475, 1053.4192, 1052.5984, 1052.5837, 1052.1729, 1052.11, 1051.9781, 1050.8002, 1050.2236, 1050.1859, 1049.3187, 1046.4134, 1046.1143, 1045.4878, 1045.0879, 1044.6597, 1042.2074, 1038.2103, 1037.3861, 1035.6361, 1034.9157, 1034.6184, 1033.9346, 1033.8343, 1030.7758, 1030.742, 1030.3893, 1029.5897, 1029.4052, 1028.2788, 1028.2653, 1028.0231, 1027.5809, 1027.3385, 1027.3248, 1026.9142, 1025.5112, 1024.7626, 1024.1854, 1024.0951, 1023.6384, 1023.0316, 1022.314, 1022.2542, 1021.7879, 1021.4765, 1020.9766, 1020.9071, 1018.9646, 1018.9303, 1018.9035, 1017.9999, 1017.917, 1016.8509, 1016.8133, 1016.5919, 1016.1574, 1015.4388, 1014.406, 1014.1314, 1012.8243, 1012.7852, 1011.7786, 1011.651, 1011.4212, 1011.0501, 1010.9774, 1010.9712, 1010.1136, 1010.0059, 1009.8758, 1009.6634, 1009.2388, 1008.3862] digits_cosine_modular_ranking = [424, 148, 615, 1747, 1030, 1766, 818, 1363, 768, 509, 1774, 138, 1295, 402, 255, 1069, 1709, 852, 248, 1327, 168, 459, 890, 513, 899, 945, 452, 183, 423, 923, 1658, 1325, 491, 898, 742, 478, 352, 514, 823, 1040, 978, 903, 426, 1071, 1796, 269, 1794, 332, 1781, 657, 913, 814, 1340, 417, 254, 505, 1668, 1320, 1423, 684, 1433, 309, 114, 649, 420, 1455, 1453, 1647, 508, 224, 1632, 1705, 1763, 296, 301, 1737, 515, 836, 370, 1026, 997, 500, 1199, 736, 686, 1596, 76, 1757, 816, 693, 448, 339, 547, 721, 1726, 1678, 854, 405, 249, 1323] digits_cosine_modular_gains = [1126.631, 1119.2491, 1114.6764, 1114.0146, 1110.8235, 1110.1998, 1109.0872, 1099.6581, 1099.4984, 1097.6181, 1092.4825, 1092.2165, 1090.7929, 1085.771, 1085.6908, 1082.2874, 1082.2755, 1081.4922, 1080.6593, 1080.6257, 1079.8097, 1077.3409, 1076.2455, 1074.9927, 1073.112, 1067.7319, 1066.2536, 1064.4357, 1060.5119, 1060.4477, 1058.5315, 1058.294, 1057.8585, 1053.4475, 1053.4192, 1052.5984, 1052.5837, 1052.1729, 1052.11, 1051.9781, 1050.8002, 1050.2236, 1050.1859, 1049.3187, 1046.4134, 1046.1143, 1045.4878, 1045.0879, 1044.6597, 1042.6095, 1042.2074, 1038.2103, 1037.3861, 1035.6361, 1035.4754, 1034.9157, 1034.6184, 1033.9479, 1033.9346, 1033.8343, 1032.9832, 1030.7758, 1030.742, 1030.6396, 1030.3893, 1029.5897, 1029.4052, 1028.2788, 1028.2653, 1028.0231, 1027.5809, 1027.3385, 1027.3248, 1026.9142, 1025.5112, 1024.7626, 1024.1854, 1024.0951, 1023.6384, 1023.0316, 1022.314, 1022.2542, 1021.7879, 1021.4765, 1020.9766, 1020.9071, 1020.4493, 1020.3874, 1018.9646, 1018.9303, 1018.9035, 1017.9999, 1017.917, 1016.8509, 1016.8133, 1016.5919, 1016.1574, 1015.4388, 1015.015, 1014.406] # Test some similarity functions def test_digits_euclidean_naive(): model = SaturatedCoverageSelection(100, 'euclidean', optimizer='naive') model.fit(X_digits) assert_array_equal(model.ranking, digits_euclidean_ranking) assert_array_almost_equal(model.gains, digits_euclidean_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_euclidean_lazy(): model = SaturatedCoverageSelection(100, 'euclidean', optimizer='lazy') model.fit(X_digits) assert_array_equal(model.ranking, digits_euclidean_ranking) assert_array_almost_equal(model.gains, digits_euclidean_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_euclidean_two_stage(): model = SaturatedCoverageSelection(100, 'euclidean', optimizer='two-stage') model.fit(X_digits) assert_array_equal(model.ranking, digits_euclidean_ranking) assert_array_almost_equal(model.gains, digits_euclidean_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_corr_naive(): model = SaturatedCoverageSelection(100, 'corr', optimizer='naive') model.fit(X_digits) assert_array_equal(model.ranking, digits_corr_ranking) assert_array_almost_equal(model.gains, digits_corr_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_corr_lazy(): model = SaturatedCoverageSelection(100, 'corr', optimizer='lazy') model.fit(X_digits) assert_array_equal(model.ranking, digits_corr_ranking) assert_array_almost_equal(model.gains, digits_corr_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_corr_two_stage(): model = SaturatedCoverageSelection(100, 'corr', optimizer='two-stage') model.fit(X_digits) assert_array_equal(model.ranking, digits_corr_ranking) assert_array_almost_equal(model.gains, digits_corr_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_naive(): model = SaturatedCoverageSelection(100, 'cosine', optimizer='naive') model.fit(X_digits) assert_array_equal(model.ranking, digits_cosine_ranking) assert_array_almost_equal(model.gains, digits_cosine_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_lazy(): model = SaturatedCoverageSelection(100, 'cosine', optimizer='lazy') model.fit(X_digits) assert_array_equal(model.ranking, digits_cosine_ranking) assert_array_almost_equal(model.gains, digits_cosine_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_two_stage(): model = SaturatedCoverageSelection(100, 'cosine', optimizer='two-stage') model.fit(X_digits) assert_array_equal(model.ranking, digits_cosine_ranking) assert_array_almost_equal(model.gains, digits_cosine_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_precomputed_naive(): model = SaturatedCoverageSelection(100, 'precomputed', optimizer='naive') model.fit(X_digits_corr_cupy) assert_array_equal(model.ranking, digits_corr_ranking) assert_array_almost_equal(model.gains, digits_corr_gains, 4) def test_digits_precomputed_lazy(): model = SaturatedCoverageSelection(100, 'precomputed', optimizer='lazy') model.fit(X_digits_corr_cupy) assert_array_equal(model.ranking, digits_corr_ranking) assert_array_almost_equal(model.gains, digits_corr_gains, 4) def test_digits_precomputed_two_stage(): model = SaturatedCoverageSelection(100, 'precomputed', optimizer='two-stage') model.fit(X_digits_corr_cupy) assert_array_equal(model.ranking, digits_corr_ranking) assert_array_almost_equal(model.gains, digits_corr_gains, 4) # Test with initialization def test_digits_euclidean_naive_init(): model = SaturatedCoverageSelection(100, 'euclidean', optimizer='naive', initial_subset=digits_euclidean_ranking[:5]) model.fit(X_digits) assert_array_equal(model.ranking[:20], digits_euclidean_ranking[5:25]) assert_array_almost_equal(model.gains[:20], digits_euclidean_gains[5:25], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_euclidean_lazy_init(): model = SaturatedCoverageSelection(100, 'euclidean', optimizer='lazy', initial_subset=digits_euclidean_ranking[:5]) model.fit(X_digits) assert_array_equal(model.ranking[:-5], digits_euclidean_ranking[5:]) assert_array_almost_equal(model.gains[:-5], digits_euclidean_gains[5:], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_euclidean_two_stage_init(): model = SaturatedCoverageSelection(100, 'euclidean', optimizer='two-stage', initial_subset=digits_euclidean_ranking[:5]) model.fit(X_digits) assert_array_equal(model.ranking[:-5], digits_euclidean_ranking[5:]) assert_array_almost_equal(model.gains[:-5], digits_euclidean_gains[5:], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_corr_naive_init(): model = SaturatedCoverageSelection(100, 'corr', optimizer='naive', initial_subset=digits_corr_ranking[:5]) model.fit(X_digits) assert_array_equal(model.ranking[:-5], digits_corr_ranking[5:]) assert_array_almost_equal(model.gains[:-5], digits_corr_gains[5:], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_corr_lazy_init(): model = SaturatedCoverageSelection(100, 'corr', optimizer='lazy', initial_subset=digits_corr_ranking[:5]) model.fit(X_digits) assert_array_equal(model.ranking[:-5], digits_corr_ranking[5:]) assert_array_almost_equal(model.gains[:-5], digits_corr_gains[5:], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_corr_two_stage_init(): model = SaturatedCoverageSelection(100, 'corr', optimizer='two-stage', initial_subset=digits_corr_ranking[:5]) model.fit(X_digits) assert_array_equal(model.ranking[:-5], digits_corr_ranking[5:]) assert_array_almost_equal(model.gains[:-5], digits_corr_gains[5:], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_naive_init(): model = SaturatedCoverageSelection(100, 'cosine', optimizer='naive', initial_subset=digits_cosine_ranking[:5]) model.fit(X_digits) assert_array_equal(model.ranking[:-5], digits_cosine_ranking[5:]) assert_array_almost_equal(model.gains[:-5], digits_cosine_gains[5:], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_lazy_init(): model = SaturatedCoverageSelection(100, 'cosine', optimizer='lazy', initial_subset=digits_cosine_ranking[:5]) model.fit(X_digits) assert_array_equal(model.ranking[:-5], digits_cosine_ranking[5:]) assert_array_almost_equal(model.gains[:-5], digits_cosine_gains[5:], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_two_stage_init(): model = SaturatedCoverageSelection(100, 'cosine', optimizer='two-stage', initial_subset=digits_cosine_ranking[:5]) model.fit(X_digits) assert_array_equal(model.ranking[:-5], digits_cosine_ranking[5:]) assert_array_almost_equal(model.gains[:-5], digits_cosine_gains[5:], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_precomputed_naive_init(): model = SaturatedCoverageSelection(100, 'precomputed', optimizer='naive', initial_subset=digits_cosine_ranking[:5]) model.fit(X_digits_cosine_cupy) assert_array_equal(model.ranking[:-5], digits_cosine_ranking[5:]) assert_array_almost_equal(model.gains[:-5], digits_cosine_gains[5:], 4) def test_digits_precomputed_lazy_init(): model = SaturatedCoverageSelection(100, 'precomputed', optimizer='lazy', initial_subset=digits_cosine_ranking[:5]) model.fit(X_digits_cosine_cupy) assert_array_equal(model.ranking[:-5], digits_cosine_ranking[5:]) assert_array_almost_equal(model.gains[:-5], digits_cosine_gains[5:], 4) def test_digits_precomputed_two_stage_init(): model = SaturatedCoverageSelection(100, 'precomputed', optimizer='two-stage', initial_subset=digits_cosine_ranking[:5]) model.fit(X_digits_cosine_cupy) assert_array_equal(model.ranking[:-5], digits_cosine_ranking[5:]) assert_array_almost_equal(model.gains[:-5], digits_cosine_gains[5:], 4) # Test all optimizers def test_digits_cosine_greedi_nn(): model = SaturatedCoverageSelection(100, 'cosine', optimizer='greedi', optimizer_kwds={'optimizer1': 'naive', 'optimizer2': 'naive'}, random_state=0) model.fit(X_digits) assert_array_equal(model.ranking, digits_cosine_greedi_ranking) assert_array_almost_equal(model.gains, digits_cosine_greedi_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_greedi_ll(): model = SaturatedCoverageSelection(100, 'cosine', optimizer='greedi', optimizer_kwds={'optimizer1': 'lazy', 'optimizer2': 'lazy'}, random_state=0) model.fit(X_digits) assert_array_equal(model.ranking[:2], digits_cosine_greedi_ranking[:2]) assert_array_almost_equal(model.gains[:2], digits_cosine_greedi_gains[:2], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_greedi_ln(): model = SaturatedCoverageSelection(100, 'cosine', optimizer='greedi', optimizer_kwds={'optimizer1': 'lazy', 'optimizer2': 'naive'}, random_state=0) model.fit(X_digits) assert_array_equal(model.ranking[:2], digits_cosine_greedi_ranking[:2]) assert_array_almost_equal(model.gains[:2], digits_cosine_greedi_gains[:2], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_greedi_nl(): model = SaturatedCoverageSelection(100, 'cosine', optimizer='greedi', optimizer_kwds={'optimizer1': 'naive', 'optimizer2': 'lazy'}, random_state=0) model.fit(X_digits) assert_array_equal(model.ranking[:2], digits_cosine_greedi_ranking[:2]) assert_array_almost_equal(model.gains[:2], digits_cosine_greedi_gains[:2], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_approximate(): model = SaturatedCoverageSelection(100, 'cosine', optimizer='approximate-lazy') model.fit(X_digits) assert_array_equal(model.ranking, digits_cosine_approx_ranking) assert_array_almost_equal(model.gains, digits_cosine_approx_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_stochastic(): model = SaturatedCoverageSelection(100, 'cosine', optimizer='stochastic', random_state=0) model.fit(X_digits) assert_array_equal(model.ranking, digits_cosine_stochastic_ranking) assert_array_almost_equal(model.gains, digits_cosine_stochastic_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_sample(): model = SaturatedCoverageSelection(100, 'cosine', optimizer='sample', random_state=0) model.fit(X_digits) assert_array_equal(model.ranking, digits_cosine_sample_ranking) assert_array_almost_equal(model.gains, digits_cosine_sample_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_sqrt_modular(): model = SaturatedCoverageSelection(100, 'cosine', optimizer='modular', random_state=0) model.fit(X_digits) assert_array_equal(model.ranking, digits_cosine_modular_ranking) assert_array_almost_equal(model.gains, digits_cosine_modular_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) # Using the partial_fit method def test_digits_cosine_sieve_batch(): return model = SaturatedCoverageSelection(100, 'cosine', random_state=0, reservoir=X_digits) model.partial_fit(X_digits) print("[" + ", ".join(map(str, model.ranking)) + "]") print("[" + ", ".join([str(round(gain, 4)) for gain in model.gains]) + "]") assert_array_equal(model.ranking, digits_cosine_sieve_ranking) assert_array_almost_equal(model.gains, digits_cosine_sieve_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_sieve_minibatch(): return model = SaturatedCoverageSelection(100, 'cosine', random_state=0, reservoir=X_digits) model.partial_fit(X_digits[:300]) model.partial_fit(X_digits[300:500]) model.partial_fit(X_digits[500:]) assert_array_equal(model.ranking, digits_cosine_sieve_ranking) assert_array_almost_equal(model.gains, digits_cosine_sieve_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) # Using Optimizer Objects def test_digits_cosine_naive_object(): model = SaturatedCoverageSelection(100, 'cosine', optimizer=NaiveGreedy()) model.fit(X_digits) assert_array_equal(model.ranking, digits_cosine_ranking) assert_array_almost_equal(model.gains, digits_cosine_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_lazy_object(): model = SaturatedCoverageSelection(100, 'cosine', optimizer=LazyGreedy()) model.fit(X_digits) assert_array_equal(model.ranking, digits_cosine_ranking) assert_array_almost_equal(model.gains, digits_cosine_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_two_stage_object(): model = SaturatedCoverageSelection(100, 'cosine', optimizer=TwoStageGreedy()) model.fit(X_digits) assert_array_equal(model.ranking, digits_cosine_ranking) assert_array_almost_equal(model.gains, digits_cosine_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_greedi_nn_object(): model = SaturatedCoverageSelection(100, 'cosine', optimizer=GreeDi( optimizer1='naive', optimizer2='naive', random_state=0)) model.fit(X_digits) assert_array_equal(model.ranking, digits_cosine_greedi_ranking) assert_array_almost_equal(model.gains, digits_cosine_greedi_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_greedi_ll_object(): model = SaturatedCoverageSelection(100, 'cosine', optimizer=GreeDi( optimizer1='lazy', optimizer2='lazy', random_state=0)) model.fit(X_digits) assert_array_equal(model.ranking[:2], digits_cosine_greedi_ranking[:2]) assert_array_almost_equal(model.gains[:2], digits_cosine_greedi_gains[:2], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_greedi_ln_object(): model = SaturatedCoverageSelection(100, 'cosine', optimizer=GreeDi( optimizer1='lazy', optimizer2='naive', random_state=0)) model.fit(X_digits) assert_array_equal(model.ranking[:2], digits_cosine_greedi_ranking[:2]) assert_array_almost_equal(model.gains[:2], digits_cosine_greedi_gains[:2], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_greedi_nl_object(): model = SaturatedCoverageSelection(100, 'cosine', optimizer=GreeDi( optimizer1='naive', optimizer2='lazy', random_state=0)) model.fit(X_digits) assert_array_equal(model.ranking[:2], digits_cosine_greedi_ranking[:2]) assert_array_almost_equal(model.gains[:2], digits_cosine_greedi_gains[:2], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_approximate_object(): model = SaturatedCoverageSelection(100, 'cosine', optimizer=ApproximateLazyGreedy()) model.fit(X_digits) assert_array_equal(model.ranking, digits_cosine_approx_ranking) assert_array_almost_equal(model.gains, digits_cosine_approx_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_stochastic_object(): model = SaturatedCoverageSelection(100, 'cosine', optimizer=StochasticGreedy(random_state=0)) model.fit(X_digits) assert_array_equal(model.ranking, digits_cosine_stochastic_ranking) assert_array_almost_equal(model.gains, digits_cosine_stochastic_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_sample_object(): model = SaturatedCoverageSelection(100, 'cosine', optimizer=SampleGreedy(random_state=0)) model.fit(X_digits) assert_array_equal(model.ranking, digits_cosine_sample_ranking) assert_array_almost_equal(model.gains, digits_cosine_sample_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_sqrt_modular_object(): model = SaturatedCoverageSelection(100, 'cosine', optimizer=ModularGreedy(random_state=0)) model.fit(X_digits) assert_array_equal(model.ranking, digits_cosine_modular_ranking) assert_array_almost_equal(model.gains, digits_cosine_modular_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) # Test all optimizers on sparse data def test_digits_cosine_naive_sparse(): model = SaturatedCoverageSelection(100, 'precomputed', optimizer='naive') model.fit(X_digits_cosine_sparse) assert_array_equal(model.ranking, digits_cosine_ranking) assert_array_almost_equal(model.gains, digits_cosine_gains, 4) def test_digits_cosine_lazy_sparse(): model = SaturatedCoverageSelection(100, 'precomputed', optimizer='lazy') model.fit(X_digits_cosine_sparse) assert_array_equal(model.ranking, digits_cosine_ranking) assert_array_almost_equal(model.gains, digits_cosine_gains, 4) def test_digits_cosine_two_stage_sparse(): model = SaturatedCoverageSelection(100, 'precomputed', optimizer='two-stage') model.fit(X_digits_cosine_sparse) assert_array_equal(model.ranking, digits_cosine_ranking) assert_array_almost_equal(model.gains, digits_cosine_gains, 4) def test_digits_cosine_greedi_nn_sparse(): model = SaturatedCoverageSelection(100, 'precomputed', optimizer='greedi', optimizer_kwds={'optimizer1': 'naive', 'optimizer2': 'naive'}, random_state=0) model.fit(X_digits_cosine_sparse) assert_array_equal(model.ranking, digits_cosine_greedi_ranking) assert_array_almost_equal(model.gains, digits_cosine_greedi_gains, 4) def test_digits_cosine_greedi_ll_sparse(): model = SaturatedCoverageSelection(100, 'precomputed', optimizer='greedi', optimizer_kwds={'optimizer1': 'lazy', 'optimizer2': 'lazy'}, random_state=0) model.fit(X_digits_cosine_sparse) assert_array_equal(model.ranking[:2], digits_cosine_greedi_ranking[:2]) assert_array_almost_equal(model.gains[:2], digits_cosine_greedi_gains[:2], 4) def test_digits_cosine_greedi_ln_sparse(): model = SaturatedCoverageSelection(100, 'precomputed', optimizer='greedi', optimizer_kwds={'optimizer1': 'lazy', 'optimizer2': 'naive'}, random_state=0) model.fit(X_digits_cosine_sparse) assert_array_equal(model.ranking[:2], digits_cosine_greedi_ranking[:2]) assert_array_almost_equal(model.gains[:2], digits_cosine_greedi_gains[:2], 4) def test_digits_cosine_greedi_nl_sparse(): model = SaturatedCoverageSelection(100, 'precomputed', optimizer='greedi', optimizer_kwds={'optimizer1': 'naive', 'optimizer2': 'lazy'}, random_state=0) model.fit(X_digits_cosine_sparse) assert_array_equal(model.ranking[:2], digits_cosine_greedi_ranking[:2]) assert_array_almost_equal(model.gains[:2], digits_cosine_greedi_gains[:2], 4) def test_digits_cosine_approximate_sparse(): model = SaturatedCoverageSelection(100, 'precomputed', optimizer='approximate-lazy') model.fit(X_digits_cosine_sparse) assert_array_equal(model.ranking, digits_cosine_approx_ranking) assert_array_almost_equal(model.gains, digits_cosine_approx_gains, 4) def test_digits_cosine_stochastic_sparse(): model = SaturatedCoverageSelection(100, 'precomputed', optimizer='stochastic', random_state=0) model.fit(X_digits_cosine_sparse) assert_array_equal(model.ranking, digits_cosine_stochastic_ranking) assert_array_almost_equal(model.gains, digits_cosine_stochastic_gains, 4) def test_digits_cosine_sample_sparse(): model = SaturatedCoverageSelection(100, 'precomputed', optimizer='sample', random_state=0) model.fit(X_digits_cosine_sparse) assert_array_equal(model.ranking, digits_cosine_sample_ranking) assert_array_almost_equal(model.gains, digits_cosine_sample_gains, 4) def test_digits_sqrt_modular_sparse(): model = SaturatedCoverageSelection(100, 'precomputed', optimizer='modular', random_state=0) model.fit(X_digits_cosine_sparse) assert_array_equal(model.ranking, digits_cosine_modular_ranking) assert_array_almost_equal(model.gains, digits_cosine_modular_gains, 4) jmschrei-apricot-bf86e69/tests/test_functions/test_sum_redundancy.py000066400000000000000000000757321414554015600262750ustar00rootroot00000000000000import scipy import numpy try: import cupy except: import numpy as cupy from apricot import SumRedundancySelection from apricot.optimizers import * from sklearn.datasets import load_digits from sklearn.metrics import pairwise_distances from numpy.testing import assert_almost_equal from numpy.testing import assert_array_equal from numpy.testing import assert_array_almost_equal digits_data = load_digits() X_digits = digits_data.data X_digits_cosine_sparse = scipy.sparse.csr_matrix((1 - pairwise_distances( X_digits, metric='cosine')) ** 2) X_digits_corr_cupy = cupy.array((1 - pairwise_distances( X_digits, metric='correlation')) ** 2) X_digits_cosine_cupy = cupy.array((1 - pairwise_distances( X_digits, metric='cosine')) ** 2) digits_corr_ranking = [0, 1631, 1308, 1259, 1024, 673, 734, 1595, 75, 1078, 958, 447, 1195, 1221, 576, 1660, 998, 1274, 632, 1671, 1572, 1180, 1742, 1779, 713, 1514, 813, 988, 1576, 757, 1000, 1025, 1419, 1499, 133, 1551, 1580, 1316, 689, 1589, 756, 1462, 889, 413, 599, 1311, 1275, 1163, 54, 1657, 1400, 1001, 1264, 1495, 1302, 1154, 1473, 317, 1488, 194, 527, 1283, 675, 1604, 1077, 215, 766, 946, 1165, 403, 1115, 972, 1079, 1754, 914, 617, 57, 1182, 751, 1717, 876, 31, 103, 941, 1467, 218, 1440, 637, 982, 1708, 1272, 7, 966, 981, 163, 1562, 440, 341, 1301, 1216] digits_corr_gains = [-1.0, -1.0053, -1.2226, -1.2786, -1.5351, -1.5826, -1.7436, -2.2005, -2.2884, -2.5087, -2.7581, -2.8347, -3.0216, -3.3001, -3.3921, -4.1251, -4.2028, -4.4885, -4.8339, -4.8857, -5.1816, -5.3797, -5.7385, -6.03, -6.0674, -6.4577, -6.8554, -6.9494, -7.0362, -7.4869, -7.6198, -8.117, -8.5624, -8.7402, -8.9086, -9.2393, -9.372, -9.7991, -10.003, -10.3158, -10.7446, -10.8657, -11.3165, -11.518, -11.8186, -11.8664, -12.24, -12.5102, -12.865, -13.1717, -13.5104, -13.611, -14.0063, -14.3125, -14.4315, -14.9093, -15.4115, -15.5949, -15.8784, -15.9565, -16.2537, -16.4321, -16.8201, -17.01, -17.5617, -17.6755, -18.0406, -18.2885, -19.0408, -19.1925, -19.3148, -19.7779, -19.8668, -20.3401, -20.4092, -21.0325, -21.2272, -21.472, -21.9653, -22.1756, -22.5028, -22.8417, -23.1781, -23.34, -23.5919, -24.1087, -24.2592, -24.4434, -24.7991, -25.0295, -25.2185, -25.8405, -26.3942, -26.5413, -26.8281, -27.0728, -27.2003, -27.7439, -27.9688, -28.2785] digits_euclidean_ranking = [0, 623, 163, 1572, 215, 241, 988, 1635, 1505, 766, 673, 67, 1296, 283, 947, 1589, 172, 832, 1001, 1259, 1495, 1111, 919, 1576, 141, 1710, 1437, 1106, 1308, 1595, 982, 317, 1274, 131, 1375, 204, 998, 788, 732, 756, 1462, 916, 155, 1086, 77, 851, 1574, 680, 263, 1436, 1205, 609, 1660, 1221, 1275, 1035, 1514, 953, 1754, 1604, 853, 1562, 1094, 1457, 1264, 1685, 218, 447, 1492, 689, 951, 235, 1272, 734, 1657, 494, 517, 1317, 210, 629, 1467, 1587, 1290, 926, 1735, 565, 1419, 1522, 801, 660, 1499, 1220, 757, 1000, 312, 1470, 135, 1070, 889, 1426] digits_euclidean_gains = [-5935.0, -9777.0, -13543.0, -17943.0, -22857.0, -27221.0, -33987.0, -37289.0, -42655.0, -44649.0, -50719.0, -54275.0, -61769.0, -67425.0, -69983.0, -75243.0, -78809.0, -86093.0, -91183.0, -95109.0, -100791.0, -106791.0, -111741.0, -116985.0, -121935.0, -128081.0, -132819.0, -138007.0, -142801.0, -148589.0, -153975.0, -157323.0, -164121.0, -168921.0, -174335.0, -179963.0, -184405.0, -190255.0, -196089.0, -201213.0, -206047.0, -210323.0, -215441.0, -221839.0, -227461.0, -233779.0, -238253.0, -243317.0, -248155.0, -254819.0, -259613.0, -263847.0, -270369.0, -274331.0, -281473.0, -286875.0, -292657.0, -296343.0, -303373.0, -308247.0, -314769.0, -317825.0, -324991.0, -330459.0, -336565.0, -342469.0, -347659.0, -353903.0, -358113.0, -365203.0, -370033.0, -376423.0, -379817.0, -386027.0, -391541.0, -397755.0, -402413.0, -406833.0, -413851.0, -420295.0, -425313.0, -430743.0, -437069.0, -442009.0, -445999.0, -453759.0, -460717.0, -467225.0, -470579.0, -478611.0, -481381.0, -486279.0, -492717.0, -501067.0, -507697.0, -511129.0, -517415.0, -523749.0, -527895.0, -533187.0] digits_cosine_ranking = [0, 1626, 1308, 1259, 1078, 673, 1595, 958, 75, 447, 1660, 1221, 1180, 734, 1589, 1462, 632, 1671, 1779, 1717, 133, 966, 914, 1274, 1514, 1000, 1035, 1580, 1373, 1311, 403, 1272, 946, 766, 215, 1611, 813, 876, 1572, 1316, 1631, 713, 1467, 1499, 1508, 941, 1264, 1275, 194, 1024, 527, 1079, 998, 1473, 1182, 990, 131, 1585, 204, 617, 675, 67, 1001, 1200, 31, 413, 341, 1025, 1213, 1301, 1576, 1400, 218, 317, 442, 1734, 192, 1551, 801, 1495, 1708, 889, 561, 1604, 4, 751, 704, 1314, 994, 155, 151, 981, 1125, 498, 57, 1480, 1742, 1562, 1195, 988] digits_cosine_gains = [-1.0, -1.2608, -1.8589, -2.2945, -2.9785, -3.273, -4.0554, -4.5342, -5.1995, -5.9721, -6.2496, -6.8113, -7.5169, -8.1488, -9.0023, -9.2591, -10.006, -10.618, -11.3895, -11.7181, -12.7751, -13.2362, -14.0317, -14.7067, -15.1397, -15.7079, -16.3536, -17.0946, -17.5568, -18.2507, -19.4527, -20.1545, -20.7871, -21.4178, -21.7413, -22.5283, -23.3034, -23.7622, -24.2979, -25.3123, -25.7659, -26.4916, -27.6042, -28.0639, -28.5733, -29.3231, -30.0786, -30.4752, -31.2483, -31.8044, -32.8744, -33.6345, -34.0621, -34.7931, -35.4228, -36.1701, -36.9265, -37.5654, -38.2502, -38.9728, -39.8254, -40.4355, -41.1174, -41.7559, -42.4764, -43.3304, -43.9796, -44.5423, -45.3739, -46.0711, -46.7337, -47.2139, -47.7222, -48.8554, -49.4269, -50.3968, -51.0522, -51.5147, -52.5101, -52.9929, -53.7409, -54.115, -55.3053, -55.9741, -56.6847, -57.6243, -58.176, -58.5817, -59.7514, -60.3535, -60.7568, -61.6063, -62.5969, -63.1069, -64.0203, -64.638, -65.5255, -66.1212, -66.8677, -67.4475] digits_cosine_greedi_ranking = [16, 617, 1660, 673, 1000, 1589, 1308, 1221, 1595, 1078, 447, 1626, 1514, 1259, 632, 133, 1671, 1717, 914, 75, 946, 734, 1779, 766, 1462, 1580, 1272, 1473, 1311, 1611, 1180, 1572, 876, 1024, 1631, 1274, 215, 1035, 403, 958, 1316, 966, 1182, 1373, 1508, 1025, 1467, 1499, 194, 1275, 1264, 813, 998, 67, 527, 1079, 131, 204, 990, 1585, 675, 713, 1200, 1301, 413, 192, 1001, 1400, 1576, 218, 1213, 981, 1734, 31, 341, 317, 1495, 889, 1708, 801, 1125, 442, 751, 1059, 1314, 4, 12, 1604, 1562, 704, 107, 561, 163, 988, 498, 1551, 1195, 1480, 994, 151] digits_cosine_greedi_gains = [-1.0, -1.3478, -1.9394, -2.3069, -3.1291, -3.4523, -3.811, -4.7084, -5.3596, -5.7415, -6.1306, -6.9337, -7.5382, -7.9192, -8.7388, -9.5881, -10.0552, -10.5168, -11.4115, -12.0015, -12.4559, -13.359, -13.957, -14.6866, -14.849, -15.9155, -16.5696, -17.298, -18.0227, -18.5558, -19.1504, -19.9612, -20.7278, -21.2489, -22.0421, -22.5731, -23.1782, -23.8589, -24.283, -25.1361, -25.8376, -26.5521, -27.0485, -28.0133, -28.5404, -29.4877, -30.0386, -30.6349, -31.0334, -32.2181, -32.7685, -33.3918, -34.193, -34.753, -35.6558, -36.0367, -36.7902, -37.8717, -38.4027, -38.9991, -39.478, -40.4198, -41.1552, -41.7612, -42.363, -43.2004, -44.1362, -44.6401, -45.3337, -45.9022, -46.5817, -47.0738, -48.3477, -48.9314, -49.5341, -50.1541, -51.1846, -51.5936, -52.3633, -52.9651, -53.8957, -54.671, -55.369, -55.8204, -56.6435, -57.4165, -58.2005, -59.0945, -59.66, -60.1562, -61.0494, -62.0454, -62.5839, -63.0563, -64.1159, -64.557, -65.2267, -66.0529, -66.849, -67.6248] digits_cosine_stochastic_ranking = [1081, 1014, 1386, 770, 567, 137, 723, 1491, 1274, 1492, 1728, 1456, 186, 1448, 386, 148, 891, 1759, 1424, 587, 191, 629, 1507, 1084, 1473, 946, 518, 638, 1739, 502, 1537, 1227, 689, 88, 238, 1667, 1785, 1067, 1461, 1222, 1099, 607, 364, 1572, 1195, 217, 1034, 208, 84, 1128, 425, 345, 626, 843, 1070, 83, 1449, 1071, 1644, 1392, 1415, 449, 802, 1348, 1553, 175, 1455, 1770, 1395, 1032, 879, 1220, 1137, 129, 754, 1695, 1459, 782, 549, 1069, 260, 834, 517, 919, 1622, 700, 424, 1685, 245, 1339, 1152, 1212, 1425, 937, 1665, 291, 1535, 701, 1508, 1219] digits_cosine_stochastic_gains = [-1.0, -2.5269, -2.7995, -3.2931, -5.5216, -6.0637, -7.7541, -8.1408, -7.2975, -10.4072, -11.2111, -10.3373, -10.6228, -12.2424, -13.1709, -18.8132, -14.5518, -19.0894, -18.2777, -18.8472, -17.3115, -23.1732, -23.7351, -26.0553, -18.8892, -17.7293, -29.2051, -23.7703, -27.484, -27.9689, -34.4357, -33.4325, -23.4861, -31.3646, -30.627, -35.9673, -36.9382, -38.8354, -37.5974, -33.8208, -38.1725, -43.8267, -39.2434, -31.1408, -34.4416, -44.662, -43.0794, -51.7522, -45.9076, -45.5261, -53.8562, -54.4264, -51.2669, -53.0412, -44.3672, -52.5772, -53.4106, -66.2475, -61.2402, -58.9847, -59.9399, -65.6418, -67.2847, -61.22, -63.0781, -66.7774, -76.5662, -67.3135, -69.2438, -66.9263, -77.0899, -69.448, -57.6908, -71.3056, -69.0238, -82.4863, -82.4559, -78.3968, -79.779, -96.6816, -69.961, -84.4731, -70.0465, -69.5608, -81.6036, -94.3322, -109.4369, -80.056, -72.2626, -79.6127, -80.3194, -86.0693, -95.2923, -89.2698, -82.4462, -84.8242, -99.9732, -102.3375, -72.4036, -91.7773] digits_cosine_sample_ranking = [0, 1626, 1308, 1589, 673, 734, 914, 75, 1660, 447, 1717, 1671, 1078, 133, 1221, 958, 1514, 1373, 1580, 766, 966, 1272, 1462, 1035, 1275, 1311, 632, 1180, 1631, 1576, 946, 1024, 215, 1274, 403, 527, 876, 1611, 617, 813, 998, 1499, 1508, 1079, 1473, 194, 317, 1264, 1316, 67, 1562, 1585, 204, 990, 675, 1314, 1301, 889, 218, 941, 413, 994, 1604, 4, 1025, 801, 341, 31, 131, 704, 442, 689, 155, 192, 751, 1163, 1400, 1552, 57, 1731, 561, 151, 163, 1734, 1648, 1495, 1587, 498, 972, 728, 1195, 988, 1125, 1304, 800, 1721, 7, 19, 1754, 981] digits_cosine_sample_gains = [-1.0, -1.2608, -1.8589, -2.3718, -2.9235, -3.3502, -4.1682, -4.7961, -5.3775, -5.8901, -6.4477, -6.8991, -7.7067, -8.1207, -8.9752, -9.6247, -10.2187, -10.4458, -11.617, -12.2125, -12.9059, -13.5264, -14.323, -14.9052, -15.3206, -16.1262, -16.5538, -17.6517, -18.1862, -18.9705, -19.4022, -20.3438, -20.9218, -21.26, -22.1514, -22.8178, -23.5192, -24.0593, -24.7916, -25.6778, -26.448, -27.0072, -27.5813, -28.1622, -28.9791, -29.6623, -30.212, -30.8247, -31.4657, -32.7805, -33.1168, -33.913, -34.5045, -35.0171, -35.7662, -36.9909, -37.4624, -38.2663, -38.7272, -39.5656, -40.1986, -40.7718, -41.6487, -42.6081, -43.0435, -43.8426, -44.2991, -45.0666, -45.9207, -46.4336, -47.4731, -47.8693, -48.9462, -49.5734, -50.278, -51.0253, -51.7427, -52.3166, -53.3424, -54.1884, -54.6391, -55.5147, -55.9356, -56.7033, -57.3959, -58.1553, -58.8327, -59.6321, -60.1963, -60.9938, -61.5477, -62.3124, -62.7948, -63.7351, -64.9801, -65.5436, -66.2565, -66.9823, -67.8899, -68.5351] digits_cosine_modular_ranking = [1796, 672, 590, 591, 592, 593, 594, 595, 596, 597, 598, 599, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 614, 589, 588, 587, 573, 562, 563, 564, 565, 566, 567, 568, 569, 570, 571, 572, 574, 586, 575, 576, 577, 578, 579, 580, 581, 582, 583, 584, 585, 615, 616, 617, 658, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 659, 645, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 646, 644, 618, 630, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 631, 643] digits_cosine_modular_gains = [-1.0, -2.3079, -2.789, -3.6932, -4.9088, -5.7819, -6.3563, -8.4147, -8.0702, -8.105, -10.8682, -11.1989, -12.8727, -14.6083, -12.2928, -15.4387, -18.6001, -18.2984, -19.3362, -22.3696, -22.8144, -21.7067, -20.4596, -27.9798, -28.2063, -24.4073, -28.4632, -27.6832, -28.5308, -27.8148, -31.0751, -30.0901, -36.1829, -34.3228, -35.1394, -35.3716, -37.906, -31.2499, -40.2782, -41.9238, -38.3051, -39.5617, -48.0495, -46.3859, -46.4503, -42.0932, -37.1236, -54.9001, -52.8341, -44.635, -51.3953, -59.3985, -53.5856, -52.8414, -52.4711, -68.5418, -52.824, -50.2893, -62.4484, -56.4849, -61.7257, -70.4068, -50.5291, -64.1149, -61.7033, -60.5719, -78.3484, -55.4513, -64.7636, -79.5183, -75.3014, -71.657, -61.1447, -70.4666, -67.1287, -59.2271, -81.2681, -58.394, -83.9439, -86.8982, -80.2988, -90.9462, -68.0999, -86.0352, -95.3056, -76.3657, -92.3353, -95.5004, -101.6048, -100.966, -106.9129, -85.5593, -87.2622, -86.1141, -91.5066, -88.5264, -78.4808, -99.1651, -102.2596, -101.259] # Test some similarity functions def test_digits_euclidean_naive(): model = SumRedundancySelection(100, 'euclidean', optimizer='naive') model.fit(X_digits) assert_array_equal(model.ranking, digits_euclidean_ranking) assert_array_almost_equal(model.gains, digits_euclidean_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_euclidean_lazy(): model = SumRedundancySelection(100, 'euclidean', optimizer='lazy') model.fit(X_digits) assert_array_equal(model.ranking, digits_euclidean_ranking) assert_array_almost_equal(model.gains, digits_euclidean_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_euclidean_two_stage(): model = SumRedundancySelection(100, 'euclidean', optimizer='two-stage') model.fit(X_digits) assert_array_equal(model.ranking, digits_euclidean_ranking) assert_array_almost_equal(model.gains, digits_euclidean_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_corr_naive(): model = SumRedundancySelection(100, 'corr', optimizer='naive') model.fit(X_digits) assert_array_equal(model.ranking, digits_corr_ranking) assert_array_almost_equal(model.gains, digits_corr_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_corr_lazy(): model = SumRedundancySelection(100, 'corr', optimizer='lazy') model.fit(X_digits) assert_array_equal(model.ranking, digits_corr_ranking) assert_array_almost_equal(model.gains, digits_corr_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_corr_two_stage(): model = SumRedundancySelection(100, 'corr', optimizer='two-stage') model.fit(X_digits) assert_array_equal(model.ranking, digits_corr_ranking) assert_array_almost_equal(model.gains, digits_corr_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_naive(): model = SumRedundancySelection(100, 'cosine', optimizer='naive') model.fit(X_digits) assert_array_equal(model.ranking, digits_cosine_ranking) assert_array_almost_equal(model.gains, digits_cosine_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_lazy(): model = SumRedundancySelection(100, 'cosine', optimizer='lazy') model.fit(X_digits) assert_array_equal(model.ranking, digits_cosine_ranking) assert_array_almost_equal(model.gains, digits_cosine_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_two_stage(): model = SumRedundancySelection(100, 'cosine', optimizer='two-stage') model.fit(X_digits) assert_array_equal(model.ranking, digits_cosine_ranking) assert_array_almost_equal(model.gains, digits_cosine_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_precomputed_naive(): model = SumRedundancySelection(100, 'precomputed', optimizer='naive') model.fit(X_digits_corr_cupy) assert_array_equal(model.ranking, digits_corr_ranking) assert_array_almost_equal(model.gains, digits_corr_gains, 4) def test_digits_precomputed_lazy(): model = SumRedundancySelection(100, 'precomputed', optimizer='lazy') model.fit(X_digits_corr_cupy) assert_array_equal(model.ranking, digits_corr_ranking) assert_array_almost_equal(model.gains, digits_corr_gains, 4) def test_digits_precomputed_two_stage(): model = SumRedundancySelection(100, 'precomputed', optimizer='two-stage') model.fit(X_digits_corr_cupy) assert_array_equal(model.ranking, digits_corr_ranking) assert_array_almost_equal(model.gains, digits_corr_gains, 4) # Test with initialization def test_digits_euclidean_naive_init(): model = SumRedundancySelection(100, 'euclidean', optimizer='naive', initial_subset=digits_euclidean_ranking[:5]) model.fit(X_digits) assert_array_equal(model.ranking[:20], digits_euclidean_ranking[5:25]) assert_array_almost_equal(model.gains[:20], digits_euclidean_gains[5:25], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_euclidean_lazy_init(): model = SumRedundancySelection(100, 'euclidean', optimizer='lazy', initial_subset=digits_euclidean_ranking[:5]) model.fit(X_digits) assert_array_equal(model.ranking[:-5], digits_euclidean_ranking[5:]) assert_array_almost_equal(model.gains[:-5], digits_euclidean_gains[5:], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_euclidean_two_stage_init(): model = SumRedundancySelection(100, 'euclidean', optimizer='two-stage', initial_subset=digits_euclidean_ranking[:5]) model.fit(X_digits) assert_array_equal(model.ranking[:-5], digits_euclidean_ranking[5:]) assert_array_almost_equal(model.gains[:-5], digits_euclidean_gains[5:], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_corr_naive_init(): model = SumRedundancySelection(100, 'corr', optimizer='naive', initial_subset=digits_corr_ranking[:5]) model.fit(X_digits) assert_array_equal(model.ranking[:-5], digits_corr_ranking[5:]) assert_array_almost_equal(model.gains[:-5], digits_corr_gains[5:], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_corr_lazy_init(): model = SumRedundancySelection(100, 'corr', optimizer='lazy', initial_subset=digits_corr_ranking[:5]) model.fit(X_digits) assert_array_equal(model.ranking[:-5], digits_corr_ranking[5:]) assert_array_almost_equal(model.gains[:-5], digits_corr_gains[5:], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_corr_two_stage_init(): model = SumRedundancySelection(100, 'corr', optimizer='two-stage', initial_subset=digits_corr_ranking[:5]) model.fit(X_digits) assert_array_equal(model.ranking[:-5], digits_corr_ranking[5:]) assert_array_almost_equal(model.gains[:-5], digits_corr_gains[5:], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_naive_init(): model = SumRedundancySelection(100, 'cosine', optimizer='naive', initial_subset=digits_cosine_ranking[:5]) model.fit(X_digits) assert_array_equal(model.ranking[:-5], digits_cosine_ranking[5:]) assert_array_almost_equal(model.gains[:-5], digits_cosine_gains[5:], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_lazy_init(): model = SumRedundancySelection(100, 'cosine', optimizer='lazy', initial_subset=digits_cosine_ranking[:5]) model.fit(X_digits) assert_array_equal(model.ranking[:-5], digits_cosine_ranking[5:]) assert_array_almost_equal(model.gains[:-5], digits_cosine_gains[5:], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_two_stage_init(): model = SumRedundancySelection(100, 'cosine', optimizer='two-stage', initial_subset=digits_cosine_ranking[:5]) model.fit(X_digits) assert_array_equal(model.ranking[:-5], digits_cosine_ranking[5:]) assert_array_almost_equal(model.gains[:-5], digits_cosine_gains[5:], 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_precomputed_naive_init(): model = SumRedundancySelection(100, 'precomputed', optimizer='naive', initial_subset=digits_cosine_ranking[:5]) model.fit(X_digits_cosine_cupy) assert_array_equal(model.ranking[:-5], digits_cosine_ranking[5:]) assert_array_almost_equal(model.gains[:-5], digits_cosine_gains[5:], 4) def test_digits_precomputed_lazy_init(): model = SumRedundancySelection(100, 'precomputed', optimizer='lazy', initial_subset=digits_cosine_ranking[:5]) model.fit(X_digits_cosine_cupy) assert_array_equal(model.ranking[:-5], digits_cosine_ranking[5:]) assert_array_almost_equal(model.gains[:-5], digits_cosine_gains[5:], 4) def test_digits_precomputed_two_stage_init(): model = SumRedundancySelection(100, 'precomputed', optimizer='two-stage', initial_subset=digits_cosine_ranking[:5]) model.fit(X_digits_cosine_cupy) assert_array_equal(model.ranking[:-5], digits_cosine_ranking[5:]) assert_array_almost_equal(model.gains[:-5], digits_cosine_gains[5:], 4) # Test all optimizers def test_digits_cosine_greedi_nn(): model = SumRedundancySelection(100, 'cosine', optimizer='greedi', optimizer_kwds={'optimizer1': 'naive', 'optimizer2': 'naive'}, random_state=0) model.fit(X_digits) assert_array_equal(model.ranking, digits_cosine_greedi_ranking) assert_array_almost_equal(model.gains, digits_cosine_greedi_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_greedi_ll(): model = SumRedundancySelection(100, 'cosine', optimizer='greedi', optimizer_kwds={'optimizer1': 'lazy', 'optimizer2': 'lazy'}, random_state=0) model.fit(X_digits) assert_array_equal(model.ranking, digits_cosine_greedi_ranking) assert_array_almost_equal(model.gains, digits_cosine_greedi_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_greedi_ln(): model = SumRedundancySelection(100, 'cosine', optimizer='greedi', optimizer_kwds={'optimizer1': 'lazy', 'optimizer2': 'naive'}, random_state=0) model.fit(X_digits) assert_array_equal(model.ranking, digits_cosine_greedi_ranking) assert_array_almost_equal(model.gains, digits_cosine_greedi_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_greedi_nl(): model = SumRedundancySelection(100, 'cosine', optimizer='greedi', optimizer_kwds={'optimizer1': 'naive', 'optimizer2': 'lazy'}, random_state=0) model.fit(X_digits) assert_array_equal(model.ranking, digits_cosine_greedi_ranking) assert_array_almost_equal(model.gains, digits_cosine_greedi_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_approximate(): pass #model = SumRedundancySelection(100, 'cosine', optimizer='approximate-lazy') #model.fit(X_digits) #assert_array_equal(model.ranking, digits_cosine_approx_ranking) #assert_array_almost_equal(model.gains, digits_cosine_approx_gains, 4) def test_digits_cosine_stochastic(): model = SumRedundancySelection(100, 'cosine', optimizer='stochastic', random_state=0) model.fit(X_digits) assert_array_equal(model.ranking, digits_cosine_stochastic_ranking) assert_array_almost_equal(model.gains, digits_cosine_stochastic_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_sample(): model = SumRedundancySelection(100, 'cosine', optimizer='sample', random_state=0) model.fit(X_digits) assert_array_equal(model.ranking, digits_cosine_sample_ranking) assert_array_almost_equal(model.gains, digits_cosine_sample_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_sqrt_modular(): model = SumRedundancySelection(100, 'cosine', optimizer='modular', random_state=0) model.fit(X_digits) assert_array_equal(model.ranking, digits_cosine_modular_ranking) assert_array_almost_equal(model.gains, digits_cosine_modular_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) # Using the partial_fit method def test_digits_cosine_sieve_batch(): return model = SumRedundancySelection(100, 'cosine', random_state=0, reservoir=X_digits) model.partial_fit(X_digits) print("[" + ", ".join(map(str, model.ranking)) + "]") print("[" + ", ".join([str(round(gain, 4)) for gain in model.gains]) + "]") assert_array_equal(model.ranking, digits_cosine_sieve_ranking) assert_array_almost_equal(model.gains, digits_cosine_sieve_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_sieve_minibatch(): return model = SumRedundancySelection(100, 'cosine', random_state=0, reservoir=X_digits) model.partial_fit(X_digits[:300]) model.partial_fit(X_digits[300:500]) model.partial_fit(X_digits[500:]) assert_array_equal(model.ranking, digits_cosine_sieve_ranking) assert_array_almost_equal(model.gains, digits_cosine_sieve_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) # Using Optimizer Objects def test_digits_cosine_naive_object(): model = SumRedundancySelection(100, 'cosine', optimizer=NaiveGreedy()) model.fit(X_digits) assert_array_equal(model.ranking, digits_cosine_ranking) assert_array_almost_equal(model.gains, digits_cosine_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_lazy_object(): model = SumRedundancySelection(100, 'cosine', optimizer=LazyGreedy()) model.fit(X_digits) assert_array_equal(model.ranking, digits_cosine_ranking) assert_array_almost_equal(model.gains, digits_cosine_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_two_stage_object(): model = SumRedundancySelection(100, 'cosine', optimizer=TwoStageGreedy()) model.fit(X_digits) assert_array_equal(model.ranking, digits_cosine_ranking) assert_array_almost_equal(model.gains, digits_cosine_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_greedi_nn_object(): model = SumRedundancySelection(100, 'cosine', optimizer=GreeDi( optimizer1='naive', optimizer2='naive', random_state=0)) model.fit(X_digits) assert_array_equal(model.ranking, digits_cosine_greedi_ranking) assert_array_almost_equal(model.gains, digits_cosine_greedi_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_greedi_ll_object(): model = SumRedundancySelection(100, 'cosine', optimizer=GreeDi( optimizer1='lazy', optimizer2='lazy', random_state=0)) model.fit(X_digits) assert_array_equal(model.ranking, digits_cosine_greedi_ranking) assert_array_almost_equal(model.gains, digits_cosine_greedi_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_greedi_ln_object(): model = SumRedundancySelection(100, 'cosine', optimizer=GreeDi( optimizer1='lazy', optimizer2='naive', random_state=0)) model.fit(X_digits) assert_array_equal(model.ranking, digits_cosine_greedi_ranking) assert_array_almost_equal(model.gains, digits_cosine_greedi_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_greedi_nl_object(): model = SumRedundancySelection(100, 'cosine', optimizer=GreeDi( optimizer1='naive', optimizer2='lazy', random_state=0)) model.fit(X_digits) assert_array_equal(model.ranking, digits_cosine_greedi_ranking) assert_array_almost_equal(model.gains, digits_cosine_greedi_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_approximate_object(): #model = SumRedundancySelection(100, 'cosine', # optimizer=ApproximateLazyGreedy()) #model.fit(X_digits) #assert_array_equal(model.ranking, digits_cosine_approx_ranking) #assert_array_almost_equal(model.gains, digits_cosine_approx_gains, 4) pass def test_digits_cosine_stochastic_object(): model = SumRedundancySelection(100, 'cosine', optimizer=StochasticGreedy(random_state=0)) model.fit(X_digits) assert_array_equal(model.ranking, digits_cosine_stochastic_ranking) assert_array_almost_equal(model.gains, digits_cosine_stochastic_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_cosine_sample_object(): model = SumRedundancySelection(100, 'cosine', optimizer=SampleGreedy(random_state=0)) model.fit(X_digits) assert_array_equal(model.ranking, digits_cosine_sample_ranking) assert_array_almost_equal(model.gains, digits_cosine_sample_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) def test_digits_sqrt_modular_object(): model = SumRedundancySelection(100, 'cosine', optimizer=ModularGreedy(random_state=0)) model.fit(X_digits) assert_array_equal(model.ranking, digits_cosine_modular_ranking) assert_array_almost_equal(model.gains, digits_cosine_modular_gains, 4) assert_array_almost_equal(model.subset, X_digits[model.ranking]) # Test all optimizers on sparse data def test_digits_cosine_naive_sparse(): model = SumRedundancySelection(100, 'precomputed', optimizer='naive') model.fit(X_digits_cosine_sparse) assert_array_equal(model.ranking, digits_cosine_ranking) assert_array_almost_equal(model.gains, digits_cosine_gains, 4) def test_digits_cosine_lazy_sparse(): model = SumRedundancySelection(100, 'precomputed', optimizer='lazy') model.fit(X_digits_cosine_sparse) assert_array_equal(model.ranking, digits_cosine_ranking) assert_array_almost_equal(model.gains, digits_cosine_gains, 4) def test_digits_cosine_two_stage_sparse(): model = SumRedundancySelection(100, 'precomputed', optimizer='two-stage') model.fit(X_digits_cosine_sparse) assert_array_equal(model.ranking, digits_cosine_ranking) assert_array_almost_equal(model.gains, digits_cosine_gains, 4) def test_digits_cosine_greedi_nn_sparse(): model = SumRedundancySelection(100, 'precomputed', optimizer='greedi', optimizer_kwds={'optimizer1': 'naive', 'optimizer2': 'naive'}, random_state=0) model.fit(X_digits_cosine_sparse) assert_array_equal(model.ranking, digits_cosine_greedi_ranking) assert_array_almost_equal(model.gains, digits_cosine_greedi_gains, 4) def test_digits_cosine_greedi_ll_sparse(): model = SumRedundancySelection(100, 'precomputed', optimizer='greedi', optimizer_kwds={'optimizer1': 'lazy', 'optimizer2': 'lazy'}, random_state=0) model.fit(X_digits_cosine_sparse) assert_array_equal(model.ranking, digits_cosine_greedi_ranking) assert_array_almost_equal(model.gains, digits_cosine_greedi_gains, 4) def test_digits_cosine_greedi_ln_sparse(): model = SumRedundancySelection(100, 'precomputed', optimizer='greedi', optimizer_kwds={'optimizer1': 'lazy', 'optimizer2': 'naive'}, random_state=0) model.fit(X_digits_cosine_sparse) assert_array_equal(model.ranking, digits_cosine_greedi_ranking) assert_array_almost_equal(model.gains, digits_cosine_greedi_gains, 4) def test_digits_cosine_greedi_nl_sparse(): model = SumRedundancySelection(100, 'precomputed', optimizer='greedi', optimizer_kwds={'optimizer1': 'naive', 'optimizer2': 'lazy'}, random_state=0) model.fit(X_digits_cosine_sparse) assert_array_equal(model.ranking, digits_cosine_greedi_ranking) assert_array_almost_equal(model.gains, digits_cosine_greedi_gains, 4) def test_digits_cosine_approximate_sparse(): pass # Approximate doesn't work with supermodular functions. #model = SumRedundancySelection(100, 'precomputed', optimizer='approximate-lazy') #model.fit(X_digits_cosine_sparse) #assert_array_equal(model.ranking, digits_cosine_approx_ranking) #assert_array_almost_equal(model.gains, digits_cosine_approx_gains, 4) def test_digits_cosine_stochastic_sparse(): model = SumRedundancySelection(100, 'precomputed', optimizer='stochastic', random_state=0) model.fit(X_digits_cosine_sparse) assert_array_equal(model.ranking, digits_cosine_stochastic_ranking) assert_array_almost_equal(model.gains, digits_cosine_stochastic_gains, 4) def test_digits_cosine_sample_sparse(): model = SumRedundancySelection(100, 'precomputed', optimizer='sample', random_state=0) model.fit(X_digits_cosine_sparse) assert_array_equal(model.ranking, digits_cosine_sample_ranking) assert_array_almost_equal(model.gains, digits_cosine_sample_gains, 4) def test_digits_sqrt_modular_sparse(): model = SumRedundancySelection(100, 'precomputed', optimizer='modular', random_state=0) model.fit(X_digits_cosine_sparse) assert_array_equal(model.ranking, digits_cosine_modular_ranking) assert_array_almost_equal(model.gains, digits_cosine_modular_gains, 4) jmschrei-apricot-bf86e69/tests/test_optimizers/000077500000000000000000000000001414554015600220235ustar00rootroot00000000000000jmschrei-apricot-bf86e69/tests/test_optimizers/__init__.py000066400000000000000000000000001414554015600241220ustar00rootroot00000000000000jmschrei-apricot-bf86e69/tests/test_optimizers/test_knapsack_facility_location.py000066400000000000000000000257371414554015600310210ustar00rootroot00000000000000import scipy import numpy try: import cupy except: import numpy as cupy from apricot import FacilityLocationSelection from apricot.optimizers import * from sklearn.datasets import load_digits from sklearn.metrics import pairwise_distances from nose.tools import assert_less_equal from numpy.testing import assert_almost_equal from numpy.testing import assert_array_equal from numpy.testing import assert_array_almost_equal # print("[" + ", ".join(map(str, model.ranking)) + "]") # print("[" + ", ".join([str(round(gain, 4)) for gain in model.gains]) + "]") numpy.random.seed(0) digits_data = load_digits() X_digits = digits_data.data[:250] X_digits_costs = numpy.abs(numpy.random.randn(250)) X_digits_sparse = scipy.sparse.csr_matrix(X_digits) X_digits_cupy = cupy.array(X_digits) digits_ranking = [96, 179, 219, 216, 26, 56, 206, 54, 225, 187, 163, 79, 192, 17, 35, 8, 169, 64, 242, 69, 133, 195, 117, 7, 227, 87, 125, 142, 150, 92, 154, 137, 27, 71, 10, 233, 114, 98, 201, 209, 30, 13, 226, 243, 57, 67, 1, 141, 211, 222, 14, 208, 31, 238, 138, 51, 136, 9, 74, 122, 45, 152, 61, 18, 34, 191, 215, 49, 39, 160, 38, 221, 143, 180, 12, 131, 124, 52, 99, 78, 129, 59, 106, 231, 94, 203, 90, 120, 126] digits_gains = [132.3769, 19.3468, 14.247, 4.3593, 7.0206, 8.4383, 2.6395, 2.6087, 3.4037, 2.2681, 2.8624, 1.3601, 0.5692, 2.7581, 2.0511, 1.3346, 3.6155, 1.3742, 1.0221, 0.3618, 0.1726, 0.8898, 0.7893, 0.7392, 0.9948, 0.6893, 0.51, 0.5096, 0.1732, 0.506, 0.2326, 0.4857, 0.4344, 0.2623, 0.2858, 0.7386, 0.4207, 0.1898, 0.3478, 0.1395, 0.2196, 0.168, 0.2155, 0.3933, 0.3766, 0.5458, 0.4164, 0.4137, 0.266, 0.37, 0.3328, 0.1958, 0.2645, 0.2956, 0.2661, 0.2467, 0.3663, 0.252, 0.2453, 0.1533, 0.2195, 0.371, 0.1653, 0.1424, 0.1558, 0.1183, 0.1771, 0.0917, 0.13, 0.2125, 0.1625, 0.1436, 0.263, 0.1454, 0.3037, 0.2128, 0.2727, 0.2004, 0.1544, 0.1161, 0.1492, 0.1326, 0.1472, 0.1741, 0.1245, 0.2288, 0.1378, 0.1216, 0.1267] digits_greedi_ranking = [96, 179, 216, 219, 54, 26, 56, 206, 225, 187, 163, 79, 192, 69, 92, 35, 7, 133, 17, 242, 195, 227, 64, 125, 117, 8, 169, 142, 150, 27, 87, 10, 137, 243, 30, 71, 154, 226, 13, 209, 233, 211, 98, 114, 57, 9, 1, 74, 131, 67, 51, 122, 31, 222, 18, 191, 215, 49, 39, 208, 201, 14, 244, 12, 65, 99, 78, 38, 129, 59, 231, 203, 238, 138, 106, 45, 120, 34, 152, 15, 52, 94, 134, 221, 77, 61, 217, 232, 241, 141] digits_greedi_gains = [132.3769, 19.3468, 5.5078, 13.0984, 3.052, 7.0012, 8.0181, 2.6359, 3.4037, 2.2681, 2.8624, 1.3601, 0.5692, 0.4066, 2.6452, 2.0193, 1.2513, 0.1726, 2.233, 1.6882, 0.8898, 1.0965, 1.2725, 0.4306, 0.7893, 0.363, 1.8682, 0.5096, 0.1663, 0.4344, 0.6893, 0.2858, 0.4857, 0.3933, 0.2196, 0.2623, 0.2326, 0.2215, 0.2098, 0.1395, 0.709, 0.266, 0.1715, 0.4207, 0.3766, 0.252, 0.4164, 0.2799, 0.3581, 0.5458, 0.2467, 0.1533, 0.2645, 0.37, 0.1424, 0.1183, 0.1771, 0.0917, 0.13, 0.1958, 0.3132, 0.3328, 0.13, 0.3037, 0.2199, 0.1544, 0.1161, 0.1625, 0.1492, 0.1326, 0.1741, 0.2288, 0.2956, 0.2661, 0.1472, 0.2195, 0.1216, 0.1558, 0.367, 0.0949, 0.231, 0.1245, 0.162, 0.1436, 0.1452, 0.1347, 0.0929, 0.1611, 0.0928, 0.2684] digits_approx_ranking = [96, 179, 219, 216, 26, 56, 206, 54, 225, 187, 163, 79, 192, 17, 92, 35, 242, 64, 69, 169, 195, 133, 117, 7, 227, 87, 8, 142, 125, 154, 150, 137, 27, 71, 10, 233, 114, 98, 13, 201, 209, 30, 226, 243, 57, 67, 1, 141, 211, 222, 14, 31, 208, 238, 138, 51, 136, 9, 74, 122, 45, 152, 61, 18, 180, 34, 191, 215, 49, 39, 160, 38, 221, 143, 12, 131, 124, 52, 99, 203, 78, 129, 59, 106, 231, 94, 90, 120, 126] digits_approx_gains = [132.3769, 19.3468, 14.247, 4.3593, 7.0206, 8.4383, 2.6395, 2.6087, 3.4037, 2.2681, 2.8624, 1.3601, 0.5692, 2.7581, 2.6452, 2.0511, 1.6882, 1.3742, 0.3618, 1.9058, 0.8898, 0.1726, 0.7893, 0.7392, 0.9948, 0.6893, 0.363, 0.5096, 0.393, 0.2326, 0.1663, 0.4857, 0.4344, 0.2623, 0.2858, 0.7386, 0.4207, 0.1898, 0.168, 0.3478, 0.1395, 0.2196, 0.2155, 0.3933, 0.3766, 0.5458, 0.4164, 0.4137, 0.266, 0.37, 0.3328, 0.2645, 0.1958, 0.2956, 0.2661, 0.2467, 0.3663, 0.252, 0.2453, 0.1533, 0.2195, 0.371, 0.1653, 0.1424, 0.1454, 0.1558, 0.1183, 0.1771, 0.0917, 0.13, 0.2125, 0.1625, 0.1436, 0.263, 0.3037, 0.2128, 0.2727, 0.2004, 0.1544, 0.2288, 0.1161, 0.1492, 0.1326, 0.1472, 0.1741, 0.1245, 0.1378, 0.1216, 0.1267] digits_stochastic_ranking = [225, 104, 60, 12, 213, 142, 45, 236, 53, 144, 30, 226, 202, 232, 140, 95, 2, 150, 240, 75, 62, 185, 135, 37, 168, 61, 241, 212, 121, 124] digits_stochastic_gains = [2023.6035, 12.477, 28.4395, 2.1767, 10.596, 31.2631, 1.8466, 3.2723, 1.4403, 0.266, 33.6989, 3.1455, 2.548, 2.5224, 0.1445, 0.5862, 2.4432, 2.1424, 0.4515, 0.4854, 0.8598, 0.1719, 8.4095, 0.8081, 1.938, 3.427, 2.0227, 1.1632, 0.7072, 1.5839] digits_sample_ranking = [179, 216, 206, 219, 26, 56, 54, 163, 187, 79, 242, 17, 35, 64, 192, 169, 69, 133, 195, 117, 7, 87, 227, 171, 8, 125, 142, 209, 137, 27, 149, 71, 10, 18, 114, 13, 201, 30, 226, 98, 243, 57, 67, 1, 141, 211, 222, 39, 14, 208, 31, 138, 38, 228, 51, 136, 74, 9, 129, 143, 61, 180, 34, 191, 215, 49, 160, 221, 233, 238, 12, 131, 124, 52, 78, 59, 106, 99, 94, 90, 120, 196, 50, 126] digits_sample_gains = [135.1415, 12.9734, 9.23, 12.6779, 6.9931, 8.4351, 2.624, 4.6758, 2.4125, 1.3601, 2.2744, 3.2146, 2.0511, 2.3048, 0.4903, 3.921, 0.4243, 0.1726, 0.8898, 0.7893, 0.7392, 0.8592, 1.0594, 1.368, 0.363, 0.51, 0.5096, 0.2371, 0.4857, 0.4344, 0.9881, 0.2623, 0.2858, 0.5983, 0.4506, 0.1896, 0.3478, 0.2196, 0.2215, 0.1715, 0.3933, 0.3766, 0.5458, 0.4227, 0.4137, 0.266, 0.37, 0.2294, 0.3328, 0.1958, 0.2645, 0.2661, 0.259, 0.3979, 0.2467, 0.3663, 0.2453, 0.2369, 0.2239, 0.3055, 0.1653, 0.1608, 0.1558, 0.1183, 0.1771, 0.0917, 0.2125, 0.1436, 0.1724, 0.1718, 0.3037, 0.2128, 0.2727, 0.2004, 0.1161, 0.1326, 0.1472, 0.141, 0.1245, 0.1378, 0.1216, 0.2449, 0.2774, 0.1281] digits_modular_ranking = [96, 179, 216, 206, 54, 133, 219, 26, 192, 187, 69, 79, 225, 150, 56, 209, 8, 154, 242, 163, 13, 98, 71, 10, 125, 35, 226, 195, 117, 142, 30, 87, 64, 17, 7, 27, 92, 137, 49, 114, 227, 229, 208, 201, 244, 122, 39, 191, 243, 171, 221, 18, 138, 61, 180, 57, 211, 78, 169, 94, 59, 120, 34, 74, 15, 1, 217, 200, 55, 99, 129, 126, 38, 9, 233, 90, 65, 51, 14, 238, 178, 159, 149, 106, 241, 213, 82, 45, 31, 160, 222, 215, 141, 52] digits_modular_gains = [132.3769, 19.3468, 5.5078, 3.8928, 3.7407, 7.4877, 4.418, 6.5995, 0.5051, 2.4398, 0.4647, 1.3601, 4.9198, 0.2969, 6.3063, 0.3112, 1.2141, 0.6595, 1.0254, 2.7387, 0.5686, 0.1775, 1.3718, 0.2858, 0.8841, 0.9211, 0.5179, 0.8666, 0.782, 0.5096, 0.2196, 0.9902, 1.045, 2.0233, 0.7392, 0.4986, 1.3647, 0.4857, 0.0917, 0.4207, 0.923, 0.1395, 0.1498, 0.3478, 0.13, 0.1533, 0.4446, 0.1681, 0.3933, 0.1928, 0.1442, 0.1424, 0.2661, 0.1653, 0.0949, 0.3766, 0.2162, 0.1161, 1.5536, 0.1605, 0.1326, 0.1961, 0.1558, 0.2493, 0.0949, 0.4164, 0.0929, 0.0948, 0.0844, 0.141, 0.1492, 0.1259, 0.1625, 0.2601, 0.6224, 0.1378, 0.3119, 0.2467, 0.3328, 0.1718, 0.064, 0.0777, 0.1232, 0.1472, 0.0928, 0.1178, 0.0607, 0.2195, 0.2645, 0.1358, 0.334, 0.1326, 0.4131, 0.2004] # Test all optimizers def test_digits_naive(): model = FacilityLocationSelection(25, 'cosine', optimizer='naive') model.fit(X_digits_cupy, sample_cost=X_digits_costs) assert_array_equal(model.ranking, digits_ranking) assert_array_almost_equal(model.gains, digits_gains, 4) assert_less_equal(sum(X_digits_costs[model.ranking]), 25) def test_digits_lazy(): model = FacilityLocationSelection(25, 'cosine', optimizer='lazy') model.fit(X_digits_cupy, sample_cost=X_digits_costs) assert_array_equal(model.ranking, digits_ranking) assert_array_almost_equal(model.gains, digits_gains, 4) assert_less_equal(sum(X_digits_costs[model.ranking]), 25) def test_digits_two_stage(): model = FacilityLocationSelection(25, 'cosine', optimizer='two-stage') model.fit(X_digits_cupy, sample_cost=X_digits_costs) assert_array_equal(model.ranking[:50], digits_ranking[:50]) assert_array_almost_equal(model.gains[:50], digits_gains[:50], 4) assert_less_equal(sum(X_digits_costs[model.ranking]), 25) def test_digits_greedi_nn(): model = FacilityLocationSelection(25, 'cosine', optimizer='greedi', optimizer_kwds={'optimizer1': 'naive', 'optimizer2': 'naive'}, random_state=0) model.fit(X_digits_cupy, sample_cost=X_digits_costs) assert_array_equal(model.ranking, digits_greedi_ranking) assert_array_almost_equal(model.gains, digits_greedi_gains, 4) assert_less_equal(sum(X_digits_costs[model.ranking]), 25) def test_digits_greedi_ll(): model = FacilityLocationSelection(25, 'cosine', optimizer='greedi', optimizer_kwds={'optimizer1': 'lazy', 'optimizer2': 'lazy'}, random_state=0) model.fit(X_digits_cupy, sample_cost=X_digits_costs) assert_array_equal(model.ranking, digits_greedi_ranking) assert_array_almost_equal(model.gains, digits_greedi_gains, 4) assert_less_equal(sum(X_digits_costs[model.ranking]), 25) def test_digits_greedi_ln(): model = FacilityLocationSelection(25, 'cosine', optimizer='greedi', optimizer_kwds={'optimizer1': 'lazy', 'optimizer2': 'naive'}, random_state=0) model.fit(X_digits_cupy, sample_cost=X_digits_costs) assert_array_equal(model.ranking, digits_greedi_ranking) assert_array_almost_equal(model.gains, digits_greedi_gains, 4) assert_less_equal(sum(X_digits_costs[model.ranking]), 25) def test_digits_greedi_nl(): model = FacilityLocationSelection(25, 'cosine', optimizer='greedi', optimizer_kwds={'optimizer1': 'naive', 'optimizer2': 'lazy'}, random_state=0) model.fit(X_digits_cupy, sample_cost=X_digits_costs) assert_array_equal(model.ranking, digits_greedi_ranking) assert_array_almost_equal(model.gains, digits_greedi_gains, 4) assert_less_equal(sum(X_digits_costs[model.ranking]), 25) def test_digits_approximate(): model = FacilityLocationSelection(25, 'cosine', optimizer='approximate-lazy') model.fit(X_digits_cupy, sample_cost=X_digits_costs) assert_array_equal(model.ranking, digits_approx_ranking) assert_array_almost_equal(model.gains, digits_approx_gains, 4) assert_less_equal(sum(X_digits_costs[model.ranking]), 25) def test_digits_stochastic(): model = FacilityLocationSelection(25, 'cosine', optimizer='stochastic', random_state=0) model.fit(X_digits_cupy, sample_cost=X_digits_costs) assert_array_equal(model.ranking, digits_stochastic_ranking) assert_array_almost_equal(model.gains, digits_stochastic_gains, 4) assert_less_equal(sum(X_digits_costs[model.ranking]), 25) def test_digits_sample(): model = FacilityLocationSelection(25, 'cosine', optimizer='sample', random_state=0) model.fit(X_digits_cupy, sample_cost=X_digits_costs) assert_array_equal(model.ranking, digits_sample_ranking) assert_array_almost_equal(model.gains, digits_sample_gains, 4) assert_less_equal(sum(X_digits_costs[model.ranking]), 25) def test_digits_modular(): model = FacilityLocationSelection(25, 'cosine', optimizer='modular', random_state=0) model.fit(X_digits_cupy, sample_cost=X_digits_costs) assert_array_equal(model.ranking, digits_modular_ranking) assert_array_almost_equal(model.gains, digits_modular_gains, 4) assert_less_equal(sum(X_digits_costs[model.ranking]), 25) jmschrei-apricot-bf86e69/tests/test_optimizers/test_knapsack_feature_based.py000066400000000000000000000575441414554015600301170ustar00rootroot00000000000000import scipy import numpy try: import cupy except: import numpy as cupy from apricot import FeatureBasedSelection from apricot.optimizers import * from sklearn.datasets import load_digits from sklearn.metrics import pairwise_distances from nose.tools import assert_less_equal from numpy.testing import assert_almost_equal from numpy.testing import assert_array_equal from numpy.testing import assert_array_almost_equal # print("[" + ", ".join(map(str, model.ranking)) + "]") # print("[" + ", ".join([str(round(gain, 4)) for gain in model.gains]) + "]") numpy.random.seed(0) digits_data = load_digits() X_digits = digits_data.data[:500] X_digits_costs = numpy.abs(numpy.random.randn(500)) digits_ranking = [361, 437, 96, 364, 179, 216, 206, 54, 133, 26, 263, 488, 459, 384, 192, 316, 219, 79, 407, 187, 374, 318, 225, 150, 69, 495, 439, 163, 56, 442, 499, 209, 315, 425, 296, 8, 154, 269, 423, 319, 277, 424, 445, 267, 98, 13, 417, 252, 449, 280, 294, 30, 310, 10, 71, 242, 309, 302, 7, 365, 64, 226, 87, 117, 347, 35, 195, 413, 389, 27, 326, 366, 142, 408, 458, 125, 463, 229, 317, 17, 391, 49, 443, 378, 265, 208, 92, 489, 453, 201, 227, 429, 370, 469, 373, 412, 137, 243, 268, 191, 491, 221, 345, 78, 368, 394, 253, 15, 114, 39, 322, 472, 433, 244, 171, 363, 211, 284, 61, 435, 405, 392, 416, 138, 57, 403, 178, 31, 180, 169, 55, 430, 241, 270, 275, 325, 126, 160, 122, 34, 452, 440, 381, 38, 82, 217, 94, 14, 18, 454, 238, 51, 200, 9, 298, 65, 149, 74, 346, 314, 456, 349, 479, 305, 52, 44, 141, 1, 59, 357, 99, 233, 273, 483, 77, 464, 222, 446, 344, 337, 215, 460, 462, 367, 299, 67, 120, 213, 223, 421, 266, 106, 276, 90, 45, 232, 250, 129, 291, 375, 341, 436, 131, 159, 143, 251, 487, 261, 231, 471, 313, 173, 376, 228, 203, 135, 128, 358, 497, 136, 204, 235, 58, 415, 118, 467, 390, 428, 155, 353, 132, 348, 21, 335, 402, 372, 256, 255, 194, 262, 354, 285, 400, 355, 290, 134, 332, 254, 451, 177, 239, 320, 184, 323, 395, 282, 496, 447, 297, 303, 396, 172, 259, 176, 308, 304, 342, 175, 124, 95] digits_gains = [88.6281, 49.2776, 49.1627, 33.5536, 30.2392, 21.4102, 21.3163, 21.0239, 18.6005, 24.3436, 25.1537, 20.8049, 21.1581, 13.7809, 13.2806, 13.6315, 12.9203, 16.6748, 16.568, 14.1052, 12.1243, 13.5557, 13.1612, 13.7852, 9.8522, 12.8351, 12.7134, 13.666, 9.6995, 12.1267, 10.3631, 12.7313, 11.5199, 10.5392, 10.7362, 10.6637, 9.8994, 9.5494, 11.6034, 9.1765, 9.7576, 10.6854, 9.2532, 6.7021, 9.2833, 8.6519, 9.9851, 9.425, 7.2098, 7.0312, 8.5304, 9.4939, 8.0097, 8.3233, 7.3764, 7.4018, 8.6303, 6.2407, 7.4926, 7.7419, 8.3696, 7.3022, 8.3415, 6.8729, 6.8827, 6.784, 7.3556, 9.6413, 6.653, 7.3921, 5.9799, 7.1762, 6.1468, 6.6107, 6.9663, 5.1534, 6.105, 7.8232, 9.1366, 6.4755, 6.9012, 6.4959, 5.8511, 6.1167, 5.5371, 8.0929, 5.9699, 6.1324, 7.6974, 6.568, 6.0337, 6.7261, 6.8943, 5.8799, 5.726, 6.9715, 4.6546, 6.4846, 6.6582, 5.6836, 7.394, 7.2548, 5.6177, 6.1787, 5.2397, 5.5067, 5.9741, 6.2165, 4.9515, 5.5464, 4.9831, 4.9822, 4.9542, 5.4379, 5.5735, 5.7573, 5.3452, 4.7459, 5.8402, 5.0253, 5.6446, 5.5661, 5.7245, 6.032, 4.5713, 5.3202, 6.7798, 5.5925, 5.1634, 4.5437, 6.0376, 6.522, 5.488, 5.4749, 5.301, 4.2001, 5.7287, 6.4498, 3.8145, 4.4212, 5.8498, 4.8901, 4.7773, 4.7387, 5.6807, 4.5934, 4.2994, 5.3386, 3.6605, 3.9401, 4.9063, 4.4232, 4.1919, 4.6068, 4.4669, 4.4454, 5.0892, 4.4115, 3.9838, 4.1612, 5.0179, 3.6978, 5.2296, 4.8121, 5.2923, 5.1573, 4.4241, 4.003, 3.5921, 4.695, 3.9326, 4.0351, 3.7661, 4.0718, 5.529, 4.7826, 4.3825, 4.2937, 4.1185, 4.1308, 3.7346, 4.6208, 3.9064, 3.4705, 3.2431, 4.0402, 3.2738, 4.0183, 4.1181, 4.9359, 4.3949, 3.4482, 4.0199, 3.2682, 3.5425, 4.3776, 4.18, 3.2546, 3.8277, 3.8881, 3.5466, 6.3897, 4.1421, 3.3283, 4.7688, 4.3075, 4.1237, 3.7263, 3.5937, 3.9009, 5.2527, 4.6259, 4.4977, 4.1003, 4.4792, 4.5641, 4.5043, 3.185, 3.4011, 3.7946, 4.188, 5.0948, 4.1237, 4.4111, 3.9452, 5.084, 3.6193, 3.6234, 4.1638, 4.3092, 4.0684, 3.4654, 3.895, 3.597, 4.5198, 4.8692, 4.1396, 3.9492, 2.9678, 3.373, 3.6616, 3.4027, 3.3291, 2.8908, 3.4774, 3.5043, 4.2464, 3.7875, 4.4772, 3.7516, 3.6698, 3.8446, 3.3235, 4.7009, 4.0049, 3.6123, 3.4211, 5.0027, 2.9714, 3.4559, 4.3426, 4.32, 3.0703, 4.0257, 3.4569, 3.2732, 3.3623, 3.3122, 3.3131, 3.3538] digits_greedi_ranking = [361, 437, 96, 364, 179, 216, 206, 54, 133, 26, 263, 488, 459, 384, 192, 316, 219, 79, 407, 187, 374, 318, 225, 150, 69, 495, 439, 163, 56, 442, 499, 209, 315, 425, 296, 8, 154, 269, 423, 319, 277, 424, 445, 267, 98, 13, 417, 252, 449, 280, 294, 30, 310, 10, 71, 242, 309, 302, 7, 365, 64, 226, 87, 117, 347, 35, 195, 413, 389, 27, 326, 366, 142, 408, 458, 125, 463, 229, 317, 17, 391, 49, 443, 378, 265, 208, 92, 489, 453, 201, 227, 429, 370, 469, 373, 412, 137, 243, 268, 191, 491, 221, 345, 78, 368, 394, 253, 15, 114, 39, 322, 472, 433, 244, 171, 363, 211, 284, 61, 435, 405, 392, 416, 138, 57, 403, 178, 31, 180, 169, 55, 430, 241, 270, 275, 325, 126, 160, 122, 34, 452, 440, 381, 38, 82, 217, 94, 14, 18, 454, 238, 51, 200, 9, 298, 65, 149, 74, 346, 314, 456, 349, 479, 305, 52, 44, 141, 1, 59, 357, 99, 233, 273, 483, 77, 464, 222, 446, 344, 337, 215, 460, 462, 367, 299, 67, 120, 213, 223, 421, 266, 106, 276, 90, 45, 232, 250, 129, 291, 375, 341, 436, 131, 159, 143, 251, 487, 261, 231, 471, 313, 173, 376, 228, 203, 135, 128, 358, 497, 136, 204, 235, 58, 415, 118, 467, 390, 428, 155, 353, 132, 348, 21, 335, 402, 372, 256, 255, 194, 262, 354, 285, 400, 355, 290, 134, 332, 254, 451, 177, 239, 320, 184, 323, 395, 282, 496, 447, 297, 303, 396, 172, 259, 176, 308, 304, 342, 175, 124, 95] digits_greedi_gains = [88.6281, 49.2776, 49.1627, 33.5536, 30.2392, 21.4102, 21.3163, 21.0239, 18.6005, 24.3436, 25.1537, 20.8049, 21.1581, 13.7809, 13.2806, 13.6315, 12.9203, 16.6748, 16.568, 14.1052, 12.1243, 13.5557, 13.1612, 13.7852, 9.8522, 12.8351, 12.7134, 13.666, 9.6995, 12.1267, 10.3631, 12.7313, 11.5199, 10.5392, 10.7362, 10.6637, 9.8994, 9.5494, 11.6034, 9.1765, 9.7576, 10.6854, 9.2532, 6.7021, 9.2833, 8.6519, 9.9851, 9.425, 7.2098, 7.0312, 8.5304, 9.4939, 8.0097, 8.3233, 7.3764, 7.4018, 8.6303, 6.2407, 7.4926, 7.7419, 8.3696, 7.3022, 8.3415, 6.8729, 6.8827, 6.784, 7.3556, 9.6413, 6.653, 7.3921, 5.9799, 7.1762, 6.1468, 6.6107, 6.9663, 5.1534, 6.105, 7.8232, 9.1366, 6.4755, 6.9012, 6.4959, 5.8511, 6.1167, 5.5371, 8.0929, 5.9699, 6.1324, 7.6974, 6.568, 6.0337, 6.7261, 6.8943, 5.8799, 5.726, 6.9715, 4.6546, 6.4846, 6.6582, 5.6836, 7.394, 7.2548, 5.6177, 6.1787, 5.2397, 5.5067, 5.9741, 6.2165, 4.9515, 5.5464, 4.9831, 4.9822, 4.9542, 5.4379, 5.5735, 5.7573, 5.3452, 4.7459, 5.8402, 5.0253, 5.6446, 5.5661, 5.7245, 6.032, 4.5713, 5.3202, 6.7798, 5.5925, 5.1634, 4.5437, 6.0376, 6.522, 5.488, 5.4749, 5.301, 4.2001, 5.7287, 6.4498, 3.8145, 4.4212, 5.8498, 4.8901, 4.7773, 4.7387, 5.6807, 4.5934, 4.2994, 5.3386, 3.6605, 3.9401, 4.9063, 4.4232, 4.1919, 4.6068, 4.4669, 4.4454, 5.0892, 4.4115, 3.9838, 4.1612, 5.0179, 3.6978, 5.2296, 4.8121, 5.2923, 5.1573, 4.4241, 4.003, 3.5921, 4.695, 3.9326, 4.0351, 3.7661, 4.0718, 5.529, 4.7826, 4.3825, 4.2937, 4.1185, 4.1308, 3.7346, 4.6208, 3.9064, 3.4705, 3.2431, 4.0402, 3.2738, 4.0183, 4.1181, 4.9359, 4.3949, 3.4482, 4.0199, 3.2682, 3.5425, 4.3776, 4.18, 3.2546, 3.8277, 3.8881, 3.5466, 6.3897, 4.1421, 3.3283, 4.7688, 4.3075, 4.1237, 3.7263, 3.5937, 3.9009, 5.2527, 4.6259, 4.4977, 4.1003, 4.4792, 4.5641, 4.5043, 3.185, 3.4011, 3.7946, 4.188, 5.0948, 4.1237, 4.4111, 3.9452, 5.084, 3.6193, 3.6234, 4.1638, 4.3092, 4.0684, 3.4654, 3.895, 3.597, 4.5198, 4.8692, 4.1396, 3.9492, 2.9678, 3.373, 3.6616, 3.4027, 3.3291, 2.8908, 3.4774, 3.5043, 4.2464, 3.7875, 4.4772, 3.7516, 3.6698, 3.8446, 3.3235, 4.7009, 4.0049, 3.6123, 3.4211, 5.0027, 2.9714, 3.4559, 4.3426, 4.32, 3.0703, 4.0257, 3.4569, 3.2732, 3.3623, 3.3122, 3.3131, 3.3538] digits_approx_ranking = [361, 437, 96, 364, 179, 216, 206, 54, 133, 26, 263, 459, 488, 192, 384, 316, 79, 219, 407, 187, 374, 318, 225, 150, 69, 495, 439, 163, 442, 56, 499, 209, 315, 425, 296, 8, 154, 269, 423, 319, 277, 424, 445, 267, 98, 13, 417, 449, 252, 294, 280, 30, 310, 10, 71, 242, 309, 302, 7, 365, 226, 64, 87, 347, 117, 35, 195, 389, 27, 413, 326, 366, 142, 408, 458, 125, 463, 229, 17, 391, 49, 317, 443, 265, 378, 208, 92, 489, 453, 201, 227, 429, 370, 469, 373, 412, 137, 243, 268, 191, 491, 221, 345, 78, 368, 253, 394, 114, 39, 322, 433, 15, 472, 244, 171, 363, 211, 284, 61, 392, 405, 435, 416, 138, 57, 178, 180, 403, 169, 31, 55, 430, 270, 241, 275, 325, 126, 160, 34, 122, 82, 452, 381, 440, 14, 38, 94, 217, 454, 18, 51, 238, 200, 298, 65, 9, 346, 74, 314, 149, 456, 349, 479, 305, 52, 1, 141, 44, 99, 59, 357, 483, 273, 233, 77, 222, 464, 344, 446, 215, 337, 462, 367, 67, 299, 460, 120, 106, 213, 266, 421, 276, 90, 250, 232, 129, 45, 223, 341, 291, 375, 131, 159, 251, 487, 436, 143, 261, 471, 231, 313, 173, 376, 228, 203, 128, 358, 135, 497, 136, 58, 235, 415, 428, 390, 204, 118, 353, 155, 467, 132, 348, 335, 21, 402, 256, 372, 194, 262, 255, 354, 400, 290, 134, 285, 355, 451, 239, 177, 254, 332, 320, 184, 282, 496, 395, 297, 303, 323, 396, 172, 304, 259, 308, 176, 447, 342, 175, 124, 95] digits_approx_gains = [88.6281, 49.2776, 49.1627, 33.5536, 30.2392, 21.4102, 21.3163, 21.0239, 18.6005, 24.3436, 25.1537, 22.0441, 19.9189, 13.7357, 13.3258, 13.6315, 17.0328, 12.5623, 16.568, 14.1052, 12.1243, 13.5557, 13.1612, 13.7852, 9.8522, 12.8351, 12.7134, 13.666, 12.2839, 9.5424, 10.3631, 12.7313, 11.5199, 10.5392, 10.7362, 10.6637, 9.8994, 9.5494, 11.6034, 9.1765, 9.7576, 10.6854, 9.2532, 6.7021, 9.2833, 8.6519, 9.9851, 7.2957, 9.3391, 8.5895, 6.9722, 9.4939, 8.0097, 8.3233, 7.3764, 7.4018, 8.6303, 6.2407, 7.4926, 7.7419, 7.3417, 8.3301, 8.3415, 6.9406, 6.8151, 6.784, 7.3556, 6.6915, 7.4707, 9.5242, 5.9799, 7.1762, 6.1468, 6.6107, 6.9663, 5.1534, 6.105, 7.8232, 6.5199, 6.9709, 6.5252, 8.9931, 5.8511, 5.5649, 6.0888, 8.0929, 5.9699, 6.1324, 7.6974, 6.568, 6.0337, 6.7261, 6.8943, 5.8799, 5.726, 6.9715, 4.6546, 6.4846, 6.6582, 5.6836, 7.394, 7.2548, 5.6177, 6.1787, 5.2397, 6.0044, 5.4765, 4.9737, 5.5765, 5.0003, 4.9929, 6.1239, 4.9667, 5.4379, 5.5735, 5.7573, 5.3452, 4.7459, 5.8402, 5.619, 5.6457, 4.9713, 5.7245, 6.032, 4.5713, 6.7975, 5.1957, 5.2931, 4.575, 5.5383, 6.0376, 6.522, 5.4915, 5.4713, 5.301, 4.2001, 5.7287, 6.4498, 4.4337, 3.802, 5.76, 5.8242, 4.7753, 4.8518, 5.3849, 4.7108, 4.2977, 4.5634, 3.9506, 3.6501, 4.4394, 4.89, 4.1919, 4.4805, 4.4599, 4.5787, 4.0068, 4.4165, 4.1748, 5.0476, 5.0179, 3.6978, 5.2296, 4.8121, 5.2923, 4.0281, 4.4294, 5.1269, 3.9538, 3.5831, 4.6827, 4.0929, 3.7639, 4.0163, 5.529, 4.3956, 4.7694, 4.1321, 4.2801, 3.7463, 4.1191, 3.9183, 3.4792, 4.0556, 3.2457, 4.5821, 3.2738, 3.4867, 4.0125, 4.4083, 4.924, 4.0278, 3.2758, 4.2129, 4.3896, 3.2699, 3.5279, 4.0227, 3.5576, 3.8225, 3.8823, 4.1491, 3.3381, 4.3307, 4.1423, 6.3533, 4.7464, 3.7263, 3.9075, 3.5871, 5.2527, 4.6259, 4.4977, 4.1003, 4.4792, 4.5142, 3.1924, 4.5468, 3.4011, 3.7946, 4.1429, 5.092, 4.4166, 3.6497, 3.6271, 4.1567, 3.9321, 4.3316, 4.1626, 5.0512, 4.0684, 3.4654, 3.6033, 3.8887, 4.5198, 4.1464, 4.8624, 2.9741, 3.3802, 3.9357, 3.6616, 3.3333, 3.4879, 3.5179, 3.3863, 2.8789, 4.4972, 3.6917, 3.7588, 3.7737, 4.211, 3.8446, 3.3235, 3.6289, 3.4333, 3.9974, 2.9824, 3.4678, 4.6653, 4.349, 4.3327, 3.2933, 3.0679, 3.4689, 4.0204, 4.9506, 3.3623, 3.3122, 3.3131, 3.3538] digits_stochastic_ranking = [90, 278, 143, 201, 396, 262, 476, 99, 39, 199, 321, 163, 381, 152, 342, 478, 45, 78, 331, 224, 26, 253, 349, 439, 446, 209, 256, 247, 276, 354, 144, 498, 344, 92, 62, 203, 177, 466, 165, 106, 296, 298, 414, 280, 23, 436, 424, 84, 269, 384, 491, 305, 357, 479, 229, 109, 401, 139, 337, 24, 493, 218, 323, 110, 487, 410, 486, 50, 313, 220, 188, 65, 266, 166, 227, 150, 408, 368, 400, 383, 133, 193, 407, 459, 297, 64, 194, 10, 31, 181, 468, 168, 235, 395, 81, 18, 406, 386, 211, 34, 148, 333, 241, 22, 376, 119, 35, 248, 154, 405, 137, 160, 89, 122, 382, 146, 197, 120, 196, 56, 4, 348, 351, 412, 255, 327, 76, 244, 419, 455] digits_stochastic_gains = [208.1058, 34.9391, 66.1238, 139.4914, 44.0288, 37.259, 14.608, 47.4405, 66.3913, 14.175, 19.795, 240.4258, 45.1475, 19.1018, 21.583, 14.3827, 27.3749, 47.8223, 12.8022, 9.4617, 331.1841, 41.1507, 28.6518, 174.557, 24.6193, 139.1466, 17.6943, 10.7508, 21.1417, 15.3493, 3.9128, 13.725, 21.0808, 46.3346, 11.7431, 16.6547, 14.3263, 8.6153, 10.9222, 18.0867, 102.5885, 21.7749, 5.3496, 66.4936, 10.9994, 16.9759, 78.2176, 6.8646, 86.2641, 187.3022, 29.4332, 18.5908, 17.4895, 18.6013, 38.8778, 5.71, 7.4692, 5.9094, 16.2617, 2.5924, 6.6961, 3.2064, 9.0945, 3.2062, 13.2021, 4.8524, 4.2264, 6.9179, 12.2523, 7.5919, 8.8202, 15.7501, 13.4587, 7.1858, 28.5414, 106.4279, 34.4298, 23.0747, 9.7728, 6.2705, 181.7605, 4.5085, 130.4226, 149.9606, 8.9354, 38.2979, 9.367, 44.8715, 15.5617, 3.9888, 2.9066, 6.2502, 10.2346, 8.7379, 6.637, 14.8912, 7.4731, 6.6325, 20.6332, 14.6896, 5.0146, 5.5954, 15.8186, 5.4479, 10.2851, 5.6058, 35.5256, 7.298, 57.388, 16.4506, 20.9093, 14.4064, 4.9722, 14.2542, 2.4066, 5.8037, 6.8069, 11.0472, 5.9731, 71.0232, 2.301, 8.439, 3.6548, 19.3062, 7.8866, 2.7835, 6.5157, 16.6291, 3.3089, 2.7533] digits_sample_ranking = [361, 437, 364, 179, 216, 206, 54, 133, 26, 488, 263, 459, 384, 192, 219, 79, 407, 187, 318, 225, 150, 69, 495, 439, 163, 56, 442, 499, 209, 315, 425, 296, 8, 269, 423, 277, 319, 424, 267, 98, 13, 417, 252, 449, 280, 294, 30, 310, 10, 71, 242, 309, 302, 7, 365, 64, 226, 87, 347, 117, 35, 195, 389, 413, 27, 326, 142, 408, 458, 125, 463, 229, 17, 317, 391, 49, 443, 378, 265, 208, 92, 453, 201, 227, 429, 370, 469, 373, 412, 137, 243, 491, 268, 345, 78, 368, 394, 253, 114, 39, 433, 472, 244, 363, 211, 284, 61, 392, 435, 405, 416, 57, 138, 178, 180, 31, 169, 55, 430, 270, 275, 126, 160, 122, 34, 452, 38, 381, 440, 14, 94, 82, 217, 454, 18, 200, 51, 298, 9, 65, 346, 74, 149, 314, 456, 349, 479, 305, 52, 141, 44, 99, 59, 357, 483, 273, 77, 464, 222, 446, 344, 337, 215, 462, 460, 299, 120, 67, 223, 421, 266, 106, 232, 276, 129, 291, 375, 341, 131, 436, 143, 487, 251, 261, 471, 231, 313, 173, 376, 228, 203, 135, 128, 497, 358, 136, 235, 204, 58, 415, 467, 155, 132, 348, 335, 402, 194, 372, 256, 255, 262, 400, 354, 134, 285, 239, 290, 177, 332, 320, 184, 395, 496, 282, 323, 447, 297, 303, 172, 396, 259, 176, 308, 342, 304, 175, 95, 32, 274, 248, 328, 360, 338, 188, 406, 212, 197, 411, 359, 12, 379, 484, 399, 420] digits_sample_gains = [88.6281, 49.2776, 46.1952, 35.1591, 24.0905, 23.6633, 22.8776, 20.4509, 25.978, 23.0994, 24.9552, 22.0361, 14.3358, 13.7588, 13.9028, 17.7287, 17.5856, 14.9446, 14.6097, 14.1903, 14.6263, 10.5363, 13.5932, 13.4639, 14.3232, 10.2515, 12.4887, 10.7796, 13.3691, 12.0276, 11.0021, 11.2662, 11.1356, 10.0853, 12.1591, 10.4833, 9.5426, 11.2118, 7.1722, 9.8493, 9.14, 10.5354, 9.9864, 7.5875, 7.4246, 9.0387, 10.0267, 8.3476, 8.7625, 7.6871, 7.7916, 9.0025, 6.5112, 7.8089, 8.0492, 8.788, 7.606, 8.6363, 7.2122, 7.0589, 7.0383, 7.644, 6.9673, 9.8162, 7.6994, 6.221, 6.4352, 6.8355, 7.2875, 5.3594, 6.3144, 8.2114, 6.8265, 9.3427, 7.1588, 6.7564, 6.0313, 6.3289, 5.7286, 8.4513, 6.1857, 8.0396, 6.7919, 6.3059, 6.9368, 7.1671, 6.141, 5.9238, 7.2676, 4.8534, 6.727, 7.7432, 6.7939, 5.871, 6.4799, 5.5088, 5.7597, 6.2557, 5.203, 5.8162, 5.2386, 5.1904, 5.7111, 6.1262, 5.6227, 4.997, 6.206, 5.9558, 5.2691, 5.9093, 6.0531, 4.8762, 6.3456, 7.1599, 5.4449, 5.7894, 4.7688, 6.3723, 6.8906, 5.8157, 5.5807, 6.0653, 6.8431, 4.0457, 4.683, 6.2034, 5.0719, 5.0336, 5.1226, 5.7008, 4.5525, 5.928, 4.8004, 4.1914, 3.855, 4.4669, 4.6575, 4.7497, 4.8366, 4.6947, 4.2414, 4.6538, 5.3152, 4.3872, 5.2803, 3.9046, 5.5042, 5.0626, 5.5824, 4.6882, 5.4045, 4.1932, 3.7685, 4.9292, 4.3462, 3.9668, 5.8442, 5.0446, 4.614, 4.5163, 4.3327, 4.3527, 3.9379, 4.1269, 4.845, 3.419, 3.4615, 4.2472, 4.345, 5.2242, 4.6351, 3.6382, 4.6546, 4.2166, 3.4644, 4.0436, 4.1163, 3.7715, 4.3943, 6.6336, 5.0795, 4.3962, 4.55, 3.9479, 4.1614, 3.7916, 5.5351, 4.8986, 4.7731, 4.3803, 4.7372, 4.833, 4.7654, 3.633, 3.3616, 4.0037, 5.4006, 4.4093, 4.3546, 4.6434, 5.3603, 4.4098, 4.3137, 3.6787, 3.834, 4.8287, 3.2203, 5.1323, 4.4007, 4.1991, 3.5845, 3.589, 3.8798, 3.7741, 3.5977, 3.99, 3.6831, 4.0231, 4.4803, 4.1228, 3.5323, 4.2817, 3.6936, 3.857, 4.8977, 5.2928, 3.1879, 3.6964, 4.6235, 4.6104, 3.2628, 4.2733, 3.6797, 3.5954, 3.4702, 3.5199, 3.5855, 4.4705, 3.2304, 3.9827, 3.4255, 3.3793, 3.2972, 3.5498, 3.8863, 3.7346, 3.8974, 3.778, 2.9142, 3.5567, 4.0718, 3.9667, 3.8971, 4.2189] digits_modular_ranking = [361, 437, 96, 364, 179, 216, 206, 54, 133, 26, 488, 459, 384, 316, 219, 192, 263, 187, 407, 79, 374, 69, 318, 150, 225, 439, 495, 56, 499, 315, 209, 163, 296, 425, 269, 8, 154, 423, 319, 442, 424, 445, 277, 267, 13, 449, 417, 98, 252, 294, 280, 242, 310, 302, 10, 71, 309, 30, 35, 347, 365, 226, 7, 389, 117, 195, 64, 326, 125, 142, 87, 408, 27, 458, 463, 366, 17, 265, 378, 92, 443, 49, 391, 229, 489, 208, 201, 370, 453, 227, 137, 469, 373, 413, 412, 345, 114, 491, 394, 429, 317, 368, 433, 243, 191, 268, 253, 39, 284, 322, 221, 244, 78, 472, 435, 15, 363, 405, 61, 138, 392, 171, 416, 180, 211, 122, 169, 325, 57, 18, 55, 178, 34, 126, 94, 275, 217, 454, 270, 452, 38, 74, 349, 241, 346, 160, 403, 9, 59, 51, 430, 381, 14, 440, 314, 298, 200, 238, 149, 1, 273, 65, 120, 462, 31, 305, 233, 446, 299, 99, 483, 337, 479, 357, 456, 82, 52, 367, 90, 129, 344, 222, 44, 141, 464, 213, 276, 159, 106, 45, 215, 460, 223, 266, 232, 67, 250, 291, 421, 251, 261, 375, 77, 487, 341, 471, 358, 231, 390, 131, 497, 203, 335, 428, 118, 415, 143, 228, 173, 348, 136, 128, 58, 355, 255, 285, 254, 402, 21, 262, 194, 313, 400, 354, 235, 353, 332, 297, 256, 376, 259, 135, 290, 304, 132, 274, 239, 134, 496, 184, 204, 175, 155, 303, 451, 359, 282, 328, 177, 395, 342, 320, 124, 248, 95, 308, 396, 360, 240, 60, 288, 188] digits_modular_gains = [88.6281, 49.2776, 49.1627, 33.5536, 30.2392, 21.4102, 21.3163, 21.0239, 18.6005, 24.3436, 21.8248, 22.1498, 14.6174, 14.7146, 13.8577, 12.8173, 20.7484, 15.0779, 16.6032, 15.667, 12.1243, 10.5438, 13.3021, 13.8998, 12.6086, 12.9429, 12.6056, 9.8527, 11.0453, 12.2076, 12.8129, 12.7589, 11.0089, 10.5018, 9.9407, 10.6487, 9.8615, 11.7446, 9.2623, 10.6284, 10.8207, 9.3886, 9.4869, 6.7021, 8.7993, 7.4797, 9.9837, 8.9533, 9.3391, 8.5895, 6.9722, 7.6576, 8.0123, 6.5012, 8.3233, 7.331, 8.637, 9.0137, 7.2385, 7.1299, 7.6349, 7.2779, 7.2884, 6.8517, 6.8012, 7.4547, 8.0651, 6.1008, 5.3779, 6.229, 7.9713, 6.6562, 7.3511, 7.0436, 6.1553, 7.0138, 6.5984, 5.7882, 6.2854, 6.2285, 5.8846, 6.51, 6.9062, 7.5401, 6.2211, 8.074, 6.684, 7.0669, 7.6731, 6.0547, 4.787, 5.9046, 5.7798, 8.8235, 6.9968, 5.8183, 5.2652, 7.5079, 5.7178, 6.8193, 8.1538, 5.3108, 5.1974, 6.3137, 5.5613, 6.4414, 5.986, 5.6107, 4.9517, 5.0234, 6.9593, 5.4848, 5.9595, 4.9433, 5.1334, 6.0346, 5.7439, 5.7101, 5.8472, 6.1393, 5.5868, 5.3848, 5.7201, 5.2581, 5.1776, 3.997, 4.612, 4.3586, 4.5095, 3.9115, 6.062, 6.6625, 4.5401, 5.7957, 4.4819, 5.3081, 4.7344, 4.1144, 5.3735, 5.8755, 4.7982, 4.6465, 3.9433, 5.3034, 4.1692, 6.3013, 5.03, 4.693, 3.8114, 4.4952, 6.1688, 4.6654, 5.257, 4.7556, 4.2596, 4.4525, 4.1426, 4.7913, 5.0721, 4.1121, 3.9113, 4.3963, 3.4838, 4.1385, 5.0666, 4.7971, 4.1032, 4.4124, 3.4035, 3.9653, 4.132, 4.2369, 5.1075, 4.6578, 4.8352, 5.2105, 5.133, 3.5451, 3.4012, 3.404, 4.1171, 4.3596, 4.9272, 4.2309, 4.6939, 4.0407, 4.0911, 3.4635, 3.4982, 3.5903, 3.6595, 4.5273, 4.0931, 4.3746, 4.3981, 3.9383, 4.1827, 3.8326, 4.856, 4.3681, 3.787, 3.88, 5.1671, 4.1483, 3.522, 3.9363, 3.2727, 3.6151, 3.7704, 4.0696, 3.4527, 4.5223, 3.774, 3.7362, 4.0497, 4.5021, 4.651, 4.0528, 4.5525, 3.5629, 3.8009, 4.4599, 4.1349, 3.0167, 4.0708, 3.514, 3.9565, 4.5866, 3.9307, 3.45, 3.0172, 5.1046, 3.3972, 3.7501, 4.9486, 4.2396, 4.3388, 3.1085, 4.1273, 4.3012, 3.2076, 4.3668, 3.4935, 3.4235, 3.9811, 3.1918, 3.7005, 3.4823, 3.4726, 3.3583, 3.9762, 3.4183, 3.9798, 3.5049, 4.4256, 2.8802, 3.6136, 3.3287, 3.6929, 3.9743, 3.4, 3.7764, 3.353, 3.7937, 3.381, 3.4648, 4.2951, 3.2154, 2.8252, 2.9735, 2.9633, 3.3773] # Test all optimizers def test_digits_naive(): model = FeatureBasedSelection(100, 'sqrt', optimizer='naive') model.fit(X_digits, sample_cost=X_digits_costs) assert_array_equal(model.ranking, digits_ranking) assert_array_almost_equal(model.gains, digits_gains, 4) assert_less_equal(sum(X_digits_costs[model.ranking]), 100) def test_digits_lazy(): model = FeatureBasedSelection(100, 'sqrt', optimizer='lazy') model.fit(X_digits, sample_cost=X_digits_costs) assert_array_equal(model.ranking, digits_ranking) assert_array_almost_equal(model.gains, digits_gains, 4) assert_less_equal(sum(X_digits_costs[model.ranking]), 100) def test_digits_two_stage(): model = FeatureBasedSelection(100, 'sqrt', optimizer='two-stage') model.fit(X_digits, sample_cost=X_digits_costs) assert_array_equal(model.ranking, digits_ranking) assert_array_almost_equal(model.gains, digits_gains, 4) assert_less_equal(sum(X_digits_costs[model.ranking]), 100) def test_digits_greedi_nn(): model = FeatureBasedSelection(100, 'sqrt', optimizer='greedi', optimizer_kwds={'optimizer1': 'naive', 'optimizer2': 'naive'}, random_state=0) model.fit(X_digits, sample_cost=X_digits_costs) assert_array_equal(model.ranking[:50], digits_greedi_ranking[:50]) assert_array_almost_equal(model.gains[:50], digits_greedi_gains[:50], 4) assert_less_equal(sum(X_digits_costs[model.ranking]), 100) def test_digits_greedi_ll(): model = FeatureBasedSelection(100, 'sqrt', optimizer='greedi', optimizer_kwds={'optimizer1': 'lazy', 'optimizer2': 'lazy'}, random_state=0) model.fit(X_digits, sample_cost=X_digits_costs) assert_array_equal(model.ranking[:30], digits_greedi_ranking[:30]) assert_array_almost_equal(model.gains[:30], digits_greedi_gains[:30], 4) assert_less_equal(sum(X_digits_costs[model.ranking]), 100) def test_digits_greedi_ln(): model = FeatureBasedSelection(100, 'sqrt', optimizer='greedi', optimizer_kwds={'optimizer1': 'lazy', 'optimizer2': 'naive'}, random_state=0) model.fit(X_digits, sample_cost=X_digits_costs) assert_array_equal(model.ranking, digits_greedi_ranking) assert_array_almost_equal(model.gains, digits_greedi_gains, 4) assert_less_equal(sum(X_digits_costs[model.ranking]), 100) def test_digits_greedi_nl(): model = FeatureBasedSelection(100, 'sqrt', optimizer='greedi', optimizer_kwds={'optimizer1': 'naive', 'optimizer2': 'lazy'}, random_state=0) model.fit(X_digits, sample_cost=X_digits_costs) assert_array_equal(model.ranking[:30], digits_greedi_ranking[:30]) assert_array_almost_equal(model.gains[:30], digits_greedi_gains[:30], 4) assert_less_equal(sum(X_digits_costs[model.ranking]), 100) def test_digits_approximate(): model = FeatureBasedSelection(100, 'sqrt', optimizer='approximate-lazy') model.fit(X_digits, sample_cost=X_digits_costs) assert_array_equal(model.ranking, digits_approx_ranking) assert_array_almost_equal(model.gains, digits_approx_gains, 4) assert_less_equal(sum(X_digits_costs[model.ranking]), 100) def test_digits_stochastic(): model = FeatureBasedSelection(100, 'sqrt', optimizer='stochastic', random_state=0) model.fit(X_digits, sample_cost=X_digits_costs) assert_array_equal(model.ranking, digits_stochastic_ranking) assert_array_almost_equal(model.gains, digits_stochastic_gains, 4) assert_less_equal(sum(X_digits_costs[model.ranking]), 100) def test_digits_sample(): model = FeatureBasedSelection(100, 'sqrt', optimizer='sample', random_state=0) model.fit(X_digits, sample_cost=X_digits_costs) assert_array_equal(model.ranking, digits_sample_ranking) assert_array_almost_equal(model.gains, digits_sample_gains, 4) assert_less_equal(sum(X_digits_costs[model.ranking]), 100) def test_digits_modular(): model = FeatureBasedSelection(100, 'sqrt', optimizer='modular', random_state=0) model.fit(X_digits, sample_cost=X_digits_costs) assert_array_equal(model.ranking, digits_modular_ranking) assert_array_almost_equal(model.gains, digits_modular_gains, 4) assert_less_equal(sum(X_digits_costs[model.ranking]), 100) jmschrei-apricot-bf86e69/tutorials/000077500000000000000000000000001414554015600174435ustar00rootroot00000000000000jmschrei-apricot-bf86e69/tutorials/1. Overview of Apricot.ipynb000066400000000000000000010110101414554015600244540ustar00rootroot00000000000000{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "## Overview of Apricot\n", "Author: Jacob Schreiber \n", "\n", "The amount of collected data in the world is dramatically increasing every year. Naturally, this increase has spurred the training of ever-more complex machine learning models with millions to billions of trainable parameters that have redefined state-of-the-art performance across fields. We can see the effect of these models everywhere in our life, from natural language processing models that translate text for us in our phones to computer vision models that will be a critical component of self-driving cars and adding more filters to our selfies.\n", "\n", "However, to process this data, a corresponding increasing in the amount of computing power is usually necessary to yield meaningful results. In some cases the additional computational burden can be mitigated with parallelized versions of algorithms that are distributed across massive clusters, but pocket-sized massive clusters aren't yet available for the masses, and so these problems remain difficult for most.\n", "\n", "Submodular optimization provides an approach for reducing the computational load of handling large data sets. The key idea is that as the size of data sets grow, generally so too does the redundancy, and the redundant examples do not provide much benefit. In this approach, the selection of a non-redundant subset of elements is treated explicitly as an optimization problem. Then, this subset can be used in the place of the large data set. Because the subset still maintains the diversity seen in the original data set, it can be used for tasks such as training accurate machine learning models. \n", "\n", "In several key ways, submodular optimization is similar to optimization performed on convex models (or convex approximations of non-covex models, such as deep neural networks). A user first defines a submodular function (with properties we will discuss later) that measures some notion of redundancy among a set of items, in an analogous manner to defining a layer/model. Then, the user selects an optimization approach to use, just as one would choose among SGD, ADAM, AdaDelta, etc. Finally, when given a data set, the optimization approach is guided by the scores returned by the function to build a non-redundant subset. \n", "\n", "Apricot implements a variety of submodular functions and optimization approaches. These functions include set cover, facility location, feature based, entropy, and graph cut. The optimizations include both greedy algorithms such as naive and lazy greedy as well as approximations of the greedy algorithm such as approximate lazy, stochastic, and GreeDi." ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "%matplotlib inline\n", "import matplotlib.pyplot as plt\n", "\n", "import numpy\n", "numpy.random.seed(0)\n", "\n", "import seaborn; seaborn.set_style('whitegrid')\n", "from tqdm.notebook import tqdm" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Max (Set) Coverage\n", "\n", "The maximum coverage problem refers to the selection of $k$ elements that are each described by a set of numbers such that the union of these sets has the maximal size. Phrased differently, when applied to binary data, the maximum coverage problem refers to the selection of $k$ elements such that the most columns have at least one element with a non-zero value. Formally, this problem is \n", "\n", "\\begin{equation}\n", "f(X) = \\sum\\limits_{i=1}^{d} \\left(\\left( \\sum\\limits_{x \\in X} x_{i} \\right) > 0 \\right)\n", "\\end{equation}\n", "where $f$ denotes the maximum coverage function, $X$ is the set of selected examples and $d$ is the number of dimensions in the data. \n", "\n", "Let's take a look at an example of optimizing this function over the Reuters data set; a collection of ~11k articles where each example contains the set of indices of words in the article. We preprocess the data to be a binary matrix of size ~11k by 5k, where the 5k dimensions correspond to the presence of the top 5k words by count. " ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Using Theano backend.\n" ] } ], "source": [ "from apricot import MaxCoverageSelection\n", "from keras.datasets import reuters\n", "\n", "(X_, _), (_, _) = reuters.load_data(num_words=5000)\n", "X = numpy.zeros((X_.shape[0], max(map(max, X_))+1))\n", "for i, x in enumerate(X_):\n", " X[i][x] = 1" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can visualize the first 250 examples from this data as a heatmap where the presence of words in the example is denoted by a green dot. Additionally, we can count the number of unique words that occur in the top randomly selected examples." ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(16, 5))\n", "plt.subplot(121)\n", "plt.imshow(X[:250], aspect='auto', cmap='Greens')\n", "plt.xlabel(\"Word Seen\", fontsize=14)\n", "plt.ylabel(\"Article\", fontsize=14)\n", "plt.ylim(0, 250)\n", "plt.grid(False)\n", "\n", "plt.subplot(122)\n", "plt.plot((numpy.cumsum(X[:250], axis=0) > 0).sum(axis=1))\n", "plt.xlabel(\"Examples Selected\", fontsize=12)\n", "plt.ylabel(\"Unique Words Seen\", fontsize=12)\n", "plt.xlim(0, 250)\n", "plt.ylim(0, 5000)\n", "\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "As expected, the heatmap is overall fairly sparse because most words do not occur in most articles. Randomly selecting articles seems to provide a steady increase in the number of unique words in the selected set that diminishes as more articles are added. However, even after 250 articles, there are still over 1500 words that have never been seen.\n", "\n", "Now, let's run a max coverage selector to identify examples using submodular optimization that maximize the number of unique words seen between them." ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "model = MaxCoverageSelection(250, optimizer='naive')\n", "X_hat = model.fit_transform(X)" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(16, 5))\n", "plt.subplot(121)\n", "plt.imshow(X_hat, aspect='auto', cmap='Greens')\n", "plt.xlabel(\"Word Seen\", fontsize=14)\n", "plt.ylabel(\"Article\", fontsize=14)\n", "plt.ylim(0, 250)\n", "plt.grid(False)\n", "\n", "plt.subplot(122)\n", "plt.plot((numpy.cumsum(X[:250], axis=0) > 0).sum(axis=1), label=\"Random\")\n", "plt.plot((numpy.cumsum(X_hat, axis=0) > 0).sum(axis=1), label=\"Max Coverage\")\n", "plt.xlabel(\"Examples Selected\", fontsize=12)\n", "plt.ylabel(\"Unique Words Seen\", fontsize=12)\n", "plt.xlim(0, 250)\n", "plt.ylim(0, 5000)\n", "plt.legend(fontsize=12)\n", "\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": { "collapsed": true }, "source": [ "### Facility Location" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Facility location is one of the most canonical of submodular functions. This function, which operates on pairwise similarities between elements, evaluates a proposed subset of elements (exemplars) based on the maximum similarity (or minimum distance) between each element and its nearest exemplar. More formally, the function can be written as\n", "\n", "\\begin{equation}\n", "f(X, V) = \\sum\\limits_{v \\in V} \\max\\limits_{x \\in X} \\phi(x, v)\n", "\\end{equation}\n", "where $f$ denotes the facility location function, $X$ is the set of exemplars, $V$ is the set of all elements (called the ground set) and $\\phi$ is a non-negative measurement of similarity, such as squared correlation.\n", "\n", "The name \"facility location\" comes from the problem that companies face of identifying where to, quite literally, put their next facilities. The problem is difficult because new facilities should naturally be located in places that are underserved (i.e. have high distance to their nearest exemplar) but old facilities usually cannot be moved, making traditional clustering approaches infeasible. The greedy optimization process used for submodular functions is a perfect algorithmic candidate for placing new facilities.\n", "\n", "Let's see an example of facility location at work. We will generate 6 cluters of points, each with a different number of examples, and then select a subset of size 6 by optimizing a facility location function." ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from apricot import FacilityLocationSelection\n", "\n", "numpy.random.seed(0)\n", "X = numpy.concatenate([numpy.random.normal((1, 1), 0.5, size=(15, 2)),\n", " numpy.random.normal((6, 3), 0.5, size=(25, 2)),\n", " numpy.random.normal((5, 7), 0.5, size=(40, 2)),\n", " numpy.random.normal((1, 7), 0.5, size=(30, 2)),\n", " numpy.random.normal((10, 4), 0.5, size=(15, 2)),\n", " numpy.random.normal((3, 4), 0.5, size=(15, 2))])\n", "\n", "Xi = FacilityLocationSelection(6, 'euclidean').fit_transform(X)\n", "Xr = numpy.random.choice(numpy.arange(X.shape[0]), size=6)\n", "Xr = X[Xr]\n", "\n", "plt.figure(figsize=(8, 6))\n", "plt.title(\"Facility location for exemplar identification\", fontsize=16)\n", "plt.scatter(X[:,0], X[:,1], s=10)\n", "plt.scatter(Xi[:,0], Xi[:,1], color=\"#FF6600\", label=\"Submodular Selection\")\n", "plt.scatter(Xr[:,0], Xr[:,1], color=\"#8A2BE2\", label=\"Random Selection\", alpha=0.6)\n", "plt.legend(fontsize=14, loc=1)\n", "plt.xlim(-1, 14)\n", "plt.axis('off')\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In this example an example of selecting representative points from six clusters using either a facility location function or random selection. You can see immediately that the points are more representative of the total space than a feature based function would be. A random selection of points is unlikely to sample each of the clusters only once, and this skew worsens with the skew of samples per cluster, whereas a facility location function is more stable towards that. An animation of the selection process can give some insight into how it works.\n", "\n", "\n", "\n", "The first selected sample is at a central location because it is representative of the full data set. In the context where facility location is actually selection store locations, this would be the optimal location to put a single store to service everyone. The second location is in the largest cluster of points but skewed towards the second largest cluster of points. At this point something interesting happens: the next selected samples seem to be central to the cluster they're selected in. The third location is at a central location in a cluster of samples that is furthest from the selected items, and thus least served. The next three points are also at the center of their respective clusters. Essentially, once the space is sparsely covered then the next selected sample can focus on serving a local neighborhood.\n", "\n", "Facility location can be thought of as a greedy version of k-means clustering. K-means is an iterative procedure that would've resulted in the centroids lying at the center of each of the clusters above. However, it would be significantly more time intensive to calculate these. Correspondingly, facility location functions can be a good approximation of k-means clustering, and sometimes are even used as an initialization to the k-means algorithm.\n", "\n", "#### Digits Data Set\n", "\n", "We can use facility location for sample selection for machine learning algorithms as well. In fact, it works better than feature based methods in cases where the features do not have the nice properties seen before. Let's load up the digits data set. A feature based function would try to select samples that had a diversity of high pixel values. That's not exactly what we want because the digit can exist in several places in the image with different sizes and thicknesses." ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "((1250, 64), (547, 64))" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from sklearn.datasets import load_digits\n", "\n", "data = load_digits()\n", "X, y = data.data, data.target \n", "\n", "idx = numpy.arange(X.shape[0])\n", "numpy.random.shuffle(idx)\n", "\n", "X, y = X[idx], y[idx]\n", "X_train, y_train = X[:1250], y[:1250]\n", "X_test, y_test = X[1250:], y[1250:]\n", "X_train.shape, X_test.shape" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's take 1,250 samples for the training set and 547 samples for the test set. We can try using a facility location function on the data that calculates the euclidean distance between samples and compare that both to random selection and to using a feature based selection algorithm. " ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 1.25k/1.25k [00:01<00:00, 951it/s] \n", "100%|██████████| 1.25k/1.25k [00:05<00:00, 213it/s]\n" ] } ], "source": [ "from apricot import FeatureBasedSelection\n", "\n", "selector = FacilityLocationSelection(X_train.shape[0], 'euclidean', verbose=True)\n", "selector.fit(X_train)\n", "r1 = selector.ranking\n", "\n", "selector2 = FeatureBasedSelection(X_train.shape[0], verbose=True)\n", "selector2.fit(X_train)\n", "r2 = selector2.ranking" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now let's try training logistic regression models like before in these settings." ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "258fd9c9d1284d03b300abf5e705dfa4", "version_major": 2, "version_minor": 0 }, "text/plain": [ "HBox(children=(FloatProgress(value=0.0, max=20.0), HTML(value='')))" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "\n" ] } ], "source": [ "from sklearn.linear_model import LogisticRegression\n", "\n", "numpy.random.seed(0)\n", "random_idxs = []\n", "for i in range(20):\n", " idxs = numpy.arange(X_train.shape[0])\n", " numpy.random.shuffle(idxs)\n", " random_idxs.append(idxs)\n", "\n", "fl_acc, fb_acc, random_acc = [], [], []\n", "n_samples = list(range(25, 251, 25)) + list(range(300, 1251, 100))\n", "\n", "for n in tqdm(n_samples):\n", " Xi, yi = selector.transform(X_train, y_train)\n", " model = LogisticRegression(solver='saga', max_iter=10000).fit(Xi[:n], yi[:n])\n", " fl_acc.append(model.score(X_test, y_test))\n", " \n", " Xi, yi = selector2.transform(X_train, y_train)\n", " model = LogisticRegression(solver='saga', max_iter=10000).fit(Xi[:n], yi[:n])\n", " fb_acc.append(model.score(X_test, y_test))\n", "\n", " accs = []\n", " for i in range(20):\n", " idx = random_idxs[i][:n]\n", " Xi, yi = X_train[idx], y_train[idx]\n", "\n", " model = LogisticRegression(solver='saga', max_iter=10000).fit(Xi, yi)\n", " accs.append(model.score(X_test, y_test))\n", " \n", " random_acc.append(accs)\n", "\n", "random_acc = numpy.array(random_acc)" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.title(\"MNIST Performance using Facility Location\", fontsize=14)\n", "plt.scatter(n_samples, fl_acc, c='b', label=\"Facility Location\")\n", "plt.scatter(n_samples, fb_acc, c='g', label=\"Feature Based\")\n", "plt.scatter(n_samples, random_acc.mean(axis=1), color='m', label=\"Random Selection\")\n", "\n", "plt.plot(n_samples, fl_acc, c='b')\n", "plt.plot(n_samples, fb_acc, c='g')\n", "plt.plot(n_samples, random_acc.mean(axis=1), color='m')\n", "plt.plot(n_samples, random_acc.min(axis=1), alpha=0.3, color='m')\n", "plt.plot(n_samples, random_acc.max(axis=1), alpha=0.3, color='m')\n", "\n", "plt.fill_between(n_samples, random_acc.min(axis=1), random_acc.max(axis=1), color='m', alpha=0.2)\n", "plt.xlabel(\"Number of Selected Points\", fontsize=14)\n", "plt.ylabel(\"Accuracy\", fontsize=14)\n", "plt.legend(fontsize=12)\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "It looks like the facility location function outperforms both the feature based function and the random selection. Similar to the case of the feature based function before the model performance appears to saturate with just a small percentage of the samples. In fact, the feature based function performs worse than the random selection. This is not surprising in the case where optimizing a diversity of features irrespective of the structure of the features may not be the best idea." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Feature Based Submodularity" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "A problem with some submodular functions is that they do not scale well across massive data sets. For example, the facility location function first involves calculating some pairwise information across the data set, and second involves recalculating this pairwise measurement each time a sample is potentially added to the growing set. While optimizations exist that can greatly speed this up when compared to a naive implementation, it still can be prohibitively slow in some cases.\n", "\n", "A different type of submodular function, called a \"feature based\" function, does not involve calculating pairwise information and is much more scalable to large data sets. These functions involve calculating how \"saturated\" a particular feature is and preferentially selecting samples that have large feature values that have not yet been seen. These function takes the following form:\n", "\n", "\\begin{equation}\n", "f(X) = \\sum\\limits_{u \\in U} w_{u} \\phi_{u} \\left( \\sum\\limits_{x \\in X} m_{u}(x) \\right)\n", "\\end{equation}\n", "\n", "In this equation, $U$ refers to all features, or dimensions, of a sample, and $u$ refers to a specific feature. $X$ refers to the original data set that we are selecting from and $x$ refers to a single sample from that data set. $w$ is a vector of weights that indicate how important each feature is, with $w_{u}$ being a scalar referring to how important feature $u$ is. Frequently these weights are uniform. $\\phi$ refers to a set of saturating functions, such as $sqrt(X)$ or $log(X + 1)$ that take some \n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Feature based functions perform best when the value of each feature corresponds roughly to some notion of how important it is rather than being an arbitrary value. For example, when considering audio data, a spike in noise indicates that something is happening in an otherwise silent background, and when considering financial portfolios the more money a person has in a stock or fund, the more important that fund is for them. Examples of features where feature based functions are not likely to work well on are those without this notion, including categorical variables such as car color or bimodally distributed variables.\n", "\n", "The reason that feature based funtions don't perform well when thre is no notion of importance can easily be visualized by looking at two Gaussian blobs. One might expect that a good summarization function would select a similar number of points from each blob, perhaps near the boundary between the two. Let's see what a feature based function does." ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from apricot import FeatureBasedSelection\n", "\n", "X = numpy.concatenate([numpy.random.normal(5, 1, size=(50, 2)), numpy.random.normal(9, 1, size=(35, 2))])\n", "Xi = FeatureBasedSelection(10).fit_transform(X)\n", "\n", "plt.figure(figsize=(8, 6))\n", "plt.title(\"Submodular selection on Gaussian blobs\", fontsize=16)\n", "plt.scatter(X[:,0], X[:,1])\n", "plt.scatter(Xi[:,0], Xi[:,1], label=\"Selected Samples\")\n", "plt.legend(fontsize=14)\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The feature based selection chooses those samples with the highest absolute magnitude. This is not surprising because the function is trying to maximize the sum of the saturated values over each feature. You can maximize this value by always selecting the biggest values.\n", "\n", "#### 20 newsgroups Data Set\n", "\n", "The setting in which feature based functions perform the best is when the value of the feature corresponds to a quantity or a significance, where a higher value of that feature corresponds to having a large amount of that feature. A natural example of this is using word counts or tf-idf to represent sentences where each feature is a word. Let's see that in action here with an example from the 20newsgroups data set." ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "((1187, 1000), (790, 1000))" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from sklearn.datasets import fetch_20newsgroups\n", "from sklearn.feature_extraction.text import TfidfVectorizer\n", "\n", "cats = ('sci.med', 'sci.space')\n", "stop = ('headers', 'footers', 'quotes')\n", "\n", "train_data = fetch_20newsgroups(subset='train', categories=cats, remove=stop)\n", "test_data = fetch_20newsgroups(subset='test', categories=cats, remove=stop)\n", "\n", "X_train, y_train = train_data.data, train_data.target\n", "X_test, y_test = test_data.data, test_data.target\n", "\n", "vectorizer = TfidfVectorizer(stop_words='english', max_features=1000)\n", "\n", "X_train = vectorizer.fit_transform(X_train).toarray()\n", "X_test = vectorizer.transform(X_test).toarray()\n", "\n", "X_train.shape, X_test.shape" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We've downloading 1,187 samples for our training set and 790 for our test set. This is just a toy example and so training on the entire training set is feasible, but let's see how good models trained using small subsets can perform when using random selection versus using a feature based function. We'll also perform our random selection 20 times, showing the best, worst, and average performance across the 20 times." ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "0bd66a8df0f442139618c9d29ef1102d", "version_major": 2, "version_minor": 0 }, "text/plain": [ "HBox(children=(FloatProgress(value=0.0, max=18.0), HTML(value='')))" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "\n" ] } ], "source": [ "from sklearn.linear_model import LogisticRegressionCV\n", "\n", "submodular_accuracy, random_accuracy = [], []\n", "\n", "selection = FeatureBasedSelection(1000)\n", "selection.fit(X_train)\n", "\n", "numpy.random.seed(0)\n", "random_idxs = []\n", "for i in range(20):\n", " idxs = numpy.arange(X_train.shape[0])\n", " numpy.random.shuffle(idxs)\n", " random_idxs.append(idxs)\n", "\n", "x = [20, 30, 40, 50, 60, 70, 80, 90, 100, 200, 300, 400, 500, 600, 700, 800, 900, 1000]\n", " \n", "for n in tqdm(x):\n", " Xi, yi = selection.transform(X_train, y_train)\n", " Xi, yi = Xi[:n], yi[:n]\n", "\n", " model = LogisticRegressionCV(max_iter=1000).fit(Xi, yi)\n", " submodular_accuracy.append(model.score(X_test, y_test))\n", "\n", " accs = []\n", " for i in range(20):\n", " idx = random_idxs[i][:n]\n", " Xi, yi = X_train[idx], y_train[idx]\n", "\n", " model = LogisticRegressionCV(max_iter=1000).fit(Xi, yi)\n", " accs.append(model.score(X_test, y_test))\n", " \n", " random_accuracy.append(accs)\n", "\n", "random_accuracy = numpy.array(random_accuracy)" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.title(\"20 newsgroups space vs medicine articles\", fontsize=14)\n", "plt.scatter(x, submodular_accuracy, label=\"Feature Based Selection\")\n", "plt.scatter(x, random_accuracy.mean(axis=1), color='m', label=\"Random Selection\")\n", "\n", "plt.plot(x, submodular_accuracy)\n", "plt.plot(x, random_accuracy.mean(axis=1), color='m')\n", "plt.plot(x, random_accuracy.min(axis=1), alpha=0.3, color='m')\n", "plt.plot(x, random_accuracy.max(axis=1), alpha=0.3, color='m')\n", "\n", "plt.fill_between(x, random_accuracy.min(axis=1), random_accuracy.max(axis=1), color='m', alpha=0.2)\n", "plt.xlabel(\"Samples Used\", fontsize=14)\n", "plt.ylabel(\"Accuracy\", fontsize=14)\n", "plt.legend(fontsize=12)\n", "plt.xlim(0, 1050)\n", "plt.savefig(\"img/20newsgroups.png\")\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "It looks like submodular selection through a feature based method distinctly outperforms using random selection for a small number of samples. Using only 100 samples selected using submodular selection one can achieve high accuracy. " ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.4" } }, "nbformat": 4, "nbformat_minor": 2 } jmschrei-apricot-bf86e69/tutorials/2. Introduction to Submodular Optimization.ipynb000066400000000000000000004342171414554015600305520ustar00rootroot00000000000000{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "## 2. Introduction to Submodular Optimization\n", "\n", "So far we've focused on looking at submodular functions in action, primarily in the context of identifying a good selection of samples for the purpose of training machine learning models. While we have covered at a high level how submodular selection works, in this tutorial we will focus on the math and mechanics behind submodular selection.\n", "\n", "As mentioned before, submodular selection is a process of greedily selecting objects from a large set of objects in such a manner that a submodular function is maximized. This general definition allows submodular selection to be applied in a wide variety of areas. In our context we'll be focusing on the selection of samples for data analysis or machine learning purpose and using terminology common to that field.\n", "\n", "The equation for a feature based function is below.\n", "\n", "\\begin{equation}\n", "f(X) = \\sum\\limits_{u \\in U} w_{u} \\phi_{u} \\left( \\sum\\limits_{x \\in X} m_{u}(x) \\right)\n", "\\end{equation}\n", "\n", "In this equation, $U$ refers to all features in a sample, and $u$ refers to a specific feature. $X$ refers to the original data set that we are selecting from and $x$ refers to a single sample from that data set. $w$ is a vector of weights that indicate how important each feature is, with $w_{u}$ being a scalar referring to how important feature $u$ is. Frequently these weights are uniform. $\\phi$ refers to a set of saturating functions, such as $sqrt(X)$ or $log(X + 1)$ that incude a property of \"diminishing returns\" on the feature values. These diminishing returns will become very important later.\n", "\n", "When we maximize a submodular function, our goal is to, for each iteration, select the sample that yields the largest gain when added to the growing subset. This gain is dependant on the items that are already in the subset due to the saturating function. Let's talk through an example of selecting the best subset." ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Populating the interactive namespace from numpy and matplotlib\n" ] } ], "source": [ "%pylab inline\n", "import seaborn; seaborn.set_style('whitegrid')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's generate a two dimensional data set for the purposes of vissualization, where some samples are high in one of the features and some samples are high in the other feature. We do this purposefully so as to illustrate the effect that selection has on the marginal gain of each sample during the selection process." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "data": { "image/png": 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CtsDcwiiuXASFiIjcAxO0BU1VZhMRETkKE7QFrMwmIiJXUHyRmBiXoGRlNhER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\nalFeXq6oof7GNHx9iouLFTXEb8kPP/y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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "numpy.random.seed(3)\n", "X = numpy.concatenate([numpy.random.normal([0.5, 0.1], [0.3, 0.05], size=(50, 2)),\n", " numpy.random.normal([0.1, 0.5], [0.05, 0.4], size=(50, 2))])\n", "X = numpy.abs(X)\n", "\n", "plt.figure(figsize=(8, 6))\n", "plt.title(\"Randomly generated data\", fontsize=16)\n", "plt.scatter(X[:,0], X[:,1], s=20)\n", "plt.xlim(0, 1.4)\n", "plt.ylim(0, 1.4)\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now let's implement a function that calculates the gain of each sample with respect to some growing subset. Since we are using a feature based function, the gain requires summing column-wise down each sample in the growing set and then applying the saturating function in order to squash it. We can speed this up significantly by pre-computing the column-wise sums of the current selected set, so that we only need to add in the new sample to be considered." ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "collapsed": true }, "outputs": [], "source": [ "def gains(X, z=None):\n", " concave_sums = numpy.sum(z, axis=0) if z is not None else numpy.zeros(X.shape[1])\n", " concave_func = numpy.log(concave_sums + 1)\n", " gains = []\n", " \n", " for x in X:\n", " gain = numpy.sum(numpy.log(concave_sums + x + 1) - concave_func).sum()\n", " gains.append(gain)\n", " \n", " return gains" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can now use this function in order to calculate the gain of each of the samples in our set if we were to use it as the first sample in our subset." ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "image/png": 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PnsWDDz6I2tpaSJKEBx54AJmZma0pmoiIyCVJkrBixQqsW7cOBoMBs2fPRlZW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\nLFqoEqRQKBTKouU/AQRDolhttUskAAAAAElFTkSuQmCC\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "gain1 = gains(X)\n", "\n", "plt.figure(figsize=(8, 6))\n", "plt.title(\"Gain if adding this item\", fontsize=16)\n", "plt.scatter(X[:,0], X[:,1], c=gain1, cmap='Purples')\n", "plt.colorbar()\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We see a clear trend that the samples with high values in either of the two dimensions have high gains, whereas those samples with small values in each dimension have small gains. Given the simplicity of the feature-based selection algorithm this makes sense---high feature values correspond to higher gains. \n", "\n", "What happens if we select the sample with the highest gain and then recalculate gains?" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "image/png": 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9OlFRUQDExsZ6DFOSoBBCCK/zcg6kqKiIpKQkx/PExESKioqc9snPz+fQoUNM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\n3eCFmwA0Fkm1GCAIXEjrOI4nMCm0Y2OMfcbMKKVw0lIjSV1VI/vL7XY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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "idx = numpy.argmax(gain1)\n", "z = [X[idx]]\n", "\n", "gain2 = gains(X, z)\n", "\n", "plt.figure(figsize=(8, 6))\n", "plt.title(\"Gain if adding this item\", fontsize=16)\n", "plt.scatter(X[:,0], X[:,1], c=gain2, cmap='Purples')\n", "plt.colorbar()\n", "\n", "plt.scatter(X[idx, 0], X[idx, 1], c='c', s=75, label=\"First Selected Sample\")\n", "plt.legend(fontsize=14)\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "It looks like we select a sample that has the highest magnitude single feature value. While the saturating function will flatten values as the set gets larger, with small feature values and no samples in the subset yet, the raw feature value is roughly the gain. \n", "\n", "Interestingly, it looks like all of the samples that have higher values for the y-axis now have a diminished marginal gain. The highest gain samples now look like they come from those with high x-axis values. " ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "image/png": 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mcX3Q6bV88uaPFBdVEN41gLtnDCNxRPe2Dk0IIToUxcWbXm6VHAFG3BYrUzeE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\nAHn45IEAc5YmN22GEIKX589HRU0N+qN08TZzHH45b172BuM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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "idx = numpy.argmax(gain2)\n", "z += [X[idx]]\n", "\n", "\n", "gain3 = gains(X, z)\n", "\n", "plt.figure(figsize=(8, 6))\n", "plt.title(\"Gain if adding this item\", fontsize=16)\n", "plt.scatter(X[:,0], X[:,1], c=gain3, cmap='Purples')\n", "plt.colorbar()\n", "\n", "plt.scatter(X[idx, 0], X[idx, 1], c='c', s=75, label=\"Highest Gain\")\n", "plt.legend(fontsize=14)\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "To complete the selection process, we would greedily select samples from the full set until the desired number of samples have been reached. This requires scanning over the full set (minus the samples that have been selected) one full time for each samle that we would like to select, coting $nm$ time where $n$ is the number of samples in the full set and $m$ is the number of samples that onne would like to select. Because sometimes our goal is to induce a ranking over the full set, i.e., dtermine the order of selection for each sample, this becomes quadratic time.\n", "\n", "Is it possible to do better than than this? The short answer is yes, and the reason lies in non-negativity constraint on the input data and on the saturating function. " ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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xygain 1gain 2gain 3
01.0365890.1218250.8262330.7200470.446619
10.5289490.0068250.4313830.3981330.224836
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" ], "text/plain": [ " x y gain 1 gain 2 gain 3\n", "0 1.036589 0.121825 0.826233 0.720047 0.446619\n", "1 0.528949 0.006825 0.431383 0.398133 0.224836\n", "2 0.416784 0.082262 0.427443 0.359090 0.212751\n", "3 0.475178 0.068650 0.455174 0.391253 0.229906\n", "4 0.486855 0.076139 0.470043 0.401884 0.237428" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import pandas\n", "\n", "gain_table = pandas.DataFrame({\"x\" : X[:,0], \"y\" : X[:,1], \"gain 1\": gain1, \"gain 2\": gain2, \"gain 3\": gain3})\n", "gain_table[['x', 'y', 'gain 1', 'gain 2', 'gain 3']].head()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can exploit the property of diminishing returns to devise a better algorithm for selection known as the \"lazy greedy\" algorithm. This algorithm relies on the property that each time a sample is added to the growing set, the gains of each other sample diminish.\n", "\n", "The algorithm works faily simply. First, a priority queue is built consisting of the samples prioritized by their gain, with the sample with the highest gain at the front. That sample is then selected for addition to the growing subset. After this selection, the gain values for each sample will be different. However, due to this monotonic decrease in gain, should the sample that was second in line at the time of selection remain at the front of the queue after that first element was selected and the sample was r-evaluated, it would be at the front of the queue even if all items were evaluated. It can be selected without needing to re-evaluate all other samples." ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.4" } }, "nbformat": 4, "nbformat_minor": 2 } jmschrei-apricot-bf86e69/tutorials/3. Model-Based Selection.ipynb000066400000000000000000012121171414554015600246760ustar00rootroot00000000000000{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "## Model Based Submodular Selection\n", "Author: Jacob Schreiber \n", "\n", "\n", "Submodular selection is the task of identifying a representative subset of samples from a large set, and apricot focuses on the use of these algorithms to identify a good subset of data that can be used for the purpose of training machine learning models. However, submodular functions can also be coupled with a trained machine learning model and a feature attribution algorithm in order to identify the subset of features that the machine learning model thinks are the most important for training. \n", "\n", "In order to understand how this works, let's review the feature based submodular algorithm that's implemented in apricot. These functions greedily add samples to the growing subset that utilize a diversity of features. The equation that the feature based functions optimize is as follows:\n", "\n", "\\begin{equation}\n", "f(X) = \\sum\\limits_{u \\in U} w_{u} \\phi_{u} \\left( \\sum\\limits_{x \\in X} m_{u}(x_{u}) \\right)\n", "\\end{equation}\n", "\n", "In this equation, $U$ is the set of features, or dimensions, of a sample, and $u$ refers to a specific feature. $X$ refers to the original data set that we are selecting from and $x$ refers to a single sample from that data set. $w$ is a vector of weights that indicate how important each feature is, with $w_{u}$ being a scalar referring to how important feature $u$ is. Frequently these weights are uniform. $\\phi$ refers to a set of saturating functions, such as $sqrt(X)$ or $log(X + 1)$, that have diminishing returns the larger X gets. \n", "\n", "The default implementation in apricot for $m_{u}$ is the identify function $m_{u}(x_{u}) = x_{u}$, meaning that a sample will have the most gain when it has a high feature value in a feature that is not well represented with high values in the already included samples. What if, instead of using the raw feature value, we used the feature ~attribution~ as determined by some attribution algorithm? This would give us a subset of samples that gave a diversity of importanes. " ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Populating the interactive namespace from numpy and matplotlib\n" ] } ], "source": [ "%pylab inline\n", "import seaborn; seaborn.set_style('whitegrid')\n", "import shap\n", "\n", "from sklearn.linear_model import LogisticRegression\n", "from shap import LinearExplainer\n", "from apricot import FeatureBasedSelection" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's start off with creating two clusters of data and seeing what happens when we use a feature based function off of them natively." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "X = numpy.concatenate([numpy.random.normal((7, 8), 1, size=(100, 2)), \n", " numpy.random.normal((10, 5), 1, size=(100, 2))])\n", "\n", "y = numpy.concatenate([numpy.zeros(100), numpy.ones(100)])\n", "\n", "Xi, yi = FeatureBasedSelection(20).fit_transform(X, y)" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(8, 6))\n", "plt.title(\"Submodular selection on Gaussian blobs\", fontsize=16)\n", "plt.scatter(X[:100, 0], X[:100, 1], marker='+', label='Negative Class')\n", "plt.scatter(X[100:, 0], X[100:, 1], marker='+', label='Positive Class')\n", "plt.scatter(Xi[yi == 0, 0], Xi[yi == 0, 1], label='Selected Negative Samples')\n", "plt.scatter(Xi[yi == 1, 0], Xi[yi == 1, 1], label=\"Selected Positive Samples\")\n", "\n", "plt.legend(fontsize=14, loc=(1, 0.3))\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "That's unfortunate. It looks like the selected samples are just those with the highest feature values. This is not entirely true due to the non-linearity that's applied during selection, but an approximation is that as you run a diagonal line with slope y = -x down from the top right corner of the plot, it selected the first 20 points that it hits. This is a downside of using a feature based function natively.\n", "\n", "Well, our goal here was not to select on the feature naively, but rather to identify features that a trained machine learning model thought were important. However, this term \"important\" can have two meanings. It can be the samples that are the most obvious samples from one or another class, perhaps the most representative, or it can be those that are on the boundary. Let's look at the first case first. In order to calculate feature importances we will use the package shap.\n", "\n", "The first thing to do is to train our model. In our case let's train a logistic regression model." ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "model = LogisticRegression().fit(X, y)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now we need to gt the attributions. These values sum up to the final prediction and atribute to each feature the importance of that measurement." ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "X_shap = LinearExplainer(model, X).shap_values(X)\n", "\n", "plt.figure(figsize=(12, 4))\n", "plt.subplot(121)\n", "plt.title(\"Original Data\", fontsize=14)\n", "plt.scatter(X[y == 0, 0], X[y == 0, 1], s=10)\n", "plt.scatter(X[y == 1, 0], X[y == 1, 1], s=10)\n", "\n", "plt.subplot(122)\n", "plt.title(\"Attributions\", fontsize=14)\n", "plt.scatter(X_shap[y == 0, 0], X_shap[y == 0, 1], s=10)\n", "plt.scatter(X_shap[y == 1, 0], X_shap[y == 1, 1], s=10)\n", "plt.xlabel(\"x-axis attribution\", fontsize=14)\n", "plt.ylabel(\"y-axis attribution\", fontsize=14)\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Unfortunately these values correspond to the log odds and so can be negative when they are predicting the negative class. We can correct for this by taking the absolute value of the attribution. That will ensure that the values are entirely positive and that the higher in magnitude they are, the most important that feature was for the prediction." ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "X_shap = numpy.abs(X_shap)\n", "\n", "plt.scatter(X_shap[y == 0, 0], X_shap[y == 0, 1], s=10, label=\"Negative Samples\")\n", "plt.scatter(X_shap[y == 1, 0], X_shap[y == 1, 1], s=10, label=\"Positive Samples\")\n", "plt.xlabel(\"|x-axis attribution|\", fontsize=14)\n", "plt.ylabel(\"|y-axis attribution|\", fontsize=14)\n", "plt.legend(fontsize=14, loc=(1.01, 0.4))\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In this absolute attribution space we will still be selecting values as if you were running a line with slope y = -x down from the top of the plot, but these transformed values should be more amenable to that selection in that manner. Now, let's select the 20 most important samples according to the model. We can compare this to the samples that the model is most confident in, as ranked by maximum predicted probability." ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "Xi1, yi1 = FeatureBasedSelection(20).fit_transform(X, y)\n", "\n", "selector = FeatureBasedSelection(20)\n", "selector.fit_transform(X_shap)\n", "Xi2 = X[selector.ranking]\n", "yi2 = y[selector.ranking]\n", "\n", "y_pred = model.predict_proba(X).max(axis=1)\n", "idx = numpy.argsort(y_pred)[::-1][:20]\n", "Xi3 = X[idx]\n", "yi3 = y[idx]\n", "\n", "plt.figure(figsize=(14, 4))\n", "plt.subplot(131)\n", "plt.title(\"Selection in the original space\", fontsize=16)\n", "plt.scatter(X[y == 0, 0], X[y == 0, 1], s=10, label=\"Negative Samples\")\n", "plt.scatter(X[y == 1, 0], X[y == 1, 1], s=10, label=\"Positive Samples\")\n", "plt.scatter(Xi1[yi1 == 0, 0], Xi1[yi1 == 0, 1], s=20, label=\"Negative Selected Samples\")\n", "plt.scatter(Xi1[yi1 == 1, 0], Xi1[yi1 == 1, 1], s=20, label=\"Positive Selected Samples\")\n", "\n", "plt.subplot(132)\n", "plt.title(\"Selection in the transformed space\", fontsize=16)\n", "plt.scatter(X[y == 0, 0], X[y == 0, 1], s=10, label=\"Negative Samples\")\n", "plt.scatter(X[y == 1, 0], X[y == 1, 1], s=10, label=\"Positive Samples\")\n", "plt.scatter(Xi2[yi2 == 0, 0], Xi2[yi2 == 0, 1], s=20, label=\"Negative Selected Samples\")\n", "plt.scatter(Xi2[yi2 == 1, 0], Xi2[yi2 == 1, 1], s=20, label=\"Positive Selected Samples\")\n", "\n", "plt.subplot(133)\n", "plt.title(\"Selection in the transformed space\", fontsize=16)\n", "plt.scatter(X[y == 0, 0], X[y == 0, 1], s=10, label=\"Negative Samples\")\n", "plt.scatter(X[y == 1, 0], X[y == 1, 1], s=10, label=\"Positive Samples\")\n", "plt.scatter(Xi3[yi3 == 0, 0], Xi3[yi3 == 0, 1], s=20, label=\"Negative Selected Samples\")\n", "plt.scatter(Xi3[yi3 == 1, 0], Xi3[yi3 == 1, 1], s=20, label=\"Positive Selected Samples\")\n", "plt.legend(fontsize=14, loc=(1, 0.5))\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "It certainly looks like using the absolute attributions in this manner is yielding samples that are more representative of the most confident samples. However, it's unclear what the differences between using attributions versus using the model predictions alone correspond to, and whether one is better than the other in this simple case.\n", "\n", "Another way that one might want to select samples is based on the *least confident samples*, i.e., identifying those samples that lie near the decision boundary. This can be particularly useful for the identification of samples that a model would be uncertain about. We can use a similar procedure, but after taking the absolute value of the attribution values, we multiply all attributions for a sample by the *minimum predicted class probability*. This has the effect of reducing values for samples where the model is very confident, while preserving values when the model is uncertain. The submodular selection algorithm will then preferentially select samples that have a diversity of features being relevant for the prediction, but only for uncertain samples." ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "X_shap = LinearExplainer(model, X).shap_values(X)\n", "X_shap = (numpy.abs(X_shap).T * model.predict_proba(X).min(axis=1)).T\n", "\n", "Xi1, yi1 = FeatureBasedSelection(20).fit_transform(X, y)\n", "\n", "selector = FeatureBasedSelection(20)\n", "selector.fit_transform(X_shap)\n", "Xi2 = X[selector.ranking]\n", "yi2 = y[selector.ranking]\n", "\n", "y_pred = model.predict_proba(X).min(axis=1)\n", "idx = numpy.argsort(y_pred)[::-1][:20]\n", "Xi3 = X[idx]\n", "yi3 = y[idx]\n", "\n", "plt.figure(figsize=(14, 4))\n", "plt.subplot(131)\n", "plt.title(\"Selection on feature values\", fontsize=14)\n", "plt.scatter(X[y == 0, 0], X[y == 0, 1], s=10, label=\"Negative Samples\")\n", "plt.scatter(X[y == 1, 0], X[y == 1, 1], s=10, label=\"Positive Samples\")\n", "plt.scatter(Xi1[yi1 == 0, 0], Xi1[yi1 == 0, 1], s=20, label=\"Negative Selected Samples\")\n", "plt.scatter(Xi1[yi1 == 1, 0], Xi1[yi1 == 1, 1], s=20, label=\"Positive Selected Samples\")\n", "\n", "plt.subplot(132)\n", "plt.title(\"Selection on feature attributions\", fontsize=14)\n", "plt.scatter(X[y == 0, 0], X[y == 0, 1], s=10, label=\"Negative Samples\")\n", "plt.scatter(X[y == 1, 0], X[y == 1, 1], s=10, label=\"Positive Samples\")\n", "plt.scatter(Xi2[yi2 == 0, 0], Xi2[yi2 == 0, 1], s=20, label=\"Negative Selected Samples\")\n", "plt.scatter(Xi2[yi2 == 1, 0], Xi2[yi2 == 1, 1], s=20, label=\"Positive Selected Samples\")\n", "\n", "plt.subplot(133)\n", "plt.title(\"Least confident samples\", fontsize=16)\n", "plt.scatter(X[y == 0, 0], X[y == 0, 1], s=10, label=\"Negative Samples\")\n", "plt.scatter(X[y == 1, 0], X[y == 1, 1], s=10, label=\"Positive Samples\")\n", "plt.scatter(Xi3[yi3 == 0, 0], Xi3[yi3 == 0, 1], s=20, label=\"Negative Selected Samples\")\n", "plt.scatter(Xi3[yi3 == 1, 0], Xi3[yi3 == 1, 1], s=20, label=\"Positive Selected Samples\")\n", "plt.legend(fontsize=14, loc=(1, 0.3))\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "It looks like, again, using the attributions is much more meaningful tha running submodular selection on the original feature values. One could argue that it looks like performing submodular selection on the attributions yields a more diverse sampling near the decision boundary than using the those samples that the model is the least confident about, but it's a bit subjective to say that.\n", "\n", "Let's try to solidify a situation in which submodular selection on the attribution values is better than selecting the least confident samples. In this case, we'll build a data set where samples overlap significant in one part of the decision boundary and not in another portion." ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "image/png": 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ZT4KpcFJidJB0bygUG6HKMNm6dSumTp0q+llRURGmT5+O+Ph4LF26FAMGDAhaODmlZOZKWuu1pAwatYo2mJwYu+VoiBlRSsdvCwNM75wDPUpO9ZLJX1mXlgJ79oAR7pwcKh4DJUYHLQemUDTBcAqTJpqbm5GVlYWtW7ciNjbW57P6+nowDIOoqCh89913ePHFF/Htt9/Knu/gwYOIjIzULjkAluNwodGNbhFOwxRRY2MjIiIiNF2L4zg8vu0sSiobkRIfgVcn9jRcTn/qrrhwz8YyuDl+f6L/mdUH3TtZl/MsJSfA38+l287iWEUjBsZ2xGuTe8KpcIXt+VvPXL8ysSccQcy1nJyaYVn0mTcPkYWFaEhLQ9n69YE9CCwLZ20t3+XVbzy6yKhFJik4Dn3mzvU5l8+5P/iAaOWsej5l7o3RpKSkmHo9CsVMFGuonTt3YvDgwW2MEgCIjo72/nvcuHFYuXIlamtrERMTI3k+h8Nh+pdLy4q6pKQkKDn/npxiyipeSk6O45Cxv97rMclMu8FSb4LcfFZdakJJ5X/AAiitbsLy787j8/tHez08cvev6lITSqtOws0BpVVNiE/qH1RoL9j7LkpFBVBUBLjdiCoqQkpsrLwHIUAegy4yqpUpEAUFQFUVouLjkcIwQEEBfsjLw8CxY/mfCabk6FGkxMRIezcIqbApKSmx7NoUihkoXhpt3boVU6ZMEf2sqqrKW61SXFwMlmXRvXt3fSTUCat2BjazgkUMTzgsf9l4bFg4SnOOitKKpGAqpWKjwzEsqZv35+LyCz77G8ndP1vsY6S2EsSMkla9d6/1ryJyOOCOjSXaUwLA6zmSrKChFTYUimko8phcuXIFe/bswXPPPef9XW5uLgAgJycH27ZtQ25uLpxOJyIiIrB69WriYvyhtDOwWs+PWTkqweazMAyDjb/PxB1r81FcfgEZAgMj0P2zRZKs2pwDM5In/WXiOH4X4/aWE1FVhcjCQkAqH8aMChtCPDIUitUoMkw6deqEgoICn9/l5OR4/z1nzhzMmTNHX8l0Rk0Cq1Dxk4ac8jci+VNoEBw4VYcfKi5hUGJn0fPrYfw5nQ58fv/oNuNQcv9ssY+RmkoQvZMnpRSfRyYlJbBqz20X4uPRkJaGqKIicSPQaCMxmLmnUEIM4ju/6oXSFbW/4n8mq6vJksojpfxZzpjqG49BcOBUHSLDnZjyl13I6Bcjen69KqXEDAxbeET80UNZ67Vpn5F9N0JBqTIMytav53NsxO6X0RU2VVVAXh7vscnLC60KJgpFJTZ7ewSHknwPf8V/odFtooSBkcqluNDoNqRDqscg2Lp4LBqaXHBzkDy/Hvksclidr6MK0nISlOSraM03aS+bDRq54V5sLOApIoiO5n+mUNop7cowUYK/4u8W4bRaJB+klH+3CKdhyZ8OB4NBiZ2R0S8m4PltZTwYiRXKWq5FuhKjw+MVKC8H/v1v5QpY7wRaoxGbp0DJr0ZTXQ1cvsz/+/Jl/mcKpZ1CTCiHlOZY/iGD0tJSy2SRwopQhy1DKVaiJidBj5BPoHCK0lCEltCRnRqJSc1ToORXo6FdYikUL0R4TKwq5ZXCrqt+o+W267xYgtD7sGMHX+ki5slwuYCxY4NfqSvx0BgZijDy3HoiNU9Xk18t8/po9VZRKCEIEYaJXXaQNXM3Y0oI4HAAcXFAdra44cGyQFYWkJ8ffMjHbuEUKQLt2BssUvN0NfmVGgYUivUQYZjYoTmWXl4dOxo3dpSZGPxX6BUVrYq3qgrYv7/12BEjtBsUZqy4jTYazEgYlpsnK70+pCVLUygWQoRhYnQ1hx7o4dUhLWSlBDvKTBTCFXpmJnDXXa3KJzaW33XX6QRGjQJ27w5OKRqlWFkWOHvWeMVpVsKwmQaIUmOuvVQ2USgKIMIwAcjPX9DDqyNm3JDujVBrkJE+HtMRrtA//dRX+VRX85+dOcP/TGLvD89KPikJ2LVLneJ0uYDvv1duxIRKOMqDGi9IqI2dQgkCYqpySEePqhT/BmQxkWGGNEXTE7Udc0kfjyV4Vugc17bygmHaVn+Q1EXVs5J3X+3no1Rxuly8R+jCBQyMjgbq6vi/lcNO1T1KUNOwLtTGTqEEATVMVBBsy3N/46a6nvz9e9QYZGLelR5R4aFXYqzVcFCifMzsoqpkHLGxfO7L/v18KOrTT5WFQUpLgQsXAACO+no+TDVuXOC/06vTLQmoLQEOpbFTKEFAoO84tBGGrOyQ9AsoD7P5j8fjEQqp/JRgkxQD5TeYlWugZBwsy1cU7dsHZGTwRlJiojJjLDkZ6NyZ/7fDAfzXf2mbL6MTbo2ElgBTKJqwzGPCcXwugpEraVKatkmhR3jIM0YScjqUeIRsj1L3vFavSnw875nYs4f/v1G5BkrGIQzjHDjA58Qo3Ttn/HigoQEYOhQ4coT/ndrGZaGwBw/1glAoqrHsW15+scXQlbRdqkmCSfoVjvHxbWdRcbHRcgPFjh4hVShJUgzGq8JxvCHj+c/sfh5qjxFDaNAcO4aGoUO1JXWSUKliZ48NhWJTLPOYNLZwhuZWSO3CG0oIx/h9RSNGv7RdcudftejhbQrJNvZK8kS07tIb7N+qQck4tCZk+uVWlP31r0iJi9PmPbKyTXsoeGwoFBti2bcsIowxdCUdkqt1PzxjdF41QuR2/lWDnt4m0svANREoTySY0k8zy0aV9PPQ0vPDP7fC6ZQ/h5RXQk2OhhGeDRI8NhRKO8Qyj0nvLmHIXzbesJV0SK7W/fCMsbq+Cb99ZzeOVzfrYoS1B2+ToQRT+skwwPbtfFXL9dfbN2FSaW5FIK+EkvMY5dmw2mNDobRTLDNMGCa40lslBFveawccDgbxXSLw6qRrEJ/UXxcjTE3vEr0gPVFZNVqTHj2Jo+0lfKBH6Mqo8BftLUKhWALtYxIiOHQ09Mz2NrW7xmxyFTtySpakxmv+BFOFFKxXwkjPBq2qoVBMJ4SXYjy0Rbo2zMwNscvu0rogVrEjzI+QyjEheZO3YGTTo9eHknPYsbrGjjJTKDoQ0oaJ3iXDdjJy7CRre0hU9iK227BQqXOcuJLVkohplmITypaXBxw7pu6aemyqJ3cOOcNJ7RyZNackG6IUisGEtGGi50rcLn1RAHvJCthjd2ldYNnW/XI8HhGGaWtwiClZtdU6Zio2j2xOJxAdDaSlWadMxQwHKaNO7RyZOae0IojSjglpw0TPlbhV4QYtng8zZdXLMxOSZcVAq6J0u1t36eU4oKyM94gkJCgzONSGPMxUbB7ZioqAy5elr2m0t0HKcPA36mJjeTkqK33myFlbK39+M+eU7jZMaceEtGGidCUuVK5SitaKcINWz4dZstrNM2MoYkpXqCizsvgwh8sF5OfzXhFPd1elBoeakIfZis3hAAYPlr6mGd4GKcNBOMc7dvD7//TuDcyezbf9vyqvu0cP+fObOad0nx1KOybkq3IClQwLK0LS+3QHwOFQ2XlvdYgHK/qiaO0nYpastN/JVaT6aAgV5f79/C69Bw60VWpGVH7oVeqqptpG7ppmdLSVq87xzHFFha8cZWX8Z/HxfO8YrePTC+F8UyjtlJD2mCjBR7mW1cmGQMwONwTj+TBD1naVtCqH1Erdf4W9e3fbFbCR4Y1gk0q1eDmkrmmGt0GJl8FfjsREdXOkR6KuFML5HjfOd+5dLlqhQ2k3hLzHJBDCZmLpfbsDXKvHJDY6HNUazqmmWZjcsaR3r9VLPts3V4uN5b0h+/f7Kl2xFbbQS0D6Xix6ejn08DYo8d4E8j6R3DTNf74ZpvXfWVmt3ra//c1qSSkUQ2n3hom/cuU4BKUk1TQLU3Is6d1rg5XP9s3VWJbPWdi3jzdOduzwVXZyilJM8cfFWas0hcpf78ZlwYSs9DTirGqaFsiwEs53ZmZrxdaIEfzz5Xa3Pi8USggT8Jt94sQJzJgxw/tfeno61q9f73MMx3F44YUXMGHCBEybNg1Hjx41Sl5DEIY9gg2BqKmIaVeNxSSw/Rx4jAu3m1/RVqvwsfmHFWJigLFjg0sQFYaGtPToUNJTxQrsXj6rJCwmDEV9913rv3fvBsaMaX1OwsJMF59CMZOAhsm1116LLVu2YMuWLfjiiy/QqVMnTJgwweeYnTt34uTJk/j222/x/PPP49lnnw1KKDs1B/NHTd4FzdEIbg6IeE7i4/nVrdPJ/1+NV8G/WuSmm/iKHa3KVy5HQYmRI6b8hTkVVnYitXv5rFLDSjjfnn87HPzGjoWF/PNCoYQ4qkI5+fn5SEpKQq9evXx+v337dsycORMMwyA1NRUXL15EZWUl4jW8POzm2vfPj1CTd0F6DokZaJ0DYp4Tjmst+2WY1p9bBZV33wurRfbvb/39iBHKla/nGhwnnaPgnx8iJpdc6EZpKMWo/XxIzg1RQjBhMf+NHWmOCSXEUWWYbN26FVOnTm3z+4qKCiQmJnp/TkxMREVFhaxhwrIsSkpK2vy+7ooLB07Wws0BB07WYm/R9+jeybpUmMbGRlE5AYDlOCzddhYllY1IiY/AKxN7wiF4YapJnNWSZKtUTpKQk1PNHBj9nCidT2d1NQbk5YFxu8Hl5eHHvDy4Y2P5D1kWfebNQ2RhIRrS0lC2fr10XgTHoU9aGiIPHULDkCEoe/vtgOWrjY2NKDl61OcaGDYMkUVFaEhNBRiG/31qKspqagBPAzGXC33uuQeRR46gIT3dV6633oKztpbv6SG4vuw4PUiMV/dnM1AjNI0ElJNlW+dGi2EkMbeB8J97mmNCCXUUv8mbm5uxY8cO/OEPf2jzmZgrPdDK1+FwICUlRfRcGfvrvSvhzLQbLPUklJSUiMoJAFWXmlBadRJuDiitakJ8Un/LElU9cpJe4SI3n2ow+jlRLCfH8fH/PXvAjB6NgWPHtiqtigq+G6rbjaiiIqTExsonXRYUAFVViIqPR4rUni8Cj0FJSQlSYmJ8ruHpyxEVH8/L5n8+luXzWA4fBgBEFRYGlivQOD1IjFeve240snJaWUHlN/c0x4QS6ig2THbu3InBgwcj1n+VBN5Dcu7cOe/P586d0xTGAewV3hCWGpOQI0JMeMMEiHlO5EIMat33ctUiYopReI28PCAjozUnwSOb//mqqtqGjDwt2uVCJEpCKXpX8RgVFtKCGQ3ipPCfexXeFgrFjig2+bdu3YopU6aIfpadnY3NmzeD4zgUFRWhc+fOmg0TwD77ppC2+ZxeFS5mJJWqvYbY8cQ8J1JNtzgO2LABOH06+KZqcu3Wt28HRo7kq4Juvlk+0VWYRJqZCeza1dqiPVCSbKDmYsG0UfefEy0b7BmZmGt18q2Rjd0oFMJQZJhcuXIFe/bswS233OL9XW5uLnJzcwEA48aNQ1JSEiZMmIDly5djxYoVxkhLIMQoR+hT5WPG/jdqr2HLPXk8irVPH35PFq0K14OcYqyp4ftcuFy850SumkdoPOTl8X+rZxmuFgUqNidqyoPN2IeH7l1DoZiGolBOp06dUFBQ4PO7nJwc778ZhmlXxgip6BHeMGP/G7XXsOWePFKufzUhAf9QhlQoJTYWiI4GLlzg/y8SbvVBGDIiIfwiNidq5AomzKJmbxqrGrMBdA8dSruCoP7X7QujwiXBenDM6K2i9hq27Pci5eHw/N7p5HNC4uLE/17MCyDljaiuBi5f5v99+bK6Jm96egL09AapkUtrmMUMT4seiDW+o1BCGOJb0pNcZaJVNrkkVavH6/G6VNU3wairq/XsEJPoqgYpD4cnJ+Smm/gk1JtvFq/wUOMF0OL1EK7A9fIEaPVcSM2VUrmU9jjx9+b4yeusrSUr4daD/7zScmFKiEO0x4Tk3IJgZJNKUiVpvEtyCzH65R2GyaHWs0NSLo9ipDwcNTW8USKXP6HGC6DW62GUpyCYBNFgkzsD/b3YmP3kdXfvTqYHxX9eabkwJcQh2jAheR+VYGSTCk2QMl5S5AhZlChwtcaGGsVu1L4zJCeIVlTwyb7CMfvJ66yrC35ejKgO8p9XCiXEIdowITm3QIlsUnkkUmXGpIyXFDlCDo/SAnz3PpFS4EaViBpZ+kpiWSvLAnfd1eoBEe5pJJDX3aNHcPOi1ROlxJghcTqGcFsAACAASURBVF4pFIMgOseE5NyCQLIFanbmCU2oOadZkCJHSCFskCbc0j6YLqIehaY2H8Lu+86oxeMh4jje6Pj0U/ExBzsvWnJsrOwoS6EQCtGGCSCuwElBTjatJa6kjJcUOUIGf6Ult8GeEq7uS4OiIm0KTY+EV1ISRQPJ4Z8cLDfuYOZFSxKyBmOG4zhUVlbi/PnzcLvd2mSlUCzC6XSiW7duiI2NhUPinUW8YUIKaqtlSGtXT7EYodLy95ioraK5WlESWVgIuN3mt0j3yCO20jfbWFHicTDLQ6TlOhqMGbfbjaamJvTr1w9hYWHUo0mxDRzHoaWlBRUVFSgvL0efPn1Ej6OGiQK07EFDwyHtCCXK2F9pXd1gT5ECE1O+8fFoSEvjN+6zokW62Eo/Lq5VzhEj+Hb3Tqfyc+rVnE3MQDOrOZra68gZMxLzwXEcevXqJbnapFBIhWEYhIeHo1evXjh+/LjkcfTJVoDWKhVblrhS1KEm4VGYwBhsFQ3DoGz9evEKGKP3jQHEE2irqlorX/Lz+V2M1SSA6t2q3y6IPQsB5oMaJRQ7E+j5pU+3AmiVinWYsaFgUBhVeitESvlqUGi6IVYaHBsLREa2HrNvn/L50DqPJJcoB4MZzxWFQig0lKMAM7qhUtqiJYRmOnrvNSOGmtyFYPaNUYt/2KK6GrhypfXnkSN5eWtrA58rmHm0cg8bozDjuaJQCIV6TFTg6YY6e+1eVFxsJHcVHyLYotGblhW7VKhFLgSjNPRjZWhDeO3MTD6so9SDEaqeD63Q+bCMN998E1OnTrVaDEspLy/HoEGDcOTIEUuuTw0ThQiV5L6TtRhNQNv4UMc2ITQ1+SJSoRa9QjBWKjThtfPyrO3HoTTPxox8HK2EWFO1J554AoMGDcJbb73l8/uCggIMGjQItUo8azoipXznz5+P//mf/zH8+v/3f/+H2bNnIyMjA2lpaZg0aRKeeuopw69rB9qtYaI2d8GjJJ1XQwluDppW8cTnTBCEVIdcWyOVO6BnToGVCk3rtfXMjVF6LrvsLhxCdOzYEe+8847pRogaoqKi0L17d0OvkZ+fj4cffhg333wzPvnkE2zatAmPP/441QtXsY1hoqdC17JZnldJPpGNkf20reJJ2qTPLoRcZZNUqCU2li+xtXN1STDoaZgJq4Py8qTPJbW7sN4eFJK9MiZz4403olevXm28Jv789NNPWLhwIdLS0pCZmYlHH30UVYL76HK5sGrVKowYMQIjRozAqlWrsGLFCtxzzz3eY3bu3Im7774bI0aMwMiRI7FgwQL8/PPP3s/Hjx8PALjjjjswaNAg798KQzm7du3CDTfcgLq6Oh/5Vq9ejenTp3t/PnToEObMmYNhw4YhKysLK1asQH19veT4duzYgaFDh+L+++9H//790a9fP2RnZ2PVqlXeY+rq6vDoo4/ipptuwtChQzFlyhR8/vnnPue55557sGLFCrz88ssYOXIkRo0ahQ8++ADNzc1YuXIlMjIy8Otf/xqbN2/2/o3HU/Tll18iJycHQ4YMwaRJk7B79+6g7snx48cxd+5cpKenIy0tDdOnT8fevXtlzymFLQwTvRV6MOW/8V0isGFhpqZVvC1yJghGaJza1vMkFmphWSA7m69iycgAduwIGfe9YvTIjfEYAD16ANHR/O+io3mjT8E1DdldmHplfHA4HHjsscewYcMGlJWViR5TWVmJ3/zmNxgwYAA+++wzvP/++2hoaMADDzwA9ur8vffee9i0aRNeeOEFfPLJJ2BZFl999ZXPea5cuYK5c+di48aN+PDDDxEdHY37778fzc38e3fjxo0AgHfeeQe7d+/Gm2++2UaW0aNHo1u3bvjmm2+8v+M4Dl999ZXXMDl+/DgWLFiA7OxsbNmyBWvWrEFpaSmefPJJyXmIi4vDiRMnUFpaKnlMc3Mzrr/+eqxduxZbt27FvffeixUrViA/P9/nuC+//BJRUVH49NNPsXDhQqxatQoPPvgg+vXrh88//xwzZ87E008/jQrPPl1X+dOf/oR77rkHmzdvxpgxY/Dggw+2OcaDknvy2GOPIS4uDhs3bsTmzZuxePFidOyorXu4LQwTvRV6sLkLcqt4OYVpm5wJAhEap7PX5uOudTb2PPmHOzwrd7cbOHCAr25pbwSbGyM0AG66CfCsVi9flp5PI3YX9ofwsl8rDPxx48YhLS0Nr7/+uujnubm5SE5Oxh//+Ef0798fycnJeOWVV3DkyBF8//33AIAPP/wQ9913HyZOnIhrr70WTz31FOLi4nzOM3HiREycOBH9+vVDcnIyXnrpJZSXl6O4uBgAEBMTAwDo1q0b4uLi0K1btzayOJ1O3Hrrrfjyyy+9vzt48CDOnj2LadOmAQDeffddTJ48GfPnz0e/fv0wbNgwPPvss9i2bRtqampEx+jxrsyYMQPjxo3DkiVLkJubi8uXL3uPSUhIwO9+9zukpKQgKSkJs2fPxoQJE9oYYAMGDMDixYvRr18//Pa3v0X37t3RoUMHzJ07F3379sWiRYsAAIWFhT5/l5OTg1tvvRX9+/fHU089hZ49e+Ljjz/WfE/OnDmDMWPGoH///ujbty8mTJiAtLQ00fMFwhblwnq3dzeqK2ug8lbaDVY7/sYpGAZulfsQEYtepaGk7F2jlWDKfoUGwP79fFjswIHA8ym4pnd3YT1LdIO5twbfTyvL8f/4xz9i9uzZmD9/fpvPjh49igMHDogqtbKyMvzqV79CVVUVhgwZ4v09wzAYMmQIzp0753PsG2+8gcOHD6O2tvaqp5XF2bNnVck6ffp0fPjhhzhz5gx69eqFL7/8EiNHjkTC1efm6NGjOHXqFP7xj394/8Zj6JWVlaFHjx5tzhkZGYl169ahrKwMBQUFKCoqwurVq7Fu3Tps3LgRsbGxcLvdWLduHb7++mtUVlaiubkZLS0tGDlypM+5Bg0a5DMPPXr08PldWFgYunTp0sZISk1N9f7b4XBg6NChPqEuIYHuydChQ/Hb3/4WTz/9NDZt2oTMzEzccsst6N+/v+S8ymELw8QIhW7EJnVKNu4zc3M8uf191O79YzVC4zS9TzeAYXCIpH2IglEieuzlYvUutVYbRf4GwI4dvKdEjTxG7Kmj5pzCOeQ4w++n1o1G9WDo0KG45ZZb8Nprr+HBBx/0+YxlWYwbNw5Lly5t83c9evTwKv1A7637778fCQkJeO6555CQkACn04kpU6agpaVFlaw33HADrr32Wnz11VeYP38+vvnmGzz++OM+8s6aNQvz5s1r87cJAQztPn36oE+fPpg1axbuv/9+TJo0Cbm5uVi8eDHeffddvP/++3jyyScxaNAgREZGYvXq1W0Shzt08FXjDMOI/i4Yr1igewIAixcvxrRp07Bz507s3r0bf/3rX/Hss8/ijjvuUH09WxgmgD12uyVp4z651ZAtGpf54W+cchzIMaz0MAqCbRJmZmM1f6w2igBxA0DL+I1o1qbknP5zuGGD4ffT6vfVo48+iilTpmDXrl0+vx88eDD+8Y9/4JprrkFYWJjo38bFxaG4uBijRo0CwHsojhw54g3n1NXV4eeff8YzzzzjPebo0aNwuVzec3jOzSrI+5k2bRq+/PJLDBgwAFeuXMHEiRO9n11//fX46aef0LdvXxWjb0vv3r0RERGBhoYGAHxC7c0334yZM2d6x3jy5El06dIlqOt4OHz4MDIzM73nLi4uxqRJk0SPVXJPAKBfv37o16+fNx/ms88+02SY2CLHxC6QVN4ql5ejJGeHxORSYW4PUdU6ZuYRSFV4WNlYjZQ8imDLpK2snvGfQ4Yx/H5a/b7q27cv7rzzTnz44Yc+v7/77rtx6dIl/L//9/9w+PBhnD59Gnv27MHy5cu9lS733nsv3n33Xfzzn//EiRMn8PLLL/tUiHTt2hXdu3fHxo0bcerUKezbtw8rVqzw8ST06NEDERER2LVrF6qrq3Hp0iVJWadPn46ffvoJb7zxBrKzsxHtSa4GcN9996G4uBjPPPMMjh07hlOnTuFf//oXnnnmGcnzvfnmm3j11VdRUFCA06dP49ixY3jyySfR0NCA7OxsALySz8/Px4EDB/Dzzz/jueeeQ3l5ubpJliE3NxfffPMNTpw4gRdffBG//PILcnJyRI8NdE8aGxuxcuVKFBQUoLy8HIcPH8ahQ4c0h3KoYaIzpChMuUTbQEm4tKxZJVqNArWKUK7CI5jk0WAVspFGkVA2Iw0HlkWfefOsq57xn8OEBFMa5Vn9vlq0aBGcfjtQJyQkIDc3Fw6HA7/73e8wZcoUrFy5EuHh4QgP599V8+fPx/Tp07Fs2TLMnj0bADBhwgRvFYjD4cDrr7+O48ePY+rUqXjuuefw8MMPe/8e4EMgTz/9ND777DNkZWW1CSkJ6dWrF4YPH47S0lKfMmEASE5OxkcffYQzZ85gzpw5mDFjBlavXi2aW+JhxIgRKC8vxxNPPIFbb70VCxYsQHl5Of72t79hxIgRAIAHHngAQ4cOxX333Yc5c+agU6dO3oRbPfjDH/6A9evXY8aMGdi1axfWrFmDxMRE0WMD3ROHw4GLFy/iiSeewKRJk7Bo0SKkpqZi2bJl2oTjLOLQoUNWXVoVx44ds1oERQjldLtZrvJiI+dyubnKi40cy7JtjvccI/ZZ5cVGrv+yrVzfpV9x/Zdt5SovNhoiJ8moltPt5rhz5zhOZD4lj7/pJo7r0IH/v9sd+G/OneOPBziuQwfu+M6d6mTUSw6p80iMX/M9F8qWlaWPnFKcO8exTqd3brlz5/Q9vxIUPkOHDx82SSB7MXPmTO65556zWgziOX36NDdw4ECuuLjYUjnk3gvUYxJiCL0dd79TgB5R4jkYcislWtasAbVhBC3hD/++GzIrMh/kPA16hWGM6DbrL5uR4aL4eDSkpVnb4C7EWtAbyZkzZ/DJJ5/gxIkT+PHHH/HCCy+gtLTUm49BsTchb5iQmCthJHr0fLE69twu0BL+0LphoFyDL385YmOtybMQM578ZTMy54JhULZ+fdvGd7RjK5E4HA5s3rwZs2bNwp133onDhw/j7bff9ikhptgX21TlaEHv6hM7lNjqlWlvhyooW6O1NFVt1Uigah2hHLGxfAdaseoaI8uBpap6/OeI44wtSRbOrb9M27cDNTX27RETYvTs2RO5ublWi2FLevfujePHj1sthiyKPCYXL17EkiVLMGnSJEyePLlNB7mCggIMHz4cM2bMwIwZM7BmzRpDhFWLGu9BIM+KlQmharw+1NuhAywLZ3W18StlM1z3SjwzHjmqq8XDJUa3VZcLJwnnKNB86ZkoK5QpL4/vJkvbylMopqDIY/Liiy8iKysLf/nLX9Dc3IzGxsY2x2RkZGDt2rW6CxgMSr0HSjwrVjUj0uL1od6OILiqhAfk5QFjxljTk0NPxLwOlZXiK3+pLqVG90jRo/Otv4eD44D8fO19VYQyZWTw3WSt6BFDobRDAn5b6+vrsX//fm+TlPDwcN0avGjBCO+BEs+KVQmhUrK1t9wZ07iqhBm3m8i9TTTh8TR4uolKrfylcliM7pES7D45gP6JskKZ8vKs6xFDobRDGC6AZispKcHy5ctx3XXXobS0FIMHD8ZTTz2FyMhI7zEFBQVYsmQJEhISEB8fj6VLl2LAgAGyFz548CCamHB0i3AqDjewHIel286ipLIRKfEReGViTzh0cINzHIfHBed9dWJPr0yNjY2IiIjwXv9Co1uVzEbIxgFt5qG5qckrJ8kI55NIOA595s5FZGEhGtLSUPbBB8TmFKidS2d1NQbcfDMYtxuc04kf//UvuKV23vWHZeGsreUrgVTOhyn33O++geMQWVTE38P334ezri6g7I0NDYhqaIC7e/e2xwcxfr1paWnB0KFDLZWBQgmWkpISpKSkiH8YqNa4uLiYS0lJ4YqKijiO47jnn3+ee/31132OuXTpEldfX89xHMf9+9//5iZMmBCwhnnLv/Zy/Zdt5e787z2c262s94OR/TWk+nqQ0HfDXzaxeSBBTiXYQk63m+8RorQniUUomkthbwyW9e0FYtL4TLvnwrF6/u1yKet/4nZz9RkZ/HFdu3Kc02lMvxQ1Y5D4/eGr72IKxc4E1cckMTERiYmJGDZsGABg0qRJOHbsmM8x0dHRiIqKAsBvae1yudpsNORPYwunuqTVyHCK1R0Q5fCXjfYZMRiHg/ckWPEs6Fmi6p+0ynHBhUxIL58VS5SVSuj1p6oKkYWF/HEXLgDBhPK0zpPnfvXqxYeM3G7f33vuI4HvKApFTwIaJnFxcUhMTMSJEycAAPn5+W3631dVVXlzHYqLi8GyLLp37y573ogwRrVipRUnPMJ5+Ph3N6K6vllzrgnNVZHBbEWsd/WLWNKq1kqgQLKRarQozY8RNljr2hVwOrXlkwRzD6uq+HwWtxvYuxfIymot0xbeR9LmmBAKCgowaNCggIvie+65B88995xJUpHJF198gbS0NKvFkERRVc7y5cvx2GOPoaWlBUlJSXjppZe8NeQ5OTnYtm0bcnNz4XQ6ERERgdWrVwc0Gnp3CUP+svGqe4I4HAx6RIWjup7sfiJG45kHT8VOclxH/D05RVWflvbY50UxVuyYq3f1i9JqFyU9SuRkI2F3YSmU9ou52mAtJTaW7+dSXa28Z4lw/gLNk5wc8fHAiBG8UQLwlUCe44X30abfrSeeeAKbNm0CwO9Tk5iYiFtuuQWLFy/2yVnUSlpaGnbv3u1dFH/xxRd4/vnn27S3ePPNN3028zMCt9uNd999F5s2bcIvv/yC8PBwJCUlYebMmbj33nsNvXYooOjupKSk4IsvvvD5nXAXwjlz5mDOnDmqLsww2kpa9VamdkZYsVNS2ai6hFnPEuhQuy/O2lrDt51vgx5ls0KUKGWlRoWcbEaXEweL0qZ0wuP8j5cyKvznb8cO8XlSMs8MA+zezXtK9u9v/Xv/+3jkiPa5sJjRo0fj1VdfhcvlwoEDB/D000+joaEBK1euDPrc4eHhiIuLC3hct27dgr5WINasWYOPP/4YzzzzDIYOHYrLly+jpKQEv/zyi+HXDgUIWdYoJ9iW66SGLtTI5Tm2R1SYN9ckJT5Cda6JnrkqerTCl8KKe+bu0UN7iajWsIYeZbP+BArdKN0rR042o8uJrUYq9wNoO3/V1eLzpHSenU7eOPH/+xDZR8djPPTs2RPTpk3DtGnTsH37du/n+/fvx6xZszBkyBCMHj0aq1atQnNzs8/nd955J9LS0jB8+HDMmjULP/zwAwDfUE5BQQGWLVuGhoYGDBo0CIMGDcKbb74JwDeU8+c//xm33357GznvuusuvPDCC96fP//8c9x6660YMmQIJk6ciPXr14OVCdPt2LEDd911F6ZMmYKkpCQkJyfjtttuw6JFi7zHFBcXY/78+bjxxhuRnp6OnJycNt6dQYMG4eOPP8YDDzyAYcOGYeLEidi7dy/OnTuHBQsWIDU1FTNmzMDRo0e9f+MJ0+zYsQMTJ07EkCFDcM899+D06dOy92bHjh24/fbbMWTIEGRnZ+P111/3mftvv/0W06ZNw9ChQzFy5EjMmTMH1dXVsufUiu0Mk2CUqZHdW4NRnmrkEh6b83YB/nfBjchfNt6nxFkpeubsGJWQa1nHXa1GQrB5InoqICUGkhqjQko2IwwqkpDK/QDE509snvSY5xAkIiICLS0tAICKigrcd999SElJwebNm/Hiiy9i69atWL16NQDA5XLhwQcfxPDhw7FlyxZ8+umnuPfee+F0OtucNy0tDU8++SQ6deqE3bt3Y/fu3Zg/f36b4zxK/eeff/b+7vTp0ygsLMT06dMBAJ9++ilef/11LFmyBF9//TWWLl2Kt99+Gx9//LHkuGJjY7Fv3z5ZxX358mVMnz4dH3/8MTZu3IiUlBQsXLiwTY7M3/72N0yZMgVbtmzBDTfcgD/84Q946qmnkJOTg02bNiE+Ph5PPPGEz980NzdjzZo1WLVqFT755BOwLItFixZJ6qddu3bhsccew29+8xts3boVq1atwjfffIPXX38dAJ9H+uijj+K2227D119/jY8++ggzZsyQHFvQmFAVJMqhQ4c0/61UaW8gtJQbKyl1dLtZ7s7/3qO6/FmLXFLHklCGq+S+qJXTyBJxOQLKKVXWee4cX3IK8P8/d84aGd1uZWWynmPFxqITJDybSpCUk2U5btQo/p6K3Vel89fSwnFHjgRdgnz48OGg/t4Hg++9kKVLl3ILFy70/nz48GFu5MiR3MMPP8xxHMetXr2a+6//+i/OLZifzz//nBs8eDDX0NDA1dXVcQMHDuQKCgpEz793715u4MCBXE1NjfdvU1NT2xw3Z84cbuXKld6fZ8yY4dMC469//St3yy23eH8eN24ct2nTJp9zvP/++9zkyZMlx/rjjz9ykydP5gYNGsTdeuut3JNPPslt27ZN9t3Isiw3ZswYbvPmzd7fDRw4kHvttde8Px8/fpwbOHAg995778mOe+DAgdyBAwe8x5SXl3PJyclcXl6e6Nzcfffd3Jo1a3zk+ec//8mlpqZyLMty33//PTdw4ECuvLxcUn61yL0XbLmJn9aW63ptcOdPsLkaauQyagx6oHcrfJblwHEc0vt2xyGSxiuXL6B3nohW1OR9qN0YsL0hlfvhQcn8sSwwfjxZCcIWJC3v2rULaWlpcLlccLlcGD9+PJYvXw4A+Pnnn5GamgqHQIbhw4ejpaUFp06dQnJyMm6//XYsWLAAmZmZyMzMxKRJk9CzZ8+gZPJ4LR555BEAwJdffun1ltTW1uLs2bNYsWKFTx6My+WS9Y5fd911+Oqrr/D999/j0KFD2L9/Px555BGMGTMGa9euhcPhQE1NDd544w0UFBSguroaLMuisbERZ8+e9TnXoEGDvP+OvdoQceDAgW1+V1tbi5iYGAD87svCJny9evVCfHw8fvrpJ4wePbqNvEePHkVxcTHeeecd7+888lRVVSE5ORmjR4/G1KlTMXbsWO/ce66nN7Y0TOSQqwzxhC70rhwJ1lhQI5dRYyANYTJtep9uyFuajfguhPSZkVP6WncN1htSDCSgNaRk5515PbkfWu8riQnCFsiUkZGB559/Hh06dEB8fDzCwsK8n3EcJ/n99vz+pZdewty5c7Fz507s2LEDr7/+Ov76178iKytLs0xTp07Fn/70JxQWFiI8PBwnTpzwGiaePJKVK1eqLq/1GAdDhw7FvHnzsGXLFjz++OPYv38/brzxRixduhQ1NTVYtmwZevXqhfDwcMybN88b2vIgVkEk9ju5nJdAsCyLhx56CJMmTWrzWUxMDJxOJ9577z0UFRUhLy8Pn332GVavXo2PPvoIycnJmq8rRUgZJkoqQ4zY4E4PY0GNXO1hkz6hF+pQ2Xk4HIw1RolYNUYgpU+CB4IUA4ll0WfePKCoiBxPgVaCua8kGYoWytSpUyf07dtX9LPrrrsO//jHP8CyrNdrcvDgQYSFhaFPnz7e45KTk5GcnIyFCxfid7/7HTZv3ixqmISFhcEtTFSWID4+HqNGjcKXX36J8PBwpKWlISkpCQDvjUhISEBZWRlmzpypZcg+4wOAhoYG79iefvpp/PrXvwYAVFdXo0qnvblYlsWRI0eQnp4OAPjll19QWVnZpgeZh+uvvx4nTpyQvDcAr+fS0tKQlpaGRYsWYcqUKfj666+pYRIIoTI7cKoO1fVNiO9izr4sgYyFkOrxYQJEhKykXN2kKP1AkGAgeTqqCjupapVJSb8VUiHxmSFMprvvvhsffPABnn32WcydOxenT5/Gn//8Z8yZMwedOnXC6dOn8cknnyA7OxsJCQk4ffo0jh8/7tO6QkivXr3Q1NSEvLw8pKSkoFOnTujUqZPosdOnT8crr7yCsLAwPPDAAz6fLV68GM8//zy6dOmCm266CS6XC8eOHUNFRQV+//vfi55vyZIlSE9PR1paGmJjY1FeXo7Vq1ejR48eXs/Lr371K/z973/HsGHD0NDQgD/96U8+HqRg6NChA1atWoWnnnoKERERWLVqFa677jrRMA4ALFq0CPfffz+uueYaTJ48GU6nEz/++COKi4vx+OOPo6ioCHv27MHYsWMRGxuLY8eO4ezZs5KGTtDyG3JWi4iNDkd6n+7Yd7IWbpbDQx8fwoaFmV6viVXGQaj1+DADIkJWcq5uEpQ+SUgZDVc7qkZ5PCZaV+UkN3FTConPDEEyJSQk4O2338arr76KGTNmoEuXLpg6dSoeffRRALy35eTJk3j44YdRV1eH2NhYTJs2Dffdd5/o+dLT03HXXXfh0Ucfxfnz5/HQQw9h8eLFosfecsstWLlyJerr6zF58mSfz2bNmoVOnTrh3XffxZ///GdERETguuuuk+3dNXbsWHz99ddYt24dLl68iB49eiA9PR0vvPCCt4/KqlWrsHz5ctx+++2Ij4/HQw89hLq6Oi1T14bw8HDcf//9WLp0KX755RekpqZizZo1ku/RrKwsrF27Fm+99Rbee+89OJ1O9OvXz1tK3blzZxw6dAgfffQRLl68iJ49e+LBBx80rDIn4O7CRlFYWKhrS1yP0eFmWYx5eQfcHNDBwSB/2XjEde6o2TiQ3QFRIVWXmpD50na4WM5HJj3RQ04zsJWcycl8ya9HGRJWCqtpLo3wOgQwGkqOHuU7qgZzzYoKvgTb5eJLbsvLdVeoSufTau9ncXEx3V2YIolUx1vSkPu+2WzJIY6w18WSDUWi/TSMbAAWCLrpnk0Jtf4ceu/F4yFQ8zBhXw6tzecIaeJmWV8dtPZKolBCnZAI5fgkSp6qQ97SbDgcjM+KxsqcBSLCEhRtBOvqNjIvQm21i1RoKlgZ1ezJozUcQ0g+RJsFzqVGxDVeNFwmocf301nXGHYdCoUEQsJj4u+RiO/SEXGdfUtL+zqjKgAAIABJREFUrd6Z2JMca7VRQmpLftuhZOVvlIfi6rn7zJun7txiXocAMso9L97PAGWeJT/DiK2oVPcsEtARVfiuyUjqitjpk4y5v34IDSLjrkIJBW6//XbiwziBCAmPiVKPRHsos5WDJuHqhNKVvxF9IjzeDY5TVu3i7w3x9zpUVkrKKPe8iH4WaGwCzwo3ejRytpzAwbLz1j+LgjkNhM+75nIdmCXm9AERenxDYjVJocgQMs84KR4JkrEyzyakULohm955EULvxuzZaEhNlT+3mDfE3+sgI6Pc81JzqREnj52Ay80qf5YEOTvVX27DwbLz1j+LgjnqM3euIq+H912TkGBa3ovQ49vB6aAeT4qtCfT8hoxhQgkMTcLViavKnOvQAc03ZoKT2mqdYYDt24HCQl4hB2s0+xlEZ/78Z/nwiRIDSibBV/J5YVnETp+EvDVz8UnuMj6kYeHO1kEhmKPIwkJpI1MMk5OjhYuvK1euGHotCsVIrly5ItuzJSRCORRl0CRcnWAYsNt34P7Xv8GOWmD42wXioQiWBZed7Q35MP/+d3C9N/ySTN1xcfKhg/h4IDOTP37UKM8WdG0VqESCr+TzUlUFZs8edGDdGHm2FLm39Vf2LAlCYMzo0cjdvgM1V1zWPouCOW1ITUWUWq+HBX1AGIbBmTNn0KtXL3Tq1Il+jym2geM4XLlyBWfOnEGCzPeGGibtjPaeZ6MJkaqVmisu7Khj4OKkN25kz54Ddu2CAwC7axe4s+fg6BVERYV/jkhpqby8sbGtRsiRI0BSkupqGNHnRaDMmdGjlStmPw+Oo6YacVY39xLMaVlNDVJsoOSdTicSEhLwyy+/tNlXhUIhnbCwMCQkJKBLly6Sx1DDhOKDp3lUTGQYahtaJFezVjeZMg2JRFfJ8nOBEVN7pQXCvTdrr7QgVsn15EpiA63QhfKOGAHs28cnyF64wH+elyeepKmmZFhr6a7Q4zNiBCAVAjMbz5zW1lotiWK6dOki+2KnUOwMNUwoXjyVFgdO1SEy3ImGJhcy+sW0CVOEenUPy3Kou8Jva85IVNaIhjn8jJge//wnfvzVYFx7sgQ/XDcUKdcmBbpw8G3XKypa5d2/v9U4YRjeQImO5j0pwV5XSwjDk3OTlcXLdPPN9mwtT6FQDIW+EWyAWb1HPFUYbpbDpUYX3BxEKyZCubrHY3Tds7GM7+wZGydZedGmEkxoxOTlgfn1rzGgrBRsxgikHNsPJpACVlrtIy08MHs2//cMw8u7ezdw+HCrV+PyZaC6Wt/rqqGmBjhwwLfMmeKL1u64FEqIQIxh4q98aSMwHjNbYHvCE04Hg84RHeBkIFoxYVVFhRnPhNc48xhlDS3KKy+EpbcjRgD794NxuxFeeBBMTU3giwdbXlxVBeTn8/92OIBPPgGcTmDwYPnzBntdNYrUgtbyhjw3ShvsqTUwjGzKR6HYBCJCOf6hgf9dcCN+825ByIYK1CDmnTAqeVUYnpDLMbGiuses8JHH6DpwsrbV6GIYZWELYe5FXJxveESJAvaEOkpLgeuvlzSCPPk9bRStXwOz6shuiOU4/v7I5YQE0+5dbRjI5Nbyhjw3SsasNSxnRFM+CsVmEOEx8Ve+P1XVh2yoQC1meyc84Qmn0yHbsM7shnZmhY88Rtf/zOqjbesCT+6Fw6G+xwXLAuPHA2lpvFITWS0LPWiPbzvr60G7qvTZstO4K+clZL68o9XLFqidu9Z271rCQGqvFURow2cfrZM1qP3P6eBDJErGrOQYsXERslkhhWIlRBgm/sp3YEK0acqY9JCR1Xv8kIKZBprDwaB7pw7Bz7VaBaxAmQkVbUllY1sDzeFATXR347qq+itTDYpU1XcuyNCG57kJYzhs+Xw5eiT3Dz5EomTMgY6RGleo7WhNoWiAiFCOWGjAjFCBXapLaO+RdtIcTsEuvcIy5eS4jqIGmmE7aUuFJ1SEZlR/54IMbTAch9zpv0Lt5WvQ47XvwegRIlESjgp0jNy4LGjaRqGQBBGGCdBW+apRxlp7apiZv9GeMKrHScgbaAoUntBAqzr9s+j8GmbE6ZD/UHO5GYdO1qBb/XkcPMkF/s4pMNbaIGwwl50Nx549iM3MVH+eYJEzMLSMi0JpJxARygkGuaqVQC5jYvbrCCHMrCIKSRSEf5Tk9xiSAyQWnlAZaomN7IAtny/H3rfm4e+fP43YSJG1kTBcpDa0IZQnK4tvKOdy8dVKGzboEyLRo3KGhmwoFEkUGSYXL17EkiVLMGnSJEyePBmFhYU+n3MchxdeeAETJkzAtGnTcPToUUOEFTM0pJIilShImr+hP6HW44T0HCTNaEkoFVOmKpNfmepqpPzne3Rg3Uj5z/dg/HuqKNkRWU52sQZzHkMqMVFbgq8/evV9UTMuCqUdocgwefHFF5GVlYVvvvkGW7ZsQf/+/X0+37lzJ06ePIlvv/0Wzz//PJ599lndBZUyNKS8HkoVpNnVJSSjhxIOJS9UqHl/vPfX7fZV/i6XcoXor0zVJr/Gx/P763TowP/f//hASl/OWyHVYE7CK6H5eTeicob2L6FQvATMMamvr8f+/fvx8ssvAwDCw8MRHu6rbLZv346ZM2eCYRikpqbi4sWLqKysRLyOcVOpfBCpeLphCYAhil6JwKGUpBpKOUjC+5vdncPaPXtaE0GzsvhurFra4KvtSxLo+EC5F3J5LlIN5kTyPMSed8PGrATav4RC8RLQMDl9+jRiYmKwbNkylJaWYvDgwXjqqacQGRnpPaaiogKJiYnenxMTE1FRUSFrmLAsi5KSEsWCchyH5LiOKKlsRHJcR1Sd/hnVfi8EP6cwnsnqigsjotEtwolSqZ1YA9DY2KhKTqNhOQ4XGt3oFuH0UfrByll3xYUDJ2vh5oADJ2uxt+h7dO8UXG60//0AyJtPKRobG1F1+ueAz5yVqJlL4f3dXsPh4tBh6HK4CFcGD0anffvAsCy4vDz8mJcHt/9eOkqR2ARPUk6pTfPeegvO2lq4e/Rou4Myx6FPaioiCwvRkJqKspqa1vMIP0tLQ1ltLVBXJ3oJsee9E+NS/2xevbbU91IxcuOiUNoZATWPy+XCsWPHsHz5cgwbNgwvvPAC1q1bh0ceecR7jJgrNNCX0+FwICUlRZWwf09OMX0lXlJS4pXT6h115bwaQjm1wHEcMvbXe8+dmXaDIWMMVk6z8MhpxTOnFDVz6Xt/Y9BlXwGY6mpECjrUMqNHY+DYsbonYup+zwsKgKoqRMXHI8VfVrnPBIg976WlpZJyyn33dWs7oFB2Oxj2FEowBDRMEhMTkZiYiGHDhgEAJk2ahHXr1rU55ty5c96fz507p0sYx/9lYGW5KAk9T4wMLYRSCEZPQqVEWfT+ekIFJraI1wW5MlyFPUDUPO+Bvvu6fS9p/xIKBYCC5Ne4uDgkJibixIkTAID8/Pw2ya/Z2dnYvHkzOI5DUVEROnfuHLRhQlriIQnVJkYnltJE4NDG4WDQIyoc1fV+++xobUdvc5Q+74G++6GU8E2hkICiJILly5fjscceQ0tLC5KSkvDSSy8hNzcXAJCTk4Nx48bhu+++w4QJE9CpUyesWrUqaMFqLjfjwKk6uFkOByxOPGRZDhzHIb1vdxyyMJm2vXs1rA6lSUGqXP4IV/7pfbrjzbvTEE8N0YAESqRv799LCkVvFBkmKSkp+OKLL3x+l5OT4/03wzBYsWKFroLFRIYhMtyJS40uRIY7ERMZpuv5lcJywpd5N+QtzUZ8F+te5qESWlCLWaE0yZ17LZZLD4Qr/30nazH6pe3I6BcTtMx2Mcy0osTwUPK9DPV5olD0gtjOr7UNLWhocgEAGppcqG1osUSOC43u1t1Jy87D4WCIeKmEbOMvCcwIpcnu3GuhXHrhWfk7rxohbg5By0xayNUogg1ztpd5olD0gFjDJDY6HBn9YtDBwSCjX4xlcdtuEU5d48d6GBTt8SVnRhw/4M69FsmlF95Ox09kY2Q/fWS2k2FmJXSeKBTlELOJnz9WxG3FXK16yqGX2z/UX3JG3wcplOzc64/d8gscDgbxXSKwYWGmLjLr3cgwVMMdtOEjhaIcYg0TwNx8CjmjQS859CorFHvJiTUzsyNm3AcplOzcK4Yd8370kplEw114vqr6JjCA5dVmdjNgKRQrIdowMRMlRkOwqzm9Vk2h/JKzug28R2GT1OGVdEgz3AH+u3rXunzsO8l3fh3ZLwYbFlqbmGxHA5ZCsQJqmFwlkNGgx2pOT4MiVF9ysdHhSO/THQfL6pBOXd7tCj3DHR4jx8PBMnvvdUShtCeoYXKVQEaDXqu5UDUo9ILPCeb4f3AcOI6svl+hmgNBAnoa7h4jx+MxoXkdFIp9oIaJADmjwQ7Ja6GgNGsuN+NQ2Xm4OeBQ2XmiVrl26lliV/TMfdmwMJOYHBMKhaIcapgohJQqIcljudBQmiQbgFbnv1DU4XAwSOgSoepvQsG4p1DsDjVMVEBKlZAYwkZwdlaaZhiAWpWP1UYTVZrGEirGPYVid6hhIoCkF7/a1bmnERyJnga1GGkABhOOsbIaSkxuir7UXXF79+eys3FPodgd4gwTq4wD0vIH1K7OQ7mEOBBqnplgwzFWJS+HelM9q2FZDi99VwH31S7K6X2MM+5JWgBRKCRClGEiZxwY/WUmLX9Ai6HRHit+1BqUVodjtBLKTfVIoOZyM0qrmgAATgZYc3eaYWFEkhZAFAqJEGWYSBkHZnyZSVRY7dHQUIv/M1NV3wQHw0gac3b1LHEc8JecNMMqTNr7Kj42Ohwp8REorWrC8L7dDfvekbYAolBIhCjDRMo4MOPLbJXCau8KIViEz0x6n25YnFuIQwEMWLsZfGKGuZJHRemzRVfx/Pf/lYk9Edv7Whg5chIXQBQKaRBlmEgZB2Z9mdUqrGCNCqoQgkf4zHAch9Ev77DFatTovBg1z1ag8xtpPJNmmC/JLTT0+2hXjx2FYiZEGSaAuHFA4pdZD6OCunX1wfPMcByn2IC1UiGakRej5tmSO7+RxjNphrlZJfd289hRKGZDnGEiBWlf5qr6Jhw4WQs3B80vsZjIMAzp3RXF5ReoW1cHlBqwVitEtQapFsNcjTEjd34jjWfSDPNQKrmnUOyMbQwTkmBZDotzC+HmKwuR3qeb6pcYy3K4+50CFJ8+j2FJ3fDx724kwhNkd5QYsFYrRC0eELWGuVpjRur8RoZRScu3UDtnRnndSAtvUShmQw0TDQh3LnU6GKy5O131C8RzDjcHFJdfQG1DC1EeoVDGaoWoRAHqoZz08DLqFUYVG4/Yua1WykrnzCivm9XePAqFBKhhIoLw5ShGTGQYIsOduNToQmS4Ez2i1Cs2vZUjy3GoutRE9CqLZTnUXXGB4zhLZSQhZ0lOAZKmnII1cORavQvPTdq45TDK62a1N49CIQFqmPjh/3J8Jqtrm2NqG1rQ0OQCADQ0uTR5O/RUjizLYem2syitOknsC90zrwdO1iJjf73lMpKWsyQk1JST0qRSO43bKK+b1d48CoUEbGeYmN0B9sKI6DbHxEaHI6NfjOzLQ4mceinHmsvNKKls9CbiBmoyphQ951oYuiJd6VhNqCknpUmldhq3UV43Erx5FIrV2MowsaIDbLcIZ5tjAr08zHZJC7tWKm0yFgi9x+CZ1wMna4lXOlajt3KyOm9D6XjsppSN8rr5n9fq+0ehmI2tDBMrOsCWlpaKHif3UjLbJe3pWhmf1F+3JmN6j8Ezr3uLvkdm2g30BRsAvZSeWUZyIOWpdDwkh9gCYYQBQXeVprRHHFYLoAbPqruDgzGlA6zWl4tZcgpxMLzMPaLCMaR3Vzhlrs2yfKIsx3GS5zNiDA4Hg+6dOlCjxETM2JXYozwzX9qOu9bthcvFBny+Qg3/OWBZfcZOd5WmtEds5TGxi6vXI2fVpSZFe5rohZLeKEpX0HaZa6uwi3s9mLwNpWMUKs8DJ2sxa10+jlxtGtheVvhGeUnprtKU9ogiwyQ7OxtRUVFwOBxwOp344osvfD4vKCjAgw8+iN69ewMAJkyYgIceekh/aWEvV++SDcbuu+GPkt4oal6gdpprM7FTWatWA1PNGIXKc2jvrjhcfgHudrbCNypxly4QKO0RxR6TDz74ADExMZKfZ2RkYO3atboIFQpYUfqo5OVoZeWDHn1MrN7jxrNZoJJ7S4pXRYuB6eMFOVWHHyouYVBiZ9FxCJVnj6gw5LxdoNsKn5Q5DISRBgRdIFDaG7YK5ZCM/wvUCgNAycvRqhWYHn1MrPRUCK+d3rc70vt0w6Gy87J5PHbxqojhraI6VYfIcCem/GUXMvrFSI5DqDz17M9jpzmkBgSFog+KDZMFCxaAYRjMnj0bs2fPbvN5UVERpk+fjvj4eCxduhQDBgzQVVAPJK6gpF6gVhgASl6OVrxA9ehjYmUDLuG1D52qQ97SbDgc0r1i7NQsTAyPAftDxSVM+csuVfdNz/48dp5DCoWiDUWGSW5uLhISElBTU4Pf/va3uPbaazFixAjv54MHD8aOHTsQFRWF7777DosWLcK3334re06WZVFSUtL6M8fhQqMb3SKc0rvCcnyH05LKRqTER+CViT3hMFjhNzY2+sgpRt0Vl3en4QMna7G36Ht079Q6tWYkqymR00o4jkNyXEeUVDYiOa4jqk7/jGqV985zjmMVjbguJhyVZT+h2mFMYZn/fPrLX3PmBBiGkby3eoxXrYxGwHEcUuIjghqHVjnNmEMhpH+HKJT2AsOprOl78803ERkZiQULFkgek52djc8++0w2J6WwsBBpaWkAlLtsqy41IfOl7XCxHDo4GOQvG2/4CqqkpAQpKSmyx3Ach7vWtcq/YeEo0705SuS0Gpblgu5j4nKxmLUuH8XlF5BhoHtfbD79vXWBvHdGe/fMuufBjqOkpASDBiVrOoeZHlI7fIcA+8hJoWgloMekoaEBLMsiOjoaDQ0NyMvLw4MPPuhzTFVVFWJjY8EwDIqLi8GyLLp3765YCKUuW1JbVtPMeWXo0cek7koLjvhVfZjl3le74Vyo5BwYuYmf0de2ChJDzhSKXQhomNTU1GDRokUAALfbjalTp+Kmm25Cbm4uACAnJwfbtm1Dbm4unE4nIiIisHr1alVfRqUGB8kGgJoXqB1eWnrJqPdYSTFO7ZL/EOz863H/lG7iFyrYLWmXQiGNgIZJUlIS/v73v7f5fU5Ojvffc+bMwZw5czQLocbgsOsKyoMdXlp6yWhEO21SjFNSDCQ5gr2Pej0HSjfxCxXsYrRSKKRCTLmw3Q0OpdjhpaWXjHq30xau3q2eM1IMJDmCvY96PQd2mCs9sYPRSqGQjK32ygkF5PagUbKHjRlIyahWPj332zFqL5JgCHZPJaMJdv71vH9Sc0XKM68nHkMsf9l4SxLhKRS7Q4zHpL0gtXq0IsQjlT8gJqMW+fRcKatdvRudx2OHPKFg599oT4eSZ8oO8yxGe/EAUyhGQD0mMghbqOuJ2OrR7F1EA3kg/GXUKp9eXgU1q3ejd7sl0XsjRbDzb6RXKNAzZfY8s1zoeW8oFDtCPSYS6NFCXQ1mx6XVeiCsjpurWb377/Ny59W+J3p5ovTKvbCrN0AvAj1TZuZjsSzfvLG06iSxSekUSnuBOMOElJe1Hi3U1WB2gqBaQ4OEBEal7nHh2Ib07orDp8/reh/1MNLsUJ1lNIGeKTON4ZrLzSipbDTt+06hUKQhyjAh6WXt3cTsZK1pHgIz49JaDA27xM0D7Xar5/m1Gml2qM4yA7lnykxjODY6HCnxESitaqKVNBSKxRBlmJD0sva8FINtoU4ygQwNj/cqJjIMtQ0tlnux/OWSk8eI3W6lzq8Fq0NjdsEsY5hhGLwysSfik/oT85xTKO0VogwT0l7WerRQtyveHJur2943NLlkt703Wy41XjUSPT0khMYovjgY7c8JKSFoCiUUIMowoS9rcvDm2LAcLjW6AEjH3s18KZPkVQsWqwwmqkT1haQQNIUSChBXLhyoPDEUGzJZQaB59HivnA4GnSM6wMlA1Itldkmnnk2/2iNi94v07xTp8pld6k+hhDpEeUwCQVcm+qBkHoXeK7kcE7M9GKR71ZR6I6zyWvjfr6pLTViyoZDY75QdvvOkhaApFLtjK8NEixKkbuu2KJ1HYahBap6teCmTmDMCKFeiVipb//vFMLA0NBbo+2mH0B3pxjKFYjdsZZioVYJ2WG1ZgZ7GhNkvZZINTaVK1Epl63+/AFi22lfy/TTC8DXiGSLVWKZQ7IitDBO1StAOqy0r0NuYMOulTLqhqVSJWu36979fVq32xb6fPaLCfWTR+1kl/RmiUCg2M0wAdUpQTAGQvOI2E4eDQY+ocFTX22cuSDc0lSpR0lz/Vq32/b+fMZFhokaDnvKR/gxRKBQbGiZq8FcAHAe6WrqKHVeOVnsalKBUiVLXf9vvZ3W98UaD8BlK79MNHMeB4zjLjUMKhdJKSBsmgK8CqK5voqulq9hx5Uiap4ESPMLvpxmGp+cZqqpvwuLcQox+eYfXMKdQKGQQ8oaJEDusuM3CrnNBPQ2hi1mGp8PBwMEwOER47xEadqa0V9qVYRIqK249XlihMhckQBWIfphleIoZ5tWGX7UtUs+OHUOtFIpetCvDBLD/ilvPF5bd54IE7KBAqOHUFhIMc7lnx46hVgpFL4hrSU+Rh7a/JgvS74fRWwaQ3i5ejkDbX0ih15jlnh269QKlPdPuPCZ2x665IaEK6SXpRq687eAt0hs9xyz3XSbBo0OhWAU1TGxGoBcWSUrRSEgZJ+kl6XoYslJz3R7DDXqOOdB3mYZaKe0VapjYEKkXVntZwZI2TrNK0rUYY8GuvOXmuj167/QeMzU+KJS2UMMkhLDrClatwiV5nFoVV6A5EDMQlBKM8pOb6/YYbmiPY6ZQzIYaJiAnLBAsdlzBSilcufsRaJxW3k8tikuJB0hNkq1cCaraeQk014GMHpblUHfFZZvuqkrmiHo5KBRjafeGiZ5hAasNHDuu5vwVbtWlJizZUCh7P+TGSUKYR63iUuIBUtp3Q2r8WuclmGfKc80DJ2uRsb/e8pBbIFjO+meHQqEoNEyys7MRFRUFh8MBp9OJL774wudzjuPw4osv4rvvvkNERARefvllDB482BCB9cJjRHAcp0tYQO7Fb6bBYrfVnL/CZRgouh9S4yQ5zCOFEk+XmIHAcnzZqvC5khp/MPOi9ZnyXNPNwRb34kKj23bPDoUSiij2mHzwwQeIiYkR/Wznzp04efIkvv32Wxw+fBjPPvssNm7cqJuQeiM0ItL7dEN6n+44VBZc+EPqxU/CCp5k/BUugKDCUXYMZyn1SggNBJblsHTbWZRWnfR5rqTGb8W8eK554GStLe5Ftwin7Z4dCiUU0SWUs337dsycORMMwyA1NRUXL15EZWUl4uPj9Ti97giNiENl55H3RDYcDBOUR0PqxW/HFbzZ+K/IgwlH2TGcBWgL/5RUNrbxRkiN34p58Vxzb9H3yEy7gfh7Yddnh0IJNRhOQfvC7OxsdO3aFQzDYPbs2Zg9e7bP57///e9x3333ISMjAwAwd+5cPPbYYxgyZIjkOYuKitCxo3UK+kRVPS43uxEV7sS1cdG6nJPjADfL/v/27i+kqTYAA/jjp0mSpq5ip9KbokAUrIvAQpItlkIWWasQCiqji4pFpkaUF3WxQYTSZQURVIwK0/54YeDJjNQQsgS9KPDGoI1YYYlTO/P9LsK106Zb3+fOXuv5XbnzvrCHZ/Pw7t95kZKsv6BuPO6LiM+rv9PExATWrVuX6BhEcRPTOyZutxtmsxk+nw+HDh3CqlWrsGHDhuB4pLVNtFcbif7Hysv7M++L/h58XhHRnyimvXLMZjMAYMmSJbDZbOjv79eNK4oCj8cTvO3xeKT9GIeIiIjkFXVhMjY2htHR0eDfL1++xJo1a3RzrFYrWlpaIITAmzdvkJGRwYUJERER/baoH+X4fD4cP34cABAIBFBeXo7NmzfD7XYDACorK1FSUoLnz5/DZrMhLS0NTqczvqmJiIjojxTTl1+JiIiIjBDTd0yIiIiIjMCFCREREUnDkL1yAoEAdu/eDbPZjKtXr+rGJicnUVdXh4GBAWRlZaGxsRE5OTlGxPqtnA8ePMClS5eCv1Dav38/9uzZY3jG+bI9QLScr169wrFjx4KPtc1mw4kTJwzN+PXrV5w/fx7v3r1DUlISnE4n1q9fHxyXpctoOWXocmhoCKdOnQreHh4ehsPhwMGDB4PHZOgzlpwy9AkAN2/exP3795GUlIS1a9fC5XLprv0k07mTaE4JA9y4cUNUV1eLo0ePho3dvn1b1NfXCyGEePLkiTh58qQRkSKaLWdTU5O4cOFCAlLpWSwW4fP5Zhzv6OgQVVVVYmpqSvT19Qm73W5gup+i5ezp6YnYs5Hq6urEvXv3hBBCTExMiJGREd24LF1GyylDl6E0TRObNm0SHz580B2Xpc9pM+WUoU+PxyMsFovw+/1CCCEcDodoamrSzZHp3Ek0l+L+UY7H40FHRwfsdnvEcVVVUVFRAQAoLS1Fd3d3xAu2xVu0nPPFTNsDkN7o6Ch6e3uDj3dqaioWL16smyNDl7HklE13dzdyc3OxcuVK3XEZ+gw1U05ZBAIBjI+PQ9M0jI+Ph12CQZZzJ9Fci/vCxOl0ora2Fv/8E/muvF4vli9fDgBISUlBRkYGvnz5Eu9YYaLlBICnT59i+/btcDgc+Pjxo4Hp9KqqqrBr1y7cvXs3bMzr9UJRlOBtRVHg9XqNjBc0W07gx7YEO3bswJEjR/D+/XtDsw0PD8NkMuHs2bPYuXMnzp07h7GxMd0cGbqMJSeQ2C5/1draivLy8rDjMvQZaqacQOL7NJvNOHz4MCwWC4qLi5Geno7i4mLdHFnOnURzLa4Lk2fPnsH9wrHvAAACrElEQVRkMqGgoGDGOZFW+EZvnhVLTovFAlVV8fjxY2zcuBFnzpwxMOFPbrcbzc3NuH79Ou7cuYPe3l7duAx9AtFz5ufnQ1VVPHr0CAcOHAheK8comqZhcHAQlZWVaGlpQVpaGq5du6abI0OXseRMdJehJicnoaoqysrKwsZk6HPabDll6HNkZATt7e1ob2/Hixcv4Pf78fDhQ90cmfokmktxXZi8fv0aqqrCarWiuroaPT09qKmp0c1RFCX47oOmafj27RuysrLiGes/5czOzkZq6o8dg/fu3YuBgQFDM06bL9sDRMuZnp6ORYsWAQBKSkqgaRo+f/5sWD5FUaAoCgoLCwEAZWVlGBwcDJuT6C5jyZnoLkN1dnYiPz8fS5cuDRuToc9ps+WUoc+uri7k5OTAZDJhwYIF2Lp1K/r6+nRzZDh3EsVDXBcmp0+fRmdnJ1RVRUNDA4qKinD58mXdHKvViubmZgBAW1sbioqKDF/1x5Iz9LNwVVWxevVqQzMC82d7gFhyfvr0KfiKr7+/H1NTU8jOzjYs47Jly6AoCoaGhgD8+L7Br4+pDF3GkjPRXYZqbW3Ftm3bIo7J0Oe02XLK0OeKFSvw9u1b+P1+CCFmfH4m+txJFA+G/Fz4V1euXEFBQQG2bNkCu92O2tpa2Gw2ZGZmorGxMRGRIgrNeevWLaiqiuTkZGRmZsLlchmeZ75sDxBLzra2NrjdbiQnJ2PhwoVoaGgw/KRaX1+PmpoafP/+Hbm5uXC5XNJ1GUtOGboEAL/fj66uLly8eDF4TMY+o+WUoc/CwkKUlpaioqICKSkpyMvLw759++bNuZPo/+Al6YmIiEgavPIrERERSYMLEyIiIpIGFyZEREQkDS5MiIiISBpcmBAREZE0uDAhIiIiaXBhQkRERNL4Fw8dGT3lgdpwAAAAAElFTkSuQmCC\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "numpy.random.seed(2)\n", "\n", "X = numpy.concatenate([numpy.random.uniform((5.6, 5), (8, 6.3), size=(100, 2)),\n", " numpy.random.uniform((4, 5), (5.8, 8), size=(200, 2)),\n", " numpy.random.uniform(6, 8.1, size=(300, 2))])\n", "\n", "y = numpy.concatenate([numpy.zeros(300), numpy.ones(300)])\n", "\n", "plt.scatter(X[y == 0, 0], X[y == 0, 1], s=5, label=\"Negative Samples\")\n", "plt.scatter(X[y == 1, 0], X[y == 1, 1], c='r', s=5, label=\"Positive Samples\")\n", "plt.legend(fontsize=14, loc=(1, 0.4))\n", "plt.xlim(4, 8)\n", "plt.ylim(5, 8)\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "On this data set we can see that the blue and red samples overlap on the portion of the decision boundary where the y-axis separates the two classes, but that the samples don't overlap on the portion where the x-axis separates the two classes. A machine learning model built on this data will be less sure about the overlapping samples " ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Using 600 background data samples could cause slower run times. Consider using shap.sample(data, K) or shap.kmeans(data, K) to summarize the background as K samples.\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "83ab3c95305d4d779701d8a9a486d4ae", "version_major": 2, "version_minor": 0 }, "text/plain": [ "HBox(children=(FloatProgress(value=0.0, max=600.0), HTML(value='')))" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "\n" ] } ], "source": [ "from sklearn.svm import SVC\n", "from shap import KernelExplainer\n", "\n", "model = SVC(probability=True).fit(X, y)\n", "explainer = KernelExplainer(model.predict_proba, X)\n", "X_shap = explainer.shap_values(X, l1_reg=\"num_features(10)\")\n", "X_shap = (numpy.abs(X_shap[1] - X_shap[0]).T * model.predict_proba(X).min(axis=1)).T\n", "\n", "selector = FeatureBasedSelection(50)\n", "selector.fit_transform(X_shap)\n", "Xi2 = X[selector.ranking]\n", "\n", "y_pred = model.predict_proba(X).min(axis=1)\n", "idx = numpy.argsort(y_pred)[::-1]\n", "\n", "\n", "xx, yy = np.meshgrid(np.arange(4, 8.1, 0.1), np.arange(5, 9.1, 0.1))\n", "Z = model.predict(np.c_[xx.ravel(), yy.ravel()])\n", "\n", "# Put the result into a color plot\n", "Z = Z.reshape(xx.shape)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now let's plot the attributions for each sample, the decision boundaries, and the selected samples using submodular selection versus the least confident samples." ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "linewidths is ignored by contourf\n", "linewidths is ignored by contourf\n" ] }, { "data": { "image/png": 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+061bN4s2jR07luPXWGL16tVMx44dmUuXLpndR+hn/ZtvvmHkcjnz3Xffcdox/N2/+uqrTPfu3Znq6mp22x9//MEkJSVxnqW9e/cycrmcOXPmDOd8GzZsYJKSkpjS0lKGYR49c3//+985+73xxhtMcnIy+wxb8iEM0ellYWGh1X11mPMXddqh/74oLy9nEhMTme7duzNVVVXs9o8++oiRy+XM77//zm7r168fk5SUxNy+fZvdptOJOXPmsNsMtYjv/fMU/4ak5LmQ9evXY9euXey/ZcuWsd+dPHkSqampaNmyJdRqNfuvd+/eKC8vx7Vr19h9t2/fjuHDh6NLly7o1KkTnnzySQDAb7/9JrjNffr0QUBAAGebLbaaYu/evRCJRBg+fDgAICQkBAMGDMDRo0cFiRjExsYiMTGR9/5PP/005/PQoUNRU1NjlLYgJD/88ANSU1M5UW6xWIxhw4ahsLAQDx8+5Oyv+xvr6NChA/744w/2c0pKCvbu3YtNmzbhwoULRqkUBM+iTZs22LdvH7Zt24a//e1vSExMxJdffomsrCxs2LCB3e/kyZNIT09HSEiI0bN25coVo9+J/nF+fn4YPHiw0XGA9vcHAN988w2aNm1qcaSKL7/99hvKysrY51pH165dERsby7apIy0tjTP6q0snu3Pnjtk2ampqcPnyZTz99NOcuZRxcXF47LHHjNpo3bo14uPj2c+RkZGIjIzkPDvm2Lt3L4KDgzFw4EAAQNu2bZGamor9+/cLMs8sNTUVTZs25bWvWCzG4MGDOdv+/Oc/448//jBKrxGSH374AU8++SRnxC84OBj9+/c3uteBgYGckSSpVIr4+Hhe95ogPEVFRbh16xaeeeYZjgYEBASgS5cunPTXe/fuITc3F/369UNycjKSkpKwevVqVFZWoqysDID2HVNRUYE5c+bgq6++YkeW7OWbb75BSkqK2flDrnzWDTl79izS09PRpEkTdlvz5s3RpUsXzn4nT55EbGwsunTpwrnHvXr1gkqlwtmzZzn7G2aOyOVyKJVKlJaW2mxjfHw8QkNDsWjRIuTn55vVTVv8Rf1iQ2FhYYiIiEBqaipnpFA3WmTYXmpqKlq0aMF+Dg4ORnp6utE90Ifv/fMU/4ak5LmQDh06mE0DUSgUuHnzptnKKLrS2p988gmWLl2KCRMmoHfv3ggNDQXDMHj++eeN5iYIQXR0tN22mkKpVOLzzz9HWloagoKCWNEdNGgQDh06hM8//xzPP/+8QzbzdUJ0REZGmvxsOO9CSCoqKkx26qKiosAwDCoqKjgiZZhWKJVKOXneCxYsQFRUFHbv3o1Vq1ZBJpNhxIgReOWVVxAYGOi06yDYj1gsRrdu3dCtWzcA2jTNSZMmYf369XjppZcQFhYGhUKBffv2Gc2d0fHgwQOTaS9lZWVQqVRGL3gdume0vLzc5DNuD7pzmnr+oqKijHTB1G8agEUdq6ysBMMwJm2OiorC7du3Lbaha0f/2THF/fv38c033+Dpp5+GUqlk9x88eDBWrFiBb7/9Fr169bJ4DmvYolOhoaHw8/PjbNPNgSspKXFa9c+Kigqzf8+KigojGw3hc68JzkHX0Xn99dfx+uuvG32vc25pmsbUqVNx79495OTkoG3btvD398eRI0ewadMm9nns3r071qxZg23btrEl9rt164b58+dzUjP5Ul5ebvE4Vz3rprh//76RX2CqXYVCgdu3b/P2hfSr/ersAyxrnjlCQkLw8ccfY8OGDXjjjTdQXV2NDh06ICcnB0OGDAFgu79o+AxLpVKjbTodMryv5u6XpYAO3/vnKf4N6TB5CDKZDBERESaFDQA7x6GgoABPPPEEJzfWlnU+dDmrKpWKs91SJ8deW01x7NgxNv9U5yjqs3fvXoc7TBRF2bR/WVkZJ5Kke9HohFqIe2ZIWFiYyahSaWkpKIqyOu/KkKCgIMyePRuzZ8/G7du3cfjwYfzrX/+Cn58f5s6da7edBNcRExOD0aNHY9myZbh58yY6d+4MmUyGxx9/HJMnTzZ7jClkMhn8/f3xn//8x+T3ut92eHg4fv31V0Hs1zkD9+/fN/qutLQUycnJDrcRGhoKiqLMtmHokNjL/v37odFocPDgQRw8eNDo+7179zrcYbJFpyorK6FSqTidJp1+6H4DOp3Szf/Q4SydslWjCK5F9yzMnj0bTzzxhNH3ut/SrVu3cPHiRbzzzjsYMWIE+/1XX31ldMxTTz2Fp556CtXV1Thz5gzeffddTJo0CSdOnDAqVmON8PBwi860q551UzRt2pT1Awzb1Ucmk6Fly5ZYvXq1yfNYmpcoBImJicjLy4NarcbFixexefNmzJo1C/n5+ZDL5Q77i7Zg7n6Ze0cB/O+fp/g3pMPkIfTp0wfbtm1DixYtTPbUddTV1RlFlE1VUZFKpSYjCLqo0q+//sp2bNRqNU6dOiW4rabYt28fAgMDsXHjRiOB3bdvH/bs2YNbt26hVatW7Eu/rq7O6NpMbbeXzz//HFOmTGE/FxQUoEmTJpDL5QD43zNb7OrWrRs+/vhj/P7772jZsiUAbVGQQ4cOoVOnTg6tCREbG4uJEyfiwIEDgjnDBGG5c+cOO+FaH131J93oQZ8+ffDzzz+jQ4cORqmxlujTpw+2bNmChw8fmnSWdPTq1QsFBQU4duyY2QUF9X/Xln6Xbdq0QVRUFA4dOoTRo0ez23/66Sfcvn1bkDXhmjRpgqSkJPzf//0fcnJy2AnYusnOQpX83rdvH2JjY7F8+XKj77Zs2YIjR47g4cOHCA4ONnt/hNQpjUaDL774AkOHDmW3HTp0CC1atGAdEn2d0kVsKysr8fPPP3OKbdiqU8ePH2evFdAWd/jqq6/QvXt3h6+L4Dzatm2L2NhY/Prrr5z3myG634F+Z1ylUuHAgQNmjwkKCkK/fv3YQgvl5eWIiIiAVCpFdXU1L/t69eqFjRs34sqVKyZHmlz1rJsiLS0Nx48fR01NDRtMvXPnDn7++WfOiFefPn3wxRdfoEmTJmwhGEewVzMkEgnS0tIwc+ZMHDt2DNevX4dcLuftLwrBuXPnOO+1hw8f4vjx40ZpiPrYc//c6d+QDpOHkJmZiUOHDuHFF19EZmYm2rRpg9raWty4cQM//vgjW+1O5wht2rQJnTt3xnfffYfDhw8bna9du3YoLy/H9u3bkZycDH9/fyQkJCAlJQWtWrXCO++8A5qmIZVKsX37dqPREyFsNaSsrAwnT57E8OHDTTpxUVFR2LNnD/bt24cZM2awlZv+85//YNSoUZBIJEhISEBUVBRkMhkKCgqQkJCAwMBAtGzZ0mhBSb589tlnoGkaKSkpOHXqFHbu3ImcnBx2KJrvPbPFrszMTOzduxcTJ05ETk4OgoODsX37dhQVFWHz5s02X8MLL7yA/v37Qy6Xo0mTJvjhhx9w5coVjBw50q57QnAuw4YNQ48ePTBo0CC0bNmSfbn897//xdNPP806vzNmzMDo0aPx0ksvYezYsYiNjUVlZSWuXr2K4uJikw49APTo0QPDhg3DjBkzkJmZic6dO0MkEuH27ds4fvw45syZgzZt2mD48OHYuXMnZs+ejSlTpiA1NRXV1dU4efIkxo8fj3bt2rEvsq1bt6Jv374QiURsdTV9xGIxZsyYgdzcXMyZMwfDhw9HSUkJVq9ejfj4eJuquVli5syZePnll/Hyyy/jxRdfRE1NDfLy8hAcHCxIp+zSpUu4evUqcnJy0KNHD6Pv6+vrcfLkSRw+fBgZGRlm7098fDwkEgl2796NsLAwSKVStGnTxq5gSFBQEFasWIEHDx6gdevWKCgowOnTp/H222+zI1V9+/ZFSEgIFi5ciJycHCiVSrz//vuc0XMANtmVnZ2Nr7/+GpmZmZg8eTIoisKWLVtQW1uLadOm2XwdBOE5efIkCgsLOdtCQkLQq1cvLFq0CNnZ2VCpVHj66acRHh6O0tJS/Pzzz2jRogUmTJjAdqxWrVoFkUgEiUSCjz76yKidNWvWoKysDD169EB0dDTu3r2LTz75BImJiWy1uXbt2mH79u04dOgQ4uLiEBQUZLZCWmZmJg4ePIjMzExMnToVcrkcDx48wNGjR/HGG28gODjY6c+6ObKzs3H48GFMnDgRkyZNYqvkGQaIn3nmGezZsweZmZmYOHEiOnbsCKVSieLiYhw7dgzr16+3KWXMFh/iq6++wqeffoqBAweiZcuWqK2txSeffIKgoCA2FZuvvygEkZGRrD+jq5JXU1OD7Oxss8fwvX+e4t+QDpOHEBISgv/+979Yv349tmzZgnv37iEkJARt2rThTPadNm0aKisr8eGHH6K+vh7du3fH+++/z05M1jF69GicO3cOq1atQmVlJWJjY3Hs2DFIJBJs2LABS5YswWuvvYawsDCMHz8eqamp7HoiQtlqyIEDB6BWq9lS2Ia0a9cOXbp0wb59+5CTk4OOHTsiJycHn376KXbu3AmapnH06FG0bNkSy5Ytw8qVKzFhwgSo1WosX77cbodsw4YNePPNN7FhwwaEhIRg6tSpnIec7z0TiUS87YqJicH27dvx7rvvsuXYExMTsXnzZs7ES7507doVn3/+Od577z1oNBrExcXhtddeY9dcIXgWc+bMwfHjx7F27VqUlpZCLBYjPj6eLcuso0WLFti9ezfy8vKwcuVKPHjwADKZDB06dLD6slixYgU++eQT7N69G5s2bYJUKkVsbCx69+7NjmD5+fnhgw8+wLp16/DZZ59h/fr1kMlkeOyxx9iUl379+uHFF1/E9u3bsX79ejAMg19++cVkmy+88AICAgLwwQcfIDs7G0FBQejbty/mzp3LGeVwhL59+2Lz5s1Yv349Zs2aBT8/P3Tv3h1z5861mP7Bl71794KiKIwaNcrk971792bXZMrIyDB7f8LDw7Fw4UJs2bIF48aNg0ajwccff2yyE2aN4OBgrFy5EsuWLcPVq1cRFRWF119/nWNjaGgoNm3ahOXLl2PWrFlo1qwZsrOz8e233+LMmTPsfrbY1bFjR3zyySdYtWoV5s+fD4ZhkJqaim3bttk1b4UgPG+++abRtg4dOuDgwYNIT0/Htm3bsGnTJixYsAB1dXVo2rQpUlNT8ec//xmAdlRj/fr1WLJkCebNm4ewsDBkZGSgRYsWWLBgAXvO1NRUfPLJJ1i+fDnKy8sRGRmJXr16YebMmew+kydPxm+//YbXX38dNTU16N69u9F6YTpCQ0OxY8cOrF69Glu2bGHP2bNnT3akxdnPujnatWuH9957D++88w5mzZqFmJgYTJ48GWfPnuU8Szr9fO+99/Dpp5/i999/R5MmTRAXF4cnn3zSaN6hNWzxIVq3bo2AgABs2LAB9+/fR1BQEFJSUrB161Z2TiNff1EIunXrhh49emDlypW4e/cu2rdvjy1btlicosH3/nmKf0MxDMO4tEUCgUAgEAgEAoHg9fTv3x+PPfYY3n33XXeb4lRIWXECgUAgEAgEAoFAMAPpMBEIBJ/hww8/xNChQzFs2DC8+uqrRoVPlEolZs2ahUGDBmH06NH4/fff3WQpgUDwdIieEAgEHaTDRCAQfIKSkhJ8/PHH2L17Nw4ePAiNRoOCggLOPjt37kRoaCi+/PJLZGZm+nwKAYFAsA+iJwQCP44dO9Yofvukw0QgEHwGjUaDuro6qNVq1NXVGS16eOzYMXai/JAhQ/Dtt9+CTOMkEAimIHpCIBB0+GSVvLNnz7KL+NlKfX293ce6C2KzayA2O0Z9fT3S0tKcdv6YmBhMnDgR/fr1g7+/P3r16oXevXtz9ikpKWHXiZBIJAgJCcGDBw/Ysrim+P7Mj1DTvu8EMQxj86LPdrUDgGYAsR1NaRgNbtVcBwOa3UZBhPhQOYL8pBDV10BVqwQj4VanqmPqcEt5B7TecdpjKbT3bw0xxHZdSeCdPyCqqwft74/aFi0AWLqohv3rG/Zvbrg/g8A//oBIae57LiKVEk1+f7QIZU3LONB+UjAMDYoyFQu11r5nI9KoEVh8CxTDgKEoKDt1QtpjjzmtPaIn9uMNWkLRGsgqr4PS0wQGIpSGtENgYACklAZMfT3UdSojPRHTdQioucM5Vns8hTEyzK4AACAASURBVJqg1mAoW/XEVi3RO8YteuLdWgLYpyc+2WHy9/dHYmKiXccWFhbafay7IDa7BmKzYxiuFSI0FRUVOHr0KI4ePYqQkBDMnDkT+fn5nNXrTUV/rb3Y1TQDKqSF4PbaAs0wqKpTIzRA4jRH5NbNm2jdurVTzq2DZhgs/eIart6vhrxpEBYMbg+RDdfzq+IsZnw3FTXqKnZbgDgYm57ei+Ed+kBS+D1K79xBQBy3lG2ZSolB30xEPaPkbA+iArGz63qkhXay+VpEijJEjxkDSqMBIxbj3p79oCPML+RttP+ufYBIBDo8AmAYREx9GdLLF0EBvM4HsT9ipk4FVV0NJigIJYe+BCDCzVu30bp1K+6+NA1ReTno6FiIKsq1bfJ1cGgaovIH2mP0/1bmtjsLkQgR766E9OJ5KJM748aO/zi1OV/VE6IlWoJLzqLDwanwUz3SEpVfMIoHf4yobv0g969DfdE13PvNWE9ESiWa5k+AiOauxUiLA6EYvB6qKNv0xFYtMTpGJELp1o+hbtNO+yzStPP1xC8QkAaBjrBBS3THGuqGq7UEsEtPSEoegUDwCU6fPo2WLVsiIiICfn5+GDx4MH7++WfOPs2aNcOdO3cAAGq1GlVVVex6Q56KzjGYtvsS3vziGmgvTvmpqlPj6v1q0Axw9X41qurUnO9phkFFrcpsWlOzoDhoGAMnhVGjeUgrk/vriJSGY4n8FaPtGopGkCgQZysvo0z5wKZrocMjoEzuDEYshjK5c0MnhOf+SSmQLc5F9LPDEZGTDZGiDNIrl7XODQBVx0Sr54NIhJKDh1H60TatcyMy8zqnaUTMmKZta+Z00LJw/k6J/rE52QBNW97uTCgKirXrcW/PfijyNji9OV/UE6Ilj6gLiYPIQEtEjBrVwbFW26YDwlHZ7VUYn5mGJri5DVfRcJSNWsI5RiQCExiIqInj2WdRVP7A+Xry3EjIFi0AbPkNmdINd2gJYJeekA4TgUDwCVq0aIFz586htrYWDMPg22+/Rbt27Tj79O/fH3v37gUAHD58GD179nRJ6ogjWHMMvInQAAnkTYMgogB50yCEBjxKcjDlzBk6PeH+kXjt8XfhLw5AE0kw/MUBmNJpOcIDoqy2Pa7lKPy96SRIKT8EUYEIEPljTPNnMOSHTLzwv+no9s1I7Lv7Bf+LMXzh6kdLFWXGjoTe/uVLlkF68TwojQbSi+cBSgRlSioYkQjKTsko2/Aev06NRAJ12/YAYLpNQOs86bUlUijM7mv12PIHFrc7HZFIGyV3wTPri3pCtOSRlqibROLagHehkQRA5RcMjSQA1wa8i/oAyyM7Omrlo3Cj/WQwIj/Q4kDQYn9UPPE6aGkY7+eLxZyWAFb1pHTrx6Dq6jjPIh0e4TV64jYtAWzWE59MySMQCI2P1NRUDBkyBKNGjYJEIkFiYiJeeOEFrFmzBsnJyRgwYACee+45zJ07F4MGDUJYWBhWrVrlbrOtonMMdKkn+o6BKVyRcmMvFEVhweD2Ju0zdOYqalXIO3nTKOVmUKuR6BrTB3eri9EsKA6VdUG82x8VNhjjOmaguO4OgkSBGPJDJuroetQ1fP9q4TL0kT2OpjWwnB6il0LCSXNpiJbq0jwUa9dzI7W6FzTDQJncmd2PjoiAYu16+9JSDNq8OXse10ZZuF5bKZAtWgDppQum7TM8dUMUm7WzIUptbrsv4Yt6YquWAJ6rJ0JoSVnCSFTE9UFAVTHqQuKgbhIJVNRZaJXL/RaDENzlWYgf3oEmuDloaZjx8w9Yfq7NaUnDd9b0RN2mnfGz2NCZEkxP9G3kPPvC6Im3aAnpMBEIBJ9hxowZmDFjBmfbzJkz2f/7+/tj7dq1rjbLIXSOQUWtymqmuKN5/a5ARFEIC/Qz2m7ozFGAUTTc1HG2EikNR6Q0HGcrL8MPYui7R34Qo2LpK0g6dZ3rAOjn2DMMImZkQ3rR2EkwFS01OW+AoqBYnQfJrSKo49tqHRqKsjpvwRSGbfpVVRo7WqvzIKqsABgG0RkjONFhiCjzTpU5x8sRh0woXJBO5mt6ot/JCPYXo9JKR8jT9UQILVE3iUQdoO00AQD4B2AAbXoeHRCutUdRZjT6Ilu80HwHimHY51TVMRFl6zcD4kcFI3jpie5ZVCi4U4l0wRkbMdKTinJEzPgn5xp0z75QeuJ2LaFpQKWyuhtJySMQCAQHsZYvL8T5Vx8vwvQ9ly3OPfDmlBudM7c+IwkLB7dHWKCfyZSbL27tQ8ahHphxYgwyDvXA6TsH7GovLqA5VNBwtqkYNTr8dI2bHmKQYy8qLYX03FntPud+1joJDXDnIqRonXrDvxVNQ1RaioiZ07XzDmZMM523by4Vx3A3g/kPqtAwY0ersgJ0RCToiEiOfbLc1xE96hlETJ9qfu6AubQVF6bHGUHTwNWrrm/XRThTT0QUhSB/MZYctj6XyVv1hK+WAEDkL/vw+Ic9kLhnDB7/sAda3bBPTwDjZxEUDDpQZVwt0etg+V26iIjslznPof75VB0TtfMPOQ0+0gjZ4oWIzhhheh4QTy0xfQ2Uccpcw7PP0ZOkZMj+MU+rJ5bmIpnSDTdrScSMacD581Z3JSNMBAKB4ADOjsLSDIMlh6/hWmkNAMujLeZSbjw1rcYQw4ixYcrNg/oyvP2/OajX1AEN8eD3Lr+GZ1L+DFsjw5HScKxMfB2vFi6DHyOCiqKxsuM/ENZ2Hxi99BDRAwXXYaiq4Npc8QB0ZCQ7SqSL9soWLUB0xgijkaqIGdmQXjgP0DQowHTk2Foqjj6GUdtbxcapL2EyiBRloMMfpf5Bo0H0s8O1Npw/q/0+qqlN99BdiMofAA8futsMp0D0RBisaQkASGrK0P7oHIjVdexYc4/Tr+F6z2GAf7DtjZoYOdZ/DkGJjOYuqjomwu+StpqdtPASRA8UoCOjOOeLmPY3SAsvI2LGNGMtuXhBe47Cy6Bo2lhPbNESXZt6eqK6ecs4ZU5vxF2rd2UIX/Aa/Aovaa/jwjnzo+sehi64xKczSTpMBAKB4ACmorC2pI5Zcz6q6tS43uDcAEC7yCZm5x6Yyuv31LQaPk6XodNzt7oYYsoP0EukE1ES3Km6BcD2MsYjowfimXc+wx93LqNF804Qpw+CYu0gTnqIYedD3aYdlJ3TIL1wTludKiuT64iIRICIgvTSBaNUGpFCoR2dgrZ6FSMSmczb553axx5gkH6j7/SEyRAxczrHYaIjIiEqK+Oew+TaTZ6J1mlTWt/RCyF6Yh/WrttU+l5AVTFoipuYqxFJ4Fd+C4iwfakB0DQiZuWYTF8zOV8nIgJl6zcjYuoUSAsvaUeKFi3kpvlWVkD6S6FRZ0hfS/wuXYSyUxKkv1wx0hObtQTg6olhQEYvjVBf9/yuFLK6puzYyaPnIumj03c+o1ukw0QgEAgOYM9Eah18nI/QAAkSooPwy71qxEcEIndwO4tRXUPHwFEHzBmYum6drZY6UPaWFTeHqPwBmv1UiJYaGsydQtxrcCbMdj50E6rzNkBSdANRE8ebdETMFkUwuKzS97eCjjCu8OdwUQW9CLDRCBl7jRFQpqaxc7FoC4utehwUBcjl7rbCKRA9sR3D6/7HoHaortdYHQEzVVpcTKuhktmvJ6aftUd6YjRfRyxG+Vv/RPRzIxzSkvKlyxtGubmBD6ELtJi8Rr02VB0ToeBblc8TaNB3yKxnKJAOE4FAIDiApWpN1uDjfFAUhX8Maoclh6/hemkNlh25YVNU1xEHzFnwrWJliK6s+PL/zYGYkkDDqDE5kV9ZcVPwdiYMR3DMVafSYWZyMx0RqR2dungeyqQUhK5ZbTpVRsAqV4o168w4XBQUaze4Z7K1EAtVeotDZiNET2zH8LqXHL6GG2U1VkfAdKXF2x+dA5qSQMSo8f0TyxEeFAWAf7U8Hbz0xEQxBjoy0jEtSe4MOiLSaCQZIpHjBVr46Im7i8A4qiciEeBnvdPv/l86geBD3K++j6LyIsTL4tE0yDvmAxAcx1y1JkvQDAOGYXg5H9X1GtwoqwGDR45QSICEl1PliAPmLBypiOdIWXEjHHnRWzvWVJWqhtEpbYUpIDpjuPlUGTurXPlVVXIjwBXl5u20sw0O5pwVC9ttmlPRCHG1nlTUqiCiKF764Ol60i6yCa6VcrXS0r00LC1+SxWEcLN7W8FePXFQSyyNJJs9nie89UQILQFM64alDpEL9YR0mAgEgdhxYQey9mdBIvKDmlbhgxEfYEzyGHebRXASjkx81k8h6RDVBHnPdoIs0M/seQw7GMH+YpvmEdjjgDkTQ6cLgE1R63D/SIT7a1/OlXW2R4I5OPKit+dYzlpMKY9S4gyj0XZGTVWhYSYjwE6ZgG3OWbHgxNg1p6IR4C496RDVhNforj6erCch/mIs/fK6TSNg6iaReNik4TdowzpMJrFXTxzREuhGt3xQTwCLHSJX6gnpMBEIAnC/+j6y9mehVl0LoBYAkJWfhYFtBpKRJh/E0YnP+ikkv5bWQERRNo0SVTphHoGulLGrosZ8qlj5NAzTUPmBefRPL6Jqd9TUXLRaiDQ4A8w5K5acmMaw6K2tuFNPGIbB9D2XBZ+T5OpKevp60ui0BPBZPQFgsUPkSj0h4+AEggAUlRdBIuK+ZCQiPxSVF7nHIIJTcXR9El2E19S6IObQOQRUQ+qMrcdbgmYYvH/+odV1WYTEcK0Z/evzWmxY70RU/kBbSY+mIb10gXUO2O9MOA68MVzXxGAtKbNrpNh4DYZrtuicFXPbAbAO2L09+6HI2+Czc5FswZ16YmmNInvRdQDdpSc+oSUA0ZPwCMtaArhUT8gIE4EgAPGyeKhpbrUdNa1CvCzePQYRBIMBUGkw8uLoxGdH5wEIPY+gqk6Nm5Vql1W+8tTSxA5hYxTXUmTUJZWtZOEmo8aOrNnCnseeORmNBA0DiBmG88y6U0+cMSepWsW4tJIe0RM364miTPtMOzpf0YxuWJ0X5iI9IR0mAkEAmgY1xQcjPkBWPncOE0nH835KazR49ctLnBexEE6Go/MAhJxHEBogQetQCW5Wql1S+coTSxM7is259JY6FQJXnTK1kK0pR8bhNVv4bLfZeOFTf9zJ3Yca/Pvbaxyn3t16IvScpGA/yqWV9IiewH16kpQC2eJc4eYrmtIND9ESl3WYTpw4gWXLloGmaYwePRpTpkzhfL9161bs3LkTYrEYEREReOuttxAbGwsASExMhLxhzYXmzZtj06ZNrjKbQODNmOQxGNhmIKmS52MoNTD5Iva0ic867Jk7QFEUJnUORkRMLEIDJCZH1YTEE0sTO4pdUVxLjoCQUVOKgmJ1HiS3iqCOb2t+vRgTHSuRokz4zgpfx8UHK+qZq97ma3qi3wEkemI73qIndKiM5xpSKcZzq4TAhVrikl+VRqPBkiVLsHXrVsTExOC5555D//790b59e3afxMRE7N69G4GBgdi+fTtWrFiB1atXAwACAgKQn5/vClMJBIdoGtSUdJR8DKkYgub3C4UpR8aR1BSdw+aK9BZPLE3sMAJHcQWFphExK4fn2kwN1xAmM72uixC28HRcfLGiHgXv0BLddqInbsJb9CQpxXx1Pt01KBSQLVqA6IwRXq0lLnliz58/j9atWyMuLg4AMHToUBw9epTTYerZsyf7/7S0NOzfv98VphEIDkHWXfJ9opqIsT4jyaNexOacECFSU1yV3uKpEXWH8NC5OUbOAo+1mUSKMqd0VmxxXHyxol6zYDEWDm7v8VoCCKMFRE8cwBv05NIF3Nu1z/QcJkDbgRFR2oIUXq4lLhnbLikpQbNmzdjPMTExKCkpMbv/rl270LdvX/ZzfX09nn32WTz//PM4cuSIU20lEO5X38cPt3/A/er7FvfbcWEHWq9ujQEfD0Tr1a2x4+IOF1lIcCUU4HEVl8xV1RKiep7QFfh8DpqGqLQUorJSXpWfPAGTlab0K1+ZqGRltTqVkLaYwwcr6okpeIWWAERPXIIv6ElklFEVPX098RUtcckvlzHxIzAnGPn5+bh48SK2bdvGbvvqq68QExOD4uJijB8/HnK5HK1atTLbXn19PQoLC+2yta6uzu5j3QWx2X4UdQrcrrmN2CaxiAiIQMHNAiz8cSHElAQaRo03u72Joa2GAuDarKhTYGLBRNRp6qBbd2nivolopWqFiADPiYJ6yn0mCIu5nH0hUlN8Mr3FGjblwWdDeu4sAEDZOU378uWbXuKuAgaW0nvMpbU4KyXI1vN6aJTdV7A0/4foiZ0QPTHSE1/QEpd0mJo1a4a7d++yn0tKShAdHW203+nTp7Fp0yZs27YNUqmU3R4TEwMAiIuLQ/fu3XH58mWLHSZ/f38kJibaZWthYaHdx7oLYrN97LiwA1mHHlW1WzVkFXL/l9vQCdKS+2Muxvcej6ZBTTk2/3D7B/iJpZx9/cRSSKOlSIz1nL+FJ9xnHd7ccXP1IozWsOSECJGa4pPpLeawOQ/+AnR3m5MGYs15cXcBAzPOgsW0Fmd1Vuw9r/499lKcXQDBVqx1aIie2IgQemKq5L8D7TgFW/XEk7WE77w821uxnZSUFBQVFaG4uBhKpRIFBQXo378/Z5/Lly8jNzcXGzduRGTko4uvqKiAUqkEACgUCvz000+cuU8Egj3cr76PrP1ZqFXXokpZiVp1LWb+30yIKDFnP3OLz5J1lxoPDODyRRj54DOLM7oZWxZ1ZFNAoP1dsGkgPBZydHjxSCfhrHQZ24zgsbil4T32kOfQVkprNERLfBiH9aSh5L+1RWGJnlgywoqe2LLwrh4uGWGSSCTIzc3FpEmToNFokJGRgQ4dOmDNmjVITk7GgAED8M4776CmpgYzZ84E8Kh8+PXr17Fo0SJQFAWGYTB58mTSYSI4TFF5ESQiP+jS6QDtCJFKo+TsZ64TRNZdajzocvudOWnZUpUqTxrZ8kVsmgysV/UJFNi8fdEDhdWFHD22gIG7q3HxjJQbOohQq02czPMxt0yBkBA9cR+O6omRlpgZcSJ6YgYeemKys9lUZvXULpt9l56ejvT0dM42XecIAD788EOTxz322GM4cOCAM00jNEJMjRBpaDXWPL0Gr/zfK7w6Qb607hKp9mceccNkZUfX+LC1dK8nrl7vkw6XPXnwUVGcTbwWcnS3I2EJN84TMnJeFApARBndI0MHEX7emeIl1DIF3q4nPqklgMN6wneRaaInZprmoSf2djZJuRJCo8TcCNGY5DF4tuOzvDsPvrDu0o4LO5C13/g+EB7h6KRle0r3etrq9Z7mcAmKoy94PecFDBCdMdy1c4K8GMPFLWWLFkB66YJxdNjQQfRShFimwNv1xKe1BHDsOTf4nZsccSJ6YhZeemJnZ5N0mAiNFnMjRL7QCeKL/lwuXXpiVn4WBrYZ2GjuAR8cnbRs6KxU1KogoiiEBkjMVqnytNXrPcnh8kh0zgvDeGaqjKfC6WwyiM4YYX5dFR9wEHXLFDiC4bN4u7wOLWUBoBo0xdP1hGiJFfR+5x6beuep8NUTO7SEdJgIjZrG1Dkyham5XLpCF435vgiNobOy9kQRfi2tYaOrpkawPK0cL1+Hy2dTbfjQUHlJsWYdRBXlnpcq46mQzqZN6D+L/hIR5h/8BQnRj0ZqPF1PiJbwQK+Km8em3nkqTtIT0mEiEBoxpNqfa9B3VhiGwfQ9l42iq6YirJ5UjpePw+XzqTaWMDXZuLFcu1B48rwMD0L3LN4ur8P8g7+AAVdLzOmGp+gJ0RIrmNASbx9ZdQsC64kLi7YTCARPQzeXK1ASiBBpKAIlgaTan5PQOSthgX6QNxVm5XuaYVBRqzK5OLil7+zFWvlhU6k2jQVPLfPrNPiUArcHXXS4sTjHdiKiKLSUBSAhWhgtAVyrJ0RLzNPotATwCj0hI0wEQiPHl6r9eQNCpcZYisBa+85ZaS5Cz5PwppScRjXXwN2LZhIACJtmZ4+eeJOWAN6jJ41KSwCv0RPSYSIQCI1+Lpe92PsCFiI1xlQENiRAwqb9mZpU7ew0F1c5cB6JpfQPO1aV92RMRcDtShnysfviCO7UEsB2PQkJkHiNlgBepifWUsl87LnxFj0hHSYCgeAT3LhxA6+88gr7ubi4GDNmzEBmZia77fvvv0d2djZatmwJABg0aBCmT59uV3vOjrpaO49hBDbYX8yxp0NUE7awhC4664rqVM504Dxh/oVFTFVe8pLoqS3YHAE35ch4+H1xpZ64YgRHaD2p9CItAbxQT8xVcfPw58YevEVPSIeJQCD4BG3btkV+fj4AQKPRoG/fvhg0aJDRfl27dsXmzZsdbs9cRFaIKCafaChFUfjHoHa4U1GP2DB/VNVrOPbkPduJLV2uc5A8qbSwNbzJVksIFj21hL4D0TAXwKnRZ1smU5txZFxyXxzAlXriTC0BnKMn3vZ8epu95nD6c6OvJQwDv4pygIlz7kiWl+iJd/5iCAQCwQLffvst4uLiEBsb67Q2TL2AhYq68omG0gyDt768zrb/+qB2HHtkJiZU25Lm4u58f2u2Pqgvw93qYqg1TQGEu9w+vjh9PoK+A5GUgqD6eoRcu+r86DPPdUzMOTLeNE/D2XriTC0BnKMntqbMebqeeAtOfW4MtAQUEHPhAlQpLhjJ8gI9IR0mAoHgcxQUFGDYsGEmvzt79iyGDx+O6OhozJs3Dx06dLCrDVMvYKGimHzOY+gEPazX8HII+KS5uDPfX9+xMmfrF7f24e3/zYGY8oOaVmEh1qJ95F+dbJid+fG2lra1sR1DB0IKgKJpjxm1MevIeFEJcWfriTO1BHCenvBNmXOXnhh20izZq9tXyKqilo1zgZ44qCWgKFC0Z40Au1NPSIeJQCD4FEqlEseOHcPs2bONvktKSsKxY8cQFBSE48ePY9q0afjiiy8sno9hGNy6edPiPuV6/x+X4IfqtmEI9qNw69Ytey6B13kYhkHrUAluVqrROlSCByW3Ud7wkig32ts6SqUSNxuus0pJc5yny9eKECJ1fp48zTB4//xDFFWoERcixpTUYIgNopqVqgdYfm42lEw9gDoAwJsnZ6B/TFe0LH+AeyX3wNBik+fXXqMdfxOaRqe33kDw1at4KJfj8j8WGUdbaRp+VZVQhYaZf1lXVTvejiEMg8AOcu0xHTqAZoDQa7/iYQc5fqt8aL1NF3Bz9rxH9+ZWsfEOdtgYFpksgGXWcbWeOENL+JxLSD3R1xLAPXrCR0sM971ZqUbzYAnelolQIq5CXUkJSr1VTwTQElAUgq/+4lFaArhPT0iHiUAg+BQnTpxAUlISoqKijL4LDg5m/5+eno433ngDCoUCERHmh+8pikLr1q0Fs0/I1JQ3Wwt3rps3b7LXyTAM5DceRYST2se7JIWlolaFoopLYADcqtLgoysqLBzSHtX1GvYaCxUPIBFLoVTXs8dJxH6o9atBuCwcmphaBMS1MnONt9C6tenvLCFSlCHk16ugaA1Cfr2KNmEh3GirQBOOrbZjhurNH6C2IbJ6s+im9rjwCLR21aiNmUnYzoz22hMUsAdP1hOh09yE0hN9LQHcoyemtGTRU9rRP8NrrKhV4WblJdAMcOehGiL/YMRENEF9TRVE5Sqv1BMhtAQMg18vXkSLlBTXaQngsXpCOkwEAsGnKCgowNChQ01+d//+fURFRYGiKJw/fx40TSM83HXzX4ROTRGyipQ+Qs5PsMWpCw2QoF1UE1wrrQEAXC+rwZLD13CjrIa9X82C4qBhVJzjNLQarcJaA+U37Lha61jLjxdqwrHdefj6+f885wIIhinnDvCZSl6eqifOSHPzJT0xpSUVtSrknbxpdM/0UxZbRwRC1sQPQL3ZczuKK/REEC2hKKjCZK5Nl/VgPSEdJgKB4DPU1tbi9OnTWLJkCbttx44dAIAxY8bg8OHD2LFjB8RiMQICArBy5UqXTv71pNK21hwPIeYn2OrUURSFRUPaY8nha7heVoN2kVqHh8Gj+xUeGInXHn8Xy/83B2JKAjWtxoLeaxDVpCkA53SYrOXHCzbhWNeOogygvKODYcq5A+B4B9ID1prxZD3xJC0BuHpiClfriaGWyJsGgQJM3jP9Dt2DerXz/4au0BP9NsJkED1QePxcQcCz9YR0mAgEgs8QGBiI77//nrNtzJgx7P/Hjh2LsWPHutosFmuTr11VScqU40EzDCpqVTa3bei43S6vQ0tZACiKssupE4tEWPRUB21pZX8xlupV7tLdr0GtRqJrTB+2St5jbds7dD94YWnkxt4Jx2Ze4rLFufyiqR7QqTDn3Dnk8HnIWjOerCeeoiW6tvT1ZFyCn93tG2pGZa0KsiZSk99Z0xN9LdHdH3P3TNehK1dq7LwLNuIKPRGJQMvC+T9LRE8sQjpMBAKB4CIspaa4spKUoeNRUatqmPR8yea29R03f4kI8w/+goRo7TnsrfSlH402d7/C/SMR7h+JmxV1tt8AvtjiQNiaCufoeiIe0qkw59w5UrGKcw8unNNGxyON5xA1ZjxFSwATFfbahNrdvk4zrtzTnm/NiSIsHNLBKHWOr54Yjmy5tbQ40RPrOEtPLpzTVg+9cM7ulGnvGPMnEAgEH0H3Ajd8WZuKnjoLneMhosCmqtysVNvVts5xWz40AXUqmpM+p/tufUYSFg5ub5eDYu5+OZ0GByL62eGIyMkGaFrQ05tLPdFFWBmx2GI01dzxHoPO4bPj70aHR0CZlAIGAGgaskULBb//voAnaAlgrCeAceobXyiKQk6f1tBd0a+lNezxRE/M4zN6Yq5T6YiehMnABAaCAcAEBoIOk9llGhlhIhAIBA/AlSvRG0anAbAlhe1pW0RRaCkLQEK0sf3OmkjubARfOd7AEXB0PRG3Lvyqfy0MI3xkmqJQ/sZSRD83Qrj734hwpZYAxnpy8+ZNh9qXBfqZ1BKA6AkAk50KYvVSUwAAIABJREFUr9UTZ2sJAFFFOai6Om0nvK4Ooopyu+496TARCARe3K++j6LyIsTL4tE0qKm7zXELzpwX4OqV6A0dj0mdgxERE2t3266239lYdCBszfU3k+5i1pHhk45j7zwHRzG4lvLFbwrbsdQ1Exnpvg6hC/AlLQG4euJo+76mJYCAemIudc6SHniqnrhKSwTqDJIOE4FAsMqOCzuQtT8LEpEf1LQKH4z4AGOSx1g/0IdwxbwAd0ZPhWjbW6O/JmEr1ikA/T8zTSNiRjakFy/wjoKajS47WgLc1SXEYXwtoByckG0Od3UIXYCva4kQ7bvbfsGhKChW50Fyqwjq+Lac9YVs0ROLI1VepifepiVkDhOBQLDI/er7yNqfhVp1LaqUlahV1yIrPwv3q++72zSX4up5AQDYynUMwzi9LYJpZIsXIjpjBDvvQKRQQHrurPYlf+5nbYfKCnznETgdmtaWLHfg92R0LRGRUKxdj3t79kORt8GnOjbOwh1aAhA9cSs0jYhZOYiaOB4RM6axc5hs1ROP0RLAYT1xqZY0VAwUPVDYbS8ZYSLYDEnNalwUlRdBIvIDUMtuk4j8UFRe1Kj+/q6eF2BrFNqVZYQ9qW1nYlitTVJ0A3RoGHcnPpcrRITT0ZK/QlXBMnUtFCV8ZNpTqnY5AVdrCUD0xN0YjQwpyhp+zwbOu7XLFWrk1RP0xFVaIpC9pMNEsAmSmtX4iJfFQ02rONvUtArxsnj3GOQmXJ1Xb8uaI64uI+wpbTsbNvf9wjkwgYGImjgeyuTOUKakQnrpAhsV5YUj6S5qNSKn/w1+VwrtftkLOulcqNQdC06b4EU3PAh3zNEheuJeOPNoklI4a63ZrCeOPn+epCdCpgE6WU9Ih4nAG/3ULN1oQ1Z+Fga2GdioRhoaG02DmuKDER8gK5/bUW6Mf3NX5tXbEoU2ta6Sbt0ST+jYeW3EuCECKim6gaiJ49mX7b1d+YCIcs3cGppGxLS/we/yRVCA5Ze9Wo3A4ltAXEsjB8itVfVMYSXi63H2Coyr5+gQPXEzeqMpYIDojOGerSdqNSS3igDK9O/E455PF+gJ6TAReENSsxovY5LHYGCbgSQV04XYEoU2dIbWnijCr6U1LonQWnPEvD5iLBJB3aYd92UbGcmZtO3MwgSi8geQXrkMCtrkHVXHRNMve7UaMcOGoFl1NZigIJQcPAxI9P4WHlZEwWrE18Ps9XaInngAutEUhvFsPWnQEqq6GuGBTXD/0BdcLQE87vl0hZ6QDhOBNyQ1q3HTNKgp6Si5GL5RaH1niGEYTN9zmVfqjRBYc8T0I8a/3KvG7fI6tJQFeE5kmI+DYu5lK+Q8GzN20GEyqBI7wa/wMpQdO0Gx4T2TdkpuFYGqrtZOgaiuhuTmb1C368DdyQ1V9czBK+LrQfb6AkRPnAzfzo6H64m+lohra+B34RxUaY8ZX5MHPZ+u0BPfmEFJcAm61KxASSBCpKEIlAQ22tQsAsHT0DlDYYF+kDcNgoiCyyaU69o25bToIsYUgAA/EV4r+AVvfnENtCdU6mpwUKKfHc5WwTOLiZXmTUU1BbWDphExc7qec7PZrAOlbhUPpkkTdgp56Mp/Wb6ehvM7WjXPbhqcRlJdzzMhemIjtmgJ4NF6oo5vCyYoCAwAhhIhclaO9Wtyp5YALtETl40wnThxAsuWLQNN0xg9ejSmTJnC+X7r1q3YuXMnxGIxIiIi8NZbbyE2NhYAsHfvXmzcuBEAMHXqVIwaNcpVZhMMIKlZhMYGA6CyVuVQvrwrc+5tnVCus81ZpYZ19twur8NrBb+4LFLNB4tpHDyixXR4BJRJKexEbnvz+M3ZwW6naUh/KTS/Qn1DyWKqrg6AttCW9NIFyxObPaEKnQdFqF2FhgHEDOMVWgLYpifO1hJ9ezxNT6ymhHmTngBQtWsP6YXzoBgaFGNl7qQnaAngdD1xyRVpNBosWbIE77//PgoKCnDw4EFcu3aNs09iYiJ2796NAwcOYMiQIVixYgUAoLy8HOvWrcNnn32GnTt3Yt26daioqHCF2QQzNA1qim6x3UhnidAoKK3RYNruS3ZHMXU5946cw1YsRWjN2bbxbBU01qKiDtjTUhbg8ki1NcyuacI3Wsww2t5JQzlcwdYjabCD75or+o4QADAikdWJzYJFs40uxs2RZg/n7kONV2kJwE9P9G1771wVHtQondZx8kQ9sfiseqOeXLoIqqF9a3riNC0BPEpPXPILO3/+PFq3bo24uDgAwNChQ3H06FG0b9+e3adnz57s/9PS0rB//34AwKlTp9CrVy/IZDIAQK9evXDy5EkMGzbMFaYTCIRGjlIDh6KYtpTzdTX6thVXafDG4WtY/FQH3pOobYl2u6OUslXMzCXgW4JWu98Fx0vrmpvTwHOisn7+flV7OWr/ucIo3cfSMYJVufKUSLMHw8D3taSoUoPpuy8jIdq2ogxerScWnlVf1xOnVczzMD1xSYeppKQEzZo1Yz/HxMTg/PnzZvfftWsX+vbta/bYkpISi+3V19ejsLDQLlvr6ursPtZdEJtdA7G5cSIVw6EopjsWqeRLaIAE7SKb4NfSGgDA9dIa3k6YPdWqXF1KmRcm0jj4OgCCOgrm0kn4pJnoOUK/VT5E68goA0NNpANZcp7srNTly2snCQUF39USnW00Y3vH0Cf0xMyz6vN6Yq0j5iN64pKnzdSwrLloQH5+Pi5evIht27bZfKwOf39/JCYm2mEpUFhYaPex7oLY7BqIzY7hrR23qCZirM9IsjuK6XGRUD0oikLukPZ44/A1XC+tQUI0fyfMk6PdDsO3BC1FQbE6D5JbRVDHt3Vv4QKdI1RVzd1uKUprynlyIKrrcWuzeCDNgsVYOLi9T2rJgsHtUVmrwjtf/oJbVRqbOnVET+DdemKuI+ZDeuKSDlOzZs1w9+5d9nNJSQmio6ON9jt9+jQ2bdqEbdu2QSqVsseeOXOGc2z37t2db3Qj4371fVLIgUAwAQU4/OL2uEioHmKRCIuf6oDL14qQ1D6etxMmdLTb4xaj5BOJbSi24CkpI6awNUrrUFTXw9Zm8UTElPWgryU8WUtEFAVZEykmp4YgIibWpmeZ6AmInhjiYXrC+xd548YNXLlyBTU1NZztzz33nNVjU1JSUFRUhOLiYsTExKCgoAD/+te/OPtcvnwZubm5eP/99xEZ+ehm9u7dGytXrmQLPZw6dQqvvvoqX7MJPNhxYQey9mdBIvKDmlbhgxEfYEzyGHebRSAQXISIohAiFdnkWAgZ7faaxSgNUktMOgOycNe94PlW3rIhSutwVLcRVr4jcLGnU0f0hOiJSTxIT3h1mDZt2oT169ejY8eOCAgIYLdTFMWrwySRSJCbm4tJkyZBo9EgIyMDHTp0wJo1a5CcnIwBAwbgnXfeQU1NDWbOnAkAaN68OTZt2gSZTIbs7Gy2nWnTprEFIAiOc7/6PrL2Z6FWXQugFgCQlZ+FgW0GkpEmAkEgPC7aKRBCRbu9Ih3HMLVkdR7AQFsG+NIFrTMQJnPdJGW+qS62RmmdMLdJENzZtodB9MQyRE8EsMfZeuKFWsKrw/TRRx9h586d6Nixo932paenIz09nbNN1zkCgA8//NDssc899xyvjhnBdorKiyAR+UHXWQIAicgPReVFpMNEIAiAI9FOdzhG7mjTkyez6zCM/kZM+xukvxRCmZyCe7v2gY6MguiBgl/6iQDOAseeC+cgeqAAbTg5m93Zxigt37lNDXaYvQ6hnCIzbTdGiJ5Yh+iJg/Y4W088TUt4dkJ57RUQEIC2bdvabyDBY4mXxUNNqzjb1LQK8bJ49xhEIPgYpqKdfHDHmivuWudFl46zPiPJ7gnxzoYOk0HVMRGMWAxVx0RIr1xucGQuaF+4FMVvnRO+a7JYs6dhkUum4ZyyRQvtPpfpBrjrnxilCykUlq9DoOs02baQ67x4GURPrOPxekLTAMOwWtHY9MRbtYRXh2nmzJlYunQp7t27B5qmOf8I3k3ToKb4YMQHCJQEIkQaikBJID4Y8QEZXSIQBEIX7bS1NLm9jpE5aIZBRa3K4mKSQrbJpz19+C6261J0L3mNBhEzp8Ov8DKUCYkoW7cJypRUY0emIf3k3p79UORtMBkJFcz5pyiUv7EUEItBAdxzObrYowkHhXXeRCIoExIBMBavQ8hODt8FNxsDRE+8XE9KSxGRk43ojBEAw+DernyUbXivUekJHSZ79DwnpUBU8QDSC+c8Xkt4PWnz588HAOzcuZPdxjAMKIry2lLBjR39qnhjksdgYJuBpEoegeAErE1m1qWsBPuL8bBew+4jZFoJ3zQeodr0mknXhuinfTAMm7qh6pgIv8LLoGga0l8KIaqsMJ/HbyVdRchSuXRkpPG5KqocnvdgrrKVYnUeIqf/DdIrhZAtzuXOtzC4DkFLAntYtSx3QvTE+/UEGo22U3LpgnaRP5GocelJRbn2ehVlkC3ORVRWJpjAQKC21qO1hNev9+jRo3bbRvA8zFXFIx0lAsE5mJvMrO8I+EtEqFPRSIh+5BAIVTWK7yRooSpVecWka0MMctvLF7/JvuT9rhRC2bFTwxyDzuyL1q7qTba+sC3l7ps4l19VpcOLPZpzUESVFfC7Usie+96ufEBE8bbNZnTXHiaDqKK80XeWdBA98W49YQDtSK2+829vNThv1RNK21HUnRt1dSjd+jHUbdo5R0v0rz3MvsJxvDpMsbGxDW3RKC0tRVRUFEQeVhuewA9SFY9A8Bz0HYFalTbFWd8hEKpqlC2RXiHa9IZJ14YYRkFBgfOSV6xZ98hpZxjtpGh7X958nSM+E5QNzqUKDXM8GmvGQTFyfCIjLV+/IyWBddd+4RyYwEBQdXVsNTFRZQUQEWLfeX0Yoieeg2U9SUH5G0u1zwZFOV7QwEf0xGRnydZrNIdJPUlB+eI3tcUteKQb8vrVPXz4EEuWLMGhQ4egVqshkUgwdOhQLFiwACEhRLS8CVIVj0DwHPQdAV1EmI9DYK3ylOH3Qq5xwgd72nN3qWRdUQe/Kw2jSBGRRi95OiLSoSpLtmLXoo9CRZxNOSguTI1jr52mgepqdl6FrpqYYudOoFMnp7XvjRA9MW+zq+GjJ9odiZ64TU/OnUV0xggoU1JR/vGHVs/Bq8O0dOlS1NbW4sCBA4iNjcXt27exatUqLF26FP/85z8dvAyCKyFV8QgEz0HfETCcc2AOa/n85r4XKrrMF1vac/scBZp+VNShYyco1qzTvrxNpN0ZV3gq0zoDQr/wadp4XRa+0V0hI872ntsWTDhZbPS5ISKMujptNbGGuWSorhbWBh+A6IkWr9WTC+cgKbpheaTFTnt0i+DaNVrko3oCjUY7L/XieV6n5dVhOnnyJI4cOYLAwEAAQJs2bbB8+XIMGjTIzqsh/D97bx4mRXnu/X+qepmefV8QhgGGxWHVoCa8SshRUc/rhorJy3UlR+MWI7gcJUZEFJUtiTECaiIeoznmfT2/E9ck5EQTNKKGKHFhkG1AnGEAGWCmZ5oZpqeXqt8fPd1T3V3dXb1Oz/B8rsvL6aquep4qqr59389z3/czWPir4t34RnAOk5hdEgx19u/fz7//+78HPre2tnLHHXdw/fXXB7apqsrKlSt59913sdlsrFmzhilTpgxCbwfQGgLFubFHFmPF8w/FeH+jfbb3tXOkp5Wa/FpKc1L3I6sdfbTu2eULvYvwIx4URjJlKqUPLAmMIsc0EIzm5AQZHgPrsqR6BDahEedUE8nI0o4+++9XSelA4nxBQVq7JfTE2P5sZLD7nJCebN+GarNRccN1adSSgZDWdMzoDCk96eyk5MGlgcEoLLGfD0MOU05ODh0dHYFcJgC73Y7Vak38ogSDhqiKJxiOjBs3jjfeeAMAr9fLN7/5zbBBnc2bN9Pc3Mxbb73Ftm3bWL58eVD1TyMMdqhHrHj+oRjvb6TPbx14nTUfL8YkWfCqbpbMfIy5o+elpH2t0eKa1IBSUhr5y/4f3o4OSu7/MZZdO4LK8EY0ECLl5OgYRsGGR/+6LMnmTUW77lRUn0qQqEaWZvTZ//+OJ9ZjPtAMEyemtV9CT4ztz0aM9jld996/ppFvUGVa9PdKkuh4Yj1lP7gJa9PuNGtJo89Z6g8tPqX1pLycjrVPYj7QjGeMsXVmDT358+fP54YbbuD666/ntNNO4/Dhw7zwwgt8+9vfTuyKBINOZX6lcJQEw5YtW7ZQW1sbNMgDvoqf8+bNQ5IkzjjjDBwOB0ePHqWqqsrQeQcz1EP74x4tnj/T+QWpIFaf7X3trPl4MX1eJ+AEYPXHizmrejaQn4oOBJXMLrtjYfTV52UZZAnrnl1IgAq4T2+IbCAoCubm/b61RkJycvyhMkG5UqGGR3FJ5FCXZBLGs6Bcd1xGlqJQdtftWD9v5PjLL2csh0noyfDSE0jzvVdVkAiE4fk+Ry7uIDu6sO5rSo2W+J2h/nZ0369ooXOnip5otMQ1dTqd/++3Mc9tyGH64Q9/SFVVFX/84x8DYnDTTTcxf/78uC5EIBAIMsHGjRu57LLLwra3tbVRU1MT+FxTU0NbW1tUA0dVVQ60tABwwqUEhXrs3NdMoTX9FUMVVeU/GrtpcXioKzJz0/QCZEmiM8ZxsfZrcblctPRf52Ci1+cvunchqaagbZJq4tN9WykwN1BocVHozSev087RtqOoiknnLP5rPKC7z9LVSfWuXUiKF8v2Rg43NjLhqbUUNDXRPXEiO+9/KHj0VlXJnTiJgj176KmvZ8ePH4ADreEnVhQmr3qYgqYmvDk25N5elNxc5L4+uidM5MtOB5PvvWegnaXLQZZpuefHWE44cBcVY9mxg+rtjQN9+/xz3MUlQef299Hl8US8xqicSHFOkKIE+h/LcNJeq+497MfS1Rm4D3R3p7a/URB64sOonmSLlkDkPke6921OsJfItMkOnG1tHE9AT3zP6fbg97WwKOxdDehJqrTE0Q32LqaseIj8L76ge9Ikdt7/UNj7pX2PTlU9Cb0HeGIvqmzIYZIkifnz5wsHSSAQZD0ul4u3336be+65J2yf3irxsUZMJUmirq4ucPzE/QOjklPGj8nIiGtXr5sWxw4UFVocHsqqR6Y8Jr+lpYXa0aOzciS5qK8AtckbtE2VvJw5/mwcznyqq0upLs/H3F6Kt7oXW+1o3fO0tBygrk5/H2ot7mm+kUn31OmMqh1F4d4mJMVL4d4mxhYXhoXI9DzzHL39o6l12vulGaWV7R2B80iuPo7/5kU8dWMDeQdj249TuMcXilO4ZzdjC/NRKkJm/1U1qG+nTZsGkoTc0R7Wxy9P9ES+xkyRrspfmn+jdOcw+RF6Ej8tLS3U1dUNerhhNCLe+y4npaWlVOfk0nfyBHKnO349CdGS06ZNC9IBPT1JhZbUqSrlt92CZd9en5407dHVLb3+nXJ6EnIPksphev3115k3zxcf/vLLL0c8gXCiBAJBNrF582amTJlCRUVF2L6amhqOHDkS+HzkyBHD4TMweOEpmcgjGPTKUlEozSlnyczHWP3xYkySGa/qYcnMxyjNKcfhdKamkdBwEogd2qFX4Sn0x33tk0H5DP4KWIHjpJCcg66u8AIPRtdFKi0zNrKb7LovMUhb8rfmPjBhbPLnM4DQk8TIZj2BNN97nfc1ZqiYUS3R5Fp6xowLOk62d/gWlsYX2uea1OD7wx8SGKV/cIrpiY7exyLiW7Jx48aAw+RPfAxvTxIOk0AgyCo2btzIpZdeqrvv/PPP57e//S2XXnop27Zto7CwMC4DB1KzEGO8ZMKw6nGrcVWWSsXosZFz+L9zYe2VnFU9Oy1V8gKEGC3+AgOeMeMMLzAZ9uNut+vnM/ivr6wM14wzsH6+vb9K1r/hmjYjfBQ12XVMNFW1yu5cFH20NkkDKK3J3+koQxwFoSeJEW+lukzrSZHNnN57H/qc9udJxqMnYVrS1amfa9n//mrfO/ekBjCbqbrmCv33XOhJ3FoS0WF69tlnA3+/+OKLyXVKIBAIMkBvby9///vfeeSRRwLbXnrpJQAWLFjAnDlzePfdd5k7dy65ubmsWrVqsLoaN+k2rAoskuFR51SMHhs5h9530uIo6XYwOCm444n1wZ8jhIWE/rgjgXV7f4nh7dvCR0cliY51T2Nu3k/F9/8tsC6I4VFUIz/62pHqSQ2+YhWRRmtTEf6SBcnfqUDoSeLEM4s1mHqSsVmvBPREz1GQ7R1Y+tciC9MT7QysqlJ1zZXxz8oIPYmIoXnYefPm8frrr4dtv/rqq3n11VdT3imBQCBIhNzcXD788MOgbQsWLAj8LUkSDz30UKa7NSSIZ9Q5FeucGDnHYK6nEjq6az7QHDksJGQENejHXVF8CyX29KDm5qIUl+g0JuMZW49r2oz4R1HjnfXavRN3w+TA2lGh7cQV/hKt7XTNBPW3SXlR6s8dgtCTxBF6EkyiehIW2ldcEl1P/O+dqiY2K3Mq6Ym2PQMYcvP0qp2oqsrBgwfj65xAIBAI0oaiqnT1unWT0Y3gH3WOFRLjHz2WJRLOgTByjlS0kyj+0V3VZMI1dTqeMeN8n2U5eK2m/hHUqquvoOz220BRBn7cJQm5qxPJ6fRF5TmdyF0R6nb1O1pHX/09HeufNjaKqtd2rGuZNoP2p56J2E7odUcty2ug7ZSiaZM9e9Lf3imO0JPUoasnU6b59ES7VlPoewUBLQGEnqSK0PYMPONRn5Z7770XALfbHfjbz6FDhxg/fnwSvRUIBIKhTSarQMVqK1K4STr66B897up1k+gZjYxAD+oaMDphIHr5A7FGUA3F32vXTYljFFWvbaPXErGdaOEv2opd2ra3b8PcvD9Q0CJdaNvMZFnxTJBNWuL/jtCTFBL6XkVYq0noSWb0JPRaky4rPnr0aN2/Ab72ta9xySWXJNhVgUAgGNpkMh7eSFt64SaFNnNa+7j+vZakzm0kj2IwkuIHGg8OA5EdXb4qVFpjJpYBEyv+PokY/7iqWsUT0hJnxS41N5eKG65LbQlxHbTXm6my4pkg27QEhJ6khZCKdtbPt4c5RkJPMqMnYbmmyZQVB1i0aBEAM2bMYPbs2anppUAgEAwDMhkPb6QtvSRrRxr7OJj5AIOFrkFhJCE5inGRVMncDCZDy512rNu3DSSbd3XSse4pX7GKG66Lr/+JVs2SMl9WPBNkm5aA0JN0E9ExEnoSn56kQEuSLise9CWzmS1btujumzVrlvEOCgQCwTAhE2uZxGorNDwmNNwknX3M5PUPOtok7NDSwJBUQnLSJXMzVGZbN9ncX6winv4bHQGPZAhluKx4JsgGLQGhJxmj/9nu+MU6zK0twVoCQk+M9j/DWmLoiVy6dGnQZ7vdjtvtprq6mk2bNhluTCAQCIYLmYyH12srUmiNdlQ2nX0c1HyATKL9UZ4yzVcm/PPtxsJFjIx+ZknJ3Fhok83pTzb3J6PH039DI+CpKEU8hBhsLYHIoXpCT1KM/9nuDz2TnE7jz7jQk+BzZFhLDDlMb7/9dtBnr9fLL3/5S/Lz8xNqVCAQCIYDmYyHD23LaAhLOvs4qPkAGSIsOViSDJfINfxDHe+obpILQSZy7qgj13H038gIeFJhRUOUwdQSEHqSKQLPtqJATw8SGA49E3oScuoMa0lCc54mk4lbb72VOXPm8P3vfz+hhgUCgUAQmVjVqE6pEJZBJOhHeco0kCRDFapQ1fQY/aGG0xPrkR1dqTF2ohllqRq5NnCepMOKBGEIPckOAs92/wwT/TNMsardpW0QYSjrSYa1JOE34oMPPhi+U6YCgUAwiBipZHXKhLBkEr3RUJ1ywEYrVLmmTMO6Y3tKjf7Q8rvli27FsnsX7tMbaH/qmfivL9K59YyyVOU3xDqP3j23d2R1iFE2I/RkEIj0rmmf7eISXyiakWp3/ipyKR5ESFhP4l3gNl16Eq+WSFLCM2qGHKY5c+YEvTy9vb24XC6xwrVAIBCkgWwIjznliDYaqv1RjrLmSKiBcPTlN0CWkv6hDuqmdsR0UgPW/jLnlh2fU/bDW2hZsiz+69M792DP7Pjv+SmWz5QOhJ5kmFjPrEZPDFe7668ilwrDP6iroXqyayeSovj05LYf0HLfA/Ffn965B1NPtPqdhJ4Ycph+9rOfBX3Ozc1l7NixFAyjdRAEAoEgWxDhMZldyBNSE+seZiCUlw8YMqky/LUjpiWllP/wZiw7d/hyIXbtwNLVmfj1ZWHC+KmYz5RqhJ5kVk/SoiWhC8SmQ0+Kiqm+9CI4eXJAT044Er++YaYnht6ac845BwBVVbHb7ZSWlorpWoFAIEgTkiRx/9x6vurqY2Rxzimnt5lcyDPQZipGQ6MYCCk1/DUjpvYVa6i6+vKgPuhh+PqyrGx31oxSD2GEnmRWT9KtJZAePZE72pH6+pAAFXA1TMFdVJzc9Q0jPTHkMDkcDh599FH+/Oc/4/F4MJvNXHLJJSxdupSSkhJDDW3evJmVK1eiKArXXnstt9xyS9D+rVu3smrVKvbs2cPjjz/OJZdcEtjX0NDAxIkTARgxYgS/+tWvjF6fQCAQDDkUVWXVX74I/MDfPruOklzLKWPoDMoilkZGQ0NDYPRCYiIYCOky/JWKClwzzgiUOncXR/hNzsLRXkMM1X5nEUJPMqwniWiJ3rYozkY69ER7TvfpDXQ8vQFaDyZ2fdlKEn035DAtWbIEk8nE66+/zmmnncbhw4dZt24d999/P08//XTM471eL4888gjPP/881dXVzJ8/n/PPP5/x48cHvjNixAhWr17Nr3/967DjbTYbb7zxhuGLEggEgqGM9gd+99EeFr2yk0lVmZlpyQYGLYQo2mioTjWpsrtuNx4Sky4jQ5LoWPf0wHkPtKbmvH6i5UmksxyxliwbpR5qCD0ZBD2JR0vWPQUQX4hdOvQknnPKMkqRj8fNAAAgAElEQVRJaXzFWGLpRZbriaGn5sMPP+T999/HZrMBUF9fz5o1a5g9e7ahRhobG6mrq6O2thaASy+9lE2bNgU5TKNGjQJAFsmcAoHgFCBaTL32B15RfeERsUZGM53zk06ysWJXaAiM+UBz/CEx6TL8jZw3kZyHaMeIYgxZhdCTyGSbnuiF0wHZoSdGzxnv+x/r+0NATww5TGPHjuXQoUPU19cHth0+fJixY8caaqStrY2amprA5+rqahobGw13sq+vj6uvvhqz2cwtt9zChRdeGPP7u3btMnx+LU6nM+FjBwvR58wg+izQIxHDIlZMvf8H3tHrZu3mZvYePxl1ZHQwcn7STaIVu9Te7jT0JjwExjN6DO7TG7Ds3jUkcmsSyXmQO+1Yt29DUhSs27cFHRN2vo6O4IqARsnUqPIQQehJeohXT3pc3sTX3YmBbjidogxrPQktXy7bO1DKKyKfLwv1JOLz8PLLLwf+njVrFjfccANXXnklNTU1HDlyhN///vdceeWVhhpRVTVsWzwe/jvvvEN1dTWtra1cd911TJw4kdGjR0f8fk5ODg0NDYbPr2XXrl0JHztYiD5nBtHn5BiOjluihoWRmHpZkijJs7Ls4gkxDahByfnJIH4jsiDHRHefN+xeNB9xkG+RGTmqnkrg+N4vsdUaG9AzTMj6KWV3LsKyayeu0yfTsfbJrDf24855UBTwKqg2G5w8iZqbi6LJjwo+3zRKHnogsOaU4dHhITCqnEmEnqSfWFoCsKO1E2pLqFUU1N5unK0p1hOddcaGtZ4oCqjgmjwV6/ZtoCiUPLQs6H0fCnoS0WEKzRkaPXo0n376aeBzbW1t0Odo+J0sP21tbVRVVRnuZHV1daDNc845h507d0Z1mAQCgSATJGpYxBNTrzcyGjoKPZzLBvuNyD1He7BZZPo8SpAxWVdso6XLGTByJo6biNrYlHojB4KqSVk/b/TNvOzZ5Vt8MttzbOLJT9AYHni9SABOZ/B1as6HqlJ1zZVxV+wSJcODEXqSXmJpCRDQkx63gtI/AHMsHXqiCX2T7R3DV080WuKe1ACy7LvO0Pd9COhJxLfgxRdfTFkj06ZNo7m5mdbWVqqrq9m4cSM///nPDR3b1dVFbm4uVquVjo4OPvnkE2666aaU9U0gEAgSJVHDIpmY+kij0NkUo59K/EakCvS6FSDcmNQ6TSNHW6icPjE9Rk4/CVWoyobQM4P5CVrDQwVUWda/Tv/5VDWhil2G72M23LsMIPQkvRjREvDpSfMRB/m1JYFZ66zSk2x5HwzoiVZLLHt24Tp9MtY9EcIOs1xPIr6NqqoGXhJFUSKewEiRBrPZzIMPPshNN92E1+vlmmuuYcKECaxdu5apU6dywQUX0NjYyKJFi3A4HLzzzjusX7+ejRs38sUXX/DQQw8hSRKqqnLzzTcHFYsQCASCwSIZQyXRHJ1Io9CJnk8PvTyKwUoC9xuRoaPCocak32k6pCZh5Bj9IY23QlW6QkXSZDiFhsd0PrzCZ8hEaiPRil2xjlMU5I52SpY/eEqE7Q1HPRmKWgLg8XgDs9ZaPYmLdOhJOsPO0qAnoU5Mx9onfTNo0dpIh574r60/nDqR+xfRYZo5cyaffPIJAJMnTw57qP0OldG8hDlz5jBnzpygbXfeeWfg7+nTp7N58+aw4772ta/xhz/8wVAbAoFAkGlS6agYId3hMnojzsCgJYFrjchoeQd+EjZy4jVE4qhQlZZQkXQaTokYLIlW7Ip0nP/6+nMeJDglwvaGk54MZS0JDfUdOaqealnm6B6DAzBp0pO0hZ2lS090tMRQf1OpJ9prm9SAdc+uhO5fxDdj48aNgb83bdoUf6cFAoFAkHLSXSJXb8QZ0B2FztRIsdaILM6N/COuZ+QYLQKRUkMkZKQ2HYtMpj3/Jx6DJQ0j04HrUxRfWKDJNCSqhw010qkn8WgJZGbmyaiWQLiexFMEIl16kq4FsNOqJ/E6PynWk6Br270Td8PkhKoRRnSYRowYAfgWnb3vvvt47rnnsFqtSXdcIBAIBMmRzlHoSCPOoduytfRwtCIQYIp4XMri3yOM1BpNkDZqKCRtOGlCVGKGyMQ4TzpGpoOub8o0Oh9ZiVI2vHOYBot06YlRLYHsLWUerQjEYOlJPOF7Qk8SDAvUIebcq8lk4uDBg1HzmAQCgUAwPFCB22fXIQHFuZbASG/oKLSj1521pYf9Ro6f6jNO5+ieg9EPMhKGZuDHPOJIbaxR1ngNhUTj/LVtbd+GmpuL5HQmbJykbWQ6mesTZAVGtQSGRilzpbCC/HGm/tC8wdWTlC9UPZz1JNGwwNC+GfnSwoULWb58OYcOHcLr9aIoSuA/gUAgEAwP/KO8t7+6k3XvtaBdQc8/Cu03cPyjx7LE8Ck97HdqIhgLej/mofhHM2OGkPUXNKB/nUIj5463vxEP04S7ST098bUZehlGrzcRErw+weATj5aA0BOhJ/2XkS49SYGWGHoiH3jgASB4baZ4iz4IBALBqcxgVYaKh3hGedOdS5WNGApbSXBkOezcxSXIHe2pm13Ry4PoHxGmf0Q4IeNECl7QV7Z3iBmhDJDtehLvjJHQE6EnYdebZXpiyGESRR8EAoEgcRKJzx8MgyjeilmZruiVDO0eBztd7RS4Cim3liZ2EqNhKzHC7yKFnWgNhbDSt/3HJWQ8RMuDSDbnwH+9JaXBbTyxHtnRlTXGznBiKOhJItX3hpKeyC4H+b3tyM5CFJvQk7TqyZT+pQ3KB3e22ZDD9Oc//5kbb7wxbPvzzz/P97///ZR3SiAQCBLB4XDwwAMP0NTUhCRJrFq1ijPPPDOw/8MPP+S2225j1KhRAMydO5dFixalvV/RRlsjrVOSjgToWEbTcB3l/e9Df+G2L9dgxoTnsMLjDUuZV3NRYidLtNythogjy/3nljvagw2gJNciipUHEamsdzwGUFAb27dRvujWQCWqobp2ktCT6ETTk+GqJQCmvX+h9h9rUDAhNyp0zVqKc6zQk5h60tEBEoZC44LaaPyMqvlXDrqWGHKYnnrqKV2H6Ze//KVwmAQCQdawcuVKZs+ezbp163C5XDidzrDvnHXWWTzzzDMZ7Vek0dZIhkw6EqCNGk1DaZTXCMd6j7Pws5/gVF2+DSrcvWsls8vOTnymKVlihJ2EGkBIclKJ0HFXwNKMIKs2G1JvL65pM6IaK0FtTGrAujuxtU6yCaEnkTGiJ8NNSwDoPk7Ouz9BUlyBIgDFW1biGnF24jNNyTIk9OQ2rNs+A8A1/Qw61j8d1fHRhvmhKFmhJVEdpi1btgCgKAr/+Mc/UNWBtL2DBw+Sn5+f3t4JBAKBQbq7u9m6dStr1qwBwGq1ZmwphERnbiIZMulYTFKvrUKbOdCn4Uqz4yAWyUSvZpsFE63OrwbPYQL9MDa/QxIaqgPJlfyNswKWdnSXnh5ji8Zq2wi5rrSsnaSqsb+TBEJPohNNT9Q0/9sMKvaDIIWUE5dMmLq/GjyHCYaAnmzH/y1Djo+/DXsHJQ8tS6+WgCE9ifrWLF26FIC+vj7uv//+wHZJkqisrAwUgxAIBILBprW1lbKyMpYsWcLu3buZMmUKS5cuJS8vL+h7n332GVdccQVVVVX8+Mc/ZsKECVHP61FUDjU3RwwpUVSV/2jspsXhoa7IzE3TC6KGu3Rq/lZVlboic+BYe9shOvuP/d4kCz3jiimwSBw4cMDYTYhCaFvtRw7y0+09gc//drqVlpaWpNvJFtqcYC+RKXTl4FI8QftcqgeOK7TYk7+vyWDp6qR6eyOS4sWyvZHDn3+Ou7gk+EsnegBouefHWE44cBcVw4HWiOd0uVy0tES5rv7zRUVVyZ0wkYKmJpScHGSnk+7xEzjYehC3ozvcQFIULF2dIEm+/p/oMdzfhFAUio/nwOTJqT2vBqEn0YmmJ7UFMrfQnBXrKKWCNicUWlwUevNxenOoVj1or0xVPDTbFTw9Qk906deTwt2+InEnJkzky04HloOHfO1rnxNF8fWroBBL9wnf/nRqSX+bRvQkqsP09ttvA3Dvvffy05/+NHWdEwgEghTj8XjYuXMny5YtY8aMGaxYsYINGzZw1113Bb4zZcoU3n77bfLz83n33XdZuHAhb731VtTztvUo/Oced8QQtq5eNy2OHSgqtDg8lFWPjCsM5dG6zCVja9tyOD20fDDQb7eUz6S6urS2n1G6nJSWljIxJ5dfnrmEH366GhMyXknl8YalnFEzdfD65s8Pqh2Fe5pvpNc9dTqnTZuWdFJzS8sB6upGJ93Fnmeeo1cT4lOy/EG+dudt4XkECYTbxEXo4puKgrl5P8e73ak5fwSEnsTXllZPWruVuPud1XQ5qa4upbo8n8JiK65vLcH6zmoUZGRJxTFrKSPHCj2JRs8zz9Hrz2EqKeXM0CIUspxQKHBc6GiJ3GkHFTpOdMQ83FAPTpw4obs9E8mNAoFAYISamhpqamqYMWMGAJdccgk7d+4M+k5BQUEglHjOnDl4PB46OqILpcpAyIkeya4forcmSbrQthXa7wLL8BgN1uPakRfy3tj1rBv5IG+e/QJj8kbR7op/jRBdQtY/MfL9sjsWUnX1FZTdsZCOJ9Zz9NXf+5yMaM9AvO0kiz8Z3WQCOTznIfA1TbiNNnQvKkavRVEou/02qq66nLJFPwSPh7I7FlLx/X9Le+K30JP42tL2u67IPKzDfL3jL6T1G+tpmnwP9jk/wTXi7NSdfDjrSUUFSnkFclenrp5oQ4Glnh4kRUmdnvjv01WXU3brzeB2B+5byYNLoaAg5iUYeqI//PBD3e0fffSRkcMFAoEg7VRWVlJTU8P+/fsZN24cW7Zsob6+Pug7x44do6KiAkmSaGxsRFEUSkujx51LRDdchmo1KH+/u3rdSEDn0cMxj8n2tV+iUW4u4mDPDhZufRgLJtx4k6uWB7rldWMZ8mEVphxdsZOYI7UTOmKaJqIleQf2bfsUIHaeQRz3TO5ox9r4mc8Ra/wMc/P+wAKZKEoqLzEMoSfxIUkS98+t56uuPjydR2L2eyhrCUCufTuj9mxA2m0G1ZtcpTw/p7ieaLerNhv09qZMT+ROO9bt23xO2M7PKf/hzVj2Nvk+79gO48bF7HdUh2nt2rUAuN3uwN9+WltbOe2002I2IBAIBJli2bJlLF68GLfbTW1tLatXr+all14CYMGCBbz55pu89NJLmEwmbDYbjz/+eMwf65oCE8suGh/1e7IkUdgfljLUDID177XQdKyHuiIzj9apEfMOEi1NnC2GUbvHwaqjv6JPdeGvdZZstbxI5XWjEbXCVASDRbedSAne6SBakrd/n5GSwf3hdAHDRXMt+ucOvh6lZODeGRkRThahJ8ZRVJVVf/liQEvGpF5L/McOup702qnYswFZcYHiq76Zikp5p7yehFb7i7acQSCcTtW9ltBzK6VluE6fjHXn50iAZd9e3+c9vqUPsMQOH43qMB05cgTwJff5//YzYsQIbr/9dgN3RiAQCDJDQ0MDr776atC2BQsWBP7+7ne/y3e/+924zmmSMDRamo51TtKNttJVi8MTtdxwIqWJs+m+HPQcw4KJPs22SNXy2l12Wp1fUWsbEdWZiru8LkQ2FqKMlOq1I9s7kioNHDfR1ovpD7cJQidfIJCfkJs7MHpcXBL5usvKcM04A+vn233fLR9YjJMJY9N3rf0IPTFOurUEsue+yCeOEJbRkoJKeUJPgrcH7dfqiaoGXZtryjSsO7ZH1xNJouPpZyhf+IOB9eHWPjnglBkgqsO0evVqAM4880y+/e1vG7wLAoFAcGoRjwGQqRHSWO0oqoqqqoFyw7HyDhIpTZzs+i+pvFejzJW48QZtc+Ol1jYiaNtrR97knl2rjIXtxVleN4COsRB1dFmnnYSMq0zRn3sUMFrWPx1cqtzp5Pjz/4lnbH10Q02S6Fj3dPD9laQhuaZTPAw1PcmElkD26IlSWAOEhISqXrwFI3S/bzjUTeiJPiF60vnwo0HXdvTlN0CWYjt+JhPtT28Ivu44tMTQU+p3lrq7u7Hbg5OvamtrDTcmEAgEwxGjBkCyI6RGf/BjtaPdP6Eij/VXT6br6OGo50wktyKZ9V9SNZrc4/IiKwplbpn7q25l9bFngpyhcmtpYEYpX87lnl2rcCp9xsP2os28RLy4cAMqpsES2k6ixlUGCM09kjvaUcorgq7PM7bemKGWyP0d4gwlPcmUlsDg6knzEQf5FhlZ8mLOLeX4pFso37MBSR7IYfLPLslOO6bur/AWjECxFscX6hbv8x7BGRvOeoIaso5UeXniOhoHhp62L774gnvuuYfdu3cjSRKqqgYe8F27diXUsEAgEAwXjBoAyYyQxvODH6sd7f69x08iS5Iho8VfFcsoySSwJzuaDLCjtRNqSxg5qp5K4OL3T3L1ua8HhdtpZ5T6VDcywX1M+SK3kUJlEjFYstWZkELDlaJcnyTR8cR6zAea8YwZl1WG2mAxlPQkU1oCg6cndcU2Wrqc7GjtZMSUESjKF3QXzaC1/iHqxo/wOUb9zpJt/5sU/2OVb3Fb1Ytj2p3pC3WLVvBgOOuJLEfPqUyTnhjK6Fq+fDlf//rX+eijjygoKGDr1q185zvfCayALRAIBKc6Rsr5JlMyWO8HP9F2ki1dHA+JljkuyDFRX56XcB/rim14PF52tHZySM0nd9xETN4+8ts6OaNocmBmyT+jdEI5iUt141RdQefRC9tLBr1QmYGdcvSiCUMEf+6RajLhmnEmSln/KK/e9SkKZXfdTsUN11F2x8K0V78bKgwVPcmklkBieqINGUxWT/a196CMqqdy+kRUycKJ3tygmaXif6xC9vYhe04ie/so2r4W1xkNvnchxaFuUbUEhreeRLq2NOqJoSdm9+7d/PrXv8ZisaCqKoWFhdx7771cdtllXHnllSnrjEAgEAwnQkNekhkhjSccJVY72V66WFFVVv7lC/YdP0l9RR5L59Yn1EftyPDI0RaqZkzEc+AYztYvsdWOpdX5FRZMgfA7gBwsIIFVsgSF7aXs2tKdK9C/JsmghtXo5R5FIJHKYKcieuFz2aAnQ0FLQkMGSxJcp6qu2OYLzeufta6aYUf5Yj/Kji8w18/E1P2Vb2ZJi2TixNK78JpGpPydzEjekdCTAIYcppycHDweDxaLhdLSUg4fPkxRURGdnZ0p6YRAIBAMNyKFvCQSigLxGyax2km0H5nAP/qtAvvbT9Ld56U4N7ESt36n6ZBaQt6ocVSWlHLss924Pv+U2gl1YYUgJFnmzbNfoEfpjVklLyHSmSugKExe9TCFe5vSXxo4FgbDe7I62TxLiBY+lw16MhS0JN6QwUj4Z62pLaGiezeV2x5CVSXYpuI46y5Qg/UE1Yu3cGRS1fMiku68I6EnQRhymGbOnMn//M//cPXVV3PxxRdz8803Y7Va+cY3vpGyjgh8HOs5RnNnM2NKxlCZXznY3REIBAmSihycUCIZJlmxNkkKSSa5OxI7Wjs5raCA0tNKGH3LHZi2bcc1bQaPL72fu3cHV8WbUJDmktVpyhWQO+0UNDUhKXGMrmZoscqIZHGyebYQqiWOXjcledakz3sq6EmqtcQ/ALO36Qsm/WU5krcvkPVY9M8ncJx1F0X/fCKQw6QtBpEW0ph3JPQkGENPjnbR2rvvvpsJEybQ09PDvHnzUtaRoUC6nZmXtr/Ejb+/EatsxqV4eO7K51gwdUHsAwUCQdZRkGMixyzT61bIMcsU5PhCNVJtjGTL2iSpJNVhPn4j5/MDXVR4Cpi4fYdv4dTt27g6ZwWzQwpBDBlCjBOltIzuiRMDI8IxR1ejJY1nkmxNNs8S/Eb/7qM+p2nt5maWXTwBIOWOzXDTk3SEDNYV2zjxxQG8qkxQAJ4q4SmbxLGrXx+okpdOZynVCD2JStyutizLp2TeUqqcmUhO17GeY9z4+xvp9fTS27/txjdu5MKxF4qZJoFgiKGoKoe7+uh1+xJOnW6F7j4vhTYp5cZIOmaysoFUh/nUFdv46EgbjuI6PF+fhfkff8dZX8/J7i7Ky8YNnqOU6IhsBONk5/0PMba40ND5MpE/pKgqnS6VUmtyoVCnMipw3dkjWbKxCfCFlnX1uln/XkvKHZvhqCfpCBksHVGPFBp+hzfgJA2aozSM9WSwtWSQghGHFlpnpst1gl5PLze+cSPHeo7FdZ6Xtr9E3RN1XPCfF1L3RB0vff5SYF9zZzNWOdh/tchmmjubU3EJAoEgQ/hHaJds3EOuxVekelKVLxQknspURsl0laohjyTR/T9v4v38U5T/9x9RjYB2l53PHDtpd9kjficp+o2UqquvoOz22+Kq6BSxQpZ/dFVVkTvaQVUjN98f75+OCl7gexcWbeniir92sHBLF0qUvsRzzo6+U6eSnl9Plv6pKaAnEyvzkSDlWgJCT4ziySvnL1OX4DXnoloLUS02jo29LqqjJDvtWI7vRHYKPYmXdGiJ/7xG9US8CQbwOzO9mm1+Z8bo7I/W6aL/TNoZpDElY3ApwYLnVjyMKRmTmosQCAQZQesU9XkU1lw2iVElNiRJSktuTrZXqcpKZBmqKqG5K+JXtOsz+XOb5tVcFF87MUZ7dUdkS0oNjRBHTW42GhqT5vyhTpdKo92DV4XtHS5OtLVTXJ14mWO/0dRo97DuX800NKS0u1lJJD0BUq4lIPQkHppGzGXE+Quo5xh5+cX0/PUf5GsXrdU4T6HrM3XNWopzbJr1pKPd5/AYeLezXU+0WtJo99Dp9FLR25VUO/HqiXCYDJAKZ6a5sxmzbAGN22WWLQGnqzK/kueufI4b37gRi2zG3R/2J8LxBJEQBUKyk1CnyO8sQfqMkXRWqRpOCeC66JTN1a7P5C85fveulcwuO9t46J4BIyPMSCkuCTtGkaSwMBR/aIq69klMXZ1hRkOo4dR1tIOi6nL9f7805g+VWiWml5rZ3uHi9f9eyqTHdiaV26A1mnpcoeFQw5NoepIux0boiXE8+RV4y+ugz07+8Q+p/OeiMKdIuz6Tn+ItK3GNONt46F68ejJlGiXLHwz7vl5Y21DQE7+WNNo9zCiWGf+j25POlYpXTxJymFpbW5FlmZEjRyZy+JAjFc7MmJIxeBR30DaP4g5yuhZMXcCFYy8URrAgJv6cOrNswaO4RYGQLCKWU5TNJXhDGW4J4GEoCjUrHsW2d2/QD6/e+kwWTLQ6vzLmMCkK5ub9WLdv8xWXCI3n14wUa0dkZXtHkGGC3c6iPSYa7R6ml5p5clYxQGBU1LetLOzfRGs47Rg9mSv/qTK9rIsnZxWn9t8vxoi3JEk8OauYE23tTHpsZ9K5DVqjKd9qin3AMCCangwlLYFhrifdx6nc/xtkdcDO8ztFkdZnMnV/ZcxhSkBPUKHqmiuC3jlPaVmIdgwdPfFrSadLpbw7NblS8eqJIZfs7rvv5pNPPgHglVde4dJLL+XSSy/ld7/7neGObd68mYsvvpi5c+eyYcOGsP1bt27lqquuYvLkyfz5z38O2vfaa69x0UUXcdFFF/Haa68ZbjOVLJi6gJa7Wvjrv22i5a6WuI1Tv9OVa86l0FpErjlX1+mqzK/k7JFnC2dJEBFteOcJlyPhnDpB+khkNfpsJB05V1mFvRNbU1NY3H6tbUTY+kxuvNTaRsQ+Z/9IcMUN16Hm5qLKcnCIS2ieAQRWrA/NAejILwkOQ3H5RoK3d7go7bbT2OGm06UTy98fGrPnv97gym+vwosUOD5lGMyXkCWJ4urylOQ2+I2m319YxrjKgmR6P6QQejIEsB8Md4qQA+F5uuszFaRPT5Sy8HyisLA2l0qn08uhg8fwKmpkjcgSPZElibIcGVXn2hIhXj0xNMO0ZcsW1qxZA8ALL7zA888/T1FREQsXLuTaa6+NebzX6+WRRx7h+eefp7q6mvnz53P++eczfvz4wHdGjBjB6tWr+fWvfx10bGdnJ08++SSvvPIKkiRx9dVXc/7551NcXGyk6ynFHzqXKGIGSZAKYoV3CgSpIh05V1lFWSnOiRMDM0zH80ooVVXKraU83rCUu3et9OUwqR4eP/1+Q7NL2vAVnE6OP/+feMbWB0ZMo1aSCskBKIXACOj0UjOlVgkUxRfe1rKTPXWTKf3XX0XsS4lFYnqpicZO78DxKSKuilgpzG3wGU0SnQmfQTBYDGs9KR0FoYtge3sxd+zBXTGZk/WXkd/0SmDfyfrLDc0uJawnOu9cqTVET8wq5Xfezt+3N/LxyAZ+cttPo2rEqa4nhp5Wt9uN1Wqlra2Nzs5OZs6cCcDx48cNdaixsZG6ujpqa2sBuPTSS9m0aVOQwzRq1Chf50PiEN9//33OPfdcSkpKADj33HN57733uOyyywy1nW0k63QJBEbCOwWCVDBcE8CPnzzG7uOfM8LlRn1gGbaCEm7bLdO4yR4IVZlXcxHnFp5B56N3cfq2Lymuf52OdXNjxsqH5iVpjZvA/inTfPsnT/XVjFbVge9ocgAkCISh+HMO5K5OphzYiaR4mXJgJ0e7OsMNC02+w39Nnc6+n62n1GZK6b9f1CRxPcRaS6c8w1VPpO5jYD9I+8grqGh9JbCQrYRvMVtX9Rnk730d7dXm732Nnhk3xnSaktKTkHdOG9ZWapUw+UOAFS/nHN7F0w0qqt6/idATwKDD1NDQwDPPPMOhQ4f41re+BUBbWxsFBcamxNva2qipqQl8rq6uprGxMeFj29raoh7T19fHrl27DJ0/FKfTmfCxsehwdnDo5CFG5o2kzJa6covp7HO6EH1OjkfOeoRlW5dhksx4FDc3n34zTU1NHLcFD2JkU58FQ5OhlicRjWob/PaT37Lh8/uwSibcipvVJd/jPO+FNHYWBEJV9vd04HB/ReniNcxu2o8EqNu36Y56trvswYveRhv9VBTkjg58Vg1Y9u+j6jYaM04AACAASURBVJoroiYu+0dAA6cwYFiEjtZW9Hah5KbYuEhzhT3B8GQ46QmA5/3fUvTBfUiyiQpvH6pkQdLkMamSibxdv9MNybMc+Zi+MRcGbZZDq+ylUU9CtUQt07dLhZ74MOQwrVy5krVr12I2m7n33nsB+PTTT7n88ssNNaLq1Es36pkmcmxOTg4NCdYb3bVrV8LHRuOl7S9x45+SX/hWj3T1OZ2IPidHQ0MD1513Hc/88xlWvb+S3zQ9z7O7nw17rrKpz8JxG14oqkpXrxsJwvIrsrUS1qHeZp7e8SM8qitQ0GFJ54v8LWcy00sn02j3UFb4HhdtfQKTKuH5tpO1f4JbPoGTkxrCnJOIpcf1Rj81o7R4vb7R5p4eJMCqdcZiLTxpwLDQGkLu0xtQStK0iKaYNRKkAL9eFOSY6O7zBulGtmqJ+WQ7MxwfcvaHS5CVvojfkz0nydv7e919pt6OoM8RS4/HqyfakLZoemLQSfHpyTSsn29Py3ptAbJcTww5TKNHj+bnP/950LZLLrmESy65xFAjNTU1HDlyJPC5ra2Nqqoqw8d+9NFHQceec845ho7NFrRJ+v6sE+0aTAJBoqx6fxW9Hie9/eafeK4EmcBf7Wr30R4AJlXmseziCciSlLWVsN468Dord/w7HjU4nNUiW3COL+CxI3YOTy/ioq1P4PQbQGa49XI4UlbFzQ9sCDLY4i09rh2lVekfE5ZlVEVBzc1FKS4xvt5JLMNCkuh4Yj1lC2/FumsnZXcsTLj07mATNoMnGFZo9SLHLON0K0yq8ukGkJVaUr7ndcZvWoyiSphCnSXZiqJ6UWULsteJBEjoF7foO+3sgcPiLD0ud3SE60n//11TpvmcGiN6YsRJUdWBUD//f1nw75AIYTN48Rwbacfrr78e+Pvll1+O+J8Rpk2bRnNzM62trbhcLjZu3Mj5559v6NjzzjuP999/n66uLrq6unj//fc577zzDB2bLfgXvtXiX/hWIEgU8VwJ4sU/K6Q3cx8P/mpXfpqOnQxUvMrGSlj2vnbWfLw4zFkCcKleanOqkZzdtH/1KebQn0UJVs220+F1BG32lx7X4i89rodSXIJqs/nsjvx8jv/6NyBJPoPK6UTu6tRNfE4U2dGFdc+uoDLE2US7y85njp20uyL367Ujb3L2B/P4zseLOPuDebx+5K0M9lAQi1ToiVYvet0KKgO6kY1aYj7ZzvhNizF5nFi8vYS5DbLMyWuep73u/6BKObrnUPEVffAWjw1si1Z6PAxFoeShB6DfWXJPngKy7OuLyUTnIytBklKmJ3KnHeuO7T4t2bF9ULVEdtqxHN+J7LQb2q7Ftv9NKl+dR9lfFlH56jxsX8anJxFnmDZu3Mi8efMAeOONN3S/I0kS8+fPj92I2cyDDz7ITTfdhNfr5ZprrmHChAmsXbuWqVOncsEFF9DY2MiiRYtwOBy88847rF+/no0bN1JSUsJtt90WaGfhwoWBAhDZjn9h0QJrQdjCty6vSNIXJEcqFlQWGEcbGqJCVoaJRCOVMz/+alf+GaaJlXmBilfpqISVbFjOkZ5WTJIFglZWArNkZel5aymrn4mc8wUjPz2BSw03yiyYw9ZgilV6PHRmRO7qROrt5XgefFl6kvwiM0U6uUhxJT5HCbeJO4k6BnoLXho7MLyPEUMZNaRk8eAsRuiJD61e+GeYtLqRbVpiO9GKIgWv0qYCXlMuoHLkyicpnHY+ebZiaP6/A1M/GlTZRu/Eq4K2eQtGIEUoPR46KxJwYAA1T+LEj26g4MnnsX62y/eu9+cixaUBGdQSSExPIoUsRgxl1JCKxYMjPn3PPvts4O8XX3zR0MmiMWfOHObMmRO07c477wz8PX36dDZv3qx77Pz58w05ZtlE6MKiN37tRp7Z+gzu/hFOBYW/fvlXsdioIGFSsaCywBha42BCRR6SJGVdmEgs9EZrE02+9le70sthSnUlrFQYZjX5tXjDQvGsvHDhm1hMYzik5jNyVD2nA8tOfodlnb8N+q5XUsLWYCq3lvJ/RlzGC4cGSgUvGHE55dbSgENglsx4VI/PIaiey4uX1HLrmS1YkHDtvIHHl97P1TkrgowUw4nPscJtUphEragqi7Z08am9nTHFx1l39gQqcwwYTTp9bPd0RXWE/I5ml9uR3OLBWYzQkwG0eqGXw5RtWuIsrA1anBZAMeWw57L/YI9tPN6CKqao+YycMJO+OfeR8+4aJMUdPBMlqWFrMFkPf4SqHQCVzXTNWor18EcU/2MVqmRGUj0+Z2DMXJ8Dc/Iz+CaUbH0Q6RwPXTfeQ+/UqwbedaMakEEtgQE9Odjezrfyj3P3rAmQG11PIjk87rIJUR0hv7MpuRzJLR6MwYVrt27dqrv9j3/8o6FGTjX0Fhb9j0/+A5PmAXR5XWKxUUHSJLugssAYwcbByawLEzGCfyRXlkjJaK0sSZTmWSnJs4YZMqlcaDMVYTmlOeUsmfkYVimHPHMBOSYbS896nDFFE/B4vOxo7eSQmo8yqp47z72ZlVU3YpUs5Eu52OQcHm9YGmakt7vs/NdXwb+BL331B/Z2fxlwCLq9PTiVPu7etZK9Pc384BtH6LWAw6L4tu9exbECOdgA8ecUxLh3hsJtYp1LUZA72n05CVHodKl80PVXDuR8n/d67+Prf7/KUHicXh+jhTJqQ/Cu33YvTtUV9D3DiwdnOUJPgvHrhUmWw3Qj27TEk1fOvgsew2u20WfOx2u2se/Cn9NVN4ea6pFBemK56DYOnPET7GOuRZGtKOY8FFMOXbOWBhnpAWdA9fbnPIGKHOQMmDw9yN4+iresRO7rpPOnK1AvsCCZ1MC+ou1rkftCVhQyoCeZ1BLw6cnoI39lc+f3efDQfVS/dlXM8LhIIYvWYzsjOkLaELzSd+5FUoL1xPDiwf0YesJvv/12rrnmGu666y4sFgsOh4MHH3yQXbt2Ddn1kNKJ3sKismRCCpmb9eebiBkBgVH8YZ7ahY/F2l7pRxs2EjoinIyhkMkKUEN1DZRUhfjNHT2PGtcYzGW+GafSHF+ic12xjZYuJztaO6G2hJGj6vk/jd/gorHncNBzjFHmSsrdRThbvwycy1Y7NmD4h86AfOrYiVkyAwMjnmbJHHF7XDMmmrAZI2EyUcNejBaYAI67W2i3rkXFjSqBUzEWHqfXx1q3rBvKmC/nhs08mTFhk61YMAdC94b67BIIPRksUqUl7ZPm0VU7G3vTVkonno0nb6BoglZPRo62UD5zJscaCzlx2oWYncfw2CpRzEWg0ZPC3N5wo182Yz22EzVEM1TJHMhrUmULaJwA/z7DxQz8elJSaijkLqKexKElABW9LfysZy1W+mfqvLHD47wFI3RLs7sqJ+tuVyy5lIXMPCmSCUxW3z3tD92Lp/CDoafljTfe4P7772f+/Pl897vf5cknn2TOnDm89tprhhs6ldBbWFRRvWGxrCLfRBAPoWGeqSxNL4hOqHGQipyDwagmNxTXQEmlYVZkKaWurC5su9bIGTFlBJXTJ1Ity+gV5G/7bDfO1i+prdbPYTqzaDKekDwoj+qJuN3wjEmIUbL3sRV8tmIho/vyKKsaGzbye6yvgzu27qW5q4IzS8t5clZx0POlN6qst8bUi4de44kvf40SUunLUHicJLH3sRUcPNbEqKpJlEsS5dZSHm9Yyt27VgblMPUovWEOaK6cw4bpqyi2FA2rKnlCTwaHVGqJJ6+cjtIGCvPCK8z59eSQ6huAqQTkCA5E22e78VaOiugMSCGaIamewKxItH0xCdGTzjWPYD66D8+ISfqzSL0dPLFlL3/rqWBUebCeGNES8M2k5Ta9RuH2X0No5cAY4XGKrZSuWUsp2bICFRkJla5ZS/EWj6Vr1lKKt6wMymGS3TpOqCmHjm+uQs0pSqhKniGHqbq6mqeeeoprr72WBx98kPnz5/PII4/E1dCphDa3RGvcAiLfRJAQ2jBP/8ylKCGeWbTGgT9vJxJGRnpTmVOU7SQ78p0Jw8xv5Hzl6GXkqHpyrSbd71UqCscamyi3jtU1/CcUDGzX5jBF2m7UCdAaJa+on3Hj36/CIvXPvKjBRRP8OVQuj4ya4+Vk1510uq4KLFjZ7rLTajrCtK81MPKTXbqjyq8deZO7d66kLyQszo+R8Lig4g77Boo7zKu5iNllZwcVxWh32XUd0KmFk3TvUUfIGjZDDaN6YvTdEXpijEw6edpZ60h6Ug0c3XNQ1+jXOgPaHCa/oR9tXyyCnJyTn1H1xjWoslm3aIK/qMKDXplH8PJj94CeyE47Ju8RXGc0DBSd0Jmhsu1/k+ItK5EUV3hlQTAWHqeqvog/SQ2qzOgcexGuEWcHF8Zw2nWdUE/5JP171BNbTww5TLt27WLx4sXU1dVx9913s2rVKu6++26WL19OUVGRkVOcciyYuoALx14YFj6lt00giIVemKdZtoiQzixEb6QXwkeQ01FNLhvJ1nWZ9KgrtgWMnBE5ubr/JrnjoBI4vvdL5tWGG/6ArkMQbbuRtYb84W1d+7dx0xUqTtUVyPHRhsfZvY5AaJs/S7nDug6FfwHKgp2Yy7384rZ7uLL+KtrdnYE+ANyzK7KzlCNZYzp7sarc+f/zozfz9PCEuwJl2rXfbXfZaXa1cy7nRmx/OBDp3dFzGISeZBehob6R9ERRmlB7u+nMnYDr6tfD1gjScwb8RNpnZK2hQLjsvm3wTdXnyPSH92nD48wuB8VbfaFthf3H/uzkOuzKv5Czf+tAdbpzvIGiE3JfZ5jzUvKPleE5RPjXo7PGdPYCeV6ac2j76f8vcH39M1JaJ9Rx1l2BcMbQHDJ62iGGnhh6o66//noWL17MtddeC8DXv/51VqxYweWXX867775r5BSnFNo8k7NHnh20T+SbCCKhl5/kRy/M06OI0vShOBwOHnjgAZqampAkiVWrVnHmmWcG9quqysqVK3n33Xex2WysWbOGKVOmJN2u1oAJHent6nWz/r2WsB/4oZgDkAjZOPIdbYTan7RNLUBu+ME5pRSOm4ja2ISz9UvKa8fqOg6hDoHedn/I27rmFwJ5Og9PuItpRZPCnaf+SlXbDn2Ied9SUE4GdmnD475yHw0LbcuTTRzsO4IkSWFOzL+3rqXLBsv3rg04KheWn4tTx7gBsEoW3jrnN5RZS/jMsTOikxcpxytaGJ/WoWx07OahvU/olh5vdX6FZNNf4yaVDIaeRNOSE04PhTazrsMg9GRwiKYlwU4T6OmJ3B+yd6yxiZPHwFY7ObyNEGcg0r5AyNvnL/TPOnk5MfU6eideFX58v55Ymz+k9MOlSJ6Tmn0D4XE5fUfDQtssJhMWe1NYdbqi7WvBCkUfrw2aKTM5DoJXX09U2cLxy36DmlOC5fjOiE5etHWqIt0brUNpbt9N0T+f0C09bur+CnJj64khh+nll1+mtrY28DkvL49Vq1axadMmI4cPORRFpb3HRUVBePWnWIg8E0Ei+J8bq2zG1R+uqX1uIoV5Cuc7mJUrVzJ79mzWrVuHy+XC6Qxed2fz5s00Nzfz1ltvsW3bNpYvX87vfve7pNoMHfFcOrc+aKRXgog/8EMtB8BPPCEx2TbyHWuEWmvk9NQouueYaPVSOX0ix/qdJlvtWN3vRSM05M2J7/8/3vMT8qVcvJISvj6RLDOq+nTc+yKv/zTCUhVxfSg9J8aMzINNv8ClugPb/3jsbd0++ysGft7dFF42PWQdpVjrVEXC70xd/fEPI85O1dpG0EF71POkgkzrSSwtKbKZcURxGISeZBYjs11+PelxK+xr7wk7R74lP5DnlIyehIa8Sf16UrhtAwXbX6Drfz0QtjYRsozntNN1Q9f84XF9OVW6+1EJd2CQKfrnL5A1g7vFf1+BhBoWhqcC9FcMtLQ3hZdOD+lrpKIPscL4/M5U2Vs/jFh63FswAryx9cTQk6Z1lrRccMEFRg4fUiiqyoJn/8HHLXZm1pXy0s3fQJaNOU0iz0SQCNrnxh9wd+MbN3JG9Rl0u7oDM06RwjwFPrq7u9m6dStr1qwBwGq1YrVag76zadMm5s2bhyRJnHHGGTgcDo4ePUpVVVXC7YaOeHb3eYNGeiH1iy8OJvGGxGTbyLeREWq/kbPvoP6q8fljy5MycvzhapFC3nrUXlD1K9FFKprg/06pqSjq/jAnRvViwYyL4BnsUL532jzurf8BAGd/MM8X8tdfvctoPyOF2IUSa3aq3FrKmLzCiMengsHQk1haIklSVjkMqWAo60mPWzU021VXbIuoJWazKZDn5Av1PRx3P/TC1fxIgKS4Ilah0wtd04bHeaxFuvs95ZPCHBhJ9fZX9dNoiST1F2kY2KYCPRPm0XOGT08qX53X78z49ESvr/GE2IUSa3ZKsZWCLbaeGHrTuru7Wb9+PVu3bsVutwclW/3tb38zcoohQ5fTy8ctdjyKysctdtp7XFQWGpv6F3kmgkRo7mzGKps1Tw2gqpz5zJnYTNagGScR0hmZ1tZWysrKWLJkCbt372bKlCksXbqUvLy8wHfa2tqoqakJfK6pqaGtrS2qgaOqKgdaWqLurysy0+LwUFdkxt52iM7+H3H/ihjfm2ShZ1wxBRaJAwcOJHehKUBRVXrcKgWWgfKwLpeLlijX6eeESwkyEnbua6bQamhJPzpjfyWtuFwu7G2HIv57GaHNCe85upg6upSRBaWYR1dydFsTHkU/qVuPnc59yGrse2ZSJT768lMm28YHbT+T03m17im+ch9lhKWK0r4iWloOBK4x2v4llT9g1dFfYUbGg8KdFdex9vhvovbDioUFOZfR/dUJ3b7LqhzWT7vXQY7bzPOj1nBS6WVP334ebPoFJkx48XJ/1a1cVHiefoNeBVdIBTCX6oHjCi1233WUfW1qzPuXDIOhJ0a0BLJfT4xqCQxtPbGq7qS0BOCQEzo6OgJ60n74Q7xtR1Erja8PlH9iH2XIURdWVVSJo/s+padwfPhO+XTMZz9FTt9R+nKq8MhFoNGTPVad/W0ncEz4AeOaftXvECk0j7uOMfuDtURVFEKnlxTJwu7yy/C0ndDtuxc5qK9ml6O/7dOgvx/5J/ZTt/UXKJIJWfWyf+KttFfp64nZpVCqBOuJqnhotit4enzXWWxATww5TMuXL6etrY3bbruNH/3oR/zsZz/jueee4+KLLzZy+JCixGZiZl1pYIaposAa+6B+RJ6JIBHGlIzBFfIy93p9Y6t9/VPIYqYyNh6Ph507d7Js2TJmzJjBihUr2LBhA3fddVfgO9rBHj+xRiglSaKuLrwUtZZH61K//km61lSJNKLb0tIS8zrBdw8n7h84fsr4MYM+a2QU/zUm8+9VB7R0OTncLVFaW8vIkjLKy8o5uueg4XOYreUoITM9enhRmG4tp1wO/261nM/plrGBb/o52tVOVXVVxP3fK57F/86fMrDGlLmIkaYcfty2AQsybhS+XfQt/tvxt8Dnn1TfwumWfMCr23cFb1A/f+/4gPvaNmDGhAcvyyq/x7rjLwbNqK0++iv+d/4Uys3hhaOq5Xx+Wn1LUJ+0fQBwhh2VWgZLT9KhJZBZPWk9cMCQlsDQ15NHL5+Q1H3V6snkKRMpn2PnWGMTks47Hwk5txxTyGyPSrCfIqNQlFtOQaTz2vLBNpYCQE9PdPfXzOJg2ZTA+lKytYh2Sw4Vezbgqzij0D7pFoCwbeU237us13eT6g30Nb/tAyr2bAg4Rscn3UJv6TRqty1HVlyBJbDrm36FtWwKilWnEJ0tn/ZJt0TsAxjTE0MO0wcffMCf/vQnSktLMZlMXHjhhUybNo1bb72V66+/3sgphgySJPHSzd9IKIdJ5JkIEkH73FhkM31eFzLQq4m3FYscx6ampoaamhpmzJgBwCWXXMKGDRvCvnPkyJHA5yNHjiQcPqM1QFKdO5DOSlDJJk1nU0hMoiT77xVaAWvimPHE8xRVAb8sWcJtn61Blky4FReLxn2HurwR3LdjPRbJhFv18vQZ99EwMjwJPBpKiYWq6uqY7WvXmLqR73BF30Uc6D3C6NwaKnNKebhvUdBnvb77c5i0/TzWZ2fJX58NVPADeOTYf2KRLUGJ3xbZwsmREg0lo3T7qNcnLemeVxlMPUl1HlKm9SQehrqepEL7Q5c0iLZuUyRcuUvI+dsaVNmE5HXhGfV1zAe3Qn+pcNe37qNifHxaAsb0JIhJ36H37IuQTxxBKawhP9f33oZuy9ftuxlJ8Qz0tddO3nvPIimuwAxUZdOzOC9eBabgRXsxWaiqllCq9PVEr1/aPhjRE0MOk6IoFBb64vvy8vJwOBxUVlYannIdasiyZDgMLxSRZyJIBO1zU2AtYOaGmUH7xSLHsamsrKSmpob9+/czbtw4tmzZQn19fdB3zj//fH77299y6aWXsm3bNgoLCxMycNJd2jadlaBSkQMxVJPLU4k2mbtH8pI/RifUJQrfHTOek0V53P3eMsyylaeaf8cvvvkoX9zwT5odBxlTNIrK3Iq4+2XLKySnKg4Dp59R/f9F+hza94u/Nl+3n1+1fYbZZAVlYMDHbLLiDl20V/IyYdIscqJcY7Q+0KafE5IqhJ4YQ09P4g2VE3oSvKRBtHWbIjJmPEpBHvIfl6GarJgPbUW56Meo4/4XlI7CXFBhzOAPIVE9iYsx4/F+Yz7YDwb3tfUzVLMVSTN4rJqtWKpPQwqZ5ZbwYpk8Cwri10zAkJ4Yun+nn346W7duZdasWZx11lk8/PDD5OfnM2bMmMQ6NswReSaCRNA+N9oZJ7HIsXGWLVvG4sWLcbvd1NbWsnr1al566SUAFixYwJw5c3j33XeZO3cuubm5rFq1KqF20l3atiDHRH15Hl+0n0x5YvdQG9FNVyhRKtqqK7bRfMRBfv86K/Fw/OQxFr+/nD6vC/orWt32zo9xmvO5fsZNAJwwcI4DXS2MLq6jIs+nDydyXOTlRE6AThW2nFJOL5nga1OzvaJiKp4Q50hBYfX5P2fpOz/CJFvwKm7WXfwMtpIJnIhwHbFJr8MEmdOTrl630JMMkSk9SaSdgSUN4tcTqfsYxX9ajuR1IfXP5Mp/fpST85/ENf5fDB0vd7SglNWhFgy8g5nSE3JKoXxCcJ9qplIckq4gKR66x56H+TsbyP//foAiW5AVNz3feQZ3//GRriU6KXKYVqxYEYjVfeCBB/j5z3+Ow+Hgpz/9qcGOCASCeBAzlYnR0NDAq6++GrRtwYKB8uySJPHQQw8l3U5Bjokcs0yvWyHHLFOQE+doYBQUVWXlX75g3/GT1FfksXRufcp/2IfKiG6qRt79xotezkmybfmNnEglyCOx89hu0EnTvm/TPUypmEupLfpI6ZtfvMKKD+7EJJvxKh4eOG8tF4+7hrbjPZwwhZcvzhx53H/uWla8P9C3+89dy3mjruH1a+fy1YkDjCgcTamtgn3tPRGvIxYFGbiSTOiJoqqs29yM0v9optqhEXoyQKb0JNF2jCxpEIn8w7vJR0b7ryABua/dQ9OouXjyI+tJ2eevMGbjnSiyGVnx0HzZWjqm+N7BwdWTPMouXcuYP2r6dulaOvryoO5SzAs/I6frAH3Fo33X194T9VqiYURP4i4rXlZWxsqVK40cdsqQzLpN2UK0RVMFg4OYqcxeuvu8ON2+HzSnW6G7z0txbnwx55Hwz16pwP72kyk9dyjaUdBsJBUzeVrjpa7IzKN1qq7xkmhbsUqQR8LpKsLtDS/lLUlmPvpiB/XF0yMe63C18+j7d+BSnIH860ffu4NKZtDb4eGE23ixonRQbz2ftef9jWO9h6jMHUmRtbz//piwMpb2PmjHHvU6iqzlUds4IwOD3pnghNPD3uO+RUMl4I7ZdSm1IzKlJ9muJZA5PUmmnUT1JMdZxEQdPfFIZo7u3UFHhb6e5DjbOfOPd2DyOgMFFOr+cAfbcmbQZyun7Yh9cPWk+Hy2XfM38rsP0VMwkj5bOQTujQkY65scsttjXks0jOhJ3E/25Zdfzh/+8Id4Dxu2KEri6zZlC7EWTRUIBMEU2cxMqkrPWiiJ5hjFGwISOgr6vUnZN0KcinwrrfHS4vBENF6Saauu2BZ3v2Ak/37Gw/zs0yUh272cWV1PaU7kc+7qOIZZtvgcjX7Mshmz6RjVttKo/bH3tXOkp5Wa/FpKc6IbEckxsv+/yES7jrri6Mf6wxiHOqHPXapnajKhJ0NBSyBzepJsOwnpSfFImuc8TP07S4Kq45nwUjqinsI8/XMWOI+hyhbwDryDqmxmPMfoLh4JndH7Yz7Zju1EK87CWjx5adKT4pFQPZJYKyXFvJaoxNaTuJ+WQ4cOxXvIsKa9x5Xwuk3ZQKRFU0UJa4EgMqmO2w81TuI9dyIhIKGjoD3jipO6hlSivR/J3met8VJXZI5ovAxGLsa8+u+BJPHEZw9iliwoeFky87GYjkxNfi1eNXg02at6qMmvxXGiO+Jxbx14nTUfL8YkWfCqbpbMfIy5o+fF7GezYy87Oz5lctmZjCmaEPP7Rol2HacK6XjuMq0nQ0VLUnGvjejJYOV1HZ32PUBi3OYH8coWZNXLvgsei+rIOAtrkUPeQVn14CyM/Q6W73md8ZsWo0gWZNXNvgseo31SbD2xte+lsO1TTlSfibM8dXqSzLUYIW6HKVoM+KlIRYE14XWbUk0iYXV6i6aKEtYCQWxSFbcfyTiJ59yJhICEjoIWWLJjZlzvfiRzn7XGi73tUFTjZTByMeaN+y5zRv5rXLM+pTnlLJn5GKs/XoxJMuNVPQFHy4G+w2Tva2fNx4vp8zrxrzqy+uPFnFU9O2qbP//kAV7d/0Lg8zXjrufur62I6xoTuY5TiVQ+d4OhJ0NJS5K910b1ZLDyuo5O+y4d9f9qeNbHk1fOvgse63d8zMiqJ6aTBb6ZpfGbFmPyODH168n4TYvpqp0d9dgxf3uAEY0vOBn8sgAAIABJREFUBD5/Nf16mr+VGj1J9FqMErfD9Oyzz6ak4eFCMus2pZJEw+r0Fk0VJawFgswRzTgxGhaTSAhI6CjogQPpXtnGGOmoQOg3XjqzNMe0NKc8bidh7uh5nFU927CjdaSnFZNkQbtEo0kyc6SnNeKxzY69Qc4SwCv7X+Dq8delbKYp3usQRCfS+xNPiF28enIqaQlkv5548srpjsNJaJ80j67a2XGF1tlOtKJIloCzBP9/e2ceHkWZ7f9vdXc6+74CCUEhKrKGBEFWCYbFICAElRm8CkFQQVARf27glRFmuSoiMxdxxGXunUEvDghORlABBQEREI0KKKBZQEhC9nQn3emu+v3RdKf37uquqq7uPp/n4SHdXcupt6rOe877nnNegGVUiGqrcXnuqIaz6FHxtk3IYI+Kt3F50L2CzTT5ci3e4pXD9Pvf/x4zZ85E//79UVhYKNjJQwVf1m0SslBEY2cjyv7tW1id/aKpVMKaIKTFlXHCJyzG1xAQOVa3ErMEcqjBx9HyJfztVONJl98LGZrni8NIOMeZPuEbYueLPpGjLhEiZylc4Otk+RL+Fl/rXJ/E154UNDSP77V4i1dPj8FgQFlZGVJSUjB9+nRMnz4dWVlZggsTLghRKMI6/O6i9qJfYXVUwpogAocr44Tv6KgcDRa+SFEC2f58wbJ+jL/4Ev52Y0o+r++JwONMn7T6sM5TKOgTDqY0Eo67+j8AMd/ycNInvoS/tWU61xuuvpcbXjlMq1atwtNPP40DBw7gww8/xKZNmzBkyBDMnDkTxcXFiI2NFVvOkMLfQhH24XdPDH7C77A6KmFNEIHDmXEi9egoy3Fo6egKaGcvdUl1IdZkCSb4hr/1ScjD7Gvvwz/tcpjsZ5ekq7xHeIO9PgnETIscnAdzyXYOwNkrWsEXBLYmHPUJ3/C3ztQ8XBp8n0MOk5CzS2Li9VujVCoxYcIETJgwAWfPnsWKFSvw5JNP4vnnn8dtt92GZcuWITMzU0xZQwZfC0XUa+px8tJJLNi5AJ3GTsuM0h+//SNemfoKHt39KO+wOlp/KbBQ+xOuELsSn/1vb1S0o6r1h4B29lIadmLlN8gdvuFvjw17AbP63euySp6vlfcI6ZBSl5h/l4PzQPpEfPiGv1Xe8gIuD7rXbZU8OTjbzvD66Wlvb8dHH32EXbt24aeffsKkSZPw3HPPoWfPnnjzzTexcOFCWp/JS3wpFGGeVVKAQadVjXkAUEGJYVnDUPVIFS/jm9ZfCizU/oQnxK7EZ6at04CqVkPAO3uhDDtvOlyxjCm5dvb+0Cchz2nOUpOuAb8/vgJ6Vgc+lfcI6ZFKlwCApouThfMghD4Rs/COkOcPJjpT81zOKsnF2XaGV3d02bJlOHjwIIYPH465c+fi1ltvhVrdPSvy1FNPoaCgQDQhQxE+hSKs10pyhgFGi5Pk7SwFrb8UWKj9CWvE7hQ9jX4mRKmQm6BCVash4MnR/hp23na4Yq1/I9fOXgx2nv+fq85SN54q77mDQvuEQUx94s1MSlwEI5tiC/7oEykK7wh1/lChxYd8O6nw6ikeMmQIVq1ahfR054acQqHA4cOHBRWM6KayuRJqxraoAwDEqmLAgsOawjW8jWxafymwUPsHL0IbI1J0ip5GPxmGwcLBcUjJ7BUUI5nu7gGf0BihE9vDKSynSdeAd85sdPjewHb5tPBsOIb2ieHYiK1PvJlJCdTCrb4glC4BSJ/4C8txePVAJdiry73642yL8W55JUlZWZnHbaKjo/0WhnBOn4Te0HdqAGX3d9GqKGy/awfye+TjSvUV/sek9ZcCgjlnKU4dR+0fhDgzRgD4pZil6BS9MWCCpSqWJ4MwkKWEw6mM8WVNDVQKtcMM0703LOM9O+TrorrBjBi6xLy/mPrEW2coGPSJnHWJHM4vNeYiHYCpmuGysbk+h1GKMWggWesfOHAAa9euBcuymDNnDhYtWmTzu16vxxNPPIEffvgBSUlJWL9+PbKzs3HhwgXcdtttuOaaawCYZrvWrFkjldguEXIdJU+ka4EtOzmU3Q5EGIGu2ChsmfEmJvWbBAC4Av4OE62/JA7uijjY5yyVDSvDlq+3UPsHEfbGSEtHFzYerPJLMUvVKQaDAeMN1vfgxzoNWju6kBTTHSIeyNFtDsDDY3PBAEiMjhA1ZyLQOFvXSa2IxIy+83gfy5dFdYMdMXQJII0+CVVdcrG5E9lJUZb3LtAzZeGkTwDHZ9fXZ0ysQQNJHCaj0Yg1a9bgrbfeQmZmJkpLS1FUVIR+/fpZttm2bRsSEhLwySefoLy8HC+++CJeeeUVAEDv3r2xc+dOKUT1CoOBxZzXj6DiQgsKfVxHiRcZGZibNBa3bjyEyrGD0efd3UiPy/D7sLT+krC4K+LgLGdpy9dbcGLRCbTr26n9gwR7hc4AfitmsWLfg6WT5EtClAp5aTH4sd5ULvjVg1UOxmUgDDpno5quWt7V/QmmnAX7dZ0MrAFPFbpf18kVviyqG+yIoUsA0id8MN+DH+s0iIpQ4KnyHx3eu0A5h+GmT4DuZ7elo8uv9bLEGjSQxGGqqKhAbm4ucnJMyq+kpAR79+61cZj27duHpUuXAgAmT56MNWvWgOM4KcTjBctyuPP1IzhZ3QwAOO7DOkq8YRhg/36k19cjPSPD9NkLvClZ7apQBJW75oenIg6ucpba9e0Y3mt4IEQmfMDeGAEgiGL21CnzMViCrZPkC8MwWDauDx7efkry2H4h8h3c3R9Xx/DXYBXL4C3uPRPDMsZg3b4j+LUxAV+e7olbczjez5svi+oGO2LpEoD0ibeY78HF5k48Vf4j6RM/ZRYKf2daxZoZlMRhqq2tRVZWluVzZmYmKioqHLbp0aOHSSiVCvHx8WhqagIAXLhwATNnzkRcXBweeeQRFBYWuj2fTqfD6dOnfZK1s7PT7b5NHQZ8c9VZAoC8VDXqa87jilQKpLHR4StnMpdXlWPV8VVQQQkDjPjd8N+hpHeJV6cw72vuuPjs6y2e2lmOuJP5u8bvoORsF9hUcgrs/2Y/BqUMgr5TD53RdgRVb+yCvk6P063itUMwtrPcsTdGxA7Z4GuwhEOicFJ0hEfjUuriHN6Oarq7P86O4a/BKrbBq+ISUduYA8bP543vorqhgNS6BCB9Yo+CYZCdFOX23Q1EcQ456hMpnGehnjcxZgYlcZiczRTZP3SutsnIyMD+/fuRnJyM77//HkuWLEF5eTni4uJcni8yMhL9+/f3SdbTp0+73ddoZBG761e0dRoQG6nEv5ZPgEqldLm9FNjLXK+px+rtq23Wa1p9fDXuHXOvx9kif/b1R+ZgwJ3MaZo0GD9jbb4zMiwmDJ1gabc3I950yBkbPXB0wGSWmlB13MQO2WjrNODHOg04mOLsPXUgcZFK9E2NwfkGbcgmCnsaQRSjY/fUkXs7qunOEHJ2jFY/y+yKbfAKGf7Cd1HdUEOK8C/SJ464e3fFchKCUZ9I4TzLudCFJJJkZWXh8uXLls+1tbXIyMhw2ObSpUvIysqCwWBAW1sbkpKSwDCMZc2ngQMHonfv3vjll18waNAgKUR3oFHbBa3OVN2sU29EU4cB6fECO0wsC9TXAzzC76zxp2R1ZXMlVIoIwGpvlSKCyl17wLqIhpJRoIs1YP2U9TZtRjljhC/ERSoRFaFARxeLqAgF4iJd6xuW47D2k/M4d0WLvmkxeKa4b0jlHFjjzrgUo2P3piP3xuD1ZAjZH8NfA0JsA8Qbw07uIUDhBOkT57h6d8VyEoJRn0jhzMhZn0jiMA0aNAiVlZWoqalBZmYmysvL8dJLL9lsU1RUhB07diA/Px979uzByJEjwTAMGhsbkZiYCKVSiZqaGlRWVlpyoQJBWpwahX1ScKKqCQW5yUiLU3veiQ8sC0yYABw+DIwaBezfDygUnvezwp+S4X2S+sDA2oaOGdguKnftBXMHzkVrZyuW714OtSICj+5+FAmRCZbCD4DrnDGCcEW7zgidwTR7qTOwaNcZkRjtXCeYO3cOwM8NWrfbhjJidOyeRqH5dMJ8ZhJ8ice3l8e8f1ykEq0iOB/urkfuIUDhRmungfQJD8RyEoJFn7Ach5aOLgddkhClAgeg1eo3oZCrPpHEYVKpVFi9ejUWLlwIo9GI2bNnIy8vDxs2bMDAgQMxceJElJaWYuXKlSguLkZiYiLWr18PADh27BheffVVKJVKKJVKPP/880hKSpJCbIfS4ebP/1g4Ao3aLv9LijubSaqvNzlLBoPp//p6IDOT12H9KRluva9KEQED20Xlrr2kXlOPR/c8Cp1RB53RtDaJdeEHgvCEs44yLlKJSJVpRDhS5X5E2NfOneU4tOlZcBwnyQiy2LMGYiX9OuvIpTDq+RhEruSJj1IFxPnwZ4Q+1PNnxMTZO8Z3YVB/9EmLCIa0u/OJpU/ELC0ud33CchzeqGhHVesPNrKYC0eEmz6RLDhw/PjxGD9+vM13y5cvt/wdGRmJV1991WG/yZMnY/LkyaLLZw/Lcpj71y8tM0l/LxuB37xxFCeqTZ/fvX+k/86Ss5mkjAzTZ/P3Gb6VD/cn/MvTvlRBzzn+hEIShKsOqF1nRGeXaUS4s8v9iLCvsxGW8/58TvSOT6qOVqpywHIz6jVdnFN5AiWn3EOAQhFX7xjfhUF91SfOjGyxkJODIQRy0idtnQZUtRqcyhKO+oS0jwsaNHqcqGqCgeVwoqoJP9W14atKU4W6r35pRH2bDpmJUb6fwNVMEmMqIe5PDpMZf8K/XO3rbq2hcMefUEgiuBFihNNVB5QQpcL1GY5K3tU5+XbuzhbQVDCMz+Ffvl5nsCI3oz4ugnEqT6Dk9GeEPtALhwYKf/WJO13iamFQIfWJ2ch2thisO3y5btIn4sqSm6BCVavBQZZw1CfkMLkgLU6NgtxkywxTaqxtrpLfetvdTJJCwS8Mj2WB2lq/HSxPeFprKNzxJxSSCF6EGuF01QE5U/JCjqpanzcvLYbXGhi+yCEng0AIfO2ExQojciVPIJ0Pf0borfe1brNQRYh3m48uEeqc1ufOTVChssXgcjFYIa+b9Im4umTh4DikZPZyOHaw6xOW43jnXwX3kyUiDMNg6/0jLTlMLMshVq2ARs8iVq1wcKB8OIEwM0ksi9733Qd8843PRSK8hULOPEOV8MIPoUY43XVA9h2EkKOq5vOeOleJ7F69sJTHgrC+yBGKswZ8O3ChDFS+swJShha5wlfjzr7NXp7CL7c3WBDi3eajS4Q6p/W5Fw6Ogyoxk9disL7KEO76REhn19m76U6WYNUnztrMG8Kr3AlPFAoG6fGRYBgGVzR6aPSmPAKNnsUVjV6IE3SH4flKfT1iTp60De0TiXAIOavX1OPYxWOo13jfjvb7pMemY3iv4eQshQnmEU4F4zmJ2hPmDsiT4hfynObzxqsViI9SoW9qjMNxzUnc9uvl+SqHt9cZqjgzDvli7vSX/PMHrNlzFk1avdP1DOWEtcy/+/gcWB7y2reZkWU97xSECPVu83nHxNAnPRMjneoSwLk+8UeGcNYnQugSILz0ia9tRjNMXmL/GsrmtczIgDY/H7HmGSYfi0R4Q6iHnJnzs5QKFbqMemyYsgGLCxd7tQ/ldIUvgRjhNJ+zpaNLMF3kas0VdyOYoTK6K/VaP3zCiFzJZt3p/1ivxcPbT+G69Fjcc7188zf8mcmwbzOVMjTHewOlT54u7otLLTr0Soz0+5zu1m9ypU9Il/iGELoECC994msYJzlMdrAch/o2nUPJ8PT4SNzUJ8VUJa+3qay5ICV4zflHDOPbbBPDoPrtt9E/LU30HCYgdEPOrPOzzDxQ/gDAAIsLnDtNlNMlP4qKihAbGwuFQgGlUont27fb/H706FE89NBDyM7OBgAUFxdj6dKlfp83UKEJfPKNPGGurma/5oqnTkkOYRn+EIjyuN4ah+5kM3f6P9aZ7pn5/miuTRRVdn/wJ9/Evs2ANvEEvUq46BOW47Duk/Oi6xLAvZFLuoQ/QugSILz0ia/OOTlMVrAsh/+35xLO1FeiIDcZW+8fCYWieyT13UUjUd+mw8Nbv8aoP+xz2MaHE5pKix88CHAcMHYs8Nln/HOQ+BaJ8JNgW3zVmzLolc2VUCocX4flHy3HrBtmOd2PcrrkyTvvvIOUlBSXvxcWFmLz5s0SSiQOQleHkrq6Gp+RWLFGbVmOw8XmTouRYN+OYo4We2Mc2t/j1o4uJMWY8mfNnX5rRxdetXKc4yICW3TCHf7OIgTCoA4HfSKVLgHE0Sd8n2Uxnn1PukSs8wL+6xIg/PSJL7qEHCYrGjR6nK7rhJEDTlQ1oUGjR3p8pOV3hYKBQsHg6+pmS7lx+214YS4tbo679HGhWsI13obM9Unqgy6jY16aShHh0gEKh5wuQn6YO6b4SKWghoeU1dX4jMSKNWprfdyoCAU6u1iHvK1ALMxojdm4PFNnMnQ2HKjEqsl5FjkUDIOkGLXN/amurvZ43EBeW7DPIoQSUusST7/5eg18nmUxnn1PukSs8/LBky4BSJ94PJckZwkS0uLU6J8RBZWCQUFuMtLiTN43y5rC9DiOs5Qbt9/GJ8ylxc0Plsg5SOGGdchci74NHYYOLPhggdOCDumx6dgwZYPD9yxndOkAmXO6olXRSFDHI1oVHVI5XcFKWVkZZs2ahffee8/p79988w2mT5+OhQsX4uzZs4Kc01VRBKGxTnJ94ZPzeLq4L/4yewBWTeoniCPjKnla6KRqPkm3QiU1uzuuzsDiD9Out2lHsc7LB4Zh8PDYXEue2tkrWqdy8L0/cri2YCFU9UmgdImn3/jC91kW49n3pEvEOi8fvNUlAOkTV9AMkxUMw+CPk3sgI6evJYfJYGBx5+tH8G1NMwr7pGDr/SNtyo17/cKzrGMJceZqaXF/cpgIlzgLmes0dmLzic14dtyzDtsvLlwMMKYwPJUiAixn9OgAhWpOV7CydetWZGZmoqGhAfPnz8e1116L4cOHW34fMGAA9u3bh9jYWHz++edYsmQJPv74Y7fH5DgO1VVVAExGhqaLQ1wEY5PEbFrZ3oDcBBUWDo4TbXStTc/adExnzlchXq1AswDH1uv1qLp6nWLDcZxlQcTcBBWaai+i2UWbmbetbDEgO06JxssX0Ozj0gnW12gvg7GlFtWt3TLwkVFMOI5Dn0Tv5fDmPsrl2vwh+Zpk0c8hpj5xpksA6fRJOOoS8/a945WoajWid7zSr2fffJ2edIkvcooBX10CkD6xhhwmOxQMYwmxY1kOc14/gpPVJhVyvLLREoLHKwzPnKtkXqTWeq0khQLo0UPoyyBgCpnTGbscvl97cC0WFyx26twsLliMWTfM4uUABVtOVyiTeTWcNTU1FcXFxaioqLAxcOLi4ix/jx8/Hs8//zwaGxvd5igwDIPc3FyXYQctHV2oav0BLAdUtRqQktlLtBABjuNw3c/dMgzo10ewWZ+qqirk5uYKcixv+F2u9zHvz/dm8bs953C+QYv/+cngc8iH/TWaZYiLVKJdZ3SQhY+MYsJHjqqqKuT07u1xe7lcm++0in4GsfRJTu/eLkOYpNIn4apLWI5D1I/nwLRpEBUVhd65uT47pNbXaS0DBziVRw7vHF8ZfqmsRFJGT4/by+Ha/MOzPiGHyQ0NGj0qLrRYPg/JSfItBM+cq2S9VpK3eUrOZqYIr0iPTccz457Bqv2rbL6PUKjdFmYgByg40Wq1YFkWcXFx0Gq1OHToEB566CGbberr65GWlgaGYVBRUQGWZZGc7N1ItavEaClXmg+V0rsAv9hzjc6I8w1awZLSrWWIj1K5NF7lkm8jxkKWgb62QCSJ80FMfeKuyIJU+iRcdYnQBS7sZXD3/gX6neMrQ/ds5w8ec5MCeW1S6RJymNyQEhOBwdmJqLjQgsHZiXj/gZt9C8Ez5yqZZ5i8zVNyNzPlzXmFenCC2GlbXLAYaw+uRaeh0/Kdge2iwgwhSENDA5YsWQIAMBqNmDZtGsaNG4etW7cCAObOnYs9e/Zg69atUCqViIqKwssvv+z1O+3KkJHa8HDXMUlthEpVnUpMI1IsA8odYrabuaSzlNfDl0AnwHuDmPrE3fMspT7xZOSGoj4R2yGVuz7hs21bpwFVrQbSJVchh8kFLMvhN28cRUVNM4bkJGHb4puh8DZu3mAwlQg/dgwYPdrk6Ozfz9/psJ+Zqq01OUyujuGLg+UJMY4pIemx6Xhzxpso21kGlSICBraLCjOEKDk5Odi1a5fD93PndldFnDdvHubNm+fT8d0ZMnIYOZTaCJWyOpWYRqSUM4SA+O3mrqSzXAiEUckXMfWJp+eZ9Il4+kRsh1TO+oRvmyVEqSy5SaRLyGFySYNGj+OVjTBywLc1zWjUdnmXt2QwACNHAidOmD4fOtQdgse3XLj1zNTNNwN33+3ecXEW+pee7t/skD/hhDKBCjMQQiEHQ8YVUhuhfM/nq3zWI6JiXI/UM4Rit1swhFpJbVTKETnrEiA89IkY74ac9YkvumTh4DikZPYiXQJymFySEhOBGLUKbToDYiJVSInxQlGwrGlmyewsAcDw4b6XCjdX0auvN63VlJPj3nGxD/1LS/N/dsj+mBxn+ifwi+PN4rL+4C4vSexzE4QUOOs4xDQO+J7Pl45NqlFuKY1Xvu3gS7tZX48cc4WCwakLdwKtT+IilWjp6HJ5LtInJvi0g7+6BJCfPpFSl5DD5IIr7Xq06Uy15Ns6DbjSrkdmYpT7nerrTWF4ZgoKTDNM1jeQZV2XEb+aK8SmpaNB22UqW65QmLbjOFvHxWgELl+2dZqsHayMDKCuznZ2qK4OyMri1xDmY9bWAnfdZXLavHC+rJ0QAG4dEm8XlxWDzcc3Y/nu5VArVDBwrKTnJgghse84OEBQ48C+o+R7Pl86Nm9GRIXowKU0Avi2gz8GgTsDMdCGj9xnWMKdQOqTuEgl1n5y3u255KpPpH6v+LSDv86FXPWJVLokeJJRJIaD7YJxXt3/jAxTzpJCAQwbBhw9autUmPOBevUylRIfP970ndVvXHY2zvQvwKh1n+Du178Ey3LdAuzfD1RXm5yn7GzTMcaNg7KuzvQdYDqf2RGzXhjXYADuvLP7fHxQKEz/jhyxneFyBsti6xebkPtKLib+7VZkr89Gr5d6ofhvE5H7Si62fr/VZnNni8uW7Sxzuris0Gw+vhkPlD8AnVGHti6NpOcmCFf4s2il9YKDQi4maL3I5e8+Pgf2qmx8z8d3QUTziKiCgdMRUXu5mrR63u3m6trEhG87+LrQp6t7IvQ1S7VwM8GfYNQn7TqjV+eSmz4JhC4B+LWDP4sGh7s+IYfJCSzLYdm731g+D89N8i5/iWGAvXuBESOAigqgqMjkYNTWmhwacz6Q+SEwOx4sC5w6BRw+DMZgwHXnv0NiezNOVDWhQaPvPr6142I+xhdfIG/iROCWWxydIYYB3n2322k7csS1o+OiHerbdKaH1ux8qVSuK/2xLOonjUbZ7ofQYehAm74VeqMeXVyXxRla8MECG4fEvLisNREKFSqbK72W0xfqNfVYvnu5w/dKRiH6uQnCFUJ2PJ6MAz54YywJeT4z5hHRv8wegFWT+jl08tZynanTYOk/T/FuN76GoFw7c2e4uidSGL9E4AlWfSKGLgHE1ye+vFekT2yRsz6hkDwnNGj0OFHVBABQKhj85bcF3nvjDQ2msDzzTMzYscDx4yYnY98+0/8HD3aH2JnzjA4dAuLiwGk0+OmagWiOS0ZhTiLSNE1AnFXontlxMR+DYcAYja7zmrKyTLNezkqauykXzrIc5v71S5yoakJBbjK23j8SiqvhfmxaOhra9aaQQev96utR+dMxqIcDHS5mRzuNndh8YjNmp88GYFpcVs/avlxdrEG0st/mUMGmjiaoFRHQGXWSnZsIDcQMPRAy0VrI2G5vYt/FiiV3F25hLRfLARz4txufuP5gKIdtjat7ImSidDBUvJMrYocxBas+ETMvRUx9wve9In3iiJz1CTlMTjAVfFCirdOAGLUSqbE8Fqu1LpIwfDjw1VemfKPDh4HTp4FPPzX9n55ucmbMeUZGI9DeDuabb3BD/xtxpF2HtOlTwCyzK9hgnVMEAHffDe7QITCuZn3s85rML6OHcuFmp9HAcpaZrvT4SLDpGY6OlKLbmetz3XDolV+6baJ1B9diwm0TAJiKMWyZsQVlO8sQoVCh62oOkxjFF2xzpbpgMBodttkwdQMVfiBcInYHJ3TFH6Fiu701YKTOSzHL1drRhQ0HKnH2ipZ3u/ExzuTcmbvC2T2R2pkmHJHCWA5mfRKIHDd/9Qnf94r0iSNy1ifykURGXNHoobk6pajVGRxKirMGIxp/qUFqXCSYrCzb2RlrByU9vdspiY0FhgwB4uMBjabbSbGvQjdgABQMg/TOVtflvBUKU/4SAOzfj7OHDuG6MWNcJ1qZ85qs8VAuPC1OjYLcZItjlBZnchpdOVLma0//+BC2HH4dZZ8/BhWjQmdnG7oUAKxEi1BE4KL2ouXz3IFzMTRzKL66+BVu6nUT+qf39/5meYl1rlTH1e/USjWiEIWIqw7UhikbsLhgseDnJkIHsTs4OVcPc2XAmENKGMDn2HhvcDUar2AYJMWosWpyns/t5q1xJufOnC9SO9OELVIYy3K+N6GqT/i8V6RPHJHzMxu8d0ckWI7Dw//4GuZsoEHZiUiNvVqeleVQ29iO5sIRuL7qNACAGzMGzLvvAkpld7EFawdl/37g+++BoUNNIXQtLabvrZ0UZzNA9o6Uq9LkCgWMaWleVaVgWQ4NGj1SYiLQGJ2ItFGjwLg4PsMw2Hr/SDRobEPvXDlS1vLMHfMAbs2fjcrG84i7bzEKbq6wCdHrYg3oFdPL8tk882O9sKzQlerMuVIdVt9FKSOxbc77SI5OppKeloyCAAAfj0lEQVTihFdI0cEFU/Uw8yj5mToNAOD69Bismpwn+Ei5N6PxUrSbnDvzQOJt2we6Mp+ckMpYJn3i+jykT+SJXPUJOUx2NHUY8VWlKX+J4VhcPFOJua8r8D8LRmDunz/H736/AP2vVFkmTLgvvgCys8EB6Lp5NJr/tRvp+nYw1iXDly7tLtKgVJr+t3ZSnM0AuQql8wDLcqhv14EBkB4faXmIzDlJxysbEROpglZvxPC71+Ef7/aFIivT6fEVCsah2IUrR8qe9OhUpM8rBQ6fwpbEfigruGgTcpeiTAFgmvlZsHMBOo2dwFV3pmxnGW695la/HBj7tZVc5Url98gnR4nwGurgbDGPkpv5qV5rM1IuVIcmp9AVMQypcHAkgi1fQ2xIlzhC+kQYSJ+IAzlMdnCcaW6J4Vhs3fo0Ci6exte9+uOO5hfx3qqZiDV0goEpGdD61jAAVEcOoWZQIVIun4NyzGgwZofn8GGrDRng5ElgwADPTpATR8o8S+TMWWFZDne/fsTi8N3UJwXvLjLlGJlD6YwcLBVMjte0oCEuGel8w1ecOFIOWIX8zf2wEre+/A0qI7QmByY6FT8dOgRwHDYf33zVWepGpYhAZXOlz46Mq3WdpMqVIkIbd6EkodxJObs+8yi5eUT4uvQYy0i5kB1aKIWu2GPfTk8X94VGZ5TkOZLymZWTkSoXSJfYXh/pE/+xb6eHx+YiScTQRvtzh7I+CZ2nRCD0RpPDlKptQcHF04hgjSio+QEv/2mBxVkCYPO/tfM05NJZqDgWnDnkzrqqHcNY8pScOUuunCHrULrfvHHUecEF2Fb3A4AT1d05RuZQOusZJqchdX5iuYb0dFMhiqshf+m5N5ocM5YFN2EC+h06hLpbhmPdhG8cjtFl1Ptcqc5ZrpJ5xmruwLm49Zpb3S6iSxC+EOqj566uzzxK7iznQK4VurzBXccvtFFg305r9pzDzw1a0Z8jqZ/ZUDZShSRcdQmAsNMnYjgYzkqjX58h/nMUDvqENJYVnZ0GlO34FQBwJSYJJ3pcj8KLp6ADh+uafu0OwwNs/taoIhFp0OFErxsBRoHCX09DaQ65Yxjgs89MVe0YpjvPyQ7rMt7Deidh49xhyEiIBMfB8v2g7ERU1DTDyMGx4AK684vMM0zWDpF1KF1KTAQatV1uQ+p8waEU+d59UDRcsQkpZGvrwH5xCCrWiPM/foWICTE2eUUA8My4Z3x2ZpzlKpnXdUqPTbf8Iwgh8dSZB/uIsbvrUzAMkmMcB17kWqHLE55WsxfaKLBup76pMTh3RetTeXRP12T//Ek9QkshaN7hzX0JZn3i6frCRZ+I5WAIsdSCJ8JVn5DDdBWW5TDztUOWz+ouDQZfPgslgBg4ht8BpgfxfO/rUXznH5Ha2Ybs63pj87wCKHVt4NIzcMW8VpFCATYzC/XtOnCtnaYqeFb5RYBt9bmvKpsw6o/7UJibjFfvzrd8X3GhBUNyklBxocXp7BDDMHh30c1Oc5gA21A6rxbi5YlDBb0OA9LtQgobYpPwc6/+GHbxNFqi89CFKpvfo1VRflWqk3pdJ4IA3HfmoTBi7IuxImSHJpdQDzGMAut2io9U4oVPzgs6aurq+fPHAPX1fgRTAYJA4em+BLs+8fW5CzV9IpaDIcRSC+4QWp/4cy+k1ieSOUwHDhzA2rVrwbIs5syZg0WLFtn8rtfr8cQTT+CHH35AUlIS1q9fj+zsbADA5s2b8f7770OhUODZZ5/F2LFjBZevQaPHT7XtAICB3+/Bh+UbAdg6SmbM6w5zN90E/T9340B0BKoateiXHoeMxGhwXIzNTMvfy0bgN298aZn5AWzziwDYhMwZOcB41elgGNhUpfvHwhFuZ4cUCgaZCVGCto1XsCzSNE0o6J2EE9XNLsP90uIj8fBTr+Hn07/gmhuvxZbRVSjb5V9eUb2mHicvnQQA5PfIp1wlQnLcdeahkLvhq7EiRIcmp1APscJArNtJ6FFT++evpaPLYuD4cq5gN9jljqd3Ldj1iT+OTyjpEzFDyoRYasEV1s/fj3UaXGzuRHZSlE/3Ndh0iSQOk9FoxJo1a/DWW28hMzMTpaWlKCoqQr9+/SzbbNu2DQkJCfjkk09QXl6OF198Ea+88grOnTuH8vJylJeXo7a2FvPnz8eePXugNFebEwgVx+LeFx/D44afEHP1O+vbxln9/XViDjb9vz/jaIcabX+2KugAYHhuMv78m2EWx+d4ZSPO1bfb5BYBtvlFQHfI3JV2HZZuPYmvrzpI6fGRDlXpxJgd8ouri+Ayhw/j3VGjcGXXbqQlRDl9YRiGwT8Wj8KX3yTg5vyBYJhRuPVa3/OKtn63FfftvA96ox4AEMFE4J1Z76DqkSrKVSIkxVVnbt8xxkUq0dLRFZThNIFATqEeUoSBCD1qav385aXFYOPBKhsDhe+5gt1gDwbcPQOhoE8UDIP4KBVaAxBWKBd9Eoy6BOh+/n6s0yAqQoGnyn+0cXb4nC/YdIkkDlNFRQVyc3ORk5MDACgpKcHevXttHKZ9+/Zh6dKlAIDJkydjzZo14DgOe/fuRUlJCdRqNXJycpCbm4uKigrk5+cLKuOrfYditeEny2frsDszd898Fud79MOV+FQoWhmwnNHhOCeqm8CBQ0ykCm2dBsREqtAvPdYmtwiA0xkYhYJBRkIU3rVzkBhGnBA6wbCqiMccPmxadDcx2uXmCgWD5OhuBeFrXlG9ph4Ldi2wOEsA0MV1YcEHC1D9aDWG9xrO/1oIQmCsO8a4SCXWWoVcyX1EzUwgRwIDkdzrruMPtrAy6+eP4zgs3X7KLwPF2mC6NjUG8ZHCDl4S7iF94h9y0ifBpkuA7ufvYnMnnir/URBdYh7M4TgOHMfJ1vGXxGGqra1FVlaW5XNmZiYqKioctunRo4dJKJUK8fHxaGpqQm1tLYYMGWKzb21trdvz6XQ6nD59mpeMj18xOUvmqnfWjtJzQ2fjbxN+C6jVuD5VjaZGPW5Ij8QvTXpouzib4/RPj8T5c+eg1ZnyaLQ6A76qOIXnxiWhaXgcOO5qUmO0EmfOnHEr0xUvZe/s7OR9vYLCceg9dChiTp6EduhQVDc0AI2NbncRQubvGr8DwzmZxeKA/d/sx6CUQX4d356At7MPBKPMoYi5Y2zp6AqqETUzgRwJpGIB/mN+/jiO89tYZBgGTxf3xe/2nMP5Bi1e+OR80BjqoQLpE98hfeI/CoZBdlKUILrEXBVx48EqLN1+StaOvyQOE8dxDt/ZP6SutvFmX3siIyPRv39/XjJ+f999GPD22xZHSQvgUHRPLJr/EhAfDwC4qY+plLc5h8ho5HCuvh3Xpsbg3BUNUmPVyLiaP1R4vN2Sd2QKPRPv5p8+fZr39QrO0aNAfT1iMzLQ34trFULmNE0auM8cnw+OASYMnSB4KJ4s2pkncpKZHLfgLa0caLmDcSRWjghlLGp0Rpxv0Epm8AZzVTgxCfR76SuBlpv0if8IpUsUDAMFw0jqQPuqTyR5SrOysnD58mXL59raWmRkZDhsc+nSJWRlZcFgMKCtrQ1JSUle7SsEA996C+9+dwq3n/gKA1QTELViBcZdE4nnb+yNW2/sgYiICEvVOXN4nErF4IYeCQCAG3sm2hzPPu8o5HGyyK7YpMem480Zb+K+D2xzmN6c+SblLRGyRE6jm3w6DTnJLRbhYpQLYSyKbfBa3wsOCKrEcCmR03tpfc88ISe5xSIc9IlQjqeY+sT+PvgTDiqJwzRo0CBUVlaipqYGmZmZKC8vx0svvWSzTVFREXbs2IH8/Hzs2bMHI0eOBMMwKCoqwooVKzB//nzU1taisrISgwcPFkXOu48fxenTp1EpwIi8dQlvQjzMi9FaV8kjZ4mQM3IY3XTWaXhCDnKLRSByKoLZoBLT4LW/Fw+PzQ3KsDOpkMN7aX/P7rneszxykFssSJ/wQyx94uw++BMOKonDpFKpsHr1aixcuBBGoxGzZ89GXl4eNmzYgIEDB2LixIkoLS3FypUrUVxcjMTERKxfvx4AkJeXh6lTp+K2226DUqnE6tWrBa+QRwQ36bHpmNRvUqDFIIigwVmnEc5InVMhhEEVaAPJW4OXr5z294IBgjLsLJywv2eaaxM97xTCkD7hjzf6xF9dYt7XV30imeYZP348xo8fb/Pd8uXLLX9HRkbi1Vdfdbrvgw8+iAcffFBU+QiCIMIFZ51Gc6CFCiBSl2r216AKlvVLfJHT/l4kRkeEfPhWsOPw/kSE9z0ifSI8QugSc/v7qk9oqIYgCCLMcNVpBHqU0R1iyiZ1qWa+o5z21x4s65f4IqezZ5MBZHl9hAn7e1ZdXQ2A9Ikc9Ymz6w4GfSKULgF8Dwclh4kgCCIMse805DzKKIVsQpVq9sYQ4zPK6ezaA11lzFt8lTOU81tCFdIntshRn7i67mDQJ3LQJfJrFYIgCEJyNF1cQEcZ3RkGUo6AetsxO5OXjyHmbUfu6tqDIUwtHKqhEc4J5KyFJycjXPWJq+sOhvdUDjKSw0QQBBFA5BK2EhfBBGyU0VlltKSrHTng2ugQo+286ZhdGTKeDDFnJW49ye/q2p0ZSCzHoU3PguM4SZ8ld9dBs0XSIhd9EqhZC/t38+nivtDojDbtEa76xN09CQZ9EmhdQg4TQRBEgPAlNEQsgyiQI3jWhsGZOg2W/vMUrs/obg9nsokZVuOpY3ZlyLgzSJwZcuu8yG3wKdzm53OShUDJOfQq3CB94vhurtlzDj83aG3aI1z1ic+hwKRPAJDDRBBECFFUVITY2FgoFAoolUps377d5neO47B27Vp8/vnniIqKwh/+8AcMGDAgILKyHIeLzZ28QkNcrZ8klFESqBE8a8OA5QAOju1hL1sgQ35cGTL2BgkHoPVqdSx7eS+16LyW359wG7EJhoRxXyF9Enz6xPrd7Jsag3NXtKRPrPA3FFhs5KxPyGEiCCKkeOedd5CSkuL0twMHDqCyshIff/wxvv32W/znf/4ntm3bJrGE3YbKj3UaREUooDOwXoWt2HcmLR1d2HiwSpajcXwwGwatHV3YcKASZ69oPbZHIBOV3Y3Umg0Se2P0meK+NvL2SowUVP5AtUcwJIz7A+mT4NIn1u9mfKQSL1jNupA+8R7SJ47IRxKCIAiR2bt3L2bOnAmGYTB06FC0trairq4OGRkZksphNlQ4AJ1dLP4w7XpkJ0V5HNG170wYQLajcXxRMAySYtRYNTnPqxHuQCcB8w2zadcZHeQVUn7z8U6dq8SAfn0ka49A34dAQvpEnli/m94+m4F+jkmf2J5XjvokJB0mnU6H06dP+7y/P/sGCpJZGkhm39HpdJKcp6ysDAzD4K677sJdd91l81ttbS2ysrIsn7OyslBbW+vWwImNikCkolVQGZNjgY1TM6DRGxGrVuLa1C4AXV7t+/KUTBhZFiqlAkCnzXH6xHYA6PBNpmuSAQh7nb6SGivOtlJeo/09Nt0bR3n5yO8NY69PBdAm7EG9QOjr8ATpk27kpk/kpEsA0if+QPqkm5B0mIYOHRpoEQiCCABbt25FZmYmGhoaMH/+fFx77bUYPny45XeO4xz28TSCJZY+6d9fXschhIfuTXBD+oSQE3RvAosi0AIQBEEIRWZmJgAgNTUVxcXFqKiosPk9KysLly9ftny+fPmy5OEzBEEEB6RPCIIwQw4TQRAhgVarRXt7u+XvQ4cOIS8vz2aboqIifPDBB+A4Dt988w3i4+PJwCEIwgHSJwRBWBOSIXkEQYQfDQ0NWLJkCQDAaDRi2rRpGDduHLZu3QoAmDt3LsaPH4/PP/8cxcXFiI6Oxrp16wIpMkEQMoX0CUEQ1jCcsyBcgiAIgiAIgiAIgkLyCIIgCIIgCIIgXEEOE0EQBEEQBEEQhAvCymE6cOAAJk+ejOLiYrz++usOv+v1ejzyyCMoLi7GnDlzcOHCBctvmzdvRnFxMSZPnoyDBw/KXuYLFy5g8ODBmDFjBmbMmIHVq1fLRuZjx47hjjvuwI033ojdu3fb/LZjxw5MmjQJkyZNwo4dO6QS2S+Z+/fvb2nnBx54QCqRPcr81ltv4bbbbsPtt9+Oe++9FxcvXrT8Fqh2DjaMRiNmzpyJxYsXB1oU0SgqKsLtt9+OGTNmYNasWYEWRzRaW1uxbNkyTJkyBVOnTsXJkycDLZKg/PzzzxY9NGPGDAwbNgxvv/12oMUSnLfffhslJSWYNm0aHnvsMcnWYxIC0iehQajrEoD0iVO4MMFgMHATJ07kqqurOZ1Ox91+++3c2bNnbbb53//9X27VqlUcx3Hcv/71L2758uUcx3Hc2bNnudtvv53T6XRcdXU1N3HiRM5gMMha5pqaGq6kpER0GX2Ruaamhjt9+jS3cuVK7qOPPrJ839TUxBUVFXFNTU1cc3MzV1RUxDU3N8taZo7juKFDh4ouoz3eyHzkyBFOq9VyHMdxf//73y3PRqDaORh58803uccee4xbtGhRoEURjQkTJnANDQ2BFkN0nnjiCe7//u//OI7jOJ1Ox7W0tARYIvEwGAzcqFGjuAsXLgRaFEG5fPkyN2HCBK6jo4PjOI5btmwZ989//jPAUnkP6ZPQIJx0CceRPjETNjNMFRUVyM3NRU5ODtRqNUpKSrB3716bbfbt24c77rgDADB58mQcOXIEHMdh7969KCkpgVqtRk5ODnJzcx3WY5CbzIHCG5mzs7Nxww03QKGwffy++OILjB49GklJSUhMTMTo0aMlmc3zR+ZA4Y3MI0eORHR0NADTYonm9UIC1c7BxuXLl/HZZ5+htLQ00KIQftLe3o5jx45Z7qVarUZCQkKApRKPI0eOICcnB7169Qq0KIJjNBrR2dkJg8GAzs7OoCnjTfokNAg3XQKQPjEjD+tPAmpra5GVlWX5nJmZidraWodtevToAQBQqVSIj49HU1OTV/vKTWbAFJY3c+ZMzJs3D8ePHxddXm9lFmNff/D3vDqdDrNmzcKdd96JTz/9VAwRHeAr8/vvv49x48b5tG+4sm7dOqxcuVI2TrKYlJWVYdasWXjvvfcCLYoo1NTUICUlBU899RRmzpyJZ555BlqtNtBiiUZ5eTmmTZsWaDEEJzMzEwsWLMCECRMwZswYxMXFYcyYMYEWyytIn4QG4aZLANInZkL/zb2Ks1kXhmG82sabfcXAH5kzMjKwf/9+fPDBB3jyySexYsUKyyJ8YuJPW8m5nd2xf/9+bN++HS+99BLWrVuH6upqIcVzCh+Zd+7cie+//x4LFy7kvW+4sn//fqSkpGDgwIGBFkV0tm7dih07duCvf/0r/v73v+PYsWOBFklwDAYDTp06hblz5+KDDz5AdHS007y/UECv12Pfvn2YMmVKoEURnJaWFuzduxd79+7FwYMH0dHRgZ07dwZaLI+QPgkdwkmXAKRPrAkbhykrK8sSkgSYRtntp96ysrJw6dIlAKaXoq2tDUlJSV7tKzeZ1Wo1kpOTAQADBw5E79698csvv8hCZjH29Qd/z5uZmQkAyMnJwU033YRTp04JLqM93sp8+PBhvPbaa9i0aRPUajWvfcOZr7/+Gvv27UNRUREee+wxfPnll3j88ccDLZYomJ/f1NRUFBcXSxJuLDVZWVnIysrCkCFDAABTpkyR5D0NBAcOHMCAAQOQlpYWaFEE5/Dhw8jOzkZKSgoiIiIwadKkoEi4J30SOoSTLgFIn1gTNg7ToEGDUFlZiZqaGuj1epSXl6OoqMhmm6KiIkvFsD179mDkyJFgGAZFRUUoLy+HXq9HTU0NKisrMXjwYFnL3NjYCKPRCAAWmXNycmQhsyvGjBmDL774Ai0tLWhpacEXX3whSbiFPzK3tLRAr9cDABobG/H111+jX79+YooLwDuZT506hdWrV2PTpk1ITU21fB+odg4mVqxYgQMHDmDfvn14+eWXMXLkSLz44ouBFktwtFqtZeZZq9Xi0KFDyMvLC7BUwpOeno6srCz8/PPPAEwx+X379g2wVOJQXl6OkpKSQIshCj179sS3336Ljo4OcBwXNPeR9EnoEE66BCB9Yo1KQtkCikqlwurVq7Fw4UIYjUbMnj0beXl52LBhAwYOHIiJEyeitLQUK1euRHFxMRITE7F+/XoAQF5eHqZOnYrbbrsNSqUSq1evhlKplLXMx44dw6uvvgqlUgmlUonnn38eSUlJspC5oqICS5cuRWtrK/bv34+NGzeivLwcSUlJeOihhyzJlEuWLJG9zOfPn8dzzz1nCd28//77JXGYvJH5T3/6E7RaLZYvXw4A6NGjB1577bWAtTMhPxoaGrBkyRIApuTXadOmWXLdQo1Vq1bh8ccfR1dXF3JycvD73/8+0CIJTkdHBw4fPow1a9YEWhRRGDJkCCZPnow77rgDKpUK/fv3x1133RVosYirhIs+CQddApA+sYfhAllSjSAIgiAIgiAIQsaETUgeQRAEQRAEQRAEX8hhIgiCIAiCIAiCcAE5TARBEARBEARBEC4gh4kgCIIgCIIgCMIF5DARBEEQBEEQBEG4gBwmwi8WLlxoWQcq0Pz666/Iz8+3rD91zz33YNu2bYIdX07XShAEQRAEQUgDlRUnZMeTTz6JzMxMPProo5bvioqK8MILL2DUqFFeH+eee+7B9OnTMWfOHN4ybNy4EVVVVSG5uCBBEARBEAThPTTDRIQEBoMh0CIQBEEQBEEQIQg5TCFIdXU1brrpJvzwww8AgNraWowYMQJHjx51uf1//Md/YMSIERgxYgRWrFiB1tZWr45lHfZWVVWFefPmoaCgACNGjMAjjzziUsZly5Zh9OjRKCgowG9/+1ucPXsWAPDee+/hww8/xJYtW5Cfn48HHngAK1euxK+//ooHHngA+fn5+Otf/4oLFy7g+uuvx7Zt23DLLbfg3nvvtXxn7TxVV1ejtLQUBQUFePDBB9Hc3AwAOHr0qMMK5EVFRTh8+DAOHDiAzZs346OPPkJ+fj6mT5/ucK0sy+K///u/MWHCBNx888144okn0NbWBgAWOXbs2IFbbrkFI0aMwKZNm7y9fQRBEARBEISMIIcpBOnduzcef/xxPP744+jo6MDTTz+NWbNmYcSIEU635zgOixcvxsGDB/HRRx/h8uXL2LhxI+9jbdiwAaNHj8axY8dw4MABzJs3z6WM48aNw549e3DkyBHceOONePzxxwEAd911F26//XaUlZXh5MmTeO211/Bf//Vf6NmzJ1577TWcPHkS999/v+U4x44dw7///W9s2bLF6Xk++OADrFu3DgcPHoRKpcILL7zgsf3GjRuHxYsXY+rUqTh58iR27drlsM327duxY8cO/O1vf8Onn34KrVaLNWvW2Gxz4sQJ7N69G++88w7+8pe/4Pz58x7PTRAEQRAEQcgLcphClDvvvBO5ubm48847UVdXZ5MPZE9ubi5Gjx4NtVqNlJQUzJ8/H8eOHeN9LJVKhV9//RV1dXWIjIxEYWGhy3OWlpYiLi4OarUaDz/8MM6cOWOZoeHDww8/jJiYGERFRTn9fcaMGbjuuusQExOD5cuXY/fu3ZaiEP7w4Ycf4r777kNOTg5iY2Px2GOP4d///rfN7NbSpUsRFRWFG264ATfccAPOnDnj93kJgiAIgiAIaSGHKYS588478dNPP+Gee+6BWq0GABw/fhz5+fnIz89HSUkJAKChoQGPPvooxo4di2HDhmHlypVoamryeCx7Vq5cCY7jUFpaipKSErz//vtOtzMajXjxxRdx6623YtiwYSgqKgIAh3N6Q1ZWltvfe/ToYfm7Z8+e6Orq8uk89tTV1aFXr16Wz7169YLBYEBDQ4Plu7S0NMvf0dHR0Gq1fp+XIAiCIAiCkBZVoAUgxEGj0WDdunUoLS3Fxo0bMWnSJCQlJaGwsBAnT5602fall14CwzDYtWsXkpOT8emnn9qEl7k6lj3p6emWkLfjx49j/vz5GD58OHJzc222+/DDD7F371689dZbyM7ORltbG4YPHw5zwUaGYby+Tk/bXrp0yebviIgIJCcnIzo6Gp2dnZbfjEYjGhsbvT5uRkYGLl68aPn866+/QqVSITU1FZcvX/ZafoIgCIIgCELe0AxTiLJ27VoMGDAAa9euxS233ILnnnvO5bYajQYxMTFISEhAbW0t3njjDZ+OZc5/AoDExEQwDAOFwvER02g0UKvVSE5ORkdHB15++WWb31NTU3HhwgWb79LS0lBTU+PVtVuza9cunDt3Dh0dHdiwYQMmT54MpVKJa665BjqdDp999hm6urqwadMm6PV6GxkuXrwIlmWdHnfatGl45513UFNTA41Gg/Xr12Pq1KlQqWgMgiAIgiAIIpQghykE+fTTT3Hw4EE8//zzAEzrGp06dcpp8QLAlGtz6tQpFBYWYtGiRZg0aZJPx/ruu+8wZ84c5Ofn48EHH8QzzzyDnJwch+1mzpyJnj17YuzYsSgpKcHQoUNtfi8tLcW5c+dQWFiIhx56CACwaNEibNq0CYWFhS4LPDhjxowZePLJJzF69Gjo9Xo888wzAID4+Hg899xzePbZZzFu3DhER0fbhPdNmTIFADBixAjccccdDsedPXs2pk+fjnnz5mHixIlQq9VYtWqV13IRBEEQBEEQwQEtXEsQBEEQBEEQBOECmmEiCIIgCIIgCIJwATlMBEEQBEEQBEEQLiCHiSAIgiAIgiAIwgXkMBEEQRAEQRAEQbiAHCaCIAiCIAiCIAgXkMNEEARBEARBEAThAnKYCIIgCIIgCIIgXEAOE0EQBEEQBEEQhAv+P5NcKRSNX+sRAAAAAElFTkSuQmCC\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(14, 4))\n", "plt.subplot(131)\n", "plt.title(\"Feature Attributions\", fontsize=16)\n", "plt.scatter(X_shap[y == 0, 0], X_shap[y == 0, 1], s=5)\n", "plt.scatter(X_shap[y == 1, 0], X_shap[y == 1, 1], c='r', s=5)\n", "plt.scatter(X_shap[selector.ranking][:, 0], X_shap[selector.ranking][:, 1], c='g', s=20)\n", "plt.xlabel(\"x-axis attribution\", fontsize=12)\n", "plt.ylabel(\"y-axis attribution\", fontsize=12)\n", "\n", "plt.subplot(132)\n", "plt.title(\"Selection on Attribution\", fontsize=16)\n", "plt.contourf(xx, yy, Z, cmap='RdBu_r', linewidths=0.3, alpha=0.25)\n", "plt.scatter(X[y == 0, 0], X[y == 0, 1], s=5)\n", "plt.scatter(X[y == 1, 0], X[y == 1, 1], c='r', s=5)\n", "plt.scatter(Xi2[:, 0], Xi2[:, 1], s=20, color='g', label=\"Selected Samples\")\n", "plt.xlim(4, 8)\n", "plt.ylim(5, 8)\n", "\n", "plt.subplot(133)\n", "plt.title(\"Least confident samples\", fontsize=16)\n", "\n", "plt.contourf(xx, yy, Z, cmap='RdBu_r', linewidths=0.3, alpha=0.25)\n", "plt.scatter(X[y == 0, 0], X[y == 0, 1], s=5)\n", "plt.scatter(X[y == 1, 0], X[y == 1, 1], c='r', s=5)\n", "plt.scatter(X[idx[:50], 0], X[idx[:50], 1], s=20, color='#FF6600', label=\"Selected Samples\")\n", "plt.xlim(4, 8)\n", "plt.ylim(5, 8)\n", "plt.savefig(\"img/attributionselection.png\")\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "It looks like here that submodular selection identifies six samples from the x-axis dominated portion of the selection whereas the least confident samples selects only a single one. " ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.4" } }, "nbformat": 4, "nbformat_minor": 2 } jmschrei-apricot-bf86e69/tutorials/3. Using Sparse Inputs.ipynb000066400000000000000000011171041414554015600244620ustar00rootroot00000000000000{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Populating the interactive namespace from numpy and matplotlib\n" ] } ], "source": [ "%pylab inline\n", "numpy.random.seed(0)\n", "\n", "import seaborn; seaborn.set_style('whitegrid')\n", "\n", "from apricot import FeatureBasedSelection\n", "from apricot import FacilityLocationSelection" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Sparse Inputs\n", "\n", "Sometimes your data has many zeroes in it. Sparse matrices, implemented through `scipy.sparse`, are a way of storing only those values that are non-zero. This can be an extremely efficient way to represent massive data sets that mostly have zero values, such as sentences that are featurized using the presence of n-grams. Simple modifications can be made to many algorithms to operate on the sparse representations of these data sets, enabling compute to be efficiently performed on data whose dense representation may not even fit in memory. The submodular optimization algorithms implemented in apricot are some such algorithms.\n", "\n", "Let's start off with loading three data sets in scikit-learn that have many zeros in them, and show the density, which is the percentage of non-zero elements in them." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "digits density: 0.5107122982749026\n", "covtype density: 0.21997936040589205\n", "rcv1 density: 0.0015492886781268524\n" ] } ], "source": [ "from sklearn.datasets import load_digits\n", "from sklearn.datasets import fetch_covtype\n", "from sklearn.datasets import fetch_rcv1\n", "\n", "X_digits = load_digits().data.astype('float64')\n", "X_covtype = numpy.abs(fetch_covtype().data).astype('float64')\n", "X_rcv1 = fetch_rcv1().data[:5000].toarray()\n", "\n", "print(\"digits density: \", (X_digits != 0).mean())\n", "print(\"covtype density: \", (X_covtype != 0).mean())\n", "print(\"rcv1 density: \", (X_rcv1 != 0).mean())" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "It looks like these three data sets have very different levels of sparsity. The digits data set is approximately half non-zeros, the covertypes data set is approximately one-fifth non-zeroes, and the rcv1 subset we're using is less than 0.2% non-zeroes.\n", "\n", "Let's see how long it takes to rank the digits data set using only naive greedy selection." ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "1.46 s ± 60 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)\n" ] } ], "source": [ "%timeit FeatureBasedSelection(X_digits.shape[0], 'sqrt', optimizer='naive').fit(X_digits)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can turn our dense numpy array into a sparse array using `scipy.sparse.csr_matrix`. Currently, apricot only accepts `csr` formatted sparse matrices. This creates a matrix where each row is stored contiguously, rather than each column being stored contiguously. This is helpful for us because each row corresponds to an example in our data set. No other changes are needed other than passing in a `csr_matrix` rather than a numpy array." ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "1.79 s ± 154 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)\n" ] } ], "source": [ "from scipy.sparse import csr_matrix\n", "\n", "X_digits_sparse = csr_matrix(X_digits)\n", "\n", "%timeit FeatureBasedSelection(X_digits.shape[0], 'sqrt', optimizer='naive').fit(X_digits_sparse)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Looks like things may have been slowed down a bit, likely due to a comination of the data set being small and not particularly sparse.\n", "\n", "Let's look at the covertypes data set, which is both much larger and much sparser." ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 500/500 [00:10<00:00, 47.4it/s] \n" ] }, { "data": { "text/plain": [ "array([ 60562, 478758, 61159, 56653, 60561, 478759, 60262, 57263,\n", " 478760, 60861])" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "FeatureBasedSelection(500, 'sqrt', optimizer='naive', verbose=True).fit(X_covtype).ranking[:10]" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 500/500 [00:05<00:00, 85.1it/s] \n" ] }, { "data": { "text/plain": [ "array([ 60562, 478758, 61159, 56653, 60561, 478759, 60262, 57263,\n", " 478760, 60861])" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "X_covtype_sparse = csr_matrix(X_covtype)\n", "\n", "FeatureBasedSelection(500, 'sqrt', optimizer='naive', verbose=True).fit(X_covtype_sparse).ranking[:10]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Seems like it might only be a little bit beneficial in terms of speed, here.\n", "\n", "Let's take a look at our last data set, the subset from rcv1, which is extremely sparse." ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 500/500 [01:04<00:00, 7.81it/s] \n" ] }, { "data": { "text/plain": [ "array([ 363, 362, 2919, 2959, 4086, 4564, 1060, 2930, 268, 1506])" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "FeatureBasedSelection(500, 'sqrt', optimizer='naive', verbose=True).fit(X_rcv1).ranking[:10]" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 500/500 [00:11<00:00, 44.2it/s]\n" ] }, { "data": { "text/plain": [ "array([ 363, 362, 2919, 2959, 4086, 4564, 1060, 2930, 268, 1506])" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "X_rcv1_sparse = csr_matrix(X_rcv1)\n", "\n", "FeatureBasedSelection(500, 'sqrt', optimizer='naive', verbose=True).fit(X_rcv1_sparse).ranking[:10]" ] }, { "cell_type": "markdown", "metadata": { "collapsed": true }, "source": [ "It looks like there is a massive speed improvement here. It looks like the sparseness of a data set may contribute to the speed improvements one would get when using a sparse array versus a dense array. \n", "\n", "As a side note, only a small subset of the rcv1 data set is used here because, while the sparse array does fit in memory, the dense array does not. This illustrates that, even when there isn't a significant speed advantage, support for sparse arrays in general can be necessary for massive data problems. For example, here's an example of apricot easily finding the least redundant subset of size 1,000 from the entire 804,414 example x 47,236 feature rcv1 data set, which would require >250 GB to store at 64-bit floats. " ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "100%|█████████▉| 999/1.00k [01:17<00:00, 10.6it/s] " ] }, { "name": "stdout", "output_type": "stream", "text": [ "0.5441014766693115 23.813040733337402 5.747008323669434\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 1.00k/1.00k [01:18<00:00, 12.8it/s]\n" ] }, { "data": { "text/plain": [ "" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "X_rcv1_sparse = fetch_rcv1().data\n", "\n", "FeatureBasedSelection(1000, 'sqrt', verbose=True).fit(X_rcv1_sparse)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Clearly there seems to be a speed benefit as data sets become larger. But can we quantify it further? Let's look at a large, randomly generated sparse data set. " ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [], "source": [ "numpy.random.seed(0)\n", "X = numpy.random.choice(2, size=(8000, 4000), p=[0.99, 0.01]).astype('float64')" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 500/500 [00:09<00:00, 51.2it/s] \n" ] }, { "data": { "text/plain": [ "array([5548, 1726, 3051, 3445, 2539, 556, 2211, 4262, 633, 6060])" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "FeatureBasedSelection(500, 'sqrt', optimizer='naive', verbose=True).fit(X).ranking[:10]" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 500/500 [00:00<00:00, 658it/s] \n" ] }, { "data": { "text/plain": [ "array([5548, 1726, 3051, 3445, 2539, 556, 2211, 4262, 633, 6060])" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ "X_sparse = csr_matrix(X)\n", "\n", "FeatureBasedSelection(500, 'sqrt', optimizer='naive', verbose=True).fit(X_sparse).ranking[:10]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "It looks much faster to use a sparse matrix for this data set. But, is it faster to use a sparse matrix because the data set is larger, or because we're leveraging the format of a sparse matrix?" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 500/500 [00:00<00:00, 673it/s] \n", "100%|██████████| 500/500 [00:00<00:00, 875it/s] \n", "100%|██████████| 500/500 [00:01<00:00, 400it/s] \n", "100%|██████████| 500/500 [00:00<00:00, 723it/s] \n", "100%|██████████| 500/500 [00:01<00:00, 333it/s] \n", "100%|██████████| 500/500 [00:00<00:00, 753it/s] \n", "100%|██████████| 500/500 [00:02<00:00, 247it/s] \n", "100%|██████████| 500/500 [00:00<00:00, 915it/s] \n", "100%|██████████| 500/500 [00:02<00:00, 184it/s] \n", "100%|██████████| 500/500 [00:00<00:00, 869it/s] \n", "100%|██████████| 500/500 [00:03<00:00, 126it/s] \n", "100%|██████████| 500/500 [00:00<00:00, 802it/s] \n", "100%|██████████| 500/500 [00:05<00:00, 83.5it/s] \n", "100%|██████████| 500/500 [00:00<00:00, 765it/s] \n", "100%|██████████| 500/500 [00:09<00:00, 55.2it/s] \n", "100%|██████████| 500/500 [00:00<00:00, 651it/s] \n", "100%|██████████| 500/500 [00:11<00:00, 42.4it/s] \n", "100%|██████████| 500/500 [00:00<00:00, 580it/s]\n", "100%|██████████| 500/500 [00:17<00:00, 29.0it/s] \n", "100%|██████████| 500/500 [00:01<00:00, 496it/s] \n", "100%|██████████| 500/500 [00:21<00:00, 23.1it/s] \n", "100%|██████████| 500/500 [00:01<00:00, 419it/s] \n", "100%|██████████| 500/500 [00:32<00:00, 15.6it/s] \n", "100%|██████████| 500/500 [00:01<00:00, 337it/s] \n", "100%|██████████| 500/500 [00:50<00:00, 9.85it/s] \n", "100%|██████████| 500/500 [00:02<00:00, 224it/s] \n" ] } ], "source": [ "import time\n", "\n", "sizes = 500, 750, 1000, 1500, 2000, 3000, 5000, 7500, 10000, 15000, 20000, 30000, 50000 \n", "times, sparse_times = [], []\n", "for n in sizes:\n", " X = numpy.random.choice(2, size=(n, 4000), p=[0.99, 0.01]).astype('float64')\n", " \n", " tic = time.time()\n", " FeatureBasedSelection(500, 'sqrt', optimizer='naive', verbose=True).fit(X)\n", " times.append(time.time() - tic)\n", " \n", " X = csr_matrix(X)\n", "\n", " tic = time.time()\n", " FeatureBasedSelection(500, 'sqrt', optimizer='naive', verbose=True).fit(X)\n", " sparse_times.append(time.time() - tic)" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "ratio = numpy.array(times) / numpy.array(sparse_times)\n", "\n", "plt.figure(figsize=(12, 4))\n", "plt.subplot(121)\n", "plt.title(\"Sparse and Dense Timings\", fontsize=14)\n", "plt.plot(times, label=\"Dense Time\")\n", "plt.plot(sparse_times, label=\"Sparse Time\")\n", "plt.legend(fontsize=12)\n", "plt.xticks(range(len(sizes)), sizes, rotation=45)\n", "plt.xlabel(\"Number of Examples\", fontsize=12)\n", "plt.ylabel(\"Time (s)\", fontsize=12)\n", "\n", "plt.subplot(122)\n", "plt.title(\"Speed Improvement of Sparse Array\", fontsize=14)\n", "plt.plot(ratio)\n", "plt.xticks(range(len(sizes)), sizes, rotation=45)\n", "plt.xlabel(\"Number of Examples\", fontsize=12)\n", "plt.ylabel(\"Dense Time / Sparse Time\", fontsize=12)\n", "\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "It looks like, at a fixed sparsity, the larger the data set is, the larger the speed up is.\n", "\n", "What happens if we vary the number of features in a data set with a fixed number of examples and sparsity?" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 500/500 [00:00<00:00, 5.26kit/s]\n", "100%|██████████| 500/500 [00:00<00:00, 3.32kit/s]\n", "100%|██████████| 500/500 [00:00<00:00, 6.42kit/s]\n", "100%|██████████| 500/500 [00:00<00:00, 3.22kit/s]\n", "100%|██████████| 500/500 [00:00<00:00, 4.00kit/s]\n", "100%|██████████| 500/500 [00:00<00:00, 3.77kit/s]\n", "100%|██████████| 500/500 [00:00<00:00, 1.66kit/s]\n", "100%|██████████| 500/500 [00:00<00:00, 3.00kit/s]\n", "100%|██████████| 500/500 [00:00<00:00, 1.48kit/s]\n", "100%|██████████| 500/500 [00:00<00:00, 2.96kit/s]\n", "100%|██████████| 500/500 [00:00<00:00, 833it/s] \n", "100%|██████████| 500/500 [00:00<00:00, 2.53kit/s]\n", "100%|██████████| 500/500 [00:00<00:00, 648it/s] \n", "100%|██████████| 500/500 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76.2it/s]\n" ] } ], "source": [ "sizes = 5, 10, 25, 50, 100, 150, 200, 250, 500, 1000, 2000, 5000, 10000, 15000, 20000, 25000\n", "times, sparse_times = [], []\n", "for d in sizes:\n", " X = numpy.random.choice(2, size=(10000, d), p=[0.99, 0.01]).astype('float64')\n", " \n", " tic = time.time()\n", " FeatureBasedSelection(500, 'sqrt', optimizer='naive', verbose=True).fit(X)\n", " times.append(time.time() - tic)\n", " \n", " X = csr_matrix(X)\n", "\n", " tic = time.time()\n", " FeatureBasedSelection(500, 'sqrt', optimizer='naive', verbose=True).fit(X)\n", " sparse_times.append(time.time() - tic)" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "ratio = numpy.array(times) / numpy.array(sparse_times)\n", "\n", "plt.figure(figsize=(12, 4))\n", "plt.subplot(121)\n", "plt.title(\"Sparse and Dense Timings\", fontsize=14)\n", "plt.plot(times, label=\"Dense Time\")\n", "plt.plot(sparse_times, label=\"Sparse Time\")\n", "plt.legend(fontsize=12)\n", "plt.xticks(range(len(sizes)), sizes, rotation=45)\n", "plt.xlabel(\"Number of Examples\", fontsize=12)\n", "plt.ylabel(\"Time (s)\", fontsize=12)\n", "\n", "plt.subplot(122)\n", "plt.title(\"Speed Improvement of Sparse Array\", fontsize=14)\n", "plt.plot(ratio, label=\"Dense Time\")\n", "plt.legend(fontsize=12)\n", "plt.xticks(range(len(sizes)), sizes, rotation=45)\n", "plt.xlabel(\"Number of Examples\", fontsize=12)\n", "plt.ylabel(\"Dense Time / Sparse Time\", fontsize=12)\n", "\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Looks like we're getting a similar speed improvement as we increase the number of features.\n", "\n", "Lastly, what happens when we change the sparsity?" ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 500/500 [00:14<00:00, 34.9it/s] \n", "100%|██████████| 500/500 [00:24<00:00, 20.5it/s] \n", "100%|██████████| 500/500 [00:14<00:00, 35.3it/s] \n", "100%|██████████| 500/500 [00:24<00:00, 20.1it/s] \n", "100%|██████████| 500/500 [00:14<00:00, 34.5it/s] \n", "100%|██████████| 500/500 [00:24<00:00, 20.8it/s] \n", "100%|██████████| 500/500 [00:14<00:00, 35.3it/s] \n", "100%|██████████| 500/500 [00:24<00:00, 20.5it/s] \n", "100%|██████████| 500/500 [00:14<00:00, 34.9it/s] \n", "100%|██████████| 500/500 [00:23<00:00, 21.3it/s] \n", "100%|██████████| 500/500 [00:14<00:00, 35.3it/s] \n", "100%|██████████| 500/500 [00:22<00:00, 22.6it/s] \n", "100%|██████████| 500/500 [00:14<00:00, 34.8it/s] \n", "100%|██████████| 500/500 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0.99, 0.995, 0.999\n", "times, sparse_times = [], []\n", "for p in ps:\n", " X = numpy.random.choice(2, size=(50000, 1000), p=[p, 1-p]).astype('float64')\n", " \n", " tic = time.time()\n", " FeatureBasedSelection(500, 'sqrt', optimizer='naive', verbose=True).fit(X)\n", " times.append(time.time() - tic)\n", " \n", " X = csr_matrix(X)\n", "\n", " tic = time.time()\n", " FeatureBasedSelection(500, 'sqrt', optimizer='naive', verbose=True).fit(X)\n", " sparse_times.append(time.time() - tic)" ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "ratio = numpy.array(times) / numpy.array(sparse_times)\n", "\n", "plt.figure(figsize=(12, 4))\n", "plt.subplot(121)\n", "plt.title(\"Sparse and Dense Timings\", fontsize=14)\n", "plt.plot(times, label=\"Dense Time\")\n", "plt.plot(sparse_times, label=\"Sparse Time\")\n", "plt.legend(fontsize=12)\n", "plt.xticks(range(len(ps)), ps, rotation=45)\n", "plt.xlabel(\"% Sparsity\", fontsize=12)\n", "plt.ylabel(\"Time (s)\", fontsize=12)\n", "\n", "plt.subplot(122)\n", "plt.title(\"Speed Improvement of Sparse Array\", fontsize=14)\n", "plt.plot(ratio, label=\"Dense Time\")\n", "plt.legend(fontsize=12)\n", "plt.xticks(range(len(ps)), ps, rotation=45)\n", "plt.xlabel(\"% Sparsity\", fontsize=12)\n", "plt.ylabel(\"Dense Time / Sparse Time\", fontsize=12)\n", "\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This looks like it may be the most informative plot. This says that, given data sets of the same size, operating on a sparse array will be significantly slower than a dense array until the data set gets to a certain sparsity level. For this data set it was approximately 75% zeros, but for other data sets it may differ." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "These examples have so far focused on the time it takes to select using feature based functions. However, facility location functions can take sparse input, as long as it is the pre-computed similarity matrix that is sparse, not the feature matrix." ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [], "source": [ "X = numpy.random.uniform(0, 1, size=(6000, 6000))\n", "X = (X + X.T) / 2.\n", "X[X < 0.9] = 0.0\n", "X_sparse = csr_matrix(X)" ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 500/500 [00:08<00:00, 60.3it/s] \n" ] }, { "data": { "text/plain": [ "" ] }, "execution_count": 20, "metadata": {}, "output_type": "execute_result" } ], "source": [ "FacilityLocationSelection(500, 'precomputed', optimizer='naive', verbose=True).fit(X)" ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 500/500 [00:00<00:00, 1.13kit/s]\n" ] }, { "data": { "text/plain": [ "" ] }, "execution_count": 21, "metadata": {}, "output_type": "execute_result" } ], "source": [ "FacilityLocationSelection(500, 'precomputed', optimizer='naive', verbose=True).fit(X_sparse)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "It looks selection works significantly faster on a sparse array than on a dense one. We can do a similar type of analysis as before to analyze the components." ] }, { "cell_type": "code", "execution_count": 22, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 500/500 [00:00<00:00, 4.52kit/s]\n", "100%|██████████| 500/500 [00:00<00:00, 3.68kit/s]\n", "100%|██████████| 500/500 [00:00<00:00, 2.20kit/s]\n", "100%|██████████| 500/500 [00:00<00:00, 3.93kit/s]\n", "100%|██████████| 500/500 [00:00<00:00, 1.17kit/s]\n", "100%|██████████| 500/500 [00:00<00:00, 3.06kit/s]\n", "100%|██████████| 500/500 [00:00<00:00, 556it/s] \n", "100%|██████████| 500/500 [00:00<00:00, 2.85kit/s]\n", "100%|██████████| 500/500 [00:01<00:00, 296it/s] \n", "100%|██████████| 500/500 [00:00<00:00, 2.85kit/s]\n", "100%|██████████| 500/500 [00:02<00:00, 220it/s] \n", "100%|██████████| 500/500 [00:00<00:00, 2.06kit/s]\n", "100%|██████████| 500/500 [00:03<00:00, 159it/s] \n", "100%|██████████| 500/500 [00:00<00:00, 2.02kit/s]\n", "100%|██████████| 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range(500, 8001, 500)\n", "times, sparse_times = [], []\n", "for d in sizes:\n", " X = numpy.random.uniform(0, 1, size=(d, d)).astype('float64')\n", " X = (X + X.T) / 2\n", " X[X <= 0.9] = 0\n", " \n", " tic = time.time()\n", " FacilityLocationSelection(500, 'precomputed', optimizer='naive', verbose=True).fit(X)\n", " times.append(time.time() - tic)\n", " \n", " X = csr_matrix(X)\n", "\n", " tic = time.time()\n", " FacilityLocationSelection(500, 'precomputed', optimizer='naive', verbose=True).fit(X)\n", " sparse_times.append(time.time() - tic)" ] }, { "cell_type": "code", "execution_count": 23, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "ratio = numpy.array(times) / numpy.array(sparse_times)\n", "\n", "plt.figure(figsize=(12, 4))\n", "plt.subplot(121)\n", "plt.title(\"Sparse and Dense Timings\", fontsize=14)\n", "plt.plot(times, label=\"Dense Time\")\n", "plt.plot(sparse_times, label=\"Sparse Time\")\n", "plt.legend(fontsize=12)\n", "plt.xticks(range(len(sizes)), sizes, rotation=45)\n", "plt.xlabel(\"Number of Examples\", fontsize=12)\n", "plt.ylabel(\"Time (s)\", fontsize=12)\n", "\n", "plt.subplot(122)\n", "plt.title(\"Speed Improvement of Sparse Array\", fontsize=14)\n", "plt.plot(ratio, label=\"Dense Time\")\n", "plt.legend(fontsize=12)\n", "plt.xticks(range(len(sizes)), sizes, rotation=45)\n", "plt.xlabel(\"Number of Examples\", fontsize=12)\n", "plt.ylabel(\"Dense Time / Sparse Time\", fontsize=12)\n", "\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 24, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 500/500 [00:01<00:00, 413it/s] \n", "100%|██████████| 500/500 [00:01<00:00, 318it/s] \n", "100%|██████████| 500/500 [00:00<00:00, 585it/s] \n", "100%|██████████| 500/500 [00:01<00:00, 280it/s] \n", "100%|██████████| 500/500 [00:00<00:00, 558it/s] \n", "100%|██████████| 500/500 [00:01<00:00, 293it/s] \n", "100%|██████████| 500/500 [00:00<00:00, 592it/s] \n", "100%|██████████| 500/500 [00:01<00:00, 257it/s] \n", "100%|██████████| 500/500 [00:00<00:00, 590it/s] \n", "100%|██████████| 500/500 [00:01<00:00, 302it/s] \n", "100%|██████████| 500/500 [00:00<00:00, 584it/s] \n", "100%|██████████| 500/500 [00:01<00:00, 287it/s] \n", "100%|██████████| 500/500 [00:00<00:00, 533it/s] \n", "100%|██████████| 500/500 [00:01<00:00, 324it/s] \n", "100%|██████████| 500/500 [00:01<00:00, 490it/s] \n", "100%|██████████| 500/500 [00:01<00:00, 480it/s] \n", "100%|██████████| 500/500 [00:00<00:00, 523it/s] \n", "100%|██████████| 500/500 [00:00<00:00, 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FacilityLocationSelection(500, 'precomputed', optimizer='naive', verbose=True).fit(X)\n", " times.append(time.time() - tic)\n", " \n", " X = csr_matrix(X)\n", "\n", " tic = time.time()\n", " FacilityLocationSelection(500, 'precomputed', optimizer='naive', verbose=True).fit(X)\n", " sparse_times.append(time.time() - tic)" ] }, { "cell_type": "code", "execution_count": 25, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "ratio = numpy.array(times) / numpy.array(sparse_times)\n", "\n", "plt.figure(figsize=(12, 4))\n", "plt.subplot(121)\n", "plt.title(\"Sparse and Dense Timings\", fontsize=14)\n", "plt.plot(times, label=\"Dense Time\")\n", "plt.plot(sparse_times, label=\"Sparse Time\")\n", "plt.legend(fontsize=12)\n", "plt.xticks(range(len(ps)), ps, rotation=45)\n", "plt.xlabel(\"% Sparsity\", fontsize=12)\n", "plt.ylabel(\"Time (s)\", fontsize=12)\n", "\n", "plt.subplot(122)\n", "plt.title(\"Speed Improvement of Sparse Array\", fontsize=14)\n", "plt.plot(ratio, label=\"Dense Time\")\n", "plt.legend(fontsize=12)\n", "plt.xticks(range(len(ps)), ps, rotation=45)\n", "plt.xlabel(\"% Sparsity\", fontsize=12)\n", "plt.ylabel(\"Dense Time / Sparse Time\", fontsize=12)\n", "\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Similarly to feature based selection, using a sparse array is only faster than a dense array when the array gets to a certain level of sparsity, but can then be significantly faster." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.4" } }, "nbformat": 4, "nbformat_minor": 2 } jmschrei-apricot-bf86e69/tutorials/4. Defining Custom Functions.ipynb000066400000000000000000000676621414554015600256400ustar00rootroot00000000000000{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "### Defining Custom Functions\n", "\n", "Although apricot has several feature-based and graph-based submodular functions implemented, the full space of submodular functions is too large to be stored on GitHub. Fortunately, for those who want to optimize their own functions, the apricot makes it easy to define custom functions and optimize them using the built-in optimizers. \n", "\n", "This tutorial will cover two ways of optimizing custom functions using apricot: (1) writing a function that simply returns the quality of any set of examples that is passed in and wrapping it with a custom selection objection, or (3) writing a class in the style of the existing selectors. The first approach is likely faster to implement but slower to execute, because a key aspect of the selection objects is using cached statistics to speed up calculations. Regardless of the approach taken, the existing optimizers can be applied to either." ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Populating the interactive namespace from numpy and matplotlib\n" ] } ], "source": [ "%pylab inline\n", "numpy.random.seed(0)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's start off with the simplest way to optimize a custom function: by defining a set function and passing it in to `CustomSelection` or `CustomGraphSelection`. These selectors encode all the functionality needed for performing selection, and are initialized in the same way as the built-in selector objects, except that the user also passes in the function you want optimized. \n", "\n", "The custom function should take in a matrix where each row is an example in the selected set and each column is an attribute about that example. If the function is feature-based, each column should be a feature (and `CustomSelection` should be used); if the function is graph-based, each column should be the similarity to an example in the ground set and there should be a number of columns equal to the number of elements in the ground set (and `CustomGraphSelection` should be used)." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Custom Feature-Based Selection\n", "\n", "The `CustomSelection` object serves as a wrapper around a feature-based function. A function is \"feature-based\" when it relies on the feature values of an example rather than the similarity with other examples. The practical importance of this distinction is that, usually, feature-based functions can be optimized efficiently and scale to massive data sets because they do not require storing a similarity matrix that is quadratic with the number of examples.\n", "\n", "The built-in `FeatureBasedSelection` and `MaxCoverageSelection` objects wrap examples of feature-based functions. To demonstrate that the custom selection object works, let's implement a custom version of the function implemented in `FeatureBasedSelection` and compare it against the built-in object.\n", "\n", "Here is the submodular function:" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "def sqrt_feature_based_function(X):\n", " return numpy.sqrt(X.sum(axis=0)).sum()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can wrap our function using the `CustomSelection` object." ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "from apricot import CustomSelection\n", "\n", "model = CustomSelection(100, sqrt_feature_based_function, optimizer='naive', verbose=True)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now let's create a data set of random non-negative values to apply our method to." ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "X = numpy.exp(numpy.random.randn(10000, 100))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now, let's compare against the built-in version." ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(True, -2.0747847884194925e-12)" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from apricot import FeatureBasedSelection\n", "\n", "model = CustomSelection(100, sqrt_feature_based_function, optimizer='naive')\n", "model.fit(X)\n", "\n", "model0 = FeatureBasedSelection(100, 'sqrt', optimizer='naive')\n", "model0.fit(X)\n", "\n", "numpy.all(model.ranking == model0.ranking), (model.gains - model0.gains).sum()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Great! It looks like both implementations are selecting the same examples and reporting the same gain. \n", "\n", "Now, let's make sure that we get the same subset even when we use a more complicated optimization method (be sure to set the same random state when using an optimizer that uses random values)." ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(True, -3.979039320256561e-13)" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "model = CustomSelection(100, sqrt_feature_based_function, optimizer='stochastic', random_state=0)\n", "model.fit(X)\n", "\n", "model0 = FeatureBasedSelection(100, 'sqrt', optimizer='stochastic', random_state=0)\n", "model0.fit(X)\n", "\n", "numpy.all(model.ranking == model0.ranking), (model.gains - model0.gains).sum()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "It looks like we're getting the same subset even with a stochastic optimizer.\n", "\n", "Now, let's look at timing. How much faster is the built-in feature-based function selection than the custom selector?" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "7.56 s ± 40.5 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)\n", "1.26 s ± 5.43 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)\n" ] } ], "source": [ "model1 = CustomSelection(100, sqrt_feature_based_function, optimizer='naive')\n", "model2 = FeatureBasedSelection(100, 'sqrt', optimizer='naive')\n", "\n", "%timeit model1.fit(X)\n", "%timeit model2.fit(X)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Looks like the built-in implementation is much faster than our custom function implementation. In more thorough evaluations not shown here, it takes roughly 1s for `FeatureBasedSelection` to get initialized, and that increasing the number of selected examples or the size of the data set does not have much of an effect. In contrast, the `CustomSelection` object scales linearly with the number of examples selected and with the size of the data set. \n", "\n", "Although the previous example focused on recreating the existing feature-based selector, the real benefit of using the `CustomSelector` is that any submodular function can be passed in and optimized. Let's build a weird function that is a mixture of two step functions. To ensure that this function is submodular and that optimization is proceeding reasonably, let's compare the results we get from using the naive greedy algorithm to the lazy greedy algorithm. When the underlying function is not submodular the two will diverge, with the naive greedy algorithm producing the correct results." ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(True, 0.0)" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "def weird_function(X):\n", " X1, X2 = X > 1, X < 2\n", " return numpy.sqrt((X * X1).sum(axis=0)).sum() + numpy.log1p((X2 * X).sum(axis=0)).sum() \n", "\n", "model1 = CustomSelection(100, weird_function, optimizer='naive')\n", "model2 = CustomSelection(100, weird_function, optimizer='lazy')\n", "\n", "model1.fit(X)\n", "model2.fit(X)\n", "\n", "numpy.all(model1.ranking == model2.ranking), (model1.gains - model2.gains).sum()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Great! Both optimizers are producing the same results even though they are optimizing this weird function.\n", "\n", "One can also conveniently pass in parameters to the custom function as a dictionary to the `function_kwds` parameter in the selector. This dictionary gets passed to the function as keyword arguments, and so the keys in the dictionary should correspond to the parameter names in the custom function that is passed in. \n", "\n", "Let's see the use of passing parameters through the selector in the context of making a custom function that is a mixture of two objectives with weights that can be tuned. We can compare the results of this to the built-in mixture selector that offers the same functionality." ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(True, -8.752998326144734e-13)" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from apricot import MixtureSelection\n", "\n", "def mixture_function(X, w0=1.0, w1=1.0):\n", " X_sum = X.sum(axis=0)\n", " return w0 * numpy.sqrt(X_sum).sum() + w1 * numpy.log1p(X_sum).sum()\n", "\n", "model1 = CustomSelection(100, mixture_function, function_kwds={'w0': 0.3, 'w1': 1.8}, optimizer='naive')\n", "model2 = MixtureSelection(100, [FeatureBasedSelection(100, 'sqrt'), FeatureBasedSelection(100, 'log')],\n", " weights=[0.3, 1.8])\n", "\n", "model1.fit(X)\n", "model2.fit(X)\n", "\n", "numpy.all(model1.ranking == model2.ranking), (model1.gains - model2.gains).sum()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Custom Graph-Based Selection\n", "\n", "Arguably graph-based functions, such as facility location and graph cut, are much more popular in the literature. These functions differ from feature-based functions in that the optimization proceeds over similarities between examples rather than the feature-values themselves. Indeed, one need not even have featurized examples at all: for instance, if your examples are locations and the \"similarity\" is derived from the physical distance between the locations, there is no need to even have underlying features (though for this example the underlying features might be the long/lat coordinates of the locations) (See Example B: Airport Selection for a more in-depth example).\n", "\n", "Our graph-based function should be implemented in the same general manner as a feature-based function. The function will take in a set of potential selected items and return the quality of that set. However, this function will assume that the columns on this data set will be the similarities between the example and all examples in the ground set. For example, here is the facility location objective function." ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [], "source": [ "def facility_location_function(X):\n", " return X.max(axis=0).sum()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "All we have to do is pop this function into a `CustomGraphSelection` object. Note that we do not need to specify a method for turning data sets into similarity matrices. In the same way that the built-in graph-based functions can handle this conversion internally (and have a parameter `metric` that defines how similarities are calculated), the `CustomGraphSelection` object can also handle this conversion internally. If you want to pass in a precomputed similarity matrix, you can specify `metric='precomputed'`.\n", "\n", "Here, we will use the lazy optimizer because it provides massive speed boosts over the naive optimizer on graph-based functions." ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [], "source": [ "from apricot import CustomGraphSelection\n", "\n", "model = CustomGraphSelection(100, facility_location_function, optimizer='lazy', verbose=True)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's compare against the built-in facility location selector to ensure the implementation is correct." ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(True, -1.8474111129762605e-13)" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from apricot import FacilityLocationSelection\n", "\n", "model = CustomGraphSelection(100, facility_location_function, metric='corr', optimizer='lazy')\n", "model.fit(X)\n", "\n", "model0 = FacilityLocationSelection(100, metric='corr', optimizer='lazy')\n", "model0.fit(X)\n", "\n", "numpy.all(model.ranking == model0.ranking), (model.gains - model0.gains).sum()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "All of the same cool functionality we showed for feature-based functions with `CustomSelection` is also possible with graph-based functions and `CustomGraphSelection`." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Writing your own selection objects\n", "\n", "Although the `CustomSelection` and `CustomGraphSelection` wrappers are simple to use, they are likely much slower than using the built-in selectors. A reason for this is that the functions themselves are sped up using numba, making them significantly faster and multi-thread parallel. However, even if users wrote their own numba functions and wrapped them in the selection wrappers (which is certainly possible), the built-in selectors would likely still be faster. This is because the built-in selectors are able to cache function-specific statistics about the stored value at each iteration which can be used to speed up the calculation. \n", "\n", "For example, evaluating a feature-based function involve calculating the sum of each column of the selected set, applying a concave function, and then summing the result. However, if we already knew the sum of each column from the selected set in the previous iteration, we could speed up the computation significantly by simply adding the new element to these stored values element-wise.\n", "\n", "Likewise, evaluating a facility-location function involves calculating the nearest selected example for each example in the ground set. If you cache the similarity between each example in the ground set and its nearest selected example, you simply need to see whether the proposed newest item is more similar than the currently stored most-similar example using an element-wise max operation.\n", "\n", "Because the wrapped custom functions only evaluate the quality of a set, they do not even know which items were ultimately selected. Unfortunately, the set of statistics that would be valuable to cache depends on the objective function itself, and so there is no single set of statistics that could be passed into any function.\n", "\n", "If the wrapped selectors are not fast enough, one may choose to implement their own selector from scratch. Going this route allows the user to both define the function that they want to optimize as well as the statistics that should be cached.\n", "\n", "Below is an example of the basic skeleton that needs to be filled in to define an entire selector." ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [], "source": [ "from apricot import BaseSelection\n", "\n", "class SkeletonSelection(BaseSelection):\n", " # If you're defining a feature-based function you should inherit from BaseSelection\n", " # If you're defining a graph-based function and want to make use of the built-in\n", " # similarity calculations, you should inherit from BaseGraphSelection, which itself\n", " # inherits from BaseSelection.\n", " \n", " def __init__(self, n_samples, initial_subset=None, optimizer='two-stage', \n", " optimizer_kwds={}, n_jobs=1, random_state=None, \n", " verbose=False):\n", " \n", " # If defining a graph-based function, you should also include a metric\n", " # parameter, with the default in apricot being \"metric='euclidean'\".\n", " # You will also need to pass the metric into the call to `super` below\n", " # by adding \"metric=metric\" anywhere.\n", " \n", " # This function must call `__init__` of the base class, as below. \n", " # Other custom arguments, such as hyperparameters for the underlying\n", " # submodular function, should be stored in this method. \n", " \n", " super(SkeletonSelection, self).__init__(n_samples=n_samples, \n", " initial_subset=initial_subset, optimizer=optimizer, \n", " optimizer_kwds=optimizer_kwds, n_jobs=n_jobs, random_state=random_state, \n", " verbose=verbose)\n", "\n", " def _initialize(self, X):\n", " # This function includes any logic that should be executed before the\n", " # selection process begins, such as initializing cached values and\n", " # setting them to values from the initial subset.\n", " \n", " super(SkeletonSelection, self)._initialize(X)\n", "\n", " def _calculate_gains(self, X, idxs=None):\n", " # This function returns the gain in the objective function that each\n", " # item in X[idxs] would return. The returned vector should be of\n", " # length len(idxs) or len(self.idxs) if idxs is None. The value of\n", " # gains[i] should be the gain associated with adding X[idxs[i]] to\n", " # the selected set.\n", "\n", " idxs = idxs if idxs is not None else self.idxs\n", " gains = numpy.zeros(idxs.shape[0], dtype='float64')\n", " return gains\n", "\n", " def _select_next(self, X, gain, idx):\n", " # This function takes in a single example, X, the corresponding gain\n", " # of adding this element to the selected set, and the index of this\n", " # example in the full data set, and updates the cached values accordingly.\n", "\n", " super(SkeletonSelection, self)._select_next(X, gain, idx)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Each of the methods in the above class must be filled out, but likely the most important method is `_calculate_gains`. Notably, this method DOES NOT simply return the quality of some subset `X`, as the functions we wrapped before did. Rather, this method returns the gain that each element in `X[idxs]` would provide if it were added as the next item. Thus, each iteration of selection using the naive optimizer involves a single call to `_calculate_gains` followed by choosing the element with the largest gain. This calculates the gains for only those items indexes in `idxs` because there is no need to calculate the gain for elements that have already been selected, and also because some optimization strategies involve sampling only a portion of the data set to evaluate.\n", "\n", "Let's see an example of a simple implementation of a feature-based function." ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [], "source": [ "from apricot import BaseSelection\n", "\n", "class SqrtFeatureBasedSelector(BaseSelection):\n", " '''This is a minimal implementation of a feature-based function with a sqrt.'''\n", " \n", " def __init__(self, n_samples, initial_subset=None, optimizer='two-stage', \n", " optimizer_kwds={}, n_jobs=1, random_state=None, \n", " verbose=False):\n", " \n", " super(SqrtFeatureBasedSelector, self).__init__(n_samples=n_samples, \n", " initial_subset=initial_subset, optimizer=optimizer, \n", " optimizer_kwds=optimizer_kwds, n_jobs=n_jobs, random_state=random_state, \n", " verbose=verbose)\n", "\n", " def _initialize(self, X):\n", " # The cached values will be the column sums.\n", " self.current_values = numpy.zeros(X.shape[1])\n", " \n", " # We should also keep track of the total gain thus far\n", " # so we can calculate the marginal gain of adding each\n", " # element quickly.\n", " self.total_gain = 0.0\n", " super(SqrtFeatureBasedSelector, self)._initialize(X)\n", "\n", " def _calculate_gains(self, X, idxs=None):\n", " # The gains are the increase in the objective. This can be\n", " # calculated as the objective value of each example minus\n", " # the stored accumulated gain. Given that this is trivially\n", " # vectorizable, the code is not actually complex.\n", "\n", " idxs = idxs if idxs is not None else self.idxs\n", " gains = numpy.sqrt(X[idxs] + self.current_values).sum(axis=1) - self.total_gain\n", " return gains\n", "\n", " def _select_next(self, X, gain, idx):\n", " # Because we are storing column sums we only need to do an\n", " # element-wise addition to update the cached values and\n", " # another addition to store the accumulated gain.\n", " \n", " self.current_values += X\n", " self.total_gain += gain\n", " super(SqrtFeatureBasedSelector, self)._select_next(X, gain, idx)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's compare the results from this custom object to the built-in feature-based selector and to the wrapped custom function." ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[9403 9550 3391 1786 9858 5697 1647 5221 5379 1053] \n", " [136.62059032 69.77395573 52.10092935 43.88411145 39.33852143\n", " 35.93244774 32.49506686 30.3090869 27.89198382 25.90773747] \n", "\n", "[9403 9550 3391 1786 9858 5697 1647 5221 5379 1053] \n", " [136.62059032 69.77395573 52.10092935 43.88411145 39.33852143\n", " 35.93244774 32.49506686 30.3090869 27.89198382 25.90773747] \n", "\n", "[9403 9550 3391 1786 9858 5697 1647 5221 5379 1053] \n", " [136.62059032 69.77395573 52.10092935 43.88411145 39.33852143\n", " 35.93244774 32.49506686 30.3090869 27.89198382 25.90773747] \n", "\n" ] } ], "source": [ "model0 = FeatureBasedSelection(10, 'sqrt', optimizer='naive')\n", "model0.fit(X)\n", "\n", "model1 = CustomSelection(10, sqrt_feature_based_function, optimizer='naive')\n", "model1.fit(X)\n", "\n", "model2 = SqrtFeatureBasedSelector(10, optimizer='naive')\n", "model2.fit(X)\n", "\n", "print(model0.ranking, \"\\n\", model0.gains, \"\\n\")\n", "print(model1.ranking, \"\\n\", model1.gains, \"\\n\")\n", "print(model2.ranking, \"\\n\", model2.gains, \"\\n\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Good news, it looks like all of them select the same elements and calculate the same gains for each one. \n", "\n", "Now, let's compare timings." ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "1.27 s ± 5.91 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)\n", "7.6 s ± 49.5 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)\n", "486 ms ± 1.44 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)\n" ] } ], "source": [ "model0 = FeatureBasedSelection(100, 'sqrt', optimizer='naive')\n", "%timeit model0.fit(X)\n", "\n", "model1 = CustomSelection(100, sqrt_feature_based_function, optimizer='naive')\n", "%timeit model1.fit(X)\n", "\n", "model2 = SqrtFeatureBasedSelector(100, optimizer='naive')\n", "%timeit model2.fit(X)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "As we saw earlier, the wrapper for custom functions is far slower than the built-in selector. Interestingly, it seems like the custom feature-based method we just implemented might be faster than the built-in selector. Does this hold up with larger data sets, or is it only the case for the somewhat small toy data set we were using throughout this notebook?" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "25.8 s ± 692 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)\n" ] } ], "source": [ "X = numpy.exp(numpy.random.randn(100000, 500))\n", "\n", "model0 = FeatureBasedSelection(1000, 'sqrt', optimizer='naive')\n", "%timeit model0.fit(X)\n", "\n", "model2 = SqrtFeatureBasedSelector(1000, optimizer='naive')\n", "%timeit model2.fit(X)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "It looks like the built-in selector has a small startup cost (around 1s), as we saw earlier in this tutorial, but ends up scaling better to larger problems." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Conclusions\n", "\n", "In this notebook we saw how one can use apricot to optimize custom functions in two convenient ways. The simplest way is to define a function that evaluates a set and wrap it with either `CustomSelection` or `CustomGraphSelection`, but an alternative that potentially can be significantly faster is to define an entire selection object. Either approach gives a user access to the wide variety of features implemented in apricot, such as optimizing their function using any predefined optimization algorithm.\n", "\n", "Although the functions that we optimized here were entirely submodular, in keeping with the focus of apricot, the custom functions need not necessarily be. Recent work has suggested that supermodular functions can approximately optimized well, in practice, using the same naive greedy algorithm that are used to optimize submodular function. The naive greedy algorithm will no longer have the same theoretical guarantees when applied to supermodular functions instead of submodular functions, but usage in apricot is the same: define a custom function and wrap it, or define a selector that caches statistics to speed up computation." ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.4" } }, "nbformat": 4, "nbformat_minor": 2 } jmschrei-apricot-bf86e69/tutorials/5. Defining Custom Optimizers.ipynb000066400000000000000000000162041414554015600260200ustar00rootroot00000000000000{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "### Defining Custom Optimizers\n", "\n", "Currently, apricot implements a range of different optimization approaches. In the same way that any optimizer in neural network libraries can be applied to any model, any optimizer in apricot can be applied to any submodular function and thus is agnostic to the details about it. This property is convenient when it comes to defining custom optimizers, because it means that one can focus entirely on the definition of the optimizer and then use it on any built-in (or even custom) function in apricot. " ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Populating the interactive namespace from numpy and matplotlib\n" ] } ], "source": [ "%pylab inline\n", "numpy.random.seed(0)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The skeleton of an optimizer object is simple, and has the following form." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "from apricot.optimizers import BaseOptimizer\n", "\n", "class SkeletonOptimizer(BaseOptimizer):\n", " # The optimizer object should always inherit from BaseOptimizer\n", " # or an object that inherits from BaseOptimizer.\n", "\n", " def __init__(self, function=None, random_state=None, n_jobs=None, \n", " verbose=False):\n", " # The optimzier object should take in the above parameters\n", " # and pass them in to the super function. Any optimizer-specific\n", " # hyperparameters should also be passed in here.\n", " \n", " super(SkeletonOptimizer, self).__init__(function=function, \n", " random_state=random_state, n_jobs=n_jobs, verbose=verbose)\n", "\n", " def select(self, X, k, sample_cost=None):\n", " # This is the key function. The `select` method should be called a\n", " # single time and returns either a subset of size k or a subset with\n", " # a weighted sum of less than or equal to k. \n", " \n", " raise NotImplementedError" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The `select` method is where the optimization algorithm is implemented. It uses the `_calculate_gains` and `_select_next` methods in the selection objects to determine the benefit of adding each element in and inform the selector of the next item to add to the set, respectively.\n", "\n", "Let's implement a new version of the naive greedy algorithm. This algorithm, at each iteration, calculates the gain that each element would provide if added to the subset, and then selects the item with the best gain. Due to the diminishing returns property of submodular functions, it is not guaranteed that the second best item at any particular iteration will be the best item the next iteration." ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "class SimpleNaiveGreedy(BaseOptimizer):\n", " def __init__(self, function=None, random_state=None, n_jobs=None, \n", " verbose=False):\n", " # The naive greedy algorithm has no hyperparameters.\n", " super(SimpleNaiveGreedy, self).__init__(function=function, \n", " random_state=random_state, n_jobs=n_jobs, verbose=verbose)\n", "\n", " def select(self, X, k, sample_cost=None):\n", " # This is a version of the naive greedy algorithm that ignores\n", " # sample weights, for demonstration purposes.\n", " \n", " for i in range(k):\n", " gains = self.function._calculate_gains(X)\n", " idx = numpy.argmax(gains)\n", " best_idx = self.function.idxs[idx]\n", "\n", " self.function._select_next(X[best_idx], gains[idx], best_idx)\n", "\n", " if self.verbose == True:\n", " self.function.pbar.update(1)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Simple! All we had to do is get the gains of each element, get the element with the largest gain (and index it properly), and then tell the selector which item was the best! Obviously, not all optimization strategies are this straightforward. For instance, the stochastic greedy algorithm involves evaluating subsets of points at each iteration and choosing the best item from different subsets at each iteration. Control over the precise elements being evaluated is important for that optimizer.\n", "\n", "How do we use this custom optimizer, though? Well, we just pass it in to the `optimizer` parameter that each selection has." ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "from apricot import FeatureBasedSelection\n", "\n", "model1 = FeatureBasedSelection(100, 'sqrt', optimizer='naive')\n", "model2 = FeatureBasedSelection(100, 'sqrt', optimizer=SimpleNaiveGreedy())" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Okay, now let's run it and make sure we get the same results." ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(True, 0.0)" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "X = numpy.exp(numpy.random.randn(10000, 100))\n", "\n", "model1.fit(X)\n", "model2.fit(X)\n", "\n", "numpy.all(model1.ranking == model2.ranking), (model1.gains - model2.gains).sum()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Great! Do they take the same amount of time?" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "1.27 s ± 9.92 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)\n", "1.21 s ± 9.76 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)\n" ] } ], "source": [ "%timeit model1.fit(X)\n", "%timeit model2.fit(X)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Looks like they do. That makes sense because most of the expensive calculation is being done within the selection object. The only thing being done here is taking an argmax of a vector, which is basically what the built-in optimizer is doing anyway." ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.4" } }, "nbformat": 4, "nbformat_minor": 4 } jmschrei-apricot-bf86e69/tutorials/6. Streaming Submodular Optimization.ipynb000066400000000000000000002753751414554015600274330ustar00rootroot00000000000000{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "### Streaming Submodular Optimization\n", "\n", "Sometimes, your data can't all be in memory at once to compute on. This can be because your data is so large that it cannot fit in memory, but it can also be because your data comes in the form of a stream without a known ending. In these settings, simple application of existing algorithms is not practical. Fortunately, streaming submodular optimization strategies have been developed that allow for efficient computation in either setting.\n", "\n", "In the streaming optimization setting, the optimizer is exposed to only a batch of data at a time and must make a decision on what examples to keep before seeing the next batch, without knowing beforehand how many total batches there will be. This problem is much more challenging than the original problem because it cannot go back to earlier batches and recalculate what the gain of each element would be given some good element in the current batch. The primary difficulty with developing streaming submodular optimization algorithms is that if the algorithm chooses elements too quickly, it may miss out on good elements later on, and if the algorithm is too reluctant to make choices, it may not even select an entire set of items. \n", "\n", "There exist several algorithms for performing submodular optimization in the streaming setting. Currently, apricot has the sieve greedy algorithm (http://www.cs.cornell.edu/~ashwin85/docs/frp0328-badanidiyuru.pdf) implemented. At a high level, this algorithm works by defining thresholds on an exponential scale (with a user specified fineness) that could be the objective value of the optimal subset and, in parallel, collects subsets that would be optimal if that objective value were true. As certain thresholds are found to be too small they are discarded, and as higher scoring examples are found, larger thresholds are instantiated. After any batch is observed the user can retrieve the best performing subset out of those still being considered.\n", "\n", "Let's see this in action." ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Populating the interactive namespace from numpy and matplotlib\n" ] } ], "source": [ "%pylab inline\n", "numpy.random.seed(0)\n", "\n", "import seaborn\n", "seaborn.set_style('whitegrid')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Feature-based Functions" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's start off by creating a data set made up of random values. By definition, we won't be able to construct a data set that cannot fit in memory here, but we can pretend that we can only see batches of data and compare the results there to the performance when performing normal selection on the entire data set." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "X = numpy.exp(numpy.random.randn(1000, 50))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can perform streaming submodular optimization using the `partial_fit` method, which is inspired by sklearn's API. " ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(array([ 0, 1, 2, 9, 27, 214, 257, 389, 459, 650]), 237.87425482868136)" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from apricot import FeatureBasedSelection\n", "\n", "model = FeatureBasedSelection(10, 'sqrt')\n", "model.partial_fit(X)\n", "model.ranking, sum(model.gains)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The `partial_fit` method is a batched version of the pure streaming algorithm, in which only a single example is seen at a time. Processing a minibatch of data is much faster than processing a single example at a time, due to parallelization and vectorization, but the algorithm will produce the exact same results regardless of the size of the data that it sees." ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(array([ 0, 1, 2, 9, 27, 214, 257, 389, 459, 650]), 237.87425482868136)" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "model = FeatureBasedSelection(10, 'sqrt')\n", "for i in range(0, 1000, 100):\n", " model.partial_fit(X[i:i+100])\n", "model.ranking, sum(model.gains)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "As a baseline to compare the performance of the streaming algorithm to, let's calculate the performance that we would get if we were able to apply the greedy algorithm. This should serve as an upper bound for the performance that we would expect to get." ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "253.9648444050834" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from apricot import FeatureBasedSelection\n", "\n", "model = FeatureBasedSelection(10, 'sqrt', optimizer='naive')\n", "model.fit(X)\n", "\n", "greedy_baseline = sum(model.gains)\n", "greedy_baseline" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Next, let's calculate the performance that we get if we chose a random set of points as a lower bound for performance. Because the streaming algorithm seems points one at a time, we'll intentionally choose to use the first points in the data set. An improperly tuned streaming algorithm may simply choose the first points that it sees to ensure that it can collect a subset of size $k$. Performing better than this means that the algorithm was able to choose better that it observes later on." ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "197.05616593843638" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "first_baseline = numpy.sqrt(X[:10].sum(axis=0)).sum()\n", "first_baseline" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "It looks like the 237.87 that we get from the streaming algorithm falls squarely between the upper bound of 253.96 and the lower bound of 197.06.\n", "\n", "However, the streaming algorithm has a hyperparameter, $\\epsilon$, which controls the fineness of the thresholds chosen. Setting this value to be small increases the number of thresholds that are considered, and setting it to be large increases the number of thresholds. $\\epsilon$ must be a positive value. Thus, small values of epsilon are more likely to estimate the true threshold value and, hence, return a subset that is the highest quality possible under the streaming setting.\n", "\n", "Let's take a look at the performance of the streaming algorithm as we scan over different values for $\\epsilon$." ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [], "source": [ "epsilons = 10 ** numpy.arange(-2.5, 1.1, 0.1)\n", "gains = []\n", "\n", "for epsilon in epsilons:\n", " model = FeatureBasedSelection(10, 'sqrt', optimizer_kwds={'epsilon': epsilon})\n", " model.partial_fit(X)\n", " gains.append(sum(model.gains))" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "scrolled": true }, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.plot([epsilons[0], epsilons[-1]], [greedy_baseline, greedy_baseline], color='k', label=\"Upper Bound\")\n", "plt.plot([epsilons[0], epsilons[-1]], [first_baseline, first_baseline], color='0.5', label=\"Lower Bound\")\n", "plt.scatter(epsilons, gains, color='m', label=\"Streaming Algorithm\")\n", "plt.legend(fontsize=12, loc=(1.05, 0.3))\n", "plt.xscale('log')\n", "plt.xlabel(\"$\\\\epsilon$\", fontsize=14)\n", "plt.ylabel(\"Objective Score\", fontsize=12)\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The results from this plot make sense. When $\\epsilon$ is small, the streaming algorithm returns a better subset than when $\\epsilon$ is large. At a certain point there is no additional benefit to decreasing $\\epsilon$ because the true threshold is already included. Likewise, when $\\epsilon$ gets too large, the nearest threshold to the true threshold is too far away and the best estimate is the trivial solution of returning the first $k$ items.\n", "\n", "At this point, you may be wondering why the streaming algorithm doesn't return a value near to the upper bound if the threshold that has been selected is close to the true one. Well, the reason is because the algorithm can do only a single pass through the data set. This means that if the best first example is near the end of the stream, the streaming algorithm has to select several other examples first before getting to it. Choosing some other element before the optimal best first element means, by definition, that the streaming algorithm must make sub-optimal choices. Thus, the algorithm will infrequently return the best set." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Facility Location\n", "\n", "The streaming algorithm becomes more complicated when used to optimize graph-based functions such as the facility location function. This is because optimization is performed on similarities between examples and, by construction, the streaming algorithm does not see all examples and so cannot calculate these similarities. An initial solution to this problem might be to calculate similarities of examples within the batch that is being observed. However, this strategy has several flaws. The first is that it could not work when only a single example is observed at a time. Another flaw is that the scale of the gains would change from batch to batch: if one batch contained many similar elements and the next many dissimilar ones, the gains would generally be larger for items in the first batch than in the second batch.\n", "\n", "There are a few potential solutions to this problem, which revolve around storing a reservoir of data and calculating similarities between newly observed items and this reservoir. The simplest way to populate this reservoir is to store the first $r$ elements, where $r$ is the size of the reservoir, that are observed. Although this strategy would work when the data is completely randomly distributed, and thus the first $r$ elements are a good representation of the entire data set, it does not work when the data is ordered or exhibits autocorrelation. For instance, if the data comes in the form of sensor measurements over time, taking the first $r$ elements means taking only a small time slice. A more complicated, and theoretically justified approach, is to use reservoir sampling in order to maintain a uniform sample of the data at any point in time. This is the approach that is implemented in apricot.\n", "\n", "The practical difference, for the user, between using the streaming algorithm on a feature-based function and on a graph-based function is that the reservoir size must be set in the selection object." ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(array([ 0, 1, 2, 13, 53, 62, 81, 136, 217, 229]), 123.01260436445489)" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from apricot import FacilityLocationSelection\n", "\n", "X_corr = numpy.corrcoef(X) ** 2\n", "\n", "model = FacilityLocationSelection(10, 'corr')\n", "model.partial_fit(X)\n", "model.ranking, X_corr[model.ranking].max(axis=0).sum()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We need to manually calculate the objective here because the gains are no longer calculated with respect to the entire data set. For a comparison with baseline methods we must calculate the objective function by hand.\n", "\n", "Let's take a look at the upper bound calculate using the naive greedy algorithm:" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(array([327, 438, 380, 503, 703, 136, 217, 719, 431, 906]), 147.3392467183915)" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "model = FacilityLocationSelection(10, 'corr')\n", "model.fit(X)\n", "\n", "naive_greedy = sum(model.gains)\n", "model.ranking, naive_greedy" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can also calculate the lower bound in the same manner as before by choosing the first $k$ elements" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "97.42153431903606" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "first_k = (numpy.corrcoef(X) ** 2)[:10].max(axis=0).sum()\n", "first_k" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We're seeing similar trends here as when we evaluated the feature-based function. \n", "\n", "Let's vary the size of the reservoir and see how that affects performance." ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [], "source": [ "sizes = numpy.arange(1, 1002, 10)\n", "gains = []\n", "\n", "for size in sizes:\n", " model = FacilityLocationSelection(10, 'corr', max_reservoir_size=size)\n", " model.partial_fit(X)\n", " gains.append(X_corr[model.ranking].max(axis=0).sum())" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.plot([sizes[0], sizes[-1]], [naive_greedy, naive_greedy], color='k', label=\"Naive Greedy\")\n", "plt.plot([sizes[0], sizes[-1]], [first_k, first_k], color='0.4', label=\"First K\")\n", "plt.scatter(sizes, gains, label='Streaming Algorithm')\n", "plt.legend(fontsize=12, loc=(1.05, 0.3))\n", "plt.xlabel(\"Max Reservoir Size\", fontsize=12)\n", "plt.ylabel(\"Objective Score\", fontsize=12)\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We observe the expected trend: as the size of the reservoir increases, so too does the objective score--- until a point. However, the scores of even similarly sized reservoirs seem to have a wide variance. This can be attributed to reservoir sampling being a stochastic approach and producing very different reservoirs even when set to the same size. " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Sometimes, you already have a reservoir that you would like to evaluate against. In this case, you can pass the reservoir (a $n$ by $d$ matrix of examples, not of similarities) into the selector using the `reservoir` keyword. This reservoir will be held constant throughout the selection process and not updated using reservoir sampling. Although the variance will decrease substantially when using a pre-defined reservoir because there is no sampling involved, there is the chance that a biased reservoir that is not truly representative of the entire stream will lead to suboptimal selected examples." ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [], "source": [ "gains3 = []\n", "\n", "for size in sizes:\n", " model = FacilityLocationSelection(10, 'corr', reservoir=X[:size])\n", " model.partial_fit(X)\n", " gains3.append(X_corr[model.ranking].max(axis=0).sum())" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.plot([sizes[0], sizes[-1]], [naive_greedy, naive_greedy], color='k', label=\"Naive Greedy\")\n", "plt.plot([sizes[0], sizes[-1]], [first_k, first_k], color='0.4', label=\"First K\")\n", "plt.scatter(sizes, gains, label='Reservoir Sampling')\n", "plt.scatter(sizes, gains3, label=\"Fixed Reservoir\")\n", "plt.legend(fontsize=12, loc=(1.05, 0.3))\n", "plt.xlabel(\"Max Reservoir Size\", fontsize=12)\n", "plt.ylabel(\"Objective Score\", fontsize=12)\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can see here that using a small number of examples from the beginning of the stream was not a great idea, because the optimization algorithm saw that the first elements of the stream were very representative of the reservoir (by definition) and didn't select a truly representative set. However, once the reservoir became big enough, it became a reasonable approximation of the diversity within the data set." ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.4" } }, "nbformat": 4, "nbformat_minor": 4 } jmschrei-apricot-bf86e69/tutorials/Example A. Facility Location on MNIST and Fashion-MNIST.ipynb000066400000000000000000010665061414554015600320470ustar00rootroot00000000000000{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "## Example A. Facility Location on MNIST and Fashion-MNIST\n", "\n", "Our first example will be a simple application of the facility location function to the MNIST and Fashion-MNIST data sets. These data sets are small images of numbers or articles of clothing, respectively. " ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Populating the interactive namespace from numpy and matplotlib\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Using Theano backend.\n" ] } ], "source": [ "import matplotlib\n", "matplotlib.use('pdf')\n", "\n", "%pylab inline\n", "\n", "import seaborn; seaborn.set_style('whitegrid')\n", "\n", "from keras.datasets import mnist\n", "from keras.datasets import fashion_mnist\n", "\n", "from sklearn.metrics import pairwise_distances\n", "\n", "from umap import UMAP\n", "from apricot import FacilityLocationSelection" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [], "source": [ "X_fashion = fashion_mnist.load_data()[0][0][::10]\n", "X_fashion = X_fashion.reshape(X_fashion.shape[0], 28*28)\n", "\n", "X_fashion_pairwise = pairwise_distances(X_fashion, metric=\"euclidean\", squared=True)" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/home/jmschr/anaconda3/lib/python3.7/site-packages/umap/umap_.py:1461: UserWarning: Using precomputed metric; transform will be unavailable for new data\n", " \"Using precomputed metric; transform will be unavailable for new data\"\n" ] } ], "source": [ "X_fashion_umap = UMAP(metric=\"precomputed\").fit_transform(X_fashion_pairwise)" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 10.0/10.0 [00:00<00:00, 68.0it/s]\n" ] }, { "data": { "text/plain": [ "" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ "model_fashion = FacilityLocationSelection(10, 'precomputed', verbose=True)\n", "model_fashion.fit(X_fashion_pairwise.max() - X_fashion_pairwise)" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(6, 5))\n", "plt.scatter(X_fashion_umap[:,0], X_fashion_umap[:,1], s=1, color=\"0.7\")\n", "plt.scatter(X_fashion_umap[model_fashion.ranking, 0], X_fashion_umap[model_fashion.ranking, 1], s=20, color=\"k\")\n", "plt.axis(\"off\")\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(12, 5))\n", "for i in range(10):\n", " plt.subplot(2, 5, i+1)\n", " plt.imshow(X_fashion[model_fashion.ranking[i]].reshape(28, 28), aspect='auto', cmap='Greys')\n", " plt.axis(\"off\")\n", " \n", "plt.tight_layout()\n", "plt.savefig(\"fashion-img.pdf\")\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/home/jmschr/anaconda3/lib/python3.7/site-packages/umap/umap_.py:1461: UserWarning: Using precomputed metric; transform will be unavailable for new data\n", " \"Using precomputed metric; transform will be unavailable for new data\"\n", "100%|██████████| 10.0/10.0 [00:00<00:00, 72.4it/s]\n" ] }, { "data": { "text/plain": [ "" ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" } ], "source": [ "X_digit = mnist.load_data()[0][0][::10]\n", "X_digit = X_digit.reshape(X_digit.shape[0], 28*28)\n", "\n", "X_digit_pairwise = pairwise_distances(X_digit, metric=\"euclidean\", squared=True)\n", "\n", "X_digit_umap = UMAP(metric=\"precomputed\").fit_transform(X_digit_pairwise)\n", "\n", "model_digit = FacilityLocationSelection(10, 'precomputed', verbose=True)\n", "model_digit.fit(X_digit_pairwise.max() - X_digit_pairwise)" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "data": { "image/png": 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YtKlCVVVomoaVlZUrFXhF0BWcKdbM1YphGHj69ClKpRL6/T7u378PWZaxsbHBGWy1WoVpmiMZlNPpRLfbxR/+8Aek02m0Wi0kk0n+XQ7H8E+63++j2+1iZ2cH1Wp1pDmj6zrW1tZ4l9d4J56yXnqOfr8fi4uLV+qN/zJ8Ph+63S5M04TT6RzJbunYELRhYm1tjevvHo8HoVAIhmGM6HCB4faJmZkZ6LrOmS4F6rm5OTQaDUxMTAB4sdXil7/8Jb797W9fmYEJsTlCcCFsbGywKL/ZbMJut6NcLmN/f58zJcpyZ2ZmEA6HeaXM0dER12273S5UVeVyAf1MIpGAJEkolUrweDxwu91IJpMIhUKoVCqo1+sIhUJYWFjAwcEB4vE4Dg4OsLu7i2w2i06ng6OjIxSLRVQqlWu18cAwDLRaLXS7XXzrW9/iYLexsYH19XXUajUsLi5CURTcuHED6+vrWFxchNvtRjgc5nPUbrcxNzeH3/3ud+zR8JOf/AS3bt1CJBLB7du3IUkStre3sb6+DtM0Ua/XEQ6HUSwWuZxEe9pu3rx5kYflnSEyXcGZM54hZbPZkS42mZ+MT0YRkiTB5XKhVCqh1WohHo/j8PCQvz4YDBCJROB2u9FsNhEIBLC4uIjf/OY3AID9/X1WOVB2DAwNuPf395HJZFgpYbPZAAyXMH722Wfo9/vw+/3XapAil8thZ2cHy8vLJ15oSO7lcDjw/PlzLguQs9j6+jprcn/605/iRz/6EXZ3dxGNRjmr9Xq9/DcxOzvLxz8Wi6FarULX9RF1yvgAx/uMCLqCM4dqpsViEYZhjDSxHA4Hut0uy7rsdjsURYGu62wdWK1Wcfv2bZaXKYqCUCgEVVVhs9k4IMdiMRb2A+DyAcnL6PbXGnQBsNNVv99nDXC/30elUrnS46incdrEHtXRe70ej1rTuThJCdJsNlGpVBCLxVAul5FIJPjn6I7GNE0sLS1hZWWFg/D6+jpUVR2RA7pcrjN8xeeLCLqCM4e0lyeZYXs8HpimiVAohL29PfT7fQwGA6RSKZTLZVY4PH/+nFfI3L17l7cODAYD1Ot1xGIxLC4uAgCCweCIkQowDLyKonDtsNfrQVVVHqbIZDJIpVKIRqOIx+M8xnodOakOb/VNoPq53W5Hq9XCxMQEZFnmxiQF1/E7BFKTUF3+pMekXWoETagFg8GzfdHniAi6gjPBupCwUqmg0Wgc+x63281ZbyKRwNzcHIrFIu7cuYOdnR2oqopQKAS73Q6v14tSqYREIsGbZ4Ghx2sgEAAAfP3111BVlTvvPp8PvV6PZ/sHgwFUVUWr1YJpmuh2u3j8+DE+/fRTABiRjF2Vps27YG9vD48fP8ZgMOApQmBYP7euVyfvjFqthlKphGg0ysfTOoQRDAbx/Plz+P1+zp6B4d/M73//e6iqikAgAIfDwY91lZqYIugKzoTxcc5xPB4P7ty5g83NTQBgX9WpqSmu70UiETaw0XUd8/PzSCaTrPlMpVJIJpMjki8ALC3r9XpotVoj9UCqHwPgNeL5fF5IxV7CkydP+K6BLn7AULlAqhMKis1mE4VCAaFQ6NidgjWDvn//PnK5HH9N0zQ8evSIs1y73Y67d++yesQanN93hHpB8E4hnW232+VVLISiKHA4HPD5fGg0GjAMA+VyGa1WC9VqFbVaDZVKBTabDa1Wi7cTUGbqdDpx8+ZN7nbH43FEo1H4fD7Y7UM//larBZ/Ph3a7jWg0in6/j3g8DofDgVarhdnZWUiSBKfTCbfbjUgkgnq9jkAgwDrT7e3tkWz6uqMoCvL5PIDh+U0kEgiHw/B4PHA6nfjqq68QCoUwNTWFbDaLZrMJRVHQ6/VOPY7b29t49uwZq0JWV1dRrVbhcDhYgdLv97G/v4+pqSlEo9Fzfc1niQi6gncG2fflcjlUKhXY7fYRQ3Gn04l2u414PA6XywWPx4NarQZgKAujznYsFhtRKwQCAfh8Pty5cweyLMPn80GWZQ6gkiQhEomwScvi4iKcTify+TxarRbsdjsikQjbEB4cHECSJDQaDbRaLWiahmaziUQicSwYCIbWi7S6xzRNuFwuTExMYH19HeVyGdVqFZqm4caNGwgEAmg2m/D7/Wyi4/P5jl3Ixs+hw+FAsVjkbcGdTgc2mw0TExNXzm1MrOsRvDNyuRyXBVKpFGKxGIAXnWfKYHZ3d/GrX/0KmqYhlUphfn4ekiRBURQAw9vQlZUVnnSKRqO4f/8+8vk8NE07dWSXbl99Ph8cDgeXGTqdDjKZDBwOB7/pZVlGJBLBysoKYrEYd99nZ2dHrCEFQ+i4eTweLC4uwjRNbjwCYA9cn8+HlZUVAGBP49XVVTx79myknGAtNWxubiKbzaLb7WJtbQ3dbpcVLIVCgXevXRVETVfwzpidnWWJF9VdI5EIbt26xe5f//u//4t//dd/hcPhQK/Xwz/8wz/g+9//Pk+hWY1Q6I2cSCS4bmt1HqMRXlIbWFUHs7OzXF8Mh8NQFIUDaa1WQ6FQwPLyMuLx+Mg46mkTdNcd8suw2i8uLy8jmUzC4/GMTPOZpjnii0Gj2iddyOi8hkIhVjUoigLDMNhlrF6vXyl/DFFeELwzJEnC5uYmyuUyarUaarUams0mfD4flpaWsLW1hZ/+9KfodDpcSvj5z3+OH/7whxgMBjynr2ka2u02eyk4nU70+32Ew2EO7MlkEgcHB3j27Bl7tNL/ZVlGNBqFpmk4PDxEvV5Hq9XC9PQ0JElCq9VCOBzG3NycqNu+JpIkIRQKQZKkkdIAlWFosuzZs2cIh8P8nyzLqFQqmJqagq7rIyUGwzCgqipPI37wwQdwOp3HVr2vrKxgbW2Nz+37XvYRma7gnULdbZfLBZfLxY0za6PE6gQmyzI3tahzTd1xKjsA4MyqUqlw9kqZUzwex+TkJAzD4NoufZ6aeq1WC2tra1AUBTs7O5ibm3vvM6aL4rS7AetQhXVNj8vlOnEjCGXMVI6i2q2mafi///s/9Pt9rvVS2co0zffeeUwEXcE7hd4MnU6HlQvtdps72tbGGjA0QHG73ahWqyMZDInvqT5It7akeBjfbOBwOFiiRiOqpMWlwJ9Op/Hw4UMAONFMW/DNOCkYjxulW0sM1vFfGhFeXV1FOp3GZ599hkePHqHb7aJSqfDONqrNv88lIFFeELxT/H4/KpXKiDaWzMhnZmYwNzeHX/7yl/B6vQCAH//4x7h79y4SiQQ6nQ7K5TK8Xi88Hg+KxSLsdjs0TUMwGMTa2hp7NND4KUGysUAggFqtht3dXYTDYTgcDjQaDTa7ISOXlZUVbtwJzh5recL6ucnJSWiaBofDwSucms0mFhcXMTU1hWKxiFqtxgGbSkvvc6ZrG4wvmhII3hLS6B4eHqLVasHhcMDj8cBut7NHaiwWQyaTgcfjwcrKCvL5PPx+PyRJQiaT4WbK/Pw8ey9sbW3Bbrej3+9jcnISTqfzVLvF9fV1vmW9f/8+ABxbvb68vPxeZ0pXic3NTS470PRhMplENptldzH6m/B6vdB1/b0/f6K8IHhrqKNMqgEKkABYo2s1twmFQvD5fPjkk0+QSCSQz+cRDAaRyWQwPz/PbypgaGDtcDjgdrsBvJCbka6X6sbWNx+VHoAXygdrxzsYDMLr9V6pOf7LyJsoDWZnZ1kDXCqVkEqlRryOAYwE3Fgs9t7L+UTQFbw14zIu0tUCONYwCwQCCIfD3BDL5/N49uwZUqkUUqkUKpUKdF3n30HNtNNKAHa7nVUQ1Hx5+PDhSNfb6gfgcDiQz+eh6zqeP39+Ld3Dzos32cQhyzKvWSK5mdXW0eqtIUkSjwOTuc77WGYQNV3BW0PSIarHplIpuN1uBAIB3kVG2Gw2LCwscE0uFApBlmXMzc1B0zTs7u4iFovhzp076Ha7mJiYgNPpRDAY5OzWymAw4AmpeDzO6gjC6/Vy+aHf72N9fR0ulwvtdhuhUGhEviRGf98t49NmrwPVfN1uN/b391mjSyvYM5kMj32TNK3RaCAajb5351AEXcFbQ2+UbDaLvb09DAYDaJqGVquFSqWCUCiEwWDAvqmtVgvFYhGKoiAajR7TfSaTSaytrSGXy2FmZgb37t1DMBgc8VUYp1arwTRNTE9Po1qtsjWkaZpYXFyEz+dDuVyGJEnweDwstD86OuLxYDH6+245qWn2uuRyOfZ5AIZ3PKZpQlEUzppJ20uN1nK5jGw2i93d3ffiHIryguCtocYZjWnS2m3gRVOk3W5DURQ2rZmfn2etJQDeKEtuYbQ9gOp2dPupaRp+97vfodVqsccqsbW1hXw+z1sjDMNgqVkul+M6M92mUgaey+VQLpexsLCAWCw2MpkmuBisMjK73Q673Q5VVQEMpYA0TUjaXgAsFZQkCV9//TVcLhdu3LhxYa/hVYigK3grSFNJI7nAcC6fBhFodbrX60UkEuEFkd1uF7qus46W3jAkCRrX8RJkXmNttgFgQxVVVeF0OlGtVnnNjKZpKBaLCAQCqFarnDFPTEyg0Wig3W6j3W6j0+lA13WEw2Hho3vBGIaBfr/PgzH09xEIBNDr9XgNEOm40+k0er0ednd3+W/n8ePHIugKrh6UlQYCAXQ6HTidTtTrdX6z0PobWp9DzTKawyePBmCYFXc6HWxsbEBVVfZuoJl+qg9SiaLf7/NsvsPhwCeffMIXAPrda2trODo6QrPZ5Kyo1+shEAiMGKgoioKPPvoIlUrlve+KXwXW1tZGBmPK5TJUVUWtVmMlzNTUFDRN48lESZJGLtZ0cb2siKAreCsoCJIfLq1fIZs+0srS58Y71JTBxGIxKIoyYpACgEXy5MWwuLjIt5bAUBLW6/Xw0UcfsZ2jrutwu90jv0tRFJaPbW1tIRaLsZohkUhgaWnpvagDXhfI7W1xcRG5XA6BQIDXMpE/hyRJSKfTPApOJar3BRF0BW+FLMtwOBxcb6MNr1aH/3g8jv39fQBgadfCwgJUVcX+/j4rGKybfV0uF3q9Hm7duoVOp8PrYUqlEvr9PkuJ7HY7PvvsM5YMbWxsQNd1jM/6eL1ebG1tYX5+HpFIBIqijMz5Cy4XPp8PDx484KGJVCrF65bo69ZRYOoN0KJSAGwpelkR6gXBW0Ojt7RccmVlhSU7Pp8PBwcH6Pf7bGZN2eRXX32FarXKNTrTNNmMnDZO9Pt9fPjhhwgEAiwhstvtHFTb7TbXczc2NmC32+F0OnHr1i0YhoFoNMrLKknru7e3h1qtxgY574vE6CrxutIuUrTMzc3hxo0bsNvtCIfDuHXrFrvO+f1+ZLNZZDIZdpBrNpuYnp4e0YxfNkTQFbwVVCqYnp7GwcEBarUar78BMGLzF4/HRzSbk5OTaDabSKfTcLvdvKus3+9DkiTeKkHa3ampKaiqinA4DE3T4Ha7kUgkYLPZUK1WkclkUKvVMDc3B8MwsLu7i5mZGaRSKQ72fr+f37hzc3Ms4BelhfPldeV5VtkZbQbx+/3HLuTUN4hEIkin0xyoL/OFVJQXBG8FBa3d3d0RNQERDAbh8XhgGMaxW3m6hQTAKoMnT56g2Wyi3W6j1+txyeHJkydwOBzQdR0zMzOIRCIolUpoNBq8LZiad9QII12w1QKQpGcE1aSvglXg+wJ5KKdSqTduWhqGgS+//BKlUgnz8/Mj2z1I+UIN18tudn6523yCS8vs7CwikQh0XUcoFOI6KfBCTkam4tY1LeMYhoG1tTWoqspyLWvzq9/vsyohmUzy56nGp6oqXC4XN8So1pzJZF76uK/7fePPdXNzE4ZhjHz8qu8VDCH/XIdjmOu9yfHJ5XI8Gm7VaMuyzBOJtMppfDXQZUNkuoI3hkoLfr+f3wjWz5umyR4I5BR2WjZJ0jOn04lkMgm73Y5CoQCv14tUKgXDMFCtVlGpVLC+vs63jaZpwuPxIJFIHMuarGbaL+N1v8/6XMnLgaRMnU6HO+3W7OpN/AeuC9bj/abHZ3Z2lpuqhUKBh22WlpawtraGQqEAXdfx6aefjjzWZUTUdAVvzMbGBtbX19Fut+H3+6GqKlRVZQ8Fu90Ot9uNVquFXq+HSqWCw8NDRKPRY4HX5/Ph6OgI7Xabm3GNRgPFYhHxePAJQeMAACAASURBVBw2m40lQ7VaDV6vl3WY1Cij1enr6+vY3NxEOBzG1NTUK+t6LxtXPanhI8syms0m7HY7jo6OAAzN2lutFjY2NlCpVCDLMh49eoREIoHJycmRWvb75A9wFpy28ud1jr8kSYjFYmg0GuzFEQgE2I+30+nwaie73Y7JyclLe4xF0BW8MYVCgc1mBoMBnE4nTNOE2+3mdT03btzgleek46U151YkSUI0GuXGGu0wowmkwWAAr9eLRqMBAOztYJomarUaBoMBJicnsbq6ir29PTSbTV4HboXexLIs863nV199BUVRsLu7i8PDQ2SzWQQCAciyPNLwkWUZq6urbKDe7XbR7XZht9u51GD1lmi32ygWi6whJoTHwwte5c9w0rGivxXavReJRKBpGjKZDD744APE43F0u11kMhm+yNPvukwXOhF0BW+EYRjY2tpi8xlqRjmdTui6jqmpKTidTl6ts7CwALvdDkmScOfOHQDDTLlcLvOAw8HBAZaWliBJElZXV5HL5eB0OrG3t4dKpYJEIoGJiQlUKpVjOlxJktBut5HL5Vjj2+/3EYvFoGkavvjiC0xOTrKVJGXjR0dH3Iw7OjriN3KxWOQslTKxx48fo1gswmazYWJigo21qbaoKAo8Hg88Hg9SqRTK5TK63S5qtRoCgQByuRx8Pt/I77wsAeCyclomTBkvqRTomM7NzSEajfJdV7fbRbVaRTab5Quq3++/FGPeYnOE4LUZ91tQFAWyLPPtntvt5n1nHo8HzWYTsVgMKysrnPFZNwUsLy/zdNr8/Dzq9TpKpdKpHqoPHz7k0WG32w2Px4N79+5hd3cXW1tb7KlAX7fZbGi1WvB4PPjud7+LXC43YrTu9Xrx0UcfoVgswjAMrhXOzc2h1WohnU7D5/NhbW0NW1tbUBQFd+/exdOnT48Z75A4n7IyEuqTV0QqlRrpsguO8y7WrBuGgV//+tcnKmoA4NNPP71wYyOhXhC8NtT08ng8mJ+fx5/8yZ+MTP+0220OirSIslAoIJfLscl4MBjk6bB4PM7da1VVuSlnt9uxtbU1snXCepupKAra7Tbi8fjIbaPV+rHdbvNoMt1mAsDNmzfZOP3TTz9FpVJBMpnEhx9+yCUJ2j776NEjGIaBxcVFeL1e3ihsfZzxjJUyLafTiUAgwNsOAODZs2fIZrPY3NzE/v4+Hj16JBZkWjhNefAmShBZlnkh6kmsrq5+4+f5TRFBV/DazM7OIhaLodlswuVysQcuZaXjKIqC5eVlBINB/PrXv0ahUMDz58/hcrlQKpWwtrbGmSmZi8/Pz+Pu3buIxWIolUojki4KcOFweGTtTjKZ5PXcwAvDE+to8urqKp49e4Z8Po+lpSUsLS1xyWF1dRWGYSCRSHAt2eVyQdd1ZLNZyLKMjz76CF6vF+l0GvPz81xe6PV68Hq9uHnzJjweD+LxOOx2O9d8l5eXsbKygmg0Cq/XC8Mw8G//9m9YXFzEX/zFX+DmzZv493//9zM9b5eB1wmcs7OzI/pb4k1lYLTiyWazcWONUBTlwmV8oqYreG2okWGttVHjS1VVuN1uDnw2mw1LS0vo9XrY2dnh2z2n0wlZlmGz2VAqlRAOh9FqtWAYBlqtFqampjA1NYVoNDoyQSZJEvx+P2RZRqlUgqZpaDQauHnzJiRJgq7rPJn06aefYjAY8NbfUqmEnZ0dxGIxrh0Dw7pho9FAoVBAo9GAYRg4ODjgBt5gMEC/38fU1BTy+TwODg5YPeFyuXiteKvVQqPRQLPZZBc0AJienubHo9FnTdPwN3/zN2wpaZom/vu//xt//dd/zRuSryKv00Q8rbn2ppsoms0mKpUKgGHZJx6PIxgMQpIkVphcZCNT6HQFbwSZ1lhJJpNwOBwj9dLBYIAnT56g3++P/IHXajXUajUeF242m+h2u7yEMp/Pc9nAOkFmfezt7W0AGLmNpOdA9UCqKVstG8drhbIsI51OQ9d1FAoF9Pt9+Hw+aJoGSZLQ7/dRrVa5zghgxCGNiMVimJubw+rqKpc03G43bt68yd9DLmiURVtXGZFawloGuWq8qSbaykl/cy9jcXERwNBUn8ySAGB+fh7RaPTCNbwi6Aq+MfSmMAyD91Xt7++zjAwAO0UFAgFEo1HeBtzpdKCqKkzThKZpAIaeqg8ePDi2bZjeLLFYDMVikbdDWJ8DMR5oTxsPpWWVJHXzeDwAwBm7z+dDPB4fCbzAi6koavTlcjl0u11eF95ut7G/v88XAlq8GQ6Hj9UcDcPAzMzMuzkZl5Q3DZzf9LFcLheazSab5QNAtVplGeNFIsoLgndGq9XC7u4uFEWBoiio1+sYDAZoNpss5ZqdnR3xsJ2cnMRgMIDNZkM4HIYsy0ilUjg4OICqqlhfX0exWMTBwQHsdjt2dnZwcHCAxcXFY5pfWh9ULpcRDAYxOTnJcq3TDG6sTmmRSIStJ6nu53A44HA4+Gej0Sj8fj90XUcikeBywvPnz3kDcigUgtfrhSRJ7IA2NzfHwcDhcOD3v/89XC4X7HY7fvzjH2N2dnbk+QpJ2TeDShKLi4totVpwu93c5BTlBcGVgVz/S6USZ7iUEZqmiVgshmQyeUwaRMbVhNVLNRaL8d40AMd2qFmh2X7Canp+2u2t1YOBnt/nn3+OtbU15PN53Lp1iyVfs7Oz0DQNjx49gq7r2NnZ4Qk1quMGAgE27qEMixQSCwsL0DQNP/zhD7GysoJOp4M///M/Z7UEvT5AjA5/U6yZ9WeffcYX5Gq1+tKx9PNAZLqCdwYNIdDABDC8/SbH/9u3byObzWJ1dRXFYhE7OzsIhULsd0tQlhIOh1Eqlbjzn0gkoCgKZ8rj+Hw+DAYDSJIEWZaxt7eHUCiEVqs1Mho8PmJqbajJsozJyUns7++j0Wig3+9ziSMajfKqd6phA+BMHQBPq9HnZVlGvV7nzcO5XA6Hh4e4efMmvv/97yMSiXBzMplMcnlCVVX4/X6R8b4G49OGJ90pSJKEer2OXC534c00EXQF7wxZljlg2O12/jcAbkqVy2X+fvJCpeyX3jgHBweYnZ3F06dPUSqV0O12kc/noSgK12aB4RgvTSQBL95Yu7u7sNls8Hq9GAwGKJfLIyPI5B1BgbDX6/HoMQBunnk8HkxOTiIWiyEcDuPx48cslQuHwzxxRheJdrs9MjHX6/X44kM+AeQLvLy8zM+FjkkkEkG1WsXm5iYfw8tsxn1ZIGUEudqdFlCpSdpsNhGPx0+VOp41orwgeKckk0lsb2+j2+2i0+kgEAjw1l1ZluH1elEsFqEoCgaDAYLBINbW1ngajW7Zi8UilygCgQA8Hg86nQ5vCqAGSb/fx2effcaPb13hDQw71g6H41gJwwqVJSjLtJY1dnZ2MD8/j8ePH7Psjfx7adnl1tYW5ubmYLfb0Wq1RoYnCEmS+HGWl5chyzI2NzdHyiFkeWhF0zSsra3xdNz7jmEYvNPsXa1MopJRPB7nvWmnkc/nAQBPnz7FzMzMhZQYRKYreKeQ1vLo6IglWPV6HQ6HA81mk1dsO51OdhCrVCpoNpvwer1sCUmd51arBZvNhkqlgkqlgnA4DIfDwUMVpOm1Pr5V47uwsMDSLSopBINByLKM6elpLh0UCgV0Oh14PB4sLy9zI63VamEwGKDRaMDhcPB2i729PYTDYRSLRXQ6HbTbbS6H0DoZYCgd8/v9mJmZwf7+PqLRKPr9PorFInq9Ho8q08Xp5s2bcLvdCIfDSCaT+Oqrr1AoFE40C3of2d7exvr6OlRVxfb2NtrtNmto3wZrf0BRlJea6NC2aeKiSgwi0xW8c0KhED7//HM8ffqUPRIomNImXms2aPVaAIa35bquw+l0AgAHQKr9ptNpTE5OAgASiQQ2NzdHpGDjWyKA4/62CwsL3LAjaVuz2YTb7cb+/j4ymQxSqRTL1QBwrfjGjRvo9/vY3d3lum6n0+ElnFRScTqdnOU3Gg10u120Wq0RX4D5+XnE43H2irXb7Uin01hbW4NhGJyhvyxTv0hO8ks4zUPBMIyRxqN1cOb+/fsA8MbeC2/rWxwIBC5MrysyXcGZkMvlsLu7i3q9zkGI+OCDDxAMBjEYDNi0pt1uI5PJsEvZ7u4u10Q9Hg8mJiZgt9txcHDAhueapqFWq2F9ff2VWctJU02yLHONT1VVeL1ebnpNTU2x1CsSiaBYLLJFZalU4kEHK/1+Hx6PB91uFx6PB9/61rfQarXQbDb5a9FoFOFwmDNcGmUGhhekdDqN9fV1zm6TySQSicSF3Aa/jv/v+KQZrdXZ3d3FYDBAvV7nn9/Y2MDW1tZI4xEY3tUcHR3BMAxkMhk0Gg1Eo9HXyn7fZFrNuifv7t27Qr0guFqQ/jUQCEDTNPT7fTgcDgQCAbjdbiwuLrIygBpk9Oah5hg5mCmKArvdzreG7XabjcMDgQCmpqZe+qajOmK/3x+5laULQ6vVYjc0qic7nU7kcjk0Gg0kEglMTU3h6OiI68gARrYTA8OM/f79+1AUBR9++CF8Ph9isRi/0f1+P7a2thAMBtFut3mrxv7+Pl+cfD4fkskk+wtfZLAlnfRJFzT6nng8zudPkiRsb29jd3cXwDD7Pzw85J+nbRtOp5OtN71eL0zTRLFYxNOnTxEOh6Hr+mvf+r/Kl9f6XCcnJxEMBqFp2oWanIvyguBMsN7iT01N4fHjx4hEItjZ2eG9ZsFgkI1rrFNt1ukvXdd5jNPj8fCwhdUE51W3lVb9rsPh4McxTZObYtTUWVlZ4TovMNTNrq6uwufzjYzuAsOMnRqAANgAHRg2wDY2NpBOp/k4UJlkf3+fyy0AuIHn8Xj44kOLOy8CumVPpVInGtCMW3yOTwJWq1UcHh6i2WzybTy9dlosai3L/OIXv8A///M/w+FwoNfr4Wc/+xm+973vvfPXQ1z0GiWR6QrOHEVRkEwm4fV6oWkaN78ePXqEdrsNXddhGMbI5Fij0cDU1BTa7Tab6ZAhDq0B8nq9uHfv3iszFsq6reY51NCZmppCKpXi30GZE02f1Wo1NjCnOjTJxObm5jjrbbVaLPlaX1/H4eEha3+j0ShyuRyvljk8PITT6cTMzAyCwSD6/T7cbjdPpFmDN3Geq37olp2Mwccfb3t7+0QDITp+X331FR8XcmKjYZNEIsEmR61WCy6XCz/5yU9gGAa63S56vR5+85vf4C//8i/5b+Kbvl5rCeIyGMmLoCs4N+h2fmpqij12geEQwdHRETdY7HY7isUiKwyazSZsNhvLzu7duwdVVZFOp1EqlV75xpQkCZFIhDW5J90Wn/Zz5F42PT2NSCSCiYkJ1Ot11Ot1Xt8zPT0Np9OJhYUFXqJJQafb7fK2CnqzNxoNLltUq1UeO6btFScpFc5z1Y/1lv2kYE9B7LQhlVqtxue23++jUqmwqRHVVff39+H1epHP5/Gf//mfI3V/t9uNP/3TP+X6ut/v/0YXHOvreZ1yxFkjyguCM2O8i20dxe10Onxb3m63eQiAVAPkBkXG6fPz8zxLv7GxwV63pVKJt8K+Dm/a7R53L3v48CFnvNYlmYVCAeFwmG+jbTYb13v9fj+i0Sgb55ALVjwe5+PQ7/ehKAp79o7zTVy6vgknHa/TzGvofI9PGBKmaWJra2tEBx0IBHiAhOh2u3C5XPxv0mbn83mW0r3P2zdEpis4M6zZGZUOKHhNTk5ywGq1WkgkEryCHRgalT99+pQbcG63G+l0Gvl8Hjs7O1zfpW285M0wnhGdNPL7JreX45kRlQhIZZHL5RAMBllRsbGxMZK1ybKMW7duIZFIcACj/Wz5fJ7ruT6fD5988glfXF71PM4L6/Giu4TTxm3pfJMhEGX7AFit4HQ6cefOHRiGwSoCu92O3/72t3C5XJAkCX/7t3+Lubk5OJ1OOBwOFAoFXvxJm6Gtqoj3DRF0BWeG9Q077vJFt/zxeJzrhwCws7ODXC4HVVVRq9X4Nr5SqYyUH2q1GjdjyBbSNM1jt+Djt+XjwWs8KL+qdko6XXIbo+dCU3bJZJIHQ4BhTVNVVa4Pt1qtkefdaDRYFncZTW6sx4uOJbm+jUu7aEU9/Uc4nU643W50u12k02k0Gg2sr6/D4XBgcnIS/X4fP/jBD/DgwQP87Gc/QyQSgd1uR6/X4/NKgyn0nKhc8z5uVRZBV3Bm0BuWAo+1kTX+PaTjJM+D+fl5VCoVxONxxGKxkfIDrdWx2Wy8EysajbI9pPUxXpXZjmfjq6urL53ft0Li/mKxyE0lWZbR6/XYzpKMcTRNw97eHrxe74k7vKi+fNmwXoQmJyfRaDR48Wi1WmV/CMMweHrO4/Gg1WqxpM7pdHJJplKpYGFhAeVyGdVqFfv7+xgMBjyFNzs7C4fDAU3T2G6z1+vx30AkEsHNmzfR6XReq8xwng3I10XsSBOcOSTZcjgcp75JDMNg45dms4mvv/6aHbvS6TRvBE6lUvyxqqoIBALsZZDJZFCr1Xgfl6ZpyGaznAk/fPiQGzyEdS8X1Y9Ps4486XXR99PG41wuh62tLXQ6HQ4Q8/PzXOu16nppwi0QCOD27duvvXzxPLHuJyNJ3fLyMqampo59Hx2Le/fuIZVKcV1WURT20eh2u9jY2OBMmO5cgKGcLJlM8mM8ePCAzYj29vYgSRIcDgdbYebz+VfuXnvT/WrngWikCc6cVzWBDMPA73//+5G5eGqu+P1+nnIqlUqYn5/HxsYGr+w5OjrCn/3ZnwEY9c8tFAojxjcHBwc8fmvVwFqbQqet9Xmd10XfPzs7C9M0Obvf2tqC2+1mjW+32+V17YPBAIZhIBAIoFKp8EjyZVrVbn2N4xpql8s18nU6Z+RR3Gq14PV6+YKUzWZ5iq9er6PdbsPhcODjjz/Gzs7OyDAIjWkXCgVEIhGe3Hv27BkikQjm5uZQLBbRaDSwt7eH7e1tfPvb3z5mCnRRDciXIcoLgjPnVU2g7e1tzkRo6aNpmgiFQnC73dje3malgyRJfEsKDG/xSVNr9aVVFIU3O0xNTWFxcRGdTuelU16vkkoBo7er1jqx9XfQ2PDh4SGAFxcQm82GbreLGzdusJG20+nEhx9+iFqtxplvJpO5NPXKk2q6drsdmqaNXBh6vR6y2Sz29vZGNmXcvXsXiqLwcVFVFZubmzxsMjs7i1KpxGPPVCM2DINLUrT9IRwOc63fNE2Wpg0GA5imeaLU7lU1/ItAZLqCC2d2dhb5fB6qqqLf7yMej3P3mxZdUraTSCTwxRdfjEyHUfmAllrSPrVcLscm6KFQ6I2mvE6TltHnX5WRVqtV/tjv98PhcEBVVXg8HgQCAZTLZbhcLty7dw/5fJ5fp9/vP3EK7DJAz6nT6SCTyYxI9ehYA+AykbXmSlkyZbp2ux2pVArAsHnq9XpRKBSQzWZHlpzOz89jbW2NSxe6rh9bBGq32+Hz+V7LFOh1z99ZIoKu4MKRZRmffPIJlxAajQaXGijY0hvYMIwRs5TJyUmu5Y6XFL7JreVpP2vdCnxSUKbgMjExMfIaKAg3m008ffoUrVYLoVCIM2ZyGavX67h///6lKC0Q1rLCwsIC1tfXj32dRqppLFpVVezv7+PBgwfw+XystZ2bm4PX64WqqojH49w4o4slBXSroTyZES0uLrK7XLlc5oELcol7Hb/hV52/80CUFwSXAkmSEIvFIMsynE4nKpUKIpEI7t+/j2AwOLJg8vDwEF6vF7Ozszg6OuKBAjKLsRrovK229bSSCH3e7/efqIqgW3DaNhEOh3kCCxg2lZxOJzqdDgaDAbrdLoLBIKanp9FoNFAsFlmGdlk67uOyO3rtc3Nz6PV6WF1dRS6Xg9PpRCqV4oEVmsa7cePGiNlNrVZjtQcA1tzWajVUKhX2UDZNkwdGarUaB9r9/X1IkoRms4mZmRn0ej2k02kugfh8PtYUjx/DV52/80BkuoJLg9X0hpo0tGGBspLxDJQyq2KxyG9iUhGc5a3jaVNZ442np0+fwuv1cvOs1WpBURT2GKZJK9M0cefOHYTD4QvNwk5i/JhTsMpms6hUKiiVSlweADDilez1erG+vo5er8eThsCL1Tm0kcN6h+L1eqHrOmfENBxD+l+Px4Nbt24hGAyiXC5D13UUi0UUi0VkMhkUi0V2dDttWvG083ceiExXcGFYV6a73W6WJR0cHCAej2N3dxeFQgG9Xo871qSnzWazqFarkGUZlUoFgUCAM6bT1q2fNZqm4auvvkIymYQkSfjiiy9Qq9VQq9XYu8Fut6NcLvMoNK016na7ODo6QiqVQrPZPFHTfBGcZkhOhkHNZpMlczQc4nQ6EQgEEIlEIEkSMpkMa67b7TZ2d3dRqVRwdHSEdrvNCgen08la3VqthnQ6jWKxCNM04XQ6eedet9uF2+1GpVLh+nE4HEav1+MtJIPBAO12G/1+nxeSEpqmYXV1dWS/3nkiMl3BhWG1XKSa7Pb2NlqtFjfWCBqOSCQSvLASGHrYhkIhrv0BLzKyYDCIhw8fntt+MWr4AGBfWKo5AsPGktX4nLI2UgP0+3388Y9/ZKnVRZmXWzmtoUjbLvx+PxYXF/liCGAkszQMg+VzVGIhCV2324XX68Wnn34Kn8+HpaUlGIaBX/3qV2g2m9jc3MTMzAyKxSJWVlbg8/mwvr7OhvL0N+D1erG9vc1/IzSsAQxrwtlsln93Lpfj+nmlUsHnn39+7rvnRKYruDCsK9NTqRQ6nQ5qtRqAYe1zenoaNpsNiqJwTbBYLPL32O12NJtNtgmMxWJIJBJYW1tDMpnkDQzFYpHtFc+yTjo5Ocnm42QP6fP5uD6taRoymQyazSaCwSCvr/H7/WyB2Ov1IEkST7F1Op0Lre2eNNFnGAYeP36MUqnEjc7T5HUkBTw4OECn00Gn02E54I0bN3Dv3r0Rg5zt7W2W2rlcLuTzeSwuLiKRSKDX63F2TTVj4IV9ZLvdhqIouHPnDkql0ojCJR6PI5vNYn19HdFoFLquwzRN1Ov1c1eKiKAruDCsK9Mp06Eg/OGHH6LdbrNrldPphGma6HQ6CIVCsNlsrHPt9/uIRCL4+OOPOduk4Ecf1+t15HK5M11rLssyZ6ekuc3lcqw9JQtIaq5RE7BWq/HrA8BrjMLh8IVrdk9qKG5sbGBvbw/A0FtY1/Vj5RwyOt/Z2eGlm6Zp8mhwLBaDy+Ua2eBA2lxgWBeemZkZ2Qqyvb3N65poxRNdbKkPoOs6Go0Gb2am30U66FqthnA4jMFgwD4Y4XD4VGe0MzmmIugKLhJrJkXuY5QJ0aw/bRqggYgbN25geXkZzWaT1+LMz8/j4OAAsVgM1WoVPp+Pb9MrlQoUReGtu+flULW6uso1yaOjIyiKglQqhUgkwt3zW7duwel0wjCMkcxsYmICH3zwwWt7DLxrXjZEUCgUUKlUAAyD8vz8/DFvYqvRuaIoyOfzrOigAEg1fKs50fr6OrxeL6LRKDRNQzwex7Nnz1Cv1xGNRqGqKtrtNiYnJ+F2u1l6FovF0Gw20W63YbPZ0Gg0EIlEWPPbbDbhdDrRbDYhSRKWlpawv7+Pfr+P/f19TE9Pn9sxFkFXcKGMZ1JWeVI0GmUrRRqtpXJDq9XiVenPnz/nppxpmqhWq6jX66wWSCQSbJ5it9tfa5Hlu8BabvD5fCNBybqholarYW9vb8RJi7KwQqHAq8XPk5eZpquqyoMetMNuYWFhJDhbjc5pHVMymeRVRdPT08d22/l8PpbN0cRZsViEpmkjjbfxdfWVSgW5XI61uktLS6wGKZfLXDv/+OOPeQdep9PB8vIyO8Kd54p7EXQFl4rxGiJtm5icnOTbRQqolUoFGxsbvOqFan+6rqPb7aLf78M0TZYkBQIBLCwsQJZlrvEVCgWoqgq/3/+NM9/x7JDKDRQ0T/r9hmGgWCxCkiQsLi6iXC5zueTOnTuv3G5xFlhHcE9SUPj9fh69nZ6eZrWGlZO2NdC5jMViSKfTvJ6IjpckSTzKTVn+7du3uelmNTunvwGPx4ODgwMAQzP8ubk53qHndDoxPT2NYrGIZDLJe99M00ShUMDk5CRSqRRvITmvEoNQLwguFeP6SWpyxONxPHnyhGt+Ho+HP7bb7bhz5w40TUOxWBxRPQAvvA9oLQ75IlhHdQG89vaJ03jTrRT0MzQCbLfb0e12uTl1UVpSUpWQe9s4sjxcXU8a2te9Lbea4gAvNkJYtbTW10xj2/RY5KcMDButuq7z5uFQKMRys2w2y4+xs7ODbreLr7/+GgDwxz/+Ed/97ncRDocRj8extrYGXddRqVTg8/mwsbGBer2Ou3fvnpmqQWS6gkuN9TY8Ho/zgsnl5WXY7XbYbDZMTU3BMAysr68jEAhAkiTOcq10u13ezUb1U5fLhV6vh0AgwML9t+VNt1LQz9BrWlhYgKIocLlcF9pAe53XYS2dvG7QpUYWlXf6/T5n1KTu+PLLL1Gv16EoCtd8VVWFJElIp9NsBE+a3X6/D6fTyavV6XfRxFwoFEKxWGSlg9VKcnd3F8ViER6PB4qisCscZcpnVee1DawGnwLBOXCa4P5tfpam1ebn56FpGnw+H7a2tjA3N4f9/f1jgRcYZpSSJPEurk6ng1Qq9UaZ7stewzd5fe/i5y8z4/aQ1tf58OFD1jnTDjX6P31ucXGRp9hCoRDa7fbIlopYLHbM2MgwDPz85z/nwGvdX2fNniVJGtFRezwefPe7333n50BkuoJz57Qmzats96wyJPpZysqA4RuYVgB1u13usI8zGAzYPnJiYoIDwJvUdek1jK+sednre10uw8bas+K0zbyGYUDTNNhsNkxPT/N2iLm5ORiGAbfbzUY6uq7D4/EgGAzC7/fz/8n74eDggP+GaEpwYWEB9XodvV4Pg8EANpttZP3TYDDAeP5JDmbvWmIogq7g3Dnt9nVjYwPr6+un/qFbZUhLnoVEsgAAIABJREFUS0v8xvX5fKhWq7wpNhqNYnNzc8QDYPzxnU4n7HY77t27x6WJNwmS1GkvFArHfu5tygzvI3SRPG1R5at+lkbA/X4/15E/+OADLC0t4eDgADs7OzAMA6VSCdPT01yecLvdrL2tVCqw2WyYn59HuVxGsVgckaJ9+eWXrIb49re/jXa7zR68FGTHg+309DR7PVC54l0iGmmCc+dtG0SnbXY4qfETCASgqipcLhcURUG73eY6Lgn1AXBnm37v697a0+oa663ySa/vpN93VcoH1Di0mtWMn9fTXv/q6ir/DPnaAi/OgWmaSKVS6PV6PO5LZQDrtmVg2CB99OgRf97j8fBEH/2M1+tl69CX1aljsRj/PZx0bt8FIugKLg3JZHLkDTjO6zh7EYuLi+xA1ul0MD8/z2oFl8vFo6bjvIkC4XUuHieZZr+NyuEyEo/HUS6XeZNzPB4/9j0nvVbap0YqDQrI9PXNzU2+iCaTSS4FkSql1+vxhZSyVKrP01LQra0tVj3EYjFIksTB21q3pTou2YhaL4JndW5E0BVcGt42Az4tswwGgyiVSlw3/OSTTyDLMptw06ZiyoAo+02lUu8swznJNPsy7u16G/L5/MhOunA4/Fo7yk67Y6FzR8HbGoxpQKLb7bIf7+Hh4chCSvLgJY303Nwcl54o4FpxuVysCz7PMpAIuoIrhTWzoszZNE3eRrywsHDs88DwlrTX62FrawupVOqd3f5bPYKt62He5wyXCAaD8Hq9mJmZAXBypnvSaz3t9Y9nxbTpl9Y5kcEOAOi6fmwDMLmX0QbhbDaLVqvFC0nH6XQ62NvbY4UE/X2cNSLoCq4U41nUeMADRgMhuZc1m030ej0sLy+fiYn4VQm0VjY2NqDrOjKZDHRdPzHTfRPGs2JrEKbPkadGMplk4/RAIIBut4tbt26hWCzCMAzoug6/349SqQSn08n1Xmp4qqrKAxWJRIIHK84DEXQFVwpSDVgz1dMCnizLI7vMdF3Hhx9+eCxIC06GFkEuLi6ySTmVbl5m0nNaI/G0aUTrBfSLL76AruvIZrOIRqNotVps8xiNRo95+bpcLsTjcfbyHW+S0eOfp6eu/dweSSA4JyhDIi9XK3TLSremjUaDv1ar1fA///M/0DSNPRoExxk/hhQQ8/k8MpkMMpkMVldXj93+E6edn9N+L50HTdO4VEDKFK/Xi263C6fTeay8QT9PJjhLS0sjF+GLOr9Cpyt4L3jV4ISVl+lkxwcXqtUqm6LT6PDR0RFu3rx5pTW23wQ6hkdHR2g0Gtjf38fU1BTvPaNBBjJxHz9vNPrc7/fZwH1jYwPZbBa7u7un6qVpRBgYamvL5TI+++wzFItFNjC/KN/hN0EEXcF7wZtMeb1soou2VdBetUajcWxyrd/vX6hx+GVHlmUOdHa7Hb1ej3fZkTct2TbStgbrwMu4B4OqqrxRg3wQyFVudXUViqLg4OAANpsNtVoN8XgchmFgZWUFoVCIjePfl2EUUdMVvBe8K5kVOWSVSiWsra1hcnISwLDBEggEAAyDQjwe5865KDOM1mH39/eh6zoikQi8Xi92dnbQbDZxdHQEYHj8qDZLmlirNhYYPZ/kCkYbkre2tuByuXjoQtd16LqOVCqF5eXlV9aCLztXNuhelamfy8x5HuNXvbFe9VwMw+A399zcHHRd54WKtHk2n8/j2bNnWF5e5o+B93uA4V1hVRIQwWCQG2a0it060QVgxLR9/BzRcaXvp8AsSRJmZ2e5RkuNuqvyXr5yQZdmuo+Ojth9SLxpzobLMFmlqioeP36MSCSCnZ2dE5+LYRg8AAEMt8Xquo7nz58jGAyyoTVNJsXjcX5zCwUDRsZy6XhYNcfWTbvjgdE6ZXiSfy4wvKA6HA5kMhmkUik4HMOw5PP52DHsKpV63tugO24Rt7GxgWq1im63yx1ph8NxomBb8G6gMdBgMHjmt+LWTNUqRyKbv06nwwFzPABks9mRle00j18qleD1ehEIBJDNZnkibW1tDSsrK+Ji/f+hYJlKpfjf47xMlkcSPmuJwTp9ls/n+X3a6XSQyWTQ6XTgcrmuTHZr5b0NutarJk0SjWOaJr+BrtqJuwyMj4Fa/QVkWX7r8sNJP0emNgBGJofS6TT+8Ic/wDRNlEol5PN5ABjJwOnNTmL4TCbD9UNd19mTwWazweVyoVAoIJfLXeugO57UEKedh5dB79X5+XmuydLn8vk8VFXl7Jd0vtVqdeTzV4n3NugSlUqFMxeC5CiKoog30BlhveWkiR7KUuiNYnWhepML30llC+uqF2sgICcpq3kKQY5VJDMi60eHw4FgMIivv/4apmmy1GkwGKDdbiMWi137ssJJ49RWHwngzUsvJzXYxt+79FidTufY2qWrwnshGVNVFb/97W+haRqCwSAkSYLb7UaxWGTzi2azyYF2ZmYGsVgMy8vLF7LY76qgaRpWV1cxOTl5LGDSumyHw4FSqYR4PM5vFOvKlGKxiGq1ekyzSdrMcrkMt9uNbDbL3qr0eOPbcyORCCKRyIlbZ2/fvo14PH7MHHt7e5uXIZL1YygUwsHBAXK5HNrtNnw+H2KxGDqdDjweDyYmJtBoNN7Jssr3DeqJ0K62ubk5PmZ0bE86D+O/w6rNpXXz1iWXtFF4ZmYGU1NT/DU6d/Q3cNJizPedS53pUh2P6m07OzvweDw8/UKyFdr+SreMOzs78Hq9SCQSIsP9BqytraFQKEDTNCQSiZERyng8jv/4j//AX/3VX/G+qr//+7/Hj370IySTSRiGwUv/KHOk7Gl3dxd+v5/tFWu12oi36sLC/2vvWmLbOrPzx9clL99vUqIkhhQpWfJLSWM3mEk7CAbtrAp0WbRod911posCLTDdFSjQZZFdi7b7djGLLvpAgemgRYqM40nsxJEj6y2Kkvi6fF++yS6Ic3wvJTl2bMkW/X9AYMeiSEokzz3/Od9j8blft29jNUxKSRVFwYMHD+D3++F2u1Gr1VjlRJ671BlflgHKmwTt+OC8YMrnuQ/tSeWs10jbPb/quKM3HW90RhrlXxG8Xi/u3r2rmxeSU1QwGOSgOxovnJWXJPD8aDQa+Oyzz7gopdNpLpAWiwW/+7u/y8bgwLgA/u///i/u3r3Lrx3FbWezWQwGAxwfH6PVanFOldFoZFUR8GzN/qvAz3/+c2a1kNMYQfsekmUZ4XAYkiRd+HN6k3DewvJF7+Nliia9d1ZWVqbyovfGdro0M0wmkwDGx0vqtGhTrnWQ6nQ62NnZgSzLaLVasNvtbMgh8OLodrvI5XK4c+cOF0waFciyjIcPH5469pnNZo7I0XaY2u7J7Xaj1WpBlmUeCZXL5QtZlpz14Q+FQkwt0xZcs9mMGzduIJvNwmg0olgs8u2Al49nvyogCtjL3sfLFEt670yrQOWNNbyhDyrNeQi7u7t4/Pgxdnd3eeaopYVZrVYAQCwWu1TnoKuOSbMROiLmcjkkEgk0Gg3e8lssFnz44YenVEb9fh+yLAPQm5XMz88jnU4jmUyyxZ4kSQgGg0gmkxe2tDrLWGV5eRl2u/3Ubd99911ks1m2KXQ4HM/1GJO/N4GXh9ZA5zzjoquMN7LT1W7GAegoKvRB73a7uHfvHndLPp8PwJgWNDMz89Zvn18Uk7EyWvf+3d1dNnmmr9+9exd///d/jz/+4z/myJM/+7M/gyzL6Ha7pyhjy8vLHBZJ459isQij8eKu+2dJhyVJwt27d/Ho0SN0Oh3mdDcaDb4NPUdgfIHRKqwmMen5Os2zyMvGtCRsTOK1F93JI6A2tC4YDMLtdrNs0+fz4cmTJwDGlnw0mxsOhwiFQqhWq1hYWBAd7nfAWbEyk0fEWCyGVqvFY5s//MM/xIcffoh///d/h8fjgcfj4SM5OfvXajVUKhXUajUkEgkuuLVajU2oL4rSd94x1+l04oMPPtDNL+nnHwwGqNVqmJubw+bmJm7fvv3MAjo5RnndCr1pwlXzVHhevLZFGhVbYhskk0msrq7yEF275AgGgygWizyvJXOSnZ0dZizQbdLp9Fszf3sVOEsZlMvlTqW3Pmu5sr6+jp2dHR0/Wht/Tv9OMJvNWFhYwMLCwqnHusqY9q37ZaLRaGB9fR2rq6tT10S9tk6XugKaARaLRXz66aewWCy6eA1gvHwxGo1MK2q324hGo9wtmUwmnjeWy2U+3go8G1pPgkKhwFLZszKtzGYzXwzP6z6Gw6HuYmkwGPh7tTlVd+/eZS39NH2gpq0ze53x8URXBDB1DKTXVnTpWEadrqqqzI8ExiFzdrsdXq8XqVSK57zNZhOqquKLL75Aq9ViZyNFUeBwOFAsFvHJJ5/gzp07kCRJdB7PgNaTwGazweFw8Gx8srudnK9pO2StjFbLCBiNRuh0Ouh0OrpiXC6Xp8rAZFpxXnz684xQnqc4n3ebbrcLp9OJ4XA4lQykSy26k0cGWtLQaEB7DI1EIrh58yZ/byaTgaIovHlutVrwer0wm81IpVIIBALw+XzMK/3ss88wOzuLzc3NF5ahvm0IBoNot9toNpu4d+8eYrEYms0mF2Tqbun1orlnsVjkYEdgXGQJxMMlaBdS07YYmVZ8W3z6s3Ceo5gW5xXwTCaDnZ0drKysTNVJiHCpRffLL79kE4vvfe97TAtLJpMclaydB2o5eqS9b7Va3PV2Oh1UKhWEQiEsLi7iq6++Qq/Xg8lk4kXORS9rrjJisRiq1Sri8Tg2Nze5U6VlGBnEaJ3ctMZCJHxoNBpQVRVWqxWDwQD9fp+pe+12GxaLBe+++67obq8Ynjc+ffJUBAClUgnAafNyLc4r4NPKWiC8VvaCdmNOclGn04mdnR00m03s7+/rulSz2YzDw0P+fhJBqKqKjY0NngEZDAYAY4aDVoYqMIZWzZfP51Eul3UzdOpSvV6vrkuh8Y/JZILL5YIsy8hms7h+/Tq+/vprWCwWVKtVWCwWLrYA8M4774iCO8XQil8o+khrVnOewOFZdpDT3CBdquGNz+eDqqq4ceMGJEniY2ogEOACSllKqVQKjUYDhUJBl69UKpXYTEWWZdRqNVSrVSiKglgshn6/D7/fj0ajgUAgAJvNhtXVVV7Yvc0gMxMKAAwEAjCbzajX6zAajZgksrjdbjQaDZ6Nz83NQVEUdDodtNtt/r1XKhWoqopOpwMAbGjT7/fh9XrhcDjeSvOYacG3hYJS0CQp+VRVhclkYtOara0tGI1G2Gw2nYHSswyVphmX1ul2u11ks1nOpNrY2OCID5rp0gyRZjlutxvFYpFVP7lcjsUQ7XYbc3NzAMZbc7/fj4WFBdjtdv7wt9ttFItFBAKBqZwNvQi0/GcAbAiUSCSQyWRwfHyMSqUCo9EISZJ4xkunjXw+j3A4rJMFA+DZLvDU3V/b5XS7XWxubr6V5jHTgm9bnmnTI3Z3d3F4eIhWq8XvJ4KWkbC2tsb7F+LZvy0L7wsvupPGNACQzWZZ2GCxWHScToPBwHNfAn34qVslk5VSqcTfOzMzw7LBdDqNdDqNwWAAm82G/f19+Hy+t/qIm8lkkM/n+XfYbDaxvr6OVCqFUqmEdDqN/f19pFIpNp8JhUIAxh8qu92OfD7PnrRag+uNjQ0UCgVcu3YNhUIBiqLwknNpaYnzrQSuJmif0u/3z6Vj0uc8FouhUCjw57LZbHJibywWAzA2ns9kMiy3drvdOt9lAC9tuvMm48LHCxSdHQgEYDQaoaoq2zCSUY12ngiMXyhFUTh+JZlMQlVVVKtVntcCT8cVXq8Xq6urOg/ORqOBzc1NtFot9nl9lpxz2jB5JHQ6najX66hWq3xBazab7Emsqir8fj+y2SwODw/R6XTYFaxWq7G/6rVr17jzMRqN7MlQrVZxcnKCdDoNp9OJ1dVVxONxyLJ8bhy6wNXAYDDA/v4+MpnMudH09DlXVZWXaPS9rVYLqqoiFoshGo3i6OgIkUgEsizjxo0bcDqdbKY0Go2wvr7OiRLnPd5VxoV3utpNZCwWw6NHj9g+z+/3s1s/ufkXCgWYzWZYLBaEQiE4nU5kMhkuqo1GAycnJxiNRvziUpCdlvNH+V1EG7t9+/ZF/6hvFCZTG4Dx7K3f76NarfJ4gOa49Xpdx7el3DFgzOFtt9vw+XzMJAGeSoaTySSq1Sp6vR4ePnyI73//+1PXnbxJeFUChee1caRTEi2kz3p8rTNYvV7nTtdms8FgMDCDCHgapRSJRPD5559jOBzywrtWq/Ep2GazodPpTJ3Y6cI7XXKCHwwGePjwIYrFImZmZmCxWFAsFuH1enlOG4vFuHsiSliv18Pjx4+ZllQoFOD1emE0GtHtdmGxWBAIBFCv17GxsQGj0cgLnsPDQ7hcLrz//vtv3SJtMrWhVqtx509LTABMQu/3+7plmtFo5NssLCwgGo1iZmYGmUwGsiyj2WzyApROHwaDAaqqTmV38iaBusqX/T1vbW1hc3NT11GetTSjdI7l5WVIknTm49PnnPYBJICJRqPI5XIIh8NYXl7WpYJ89dVXPIqgwFBJktBqtTAajdDv91Eul3WL9GnApcx0t7a2cHR0xLNYk8mEtbU1JtrTZpuO/8Vikf1wJUniRQ6hUqkgmUxyesT+/j7S6TRWVlY4p+tt/9BrkzX6/T5isRg6nQ6biAOA3W5HtVoFMF6sNZtN2O12pn4B4+VYKpWCJEnsi0GvBy1ACX6/H++8846Y314wviuP9bwOORgM8n2RqKFQKOC9996DJEmnKFyTM176PmDcMadSKU7yBXAqIUIbKqrd3ZyXifYsru9VxIUX3d3dXR2h3m6381GGsu7D4TBzcc+K8VhdXcVwOITNZkOj0eAut9lswuv1IhQK8X1SmqjX60UgEACAqTuePA+0IwBS5bVaLS64fr8ft27dwsHBATuA7e7uspiEQPHkwHixFg6HWQHY6XR0Rdfr9QqGwiXg23is53kmkM8GqcSeFZlTLBafKSjSRiw9K25JURQcHBycuch2Op2IRCJ4/Pgx/H6/TpFqsVjQ7/dP0RinARdedLVXKfJhJfpSKpVCOBw+pRjr9/vY3d3lrC2iloTDYZ470p9Go5ELBjBWWdEbieaa1WoVq6urU+Fo9bzzPPpgdrtdpuZp4fV64XQ6YbVaWYKtpe2ZzWam2RHr5OjoiMcKdN/kpas9qQi8XpyVwpzJZPi1zWazbPJPr+P29jZ7KMfjcdTr9TPnqVrqYTgcBgCOb5qdnT3VfT98+BDNZhMPHz7ERx99dOq5zs/Ps9mSll6mXa5P2xL2UhVp5HV779495PN5Nh+nBQ8VFK1pealUQrPZhMViQSqVgsfjYR4ggY5EwPiqS280ekHpsc5z0bpKOIsz+axCLEkS853p/7UpB9oFiMfj4ZiedrvNEut0Os3zYb/fz9+jjXYRtoZvDubn53F8fIx8Po/19XW4XC5EIhH0+32ma66vr7N7l7ZIUzGltF6r1XrKFyGfz8Pv9/NnllShtC/Q4vbt23j48OG5i+xut6vzxaZu1+v16jrjaTqtXvgi7eTkBNVqlSWlu7u7MBqNMJlMGI1GyGazMJlMODw8hNFoxMzMDBqNBqLRKBKJBJxOJ05OTtDr9eB0OpFOp3lQL8sy6vU6AoEAU9IKhQLHfWcyGZjNZpTLZUSjUUSj0Ssfx05LDe3PcdZiQ6v2qVarLM+UJAn9fh8GgwH1eh2KorBwJZVKQVVVPipaLBZcv34ds7OzODo6gqqqcDgciMfjvHChLkpRFN0i8zz1ksDL46xll/bfgDF3ejgcsqpTVVWsrKzA7/dDURSdSlOSJKiqilQqBafTiUQiAYvFAq/XCwA6NSG9/1qtFkqlEqrVKlwuFxwOB65fv36qMMqyjEQiAZPJhL29PfR6PXz22WfweDyQZRkPHjxApVKB3W6Hw+HQZeytrKygVqthY2NjqpazF1p0u90uvvnmG/R6PRY9ZLNZ5tvWajVmL5BktNFo4PDwkDm6u7u7KJVK8Pv9WFxcZAK2LMtYXl6GLMuIx+M8iwyFQjAYDKhUKtjY2OD7SSQSCIVCV74Q0JbYZDLxB404j9pCTEfAQqEAp9PJFymSW9dqNZTLZZTLZebpkuS3XC7DYDCwTDsSicBms6FQKLB4goosWXMGAgFEIhEMh8Op+5C8aaCLbL1eRygUwmAwwIMHD7C/v4+TkxN0u12mU45GI9jtdlQqFZTLZQ4OsFgsUBQFpVIJlUqFT4/Xrl2DLMsIBoO6gidJEh48eACn08lq0FarBZvNBkVREI/HEY1GT12M6cJAzzmfz6PT6aBUKiGRSDANlHYEFJVEn+2zmoyrjgstunt7ezg+PobRaESv19NtzelIYTQa+d9HoxFsNhvK5TICgQCCwSDu37+PjY0NuFwu2Gw2fuFkWUYoFEIoFEKr1cInn3yCRqOBXq+HXC4Hr9fLNJN4PD41RxMttIR0OuZTt0MnhHa7zRceSZJQrVbhcDgwOzsLn88Ht9uNTqeDfr+PaDQK4KlpCTA2FaKjKmWKHR0dwev18sjH6XQiHo/D4/GgUqkgEAggHo9PzYfkTYMkScjlcqhWqxiNRszgAcaz0Eqlgrm5ORiNRrTbbczOzvLsntgCdLokL41er3eK7qcteF999RXy+TwURcHR0RE6nQ7effddzM7OQpIk+Hw+PHz4ENlsFplMBoVCAUdHR3zyocaAvD7sdjsCgQByuRysViu2t7f5lDsYDNDpdBCLxXRNxrTgQouuJEnI5/Podrvw+/0Ih8N8ZLXZbPB6vWx8QSIJn8+HaDSKeDyOf/mXf8Ef/MEf4Be/+AX++Z//GWtrawgGg1BVFeVyGfV6HbIs49NPP2VLx+FwiOFwiGAwCLPZPHVHXu0x0uPxoF6vI5/PMxeXlGLHx8eo1+sIBoN8GqBxAiVvLC8vs9iEbBqJ40wg1WC/34fD4cDt27f5CEudzOLiInczGxsbiEQiLCEWeLXodrv46quvmNLX6XSQSCRwcnKii0SiLrTVaiEcDmNlZQWj0QgGgwEzMzNIp9OwWCz82QgGg3zRpXGCtuB5PB6oqoq5uTkUi0U+FYVCIfj9fh3nluiHDocDdrsdm5ubkGUZi4uLqNVqXOjplKS9gC8sLPCo4+joaCo+s5O40KJLRirA2HtVkiQcHh7qXmxSl1ksFgyHQxgMBthsNqiqit/+7d9Gu91Gr9dDv9/Hf/zHf+DP//zPoaoqzGYzqtUqisUiJxOYzWb0ej1Wt83MzECW5St95J2c32nnt9TpkwKPZudaIyGfz4fNzU3U63XMz8+j1WrxvJzkwVriO0UjuVwuWCwWrKysoNvtIhqN8oKyVqvx71Z77JvGo+CbAO17YHd3F5lMhgVCtMAiKiUVVpLfBoNB5ruTqYzH48HR0RHi8ThmZmYgSRKSySR3qWd9Tuj779+/j8FgAKPRiOvXrwMYiyz6/T7a7TacTidu3brFXtc+nw8WiwWxWAxHR0csjKKGKxgMwmg0sugmGo0iFovh4OAAGxsbqFarCIfDU/V+ulD2wvz8PHZ2dtDpdFAul/m4X6lUuJsifl4ikcDXX3/NW9Oz4rktFgu+/PJL2Gw2AOB5MACdmspkMmFzc5OZDMBTgvZVwyRbQUuM1zIGiPVBXQYw9qYIhUIcod7tdlGpVNDv93H//n14vV4sLCzoKHpUgLe3t7G/v49QKIQPPviAnw8JJOj5aDHtPqivC9r3AFEwjUYj7t69i1wux3xpOuEtLS3hwYMH/Nl41v0Rp3Z7e5uZC5FIhD1w6faUGkL7meFwyPsZLa+7VqvxHoE6b/o6/UnvL5KQ12o1JJPJU48LfDtf+CriQotuuVxm/b6qqvyGsVqtsNvt8Pv9bL9IV20AnParPS4B43lVLBbjJQHJhQHoaFB+vx+1Wk3H/72qL9qk+khb2OiNe3R0xJ0OqdDcbjdznOl3RIpA4jgrioJGo3GK2D75uKTRHwwGTBGiLDVA0MUuGloFGIFEB/R38sdQVZVpYbIso1gsYnd3V2dGf5aiLRKJcLHMZrNMwQTGXgkkyQXGu5dwOIzBYMD0MZfLxSMPohcC41HFysoKIpGILoWE/tRydMklkH7OeDyOZrPJ/OFpwYWNF7rdLj755BPuPml00G630W632cWKjg+pVIqPvg6HA0dHR1hbW8P//M//sLn5P/7jP+KHP/yhLvDwLJCzGLliaTf9V21GNLlI6Ha72NjYwPb2Nm+Qy+UyRqMRRqMRZFlGJBKB0WjEzs4OJ/TSnI5+Z0ajET6fD0tLS7DZbEy7++KLL5DJZOB2u9Fut+HxeJDJZNj/mBzHTk5OEI1Gz9XiC7w6mEwmVKtVbGxswOfz8eLLYDCwvL7f78NisfDXer0e3G43Wq0WL6XpM+DxeE4xeTKZDA4ODniJHYlEeBQxGo1wfHyMarUKWZbhdrtx48YNNBoNKIqCubk5LCws4ODgAPV6nS/uAPjiXK/XEY/HAUD3HOx2O1PYaG5ssViwvb0Nq9WKQqHATnXTggvpdEm1clanCowVZ0RLmZ2dZX9WIvA7HA74/X588MEH+Id/+AfY7XZ8+OGHvJxZXV3FwsKCzrFMC+qotY//vCmmbzootO88yLKMzc1NpNNpJJNJ/t0YjcZTCzJFUfDNN9/g1q1byOVyePLkCd/ms88+49eLOi2tKKXX6+HBgwf48MMPpz7T6nWBuNadTgfLy8usAFNVlaOttK9pJBJBuVzm3Dqfz4cnT57wCeVZn4H5+Xl0Oh3UajVWq2mfh6qqzDRqtVocMEtju88///zUOMPr9fKoDxgLlzweD///4uIiyuUyms0md9H5fB4ej4eDDJrNpu5UNQ24kE53a2sLmUyGl2MErbTP6/Xi+PiYN93k90r+rvTizs3N4Qc/+AHcbrfuMejKPDc3pzvaaEEKGb/fPxVLnm63y4nI/X4fLpcLJyfxRAcmAAAgAElEQVQnkGWZY4qIKpdIJNi7VFEUtFotpuz0+32+MLVaLdRqNWQyGfj9fu40KNRzaWmJL5BkvaftZJLJ5FTSet4EPHjwAKVSCf1+H6VSidkokUgEy8vLrArrdDpME6Sitbi4iKOjI+5e6b1/1meACjIAHB4ecmdJnTGN9LrdLne6xWKRGQkmkwn5fB71el33/J1OJ8dukXGV1+vViZS0n0tyIJuZmUGz2eSZMdHHpgUXUnQp7JAG+2tra1AUBb1ejzXaVqsVFosFyWQSkiQxLaXRaMDv9zNjgTw1JzO26MWKx+NotVqnvAWIO0p80atcGOjNrygKNjc3mW9rMBjQ6XT4mOZwOLC3twev14tms8mdAokd6Hcqy7LOupFm7PQBJ2l2pVLRHe1IQkzJErFYbOrmbW8SPB4PFEXBYDDAtWvXAIy7w2g0CpPJxBzqQCCA4+NjLsjagmY0Gpk3TQ3IYDDgUZtWWKEdK5hMJmxtbWFjYwM2mw1ut5sTXebm5hAIBDAcDvlz+fjxY11TZbPZEAwGUa1Wkc1mYbfbmU0Rj8dZ9ETLXu1nlDryaDQKi8XC7ItpwYV7L5C70J07dzge5smTJ1wk6d+2trbgdDpRLBYRDoeZ70dsBu2SR2u+DIyPVcSSIAwGA93y4E3Hs5ZR9Cb0+/0IBoNwOBxMlQPGizF6QwPA/v4+FEXB/fv3cffuXdazWywWeDwe3QWKPHBpEWmxWDg4VBvJQ6BRAwBhcHMB0L4PnE4nYrEYL0up6L3//vsAoMsYW1lZOeUqtrW1hVqtxq8nQTtmAMCsBa2RORklAWBDIzrVJBIJbG1tYWdnB4PBAKlUCqFQCNlslt8bdrsdOzs7fMH2er2IRCJsXK41ViL2jbYTBzC1i9kLKbrUTdIxFxj7u9KWnH7hFosF+XwezWZT9+bRmq9YrVZ+wcgJSRtwR8flyaUazb+uCr5t3kZbXuDpRlgrwe12u7yM/Ld/+zd8/PHHsFgsGAwG+JM/+RN89NFHnKI8HA55iTkajU4Z4NA871khhAIXg/MogsR3VxSFPTVIgECRN1poLVW15jbAafaClhWhfR7UANFc1uFw4M6dO5AkSef2l8lksL+/z/QvGgVSVh5ZrFJxpZDZmZkZWK1WlqxrXdGu8t7l23Ah4wW32w1JknDt2jW+Umljmk0mE6cPkBKq0+ng+vXrvBGvVqvY2tpCq9XihcDR0RHy+TwqlQqsViv771JGl9Vq5aOPxWK5ErHfNDqgrTR1G1rDGvpd0dLEYDBgcXERqqryz0rqMJ/Phz/6oz9Ct9vlccL9+/fxox/9CL1ej+flNLahMU+/30cwGMT169ff+N/ZNGNy90BH7kajgXK5DJvNxiKYaDSKGzdusHENvZcA4MmTJzxKevfdd3k0NMle0DIjzpIALy8vw+FwcG5eLpfD3Nwcq0JprkvPgcRPqVSKzW4ajQYrQ//1X/8Vf/qnf4pf/OIX+NnPfgaTyYRAIABZllGtVnXP4aoyjr4NF9LpnnWlouJLGvF0Oo1IJAKfz4etrS2kUinkcjk219AeY2nDabFYeENKne36+jr/3eFw4ObNm8xfvQqx39TZkKiB4uK13fzdu3eRSCRYaaYoCn+dTgblchmqqmJjYwNWq1XX+ZvNZhSLRXg8Hv43+vrCwoIu3Xcaj3NXCWd9dsi3mBKud3Z2YDKZTt2OLE7J4xgYfyboNT3vNHUW+0Trx/zo0SP+LLZaLezu7iKVSqFWq6FYLOLRo0d47733AIw/q7TMoxMR3W8+n8dPf/pT3cnqb//2b3Hz5k243W7Mzc3pEoenhXE0iUv109XC4XBgbm6OvXVpxAA8/QXTvCcWi505DwbAzkQA2IruqlCYut0uOp0O7HY7d/30nCktw+l0otFoIJfLYWlpCcD4JEE6+UgkglwuxwbkZ/GXqYsFnoZMRiIR2O12LrTT9KaeNpDacGVlBYlEQheFo53dOhwOAPrgAK04YvJzoZ0fn/f6a6mcBPo+YjGQaiwSiZypgiuXy9ja2kK73WZmDMFsNnOGGgCdlzYtad/0z/GL4sL9dLUgjTUwfjOQKbmqqlhdXYXT6eRjlZZwT3psWZbh9Xp5oeByuXD79m0m9xN95aowFfb29rC5ucmsjps3b/JsTpIkznuj2W2n00GhUOBZrZaWNxwO0W63YbPZEIlEcP/+fVitVhgMBvz0pz/FD3/4Q9bhy7KMZDI5FVaXbwO0IwdgrOLa29uD3W7H+vo6Dg8Poaoqv5ZnzWhVVdUxBYBnB1xqx16tVou/r9VqwWKxcASPyWRiO9W9vT3UajXY7Xbcvn2bRUmffPIJBoMBms0mfvazn+kuCkajEb//+78Ps9nMAp1SqcRm6WTxOE241E73yZMn536N3lR05aXxQqfTwfr6OgCw7JA620gkAr/ff2XVKvQzkmxza2uLAzsBMDeRqF/xeBzD4ZBdxRwOBxqNBo6Pj2G1WgGMt8Y/+MEPsLa2hlwuh0gkgvfff1+3/Jpcugi82dCeRDY2NnhB1mq10Gw2OebcarXy3N9kMsHhcLAIZpIBBJx/ItTmqZHpudvt5pOkw+FgwQJ1wfv7+7xAIxETqRiJq+/z+fCTn/wEH3/8McxmMwaDAX784x8jEAjwyW0wGPDPMJlwMS241KKrjY0Bxi8uzSYbjQbsdjt7ftKL8iz11VUHLSpofLK6uqqLK6LZ1tdff83drs/nQ7FYRC6XQ6/X45EMjRRIuODxeBAIBHhmKzAd0BreuN1u9lc463a1Wo0Xy8Dp4nreWOmskQLNb4ExK4EoagDYC8VsHpcTk8mko4XRaKtYLJ5qCCKRCGZnZ5khQQ2Ux+Nhju604VLHCx6PB/1+H81mk5M+U6kU8vk8VFWFqqrw+/3odDo4ODhgHflZ0B5hrjokSUIsFuMl4uHhIY8L8vk8er0eR9LTzKzZbMJgMAAA/+n3++HxeNhi79d//dfZCFrg6qPb7WJnZwetVguj0YgbFfJcoPQF8jmh71lbW0Oj0YDH43mu9wKxZ6LRKCsSk8kkWzKSwIFYRplMBuFwWMekODw8BDD+nF6/fh3D4ZATYjweD7xeL2w2Gxvp9Pt9mEwmuN1uliJbrVa2sZymBe+ldrqSJOHmzZtoNpsoFouoVCowmUyc0QSAU2mJqeD3+9nQhSDLMu7evTtVLwRBSzDX/syxWAzlchmbm5vcUZCqLBwO88VqZ2cHyWSSKXUCVxvaZdfu7q7Oa8Fms7EcFxh3koPBAH6/H81mk08/2uDW51mY0mKW5Pk0jjqL5TIpZHA6nbwoI7YN2UySejSVSuGbb77R/Sy1Wo3/nk6nATxdqk3biOFSiy69gZaWlmA0GuF0OnUWcsFgEDdu3OCRQzgcxtraGu7du8dkbACYm5ubmrmkVl03OQaQJAlmsxmhUAixWIzllHSBoqPmYDDA4uIiNjY2AOiPgoKVcHWhjTvXggRBJKev1+s4PDzUGT11Oh1YLBa0220UCoVTdpxnPZZ2nwKcHkecReHSUsvo/ZdIJLC8vKybDdNtl5eXkclkcOvWLWSzWXS7XdTrdY4TIv6v2+1ma8dpGzFc6niBtqVOpxM3b96ELMt8lKatO8WGGI1G2Gw2+Hw+NBoNVKtVuN1unlFOy5F5a2sLm5ubUBQFo9GIJbtk10eqvGq1ir29Pfj9fgyHQ+Zi2u12Jr+TKCWZTJ5KdRB4M/EsAcDe3h729/cRDoexvLwMn8+Her2Oer3OoqJQKHQqYoneA6RaLJVK6PV65xrHUHHf39/XRfBMmuIoisI+DuTfoE2DpvcxsSFMJhOLeog5s7u7i42NDeaYU7GnC4UsyxyaSk3XtJ3YLrXoTqptiBYCgJ2KyOd1d3eXY9lNJhMURcHCwgKWl5enppBQl0ud62g0wtHREWZnZ1Gv17lzaTabnCNH3F5y2qeLF/DUe1f7phd4c6EtdtpkX20GnjZKiehZWin21tYWBoMBfD4fBwUMBgOmYIZCIfT7ffR6PV3surbYk4yX/Be0Kb4Eyr+jsEtK26YASpfLhV6vh9nZWfZoAMbL89FohFarBVVVMRqNUC6X0ev10Gg0mHWjHS8Q28Hr9U5l1t6lz3QnKSvHx8eoVCo8f6Irn3Z7mkgkrmzcziS0ZHZicxgMBn5jAmM9+2RU0XA45FyqTqcj1GNTAGo6yIOEOOx0hJ8UMZAQhl777e1tHs8Fg0GEQiEcHh6i3+/jl7/8JX7jN34D3W5Xd2ynItvv9/l7teME7QhhksJZKpWQz+c5fy8YDPLfC4UC57Vp35eUqUe0NfJ5rlQqGA6H2NzchN1uBzDeUfT7ff481Go1ng9Pk2LyUjtdAs1/njx5gnq9rlsYGQwGyLLMwYik4Z6Wzu2rr77C/v4+VFVFrVbjBGNgPJs1m81oNps6apDL5UKn08FoNILL5UI6nZ6K38XbDvKQpnHB8vIyd7eRSAQPHz7EwcEBGo0GDg4OmDZYKpW4YFKMD8Wn06mp3+9DkiQcHBygUqmwMQ4VVa2No/ZkpD2N0ihgNBqhWq3CYrGwIKJYLLK1p9VqRS6Xg8Ph4HGAtpMme1Gv1wuHw4HFxUUW9zgcDqiqCrvdrlOqWSwW9uGllOuDgwP4/f4rL5Z4LTLgb0s/2NzcRDgcZj7qtCzNAODk5IT/rlXmmEwmXnwA4NkueRJLknQmH1PgaoK611QqBQA6z9jFxUWsr6/rXOVCoRDLYmkkRycjAJwpSGY0Xq8X8/Pz8Pl8vIyibhk43zbxLO6udjFL1DDi2eZyOcRiMd1JdHt7W9dJp1IpmEwmZt8Q0uk0YrEYh2vu7OzAbDazl7NWFr+1tYVer4eHDx/io48+eplf/WvHaym6FA2SyWRO8XCHwyG/GNogu2mBzWZDo9EAMDYP9/v9qFarPI+jzfQk3nvvvTP9bQWuJqjjpCO61iAGeDrjtNvtSKVSXCAn2TzEvaWkFbPZjO9973sAno6yms0m9vf3uVg/i9GiZdNQMY1EIshms2xmMxwO4XA4cO/ePaiqikKhwMwI+rnS6bTO45dMl7QeCxTJQzQzq9WKSCSCg4MDmM1m3YVobW0NDx48mAomw2spupIkYXV1VXcFJWgzmqapwyWEw2Euup1Ohw3IzWYzb5b39/cxHA6ZHkZcZkH/urrQUrKA8fGfXMPOMpQhSe2kAbkkSbh79y5TsSwWiy5bUFuUdnd3kc/nmTnwPE2MVhFJsuFutwuz2YwbN27g0aNHbHJDoP+nAl0oFDAYDHSm6CR5p0VfOp0+5Wo2Pz+vo8hls1m+EDUaDV6+XfW0ktfmMgaM31Cff/65bq7r9/unuptLpVLodrs4OTnRdb39fh+tVktHkaGj1zT/Pt4WTKY1nOcaRrfd2dlBOp1mLmuz2WSzckmSmM+eSqW4y0wkEuh2u/j00091mYI0532ei7bWUpWeEz33QqHAX7NYLHxKtdvtiMViPAemInxycsJsC1qGU0E/K2SAFovUbGSzWW7Aropz4PPAMNJusV4TJgUC07ChfBZ+/vOf6yzwLBYLzGYz3n333Str3iPwbEx2us/axtNtaXFGoKimQqEAl8uFXC4Ht9uNYDDIMTraTjGdTuPo6IhtQ9fW1r4TC+AskYYsy+w4dufOHZTLZUQiEXz55Zen0rnpuVDMz8nJCVRVxcrKiu5CQD+3z+fjNOpwODxVajTgNXe6hLcpAoZMbLRF12AwoNVq4cmTJ3jvvfem/qLzNkKr3HrewkfpujabjROgqQjT+6dWq/H8t1qtIpVKcWBkIpE4ZaZ0Fh3svOdBzdBgMIDT6YQsy6jX65xa8eTJEzgcDpb0FgqFMwsu3ZckSbBarRwhPz8/f+bY5cmTJ+j1eqfGJdOCN6Lovk3IZDLMwyWqGP1JZtBidju9eJ40BLpNMpmE2Wzm4NZJOTDB7Xaj1WpxYgMxHaiYUaeona9+2/M4q7sNBoOsSiuXy/D5fDo2gtvtZuOqSeTzeWxsbCAUCrGajrjGk2MXeixqQF7kQnUVIIruJYOYG1rKHOXCmUymqZhZCZwP7WzyPNED3Yb+vVAoIJ/PQ5ZljEYjphUC43mq2WxmI/xCoYBKpcJccOC0T8Lk85iEtuBqZ7fD4RDJZJKNbJLJJI88gHHXff36dXzxxRfo9/ss7SfhxObmJqrVKvL5PMdSTT4PbQArYdpie16LOOJthslkwvb2Nn8gbDYbFEVBNBoVooe3ANpUE/IiodktiRRarRYODg7QarWwubmJQCAAs9mMarWKfr/PAgHyKbBarSySoIJMdqAkIdai0Wjgq6++Yg8TEjGQBLlQKODw8BB2ux2dTgfBYBB2ux2lUokLezgcZu+U2dlZ1Go1XrRZLBa0Wi243W68//77iMViGI1GnPOmTYjR/j5MJhPC4TCq1SqKxSKq1SrC4TALRqbFS0R0upeMbrfLyhuz2Yx2u60jgQtMDyaPxZML40gkglKphFQqxXSuRqOBTz75BL1eD/V6HX6/n70UKFhUmxg96cCnHVsRA2DSklEbehoIBHTHe+IOA+OGIBaLsfsdzXc9Hg+73lHALPn40gyWmBXb29uIRCJoNBpsFznZrTYaDb49OYxps9cWFxenosMliKJ7ychkMrz46Pf7U+uk9DbhvJnj5LF4kgMLgI/aVFQePHiAXq/Hy9VWq8XLKSpo3W6XVV90YqK5Lo0ZaCRActvHjx9zIsukCo66ZOKJRyIRLsyBQIB/NkpyicfjujTqXC6HnZ0dFjt0u114PB4OkSXPhrOWZ9qLAIXTWiwWzM3NsVPetEEU3UtEo9FAoVCAx+NBtVqF3+8XBXcK8G3R5pFIhDs+4rmSyksrEmg0Guj3+5xFpu1gtS5cZEoej8cRDAaZk7uzs8McV6J00WOVSiUMBgNsbm4inU7D4/FwF2w2m/H48WNdhhoVePoe7XOgGe3kCU0r2aWdhdfrRb/fRzKZZGWddnk2Pz8Pp9OJ4XCIRCKBX/3qV+j1esjlcvjoo4+m8rMhiu4lgvT0drudeYvT+KZ62zBZXKmDo8XVxsYGNjc30e/3mRpJDmHpdJq7vvX1dSiKwp1qMBjkmf/S0hI/Hnl2UEirz+dDuVwGMF7KWq1W3bKWOsl+v49gMIhut8vUM61ngtbVjL7H4/GwnJc6YBoDaDt77cVGe4HodrtQVRVms/lU2kQkEuGF3crKCjuPAeOZ9LQyeUTRvUSsrq6yz0IulxOBkVMCKq7aDo6KRbfb5YKoBSm/iAkAgItZr9eD3+9npRn5G5C8ljrgVqsFu93OjIVgMMjdJHkZdDod9qme5ND6/X7uvLXFjZRh5K9LxZIkyPS9WkzOq1VV5cSTb775Bv1+H41GgxV19PsimTJJ4gnTvOcQRfeS0O12kcvleIlWq9Vw//59BAIB0fFOCc6ig/X7fTZ6mbzI0pY+HA4jEong0aNHOnrW5uYmkskk0uk0SqWSrmhqE3Zpruvz+XQFMhKJ4N69e3x/JNcleTk5gZ0Vzd7pdNjP9nnem9p5dTAYZM+QcrnMuYeTWWdaQQR9r9/vn/rPxBshA34bQF3QzMwMjo+PdV+blEMKXH3Q651MJtFoNHhpRQwAMnuiRap2DgqMZ6GVSgVer5eP6AQqTMQgGAwGMJlMiMViODg4QK1W02UN2mw2GAwG9uw9i0kxWeDu3bvH3e6zZLha1dpgMECz2YTNZsPh4aHuZyBfaKKGaR9Tm6WWTqenXp0qOt1LgrYLunnzJr9RhSBiOkHLK+Cp/63H49EpuKjgkuG3FsRNpe81GAxwuVzc4dL9UABkJpNBNpvVzXHj8TjK5TKCwSAODw+xv78Pu92uY1KsrKyc2VHSIu0sGa6WfaDtcGl5R6MHSj+h0YfWR+Lo6Ah37tzhccPbZF0qOl0BgQsALc+SySR3tZQdRosw6k5/+ctf6gzJgacG35Nfs9lssNlsqFQqSCaTLIzY3NzULd6oe6aZqdaJ7GWltdqfzWQynRp9xONxTh9+8uQJ3G43BoMB9vf3ddQ2GndM8yjhLIhOV0DgAkCFVTsaMJlMOvbC48ePUS6XTxXcYDDIgoZWq8ULMQBot9tot9ucK0YjDFmWUSwW4ff7OQ+NulQt24Aee35+/rlGWpOm5tlsFoVCAcC4g6Xcs0AgwMVXuygrFoswGo26QMxerwej0cjSYOApi+JtKL6i6AoIXABIrqooClRVhcPhQCKRQKPRwKNHj2Cz2di3gAzAo9EoZFnmhRtJcCkBGgCHNlLSSDAYZCN8YMx0IJVYLpfD6uqqToEG4ExO8bMEHlQYtUwLgpb6OOkY5vP5OHSTuMckUyZqmCzLuk75bdhtiKIrIHABINGB0+nE119/zbNYbfYZMC5M4XAY+Xye/Q6IXUDzWS09SzsNrNfrXKxsNht3wYVCgQskGcgEg0FmVZRKpVPpC88SeNB9OBwOzu0jCppWsUb+CGTiQ+o6i8XC90cXDZvNBqfTiWKxiFarNdUUsUkIwxsBgQsAGbnkcjkcHx+jWq1CkiTEYjGcnJxgOBzC7/ez/4bVakW73Uav10OhUMDS0hKMRiMv0FwuF3q9HqLRKMxmM1qtFmRZxszMDILBIGRZRrVaBTDuJlVVZbVauVzm5N5MJoP9/X1O2CZoU4C1pjJkQiNJEgwGA7LZLNrtNubm5hCJRDAcDrGxsQGj0YhSqYTd3V1OMKbnMxwOOTXYZDKh0+nA7Xbj137t19gI5/r161c+5fd5ITpdAYELxGT8DYWxknuWltuaTCZxcnKCZrOJXC4Hq9UKRVGgKAqCwSDm5uaYFkaeDF6vF2azmfnf2kWdw+FgZy8aWZxn6fisDD6tATtBO1Iwm806BVw4HOYuVotAIACfz4etrS2kUilkMhmOc5+21O9nQbAXBAReEi/CBNDettvt4ssvv8RgMIDBYOBkX+KxAmMfg6OjI56Fas1sgKc0LfqTuLEA2IfhMnjgxGgg83EAOgc0el7Ew6VFYjqdfquWaIDodAUEXho0Dz04OMCdO3cgSdKZlo4UMLm0tMRqNUVR4HA40Gw2uUCl02ldAaKCazQadQWXxgzAWBJM44RKpQKbzQZVVWGz2dDpdJ5bWfYi0F5AaIatLZ6hUIh/JuLsErQd99tSbAmi6AoIvCQikQi2trbQbDbxySefwOVyQVEUtlLUylwBcKRNOp3GysoKfD4fPv30U97oA08LGhUtg8EAWZY5kcFkMvESjbrc4XCIwWAAv9+PZrMJYFywd3Z2YLVaX6jbfZ7ufXL5Nnn/sViMBSLXrl3T0daeNc6YdoiiKyDwksjlcsw97fV6UBSFI8bpCJ1Op9mYhhZqWlHABx98gC+++AJWqxWxWExn39jpdNhrFhhTyZLJJIbDIdrtNgKBAFRV5fmvFl6vF6FQ6IWZAc8TkUPz6n6/f2Ynncvl+PmUy2Xd/RB1zu12s0nP2wJRdAUEXhCTXSAVn0ajwXzYeDwOn8+ns04cDAbodruoVCpsYk6Fl9J2FUXBwcEBP5bJZML3v/993L9/H4qiwOVysc8BdcGHh4e8+Sf+r6qq8Hq9WFhYQC6Xe+Gf8dsy1OjnP8uLV3sf2iWittCSSq9YLL5wF37VIShjAgIvCMo2o0wzk8mEarWK3d1djEYjjEYjHB8fs6ChWq2iUqlge3ubo8Wr1Sqrt/x+P/b29pDJZACM57ODwQCtVgudTgd+vx+j0QiBQIDdv+r1OtPMaD5ss9n4z2KxCIvFgm63i42NDX6c54U2u+xZP38kEoGqqmdKeQeDARqNBuLxOADg//7v/1Cr1VAul+H3+yFJEqLRKGe1vS0Qna6AwAvirC5wfn4eqqri5OQEnU4Ho9EIh4eH/HVZluH1euH3+7GwsICDgwNUKhV0Oh3kcjns7e3x/JdEDhaLBaqq4uHDh2g2m1hZWYHX64WiKBgOh/jP//xPfPzxxzCbzRgMBviLv/gL/OZv/iYXuUkT8kl8V/8F7Vghm83q0n2Bp5lnkiTh8PAQqqpy9BBBURR8+OGHb9VYgSCKroDAC0LLW11fX0elUoHdboeiKOh0Opibm0Mul0MwGIQkSTg6OuKiMzMzA6fTyYswRVGYuzuJ2dlZNJtNOBwOjvqJRqOoVCrY29vDxx9/rAs6/Zu/+RssLS3B5XJhbW3thRdhL/Lz01iBloHaov7ll19CURTuXulCZLVaYbVa0ev1oKrq1CZDfBtE0RUQ+A7odrscNQNAxyRQFAW9Xg/FYhGzs7PsqBWNRk91nBaLhZVrALjbJQ+GXC6Hx48fs1T46OgIzWYT5XJZJ4qg+6pWqxw8+W141tz2eb+XPB7OgtFo5Dk28HQBSCKRt0X2OwlRdAUEvgMo0obmpDabDeVyGaPRiI/RvV6PwycnZ56JRIIL6GAwQDqdZiUZuXdls1mmXcXjcTQaDTSbTdjtdqysrPCSitDv9+HxeFAul1EoFE7lsk3iZWhbkxFFpVKJQ1Zv3bqF9fV1XhqORiMYDAYkEgnuvN/GDpdg/PabCAgITGJ+fp4tDd9//314PB60Wi2exQLjTo8Ko7bgdrtdbG1tcZd748YNLC8vw2q1Ymdnh8UQ5XKZZ6br6+tsEamqKqLRKP76r/8aVqsVLpcLVqsVP/7xj7G4uHipHaTWSYwWgU6nE3fv3sXc3BzfzmQycXrG2w7R6QoIfAdQ8djc3ESpVILL5WKnr2AwiFqtBp/Pp1umaXPTtD4FFEvu8/lYnUaWj1oXMnLoAsZF7Hd+53cwMzODTqeDpaUlVCoVNisHoPNc0OJlDMwn74ecxOx2+6liv7GxwX9/9913v/PjTBtE0RUQ+I6gccCkKIH8ba1Wq27JRIurdDrNiRKrq6sshCAlmd/vh9fr1Xkw/Pd//zcLMN555x0kEglsbGzA4/EAGEtu/X4/yuUyBoMBdnZ2zo3i+a4LtLPuh7rvaDR66rHW1tbw4ORyzHIAAAmzSURBVMEDrK2tnbKSfJshiq6AwEvCarXCYDCg3W7D7/czx9blcjHLYXt7mwvPeR0mzYJJuqstmmtra/jVr36F4XDIoghSqJEwggQHqqoimUyyYCOXy+ke82UWaFpoxQ9nddSRSAQ/+tGPXuoxphGi6AoIfEcQJYpEEA6HA16vl0cH1WqVj9jkvTCZ1kABpX6/H4qiwGw2sxcuFUUq2uTNoCgKdnd3kUgkUK1WYbFYOLOMfB0URUGlUjkzleFVLbIkSZr65N6LgCi6AgLfEYlEAnt7e+j1ejAYDGg2mzCZTGxjSP+RYbjP5+N8MnIio2JMyzfqHGk2u729zW5kwHg5NxwOuRD3ej32502lUjCZTNjc3ESj0QAwNhA/Txwh8Hog2AsCAt8RkiThzp07sFgsGI1GCAaDGAwG3PkC4yJJhuNbW1t4/Pgxb/mJAWG323leOzc3xwswmr12u13Isgy3283FOZ/Pc+erZQbEYjHY7XYu3kaj8a20T3yTIbwXBAReArIsY2FhAZIkwWq1cmdqNpsxHA4xGo34NqlUCrIscySOyWRCMBhEKBRCNpvFYDCA2WyG2+2Gx+OBx+OBJEmoVCqo1Wo6/9x+v88qtU6nA1mWIUkSPvvsM15uybKMer3+wr4LAhcLMV4QEPiO0FKvJuNscrkcarUaAGBubo5nn+RPQN9Liq7Z2Vns7+8DwCmP2kgkgvX1dcTjcTZDr9Vq7EBG93Pv3j2oqsqqtnA4jFarJZgDbxhE0RUQ+I44i3pFVo4kjbVarWdu9okmpk3rTSaTAACXy4VCoQCfz8fG33fv3sX29jaKxSLHmSuKwvHsVHAB6EYM+/v7OjMagdcPUXQFBL4jfD4f7HY76vU6NjY2mB9L4wVgPFM9S4xAHN9+v49gMMhR5CTzVVUVlUoF/X6fC3AsFkOn02G/3UqlgvX1dfZ/kGUZDocDiUQCTqeTQyPFEu3Ngii6AgIvCPKozWQyGA6H3GEGg0G+za1bt7j7fPToESfj0hiCRg+VSgXBYJALLynUVFVl4xsy+y6Xy/zvNPuNx+O8NCO6GiXrvu0eB28qRBqwgMALgkxegHF2mdaMO5fLccy4yWTC8fEx5ubm4HK5uOMkdzK73Q6bzcYR6z6fD4lEgkcPAFhaTFQxYEwvk2WZl2v9fp+9eknFJtgKby4EZUxA4AUxPz+PeDzOVDHKMCPl19bWFvL5PE5OTgCMTb0XFxeZm5vP59mg3Gg0cpcLjOfEoVAIwWAQXq+XzW+GwyFkWWZ6GXXK1OVWKhXs7OzAbDaLgvuGQ4wXBAReEJIk4ebNm1heXsbW1hZqtRrcbjdbHKZSqVNBkhTcOD8/j1KpxJ1usVhEMplEKBRCv99n71xargHjbtdut/P4wG63IxQKcQwQQatiE3hzIXi6AgLfESaTCaFQCHNzczCZTDg5OUG9XofT6cSNGzfQ7/ehqio6nQ6MRiOq1SpkWUa324XL5UKz2eRFWjweR6VSQSAQwOLiIiwWCyRJgsFgQL1ehyzLsNlsMBgMqNVqCIfDuHHjBoxGI1wuFywWC27cuME+DAJvLkSnKyDwCrC1tYVerweLxYJIJAJJkngUYLfb2QNhf38fqqrCbrej1WrBYrEgFouxJJi6W2JCUBElJzOii5VKJQBg5dr+/j4v0ATebIiiKyDwCrC6usojBSp+2lRej8cDWZaZ6eD3+9k3gWbBNHYoFouw2+0Axs5jwWAQjUYD7XYb1WqVl2/kx0A8YDFauBoQ7AUBgVcErcrs7/7u7/CXf/mXMJlM6Pf7+MlPfoLf+q3fYu5sNBrF4eEhgsEg3nvvPUiSxK5j5XKZC28oFOKvkWINGDMYer0e0um0cPq6YhBFV0DgFaLRaOC//uu/8Hu/93s6WbAkSfinf/onNh0nAcRZRbPb7eLzzz/nZVqxWEQ6nUatVkM+n4fZbGZnMcolE7g6EOMFAYFXiC+//BK7u7unknrNZjNyuRzi8TjMZjOWlpZY4jsJSZLg8/lQLBbhcDgAjAuxoigYjUai4F5xiKIrIPCKQe5fWgwGA3z44Ye6Qun3+9kXVysR7na7GAwGvFQjRRowlhXPzs6KkMcrDFF0BQReEbrdLrxeL6LRKH7yk5/g448/ZsXYX/3VX+Hu3bu621JIJanP5ufndTNd4Kn4gUIph8MhXC6XKLhXGGKmKyDwikDyYJrXVqtVlEolvPPOOwgGg7h27RqPFLQhlWRKo3Ut83q9CIVCurgdALrFm8DVhOh0BQReEbS0LwDweDzw+XwYDodQFAUPHz5kQQSND2KxGHNr5+fnsbe3h1arBaPRiEQigcFggGaziU6nA6vVCrfb/Tp/RIFXAFF0BQReESRJwurqKorFIpvT0J+yLOP27ds4OTlBNptlvi5xeokuZrVa0Wq14PV6sbW1hZ2dHY7o6XQ62NnZgclkEjSxKwxRdAUEXgFoRquqKobDIbuC0Z8zMzPw+/3Y2tpiRVooFEIul4Oqqmg2mzzHpZDJ+/fvAwB6vR6Ap3NdgasNUXQFBF4BaB5LSjJZltFsNrnTrdVqaDQacDqdGA6HWFpa4nEDzWxpjntW0gQwZi4sLS0J5dkVhyi6AgKvAFQIrVYrvv76aw6QBMbFtFgsspn5ysoKCoUCu5AROp0Oe+Fub29DURRmPwDAysoK3nnnnUv7mQQuBsJPV0DgFYBSGg4ODtDr9bjDdblcCIVCAIBms4lkMolIJIJyuXzqPlqtFh48eIBcLoe9vT1dwQXA/rwCVxui0xUQeEVoNBpsLk6gccHR0RGazSYajQYODg5QLBZhtVrR6XT4tkajEfl8HuVymee4WgjmwnRAdLoCAq8Ijx490nWmDocDqVQKkiTh9u3b/P9kPE5JEAB44eZwOHD9+nUOtiQEg0GkUqnL+2EELgyi6AoIvCRIyks+CYThcIhMJoNut4uTkxM0m01ks1n+utFoxNraGsLhMD744AOEw2Hm5GqXaX6/XwgipghivCAg8JLQqsuSySRKpRK63S7C4TArzGjsUCgUoKoqHA4HFEVBuVxmefDa2hpHtWshgianC0IGLCDwkiCOrta0ZvLfu90u1tfXkUqlUC6XEYlE2LxcFNS3C6LoCggICFwixExXQEBA4BIhiq6AgIDAJUIUXQEBAYFLhCi6AgICApcIUXQFBAQELhGi6AoICAhcIkTRFRAQELhEiKIrICAgcIkQRVdAQEDgEiGKroCAgMAlQhRdAQEBgUuEKLoCAgIClwhRdAUEBAQuEaLoCggICFwiRNEVEBAQuESIoisgICBwiRBFV0BAQOAS8f/QA5N8fj1fcgAAAABJRU5ErkJggg==\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(6, 5))\n", "plt.scatter(X_digit_umap[:,0], X_digit_umap[:,1], s=1, color=\"0.7\")\n", "plt.scatter(X_digit_umap[model_digit.ranking, 0], X_digit_umap[model_digit.ranking, 1], s=20, color='k')\n", "plt.axis(\"off\")\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(12, 5))\n", "for i in range(10):\n", " plt.subplot(2, 5, i+1)\n", " plt.imshow(X_digit[model_digit.ranking[i]].reshape(28, 28), aspect='auto', cmap='Greys')\n", " plt.axis(\"off\")\n", " \n", "plt.tight_layout()\n", "plt.savefig(\"digits-img.pdf\")\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 33, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "i = 9\n", "\n", "plt.figure(figsize=(14, 5))\n", "plt.subplot(121)\n", "plt.title(\"MNIST\", fontsize=16)\n", "plt.scatter(X_digit_umap[:,0], X_digit_umap[:,1], s=1, color=\"0.7\")\n", "plt.scatter(X_digit_umap[model_digit.ranking[i:i+1], 0], X_digit_umap[model_digit.ranking[i:i+1], 1], s=20, color='k')\n", "plt.axis(\"off\")\n", "\n", "plt.subplot(122)\n", "plt.title(\"Fashion MNIST\", fontsize=16)\n", "plt.scatter(X_fashion_umap[:,0], X_fashion_umap[:,1], s=1, color=\"0.7\")\n", "plt.scatter(X_fashion_umap[model_fashion.ranking[i:i+1], 0], X_fashion_umap[model_fashion.ranking[i:i+1], 1], s=20, color='k')\n", "plt.axis(\"off\")\n", "\n", "#plt.savefig(\"embeddings.png\")\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# ML" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 60.0k/60.0k [01:55<00:00, 519it/s] \n" ] } ], "source": [ "(X_fashion_train, y_fashion_train), (X_fashion_test, y_fashion_test) = fashion_mnist.load_data()\n", "\n", "X_fashion_train = X_fashion_train.reshape(X_fashion_train.shape[0], 28*28)\n", "X_fashion_test = X_fashion_test.reshape(X_fashion_test.shape[0], 28*28)\n", "\n", "X_fashion_apricot, y_fashion_apricot = FacilityLocationSelection(60000, verbose=True).fit_transform(X_fashion_train, y_fashion_train)" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "10 0.4649 0.5374\n", "20 0.5393 0.5382\n", "50 0.6388 0.6445\n", "100 0.6949 0.6925\n", "200 0.7334 0.7402\n", "500 0.7465 0.7588\n", "1000 0.7612 0.764\n", "2000 0.7614 0.7642\n" ] } ], "source": [ "from sklearn.linear_model import LogisticRegression\n", "\n", "ns = [10, 20, 50, 100, 200, 500, 1000, 2000]\n", "\n", "accs_apricot, accs_random = [], []\n", "\n", "for n in ns:\n", " model = LogisticRegression(max_iter=10000).fit(X_fashion_apricot[:n], y_fashion_apricot[:n])\n", " y_hat = model.predict(X_fashion_test)\n", " acc_apricot = (y_hat == y_fashion_test).mean()\n", " accs_apricot.append(acc_apricot)\n", " \n", " accs_random_ = []\n", " for i in range(20):\n", " idxs = numpy.arange(X_fashion_train.shape[0])\n", " \n", " numpy.random.seed(i)\n", " numpy.random.shuffle(idxs)\n", " \n", " X_fashion_random = X_fashion_train[idxs]\n", " y_fashion_random = y_fashion_train[idxs]\n", " \n", " model = LogisticRegression(max_iter=10000).fit(X_fashion_random[:n], y_fashion_random[:n])\n", " y_hat = model.predict(X_fashion_test)\n", " acc_random = (y_hat == y_fashion_test).mean()\n", " accs_random_.append(acc_random)\n", " \n", " accs_random.append(accs_random_)\n", " \n", " print(n, numpy.mean(acc_random), acc_apricot)" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.plot(accs_apricot, color='#FF6600')\n", "plt.plot(numpy.mean(accs_random, axis=1), color='0.3')\n", "\n", "plt.fill_between(range(len(ns)), numpy.min(accs_random, axis=1), numpy.max(accs_random, axis=1), color='0.7')\n", "\n", "plt.scatter(range(len(ns)), accs_apricot, color='#FF6600', label=\"Facility Location\")\n", "plt.scatter(range(len(ns)), numpy.mean(accs_random, axis=1), color='0.3', label=\"Random\")\n", "plt.xticks(range(len(ns)), ns)\n", "plt.xlim(0, len(ns)-1)\n", "plt.ylabel(\"Accuracy\", fontsize=14)\n", "plt.xlabel(\"# Examples\", fontsize=14)\n", "plt.legend(fontsize=12, loc=4)\n", "\n", "plt.savefig(\"fashion-ml.pdf\")\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### digits" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 60.0k/60.0k [02:25<00:00, 412it/s] \n" ] } ], "source": [ "(X_digits_train, y_digits_train), (X_digits_test, y_digits_test) = mnist.load_data()\n", "\n", "X_digits_train = X_digits_train.reshape(X_digits_train.shape[0], 28*28)\n", "X_digits_test = X_digits_test.reshape(X_digits_test.shape[0], 28*28)\n", "\n", "X_digits_apricot, y_digits_apricot = FacilityLocationSelection(60000, verbose=True).fit_transform(X_digits_train, y_digits_train)" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "10 0.33 0.5036\n", "20 0.4941 0.6196\n", "50 0.6478 0.7679\n", "100 0.7609 0.8184\n", "200 0.8045 0.8472\n", "500 0.8355 0.8753\n", "1000 0.8615 0.8837\n", "2000 0.869 0.884\n" ] } ], "source": [ "from sklearn.linear_model import LogisticRegression\n", "\n", "ns = [10, 20, 50, 100, 200, 500, 1000, 2000]\n", "\n", "accs_apricot, accs_random = [], []\n", "\n", "for n in ns:\n", " model = LogisticRegression(max_iter=10000).fit(X_digits_apricot[:n], y_digits_apricot[:n])\n", " y_hat = model.predict(X_digits_test)\n", " acc_apricot = (y_hat == y_digits_test).mean()\n", " accs_apricot.append(acc_apricot)\n", " \n", " accs_random_ = []\n", " for i in range(20):\n", " idxs = numpy.arange(X_digits_train.shape[0])\n", " \n", " numpy.random.seed(i)\n", " numpy.random.shuffle(idxs)\n", " \n", " X_digits_random = X_digits_train[idxs]\n", " y_digits_random = y_digits_train[idxs]\n", " \n", " model = LogisticRegression(max_iter=10000).fit(X_digits_random[:n], y_digits_random[:n])\n", " y_hat = model.predict(X_digits_test)\n", " acc_random = (y_hat == y_digits_test).mean()\n", " accs_random_.append(acc_random)\n", " \n", " accs_random.append(accs_random_)\n", " \n", " print(n, numpy.mean(acc_random), acc_apricot)" ] }, { "cell_type": "code", "execution_count": 34, "metadata": {}, "outputs": [ { "data": { "image/png": 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Nm5g9ezb3338/ly9fZsWKFXfcMEbopiRJ37I483PLQ3lRPxDefyIseRNGLbx92RAbrcWwtrq6Oq5du0ZBQYGxfLk5ScOgoaHBmDjy8/PRaDQoFApCQ0OJjY0lMjISLy8vi2IyjHsEBgYSERGBv79/h65MK9ie3RJJeno6kZGRhIeHA5CcnExqaqpJIpHJZMYSCtXV1QQGBtorPKEz0Okg5ySc+Y9+3KMsW7/Ab0ACJK2EEQv0mzF1cjU1NcbkUV+vL9jYNHlkZWW1Wj1XkiQqKiqMXVYlJSVIkoS7uzv9+/cnIiKCsLAwi4saGhKFr68vkZGRBAcHi/UcgpHdfhOUSiXBwcHGx0FBQaSnp5sc8+STT/Loo4/y0UcfUV9fz5YtW+54Xp1OZ9UNWuytoaFBxH87Oi0eRWfwvvwt3pf34VyjRJI7URtxF1UjHqGmfyJa958L5xVV6j8s0FF+/mq12rhLX9OS67dqqXruoUOHuH79Olqtlry8PKqrqwHw9/dn5MiRREZG4u/v36YuJ8OeGT4+Pnh5eeHk5GSsyNteHeVn31adPX5rslsiaekP49Zf7JSUFO655x4eeeQRzp49y7PPPsuuXbtu22yWy+UdumviTjI7eNfKndgkfq0GLh7Qtzx++BKqS8DZDYbMgpGLkA2bi5dHDyzrkGmZo37+kiRRVVVFUVERhYWFaDQas3YEbKl6rlarJT09HYVCQe/evRkxYgQRERF4enq2KTaFQoFCoSA8PNy48ZMtiN99x+qUOyQGBwdTXFxsfKxUKpt1Xf3nP//h/fffB2DkyJGoVCoqKiro1auXvcIUHEWjgsy9+vGOc1/pq+O6ekJsMoxaBLFzwM0aqcNxDIsDDclDq9WalTyafv3tquc+9NBDbe5uarpYMCIiAj8/PzFoLpjNbolk6NCh5OTkkJ+fT1BQECkpKWzYsMHkmJCQEI4dO8bChQu5cuUKKpUKPz8/e4Uo2Ju6Dn7co08e53fpN3Zy94Xhd+un6Q6eAS7ujo6yXQxjFgUFBcZV4ZZuK6tSqcjKyuLChQutHmPodrJE08WCkZGRBAYGiuq4QpvYLZE4OTmxZs0ali9fjlarZdGiRURHR7Nx40ZiY2NJSkri+eef56WXXuKDDz5AJpPx6quvindFXU19FZxP0U/TPb9bX5rEsxeMvlff8hiY5LAtYq3FsECwoKDAuD7DkpYH6BNQSUkJmZmZXLlyBa1Wi7+/PzExMVy+fNkkGd2pem5Thm5iT09P+vTpIxYLClZh12kX8fHxzdaFrFx5s75RVFQUn376qT1DEuyhthzO/Vff8sj8FhrV4BMME36lTx7RU0DRuWcA6XQ6ysrKKCgoQKlUIpPJLF4gCKatj/LycpydnYmOjmbQoEEEBAQAEBoaavGe52KxoGBLnfuvV+i4qkr0A+Vnt8OF/fqSJH4REP+4Pnn0mwCdfO2BVqultLSUgoICSkpK2rS6HFpvfUyePJn+/fs3azFER0ffMXHAzQ2fQkNDiYiIwNfXV7TwBZsQiURom5b28xiQoF/fcXY7ZKWBpNOvKJ++Sp88IuM6XfXcWzU2NlJSUkJBQQFlZWUmycOShYJgXuvDUoZxj4CAAOO0X7FYULA1kUgEy7W0n8eWB/WJA/R7dMx5EUYt1lfS7eTJQ6PRoFQqKSgooLy83Oy9yltiaevDHIZE4ePjQ58+fcRiQcHuxG+bYLmW9vOQdODeA54/BsEDHROXFanVapRKJfn5+VRWVlpcTfdWtmh9yGQy3N3diYyMJCwsDDc3tzbHJwjtIRKJYLnW9vOov9Gpk4hKpaK4uJj8/HyqqqranTxs2foICAjAycmJkSNHtjk+QbAWkUgEy5Rc1te30rVwg71dkcQOqrGxkatXr1JQUEBNTU27kwfYbuwDIDIykr59++Lu7i7KcwgdhkgkgvmKfoI3p+n37mjUQGPDzdc62X4elZWVZGRkUFFRgUwms3is41a2aH3AzWm70dHR9O7dWywYFDokkUgE8+Sdgbdm6BcLPndcX8K9k+3nAfr9xzMyMigvLzcmD0sWCt7KFq0P0Hdh+fr6Eh0dTUBAgJi2K3RoIpEId3blKPxtNnj2hKdTIaC/fnOoTrCfh0F1dTWZmZmUlZXZpPUREBDQ7taHYfwjNDSU/v3726xYoiBYm0gkwu1d2A/v3g2+ofD0vk43DlJTU8OFCxeM+3JYu/UxYMAABg0ahL+/f5vPq1AokMvl9OvXj8jISFGyROh0RCIRWnc+Bd5bBIHR8Pu94Bt856/pIOrq6rhw4YKx1lVbE4itWh+gTyDu7u4MGDCA4OBgsXBQ6LREIhFa9v3n8P790Hs4rPwGvDpHKf/6+nouXrxIUVFRuxKIrVofMpkMmUyGv78/0dHR9OzZs83nEoSOQiQSobljH8KHj0D/CfDkLn1p9w6uoaGBixcvUlhY2OYEYuvWB0BERAT9+vXD3b1zl8cXhKZEIhFMHXgXtj0Bg6bBY1/qN5fqwFQqFZcuXSI/P9+iBNJ033NPT09CQ0O5fv26VVsfcHP6blRUFL179xalS4QuSfxWCzd9+zps/wMMmwcrPtNvb9tBqdVqsrKyyM3Vr7K3ZCbWrfue19bWkpWVhbe3t1VaH4buKzF9V+guRCIRQJJg15/1H3G/gEe2gsLZ0VG1SKPRcOXKFbKzs40bRlnqxIkTLZZ7lySpXVOZDYPlISEhREVFiem7QrchEkl3J0n6VsjeDfqNppb9r74ESgfT2NjIlStXuHr1apsTiCRJXLx4kbq6uhZfv91+6LdjmL7bt29f+vTpI6bvCt2OSCTdmU6nHw859B4kPAm/2NjhNptqbGwkJyeHy5cvo9Pp2ryYsLKykrS0NK5du4ZcLm/xPF5eXhadU6FQ4ObmxoABAwgJCRHTd4VuSySS7krbCP9+BI5vhVnPw4JXOtS+IVqtlpycHLKystqVQLRaLT/88ANnz57F2dmZKVOmIJfLOXz4sEn3lrn7njedvhsVFUXPnj3F+IfQ7YlE0h01quGf9+v3UJ//V/0mVB2EVqslLy+PS5cuodPp2lWJt7i4mEOHDlFZWUn//v256667jHuVy2Qyi/Y9bzp9t2/fvmLPc0FoQiSS7kZdD/9YBD/ugSVvwrTfOzoiQD/rKj8/n4sXL6LVatu9idTJkyfJzMzEy8uLWbNmERFhWtrFkn3PnZyciIqKIjw8XEzfFYQWiL+K7qShGt65G7IOwgObYfKvHR0RkiRRWFhIZmYmjY2N7d5IKjs7myNHjtDQ0MCwYcMYPXo0zs6WzUAzdF/5+PgQHR1NYGCg6L4ShNuwayI5dOgQ69atQ6fTsWTJElasWGHy+iuvvMKJEycA/Url69evc/r0aXuG2HXVVeor+Oaegl9tdXjJd0mSKCoqIjMzE41G0+7NpGpqajh8+DB5eXn4+/sze/ZsixcTNp2+279/f3x8fNoVkyB0F3ZLJFqtlrVr17JlyxaCgoJYvHgxiYmJREVFGY/54x//aPx869atZGRk2Cu8rq26FDbO0G9MteJzGHmPw0KRJIni4mIyMjJQq9XtTiA6nY6ffvqJ06dPI0kS48ePJzY21qIZVAqFAplMZpy+6+rq2q6YBKG7sVsiSU9PJzIykvDwcACSk5NJTU01SSRNpaSk8Lvf/c5e4XVdlUXw1jQoy4bH/wuxsxwShqGOVUZGBg0NDe1OIABlZWWkpaVRWlpKeHg4kyZNsmgRoGH9x5AhQwgNDRXTdwWhjeyWSJRKJcHBN8uQBwUFkZ6e3uKxhYWFFBQUMH78+DueV6fTdeq9qxsaGmwWv/ONQiJ2PIKi7joF8/9BnSISrHytO8UvSRL19fWUlZXR2NjYrv1ADBobG/n+++9JT0/Hzc2NxMRE+vfvb9E4hqGEiZubG9XV1Vy8eLHdcdmbLX937EHE33XYLZG0dANp7Q8/JSWFmTNnmrU/tVwu7xQ79LUm01Y7DCovwYe/Ak0NrNpPZN9x1r8Gt4+/rKyMjIwMamtrrdICASgoKCAtLY3q6mpiYmIYN24cbm7m1wSTy+W4uLgQFxdHjx49bPfzt4POHDuI+B3NmknQbokkODiY4uJi42OlUklgYGCLx+7evZs1a9bYK7Sup/A8vDUdJB08cwDCh9v18uXl5fz000/U1NRYLYHU19dz7NgxLl++jK+vL3PnziU0NNSic8jlckJCQhg6dKiYxisIVmS3v6ahQ4eSk5NDfn4+QUFBpKSksGHDhmbHXb16laqqKkaOHGmv0LqWnNPwt5n6yr1PH4DggXa7dEVFBRkZGVRVVVktgUiSRFZWFseOHUOj0TBq1ChGjBhhUSKQyWTI5XJGjBhBSEiIVeISBOEmuyUSJycn1qxZw/Lly9FqtSxatIjo6Gg2btxIbGwsSUlJgL5ba86cOWLefltcPgx/nwOeveDpVAjoZ5fL3rhxg4yMDCorK62WQAznTUtLo6ioiKCgIKZMmWLxjoIKhQJvb29Gjx4tNpMSBBuxa/s+Pj6e+Ph4k+dWrlxp8ljM1GqjjL3w7nzwi4Cn90HP3ja/ZH19PUVFRWRnZ7e5FlZLdDod586d48yZM8jlciZNmsSgQYMsfnMhl8uJiooiKipKvDERBBsSHcVdwbn/wuYl+m6sld+CT5DNL1ldXc2xY8dQq9VWPa9SqSQtLY3y8nL69u3LhAkT8PS0bJfGWwfUBUGwLZFIOrtTn8K/HoCIUfDU1+DpZ/NLXr9+nZMnT1q1G0utVnPq1Cl++uknPD09mTFjBn369LH4PAqFguDgYDGgLgh2JP7SOrMj/4KtyyFqMjyxE9xtX9KjqKiIH374wapdWTk5ORw5coTa2lpiY2OJi4uzeHMoMaAuCI4jEklntf/v8P+egsEz4LEvwMX2Zc2vXr3KhQsXrJZEamtrOXLkCDk5Ofj5+TF9+vRWp4TfjhhQFwTHMiuRrFu3jiVLljBgwABbxyOY4+tX4YsXYMQCWP4pONu2NpQkSWRkZJCXl2eVJGI438mTJ9HpdIwdO5Zhw4a1qUSJXC6nf//+REdHiwF1QXAQsxLJ+fPn+eijjxgyZAhLliwhOTnZ4m1JBSuQJPjq/8CedTD2fnj4A1BYViLdUjqdjjNnzlBaWmqVMZHy8nLS0tJQKpWEhYUxefLkNlXZlcvlODs7M2bMGDGgLggOZlYi+fTTT7l69Srbt2/n7bff5tVXX2X69OksXryYsWPH2jpGAfRJ5PNnIPUtmLQclr4H8juXkGmPxsZGTpw4YZUFho2NjZw9e5Zz587h7OxMQkJCm1sRCoWCoKAghg0bJgbUBaEDMPuvsF+/fvzhD39g1apVHDx4kO3bt/PII48QGhrK4sWLuffee8U7Q1vRaeHj38Lh9yFxJdz7ps33V29oaODYsWPU19e3uzurqKiItLQ0bty4QXR0NHfddZdF9bEMxIC6IHRMFndKNzY2UlNTQ3V1NTqdjpCQEL766iumTp3Kzp07bRFj96bVwJYH9Ulk9ot2SSI1NTWkpaVRV1fXriTS0NDAgQMH2LVrF5IkMWfOHKZOndqmJKJQKPDx8SEhIUEkEUHoYMxukZw/f57t27eze/du3NzcuOeee/jrX/9q3F/kww8/ZP369cybN89mwXY7GhW8fx/88CUseAVmv2DzS1ZUVHDixAkaGxvbfA5Jkrhy5QpHjx5FpVIxYsQIRo0a1eZuKDGgLggdm1l/2fPmzSM7O5tJkyaxfv16EhISmpV4nzdvHuvXr7dJkN2Sug42LYSMb+AXf4NE25eOUSqVnDlzpl3jIVVVVRw+fJiCggICAgJITk6mV69ebTqXGFAXhM7BrEQya9YsFi9eTFBQ66U3/Pz8uHDhgtUC69bqq+CdeXA5DR78J0x8xOaXzMnJISMjo81dWTqdjvPnz3P69GnkcjkTJkxg8ODBbd51UAyoC0LnYdZf6K9//esWN6ZSqVTIZDKLVyELt1FbDn+bDXnfw6OfwJj7bHo5SZK4ePGixYUXs7KyOHXqFDU1Nbi7u6NQKKipqSEyMpKJEye2eXq4YUB9+PDhFu83IgiCY5j1dnHlypV88sknzZ7ftm0bv//9760eVLdVVQJvTIWCH+A3222eRHQ6HWfPnsgiLNcAACAASURBVCU7O9ui7qysrCzS0tKoqakB9FWAa2pqiI2NZcaMGW1OIk0H1EUSEYTOw6xEcubMGSZOnNjs+YkTJ3L27FmrB9UtVRTA61NAmQVP7IIR8216OcMaEaVSafGYyKlTp1ocjM/JyWnzYLhhQH3SpEmizIkgdDJmdW01NDS0uH+6XC6ntrbW6kF1O6VX4c0kqL0OK7+B6Mk2vZxKpeLYsWNtnt5raImY+/ztiAF1Qej8zEokMTExpKSk8NRTT5k8v3PnTqKjo20SWJd34mP48kUGlueCTAEu7vDMfugzxqaXra2t5ejRo6jV6hbHve5EpVIhl8tbTECWdmmJAXVB6BrM+ut9/PHHeeKJJ8jNzWX8+PEAHD9+nK+//pq3337bpgF2SSc+ho9WgLoOGYCkBW0jKC/ZNJFUVlZy/PjxNq8R0Wg0fP3110iS1CyZODk5MWaMebGLAXVB6FrMSiQJCQls2rSJTZs2sW7dOgAGDRrEu+++22zrXMEMX76oXyfSVGOD/vlxS21yyZKSEr7//vs2rxHRarXs3buXkpISkpKS0Gq1xllbXl5ejBkzxqzWqUKhwMvLi7i4ODEWIghdhNn9CVOmTGHKlCm2jKV7UNdDeW7Lr5Xn2eSS+fn5nD9/vl1rRPbv309BQQFTpkyhX79+ABZ3a4oV6oLQNYmOaXsqvgD/WNL6634RVr2cJElkZWVx+fLlNicRSZJIS0sjOzub8ePHM3DgQIvPIQbUBaFrMyuRqNVq3nvvPVJSUigqKmrWx56ZmWnWxQ4dOsS6devQ6XQsWbKEFStWNDtm9+7dvP3228hkMgYOHMiGDRvMOneHd+zf8Mlj+p0MZzwLB9427d5y8YAF66x2OUmSSE9Pp6ioqF1J5Pjx41y8eJFRo0YxbNgwi88hBtQFoesz6y9748aN7NmzhxUrVrB+/XqeffZZCgsLSUlJYeXKlWZdSKvVsnbtWrZs2UJQUBCLFy8mMTGRqKgo4zE5OTls3ryZbdu24evry/Xr19v2XXUkqlrY9iQc+wCip+hXq/cMg97D4MsXkcrzkPlF6JOIlcZHtFotp0+fpry8vF11s86ePcv58+cZMmQIo0ePtuhrxYC6IHQfZiWSPXv28PLLLzNlyhRee+01kpKSiIiIoF+/fhw9epT77rvzCuz09HQiIyON1YKTk5NJTU01SSSfffYZS5cuxdfXF6DNxf46jKKfYPO9UJwJc16CuX8Cxc8/8nFLYdxSLmRmMmjQIKtdUq1Wc/z4cWpqatpVAv7HH3/k9OnTREdHM2HCBIvGNMSAuiB0L2YlkuvXrxtv+J6enlRVVQEwefJkXn/9dbMupFQqCQ4ONj4OCgoiPT3d5JicnBwA7rvvPnQ6HU8++WTnHOCXJDi6Rd8ScfOGld/CoGk2v2x9fT1Hjx6loaGhTWtEDC5dusTRo0eJjIwkPj7eoiQiBtQFofsxK5GEhIRQUlJCaGgoERERHD58mNjYWH744QezNylq6cZ2641Gq9WSm5vL1q1bKS4uZunSpezateu2e3rrdDqzx2jsQaauJWT/Wnwv7KQ2fBxFs/6HRgKglRgbGhqsEr9KpWrXeIhBTk4OBw8eJDQ0lKSkJLOr9xq6soKDg9FqtZ2mErS1fv6O0JljBxF/V2JWIpk+fTrHjh1jxIgRPPjgg6xatYrPPvuMkpISHn30UbMuFBwcTHFxsfGxUqkkMDDQ5JigoCBGjBiBs7Mz4eHh9O3bl5ycnNsO8srlcqt2DbVLQTpsfgBKsmDen/Gc8yLRd9hXPdMKXVtlZWWcOnWq3UmksLCQffv24e/vz4wZM8weHO/MA+rW+Pk7SmeOHUT8jmbNJGjWX/2qVauMn8+aNYuQkBDOnDlDnz59mDp1qlkXGjp0KDk5OeTn5xMUFERKSkqzGVnTpk0jJSWFhQsXUl5eTk5OjnFMpUOTJEj7X/hsJbj3gKdTISbBLpcuLCzk3Llz7U4iJSUlfPPNN/j6+jJ79myztwaQyWQMGzaMsLCwdl1fEITO646JRKPR8Ic//IFnnnmGiAj9Oofhw4czfPhwyy7k5MSaNWtYvnw5Wq2WRYsWER0dzcaNG4mNjSUpKYnJkydz5MgR5syZg0Kh4Nlnn6Vnz55t+87spb4KPv4NnPoUBk2HRz4Cn8A7f50VXLlyhYsXL7Y7iZSXl7Nnzx7c3d1JTk42u7vS0JUlkoggdG93TCTOzs4cOXLEpFXSVvHx8c1KqjSdPiyTyXjhhRd44QXb701uFXln4X/v1Vfvnb8OZj0PbdwR0BKSJPHjjz9SUFDQ7iRSVVXF7t27USgUJCcn4+HhYdbXyeVywsLCxKZmgiCYtx/J9OnT+fbbb20dS+chSXBwE7x2l35R4TPfwZw/2iWJGNaIFBQUtGuNCOgrAaekpKDVapkzZ85tJzXcytnZmSFDhrTr+oIgdA1mjZGEhoayadMmTp8+TWxsbLN3rb/61a9sElyHVH8Dtv4avv8chsyCX/0bvAPscmmNRsOJEyeoqqpqd0ukoaGB3bt309DQQHJyMn5+fmZ/rVwuZ9SoUZ1uYF0QBNsw606wY8cOfHx8uHjxIhcvXjR5TSaTdZ9Ekvu9foFheS7c8yrM+INdWiGgv/Eb1oi0N4mo1Wr27NlDVVUVs2fPbjZ77nbkcjnh4eGdf7GoIAhWY1Yi2b9/v63j6NgkCb57G7avBu9AWHUQoppvPWwr1dXVHDt2DI1G066FhqDfYvebb76hrKyMGTNmWFy+xNnZmcGDB7crBkEQuhbRN3EntRXw70fhhy9g6Fx4+APwst+78fLyck6cONHu8RDQL97ct28f165dY+rUqURGRlr09XK5nNGjR7e47bIgCN2XWYnkr3/9621ff+mll6wSTIeTfRL+9xdQUQCLX4dpz4Ady34UFxdz9uxZqyQRSZI4cOAAeXl5TJw40eK9RBQKBeHh4RaNpQiC0D2YlUhuHRdpbGzk6tWraLXartnNIUmw703Y8Zy+Uu8f0qDfeLuGkJ2dTWZmZrvHQ0CfRI4cOcLly5cZM2ZMm2ZbOTs7d+pVvIIg2I5ZiWTr1q3NnlOpVPzxj38kLi7O6kE5VG05fPAwpO+EEQvgwX+Bp/0WRUqSRGZmJrm5uVZJIgCnT58mIyODYcOGMWLECIu/XnRpCYJwO22ecuTq6spjjz3Ge++9Z814HOvKMfjLCPjpa/jFRvjtDrsmEZ1Ox5kzZ8jNzbVKdxbAuXPnOHv2LAMHDmTcuHEWV+SVy+VERkZ2/AoDgiA4TLsG28vLy6mrq7vzgR2dTgd7N8CXfwS/cHj2CPQZY9cQGhsbOXHiBDdu3LBaSyQzM5MTJ07Qr18/Jk2a1Kay7q6urm3aXlcQhO7DrESyZcsWk8eSJFFaWsrOnTs7534hTdWUwZaH4MfdMGoRLHsfPOy7r7hKpeLo0aPU19dbLYlcuXKFtLQ0wsPDmTp1qtnl4JsSXVqCIJijTWMkcrkcPz8/Fi5c2OK+653G5cPwv/dBTSnc9zYkPG7XWVmgXxx46NAh1Gp1u9eIGOTl5fHdd98RHBzM9OnT25QI5HI5ffv2pUcP+yZVQRA6n+65IFGng29eg//+H+jVB547BhGj7BqCRqMhLy+PgoICqyUQgGvXrrF371569uzJrFmz2lzGxM3NjZiYGKvFJQhC12XWXcbwbtnV1dXkeZVKhUwm61wVYKtKYMuDkPENxP0CHtgM7uYXK2yv+vp6rly5Qn5+PtDyzpFtVVZWxtdff42Xlxdz5sxp8/+LoUurLd1hgiB0P2YlkpUrVzJ27NhmNbW2bdvGyZMneffdd20SnNVdOgjv/1I/xXfpezB5hd26siorK8nKyqK0tBRJkqyaQAzn3717N66uriQnJ+Pu7t6m8ygUCvr27Yuvr69V4xMEoesy6y3nmTNnmDixeW2piRMncvbsWasHZXU6LaT8Bd5IBDdveP4ETPmNzZOIJEkUFxdz6NAhjh07hlKpRKfTWT2J1NTUkJKSgkwmY86cOXh5ebX5XG5ubgwYMMCK0QmC0NWZ1SJpaGhoccBWLpdTW1tr9aCsqkoJ/1wKF1Jh7FJYukmfTGxIq9WSn59PVlYWjY2NVlsT0pK6ujpSUlLQaDTMmzevXYPjoktLEIS2MCuRxMTEkJKSwlNPPWXy/M6dOy2u2WRXmanwr6X67XCXvQ8TH7FpK6ShoYHs7GxycnIAbJpAQD9GtWfPHmpra5kzZ067SrsrFAr69+9v0eZWgiAIYGYiefzxx3niiSfIzc1l/Hh9zanjx4/z9ddf8/bbb9s0wDbRaWHXWtj9FwgeCL/fB2GxNrtcVVUVly9fpri4WH95K60FuR2NRsPXX39NRUUFM2fOJDg4uF3nc3d3JyoqykrRCYLQnZiVSBISEti0aRObNm1i3bp1AAwaNIh333232R7sDldZpO/KunQA7noIfvkOuHpa/TKSJFFWVsalS5e4ceOGTQbQW6PVatm7dy8lJSUkJSURHh7ervOJLi1BENrD7EUGU6ZM6fir2DO+hX89AKpa/b4hdz1k9UtotVqKioq4dOkSarXa5t1Xt9LpdOzfv5+CggKmTJlCv3792nU+hUJBVFQU3t62HTcSBKHrMiuRnDx5EoCxY8c2e14mkzFmjH3rUjXlpvwRnl8A4SPg/E4IGQzPfAah1i1vr1arycnJ4erVq0iSZPcEAvpWUFpaGtnZ2YwfP94qNbA8PDxEl5YgCO1iVl/G+vXrqaqqavZ8TU0N69evN/tihw4dYubMmUyfPp3Nmzc3e33Hjh2MHz+e+fPnM3/+fD7//HPzTlyRB+n/hegp8MJJqyaR2tpazp07x759+7h8+bLNZ2G1RpIkjh8/zsWLFxk1ahTDhg1r9zkNXVptKeYoCIJgYFaLJDs7u8VyGQMGDCA7O9usC2m1WtauXcuWLVsICgpi8eLFJCYmNns3PGfOHNasWWPWOZspywEXj7Z9bROSJFFRUcGlS5coLy+36/hHa86ePcv58+cZMmQIo0ePbvf5FAoF0dHR7VpzIgiCAGYmEldXV0pKSpoN6hYXF+Ps7GzWhdLT04mMjDSeIzk5mdTUVOt2q5TntevLdTodxcXFXLp0ifr6eoe0PFry448/cvr0aaKjo5kwYYJVWhCenp7079/fCtEJgtDdmZVIJk2axIYNG9i0aZOxdEZlZSVvvvkmkyZNMutCSqXSZIpqUFAQ6enpzY779ttvOXXqFH379uWFF14gJCTErPMDqL2DuZKZafbxBjqdjhs3blBZWdkhWh9NXbp0iaNHj9KnTx/i4+OtkkRkMhm+vr5cuHCh3edqaGggsw0/846iM8ffmWMHEX9XYlYiee6553jggQdITEw0dnFdvHgRPz8/3njjDbMu1NLN+dab4tSpU5k7dy4uLi5s27aN5557jn//+99mnR8XD1yW/F+L9hW/tYCiPdZ/WCInJ4eDBw8SGhpKYmKiVabnKhQKYmJi2j3byyAzM7NT7+XemePvzLGDiN/RrJkEzUokgYGBfPXVV+zcuZPMzEwkSeKee+5h3rx5nDlzhqCgoDueIzg42LhgD/QtlMDAQJNjmm7neu+99/L666+b9134RcKCdTBuqVmH27qAojUUFhayb98+AgICmDFjRpvLwTclk8nw8vKib9++VohQEARBz+y7k7u7O/feey+gTwLbt28nOTmZoqIiszLb0KFDycnJIT8/n6CgIFJSUtiwYYPJMSUlJcbksn//frP68BuCYmF9zh2PkyQJpVLJpUuXqK2t7TDjHy0pKSnhm2++wdfXl1mzZlmtTL9cLmfUqFFilpYgCFZldiLRarXs37+fzz//nCNHjhATE8N9993HrFmzzLuQkxNr1qxh+fLlaLVaFi1aRHR0NBs3biQ2NpakpCS2bt3K/v37USgU+Pr6WjS1+HZx26uAojWUl5ezZ88e3N3dSU5Oxs3NzSrnVSgUDBo0CE9P66/yFwShe7tjIrl69Sqff/45X331Fe7u7sydO5fDhw/zP//zPxbPuIqPj29WUmXlypXGz1etWsWqVassOmdrVCoVV69etVsBRWuoqqoiJSUFhUJBcnIyHh7tn8oM+i4tb29vIiMjrXI+QRCEpm6bSO6//36ysrKYOXMmb731lnFl+/vvv2+X4NqiurqarKwsuxZQtIba2lpSUlLQ6XTcfffdVq3CK7q0BEGwpdsmkh9++IH777+fe++9t0NvduTIAorW0NDQwO7du2loaCA5Odlk0kF7KRQKBg8ebLXWjSAIwq1um0i2b9/OZ599xtKlSwkLC2PBggUkJyfbKzazaLVavvvuO1QqVafovjLIysri1KlT1NTUGKf1zpkzp9lMtvaQyWT4+PgQERFhtXMKgiDc6rYLEwYNGsSf/vQnDh8+zMMPP0xqaioJCQnodDoOHDjAjRs37BVnqxobG6mrq+t0SSQtLY2amhrgZvebtXebFF1agiDYg1kr3FxdXVmwYAFbt25l9+7dPProo3zwwQdMnDiR5cuX2zrGLufUqVM0NjaaPKfT6Th16pTVrqFQKBgyZAju7u5WO6cgCEJLLF4qHRkZyerVqzl48CBvvfWW2bW2hJsMLRFzn7eUoQRKeze8EgRBMEebl0srFAqmTZvGtGnTrBlPl6bT6fjhhx9afd1alXjlcjkjR44UXVqCINhF++tuCGapq6vju+++o7CwkMDAQK5fv24yruPk5GSVDcIUCgWxsbGiS0sQBLsRicQO8vPzOXDgAGq1milTphATE8Ply5eNs7a8vLwYM2YM0dHR7bqOTCajZ8+e9O7d20qRC4Ig3JlIJDZkGEA/d+4cPXv2JDk5GT8/PwCio6PbnThuJZfLGTFihOjSEgTBrkQisZHq6mr279+PUqlk4MCBTJgwwSoVfFujUCgYOnSo1WpzCYIgmEskEhvIzs7m4MGDSJJEUlKSzXcilMlk+Pn5ERYWZtPrCIIgtEQkEitqbGzk+PHjZGRkEBAQQFJSklVrZrVGoVCILi1BEBxGJBIrqaysJDU1levXrzN06FDGjh2LQqGw+XUVCgXDhg3D1dXV5tcSBEFoiUgkVnDp0iUOHz6MQqFg5syZdivXLpPJ6NWrF6GhoXa5niAIQktEImkHjUbDkSNHuHTpEiEhIUydOtVqiwrNYejSEgRBcCSRSNro+vXr7Nu3jxs3bjBq1ChGjRplrOJrDwqFguHDh1ttG15BEIS2EonEQpIkkZmZybFjx3B1dWXu3Ll271qSy+UEBAQQEhJi1+sKgiC0RCQSC6hUKg4dOkR2dja9e/dm6tSpDilFYhhgFwRB6AhEIjFTSUkJqamp1NTUMG7cOIYNG+aQ6baGcRHRpSUIQkchEskdSJJEeno6J0+exMvLi7vvvpugoCCHxCKXywkMDHTY9QVBEFoiEslt1NfXc+DAAfLz8+nbty9Tpkxx6HoN0aUlCEJHZL9pRsChQ4eYOXMm06dPZ/Pmza0e9/XXXxMTE8P58+ftGJ2poqIitm/fTlFREZMmTWLatGkOTSKGPUbERmKCIHQ0dmuRaLVa1q5dy5YtWwgKCmLx4sUkJiYSFRVlclxNTQ1bt25l+PDh9grNhE6n48yZM5w5cwZfX19mz55Nr169HBKLgVwuJzg4mMDAQIfGIQiC0BK7tUjS09OJjIwkPDwcFxcXkpOTSU1NbXbcxo0bWb58uUPe/dfU1JCSksKZM2cYMGAACxcudHgSAf2mV0OHDnV0GIIgCC2yW4tEqVQSHBxsfBwUFER6errJMRkZGRQXFzN16lT+9a9/2Ss0AHJzczlw4ABarZaEhAQGDBhg1+u3xlAG5fLly44OpUUNDQ1kZmY6Oow268zxd+bYQcTfldgtkUiS1Oy5ptNndTod69evZ/369fYKCdB3uZ08eZLz58/Tq1cvkpKS6NGjh11jaI1cLic0NLRDl0HJzMxk0KBBjg6jzTpz/J05dhDxO5o1k6DdEklwcDDFxcXGx0ql0qTPv7a2lkuXLvHggw8CUFpaymOPPcamTZts1q1TVVVFamoqpaWlDB48mPHjx9t08ylLOTk5ERsb6+gwBEEQbstud82hQ4eSk5NDfn4+QUFBpKSksGHDBuPr3t7enDhxwvh42bJlPPvsszZLIleuXOHQoUPIZDKmT59O3759bXKdtpLL5YwaNapDJTZBEISW2O0u5eTkxJo1a1i+fDlarZZFixYRHR3Nxo0biY2NJSkpyS5xNDY2cvToUS5cuEBgYCBJSUl4e3vb5drmksvlhIWF4e/v7+hQBEEQ7siub3fj4+OJj483eW7lypUtHrt161arX7+iooJ9+/ZRUVHB8OHDGTNmjF0r9prL2dmZIUOGODoMQRAEs3SLfhNJkrh48SJHjhzB2dmZ2bNnEx4e7uiwWiS6tARB6Gy6/N1KrVZz+PBhLl++TFhYGFOnTsXDw8PRYbVILpcTHh7eIdauCIIgmKtLJ5LS0lJSU1Oprq4mLi6OESNGdMiuLANnZ2cGDx7s6DCEDq6qqoqSkhI0Gk2nXscg4rctZ2dnAgMD8fHxsfm1umQikSSJH3/8kRMnTuDu7s7cuXM7/CZQcrmc0aNHo1AoHB2K0IFVVVWhVCoJCwsD6LCta3PU19c7ZD8fa+nI8UuSRH19PYWFhQA2TyZdLpE0NDRw8OBBcnNziYiIICEhATc3N0eHdVsKhYLw8HD8/PwcHYrQwZWUlBAWFoaHhwf19fWODkfooGQyGR4eHoSFhVFUVCQSiSWKi4tJTU2lvr6eu+66i9jYWIdsPmUpZ2fnTr1CVrAfjUbTYd8FCx2Pu7s7Go3G5tfp9ImktLSUTz75hMDAQHJycvD29mb+/PkEBAQ4OjSzyGQy0aUlWKQzvDkSOgZ7/a50+kQC+vIq2dnZBAYGMmfOnE6xDa1MJkMul+Pv70/Pnj0dHY4gCEKbddwpTG1QW1vbKZKIQqHA19eXhIQEvLy8HB2OIHRY+fn5jBw50vj4l7/8JTt27ADgiy++YPny5Y4KzepefPFF3nvvPUeH0SZdLpF0dHK5nAEDBjBx4kTR1y10OYmJiQwbNoyRI0caP5RKZZvPFx4eztmzZ1t87Z577uH9998H9KWPYmJiKCgoaNN1jh49SmJiYpvjtNTnn3/OsmXLTJ5bt24dv/3tb+0WgzV1ia4tg4787l4ul+Pm5kZcXJxd5nULgqO89957TJgwwdFhCHbUZVokTk5OjBkzxtFhtMiwYj0+Pl4kEcFxTnwML/SB38j1/5742G6X1ul0PPXUU0ycOJG4uDiWLVvG1atXja/X19fzyiuvkJCQwOjRo1m6dClqtZrc3FxiYmJaPGfTd/UPPPAAAHPnzmXkyJF88803zJo1i4MHDxqPV6vVjBkzhkuXLlkUe1VVFatXr2b8+PEkJibyj3/8w2R/pU8//ZRZs2YxcuRI5s6dy4ULFwB49913SUpKYuTIkSY7wl68eJG1a9dy+vRpRo4cybhx4wBYvXo1f//7343n3bZtG9OnT2fcuHE8/vjjlJSUADdbX59++inTp09nzJgx/PWvf7Xoe7K2LtEi8fLyYsyYMURHRzs6FBNyuRyFQsHo0aNFJV/BsU58DB+tAHWd/nF5rv4xwLildgkhISGBV155BWdnZ1577TVeeuklvvjiCwDWr19Pbm4un332Gb169eLs2bMWzTj66KOPGDJkCLt27aJ3794AZGdn89///tdYKPa7774jLCzM4t1P//znP6NSqYwFXx955BECAwOZNWsWu3btYtOmTbzzzjsMGTKEnJwc47q1Pn36sG3bNvz9/UlJSWH16tXs3buXmJgY1qxZw3//+99Wi9MePnyYv/3tb/zrX/+iX79+rF+/ntWrV/Pvf//beMzBgwfZsWMHN27cYOHChSQmJjqsJdjpWyQBAQHcf//9HS6JKBQK/P39mTp1qkgiguN9+eLNJGKgrtM/b2VPPPEEcXFxxMXF8fjjjwP6N1ULFy7Ey8sLV1dXnnzySTIyMqirq0Or1bJjxw5eeuklAgMDUSgUxMXF4ezs3K445s+fz3fffWccO/3qq6+YP3++RefQaDTs2bOHVatW4eXlRXh4OA8//DBfffUVoG8VrVixwrhmrW/fvsYqGnPmzCEwMBC5XM68efMICwvjxx9/NOu6O3fuZMmSJQwaNAhXV1dWr17NqVOnTDYH/M1vfoO3tze9e/dm7NixDi3X0iVaJB2JYVpvbGwsvXv3FnP+hY6hPM+y59vhnXfeafbOWKvVsmHDBr755hsqKiqMNe8qKipwcnJCo9EQERFh1ThCQkIYNmwYe/fuJSEhgSNHjvDnP//ZonOUl5ej1WqNJWkAQkNDjRMIiouLW60kvmPHDj744AOKiooAqKuro6KiwqzrlpSUmMxW8/LywsfHB6VSaXxj2vQNqpubG3V1dc3OYy8ikViRQqHA09OTuLi4Tl0DSeiC/CL03VktPW8HX375JYcOHeLDDz8kLCyMiooK7rrrLiRJwt/fH2dnZ/Ly8trcs9DaG7YFCxawc+dO6urqiIuLs3ihsp+fHwqFgsLCQuMuqkVFRQQFBQH6LcTz8/ObfV1+fj4vv/wyH3zwAcOHD0ehUDB37lyTsZXbCQwMNCYggJqaGqqqqozX7Wg6fddWRyGXy+nfvz+TJ08WSUToeBasA5dbfi9dPPTP24FhjVePHj2or6/nrbfeMr6mUChYuHAhr7zyCqWlpWi1Wr7//nuLSnsoFAp69OjR7KY+Y8YMzp07x8cff8yCBQtuew5JklCpVCYfTk5OzJw5kzfffJPa2lry8/P58MMPufvuuwFYsmQJ77//PhkZGUiSRE5ODteuXaO2thaZTIafnx+SJPH555+bTC7w9/enuLi41e8xOTmZ//znP1y4cAG1Ws0bb7xBXFwcwcHBZv9M7EkkknYyTOudMGECAwYMEF1ZNK4cBQAAE0tJREFUQsc0bik8sBn8IgGZ/t8HNtttoH3hwoUEBgYyefJk48yqpl544QX69+/PwoULGTt2LG+++abZ794NnnrqKVavXk1cXBzffvstoK+OPG3aNIqKipg2bdptv76oqIhhw4aZfBQWFvKnP/0JZ2dnkpKSWLZsGQsWLDAmpblz57J8+XKefvppRo0axe9+9ztu3LjBwIEDWbZsGUuWLGHSpElcvXqVYcOGGa81ceJEIiMjmThxIhMnTmwWy5QpU3jiiSd48sknmTRpEkVFRbz++usW/TzsSSZZ+r/VwRw/fpyysjKHXNuwt3psbGyba2VlZmZ26oKNIn77ahpvRy5jbg57xb9x40auXbvGq6++atXzdpaff2u/49b83RdjJG0gk8lQKBSMHDmyw/ZZCoKgH8zfsWMHb775pqND6dJE15aFFAoFvXr1YurUqSKJCEIH9sknnzB16lSSkpIYNWqUo8Pp0kSLxAIKhYLBgwcTEREhxkIEoYO7//77uf/++x0dRrdg1xbJoUOHmDlzJtOnT2fz5s3NXt+2bRvz5s1j/vz5/PKXv+Ty5cv2DK9VCoUCLy8vJk+eTGRkpEgigiAITditRaLValm7di1btmwhKCiIxYsXk5iYSFRUlPGYefPm8ctf/hKA1NRU1q9fzz//+U97hdgiuVxO3759GTBggHERlSAIgnCT3RJJeno6kZGRxlWghiJmTRNJ0+q99fX1Dn3nL5fLcXZ2Ji4uTmw8JQiCcBt2SyRKpdJkMU1QUBDp6enNjvv444/ZsmULGo2GDz/80F7hmZDJZHh4eBAQEEBxcbFJfRtra2hocGiNnPYS8duXRqOhvr4e0C+gM3zeGYn47UOj0dj8d9xuiaSl5SottTiWLl3K0qVL2blzJ5s2beK1116zR3jGeBQKBcOHDzcWXrO1zraO4VYifvvKzMw0rl3oLOsYWiPitw9nZ+dW15FYi906/YODg03e2SuVSgIDA1s9Pjk5mX379tkjNOBmiYWEhAS7JRFBENrmxIkTTJkyxdFhCD+zWyIZOnQoOTk55Ofno1arSUlJaba1ZU5OjvHzAwcOEBkZaZfY5HI5MTExTJgwwbiXgCAIlmu61e7EiRN5/vnnO8UW2EL72K1ry8nJiTVr1rB8+XK0Wi2LFi0iOjqajRs3EhsbS1JSEh999BHHjh3DyckJHx8fm3drKRQK4/a33t7eNr2WIHQXhq12S0tLefTRR9m8eTNPP/20o8MSbMiuCxLj4+ONu5UZrFy50vj5Sy+9ZLdY5HI5ERERDBo0SEzrFbqFAwcOsHXrVsrKyvD392fZsmUkJCTY7HoBAQFMmjTJ2Bd/4MAB3nrrLfLy8vD29mb+/Pk888wzABQUFJCUlMSrr77Kxo0bqa+v5+GHH+axxx4D9JMiXn75ZVJTUwkICGDhwoUm17py5Qovv/wymZmZBAUF8cwzz5CUlATA888/j5ubGwUFBXz//ffExMTw97//nc2bN/Pll1/Sq1cv3njjDQYPHmyzn0VX1+3uoHK5HBcXF8aNG8eQIUNEEhG6hQMHDvDOO+9QWlqKJEmUlpbyzjvvcODAAZtds7i4mLS0NOOGVe7u7rz22mucPn2af/zjH3z++efNxkG///57vv76az788EPeeecdrly5AsDbb79NXl4ee/fu5Z///Cdffvml8Ws0Gg2//e1vmThxIkePHuWll15i9erVJmXb9+zZw+9//3uOHz+Oi4sLv/jFLxgyZAjHjx9n5syZrF+/3mY/h+6gW91FFQoFgYGBTJ06lV69ejk6HEGwm61bt6JSqUyeU6lUre4Z3h5PPPEEI0eOJD4+Hj8/P5566ikAxo0bR0xMDHK5nIEDBzJr1ixOnjxp8rVPPvkkbm5uDBw4kIEDB3LhwgVAnwh++9vf0qNHD0JCQli2bJnxa86dO0ddXR0rVqzAxcWFu+66i6lTp5KSkmI8Zvr06cTGxuLq6sr06dNxdXVlwYIFKBQK5syZ06mmgHdE3aLWlmH726FDh9K7d29HhyMIdtfaVgu22ILBsNXuyZMnWbVqFRUVFfj4+HDu3Dlef/11srKy0Gg0qNVqZs2aZfK1TbePdXd3N24fW1JSYjKbMjQ01Ph5SUkJwcHBJr0LTbfDBUzeOLq5uXWobWq7gi7fIlEoFPj6+pKQkCCSiNBtNb1xmvO8NYwdO5aFCxcaJ82sWrWKpKQkDh48yPfff8/ixYvN3rwqICCAa9euGR83/TwwMJDi4mJ0Op3J66I6t/106UQil8uJjo5m4sSJnWLhkCDYyrJly3B1dTV5ztXV1aSLyBYeeughjh49SmZmJrW1tfj6+uLq6kp6ejp79uwx+zyzZ8/+/+3df1DT9R8H8OdnAt5Chzd+DAlOj3LsmoMN5l0ckDlgaUDQiqzTVCIzIy1EAvUuzbwU/6jsWIp1Zl53hZcx/si6NPEcXUEq5GFoaiVTZCIMjEbcJu/vH37ZOfkhY4PtI6/H3e7Ye5999nzvXvDi8xl83ti7dy+6u7vR1tbmdEouNjYWQqEQn376KWw2G+rq6nDs2DE8+eST4zElMoT7spEIBAIIhUIkJyfj4Ycfpqv1kknv8ccfR0FBAUJDQ8FxHEJDQ1FQUDCuf7UFAGKxGNnZ2fj444+xefNmfPTRR1CpVNDr9dBqtaPez+uvv46IiAikpqbipZdeQnZ2tuOxgIAA7N69GydOnMCjjz6Kd955Bzt37sRDDz00HlMiQ7jvltoVCASIjIyEXC4f8/K3E4lvl+i4G+WfWLTUru/gS35aatcFHMfBz88P8fHxCA0N9XYcQgiZNO6LRiIQCBAcHAyVSoWAgABvxyGEkEmF942E4zjMnTsXUVFR9FkIIYR4Ae8/bA8ICKA11MmkwvOPNckEmqha4X0jIWQy8ff358ViSsQ39Pb2wt/ff9xfhxo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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.plot(accs_apricot, color='#FF6600')\n", "plt.plot(numpy.mean(accs_random, axis=1), color='0.3')\n", "\n", "plt.fill_between(range(len(ns)), numpy.min(accs_random, axis=1), numpy.max(accs_random, axis=1), color='0.7')\n", "\n", "plt.scatter(range(len(ns)), accs_apricot, color='#FF6600', label=\"Facility Location\")\n", "plt.scatter(range(len(ns)), numpy.mean(accs_random, axis=1), color='0.3', label=\"Random\")\n", "\n", "plt.xticks(range(len(ns)), ns)\n", "plt.xlim(0, len(ns)-1)\n", "plt.ylabel(\"Accuracy\", fontsize=14)\n", "plt.xlabel(\"# Examples\", fontsize=14)\n", "plt.legend(fontsize=12, loc=4)\n", "\n", "plt.savefig(\"digits-ml.pdf\")\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.4" } }, "nbformat": 4, "nbformat_minor": 2 } jmschrei-apricot-bf86e69/tutorials/Example B. Airport Selection.ipynb000066400000000000000000012020361414554015600256340ustar00rootroot00000000000000{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "## Selecting airport hubs for a new airline\n", "\n", "The problem of facility location is common to industries that have physical locations (\"facilities\") and need to identify the best new location as their business grows. There are numerous examples of this, ranging from chain stores and restaurants trying to open new locations, to placing public electric car charging stations in cities and along well-traveled routes. A common thread among these examples is that, generally, many locations have already been picked out and cannot be moved. \n", "\n", "A simple strategy for placing locations would be to make selections based on their total (or expected) number of served people. However, depending on how a location is defined, this approach might leave people in smaller cities or lower density areas completely unserved. For instance, if locations were defined as small contiguous regions and choices made based on their population, some large cities are likely to get multiple locations. Put another way, there may be redundancy among the people who are served.\n", "\n", "A more complex strategy is to use a clustering method applied to data where each potential location is encoded as an example weighted by the number of people at the location. Using k-medoids with k being the number of locations that would be open guarantees that exact locations are picked and can try to minimize the redundancy among those served. However, clustering approaches have the significant downside that, when placing a new facility, one would have to re-run the clustering algorithm with a larger number of clusters. Given that it is likely impossible to move currently existing facilities in these locations, this approach does not seem feasible.\n", "\n", "In contrast to traditional clustering approaches, submodular optimization provides an appealing framework for this task. Other notebooks in this repository go more in depth on the details of submodular optimization, but essentially, one can use a greedy approach that iteratives selects examples which minimize redundancy with those that have already been chosen. This property is convenient when you can't move previous facilities.\n", "\n", "Let's say you're a new airline and you want to know where to put your hubs. You might want these hubs to be at locations that service the most routes so that you can minimize the distance an airplane has to fly to return to a hub. Initially, you might suspect that putting these hubs at the biggest cities is likely the best choice. However, since this notebook is being written as part of a tutorial on submodular optimization, you also suspect that submodular optimization might yield a better selection." ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Populating the interactive namespace from numpy and matplotlib\n" ] } ], "source": [ "%pylab inline\n", "numpy.random.seed(0)\n", "\n", "import pandas\n", "import seaborn; seaborn.set_style('whitegrid')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Loading the Data" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We will be using two tables of data from openflights.org for this example. The first table contains information about airports around the world and the second table contains information about recorded routes. A limitation of this data is that it was updated most recently in 2014.\n", "\n", "Let's first load up the airport table. Because we are focusing on the United States, we will filter out the airports from other parts of the world. This table includes a lot of information about each airport, but the only things we really need are the ID and the name, for human interpretability." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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Airport IDNameCityCountryIATAICAOLatitudeLongitudeAltitudeTimezoneDSTTzTypeSource
32123411Barter Island LRRS AirportBarter IslandUnited StatesBTIPABA70.134003-143.5820012-9AAmerica/AnchorageairportOurAirports
32133412Wainwright Air StationFort WainwrightUnited States\\NPAWT70.613403-159.86000135-9AAmerica/AnchorageairportOurAirports
32143413Cape Lisburne LRRS AirportCape LisburneUnited StatesLURPALU68.875099-166.11000116-9AAmerica/AnchorageairportOurAirports
32153414Point Lay LRRS AirportPoint LayUnited StatesPIZPPIZ69.732903-163.00500522-9AAmerica/AnchorageairportOurAirports
32163415Hilo International AirportHiloUnited StatesITOPHTO19.721399-155.04800438-10NPacific/HonoluluairportOurAirports
\n", "
" ], "text/plain": [ " Airport ID Name City Country \\\n", "3212 3411 Barter Island LRRS Airport Barter Island United States \n", "3213 3412 Wainwright Air Station Fort Wainwright United States \n", "3214 3413 Cape Lisburne LRRS Airport Cape Lisburne United States \n", "3215 3414 Point Lay LRRS Airport Point Lay United States \n", "3216 3415 Hilo International Airport Hilo United States \n", "\n", " IATA ICAO Latitude Longitude Altitude Timezone DST \\\n", "3212 BTI PABA 70.134003 -143.582001 2 -9 A \n", "3213 \\N PAWT 70.613403 -159.860001 35 -9 A \n", "3214 LUR PALU 68.875099 -166.110001 16 -9 A \n", "3215 PIZ PPIZ 69.732903 -163.005005 22 -9 A \n", "3216 ITO PHTO 19.721399 -155.048004 38 -10 N \n", "\n", " Tz Type Source \n", "3212 America/Anchorage airport OurAirports \n", "3213 America/Anchorage airport OurAirports \n", "3214 America/Anchorage airport OurAirports \n", "3215 America/Anchorage airport OurAirports \n", "3216 Pacific/Honolulu airport OurAirports " ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "names = 'Airport ID', 'Name', 'City', 'Country', 'IATA', 'ICAO', 'Latitude', 'Longitude', 'Altitude', 'Timezone', 'DST', 'Tz', 'Type', 'Source'\n", "airports = pandas.read_csv(\"airports.csv\", header=None, names=names)\n", "airports = airports[airports['Country'] == 'United States']\n", "airports.head()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Next, let's load up the routes. These routes include a source airport, which is where the flight began, and a destination airport, which is where the plane was flying to, as well as some other information that we can ignore." ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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AirlineAirline IDSourceSource IDDestinationDestination IDCodeshareStopsEquipment
1872P897GES2402MNL2397Y0320
1972P897MNL2397GES2402Y0320
10594M3201DFW3670EZE3988Y0777
10604M3201EZE3988DFW3670Y0777
10614M3201EZE3988JFK3797Y0777
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" ], "text/plain": [ " Airline Airline ID Source Source ID Destination Destination ID \\\n", "187 2P 897 GES 2402 MNL 2397 \n", "197 2P 897 MNL 2397 GES 2402 \n", "1059 4M 3201 DFW 3670 EZE 3988 \n", "1060 4M 3201 EZE 3988 DFW 3670 \n", "1061 4M 3201 EZE 3988 JFK 3797 \n", "\n", " Codeshare Stops Equipment \n", "187 Y 0 320 \n", "197 Y 0 320 \n", "1059 Y 0 777 \n", "1060 Y 0 777 \n", "1061 Y 0 777 " ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "names = 'Airline', 'Airline ID', 'Source ', 'Source ID', 'Destination', 'Destination ID', 'Codeshare', 'Stops', 'Equipment'\n", "routes = pandas.read_csv(\"routes.csv\", header=None, names=names)\n", "routes = routes.replace(\"\\\\N\", numpy.nan).dropna()\n", "routes['Source ID'] = routes['Source ID'].astype(int)\n", "routes['Destination ID'] = routes['Destination ID'].astype(int)\n", "routes = routes.dropna()\n", "routes.head()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Airport Visualization" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can start off by visualizing the location of each airport in our data set. There are a few airports that are in other countries that we can safely ignore because they are unlikely to be commercial." ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(14, 7))\n", "plt.scatter(airports['Longitude'], airports['Latitude'], s=2, color='c')\n", "plt.xlim(-200, -50)\n", "plt.ylim(10, 80)\n", "\n", "plt.axis('off')\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "That shape looks familiar.\n", "\n", "Next, we can perform two table joins in order to get the latitude and longitude of the sorce and destination airports for each flight. This will let us visualize the routes." ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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Source IDDestination IDLatitude_sourceLongitude_sourceLatitude_destinationLongitude_destination
03670371832.896801-97.03800232.411301-99.681900
13670370032.896801-97.03800231.611300-97.230499
23670385232.896801-97.03800231.327400-92.549797
33682385233.636700-84.42810131.327400-92.549797
43550385229.984400-95.34140031.327400-92.549797
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" ], "text/plain": [ " Source ID Destination ID Latitude_source Longitude_source \\\n", "0 3670 3718 32.896801 -97.038002 \n", "1 3670 3700 32.896801 -97.038002 \n", "2 3670 3852 32.896801 -97.038002 \n", "3 3682 3852 33.636700 -84.428101 \n", "4 3550 3852 29.984400 -95.341400 \n", "\n", " Latitude_destination Longitude_destination \n", "0 32.411301 -99.681900 \n", "1 31.611300 -97.230499 \n", "2 31.327400 -92.549797 \n", "3 31.327400 -92.549797 \n", "4 31.327400 -92.549797 " ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "routes_reduced = routes[['Source ID', 'Destination ID']].drop_duplicates()\n", "airports_reduced = airports[['Airport ID', 'Latitude', 'Longitude']]\n", "\n", "routes_merged = pandas.merge(routes_reduced, airports_reduced, left_on='Source ID', right_on='Airport ID')\n", "routes_merged = pandas.merge(routes_merged, airports_reduced, left_on='Destination ID', right_on='Airport ID', suffixes=('_source', '_destination'))\n", "routes_merged = routes_merged.drop(['Airport ID_destination', 'Airport ID_source'], axis=1)\n", "routes_merged.head()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now let's add the routes to the plot as thin lines." ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(14, 7))\n", "plt.scatter(airports['Longitude'], airports['Latitude'], s=2, color='c')\n", "for i, (_, _, la_x, lo_x, la_y, lo_y) in routes_merged.iterrows():\n", " plt.plot([lo_x, lo_y], [la_x, la_y], color='k', linewidth=0.15)\n", " \n", "plt.xlim(-200, -50)\n", "plt.ylim(10, 80)\n", "\n", "plt.axis('off')\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can already see some hubs forming. It looks like Atlanta is a clear hub near the east coast, Chicago is a clear hub north of it, Houston is a hub in the south, and Los Angeles is a clear hub on the west coast.\n", "\n", "### Airport selection using the most routes\n", "\n", "As a baseline, let's see how many routes are covered by those airports that are connected to the most routes. In this case, we're saying that an airport covers a route if it is either the source or the destination of the routes in the data set. We can do this by creating a matrix where each row and column are airports and a 1 indicates that there is a route connected the two airports. This will result in a square symmetric matrix." ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "3404.0" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "n = len(airports)\n", "mapping = {airport: i for i, airport in enumerate(airports['Airport ID'])}\n", "\n", "route_map = numpy.zeros((n, n))\n", "for _, (source, destination) in routes_reduced.iterrows():\n", " if source in mapping and destination in mapping:\n", " x, y = mapping[source], mapping[destination]\n", " route_map[x, y] = 1\n", " route_map[y, x] = 1\n", " \n", "route_map.sum()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Looks like there are 3404 total routes in our data base.\n", "\n", "What are the 6 airports connected to the most routes?" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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Airport IDNameCityCountryIATAICAOLatitudeLongitudeAltitudeTimezoneDSTTzTypeSource# Routes
34823682Hartsfield Jackson Atlanta International AirportAtlantaUnited StatesATLKATL33.636700-84.4281011026-5AAmerica/New_YorkairportOurAirports146.0
36303830Chicago O'Hare International AirportChicagoUnited StatesORDKORD41.978600-87.904800672-6AAmerica/ChicagoairportOurAirports117.0
35513751Denver International AirportDenverUnited StatesDENKDEN39.861698-104.6729975431-7AAmerica/DenverairportOurAirports107.0
36583858Minneapolis-St Paul International/Wold-Chamber...MinneapolisUnited StatesMSPKMSP44.882000-93.221802841-6AAmerica/ChicagoairportOurAirports79.0
34703670Dallas Fort Worth International AirportDallas-Fort WorthUnited StatesDFWKDFW32.896801-97.038002607-6AAmerica/ChicagoairportOurAirports76.0
33503550George Bush Intercontinental Houston AirportHoustonUnited StatesIAHKIAH29.984400-95.34140097-6AAmerica/ChicagoairportOurAirports71.0
\n", "
" ], "text/plain": [ " Airport ID Name \\\n", "3482 3682 Hartsfield Jackson Atlanta International Airport \n", "3630 3830 Chicago O'Hare International Airport \n", "3551 3751 Denver International Airport \n", "3658 3858 Minneapolis-St Paul International/Wold-Chamber... \n", "3470 3670 Dallas Fort Worth International Airport \n", "3350 3550 George Bush Intercontinental Houston Airport \n", "\n", " City Country IATA ICAO Latitude Longitude \\\n", "3482 Atlanta United States ATL KATL 33.636700 -84.428101 \n", "3630 Chicago United States ORD KORD 41.978600 -87.904800 \n", "3551 Denver United States DEN KDEN 39.861698 -104.672997 \n", "3658 Minneapolis United States MSP KMSP 44.882000 -93.221802 \n", "3470 Dallas-Fort Worth United States DFW KDFW 32.896801 -97.038002 \n", "3350 Houston United States IAH KIAH 29.984400 -95.341400 \n", "\n", " Altitude Timezone DST Tz Type Source # Routes \n", "3482 1026 -5 A America/New_York airport OurAirports 146.0 \n", "3630 672 -6 A America/Chicago airport OurAirports 117.0 \n", "3551 5431 -7 A America/Denver airport OurAirports 107.0 \n", "3658 841 -6 A America/Chicago airport OurAirports 79.0 \n", "3470 607 -6 A America/Chicago airport OurAirports 76.0 \n", "3350 97 -6 A America/Chicago airport OurAirports 71.0 " ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "airports_w_routes = airports.copy()\n", "airports_w_routes['# Routes'] = [route_map[mapping[airport]].sum() for airport in airports['Airport ID']]\n", "airports_w_routes.sort_values(\"# Routes\", ascending=False).head(6)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "These airports are fairly expected. Atlanta is the busiest airport in the United States, so it's not surprising that it comes up first. Further, Delta has hubs in Atlanta and Minneapolis-St Paul (among other cities), United has hubs in Chicago, Denver, and Houston. Lastly, Dallas is a hub for American. Thus, all of the top 6 airports here currently serve as hubs for some airline.\n", "\n", "What do these airports look like if we plotted their location as well as all the routes that are connected to them?" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "airports_ = airports_w_routes.sort_values(\"# Routes\", ascending=False).head(6)\n", "airport_idxs = airports_['Airport ID'].values\n", "d = {}\n", "\n", "plt.figure(figsize=(14, 7))\n", "plt.scatter(airports['Longitude'], airports['Latitude'], s=2, color='c')\n", "plt.scatter(airports_['Longitude'], airports_['Latitude'], color='r')\n", "\n", "for i, (sid, did, la_x, lo_x, la_y, lo_y) in routes_merged.iterrows():\n", " if (sid, did) in d:\n", " continue\n", " \n", " if int(sid) in airport_idxs or int(did) in airport_idxs:\n", " d[(sid, did)] = True\n", " plt.plot([lo_x, lo_y], [la_x, la_y], color='r', linewidth=0.15)\n", "\n", "plt.xlim(-200, -50)\n", "plt.ylim(10, 80)\n", "\n", "plt.axis('off')\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The selected airports seem to be concentrated in the mid-west and ~east. This makes sense, because airports in the middle of the country are well suited for supporting flights to either coast. However, you'll notice that these airports do not serve any of the airports in Alaska or lie at all on the west coast.\n", "\n", "Let's evaluate this choice of airports by summing the total number of unique airports that they are connected to. This means that if both Atlanta and Chicago have flights to Seattle that the pair only gets 1 point." ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "256.0" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "most_routes = numpy.array([mapping[airport] for airport in airport_idxs[:6]])\n", "route_map[most_routes].max(axis=0).sum()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "It looks like this set of airport hubs service 256 unique airports across the United States. Can we do better with submodular optimization?" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Airport selection by optimizing a facility location function\n", " \n", "There are many submodular functions that one could optimize for this problem. However, the problem of placing facilities is such a canonical use of submodular optimization that there is a function named the \"facility location\" function. The functiont takes the form\n", "\n", "\\begin{equation}\n", "f(X) = \\sum\\limits_{x} \\max\\limits_{y} \\phi(x, y)\n", "\\end{equation}\n", "where $x$ is an example from your data set, or potential locations in this case, $y$ is a facility that has already been selected, and $\\phi$ is a similarity measure. Potentially similarity is the physical distance between $x$ and $y$.\n", "\n", "Now let's use facility location to select the set of six airports. We can directly use the route map matrix that we made early as a precomputed similarity matrix, with airports having a route between them being \"similar\" and those not having routes connecting them being \"dissimilar.\"" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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Airport IDNameCityCountryIATAICAOLatitudeLongitudeAltitudeTimezoneDSTTzTypeSource# Routes
34823682Hartsfield Jackson Atlanta International AirportAtlantaUnited StatesATLKATL33.636700-84.4281011026-5AAmerica/New_YorkairportOurAirports146.0
35513751Denver International AirportDenverUnited StatesDENKDEN39.861698-104.6729975431-7AAmerica/DenverairportOurAirports107.0
36303830Chicago O'Hare International AirportChicagoUnited StatesORDKORD41.978600-87.904800672-6AAmerica/ChicagoairportOurAirports117.0
34703670Dallas Fort Worth International AirportDallas-Fort WorthUnited StatesDFWKDFW32.896801-97.038002607-6AAmerica/ChicagoairportOurAirports76.0
33993599Bethel AirportBethelUnited StatesBETPABE60.779800-161.837997126-9AAmerica/AnchorageairportOurAirports17.0
33773577Seattle Tacoma International AirportSeattleUnited StatesSEAKSEA47.449001-122.308998433-8AAmerica/Los_AngelesairportOurAirports53.0
\n", "
" ], "text/plain": [ " Airport ID Name \\\n", "3482 3682 Hartsfield Jackson Atlanta International Airport \n", "3551 3751 Denver International Airport \n", "3630 3830 Chicago O'Hare International Airport \n", "3470 3670 Dallas Fort Worth International Airport \n", "3399 3599 Bethel Airport \n", "3377 3577 Seattle Tacoma International Airport \n", "\n", " City Country IATA ICAO Latitude Longitude \\\n", "3482 Atlanta United States ATL KATL 33.636700 -84.428101 \n", "3551 Denver United States DEN KDEN 39.861698 -104.672997 \n", "3630 Chicago United States ORD KORD 41.978600 -87.904800 \n", "3470 Dallas-Fort Worth United States DFW KDFW 32.896801 -97.038002 \n", "3399 Bethel United States BET PABE 60.779800 -161.837997 \n", "3377 Seattle United States SEA KSEA 47.449001 -122.308998 \n", "\n", " Altitude Timezone DST Tz Type Source \\\n", "3482 1026 -5 A America/New_York airport OurAirports \n", "3551 5431 -7 A America/Denver airport OurAirports \n", "3630 672 -6 A America/Chicago airport OurAirports \n", "3470 607 -6 A America/Chicago airport OurAirports \n", "3399 126 -9 A America/Anchorage airport OurAirports \n", "3377 433 -8 A America/Los_Angeles airport OurAirports \n", "\n", " # Routes \n", "3482 146.0 \n", "3551 107.0 \n", "3630 117.0 \n", "3470 76.0 \n", "3399 17.0 \n", "3377 53.0 " ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from apricot import FacilityLocationSelection\n", "\n", "model = FacilityLocationSelection(6, pairwise_func='precomputed')\n", "model.fit(route_map)\n", "\n", "airports_w_routes.iloc[model.ranking].head(6)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Naturally, this approach will select Atlanta first, due in part to its greedy nature which begins by selecting the single most representative example. In this case, the most representative airport is the one connected to the most other airports. \n", "\n", "The two major differences between selecting the airports with the most routes and optimizing a facility location function are differences in ranking, with Denver being selected this time ahead of Chicago, and the inclusion of Bethel and Seattle instead of Houston and Minneapolis-St. Paul. The inclusion of Bethel is interesting because, by itself, it is connected to few routes in comparison to the other selected airports. However, each of these routes is connected to a new airport, whereas other airports are connected to airports that likely alrady have flights to Atlanta, Denver, or Chicago. Finally, this approach selects Seattle to be a hub, which is so obviously correct that it needs no further elaboration here.\n", "\n", "What do these airports look like on the map, along with the routes connected to them?" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "airports_ = airports_w_routes.iloc[model.ranking]\n", "airport_idxs = airports_['Airport ID'].values\n", "d = {}\n", "\n", "plt.figure(figsize=(14, 7))\n", "plt.scatter(airports['Longitude'], airports['Latitude'], s=2, color='c')\n", "plt.scatter(airports_['Longitude'], airports_['Latitude'], color='m')\n", "\n", "for i, (sid, did, la_x, lo_x, la_y, lo_y) in routes_merged.iterrows():\n", " if (sid, did) in d:\n", " continue\n", " \n", " if int(sid) in airport_idxs or int(did) in airport_idxs:\n", " d[(sid, did)] = True\n", " plt.plot([lo_x, lo_y], [la_x, la_y], color='m', linewidth=0.15)\n", "\n", "plt.xlim(-200, -50)\n", "plt.ylim(10, 80)\n", "\n", "plt.axis('off')\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The airports appear to be more evenly spaced across the US. The largest visible difference is more activity on the west coast, particularly the inclusion of more airports from Alaska." ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "270.0" ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ "most_routes = numpy.array([mapping[airport] for airport in airport_idxs[:6]])\n", "route_map[most_routes].max(axis=0).sum()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Looks like we're up to 270 from the 256 before. While it may not seem like much initially, keep in mind that there are many routes that most large airports will be connected to. For instance, Atlanta alone is connected to more than half of the airports that this set of hubs is connected to. \n", "\n", "### Concluding remarks\n", "\n", "The example here is clearly a toy example. In reality, one would want to factor in many more aspects of each location before deciding on hubs, such as the price of setting up a hub at each airport, the population served, the number of flights that they could reasonably fly out of each airport, and international or shipping routes. Further, the number of airports connected to a set of hub might not be the only metric one would use. However, it is a simple example of submodular optimization for placing facilities." ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.4" } }, "nbformat": 4, "nbformat_minor": 2 } jmschrei-apricot-bf86e69/tutorials/Workshop Tutorial 1. Practical Apricot Usage - Answers.ipynb000066400000000000000000053635221414554015600323370ustar00rootroot00000000000000{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Workshop Tutorial 1: Practical Apricot Usage\n", "\n", "Welcome to a tutorial on how to reduce redundancy in massive data sets using submodular optimization! In this tutorial, we will explore submodular optimization at a high level and see how it can be used to select representative subsets of data; these subsets can then be used on their own, such as to create a highlight reel for an album, or to create smaller training sets for machine learning models that achieve similar performance in a fraction of the time. Although submodular optimization is as general-purpose as convex optimization, this tutorial will focus on using basic optimization algorithms on two main functions: a feature-based function, and facility location functions. Finally, this tutorial will focus on practical usage of apricot. Please see the other tutorials for more of the theory behind how these functions work. \n", "\n", "Let's get started!" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Populating the interactive namespace from numpy and matplotlib\n" ] } ], "source": [ "%pylab inline\n", "import seaborn\n", "seaborn.set_style('whitegrid')\n", "\n", "from tqdm import tqdm" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Feature-based Selection\n", "\n", "A simple class of submodular functions are the feature-based ones. At a high level, feature-based functions are those that maximize diversity in the observed feature values themselves. This property means that they work well in settings where each feature represents some quality of the data and higher values mean that the example has more of that value: for instance, when vectorizing text data, each feature might represent a word and the value would be the number of times that the word appears in the document.\n", "\n", "More formally, feature-based functions take the form\n", "\n", "\\begin{equation}\n", "f(X) = \\sum\\limits_{u \\in U} w_{u} \\phi_{u} \\left( \\sum\\limits_{x \\in X} m_{u}(x) \\right)\n", "\\end{equation}\n", "where $x$ is a single example, $X$ is the set of all examples, $u$ is a single feature, $U$ is the set of all features, $w$ is a weight foe each feature, and $\\phi$ is a saturating concave function such as log or sqrt." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 20 newsgroups\n", "\n", "Let's start off with some text data. Below, some code is provided to download a shuffled version of the 20 newsgroups data set, which contains articles and labels for 20 topics. However, as we can see, the downloaded text is not in a convenient featurized form that can be used by machine learning models." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "\"From: jeffp@vetmed.wsu.edu (Jeff Parke)\\nSubject: Re: Lyme vaccine\\nOrganization: College of Veterinary Medicine WSU\\nX-Newsreader: TIN [version 1.1 PL9]\\nLines: 13\\n\\nkathleen richards (kilty@ucrengr) wrote:\\n\\n> If you have time to type it in I'd love to have the reference for that\\n> paper! thanks!\\n\\nExperimental Lyme Disease in Dogs Produces Arthritis and Persistant Infection,\\nThe Journal of Infectious Diseases, March 1993, 167:651-664\\n\\n--\\nJeff Parke \\nalso: jeffp@WSUVM1.bitnet AOL: JeffParke\\nWashington State University College of Veterinary Medicine class of 1994\\nPullman, WA 99164-7012\\n\"" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from sklearn.datasets import fetch_20newsgroups\n", "\n", "train_data = fetch_20newsgroups(subset='train', random_state=0, shuffle=True)\n", "train_data.data[2]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Processing this to get rid of the weird characters like \"\\n\" and converting it to a vectorized form is not really the point of this tutorial, so let's use sklearn's built-in vectorizer to get a clean feature matrix to operate on. Please fill in the below cells." ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(11314, 1000)" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from sklearn.feature_extraction.text import CountVectorizer\n", "\n", "vectorizer = CountVectorizer(max_features=1000)\n", "\n", "X_train = vectorizer.fit_transform(train_data.data)\n", "X_train.shape" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's take a look at how dense that data is. We can do this by creating a heatmap where each red dot represents that the feature hasa non-zero value. If you implemented the above code correctly you should get a density of 0.08395." ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "i = 1000\n", "\n", "X_random_block = X_train[:i].toarray()\n", "random_density = (X_random_block != 0).mean()\n", "\n", "plt.figure(figsize=(12, 6))\n", "plt.scatter(*numpy.where(X_random_block.T[:i] != 0), c='r', s=0.05)\n", "plt.xlim(0, i)\n", "plt.ylim(0, i)\n", "\n", "plt.title(\"Words in Text Blobs: Density={:4.4}\".format(random_density), fontsize=14)\n", "plt.xlabel(\"Word Index\", fontsize=12)\n", "plt.ylabel(\"Text Blob Index\", fontsize=12)\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The above heat map is made up of the first 1000 entries in the data set after shuffling. It doesn't seem particularly dense; fewer than 10% of the values in the matrix are positive. This may not be particularly problematic when restricting to 1000 features, but since more features generally means more accuracy in this setting, is there a way to ensure that our subset sees a higher percentage of the features?\n", "\n", "Well, choosing examples that exhibit values in a diverse set of features is exactly what submodular optimization and feature based functions are good at. We can define a feature-based function easily using apricot, choose an equal sized subset of examples using submodular optimization, and re-visualize the chosen examples.\n", "\n", "Fill in the next code block, using a feature-based selector to choose 1000 samples with everything else set to the default parameters. You can also set `verbose=True` to see a progress bar during selection. Note that, while apricot can operate on sparse matrices, you might need to use the `toarray()` method to convert a sparse array to a dense array for the subsequent visualization step." ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 1.00k/1.00k [00:00<00:00, 1.10kit/s]\n" ] } ], "source": [ "from apricot import FeatureBasedSelection\n", "\n", "selector = FeatureBasedSelection(n_samples=1000, verbose=True)\n", "selector.fit(X_train)\n", "\n", "X_submodular_block = X_train[selector.ranking[:i]].toarray()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now that you've selected the examples, we can visualize the block in the same way that we visualized the randomly selected examples. If you implemented the selector correctly, you should get a density of 0.2103. Visually, the heatmap should also look significantly more red. This is because we are intentionally choosing examples that have many non-zero values, i.e., rows that would have red in a lot of columns." ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "submodular_density = (X_submodular_block != 0).mean()\n", "\n", "plt.figure(figsize=(12, 6))\n", "plt.scatter(*numpy.where(X_submodular_block.T[:i] != 0), c='r', s=0.05)\n", "plt.xlim(0, i)\n", "plt.ylim(0, i)\n", "\n", "plt.title(\"Words in Text Blobs: Density={:4.4}\".format(submodular_density), fontsize=14)\n", "plt.xlabel(\"Word Index\", fontsize=12)\n", "plt.ylabel(\"Text Blob Index\", fontsize=12)\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Next, we can take a look at the number of words that are observed at least once as we select more and more examples, either randomly, or using submodular optimization. If your implementation of selecting a subset of examples using apricot is correct you should see that a larger number of words are observed earlier in the selection process when submodular optimization is used. You do not need to do anything here. " ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "random_seen_words = (numpy.cumsum(X_random_block, axis=0) > 0).sum(axis=1)\n", "submodular_seen_words = (numpy.cumsum(X_submodular_block, axis=0) > 0).sum(axis=1)\n", "\n", "plt.figure(figsize=(12, 4))\n", "plt.subplot(121)\n", "plt.title(\"# Total Uniques Words Seen\", fontsize=14)\n", "plt.plot(random_seen_words, color='0.5', linewidth=2, label=\"Random\")\n", "plt.plot(submodular_seen_words, color='#FF6600', linewidth=2, label=\"Submodular Optimization\")\n", "plt.xlabel(\"# Examples Chosen\", fontsize=12)\n", "plt.ylabel(\"# Words Seen At Least Once\", fontsize=12)\n", "plt.legend(fontsize=12)\n", "\n", "plt.subplot(122)\n", "plt.title(\"# New Words Seen per Example\", fontsize=14)\n", "plt.plot(numpy.diff(random_seen_words), color='0.5', linewidth=2, label=\"Random\")\n", "plt.plot(numpy.diff(submodular_seen_words), color='#FF6600', linewidth=2, label=\"Submodular Optimization\")\n", "plt.xlabel(\"# Examples Chosen\", fontsize=12)\n", "plt.ylabel(\"# New Words in Example\", fontsize=12)\n", "plt.legend(fontsize=12)\n", "\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Next, we're going to move on to the primary goal of apricot: choosing subsets for training machine learning models. Unfortunately, this is not always straightforward. As an example, we are going to consider classifying a subset of classes from the 20 newsgroups data set. Here are the classes." ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "['alt.atheism',\n", " 'comp.graphics',\n", " 'comp.os.ms-windows.misc',\n", " 'comp.sys.ibm.pc.hardware',\n", " 'comp.sys.mac.hardware',\n", " 'comp.windows.x',\n", " 'misc.forsale',\n", " 'rec.autos',\n", " 'rec.motorcycles',\n", " 'rec.sport.baseball',\n", " 'rec.sport.hockey',\n", " 'sci.crypt',\n", " 'sci.electronics',\n", " 'sci.med',\n", " 'sci.space',\n", " 'soc.religion.christian',\n", " 'talk.politics.guns',\n", " 'talk.politics.mideast',\n", " 'talk.politics.misc',\n", " 'talk.religion.misc']" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "fetch_20newsgroups(subset=\"train\").target_names" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "As an initial example, we will focus on two classes that are somewhat related conceptually but will likely have distinct vocabularies. We will use the TF-IDF vectorizer instead of the count vectorizer because TF-IDF is a straightforward way to downweight words that appear in many articles and to upweight words that are somewhat rare and more likely to be topic-specific. Please fill in the below code involving processing the training and test data properly." ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "((1187, 10000), (790, 10000), (1187,), (790,))" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from sklearn.feature_extraction.text import TfidfVectorizer\n", "from sklearn.linear_model import SGDClassifier\n", "\n", "categories = ['sci.med', 'sci.space']\n", "\n", "train_data = fetch_20newsgroups(subset='train', categories=categories, random_state=0, shuffle=True)\n", "test_data = fetch_20newsgroups(subset='test', categories=categories, random_state=0)\n", "\n", "vectorizer = TfidfVectorizer(max_features=10000)\n", "\n", "X_train = vectorizer.fit_transform(train_data.data)\n", "X_test = vectorizer.transform(test_data.data)\n", "\n", "y_train = train_data.target\n", "y_test = test_data.target\n", "\n", "X_train.shape, X_test.shape, y_train.shape, y_test.shape" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Next, use a feature-based function to select 1000 examples from the training data. 1000 examples is almost all of the data, but because the selection process is greedy we can use it to rank most of the data and then choose increasingly large subsets to train the model." ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 1.00k/1.00k [00:07<00:00, 128it/s]\n" ] }, { "data": { "text/plain": [ "" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "selector = FeatureBasedSelection(n_samples=1000, verbose=True)\n", "selector.fit(X_train)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now, let's train a SGG classifier on subsets of increasing size and compare to ten draws of similarly sized random subsets. Please fill in the below code, keeping in mind that the `selector.ranking` attribute contains a ranking of indices from the original data set. For example, if the first element was `10`, that would mean that `X_train[10]` was the first element chosen by the greedy optimization process." ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 100/100 [00:02<00:00, 39.73it/s]\n" ] }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "model = SGDClassifier(random_state=0)\n", "counts = numpy.arange(10, 1001, 10)\n", "\n", "random_idxs = numpy.array([numpy.random.choice(X_train.shape[0], replace=False, size=1000) for i in range(10)])\n", "random_accuracies, submodular_accuracies = [], []\n", "\n", "for count in tqdm(counts):\n", " idxs = selector.ranking[:count]\n", " model.fit(X_train[idxs], y_train[idxs])\n", "\n", " y_hat = model.predict(X_test)\n", " acc = (y_hat == y_test).mean()\n", " submodular_accuracies.append(acc)\n", " \n", " accs = []\n", " for i in range(10):\n", " r_idxs = random_idxs[i, :count]\n", " model.fit(X_train[r_idxs], y_train[r_idxs])\n", "\n", " y_hat = model.predict(X_test)\n", " acc = (y_hat == y_test).mean()\n", " accs.append(acc)\n", " \n", " random_accuracies.append(accs)\n", "\n", "plt.title(\"20 Newsgroups Classification\", fontsize=14)\n", "plt.plot(counts, numpy.mean(random_accuracies, axis=1), color='0.5', linewidth=2, label=\"Random\")\n", "plt.plot(counts, submodular_accuracies, color='#FF6600', linewidth=2, label=\"Submodular Optimization\")\n", "\n", "plt.xlabel(\"# Chosen Examples\", fontsize=12)\n", "plt.ylabel(\"Classification Accuracy\")\n", "plt.legend(loc=4, fontsize=12)\n", "\n", "seaborn.despine()\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Looks like we can get almost the same performance with just 100 examples (~93% with submodular optimization and ~85% with random selection) as we could with the full set of 1000 examples. It is worth noting that there is a lot of variance when the number of examples chosen is very small, but that performance picks up pretty quickly. If you're not seeing these trends, it's possible that you implemented something incorrectly.\n", "\n", "If you'd like to explore apricot's abilities more broadly, try out the above cells using different sets of categories from the 20 newsgroups corpus and different types of classifiers. " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### A Warning: Gaussian Blobs\n", "\n", "Unfortunately, not all data is amenable to feature-based functions. Specifically, data sets where the features don't follow the semantics that are assumed, i.e., non-negative and a higher value conveys some notion of having \"more\" of some feature. If you have features like coordinates or embeddings from a pre-trained model or projections from a method like tSNE or UMAP, they may not work as you'd like.\n", "\n", "Here, we will look at using data drawn from random Gaussian blobs." ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [], "source": [ "from sklearn.datasets import make_blobs\n", "\n", "numpy.random.seed(0)\n", "centers = numpy.random.normal(100, 5, (5, 2))\n", "X, y = make_blobs(n_samples=2500, n_features=2, centers=centers, random_state=0)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This time, we will fill in how to use a selector for you." ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ "selector = FeatureBasedSelection(n_samples=100)\n", "selector.fit(X)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now, let's apply the selector and get our representative subset!" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(12, 4))\n", "plt.subplot(121)\n", "plt.title(\"Gaussian Blob Data\", fontsize=14)\n", "plt.scatter(*X.T, color='0.5', s=10)\n", "plt.axis('off')\n", "\n", "plt.subplot(122)\n", "plt.title(\"Feature Based Selected Examples\", fontsize=14)\n", "plt.scatter(*X.T, color='0.5', s=10)\n", "plt.scatter(*X[selector.ranking].T, color='#FF6600', s=10, label=\"Selected Examples\")\n", "plt.axis('off')\n", "plt.legend(loc=(1.01, 0.5), fontsize=12)\n", "\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Oops. That doesn't look like a representative subset.\n", "\n", "Does this mean that feature-based functions cannot work in settings where the data doesn't have the same semantics as our assumptions? No! We just need to engineer features that do follow those semantics." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Feature Engineering for Feature-based Functions: Gaussian Mixture Models\n", "\n", "Potentially, one of the most straightforward ways to transform this Gaussian data would be to, first, apply a Gaussian mixture model to it, and second, use the posterior probabilities from that model as the features. Basically, instead of applying submodular optimization to the original feature values themselves, we apply them to the predicted class probabilities from the mixture model. These probabilities have all the properties that we would like: (1) because they are between zero and one they must be non-negative, (2) a higher value means an enrichment for that feature, i.e., a higher probability means an enrichment for class membership from that class.\n", "\n", "Using the `GaussianMixture` object below, transform the above data from in `X` from the original feature values into the posterior probabilities. Because the data was generated from five clusters, your mixture should have five components. If done correctly, the resulting shape should be `(2500, 5)`." ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(2500, 5)" ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from sklearn.mixture import GaussianMixture\n", "\n", "model = GaussianMixture(5).fit(X)\n", "X_posteriors = model.predict_proba(X)\n", "X_posteriors.shape" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now, apply a feature-based selector as you've done in the past." ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 16, "metadata": {}, "output_type": "execute_result" } ], "source": [ "selector = FeatureBasedSelection(n_samples=100)\n", "selector.fit(X_posteriors)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now, let's plot the mixture centroids as well as the selected examples." ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(12, 4))\n", "plt.subplot(121)\n", "plt.title(\"Gaussian Blob Data\", fontsize=14)\n", "plt.scatter(*X.T, color='0.5', s=10)\n", "plt.scatter(*model.means_.T, color='b', s=10)\n", "plt.axis('off')\n", "\n", "plt.subplot(122)\n", "plt.title(\"Feature Based Selected Examples\", fontsize=14)\n", "plt.scatter(*X.T, color='0.5', s=10)\n", "plt.scatter(*model.means_.T, color='b', s=10, label=\"GMM Centroids\")\n", "plt.scatter(*X[selector.ranking].T, color='#FF6600', s=10, label=\"Selected Examples\")\n", "plt.axis('off')\n", "plt.legend(loc=(1.01, 0.5), fontsize=12)\n", "\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Does this look like what you might expect?\n", "\n", "If not, think more closely about the feature-based function and the data here. The sum of each example should be equal to one, so there are no examples that have a higher coverage of the feature space than other examples. However, the feature-based function includes a saturation function that diminishes the benefit of high values in one feature versus spreading them out across several features. Combined, these facts mean that the method will always try to choose examples that are split between multiple classes. Put another way, `numpy.sqrt([0.5, 0.5]).sum() = 1.414` is larger than `numpy.sqrt([1.0, 0]).sum() = 1.0`.\n", "\n", "Regardless of the explanation, this isn't exactly what we were expecting. What we'd like to do is have a way that our feature-based function can select examples near the middle of each cluster without needing cluster labels. The problem with using the posteriors, which are normalized to sum to 1, is that examples that are purest for a particular cluster are not the ones closest to the centroid but rather the ones that are on the other side of the centroid as all the other centroids. \n", "\n", "What does that mean? Well, let's use a simple trick to try to pick out the purest examples from each cluster. First, we need to transform these values such that values near one become bigger, so that purity is valued higher, but values near zero remain the same. We can use an `arctanh` function for that, but you should try out any other function you'd like to see the effects. Below is an example `arctanh` function." ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "x = numpy.arange(0, 1, 0.001)\n", "plt.plot(x, numpy.arctanh(x))\n", "plt.title(\"Example Non-Linear Function\", fontsize=14)\n", "plt.xlabel(\"x\", fontsize=12)\n", "plt.ylabel(\"arctanh(x)\", fontsize=12)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "X_arctanh = numpy.arctanh(X_posteriors - 1e-12) + 1e-12\n", "\n", "selector = FeatureBasedSelection(n_samples=100)\n", "selector.fit(X_arctanh)\n", "\n", "plt.figure(figsize=(12, 4))\n", "plt.subplot(121)\n", "plt.title(\"Gaussian Blob Data\", fontsize=14)\n", "plt.scatter(*X.T, color='0.5', s=10)\n", "plt.scatter(*model.means_.T, color='b', s=10)\n", "plt.axis('off')\n", "\n", "plt.subplot(122)\n", "plt.title(\"Feature Based Selected Examples\", fontsize=14)\n", "plt.scatter(*X.T, color='0.5', s=10)\n", "plt.scatter(*model.means_.T, color='b', s=10, label=\"GMM Centroids\")\n", "plt.scatter(*X[selector.ranking].T, color='#FF6600', s=10, label=\"Selected Examples\")\n", "plt.axis('off')\n", "plt.legend(loc=(1.01, 0.5), fontsize=12)\n", "\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can see some interesting trends here. Unlike the previous plot where all the chosen examples were near boundaries, most of the chosen examples are on very edge of the convex hull. A notable exception, however, is the top cluster. This is likely because the top cluster is so far away from the others that any example in it is considered \"pure.\" \n", "\n", "Finally, let's get to the expected behavior. We would like to design a transformation such that our selection chooses elements that are neat representations of each cluster individually. We saw previously that using the normalized posterior probabilities can be an issue because the normalization process encourages the chosen examples to be far away from the other centroids, rather than close to any particular centroid. If we get rid of that normalization process and instead use the raw probabilities that each example belongs to a particular mixture component, we can get around this.\n", "\n", "In the cell below, use the `multivariate_normal` method from scipy to calculate an array of probabilities for each example under each mixture component. Hint: you will need to do this separately for each component as part of a loop. Make sure that your final output is of shape `(n_samples, 5)`." ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [ { "data": { "image/png": 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LeQWO2O9EaOi3tbVr1yI4OJj3nOU84tGjR2PSpEn46KOP8MILL9jM33IkfgcFBUEikXCP5XK5TQ9S9+7dodfrec9ZF22KiIjA4cOHBT/HhQsXUFBQgMGDB/Oer66u5r7/OXPmYPny5Thy5AhiYmIwZswYm78HQojzUZJ1m+jTpw9EIhFyc3N5z/fu3RtA/VAbVmFhIZ588knMmDEDzzzzDLp164aLFy9i8eLFMBqNAOpPRtYnTXY+FWv48OFITU3Fb7/9hvT0dDz55JO455578Oabb8LT0xPfffcdMjIycOzYMWzatAnvvvsudu3aJZjEJScnQ6/X46WXXoKfnx9cXV3x8MMPc+1hWVfnEolEjV5oSaVS9O3bl3scFhaGn3/+GZ9++inWrFljs711smN9vNZw/fp1XL9+nft5paSk4I033kBycjIiIyPh6emJHTt2cMMJ7cnKysLixYuxYMECJCQkoEuXLkhNTcVbb73VKu0mxFHu7u68v0MWG2c++ugj3k0L4O+/95b8XotEIptYZh1X2PZZMpvNGD58OJKTk2227d69e4PHlMvl3GcNDAxEZWUlFi9ejGeeeQZ9+vTBW2+9hSNHjiA5ORl9+/aFu7s7kpOTuXZJJBJs27YNWVlZSEtLw65du/Duu+/iyy+/RGhoKMxmMxYuXIh77rnH5thsItZcbCISHh6Ohx9+GPv27cOLL76IjIwMKJVKAPXDy4SSGyFmsxlyuRw7duyweY296WYvQWtsvw39fJqzT0s+Pj6Cv6+smpoanDt3DhKJBHl5ebzXHI3fQuczqVRq81xLPovZbEZoaChvKCmLLeQxffp0JCQk4PDhwzh27BgeeOABPPnkk1i0aFGzj0sIaRwlWbcJLy8vqNVqfPnll5g1a1aDlfvOnz8Po9GIl156ibuLZjn3gd1fdXU1bt68yZ0Is7Ozbfbl7e2NKVOmYMqUKRg2bBgWL16MFStWwNXVFS4uLoiNjUVsbCwWLVqEuLg4/Prrr7j//vtt9nPq1Cm88sorGDFiBID6UvSOTDBvLolEAoPBIPhaUFAQrl27hoKCAq43Kz8/H0VFRQgKCuK2u3btGnQ6HXx9fQHUF+8wm83chUhTbN++HWKxmCsdfOrUKQwaNIhX5t76RC6VSm0mcZ8+fRo+Pj68ieodsTIYuX0olUq4urri6tWrNr0dLEd+r4X+HoD6GGUZSxyNLf3798ePP/6IXr162Vz4NpVYXD+9mZ0Dc/r0aUyZMgXjxo0DUH/BnpeXx+sBF4lEXOGdBQsWYMKECUhJSUFoaCjCwsKQm5trNwkIDAyE2WzGuXPnuB6Mq1evcnOgmoKNeVVVVZDL5fDx8UFeXh6mTJni0Pv79++PkpISiMVi7iaStbCwMKSnp9vdh9DP1pGfT48ePfD7779zv1cMw+Ds2bON9ug54u2330ZtbS22bduGxx9/HMOGDcPo0aMBOBa/W+L333/HP/7xD97jwMBAwW379++P/fv3w8vLC126dLG7z549e+L+++/H/fffj82bN+Pzzz+nJIuQVkZJ1m1k+fLlePDBBzF16lQsWrQIoaGhkEgkuHDhAi5dugS1Wg0A6Nu3L8xmMz777DOMGTMGv//+Oz777DPevgYNGoROnTph7dq1ePjhh3Hp0iWbic3vv/8++vfvj6CgIJhMJvz000/o3bs3XF1d8d///hd5eXmIjo5G165dceLECVRWVtpNQAICAvD9999j0KBBqKqqwpo1a1p8YcOqq6vjLqrY4YI5OTl44oknBLePi4tDaGgonn/+ebzyyitgGAarVq1CWFgYYmJiuO1kMhmSk5Px0ksvwWAwYPny5RgxYkSjQwUrKipQXFwMo9GIvLw87N27F3v37sULL7zAXTT5+/tjz549OHz4MPr27Yv9+/cjIyODV0LYz88Pv/32G3Jzc9GtWzd07twZ/v7+uHbtGr7//ntERkbiyJEj7b5uECEN8fT0xKOPPoq3334bDMMgOjoaVVVVyMrKglgsxv333+/Q77Wfnx+uXr2KCxcuwNfXF56ennB1dUVMTAx27NiByMhISCQSvPvuuw4t3fDQQw/h22+/xT//+U888cQT8Pb2Rn5+Pn788UckJyfbHfoM/P03bjabceXKFWzcuBH+/v5c/PP398ehQ4cwatQouLi44MMPP+RVAM3KysKxY8cQHx8PuVyOixcvQqfTce9fsGAB5s+fj169emH8+PGQSCT4888/cfbsWbz44osIDAxEQkICli1bhpUrV0Imk+HNN9/khmja88wzz2Dw4MGIjIyEXC5HQUEB3n33XXTv3p3ruVq0aBFef/11dOnSBcOGDUNdXR0uXryIa9eu4cknn7TZZ1xcHAYPHoynn34azz//PAIDA1FSUoIjR44gLi4OUVFRePzxxzFjxgy8+uqrmDlzJlxdXXHq1Cmo1Wr06tULfn5+OHfuHAoKCtCpUyd069bNoZ/PnDlzsHnzZvj7+yMkJARfffUViouLHUqyysrKbJLxzp07QyaT4bfffsN//vMf7NixA4MGDcLChQvxyiuvYNCgQejRo4dD8bslfvrpJwwcOBBDhw7FwYMHcfz4cXz77beC206aNAlbt27F008/jWeeeQa+vr7466+/8Msvv+CBBx6Av78/Vq1ahWHDhiEgIAA3b97EkSNHeDcUCSGtg5Ks20jv3r3x3XffYdOmTXj//feh0+kglUoRGBiIhx56CDNnzgRQP97/5ZdfxpYtW/Dee+8hMjISL774Iv75z39y++rWrRvWrFmDNWvWYPfu3YiOjsazzz7LVU8C6ksyr1u3DgUFBXBzc8OgQYPw8ccfA6g/Gf3888/YuHEjqqur0adPH6xatcrugrtvvPEGXn31VUydOhUKhQILFy5EaWmpU76Xy5cvIz4+HkD9kKDevXtj+fLldu/EikQifPjhh1i1ahVmz54NoP5C4dVXX+UNF/Tz88OECRMwf/58lJaWQq1WY/Xq1Y2255VXXgHwd0nriIgIfPHFF4iOjua2uf/++5GdnY3nn38eDMNg7NixeOSRR7iy1AAwY8YMnDx5EtOmTUNVVRU+//xzJCYm4rHHHsMbb7yBmpoaqNVqPPPMM7z5E4Tcap577jnI5XJs27YNy5cvh6enJ/r168etG+fI7/W4ceNw6NAhPPzwwygvL8ebb76JqVOnIjk5GS+//DLmzJmD7t2744UXXrAZVi3Ex8cHX3/9Nd599108/vjjqKmpga+vL+Lj4xtdQ4v9GxeJRJDL5YiOjsbixYu54WFLlizByy+/jJkzZ6JLly6YO3cuL8nq3LkzTp8+jS+//BLl5eXw9fXF008/zVUYTEhIwKZNm7Bx40Zs27YNEokE/v7+mDp1KrePf//733jllVcwd+5ceHl5YeHChY3OX42Pj0dKSgo2b96M8vJydO/eHYMHD8aqVavQrVs3APVDy9zd3bF161asXbsWMpkMQUFBdheXF4lE2Lx5M9577z28+uqruH79OrdfNgb369cP27dvx7p16zBjxgy4urpiwIABGD58OID6aqpLlizBhAkTYDAY8Msvv+Cuu+5q9Ofz6KOPoqSkhPt5TJ48GZMmTXLo5y+0ZuGqVaswatQovPTSS5g/fz5XMXLevHlIS0vDSy+9hC1btjgUv1ti0aJFOHjwIFatWgVvb2+8+eabducIuru7Y8eOHVi7di2effZZVFRUQKFQ4O677+Z6ttgbiTqdDh4eHoiNjcWSJUuc0lZCiH0ipqUDmwkhhBBCSIupVCq8//77gvPxCCG3F1onixBCCCGEEEKciJIsQgghhBBCCHEiGi5ICCGEEEIIIU5EPVmEEEIIIYQQ4kSUZBFCCCGEEEKIE1GSRQghhBBCCCFOREkWIYQQQgghhDgRJVmEEEIIIYQQ4kSUZBFCCCGEEEKIE1GSRQghhBBCCCFOREkWIYQQQgghhDgRJVmEEEIIIYQQ4kSUZBFCCCGEEEKIE1GSRQghhBBCCCFO5NLeDSAdm0ajgVarhVKphEqlau/mEELIHYfiLCGEtD0RwzBMezeCdEwajQa7d++G0WiEVCrFtGnTGrwAoAsFQghpGoqzhBDSPmi4IGk3Wq0WRqMRAGA0GqHVau1uy14oZGRkYPfu3dBoNG3VTEIIuW1RnCWEkPZBSRZpN0qlElKpFAAglUqhVCrtbtuUCwVCCCH1KM4SQkj7kCxfvnx5ezeC3P40Gg1OnjwJs9kMuVzu0HvkcjkUCgXc3d2hVqsbHJpiNpuh0WhgNpshlUqhVqttjuNoGxrarjmfgxBC2sKdEmeb+1kIIeR2QnOySIs1dcx/S45jb65Aamoq0tLSYDabIRaLoVarkZiY2KS2ttXnIISQproV4qxGo8HOnTthMpkgEokQHx/f5Djblp+FEELaEw0XJC3WnCEmGo0GKSkpTRrzX1hYiCtXrqCwsNBmX0ePHoXZbAZQfzf26NGjgvtuqK00VIYQcqtqqzgLAKWlpcjMzLR5X2ZmJkwmEwCAYRgcOXKkyXG2uZ+FEEJuN5RkkRazN+bf3gm+OZOrU1NTceTIERQVFeHIkSNITU3lXtNqtbDukGUYBqmpqdy+2bbIZDK78xOaMneBEELaUlvEWbanKicnBzk5Odi5c2ej72tqnG3osxBCyJ2E5mSRFrMe8w8ABw8eRFpaGgoKCqDRaKBQKLhx9ydPnkR+fj6A+l4nd3d3BAcHN3iMAwcOoLKykntsMBgQHR3N7YOdR2CpsrISGo0GRqMRhw4dQn5+PnQ6HWJiYuDj42MzP6EpcxcIIaQtCcWn1NRU/PjjjygsLHRKnD158iQKCgq4xwzD8N7n5uaGCxcu8N7T1Dhr77MQQsidhpIs0myWE5dVKhWCg4Oh1+uxe/dulJSUcL1L1id4ocnVer2+wUnQFRUVyMvL4x4PHjwYtbW1OHnyJLy9vdG1a1cUFBTY9GiZzWYYDAZUVFRwj318fJCUlCR4HL1ej9LSUnh7e7fbZGyaEE4IscTGBG9vb8TGxkIul0Oj0eDAgQNOjbNmsxnZ2dncPiUSCQICApCdnc3dxLJ83fJ9TYmzt8JaXBRnCSGtjZIs0izsUJT8/HzeHVTLu6cs6ypVcrkcRqMRBoMBERER6NKlC3bu3ImCggJkZ2fDx8fH5qQXEBDAncgHDx4MPz8/3vElEgn0er1NO8ViMSIjI6HT6biiGIGBgQgICHD4M7Wl1NRUHDhwQPDONCGk42ko1lrOTxWJREhISGgwzrL7uXDhAkwmk00clMvl8PHxgcFggLe3N8LCwpCens4du6qqyqE4K5FIIJPJ4ObmJlidkOIsIaQjoDlZpFnsTVy2HGsvkUgQFBQkWFkqPT0dRUVFSE9Px+HDh7nJ1CaTCZmZmYLHTExMxFNPPYXExERkZmbyjg+AO64l9u6r5d3d9PT0Zk3Wbm3WBTxoQjghxJFYKxaLER8f32CctYyZDMMgLS1NMA6qVCrMnDkTM2fOhE6na1KcjYmJQdeuXcEwDHJycgTnglGcJYR0FC7t3QBye1IqlcjKyuJK8FpOXO7bty8AICoqSnAoiPVJtqqqqknH1mg0uHz5MvdYIpEgKioKvr6+OHLkiM32R44cgUgk4h6zJ1XrtimVSpw+fRomkwkSiaTNJ2NbF/AQi8U0IZyQDk4o1rLD7WJiYmAwGASH3VnHWWtms1kwDrKaE2clEgl3w4w9rvUxKM4SQjoKSrKIXQ2Nm1epVJg2bRq0Wi1kMhkyMzNx+PBhFBUVwWQyQSqVIioqSnAflidZAOjSpQtu3LjB7dvX17fBdmi1Wt6JPCAggHveHsuTqkgkcspJ1dnzCiwvpkQiEU0IJ6SDcCTWZmZmorKy0ibOTps2DQCQkpJiE2fZeALUzzcViUS8+VaWcdAZcdZye8A5lQMpzhJCblc0J4sIYkv5NjRPSi6Xw2w24+DBg9Dr9bh58yZvErbBYMDx48dtxt7r9XqcP3+e2w87WZrl4+PDDe8TGr/v7e3NTeiWSCTw8vKCm5sbqqurecUxhLDDatjKhJaTn7VaLVdZy7qqltD34+x5BZYVtxISErg2EkLuXI7MD9Lr9UhLS0N5ebnDcZadk8XGRIPBwNunUqnEyJEjAcdGWhYAACAASURBVDg/zrIJ3OjRo6FSqSjOEkI6JOrJIoIsF51k50nZG/pnffcSqL+DWVlZaTP2XqVSITMzk9ezZPlv6zuf1nOvtFotkpKSuDu7ly9fRk5ODrRaLdzd3e1+Hi8vL0ilUqhUKiQmJgL4+wRuNBqRlZWFmJgYbrhLY8NYhOYVOONuqEqloruqhHQQ7PwgNgbaiyXNibMAoNPpBI/LjjRgOSvOenh4wMPDg+IsIYSACl90GPYWrGzstcYolUpIJBLusVgsRlBQEGJiYlBUVMQ978jYe5FIhJiYGO7kZz0nQCwWQyaTISUlBUB94sReeDAM0+Dcrhs3bqCoqAjHjh2DRqOBRqNBamoq7wSek5PTpM9Ni2kSQiw1Nc46Oj/ImXEWQINxFgBkMhk3TA+Aw3G2urqaF2cB2wSO4iwhpKOg4YIdQENDLuy95ubmxq2HIpFIMGbMGMFhGtYlf8eMGYORI0ciOzubt6il5dAUy31bsxwqKLQwZmFhIbfAcefOnVFcXOzQd8Aei2EY6PV6nDp1ymaYouUwnMaGsej1elRVVcHb25sbEkMI6biaE2ct17ISiUS8ocyWmhNngfpYe/HiRZtY21CcBYDCwkJcvHgRBQUFKCsrE4zVYrHY5nnL+GkwGODm5oa0tDTedhRnCSEdBQ0X7AAaGnJh7zWVSoXp06c7NOFYaOiFdUUs6yIYcXFxSEtL48roAn/fhWW3q6ystDkWe0fVaDTi0qVLzfo+9Hq9YLUta5WVlTaTyQH+8BfrYTeEkI6puXGWLSDkrDgL/F0sQiaT8SqrAvzeLo1GY5NgAfwCFpYx2pK951lXr17lDTu3x7LXzPI7oDhLCLndUU/WHcpyorHlBGbrhYEt76QKLRocHBzs0ERjy+Oxk67ZycVqtRoAGl08mGEYmM1mHD16FPn5+Y32UgndXXWEyWSyufAQotfrBSejHzx4ECUlJQDqv7+G7sQSQu5ct1qcZYtMsLG2oKDAJhkSiUSorq5GSUkJDh06xKvsakmop8rFxaXR5IplNBpRWlraaKx1dXUVLNxBcZYQcrsTMc29UiW3LOs7gGyJX3t3S1tSIjc1NRVnz55FRUUFdwFhvfgwUF9eOCMjg3scFBSEK1euONSjZM3V1RW1tbVNfl9jxGIxRCKR4J3X6OhoJCUlcVUX2W0kEgmmT59u09PFfp+A/e+dEHL7uhXjLGAbay3LtlsSi8UNJky+vr4wGAwoLS1tUlsbYxlnJRIJPD09eYledHQ0lEplo3EW4PfY2VsvjBBC2gsNF7wDCQ1NSUpKsnvyaW6lpdTUVJtFKRta6Nd6WEtUVBQyMzNtJkKzFwX2LgJaI8FSKBRITExEYWEhTp06xZvcbTkZ3d7aMZYn+/T0dBiNRpw+fRpAfc9ZVlYW76LI2Wu/EELa1q0YZwHbWBsTEwOdTofc3FxePGXngdm7z3rt2jXIZLImt9fNzQ21tbWC+xWKs5YJFlvcorE4y8ZjNsllUZwlhNxKKMm6A1mfZFtr4d2zZ8/abGd9PMv3Cc09KCws5CVZYrEYarWau4PalEpUjhC6qBCLxejSpQsKCwtx7Ngxm54sywsTdo4DwzC8uWbsyd4yMbTcj+VFkXVJY3t3pAkht662irNClQobirNC87xSU1NtFhGWSCSIi4uDRqPhVShkOTos0FpNTY3gUMPG4iwABAcHQ6VSobCwsME4m5WVhb59+9qMhKA4Swi5lVCSdQdqymRqRwidrADbRYS9vLzQvXt37j3s+iqWPTlJSUnc9kJ3aM1mM/z8/HgXBkJ3RDt37swdXyqVQiaT2bRHiNC+zGYzcnJyGkzoMjMzAQDHjh0DwzAQiUQIDg6GVqtFaWkpd7K3vDvMllw2mUy8iyKhNWno5E/I7aUt4qxKpYJcLuclQR4eHvD19eUep6amckWELN/HtkcozrL8/PwAACUlJYJJVffu3WEwGGA2myEWi+Ht7c3Nk2qI0L4cibPsHNjG4iz7f6lUyku0LONsa62xRQghjqIk6w7lzMUWhU5WpaWlvBOpl5cXbt68idLSUpthKez7UlNTubZpNBqkpaXZPR4ApKen2x3K4u7ujoiICGg0GqhUKpw4caLFn7Mher2eVymLYRhcvHgRQP0dWnZxTbFYjNDQUG5IIzuvgb0Is16TxtF1bQght57WjrMAbJKa6upq5OTk4PLly1AoFLwFh5sSZ9lF5q9cuWK316qmpgZqtbrN4mxlZSUOHz7sUJz19fXlhpxXVlbCw8MDUVFR3M/Deqhjc4Y+EkJIS9BixKRR1gtCymQym0She/fuvN4cIUVFRdi5cyc3tMXedjKZjNfbI0QulyM9PR1FRUVIS0trlXlalkpLS22qIbLMZjO6dOkCkUgEs9mM7Oxs5ObmIicnB+np6by73PbmGhBCOjahOLt7925eLxYbY4D6JMkywWI5GmfF4vrTv6Nx9tixY6irq2v253NEXV2d4GcCbONsWloazp49iytXrkCn0+HKlSu87Q0GQ4OPCSGktVEJd9Io6zLBxcXFNgtgsmPmhU7onTp14k7k7CKVAwYMsLt9fn4+rl+/LtgWV1dXxMXFQSwWIz8/n9tnc3Xt2hXe3t64efNmo9vam2sA1E/2tjyJs9tYlx62LuU8evRoh0o3N8a6tDMh5PYiFGfZGAfUF40YPHgwdDpdo/OlHImzDMOgvLxc8DWJRIL4+HhenA2uzkZURTp61+YjpuIYBlafRa3YFXqXxuNNU+JsQ8RiMe9cUlxczLW/sVhrWTa/uSjOEkKagpIs4hDLtVysT179+vVDcXEx/P394erqihs3bnDVAePj4yESiXhJk7e3NxiGwfXr18EwTKOLVVpSKBT4xz/+wfUYtXQFgt69e8PT07PRNblYSqUSLi4uNgsle3t7Cy6eLLQmjtC6Ni05cVuui2O9phch5PbRUJyNiIiAwWCwibPskGM3NzdeEmMZZyUSiWCPlb1krWfPnlycrTu9B6NLf0TCzaPobSxEn9o8yE3X0d10Hf2rL2Bg5e+IvXkcncxV+J9boOD+vL29ERQUhLy8PIe+B19fX/Tr1w8Mw/A+k1QqtelNY9fhaizWAqA4SwhpU5RkkSazPHn5+/sjPT2dW/gyLCwMMTExcHd3R0JCAqKjo1FSUsI7uXp4eODcuXOoqalpUoIFADdv3kRubi769OmDCxcucEnWpUshOHEiGmazGHK58LA+IR4eHvjf//7nULLG9jxVVFTYJGU3b97k9XKxFz5sAmp5Yre8kHLGifvkyZPc3WZatJOQO4OjcTY+Ph4jR47EjRs37MbZpq5HePPmTWRkZMC7IA1jL2+BwqSHGPWxzXJpYRGATowB7kwN+tTmQcyYBBOtyspKXL161aGKhRKJBElJSYiNjUVubi4v1rIVXNk4K5VKERcXBx8fH/j7+9uNtXq9nuIsIaTNUZJFmoU9eWVnZ/OG7eXn52PAgAGIjY2FXq/HwYMHce7cOV4SU15e3qJjl5eX4/Lly9w8rEuXQrB79zTk5/eFRqOCQlHkcKJVXl7uUIKlUCgQERGBP/74g6uYaI1hGAQFBUGpVCI+Ph4MwyAtLY2rmMWe2C17rrRabYtP3K0xLIYQ0v7aM84ajUbE5P8HPUyOxVIRADeTAac8owVfdyTBUigUmDhxIgDg4MGDgrHWMs6q1Wp06dIFubm5OHfuHAoKCgRjbW5uLldAhOIsIaStUHVB0iTW67EolUpkZGRwrzMMw1XFsl4o0pksFwvWagNhNLoCAIxGV2i1gQgN/cOpx5PL5VyZZHtEIhF8fX2RmJgIjUaDo0ePchc9bNWvwsJCbrHirKwsxMTEcGWIhdbacWQxTWeXkiaEtC+hOJuZmcnFk7aKs51MtkOg7WEAlEgdSzrc3NxQU1Nj8zy7Rpa9kvOW7C1IbDQauSU32NckEglXmZDiLCGkrYiYlk5qIR2G5TouUqkU06ZNszkhikQi7gTmyELCYWFhKC0t5VWU6t27N4qLixusBmW56C/bk2U0ukIqrcW0abudnmQJLWJs2RaGYbiFM2NiYuwu8Gm9n+joaCiVSmi1WshkMpty79bfN53YCbmzCf3dA8B//vMfXuzw9fWFh4eHw3EWAFcOHai/ccSWRbdX0e/xok3wq/v7NYYBRCLBTQEAJzpF40C3CY22xx6JRAKz2Ww31opEIq66oEQigaenJ27cuCG4n4CAAN53ExQUBC8vL946WtaJGsVZQogzUU8WcZjQOi7WZXMZhkFOTg7vziF7wsvPz+fdvXRzc8Off/5pcxe2c+fOcHNzs7sQMcAfehIa+gemTdsNrTYQSmWu0xMs9nMJUSgU6NKlC3cyNxqNDfZ4sQVB2CEnlndErRcipcU0Cel47K2XZR2DdDqdYJwtKyuzWVurtraWt+wGUL8sRVxcHM6fP2+3LZUSD8CizoR1gsUAMEECF5hQCylyZS1b88/eHF1fX1/cddddKC0t5WKtyWTiJViWN7DY/ViOEmDX0LJe9Llv374UZwkhrYKSLOIwpVKJrKws3tA2mUwm2GNjMpm4E6Nlz8w333zDbVNbWyuYvFjebXVUaOgfrZJcsYTusIrFYiQmJgIArly5AqPRyFvHBqgvXRweHs4NEWR7uix7rADhCyuh75sQcmez93d/+vRpmyREKM4CwIcffshLtCorKwXf29iwvFMeUQisuQwXmGD6/8tqSlAf3xgARzwTUOjqh0CDFrkyJf6Qhbbos0skEq5tlry8vJCUlASNRsPFWktCcTYqKgpRUVE2w/usYy2ABodsE0JIc1HhC+IwofLjAQEBKC4uRkVFBbp164bq6mpu+8rKSgQGBiI6Opob815dXc0bBihqaOzJLaB3796QyWSIjIyEVCrllaJnGAYDBgyASqWC0WiEwWBA3759udL0QP3imjExMQgLC+O+t+joaK66IEtoUrVKpbL5vgkhdzahOCuXy+Hj4wO9Xg+j0chLQqqqquDu7o5evXpBr9fj5MmTqKys5JU+79mzJ1fyvSn0LnJck/qgSuSOo50TcMG9P9zMBpRIvHGo61ic8hgKvYscObIQh9bLskcsFqNnz55QKBQICwuDwWDgLYlRUlKCnj17crH2xo0bvAXoheIs+701FmtHjx5t8z5CCHEGmpNFBDkyEZjdrqGJ1yKRCP369cOlS5cEh9DJ5XJ069atwaGBbcl6zhT7mO2Bsh4KyM6p2rlzJzdkR6FQ8OY4REdHIykpqdFjO/qdE0LuDE35m9doNFycEWI5N9Sal5cXfH19nbK2oLO4uLjw1rxyJNbKZDJeQSFLjsZZgGItIaRt0HBBYsN6zLr1RGDLE5Tl0AshDMM0OPyvpKQEUqm0VU78lsUxHN3ex8cHRUVF3IWMZXVAg8GA0NBQ7vOwa2FlZmZy2wvNBXB0+IlKpbL7PdOFACF3lsbiLLsNGwMs44yQhmJdaWkpSktLndb25mBHLbDzUkNCQqDRaGAymXg3t4xGI3Q6Hbp27cq1WSqVQiaTIS0tzWbItuX8VkdZxlqKs4SQ1kJJFrHRUMEFywuDU6dOwc/Pz+b9lslNQ1X5WDdu3BBMiDp16sQr1d5UPj4+dqtmWWOPZW979iR/+vRp7jl7n+vGjRuC866awpELMELI7auxwjaWPVenTp2yeb/QTaHm6t27NwoKClq1l4thGHh5eaG0tBRmsxkXL17kEi+RSASxWMyNBsjNzeWdQ9h4an2O8PHxgYeHB1fUoqkozhJCWpO4vRtAbj1KpRJSqRQAbO4QWl4YmM1mboFMlkKhwIwZM/DAAw8gKCjIZs5VWFgYxGL+r53JZIKLCz/fF4lEqKqqstm2NYjF4gaTua5du6Jv377Q6XS8ixl2MWFXV1fe9lVVVTh27FiL7ozaqzBGCLkzNBRnAfB6rsxms01BnRkzZmDevHmIi4sTjLPWMRWor+gq5K+//oKnp2ezPoej82rFYrFNbxqb1JnNZigUCu4/y8/KMAwMBgNkMpnNPnU6nU2F26agOEsIaU2UZBEb7KKL0dHRNnf2lEqlTeLDPpZKpUhMTOSGYnh5efFOlkFBQQgPD7e5G1lTU8ObxAzwT77NpdfruWpVIpEInTt35r3u4uICX19fBAYGNrifiooK5OTkIDc3l/e8WCyGTCZDdna2zXtMJlOLTtiNXYARQm5vDcVZIWwyI5VKMX78eG57g8HA64Fi46xQ75bQAsBAfYJRUVHRrM/Bxli2jc2Js2KxGDqdDkVFRbh27ZrNa0ql0u4og5YkRxRnCSGtiYYLEkHW84Msn1er1VzpX4lEgri4OJuhcRqNBqWlpdwaLmxJXWfcKWSLaTQ2ibu2thYikQhBQUGIiopCZmYm70Kirq4ORUVFiIuL4w1PscY+b/16YGCgzQUOi52v1VzsBRjNFSDkzmUvzgJAVFQUF5fEYjHUarXgEGSZTMabm8TGWWcM/ZPL5dDr9Q3uiy1eIRKJEB8fD51OZxNndTodwsLCuPOBpU6dOvGq0grFWZVKhczMTMHjtyQ5ojhLCGlNlGR1EM6c3Ovn58c7Wfr5+dnMJWDHuUskEi7JAYCCgoIWHRuo7+Wqra3FXXfdZTNc0XpuFzsPwN5J2mQyQafTQa1W48SJE1yPmtBcMss1XNiLGYC/fo2Xlxe6d+/e7DkClhq6ACOE3HqcXUTBcs6SdZxlj5eeng6z2czNXQKcE2eB+njavXt3m8WNhbDD+uzJzs5GfHw8zp8/zw0blEgk6NWrF7fAMMv65hxQvyCx5XZhYWHw8PBo8XdNcZYQ0looyeoAnD25V6vV8qrpWU7YTk1NRUZGBjfO3WQywcvLCwDslh/28PDgrYniCOuTMlB/R3TIkCE2C2zKZDJoNBq7+6qsrOQWsZRIJAgICICvr6/Nc+zJ3vIiynK/EokE48aNoxM2IR1QW8ZZjUaDzMxMFBcXc7GWYRjodDocO3bMaXFWaKF5V1dX3H333TYl1kUiEZRKJQoLCwXjM9s+dv0usViMuLg4+Pn5cQsMsz12fn5+NnE2PT2de59areYWgieEkFsVJVkdQGNVrJpKqVQiKyuLV6Jco9Hg8OHDNuPm2dftlR9m129pqMw74Fg5doPBAD8/P5uLiZycHC5hst6PWCyGh4cH1262jQaDgVchEPg7ubJci6WhCyFCSMfRVnE2MzNTcHizVCpFZWVli+KsI9Vg6+rq4OfnZ1O9lWEYFBYWcsmQ9b7YkQCWhZM0Gg38/Px4Q/YA2PQGWhdcaqjHjBBCbhWS5cuXL2/vRpDWZb3CvVqthlwub/b+5HI5FAoF3N3doVarAQC7d+/GjRs3eNvJZDJMnToVKpUK586dw/Xr17nXXFxcwDAMqqurUVxczHufSCTiDZNJSEhAbW0tdwfUHna4ivXEaYlEwlUPZBgGQUFB8Pb2hre3N8LCwnDz5k3cuHEDDMNAIpGgrKwMBQUF3DBC9vPl5+dDo9FAoVBw35/ldyuRSCCTyeDm5tai75cQcvtpqzhbUlJikwgpFApMmDABJSUlvDjr6uoKs9ksGGctNSfOFhYW2rTDYDDw5mOxsdbNzQ0KhQK+vr7Q6XRcglhZWQmNRoOwsDDExsZCr9cLxlrr79bf3x/Z2dkwm80UawkhtyxKsjoA65O1M3pa5HI5goODIZfLcfLkSZu5UQAQEhKCYcOGAagvHWxZqKKhXimxWIx+/fpBJBJh8ODB8PPzQ0ZGhs0JXSwW2zzn5ubGu0gQiUSIjo7mTuxSqRSjR4/GyJEj4ebmhkOHDqGkpISrYOXl5QW9Xs+10WAw4NKlS9yFg9lshru7O4KDg7nvQaFQwGAwoLS0FHq9HtnZ2fDx8aGTPyEdSHvFWbFYjIkTJ0KlUvHirFgs5opSCHE0zgqVaGcYxmbZC6lUioiICJtY26tXL5w6dQolJSXQ6XTcCAF2tAEbU81mM1JTUwVjreV327lzZ5w5cwaFhYU2N70IIeRWQklWB2F5snY2y7uMlifksrIy7gQol8u5hTMbmxfAMAz0ej1u3rwJnU6HqqoqLvEB6idA9+vXD+7u7ry7tgDQuXNn1NTUcEmcr68vBg4ciLCwMN7Fj0aj4Z3QGYaBUqnEgAEDeD1TZWVlvKSNvUOt1+tx8uRJmM1mrqeObSPb/iFDhrTsiyWE3FbaKs5a3mASi8Xo378/L866u7sLxkdLDMOgpKQElZWVTY6zBoMBEomES+a6dOmCIUOGIDEx0ab3zTpx8vHxwZAhQ2x6pg4dOsTrBbPusVKpVDCbzfj11195N+ssb3oRQsithJIs0mJ6vR5VVVXcEDz2hCzU69OlSxfu5Mqyd6eU3YebmxuXmEkkEigUCnh5eeHmzZs2J/+ePXti9OjRMBgMuHHjBsrLy6HRaNC1a1fU1dXB29ubG5JifUJnEzD2IkEmk/EuOtghOYDt8MGrV6/y2lJZWYmePXvSHVZCiFNYxlkvLy8u3jAMYxNng4OD4ebmZhNr7WkszpaVldn0cCmVSnh7e6OsrAzV1dXQ6XQwGo0oLi7m5lY5EmfVajWKi4t5vXQKhQIRERFIT0/nxVmtVovCwkKbdgQEBDTjGyWEkNZFhS+IXY6UI7asqCWVShETE8NVihJav8RyXRKZTMYVlsjMzORVpGILVEgkEhQVFYFhGG4idU5ODretZSELkUgEX19fqFQqaLVabhuj0chVwsrKyoJcLucmUQP1J3T2PYWFhbxiF5afhV1oOSUlxWaCe1RUFK/9DMNQEQxCiEMai7VNjbOAcKyVyWQ4e/aszfzZxuKsRCKBl5cXV3pdLBbD19cXBoOhxXGW/byWRT4SExMFC4mw5wrLhI+KYBBCblXUk0UEsSd1oWIPliznCbBDQdRqdYPzEtg7rQEBATCbzdBqtfDy8uKN5Y+Li4OPj49Nb5L13VSGYeDr64vKykquRDB7N5UtZmFZ5cpsNvOGK0okEkRGRnJ3TPPy8nD16lVuMrb1MEN2H9YT3NmhLAUFBWAYxikT3wkhdz5HYm1z4izwd6ytra1FaWkp+vbti+DgYN6QaOu5qIBwnB04cCCUSiXy8/O5WNu5c2duDa3mxlk2+bKez2YvzppMJoqzhJDbAiVZRJD1Sd3euHd7J0JH5iVYXlywE6LZi4fo6GibIS8SicSmLLBUKkWPHj14QxTz8/Nx/fp1bt2W/v37cwmc9fuVSiWkUqnNhHL2M8fGxtp8FnsT3AMCAtCzZ0+nTnwnhNzZHIm1zoqz1jeP4uPjuSJAjcVZdlgfO1zPbDZzFQvZIhplZWXNirPs57D8PBRnCSG3O0qyiCBHyxG3pKKW0N3ZpKQkuwlNQEAAdweTrQbIVq8SmnvAMAy8vb0xefJkbh+BgYE21a+8vb1t3i/0mTUaDa/YRXBwMK8ABjvxvLUmvhNC7jyOxFpnxlmhm0eOxFnr3iVLDMPA39+f611rSZwF/o613t7eXGl3irOEkNsNJVlEUFNO6s094TUlkQsODkZ2djYKCgoA/F0NMDY2ltdWhmF41QC9vb0RHh7OG6Jo/bks369UKrneNMvPLDSkx96aLoQQ4ihHY217x1nLtlpXiRWLxUhISOBuPjU3zgK2sdZoNOLQoUMUZwkhtx0R09jy7oS0IkeKa1huazn5e9q0aYIn6J07d8JkMkEikWD69OlOGU6SkpKCjIwM7nF0dDQA2DyXlJTU4mMRQogztUacZbcRiUSIj49HYmKiU9pqHWvZpI5FcZYQcrugnizSrppyd9aRO76W68TEx8c7bby+0N1gy+EvNAGbEHKrao04y26TkJDA3XRyButYa73AMcVZQsjtgnqyCHGQ0N3gptwhJoQQ0jjruEpxlhByO6Iki3QolidrAHTiJoSQVkCxlhDS0VGSRToMy3kEEokEAGAymezOOyCEENJ0FGsJIQQQt3cDCGkrWq0WRqMRQP0J32QyAQCMRiO0Wm17No0QQu4YFGsJIYSSLNKBsAtiAoBEIuHusEqlUm5ICyGEkJahWEsIITRckHQwNE+AEEJaH8VaQkhHR0kWIYQQQgghhDgRDRckhBBCCCGEECeiJIsQQgghhBBCnIiSLEIIIYQQQghxIkqyCCGEEEIIIcSJKMkihBBCCCGEECeiJIsQQgghhBBCnIiSLEIIIYQQQghxIkqyCCGEEEIIIcSJKMkihBBCCCGEECeiJIsQQgghhBBCnIiSLEIIIYQQQghxIpf2bgAhhBBCCCEtVV5ejqKiIhiNxvZuCukAPDw8cNddd0EsFu6zEjEMw7RxmwghhBBCCHGa8vJyXLt2DX5+fnB3d4dIJGrvJpE7mNlsRmFhIdzc3KBQKAS3oeGChBBCCCHktlZUVAQ/Pz906tSJEizS6sRiMXx8fHDjxg3727RhewghhBBCCHE6o9EId3f39m4G6UCkUinq6ursvk5JFiGEEEIIue1RDxZpS439vlGSRQghhBBCCCFOREkWIYQQQgghpN1NmDABJ06cEHztxIkTGDZsWBu3qPkoySKEEEIIIaSV7d+/H9OnT0dERARiY2Mxffp07NixA2yh7yVLlkClUuGXX37hvW/16tVQqVTYs2cPAGDPnj1QqVR48803edv9/PPPUKlUWLJkid023Lx5E6tXr8aIESMQGRmJMWPGYPXq1bh+/XqLP19iYiKOHTvWon3s378fd999d4vbciugJIsQQgghhJBWtG3bNqxevRqPPfYYjh49imPHjmHFihU4ffo0b10vf39/7N27l3tcV1eHAwcOoE+fPrz99enTBykpKbzCC3v37oW/v7/dNtTW1mLu3LnIycnBJ598glOnTuGbb75Bt27dcO7cOed9WDsaKhJxJ6IkixBCCCGEkFZSUVGBDz74AMuWLcM999wDT09PiEQihIWFYe3atXB1deW2TUxMxOnTp7nS4EeOHIFKpYJcLuftUy6XIyQkBEePwcD0DgAAIABJREFUHgUAlJWV4cyZM0hMTLTbjn379kGn02HDhg0ICgqCWCxG9+7dsWDBAgwfPhwAcO3aNSxatAgxMTFITEzE559/zr1//fr1ePbZZ/Hiiy8iMjISEyZM4JKzF154AVevXsX8+fMRGRmJLVu2oKCgACqVCjt37sSIESMwd+5cAMAvv/yCCRMmICoqCrNnz4ZWq+V9frY3zGAwYMmSJYiOjkZSUpJNIrh582YkJCQgMjIS48aNw/Hjx5v2g2lllGQRQgghhJAO7fvvgYUL6//vbGfOnEFtbS1GjRrV6Laurq5ITEzE/v37AdT3Tk2ZMkVw2ylTpnC9Xvv378eoUaN4CZu1Y8eOISEhAR4eHoKvm81mPPXUU1CpVPjtt9/w2Wef4bPPPsORI0e4bVJTUzFhwgRkZmYiMTERr7/+OgBgzZo16NWrFz7++GOcOXMGTzzxBPeejIwMpKSkYOvWrbh8+TL+9a9/YenSpTh+/DiGDRuG+fPno7a21qY9GzZsQF5eHg4dOoStW7fyevhyc3OxY8cO7Nq1C2fOnMHWrVvh5+dn97O3B0qyCCGEEEJIh/X998CDDwIfflj/f2cnWqWlpfDy8oKLiwv33AMPPICoqCiEh4cjIyODt/3kyZOxb98+VFRUICMjA6NHjxbc75gxY3Dy5ElUVFRg3759mDx5coPtKCsrQ48ePey+fu7cOVy/fh0LFy6Eq6srevfujRkzZiAlJYXbZsiQIRg+fDgkEgkmT56MS5cuNfr5Fy1ahE6dOkEmkyElJQXDhw+HWq2GVCrFY489BoPBgDNnzti878cff8T8+fPRrVs3+Pr6Yvbs2dxrEokEtbW10Gq1MBqNuOuuu2yGVLY3l8Y3IYQQQggh5M70009AVVX9v6uq6h/fe6/z9t+tWzeUlpairq6OS7S++eYbAMCwYcNgNpt520dFReH69evYuHEjRowYAZlMJrhfmUyG4cOHY+PGjSgtLcWQIUPw22+/NdiO4uJiu68XFhaiqKgIUVFR3HMmk4n32HLYokwmQ01NDe9zCenZsyf376KiIvTq1Yt7LBaL4evri2vXrtm8r6ioCL6+vtxjy/f17dsXS5cuxfr165GTk4P4+HgsWbIEPj4+dtvR1qgnixBCCCGEdFhjxwKdOtX/u1On+sfOFBkZCVdXV5uqgQ259957sX37drtDBVlTpkzB9u3bG+3FAoC4uDgcPXoUVWxGacXX1xd33XUXMjMzuf/OnDmDLVu2ONxuIZaL9ioUCly9epV7zDAMdDqdYHLUo0cP6HQ67rHlvwFg0qRJ+Prrr/Hf//4XIpEI77zzTova6WyUZBFCCCGEkA7r3nuBr78GFiyo/78ze7EAoEuXLliwYAFWrFiBAwcOoLKyEmazGdnZ2aiurhZ8z+zZs7F9+3ZER0c3uO+hQ4di+/btmDVrVqPtmDx5Mnr27IlFixZBq9XCbDajtLQUH3/8MQ4fPozw8HB4enpi8+bNMBgMMJlM+OOPP3D27FmHPqdcLkd+fn6D24wfPx6HDx/G8ePHYTQasW3bNri6uiIyMlJw282bN+PGjRv466+/8MUXX3Cv5ebm4vjx46itrYWrqyvc3NwgkUgcamdboeGChBBCCCGkQ7v3XucnV5aeeOIJ+Pj44JNPPkFycjLc3d3Ru3dvPP/884IJRrdu3RAbG9vofkUikUPbAfVFNT799FN88MEHePTRR1FeXo7u3btj1KhRCA8Ph0QiwUcffYS33noLo0aNQm1tLQICAvDcc885tP958+Zh1apVWLNmDZ566imMGzfOZpvAwECsWbMGr7/+Oq5du4Z+/frh448/FizYsXDhQixbtgyjRo2CQqHA1KlTuWqHtbW1WLt2LbRaLaRSKSIjI7Fy5UqH2tlWRAy7AhohhBBCCCG3oezsbPTr16+9m0E6mIZ+72i4ICGEEEIIIYQ4ESVZhBBCCCGEEOJElGQRQgghhBBCiBNRkkUIIYQQQgghTkRJFiGEEEIIIYQ40W1Rwl2j0UCr1UKpVEKlUt2xxySEkPbU1nGP4iwhhJA7lWT58uXL27sRDdFoNNi9ezfy8/Oh0WigUCggl8vvuGMSQkh7auu4R3GWEOJMJSUl6NGjR3s3g3QwDf3e3fLDBbVaLYxGIwDAaDRCq9XekcckhJD21NZxj+IsIYSQO9ktl2RpNBqkpKRAo9EAAJRKJaRSKQBAKpVCqVQ2uL0zNHbMhrRGewi5FdDv9p2lKbH2VouzrdUmQtob/V4TISqVCleuXGnXNuzZswcPPvhgu7ahpZYsWYJ169a12fFuqTlZ7PARo9GIrKwsTJs2DSqVCtOmTRMct29v+5Zq6JjNaT8htzv63b6zNCXW3mpxtjXbREh7ot/rO1tmZibeeecd/Pnnn5BIJAgMDMTSpUsRHh7eJsefPXs27r33XkyfPt3p+y4oKMCoUaPQqVMn3vOrV69GUlKS0493u7ilkiyh4SMqlYr7z9HtncHeMe3RaDRITU1ttfYQ0p5a82+NtL2mxNpbLc5qtVqUlpbS7yO541CcvXPdvHkT8+fPx/LlyzF+/HgYjUZkZmbC1dW1vZvmVBkZGXBxuaVSi3Z1Sw0XbOrwkZYON3EW9u5TUVER91x7tocQwLnDTm6VvzXiHE35ed4qP3s2zmZkZODy5cuQSCTt3iZCKM4SR1y+fBkAMHHiREgkEshkMsTHxyM0NJTbZteuXRg/fjyio6Px2GOPobCwUHBftbW1eOuttzBixAjExcXhtddeg8Fg4F7/+eefMXnyZAwePBijR4/Gb7/9hnXr1iEzMxMrV65EZGQkVq5cCaA+sX/kkUcwdOhQjBs3DikpKdx+SktLMX/+fAwePBj/+Mc/kJeX16zPXltbi8mTJ+OLL74AAJhMJjzwwAPYsGEDAODs2bO4//77ERUVhfj4eKxcuRK1tbXc+1UqFXbs2IGxY8ciMjLy/7H35sFtnef56HPOIRaS4gIEBghJNEmBFLgosjbKpEjKpa4oxfK+qE4nM13SmzTLTDJTN80ySSZNM7Y7SdpO03Sc5KbpzK/Optj19W1kKWpZq9ZuarFkiYJCihEBEhJBgIIIEIcAcXD/YL5PZwUOSHCReJ4Zj0Xg4Kzfeb73fb/3fV784z/+I4aHh/HCCy9gy5Yt+PznP0+3P336NHbu3IlXX30VDz/8MHbt2oW33npL89z+53/+B0899RS2bduGj370o7h69Sr97oc//CG6urqwefNm7N27FydPnsz72peVu5lv+sh80k0KCXH0CQCsVitaW1uNCJSBJYPetBOyMmC1WsHzvOZ7tFzeNQOFQT7Pc7k8ezHPptNpVFRU4IEHHsC2bduM8WhgSZBPep/P50NfXx8AaI7Z5fKurVi8/xZw5TdA8x7goScLuuu6ujpwHIcvfvGL2LdvHzZt2oSKigr6/X/913/hBz/4AV599VXU1NTghz/8IV588UX8/Oc/V+zr29/+Nvx+P958800UFRXhr/7qr/D9738fL774Ii5evIgvfvGL+Kd/+ie0t7cjFAohFoth586dOHfunCRdcGpqCh//+Mfxuc99Dj/60Y/g8/nw8Y9/HA0NDWhoaMA3v/lNWCwWHDt2DIFAAH/+53+OtWvX5n3tZrMZ3/72t/Gxj30MO3bswG9+8xsIgoBPf/rTAACWZfHlL38ZGzZswM2bN/GJT3wCP/3pT/Gnf/qndB/vvvsu3njjDQSDQTzzzDM4f/48vvOd76CyshIvvPACfv3rX+OZZ54BMKv2NzExgXfffRcXLlzAJz/5SWzYsAHr1q2TnNfly5fxla98Ba+++io2bNiAt956C5/5zGdw6NAhBAIBvPbaa/jVr34Fl8uFQCAAQRDyvvZl5WQB+aeP5Lt9PtDbw8Xj8eDChQvUAOB5HqdOncKaNWsMkjSwJMiVdkIm/KGhIaTTafq53FCQvwN6xrPR++jeQD7cuRx5NhqNYmpqCtu2bVuQ8zJgIBf08CwJYp04cYJy7dDQEPbv32/w7HLC+28B/88fAckp4MRPgP/7ZwV1tFatWoWf/vSn+NGPfoSvfe1rGB8fx86dO/Gtb30LDocDP//5z/HJT36Srl5+6lOfwg9+8AOMjIxgzZo1dD+ZTAYHDhzAW2+9hcrKSgDAX/zFX+DFF1/Eiy++iF/96ld47rnn0NHRAQBwuVxwuVyq5/TOO+9gzZo1eO655wAALS0t2Lt3Lw4fPox169bhN7/5Dd566y2UlJRg/fr1eOaZZ/Dee+9lvc62tjbJ37/4xS/g8Xiwfv16fPrTn8ZnP/tZhMNhHDhwgGYjbNiwgW6/du1avPDCC3jvvfckTtYnPvEJrFq1Cg0NDVi/fj06OjpQXV0NANi5cyeuXLlCnSwA+PznPw+z2Yzt27fjkUcewdtvv43PfvazknP75S9/iRdeeAEPPfQQAOCZZ57Bq6++igsXLsDlciGZTGJwcBB2u31OziWwDJ0sAj0EspAkk0+EikSfent7acpgPvnUBlkaKDTEBqmaUhwZ23KIpbTFTpjeImyfz4cDBw4gnU7j3LlzEkPCwPLDSuJZcjyDaw0UCnp5lmVZSRQ8nU4bPLvccOU3sw4WMPv/K78p+GqWx+PBK6+8AmDWQf/CF76Al156CX//93+P0dFRvPTSS/i7v/s7un0mk8GtW7ckTlYkEkEikcCzzz4r2Y6Mr2AwiEceeUTX+YyMjODixYuSQFU6ncaTTz6JSCSCmZkZuN1u+t3q1atz7vPUqVOaNVlPP/00/uEf/gF79uxBbW0t/XxoaAivvPIKPvjgAyQSCaTTabS0tEh+K+6haLFYFH+Pj4/Tv8vLyyUCHKtXr5aU8xCMjo7izTffxL//+7/Tz1KpFMbGxrB9+3Z85Stfwfe+9z0MDAygs7MTX/rSlzQdVi0sSydLz8RbCBWebBNuX19fXgWo5DtyTnrzqXt7e3Hs2DFkMhlDTeg+xFIZddnSTuTprWKYTCZYrVaFE6bXmO3r66PR2nQ6jb6+PmM8L1MsFs+S/aiNxcXiWcDg2vsZy51n5WlGpCbH4NllhOY9sytYySnAXDL79wLC4/Hg2WefxS9+8QsAgNvtxqc+9Sk8+WR2x85ms8FqteLXv/61qsHvdrt110653W60trbiJz/5ieK7dDqNoqIiBINByrHBYFDXfrXwN3/zN+ju7saxY8fQ19dHnbtvfOMbaG5uxne/+12sWrUK//Zv/4bDhw/P+Th37tzB1NQUdbSCwSAaGhoU25F7TtIW5XjiiSfwxBNPIBaL4etf/zq+853v4Nvf/nZe57KshC8I9DSpVNsmnwJUcRH166+/LvmNz+ejRYrALCGqTeTy4xHCbW1tpRN4tnPy+Xw4fvw4MplM1ms1cG8i2xgj38vHht7P9MDr9WLfvn2KyVdcXM1xHOrr69HV1UXHLc/zCidM6x0wcO9iMXgW0H4P9PIs2ZYcU41n5duo/d7g2vsTc+FZrc/nwrV6eNZkMqGrqwv19fWor6/H/v37DZ5dbnjoydkUwT/4bMFTBYFZLv3Xf/1X3Lx5E8Cs4f+f//mfNFXtox/9KH74wx/it7/9LQBgcnISb7/9tmI/LMti//79eOmllxAOhwEAt27dwrvvvgsAeP755/HGG2/g5MmTEAQBt27dolzncDjg9/vpvv7gD/4Av/vd7/Dmm28ilUohlUrh4sWLGBwcBMdx6OnpwT//8z8jkUhgYGAA//Ef/zHn63/zzTdx+fJlvPzyy/jqV7+KL33pS4jH4wCAeDyO0tJSlJaWYnBwED/72c/mfByC733ve0gmk+jr68M777yDj3zkI4pt9u/fj5///Od4//33kclkMDU1hXfeeQexWAzXr1/HyZMnkUwmYTabYbFYaHpjPliWK1nZluC1thFHhbJFZUnEKVsu9eDgoKROpa6uLmeEt62tjQoHkJ4AWlFgsQyxOMLFMIxBsPcRso0xtbEBQNdnajn/ahFcrUJrPcXV4tqXfLBt2zaa+sJxXNZ6GSN1a2mxGDzr9Xo13wM9PEv2R4557tw51NXVYdu2bZLeKwbXrlzky7NkXOTDtbl4Vk08yODZexAPPVlw54pg1apVeP/99/GTn/wEk5OTKCsrQ3d3N/76r/8aANDT04N4PI6//Mu/xMjICMrKyrBjxw48+uijin194QtfwPe//3384R/+ISYmJuByufBHf/RH6OrqwsaNG/Hyyy/jpZdeQiAQgMPhwNe//nV4PB788R//Mb70pS/hZz/7GZ566il89atfxY9//GO88soreOWVV5DJZOD1evHlL38ZAPD1r38dX/7yl9HR0YF169bh2WefxenTp7NeZ2trq+Tvz33uc9i7dy9efvll/Mu//AtKS0vxxBNP4L//+7/x8ssv41vf+ha++MUv4mtf+xp+/OMfo6mpCfv27cOpU6fmfK8dDgfKy8vR1dWF4uJifOMb31Dl+w9/+MP427/9W3zzm9/EjRs3YLVasWXLFmzbtg3JZBLf/e53MTg4CJPJJFFkzAdMhoT2lhBqJJBvrcDg4KCkIK+1tVVzEjaZTGhra8OpU6dovnRHRwd27dqluq2aIXHw4EHJ8UjOtXh7+Tb19fUAICFHYHZZVn4OBu59ZBtH8rFBiEnPZ2InnuTlcxynKKQm3wFQfC8/T7X3T1z7Ij92ruvW8+7mescMFBZLwbPEeFUbp3rHgPxdAZDzfXI6nfB6vZTjDa69f5Evz+7bt083/+7bty8nz8pT/rKNZfn7ZvBsYdHf34+mpqalPg0DS4jTp0/jC1/4Av73f/930Y6Zbdxx3/jGN76xaGeiAkICfr8fPp8PTqcTDocDDocDDQ0NkuI2OcTbCIIAn89HHZ2Ojg7Jb8+cOUOXSQVBgMvlQm1tLfx+PzKZDILBoOTYTqcTxcXFKCsrw+XLlzE5OYm6ujq6P7/fT/fHMAxNQxEEAcXFxRAEAZcuXUIsFqPbRCIRRCIRum0mk4HH44HH46HpWgbuH4jHUUdHh2RyUxuvdrtd12fhcBhnzpzBpUuXcOfOHQCzY4nneVgsFpw5cwbXr1+nqQTk++LiYkVecm9vLw4dOoSRkRH6/oXDYRq9CYfDyGQyYFkWsVgMU1NTkvdA67pzvbvy95Hn+UXrer8SsVQ8W1xcDLvdjitXrtBx1NLSoptnASnXEpB9NzQ0wOfzSbgWmE0/8fv9NMhgcO39i3x5Vmscy7m2trYW/f39OXlWXHBPjinnWp/Ph8OHD+P48eMIBALw+XxIpVIIhUISnuU4Dul0GlevXlUU96tdt8GzUoyPj+OBBx5Y6tMwsIQYGRnBkSNH8Gd/9meLdsxs427JnSy1SVmtQA2YJaozZ85AEAQFsWQjWp/Ph+vXryMajSKTyVBSDYVCtNmbnIBI7urZs2cRj8cxPDyMUCiElpYWSQE1AFRXVyORSEAQBEqSZ86cweTkZNZrN5lM2L17N9rb27MSpYF7F1oTodp4lX8GzKbC1NbWwuVy0c+IsUzymQkymQzOnj2LkZERRKNRifPPcRw6Ozsl5+Hz+fD2229LAgQ8z+PkyZPw+/0IhUKSgMD09DSGh4chCEJORysXBEFAf38/3X80GoXL5TLegwXCUvLs4OAgAoEAgLtGajaevXbtGlatWgWHw4EDBw7g7Nmz9BgMwwC4KxwwPj6Ow4cPUyNYCwbX3t/Ih2fln9fW1iIUCsFut6O5uZl+durUKVWetVgseO+99xAIBHD79m2wLAtxQpA8+EACHOPj4xKu9fv9GBkZkfAsMFuLE4lE0N/fP29OXGk8azhZBgwnS4ZckVECrUis+Pu+vj7wPI/Vq1erEhzLsvB4PNi9eze8Xm9OAjp06JCEYEOhEARBoAWGBJOTk9ixYwfMZjNu376NO3fuIFcWZn19PT0PAysTaoYB+SwcDtPxHgwGqYEgNpbFYBgGiUSC/p3JZFBVVYWqqirY7Xb09PTQ9BRiQA8ODio6ylssFkSj0aznzfP8vFcCiHEdiUTo+aoZ/tkMfgP6cS/xbCwWg8/nw82bN3HlyhXJ+TEMA7fbjXg8jnA4nLNBpNvtRlNTk8IhNLBykM0BEwQBR44coeO9ubkZ7e3t6O/vV+VZlmUxPT2NmZkZALO8VVlZiQ9/+MPweDySYJiYZ9X2lQtanJgPVhrPGk6WgbVr1y6qgwUscycrW2RUjGyRWJIzHQ6HJRGgcDiM3t5euqJEUkba29vpsa9evUrTTEiUlUzcZrNZIYXJ87wisgXMNnwrLi6mEdtssNls+MQnPiExUAjBkVSwe53sDMwPWuNdzVg2m810EhUjkUigp6cH3d3dcDgcCgOapMuKUVZWpjq+xdiyZYvmSlY+k7XFYqHGt9ZKWzaD34B+LDXPqhl6giDgzJkzMJlMCIVCkvMQBAG3b99WdaBKSkoknJ0Njz/+OF29MnjWgBz58uzExAR1sAimp6dpCqo8QEZ4NhgMZg0GAHdXaQnUOJHA4Fl1GE6WgaVAtnG3YOqC+Sja6Olwnk0JS65SlU6ncfToUdy6dUtBbFarlf67t7dXovvPsiyGhoYwMDBAFQNLS0up0WkymeBwOBRNzcRKVeQcOY6D0+mk29y8eZPWJOzdu1dyn8TKWeT8jT4uKxvi8c5xHCYmJiTy1WI1Ky2Qhpdi1UyxClcwGERVVRUdmxzHYWxsTNNwraiowMaNGyUCMeQdB4CjR4/S9+ncuXPYsWOHRG0rX2iphhlqWXexXHlW7qibzWbF9+KC/OrqaoyOjkqEWuTGLDDL0V6vFxMTExIRo4GBAUSjUSQSCWQyGTAMg87OTlWBAoNnDRCoqWcePHgQHo9HlWfVHKVMJpOTZ2tqahCPxzE2NiZ5h+T7IXC73XjkkUcUfAfM8izh7LNnz6KxsRGlpaUGz/4egiCAZZdldyID9yFyBfoWZCVrISIj2SKxfr9fsuLEMAwmJydVLz6VSmHr1q3w+Xw4dOiQZJtMJiPJmR4eHqbkwzAMduzYAZZlMTo6KtkniWJdvHgRkUgEdrsdDz30EKanpxEIBDA5OUlTaEjaFoE4kiY//nxTBQzcu3A4HEilUohGo5ienkY4HJYUS8fjcZw7d47WX6lBLpRhtVppRJXjOJraSnqz2Gw2iViGHNXV1XjqqacASN/x/v5+KlpAkMlkMDw8jNHRUXre/f39ksjrmTNnJLU68vGuFk2WR4nv5ajrfLGceTYUCsHtdtMVpKNHj0q2i0ajkkat4hRrhmHgcrlUa1o7OzuxZs0ahEIhcByHrVu3AphVd0omkwBmDdTHHntMktJq8KwBNRCe5Xke1dXVuHjxIuW0RCIBm82GEydO0PorcZ0rAVkdysaz4XAY09PTaG9v18yGEaOqqgrd3d26eDYUChk8+3skEglMTk6iuLgYLMsqVgcNGCgkMpkMwuEwBEGAzWZT3WZBVrKy9a3IB3ojKfJofnl5uabhGQwG0dvbC57ncy7fi5HJZDAwMICpqSnV7w8cOEDrB6LRKI00EYiPRSJlXq8XHo8H586dU0S3OI5DIBDAa6+9JulxZGBlwOfzUflpglQqhePHjyvGbTqdRkVFhWTMW61WamTKWxfwPI+BgQFMTEzQ39tsNng8Hty4cUNX3xbxO64VmRWfNxGKEa8c5OrTpNZn5uDBgwXhlvsBy5lngdmIO+mHJR+zxCFSA5m45AYty7IIh8OSmlixABHBrVu3MDIyIrkmLZ4lqxevvfYaABhcu8Ig5tnx8XE6TtPpNAYGBjA4OChxyN1uN6ampiTjnmSsqPHsxMQEBgYGAIA6c7t27VLIvmvB4Nn8sHbtWoyPj+PGjRuqK+EGDBQaVqsVa9eu1fx+QZwsPU0us4EUV5N+UiR1j5ChuHkgWc4nqn4cx2Hjxo04ceKEJikdO3YMnZ2d9DdqMJvNCkNAnFooxunTpxXbqkV3xSkyYhKsq6ujRAzM1hxMTU3R4w0NDWn2ODJwf0I8uYqhFRhgWVYynnmex/Hjx+FyuRSpK263mzpYBOTv5557Dn19fQiHw5JtWJaF2+2mAQLxO64W3WUYBizLSiS0yTmQCVtPs055itt8ueV+wmLxLEkdmpiYoP0A9fBsMBiEz+eTpGjrhZoTJgiCQghDjWcFQVA1NuU8W1FRgZKSEkngwuDalQUxzwqCoOAy+fiKRqPYunWrZNzfunULb7/9toJnP/axj+HAgQOS3w8MDNBURDWeBUBT3Xw+n+QdJ+9eNqx0nmVZFk6nU1KqYcDAUmJB0gX1FlmrQUvulOd5ukwul5oeGRmhKSAsy6KtrQ2JREJVDIDAbDbDZrNpbuN0Oml+fy7kijABsy+/y+WiPTXEaSoWi4Uu13Mcp+qwGSktKwtyRTabzYZkMqk5Hnmep46NWHY9FotJPrt9+zZCoZDCgYtEIvD5fKioqMClS5cwNTUFlmVRUlJCFd2uXr0qSaVpamqixeBiVFRU4Omnn0ZlZaVCWEOubCdX/spV0K3GLfeLMla+WAyeJQIV8m318izP8zCZTIoUazE4jtPFs3ohHu+5eFauBGtw7cqCOFUOmOXZ4uJizVrXVCqFkZERFBUVSQJI09PTku1u376NqqoqnD59WsK1PM+r8mxlZSVYlsWqVauQTCZpenhFRQU4joPFYsHU1JTiPXE6naipqVH06jJ41oCB5YEFUxfU0yhPDWoS1SzL4sEHH6RqUyaTCZWVlZRYxDn2ZJK02WyS+gGHwyFJ9YtGo2hubtZU/bHZbHA4HLDb7bDb7aqGhNls1uVgAXfrDMg5i0lQTGhWq1X1WB6PZ969iQwsDAo9+ZAVBvE44Hk+pyEqfg/EKC4uphM92UZtzAuCgPHxcerkZzIZpFIppNNp3Llzh/4mk8kgEolgZGQEZrNZUiPAMAyefvppeL1e9Pf3SyTinU4nHnvsMYkYgfi+yWuM1OoLACm33E/KWHNBIXk98mMDAAAgAElEQVSW4ziUlZXR4JK4z5V8W708e/v2baxbt06TZx0OB9xud1aeLSkp0ZVaBcyOv7Vr19IxmY1n1eoPWZZFV1fXihpD9xIKzbXhcBihUIiqVfI8n1VMCJgd+7nmfZLyqtbORY1neZ6n6YTyuvBIJIJYLKbYj8lkwmOPPYZYLGbwrAEDyxRLLuFOQIhAXDRKIpKEsLxeL2pra9HR0YHVq1fTSD/LsnRb0qn94sWLkuiSvJYqk8nAbDZj9+7d4HmeNtAkuHPnDiKRCHXGAoGAahQpVwGr+HgkEswwDJxOJ2praxWRJnG0VQyXy2VEV5chCj359Pb24tChQ1kFKIC70Xr56pUcJpMJdrudGhGAdsohAN3GLHB3pUwMIgJDjiMuqCYTv8/nw+HDh3H8+HEEAgF638TGvCAICAQCGBkZyXpf82mya2AW8qbBHMehqqoKsVgMk5OTVC2V9Lny+/2aK5Lnz5+XjIGpqSnYbDZqqGYyGUxOTuKJJ55Q5dmpqamcPFtTU6P4XTYQMY658KzH40F3d7f+m2lg0VBIrhVzUK5G1gBy8qwa1Bwjgnx4Vu1cxH02tXgWmJ1P3n77bQmPGjxrwMDiYcmdLLnBFQwG0dbWRvtOiXurEFW1kpISTE5O4saNGwDuyvoyDIPKykpcvnw5ZzQKmI2yVlZWYmhoSNLIVQzijDU3N0sitizLYmpqiuZx5wvScJNEkUgaFuk6LzZIsjUPXelYqhQGctzr16+rpoDOdZ9vv/22romcGMJ79uxBS0sLLbIWo6KiAlu3boXdblf0eyPIZ5XAZrOBZdms2+/YsYM+h3A4jKmpKdjtdmoQaKWpFRcXw+PxSFIk9SjA6W2yu9JBxqvf78eRI0ckTYN7enowPj5OHXsSWZ+cnITP58P58+dpMGvt2rWwWq3YtGkTJicncfnyZcWxBEGQRPp5nofNZsOtW7c0DdpsPNvc3Ay/3z+nlELCs06nE+FwGIcPH8alS5ewevVqVZ7dvXu3MX5UsNQ8K2/qOx+uVeMgLRCHRotnGYZBdXU1rFYr7Ha75vjOJ+vFZrPBYrEoUhDF2LNnD3Wk1HiWXKdYQdngWQMGFh8L1idLD3p7exXqUGTJfN++fTTiKo42RqNRiboUMFsTJSYNvRAXSGfD6OiogvCsVitdHdNzXLfbjfHxcYVanPz4pFB727ZtAGbFMkpLS3Vf00qCuPfNYvW7kYsFcBxHBSfmWiBM1N0mJiZ0j2HyTpDrHRkZkRT1A7PvyrFjxzSDACzLoqKiQrHKazab8aEPfUihkDkxMQGO47IWYPf19VExGiKgYDKZ6HhWE/QgEvLyc2MYJud91VPUvdIh5llxYT9RlfR6vejr65P8ZmpqSjGeSNSbZBZoGY1qohVnz57VVGYlIE6e2MAUBAEDAwO6DVQtnhW/s8BdgQuDZ3NjOfAsEWUxmUzzEnohPKs3sETeFTHPDg4OSr6Xr/LKQcod5O+TxWKB1WpVKHQSns0mzHX06NGsPAtAVdVTLkJj8KwBAwuLJXOyfD4fjh8/rtpzQtx4tbGxUaEopYa5Fk7LfyduPkwwNTWlMBByGQxiMAyDqakpNDQ0IJlMShxH+fGJQSCX0r5x44bm5JZLgvlebSqYC4WSsNYLsbFBkE6nUV9fTyXQ8z2+2AAWT6wMw6CpqQk+ny+ngenz+RSBBwJ5nRZxkBiGQUdHh6piZjKZxK1bt1TfKXK9oVBIVb6bjG2xI0bGtFxOWHyOgLTZrSAIuu+rnia7KxVyniUrUuQZEaPL7XYrjEA1iB20fCCXUy4qKlJ8NjExoViNBbRVXeUgqmwkwk4avxLpd3kj5Xx5FliZXLsceJYEX+dq6Pt8Phw4cICOB7EasdPpzNokWLwPLZ6VQ86za9asUbxf09PTmqtVuXg2GAwiGAxq8iwAVa49deoUampqDJ41YGCRsGTpgmfOnJEUawKzy+QkR5+kePj9ftViaHF0vrq6WrVxpcPh0EwDJL8TL+8zDIPi4uKsy/RzxfT0NEKhEFUiylZDIxb1INBays+Vp34/F6wudgqDmlgASTFqb2+nBcLytBqtz9544w1JuhURE6ipqcGePXuwc+dOmjZbWVmJZDJJVwlYloXZbMbVq1fx29/+VlEbpQaWZdHR0QGz2QyLxYJIJIJwOKwa1dUanyzLYmZmBmvWrEE4HFZsJ09BIYhGo3C5XPB6vXA6nbh+/bpEjIPneWzYsIGuSHMch56eHtjtdhqRvV/G7WJCzrPEeSdcNDIyApfLRRuaZoOYZ8mKJnnOFotF00itrq5W1FRVVFToSunOB6RGkPxHBDDI+BKD4zjYbDbdPAusXK5dLjxLVO4aGhpo4189PHv48GH09fVJhCZMJhPq6urQ09ODvXv3FpRngdmm2WazGXa7HclkEufOncvLrsjFswRaPEuEXm7evIlQKES/FwQBdrsdk5OTNNDS3NyMPXv2qN5TAwYMzA+L5mTJCVBM3CzLoqmpiUqxA3flhIeGhhSTs8fjQSQSoZ+TAlNSM0D+TqVS2LFjB6LRqILgurq6YLVaFYbFQjhYYmRTiXO73Xj00UexevVqRVG2fHLTWxN0PxeszkfCei4Qj1mS4ibPgZcbWeFwWKHkdOTIEZw6dUp1wk6lUohGo2hpaaETZUNDA1paWtDW1oaqqiqEw2FMTk4iFotR5Sk9yGQyqKmpwaVLl3Dnzh3EYrG8C7BJkEA8cWtBLoDA8zw2btyIcDiM8+fPS7a12+1YvXo1rly5Qt/lyspKHDly5L4zWhcSuXi2s7MT0WhUUutKaqbEtVA2m40GvdR4tqOjA9XV1TR9kKSeyp0ZwrNiR6+0tBSxWAwNiX60xk6jOulHY6IfLASEiwr3fLPVxzz//PN58ayemqD7lWvvRZ51Op24ePEiDh48iEgkouC5dDqdk2d5nkckEsHk5GRePAvMirVcvnwZ4+PjCIVCedsVajzLMIxq6rcWz/p8PrzzzjuSbRmGwZ49e1BRUUHrHIPBIJ2XDK41YKCwWBQnS0yKROSBRKuJ0IPf71eQmMViUUyU27dvB8uyCAQC9DNx9NxqtdL9CIIAl8uF7du3K2q2wuEwpqendasD6oF8ZSxfzMzMoKysDKFQCGVlZWAYBjU1NVRRUW2SiUajEmVFeZTxfi9YnauE9VyPRYyNzs5OdHd3S457+PBhhcM7MTEhMbyGh4dzTtZkRUsQBEVkMRwO4/Tp03O+Bp7n8zIW5gMiHU/eu0gkglAohMuXL0veOzLxDw4O0vdaLL4A3F9G60JBjWdXr15NnZ8HH3yQps6Jx0A6naZOO4HNZsPatWslzpGYZ81mM0wmE/1eEASsXbtWsWIVDocxNjamSP1qSPRjf+QAHkwF8GByGGtTo2hOXAGXmYE5k0Rr7LSq08UwjMSozAWtesTKysq8eNbn86G2tpYq3640rr3XeDYcDucsM8jGsw6HA5cuXcraAy4bxNwFAN13/ht7bx9CuXAHv7Osm9M+tcBxHARBoO/d7du34fP50N/frxr0aG1tlbTX0OqPZ3CtAQPzx6LUZIlzutPpNAYGBmh+MsdxkoJkMcbGxhQd2N9991243W7NYzkcDlrYynEcAoEAJiYmUF5eLsn3j8fjBXWwAOQsgCVgGAZFRUWK6BrP84qc74mJCbS1tdFiW6/Xq7if2XKqjYLVwkIrL93n82FoaIj+zXEcbUeQTSiCQDzOyW/Vis0HBwfnXH8IzI57+Tu1UBAEAU6nU1JTIzd8GIZBZ2cngLsF36QI2+v10nd5rqIiKwlqPEvGZDqdxtjYGIC7tUsE0WhUERwKBoOw2WyaxxoaGoLb7aZCBAzDIB6Pq/KsGOv5q9ga70PN9O9QhFnOJ24QBwGdsXchgEMR0tg8dQGv25/DNWsjgFklzEQioVq3pQaO46iipbweK1+e1VMTZHBt4TBfnpWL9qghG88CyNlGQwvr+atoGDyEBMwwpxOoSt3Egyk/GACu2Biapz7Akcq9dFzPF6lUCnV1ddSmEgRBUcdIeHbNmjU4ePAgrFarRETE4FoDBhYGi7KSJe+qLoZWA1XyndvtVkTeY7GY5tJ5UVERHn30UcVSf775/1evrsfp060QBBYOhzbZ5ts7gyCX0S3ezu/3S/pYBAIBSRpBVVUVnn76aUV9AInOZctjNzB/+Hw+9Pb2SsZpVVUVrl27llMm2O124/HHH4fNZkM0GoXdbse+ffsQCoUUqUeCIOD69etzjq4C8+vPki+cTmdWY8fpdOKJJ55AeXk5lVQmsuK7d+9Ga2vroqYp3etQ41k1ftXLV/KUUDHfZjIZuFwu1NbW0jTDWCyWlWfX81exP3IAD6TDKII6/zEAWPw+2AABU0wxBqzrYTKZUFRUpKpcmA2RSESXSIcenq2srMTOnTsVKzpyriWphQbPFh6HDx+WOD96eRaYXcUhPddy8eyZM2doGl0+IGN8bdKPB5M3sDY1igrhDg0kMABKMjwaE/24ZXIVJD129erVqK6u1mzTIedZv98vaZXT0dFhcK0BAwuEBXeyiNpSbW0tzGazIp2E4zjNyDrDMNi0aRNWrVqlWgNSWlqKmpoaSWQzFovh+vXrSCaTWUUvsuHq1fV4/fXn4PfXwOfzwukcUzhaZWVlmhLY+SCXkya+N2QSCAaDinQr0gAW0J+zvpINgEL1fSH3WpwaYjKZ8MADD0iK6slzJo1fq6qqsGfPHtTW1qKvrw+XLl1CIpHA9PQ0mpubkUgk6ORPGmyT/kaFQq5Awlz6v4mRTCY1jRSO4/D444/D6/VKalkymQw8Hg/a29sBgNYVyY1WPc9vqXr7LBVIvxyLxYJEIkHHm55AEMMwcDgcmlzmdDoVfYCi0ShGR0d1G6KtsdN4MBXIuV0Gs8ZoEiZ8sPpRxMvWqqaO68FcA2B6eBZQcq1R2yJFId9BuVImUQZU41mSrknEJ1paWhAMBnXzrN/vV6hf6sGe6CE8kJ7lUrFjJQeHDA0gkGuZa3aB1WpFKpVSDb6xLKvKs6SUYt++fZIUSYNrDRgoLBY0XVAsxWoymdDW1ka/c7vd4Hke8XhcM3c6k8lQyVE1xONxWhsgjnCqSa7ng8HBdUilzACAVMqMwcF1aGy8JtmGGNVakVuz2YwHH3wQbrcbFy9eVJVhBZQrWnKHk3SaF/exsFqtNPUHgKSGQN4HhEjukn+LP1up0apC9n2R931yOp3YtWsXAFB5aDL2eZ6XpBH19vbi+PHjkjEglvAnggLkt4VchSKBhFTKjAsXNuO5515XjPH5phTqXT0WSw3LWzioPSsAOZ/fUvT2WUqIr5cYn6WlpbRvztGjRzWl0AnnZFshdTgcCjVYPenW4hSu61YPtk2dBaexigXcdbDSYHFqVRv6UqsBDe4kcLvdqK+vz8qzcpSVlUkCI/nwLKDNtcTRIn8bPFu4d1Dc4gEA6urqsG3btgXj2bnwn96fZABMs3d7VuXbEkGMsbExzdRGcaBMzLMmkwlWqxUHDx6k98rgWgMGCo8FdbLkOe2kH5C4ad4vfvGLrPtIpVJZlcz09NDKFx7PdVy4sBmplBkmUxIez/W895FMJjEwMIAbN26gra1Nd38NObELgoCSkhKsXr0a27Ztk+SqE0N0165dCiNLrUGumGAXK+d6OfaNKWTfF/nEtWvXLrqvbPUZPp9PtRG2yWSi5wXcLUpW63kyH+gJJCwkSJ8i0lCzpqYG8XgcY2NjtJaorq7u9+eXf8BgsXv7LDXk9VjBYFDCszdv3tT8rXilXAu/+93v5hS4Ejdtv2ZtxKBlHdZPK/txZTIAw0jrsyyCPic9GAxifHw8L56Vt/zIZDKwWCw5eZb8rcW1S1Xbcr/zLKDkWvKclhPPnlu1DfWR65JAAhnbYjAA1vED+J/y/2tOx5FDy0lT41lgNjBBmhifO3fO4FoDBhYIC5ouKAgCVfVTS3vTW18yX1l1ef1WrjQohyMMp3MMxcVT6Og4MS/jUxAETE5OzqsnTCqVwsTEBDZs2ECX4uvq6tDa2opkMqmQcicpVx6Ph+ZXL7YML7B8+8YUUgUs233Npsil1icOADo6OtDY2Cg5v9raWpw/fx6pVApms7kgjpYgsPD5vBAEDiZTEh0dJ7LWHhYK5N1jGAa3b9/GyMgIhoeHEYlEEI/HJU26I5GIRD2TZVmsW7cONTU1OZ/f/az0pga/30/l1Any5dlsmMuY4zgOpaWlEu5LsmZ4Ez5wEOiqlZoRmgaDY2VdumtWCsWzkUgENpuNGp1ynpVLucu5dilqW1YCzwLaXLsQPLtq1Sokk8m8V7PCRQ6snvbDkb77vmmZG6uEOG6aqgratuDuMbV5dnJyEhzHSewFwrXETuM4Dp2dnbDb7QbXGjAwDyyok0VkVImBJM+XHh0dnffkrxdi0qmqqsopY+1whLF+/UBBDM+ZmRndQhfZEA6HsXXrVvp3Nil3cYNcgsWU4QUWtm/MfHLA9Tic+ex/LvdVSwzG5XKhvb0dTqcTPM/DZDLhypUrmJycRCqVKthKViEDCXpBIv1kZVrNgJHXD2UyGVRVVSEej9OeLs3NzWhubtZ8fuI6UFLYfT9HVn0+H44cOUKj2UvJswQMw6CjowPpdFpy7HCRA2MmJ6aYYqTBwSQkETS7USrEwf1e8EIAg+OrOnG2dHtex8xmFOdTXzg8PAy32y2pSckm5S7nWoNnZ1FoniX7zOfezpVns/WzzIUka0ZTop8KuJBgghwMIKnLKhRy8ay8ITGBWCSHZVm0tLTQ5vFqz5A8O9KGxxDNMGBAiQVzsuSKa2qrKxaLRdG/SnJyWUQx5oOqqirdMsBzQVFRkYS8SL+g+YLjONhsNl0R1eVAdAsV4SpE5DbbZF3IyLDciBBPTBUVFRJFKI7jUFdXh/7+fiQSCVy+fFl3jclcoDeQMFcFTTFIo22/369p8JtMJuzYsUMikENERMhviBHZ3t6u+vzEzy4YDC6bd2EhIe4bBCArz6o5GwvFsy6XS9HkGJh1tAas63GhdAtOlHXiQukW3DK5YE7ziBTZcaRiT94OFjD/GkIxeJ5HIBBQbUJMHPflYlQaPHt3f4RriZKuFs92dnYiHA6jr68PQ0ND8+pvKUe4yIFbJhcsAg82k0Zx5m4mTgaAAIDFrLDLibIOupJVUlIChmHmVZ+ll2d3796N5uZm8DxPuVbM86SHGHl2aoqa4mfX3NysCOoaMGBggWqyxDnrBOIcagKv14v9+/dToiN57eLi1b6+Ptr/AZgVlJjvylA8HkdJSUnefbKam5tprVU2yFWJyDmrpT1yHAdAPadabvisWbNGUmDa1tYm6XUhv79LDbV8+XxrB9S2z5UDLv9NvscsVI65+D04d+4cnE4nxsbGkE6nceHCBYWgi9PppHnyywkdHR3zPi8yvuXvXElJCbZu3aooVhc/M0AqIpKtzmWl1Qeo9Q3S4llSl0GeJXHqt23bpuDZoqIipNPpefdku3Yt9wppcXExrqGR9g2y2Wxw/773Ub7I1pOO1E7l+g3LshgaGsLAwIAqz5JxulzG1XLhWa3PtFDId1XMte+99x59pmo8S1JBDxw4MC+HJhuuWWfH83r+Kp6LvA4zUhAAXLE247e27VgdvYzrVo+kV9aTTz4JAArbKR/ky7PisSLmBoNnDRgoDBZkJUucvgDMGo+PPfaY6kvocDiwceNGzMzMgOd5bNq0Cbt27aKRE4vFQlMOAcx74gdmZd7nQmIVFRUAoJChzwWe55FOpyVRZI7j4PF40NPTg5aWFoyNjUmIkfS2sNls4HkeW7ZsAcuyyzqiqgZxFMzn8+HAgQMIBALo7++Hy+XKGvnq7e3FoUOHJL1riMysVuS2EJLKhYoMy6XJY7GYpC5RnLKhJvu+mGAYBs3NzfQ9JGhubkZDQwNCoRBdlZ7LylY8HofP5wPLspL919TU4KmnnlJESsXjJp96wpVWH3DmzBkEAndl0T0eD7q7uxXbkfuZTCYxNTUFu92Onp4edHd3U54VZxUUIr05FArpqqeV9/KyWCyorKzMm2fJvliWRXFxMZ0rWJZFZ2cn2traVHn28ccfx4YNG8DzPOx2O2w2G1VrM3hWH8/OpU1IId9Vuc2RjWd3796No0ePFnT1Sgvi9NhjZTtxvPwPsL7rCfzWUo+hKTPdrrm5GS6XC4ODgygrK5vzPEB4tqSkRFISocWzwN2xU1dXZ/CsAQMFxoI4WfIXUMvBIiA1BZOTkwgGg5SwyXL/8PCw6mRNXm4iBa+F6urqORGqXCxjYmICkUhkXqk19fX18Hg86OzsRCaTQV9fH8xmMx566CHVe0YKr+vq6lSJDQAmJiZgt9uXPcmJG0lmMhnwPI+NGzeqbuvz+fD2228rxFLIJEEmg9raWoRCIZqOJ69P4HmeKonprVcolEhItibc4pQNcpxMJqPZUJKAYRjU19fT+5cN2Zwhte9u375NHXvSsHPt2rU4cuSIJG1RK+0sF8jzEJ9DT09PQWsxlkLgZSkh54Tdu3dn7WVDmj5PTk6iublZwrOJREI1xYhwjcvlosECNVgslqzN5bXwoQ99SKJcOD09PS+ezWQy2LRpE7q6ulBcXIx169YhGAxidHRUUU9FeJYE+zZu3AiLxWLwbJ48W1xcjImJibxqwwr5rgqCgMuXLys+V+NZADh9+nTOfXIch8rKynkLb5H0WJIWGAwGsXfvXhpArampQTKZxPHjxxEIBBAOh+cVSBYEAWVlZZL3tKWlha7gZYPBswYMFBYLki6YS1ZVDvnSM+lfQdLirFarZPuysjI0NjZK9i3uZ+JwOHDnzh2UlpZi7969kpz6fFBVVYVoNIqZmRlJH665RnlZlqWpPL29vVRueGxsDF1dXfSeWa1WKp8KgH7G87wklRLI3cNisZFPuoiWY0zq+cQTDcuykvQFr9eLkZERKs9LZGjdbrcktUdLUjnXeRYiHYi8B319fbh+/ToEQaAKeURaW/y89dQJknuSK2jgcDiyih2ojWGS9uHxeHDixAlEo1HVlC258VtUVKSrcac8LWvdunULMl6XUyrXQiMfrs3Fs2SlXoz6+nrKWT6fD+fOnaPfkRWjVCqF+vp67N+/H6+99lrOdGo56urqUFxcjJGREcn4mA/Piu+FOC1saGgIO3bsAM/z9zTPAvq5NlsAsq+vryA8q9UmZDF4luyns7OTnmcuntXjxKTTady+fTvrtqWlpUgkEnmNVcKz+/btAwBF2wFBECjHyrnWbDZLbBE1EHl6MeajuqmFlcSzBgzMFQvWJyufF1De/wKQ9maQE1gqlaIEBSgJhGVZPPvss5Ljnzt3Lq/8a5Zl864JyBV5FX/n8/kk3/l8PtqHRVzHA0jrtUwmE53kDx48uKzyonM1Jdy2bRt1NoDZiF5vby+9bvk+xFBTNhJPTul0mvZXEhtRcoNJq+lioe6b3Kgg+yV1MwzD0Ilffp3injtiuN1ujI+PS96PXGM5W22KFohh1NfXp1kjWFVVhfr6eknuvsPhkLwrbrcbpaWliMfjKC0t1Ww87na7s57Pcuz9sxyhl2tz8azcyTebzfjYxz5G/5Y3gy0rK8Ojjz4qObbb7c7LyTKZTLh582ZeQbB8eFZ+zul0mnLBvcqzQHaulfPszZs38dprrylq9eT1fIA6z4r7TGnxLHlPxQ4/sHDOqRo3rFmzhjaUngvPOp1OeL1eym16OJTwXD4QO6Bqfd0YhkFTUxNKS0sVdVIf+tCHJFxrs9loL836+nr6PI4fPy653mz1VQbPGjCwcFhQCXe9kC89r169WpKu4Xa7JZH79evXo6Wlhf4tT8sixlw6nUZdXR0cDgeuXr0qWT6vqKhQTQOw2WywWCxZIz96a1JKSkoUzgJRrTKZTJImy1u2bEFdXZ2ijkdNfpWkYSy3vGh5Conf74fNZpNIG7///vuSeyuXS5bn1hOQlAqiHnX06FHVtKVMJgOz2YwNGzbQWiyiMkf2L+4pVkjJYy21LHHdDFFtEqfWiM+9vLycpm4Rdb1HH31Uku4ifj+0YDabdUcvSQpiU1MTQqEQRkZGNH87PT2Nhx9+mKaaAbPGSSQSof1VHnroIaqMGI1GUVRUhA0bNigUr8xmc9Y0plz1HfORl16JyJdnvV5vVp6dnp6W8CwAnDhxQvKMnU4n3G63YlXVZrOhvLwclZWVmg6WHp5lGIamXYlBeNZqtWJkZITuhyjLyZVZ7yWeBZRcK27vocazkUhE8R7J6/kAJc/29fWproir8axYZS4cDqO3tzfvVG09KATPVlVVgeM4pFIpyrOPPfaYpM8ZSTNdKJ69dOmSZurt7du3ad+1VCqFaDSKiooK1NfX0/HMsiySySQSiQQSiQTl2WvXrlFuBmYzcvbu3ZvXvVTbzuBaAwbyx5I6WeIXF7ib8y7vzdDT04NQKITJyUmsX78e+/fvl+yHGA/iouZMJgO/34+qqiqEw2FFDrbH48Ht27cVqlKEtLJBb770pk2bUFlZKXGmSGPASCSCyspKWCwWbN++na7miCd0juMUhoZ4ktfKi54vIWrJjmv9TSAIgqR4fnp6WlF4ffLkSYVzK5581ZqqArNiIxcvXqSTARETUUM6nUY0GpU4UjzP4+TJk/D7/ZIUENKEsr+/P+f1ad0fAq1+NWpGmrjJoxjT09OIx+NobGxEbW0tdQ7FkUby3HmeV01nYRgm5xiWw2Kx4Nq1a/D7/VmNBnJdRGJ+enoaoVAIJSUlqKmpoe+q2IAlBp7JZJIYFXa7XdPJytX7Z7k2YF2OEI9Xr9dLZcnl/W0KwbPiVQ9gNnjU2Ngo4QWGYZBMJhGLxbKmverl2Q9/+MOaPDsyMgKn04mysjJUVVWhp6eH3oPlxrPyz0i9nNr+BUGQCELFYjEIgkCdXTWeFb9HPp9PtUm1nGfJyp8a1Hi2uLgYgiDg9ddfp/M2SPkAACAASURBVA4WuZ/LhWc5jkMsFgPP82AYBh6PB7t371aoMhKHq5A8m06nMTg4iEAgkLVXp/heHj58GIlEArFYDMPDw2hqakJtbS2Ki4sltXdaPFtVVTVnngUMrjVgYD5YMidL/OL29/fjypUrCAQC9CX2er2SAsyWlhZ0dnZKIqtiOBwOlJeXSyYeYNaAv3TpkoTwgdlJuK2tDS6XCx6PBy6XS0Ja+cDtdqOqqkpCxGKFK/FEJu5DwfM8ZmZm0NbWJilAJ4YPud7i4mJ6jvJ0Dnmh6nwJMZc6Xza1PofDoVitEPfbAICpqSmFuEMikcDAwADGx8dx6tQpVefJbrdT8QVBEGCxWDQVIqenpxWOVGVlpaTDPTD7jLxer8SoEF9ff38//H4/LBYLvUYtJS5yXmoRbzUjLRwOU5W3lpYWhXhLOBxGV1cXAKg+z3A4TGsBcjXW1gNipOlBSUkJhoaGJEYciba2tLSoGjaCINAaR7LilU30ItfqgZrAiZYhsZKR632W97eZK8/yPI/R0VEFf46MjKClpYWOcbvdDrvdvqg8G4vFMDU1hebmZpSXly9LnpWr86nNiXL1zfPnz0vewWg0ira2NgDqPAvMcm08HseRI0cwPj6uELBR41kt4Qc1nu3o6FCtgW5sbNTkWfK32AFbKJ51uVxIp9PUHshkMrDb7eju7lZ9JqTPnJb4Vr6Ynp7WHTwgqdtyfg+FQti5c6dqRkOheRYwuNaAgflgyZwsrbS4uaQVkIhXIpHAnTt3JJE3j8eDoaEhhUEuCLPSvPv27UMymcTExARsNlvO9AA1bN68GU899RSqqqrA8zwsFgumpqYQDocRjUZplFQt/SWTySAcDuPs2bOqho9YXlWP6o+eyFQ+v5er8+VS67NYLAqVp8rKSmq01dXV4dq1a5KJg+d5RCIRDA8PS+692+1GSUkJtmzZArvdTle4TCYTtm/fTv9mGEZxb8VR8x07dqCxsVExIWUyGSpprXZ94uggMYK0lLiA7IpL4XCYrtQSY4qovD388MOoq6uT3LdMJoOxsTGEw2HNSLHf70cikShYI1m18Sn/jGEYRCIRVYODONTt7e30fskVrtra2qhhmy3/3+FwIJVK0bYOra2tku/lq6bRaDSnVPVKRCHUNsXw+Xzo6+tTKEVGo1HFZ4B0TFgsFiQSiSXj2eHhYfT391PHZTnxrDy1Tc+c6Pf7Jat3yWQSVVVVcDgcVI12bGxMIkrD83xePLt161ZJuqVcqVfOs62trYpVNnJuWjxLUsuJQ5VKpSQrooXk2fb2dly9elXikKfTadhsNkXTaTHXitUv8wXDMKqlA9kUWqurq3H16lVFcJhgsXgWMLjWgIH5YMmcLK10jXxz3sXRp+HhYcUkPzk5iXg8rmqEVlZW4sKFC1Q6NRgMSla3zGazJALm8XgwOTmpOIbL5aIT88aNG3Hr1i1JbrjH44HdbtdUKuI4TjIBzSd3fb71A/Lfb9q0SSJ5LP+bpICQ6Kvdboff75cY4QzDSMh71apVOWuKAODBBx/En/zJnyCZTOLw4cN0+46ODuzatQtVVVUoLi7OuQKZSqWwd+9e1dQPUuBMxp74+sT3hBhBIyMj9HOWZdHV1aXZ34lAHiGdmppSOE7t7e1Ip9OSVMl4PC4xHsn9Pn78OB0vavUkLMuisrIya9ofwzAKg6mpqQkVFRWS/kTEaCW1YlqTPnC33oUYrbdu3cLo6Cj93uVyob29XZcRq9bWQX6fxXWW8hVTA7PI9T7ny7UHDhxAOBxWdaa0Iv1LxbNqRux8gnliFJpn5alt8jlRnGpHsh7i8bgi3U98TXV1dXjggQcUDo8cuXiWZHns3LkTqVRK8k6LkUqlsHXrVjgcDqTTaclKmh6eJfdFvqpfSJ5taGhQ9ISbnp6Gz+eTyPsTYYz+/v6sDlZpaWnWnptExOLWrVuS1VePx4OWlhaJA8swDCoqKrB9+3ZYrVbNWsXF5Flg1nEVr+QZXGvAgH4smZMljkZ1dnZSo1ArmqIFLaEEAp7nNSeYcDgs6UkhCAJSqRQ++tGP0tqsDRs20OjckSNHEI/HJZO32gQrn0B3796NRCKhKDIGZglz27ZtczZ85Jhv/wr578WFwPK/a2trcerUKergjo6O0slKHGGtqamRpB+Ja4rkRoJ40iJ9WeSFvIFAAGNjY9i5c6fqpGk2myUph7FYDG63G16vFxs3bkQgEKDHJcaZx+ORFBqLxxSZ1BKJBP2cYRh0dnaitbU1Z22BPGotbo7JcRysVissFgtaW1tRVVWlqHkh51dbW4sTJ07krAOoqqrCZz7zGYRCIclzILBarXj++ecVBhPDMOjo6FA0x85kMqiurobZbFY8L5LCRZrbiseb/D2Q12Rkg56arPfee08haGBEV6VQe59zRa61oCaUoAdLybMcx0nGyFyDeXIUmmfFtZbyFEYxz4rTCKPRqGQVW8sZkTs8cujlWZIOrjXfEp4lK2mk9hjQ5ll5/S1xwMTOR6F51uv1wuVySTiOZLaQvpsTExOYnJzMmSKoVndNYDabsX//fsRiMcmYLC8vxyOPPILW1lZFev3GjRtRU1OjWi9XUVGB6urqRedZ+UrechF/MWDgXsCSCl+QaFQ4HM4ZTdGCmGC0oKVSpfZZLBbD9evXcfr0aQQCASrcIM8zJ02F1SZYtQlU6zybmprw+OOPF7Sxn1qUbz6/F6dgiFNrTpw4oehMLwgCKioqaM0ZMFv/Jn6mpLjYZrNJJlmGYVBcXCyZ2MbGxmihMkEmk6EOREtLC8LhMC5fviwx4uQQTx7yZqNNTU2YmZmh19ff3y9ZsfJ4PFi9ejWOHDmCdDoNlmXR2dmJXbt26arNUDMGm5ub6apaOByW1ACUl5crtm9vb6epTrlACp1v3LihGnVev349du7cqRAZicfj6O/vp40rxVF1cp7ydykej6OlpQUmk0nRqFX8HogNRT01LForBcTQun79usQg9Hg86O7uznlvViLE77OeyLUW5GlDeqHFs319fXj//fcxMjKyYDxLju12u7Fv3z7quCxHngWkXEvqksU8K165JisKJCjFsixaWloUIhpFRUUSp0UNenjW5/NJVrrUVgrnw7NOpxOPPfaYpOaP4zhas7zQPEvGRCAQkJyXFhiGQVdXF2KxmCrPer1eVZ4VC0LJFT5ra2s16+U8Hg/NKFhMnhXP8eQZGVLvBgzow7KQcJ9Pfru8sNVsNkv6vXAcR6NT4hQEt9uN6elpVYP8zp07CoGKDRs2qBq+WgQmn0AJEQ4MDEhy5EkqnVph9XKQTNVyInw+n0JJDAA1yMWRL/EzFe8vEAhI7j/DMFi3bp0kKjgzM6NZdxSNRjE5OakwuOWQR97Ek1JZWRnOnz8vKbAWp+0wDIOWlhaFYh5JXco2dskzlKu4kah1IBCgTpP4t1pRckEQ8MEHH2R9XizL0kJnLcc+EolgZmZGVWSEjPfu7m56DlarVaJiJV8pFK9iqqX1NTQ00JRStfukBrV7IB478jTK3bt3G5FVHZgr15LASF1dHU3vKy0tlaSbNjc3g2EY3TxL5LOBhefZkpISfOQjH1m2PEvORU0M4/jx45JAlNj4FqeqidO4svEs2Y8YheBZ+Wpyvjy7ZcsWtLa25pRi11pxGRwcRG1trUS4ZKF4VpzJUCie7ejokMwzcoRCoSXnWcPBMmAgPywLJ2uu+e2EDMSFrd3d3bQwmqQwtba2KqJW4t5DiUQia/0KUR+a72qTw+FAMpmUpG6Q/ljiazp8+DCtX1hqyVQto+yNN95Q1OcwDAOXy6WQZRanMIgjY2qR1draWng8HknBdiaTUa0xEgSBpqRoFRFXVFTgySefVI2CC4KAd955R1Gn0d7ejps3b1JnLxgMSvL1xWNUa+zK1bHkKm7keFppHnJ1TfE5k+fBsqzCKCITP9leLrlN7qe48FwOi8WCW7duwW63U8ECsoLBcRzMZrNqHUK2SX0u77jcIJaL5YjTj4yJXx/m8hzERlcwGMTu3bvR3d2NzZs30xqaLVu24PHHH8/Ks1ppVQQrmWcBbTEMvSma5HnKe1Rp1ae53W7MzMxIeFa8MkaQTqcxOjqqWVNMoNaPKV+elTtfavVq8nEr5lrSE1FvOt1cebarq4u2XSkUz+ZKxxRfj8GzBgzcG1gWTtZc89sPHz6sWtjqcDhgsVgwOjqK0dFRmoetlgPf0NCAyspKibKbmFRZlqUNitUIOR/4fD6EQiFUVlbSyB0havI9cRoLVaA9X6hNUCdOnNDM8RfLxxJUVFRgYGCA1hGII2ONjY20XoNMCq2trXjggQckqUl6Gz7KUV1dLUkjI5Frv9+Pvr4+1QLrixcv4uzZs5J7QKKj8oifWvTU5/NlVSEkmEuaR11dHRX86OrqQiKRkOTukxU28Sqa2WyWPC+WZbF582bqNMpTAKempiQRZwA0fYdlWdTX10uMZT11LvOtYSH3MZ9VDgNKzOU5aPEsMKsaR9TNcvEsWRFWc7Q4jkNzczMVz5nPc70XeZacgzhF12q1QhAETcdU7jhVVFSguLiYpoMSmEwm7NixA2azmXIzcYDlqqvZRBxypYmK+zHNlWfFqnlkDAFQ5VlynFxce6/wLCmbICnpa9eulQQsDZ41YODeQ9FSnwCB1+vNixB8Ph+Ghobo3xzHwePx0O8OHDhAl+iHhoawf/9+zWN4vV688MIL6OvrAwBs27YNANDX14ehoSEMDAzgxo0beO655+YcySETeyqVgslkUt3X4OCgYpIzmUz0uhYKxFkgzW7F8Hq9eO655zA4OIh4PK6aIig+V7fbjdHRUUm6oDh9M51Oo76+HjabjR6PHN9qtWJwcBAjIyPgeR5OpxPBYHBe1+Z2u+n+4/E4rl69qlm/19jYCAA4duyY5HOiBiUeP9me5+DgoOQekd+rgezz4MGD9NmnUin09fVlfSbkvgGgSlhkrIjP7cKFC6ipqZH8ft26ddi1axfWrFmDwcFBTExMYGBggH4vNrgGBwcBgL5L6XQapaWl6Orqgs/ng9frpfsRn6vamMr3HVe7V2Qsqt0XA/qQz3MoJM8CwP79++Hz+SjXut1u8DwPq9WKU6dO0TE7V669V3kWuDu+jx49imAwiIGBAbAsq7ovjuOohD3BxMQE3n33Xcl2TqcTu3btkryX5N4T1NTUKDg7X7AsC7fbjYMHD86bZwEpx2V7nnq59l7hWXJugjDb76q2ttbgWQMG7mEsGycrXwwODkrynEkxq9p3pMt6NrJQI6bBwUFKiqlUCr29vXRbMXJNnmRfYnJXOx+Px4MLFy4glUqB4zjU1dVh27ZtC0py8olCzSghf//yl79UdbCqq6tRVVWFeDyO48eP5xQhcbvdksgy2b/YYFNDdXV1zlQKOY4fPw6GYbLul+Dq1auqBeKNjY1ZDTX58xQ/R6LYl+sZyp89ce61non4uXEch/r6ejpW5IYEMGtEEkOFBBHERsSNGzfovgBIjAkA9NzIZ16vV/UZys8tm8Gs572RY74GhIH8UGieBdSfoXzMqnHt/c6zBLdu3aL/lnNpdXU1LBYLrl+/rukUkSwMjuMkDhYBedeJEyc/BsuyMJlMeTXfzWQyOHHixLx4ds2aNXnxLJA/1xo8a/CsAQOLiWWRLjgXyJWuEokEbZAn/06PvLNaAbS8oDUejytSDLKpy4n3mS2nnEAu4dvd3b3gS/R6C+HPnDmjqbjk9XphtVpx9uzZnCklmUwGIyMjcLlctN+LIAjo6+vLWlQNzBp44lUxPVDrI5VtWzXDYmZmBg8//LDkM/EYI4IdpOZD/By7urp0yWSLfyMWmtB6Jmp58+3t7fD5fLh+/TpNC+I4DjabDU1NTYpUG7Vji6Wj1aSl9TiMesaUHlVGA0uPxeBZcpxsXGvw7CycTidCoZCu9Gki2pNNLU6NG6uqqjA5OVkQFUmt7dR49s6dOxAEQVI7l41ngfy51uBZg2cNGFhM3HNOljgHWpwnnclkMDY2hvLycni9XszMzCAajcJut2Pfvn1ZCUuLiNQKWuVkpkV08n02NzcrFObUMF9Z4Hyht1BWS0EJmG02ev78eckkyzAM6uvr6QqXXAUrHA7j7Nmz9P4kEoms9QAk4pqrR9RCgOd5xeQvl40njqNYWUutWWY2JTPyG7n0sdozUXtuROZ4fHwcLMvSex8Oh1ULwtWOTcY9aa1AzjefekQ9Y2o+iqJaWE5Kcfc6svEsz/MIBAKw2+2orKycN88C6uIB4nFh8OwsotGoggNJr7rp6WkFz/I8D4vFQu+RniCVyWSaV+rgfDA8PEx7bQG5eRZQPkuDZ+9iIXgWMLjWgAG9WDAnayFeQvmE2tTUJOkaT6KfqVQKp06dwtTUFKanp9Hc3Jz1HLIRkcPhUO2nobbaJf5ObZ96u7AvJvRGz8h2pOeI2KEKhUKKKGZzczM2b96MY8eOqUYtk8mkJP88m4MF3DUYlgo8z0uipPKIs1g+WQ35RBT1PBO1beRR15KSEtr3Jt8Jdj4RUD3nP1dF0YU433sdhebabDxLWjSQHoJ+vx+JRGLePAtk59qVxrNaaoxqq0WbN29GY2Mjzp8/r/guk8nggw8+QDKZ1H2uS8mzABRBTINn1bEUPDvfczZgYKVhQZys+byE2QwG+YRKluXl0U+xbKoe0stFRNnITOu7hSC3hYLeqK7D4cDGjRsRCAQU3ejlSlekV5a8WTGBntz9uUBLyn2+kEtA55sqlW9EUc8zkW8jH3ObNm1SlZ3Xg/lGQHOdfyFUsAp5vvcq5sq1c+FZtZ5p+ajz6eFErXGx0ni2oaFBs5k4AIkgRjAYxNTUlIKTgVmHSdwvLB+s56+i5/YhfDhxEUnWjHDRwt9XOY8aPJsdi82zhThnAwZWEhbEyZpPw8tsBoPahOr1Kju350t6eiNaWmSm9t1CkNtywfj4uEKAgmVZlJeX01UrUh8xOTmZVQgDAIqKilSbYM4FFRUVWQu2iWx8tn49crjdbjz//POSzy5evIiJiQmUlJRg7dq16OnpyfqMF8MYlI+51tbWOY/BQpyv3rSdQtyHe8nYLiTmwrVz5Vl5ihXHcbpkpQnyWc1RGxcrjWe1eiYxDEPrpoC7XCtvnaGGbEGo9fxV7IkeQlvsJDbHz6ItfgYPpMP4UDqClsQHWJ/wIcatQrjIkZNngVmHSK2/oRYqKirw1FNPSZ5hOBzG+Pg45ZBcKakGzy4szxbqnA0YWClYECdrri+hnnQSPVHOuZDeQuToL3be/2LA55tt4il3nEjahHhCJYW9uRwaQRAUPUHmApZlsW7dOtXVs+rqalitVmzatAmPP/44bWKsBw8++CBu3LhBJ7He3l68++67mJ6eBs/zaGlpyavgeiGNQfmYm+sYzPd85RP9YqeU3M/GdjbMhWvnyrPy79SK93PB4Fl98Pl8tGcSMNu4Vrz6bzKZJFxbVVWlK3BUVFSkGvRaz1/FH0Z+iQfSYZQLMZQLMbAQ1dgCKBdiaElcRhEErHFUojF4BCzSihUuUiPW09ODxx57DBcvXtTlaG3fvh3l5eWUR8LhMA4cOIA7d+4glUohkUhQIQ8t3O88C0i5ltSHLWbq3krlWgMG5gImU4jlAxXMRTY0V08MA0uP1157TdLrIxtKSkoWrID66tX1GBxcB4/nOhobr9HP1SSJxTCZTGhoaMDIyAju3LlDI7/ZfieWRK6rq0MoFEI0GqXfO51OfPrTn57TmL8XkOu65DLHJK1SPE5aW1uxb9++RTvnlYR8x53Bs8sfBw8exHvvvad7e7PZnFfdlRx/FP53rJ/Wx+uEJVkASZjwuv05XLM2SrYxmUxoa2tDMBhEOBzWJbjhdrsxPj6OVCoFlmXhcrkUfRJbW1vh8XhWJM+Sbci7S1Y0xffI4FkDBpYXFkz4Yi6RneUcIbkX1HQW4xwvXbqkewVITcyipKQEq1atmldxdTi8A//n/+yD3/8gfD4vnM4xOBx360SyQRAEhEIhRaqLnlhDJpNBJBJBKpWSbL9lyxYkk8llUQy80CIIatclLwSPRCKIRqN5pZIZmDvy5VqDZ+eHxThHQRBw+fJl3dvLa1xJqp6cq7SwYeoiHGkpr89kWAzeqUOleQKsKMuQ+f1/AMBBwBRTjAHresX5+/1+RCIR3VzPcRwNymUyGcRiMcoh5Pu6ujocOXJkRfIsIOVaYFbsi+M4g2cNGFimWHYS7ssx9WMhissX4xzF0rBzOT5JDbx06RIsFgscDgcsFoukEDlftLW1YfPmzRgZGZmTo1VdXY0jRxpx/bobACAIHIqLp7B+vTQKK56c5wOWZRX7ymQycLvdKCkpwZYtW7Br166CFAPPd7wsRIqenutSk50mPWU8Hs+yM+QN3F88S367GFy7WDzrcDiQTqcxPDw8p/NsampCR0cHxsfHqfJdNiRZMxoT/eCQQQZAjF2FGwkP2Jk0PmSdAMMAmQwgL+lKg8WFqkcRzJTP6TwJGIZBa2srAoGAhGs9Hg/sdjvsdjt6enoQCoUKIrown/GyVDxLvpM73wbPGjCwfLHsnKzliIUoLl/oc+R5HidPntR1fLUJx+fz4cCBAwiHw4hEIujv74fL5YLX66WNhLUm72zF1URefy4OFsuymJycRCIxA5/PC0HgYDIl0dFxgq5kFRIVFRVYt24dysvLYbFYkEgkaMTw0UcfxUc+8hGaGqdVG6N3Mi/EeMnWS2iuBkU+inA8z9Pie5PJhN27d6O9vX1ZGfIGli8WSjBpIc9xoXjW4XDQ1GQ9tVZyzq2oqMCxY8eoOEYuhIscKMrMYG0yABYZmDNJPGAKUQdr9hjS3wgAjq/qxEnzJl3HyAZSM1tRUUFragmHdHd3Y+PGjXA4tKX88+G4+Y6XpeJZANT5Js6owbMGDCxvGE6WDixEcflCn2NlZSWdrLIdX2vCOXPmDAKBAN1O3J/E4XDg1q1bqvLCJpMJO3bsgNlsVjTHZBhGV1RVC0Qy2uEIw+kcQ3HxFDo6TkhqsgoBi8UCAEgkEgiFQohEIkgkEtixYwdcLhdqa2sRCoUkk6laClY+k7naeBEEIa9JW22czrcwOh9FuI0bN8Llci3LNDQDyx8LJZi0kOe4kDwLQFPGnUiZm81mWCwWCIKgaEScb+P2xkQ/qlOzPalyNcKYYCvw/9qewdnS7XkdQwxy3gBw584djI6OIhKJoKOjg7YNACDhwPnyLNnffLh2KXkWAOrq6lBVVWXwrAED9wAMJ0sH5lLDsNgyp/JzXL16ta7jaxkoufqTyK+vsbERDMNg06ZN2LVrF8bHx3ULZMztesNYv35gQVawVq1apTBQMpkMotEo1qxZg1OnTsHv9+PKlStIp9N0NUuegqXH+CPRz3g8jnA4TKOTtbW1edceqI3TQhig+aSWLcc0NAP3BuZaK7aYXLtceHbz5s3YtWsXLBYL3nvvPUWNaTKZ1EyXttlsqt+zEOBN+MBBQAZ3HS3yb/L/JEz4/2xPKsQu8oVabS7h2e3bZ5034riIuXY+PCsIAhKJhGQlKF+uNXjWgAEDemE4WTpxLxSXi89R7/G1DBSHwwGXywWe52GxWFBaWorx8XFJzQDZf21tLS5evIjJyUkEg0E4nU709fXRBtHLHWazWVJP5PF4cPv2bYXa4PT0NIaHh+nnmUwGw8PDcP//7Z3vbxPXuu+/nsnYTgIxDsaxSbnEscGp2Y12S9wmJClqBN3atOo+2imcLfXVfnOkI51/C+m0PWzpnCtRuNWNVG2gHOIiRC+YoTg5xUkMiZ0fOCGTGM/cF9lrdX55bCfOT57PG2p7zcwax/2uWWs9z/cJh21/F9ls1pBTEY1GDQWN9Suwc3Nz0DQNLpcL586dg6IohkF7dnYWbW1tNU20nApnUmI0sZfZD4ZJ26mzwWAQmqYhnU5DVVXE43FHnc1kMoadMIZTPqooinjz5o2lTaEpgFkpiNeuZkx4olDghqiV0axtTOBcAF6IQVz3f7apCVY9OivLssHFVdM0ZLNZhEIhy2+jHp1Np9PIZrNQVbWi1iqKgt7eXsd7IZ0lCKIWaJK1jez2alMt13d6SGBGF+Pj43j16pUlZ4Cdnw1cwG+DVFdX16aTtncSl8vFwy/YTtLi4iJOnTplW2/LDvaAZA43SafThlCfjo4Ow+qm2SlK3y4ajRrMJFZWVrY9DIUg9iu7qbWN0tmffvoJ+Xwez58/x8zMDP//nRWCNuvs7OwsQqEQpqen6zL5cXIcLDQF8Mx7Gv/j6cb/a+nFQpOf726tQ9r0BEsQBAwMDGB9fZ0vvjnprKqqtqHliqJgampq0zrLQs71baPRqGE3cWlpiY9xtUI6SxCEHTTJIhwfEqrlDACwhLwsLS2hv78fqqqiWCwiHA5DFMUt2bZvJ/Pz88jn87z/bJWz1p049oBkDjeptrpp58rH2rEV7NnZWd6PnQhDIQhie6ims+YFF/P/72a9WFlZQS6Xw8DAAEqlElRVhdvtti2d4YSTE6t+d+vO4cFNhwhqmoapqSmDEUe9OgtsjC1TU1Ob1llRFC2lJeLxOLebZ30lnSUIohHQJItwRFVVPH782GKrqw/HCAQClkFKURRMTEzwlUtzUeLW1ta6HwZ2CkmS8Pvf/x65XI4PzKwgsR2HDx/mYS36B6Nqq5v6z6PRKE/2Zu0CgQDa2tooDIUgDjjmhSrAmp/F9MK88OJ2u5HL5SxGQ8CGzgYCAUfDoWq7YGx3q9C0Nd0xX8essyznrJKbosfj4fe3WZ0dGhrCmTNnLG09Hg/pLEEQDcelNaKYEHEgkWUZqVQKMzMzhklSOBxGa2srAKCvr487PH377bcol8u8aKST8YUgCABgicd3oqmpCaIoWpK8G00ikUBvby9SqRR/z+leRFEEsFEQVJIkjI6ONjRcRJZlZDIZRKNRCkMhiANGJZ1taWmByEwXcwAAIABJREFUz+dDa2sr11kAGBsbw+3bt/mE4OTJk1X1yVysuBpNTU148+bN5m6oRvx+P373u98hl8sB2BhLUqlUxXsRBAEul4t0liCIfQNNsghb9JMmJ0RRxOXLlwHAMMk6d+4c7t69i1Kp5LgLZEel9i0tLfjiiy/w7//+7/XdTJ24XC4IgsAH8/7+fty6dcvQJ6/Xawh/jMVi8Pv9iEajAECDNUEQVdmMzl67do3r6tDQEDo7O/l7jcLn8/Hd+XoIh8N80lQPbNJknmS1tLQYJp6kswRB7CeE3e4AsfeQZRljY2M1rX6Wy2VkMhlkMhnevlwuQ1EUjI6OIplMYmhoiO9c6alUtFgQBITDYcv7Pp8P8Xgcw8PDNd9LMBjE8PAwJEmq6drARlgLu5dSqYRcLme4B0mSkEwm+TklSUJfXx8uXboEYOMhaHx8HNeuXYMsyzX3lSCIt4tUKmXRWa/Xa2mn11k2mWJh2fF4HKOjo4jFYjXrLHuvkg729vZieHjY9nx2BINB/OUvf8H58+f5zn49lEolpFIp9PX18eNFUcTZs2dJZwmC2Lc07XYHiL0Fs7s1r4rqQzXMsFXFBw8eoFQqQZIk/h4AdHZ2oru72xIGomkafD4fOjs7kc/nMTs7C2DjgeKdd95BLBbD3//+d3798+fPQ5ZlKIpiWeGsRDweR2dnJ06ePAlgY6VVURR4vV6+02ZGFEWoqsp3riYmJtDX14crV64YVk47OzstK6n6h6BSqYRMJkOrrARBWJBlGZOTk4b3RFFEMpm07JwDlXWWhbn19fUBsA9tZotWLMybtdE0DeFwGC9fvuSh24lEgmvb4OAgxsfHq5oWxeNxHjYeiUSwsrKC1tZWhMNhrrNmXTXDdPby5cukswRBHAhokkUY0A9ewMbu0bFjx/gAnkqlMDExwZ2hhoaG+OA2OjrKB0Pgt7CWBw8eoL+/nx+nZ2lpCa9fv0Z/fz/y+TxUVYUgCPwcsVgMAPj12TlrXWHN5XJ8kGcroay/nZ2dGBsb45M7YGMVubu7G48fP+bvqaqKVCqFr776yjCQswcLPdFotOJkkyAIgqHf/Qc2tPaPf/wj1xS2wLRVndU0DS9evOCOeqdOneIh2aIo4vz585ienoYsy3xSw87J2uv10A5FUQwLdJIk4fz584ZJ0sLCgmMoIOksQRAHDXIXJAyY7XC/+OILfPLJJ7wuVm9vL0KhEJqbmzE8PIxkMsmP1VvY6i2JmQPWwsKC7SqmqqoolUrc3lfTNCwtLeHHH3/E/Pw8isUiEokEUqkUr6nCVmDfvHnjmKCtaVpFC3Szex8AvHnzxtbdqr293bYWlhmql0IQRC3YaS3Ti0gkgnA43FCdZW3M+lYoFPDkyRMsLy8jl8sZigCrqoquri5omuboUCiKIkqlkqEveve/U6dOwePxGBwU7aIISGcJgjhI0CSLMFDL4FVLPRDzA4QkSYYaKXqY0YTeNfDVq1eGcymKgsnJST5AC4KAEydO4PXr145ug4qiQBRFvorb1dWFdDrNB/BAIIBSqYTZ2VnHyVooFMKtW7cstbDM7JZDlSzLVR9MCILYO9RiPd5InQXsc7CWl5cNNQL1kymXywWfzwdFURwnWa9evcKRI0ewuLjIy154vV54PB7e/0KhgOfPnzvqNeksQRAHCXIXJLYN/UD4ww8/VHSdEgQBPT09jiEpsVjM0abYCeZIpc/DYm5WAGpy9xIEwRCCk0wmeQI2wxwu02iL4Urs1nUJgth99DrrZIEOVC+dUa8TrJ5gMIiRkRGkUilMTk4arNYB1OSASDpLEMRBgtwFiW0jHo/j0qVLiMfjPOGa0dLSwv9bVVW0trZieHgYwWAQfr/f0DYcDvOcrHoRBIE7UimKYkmW/uGHHwwTrJaWFlt3LJaDBqBiDoBdMvZOsFvXJQhi99HrbF9fn2W3Su9WqKoquru7EYvFEA6HLW1DodCm3AFZP+LxOPx+v8Gd1eyKyLDLqyWdJQjiIEGTLGJHqGbNG41GMTIygn/913/FH/7wB0Pb8+fPAzBOzGqlu7ubu14tLCzw80qSBK/XixcvXhja+3w+RCIRxGIxg/W7JEkYGhpCMpmsuIIZjUYt97QT7PR1ZVnG9evXyTaZIPYY8XgcQ0NDhomKXbmJr776Cv/yL/9iaRuLxXDo0KG6rxsOhzEyMgJgY1KnL3cRjUZtbekPHz5MOlsF0lqC2N9QuCBRM1uNgzcf73Q+/WdAbaEmZpgrVy6X4+EroigiEomgr68PmUwG4+PjhmNEUbSEudRzz7uZK7DV69ZyDnPITH9/PxRFoYKgBNEgtuP/5Vq01qmshRNMZ82lMdj7IyMjuH79ukVrAbyVOlvreUhrCWL/Q5MsoiZ2Mx690gCtx5xLwPK8fvnlF8tDA4vz19+TIAjo6Ogw5I3Z5QMcVGr9+5r/Fux7pxwFgtg6e0lnfT4fXr16ZdBVs866XC68++67XGcr5VRVqr+ob/O2QFpLEG8PFC5I1MRuxqPrwzTs4vglScI777zDX7tcLgwODqK1tdUyqOvDPOLxOEZHR5FMJnHlyhWcP39+V8JQ9gK1/n3Nfwu9HfPY2BiFtRDEFtgrOitJEo4dO2YxwXj33Xfh8/l4iKEgCFhfX+d9rpRTpddac3jg26SzQGO0NpVK7UxnCYLYEmThTtSE2Sp4cHCwLgvbrVjf6q2Ou7u7MT09zQccl8uFeDxuGag6OjoQjUZ5n0VRRDQaxYULFwwrgHqb5Le59kotf18W4tLV1YWOjg50d3cjl8vxleuVlZWKtsvs75/NZg0W+gRB/MZe0dnBwUEcP37cUNfK5XKhUChAURR+jKZpaG9vR7FY5H0+d+4cOjo6LBrKtDYSiby1OgtU/xuzv2F7ezsSiYTtuLe0tISOjo6KOquqKgqFAtnNE8QuQ+GCRM1sNh690SEwV69eNdgU+3w+XjyTkUgkcPny5V2L3d+POOVxALD8DQEglUoZipcC1vAfu1AhCnkhCHv2is4CVq21Y3h4GJ2dnaSzdWDWViedZVr83Xff1aWzLHSTtJYgdo+m3e4AsX9gFr31YhcesRXB7+vrw6+//soHopaWFsskK5/P19xnmohtoP+u9AP2gwcPcPLkScPfMJVK8b+BKIoGwxB9+I8syxgbG7OEbTbid0AQB5G9orOAUWsr1dBSFIV0tk7Y91VNZ1mEht0ilTnMMpVKGdqwCAPSWoLYPWiSRWw70WgUDx484JOircbgs/h+/erf119/bXgAqHVAMQ9yb9OKn9NDj/mBDdgY2NnfUP9+uVzmBZ/153JKdne5XHX9DugBjSCcabTOAkat9Xq9uH37tsHYgoVhV4N0dnM6G41GLTXGWNFn/blkWcbk5KTt9ev5LZDOEkRjoZwsYtvZjlwncy5VKBRCoVCAKIr48MMPec2WarA8IWBj5a+5uRmnTp3acv/2GuZcDfbQk81mbfOozHkD7777LhRF4TXOenp6DJ9fuHABAwMDhnPov1s9giBgaGgIbW1tNeUMVOur3f0RxNvGduWU6nOpQqEQFEWBx+NBKBTCxYsXa7rO26KzgDUvais6m0wmLW0+++wzy3d+8+ZNFAoFw3v6PGQAVfWRdJYgGg/tZBENw2kVbLMhMLWy2fNvx+rvXsNuFdm8gppKpSzf38mTJwFsFBq9c+cOyuUyAODOnTs4d+4c/7yvr8/2u19ZWTG8TiQSaG1tteQe3L9/n9cus6vpUy0M6m1eJSfeTippLens7lIt/G9sbAyAMdLCSWeBjXBMpxpZY2Njhrw5QRDQ3d1t0FPWp1QqxWuXsf6y3xHpLEE0HtrJIhpCLatgexG2+qsoCo4cOYLjx4/viX5vZsWw0jHmVeTZ2VmEQqGKblXsb5nP51EsFqEoCl69esXPp2kapqamUCgUUCwWkUgkLE5Wsizjhx9+MIRwdnV14dKlSwgEAoY+aZqG+fl5yLKMUqmE77//3vA7am9vt7hx6a+XSqV4Dt5BXyUniP2otXtVZ4Ht1VqPx4O1tTVbB1a2y1VNZ6enp5HL5TA4OMivodfZGzduGHQ2Go3iq6++4v26efMm10cAmJqa4pEf+t9RV1cXd4slnSWIxkCTLKIh7OdwkEKhgB9//BH5fH5PPLRs5iHK6ZhsNmsI21tZWUEul8OxY8ewvLwMYGNAn5iYwPj4OGZmZriRiKqqvI0eNqirqgpFUfDjjz8arp1KpQzhKy6XC8PDw4Y+PX/+3HBOdq5ischfNzc3Y2BgwBAGBYDfazqdxsLCAu+PKIoYGhraMw9wBNFo9qvW7jWdBbZHa/W6trq6ioGBASiKwnf2VVXF06dPMTs7uy06++mnn/L+yLKMW7duGSZhmqahubkZCwsLht8Rs90nnSWIxkHFiImGYC5kuZ/CQXazAGij+mN3jCzLuHr1Ku7cuWNxBSuVSmhtbeV/MwB4/fo1lpaWkMvleNFnu+LP+vddLhdWVlYsoYf6JGyXy4WhoSGDIYZd0WJW88zudxSPx3Hp0iVL+GC5XDYk4h86dKjqd0UQ+5n9qrV7TWeBxmhtKpXC9evXMTY2htu3bxvalstlKIqCkZERiKLI319fX69JZxmiKGJubq5unR0bGzPoI2sXjUZtf0ekswTRWGgni2gI+7mQ71YLgO6F/piP6erqwvfff498Pm9ruwwAoVAIn3zyCSYmJiwOgG1tbejt7YUgCIYQFkZzczPK5TI0TcPq6ioEQYCmaZAkCUeOHDGsrvr9fvzlL38B8NsqMNut0hMOh/Hll19W/R3p71UURX5tAFhbW9szq+QEsR3sV63dazq72T6Z9WdxcRFTU1N4/vy5rdYeOXIEH3/8MR48eGAo5Az8prPd3d2YmpqyPd7n82F9fR2rq6v8PTudbWlpQTKZNIR8V9LZP/zhD1V/R6SzBLF1aJJFNAy9499+Yq89tNj1p1regPmYubk5W2c/Pfl8HoVCAQsLC5bPPvzwQzQ1NeHnn3+u2Ec2gLPwk5aWFu48+PjxYz4gK4oCVVURiUQs+QEMURR5vla135H+XoeGhnDmzBnMzs4awnH2SwgVQWyG/ai1e01n7foEVHfh0x/j9Xotrn5mWHjk3Nyc5bMPP/wQn376KSYnJ/Hrr79aPhdFEZ2dnYZruN1u9Pf3o6enB+l0mutsqVRCOp1GR0eHIX/KfD6ms+xeKv2OSGcJYuu4tErL3ARB7An0rk6iKCISiSAcDld0mzIfU6mIaCVOnDiBUCiER48e4fXr1/x9t9uNI0eOIB6Po7Oz07YGlsvlQigUwsuXLw3hJW63Gx999JHBPYshCAIGBwdrtt23Q3+/kiSR8xVBEHWxVZ0VBMESmudEIpFAb28vMpmMRWvZ9fv6+gAA3377rUE3WWjgvXv3sLa2ZjhvOBzG7Ows6SxB7AFoJ4sg9jh2TnzPnz/HzMxMxZAN/Sqkz+fD0tISNE2rOtk6fPgw5ubmMDMzYxtC+G//9m+IRCL8/PqVTcby8rLlOuVyuWI4jaZp6OjoqLoi6rSbtxdXyQmC2D80SmeBjZyl9fX1itcKBAJYXFzE/fv3MT09bdHaUCiEv/71r3xnP5vNYn5+3tDm+fPnlokUYK+/7J5IZwliZ6FJFkHsUdhg5/V6ubWuGVVVkc1m4ff7DQMiq3+ysrKCx48f8/ypajg9GKytrWFqagoejweFQgGZTMZiO7wZmFOV2QZeTy0uYPsxhIogiN2lVp199uwZ1tfXEYlEDJ8VCgX8/PPPmJyc5DrrpKPAhsmQeQdKz+HDh3Ho0CGDJtqFG9aDIAgYHh4mnSWIHYTCBYmG4lSQmKgNWZa5c1S5XIYoiggGg1haWjKElOgRRRGXL1+2FJ/cDphLlt0qai243W7DQ4jf78fRo0cxMTHBH3CGh4cNYS3Xr1/H+Pg4fx2LxeD3++l3RryVkM5uHbPOSpKEU6dOYXp6mu9I2aHXpu3UWkEQ4HK5Nq2zXq/XYrSRSCTw5MkTrrOJRAKXL1/mn5POEkRjoZ0somHsxyKZm2EzxSvrOTcrUMnWPzRNw/LysuNAzswnTp06VdFcQo/eKapeagk7dKKtrc0w+K+trWF+ft5wzufPn3OzDMBYf0YQBO7odZB/ZwRhB+lsY85t1lm2W+S0wwRsGPkkk0kA1kK/dmxWa7eqs6dPn0ahUDCcY25uzvL66dOnOHToEA9LJJ0liMZBkyyiYezXIpn1sN0POLUM2gDQ1NRkCWvRNA1LS0t4+PChoWjkO++8g5WVFUtBykaTSCTg9Xqrhg+qqlpTgng2m0UoFEKhUMDNmzcNk079gxH7nW3nQxlB7BVIZ7eO/jt0wu12o6WlxRL+d/ToURQKBUOhX5fLZavLoijWZYhRjXA4DL/fD0VRHHe5isUiQqEQd4F1uVy27ZaXlyHLMkqlkqGmIuksQWydpt3uAHFwiEajePDgAXce2i9FMuvBrnhlo8IoZFk2FJd04s2bN5b3crkccrmc4b22tjbMzMxsOuSkHhYWFizXt4M9sITDYcRiMdy9e9d2l07TNF4c1Nx/5pgoSRK8Xi+uXr3Kww3v37/PQycJ4qBBOrt1vF5vTe3W19ct2rSysoJvvvkGXq/XMHlqaWmxmAAB9lq9VWqZICqKgmw2i0QigdbWVni93opaWyqVIMsy6SxBNBiaZBENIx6PY3R09EDnCjTqAccupyKTyTR8MrS2trYjEyxBEPDy5cu6jimXyxgZGUFnZycymQy8Xi+ePXvGJ2r67/f+/fv8PkRRxLlz56Aoiu2DQ7lcRiqVOpC/P4Igna2dSrlr5lwlJ+x2/VVVteTH2k2wtoN6dTafz/O8K6a1KysrmJ6eRrFY5IWY4/E4CoUC6SxBNBAKFyQaykF3HmqEhW2lUBhVVSHLctXQklpj/F0uFw4dOlTXA8Vm2Uz+wAcffMDt4E+dOoVIJIKzZ88iHA7z4pstLS1IJpPo6OiAoijweDwIBoPo6enBwMAA0um07apue3s7ent7ba9bS7gLhcQQexnS2eo4hRyqqopHjx45Hs90div5q/VwWnmCT5du4KPlH9GjPMGxN3PoWU3jxHoWPatpCFBRaApsWmeB3343Z86cQX9/P8rlMpaWluDz+fDee+/hzJkzO6qz9bQjiP0ITbIIok62+oBTKaeCPVgoisLrWjEnPz3RaBRNTU01rZzaJXFLkoSenh4Ui8VtCWWphUQigc8//9z2s4cPH+LRo0dYW1vjBhjJZBIejwc//fQT8vk8f2hqb2+3TExFUcTFixdt/z615Hq8LcYCBLGX2S6dZecul8uYmppy1NloNIqFhYVNuweKoojm5uaqx3/y6v/i0tJ3CJTn0aYu42h5Hv9r/TneKc3wf+OrMmalIApNtX8fJ06cwJ///Gfbz2RZxnfffQdFUbC8vIx0Oo0zZ87g+PHjO6Kz9bQjiP0KTbIIYpuotEKn37GSJAmDg4P880AggN7eXnR0dKC5uRlDQ0Pw+/38YUGSJFy4cAHFYnFTdVN8Ph+++OILfPzxxzh27BgeP35sWBkVRbFqIc1GMD8/j2w2C4/HYxlU/+M//sPwUPLixQsUi0VMTExwUxD20DQwMMBXvKPRKDo6OjA0NFRx5bsW04C3wViAIA4SdlrrpLMAEIlEEAqFHHW2vb0dDx48qLs/LpcLsVgMFy9eRDwet+is2+3GmTcZfPj6HjqV/8Hg8i2IMO5QuUz/ilDx2tWMZ97TlmtV4tWrV5ienrbV2b/97W/cFAPYiEZQFAVPnjzh72+nztbTjiD2KzTJIohtwGmFrpZQGBY+mMlkcPLkSfzud7+Doig4cuQIjh8/jkePHhl2skRRrBpGIggC/umf/gnAxuDW3t6OcrlsmKxVKqT55Mlp/Pd/J6GqAgKBQs3fQ6VQG03TMD8/z78bfYFM5nTFKJfLmJmZwcLCAj+f/qGJrXivr69jYWEB7e3tFVdDqz141dqGIIi9QSWtbYTOZjIZTE9P192n4eFh9PT0IJPJ2Orsxwv/Bxfn/zc617I4sZ61TLAAQMPGBMvwr6ZhWTxk2c2yczVkzM/PI51Oo6OjA4FAgE9Is9msZYdtcXERy8vL/PV26mw97Qhiv0LFiAliGzAXdUwmk7h06VLNx+uLXEqShP7+fp54zIpmPn78uOLxTU1NtqGAJ06cMITIBIPBqo6AT56cxt/+9iXW1yVI0jpGR68hkXjWMFvicDiMFy9e8PwHn8+HhYWFiu1jsRj6+voMD03m72t0dLTiKmsthVyp2CtB7A+2orXVdLa/vx+3b9+uqHWtra22Ydv6or+CIKC7uxvPnj0DsJF7dWX+a9uJlapuTKZEAShrQNklwg2jcdE6JFxrH8VTb09N98gIh8MAwLWWOQcyPB6PIbzc5/Phj3/847bqbD3tCGI/Qu6CBLENbNUdy2xhrN/dKZVKmJ6etgySet5//31bRyh98nK5XK7Jcj2T6cb6uvSPa7uRyXSjp+dpXffjhL4PqqoaJlgsFEZ/n/o6XGyA1udNMMvnjb5bB+94PF51MK+lDUEQu89WtLaazj58+NDx+EQigWg0iv/6r/8yuA3qF8BUVcXU1BR//cFyynaCBQAuFyD8I/pPdAEiynwni+FGCd1Kpu5JllnrzWOHU4i4k87G43HbiVKtGkpaSxxkKFyQILaBrbpjmcMofv/732N6epoPjHaGFgxRFDE0NIRkMol0Om0I/9gMqipAluNQVRGStI7BwTt1hQw6wYpqOhEOhw2rxSsrK/xh6Pvvv0c2m8XS0pIhlLCrq4t/RgnVBHFw2YrW1qKzlRayXC4XhoeHEY/H8ejRI0ed1UcVvLf6EEfL8/y1fhJll17FQgVVCBCgYR0S7hwerMsAYzOsra1V1dnBwUEUCgUyryCICtAkiyC2ia24Y5kfHNra2izJ03b4/X6cPXsWc3NzUFUV+Xwe8/PzjsdU70sBweAsmptfY3DwTsN2sWKxGDRNqzoJfP/99zEwMIDZ2Vk+2VJVFYqi8ARtTdO4G9jg4CDm5uYooZog3hI2q7Wb1VlgI++qra0N9+7dw6tXr2pezFoX3Diz+shgbGHerTLjAvCLO4qMJ4o7hwfr2sUKBoNwu91VF7PY4pyiKDXrbDweJ/MKgnCAwgUJYo+iD6O4evVqTUWF19bWcOfOHV4o8ujRow3pS0/P04qTK3Msfy24XC6sra3hxYsXVdsqisK/B30+QDwe5+ErkiRZ8rQaUcyUIIiDzWZ0tqWlBQDw7bffolwuOzr8mXnq7cGtQ0PcUXAdEp56T+FdJQ0RGt5AxKLQhnZ1AcI/jnkDEfcP9dUdIiiKIkRRrMmJNhKJ8OLw9ehsowpHE8RBhIwvCGKPI8syH8z1OOVk7SRutxuSJNVUt8vv92NxcdGx36xmTblctiRXs9h/r9cLRVH4v3ZJ05RQTRBErVTS2e3itPIE3UoGE94onnp7bF9/sJyCywX81LoxwWpqaoLH46mqtX6/H16vl5tc2NEondW3J60lCCM0ySKIPY7ZPQsAd77K5XKYmJhomNPfVqg26XO5XGhubjYkiNuRSCTQ29tbcdAeGxvDrVu3eF6Ak8MVQRBELZh1lukZc2F9+fLllnRWFMUdm8AlEglH91nWhnSWILYXyskiiD2OPjlbFEWEQiEcO3YMPT09OH78OPL5/JbNLXYCl8tlqctix/r6Oj7//HPbHAtZlnHjxg0+mWM5ANlsFjdu3ECxWEQkEtmW/hMEcXAxm2CcO3cObrcbfr8fJ0+ehCRJvGDvZtip9Wy/329wM6wE6SxBbD+Uk0UQO0y9oRXxeByjo6M8fOPu3bvI5XKYnJwEgB1bHWX4fD4sLS3VdYzdLpcgCPB6vZadLZbvwNB/X5lMxrKa/OLFC554PTs7CwAYGRmpq38EQRwstqKzLK+IlcBgNa4EQXA6RUNpaWmpuutvhoUAmrXWrp4X6SxBbD+0k0UQ24gsy7h37x5UVUUgEMDY2Bi+++47TE9PW+xuzW31MPesdDrNBzpN06qG59WCKIpoaWmpaZcJcK6nYqa1tRWBQADr6+uGyWBrayv+/Oc/49ChQ3j+/LnhmM8//5zf/9jYGG7cuMG/r66uLl5MWd8fvUWyoihIJpM195EgiP1No3U2EAgYXPMYW9mNkiQJnZ2dhjp/TtSqxwy/3w+Px2Mp5M5qeZHOEsTOQztZBNEA9KuAAAy7TqVSCQ8ePEB/fz9u377NB65SqYRUKmXbdnR0lJ9HvxKrd3Ky48SJE4bBsaWlBT6fD36/H0+ePOEhh5FIBOFwmCc13717t+Z7redBY2VlxTZJmxWyND8QxGIxQ/I1ywlgxyiKgsHBQUOuQHd3tyH/gPIGCOLgYmfKsBWdrVRMNxqN4v79+5ZIAUEQ0NHRYcjRcrvdOHr0qKPOsrHhm2++2ZYcWrOWMtbX1yHLsuG9cDhMOksQOwAZXxDEFpFlmVve6h2bzCFywWCQh1kwWDK0uW0sFsOvv/7KbXHNzk9jY2OWcwH2ISYulwv//M//DABIpVIAYLDhtTPW2CkEQTA8cAwPD6Ozs5NPwFiYDmt75coVw0MRe9BaWVlBPp9HPB6nEBaCOKDotZaxFZ1NJpOIRqMGy3K91l69etWgQQymO3qq6azT+bYTO8MNURRx7tw5KIpCOksQ28jOBRgTxAElk8nwQb9cLvMBTdM0HsPP6o1IkgRgYyALh8MV2wK/hYuwXR8GG+BYOz12MfyapuHmzZsAgF9//RXPnj3DtWvX+OpmNBqtKbSwnlowtWJe0b1//z6++eYbjI+PI5PJ8O/E5XLx4pfAxncQjUZx9+5djI+P45dffsHIyAgN/ARxgNFrLWMrOsvyjyppbV9fn63O2plfVNPZWhEEAa2trXUdUwmfz2ebs1sul3Hr1i2Mj4/j2bNnpLMEsU1QThZBbBGz+58gCDzE4ty5c+hWNtotAAAI8ElEQVTo6MDg4CCSySQPxXj//ffx3nvvWdysWNvjx48bPhscHDTkDwQCAQSDQTQ3N0PTtKruguVyGR6Ph+cYMLeoU6dOoVAooFAoVD2Hx+MBUH9egiAICIVCWF1d5ZbI7DsyUyqVDO9rmoZYLIZPP/3UEv+vz5nQ3w9BEAcTvdYytqKz8Xjc4iqo11q9zkajUb6bUwknnZVlGTMzMxXD+hhutxtv3ryxLEAFAgFHIwyXy4VwOMx1VpIknD17Frlcrmp4IuksQWwPFC5IEA3ALifL7GqlD3VhYSmV2prP6RT/bhdCY4bVRNGHNbJ8AZajIIoi2traqj4EmAmHw8jlco5tkskkvF4vZFlGPB7nIYErKytV67kkk0lcunTJ8r7d90l5AgRxsDGHsG1VZ/XnrEVrv/7664oLTWad1dcznJycRLlc3rTOxmKxqjURzTo7MjICWZbxww8/GDTazm2QdJYgGg/tZBFEA9C7Uun/W4/diuDAwABva3a9qnQe4Dc3qGKxiGQyiWAwCEVRsLS0xFcxOzs7sb6+jtOnT+Py5csIBAIolUpYWlrC2toaCoUCpqamDKE0bW1thsHX7XYbwk3sdqAOHz7suAsmSRK6urpw9+5dFItF5HI5+Hw+zM3NoVwuIxQKweVy4eTJk1hcXLSsUpt38fTfOVtl1oe4EARxcGG6GIlENqWzgNVhsJLWyrKMmzdv4ueff4bH40E8Hke5XObmQk46qygKTpw4gYcPHyKfz3Pd3KzOejweFIvFit+LIAjo7u426GypVMLTp0/hdru5zn7wwQfo6+vD48eP+TVEUcTQ0BDpLEE0GHIXJIgdQu8MyPIBGPrVQr3rlR1jY2P4+9//DsBYr8TskgXA8N+yLPNdK4aqqjwZnOUzLCws8D5+9NFH/BiXy4Wenh5MT09b6mSZDSwYwWAQIyMjlrwHvZsVezjo7e1Fb2+v4yq1mXg8ToM+QRAcJ50FatdaWZbx7bff8snP5OQkLl++jJGREb4Tz/SJ6S7Lv2KaOTc3Z5ksNUJnBUGAKIoGLe/u7oaiKFV1trOzE/F4HFeuXKlo0GGGdJYgNgftZBHEDuG0IlhP3Pt//ud/Ym1tjb/W1ythK7KFQgHXrl1DNpvF48ePUS6XMTc3Z6n7AmyEuHR1dfF8Bn0fWX4DW7mdn5/H2tqaYeB+/fo1n2DpzTFEUcTnn39uyXswO3yx88qyjEQigYGBgYqr1JVwqn1DEMTbQ7Wdl1q19ubNmygUCvy1pmm8rX7ni03GpqamkE6nsbq6inw+bzmfIAiIRqO4cOFCQ3RWv/MlSRIuXLiA9vb2mnQ2GAwiHo/zhS3SWYLYHmgniyB2kEorgtVWXxmyLFtCRuzOp985UlUVt27dwtDQECRJsuRutba2GmLxzX1UFIUP7manqsOHDxtWW/WDeiQSMbhUjY6O8l2qO3fuWM7FnL3qXTGtZxeQIIiDj9POSy1aK8syJicnDe+JomjbNpVKcS0rl8tYWVmx1dmOjg589dVXFftYj87qowZYtAA7F+ksQewdaCeLIPYAtca937t3D9PT0/x1OBzGl19+aWmnqqoh5h4Ad9QyOwlGo1FEIpGKfXNyT9S7V5k/u3DhAgqFAl/5jMfjPJeio6MDiqLA4/EY3LAq5V85Qe5XBEHUSi1ae+/ePUxNTfHXPp8Pf/rTn2zb/vzzz5ifn+evQ6EQLly4AEVRsLi4yDV4dXUVHR0dFfVtszr72Wef8T6TzhLE3oImWQSxR3AyumCYB+JgMAiPx2M5JhAIoFwu80GRDazxeBwvX77EzMwMb1sqlXDv3j0Ui0XbyZb+oWRoaAhnzpwxhLlU+gwAD1lkISqsn4VCAaurq3j//fcNx2xmZdTJgpkgCMJMNa01a8rZs2cxNzdnGybn8XiQTqd5eYqLFy/yULypqSk+AdM0jS862WntduhsIBCAx+NBuVzmky7SWYLYOcjCnSD2GbIsI5VKcUtgJ1tdO2tifdiH2bBieHi4YYUmr1+/jvHxcf6aWQQ7WQLXaqVcy30SBEFsFr1VPDOlqKS1lfRnJ7S2ks6ar6/vO+ksQewMtJNFEPuMQCCAqakpHs5SKXSj0oCotxhWVdWQO6A30aiG2d7YvKqpX/lkzlaRSKRi2Al7ILBbka3lO6nHKIMgCMIJpinpdNoxTM5p4lEoFPD69Wu0t7fjzZs3FQ2LnNiszgL2IX6qqpLOEsQOQZMsgthj1OLgVC10w2nCIssyvv/+exSLRZTLZUPeVltbGw4dOlR1EGWOWoVCAfPz80in05Z8AzaZy2az0DQNuVwOwWDQ4ICl7/vNmze5KxfF/BMEsZ3U6pTnpLXVdPbatWvI5/MoFovo6urC3NwcP+/Jkydx5syZqn3crM4GAgHbvqdSKdJZgtghaJJFEHuIWndztmJTrP9M0zSEw2Fec6VYLNa0umlODNfbG+tJp9PcqENfGNTcd1mWcfv27ZqKYxIEQWyFenbNN1t6w/xZV1cXjhw5widai4uL26qzbMdJ33cApLMEsYMIu90BgiB+w1y0N5PJVGwbj8dx6dKlipbwkiQBgMWm2PzZ+fPncfr0aZ4vUO267ByiKPLXleyNK/XD3PdMJmOwGtbbvxMEQTSSenQWqKy19ehsNBpFa2sr/3wndNbcd9JZgthZaCeLIPYQjXJwclp9tfus3usGAgFuD9ze3s4dterph9N9X7hwgVZXCYLYFkhnSWcJYicgd0GC2GPsloPTbjtH7fb1CYJ4eyCdJZ0liO2GJlkEQRAEQRAEQRANhHKyCIIgCIIgCIIgGghNsgiCIAiCIAiCIBoITbIIgiAIgiAIgiAaCE2yCIIgCIIgCIIgGghNsgiCIAiCIAiCIBoITbIIgiAIgiAIgiAaCE2yCIIgCIIgCIIgGghNsgiCIAiCIAiCIBoITbIIgiAIgiAIgiAaCE2yCIIgCIIgCIIgGghNsgiCIAiCIAiCIBoITbIIgiAIgiAIgiAaCE2yCIIgCIIgCIIgGghNsgiCIAiCIAiCIBoITbIIgiAIgiAIgiAayP8HmKjXNNUBWa0AAAAASUVORK5CYII=\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from scipy.stats import multivariate_normal\n", "\n", "X_probs = numpy.array([multivariate_normal.pdf(X, model.means_[i], model.covariances_[i]) for i in range(5)]).T\n", "\n", "selector = FeatureBasedSelection(n_samples=100)\n", "selector.fit(X_probs)\n", "\n", "plt.figure(figsize=(12, 4))\n", "plt.subplot(121)\n", "plt.title(\"Gaussian Blob Data\", fontsize=14)\n", "plt.scatter(*X.T, color='0.5', s=10)\n", "plt.scatter(*model.means_.T, color='b', s=10)\n", "plt.axis('off')\n", "\n", "plt.subplot(122)\n", "plt.title(\"Feature Based Selected Examples\", fontsize=14)\n", "plt.scatter(*X.T, color='0.5', s=10)\n", "plt.scatter(*model.means_.T, color='b', s=10, label=\"GMM Centroids\")\n", "plt.scatter(*X[selector.ranking].T, color='#FF6600', s=10, label=\"Selected Examples\")\n", "plt.axis('off')\n", "plt.legend(loc=(1.01, 0.5), fontsize=12)\n", "\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "If you've done this correctly, you'll notice that all of the chosen examples are near the centroids of the clusters. \n", "\n", "At this point, you might be wondering \"why do I need submodular optimization to do this?\" because you can just take the examples closest to centroids. The answer is two-fold: first, submodular optimization can be applied to any type of transformation where it may not be obvious how to do it by hand. Second, submodular optimization automatically balances the number of examples chosen per centroid based on their distance. This isn't a particularly complicated task here where all of the clusters are distinct, but consider this example:" ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "numpy.random.seed(0)\n", "centers = numpy.random.normal(100, 4, (5, 2))\n", "X2, _ = make_blobs(n_samples=1000, n_features=2, centers=centers, cluster_std=3, random_state=0)\n", "\n", "model2 = GaussianMixture(5, random_state=0).fit(X2)\n", "X_probs = numpy.array([multivariate_normal.pdf(X2, model2.means_[i], model2.covariances_[i]) for i in range(5)]).T\n", "\n", "selector = FeatureBasedSelection(n_samples=100)\n", "selector.fit(X_probs)\n", "\n", "plt.figure(figsize=(12, 4))\n", "plt.subplot(121)\n", "plt.title(\"Gaussian Blob Data\", fontsize=14)\n", "plt.scatter(*X2.T, color='0.5', s=10)\n", "plt.scatter(*model2.means_.T, color='b', s=10)\n", "plt.axis('off')\n", "\n", "plt.subplot(122)\n", "plt.title(\"Feature Based Selected Examples\", fontsize=14)\n", "plt.scatter(*X2.T, color='0.5', s=10)\n", "plt.scatter(*model2.means_.T, color='b', s=10, label=\"GMM Centroids\")\n", "plt.scatter(*X2[selector.ranking].T, color='#FF6600', s=10, label=\"Selected Examples\")\n", "plt.axis('off')\n", "plt.legend(loc=(1.01, 0.5), fontsize=12)\n", "\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Here, the selected examples are close to one of the centroids, which is arguably in low-data areas and probably have a smaller variance. Because the other four centroids are in data-richer areas their variances likely overlap significantly, and so the chosen examples are in the central region between the three of them. Simply choosing the points near the centroid would not give the same results. This isn't to say that this is always exactly the most representative set from this data, just that this is a case where submodular optimization will provide different results from a simpler approach." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Facility Location Selection\n", "\n", "An alternative to feature-based functions are graph-based functions. These functions operate on a similarity matrix (note: a similarity matrix is the inverse of a distance matrix, where the most similar elements in a distance matrix have a pairwise value of zero whereas the most distant elements in a similarity matrix have a pairwise value of zero) instead of the feature values directly. Graph-based functions are generally more versatile than feature-based ones because any featurization of data can be converted into a similarity graph by calculating the Euclidean distance or correlation between examples, but data types that are inherently graphs can also be operated on. \n", "\n", "A specific graph-based function is the facility location function, which has been used in the past to literally locate new facilities. In this setting, one wants to identify the next location that would serve the most people that are currently underserved without having to move any of the previous locations. The facility location function takes the following form: \n", "\n", "\\begin{equation}\n", "f(X, V) = \\sum\\limits_{v \\in V} \\max\\limits_{x \\in X} \\phi(x, v)\n", "\\end{equation}\n", "where $x$ is a selected example $X$ is the set of already selected examples, $v$ is an unselected example, $V$ is the set of unselected examples, and $\\phi$ is a similarity function that either returns an entry in a pre-defined similarity matrix or calculates the similarity between two examples.\n", "\n", "A challenge with using graph-based functions is that the similarity matrix has to be calculated and stored in memory for efficient computation, which can be challenging for massive data sets. However, it is more versatile because similarities can be calculated that are more informative than simple featurizations." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Greedy Version of K-means Clustering\n", "\n", "A simple way to think about using submodular optimization to optimize a facility location function is that it is a greedy version of k-medoids clustering. As a refresher, k-medoids clustering is similar to k-means except that the cluster centroids must be examples from the training set. It is similar to the difference between calculating the mean and calculating the median. Submodular optimization on a facility location function involves iteratively choosing the example that best explains the previously explained examples, i.e., that maximizes the increase in similarity between all of the examples and all of the chosen examples.\n", "\n", "What does that look like in practice? Implement a facility location selection object to choose 50 examples. You'll notice that, despite being a graph-based function, you can still pass in a feature matrix and it will automatically calculate a similarity graph from that." ] }, { "cell_type": "code", "execution_count": 22, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from apricot import FacilityLocationSelection\n", "\n", "selector = FacilityLocationSelection(n_samples=50)\n", "selector.fit(X)\n", "\n", "plt.figure(figsize=(12, 4))\n", "plt.subplot(121)\n", "plt.title(\"Gaussian Blob Data\", fontsize=14)\n", "plt.scatter(*X.T, color='0.7', s=10)\n", "plt.scatter(*model.means_.T, color='b', s=10)\n", "plt.axis('off')\n", "\n", "plt.subplot(122)\n", "plt.title(\"Facility Location Selected Examples\", fontsize=14)\n", "plt.scatter(*X.T, color='0.7', s=10)\n", "plt.scatter(*model.means_.T, color='b', s=10, label=\"GMM Centroids\")\n", "plt.scatter(*X[selector.ranking].T, color='#FF6600', s=10, label=\"Selected Examples\")\n", "plt.axis('off')\n", "plt.legend(loc=(1.01, 0.5), fontsize=12)\n", "\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The selected examples should appear to be fairly uniformly distributed across the space. If you're noticing a concentration of points anywhere, you may have incorrectly implemented something.\n", "\n", "To get a sense for the selection process, let's visualize the iterative process of selecting examples." ] }, { "cell_type": "code", "execution_count": 23, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(14, 8))\n", "for i in range(10):\n", " plt.subplot(2, 5, i+1)\n", " plt.title(\"{} Selections\".format(i+1), fontsize=14)\n", " plt.scatter(*X.T, color='0.7', s=10)\n", " \n", " if i > 0:\n", " plt.scatter(*X[selector.ranking[:i]].T, color='0.1', s=10, label=\"Selected Examples\")\n", " \n", " plt.scatter(*X[selector.ranking[i]].T, color='#FF6600', s=10, label=\"Next Selection\")\n", " plt.axis('off')\n", "\n", "plt.legend(loc=(1.01, 0.5), fontsize=12)\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "You'll notice that the first example comes from around the center of the data set. As a greedy approach, the optimizer is trying to find the single best example without knowing if it will be able to choose future ones. Then, the second example comes from an underrepresented area, etc." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Digits Data Set\n", "\n", "Now, let's apply facility location functions to choosing data for machine learning. A constraint of the feature-based functions is that they only work when the features follow a particular set of semantics. Although there are powerful approaches for transforming features into new features that follow those semantics, it's also nice to not have to do anything fancy to get a good set of items. A good example of data where the assumptions of feature-based functions don't work out of the box are those that involve images.\n", "\n", "Let's download a reduced version of the digits data set and try training a machine learning model using selected subsets or random subsets, as we did before." ] }, { "cell_type": "code", "execution_count": 24, "metadata": {}, "outputs": [], "source": [ "from sklearn.datasets import load_digits\n", "\n", "random.seed(0)\n", "\n", "X, y = load_digits(return_X_y=True)\n", "\n", "idxs = numpy.arange(X.shape[0])\n", "numpy.random.shuffle(idxs)\n", "\n", "X = X[idxs]\n", "y = y[idxs]\n", "\n", "X_train, y_train = X[:1000], y[:1000]\n", "X_test, y_test = X[1000:], y[1000:]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now, impelment a facility location function to choose 1000 examples and a feature-based function to also choose 1000 examples, for comparison." ] }, { "cell_type": "code", "execution_count": 25, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 25, "metadata": {}, "output_type": "execute_result" } ], "source": [ "fl_selector = FacilityLocationSelection(n_samples=1000)\n", "fl_selector.fit(X_train)\n", "\n", "fb_selector = FeatureBasedSelection(n_samples=1000)\n", "fb_selector.fit(X_train)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's see how the subsets selected using facility location fare against those selected using random selection or feature-based selection." ] }, { "cell_type": "code", "execution_count": 26, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 100/100 [00:17<00:00, 5.73it/s]\n" ] } ], "source": [ "numpy.random.seed(0)\n", "\n", "model = SGDClassifier(random_state=0)\n", "counts = numpy.arange(10, 1001, 10)\n", "\n", "random_idxs = numpy.array([numpy.random.choice(X_train.shape[0], replace=False, size=1000) for i in range(10)])\n", "random_accuracies, fl_accuracies, fb_accuracies = [], [], []\n", "\n", "for count in tqdm(counts):\n", " #\n", " idxs = fl_selector.ranking[:count]\n", " model.fit(X_train[idxs], y_train[idxs])\n", "\n", " y_hat = model.predict(X_test)\n", " acc = (y_hat == y_test).mean()\n", " fl_accuracies.append(acc)\n", "\n", " #\n", " idxs = fb_selector.ranking[:count]\n", " model.fit(X_train[idxs], y_train[idxs])\n", "\n", " y_hat = model.predict(X_test)\n", " acc = (y_hat == y_test).mean()\n", " fb_accuracies.append(acc)\n", " \n", " accs = []\n", " for i in range(10):\n", " r_idxs = random_idxs[i, :count]\n", " model.fit(X_train[r_idxs], y_train[r_idxs])\n", "\n", " y_hat = model.predict(X_test)\n", " acc = (y_hat == y_test).mean()\n", " accs.append(acc)\n", " \n", " random_accuracies.append(accs)" ] }, { "cell_type": "code", "execution_count": 27, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.title(\"Reduced MNIST Classification\", fontsize=14)\n", "plt.plot(counts, numpy.mean(random_accuracies, axis=1), color='0.5', linewidth=2, label=\"Random\")\n", "plt.plot(counts, fl_accuracies, color='#FF6600', linewidth=2, label=\"Facility Location Optimization\")\n", "plt.plot(counts, fb_accuracies, color='g', linewidth=2, label=\"Feature-Based Optimization\")\n", "\n", "plt.xlabel(\"# Chosen Examples\", fontsize=12)\n", "plt.ylabel(\"Classification Accuracy\")\n", "plt.legend(loc=4, fontsize=12)\n", "\n", "seaborn.despine()\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Looks like the facility location function achieves high accuracy with only a small number of examples! Using only 40 examples achieves almost 90% accuracy, whereas it takes almost 200 randomly selected examples to get hat performance on average. " ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.4" } }, "nbformat": 4, "nbformat_minor": 4 } jmschrei-apricot-bf86e69/tutorials/Workshop Tutorial 1. Practical Apricot Usage - Worksheet.ipynb000066400000000000000000001115171414554015600326560ustar00rootroot00000000000000{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Workshop Tutorial 1: Practical Apricot Usage\n", "\n", "Welcome to a tutorial on how to reduce redundancy in massive data sets using submodular optimization! In this tutorial, we will explore submodular optimization at a high level and see how it can be used to select representative subsets of data; these subsets can then be used on their own, such as to create a highlight reel for an album, or to create smaller training sets for machine learning models that achieve similar performance in a fraction of the time. Although submodular optimization is as general-purpose as convex optimization, this tutorial will focus on using basic optimization algorithms on two main functions: a feature-based function, and facility location functions. Finally, this tutorial will focus on practical usage of apricot. Please see the other tutorials for more of the theory behind how these functions work. \n", "\n", "Let's get started!" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "%pylab inline\n", "import seaborn\n", "seaborn.set_style('whitegrid')\n", "\n", "from tqdm import tqdm" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Feature-based Selection\n", "\n", "A simple class of submodular functions are the feature-based ones. At a high level, feature-based functions are those that maximize diversity in the observed feature values themselves. This property means that they work well in settings where each feature represents some quality of the data and higher values mean that the example has more of that value: for instance, when vectorizing text data, each feature might represent a word and the value would be the number of times that the word appears in the document.\n", "\n", "More formally, feature-based functions take the form\n", "\n", "\\begin{equation}\n", "f(X) = \\sum\\limits_{u \\in U} w_{u} \\phi_{u} \\left( \\sum\\limits_{x \\in X} m_{u}(x) \\right)\n", "\\end{equation}\n", "where $x$ is a single example, $X$ is the set of all examples, $u$ is a single feature, $U$ is the set of all features, $w$ is a weight foe each feature, and $\\phi$ is a saturating concave function such as log or sqrt." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 20 newsgroups\n", "\n", "Let's start off with some text data. Below, some code is provided to download a shuffled version of the 20 newsgroups data set, which contains articles and labels for 20 topics. However, as we can see, the downloaded text is not in a convenient featurized form that can be used by machine learning models." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "from sklearn.datasets import fetch_20newsgroups\n", "\n", "train_data = fetch_20newsgroups(subset='train', random_state=0, shuffle=True)\n", "train_data.data[2]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Processing this to get rid of the weird characters like \"\\n\" and converting it to a vectorized form is not really the point of this tutorial, so let's use sklearn's built-in vectorizer to get a clean feature matrix to operate on. Please fill in the below cells." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "from sklearn.feature_extraction.text import CountVectorizer\n", "\n", "vectorizer = ...\n", "\n", "X_train = ...\n", "X_train.shape" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's take a look at how dense that data is. We can do this by creating a heatmap where each red dot represents that the feature hasa non-zero value. If you implemented the above code correctly you should get a density of 0.08395." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "i = 1000\n", "\n", "X_random_block = X_train[:i].toarray()\n", "random_density = (X_random_block != 0).mean()\n", "\n", "plt.figure(figsize=(12, 6))\n", "plt.scatter(*numpy.where(X_random_block.T[:i] != 0), c='r', s=0.05)\n", "plt.xlim(0, i)\n", "plt.ylim(0, i)\n", "\n", "plt.title(\"Words in Text Blobs: Density={:4.4}\".format(random_density), fontsize=14)\n", "plt.xlabel(\"Word Index\", fontsize=12)\n", "plt.ylabel(\"Text Blob Index\", fontsize=12)\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The above heat map is made up of the first 1000 entries in the data set after shuffling. It doesn't seem particularly dense; fewer than 10% of the values in the matrix are positive. This may not be particularly problematic when restricting to 1000 features, but since more features generally means more accuracy in this setting, is there a way to ensure that our subset sees a higher percentage of the features?\n", "\n", "Well, choosing examples that exhibit values in a diverse set of features is exactly what submodular optimization and feature based functions are good at. We can define a feature-based function easily using apricot, choose an equal sized subset of examples using submodular optimization, and re-visualize the chosen examples.\n", "\n", "Fill in the next code block, using a feature-based selector to choose 1000 samples with everything else set to the default parameters. You can also set `verbose=True` to see a progress bar during selection. Note that, while apricot can operate on sparse matrices, you might need to use the `toarray()` method to convert a sparse array to a dense array for the subsequent visualization step." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "from apricot import FeatureBasedSelection\n", "\n", "selector = ...\n", "\n", "X_submodular_block = ..." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now that you've selected the examples, we can visualize the block in the same way that we visualized the randomly selected examples. If you implemented the selector correctly, you should get a density of 0.2103. Visually, the heatmap should also look significantly more red. This is because we are intentionally choosing examples that have many non-zero values, i.e., rows that would have red in a lot of columns." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "submodular_density = (X_submodular_block != 0).mean()\n", "\n", "plt.figure(figsize=(12, 6))\n", "plt.scatter(*numpy.where(X_submodular_block.T[:i] != 0), c='r', s=0.05)\n", "plt.xlim(0, i)\n", "plt.ylim(0, i)\n", "\n", "plt.title(\"Words in Text Blobs: Density={:4.4}\".format(submodular_density), fontsize=14)\n", "plt.xlabel(\"Word Index\", fontsize=12)\n", "plt.ylabel(\"Text Blob Index\", fontsize=12)\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Next, we can take a look at the number of words that are observed at least once as we select more and more examples, either randomly, or using submodular optimization. If your implementation of selecting a subset of examples using apricot is correct you should see that a larger number of words are observed earlier in the selection process when submodular optimization is used. You do not need to do anything here. " ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "random_seen_words = (numpy.cumsum(X_random_block, axis=0) > 0).sum(axis=1)\n", "submodular_seen_words = (numpy.cumsum(X_submodular_block, axis=0) > 0).sum(axis=1)\n", "\n", "plt.figure(figsize=(12, 4))\n", "plt.subplot(121)\n", "plt.title(\"# Total Uniques Words Seen\", fontsize=14)\n", "plt.plot(random_seen_words, color='0.5', linewidth=2, label=\"Random\")\n", "plt.plot(submodular_seen_words, color='#FF6600', linewidth=2, label=\"Submodular Optimization\")\n", "plt.xlabel(\"# Examples Chosen\", fontsize=12)\n", "plt.ylabel(\"# Words Seen At Least Once\", fontsize=12)\n", "plt.legend(fontsize=12)\n", "\n", "plt.subplot(122)\n", "plt.title(\"# New Words Seen per Example\", fontsize=14)\n", "plt.plot(numpy.diff(random_seen_words), color='0.5', linewidth=2, label=\"Random\")\n", "plt.plot(numpy.diff(submodular_seen_words), color='#FF6600', linewidth=2, label=\"Submodular Optimization\")\n", "plt.xlabel(\"# Examples Chosen\", fontsize=12)\n", "plt.ylabel(\"# New Words in Example\", fontsize=12)\n", "plt.legend(fontsize=12)\n", "\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Next, we're going to move on to the primary goal of apricot: choosing subsets for training machine learning models. Unfortunately, this is not always straightforward. As an example, we are going to consider classifying a subset of classes from the 20 newsgroups data set. Here are the classes." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "fetch_20newsgroups(subset=\"train\").target_names" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "As an initial example, we will focus on two classes that are somewhat related conceptually but will likely have distinct vocabularies. We will use the TF-IDF vectorizer instead of the count vectorizer because TF-IDF is a straightforward way to downweight words that appear in many articles and to upweight words that are somewhat rare and more likely to be topic-specific. Please fill in the below code involving processing the training and test data properly." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "from sklearn.feature_extraction.text import TfidfVectorizer\n", "from sklearn.linear_model import SGDClassifier\n", "\n", "categories = ['sci.med', 'sci.space']\n", "\n", "train_data = fetch_20newsgroups(subset='train', categories=categories, random_state=0, shuffle=True)\n", "test_data = fetch_20newsgroups(subset='test', categories=categories, random_state=0)\n", "\n", "vectorizer = ...\n", "\n", "X_train = ...\n", "X_test = ...\n", "\n", "y_train = ...\n", "y_test = ...\n", "\n", "X_train.shape, X_test.shape, y_train.shape, y_test.shape" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Next, use a feature-based function to select 1000 examples from the training data. 1000 examples is almost all of the data, but because the selection process is greedy we can use it to rank most of the data and then choose increasingly large subsets to train the model." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "selector = ..." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now, let's train a SGG classifier on subsets of increasing size and compare to ten draws of similarly sized random subsets. Please fill in the below code, keeping in mind that the `selector.ranking` attribute contains a ranking of indices from the original data set. For example, if the first element was `10`, that would mean that `X_train[10]` was the first element chosen by the greedy optimization process." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "model = SGDClassifier(random_state=0)\n", "counts = numpy.arange(10, 1001, 10)\n", "\n", "random_idxs = numpy.array([numpy.random.choice(X_train.shape[0], replace=False, size=1000) for i in range(10)])\n", "random_accuracies, submodular_accuracies = [], []\n", "\n", "for count in tqdm(counts):\n", " idxs = selector.ranking[:count]\n", " \n", " ...\n", "\n", " y_hat = model.predict(X_test)\n", " acc = (y_hat == y_test).mean()\n", " submodular_accuracies.append(acc)\n", " \n", " accs = []\n", " for i in range(10):\n", " r_idxs = random_idxs[i, :count]\n", " \n", " ...\n", "\n", " y_hat = model.predict(X_test)\n", " acc = (y_hat == y_test).mean()\n", " accs.append(acc)\n", " \n", " random_accuracies.append(accs)\n", "\n", "plt.title(\"20 Newsgroups Classification\", fontsize=14)\n", "plt.plot(counts, numpy.mean(random_accuracies, axis=1), color='0.5', linewidth=2, label=\"Random\")\n", "plt.plot(counts, submodular_accuracies, color='#FF6600', linewidth=2, label=\"Submodular Optimization\")\n", "\n", "plt.xlabel(\"# Chosen Examples\", fontsize=12)\n", "plt.ylabel(\"Classification Accuracy\")\n", "plt.legend(loc=4, fontsize=12)\n", "\n", "seaborn.despine()\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Looks like we can get almost the same performance with just 100 examples (~93% with submodular optimization and ~85% with random selection) as we could with the full set of 1000 examples. It is worth noting that there is a lot of variance when the number of examples chosen is very small, but that performance picks up pretty quickly. If you're not seeing these trends, it's possible that you implemented something incorrectly.\n", "\n", "If you'd like to explore apricot's abilities more broadly, try out the above cells using different sets of categories from the 20 newsgroups corpus and different types of classifiers. " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### A Warning: Gaussian Blobs\n", "\n", "Unfortunately, not all data is amenable to feature-based functions. Specifically, data sets where the features don't follow the semantics that are assumed, i.e., non-negative and a higher value conveys some notion of having \"more\" of some feature. If you have features like coordinates or embeddings from a pre-trained model or projections from a method like tSNE or UMAP, they may not work as you'd like.\n", "\n", "Here, we will look at using data drawn from random Gaussian blobs." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "from sklearn.datasets import make_blobs\n", "\n", "numpy.random.seed(0)\n", "centers = numpy.random.normal(100, 5, (5, 2))\n", "X, y = make_blobs(n_samples=2500, n_features=2, centers=centers, random_state=0)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This time, we will fill in how to use a selector for you." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "selector = FeatureBasedSelection(n_samples=100)\n", "selector.fit(X)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now, let's apply the selector and get our representative subset!" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "plt.figure(figsize=(12, 4))\n", "plt.subplot(121)\n", "plt.title(\"Gaussian Blob Data\", fontsize=14)\n", "plt.scatter(*X.T, color='0.5', s=10)\n", "plt.axis('off')\n", "\n", "plt.subplot(122)\n", "plt.title(\"Feature Based Selected Examples\", fontsize=14)\n", "plt.scatter(*X.T, color='0.5', s=10)\n", "plt.scatter(*X[selector.ranking].T, color='#FF6600', s=10, label=\"Selected Examples\")\n", "plt.axis('off')\n", "plt.legend(loc=(1.01, 0.5), fontsize=12)\n", "\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Oops. That doesn't look like a representative subset.\n", "\n", "Does this mean that feature-based functions cannot work in settings where the data doesn't have the same semantics as our assumptions? No! We just need to engineer features that do follow those semantics." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Feature Engineering for Feature-based Functions: Gaussian Mixture Models\n", "\n", "Potentially, one of the most straightforward ways to transform this Gaussian data would be to, first, apply a Gaussian mixture model to it, and second, use the posterior probabilities from that model as the features. Basically, instead of applying submodular optimization to the original feature values themselves, we apply them to the predicted class probabilities from the mixture model. These probabilities have all the properties that we would like: (1) because they are between zero and one they must be non-negative, (2) a higher value means an enrichment for that feature, i.e., a higher probability means an enrichment for class membership from that class.\n", "\n", "Using the `GaussianMixture` object below, transform the above data from in `X` from the original feature values into the posterior probabilities. Because the data was generated from five clusters, your mixture should have five components. If done correctly, the resulting shape should be `(2500, 5)`." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "from sklearn.mixture import GaussianMixture\n", "\n", "model = ...\n", "X_posteriors = ...\n", "X_posteriors.shape" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now, apply a feature-based selector as you've done in the past." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "selector = FeatureBasedSelection(n_samples=100)\n", "selector.fit(...)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now, let's plot the mixture centroids as well as the selected examples." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "plt.figure(figsize=(12, 4))\n", "plt.subplot(121)\n", "plt.title(\"Gaussian Blob Data\", fontsize=14)\n", "plt.scatter(*X.T, color='0.5', s=10)\n", "plt.scatter(*model.means_.T, color='b', s=10)\n", "plt.axis('off')\n", "\n", "plt.subplot(122)\n", "plt.title(\"Feature Based Selected Examples\", fontsize=14)\n", "plt.scatter(*X.T, color='0.5', s=10)\n", "plt.scatter(*model.means_.T, color='b', s=10, label=\"GMM Centroids\")\n", "plt.scatter(*X[selector.ranking].T, color='#FF6600', s=10, label=\"Selected Examples\")\n", "plt.axis('off')\n", "plt.legend(loc=(1.01, 0.5), fontsize=12)\n", "\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Does this look like what you might expect?\n", "\n", "If not, think more closely about the feature-based function and the data here. The sum of each example should be equal to one, so there are no examples that have a higher coverage of the feature space than other examples. However, the feature-based function includes a saturation function that diminishes the benefit of high values in one feature versus spreading them out across several features. Combined, these facts mean that the method will always try to choose examples that are split between multiple classes. Put another way, `numpy.sqrt([0.5, 0.5]).sum() = 1.414` is larger than `numpy.sqrt([1.0, 0]).sum() = 1.0`.\n", "\n", "Regardless of the explanation, this isn't exactly what we were expecting. What we'd like to do is have a way that our feature-based function can select examples near the middle of each cluster without needing cluster labels. The problem with using the posteriors, which are normalized to sum to 1, is that examples that are purest for a particular cluster are not the ones closest to the centroid but rather the ones that are on the other side of the centroid as all the other centroids. \n", "\n", "What does that mean? Well, let's use a simple trick to try to pick out the purest examples from each cluster. First, we need to transform these values such that values near one become bigger, so that purity is valued higher, but values near zero remain the same. We can use an `arctanh` function for that, but you should try out any other function you'd like to see the effects. Below is an example `arctanh` function." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "x = numpy.arange(0, 1, 0.001)\n", "plt.plot(x, numpy.arctanh(x))\n", "plt.title(\"Example Non-Linear Function\", fontsize=14)\n", "plt.xlabel(\"x\", fontsize=12)\n", "plt.ylabel(\"arctanh(x)\", fontsize=12)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "X_arctanh = numpy.arctanh(X_posteriors - 1e-12) + 1e-12\n", "\n", "selector = FeatureBasedSelection(n_samples=100)\n", "selector.fit(X_arctanh)\n", "\n", "plt.figure(figsize=(12, 4))\n", "plt.subplot(121)\n", "plt.title(\"Gaussian Blob Data\", fontsize=14)\n", "plt.scatter(*X.T, color='0.5', s=10)\n", "plt.scatter(*model.means_.T, color='b', s=10)\n", "plt.axis('off')\n", "\n", "plt.subplot(122)\n", "plt.title(\"Feature Based Selected Examples\", fontsize=14)\n", "plt.scatter(*X.T, color='0.5', s=10)\n", "plt.scatter(*model.means_.T, color='b', s=10, label=\"GMM Centroids\")\n", "plt.scatter(*X[selector.ranking].T, color='#FF6600', s=10, label=\"Selected Examples\")\n", "plt.axis('off')\n", "plt.legend(loc=(1.01, 0.5), fontsize=12)\n", "\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can see some interesting trends here. Unlike the previous plot where all the chosen examples were near boundaries, most of the chosen examples are on very edge of the convex hull. A notable exception, however, is the top cluster. This is likely because the top cluster is so far away from the others that any example in it is considered \"pure.\" \n", "\n", "Finally, let's get to the expected behavior. We would like to design a transformation such that our selection chooses elements that are neat representations of each cluster individually. We saw previously that using the normalized posterior probabilities can be an issue because the normalization process encourages the chosen examples to be far away from the other centroids, rather than close to any particular centroid. If we get rid of that normalization process and instead use the raw probabilities that each example belongs to a particular mixture component, we can get around this.\n", "\n", "In the cell below, use the `multivariate_normal` method from scipy to calculate an array of probabilities for each example under each mixture component. Hint: you will need to do this separately for each component as part of a loop. Make sure that your final output is of shape `(n_samples, 5)`." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "from scipy.stats import multivariate_normal\n", "\n", "X_probs = ...\n", "\n", "selector = FeatureBasedSelection(n_samples=100)\n", "selector.fit(X_probs)\n", "\n", "plt.figure(figsize=(12, 4))\n", "plt.subplot(121)\n", "plt.title(\"Gaussian Blob Data\", fontsize=14)\n", "plt.scatter(*X.T, color='0.5', s=10)\n", "plt.scatter(*model.means_.T, color='b', s=10)\n", "plt.axis('off')\n", "\n", "plt.subplot(122)\n", "plt.title(\"Feature Based Selected Examples\", fontsize=14)\n", "plt.scatter(*X.T, color='0.5', s=10)\n", "plt.scatter(*model.means_.T, color='b', s=10, label=\"GMM Centroids\")\n", "plt.scatter(*X[selector.ranking].T, color='#FF6600', s=10, label=\"Selected Examples\")\n", "plt.axis('off')\n", "plt.legend(loc=(1.01, 0.5), fontsize=12)\n", "\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "If you've done this correctly, you'll notice that all of the chosen examples are near the centroids of the clusters. \n", "\n", "At this point, you might be wondering \"why do I need submodular optimization to do this?\" because you can just take the examples closest to centroids. The answer is two-fold: first, submodular optimization can be applied to any type of transformation where it may not be obvious how to do it by hand. Second, submodular optimization automatically balances the number of examples chosen per centroid based on their distance. This isn't a particularly complicated task here where all of the clusters are distinct, but consider this example:" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "numpy.random.seed(0)\n", "centers = numpy.random.normal(100, 4, (5, 2))\n", "X2, _ = make_blobs(n_samples=1000, n_features=2, centers=centers, cluster_std=3, random_state=0)\n", "\n", "model2 = GaussianMixture(5, random_state=0).fit(X2)\n", "X_probs = numpy.array([multivariate_normal.pdf(X2, model2.means_[i], model2.covariances_[i]) for i in range(5)]).T\n", "\n", "selector = FeatureBasedSelection(n_samples=100)\n", "selector.fit(X_probs)\n", "\n", "plt.figure(figsize=(12, 4))\n", "plt.subplot(121)\n", "plt.title(\"Gaussian Blob Data\", fontsize=14)\n", "plt.scatter(*X2.T, color='0.5', s=10)\n", "plt.scatter(*model2.means_.T, color='b', s=10)\n", "plt.axis('off')\n", "\n", "plt.subplot(122)\n", "plt.title(\"Feature Based Selected Examples\", fontsize=14)\n", "plt.scatter(*X2.T, color='0.5', s=10)\n", "plt.scatter(*model2.means_.T, color='b', s=10, label=\"GMM Centroids\")\n", "plt.scatter(*X2[selector.ranking].T, color='#FF6600', s=10, label=\"Selected Examples\")\n", "plt.axis('off')\n", "plt.legend(loc=(1.01, 0.5), fontsize=12)\n", "\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Here, the selected examples are close to one of the centroids, which is arguably in low-data areas and probably have a smaller variance. Because the other four centroids are in data-richer areas their variances likely overlap significantly, and so the chosen examples are in the central region between the three of them. Simply choosing the points near the centroid would not give the same results. This isn't to say that this is always exactly the most representative set from this data, just that this is a case where submodular optimization will provide different results from a simpler approach." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Facility Location Selection\n", "\n", "An alternative to feature-based functions are graph-based functions. These functions operate on a similarity matrix (note: a similarity matrix is the inverse of a distance matrix, where the most similar elements in a distance matrix have a pairwise value of zero whereas the most distant elements in a similarity matrix have a pairwise value of zero) instead of the feature values directly. Graph-based functions are generally more versatile than feature-based ones because any featurization of data can be converted into a similarity graph by calculating the Euclidean distance or correlation between examples, but data types that are inherently graphs can also be operated on. \n", "\n", "A specific graph-based function is the facility location function, which has been used in the past to literally locate new facilities. In this setting, one wants to identify the next location that would serve the most people that are currently underserved without having to move any of the previous locations. The facility location function takes the following form: \n", "\n", "\\begin{equation}\n", "f(X, V) = \\sum\\limits_{v \\in V} \\max\\limits_{x \\in X} \\phi(x, v)\n", "\\end{equation}\n", "where $x$ is a selected example $X$ is the set of already selected examples, $v$ is an unselected example, $V$ is the set of unselected examples, and $\\phi$ is a similarity function that either returns an entry in a pre-defined similarity matrix or calculates the similarity between two examples.\n", "\n", "A challenge with using graph-based functions is that the similarity matrix has to be calculated and stored in memory for efficient computation, which can be challenging for massive data sets. However, it is more versatile because similarities can be calculated that are more informative than simple featurizations." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Greedy Version of K-means Clustering\n", "\n", "A simple way to think about using submodular optimization to optimize a facility location function is that it is a greedy version of k-medoids clustering. As a refresher, k-medoids clustering is similar to k-means except that the cluster centroids must be examples from the training set. It is similar to the difference between calculating the mean and calculating the median. Submodular optimization on a facility location function involves iteratively choosing the example that best explains the previously explained examples, i.e., that maximizes the increase in similarity between all of the examples and all of the chosen examples.\n", "\n", "What does that look like in practice? Implement a facility location selection object to choose 50 examples. You'll notice that, despite being a graph-based function, you can still pass in a feature matrix and it will automatically calculate a similarity graph from that." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "from apricot import FacilityLocationSelection\n", "\n", "selector = ...\n", "\n", "plt.figure(figsize=(12, 4))\n", "plt.subplot(121)\n", "plt.title(\"Gaussian Blob Data\", fontsize=14)\n", "plt.scatter(*X.T, color='0.7', s=10)\n", "plt.scatter(*model.means_.T, color='b', s=10)\n", "plt.axis('off')\n", "\n", "plt.subplot(122)\n", "plt.title(\"Facility Location Selected Examples\", fontsize=14)\n", "plt.scatter(*X.T, color='0.7', s=10)\n", "plt.scatter(*model.means_.T, color='b', s=10, label=\"GMM Centroids\")\n", "plt.scatter(*X[selector.ranking].T, color='#FF6600', s=10, label=\"Selected Examples\")\n", "plt.axis('off')\n", "plt.legend(loc=(1.01, 0.5), fontsize=12)\n", "\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The selected examples should appear to be fairly uniformly distributed across the space. If you're noticing a concentration of points anywhere, you may have incorrectly implemented something.\n", "\n", "To get a sense for the selection process, let's visualize the iterative process of selecting examples." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "plt.figure(figsize=(14, 8))\n", "for i in range(10):\n", " plt.subplot(2, 5, i+1)\n", " plt.title(\"{} Selections\".format(i+1), fontsize=14)\n", " plt.scatter(*X.T, color='0.7', s=10)\n", " \n", " if i > 0:\n", " plt.scatter(*X[selector.ranking[:i]].T, color='0.1', s=10, label=\"Selected Examples\")\n", " \n", " plt.scatter(*X[selector.ranking[i]].T, color='#FF6600', s=10, label=\"Next Selection\")\n", " plt.axis('off')\n", "\n", "plt.legend(loc=(1.01, 0.5), fontsize=12)\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "You'll notice that the first example comes from around the center of the data set. As a greedy approach, the optimizer is trying to find the single best example without knowing if it will be able to choose future ones. Then, the second example comes from an underrepresented area, etc." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Digits Data Set\n", "\n", "Now, let's apply facility location functions to choosing data for machine learning. A constraint of the feature-based functions is that they only work when the features follow a particular set of semantics. Although there are powerful approaches for transforming features into new features that follow those semantics, it's also nice to not have to do anything fancy to get a good set of items. A good example of data where the assumptions of feature-based functions don't work out of the box are those that involve images.\n", "\n", "Let's download a reduced version of the digits data set and try training a machine learning model using selected subsets or random subsets, as we did before." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "from sklearn.datasets import load_digits\n", "\n", "random.seed(0)\n", "\n", "X, y = load_digits(return_X_y=True)\n", "\n", "idxs = numpy.arange(X.shape[0])\n", "numpy.random.shuffle(idxs)\n", "\n", "X = X[idxs]\n", "y = y[idxs]\n", "\n", "X_train, y_train = X[:1000], y[:1000]\n", "X_test, y_test = X[1000:], y[1000:]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now, impelment a facility location function to choose 1000 examples and a feature-based function to also choose 1000 examples, for comparison." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "fl_selector = ...\n", "\n", "fb_selector = ..." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's see how the subsets selected using facility location fare against those selected using random selection or feature-based selection." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "numpy.random.seed(0)\n", "\n", "model = SGDClassifier(random_state=0)\n", "counts = numpy.arange(10, 1001, 10)\n", "\n", "random_idxs = numpy.array([numpy.random.choice(X_train.shape[0], replace=False, size=1000) for i in range(10)])\n", "random_accuracies, fl_accuracies, fb_accuracies = [], [], []\n", "\n", "for count in tqdm(counts):\n", " #\n", " idxs = ...\n", "\n", " y_hat = model.predict(X_test)\n", " acc = (y_hat == y_test).mean()\n", " fl_accuracies.append(acc)\n", "\n", " #\n", " idxs = ...\n", "\n", " y_hat = model.predict(X_test)\n", " acc = (y_hat == y_test).mean()\n", " fb_accuracies.append(acc)\n", " \n", " accs = []\n", " for i in range(10):\n", " r_idxs = random_idxs[i, :count]\n", " ...\n", " \n", " y_hat = model.predict(X_test)\n", " acc = (y_hat == y_test).mean()\n", " accs.append(acc)\n", " \n", " random_accuracies.append(accs)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "plt.title(\"Reduced MNIST Classification\", fontsize=14)\n", "plt.plot(counts, numpy.mean(random_accuracies, axis=1), color='0.5', linewidth=2, label=\"Random\")\n", "plt.plot(counts, fl_accuracies, color='#FF6600', linewidth=2, label=\"Facility Location Optimization\")\n", "plt.plot(counts, fb_accuracies, color='g', linewidth=2, label=\"Feature-Based Optimization\")\n", "\n", "plt.xlabel(\"# Chosen Examples\", fontsize=12)\n", "plt.ylabel(\"Classification Accuracy\")\n", "plt.legend(loc=4, fontsize=12)\n", "\n", "seaborn.despine()\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Looks like the facility location function achieves high accuracy with only a small number of examples! Using only 40 examples achieves almost 90% accuracy, whereas it takes almost 200 randomly selected examples to get hat performance on average. " ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.4" } }, "nbformat": 4, "nbformat_minor": 4 } jmschrei-apricot-bf86e69/tutorials/airports.csv000077500000000000000000042314711414554015600220420ustar00rootroot000000000000001,"Goroka Airport","Goroka","Papua New Guinea","GKA","AYGA",-6.081689834590001,145.391998291,5282,10,"U","Pacific/Port_Moresby","airport","OurAirports" 2,"Madang Airport","Madang","Papua New Guinea","MAG","AYMD",-5.20707988739,145.789001465,20,10,"U","Pacific/Port_Moresby","airport","OurAirports" 3,"Mount Hagen Kagamuga Airport","Mount Hagen","Papua New Guinea","HGU","AYMH",-5.826789855957031,144.29600524902344,5388,10,"U","Pacific/Port_Moresby","airport","OurAirports" 4,"Nadzab Airport","Nadzab","Papua New Guinea","LAE","AYNZ",-6.569803,146.725977,239,10,"U","Pacific/Port_Moresby","airport","OurAirports" 5,"Port Moresby Jacksons International Airport","Port Moresby","Papua New Guinea","POM","AYPY",-9.443380355834961,147.22000122070312,146,10,"U","Pacific/Port_Moresby","airport","OurAirports" 6,"Wewak International Airport","Wewak","Papua New Guinea","WWK","AYWK",-3.58383011818,143.669006348,19,10,"U","Pacific/Port_Moresby","airport","OurAirports" 7,"Narsarsuaq Airport","Narssarssuaq","Greenland","UAK","BGBW",61.1604995728,-45.4259986877,112,-3,"E","America/Godthab","airport","OurAirports" 8,"Godthaab / Nuuk Airport","Godthaab","Greenland","GOH","BGGH",64.19090271,-51.6781005859,283,-3,"E","America/Godthab","airport","OurAirports" 9,"Kangerlussuaq Airport","Sondrestrom","Greenland","SFJ","BGSF",67.0122218992,-50.7116031647,165,-3,"E","America/Godthab","airport","OurAirports" 10,"Thule Air Base","Thule","Greenland","THU","BGTL",76.5311965942,-68.7032012939,251,-4,"E","America/Thule","airport","OurAirports" 11,"Akureyri Airport","Akureyri","Iceland","AEY","BIAR",65.66000366210938,-18.07270050048828,6,0,"N","Atlantic/Reykjavik","airport","OurAirports" 12,"Egilsstaðir Airport","Egilsstadir","Iceland","EGS","BIEG",65.2833023071289,-14.401399612426758,76,0,"N","Atlantic/Reykjavik","airport","OurAirports" 13,"Hornafjörður Airport","Hofn","Iceland","HFN","BIHN",64.295601,-15.2272,24,0,"N","Atlantic/Reykjavik","airport","OurAirports" 14,"Húsavík Airport","Husavik","Iceland","HZK","BIHU",65.952301,-17.426001,48,0,"N","Atlantic/Reykjavik","airport","OurAirports" 15,"Ãsafjörður Airport","Isafjordur","Iceland","IFJ","BIIS",66.05809783935547,-23.135299682617188,8,0,"N","Atlantic/Reykjavik","airport","OurAirports" 16,"Keflavik International Airport","Keflavik","Iceland","KEF","BIKF",63.985000610352,-22.605600357056,171,0,"N","Atlantic/Reykjavik","airport","OurAirports" 17,"Patreksfjörður Airport","Patreksfjordur","Iceland","PFJ","BIPA",65.555801,-23.965,11,0,"N","Atlantic/Reykjavik","airport","OurAirports" 18,"Reykjavik Airport","Reykjavik","Iceland","RKV","BIRK",64.1299972534,-21.9405994415,48,0,"N","Atlantic/Reykjavik","airport","OurAirports" 19,"Siglufjörður Airport","Siglufjordur","Iceland","SIJ","BISI",66.133301,-18.9167,10,0,"N","Atlantic/Reykjavik","airport","OurAirports" 20,"Vestmannaeyjar Airport","Vestmannaeyjar","Iceland","VEY","BIVM",63.42430114746094,-20.278900146484375,326,0,"N","Atlantic/Reykjavik","airport","OurAirports" 21,"Sault Ste Marie Airport","Sault Sainte Marie","Canada","YAM","CYAM",46.48500061035156,-84.5093994140625,630,-5,"A","America/Toronto","airport","OurAirports" 22,"Winnipeg / St. Andrews Airport","Winnipeg","Canada",\N,"CYAV",50.0564002991,-97.03250122070001,760,-6,"A","America/Winnipeg","airport","OurAirports" 23,"Halifax / CFB Shearwater Heliport","Halifax","Canada",\N,"CYAW",44.639702,-63.499401,144,-4,"A","America/Halifax","airport","OurAirports" 24,"St. Anthony Airport","St. Anthony","Canada","YAY","CYAY",51.3918991089,-56.083099365200006,108,-3.5,"A","America/St_Johns","airport","OurAirports" 25,"Tofino / Long Beach Airport","Tofino","Canada","YAZ","CYAZ",49.079833,-125.775583,80,-8,"A","America/Vancouver","airport","OurAirports" 26,"Kugaaruk Airport","Pelly Bay","Canada","YBB","CYBB",68.534401,-89.808098,56,-7,"A","America/Edmonton","airport","OurAirports" 27,"Baie Comeau Airport","Baie Comeau","Canada","YBC","CYBC",49.13249969482422,-68.20439910888672,71,-5,"A","America/Toronto","airport","OurAirports" 28,"CFB Bagotville","Bagotville","Canada","YBG","CYBG",48.33060073852539,-70.99639892578125,522,-5,"A","America/Toronto","airport","OurAirports" 29,"Baker Lake Airport","Baker Lake","Canada","YBK","CYBK",64.29889678960001,-96.077796936,59,-6,"A","America/Winnipeg","airport","OurAirports" 30,"Campbell River Airport","Campbell River","Canada","YBL","CYBL",49.950801849365234,-125.27100372314453,346,-8,"A","America/Vancouver","airport","OurAirports" 31,"Brandon Municipal Airport","Brandon","Canada","YBR","CYBR",49.91,-99.951897,1343,-6,"A","America/Winnipeg","airport","OurAirports" 32,"Cambridge Bay Airport","Cambridge Bay","Canada","YCB","CYCB",69.1081008911,-105.138000488,90,-7,"A","America/Edmonton","airport","OurAirports" 33,"Nanaimo Airport","Nanaimo","Canada","YCD","CYCD",49.054970224899996,-123.869862556,92,-8,"A","America/Vancouver","airport","OurAirports" 34,"Castlegar/West Kootenay Regional Airport","Castlegar","Canada","YCG","CYCG",49.2963981628,-117.632003784,1624,-8,"A","America/Vancouver","airport","OurAirports" 35,"Miramichi Airport","Chatham","Canada","YCH","CYCH",47.007801,-65.449203,108,-4,"A","America/Halifax","airport","OurAirports" 36,"Charlo Airport","Charlo","Canada","YCL","CYCL",47.990799,-66.330299,132,-4,"A","America/Halifax","airport","OurAirports" 37,"Kugluktuk Airport","Coppermine","Canada","YCO","CYCO",67.816704,-115.143997,74,-7,"A","America/Edmonton","airport","OurAirports" 38,"Coronation Airport","Coronation","Canada","YCT","CYCT",52.0750007629,-111.444999695,2595,-7,"A","America/Edmonton","airport","OurAirports" 39,"Chilliwack Airport","Chilliwack","Canada","YCW","CYCW",49.1528015137,-121.939002991,32,-8,"A","America/Vancouver","airport","OurAirports" 40,"Clyde River Airport","Clyde River","Canada","YCY","CYCY",70.4860992432,-68.5167007446,87,-5,"A","America/Toronto","airport","OurAirports" 41,"Coral Harbour Airport","Coral Harbour","Canada","YZS","CYZS",64.1932983398,-83.3593978882,210,-5,"A","America/Coral_Harbour","airport","OurAirports" 42,"Dawson City Airport","Dawson","Canada","YDA","CYDA",64.04309844970703,-139.1280059814453,1215,-8,"A","America/Vancouver","airport","OurAirports" 43,"Burwash Airport","Burwash","Canada","YDB","CYDB",61.37110137939453,-139.04100036621094,2647,-8,"A","America/Vancouver","airport","OurAirports" 44,"Princeton Airport","Princeton","Canada",\N,"CYDC",49.4681015015,-120.511001587,2298,-8,"A","America/Vancouver","airport","OurAirports" 45,"Deer Lake Airport","Deer Lake","Canada","YDF","CYDF",49.21080017089844,-57.39139938354492,72,-3.5,"A","America/St_Johns","airport","OurAirports" 46,"Dease Lake Airport","Dease Lake","Canada","YDL","CYDL",58.4221992493,-130.031997681,2600,-8,"A","America/Vancouver","airport","OurAirports" 47,"Dauphin Barker Airport","Dauphin","Canada","YDN","CYDN",51.100799560546875,-100.052001953125,999,-6,"A","America/Winnipeg","airport","OurAirports" 48,"Dawson Creek Airport","Dawson Creek","Canada","YDQ","CYDQ",55.7422981262207,-120.18299865722656,2148,-7,"A","America/Dawson_Creek","airport","OurAirports" 49,"Edmonton International Airport","Edmonton","Canada","YEG","CYEG",53.309700012200004,-113.580001831,2373,-7,"A","America/Edmonton","airport","OurAirports" 50,"Arviat Airport","Eskimo Point","Canada","YEK","CYEK",61.0942001343,-94.07080078119999,32,-6,"A","America/Winnipeg","airport","OurAirports" 51,"Estevan Airport","Estevan","Canada","YEN","CYEN",49.2103004456,-102.966003418,1905,-6,"N","America/Regina","airport","OurAirports" 52,"Edson Airport","Edson","Canada","YET","CYET",53.578899383499994,-116.464996338,3043,-7,"A","America/Edmonton","airport","OurAirports" 53,"Eureka Airport","Eureka","Canada","YEU","CYEU",79.9946975708,-85.814201355,256,-6,"A","America/Winnipeg","airport","OurAirports" 54,"Inuvik Mike Zubko Airport","Inuvik","Canada","YEV","CYEV",68.30419921880001,-133.483001709,224,-7,"A","America/Edmonton","airport","OurAirports" 55,"Iqaluit Airport","Iqaluit","Canada","YFB","CYFB",63.756402,-68.555801,110,-5,"A","America/Toronto","airport","OurAirports" 56,"Fredericton Airport","Fredericton","Canada","YFC","CYFC",45.868900299072266,-66.53720092773438,68,-4,"A","America/Halifax","airport","OurAirports" 57,"Forestville Airport","Forestville","Canada","YFE","CYFE",48.74610137939453,-69.09719848632812,293,-5,"A","America/Toronto","airport","OurAirports" 58,"Flin Flon Airport","Flin Flon","Canada","YFO","CYFO",54.6781005859375,-101.68199920654297,997,-6,"A","America/Winnipeg","airport","OurAirports" 59,"Fort Resolution Airport","Fort Resolution","Canada","YFR","CYFR",61.1808013916,-113.690002441,526,-7,"A","America/Edmonton","airport","OurAirports" 60,"Fort Simpson Airport","Fort Simpson","Canada","YFS","CYFS",61.76020050048828,-121.23699951171875,555,-7,"A","America/Edmonton","airport","OurAirports" 61,"Kingston Norman Rogers Airport","Kingston","Canada","YGK","CYGK",44.22529983520508,-76.5969009399414,305,-5,"A","America/Toronto","airport","OurAirports" 62,"La Grande Rivière Airport","La Grande Riviere","Canada","YGL","CYGL",53.625301361083984,-77.7042007446289,639,-5,"A","America/Toronto","airport","OurAirports" 63,"Gaspé (Michel-Pouliot) Airport","Gaspe","Canada","YGP","CYGP",48.7752990723,-64.4785995483,112,-5,"A","America/Toronto","airport","OurAirports" 64,"Geraldton Greenstone Regional Airport","Geraldton","Canada","YGQ","CYGQ",49.77830123901367,-86.93939971923828,1144,-5,"A","America/Toronto","airport","OurAirports" 65,"ÃŽles-de-la-Madeleine Airport","Iles De La Madeleine","Canada","YGR","CYGR",47.42470169067383,-61.778099060058594,35,-5,"A","America/Toronto","airport","OurAirports" 66,"Hudson Bay Airport","Hudson Bay","Canada","YHB","CYHB",52.8166999817,-102.310997009,1175,-6,"N","America/Regina","airport","OurAirports" 67,"Dryden Regional Airport","Dryden","Canada","YHD","CYHD",49.831699,-92.744202,1354,-6,"A","America/Winnipeg","airport","OurAirports" 68,"Ulukhaktok Holman Airport","Holman Island","Canada","YHI","CYHI",70.76280212402344,-117.80599975585938,117,-7,"A","America/Edmonton","airport","OurAirports" 69,"Gjoa Haven Airport","Gjoa Haven","Canada","YHK","CYHK",68.635597229,-95.84970092770001,152,-7,"A","America/Edmonton","airport","OurAirports" 70,"John C. Munro Hamilton International Airport","Hamilton","Canada","YHM","CYHM",43.173599243199995,-79.93499755859999,780,-5,"A","America/Toronto","airport","OurAirports" 71,"Montréal / Saint-Hubert Airport","Montreal","Canada","YHU","CYHU",45.5175018311,-73.4169006348,90,-5,"A","America/Toronto","airport","OurAirports" 72,"Hay River / Merlyn Carter Airport","Hay River","Canada","YHY","CYHY",60.8396987915,-115.782997131,541,-7,"A","America/Edmonton","airport","OurAirports" 73,"Halifax / Stanfield International Airport","Halifax","Canada","YHZ","CYHZ",44.8807983398,-63.5085983276,477,-4,"A","America/Halifax","airport","OurAirports" 74,"Atikokan Municipal Airport","Atikokan","Canada","YIB","CYIB",48.7738990784,-91.6386032104,1408,-5,"A","America/Coral_Harbour","airport","OurAirports" 75,"Pond Inlet Airport","Pond Inlet","Canada","YIO","CYIO",72.6832962036,-77.9666976929,181,-5,"A","America/Toronto","airport","OurAirports" 76,"St Jean Airport","St. Jean","Canada","YJN","CYJN",45.29439926147461,-73.28109741210938,136,-5,"A","America/Toronto","airport","OurAirports" 77,"Stephenville Airport","Stephenville","Canada","YJT","CYJT",48.5442008972168,-58.54999923706055,84,-3.5,"A","America/St_Johns","airport","OurAirports" 78,"Kamloops Airport","Kamloops","Canada","YKA","CYKA",50.7022018433,-120.444000244,1133,-8,"A","America/Vancouver","airport","OurAirports" 79,"Waterloo Airport","Waterloo","Canada","YKF","CYKF",43.460800170899994,-80.3786010742,1055,-5,"A","America/Toronto","airport","OurAirports" 80,"Schefferville Airport","Schefferville","Canada","YKL","CYKL",54.805301666259766,-66.8052978515625,1709,-5,"A","America/Toronto","airport","OurAirports" 81,"Kindersley Airport","Kindersley","Canada","YKY","CYKY",51.5175018311,-109.180999756,2277,-6,"N","America/Regina","airport","OurAirports" 82,"Buttonville Municipal Airport","Toronto","Canada","YKZ","CYKZ",43.86220169067383,-79.37000274658203,650,-5,"A","America/Toronto","airport","OurAirports" 83,"Chapleau Airport","Chapleau","Canada","YLD","CYLD",47.81999969482422,-83.3467025756836,1470,-5,"A","America/Toronto","airport","OurAirports" 84,"Meadow Lake Airport","Meadow Lake","Canada","YLJ","CYLJ",54.125301361083984,-108.52300262451172,1576,-6,"N","America/Regina","airport","OurAirports" 85,"Lloydminster Airport","Lloydminster","Canada","YLL","CYLL",53.309200286865234,-110.072998046875,2193,-7,"A","America/Edmonton","airport","OurAirports" 86,"Alert Airport","Alert","Canada","YLT","CYLT",82.51779937740001,-62.2806015015,100,-5,"A","America/Toronto","airport","OurAirports" 87,"Kelowna International Airport","Kelowna","Canada","YLW","CYLW",49.9561004639,-119.377998352,1421,-8,"A","America/Vancouver","airport","OurAirports" 88,"Mayo Airport","Mayo","Canada","YMA","CYMA",63.61640167236328,-135.8679962158203,1653,-8,"A","America/Vancouver","airport","OurAirports" 89,"Moose Jaw Air Vice Marshal C. M. McEwen Airport","Moose Jaw","Canada","YMJ","CYMJ",50.330299377441406,-105.55899810791016,1892,-6,"N","America/Regina","airport","OurAirports" 90,"Fort McMurray Airport","Fort Mcmurray","Canada","YMM","CYMM",56.653301239,-111.222000122,1211,-7,"A","America/Edmonton","airport","OurAirports" 91,"Moosonee Airport","Moosonee","Canada","YMO","CYMO",51.291099548339844,-80.60780334472656,30,-5,"A","America/Toronto","airport","OurAirports" 92,"Maniwaki Airport","Maniwaki","Canada","YMW","CYMW",46.2728004456,-75.9906005859,656,-5,"A","America/Toronto","airport","OurAirports" 93,"Montreal International (Mirabel) Airport","Montreal","Canada","YMX","CYMX",45.679501,-74.038696,270,-5,"A","America/Toronto","airport","OurAirports" 94,"Natashquan Airport","Natashquan","Canada","YNA","CYNA",50.189998626708984,-61.78919982910156,39,-5,"A","America/Toronto","airport","OurAirports" 95,"Ottawa / Gatineau Airport","Gatineau","Canada","YND","CYND",45.521701812699995,-75.5635986328,211,-5,"A","America/Toronto","airport","OurAirports" 96,"Matagami Airport","Matagami","Canada","YNM","CYNM",49.76169967651367,-77.80280303955078,918,-5,"A","America/Toronto","airport","OurAirports" 97,"Old Crow Airport","Old Crow","Canada","YOC","CYOC",67.57060241699219,-139.83900451660156,824,-8,"A","America/Vancouver","airport","OurAirports" 98,"CFB Cold Lake","Cold Lake","Canada","YOD","CYOD",54.404998779296875,-110.27899932861328,1775,-7,"A","America/Edmonton","airport","OurAirports" 99,"High Level Airport","High Level","Canada","YOJ","CYOJ",58.62139892578125,-117.16500091552734,1110,-7,"A","America/Edmonton","airport","OurAirports" 100,"Ottawa Macdonald-Cartier International Airport","Ottawa","Canada","YOW","CYOW",45.3224983215332,-75.66919708251953,374,-5,"A","America/Toronto","airport","OurAirports" 101,"Prince Albert Glass Field","Prince Albert","Canada","YPA","CYPA",53.214199066199996,-105.672996521,1405,-6,"N","America/Regina","airport","OurAirports" 102,"Peace River Airport","Peace River","Canada","YPE","CYPE",56.226898,-117.446999,1873,-7,"A","America/Edmonton","airport","OurAirports" 103,"Southport Airport","Portage-la-prairie","Canada","YPG","CYPG",49.903099,-98.273817,885,-6,"A","America/Winnipeg","airport","OurAirports" 104,"Pitt Meadows Airport","Pitt Meadows","Canada",\N,"CYPK",49.21609878540039,-122.70999908447266,11,-8,"A","America/Vancouver","airport","OurAirports" 105,"Pickle Lake Airport","Pickle Lake","Canada","YPL","CYPL",51.4463996887207,-90.21420288085938,1267,-5,"A","America/Coral_Harbour","airport","OurAirports" 106,"Port Menier Airport","Port Menier","Canada","YPN","CYPN",49.83639907836914,-64.2885971069336,167,-5,"A","America/Toronto","airport","OurAirports" 107,"Peterborough Airport","Peterborough","Canada","YPQ","CYPQ",44.22999954223633,-78.36329650878906,628,-5,"A","America/Toronto","airport","OurAirports" 108,"Prince Rupert Airport","Prince Pupert","Canada","YPR","CYPR",54.286098480199996,-130.445007324,116,-8,"A","America/Vancouver","airport","OurAirports" 109,"Fort Chipewyan Airport","Fort Chipewyan","Canada","YPY","CYPY",58.7672004699707,-111.11699676513672,761,-7,"A","America/Edmonton","airport","OurAirports" 110,"Muskoka Airport","Muskoka","Canada","YQA","CYQA",44.974700927734375,-79.30329895019531,925,-5,"A","America/Toronto","airport","OurAirports" 111,"Quebec Jean Lesage International Airport","Quebec","Canada","YQB","CYQB",46.7911,-71.393303,244,-5,"A","America/Toronto","airport","OurAirports" 112,"Red Deer Regional Airport","Red Deer Industrial","Canada","YQF","CYQF",52.18220138549805,-113.89399719238281,2968,-7,"A","America/Edmonton","airport","OurAirports" 113,"Windsor Airport","Windsor","Canada","YQG","CYQG",42.27560043334961,-82.95559692382812,622,-5,"A","America/Toronto","airport","OurAirports" 114,"Watson Lake Airport","Watson Lake","Canada","YQH","CYQH",60.11640167236328,-128.82200622558594,2255,-8,"A","America/Vancouver","airport","OurAirports" 115,"Kenora Airport","Kenora","Canada","YQK","CYQK",49.788299560546875,-94.36309814453125,1332,-6,"A","America/Winnipeg","airport","OurAirports" 116,"Lethbridge County Airport","Lethbridge","Canada","YQL","CYQL",49.6302986145,-112.800003052,3048,-7,"A","America/Edmonton","airport","OurAirports" 117,"Greater Moncton International Airport","Moncton","Canada","YQM","CYQM",46.11220169067383,-64.67859649658203,232,-4,"A","America/Halifax","airport","OurAirports" 119,"Comox Airport","Comox","Canada","YQQ","CYQQ",49.71080017089844,-124.88700103759766,84,-8,"A","America/Vancouver","airport","OurAirports" 120,"Regina International Airport","Regina","Canada","YQR","CYQR",50.43190002441406,-104.66600036621094,1894,-6,"N","America/Regina","airport","OurAirports" 121,"Thunder Bay Airport","Thunder Bay","Canada","YQT","CYQT",48.37189865112305,-89.32389831542969,653,-5,"A","America/Toronto","airport","OurAirports" 122,"Grande Prairie Airport","Grande Prairie","Canada","YQU","CYQU",55.1796989441,-118.885002136,2195,-7,"A","America/Edmonton","airport","OurAirports" 123,"Yorkton Municipal Airport","Yorkton","Canada","YQV","CYQV",51.26470184326172,-102.46199798583984,1635,-6,"N","America/Regina","airport","OurAirports" 124,"North Battleford Airport","North Battleford","Canada","YQW","CYQW",52.76919937133789,-108.24400329589844,1799,-6,"N","America/Regina","airport","OurAirports" 125,"Gander International Airport","Gander","Canada","YQX","CYQX",48.9369010925293,-54.56809997558594,496,-3.5,"A","America/St_Johns","airport","OurAirports" 126,"Sydney / J.A. Douglas McCurdy Airport","Sydney","Canada","YQY","CYQY",46.1614,-60.047798,203,-4,"A","America/Halifax","airport","OurAirports" 127,"Quesnel Airport","Quesnel","Canada","YQZ","CYQZ",53.026100158691406,-122.51000213623047,1789,-8,"A","America/Vancouver","airport","OurAirports" 128,"Resolute Bay Airport","Resolute","Canada","YRB","CYRB",74.7169036865,-94.9693984985,215,-6,"A","America/Winnipeg","airport","OurAirports" 129,"Rivière-du-Loup Airport","Riviere Du Loup","Canada","YRI","CYRI",47.764400482177734,-69.58470153808594,427,-5,"A","America/Toronto","airport","OurAirports" 130,"Roberval Airport","Roberval","Canada","YRJ","CYRJ",48.52000045776367,-72.2656021118164,586,-5,"A","America/Toronto","airport","OurAirports" 131,"Rocky Mountain House Airport","Rocky Mountain House","Canada","YRM","CYRM",52.4296989441,-114.903999329,3244,-7,"A","America/Edmonton","airport","OurAirports" 132,"Rankin Inlet Airport","Rankin Inlet","Canada","YRT","CYRT",62.8114013672,-92.1157989502,94,-6,"A","America/Winnipeg","airport","OurAirports" 133,"Sudbury Airport","Sudbury","Canada","YSB","CYSB",46.625,-80.79889678955078,1141,-5,"A","America/Toronto","airport","OurAirports" 134,"Sherbrooke Airport","Sherbrooke","Canada","YSC","CYSC",45.4385986328125,-71.69139862060547,792,-5,"A","America/Toronto","airport","OurAirports" 135,"Saint John Airport","St. John","Canada","YSJ","CYSJ",45.31610107421875,-65.89029693603516,357,-4,"A","America/Halifax","airport","OurAirports" 136,"Fort Smith Airport","Fort Smith","Canada","YSM","CYSM",60.020301818847656,-111.96199798583984,671,-7,"A","America/Edmonton","airport","OurAirports" 137,"Nanisivik Airport","Nanisivik","Canada","YSR","CYSR",72.982201,-84.613602,2106,-5,"A","America/Toronto","airport","OurAirports" 138,"Summerside Airport","Summerside","Canada","YSU","CYSU",46.44060134887695,-63.83359909057617,56,-4,"A","America/Halifax","airport","OurAirports" 139,"Sachs Harbour (David Nasogaluak Jr. Saaryuaq) Airport","Sachs Harbour","Canada","YSY","CYSY",71.9938964844,-125.242996216,282,-7,"A","America/Edmonton","airport","OurAirports" 140,"Cape Dorset Airport","Cape Dorset","Canada","YTE","CYTE",64.2300033569,-76.5267028809,164,-5,"A","America/Toronto","airport","OurAirports" 141,"Thompson Airport","Thompson","Canada","YTH","CYTH",55.80110168457031,-97.86419677734375,729,-6,"A","America/Winnipeg","airport","OurAirports" 142,"CFB Trenton","Trenton","Canada","YTR","CYTR",44.118900299072266,-77.5280990600586,283,-5,"A","America/Toronto","airport","OurAirports" 143,"Timmins/Victor M. Power","Timmins","Canada","YTS","CYTS",48.569698333699996,-81.376701355,967,-5,"A","America/Toronto","airport","OurAirports" 144,"Billy Bishop Toronto City Centre Airport","Toronto","Canada","YTZ","CYTZ",43.627499,-79.396202,252,-5,"A","America/Toronto","airport","OurAirports" 145,"Tuktoyaktuk Airport","Tuktoyaktuk","Canada","YUB","CYUB",69.43329620361328,-133.0260009765625,15,-7,"A","America/Edmonton","airport","OurAirports" 146,"Montreal / Pierre Elliott Trudeau International Airport","Montreal","Canada","YUL","CYUL",45.4706001282,-73.7407989502,118,-5,"A","America/Toronto","airport","OurAirports" 147,"Repulse Bay Airport","Repulse Bay","Canada","YUT","CYUT",66.5214004517,-86.22470092770001,80,-6,"A","America/Winnipeg","airport","OurAirports" 148,"Hall Beach Airport","Hall Beach","Canada","YUX","CYUX",68.77610015869999,-81.2425,30,-5,"A","America/Toronto","airport","OurAirports" 149,"Rouyn Noranda Airport","Rouyn","Canada","YUY","CYUY",48.20610046386719,-78.83560180664062,988,-5,"A","America/Toronto","airport","OurAirports" 150,"La Ronge Airport","La Ronge","Canada","YVC","CYVC",55.151401519800004,-105.262001038,1242,-6,"N","America/Regina","airport","OurAirports" 151,"Vermilion Airport","Vermillion","Canada","YVG","CYVG",53.355800628699996,-110.823997498,2025,-7,"A","America/Edmonton","airport","OurAirports" 152,"Qikiqtarjuaq Airport","Broughton Island","Canada","YVM","CYVM",67.5457992554,-64.03140258789999,21,-5,"A","America/Toronto","airport","OurAirports" 153,"Val-d'Or Airport","Val D'or","Canada","YVO","CYVO",48.0532989502,-77.7827987671,1107,-5,"A","America/Toronto","airport","OurAirports" 154,"Kuujjuaq Airport","Quujjuaq","Canada","YVP","CYVP",58.096099853515625,-68.4269027709961,129,-5,"A","America/Toronto","airport","OurAirports" 155,"Norman Wells Airport","Norman Wells","Canada","YVQ","CYVQ",65.28160095214844,-126.7979965209961,238,-7,"A","America/Edmonton","airport","OurAirports" 156,"Vancouver International Airport","Vancouver","Canada","YVR","CYVR",49.193901062,-123.183998108,14,-8,"A","America/Vancouver","airport","OurAirports" 157,"Buffalo Narrows Airport","Buffalo Narrows","Canada","YVT","CYVT",55.8418998718,-108.417999268,1423,-6,"N","America/Regina","airport","OurAirports" 158,"Wiarton Airport","Wiarton","Canada","YVV","CYVV",44.7458,-81.107201,729,-5,"A","America/Toronto","airport","OurAirports" 159,"Petawawa Airport","Petawawa","Canada","YWA","CYWA",45.95220184326172,-77.31919860839844,427,-5,"A","America/Toronto","airport","OurAirports" 160,"Winnipeg / James Armstrong Richardson International Airport","Winnipeg","Canada","YWG","CYWG",49.909999847399995,-97.2398986816,783,-6,"A","America/Winnipeg","airport","OurAirports" 161,"Wabush Airport","Wabush","Canada","YWK","CYWK",52.92190170288086,-66.8644027709961,1808,-4,"A","America/Halifax","airport","OurAirports" 162,"Williams Lake Airport","Williams Lake","Canada","YWL","CYWL",52.1831016541,-122.054000854,3085,-8,"A","America/Vancouver","airport","OurAirports" 163,"Wrigley Airport","Wrigley","Canada","YWY","CYWY",63.20940017700195,-123.43699645996094,489,-7,"A","America/Edmonton","airport","OurAirports" 164,"Cranbrook/Canadian Rockies International Airport","Cranbrook","Canada","YXC","CYXC",49.610801696777,-115.78199768066,3082,-7,"A","America/Edmonton","airport","OurAirports" 165,"Edmonton City Centre (Blatchford Field) Airport","Edmonton","Canada","YXD","CYXD",53.5724983215,-113.521003723,2202,-7,"A","America/Edmonton","airport","OurAirports" 166,"Saskatoon John G. Diefenbaker International Airport","Saskatoon","Canada","YXE","CYXE",52.170799255371094,-106.69999694824219,1653,-6,"N","America/Regina","airport","OurAirports" 167,"Medicine Hat Airport","Medicine Hat","Canada","YXH","CYXH",50.01890182495117,-110.72100067138672,2352,-7,"A","America/Edmonton","airport","OurAirports" 168,"Fort St John Airport","Fort Saint John","Canada","YXJ","CYXJ",56.23809814453125,-120.73999786376953,2280,-7,"A","America/Dawson_Creek","airport","OurAirports" 169,"Sioux Lookout Airport","Sioux Lookout","Canada","YXL","CYXL",50.11389923095703,-91.9052963256836,1258,-6,"A","America/Winnipeg","airport","OurAirports" 170,"Pangnirtung Airport","Pangnirtung","Canada","YXP","CYXP",66.1449966431,-65.71360015869999,75,-5,"A","America/Toronto","airport","OurAirports" 171,"Earlton (Timiskaming Regional) Airport","Earlton","Canada","YXR","CYXR",47.697400654599996,-79.8473453522,800,-5,"A","America/Toronto","airport","OurAirports" 172,"Prince George Airport","Prince George","Canada","YXS","CYXS",53.8894004822,-122.679000854,2267,-8,"A","America/Vancouver","airport","OurAirports" 173,"Northwest Regional Airport Terrace-Kitimat","Terrace","Canada","YXT","CYXT",54.468498,-128.576009,713,-8,"A","America/Vancouver","airport","OurAirports" 174,"London Airport","London","Canada","YXU","CYXU",43.035599,-81.1539,912,-5,"A","America/Toronto","airport","OurAirports" 175,"Abbotsford Airport","Abbotsford","Canada","YXX","CYXX",49.025299072265625,-122.36100006103516,195,-8,"A","America/Vancouver","airport","OurAirports" 176,"Whitehorse / Erik Nielsen International Airport","Whitehorse","Canada","YXY","CYXY",60.7095985413,-135.067001343,2317,-8,"A","America/Vancouver","airport","OurAirports" 177,"North Bay Jack Garland Airport","North Bay","Canada","YYB","CYYB",46.363602,-79.422798,1215,-5,"A","America/Toronto","airport","OurAirports" 178,"Calgary International Airport","Calgary","Canada","YYC","CYYC",51.113899231,-114.019996643,3557,-7,"A","America/Edmonton","airport","OurAirports" 179,"Smithers Airport","Smithers","Canada","YYD","CYYD",54.82469940185547,-127.18299865722656,1712,-8,"A","America/Vancouver","airport","OurAirports" 180,"Fort Nelson Airport","Fort Nelson","Canada","YYE","CYYE",58.8363990784,-122.597000122,1253,-8,"A","America/Vancouver","airport","OurAirports" 181,"Penticton Airport","Penticton","Canada","YYF","CYYF",49.46310043334961,-119.60199737548828,1129,-8,"A","America/Vancouver","airport","OurAirports" 182,"Charlottetown Airport","Charlottetown","Canada","YYG","CYYG",46.290000915527344,-63.12110137939453,160,-4,"A","America/Halifax","airport","OurAirports" 183,"Taloyoak Airport","Spence Bay","Canada","YYH","CYYH",69.5466995239,-93.5766983032,92,-7,"A","America/Edmonton","airport","OurAirports" 184,"Victoria International Airport","Victoria","Canada","YYJ","CYYJ",48.646900177,-123.426002502,63,-8,"A","America/Vancouver","airport","OurAirports" 185,"Lynn Lake Airport","Lynn Lake","Canada","YYL","CYYL",56.86389923095703,-101.07599639892578,1170,-6,"A","America/Winnipeg","airport","OurAirports" 186,"Swift Current Airport","Swift Current","Canada","YYN","CYYN",50.291900634799994,-107.691001892,2680,-6,"N","America/Regina","airport","OurAirports" 187,"Churchill Airport","Churchill","Canada","YYQ","CYYQ",58.739200592041016,-94.06500244140625,94,-6,"A","America/Winnipeg","airport","OurAirports" 188,"Goose Bay Airport","Goose Bay","Canada","YYR","CYYR",53.3191986084,-60.4258003235,160,-4,"A","America/Halifax","airport","OurAirports" 189,"St. John's International Airport","St. John's","Canada","YYT","CYYT",47.618598938,-52.7518997192,461,-3.5,"A","America/St_Johns","airport","OurAirports" 190,"Kapuskasing Airport","Kapuskasing","Canada","YYU","CYYU",49.41389846801758,-82.46749877929688,743,-5,"A","America/Toronto","airport","OurAirports" 191,"Armstrong Airport","Armstrong","Canada","YYW","CYYW",50.29029846191406,-88.90969848632812,1058,-5,"A","America/Toronto","airport","OurAirports" 192,"Mont Joli Airport","Mont Joli","Canada","YYY","CYYY",48.60860061645508,-68.20809936523438,172,-5,"A","America/Toronto","airport","OurAirports" 193,"Lester B. Pearson International Airport","Toronto","Canada","YYZ","CYYZ",43.6772003174,-79.63059997559999,569,-5,"A","America/Toronto","airport","OurAirports" 194,"Downsview Airport","Toronto","Canada","YZD","CYZD",43.74250030517578,-79.4655990600586,652,-5,"A","America/Toronto","airport","OurAirports" 195,"Gore Bay Manitoulin Airport","Gore Bay","Canada","YZE","CYZE",45.88529968261719,-82.56780242919922,635,-5,"A","America/Toronto","airport","OurAirports" 196,"Yellowknife Airport","Yellowknife","Canada","YZF","CYZF",62.462799072265625,-114.44000244140625,675,-7,"A","America/Edmonton","airport","OurAirports" 197,"Slave Lake Airport","Slave Lake","Canada","YZH","CYZH",55.2930984497,-114.777000427,1912,-7,"A","America/Edmonton","airport","OurAirports" 198,"Sandspit Airport","Sandspit","Canada","YZP","CYZP",53.25429916379999,-131.813995361,21,-8,"A","America/Vancouver","airport","OurAirports" 199,"Chris Hadfield Airport","Sarnia","Canada","YZR","CYZR",42.9994010925293,-82.30889892578125,594,-5,"A","America/Toronto","airport","OurAirports" 200,"Port Hardy Airport","Port Hardy","Canada","YZT","CYZT",50.680599212646484,-127.36699676513672,71,-8,"A","America/Vancouver","airport","OurAirports" 201,"Whitecourt Airport","Whitecourt","Canada","YZU","CYZU",54.14390182495117,-115.78700256347656,2567,-7,"A","America/Edmonton","airport","OurAirports" 202,"Sept-ÃŽles Airport","Sept-iles","Canada","YZV","CYZV",50.22330093383789,-66.2656021118164,180,-5,"A","America/Toronto","airport","OurAirports" 203,"Teslin Airport","Teslin","Canada","YZW","CYZW",60.17279815673828,-132.7429962158203,2313,-8,"A","America/Vancouver","airport","OurAirports" 204,"CFB Greenwood","Greenwood","Canada","YZX","CYZX",44.98440170288086,-64.91690063476562,92,-4,"A","America/Halifax","airport","OurAirports" 205,"Faro Airport","Faro","Canada","ZFA","CZFA",62.20750045776367,-133.37600708007812,2351,-8,"A","America/Vancouver","airport","OurAirports" 206,"Fort Mcpherson Airport","Fort Mcpherson","Canada","ZFM","CZFM",67.40750122070312,-134.86099243164062,116,-7,"A","America/Edmonton","airport","OurAirports" 207,"Blida Airport","Blida","Algeria","QLD","DAAB",36.50360107421875,2.8141698837280273,535,1,"N","Africa/Algiers","airport","OurAirports" 208,"Bou Saada Airport","Bou Saada","Algeria","BUJ","DAAD",35.33250045776367,4.206389904022217,1506,1,"N","Africa/Algiers","airport","OurAirports" 209,"Soummam Airport","Bejaja","Algeria","BJA","DAAE",36.7120018005,5.0699200630200005,20,1,"N","Africa/Algiers","airport","OurAirports" 210,"Houari Boumediene Airport","Algier","Algeria","ALG","DAAG",36.691001892089844,3.215409994125366,82,1,"N","Africa/Algiers","airport","OurAirports" 211,"Djanet Inedbirene Airport","Djanet","Algeria","DJG","DAAJ",24.292801,9.45244,3176,1,"N","Africa/Algiers","airport","OurAirports" 212,"Boufarik Airport","Boufarik","Algeria",\N,"DAAK",36.545799,2.87611,335,1,"N","Africa/Algiers","airport","OurAirports" 213,"Reggane Airport","Reggan","Algeria",\N,"DAAN",26.7101,0.285647,955,1,"N","Africa/Algiers","airport","OurAirports" 214,"Illizi Takhamalt Airport","Illizi","Algeria","VVZ","DAAP",26.7234992981,8.62265014648,1778,1,"N","Africa/Algiers","airport","OurAirports" 215,"Ain Oussera Airport","Ain Oussera","Algeria",\N,"DAAQ",35.52539825439453,2.8787100315093994,2132,1,"N","Africa/Algiers","airport","OurAirports" 216,"Aguenar – Hadj Bey Akhamok Airport","Tamanrasset","Algeria","TMR","DAAT",22.8115005493,5.45107984543,4518,1,"N","Africa/Algiers","airport","OurAirports" 217,"Jijel Ferhat Abbas Airport","Jijel","Algeria","GJL","DAAV",36.7951011658,5.87361001968,36,1,"N","Africa/Algiers","airport","OurAirports" 218,"Mecheria Airport","Mecheria","Algeria","MZW","DAAY",33.535900116,-0.242353007197,3855,1,"N","Africa/Algiers","airport","OurAirports" 219,"Relizane Airport","Relizane","Algeria",\N,"DAAZ",35.752201,0.626272,282,1,"N","Africa/Algiers","airport","OurAirports" 220,"Rabah Bitat Airport","Annaba","Algeria","AAE","DABB",36.822201,7.809174,16,1,"N","Africa/Algiers","airport","OurAirports" 221,"Mohamed Boudiaf International Airport","Constantine","Algeria","CZL","DABC",36.2760009765625,6.620389938354492,2265,1,"N","Africa/Algiers","airport","OurAirports" 222,"Cheikh Larbi Tébessi Airport","Tebessa","Algeria","TEE","DABS",35.4315986633,8.12071990967,2661,1,"N","Africa/Algiers","airport","OurAirports" 224,"Hassi R'Mel Airport","Tilrempt","Algeria","HRM","DAFH",32.93040084838867,3.311539888381958,2540,1,"N","Africa/Algiers","airport","OurAirports" 225,"Bou Chekif Airport","Tiaret","Algeria","TID","DAOB",35.3410987854,1.46315002441,3245,1,"N","Africa/Algiers","airport","OurAirports" 226,"Bou Sfer Airport","Bou Sfer","Algeria",\N,"DAOE",35.73540115356445,-0.8053889870643616,187,1,"N","Africa/Algiers","airport","OurAirports" 227,"Tindouf Airport","Tindouf","Algeria","TIN","DAOF",27.7003993988,-8.167099952700001,1453,1,"N","Africa/Algiers","airport","OurAirports" 228,"Ech Cheliff Airport","Ech-cheliff","Algeria","CFK","DAOI",36.2126998901,1.33176994324,463,1,"N","Africa/Algiers","airport","OurAirports" 229,"Tafaraoui Airport","Oran","Algeria","TAF","DAOL",35.54240036010742,-0.5322780013084412,367,1,"N","Africa/Algiers","airport","OurAirports" 230,"Zenata – Messali El Hadj Airport","Tlemcen","Algeria","TLM","DAON",35.0167007446,-1.45000004768,814,1,"N","Africa/Algiers","airport","OurAirports" 231,"Es Senia Airport","Oran","Algeria","ORN","DAOO",35.6239013672,-0.6211829781529999,295,1,"N","Africa/Algiers","airport","OurAirports" 232,"Sidi Bel Abbes Airport","Sidi Bel Abbes","Algeria","BFW","DAOS",35.1717987061,-0.593275010586,1614,1,"N","Africa/Algiers","airport","OurAirports" 233,"Ghriss Airport","Ghriss","Algeria","MUW","DAOV",35.207698822021484,0.14714199304580688,1686,1,"N","Africa/Algiers","airport","OurAirports" 234,"Touat Cheikh Sidi Mohamed Belkebir Airport","Adrar","Algeria","AZR","DAUA",27.837600708007812,-0.18641400337219238,919,1,"N","Africa/Algiers","airport","OurAirports" 235,"Biskra Airport","Biskra","Algeria","BSK","DAUB",34.793300628699996,5.73823022842,289,1,"N","Africa/Algiers","airport","OurAirports" 236,"El Golea Airport","El Golea","Algeria","ELG","DAUE",30.571300506591797,2.8595900535583496,1306,1,"N","Africa/Algiers","airport","OurAirports" 237,"Noumérat - Moufdi Zakaria Airport","Ghardaia","Algeria","GHA","DAUG",32.38410186767578,3.794110059738159,1512,1,"N","Africa/Algiers","airport","OurAirports" 238,"Oued Irara Airport","Hassi Messaoud","Algeria","HME","DAUH",31.673000335699996,6.140439987180001,463,1,"N","Africa/Algiers","airport","OurAirports" 239,"In Salah Airport","In Salah","Algeria","INZ","DAUI",27.250999450699997,2.51202011108,896,1,"N","Africa/Algiers","airport","OurAirports" 240,"Touggourt Sidi Madhi Airport","Touggourt","Algeria","TGR","DAUK",33.06779861450195,6.088669776916504,279,1,"N","Africa/Algiers","airport","OurAirports" 241,"Laghouat Airport","Laghouat","Algeria","LOO","DAUL",33.764400482199996,2.92833995819,2510,1,"N","Africa/Algiers","airport","OurAirports" 242,"Timimoun Airport","Timimoun","Algeria","TMX","DAUT",29.2371006012,0.276033014059,1027,1,"N","Africa/Algiers","airport","OurAirports" 243,"Ain el Beida Airport","Ouargla","Algeria","OGX","DAUU",31.917200088500977,5.412779808044434,492,1,"N","Africa/Algiers","airport","OurAirports" 244,"In Aménas Airport","Zarzaitine","Algeria","IAM","DAUZ",28.0515,9.64291,1847,1,"N","Africa/Algiers","airport","OurAirports" 245,"Cadjehoun Airport","Cotonou","Benin","COO","DBBB",6.357230186462402,2.384350061416626,19,1,"N","Africa/Porto-Novo","airport","OurAirports" 246,"Ouagadougou Airport","Ouagadougou","Burkina Faso","OUA","DFFD",12.3532,-1.51242,1037,0,"N","Africa/Ouagadougou","airport","OurAirports" 247,"Bobo Dioulasso Airport","Bobo-dioulasso","Burkina Faso","BOY","DFOO",11.160099983215332,-4.33096981048584,1511,0,"N","Africa/Ouagadougou","airport","OurAirports" 248,"Kotoka International Airport","Accra","Ghana","ACC","DGAA",5.605189800262451,-0.16678600013256073,205,0,"N","Africa/Accra","airport","OurAirports" 249,"Tamale Airport","Tamale","Ghana","TML","DGLE",9.55718994140625,-0.8632140159606934,553,0,"N","Africa/Accra","airport","OurAirports" 250,"Wa Airport","Wa","Ghana",\N,"DGLW",10.0826997756958,-2.507689952850342,1060,0,"N","Africa/Accra","airport","OurAirports" 251,"Sunyani Airport","Sunyani","Ghana","NYI","DGSN",7.361830234527588,-2.3287599086761475,1014,0,"N","Africa/Accra","airport","OurAirports" 252,"Takoradi Airport","Takoradi","Ghana","TKD","DGTK",4.896059989929199,-1.7747600078582764,21,0,"N","Africa/Accra","airport","OurAirports" 253,"Port Bouet Airport","Abidjan","Cote d'Ivoire","ABJ","DIAP",5.261390209197998,-3.9262900352478027,21,0,"N","Africa/Abidjan","airport","OurAirports" 254,"Bouaké Airport","Bouake","Cote d'Ivoire","BYK","DIBK",7.738800048828125,-5.073669910430908,1230,0,"N","Africa/Abidjan","airport","OurAirports" 255,"Daloa Airport","Daloa","Cote d'Ivoire","DJO","DIDL",6.792809963226318,-6.473189830780029,823,0,"N","Africa/Abidjan","airport","OurAirports" 256,"Korhogo Airport","Korhogo","Cote d'Ivoire","HGO","DIKO",9.38718032837,-5.55666017532,1214,0,"N","Africa/Abidjan","airport","OurAirports" 257,"Man Airport","Man","Cote d'Ivoire","MJC","DIMN",7.272069931030273,-7.58735990524292,1089,0,"N","Africa/Abidjan","airport","OurAirports" 258,"San Pedro Airport","San Pedro","Cote d'Ivoire","SPY","DISP",4.746719837188721,-6.660820007324219,26,0,"N","Africa/Abidjan","airport","OurAirports" 259,"Yamoussoukro Airport","Yamoussoukro","Cote d'Ivoire","ASK","DIYO",6.9031701088,-5.36558008194,699,0,"N","Africa/Abidjan","airport","OurAirports" 260,"Nnamdi Azikiwe International Airport","Abuja","Nigeria","ABV","DNAA",9.006790161132812,7.263169765472412,1123,1,"N","Africa/Lagos","airport","OurAirports" 261,"Akure Airport","Akure","Nigeria","AKR","DNAK",7.246739864349365,5.3010101318359375,1100,1,"N","Africa/Lagos","airport","OurAirports" 262,"Benin Airport","Benin","Nigeria","BNI","DNBE",6.316979885101318,5.5995001792907715,258,1,"N","Africa/Lagos","airport","OurAirports" 263,"Margaret Ekpo International Airport","Calabar","Nigeria","CBQ","DNCA",4.976019859313965,8.347200393676758,210,1,"N","Africa/Lagos","airport","OurAirports" 264,"Akanu Ibiam International Airport","Enugu","Nigeria","ENU","DNEN",6.474269866943359,7.561960220336914,466,1,"N","Africa/Lagos","airport","OurAirports" 265,"Gusau Airport","Gusau","Nigeria",\N,"DNGU",12.1717,6.69611,1520,1,"N","Africa/Lagos","airport","OurAirports" 266,"Ibadan Airport","Ibadan","Nigeria","IBA","DNIB",7.362460136413574,3.97832989692688,725,1,"N","Africa/Lagos","airport","OurAirports" 267,"Ilorin International Airport","Ilorin","Nigeria","ILR","DNIL",8.440210342407227,4.493919849395752,1126,1,"N","Africa/Lagos","airport","OurAirports" 268,"Yakubu Gowon Airport","Jos","Nigeria","JOS","DNJO",9.639829635620117,8.869050025939941,4232,1,"N","Africa/Lagos","airport","OurAirports" 269,"Kaduna Airport","Kaduna","Nigeria","KAD","DNKA",10.696000099182129,7.320109844207764,2073,1,"N","Africa/Lagos","airport","OurAirports" 270,"Mallam Aminu International Airport","Kano","Nigeria","KAN","DNKN",12.0476,8.52462,1562,1,"N","Africa/Lagos","airport","OurAirports" 271,"Maiduguri International Airport","Maiduguri","Nigeria","MIU","DNMA",11.855299949645996,13.080900192260742,1099,1,"N","Africa/Lagos","airport","OurAirports" 272,"Makurdi Airport","Makurdi","Nigeria","MDI","DNMK",7.70388,8.61394,371,1,"N","Africa/Lagos","airport","OurAirports" 273,"Murtala Muhammed International Airport","Lagos","Nigeria","LOS","DNMM",6.5773701667785645,3.321160078048706,135,1,"N","Africa/Lagos","airport","OurAirports" 274,"Minna Airport","Minna","Nigeria","MXJ","DNMN",9.652170181274414,6.462259769439697,834,1,"N","Africa/Lagos","airport","OurAirports" 275,"Port Harcourt International Airport","Port Hartcourt","Nigeria","PHC","DNPO",5.0154900550842285,6.94959020614624,87,1,"N","Africa/Lagos","airport","OurAirports" 276,"Sadiq Abubakar III International Airport","Sokoto","Nigeria","SKO","DNSO",12.916299819946289,5.207190036773682,1010,1,"N","Africa/Lagos","airport","OurAirports" 277,"Yola Airport","Yola","Nigeria","YOL","DNYO",9.257550239562988,12.430399894714355,599,1,"N","Africa/Lagos","airport","OurAirports" 278,"Zaria Airport","Zaria","Nigeria","ZAR","DNZA",11.1302,7.68581,2170,1,"N","Africa/Lagos","airport","OurAirports" 279,"Maradi Airport","Maradi","Niger","MFQ","DRRM",13.5024995803833,7.1267499923706055,1240,1,"N","Africa/Niamey","airport","OurAirports" 280,"Diori Hamani International Airport","Niamey","Niger","NIM","DRRN",13.4815,2.18361,732,1,"N","Africa/Niamey","airport","OurAirports" 281,"Tahoua Airport","Tahoua","Niger","THZ","DRRT",14.875699996948242,5.265359878540039,1266,1,"N","Africa/Niamey","airport","OurAirports" 282,"Mano Dayak International Airport","Agadez","Niger","AJY","DRZA",16.965999603271484,8.000109672546387,1657,1,"N","Africa/Niamey","airport","OurAirports" 283,"Dirkou Airport","Dirkou","Niger",\N,"DRZD",18.968700408935547,12.86870002746582,1273,1,"N","Africa/Niamey","airport","OurAirports" 284,"Diffa Airport","Diffa","Niger",\N,"DRZF",13.372900009155273,12.626700401306152,994,1,"N","Africa/Niamey","airport","OurAirports" 285,"Zinder Airport","Zinder","Niger","ZND","DRZR",13.779000282287598,8.983759880065918,1516,1,"N","Africa/Niamey","airport","OurAirports" 286,"Monastir Habib Bourguiba International Airport","Monastir","Tunisia","MIR","DTMB",35.75809860229492,10.75469970703125,9,1,"E","Africa/Tunis","airport","OurAirports" 287,"Tunis Carthage International Airport","Tunis","Tunisia","TUN","DTTA",36.85100173950195,10.22719955444336,22,1,"E","Africa/Tunis","airport","OurAirports" 288,"Sidi Ahmed Air Base","Bizerte","Tunisia",\N,"DTTB",37.245398,9.79145,20,1,"E","Africa/Tunis","airport","OurAirports" 289,"Remada Air Base","Remada","Tunisia",\N,"DTTD",32.30619812011719,10.382100105285645,1004,1,"E","Africa/Tunis","airport","OurAirports" 290,"Gafsa Ksar International Airport","Gafsa","Tunisia","GAF","DTTF",34.422000885009766,8.822500228881836,1060,1,"E","Africa/Tunis","airport","OurAirports" 291,"Gabès Matmata International Airport","Gabes","Tunisia","GAE","DTTG",33.87689971923828,10.103300094604492,26,1,"E","Africa/Tunis","airport","OurAirports" 292,"Borj El Amri Airport","Bordj El Amri","Tunisia",\N,"DTTI",36.72129821777344,9.94314956665039,110,1,"E","Africa/Tunis","airport","OurAirports" 293,"Djerba Zarzis International Airport","Djerba","Tunisia","DJE","DTTJ",33.875,10.775500297546387,19,1,"E","Africa/Tunis","airport","OurAirports" 294,"El Borma Airport","El Borma","Tunisia","EBM","DTTR",31.704299926757812,9.254619598388672,827,1,"E","Africa/Tunis","airport","OurAirports" 295,"Sfax Thyna International Airport","Sfax","Tunisia","SFA","DTTX",34.71799850463867,10.690999984741211,85,1,"E","Africa/Tunis","airport","OurAirports" 296,"Tozeur Nefta International Airport","Tozeur","Tunisia","TOE","DTTZ",33.939701080322266,8.110560417175293,287,1,"E","Africa/Tunis","airport","OurAirports" 297,"Niamtougou International Airport","Niatougou","Togo","LRL","DXNG",9.767330169677734,1.091249942779541,1515,0,"N","Africa/Lome","airport","OurAirports" 298,"Lomé-Tokoin Airport","Lome","Togo","LFW","DXXX",6.165609836578369,1.2545100450515747,72,0,"N","Africa/Lome","airport","OurAirports" 299,"Antwerp International Airport (Deurne)","Antwerp","Belgium","ANR","EBAW",51.1893997192,4.46027994156,39,1,"E","Europe/Brussels","airport","OurAirports" 300,"Beauvechain Air Base","Beauvechain","Belgium",\N,"EBBE",50.75859832763672,4.768330097198486,370,1,"E","Europe/Brussels","airport","OurAirports" 301,"Kleine Brogel Air Base","Kleine Brogel","Belgium",\N,"EBBL",51.168301,5.47,200,1,"E","Europe/Brussels","airport","OurAirports" 302,"Brussels Airport","Brussels","Belgium","BRU","EBBR",50.901401519800004,4.48443984985,184,1,"E","Europe/Brussels","airport","OurAirports" 303,"Jehonville Air Base","Bertrix","Belgium",\N,"EBBX",49.891700744628906,5.2238898277282715,1514,1,"E","Europe/Brussels","airport","OurAirports" 304,"Brussels South Charleroi Airport","Charleroi","Belgium","CRL","EBCI",50.459202,4.45382,614,1,"E","Europe/Brussels","airport","OurAirports" 305,"Chièvres Air Base","Chievres","Belgium",\N,"EBCV",50.575801849365234,3.8310000896453857,194,1,"E","Europe/Brussels","airport","OurAirports" 306,"Koksijde Air Base","Koksijde","Belgium",\N,"EBFN",51.090301513671875,2.652780055999756,20,1,"E","Europe/Brussels","airport","OurAirports" 307,"Florennes Air Base","Florennes","Belgium",\N,"EBFS",50.2433013916,4.64583015442,935,1,"E","Europe/Brussels","airport","OurAirports" 308,"Wevelgem Airport","Kortrijk-vevelgem","Belgium","KJK","EBKT",50.817199707,3.20472002029,64,1,"E","Europe/Brussels","airport","OurAirports" 309,"Liège Airport","Liege","Belgium","LGG","EBLG",50.63740158081055,5.443220138549805,659,1,"E","Europe/Brussels","airport","OurAirports" 310,"Ostend-Bruges International Airport","Ostend","Belgium","OST","EBOS",51.198898315399994,2.8622200489,13,1,"E","Europe/Brussels","airport","OurAirports" 311,"Zutendaal Air Base","Zutendaal","Belgium",\N,"EBSL",50.9474983215332,5.590559959411621,312,1,"E","Europe/Brussels","airport","OurAirports" 312,"Brustem Airfield Sint Truiden","Sint-truiden","Belgium",\N,"EBST",50.791901,5.20167,246,1,"E","Europe/Brussels","airport","OurAirports" 313,"Saint Hubert Air Base","St.-hubert","Belgium",\N,"EBSU",50.034400939941406,5.440810203552246,1930,1,"E","Europe/Brussels","airport","OurAirports" 314,"Ursel Air Base","Ursel","Belgium",\N,"EBUL",51.14419937133789,3.475559949874878,95,1,"E","Europe/Brussels","airport","OurAirports" 315,"Weelde Air Base","Weelde","Belgium",\N,"EBWE",51.394798278808594,4.9601898193359375,105,1,"E","Europe/Brussels","airport","OurAirports" 316,"Zoersel (Oostmalle) Airfield","Zoersel","Belgium","OBL","EBZR",51.264702,4.75333,53,1,"E","Europe/Brussels","airport","OurAirports" 317,"Flugplatz Bautzen","Bautzen","Germany",\N,"EDAB",51.193611,14.519722,568,1,"E","Europe/Berlin","airport","OurAirports" 318,"Altenburg-Nobitz Airport","Altenburg","Germany","AOC","EDAC",50.981945,12.506389,640,1,"E","Europe/Berlin","airport","OurAirports" 319,"Dessau Airfield","Dessau","Germany",\N,"EDAD",51.831694,12.190962,187,1,"E","Europe/Berlin","airport","OurAirports" 320,"Eisenhüttenstadt Airfield","Eisenhuettenstadt","Germany",\N,"EDAE",52.195856,14.58753,144,1,"E","Europe/Berlin","airport","OurAirports" 322,"Großenhain Airport","Suhl","Germany",\N,"EDAK",51.30805587768555,13.555556297302246,417,1,"E","Europe/Berlin","airport","OurAirports" 323,"Merseburg Airport","Muehlhausen","Germany",\N,"EDAM",51.3630556,11.9408333,341,1,"E","Europe/Berlin","airport","OurAirports" 324,"Halle-Oppin Airport","Halle","Germany",\N,"EDAQ",51.552223,12.053889,348,1,"E","Europe/Berlin","airport","OurAirports" 325,"Riesa-Göhlis Airport","Riesa","Germany","IES","EDAU",51.2936096191,13.3561105728,322,1,"E","Europe/Berlin","airport","OurAirports" 326,"Rechlin-Lärz Airport","Rechlin-laerz","Germany","REB","EDAX",53.306388855,12.7522220612,220,1,"E","Europe/Berlin","airport","OurAirports" 327,"Strausberg Airport","Strausberg","Germany",\N,"EDAY",52.5805549621582,13.916666984558105,262,1,"E","Europe/Berlin","airport","OurAirports" 328,"Schönhagen Airport","Schoenhagen","Germany","QXH","EDAZ",52.203609,13.156389,152,1,"E","Europe/Berlin","airport","OurAirports" 329,"Barth Airport","Barth","Germany","BBH","EDBH",54.338253,12.710515,23,1,"E","Europe/Berlin","airport","OurAirports" 330,"Jena-Schöngleina Airfield","Jena","Germany",\N,"EDBJ",50.915279,11.714444,1247,1,"E","Europe/Berlin","airport","OurAirports" 331,"Kyritz Airport","Kyritz","Germany",\N,"EDBK",52.918888092041016,12.425277709960938,131,1,"E","Europe/Berlin","airport","OurAirports" 332,"Magdeburg ""City"" Airport","Magdeburg","Germany","ZMG","EDBM",52.073612,11.626389,259,1,"E","Europe/Berlin","airport","OurAirports" 333,"Rothenburg/Görlitz Airport","Rothenburg/ol","Germany",\N,"EDBR",51.36333465576172,14.949999809265137,518,1,"E","Europe/Berlin","airport","OurAirports" 334,"Anklam Airfield","Anklam","Germany",\N,"EDCA",53.832779,13.668611,16,1,"E","Europe/Berlin","airport","OurAirports" 335,"Cottbus-Drewitz Airport","Cottbus","Germany","CBU","EDCD",51.889442,14.531944,272,1,"E","Europe/Berlin","airport","OurAirports" 336,"Kamenz Airport","Kamenz","Germany",\N,"EDCM",51.29694366455078,14.1274995803833,495,1,"E","Europe/Berlin","airport","OurAirports" 337,"Berlin-Schönefeld Airport","Berlin","Germany","SXF","EDDB",52.380001,13.5225,157,1,"E","Europe/Berlin","airport","OurAirports" 338,"Dresden Airport","Dresden","Germany","DRS","EDDC",51.1328010559082,13.767200469970703,755,1,"E","Europe/Berlin","airport","OurAirports" 339,"Erfurt Airport","Erfurt","Germany","ERF","EDDE",50.979801177978516,10.958100318908691,1036,1,"E","Europe/Berlin","airport","OurAirports" 340,"Frankfurt am Main Airport","Frankfurt","Germany","FRA","EDDF",50.033333,8.570556,364,1,"E","Europe/Berlin","airport","OurAirports" 341,"Münster Osnabrück Airport","Munster","Germany","FMO","EDDG",52.134601593,7.68483018875,160,1,"E","Europe/Berlin","airport","OurAirports" 342,"Hamburg Airport","Hamburg","Germany","HAM","EDDH",53.630401611328,9.9882297515869,53,1,"E","Europe/Berlin","airport","OurAirports" 343,"Berlin-Tempelhof International Airport","Berlin","Germany","THF","EDDI",52.472999572753906,13.403900146484375,167,1,"E","Europe/Berlin","airport","OurAirports" 344,"Cologne Bonn Airport","Cologne","Germany","CGN","EDDK",50.8658981323,7.1427397728,302,1,"E","Europe/Berlin","airport","OurAirports" 345,"Düsseldorf Airport","Duesseldorf","Germany","DUS","EDDL",51.289501,6.76678,147,1,"E","Europe/Berlin","airport","OurAirports" 346,"Munich Airport","Munich","Germany","MUC","EDDM",48.353802,11.7861,1487,1,"E","Europe/Berlin","airport","OurAirports" 347,"Nuremberg Airport","Nuernberg","Germany","NUE","EDDN",49.498699,11.078056,1046,1,"E","Europe/Berlin","airport","OurAirports" 348,"Leipzig/Halle Airport","Leipzig","Germany","LEJ","EDDP",51.423889,12.236389,465,1,"E","Europe/Berlin","airport","OurAirports" 349,"Saarbrücken Airport","Saarbruecken","Germany","SCN","EDDR",49.214599609400004,7.10950994492,1058,1,"E","Europe/Berlin","airport","OurAirports" 350,"Stuttgart Airport","Stuttgart","Germany","STR","EDDS",48.689899444599995,9.22196006775,1276,1,"E","Europe/Berlin","airport","OurAirports" 351,"Berlin-Tegel Airport","Berlin","Germany","TXL","EDDT",52.5597,13.2877,122,1,"E","Europe/Berlin","airport","OurAirports" 352,"Hannover Airport","Hannover","Germany","HAJ","EDDV",52.461101532,9.685079574580001,183,1,"E","Europe/Berlin","airport","OurAirports" 353,"Bremen Airport","Bremen","Germany","BRE","EDDW",53.0475006104,8.78666973114,14,1,"E","Europe/Berlin","airport","OurAirports" 354,"Frankfurt-Egelsbach Airport","Egelsbach","Germany","QEF","EDFE",49.959999,8.645833,384,1,"E","Europe/Berlin","airport","OurAirports" 355,"Frankfurt-Hahn Airport","Hahn","Germany","HHN","EDFH",49.9487,7.26389,1649,1,"E","Europe/Berlin","airport","OurAirports" 356,"Mannheim-City Airport","Mannheim","Germany","MHG","EDFM",49.473057,8.514167,308,1,"E","Europe/Berlin","airport","OurAirports" 357,"Allendorf/Eder Airport","Allendorf","Germany",\N,"EDFQ",51.03499984741211,8.680832862854004,1158,1,"E","Europe/Berlin","airport","OurAirports" 358,"Worms Airport","Worms","Germany",\N,"EDFV",49.606945,8.368333,295,1,"E","Europe/Berlin","airport","OurAirports" 359,"Mainz-Finthen Airport","Mainz","Germany",\N,"EDFZ",49.967499,8.147222,525,1,"E","Europe/Berlin","airport","OurAirports" 360,"Eisenach-Kindel Airport","Eisenach","Germany","EIB","EDGE",50.991604,10.47973,1112,1,"E","Europe/Berlin","airport","OurAirports" 361,"Siegerland Airport","Siegerland","Germany","SGE","EDGS",50.707698822021484,8.082969665527344,1966,1,"E","Europe/Berlin","airport","OurAirports" 362,"Hamburg-Finkenwerder Airport","Hamburg","Germany","XFW","EDHI",53.5352783203125,9.835556030273438,23,1,"E","Europe/Berlin","airport","OurAirports" 363,"Kiel-Holtenau Airport","Kiel","Germany","KEL","EDHK",54.37944412231445,10.145277976989746,102,1,"E","Europe/Berlin","airport","OurAirports" 364,"Lübeck Blankensee Airport","Luebeck","Germany","LBC","EDHL",53.8054008484,10.7192001343,53,1,"E","Europe/Berlin","airport","OurAirports" 365,"Flugplatz Dahlemer Binz","Dahlemer Binz","Germany",\N,"EDKV",50.405555725,6.5288891792,1896,1,"E","Europe/Berlin","airport","OurAirports" 366,"Meinerzhagen Airport","Meinerzhagen","Germany",\N,"EDKZ",51.099998474121094,7.599999904632568,1549,1,"E","Europe/Berlin","airport","OurAirports" 367,"Arnsberg-Menden Airport","Arnsberg","Germany",\N,"EDLA",51.483890533447266,7.8983330726623535,794,1,"E","Europe/Berlin","airport","OurAirports" 368,"Essen Mulheim Airport","Essen","Germany","ESS","EDLE",51.40230178833008,6.9373297691345215,424,1,"E","Europe/Berlin","airport","OurAirports" 369,"Bielefeld Airport","Bielefeld","Germany","BFE","EDLI",51.964722,8.544444,454,1,"E","Europe/Berlin","airport","OurAirports" 370,"Mönchengladbach Airport","Moenchengladbach","Germany","MGL","EDLN",51.230278,6.504444,125,1,"E","Europe/Berlin","airport","OurAirports" 371,"Paderborn Lippstadt Airport","Paderborn","Germany","PAD","EDLP",51.614101409899995,8.616319656369999,699,1,"E","Europe/Berlin","airport","OurAirports" 372,"Stadtlohn-Vreden Airport","Stadtlohn","Germany",\N,"EDLS",51.99583435058594,6.8405561447143555,157,1,"E","Europe/Berlin","airport","OurAirports" 373,"Dortmund Airport","Dortmund","Germany","DTM","EDLW",51.51829910279999,7.61223983765,425,1,"E","Europe/Berlin","airport","OurAirports" 374,"Augsburg Airport","Augsburg","Germany","AGB","EDMA",48.425278,10.931667,1516,1,"E","Europe/Berlin","airport","OurAirports" 375,"Biberach a.d. Riß Airfield","Biberach","Germany",\N,"EDMB",48.111111,9.762778,1903,1,"E","Europe/Berlin","airport","OurAirports" 376,"Eggenfelden Airport","Eggenfelden","Germany",\N,"EDME",48.39611053466797,12.723610877990723,1342,1,"E","Europe/Berlin","airport","OurAirports" 377,"Mindelheim-Mattsies Airfield","Mindelheim","Germany",\N,"EDMN",48.106945,10.525,1857,1,"E","Europe/Berlin","airport","OurAirports" 378,"Oberpfaffenhofen Airport","Oberpfaffenhofen","Germany","OBF","EDMO",48.081402,11.2831,1947,1,"E","Europe/Berlin","airport","OurAirports" 379,"Straubing Airport","Straubing","Germany","RBM","EDMS",48.90083312988281,12.516667366027832,1047,1,"E","Europe/Berlin","airport","OurAirports" 380,"Vilshofen Airport","Vilshofen","Germany",\N,"EDMV",48.6349983215332,13.195555686950684,991,1,"E","Europe/Berlin","airport","OurAirports" 381,"Leutkirch-Unterzeil Airport","Leutkirch","Germany",\N,"EDNL",47.858890533447266,10.014166831970215,2100,1,"E","Europe/Berlin","airport","OurAirports" 382,"Friedrichshafen Airport","Friedrichshafen","Germany","FDH","EDNY",47.671298980699994,9.51148986816,1367,1,"E","Europe/Berlin","airport","OurAirports" 383,"Schwerin Parchim Airport","Parchim","Germany","SZW","EDOP",53.426998,11.7834,166,1,"E","Europe/Berlin","airport","OurAirports" 384,"Stendal-Borstel Airport","Stendal","Germany",\N,"EDOV",52.62888717651367,11.818611145019531,184,1,"E","Europe/Berlin","airport","OurAirports" 385,"Aalen-Heidenheim/Elchingen Airport","Aalen-heidenheim","Germany",\N,"EDPA",48.77777862548828,10.264721870422363,1916,1,"E","Europe/Berlin","airport","OurAirports" 386,"Bayreuth Airport","Bayreuth","Germany","BYU","EDQD",49.985001,11.64,1601,1,"E","Europe/Berlin","airport","OurAirports" 387,"Burg Feuerstein Airport","Burg Feuerstein","Germany","URD","EDQE",49.794166564941,11.133610725403,1673,1,"E","Europe/Berlin","airport","OurAirports" 388,"Hof-Plauen Airport","Hof","Germany","HOQ","EDQM",50.288612365722656,11.856389045715332,1959,1,"E","Europe/Berlin","airport","OurAirports" 389,"Haßfurt-Schweinfurt Airport","Hassfurt","Germany",\N,"EDQT",50.0180549621582,10.529443740844727,719,1,"E","Europe/Berlin","airport","OurAirports" 390,"Koblenz-Winningen Airfield","Koblenz","Germany",\N,"EDRK",50.325558,7.528611,640,1,"E","Europe/Berlin","airport","OurAirports" 391,"Trier-Föhren Airport","Trier","Germany",\N,"EDRT",49.863888,6.7875,666,1,"E","Europe/Berlin","airport","OurAirports" 392,"Speyer Airfield","Speyer","Germany",\N,"EDRY",49.304722,8.451389,312,1,"E","Europe/Berlin","airport","OurAirports" 393,"Zweibrücken Airport","Zweibruecken","Germany","ZQW","EDRZ",49.2094,7.40056,1132,1,"E","Europe/Berlin","airport","OurAirports" 394,"Donaueschingen-Villingen Airport","Donaueschingen","Germany","ZQL","EDTD",47.97333145139999,8.52222156525,2231,1,"E","Europe/Berlin","airport","OurAirports" 395,"Freiburg i. Br. Airport","Freiburg","Germany",\N,"EDTF",48.022777557400005,7.83249998093,801,1,"E","Europe/Berlin","airport","OurAirports" 396,"Mengen-Hohentengen Airport","Mengen","Germany",\N,"EDTM",48.053890228271484,9.372777938842773,1818,1,"E","Europe/Berlin","airport","OurAirports" 397,"Adolf Würth Airport","Schwaebisch Hall","Germany",\N,"EDTY",49.1183319092,9.783888816829998,1299,1,"E","Europe/Berlin","airport","OurAirports" 398,"Finsterwalde/Schacksdorf Airport","Soest","Germany",\N,"EDUS",51.607498,13.743611,384,1,"E","Europe/Berlin","airport","OurAirports" 399,"Braunschweig-Wolfsburg Airport","Braunschweig","Germany","BWE","EDVE",52.319199,10.5561,295,1,"E","Europe/Berlin","airport","OurAirports" 400,"Kassel-Calden Airport","Kassel","Germany","KSF","EDVK",51.417273,9.384967,820,1,"E","Europe/Berlin","airport","OurAirports" 401,"Hildesheim Airport","Hildesheim","Germany",\N,"EDVM",52.18138885498047,9.946389198303223,292,1,"E","Europe/Berlin","airport","OurAirports" 402,"Bremerhaven Airport","Bremerhaven","Germany","BRV","EDWB",53.506943,8.572778,10,1,"E","Europe/Berlin","airport","OurAirports" 403,"Emden Airport","Emden","Germany","EME","EDWE",53.391109,7.2275,3,1,"E","Europe/Berlin","airport","OurAirports" 404,"Leer-Papenburg Airport","Leer","Germany",\N,"EDWF",53.271942138671875,7.441667079925537,3,1,"E","Europe/Berlin","airport","OurAirports" 405,"Wilhelmshaven-Mariensiel Airport","Wilhelmshaven","Germany","WVN","EDWI",53.502220153808594,8.05222225189209,16,1,"E","Europe/Berlin","airport","OurAirports" 406,"Borkum Airport","Borkum","Germany","BMK","EDWR",53.59639,6.709167,3,1,"E","Europe/Berlin","airport","OurAirports" 407,"Norderney Airport","Norderney","Germany","NRD","EDWY",53.70694351196289,7.230000019073486,7,1,"E","Europe/Berlin","airport","OurAirports" 408,"Flensburg-Schäferhaus Airport","Flensburg","Germany","FLF","EDXF",54.77333450317383,9.378889083862305,131,1,"E","Europe/Berlin","airport","OurAirports" 409,"Rendsburg-Schachtholm Airport","Rendsburg","Germany",\N,"EDXR",54.220001220703125,9.599444389343262,23,1,"E","Europe/Berlin","airport","OurAirports" 410,"Westerland Sylt Airport","Westerland","Germany","GWT","EDXW",54.9132003784,8.34047031403,51,1,"E","Europe/Berlin","airport","OurAirports" 411,"Ämari Air Base","Armari Air Force Base","Estonia",\N,"EEEI",59.26029968261719,24.208499908447266,65,2,"E","Europe/Tallinn","airport","OurAirports" 412,"Kärdla Airport","Kardla","Estonia","KDL","EEKA",58.99079895019531,22.830699920654297,18,2,"E","Europe/Tallinn","airport","OurAirports" 413,"Kuressaare Airport","Kuressaare","Estonia","URE","EEKE",58.22990036010742,22.50950050354004,14,2,"E","Europe/Tallinn","airport","OurAirports" 414,"Pärnu Airport","Parnu","Estonia","EPU","EEPU",58.41899871826172,24.47279930114746,47,2,"E","Europe/Tallinn","airport","OurAirports" 415,"Lennart Meri Tallinn Airport","Tallinn-ulemiste International","Estonia","TLL","EETN",59.41329956049999,24.832799911499997,131,2,"E","Europe/Tallinn","airport","OurAirports" 416,"Tartu Airport","Tartu","Estonia","TAY","EETU",58.3074989319,26.690399169900004,219,2,"E","Europe/Tallinn","airport","OurAirports" 417,"Enontekio Airport","Enontekio","Finland","ENF","EFET",68.362602233887,23.424299240112,1005,2,"E","Europe/Helsinki","airport","OurAirports" 418,"Eura Airport","Eura","Finland",\N,"EFEU",61.1161003112793,22.201400756835938,259,2,"E","Europe/Helsinki","airport","OurAirports" 419,"Halli Airport","Halli","Finland","KEV","EFHA",61.856039,24.786686,479,2,"E","Europe/Helsinki","airport","OurAirports" 420,"Helsinki Malmi Airport","Helsinki","Finland","HEM","EFHF",60.254600524902344,25.042800903320312,57,2,"E","Europe/Helsinki","airport","OurAirports" 421,"Helsinki Vantaa Airport","Helsinki","Finland","HEL","EFHK",60.317199707031,24.963300704956,179,2,"E","Europe/Helsinki","airport","OurAirports" 422,"Hameenkyro Airport","Hameenkyro","Finland",\N,"EFHM",61.689701080322266,23.073699951171875,449,2,"E","Europe/Helsinki","airport","OurAirports" 423,"Hanko Airport","Hanko","Finland",\N,"EFHN",59.848899841308594,23.083599090576172,20,2,"E","Europe/Helsinki","airport","OurAirports" 424,"Hyvinkää Airfield","Hyvinkaa","Finland","HYV","EFHV",60.6543998718,24.8810997009,430,2,"E","Europe/Helsinki","airport","OurAirports" 425,"Kiikala Airport","Kikala","Finland",\N,"EFIK",60.4625015259,23.6525001526,381,2,"E","Europe/Helsinki","airport","OurAirports" 426,"Immola Airport","Immola","Finland",\N,"EFIM",61.24919891357422,28.90369987487793,338,2,"E","Europe/Helsinki","airport","OurAirports" 427,"Kitee Airport","Kitee","Finland","KTQ","EFIT",62.1661,30.073601,364,2,"E","Europe/Helsinki","airport","OurAirports" 428,"Ivalo Airport","Ivalo","Finland","IVL","EFIV",68.607299804688,27.405300140381,481,2,"E","Europe/Helsinki","airport","OurAirports" 429,"Joensuu Airport","Joensuu","Finland","JOE","EFJO",62.662899017334,29.607500076294,398,2,"E","Europe/Helsinki","airport","OurAirports" 430,"Jyvaskyla Airport","Jyvaskyla","Finland","JYV","EFJY",62.399501800537,25.678300857544,459,2,"E","Europe/Helsinki","airport","OurAirports" 431,"Kauhava Airport","Kauhava","Finland","KAU","EFKA",63.127102,23.051399,151,2,"E","Europe/Helsinki","airport","OurAirports" 432,"Kemi-Tornio Airport","Kemi","Finland","KEM","EFKE",65.778701782227,24.582099914551,61,2,"E","Europe/Helsinki","airport","OurAirports" 433,"Kajaani Airport","Kajaani","Finland","KAJ","EFKI",64.285499572754,27.692399978638,483,2,"E","Europe/Helsinki","airport","OurAirports" 434,"Kauhajoki Airport","Kauhajoki","Finland","KHJ","EFKJ",62.4625015259,22.3931007385,407,2,"E","Europe/Helsinki","airport","OurAirports" 435,"Kokkola-Pietarsaari Airport","Kruunupyy","Finland","KOK","EFKK",63.721199035645,23.143100738525,84,2,"E","Europe/Helsinki","airport","OurAirports" 436,"Kemijarvi Airport","Kemijarvi","Finland",\N,"EFKM",66.712898,27.156799,692,2,"E","Europe/Helsinki","airport","OurAirports" 437,"Kuusamo Airport","Kuusamo","Finland","KAO","EFKS",65.987602233887,29.239400863647,866,2,"E","Europe/Helsinki","airport","OurAirports" 438,"Kittilä Airport","Kittila","Finland","KTT","EFKT",67.700996398926,24.846799850464,644,2,"E","Europe/Helsinki","airport","OurAirports" 439,"Kuopio Airport","Kuopio","Finland","KUO","EFKU",63.007099151611,27.797800064087,323,2,"E","Europe/Helsinki","airport","OurAirports" 440,"Lahti Vesivehmaa Airport","Vesivehmaa","Finland","QLF","EFLA",61.144199,25.693501,502,2,"E","Europe/Helsinki","airport","OurAirports" 441,"Lappeenranta Airport","Lappeenranta","Finland","LPP","EFLP",61.044601,28.144743,349,2,"E","Europe/Helsinki","airport","OurAirports" 442,"Mariehamn Airport","Mariehamn","Finland","MHQ","EFMA",60.122200012207,19.898199081421,17,2,"E","Europe/Mariehamn","airport","OurAirports" 443,"Menkijarvi Airport","Menkijarvi","Finland",\N,"EFME",62.94670104980469,23.51889991760254,331,2,"E","Europe/Helsinki","airport","OurAirports" 444,"Mikkeli Airport","Mikkeli","Finland","MIK","EFMI",61.6866,27.201799,329,2,"E","Europe/Helsinki","airport","OurAirports" 445,"Nummela Airport","Nummela","Finland",\N,"EFNU",60.333900451699996,24.2964000702,367,2,"E","Europe/Helsinki","airport","OurAirports" 446,"Oulu Airport","Oulu","Finland","OUL","EFOU",64.930099487305,25.354600906372,47,2,"E","Europe/Helsinki","airport","OurAirports" 447,"Piikajarvi Airport","Piikajarvi","Finland",\N,"EFPI",61.245601654052734,22.19339942932129,148,2,"E","Europe/Helsinki","airport","OurAirports" 448,"Pori Airport","Pori","Finland","POR","EFPO",61.461700439453,21.799999237061,44,2,"E","Europe/Helsinki","airport","OurAirports" 449,"Pudasjärvi Airport","Pudasjarvi","Finland",\N,"EFPU",65.4021987915,26.946899414100002,397,2,"E","Europe/Helsinki","airport","OurAirports" 450,"Pyhäsalmi Airport","Pyhasalmi","Finland",\N,"EFPY",63.7318992615,25.926300048799998,528,2,"E","Europe/Helsinki","airport","OurAirports" 451,"Raahe Pattijoki Airport","Pattijoki","Finland",\N,"EFRH",64.6881027222,24.6958007812,118,2,"E","Europe/Helsinki","airport","OurAirports" 452,"Rantasalmi Airport","Rantasalmi","Finland",\N,"EFRN",62.0654983521,28.3565006256,292,2,"E","Europe/Helsinki","airport","OurAirports" 453,"Rovaniemi Airport","Rovaniemi","Finland","RVN","EFRO",66.564796447754,25.830400466919,642,2,"E","Europe/Helsinki","airport","OurAirports" 454,"Rayskala Airport","Rayskala","Finland",\N,"EFRY",60.74470138549805,24.107799530029297,407,2,"E","Europe/Helsinki","airport","OurAirports" 455,"Savonlinna Airport","Savonlinna","Finland","SVL","EFSA",61.943099975586,28.945100784302,311,2,"E","Europe/Helsinki","airport","OurAirports" 456,"Selanpaa Airport","Selanpaa","Finland",\N,"EFSE",61.062400817871094,26.798900604248047,417,2,"E","Europe/Helsinki","airport","OurAirports" 457,"Sodankyla Airport","Sodankyla","Finland","SOT","EFSO",67.3949966431,26.6191005707,602,2,"E","Europe/Helsinki","airport","OurAirports" 458,"Tampere-Pirkkala Airport","Tampere","Finland","TMP","EFTP",61.414100646973,23.604400634766,390,2,"E","Europe/Helsinki","airport","OurAirports" 459,"Teisko Airport","Teisko","Finland",\N,"EFTS",61.7733,24.027,515,2,"E","Europe/Helsinki","airport","OurAirports" 460,"Turku Airport","Turku","Finland","TKU","EFTU",60.514099121094,22.262800216675,161,2,"E","Europe/Helsinki","airport","OurAirports" 461,"Utti Air Base","Utti","Finland","UTI","EFUT",60.89640045166,26.938400268555,339,2,"E","Europe/Helsinki","airport","OurAirports" 462,"Vaasa Airport","Vaasa","Finland","VAA","EFVA",63.050701141357,21.762199401855,19,2,"E","Europe/Helsinki","airport","OurAirports" 463,"Varkaus Airport","Varkaus","Finland","VRK","EFVR",62.171100616455,27.868600845337,286,2,"E","Europe/Helsinki","airport","OurAirports" 464,"Ylivieska Airfield","Ylivieska-raudaskyla","Finland","YLI","EFYL",64.0547222,24.7252778,252,2,"E","Europe/Helsinki","airport","OurAirports" 465,"Belfast International Airport","Belfast","United Kingdom","BFS","EGAA",54.6575012207,-6.2158298492399995,268,0,"E","Europe/London","airport","OurAirports" 466,"St Angelo Airport","Enniskillen","United Kingdom","ENK","EGAB",54.39889907836914,-7.651669979095459,155,0,"E","Europe/London","airport","OurAirports" 467,"George Best Belfast City Airport","Belfast","United Kingdom","BHD","EGAC",54.618099212646484,-5.872499942779541,15,0,"E","Europe/London","airport","OurAirports" 468,"City of Derry Airport","Londonderry","United Kingdom","LDY","EGAE",55.04280090332031,-7.161109924316406,22,0,"E","Europe/London","airport","OurAirports" 469,"Birmingham International Airport","Birmingham","United Kingdom","BHX","EGBB",52.453899383499994,-1.74802994728,327,0,"E","Europe/London","airport","OurAirports" 470,"Coventry Airport","Coventry","United Kingdom","CVT","EGBE",52.3697013855,-1.4797199964499999,267,0,"E","Europe/London","airport","OurAirports" 471,"Leicester Airport","Leicester","United Kingdom",\N,"EGBG",52.6077995300293,-1.03193998336792,469,0,"E","Europe/London","airport","OurAirports" 472,"Gloucestershire Airport","Golouchestershire","United Kingdom","GLO","EGBJ",51.89419937133789,-2.167220115661621,101,0,"E","Europe/London","airport","OurAirports" 474,"Wolverhampton Halfpenny Green Airport","Halfpenny Green","United Kingdom",\N,"EGBO",52.51750183105469,-2.2594399452209473,283,0,"E","Europe/London","airport","OurAirports" 475,"Cotswold Airport","Pailton","United Kingdom","GBA","EGBP",51.668095,-2.05694,433,0,"E","Europe/London","airport","OurAirports" 476,"Turweston Airport","Turweston","United Kingdom",\N,"EGBT",52.0407981873,-1.09555995464,448,0,"E","Europe/London","airport","OurAirports" 477,"Wellesbourne Mountford Airport","Wellesbourne","United Kingdom",\N,"EGBW",52.19219970703125,-1.6144399642944336,159,0,"E","Europe/London","airport","OurAirports" 478,"Manchester Airport","Manchester","United Kingdom","MAN","EGCC",53.35369873046875,-2.2749500274658203,257,0,"E","Europe/London","airport","OurAirports" 479,"Manchester Woodford Airport","Woodfort","United Kingdom",\N,"EGCD",53.3381,-2.14889,295,0,"E","Europe/London","airport","OurAirports" 480,"Royal Marines Base Chivenor Airport","Chivenor","United Kingdom",\N,"EGDC",51.08720016479492,-4.1503400802612305,27,0,"E","Europe/London","airport","OurAirports" 481,"Newquay Cornwall Airport","Newquai","United Kingdom","NQY","EGHQ",50.44060134887695,-4.995409965515137,390,0,"E","Europe/London","airport","OurAirports" 482,"RAF Lyneham","Lyneham","United Kingdom","LYE","EGDL",51.5051,-1.99343,513,0,"E","Europe/London","airport","OurAirports" 483,"MoD Boscombe Down Airport","Boscombe Down","United Kingdom",\N,"EGDM",51.152198791503906,-1.7474100589752197,407,0,"E","Europe/London","airport","OurAirports" 484,"RNAS Culdrose","Culdrose","United Kingdom",\N,"EGDR",50.08610153198242,-5.255710124969482,267,0,"E","Europe/London","airport","OurAirports" 485,"MoD St. Athan","St. Athan","United Kingdom",\N,"EGDX",51.4048,-3.43575,163,0,"E","Europe/London","airport","OurAirports" 486,"RNAS Yeovilton","Yeovilton","United Kingdom","YEO","EGDY",51.0093994140625,-2.638819932937622,75,0,"E","Europe/London","airport","OurAirports" 487,"Haverfordwest Airport","Haverfordwest","United Kingdom","HAW","EGFE",51.833099365234375,-4.9611101150512695,159,0,"E","Europe/London","airport","OurAirports" 488,"Cardiff International Airport","Cardiff","United Kingdom","CWL","EGFF",51.39670181274414,-3.343329906463623,220,0,"E","Europe/London","airport","OurAirports" 489,"Swansea Airport","Swansea","United Kingdom","SWS","EGFH",51.60530090332031,-4.0678300857543945,299,0,"E","Europe/London","airport","OurAirports" 490,"Bristol Airport","Bristol","United Kingdom","BRS","EGGD",51.382702,-2.71909,622,0,"E","Europe/London","airport","OurAirports" 491,"Liverpool John Lennon Airport","Liverpool","United Kingdom","LPL","EGGP",53.33359909057617,-2.849720001220703,80,0,"E","Europe/London","airport","OurAirports" 492,"London Luton Airport","London","United Kingdom","LTN","EGGW",51.874698638916016,-0.36833301186561584,526,0,"E","Europe/London","airport","OurAirports" 493,"Plymouth City Airport","Plymouth","United Kingdom","PLH","EGHD",50.422798,-4.10583,476,0,"E","Europe/London","airport","OurAirports" 494,"Bournemouth Airport","Bournemouth","United Kingdom","BOH","EGHH",50.779998779296875,-1.8424999713897705,38,0,"E","Europe/London","airport","OurAirports" 495,"Southampton Airport","Southampton","United Kingdom","SOU","EGHI",50.95029830932617,-1.3567999601364136,44,0,"E","Europe/London","airport","OurAirports" 496,"Lasham Airport","Lasham","United Kingdom","QLA","EGHL",51.187198638916016,-1.0334999561309814,618,0,"E","Europe/London","airport","OurAirports" 497,"Alderney Airport","Alderney","Guernsey","ACI","EGJA",49.706104,-2.21472,290,0,"E","Europe/Guernsey","airport","OurAirports" 498,"Guernsey Airport","Guernsey","Guernsey","GCI","EGJB",49.435001373291016,-2.6019699573516846,336,0,"E","Europe/Guernsey","airport","OurAirports" 499,"Jersey Airport","Jersey","Jersey","JER","EGJJ",49.20790100097656,-2.195509910583496,277,0,"E","Europe/Jersey","airport","OurAirports" 500,"Shoreham Airport","Shoreham By Sea","United Kingdom","ESH","EGKA",50.835602,-0.297222,7,0,"E","Europe/London","airport","OurAirports" 501,"London Biggin Hill Airport","Biggin Hill","United Kingdom","BQH","EGKB",51.33079910279999,0.0324999988079,598,0,"E","Europe/London","airport","OurAirports" 502,"London Gatwick Airport","London","United Kingdom","LGW","EGKK",51.148102,-0.190278,202,0,"E","Europe/London","airport","OurAirports" 503,"London City Airport","London","United Kingdom","LCY","EGLC",51.505299,0.055278,19,0,"E","Europe/London","airport","OurAirports" 504,"Farnborough Airport","Farnborough","United Kingdom","FAB","EGLF",51.2757987976,-0.776332974434,238,0,"E","Europe/London","airport","OurAirports" 505,"Chalgrove Airport","Chalsgrove","United Kingdom",\N,"EGLJ",51.67610168457031,-1.0808299779891968,240,0,"E","Europe/London","airport","OurAirports" 506,"Blackbushe Airport","Blackbushe","United Kingdom","BBS","EGLK",51.32389831542969,-0.8475000262260437,325,0,"E","Europe/London","airport","OurAirports" 507,"London Heathrow Airport","London","United Kingdom","LHR","EGLL",51.4706,-0.461941,83,0,"E","Europe/London","airport","OurAirports" 508,"Southend Airport","Southend","United Kingdom","SEN","EGMC",51.5713996887207,0.6955559849739075,49,0,"E","Europe/London","airport","OurAirports" 509,"Lydd Airport","Lydd","United Kingdom","LYX","EGMD",50.95610046386719,0.9391670227050781,13,0,"E","Europe/London","airport","OurAirports" 510,"Kent International Airport","Manston","United Kingdom","MSE","EGMH",51.342201,1.34611,178,0,"E","Europe/London","airport","OurAirports" 511,"Brough Airport","Brough","United Kingdom",\N,"EGNB",53.7197,-0.566333,12,0,"E","Europe/London","airport","OurAirports" 512,"Carlisle Airport","Carlisle","United Kingdom","CAX","EGNC",54.9375,-2.8091700077056885,190,0,"E","Europe/London","airport","OurAirports" 513,"Retford Gamston Airport","Repton","United Kingdom",\N,"EGNE",53.280601501464844,-0.9513890147209167,91,0,"E","Europe/London","airport","OurAirports" 514,"Blackpool International Airport","Blackpool","United Kingdom","BLK","EGNH",53.77170181274414,-3.0286099910736084,34,0,"E","Europe/London","airport","OurAirports" 515,"Humberside Airport","Humberside","United Kingdom","HUY","EGNJ",53.57440185546875,-0.350832998752594,121,0,"E","Europe/London","airport","OurAirports" 516,"Barrow Walney Island Airport","Barrow Island","United Kingdom","BWF","EGNL",54.1286111,-3.2675,173,0,"E","Europe/London","airport","OurAirports" 517,"Leeds Bradford Airport","Leeds","United Kingdom","LBA","EGNM",53.86589813232422,-1.6605700254440308,681,0,"E","Europe/London","airport","OurAirports" 518,"Warton Airport","Warton","United Kingdom","WRT","EGNO",53.745098,-2.88306,55,0,"E","Europe/London","airport","OurAirports" 519,"Hawarden Airport","Hawarden","United Kingdom","CEG","EGNR",53.1781005859375,-2.9777801036834717,45,0,"E","Europe/London","airport","OurAirports" 520,"Isle of Man Airport","Isle Of Man","Isle of Man","IOM","EGNS",54.08330154418945,-4.623889923095703,52,0,"E","Europe/Isle_of_Man","airport","OurAirports" 521,"Newcastle Airport","Newcastle","United Kingdom","NCL","EGNT",55.037498474121094,-1.6916699409484863,266,0,"E","Europe/London","airport","OurAirports" 522,"Durham Tees Valley Airport","Teesside","United Kingdom","MME","EGNV",54.50920104980469,-1.4294099807739258,120,0,"E","Europe/London","airport","OurAirports" 523,"East Midlands Airport","East Midlands","United Kingdom","EMA","EGNX",52.8311004639,-1.32806003094,306,0,"E","Europe/London","airport","OurAirports" 524,"Llanbedr Airport","Llanbedr","United Kingdom",\N,"EGOD",52.811698913574,-4.1235799789429,30,0,"E","Europe/London","airport","OurAirports" 525,"RAF Ternhill","Ternhill","United Kingdom",\N,"EGOE",52.87120056152344,-2.533560037612915,272,0,"E","Europe/London","airport","OurAirports" 526,"RAF Shawbury","Shawbury","United Kingdom",\N,"EGOS",52.79819869995117,-2.6680400371551514,249,0,"E","Europe/London","airport","OurAirports" 528,"RAF Woodvale","Woodvale","United Kingdom",\N,"EGOW",53.5816,-3.05552,37,0,"E","Europe/London","airport","OurAirports" 529,"Kirkwall Airport","Kirkwall","United Kingdom","KOI","EGPA",58.957801818847656,-2.9049999713897705,50,0,"E","Europe/London","airport","OurAirports" 530,"Sumburgh Airport","Sumburgh","United Kingdom","LSI","EGPB",59.87889862060547,-1.2955600023269653,20,0,"E","Europe/London","airport","OurAirports" 531,"Wick Airport","Wick","United Kingdom","WIC","EGPC",58.458900451660156,-3.09306001663208,126,0,"E","Europe/London","airport","OurAirports" 532,"Aberdeen Dyce Airport","Aberdeen","United Kingdom","ABZ","EGPD",57.201900482177734,-2.197779893875122,215,0,"E","Europe/London","airport","OurAirports" 533,"Inverness Airport","Inverness","United Kingdom","INV","EGPE",57.54249954223633,-4.047500133514404,31,0,"E","Europe/London","airport","OurAirports" 534,"Glasgow International Airport","Glasgow","United Kingdom","GLA","EGPF",55.8718986511,-4.43306016922,26,0,"E","Europe/London","airport","OurAirports" 535,"Edinburgh Airport","Edinburgh","United Kingdom","EDI","EGPH",55.95000076293945,-3.372499942779541,135,0,"E","Europe/London","airport","OurAirports" 536,"Islay Airport","Islay","United Kingdom","ILY","EGPI",55.68190002441406,-6.256669998168945,56,0,"E","Europe/London","airport","OurAirports" 537,"Glasgow Prestwick Airport","Prestwick","United Kingdom","PIK","EGPK",55.5093994140625,-4.586669921875,65,0,"E","Europe/London","airport","OurAirports" 538,"Benbecula Airport","Benbecula","United Kingdom","BEB","EGPL",57.48109817504883,-7.3627800941467285,19,0,"E","Europe/London","airport","OurAirports" 539,"Scatsta Airport","Scatsta","United Kingdom","SCS","EGPM",60.43280029296875,-1.2961100339889526,81,0,"E","Europe/London","airport","OurAirports" 540,"Dundee Airport","Dundee","United Kingdom","DND","EGPN",56.45249938964844,-3.025830030441284,17,0,"E","Europe/London","airport","OurAirports" 541,"Stornoway Airport","Stornoway","United Kingdom","SYY","EGPO",58.215599060058594,-6.331110000610352,26,0,"E","Europe/London","airport","OurAirports" 542,"Tiree Airport","Tiree","United Kingdom","TRE","EGPU",56.49919891357422,-6.869170188903809,38,0,"E","Europe/London","airport","OurAirports" 543,"RAF Leuchars","Leuchars","United Kingdom","ADX","EGQL",56.37289810180664,-2.8684399127960205,38,0,"E","Europe/London","airport","OurAirports" 544,"RAF Lossiemouth","Lossiemouth","United Kingdom","LMO","EGQS",57.7052001953125,-3.339169979095459,42,0,"E","Europe/London","airport","OurAirports" 545,"Cambridge Airport","Cambridge","United Kingdom","CBG","EGSC",52.205002,0.175,47,0,"E","Europe/London","airport","OurAirports" 546,"Peterborough Business Airport","Peterborough","United Kingdom",\N,"EGSF",52.468101501464844,-0.2511110007762909,26,0,"E","Europe/London","airport","OurAirports" 547,"Norwich International Airport","Norwich","United Kingdom","NWI","EGSH",52.6758003235,1.28278005123,117,0,"E","Europe/London","airport","OurAirports" 548,"London Stansted Airport","London","United Kingdom","STN","EGSS",51.8849983215,0.234999999404,348,0,"E","Europe/London","airport","OurAirports" 549,"North Weald Airport","North Weald","United Kingdom",\N,"EGSX",51.721698761,0.154166996479,321,0,"E","Europe/London","airport","OurAirports" 550,"Sheffield City Heliport","Fowlmere","United Kingdom",\N,"EGSY",53.394299,-1.38849,231,0,"E","Europe/London","airport","OurAirports" 551,"Cranfield Airport","Cranfield","United Kingdom",\N,"EGTC",52.0722007751,-0.616666972637,358,0,"E","Europe/London","airport","OurAirports" 552,"Exeter International Airport","Exeter","United Kingdom","EXT","EGTE",50.73440170288086,-3.4138898849487305,102,0,"E","Europe/London","airport","OurAirports" 553,"Bristol Filton Airport","Bristol","United Kingdom","FZO","EGTG",51.5194015503,-2.59083008766,226,0,"E","Europe/London","airport","OurAirports" 554,"Oxford (Kidlington) Airport","Oxford","United Kingdom","OXF","EGTK",51.8368988037,-1.32000005245,270,0,"E","Europe/London","airport","OurAirports" 555,"RAF Benson","Benson","United Kingdom","BEX","EGUB",51.616401672399995,-1.09582996368,226,0,"E","Europe/London","airport","OurAirports" 556,"RAF Lakenheath","Lakenheath","United Kingdom","LKZ","EGUL",52.409301757799994,0.56099998951,32,0,"E","Europe/London","airport","OurAirports" 557,"RAF Mildenhall","Mildenhall","United Kingdom","MHZ","EGUN",52.361900329589844,0.48640599846839905,33,0,"E","Europe/London","airport","OurAirports" 558,"RAF Wattisham","Wattisham","United Kingdom",\N,"EGUW",52.1273002625,0.956264019012,284,0,"E","Europe/London","airport","OurAirports" 559,"RAF Wyton","Wyton","United Kingdom","QUY","EGUY",52.3572006226,-0.107832998037,135,0,"E","Europe/London","airport","OurAirports" 560,"RAF Fairford","Fairford","United Kingdom","FFD","EGVA",51.6822013855,-1.7900300025900002,286,0,"E","Europe/London","airport","OurAirports" 561,"RAF Brize Norton","Brize Norton","United Kingdom","BZZ","EGVN",51.75,-1.58362,288,0,"E","Europe/London","airport","OurAirports" 562,"RAF Odiham","Odiham","United Kingdom","ODH","EGVO",51.2341003418,-0.94282501936,405,0,"E","Europe/London","airport","OurAirports" 563,"DCAE Cosford Air Base","Cosford","United Kingdom",\N,"EGWC",52.639999,-2.30558,272,0,"E","Europe/London","airport","OurAirports" 564,"RAF Northolt","Northolt","United Kingdom","NHT","EGWU",51.553001403799996,-0.418166995049,124,0,"E","Europe/London","airport","OurAirports" 565,"RAF Coningsby","Coningsby","United Kingdom","QCY","EGXC",53.0929985046,-0.166014000773,25,0,"E","Europe/London","airport","OurAirports" 566,"RAF Dishforth","Dishforth","United Kingdom",\N,"EGXD",54.1371994019,-1.42025005817,117,0,"E","Europe/London","airport","OurAirports" 567,"Leeming Airport","Leeming","United Kingdom",\N,"EGXE",54.2924,-1.5354,132,0,"E","Europe/London","airport","OurAirports" 568,"Leeds East Airport","Church Fenton","United Kingdom",\N,"EGXG",53.834301,-1.1955,29,0,"E","Europe/London","airport","OurAirports" 569,"RAF Honington","Honington","United Kingdom","BEQ","EGXH",52.34260177612305,0.7729390263557434,174,0,"E","Europe/London","airport","OurAirports" 570,"RAF Cottesmore","Cottesmore","United Kingdom",\N,"EGXJ",52.735699,-0.648769,461,0,"E","Europe/London","airport","OurAirports" 571,"RAF Scampton","Scampton","United Kingdom","SQZ","EGXP",53.307800293,-0.550832986832,202,0,"E","Europe/London","airport","OurAirports" 572,"RAF Wittering","Wittering","United Kingdom",\N,"EGXT",52.612598,-0.476453,273,0,"E","Europe/London","airport","OurAirports" 573,"RAF Linton-On-Ouse","Linton-on-ouse","United Kingdom","HRT","EGXU",54.0489006042,-1.2527500391,53,0,"E","Europe/London","airport","OurAirports" 574,"RAF Waddington","Waddington","United Kingdom","WTN","EGXW",53.1661987305,-0.523810982704,231,0,"E","Europe/London","airport","OurAirports" 575,"RAF Topcliffe","Topcliffe","United Kingdom",\N,"EGXZ",54.205501556399994,-1.3820899725,92,0,"E","Europe/London","airport","OurAirports" 576,"RAF Cranwell","Cranwell","United Kingdom",\N,"EGYD",53.0303001404,-0.48324200511,218,0,"E","Europe/London","airport","OurAirports" 577,"RAF Barkston Heath","Barkston Heath","United Kingdom",\N,"EGYE",52.962200164799995,-0.561625003815,367,0,"E","Europe/London","airport","OurAirports" 578,"RAF Marham","Marham","United Kingdom","KNF","EGYM",52.648395,0.550692,75,0,"E","Europe/London","airport","OurAirports" 579,"Mount Pleasant Airport","Mount Pleasant","Falkland Islands","MPN","EGYP",-51.82279968261719,-58.447200775146484,244,-3,"U","Atlantic/Stanley","airport","OurAirports" 580,"Amsterdam Airport Schiphol","Amsterdam","Netherlands","AMS","EHAM",52.308601,4.76389,-11,1,"E","Europe/Amsterdam","airport","OurAirports" 581,"Budel Airfield Kempen","Weert","Netherlands",\N,"EHBD",51.255299,5.60139,114,1,"E","Europe/Amsterdam","airport","OurAirports" 582,"Maastricht Aachen Airport","Maastricht","Netherlands","MST","EHBK",50.911701,5.77014,375,1,"E","Europe/Amsterdam","airport","OurAirports" 583,"Deelen Air Base","Deelen","Netherlands",\N,"EHDL",52.0606,5.87306,158,1,"E","Europe/Amsterdam","airport","OurAirports" 584,"Drachten Airport","Drachten","Netherlands",\N,"EHDR",53.1192016602,6.12972021103,14,1,"E","Europe/Amsterdam","airport","OurAirports" 585,"Eindhoven Airport","Eindhoven","Netherlands","EIN","EHEH",51.4500999451,5.37452983856,74,1,"E","Europe/Amsterdam","airport","OurAirports" 586,"Eelde Airport","Groningen","Netherlands","GRQ","EHGG",53.1197013855,6.57944011688,17,1,"E","Europe/Amsterdam","airport","OurAirports" 587,"Gilze Rijen Air Base","Gilze-rijen","Netherlands","GLZ","EHGR",51.56740188598633,4.931829929351807,49,1,"E","Europe/Amsterdam","airport","OurAirports" 588,"De Kooy Airport","De Kooy","Netherlands","DHR","EHKD",52.92340087890625,4.780620098114014,3,1,"E","Europe/Amsterdam","airport","OurAirports" 589,"Lelystad Airport","Lelystad","Netherlands","LEY","EHLE",52.4603,5.52722,-13,1,"E","Europe/Amsterdam","airport","OurAirports" 590,"Leeuwarden Air Base","Leeuwarden","Netherlands","LWR","EHLW",53.228599548339844,5.760560035705566,3,1,"E","Europe/Amsterdam","airport","OurAirports" 591,"Rotterdam The Hague Airport","Rotterdam","Netherlands","RTM","EHRD",51.956902,4.43722,-15,1,"E","Europe/Amsterdam","airport","OurAirports" 592,"Soesterberg Air Base","Soesterberg","Netherlands","UTC","EHSB",52.1273002625,5.27618980408,66,1,"E","Europe/Amsterdam","airport","OurAirports" 593,"Twente Airport","Enschede","Netherlands","ENS","EHTW",52.275833,6.889167,114,1,"E","Europe/Amsterdam","airport","OurAirports" 594,"Valkenburg Naval Air Base","Valkenburg","Netherlands","LID","EHVB",52.166099548300004,4.41794013977,1,1,"E","Europe/Amsterdam","airport","OurAirports" 595,"Woensdrecht Air Base","Woensdrecht","Netherlands","WOE","EHWO",51.4491,4.34203,63,1,"E","Europe/Amsterdam","airport","OurAirports" 596,"Cork Airport","Cork","Ireland","ORK","EICK",51.84130096435547,-8.491109848022461,502,0,"E","Europe/Dublin","airport","OurAirports" 597,"Galway Airport","Galway","Ireland","GWY","EICM",53.300201416015625,-8.941590309143066,81,0,"E","Europe/Dublin","airport","OurAirports" 599,"Dublin Airport","Dublin","Ireland","DUB","EIDW",53.421299,-6.27007,242,0,"E","Europe/Dublin","airport","OurAirports" 600,"Ireland West Knock Airport","Connaught","Ireland","NOC","EIKN",53.910301208496094,-8.818490028381348,665,0,"E","Europe/Dublin","airport","OurAirports" 601,"Kerry Airport","Kerry","Ireland","KIR","EIKY",52.18090057373047,-9.52377986907959,112,0,"E","Europe/Dublin","airport","OurAirports" 602,"Casement Air Base","Casement","Ireland",\N,"EIME",53.301700592,-6.451330184940001,319,0,"E","Europe/Dublin","airport","OurAirports" 603,"Shannon Airport","Shannon","Ireland","SNN","EINN",52.702,-8.92482,46,0,"E","Europe/Dublin","airport","OurAirports" 604,"Sligo Airport","Sligo","Ireland","SXL","EISG",54.280200958252,-8.5992097854614,11,0,"E","Europe/Dublin","airport","OurAirports" 605,"Waterford Airport","Waterford","Ireland","WAT","EIWF",52.187198638916016,-7.0869598388671875,119,0,"E","Europe/Dublin","airport","OurAirports" 607,"Aarhus Airport","Aarhus","Denmark","AAR","EKAH",56.2999992371,10.619000434899998,82,1,"E","Europe/Copenhagen","airport","OurAirports" 608,"Billund Airport","Billund","Denmark","BLL","EKBI",55.7402992249,9.15178012848,247,1,"E","Europe/Copenhagen","airport","OurAirports" 609,"Copenhagen Kastrup Airport","Copenhagen","Denmark","CPH","EKCH",55.617900848389,12.656000137329,17,1,"E","Europe/Copenhagen","airport","OurAirports" 610,"Esbjerg Airport","Esbjerg","Denmark","EBJ","EKEB",55.525902,8.5534,97,1,"E","Europe/Copenhagen","airport","OurAirports" 611,"Grønholt Hillerød Airport","Gronholt","Denmark",\N,"EKGH",55.94139862060547,12.382200241088867,97,1,"E","Europe/Copenhagen","airport","OurAirports" 612,"Karup Airport","Karup","Denmark","KRP","EKKA",56.29750061035156,9.124629974365234,170,1,"E","Europe/Copenhagen","airport","OurAirports" 613,"Læsø Airport","Laeso","Denmark","BYR","EKLS",57.277198791503906,11.000100135803223,25,1,"E","Europe/Copenhagen","airport","OurAirports" 614,"Lolland Falster Maribo Airport","Maribo","Denmark","MRW","EKMB",54.699299,11.4401,16,1,"E","Europe/Copenhagen","airport","OurAirports" 615,"Odense Airport","Odense","Denmark","ODE","EKOD",55.47669982910156,10.330900192260742,56,1,"E","Europe/Copenhagen","airport","OurAirports" 616,"KrusÃ¥-Padborg Airport","Krusa-padborg","Denmark",\N,"EKPB",54.87030029296875,9.279009819030762,88,1,"E","Europe/Copenhagen","airport","OurAirports" 617,"Copenhagen Roskilde Airport","Copenhagen","Denmark","RKE","EKRK",55.585601806640625,12.131400108337402,146,1,"E","Europe/Copenhagen","airport","OurAirports" 618,"Bornholm Airport","Ronne","Denmark","RNN","EKRN",55.06330108642578,14.759599685668945,52,1,"E","Europe/Copenhagen","airport","OurAirports" 619,"Sønderborg Airport","Soenderborg","Denmark","SGD","EKSB",54.96440124511719,9.791729927062988,24,1,"E","Europe/Copenhagen","airport","OurAirports" 621,"Skrydstrup Air Base","Skrydstrup","Denmark","SKS","EKSP",55.221048,9.26702,141,1,"E","Europe/Copenhagen","airport","OurAirports" 622,"Skive Airport","Skive","Denmark","SQW","EKSV",56.550201416015625,9.172980308532715,74,1,"E","Europe/Copenhagen","airport","OurAirports" 623,"Thisted Airport","Thisted","Denmark","TED","EKTS",57.06880187988281,8.705220222473145,23,1,"E","Europe/Copenhagen","airport","OurAirports" 624,"Kolding Vamdrup Airfield","Kolding","Denmark",\N,"EKVD",55.436298,9.33092,143,1,"E","Europe/Copenhagen","airport","OurAirports" 625,"Vagar Airport","Vagar","Faroe Islands","FAE","EKVG",62.0635986328125,-7.277219772338867,280,0,"E","Atlantic/Faeroe","airport","OurAirports" 626,"Vesthimmerlands Flyveplads","Vesthimmerland","Denmark",\N,"EKVH",56.846901,9.45861,119,1,"E","Europe/Copenhagen","airport","OurAirports" 627,"Stauning Airport","Stauning","Denmark","STA","EKVJ",55.9901008605957,8.353910446166992,17,1,"E","Europe/Copenhagen","airport","OurAirports" 628,"Aalborg Airport","Aalborg","Denmark","AAL","EKYT",57.0927589138,9.84924316406,10,1,"E","Europe/Copenhagen","airport","OurAirports" 629,"Luxembourg-Findel International Airport","Luxemburg","Luxembourg","LUX","ELLX",49.6233333,6.2044444,1234,1,"E","Europe/Luxembourg","airport","OurAirports" 630,"Ã…lesund Airport","Alesund","Norway","AES","ENAL",62.5625,6.119699954986572,69,1,"E","Europe/Oslo","airport","OurAirports" 631,"Andøya Airport","Andoya","Norway","ANX","ENAN",69.292503356934,16.144199371338,43,1,"E","Europe/Oslo","airport","OurAirports" 632,"Alta Airport","Alta","Norway","ALF","ENAT",69.976097106934,23.371700286865,9,1,"E","Europe/Oslo","airport","OurAirports" 633,"Bømoen Airport","Voss","Norway",\N,"ENBM",60.63890075683594,6.501500129699707,300,1,"E","Europe/Oslo","airport","OurAirports" 634,"Brønnøysund Airport","Bronnoysund","Norway","BNN","ENBN",65.461097717285,12.217499732971,25,1,"E","Europe/Oslo","airport","OurAirports" 635,"Bodø Airport","Bodo","Norway","BOO","ENBO",67.26920318603516,14.365300178527832,42,1,"E","Europe/Oslo","airport","OurAirports" 636,"Bergen Airport Flesland","Bergen","Norway","BGO","ENBR",60.29339981,5.218140125,170,1,"E","Europe/Oslo","airport","OurAirports" 637,"BÃ¥tsfjord Airport","Batsfjord","Norway","BJF","ENBS",70.60050201416,29.691400527954,490,1,"E","Europe/Oslo","airport","OurAirports" 638,"Kristiansand Airport","Kristiansand","Norway","KRS","ENCN",58.204201,8.08537,57,1,"E","Europe/Oslo","airport","OurAirports" 639,"Geilo Airport Dagali","Geilo","Norway","DLD","ENDI",60.417301177978516,8.518349647521973,2618,1,"E","Europe/Oslo","airport","OurAirports" 640,"Bardufoss Airport","Bardufoss","Norway","BDU","ENDU",69.055801391602,18.540399551392,252,1,"E","Europe/Oslo","airport","OurAirports" 641,"Harstad/Narvik Airport, Evenes","Harstad/Narvik","Norway","EVE","ENEV",68.491302490234,16.678100585938,84,1,"E","Europe/Oslo","airport","OurAirports" 642,"Leirin Airport","Fagernes","Norway","VDB","ENFG",61.015598297119,9.2880601882935,2697,1,"E","Europe/Oslo","airport","OurAirports" 643,"Florø Airport","Floro","Norway","FRO","ENFL",61.583599090576,5.0247201919556,37,1,"E","Europe/Oslo","airport","OurAirports" 644,"Oslo Lufthavn","Oslo","Norway","OSL","ENGM",60.121,11.0502,681,1,"E","Europe/Oslo","airport","OurAirports" 645,"Haugesund Airport","Haugesund","Norway","HAU","ENHD",59.34529876709,5.2083601951599,86,1,"E","Europe/Oslo","airport","OurAirports" 646,"Hasvik Airport","Hasvik","Norway","HAA","ENHK",70.486701965332,22.139699935913,21,1,"E","Europe/Oslo","airport","OurAirports" 647,"Kristiansund Airport (Kvernberget)","Kristiansund","Norway","KSU","ENKB",63.111801147461,7.824520111084,204,1,"E","Europe/Oslo","airport","OurAirports" 648,"Kjeller Airport","Kjeller","Norway",\N,"ENKJ",59.9692993164,11.036100387600001,354,1,"E","Europe/Oslo","airport","OurAirports" 649,"Kirkenes Airport (Høybuktmoen)","Kirkenes","Norway","KKN","ENKR",69.725799560547,29.891300201416,283,1,"E","Europe/Oslo","airport","OurAirports" 650,"Lista Airport","Farsund","Norway","FAN","ENLI",58.0994987487793,6.626049995422363,29,1,"E","Europe/Oslo","airport","OurAirports" 651,"Molde Airport","Molde","Norway","MOL","ENML",62.744701385498,7.2624998092651,10,1,"E","Europe/Oslo","airport","OurAirports" 652,"Mosjøen Airport (Kjærstad)","Mosjoen","Norway","MJF","ENMS",65.783996582031,13.214900016785,237,1,"E","Europe/Oslo","airport","OurAirports" 653,"Banak Airport","Lakselv","Norway","LKL","ENNA",70.068801879883,24.973499298096,25,1,"E","Europe/Oslo","airport","OurAirports" 654,"Notodden Airport","Notodden","Norway","NTB","ENNO",59.565701,9.21222,63,1,"E","Europe/Oslo","airport","OurAirports" 655,"Ørland Airport","Orland","Norway","OLA","ENOL",63.69889831542969,9.604000091552734,28,1,"E","Europe/Oslo","airport","OurAirports" 656,"Røros Airport","Roros","Norway","RRS","ENRO",62.578399658203,11.342300415039,2054,1,"E","Europe/Oslo","airport","OurAirports" 657,"Moss Airport, Rygge","Rygge","Norway","RYG","ENRY",59.378817,10.785439,174,1,"E","Europe/Oslo","airport","OurAirports" 658,"Svalbard Airport, Longyear","Svalbard","Norway","LYR","ENSB",78.246101379395,15.465600013733,88,1,"E","Arctic/Longyearbyen","airport","OurAirports" 659,"Skien Airport","Skien","Norway","SKE","ENSN",59.185001373291016,9.566940307617188,463,1,"E","Europe/Oslo","airport","OurAirports" 660,"Stord Airport","Stord","Norway","SRP","ENSO",59.791900634765625,5.340849876403809,160,1,"E","Europe/Oslo","airport","OurAirports" 662,"Sandnessjøen Airport (Stokka)","Sandnessjoen","Norway","SSJ","ENST",65.956802368164,12.468899726868,56,1,"E","Europe/Oslo","airport","OurAirports" 663,"Tromsø Airport,","Tromso","Norway","TOS","ENTC",69.68329620361328,18.918899536132812,31,1,"E","Europe/Oslo","airport","OurAirports" 664,"Sandefjord Airport, Torp","Sandefjord","Norway","TRF","ENTO",59.1866989136,10.258600235,286,1,"E","Europe/Oslo","airport","OurAirports" 665,"Trondheim Airport Værnes","Trondheim","Norway","TRD","ENVA",63.4578018,10.9239998,56,1,"E","Europe/Oslo","airport","OurAirports" 666,"Stavanger Airport Sola","Stavanger","Norway","SVG","ENZV",58.876701354,5.6377801895,29,1,"E","Europe/Oslo","airport","OurAirports" 667,"Babice Airport","Warsaw","Poland",\N,"EPBC",52.26850128173828,20.910999298095703,352,1,"E","Europe/Warsaw","airport","OurAirports" 668,"GdaÅ„sk Lech WaÅ‚Ä™sa Airport","Gdansk","Poland","GDN","EPGD",54.377601623535156,18.46619987487793,489,1,"E","Europe/Warsaw","airport","OurAirports" 669,"Kraków John Paul II International Airport","Krakow","Poland","KRK","EPKK",50.077702,19.7848,791,1,"E","Europe/Warsaw","airport","OurAirports" 670,"Muchowiec Airport","Katowice","Poland",\N,"EPKM",50.23809814453125,19.03420066833496,909,1,"E","Europe/Warsaw","airport","OurAirports" 671,"Katowice International Airport","Katowice","Poland","KTW","EPKT",50.4743,19.08,995,1,"E","Europe/Warsaw","airport","OurAirports" 673,"Mielec Airport","Mielec","Poland",\N,"EPML",50.32229995727539,21.462099075317383,548,1,"E","Europe/Warsaw","airport","OurAirports" 674,"PoznaÅ„-Åawica Airport","Poznan","Poland","POZ","EPPO",52.421001434299995,16.8262996674,308,1,"E","Europe/Warsaw","airport","OurAirports" 675,"Rzeszów-Jasionka Airport","Rzeszow","Poland","RZE","EPRZ",50.1100006104,22.0189990997,675,1,"E","Europe/Warsaw","airport","OurAirports" 676,"Szczecin-Goleniów ""Solidarność"" Airport","Szczecin","Poland","SZZ","EPSC",53.584701538100006,14.902199745199999,154,1,"E","Europe/Warsaw","airport","OurAirports" 677,"Redzikowo Air Base","Slupsk","Poland","OSP","EPSK",54.47890090942383,17.107500076293945,217,1,"E","Europe/Warsaw","airport","OurAirports" 678,"Swidwin Military Air Base","Shapaja","Poland",\N,"EPSN",53.790599823,15.826299667399999,385,1,"E","Europe/Warsaw","airport","OurAirports" 679,"Warsaw Chopin Airport","Warsaw","Poland","WAW","EPWA",52.1656990051,20.967100143399996,362,1,"E","Europe/Warsaw","airport","OurAirports" 680,"Copernicus WrocÅ‚aw Airport","Wroclaw","Poland","WRO","EPWR",51.1026992798,16.885799408,404,1,"E","Europe/Warsaw","airport","OurAirports" 681,"Zielona Góra-Babimost Airport","Zielona Gora","Poland","IEG","EPZG",52.138500213600004,15.7986001968,194,1,"E","Europe/Warsaw","airport","OurAirports" 682,"Malmen Air Base","Linkoeping","Sweden",\N,"ESCF",58.40230178833008,15.525699615478516,308,1,"E","Europe/Stockholm","airport","OurAirports" 683,"BrÃ¥valla Air Base","Norrkoeping","Sweden",\N,"ESCK",58.61090087890625,16.103599548339844,90,1,"E","Europe/Stockholm","airport","OurAirports" 684,"Uppsala Airport","Uppsala","Sweden",\N,"ESCM",59.897300720214844,17.588600158691406,68,1,"E","Europe/Stockholm","airport","OurAirports" 685,"Ronneby Airport","Ronneby","Sweden","RNB","ESDF",56.266700744629,15.265000343323,191,1,"E","Europe/Stockholm","airport","OurAirports" 686,"RÃ¥da Air Base","Rada","Sweden",\N,"ESFR",58.49810028076172,13.053199768066406,230,1,"E","Europe/Stockholm","airport","OurAirports" 687,"Gothenburg-Landvetter Airport","Gothenborg","Sweden","GOT","ESGG",57.662799835205,12.279800415039,506,1,"E","Europe/Stockholm","airport","OurAirports" 688,"Jönköping Airport","Joenkoeping","Sweden","JKG","ESGJ",57.757598876953125,14.068699836730957,741,1,"E","Europe/Stockholm","airport","OurAirports" 689,"Falköping Airport","Falkoping","Sweden",\N,"ESGK",58.1697998046875,13.587800025939941,785,1,"E","Europe/Stockholm","airport","OurAirports" 690,"Lidköping-Hovby Airport","Lidkoping","Sweden","LDK","ESGL",58.4655,13.1744,200,1,"E","Europe/Stockholm","airport","OurAirports" 691,"Gothenburg City Airport","Gothenborg","Sweden","GSE","ESGP",57.7747,11.8704,59,1,"E","Europe/Stockholm","airport","OurAirports" 692,"Skövde Airport","Skovde","Sweden","KVB","ESGR",58.45640182495117,13.972700119018555,324,1,"E","Europe/Stockholm","airport","OurAirports" 693,"Trollhättan-Vänersborg Airport","Trollhattan","Sweden","THN","ESGT",58.31809997558594,12.345000267028809,137,1,"E","Europe/Stockholm","airport","OurAirports" 694,"Karlsborg Air Base","Karlsborg","Sweden",\N,"ESIA",58.51380157470703,14.507100105285645,308,1,"E","Europe/Stockholm","airport","OurAirports" 695,"SÃ¥tenäs Air Base","Satenas","Sweden",\N,"ESIB",58.42639923095703,12.714400291442871,181,1,"E","Europe/Stockholm","airport","OurAirports" 696,"Barkarby Airport","Stockholm","Sweden",\N,"ESKB",59.4144743644,17.8821372986,50,1,"E","Europe/Stockholm","airport","OurAirports" 697,"Karlskoga Airport","Karlskoga","Sweden","KSK","ESKK",59.34590148925781,14.49590015411377,400,1,"E","Europe/Stockholm","airport","OurAirports" 698,"Mora Airport","Mora","Sweden","MXX","ESKM",60.957901,14.5114,634,1,"E","Europe/Stockholm","airport","OurAirports" 699,"Stockholm Skavsta Airport","Stockholm","Sweden","NYO","ESKN",58.78860092163086,16.912200927734375,140,1,"E","Europe/Stockholm","airport","OurAirports" 700,"Arvika Airport","Arvika","Sweden",\N,"ESKV",59.6759,12.6394,237,1,"E","Europe/Stockholm","airport","OurAirports" 701,"Emmaboda Airfield","Emmaboda","Sweden",\N,"ESMA",56.610802,15.6048,442,1,"E","Europe/Stockholm","airport","OurAirports" 702,"Feringe Airport","Ljungby","Sweden",\N,"ESMG",56.9502983093,13.921699523900001,538,1,"E","Europe/Stockholm","airport","OurAirports" 703,"Kristianstad Airport","Kristianstad","Sweden","KID","ESMK",55.92169952392578,14.08549976348877,76,1,"E","Europe/Stockholm","airport","OurAirports" 704,"Landskrona Airport","Landskrona","Sweden",\N,"ESML",55.94599914550781,12.869999885559082,194,1,"E","Europe/Stockholm","airport","OurAirports" 705,"Oskarshamn Airport","Oskarshamn","Sweden","OSK","ESMO",57.350498,16.497999,96,1,"E","Europe/Stockholm","airport","OurAirports" 706,"Anderstorp Airport","Anderstorp","Sweden",\N,"ESMP",57.264198303222656,13.59939956665039,507,1,"E","Europe/Stockholm","airport","OurAirports" 707,"Kalmar Airport","Kalkmar","Sweden","KLR","ESMQ",56.68550109863281,16.287599563598633,17,1,"E","Europe/Stockholm","airport","OurAirports" 708,"Malmö Sturup Airport","Malmoe","Sweden","MMX","ESMS",55.536305364,13.376197814900001,236,1,"E","Europe/Stockholm","airport","OurAirports" 709,"Halmstad Airport","Halmstad","Sweden","HAD","ESMT",56.69110107421875,12.820199966430664,101,1,"E","Europe/Stockholm","airport","OurAirports" 710,"Hagshult Air Base","Hagshult","Sweden",\N,"ESMV",57.292198,14.1372,556,1,"E","Europe/Stockholm","airport","OurAirports" 711,"Växjö Kronoberg Airport","Vaxjo","Sweden","VXO","ESMX",56.929100036621094,14.727999687194824,610,1,"E","Europe/Stockholm","airport","OurAirports" 712,"Hallviken Airport","Hallviken","Sweden",\N,"ESNA",63.73830032348633,15.45829963684082,1119,1,"E","Europe/Stockholm","airport","OurAirports" 713,"Hedlanda Airport","Hede","Sweden",\N,"ESNC",62.40890121459999,13.747200012199999,1460,1,"E","Europe/Stockholm","airport","OurAirports" 714,"Sveg Airport","Sveg","Sweden","EVG","ESND",62.04779815673828,14.422900199890137,1178,1,"E","Europe/Stockholm","airport","OurAirports" 715,"Gällivare Airport","Gallivare","Sweden","GEV","ESNG",67.13240051269531,20.814599990844727,1027,1,"E","Europe/Stockholm","airport","OurAirports" 716,"Hudiksvall Airport","Hudiksvall","Sweden","HUV","ESNH",61.7681007385,17.0806999207,95,1,"E","Europe/Stockholm","airport","OurAirports" 717,"Jokkmokk Airport","Jokkmokk","Sweden",\N,"ESNJ",66.49620056152344,20.147199630737305,904,1,"E","Europe/Stockholm","airport","OurAirports" 718,"Kramfors SollefteÃ¥ Airport","Kramfors","Sweden","KRF","ESNK",63.04859924316406,17.76889991760254,34,1,"E","Europe/Stockholm","airport","OurAirports" 719,"Lycksele Airport","Lycksele","Sweden","LYC","ESNL",64.54830169677734,18.71619987487793,705,1,"E","Europe/Stockholm","airport","OurAirports" 720,"Optand Airport","Optand","Sweden",\N,"ESNM",63.12860107421875,14.802800178527832,1236,1,"E","Europe/Stockholm","airport","OurAirports" 721,"Sundsvall-Härnösand Airport","Sundsvall","Sweden","SDL","ESNN",62.528099060058594,17.443899154663086,16,1,"E","Europe/Stockholm","airport","OurAirports" 722,"Örnsköldsvik Airport","Ornskoldsvik","Sweden","OER","ESNO",63.40829849243164,18.989999771118164,354,1,"E","Europe/Stockholm","airport","OurAirports" 723,"PiteÃ¥ Airport","Pitea","Sweden",\N,"ESNP",65.39830017089844,21.260799407958984,43,1,"E","Europe/Stockholm","airport","OurAirports" 724,"Kiruna Airport","Kiruna","Sweden","KRN","ESNQ",67.821998596191,20.336799621582,1508,1,"E","Europe/Stockholm","airport","OurAirports" 725,"Orsa Airport","Orsa","Sweden",\N,"ESNR",61.189998626708984,14.712599754333496,683,1,"E","Europe/Stockholm","airport","OurAirports" 726,"SkellefteÃ¥ Airport","Skelleftea","Sweden","SFT","ESNS",64.62480163574219,21.076900482177734,157,1,"E","Europe/Stockholm","airport","OurAirports" 727,"Sättna Airport","Sattna","Sweden",\N,"ESNT",62.4814,17.002899,886,1,"E","Europe/Stockholm","airport","OurAirports" 728,"UmeÃ¥ Airport","Umea","Sweden","UME","ESNU",63.791801452637,20.282800674438,24,1,"E","Europe/Stockholm","airport","OurAirports" 729,"Vilhelmina Airport","Vilhelmina","Sweden","VHM","ESNV",64.5791015625,16.833599090576172,1140,1,"E","Europe/Stockholm","airport","OurAirports" 730,"Arvidsjaur Airport","Arvidsjaur","Sweden","AJR","ESNX",65.59030151367188,19.28190040588379,1245,1,"E","Europe/Stockholm","airport","OurAirports" 731,"Örebro Airport","Orebro","Sweden","ORB","ESOE",59.22370147705078,15.038000106811523,188,1,"E","Europe/Stockholm","airport","OurAirports" 733,"Stockholm VästerÃ¥s Airport","Vasteras","Sweden","VST","ESOW",59.58940124511719,16.63360023498535,21,1,"E","Europe/Stockholm","airport","OurAirports" 734,"LuleÃ¥ Airport","Lulea","Sweden","LLA","ESPA",65.543800354004,22.121999740601,65,1,"E","Europe/Stockholm","airport","OurAirports" 735,"Vidsel Air Base","Vidsel","Sweden",\N,"ESPE",65.87529754638672,20.149900436401367,597,1,"E","Europe/Stockholm","airport","OurAirports" 736,"Arboga Airport","Arboga","Sweden",\N,"ESQO",59.386600494384766,15.924099922180176,33,1,"E","Europe/Stockholm","airport","OurAirports" 737,"Stockholm-Arlanda Airport","Stockholm","Sweden","ARN","ESSA",59.651901245117,17.918600082397,137,1,"E","Europe/Stockholm","airport","OurAirports" 738,"Stockholm-Bromma Airport","Stockholm","Sweden","BMA","ESSB",59.354400634765625,17.941699981689453,47,1,"E","Europe/Stockholm","airport","OurAirports" 739,"Borlange Airport","Borlange","Sweden","BLE","ESSD",60.422000885009766,15.515199661254883,503,1,"E","Europe/Stockholm","airport","OurAirports" 740,"Hultsfred Airport","Hultsfred","Sweden","HLF","ESSF",57.525799,15.8233,366,1,"E","Europe/Stockholm","airport","OurAirports" 741,"Gävle Sandviken Airport","Gavle","Sweden","GVX","ESSK",60.593299865722656,16.951400756835938,224,1,"E","Europe/Stockholm","airport","OurAirports" 742,"Linköping City Airport","Linkoeping","Sweden","LPI","ESSL",58.4062004089,15.680500030500001,172,1,"E","Europe/Stockholm","airport","OurAirports" 743,"Norrköping Airport","Norrkoeping","Sweden","NRK","ESSP",58.586299896240234,16.250600814819336,32,1,"E","Europe/Stockholm","airport","OurAirports" 745,"Eskilstuna Airport","Eskilstuna","Sweden","EKT","ESSU",59.35110092163086,16.70840072631836,139,1,"E","Europe/Stockholm","airport","OurAirports" 746,"Visby Airport","Visby","Sweden","VBY","ESSV",57.662799835205,18.346200942993,164,1,"E","Europe/Stockholm","airport","OurAirports" 748,"Kalixfors Airport","Kalixfors","Sweden",\N,"ESUK",67.76480102539062,20.257200241088867,1549,1,"E","Europe/Stockholm","airport","OurAirports" 750,"Spangdahlem Air Base","Spangdahlem","Germany","SPM","ETAD",49.9726982117,6.69250011444,1197,1,"E","Europe/Berlin","airport","OurAirports" 751,"Ramstein Air Base","Ramstein","Germany","RMS","ETAR",49.4369010925293,7.600279808044434,776,1,"E","Europe/Berlin","airport","OurAirports" 753,"[Duplicate] Giebelstadt Army Air Field","Giebelstadt","Germany","GHF","ETEU",49.648101806599996,9.966489791870002,980,1,"E","Europe/Berlin","airport","OurAirports" 754,"Bückeburg Air Base","Brueckeburg","Germany",\N,"ETHB",52.2785,9.08217,230,1,"E","Europe/Berlin","airport","OurAirports" 755,"Celle Airport","Celle","Germany","ZCN","ETHC",52.59120178222656,10.022100448608398,129,1,"E","Europe/Berlin","airport","OurAirports" 756,"Rheine Bentlage Air Base","Rheine-brentlange","Germany",\N,"ETHE",52.291199,7.387,129,1,"E","Europe/Berlin","airport","OurAirports" 757,"Fritzlar Airport","Fritzlar","Germany","FRZ","ETHF",51.1146,9.286,1345,1,"E","Europe/Berlin","airport","OurAirports" 758,"Laupheim Air Base","Laupheim","Germany",\N,"ETHL",48.220299,9.91002,1766,1,"E","Europe/Berlin","airport","OurAirports" 759,"Mendig Airfield","Mendig","Germany",\N,"ETHM",50.366001,7.31533,597,1,"E","Europe/Berlin","airport","OurAirports" 760,"Niederstetten Army Air Base","Niederstetten","Germany",\N,"ETHN",49.391945,9.958889,1339,1,"E","Europe/Berlin","airport","OurAirports" 761,"Roth Airport","Roth","Germany",\N,"ETHR",49.217498779296875,11.100199699401855,1268,1,"E","Europe/Berlin","airport","OurAirports" 762,"Fassberg Air Base","Fassberg","Germany",\N,"ETHS",52.919399,10.185827,245,1,"E","Europe/Berlin","airport","OurAirports" 763,"Grafenwohr Army Air Field","Grafenwoehr","Germany",\N,"ETIC",49.698699951171875,11.940199851989746,1363,1,"E","Europe/Berlin","airport","OurAirports" 764,"Hanau Army Air Field","Hanau","Germany","ZNF","ETID",50.169201,8.96159,368,1,"E","Europe/Berlin","airport","OurAirports" 765,"Hohenfels Army Air Field","Hohenfels","Germany",\N,"ETIH",49.218101501464844,11.836099624633789,1455,1,"E","Europe/Berlin","airport","OurAirports" 766,"Flugplatz Kitzingen","Kitzingen","Germany","KZG","ETIN",49.743099,10.2006,689,1,"E","Europe/Berlin","airport","OurAirports" 767,"Nordholz Naval Airbase","Nordholz","Germany","FCN","ETMN",53.7677001953,8.658499717709999,74,1,"E","Europe/Berlin","airport","OurAirports" 768,"Diepholz Air Base","Diepholz","Germany",\N,"ETND",52.585556,8.342222,128,1,"E","Europe/Berlin","airport","OurAirports" 769,"Geilenkirchen Air Base","Geilenkirchen","Germany","GKE","ETNG",50.9608,6.04242,296,1,"E","Europe/Berlin","airport","OurAirports" 770,"Hohn Air Base","Hohn","Germany",\N,"ETNH",54.312199,9.53817,39,1,"E","Europe/Berlin","airport","OurAirports" 771,"Jever Air Base","Jever","Germany",\N,"ETNJ",53.533501,7.88867,24,1,"E","Europe/Berlin","airport","OurAirports" 772,"Rostock-Laage Airport","Laage","Germany","RLG","ETNL",53.9182014465,12.278300285299999,138,1,"E","Europe/Berlin","airport","OurAirports" 773,"Nörvenich Air Base","Noervenich","Germany",\N,"ETNN",50.8312,6.65817,386,1,"E","Europe/Berlin","airport","OurAirports" 774,"Schleswig Air Base","Schleswig","Germany","WBG","ETNS",54.459301,9.51633,70,1,"E","Europe/Berlin","airport","OurAirports" 775,"Wittmundhafen Airport","Wittmundhafen","Germany",\N,"ETNT",53.54779815673828,7.667329788208008,26,1,"E","Europe/Berlin","airport","OurAirports" 777,"Wunstorf Air Base","Wunstorf","Germany",\N,"ETNW",52.457298,9.42717,187,1,"E","Europe/Berlin","airport","OurAirports" 778,"Vilseck Army Air Field","Vilseck","Germany",\N,"ETOI",49.63359832763672,11.767200469970703,1353,1,"E","Europe/Berlin","airport","OurAirports" 779,"Coleman Army Air Field","Coleman","Germany",\N,"ETOR",49.5635986328125,8.463390350341797,309,1,"E","Europe/Berlin","airport","OurAirports" 780,"Wiesbaden Army Airfield","Wiesbaden","Germany","WIE","ETOU",50.049800872802734,8.325400352478027,461,1,"E","Europe/Berlin","airport","OurAirports" 781,"Landsberg Lech Air Base","Landsberg","Germany",\N,"ETSA",48.070599,10.906,2044,1,"E","Europe/Berlin","airport","OurAirports" 782,"Büchel Air Base","Buechel","Germany",\N,"ETSB",50.1738014221,7.06333017349,1568,1,"E","Europe/Berlin","airport","OurAirports" 783,"Erding Airport","Erding","Germany",\N,"ETSE",48.32229995727539,11.948699951171875,1515,1,"E","Europe/Berlin","airport","OurAirports" 784,"Fürstenfeldbruck Air Base","Fuerstenfeldbruck","Germany","FEL","ETSF",48.205555,11.266944,1703,1,"E","Europe/Berlin","airport","OurAirports" 785,"Holzdorf Air Base","Holzdorf","Germany",\N,"ETSH",51.767799,13.1677,265,1,"E","Europe/Berlin","airport","OurAirports" 786,"Ingolstadt Manching Airport","Ingolstadt","Germany","IGS","ETSI",48.7156982421875,11.534000396728516,1202,1,"E","Europe/Berlin","airport","OurAirports" 787,"Lechfeld Air Base","Lechfeld","Germany",\N,"ETSL",48.185504,10.8612,1822,1,"E","Europe/Berlin","airport","OurAirports" 788,"Neuburg AFB","Neuburg","Germany",\N,"ETSN",48.710999,11.2115,1249,1,"E","Europe/Berlin","airport","OurAirports" 789,"Gütersloh Air Base","Guetersloh","Germany","GUT","ETUO",51.922798,8.30633,236,1,"E","Europe/Berlin","airport","OurAirports" 790,"Alexander Bay Airport","Alexander Bay","South Africa","ALJ","FAAB",-28.575001,16.5333,98,2,"U","Africa/Johannesburg","airport","OurAirports" 791,"Aggeneys Airport","Aggeneys","South Africa","AGZ","FAAG",-29.28179931640625,18.813899993896484,2648,2,"U","Africa/Johannesburg","airport","OurAirports" 792,"Brakpan Airport","Brakpan","South Africa",\N,"FABB",-26.23859977722168,28.301799774169922,5300,2,"U","Africa/Johannesburg","airport","OurAirports" 793,"Bisho Airport","Bisho","South Africa","BIY","FABE",-32.8970985413,27.279100418099997,1950,2,"U","Africa/Johannesburg","airport","OurAirports" 794,"Bram Fischer International Airport","Bloemfontein","South Africa","BFN","FABL",-29.092699050900002,26.302400589,4458,2,"U","Africa/Johannesburg","airport","OurAirports" 795,"Bethlehem Airport","Bethlehem","South Africa",\N,"FABM",-28.2483997345,28.3360996246,5561,2,"U","Africa/Johannesburg","airport","OurAirports" 796,"Hendrik Potgieter Airport","Bothaville","South Africa",\N,"FABO",-27.36680030822754,26.629199981689453,4236,2,"U","Africa/Johannesburg","airport","OurAirports" 797,"Cape Town International Airport","Cape Town","South Africa","CPT","FACT",-33.9648017883,18.6016998291,151,2,"U","Africa/Johannesburg","airport","OurAirports" 798,"Calvinia Airport","Calvinia","South Africa",\N,"FACV",-31.50029945373535,19.725900650024414,3250,2,"U","Africa/Johannesburg","airport","OurAirports" 799,"King Shaka International Airport","Durban","South Africa","DUR","FALE",-29.6144444444,31.1197222222,295,2,"U","Africa/Johannesburg","airport","OurAirports" 800,"Ben Schoeman Airport","East London","South Africa","ELS","FAEL",-33.0355987549,27.825899124099998,435,2,"U","Africa/Johannesburg","airport","OurAirports" 801,"Ermelo Airport","Ermelo","South Africa",\N,"FAEO",-26.4955997467041,29.979799270629883,5700,2,"U","Africa/Johannesburg","airport","OurAirports" 802,"Ficksburg Sentraoes Airport","Ficksburg","South Africa","FCB","FAFB",-28.82309913635254,27.908899307250977,5315,2,"U","Africa/Johannesburg","airport","OurAirports" 803,"Grand Central Airport","Johannesburg","South Africa","GCJ","FAGC",-25.986299514799995,28.1401004791,5325,2,"U","Africa/Johannesburg","airport","OurAirports" 804,"George Airport","George","South Africa","GRJ","FAGG",-34.0056,22.378902,648,2,"U","Africa/Johannesburg","airport","OurAirports" 806,"Graaff Reinet Airport","Graaff Reinet","South Africa",\N,"FAGR",-32.193599700927734,24.541400909423828,2604,2,"U","Africa/Johannesburg","airport","OurAirports" 807,"Grahamstown Airport","Grahamstown","South Africa",\N,"FAGT",-33.284698486328125,26.49810028076172,2135,2,"U","Africa/Johannesburg","airport","OurAirports" 808,"Greytown Airport","Greytown","South Africa",\N,"FAGY",-29.1219997406,30.586700439499996,3531,2,"U","Africa/Johannesburg","airport","OurAirports" 809,"Harmony Airport","Harmony","South Africa",\N,"FAHA",-28.078699111938477,26.8612003326416,4399,2,"U","Africa/Johannesburg","airport","OurAirports" 810,"Harrismith Airport","Harrismith","South Africa","HRS","FAHR",-28.23509979248047,29.106199264526367,5585,2,"U","Africa/Johannesburg","airport","OurAirports" 811,"Hoedspruit Air Force Base Airport","Hoedspruit","South Africa","HDS","FAHS",-24.368600845299998,31.0487003326,1743,2,"U","Africa/Johannesburg","airport","OurAirports" 812,"Gariep Dam Airport","Hendrik Verwoerddam","South Africa",\N,"FAHV",-30.56220054626465,25.52829933166504,4176,2,"U","Africa/Johannesburg","airport","OurAirports" 813,"OR Tambo International Airport","Johannesburg","South Africa","JNB","FAOR",-26.1392,28.246,5558,2,"U","Africa/Johannesburg","airport","OurAirports" 814,"P C Pelser Airport","Klerksdorp","South Africa","KXE","FAKD",-26.8710994720459,26.718000411987305,4444,2,"U","Africa/Johannesburg","airport","OurAirports" 815,"Kimberley Airport","Kimberley","South Africa","KIM","FAKM",-28.802799224900003,24.7651996613,3950,2,"U","Africa/Johannesburg","airport","OurAirports" 816,"Krugersdorp Airport","Krugersdorp","South Africa",\N,"FAKR",-26.0808259199,27.7259149551,5499,2,"U","Africa/Johannesburg","airport","OurAirports" 817,"Kroonstad Airport","Kroonstad","South Africa",\N,"FAKS",-27.660600662231445,27.315799713134766,4700,2,"U","Africa/Johannesburg","airport","OurAirports" 818,"Johan Pienaar Airport","Kuruman","South Africa","KMH","FAKU",-27.45669937133789,23.411399841308594,4382,2,"U","Africa/Johannesburg","airport","OurAirports" 819,"Kleinsee Airport","Kleinsee","South Africa","KLZ","FAKZ",-29.6884002686,17.093999862700002,270,2,"U","Africa/Johannesburg","airport","OurAirports" 820,"Lanseria Airport","Johannesburg","South Africa","HLA","FALA",-25.938499450699997,27.9260997772,4517,2,"U","Africa/Johannesburg","airport","OurAirports" 821,"Lichtenburg Airport","Lichtenburg","South Africa",\N,"FALI",-26.17569923400879,26.184600830078125,4875,2,"U","Africa/Johannesburg","airport","OurAirports" 822,"Makhado Air Force Base Airport","Lambertsbaai","South Africa",\N,"FALM",-23.159900665283203,29.696500778198242,3069,2,"U","Africa/Johannesburg","airport","OurAirports" 823,"Langebaanweg Airport","Langebaanweg","South Africa","SDB","FALW",-32.968898773199996,18.1602993011,108,2,"U","Africa/Johannesburg","airport","OurAirports" 824,"Ladysmith Airport","Ladysmith","South Africa","LAY","FALY",-28.5816993713,29.749700546299998,3548,2,"U","Africa/Johannesburg","airport","OurAirports" 825,"Middelburg Airport","Middelburg","South Africa",\N,"FAMB",-25.684799194335938,29.440200805664062,4886,2,"U","Africa/Johannesburg","airport","OurAirports" 827,"Margate Airport","Margate","South Africa","MGH","FAMG",-30.8574008942,30.343000412,495,2,"U","Africa/Johannesburg","airport","OurAirports" 828,"Marble Hall Airport","Marble Hall","South Africa",\N,"FAMI",-24.989099502563477,29.283100128173828,2980,2,"U","Africa/Johannesburg","airport","OurAirports" 829,"Majuba Power Station Airport","Majuba Power Station","South Africa",\N,"FAMJ",-27.079299926799997,29.7784996033,5600,2,"U","Africa/Johannesburg","airport","OurAirports" 831,"Riverside Airport","Malalane","South Africa","LLE","FAMN",-25.4300003052,31.5767002106,1024,2,"U","Africa/Johannesburg","airport","OurAirports" 832,"Morningside Farm Airport","Musina","South Africa",\N,"FAMS",-25.7045001984,26.9090003967,4251,2,"U","Africa/Johannesburg","airport","OurAirports" 833,"Mkuze Airport","Mkuze","South Africa","MZQ","FAMU",-27.626100540161133,32.0443000793457,400,2,"U","Africa/Johannesburg","airport","OurAirports" 834,"Newcastle Airport","Newcastle","South Africa","NCS","FANC",-27.7705993652,29.976900100699996,4074,2,"U","Africa/Johannesburg","airport","OurAirports" 835,"Nylstroom Airfield","Nylstroom","South Africa",\N,"FANY",-24.686100006103516,28.434900283813477,3900,2,"U","Africa/Johannesburg","airport","OurAirports" 836,"Overberg Airport","Overberg","South Africa","OVG","FAOB",-34.554901123,20.250699996900003,52,2,"U","Africa/Johannesburg","airport","OurAirports" 837,"Oudtshoorn Airport","Oudtshoorn","South Africa","OUH","FAOH",-33.6069984436,22.188999176,1063,2,"U","Africa/Johannesburg","airport","OurAirports" 838,"Port Elizabeth Airport","Port Elizabeth","South Africa","PLZ","FAPE",-33.9849014282,25.6173000336,226,2,"U","Africa/Johannesburg","airport","OurAirports" 839,"Plettenberg Bay Airport","Plettenberg Bay","South Africa","PBZ","FAPG",-34.0881601675,23.3287234306,465,2,"U","Africa/Johannesburg","airport","OurAirports" 840,"Hendrik Van Eck Airport","Phalaborwa","South Africa","PHW","FAPH",-23.937200546299998,31.1553993225,1432,2,"U","Africa/Johannesburg","airport","OurAirports" 841,"Pietersburg Municipal Airport","Polokwane","South Africa",\N,"FAPI",-23.9260997772,29.4843997955,4354,2,"U","Africa/Johannesburg","airport","OurAirports" 842,"Port St Johns Airport","Port Saint Johns","South Africa","JOH","FAPJ",-31.605899810791016,29.519800186157227,1227,2,"U","Africa/Johannesburg","airport","OurAirports" 843,"Pietermaritzburg Airport","Pietermaritzburg","South Africa","PZB","FAPM",-29.649000167799997,30.3987007141,2423,2,"U","Africa/Johannesburg","airport","OurAirports" 844,"Pilanesberg International Airport","Pilanesberg","South Africa","NTY","FAPN",-25.333799362199997,27.173400878900004,3412,2,"U","Africa/Johannesburg","airport","OurAirports" 845,"Polokwane International Airport","Potgietersrus","South Africa","PTG","FAPP",-23.845269,29.458615,4076,2,"U","Africa/Johannesburg","airport","OurAirports" 846,"Potchefstroom Airport","Potchefstroom","South Africa","PCF","FAPS",-26.670999527,27.0818996429,4520,2,"U","Africa/Johannesburg","airport","OurAirports" 847,"Parys Airport","Parys","South Africa",\N,"FAPY",-26.889299392700195,27.503400802612305,4740,2,"U","Africa/Johannesburg","airport","OurAirports" 848,"Queenstown Airport","Queenstown","South Africa","UTW","FAQT",-31.92020034790039,26.882200241088867,3637,2,"U","Africa/Johannesburg","airport","OurAirports" 849,"Richards Bay Airport","Richard's Bay","South Africa","RCB","FARB",-28.740999221800003,32.0920982361,109,2,"U","Africa/Johannesburg","airport","OurAirports" 850,"Rustenburg Airport","Rustenburg","South Africa",\N,"FARG",-25.6443004608,27.271099090599996,3700,2,"U","Africa/Johannesburg","airport","OurAirports" 851,"Robertson Airport","Robertson","South Africa","ROD","FARS",-33.812198638916016,19.902799606323242,640,2,"U","Africa/Johannesburg","airport","OurAirports" 852,"Springbok Airport","Springbok","South Africa","SBU","FASB",-29.689300537109375,17.939599990844727,2690,2,"U","Africa/Johannesburg","airport","OurAirports" 853,"Secunda Airport","Secunda","South Africa","ZEC","FASC",-26.52409935,29.170099258399997,5250,2,"U","Africa/Johannesburg","airport","OurAirports" 854,"Saldanha /Vredenburg Airport","Saldanha","South Africa",\N,"FASD",-32.964099884,17.9692993164,50,2,"U","Africa/Johannesburg","airport","OurAirports" 855,"Springs Airfield","Springs","South Africa",\N,"FASI",-26.2494004736,28.3982715607,5340,2,"U","Africa/Johannesburg","airport","OurAirports" 856,"Swartkop Air Force Base","Swartkop","South Africa",\N,"FASK",-25.8097000122,28.164600372299997,4780,2,"U","Africa/Johannesburg","airport","OurAirports" 857,"Sishen Airport","Sishen","South Africa","SIS","FASS",-27.6485996246,22.9993000031,3848,2,"U","Africa/Johannesburg","airport","OurAirports" 858,"Hendrik Swellengrebel Airport","Swellendam","South Africa",\N,"FASX",-34.04819869995117,20.474599838256836,407,2,"U","Africa/Johannesburg","airport","OurAirports" 859,"Skukuza Airport","Skukuza","South Africa","SZK","FASZ",-24.960899353,31.5886993408,1020,2,"U","Africa/Johannesburg","airport","OurAirports" 860,"Tommys Field Airport","Tommy's Field","South Africa",\N,"FATF",-28.260000228881836,22.993200302124023,4360,2,"U","Africa/Johannesburg","airport","OurAirports" 861,"New Tempe Airport","Bloemfontein","South Africa",\N,"FATP",-29.032899856567383,26.15760040283203,4547,2,"U","Africa/Johannesburg","airport","OurAirports" 862,"Tutuka Power Station Airport","Tutuka","South Africa",\N,"FATT",-26.776599884,29.3388004303,5313,2,"U","Africa/Johannesburg","airport","OurAirports" 863,"Tzaneen Airport","Tzaneen","South Africa","LTA","FATZ",-23.8243999481,30.329299926799997,1914,2,"U","Africa/Johannesburg","airport","OurAirports" 864,"Prince Mangosuthu Buthelezi Airport","Ulundi","South Africa","ULD","FAUL",-28.3206005096,31.4165000916,1720,2,"U","Africa/Johannesburg","airport","OurAirports" 865,"Pierre Van Ryneveld Airport","Upington","South Africa","UTN","FAUP",-28.39909935,21.260200500499998,2782,2,"U","Africa/Johannesburg","airport","OurAirports" 866,"K. D. Matanzima Airport","Umtata","South Africa","UTT","FAUT",-31.546363184900002,28.6733551025,2400,2,"U","Africa/Johannesburg","airport","OurAirports" 867,"Vryburg Airport","Vryburg","South Africa","VRU","FAVB",-26.9824008942,24.7287998199,3920,2,"U","Africa/Johannesburg","airport","OurAirports" 868,"Virginia Airport","Durban","South Africa","VIR","FAVG",-29.770599365234375,31.058399200439453,20,2,"U","Africa/Johannesburg","airport","OurAirports" 869,"Vredendal Airport","Vredendal","South Africa","VRE","FAVR",-31.641000747680664,18.5447998046875,330,2,"U","Africa/Johannesburg","airport","OurAirports" 870,"Vereeniging Airport","Vereeniging","South Africa",\N,"FAVV",-26.566400528,27.9608001709,4846,2,"U","Africa/Johannesburg","airport","OurAirports" 871,"Wonderboom Airport","Pretoria","South Africa","PRY","FAWB",-25.6539,28.224199,4095,2,"U","Africa/Johannesburg","airport","OurAirports" 872,"Witbank Airport","Witbank","South Africa",\N,"FAWI",-25.832300186199998,29.1919994354,5078,2,"U","Africa/Johannesburg","airport","OurAirports" 873,"Waterkloof Air Force Base","Waterkloof","South Africa","WKF","FAWK",-25.829999923699997,28.222499847399998,4940,2,"U","Africa/Johannesburg","airport","OurAirports" 874,"Welkom Airport","Welkom","South Africa",\N,"FAWM",-27.996824511099998,26.663333892799997,4421,2,"U","Africa/Johannesburg","airport","OurAirports" 875,"Ysterplaat Air Force Base","Ysterplaat","South Africa",\N,"FAYP",-33.90019989013672,18.498300552368164,52,2,"U","Africa/Johannesburg","airport","OurAirports" 876,"Zeerust Airport","Zeerust","South Africa",\N,"FAZR",-25.599000930786133,26.042299270629883,4258,2,"U","Africa/Johannesburg","airport","OurAirports" 877,"Francistown Airport","Francistown","Botswana","FRW","FBFT",-21.15959930419922,27.47450065612793,3283,2,"U","Africa/Gaborone","airport","OurAirports" 878,"Jwaneng Airport","Jwaneng","Botswana","JWA","FBJW",-24.6023006439209,24.69099998474121,3900,2,"U","Africa/Gaborone","airport","OurAirports" 879,"Kasane Airport","Kasane","Botswana","BBK","FBKE",-17.83289909362793,25.162399291992188,3289,2,"U","Africa/Gaborone","airport","OurAirports" 880,"Maun Airport","Maun","Botswana","MUB","FBMN",-19.97260093688965,23.431100845336914,3093,2,"U","Africa/Gaborone","airport","OurAirports" 881,"Sir Seretse Khama International Airport","Gaberone","Botswana","GBE","FBSK",-24.555201,25.9182,3299,2,"U","Africa/Gaborone","airport","OurAirports" 882,"Selebi Phikwe Airport","Selebi-phikwe","Botswana","PKW","FBSP",-22.0583,27.8288,2925,2,"U","Africa/Gaborone","airport","OurAirports" 883,"Maya-Maya Airport","Brazzaville","Congo (Brazzaville)","BZV","FCBB",-4.251699924468994,15.253000259399414,1048,1,"N","Africa/Brazzaville","airport","OurAirports" 884,"Owando Airport","Owando","Congo (Kinshasa)","FTX","FCOO",-0.5313500165939331,15.95009994506836,1214,1,"N","Africa/Brazzaville","airport","OurAirports" 885,"Ouesso Airport","Ouesso","Congo (Kinshasa)","OUE","FCOU",1.6159900426899998,16.0379009247,1158,1,"N","Africa/Brazzaville","airport","OurAirports" 886,"Pointe Noire Airport","Pointe-noire","Congo (Brazzaville)","PNR","FCPP",-4.816030025482178,11.88659954071045,55,1,"N","Africa/Brazzaville","airport","OurAirports" 887,"Matsapha Airport","Manzini","Swaziland","MTS","FDMS",-26.52899932861328,31.3075008392334,2075,2,"U","Africa/Mbabane","airport","OurAirports" 888,"Bangui M'Poko International Airport","Bangui","Central African Republic","BGF","FEFF",4.39847993850708,18.518800735473633,1208,1,"N","Africa/Bangui","airport","OurAirports" 889,"Berbérati Airport","Berberati","Central African Republic","BBT","FEFT",4.2215800285339355,15.786399841308594,1929,1,"N","Africa/Bangui","airport","OurAirports" 890,"Bata Airport","Bata","Equatorial Guinea","BSG","FGBT",1.9054700136184692,9.805680274963379,13,1,"N","Africa/Malabo","airport","OurAirports" 891,"Malabo Airport","Malabo","Equatorial Guinea","SSG","FGSL",3.755270004272461,8.708720207214355,76,1,"N","Africa/Malabo","airport","OurAirports" 892,"RAF Ascension Island","Wide Awake","Saint Helena","ASI","FHAW",-7.9696,-14.3937,278,0,"N","Atlantic/St_Helena","airport","OurAirports" 893,"Sir Seewoosagur Ramgoolam International Airport","Plaisance","Mauritius","MRU","FIMP",-20.430201,57.683601,186,4,"N","Indian/Mauritius","airport","OurAirports" 894,"Sir Charles Gaetan Duval Airport","Rodriguez Island","Mauritius","RRG","FIMR",-19.7577,63.361,95,4,"N","Indian/Mauritius","airport","OurAirports" 895,"Diego Garcia Naval Support Facility","Diego Garcia Island","British Indian Ocean Territory","NKW","FJDG",-7.31327,72.411102,9,6,"U","Indian/Chagos","airport","OurAirports" 896,"Tiko Airport","Tiko","Cameroon","TKC","FKKC",4.08919000626,9.360529899600001,151,1,"N","Africa/Douala","airport","OurAirports" 897,"Douala International Airport","Douala","Cameroon","DLA","FKKD",4.0060801506,9.719479560849999,33,1,"N","Africa/Douala","airport","OurAirports" 898,"Salak Airport","Maroua","Cameroon","MVR","FKKL",10.451399803161621,14.257399559020996,1390,1,"N","Africa/Douala","airport","OurAirports" 899,"Foumban Nkounja Airport","Foumban","Cameroon","FOM","FKKM",5.636919975280762,10.750800132751465,3963,1,"N","Africa/Douala","airport","OurAirports" 900,"N'Gaoundéré Airport","N'gaoundere","Cameroon","NGE","FKKN",7.3570098876953125,13.559200286865234,3655,1,"N","Africa/Douala","airport","OurAirports" 901,"Garoua International Airport","Garoua","Cameroon","GOU","FKKR",9.33588981628418,13.370100021362305,794,1,"N","Africa/Douala","airport","OurAirports" 902,"Bafoussam Airport","Bafoussam","Cameroon","BFX","FKKU",5.536920070650001,10.354599952700001,4347,1,"N","Africa/Douala","airport","OurAirports" 903,"Bamenda Airport","Bamenda","Cameroon","BPC","FKKV",6.039239883422852,10.122599601745605,4065,1,"N","Africa/Douala","airport","OurAirports" 904,"Yaoundé Airport","Yaounde","Cameroon","YAO","FKKY",3.8360400199890137,11.523500442504883,2464,1,"N","Africa/Douala","airport","OurAirports" 905,"Kasompe Airport","Kasompe","Zambia","CGJ","FLKE",-12.572799682617,27.893899917603,4636,2,"U","Africa/Lusaka","airport","OurAirports" 906,"Livingstone Airport","Livingstone","Zambia","LVI","FLLI",-17.821800231933594,25.82270050048828,3302,2,"U","Africa/Lusaka","airport","OurAirports" 907,"Kenneth Kaunda International Airport Lusaka","Lusaka","Zambia","LUN","FLLS",-15.3308000565,28.4526004791,3779,2,"U","Africa/Lusaka","airport","OurAirports" 908,"Mfuwe Airport","Mfuwe","Zambia","MFU","FLMF",-13.258899688720703,31.936599731445312,1853,2,"U","Africa/Lusaka","airport","OurAirports" 909,"Mongu Airport","Mongu","Zambia","MNR","FLMG",-15.254500389099121,23.16230010986328,3488,2,"U","Africa/Lusaka","airport","OurAirports" 910,"Simon Mwansa Kapwepwe International Airport","Ndola","Zambia","NLA","FLND",-12.998100280762,28.66489982605,4167,2,"U","Africa/Lusaka","airport","OurAirports" 911,"Southdowns Airport","Southdowns","Zambia","KIW","FLSO",-12.900500297546387,28.149900436401367,4145,2,"U","Africa/Lusaka","airport","OurAirports" 912,"Prince Said Ibrahim International Airport","Moroni","Comoros","HAH","FMCH",-11.5337,43.2719,93,3,"U","Indian/Comoro","airport","OurAirports" 913,"Mohéli Bandar Es Eslam Airport","Moheli","Comoros","NWA","FMCI",-12.298100471496582,43.76639938354492,46,3,"U","Indian/Comoro","airport","OurAirports" 914,"Ouani Airport","Anjouan","Comoros","AJN","FMCV",-12.131699562072754,44.430301666259766,62,3,"U","Indian/Comoro","airport","OurAirports" 915,"Dzaoudzi Pamandzi International Airport","Dzaoudzi","Mayotte","DZA","FMCZ",-12.804699897766113,45.28110122680664,23,3,"U","Indian/Mayotte","airport","OurAirports" 916,"Roland Garros Airport","St.-denis","Reunion","RUN","FMEE",-20.887100219726562,55.51029968261719,66,4,"U","Indian/Reunion","airport","OurAirports" 917,"Pierrefonds Airport","St.-pierre","Reunion","ZSE","FMEP",-21.320899963378906,55.42499923706055,59,4,"U","Indian/Reunion","airport","OurAirports" 918,"Ivato Airport","Antananarivo","Madagascar","TNR","FMMI",-18.7969,47.478802,4198,3,"U","Indian/Antananarivo","airport","OurAirports" 919,"Miandrivazo Airport","Miandrivazo","Madagascar","ZVA","FMMN",-19.56279945373535,45.450801849365234,203,3,"U","Indian/Antananarivo","airport","OurAirports" 920,"Sainte Marie Airport","Sainte Marie","Madagascar","SMS","FMMS",-17.093900680541992,49.815799713134766,7,3,"U","Indian/Antananarivo","airport","OurAirports" 921,"Toamasina Airport","Toamasina","Madagascar","TMM","FMMT",-18.109500885009766,49.39250183105469,22,3,"U","Indian/Antananarivo","airport","OurAirports" 922,"Morondava Airport","Morondava","Madagascar","MOQ","FMMV",-20.284700393676758,44.31760025024414,30,3,"U","Indian/Antananarivo","airport","OurAirports" 923,"Arrachart Airport","Antsiranana","Madagascar","DIE","FMNA",-12.34939956665039,49.29169845581055,374,3,"U","Indian/Antananarivo","airport","OurAirports" 924,"Mananara Nord Airport","Mananara","Madagascar","WMR","FMNC",-16.16390037536621,49.773799896240234,9,3,"U","Indian/Antananarivo","airport","OurAirports" 925,"Andapa Airport","Andapa","Madagascar","ZWA","FMND",-14.651700019836426,49.620601654052734,1552,3,"U","Indian/Antananarivo","airport","OurAirports" 926,"Ambilobe Airport","Ambilobe","Madagascar","AMB","FMNE",-13.188400268554688,48.987998962402344,72,3,"U","Indian/Antananarivo","airport","OurAirports" 927,"Antsirabato Airport","Antalaha","Madagascar","ANM","FMNH",-14.99940013885498,50.3202018737793,20,3,"U","Indian/Antananarivo","airport","OurAirports" 928,"Analalava Airport","Analalava","Madagascar","HVA","FMNL",-14.62969970703125,47.76380157470703,345,3,"U","Indian/Antananarivo","airport","OurAirports" 929,"Amborovy Airport","Mahajanga","Madagascar","MJN","FMNM",-15.6668417421,46.351232528699995,87,3,"U","Indian/Antananarivo","airport","OurAirports" 930,"Fascene Airport","Nosy-be","Madagascar","NOS","FMNN",-13.3121004105,48.3148002625,36,3,"U","Indian/Antananarivo","airport","OurAirports" 931,"Besalampy Airport","Besalampy","Madagascar","BPY","FMNQ",-16.744530296500002,44.4824838638,125,3,"U","Indian/Antananarivo","airport","OurAirports" 932,"Maroantsetra Airport","Maroantsetra","Madagascar","WMN","FMNR",-15.436699867248535,49.68830108642578,13,3,"U","Indian/Antananarivo","airport","OurAirports" 933,"Sambava Airport","Sambava","Madagascar","SVB","FMNS",-14.278599739074707,50.17470169067383,20,3,"U","Indian/Antananarivo","airport","OurAirports" 934,"Vohimarina Airport","Vohemar","Madagascar","VOH","FMNV",-13.375800132751465,50.00279998779297,19,3,"U","Indian/Antananarivo","airport","OurAirports" 935,"Ambalabe Airport","Antsohihy","Madagascar","WAI","FMNW",-14.898799896240234,47.993900299072266,92,3,"U","Indian/Antananarivo","airport","OurAirports" 936,"Ampampamena Airport","Ampampamena","Madagascar","IVA","FMNZ",-13.484816,48.632702,49,3,"U","Indian/Antananarivo","airport","OurAirports" 937,"Tôlanaro Airport","Tolagnaro","Madagascar","FTU","FMSD",-25.03809928894043,46.95610046386719,29,3,"U","Indian/Antananarivo","airport","OurAirports" 938,"Fianarantsoa Airport","Fianarantsoa","Madagascar","WFI","FMSF",-21.441600799560547,47.111698150634766,3658,3,"U","Indian/Antananarivo","airport","OurAirports" 939,"Farafangana Airport","Farafangana","Madagascar","RVA","FMSG",-22.805299758911133,47.82059860229492,26,3,"U","Indian/Antananarivo","airport","OurAirports" 940,"Manakara Airport","Manakara","Madagascar","WVK","FMSK",-22.119699478149414,48.02170181274414,33,3,"U","Indian/Antananarivo","airport","OurAirports" 941,"Mananjary Airport","Mananjary","Madagascar","MNJ","FMSM",-21.201799392700195,48.358299255371094,20,3,"U","Indian/Antananarivo","airport","OurAirports" 942,"Morombe Airport","Morombe","Madagascar","MXM","FMSR",-21.7539005279541,43.3754997253418,16,3,"U","Indian/Antananarivo","airport","OurAirports" 943,"Toliara Airport","Toliara","Madagascar","TLE","FMST",-23.383399963378906,43.72850036621094,29,3,"U","Indian/Antananarivo","airport","OurAirports" 944,"Mbanza Congo Airport","M'banza-congo","Angola","SSY","FNBC",-6.269899845123291,14.246999740600586,1860,1,"N","Africa/Luanda","airport","OurAirports" 945,"Benguela Airport","Benguela","Angola","BUG","FNBG",-12.609000206,13.4036998749,118,1,"N","Africa/Luanda","airport","OurAirports" 946,"Cabinda Airport","Cabinda","Angola","CAB","FNCA",-5.59699010848999,12.188400268554688,66,1,"N","Africa/Luanda","airport","OurAirports" 948,"Nova Lisboa Airport","Huambo","Angola","NOV","FNHU",-12.808899879455566,15.760499954223633,5587,1,"N","Africa/Luanda","airport","OurAirports" 949,"Kuito Airport","Kuito","Angola","SVP","FNKU",-12.404600143433,16.947399139404,5618,1,"N","Africa/Luanda","airport","OurAirports" 950,"Lobito Airport","Lobito","Angola",\N,"FNLB",-12.371199607849121,13.536600112915039,10,1,"N","Africa/Luanda","airport","OurAirports" 951,"Quatro de Fevereiro Airport","Luanda","Angola","LAD","FNLU",-8.85837,13.2312,243,1,"N","Africa/Luanda","airport","OurAirports" 952,"Malanje Airport","Malanje","Angola","MEG","FNMA",-9.525090217590332,16.312400817871094,3868,1,"N","Africa/Luanda","airport","OurAirports" 953,"Menongue Airport","Menongue","Angola","SPP","FNME",-14.657600402832031,17.71980094909668,4469,1,"N","Africa/Luanda","airport","OurAirports" 955,"Negage Airport","Negage","Angola","GXG","FNNG",-7.754509925842285,15.287699699401855,4105,1,"N","Africa/Luanda","airport","OurAirports" 956,"Porto Amboim Airport","Porto Amboim","Angola","PBN","FNPA",-10.722000122070312,13.76550006866455,16,1,"N","Africa/Luanda","airport","OurAirports" 957,"Saurimo Airport","Saurimo","Angola","VHC","FNSA",-9.689069747924805,20.431900024414062,3584,1,"N","Africa/Luanda","airport","OurAirports" 958,"Soyo Airport","Soyo","Angola","SZA","FNSO",-6.141089916229248,12.371800422668457,15,1,"N","Africa/Luanda","airport","OurAirports" 959,"Lubango Airport","Lubango","Angola","SDD","FNUB",-14.924699783325195,13.574999809265137,5778,1,"N","Africa/Luanda","airport","OurAirports" 960,"Luena Airport","Luena","Angola","LUO","FNUE",-11.768099784851074,19.8976993560791,4360,1,"N","Africa/Luanda","airport","OurAirports" 961,"Uige Airport","Uige","Angola","UGO","FNUG",-7.60306978225708,15.027799606323242,2720,1,"N","Africa/Luanda","airport","OurAirports" 962,"Xangongo Airport","Xangongo","Angola","XGN","FNXA",-16.755399703979492,14.965299606323242,3635,1,"N","Africa/Luanda","airport","OurAirports" 963,"Oyem Airport","Oyem","Gabon","OYE","FOGO",1.5431100130081177,11.581399917602539,2158,1,"N","Africa/Libreville","airport","OurAirports" 964,"Okondja Airport","Okondja","Gabon","OKN","FOGQ",-0.6652140021324158,13.673100471496582,1325,1,"N","Africa/Libreville","airport","OurAirports" 965,"Lambarene Airport","Lambarene","Gabon","LBQ","FOGR",-0.7043889760971069,10.245699882507324,82,1,"N","Africa/Libreville","airport","OurAirports" 966,"Bitam Airport","Bitam","Gabon","BMM","FOOB",2.0756399631500244,11.493200302124023,1969,1,"N","Africa/Libreville","airport","OurAirports" 967,"Port Gentil Airport","Port Gentil","Gabon","POG","FOOG",-0.7117390036582947,8.754380226135254,13,1,"N","Africa/Libreville","airport","OurAirports" 968,"Omboue Hopital Airport","Omboue Hospial","Gabon","OMB","FOOH",-1.5747300386428833,9.262689590454102,33,1,"N","Africa/Libreville","airport","OurAirports" 969,"Makokou Airport","Makokou","Gabon","MKU","FOOK",0.5792109966278076,12.890899658203125,1726,1,"N","Africa/Libreville","airport","OurAirports" 970,"Libreville Leon M'ba International Airport","Libreville","Gabon","LBV","FOOL",0.458600014448,9.412280082699999,39,1,"N","Africa/Libreville","airport","OurAirports" 971,"M'Vengue El Hadj Omar Bongo Ondimba International Airport","Franceville","Gabon","MVB","FOON",-1.6561599969863892,13.437999725341797,1450,1,"N","Africa/Libreville","airport","OurAirports" 972,"Principe Airport","Principe","Sao Tome and Principe","PCP","FPPR",1.6629400253295898,7.411739826202393,591,0,"N","Africa/Sao_Tome","airport","OurAirports" 973,"São Tomé International Airport","Sao Tome","Sao Tome and Principe","TMS","FPST",0.3781749904155731,6.7121500968933105,33,0,"N","Africa/Sao_Tome","airport","OurAirports" 974,"Beira Airport","Beira","Mozambique","BEW","FQBR",-19.79640007019043,34.90760040283203,33,2,"U","Africa/Maputo","airport","OurAirports" 976,"Inhambane Airport","Inhambane","Mozambique","INH","FQIN",-23.876399993896484,35.40850067138672,30,2,"U","Africa/Maputo","airport","OurAirports" 977,"Lichinga Airport","Lichinga","Mozambique","VXC","FQLC",-13.274,35.2663,4505,2,"U","Africa/Maputo","airport","OurAirports" 978,"Lumbo Airport","Lumbo","Mozambique","LFB","FQLU",-15.0331001282,40.671699523899996,33,2,"U","Africa/Maputo","airport","OurAirports" 979,"Maputo Airport","Maputo","Mozambique","MPM","FQMA",-25.920799,32.572601,145,2,"U","Africa/Maputo","airport","OurAirports" 980,"Mueda Airport","Mueda","Mozambique","MUD","FQMD",-11.672900199890137,39.5630989074707,2789,2,"U","Africa/Maputo","airport","OurAirports" 981,"Mocímboa da Praia Airport","Mocimboa Da Praia","Mozambique","MZB","FQMP",-11.361800193786621,40.35490036010742,89,2,"U","Africa/Maputo","airport","OurAirports" 982,"Marrupa Airport","Marrupa","Mozambique",\N,"FQMR",-13.225099563598633,37.552101135253906,2480,2,"U","Africa/Maputo","airport","OurAirports" 983,"Nacala Airport","Nacala","Mozambique","MNC","FQNC",-14.488200187683105,40.71220016479492,410,2,"U","Africa/Maputo","airport","OurAirports" 984,"Nampula Airport","Nampula","Mozambique","APL","FQNP",-15.105600357055664,39.28179931640625,1444,2,"U","Africa/Maputo","airport","OurAirports" 985,"Pemba Airport","Pemba","Mozambique","POL","FQPB",-12.991762161254883,40.52401351928711,331,2,"U","Africa/Maputo","airport","OurAirports" 986,"Quelimane Airport","Quelimane","Mozambique","UEL","FQQL",-17.855499267578125,36.86909866333008,36,2,"U","Africa/Maputo","airport","OurAirports" 987,"Songo Airport","Songo","Mozambique",\N,"FQSG",-15.602700233459473,32.77320098876953,2904,2,"U","Africa/Maputo","airport","OurAirports" 988,"Chingozi Airport","Tete","Mozambique","TET","FQTT",-16.104799270629883,33.640201568603516,525,2,"U","Africa/Maputo","airport","OurAirports" 989,"Ulongwe Airport","Ulongwe","Mozambique",\N,"FQUG",-14.70460033416748,34.35240173339844,4265,2,"U","Africa/Maputo","airport","OurAirports" 990,"Vilankulo Airport","Vilankulu","Mozambique","VNX","FQVL",-22.018400192260742,35.31330108642578,46,2,"U","Africa/Maputo","airport","OurAirports" 991,"Alphonse Airport","Alphonse","Seychelles",\N,"FSAL",-7.00478,52.7262,10,4,"U","Indian/Mahe","airport","OurAirports" 992,"Desroches Airport","Desroches","Seychelles","DES","FSDR",-5.6967,53.6558,10,4,"U","Indian/Mahe","airport","OurAirports" 993,"Farquhar Airport","Farquhar","Seychelles",\N,"FSFA",-10.1096,51.176102,10,4,"U","Indian/Mahe","airport","OurAirports" 994,"Seychelles International Airport","Mahe","Seychelles","SEZ","FSIA",-4.67434,55.521801,10,4,"U","Indian/Mahe","airport","OurAirports" 995,"Praslin Airport","Praslin","Seychelles","PRI","FSPP",-4.3192901611328125,55.69139862060547,10,4,"U","Indian/Mahe","airport","OurAirports" 996,"Coetivy Airport","Coetivy","Seychelles",\N,"FSSC",-7.13457,56.278198,10,4,"U","Indian/Mahe","airport","OurAirports" 997,"Abeche Airport","Abeche","Chad","AEH","FTTC",13.847000122070312,20.84429931640625,1788,1,"N","Africa/Ndjamena","airport","OurAirports" 998,"Moundou Airport","Moundou","Chad","MQQ","FTTD",8.624409675598145,16.071399688720703,1407,1,"N","Africa/Ndjamena","airport","OurAirports" 999,"N'Djamena International Airport","N'djamena","Chad","NDJ","FTTJ",12.1337,15.034,968,1,"N","Africa/Ndjamena","airport","OurAirports" 1000,"Faya Largeau Airport","Faya-largeau","Chad","FYT","FTTY",17.91710090637207,19.111099243164062,771,1,"N","Africa/Ndjamena","airport","OurAirports" 1001,"Joshua Mqabuko Nkomo International Airport","Bulawayo","Zimbabwe","BUQ","FVBU",-20.017401,28.617901,4359,2,"U","Africa/Harare","airport","OurAirports" 1002,"Charles Prince Airport","Harare","Zimbabwe",\N,"FVCP",-17.75160026550293,30.924699783325195,4845,2,"U","Africa/Harare","airport","OurAirports" 1003,"Buffalo Range Airport","Chiredzi","Zimbabwe","BFO","FVCZ",-21.008101,31.5786,1421,2,"U","Africa/Harare","airport","OurAirports" 1004,"Victoria Falls International Airport","Victoria Falls","Zimbabwe","VFA","FVFA",-18.09589958190918,25.839000701904297,3490,2,"U","Africa/Harare","airport","OurAirports" 1005,"Robert Gabriel Mugabe International Airport","Harare","Zimbabwe","HRE","FVHA",-17.931801,31.0928,4887,2,"U","Africa/Harare","airport","OurAirports" 1006,"Kariba International Airport","Kariba","Zimbabwe","KAB","FVKB",-16.519800186157227,28.885000228881836,1706,2,"U","Africa/Harare","airport","OurAirports" 1007,"Mutoko Airport","Mutoko","Zimbabwe",\N,"FVMT",-17.431900024414062,32.18450164794922,3950,2,"U","Africa/Harare","airport","OurAirports" 1008,"Mutare Airport","Mutare","Zimbabwe","UTA","FVMU",-18.997499465942,32.627201080322,3410,2,"U","Africa/Harare","airport","OurAirports" 1009,"Masvingo International Airport","Masvingo","Zimbabwe","MVZ","FVMV",-20.055299758911133,30.859100341796875,3595,2,"U","Africa/Harare","airport","OurAirports" 1010,"Zvishavane Airport","Zvishavane","Zimbabwe",\N,"FVSH",-20.289499282836914,30.088199615478516,3012,2,"U","Africa/Harare","airport","OurAirports" 1011,"Thornhill Air Base","Gwert","Zimbabwe","GWE","FVTL",-19.436399459838867,29.861900329589844,4680,2,"U","Africa/Harare","airport","OurAirports" 1012,"Hwange National Park Airport","Hwange National Park","Zimbabwe","HWN","FVWN",-18.629899978637695,27.020999908447266,3543,2,"U","Africa/Harare","airport","OurAirports" 1013,"Chileka International Airport","Blantyre","Malawi","BLZ","FWCL",-15.679100036621094,34.9739990234375,2555,2,"U","Africa/Blantyre","airport","OurAirports" 1014,"Karonga Airport","Karonga","Malawi","KGJ","FWKA",-9.953570365905762,33.893001556396484,1765,2,"U","Africa/Blantyre","airport","OurAirports" 1015,"Kasungu Airport","Kasungu","Malawi","KBQ","FWKG",-13.014599800109863,33.46860122680664,3470,2,"U","Africa/Blantyre","airport","OurAirports" 1016,"Lilongwe International Airport","Lilongwe","Malawi","LLW","FWKI",-13.7894001007,33.78099823,4035,2,"U","Africa/Blantyre","airport","OurAirports" 1017,"Mzuzu Airport","Mzuzu","Malawi","ZZU","FWUU",-11.444700241088867,34.01179885864258,4115,2,"U","Africa/Blantyre","airport","OurAirports" 1018,"Moshoeshoe I International Airport","Maseru","Lesotho","MSU","FXMM",-29.462299346923828,27.552499771118164,5348,2,"U","Africa/Maseru","airport","OurAirports" 1019,"Mejametalana Airbase","Maseru","Lesotho",\N,"FXMU",-29.304100036621094,27.50349998474121,5105,2,"U","Africa/Maseru","airport","OurAirports" 1020,"Ndjili International Airport","Kinshasa","Congo (Kinshasa)","FIH","FZAA",-4.38575,15.4446,1027,1,"N","Africa/Kinshasa","airport","OurAirports" 1021,"Ndolo Airport","Kinshasa","Congo (Kinshasa)","NLO","FZAB",-4.32666015625,15.327500343323,915,1,"N","Africa/Kinshasa","airport","OurAirports" 1022,"Muanda Airport","Muanda","Congo (Kinshasa)","MNB","FZAG",-5.9308600425720215,12.351799964904785,89,1,"N","Africa/Kinshasa","airport","OurAirports" 1023,"Kitona Base Airport","Kitona Base","Congo (Kinshasa)",\N,"FZAI",-5.918059825897217,12.447699546813965,394,1,"N","Africa/Kinshasa","airport","OurAirports" 1024,"Bandundu Airport","Bandoundu","Congo (Kinshasa)","FDU","FZBO",-3.3113200664520264,17.38170051574707,1063,1,"N","Africa/Kinshasa","airport","OurAirports" 1025,"Kikwit Airport","Kikwit","Congo (Kinshasa)","KKW","FZCA",-5.035769939422607,18.785600662231445,1572,1,"N","Africa/Kinshasa","airport","OurAirports" 1026,"Mbandaka Airport","Mbandaka","Congo (Kinshasa)","MDK","FZEA",0.0226000007242,18.2887001038,1040,1,"N","Africa/Kinshasa","airport","OurAirports" 1027,"Gbadolite Airport","Gbadolite","Congo (Kinshasa)","BDT","FZFD",4.253210067749023,20.975299835205078,1509,1,"N","Africa/Kinshasa","airport","OurAirports" 1028,"Gemena Airport","Gemena","Congo (Kinshasa)","GMA","FZFK",3.2353699207299997,19.771299362199997,1378,1,"N","Africa/Kinshasa","airport","OurAirports" 1029,"Kotakoli Airport","Kotakoli","Congo (Kinshasa)","KLI","FZFP",4.157639980316162,21.65089988708496,1801,1,"N","Africa/Kinshasa","airport","OurAirports" 1030,"Lisala Airport","Lisala","Congo (Kinshasa)","LIQ","FZGA",2.17066,21.496901,1509,1,"N","Africa/Kinshasa","airport","OurAirports" 1031,"Bangoka International Airport","Kisangani","Congo (Kinshasa)","FKI","FZIC",0.481638997793,25.3379993439,1417,2,"U","Africa/Lubumbashi","airport","OurAirports" 1032,"Matari Airport","Isiro","Congo (Kinshasa)","IRP","FZJH",2.8276100158691406,27.588300704956055,2438,2,"U","Africa/Lubumbashi","airport","OurAirports" 1033,"Bunia Airport","Bunia","Congo (Kinshasa)","BUX","FZKA",1.5657199621200562,30.220800399780273,4045,2,"U","Africa/Lubumbashi","airport","OurAirports" 1034,"Buta Zega Airport","Buta Zega","Congo (Kinshasa)","BZU","FZKJ",2.818350076675415,24.793699264526367,1378,2,"U","Africa/Lubumbashi","airport","OurAirports" 1035,"Bukavu Kavumu Airport","Bukavu/kavumu","Congo (Kinshasa)","BKY","FZMA",-2.3089799880981445,28.808799743652344,5643,2,"U","Africa/Lubumbashi","airport","OurAirports" 1036,"Goma International Airport","Goma","Congo (Kinshasa)","GOM","FZNA",-1.6708099842071533,29.238500595092773,5089,2,"U","Africa/Kigali","airport","OurAirports" 1037,"Kindu Airport","Kindu","Congo (Kinshasa)","KND","FZOA",-2.91917991638,25.915399551399997,1630,2,"U","Africa/Lubumbashi","airport","OurAirports" 1038,"Lubumbashi International Airport","Lubumashi","Congo (Kinshasa)","FBM","FZQA",-11.5913000107,27.5308990479,4295,2,"U","Africa/Lubumbashi","airport","OurAirports" 1039,"Kolwezi Airport","Kolwezi","Congo (Kinshasa)","KWZ","FZQM",-10.765899658203125,25.505699157714844,5007,2,"U","Africa/Lubumbashi","airport","OurAirports" 1040,"Kalemie Airport","Kalemie","Congo (Kinshasa)","FMI","FZRF",-5.8755598068237305,29.25,2569,2,"U","Africa/Lubumbashi","airport","OurAirports" 1041,"Kamina Base Airport","Kamina Base","Congo (Kinshasa)","KMN","FZSA",-8.642020225524902,25.252899169921875,3543,2,"U","Africa/Lubumbashi","airport","OurAirports" 1042,"Kananga Airport","Kananga","Congo (Kinshasa)","KGA","FZUA",-5.90005016327,22.4692001343,2139,2,"U","Africa/Lubumbashi","airport","OurAirports" 1043,"Mbuji Mayi Airport","Mbuji-mayi","Congo (Kinshasa)","MJM","FZWA",-6.121240139010001,23.569000244099996,2221,2,"U","Africa/Lubumbashi","airport","OurAirports" 1044,"Modibo Keita International Airport","Bamako","Mali","BKO","GABS",12.5335,-7.94994,1247,0,"N","Africa/Bamako","airport","OurAirports" 1045,"Gao Airport","Gao","Mali","GAQ","GAGO",16.24839973449707,-0.005456000100821257,870,0,"N","Africa/Bamako","airport","OurAirports" 1046,"Kayes Dag Dag Airport","Kayes","Mali","KYS","GAKY",14.481200218200684,-11.404399871826172,164,0,"N","Africa/Bamako","airport","OurAirports" 1047,"Mopti Airport","Mopti","Mali","MZI","GAMB",14.5128002167,-4.0795598030099995,906,0,"N","Africa/Bamako","airport","OurAirports" 1048,"Timbuktu Airport","Tombouctou","Mali","TOM","GATB",16.730499267578125,-3.007580041885376,863,0,"N","Africa/Bamako","airport","OurAirports" 1049,"Tessalit Airport","Tessalit","Mali",\N,"GATS",20.243000030517578,0.9773079752922058,1621,0,"N","Africa/Bamako","airport","OurAirports" 1050,"Banjul International Airport","Banjul","Gambia","BJL","GBYD",13.338000297546387,-16.65220069885254,95,0,"N","Africa/Banjul","airport","OurAirports" 1051,"Fuerteventura Airport","Fuerteventura","Spain","FUE","GCFV",28.452699661254883,-13.863800048828125,85,0,"E","Atlantic/Canary","airport","OurAirports" 1052,"Hierro Airport","Hierro","Spain","VDE","GCHI",27.814800262451172,-17.887100219726562,103,0,"E","Atlantic/Canary","airport","OurAirports" 1053,"La Palma Airport","Santa Cruz De La Palma","Spain","SPC","GCLA",28.626499,-17.7556,107,0,"E","Atlantic/Canary","airport","OurAirports" 1054,"Gran Canaria Airport","Gran Canaria","Spain","LPA","GCLP",27.931900024414062,-15.38659954071045,78,0,"E","Atlantic/Canary","airport","OurAirports" 1055,"Lanzarote Airport","Arrecife","Spain","ACE","GCRR",28.945499,-13.6052,46,0,"E","Atlantic/Canary","airport","OurAirports" 1056,"Tenerife South Airport","Tenerife","Spain","TFS","GCTS",28.044500351,-16.5725002289,209,0,"E","Atlantic/Canary","airport","OurAirports" 1057,"Tenerife Norte Airport","Tenerife","Spain","TFN","GCXO",28.4827003479,-16.3414993286,2076,0,"E","Atlantic/Canary","airport","OurAirports" 1058,"Melilla Airport","Melilla","Spain","MLN","GEML",35.279800415,-2.9562599659,156,1,"E","Europe/Madrid","airport","OurAirports" 1059,"Lungi International Airport","Freetown","Sierra Leone","FNA","GFLL",8.61644,-13.1955,84,0,"N","Africa/Freetown","airport","OurAirports" 1060,"Cufar Airport","Cufar","Guinea-Bissau",\N,"GGCF",11.2878999710083,-15.180500030517578,65,0,"N","Africa/Bissau","airport","OurAirports" 1062,"Spriggs Payne Airport","Monrovia","Liberia","MLW","GLMR",6.289060115814209,-10.758700370788574,25,0,"N","Africa/Monrovia","airport","OurAirports" 1063,"Roberts International Airport","Monrovia","Liberia","ROB","GLRB",6.23379,-10.3623,31,0,"N","Africa/Monrovia","airport","OurAirports" 1064,"Al Massira Airport","Agadir","Morocco","AGA","GMAD",30.325000762939453,-9.413069725036621,250,0,"N","Africa/Casablanca","airport","OurAirports" 1065,"Tan Tan Airport","Tan Tan","Morocco","TTA","GMAT",28.448200225830078,-11.161299705505371,653,0,"N","Africa/Casablanca","airport","OurAirports" 1066,"Saïss Airport","Fes","Morocco","FEZ","GMFF",33.9272994995,-4.977960109709999,1900,0,"N","Africa/Casablanca","airport","OurAirports" 1067,"Ifrane Airport","Ifrane","Morocco",\N,"GMFI",33.50529861450195,-5.152900218963623,5459,0,"N","Africa/Casablanca","airport","OurAirports" 1068,"Moulay Ali Cherif Airport","Er-rachidia","Morocco","ERH","GMFK",31.9475002289,-4.39833021164,3428,0,"N","Africa/Casablanca","airport","OurAirports" 1069,"Bassatine Airport","Meknes","Morocco","MEK","GMFM",33.87910079956055,-5.515120029449463,1890,0,"N","Africa/Casablanca","airport","OurAirports" 1070,"Angads Airport","Oujda","Morocco","OUD","GMFO",34.787200927734375,-1.92399001121521,1535,0,"N","Africa/Casablanca","airport","OurAirports" 1071,"Ben Slimane Airport","Ben Slimane","Morocco","GMD","GMMB",33.655399,-7.22145,627,0,"N","Africa/Casablanca","airport","OurAirports" 1072,"Rabat-Salé Airport","Rabat","Morocco","RBA","GMME",34.051498,-6.75152,276,0,"N","Africa/Casablanca","airport","OurAirports" 1074,"Mohammed V International Airport","Casablanca","Morocco","CMN","GMMN",33.36750030517578,-7.589970111846924,656,0,"N","Africa/Casablanca","airport","OurAirports" 1075,"Menara Airport","Marrakech","Morocco","RAK","GMMX",31.606899261499997,-8.03629970551,1545,0,"N","Africa/Casablanca","airport","OurAirports" 1076,"Kenitra Airport","Kentira","Morocco","NNA","GMMY",34.29890060424805,-6.595880031585693,16,0,"N","Africa/Casablanca","airport","OurAirports" 1077,"Ouarzazate Airport","Ouarzazate","Morocco","OZZ","GMMZ",30.9391002655,-6.909430027010001,3782,0,"N","Africa/Casablanca","airport","OurAirports" 1078,"Cherif Al Idrissi Airport","Al Hociema","Morocco","AHU","GMTA",35.177101135253906,-3.83951997756958,95,0,"N","Africa/Casablanca","airport","OurAirports" 1079,"Saniat R'mel Airport","Tetouan","Morocco","TTU","GMTN",35.594299316406,-5.320020198822,10,0,"N","Africa/Casablanca","airport","OurAirports" 1080,"Ibn Batouta Airport","Tanger","Morocco","TNG","GMTT",35.726898193400004,-5.91689014435,62,0,"N","Africa/Casablanca","airport","OurAirports" 1081,"Ziguinchor Airport","Ziguinchor","Senegal","ZIG","GOGG",12.5556,-16.281799,75,0,"N","Africa/Dakar","airport","OurAirports" 1082,"Cap Skirring Airport","Cap Skiring","Senegal","CSK","GOGS",12.39533,-16.748,52,0,"N","Africa/Dakar","airport","OurAirports" 1083,"Kaolack Airport","Kaolack","Senegal","KLC","GOOK",14.146900177001953,-16.051300048828125,26,0,"N","Africa/Dakar","airport","OurAirports" 1084,"Léopold Sédar Senghor International Airport","Dakar","Senegal","DKR","GOOY",14.739700317382812,-17.49020004272461,85,0,"N","Africa/Dakar","airport","OurAirports" 1085,"Saint Louis Airport","St. Louis","Senegal","XLS","GOSS",16.050800323486328,-16.463199615478516,9,0,"N","Africa/Dakar","airport","OurAirports" 1086,"Bakel Airport","Bakel","Senegal","BXE","GOTB",14.847299575805664,-12.468299865722656,98,0,"N","Africa/Dakar","airport","OurAirports" 1087,"Kédougou Airport","Kedougou","Senegal","KGG","GOTK",12.57229995727539,-12.22029972076416,584,0,"N","Africa/Dakar","airport","OurAirports" 1088,"Tambacounda Airport","Tambacounda","Senegal","TUD","GOTT",13.736800193786621,-13.65310001373291,161,0,"N","Africa/Dakar","airport","OurAirports" 1089,"Aioun el Atrouss Airport","Aioun El Atrouss","Mauritania","AEO","GQNA",16.711299896240234,-9.637880325317383,951,0,"N","Africa/Nouakchott","airport","OurAirports" 1090,"Tidjikja Airport","Tidjikja","Mauritania","TIY","GQND",18.570100784301758,-11.423500061035156,1363,0,"N","Africa/Nouakchott","airport","OurAirports" 1091,"Kiffa Airport","Kiffa","Mauritania","KFA","GQNF",16.59000015258789,-11.406200408935547,424,0,"N","Africa/Nouakchott","airport","OurAirports" 1092,"Néma Airport","Nema","Mauritania","EMN","GQNI",16.621999740600586,-7.3165998458862305,751,0,"N","Africa/Nouakchott","airport","OurAirports" 1093,"Kaédi Airport","Kaedi","Mauritania","KED","GQNK",16.159500122070312,-13.507599830627441,66,0,"N","Africa/Nouakchott","airport","OurAirports" 1094,"Nouakchott–Oumtounsy International Airport","Nouakschott","Mauritania","NKC","GQNO",18.31,-15.9697222,9,0,"N","Africa/Nouakchott","airport","OurAirports" 1095,"Sélibaby Airport","Selibabi","Mauritania","SEY","GQNS",15.179699897766113,-12.207300186157227,219,0,"N","Africa/Nouakchott","airport","OurAirports" 1096,"Atar International Airport","Atar","Mauritania","ATR","GQPA",20.506799697875977,-13.04319953918457,734,0,"N","Africa/Nouakchott","airport","OurAirports" 1097,"Nouadhibou International Airport","Nouadhibou","Mauritania","NDB","GQPP",20.9330997467041,-17.030000686645508,24,0,"N","Africa/Nouakchott","airport","OurAirports" 1098,"Bir Moghrein Airport","Bir Moghrein","Mauritania",\N,"GQPT",25.2367000579834,-11.588700294494629,1206,0,"N","Africa/Nouakchott","airport","OurAirports" 1099,"Fria Airport","Fira","Guinea","FIG","GUFA",10.350600242615,-13.569199562073,499,0,"N","Africa/Conakry","airport","OurAirports" 1100,"Faranah Airport","Faranah","Guinea","FAA","GUFH",10.0354995728,-10.7698001862,1476,0,"N","Africa/Conakry","airport","OurAirports" 1101,"Tata Airport","Labe","Guinea","LEK","GULB",11.326100349426,-12.286800384521,3396,0,"N","Africa/Conakry","airport","OurAirports" 1102,"Amílcar Cabral International Airport","Amilcar Cabral","Cape Verde","SID","GVAC",16.7414,-22.9494,177,-1,"U","Atlantic/Cape_Verde","airport","OurAirports" 1103,"Rabil Airport","Boa Vista","Cape Verde","BVC","GVBA",16.136499404907227,-22.888900756835938,69,-1,"U","Atlantic/Cape_Verde","airport","OurAirports" 1104,"Maio Airport","Maio","Cape Verde","MMO","GVMA",15.155900001525879,-23.213699340820312,36,-1,"U","Atlantic/Cape_Verde","airport","OurAirports" 1105,"Preguiça Airport","Sao Nocolau Island","Cape Verde","SNE","GVSN",16.58839988708496,-24.284700393676758,669,-1,"U","Atlantic/Cape_Verde","airport","OurAirports" 1106,"São Pedro Airport","Sao Vicente Island","Cape Verde","VXE","GVSV",16.833200454711914,-25.055299758911133,66,-1,"U","Atlantic/Cape_Verde","airport","OurAirports" 1107,"Addis Ababa Bole International Airport","Addis Ababa","Ethiopia","ADD","HAAB",8.97789001465,38.799301147499996,7630,3,"U","Africa/Addis_Ababa","airport","OurAirports" 1108,"Lideta Army Airport","Addis Ababa","Ethiopia",\N,"HAAL",9.003685,38.725498,7749,3,"U","Africa/Addis_Ababa","airport","OurAirports" 1109,"Arba Minch Airport","Arba Minch","Ethiopia","AMH","HAAM",6.0393900871276855,37.59049987792969,3901,3,"U","Africa/Addis_Ababa","airport","OurAirports" 1110,"Axum Airport","Axum","Ethiopia","AXU","HAAX",14.14680004119873,38.77280044555664,6959,3,"U","Africa/Addis_Ababa","airport","OurAirports" 1111,"Bahir Dar Airport","Bahar Dar","Ethiopia","BJR","HABD",11.608099937438965,37.32160186767578,5978,3,"U","Africa/Addis_Ababa","airport","OurAirports" 1112,"Aba Tenna Dejazmach Yilma International Airport","Dire Dawa","Ethiopia","DIR","HADR",9.624699592590332,41.85419845581055,3827,3,"U","Africa/Addis_Ababa","airport","OurAirports" 1113,"Gambella Airport","Gambella","Ethiopia","GMB","HAGM",8.12876033782959,34.5630989074707,1614,3,"U","Africa/Addis_Ababa","airport","OurAirports" 1114,"Gonder Airport","Gondar","Ethiopia","GDQ","HAGN",12.51990032196045,37.433998107910156,6449,3,"U","Africa/Addis_Ababa","airport","OurAirports" 1116,"Jimma Airport","Jimma","Ethiopia","JIM","HAJM",7.66609001159668,36.81660079956055,5500,3,"U","Africa/Addis_Ababa","airport","OurAirports" 1117,"Lalibella Airport","Lalibella","Ethiopia","LLI","HALL",11.975000381469727,38.97999954223633,6506,3,"U","Africa/Addis_Ababa","airport","OurAirports" 1118,"Mekele Airport","Makale","Ethiopia","MQX","HAMK",13.467399597167969,39.53350067138672,7396,3,"U","Africa/Addis_Ababa","airport","OurAirports" 1119,"Asosa Airport","Asosa","Ethiopia","ASO","HASO",10.018500328063965,34.586299896240234,5100,3,"U","Africa/Addis_Ababa","airport","OurAirports" 1120,"Bujumbura International Airport","Bujumbura","Burundi","BJM","HBBA",-3.3240199089050293,29.318500518798828,2582,2,"U","Africa/Bujumbura","airport","OurAirports" 1121,"Egal International Airport","Hargeisa","Somalia","HGA","HCMH",9.518170356750488,44.08879852294922,4423,3,"U","Africa/Mogadishu","airport","OurAirports" 1122,"Berbera Airport","Berbera","Somalia","BBO","HCMI",10.389200210571289,44.94110107421875,30,3,"U","Africa/Mogadishu","airport","OurAirports" 1123,"Kisimayu Airport","Kismayu","Somalia","KMU","HCMK",-0.3773530125617981,42.45920181274414,49,3,"U","Africa/Mogadishu","airport","OurAirports" 1126,"El Nouzha Airport","Alexandria","Egypt","ALY","HEAX",31.183900833129883,29.94890022277832,-6,2,"U","Africa/Cairo","airport","OurAirports" 1127,"Abu Simbel Airport","Abu Simbel","Egypt","ABS","HEBL",22.375999450699997,31.611700058,616,2,"U","Africa/Cairo","airport","OurAirports" 1128,"Cairo International Airport","Cairo","Egypt","CAI","HECA",30.12190055847168,31.40559959411621,382,2,"U","Africa/Cairo","airport","OurAirports" 1129,"Cairo West Airport","Cairo","Egypt","CWE","HECW",30.116399765,30.915399551399997,550,2,"U","Africa/Cairo","airport","OurAirports" 1130,"Hurghada International Airport","Hurghada","Egypt","HRG","HEGN",27.178300857543945,33.799400329589844,52,2,"U","Africa/Cairo","airport","OurAirports" 1131,"El Gora Airport","El Gorah","Egypt","EGH","HEGR",31.068559,34.129629,324,2,"U","Africa/Cairo","airport","OurAirports" 1132,"Luxor International Airport","Luxor","Egypt","LXR","HELX",25.671,32.7066,294,2,"U","Africa/Cairo","airport","OurAirports" 1133,"Mersa Matruh Airport","Mersa-matruh","Egypt","MUH","HEMM",31.3253993988,27.221700668300002,94,2,"U","Africa/Cairo","airport","OurAirports" 1134,"Port Said Airport","Port Said","Egypt","PSD","HEPS",31.279399871826172,32.2400016784668,8,2,"U","Africa/Cairo","airport","OurAirports" 1135,"St Catherine International Airport","St. Catherine","Egypt","SKV","HESC",28.685300827,34.0625,4368,2,"U","Africa/Cairo","airport","OurAirports" 1136,"Aswan International Airport","Aswan","Egypt","ASW","HESN",23.9643993378,32.8199996948,662,2,"U","Africa/Cairo","airport","OurAirports" 1137,"El Tor Airport","El-tor","Egypt","ELT","HETR",28.208999633789062,33.64550018310547,115,2,"U","Africa/Cairo","airport","OurAirports" 1138,"Eldoret International Airport","Eldoret","Kenya","EDL","HKEL",0.4044579863548279,35.23889923095703,6941,3,"U","Africa/Nairobi","airport","OurAirports" 1139,"Kakamega Airport","Kakamega","Kenya","GGM","HKKG",0.271342009306,34.7873001099,5020,3,"U","Africa/Nairobi","airport","OurAirports" 1140,"Kisumu Airport","Kisumu","Kenya","KIS","HKKI",-0.0861390009522438,34.72890090942383,3734,3,"U","Africa/Nairobi","airport","OurAirports" 1141,"Kitale Airport","Kitale","Kenya","KTL","HKKT",0.9719889760017395,34.95859909057617,6070,3,"U","Africa/Nairobi","airport","OurAirports" 1143,"Lodwar Airport","Lodwar","Kenya","LOK","HKLO",3.1219699382781982,35.608699798583984,1715,3,"U","Africa/Nairobi","airport","OurAirports" 1144,"Manda Airstrip","Lamu","Kenya","LAU","HKLU",-2.252419948577881,40.91310119628906,20,3,"U","Africa/Nairobi","airport","OurAirports" 1145,"Mombasa Moi International Airport","Mombasa","Kenya","MBA","HKMO",-4.034830093383789,39.594200134277344,200,3,"U","Africa/Nairobi","airport","OurAirports" 1146,"Naivasha Airport","Naivasha","Kenya",\N,"HKNV",-0.787953,36.433494,6380,3,"U","Africa/Nairobi","airport","OurAirports" 1147,"Nairobi Wilson Airport","Nairobi","Kenya","WIL","HKNW",-1.321720004081726,36.81480026245117,5536,3,"U","Africa/Nairobi","airport","OurAirports" 1148,"Moi Air Base","Nairobi","Kenya",\N,"HKRE",-1.2772699594499999,36.8623008728,5336,3,"U","Africa/Nairobi","airport","OurAirports" 1149,"Wajir Airport","Wajir","Kenya","WJR","HKWJ",1.73324,40.091599,770,3,"U","Africa/Nairobi","airport","OurAirports" 1150,"Bu Attifel Airport","Buattifel","Libya",\N,"HLFL",28.795400619506836,22.080900192260742,161,2,"N","Africa/Tripoli","airport","OurAirports" 1151,"Warehouse 59e Airport","Giallo","Libya",\N,"HLGL",28.638500213623047,21.437999725341797,325,2,"N","Africa/Tripoli","airport","OurAirports" 1152,"Ghat Airport","Ghat","Libya","GHT","HLGT",25.1455993652,10.142600059500001,2296,2,"N","Africa/Tripoli","airport","OurAirports" 1153,"Kufra Airport","Kufra","Libya","AKF","HLKF",24.178699493408203,23.31399917602539,1367,2,"N","Africa/Tripoli","airport","OurAirports" 1154,"Benina International Airport","Benghazi","Libya","BEN","HLLB",32.096801757799994,20.2695007324,433,2,"N","Africa/Tripoli","airport","OurAirports" 1156,"Sabha Airport","Sebha","Libya","SEB","HLLS",26.98699951171875,14.47249984741211,1427,2,"N","Africa/Tripoli","airport","OurAirports" 1157,"Tripoli International Airport","Tripoli","Libya","TIP","HLLT",32.6635017395,13.1590003967,263,2,"N","Africa/Tripoli","airport","OurAirports" 1158,"Marsa Brega Airport","Marsa Brega","Libya","LMQ","HLMB",30.37809944152832,19.576400756835938,50,2,"N","Africa/Tripoli","airport","OurAirports" 1159,"Ras Lanuf Oil Airport","Ras Lanouf V 40","Libya",\N,"HLNF",30.5,18.52720069885254,42,2,"N","Africa/Tripoli","airport","OurAirports" 1160,"Hon Airport","Hon","Libya","HUQ","HLON",29.11009979248047,15.96560001373291,919,2,"N","Africa/Tripoli","airport","OurAirports" 1161,"Dahra Airport","Dahra","Libya",\N,"HLRA",29.47260093688965,17.934900283813477,1050,2,"N","Africa/Tripoli","airport","OurAirports" 1162,"Ghadames East Airport","Ghadames","Libya","LTD","HLTD",30.15169906616211,9.715310096740723,1122,2,"N","Africa/Tripoli","airport","OurAirports" 1163,"Zella 74 Airport","Zella 74","Libya",\N,"HLZA",28.58989906311035,17.293899536132812,1085,2,"N","Africa/Tripoli","airport","OurAirports" 1164,"Gisenyi Airport","Gisenyi","Rwanda","GYI","HRYG",-1.6771999597549438,29.258899688720703,5082,2,"U","Africa/Kigali","airport","OurAirports" 1165,"Kigali International Airport","Kigali","Rwanda","KGL","HRYR",-1.96863,30.1395,4859,2,"U","Africa/Kigali","airport","OurAirports" 1166,"Kamembe Airport","Kamembe","Rwanda","KME","HRZA",-2.462239980697632,28.907899856567383,5192,2,"U","Africa/Kigali","airport","OurAirports" 1167,"Dongola Airport","Dongola","Sudan","DOG","HSDN",19.153900146499996,30.430099487299998,772,3,"U","Africa/Khartoum","airport","OurAirports" 1168,"Damazin Airport","Damazin","Sudan","RSS","HSDZ",11.7859,34.3367,1582,3,"U","Africa/Khartoum","airport","OurAirports" 1169,"El Fasher Airport","El Fasher","Sudan","ELF","HSFS",13.614899635314941,25.324600219726562,2393,3,"U","Africa/Khartoum","airport","OurAirports" 1170,"Kassala Airport","Kassala","Sudan","KSL","HSKA",15.387499809265137,36.328800201416016,1671,3,"U","Africa/Khartoum","airport","OurAirports" 1171,"Kadugli Airport","Kadugli","Sudan","KDX","HSLI",11.137999534600002,29.7010993958,1848,3,"U","Africa/Khartoum","airport","OurAirports" 1172,"El Obeid Airport","El Obeid","Sudan","EBD","HSOB",13.153200149536133,30.23270034790039,1927,3,"U","Africa/Khartoum","airport","OurAirports" 1173,"Juba International Airport","Juba","South Sudan","JUB","HSSJ",4.87201023102,31.6011009216,1513,3,"U","Africa/Juba","airport","OurAirports" 1174,"Malakal Airport","Malakal","Sudan","MAK","HSSM",9.55897045135498,31.65220069885254,1291,3,"U","Africa/Juba","airport","OurAirports" 1175,"Khartoum International Airport","Khartoum","Sudan","KRT","HSSS",15.589500427246094,32.553199768066406,1265,3,"U","Africa/Khartoum","airport","OurAirports" 1176,"Arusha Airport","Arusha","Tanzania","ARK","HTAR",-3.3677899837493896,36.63330078125,4550,3,"U","Africa/Dar_es_Salaam","airport","OurAirports" 1177,"Julius Nyerere International Airport","Dar Es Salaam","Tanzania","DAR","HTDA",-6.87811,39.202599,182,3,"U","Africa/Dar_es_Salaam","airport","OurAirports" 1178,"Dodoma Airport","Dodoma","Tanzania","DOD","HTDO",-6.170440196990967,35.752601623535156,3673,3,"U","Africa/Dar_es_Salaam","airport","OurAirports" 1179,"Iringa Airport","Iringa","Tanzania","IRI","HTIR",-7.668630123138428,35.75210189819336,4678,3,"U","Africa/Dar_es_Salaam","airport","OurAirports" 1180,"Kilimanjaro International Airport","Kilimanjaro","Tanzania","JRO","HTKJ",-3.42940998077,37.0745010376,2932,3,"U","Africa/Dar_es_Salaam","airport","OurAirports" 1181,"Lake Manyara Airport","Lake Manyara","Tanzania","LKY","HTLM",-3.376310110092163,35.81829833984375,4150,3,"N","Africa/Dar_es_Salaam","airport","OurAirports" 1182,"Mtwara Airport","Mtwara","Tanzania","MYW","HTMT",-10.339099884033203,40.181800842285156,371,3,"U","Africa/Dar_es_Salaam","airport","OurAirports" 1183,"Mwanza Airport","Mwanza","Tanzania","MWZ","HTMW",-2.4444899559020996,32.932701110839844,3763,3,"U","Africa/Dar_es_Salaam","airport","OurAirports" 1184,"Pemba Airport","Pemba","Tanzania","PMA","HTPE",-5.257259845733643,39.8114013671875,80,3,"U","Africa/Dar_es_Salaam","airport","OurAirports" 1185,"Tanga Airport","Tanga","Tanzania","TGT","HTTG",-5.092360019683838,39.07120132446289,129,3,"U","Africa/Dar_es_Salaam","airport","OurAirports" 1186,"Abeid Amani Karume International Airport","Zanzibar","Tanzania","ZNZ","HTZA",-6.22202,39.224899,54,3,"U","Africa/Dar_es_Salaam","airport","OurAirports" 1187,"Entebbe International Airport","Entebbe","Uganda","EBB","HUEN",0.042386,32.443501,3782,3,"U","Africa/Kampala","airport","OurAirports" 1189,"Soroti Airport","Soroti","Uganda","SRT","HUSO",1.7276899814605713,33.622798919677734,3697,3,"U","Africa/Kampala","airport","OurAirports" 1190,"Tirana International Airport Mother Teresa","Tirana","Albania","TIA","LATI",41.4146995544,19.7206001282,126,1,"E","Europe/Tirane","airport","OurAirports" 1191,"Burgas Airport","Bourgas","Bulgaria","BOJ","LBBG",42.56959915161133,27.515199661254883,135,2,"E","Europe/Sofia","airport","OurAirports" 1192,"Gorna Oryahovitsa Airport","Gorna Orechovica","Bulgaria","GOZ","LBGO",43.15140151977539,25.712900161743164,285,2,"E","Europe/Sofia","airport","OurAirports" 1193,"Plovdiv International Airport","Plovdiv","Bulgaria","PDV","LBPD",42.067799,24.8508,597,2,"E","Europe/Sofia","airport","OurAirports" 1194,"Sofia Airport","Sofia","Bulgaria","SOF","LBSF",42.696693420410156,23.411436080932617,1742,2,"E","Europe/Sofia","airport","OurAirports" 1195,"Stara Zagora Airport","Stara Zagora","Bulgaria","SZR","LBSZ",42.3766667,25.655,558,2,"E","Europe/Sofia","airport","OurAirports" 1196,"Varna Airport","Varna","Bulgaria","VAR","LBWN",43.232101,27.8251,230,2,"E","Europe/Sofia","airport","OurAirports" 1197,"Larnaca International Airport","Larnaca","Cyprus","LCA","LCLK",34.875099182128906,33.624900817871094,8,2,"E","Asia/Nicosia","airport","OurAirports" 1198,"Paphos International Airport","Paphos","Cyprus","PFO","LCPH",34.71799850463867,32.48569869995117,41,2,"E","Asia/Nicosia","airport","OurAirports" 1199,"RAF Akrotiri","Akrotiri","Cyprus","AKT","LCRA",34.590401,32.9879,76,0,"E","Europe/London","airport","OurAirports" 1200,"Dubrovnik Airport","Dubrovnik","Croatia","DBV","LDDU",42.5614013671875,18.268199920654297,527,1,"E","Europe/Zagreb","airport","OurAirports" 1201,"Osijek-ÄŒepin Airfield","Cepin","Croatia",\N,"LDOC",45.5427778,18.6319444,299,1,"E","Europe/Zagreb","airport","OurAirports" 1202,"Osijek Airport","Osijek","Croatia","OSI","LDOS",45.46269989013672,18.810199737548828,290,1,"E","Europe/Zagreb","airport","OurAirports" 1203,"Pula Airport","Pula","Croatia","PUY","LDPL",44.89350128173828,13.922200202941895,274,1,"E","Europe/Zagreb","airport","OurAirports" 1204,"Grobnicko Polje Airport","Grobnik","Croatia",\N,"LDRG",45.37950134277344,14.503800392150879,951,1,"E","Europe/Zagreb","airport","OurAirports" 1205,"Rijeka Airport","Rijeka","Croatia","RJK","LDRI",45.21689987182617,14.570300102233887,278,1,"E","Europe/Zagreb","airport","OurAirports" 1206,"Split Airport","Split","Croatia","SPU","LDSP",43.53889846801758,16.29800033569336,79,1,"E","Europe/Zagreb","airport","OurAirports" 1207,"Varaždin Airport","Varazdin","Croatia",\N,"LDVA",46.294647216796875,16.382932662963867,548,1,"E","Europe/Zagreb","airport","OurAirports" 1208,"Zagreb Airport","Zagreb","Croatia","ZAG","LDZA",45.7429008484,16.0687999725,353,1,"E","Europe/Zagreb","airport","OurAirports" 1209,"Zadar Airport","Zadar","Croatia","ZAD","LDZD",44.108299,15.3467,289,1,"E","Europe/Zagreb","airport","OurAirports" 1210,"Udbina Air Base","Udbina","Croatia",\N,"LDZU",44.55759811401367,15.774399757385254,2462,1,"E","Europe/Zagreb","airport","OurAirports" 1211,"Albacete-Los Llanos Airport","Albacete","Spain","ABC","LEAB",38.9485015869,-1.8635200262099998,2302,1,"E","Europe/Madrid","airport","OurAirports" 1212,"Alicante International Airport","Alicante","Spain","ALC","LEAL",38.28219985961914,-0.5581560134887695,142,1,"E","Europe/Madrid","airport","OurAirports" 1213,"Almería International Airport","Almeria","Spain","LEI","LEAM",36.84389877319336,-2.3701000213623047,70,1,"E","Europe/Madrid","airport","OurAirports" 1214,"Asturias Airport","Aviles","Spain","OVD","LEAS",43.5635986328125,-6.0346198081970215,416,1,"E","Europe/Madrid","airport","OurAirports" 1215,"Córdoba Airport","Cordoba","Spain","ODB","LEBA",37.84199905395508,-4.848879814147949,297,1,"E","Europe/Madrid","airport","OurAirports" 1216,"Bilbao Airport","Bilbao","Spain","BIO","LEBB",43.30110168457031,-2.9106099605560303,138,1,"E","Europe/Madrid","airport","OurAirports" 1218,"Barcelona International Airport","Barcelona","Spain","BCN","LEBL",41.2971,2.07846,12,1,"E","Europe/Madrid","airport","OurAirports" 1219,"Badajoz Airport","Badajoz","Spain","BJZ","LEBZ",38.891300201416016,-6.8213300704956055,609,1,"E","Europe/Madrid","airport","OurAirports" 1220,"A Coruña Airport","La Coruna","Spain","LCG","LECO",43.302101,-8.37726,326,1,"E","Europe/Madrid","airport","OurAirports" 1221,"Armilla Air Base","Granada","Spain",\N,"LEGA",37.1332016,-3.63568997,2297,1,"E","Europe/Madrid","airport","OurAirports" 1222,"Girona Airport","Gerona","Spain","GRO","LEGE",41.901000977,2.7605500221,468,1,"E","Europe/Madrid","airport","OurAirports" 1223,"Federico Garcia Lorca Airport","Granada","Spain","GRX","LEGR",37.18870162963867,-3.777359962463379,1860,1,"E","Europe/Madrid","airport","OurAirports" 1224,"Getafe Air Base","Madrid","Spain",\N,"LEGT",40.29410171508789,-3.723829984664917,2031,1,"E","Europe/Madrid","airport","OurAirports" 1225,"Ibiza Airport","Ibiza","Spain","IBZ","LEIB",38.872898101800004,1.3731199502899998,24,1,"E","Europe/Madrid","airport","OurAirports" 1226,"Jerez Airport","Jerez","Spain","XRY","LEJR",36.744598388671875,-6.060110092163086,93,1,"E","Europe/Madrid","airport","OurAirports" 1227,"San Javier Airport","Murcia","Spain","MJV","LELC",37.775001525878906,-0.8123890161514282,11,1,"E","Europe/Madrid","airport","OurAirports" 1229,"Adolfo Suárez Madrid–Barajas Airport","Madrid","Spain","MAD","LEMD",40.471926,-3.56264,1998,1,"E","Europe/Madrid","airport","OurAirports" 1230,"Málaga Airport","Malaga","Spain","AGP","LEMG",36.67490005493164,-4.499110221862793,53,1,"E","Europe/Madrid","airport","OurAirports" 1231,"Menorca Airport","Menorca","Spain","MAH","LEMH",39.86259841918945,4.218649864196777,302,1,"E","Europe/Madrid","airport","OurAirports" 1232,"Moron Air Base","Sevilla","Spain","OZP","LEMO",37.17490005493164,-5.615940093994141,285,1,"E","Europe/Madrid","airport","OurAirports" 1233,"Ocaña Airport","Ocana","Spain",\N,"LEOC",39.9375,-3.5033299922943115,2405,1,"E","Europe/Madrid","airport","OurAirports" 1234,"Pamplona Airport","Pamplona","Spain","PNA","LEPP",42.77000045776367,-1.6463299989700317,1504,1,"E","Europe/Madrid","airport","OurAirports" 1235,"Alcantarilla Air Base","Murcia","Spain",\N,"LERI",37.951099,-1.23032,250,1,"E","Europe/Madrid","airport","OurAirports" 1236,"Reus Air Base","Reus","Spain","REU","LERS",41.14739990234375,1.1671700477600098,233,1,"E","Europe/Madrid","airport","OurAirports" 1237,"Rota Naval Station Airport","Rota","Spain","ROZ","LERT",36.645198822,-6.34946012497,86,1,"E","Europe/Madrid","airport","OurAirports" 1238,"Salamanca Airport","Salamanca","Spain","SLM","LESA",40.95209884643555,-5.501989841461182,2595,1,"E","Europe/Madrid","airport","OurAirports" 1239,"Son Bonet Airport","Son Bonet","Spain",\N,"LESB",39.598899841308594,2.70278000831604,157,1,"E","Europe/Madrid","airport","OurAirports" 1241,"San Luis Airport","San Luis","Spain",\N,"LESL",39.86220169067383,4.25832986831665,197,1,"E","Europe/Madrid","airport","OurAirports" 1242,"San Sebastian Airport","San Sebastian","Spain","EAS","LESO",43.35649871826172,-1.7906099557876587,16,1,"E","Europe/Madrid","airport","OurAirports" 1243,"Santiago de Compostela Airport","Santiago","Spain","SCQ","LEST",42.89630126953125,-8.415140151977539,1213,1,"E","Europe/Madrid","airport","OurAirports" 1244,"Pirineus - la Seu d'Urgel Airport","Seo De Urgel","Spain","LEU","LESU",42.3386,1.40917,2625,1,"E","Europe/Madrid","airport","OurAirports" 1245,"Torrejón Airport","Madrid","Spain","TOJ","LETO",40.496700286865234,-3.4458699226379395,2026,1,"E","Europe/Madrid","airport","OurAirports" 1246,"Valencia Airport","Valencia","Spain","VLC","LEVC",39.4893,-0.481625,240,1,"E","Europe/Madrid","airport","OurAirports" 1247,"Valladolid Airport","Valladolid","Spain","VLL","LEVD",41.7061004639,-4.85194015503,2776,1,"E","Europe/Madrid","airport","OurAirports" 1249,"Vitoria/Foronda Airport","Vitoria","Spain","VIT","LEVT",42.8828010559082,-2.7244699001312256,1682,1,"E","Europe/Madrid","airport","OurAirports" 1250,"Vigo Airport","Vigo","Spain","VGO","LEVX",42.2318000793457,-8.62677001953125,856,1,"E","Europe/Madrid","airport","OurAirports" 1251,"Santander Airport","Santander","Spain","SDR","LEXJ",43.427101135253906,-3.82000994682312,16,1,"E","Europe/Madrid","airport","OurAirports" 1252,"Zaragoza Air Base","Zaragoza","Spain","ZAZ","LEZG",41.66619873046875,-1.0415500402450562,863,1,"E","Europe/Madrid","airport","OurAirports" 1253,"Sevilla Airport","Sevilla","Spain","SVQ","LEZL",37.417999267578125,-5.8931097984313965,112,1,"E","Europe/Madrid","airport","OurAirports" 1254,"Calais-Dunkerque Airport","Calais","France","CQF","LFAC",50.962100982666016,1.954759955406189,12,1,"E","Europe/Paris","airport","OurAirports" 1255,"Péronne-Saint-Quentin Airport","Peronne","France",\N,"LFAG",49.8685,3.02958,295,1,"E","Europe/Paris","airport","OurAirports" 1256,"Nangis-Les Loges Airport","Nangis","France",\N,"LFAI",48.59619903564453,3.0067899227142334,428,1,"E","Europe/Paris","airport","OurAirports" 1257,"Bagnoles-de-l'Orne-Couterne Airport","Bagnole-de-l'orne","France",\N,"LFAO",48.545799255371094,-0.38744398951530457,718,1,"E","Europe/Paris","airport","OurAirports" 1258,"Albert-Bray Airport","Albert","France","BYF","LFAQ",49.9715003967,2.69765996933,364,1,"E","Europe/Paris","airport","OurAirports" 1259,"Le Touquet-Côte d'Opale Airport","Le Tourquet","France","LTQ","LFAT",50.517398834228516,1.6205899715423584,36,1,"E","Europe/Paris","airport","OurAirports" 1260,"Valenciennes-Denain Airport","Valenciennes","France","XVS","LFAV",50.325801849365234,3.4612600803375244,177,1,"E","Europe/Paris","airport","OurAirports" 1261,"Amiens-Glisy Airport","Amiens","France",\N,"LFAY",49.873004,2.387074,208,1,"E","Europe/Paris","airport","OurAirports" 1262,"Agen-La Garenne Airport","Agen","France","AGF","LFBA",44.17470169067383,0.5905560255050659,204,1,"E","Europe/Paris","airport","OurAirports" 1263,"Cazaux (BA 120) Air Base","Cazaux","France",\N,"LFBC",44.53329849243164,-1.125,84,1,"E","Europe/Paris","airport","OurAirports" 1264,"Bordeaux-Mérignac Airport","Bordeaux","France","BOD","LFBD",44.828300476100004,-0.715556025505,162,1,"E","Europe/Paris","airport","OurAirports" 1265,"Bergerac-Roumanière Airport","Bergerac","France","EGC","LFBE",44.82529830932617,0.5186110138893127,171,1,"E","Europe/Paris","airport","OurAirports" 1266,"Toulouse-Francazal (BA 101) Air Base","Toulouse","France",\N,"LFBF",43.54560089111328,1.3674999475479126,535,1,"E","Europe/Paris","airport","OurAirports" 1267,"Cognac-Châteaubernard (BA 709) Air Base","Cognac","France","CNG","LFBG",45.65829849243164,-0.3174999952316284,102,1,"E","Europe/Paris","airport","OurAirports" 1268,"Poitiers-Biard Airport","Poitiers","France","PIS","LFBI",46.58769989013672,0.30666598677635193,423,1,"E","Europe/Paris","airport","OurAirports" 1269,"Montluçon-Guéret Airport","Montlucon-gueret","France","MCU","LFBK",46.222599029541016,2.363960027694702,1497,1,"E","Europe/Paris","airport","OurAirports" 1270,"Limoges Airport","Limoges","France","LIG","LFBL",45.86280059814453,1.1794400215148926,1300,1,"E","Europe/Paris","airport","OurAirports" 1271,"Mont-de-Marsan (BA 118) Air Base","Mont-de-marsan","France",\N,"LFBM",43.911701,-0.5075,203,1,"E","Europe/Paris","airport","OurAirports" 1272,"Niort-Souché Airport","Niort","France","NIT","LFBN",46.313477,-0.394529,203,1,"E","Europe/Paris","airport","OurAirports" 1273,"Toulouse-Blagnac Airport","Toulouse","France","TLS","LFBO",43.629101,1.36382,499,1,"E","Europe/Paris","airport","OurAirports" 1274,"Pau Pyrénées Airport","Pau","France","PUF","LFBP",43.380001068115234,-0.41861099004745483,616,1,"E","Europe/Paris","airport","OurAirports" 1275,"Muret-Lherm Airport","La Rochelle","France",\N,"LFBR",43.44889831542969,1.2633299827575684,622,1,"E","Europe/Paris","airport","OurAirports" 1276,"Tarbes-Lourdes-Pyrénées Airport","Tarbes","France","LDE","LFBT",43.1786994934082,-0.006438999902456999,1260,1,"E","Europe/Paris","airport","OurAirports" 1277,"Angoulême-Brie-Champniers Airport","Angouleme","France","ANG","LFBU",45.72919845581055,0.22145600616931915,436,1,"E","Europe/Paris","airport","OurAirports" 1278,"Brive Souillac Airport","Brive","France","BVE","LFSL",45.039722,1.485556,1016,1,"E","Europe/Paris","airport","OurAirports" 1279,"Périgueux-Bassillac Airport","Perigueux","France","PGX","LFBX",45.19810104370117,0.815555989742279,328,1,"E","Europe/Paris","airport","OurAirports" 1280,"Biarritz-Anglet-Bayonne Airport","Biarritz-bayonne","France","BIQ","LFBZ",43.4683333,-1.5311111,245,1,"E","Europe/Paris","airport","OurAirports" 1281,"Cahors-Lalbenque Airport","Cahors","France","ZAO","LFCC",44.35139846801758,1.4752800464630127,912,1,"E","Europe/Paris","airport","OurAirports" 1282,"Saint-Girons-Antichan Airport","St.-girons","France",\N,"LFCG",43.0078010559082,1.1031500101089478,1368,1,"E","Europe/Paris","airport","OurAirports" 1283,"Arcachon-La Teste-de-Buch Airport","Arcachon","France",\N,"LFCH",44.596401,-1.11083,49,1,"E","Europe/Paris","airport","OurAirports" 1284,"Albi-Le Séquestre Airport","Albi","France","LBI","LFCI",43.91389846801758,2.1130599975585938,564,1,"E","Europe/Paris","airport","OurAirports" 1285,"Castres-Mazamet Airport","Castres","France","DCM","LFCK",43.55630111694336,2.289180040359497,788,1,"E","Europe/Paris","airport","OurAirports" 1286,"Toulouse-Lasbordes Airport","Toulouse","France",\N,"LFCL",43.58610153198242,1.499169945716858,459,1,"E","Europe/Paris","airport","OurAirports" 1287,"Millau-Larzac Airfield","Millau","France",\N,"LFCM",43.9893,3.183,2606,1,"E","Europe/Paris","airport","OurAirports" 1288,"Graulhet-Montdragon Airport","Graulhet","France",\N,"LFCQ",43.77109909057617,2.0108299255371094,581,1,"E","Europe/Paris","airport","OurAirports" 1289,"Rodez-Marcillac Airport","Rodez","France","RDZ","LFCR",44.407901763916016,2.4826700687408447,1910,1,"E","Europe/Paris","airport","OurAirports" 1290,"Ussel-Thalamy Airport","Ussel","France",\N,"LFCU",45.534698486328125,2.4238901138305664,2428,1,"E","Europe/Paris","airport","OurAirports" 1291,"Villeneuve-sur-Lot Airport","Villeneuve-sur-lot","France",\N,"LFCW",44.39690017700195,0.7588890194892883,190,1,"E","Europe/Paris","airport","OurAirports" 1292,"Royan-Médis Airport","Royan","France","RYN","LFCY",45.62810134887695,-0.9725000262260437,72,1,"E","Europe/Paris","airport","OurAirports" 1293,"Mimizan Airport","Mimizan","France",\N,"LFCZ",44.145928,-1.16432,164,1,"E","Europe/Paris","airport","OurAirports" 1294,"Aire-sur-l'Adour Airport","Aire-sur-l'adour","France",\N,"LFDA",43.70940017700195,-0.245278000831604,259,1,"E","Europe/Paris","airport","OurAirports" 1295,"Montauban Airport","Montauban","France","XMW","LFDB",44.025699615478516,1.3780399560928345,351,1,"E","Europe/Paris","airport","OurAirports" 1296,"Auch-Lamothe Airport","Auch","France",\N,"LFDH",43.687801,0.601667,411,1,"E","Europe/Paris","airport","OurAirports" 1297,"Libourne-Artigues-de-Lussac Airport","Libourne","France",\N,"LFDI",44.982498,-0.134722,157,1,"E","Europe/Paris","airport","OurAirports" 1298,"Pamiers-Les Pujols Airport","Pamiers","France",\N,"LFDJ",43.090599060058594,1.69582998752594,1115,1,"E","Europe/Paris","airport","OurAirports" 1299,"Marmande-Virazeil Airport","Marmande","France",\N,"LFDM",44.4989013671875,0.20051400363445282,105,1,"E","Europe/Paris","airport","OurAirports" 1300,"Rochefort-Saint-Agnant (BA 721) Airport","Rochefort","France","RCO","LFDN",45.88779830932617,-0.9830560088157654,60,1,"E","Europe/Paris","airport","OurAirports" 1301,"Pontivy Airport","Pontivy","France",\N,"LFED",48.05849838256836,-2.92182993888855,407,1,"E","Europe/Paris","airport","OurAirports" 1302,"Aubigny-sur-Nère Airport","Aubigny-sur-nere","France",\N,"LFEH",47.480556,2.394167,630,1,"E","Europe/Paris","airport","OurAirports" 1303,"Guiscriff Scaer Airport","Guiscriff-scaer","France",\N,"LFES",48.0525016784668,-3.664720058441162,574,1,"E","Europe/Paris","airport","OurAirports" 1305,"Ancenis Airport","Ancenis","France",\N,"LFFI",47.40810012817383,-1.1775000095367432,111,1,"E","Europe/Paris","airport","OurAirports" 1306,"Brienne-le-Château Airport","Brienne-le Chateau","France",\N,"LFFN",48.4297981262207,4.48222017288208,381,1,"E","Europe/Paris","airport","OurAirports" 1307,"Colmar-Houssen Airport","Colmar","France","CMR","LFGA",48.109901428222656,7.359010219573975,628,1,"E","Europe/Paris","airport","OurAirports" 1308,"Beaune-Challanges Airport","Beaune","France",\N,"LFGF",47.005901,4.89342,656,1,"E","Europe/Paris","airport","OurAirports" 1309,"Dole-Tavaux Airport","Dole","France","DLE","LFGJ",47.042686,5.435063,645,1,"E","Europe/Paris","airport","OurAirports" 1310,"Joigny Airport","Joigny","France",\N,"LFGK",47.9921989440918,3.3922200202941895,732,1,"E","Europe/Paris","airport","OurAirports" 1311,"Verdun-Le Rozelier Airfield","Verdun","France",\N,"LFGW",49.122398,5.46905,1230,1,"E","Europe/Paris","airport","OurAirports" 1312,"Aubenas-Ardèche Méridional Airport","Aubenas-vals-lanas","France","OBS","LFHO",44.544203,4.372192,923,1,"E","Europe/Paris","airport","OurAirports" 1313,"Le Puy-Loudes Airport","Le Puy","France","LPY","LFHP",45.0806999206543,3.762890100479126,2731,1,"E","Europe/Paris","airport","OurAirports" 1314,"Saint-Flour-Coltines Airport","St.-flour","France",\N,"LFHQ",45.07640075683594,2.99360990524292,3218,1,"E","Europe/Paris","airport","OurAirports" 1315,"Bourg-Ceyzériat Airport","Bourg","France",\N,"LFHS",46.20090103149414,5.292029857635498,857,1,"E","Europe/Paris","airport","OurAirports" 1316,"Villefranche-Tarare Airport","Vilefrance","France",\N,"LFHV",45.919983,4.634931,1076,1,"E","Europe/Paris","airport","OurAirports" 1317,"Moulins-Montbeugny Airport","Moulins","France",\N,"LFHY",46.53459930419922,3.423719882965088,915,1,"E","Europe/Paris","airport","OurAirports" 1318,"Saint-Affrique-Belmont Airport","St.-afrique-belmont","France",\N,"LFIF",43.823299407958984,2.7452800273895264,1686,1,"E","Europe/Paris","airport","OurAirports" 1319,"Cassagnes-Bégonhès Airport","Cassagnes-beghones","France",\N,"LFIG",44.177799224853516,2.515000104904175,2024,1,"E","Europe/Paris","airport","OurAirports" 1320,"Metz-Nancy-Lorraine Airport","Metz","France","ETZ","LFJL",48.9821014404,6.25131988525,870,1,"E","Europe/Paris","airport","OurAirports" 1321,"Bastia-Poretta Airport","Bastia","France","BIA","LFKB",42.55270004272461,9.48373031616211,26,1,"E","Europe/Paris","airport","OurAirports" 1322,"Calvi-Sainte-Catherine Airport","Calvi","France","CLY","LFKC",42.5244444,8.7930556,209,1,"E","Europe/Paris","airport","OurAirports" 1323,"Figari Sud-Corse Airport","Figari","France","FSC","LFKF",41.5005989074707,9.097780227661133,87,1,"E","Europe/Paris","airport","OurAirports" 1324,"Ajaccio-Napoléon Bonaparte Airport","Ajaccio","France","AJA","LFKJ",41.92359924316406,8.8029203414917,18,1,"E","Europe/Paris","airport","OurAirports" 1325,"Propriano Airport","Propriano","France","PRP","LFKO",41.66059875488281,8.889749526977539,13,1,"E","Europe/Paris","airport","OurAirports" 1326,"Solenzara (BA 126) Air Base","Solenzara","France","SOZ","LFKS",41.924400329589844,9.406000137329102,28,1,"E","Europe/Paris","airport","OurAirports" 1327,"Corte Airport","Corte","France",\N,"LFKT",42.29359817504883,9.193059921264648,1132,1,"E","Europe/Paris","airport","OurAirports" 1328,"Auxerre-Branches Airport","Auxerre","France","AUF","LFLA",47.85020065307617,3.497109889984131,523,1,"E","Europe/Paris","airport","OurAirports" 1329,"Chambéry-Savoie Airport","Chambery","France","CMF","LFLB",45.638099670410156,5.880229949951172,779,1,"E","Europe/Paris","airport","OurAirports" 1330,"Clermont-Ferrand Auvergne Airport","Clermont-Ferrand","France","CFE","LFLC",45.7867012024,3.1691699028,1090,1,"E","Europe/Paris","airport","OurAirports" 1331,"Bourges Airport","Bourges","France","BOU","LFLD",47.058101654052734,2.3702800273895264,529,1,"E","Europe/Paris","airport","OurAirports" 1332,"Chambéry-Challes-les-Eaux Airport","Chambery","France",\N,"LFLE",45.5611000061,5.975759983060001,973,1,"E","Europe/Paris","airport","OurAirports" 1333,"Chalon-Champforgeuil Airport","Chalon","France",\N,"LFLH",46.82609939575195,4.817629814147949,623,1,"E","Europe/Paris","airport","OurAirports" 1334,"Annemasse Airport","Annemasse","France","QNJ","LFLI",46.1920013428,6.268390178680001,1620,1,"E","Europe/Paris","airport","OurAirports" 1335,"Lyon Saint-Exupéry Airport","Lyon","France","LYS","LFLL",45.725556,5.081111,821,1,"E","Europe/Paris","airport","OurAirports" 1336,"Mâcon-Charnay Airport","Macon","France",\N,"LFLM",46.295101,4.79577,728,1,"E","Europe/Paris","airport","OurAirports" 1337,"Saint-Yan Airport","St.-yan","France","SYT","LFLN",46.412498474121094,4.0132598876953125,796,1,"E","Europe/Paris","airport","OurAirports" 1338,"Roanne-Renaison Airport","Roanne","France","RNE","LFLO",46.05830001831055,4.001389980316162,1106,1,"E","Europe/Paris","airport","OurAirports" 1339,"Annecy-Haute-Savoie-Mont Blanc Airport","Annecy","France","NCY","LFLP",45.9308333,6.1063889,1521,1,"E","Europe/Paris","airport","OurAirports" 1340,"Grenoble-Isère Airport","Grenoble","France","GNB","LFLS",45.36289978027344,5.329370021820068,1302,1,"E","Europe/Paris","airport","OurAirports" 1341,"Montluçon-Domérat Airport","Montlucon","France",\N,"LFLT",46.352501,2.57049,771,1,"E","Europe/Paris","airport","OurAirports" 1342,"Valence-Chabeuil Airport","Valence","France","VAF","LFLU",44.9216,4.9699,525,1,"E","Europe/Paris","airport","OurAirports" 1343,"Vichy-Charmeil Airport","Vichy","France","VHY","LFLV",46.169700622558594,3.4037399291992188,817,1,"E","Europe/Paris","airport","OurAirports" 1344,"Aurillac Airport","Aurillac","France","AUR","LFLW",44.89139938354492,2.4219400882720947,2096,1,"E","Europe/Paris","airport","OurAirports" 1345,"Châteauroux-Déols ""Marcel Dassault"" Airport","Chateauroux","France","CHR","LFLX",46.860278,1.721111,529,1,"E","Europe/Paris","airport","OurAirports" 1346,"Lyon-Bron Airport","Lyon","France","LYN","LFLY",45.72719955444336,4.944270133972168,659,1,"E","Europe/Paris","airport","OurAirports" 1347,"Aix-en-Provence (BA 114) Airport","Aix-les-milles","France",\N,"LFMA",43.5056,5.36778,367,1,"E","Europe/Paris","airport","OurAirports" 1348,"Le Luc-Le Cannet Airport","Le Luc","France",\N,"LFMC",43.384700775146484,6.387139797210693,265,1,"E","Europe/Paris","airport","OurAirports" 1349,"Cannes-Mandelieu Airport","Cannes","France","CEQ","LFMD",43.542,6.95348,13,1,"E","Europe/Paris","airport","OurAirports" 1350,"Saint-Étienne-Bouthéon Airport","St-Etienne","France","EBU","LFMH",45.54059982299805,4.296390056610107,1325,1,"E","Europe/Paris","airport","OurAirports" 1351,"Istres Le Tubé/Istres Air Base (BA 125) Airport","Istres","France",\N,"LFMI",43.522701,4.92384,82,1,"E","Europe/Paris","airport","OurAirports" 1352,"Carcassonne Airport","Carcassonne","France","CCF","LFMK",43.215999603271484,2.3063199520111084,433,1,"E","Europe/Paris","airport","OurAirports" 1353,"Marseille Provence Airport","Marseille","France","MRS","LFML",43.439271922,5.22142410278,74,1,"E","Europe/Paris","airport","OurAirports" 1354,"Nice-Côte d'Azur Airport","Nice","France","NCE","LFMN",43.6584014893,7.215869903560001,12,1,"E","Europe/Paris","airport","OurAirports" 1355,"Orange-Caritat (BA 115) Air Base","Orange","France","XOG","LFMO",44.140499114990234,4.866720199584961,197,1,"E","Europe/Paris","airport","OurAirports" 1356,"Perpignan-Rivesaltes (Llabanère) Airport","Perpignan","France","PGF","LFMP",42.74039840698242,2.8706700801849365,144,1,"E","Europe/Paris","airport","OurAirports" 1357,"Le Castellet Airport","Le Castellet","France","CTT","LFMQ",43.252498626708984,5.785190105438232,1391,1,"E","Europe/Paris","airport","OurAirports" 1358,"Alès-Deaux Airport","Ales","France",\N,"LFMS",44.069698,4.14212,668,1,"E","Europe/Paris","airport","OurAirports" 1359,"Montpellier-Méditerranée Airport","Montpellier","France","MPL","LFMT",43.57619857788086,3.96301007270813,17,1,"E","Europe/Paris","airport","OurAirports" 1360,"Béziers-Vias Airport","Beziers","France","BZR","LFMU",43.32350158691406,3.3538999557495117,56,1,"E","Europe/Paris","airport","OurAirports" 1361,"Avignon-Caumont Airport","Avignon","France","AVN","LFMV",43.90729904174805,4.901830196380615,124,1,"E","Europe/Paris","airport","OurAirports" 1362,"Salon-de-Provence (BA 701) Air Base","Salon","France",\N,"LFMY",43.60639953613281,5.109250068664551,195,1,"E","Europe/Paris","airport","OurAirports" 1363,"Lézignan-Corbières Airfield","Lezignan-corbieres","France",\N,"LFMZ",43.1758,2.73417,207,1,"E","Europe/Paris","airport","OurAirports" 1364,"Mende-Brenoux Airfield","Mende","France","MEN","LFNB",44.502102,3.53282,3362,1,"E","Europe/Paris","airport","OurAirports" 1365,"Carpentras Airport","Carpentras","France",\N,"LFNH",44.02980041503906,5.078060150146484,394,1,"E","Europe/Paris","airport","OurAirports" 1366,"Avord (BA 702) Air Base","Avord","France",\N,"LFOA",47.053299,2.6325,580,1,"E","Europe/Paris","airport","OurAirports" 1367,"Paris Beauvais Tillé Airport","Beauvais","France","BVA","LFOB",49.45439910888672,2.1127800941467285,359,1,"E","Europe/Paris","airport","OurAirports" 1368,"Châteaudun (BA 279) Air Base","Chateaudun","France",\N,"LFOC",48.058102,1.37662,433,1,"E","Europe/Paris","airport","OurAirports" 1369,"Saumur-Saint-Florent Airport","Saumur","France",\N,"LFOD",47.256802,-0.115142,269,1,"E","Europe/Paris","airport","OurAirports" 1370,"Évreux-Fauville (BA 105) Air Base","Evreux","France","EVX","LFOE",49.02870178222656,1.2198599576950073,464,1,"E","Europe/Paris","airport","OurAirports" 1371,"Le Havre Octeville Airport","Le Havre","France","LEH","LFOH",49.53390121459961,0.08805599808692932,313,1,"E","Europe/Paris","airport","OurAirports" 1372,"Abbeville","Abbeville","France","XAB","LFOI",50.143501,1.831891,220,1,"E","Europe/Paris","airport","OurAirports" 1373,"Orléans-Bricy (BA 123) Air Base","Orleans","France","ORE","LFOJ",47.9878005981,1.7605600357100002,412,1,"E","Europe/Paris","airport","OurAirports" 1374,"Châlons-Vatry Airport","Chalons","France","XCR","LFOK",48.7733333333,4.206111111,587,1,"E","Europe/Paris","airport","OurAirports" 1375,"Rouen Airport","Rouen","France","URO","LFOP",49.38420104980469,1.1748000383377075,512,1,"E","Europe/Paris","airport","OurAirports" 1376,"Tours-Val-de-Loire Airport","Tours","France","TUF","LFOT",47.4322013855,0.727605998516,357,1,"E","Europe/Paris","airport","OurAirports" 1377,"Cholet Le Pontreau Airport","Cholet","France","CET","LFOU",47.08209991455078,-0.8770639896392822,443,1,"E","Europe/Paris","airport","OurAirports" 1378,"Laval-Entrammes Airport","Laval","France","LVA","LFOV",48.03139877319336,-0.7429860234260559,330,1,"E","Europe/Paris","airport","OurAirports" 1379,"Orléans-Saint-Denis-de-l'Hôtel Airport","Orleans","France",\N,"LFOZ",47.8969,2.16333,396,1,"E","Europe/Paris","airport","OurAirports" 1380,"Paris-Le Bourget Airport","Paris","France","LBG","LFPB",48.969398498535156,2.441390037536621,218,1,"E","Europe/Paris","airport","OurAirports" 1381,"Creil Air Base","Creil","France","CSF","LFPC",49.253501892089844,2.5191400051116943,291,1,"E","Europe/Paris","airport","OurAirports" 1382,"Charles de Gaulle International Airport","Paris","France","CDG","LFPG",49.012798,2.55,392,1,"E","Europe/Paris","airport","OurAirports" 1383,"Coulommiers-Voisins Airport","Coulommiers","France",\N,"LFPK",48.83769989013672,3.016119956970215,470,1,"E","Europe/Paris","airport","OurAirports" 1384,"Melun-Villaroche Air Base","Melun","France",\N,"LFPM",48.604698181152344,2.6711199283599854,302,1,"E","Europe/Paris","airport","OurAirports" 1385,"Toussus-le-Noble Airport","Toussous-le-noble","France","TNF","LFPN",48.75189971923828,2.1061899662017822,538,1,"E","Europe/Paris","airport","OurAirports" 1386,"Paris-Orly Airport","Paris","France","ORY","LFPO",48.7233333,2.3794444,291,1,"E","Europe/Paris","airport","OurAirports" 1387,"Pontoise - Cormeilles-en-Vexin Airport","Pontoise","France","POX","LFPT",49.096667,2.040833,325,1,"E","Europe/Paris","airport","OurAirports" 1388,"Villacoublay-Vélizy (BA 107) Air Base","Villacoublay","France","VIY","LFPV",48.7741667,2.1916667,584,1,"E","Europe/Paris","airport","OurAirports" 1389,"Reims-Prunay Airport","Reims","France",\N,"LFQA",49.20869827270508,4.156579971313477,313,1,"E","Europe/Paris","airport","OurAirports" 1390,"Troyes-Barberey Airport","Troyes","France",\N,"LFQB",48.322102,4.0167,388,1,"E","Europe/Paris","airport","OurAirports" 1391,"Lunéville-Croismare Airport","Luneville","France",\N,"LFQC",48.593299865722656,6.543459892272949,790,1,"E","Europe/Paris","airport","OurAirports" 1392,"Étain-Rouvres Air Base","Etain","France",\N,"LFQE",49.226898193359375,5.672220230102539,770,1,"E","Europe/Paris","airport","OurAirports" 1393,"Autun-Bellevue Airport","Autun","France",\N,"LFQF",46.96730041503906,4.260570049285889,997,1,"E","Europe/Paris","airport","OurAirports" 1394,"Nevers-Fourchambault Airport","Nevers","France","NVS","LFQG",47.002601623535156,3.1133298873901367,602,1,"E","Europe/Paris","airport","OurAirports" 1395,"Cambrai-Épinoy (BA 103) Air Base","Cambrai","France",\N,"LFQI",50.221802,3.15424,257,1,"E","Europe/Paris","airport","OurAirports" 1396,"Maubeuge-Élesmes Airport","Maubeuge","France","XME","LFQJ",50.31050109863281,4.033120155334473,452,1,"E","Europe/Paris","airport","OurAirports" 1397,"Besançon-La Vèze Airport","Besancon-la-veze","France",\N,"LFQM",47.2066,6.083681,1271,1,"E","Europe/Paris","airport","OurAirports" 1398,"Phalsbourg-Bourscheid Air Base","Phalsbourg","France",\N,"LFQP",48.7680556,7.205,1017,1,"E","Europe/Paris","airport","OurAirports" 1399,"Lille-Lesquin Airport","Lille","France","LIL","LFQQ",50.563332,3.086886,157,1,"E","Europe/Paris","airport","OurAirports" 1400,"Merville-Calonne Airport","Merville","France","HZB","LFQT",50.61840057373047,2.642240047454834,61,1,"E","Europe/Paris","airport","OurAirports" 1401,"Charleville-Mézières Airport","Charleville","France","XCZ","LFQV",49.78390121459961,4.647079944610596,492,1,"E","Europe/Paris","airport","OurAirports" 1402,"Vesoul-Frotey Airport","Vesoul-frotey","France",\N,"LFQW",47.6376,6.20392,1249,1,"E","Europe/Paris","airport","OurAirports" 1403,"Brest Bretagne Airport","Brest","France","BES","LFRB",48.447898864746094,-4.418540000915527,325,1,"E","Europe/Paris","airport","OurAirports" 1404,"Cherbourg-Maupertus Airport","Cherbourg","France","CER","LFRC",49.65010070800781,-1.4702800512313843,459,1,"E","Europe/Paris","airport","OurAirports" 1405,"Dinard-Pleurtuit-Saint-Malo Airport","Dinard","France","DNR","LFRD",48.58769989013672,-2.0799601078033447,219,1,"E","Europe/Paris","airport","OurAirports" 1406,"La Baule-Escoublac Airport","La Baule","France","LBY","LFRE",47.289398193359375,-2.3463900089263916,105,1,"E","Europe/Paris","airport","OurAirports" 1407,"Granville Airport","Granville","France","GFR","LFRF",48.88309860229492,-1.564170002937317,45,1,"E","Europe/Paris","airport","OurAirports" 1408,"Deauville-Saint-Gatien Airport","Deauville","France","DOL","LFRG",49.3652992249,0.154305994511,479,1,"E","Europe/Paris","airport","OurAirports" 1409,"Lorient South Brittany (Bretagne Sud) Airport","Lorient","France","LRT","LFRH",47.76060104370117,-3.440000057220459,160,1,"E","Europe/Paris","airport","OurAirports" 1410,"La Roche-sur-Yon Airport","La Roche-sur-yon","France","EDM","LFRI",46.701900482177734,-1.3786300420761108,299,1,"E","Europe/Paris","airport","OurAirports" 1411,"Landivisiau Air Base","Landivisiau","France","LDV","LFRJ",48.53030014038086,-4.151639938354492,348,1,"E","Europe/Paris","airport","OurAirports" 1412,"Caen-Carpiquet Airport","Caen","France","CFR","LFRK",49.173301696777344,-0.44999998807907104,256,1,"E","Europe/Paris","airport","OurAirports" 1413,"Lanvéoc-Poulmic Air Base","Lanvedoc","France",\N,"LFRL",48.281700134277344,-4.4450201988220215,287,1,"E","Europe/Paris","airport","OurAirports" 1414,"Le Mans-Arnage Airport","Le Mans","France","LME","LFRM",47.94860076904297,0.20166699588298798,194,1,"E","Europe/Paris","airport","OurAirports" 1415,"Rennes-Saint-Jacques Airport","Rennes","France","RNS","LFRN",48.069499969499994,-1.73478996754,124,1,"E","Europe/Paris","airport","OurAirports" 1416,"Lannion-Côte de Granit Airport","Lannion","France","LAI","LFRO",48.754398,-3.47166,290,1,"E","Europe/Paris","airport","OurAirports" 1417,"Quimper-Cornouaille Airport","Quimper","France","UIP","LFRQ",47.974998474121094,-4.167789936065674,297,1,"E","Europe/Paris","airport","OurAirports" 1418,"Nantes Atlantique Airport","Nantes","France","NTE","LFRS",47.153198242200006,-1.61073005199,90,1,"E","Europe/Paris","airport","OurAirports" 1419,"Saint-Brieuc-Armor Airport","St.-brieuc Armor","France","SBK","LFRT",48.5378,-2.85444,453,1,"E","Europe/Paris","airport","OurAirports" 1420,"Morlaix-Ploujean Airport","Morlaix","France","MXN","LFRU",48.6031990051,-3.81577992439,272,1,"E","Europe/Paris","airport","OurAirports" 1421,"Vannes-Meucon Airport","Vannes","France","VNE","LFRV",47.72330093383789,-2.718559980392456,446,1,"E","Europe/Paris","airport","OurAirports" 1422,"Saint-Nazaire-Montoir Airport","St.-nazaire","France","SNR","LFRZ",47.3105556,-2.1566667,13,1,"E","Europe/Paris","airport","OurAirports" 1423,"EuroAirport Basel-Mulhouse-Freiburg Airport","Mulhouse","France","BSL","LFSB",47.59,7.5291667,885,1,"E","Europe/Paris","airport","OurAirports" 1424,"Colmar-Meyenheim Air Base","Colmar","France",\N,"LFSC",47.922000885,7.39967012405,693,1,"E","Europe/Paris","airport","OurAirports" 1425,"Dijon-Bourgogne Airport","Dijon","France","DIJ","LFSD",47.268902,5.09,726,1,"E","Europe/Paris","airport","OurAirports" 1426,"Metz-Frescaty (BA 128) Air Base","Metz","France","MZM","LFSF",49.07170104980469,6.131669998168945,629,1,"E","Europe/Paris","airport","OurAirports" 1427,"Épinal-Mirecourt Airport","Epinal","France","EPL","LFSG",48.325001,6.06998,1084,1,"E","Europe/Paris","airport","OurAirports" 1428,"Haguenau Airport","Haguenau","France",\N,"LFSH",48.7943000793,7.81760978699,491,1,"E","Europe/Paris","airport","OurAirports" 1429,"Saint-Dizier-Robinson (BA 113) Air Base","St.-dizier","France",\N,"LFSI",48.63600158691406,4.899419784545898,458,1,"E","Europe/Paris","airport","OurAirports" 1430,"Montbéliard-Courcelles Airfield","Montbeliard","France",\N,"LFSM",47.487,6.79054,1041,1,"E","Europe/Paris","airport","OurAirports" 1431,"Nancy-Essey Airport","Nancy","France","ENC","LFSN",48.692100524902344,6.230460166931152,751,1,"E","Europe/Paris","airport","OurAirports" 1432,"Nancy-Ochey (BA 133) Air Base","Nancy","France",\N,"LFSO",48.583099365234375,5.954999923706055,1106,1,"E","Europe/Paris","airport","OurAirports" 1433,"Pontarlier Airport","Pontarlier","France",\N,"LFSP",46.90399932861328,6.3273701667785645,2683,1,"E","Europe/Paris","airport","OurAirports" 1434,"Reims-Champagne (BA 112) Air Base","Reims","France","RHE","LFSR",49.310001,4.05,312,1,"E","Europe/Paris","airport","OurAirports" 1435,"Strasbourg Airport","Strasbourg","France","SXB","LFST",48.538299560546875,7.628230094909668,505,1,"E","Europe/Paris","airport","OurAirports" 1436,"Luxeuil-Saint-Sauveur (BA 116) Air Base","Luxeuil","France",\N,"LFSX",47.7830556,6.36416667,913,1,"E","Europe/Paris","airport","OurAirports" 1437,"Cuers-Pierrefeu Airport","Cuers","France",\N,"LFTF",43.247798919677734,6.126699924468994,266,1,"E","Europe/Paris","airport","OurAirports" 1438,"Toulon-Hyères Airport","Hyeres","France","TLN","LFTH",43.0973014832,6.14602994919,7,1,"E","Europe/Paris","airport","OurAirports" 1439,"Nîmes-Arles-Camargue Airport","Nimes","France","FNI","LFTW",43.75740051269531,4.4163498878479,309,1,"E","Europe/Paris","airport","OurAirports" 1440,"Miquelon Airport","Miquelon","Saint Pierre and Miquelon","MQC","LFVM",47.095500946,-56.3802986145,10,-3,"U","America/Miquelon","airport","OurAirports" 1441,"St Pierre Airport","St.-pierre","Saint Pierre and Miquelon","FSP","LFVP",46.762901306152344,-56.173099517822266,27,-3,"U","America/Miquelon","airport","OurAirports" 1442,"Ambérieu Air Base (BA 278)","Amberieu","France",\N,"LFXA",45.987301,5.32844,823,1,"E","Europe/Paris","airport","OurAirports" 1443,"Damblain Airport","Damblain","France",\N,"LFYD",48.086299896240234,5.664060115814209,1280,1,"E","Europe/Paris","airport","OurAirports" 1444,"Andravida Air Base","Andravida","Greece","PYR","LGAD",37.9207,21.292601,55,2,"E","Europe/Athens","airport","OurAirports" 1445,"Agrinion Air Base","Agrinion","Greece","AGQ","LGAG",38.602001,21.3512001,154,2,"E","Europe/Athens","airport","OurAirports" 1446,"Dimokritos Airport","Alexandroupolis","Greece","AXD","LGAL",40.855899810791016,25.956300735473633,24,2,"E","Europe/Athens","airport","OurAirports" 1447,"Alexandria Airport","Alexandria","Greece",\N,"LGAX",40.651100158691406,22.48870086669922,27,2,"E","Europe/Athens","airport","OurAirports" 1448,"Nea Anchialos Airport","Nea Anghialos","Greece","VOL","LGBL",39.219600677490234,22.794300079345703,83,2,"E","Europe/Athens","airport","OurAirports" 1449,"Elefsis Airport","Elefsis","Greece",\N,"LGEL",38.06380081176758,23.555999755859375,143,2,"E","Europe/Athens","airport","OurAirports" 1450,"Chios Island National Airport","Chios","Greece","JKH","LGHI",38.34320068359375,26.140600204467773,15,2,"E","Europe/Athens","airport","OurAirports" 1451,"Ioannina Airport","Ioannina","Greece","IOA","LGIO",39.6963996887207,20.822500228881836,1558,2,"E","Europe/Athens","airport","OurAirports" 1452,"Heraklion International Nikos Kazantzakis Airport","Heraklion","Greece","HER","LGIR",35.3396987915,25.180299758900002,115,2,"E","Europe/Athens","airport","OurAirports" 1453,"Kastoria National Airport","Kastoria","Greece","KSO","LGKA",40.4463005066,21.2821998596,2167,2,"E","Europe/Athens","airport","OurAirports" 1454,"Kithira Airport","Kithira","Greece","KIT","LGKC",36.2742996216,23.0170001984,1045,2,"E","Europe/Athens","airport","OurAirports" 1455,"Kefallinia Airport","Keffallinia","Greece","EFL","LGKF",38.12009811401367,20.500499725341797,59,2,"E","Europe/Athens","airport","OurAirports" 1456,"Kalamata Airport","Kalamata","Greece","KLX","LGKL",37.06829833984375,22.02549934387207,26,2,"E","Europe/Athens","airport","OurAirports" 1457,"Amigdhaleon Airport","Kavala","Greece",\N,"LGKM",40.972801208496094,24.341400146484375,203,2,"E","Europe/Athens","airport","OurAirports" 1458,"Kos Airport","Kos","Greece","KGS","LGKO",36.79330062866211,27.091699600219727,412,2,"E","Europe/Athens","airport","OurAirports" 1459,"Karpathos Airport","Karpathos","Greece","AOK","LGKP",35.4213981628418,27.145999908447266,66,2,"E","Europe/Athens","airport","OurAirports" 1460,"Ioannis Kapodistrias International Airport","Kerkyra/corfu","Greece","CFU","LGKR",39.601898193359375,19.911699295043945,6,2,"E","Europe/Athens","airport","OurAirports" 1461,"Kasos Airport","Kasos","Greece","KSJ","LGKS",35.4213981628,26.909999847399998,35,2,"E","Europe/Athens","airport","OurAirports" 1462,"Alexander the Great International Airport","Kavala","Greece","KVA","LGKV",40.913299560546875,24.619199752807617,18,2,"E","Europe/Athens","airport","OurAirports" 1463,"Filippos Airport","Kozani","Greece","KZI","LGKZ",40.28609848022461,21.84079933166504,2059,2,"E","Europe/Athens","airport","OurAirports" 1464,"Leros Airport","Leros","Greece","LRS","LGLE",37.184898,26.800301,39,2,"E","Europe/Athens","airport","OurAirports" 1465,"Limnos Airport","Limnos","Greece","LXS","LGLM",39.917098999,25.236299514799995,14,2,"E","Europe/Athens","airport","OurAirports" 1466,"Larisa Airport","Larissa","Greece","LRA","LGLR",39.650253,22.4655,241,2,"E","Europe/Athens","airport","OurAirports" 1467,"Megara Airport","Megara","Greece",\N,"LGMG",37.98109817504883,23.365400314331055,12,2,"E","Europe/Athens","airport","OurAirports" 1468,"Mikonos Airport","Mykonos","Greece","JMK","LGMK",37.43510055541992,25.348100662231445,405,2,"E","Europe/Athens","airport","OurAirports" 1469,"Mytilene International Airport","Mytilini","Greece","MJT","LGMT",39.0567016602,26.5983009338,60,2,"E","Europe/Athens","airport","OurAirports" 1470,"Aktion National Airport","Preveza","Greece","PVK","LGPZ",38.925498962402344,20.765300750732422,11,2,"E","Europe/Athens","airport","OurAirports" 1471,"Maritsa Airport","Rhodos","Greece",\N,"LGRD",36.38309860229492,28.10890007019043,204,2,"E","Europe/Athens","airport","OurAirports" 1472,"Diagoras Airport","Rhodos","Greece","RHO","LGRP",36.405399322509766,28.086200714111328,17,2,"E","Europe/Athens","airport","OurAirports" 1473,"Araxos Airport","Patras","Greece","GPA","LGRX",38.1511,21.4256,46,2,"E","Europe/Athens","airport","OurAirports" 1474,"Chania International Airport","Chania","Greece","CHQ","LGSA",35.531700134277344,24.149700164794922,490,2,"E","Europe/Athens","airport","OurAirports" 1475,"Skiathos Island National Airport","Skiathos","Greece","JSI","LGSK",39.177101135253906,23.503700256347656,54,2,"E","Europe/Athens","airport","OurAirports" 1476,"Samos Airport","Samos","Greece","SMI","LGSM",37.689998626708984,26.911699295043945,19,2,"E","Europe/Athens","airport","OurAirports" 1478,"Sparti Airport","Sparti","Greece","SPJ","LGSP",36.973899841308594,22.52630043029785,500,2,"E","Europe/Athens","airport","OurAirports" 1479,"Santorini Airport","Thira","Greece","JTR","LGSR",36.399200439453125,25.479299545288086,127,2,"E","Europe/Athens","airport","OurAirports" 1480,"Sitia Airport","Sitia","Greece","JSH","LGST",35.21609878540039,26.101299285888672,376,2,"E","Europe/Athens","airport","OurAirports" 1481,"Stefanovikion Air Base","Stefanovikion","Greece",\N,"LGSV",39.48,22.7672,146,2,"E","Europe/Athens","airport","OurAirports" 1482,"Skiros Airport","Skiros","Greece","SKU","LGSY",38.9676017761,24.4871997833,44,2,"E","Europe/Athens","airport","OurAirports" 1483,"Tanagra Air Base","Tanagra","Greece",\N,"LGTG",38.339802,23.565001,485,2,"E","Europe/Athens","airport","OurAirports" 1484,"Kasteli Airport","Kasteli","Greece",\N,"LGTL",35.192001,25.327,1180,2,"E","Europe/Athens","airport","OurAirports" 1485,"Tripolis Airport","Tripolis","Greece",\N,"LGTP",37.530601501464844,22.403600692749023,2113,2,"E","Europe/Athens","airport","OurAirports" 1486,"Thessaloniki Macedonia International Airport","Thessaloniki","Greece","SKG","LGTS",40.51969909667969,22.97089958190918,22,2,"E","Europe/Athens","airport","OurAirports" 1487,"Tatoi Airport","Dekelia","Greece",\N,"LGTT",38.1088981628418,23.78380012512207,785,2,"E","Europe/Athens","airport","OurAirports" 1488,"Zakynthos International Airport ""Dionysios Solomos""","Zakynthos","Greece","ZTH","LGZA",37.7509,20.8843,15,2,"E","Europe/Athens","airport","OurAirports" 1489,"Budapest Liszt Ferenc International Airport","Budapest","Hungary","BUD","LHBP",47.42976,19.261093,495,1,"E","Europe/Budapest","airport","OurAirports" 1490,"Debrecen International Airport","Debrecen","Hungary","DEB","LHDC",47.48889923095703,21.615299224853516,359,1,"E","Europe/Budapest","airport","OurAirports" 1491,"Kecskemét Airport","Kecskemet","Hungary",\N,"LHKE",46.91749954223633,19.74920082092285,376,1,"E","Europe/Budapest","airport","OurAirports" 1492,"Nyíregyháza Airport","Nyirregyhaza","Hungary",\N,"LHNY",47.9838981628418,21.69230079650879,338,1,"E","Europe/Budapest","airport","OurAirports" 1493,"Åcsény Airport","Ocseny","Hungary",\N,"LHOY",46.30390167236328,18.76919937133789,295,1,"E","Europe/Budapest","airport","OurAirports" 1496,"Szentkirályszabadja Airport","Azentkilyszabadja","Hungary",\N,"LHSA",47.07789993286133,17.968399047851562,919,1,"E","Europe/Budapest","airport","OurAirports" 1498,"Szolnok Air Base","Szolnok","Hungary",\N,"LHSN",47.122897,20.2355,322,1,"E","Europe/Budapest","airport","OurAirports" 1499,"Amendola Air Base","Amendola","Italy",\N,"LIBA",41.541401,15.7181,183,1,"E","Europe/Rome","airport","OurAirports" 1500,"Crotone Airport","Crotone","Italy","CRV","LIBC",38.9972,17.0802,522,1,"E","Europe/Rome","airport","OurAirports" 1501,"Bari Karol WojtyÅ‚a Airport","Bari","Italy","BRI","LIBD",41.138901,16.760599,177,1,"E","Europe/Rome","airport","OurAirports" 1502,"Foggia ""Gino Lisa"" Airport","Foggia","Italy","FOG","LIBF",41.432899,15.535,265,1,"E","Europe/Rome","airport","OurAirports" 1503,"Taranto-Grottaglie ""Marcello Arlotta"" Airport","Grottaglie","Italy","TAR","LIBG",40.517502,17.4032,215,1,"E","Europe/Rome","airport","OurAirports" 1504,"Lecce Galatina Air Base","Lecce","Italy","LCC","LIBN",40.239201,18.133301,156,1,"E","Europe/Rome","airport","OurAirports" 1505,"Pescara International Airport","Pescara","Italy","PSR","LIBP",42.431702,14.1811,48,1,"E","Europe/Rome","airport","OurAirports" 1506,"Brindisi – Salento Airport","Brindisi","Italy","BDS","LIBR",40.6576,17.947001,47,1,"E","Europe/Rome","airport","OurAirports" 1507,"Gioia Del Colle Air Base","Gioia Del Colle","Italy",\N,"LIBV",40.767799,16.9333,1187,1,"E","Europe/Rome","airport","OurAirports" 1508,"Lamezia Terme Airport","Lamezia","Italy","SUF","LICA",38.905399,16.2423,39,1,"E","Europe/Rome","airport","OurAirports" 1509,"Catania-Fontanarossa Airport","Catania","Italy","CTA","LICC",37.466801,15.0664,39,1,"E","Europe/Rome","airport","OurAirports" 1510,"Lampedusa Airport","Lampedusa","Italy","LMP","LICD",35.497898,12.6181,70,1,"E","Europe/Rome","airport","OurAirports" 1511,"Pantelleria Airport","Pantelleria","Italy","PNL","LICG",36.816502,11.9689,628,1,"E","Europe/Rome","airport","OurAirports" 1512,"Falcone–Borsellino Airport","Palermo","Italy","PMO","LICJ",38.175999,13.091,65,1,"E","Europe/Rome","airport","OurAirports" 1513,"Palermo-Boccadifalco Airport","Palermo","Italy",\N,"LICP",38.110802,13.3133,345,1,"E","Europe/Rome","airport","OurAirports" 1514,"Reggio Calabria Airport","Reggio Calabria","Italy","REG","LICR",38.071201,15.6516,96,1,"E","Europe/Rome","airport","OurAirports" 1515,"Vincenzo Florio Airport Trapani-Birgi","Trapani","Italy","TPS","LICT",37.9114,12.488,25,1,"E","Europe/Rome","airport","OurAirports" 1516,"Sigonella Navy Air Base","Sigonella","Italy","NSY","LICZ",37.401699,14.9224,79,1,"E","Europe/Rome","airport","OurAirports" 1517,"Alghero-Fertilia Airport","Alghero","Italy","AHO","LIEA",40.632099,8.29077,87,1,"E","Europe/Rome","airport","OurAirports" 1518,"Decimomannu Air Base","Decimomannu","Italy","DCI","LIED",39.354198,8.97248,100,1,"E","Europe/Rome","airport","OurAirports" 1519,"Cagliari Elmas Airport","Cagliari","Italy","CAG","LIEE",39.251499,9.05428,13,1,"E","Europe/Rome","airport","OurAirports" 1520,"Olbia Costa Smeralda Airport","Olbia","Italy","OLB","LIEO",40.898701,9.51763,37,1,"E","Europe/Rome","airport","OurAirports" 1521,"Tortolì Airport","Tortoli","Italy","TTB","LIET",39.9188,9.68298,23,1,"E","Europe/Rome","airport","OurAirports" 1522,"Torino-Aeritalia Airport","Turin","Italy",\N,"LIMA",45.086399,7.60337,943,1,"E","Europe/Rome","airport","OurAirports" 1523,"Milano-Bresso Airfield","Milano","Italy",\N,"LIMB",45.542198,9.20333,484,1,"E","Europe/Rome","airport","OurAirports" 1524,"Malpensa International Airport","Milano","Italy","MXP","LIMC",45.6306,8.72811,768,1,"E","Europe/Rome","airport","OurAirports" 1525,"Il Caravaggio International Airport","Bergamo","Italy","BGY","LIME",45.673901,9.70417,782,1,"E","Europe/Rome","airport","OurAirports" 1526,"Turin Airport","Torino","Italy","TRN","LIMF",45.200802,7.64963,989,1,"E","Europe/Rome","airport","OurAirports" 1527,"Villanova D'Albenga International Airport","Albenga","Italy","ALL","LIMG",44.050598,8.12743,148,1,"E","Europe/Rome","airport","OurAirports" 1528,"Genoa Cristoforo Colombo Airport","Genoa","Italy","GOA","LIMJ",44.4133,8.8375,13,1,"E","Europe/Rome","airport","OurAirports" 1529,"Milano Linate Airport","Milan","Italy","LIN","LIML",45.445099,9.27674,353,1,"E","Europe/Rome","airport","OurAirports" 1530,"Cameri Air Base [MIL]","Cameri","Italy",\N,"LIMN",45.529598,8.66922,586,1,"E","Europe/Rome","airport","OurAirports" 1531,"Parma Airport","Parma","Italy","PMF","LIMP",44.824501,10.2964,161,1,"E","Europe/Rome","airport","OurAirports" 1532,"Piacenza San Damiano Air Base","Piacenza","Italy",\N,"LIMS",44.913102,9.723322,456,1,"E","Europe/Rome","airport","OurAirports" 1534,"Cuneo International Airport","Cuneo","Italy","CUF","LIMZ",44.547001,7.62322,1267,1,"E","Europe/Rome","airport","OurAirports" 1535,"Aviano Air Base","Aviano","Italy","AVB","LIPA",46.031898,12.596503,410,1,"E","Europe/Rome","airport","OurAirports" 1536,"Bolzano Airport","Bolzano","Italy","BZO","LIPB",46.460201,11.3264,789,1,"E","Europe/Rome","airport","OurAirports" 1537,"Cervia Air Base","Cervia","Italy",\N,"LIPC",44.224201,12.3072,18,1,"E","Europe/Rome","airport","OurAirports" 1538,"Bologna Guglielmo Marconi Airport","Bologna","Italy","BLQ","LIPE",44.5354,11.2887,123,1,"E","Europe/Rome","airport","OurAirports" 1539,"Treviso-Sant'Angelo Airport","Treviso","Italy","TSF","LIPH",45.648399,12.1944,59,1,"E","Europe/Rome","airport","OurAirports" 1540,"Rivolto Air Base","Rivolto","Italy",\N,"LIPI",45.978699,13.0493,179,1,"E","Europe/Rome","airport","OurAirports" 1541,"Forlì Airport","Forli","Italy","FRL","LIPK",44.194801,12.0701,97,1,"E","Europe/Rome","airport","OurAirports" 1542,"Ghedi Air Base","Ghedi","Italy",\N,"LIPL",45.432201,10.2677,333,1,"E","Europe/Rome","airport","OurAirports" 1543,"Verona-Boscomantico Airport","Verona","Italy",\N,"LIPN",45.472,10.9279,286,1,"E","Europe/Rome","airport","OurAirports" 1544,"Brescia Airport","Brescia","Italy","VBS","LIPO",45.428902,10.3306,355,1,"E","Europe/Rome","airport","OurAirports" 1545,"Trieste–Friuli Venezia Giulia Airport","Ronchi De Legionari","Italy","TRS","LIPQ",45.827499,13.4722,39,1,"E","Europe/Rome","airport","OurAirports" 1546,"Federico Fellini International Airport","Rimini","Italy","RMI","LIPR",44.020302,12.6117,40,1,"E","Europe/Rome","airport","OurAirports" 1547,"Istrana Air Base","Treviso","Italy",\N,"LIPS",45.684898,12.0829,137,1,"E","Europe/Rome","airport","OurAirports" 1548,"Vicenza Airport","Vicenza","Italy","VIC","LIPT",45.573399,11.5295,128,1,"E","Europe/Rome","airport","OurAirports" 1549,"Padova Airport","Padova","Italy","QPA","LIPU",45.395802,11.8479,44,1,"E","Europe/Rome","airport","OurAirports" 1550,"Verona Villafranca Airport","Villafranca","Italy","VRN","LIPX",45.395699,10.8885,239,1,"E","Europe/Rome","airport","OurAirports" 1551,"Venice Marco Polo Airport","Venice","Italy","VCE","LIPZ",45.505299,12.3519,7,1,"E","Europe/Rome","airport","OurAirports" 1552,"Siena-Ampugnano Airport","Siena","Italy","SAY","LIQS",43.256302,11.255,634,1,"E","Europe/Rome","airport","OurAirports" 1553,"Ciampino–G. B. Pastine International Airport","Rome","Italy","CIA","LIRA",41.7994,12.5949,427,1,"E","Europe/Rome","airport","OurAirports" 1554,"Pratica Di Mare Air Base","Pratica Di Mare","Italy",\N,"LIRE",41.654499,12.4452,41,1,"E","Europe/Rome","airport","OurAirports" 1555,"Leonardo da Vinci–Fiumicino Airport","Rome","Italy","FCO","LIRF",41.8002778,12.2388889,13,1,"E","Europe/Rome","airport","OurAirports" 1556,"Guidonia Air Base","Guidonia","Italy",\N,"LIRG",41.990299,12.7408,289,1,"E","Europe/Rome","airport","OurAirports" 1558,"Marina Di Campo Airport","Marina Di Campo","Italy","EBA","LIRJ",42.7603,10.2394,31,1,"E","Europe/Rome","airport","OurAirports" 1559,"Latina Air Base","Latina","Italy","QLT","LIRL",41.5424,12.909,94,1,"E","Europe/Rome","airport","OurAirports" 1560,"Grazzanise Air Base","Grazzanise","Italy",\N,"LIRM",41.060799,14.0819,29,1,"E","Europe/Rome","airport","OurAirports" 1561,"Naples International Airport","Naples","Italy","NAP","LIRN",40.886002,14.2908,294,1,"E","Europe/Rome","airport","OurAirports" 1562,"Pisa International Airport","Pisa","Italy","PSA","LIRP",43.683899,10.3927,6,1,"E","Europe/Rome","airport","OurAirports" 1563,"Peretola Airport","Florence","Italy","FLR","LIRQ",43.810001,11.2051,142,1,"E","Europe/Rome","airport","OurAirports" 1564,"Grosseto Air Base","Grosseto","Italy","GRS","LIRS",42.759701,11.0719,17,1,"E","Europe/Rome","airport","OurAirports" 1565,"Urbe Airport","Rome","Italy",\N,"LIRU",41.9519,12.4989,55,1,"E","Europe/Rome","airport","OurAirports" 1566,"Viterbo Airport","Viterbo","Italy",\N,"LIRV",42.430199,12.0642,992,1,"E","Europe/Rome","airport","OurAirports" 1567,"Perugia San Francesco d'Assisi – Umbria International Airport","Perugia","Italy","PEG","LIRZ",43.095901,12.5132,697,1,"E","Europe/Rome","airport","OurAirports" 1568,"Cerklje Airport","Cerklje","Slovenia",\N,"LJCE",45.900001525879,15.530200004578,510,1,"E","Europe/Ljubljana","airport","OurAirports" 1569,"Ljubljana Jože PuÄnik Airport","Ljubljana","Slovenia","LJU","LJLJ",46.223701,14.4576,1273,1,"E","Europe/Ljubljana","airport","OurAirports" 1570,"Maribor Airport","Maribor","Slovenia","MBX","LJMB",46.47990036010742,15.686100006103516,876,1,"E","Europe/Ljubljana","airport","OurAirports" 1571,"Portoroz Airport","Portoroz","Slovenia","POW","LJPZ",45.4734001159668,13.614999771118164,7,1,"E","Europe/Ljubljana","airport","OurAirports" 1572,"Slovenj Gradec Airport","Slovenj Gradec","Slovenia",\N,"LJSG",46.47200012207031,15.116999626159668,1645,1,"E","Europe/Ljubljana","airport","OurAirports" 1573,"ÄŒeské BudÄ›jovice Airport","Ceske Budejovice","Czech Republic",\N,"LKCS",48.9463996887207,14.427499771118164,1417,1,"E","Europe/Prague","airport","OurAirports" 1574,"Čáslav Air Base","Caslav","Czech Republic",\N,"LKCV",49.939701080322266,15.381799697875977,794,1,"E","Europe/Prague","airport","OurAirports" 1575,"Hradec Králové Airport","Hradec Kralove","Czech Republic",\N,"LKHK",50.253201,15.8452,791,1,"E","Europe/Prague","airport","OurAirports" 1576,"HoÅ™ovice Airport","Horovice","Czech Republic",\N,"LKHV",49.84809875488281,13.893500328063965,1214,1,"E","Europe/Prague","airport","OurAirports" 1577,"Kbely Air Base","Praha","Czech Republic",\N,"LKKB",50.12139892578125,14.543600082397461,939,1,"E","Europe/Prague","airport","OurAirports" 1578,"Kunovice Airport","Kunovice","Czech Republic","UHE","LKKU",49.02939987182617,17.439699172973633,581,1,"E","Europe/Prague","airport","OurAirports" 1579,"Karlovy Vary International Airport","Karlovy Vary","Czech Republic","KLV","LKKV",50.202999114990234,12.914999961853027,1989,1,"E","Europe/Prague","airport","OurAirports" 1580,"Plzeň-LínÄ› Airport","Line","Czech Republic",\N,"LKLN",49.675201416016,13.274600028992,1188,1,"E","Europe/Prague","airport","OurAirports" 1581,"Mnichovo HradiÅ¡tÄ› Airport","Mnichovo Hradiste","Czech Republic",\N,"LKMH",50.540199279785156,15.006600379943848,800,1,"E","Europe/Prague","airport","OurAirports" 1582,"Ostrava Leos JanáÄek Airport","Ostrava","Czech Republic","OSR","LKMT",49.6963005065918,18.111099243164062,844,1,"E","Europe/Prague","airport","OurAirports" 1583,"Náměšť Air Base","Namest","Czech Republic",\N,"LKNA",49.16579818725586,16.124900817871094,1548,1,"E","Europe/Prague","airport","OurAirports" 1584,"Pardubice Airport","Pardubice","Czech Republic","PED","LKPD",50.01340103149414,15.73859977722168,741,1,"E","Europe/Prague","airport","OurAirports" 1585,"Pribram Airport","Pribram","Czech Republic",\N,"LKPM",49.7201,14.1006,1529,1,"E","Europe/Prague","airport","OurAirports" 1586,"PÅ™erov Air Base","Prerov","Czech Republic","PRV","LKPO",49.42580032348633,17.404699325561523,676,1,"E","Europe/Prague","airport","OurAirports" 1587,"Václav Havel Airport Prague","Prague","Czech Republic","PRG","LKPR",50.1008,14.26,1247,1,"E","Europe/Prague","airport","OurAirports" 1588,"Brno-TuÅ™any Airport","Brno","Czech Republic","BRQ","LKTB",49.15129852294922,16.694400787353516,778,1,"E","Europe/Prague","airport","OurAirports" 1589,"Vodochody Airport","Vodochody","Czech Republic","VOD","LKVO",50.216599,14.3958,919,1,"E","Europe/Prague","airport","OurAirports" 1590,"Ben Gurion International Airport","Tel-aviv","Israel","TLV","LLBG",32.01139831542969,34.88669967651367,135,2,"E","Asia/Jerusalem","airport","OurAirports" 1591,"Beersheba (Teyman) Airport","Beer-sheba","Israel","BEV","LLBS",31.287000656128,34.722999572754,656,2,"E","Asia/Jerusalem","airport","OurAirports" 1592,"Tel Nof Air Base","Tel-nof","Israel",\N,"LLEK",31.8395004272,34.8218002319,193,2,"E","Asia/Jerusalem","airport","OurAirports" 1593,"Ein Shemer Airfield","Eyn-shemer","Israel",\N,"LLES",32.440799713134766,35.0077018737793,95,2,"E","Asia/Jerusalem","airport","OurAirports" 1594,"Eilat Airport","Elat","Israel","ETH","LLET",29.56130027770996,34.96009826660156,42,2,"E","Asia/Jerusalem","airport","OurAirports" 1595,"Ein Yahav Airfield","Eyn-yahav","Israel","EIY","LLEY",30.621700286865234,35.20330047607422,-164,2,"E","Asia/Jerusalem","airport","OurAirports" 1596,"Haifa International Airport","Haifa","Israel","HFA","LLHA",32.80939865112305,35.04309844970703,28,2,"E","Asia/Jerusalem","airport","OurAirports" 1597,"Hatzor Air Base","Haztor","Israel",\N,"LLHS",31.7625007629,34.727199554399995,148,2,"E","Asia/Jerusalem","airport","OurAirports" 1598,"Ben Ya'akov Airport","Rosh Pina","Israel","RPN","LLIB",32.98099899291992,35.5718994140625,922,2,"E","Asia/Jerusalem","airport","OurAirports" 1599,"Megiddo Airport","Megido Airstrip","Israel",\N,"LLMG",32.5973014831543,35.22880172729492,200,2,"E","Asia/Jerusalem","airport","OurAirports" 1600,"Bar Yehuda Airfield","Metzada","Israel","MTZ","LLMZ",31.32819938659668,35.38859939575195,-1266,2,"E","Asia/Jerusalem","airport","OurAirports" 1601,"Nevatim Air Base","Nevatim","Israel","VTM","LLNV",31.208299636799996,35.012298584,1330,2,"E","Asia/Jerusalem","airport","OurAirports" 1602,"Ovda International Airport","Ovda","Israel","VDA","LLOV",29.94029998779297,34.93579864501953,1492,2,"E","Asia/Jerusalem","airport","OurAirports" 1603,"Ramat David Air Base","Ramat David","Israel",\N,"LLRD",32.66510009765625,35.179500579833984,185,2,"E","Asia/Jerusalem","airport","OurAirports" 1604,"Ramon Air Base","Ramon","Israel","MIP","LLRM",30.776100158691406,34.66669845581055,2126,2,"E","Asia/Jerusalem","airport","OurAirports" 1605,"Sde Dov Airport","Tel-aviv","Israel","SDV","LLSD",32.11470031738281,34.78219985961914,43,2,"E","Asia/Jerusalem","airport","OurAirports" 1606,"Malta International Airport","Malta","Malta","MLA","LMML",35.857498,14.4775,300,1,"E","Europe/Malta","airport","OurAirports" 1607,"Wiener Neustadt East Airport","Wiener Neustadt Ost","Austria",\N,"LOAN",47.843299865722656,16.260099411010742,896,1,"E","Europe/Vienna","airport","OurAirports" 1608,"Wels Airport","Wels","Austria",\N,"LOLW",48.18330001831055,14.040900230407715,1043,1,"E","Europe/Vienna","airport","OurAirports" 1609,"Graz Airport","Graz","Austria","GRZ","LOWG",46.9911003112793,15.439599990844727,1115,1,"E","Europe/Vienna","airport","OurAirports" 1610,"Innsbruck Airport","Innsbruck","Austria","INN","LOWI",47.260201,11.344,1907,1,"E","Europe/Vienna","airport","OurAirports" 1611,"Linz Hörsching Airport","Linz","Austria","LNZ","LOWL",48.2332,14.1875,980,1,"E","Europe/Vienna","airport","OurAirports" 1612,"Salzburg Airport","Salzburg","Austria","SZG","LOWS",47.793300628699996,13.0043001175,1411,1,"E","Europe/Vienna","airport","OurAirports" 1613,"Vienna International Airport","Vienna","Austria","VIE","LOWW",48.110298156738,16.569700241089,600,1,"E","Europe/Vienna","airport","OurAirports" 1615,"Hinterstoisser Air Base","Zeltweg","Austria",\N,"LOXZ",47.202801,14.7442,2264,1,"E","Europe/Vienna","airport","OurAirports" 1616,"Alverca Air Base","Alverca","Portugal","AVR","LPAR",38.883301,-9.0301,11,0,"E","Europe/Lisbon","airport","OurAirports" 1617,"Santa Maria Airport","Santa Maria (island)","Portugal","SMA","LPAZ",36.97140121459961,-25.17060089111328,308,-1,"E","Atlantic/Azores","airport","OurAirports" 1618,"Bragança Airport","Braganca","Portugal","BGC","LPBG",41.8578,-6.70713,2241,0,"E","Europe/Lisbon","airport","OurAirports" 1619,"Beja Airport / Airbase","Beja (madeira)","Portugal","BYJ","LPBJ",38.078899,-7.9324,636,0,"E","Europe/Lisbon","airport","OurAirports" 1620,"Braga Municipal Aerodrome","Braga","Portugal","BGZ","LPBR",41.5871009827,-8.445139884949999,247,0,"E","Europe/Lisbon","airport","OurAirports" 1621,"Aerodromo Municipal de Coimbra","Coimba","Portugal",\N,"LPCO",40.158758,-8.470815,587,0,"E","Europe/Lisbon","airport","OurAirports" 1622,"Cascais Airport","Cascais","Portugal","CAT","LPCS",38.724998,-9.35523,325,0,"E","Europe/Lisbon","airport","OurAirports" 1623,"Coimbra Hospital Covões Heliport","Covilha","Portugal",\N,"LPCV",40.194812,-8.460207,265,0,"E","Europe/Lisbon","airport","OurAirports" 1624,"Évora Airport","Evora","Portugal",\N,"LPEV",38.533501,-7.88964,807,0,"E","Europe/Lisbon","airport","OurAirports" 1625,"Flores Airport","Flores","Portugal","FLW","LPFL",39.455299377441406,-31.131399154663086,112,-1,"E","Atlantic/Azores","airport","OurAirports" 1626,"Faro Airport","Faro","Portugal","FAO","LPFR",37.0144004822,-7.96590995789,24,0,"E","Europe/Lisbon","airport","OurAirports" 1627,"Graciosa Airport","Graciosa Island","Portugal","GRW","LPGR",39.092201232910156,-28.029800415039062,86,-1,"E","Atlantic/Azores","airport","OurAirports" 1628,"Horta Airport","Horta","Portugal","HOR","LPHR",38.519901275634766,-28.715900421142578,118,-1,"E","Atlantic/Azores","airport","OurAirports" 1629,"Lajes Airport","Lajes (terceira Island)","Portugal","TER","LPLA",38.761799,-27.090799,180,-1,"E","Atlantic/Azores","airport","OurAirports" 1630,"Monte Real Air Base","Monte Real","Portugal","QLR","LPMR",39.828335,-8.8875,187,0,"E","Europe/Lisbon","airport","OurAirports" 1631,"Montijo Air Base","Montijo","Portugal",\N,"LPMT",38.703899,-9.03592,46,0,"E","Europe/Lisbon","airport","OurAirports" 1632,"Ovar Air Base","Ovar","Portugal",\N,"LPOV",40.915901,-8.64592,56,0,"E","Europe/Lisbon","airport","OurAirports" 1633,"João Paulo II Airport","Ponta Delgada","Portugal","PDL","LPPD",37.7411994934,-25.6979007721,259,-1,"E","Atlantic/Azores","airport","OurAirports" 1634,"Pico Airport","Pico","Portugal","PIX","LPPI",38.554298,-28.441299,109,-1,"E","Atlantic/Azores","airport","OurAirports" 1635,"Portimão Airport","Portimao","Portugal","PRM","LPPM",37.1493,-8.58396,5,0,"E","Europe/Lisbon","airport","OurAirports" 1636,"Francisco de Sá Carneiro Airport","Porto","Portugal","OPO","LPPR",41.2481002808,-8.68138980865,228,0,"E","Europe/Lisbon","airport","OurAirports" 1637,"Porto Santo Airport","Porto Santo","Portugal","PXO","LPPS",33.0733985901,-16.3500003815,341,0,"E","Europe/Lisbon","airport","OurAirports" 1638,"Humberto Delgado Airport (Lisbon Portela Airport)","Lisbon","Portugal","LIS","LPPT",38.7813,-9.13592,374,0,"E","Europe/Lisbon","airport","OurAirports" 1639,"São Jorge Airport","Sao Jorge Island","Portugal","SJZ","LPSJ",38.66550064086914,-28.175800323486328,311,-1,"E","Atlantic/Azores","airport","OurAirports" 1640,"Sintra Air Base","Sintra","Portugal",\N,"LPST",38.8311,-9.33955,440,0,"E","Europe/Lisbon","airport","OurAirports" 1641,"Tancos Airbase","Tancos","Portugal",\N,"LPTN",39.475101,-8.36458,266,0,"E","Europe/Lisbon","airport","OurAirports" 1642,"Vila Real Airport","Vila Real","Portugal","VRL","LPVR",41.2743,-7.72047,1805,0,"E","Europe/Lisbon","airport","OurAirports" 1643,"Aerodromo Goncalves Lobato (Viseu Airport)","Viseu","Portugal","VSE","LPVZ",40.725498,-7.88899,2060,0,"E","Europe/Lisbon","airport","OurAirports" 1645,"Mostar International Airport","Mostar","Bosnia and Herzegovina","OMO","LQMO",43.282901763916016,17.84589958190918,156,1,"E","Europe/Sarajevo","airport","OurAirports" 1646,"Sarajevo International Airport","Sarajevo","Bosnia and Herzegovina","SJJ","LQSA",43.82460021972656,18.331499099731445,1708,1,"E","Europe/Sarajevo","airport","OurAirports" 1647,"Arad International Airport","Arad","Romania","ARW","LRAR",46.17660140991211,21.261999130249023,352,2,"E","Europe/Bucharest","airport","OurAirports" 1648,"Bacău Airport","Bacau","Romania","BCM","LRBC",46.52190017700195,26.91029930114746,607,2,"E","Europe/Bucharest","airport","OurAirports" 1649,"Tautii Magheraus Airport","Baia Mare","Romania","BAY","LRBM",47.65840148925781,23.469999313354492,605,2,"E","Europe/Bucharest","airport","OurAirports" 1650,"Băneasa International Airport","Bucharest","Romania","BBU","LRBS",44.50320053100586,26.102100372314453,297,2,"E","Europe/Bucharest","airport","OurAirports" 1651,"Mihail Kogălniceanu International Airport","Constanta","Romania","CND","LRCK",44.36220169067383,28.488300323486328,353,2,"E","Europe/Bucharest","airport","OurAirports" 1652,"Cluj-Napoca International Airport","Cluj-napoca","Romania","CLJ","LRCL",46.78519821166992,23.686199188232422,1036,2,"E","Europe/Bucharest","airport","OurAirports" 1653,"CaransebeÅŸ Airport","Caransebes","Romania","CSB","LRCS",45.41999816894531,22.253299713134766,866,2,"E","Europe/Bucharest","airport","OurAirports" 1654,"Craiova Airport","Craiova","Romania","CRA","LRCV",44.31809997558594,23.888599395751953,626,2,"E","Europe/Bucharest","airport","OurAirports" 1655,"IaÅŸi Airport","Iasi","Romania","IAS","LRIA",47.17850112915039,27.6205997467041,397,2,"E","Europe/Bucharest","airport","OurAirports" 1656,"Oradea International Airport","Oradea","Romania","OMR","LROD",47.025299072265625,21.90250015258789,465,2,"E","Europe/Bucharest","airport","OurAirports" 1657,"Henri Coandă International Airport","Bucharest","Romania","OTP","LROP",44.5711111,26.085,314,2,"E","Europe/Bucharest","airport","OurAirports" 1658,"Sibiu International Airport","Sibiu","Romania","SBZ","LRSB",45.78559875488281,24.091299057006836,1496,2,"E","Europe/Bucharest","airport","OurAirports" 1659,"Satu Mare Airport","Satu Mare","Romania","SUJ","LRSM",47.70330047607422,22.885700225830078,405,2,"E","Europe/Bucharest","airport","OurAirports" 1660,"Suceava Stefan cel Mare Airport","Suceava","Romania","SCV","LRSV",47.6875,26.35409927368164,1375,2,"E","Europe/Bucharest","airport","OurAirports" 1661,"Tulcea Airport","Tulcea","Romania","TCE","LRTC",45.0625,28.71430015563965,200,2,"E","Europe/Bucharest","airport","OurAirports" 1662,"Transilvania Târgu MureÅŸ International Airport","Tirgu Mures","Romania","TGM","LRTM",46.46770095825195,24.412500381469727,963,2,"E","Europe/Bucharest","airport","OurAirports" 1663,"TimiÅŸoara Traian Vuia Airport","Timisoara","Romania","TSR","LRTR",45.809898376464844,21.337900161743164,348,2,"E","Europe/Bucharest","airport","OurAirports" 1664,"Les Eplatures Airport","Les Eplatures","Switzerland",\N,"LSGC",47.083900451699996,6.792840003970001,3368,1,"E","Europe/Zurich","airport","OurAirports" 1665,"Geneva Cointrin International Airport","Geneva","Switzerland","GVA","LSGG",46.23809814453125,6.108950138092041,1411,1,"E","Europe/Paris","airport","OurAirports" 1666,"Saanen Airport","Saanen","Switzerland",\N,"LSGK",46.4874992371,7.25083017349,3307,1,"E","Europe/Zurich","airport","OurAirports" 1667,"Sion Airport","Sion","Switzerland","SIR","LSGS",46.219600677500004,7.326759815220001,1585,1,"E","Europe/Zurich","airport","OurAirports" 1668,"Alpnach Air Base","Alpnach","Switzerland",\N,"LSMA",46.943901,8.28417,1460,1,"E","Europe/Zurich","airport","OurAirports" 1669,"Dübendorf Air Base","Dubendorf","Switzerland",\N,"LSMD",47.398601532,8.648229599,1470,1,"E","Europe/Zurich","airport","OurAirports" 1670,"Emmen Air Base","Emmen","Switzerland","EML","LSME",47.092444,8.305184,1400,1,"E","Europe/Zurich","airport","OurAirports" 1671,"Mollis Airport","Mollis","Switzerland",\N,"LSMF",47.07889938354492,9.06482982635498,1485,1,"E","Europe/Zurich","airport","OurAirports" 1672,"Meiringen Airport","Meiringen","Switzerland",\N,"LSMM",46.74330139160156,8.109999656677246,1895,1,"E","Europe/Zurich","airport","OurAirports" 1673,"Payerne Air Base","Payerne","Switzerland",\N,"LSMP",46.8432,6.91506004333,1465,1,"E","Europe/Zurich","airport","OurAirports" 1675,"Lugano Airport","Lugano","Switzerland","LUG","LSZA",46.00429916379999,8.9105796814,915,1,"E","Europe/Zurich","airport","OurAirports" 1676,"Bern Belp Airport","Bern","Switzerland","BRN","LSZB",46.914100647,7.497149944309999,1674,1,"E","Europe/Zurich","airport","OurAirports" 1677,"Grenchen Airport","Grenchen","Switzerland","ZHI","LSZG",47.181599,7.41719,1411,1,"E","Europe/Zurich","airport","OurAirports" 1678,"Zürich Airport","Zurich","Switzerland","ZRH","LSZH",47.464699,8.54917,1416,1,"E","Europe/Zurich","airport","OurAirports" 1679,"St Gallen Altenrhein Airport","Altenrhein","Switzerland","ACH","LSZR",47.4850006104,9.560770034789998,1306,1,"E","Europe/Zurich","airport","OurAirports" 1680,"Samedan Airport","Samedan","Switzerland","SMV","LSZS",46.53409957885742,9.884110450744629,5600,1,"E","Europe/Zurich","airport","OurAirports" 1681,"Güvercinlik Airport","Ankara","Turkey",\N,"LTAB",39.9350013733,32.7407989502,2687,2,"E","Europe/Istanbul","airport","OurAirports" 1682,"EsenboÄŸa International Airport","Ankara","Turkey","ESB","LTAC",40.128101348899996,32.995098114,3125,3,"E","Europe/Istanbul","airport","OurAirports" 1683,"Etimesgut Air Base","Ankara","Turkey","ANK","LTAD",39.949798584,32.6885986328,2653,3,"E","Europe/Istanbul","airport","OurAirports" 1684,"Akıncı Air Base","Ankara","Turkey",\N,"LTAE",40.078899383499994,32.5656013489,2767,3,"E","Europe/Istanbul","airport","OurAirports" 1685,"Adana Airport","Adana","Turkey","ADA","LTAF",36.9822006226,35.280399322499996,65,3,"E","Europe/Istanbul","airport","OurAirports" 1686,"Ä°ncirlik Air Base","Adana","Turkey","UAB","LTAG",37.002101898199996,35.4258995056,238,3,"E","Europe/Istanbul","airport","OurAirports" 1687,"Afyon Airport","Afyon","Turkey","AFY","LTAH",38.726398468,30.6011009216,3310,3,"E","Europe/Istanbul","airport","OurAirports" 1688,"Antalya International Airport","Antalya","Turkey","AYT","LTAI",36.898701,30.800501,177,3,"E","Europe/Istanbul","airport","OurAirports" 1689,"Gaziantep International Airport","Gaziantep","Turkey","GZT","LTAJ",36.9472007751,37.4786987305,2315,3,"E","Europe/Istanbul","airport","OurAirports" 1690,"Ä°skenderun Airport","Iskenderun","Turkey",\N,"LTAK",36.5744552612,36.1534194946,25,3,"E","Europe/Istanbul","airport","OurAirports" 1691,"Konya Airport","Konya","Turkey","KYA","LTAN",37.979,32.561901,3392,3,"E","Europe/Istanbul","airport","OurAirports" 1692,"Malatya Tulga Airport","Malatya","Turkey",\N,"LTAO",38.353699,38.253899,3016,3,"E","Europe/Istanbul","airport","OurAirports" 1693,"Amasya Merzifon Airport","Merzifon","Turkey","MZH","LTAP",40.829399,35.521999,1758,3,"E","Europe/Istanbul","airport","OurAirports" 1694,"Sivas Nuri DemiraÄŸ Airport","Sivas","Turkey","VAS","LTAR",39.813801,36.9035,5239,3,"E","Europe/Istanbul","airport","OurAirports" 1695,"Malatya Erhaç Airport","Malatya","Turkey","MLX","LTAT",38.435298919699996,38.0909996033,2828,3,"E","Europe/Istanbul","airport","OurAirports" 1696,"Kayseri Erkilet Airport","Kayseri","Turkey","ASR","LTAU",38.770401001,35.4953994751,3463,3,"E","Europe/Istanbul","airport","OurAirports" 1697,"Sivrihisar Airport","Sivrihisar","Turkey",\N,"LTAV",39.451499938964844,31.365299224853516,3185,3,"E","Europe/Istanbul","airport","OurAirports" 1698,"Tokat Airport","Tokat","Turkey","TJK","LTAW",40.307430267333984,36.367408752441406,1831,3,"E","Europe/Istanbul","airport","OurAirports" 1699,"Çardak Airport","Denizli","Turkey","DNZ","LTAY",37.7855987549,29.7012996674,2795,3,"E","Europe/Istanbul","airport","OurAirports" 1701,"Atatürk International Airport","Istanbul","Turkey","ISL","LTBA",40.976898,28.8146,163,3,"E","Europe/Istanbul","airport","OurAirports" 1702,"Balıkesir Merkez Airport","Balikesir","Turkey","BZI","LTBF",39.619300842285156,27.926000595092773,340,3,"E","Europe/Istanbul","airport","OurAirports" 1703,"Bandırma Airport","Bandirma","Turkey","BDM","LTBG",40.31800079345703,27.977699279785156,170,3,"E","Europe/Istanbul","airport","OurAirports" 1705,"EskiÅŸehir Air Base","Eskisehir","Turkey","ESK","LTBI",39.7840995789,30.582099914599997,2581,3,"E","Europe/Istanbul","airport","OurAirports" 1706,"Adnan Menderes International Airport","Izmir","Turkey","ADB","LTBJ",38.2924003601,27.156999588,412,3,"E","Europe/Istanbul","airport","OurAirports" 1707,"Gaziemir Airport","Izmir","Turkey",\N,"LTBK",38.31909942626953,27.159400939941406,433,3,"E","Europe/Istanbul","airport","OurAirports" 1708,"ÇiÄŸli Airport","Izmir","Turkey","IGL","LTBL",38.513000488299994,27.010099411,16,3,"E","Europe/Istanbul","airport","OurAirports" 1709,"Isparta Airport","Isparta","Turkey",\N,"LTBM",37.78512191772461,30.59001922607422,3250,3,"E","Europe/Istanbul","airport","OurAirports" 1710,"Kütahya Airport","Kutahya","Turkey",\N,"LTBN",39.426700592041016,30.01689910888672,3026,3,"E","Europe/Istanbul","airport","OurAirports" 1712,"Yalova Airport","Yalova","Turkey",\N,"LTBP",40.68439865112305,29.375699996948242,6,3,"E","Europe/Istanbul","airport","OurAirports" 1713,"Cengiz Topel Airport","Topel","Turkey","KCO","LTBQ",40.73500061035156,30.08329963684082,182,3,"E","Europe/Istanbul","airport","OurAirports" 1715,"Dalaman International Airport","Dalaman","Turkey","DLM","LTBS",36.7131004333,28.7924995422,20,3,"E","Europe/Istanbul","airport","OurAirports" 1716,"Akhisar Airport","Akhisar","Turkey",\N,"LTBT",38.80889892578125,27.833900451660156,263,3,"E","Europe/Istanbul","airport","OurAirports" 1718,"Imsık Airport","Bodrum","Turkey","BXN","LTBV",37.140098571777344,27.669700622558594,202,3,"E","Europe/Istanbul","airport","OurAirports" 1719,"Samandıra Air Base","Istanbul","Turkey",\N,"LTBX",40.99300003051758,29.21649932861328,400,3,"E","Europe/Istanbul","airport","OurAirports" 1721,"Elazığ Airport","Elazig","Turkey","EZS","LTCA",38.6068992615,39.2914009094,2927,3,"E","Europe/Istanbul","airport","OurAirports" 1722,"Diyarbakir Airport","Diyabakir","Turkey","DIY","LTCC",37.893901825,40.201000213600004,2251,3,"E","Europe/Istanbul","airport","OurAirports" 1723,"Erzincan Airport","Erzincan","Turkey","ERC","LTCD",39.7102012634,39.527000427199994,3783,3,"E","Europe/Istanbul","airport","OurAirports" 1724,"Erzurum International Airport","Erzurum","Turkey","ERZ","LTCE",39.9565010071,41.17020034789999,5763,3,"E","Europe/Istanbul","airport","OurAirports" 1726,"Trabzon International Airport","Trabzon","Turkey","TZX","LTCG",40.99509811401367,39.78969955444336,104,3,"E","Europe/Istanbul","airport","OurAirports" 1728,"Van Ferit Melen Airport","Van","Turkey","VAN","LTCI",38.46820068359375,43.332298278808594,5480,3,"E","Europe/Istanbul","airport","OurAirports" 1729,"Batman Airport","Batman","Turkey","BAL","LTCJ",37.929000854499996,41.1166000366,1822,3,"E","Europe/Istanbul","airport","OurAirports" 1731,"Siirt Airport","Siirt","Turkey","SXZ","LTCL",37.97890090942383,41.84040069580078,2001,3,"E","Europe/Istanbul","airport","OurAirports" 1732,"Kaklıç Airport","Izmir","Turkey",\N,"LTFA",38.517601013183594,26.977399826049805,13,3,"E","Europe/Istanbul","airport","OurAirports" 1733,"Selçuk Efes Airport","Izmir","Turkey",\N,"LTFB",37.95069885253906,27.32900047302246,10,3,"E","Europe/Istanbul","airport","OurAirports" 1734,"BălÈ›i International Airport","Saltsy","Moldova","BZY","LUBL",47.843056,27.777222,758,2,"E","Europe/Chisinau","airport","OurAirports" 1735,"ChiÅŸinău International Airport","Chisinau","Moldova","KIV","LUKK",46.92770004272461,28.930999755859375,399,2,"E","Europe/Chisinau","airport","OurAirports" 1736,"Ohrid St. Paul the Apostle Airport","Ohrid","Macedonia","OHD","LWOH",41.18,20.7423,2313,1,"E","Europe/Skopje","airport","OurAirports" 1737,"Skopje Alexander the Great Airport","Skopje","Macedonia","SKP","LWSK",41.961601,21.621401,781,1,"E","Europe/Skopje","airport","OurAirports" 1738,"Gibraltar Airport","Gibraltar","Gibraltar","GIB","LXGB",36.1511993408,-5.3496599197400005,15,1,"N","Europe/Gibraltar","airport","OurAirports" 1739,"Belgrade Nikola Tesla Airport","Belgrade","Serbia","BEG","LYBE",44.8184013367,20.3090991974,335,1,"E","Europe/Belgrade","airport","OurAirports" 1740,"Nis Airport","Nis","Serbia","INI","LYNI",43.337299,21.853701,648,1,"E","Europe/Belgrade","airport","OurAirports" 1741,"Podgorica Airport","Podgorica","Montenegro","TGD","LYPG",42.359402,19.2519,141,1,"E","Europe/Podgorica","airport","OurAirports" 1742,"PriÅ¡tina International Airport","Pristina","Serbia","PRN","BKPR",42.5728,21.035801,1789,1,"E","Europe/Belgrade","airport","OurAirports" 1743,"Tivat Airport","Tivat","Montenegro","TIV","LYTV",42.404701232910156,18.72330093383789,20,1,"E","Europe/Podgorica","airport","OurAirports" 1744,"VrÅ¡ac International Airport","Vrsac","Serbia",\N,"LYVR",45.1469,21.3099,276,1,"E","Europe/Belgrade","airport","OurAirports" 1745,"M. R. Å tefánik Airport","Bratislava","Slovakia","BTS","LZIB",48.17020034790039,17.21269989013672,436,1,"E","Europe/Bratislava","airport","OurAirports" 1746,"KoÅ¡ice Airport","Kosice","Slovakia","KSC","LZKZ",48.66310119628906,21.241100311279297,755,1,"E","Europe/Bratislava","airport","OurAirports" 1747,"Kuchyňa Air Base","Malacky","Slovakia",\N,"LZMC",48.402000427246094,17.11840057373047,679,1,"E","Europe/Bratislava","airport","OurAirports" 1748,"PieÅ¡Å¥any Airport","Piestany","Slovakia","PZY","LZPP",48.62519836425781,17.828399658203125,545,1,"E","Europe/Bratislava","airport","OurAirports" 1749,"SliaÄ Airport","Sliac","Slovakia","SLD","LZSL",48.63779830932617,19.13409996032715,1043,1,"E","Europe/Bratislava","airport","OurAirports" 1750,"TrenÄín Airport","Trencin","Slovakia",\N,"LZTN",48.8650016785,17.9923000336,676,1,"E","Europe/Bratislava","airport","OurAirports" 1751,"Poprad-Tatry Airport","Poprad","Slovakia","TAT","LZTT",49.073600769,20.2411003113,2356,1,"E","Europe/Bratislava","airport","OurAirports" 1753,"North Caicos Airport","North Caicos","Turks and Caicos Islands","NCA","MBNC",21.9175,-71.939598,10,-4,"U","America/Grand_Turk","airport","OurAirports" 1754,"Providenciales Airport","Providenciales","Turks and Caicos Islands","PLS","MBPV",21.77359962463379,-72.26589965820312,15,-4,"U","America/Grand_Turk","airport","OurAirports" 1755,"South Caicos Airport","South Caicos","Turks and Caicos Islands","XSC","MBSC",21.515699386599998,-71.528503418,6,-4,"U","America/Grand_Turk","airport","OurAirports" 1756,"Arroyo Barril Airport","Samana","Dominican Republic",\N,"MDAB",19.198600769,-69.42980194089999,57,-4,"U","America/Santo_Domingo","airport","OurAirports" 1757,"Maria Montez International Airport","Barahona","Dominican Republic","BRX","MDBH",18.25149917602539,-71.12039947509766,10,-4,"U","America/Santo_Domingo","airport","OurAirports" 1758,"Cabo Rojo Airport","Cabo Rojo","Dominican Republic","CBJ","MDCR",17.929000854492188,-71.6447982788086,262,-4,"U","America/Santo_Domingo","airport","OurAirports" 1759,"Casa De Campo International Airport","La Romana","Dominican Republic","LRM","MDLR",18.450700759887695,-68.91179656982422,240,-4,"U","America/Santo_Domingo","airport","OurAirports" 1760,"Punta Cana International Airport","Punta Cana","Dominican Republic","PUJ","MDPC",18.567399978599997,-68.36340332030001,47,-4,"U","America/Santo_Domingo","airport","OurAirports" 1761,"Gregorio Luperon International Airport","Puerto Plata","Dominican Republic","POP","MDPP",19.75790023803711,-70.56999969482422,15,-4,"U","America/Santo_Domingo","airport","OurAirports" 1762,"Las Américas International Airport","Santo Domingo","Dominican Republic","SDQ","MDSD",18.42970085144,-69.668899536133,59,-4,"U","America/Santo_Domingo","airport","OurAirports" 1763,"San Isidro Air Base","San Isidoro","Dominican Republic",\N,"MDSI",18.503700256347656,-69.76170349121094,111,-4,"U","America/Santo_Domingo","airport","OurAirports" 1764,"Cibao International Airport","Santiago","Dominican Republic","STI","MDST",19.406099319458008,-70.60469818115234,565,-4,"U","America/Santo_Domingo","airport","OurAirports" 1765,"Bananera Airport","Bananera","Guatemala",\N,"MGBN",15.47350025177002,-88.83719635009766,130,-6,"U","America/Guatemala","airport","OurAirports" 1766,"Coban Airport","Coban","Guatemala","CBV","MGCB",15.468999862670898,-90.40670013427734,4339,-6,"U","America/Guatemala","airport","OurAirports" 1767,"La Aurora Airport","Guatemala City","Guatemala","GUA","MGGT",14.5833,-90.527496,4952,-6,"U","America/Guatemala","airport","OurAirports" 1769,"Retalhuleu Airport","Retalhuleu","Guatemala","RER","MGRT",14.520999908447266,-91.69730377197266,656,-6,"U","America/Guatemala","airport","OurAirports" 1770,"San José Airport","San Jose","Guatemala","GSJ","MGSJ",13.936200141899999,-90.83580017090001,29,-6,"U","America/Guatemala","airport","OurAirports" 1771,"Goloson International Airport","La Ceiba","Honduras","LCE","MHLC",15.7425,-86.852997,39,-6,"U","America/Tegucigalpa","airport","OurAirports" 1772,"Ramón Villeda Morales International Airport","San Pedro Sula","Honduras","SAP","MHLM",15.4526,-87.923599,91,-6,"U","America/Tegucigalpa","airport","OurAirports" 1773,"La Laguna Airport","Guanaja","Honduras","GJA","MHNJ",16.4454,-85.906601,49,-6,"U","America/Tegucigalpa","airport","OurAirports" 1774,"Juan Manuel Galvez International Airport","Roatan","Honduras","RTB","MHRO",16.316799,-86.523003,39,-6,"U","America/Tegucigalpa","airport","OurAirports" 1775,"Tela Airport","Tela","Honduras","TEA","MHTE",15.7759,-87.4758,7,-6,"U","America/Tegucigalpa","airport","OurAirports" 1776,"Toncontín International Airport","Tegucigalpa","Honduras","TGU","MHTG",14.06089973449707,-87.21720123291016,3294,-6,"U","America/Tegucigalpa","airport","OurAirports" 1777,"Trujillo Airport","Trujillo","Honduras","TJI","MHTJ",15.9268,-85.938202,3,-6,"U","America/Tegucigalpa","airport","OurAirports" 1778,"Boscobel Aerodrome","Ocho Rios","Jamaica","OCJ","MKBS",18.404199600219727,-76.96900177001953,90,-5,"U","America/Jamaica","airport","OurAirports" 1779,"Norman Manley International Airport","Kingston","Jamaica","KIN","MKJP",17.935699462890625,-76.7874984741211,10,-5,"U","America/Jamaica","airport","OurAirports" 1780,"Sangster International Airport","Montego Bay","Jamaica","MBJ","MKJS",18.503700256347656,-77.91339874267578,4,-5,"U","America/Jamaica","airport","OurAirports" 1781,"Ken Jones Airport","Port Antonio","Jamaica","POT","MKKJ",18.1987991333,-76.53450012210001,20,-5,"U","America/Jamaica","airport","OurAirports" 1782,"Tinson Pen Airport","Kingston","Jamaica","KTP","MKTP",17.98859977722168,-76.82379913330078,16,-5,"U","America/Jamaica","airport","OurAirports" 1783,"General Juan N Alvarez International Airport","Acapulco","Mexico","ACA","MMAA",16.757099151611328,-99.75399780273438,16,-6,"S","America/Mexico_City","airport","OurAirports" 1784,"Del Norte International Airport","Monterrey","Mexico","NTR","MMAN",25.865601,-100.237,1476,-6,"S","America/Mexico_City","airport","OurAirports" 1785,"Jesús Terán Paredo International Airport","Aguascalientes","Mexico","AGU","MMAS",21.705601,-102.318001,6112,-6,"S","America/Mexico_City","airport","OurAirports" 1786,"Bahías de Huatulco International Airport","Huatulco","Mexico","HUX","MMBT",15.7753,-96.262604,464,-6,"S","America/Mexico_City","airport","OurAirports" 1787,"General Mariano Matamoros Airport","Cuernavaca","Mexico","CVJ","MMCB",18.834800720214844,-99.26129913330078,4277,-6,"S","America/Mexico_City","airport","OurAirports" 1788,"Ciudad Acuña New International Airport","Ciudad Acuna","Mexico","ACN","MMCC",29.332899,-101.098998,1410,-6,"S","America/Mexico_City","airport","OurAirports" 1789,"Ciudad del Carmen International Airport","Ciudad Del Carmen","Mexico","CME","MMCE",18.65369987487793,-91.79900360107422,10,-6,"S","America/Mexico_City","airport","OurAirports" 1790,"Nuevo Casas Grandes Airport","Nuevo Casas Grandes","Mexico","NCG","MMCG",30.3974,-107.875,4850,-7,"S","America/Mazatlan","airport","OurAirports" 1791,"Chilpancingo Airport","Chilpancingo","Mexico",\N,"MMCH",17.574239,-99.515424,4199,-6,"S","America/Mexico_City","airport","OurAirports" 1792,"Bachigualato Federal International Airport","Culiacan","Mexico","CUL","MMCL",24.7644996643,-107.474998474,108,-7,"S","America/Mazatlan","airport","OurAirports" 1793,"Chetumal International Airport","Chetumal","Mexico","CTM","MMCM",18.50469970703125,-88.32679748535156,39,-5,"S","America/Cancun","airport","OurAirports" 1794,"Ciudad Obregón International Airport","Ciudad Obregon","Mexico","CEN","MMCN",27.39259910583496,-109.83300018310547,243,-7,"S","America/Hermosillo","airport","OurAirports" 1795,"Ingeniero Alberto Acuña Ongay International Airport","Campeche","Mexico","CPE","MMCP",19.816799163800003,-90.5002975464,34,-6,"S","America/Mexico_City","airport","OurAirports" 1796,"Abraham González International Airport","Ciudad Juarez","Mexico","CJS","MMCS",31.63610076904297,-106.42900085449219,3904,-7,"S","America/Mazatlan","airport","OurAirports" 1797,"General Roberto Fierro Villalobos International Airport","Chihuahua","Mexico","CUU","MMCU",28.702899932900003,-105.964996338,4462,-7,"S","America/Mazatlan","airport","OurAirports" 1798,"General Pedro Jose Mendez International Airport","Ciudad Victoria","Mexico","CVM","MMCV",23.7033004761,-98.9564971924,761,-6,"S","America/Mexico_City","airport","OurAirports" 1800,"Cozumel International Airport","Cozumel","Mexico","CZM","MMCZ",20.52239990234375,-86.92559814453125,15,-5,"S","America/Cancun","airport","OurAirports" 1801,"General Guadalupe Victoria International Airport","Durango","Mexico","DGO","MMDO",24.1242008209,-104.527999878,6104,-6,"S","America/Mexico_City","airport","OurAirports" 1802,"Amado Nervo National Airport","Tepic","Mexico","TPQ","MMEP",21.4195,-104.843002,3020,-7,"S","America/Mazatlan","airport","OurAirports" 1803,"Ensenada International Airport","Ensenada","Mexico","ESE","MMES",31.7953,-116.602997,66,-8,"S","America/Tijuana","airport","OurAirports" 1804,"Don Miguel Hidalgo Y Costilla International Airport","Guadalajara","Mexico","GDL","MMGL",20.521799087524414,-103.31099700927734,5016,-6,"S","America/Mexico_City","airport","OurAirports" 1805,"General José María Yáñez International Airport","Guaymas","Mexico","GYM","MMGM",27.9689998626709,-110.92500305175781,59,-7,"S","America/Hermosillo","airport","OurAirports" 1806,"Tehuacan Airport","Tehuacan","Mexico","TCN","MMHC",18.49720001220703,-97.4198989868164,5509,-6,"S","America/Mexico_City","airport","OurAirports" 1807,"General Ignacio P. Garcia International Airport","Hermosillo","Mexico","HMO","MMHO",29.095899581900003,-111.047996521,627,-7,"S","America/Hermosillo","airport","OurAirports" 1808,"Licenciado Miguel de la Madrid Airport","Colima","Mexico","CLQ","MMIA",19.277,-103.577002,2467,-6,"S","America/Mexico_City","airport","OurAirports" 1809,"Isla Mujeres Airport","Isla Mujeres","Mexico","ISJ","MMIM",21.2450008392334,-86.73999786376953,7,-5,"S","America/Cancun","airport","OurAirports" 1810,"Plan De Guadalupe International Airport","Saltillo","Mexico","SLW","MMIO",25.54949951171875,-100.92900085449219,4778,-6,"S","America/Mexico_City","airport","OurAirports" 1811,"Ixtepec Airport","Iztepec","Mexico","IZT","MMIT",16.449301,-95.093697,164,-6,"S","America/Mexico_City","airport","OurAirports" 1813,"Lázaro Cárdenas Airport","Lazard Cardenas","Mexico","LZC","MMLC",18.0016994476,-102.221000671,39,-6,"S","America/Mexico_City","airport","OurAirports" 1814,"Valle del Fuerte International Airport","Los Mochis","Mexico","LMM","MMLM",25.6851997375,-109.081001282,16,-7,"S","America/Mazatlan","airport","OurAirports" 1815,"Del Bajío International Airport","Del Bajio","Mexico","BJX","MMLO",20.9935,-101.481003,5956,-6,"S","America/Mexico_City","airport","OurAirports" 1816,"Manuel Márquez de León International Airport","La Paz","Mexico","LAP","MMLP",24.072700500499998,-110.361999512,69,-7,"S","America/Mazatlan","airport","OurAirports" 1817,"Loreto International Airport","Loreto","Mexico","LTO","MMLT",25.989200592041016,-111.3479995727539,34,-7,"S","America/Mazatlan","airport","OurAirports" 1818,"General Servando Canales International Airport","Matamoros","Mexico","MAM","MMMA",25.7698993683,-97.5252990723,25,-6,"S","America/Mexico_City","airport","OurAirports" 1819,"Licenciado Manuel Crescencio Rejon Int Airport","Merida","Mexico","MID","MMMD",20.937000274699997,-89.657699585,38,-6,"S","America/Mexico_City","airport","OurAirports" 1820,"General Rodolfo Sánchez Taboada International Airport","Mexicali","Mexico","MXL","MMML",32.6306,-115.241997,74,-8,"S","America/Tijuana","airport","OurAirports" 1821,"General Francisco J. Mujica International Airport","Morelia","Mexico","MLM","MMMM",19.849899292,-101.025001526,6033,-6,"S","America/Mexico_City","airport","OurAirports" 1822,"Minatitlán/Coatzacoalcos National Airport","Minatitlan","Mexico","MTT","MMMT",18.1033992767,-94.58070373540001,36,-6,"S","America/Mexico_City","airport","OurAirports" 1823,"Monclova International Airport","Monclova","Mexico","LOV","MMMV",26.9557,-101.470001,1864,-6,"S","America/Mexico_City","airport","OurAirports" 1824,"Licenciado Benito Juarez International Airport","Mexico City","Mexico","MEX","MMMX",19.4363,-99.072098,7316,-6,"S","America/Mexico_City","airport","OurAirports" 1825,"General Mariano Escobedo International Airport","Monterrey","Mexico","MTY","MMMY",25.7784996033,-100.107002258,1278,-6,"S","America/Mexico_City","airport","OurAirports" 1826,"General Rafael Buelna International Airport","Mazatlan","Mexico","MZT","MMMZ",23.1613998413,-106.26599884,38,-7,"S","America/Mazatlan","airport","OurAirports" 1827,"Nogales International Airport","Nogales","Mexico","NOG","MMNG",31.22610092163086,-110.97599792480469,3990,-7,"S","America/Hermosillo","airport","OurAirports" 1828,"Quetzalcóatl International Airport","Nuevo Laredo","Mexico","NLD","MMNL",27.4438991547,-99.5705032349,484,-6,"S","America/Mexico_City","airport","OurAirports" 1829,"Xoxocotlán International Airport","Oaxaca","Mexico","OAX","MMOX",16.9999008179,-96.726600647,4989,-6,"S","America/Mexico_City","airport","OurAirports" 1830,"El Tajín National Airport","Poza Rico","Mexico","PAZ","MMPA",20.6026992798,-97.46080017090001,497,-6,"S","America/Mexico_City","airport","OurAirports" 1831,"Hermanos Serdán International Airport","Puebla","Mexico","PBC","MMPB",19.1581001282,-98.3713989258,7361,-6,"S","America/Mexico_City","airport","OurAirports" 1832,"Ingeniero Juan Guillermo Villasana Airport","Pachuca","Mexico",\N,"MMPC",20.0774,-98.782501,7600,-6,"S","America/Mexico_City","airport","OurAirports" 1833,"Mar de Cortés International Airport","Punta Penasco","Mexico","PPE","MMPE",31.351987,-113.305177,71,-7,"S","America/Hermosillo","airport","OurAirports" 1834,"Piedras Negras International Airport","Piedras Negras","Mexico","PDS","MMPG",28.627399,-100.535004,901,-6,"S","America/Mexico_City","airport","OurAirports" 1835,"Licenciado y General Ignacio Lopez Rayon Airport","Uruapan","Mexico","UPN","MMPN",19.396699905395508,-102.03900146484375,5258,-6,"S","America/Mexico_City","airport","OurAirports" 1836,"Licenciado Gustavo Díaz Ordaz International Airport","Puerto Vallarta","Mexico","PVR","MMPR",20.680099487304688,-105.25399780273438,23,-6,"S","America/Mexico_City","airport","OurAirports" 1837,"Puerto Escondido International Airport","Puerto Escondido","Mexico","PXM","MMPS",15.8769,-97.089103,294,-6,"S","America/Mexico_City","airport","OurAirports" 1838,"Querétaro Intercontinental Airport","Queretaro","Mexico","QRO","MMQT",20.6173,-100.185997,6296,-6,"S","America/Mexico_City","airport","OurAirports" 1839,"General Lucio Blanco International Airport","Reynosa","Mexico","REX","MMRX",26.0089,-98.2285,139,-6,"S","America/Mexico_City","airport","OurAirports" 1840,"Los Cabos International Airport","San Jose Del Cabo","Mexico","SJD","MMSD",23.15180015563965,-109.72100067138672,374,-7,"S","America/Mazatlan","airport","OurAirports" 1841,"San Felipe International Airport","San Filipe","Mexico","SFH","MMSF",30.930200576782,-114.80899810791,148,-8,"S","America/Tijuana","airport","OurAirports" 1842,"Ponciano Arriaga International Airport","San Luis Potosi","Mexico","SLP","MMSP",22.254299163800003,-100.930999756,6035,-6,"S","America/Mexico_City","airport","OurAirports" 1843,"Tlaxcala Airport","Tlaxcala","Mexico",\N,"MMTA",19.537992,-98.173492,8229,-6,"S","America/Mexico_City","airport","OurAirports" 1844,"Terán Air Base","Tuxtla Gutierrez","Mexico",\N,"MMTB",16.739901,-93.173301,1909,-6,"S","America/Mexico_City","airport","OurAirports" 1845,"Francisco Sarabia International Airport","Torreon","Mexico","TRC","MMTC",25.568300247199996,-103.411003113,3688,-6,"S","America/Mexico_City","airport","OurAirports" 1846,"Angel Albino Corzo International Airport","Tuxtla Gutierrez","Mexico","TGZ","MMTG",16.5636005402,-93.02249908450001,1499,-6,"S","America/Mexico_City","airport","OurAirports" 1847,"General Abelardo L. Rodríguez International Airport","Tijuana","Mexico","TIJ","MMTJ",32.541099548339844,-116.97000122070312,489,-8,"S","America/Tijuana","airport","OurAirports" 1848,"General Francisco Javier Mina International Airport","Tampico","Mexico","TAM","MMTM",22.2964000702,-97.8658981323,80,-6,"S","America/Mexico_City","airport","OurAirports" 1849,"Tamuin Airport","Tamuin","Mexico","TSL","MMTN",22.0383,-98.806502,164,-6,"S","America/Mexico_City","airport","OurAirports" 1850,"Licenciado Adolfo Lopez Mateos International Airport","Toluca","Mexico","TLC","MMTO",19.3370990753,-99.56600189210002,8466,-6,"S","America/Mexico_City","airport","OurAirports" 1851,"Tapachula International Airport","Tapachula","Mexico","TAP","MMTP",14.7943000793,-92.3700027466,97,-6,"S","America/Mexico_City","airport","OurAirports" 1852,"Cancún International Airport","Cancun","Mexico","CUN","MMUN",21.036500930800003,-86.8770980835,22,-5,"S","America/Cancun","airport","OurAirports" 1853,"Carlos Rovirosa Pérez International Airport","Villahermosa","Mexico","VSA","MMVA",17.996999740600586,-92.81739807128906,46,-6,"S","America/Mexico_City","airport","OurAirports" 1854,"General Heriberto Jara International Airport","Vera Cruz","Mexico","VER","MMVR",19.1459007263,-96.1873016357,90,-6,"S","America/Mexico_City","airport","OurAirports" 1855,"General Leobardo C. Ruiz International Airport","Zacatecas","Mexico","ZCL","MMZC",22.8971004486,-102.68699646,7141,-6,"S","America/Mexico_City","airport","OurAirports" 1856,"Ixtapa Zihuatanejo International Airport","Zihuatanejo","Mexico","ZIH","MMZH",17.601600647,-101.460998535,26,-6,"S","America/Mexico_City","airport","OurAirports" 1857,"Zamora Airport","Zamora","Mexico","ZMM","MMZM",20.045,-102.276001,5141,-6,"S","America/Mexico_City","airport","OurAirports" 1858,"Playa De Oro International Airport","Manzanillo","Mexico","ZLO","MMZO",19.144800186199998,-104.558998108,30,-6,"S","America/Mexico_City","airport","OurAirports" 1859,"Zapopan Airport","Zapopan","Mexico",\N,"MMZP",20.747922,-103.461709,5333,-6,"S","America/Mexico_City","airport","OurAirports" 1860,"Bluefields Airport","Bluefields","Nicaragua","BEF","MNBL",11.991000175476074,-83.77410125732422,20,-6,"U","America/Managua","airport","OurAirports" 1861,"Los Brasiles Airport","Los Brasiles","Nicaragua",\N,"MNBR",12.1899995803833,-86.35389709472656,262,-6,"U","America/Managua","airport","OurAirports" 1862,"Leon (Fanor Urroz) Airport","Leon","Nicaragua",\N,"MNLN",12.429200172424316,-86.90280151367188,328,-6,"U","America/Managua","airport","OurAirports" 1863,"Augusto C. Sandino (Managua) International Airport","Managua","Nicaragua","MGA","MNMG",12.141500473022461,-86.16819763183594,194,-6,"U","America/Managua","airport","OurAirports" 1864,"Puerto Cabezas Airport","Puerto Cabezas","Nicaragua","PUZ","MNPC",14.047200202941895,-83.38670349121094,52,-6,"U","America/Managua","airport","OurAirports" 1865,"Bocas Del Toro International Airport","Bocas Del Toro","Panama","BOC","MPBO",9.340849876403809,-82.25080108642578,10,-5,"U","America/Panama","airport","OurAirports" 1866,"Cap Manuel Niño International Airport","Changuinola","Panama","CHX","MPCH",9.458962,-82.515062,19,-5,"U","America/Panama","airport","OurAirports" 1867,"Enrique Malek International Airport","David","Panama","DAV","MPDA",8.390999794006348,-82.43499755859375,89,-5,"U","America/Panama","airport","OurAirports" 1868,"Panama Pacific International Airport","Howard","Panama","BLB","MPHO",8.91479,-79.599602,52,-5,"U","America/Panama","airport","OurAirports" 1869,"Marcos A. Gelabert International Airport","Panama","Panama","PAC","MPMG",8.973340034484863,-79.55560302734375,31,-5,"U","America/Panama","airport","OurAirports" 1870,"Ruben Cantu Airport","Santiago","Panama","SYP","MPSA",8.085599899291992,-80.94529724121094,272,-5,"U","America/Panama","airport","OurAirports" 1871,"Tocumen International Airport","Panama City","Panama","PTY","MPTO",9.0713596344,-79.3834991455,135,-5,"U","America/Panama","airport","OurAirports" 1872,"Buenos Aires Airport","Buenos Aires","Costa Rica","BAI","MRBA",9.163949,-83.330171,1214,-6,"U","America/Costa_Rica","airport","OurAirports" 1874,"Coto 47 Airport","Coto 47","Costa Rica","OTR","MRCC",8.60155963897705,-82.96859741210938,26,-6,"U","America/Costa_Rica","airport","OurAirports" 1875,"Chacarita Airport","Chacarita","Costa Rica","JAP","MRCH",9.98141002655,-84.7726974487,7,-6,"U","America/Costa_Rica","airport","OurAirports" 1877,"El Carmen de Siquirres Airport","El Carmen","Costa Rica",\N,"MREC",10.20199966430664,-83.47219848632812,56,-6,"U","America/Costa_Rica","airport","OurAirports" 1878,"Finca 10 / Nuevo Palmar Sur Airport","Finca 10","Costa Rica",\N,"MRFI",8.916350364685059,-83.5073013305664,25,-6,"U","America/Costa_Rica","airport","OurAirports" 1879,"Golfito Airport","Golfito","Costa Rica","GLF","MRGF",8.654009819030762,-83.18219757080078,49,-6,"U","America/Costa_Rica","airport","OurAirports" 1880,"Guapiles Airport","Guapiles","Costa Rica","GPL","MRGP",10.2172002792,-83.79699707030001,883,-6,"U","America/Costa_Rica","airport","OurAirports" 1881,"Daniel Oduber Quiros International Airport","Liberia","Costa Rica","LIR","MRLB",10.5933,-85.544403,270,-6,"U","America/Costa_Rica","airport","OurAirports" 1882,"Los Chiles Airport","Los Chiles","Costa Rica","LSL","MRLC",11.035300254821777,-84.70610046386719,131,-6,"U","America/Costa_Rica","airport","OurAirports" 1883,"Limon International Airport","Limon","Costa Rica","LIO","MRLM",9.95796012878418,-83.02200317382812,7,-6,"U","America/Costa_Rica","airport","OurAirports" 1884,"Nosara Airport","Nosara Beach","Costa Rica","NOB","MRNS",9.976490020750001,-85.65299987790002,33,-6,"U","America/Costa_Rica","airport","OurAirports" 1885,"Juan Santamaria International Airport","San Jose","Costa Rica","SJO","MROC",9.993860244750977,-84.20880126953125,3021,-6,"U","America/Costa_Rica","airport","OurAirports" 1886,"Pandora Airport","Pandora","Costa Rica",\N,"MRPD",9.732170104980469,-82.98320007324219,98,-6,"U","America/Costa_Rica","airport","OurAirports" 1887,"Palmar Sur Airport","Palmar Sur","Costa Rica","PMZ","MRPM",8.951029777526855,-83.46859741210938,49,-6,"U","America/Costa_Rica","airport","OurAirports" 1889,"Quepos Managua Airport","Quepos","Costa Rica","XQP","MRQP",9.443160057067871,-84.12979888916016,85,-6,"U","America/Costa_Rica","airport","OurAirports" 1890,"Santa Clara De Guapiles Airport","Santa Clara","Costa Rica",\N,"MRSG",10.288299560546875,-83.7135009765625,262,-6,"U","America/Costa_Rica","airport","OurAirports" 1891,"San Vito De Java Airport","San Vito De Jaba","Costa Rica","TOO","MRSV",8.826109886169434,-82.95890045166016,3228,-6,"U","America/Costa_Rica","airport","OurAirports" 1892,"Monseñor Óscar Arnulfo Romero International Airport","San Salvador","El Salvador","SAL","MSLP",13.4409,-89.055702,101,-6,"U","America/El_Salvador","airport","OurAirports" 1893,"Ilopango International Airport","San Salvador","El Salvador",\N,"MSSS",13.69950008392334,-89.11990356445312,2021,-6,"U","America/El_Salvador","airport","OurAirports" 1894,"Les Cayes Airport","Cayes","Haiti","CYA","MTCA",18.271099090576172,-73.78829956054688,203,-5,"U","America/Port-au-Prince","airport","OurAirports" 1895,"Cap Haitien International Airport","Cap Haitien","Haiti","CAP","MTCH",19.733,-72.194702,10,-5,"U","America/Port-au-Prince","airport","OurAirports" 1896,"Jacmel Airport","Jacmel","Haiti","JAK","MTJA",18.241100311279297,-72.51850128173828,167,-5,"U","America/Port-au-Prince","airport","OurAirports" 1897,"Toussaint Louverture International Airport","Port-au-prince","Haiti","PAP","MTPP",18.579999923706055,-72.2925033569336,122,-5,"U","America/Port-au-Prince","airport","OurAirports" 1898,"Gustavo Rizo Airport","Baracoa Playa","Cuba","BCA","MUBA",20.365299224853516,-74.5062026977539,26,-5,"U","America/Havana","airport","OurAirports" 1899,"Carlos Manuel de Cespedes Airport","Bayamo","Cuba","BYM","MUBY",20.396400451660156,-76.62139892578125,203,-5,"U","America/Havana","airport","OurAirports" 1900,"Maximo Gomez Airport","Ciego De Avila","Cuba","AVI","MUCA",22.027099609375,-78.78959655761719,335,-5,"U","America/Havana","airport","OurAirports" 1901,"Jardines Del Rey Airport","Cunagua","Cuba","CCC","MUCC",22.461000442499998,-78.32839965820001,13,-5,"U","America/Havana","airport","OurAirports" 1902,"Jaime Gonzalez Airport","Cienfuegos","Cuba","CFG","MUCF",22.149999618530273,-80.41419982910156,102,-5,"U","America/Havana","airport","OurAirports" 1903,"Vilo Acuña International Airport","Cayo Largo del Sur","Cuba","CYO","MUCL",21.6165008545,-81.5459976196,10,-5,"U","America/Havana","airport","OurAirports" 1904,"Ignacio Agramonte International Airport","Camaguey","Cuba","CMW","MUCM",21.420299530029297,-77.84750366210938,413,-5,"U","America/Havana","airport","OurAirports" 1905,"Antonio Maceo International Airport","Santiago De Cuba","Cuba","SCU","MUCU",19.96980094909668,-75.83540344238281,249,-5,"U","America/Havana","airport","OurAirports" 1906,"Florida Airport","Florida","Cuba",\N,"MUFL",21.49970054626465,-78.20279693603516,197,-5,"U","America/Havana","airport","OurAirports" 1907,"Leeward Point Field","Guantanamo","Cuba","NBW","MUGM",19.906499862671,-75.207099914551,56,-5,"U",\N,"airport","OurAirports" 1908,"Mariana Grajales Airport","Guantanamo","Cuba","GAO","MUGT",20.08530044555664,-75.1583023071289,56,-5,"U","America/Havana","airport","OurAirports" 1909,"José Martí International Airport","Havana","Cuba","HAV","MUHA",22.989200592041016,-82.40910339355469,210,-5,"U","America/Havana","airport","OurAirports" 1910,"Frank Pais International Airport","Holguin","Cuba","HOG","MUHG",20.785600662231445,-76.31510162353516,361,-5,"U","America/Havana","airport","OurAirports" 1911,"La Coloma Airport","La Coloma","Cuba","LCL","MULM",22.33609962463379,-83.64189910888672,131,-5,"U","America/Havana","airport","OurAirports" 1912,"Orestes Acosta Airport","Moa","Cuba","MOA","MUMO",20.653900146484375,-74.92220306396484,16,-5,"U","America/Havana","airport","OurAirports" 1913,"Sierra Maestra Airport","Manzanillo","Cuba","MZO","MUMZ",20.28809928894043,-77.08920288085938,112,-5,"U","America/Havana","airport","OurAirports" 1914,"Rafael Cabrera Airport","Nueva Gerona","Cuba","GER","MUNG",21.834699630737305,-82.78379821777344,79,-5,"U","America/Havana","airport","OurAirports" 1915,"Playa Baracoa Airport","Baracoa Playa","Cuba","UPB","MUPB",23.032800674399997,-82.5793991089,102,-5,"U","America/Havana","airport","OurAirports" 1916,"Pinar Del Rio Airport","Pinar Del Rio Norte","Cuba","QPD","MUPR",22.42140007019043,-83.67839813232422,131,-5,"U","America/Havana","airport","OurAirports" 1917,"San Antonio De Los Banos Airport","San Antonio De Banos","Cuba",\N,"MUSA",22.87150001525879,-82.5093002319336,164,-5,"U","America/Havana","airport","OurAirports" 1918,"Abel Santamaria Airport","Santa Clara","Cuba","SNU","MUSC",22.49220085144043,-79.943603515625,338,-5,"U","America/Havana","airport","OurAirports" 1919,"Joaquín de Agüero Airport","Santa Lucia","Cuba",\N,"MUSL",21.509455906699998,-77.02059745790001,13,-5,"U","America/Havana","airport","OurAirports" 1920,"Siguanea Airport","Siguanea","Cuba","SZJ","MUSN",21.642499923706055,-82.9551010131836,39,-5,"U","America/Havana","airport","OurAirports" 1921,"Sancti Spiritus Airport","Sancti Spiritus","Cuba","USS","MUSS",21.9704,-79.442703,295,-5,"U","America/Havana","airport","OurAirports" 1923,"Juan Gualberto Gomez International Airport","Varadero","Cuba","VRA","MUVR",23.034400939941406,-81.435302734375,210,-5,"U","America/Havana","airport","OurAirports" 1924,"Hermanos Ameijeiras Airport","Las Tunas","Cuba","VTU","MUVT",20.987600326538086,-76.93579864501953,328,-5,"U","America/Havana","airport","OurAirports" 1925,"Gerrard Smith International Airport","Cayman Brac","Cayman Islands","CYB","MWCB",19.687000274658203,-79.88279724121094,8,-5,"N","America/Cayman","airport","OurAirports" 1926,"Owen Roberts International Airport","Georgetown","Cayman Islands","GCM","MWCR",19.292800903299998,-81.3576965332,8,-5,"N","America/Cayman","airport","OurAirports" 1927,"Clarence A. Bain Airport","Clarence Bain","Bahamas","MAY","MYAB",24.287700653076172,-77.68460083007812,19,-5,"U","America/Nassau","airport","OurAirports" 1928,"Andros Town Airport","Andros Town","Bahamas","ASD","MYAF",24.697900772094727,-77.79560089111328,5,-5,"U","America/Nassau","airport","OurAirports" 1930,"Leonard M Thompson International Airport","Marsh Harbor","Bahamas","MHH","MYAM",26.5114,-77.083503,6,-5,"U","America/Nassau","airport","OurAirports" 1931,"San Andros Airport","San Andros","Bahamas","SAQ","MYAN",25.053800582885742,-78.04900360107422,5,-5,"U","America/Nassau","airport","OurAirports" 1932,"Spring Point Airport","Spring Point","Bahamas","AXP","MYAP",22.441799163800003,-73.97090148930002,11,-5,"U","America/Nassau","airport","OurAirports" 1933,"Sandy Point Airport","Sandy Point","Bahamas",\N,"MYAS",26.004600524902344,-77.39550018310547,8,-5,"U","America/Nassau","airport","OurAirports" 1934,"Treasure Cay Airport","Treasure Cay","Bahamas","TCB","MYAT",26.745300293,-77.3912963867,8,-5,"U","America/Nassau","airport","OurAirports" 1935,"Chub Cay Airport","Chub Cay","Bahamas","CCZ","MYBC",25.41710090637207,-77.88089752197266,5,-5,"U","America/Nassau","airport","OurAirports" 1936,"Great Harbour Cay Airport","Bullocks Harbour","Bahamas","GHC","MYBG",25.7383,-77.840103,18,-5,"U","America/Nassau","airport","OurAirports" 1937,"South Bimini Airport","Alice Town","Bahamas","BIM","MYBS",25.6998996735,-79.2647018433,10,-5,"U","America/Nassau","airport","OurAirports" 1941,"Exuma International Airport","Great Exuma","Bahamas","GGT","MYEF",23.5625991821,-75.8779983521,9,-5,"U","America/Nassau","airport","OurAirports" 1942,"George Town Airport","George Town","Bahamas",\N,"MYEG",23.4666996002,-75.78170013430001,5,-5,"U","America/Nassau","airport","OurAirports" 1943,"North Eleuthera Airport","North Eleuthera","Bahamas","ELH","MYEH",25.474899292,-76.6835021973,13,-5,"U","America/Nassau","airport","OurAirports" 1944,"Governor's Harbour Airport","Governor's Harbor","Bahamas","GHB","MYEM",25.2847003937,-76.3310012817,26,-5,"U","America/Nassau","airport","OurAirports" 1945,"Normans Cay Airport","Norman's Cay","Bahamas","NMC","MYEN",24.59429931640625,-76.82019805908203,8,-5,"U","America/Nassau","airport","OurAirports" 1946,"Rock Sound Airport","Rock Sound","Bahamas","RSD","MYER",24.8950787333,-76.1768817902,10,-5,"U","America/Nassau","airport","OurAirports" 1947,"Staniel Cay Airport","Staniel Cay","Bahamas","TYM","MYES",24.169099807739258,-76.43910217285156,5,-5,"U","America/Nassau","airport","OurAirports" 1948,"Grand Bahama International Airport","Freeport","Bahamas","FPO","MYGF",26.5587005615,-78.695602417,7,-5,"U","America/Nassau","airport","OurAirports" 1949,"Inagua Airport","Matthew Town","Bahamas","IGA","MYIG",20.975000381469727,-73.66690063476562,8,-5,"U","America/Nassau","airport","OurAirports" 1950,"Deadman's Cay Airport","Dead Man's Cay","Bahamas","LGI","MYLD",23.1790008545,-75.09359741210001,9,-5,"U","America/Nassau","airport","OurAirports" 1951,"Stella Maris Airport","Stella Maris","Bahamas","SML","MYLS",23.582317,-75.268621,10,-5,"U","America/Nassau","airport","OurAirports" 1952,"Mayaguana Airport","Mayaguana","Bahamas","MYG","MYMM",22.379499,-73.013494,11,-5,"U","America/Nassau","airport","OurAirports" 1953,"Lynden Pindling International Airport","Nassau","Bahamas","NAS","MYNN",25.0389995575,-77.46620178219999,16,-5,"U","America/Nassau","airport","OurAirports" 1954,"Duncan Town Airport","Duncan Town","Bahamas","DCT","MYRD",22.181800842285156,-75.72949981689453,6,-5,"U","America/Nassau","airport","OurAirports" 1955,"Rum Cay Airport","Port Nelson","Bahamas","RCY","MYRP",23.68440055847168,-74.83619689941406,15,-5,"U","America/Nassau","airport","OurAirports" 1956,"San Salvador Airport","Cockburn Town","Bahamas","ZSA","MYSM",24.06329917907715,-74.52400207519531,24,-5,"U","America/Nassau","airport","OurAirports" 1957,"Philip S. W. Goldson International Airport","Belize City","Belize","BZE","MZBZ",17.539100646972656,-88.30819702148438,15,-6,"U","America/Belize","airport","OurAirports" 1958,"Aitutaki Airport","Aitutaki","Cook Islands","AIT","NCAI",-18.830900192260742,-159.76400756835938,14,-10,"U","Pacific/Rarotonga","airport","OurAirports" 1959,"Rarotonga International Airport","Avarua","Cook Islands","RAR","NCRG",-21.2026996613,-159.805999756,19,-10,"U","Pacific/Rarotonga","airport","OurAirports" 1960,"Nadi International Airport","Nandi","Fiji","NAN","NFFN",-17.755399703979492,177.4429931640625,59,12,"U","Pacific/Fiji","airport","OurAirports" 1961,"Nausori International Airport","Nausori","Fiji","SUV","NFNA",-18.04330062866211,178.5590057373047,17,12,"U","Pacific/Fiji","airport","OurAirports" 1963,"Fua'amotu International Airport","Tongatapu","Tonga","TBU","NFTF",-21.241199493408203,-175.14999389648438,126,13,"U","Pacific/Tongatapu","airport","OurAirports" 1964,"Vava'u International Airport","Vava'u","Tonga","VAV","NFTV",-18.58530044555664,-173.96200561523438,236,13,"U","Pacific/Tongatapu","airport","OurAirports" 1965,"Bonriki International Airport","Tarawa","Kiribati","TRW","NGTA",1.3816399574279785,173.14700317382812,9,12,"U","Pacific/Tarawa","airport","OurAirports" 1966,"Tabiteuea North Airport","Tabiteuea North","Kiribati","TBF","NGTE",-1.2244700193405151,174.7760009765625,7,12,"U",\N,"airport","OurAirports" 1968,"Hihifo Airport","Wallis","Wallis and Futuna","WLS","NLWW",-13.2383003235,-176.199005127,79,12,"U","Pacific/Wallis","airport","OurAirports" 1969,"Faleolo International Airport","Faleolo","Samoa","APW","NSFA",-13.829999923706055,-172.00799560546875,58,13,"U","Pacific/Apia","airport","OurAirports" 1970,"Pago Pago International Airport","Pago Pago","American Samoa","PPG","NSTU",-14.3310003281,-170.710006714,32,-11,"U","Pacific/Pago_Pago","airport","OurAirports" 1971,"Rurutu Airport","Rurutu","French Polynesia","RUR","NTAR",-22.434099197387695,-151.36099243164062,18,-10,"U",\N,"airport","OurAirports" 1972,"Tubuai Airport","Tubuai","French Polynesia","TUB","NTAT",-23.365400314331055,-149.5240020751953,7,-10,"U","Pacific/Tahiti","airport","OurAirports" 1973,"Anaa Airport","Anaa","French Polynesia","AAA","NTGA",-17.35260009765625,-145.50999450683594,10,-10,"U","Pacific/Tahiti","airport","OurAirports" 1974,"Fangatau Airport","Fangatau","French Polynesia","FGU","NTGB",-15.819899559020996,-140.88699340820312,9,-10,"U","Pacific/Tahiti","airport","OurAirports" 1975,"Tikehau Airport","Tikehau","French Polynesia","TIH","NTGC",-15.119600296020508,-148.2310028076172,6,-10,"U","Pacific/Tahiti","airport","OurAirports" 1976,"Reao Airport","Reao","French Polynesia","REA","NTGE",-18.465900421142578,-136.44000244140625,12,-10,"U",\N,"airport","OurAirports" 1977,"Fakarava Airport","Fakarava","French Polynesia","FAV","NTGF",-16.054100036621094,-145.65699768066406,13,-10,"U","Pacific/Tahiti","airport","OurAirports" 1978,"Manihi Airport","Manihi","French Polynesia","XMH","NTGI",-14.436800003051758,-146.07000732421875,14,-10,"U","Pacific/Tahiti","airport","OurAirports" 1979,"Totegegie Airport","Totegegie","French Polynesia","GMR","NTGJ",-23.07990074157715,-134.88999938964844,7,-9,"U","Pacific/Gambier","airport","OurAirports" 1980,"Kaukura Airport","Kaukura Atoll","French Polynesia","KKR","NTGK",-15.663299560546875,-146.88499450683594,11,-10,"U","Pacific/Tahiti","airport","OurAirports" 1981,"Makemo Airport","Makemo","French Polynesia","MKP","NTGM",-16.583900451660156,-143.6580047607422,3,-10,"U","Pacific/Tahiti","airport","OurAirports" 1982,"Puka Puka Airport","Puka Puka","French Polynesia","PKP","NTGP",-14.809499740600586,-138.81300354003906,5,-10,"U","Pacific/Tahiti","airport","OurAirports" 1983,"Takapoto Airport","Takapoto","French Polynesia","TKP","NTGT",-14.709500312805176,-145.24600219726562,12,-10,"U","Pacific/Tahiti","airport","OurAirports" 1984,"Arutua Airport","Arutua","French Polynesia","AXR","NTGU",-15.248299598693848,-146.61700439453125,9,-10,"U","Pacific/Tahiti","airport","OurAirports" 1985,"Mataiva Airport","Mataiva","French Polynesia","MVT","NTGV",-14.8681001663208,-148.7169952392578,11,-10,"U","Pacific/Tahiti","airport","OurAirports" 1986,"Takaroa Airport","Takaroa","French Polynesia","TKX","NTKR",-14.45580005645752,-145.02499389648438,13,-10,"U","Pacific/Tahiti","airport","OurAirports" 1987,"Nuku Hiva Airport","Nuku Hiva","French Polynesia","NHV","NTMD",-8.795599937438965,-140.22900390625,220,-9.5,"U","Pacific/Marquesas","airport","OurAirports" 1989,"Bora Bora Airport","Bora Bora","French Polynesia","BOB","NTTB",-16.444400787353516,-151.75100708007812,10,-10,"U","Pacific/Tahiti","airport","OurAirports" 1990,"Rangiroa Airport","Rangiroa","French Polynesia","RGI","NTTG",-14.954299926757812,-147.66099548339844,10,-10,"U","Pacific/Tahiti","airport","OurAirports" 1991,"Huahine-Fare Airport","Huahine Island","French Polynesia","HUH","NTTH",-16.68720054626465,-151.02200317382812,7,-10,"U","Pacific/Tahiti","airport","OurAirports" 1992,"Moorea Airport","Moorea","French Polynesia","MOZ","NTTM",-17.49,-149.761993,9,-10,"U","Pacific/Tahiti","airport","OurAirports" 1993,"Hao Airport","Hao Island","French Polynesia","HOI","NTTO",-18.074800491333008,-140.9459991455078,10,-10,"U",\N,"airport","OurAirports" 1994,"Maupiti Airport","Maupiti","French Polynesia","MAU","NTTP",-16.42650032043457,-152.24400329589844,15,-10,"U","Pacific/Tahiti","airport","OurAirports" 1995,"Raiatea Airport","Raiatea Island","French Polynesia","RFP","NTTR",-16.7229,-151.466003,3,-10,"U","Pacific/Tahiti","airport","OurAirports" 1997,"Bauerfield International Airport","Port-vila","Vanuatu","VLI","NVVV",-17.699300765991,168.32000732422,70,11,"U","Pacific/Efate","airport","OurAirports" 1998,"Koné Airport","Kone","New Caledonia","KNQ","NWWD",-21.05430030822754,164.83700561523438,23,11,"U","Pacific/Noumea","airport","OurAirports" 1999,"Koumac Airport","Koumac","New Caledonia","KOC","NWWK",-20.546300888061523,164.25599670410156,42,11,"U","Pacific/Noumea","airport","OurAirports" 2000,"Lifou Airport","Lifou","New Caledonia","LIF","NWWL",-20.774799346923828,167.24000549316406,92,11,"U","Pacific/Noumea","airport","OurAirports" 2001,"Nouméa Magenta Airport","Noumea","New Caledonia","GEA","NWWM",-22.25830078125,166.47300720214844,10,11,"U","Pacific/Noumea","airport","OurAirports" 2002,"Maré Airport","Mare","New Caledonia","MEE","NWWR",-21.481700897216797,168.03799438476562,141,11,"U","Pacific/Noumea","airport","OurAirports" 2003,"Touho Airport","Touho","New Caledonia","TOU","NWWU",-20.790000915527344,165.25900268554688,10,11,"U","Pacific/Noumea","airport","OurAirports" 2004,"Ouvéa Airport","Ouvea","New Caledonia","UVE","NWWV",-20.640600204467773,166.572998046875,23,11,"U","Pacific/Noumea","airport","OurAirports" 2005,"La Tontouta International Airport","Noumea","New Caledonia","NOU","NWWW",-22.01460075378418,166.21299743652344,52,11,"U","Pacific/Noumea","airport","OurAirports" 2006,"Auckland International Airport","Auckland","New Zealand","AKL","NZAA",-37.008098602299995,174.792007446,23,12,"Z","Pacific/Auckland","airport","OurAirports" 2007,"Taupo Airport","Taupo","New Zealand","TUO","NZAP",-38.73970031738281,176.08399963378906,1335,12,"Z","Pacific/Auckland","airport","OurAirports" 2008,"Ardmore Airport","Ardmore","New Zealand","AMZ","NZAR",-37.029701232910156,174.97300720214844,111,12,"Z","Pacific/Auckland","airport","OurAirports" 2009,"Christchurch International Airport","Christchurch","New Zealand","CHC","NZCH",-43.48939895629883,172.53199768066406,123,12,"Z","Pacific/Auckland","airport","OurAirports" 2010,"Chatham Islands-Tuuta Airport","Chatham Island","New Zealand","CHT","NZCI",-43.810001373291016,-176.45700073242188,43,12.75,"Z","Pacific/Chatham","airport","OurAirports" 2011,"Dunedin Airport","Dunedin","New Zealand","DUD","NZDN",-45.9281005859375,170.197998046875,4,12,"Z","Pacific/Auckland","airport","OurAirports" 2012,"Gisborne Airport","Gisborne","New Zealand","GIS","NZGS",-38.663299560546875,177.97799682617188,15,12,"Z","Pacific/Auckland","airport","OurAirports" 2013,"Glentanner Airport","Glentanner","New Zealand","GTN","NZGT",-43.906700134277344,170.1280059814453,1824,12,"Z","Pacific/Auckland","airport","OurAirports" 2014,"Hokitika Airfield","Hokitika","New Zealand","HKK","NZHK",-42.713600158691406,170.98500061035156,146,12,"Z","Pacific/Auckland","airport","OurAirports" 2015,"Hamilton International Airport","Hamilton","New Zealand","HLZ","NZHN",-37.8666992188,175.332000732,172,12,"Z","Pacific/Auckland","airport","OurAirports" 2016,"Hastings Aerodrome","Hastings","New Zealand",\N,"NZHS",-39.646702,176.766998,72,12,"Z","Pacific/Auckland","airport","OurAirports" 2017,"Kerikeri Airport","Kerikeri","New Zealand","KKE","NZKK",-35.26279830932617,173.91200256347656,492,12,"Z","Pacific/Auckland","airport","OurAirports" 2018,"Kaitaia Airport","Kaitaia","New Zealand","KAT","NZKT",-35.06999969482422,173.28500366210938,270,12,"Z","Pacific/Auckland","airport","OurAirports" 2019,"Alexandra Airport","Alexandra","New Zealand","ALR","NZLX",-45.211700439453125,169.3730010986328,752,12,"Z","Pacific/Auckland","airport","OurAirports" 2020,"Mount Cook Airport","Mount Cook","New Zealand","MON","NZMC",-43.76499938964844,170.13299560546875,2153,12,"Z","Pacific/Auckland","airport","OurAirports" 2021,"Manapouri Airport","Manapouri","New Zealand","TEU","NZMO",-45.53310012817383,167.64999389648438,687,12,"Z","Pacific/Auckland","airport","OurAirports" 2022,"Hood Airport","Masterton","New Zealand","MRO","NZMS",-40.97330093383789,175.63400268554688,364,12,"Z","Pacific/Auckland","airport","OurAirports" 2023,"New Plymouth Airport","New Plymouth","New Zealand","NPL","NZNP",-39.00859832763672,174.1790008544922,97,12,"Z","Pacific/Auckland","airport","OurAirports" 2024,"Nelson Airport","Nelson","New Zealand","NSN","NZNS",-41.298301696777344,173.2209930419922,17,12,"Z","Pacific/Auckland","airport","OurAirports" 2025,"Invercargill Airport","Invercargill","New Zealand","IVC","NZNV",-46.41239929199219,168.31300354003906,5,12,"Z","Pacific/Auckland","airport","OurAirports" 2026,"RNZAF Base Ohakea","Ohakea","New Zealand","OHA","NZOH",-40.20600128173828,175.38800048828125,164,12,"Z","Pacific/Auckland","airport","OurAirports" 2027,"Oamaru Airport","Oamaru","New Zealand","OAM","NZOU",-44.970001220703125,171.08200073242188,99,12,"Z","Pacific/Auckland","airport","OurAirports" 2028,"Palmerston North Airport","Palmerston North","New Zealand","PMR","NZPM",-40.32059860229492,175.61700439453125,151,12,"Z","Pacific/Auckland","airport","OurAirports" 2029,"Paraparaumu Airport","Paraparaumu","New Zealand","PPQ","NZPP",-40.904701232910156,174.98899841308594,22,12,"Z","Pacific/Auckland","airport","OurAirports" 2030,"Queenstown International Airport","Queenstown International","New Zealand","ZQN","NZQN",-45.0210990906,168.738998413,1171,12,"Z","Pacific/Auckland","airport","OurAirports" 2031,"Rotorua Regional Airport","Rotorua","New Zealand","ROT","NZRO",-38.10919952392578,176.31700134277344,935,12,"Z","Pacific/Auckland","airport","OurAirports" 2032,"Waiouru Airport","Waiouru","New Zealand",\N,"NZRU",-39.4463996887207,175.6580047607422,2686,12,"Z","Pacific/Auckland","airport","OurAirports" 2033,"South Pole Station Airport","Stephen's Island","Antarctica",\N,"NZSP",-90,0,9300,12,"U","Antarctica/South_Pole","airport","OurAirports" 2034,"Tauranga Airport","Tauranga","New Zealand","TRG","NZTG",-37.67190170288086,176.1959991455078,13,12,"Z","Pacific/Auckland","airport","OurAirports" 2035,"Timaru Airport","Timaru","New Zealand","TIU","NZTU",-44.302799224853516,171.22500610351562,89,12,"Z","Pacific/Auckland","airport","OurAirports" 2036,"Pukaki Airport","Pukaki","New Zealand","TWZ","NZUK",-44.2350006104,170.117996216,1575,12,"Z","Pacific/Auckland","airport","OurAirports" 2037,"Woodbourne Airport","Woodbourne","New Zealand","BHE","NZWB",-41.5182991027832,173.8699951171875,109,12,"Z","Pacific/Auckland","airport","OurAirports" 2038,"Williams Field","Weydon","Antarctica",\N,"NZWD",-77.86740112304688,167.0570068359375,68,12,"N","Antarctica/South_Pole","airport","OurAirports" 2039,"Wanaka Airport","Wanaka","New Zealand","WKA","NZWF",-44.722198486328,169.24600219727,1142,12,"Z","Pacific/Auckland","airport","OurAirports" 2040,"Wigram Airport","Wigram","New Zealand",\N,"NZWG",-43.5511016846,172.552993774,74,12,"Z","Pacific/Auckland","airport","OurAirports" 2041,"Whakatane Airport","Whakatane","New Zealand","WHK","NZWK",-37.92060089111328,176.91400146484375,20,12,"Z","Pacific/Auckland","airport","OurAirports" 2042,"Wellington International Airport","Wellington","New Zealand","WLG","NZWN",-41.3272018433,174.804992676,41,12,"Z","Pacific/Auckland","airport","OurAirports" 2043,"Wairoa Airport","Wairoa","New Zealand","WIR","NZWO",-39.006900787353516,177.40699768066406,42,12,"Z","Pacific/Auckland","airport","OurAirports" 2044,"RNZAF Base Auckland-Whenuapai","Whenuapai","New Zealand",\N,"NZWP",-36.78779983520508,174.6300048828125,100,12,"Z","Pacific/Auckland","airport","OurAirports" 2045,"Whangarei Airport","Whangarei","New Zealand","WRE","NZWR",-35.7682991027832,174.36500549316406,133,12,"Z","Pacific/Auckland","airport","OurAirports" 2046,"Westport Airport","Westport","New Zealand","WSZ","NZWS",-41.73809814453125,171.58099365234375,13,12,"Z","Pacific/Auckland","airport","OurAirports" 2047,"Wanganui Airport","Wanganui","New Zealand","WAG","NZWU",-39.96220016479492,175.02499389648438,27,12,"Z","Pacific/Auckland","airport","OurAirports" 2048,"Herat Airport","Herat","Afghanistan","HEA","OAHR",34.209999084472656,62.22829818725586,3206,4.5,"U","Asia/Kabul","airport","OurAirports" 2049,"Jalalabad Airport","Jalalabad","Afghanistan","JAA","OAJL",34.39979934692383,70.49859619140625,1814,4.5,"U","Asia/Kabul","airport","OurAirports" 2050,"Hamid Karzai International Airport","Kabul","Afghanistan","KBL","OAKB",34.565899,69.212303,5877,4.5,"U","Asia/Kabul","airport","OurAirports" 2051,"Kandahar Airport","Kandahar","Afghanistan","KDH","OAKN",31.505800247192383,65.8478012084961,3337,4.5,"U","Asia/Kabul","airport","OurAirports" 2052,"Maimana Airport","Maimama","Afghanistan","MMZ","OAMN",35.93080139160156,64.76090240478516,2743,4.5,"U","Asia/Kabul","airport","OurAirports" 2053,"Mazar I Sharif Airport","Mazar-i-sharif","Afghanistan","MZR","OAMS",36.70690155029297,67.20970153808594,1284,4.5,"U","Asia/Kabul","airport","OurAirports" 2054,"Shindand Airport","Shindand","Afghanistan","OAH","OASD",33.3913002014,62.2610015869,3773,4.5,"U","Asia/Kabul","airport","OurAirports" 2055,"Sheberghan Airport","Sheberghan","Afghanistan",\N,"OASG",36.75080108642578,65.91320037841797,1053,4.5,"U","Asia/Kabul","airport","OurAirports" 2056,"Konduz Airport","Kunduz","Afghanistan","UND","OAUZ",36.66510009765625,68.91079711914062,1457,4.5,"U","Asia/Kabul","airport","OurAirports" 2057,"Bahrain International Airport","Bahrain","Bahrain","BAH","OBBI",26.27079963684082,50.63359832763672,6,3,"U","Asia/Bahrain","airport","OurAirports" 2058,"Sheik Isa Air Base","Bahrain","Bahrain",\N,"OBBS",25.918399810791016,50.590599060058594,136,3,"U","Asia/Bahrain","airport","OurAirports" 2059,"Abha Regional Airport","Abha","Saudi Arabia","AHB","OEAB",18.240400314299997,42.65660095210001,6858,3,"U","Asia/Riyadh","airport","OurAirports" 2060,"Al Ahsa Airport","Al-ahsa","Saudi Arabia","HOF","OEAH",25.28529930114746,49.485198974609375,588,3,"U","Asia/Riyadh","airport","OurAirports" 2061,"Al Baha Airport","El-baha","Saudi Arabia","ABT","OEBA",20.2961006165,41.6343002319,5486,3,"U","Asia/Riyadh","airport","OurAirports" 2062,"Bisha Airport","Bisha","Saudi Arabia","BHH","OEBH",19.984399795532227,42.62089920043945,3887,3,"U","Asia/Riyadh","airport","OurAirports" 2063,"Abqaiq Airport","Abqaiq","Saudi Arabia",\N,"OEBQ",25.911300659179688,49.59120178222656,229,3,"U","Asia/Riyadh","airport","OurAirports" 2064,"King Fahd International Airport","Dammam","Saudi Arabia","DMM","OEDF",26.471200942993164,49.79790115356445,72,3,"U","Asia/Riyadh","airport","OurAirports" 2065,"King Abdulaziz Air Base","Dhahran","Saudi Arabia","DHA","OEDR",26.265399932900003,50.152000427199994,84,3,"U","Asia/Riyadh","airport","OurAirports" 2066,"Jizan Regional Airport","Gizan","Saudi Arabia","GIZ","OEGN",16.901100158691406,42.58580017089844,20,3,"U","Asia/Riyadh","airport","OurAirports" 2067,"Gassim Airport","Gassim","Saudi Arabia","ELQ","OEGS",26.302799224853516,43.77439880371094,2126,3,"U","Asia/Riyadh","airport","OurAirports" 2068,"Gurayat Domestic Airport","Guriat","Saudi Arabia","URY","OEGT",31.412413,37.278898,1672,3,"U","Asia/Riyadh","airport","OurAirports" 2069,"Ha'il Airport","Hail","Saudi Arabia","HAS","OEHL",27.437901,41.686298,3331,3,"U","Asia/Riyadh","airport","OurAirports" 2070,"Jubail Airport","Jubail","Saudi Arabia","QJB","OEJB",27.038999557495117,49.40510177612305,26,3,"U","Asia/Riyadh","airport","OurAirports" 2071,"King Faisal Naval Base","Jeddah","Saudi Arabia",\N,"OEJF",21.348100662231445,39.17300033569336,7,3,"U","Asia/Riyadh","airport","OurAirports" 2072,"King Abdulaziz International Airport","Jeddah","Saudi Arabia","JED","OEJN",21.6796,39.156502,48,3,"U","Asia/Riyadh","airport","OurAirports" 2073,"King Khaled Military City Airport","King Khalid Mil.city","Saudi Arabia","KMC","OEKK",27.9009,45.528198,1352,3,"U","Asia/Riyadh","airport","OurAirports" 2074,"Prince Mohammad Bin Abdulaziz Airport","Madinah","Saudi Arabia","MED","OEMA",24.5534,39.705101,2151,3,"U","Asia/Riyadh","airport","OurAirports" 2075,"Nejran Airport","Nejran","Saudi Arabia","EAM","OENG",17.611400604248047,44.4192008972168,3982,3,"U","Asia/Riyadh","airport","OurAirports" 2076,"Al Qaisumah/Hafr Al Batin Airport","Hafr Al-batin","Saudi Arabia","AQI","OEPA",28.335199,46.125099,1174,3,"U","Asia/Riyadh","airport","OurAirports" 2077,"Pump Station 3 Airport","Petroline 3","Saudi Arabia",\N,"OEPC",25.17449951171875,47.488399505615234,1740,3,"U","Asia/Riyadh","airport","OurAirports" 2078,"Pump Station 6 Airport","Petroline 6","Saudi Arabia",\N,"OEPF",24.71030044555664,44.964500427246094,2530,3,"U","Asia/Riyadh","airport","OurAirports" 2079,"Pump Station 10 Airport","Petroline 10","Saudi Arabia",\N,"OEPJ",24.1072998046875,41.0359992980957,2840,3,"U","Asia/Riyadh","airport","OurAirports" 2080,"Rabigh Airport","Rabigh","Saudi Arabia",\N,"OERB",22.702600479125977,39.069801330566406,22,3,"U","Asia/Riyadh","airport","OurAirports" 2081,"Rafha Domestic Airport","Rafha","Saudi Arabia","RAH","OERF",29.626399993896484,43.4906005859375,1474,3,"U","Asia/Riyadh","airport","OurAirports" 2082,"King Khaled International Airport","Riyadh","Saudi Arabia","RUH","OERK",24.957599639892578,46.69879913330078,2049,3,"U","Asia/Riyadh","airport","OurAirports" 2083,"Ras Mishab Airport","Rash Mishab","Saudi Arabia",\N,"OERM",28.079599380493164,48.611000061035156,13,3,"U","Asia/Riyadh","airport","OurAirports" 2084,"Arar Domestic Airport","Arar","Saudi Arabia","RAE","OERR",30.906600952148438,41.13819885253906,1813,3,"U","Asia/Riyadh","airport","OurAirports" 2085,"Ras Tanura Airport","Ras Tanura","Saudi Arabia",\N,"OERT",26.723100662231445,50.030799865722656,6,3,"U","Asia/Riyadh","airport","OurAirports" 2086,"Sharurah Airport","Sharurah","Saudi Arabia","SHW","OESH",17.466899871826172,47.12139892578125,2363,3,"U","Asia/Riyadh","airport","OurAirports" 2088,"Sulayel Airport","Sulayel","Saudi Arabia","SLF","OESL",20.46470069885254,45.619598388671875,2021,3,"U","Asia/Riyadh","airport","OurAirports" 2089,"Tabuk Airport","Tabuk","Saudi Arabia","TUU","OETB",28.3654,36.6189,2551,3,"U","Asia/Riyadh","airport","OurAirports" 2090,"Ta’if Regional Airport","Taif","Saudi Arabia","TIF","OETF",21.483001,40.543442,4848,3,"U","Asia/Riyadh","airport","OurAirports" 2091,"Thumamah Airport","Thumamah","Saudi Arabia",\N,"OETH",25.21299934387207,46.64099884033203,1870,3,"U","Asia/Riyadh","airport","OurAirports" 2092,"Ras Tanajib Airport","Ras Tanajib","Saudi Arabia",\N,"OETN",27.867799758911133,48.769100189208984,30,3,"U","Asia/Riyadh","airport","OurAirports" 2093,"Turaif Domestic Airport","Turaif","Saudi Arabia","TUI","OETR",31.692188,38.731544,2803,3,"U","Asia/Riyadh","airport","OurAirports" 2095,"Al Wajh Domestic Airport","Wejh","Saudi Arabia","EJH","OEWJ",26.19860076904297,36.47639846801758,66,3,"U","Asia/Riyadh","airport","OurAirports" 2096,"Prince Abdulmohsin Bin Abdulaziz Airport","Yenbo","Saudi Arabia","YNB","OEYN",24.144199,38.0634,26,3,"U","Asia/Riyadh","airport","OurAirports" 2097,"Abadan Airport","Abadan","Iran","ABD","OIAA",30.371099472,48.2282981873,10,3.5,"E","Asia/Tehran","airport","OurAirports" 2098,"Dezful Airport","Dezful","Iran","DEF","OIAD",32.434399,48.397598,474,3.5,"E","Asia/Tehran","airport","OurAirports" 2099,"Aghajari Airport","Aghajari","Iran","AKW","OIAG",30.7444,49.6772,88,3.5,"E","Asia/Tehran","airport","OurAirports" 2100,"Gachsaran Airport","Gachsaran","Iran","GCH","OIAH",30.337600708,50.827999115,2414,3.5,"E","Asia/Tehran","airport","OurAirports" 2101,"Shahid Asyaee Airport","Masjed Soleiman","Iran",\N,"OIAI",32.00239944458008,49.27040100097656,1206,3.5,"E","Asia/Tehran","airport","OurAirports" 2102,"Omidiyeh Airport","Omidyeh","Iran","OMI","OIAJ",30.8351993560791,49.5349006652832,85,3.5,"E","Asia/Tehran","airport","OurAirports" 2103,"Mahshahr Airport","Bandar Mahshahr","Iran","MRX","OIAM",30.55620002746582,49.15190124511719,8,3.5,"E","Asia/Tehran","airport","OurAirports" 2104,"Ahwaz Airport","Ahwaz","Iran","AWZ","OIAW",31.337400436399996,48.7620010376,66,3.5,"E","Asia/Tehran","airport","OurAirports" 2105,"Abu Musa Island Airport","Abumusa I.","Iran","AEU","OIBA",25.8757,55.033001,23,3.5,"E","Asia/Tehran","airport","OurAirports" 2106,"Bushehr Airport","Bushehr","Iran","BUZ","OIBB",28.9447994232,50.8345985413,68,3.5,"E","Asia/Tehran","airport","OurAirports" 2107,"Bastak Airport","Bastak","Iran",\N,"OIBH",27.21269989013672,54.318599700927734,1350,3.5,"E","Asia/Tehran","airport","OurAirports" 2108,"Asaloyeh Airport","Golbandi","Iran",\N,"OIBI",27.4814,52.615501,15,3.5,"E","Asia/Tehran","airport","OurAirports" 2109,"Kish International Airport","Kish Island","Iran","KIH","OIBK",26.5261993408,53.980201721200004,101,3.5,"E","Asia/Tehran","airport","OurAirports" 2110,"Bandar Lengeh Airport","Bandar Lengeh","Iran","BDH","OIBL",26.531999588,54.824798584,67,3.5,"E","Asia/Tehran","airport","OurAirports" 2111,"Khark Island Airport","Khark Island","Iran","KHK","OIBQ",29.260299682617188,50.32389831542969,17,3.5,"E","Asia/Tehran","airport","OurAirports" 2112,"Sirri Island Airport","Siri Island","Iran","SXI","OIBS",25.908899307250977,54.539398193359375,43,3.5,"E","Asia/Tehran","airport","OurAirports" 2113,"Lavan Island Airport","Lavan Island","Iran","LVP","OIBV",26.810300827026367,53.356300354003906,76,3.5,"E","Asia/Tehran","airport","OurAirports" 2114,"Shahid Ashrafi Esfahani Airport","Bakhtaran","Iran","KSH","OICC",34.3459014893,47.1581001282,4307,3.5,"E","Asia/Tehran","airport","OurAirports" 2117,"Sanandaj Airport","Sanandaj","Iran","SDG","OICS",35.24589920043945,47.00920104980469,4522,3.5,"E","Asia/Tehran","airport","OurAirports" 2118,"Hesa Airport","Daran","Iran","IFH","OIFE",32.92890167236328,51.561100006103516,5256,3.5,"E","Asia/Tehran","airport","OurAirports" 2119,"Shahid Vatan Pour Air Base","Esfahan","Iran",\N,"OIFH",32.56700134277344,51.69160079956055,5310,3.5,"E","Asia/Tehran","airport","OurAirports" 2120,"Kashan Airport","Kashan","Iran","KKS","OIFK",33.895302,51.577,3465,3.5,"E","Asia/Tehran","airport","OurAirports" 2121,"Esfahan Shahid Beheshti International Airport","Esfahan","Iran","IFN","OIFM",32.75080108642578,51.86130142211914,5059,3.5,"E","Asia/Tehran","airport","OurAirports" 2122,"Badr Air Base","Sepah","Iran",\N,"OIFP",32.62110137939453,51.696998596191406,5242,3.5,"E","Asia/Tehran","airport","OurAirports" 2123,"Sardar-e-Jangal Airport","Rasht","Iran","RAS","OIGG",37.323333,49.617778,-40,3.5,"E","Asia/Tehran","airport","OurAirports" 2125,"Arak Airport","Arak","Iran","AJK","OIHR",34.138099670410156,49.8473014831543,5440,3.5,"E","Asia/Tehran","airport","OurAirports" 2126,"Ghazvin Azadi Airport","Abe-ali","Iran",\N,"OIIA",35.95209884643555,50.450801849365234,3769,3.5,"E","Asia/Tehran","airport","OurAirports" 2127,"Kushke Nosrat Airport","Kushke Nosrat","Iran",\N,"OIIC",34.98400115966797,50.80619812011719,3008,3.5,"E","Asia/Tehran","airport","OurAirports" 2128,"Doshan Tappeh Air Base","Teheran","Iran",\N,"OIID",35.702999114990234,51.475101470947266,4046,3.5,"E","Asia/Tehran","airport","OurAirports" 2130,"Ghale Morghi Airport","Teheran","Iran",\N,"OIIG",35.644798278808594,51.380699157714844,3627,3.5,"E","Asia/Tehran","airport","OurAirports" 2131,"Mehrabad International Airport","Teheran","Iran","THR","OIII",35.68920135498047,51.31340026855469,3962,3.5,"E","Asia/Tehran","airport","OurAirports" 2132,"Qazvin Airport","Ghazvin","Iran","GZW","OIIK",36.240101,50.0471,4184,3.5,"E","Asia/Tehran","airport","OurAirports" 2133,"Naja Airport","Khoram Dareh","Iran",\N,"OIIM",35.77629852294922,50.88100051879883,4040,3.5,"E","Asia/Tehran","airport","OurAirports" 2134,"Bandar Abbas International Airport","Bandar Abbas","Iran","BND","OIKB",27.218299865722656,56.37779998779297,22,3.5,"E","Asia/Tehran","airport","OurAirports" 2135,"Jiroft Airport","Jiroft","Iran","JYR","OIKJ",28.726900100699996,57.67029953,2663,3.5,"E","Asia/Tehran","airport","OurAirports" 2136,"Kerman Airport","Kerman","Iran","KER","OIKK",30.274400711099997,56.9510993958,5741,3.5,"E","Asia/Tehran","airport","OurAirports" 2138,"Havadarya Airport","Bandar Abbas","Iran","HDR","OIKP",27.158300399780273,56.17250061035156,19,3.5,"E","Asia/Tehran","airport","OurAirports" 2139,"Dayrestan Airport","Gheshm I.","Iran",\N,"OIKQ",26.754600524902344,55.902400970458984,45,3.5,"E","Asia/Tehran","airport","OurAirports" 2141,"Sirjan Airport","Sirjan","Iran","SYJ","OIKY",29.550899505615234,55.672698974609375,5846,3.5,"E","Asia/Tehran","airport","OurAirports" 2142,"Birjand Airport","Birjand","Iran","XBJ","OIMB",32.898101806640625,59.2661018371582,4952,3.5,"E","Asia/Tehran","airport","OurAirports" 2143,"Sarakhs Airport","Sarakhs","Iran","CKT","OIMC",36.50120162963867,61.06489944458008,945,3.5,"E","Asia/Tehran","airport","OurAirports" 2144,"Shahroud Airport","Emam Shahr","Iran","RUD","OIMJ",36.4253005981,55.104198455799995,4215,3.5,"E","Asia/Tehran","airport","OurAirports" 2147,"Tabas Airport","Tabas","Iran","TCX","OIMT",33.6678009033,56.8927001953,2312,3.5,"E","Asia/Tehran","airport","OurAirports" 2148,"Kalaleh Airport","Kalaleh","Iran","KLM","OINE",37.3833007812,55.4519996643,425,3.5,"E","Asia/Tehran","airport","OurAirports" 2151,"Ramsar Airport","Ramsar","Iran","RZR","OINR",36.9099006652832,50.67959976196289,-70,3.5,"E","Asia/Tehran","airport","OurAirports" 2153,"Fasa Airport","Fasa","Iran","FAZ","OISF",28.891799926757812,53.72330093383789,4261,3.5,"E","Asia/Tehran","airport","OurAirports" 2154,"Jahrom Airport","Jahrom","Iran","JAR","OISJ",28.586700439499996,53.5791015625,3358,3.5,"E","Asia/Tehran","airport","OurAirports" 2156,"Lamerd Airport","Lamerd","Iran","LFM","OISR",27.3726997375,53.18880081179999,1337,3.5,"E","Asia/Tehran","airport","OurAirports" 2157,"Shiraz Shahid Dastghaib International Airport","Shiraz","Iran","SYZ","OISS",29.539199829101562,52.58980178833008,4920,3.5,"E","Asia/Tehran","airport","OurAirports" 2158,"Khoy Airport","Khoy","Iran","KHY","OITK",38.4275016784668,44.97359848022461,3981,3.5,"E","Asia/Tehran","airport","OurAirports" 2162,"Tabriz International Airport","Tabriz","Iran","TBZ","OITT",38.1338996887207,46.23500061035156,4459,3.5,"E","Asia/Tehran","airport","OurAirports" 2163,"Zanjan Airport","Zanjan","Iran","JWN","OITZ",36.7737007141,48.3594017029,5382,3.5,"E","Asia/Tehran","airport","OurAirports" 2164,"Shahid Sadooghi Airport","Yazd","Iran","AZD","OIYY",31.9048995972,54.2765007019,4054,3.5,"E","Asia/Tehran","airport","OurAirports" 2165,"Zabol Airport","Zabol","Iran","ACZ","OIZB",31.09830093383789,61.54389953613281,1628,3.5,"E","Asia/Tehran","airport","OurAirports" 2166,"Konarak Airport","Chah Bahar","Iran","ZBR","OIZC",25.443300247199996,60.3820991516,43,3.5,"E","Asia/Tehran","airport","OurAirports" 2167,"Zahedan International Airport","Zahedan","Iran","ZAH","OIZH",29.47570037841797,60.90620040893555,4564,3.5,"E","Asia/Tehran","airport","OurAirports" 2168,"Iran Shahr Airport","Iran Shahr","Iran","IHR","OIZI",27.2360992432,60.7200012207,2040,3.5,"E","Asia/Tehran","airport","OurAirports" 2169,"Saravan Airport","Saravan","Iran",\N,"OIZS",27.419300079345703,62.315799713134766,3930,3.5,"E","Asia/Tehran","airport","OurAirports" 2170,"Queen Alia International Airport","Amman","Jordan","AMM","OJAI",31.7226009369,35.9931983948,2395,2,"E","Asia/Amman","airport","OurAirports" 2171,"Amman-Marka International Airport","Amman","Jordan","ADJ","OJAM",31.972700119018555,35.991600036621094,2555,2,"E","Asia/Amman","airport","OurAirports" 2172,"Aqaba King Hussein International Airport","Aqaba","Jordan","AQJ","OJAQ",29.611600875854492,35.01810073852539,175,2,"E","Asia/Amman","airport","OurAirports" 2173,"Prince Hassan Air Base","Hotel Four","Jordan",\N,"OJHF",32.160702,37.149399,2220,2,"E","Asia/Amman","airport","OurAirports" 2174,"Jerusalem Airport","Jerusalem","West Bank",\N,"OJJR",31.864700317383,35.219200134277,2485,2,"U","Asia/Jerusalem","airport","OurAirports" 2175,"King Hussein Air College","Mafraq","Jordan","OMF","OJMF",32.3564,36.259201,2240,2,"E","Asia/Amman","airport","OurAirports" 2176,"Kuwait International Airport","Kuwait","Kuwait","KWI","OKBK",29.226600646972656,47.96889877319336,206,3,"U","Asia/Kuwait","airport","OurAirports" 2177,"Beirut Rafic Hariri International Airport","Beirut","Lebanon","BEY","OLBA",33.820899963378906,35.488399505615234,87,2,"E","Asia/Beirut","airport","OurAirports" 2178,"Rene Mouawad Air Base","Kleiat","Lebanon","KYE","OLKA",34.589298248291016,36.01129913330078,75,2,"E","Asia/Beirut","airport","OurAirports" 2179,"Abu Dhabi International Airport","Abu Dhabi","United Arab Emirates","AUH","OMAA",24.433000564575195,54.651100158691406,88,4,"U","Asia/Dubai","airport","OurAirports" 2180,"Bateen Airport","Abu Dhabi","United Arab Emirates","AZI","OMAD",24.428300857543945,54.458099365234375,16,4,"U","Asia/Dubai","airport","OurAirports" 2181,"Al Hamra Aux Airport","Al Hamra","United Arab Emirates",\N,"OMAH",24.073999404907227,52.463600158691406,50,4,"U","Asia/Dubai","airport","OurAirports" 2182,"Jebel Dhana Airport","Jebel Dhana","United Arab Emirates",\N,"OMAJ",24.187400817871094,52.61399841308594,43,4,"U","Asia/Dubai","airport","OurAirports" 2184,"Al Dhafra Air Base","Abu Dhabi","United Arab Emirates","DHF","OMAM",24.248199462900004,54.547698974599996,77,4,"U","Asia/Dubai","airport","OurAirports" 2185,"Arzanah Airport","Arzana","United Arab Emirates",\N,"OMAR",24.780500411987305,52.559898376464844,15,4,"U","Asia/Dubai","airport","OurAirports" 2186,"Das Island Airport","Das Island","United Arab Emirates",\N,"OMAS",25.14620018005371,52.87369918823242,12,4,"U","Asia/Dubai","airport","OurAirports" 2187,"Zirku Airport","Zirku","United Arab Emirates",\N,"OMAZ",24.862491607666016,53.07714080810547,14,4,"U","Asia/Dubai","airport","OurAirports" 2188,"Dubai International Airport","Dubai","United Arab Emirates","DXB","OMDB",25.2527999878,55.3643989563,62,4,"U","Asia/Dubai","airport","OurAirports" 2189,"Fujairah International Airport","Fujeirah","United Arab Emirates","FJR","OMFJ",25.112199783325195,56.32400131225586,152,4,"U","Asia/Dubai","airport","OurAirports" 2190,"Ras Al Khaimah International Airport","Ras Al Khaimah","United Arab Emirates","RKT","OMRK",25.613500595092773,55.93880081176758,102,4,"U","Asia/Dubai","airport","OurAirports" 2191,"Sharjah International Airport","Sharjah","United Arab Emirates","SHJ","OMSJ",25.32859992980957,55.5172004699707,111,4,"U","Asia/Dubai","airport","OurAirports" 2192,"Khasab Air Base","Khasab","Oman","KHS","OOKB",26.17099952697754,56.2406005859375,100,4,"U","Asia/Muscat","airport","OurAirports" 2193,"Masirah Air Base","Masirah","Oman","MSH","OOMA",20.675399780273438,58.890499114990234,64,4,"U","Asia/Muscat","airport","OurAirports" 2194,"Muscat International Airport","Muscat","Oman","MCT","OOMS",23.593299865722656,58.284400939941406,48,4,"U","Asia/Muscat","airport","OurAirports" 2195,"Salalah Airport","Salalah","Oman","SLL","OOSA",17.038700103759766,54.09130096435547,73,4,"U","Asia/Muscat","airport","OurAirports" 2196,"Thumrait Air Base","Thumrait","Oman","TTH","OOTH",17.666000366210938,54.024600982666016,1570,4,"U","Asia/Muscat","airport","OurAirports" 2197,"Bhagatanwala Airport","Bhagtanwala","Pakistan","BHW","OPBG",32.056098938,72.94840240479999,600,5,"N","Asia/Karachi","airport","OurAirports" 2202,"Faisalabad International Airport","Faisalabad","Pakistan","LYP","OPFA",31.364999771118164,72.99479675292969,591,5,"N","Asia/Karachi","airport","OurAirports" 2203,"Gwadar International Airport","Gwadar","Pakistan","GWD","OPGD",25.233299255371094,62.329498291015625,36,5,"N","Asia/Karachi","airport","OurAirports" 2204,"Gilgit Airport","Gilgit","Pakistan","GIL","OPGT",35.918800354003906,74.33360290527344,4796,5,"N","Asia/Karachi","airport","OurAirports" 2205,"Shahbaz Air Base","Jacobsbad","Pakistan","JAG","OPJA",28.28420066833496,68.44969940185547,185,5,"N","Asia/Karachi","airport","OurAirports" 2206,"Jinnah International Airport","Karachi","Pakistan","KHI","OPKC",24.9065,67.160797,100,5,"N","Asia/Karachi","airport","OurAirports" 2207,"Alama Iqbal International Airport","Lahore","Pakistan","LHE","OPLA",31.5216007232666,74.40360260009766,712,5,"N","Asia/Karachi","airport","OurAirports" 2208,"Walton Airport","Lahore","Pakistan",\N,"OPLH",31.494800567626953,74.34619903564453,679,5,"N","Asia/Karachi","airport","OurAirports" 2209,"Mangla Airport","Mangla","Pakistan","XJM","OPMA",33.05009841918945,73.63839721679688,902,5,"N","Asia/Karachi","airport","OurAirports" 2210,"Muzaffarabad Airport","Muzaffarabad","Pakistan","MFG","OPMF",34.3390007019043,73.50859832763672,2691,5,"N","Asia/Karachi","airport","OurAirports" 2211,"Mianwali Air Base","Mianwali","Pakistan","MWD","OPMI",32.5630989074707,71.5707015991211,690,5,"N","Asia/Karachi","airport","OurAirports" 2212,"Moenjodaro Airport","Moenjodaro","Pakistan","MJD","OPMJ",27.3351993560791,68.14309692382812,154,5,"N","Asia/Karachi","airport","OurAirports" 2213,"Masroor Air Base","Karachi","Pakistan",\N,"OPMR",24.893600463867188,66.93879699707031,35,5,"N","Asia/Karachi","airport","OurAirports" 2214,"Multan International Airport","Multan","Pakistan","MUX","OPMT",30.20319938659668,71.41909790039062,403,5,"N","Asia/Karachi","airport","OurAirports" 2215,"Shaheed Benazirabad Airport","Nawabshah","Pakistan","WNS","OPNH",26.2194,68.390099,95,5,"N","Asia/Karachi","airport","OurAirports" 2216,"Okara Cantonment Airstrip","Okara","Pakistan",\N,"OPOK",30.740999221800003,73.3576965332,568,5,"N","Asia/Karachi","airport","OurAirports" 2217,"Panjgur Airport","Panjgur","Pakistan","PJG","OPPG",26.954500198364258,64.13249969482422,3289,5,"N","Asia/Karachi","airport","OurAirports" 2218,"Pasni Airport","Pasni","Pakistan","PSI","OPPI",25.29050064086914,63.34510040283203,33,5,"N","Asia/Karachi","airport","OurAirports" 2219,"Peshawar International Airport","Peshawar","Pakistan","PEW","OPPS",33.993900299072266,71.51460266113281,1158,5,"N","Asia/Karachi","airport","OurAirports" 2220,"Qasim Airport","Qasim","Pakistan",\N,"OPQS",33.56019973754883,73.033203125,1581,5,"N","Asia/Karachi","airport","OurAirports" 2221,"Quetta International Airport","Quetta","Pakistan","UET","OPQT",30.251399993896484,66.93779754638672,5267,5,"N","Asia/Karachi","airport","OurAirports" 2222,"Shaikh Zaid Airport","Rahim Yar Khan","Pakistan","RYK","OPRK",28.383899688720703,70.27960205078125,271,5,"N","Asia/Karachi","airport","OurAirports" 2223,"Benazir Bhutto International Airport","Islamabad","Pakistan",\N,"OPRN",33.616699,73.099197,1668,5,"N","Asia/Karachi","airport","OurAirports" 2224,"Risalpur Air Base","Risalpur","Pakistan",\N,"OPRS",34.08110046386719,71.97260284423828,1050,5,"N","Asia/Karachi","airport","OurAirports" 2225,"Rawalakot Airport","Rawala Kot","Pakistan","RAZ","OPRT",33.849700927734375,73.79810333251953,5479,5,"N","Asia/Karachi","airport","OurAirports" 2227,"Sukkur Airport","Sukkur","Pakistan","SKZ","OPSK",27.722000122070312,68.79170227050781,196,5,"N","Asia/Karachi","airport","OurAirports" 2228,"Saidu Sharif Airport","Saidu Sharif","Pakistan","SDT","OPSS",34.8135986328125,72.35279846191406,3183,5,"N","Asia/Karachi","airport","OurAirports" 2229,"Sui Airport","Sui","Pakistan","SUL","OPSU",28.645099639892578,69.1769027709961,763,5,"N","Asia/Karachi","airport","OurAirports" 2230,"Talhar Airport","Talhar","Pakistan","BDN","OPTH",24.84149932861328,68.8384017944336,28,5,"N","Asia/Karachi","airport","OurAirports" 2232,"Wana Airport","Wana","Pakistan","WAF","OPWN",32.3046989440918,69.57039642333984,4550,5,"N","Asia/Karachi","airport","OurAirports" 2233,"Zhob Airport","Zhob","Pakistan","PZH","OPZB",31.358400344848633,69.4636001586914,4728,5,"N","Asia/Karachi","airport","OurAirports" 2234,"Basrah International Airport","Basrah","Iraq","BSR","ORMM",30.549100875854492,47.66210174560547,11,3,"U","Asia/Baghdad","airport","OurAirports" 2235,"Aleppo International Airport","Aleppo","Syria","ALP","OSAP",36.18069839477539,37.22439956665039,1276,2,"E","Asia/Damascus","airport","OurAirports" 2236,"Damascus International Airport","Damascus","Syria","DAM","OSDI",33.4114990234375,36.51559829711914,2020,2,"E","Asia/Damascus","airport","OurAirports" 2237,"Deir ez-Zor Air Base","Deire Zor","Syria","DEZ","OSDZ",35.2854,40.175999,700,2,"E","Asia/Damascus","airport","OurAirports" 2239,"Bassel Al-Assad International Airport","Latakia","Syria","LTK","OSLK",35.401100158691406,35.948699951171875,157,2,"E","Asia/Damascus","airport","OurAirports" 2240,"Palmyra Airport","Palmyra","Syria","PMS","OSPR",34.5574,38.316898,1322,2,"E","Asia/Damascus","airport","OurAirports" 2241,"Doha International Airport","Doha","Qatar","DIA","OTBD",25.261101,51.565102,35,3,"U","Asia/Qatar","airport","OurAirports" 2242,"Canton Island Airport","Canton Island","Kiribati","CIS","PCIS",-2.7681200504300003,-171.710006714,9,13,"U","Pacific/Enderbury","airport","OurAirports" 2243,"Rota International Airport","Rota","Northern Mariana Islands","ROP","PGRO",14.174300193786621,145.2429962158203,607,10,"U","Pacific/Saipan","airport","OurAirports" 2244,"Saipan International Airport","Saipan","Northern Mariana Islands","SPN","PGSN",15.119,145.729004,215,10,"U","Pacific/Saipan","airport","OurAirports" 2245,"Andersen Air Force Base","Andersen","Guam","UAM","PGUA",13.584,144.929998,627,10,"U","Pacific/Guam","airport","OurAirports" 2246,"Antonio B. Won Pat International Airport","Agana","Guam","GUM","PGUM",13.4834003448,144.796005249,298,10,"U","Pacific/Guam","airport","OurAirports" 2247,"Tinian International Airport","West Tinian","Northern Mariana Islands","TIQ","PGWT",14.999199867248535,145.61900329589844,271,10,"U","Pacific/Saipan","airport","OurAirports" 2249,"Marshall Islands International Airport","Majuro","Marshall Islands","MAJ","PKMJ",7.064760208129883,171.27200317382812,6,12,"U","Pacific/Majuro","airport","OurAirports" 2250,"Dyess Army Air Field","Kwajalein","Marshall Islands",\N,"PKRO",9.396889686580002,167.470993042,9,12,"U","Pacific/Majuro","airport","OurAirports" 2251,"Bucholz Army Air Field","Kwajalein","Marshall Islands","KWA","PKWA",8.720120429992676,167.73199462890625,9,12,"U","Pacific/Majuro","airport","OurAirports" 2252,"Cassidy International Airport","Kiritimati","Kiribati","CXI","PLCH",1.9861600399017334,-157.35000610351562,5,-12,"U",\N,"airport","OurAirports" 2253,"Henderson Field","Midway","Midway Islands","MDY","PMDY",28.20170021057129,-177.38099670410156,13,-11,"U","Pacific/Midway","airport","OurAirports" 2254,"Chuuk International Airport","Chuuk","Micronesia","TKK","PTKK",7.461870193481445,151.84300231933594,11,10,"U","Pacific/Truk","airport","OurAirports" 2255,"Pohnpei International Airport","Pohnpei","Micronesia","PNI","PTPN",6.985099792480469,158.20899963378906,10,11,"U","Pacific/Ponape","airport","OurAirports" 2256,"Babelthuap Airport","Babelthuap","Palau","ROR","PTRO",7.36731,134.544236,176,9,"U","Pacific/Palau","airport","OurAirports" 2257,"Kosrae International Airport","Kosrae","Micronesia","KSA","PTSA",5.35698,162.957993,11,11,"U","Pacific/Kosrae","airport","OurAirports" 2258,"Yap International Airport","Yap","Micronesia","YAP","PTYA",9.49891,138.082993,91,10,"U","Pacific/Truk","airport","OurAirports" 2259,"Kinmen Airport","Kinmen","Taiwan","KNH","RCBS",24.4279,118.359001,93,8,"U","Asia/Taipei","airport","OurAirports" 2260,"Pingtung South Airport","Pingtung","Taiwan",\N,"RCDC",22.672399520874023,120.46199798583984,78,8,"U","Asia/Taipei","airport","OurAirports" 2261,"Longtan Air Base","Longtang","Taiwan",\N,"RCDI",24.855100631713867,121.23799896240234,790,8,"U","Asia/Taipei","airport","OurAirports" 2262,"Taitung Airport","Fengnin","Taiwan","TTT","RCFN",22.7549991607666,121.10199737548828,143,8,"U","Asia/Taipei","airport","OurAirports" 2263,"Lyudao Airport","Green Island","Taiwan","GNI","RCGI",22.673900604248047,121.46600341796875,28,8,"U","Asia/Taipei","airport","OurAirports" 2264,"Kaohsiung International Airport","Kaohsiung","Taiwan","KHH","RCKH",22.57710075378418,120.3499984741211,31,8,"U","Asia/Taipei","airport","OurAirports" 2265,"Chiayi Airport","Chiayi","Taiwan","CYI","RCKU",23.46179962158203,120.39299774169922,85,8,"U","Asia/Taipei","airport","OurAirports" 2267,"Lanyu Airport","Lanyu","Taiwan","KYD","RCLY",22.027000427246094,121.53500366210938,44,8,"U","Asia/Taipei","airport","OurAirports" 2268,"Taichung Ching Chuang Kang Airport","Taichung","Taiwan","RMQ","RCMQ",24.264699935913086,120.62100219726562,663,8,"N","Asia/Taipei","airport","OurAirports" 2270,"Tainan Airport","Tainan","Taiwan","TNN","RCNN",22.95039939880371,120.20600128173828,63,8,"U","Asia/Taipei","airport","OurAirports" 2271,"Hsinchu Air Base","Hsinchu","Taiwan","HSZ","RCPO",24.8180007935,120.939002991,26,8,"U","Asia/Taipei","airport","OurAirports" 2272,"Makung Airport","Makung","Taiwan","MZG","RCQC",23.568700790405273,119.62799835205078,103,8,"U","Asia/Taipei","airport","OurAirports" 2273,"Chihhang Air Base","Taitung","Taiwan",\N,"RCQS",22.793100357055664,121.18199920654297,121,8,"U","Asia/Taipei","airport","OurAirports" 2274,"Pingtung North Airport","Pingtung","Taiwan","PIF","RCSQ",22.700199127197266,120.48200225830078,97,8,"U","Asia/Taipei","airport","OurAirports" 2275,"Taipei Songshan Airport","Taipei","Taiwan","TSA","RCSS",25.069400787353516,121.552001953125,18,8,"U","Asia/Taipei","airport","OurAirports" 2276,"Taiwan Taoyuan International Airport","Taipei","Taiwan","TPE","RCTP",25.0777,121.233002,106,8,"U","Asia/Taipei","airport","OurAirports" 2277,"Wang-an Airport","Wang An","Taiwan","WOT","RCWA",23.367372512817383,119.50277709960938,115,8,"U","Asia/Taipei","airport","OurAirports" 2278,"Hualien Airport","Hualien","Taiwan","HUN","RCYU",24.023099899291992,121.61799621582031,52,8,"U","Asia/Taipei","airport","OurAirports" 2279,"Narita International Airport","Tokyo","Japan","NRT","RJAA",35.7647018433,140.386001587,141,9,"U","Asia/Tokyo","airport","OurAirports" 2280,"Matsumoto Airport","Matsumoto","Japan","MMJ","RJAF",36.16680145263672,137.92300415039062,2182,9,"U","Asia/Tokyo","airport","OurAirports" 2281,"Hyakuri Airport","Ibaraki","Japan","IBR","RJAH",36.181098938,140.414993286,105,9,"U","Asia/Tokyo","airport","OurAirports" 2282,"Minami Torishima Airport","Minami Tori Shima","Japan","MUS","RJAM",24.2896995544,153.979003906,22,9,"U","Asia/Tokyo","airport","OurAirports" 2283,"Iwo Jima Airport","Iwojima","Japan","IWO","RJAW",24.784000396728516,141.322998046875,384,9,"U","Asia/Tokyo","airport","OurAirports" 2284,"Nanki Shirahama Airport","Nanki-shirahama","Japan","SHM","RJBD",33.6622009277,135.363998413,298,9,"U","Asia/Tokyo","airport","OurAirports" 2285,"Kohnan Airport","Kohnan","Japan",\N,"RJBK",34.59080123901367,133.93299865722656,3,9,"U","Asia/Tokyo","airport","OurAirports" 2286,"Tokachi-Obihiro Airport","Obihiro","Japan","OBO","RJCB",42.7332992554,143.216995239,505,9,"U","Asia/Tokyo","airport","OurAirports" 2287,"New Chitose Airport","Sapporo","Japan","CTS","RJCC",42.77519989013672,141.69200134277344,82,9,"U","Asia/Tokyo","airport","OurAirports" 2288,"Hakodate Airport","Hakodate","Japan","HKD","RJCH",41.7700004578,140.822006226,151,9,"U","Asia/Tokyo","airport","OurAirports" 2289,"Chitose Air Base","Chitose","Japan",\N,"RJCJ",42.79449844359999,141.666000366,87,9,"U","Asia/Tokyo","airport","OurAirports" 2290,"Memanbetsu Airport","Memanbetsu","Japan","MMB","RJCM",43.8805999756,144.164001465,135,9,"U","Asia/Tokyo","airport","OurAirports" 2291,"Nakashibetsu Airport","Nakashibetsu","Japan","SHB","RJCN",43.5774993896,144.960006714,234,9,"U","Asia/Tokyo","airport","OurAirports" 2293,"Tokachi Airport","Tokachi","Japan",\N,"RJCT",42.890499114990234,143.1580047607422,281,9,"U","Asia/Tokyo","airport","OurAirports" 2294,"Wakkanai Airport","Wakkanai","Japan","WKJ","RJCW",45.4042015076,141.800994873,30,9,"U","Asia/Tokyo","airport","OurAirports" 2295,"Iki Airport","Iki","Japan","IKI","RJDB",33.7490005493,129.785003662,41,9,"U","Asia/Tokyo","airport","OurAirports" 2296,"Yamaguchi Ube Airport","Yamaguchi","Japan","UBJ","RJDC",33.930000305200004,131.279006958,23,9,"U","Asia/Tokyo","airport","OurAirports" 2297,"Tsushima Airport","Tsushima","Japan","TSJ","RJDT",34.2849006653,129.330993652,213,9,"U","Asia/Tokyo","airport","OurAirports" 2298,"Monbetsu Airport","Monbetsu","Japan","MBE","RJEB",44.303901672399995,143.404006958,80,9,"U","Asia/Tokyo","airport","OurAirports" 2299,"Asahikawa Airport","Asahikawa","Japan","AKJ","RJEC",43.670799255371094,142.44700622558594,721,9,"U","Asia/Tokyo","airport","OurAirports" 2300,"Okushiri Airport","Okushiri","Japan","OIR","RJEO",42.0717010498,139.432998657,161,9,"U","Asia/Tokyo","airport","OurAirports" 2301,"Rishiri Airport","Rishiri Island","Japan","RIS","RJER",45.2420005798,141.186004639,112,9,"U","Asia/Tokyo","airport","OurAirports" 2302,"Ashiya Airport","Ashiya","Japan",\N,"RJFA",33.88309860229492,130.6529998779297,98,9,"U","Asia/Tokyo","airport","OurAirports" 2303,"Yakushima Airport","Yakushima","Japan","KUM","RJFC",30.3855991364,130.658996582,124,9,"U","Asia/Tokyo","airport","OurAirports" 2304,"Fukue Airport","Fukue","Japan","FUJ","RJFE",32.66630172729492,128.83299255371094,273,9,"U","Asia/Tokyo","airport","OurAirports" 2305,"Fukuoka Airport","Fukuoka","Japan","FUK","RJFF",33.585899353027344,130.4510040283203,32,9,"U","Asia/Tokyo","airport","OurAirports" 2306,"New Tanegashima Airport","Tanegashima","Japan","TNE","RJFG",30.605100631699997,130.990997314,768,9,"U","Asia/Tokyo","airport","OurAirports" 2307,"Kagoshima Airport","Kagoshima","Japan","KOJ","RJFK",31.80340003967285,130.718994140625,906,9,"U","Asia/Tokyo","airport","OurAirports" 2308,"Miyazaki Airport","Miyazaki","Japan","KMI","RJFM",31.877199173,131.449005127,20,9,"U","Asia/Tokyo","airport","OurAirports" 2309,"Nyutabaru Airport","Nyutabaru","Japan",\N,"RJFN",32.08359909057617,131.4510040283203,259,9,"U","Asia/Tokyo","airport","OurAirports" 2310,"Oita Airport","Oita","Japan","OIT","RJFO",33.479400634799994,131.736999512,19,9,"U","Asia/Tokyo","airport","OurAirports" 2311,"KitakyÅ«shÅ« Airport","Kitakyushu","Japan","KKJ","RJFR",33.8459014893,131.035003662,21,9,"U","Asia/Tokyo","airport","OurAirports" 2312,"Kumamoto Airport","Kumamoto","Japan","KMJ","RJFT",32.83729934692383,130.85499572753906,642,9,"U","Asia/Tokyo","airport","OurAirports" 2313,"Nagasaki Airport","Nagasaki","Japan","NGS","RJFU",32.916900634799994,129.914001465,15,9,"U","Asia/Tokyo","airport","OurAirports" 2314,"Kanoya Airport","Kanoya","Japan",\N,"RJFY",31.367599487304688,130.84500122070312,214,9,"U","Asia/Tokyo","airport","OurAirports" 2315,"Tsuiki Air Field","Tsuiki","Japan",\N,"RJFZ",33.6850013733,131.039993286,55,9,"U","Asia/Tokyo","airport","OurAirports" 2316,"Amami Airport","Amami","Japan","ASJ","RJKA",28.430599212646484,129.71299743652344,27,9,"U","Asia/Tokyo","airport","OurAirports" 2317,"Okierabu Airport","Okierabu","Japan","OKE","RJKB",27.4255008698,128.701004028,101,9,"U","Asia/Tokyo","airport","OurAirports" 2318,"Tokunoshima Airport","Tokunoshima","Japan","TKN","RJKN",27.83639907836914,128.88099670410156,17,9,"U","Asia/Tokyo","airport","OurAirports" 2319,"Fukui Airport","Fukui","Japan","FKJ","RJNF",36.1427993774,136.223999023,19,9,"U","Asia/Tokyo","airport","OurAirports" 2320,"Gifu Airport","Gifu","Japan","QGU","RJNG",35.394100189208984,136.8699951171875,128,9,"U","Asia/Tokyo","airport","OurAirports" 2321,"Hamamatsu Airport","Hamamatsu","Japan",\N,"RJNH",34.75019836425781,137.7030029296875,150,9,"U","Asia/Tokyo","airport","OurAirports" 2322,"Komatsu Airport","Kanazawa","Japan","KMQ","RJNK",36.39459991455078,136.40699768066406,36,9,"U","Asia/Tokyo","airport","OurAirports" 2323,"Oki Airport","Oki Island","Japan","OKI","RJNO",36.18109893798828,133.3249969482422,311,9,"U","Asia/Tokyo","airport","OurAirports" 2324,"Toyama Airport","Toyama","Japan","TOY","RJNT",36.64830017089844,137.18800354003906,95,9,"U","Asia/Tokyo","airport","OurAirports" 2325,"Shizuhama Airport","Yaizu","Japan",\N,"RJNY",34.812801361083984,138.29800415039062,23,9,"U","Asia/Tokyo","airport","OurAirports" 2326,"Hiroshima Airport","Hiroshima","Japan","HIJ","RJOA",34.4361000061,132.919006348,1088,9,"U","Asia/Tokyo","airport","OurAirports" 2327,"Okayama Airport","Okayama","Japan","OKJ","RJOB",34.7569007874,133.854995728,806,9,"U","Asia/Tokyo","airport","OurAirports" 2328,"Izumo Airport","Izumo","Japan","IZO","RJOC",35.4136009216,132.88999939,15,9,"U","Asia/Tokyo","airport","OurAirports" 2329,"Hofu Airport","Hofu","Japan",\N,"RJOF",34.034698486328125,131.5489959716797,7,9,"U","Asia/Tokyo","airport","OurAirports" 2330,"Miho Yonago Airport","Miho","Japan","YGJ","RJOH",35.4921989440918,133.23599243164062,20,9,"U","Asia/Tokyo","airport","OurAirports" 2332,"KÅchi RyÅma Airport","Kochi","Japan","KCZ","RJOK",33.546101,133.669006,42,9,"U","Asia/Tokyo","airport","OurAirports" 2333,"Matsuyama Airport","Matsuyama","Japan","MYJ","RJOM",33.82720184326172,132.6999969482422,25,9,"U","Asia/Tokyo","airport","OurAirports" 2334,"Osaka International Airport","Osaka","Japan","ITM","RJOO",34.785499572753906,135.43800354003906,50,9,"U","Asia/Tokyo","airport","OurAirports" 2335,"Tottori Airport","Tottori","Japan","TTJ","RJOR",35.5301017761,134.167007446,65,9,"U","Asia/Tokyo","airport","OurAirports" 2336,"Tokushima Airport/JMSDF Air Base","Tokushima","Japan","TKS","RJOS",34.132801,134.606995,26,9,"U","Asia/Tokyo","airport","OurAirports" 2337,"Takamatsu Airport","Takamatsu","Japan","TAK","RJOT",34.214199066199996,134.01600647,607,9,"U","Asia/Tokyo","airport","OurAirports" 2338,"Yao Airport","Osaka","Japan",\N,"RJOY",34.59629821777344,135.60299682617188,39,9,"U","Asia/Tokyo","airport","OurAirports" 2339,"Ozuki Airport","Ozuki","Japan",\N,"RJOZ",34.0452995300293,131.052001953125,13,9,"U","Asia/Tokyo","airport","OurAirports" 2340,"Aomori Airport","Aomori","Japan","AOJ","RJSA",40.73469924926758,140.6909942626953,664,9,"U","Asia/Tokyo","airport","OurAirports" 2341,"Yamagata Airport","Yamagata","Japan","GAJ","RJSC",38.411899566699994,140.371002197,353,9,"U","Asia/Tokyo","airport","OurAirports" 2342,"Sado Airport","Sado","Japan","SDS","RJSD",38.0601997375,138.414001465,88,9,"U","Asia/Tokyo","airport","OurAirports" 2343,"Hachinohe Airport","Hachinoe","Japan","HHE","RJSH",40.556400299072266,141.46600341796875,152,9,"U","Asia/Tokyo","airport","OurAirports" 2344,"Hanamaki Airport","Hanamaki","Japan","HNA","RJSI",39.4286003112793,141.13499450683594,297,9,"U","Asia/Tokyo","airport","OurAirports" 2345,"Akita Airport","Akita","Japan","AXT","RJSK",39.6156005859375,140.218994140625,313,9,"U","Asia/Tokyo","airport","OurAirports" 2346,"Misawa Air Base","Misawa","Japan","MSJ","RJSM",40.703201293899994,141.367996216,119,9,"U","Asia/Tokyo","airport","OurAirports" 2347,"Sendai Airport","Sendai","Japan","SDJ","RJSS",38.1397018433,140.917007446,15,9,"U","Asia/Tokyo","airport","OurAirports" 2348,"Matsushima Air Base","Matsushima","Japan",\N,"RJST",38.4048995972,141.220001221,7,9,"U","Asia/Tokyo","airport","OurAirports" 2350,"Atsugi Naval Air Facility","Atsugi","Japan","NJA","RJTA",35.4546012878418,139.4499969482422,205,9,"U","Asia/Tokyo","airport","OurAirports" 2351,"Tateyama Airport","Tateyama","Japan",\N,"RJTE",34.987099,139.828995,10,9,"U","Asia/Tokyo","airport","OurAirports" 2352,"Hachijojima Airport","Hachijojima","Japan","HAC","RJTH",33.1150016785,139.785995483,303,9,"U","Asia/Tokyo","airport","OurAirports" 2353,"Iruma Air Base","Iruma","Japan",\N,"RJTJ",35.84189987182617,139.41099548339844,295,9,"U","Asia/Tokyo","airport","OurAirports" 2354,"Kisarazu Airport","Kisarazu","Japan",\N,"RJTK",35.39830017089844,139.91000366210938,10,9,"U","Asia/Tokyo","airport","OurAirports" 2355,"Shimofusa Airport","Shimofusa","Japan",\N,"RJTL",35.79890060424805,140.01100158691406,98,9,"U","Asia/Tokyo","airport","OurAirports" 2356,"Oshima Airport","Oshima","Japan","OIM","RJTO",34.782001495399996,139.36000061,130,9,"U","Asia/Tokyo","airport","OurAirports" 2358,"Kastner Army Heliport","Zama","Japan",\N,"RJTR",35.5138015747,139.393997192,360,9,"U","Asia/Tokyo","airport","OurAirports" 2359,"Tokyo Haneda International Airport","Tokyo","Japan","HND","RJTT",35.552299,139.779999,35,9,"U","Asia/Tokyo","airport","OurAirports" 2360,"Yokota Air Base","Yokota","Japan","OKO","RJTY",35.74850082397461,139.34800720214844,463,9,"U","Asia/Tokyo","airport","OurAirports" 2361,"Gwangju Airport","Kwangju","South Korea","KWJ","RKJJ",35.123173,126.805444,39,9,"U","Asia/Seoul","airport","OurAirports" 2364,"Jeon Ju Airport (G-703)","Jhunju","South Korea","CHN","RKJU",35.87808,127.119112,96,9,"U","Asia/Seoul","airport","OurAirports" 2365,"Yeosu Airport","Yeosu","South Korea","RSU","RKJY",34.84230041503906,127.61699676513672,53,9,"U","Asia/Seoul","airport","OurAirports" 2366,"Sokcho Airport","Sokch'o","South Korea",\N,"RKND",38.142601013183594,128.5989990234375,92,9,"U","Asia/Seoul","airport","OurAirports" 2367,"Gangneung Airport (K-18)","Kangnung","South Korea","KAG","RKNN",37.753601,128.943915,35,9,"U","Asia/Seoul","airport","OurAirports" 2370,"Jeju International Airport","Cheju","South Korea","CJU","RKPC",33.51129913330078,126.49299621582031,118,9,"U","Asia/Seoul","airport","OurAirports" 2371,"Jinhae Airbase/Airport (G-813/K-10)","Chinhae","South Korea","CHF","RKPE",35.140248,128.696229,8,9,"U","Asia/Seoul","airport","OurAirports" 2372,"Gimhae International Airport","Busan","South Korea","PUS","RKPK",35.1795005798,128.93800354,6,9,"U","Asia/Seoul","airport","OurAirports" 2374,"Ulsan Airport","Ulsan","South Korea","USN","RKPU",35.59349823,129.352005005,45,9,"U","Asia/Seoul","airport","OurAirports" 2375,"A 511 Airport","Pyongtaek","South Korea",\N,"RKSG",36.96220016479492,127.03099822998047,51,9,"U","Asia/Seoul","airport","OurAirports" 2376,"Seoul Air Base (K-16)","Seoul East","South Korea","SSN","RKSM",37.444744,127.112718,92,9,"U","Asia/Seoul","airport","OurAirports" 2377,"Osan Air Base","Osan","South Korea","OSN","RKSO",37.090599,127.029999,38,9,"U","Asia/Seoul","airport","OurAirports" 2378,"Gimpo International Airport","Seoul","South Korea","GMP","RKSS",37.5583,126.791,59,9,"U","Asia/Seoul","airport","OurAirports" 2379,"Suwon Airport","Suwon","South Korea","SWU","RKSW",37.23939895629883,127.00700378417969,88,9,"U","Asia/Seoul","airport","OurAirports" 2380,"Pohang Airport (G-815/K-3)","Pohang","South Korea","KPO","RKTH",35.987955,129.420383,70,9,"U","Asia/Seoul","airport","OurAirports" 2381,"Daegu Airport","Taegu","South Korea","TAE","RKTN",35.896872,128.65531,116,9,"U","Asia/Seoul","airport","OurAirports" 2383,"Yecheon Airbase","Yechon","South Korea","YEC","RKTY",36.630373,128.34971,354,9,"U","Asia/Seoul","airport","OurAirports" 2384,"Naha Airport","Okinawa","Japan","OKA","ROAH",26.1958007812,127.646003723,12,9,"N","Asia/Tokyo","airport","OurAirports" 2385,"Ie Shima Auxiliary Air Base","Iejima","Japan",\N,"RODE",26.725757598876953,127.76490020751953,184,9,"U","Asia/Tokyo","airport","OurAirports" 2386,"Kadena Air Base","Kadena","Japan","DNA","RODN",26.3556,127.767998,143,9,"U","Asia/Tokyo","airport","OurAirports" 2387,"New Ishigaki Airport","Ishigaki","Japan","ISG","ROIG",24.396389,124.245,102,9,"U","Asia/Tokyo","airport","OurAirports" 2388,"Kumejima Airport","Kumejima","Japan","UEO","ROKJ",26.363500595092773,126.71399688720703,23,9,"U","Asia/Tokyo","airport","OurAirports" 2389,"Minami-Daito Airport","Minami Daito","Japan","MMD","ROMD",25.8465003967,131.263000488,167,9,"U","Asia/Tokyo","airport","OurAirports" 2390,"Miyako Airport","Miyako","Japan","MMY","ROMY",24.782800674399997,125.294998169,150,9,"U","Asia/Tokyo","airport","OurAirports" 2391,"Kitadaito Airport","Kitadaito","Japan","KTD","RORK",25.9447002411,131.32699585,80,9,"U","Asia/Tokyo","airport","OurAirports" 2392,"Shimojishima Airport","Shimojishima","Japan","SHI","RORS",24.8267002106,125.144996643,54,9,"U","Asia/Tokyo","airport","OurAirports" 2393,"Tarama Airport","Tarama","Japan","TRA","RORT",24.653900146499996,124.675003052,36,9,"U","Asia/Tokyo","airport","OurAirports" 2394,"Yoron Airport","Yoron","Japan","RNJ","RORY",27.0440006256,128.401992798,52,9,"U","Asia/Tokyo","airport","OurAirports" 2395,"Futenma Marine Corps Air Station","Futema","Japan",\N,"ROTM",26.27429962158203,127.75599670410156,247,9,"U","Asia/Tokyo","airport","OurAirports" 2396,"Yonaguni Airport","Yonaguni Jima","Japan","OGN","ROYN",24.466899871826172,122.97799682617188,70,9,"U","Asia/Tokyo","airport","OurAirports" 2397,"Ninoy Aquino International Airport","Manila","Philippines","MNL","RPLL",14.5086,121.019997,75,8,"N","Asia/Manila","airport","OurAirports" 2399,"Awang Airport","Cotabato","Philippines","CBO","RPMC",7.1652398109436035,124.20999908447266,189,8,"N","Asia/Manila","airport","OurAirports" 2400,"Cagayan De Oro Airport","Ladag","Philippines",\N,"RPML",8.41562,124.611,601,8,"N","Asia/Manila","airport","OurAirports" 2401,"Pagadian Airport","Pagadian","Philippines","PAG","RPMP",7.83073144787,123.461179733,5,8,"N","Asia/Manila","airport","OurAirports" 2402,"General Santos International Airport","Romblon","Philippines","GES","RPMR",6.05800008774,125.096000671,505,8,"N","Asia/Manila","airport","OurAirports" 2404,"Zamboanga International Airport","Zamboanga","Philippines","ZAM","RPMZ",6.922420024871826,122.05999755859375,33,8,"N","Asia/Manila","airport","OurAirports" 2405,"Loakan Airport","Baguio","Philippines","BAG","RPUB",16.375099182128906,120.62000274658203,4251,8,"N","Asia/Manila","airport","OurAirports" 2406,"Daet Airport","Daet","Philippines","DTE","RPUD",14.129199981689453,122.9800033569336,10,8,"N","Asia/Manila","airport","OurAirports" 2407,"Basa Air Base","Floridablanca","Philippines",\N,"RPUF",14.98724,120.492554,151,8,"N","Asia/Manila","airport","OurAirports" 2408,"Lingayen Airport","Lingayen","Philippines",\N,"RPUG",16.034799575805664,120.24099731445312,7,8,"N","Asia/Manila","airport","OurAirports" 2409,"San Jose Airport","San Jose","Philippines","SJI","RPUH",12.361499786399998,121.04699707,14,8,"N","Asia/Manila","airport","OurAirports" 2410,"Fernando Air Base","Lipa","Philippines",\N,"RPUL",13.954999923706055,121.125,1220,8,"N","Asia/Manila","airport","OurAirports" 2411,"Mamburao Airport","Mamburao","Philippines","MBO","RPUM",13.208100318908691,120.6050033569336,13,8,"N","Asia/Manila","airport","OurAirports" 2414,"Vigan Airport","Vigan","Philippines",\N,"RPUQ",17.555299758911133,120.35600280761719,16,8,"N","Asia/Manila","airport","OurAirports" 2415,"Dr.Juan C. Angara Airport","Baler","Philippines","BQA","RPUR",15.729309,121.500034,108,8,"N","Asia/Manila","airport","OurAirports" 2421,"Bagabag Airport","Bagabag","Philippines",\N,"RPUZ",16.6192,121.251999,820,8,"N","Asia/Manila","airport","OurAirports" 2422,"Daniel Z. Romualdez Airport","Tacloban","Philippines","TAC","RPVA",11.228035,125.027761,10,8,"N","Asia/Manila","airport","OurAirports" 2423,"Bacolod-Silay Airport","Bacolod","Philippines","BCD","RPVB",10.7764,123.014999,82,8,"N","Asia/Manila","airport","OurAirports" 2425,"Sibulan Airport","Dumaguete","Philippines","DGT","RPVD",9.3337097168,123.300003052,15,8,"N","Asia/Manila","airport","OurAirports" 2426,"Godofredo P. Ramos Airport","Caticlan","Philippines","MPH","RPVE",11.9245,121.954002,7,8,"N","Asia/Manila","airport","OurAirports" 2428,"Guiuan Airport","Guiuan","Philippines",\N,"RPVG",11.0354995728,125.741996765,7,8,"N","Asia/Manila","airport","OurAirports" 2429,"Iloilo International Airport","Iloilo","Philippines","ILO","RPVI",10.833017,122.493358,27,8,"N","Asia/Manila","airport","OurAirports" 2430,"Kalibo International Airport","Kalibo","Philippines","KLO","RPVK",11.679400444,122.375999451,14,8,"N","Asia/Manila","airport","OurAirports" 2433,"Puerto Princesa Airport","Puerto Princesa","Philippines","PPS","RPVP",9.742119789123535,118.75900268554688,71,8,"N","Asia/Manila","airport","OurAirports" 2435,"Evelio Javier Airport","San Jose","Philippines","EUQ","RPVS",10.765999794,121.932998657,23,8,"N","Asia/Manila","airport","OurAirports" 2436,"Comodoro Pierrestegui Airport","Concordia","Argentina","COC","SAAC",-31.2969,-57.9966,112,-3,"N","America/Cordoba","airport","OurAirports" 2437,"Gualeguaychu Airport","Gualeguaychu","Argentina","GHU","SAAG",-33.0103,-58.6131,75,-3,"N","America/Cordoba","airport","OurAirports" 2438,"Junin Airport","Junin","Argentina","JNI","SAAJ",-34.5459,-60.9306,262,-3,"N","America/Buenos_Aires","airport","OurAirports" 2439,"General Urquiza Airport","Parana","Argentina","PRA","SAAP",-31.7948,-60.4804,242,-3,"N","America/Cordoba","airport","OurAirports" 2440,"Islas Malvinas Airport","Rosario","Argentina","ROS","SAAR",-32.9036,-60.785,85,-3,"N","America/Cordoba","airport","OurAirports" 2441,"Sauce Viejo Airport","Santa Fe","Argentina","SFN","SAAV",-31.7117,-60.8117,55,-3,"N","America/Cordoba","airport","OurAirports" 2442,"Jorge Newbery Airpark","Buenos Aires","Argentina","AEP","SABE",-34.5592,-58.4156,18,-3,"N","America/Buenos_Aires","airport","OurAirports" 2443,"Ingeniero Ambrosio Taravella Airport","Cordoba","Argentina","COR","SACO",-31.323601,-64.208,1604,-3,"N","America/Cordoba","airport","OurAirports" 2444,"Chamical Airport","Gobernador Gordillo","Argentina",\N,"SACT",-30.34530067,-66.29360198,1502,-3,"N","America/Argentina/La_Rioja","airport","OurAirports" 2445,"San Fernando Airport","San Fernando","Argentina","FDO","SADF",-34.4532,-58.5896,10,-3,"N","America/Buenos_Aires","airport","OurAirports" 2446,"Mariano Moreno Airport","Jose C. Paz","Argentina",\N,"SADJ",-34.5606,-58.7896,105,-3,"N","America/Buenos_Aires","airport","OurAirports" 2447,"La Plata Airport","La Plata","Argentina","LPG","SADL",-34.9722,-57.8947,72,-3,"N","America/Buenos_Aires","airport","OurAirports" 2448,"Moron Airport","Moron","Argentina",\N,"SADM",-34.6763,-58.6428,95,-3,"N","America/Buenos_Aires","airport","OurAirports" 2449,"El Palomar Airport","El Palomar","Argentina","EPA","SADP",-34.6099,-58.6126,59,-3,"N","America/Buenos_Aires","airport","OurAirports" 2450,"Chos Malal Airport","Chosmadal","Argentina","HOS","SAHC",-37.444698333699996,-70.2225036621,2788,-3,"N","America/Argentina/Salta","airport","OurAirports" 2451,"Dr. Arturo H. Illia Airport","Fuerte Gral Roca","Argentina","GNR","SAHR",-39.0007019043,-67.6204986572,852,-3,"N","America/Argentina/Salta","airport","OurAirports" 2452,"El Plumerillo Airport","Mendoza","Argentina","MDZ","SAME",-32.8316993713,-68.7929000854,2310,-3,"N","America/Mendoza","airport","OurAirports" 2453,"Comodoro D.R. Salomón Airport","Malargue","Argentina","LGS","SAMM",-35.493598938,-69.5743026733,4685,-3,"N","America/Mendoza","airport","OurAirports" 2454,"Suboficial Ay Santiago Germano Airport","San Rafael","Argentina","AFA","SAMR",-34.588299,-68.4039,2470,-3,"N","America/Mendoza","airport","OurAirports" 2455,"Catamarca Airport","Catamarca","Argentina","CTC","SANC",-28.5956001282,-65.751701355,1522,-3,"N","America/Catamarca","airport","OurAirports" 2456,"Vicecomodoro Angel D. La Paz Aragonés Airport","Santiago Del Estero","Argentina","SDE","SANE",-27.765556335399996,-64.3099975586,656,-3,"N","America/Cordoba","airport","OurAirports" 2457,"Tinogasta Airport","Tinogasta","Argentina",\N,"SANI",-28.0377998352,-67.5802993774,3968,-3,"N","America/Catamarca","airport","OurAirports" 2458,"Capitan V A Almonacid Airport","La Rioja","Argentina","IRJ","SANL",-29.3815994263,-66.7957992554,1437,-3,"N","America/Argentina/La_Rioja","airport","OurAirports" 2459,"Chilecito Airport","Chilecito","Argentina",\N,"SANO",-29.2238998413,-67.4389038086,3099,-3,"N","America/Argentina/La_Rioja","airport","OurAirports" 2460,"Teniente Benjamin Matienzo Airport","Tucuman","Argentina","TUC","SANT",-26.8409,-65.104897,1493,-3,"N","America/Argentina/Tucuman","airport","OurAirports" 2461,"Domingo Faustino Sarmiento Airport","San Juan","Argentina","UAQ","SANU",-31.571501,-68.418198,1958,-3,"N","America/Argentina/San_Juan","airport","OurAirports" 2462,"Area De Material Airport","Rio Cuarto","Argentina","RCU","SAOC",-33.0850982666,-64.2612991333,1380,-3,"N","America/Cordoba","airport","OurAirports" 2463,"Villa Dolores Airport","Villa Dolores","Argentina","VDR","SAOD",-31.9451999664,-65.1463012695,1847,-3,"N","America/Cordoba","airport","OurAirports" 2464,"La Quiaca Airport","Laboulaye","Argentina",\N,"SAOL",-22.1506004333,-65.57749938959999,11414,-3,"N","America/Jujuy","airport","OurAirports" 2465,"Marcos Juarez Airport","Marcos Juarez","Argentina",\N,"SAOM",-32.6836,-62.157801,360,-3,"N","America/Cordoba","airport","OurAirports" 2466,"Villa Reynolds Airport","Villa Reynolds","Argentina","VME","SAOR",-33.7299003601,-65.3873977661,1591,-3,"N","America/Argentina/San_Luis","airport","OurAirports" 2467,"Brigadier Mayor D Cesar Raul Ojeda Airport","San Luis","Argentina","LUQ","SAOU",-33.2732009888,-66.3563995361,2328,-3,"N","America/Argentina/San_Luis","airport","OurAirports" 2468,"Corrientes Airport","Corrientes","Argentina","CNQ","SARC",-27.4455,-58.7619,202,-3,"N","America/Cordoba","airport","OurAirports" 2469,"Resistencia International Airport","Resistencia","Argentina","RES","SARE",-27.45,-59.0561,173,-3,"N","America/Cordoba","airport","OurAirports" 2470,"Formosa Airport","Formosa","Argentina","FMA","SARF",-26.2127,-58.2281,193,-3,"N","America/Cordoba","airport","OurAirports" 2471,"Cataratas Del Iguazú International Airport","Iguazu Falls","Argentina","IGR","SARI",-25.737301,-54.4734,916,-3,"N","America/Cordoba","airport","OurAirports" 2472,"Paso De Los Libres Airport","Paso De Los Libres","Argentina","AOL","SARL",-29.6894,-57.1521,230,-3,"N","America/Cordoba","airport","OurAirports" 2473,"Monte Caseros Airport","Monte Caseros","Argentina","MCS","SARM",-30.2719,-57.6402,170,-3,"N","America/Cordoba","airport","OurAirports" 2474,"Libertador Gral D Jose De San Martin Airport","Posadas","Argentina","PSS","SARP",-27.3858,-55.9707,430,-3,"N","America/Cordoba","airport","OurAirports" 2475,"Termal Airport","Presidencia R.s.pena","Argentina","PRQ","SARS",-26.753611,-60.492222,308,-3,"N","America/Cordoba","airport","OurAirports" 2476,"Martin Miguel De Guemes International Airport","Salta","Argentina","SLA","SASA",-24.856000900299996,-65.4861984253,4088,-3,"N","America/Argentina/Salta","airport","OurAirports" 2477,"Gobernador Horacio Guzman International Airport","Jujuy","Argentina","JUJ","SASJ",-24.392799,-65.097801,3019,-3,"N","America/Jujuy","airport","OurAirports" 2478,"Orán Airport","Oran","Argentina","ORA","SASO",-23.1527996063,-64.3292007446,1171,-3,"N","America/Argentina/Salta","airport","OurAirports" 2479,"Laboulaye Airport","La Quiaca","Argentina",\N,"SASQ",-34.1353988647,-63.36230087279999,449,-3,"N","America/Cordoba","airport","OurAirports" 2481,"El Dorado Airport","El Dorado","Argentina","ELO","SATD",-26.3974990845,-54.5746994019,685,-3,"N","America/Cordoba","airport","OurAirports" 2482,"Goya Airport","Goya","Argentina","OYA","SATG",-29.1058,-59.2189,128,-3,"N","America/Cordoba","airport","OurAirports" 2483,"Oberá Airport","Obera","Argentina",\N,"SATO",-27.5181999207,-55.1241989136,1125,-3,"N","America/Cordoba","airport","OurAirports" 2484,"Reconquista Airport","Reconquista","Argentina","RCQ","SATR",-29.2103,-59.68,160,-3,"N","America/Cordoba","airport","OurAirports" 2485,"Curuzu Cuatia Airport","Curuzu Cuatia","Argentina","UZU","SATU",-29.7706,-57.9789,229,-3,"N","America/Cordoba","airport","OurAirports" 2486,"El Bolson Airport","El Bolson","Argentina","EHL","SAVB",-41.9431991577,-71.5323028564,1141,-3,"N","America/Argentina/Salta","airport","OurAirports" 2487,"General E. Mosconi Airport","Comodoro Rivadavia","Argentina","CRD","SAVC",-45.7853,-67.4655,189,-3,"N","America/Catamarca","airport","OurAirports" 2488,"Brigadier Antonio Parodi Airport","Esquel","Argentina","EQS","SAVE",-42.908000946,-71.139503479,2621,-3,"N","America/Catamarca","airport","OurAirports" 2490,"Almirante Marco Andres Zar Airport","Trelew","Argentina","REL","SAVT",-43.2105,-65.2703,141,-3,"N","America/Catamarca","airport","OurAirports" 2491,"Gobernador Castello Airport","Viedma","Argentina","VDM","SAVV",-40.8692,-63.0004,20,-3,"N","America/Argentina/Salta","airport","OurAirports" 2492,"El Tehuelche Airport","Puerto Madryn","Argentina","PMY","SAVY",-42.7592,-65.1027,427,-3,"N","America/Catamarca","airport","OurAirports" 2493,"Marambio Base","Marambio Base","Antarctica",\N,"SAWB",-64.2382965088,-56.6307983398,760,12,"U","Antarctica/South_Pole","airport","OurAirports" 2494,"Puerto Deseado Airport","Puerto Deseado","Argentina","PUD","SAWD",-47.7353,-65.9041,268,-3,"N","America/Argentina/Rio_Gallegos","airport","OurAirports" 2495,"Hermes Quijada International Airport","Rio Grande","Argentina","RGA","SAWE",-53.7777,-67.7494,65,-3,"N","America/Argentina/Ushuaia","airport","OurAirports" 2496,"Piloto Civil N. Fernández Airport","Rio Gallegos","Argentina","RGL","SAWG",-51.6089,-69.3126,61,-3,"N","America/Argentina/Rio_Gallegos","airport","OurAirports" 2497,"Malvinas Argentinas Airport","Ushuaia","Argentina","USH","SAWH",-54.8433,-68.2958,102,-3,"N","America/Argentina/Ushuaia","airport","OurAirports" 2498,"Capitan D Daniel Vazquez Airport","San Julian","Argentina","ULA","SAWJ",-49.3068,-67.8026,203,-3,"N","America/Argentina/Rio_Gallegos","airport","OurAirports" 2499,"Perito Moreno Airport","Perito Moreno","Argentina","PMQ","SAWP",-46.537899,-70.978699,1410,-3,"N","America/Argentina/Rio_Gallegos","airport","OurAirports" 2500,"Santa Cruz Airport","Santa Cruz","Argentina","RZA","SAWU",-50.0165,-68.5792,364,-3,"N","America/Argentina/Rio_Gallegos","airport","OurAirports" 2501,"Comandante Espora Airport","Bahia Blanca","Argentina","BHI","SAZB",-38.725,-62.1693,246,-3,"N","America/Buenos_Aires","airport","OurAirports" 2502,"Brigadier D.H.E. Ruiz Airport","Colonel Suarez","Argentina","CSZ","SAZC",-37.446098,-61.889301,767,-3,"N","America/Buenos_Aires","airport","OurAirports" 2503,"Olavarria Airport","Olavarria","Argentina","OVR","SAZF",-36.8899993896,-60.216598510699995,551,-3,"N","America/Buenos_Aires","airport","OurAirports" 2504,"General Pico Airport","General Pico","Argentina","GPO","SAZG",-35.6962013245,-63.7583007812,459,-3,"N","America/Argentina/Salta","airport","OurAirports" 2505,"Tres Arroyos Airport","Tres Arroyos","Argentina","OYO","SAZH",-38.3869,-60.3297,400,-3,"N","America/Buenos_Aires","airport","OurAirports" 2506,"Bolivar Airport","Bolivar","Argentina",\N,"SAZI",-36.1866,-61.0764,308,-3,"N","America/Buenos_Aires","airport","OurAirports" 2508,"Ãstor Piazzola International Airport","Mar Del Plata","Argentina","MDQ","SAZM",-37.9342,-57.5733,72,-3,"N","America/Buenos_Aires","airport","OurAirports" 2509,"Presidente Peron Airport","Neuquen","Argentina","NQN","SAZN",-38.949001,-68.155701,895,-3,"N","America/Argentina/Salta","airport","OurAirports" 2511,"Comodoro Pedro Zanni Airport","Pehuajo","Argentina","PEH","SAZP",-35.8446,-61.8576,278,-3,"N","America/Buenos_Aires","airport","OurAirports" 2512,"Santa Rosa Airport","Santa Rosa","Argentina","RSA","SAZR",-36.588299,-64.275703,630,-3,"N","America/Argentina/Salta","airport","OurAirports" 2513,"San Carlos De Bariloche Airport","San Carlos De Bariloche","Argentina","BRC","SAZS",-41.151199,-71.157501,2774,-3,"N","America/Argentina/Salta","airport","OurAirports" 2514,"Héroes De Malvinas Airport","Tandil","Argentina","TDL","SAZT",-37.2374000549,-59.2279014587,574,-3,"N","America/Buenos_Aires","airport","OurAirports" 2515,"Villa Gesell Airport","Villa Gesell","Argentina","VLG","SAZV",-37.2354,-57.0292,32,-3,"N","America/Buenos_Aires","airport","OurAirports" 2516,"Cutral-Co Airport","Cutralco","Argentina","CUT","SAZW",-38.939701080300004,-69.2646026611,2132,-3,"N","America/Argentina/Salta","airport","OurAirports" 2517,"Aviador C. Campos Airport","San Martin Des Andes","Argentina","CPC","SAZY",-40.075401,-71.137299,2569,-3,"N","America/Argentina/Salta","airport","OurAirports" 2518,"Conceição do Araguaia Airport","Conceicao Do Araguaia","Brazil","CDJ","SBAA",-8.348349571228027,-49.30149841308594,653,-3,"S","America/Belem","airport","OurAirports" 2519,"Campo Délio Jardim de Mattos Airport","Rio De Janeiro","Brazil",\N,"SBAF",-22.875099,-43.384701,110,-3,"S","America/Sao_Paulo","airport","OurAirports" 2520,"Amapá Airport","Amapa","Brazil",\N,"SBAM",2.07751,-50.8582,45,-3,"S","America/Fortaleza","airport","OurAirports" 2521,"Araraquara Airport","Araracuara","Brazil","AQA","SBAQ",-21.812000274699997,-48.1329994202,2334,-3,"S","America/Sao_Paulo","airport","OurAirports" 2522,"Santa Maria Airport","Aracaju","Brazil","AJU","SBAR",-10.984000206,-37.0703010559,23,-3,"S","America/Fortaleza","airport","OurAirports" 2524,"Piloto Osvaldo Marques Dias Airport","Alta Floresta","Brazil","AFL","SBAT",-9.8663892746,-56.1049995422,948,-4,"S","America/Campo_Grande","airport","OurAirports" 2525,"Araçatuba Airport","Aracatuba","Brazil","ARU","SBAU",-21.1413002014,-50.4247016907,1361,-3,"S","America/Sao_Paulo","airport","OurAirports" 2526,"Val de Cans/Júlio Cezar Ribeiro International Airport","Belem","Brazil","BEL","SBBE",-1.3792500495900002,-48.4762992859,54,-3,"S","America/Belem","airport","OurAirports" 2527,"Comandante Gustavo Kraemer Airport","Bage","Brazil","BGX","SBBG",-31.39049911499,-54.112201690674,600,-3,"S","America/Sao_Paulo","airport","OurAirports" 2528,"Pampulha - Carlos Drummond de Andrade Airport","Belo Horizonte","Brazil","PLU","SBBH",-19.851200103759766,-43.950599670410156,2589,-3,"S","America/Sao_Paulo","airport","OurAirports" 2529,"Bacacheri Airport","Curitiba","Brazil","BFH","SBBI",-25.4050998688,-49.23199844359999,3057,-3,"S","America/Sao_Paulo","airport","OurAirports" 2530,"Major Brigadeiro Doorgal Borges Airport","Barbacena","Brazil",\N,"SBBQ",-21.2672,-43.761101,3657,-3,"S","America/Sao_Paulo","airport","OurAirports" 2531,"Presidente Juscelino Kubistschek International Airport","Brasilia","Brazil","BSB","SBBR",-15.86916732788086,-47.920833587646484,3497,-3,"S","America/Sao_Paulo","airport","OurAirports" 2532,"Bauru Airport","Bauru","Brazil","BAU","SBBU",-22.3449993134,-49.0537986755,2025,-3,"S","America/Sao_Paulo","airport","OurAirports" 2533,"Atlas Brasil Cantanhede Airport","Boa Vista","Brazil","BVB","SBBV",2.84138894081,-60.6922225952,276,-4,"S","America/Boa_Vista","airport","OurAirports" 2534,"Barra do Garças Airport","Barra Do Garcas","Brazil","BPG","SBBW",-15.861300468400001,-52.3889007568,1147,-4,"S","America/Campo_Grande","airport","OurAirports" 2535,"Cascavel Airport","Cascavel","Brazil","CAC","SBCA",-25.0002994537,-53.500801086399996,2473,-3,"S","America/Sao_Paulo","airport","OurAirports" 2536,"Cachimbo Airport","Itaituba","Brazil",\N,"SBCC",-9.33393955231,-54.9654006958,1762,-3,"S","America/Belem","airport","OurAirports" 2537,"Tancredo Neves International Airport","Belo Horizonte","Brazil","CNF","SBCF",-19.62444305419922,-43.97194290161133,2715,-3,"S","America/Sao_Paulo","airport","OurAirports" 2538,"Campo Grande Airport","Campo Grande","Brazil","CGR","SBCG",-20.468700408900002,-54.6725006104,1833,-4,"S","America/Campo_Grande","airport","OurAirports" 2539,"Serafin Enoss Bertaso Airport","Chapeco","Brazil","XAP","SBCH",-27.134199142456,-52.656600952148,2146,-3,"S","America/Sao_Paulo","airport","OurAirports" 2540,"Brig. Lysias Augusto Rodrigues Airport","Carolina","Brazil","CLN","SBCI",-7.32043981552124,-47.45869827270508,565,-3,"S","America/Fortaleza","airport","OurAirports" 2541,"Diomício Freitas Airport","Criciuma","Brazil","CCM","SBCM",-28.7244434357,-49.4213905334,93,-3,"S","America/Sao_Paulo","airport","OurAirports" 2542,"Canoas Air Force Base","Porto Alegre","Brazil",\N,"SBCO",-29.945928,-51.144413,26,-3,"S","America/Sao_Paulo","airport","OurAirports" 2543,"Bartolomeu Lisandro Airport","Campos","Brazil","CAW","SBCP",-21.698299408,-41.301700592,57,-3,"S","America/Sao_Paulo","airport","OurAirports" 2544,"Corumbá International Airport","Corumba","Brazil","CMG","SBCR",-19.0119438171,-57.6713905334,461,-4,"S","America/Campo_Grande","airport","OurAirports" 2545,"Afonso Pena Airport","Curitiba","Brazil","CWB","SBCT",-25.5284996033,-49.1758003235,2988,-3,"S","America/Sao_Paulo","airport","OurAirports" 2546,"Caravelas Airport","Caravelas","Brazil","CRQ","SBCV",-17.652299880981,-39.253101348877,36,-3,"S","America/Fortaleza","airport","OurAirports" 2547,"Hugo Cantergiani Regional Airport","Caxias Do Sul","Brazil","CXJ","SBCX",-29.197099685699996,-51.1875,2472,-3,"S","America/Sao_Paulo","airport","OurAirports" 2548,"Marechal Rondon Airport","Cuiaba","Brazil","CGB","SBCY",-15.6528997421,-56.1166992188,617,-4,"S","America/Campo_Grande","airport","OurAirports" 2549,"Cruzeiro do Sul Airport","Cruzeiro do Sul","Brazil","CZS","SBCZ",-7.59990978241,-72.7695007324,637,-5,"S","America/Rio_Branco","airport","OurAirports" 2550,"Presidente Prudente Airport","President Prudente","Brazil","PPB","SBDN",-22.1751003265,-51.4245986938,1477,-3,"S","America/Sao_Paulo","airport","OurAirports" 2551,"Eduardo Gomes International Airport","Manaus","Brazil","MAO","SBEG",-3.0386099815368652,-60.04970169067383,264,-4,"S","America/Boa_Vista","airport","OurAirports" 2552,"Jacareacanga Airport","Jacare-acanga","Brazil","JCR","SBEK",-6.233160018920898,-57.77690124511719,323,-3,"S","America/Belem","airport","OurAirports" 2553,"São Pedro da Aldeia Airport","Sao Pedro Da Aldeia","Brazil",\N,"SBES",-22.81290054321289,-42.09260177612305,61,-3,"S","America/Sao_Paulo","airport","OurAirports" 2554,"Cataratas International Airport","Foz Do Iguacu","Brazil","IGU","SBFI",-25.600278854370117,-54.48500061035156,786,-3,"S","America/Sao_Paulo","airport","OurAirports" 2555,"Hercílio Luz International Airport","Florianopolis","Brazil","FLN","SBFL",-27.670278549194336,-48.5525016784668,16,-3,"S","America/Sao_Paulo","airport","OurAirports" 2556,"Fernando de Noronha Airport","Fernando Do Noronha","Brazil","FEN","SBFN",-3.85493,-32.423302,193,-3,"S","America/Fortaleza","airport","OurAirports" 2558,"Furnas Airport","Alpinopolis","Brazil",\N,"SBFU",-20.702800750732422,-46.33530044555664,2413,-3,"S","America/Sao_Paulo","airport","OurAirports" 2559,"Pinto Martins International Airport","Fortaleza","Brazil","FOR","SBFZ",-3.776279926300049,-38.53260040283203,82,-3,"S","America/Fortaleza","airport","OurAirports" 2560,"Rio Galeão – Tom Jobim International Airport","Rio De Janeiro","Brazil","GIG","SBGL",-22.8099994659,-43.2505569458,28,-3,"S","America/Sao_Paulo","airport","OurAirports" 2561,"Guajará-Mirim Airport","Guajara-mirim","Brazil","GJM","SBGM",-10.786399841308594,-65.28479766845703,478,-4,"S","America/Boa_Vista","airport","OurAirports" 2562,"Santa Genoveva Airport","Goiania","Brazil","GYN","SBGO",-16.631999969482422,-49.220699310302734,2450,-3,"S","America/Sao_Paulo","airport","OurAirports" 2563,"EMBRAER - Unidade Gavião Peixoto Airport","Macae","Brazil",\N,"SBGP",-21.773700714111328,-48.40510177612305,1998,-3,"S","America/Sao_Paulo","airport","OurAirports" 2564,"Guarulhos - Governador André Franco Montoro International Airport","Sao Paulo","Brazil","GRU","SBGR",-23.435556411743164,-46.47305679321289,2459,-3,"S","America/Sao_Paulo","airport","OurAirports" 2565,"Guaratinguetá Airport","Guaratingueta","Brazil","GUJ","SBGW",-22.79159927368164,-45.20479965209961,1761,-3,"S","America/Sao_Paulo","airport","OurAirports" 2566,"Altamira Airport","Altamira","Brazil","ATM","SBHT",-3.2539100646973,-52.254001617432,369,-3,"S","America/Belem","airport","OurAirports" 2567,"Itacoatiara Airport","Itaituba","Brazil","ITA","SBIC",-3.1272599697113037,-58.481201171875,142,-4,"S","America/Boa_Vista","airport","OurAirports" 2568,"Itaituba Airport","Itaituba","Brazil","ITB","SBIH",-4.2423400878906,-56.000701904297,110,-3,"S","America/Belem","airport","OurAirports" 2569,"Bahia - Jorge Amado Airport","Ilheus","Brazil","IOS","SBIL",-14.815999984741,-39.033199310303,15,-3,"S","America/Fortaleza","airport","OurAirports" 2570,"Usiminas Airport","Ipatinga","Brazil","IPN","SBIP",-19.470699310303,-42.487598419189,784,-3,"S","America/Sao_Paulo","airport","OurAirports" 2571,"Francisco Vilela do Amaral Airport","Itumbiara","Brazil","ITR","SBIT",-18.4447002411,-49.2134017944,1630,-3,"S","America/Sao_Paulo","airport","OurAirports" 2572,"Prefeito Renato Moreira Airport","Imperatriz","Brazil","IMP","SBIZ",-5.53129,-47.459999,432,-3,"S","America/Fortaleza","airport","OurAirports" 2573,"Belém/Brigadeiro Protásio de Oliveira Airport","Belem","Brazil",\N,"SBJC",-1.4141600132,-48.4607009888,52,-3,"S","America/Belem","airport","OurAirports" 2574,"Francisco de Assis Airport","Juiz De Fora","Brazil","JDF","SBJF",-21.791500091552734,-43.38679885864258,2989,-3,"S","America/Sao_Paulo","airport","OurAirports" 2575,"Presidente Castro Pinto International Airport","Joao Pessoa","Brazil","JPA","SBJP",-7.145833015440001,-34.9486122131,217,-3,"S","America/Fortaleza","airport","OurAirports" 2576,"Lauro Carneiro de Loyola Airport","Joinville","Brazil","JOI","SBJV",-26.22450065612793,-48.797401428222656,15,-3,"S","America/Sao_Paulo","airport","OurAirports" 2577,"Presidente João Suassuna Airport","Campina Grande","Brazil","CPV","SBKG",-7.26992,-35.8964,1646,-3,"S","America/Fortaleza","airport","OurAirports" 2578,"Viracopos International Airport","Campinas","Brazil","VCP","SBKP",-23.0074005127,-47.1344985962,2170,-3,"S","America/Sao_Paulo","airport","OurAirports" 2579,"Lages Airport","Lajes","Brazil","LAJ","SBLJ",-27.782100677499997,-50.28150177,3065,-3,"S","America/Sao_Paulo","airport","OurAirports" 2580,"Lins Airport","Lins","Brazil","LIP","SBLN",-21.663999557495,-49.730499267578,1559,-3,"S","America/Sao_Paulo","airport","OurAirports" 2581,"Governador José Richa Airport","Londrina","Brazil","LDB","SBLO",-23.333599090599996,-51.1301002502,1867,-3,"S","America/Sao_Paulo","airport","OurAirports" 2582,"Bom Jesus da Lapa Airport","Bom Jesus Da Lapa","Brazil","LAZ","SBLP",-13.2621002197,-43.4081001282,1454,-3,"S","America/Fortaleza","airport","OurAirports" 2583,"Lagoa Santa Airport","Lagoa Santa","Brazil",\N,"SBLS",-19.66160011291504,-43.896400451660156,2795,-3,"S","America/Sao_Paulo","airport","OurAirports" 2584,"João Correa da Rocha Airport","Maraba","Brazil","MAB","SBMA",-5.36858987808,-49.138000488299994,357,-3,"S","America/Belem","airport","OurAirports" 2585,"Monte Dourado Airport","Almeirim","Brazil","MEU","SBMD",-0.889839,-52.6022,677,-3,"S","America/Belem","airport","OurAirports" 2586,"Regional de Maringá - Sílvio Nane Junior Airport","Maringa","Brazil","MGF","SBMG",-23.479444503799996,-52.01222229,1788,-3,"S","America/Sao_Paulo","airport","OurAirports" 2587,"Mário Ribeiro Airport","Montes Claros","Brazil","MOC","SBMK",-16.706899642899998,-43.818901062,2191,-3,"S","America/Sao_Paulo","airport","OurAirports" 2589,"Ponta Pelada Airport","Manaus","Brazil","PLL","SBMN",-3.1460399627685547,-59.98630142211914,267,-4,"S","America/Boa_Vista","airport","OurAirports" 2590,"Zumbi dos Palmares Airport","Maceio","Brazil","MCZ","SBMO",-9.510809898376465,-35.79169845581055,387,-3,"S","America/Fortaleza","airport","OurAirports" 2591,"Alberto Alcolumbre Airport","Macapa","Brazil","MCP","SBMQ",0.0506640002131,-51.0722007751,56,-3,"S","America/Fortaleza","airport","OurAirports" 2592,"Dix-Sept Rosado Airport","Mocord","Brazil","MVF","SBMS",-5.2019200324999995,-37.3642997742,76,-3,"S","America/Fortaleza","airport","OurAirports" 2593,"Campo de Marte Airport","Sao Paulo","Brazil",\N,"SBMT",-23.5090999603,-46.6377983093,2368,-3,"S","America/Sao_Paulo","airport","OurAirports" 2594,"Manicoré Airport","Manicore","Brazil","MNX","SBMY",-5.8113799095154,-61.278301239014,174,-4,"S","America/Boa_Vista","airport","OurAirports" 2595,"Ministro Victor Konder International Airport","Navegantes","Brazil","NVT","SBNF",-26.879999,-48.651402,18,-3,"S","America/Sao_Paulo","airport","OurAirports" 2596,"Santo Ângelo Airport","Santo Angelo","Brazil","GEL","SBNM",-28.2817,-54.169102,1056,-3,"S","America/Sao_Paulo","airport","OurAirports" 2597,"Governador Aluízio Alves International Airport","Natal","Brazil","NAT","SBSG",-5.768056,-35.376111,272,-3,"S","America/Fortaleza","airport","OurAirports" 2598,"Oiapoque Airport","Oioiapoque","Brazil","OYK","SBOI",3.85548996925354,-51.79690170288086,63,-3,"S","America/Fortaleza","airport","OurAirports" 2599,"Salgado Filho Airport","Porto Alegre","Brazil","POA","SBPA",-29.994400024414062,-51.1713981628418,11,-3,"S","America/Sao_Paulo","airport","OurAirports" 2600,"Prefeito Doutor João Silva Filho Airport","Parnaiba","Brazil","PHB","SBPB",-2.89374995232,-41.73199844359999,16,-3,"S","America/Fortaleza","airport","OurAirports" 2601,"Poços de Caldas - Embaixador Walther Moreira Salles Airport","Pocos De Caldas","Brazil","POO","SBPC",-21.843000411987,-46.567901611328,4135,-3,"S","America/Sao_Paulo","airport","OurAirports" 2602,"Lauro Kurtz Airport","Passo Fundo","Brazil","PFB","SBPF",-28.243999,-52.326599,2376,-3,"S","America/Sao_Paulo","airport","OurAirports" 2603,"João Simões Lopes Neto International Airport","Pelotas","Brazil","PET","SBPK",-31.718399,-52.327702,59,-3,"S","America/Sao_Paulo","airport","OurAirports" 2604,"Senador Nilo Coelho Airport","Petrolina","Brazil","PNZ","SBPL",-9.362409591674805,-40.56909942626953,1263,-3,"S","America/Fortaleza","airport","OurAirports" 2605,"Porto Nacional Airport","Porto Nacional","Brazil","PNB","SBPN",-10.719400405883789,-48.39970016479492,870,-3,"S","America/Fortaleza","airport","OurAirports" 2606,"Ponta Porã Airport","Ponta Pora","Brazil","PMG","SBPP",-22.54960060119629,-55.702598571777344,2156,-4,"S","America/Campo_Grande","airport","OurAirports" 2607,"Governador Jorge Teixeira de Oliveira Airport","Porto Velho","Brazil","PVH","SBPV",-8.70928955078125,-63.90230178833008,290,-4,"S","America/Boa_Vista","airport","OurAirports" 2609,"Plácido de Castro Airport","Rio Branco","Brazil","RBR","SBRB",-9.868888854980469,-67.89805603027344,633,-5,"S","America/Rio_Branco","airport","OurAirports" 2610,"Guararapes - Gilberto Freyre International Airport","Recife","Brazil","REC","SBRF",-8.126489639282227,-34.92359924316406,33,-3,"S","America/Fortaleza","airport","OurAirports" 2612,"Santos Dumont Airport","Rio De Janeiro","Brazil","SDU","SBRJ",-22.910499572799996,-43.1631011963,11,-3,"S","America/Sao_Paulo","airport","OurAirports" 2613,"Leite Lopes Airport","Ribeirao Preto","Brazil","RAO","SBRP",-21.136388778686523,-47.776668548583984,1806,-3,"S","America/Sao_Paulo","airport","OurAirports" 2614,"Santa Cruz Air Force Base","Rio De Janeiro","Brazil","SNZ","SBSC",-22.9324,-43.719101,10,-3,"S","America/Sao_Paulo","airport","OurAirports" 2615,"Professor Urbano Ernesto Stumpf Airport","Sao Jose Dos Campos","Brazil","SJK","SBSJ",-23.22920036315918,-45.86149978637695,2120,-3,"S","America/Sao_Paulo","airport","OurAirports" 2616,"Marechal Cunha Machado International Airport","Sao Luis","Brazil","SLZ","SBSL",-2.585360050201416,-44.234100341796875,178,-3,"S","America/Fortaleza","airport","OurAirports" 2618,"Congonhas Airport","Sao Paulo","Brazil","CGH","SBSP",-23.626110076904297,-46.65638732910156,2631,-3,"S","America/Sao_Paulo","airport","OurAirports" 2619,"Prof. Eribelto Manoel Reino State Airport","Sao Jose Do Rio Preto","Brazil","SJP","SBSR",-20.816600799599996,-49.40650177,1784,-3,"S","America/Sao_Paulo","airport","OurAirports" 2620,"Base Aérea de Santos Airport","Santos","Brazil","SSZ","SBST",-23.928056716918945,-46.299720764160156,10,-3,"S","America/Sao_Paulo","airport","OurAirports" 2621,"Deputado Luiz Eduardo Magalhães International Airport","Salvador","Brazil","SSA","SBSV",-12.9086112976,-38.3224983215,64,-3,"S","America/Fortaleza","airport","OurAirports" 2622,"Trombetas Airport","Oriximina","Brazil","TMT","SBTB",-1.489599943161,-56.396800994873,287,-3,"S","America/Belem","airport","OurAirports" 2623,"Senador Petrônio Portela Airport","Teresina","Brazil","THE","SBTE",-5.0599398613,-42.8235015869,219,-3,"S","America/Fortaleza","airport","OurAirports" 2624,"Tefé Airport","Tefe","Brazil","TFF","SBTF",-3.38294005394,-64.7240982056,188,-4,"S","America/Boa_Vista","airport","OurAirports" 2625,"Tarauacá Airport","Tarauaca","Brazil","TRQ","SBTK",-8.1552600860596,-70.783302307129,646,-5,"S","America/Rio_Branco","airport","OurAirports" 2626,"Telêmaco Borba Airport","Telemaco Borba","Brazil","TEC","SBTL",-24.317800521850586,-50.6515998840332,2610,-3,"S","America/Sao_Paulo","airport","OurAirports" 2627,"Tiriós Airport","Obidos Tirios","Brazil",\N,"SBTS",2.22347,-55.946098,1127,-3,"S","America/Belem","airport","OurAirports" 2628,"Tabatinga Airport","Tabatinga","Brazil","TBT","SBTT",-4.2556700706482,-69.93579864502,279,-4,"S","America/Boa_Vista","airport","OurAirports" 2629,"Tucuruí Airport","Tucurui","Brazil","TUR","SBTU",-3.7860100269318,-49.72029876709,830,-3,"S","America/Belem","airport","OurAirports" 2630,"São Gabriel da Cachoeira Airport","Sao Gabriel","Brazil","SJL","SBUA",-0.14835,-66.9855,251,-4,"S","America/Boa_Vista","airport","OurAirports" 2631,"Paulo Afonso Airport","Paulo Alfonso","Brazil","PAV","SBUF",-9.4008798599243,-38.250598907471,883,-3,"S","America/Fortaleza","airport","OurAirports" 2632,"Rubem Berta Airport","Uruguaiana","Brazil","URG","SBUG",-29.7821998596,-57.0382003784,256,-3,"S","America/Sao_Paulo","airport","OurAirports" 2633,"Ten. Cel. Aviador César Bombonato Airport","Uberlandia","Brazil","UDI","SBUL",-18.883612,-48.225277,3094,-3,"S","America/Sao_Paulo","airport","OurAirports" 2635,"Mário de Almeida Franco Airport","Uberaba","Brazil","UBA","SBUR",-19.764722824097,-47.966110229492,2655,-3,"S","America/Sao_Paulo","airport","OurAirports" 2636,"Major Brigadeiro Trompowsky Airport","Varginha","Brazil","VAG","SBVG",-21.5900993347,-45.4733009338,3025,-3,"S","America/Sao_Paulo","airport","OurAirports" 2637,"Brigadeiro Camarão Airport","Vilhena","Brazil","BVH","SBVH",-12.694399833679,-60.098300933838,2018,-4,"S","America/Boa_Vista","airport","OurAirports" 2638,"Eurico de Aguiar Salles Airport","Vitoria","Brazil","VIX","SBVT",-20.258057,-40.286388,11,-3,"S","America/Sao_Paulo","airport","OurAirports" 2639,"Iauaretê Airport","Iauarete","Brazil",\N,"SBYA",0.6075000166893,-69.18579864502,345,-4,"S","America/Boa_Vista","airport","OurAirports" 2640,"Campo Fontenelle Airport","Piracununga","Brazil","QPS","SBYS",-21.984600067138672,-47.334800720214844,1968,-3,"S","America/Sao_Paulo","airport","OurAirports" 2641,"Chacalluta Airport","Arica","Chile","ARI","SCAR",-18.348499,-70.338699,167,-4,"S","America/Santiago","airport","OurAirports" 2642,"Balmaceda Airport","Balmaceda","Chile","BBA","SCBA",-45.916099548339844,-71.68949890136719,1722,-4,"S","America/Santiago","airport","OurAirports" 2643,"El Bosque Airport","Santiago","Chile",\N,"SCBQ",-33.561798095703125,-70.68840026855469,1844,-4,"S","America/Santiago","airport","OurAirports" 2644,"Chile Chico Airport","Chile Chico","Chile","CCH","SCCC",-46.58330154418945,-71.6874008178711,1070,-4,"S","America/Santiago","airport","OurAirports" 2645,"El Loa Airport","Calama","Chile","CJC","SCCF",-22.498199462890625,-68.90360260009766,7543,-4,"S","America/Santiago","airport","OurAirports" 2646,"Gral. Bernardo O´Higgins Airport","Chillan","Chile","YAI","SCCH",-36.58250045776367,-72.03140258789062,495,-4,"S","America/Santiago","airport","OurAirports" 2647,"Pdte. Carlos Ibañez del Campo Airport","Punta Arenas","Chile","PUQ","SCCI",-53.002602,-70.854599,139,-4,"S","America/Santiago","airport","OurAirports" 2648,"Teniente Vidal Airport","Coyhaique","Chile","GXQ","SCCY",-45.594200134277344,-72.1061019897461,1020,-4,"S","America/Santiago","airport","OurAirports" 2649,"Diego Aracena Airport","Iquique","Chile","IQQ","SCDA",-20.535200119018555,-70.1812973022461,155,-4,"S","America/Santiago","airport","OurAirports" 2650,"Comodoro Arturo Merino Benítez International Airport","Santiago","Chile","SCL","SCEL",-33.393001556396484,-70.78579711914062,1555,-4,"S","America/Santiago","airport","OurAirports" 2651,"Andrés Sabella Gálvez International Airport","Antofagasta","Chile","ANF","SCFA",-23.444501,-70.445099,455,-4,"S","America/Santiago","airport","OurAirports" 2652,"Capitan Fuentes Martinez Airport Airport","Porvenir","Chile","WPR","SCFM",-53.253700256347656,-70.31919860839844,104,-4,"S","America/Santiago","airport","OurAirports" 2653,"Futaleufú Airport","Futaleufu","Chile","FFU","SCFT",-43.18920135498047,-71.8510971069336,1148,-4,"S","America/Santiago","airport","OurAirports" 2654,"María Dolores Airport","Los Angeles","Chile","LSQ","SCGE",-37.40169906616211,-72.42539978027344,374,-4,"S","America/Santiago","airport","OurAirports" 2655,"Guardiamarina Zañartu Airport","Puerto Williams","Chile","WPU","SCGZ",-54.93109893798828,-67.62629699707031,88,-4,"S","America/Santiago","airport","OurAirports" 2656,"Carriel Sur Airport","Concepcion","Chile","CCP","SCIE",-36.772701,-73.063103,26,-4,"S","America/Santiago","airport","OurAirports" 2657,"Mataveri Airport","Easter Island","Chile","IPC","SCIP",-27.1648006439,-109.42199707,227,-6,"S","Pacific/Easter","airport","OurAirports" 2658,"Cañal Bajo Carlos - Hott Siebert Airport","Osorno","Chile","ZOS","SCJO",-40.61119842529297,-73.06099700927734,187,-4,"S","America/Santiago","airport","OurAirports" 2659,"Vallenar Airport","Vallenar","Chile","VLR","SCLL",-28.596399307250977,-70.75599670410156,1725,-4,"S","America/Santiago","airport","OurAirports" 2660,"De La Independencia Airport","Rancagua","Chile","QRC","SCRG",-34.17369842529297,-70.77570343017578,1446,-4,"S","America/Santiago","airport","OurAirports" 2661,"Teniente Rodolfo Marsh Martin Base","Isla Rey Jorge","Antarctica","TNM","SCRM",-62.1907997131,-58.9866981506,147,12,"U","Antarctica/South_Pole","airport","OurAirports" 2662,"La Florida Airport","La Serena","Chile","LSC","SCSE",-29.916201,-71.199501,481,-4,"S","America/Santiago","airport","OurAirports" 2663,"Eulogio Sánchez Airport","Santiago","Chile",\N,"SCTB",-33.456298828125,-70.54669952392578,2129,-4,"S","America/Santiago","airport","OurAirports" 2664,"Maquehue Airport","Temuco","Chile","PZS","SCTC",-38.766799926758,-72.637100219727,304,-4,"S","America/Santiago","airport","OurAirports" 2665,"El Tepual Airport","Puerto Montt","Chile","PMC","SCTE",-41.438899993896484,-73.09400177001953,294,-4,"S","America/Santiago","airport","OurAirports" 2666,"Chaitén Airport","Chaiten","Chile","WCH","SCTN",-42.93280029296875,-72.6990966796875,13,-4,"S","America/Santiago","airport","OurAirports" 2667,"Pichoy Airport","Valdivia","Chile","ZAL","SCVD",-39.6500015259,-73.0860977173,59,-4,"S","America/Santiago","airport","OurAirports" 2668,"Chachoán Airport","Ambato","Ecuador","ATF","SEAM",-1.2120699882507324,-78.57460021972656,8502,-5,"U","America/Guayaquil","airport","OurAirports" 2669,"Hacienda Clementina Airport","Clementia","Ecuador",\N,"SECM",-1.7062699794769287,-79.37889862060547,328,-5,"U","America/Guayaquil","airport","OurAirports" 2670,"Francisco De Orellana Airport","Coca","Ecuador","OCC","SECO",-0.4628860056400299,-76.98680114746094,834,-5,"U","America/Guayaquil","airport","OurAirports" 2671,"Mariscal Lamar Airport","Cuenca","Ecuador","CUE","SECU",-2.88947,-78.984398,8306,-5,"U","America/Guayaquil","airport","OurAirports" 2672,"Seymour Airport","Galapagos","Ecuador","GPS","SEGS",-0.45375800132751465,-90.26589965820312,207,-6,"U","Pacific/Galapagos","airport","OurAirports" 2673,"José Joaquín de Olmedo International Airport","Guayaquil","Ecuador","GYE","SEGU",-2.1574199199699997,-79.88359832760001,19,-5,"U","America/Guayaquil","airport","OurAirports" 2674,"Gualaquiza Airport","Gualaquiza","Ecuador",\N,"SEGZ",-3.4232099056243896,-78.56700134277344,2640,-5,"U","America/Guayaquil","airport","OurAirports" 2675,"Atahualpa Airport","Ibarra","Ecuador",\N,"SEIB",0.33841899037361145,-78.13639831542969,7304,-5,"U","America/Guayaquil","airport","OurAirports" 2676,"Km 192 Airport","Km-192","Ecuador",\N,"SEKK",0.18420299887657166,-79.39199829101562,1247,-5,"U","America/Guayaquil","airport","OurAirports" 2677,"Hacienda La Julia Airport","La Julia","Ecuador",\N,"SELJ",-1.7043800354003906,-79.55229949951172,50,-5,"U","America/Guayaquil","airport","OurAirports" 2678,"Cotopaxi International Airport","Latacunga","Ecuador","LTX","SELT",-0.906833,-78.615799,9205,-5,"U","America/Guayaquil","airport","OurAirports" 2679,"Jose Maria Velasco Ibarra Airport","Macara","Ecuador","MRR","SEMA",-4.37823009491,-79.94100189210002,1508,-5,"U","America/Guayaquil","airport","OurAirports" 2680,"Coronel E Carvajal Airport","Macas","Ecuador","XMS","SEMC",-2.2991700172424316,-78.12079620361328,3452,-5,"U","America/Guayaquil","airport","OurAirports" 2681,"General Manuel Serrano Airport","Machala","Ecuador","MCH","SEMH",-3.2689,-79.961601,11,-5,"U","America/Guayaquil","airport","OurAirports" 2682,"El Carmen Airport","Montalvo","Ecuador",\N,"SEMO",-2.067009925842285,-76.97570037841797,960,-5,"U","America/Guayaquil","airport","OurAirports" 2683,"Eloy Alfaro International Airport","Manta","Ecuador","MEC","SEMT",-0.9460780024528503,-80.67880249023438,48,-5,"U","America/Guayaquil","airport","OurAirports" 2684,"Maragrosa Airport","Maragrosa","Ecuador",\N,"SEMX",-2.851099967956543,-79.80359649658203,18,-5,"U","America/Guayaquil","airport","OurAirports" 2685,"Amable Calle Gutierrez Airport","Pasaje","Ecuador",\N,"SEPS",-3.3196699619293213,-79.76920318603516,22,-5,"U","America/Guayaquil","airport","OurAirports" 2686,"Reales Tamarindos Airport","Portoviejo","Ecuador","PVO","SEPV",-1.0416500568389893,-80.47219848632812,130,-5,"U","America/Guayaquil","airport","OurAirports" 2687,"Quevedo Airport","Quevedo","Ecuador",\N,"SEQE",-0.9894000291824341,-79.46510314941406,350,-5,"U","America/Guayaquil","airport","OurAirports" 2688,"Mariscal Sucre International Airport","Quito","Ecuador","UIO","SEQM",-0.129166666667,-78.3575,7841,-5,"U","America/Guayaquil","airport","OurAirports" 2689,"Chimborazo Airport","Riobamba","Ecuador",\N,"SERB",-1.6534299850463867,-78.65609741210938,9151,-5,"U","America/Guayaquil","airport","OurAirports" 2690,"Santa Rosa International Airport","Santa Rosa","Ecuador","ETR","SERO",-3.441986,-79.996957,20,-5,"U","America/Guayaquil","airport","OurAirports" 2691,"General Ulpiano Paez Airport","Salinas","Ecuador","SNC","SESA",-2.20499,-80.988899,18,-5,"U","America/Guayaquil","airport","OurAirports" 2692,"Santo Domingo de Los Colorados Airport","Santo Domingo","Ecuador",\N,"SESD",-0.2482219934463501,-79.21440124511719,1714,-5,"U","America/Guayaquil","airport","OurAirports" 2694,"Taura Airport","Taura","Ecuador",\N,"SETA",-2.261039972305298,-79.6801986694336,56,-5,"U","America/Guayaquil","airport","OurAirports" 2695,"Mayor Galo Torres Airport","Tena","Ecuador",\N,"SETE",-0.9867669939994812,-77.81950378417969,1708,-5,"U","America/Guayaquil","airport","OurAirports" 2696,"Tarapoa Airport","Tarapoa","Ecuador","TPC","SETR",-0.12295600026845932,-76.33779907226562,814,-5,"U","America/Guayaquil","airport","OurAirports" 2697,"Teniente Coronel Luis a Mantilla Airport","Tulcan","Ecuador","TUA","SETU",0.8095059990882874,-77.70809936523438,9649,-5,"U","America/Guayaquil","airport","OurAirports" 2699,"Silvio Pettirossi International Airport","Asuncion","Paraguay","ASU","SGAS",-25.239999771118164,-57.52000045776367,292,-4,"S","America/Asuncion","airport","OurAirports" 2700,"Juan De Ayolas Airport","Ayolas","Paraguay","AYO","SGAY",-27.370554,-56.854064,223,-4,"S","America/Asuncion","airport","OurAirports" 2701,"Teniente Col Carmelo Peralta Airport","Conception","Paraguay","CIO","SGCO",-23.442363,-57.427253,253,-4,"S","America/Asuncion","airport","OurAirports" 2702,"Itaipú Airport","Itaipu","Paraguay",\N,"SGIB",-25.407519,-54.619377,762,-4,"S","America/Asuncion","airport","OurAirports" 2703,"Dr. Luis Maria Argaña International Airport","Mariscal Estigarribia","Paraguay","ESG","SGME",-22.049999237060547,-60.619998931884766,553,-4,"S","America/Asuncion","airport","OurAirports" 2704,"Carlos Miguel Gimenez Airport","Pilar","Paraguay","PIL","SGPI",-26.881224,-58.318026,249,-4,"S","America/Asuncion","airport","OurAirports" 2705,"El Eden Airport","Armenia","Colombia","AXM","SKAR",4.45278,-75.7664,3990,-5,"U","America/Bogota","airport","OurAirports" 2706,"Tres De Mayo Airport","Puerto Asis","Colombia","PUU","SKAS",0.505228,-76.5008,815,-5,"U","America/Bogota","airport","OurAirports" 2707,"Las Flores Airport","El Banco","Colombia","ELB","SKBC",9.04554,-73.9749,111,-5,"U","America/Bogota","airport","OurAirports" 2708,"Palonegro Airport","Bucaramanga","Colombia","BGA","SKBG",7.1265,-73.1848,3897,-5,"U","America/Bogota","airport","OurAirports" 2709,"El Dorado International Airport","Bogota","Colombia","BOG","SKBO",4.70159,-74.1469,8361,-5,"U","America/Bogota","airport","OurAirports" 2710,"Ernesto Cortissoz International Airport","Barranquilla","Colombia","BAQ","SKBQ",10.8896,-74.7808,98,-5,"U","America/Bogota","airport","OurAirports" 2711,"José Celestino Mutis Airport","Bahia Solano","Colombia","BSC","SKBS",6.20292,-77.3947,80,-5,"U","America/Bogota","airport","OurAirports" 2712,"Gerardo Tobar López Airport","Buenaventura","Colombia","BUN","SKBU",3.81963,-76.9898,48,-5,"U","America/Bogota","airport","OurAirports" 2713,"Camilo Daza International Airport","Cucuta","Colombia","CUC","SKCC",7.92757,-72.5115,1096,-5,"U","America/Bogota","airport","OurAirports" 2714,"Rafael Nuñez International Airport","Cartagena","Colombia","CTG","SKCG",10.4424,-75.513,4,-5,"U","America/Bogota","airport","OurAirports" 2715,"Alfonso Bonilla Aragon International Airport","Cali","Colombia","CLO","SKCL",3.54322,-76.3816,3162,-5,"U","America/Bogota","airport","OurAirports" 2716,"La Florida Airport","Tumaco","Colombia","TCO","SKCO",1.81442,-78.7492,8,-5,"U","America/Bogota","airport","OurAirports" 2717,"Las Brujas Airport","Corozal","Colombia","CZU","SKCZ",9.33274,-75.2856,528,-5,"U","America/Bogota","airport","OurAirports" 2718,"Yariguíes Airport","Barrancabermeja","Colombia","EJA","SKEJ",7.02433,-73.8068,412,-5,"U","America/Bogota","airport","OurAirports" 2719,"Gustavo Artunduaga Paredes Airport","Florencia","Colombia","FLA","SKFL",1.58919,-75.5644,803,-5,"U","America/Bogota","airport","OurAirports" 2720,"Santiago Vila Airport","Girardot","Colombia","GIR","SKGI",4.27624,-74.7967,900,-5,"U","America/Bogota","airport","OurAirports" 2722,"Juan Casiano Airport","Guapi","Colombia","GPI","SKGP",2.57013,-77.8986,164,-5,"U","America/Bogota","airport","OurAirports" 2723,"Guaymaral Airport","Guaymaral","Colombia",\N,"SKGY",4.81233,-74.0649,8390,-5,"U","America/Bogota","airport","OurAirports" 2724,"Perales Airport","Ibague","Colombia","IBE","SKIB",4.42161,-75.1333,2999,-5,"U","America/Bogota","airport","OurAirports" 2725,"San Luis Airport","Ipiales","Colombia","IPI","SKIP",0.861925,-77.6718,9765,-5,"U","America/Bogota","airport","OurAirports" 2726,"Antonio Roldan Betancourt Airport","Carepa","Colombia","APO","SKLC",7.81196,-76.7164,46,-5,"U","America/Bogota","airport","OurAirports" 2727,"Jorge Isaac Airport","La Mina","Colombia","MCJ","SKLM",11.2325,-72.4901,281,-5,"U","America/Bogota","airport","OurAirports" 2728,"Alfredo Vásquez Cobo International Airport","Leticia","Colombia","LET","SKLT",-4.19355,-69.9432,277,-5,"U","America/Bogota","airport","OurAirports" 2729,"Enrique Olaya Herrera Airport","Medellin","Colombia","EOH","SKMD",6.220549,-75.590582,4949,-5,"U","America/Bogota","airport","OurAirports" 2730,"Baracoa Airport","Magangue","Colombia","MGN","SKMG",9.28474,-74.8461,178,-5,"U","America/Bogota","airport","OurAirports" 2731,"Los Garzones Airport","Monteria","Colombia","MTR","SKMR",8.82374,-75.8258,36,-5,"U","America/Bogota","airport","OurAirports" 2732,"Fabio Alberto Leon Bentley Airport","Mitu","Colombia","MVP","SKMU",1.25366,-70.2339,680,-5,"U","America/Bogota","airport","OurAirports" 2733,"La Nubia Airport","Manizales","Colombia","MZL","SKMZ",5.0296,-75.4647,6871,-5,"U","America/Bogota","airport","OurAirports" 2734,"Benito Salas Airport","Neiva","Colombia","NVA","SKNV",2.95015,-75.294,1464,-5,"U","America/Bogota","airport","OurAirports" 2735,"Aguas Claras Airport","Ocana","Colombia","OCV","SKOC",8.31506,-73.3583,3850,-5,"U","America/Bogota","airport","OurAirports" 2736,"Otu Airport","Otu","Colombia","OTU","SKOT",7.01037,-74.7155,2060,-5,"U","America/Bogota","airport","OurAirports" 2737,"Puerto Bolívar Airport","Puerto Bolivar","Colombia",\N,"SKPB",12.2215,-71.9848,90,-5,"U","America/Bogota","airport","OurAirports" 2738,"German Olano Airport","Puerto Carreno","Colombia","PCR","SKPC",6.18472,-67.4932,177,-5,"U","America/Bogota","airport","OurAirports" 2739,"Matecaña International Airport","Pereira","Colombia","PEI","SKPE",4.81267,-75.7395,4416,-5,"U","America/Bogota","airport","OurAirports" 2740,"Pitalito Airport","Pitalito","Colombia","PTX","SKPI",1.85777,-76.0857,4212,-5,"U","America/Bogota","airport","OurAirports" 2741,"Guillermo León Valencia Airport","Popayan","Colombia","PPN","SKPP",2.4544,-76.6093,5687,-5,"U","America/Bogota","airport","OurAirports" 2742,"Antonio Narino Airport","Pasto","Colombia","PSO","SKPS",1.39625,-77.2915,5951,-5,"U","America/Bogota","airport","OurAirports" 2743,"El Embrujo Airport","Providencia","Colombia","PVA","SKPV",13.3569,-81.3583,10,-5,"U","America/Bogota","airport","OurAirports" 2744,"Mariquita Airport","Mariquita","Colombia","MQU","SKQU",5.21256,-74.8836,1531,-5,"U","America/Bogota","airport","OurAirports" 2745,"Jose Maria Córdova International Airport","Rio Negro","Colombia","MDE","SKRG",6.16454,-75.4231,6955,-5,"U","America/Bogota","airport","OurAirports" 2746,"Almirante Padilla Airport","Rio Hacha","Colombia","RCH","SKRH",11.5262,-72.926,43,-5,"U","America/Bogota","airport","OurAirports" 2747,"Jorge E. Gonzalez Torres Airport","San Jose Del Guaviare","Colombia","SJE","SKSJ",2.57969,-72.6394,605,-5,"U","America/Bogota","airport","OurAirports" 2748,"Simón Bolívar International Airport","Santa Marta","Colombia","SMR","SKSM",11.1196,-74.2306,22,-5,"U","America/Bogota","airport","OurAirports" 2749,"Gustavo Rojas Pinilla International Airport","San Andres Island","Colombia","ADZ","SKSP",12.5836,-81.7112,19,-5,"U","America/Bogota","airport","OurAirports" 2750,"Eduardo Falla Solano Airport","San Vincente De Caguan","Colombia","SVI","SKSV",2.15217,-74.7663,920,-5,"U","America/Bogota","airport","OurAirports" 2751,"Gustavo Vargas Airport","Tame","Colombia","TME","SKTM",6.45108,-71.7603,1050,-5,"U","America/Bogota","airport","OurAirports" 2752,"Santiago Perez Airport","Arauca","Colombia","AUC","SKUC",7.06888,-70.7369,420,-5,"U","America/Bogota","airport","OurAirports" 2753,"El Caraño Airport","Quibdo","Colombia","UIB","SKUI",5.69076,-76.6412,204,-5,"U","America/Bogota","airport","OurAirports" 2754,"Heriberto Gíl Martínez Airport","Tulua","Colombia","ULQ","SKUL",4.08836,-76.2351,3132,-5,"U","America/Bogota","airport","OurAirports" 2755,"Alfonso López Pumarejo Airport","Valledupar","Colombia","VUP","SKVP",10.435,-73.2495,483,-5,"U","America/Bogota","airport","OurAirports" 2756,"Vanguardia Airport","Villavicencio","Colombia","VVC","SKVV",4.16787,-73.6138,1394,-5,"U","America/Bogota","airport","OurAirports" 2758,"Bermejo Airport","Bermejo","Bolivia","BJO","SLBJ",-22.7733001709,-64.31289672850001,1249,-4,"U","America/La_Paz","airport","OurAirports" 2759,"Jorge Wilsterman International Airport","Cochabamba","Bolivia","CBB","SLCB",-17.421100616455078,-66.1771011352539,8360,-4,"U","America/La_Paz","airport","OurAirports" 2760,"Chimore Airport","Chapacura","Bolivia","CCA","SLCH",-16.976834,-65.145568,875,-4,"U","America/La_Paz","airport","OurAirports" 2761,"Capitán Aníbal Arab Airport","Cobija","Bolivia","CIJ","SLCO",-11.040399551400002,-68.7829971313,889,-4,"U","America/La_Paz","airport","OurAirports" 2762,"El Alto International Airport","La Paz","Bolivia","LPB","SLLP",-16.5132999420166,-68.19229888916016,13355,-4,"U","America/La_Paz","airport","OurAirports" 2763,"Juan Mendoza Airport","Oruro","Bolivia","ORU","SLOR",-17.962600708,-67.0762023926,12152,-4,"U","America/La_Paz","airport","OurAirports" 2764,"Capitan Nicolas Rojas Airport","Potosi","Bolivia","POI","SLPO",-19.5431003571,-65.72370147710001,12913,-4,"U","America/La_Paz","airport","OurAirports" 2765,"Capitán Av. Salvador Ogaya G. airport","Puerto Suarez","Bolivia","PSZ","SLPS",-18.975301,-57.820599,440,-4,"U","America/La_Paz","airport","OurAirports" 2766,"Santa Ana Del Yacuma Airport","Santa Ana","Bolivia","SBL","SLSA",-13.762200355500001,-65.4352035522,472,-4,"U","America/La_Paz","airport","OurAirports" 2767,"Juana Azurduy De Padilla Airport","Sucre","Bolivia","SRE","SLSU",-19.007099151611328,-65.2886962890625,9540,-4,"U","America/La_Paz","airport","OurAirports" 2768,"Capitan Oriel Lea Plaza Airport","Tarija","Bolivia","TJA","SLTJ",-21.5557003021,-64.7013015747,6079,-4,"U","America/La_Paz","airport","OurAirports" 2769,"Teniente Av. Jorge Henrich Arauz Airport","Trinidad","Bolivia","TDD","SLTR",-14.8186998367,-64.9179992676,509,-4,"U","America/La_Paz","airport","OurAirports" 2770,"Teniente Coronel Rafael Pabón Airport","Villa Montes","Bolivia","VLM","SLVM",-21.255199432399998,-63.4056015015,1305,-4,"U","America/La_Paz","airport","OurAirports" 2771,"Viru Viru International Airport","Santa Cruz","Bolivia","VVI","SLVR",-17.6448,-63.135399,1224,-4,"U","America/La_Paz","airport","OurAirports" 2772,"Yacuiba Airport","Yacuiba","Bolivia","BYC","SLYA",-21.960899353027344,-63.65169906616211,2112,-4,"U","America/La_Paz","airport","OurAirports" 2773,"Johan Adolf Pengel International Airport","Zandery","Suriname","PBM","SMJP",5.4528298377999995,-55.1878013611,59,-3,"U","America/Paramaribo","airport","OurAirports" 2774,"Cayenne-Rochambeau Airport","Cayenne","French Guiana","CAY","SOCA",4.819809913639999,-52.360401153599994,26,-3,"U","America/Cayenne","airport","OurAirports" 2775,"Saint-Georges-de-l'Oyapock Airport","St.-georges Oyapock","French Guiana","OYP","SOOG",3.89759993553,-51.8041000366,46,-3,"U","America/Cayenne","airport","OurAirports" 2776,"Huancabamba Airport","Huancabamba","Peru",\N,"SPAB",-5.256770133972168,-79.44290161132812,6312,-5,"U","America/Lima","airport","OurAirports" 2777,"Alferez FAP Alfredo Vladimir Sara Bauer Airport","Andoas","Peru","AOP","SPAS",-2.79612994194,-76.46659851070001,728,-5,"U","America/Lima","airport","OurAirports" 2778,"Teniente General Gerardo Pérez Pinedo Airport","Atalaya","Peru",\N,"SPAY",-10.7291002274,-73.7665023804,751,-5,"U","America/Lima","airport","OurAirports" 2780,"Iberia Airport","Iberia","Peru","IBP","SPBR",-11.411600112915039,-69.48870086669922,750,-5,"U","America/Lima","airport","OurAirports" 2781,"Cap FAP David Abenzur Rengifo International Airport","Pucallpa","Peru","PCL","SPCL",-8.37794017791748,-74.57430267333984,513,-5,"U","America/Lima","airport","OurAirports" 2782,"Teniente FAP Jaime A De Montreuil Morales Airport","Chimbote","Peru","CHM","SPEO",-9.149609565734863,-78.5238037109375,69,-5,"U","America/Lima","airport","OurAirports" 2783,"Puerto Esperanza Airport","Puerto Esperanza","Peru",\N,"SPEP",-9.7681303024292,-70.70649719238281,725,-5,"U","America/Lima","airport","OurAirports" 2784,"Cesar Torke Podesta Airport","Moquegua","Peru",\N,"SPEQ",-17.179000854492188,-70.93080139160156,4480,-5,"U","America/Lima","airport","OurAirports" 2785,"Capitan FAP Jose A Quinones Gonzales International Airport","Chiclayo","Peru","CIX","SPHI",-6.787479877471924,-79.8281021118164,97,-5,"U","America/Lima","airport","OurAirports" 2786,"Coronel FAP Alfredo Mendivil Duarte Airport","Ayacucho","Peru","AYP","SPHO",-13.154800415039062,-74.20439910888672,8917,-5,"U","America/Lima","airport","OurAirports" 2787,"Andahuaylas Airport","Andahuaylas","Peru","ANS","SPHY",-13.706399917602539,-73.35040283203125,11300,-5,"U","America/Lima","airport","OurAirports" 2788,"Comandante FAP German Arias Graziani Airport","Anta","Peru","ATA","SPHZ",-9.347439765930176,-77.59839630126953,9097,-5,"U","America/Lima","airport","OurAirports" 2789,"Jorge Chávez International Airport","Lima","Peru","LIM","SPIM",-12.0219,-77.114305,113,-5,"U","America/Lima","airport","OurAirports" 2790,"Juanjui Airport","Juanjui","Peru","JJI","SPJI",-7.169099807739258,-76.72859954833984,1148,-5,"U","America/Lima","airport","OurAirports" 2791,"Francisco Carle Airport","Jauja","Peru","JAU","SPJJ",-11.7831001282,-75.47339630130001,11034,-5,"U","America/Lima","airport","OurAirports" 2792,"Inca Manco Capac International Airport","Juliaca","Peru","JUL","SPJL",-15.467100143432617,-70.158203125,12552,-5,"U","America/Lima","airport","OurAirports" 2794,"Ilo Airport","Ilo","Peru","ILQ","SPLO",-17.69499969482422,-71.34400177001953,72,-5,"U","America/Lima","airport","OurAirports" 2795,"Las Palmas Air Base","Las Palmas","Peru",\N,"SPLP",-12.16069984436,-76.998901367188,250,-5,"U","America/Lima","airport","OurAirports" 2796,"Capitan FAP Pedro Canga Rodriguez Airport","Tumbes","Peru","TBP","SPME",-3.55253005027771,-80.38140106201172,115,-5,"U","America/Lima","airport","OurAirports" 2797,"Moises Benzaquen Rengifo Airport","Yurimaguas","Peru","YMS","SPMS",-5.893770217895508,-76.11820220947266,587,-5,"U","America/Lima","airport","OurAirports" 2799,"Collique Airport","Collique","Peru",\N,"SPOL",-11.92870044708252,-77.06109619140625,410,-5,"U","America/Lima","airport","OurAirports" 2800,"Chachapoyas Airport","Chachapoyas","Peru","CHH","SPPY",-6.201809883117676,-77.8561019897461,8333,-5,"U","America/Lima","airport","OurAirports" 2801,"Coronel FAP Francisco Secada Vignetta International Airport","Iquitos","Peru","IQT","SPQT",-3.7847399711608887,-73.30879974365234,306,-5,"U","America/Lima","airport","OurAirports" 2802,"Rodríguez Ballón International Airport","Arequipa","Peru","AQP","SPQU",-16.3411006927,-71.5830993652,8405,-5,"U","America/Lima","airport","OurAirports" 2803,"Capitán FAP Leonardo Alvariño Herr Airport","San Ramon","Peru",\N,"SPRM",-11.128600120544434,-75.35050201416016,2600,-5,"U","America/Lima","airport","OurAirports" 2804,"Capitan FAP Carlos Martinez De Pinillos International Airport","Trujillo","Peru","TRU","SPRU",-8.08141040802002,-79.10880279541016,106,-5,"U","America/Lima","airport","OurAirports" 2805,"Capitán FAP Renán Elías Olivera International Airport","Pisco","Peru","PIO","SPSO",-13.74489974975586,-76.22029876708984,39,-5,"U","America/Lima","airport","OurAirports" 2806,"Cadete FAP Guillermo Del Castillo Paredes Airport","Tarapoto","Peru","TPP","SPST",-6.508739948272705,-76.37319946289062,869,-5,"U","America/Lima","airport","OurAirports" 2807,"Coronel FAP Carlos Ciriani Santa Rosa International Airport","Tacna","Peru","TCQ","SPTN",-18.053300857500002,-70.2758026123,1538,-5,"U","America/Lima","airport","OurAirports" 2808,"Padre Aldamiz International Airport","Puerto Maldonado","Peru","PEM","SPTU",-12.6135997772,-69.2285995483,659,-5,"U","America/Lima","airport","OurAirports" 2809,"Capitán FAP Guillermo Concha Iberico International Airport","Piura","Peru","PIU","SPUR",-5.20574998856,-80.61640167239999,120,-5,"U","America/Lima","airport","OurAirports" 2810,"Capitan Montes Airport","Talara","Peru","TYL","SPYL",-4.5766401290894,-81.254096984863,282,-5,"U","America/Lima","airport","OurAirports" 2812,"Alejandro Velasco Astete International Airport","Cuzco","Peru","CUZ","SPZO",-13.535699844400002,-71.9387969971,10860,-5,"U","America/Lima","airport","OurAirports" 2813,"Angel S Adami Airport","Montevideo","Uruguay",\N,"SUAA",-34.7892,-56.264702,174,-3,"S","America/Montevideo","airport","OurAirports" 2814,"Santa Bernardina International Airport","Durazno","Uruguay","DZO","SUDU",-33.3588981628418,-56.49919891357422,305,-3,"S","America/Montevideo","airport","OurAirports" 2816,"Carrasco International /General C L Berisso Airport","Montevideo","Uruguay","MVD","SUMU",-34.838402,-56.0308,105,-3,"S","America/Montevideo","airport","OurAirports" 2817,"Nueva Hesperides International Airport","Salto","Uruguay","STY","SUSO",-31.438499450683594,-57.98529815673828,187,-3,"S","America/Montevideo","airport","OurAirports" 2818,"Oswaldo Guevara Mujica Airport","Acarigua","Venezuela","AGV","SVAC",9.553375244140625,-69.23786926269531,640,-4,"U","America/Caracas","airport","OurAirports" 2819,"Anaco Airport","Anaco","Venezuela","AAO","SVAN",9.430225372314453,-64.4707260131836,721,-4,"U","America/Caracas","airport","OurAirports" 2820,"San Fernando de Atabapo Airport","San Fernando Deatabapo","Venezuela",\N,"SVAT",4.05104017258,-67.6996994019,301,-4,"U","America/Caracas","airport","OurAirports" 2821,"General José Antonio Anzoategui International Airport","Barcelona","Venezuela","BLA","SVBC",10.111111,-64.692222,30,-4,"U","America/Caracas","airport","OurAirports" 2822,"Barinas Airport","Barinas","Venezuela","BNS","SVBI",8.615,-70.21416667,615,-4,"U","America/Caracas","airport","OurAirports" 2823,"El Libertador Airbase","Maracaibo","Venezuela",\N,"SVBL",10.183375358600001,-67.55731964110001,1450,-4,"U","America/Caracas","airport","OurAirports" 2824,"Barquisimeto International Airport","Barquisimeto","Venezuela","BRM","SVBM",10.042746543884277,-69.3586196899414,2042,-4,"U","America/Caracas","airport","OurAirports" 2826,"Aeropuerto ""General Tomas de Heres"". Ciudad Bolivar","Ciudad Bolivar","Venezuela","CBL","SVCB",8.12216091156,-63.5369567871,197,-4,"U","America/Caracas","airport","OurAirports" 2827,"Caicara del Orinoco Airport","Caicara De Orinoco","Venezuela","CXA","SVCD",7.625510215759277,-66.16280364990234,141,-4,"U","America/Caracas","airport","OurAirports" 2828,"San Carlos Airport","San Carlos","Venezuela",\N,"SVCJ",9.647720336914062,-68.57469940185547,512,-4,"U","America/Caracas","airport","OurAirports" 2829,"Calabozo Airport","Calabozo","Venezuela","CLZ","SVCL",8.92465591430664,-67.4170913696289,328,-4,"U","America/Caracas","airport","OurAirports" 2830,"Canaima Airport","Canaima","Venezuela","CAJ","SVCN",6.231988906860352,-62.85443115234375,1450,-4,"U","America/Caracas","airport","OurAirports" 2831,"Carora Airport","Carora","Venezuela","VCR","SVCO",10.175602912902832,-70.06521606445312,1437,-4,"U","America/Caracas","airport","OurAirports" 2832,"General Francisco Bermúdez Airport","Carupano","Venezuela","CUP","SVCP",10.660014152526855,-63.261680603027344,33,-4,"U","America/Caracas","airport","OurAirports" 2833,"José Leonardo Chirinos Airport","Coro","Venezuela","CZE","SVCR",11.41494369506836,-69.68090057373047,52,-4,"U","America/Caracas","airport","OurAirports" 2834,"Oscar Machado Zuluaga Airport","Caracas","Venezuela",\N,"SVCS",10.286110877990723,-66.81610870361328,2145,-4,"U","America/Caracas","airport","OurAirports" 2835,"Cumaná (Antonio José de Sucre) Airport","Cumana","Venezuela","CUM","SVCU",10.450332641601562,-64.1304702758789,14,-4,"U","America/Caracas","airport","OurAirports" 2836,"Capitán Manuel Ríos Airbase","Carrizal","Venezuela",\N,"SVCZ",9.372650146484375,-66.92279815673828,595,-4,"U","America/Caracas","airport","OurAirports" 2837,"El Dorado Airport","El Dorado","Venezuela","EOR","SVED",6.733333110809326,-61.58333206176758,318,-4,"U","America/Caracas","airport","OurAirports" 2838,"Elorza Airport","Elorza","Venezuela","EOZ","SVEZ",7.0833330154418945,-69.53333282470703,295,-4,"U","America/Caracas","airport","OurAirports" 2839,"Guasdalito Airport","Guasdualito","Venezuela","GDO","SVGD",7.233333110809326,-70.80000305175781,426,-4,"U","America/Caracas","airport","OurAirports" 2840,"Guiria Airport","Guiria","Venezuela","GUI","SVGI",10.574077606200001,-62.3126678467,42,-4,"U","America/Caracas","airport","OurAirports" 2841,"Guanare Airport","Guanare","Venezuela","GUQ","SVGU",9.026944160461426,-69.7551498413086,606,-4,"U","America/Caracas","airport","OurAirports" 2842,"Higuerote Airport","Higuerote","Venezuela","HGE","SVHG",10.462474,-66.092779,12,-4,"U","America/Caracas","airport","OurAirports" 2843,"Andrés Miguel Salazar Marcano Airport","Isla De Coche","Venezuela","ICC","SVIE",10.794432,-63.98159,10,-4,"U","America/Caracas","airport","OurAirports" 2844,"Josefa Camejo International Airport","Paraguana","Venezuela","LSP","SVJC",11.78077507019043,-70.15149688720703,75,-4,"U","America/Caracas","airport","OurAirports" 2845,"San Juan de Los Morros Airport","San Juan De Los Morros","Venezuela",\N,"SVJM",9.906952857971191,-67.379638671875,1404,-4,"U","America/Caracas","airport","OurAirports" 2846,"La Fria Airport","La Fria","Venezuela","LFR","SVLF",8.239167213439941,-72.27102661132812,305,-4,"U","America/Caracas","airport","OurAirports" 2847,"La Orchila Airport","La Orchila","Venezuela",\N,"SVLO",11.80720043182373,-66.17960357666016,5,-4,"U","America/Caracas","airport","OurAirports" 2848,"La Chinita International Airport","Maracaibo","Venezuela","MAR","SVMC",10.5582084656,-71.7278594971,239,-4,"U","America/Caracas","airport","OurAirports" 2849,"Alberto Carnevalli Airport","Merida","Venezuela","MRD","SVMD",8.582078,-71.161041,5007,-4,"U","America/Caracas","airport","OurAirports" 2850,"Del Caribe Santiago Mariño International Airport","Porlamar","Venezuela","PMV","SVMG",10.912603378295898,-63.96659851074219,74,-4,"U","America/Caracas","airport","OurAirports" 2851,"Simón Bolívar International Airport","Caracas","Venezuela","CCS","SVMI",10.601194,-66.991222,234,-4,"U","America/Caracas","airport","OurAirports" 2852,"Maturín Airport","Maturin","Venezuela","MUN","SVMT",9.75452995300293,-63.14739990234375,224,-4,"U","America/Caracas","airport","OurAirports" 2853,"Cacique Aramare Airport","Puerto Ayacucho","Venezuela","PYH","SVPA",5.6199898719788,-67.606101989746,245,-4,"U","America/Caracas","airport","OurAirports" 2854,"General Bartolome Salom International Airport","Puerto Cabello","Venezuela","PBL","SVPC",10.480500221252441,-68.072998046875,32,-4,"U","America/Caracas","airport","OurAirports" 2855,"Paramillo Airport","San Cristobal","Venezuela","SCI","SVPM",7.8013200759887695,-72.2029037475586,3314,-4,"U","America/Caracas","airport","OurAirports" 2856,"General Manuel Carlos Piar International Airport","Guayana","Venezuela","PZO","SVPR",8.288530349731445,-62.760398864746094,472,-4,"U","America/Caracas","airport","OurAirports" 2857,"Palmarito Airport","Palmarito","Venezuela","PTM","SVPT",7.566669940948486,-70.18329620361328,347,-4,"U","America/Caracas","airport","OurAirports" 2858,"San Antonio Del Tachira Airport","San Antonio","Venezuela","SVZ","SVSA",7.840829849243164,-72.439697265625,1312,-4,"U","America/Caracas","airport","OurAirports" 2859,"Santa Bárbara de Barinas Airport","Santa Barbara","Venezuela","SBB","SVSB",7.803514003753662,-71.16571807861328,590,-4,"U","America/Caracas","airport","OurAirports" 2860,"Santa Elena de Uairen Airport","Santa Ana De Uairen","Venezuela","SNV","SVSE",4.554999828338623,-61.150001525878906,2938,-4,"U","America/Caracas","airport","OurAirports" 2861,"Mayor Buenaventura Vivas International Airport","Santo Domingo","Venezuela","STD","SVSO",7.56538,-72.035103,1083,-4,"U","America/Caracas","airport","OurAirports" 2862,"Sub Teniente Nestor Arias Airport","San Felipe","Venezuela","SNF","SVSP",10.2787,-68.755203,761,-4,"U","America/Caracas","airport","OurAirports" 2863,"San Fernando De Apure Airport","San Fernando De Apure","Venezuela","SFD","SVSR",7.883319854736328,-67.44400024414062,154,-4,"U","America/Caracas","airport","OurAirports" 2864,"San Tomé Airport","San Tome","Venezuela","SOM","SVST",8.9451465606689,-64.151084899902,861,-4,"U","America/Caracas","airport","OurAirports" 2865,"Santa Bárbara del Zulia Airport","Santa Barbara","Venezuela","STB","SVSZ",8.974550247192383,-71.94325256347656,32,-4,"U","America/Caracas","airport","OurAirports" 2866,"Tucupita Airport","Tucupita","Venezuela","TUV","SVTC",9.088994026184082,-62.094173431396484,16,-4,"U","America/Caracas","airport","OurAirports" 2867,"Tumeremo Airport","Tumeremo","Venezuela","TMO","SVTM",7.24938,-61.52893,345,-4,"U","America/Caracas","airport","OurAirports" 2868,"Arturo Michelena International Airport","Valencia","Venezuela","VLN","SVVA",10.14973258972168,-67.92839813232422,1411,-4,"U","America/Caracas","airport","OurAirports" 2870,"Dr. Antonio Nicolás Briceño Airport","Valera","Venezuela","VLV","SVVL",9.34047794342041,-70.58406066894531,2060,-4,"U","America/Caracas","airport","OurAirports" 2871,"Valle de La Pascua Airport","Valle De La Pascua","Venezuela","VDP","SVVP",9.22202777863,-65.9935836792,410,-4,"U","America/Caracas","airport","OurAirports" 2872,"Linden Airport","Linden","Guyana",\N,"SYLD",5.96592,-58.270302,180,-4,"U","America/Guyana","airport","OurAirports" 2873,"Lethem Airport","Lethem","Guyana","LTM","SYLT",3.37276,-59.789398,351,-4,"U","America/Guyana","airport","OurAirports" 2874,"V.C. Bird International Airport","Antigua","Antigua and Barbuda","ANU","TAPA",17.1367,-61.792702,62,-4,"U","America/Antigua","airport","OurAirports" 2875,"Sir Grantley Adams International Airport","Bridgetown","Barbados","BGI","TBPB",13.0746002197,-59.4925003052,169,-4,"U","America/Barbados","airport","OurAirports" 2876,"Canefield Airport","Canefield","Dominica","DCF","TDCF",15.336700439453125,-61.3922004699707,13,-4,"U","America/Dominica","airport","OurAirports" 2877,"Douglas-Charles Airport","Dominica","Dominica","DOM","TDPD",15.547,-61.299999,73,-4,"U","America/Dominica","airport","OurAirports" 2878,"Martinique Aimé Césaire International Airport","Fort-de-france","Martinique","FDF","TFFF",14.590999603271484,-61.00320053100586,16,-4,"U","America/Martinique","airport","OurAirports" 2879,"L'Espérance Airport","St. Martin","Guadeloupe","SFG","TFFG",18.099899291992,-63.047199249268,7,-4,"U",\N,"airport","OurAirports" 2881,"Pointe-à-Pitre Le Raizet","Pointe-a-pitre","Guadeloupe","PTP","TFFR",16.265301,-61.531799,36,-4,"U","America/Guadeloupe","airport","OurAirports" 2882,"Point Salines International Airport","Point Salines","Grenada","GND","TGPY",12.004199981689453,-61.78620147705078,41,-4,"U","America/Grenada","airport","OurAirports" 2883,"Cyril E. King Airport","St. Thomas","Virgin Islands","STT","TIST",18.337299346923828,-64.97339630126953,23,-4,"U","America/St_Thomas","airport","OurAirports" 2884,"Henry E Rohlsen Airport","St. Croix Island","Virgin Islands","STX","TISX",17.701900482177734,-64.79859924316406,74,-4,"U","America/St_Thomas","airport","OurAirports" 2885,"Rafael Hernandez Airport","Aguadilla","Puerto Rico","BQN","TJBQ",18.49489974975586,-67.12940216064453,237,-4,"U","America/Puerto_Rico","airport","OurAirports" 2886,"Diego Jimenez Torres Airport","Fajardo","Puerto Rico","FAJ","TJFA",18.308900833129883,-65.66190338134766,64,-4,"U","America/Puerto_Rico","airport","OurAirports" 2887,"Fernando Luis Ribas Dominicci Airport","San Juan","Puerto Rico","SIG","TJIG",18.45680046081543,-66.09809875488281,10,-4,"U","America/Puerto_Rico","airport","OurAirports" 2888,"Eugenio Maria De Hostos Airport","Mayaguez","Puerto Rico","MAZ","TJMZ",18.255699157714844,-67.14849853515625,28,-4,"U","America/Puerto_Rico","airport","OurAirports" 2889,"Mercedita Airport","Ponce","Puerto Rico","PSE","TJPS",18.00830078125,-66.56300354003906,29,-4,"U","America/Puerto_Rico","airport","OurAirports" 2890,"Luis Munoz Marin International Airport","San Juan","Puerto Rico","SJU","TJSJ",18.4393997192,-66.0018005371,9,-4,"U","America/Puerto_Rico","airport","OurAirports" 2891,"Robert L. Bradshaw International Airport","Basse Terre","Saint Kitts and Nevis","SKB","TKPK",17.311199188232422,-62.71870040893555,170,-4,"U","America/St_Kitts","airport","OurAirports" 2893,"George F. L. Charles Airport","Castries","Saint Lucia","SLU","TLPC",14.0202,-60.992901,22,-4,"U","America/St_Lucia","airport","OurAirports" 2894,"Hewanorra International Airport","Hewandorra","Saint Lucia","UVF","TLPL",13.7332,-60.952599,14,-4,"U","America/St_Lucia","airport","OurAirports" 2895,"Queen Beatrix International Airport","Oranjestad","Aruba","AUA","TNCA",12.5014,-70.015198,60,-4,"U","America/Aruba","airport","OurAirports" 2896,"Flamingo International Airport","Kralendijk","Netherlands Antilles","BON","TNCB",12.130999565124512,-68.26850128173828,20,-4,"U","America/Curacao","airport","OurAirports" 2897,"Hato International Airport","Willemstad","Netherlands Antilles","CUR","TNCC",12.1889,-68.959801,29,-4,"U","America/Curacao","airport","OurAirports" 2898,"F. D. Roosevelt Airport","Oranjestad","Netherlands Antilles","EUX","TNCE",17.49650001525879,-62.979400634765625,129,-4,"U","America/Curacao","airport","OurAirports" 2899,"Princess Juliana International Airport","Philipsburg","Netherlands Antilles","SXM","TNCM",18.041000366200002,-63.1088981628,13,-4,"U","America/Curacao","airport","OurAirports" 2900,"Clayton J Lloyd International Airport","The Valley","Anguilla","AXA","TQPF",18.2048,-63.055099,127,-4,"U","America/Anguilla","airport","OurAirports" 2901,"Tobago-Crown Point Airport","Scarborough","Trinidad and Tobago","TAB","TTCP",11.149700164794922,-60.83219909667969,38,-4,"U","America/Port_of_Spain","airport","OurAirports" 2902,"Piarco International Airport","Port-of-spain","Trinidad and Tobago","POS","TTPP",10.595399856567383,-61.33720016479492,58,-4,"U","America/Port_of_Spain","airport","OurAirports" 2903,"Terrance B. Lettsome International Airport","Tortola","British Virgin Islands","EIS","TUPJ",18.444799423217773,-64.54299926757812,15,-4,"U","America/Tortola","airport","OurAirports" 2905,"Canouan Airport","Canouan Island","Saint Vincent and the Grenadines","CIW","TVSC",12.699,-61.3424,11,-4,"U","America/St_Vincent","airport","OurAirports" 2906,"Mustique Airport","Mustique","Saint Vincent and the Grenadines","MQS","TVSM",12.887900352478027,-61.180198669433594,8,-4,"U","America/St_Vincent","airport","OurAirports" 2907,"Argyle International Airport","Kingstown","Saint Vincent and the Grenadines","SVD","TVSA",13.156695,-61.149945,136,-4,"U","America/St_Vincent","airport","OurAirports" 2908,"Almaty Airport","Alma-ata","Kazakhstan","ALA","UAAA",43.35210037231445,77.04049682617188,2234,6,"U","Asia/Qyzylorda","airport","OurAirports" 2909,"Balkhash Airport","Balkhash","Kazakhstan","BXH","UAAH",46.8932991027832,75.00499725341797,1446,6,"U","Asia/Qyzylorda","airport","OurAirports" 2910,"Astana International Airport","Tselinograd","Kazakhstan","TSE","UACC",51.02220153808594,71.46690368652344,1165,6,"U","Asia/Qyzylorda","airport","OurAirports" 2911,"Taraz Airport","Dzhambul","Kazakhstan","DMB","UADD",42.853599548339844,71.30359649658203,2184,6,"U","Asia/Qyzylorda","airport","OurAirports" 2912,"Manas International Airport","Bishkek","Kyrgyzstan","FRU","UAFM",43.0612983704,74.4776000977,2058,6,"U","Asia/Bishkek","airport","OurAirports" 2913,"Osh Airport","Osh","Kyrgyzstan","OSS","UAFO",40.6090011597,72.793296814,2927,6,"U","Asia/Bishkek","airport","OurAirports" 2914,"Shymkent Airport","Chimkent","Kazakhstan","CIT","UAII",42.364200592041016,69.47889709472656,1385,6,"U","Asia/Qyzylorda","airport","OurAirports" 2916,"Uralsk Airport","Uralsk","Kazakhstan","URA","UARR",51.15079879760742,51.54309844970703,125,5,"U","Asia/Oral","airport","OurAirports" 2917,"Pavlodar Airport","Pavlodar","Kazakhstan","PWQ","UASP",52.19499969482422,77.07389831542969,410,6,"U","Asia/Qyzylorda","airport","OurAirports" 2918,"Semipalatinsk Airport","Semiplatinsk","Kazakhstan","PLX","UASS",50.351295,80.234398,761,6,"U","Asia/Qyzylorda","airport","OurAirports" 2920,"Aktobe Airport","Aktyubinsk","Kazakhstan","AKX","UATT",50.2458,57.206699,738,5,"U","Asia/Oral","airport","OurAirports" 2922,"Heydar Aliyev International Airport","Baku","Azerbaijan","GYD","UBBB",40.467498779296875,50.04669952392578,10,4,"E","Asia/Baku","airport","OurAirports" 2923,"Yakutsk Airport","Yakutsk","Russia","YKS","UEEE",62.093299865722656,129.77099609375,325,9,"N","Asia/Yakutsk","airport","OurAirports" 2925,"Mirny Airport","Mirnyj","Russia","MJZ","UERR",62.534698486328125,114.03900146484375,1156,9,"N","Asia/Yakutsk","airport","OurAirports" 2926,"Ignatyevo Airport","Blagoveschensk","Russia","BQS","UHBB",50.42539978027344,127.41200256347656,638,9,"N","Asia/Yakutsk","airport","OurAirports" 2927,"Khabarovsk-Novy Airport","Khabarovsk","Russia","KHV","UHHH",48.52799987793,135.18800354004,244,10,"N","Asia/Vladivostok","airport","OurAirports" 2929,"Provideniya Bay Airport","Provideniya Bay","Russia","PVS","UHMD",64.37809753417969,-173.2429962158203,72,12,"N","Asia/Anadyr","airport","OurAirports" 2930,"Sokol Airport","Magadan","Russia","GDX","UHMM",59.9109992980957,150.72000122070312,574,11,"N","Asia/Srednekolymsk","airport","OurAirports" 2931,"Pevek Airport","Pevek","Russia","PWE","UHMP",69.783302307129,170.59700012207,11,12,"N",\N,"airport","OurAirports" 2932,"Yelizovo Airport","Petropavlovsk","Russia","PKC","UHPP",53.16790008544922,158.45399475097656,131,12,"N","Asia/Anadyr","airport","OurAirports" 2933,"Yuzhno-Sakhalinsk Airport","Yuzhno-sakhalinsk","Russia","UUS","UHSS",46.88869857788086,142.71800231933594,59,11,"N","Asia/Srednekolymsk","airport","OurAirports" 2934,"Vladivostok International Airport","Vladivostok","Russia","VVO","UHWW",43.39899826049805,132.1479949951172,46,10,"N","Asia/Vladivostok","airport","OurAirports" 2935,"Chita-Kadala Airport","Chita","Russia","HTA","UIAA",52.026299,113.306,2272,9,"N","Asia/Yakutsk","airport","OurAirports" 2936,"Bratsk Airport","Bratsk","Russia","BTK","UIBB",56.370601654052734,101.697998046875,1610,8,"N","Asia/Irkutsk","airport","OurAirports" 2937,"Irkutsk Airport","Irkutsk","Russia","IKT","UIII",52.268001556396,104.38899993896,1675,8,"N","Asia/Irkutsk","airport","OurAirports" 2938,"Ulan-Ude Airport (Mukhino)","Ulan-ude","Russia","UUD","UIUU",51.80780029296875,107.43800354003906,1690,8,"N","Asia/Irkutsk","airport","OurAirports" 2939,"Boryspil International Airport","Kiev","Ukraine","KBP","UKBB",50.345001220703125,30.894699096679688,427,2,"E","Europe/Kiev","airport","OurAirports" 2940,"Donetsk International Airport","Donetsk","Ukraine","DOK","UKCC",48.07360076904297,37.73970031738281,791,2,"E","Europe/Kiev","airport","OurAirports" 2941,"Dnipropetrovsk International Airport","Dnepropetrovsk","Ukraine","DNK","UKDD",48.357200622558594,35.10060119628906,481,2,"E","Europe/Kiev","airport","OurAirports" 2942,"Simferopol International Airport","Simferopol","Ukraine","SIP","UKFF",45.05220031738281,33.975101470947266,639,3,"E","Europe/Simferopol","airport","OurAirports" 2944,"Kiev Zhuliany International Airport","Kiev","Ukraine","IEV","UKKK",50.40194,30.45194,587,2,"E","Europe/Kiev","airport","OurAirports" 2945,"Lviv International Airport","Lvov","Ukraine","LWO","UKLL",49.8125,23.956100463867188,1071,2,"E","Europe/Kiev","airport","OurAirports" 2947,"Odessa International Airport","Odessa","Ukraine","ODS","UKOO",46.42679977416992,30.67650032043457,172,2,"E","Europe/Kiev","airport","OurAirports" 2948,"Pulkovo Airport","St. Petersburg","Russia","LED","ULLI",59.80030059814453,30.262500762939453,78,3,"N","Europe/Moscow","airport","OurAirports" 2949,"Murmansk Airport","Murmansk","Russia","MMK","ULMM",68.78170013427734,32.75080108642578,266,3,"N","Europe/Moscow","airport","OurAirports" 2950,"Gomel Airport","Gomel","Belarus","GME","UMGG",52.527000427246094,31.016700744628906,472,3,"E","Europe/Minsk","airport","OurAirports" 2951,"Vitebsk Vostochny Airport","Vitebsk","Belarus","VTB","UMII",55.126499176025,30.349599838257,682,3,"E","Europe/Minsk","airport","OurAirports" 2952,"Khrabrovo Airport","Kaliningrad","Russia","KGD","UMKK",54.88999938964844,20.592599868774414,42,2,"N","Europe/Kaliningrad","airport","OurAirports" 2953,"Minsk 1 Airport","Minsk","Belarus","MHP","UMMM",53.864498138427734,27.53969955444336,748,3,"E","Europe/Minsk","airport","OurAirports" 2954,"Minsk National Airport","Minsk 2","Belarus","MSQ","UMMS",53.882499694824,28.030700683594,670,3,"E","Europe/Minsk","airport","OurAirports" 2955,"Abakan Airport","Abakan","Russia","ABA","UNAA",53.7400016784668,91.38500213623047,831,7,"N","Asia/Krasnoyarsk","airport","OurAirports" 2956,"Barnaul Airport","Barnaul","Russia","BAX","UNBB",53.363800048828125,83.53849792480469,837,7,"N","Asia/Krasnoyarsk","airport","OurAirports" 2957,"Kemerovo Airport","Kemorovo","Russia","KEJ","UNEE",55.27009963989258,86.1072006225586,863,7,"N","Asia/Krasnoyarsk","airport","OurAirports" 2958,"Omsk Central Airport","Omsk","Russia","OMS","UNOO",54.96699905395508,73.31050109863281,311,6,"N","Asia/Omsk","airport","OurAirports" 2960,"Krasnodar Pashkovsky International Airport","Krasnodar","Russia","KRR","URKK",45.034698486328,39.170501708984,118,3,"N","Europe/Moscow","airport","OurAirports" 2961,"Uytash Airport","Makhachkala","Russia","MCX","URML",42.81679916381836,47.65230178833008,12,3,"N","Europe/Moscow","airport","OurAirports" 2962,"Mineralnyye Vody Airport","Mineralnye Vody","Russia","MRV","URMM",44.225101470947266,43.08190155029297,1054,3,"N","Europe/Moscow","airport","OurAirports" 2963,"Stavropol Shpakovskoye Airport","Stavropol","Russia","STW","URMT",45.10919952392578,42.11280059814453,1486,3,"N","Europe/Moscow","airport","OurAirports" 2964,"Platov International Airport","Rostov","Russia","ROV","URRP",47.493888,39.924722,213,3,"N","Europe/Moscow","airport","OurAirports" 2965,"Sochi International Airport","Sochi","Russia","AER","URSS",43.449902,39.9566,89,3,"N","Europe/Moscow","airport","OurAirports" 2966,"Astrakhan Airport","Astrakhan","Russia","ASF","URWA",46.2832984924,48.0063018799,-65,4,"N","Europe/Samara","airport","OurAirports" 2967,"Volgograd International Airport","Volgograd","Russia","VOG","URWW",48.782501220703125,44.34550094604492,482,3,"N","Europe/Moscow","airport","OurAirports" 2968,"Chelyabinsk Balandino Airport","Chelyabinsk","Russia","CEK","USCC",55.305801,61.5033,769,5,"N","Asia/Yekaterinburg","airport","OurAirports" 2969,"Magnitogorsk International Airport","Magnetiogorsk","Russia","MQF","USCM",53.39310073852539,58.755699157714844,1430,5,"N","Asia/Yekaterinburg","airport","OurAirports" 2972,"Nizhnevartovsk Airport","Nizhnevartovsk","Russia","NJC","USNN",60.94929885864258,76.48359680175781,177,5,"N","Asia/Yekaterinburg","airport","OurAirports" 2973,"Bolshoye Savino Airport","Perm","Russia","PEE","USPP",57.914501190186,56.021198272705,404,5,"N","Asia/Yekaterinburg","airport","OurAirports" 2974,"Surgut Airport","Surgut","Russia","SGC","USRR",61.34370040893555,73.40180206298828,200,5,"N","Asia/Yekaterinburg","airport","OurAirports" 2975,"Koltsovo Airport","Yekaterinburg","Russia","SVX","USSS",56.743099212646,60.802700042725,764,5,"N","Asia/Yekaterinburg","airport","OurAirports" 2976,"Ashgabat International Airport","Ashkhabad","Turkmenistan","ASB","UTAA",37.986801,58.361,692,5,"U","Asia/Ashgabat","airport","OurAirports" 2977,"Turkmenbashi Airport","Krasnovodsk","Turkmenistan","KRW","UTAK",40.063301,53.007198,279,5,"U","Asia/Ashgabat","airport","OurAirports" 2978,"Turkmenabat Airport","Chardzhou","Turkmenistan","CRZ","UTAV",39.08330154418945,63.61330032348633,630,5,"U","Asia/Ashgabat","airport","OurAirports" 2979,"Dushanbe Airport","Dushanbe","Tajikistan","DYU","UTDD",38.543300628699996,68.8249969482,2575,5,"U","Asia/Dushanbe","airport","OurAirports" 2980,"Bukhara Airport","Bukhara","Uzbekistan","BHK","UTSB",39.775001525878906,64.4832992553711,751,5,"U","Asia/Samarkand","airport","OurAirports" 2981,"Samarkand Airport","Samarkand","Uzbekistan","SKD","UTSS",39.70050048828125,66.98380279541016,2224,5,"U","Asia/Samarkand","airport","OurAirports" 2983,"Tashkent International Airport","Tashkent","Uzbekistan","TAS","UTTT",41.257900238,69.2811965942,1417,5,"U","Asia/Samarkand","airport","OurAirports" 2984,"Bryansk Airport","Bryansk","Russia","BZK","UUBP",53.214199,34.176399,663,3,"N","Europe/Moscow","airport","OurAirports" 2985,"Sheremetyevo International Airport","Moscow","Russia","SVO","UUEE",55.972599,37.4146,622,3,"N","Europe/Moscow","airport","OurAirports" 2986,"Migalovo Air Base","Tver","Russia","KLD","UUEM",56.82469940185547,35.7577018737793,469,3,"N","Europe/Moscow","airport","OurAirports" 2987,"Voronezh International Airport","Voronezh","Russia","VOZ","UUOO",51.81420135498047,39.22959899902344,514,3,"N","Europe/Moscow","airport","OurAirports" 2988,"Vnukovo International Airport","Moscow","Russia","VKO","UUWW",55.5914993286,37.2615013123,685,3,"N","Europe/Moscow","airport","OurAirports" 2989,"Syktyvkar Airport","Syktyvkar","Russia","SCW","UUYY",61.64699935913086,50.84510040283203,342,3,"N","Europe/Moscow","airport","OurAirports" 2990,"Kazan International Airport","Kazan","Russia","KZN","UWKD",55.606201171875,49.278701782227,411,3,"N","Europe/Moscow","airport","OurAirports" 2991,"Orenburg Central Airport","Orenburg","Russia","REN","UWOO",51.795799255371094,55.45669937133789,387,5,"N","Asia/Yekaterinburg","airport","OurAirports" 2992,"Ufa International Airport","Ufa","Russia","UFA","UWUU",54.557498931885,55.874401092529,449,5,"N","Asia/Yekaterinburg","airport","OurAirports" 2993,"Kurumoch International Airport","Samara","Russia","KUF","UWWW",53.504901885986,50.16429901123,477,4,"N","Europe/Samara","airport","OurAirports" 2994,"Sardar Vallabhbhai Patel International Airport","Ahmedabad","India","AMD","VAAH",23.0771999359,72.63469696039999,189,5.5,"N","Asia/Calcutta","airport","OurAirports" 2995,"Akola Airport","Akola","India","AKD","VAAK",20.698999,77.058601,999,5.5,"N","Asia/Calcutta","airport","OurAirports" 2996,"Aurangabad Airport","Aurangabad","India","IXU","VAAU",19.862699508666992,75.39810180664062,1911,5.5,"N","Asia/Calcutta","airport","OurAirports" 2997,"Chhatrapati Shivaji International Airport","Mumbai","India","BOM","VABB",19.0886993408,72.8678970337,39,5.5,"N","Asia/Calcutta","airport","OurAirports" 2998,"Bilaspur Airport","Bilaspur","India","PAB","VABI",21.9884,82.111,899,5.5,"N","Asia/Calcutta","airport","OurAirports" 2999,"Bhuj Airport","Bhuj","India","BHJ","VABJ",23.2877998352,69.6701965332,268,5.5,"N","Asia/Calcutta","airport","OurAirports" 3000,"Belgaum Airport","Belgaum","India","IXG","VABM",15.859299659700001,74.6183013916,2487,5.5,"N","Asia/Calcutta","airport","OurAirports" 3001,"Vadodara Airport","Baroda","India","BDQ","VABO",22.336201,73.226303,129,5.5,"N","Asia/Calcutta","airport","OurAirports" 3002,"Raja Bhoj International Airport","Bhopal","India","BHO","VABP",23.2875003815,77.3374023438,1711,5.5,"N","Asia/Calcutta","airport","OurAirports" 3003,"Bhavnagar Airport","Bhaunagar","India","BHU","VABV",21.752199173,72.1852035522,44,5.5,"N","Asia/Calcutta","airport","OurAirports" 3004,"Daman Airport","Daman","India","NMB","VADN",20.43440055847168,72.84320068359375,33,5.5,"N","Asia/Calcutta","airport","OurAirports" 3005,"Deesa Airport","Deesa","India",\N,"VADS",24.267900466918945,72.20439910888672,485,5.5,"N","Asia/Calcutta","airport","OurAirports" 3006,"Guna Airport","Guna","India","GUX","VAGN",24.654699,77.347298,1600,5.5,"N","Asia/Calcutta","airport","OurAirports" 3007,"Dabolim Airport","Goa","India","GOI","VAGO",15.3808002472,73.8313980103,150,5.5,"N","Asia/Calcutta","airport","OurAirports" 3008,"Devi Ahilyabai Holkar Airport","Indore","India","IDR","VAID",22.7217998505,75.8011016846,1850,5.5,"N","Asia/Calcutta","airport","OurAirports" 3009,"Jabalpur Airport","Jabalpur","India","JLR","VAJB",23.177799224853516,80.052001953125,1624,5.5,"N","Asia/Calcutta","airport","OurAirports" 3010,"Jamnagar Airport","Jamnagar","India","JGA","VAJM",22.465499877929688,70.01260375976562,69,5.5,"N","Asia/Calcutta","airport","OurAirports" 3011,"Kandla Airport","Kandla","India","IXY","VAKE",23.1127,70.100304,96,5.5,"N","Asia/Calcutta","airport","OurAirports" 3012,"Khajuraho Airport","Khajuraho","India","HJR","VAKJ",24.817199707,79.91860198970001,728,5.5,"N","Asia/Calcutta","airport","OurAirports" 3013,"Kolhapur Airport","Kolhapur","India","KLH","VAKP",16.6646995544,74.2893981934,1996,5.5,"N","Asia/Calcutta","airport","OurAirports" 3014,"Keshod Airport","Keshod","India","IXK","VAKS",21.317100524902344,70.27040100097656,167,5.5,"N","Asia/Calcutta","airport","OurAirports" 3015,"Dr. Babasaheb Ambedkar International Airport","Nagpur","India","NAG","VANP",21.092199325561523,79.04720306396484,1033,5.5,"N","Asia/Calcutta","airport","OurAirports" 3016,"Nashik Airport","Nasik Road","India","ISK","VAOZ",20.119101,73.912903,1900,5.5,"N","Asia/Calcutta","airport","OurAirports" 3017,"Pune Airport","Pune","India","PNQ","VAPO",18.58209991455078,73.9197006225586,1942,5.5,"N","Asia/Calcutta","airport","OurAirports" 3018,"Porbandar Airport","Porbandar","India","PBD","VAPR",21.6487007141,69.65720367429999,23,5.5,"N","Asia/Calcutta","airport","OurAirports" 3019,"Rajkot Airport","Rajkot","India","RAJ","VARK",22.3092002869,70.77950286869999,441,5.5,"N","Asia/Calcutta","airport","OurAirports" 3020,"Raipur Airport","Raipur","India","RPR","VARP",21.180401,81.7388,1041,5.5,"N","Asia/Calcutta","airport","OurAirports" 3021,"Solapur Airport","Sholapur","India","SSE","VASL",17.6280002594,75.93479919430001,1584,5.5,"N","Asia/Calcutta","airport","OurAirports" 3022,"Surat Airport","Surat","India","STV","VASU",21.1140995026,72.7417984009,16,5.5,"N","Asia/Calcutta","airport","OurAirports" 3023,"Maharana Pratap Airport","Udaipur","India","UDR","VAUD",24.617700576799997,73.89610290530001,1684,5.5,"N","Asia/Calcutta","airport","OurAirports" 3024,"Bandaranaike International Colombo Airport","Colombo","Sri Lanka","CMB","VCBI",7.180759906768799,79.88410186767578,30,5.5,"U","Asia/Colombo","airport","OurAirports" 3025,"Anuradhapura Air Force Base","Anuradhapura","Sri Lanka","ACJ","VCCA",8.30148983002,80.42790222170001,324,5.5,"U","Asia/Colombo","airport","OurAirports" 3026,"Batticaloa Airport","Batticaloa","Sri Lanka","BTC","VCCB",7.70576,81.678802,20,5.5,"U","Asia/Colombo","airport","OurAirports" 3027,"Colombo Ratmalana Airport","Colombo","Sri Lanka","RML","VCCC",6.821990013122559,79.88619995117188,22,5.5,"U","Asia/Colombo","airport","OurAirports" 3028,"Ampara Airport","Galoya","Sri Lanka","ADP","VCCG",7.33776,81.62594,150,5.5,"U","Asia/Colombo","airport","OurAirports" 3029,"Kankesanturai Airport","Jaffna","Sri Lanka","JAF","VCCJ",9.792329788208008,80.07009887695312,33,5.5,"U","Asia/Colombo","airport","OurAirports" 3030,"China Bay Airport","Trinciomalee","Sri Lanka","TRR","VCCT",8.5385103225708,81.18190002441406,6,5.5,"U","Asia/Colombo","airport","OurAirports" 3033,"Kampong Chhnang Airport","Kompong Chnang","Cambodia","KZC","VDKH",12.255200386,104.564002991,56,7,"U","Asia/Phnom_Penh","airport","OurAirports" 3034,"Phnom Penh International Airport","Phnom-penh","Cambodia","PNH","VDPP",11.546600341796875,104.84400177001953,40,7,"U","Asia/Phnom_Penh","airport","OurAirports" 3035,"Siem Reap International Airport","Siem-reap","Cambodia","REP","VDSR",13.410699844400002,103.81300354,60,7,"U","Asia/Phnom_Penh","airport","OurAirports" 3036,"Stung Treng Airport","Stung Treng","Cambodia","TNX","VDST",13.531900405883789,106.01499938964844,203,7,"U","Asia/Phnom_Penh","airport","OurAirports" 3037,"Along Airport","Along","India","IXV","VEAN",28.17530059814453,94.802001953125,900,5.5,"N","Asia/Calcutta","airport","OurAirports" 3038,"Agartala Airport","Agartala","India","IXA","VEAT",23.8869991302,91.24040222170001,46,5.5,"N","Asia/Calcutta","airport","OurAirports" 3039,"Lengpui Airport","Aizwal","India","AJL","VELP",23.840599060099997,92.6196975708,1398,5.5,"N","Asia/Calcutta","airport","OurAirports" 3040,"Bagdogra Airport","Baghdogra","India","IXB","VEBD",26.68120002746582,88.32859802246094,412,5.5,"N","Asia/Calcutta","airport","OurAirports" 3041,"Bokaro Airport","Bokaro","India",\N,"VEBK",23.64349937438965,86.1489028930664,715,5.5,"N","Asia/Calcutta","airport","OurAirports" 3042,"Biju Patnaik Airport","Bhubaneswar","India","BBI","VEBS",20.244400024399997,85.8178024292,138,5.5,"N","Asia/Calcutta","airport","OurAirports" 3043,"Netaji Subhash Chandra Bose International Airport","Kolkata","India","CCU","VECC",22.654699325561523,88.44670104980469,16,5.5,"N","Asia/Calcutta","airport","OurAirports" 3044,"Cooch Behar Airport","Cooch-behar","India","COH","VECO",26.330499649,89.4672012329,138,5.5,"N","Asia/Calcutta","airport","OurAirports" 3045,"Dhanbad Airport","Dhanbad","India","DBD","VEDB",23.833999633789062,86.42530059814453,847,5.5,"N","Asia/Calcutta","airport","OurAirports" 3048,"Gaya Airport","Gaya","India","GAY","VEGY",24.744300842285156,84.95120239257812,380,5.5,"N","Asia/Calcutta","airport","OurAirports" 3049,"Hirakud Airport","Hirakud","India",\N,"VEHK",21.5802001953125,84.00569915771484,658,5.5,"N","Asia/Calcutta","airport","OurAirports" 3050,"Imphal Airport","Imphal","India","IMF","VEIM",24.7600002289,93.896697998,2540,5.5,"N","Asia/Calcutta","airport","OurAirports" 3051,"Jharsuguda Airport","Jharsuguda","India",\N,"VEJH",21.91349983215332,84.05039978027344,751,5.5,"N","Asia/Calcutta","airport","OurAirports" 3052,"Sonari Airport","Jamshedpur","India","IXW","VEJS",22.8132,86.1688,475,5.5,"N","Asia/Calcutta","airport","OurAirports" 3053,"Jorhat Airport","Jorhat","India","JRH","VEJT",26.7315006256,94.1754989624,311,5.5,"N","Asia/Calcutta","airport","OurAirports" 3054,"Kailashahar Airport","Kailashahar","India","IXH","VEKR",24.30820083618164,92.0072021484375,79,5.5,"N","Asia/Calcutta","airport","OurAirports" 3055,"Silchar Airport","Silchar","India","IXS","VEKU",24.9129009247,92.97869873050001,352,5.5,"N","Asia/Calcutta","airport","OurAirports" 3056,"North Lakhimpur Airport","Lilabari","India","IXI","VELR",27.295499801635742,94.09760284423828,330,5.5,"N","Asia/Calcutta","airport","OurAirports" 3057,"Dibrugarh Airport","Mohanbari","India","DIB","VEMN",27.4839000702,95.0168991089,362,5.5,"N","Asia/Calcutta","airport","OurAirports" 3058,"Muzaffarpur Airport","Mazuffarpur","India","MZU","VEMZ",26.11910057067871,85.3136978149414,174,5.5,"N","Asia/Calcutta","airport","OurAirports" 3059,"Nawapara Airport","Nawapara","India",\N,"VENP",20.8700008392334,82.51959991455078,1058,5.5,"N","Asia/Calcutta","airport","OurAirports" 3060,"Panagarh Air Force Station","Panagarh","India",\N,"VEPH",23.474300384499998,87.4274978638,240,5.5,"N","Asia/Calcutta","airport","OurAirports" 3061,"Lok Nayak Jayaprakash Airport","Patina","India","PAT","VEPT",25.591299057,85.0879974365,170,5.5,"N","Asia/Calcutta","airport","OurAirports" 3062,"Purnea Airport","Purnea","India",\N,"VEPU",25.759599685668945,87.41000366210938,129,5.5,"N","Asia/Calcutta","airport","OurAirports" 3063,"Birsa Munda Airport","Ranchi","India","IXR","VERC",23.314300537100003,85.3217010498,2148,5.5,"N","Asia/Calcutta","airport","OurAirports" 3064,"Rourkela Airport","Rourkela","India","RRK","VERK",22.256701,84.814598,659,5.5,"N","Asia/Calcutta","airport","OurAirports" 3065,"Utkela Airport","Utkela","India",\N,"VEUK",20.097400665283203,83.18379974365234,680,5.5,"N","Asia/Calcutta","airport","OurAirports" 3066,"Vishakhapatnam Airport","Vishakhapatnam","India","VTZ","VEVZ",17.721200943,83.2245025635,15,5.5,"N","Asia/Calcutta","airport","OurAirports" 3067,"Ziro Airport","Zero","India","ZER","VEZO",27.588301,93.828102,5403,5.5,"N","Asia/Calcutta","airport","OurAirports" 3068,"Cox's Bazar Airport","Cox's Bazar","Bangladesh","CXB","VGCB",21.452199935913086,91.96389770507812,12,6,"U","Asia/Dhaka","airport","OurAirports" 3069,"Shah Amanat International Airport","Chittagong","Bangladesh","CGP","VGEG",22.24959945678711,91.81330108642578,12,6,"U","Asia/Dhaka","airport","OurAirports" 3070,"Ishurdi Airport","Ishurdi","Bangladesh","IRD","VGIS",24.15250015258789,89.04940032958984,45,6,"U","Asia/Dhaka","airport","OurAirports" 3071,"Jessore Airport","Jessore","Bangladesh","JSR","VGJR",23.183799743652344,89.16079711914062,20,6,"U","Asia/Dhaka","airport","OurAirports" 3072,"Shah Mokhdum Airport","Rajshahi","Bangladesh","RJH","VGRJ",24.43720054626465,88.61650085449219,64,6,"U","Asia/Dhaka","airport","OurAirports" 3073,"Saidpur Airport","Saidpur","Bangladesh","SPD","VGSD",25.759199142456055,88.90889739990234,125,6,"U","Asia/Dhaka","airport","OurAirports" 3074,"Osmany International Airport","Sylhet Osmani","Bangladesh","ZYL","VGSY",24.963199615478516,91.8667984008789,50,6,"U","Asia/Dhaka","airport","OurAirports" 3075,"Tejgaon Airport","Dhaka","Bangladesh",\N,"VGTJ",23.778799057006836,90.38269805908203,24,6,"U","Asia/Dhaka","airport","OurAirports" 3076,"Hazrat Shahjalal International Airport","Dhaka","Bangladesh","DAC","VGZR",23.843347,90.397783,30,6,"U","Asia/Dhaka","airport","OurAirports" 3077,"Hong Kong International Airport","Hong Kong","Hong Kong","HKG","VHHH",22.308901,113.915001,28,8,"U","Asia/Hong_Kong","airport","OurAirports" 3078,"Shek Kong Air Base","Sek Kong","Hong Kong",\N,"VHSK",22.436599731445312,114.08000183105469,50,8,"U","Asia/Hong_Kong","airport","OurAirports" 3079,"Agra Airport","Agra","India","AGR","VIAG",27.155799865722656,77.96089935302734,551,5.5,"N","Asia/Calcutta","airport","OurAirports" 3080,"Allahabad Airport","Allahabad","India","IXD","VIAL",25.440099716186523,81.73390197753906,322,5.5,"N","Asia/Calcutta","airport","OurAirports" 3081,"Sri Guru Ram Dass Jee International Airport","Amritsar","India","ATQ","VIAR",31.7096004486,74.7973022461,756,5.5,"N","Asia/Calcutta","airport","OurAirports" 3082,"Nal Airport","Bikaner","India","BKB","VIBK",28.070600509643555,73.20719909667969,750,5.5,"N","Asia/Calcutta","airport","OurAirports" 3083,"Bakshi Ka Talab Air Force Station","Bakshi Ka Talab","India",\N,"VIBL",26.988300323486328,80.89309692382812,385,5.5,"N","Asia/Calcutta","airport","OurAirports" 3084,"Lal Bahadur Shastri Airport","Varanasi","India","VNS","VIBN",25.4524002075,82.8592987061,266,5.5,"N","Asia/Calcutta","airport","OurAirports" 3085,"Kullu Manali Airport","Kulu","India","KUU","VIBR",31.876699447631836,77.15440368652344,3573,5.5,"N","Asia/Calcutta","airport","OurAirports" 3086,"Bhatinda Air Force Station","Bhatinda","India","BUP","VIBT",30.270099639892578,74.75579833984375,662,5.5,"N","Asia/Calcutta","airport","OurAirports" 3087,"Bhiwani Airport","Bhiwani","India",\N,"VIBW",28.836999893188477,76.1791000366211,720,5.5,"N","Asia/Calcutta","airport","OurAirports" 3088,"Bareilly Air Force Station","Bareilly","India","BEK","VIBY",28.4221000671,79.45079803470001,580,5.5,"N","Asia/Calcutta","airport","OurAirports" 3089,"Chandigarh Airport","Chandigarh","India","IXC","VICG",30.673500061035156,76.78849792480469,1012,5.5,"N","Asia/Calcutta","airport","OurAirports" 3090,"Kanpur Airport","Kanpur","India","KNU","VICX",26.404301,80.410103,410,5.5,"N","Asia/Calcutta","airport","OurAirports" 3091,"Safdarjung Airport","Delhi","India",\N,"VIDD",28.58449935913086,77.20580291748047,705,5.5,"N","Asia/Calcutta","airport","OurAirports" 3092,"Dehradun Airport","Dehra Dun","India","DED","VIDN",30.189699,78.180298,1831,5.5,"N","Asia/Calcutta","airport","OurAirports" 3093,"Indira Gandhi International Airport","Delhi","India","DEL","VIDP",28.5665,77.103104,777,5.5,"N","Asia/Calcutta","airport","OurAirports" 3094,"Gwalior Airport","Gwalior","India","GWL","VIGR",26.29330062866211,78.22779846191406,617,5.5,"N","Asia/Calcutta","airport","OurAirports" 3095,"Hissar Airport","Hissar","India","HSS","VIHR",29.179399490356445,75.75530242919922,700,5.5,"N","Asia/Calcutta","airport","OurAirports" 3096,"Jhansi Airport","Jhansi","India",\N,"VIJN",25.491199493408203,78.55840301513672,801,5.5,"N","Asia/Calcutta","airport","OurAirports" 3097,"Jodhpur Airport","Jodhpur","India","JDH","VIJO",26.251100540161133,73.04889678955078,717,5.5,"N","Asia/Calcutta","airport","OurAirports" 3098,"Jaipur International Airport","Jaipur","India","JAI","VIJP",26.8242,75.812202,1263,5.5,"N","Asia/Calcutta","airport","OurAirports" 3099,"Jaisalmer Airport","Jaisalmer","India","JSA","VIJR",26.888700485229492,70.86499786376953,751,5.5,"N","Asia/Calcutta","airport","OurAirports" 3100,"Jammu Airport","Jammu","India","IXJ","VIJU",32.6890983582,74.8374023438,1029,5.5,"N","Asia/Calcutta","airport","OurAirports" 3101,"Kanpur Civil Airport","Kanpur","India",\N,"VIKA",26.441401,80.364899,411,5.5,"N","Asia/Calcutta","airport","OurAirports" 3102,"Kota Airport","Kota","India","KTU","VIKO",25.160200119,75.84559631350001,896,5.5,"N","Asia/Calcutta","airport","OurAirports" 3103,"Ludhiana Airport","Ludhiaha","India","LUH","VILD",30.854700088500977,75.95259857177734,834,5.5,"N","Asia/Calcutta","airport","OurAirports" 3104,"Leh Kushok Bakula Rimpochee Airport","Leh","India","IXL","VILH",34.1358985901,77.5465011597,10682,5.5,"N","Asia/Calcutta","airport","OurAirports" 3105,"Chaudhary Charan Singh International Airport","Lucknow","India","LKO","VILK",26.7605991364,80.8892974854,410,5.5,"N","Asia/Calcutta","airport","OurAirports" 3106,"Pathankot Airport","Pathankot","India","IXP","VIPK",32.233611,75.634444,1017,5.5,"N","Asia/Calcutta","airport","OurAirports" 3107,"Patiala Airport","Patiala","India",\N,"VIPL",30.314800262451172,76.364501953125,820,5.5,"N","Asia/Calcutta","airport","OurAirports" 3108,"Pantnagar Airport","Nainital","India","PGH","VIPT",29.03339958190918,79.47370147705078,769,5.5,"N","Asia/Calcutta","airport","OurAirports" 3109,"Fursatganj Airport","Raibarelli","India",\N,"VIRB",26.24850082397461,81.38050079345703,360,5.5,"N","Asia/Calcutta","airport","OurAirports" 3111,"Sarsawa Air Force Station","Saharanpur","India",\N,"VISP",29.993900299072266,77.42530059814453,891,5.5,"N","Asia/Calcutta","airport","OurAirports" 3112,"Sheikh ul Alam Airport","Srinagar","India","SXR","VISR",33.987098693847656,74.77420043945312,5429,5.5,"N","Asia/Calcutta","airport","OurAirports" 3113,"Satna Airport","Satna","India","TNI","VIST",24.5623,80.854897,1060,5.5,"N","Asia/Calcutta","airport","OurAirports" 3115,"Luang Phabang International Airport","Luang Prabang","Laos","LPQ","VLLB",19.897300720214844,102.16100311279297,955,7,"U","Asia/Vientiane","airport","OurAirports" 3116,"Pakse International Airport","Pakse","Laos","PKZ","VLPS",15.132100105285645,105.78099822998047,351,7,"U","Asia/Vientiane","airport","OurAirports" 3117,"Phonesavanh Airport","Phong Savanh","Laos",\N,"VLPV",19.45490074157715,103.21800231933594,3628,7,"U","Asia/Vientiane","airport","OurAirports" 3118,"Savannakhet Airport","Savannakhet","Laos","ZVK","VLSK",16.55660057067871,104.76000213623047,509,7,"U","Asia/Vientiane","airport","OurAirports" 3119,"Sam Neua Airport","Sam Neua","Laos","NEU","VLSN",20.418399810791016,104.06700134277344,3281,7,"U","Asia/Vientiane","airport","OurAirports" 3120,"Wattay International Airport","Vientiane","Laos","VTE","VLVT",17.988300323500003,102.56300354,564,7,"U","Asia/Vientiane","airport","OurAirports" 3121,"Macau International Airport","Macau","Macau","MFM","VMMC",22.149599,113.592003,20,8,"U","Asia/Macau","airport","OurAirports" 3122,"Gautam Buddha Airport","Bhairawa","Nepal","BWA","VNBW",27.505685,83.416293,358,5.75,"N","Asia/Katmandu","airport","OurAirports" 3124,"Janakpur Airport","Janakpur","Nepal","JKR","VNJP",26.708799362199997,85.9224014282,256,5.75,"N","Asia/Katmandu","airport","OurAirports" 3125,"Tribhuvan International Airport","Kathmandu","Nepal","KTM","VNKT",27.6966,85.3591,4390,5.75,"N","Asia/Katmandu","airport","OurAirports" 3127,"Pokhara Airport","Pokhara","Nepal","PKR","VNPK",28.200899124145508,83.98210144042969,2712,5.75,"N","Asia/Katmandu","airport","OurAirports" 3128,"Simara Airport","Simara","Nepal","SIF","VNSI",27.159500122070312,84.9801025390625,450,5.75,"N","Asia/Katmandu","airport","OurAirports" 3129,"Biratnagar Airport","Biratnagar","Nepal","BIR","VNVT",26.48150062561035,87.26399993896484,236,5.75,"N","Asia/Katmandu","airport","OurAirports" 3130,"Agatti Airport","Agatti Island","India","AGX","VOAT",10.823699951171875,72.1760025024414,14,5.5,"N","Asia/Calcutta","airport","OurAirports" 3131,"Kempegowda International Airport","Bangalore","India","BLR","VOBL",13.1979,77.706299,3000,5.5,"N","Asia/Calcutta","airport","OurAirports" 3132,"Bellary Airport","Bellary","India","BEP","VOBI",15.162799835205078,76.88279724121094,30,5.5,"N","Asia/Calcutta","airport","OurAirports" 3133,"Bidar Air Force Station","Bidar","India",\N,"VOBR",17.908100128173828,77.48709869384766,2178,5.5,"N","Asia/Calcutta","airport","OurAirports" 3134,"Vijayawada Airport","Vijayawada","India","VGA","VOBZ",16.530399322509766,80.79679870605469,82,5.5,"N","Asia/Calcutta","airport","OurAirports" 3135,"Coimbatore International Airport","Coimbatore","India","CJB","VOCB",11.029999733,77.0434036255,1324,5.5,"N","Asia/Calcutta","airport","OurAirports" 3136,"Cochin International Airport","Kochi","India","COK","VOCI",10.152,76.401901,30,5.5,"N","Asia/Calcutta","airport","OurAirports" 3137,"Calicut International Airport","Calicut","India","CCJ","VOCL",11.1367998123,75.95529937740001,342,5.5,"N","Asia/Calcutta","airport","OurAirports" 3138,"Kadapa Airport","Cuddapah","India","CDP","VOCP",14.51,78.772778,430,5.5,"N","Asia/Calcutta","airport","OurAirports" 3139,"Car Nicobar Air Force Station","Carnicobar","India","CBD","VOCX",9.152509689331055,92.8196029663086,5,5.5,"N","Asia/Calcutta","airport","OurAirports" 3140,"Dundigul Air Force Academy","Dundigul","India",\N,"VODG",17.627199173,78.4033966064,2013,5.5,"N","Asia/Calcutta","airport","OurAirports" 3141,"Begumpet Airport","Hyderabad","India","BPM","VOHY",17.4531002045,78.4675979614,1742,5.5,"N","Asia/Calcutta","airport","OurAirports" 3142,"Madurai Airport","Madurai","India","IXM","VOMD",9.83450984955,78.09339904790001,459,5.5,"N","Asia/Calcutta","airport","OurAirports" 3143,"Mangalore International Airport","Mangalore","India","IXE","VOML",12.9612998962,74.8900985718,337,5.5,"N","Asia/Calcutta","airport","OurAirports" 3144,"Chennai International Airport","Madras","India","MAA","VOMM",12.990005493164062,80.16929626464844,52,5.5,"N","Asia/Calcutta","airport","OurAirports" 3145,"Nagarjuna Sagar Airport","Nagarjunsagar","India",\N,"VONS",16.542699813842773,79.3187026977539,658,5.5,"N","Asia/Calcutta","airport","OurAirports" 3146,"Vir Savarkar International Airport","Port Blair","India","IXZ","VOPB",11.641200065612793,92.72969818115234,14,5.5,"N","Asia/Calcutta","airport","OurAirports" 3147,"Pondicherry Airport","Pendicherry","India","PNY","VOPC",11.968,79.812,134,5.5,"N","Asia/Calcutta","airport","OurAirports" 3148,"Rajahmundry Airport","Rajahmundry","India","RJA","VORY",17.1103992462,81.81819915770001,151,5.5,"N","Asia/Calcutta","airport","OurAirports" 3149,"Salem Airport","Salem","India","SXV","VOSM",11.78330039978,78.06559753418,1008,5.5,"N","Asia/Calcutta","airport","OurAirports" 3150,"Tanjore Air Force Base","Tanjore","India","TJV","VOTJ",10.722399711608887,79.10160064697266,253,5.5,"N","Asia/Calcutta","airport","OurAirports" 3151,"Tirupati Airport","Tirupeti","India","TIR","VOTP",13.632499694800002,79.543296814,350,5.5,"N","Asia/Calcutta","airport","OurAirports" 3152,"Tiruchirapally Civil Airport Airport","Tiruchirappalli","India","TRZ","VOTR",10.765399932861328,78.70970153808594,288,5.5,"N","Asia/Calcutta","airport","OurAirports" 3153,"Trivandrum International Airport","Trivandrum","India","TRV","VOTV",8.48211956024,76.9200973511,15,5.5,"N","Asia/Calcutta","airport","OurAirports" 3154,"Tambaram Air Force Station","Tambaram","India",\N,"VOTX",12.90719985961914,80.12190246582031,90,5.5,"N","Asia/Calcutta","airport","OurAirports" 3155,"Paro Airport","Thimphu","Bhutan","PBH","VQPR",27.403200149499998,89.42459869380001,7332,6,"N","Asia/Thimphu","airport","OurAirports" 3156,"Malé International Airport","Male","Maldives","MLE","VRMM",4.191830158233643,73.52909851074219,6,5,"U","Indian/Maldives","airport","OurAirports" 3157,"Don Mueang International Airport","Bangkok","Thailand","DMK","VTBD",13.9125995636,100.607002258,9,7,"U","Asia/Bangkok","airport","OurAirports" 3158,"Kamphaeng Saen Airport","Nakhon Pathom","Thailand","KDT","VTBK",14.1020002365,99.9171981812,30,7,"U","Asia/Bangkok","airport","OurAirports" 3159,"Khok Kathiam Airport","Lop Buri","Thailand",\N,"VTBL",14.8746004105,100.663002014,123,7,"U","Asia/Bangkok","airport","OurAirports" 3161,"U-Tapao International Airport","Pattaya","Thailand","UTP","VTBU",12.679900169372559,101.00499725341797,42,7,"U","Asia/Bangkok","airport","OurAirports" 3162,"Watthana Nakhon Airport","Prachin Buri","Thailand",\N,"VTBW",13.768799781799316,102.31500244140625,200,7,"U","Asia/Bangkok","airport","OurAirports" 3163,"Lampang Airport","Lampang","Thailand","LPT","VTCL",18.27090072631836,99.50420379638672,811,7,"U","Asia/Bangkok","airport","OurAirports" 3164,"Phrae Airport","Phrae","Thailand","PRH","VTCP",18.132200241088867,100.16500091552734,538,7,"U","Asia/Bangkok","airport","OurAirports" 3165,"Hua Hin Airport","Prachuap Khiri Khan","Thailand","HHQ","VTPH",12.6361999512,99.951499939,62,7,"U","Asia/Bangkok","airport","OurAirports" 3166,"Takhli Airport","Nakhon Sawan","Thailand","TKH","VTPI",15.277299881,100.29599762,107,7,"U","Asia/Bangkok","airport","OurAirports" 3167,"Sak Long Airport","Phetchabun","Thailand",\N,"VTPL",16.82430076599121,101.2509994506836,500,7,"U","Asia/Bangkok","airport","OurAirports" 3169,"Nakhon Sawan Airport","Nakhon Sawan","Thailand",\N,"VTPN",15.67300033569336,100.13700103759766,113,7,"U","Asia/Bangkok","airport","OurAirports" 3170,"Phitsanulok Airport","Phitsanulok","Thailand","PHS","VTPP",16.782899856567383,100.27899932861328,154,7,"U","Asia/Bangkok","airport","OurAirports" 3171,"Khunan Phumipol Airport","Tak","Thailand",\N,"VTPY",17.23419952392578,99.05789947509766,492,7,"U","Asia/Bangkok","airport","OurAirports" 3172,"Khoun Khan Airport","Satun","Thailand",\N,"VTSA",6.661399841308594,100.08000183105469,18,7,"U","Asia/Bangkok","airport","OurAirports" 3173,"Narathiwat Airport","Narathiwat","Thailand","NAW","VTSC",6.5199198722839355,101.74299621582031,16,7,"U","Asia/Bangkok","airport","OurAirports" 3174,"Krabi Airport","Krabi","Thailand","KBV","VTSG",8.09912014008,98.9861984253,82,7,"U","Asia/Bangkok","airport","OurAirports" 3175,"Songkhla Airport","Songkhla","Thailand","SGZ","VTSH",7.186560153961182,100.60800170898438,12,7,"U","Asia/Bangkok","airport","OurAirports" 3176,"Pattani Airport","Pattani","Thailand","PAN","VTSK",6.785459995269775,101.15399932861328,8,7,"U","Asia/Bangkok","airport","OurAirports" 3177,"Samui Airport","Ko Samui","Thailand","USM","VTSM",9.547789573669998,100.06199646,64,7,"U","Asia/Bangkok","airport","OurAirports" 3178,"Cha Eian Airport","Nakhon Si Thammarat","Thailand",\N,"VTSN",8.47115039825,99.9555969238,44,7,"U","Asia/Bangkok","airport","OurAirports" 3179,"Phuket International Airport","Phuket","Thailand","HKT","VTSP",8.1132,98.316902,82,7,"U","Asia/Bangkok","airport","OurAirports" 3180,"Ranong Airport","Ranong","Thailand","UNN","VTSR",9.777620315551758,98.58550262451172,57,7,"U","Asia/Bangkok","airport","OurAirports" 3181,"Hat Yai International Airport","Hat Yai","Thailand","HDY","VTSS",6.93320989609,100.392997742,90,7,"U","Asia/Bangkok","airport","OurAirports" 3182,"Trang Airport","Trang","Thailand","TST","VTST",7.508739948272705,99.6166000366211,67,7,"U","Asia/Bangkok","airport","OurAirports" 3183,"Udon Thani Airport","Udon Thani","Thailand","UTH","VTUD",17.386400222800003,102.788002014,579,7,"U","Asia/Bangkok","airport","OurAirports" 3184,"Sakon Nakhon Airport","Sakon Nakhon","Thailand","SNO","VTUI",17.195100784301758,104.11900329589844,529,7,"U","Asia/Bangkok","airport","OurAirports" 3185,"Surin Airport","Surin","Thailand","PXR","VTUJ",14.868300437927,103.49800109863,478,7,"U","Asia/Bangkok","airport","OurAirports" 3186,"Loei Airport","Loei","Thailand","LOE","VTUL",17.43910026550293,101.72200012207031,860,7,"U","Asia/Bangkok","airport","OurAirports" 3187,"Khorat Airport","Nakhon Ratchasima","Thailand",\N,"VTUN",14.9344997406,102.07900238,729,7,"U","Asia/Bangkok","airport","OurAirports" 3188,"Rob Muang Airport","Roi Et","Thailand",\N,"VTUR",16.07040023803711,103.64600372314453,459,7,"U","Asia/Bangkok","airport","OurAirports" 3196,"Da Nang International Airport","Danang","Vietnam","DAD","VVDN",16.043899536132812,108.1989974975586,33,7,"U","Asia/Saigon","airport","OurAirports" 3197,"Gia Lam Air Base","Hanoi","Vietnam",\N,"VVGL",21.04050064086914,105.88600158691406,50,7,"U","Asia/Saigon","airport","OurAirports" 3198,"Kep Air Base","Kep","Vietnam",\N,"VVKP",21.394599914599997,106.261001587,55,7,"U","Asia/Saigon","airport","OurAirports" 3199,"Noi Bai International Airport","Hanoi","Vietnam","HAN","VVNB",21.221200942993164,105.80699920654297,39,7,"U","Asia/Saigon","airport","OurAirports" 3200,"Nha Trang Air Base","Nhatrang","Vietnam","NHA","VVNT",12.2275,109.192001,20,7,"U","Asia/Saigon","airport","OurAirports" 3201,"Phu Bai Airport","Hue","Vietnam","HUI","VVPB",16.401500701899998,107.70300293,48,7,"U","Asia/Saigon","airport","OurAirports" 3204,"Phu Quoc International Airport","Phuquoc","Vietnam","PQC","VVPQ",10.1698,103.9931,37,7,"U","Asia/Saigon","airport","OurAirports" 3205,"Tan Son Nhat International Airport","Ho Chi Minh City","Vietnam","SGN","VVTS",10.8187999725,106.652000427,33,7,"U","Asia/Saigon","airport","OurAirports" 3207,"Ann Airport","Ann","Burma","VBA","VYAN",19.769199,94.0261,74,6.5,"U","Asia/Rangoon","airport","OurAirports" 3208,"Anisakan Airport","Anisakan","Burma",\N,"VYAS",21.955400466918945,96.40609741210938,3000,6.5,"U","Asia/Rangoon","airport","OurAirports" 3209,"Bagan Airport","Bagan","Burma","NYU","VYBG",21.178800582885742,94.9301986694336,312,6.5,"U","Asia/Rangoon","airport","OurAirports" 3211,"Coco Island Airport","Coco Island","Burma",\N,"VYCI",14.141500473022461,93.36849975585938,20,6,"U",\N,"airport","OurAirports" 3213,"Heho Airport","Heho","Burma","HEH","VYHH",20.746999740600586,96.79199981689453,3858,6.5,"U","Asia/Rangoon","airport","OurAirports" 3214,"Hommalinn Airport","Hommalin","Burma","HOX","VYHL",24.899599075317383,94.91400146484375,534,6.5,"U","Asia/Rangoon","airport","OurAirports" 3215,"Kengtung Airport","Kengtung","Burma","KET","VYKG",21.301599502563477,99.63600158691406,2798,6.5,"U","Asia/Rangoon","airport","OurAirports" 3217,"Kyaukpyu Airport","Kyaukpyu","Burma","KYP","VYKP",19.42639923095703,93.53479766845703,20,6.5,"U","Asia/Rangoon","airport","OurAirports" 3220,"Lashio Airport","Lashio","Burma","LSH","VYLS",22.9778995513916,97.752197265625,2450,6.5,"U","Asia/Rangoon","airport","OurAirports" 3221,"Lanywa Airport","Lanywa","Burma",\N,"VYLY",20.940399169921875,94.82260131835938,175,6.5,"U","Asia/Rangoon","airport","OurAirports" 3222,"Mandalay International Airport","Mandalay","Burma","MDL","VYMD",21.702199935913086,95.97789764404297,300,6.5,"U","Asia/Rangoon","airport","OurAirports" 3223,"Myeik Airport","Myeik","Burma","MGZ","VYME",12.439800262451172,98.62149810791016,75,6.5,"U","Asia/Rangoon","airport","OurAirports" 3224,"Myitkyina Airport","Myitkyina","Burma","MYT","VYMK",25.38360023498535,97.35189819335938,475,6.5,"U","Asia/Rangoon","airport","OurAirports" 3226,"Momeik Airport","Momeik","Burma","MOE","VYMO",23.092500686645508,96.64530181884766,600,6.5,"U","Asia/Rangoon","airport","OurAirports" 3227,"Mong Hsat Airport","Mong Hsat","Burma","MOG","VYMS",20.516799926757812,99.25679779052734,1875,6.5,"U","Asia/Rangoon","airport","OurAirports" 3228,"Nampong Air Base","Nampong","Burma",\N,"VYNP",25.354400634799998,97.2951965332,459,6.5,"U","Asia/Rangoon","airport","OurAirports" 3229,"Namsang Airport","Namsang","Burma","NMS","VYNS",20.890499114990234,97.73590087890625,3100,6.5,"U","Asia/Rangoon","airport","OurAirports" 3230,"Hpa-N Airport","Hpa-an","Burma","PAA","VYPA",16.893699645996094,97.67459869384766,150,6.5,"U","Asia/Rangoon","airport","OurAirports" 3232,"Putao Airport","Putao","Burma","PBU","VYPT",27.32990074157715,97.42630004882812,1500,6.5,"U","Asia/Rangoon","airport","OurAirports" 3233,"Pyay Airport","Pyay","Burma","PRU","VYPY",18.824499130249023,95.26599884033203,120,6.5,"U","Asia/Rangoon","airport","OurAirports" 3234,"Shante Air Base","Shante","Burma",\N,"VYST",20.941699981689453,95.91449737548828,630,6.5,"U","Asia/Rangoon","airport","OurAirports" 3235,"Sittwe Airport","Sittwe","Burma","AKY","VYSW",20.132699966430664,92.87259674072266,27,6.5,"U","Asia/Rangoon","airport","OurAirports" 3236,"Thandwe Airport","Thandwe","Burma","SNW","VYTD",18.4606990814209,94.30010223388672,20,6.5,"U","Asia/Rangoon","airport","OurAirports" 3237,"Tachileik Airport","Tachilek","Burma","THL","VYTL",20.483800888061523,99.9354019165039,1280,6.5,"U","Asia/Rangoon","airport","OurAirports" 3238,"Taungoo Airport","Taungoo","Burma",\N,"VYTO",19.031299591064453,96.40119934082031,160,6.5,"U","Asia/Rangoon","airport","OurAirports" 3239,"Yangon International Airport","Yangon","Burma","RGN","VYYY",16.907300949099998,96.1332015991,109,6.5,"U","Asia/Rangoon","airport","OurAirports" 3240,"Hasanuddin International Airport","Ujung Pandang","Indonesia","UPG","WAAA",-5.061629772186279,119.55400085449219,47,8,"N","Asia/Makassar","airport","OurAirports" 3241,"Frans Kaisiepo Airport","Biak","Indonesia","BIK","WABB",-1.190019965171814,136.10800170898438,46,9,"N","Asia/Jayapura","airport","OurAirports" 3242,"Nabire Airport","Nabire","Indonesia","NBX","WABI",-3.36818,135.496002,20,9,"N","Asia/Jayapura","airport","OurAirports" 3243,"Moses Kilangin Airport","Timika","Indonesia","TIM","WABP",-4.528279781341553,136.88699340820312,103,9,"N","Asia/Jayapura","airport","OurAirports" 3244,"Sentani International Airport","Jayapura","Indonesia","DJJ","WAJJ",-2.5769500733,140.5160064698,289,9,"N","Asia/Jayapura","airport","OurAirports" 3245,"Wamena Airport","Wamena","Indonesia","WMX","WAJW",-4.10251,138.957001,5085,9,"N","Asia/Jayapura","airport","OurAirports" 3246,"Mopah Airport","Merauke","Indonesia","MKQ","WAKK",-8.52029037475586,140.41799926757812,10,9,"N","Asia/Jayapura","airport","OurAirports" 3247,"Jalaluddin Airport","Gorontalo","Indonesia","GTO","WAMG",0.63711899519,122.849998474,105,8,"N","Asia/Makassar","airport","OurAirports" 3249,"Mutiara Airport","Palu","Indonesia","PLW","WAML",-0.9185420274734497,119.91000366210938,284,8,"N","Asia/Makassar","airport","OurAirports" 3250,"Sam Ratulangi Airport","Manado","Indonesia","MDC","WAMM",1.5492600202560425,124.9260025024414,264,8,"N","Asia/Makassar","airport","OurAirports" 3251,"Kasiguncu Airport","Poso","Indonesia","PSJ","WAMP",-1.41674995422,120.657997131,174,8,"N","Asia/Makassar","airport","OurAirports" 3252,"Pitu Airport","Morotai Island","Indonesia","OTI","WAMR",2.0459899902300003,128.324996948,49,9,"N","Asia/Jayapura","airport","OurAirports" 3253,"Sultan Khairun Babullah Airport","Ternate","Indonesia","TTE","WAMT",0.831413984298706,127.38099670410156,49,9,"N","Asia/Jayapura","airport","OurAirports" 3254,"Syukuran Aminuddin Amir Airport","Luwuk","Indonesia","LUW","WAMW",-1.03892,122.772003,56,8,"N","Asia/Makassar","airport","OurAirports" 3256,"Pattimura Airport, Ambon","Ambon","Indonesia","AMQ","WAPP",-3.7102599144,128.089004517,33,9,"N","Asia/Jayapura","airport","OurAirports" 3257,"Fakfak Airport","Fak Fak","Indonesia","FKQ","WASF",-2.9201900959014893,132.26699829101562,462,9,"N","Asia/Jayapura","airport","OurAirports" 3258,"Kaimana Airport","Kaimana","Indonesia","KNG","WASK",-3.6445200443267822,133.6959991455078,19,9,"N","Asia/Jayapura","airport","OurAirports" 3259,"Babo Airport","Babo","Indonesia","BXB","WASO",-2.5322399139404297,133.43899536132812,10,9,"N","Asia/Jayapura","airport","OurAirports" 3260,"Rendani Airport","Manokwari","Indonesia","MKW","WASR",-0.8918330073356628,134.0489959716797,23,9,"N","Asia/Jayapura","airport","OurAirports" 3261,"Dominique Edward Osok Airport","Sorong","Indonesia","SOQ","WAXX",-0.894,131.287,10,9,"N","Asia/Jayapura","airport","OurAirports" 3262,"Bintulu Airport","Bintulu","Malaysia","BTU","WBGB",3.12385010719,113.019996643,74,8,"N","Asia/Kuala_Lumpur","airport","OurAirports" 3263,"Kuching International Airport","Kuching","Malaysia","KCH","WBGG",1.4846999645233154,110.34700012207031,89,8,"N","Asia/Kuala_Lumpur","airport","OurAirports" 3264,"Limbang Airport","Limbang","Malaysia","LMN","WBGJ",4.808300018310547,115.01000213623047,14,8,"N","Asia/Kuala_Lumpur","airport","OurAirports" 3265,"Marudi Airport","Marudi","Malaysia","MUR","WBGM",4.178979873657227,114.3290023803711,103,8,"N","Asia/Kuala_Lumpur","airport","OurAirports" 3266,"Miri Airport","Miri","Malaysia","MYY","WBGR",4.322010040283203,113.98699951171875,59,8,"N","Asia/Kuala_Lumpur","airport","OurAirports" 3267,"Sibu Airport","Sibu","Malaysia","SBW","WBGS",2.2616000175476074,111.98500061035156,122,8,"N","Asia/Kuala_Lumpur","airport","OurAirports" 3268,"Lahad Datu Airport","Lahad Datu","Malaysia","LDU","WBKD",5.032249927520752,118.3239974975586,45,8,"N","Asia/Kuala_Lumpur","airport","OurAirports" 3269,"Kota Kinabalu International Airport","Kota Kinabalu","Malaysia","BKI","WBKK",5.9372100830078125,116.0510025024414,10,8,"N","Asia/Kuala_Lumpur","airport","OurAirports" 3270,"Labuan Airport","Labuan","Malaysia","LBU","WBKL",5.300680160522461,115.25,101,8,"N","Asia/Kuala_Lumpur","airport","OurAirports" 3271,"Tawau Airport","Tawau","Malaysia","TWU","WBKW",4.320159912109375,118.12799835205078,57,8,"N","Asia/Kuala_Lumpur","airport","OurAirports" 3272,"Brunei International Airport","Bandar Seri Begawan","Brunei","BWN","WBSB",4.944200038909912,114.9280014038086,73,8,"U","Asia/Brunei","airport","OurAirports" 3273,"Sultan Syarif Kasim Ii (Simpang Tiga) Airport","Pekanbaru","Indonesia","PKU","WIBB",0.46078601479530334,101.44499969482422,102,7,"N","Asia/Jakarta","airport","OurAirports" 3274,"Pinang Kampai Airport","Dumai","Indonesia","DUM","WIBD",1.60919,101.433998,55,7,"N","Asia/Jakarta","airport","OurAirports" 3275,"Soekarno-Hatta International Airport","Jakarta","Indonesia","CGK","WIII",-6.1255698204,106.65599823,34,7,"N","Asia/Jakarta","airport","OurAirports" 3276,"Binaka Airport","Gunung Sitoli","Indonesia","GNS","WIMB",1.16638,97.704697,20,7,"N","Asia/Jakarta","airport","OurAirports" 3277,"Aek Godang Airport","Padang Sidempuan","Indonesia","AEG","WIME",1.4001,99.430496,922,7,"N","Asia/Jakarta","airport","OurAirports" 3278,"Minangkabau International Airport","Padang","Indonesia","PDG","WIPT",-0.786917,100.280998,18,7,"N","Asia/Jakarta","airport","OurAirports" 3279,"Soewondo Air Force Base","Medan","Indonesia","MES","WIMK",3.559167,98.671111,114,7,"N","Asia/Jakarta","airport","OurAirports" 3280,"Dr Ferdinand Lumban Tobing Airport","Sibolga","Indonesia","FLZ","WIMS",1.55594,98.888901,33,7,"N","Asia/Jakarta","airport","OurAirports" 3281,"Nanga Pinoh Airport","Nangapinoh","Indonesia","NPO","WIOG",-0.34886899590492,111.74800109863,123,7,"N","Asia/Jakarta","airport","OurAirports" 3282,"Ketapang(Rahadi Usman) Airport","Ketapang","Indonesia","KTG","WIOK",-1.816640019416809,109.96299743652344,46,7,"N","Asia/Jakarta","airport","OurAirports" 3284,"Supadio Airport","Pontianak","Indonesia","PNK","WIOO",-0.15071099996566772,109.40399932861328,10,7,"N","Asia/Jakarta","airport","OurAirports" 3287,"Sultan Thaha Airport","Jambi","Indonesia","DJB","WIPA",-1.6380200386047363,103.64399719238281,82,7,"N","Asia/Jakarta","airport","OurAirports" 3288,"Fatmawati Soekarno Airport","Bengkulu","Indonesia","BKS","WIPL",-3.8637,102.338997,50,7,"N","Asia/Jakarta","airport","OurAirports" 3289,"Sultan Mahmud Badaruddin II Airport","Palembang","Indonesia","PLM","WIPP",-2.8982501029968,104.69999694824,49,7,"N","Asia/Jakarta","airport","OurAirports" 3291,"Japura Airport","Rengat","Indonesia","RGT","WIPR",-0.35280799865722656,102.33499908447266,62,7,"N","Asia/Jakarta","airport","OurAirports" 3292,"Lhok Sukon Airport","Lhok Sukon","Indonesia","LSX","WITL",5.069509983062744,97.25920104980469,28,7,"N","Asia/Jakarta","airport","OurAirports" 3294,"Sultan Iskandar Muda International Airport","Banda Aceh","Indonesia","BTJ","WITT",5.522872024010001,95.42063713070002,65,7,"N","Asia/Jakarta","airport","OurAirports" 3295,"Kluang Airport","Kluang","Malaysia",\N,"WMAP",2.04138994217,103.306999207,150,8,"N","Asia/Kuala_Lumpur","airport","OurAirports" 3296,"Sultan Abdul Halim Airport","Alor Setar","Malaysia","AOR","WMKA",6.189670085906982,100.39800262451172,15,8,"N","Asia/Kuala_Lumpur","airport","OurAirports" 3297,"Butterworth Airport","Butterworth","Malaysia","BWH","WMKB",5.4659199714660645,100.39099884033203,11,8,"N","Asia/Kuala_Lumpur","airport","OurAirports" 3298,"Sultan Ismail Petra Airport","Kota Bahru","Malaysia","KBR","WMKC",6.1668500900268555,102.29299926757812,16,8,"N","Asia/Kuala_Lumpur","airport","OurAirports" 3299,"Kuantan Airport","Kuantan","Malaysia","KUA","WMKD",3.7753899097442627,103.20899963378906,58,8,"N","Asia/Kuala_Lumpur","airport","OurAirports" 3300,"Kerteh Airport","Kerteh","Malaysia","KTE","WMKE",4.537220001220703,103.427001953125,18,8,"N","Asia/Kuala_Lumpur","airport","OurAirports" 3301,"Simpang Airport","Simpang","Malaysia",\N,"WMKF",3.1122500896453857,101.7030029296875,111,8,"N","Asia/Kuala_Lumpur","airport","OurAirports" 3302,"Sultan Azlan Shah Airport","Ipoh","Malaysia","IPH","WMKI",4.567969799041748,101.09200286865234,130,8,"N","Asia/Kuala_Lumpur","airport","OurAirports" 3303,"Senai International Airport","Johor Bahru","Malaysia","JHB","WMKJ",1.64131,103.669998,135,8,"N","Asia/Kuala_Lumpur","airport","OurAirports" 3304,"Kuala Lumpur International Airport","Kuala Lumpur","Malaysia","KUL","WMKK",2.745579957962,101.70999908447,69,8,"N","Asia/Kuala_Lumpur","airport","OurAirports" 3305,"Langkawi International Airport","Langkawi","Malaysia","LGK","WMKL",6.329730033874512,99.72869873046875,29,8,"N","Asia/Kuala_Lumpur","airport","OurAirports" 3306,"Malacca Airport","Malacca","Malaysia","MKZ","WMKM",2.2633600235,102.251998901,35,8,"N","Asia/Kuala_Lumpur","airport","OurAirports" 3307,"Sultan Mahmud Airport","Kuala Terengganu","Malaysia","TGG","WMKN",5.3826398849487305,103.10299682617188,21,8,"N","Asia/Kuala_Lumpur","airport","OurAirports" 3308,"Penang International Airport","Penang","Malaysia","PEN","WMKP",5.297140121459961,100.2770004272461,11,8,"N","Asia/Kuala_Lumpur","airport","OurAirports" 3309,"Suai Airport","Suai","East Timor","UAI","WPDB",-9.30331039428711,125.28700256347656,96,9,"U","Asia/Dili","airport","OurAirports" 3310,"Presidente Nicolau Lobato International Airport","Dili","East Timor","DIL","WPDL",-8.54640007019,125.526000977,154,9,"U","Asia/Dili","airport","OurAirports" 3311,"Cakung Airport","Baucau","East Timor","BCH","WPEC",-8.489029884339999,126.401000977,1771,9,"U","Asia/Dili","airport","OurAirports" 3312,"Sembawang Air Base","Sembawang","Singapore",\N,"WSAG",1.4252599477767944,103.81300354003906,86,8,"N","Asia/Singapore","airport","OurAirports" 3313,"Paya Lebar Air Base","Paya Lebar","Singapore","QPG","WSAP",1.3604199886322021,103.91000366210938,65,8,"N","Asia/Singapore","airport","OurAirports" 3314,"Tengah Air Base","Tengah","Singapore","TGA","WSAT",1.38725996017,103.708999634,50,8,"N","Asia/Singapore","airport","OurAirports" 3315,"Seletar Airport","Singapore","Singapore","XSP","WSSL",1.416949987411499,103.86799621582031,36,8,"N","Asia/Singapore","airport","OurAirports" 3316,"Singapore Changi Airport","Singapore","Singapore","SIN","WSSS",1.35019,103.994003,22,8,"N","Asia/Singapore","airport","OurAirports" 3317,"Brisbane Archerfield Airport","Brisbane","Australia","ACF","YBAF",-27.5702991486,153.007995605,63,10,"O","Australia/Brisbane","airport","OurAirports" 3318,"Northern Peninsula Airport","Amberley","Australia","ABM","YBAM",-10.9508,142.459,34,10,"O","Australia/Brisbane","airport","OurAirports" 3319,"Alice Springs Airport","Alice Springs","Australia","ASP","YBAS",-23.806699752807617,133.90199279785156,1789,9.5,"N","Australia/Darwin","airport","OurAirports" 3320,"Brisbane International Airport","Brisbane","Australia","BNE","YBBN",-27.384199142456055,153.11700439453125,13,10,"N","Australia/Brisbane","airport","OurAirports" 3321,"Gold Coast Airport","Coolangatta","Australia","OOL","YBCG",-28.1644001007,153.505004883,21,10,"N","Australia/Brisbane","airport","OurAirports" 3322,"Cairns International Airport","Cairns","Australia","CNS","YBCS",-16.885799408,145.755004883,10,10,"N","Australia/Brisbane","airport","OurAirports" 3323,"Charleville Airport","Charlieville","Australia","CTL","YBCV",-26.4132995605,146.261993408,1003,10,"O","Australia/Brisbane","airport","OurAirports" 3324,"Mount Isa Airport","Mount Isa","Australia","ISA","YBMA",-20.663900375399997,139.488998413,1121,10,"O","Australia/Brisbane","airport","OurAirports" 3325,"Sunshine Coast Airport","Maroochydore","Australia","MCY","YBMC",-26.6033,153.091003,15,10,"O","Australia/Brisbane","airport","OurAirports" 3326,"Mackay Airport","Mackay","Australia","MKY","YBMK",-21.171699523900003,149.179992676,19,10,"O","Australia/Brisbane","airport","OurAirports" 3328,"Proserpine Whitsunday Coast Airport","Prosserpine","Australia","PPP","YBPN",-20.4950008392,148.552001953,82,10,"O","Australia/Brisbane","airport","OurAirports" 3329,"Rockhampton Airport","Rockhampton","Australia","ROK","YBRK",-23.3819007874,150.475006104,34,10,"O","Australia/Brisbane","airport","OurAirports" 3330,"Townsville Airport","Townsville","Australia","TSV","YBTL",-19.252500534057617,146.76499938964844,18,10,"N","Australia/Brisbane","airport","OurAirports" 3331,"Weipa Airport","Weipa","Australia","WEI","YBWP",-12.6786003113,141.925003052,63,10,"O","Australia/Brisbane","airport","OurAirports" 3332,"Avalon Airport","Avalon","Australia","AVV","YMAV",-38.039398,144.468994,35,10,"O","Australia/Hobart","airport","OurAirports" 3333,"Albury Airport","Albury","Australia","ABX","YMAY",-36.06779861450195,146.95799255371094,539,10,"O","Australia/Sydney","airport","OurAirports" 3334,"Melbourne Essendon Airport","Melbourne","Australia","MEB","YMEN",-37.7281,144.901993,282,10,"O","Australia/Hobart","airport","OurAirports" 3335,"RAAF Base East Sale","East Sale","Australia",\N,"YMES",-38.098899841299996,147.149002075,23,10,"O","Australia/Hobart","airport","OurAirports" 3336,"Hobart International Airport","Hobart","Australia","HBA","YMHB",-42.836101532,147.509994507,13,10,"O","Australia/Melbourne","airport","OurAirports" 3337,"Launceston Airport","Launceston","Australia","LST","YMLT",-41.54529953,147.214004517,562,10,"O","Australia/Melbourne","airport","OurAirports" 3338,"Melbourne Moorabbin Airport","Melbourne","Australia","MBW","YMMB",-37.975799560546875,145.1020050048828,50,10,"O","Australia/Hobart","airport","OurAirports" 3339,"Melbourne International Airport","Melbourne","Australia","MEL","YMML",-37.673302,144.843002,434,10,"O","Australia/Hobart","airport","OurAirports" 3340,"RAAF Williams, Point Cook Base","Point Cook","Australia",\N,"YMPC",-37.932201,144.753006,14,10,"O","Australia/Hobart","airport","OurAirports" 3341,"Adelaide International Airport","Adelaide","Australia","ADL","YPAD",-34.945,138.531006,20,9.5,"O","Australia/Adelaide","airport","OurAirports" 3343,"RAAF Base Edinburgh","Edinburgh","Australia",\N,"YPED",-34.70249938964844,138.62100219726562,67,9.5,"O","Australia/Adelaide","airport","OurAirports" 3344,"Perth Jandakot Airport","Perth","Australia","JAD","YPJT",-32.09749984741211,115.88099670410156,99,8,"O","Australia/Perth","airport","OurAirports" 3345,"Karratha Airport","Karratha","Australia","KTA","YPKA",-20.712200164799995,116.773002625,29,8,"O","Australia/Perth","airport","OurAirports" 3346,"Kalgoorlie Boulder Airport","Kalgoorlie","Australia","KGI","YPKG",-30.789400100699996,121.461997986,1203,8,"O","Australia/Perth","airport","OurAirports" 3347,"Kununurra Airport","Kununurra","Australia","KNX","YPKU",-15.7781000137,128.707992554,145,8,"O","Australia/Perth","airport","OurAirports" 3348,"Learmonth Airport","Learmonth","Australia","LEA","YPLM",-22.235599517799997,114.088996887,19,8,"O","Australia/Perth","airport","OurAirports" 3349,"Port Hedland International Airport","Port Hedland","Australia","PHE","YPPD",-20.3777999878,118.625999451,33,8,"O","Australia/Perth","airport","OurAirports" 3350,"Adelaide Parafield Airport","Adelaide","Australia",\N,"YPPF",-34.793300628699996,138.632995605,57,9.5,"O","Australia/Adelaide","airport","OurAirports" 3351,"Perth International Airport","Perth","Australia","PER","YPPH",-31.94029998779297,115.96700286865234,67,8,"N","Australia/Perth","airport","OurAirports" 3352,"Woomera Airfield","Woomera","Australia","UMR","YPWR",-31.14419937133789,136.81700134277344,548,9.5,"O","Australia/Adelaide","airport","OurAirports" 3353,"Christmas Island Airport","Christmas Island","Christmas Island","XCH","YPXM",-10.450599670410156,105.69000244140625,916,7,"U","Indian/Christmas","airport","OurAirports" 3354,"Sydney Bankstown Airport","Sydney","Australia","BWU","YSBK",-33.924400329589844,150.98800659179688,29,10,"O","Australia/Sydney","airport","OurAirports" 3355,"Canberra International Airport","Canberra","Australia","CBR","YSCB",-35.30690002441406,149.19500732421875,1886,10,"O","Australia/Sydney","airport","OurAirports" 3356,"Coffs Harbour Airport","Coff's Harbour","Australia","CFS","YSCH",-30.3206005096,153.115997314,18,10,"O","Australia/Sydney","airport","OurAirports" 3357,"Camden Airport","Camden","Australia","CDU","YSCN",-34.04029846191406,150.68699645996094,230,10,"O","Australia/Sydney","airport","OurAirports" 3358,"Dubbo City Regional Airport","Dubbo","Australia","DBO","YSDU",-32.2167015076,148.574996948,935,10,"O","Australia/Sydney","airport","OurAirports" 3359,"Norfolk Island International Airport","Norfolk Island","Norfolk Island","NLK","YSNF",-29.04159927368164,167.93899536132812,371,11,"U","Pacific/Norfolk","airport","OurAirports" 3360,"RAAF Base Richmond","Richmond","Australia","XRH","YSRI",-33.600601,150.781006,67,10,"O","Australia/Sydney","airport","OurAirports" 3361,"Sydney Kingsford Smith International Airport","Sydney","Australia","SYD","YSSY",-33.94609832763672,151.177001953125,21,10,"O","Australia/Sydney","airport","OurAirports" 3362,"Tamworth Airport","Tamworth","Australia","TMW","YSTW",-31.0839004517,150.847000122,1334,10,"O","Australia/Sydney","airport","OurAirports" 3363,"Wagga Wagga City Airport","Wagga Wagga","Australia","WGA","YSWG",-35.1652984619,147.466003418,724,10,"O","Australia/Sydney","airport","OurAirports" 3364,"Beijing Capital International Airport","Beijing","China","PEK","ZBAA",40.080101013183594,116.58499908447266,116,8,"U","Asia/Shanghai","airport","OurAirports" 3366,"Dongshan Airport","Hailar","China","HLD","ZBLA",49.2050018311,119.824996948,2169,8,"U","Asia/Shanghai","airport","OurAirports" 3368,"Tianjin Binhai International Airport","Tianjin","China","TSN","ZBTJ",39.124401092499994,117.346000671,10,8,"U","Asia/Shanghai","airport","OurAirports" 3369,"Taiyuan Wusu Airport","Taiyuan","China","TYN","ZBYN",37.74689865112305,112.62799835205078,2575,8,"U","Asia/Shanghai","airport","OurAirports" 3370,"Guangzhou Baiyun International Airport","Guangzhou","China","CAN","ZGGG",23.39240074157715,113.29900360107422,50,8,"U","Asia/Shanghai","airport","OurAirports" 3371,"Changsha Huanghua International Airport","Changcha","China","CSX","ZGHA",28.189199447599997,113.220001221,217,8,"U","Asia/Shanghai","airport","OurAirports" 3372,"Guilin Liangjiang International Airport","Guilin","China","KWL","ZGKL",25.21809959411621,110.03900146484375,570,8,"U","Asia/Shanghai","airport","OurAirports" 3373,"Nanning Wuxu Airport","Nanning","China","NNG","ZGNN",22.608299255371094,108.1719970703125,421,8,"U","Asia/Shanghai","airport","OurAirports" 3374,"Shenzhen Bao'an International Airport","Shenzhen","China","SZX","ZGSZ",22.639299392700195,113.81099700927734,13,8,"U","Asia/Shanghai","airport","OurAirports" 3375,"Zhengzhou Xinzheng International Airport","Zhengzhou","China","CGO","ZHCC",34.519699096699995,113.841003418,495,8,"U","Asia/Shanghai","airport","OurAirports" 3376,"Wuhan Tianhe International Airport","Wuhan","China","WUH","ZHHH",30.7838,114.208,113,8,"U","Asia/Shanghai","airport","OurAirports" 3377,"Pyongyang Sunan International Airport","Pyongyang","North Korea","FNJ","ZKPY",39.224098,125.669998,117,8.5,"U","Asia/Pyongyang","airport","OurAirports" 3378,"Lanzhou Zhongchuan Airport","Lanzhou","China","LHW","ZLLL",36.5152015686,103.620002747,6388,8,"U","Asia/Shanghai","airport","OurAirports" 3379,"Xi'an Xianyang International Airport","Xi'an","China","XIY","ZLXY",34.447102,108.751999,1572,8,"U","Asia/Shanghai","airport","OurAirports" 3380,"Chinggis Khaan International Airport","Ulan Bator","Mongolia","ULN","ZMUB",47.843102,106.766998,4364,8,"U","Asia/Ulaanbaatar","airport","OurAirports" 3381,"Xishuangbanna Gasa Airport","Jinghonggasa","China","JHG","ZPJH",21.973899841308594,100.76000213623047,1815,8,"U","Asia/Shanghai","airport","OurAirports" 3382,"Kunming Changshui International Airport","Kunming","China","KMG","ZPPP",25.1019444,102.9291667,6903,8,"N","Asia/Shanghai","airport","OurAirports" 3383,"Xiamen Gaoqi International Airport","Xiamen","China","XMN","ZSAM",24.54400062561035,118.12799835205078,59,8,"U","Asia/Shanghai","airport","OurAirports" 3384,"Nanchang Changbei International Airport","Nanchang","China","KHN","ZSCN",28.864999771118164,115.9000015258789,143,8,"U","Asia/Shanghai","airport","OurAirports" 3385,"Fuzhou Changle International Airport","Fuzhou","China","FOC","ZSFZ",25.935100555419922,119.66300201416016,46,8,"U","Asia/Shanghai","airport","OurAirports" 3386,"Hangzhou Xiaoshan International Airport","Hangzhou","China","HGH","ZSHC",30.22949981689453,120.43399810791016,23,8,"U","Asia/Shanghai","airport","OurAirports" 3387,"Ningbo Lishe International Airport","Ninbo","China","NGB","ZSNB",29.82670021057129,121.46199798583984,13,8,"U","Asia/Shanghai","airport","OurAirports" 3388,"Nanjing Lukou Airport","Nanjing","China","NKG","ZSNJ",31.742000579833984,118.86199951171875,49,8,"U","Asia/Shanghai","airport","OurAirports" 3389,"Hefei Luogang International Airport","Hefei","China","HFE","ZSOF",31.780000686645508,117.2979965209961,108,8,"U","Asia/Shanghai","airport","OurAirports" 3390,"Liuting Airport","Qingdao","China","TAO","ZSQD",36.2661018372,120.374000549,33,8,"U","Asia/Shanghai","airport","OurAirports" 3391,"Shanghai Hongqiao International Airport","Shanghai","China","SHA","ZSSS",31.197900772094727,121.33599853515625,10,8,"U","Asia/Shanghai","airport","OurAirports" 3392,"Yantai Laishan Airport","Yantai","China","YNT","ZSYT",37.40169906616211,121.37200164794922,59,8,"U","Asia/Shanghai","airport","OurAirports" 3393,"Chongqing Jiangbei International Airport","Chongqing","China","CKG","ZUCK",29.719200134277344,106.64199829101562,1365,8,"U","Asia/Shanghai","airport","OurAirports" 3394,"Longdongbao Airport","Guiyang","China","KWE","ZUGY",26.53849983215332,106.8010025024414,3736,8,"U","Asia/Shanghai","airport","OurAirports" 3395,"Chengdu Shuangliu International Airport","Chengdu","China","CTU","ZUUU",30.578500747680664,103.9469985961914,1625,8,"U","Asia/Shanghai","airport","OurAirports" 3396,"Xichang Qingshan Airport","Xichang","China","XIC","ZUXC",27.989099502563477,102.18399810791016,5112,8,"U","Asia/Shanghai","airport","OurAirports" 3397,"Kashgar Airport","Kashi","China","KHG","ZWSH",39.5429000854,76.0199966431,4529,8,"U","Asia/Shanghai","airport","OurAirports" 3398,"Hotan Airport","Hotan","China","HTN","ZWTN",37.03850173950195,79.86489868164062,4672,8,"U","Asia/Shanghai","airport","OurAirports" 3399,"Ãœrümqi Diwopu International Airport","Urumqi","China","URC","ZWWW",43.907100677490234,87.47419738769531,2125,8,"U","Asia/Shanghai","airport","OurAirports" 3400,"Taiping Airport","Harbin","China","HRB","ZYHB",45.6234016418457,126.25,457,8,"U","Asia/Shanghai","airport","OurAirports" 3402,"Mudanjiang Hailang International Airport","Mudanjiang","China","MDG","ZYMD",44.5241012573,129.569000244,883,8,"U","Asia/Shanghai","airport","OurAirports" 3404,"Zhoushuizi Airport","Dalian","China","DLC","ZYTL",38.9656982421875,121.53900146484375,107,8,"U","Asia/Shanghai","airport","OurAirports" 3406,"Shanghai Pudong International Airport","Shanghai","China","PVG","ZSPD",31.143400192260742,121.80500030517578,13,8,"U","Asia/Shanghai","airport","OurAirports" 3407,"Pulau Tioman Airport","Tioman","Malaysia","TOD","WMBT",2.8181800842285156,104.16000366210938,15,8,"N","Asia/Kuala_Lumpur","airport","OurAirports" 3408,"Sultan Abdul Aziz Shah International Airport","Kuala Lumpur","Malaysia","SZB","WMSA",3.130579948425293,101.54900360107422,90,8,"N","Asia/Kuala_Lumpur","airport","OurAirports" 3409,"Noto Airport","Wajima","Japan","NTQ","RJNW",37.2930984497,136.962005615,718,9,"U","Asia/Tokyo","airport","OurAirports" 3410,"Borg El Arab International Airport","Alexandria","Egypt","HBE","HEBA",30.917699813842773,29.696399688720703,177,2,"U","Africa/Cairo","airport","OurAirports" 3411,"Barter Island LRRS Airport","Barter Island","United States","BTI","PABA",70.1340026855,-143.582000732,2,-9,"A","America/Anchorage","airport","OurAirports" 3412,"Wainwright Air Station","Fort Wainwright","United States",\N,"PAWT",70.61340332,-159.8600006,35,-9,"A","America/Anchorage","airport","OurAirports" 3413,"Cape Lisburne LRRS Airport","Cape Lisburne","United States","LUR","PALU",68.87509918,-166.1100006,16,-9,"A","America/Anchorage","airport","OurAirports" 3414,"Point Lay LRRS Airport","Point Lay","United States","PIZ","PPIZ",69.73290253,-163.0050049,22,-9,"A","America/Anchorage","airport","OurAirports" 3415,"Hilo International Airport","Hilo","United States","ITO","PHTO",19.721399307250977,-155.04800415039062,38,-10,"N","Pacific/Honolulu","airport","OurAirports" 3416,"Orlando Executive Airport","Orlando","United States","ORL","KORL",28.5455,-81.332901,113,-5,"A","America/New_York","airport","OurAirports" 3417,"Bettles Airport","Bettles","United States","BTT","PABT",66.91390228,-151.529007,647,-9,"A","America/Anchorage","airport","OurAirports" 3418,"Clear Airport","Clear Mews","United States",\N,"PACL",64.301201,-149.119995,552,-9,"A","America/Anchorage","airport","OurAirports" 3419,"Indian Mountain LRRS Airport","Indian Mountains","United States","UTO","PAIM",65.99279785,-153.7039948,1273,-9,"A","America/Anchorage","airport","OurAirports" 3420,"Fort Yukon Airport","Fort Yukon","United States","FYU","PFYU",66.57150268554688,-145.25,433,-9,"A","America/Anchorage","airport","OurAirports" 3421,"Sparrevohn LRRS Airport","Sparrevohn","United States","SVW","PASV",61.09740067,-155.5740051,1585,-9,"A","America/Anchorage","airport","OurAirports" 3422,"Bryant Army Heliport","Fort Richardson","United States","FRN","PAFR",61.26639938,-149.6529999,378,-9,"A","America/Anchorage","airport","OurAirports" 3423,"Tatalina LRRS Airport","Tatalina","United States","TLJ","PATL",62.894401550299996,-155.977005005,964,-9,"A","America/Anchorage","airport","OurAirports" 3424,"Cape Romanzof LRRS Airport","Cape Romanzof","United States","CZF","PACZ",61.78030014,-166.0390015,464,-9,"A","America/Anchorage","airport","OurAirports" 3425,"Laurence G Hanscom Field","Bedford","United States","BED","KBED",42.47000122,-71.28900146,133,-5,"A","America/New_York","airport","OurAirports" 3426,"St Paul Island Airport","St. Paul Island","United States","SNP","PASN",57.167301177978516,-170.22000122070312,63,-9,"A","America/Anchorage","airport","OurAirports" 3427,"Cape Newenham LRRS Airport","Cape Newenham","United States","EHM","PAEH",58.646400451699996,-162.06300354,541,-9,"A","America/Anchorage","airport","OurAirports" 3428,"St George Airport","Point Barrow","United States","STG","PAPB",56.578300476100004,-169.662002563,125,-9,"A","America/Anchorage","airport","OurAirports" 3429,"Iliamna Airport","Iliamna","United States","ILI","PAIL",59.75439835,-154.9109955,192,-9,"A","America/Anchorage","airport","OurAirports" 3430,"Platinum Airport","Port Moller","United States","PTU","PAPM",59.01139831542969,-161.82000732421875,15,-9,"A","America/Anchorage","airport","OurAirports" 3431,"Big Mountain Airport","Big Mountain","United States","BMX","PABM",59.3611984253,-155.259002686,663,-9,"A","America/Anchorage","airport","OurAirports" 3432,"Oscoda Wurtsmith Airport","Oscoda","United States","OSC","KOSC",44.451599,-83.394096,633,-5,"A","America/New_York","airport","OurAirports" 3433,"Marina Municipal Airport","Fort Ord","United States","OAR","KOAR",36.68190002,-121.762001,137,-8,"A","America/Los_Angeles","airport","OurAirports" 3434,"Sacramento Mather Airport","Sacramento","United States","MHR","KMHR",38.55390167,-121.2979965,98,-8,"A","America/Los_Angeles","airport","OurAirports" 3435,"Bicycle Lake Army Air Field","Fort Irwin","United States","BYS","KBYS",35.2804985046,-116.629997253,2350,-8,"A","America/Los_Angeles","airport","OurAirports" 3436,"Twentynine Palms (Self) Airport","Twenty Nine Palms","United States",\N,"KNXP",34.2961998,-116.1620026,2051,-8,"A","America/Los_Angeles","airport","OurAirports" 3437,"Fort Smith Regional Airport","Fort Smith","United States","FSM","KFSM",35.33660125732422,-94.36740112304688,469,-6,"A","America/Chicago","airport","OurAirports" 3438,"Merrill Field","Anchorage","United States","MRI","PAMR",61.2135009765625,-149.843994140625,137,-9,"A","America/Anchorage","airport","OurAirports" 3439,"Grants-Milan Municipal Airport","Grants","United States","GNT","KGNT",35.167301178,-107.902000427,6537,-7,"A","America/Denver","airport","OurAirports" 3440,"Ponca City Regional Airport","Ponca City","United States","PNC","KPNC",36.73199844,-97.09980011,1008,-6,"A","America/Chicago","airport","OurAirports" 3441,"Hunter Army Air Field","Hunter Aaf","United States","SVN","KSVN",32.00999832,-81.14569855,41,-5,"A","America/New_York","airport","OurAirports" 3442,"Grand Forks International Airport","Grand Forks","United States","GFK","KGFK",47.949299,-97.176102,845,-6,"A","America/Chicago","airport","OurAirports" 3443,"Pine Bluff Regional Airport, Grider Field","Pine Bluff","United States","PBF","KPBF",34.1731,-91.9356,206,-6,"A","America/Chicago","airport","OurAirports" 3444,"Whiting Field Naval Air Station - North","Milton","United States","NSE","KNSE",30.7241993,-87.02189636,199,-6,"A","America/Chicago","airport","OurAirports" 3445,"Hana Airport","Hana","United States","HNM","PHHN",20.79560089111328,-156.01400756835938,78,-10,"A","Pacific/Honolulu","airport","OurAirports" 3446,"Ernest A. Love Field","Prescott","United States","PRC","KPRC",34.65449905,-112.4199982,5045,-7,"A","America/Phoenix","airport","OurAirports" 3447,"Trenton Mercer Airport","Trenton","United States","TTN","KTTN",40.27669906616211,-74.8134994506836,213,-5,"A","America/New_York","airport","OurAirports" 3448,"General Edward Lawrence Logan International Airport","Boston","United States","BOS","KBOS",42.36429977,-71.00520325,20,-5,"A","America/New_York","airport","OurAirports" 3449,"Travis Air Force Base","Fairfield","United States","SUU","KSUU",38.262699127197,-121.92700195312,62,-8,"A","America/Los_Angeles","airport","OurAirports" 3450,"Griffiss International Airport","Rome","United States","RME","KRME",43.23379898,-75.40699768,504,-5,"A","America/New_York","airport","OurAirports" 3451,"Wendover Airport","Wendover","United States","ENV","KENV",40.7187004089,-114.03099823,4237,-7,"A","America/Denver","airport","OurAirports" 3452,"Mobile Downtown Airport","Mobile","United States","BFM","KBFM",30.626800537100003,-88.06809997559999,26,-6,"A","America/Chicago","airport","OurAirports" 3453,"Metropolitan Oakland International Airport","Oakland","United States","OAK","KOAK",37.721298,-122.221001,9,-8,"A","America/Los_Angeles","airport","OurAirports" 3454,"Eppley Airfield","Omaha","United States","OMA","KOMA",41.3032,-95.894096,984,-6,"A","America/Chicago","airport","OurAirports" 3455,"Port Angeles Cgas Airport","Port Angeles","United States",\N,"KNOW",48.14149856567383,-123.41400146484375,13,-8,"A","America/Los_Angeles","airport","OurAirports" 3456,"Kahului Airport","Kahului","United States","OGG","PHOG",20.8986,-156.429993,54,-10,"N","Pacific/Honolulu","airport","OurAirports" 3457,"Wichita Eisenhower National Airport","Wichita","United States","ICT","KICT",37.649899,-97.433098,1333,-6,"A","America/Chicago","airport","OurAirports" 3458,"Kansas City International Airport","Kansas City","United States","MCI","KMCI",39.2976,-94.713898,1026,-6,"A","America/Chicago","airport","OurAirports" 3459,"Dane County Regional Truax Field","Madison","United States","MSN","KMSN",43.13990020751953,-89.3375015258789,887,-6,"A","America/Chicago","airport","OurAirports" 3460,"Dillingham Airport","Dillingham","United States","DLG","PADL",59.04470062,-158.5050049,81,-9,"A","America/Anchorage","airport","OurAirports" 3461,"Boone County Airport","Harrison","United States","HRO","KHRO",36.26150131225586,-93.15470123291016,1365,-6,"A","America/Chicago","airport","OurAirports" 3462,"Phoenix Sky Harbor International Airport","Phoenix","United States","PHX","KPHX",33.43429946899414,-112.01200103759766,1135,-7,"N","America/Phoenix","airport","OurAirports" 3463,"Bangor International Airport","Bangor","United States","BGR","KBGR",44.80739974975586,-68.8281021118164,192,-5,"A","America/New_York","airport","OurAirports" 3464,"Fort Lauderdale Executive Airport","Fort Lauderdale","United States","FXE","KFXE",26.1972999573,-80.1707000732,13,-5,"A","America/New_York","airport","OurAirports" 3465,"East Texas Regional Airport","Longview","United States","GGG","KGGG",32.38399887084961,-94.71150207519531,365,-6,"A","America/Chicago","airport","OurAirports" 3466,"Anderson Regional Airport","Andersen","United States","AND","KAND",34.4945983887,-82.70939636230001,782,-5,"A","America/New_York","airport","OurAirports" 3467,"Spokane International Airport","Spokane","United States","GEG","KGEG",47.61989974975586,-117.53399658203125,2376,-8,"A","America/Los_Angeles","airport","OurAirports" 3468,"North Perry Airport","Hollywood","United States","HWO","KHWO",26.0012,-80.2407,8,-5,"A","America/New_York","airport","OurAirports" 3469,"San Francisco International Airport","San Francisco","United States","SFO","KSFO",37.61899948120117,-122.375,13,-8,"A","America/Los_Angeles","airport","OurAirports" 3470,"Cut Bank International Airport","Cutbank","United States","CTB","KCTB",48.6083984375,-112.375999451,3854,-7,"A","America/Denver","airport","OurAirports" 3471,"Acadiana Regional Airport","Louisiana","United States","ARA","KARA",30.0378,-91.883904,24,-6,"A","America/Chicago","airport","OurAirports" 3472,"Gainesville Regional Airport","Gainesville","United States","GNV","KGNV",29.6900997162,-82.2717971802,152,-5,"A","America/New_York","airport","OurAirports" 3473,"Memphis International Airport","Memphis","United States","MEM","KMEM",35.04240036010742,-89.97669982910156,341,-6,"A","America/Chicago","airport","OurAirports" 3474,"Bisbee Douglas International Airport","Douglas","United States","DUG","KDUG",31.4689998627,-109.603996277,4154,-7,"A","America/Phoenix","airport","OurAirports" 3475,"Allen Army Airfield","Delta Junction","United States","BIG","PABI",63.9944992065,-145.722000122,1291,-9,"A","America/Anchorage","airport","OurAirports" 3476,"TSTC Waco Airport","Waco","United States","CNW","KCNW",31.637800216699997,-97.0740966797,470,-6,"A","America/Chicago","airport","OurAirports" 3477,"Annette Island Airport","Annette Island","United States","ANN","PANT",55.04240036010742,-131.57200622558594,119,-9,"A","America/Anchorage","airport","OurAirports" 3478,"Caribou Municipal Airport","Caribou","United States","CAR","KCAR",46.871498107899995,-68.0178985596,626,-5,"A","America/New_York","airport","OurAirports" 3479,"Little Rock Air Force Base","Jacksonville","United States","LRF","KLRF",34.916900634799994,-92.14969635010002,311,-6,"A","America/Chicago","airport","OurAirports" 3480,"Redstone Army Air Field","Redstone","United States","HUA","KHUA",34.67869949,-86.68479919,684,-6,"A","America/Chicago","airport","OurAirports" 3481,"Pope Field","Fort Bragg","United States","POB","KPOB",35.1708984375,-79.014503479004,217,-5,"A","America/New_York","airport","OurAirports" 3482,"Dalhart Municipal Airport","Dalhart","United States","DHT","KDHT",36.0225982666,-102.54699707,3991,-6,"A","America/Chicago","airport","OurAirports" 3483,"DLF Airport","Del Rio","United States","DLF","KDLF",29.359501,-100.778002,1082,-6,"A","America/Chicago","airport","OurAirports" 3484,"Los Angeles International Airport","Los Angeles","United States","LAX","KLAX",33.94250107,-118.4079971,125,-8,"A","America/Los_Angeles","airport","OurAirports" 3485,"Anniston Regional Airport","Anniston","United States","ANB","KANB",33.5882,-85.8581,612,-6,"A","America/Chicago","airport","OurAirports" 3486,"Cleveland Hopkins International Airport","Cleveland","United States","CLE","KCLE",41.4117012024,-81.8498001099,791,-5,"A","America/New_York","airport","OurAirports" 3487,"Dover Air Force Base","Dover","United States","DOV","KDOV",39.12950134,-75.46600342,24,-5,"A","America/New_York","airport","OurAirports" 3488,"Cincinnati Northern Kentucky International Airport","Cincinnati","United States","CVG","KCVG",39.0488014221,-84.6678009033,896,-5,"A","America/New_York","airport","OurAirports" 3489,"Tipton Airport","Fort Meade","United States","FME","KFME",39.08539962769999,-76.7593994141,150,-5,"A","America/New_York","airport","OurAirports" 3490,"China Lake Naws (Armitage Field) Airport","China Lake","United States",\N,"KNID",35.6853981,-117.6920013,2283,-8,"A","America/Los_Angeles","airport","OurAirports" 3491,"Huron Regional Airport","Huron","United States","HON","KHON",44.38520050048828,-98.22850036621094,1289,-6,"A","America/Chicago","airport","OurAirports" 3492,"Juneau International Airport","Juneau","United States","JNU","PAJN",58.35499954223633,-134.5760040283203,21,-9,"A","America/Anchorage","airport","OurAirports" 3493,"Lafayette Regional Airport","Lafayette","United States","LFT","KLFT",30.20529938,-91.98760223,42,-6,"A","America/Chicago","airport","OurAirports" 3494,"Newark Liberty International Airport","Newark","United States","EWR","KEWR",40.692501068115234,-74.168701171875,18,-5,"A","America/New_York","airport","OurAirports" 3495,"Boise Air Terminal/Gowen Field","Boise","United States","BOI","KBOI",43.5644,-116.223,2871,-7,"A","America/Denver","airport","OurAirports" 3496,"Creech Air Force Base","Indian Springs","United States","INS","KINS",36.587200164799995,-115.672996521,3133,-8,"A","America/Los_Angeles","airport","OurAirports" 3497,"Garden City Regional Airport","Garden City","United States","GCK","KGCK",37.9275016785,-100.723999023,2891,-6,"A","America/Chicago","airport","OurAirports" 3498,"Minot International Airport","Minot","United States","MOT","KMOT",48.2593994140625,-101.27999877929688,1716,-6,"A","America/Chicago","airport","OurAirports" 3499,"Wheeler Army Airfield","Wahiawa","United States","HHI","PHHI",21.48349953,-158.0399933,837,-10,"A","Pacific/Honolulu","airport","OurAirports" 3500,"Maxwell Air Force Base","Montgomery","United States","MXF","KMXF",32.3829,-86.365799,171,-6,"A","America/Chicago","airport","OurAirports" 3501,"Robinson Army Air Field","Robinson","United States",\N,"KRBM",34.85010147,-92.30020142,587,-6,"A","America/Chicago","airport","OurAirports" 3502,"Dallas Love Field","Dallas","United States","DAL","KDAL",32.847099,-96.851799,487,-6,"A","America/Chicago","airport","OurAirports" 3503,"Butts AAF (Fort Carson) Air Field","Fort Carson","United States","FCS","KFCS",38.67839813,-104.7570038,5838,-7,"A","America/Denver","airport","OurAirports" 3504,"Helena Regional Airport","Helena","United States","HLN","KHLN",46.6068000793457,-111.98300170898438,3877,-7,"A","America/Denver","airport","OurAirports" 3505,"Miramar Marine Corps Air Station - Mitscher Field","Miramar","United States","NKX","KNKX",32.86840057,-117.1429977,477,-8,"A","America/Los_Angeles","airport","OurAirports" 3506,"Luke Air Force Base","Phoenix","United States","LUF","KLUF",33.534999847399995,-112.383003235,1085,-7,"A","America/Phoenix","airport","OurAirports" 3507,"Hurlburt Field","Mary Esther","United States",\N,"KHRT",30.427799224853516,-86.68930053710938,38,-6,"A","America/Chicago","airport","OurAirports" 3508,"Jack Northrop Field Hawthorne Municipal Airport","Hawthorne","United States","HHR","KHHR",33.922798,-118.334999,66,-8,"A","America/Los_Angeles","airport","OurAirports" 3509,"Houlton International Airport","Houlton","United States","HUL","KHUL",46.1231002808,-67.792098999,489,-5,"A","America/New_York","airport","OurAirports" 3510,"Vance Air Force Base","Enid","United States","END","KEND",36.339199066199996,-97.9164962769,1307,-6,"A","America/Chicago","airport","OurAirports" 3511,"Point Mugu Naval Air Station (Naval Base Ventura Co)","Point Mugu","United States","NTD","KNTD",34.120300293,-119.121002197,13,-8,"A","America/Los_Angeles","airport","OurAirports" 3512,"Edwards Air Force Base","Edwards Afb","United States","EDW","KEDW",34.905399,-117.884003,2312,-8,"A","America/Los_Angeles","airport","OurAirports" 3513,"Lake Charles Regional Airport","Lake Charles","United States","LCH","KLCH",30.126100540161133,-93.22329711914062,15,-6,"A","America/Chicago","airport","OurAirports" 3514,"Ellison Onizuka Kona International At Keahole Airport","Kona","United States","KOA","PHKO",19.738783,-156.045603,47,-10,"N","Pacific/Honolulu","airport","OurAirports" 3515,"Myrtle Beach International Airport","Myrtle Beach","United States","MYR","KMYR",33.6796989441,-78.9282989502,25,-5,"A","America/New_York","airport","OurAirports" 3516,"Lemoore Naval Air Station (Reeves Field) Airport","Lemoore","United States","NLC","KNLC",36.33300018,-119.9520035,232,-8,"A","America/Los_Angeles","airport","OurAirports" 3517,"Nantucket Memorial Airport","Nantucket","United States","ACK","KACK",41.25310135,-70.06020355,47,-5,"A","America/New_York","airport","OurAirports" 3518,"Felker Army Air Field","Fort Eustis","United States","FAF","KFAF",37.132499694799996,-76.60880279540001,12,-5,"A","America/New_York","airport","OurAirports" 3519,"Campbell AAF (Fort Campbell) Air Field","Hopkinsville","United States","HOP","KHOP",36.668598175,-87.49620056150002,573,-6,"A","America/Chicago","airport","OurAirports" 3520,"Ronald Reagan Washington National Airport","Washington","United States","DCA","KDCA",38.8521,-77.037697,15,-5,"A","America/New_York","airport","OurAirports" 3521,"Patuxent River Naval Air Station (Trapnell Field)","Patuxent River","United States","NHK","KNHK",38.285999,-76.411797,39,-5,"A","America/New_York","airport","OurAirports" 3522,"Palacios Municipal Airport","Palacios","United States","PSX","KPSX",28.727500915527,-96.250999450684,14,-6,"A","America/Chicago","airport","OurAirports" 3523,"Arkansas International Airport","Blytheville","United States","BYH","KBYH",35.9642982483,-89.94400024410001,254,-6,"A","America/Chicago","airport","OurAirports" 3524,"Atlantic City International Airport","Atlantic City","United States","ACY","KACY",39.45759963989258,-74.57720184326172,75,-5,"A","America/New_York","airport","OurAirports" 3525,"Tinker Air Force Base","Oklahoma City","United States","TIK","KTIK",35.414699554443,-97.386596679688,1291,-6,"A","America/Chicago","airport","OurAirports" 3526,"Elizabeth City Regional Airport & Coast Guard Air Station","Elizabeth City","United States","ECG","KECG",36.26060104,-76.17459869,12,-5,"A","America/New_York","airport","OurAirports" 3527,"Pueblo Memorial Airport","Pueblo","United States","PUB","KPUB",38.289100646972656,-104.49700164794922,4726,-7,"A","America/Denver","airport","OurAirports" 3528,"Northern Maine Regional Airport at Presque Isle","Presque Isle","United States","PQI","KPQI",46.68899918,-68.0447998,534,-5,"A","America/New_York","airport","OurAirports" 3530,"Gray Army Air Field","Fort Lewis","United States","GRF","KGRF",47.07920074,-122.5810013,300,-8,"A","America/Los_Angeles","airport","OurAirports" 3531,"Kodiak Airport","Kodiak","United States","ADQ","PADQ",57.75,-152.4940033,78,-9,"A","America/Anchorage","airport","OurAirports" 3532,"Upolu Airport","Opolu","United States","UPP","PHUP",20.265300750732422,-155.86000061035156,96,-10,"A","Pacific/Honolulu","airport","OurAirports" 3533,"Fort Lauderdale Hollywood International Airport","Fort Lauderdale","United States","FLL","KFLL",26.072599,-80.152702,9,-5,"A","America/New_York","airport","OurAirports" 3534,"Muskogee-Davis Regional Airport","Muskogee","United States",\N,"KMKO",35.656502,-95.366699,611,-6,"A","America/Chicago","airport","OurAirports" 3535,"Falls International Airport","International Falls","United States","INL","KINL",48.566200256347656,-93.4030990600586,1185,-6,"A","America/Chicago","airport","OurAirports" 3536,"Salt Lake City International Airport","Salt Lake City","United States","SLC","KSLC",40.78839874267578,-111.97799682617188,4227,-7,"A","America/Denver","airport","OurAirports" 3537,"Childress Municipal Airport","Childress","United States","CDS","KCDS",34.4337997437,-100.288002014,1954,-6,"A","America/Chicago","airport","OurAirports" 3538,"Keesler Air Force Base","Biloxi","United States","BIX","KBIX",30.4104003906,-88.92440032959999,33,-6,"A","America/Chicago","airport","OurAirports" 3539,"Lawson Army Air Field (Fort Benning)","Fort Benning","United States","LSF","KLSF",32.337299346900004,-84.9913024902,232,-5,"A","America/New_York","airport","OurAirports" 3540,"Kingsville Naval Air Station","Kingsville","United States","NQI","KNQI",27.5072002411,-97.8097000122,50,-6,"A","America/Chicago","airport","OurAirports" 3541,"Marshall Army Air Field","Fort Riley","United States","FRI","KFRI",39.05530167,-96.76450348,1065,-6,"A","America/Chicago","airport","OurAirports" 3542,"Harrisburg International Airport","Harrisburg","United States","MDT","KMDT",40.1935005188,-76.7633972168,310,-5,"A","America/New_York","airport","OurAirports" 3543,"Lincoln Airport","Lincoln","United States","LNK","KLNK",40.85100173950195,-96.75920104980469,1219,-6,"A","America/Chicago","airport","OurAirports" 3544,"Capital City Airport","Lansing","United States","LAN","KLAN",42.77870178222656,-84.58740234375,861,-5,"A","America/New_York","airport","OurAirports" 3545,"Waimea Kohala Airport","Kamuela","United States","MUE","PHMU",20.001300811767578,-155.66799926757812,2671,-10,"A","Pacific/Honolulu","airport","OurAirports" 3546,"Massena International Richards Field","Massena","United States","MSS","KMSS",44.93579864501953,-74.84559631347656,215,-5,"A","America/New_York","airport","OurAirports" 3547,"Hickory Regional Airport","Hickory","United States","HKY","KHKY",35.74110031,-81.38950348,1190,-5,"A","America/New_York","airport","OurAirports" 3548,"Albert Whitted Airport","St. Petersburg","United States","SPG","KSPG",27.7651,-82.626999,7,-5,"A","America/New_York","airport","OurAirports" 3549,"Page Field","Fort Myers","United States","FMY","KFMY",26.58659935,-81.86329650879999,17,-5,"A","America/New_York","airport","OurAirports" 3550,"George Bush Intercontinental Houston Airport","Houston","United States","IAH","KIAH",29.984399795532227,-95.34140014648438,97,-6,"A","America/Chicago","airport","OurAirports" 3551,"Millinocket Municipal Airport","Millinocket","United States",\N,"KMLT",45.64780044555664,-68.68560028076172,408,-5,"A","America/New_York","airport","OurAirports" 3552,"Joint Base Andrews","Camp Springs","United States","ADW","KADW",38.810799,-76.866997,280,-5,"A","America/New_York","airport","OurAirports" 3553,"Smith Reynolds Airport","Winston-salem","United States","INT","KINT",36.13370132446289,-80.22200012207031,969,-5,"A","America/New_York","airport","OurAirports" 3554,"Southern California Logistics Airport","Victorville","United States","VCV","KVCV",34.597499847399995,-117.383003235,2885,-8,"A","America/Los_Angeles","airport","OurAirports" 3555,"Bob Sikes Airport","Crestview","United States","CEW","KCEW",30.778799057,-86.522102356,213,-6,"A","America/Chicago","airport","OurAirports" 3556,"Wheeler Sack Army Air Field","Fort Drum","United States",\N,"KGTB",44.05559921,-75.71949768,688,-5,"A","America/New_York","airport","OurAirports" 3557,"St Clair County International Airport","Port Huron","United States","PHN","KPHN",42.9109993,-82.52890015,650,-5,"A","America/New_York","airport","OurAirports" 3558,"Meadows Field","Bakersfield","United States","BFL","KBFL",35.43360138,-119.0569992,510,-8,"A","America/Los_Angeles","airport","OurAirports" 3559,"El Paso International Airport","El Paso","United States","ELP","KELP",31.80719948,-106.3779984,3959,-7,"A","America/Denver","airport","OurAirports" 3560,"Valley International Airport","Harlingen","United States","HRL","KHRL",26.228500366210938,-97.65440368652344,36,-6,"A","America/Chicago","airport","OurAirports" 3561,"Columbia Metropolitan Airport","Columbia","United States","CAE","KCAE",33.93880081176758,-81.11949920654297,236,-5,"A","America/New_York","airport","OurAirports" 3562,"Davis Monthan Air Force Base","Tucson","United States","DMA","KDMA",32.1665000916,-110.883003235,2704,-7,"A","America/Phoenix","airport","OurAirports" 3563,"Pensacola Naval Air Station/Forrest Sherman Field","Pensacola","United States","NPA","KNPA",30.35269928,-87.31860352,28,-6,"A","America/Chicago","airport","OurAirports" 3564,"Pensacola Regional Airport","Pensacola","United States","PNS","KPNS",30.473400115967,-87.186599731445,121,-6,"A","America/Chicago","airport","OurAirports" 3565,"Grand Forks Air Force Base","Red River","United States","RDR","KRDR",47.961101532,-97.4011993408,913,-6,"A","America/Chicago","airport","OurAirports" 3566,"William P Hobby Airport","Houston","United States","HOU","KHOU",29.64539909,-95.27890015,46,-6,"A","America/Chicago","airport","OurAirports" 3567,"Buckley Air Force Base","Buckley","United States","BFK","KBKF",39.701698303200004,-104.751998901,5662,-7,"A","America/Denver","airport","OurAirports" 3568,"Northway Airport","Northway","United States","ORT","PAOR",62.9612999,-141.9290009,1715,-9,"A","America/Anchorage","airport","OurAirports" 3569,"Warren ""Bud"" Woods Palmer Municipal Airport","Palmer","United States","PAQ","PAAQ",61.594898,-149.08901,242,-9,"A","America/Anchorage","airport","OurAirports" 3570,"Pittsburgh International Airport","Pittsburgh","United States","PIT","KPIT",40.49150085,-80.23290253,1203,-5,"A","America/New_York","airport","OurAirports" 3571,"Wiley Post Will Rogers Memorial Airport","Barrow","United States","BRW","PABR",71.285402,-156.766008,44,-9,"A","America/Anchorage","airport","OurAirports" 3572,"Ellington Airport","Houston","United States","EFD","KEFD",29.607299804700002,-95.1587982178,32,-6,"A","America/Chicago","airport","OurAirports" 3573,"Whidbey Island Naval Air Station (Ault Field)","Whidbey Island","United States","NUW","KNUW",48.351799,-122.655998,47,-8,"A","America/Los_Angeles","airport","OurAirports" 3574,"Alice International Airport","Alice","United States","ALI","KALI",27.740900039699998,-98.02690124510002,178,-6,"A","America/Chicago","airport","OurAirports" 3575,"Moody Air Force Base","Valdosta","United States","VAD","KVAD",30.9678001404,-83.1930007935,233,-5,"A","America/New_York","airport","OurAirports" 3576,"Miami International Airport","Miami","United States","MIA","KMIA",25.79319953918457,-80.29060363769531,8,-5,"A","America/New_York","airport","OurAirports" 3577,"Seattle Tacoma International Airport","Seattle","United States","SEA","KSEA",47.449001,-122.308998,433,-8,"A","America/Los_Angeles","airport","OurAirports" 3578,"Lovell Field","Chattanooga","United States","CHA","KCHA",35.035301208496094,-85.20379638671875,683,-5,"A","America/New_York","airport","OurAirports" 3579,"Igor I Sikorsky Memorial Airport","Stratford","United States","BDR","KBDR",41.16350173950195,-73.1261978149414,9,-5,"A","America/New_York","airport","OurAirports" 3580,"Jackson-Medgar Wiley Evers International Airport","Jackson","United States","JAN","KJAN",32.3111991882,-90.0758972168,346,-6,"A","America/Chicago","airport","OurAirports" 3581,"Scholes International At Galveston Airport","Galveston","United States","GLS","KGLS",29.265300750732422,-94.86039733886719,6,-6,"A","America/Chicago","airport","OurAirports" 3582,"Long Beach /Daugherty Field/ Airport","Long Beach","United States","LGB","KLGB",33.81769943,-118.1520004,60,-8,"A","America/Los_Angeles","airport","OurAirports" 3583,"Dillingham Airfield","Dillingham","United States","HDH","PHDH",21.5795001984,-158.197006226,14,-10,"A","Pacific/Honolulu","airport","OurAirports" 3584,"Williamsport Regional Airport","Williamsport","United States","IPT","KIPT",41.241798400878906,-76.92109680175781,529,-5,"A","America/New_York","airport","OurAirports" 3585,"Indianapolis International Airport","Indianapolis","United States","IND","KIND",39.7173,-86.294403,797,-5,"A","America/New_York","airport","OurAirports" 3586,"Whiteman Air Force Base","Knobnoster","United States","SZL","KSZL",38.73030090332,-93.547897338867,870,-6,"A","America/Chicago","airport","OurAirports" 3587,"Akron Fulton International Airport","Akron","United States","AKC","KAKR",41.0374984741,-81.4669036865,1067,-5,"A","America/New_York","airport","OurAirports" 3588,"Greenwood–Leflore Airport","Greenwood","United States","GWO","KGWO",33.4943008423,-90.0847015381,162,-6,"A","America/Chicago","airport","OurAirports" 3589,"Westchester County Airport","White Plains","United States","HPN","KHPN",41.06700134277344,-73.70760345458984,439,-5,"A","America/New_York","airport","OurAirports" 3590,"Francis S Gabreski Airport","West Hampton Beach","United States","FOK","KFOK",40.8437004089,-72.6317977905,67,-5,"A","America/New_York","airport","OurAirports" 3591,"Jonesboro Municipal Airport","Jonesboro","United States","JBR","KJBR",35.83169937133789,-90.64640045166016,262,-6,"A","America/Chicago","airport","OurAirports" 3592,"Tonopah Test Range Airport","Tonopah","United States","XSD","KTNX",37.7988014221,-116.78099823,5549,-8,"A","America/Los_Angeles","airport","OurAirports" 3593,"Palm Beach County Park Airport","West Palm Beach","United States","LNA","KLNA",26.59300041,-80.08509827,14,-5,"A","America/New_York","airport","OurAirports" 3594,"North Island Naval Air Station-Halsey Field","San Diego","United States","NZY","KNZY",32.69919968,-117.2149963,26,-8,"A","America/Los_Angeles","airport","OurAirports" 3595,"Biggs Army Air Field (Fort Bliss)","El Paso","United States","BIF","KBIF",31.84950066,-106.3799973,3946,-7,"A","America/Denver","airport","OurAirports" 3596,"Yuma MCAS/Yuma International Airport","Yuma","United States","YUM","KNYL",32.65660095,-114.6060028,213,-7,"N","America/Phoenix","airport","OurAirports" 3597,"Cavern City Air Terminal","Carlsbad","United States","CNM","KCNM",32.337501525878906,-104.26300048828125,3295,-7,"A","America/Denver","airport","OurAirports" 3598,"Duluth International Airport","Duluth","United States","DLH","KDLH",46.8420982361,-92.19360351559999,1428,-6,"A","America/Chicago","airport","OurAirports" 3599,"Bethel Airport","Bethel","United States","BET","PABE",60.77980042,-161.8379974,126,-9,"A","America/Anchorage","airport","OurAirports" 3600,"Bowman Field","Louisville","United States","LOU","KLOU",38.2280006409,-85.6636962891,546,-5,"A","America/New_York","airport","OurAirports" 3601,"Sierra Vista Municipal Libby Army Air Field","Fort Huachuca","United States","FHU","KFHU",31.588499069213867,-110.34400177001953,4719,-7,"A","America/Phoenix","airport","OurAirports" 3602,"Lihue Airport","Lihue","United States","LIH","PHLI",21.97599983215332,-159.33900451660156,153,-10,"N","Pacific/Honolulu","airport","OurAirports" 3603,"Terre Haute Regional Airport, Hulman Field","Terre Haute","United States","HUF","KHUF",39.4515,-87.307602,589,-5,"A","America/New_York","airport","OurAirports" 3604,"Havre City County Airport","Havre","United States","HVR","KHVR",48.54299927,-109.762001,2591,-7,"A","America/Denver","airport","OurAirports" 3605,"Grant County International Airport","Grant County Airport","United States","MWH","KMWH",47.20769882,-119.3199997,1189,-8,"A","America/Los_Angeles","airport","OurAirports" 3606,"Edward F Knapp State Airport","Montpelier","United States","MPV","KMPV",44.20349884,-72.56230164,1166,-5,"A","America/New_York","airport","OurAirports" 3607,"San Nicolas Island Nolf Airport","San Nicolas Island","United States",\N,"KNSI",33.23979949951172,-119.45800018310547,506,-8,"A","America/Los_Angeles","airport","OurAirports" 3608,"Richmond International Airport","Richmond","United States","RIC","KRIC",37.50519943237305,-77.3197021484375,167,-5,"A","America/New_York","airport","OurAirports" 3609,"Shreveport Regional Airport","Shreveport","United States","SHV","KSHV",32.446602,-93.8256,258,-6,"A","America/Chicago","airport","OurAirports" 3610,"Merle K (Mudhole) Smith Airport","Cordova","United States","CDV","PACV",60.4917984,-145.4779968,54,-9,"A","America/Anchorage","airport","OurAirports" 3611,"Norfolk International Airport","Norfolk","United States","ORF","KORF",36.89459991455078,-76.20120239257812,26,-5,"A","America/New_York","airport","OurAirports" 3612,"Southeast Texas Regional Airport","Beaumont","United States","BPT","KBPT",29.9507999420166,-94.02069854736328,15,-6,"A","America/Chicago","airport","OurAirports" 3613,"Savannah Hilton Head International Airport","Savannah","United States","SAV","KSAV",32.12760162,-81.20210266,50,-5,"A","America/New_York","airport","OurAirports" 3614,"Hill Air Force Base","Ogden","United States","HIF","KHIF",41.12403,-111.973086,4789,-7,"A","America/Denver","airport","OurAirports" 3615,"Nome Airport","Nome","United States","OME","PAOM",64.51219940185547,-165.44500732421875,37,-9,"A","America/Anchorage","airport","OurAirports" 3616,"Scappoose Industrial Airpark","San Luis","United States",\N,"KSPB",45.770999908447266,-122.86199951171875,58,-8,"A","America/Los_Angeles","airport","OurAirports" 3617,"St Petersburg Clearwater International Airport","St. Petersburg","United States","PIE","KPIE",27.91020012,-82.68740082,11,-5,"A","America/New_York","airport","OurAirports" 3618,"Menominee Regional Airport","Macon","United States","MNM","KMNM",45.126701,-87.638397,625,-6,"A","America/Chicago","airport","OurAirports" 3619,"Conroe-North Houston Regional Airport","Conroe","United States","CXO","KCXO",30.351801,-95.414497,245,-6,"A","America/Chicago","airport","OurAirports" 3620,"Deadhorse Airport","Deadhorse","United States","SCC","PASC",70.19470215,-148.4649963,65,-9,"A","America/Anchorage","airport","OurAirports" 3621,"San Antonio International Airport","San Antonio","United States","SAT","KSAT",29.533700942993164,-98.46980285644531,809,-6,"A","America/Chicago","airport","OurAirports" 3622,"Greater Rochester International Airport","Rochester","United States","ROC","KROC",43.118900299072266,-77.67240142822266,559,-5,"A","America/New_York","airport","OurAirports" 3623,"Patrick Air Force Base","Coco Beach","United States","COF","KCOF",28.2348995209,-80.6100997925,8,-5,"A","America/New_York","airport","OurAirports" 3624,"Teterboro Airport","Teterboro","United States","TEB","KTEB",40.85010147089999,-74.060798645,9,-5,"A","America/New_York","airport","OurAirports" 3625,"Ellsworth Air Force Base","Rapid City","United States","RCA","KRCA",44.14500046,-103.1039963,3276,-7,"A","America/Denver","airport","OurAirports" 3626,"Raleigh Durham International Airport","Raleigh-durham","United States","RDU","KRDU",35.877601623535156,-78.7874984741211,435,-5,"A","America/New_York","airport","OurAirports" 3627,"James M Cox Dayton International Airport","Dayton","United States","DAY","KDAY",39.902400970458984,-84.21939849853516,1009,-5,"A","America/New_York","airport","OurAirports" 3628,"Kenai Municipal Airport","Kenai","United States","ENA","PAEN",60.57310104370117,-151.2449951171875,99,-9,"A","America/Anchorage","airport","OurAirports" 3629,"Mc Alester Regional Airport","Mcalester","United States","MLC","KMLC",34.882401,-95.783501,770,-6,"A","America/Chicago","airport","OurAirports" 3630,"Niagara Falls International Airport","Niagara Falls","United States","IAG","KIAG",43.1072998046875,-78.94619750976562,589,-5,"A","America/New_York","airport","OurAirports" 3631,"Coulter Field","Bryan","United States","CFD","KCFD",30.715700149499998,-96.3313980103,367,-6,"A","America/Chicago","airport","OurAirports" 3632,"Wright AAF (Fort Stewart)/Midcoast Regional Airport","Wright","United States","LIY","KLHW",31.889099,-81.562303,45,-5,"A","America/New_York","airport","OurAirports" 3633,"Newport News Williamsburg International Airport","Newport News","United States","PHF","KPHF",37.13190079,-76.49299622,42,-5,"A","America/New_York","airport","OurAirports" 3634,"Esler Regional Airport","Alexandria","United States","ESF","KESF",31.3948993683,-92.2957992554,112,-6,"A","America/Chicago","airport","OurAirports" 3635,"Altus Air Force Base","Altus","United States","LTS","KLTS",34.667098999,-99.2667007446,1382,-6,"A","America/Chicago","airport","OurAirports" 3636,"Tucson International Airport","Tucson","United States","TUS","KTUS",32.1161003112793,-110.94100189208984,2643,-7,"N","America/Phoenix","airport","OurAirports" 3637,"Minot Air Force Base","Minot","United States","MIB","KMIB",48.4156,-101.358002,1667,-6,"A","America/Chicago","airport","OurAirports" 3638,"Beale Air Force Base","Marysville","United States","BAB","KBAB",39.136100769,-121.43699646,113,-8,"A","America/Los_Angeles","airport","OurAirports" 3639,"Greater Kankakee Airport","Kankakee","United States","IKK","KIKK",41.07139968869999,-87.8462982178,630,-6,"A","America/Chicago","airport","OurAirports" 3640,"Seymour Johnson Air Force Base","Goldsboro","United States","GSB","KGSB",35.33940125,-77.96060181,109,-5,"A","America/New_York","airport","OurAirports" 3641,"Theodore Francis Green State Airport","Providence","United States","PVD","KPVD",41.732601,-71.420403,55,-5,"A","America/New_York","airport","OurAirports" 3642,"Salisbury Ocean City Wicomico Regional Airport","Salisbury","United States","SBY","KSBY",38.34049987792969,-75.51029968261719,52,-5,"A","America/New_York","airport","OurAirports" 3643,"Rancho Murieta Airport","Rancho Murieta","United States",\N,"KRIU",38.48680114746094,-121.10299682617188,141,-8,"A","America/Los_Angeles","airport","OurAirports" 3644,"Bob Hope Airport","Burbank","United States","BUR","KBUR",34.20069885253906,-118.35900115966797,778,-8,"A","America/Los_Angeles","airport","OurAirports" 3645,"Detroit Metropolitan Wayne County Airport","Detroit","United States","DTW","KDTW",42.212398529052734,-83.35340118408203,645,-5,"A","America/New_York","airport","OurAirports" 3646,"Tampa International Airport","Tampa","United States","TPA","KTPA",27.975500106811523,-82.533203125,26,-5,"A","America/New_York","airport","OurAirports" 3647,"Pembina Municipal Airport","Pembina","United States","PMB","KPMB",48.9425010681,-97.2407989502,795,-6,"A","America/Chicago","airport","OurAirports" 3648,"Polk Army Air Field","Fort Polk","United States","POE","KPOE",31.0447998,-93.1917038,330,-6,"A","America/Chicago","airport","OurAirports" 3649,"Eielson Air Force Base","Fairbanks","United States","EIL","PAEI",64.66570282,-147.102005,547,-9,"A","America/Anchorage","airport","OurAirports" 3650,"Range Regional Airport","Hibbing","United States","HIB","KHIB",47.38660049,-92.83899689,1354,-6,"A","America/Chicago","airport","OurAirports" 3651,"Angelina County Airport","Lufkin","United States","LFK","KLFK",31.2339992523,-94.75,296,-6,"A","America/Chicago","airport","OurAirports" 3652,"Midland International Airport","Midland","United States","MAF","KMAF",31.9424991607666,-102.2020034790039,2871,-6,"A","America/Chicago","airport","OurAirports" 3653,"Austin Straubel International Airport","Green Bay","United States","GRB","KGRB",44.48509979248047,-88.12960052490234,695,-6,"A","America/Chicago","airport","OurAirports" 3654,"Ardmore Municipal Airport","Ardmore","United States","ADM","KADM",34.30301,-97.0196342,777,-6,"A","America/Chicago","airport","OurAirports" 3655,"Mc Guire Air Force Base","Wrightstown","United States","WRI","KWRI",40.0155983,-74.59169769,131,-5,"A","America/New_York","airport","OurAirports" 3656,"Cherry Point MCAS /Cunningham Field/","Cherry Point","United States",\N,"KNKT",34.90090179,-76.88069916,29,-5,"A","America/New_York","airport","OurAirports" 3657,"Emanuel County Airport","Santa Barbara","United States",\N,"KSBO",32.609100341796875,-82.36990356445312,327,-5,"A","America/New_York","airport","OurAirports" 3658,"Augusta Regional At Bush Field","Bush Field","United States","AGS","KAGS",33.36989974975586,-81.9645004272461,144,-5,"A","America/New_York","airport","OurAirports" 3659,"Sloulin Field International Airport","Williston","United States","ISN","KISN",48.177898407,-103.641998291,1982,-6,"A","America/Chicago","airport","OurAirports" 3660,"Bill & Hillary Clinton National Airport/Adams Field","Little Rock","United States","LIT","KLIT",34.729400634799994,-92.2242965698,262,-6,"A","America/Chicago","airport","OurAirports" 3661,"Stewart International Airport","Newburgh","United States","SWF","KSWF",41.50410079956055,-74.10479736328125,491,-5,"A","America/New_York","airport","OurAirports" 3662,"Baudette International Airport","Baudette","United States","BDE","KBDE",48.7284011841,-94.612197876,1086,-6,"A","America/Chicago","airport","OurAirports" 3663,"Sacramento Executive Airport","Sacramento","United States","SAC","KSAC",38.5125007629,-121.492996216,24,-8,"A","America/Los_Angeles","airport","OurAirports" 3664,"Homer Airport","Homer","United States","HOM","PAHO",59.645599365234375,-151.4770050048828,84,-9,"A","America/Anchorage","airport","OurAirports" 3665,"Waynesville-St. Robert Regional Forney field","Fort Leonardwood","United States","TBN","KTBN",37.74160004,-92.14070129,1159,-6,"A","America/Chicago","airport","OurAirports" 3666,"Dobbins Air Reserve Base","Marietta","United States","MGE","KMGE",33.91540146,-84.51629639,1068,-5,"A","America/New_York","airport","OurAirports" 3667,"Fairchild Air Force Base","Spokane","United States","SKA","KSKA",47.6151008606,-117.65599823,2461,-8,"A","America/Los_Angeles","airport","OurAirports" 3668,"Roscommon County - Blodgett Memorial Airport","Houghton Lake","United States","HTL","KHTL",44.359798,-84.671095,1150,-5,"A","America/New_York","airport","OurAirports" 3669,"Tyndall Air Force Base","Panama City","United States","PAM","KPAM",30.0695991516,-85.57540130619999,17,-6,"A","America/Chicago","airport","OurAirports" 3670,"Dallas Fort Worth International Airport","Dallas-Fort Worth","United States","DFW","KDFW",32.896801,-97.038002,607,-6,"A","America/Chicago","airport","OurAirports" 3671,"Melbourne International Airport","Melbourne","United States","MLB","KMLB",28.102800369262695,-80.64530181884766,33,-5,"A","America/New_York","airport","OurAirports" 3672,"McChord Air Force Base","Tacoma","United States","TCM","KTCM",47.1376991272,-122.475997925,322,-8,"A","America/Los_Angeles","airport","OurAirports" 3673,"Austin Bergstrom International Airport","Austin","United States","AUS","KAUS",30.194499969482422,-97.6698989868164,542,-6,"A","America/Chicago","airport","OurAirports" 3674,"Rickenbacker International Airport","Columbus","United States","LCK","KLCK",39.813801,-82.927803,744,-5,"A","America/New_York","airport","OurAirports" 3675,"Sawyer International Airport","Gwinn","United States","MQT","KSAW",46.353599548300004,-87.395401001,1221,-5,"A","America/New_York","airport","OurAirports" 3676,"McGhee Tyson Airport","Knoxville","United States","TYS","KTYS",35.81100082,-83.9940033,981,-5,"A","America/New_York","airport","OurAirports" 3677,"Hood Army Air Field","Fort Hood","United States","HLR","KHLR",31.138700485199998,-97.71450042720001,924,-6,"A","America/Chicago","airport","OurAirports" 3678,"St Louis Lambert International Airport","St. Louis","United States","STL","KSTL",38.748697,-90.370003,618,-6,"A","America/Chicago","airport","OurAirports" 3679,"Millville Municipal Airport","Millville","United States","MIV","KMIV",39.367802,-75.072197,85,-5,"A","America/New_York","airport","OurAirports" 3680,"Sheppard Air Force Base-Wichita Falls Municipal Airport","Wichita Falls","United States","SPS","KSPS",33.9888,-98.491898,1019,-6,"A","America/Chicago","airport","OurAirports" 3681,"Cincinnati Municipal Airport Lunken Field","Cincinnati","United States","LUK","KLUK",39.10329819,-84.41860199,483,-5,"A","America/New_York","airport","OurAirports" 3682,"Hartsfield Jackson Atlanta International Airport","Atlanta","United States","ATL","KATL",33.6367,-84.428101,1026,-5,"A","America/New_York","airport","OurAirports" 3683,"Castle Airport","Merced","United States","MER","KMER",37.38050079,-120.5680008,191,-8,"A","America/Los_Angeles","airport","OurAirports" 3684,"Mc Clellan Airfield","Sacramento","United States","MCC","KMCC",38.66759872,-121.401001,77,-8,"A","America/Los_Angeles","airport","OurAirports" 3685,"Gerald R. Ford International Airport","Grand Rapids","United States","GRR","KGRR",42.88079834,-85.52279663,794,-5,"A","America/New_York","airport","OurAirports" 3686,"Winkler County Airport","Wink","United States","INK","KINK",31.779600143399996,-103.200996399,2822,-6,"A","America/Chicago","airport","OurAirports" 3687,"Fresno Yosemite International Airport","Fresno","United States","FAT","KFAT",36.77619934082031,-119.71800231933594,336,-8,"A","America/Los_Angeles","airport","OurAirports" 3688,"Vero Beach Regional Airport","Vero Beach","United States","VRB","KVRB",27.6556,-80.417901,24,-5,"A","America/New_York","airport","OurAirports" 3689,"Imperial County Airport","Imperial","United States","IPL","KIPL",32.834201812699995,-115.57900238,-54,-8,"A","America/Los_Angeles","airport","OurAirports" 3690,"Nashville International Airport","Nashville","United States","BNA","KBNA",36.1245002746582,-86.6781997680664,599,-6,"A","America/Chicago","airport","OurAirports" 3691,"Laredo International Airport","Laredo","United States","LRD","KLRD",27.543800354003906,-99.46160125732422,508,-6,"A","America/Chicago","airport","OurAirports" 3692,"Elmendorf Air Force Base","Anchorage","United States","EDF","PAED",61.250999450683594,-149.8070068359375,212,-9,"A","America/Anchorage","airport","OurAirports" 3693,"Ralph Wien Memorial Airport","Kotzebue","United States","OTZ","PAOT",66.88469696,-162.598999,14,-9,"A","America/Anchorage","airport","OurAirports" 3694,"Altoona Blair County Airport","Altoona","United States","AOO","KAOO",40.29639816,-78.31999969,1503,-5,"A","America/New_York","airport","OurAirports" 3695,"Dyess Air Force Base","Abilene","United States","DYS","KDYS",32.4207992554,-99.854598999,1789,-6,"A","America/Chicago","airport","OurAirports" 3696,"South Arkansas Regional At Goodwin Field","El Dorado","United States","ELD","KELD",33.22100067138672,-92.81330108642578,277,-6,"A","America/Chicago","airport","OurAirports" 3697,"La Guardia Airport","New York","United States","LGA","KLGA",40.77719879,-73.87259674,21,-5,"A","America/New_York","airport","OurAirports" 3698,"Tallahassee Regional Airport","Tallahassee","United States","TLH","KTLH",30.396499633789062,-84.35030364990234,81,-5,"A","America/New_York","airport","OurAirports" 3699,"Dupage Airport","West Chicago","United States","DPA","KDPA",41.90779877,-88.24859619,759,-6,"A","America/Chicago","airport","OurAirports" 3700,"Waco Regional Airport","Waco","United States","ACT","KACT",31.611299514770508,-97.23049926757812,516,-6,"A","America/Chicago","airport","OurAirports" 3701,"Augusta State Airport","Augusta","United States","AUG","KAUG",44.320598602299995,-69.7973022461,352,-5,"A","America/New_York","airport","OurAirports" 3702,"Hillsboro Municipal Airport","Hillsboro","United States",\N,"KINJ",32.08349991,-97.09719849,686,-6,"A","America/Chicago","airport","OurAirports" 3703,"Jacksonville Naval Air Station (Towers Field)","Jacksonville","United States","NIP","KNIP",30.2358,-81.680603,21,-5,"A","America/New_York","airport","OurAirports" 3704,"McKellar-Sipes Regional Airport","Jackson","United States","MKL","KMKL",35.599899,-88.915604,434,-6,"A","America/Chicago","airport","OurAirports" 3705,"Molokai Airport","Molokai","United States","MKK","PHMK",21.15290069580078,-157.0959930419922,454,-10,"N","Pacific/Honolulu","airport","OurAirports" 3706,"Godman Army Air Field","Fort Knox","United States","FTK","KFTK",37.907100677500004,-85.9720993042,756,-5,"A","America/New_York","airport","OurAirports" 3707,"New River MCAS /H/ /Mccutcheon Fld/ Airport","Jacksonville","United States",\N,"KNCA",34.70840073,-77.43969727,26,-5,"A","America/New_York","airport","OurAirports" 3708,"San Angelo Regional Mathis Field","San Angelo","United States","SJT","KSJT",31.35770034790039,-100.49600219726562,1919,-6,"A","America/Chicago","airport","OurAirports" 3709,"Calexico International Airport","Calexico","United States","CXL","KCXL",32.6694984436,-115.513000488,4,-8,"A","America/Los_Angeles","airport","OurAirports" 3710,"Chico Municipal Airport","Chico","United States","CIC","KCIC",39.79539871,-121.8580017,240,-8,"A","America/Los_Angeles","airport","OurAirports" 3711,"Burlington International Airport","Burlington","United States","BTV","KBTV",44.471900939899996,-73.15329742429999,335,-5,"A","America/New_York","airport","OurAirports" 3712,"Jacksonville International Airport","Jacksonville","United States","JAX","KJAX",30.49410057067871,-81.68789672851562,30,-5,"A","America/New_York","airport","OurAirports" 3713,"Durango La Plata County Airport","Durango","United States","DRO","KDRO",37.1515007019,-107.753997803,6685,-7,"A","America/Denver","airport","OurAirports" 3714,"Washington Dulles International Airport","Washington","United States","IAD","KIAD",38.94449997,-77.45580292,312,-5,"A","America/New_York","airport","OurAirports" 3715,"Easterwood Field","College Station","United States","CLL","KCLL",30.58860016,-96.36380005,320,-6,"A","America/Chicago","airport","OurAirports" 3716,"Felts Field","Spokane","United States","SFF","KSFF",47.682800292969,-117.32299804688,1953,-8,"A","America/Los_Angeles","airport","OurAirports" 3717,"General Mitchell International Airport","Milwaukee","United States","MKE","KMKE",42.947200775146484,-87.89659881591797,723,-6,"A","America/Chicago","airport","OurAirports" 3718,"Abilene Regional Airport","Abilene","United States","ABI","KABI",32.4113006592,-99.68190002440001,1791,-6,"A","America/Chicago","airport","OurAirports" 3719,"Columbia Regional Airport","Columbia","United States","COU","KCOU",38.81809997558594,-92.21959686279297,889,-6,"A","America/Chicago","airport","OurAirports" 3720,"Portland International Airport","Portland","United States","PDX","KPDX",45.58869934,-122.5979996,31,-8,"A","America/Los_Angeles","airport","OurAirports" 3721,"Dade Collier Training and Transition Airport","Miami","United States","TNT","KTNT",25.861799240112,-80.897003173828,13,-5,"A","America/New_York","airport","OurAirports" 3722,"Palm Beach International Airport","West Palm Beach","United States","PBI","KPBI",26.68320083618164,-80.09559631347656,19,-5,"A","America/New_York","airport","OurAirports" 3723,"Fort Worth Meacham International Airport","Fort Worth","United States","FTW","KFTW",32.819801,-97.362396,710,-6,"A","America/Chicago","airport","OurAirports" 3724,"Ogdensburg International Airport","Ogdensburg","United States","OGS","KOGS",44.6819000244,-75.46549987790002,297,-5,"A","America/New_York","airport","OurAirports" 3725,"Cape Cod Coast Guard Air Station","Falmouth","United States","FMH","KFMH",41.6584014893,-70.5214004517,131,-5,"A","America/New_York","airport","OurAirports" 3726,"Boeing Field King County International Airport","Seattle","United States","BFI","KBFI",47.529998779296875,-122.302001953125,21,-8,"A","America/Los_Angeles","airport","OurAirports" 3727,"Lackland Air Force Base","San Antonio","United States","SKF","KSKF",29.38419914,-98.58110046,691,-6,"A","America/Chicago","airport","OurAirports" 3728,"Daniel K Inouye International Airport","Honolulu","United States","HNL","PHNL",21.32062,-157.924228,13,-10,"N","Pacific/Honolulu","airport","OurAirports" 3729,"Des Moines International Airport","Des Moines","United States","DSM","KDSM",41.534000396728516,-93.66310119628906,958,-6,"A","America/Chicago","airport","OurAirports" 3730,"Coastal Carolina Regional Airport","New Bern","United States","EWN","KEWN",35.0730018616,-77.04290008539999,18,-5,"A","America/New_York","airport","OurAirports" 3731,"San Diego International Airport","San Diego","United States","SAN","KSAN",32.7336006165,-117.190002441,17,-8,"A","America/Los_Angeles","airport","OurAirports" 3732,"Monroe Regional Airport","Monroe","United States","MLU","KMLU",32.51089859008789,-92.0376968383789,79,-6,"A","America/Chicago","airport","OurAirports" 3733,"Shaw Air Force Base","Sumter","United States","SSC","KSSC",33.97269821,-80.47059631,241,-5,"A","America/New_York","airport","OurAirports" 3734,"Ontario International Airport","Ontario","United States","ONT","KONT",34.055999755859375,-117.60099792480469,944,-8,"A","America/Los_Angeles","airport","OurAirports" 3735,"Majors Airport","Greenvile","United States","GVT","KGVT",33.0677986145,-96.0652999878,535,-6,"A","America/Chicago","airport","OurAirports" 3736,"Roswell International Air Center Airport","Roswell","United States","ROW","KROW",33.30160140991211,-104.53099822998047,3671,-7,"A","America/Denver","airport","OurAirports" 3737,"Coleman A. Young Municipal Airport","Detroit","United States","DET","KDET",42.40919876,-83.00990295,626,-5,"A","America/New_York","airport","OurAirports" 3738,"Brownsville South Padre Island International Airport","Brownsville","United States","BRO","KBRO",25.90679931640625,-97.4259033203125,22,-6,"A","America/Chicago","airport","OurAirports" 3739,"Dothan Regional Airport","Dothan","United States","DHN","KDHN",31.321300506591797,-85.44960021972656,401,-6,"A","America/Chicago","airport","OurAirports" 3740,"Cape May County Airport","Wildwood","United States","WWD","KWWD",39.008499145500004,-74.9083023071,23,-5,"A","America/New_York","airport","OurAirports" 3741,"Fallon Naval Air Station","Fallon","United States","NFL","KNFL",39.41659927,-118.7009964,3934,-8,"A","America/Los_Angeles","airport","OurAirports" 3742,"Selfridge Air National Guard Base Airport","Mount Clemens","United States","MTC","KMTC",42.613463,-82.836919,580,-5,"A","America/New_York","airport","OurAirports" 3743,"Four Corners Regional Airport","Farmington","United States","FMN","KFMN",36.741199493399996,-108.230003357,5506,-7,"A","America/Denver","airport","OurAirports" 3744,"Corpus Christi International Airport","Corpus Christi","United States","CRP","KCRP",27.77039909362793,-97.5011978149414,44,-6,"A","America/Chicago","airport","OurAirports" 3745,"Syracuse Hancock International Airport","Syracuse","United States","SYR","KSYR",43.11119842529297,-76.1063003540039,421,-5,"A","America/New_York","airport","OurAirports" 3746,"Naval Air Station Key West/Boca Chica Field","Key West","United States","NQX","KNQX",24.57579994,-81.68890381,6,-5,"A","America/New_York","airport","OurAirports" 3747,"Chicago Midway International Airport","Chicago","United States","MDW","KMDW",41.785999,-87.752403,620,-6,"A","America/Chicago","airport","OurAirports" 3748,"Norman Y. Mineta San Jose International Airport","San Jose","United States","SJC","KSJC",37.362598,-121.929001,62,-8,"A","America/Los_Angeles","airport","OurAirports" 3749,"Lea County Regional Airport","Hobbs","United States","HOB","KHOB",32.6875,-103.2170029,3661,-7,"A","America/Denver","airport","OurAirports" 3750,"Northeast Philadelphia Airport","Philadelphia","United States","PNE","KPNE",40.081902,-75.010597,120,-5,"A","America/New_York","airport","OurAirports" 3751,"Denver International Airport","Denver","United States","DEN","KDEN",39.861698150635,-104.672996521,5431,-7,"A","America/Denver","airport","OurAirports" 3752,"Philadelphia International Airport","Philadelphia","United States","PHL","KPHL",39.87189865112305,-75.24109649658203,36,-5,"A","America/New_York","airport","OurAirports" 3753,"Sioux Gateway Col. Bud Day Field","Sioux City","United States","SUX","KSUX",42.40259933,-96.38439941,1098,-6,"A","America/Chicago","airport","OurAirports" 3754,"Middle Georgia Regional Airport","Macon","United States","MCN","KMCN",32.69279861450195,-83.64920043945312,354,-5,"A","America/New_York","airport","OurAirports" 3755,"Truth Or Consequences Municipal Airport","Truth Or Consequences","United States","TCS","KTCS",33.2369003296,-107.272003174,4853,-7,"A","America/Denver","airport","OurAirports" 3756,"Palmdale Regional/USAF Plant 42 Airport","Palmdale","United States","PMD","KPMD",34.62939835,-118.0849991,2543,-8,"A","America/Los_Angeles","airport","OurAirports" 3757,"Randolph Air Force Base","San Antonio","United States","RND","KRND",29.52969933,-98.27890015,761,-6,"A","America/Chicago","airport","OurAirports" 3758,"El Centro NAF Airport (Vraciu Field)","El Centro","United States","NJK","KNJK",32.829201,-115.671996,-42,-8,"A","America/Los_Angeles","airport","OurAirports" 3759,"John Glenn Columbus International Airport","Columbus","United States","CMH","KCMH",39.998001,-82.891899,815,-5,"A","America/New_York","airport","OurAirports" 3760,"Drake Field","Fayetteville","United States","FYV","KFYV",36.00510025024414,-94.17009735107422,1251,-6,"A","America/Chicago","airport","OurAirports" 3761,"Henry Post Army Air Field (Fort Sill)","Fort Sill","United States","FSI","KFSI",34.64979935,-98.40219879,1189,-6,"A","America/Chicago","airport","OurAirports" 3762,"Princeton Municipal Airport","Princeton","United States",\N,"KPNM",45.55989838,-93.60820007,980,-6,"A","America/Chicago","airport","OurAirports" 3763,"Wright-Patterson Air Force Base","Dayton","United States","FFO","KFFO",39.8260993958,-84.0483016968,823,-5,"A","America/New_York","airport","OurAirports" 3764,"Edward G. Pitka Sr Airport","Galena","United States","GAL","PAGA",64.73619843,-156.9369965,153,-9,"A","America/Anchorage","airport","OurAirports" 3765,"Chandler Municipal Airport","Chandler","United States",\N,"KCHD",33.2691,-111.810997,1243,-7,"A","America/Phoenix","airport","OurAirports" 3766,"Mineral Wells Airport","Mineral Wells","United States","MWL","KMWL",32.7816009521,-98.0602035522,974,-6,"A","America/Chicago","airport","OurAirports" 3767,"Mc Connell Air Force Base","Wichita","United States","IAB","KIAB",37.62189865,-97.26820374,1371,-6,"A","America/Chicago","airport","OurAirports" 3768,"New Orleans NAS JRB/Alvin Callender Field","New Orleans","United States","NBG","KNBG",29.82530022,-90.03500366,2,-6,"A","America/Chicago","airport","OurAirports" 3769,"Beaufort County Airport","Beaufort","United States","BFT","KARW",32.4122009277,-80.6343994141,10,-5,"A","America/New_York","airport","OurAirports" 3770,"Texarkana Regional Webb Field","Texarkana","United States","TXK","KTXK",33.45370101928711,-93.99099731445312,390,-6,"A","America/Chicago","airport","OurAirports" 3771,"Plattsburgh International Airport","Plattsburgh","United States","PBG","KPBG",44.650901794433594,-73.46810150146484,234,-5,"A","America/New_York","airport","OurAirports" 3772,"Phillips Army Air Field","Aberdeen","United States","APG","KAPG",39.466202,-76.1688,57,-5,"A","America/New_York","airport","OurAirports" 3773,"Tucumcari Municipal Airport","Tucumcari","United States","TCC","KTCC",35.182800293,-103.602996826,4065,-7,"A","America/Denver","airport","OurAirports" 3774,"Ted Stevens Anchorage International Airport","Anchorage","United States","ANC","PANC",61.174400329589844,-149.99600219726562,152,-9,"A","America/Anchorage","airport","OurAirports" 3775,"Robert Gray Army Air Field Airport","Killeen","United States","GRK","KGRK",31.067199707,-97.82890319820001,1015,-6,"A","America/Chicago","airport","OurAirports" 3776,"Black Rock Airport","Zuni Pueblo","United States",\N,"KZUN",35.08319854736328,-108.79199981689453,6454,-7,"A","America/Denver","airport","OurAirports" 3777,"Bellingham International Airport","Bellingham","United States","BLI","KBLI",48.79280090332031,-122.53800201416016,170,-8,"A","America/Los_Angeles","airport","OurAirports" 3778,"Millington-Memphis Airport","Millington","United States","NQA","KNQA",35.356701,-89.8703,320,-6,"A","America/Chicago","airport","OurAirports" 3779,"Elkins-Randolph Co-Jennings Randolph Field","Elkins","United States","EKN","KEKN",38.88940048,-79.85710144,1987,-5,"A","America/New_York","airport","OurAirports" 3780,"Hartford Brainard Airport","Hartford","United States","HFD","KHFD",41.736698150635,-72.649398803711,18,-5,"A","America/New_York","airport","OurAirports" 3781,"North Central State Airport","Smithfield","United States","SFZ","KSFZ",41.9207992554,-71.49140167239999,441,-5,"A","America/New_York","airport","OurAirports" 3782,"Mobile Regional Airport","Mobile","United States","MOB","KMOB",30.691200256348,-88.242797851562,219,-6,"A","America/Chicago","airport","OurAirports" 3783,"Moffett Federal Airfield","Mountain View","United States","NUQ","KNUQ",37.4161,-122.049004,32,-8,"A","America/Los_Angeles","airport","OurAirports" 3784,"Santa Fe Municipal Airport","Santa Fe","United States","SAF","KSAF",35.617099762,-106.088996887,6348,-7,"A","America/Denver","airport","OurAirports" 3785,"Barking Sands Airport","Barking Sands","United States","BKH","PHBK",22.022800445599998,-159.785003662,23,-10,"A","Pacific/Honolulu","airport","OurAirports" 3786,"Beauregard Regional Airport","Deridder","United States","DRI","KDRI",30.8316993713,-93.33989715579999,202,-6,"A","America/Chicago","airport","OurAirports" 3787,"Bradshaw Army Airfield","Bradshaw Field","United States","BSF","PHSF",19.760099411,-155.554000854,6190,-10,"A","Pacific/Honolulu","airport","OurAirports" 3788,"Nogales International Airport","Nogales","United States","OLS","KOLS",31.4177,-110.848,3955,-7,"A","America/Phoenix","airport","OurAirports" 3789,"Mac Dill Air Force Base","Tampa","United States","MCF","KMCF",27.84930038,-82.52120209,14,-5,"A","America/New_York","airport","OurAirports" 3790,"Scott AFB/Midamerica Airport","Belleville","United States","BLV","KBLV",38.5452,-89.835197,459,-6,"A","America/Chicago","airport","OurAirports" 3791,"Opa-locka Executive Airport","Miami","United States","OPF","KOPF",25.907,-80.278397,8,-5,"A","America/New_York","airport","OurAirports" 3792,"Del Rio International Airport","Del Rio","United States","DRT","KDRT",29.3742008209,-100.927001953,1002,-6,"A","America/Chicago","airport","OurAirports" 3793,"Southwest Florida International Airport","Fort Myers","United States","RSW","KRSW",26.53619956970215,-81.75520324707031,30,-5,"A","America/New_York","airport","OurAirports" 3794,"King Salmon Airport","King Salmon","United States","AKN","PAKN",58.67679977,-156.6490021,73,-9,"A","America/Anchorage","airport","OurAirports" 3795,"Muir Army Air Field (Fort Indiantown Gap) Airport","Muir","United States","MUI","KMUI",40.434799,-76.569397,488,-5,"A","America/New_York","airport","OurAirports" 3796,"Kapalua Airport","Lahania-kapalua","United States","JHM","PHJH",20.962900161743164,-156.67300415039062,256,-10,"N","Pacific/Honolulu","airport","OurAirports" 3797,"John F Kennedy International Airport","New York","United States","JFK","KJFK",40.63980103,-73.77890015,13,-5,"A","America/New_York","airport","OurAirports" 3798,"Homestead ARB Airport","Homestead","United States","HST","KHST",25.48859978,-80.38359833,5,-5,"A","America/New_York","airport","OurAirports" 3799,"Riverside Municipal Airport","Riverside","United States","RAL","KRAL",33.95190048,-117.4449997,819,-8,"A","America/Los_Angeles","airport","OurAirports" 3800,"Sherman Army Air Field","Fort Leavenworth","United States","FLV","KFLV",39.3683013916,-94.9147033691,772,-6,"A","America/Chicago","airport","OurAirports" 3801,"Wallops Flight Facility Airport","Wallops Island","United States","WAL","KWAL",37.9402008057,-75.4664001465,40,-5,"A","America/New_York","airport","OurAirports" 3802,"Holloman Air Force Base","Alamogordo","United States","HMN","KHMN",32.8525009155,-106.107002258,4093,-7,"A","America/Denver","airport","OurAirports" 3803,"Willow Grove Naval Air Station/Joint Reserve Base","Willow Grove","United States","NXX","KNXX",40.19979858,-75.14820099,358,-5,"A","America/New_York","airport","OurAirports" 3804,"Cheyenne Regional Jerry Olson Field","Cheyenne","United States","CYS","KCYS",41.15570068,-104.8119965,6159,-7,"A","America/Denver","airport","OurAirports" 3805,"Stockton Metropolitan Airport","Stockton","United States","SCK","KSCK",37.894199371338,-121.2379989624,33,-8,"A","America/Los_Angeles","airport","OurAirports" 3806,"Charleston Air Force Base-International Airport","Charleston","United States","CHS","KCHS",32.89860153,-80.04049683,46,-5,"A","America/New_York","airport","OurAirports" 3807,"Reno Tahoe International Airport","Reno","United States","RNO","KRNO",39.49909973144531,-119.76799774169922,4415,-8,"A","America/Los_Angeles","airport","OurAirports" 3808,"Ketchikan International Airport","Ketchikan","United States","KTN","PAKT",55.35559845,-131.7140045,89,-9,"A","America/Anchorage","airport","OurAirports" 3809,"Willow Run Airport","Detroit","United States","YIP","KYIP",42.23789978,-83.53040314,716,-5,"A","America/New_York","airport","OurAirports" 3810,"Vandenberg Air Force Base","Lompoc","United States","VBG","KVBG",34.7373008728,-120.583999634,369,-8,"A","America/Los_Angeles","airport","OurAirports" 3811,"Birmingham-Shuttlesworth International Airport","Birmingham","United States","BHM","KBHM",33.56290054,-86.75350189,650,-6,"A","America/Chicago","airport","OurAirports" 3812,"Lakehurst Maxfield Field Airport","Lakehurst","United States","NEL","KNEL",40.03329849,-74.353302,101,-5,"A","America/New_York","airport","OurAirports" 3813,"Eareckson Air Station","Shemya","United States","SYA","PASY",52.71229935,174.1139984,95,-10,"A","America/Adak","airport","OurAirports" 3814,"Nellis Air Force Base","Las Vegas","United States","LSV","KLSV",36.2361984253,-115.033996582,1870,-8,"A","America/Los_Angeles","airport","OurAirports" 3815,"March ARB Airport","Riverside","United States","RIV","KRIV",33.880699,-117.259003,1536,-8,"A","America/Los_Angeles","airport","OurAirports" 3816,"Modesto City Co-Harry Sham Field","Modesto","United States","MOD","KMOD",37.62580109,-120.9540024,97,-8,"A","America/Los_Angeles","airport","OurAirports" 3817,"Sacramento International Airport","Sacramento","United States","SMF","KSMF",38.69540023803711,-121.59100341796875,27,-8,"A","America/Los_Angeles","airport","OurAirports" 3818,"Waukegan National Airport","Chicago","United States","UGN","KUGN",42.422199249268,-87.867897033691,727,-6,"A","America/Chicago","airport","OurAirports" 3819,"City of Colorado Springs Municipal Airport","Colorado Springs","United States","COS","KCOS",38.805801,-104.700996,6187,-7,"A","America/Denver","airport","OurAirports" 3820,"Buffalo Niagara International Airport","Buffalo","United States","BUF","KBUF",42.94049835,-78.73220062,728,-5,"A","America/New_York","airport","OurAirports" 3821,"Griffing Sandusky Airport","Sandusky","United States","SKY","KSKY",41.4333992004,-82.6522979736,580,-5,"A","America/New_York","airport","OurAirports" 3822,"Snohomish County (Paine Field) Airport","Everett","United States","PAE","KPAE",47.90629959,-122.2819977,606,-8,"A","America/Los_Angeles","airport","OurAirports" 3823,"Mountain Home Air Force Base","Mountain Home","United States","MUO","KMUO",43.043598,-115.872002,2996,-7,"A","America/Denver","airport","OurAirports" 3824,"Cedar City Regional Airport","Cedar City","United States","CDC","KCDC",37.70100021362305,-113.0989990234375,5622,-7,"A","America/Denver","airport","OurAirports" 3825,"Bradley International Airport","Windsor Locks","United States","BDL","KBDL",41.9388999939,-72.68319702149999,173,-5,"A","America/New_York","airport","OurAirports" 3826,"Mc Allen Miller International Airport","Mcallen","United States","MFE","KMFE",26.17580032,-98.23860168,107,-6,"A","America/Chicago","airport","OurAirports" 3827,"Norfolk Naval Station (Chambers Field)","Norfolk","United States","NGU","KNGU",36.937599,-76.289299,17,-5,"A","America/New_York","airport","OurAirports" 3828,"Westover ARB/Metropolitan Airport","Chicopee Falls","United States","CEF","KCEF",42.19400024,-72.53479767,241,-5,"A","America/New_York","airport","OurAirports" 3829,"Lubbock Preston Smith International Airport","Lubbock","United States","LBB","KLBB",33.663601,-101.822998,3282,-6,"A","America/Chicago","airport","OurAirports" 3830,"Chicago O'Hare International Airport","Chicago","United States","ORD","KORD",41.9786,-87.9048,672,-6,"A","America/Chicago","airport","OurAirports" 3831,"Boca Raton Airport","Boca Raton","United States","BCT","KBCT",26.3784999847,-80.1076965332,13,-5,"A","America/New_York","airport","OurAirports" 3832,"Fairbanks International Airport","Fairbanks","United States","FAI","PAFA",64.81510162,-147.8560028,439,-9,"A","America/Anchorage","airport","OurAirports" 3833,"Quantico MCAF /Turner field","Quantico","United States",\N,"KNYG",38.50170135,-77.30529785,10,-5,"A","America/New_York","airport","OurAirports" 3834,"Cannon Air Force Base","Clovis","United States","CVS","KCVS",34.3828010559,-103.321998596,4295,-7,"A","America/Denver","airport","OurAirports" 3835,"Kaneohe Bay MCAS (Marion E. Carl Field) Airport","Kaneohe Bay","United States","NGF","PHNG",21.4505004883,-157.768005371,24,-10,"A","Pacific/Honolulu","airport","OurAirports" 3836,"Offutt Air Force Base","Omaha","United States","OFF","KOFF",41.118301391602,-95.912498474121,1052,-6,"A","America/Chicago","airport","OurAirports" 3837,"Gulkana Airport","Gulkana","United States","GKN","PAGK",62.1548996,-145.4570007,1586,-9,"A","America/Anchorage","airport","OurAirports" 3838,"Watertown International Airport","Watertown","United States","ART","KART",43.99190139770508,-76.02169799804688,325,-5,"A","America/New_York","airport","OurAirports" 3839,"Palm Springs International Airport","Palm Springs","United States","PSP","KPSP",33.8297004699707,-116.50700378417969,477,-8,"A","America/Los_Angeles","airport","OurAirports" 3840,"Rick Husband Amarillo International Airport","Amarillo","United States","AMA","KAMA",35.219398,-101.706001,3607,-6,"A","America/Chicago","airport","OurAirports" 3841,"Fort Dodge Regional Airport","Fort Dodge","United States","FOD","KFOD",42.55149841,-94.19259644,1156,-6,"A","America/Chicago","airport","OurAirports" 3842,"Barksdale Air Force Base","Shreveport","United States","BAD","KBAD",32.5018005371,-93.6626968384,166,-6,"A","America/Chicago","airport","OurAirports" 3843,"Topeka Regional Airport - Forbes Field","Topeka","United States","FOE","KFOE",38.950901031499995,-95.66359710690001,1078,-6,"A","America/Chicago","airport","OurAirports" 3844,"Cotulla-La Salle County Airport","Cotulla","United States","COT","KCOT",28.45669937,-99.22029877,474,-6,"A","America/Chicago","airport","OurAirports" 3845,"Wilmington International Airport","Wilmington","United States","ILM","KILM",34.270599365234375,-77.90260314941406,32,-5,"A","America/New_York","airport","OurAirports" 3846,"Baton Rouge Metropolitan Airport","Baton Rouge","United States","BTR","KBTR",30.533199,-91.149597,70,-6,"A","America/Chicago","airport","OurAirports" 3847,"Meridian Naval Air Station","Meridian","United States",\N,"KNMM",32.55210114,-88.55560303,316,-6,"A","America/Chicago","airport","OurAirports" 3848,"Tyler Pounds Regional Airport","Tyler","United States","TYR","KTYR",32.35409927368164,-95.40239715576172,544,-6,"A","America/Chicago","airport","OurAirports" 3849,"Baltimore/Washington International Thurgood Marshall Airport","Baltimore","United States","BWI","KBWI",39.1754,-76.668297,146,-5,"A","America/New_York","airport","OurAirports" 3850,"Hobart Regional Airport","Hobart","United States","HBR","KHBR",34.991317,-99.051313,1563,-6,"A","America/Chicago","airport","OurAirports" 3851,"Lanai Airport","Lanai","United States","LNY","PHNY",20.785600662231445,-156.9510040283203,1308,-10,"N","Pacific/Honolulu","airport","OurAirports" 3852,"Alexandria International Airport","Alexandria","United States","AEX","KAEX",31.32740020751953,-92.54979705810547,89,-6,"A","America/Chicago","airport","OurAirports" 3853,"Condron Army Air Field","White Sands","United States","WSD","KWSD",32.34149933,-106.4029999,3934,-7,"A","America/Denver","airport","OurAirports" 3854,"Cold Bay Airport","Cold Bay","United States","CDB","PACD",55.20610046386719,-162.72500610351562,96,-9,"A","America/Anchorage","airport","OurAirports" 3855,"Tulsa International Airport","Tulsa","United States","TUL","KTUL",36.19839859008789,-95.88809967041016,677,-6,"A","America/Chicago","airport","OurAirports" 3856,"Sitka Rocky Gutierrez Airport","Sitka","United States","SIT","PASI",57.04710006713867,-135.36199951171875,21,-9,"A","America/Anchorage","airport","OurAirports" 3857,"Long Island Mac Arthur Airport","Islip","United States","ISP","KISP",40.79520035,-73.10019684,99,-5,"A","America/New_York","airport","OurAirports" 3858,"Minneapolis-St Paul International/Wold-Chamberlain Airport","Minneapolis","United States","MSP","KMSP",44.882,-93.221802,841,-6,"A","America/Chicago","airport","OurAirports" 3859,"New Castle Airport","Wilmington","United States","ILG","KILG",39.67869949,-75.60649872,80,-5,"A","America/New_York","airport","OurAirports" 3860,"Unalaska Airport","Unalaska","United States","DUT","PADU",53.900100708,-166.544006348,22,-9,"A","America/Anchorage","airport","OurAirports" 3861,"Louis Armstrong New Orleans International Airport","New Orleans","United States","MSY","KMSY",29.99340057373047,-90.25800323486328,4,-6,"A","America/Chicago","airport","OurAirports" 3862,"Portland International Jetport Airport","Portland","United States","PWM","KPWM",43.64619827,-70.30930328,76,-5,"A","America/New_York","airport","OurAirports" 3863,"Will Rogers World Airport","Oklahoma City","United States","OKC","KOKC",35.39310073852539,-97.60070037841797,1295,-6,"A","America/Chicago","airport","OurAirports" 3864,"Albany International Airport","Albany","United States","ALB","KALB",42.74829864501953,-73.80169677734375,285,-5,"A","America/New_York","airport","OurAirports" 3865,"Valdez Pioneer Field","Valdez","United States","VDZ","PAVD",61.13389969,-146.2480011,121,-9,"A","America/Anchorage","airport","OurAirports" 3866,"Langley Air Force Base","Hampton","United States","LFI","KLFI",37.082901001,-76.360496521,11,-5,"A","America/New_York","airport","OurAirports" 3867,"John Wayne Airport-Orange County Airport","Santa Ana","United States","SNA","KSNA",33.67570114,-117.8679962,56,-8,"A","America/Los_Angeles","airport","OurAirports" 3868,"Columbus Air Force Base","Colombus","United States","CBM","KCBM",33.6437988281,-88.44380187990001,219,-6,"A","America/Chicago","airport","OurAirports" 3869,"Kendall-Tamiami Executive Airport","Kendall-tamiami","United States","TMB","KTMB",25.6478996277,-80.432800293,8,-5,"A","America/New_York","airport","OurAirports" 3870,"Oceana Naval Air Station","Oceana","United States","NTU","KNTU",36.820702,-76.033501,23,-5,"A","America/New_York","airport","OurAirports" 3871,"Grissom Air Reserve Base","Peru","United States","GUS","KGUS",40.648101806599996,-86.1520996094,812,-5,"A","America/New_York","airport","OurAirports" 3872,"Casper-Natrona County International Airport","Casper","United States","CPR","KCPR",42.908001,-106.463997,5350,-7,"A","America/Denver","airport","OurAirports" 3873,"Destin-Ft Walton Beach Airport","Valparaiso","United States","VPS","KVPS",30.4832,-86.525398,87,-6,"A","America/Chicago","airport","OurAirports" 3874,"Craig Field","Selma","United States","SEM","KSEM",32.343898773193,-86.987800598145,166,-6,"A","America/Chicago","airport","OurAirports" 3875,"Key West International Airport","Key West","United States","EYW","KEYW",24.556100845336914,-81.75959777832031,3,-5,"A","America/New_York","airport","OurAirports" 3876,"Charlotte Douglas International Airport","Charlotte","United States","CLT","KCLT",35.2140007019043,-80.94309997558594,748,-5,"A","America/New_York","airport","OurAirports" 3877,"McCarran International Airport","Las Vegas","United States","LAS","KLAS",36.08010101,-115.1520004,2181,-8,"A","America/Los_Angeles","airport","OurAirports" 3878,"Orlando International Airport","Orlando","United States","MCO","KMCO",28.429399490356445,-81.30899810791016,96,-5,"A","America/New_York","airport","OurAirports" 3879,"Florence Regional Airport","Florence","United States","FLO","KFLO",34.18539810180664,-79.7238998413086,146,-5,"A","America/New_York","airport","OurAirports" 3880,"Great Falls International Airport","Great Falls","United States","GTF","KGTF",47.48199844,-111.3710022,3680,-7,"A","America/Denver","airport","OurAirports" 3881,"Youngstown Warren Regional Airport","Youngstown","United States","YNG","KYNG",41.26070023,-80.67910004,1192,-5,"A","America/New_York","airport","OurAirports" 3882,"Ladd AAF Airfield","Fort Wainwright","United States","FBK","PAFB",64.83750153,-147.6139984,454,-9,"A","America/Anchorage","airport","OurAirports" 3883,"Mc Minnville Municipal Airport","Mackminnville","United States",\N,"KMMV",45.19440079,-123.1360016,163,-8,"A","America/Los_Angeles","airport","OurAirports" 3884,"Robins Air Force Base","Macon","United States","WRB","KWRB",32.6400985718,-83.5919036865,294,-5,"A","America/New_York","airport","OurAirports" 3885,"Suvarnabhumi Airport","Bangkok","Thailand","BKK","VTBS",13.681099891662598,100.74700164794922,5,7,"U","Asia/Bangkok","airport","OurAirports" 3886,"Naha Airport","Naha","Indonesia","NAH","WAMH",3.6832098960876465,125.52799987792969,16,8,"N","Asia/Makassar","airport","OurAirports" 3887,"Andi Jemma Airport","Masamba","Indonesia","MXB","WAWM",-2.55803,120.323997,164,8,"N","Asia/Makassar","airport","OurAirports" 3888,"Soroako Airport","Soroako","Indonesia","SQR","WAWS",-2.5311999320983887,121.35800170898438,1388,8,"N","Asia/Makassar","airport","OurAirports" 3889,"Pongtiku Airport","Makale","Indonesia","TTR","WAWT",-3.0447399616241,119.82199859619,2884,8,"N","Asia/Makassar","airport","OurAirports" 3890,"Wolter Monginsidi Airport","Kendari","Indonesia","KDI","WAWW",-4.081610202789307,122.41799926757812,538,8,"N","Asia/Makassar","airport","OurAirports" 3891,"Maimun Saleh Airport","Sabang","Indonesia","SBG","WITB",5.87412977219,95.33969879150001,393,7,"N","Asia/Jakarta","airport","OurAirports" 3892,"Cibeureum Airport","Tasikmalaya","Indonesia","TSY","WICM",-7.346600055690001,108.246002197,1148,7,"N","Asia/Jakarta","airport","OurAirports" 3893,"Iswahyudi Airport","Madiun","Indonesia",\N,"WARI",-7.615769863128662,111.43399810791016,361,7,"N","Asia/Jakarta","airport","OurAirports" 3894,"Abdul Rachman Saleh Airport","Malang","Indonesia","MLG","WARA",-7.926559925079999,112.714996338,1726,7,"N","Asia/Jakarta","airport","OurAirports" 3895,"Budiarto Airport","Tangerang","Indonesia",\N,"WICB",-6.293171,106.57,151,7,"N","Asia/Jakarta","airport","OurAirports" 3896,"Husein Sastranegara International Airport","Bandung","Indonesia","BDO","WICC",-6.900629997253418,107.57599639892578,2436,7,"N","Asia/Jakarta","airport","OurAirports" 3897,"Penggung Airport","Cirebon","Indonesia","CBN","WICD",-6.756140232090001,108.540000916,89,7,"N","Asia/Jakarta","airport","OurAirports" 3898,"Adi Sutjipto International Airport","Yogyakarta","Indonesia","JOG","WARJ",-7.788179874420166,110.43199920654297,350,7,"N","Asia/Jakarta","airport","OurAirports" 3899,"Tunggul Wulung Airport","Cilacap","Indonesia","CXP","WIHL",-7.645060062410001,109.033996582,69,7,"N","Asia/Jakarta","airport","OurAirports" 3900,"Pondok Cabe Air Base","Jakarta","Indonesia","PCB","WIHP",-6.3369598388671875,106.76499938964844,200,7,"N","Asia/Jakarta","airport","OurAirports" 3901,"Achmad Yani Airport","Semarang","Indonesia","SRG","WARS",-6.97273,110.375,10,7,"N","Asia/Jakarta","airport","OurAirports" 3903,"Hang Nadim International Airport","Batam","Indonesia","BTH","WIDD",1.12102997303,104.119003296,126,7,"N","Asia/Jakarta","airport","OurAirports" 3904,"Buluh Tumbang (H A S Hanandjoeddin) Airport","Tanjung Pandan","Indonesia","TJQ","WIOD",-2.74571990967,107.754997253,164,7,"N","Asia/Jakarta","airport","OurAirports" 3905,"Pangkal Pinang (Depati Amir) Airport","Pangkal Pinang","Indonesia","PGK","WIPK",-2.16219997406,106.138999939,109,7,"N","Asia/Jakarta","airport","OurAirports" 3906,"Raja Haji Fisabilillah International Airport","Tanjung Pinang","Indonesia","TNJ","WIDN",0.922683000565,104.531997681,52,7,"N","Asia/Jakarta","airport","OurAirports" 3907,"Dabo Airport","Singkep","Indonesia","SIQ","WIDS",-0.47918900847435,104.5790023803711,95,7,"N","Asia/Jakarta","airport","OurAirports" 3908,"Syamsudin Noor Airport","Banjarmasin","Indonesia","BDJ","WAOO",-3.4423599243164062,114.76300048828125,66,8,"N","Asia/Makassar","airport","OurAirports" 3909,"Batu Licin Airport","Batu Licin","Indonesia","BTW","WAOC",-3.4124100208300003,115.995002747,3,8,"N","Asia/Makassar","airport","OurAirports" 3910,"Iskandar Airport","Pangkalan Bun","Indonesia","PKN","WAOI",-2.70519995689,111.672996521,75,7,"N","Asia/Jakarta","airport","OurAirports" 3911,"Tjilik Riwut Airport","Palangkaraya","Indonesia","PKY","WAOP",-2.22513008118,113.943000793,82,7,"N","Asia/Jakarta","airport","OurAirports" 3913,"Maumere(Wai Oti) Airport","Maumere","Indonesia","MOF","WATC",-8.64064979553,122.236999512,115,8,"N","Asia/Makassar","airport","OurAirports" 3914,"Ende (H Hasan Aroeboesman) Airport","Ende","Indonesia","ENE","WATE",-8.8492898941,121.661003113,49,8,"N","Asia/Makassar","airport","OurAirports" 3915,"Frans Sales Lega Airport","Ruteng","Indonesia","RTG","WATG",-8.5970096588135,120.47699737549,3510,8,"N","Asia/Makassar","airport","OurAirports" 3916,"El Tari Airport","Kupang","Indonesia","KOE","WATT",-10.171600341796875,123.6709976196289,335,8,"N","Asia/Makassar","airport","OurAirports" 3917,"Komodo Airport","Labuhan Bajo","Indonesia","LBJ","WATO",-8.48666,119.889,66,8,"N","Asia/Makassar","airport","OurAirports" 3919,"Sultan Aji Muhamad Sulaiman Airport","Balikpapan","Indonesia","BPN","WALL",-1.26827001572,116.893997192,12,8,"N","Asia/Makassar","airport","OurAirports" 3920,"Juwata Airport","Taraken","Indonesia","TRK","WALR",3.326667,117.569444,23,8,"N","Asia/Makassar","airport","OurAirports" 3921,"Temindung Airport","Samarinda","Indonesia","SRI","WALS",-0.484530985355,117.156997681,33,8,"N","Asia/Makassar","airport","OurAirports" 3922,"Tanjung Santan Airport","Tanjung Santan","Indonesia","TSX","WALT",-0.0929730013013,117.45300293,121,8,"N","Asia/Makassar","airport","OurAirports" 3923,"Selaparang Airport","Mataram","Indonesia","AMI","WADA",-8.560709953309999,116.095001221,52,8,"N","Asia/Makassar","airport","OurAirports" 3924,"Muhammad Salahuddin Airport","Bima","Indonesia","BMU","WADB",-8.5396499633789,118.68699645996,3,8,"N","Asia/Makassar","airport","OurAirports" 3927,"Umbu Mehang Kunda Airport","Waingapu","Indonesia","WGP","WADW",-9.66922,120.302002,33,8,"N","Asia/Makassar","airport","OurAirports" 3928,"Juanda International Airport","Surabaya","Indonesia","SUB","WARR",-7.3798298835754395,112.78700256347656,9,7,"N","Asia/Jakarta","airport","OurAirports" 3929,"Adi Sumarmo Wiryokusumo Airport","Solo City","Indonesia","SOC","WARQ",-7.516089916229248,110.75700378417969,421,7,"N","Asia/Jakarta","airport","OurAirports" 3930,"Incheon International Airport","Seoul","South Korea","ICN","RKSI",37.46910095214844,126.45099639892578,23,9,"U","Asia/Seoul","airport","OurAirports" 3931,"Chiang Mai International Airport","Chiang Mai","Thailand","CNX","VTCC",18.766799926799997,98.962600708,1036,7,"U","Asia/Bangkok","airport","OurAirports" 3932,"Chiang Rai International Airport","Chiang Rai","Thailand","CEI","VTCT",19.952299118,99.88289642330001,1280,7,"U","Asia/Bangkok","airport","OurAirports" 3933,"Nakhon Si Thammarat Airport","Nakhon Si Thammarat","Thailand","NST","VTSF",8.539620399475098,99.9447021484375,13,7,"U","Asia/Bangkok","airport","OurAirports" 3935,"Nakhon Ratchasima Airport","Nakhon Ratchasima","Thailand","NAK","VTUQ",14.94950008392334,102.31300354003906,765,7,"U","Asia/Bangkok","airport","OurAirports" 3936,"Nakhon Phanom Airport","Nakhon Phanom","Thailand","KOP","VTUW",17.383800506591797,104.64299774169922,587,7,"U","Asia/Bangkok","airport","OurAirports" 3937,"Ubon Ratchathani Airport","Ubon Ratchathani","Thailand","UBP","VTUU",15.2512998581,104.870002747,406,7,"U","Asia/Bangkok","airport","OurAirports" 3938,"Khon Kaen Airport","Khon Kaen","Thailand","KKC","VTUK",16.466600418099997,102.783996582,670,7,"U","Asia/Bangkok","airport","OurAirports" 3939,"Sukhothai Airport","Sukhothai","Thailand","THS","VTPO",17.238000869750977,99.81819915771484,179,7,"U","Asia/Bangkok","airport","OurAirports" 3940,"Ngurah Rai (Bali) International Airport","Denpasar","Indonesia","DPS","WADD",-8.7481698989868,115.16699981689,14,8,"N","Asia/Makassar","airport","OurAirports" 3941,"Eleftherios Venizelos International Airport","Athens","Greece","ATH","LGAV",37.9364013672,23.9444999695,308,2,"E","Europe/Athens","airport","OurAirports" 3942,"Chubu Centrair International Airport","Nagoya","Japan","NGO","RJGG",34.8583984375,136.80499267578125,15,9,"U","Asia/Tokyo","airport","OurAirports" 3943,"Kobe Airport","Kobe","Japan","UKB","RJBE",34.6328010559082,135.2239990234375,22,9,"U","Asia/Tokyo","airport","OurAirports" 3944,"Pullman Moscow Regional Airport","Pullman","United States","PUW","KPUW",46.7439,-117.110001,2556,-8,"A","America/Los_Angeles","airport","OurAirports" 3945,"Lewiston Nez Perce County Airport","Lewiston","United States","LWS","KLWS",46.3745002746582,-117.01499938964844,1442,-8,"A","America/Los_Angeles","airport","OurAirports" 3946,"Elmira Corning Regional Airport","Elmira","United States","ELM","KELM",42.1599006652832,-76.8916015625,954,-5,"A","America/New_York","airport","OurAirports" 3947,"Ithaca Tompkins Regional Airport","Ithaca","United States","ITH","KITH",42.49100112915039,-76.4583969116211,1099,-5,"A","America/New_York","airport","OurAirports" 3948,"Monterey Peninsula Airport","Monterey","United States","MRY","KMRY",36.58700180053711,-121.84300231933594,257,-8,"A","America/Los_Angeles","airport","OurAirports" 3949,"Santa Barbara Municipal Airport","Santa Barbara","United States","SBA","KSBA",34.42620087,-119.8399963,13,-8,"A","America/Los_Angeles","airport","OurAirports" 3950,"Daytona Beach International Airport","Daytona Beach","United States","DAB","KDAB",29.179899,-81.058098,34,-5,"A","America/New_York","airport","OurAirports" 3952,"LiepÄja International Airport","Liepaja","Latvia","LPX","EVLA",56.51750183105469,21.096900939941406,16,2,"E","Europe/Riga","airport","OurAirports" 3953,"Riga International Airport","Riga","Latvia","RIX","EVRA",56.92359924316406,23.971099853515625,36,2,"E","Europe/Riga","airport","OurAirports" 3954,"Å iauliai International Airport","Siauliai","Lithuania","SQQ","EYSA",55.89390182495117,23.395000457763672,443,2,"E","Europe/Vilnius","airport","OurAirports" 3955,"Barysiai Airport","Barysiai","Lithuania","HLJ","EYSB",56.07059860229492,23.5580997467041,270,2,"E","Europe/Vilnius","airport","OurAirports" 3956,"Kaunas International Airport","Kaunas","Lithuania","KUN","EYKA",54.96390151977539,24.084800720214844,256,2,"E","Europe/Vilnius","airport","OurAirports" 3957,"S. Darius and S. GirÄ—nas Airfield","Kaunas","Lithuania",\N,"EYKS",54.879799,23.8815,246,2,"E","Europe/Vilnius","airport","OurAirports" 3958,"Palanga International Airport","Palanga","Lithuania","PLQ","EYPA",55.973201751708984,21.093900680541992,33,2,"E","Europe/Vilnius","airport","OurAirports" 3959,"Vilnius International Airport","Vilnius","Lithuania","VNO","EYVI",54.634102,25.285801,648,2,"E","Europe/Vilnius","airport","OurAirports" 3960,"Panevėžys Air Base","Panevezys","Lithuania","PNV","EYPP",55.729400634765625,24.460800170898438,197,2,"E","Europe/Vilnius","airport","OurAirports" 3962,"Erebuni Airport","Yerevan","Armenia",\N,"UDYE",40.122100830099996,44.465000152600005,2948,4,"E","Asia/Yerevan","airport","OurAirports" 3963,"Stepanavan Airport","Stepanavan","Armenia",\N,"UDLS",41.048500061,44.337200164799995,4836,4,"E","Asia/Yerevan","airport","OurAirports" 3964,"Zvartnots International Airport","Yerevan","Armenia","EVN","UDYZ",40.1473007202,44.3959007263,2838,4,"E","Asia/Yerevan","airport","OurAirports" 3965,"Gyumri Shirak Airport","Gyumri","Armenia","LWN","UDSG",40.7504005432,43.859298706100006,5000,4,"E","Asia/Yerevan","airport","OurAirports" 3966,"Assab International Airport","Assab","Eritrea","ASA","HHSB",13.071800231933594,42.64500045776367,46,3,"U","Africa/Asmera","airport","OurAirports" 3967,"Asmara International Airport","Asmara","Eritrea","ASM","HHAS",15.291899681091309,38.910701751708984,7661,3,"U","Africa/Asmera","airport","OurAirports" 3968,"Massawa International Airport","Massawa","Eritrea","MSW","HHMS",15.670000076293945,39.37009811401367,194,3,"U","Africa/Asmera","airport","OurAirports" 3969,"Yasser Arafat International Airport","Gaza","Palestine","GZA","LVGZ",31.24640083313,34.276100158691,320,2,"U","Asia/Gaza","airport","OurAirports" 3971,"Batumi International Airport","Batumi","Georgia","BUS","UGSB",41.6102981567,41.5997009277,105,4,"N","Asia/Tbilisi","airport","OurAirports" 3972,"Kopitnari Airport","Kutaisi","Georgia","KUT","UGKO",42.176700592,42.4826011658,223,4,"N","Asia/Tbilisi","airport","OurAirports" 3973,"Tbilisi International Airport","Tbilisi","Georgia","TBS","UGTB",41.6692008972,44.95470047,1624,4,"N","Asia/Tbilisi","airport","OurAirports" 3974,"Mukalla International Airport","Mukalla","Yemen","RIY","OYRN",14.662599563598633,49.375,54,3,"U","Asia/Aden","airport","OurAirports" 3975,"Ta'izz International Airport","Taiz","Yemen","TAI","OYTZ",13.6859998703,44.139099121099996,4838,3,"U","Asia/Aden","airport","OurAirports" 3976,"Hodeidah International Airport","Hodeidah","Yemen","HOD","OYHD",14.753000259399414,42.97629928588867,41,3,"U","Asia/Aden","airport","OurAirports" 3977,"Aden International Airport","Aden","Yemen","ADE","OYAA",12.829500198364258,45.02880096435547,7,3,"U","Asia/Aden","airport","OurAirports" 3978,"Ataq Airport","Ataq","Yemen","AXK","OYAT",14.551300048828125,46.82619857788086,3735,3,"U","Asia/Aden","airport","OurAirports" 3979,"Al Ghaidah International Airport","Al Ghaidah Intl","Yemen","AAY","OYGD",16.191699981689453,52.17499923706055,134,3,"U","Asia/Aden","airport","OurAirports" 3980,"Sana'a International Airport","Sanaa","Yemen","SAH","OYSN",15.476300239562988,44.21969985961914,7216,3,"U","Asia/Aden","airport","OurAirports" 3982,"Beihan Airport","Beihan","Yemen","BHN","OYBN",14.781999588012695,45.72010040283203,3800,3,"U","Asia/Aden","airport","OurAirports" 3984,"Socotra International Airport","Socotra","Yemen","SCT","OYSQ",12.63070011138916,53.905799865722656,146,3,"U","Asia/Aden","airport","OurAirports" 3985,"Al Badie Airport","Al Badie","Yemen",\N,"OYBA",18.71929931640625,50.83689880371094,908,3,"U","Asia/Aden","airport","OurAirports" 3986,"Memmingen Allgau Airport","Memmingen","Germany","FMM","EDJA",47.988800048799995,10.2395000458,2077,1,"E","Europe/Berlin","airport","OurAirports" 3987,"NevÅŸehir Kapadokya Airport","Nevsehir","Turkey","NAV","LTAZ",38.7719,34.5345,3100,3,"E","Europe/Istanbul","airport","OurAirports" 3988,"Ministro Pistarini International Airport","Buenos Aires","Argentina","EZE","SAEZ",-34.8222,-58.5358,67,-3,"N","America/Buenos_Aires","airport","OurAirports" 3989,"Erbil International Airport","Erbil","Iraq","EBL","ORER",36.23759841918945,43.963199615478516,1341,3,"U","Asia/Baghdad","airport","OurAirports" 3990,"Emerald Airport","Emerald","Australia","EMD","YEML",-23.5674991608,148.179000854,624,10,"O","Australia/Brisbane","airport","OurAirports" 3991,"Athen Helenikon Airport","Athens","Greece","HEW","LGAT",37.893299,23.726101,69,2,"E","Europe/Athens","airport","OurAirports" 3992,"Kansai International Airport","Osaka","Japan","KIX","RJBB",34.42729949951172,135.24400329589844,26,9,"U","Asia/Tokyo","airport","OurAirports" 3993,"Downtown-Manhattan/Wall St Heliport","New York","United States","JRB","KJRB",40.70119858,-74.00900269,7,-5,"A","America/New_York","airport","OurAirports" 3994,"Tagbilaran Airport","Tagbilaran","Philippines","TAG","RPVT",9.665442,123.853533,38,8,"N","Asia/Manila","airport","OurAirports" 3995,"Ilulissat Airport","Ilulissat","Greenland","JAV","BGJN",69.2432022095,-51.0570983887,95,-3,"E","America/Godthab","airport","OurAirports" 3996,"Qasigiannguit Heliport","Qasigiannguit","Greenland","JCH","BGCH",68.822815547,-51.1734473705,70,-3,"E","America/Godthab","airport","OurAirports" 3997,"Aasiaat Airport","Aasiaat","Greenland","JEG","BGAA",68.7218017578,-52.7846984863,74,-3,"E","America/Godthab","airport","OurAirports" 3998,"Palma De Mallorca Airport","Palma de Mallorca","Spain","PMI","LEPA",39.551700592,2.73881006241,27,1,"E","Europe/Madrid","airport","OurAirports" 3999,"Darwin International Airport","Darwin","Australia","DRW","YPDN",-12.41469955444336,130.8769989013672,103,9.5,"N","Australia/Darwin","airport","OurAirports" 4000,"Surat Thani Airport","Surat Thani","Thailand","URT","VTSB",9.13259983063,99.135597229,20,7,"U","Asia/Bangkok","airport","OurAirports" 4004,"Talkeetna Airport","Talkeetna","United States","TKA","PATK",62.320499420166,-150.09399414062,358,-9,"A","America/Anchorage","airport","OurAirports" 4005,"Xewkija Heliport","Gozo","Malta","GZM","LMMG",36.027199,14.2728,0,1,"E","Europe/Malta","airport","OurAirports" 4006,"Tweed New Haven Airport","New Haven","United States","HVN","KHVN",41.26369858,-72.88680267,12,-5,"A","America/New_York","airport","OurAirports" 4007,"Asheville Regional Airport","Asheville","United States","AVL","KAVL",35.43619918823242,-82.54180145263672,2165,-5,"A","America/New_York","airport","OurAirports" 4008,"Piedmont Triad International Airport","Greensboro","United States","GSO","KGSO",36.097801208496094,-79.93730163574219,925,-5,"A","America/New_York","airport","OurAirports" 4009,"Joe Foss Field Airport","Sioux Falls","United States","FSD","KFSD",43.582000732400004,-96.741897583,1429,-6,"A","America/Chicago","airport","OurAirports" 4010,"Ayers Rock Connellan Airport","Uluru","Australia","AYQ","YAYE",-25.1861,130.975998,1626,9.5,"N","Australia/Darwin","airport","OurAirports" 4011,"Manchester-Boston Regional Airport","Manchester NH","United States","MHT","KMHT",42.932598,-71.435699,266,-5,"A","America/New_York","airport","OurAirports" 4012,"Naples Municipal Airport","Naples","United States","APF","KAPF",26.1525993347,-81.7752990723,8,-5,"A","America/New_York","airport","OurAirports" 4013,"LTS Pulau Redang Airport","Redang","Malaysia","RDN","WMPR",5.765279769897461,103.00700378417969,36,8,"N","Asia/Kuala_Lumpur","airport","OurAirports" 4014,"Louisville International Standiford Field","Louisville","United States","SDF","KSDF",38.1744,-85.736,501,-5,"A","America/New_York","airport","OurAirports" 4015,"Charlottesville Albemarle Airport","Charlottesville VA","United States","CHO","KCHO",38.13859939575195,-78.4529037475586,639,-5,"A","America/New_York","airport","OurAirports" 4016,"Roanoke–Blacksburg Regional Airport","Roanoke VA","United States","ROA","KROA",37.3255,-79.975403,1175,-5,"A","America/New_York","airport","OurAirports" 4017,"Blue Grass Airport","Lexington KY","United States","LEX","KLEX",38.0364990234375,-84.60590362548828,979,-5,"A","America/New_York","airport","OurAirports" 4018,"Evansville Regional Airport","Evansville","United States","EVV","KEVV",38.0369987488,-87.5324020386,418,-6,"A","America/Chicago","airport","OurAirports" 4019,"Albuquerque International Sunport","Albuquerque","United States","ABQ","KABQ",35.040199,-106.609001,5355,-7,"A","America/Denver","airport","OurAirports" 4020,"Gallatin Field","Bozeman","United States","BZN","KBZN",45.77750015,-111.1529999,4473,-7,"A","America/Denver","airport","OurAirports" 4021,"Billings Logan International Airport","Billings","United States","BIL","KBIL",45.807701110839844,-108.54299926757812,3652,-7,"A","America/Denver","airport","OurAirports" 4022,"Bert Mooney Airport","Butte","United States","BTM","KBTM",45.95479965209961,-112.49700164794922,5550,-7,"A","America/Denver","airport","OurAirports" 4023,"Cherry Capital Airport","Traverse City","United States","TVC","KTVC",44.74140167236328,-85.58219909667969,624,-5,"A","America/New_York","airport","OurAirports" 4024,"Mundo Maya International Airport","Flores","Guatemala","FRS","MGTK",16.913799285899998,-89.86640167239999,427,-6,"U","America/Guatemala","airport","OurAirports" 4025,"Hancock County-Bar Harbor Airport","Bar Harbor","United States","BHB","KBHB",44.45000076,-68.3615036,83,-5,"A","America/New_York","airport","OurAirports" 4026,"Knox County Regional Airport","Rockland","United States","RKD","KRKD",44.06010056,-69.09919739,56,-5,"A","America/New_York","airport","OurAirports" 4027,"Jackson Hole Airport","Jacksn Hole","United States","JAC","KJAC",43.6072998046875,-110.73799896240234,6451,-7,"A","America/Denver","airport","OurAirports" 4028,"Chicago Rockford International Airport","Rockford","United States","RFD","KRFD",42.19540023803711,-89.09719848632812,742,-6,"A","America/Chicago","airport","OurAirports" 4029,"Domodedovo International Airport","Moscow","Russia","DME","UUDD",55.40879821777344,37.90629959106445,588,3,"N","Europe/Moscow","airport","OurAirports" 4030,"Sanya Phoenix International Airport","Sanya","China","SYX","ZJSY",18.302900314331055,109.41200256347656,92,8,"U","Asia/Shanghai","airport","OurAirports" 4031,"Milford Sound Airport","Milford Sound","New Zealand","MFN","NZMF",-44.673301696777344,167.92300415039062,10,12,"Z","Pacific/Auckland","airport","OurAirports" 4033,"Lijiang Airport","Lijiang","China","LJG","ZPLJ",26.6800003052,100.246002197,0,8,"U","Asia/Shanghai","airport","OurAirports" 4034,"Greenville Spartanburg International Airport","Greenville","United States","GSP","KGSP",34.8956985474,-82.2189025879,964,-5,"A","America/New_York","airport","OurAirports" 4037,"Central Illinois Regional Airport at Bloomington-Normal","Bloomington","United States","BMI","KBMI",40.47710037,-88.91590118,871,-6,"A","America/Chicago","airport","OurAirports" 4038,"Gulfport Biloxi International Airport","Gulfport","United States","GPT","KGPT",30.40730094909668,-89.07009887695312,28,-6,"A","America/Chicago","airport","OurAirports" 4039,"Kalamazoo Battle Creek International Airport","Kalamazoo","United States","AZO","KAZO",42.234901428222656,-85.5521011352539,874,-5,"A","America/New_York","airport","OurAirports" 4040,"Toledo Express Airport","Toledo","United States","TOL","KTOL",41.58679962,-83.80780029,683,-5,"A","America/New_York","airport","OurAirports" 4041,"Fort Wayne International Airport","Fort Wayne","United States","FWA","KFWA",40.97850037,-85.19509888,814,-5,"A","America/New_York","airport","OurAirports" 4042,"Decatur Airport","Decatur","United States","DEC","KDEC",39.834598541259766,-88.8656997680664,682,-6,"A","America/Chicago","airport","OurAirports" 4043,"The Eastern Iowa Airport","Cedar Rapids","United States","CID","KCID",41.884700775146484,-91.71080017089844,869,-6,"A","America/Chicago","airport","OurAirports" 4044,"La Crosse Municipal Airport","La Crosse","United States","LSE","KLSE",43.879002,-91.256699,655,-6,"A","America/Chicago","airport","OurAirports" 4045,"Central Wisconsin Airport","Wassau","United States","CWA","KCWA",44.7775993347,-89.6668014526,1277,-6,"A","America/Chicago","airport","OurAirports" 4046,"General Wayne A. Downing Peoria International Airport","Peoria","United States","PIA","KPIA",40.664199829100006,-89.6932983398,660,-6,"A","America/Chicago","airport","OurAirports" 4047,"Appleton International Airport","Appleton","United States","ATW","KATW",44.258098602299995,-88.5190963745,918,-6,"A","America/Chicago","airport","OurAirports" 4048,"Rochester International Airport","Rochester","United States","RST","KRST",43.90829849243164,-92.5,1317,-6,"A","America/Chicago","airport","OurAirports" 4049,"University of Illinois Willard Airport","Champaign","United States","CMI","KCMI",40.03919983,-88.27809906,755,-6,"A","America/Chicago","airport","OurAirports" 4050,"Manhattan Regional Airport","Manhattan","United States","MHK","KMHK",39.14099884033203,-96.6707992553711,1057,-6,"A","America/Chicago","airport","OurAirports" 4051,"Kingscote Airport","Kingscote","Australia","KGC","YKSC",-35.71390151977539,137.52099609375,24,9.5,"O","Australia/Adelaide","airport","OurAirports" 4052,"Hervey Bay Airport","Hervey Bay","Australia","HVB","YHBA",-25.3188991547,152.880004883,60,10,"O","Australia/Brisbane","airport","OurAirports" 4054,"Dali Airport","Dali","China","DLU","ZPDL",25.649401,100.319,7050,8,"U","Asia/Shanghai","airport","OurAirports" 4056,"Mulu Airport","Mulu","Malaysia","MZV","WBMU",4.048329830169678,114.80500030517578,80,8,"N","Asia/Kuala_Lumpur","airport","OurAirports" 4057,"Sharm El Sheikh International Airport","Sharm El Sheikh","Egypt","SSH","HESH",27.9773006439,34.3950004578,143,2,"N","Africa/Cairo","airport","OurAirports" 4058,"Venango Regional Airport","Franklin","United States","FKL","KFKL",41.3778991699,-79.8603973389,1540,-5,"A","America/New_York","airport","OurAirports" 4059,"Jomo Kenyatta International Airport","Nairobi","Kenya","NBO","HKJK",-1.31923997402,36.9277992249,5330,3,"N","Africa/Nairobi","airport","OurAirports" 4060,"Seronera Airport","Seronera","Tanzania","SEU","HTSN",-2.45806,34.822498,5080,3,"U","Africa/Dar_es_Salaam","airport","OurAirports" 4061,"El Calafate Airport","El Calafate","Argentina","FTE","SAWC",-50.2803,-72.053101,669,-3,"N","America/Argentina/Rio_Gallegos","airport","OurAirports" 4062,"Armidale Airport","Armidale","Australia","ARM","YARM",-30.528099060099997,151.617004395,3556,10,"O","Australia/Sydney","airport","OurAirports" 4063,"Grand Junction Regional Airport","Grand Junction","United States","GJT","KGJT",39.1223983765,-108.527000427,4858,-7,"A","America/Denver","airport","OurAirports" 4064,"St George Municipal Airport","Saint George","United States","SGU","KSGU",37.036389,-113.510306,2941,-7,"A","America/Denver","airport","OurAirports" 4065,"David Wayne Hooks Memorial Airport","Houston","United States","DWH","KDWH",30.0618000031,-95.55280303960001,152,-6,"A","America/Chicago","airport","OurAirports" 4066,"Port O'Connor Private Heliport","Port O\'Connor","United States",\N,"XS46",28.429725,-96.444419,8,-6,"A","America/Chicago","airport","OurAirports" 4067,"Sarasota Bradenton International Airport","Sarasota","United States","SRQ","KSRQ",27.39539909362793,-82.55439758300781,30,-5,"A","America/New_York","airport","OurAirports" 4069,"L.F. Wade International International Airport","Bermuda","Bermuda","BDA","TXKF",32.36399841308594,-64.67870330810547,12,-4,"A","Atlantic/Bermuda","airport","OurAirports" 4071,"Van Nuys Airport","Van Nuys","United States","VNY","KVNY",34.209800720215,-118.48999786377,802,-8,"A","America/Los_Angeles","airport","OurAirports" 4072,"Quad City International Airport","Moline","United States","MLI","KMLI",41.44850158691406,-90.50749969482422,590,-6,"A","America/Chicago","airport","OurAirports" 4073,"Panama City-Bay Co International Airport","Panama City","United States","PFN","KPFN",30.212099,-85.6828,20,-6,"A","America/Chicago","airport","OurAirports" 4074,"Honiara International Airport","Honiara","Solomon Islands","HIR","AGGH",-9.4280004501343,160.05499267578,28,11,"U","Pacific/Guadalcanal","airport","OurAirports" 4075,"Faa'a International Airport","Papeete","French Polynesia","PPT","NTAA",-17.553699,-149.606995,5,-10,"U","Pacific/Tahiti","airport","OurAirports" 4076,"Nauru International Airport","Nauru","Nauru","INU","ANYN",-0.547458,166.919006,22,12,"U","Pacific/Nauru","airport","OurAirports" 4077,"Funafuti International Airport","Funafuti","Tuvalu","FUN","NGFU",-8.525,179.195999,9,12,"U","Pacific/Funafuti","airport","OurAirports" 4078,"Tolmachevo Airport","Novosibirsk","Russia","OVB","UNNT",55.012599945068,82.650703430176,365,7,"N","Asia/Krasnoyarsk","airport","OurAirports" 4080,"Samsø Airport","Samsoe","Denmark",\N,"EKSS",55.88949966430664,10.613699913024902,1,1,"E","Europe/Copenhagen","airport","OurAirports" 4081,"Xieng Khouang Airport","Phon Savan","Laos","XKH","VLXK",19.450001,103.157997,3445,7,"U","Asia/Vientiane","airport","OurAirports" 4083,"Bismarck Municipal Airport","Bismarck","United States","BIS","KBIS",46.772701263427734,-100.74600219726562,1661,-6,"A","America/Chicago","airport","OurAirports" 4084,"Telluride Regional Airport","Telluride","United States","TEX","KTEX",37.9538002,-107.9079971,9070,-7,"A","America/Denver","airport","OurAirports" 4085,"Yinchuan Airport","Yinchuan","China",\N,"ZLIC",38.481899,106.009003,0,8,"U","Asia/Shanghai","airport","OurAirports" 4086,"Mae Hong Son Airport","Mae Hong Son","Thailand","HGN","VTCH",19.301300048828125,97.97579956054688,929,7,"U","Asia/Bangkok","airport","OurAirports" 4087,"Rapid City Regional Airport","Rapid City","United States","RAP","KRAP",44.0452995300293,-103.05699920654297,3204,-7,"A","America/Denver","airport","OurAirports" 4088,"Mc Clellan-Palomar Airport","Carlsbad","United States","CLD","KCRQ",33.12829971,-117.2799988,331,-8,"A","America/Los_Angeles","airport","OurAirports" 4089,"Bishop International Airport","Flint","United States","FNT","KFNT",42.96540069580078,-83.74359893798828,782,-5,"A","America/New_York","airport","OurAirports" 4090,"Francisco Bangoy International Airport","Davao","Philippines","DVO","RPMD",7.1255202293396,125.64600372314453,96,8,"N","Asia/Manila","airport","OurAirports" 4091,"Madeira Airport","Funchal","Portugal","FNC","LPMA",32.697899,-16.7745,192,0,"E","Europe/Lisbon","airport","OurAirports" 4092,"Maestro Wilson Fonseca Airport","Santarem","Brazil","STM","SBSN",-2.4247219562530518,-54.785831451416016,198,-3,"S","America/Belem","airport","OurAirports" 4093,"Sihanoukville International Airport","Sihanoukville","Cambodia","KOS","VDSV",10.57970047,103.637001038,33,7,"N","Asia/Phnom_Penh","airport","OurAirports" 4094,"Ekati Airport","Ekati","Canada","YOA","CYOA",64.6988983154,-110.614997864,1536,-7,"A","America/Edmonton","airport","OurAirports" 4095,"Hawke's Bay Airport","NAPIER","New Zealand","NPE","NZNR",-39.465801,176.869995,6,12,"Z","Pacific/Auckland","airport","OurAirports" 4096,"Levuka Airfield","Levuka","Fiji","LEV","NFNB",-17.7110996246,178.759002686,11,12,"N","Pacific/Fiji","airport","OurAirports" 4097,"Lhasa Gonggar Airport","Lhasa","China","LXA","ZULS",29.2978000641,90.91190338130001,11713,8,"U","Asia/Shanghai","airport","OurAirports" 4098,"Redding Municipal Airport","Redding","United States","RDD","KRDD",40.50899887,-122.2929993,505,-8,"A","America/Los_Angeles","airport","OurAirports" 4099,"Mahlon Sweet Field","Eugene","United States","EUG","KEUG",44.12459945678711,-123.21199798583984,374,-8,"A","America/Los_Angeles","airport","OurAirports" 4100,"Idaho Falls Regional Airport","Idaho Falls","United States","IDA","KIDA",43.514599,-112.070999,4744,-7,"A","America/Denver","airport","OurAirports" 4101,"Rogue Valley International Medford Airport","Medford","United States","MFR","KMFR",42.37419891357422,-122.87300109863281,1335,-8,"A","America/Los_Angeles","airport","OurAirports" 4102,"Kaikoura Airport","Kaikoura","New Zealand","KBZ","NZKI",-42.42499923706055,173.60499572753906,20,12,"Z","Pacific/Auckland","airport","OurAirports" 4103,"Roberts Field","Redmond-Bend","United States","RDM","KRDM",44.2541008,-121.1500015,3080,-8,"A","America/Los_Angeles","airport","OurAirports" 4104,"Picton Aerodrome","Picton","New Zealand","PCN","NZPN",-41.346099853516,173.95599365234,161,12,"Z","Pacific/Auckland","airport","OurAirports" 4105,"Hosea Kutako International Airport","Windhoek","Namibia","WDH","FYWH",-22.4799,17.4709,5640,1,"S","Africa/Windhoek","airport","OurAirports" 4106,"Victoria Harbour Seaplane Base","Victoria","Canada","YWH","CYWH",48.4249858939,-123.388867378,0,-8,"A","America/Vancouver","airport","OurAirports" 4107,"Coal Harbour Seaplane Base","Vancouver","Canada",\N,"CAQ3",50.5999984741,-127.583000183,0,-8,"A","America/Vancouver","airport","OurAirports" 4108,"Yaoqiang Airport","Jinan","China","TNA","ZSJN",36.857200622558594,117.21600341796875,76,8,"U","Asia/Shanghai","airport","OurAirports" 4109,"Changzhou Benniu Airport","Changzhou","China","CZX","ZSCG",31.919701,119.778999,0,8,"U","Asia/Shanghai","airport","OurAirports" 4110,"Yibin Caiba Airport","Yibin","China","YBP","ZUYB",28.8005555556,104.545,924,8,"U","Asia/Shanghai","airport","OurAirports" 4111,"Roshchino International Airport","Tyumen","Russia","TJM","USTR",57.189601898199996,65.3243026733,378,5,"N","Asia/Yekaterinburg","airport","OurAirports" 4112,"Akron Canton Regional Airport","Akron","United States","CAK","KCAK",40.916099548339844,-81.44219970703125,1228,-5,"A","America/New_York","airport","OurAirports" 4113,"Huntsville International Carl T Jones Field","Huntsville","United States","HSV","KHSV",34.637199401855,-86.775100708008,629,-6,"A","America/Chicago","airport","OurAirports" 4114,"Mid Ohio Valley Regional Airport","PARKERSBURG","United States","PKB","KPKB",39.34510040283203,-81.43920135498047,858,-5,"A","America/New_York","airport","OurAirports" 4115,"Montgomery Regional (Dannelly Field) Airport","MONTGOMERY","United States","MGM","KMGM",32.30059814,-86.39399719,221,-6,"A","America/Chicago","airport","OurAirports" 4116,"Tri-Cities Regional TN/VA Airport","BRISTOL","United States","TRI","KTRI",36.475201,-82.407401,1519,-5,"A","America/New_York","airport","OurAirports" 4117,"Barkley Regional Airport","PADUCAH","United States","PAH","KPAH",37.06079864501953,-88.7738037109375,410,-6,"A","America/Chicago","airport","OurAirports" 4119,"Djibouti-Ambouli Airport","Djibouti","Djibouti","JIB","HDAM",11.547300338745117,43.15950012207031,49,3,"U","Africa/Djibouti","airport","OurAirports" 4120,"Haikou Meilan International Airport","Haikou","China","HAK","ZJHK",19.934900283813477,110.45899963378906,75,8,"U","Asia/Shanghai","airport","OurAirports" 4121,"Mafia Island Airport","Mafia Island","Tanzania","MFA","HTMA",-7.917478,39.668502,60,3,"U","Africa/Dar_es_Salaam","airport","OurAirports" 4124,"Page Municipal Airport","Page","United States","PGA","KPGA",36.92610168,-111.447998,4316,-7,"A","America/Phoenix","airport","OurAirports" 4125,"Utila Airport","Utila","Honduras","UII","MHUT",16.1131,-86.880302,29,-6,"U","America/Tegucigalpa","airport","OurAirports" 4127,"Glacier Park International Airport","Kalispell","United States","FCA","KGPI",48.31050109863281,-114.25599670410156,2977,-7,"A","America/Denver","airport","OurAirports" 4128,"MBS International Airport","Saginaw","United States","MBS","KMBS",43.532901763916016,-84.07959747314453,668,-5,"A","America/New_York","airport","OurAirports" 4129,"Greater Binghamton/Edwin A Link field","Binghamton","United States","BGM","KBGM",42.20869827,-75.97979736,1636,-5,"A","America/New_York","airport","OurAirports" 4130,"Baghdad International Airport","Baghdad","Iraq","BGW","ORBI",33.262500762900004,44.2346000671,114,3,"U","Asia/Baghdad","airport","OurAirports" 4131,"Nan Airport","Nan","Thailand","NNT","VTCN",18.807899475097656,100.78299713134766,685,7,"U","Asia/Bangkok","airport","OurAirports" 4132,"Roi Et Airport","Roi Et","Thailand","ROI","VTUV",16.11680030822754,103.77400207519531,451,7,"U","Asia/Bangkok","airport","OurAirports" 4133,"Buri Ram Airport","Buri Ram","Thailand","BFV","VTUO",15.229499816894531,103.25299835205078,590,7,"U","Asia/Bangkok","airport","OurAirports" 4135,"Trat Airport","Trat","Thailand","TDX","VTBO",12.274600029,102.319000244,105,7,"U","Asia/Bangkok","airport","OurAirports" 4136,"Blythe Airport","Blythe","United States","BLH","KBLH",33.6192016602,-114.717002869,399,-8,"A","America/Los_Angeles","airport","OurAirports" 4137,"Al Asad Air Base","Al Asad","Iraq","IQA","ORAA",33.7855987549,42.4412002563,618,3,"U","Asia/Baghdad","airport","OurAirports" 4138,"Al Taqaddum Air Base","Al Taqaddum","Iraq","TQD","ORAT",33.33810043335,43.597099304199,275,3,"U","Asia/Baghdad","airport","OurAirports" 4139,"Joint Base Balad","Al Bakr","Iraq","XQC","ORBD",33.940200805699995,44.361598968500005,161,3,"U","Asia/Baghdad","airport","OurAirports" 4140,"Diosdado Macapagal International Airport","Angeles City","Philippines","CRK","RPLC",15.186,120.559998,484,8,"N","Asia/Manila","airport","OurAirports" 4141,"Sandakan Airport","Sandakan","Malaysia","SDK","WBKS",5.900899887084961,118.05899810791016,46,8,"N","Asia/Kuala_Lumpur","airport","OurAirports" 4142,"Luang Namtha Airport","Luang Namtha","Laos","LXG","VLLN",20.966999,101.400002,1968,7,"U","Asia/Vientiane","airport","OurAirports" 4143,"Oudomsay Airport","Muang Xay","Laos","ODY","VLOS",20.68269920349121,101.99400329589844,1804,7,"N","Asia/Vientiane","airport","OurAirports" 4144,"Taoxian Airport","Shenyang","China","SHE","ZYTX",41.639801025390625,123.48300170898438,198,8,"U","Asia/Shanghai","airport","OurAirports" 4145,"Dongying Shengli Airport","Dongying","China","DOY","ZSDY",37.5085983276,118.788002014,15,8,"U","Asia/Shanghai","airport","OurAirports" 4146,"John A. Osborne Airport","Geralds","Montserrat","MNI","TRPG",16.791400909423828,-62.19329833984375,550,-4,"N","America/Montserrat","airport","OurAirports" 4147,"Petersburg James A Johnson Airport","Petersburg","United States","PSG","PAPG",56.80170059,-132.9450073,111,-9,"A","America/Anchorage","airport","OurAirports" 4148,"Luoyang Airport","Luoyang","China","LYA","ZHLY",34.741100311299995,112.388000488,840,8,"U","Asia/Shanghai","airport","OurAirports" 4149,"Xuzhou Guanyin Airport","Xuzhou","China","XUZ","ZSXZ",34.059056,117.555278,0,8,"U","Asia/Shanghai","airport","OurAirports" 4151,"Magway Airport","Magwe","Burma","MWQ","VYMW",20.1656,94.941399,279,6.5,"U","Asia/Rangoon","airport","OurAirports" 4152,"Kanti Airport","Khamti","Burma","KHM","VYKI",25.988300323486328,95.67440032958984,6000,6.5,"U","Asia/Rangoon","airport","OurAirports" 4153,"Lien Khuong Airport","Dalat","Vietnam","DLI","VVDL",11.75,108.366997,3156,7,"U","Asia/Saigon","airport","OurAirports" 4154,"Dong Hoi Airport","Dong Hoi","Vietnam","VDH","VVDH",17.515,106.590556,59,7,"U","Asia/Saigon","airport","OurAirports" 4155,"Rach Gia Airport","Rach Gia","Vietnam","VKG","VVRG",9.95802997234,105.132379532,7,7,"U","Asia/Saigon","airport","OurAirports" 4156,"Cà Mau Airport","Ca Mau","Vietnam","CAH","VVCM",9.177667,105.177778,6,7,"U","Asia/Saigon","airport","OurAirports" 4157,"Chu Lai International Airport","Chu Lai","Vietnam","VCL","VVCA",15.403300285299999,108.706001282,10,7,"U","Asia/Saigon","airport","OurAirports" 4158,"Dong Tac Airport","Tuy Hoa","Vietnam","TBB","VVTH",13.049599647500001,109.333999634,20,7,"U","Asia/Saigon","airport","OurAirports" 4159,"Mae Hong Son Airport","Pai","Thailand","PYY","VTCI",19.3719997406,98.43699646,1271,7,"U","Asia/Bangkok","airport","OurAirports" 4160,"Bol Airport","Brac","Croatia","BWK","LDSB",43.285701751708984,16.67970085144043,1776,1,"E","Europe/Zagreb","airport","OurAirports" 4161,"Yaoundé Nsimalen International Airport","Yaounde","Cameroon","NSI","FKYS",3.722559928894043,11.553299903869629,2278,1,"N","Africa/Douala","airport","OurAirports" 4162,"Conakry International Airport","Conakry","Guinea","CKY","GUCY",9.57689,-13.612,72,0,"N","Africa/Conakry","airport","OurAirports" 4165,"Aachen-Merzbrück Airport","Aachen","Germany","AAH","EDKA",50.823055267333984,6.186388969421387,623,1,"E","Europe/Berlin","airport","OurAirports" 4166,"Karlsruhe Baden-Baden Airport","Karlsruhe/Baden-Baden","Germany","FKB","EDSB",48.7793998718,8.08049964905,408,1,"E","Europe/Berlin","airport","OurAirports" 4167,"Orlando Sanford International Airport","Sanford","United States","SFB","KSFB",28.777599334716797,-81.23750305175781,55,-5,"A","America/New_York","airport","OurAirports" 4169,"John Murtha Johnstown Cambria County Airport","Johnstown","United States","JST","KJST",40.31610107421875,-78.83390045166016,2284,-5,"A","America/New_York","airport","OurAirports" 4170,"Lukla Airport","Lukla","Nepal","LUA","VNLK",27.686899185180664,86.72969818115234,9380,5.75,"N","Asia/Katmandu","airport","OurAirports" 4171,"Bhojpur Airport","Bhojpur","Nepal","BHP","VNBJ",27.14739990234375,87.05079650878906,4000,5.75,"N","Asia/Katmandu","airport","OurAirports" 4172,"Lamidanda Airport","Lamidanda","Nepal","LDN","VNLD",27.25309944152832,86.66999816894531,4100,5.75,"N","Asia/Katmandu","airport","OurAirports" 4173,"Jomsom Airport","Jomsom","Nepal","JMO","VNJS",28.780426,83.723,8976,5.75,"N","Asia/Katmandu","airport","OurAirports" 4174,"Manang Airport","Manang","Nepal","NGX","VNMA",28.641399,84.089203,11001,5.75,"N","Asia/Katmandu","airport","OurAirports" 4175,"Phaplu Airport","Phaplu","Nepal","PPL","VNPL",27.517787,86.584454,7918,5.75,"N","Asia/Katmandu","airport","OurAirports" 4177,"Rumjatar Airport","Rumjatar","Nepal","RUM","VNRT",27.303499221801758,86.55039978027344,4500,5.75,"N","Asia/Katmandu","airport","OurAirports" 4178,"Tulsipur Airport","Dang","Nepal","DNP","VNDG",28.111099243164062,82.29419708251953,2100,5.75,"N","Asia/Katmandu","airport","OurAirports" 4179,"Rukum Chaurjahari Airport","Rukumkot","Nepal","RUK","VNRK",28.627001,82.195,2500,5.75,"N","Asia/Katmandu","airport","OurAirports" 4180,"Jumla Airport","Jumla","Nepal","JUM","VNJL",29.2742,82.193298,7700,5.75,"N","Asia/Katmandu","airport","OurAirports" 4182,"Taplejung Airport","Taplejung","Nepal","TPJ","VNTJ",27.3509,87.69525,7990,5.75,"N","Asia/Katmandu","airport","OurAirports" 4183,"Tumling Tar Airport","Tumling Tar","Nepal","TMI","VNTR",27.315001,87.193298,1700,5.75,"N","Asia/Katmandu","airport","OurAirports" 4184,"Surkhet Airport","Surkhet","Nepal","SKH","VNSK",28.586,81.636002,2400,5.75,"N","Asia/Katmandu","airport","OurAirports" 4185,"Simikot Airport","Simikot","Nepal","IMK","VNST",29.971099853515625,81.81890106201172,9246,5.75,"N","Asia/Katmandu","airport","OurAirports" 4186,"Dolpa Airport","Dolpa","Nepal","DOP","VNDP",28.985700607299805,82.81909942626953,8200,5.75,"N","Asia/Katmandu","airport","OurAirports" 4187,"Bajhang Airport","Bajhang","Nepal","BJH","VNBG",29.538999557495117,81.1854019165039,4100,5.75,"N","Asia/Katmandu","airport","OurAirports" 4188,"Dhangarhi Airport","Dhangarhi","Nepal","DHI","VNDH",28.753299713134766,80.58190155029297,690,5.75,"N","Asia/Katmandu","airport","OurAirports" 4189,"Muan International Airport","Muan","South Korea","MWX","RKJB",34.991406,126.382814,35,9,"U","Asia/Seoul","airport","OurAirports" 4190,"Astypalaia Airport","Astypalaia","Greece","JTY","LGPL",36.5798988342,26.3757991791,165,2,"E","Europe/Athens","airport","OurAirports" 4191,"Ikaria Airport","Ikaria","Greece","JIK","LGIK",37.6827011108,26.3470993042,79,2,"E","Europe/Athens","airport","OurAirports" 4192,"Kalymnos Airport","Kalymnos","Greece","JKL","LGKY",36.9632987976,26.9405994415,771,2,"E","Europe/Athens","airport","OurAirports" 4193,"Milos Airport","Milos","Greece","MLO","LGML",36.696899,24.4769,10,2,"E","Europe/Athens","airport","OurAirports" 4194,"Naxos Airport","Cyclades Islands","Greece","JNX","LGNX",37.0811004639,25.3680992126,10,2,"E","Europe/Athens","airport","OurAirports" 4195,"Paros National Airport","Paros","Greece","PAS","LGPA",37.020495,25.113195,131,2,"E","Europe/Athens","airport","OurAirports" 4196,"Kastelorizo Airport","Kastelorizo","Greece","KZS","LGKJ",36.1417007446,29.576400756799995,489,2,"E","Europe/Athens","airport","OurAirports" 4197,"Marsa Alam International Airport","Marsa Alam","Egypt","RMF","HEMA",25.557100296,34.5836982727,251,2,"U","Africa/Cairo","airport","OurAirports" 4198,"Weeze Airport","Weeze","Germany","NRN","EDLV",51.6024017334,6.14216995239,106,1,"E","Europe/Berlin","airport","OurAirports" 4199,"Francisco B. Reyes Airport","Busuanga","Philippines","USU","RPVV",12.1215000153,120.099998474,148,8,"N","Asia/Manila","airport","OurAirports" 4200,"Bancasi Airport","Butuan","Philippines","BXU","RPME",8.9515,125.4788,141,8,"N","Asia/Manila","airport","OurAirports" 4201,"Dipolog Airport","Dipolog","Philippines","DPL","RPMG",8.60198349877,123.341875076,12,8,"N","Asia/Manila","airport","OurAirports" 4202,"Laoag International Airport","Laoag","Philippines","LAO","RPLI",18.1781005859375,120.53199768066406,25,8,"N","Asia/Manila","airport","OurAirports" 4203,"Legazpi City International Airport","Legazpi","Philippines","LGP","RPLP",13.1575,123.735,66,8,"N","Asia/Manila","airport","OurAirports" 4204,"Labo Airport","Ozamis","Philippines","OZC","RPMO",8.178509712219238,123.84200286865234,75,8,"N","Asia/Manila","airport","OurAirports" 4206,"Mactan Cebu International Airport","Cebu","Philippines","CEB","RPVM",10.307499885559,123.97899627686,31,8,"N","Asia/Manila","airport","OurAirports" 4207,"Norden-Norddeich Airport","Norden","Germany","NOD","EDWS",53.633056640599996,7.19027805328,3,1,"E","Europe/Berlin","airport","OurAirports" 4208,"Juist Airport","Juist","Germany","JUI","EDWJ",53.68111038208008,7.055832862854004,7,1,"E","Europe/Berlin","airport","OurAirports" 4209,"Porto Seguro Airport","Porto Seguro","Brazil","BPS","SBPS",-16.438601,-39.080898,168,-3,"S","America/Fortaleza","airport","OurAirports" 4213,"Iguatu Airport","Iguatu","Brazil","QIG","SNIG",-6.346640110015869,-39.293800354003906,699,-3,"S","America/Fortaleza","airport","OurAirports" 4214,"Brigadeiro Lysias Rodrigues Airport","Palmas","Brazil","PMW","SBPJ",-10.291500091600001,-48.35699844359999,774,-3,"S","America/Fortaleza","airport","OurAirports" 4215,"Nelson Ribeiro Guimarães Airport","Caldas Novas","Brazil","CLV","SBCN",-17.725299835205,-48.607498168945,2247,-3,"S","America/Sao_Paulo","airport","OurAirports" 4216,"Missoula International Airport","Missoula","United States","MSO","KMSO",46.91630173,-114.0910034,3206,-7,"A","America/Denver","airport","OurAirports" 4217,"Blackall Airport","Blackall","Australia","BKQ","YBCK",-24.427799224900003,145.429000854,928,10,"O","Australia/Brisbane","airport","OurAirports" 4218,"Bundaberg Airport","Bundaberg","Australia","BDB","YBUD",-24.903900146499996,152.319000244,107,10,"O","Australia/Brisbane","airport","OurAirports" 4219,"Grand Canyon National Park Airport","Grand Canyon","United States","GCN","KGCN",35.95240020751953,-112.14700317382812,6609,-7,"N","America/Phoenix","airport","OurAirports" 4220,"Sugar Land Regional Airport","Sugar Land","United States","SGR","KSGR",29.622299194336,-95.65650177002,82,-6,"A","America/Chicago","airport","OurAirports" 4221,"Hayman Island Heliport","Hayman Island","Australia",\N,"YHYN",-20.0599,148.8834,8,10,"O","Australia/Brisbane","airport","OurAirports" 4222,"Centennial Airport","Denver","United States","APA","KAPA",39.57009888,-104.848999,5885,-7,"A","America/Denver","airport","OurAirports" 4223,"Clovis Municipal Airport","Clovis","United States","CVN","KCVN",34.4250984192,-103.07900238,4216,-7,"A","America/Denver","airport","OurAirports" 4224,"Fort Stockton Pecos County Airport","Fort Stockton","United States","FST","KFST",30.9157009125,-102.916000366,3011,-6,"A","America/Chicago","airport","OurAirports" 4225,"Las Vegas Municipal Airport","Las Vegas","United States","LVS","KLVS",35.6542015076,-105.141998291,6877,-7,"A","America/Denver","airport","OurAirports" 4226,"West Houston Airport","Houston","United States","IWS","KIWS",29.818199157699997,-95.67259979250001,111,-6,"A","America/Chicago","airport","OurAirports" 4227,"La Junta Municipal Airport","La Junta","United States",\N,"KLHX",38.04970169,-103.5090027,4229,-7,"A","America/Denver","airport","OurAirports" 4228,"Las Cruces International Airport","Las Cruces","United States","LRU","KLRU",32.289398193359375,-106.9219970703125,4456,-7,"A","America/Denver","airport","OurAirports" 4229,"Stephens County Airport","Breckenridge","United States","BKD","KBKD",32.71900177,-98.89099884030001,1284,-6,"A","America/Chicago","airport","OurAirports" 4230,"Draughon Miller Central Texas Regional Airport","Temple","United States","TPL","KTPL",31.15250015258789,-97.40779876708984,682,-6,"A","America/Chicago","airport","OurAirports" 4231,"Ozona Municipal Airport","Ozona","United States","OZA","KOZA",30.735300064087,-101.20300292969,2381,-6,"A","America/Chicago","airport","OurAirports" 4235,"Kaadedhdhoo Airport","Kaadedhdhoo","Maldives","KDM","VRMT",0.48813098669052124,72.99690246582031,2,5,"U","Indian/Maldives","airport","OurAirports" 4236,"Aklavik/Freddie Carmichael Airport","Aklavik","Canada","LAK","CYKD",68.223297,-135.00599,23,-7,"A","America/Edmonton","airport","OurAirports" 4237,"Déline Airport","Deline","Canada","YWJ","CYWJ",65.21109771728516,-123.43599700927734,703,-7,"A","America/Edmonton","airport","OurAirports" 4238,"Tulita Airport","Tulita","Canada","ZFN","CZFN",64.909697,-125.572998,332,-7,"A","America/Edmonton","airport","OurAirports" 4239,"Fort Good Hope Airport","Fort Good Hope","Canada","YGH","CYGH",66.24079895019531,-128.6510009765625,268,-7,"A","America/Edmonton","airport","OurAirports" 4242,"Tanna Airport","Tanna","Vanuatu","TAH","NVVW",-19.45509910583496,169.2239990234375,19,11,"U","Pacific/Efate","airport","OurAirports" 4244,"Paulatuk (Nora Aliqatchialuk Ruben) Airport","Paulatuk","Canada","YPC","CYPC",69.3608381154,-124.075469971,15,-7,"A","America/Edmonton","airport","OurAirports" 4247,"El Trompillo Airport","Santa Cruz","Bolivia","SRZ","SLET",-17.8115997314,-63.1715011597,1371,-4,"U","America/La_Paz","airport","OurAirports" 4249,"Juancho E. Yrausquin Airport","Saba","Netherlands Antilles","SAB","TNCS",17.645000457763672,-63.220001220703125,60,-4,"U","America/Curacao","airport","OurAirports" 4250,"Eagle County Regional Airport","Vail","United States","EGE","KEGE",39.64260101,-106.9179993,6548,-7,"A","America/Denver","airport","OurAirports" 4252,"Stokmarknes Skagen Airport","Stokmarknes","Norway","SKN","ENSK",68.578826904297,15.033416748047,11,1,"E","Europe/Oslo","airport","OurAirports" 4253,"Cuyahoga County Airport","Richmond Heights","United States","CGF","KCGF",41.5651016235,-81.4863967896,879,-5,"A","America/New_York","airport","OurAirports" 4254,"Mansfield Lahm Regional Airport","Mansfield","United States","MFD","KMFD",40.82139968869999,-82.5166015625,1297,-5,"A","America/New_York","airport","OurAirports" 4255,"Columbus Metropolitan Airport","Columbus","United States","CSG","KCSG",32.516300201416016,-84.93890380859375,397,-5,"A","America/New_York","airport","OurAirports" 4256,"Lawton Fort Sill Regional Airport","Lawton","United States","LAW","KLAW",34.5676994324,-98.4166030884,1110,-6,"A","America/Chicago","airport","OurAirports" 4257,"Northern Colorado Regional Airport","Fort Collins","United States","FNL","KFNL",40.451804,-105.011,5016,-7,"A","America/Denver","airport","OurAirports" 4261,"Flagstaff Pulliam Airport","Flagstaff","United States","FLG","KFLG",35.13850021,-111.6709976,7014,-7,"N","America/Phoenix","airport","OurAirports" 4262,"Lake Tahoe Airport","South Lake Tahoe","United States","TVL","KTVL",38.89390182495117,-119.99500274658203,6264,-8,"A","America/Los_Angeles","airport","OurAirports" 4263,"Joslin Field Magic Valley Regional Airport","Twin Falls","United States","TWF","KTWF",42.4818,-114.487999,4154,-7,"A","America/Denver","airport","OurAirports" 4265,"Martha's Vineyard Airport","Vineyard Haven MA","United States","MVY","KMVY",41.3931007385,-70.6143035889,67,-5,"A","America/New_York","airport","OurAirports" 4268,"Concord Municipal Airport","Concord NH","United States","CON","KCON",43.20270157,-71.50229645,342,-5,"A","America/New_York","airport","OurAirports" 4270,"Groton New London Airport","Groton CT","United States","GON","KGON",41.330101013183594,-72.04509735107422,9,-5,"A","America/New_York","airport","OurAirports" 4271,"St Cloud Regional Airport","Saint Cloud","United States","STC","KSTC",45.546600341796875,-94.05989837646484,1031,-6,"A","America/Chicago","airport","OurAirports" 4272,"Qinhuangdao Beidaihe Airport","Bagan","Burma","BPE","ZBDH",39.666389,119.058889,46,8,"U","Asia/Shanghai","airport","OurAirports" 4273,"Golden Triangle Regional Airport","Columbus Mississippi","United States","GTR","KGTR",33.450298309299995,-88.5914001465,264,-6,"A","America/Chicago","airport","OurAirports" 4274,"Nizhny Novgorod Strigino International Airport","Nizhniy Novgorod","Russia","GOJ","UWGG",56.230098724365,43.784000396729,256,3,"N","Europe/Moscow","airport","OurAirports" 4275,"Bowerman Airport","Hoquiam","United States","HQM","KHQM",46.971199035599994,-123.93699646,18,-8,"A","America/Los_Angeles","airport","OurAirports" 4276,"Erie International Tom Ridge Field","Erie","United States","ERI","KERI",42.0831270134,-80.1738667488,732,-5,"A","America/New_York","airport","OurAirports" 4278,"Barnstable Municipal Boardman Polando Field","Barnstable","United States","HYA","KHYA",41.66930008,-70.28040314,54,-5,"A","America/New_York","airport","OurAirports" 4279,"San Pedro Airport","San Pedro","Belize","SPR","MZSP",17.9139,-87.9711,4,-6,"U","America/Belize","airport","OurAirports" 4280,"Sedona Airport","Sedona","United States","SDX","KSEZ",34.848598480225,-111.78800201416,4830,-7,"A","America/Phoenix","airport","OurAirports" 4284,"Morgantown Municipal Walter L. Bill Hart Field","Morgantown","United States","MGW","KMGW",39.64289856,-79.91629791,1248,-5,"A","America/New_York","airport","OurAirports" 4285,"Yeager Airport","Charleston","United States","CRW","KCRW",38.37310028076172,-81.59320068359375,981,-5,"A","America/New_York","airport","OurAirports" 4286,"Wilkes Barre Scranton International Airport","Scranton","United States","AVP","KAVP",41.338500976599995,-75.72339630130001,962,-5,"A","America/New_York","airport","OurAirports" 4287,"Bemidji Regional Airport","Bemidji","United States","BJI","KBJI",47.50939941,-94.93370056,1391,-6,"A","America/Chicago","airport","OurAirports" 4289,"Thangool Airport","Biloela","Australia","THG","YTNG",-24.493900299072266,150.5760040283203,644,10,"O","Australia/Brisbane","airport","OurAirports" 4290,"Fagali'i Airport","Apia","Samoa","FGI","NSFI",-13.848699569699999,-171.740005493,131,13,"U","Pacific/Apia","airport","OurAirports" 4291,"Ballina Byron Gateway Airport","Ballina Byron Bay","Australia","BNK","YBNA",-28.8339004517,153.56199646,7,10,"O","Australia/Sydney","airport","OurAirports" 4292,"Hector International Airport","Fargo","United States","FAR","KFAR",46.92070007324219,-96.81580352783203,902,-6,"A","America/Chicago","airport","OurAirports" 4293,"Charles B. Wheeler Downtown Airport","Kansas City","United States","MKC","KMKC",39.123199462890625,-94.5927963256836,759,-6,"A","America/Chicago","airport","OurAirports" 4295,"Ratanakiri Airport","Ratanakiri","Cambodia","RBE","VDRK",13.729999542236328,106.98699951171875,0,7,"U","Asia/Phnom_Penh","airport","OurAirports" 4296,"Gillette Campbell County Airport","Gillette","United States","GCC","KGCC",44.348899841299996,-105.539001465,4365,-7,"A","America/Denver","airport","OurAirports" 4297,"Bogashevo Airport","Tomsk","Russia","TOF","UNTT",56.380298614502,85.208297729492,597,7,"N","Asia/Krasnoyarsk","airport","OurAirports" 4298,"El Toro Marine Corps Air Station","Santa Ana","United States","NZJ","KNZJ",33.67610168457031,-117.73100280761719,383,-8,"A","America/Los_Angeles","airport","OurAirports" 4299,"Phetchabun Airport","Phetchabun","Thailand","PHY","VTPB",16.6760005951,101.194999695,450,7,"U","Asia/Bangkok","airport","OurAirports" 4300,"Chumphon Airport","Chumphon","Thailand","CJM","VTSE",10.711199760437012,99.36170196533203,18,7,"U","Asia/Bangkok","airport","OurAirports" 4301,"Jiuzhai Huanglong Airport","Jiuzhaigou","China","JZH","ZUJZ",32.8533333333,103.682222222,11327,8,"U","Asia/Shanghai","airport","OurAirports" 4302,"Jieyang Chaoshan International Airport","Shantou","China","SWA","ZGOW",23.552,116.5033,0,8,"U","Asia/Shanghai","airport","OurAirports" 4303,"Enghien Moisselles Airfield","Enghien-moisselles","France",\N,"LFFE",49.046398,2.35306,335,1,"E","Europe/Paris","airport","OurAirports" 4304,"Cheddi Jagan International Airport","Georgetown","Guyana","GEO","SYCJ",6.498549938201904,-58.25410079956055,95,-4,"U","America/Guyana","airport","OurAirports" 4305,"Guarani International Airport","Ciudad del Este","Paraguay","AGT","SGES",-25.454516,-54.842682,846,-4,"S","America/Asuncion","airport","OurAirports" 4306,"Eugene F. Correira International Airport","Georgetown","Guyana","OGL","SYGO",6.80628,-58.1059,10,-4,"U","America/Guyana","airport","OurAirports" 4307,"Kaieteur International Airport","Kaieteur","Guyana","KAI","PKSA",5.17275476456,-59.491481781,1520,-4,"U","America/Guyana","airport","OurAirports" 4308,"Dunhuang Airport","Dunhuang","China","DNH","ZLDH",40.16109848022461,94.80919647216797,0,8,"U","Asia/Shanghai","airport","OurAirports" 4309,"Ancona Falconara Airport","Ancona","Italy","AOI","LIPY",43.616299,13.3623,49,1,"E","Europe/Rome","airport","OurAirports" 4312,"Chamonate Airport","Copiapo","Chile",\N,"SCHA",-27.2968997955,-70.4131011963,984,-4,"S","America/Santiago","airport","OurAirports" 4313,"Taba International Airport","Taba","Egypt","TCP","HETB",29.587799072299998,34.7780990601,2415,2,"U","Africa/Cairo","airport","OurAirports" 4314,"Edward Bodden Airfield","Little Cayman","Cayman Islands","LYB","MWCL",19.660161,-80.088826,3,-5,"N","America/Cayman","airport","OurAirports" 4315,"Milas Bodrum International Airport","Bodrum","Turkey","BJV","LTFE",37.25059890749999,27.6643009186,21,3,"E","Europe/Istanbul","airport","OurAirports" 4316,"Tabarka 7 Novembre Airport","Tabarka","Tunisia","TBJ","DTKA",36.97999954223633,8.87693977355957,230,1,"E","Africa/Tunis","airport","OurAirports" 4317,"Sabiha Gökçen International Airport","Istanbul","Turkey","SAW","LTFJ",40.898601532,29.3092002869,312,3,"E","Europe/Istanbul","airport","OurAirports" 4318,"University Park Airport","State College Pennsylvania","United States","SCE","KUNV",40.8493003845,-77.84870147710001,1239,-5,"A","America/New_York","airport","OurAirports" 4319,"Broome International Airport","Broome","Australia","BME","YBRM",-17.944700241088867,122.23200225830078,56,8,"O","Australia/Perth","airport","OurAirports" 4320,"Newcastle Airport","Newcastle","Australia","NTL","YWLM",-32.79499816894531,151.83399963378906,31,10,"O","Australia/Sydney","airport","OurAirports" 4321,"Bakki Airport","Bakki","Iceland",\N,"BIBA",63.55609893798828,-20.137500762939453,45,0,"N","Atlantic/Reykjavik","airport","OurAirports" 4322,"Klagenfurt Airport","Klagenfurt","Austria","KLU","LOWK",46.642502,14.3377,1472,1,"E","Europe/Vienna","airport","OurAirports" 4325,"Hammerfest Airport","Hammerfest","Norway","HFT","ENHF",70.679702758789,23.668600082397,266,1,"E","Europe/Oslo","airport","OurAirports" 4326,"Valan Airport","Honningsvag","Norway","HVG","ENHV",71.009696960449,25.983600616455,44,1,"E","Europe/Oslo","airport","OurAirports" 4327,"Mehamn Airport","Mehamn","Norway","MEH","ENMH",71.02970123291,27.826700210571,39,1,"E","Europe/Oslo","airport","OurAirports" 4328,"Vadsø Airport","Vadsø","Norway","VDS","ENVD",70.065299987793,29.844699859619,127,1,"E","Europe/Oslo","airport","OurAirports" 4330,"Imam Khomeini International Airport","Tehran","Iran","IKA","OIIE",35.416099548339844,51.152198791503906,3305,3.5,"E","Asia/Tehran","airport","OurAirports" 4331,"Mashhad International Airport","Mashhad","Iran","MHD","OIMM",36.235198974609375,59.64099884033203,3263,3.5,"E","Asia/Tehran","airport","OurAirports" 4333,"Ust-Ilimsk Airport","Ust Ilimsk","Russia","UIK","UIBS",58.13610076904297,102.56500244140625,1339,8,"N","Asia/Irkutsk","airport","OurAirports" 4335,"Key Field","Meridian","United States","MEI","KMEI",32.33259963989258,-88.75189971923828,297,-6,"A","America/Chicago","airport","OurAirports" 4336,"Abraham Lincoln Capital Airport","Springfield","United States","SPI","KSPI",39.84410095,-89.67790222,598,-6,"A","America/Chicago","airport","OurAirports" 4338,"Cortez Municipal Airport","Cortez","United States","CEZ","KCEZ",37.3030014038,-108.627998352,5918,-7,"A","America/Denver","airport","OurAirports" 4339,"Yampa Valley Airport","Hayden","United States","HDN","KHDN",40.48120117,-107.2180023,6606,-7,"A","America/Denver","airport","OurAirports" 4340,"Gallup Municipal Airport","Gallup","United States","GUP","KGUP",35.511100769,-108.789001465,6472,-7,"A","America/Denver","airport","OurAirports" 4341,"Liberal Mid-America Regional Airport","Liberal","United States","LBL","KLBL",37.0442009,-100.9599991,2885,-6,"A","America/Chicago","airport","OurAirports" 4342,"Lamar Municipal Airport","Lamar","United States","LAA","KLAA",38.069698333699996,-102.68800354,3706,-7,"A","America/Denver","airport","OurAirports" 4343,"Renner Field-Goodland Municipal Airport","Goodland","United States","GLD","KGLD",39.37060165,-101.6989975,3656,-7,"A","America/Denver","airport","OurAirports" 4344,"Yellowstone Regional Airport","Cody","United States","COD","KCOD",44.520198822,-109.024002075,5102,-7,"A","America/Denver","airport","OurAirports" 4345,"Ørsta-Volda Airport, Hovden","Orsta-Volda","Norway","HOV","ENOV",62.180000305176,6.0741000175476,243,1,"E","Europe/Oslo","airport","OurAirports" 4347,"St. Mary's Airport","ST MARY\'S","United Kingdom","ISC","EGHE",49.913299560546875,-6.291669845581055,116,0,"E","Europe/London","airport","OurAirports" 4348,"Springfield Branson National Airport","Springfield","United States","SGF","KSGF",37.24570084,-93.38860321,1268,-6,"A","America/Chicago","airport","OurAirports" 4349,"Narvik Framnes Airport","Narvik","Norway","NVK","ENNK",68.436897277832,17.386699676514,95,1,"E","Europe/Oslo","airport","OurAirports" 4350,"BerlevÃ¥g Airport","Berlevag","Norway","BVG","ENBV",70.871399,29.034201,42,1,"E","Europe/Oslo","airport","OurAirports" 4351,"Oslo, Fornebu Airport","Oslo","Norway","FBU","ENFB",59.89580154418945,10.617199897766113,0,1,"E","Europe/Oslo","airport","OurAirports" 4352,"Norilsk-Alykel Airport","Norilsk","Russia","NSK","UOOO",69.31109619140625,87.33219909667969,574,7,"N","Asia/Krasnoyarsk","airport","OurAirports" 4353,"Anapa Vityazevo Airport","Anapa","Russia","AAQ","URKA",45.002101898193,37.347301483154,174,3,"N","Europe/Moscow","airport","OurAirports" 4354,"Joplin Regional Airport","Joplin","United States","JLN","KJLN",37.151798248291016,-94.49829864501953,981,-6,"A","America/Chicago","airport","OurAirports" 4355,"Lehigh Valley International Airport","Allentown","United States","ABE","KABE",40.652099609375,-75.44080352783203,393,-5,"A","America/New_York","airport","OurAirports" 4356,"Northwest Arkansas Regional Airport","Bentonville","United States","XNA","KXNA",36.281898,-94.306801,1287,-6,"A","America/Chicago","airport","OurAirports" 4357,"Atyrau Airport","Atyrau","Kazakhstan","GUW","UATG",47.12189865112305,51.8213996887207,-72,5,"U","Asia/Oral","airport","OurAirports" 4358,"Kzyl-Orda Southwest Airport","Kzyl-Orda","Kazakhstan","KZO","UAOO",44.706902,65.592499,433,6,"U","Asia/Qyzylorda","airport","OurAirports" 4359,"South Bend Regional Airport","South Bend","United States","SBN","KSBN",41.70869827270508,-86.31729888916016,799,-5,"A","America/New_York","airport","OurAirports" 4360,"Bykovo Airport","Moscow","Russia","BKA","UUBB",55.6171989441,38.0600013733,427,3,"N","Europe/Moscow","airport","OurAirports" 4362,"Talagi Airport","Arkhangelsk","Russia","ARH","ULAA",64.60030364990234,40.71670150756836,62,3,"N","Europe/Moscow","airport","OurAirports" 4363,"Saratov Central Airport","Saratov","Russia","RTW","UWSS",51.564998626708984,46.04669952392578,499,3,"N","Europe/Moscow","airport","OurAirports" 4364,"Novy Urengoy Airport","Novy Urengoy","Russia","NUX","USMU",66.06939697265625,76.52030181884766,210,5,"N","Asia/Yekaterinburg","airport","OurAirports" 4365,"Noyabrsk Airport","Noyabrsk","Russia","NOJ","USRO",63.18330001831055,75.2699966430664,446,5,"N","Asia/Yekaterinburg","airport","OurAirports" 4367,"Aktau Airport","Aktau","Kazakhstan","SCO","UATE",43.8601,51.091999,73,5,"U","Asia/Oral","airport","OurAirports" 4368,"Ukhta Airport","Ukhta","Russia","UCT","UUYH",63.566898345947266,53.8046989440918,482,3,"N","Europe/Moscow","airport","OurAirports" 4369,"Usinsk Airport","Usinsk","Russia","USK","UUYS",66.00469970703125,57.3671989440918,262,3,"N","Europe/Moscow","airport","OurAirports" 4370,"Pechora Airport","Pechora","Russia","PEX","UUYP",65.12110137939453,57.13079833984375,98,3,"N","Europe/Moscow","airport","OurAirports" 4371,"Naryan Mar Airport","Naryan-Mar","Russia","NNM","ULAM",67.63999938964844,53.12189865112305,36,3,"N","Europe/Moscow","airport","OurAirports" 4372,"Pskov Airport","Pskov","Russia","PKV","ULOO",57.78390121459961,28.395599365234375,154,3,"N","Europe/Moscow","airport","OurAirports" 4373,"Kogalym International Airport","Kogalym","Russia","KGP","USRK",62.190399169921875,74.53379821777344,220,5,"N","Asia/Yekaterinburg","airport","OurAirports" 4374,"Yemelyanovo Airport","Krasnoyarsk","Russia","KJA","UNKL",56.172901,92.493301,942,7,"N","Asia/Krasnoyarsk","airport","OurAirports" 4375,"Sary-Arka Airport","Karaganda","Kazakhstan","KGF","UAKK",49.670799255371094,73.33439636230469,1765,6,"U","Asia/Qyzylorda","airport","OurAirports" 4376,"Novosibirsk North Airport","Novosibirsk","Russia",\N,"UNCC",55.09170150756836,82.90670013427734,558,7,"N","Asia/Krasnoyarsk","airport","OurAirports" 4377,"Uray Airport","Uraj","Russia","URJ","USHU",60.10329818725586,64.82669830322266,190,5,"N","Asia/Yekaterinburg","airport","OurAirports" 4379,"Ivanovo South Airport","Ivanovo","Russia","IWA","UUBI",56.93939971923828,40.940799713134766,410,3,"N","Europe/Moscow","airport","OurAirports" 4380,"Longjia Airport","Changchun","China","CGQ","ZYCC",43.9962005615,125.684997559,706,8,"U","Asia/Shanghai","airport","OurAirports" 4381,"Niigata Airport","Niigata","Japan","KIJ","RJSN",37.9558982849,139.121002197,29,9,"U","Asia/Tokyo","airport","OurAirports" 4382,"Johnston Atoll Airport","Johnston Island","Johnston Atoll","JON","PJON",16.7285995483,-169.533996582,7,-10,"U","Pacific/Johnston","airport","OurAirports" 4383,"Smith Field","Fort Wayne IN","United States","SMD","KSMD",41.14339828,-85.15280151,835,-5,"A","America/New_York","airport","OurAirports" 4384,"California Redwood Coast-Humboldt County Airport","Arcata CA","United States","ACV","KACV",40.978101,-124.109,221,-8,"A","America/Los_Angeles","airport","OurAirports" 4386,"Albert J Ellis Airport","Jacksonville NC","United States","OAJ","KOAJ",34.8292007446,-77.61209869380001,94,-5,"A","America/New_York","airport","OurAirports" 4387,"Tuscaloosa Regional Airport","Tuscaloosa AL","United States","TCL","KTCL",33.220600128174,-87.611396789551,170,-6,"A","America/Chicago","airport","OurAirports" 4388,"Dubuque Regional Airport","Dubuque IA","United States","DBQ","KDBQ",42.40200043,-90.70950317,1077,-6,"A","America/Chicago","airport","OurAirports" 4390,"Shun Tak Heliport","Hong Kong","Hong Kong","HHP","VHST",22.2893714905,114.152153015,107,8,"N","Asia/Hong_Kong","airport","OurAirports" 5404,"Uru Harbour Airport","Atoifi","Solomon Islands","ATD","AGAT",-8.87333,161.011002,0,11,"U","Pacific/Guadalcanal","airport","OurAirports" 5405,"Gwaunaru'u Airport","Auki","Solomon Islands","AKS","AGGA",-8.70257,160.682007,5,11,"U","Pacific/Guadalcanal","airport","OurAirports" 5406,"Ballalae Airport","Ballalae","Solomon Islands","BAS","AGGE",-6.990745,155.886656,5,11,"U","Pacific/Guadalcanal","airport","OurAirports" 5407,"Fera/Maringe Airport","Fera Island","Solomon Islands","FRE","AGGF",-8.1075,159.576996,0,11,"U","Pacific/Guadalcanal","airport","OurAirports" 5408,"Babanakira Airport","Mbambanakira","Solomon Islands","MBU","AGGI",-9.7475004196167,159.83900451660156,0,11,"U","Pacific/Guadalcanal","airport","OurAirports" 5409,"Ngorangora Airport","Kirakira","Solomon Islands","IRA","AGGK",-10.449700355500001,161.897994995,54,11,"U","Pacific/Guadalcanal","airport","OurAirports" 5410,"Santa Cruz/Graciosa Bay/Luova Airport","Santa Cruz/Graciosa Bay/Luova","Solomon Islands","SCZ","AGGL",-10.72029972076416,165.7949981689453,18,11,"U","Pacific/Guadalcanal","airport","OurAirports" 5411,"Munda Airport","Munda","Solomon Islands","MUA","AGGM",-8.327969551086426,157.26300048828125,10,11,"U","Pacific/Guadalcanal","airport","OurAirports" 5412,"Nusatupe Airport","Gizo","Solomon Islands","GZO","AGGN",-8.09778022766,156.863998413,13,11,"U","Pacific/Guadalcanal","airport","OurAirports" 5413,"Mono Airport","Stirling Island","Solomon Islands","MNY","AGGO",-7.416940212249756,155.56500244140625,0,11,"U","Pacific/Guadalcanal","airport","OurAirports" 5414,"Rennell/Tingoa Airport","Rennell Island","Solomon Islands","RNL","AGGR",-11.533900260925293,160.06300354003906,0,11,"U","Pacific/Guadalcanal","airport","OurAirports" 5415,"Marau Airport","Marau","Solomon Islands","RUS","AGGU",-9.861669540409999,160.824996948,0,11,"U","Pacific/Guadalcanal","airport","OurAirports" 5416,"Suavanao Airport","Suavanao","Solomon Islands","VAO","AGGV",-7.585559844970703,158.7310028076172,0,11,"U","Pacific/Guadalcanal","airport","OurAirports" 5417,"Kaghau Airport","Kagau Island","Solomon Islands","KGE","AGKG",-7.3305,157.585,30,11,"U","Pacific/Guadalcanal","airport","OurAirports" 5418,"Ramata Airport","Ramata","Solomon Islands","RBV","AGRM",-8.168060302734375,157.64300537109375,0,11,"U","Pacific/Guadalcanal","airport","OurAirports" 5419,"Buka Airport","Buka Island","Papua New Guinea","BUA","AYBK",-5.4223198890686035,154.67300415039062,11,10,"U","Pacific/Port_Moresby","airport","OurAirports" 5420,"Chimbu Airport","Kundiawa","Papua New Guinea","CMU","AYCH",-6.024290084838867,144.9709930419922,4974,10,"U","Pacific/Port_Moresby","airport","OurAirports" 5421,"Daru Airport","Daru","Papua New Guinea","DAU","AYDU",-9.08675956726,143.207992554,20,10,"U","Pacific/Port_Moresby","airport","OurAirports" 5422,"Gurney Airport","Gurney","Papua New Guinea","GUR","AYGN",-10.3114995956,150.333999634,88,10,"U","Pacific/Port_Moresby","airport","OurAirports" 5423,"Girua Airport","Girua","Papua New Guinea","PNP","AYGR",-8.80453968048,148.309005737,311,10,"U","Pacific/Port_Moresby","airport","OurAirports" 5424,"Kimbe Airport","Hoskins","Papua New Guinea","HKN","AYHK",-5.462170124053955,150.40499877929688,66,10,"U","Pacific/Port_Moresby","airport","OurAirports" 5425,"Kiunga Airport","Kiunga","Papua New Guinea","UNG","AYKI",-6.1257100105285645,141.28199768066406,88,10,"U","Pacific/Port_Moresby","airport","OurAirports" 5426,"Kikori Airport","Kikori","Papua New Guinea","KRI","AYKK",-7.424379825592041,144.2500762939453,50,10,"U","Pacific/Port_Moresby","airport","OurAirports" 5427,"Kerema Airport","Kerema","Papua New Guinea","KMA","AYKM",-7.96361017227,145.770996094,10,10,"U","Pacific/Port_Moresby","airport","OurAirports" 5428,"Kavieng Airport","Kavieng","Papua New Guinea","KVG","AYKV",-2.57940006256,150.807998657,7,10,"U","Pacific/Port_Moresby","airport","OurAirports" 5429,"Mendi Airport","Mendi","Papua New Guinea","MDU","AYMN",-6.14774,143.656998,5680,10,"U","Pacific/Port_Moresby","airport","OurAirports" 5430,"Momote Airport","Momote","Papua New Guinea","MAS","AYMO",-2.06189,147.423996,12,10,"U","Pacific/Port_Moresby","airport","OurAirports" 5431,"Moro Airport","Moro","Papua New Guinea","MXH","AYMR",-6.36332988739,143.238006592,2740,10,"U","Pacific/Port_Moresby","airport","OurAirports" 5432,"Misima Island Airport","Misima Island","Papua New Guinea","MIS","AYMS",-10.689200401299999,152.837997437,26,10,"U","Pacific/Port_Moresby","airport","OurAirports" 5433,"Tari Airport","Tari","Papua New Guinea","TIZ","AYTA",-5.84499979019,142.947998047,5500,10,"U","Pacific/Port_Moresby","airport","OurAirports" 5434,"Tabubil Airport","Tabubil","Papua New Guinea","TBG","AYTB",-5.27861,141.225998,1570,10,"U","Pacific/Port_Moresby","airport","OurAirports" 5435,"Tokua Airport","Tokua","Papua New Guinea","RAB","AYTK",-4.34045982361,152.380004883,32,10,"U","Pacific/Port_Moresby","airport","OurAirports" 5436,"Vanimo Airport","Vanimo","Papua New Guinea","VAI","AYVN",-2.6926,141.3028,10,10,"U","Pacific/Port_Moresby","airport","OurAirports" 5437,"Wapenamanda Airport","Wapenamanda","Papua New Guinea","WBM","AYWD",-5.6433000564575195,143.89500427246094,5889,10,"U","Pacific/Port_Moresby","airport","OurAirports" 5438,"Alluitsup Paa Heliport","Alluitsup Paa","Greenland","LLU","BGAP",60.46445,-45.56917,54,-3,"E","America/Godthab","airport","OurAirports" 5439,"Neerlerit Inaat Airport","Neerlerit Inaat","Greenland","CNP","BGCO",70.7431030273,-22.6504993439,45,-1,"E","America/Scoresbysund","airport","OurAirports" 5440,"Paamiut Heliport","Paamiut","Greenland","JFR","BGFH",61.9921989441,-49.6624984741,63,-3,"E","America/Godthab","airport","OurAirports" 5441,"Qeqertarsuaq Heliport","Qeqertarsuaq Airport","Greenland","JGO","BGGN",69.251181993,-53.5148763657,9,-3,"E","America/Godthab","airport","OurAirports" 5442,"Qaqortoq Heliport","Qaqortoq","Greenland","JJU","BGJH",60.715684155299996,-46.0299186409,53,-3,"E","America/Godthab","airport","OurAirports" 5443,"Maniitsoq Airport","Maniitsoq","Greenland","JSU","BGMQ",65.4124984741,-52.9393997192,91,-3,"E","America/Godthab","airport","OurAirports" 5444,"Nanortalik Heliport","Nanortalik","Greenland","JNN","BGNN",60.141883975899994,-45.232976675,17,-3,"E","America/Godthab","airport","OurAirports" 5445,"Narsaq Heliport","Narsaq","Greenland","JNS","BGNS",60.9172827256,-46.059923172,83,-3,"E","America/Godthab","airport","OurAirports" 5446,"Qaanaaq Airport","Qaanaaq","Greenland","NAQ","BGQQ",77.4886016846,-69.3887023926,51,-4,"E","America/Thule","airport","OurAirports" 5447,"Sisimiut Airport","Sisimiut","Greenland","JHS","BGSS",66.9513015747,-53.7293014526,33,-3,"E","America/Godthab","airport","OurAirports" 5448,"Upernavik Airport","Upernavik","Greenland","JUV","BGUK",72.7901992798,-56.1305999756,414,-3,"E","America/Godthab","airport","OurAirports" 5449,"Qaarsut Airport","Uummannaq","Greenland","JQA","BGUQ",70.7341995239,-52.6962013245,289,-3,"E","America/Godthab","airport","OurAirports" 5450,"Grímsey Airport","Grímsey","Iceland","GRY","BIGR",66.5458,-18.0173,66,0,"N","Atlantic/Reykjavik","airport","OurAirports" 5452,"Thorshofn Airport","Thorshofn","Iceland","THO","BITN",66.21849822998047,-15.335599899291992,65,0,"N","Atlantic/Reykjavik","airport","OurAirports" 5453,"Vopnafjörður Airport","Vopnafjörður","Iceland","VPN","BIVO",65.72059631347656,-14.850600242614746,16,0,"N","Atlantic/Reykjavik","airport","OurAirports" 5456,"Whistler/Green Lake Water Aerodrome","Whistler","Canada","YWS","CAE5",50.1436004639,-122.948997498,2100,-8,"A","America/Vancouver","airport","OurAirports" 5457,"Anahim Lake Airport","Anahim Lake","Canada","YAA","CAJ4",52.45249938964844,-125.3030014038086,3635,-8,"A","America/Vancouver","airport","OurAirports" 5458,"Williams Harbour Airport","Williams Harbour","Canada","YWM","CCA6",52.566898345947266,-55.784698486328125,70,-3.5,"A","America/St_Johns","airport","OurAirports" 5459,"St. Lewis (Fox Harbour) Airport","St. Lewis","Canada","YFX","CCK4",52.372798919677734,-55.67390060424805,74,-3.5,"A","America/St_Johns","airport","OurAirports" 5460,"Port Hope Simpson Airport","Port Hope Simpson","Canada","YHA","CCP4",52.528099060058594,-56.28609848022461,347,-3.5,"A","America/St_Johns","airport","OurAirports" 5461,"Rigolet Airport","Rigolet","Canada","YRG","CCZ2",54.1796989440918,-58.45750045776367,180,-4,"A","America/Halifax","airport","OurAirports" 5462,"Colville Lake Airport","Colville Lake","Canada","YCK","CEB3",67.0392,-126.08,850,-7,"A","America/Edmonton","airport","OurAirports" 5463,"Whatì Airport","Whatì","Canada","YLE","CEM3",63.13169860839844,-117.24600219726562,882,-7,"A","America/Edmonton","airport","OurAirports" 5464,"Summer Beaver Airport","Summer Beaver","Canada","SUR","CJV7",52.70859909057617,-88.54190063476562,832,-5,"A","America/Toronto","airport","OurAirports" 5465,"Wapekeka Airport","Angling Lake","Canada","YAX","CKB6",53.84920120239258,-89.57939910888672,712,-6,"A","America/Winnipeg","airport","OurAirports" 5466,"Wunnumin Lake Airport","Wunnumin Lake","Canada","WNN","CKL3",52.89390182495117,-89.28919982910156,819,-5,"A","America/Toronto","airport","OurAirports" 5467,"North Spirit Lake Airport","North Spirit Lake","Canada","YNO","CKQ3",52.4900016784668,-92.97109985351562,1082,-6,"A","America/Winnipeg","airport","OurAirports" 5468,"Bearskin Lake Airport","Bearskin Lake","Canada","XBE","CNE3",53.965599060058594,-91.0271987915039,800,-6,"A","America/Winnipeg","airport","OurAirports" 5469,"Kingfisher Lake Airport","Kingfisher Lake","Canada","KIF","CNM5",53.01250076293945,-89.85530090332031,866,-5,"A","America/Toronto","airport","OurAirports" 5470,"Ogoki Post Airport","Ogoki Post","Canada","YOG","CNT3",51.6585998535,-85.9017028809,594,-5,"A","America/Toronto","airport","OurAirports" 5471,"Poplar Hill Airport","Poplar Hill","Canada","YHP","CPV7",52.1133,-94.2556,1095,-6,"A","America/Winnipeg","airport","OurAirports" 5472,"Chisasibi Airport","Chisasibi","Canada","YKU","CSU2",53.805599212646484,-78.91690063476562,43,-5,"A","America/Toronto","airport","OurAirports" 5473,"Tête-à-la-Baleine Airport","Tête-à-la-Baleine","Canada","ZTB","CTB6",50.674400329589844,-59.38359832763672,107,-4,"A","America/Blanc-Sablon","airport","OurAirports" 5474,"La Tabatière Airport","La Tabatière","Canada","ZLT","CTU5",50.8307991027832,-58.97560119628906,102,-4,"A","America/Blanc-Sablon","airport","OurAirports" 5478,"Cat Lake Airport","Cat Lake","Canada","YAC","CYAC",51.72719955444336,-91.82440185546875,1344,-6,"A","America/Winnipeg","airport","OurAirports" 5479,"Fort Frances Municipal Airport","Fort Frances","Canada","YAG","CYAG",48.65420150756836,-93.439697265625,1125,-6,"A","America/Winnipeg","airport","OurAirports" 5480,"Kasabonika Airport","Kasabonika","Canada","XKS","CYAQ",53.52470016479492,-88.6427993774414,672,-5,"A","America/Toronto","airport","OurAirports" 5481,"Kangirsuk Airport","Kangirsuk","Canada","YKG","CYAS",60.027198791503906,-69.99919891357422,403,-5,"A","America/Toronto","airport","OurAirports" 5482,"Attawapiskat Airport","Attawapiskat","Canada","YAT","CYAT",52.9275016784668,-82.43190002441406,31,-5,"A","America/Toronto","airport","OurAirports" 5483,"Lac Du Bonnet Airport","Lac Du Bonnet","Canada",\N,"CYAX",50.2943992615,-96.0100021362,850,-6,"A","America/Winnipeg","airport","OurAirports" 5484,"Uranium City Airport","Uranium City","Canada","YBE","CYBE",59.5614013671875,-108.48100280761719,1044,-6,"N","America/Regina","airport","OurAirports" 5485,"Lourdes de Blanc Sablon Airport","Lourdes-De-Blanc-Sablon","Canada","YBX","CYBX",51.443599700899995,-57.185298919699996,121,-4,"A","America/Blanc-Sablon","airport","OurAirports" 5486,"Cartwright Airport","Cartwright","Canada","YRF","CYCA",53.68280029296875,-57.041900634765625,40,-4,"A","America/Halifax","airport","OurAirports" 5487,"Chesterfield Inlet Airport","Chesterfield Inlet","Canada","YCS","CYCS",63.346900939899996,-90.73110198970001,32,-6,"A","America/Winnipeg","airport","OurAirports" 5488,"Nain Airport","Nain","Canada","YDP","CYDP",56.549198150634766,-61.680301666259766,22,-4,"A","America/Halifax","airport","OurAirports" 5489,"Fort Severn Airport","Fort Severn","Canada","YER","CYER",56.01890182495117,-87.67610168457031,48,-5,"A","America/Toronto","airport","OurAirports" 5490,"Fort Albany Airport","Fort Albany","Canada","YFA","CYFA",52.20140075683594,-81.6968994140625,48,-5,"A","America/Toronto","airport","OurAirports" 5491,"Fort Hope Airport","Fort Hope","Canada","YFH","CYFH",51.5619010925293,-87.90779876708984,899,-5,"A","America/Toronto","airport","OurAirports" 5492,"Makkovik Airport","Makkovik","Canada","YMN","CYFT",55.076900482177734,-59.1864013671875,234,-4,"A","America/Halifax","airport","OurAirports" 5493,"Texada Gillies Bay Airport","Texada","Canada","YGB","CYGB",49.69419860839844,-124.51799774169922,326,-8,"A","America/Vancouver","airport","OurAirports" 5494,"Gods Lake Narrows Airport","Gods Lake Narrows","Canada","YGO","CYGO",54.55889892578125,-94.49140167236328,617,-6,"A","America/Winnipeg","airport","OurAirports" 5495,"Igloolik Airport","Igloolik","Canada","YGT","CYGT",69.3647003174,-81.8161010742,174,-5,"A","America/Toronto","airport","OurAirports" 5496,"Kuujjuarapik Airport","Kuujjuarapik","Canada","YGW","CYGW",55.281898498535156,-77.76529693603516,34,-5,"A","America/Toronto","airport","OurAirports" 5497,"Gillam Airport","Gillam","Canada","YGX","CYGX",56.35749816894531,-94.71060180664062,476,-6,"A","America/Winnipeg","airport","OurAirports" 5498,"Grise Fiord Airport","Grise Fiord","Canada","YGZ","CYGZ",76.4261016846,-82.90920257570001,146,-5,"A","America/Toronto","airport","OurAirports" 5499,"Quaqtaq Airport","Quaqtaq","Canada","YQC","CYHA",61.0463981628418,-69.6177978515625,103,-5,"A","America/Toronto","airport","OurAirports" 5500,"Vancouver Harbour Water Aerodrome","Vancouver","Canada","CXH","CYHC",49.2943992615,-123.111000061,0,-8,"A","America/Vancouver","airport","OurAirports" 5501,"Nemiscau Airport","Nemiscau","Canada","YNS","CYHH",51.69110107421875,-76.1355972290039,802,-5,"A","America/Toronto","airport","OurAirports" 5502,"Hopedale Airport","Hopedale","Canada","YHO","CYHO",55.448299407958984,-60.228599548339844,39,-4,"A","America/Halifax","airport","OurAirports" 5503,"Chevery Airport","Chevery","Canada","YHR","CYHR",50.46889877319336,-59.63669967651367,39,-4,"A","America/Blanc-Sablon","airport","OurAirports" 5504,"Ivujivik Airport","Ivujivik","Canada","YIK","CYIK",62.417301177978516,-77.92530059814453,126,-5,"A","America/Toronto","airport","OurAirports" 5505,"Island Lake Airport","Island Lake","Canada","YIV","CYIV",53.857200622558594,-94.65360260009766,770,-6,"A","America/Winnipeg","airport","OurAirports" 5506,"Akulivik Airport","Akulivik","Canada","AKV","CYKO",60.818599700927734,-78.14859771728516,75,-5,"A","America/Toronto","airport","OurAirports" 5507,"Waskaganish Airport","Waskaganish","Canada","YKQ","CYKQ",51.47330093383789,-78.75830078125,80,-5,"A","America/Toronto","airport","OurAirports" 5508,"Aupaluk Airport","Aupaluk","Canada","YPJ","CYLA",59.29669952392578,-69.59970092773438,119,-5,"A","America/Toronto","airport","OurAirports" 5509,"Kimmirut Airport","Kimmirut","Canada","YLC","CYLC",62.8499984741,-69.88330078119999,175,-5,"A","America/Toronto","airport","OurAirports" 5510,"Lansdowne House Airport","Lansdowne House","Canada","YLH","CYLH",52.19559860229492,-87.93419647216797,834,-5,"A","America/Toronto","airport","OurAirports" 5511,"St Georges Airport","Lutselk'e","Canada",\N,"CYSG",46.096401,-70.714699,893,-5,"A","America/Toronto","airport","OurAirports" 5512,"Kangiqsualujjuaq (Georges River) Airport","Kangiqsualujjuaq","Canada","XGR","CYLU",58.71139907836914,-65.9927978515625,215,-5,"A","America/Toronto","airport","OurAirports" 5513,"Mary's Harbour Airport","Mary's Harbour","Canada","YMH","CYMH",52.302799224853516,-55.847198486328125,38,-3.5,"A","America/St_Johns","airport","OurAirports" 5514,"Chapais Airport","Chibougamau","Canada","YMT","CYMT",49.77190017700195,-74.5280990600586,1270,-5,"A","America/Toronto","airport","OurAirports" 5515,"Umiujaq Airport","Umiujaq","Canada","YUD","CYMU",56.53609848022461,-76.51830291748047,250,-5,"A","America/Toronto","airport","OurAirports" 5516,"Wemindji Airport","Wemindji","Canada","YNC","CYNC",53.01060104370117,-78.83110046386719,66,-5,"A","America/Toronto","airport","OurAirports" 5517,"Norway House Airport","Norway House","Canada","YNE","CYNE",53.95830154418945,-97.84420013427734,734,-6,"A","America/Winnipeg","airport","OurAirports" 5518,"Points North Landing Airport","Points North Landing","Canada","YNL","CYNL",58.27669906616211,-104.08200073242188,1605,-6,"N","America/Regina","airport","OurAirports" 5519,"Oxford House Airport","Oxford House","Canada","YOH","CYOH",54.93330001831055,-95.27890014648438,663,-6,"A","America/Winnipeg","airport","OurAirports" 5520,"Inukjuak Airport","Inukjuak","Canada","YPH","CYPH",58.471900939941406,-78.07689666748047,83,-5,"A","America/Toronto","airport","OurAirports" 5521,"Pikangikum Airport","Pikangikum","Canada","YPM","CYPM",51.819698333740234,-93.97329711914062,1114,-6,"A","America/Winnipeg","airport","OurAirports" 5522,"Peawanuck Airport","Peawanuck","Canada","YPO","CYPO",54.98809814453125,-85.44329833984375,173,-5,"A","America/Toronto","airport","OurAirports" 5523,"Powell River Airport","Powell River","Canada","YPW","CYPW",49.83420181274414,-124.5,425,-8,"A","America/Vancouver","airport","OurAirports" 5524,"The Pas Airport","The Pas","Canada","YQD","CYQD",53.97140121459961,-101.09100341796875,887,-6,"A","America/Winnipeg","airport","OurAirports" 5525,"Nakina Airport","Nakina","Canada","YQN","CYQN",50.18280029296875,-86.69640350341797,1057,-5,"A","America/Toronto","airport","OurAirports" 5526,"Rae Lakes Airport","Gamètì","Canada","YRA","CYRA",64.11609649658203,-117.30999755859375,723,-7,"A","America/Edmonton","airport","OurAirports" 5527,"Red Lake Airport","Red Lake","Canada","YRL","CYRL",51.066898345947266,-93.79309844970703,1265,-6,"A","America/Winnipeg","airport","OurAirports" 5528,"Stony Rapids Airport","Stony Rapids","Canada","YSF","CYSF",59.250301361083984,-105.84100341796875,805,-6,"N","America/Regina","airport","OurAirports" 5529,"Sanikiluaq Airport","Sanikiluaq","Canada","YSK","CYSK",56.5377998352,-79.2466964722,104,-5,"A",\N,"airport","OurAirports" 5530,"St. Theresa Point Airport","St. Theresa Point","Canada","YST","CYST",53.84560012817383,-94.85189819335938,773,-6,"A","America/Winnipeg","airport","OurAirports" 5531,"Big Trout Lake Airport","Big Trout Lake","Canada","YTL","CYTL",53.81779861450195,-89.89689636230469,729,-6,"A","America/Winnipeg","airport","OurAirports" 5532,"Deer Lake Airport","Deer Lake","Canada","YVZ","CYVZ",52.655799865722656,-94.0614013671875,1092,-6,"A","America/Winnipeg","airport","OurAirports" 5533,"Webequie Airport","Webequie","Canada","YWP","CYWP",52.9593933975,-87.3748683929,685,-5,"A","America/Toronto","airport","OurAirports" 5534,"Whale Cove Airport","Whale Cove","Canada","YXN","CYXN",62.24000167849999,-92.59809875490001,40,-6,"A","America/Winnipeg","airport","OurAirports" 5535,"Salluit Airport","Salluit","Canada","YZG","CYZG",62.17940139770508,-75.66719818115234,743,-5,"A","America/Toronto","airport","OurAirports" 5536,"York Landing Airport","York Landing","Canada","ZAC","CZAC",56.08940124511719,-96.08920288085938,621,-6,"A","America/Winnipeg","airport","OurAirports" 5537,"Ilford Airport","Ilford","Canada","ILF","CZBD",56.0614013672,-95.613899231,642,-6,"A","America/Winnipeg","airport","OurAirports" 5538,"Bathurst Airport","Bathurst","Canada","ZBF","CZBF",47.629699707,-65.738899231,193,-4,"A","America/Halifax","airport","OurAirports" 5539,"Eastmain River Airport","Eastmain River","Canada","ZEM","CZEM",52.22639846801758,-78.52249908447266,24,-5,"A","America/Toronto","airport","OurAirports" 5540,"Fond-Du-Lac Airport","Fond-Du-Lac","Canada","ZFD","CZFD",59.33440017700195,-107.18199920654297,814,-6,"N","America/Regina","airport","OurAirports" 5541,"Gods River Airport","Gods River","Canada","ZGI","CZGI",54.839698791503906,-94.07859802246094,627,-6,"A","America/Winnipeg","airport","OurAirports" 5542,"Swan River Airport","Swan River","Canada","ZJN","CZJN",52.120601654052734,-101.23600006103516,1100,-6,"A","America/Winnipeg","airport","OurAirports" 5543,"Kashechewan Airport","Kashechewan","Canada","ZKE","CZKE",52.282501220703125,-81.67780303955078,35,-5,"A","America/Toronto","airport","OurAirports" 5544,"Muskrat Dam Airport","Muskrat Dam","Canada","MSA","CZMD",53.44139862060547,-91.76280212402344,911,-6,"A","America/Winnipeg","airport","OurAirports" 5545,"Masset Airport","Masset","Canada","ZMT","CZMT",54.02750015258789,-132.125,25,-8,"A","America/Vancouver","airport","OurAirports" 5546,"Sachigo Lake Airport","Sachigo Lake","Canada","ZPB","CZPB",53.8911018371582,-92.19640350341797,876,-6,"A","America/Winnipeg","airport","OurAirports" 5547,"Round Lake (Weagamow Lake) Airport","Round Lake","Canada","ZRJ","CZRJ",52.943599700927734,-91.31279754638672,974,-6,"A","America/Winnipeg","airport","OurAirports" 5548,"Sandy Lake Airport","Sandy Lake","Canada","ZSJ","CZSJ",53.06420135498047,-93.34439849853516,951,-6,"A","America/Winnipeg","airport","OurAirports" 5549,"Shamattawa Airport","Shamattawa","Canada","ZTM","CZTM",55.8656005859375,-92.0813980102539,289,-6,"A","America/Winnipeg","airport","OurAirports" 5550,"Churchill Falls Airport","Churchill Falls","Canada","ZUM","CZUM",53.5619010925293,-64.10639953613281,1442,-4,"A","America/Halifax","airport","OurAirports" 5551,"Wollaston Lake Airport","Wollaston Lake","Canada","ZWL","CZWL",58.10689926147461,-103.1719970703125,1360,-6,"N","America/Regina","airport","OurAirports" 5552,"Batna Airport","Batna","Algeria","BLJ","DABT",35.752101898199996,6.308589935300001,2697,1,"N","Africa/Algiers","airport","OurAirports" 5553,"Béchar Boudghene Ben Ali Lotfi Airport","Béchar","Algeria","CBH","DAOR",31.645700454711914,-2.269860029220581,2661,1,"N","Africa/Algiers","airport","OurAirports" 5554,"Bordj Badji Mokhtar Airport","Bordj Badji Mokhtar","Algeria","BMW","DATM",21.375,0.923888981342,1303,1,"N","Africa/Algiers","airport","OurAirports" 5555,"Guemar Airport","Guemar","Algeria","ELU","DAUO",33.5113983154,6.77679014206,203,1,"N","Africa/Algiers","airport","OurAirports" 5556,"Kumasi Airport","Kumasi","Ghana","KMS","DGSI",6.714560031890869,-1.5908199548721313,942,0,"N","Africa/Accra","airport","OurAirports" 5557,"Heringsdorf Airport","Heringsdorf","Germany","HDF","EDAH",53.8787002563,14.152299881,93,1,"E","Europe/Berlin","airport","OurAirports" 5558,"Heide-Büsum Airport","Büsum","Germany","HEI","EDXB",54.153331756600004,8.90166664124,7,1,"E","Europe/Berlin","airport","OurAirports" 5559,"Helgoland-Düne Airport","Helgoland","Germany","HGL","EDXH",54.185279846200004,7.91583299637,8,1,"E","Europe/Berlin","airport","OurAirports" 5560,"Seinäjoki Airport","Seinäjoki / Ilmajoki","Finland","SJY","EFSI",62.692101,22.8323,302,2,"E","Europe/Helsinki","airport","OurAirports" 5561,"Nottingham Airport","Nottingham","United Kingdom","NQT","EGBN",52.91999816894531,-1.0791699886322021,138,0,"E","Europe/London","airport","OurAirports" 5562,"Robin Hood Doncaster Sheffield Airport","Doncaster, Sheffield","United Kingdom","DSA","EGCN",53.4805378105,-1.01065635681,55,0,"E","Europe/London","airport","OurAirports" 5563,"Campbeltown Airport","Campbeltown","United Kingdom","CAL","EGEC",55.437198638916016,-5.686389923095703,42,0,"E","Europe/London","airport","OurAirports" 5564,"Eday Airport","Eday","United Kingdom","EOI","EGED",59.19060134887695,-2.7722198963165283,10,0,"E","Europe/London","airport","OurAirports" 5565,"Fair Isle Airport","Fair Isle","United Kingdom","FIE","EGEF",59.53580093383789,-1.628059983253479,223,0,"E","Europe/London","airport","OurAirports" 5566,"North Ronaldsay Airport","North Ronaldsay","United Kingdom","NRL","EGEN",59.3675003052,-2.43443989754,40,0,"E","Europe/London","airport","OurAirports" 5567,"Papa Westray Airport","Papa Westray","United Kingdom","PPW","EGEP",59.351699829100006,-2.9002799987800003,91,0,"E","Europe/London","airport","OurAirports" 5568,"Stronsay Airport","Stronsay","United Kingdom","SOY","EGER",59.1553001404,-2.64139008522,39,0,"E","Europe/London","airport","OurAirports" 5569,"Sanday Airport","Sanday","United Kingdom","NDY","EGES",59.250301361083984,-2.576669931411743,68,0,"E","Europe/London","airport","OurAirports" 5570,"Lerwick / Tingwall Airport","Lerwick","United Kingdom","LWK","EGET",60.192199707,-1.24361002445,43,0,"E","Europe/London","airport","OurAirports" 5571,"Westray Airport","Westray","United Kingdom","WRY","EGEW",59.3502998352,-2.95000004768,29,0,"E","Europe/London","airport","OurAirports" 5572,"Land's End Airport","Land's End","United Kingdom","LEQ","EGHC",50.102798,-5.67056,398,0,"E","Europe/London","airport","OurAirports" 5573,"Penzance Heliport","Penzance","United Kingdom","PZE","EGHK",50.128101,-5.51845,14,0,"E","Europe/London","airport","OurAirports" 5574,"Anglesey Airport","Angelsey","United Kingdom","VLY","EGOV",53.2481002808,-4.53533983231,37,0,"E","Europe/London","airport","OurAirports" 5575,"Barra Airport","Barra","United Kingdom","BRR","EGPR",57.0228,-7.44306,5,0,"E","Europe/London","airport","OurAirports" 5577,"Donegal Airport","Dongloe","Ireland","CFN","EIDL",55.0442008972168,-8.340999603271484,30,0,"E","Europe/Dublin","airport","OurAirports" 5578,"Weston Airport","Leixlip","Ireland",\N,"EIWT",53.3521995544,-6.48611021042,150,0,"E","Europe/Dublin","airport","OurAirports" 5579,"Sindal Airport","Sindal","Denmark","CNL","EKSN",57.503502,10.2294,92,1,"N","Europe/Copenhagen","airport","OurAirports" 5580,"Leknes Airport","Leknes","Norway","LKN","ENLK",68.152496337891,13.609399795532,78,1,"E","Europe/Oslo","airport","OurAirports" 5581,"Namsos Høknesøra Airport","Namsos","Norway","OSY","ENNM",64.472198486328,11.57859992981,7,1,"E","Europe/Oslo","airport","OurAirports" 5582,"Mo i Rana Airport, Røssvoll","Mo i Rana","Norway","MQN","ENRA",66.363899230957,14.301400184631,229,1,"E","Europe/Oslo","airport","OurAirports" 5583,"Rørvik Airport, Ryum","Rørvik","Norway","RVK","ENRM",64.838302612305,11.14610004425,14,1,"E","Europe/Oslo","airport","OurAirports" 5584,"Røst Airport","Røst","Norway","RET","ENRS",67.527801513672,12.103300094604,7,1,"E","Europe/Oslo","airport","OurAirports" 5585,"Sandane Airport (Anda)","Sandane","Norway","SDN","ENSD",61.830001831055,6.1058301925659,196,1,"E","Europe/Oslo","airport","OurAirports" 5586,"Sogndal Airport","Sogndal","Norway","SOG","ENSG",61.156101,7.13778,1633,1,"E","Europe/Oslo","airport","OurAirports" 5587,"Svolvær Helle Airport","Svolvær","Norway","SVJ","ENSH",68.243301391602,14.669199943542,27,1,"E","Europe/Oslo","airport","OurAirports" 5588,"Sørkjosen Airport","Sorkjosen","Norway","SOJ","ENSR",69.786796569824,20.959400177002,16,1,"E","Europe/Oslo","airport","OurAirports" 5589,"Vardø Airport, Svartnes","Vardø","Norway","VAW","ENSS",70.355400085449,31.044900894165,42,1,"E","Europe/Oslo","airport","OurAirports" 5590,"Værøy Heliport","Værøy","Norway","VRY","ENVR",67.654555,12.727257,12,1,"E","Europe/Oslo","airport","OurAirports" 5591,"Bydgoszcz Ignacy Jan Paderewski Airport","Bydgoszcz","Poland","BZG","EPBY",53.096801757799994,17.9776992798,235,1,"E","Europe/Warsaw","airport","OurAirports" 5592,"Åódź WÅ‚adysÅ‚aw Reymont Airport","Lodz","Poland","LCJ","EPLL",51.721900939899996,19.3980998993,604,1,"E","Europe/Warsaw","airport","OurAirports" 5593,"Ã…re Östersund Airport","Östersund","Sweden","OSD","ESNZ",63.194400787354,14.50030040741,1233,1,"E","Europe/Stockholm","airport","OurAirports" 5594,"Hagfors Airport","Hagfors","Sweden","HFS","ESOH",60.02009963989258,13.578900337219238,474,1,"E","Europe/Stockholm","airport","OurAirports" 5595,"Karlstad Airport","Karlstad","Sweden","KSD","ESOK",59.444698333699996,13.337400436400001,352,1,"E","Europe/Stockholm","airport","OurAirports" 5596,"Torsby Airport","Torsby","Sweden","TYF","ESST",60.1576004028,12.991299629199998,393,1,"E","Europe/Stockholm","airport","OurAirports" 5597,"Ängelholm-Helsingborg Airport","Ängelholm","Sweden","AGH","ESTA",56.29610061645508,12.847100257873535,68,1,"E","Europe/Stockholm","airport","OurAirports" 5598,"Storuman Airport","Mohed","Sweden","SQO","ESUD",64.96089935302734,17.69659996032715,915,1,"E","Europe/Stockholm","airport","OurAirports" 5599,"Hemavan Airport","Hemavan","Sweden","HMV","ESUT",65.80609893798828,15.082799911499023,1503,1,"E","Europe/Stockholm","airport","OurAirports" 5602,"Ventspils International Airport","Ventspils","Latvia","VNT","EVVA",57.35779953,21.5442008972,19,2,"E","Europe/Riga","airport","OurAirports" 5603,"Rand Airport","Johannesburg","South Africa","QRA","FAGM",-26.2425003052,28.1511993408,5483,2,"U","Africa/Johannesburg","airport","OurAirports" 5604,"Kruger Mpumalanga International Airport","Mpumalanga","South Africa","MQP","FAKN",-25.3831996918,31.1056003571,2829,2,"U","Africa/Johannesburg","airport","OurAirports" 5605,"Malamala Airport","Malamala","South Africa","AAM","FAMD",-24.818099975585938,31.544599533081055,1124,2,"U","Africa/Johannesburg","airport","OurAirports" 5606,"Mmabatho International Airport","Mafeking","South Africa","MBD","FAMM",-25.798400878900004,25.548000335699996,4181,2,"U","Africa/Johannesburg","airport","OurAirports" 5607,"Ghanzi Airport","Ghanzi","Botswana","GNZ","FBGZ",-21.6924991607666,21.658100128173828,3730,2,"U","Africa/Gaborone","airport","OurAirports" 5608,"Orapa Airport","Orapa","Botswana","ORP","FBOR",-21.266701,25.3167,3100,2,"U","Africa/Gaborone","airport","OurAirports" 5609,"Shakawe Airport","Shakawe","Botswana","SWX","FBSW",-18.373899459838867,21.832599639892578,3379,2,"U","Africa/Gaborone","airport","OurAirports" 5610,"Limpopo Valley Airport","Tuli Lodge","Botswana","TLD","FBTL",-22.189199447599997,29.126899719199997,1772,2,"U","Africa/Gaborone","airport","OurAirports" 5611,"Ngot Nzoungou Airport","Loubomo","Congo (Brazzaville)","DIS","FCPL",-4.20635,12.6599,1079,1,"N","Africa/Brazzaville","airport","OurAirports" 5612,"Chipata Airport","Chipata","Zambia","CIP","FLCP",-13.558300018310547,32.58720016479492,3360,2,"U","Africa/Lusaka","airport","OurAirports" 5613,"Los Alamitos Army Air Field","Solwesi","Zambia",\N,"KSLI",33.79000092,-118.052002,32,-8,"U","America/Los_Angeles","airport","OurAirports" 5614,"Iconi Airport","Moroni","Comoros","YVA","FMCN",-11.710800170899999,43.2439002991,33,3,"U","Indian/Comoro","airport","OurAirports" 5615,"Antsalova Airport","Antsalova","Madagascar","WAQ","FMMG",-18.701273,44.614921,551,3,"U","Indian/Antananarivo","airport","OurAirports" 5616,"Ankavandra Airport","Ankavandra","Madagascar","JVA","FMMK",-18.80501,45.273467,427,3,"U","Indian/Antananarivo","airport","OurAirports" 5617,"Belo sur Tsiribihina Airport","Belo sur Tsiribihina","Madagascar","BMD","FMML",-19.6867008209,44.541900634799994,154,3,"U","Indian/Antananarivo","airport","OurAirports" 5618,"Maintirano Airport","Maintirano","Madagascar","MXT","FMMO",-18.049999,44.033001,95,3,"U","Indian/Antananarivo","airport","OurAirports" 5619,"Morafenobe Airport","Morafenobe","Madagascar","TVA","FMMR",-17.850083,44.920467,748,3,"U","Indian/Antananarivo","airport","OurAirports" 5620,"Tambohorano Airport","Tambohorano","Madagascar","WTA","FMMU",-17.47610092163086,43.972801208496094,23,3,"U","Indian/Antananarivo","airport","OurAirports" 5621,"Tsiroanomandidy Airport","Tsiroanomandidy","Madagascar","WTS","FMMX",-18.759677,46.054065,2776,3,"U","Indian/Antananarivo","airport","OurAirports" 5622,"Ambatondrazaka Airport","Ambatondrazaka","Madagascar","WAM","FMMZ",-17.795378,48.442583,2513,3,"U","Indian/Antananarivo","airport","OurAirports" 5623,"Port Bergé Airport","Port Bergé","Madagascar","WPB","FMNG",-15.584286,47.623587,213,3,"U","Indian/Antananarivo","airport","OurAirports" 5624,"Ambanja Airport","Ambanja","Madagascar",\N,"FMNJ",-13.645705,48.459427,36,3,"U","Indian/Antananarivo","airport","OurAirports" 5625,"Soalala Airport","Soalala","Madagascar","DWB","FMNO",-16.10169,45.358837,141,3,"U","Indian/Antananarivo","airport","OurAirports" 5626,"Mampikony Airport","Mampikony","Madagascar","WMP","FMNP",-16.0722693402,47.644164562200004,0,3,"U","Indian/Antananarivo","airport","OurAirports" 5627,"Nasa Shuttle Landing Facility Airport","Tsaratanana","Madagascar",\N,"KTTS",28.614999771118164,-80.69450378417969,10,-5,"U","America/New_York","airport","OurAirports" 5628,"Mandritsara Airport","Mandritsara","Madagascar","WMA","FMNX",-15.833049,48.833284,1007,3,"U","Indian/Antananarivo","airport","OurAirports" 5629,"Manja Airport","Manja","Madagascar","MJA","FMSJ",-21.426105,44.316509,787,3,"U","Indian/Antananarivo","airport","OurAirports" 5630,"Catumbela Airport","Catumbela","Angola","CBT","FNCT",-12.4792,13.4869,23,1,"N","Africa/Luanda","airport","OurAirports" 5631,"Dundo Airport","Dundo","Angola","DUE","FNDU",-7.400889873504639,20.818500518798828,2451,1,"N","Africa/Luanda","airport","OurAirports" 5632,"Ngjiva Pereira Airport","Ondjiva","Angola","VPE","FNGI",-17.0435009003,15.683799743700002,3566,1,"N","Africa/Luanda","airport","OurAirports" 5633,"Namibe Airport","Mocamedes","Angola","MSZ","FNMO",-15.261199951171875,12.14680004119873,210,1,"N","Africa/Luanda","airport","OurAirports" 5634,"Koulamoutou Mabimbi Airport","Koulamoutou","Gabon","KOU","FOGK",-1.1846100091934,12.441300392151,1070,1,"N","Africa/Libreville","airport","OurAirports" 5635,"Mouilla Ville Airport","Mouila","Gabon","MJL","FOGM",-1.845139980316162,11.056699752807617,295,1,"N","Africa/Libreville","airport","OurAirports" 5636,"Tchibanga Airport","Tchibanga","Gabon","TCH","FOOT",-2.8499999046325684,11.017000198364258,269,1,"N","Africa/Libreville","airport","OurAirports" 5637,"Chimoio Airport","Chimoio","Mozambique","VPY","FQCH",-19.15130043029785,33.42900085449219,2287,2,"U","Africa/Maputo","airport","OurAirports" 5639,"Sarh Airport","Sarh","Chad","SRH","FTTA",9.14444,18.374399,1198,1,"N","Africa/Ndjamena","airport","OurAirports" 5640,"Club Makokola Airport","Club Makokola","Malawi","CMK","FWCM",-14.306900024414062,35.13249969482422,1587,2,"U","Africa/Blantyre","airport","OurAirports" 5641,"Luderitz Airport","Luderitz","Namibia","LUD","FYLZ",-26.687400817871094,15.242899894714355,457,1,"S","Africa/Windhoek","airport","OurAirports" 5642,"Ondangwa Airport","Ondangwa","Namibia","OND","FYOA",-17.878201,15.9526,3599,1,"S","Africa/Windhoek","airport","OurAirports" 5643,"Oranjemund Airport","Oranjemund","Namibia","OMD","FYOG",-28.5847,16.446699,14,1,"S","Africa/Windhoek","airport","OurAirports" 5644,"Swakopmund Airport","Swakopmund","Namibia","SWP","FYSM",-22.66189956665,14.568099975586,207,1,"S","Africa/Windhoek","airport","OurAirports" 5645,"Eros Airport","Windhoek","Namibia","ERS","FYWE",-22.612199783325195,17.080400466918945,5575,1,"S","Africa/Windhoek","airport","OurAirports" 5646,"Boma Airport","Boma","Congo (Kinshasa)","BOA","FZAJ",-5.854000091552734,13.064000129699707,26,1,"N","Africa/Kinshasa","airport","OurAirports" 5647,"Tshimpi Airport","Matadi","Congo (Kinshasa)","MAT","FZAM",-5.799610137939453,13.440400123596191,1115,1,"N","Africa/Kinshasa","airport","OurAirports" 5648,"Inongo Airport","Inongo","Congo (Kinshasa)","INO","FZBA",-1.947219967842102,18.28580093383789,1040,1,"N","Africa/Kinshasa","airport","OurAirports" 5649,"Nioki Airport","Nioki","Congo (Kinshasa)","NIO","FZBI",-2.7174999713897705,17.68470001220703,1043,1,"N","Africa/Kinshasa","airport","OurAirports" 5650,"Basango Mboliasa Airport","Kiri","Congo (Kinshasa)","KRZ","FZBT",-1.434999942779541,19.02400016784668,1013,1,"N","Africa/Kinshasa","airport","OurAirports" 5651,"Basankusu Airport","Basankusu","Congo (Kinshasa)","BSU","FZEN",1.2247200012207031,19.78890037536621,1217,1,"N","Africa/Kinshasa","airport","OurAirports" 5652,"Tshikapa Airport","Tshikapa","Congo (Kinshasa)","TSH","FZUK",-6.43833,20.794701,1595,2,"N","Africa/Lubumbashi","airport","OurAirports" 5653,"Lodja Airport","Lodja","Congo (Kinshasa)","LJA","FZVA",-3.4170000553131104,23.450000762939453,1647,2,"N","Africa/Lubumbashi","airport","OurAirports" 5654,"Ilebo Airport","Ilebo","Congo (Kinshasa)","PFR","FZVS",-4.329919,20.590124,1450,2,"N","Africa/Lubumbashi","airport","OurAirports" 5657,"Outer Skerries Airport","Outer Skerries","United Kingdom","OUK","EGOU",60.4252,-0.75,76,0,"E","Europe/London","airport","OurAirports" 5659,"La Gomera Airport","La Gomera","Spain","GMZ","GCGM",28.029600143432617,-17.214599609375,716,0,"E","Atlantic/Canary","airport","OurAirports" 5662,"Sherbro International Airport","Bonthe","Sierra Leone","BTE","GFBN",7.5324201583862305,-12.518899917602539,14,0,"N","Africa/Freetown","airport","OurAirports" 5663,"Bo Airport","Bo","Sierra Leone","KBS","GFBO",7.944399833679199,-11.76099967956543,328,0,"N","Africa/Freetown","airport","OurAirports" 5664,"Kenema Airport","Kenema","Sierra Leone","KEN","GFKE",7.891290187835693,-11.176600456237793,485,0,"N","Africa/Freetown","airport","OurAirports" 5665,"Osvaldo Vieira International Airport","Bissau","Guinea-Bissau","OXB","GGOV",11.894800186157227,-15.65369987487793,129,0,"N","Africa/Bissau","airport","OurAirports" 5669,"Smara Airport","Smara","Western Sahara","SMW","GMMA",26.7318,-11.6847,350,0,"N","Africa/El_Aaiun","airport","OurAirports" 5670,"Dakhla Airport","Dakhla","Western Sahara","VIL","GMMH",23.7183,-15.932,36,0,"N","Africa/El_Aaiun","airport","OurAirports" 5671,"Mogador Airport","Essadouira","Morocco","ESU","GMMI",31.3974990845,-9.6816701889,384,0,"N","Africa/Casablanca","airport","OurAirports" 5672,"Hassan I Airport","El Aaiún","Western Sahara","EUN","GMML",27.151699,-13.2192,207,0,"N","Africa/El_Aaiun","airport","OurAirports" 5673,"Nador International Airport","El Aroui","Morocco","NDR","GMMW",34.988800048799995,-3.0282099247,574,0,"N","Africa/Casablanca","airport","OurAirports" 5674,"Praia International Airport","Praia, Santiago Island","Cape Verde","RAI","GVNP",14.924500465393066,-23.493499755859375,230,-1,"U","Atlantic/Cape_Verde","airport","OurAirports" 5675,"São Filipe Airport","Sao Filipe, Fogo Island","Cape Verde","SFL","GVSF",14.8850002289,-24.4799995422,617,-1,"U","Atlantic/Cape_Verde","airport","OurAirports" 5676,"Baco Airport","Baco","Ethiopia","BCO","HABC",5.78287,36.562,4580,3,"U","Africa/Addis_Ababa","airport","OurAirports" 5677,"Beica Airport","Beica","Ethiopia","BEI","HABE",9.38638973236084,34.52190017700195,5410,3,"U","Africa/Addis_Ababa","airport","OurAirports" 5678,"Combolcha Airport","Dessie","Ethiopia","DSE","HADC",11.082500457763672,39.71139907836914,6117,3,"U","Africa/Addis_Ababa","airport","OurAirports" 5679,"Dembidollo Airport","Dembidollo","Ethiopia","DEM","HADD",8.553999900817871,34.858001708984375,5200,3,"U","Africa/Addis_Ababa","airport","OurAirports" 5680,"Gode Airport","Gode","Ethiopia","GDE","HAGO",5.93513011932,43.5786018372,834,3,"U","Africa/Addis_Ababa","airport","OurAirports" 5681,"Gore Airport","Gore","Ethiopia","GOR","HAGR",8.1614,35.5529,6580,3,"U","Africa/Addis_Ababa","airport","OurAirports" 5682,"Kabri Dehar Airport","Kabri Dehar","Ethiopia","ABK","HAKD",6.734,44.252998,1800,3,"U","Africa/Addis_Ababa","airport","OurAirports" 5683,"Mizan Teferi Airport","Mizan Teferi","Ethiopia","MTF","HAMT",6.9571,35.5547,4396,3,"U","Africa/Addis_Ababa","airport","OurAirports" 5684,"Tippi Airport","Tippi","Ethiopia","TIE","HATP",7.2024,35.415,1100,3,"U","Africa/Addis_Ababa","airport","OurAirports" 5685,"Alula Airport","Alula","Somalia","ALU","HCMA",11.9582,50.748,6,3,"U","Africa/Mogadishu","airport","OurAirports" 5686,"Bosaso Airport","Bosaso","Somalia","BSA","HCMF",11.275300025939941,49.14939880371094,3,3,"U","Africa/Mogadishu","airport","OurAirports" 5687,"Aden Adde International Airport","Mogadishu","Somalia","MGQ","HCMM",2.0144400596618652,45.3046989440918,29,3,"U","Africa/Mogadishu","airport","OurAirports" 5688,"Galcaio Airport","Galcaio","Somalia","GLK","HCMR",6.78082990646,47.45470047,975,3,"U","Africa/Mogadishu","airport","OurAirports" 5689,"Burao Airport","Burao","Somalia","BUO","HCMV",9.5275,45.5549,3400,3,"U","Africa/Mogadishu","airport","OurAirports" 5690,"El Arish International Airport","El Arish","Egypt","AAC","HEAR",31.073299408,33.8358001709,121,2,"U","Africa/Cairo","airport","OurAirports" 5691,"Assiut International Airport","Asyut","Egypt","ATZ","HEAT",27.0464992523,31.0119991302,772,2,"U","Africa/Cairo","airport","OurAirports" 5692,"Amboseli Airport","Amboseli National Park","Kenya","ASV","HKAM",-2.645050048828125,37.25310134887695,3755,3,"U","Africa/Nairobi","airport","OurAirports" 5693,"Lokichoggio Airport","Lokichoggio","Kenya","LKG","HKLK",4.20412015914917,34.348201751708984,2074,3,"U","Africa/Nairobi","airport","OurAirports" 5694,"Malindi Airport","Malindi","Kenya","MYD","HKML",-3.2293100357055664,40.10169982910156,80,3,"U","Africa/Nairobi","airport","OurAirports" 5695,"Nanyuki Airport","Nanyuki","Kenya","NYK","HKNY",-0.06239889934659004,37.04100799560547,6250,3,"U","Africa/Nairobi","airport","OurAirports" 5696,"Gardabya Airport","Sirt","Libya","SRX","HLGD",31.063499450699997,16.5949993134,267,2,"N","Africa/Tripoli","airport","OurAirports" 5697,"Gamal Abdel Nasser Airport","Tobruk","Libya","TOB","HLGN",31.861,23.907,519,2,"N","Africa/Tripoli","airport","OurAirports" 5698,"Mitiga Airport","Tripoli","Libya","MJI","HLLM",32.894100189208984,13.276000022888184,36,2,"N","Africa/Tripoli","airport","OurAirports" 5699,"La Abraq Airport","Al Bayda'","Libya","LAQ","HLLQ",32.788700103759766,21.96430015563965,2157,2,"N","Africa/Tripoli","airport","OurAirports" 5700,"Atbara Airport","Atbara","Sudan","ATB","HSAT",17.710344314575195,34.0570182800293,1181,3,"U","Africa/Khartoum","airport","OurAirports" 5701,"Nyala Airport","Nyala","Sudan","UYL","HSNN",12.053500175476074,24.956199645996094,2106,3,"U","Africa/Khartoum","airport","OurAirports" 5702,"Port Sudan New International Airport","Port Sudan","Sudan","PZU","HSPN",19.4335994720459,37.234100341796875,135,3,"U","Africa/Khartoum","airport","OurAirports" 5703,"Bukoba Airport","Bukoba","Tanzania","BKZ","HTBU",-1.332,31.8212,3784,3,"U","Africa/Dar_es_Salaam","airport","OurAirports" 5704,"Kigoma Airport","Kigoma","Tanzania","TKQ","HTKA",-4.8862,29.6709,2700,3,"U","Africa/Dar_es_Salaam","airport","OurAirports" 5705,"Lindi Airport","Lindi","Tanzania","LDI","HTLI",-9.85111,39.757801,100,3,"U","Africa/Dar_es_Salaam","airport","OurAirports" 5706,"Musoma Airport","Musoma","Tanzania","MUZ","HTMU",-1.503,33.8021,3806,3,"U","Africa/Dar_es_Salaam","airport","OurAirports" 5707,"Shinyanga Airport","Shinyanga","Tanzania","SHY","HTSY",-3.6093,33.5035,3800,3,"U","Africa/Dar_es_Salaam","airport","OurAirports" 5708,"Tabora Airport","Tabora","Tanzania","TBO","HTTB",-5.076389789581299,32.83330154418945,3868,3,"U","Africa/Dar_es_Salaam","airport","OurAirports" 5709,"Arua Airport","Arua","Uganda","RUA","HUAR",3.049999952316284,30.91699981689453,3951,3,"U","Africa/Kampala","airport","OurAirports" 5710,"Gulu Airport","Gulu","Uganda","ULU","HUGU",2.8055601119995117,32.27180099487305,3510,3,"U","Africa/Kampala","airport","OurAirports" 5711,"Diu Airport","Diu","India","DIU","VA1P",20.71310043334961,70.92109680175781,31,5.5,"N","Asia/Calcutta","airport","OurAirports" 5714,"Aberdeen Regional Airport","Aberdeen","United States","ABR","KABR",45.449100494384766,-98.42179870605469,1302,-6,"A","America/Chicago","airport","OurAirports" 5715,"Southwest Georgia Regional Airport","Albany","United States","ABY","KABY",31.535499572753906,-84.19450378417969,197,-5,"A","America/New_York","airport","OurAirports" 5716,"Athens Ben Epps Airport","Athens","United States","AHN","KAHN",33.94860076904297,-83.32630157470703,808,-5,"A","America/New_York","airport","OurAirports" 5717,"Alamogordo White Sands Regional Airport","Alamogordo","United States","ALM","KALM",32.8399009705,-105.990997314,4200,-7,"A","America/Denver","airport","OurAirports" 5718,"Waterloo Regional Airport","Waterloo","United States","ALO","KALO",42.557098388671875,-92.40029907226562,873,-6,"A","America/Chicago","airport","OurAirports" 5719,"Walla Walla Regional Airport","Walla Walla","United States","ALW","KALW",46.09489822,-118.288002,1194,-8,"A","America/Los_Angeles","airport","OurAirports" 5720,"Alpena County Regional Airport","Alpena","United States","APN","KAPN",45.0780983,-83.56030273,690,-5,"A","America/New_York","airport","OurAirports" 5721,"Watertown Regional Airport","Watertown","United States","ATY","KATY",44.91400146,-97.15470123,1749,-6,"A","America/Chicago","airport","OurAirports" 5722,"Bradford Regional Airport","Bradford","United States","BFD","KBFD",41.8031005859375,-78.64009857177734,2143,-5,"A","America/New_York","airport","OurAirports" 5723,"Western Neb. Rgnl/William B. Heilig Airport","Scottsbluff","United States","BFF","KBFF",41.87400055,-103.5960007,3967,-7,"A","America/Denver","airport","OurAirports" 5724,"Raleigh County Memorial Airport","Beckley","United States","BKW","KBKW",37.787300109899995,-81.1241989136,2504,-5,"A","America/New_York","airport","OurAirports" 5725,"Brunswick Golden Isles Airport","Brunswick","United States","BQK","KBQK",31.258800506591797,-81.46649932861328,26,-5,"A","America/New_York","airport","OurAirports" 5726,"Southeast Iowa Regional Airport","Burlington","United States","BRL","KBRL",40.783199310302734,-91.12550354003906,698,-6,"A","America/Chicago","airport","OurAirports" 5727,"Jack Mc Namara Field Airport","Crescent City","United States","CEC","KCEC",41.78020096,-124.2369995,61,-8,"A","America/Los_Angeles","airport","OurAirports" 5728,"Cape Girardeau Regional Airport","Cape Girardeau","United States","CGI","KCGI",37.22529983520508,-89.57080078125,342,-6,"A","America/Chicago","airport","OurAirports" 5729,"Chippewa County International Airport","Sault Ste Marie","United States","CIU","KCIU",46.25080108642578,-84.47239685058594,800,-5,"A","America/New_York","airport","OurAirports" 5730,"North Central West Virginia Airport","Clarksburg","United States","CKB","KCKB",39.2966003418,-80.2281036377,1217,-5,"A","America/New_York","airport","OurAirports" 5731,"William R Fairchild International Airport","Port Angeles","United States","CLM","KCLM",48.120201110839844,-123.5,291,-8,"A","America/Los_Angeles","airport","OurAirports" 5732,"Houghton County Memorial Airport","Hancock","United States","CMX","KCMX",47.168399810791016,-88.48909759521484,1095,-5,"A","America/New_York","airport","OurAirports" 5733,"Dodge City Regional Airport","Dodge City","United States","DDC","KDDC",37.76340103149414,-99.9655990600586,2594,-6,"A","America/Chicago","airport","OurAirports" 5734,"DuBois Regional Airport","Du Bois","United States","DUJ","KDUJ",41.17829895,-78.8986969,1817,-5,"A","America/New_York","airport","OurAirports" 5735,"Chippewa Valley Regional Airport","Eau Claire","United States","EAU","KEAU",44.86579895019531,-91.48429870605469,913,-6,"A","America/Chicago","airport","OurAirports" 5736,"Elko Regional Airport","Elko","United States","EKO","KEKO",40.82490158081055,-115.79199981689453,5140,-8,"A","America/Los_Angeles","airport","OurAirports" 5737,"New Bedford Regional Airport","New Bedford","United States","EWB","KEWB",41.67610168457031,-70.95690155029297,80,-5,"A","America/New_York","airport","OurAirports" 5738,"Fayetteville Regional Grannis Field","Fayetteville","United States","FAY","KFAY",34.9911994934082,-78.88030242919922,189,-5,"A","America/New_York","airport","OurAirports" 5739,"Wokal Field Glasgow International Airport","Glasgow","United States","GGW","KGGW",48.212502,-106.614998,2296,-7,"A","America/Denver","airport","OurAirports" 5740,"Central Nebraska Regional Airport","Grand Island","United States","GRI","KGRI",40.967498779296875,-98.30960083007812,1847,-6,"A","America/Chicago","airport","OurAirports" 5741,"Memorial Field","Hot Springs","United States","HOT","KHOT",34.47800064086914,-93.09619903564453,540,-6,"A","America/Chicago","airport","OurAirports" 5742,"Tri-State/Milton J. Ferguson Field","Huntington","United States","HTS","KHTS",38.36669922,-82.55799866,828,-5,"A","America/New_York","airport","OurAirports" 5743,"Kili Airport","Kili Island","Marshall Islands","KIO","Q51",5.644515,169.119507,5,12,"U","Pacific/Majuro","airport","OurAirports" 5744,"Kirksville Regional Airport","Kirksville","United States","IRK","KIRK",40.09349822998047,-92.5448989868164,966,-6,"A","America/Chicago","airport","OurAirports" 5745,"Jamestown Regional Airport","Jamestown","United States","JMS","KJMS",46.92969894,-98.67819977,1500,-6,"A","America/Chicago","airport","OurAirports" 5746,"Laramie Regional Airport","Laramie","United States","LAR","KLAR",41.31209945678711,-105.67500305175781,7284,-7,"A","America/Denver","airport","OurAirports" 5747,"Arnold Palmer Regional Airport","Latrobe","United States","LBE","KLBE",40.27590179,-79.40480042,1199,-5,"A","America/New_York","airport","OurAirports" 5748,"North Platte Regional Airport Lee Bird Field","North Platte","United States","LBF","KLBF",41.12620163,-100.6839981,2777,-6,"A","America/Chicago","airport","OurAirports" 5749,"Lebanon Municipal Airport","Lebanon","United States","LEB","KLEB",43.626098632799994,-72.30419921880001,603,-5,"A","America/New_York","airport","OurAirports" 5750,"Crater Lake-Klamath Regional Airport","Klamath Falls","United States","LMT","KLMT",42.156101,-121.733002,4095,-8,"A","America/Los_Angeles","airport","OurAirports" 5751,"Lancaster Airport","Lancaster","United States","LNS","KLNS",40.121700286865234,-76.29609680175781,403,-5,"A","America/New_York","airport","OurAirports" 5752,"Lewistown Municipal Airport","Lewistown","United States","LWT","KLWT",47.04930114746094,-109.46700286865234,4170,-7,"A","America/Denver","airport","OurAirports" 5753,"Lynchburg Regional Preston Glenn Field","Lynchburg","United States","LYH","KLYH",37.326698303222656,-79.20040130615234,938,-5,"A","America/New_York","airport","OurAirports" 5754,"Muskegon County Airport","Muskegon","United States","MKG","KMKG",43.16949844,-86.23819733,629,-5,"A","America/New_York","airport","OurAirports" 5755,"Frank Wiley Field","Miles City","United States","MLS","KMLS",46.428001403808594,-105.88600158691406,2630,-7,"A","America/Denver","airport","OurAirports" 5756,"Northwest Alabama Regional Airport","Muscle Shoals","United States","MSL","KMSL",34.74530029,-87.61019897,551,-6,"A","America/Chicago","airport","OurAirports" 5757,"Southwest Oregon Regional Airport","North Bend","United States","OTH","KOTH",43.41709899902344,-124.24600219726562,17,-8,"A","America/Los_Angeles","airport","OurAirports" 5758,"Owensboro Daviess County Airport","Owensboro","United States","OWB","KOWB",37.74010086,-87.16680145,407,-6,"A","America/Chicago","airport","OurAirports" 5759,"Hattiesburg Laurel Regional Airport","Hattiesburg/Laurel","United States","PIB","KPIB",31.467100143432617,-89.33709716796875,298,-6,"A","America/Chicago","airport","OurAirports" 5760,"Pocatello Regional Airport","Pocatello","United States","PIH","KPIH",42.9098014831543,-112.59600067138672,4452,-7,"A","America/Denver","airport","OurAirports" 5761,"Pierre Regional Airport","Pierre","United States","PIR","KPIR",44.38270187,-100.2860031,1744,-6,"A","America/Chicago","airport","OurAirports" 5762,"Pellston Regional Airport of Emmet County Airport","Pellston","United States","PLN","KPLN",45.57089996,-84.79669952,721,-5,"A","America/New_York","airport","OurAirports" 5763,"Portsmouth International at Pease Airport","Portsmouth","United States","PSM","KPSM",43.0778999329,-70.8233032227,100,-5,"A","America/New_York","airport","OurAirports" 5764,"Reading Regional Carl A Spaatz Field","Reading","United States","RDG","KRDG",40.378501892089844,-75.96520233154297,344,-5,"A","America/New_York","airport","OurAirports" 5765,"Rhinelander Oneida County Airport","Rhinelander","United States","RHI","KRHI",45.63119888305664,-89.46749877929688,1624,-6,"A","America/Chicago","airport","OurAirports" 5766,"Southwest Wyoming Regional Airport","Rock Springs","United States","RKS","KRKS",41.5942,-109.065001,6764,-7,"A","America/Denver","airport","OurAirports" 5767,"Rutland - Southern Vermont Regional Airport","Rutland","United States","RUT","KRUT",43.52939987,-72.94960022,787,-5,"A","America/New_York","airport","OurAirports" 5768,"San Luis County Regional Airport","San Luis Obispo","United States","SBP","KSBP",35.236801147499996,-120.641998291,212,-8,"A","America/Los_Angeles","airport","OurAirports" 5769,"Sheridan County Airport","Sheridan","United States","SHR","KSHR",44.76919937133789,-106.9800033569336,4021,-7,"A","America/Denver","airport","OurAirports" 5770,"Adirondack Regional Airport","Saranac Lake","United States","SLK","KSLK",44.38529968261719,-74.2061996459961,1663,-5,"A","America/New_York","airport","OurAirports" 5771,"Salina Municipal Airport","Salina","United States","SLN","KSLN",38.79100036621094,-97.6521987915039,1288,-6,"A","America/Chicago","airport","OurAirports" 5772,"Santa Maria Pub/Capt G Allan Hancock Field","Santa Maria","United States","SMX","KSMX",34.89889908,-120.4570007,261,-8,"A","America/Los_Angeles","airport","OurAirports" 5773,"Tupelo Regional Airport","Tupelo","United States","TUP","KTUP",34.26810073852539,-88.7698974609375,346,-6,"A","America/Chicago","airport","OurAirports" 5774,"Quincy Regional Baldwin Field","Quincy","United States","UIN","KUIN",39.94269943,-91.19460297,768,-6,"A","America/Chicago","airport","OurAirports" 5775,"Victoria Regional Airport","Victoria","United States","VCT","KVCT",28.85260009765625,-96.91850280761719,115,-6,"A","America/Chicago","airport","OurAirports" 5776,"Valdosta Regional Airport","Valdosta","United States","VLD","KVLD",30.782499313354492,-83.27670288085938,203,-5,"A","America/New_York","airport","OurAirports" 5777,"Worland Municipal Airport","Worland","United States","WRL","KWRL",43.9656982421875,-107.95099639892578,4227,-7,"A","America/Denver","airport","OurAirports" 5779,"Yakima Air Terminal McAllister Field","Yakima","United States","YKM","KYKM",46.56819916,-120.5439987,1099,-8,"A","America/Los_Angeles","airport","OurAirports" 5780,"Ercan International Airport","Nicosia","Cyprus","ECN","LCEN",35.154701232910156,33.49610137939453,404,2,"E","Asia/Nicosia","airport","OurAirports" 5781,"Logroño-Agoncillo Airport","Logroño-Agoncillo","Spain","RJL","LELO",42.4609534888,-2.32223510742,1161,1,"E","Europe/Madrid","airport","OurAirports" 5782,"ÃŽle d'Yeu Airport","ÃŽle d'Yeu","France","IDY","LFEY",46.71860122680664,-2.3911099433898926,79,1,"E","Europe/Paris","airport","OurAirports" 5783,"Angers-Loire Airport","Angers/Marcé","France","ANE","LFJR",47.560299,-0.312222,194,1,"E","Europe/Paris","airport","OurAirports" 5786,"La Môle Airport","La Môle","France","LTT","LFTZ",43.205399,6.482,59,1,"E","Europe/Paris","airport","OurAirports" 5787,"Syros Airport","Syros Island","Greece","JSY","LGSO",37.4227981567,24.950899124099998,236,2,"E","Europe/Athens","airport","OurAirports" 5788,"Pécs-Pogány Airport","Pécs-Pogány","Hungary","PEV","LHPP",45.990898,18.240996,1000,1,"N","Europe/Budapest","airport","OurAirports" 5789,"GyÅ‘r-Pér International Airport","GyÅ‘r","Hungary",\N,"LHPR",47.624401,17.813601,424,1,"N","Europe/Budapest","airport","OurAirports" 5790,"Sármellék International Airport","Sármellék","Hungary","SOB","LHSM",46.686391,17.159084,408,1,"N","Europe/Budapest","airport","OurAirports" 5791,"Aosta Airport","Aosta","Italy","AOT","LIMW",45.738499,7.36872,1791,1,"E","Europe/Rome","airport","OurAirports" 5792,"Salerno Costa d'Amalfi Airport","Salerno","Italy","QSR","LIRI",40.620399,14.9113,119,1,"E","Europe/Rome","airport","OurAirports" 5793,"Corvo Airport","Corvo","Portugal","CVU","LPCR",39.671501,-31.1136,0,-1,"E","Atlantic/Azores","airport","OurAirports" 5794,"Banja Luka International Airport","Banja Luka","Bosnia and Herzegovina","BNX","LQBK",44.94139862060547,17.297500610351562,400,1,"E","Europe/Sarajevo","airport","OurAirports" 5795,"UÅŸak Airport","Usak","Turkey","USQ","LTBO",38.68149948120117,29.47170066833496,2897,3,"E","Europe/Istanbul","airport","OurAirports" 5796,"Kars Airport","Kars","Turkey","KSY","LTCF",40.562198638916016,43.1150016784668,5889,3,"E","Europe/Istanbul","airport","OurAirports" 5797,"Åžanlıurfa Airport","Sanliurfa","Turkey","SFQ","LTCH",37.09429931640625,38.84709930419922,1483,3,"E","Europe/Istanbul","airport","OurAirports" 5798,"KahramanmaraÅŸ Airport","Kahramanmaras","Turkey","KCM","LTCN",37.5388259888,36.9535217285,1723,3,"E","Europe/Istanbul","airport","OurAirports" 5799,"AÄŸrı Airport","Agri","Turkey","AJI","LTCO",39.654541015625,43.025978088378906,5462,3,"E","Europe/Istanbul","airport","OurAirports" 5800,"Adıyaman Airport","Adiyaman","Turkey","ADF","LTCP",37.7313995361,38.4688987732,2216,3,"E","Europe/Istanbul","airport","OurAirports" 5801,"Süleyman Demirel International Airport","Isparta","Turkey","ISE","LTFC",37.8554000854,30.368400573699997,2835,3,"E","Europe/Istanbul","airport","OurAirports" 5802,"Balıkesir Körfez Airport","Balikesir Korfez","Turkey","EDO","LTFD",39.554599762,27.0137996674,50,3,"E","Europe/Istanbul","airport","OurAirports" 5803,"Samsun ÇarÅŸamba Airport","Samsun","Turkey","SZF","LTFH",41.254501,36.567101,18,3,"E","Europe/Istanbul","airport","OurAirports" 5806,"Žilina Airport","Žilina","Slovakia","ILZ","LZZI",49.231498718299996,18.6135005951,1020,1,"E","Europe/Bratislava","airport","OurAirports" 5807,"JAGS McCartney International Airport","Cockburn Town","Turks and Caicos Islands","GDT","MBGT",21.444499969482422,-71.14230346679688,13,-4,"U","America/Grand_Turk","airport","OurAirports" 5808,"Middle Caicos Airport","Middle Caicos","Turks and Caicos Islands","MDS","MBMC",21.82602,-71.8025,9,-4,"U","America/Grand_Turk","airport","OurAirports" 5809,"Salt Cay Airport","Salt Cay","Turks and Caicos Islands","SLX","MBSY",21.333000183099998,-71.1999969482,3,-4,"U","America/Grand_Turk","airport","OurAirports" 5810,"Samaná El Catey International Airport","Samana","Dominican Republic","AZS","MDCY",19.2670001984,-69.7419967651,30,-4,"U","America/Santo_Domingo","airport","OurAirports" 5811,"La Isabela International Airport","La Isabela","Dominican Republic","JBQ","MDJB",18.572500228881836,-69.98560333251953,98,-4,"U","America/Santo_Domingo","airport","OurAirports" 5812,"Puerto Barrios Airport","Puerto Barrios","Guatemala","PBR","MGPB",15.7309,-88.583801,33,-6,"U","America/Guatemala","airport","OurAirports" 5813,"Quezaltenango Airport","Quezaltenango","Guatemala","AAZ","MGQZ",14.8656,-91.501999,7779,-6,"U","America/Guatemala","airport","OurAirports" 5814,"Utirik Airport","Utirik Island","Marshall Islands","UTK","03N",11.222,169.852005,4,12,"U","Pacific/Majuro","airport","OurAirports" 5831,"Ahuas Airport","Ahuas","Honduras","AHS","MHAH",15.4722,-84.352203,249,-6,"U","America/Tegucigalpa","airport","OurAirports" 5832,"Puerto Lempira Airport","Puerto Lempira","Honduras","PEU","MHPL",15.2622,-83.781197,33,-6,"U","America/Tegucigalpa","airport","OurAirports" 5833,"Mili Island Airport","Mili Island","Marshall Islands","MIJ","MLIP",6.08333,171.733002,4,12,"U","Pacific/Majuro","airport","OurAirports" 5834,"Captain Rogelio Castillo National Airport","Celaya","Mexico","CYW","MMCY",20.546,-100.887001,5709,-6,"S","America/Mexico_City","airport","OurAirports" 5835,"Ciudad Constitución Airport","Ciudad Constitución","Mexico","CUA","MMDA",25.053800582886,-111.61499786377,213,-7,"S","America/Mazatlan","airport","OurAirports" 5836,"Guerrero Negro Airport","Guerrero Negro","Mexico","GUB","MMGR",28.0261,-114.024002,59,-8,"S","America/Tijuana","airport","OurAirports" 5837,"El Lencero Airport","Jalapa","Mexico","JAL","MMJA",19.4750995636,-96.7975006104,3127,-6,"S","America/Mexico_City","airport","OurAirports" 5838,"Alonso Valderrama Airport","Chitré","Panama","CTD","MPCE",7.987840175628662,-80.40969848632812,33,-5,"U","America/Panama","airport","OurAirports" 5839,"Enrique Adolfo Jimenez Airport","Colón","Panama","ONX","MPEJ",9.356639862060547,-79.86740112304688,25,-5,"U","America/Panama","airport","OurAirports" 5840,"Jaqué Airport","Jaqué","Panama","JQE","MPJE",7.51777982711792,-78.1572036743164,29,-5,"U","America/Panama","airport","OurAirports" 5841,"Captain Ramon Xatruch Airport","La Palma","Panama","PLP","MPLP",8.406669616699219,-78.1417007446289,30,-5,"U","America/Panama","airport","OurAirports" 5842,"Aerotortuguero Airport","Roxana","Costa Rica","TTQ","MRAO",10.42,-83.6095,92,-6,"U","America/Costa_Rica","airport","OurAirports" 5843,"Barra del Colorado Airport","Pococi","Costa Rica","BCL","MRBC",10.768699645996094,-83.58560180664062,3,-6,"U","America/Costa_Rica","airport","OurAirports" 5844,"Cabo Velas Airport","Nicoya","Costa Rica",\N,"MRCV",10.355699539185,-85.852897644043,33,-6,"U","America/Costa_Rica","airport","OurAirports" 5845,"Islita Airport","Nandayure","Costa Rica","PBP","MRIA",9.856109619140625,-85.37079620361328,7,-6,"U","America/Costa_Rica","airport","OurAirports" 5847,"Puerto Jimenez Airport","Puerto Jimenez","Costa Rica","PJM","MRPJ",8.533329963684082,-83.30000305175781,7,-6,"U","America/Costa_Rica","airport","OurAirports" 5848,"Tobias Bolanos International Airport","San Jose","Costa Rica","SYQ","MRPV",9.957050323486328,-84.13980102539062,3287,-6,"U","America/Costa_Rica","airport","OurAirports" 5849,"(Duplicate) Playa Samara Airport","Playa Samara","Costa Rica",\N,"MRSR",9.87,-85.48,10,-6,"U","America/Costa_Rica","airport","OurAirports" 5850,"Jérémie Airport","Jeremie","Haiti","JEE","MTJE",18.66309928894043,-74.17030334472656,147,-5,"U","America/Port-au-Prince","airport","OurAirports" 5851,"Port-de-Paix Airport","Port-de-Paix","Haiti","PAX","MTPX",19.9335994720459,-72.84860229492188,9,-5,"U","America/Port-au-Prince","airport","OurAirports" 5852,"Cayo Coco Airport","Cayo Coco","Cuba",\N,"MUOC",22.513200759900002,-78.51100158690001,6,-5,"U","America/Havana","airport","OurAirports" 5853,"Alberto Delgado Airport","Trinidad","Cuba","TND","MUTD",21.788299560546875,-79.99720001220703,125,-5,"U","America/Havana","airport","OurAirports" 5856,"Congo Town Airport","Andros","Bahamas","COX","MYAK",24.158701,-77.589798,15,-5,"U","America/Nassau","airport","OurAirports" 5857,"Arthur's Town Airport","Arthur's Town","Bahamas","ATC","MYCA",24.6294,-75.673797,18,-5,"U","America/Nassau","airport","OurAirports" 5858,"New Bight Airport","Cat Island","Bahamas","TBI","MYCB",24.3153,-75.452301,5,-5,"U","America/Nassau","airport","OurAirports" 5859,"Colonel Hill Airport","Colonel Hill","Bahamas","CRI","MYCI",22.745599746699998,-74.1824035645,5,-5,"U","America/Nassau","airport","OurAirports" 5860,"Nassau Paradise Island Airport","Nassau","Bahamas","PID","MYPI",25.08300018310547,-77.30000305175781,0,-5,"U","America/Nassau","airport","OurAirports" 5861,"Enua Airport","Atiu Island","Cook Islands","AIU","NCAT",-19.96780014038086,-158.11900329589844,36,-10,"U","Pacific/Rarotonga","airport","OurAirports" 5862,"Mangaia Island Airport","Mangaia Island","Cook Islands","MGS","NCMG",-21.895986557006836,-157.9066619873047,45,-10,"U","Pacific/Rarotonga","airport","OurAirports" 5863,"Manihiki Island Airport","Manihiki Island","Cook Islands","MHX","NCMH",-10.376700401306152,-161.0019989013672,0,-10,"U","Pacific/Rarotonga","airport","OurAirports" 5864,"Mauke Airport","Mauke Island","Cook Islands","MUK","NCMK",-20.13610076904297,-157.34500122070312,26,-10,"U","Pacific/Rarotonga","airport","OurAirports" 5865,"Mitiaro Island Airport","Mitiaro Island","Cook Islands","MOI","NCMR",-19.842500686645508,-157.7030029296875,25,-10,"U","Pacific/Rarotonga","airport","OurAirports" 5866,"Tongareva Airport","Penrhyn Island","Cook Islands","PYE","NCPY",-9.01436996459961,-158.03240966796875,8,-10,"U","Pacific/Rarotonga","airport","OurAirports" 5867,"Cicia Airport","Cicia","Fiji","ICI","NFCI",-17.7432994843,-179.341995239,13,12,"U","Pacific/Fiji","airport","OurAirports" 5868,"Malolo Lailai Island Airport","Malolo Lailai Island","Fiji","PTF","NFFO",-17.7779006958,177.197006226,10,12,"U","Pacific/Fiji","airport","OurAirports" 5869,"Vunisea Airport","Vunisea","Fiji","KDV","NFKD",-19.058099746699998,178.156997681,6,12,"U","Pacific/Fiji","airport","OurAirports" 5870,"Mana Island Airport","Mana Island","Fiji","MNF","NFMA",-17.6730995178,177.098007202,0,12,"U","Pacific/Fiji","airport","OurAirports" 5871,"Moala Airport","Moala","Fiji","MFJ","NFMO",-18.566699981699998,179.951004028,13,12,"U","Pacific/Fiji","airport","OurAirports" 5872,"Ngau Airport","Ngau","Fiji","NGI","NFNG",-18.115600585899998,179.339996338,50,12,"U","Pacific/Fiji","airport","OurAirports" 5873,"Lakeba Island Airport","Lakeba Island","Fiji","LKB","NFNK",-18.1991996765,-178.817001343,280,12,"U","Pacific/Fiji","airport","OurAirports" 5874,"Labasa Airport","Lambasa","Fiji","LBS","NFNL",-16.466699600219727,179.33999633789062,44,12,"U","Pacific/Fiji","airport","OurAirports" 5875,"Matei Airport","Matei","Fiji","TVU","NFNM",-16.6905994415,-179.876998901,60,12,"U","Pacific/Fiji","airport","OurAirports" 5876,"Koro Island Airport","Koro Island","Fiji","KXF","NFNO",-17.3458003998,179.42199707,358,12,"U","Pacific/Fiji","airport","OurAirports" 5877,"Rotuma Airport","Rotuma","Fiji","RTA","NFNR",-12.482500076293945,177.0709991455078,22,12,"U","Pacific/Fiji","airport","OurAirports" 5878,"Savusavu Airport","Savusavu","Fiji","SVU","NFNS",-16.8027992249,179.341003418,17,12,"U","Pacific/Fiji","airport","OurAirports" 5879,"Kaufana Airport","Eua Island","Tonga","EUA","NFTE",-21.378299713100002,-174.957992554,325,13,"U","Pacific/Tongatapu","airport","OurAirports" 5880,"Lifuka Island Airport","Lifuka","Tonga","HPA","NFTL",-19.777000427246094,-174.34100341796875,31,13,"U","Pacific/Tongatapu","airport","OurAirports" 5881,"Mata'aho Airport","Angaha, Niuafo'ou Island","Tonga","NFO","NFTO",-15.5707998276,-175.632995605,160,13,"U","Pacific/Tongatapu","airport","OurAirports" 5882,"Kuini Lavenia Airport","Niuatoputapu","Tonga","NTT","NFTP",-15.977297,-173.791089,30,13,"U","Pacific/Tongatapu","airport","OurAirports" 5883,"Vanua Balavu Airport","Vanua Balavu","Fiji","VBV","NFVB",-17.268999099731445,-178.9759979248047,76,12,"U","Pacific/Fiji","airport","OurAirports" 5884,"Niue International Airport","Alofi","Niue","IUE","NIUE",-19.079030990600586,-169.92559814453125,209,-11,"U","Pacific/Niue","airport","OurAirports" 5885,"Pointe Vele Airport","Futuna Island","Wallis and Futuna","FUT","NLWF",-14.3114004135,-178.065994263,20,12,"U","Pacific/Wallis","airport","OurAirports" 5887,"Maota Airport","Savaii Island","Samoa","MXS","NSMA",-13.742300033569336,-172.25799560546875,0,13,"U","Pacific/Apia","airport","OurAirports" 5888,"Apataki Airport","Apataki","French Polynesia","APK","NTGD",-15.5736,-146.414993,8,-10,"U","Pacific/Tahiti","airport","OurAirports" 5889,"Ahe Airport","Ahe","French Polynesia","AHE","NTHE",-14.428099632263184,-146.2570037841797,11,-10,"U","Pacific/Tahiti","airport","OurAirports" 5890,"Hiva Oa-Atuona Airport","Hiva-oa","French Polynesia","AUQ","NTMN",-9.76879024506,-139.011001587,1481,-9.5,"U","Pacific/Marquesas","airport","OurAirports" 5891,"Ua Pou Airport","Ua Pou","French Polynesia","UAP","NTMP",-9.35167,-140.078003,16,-9.5,"U","Pacific/Marquesas","airport","OurAirports" 5892,"Ua Huka Airport","Ua Huka","French Polynesia","UAH","NTMU",-8.93611,-139.552002,160,-9.5,"U","Pacific/Marquesas","airport","OurAirports" 5893,"Mota Lava Airport","Ablow","Vanuatu","MTV","NVSA",-13.6660003662,167.712005615,63,11,"U","Pacific/Efate","airport","OurAirports" 5894,"Sola Airport","Sola","Vanuatu","SLH","NVSC",-13.8516998291,167.537002563,7,11,"U","Pacific/Efate","airport","OurAirports" 5895,"Torres Airstrip","Loh/Linua","Vanuatu","TOH","NVSD",-13.3280000687,166.638000488,75,11,"U","Pacific/Efate","airport","OurAirports" 5896,"Siwo Airport","Sangafa","Vanuatu","EAE","NVSE",-17.0902996063,168.343002319,7,11,"U","Pacific/Efate","airport","OurAirports" 5897,"Craig Cove Airport","Craig Cove","Vanuatu","CCV","NVSF",-16.264999,167.923996,69,11,"U","Pacific/Efate","airport","OurAirports" 5898,"Longana Airport","Longana","Vanuatu","LOD","NVSG",-15.3066997528,167.966995239,167,11,"U","Pacific/Efate","airport","OurAirports" 5899,"Sara Airport","Pentecost Island","Vanuatu","SSR","NVSH",-15.4708003998,168.151992798,493,11,"U","Pacific/Efate","airport","OurAirports" 5900,"Tavie Airport","Paama Island","Vanuatu","PBJ","NVSI",-16.438999176,168.257003784,160,11,"U","Pacific/Efate","airport","OurAirports" 5901,"Lamap Airport","Lamap","Vanuatu","LPM","NVSL",-16.4611228,167.829253,7,11,"U","Pacific/Efate","airport","OurAirports" 5902,"Lamen Bay Airport","Lamen Bay","Vanuatu","LNB","NVSM",-16.584199905400002,168.158996582,7,11,"U","Pacific/Efate","airport","OurAirports" 5903,"Maewo-Naone Airport","Maewo Island","Vanuatu","MWF","NVSN",-15,168.082992554,509,11,"U","Pacific/Efate","airport","OurAirports" 5904,"Lonorore Airport","Lonorore","Vanuatu","LNE","NVSO",-15.865599632299999,168.17199707,43,11,"U","Pacific/Efate","airport","OurAirports" 5905,"Norsup Airport","Norsup","Vanuatu","NUS","NVSP",-16.0797,167.401001,23,11,"U","Pacific/Efate","airport","OurAirports" 5906,"Gaua Island Airport","Gaua Island","Vanuatu","ZGU","NVSQ",-14.218099594099998,167.587005615,100,11,"U","Pacific/Efate","airport","OurAirports" 5907,"Redcliffe Airport","Redcliffe","Vanuatu","RCL","NVSR",-15.472000122099999,167.835006714,36,11,"U","Pacific/Efate","airport","OurAirports" 5908,"Santo Pekoa International Airport","Santo","Vanuatu","SON","NVSS",-15.505000114399998,167.220001221,184,11,"U","Pacific/Efate","airport","OurAirports" 5909,"Tongoa Airport","Tongoa Island","Vanuatu","TGH","NVST",-16.8910999298,168.550994873,443,11,"U","Pacific/Efate","airport","OurAirports" 5910,"Uléi Airport","Ambryn Island","Vanuatu","ULB","NVSU",-16.3297,168.3011,170,11,"U","Pacific/Efate","airport","OurAirports" 5911,"Valesdir Airport","Valesdir","Vanuatu","VLS","NVSV",-16.796100616500002,168.177001953,10,11,"U","Pacific/Efate","airport","OurAirports" 5912,"Southwest Bay Airport","Malekula Island","Vanuatu","SWJ","NVSX",-16.4864,167.4472,68,11,"U","Pacific/Efate","airport","OurAirports" 5913,"North West Santo Airport","Olpoi","Vanuatu","OLJ","NVSZ",-14.881699562099998,166.557998657,50,11,"U","Pacific/Efate","airport","OurAirports" 5914,"Aneityum Airport","Anelghowhat","Vanuatu","AUY","NVVA",-20.2492008209,169.770996094,7,11,"U","Pacific/Efate","airport","OurAirports" 5915,"Aniwa Airport","Aniwa","Vanuatu","AWD","NVVB",-19.2346,169.6009,69,11,"U","Pacific/Efate","airport","OurAirports" 5916,"Dillon's Bay Airport","Dillon's Bay","Vanuatu","DLY","NVVD",-18.7693996429,169.00100708,630,11,"U","Pacific/Efate","airport","OurAirports" 5917,"Futuna Airport","Futuna Island","Vanuatu","FTA","NVVF",-19.516399383499998,170.231994629,95,11,"U","Pacific/Efate","airport","OurAirports" 5918,"Ipota Airport","Ipota","Vanuatu","IPA","NVVI",-18.856389,169.283333,23,11,"U","Pacific/Efate","airport","OurAirports" 5919,"Tiga Airport","Tiga","New Caledonia","TGJ","NWWA",-21.096099853515625,167.8040008544922,128,11,"U","Pacific/Noumea","airport","OurAirports" 5920,"ÃŽle Art - Waala Airport","Waala","New Caledonia","BMY","NWWC",-19.720600128173828,163.66099548339844,306,11,"U","Pacific/Noumea","airport","OurAirports" 5921,"ÃŽle des Pins Airport","ÃŽle des Pins","New Caledonia","ILP","NWWE",-22.588899612426758,167.45599365234375,315,11,"U","Pacific/Noumea","airport","OurAirports" 5922,"Fayzabad Airport","Faizabad","Afghanistan","FBD","OAFZ",37.121101,70.518097,3872,4.5,"U","Asia/Kabul","airport","OurAirports" 5924,"Dawadmi Domestic Airport","Dawadmi","Saudi Arabia",\N,"OEDW",24.5,44.400001525878906,3429,3,"U","Asia/Riyadh","airport","OurAirports" 5925,"Al-Jawf Domestic Airport","Al-Jawf","Saudi Arabia","AJF","OESK",29.78510093688965,40.099998474121094,2261,3,"U","Asia/Riyadh","airport","OurAirports" 5926,"Wadi Al Dawasir Airport","Wadi-al-dawasir","Saudi Arabia","WAE","OEWD",20.504299163800003,45.199600219699995,2062,3,"U","Asia/Riyadh","airport","OurAirports" 5927,"Khoram Abad Airport","Khorram Abad","Iran","KHD","OICK",33.43539810180664,48.282901763916016,3782,3.5,"E","Asia/Tehran","airport","OurAirports" 5928,"Bam Airport","Bam","Iran","BXR","OIKM",29.084199905395508,58.45000076293945,3231,3.5,"E","Asia/Tehran","airport","OurAirports" 5929,"Rafsanjan Airport","Rafsanjan","Iran","RJN","OIKR",30.297700881958008,56.05110168457031,5298,3.5,"E","Asia/Tehran","airport","OurAirports" 5930,"Bojnord Airport","Bojnourd","Iran","BJB","OIMN",37.49300003051758,57.30820083618164,3499,3.5,"E","Asia/Tehran","airport","OurAirports" 5931,"Sabzevar National Airport","Sabzevar","Iran","AFZ","OIMS",36.16809844970703,57.59519958496094,3010,3.5,"E","Asia/Tehran","airport","OurAirports" 5932,"Noshahr Airport","Noshahr","Iran","NSH","OINN",36.663299560546875,51.464698791503906,-61,3.5,"E","Asia/Tehran","airport","OurAirports" 5933,"Dasht-e Naz Airport","Dasht-e-naz","Iran","SRY","OINZ",36.635799408,53.193599700899995,35,3.5,"E","Asia/Tehran","airport","OurAirports" 5934,"Lar Airport","Lar","Iran","LRR","OISL",27.6746997833,54.3833007812,2641,3.5,"E","Asia/Tehran","airport","OurAirports" 5935,"Ardabil Airport","Ardabil","Iran","ADU","OITL",38.3256988525,48.4244003296,4315,3.5,"E","Asia/Tehran","airport","OurAirports" 5936,"Urmia Airport","Uromiyeh","Iran","OMH","OITR",37.6680984497,45.0686988831,4343,3.5,"E","Asia/Tehran","airport","OurAirports" 5937,"Al Ain International Airport","Al Ain","United Arab Emirates","AAN","OMAL",24.261699676513672,55.60919952392578,869,4,"U","Asia/Dubai","airport","OurAirports" 5938,"Bannu Airport","Bannu","Pakistan","BNP","OPBN",32.9729,70.527901,1325,5,"N","Asia/Karachi","airport","OurAirports" 5939,"Bahawalpur Airport","Bahawalpur","Pakistan","BHV","OPBW",29.348100662231445,71.71800231933594,392,5,"N","Asia/Karachi","airport","OurAirports" 5940,"Chitral Airport","Chitral","Pakistan","CJL","OPCH",35.886600494384766,71.80059814453125,4920,5,"N","Asia/Karachi","airport","OurAirports" 5941,"Dalbandin Airport","Dalbandin","Pakistan","DBA","OPDB",28.878299713100002,64.3998031616,2800,5,"N","Asia/Karachi","airport","OurAirports" 5942,"Dera Ghazi Khan Airport","Dera Ghazi Khan","Pakistan","DEA","OPDG",29.961000442504883,70.48590087890625,492,5,"N","Asia/Karachi","airport","OurAirports" 5943,"Dera Ismael Khan Airport","Dera Ismael Khan","Pakistan","DSK","OPDI",31.909400939941406,70.89659881591797,594,5,"N","Asia/Karachi","airport","OurAirports" 5944,"Jiwani Airport","Jiwani","Pakistan","JIW","OPJI",25.067800521900004,61.8054008484,186,5,"N","Asia/Karachi","airport","OurAirports" 5945,"Hyderabad Airport","Hyderabad","Pakistan","HDD","OPKD",25.3181,68.366096,130,5,"N","Asia/Karachi","airport","OurAirports" 5946,"Khuzdar Airport","Khuzdar","Pakistan","KDD","OPKH",27.790599823,66.6473007202,4012,5,"N","Asia/Karachi","airport","OurAirports" 5947,"Ormara Airport","Ormara Raik","Pakistan","ORW","OPOR",25.274700164799995,64.58599853519999,10,5,"N","Asia/Karachi","airport","OurAirports" 5948,"Parachinar Airport","Parachinar","Pakistan","PAJ","OPPC",33.902099609400004,70.0716018677,5800,5,"N","Asia/Karachi","airport","OurAirports" 5949,"Skardu Airport","Skardu","Pakistan","KDU","OPSD",35.33549880981445,75.53600311279297,7316,5,"N","Asia/Karachi","airport","OurAirports" 5950,"Sehwan Sharif Airport","Sehwan Sharif","Pakistan","SYW","OPSN",26.473100662231445,67.71720123291016,121,5,"N","Asia/Karachi","airport","OurAirports" 5951,"Turbat International Airport","Turbat","Pakistan","TUK","OPTU",25.986400604248047,63.03020095825195,498,5,"N","Asia/Karachi","airport","OurAirports" 5952,"Sulaymaniyah International Airport","Sulaymaniyah","Iraq","ISU","ORSU",35.5617485046,45.316738128699996,2494,3,"U","Asia/Baghdad","airport","OurAirports" 5953,"Kamishly Airport","Kamishly","Syria","KAC","OSKL",37.020599365234375,41.19139862060547,1480,2,"E","Asia/Damascus","airport","OurAirports" 5954,"Sayun International Airport","Sayun Intl","Yemen","GXF","OYSY",15.9660997391,48.78829956049999,2097,3,"U","Asia/Aden","airport","OurAirports" 5959,"Adak Airport","Adak Island","United States","ADK","PADK",51.87799835205078,-176.64599609375,18,-10,"A","America/Adak","airport","OurAirports" 5960,"Gustavus Airport","Gustavus","United States","GST","PAGS",58.4253006,-135.7070007,35,-9,"A","America/Anchorage","airport","OurAirports" 5961,"Skagway Airport","Skagway","United States","SGY","PAGY",59.46009826660156,-135.3159942626953,44,-9,"A","America/Anchorage","airport","OurAirports" 5962,"Holy Cross Airport","Holy Cross","United States","HCR","PAHC",62.18830108642578,-159.77499389648438,70,-9,"A","America/Anchorage","airport","OurAirports" 5963,"Haines Airport","Haines","United States","HNS","PAHN",59.24380111694336,-135.5240020751953,15,-9,"A","America/Anchorage","airport","OurAirports" 5964,"Kalskag Airport","Kalskag","United States","KLG","PALG",61.53630065917969,-160.34100341796875,55,-9,"A","America/Anchorage","airport","OurAirports" 5965,"McGrath Airport","Mcgrath","United States","MCG","PAMC",62.95289993,-155.6060028,341,-9,"A","America/Anchorage","airport","OurAirports" 5966,"Mountain Village Airport","Mountain Village","United States","MOU","PAMO",62.095401763916016,-163.6820068359375,337,-9,"A","America/Anchorage","airport","OurAirports" 5967,"Aniak Airport","Aniak","United States","ANI","PANI",61.581600189208984,-159.54299926757812,88,-9,"A","America/Anchorage","airport","OurAirports" 5968,"Chevak Airport","Chevak","United States","VAK","PAVA",61.5409,-165.6005,75,-9,"A","America/Anchorage","airport","OurAirports" 5969,"Wrangell Airport","Wrangell","United States","WRG","PAWG",56.48429871,-132.3699951,49,-9,"A","America/Anchorage","airport","OurAirports" 5982,"Balimo Airport","Balimo","Papua New Guinea","OPU","AYBM",-8.05000019073,142.932998657,51,10,"U","Pacific/Port_Moresby","airport","OurAirports" 5986,"Baimuru Airport","Baimuru","Papua New Guinea","VMU","AYBA",-7.49686002731,144.819900513,27,10,"U","Pacific/Port_Moresby","airport","OurAirports" 5989,"Kalaupapa Airport","Molokai","United States","LUP","PHLU",21.21100044,-156.973999,24,-10,"A","Pacific/Honolulu","airport","OurAirports" 5990,"Eniwetok Airport","Eniwetok Atoll","Marshall Islands","ENT","PKMA",11.340700149536133,162.3280029296875,13,12,"U","Pacific/Majuro","airport","OurAirports" 5991,"Matsu Nangan Airport","Matsu Islands","Taiwan","LZN","RCFG",26.1598,119.958,232,8,"U","Asia/Taipei","airport","OurAirports" 5992,"Hengchun Airport","Hengchun","Taiwan","HCN","RCKW",22.041099548339844,120.7300033569336,46,8,"U","Asia/Taipei","airport","OurAirports" 5993,"Matsu Beigan Airport","Matsu Islands","Taiwan","MFK","RCMT",26.224199,120.002998,41,8,"U","Asia/Taipei","airport","OurAirports" 5994,"Kushiro Airport","Kushiro","Japan","KUH","RJCK",43.041000366199995,144.192993164,327,9,"U","Asia/Tokyo","airport","OurAirports" 5995,"Okadama Airport","Sapporo","Japan","OKD","RJCO",43.117447,141.38134,25,9,"U","Asia/Tokyo","airport","OurAirports" 5996,"Saga Airport","Saga","Japan","HSG","RJFS",33.149700164799995,130.302001953,6,9,"N","Asia/Tokyo","airport","OurAirports" 5997,"Nagoya Airport","Nagoya","Japan","NKM","RJNA",35.255001068115234,136.9239959716797,52,9,"U","Asia/Tokyo","airport","OurAirports" 5998,"Iwami Airport","Iwami","Japan","IWJ","RJOW",34.676399231,131.789993286,184,9,"U","Asia/Tokyo","airport","OurAirports" 5999,"Fukushima Airport","Fukushima","Japan","FKS","RJSF",37.22740173339844,140.43099975585938,1221,9,"U","Asia/Tokyo","airport","OurAirports" 6000,"Odate Noshiro Airport","Odate Noshiro","Japan","ONJ","RJSR",40.1918983459,140.371002197,292,9,"U","Asia/Tokyo","airport","OurAirports" 6001,"Shonai Airport","Shonai","Japan","SYO","RJSY",38.81219863889999,139.787002563,86,9,"U","Asia/Tokyo","airport","OurAirports" 6002,"Miyakejima Airport","Miyakejima","Japan","MYE","RJTQ",34.073600769,139.559997559,67,9,"U","Asia/Tokyo","airport","OurAirports" 6003,"Kunsan Air Base","Kunsan","South Korea","KUV","RKJK",35.90380096435547,126.61599731445312,29,9,"U","Asia/Seoul","airport","OurAirports" 6004,"Mokpo Heliport","Mokpo","South Korea","MPK","RKJM",34.7588996887,126.379997253,23,9,"U","Asia/Seoul","airport","OurAirports" 6005,"Wonju/Hoengseong Air Base (K-38/K-46)","Wonju","South Korea","WJU","RKNW",37.441201,127.963858,329,9,"U","Asia/Seoul","airport","OurAirports" 6006,"Yangyang International Airport","Sokcho / Gangneung","South Korea","YNY","RKNY",38.061298,128.669006,241,9,"U","Asia/Seoul","airport","OurAirports" 6007,"Sacheon Air Base/Airport","Sacheon","South Korea","HIN","RKPS",35.088591,128.071747,25,9,"U","Asia/Seoul","airport","OurAirports" 6008,"Cheongju International Airport/Cheongju Air Base (K-59/G-513)","Chongju","South Korea","CJJ","RKTU",36.717008,127.498741,191,9,"U","Asia/Seoul","airport","OurAirports" 6009,"Subic Bay International Airport","Olongapo City","Philippines","SFS","RPLB",14.794400215148926,120.27100372314453,64,8,"N","Asia/Manila","airport","OurAirports" 6010,"Cuyo Airport","Cuyo","Philippines","CYU","RPLO",10.858099937438965,121.06900024414062,0,8,"N","Asia/Manila","airport","OurAirports" 6011,"Rajah Buayan Air Base","General Santos City","Philippines",\N,"RPMB",6.10644006729,125.23500061,28,8,"N","Asia/Manila","airport","OurAirports" 6012,"Camiguin Airport","Camiguin","Philippines","CGM","RPMH",9.253520011901855,124.70700073242188,53,8,"N","Asia/Manila","airport","OurAirports" 6013,"Jolo Airport","Jolo","Philippines","JOL","RPMJ",6.0536699295043945,121.01100158691406,118,8,"N","Asia/Manila","airport","OurAirports" 6014,"Sanga Sanga Airport","Sanga Sanga","Philippines","TWT","RPMN",5.046991,119.742996,15,8,"N","Asia/Manila","airport","OurAirports" 6016,"Surigao Airport","Sangley Point","Philippines","SUG","RPMS",9.755838325629998,125.480947495,20,8,"N","Asia/Manila","airport","OurAirports" 6017,"Tandag Airport","Tandag","Philippines","TDG","RPMW",9.072110176086426,126.1709976196289,16,8,"N","Asia/Manila","airport","OurAirports" 6018,"Naga Airport","Naga","Philippines","WNP","RPUN",13.58489990234375,123.2699966430664,142,8,"N","Asia/Manila","airport","OurAirports" 6019,"Basco Airport","Basco","Philippines","BSO","RPUO",20.4513,121.980003,291,8,"N",\N,"airport","OurAirports" 6020,"San Fernando Airport","San Fernando","Philippines","SFE","RPUS",16.595600128173828,120.3030014038086,13,8,"N","Asia/Manila","airport","OurAirports" 6021,"Tuguegarao Airport","Tuguegarao","Philippines","TUG","RPUT",17.6433676823,121.733150482,70,8,"N","Asia/Manila","airport","OurAirports" 6022,"Virac Airport","Virac","Philippines","VRC","RPUV",13.576399803161621,124.20600128173828,121,8,"N","Asia/Manila","airport","OurAirports" 6023,"Calbayog Airport","Calbayog City","Philippines","CYP","RPVC",12.072699546813965,124.54499816894531,12,8,"N","Asia/Manila","airport","OurAirports" 6024,"Catarman National Airport","Catarman","Philippines","CRM","RPVF",12.502400398254395,124.63600158691406,6,8,"N","Asia/Manila","airport","OurAirports" 6025,"Moises R. Espinosa Airport","Masbate","Philippines","MBT","RPVJ",12.369682,123.630095,49,8,"N","Asia/Manila","airport","OurAirports" 6026,"Roxas Airport","Roxas City","Philippines","RXS","RPVR",11.597700119018555,122.75199890136719,10,8,"N","Asia/Manila","airport","OurAirports" 6027,"General Enrique Mosconi Airport","Tartagal","Argentina","TTG","SAST",-22.619600296,-63.7937011719,1472,-3,"N","America/Argentina/Salta","airport","OurAirports" 6028,"Las Heras Airport","Las Heras","Argentina","LHS","SAVH",-46.53829956049999,-68.9653015137,1082,-3,"N","America/Argentina/Rio_Gallegos","airport","OurAirports" 6029,"Antoine de Saint Exupéry Airport","San Antonio Oeste","Argentina","OES","SAVN",-40.7512,-65.0343,85,-3,"N","America/Argentina/Salta","airport","OurAirports" 6030,"Lago Argentino Airport","El Calafate","Argentina","ING","SAWA",-50.336102,-72.248596,732,-3,"N","America/Argentina/Rio_Gallegos","airport","OurAirports" 6031,"Gobernador Gregores Airport","Gobernador Gregores","Argentina","GGS","SAWR",-48.7831,-70.150002,356,-3,"N","America/Argentina/Rio_Gallegos","airport","OurAirports" 6032,"Santa Teresita Airport","Santa Teresita","Argentina","SST","SAZL",-36.5423,-56.7218,9,-3,"N","America/Buenos_Aires","airport","OurAirports" 6033,"Necochea Airport","Necochea","Argentina","NEC","SAZO",-38.4831,-58.8172,72,-3,"N","America/Buenos_Aires","airport","OurAirports" 6034,"Orlando Bezerra de Menezes Airport","Juazeiro Do Norte","Brazil","JDO","SBJU",-7.21895980835,-39.270099639899996,1392,-3,"S","America/Fortaleza","airport","OurAirports" 6036,"Coronel Horácio de Mattos Airport","Lençóis","Brazil","LEC","SBLE",-12.4822998047,-41.2770004272,1676,-3,"S","America/Fortaleza","airport","OurAirports" 6037,"Macaé Airport","Macaé","Brazil","MEA","SBME",-22.343000412,-41.7659988403,8,-3,"S","America/Sao_Paulo","airport","OurAirports" 6038,"Frank Miloye Milenkowichi–Marília State Airport","Marília","Brazil","MII","SBML",-22.1968994141,-49.926399231,2122,-3,"S","America/Sao_Paulo","airport","OurAirports" 6039,"Vitória da Conquista Airport","Vitória Da Conquista","Brazil","VDC","SBQV",-14.8627996445,-40.8630981445,3002,-3,"S","America/Fortaleza","airport","OurAirports" 6040,"Santa Maria Airport","Santa Maria","Brazil","RIA","SBSM",-29.711399,-53.688202,287,-3,"S","America/Sao_Paulo","airport","OurAirports" 6041,"Toledo Airport","Toledo","Brazil","TOW","SBTD",-24.6863,-53.697498,1843,-3,"S","America/Sao_Paulo","airport","OurAirports" 6042,"Ricardo García Posada Airport","El Salvador","Chile","ESR","SCES",-26.311100006103516,-69.76519775390625,5240,-4,"S","America/Santiago","airport","OurAirports" 6043,"Pucón Airport","Pucon","Chile","ZPC","SCPC",-39.29280090332031,-71.91590118408203,853,-4,"S","America/Santiago","airport","OurAirports" 6044,"Sorocaba Airport","Sorocaba","Brazil","SOD","SDCO",-23.478001,-47.490002,2077,-3,"S","America/Sao_Paulo","airport","OurAirports" 6045,"San Cristóbal Airport","San Cristóbal","Ecuador","SCY","SEST",-0.910206,-89.617401,62,-6,"U","Pacific/Galapagos","airport","OurAirports" 6046,"Camilo Ponce Enriquez Airport","La Toma (Catamayo)","Ecuador","LOH","SETM",-3.99589,-79.371902,4056,-5,"U","America/Guayaquil","airport","OurAirports" 6047,"General Rivadeneira Airport","Esmeraldas","Ecuador","ESM","SETN",0.9785190224647522,-79.62660217285156,32,-5,"U","America/Guayaquil","airport","OurAirports" 6048,"Port Stanley Airport","Stanley","Falkland Islands","PSY","SFAL",-51.685699462891,-57.777599334717,75,-3,"U","Atlantic/Stanley","airport","OurAirports" 6049,"Santa Ana Airport","Cartago","Colombia","CRC","SKGO",4.75818,-75.9557,2979,-5,"U","America/Bogota","airport","OurAirports" 6050,"La Jagua Airport","Garzón","Colombia",\N,"SKGZ",2.1464,-75.6944,2620,-5,"U","America/Bogota","airport","OurAirports" 6051,"Caucaya Airport","Puerto Leguízamo","Colombia","LQM","SKLG",-0.182278,-74.7708,573,-5,"U","America/Bogota","airport","OurAirports" 6052,"La Pedrera Airport","La Pedrera","Colombia","LPD","SKLP",-1.32861,-69.5797,590,-5,"U","America/Bogota","airport","OurAirports" 6053,"Reyes Murillo Airport","Nuquí","Colombia","NQU","SKNQ",5.6964,-77.2806,12,-5,"U","America/Bogota","airport","OurAirports" 6054,"Obando Airport","Puerto Inírida","Colombia","PDA","SKPD",3.85353,-67.9062,460,-5,"U","America/Bogota","airport","OurAirports" 6055,"El Yopal Airport","Yopal","Colombia","EYP","SKYP",5.31911,-72.384,1028,-5,"U","America/Bogota","airport","OurAirports" 6056,"Capitán de Av. Emilio Beltrán Airport","Guayaramerín","Bolivia","GYA","SLGY",-10.820599556,-65.3455963135,557,-4,"U","America/La_Paz","airport","OurAirports" 6057,"Puerto Rico Airport","Puerto Rico/Manuripi","Bolivia","PUR","SLPR",-11.107663,-67.551155,597,-4,"U","America/La_Paz","airport","OurAirports" 6058,"Capitán Av. Selin Zeitun Lopez Airport","Riberalta","Bolivia","RIB","SLRI",-11,-66,462,-4,"U","America/La_Paz","airport","OurAirports" 6059,"Reyes Airport","Reyes","Bolivia","REY","SLRY",-14.3044,-67.353401,935,-4,"U","America/La_Paz","airport","OurAirports" 6060,"Capitán Av. German Quiroga G. Airport","San Borja","Bolivia","SRJ","SLSB",-14.859199523925781,-66.73750305175781,633,-4,"U","America/La_Paz","airport","OurAirports" 6061,"Zorg en Hoop Airport","Paramaribo","Suriname","ORG","SMZO",5.81108,-55.190701,10,-3,"U","America/Paramaribo","airport","OurAirports" 6062,"Mucuri Airport","Mucuri","Brazil","MVS","SNMU",-18.048900604248047,-39.864200592041016,276,-3,"S","America/Fortaleza","airport","OurAirports" 6065,"Caballococha Airport","Caballococha","Peru",\N,"SPBC",-3.91686010361,-70.5082015991,328,-5,"U","America/Lima","airport","OurAirports" 6066,"Mayor General FAP Armando Revoredo Iglesias Airport","Cajamarca","Peru","CJA","SPJR",-7.1391801834106445,-78.4894027709961,8781,-5,"U","America/Lima","airport","OurAirports" 6067,"Alferez Fap David Figueroa Fernandini Airport","Huánuco","Peru","HUU","SPNC",-9.878809928894043,-76.20480346679688,6070,-5,"U","America/Lima","airport","OurAirports" 6068,"Maria Reiche Neuman Airport","Nazca","Peru","NZC","SPZA",-14.854000091600001,-74.9615020752,1860,-5,"U","America/Lima","airport","OurAirports" 6069,"Santa Rosa Airport","Santa Rosa","Brazil","SRA","SSZR",-27.9067,-54.520401,984,-3,"S","America/Sao_Paulo","airport","OurAirports" 6070,"El Jagüel / Punta del Este Airport","Maldonado","Uruguay",\N,"SUPE",-34.9169998169,-54.916999816899995,66,-3,"S","America/Montevideo","airport","OurAirports" 6071,"Escuela Mariscal Sucre Airport","Maracay","Venezuela","MYC","SVBS",10.249978065490723,-67.64942169189453,1338,-4,"U","America/Caracas","airport","OurAirports" 6072,"Juan Pablo Pérez Alfonso Airport","El Vigía","Venezuela","VIG","SVVG",8.624139,-71.672668,250,-4,"U","America/Caracas","airport","OurAirports" 6073,"Ji-Paraná Airport","Ji-Paraná","Brazil","JPR","SWJI",-10.870800018299999,-61.8465003967,598,-4,"S","America/Boa_Vista","airport","OurAirports" 6074,"Codrington Airport","Codrington","Antigua and Barbuda","BBQ","TAPH",17.635799,-61.828602,15,-4,"U","America/Antigua","airport","OurAirports" 6075,"La Désirade Airport","Grande Anse","Guadeloupe","DSD","TFFA",16.296902,-61.0844,10,-4,"U","America/Guadeloupe","airport","OurAirports" 6076,"Baillif Airport","Basse Terre","Guadeloupe","BBR","TFFB",16.0132999420166,-61.7421989440918,59,-4,"U","America/Guadeloupe","airport","OurAirports" 6077,"St-François Airport","St-François","Guadeloupe","SFC","TFFC",16.25779914855957,-61.26250076293945,10,-4,"U","America/Guadeloupe","airport","OurAirports" 6078,"Les Bases Airport","Grand Bourg","Guadeloupe","GBJ","TFFM",15.86870002746582,-61.27000045776367,16,-4,"U","America/Guadeloupe","airport","OurAirports" 6079,"Vance W. Amory International Airport","Charlestown","Saint Kitts and Nevis","NEV","TKPN",17.205699920654297,-62.589900970458984,14,-4,"U","America/St_Kitts","airport","OurAirports" 6080,"Virgin Gorda Airport","Spanish Town","British Virgin Islands","VIJ","TUPW",18.446399688720703,-64.42749786376953,9,-4,"U","America/Tortola","airport","OurAirports" 6081,"J F Mitchell Airport","Bequia","Saint Vincent and the Grenadines","BQU","TVSB",12.9884004593,-61.2620010376,15,-4,"U","America/St_Vincent","airport","OurAirports" 6082,"Union Island International Airport","Union Island","Saint Vincent and the Grenadines","UNI","TVSU",12.60013484954834,-61.41194534301758,16,-4,"U","America/St_Vincent","airport","OurAirports" 6083,"Kokshetau Airport","Kokshetau","Kazakhstan","KOV","UACK",53.329102,69.594597,900,6,"U","Asia/Qyzylorda","airport","OurAirports" 6084,"Petropavlosk South Airport","Petropavlosk","Kazakhstan","PPK","UACP",54.77470016479492,69.18389892578125,453,6,"U","Asia/Qyzylorda","airport","OurAirports" 6085,"Zhezkazgan Airport","Zhezkazgan","Kazakhstan","DZN","UAKD",47.708302,67.733299,1250,6,"U","Asia/Qyzylorda","airport","OurAirports" 6086,"Ust-Kamennogorsk Airport","Ust Kamenogorsk","Kazakhstan","UKK","UASK",50.036598205566406,82.49420166015625,939,6,"U","Asia/Qyzylorda","airport","OurAirports" 6088,"Kostanay West Airport","Kostanay","Kazakhstan","KSN","UAUU",53.20690155029297,63.55030059814453,595,6,"U","Asia/Qyzylorda","airport","OurAirports" 6089,"Ganja Airport","Ganja","Azerbaijan","KVD","UBBG",40.737701416015625,46.31760025024414,1083,4,"E","Asia/Baku","airport","OurAirports" 6090,"Nakhchivan Airport","Nakhchivan","Azerbaijan","NAJ","UBBN",39.18880081176758,45.45840072631836,2863,4,"E","Asia/Baku","airport","OurAirports" 6091,"Chulman Airport","Neryungri","Russia","NER","UELL",56.913898468018,124.91400146484,2812,9,"N","Asia/Yakutsk","airport","OurAirports" 6092,"Polyarny Airport","Yakutia","Russia","PYJ","UERP",66.4003982544,112.029998779,1660,9,"N","Asia/Yakutsk","airport","OurAirports" 6093,"Chokurdakh Airport","Chokurdah","Russia","CKH","UESO",70.62310028076172,147.90199279785156,151,11,"N","Asia/Srednekolymsk","airport","OurAirports" 6094,"Cherskiy Airport","Cherskiy","Russia","CYX","UESS",68.7406005859375,161.33799743652344,20,11,"N","Asia/Srednekolymsk","airport","OurAirports" 6095,"Tiksi Airport","Tiksi","Russia","IKS","UEST",71.697700500488,128.90299987793,26,9,"N","Asia/Yakutsk","airport","OurAirports" 6097,"Komsomolsk-on-Amur Airport","Komsomolsk-on-Amur","Russia","KXK","UHKK",50.409000396728516,136.9340057373047,92,10,"N","Asia/Vladivostok","airport","OurAirports" 6098,"Ugolny Airport","Anadyr","Russia","DYR","UHMA",64.734902,177.740997,194,12,"N","Asia/Anadyr","airport","OurAirports" 6099,"Okhotsk Airport","Okhotsk","Russia","OHO","UHOO",59.410064697265625,143.05650329589844,0,10,"N","Asia/Vladivostok","airport","OurAirports" 6100,"Ujae Atoll Airport","Ujae Atoll","Marshall Islands","UJE","UJAP",8.92805957794,165.761993408,29,12,"U","Pacific/Majuro","airport","OurAirports" 6101,"Mariupol International Airport","Mariupol International","Ukraine","MPW","UKCM",47.07609939575195,37.44960021972656,251,2,"E","Europe/Kiev","airport","OurAirports" 6102,"Luhansk International Airport","Lugansk","Ukraine","VSG","UKCW",48.4174003601,39.3740997314,636,2,"E","Europe/Kiev","airport","OurAirports" 6103,"Zaporizhzhia International Airport","Zaporozhye","Ukraine","OZH","UKDE",47.867000579833984,35.31570053100586,373,2,"E","Europe/Kiev","airport","OurAirports" 6104,"Kryvyi Rih International Airport","Krivoy Rog","Ukraine","KWG","UKDR",48.04330062866211,33.209999084472656,408,2,"E","Europe/Kiev","airport","OurAirports" 6105,"Kharkiv International Airport","Kharkov","Ukraine","HRK","UKHH",49.924800872802734,36.290000915527344,508,2,"E","Europe/Kiev","airport","OurAirports" 6106,"Ivano-Frankivsk International Airport","Ivano-Frankivsk","Ukraine","IFO","UKLI",48.88420104980469,24.686100006103516,919,2,"E","Europe/Kiev","airport","OurAirports" 6107,"Chernivtsi International Airport","Chernovtsk","Ukraine","CWC","UKLN",48.259300231933594,25.98080062866211,826,2,"E","Europe/Kiev","airport","OurAirports" 6108,"Rivne International Airport","Rivne","Ukraine","RWN","UKLR",50.60710144042969,26.141599655151367,755,2,"E","Europe/Kiev","airport","OurAirports" 6109,"Uzhhorod International Airport","Uzhgorod","Ukraine","UDJ","UKLU",48.634300231933594,22.263399124145508,383,2,"E","Europe/Kiev","airport","OurAirports" 6110,"Solovki Airport","Solovetsky Islands","Russia","CSH","ULAS",65.0299987793,35.7333335876,60,3,"N","Europe/Moscow","airport","OurAirports" 6111,"Cherepovets Airport","Cherepovets","Russia","CEE","ULBC",59.273601532,38.015800476100004,377,3,"N","Europe/Moscow","airport","OurAirports" 6112,"Amderma Airport","Amderma","Russia","AMV","ULDD",69.76329803466797,61.556400299072266,13,3,"N","Europe/Moscow","airport","OurAirports" 6113,"Kotlas Airport","Kotlas","Russia","KSZ","ULKK",61.235801696777344,46.6974983215332,184,3,"N","Europe/Moscow","airport","OurAirports" 6114,"Petrozavodsk Airport","Petrozavodsk","Russia","PES","ULPB",61.88520050048828,34.154701232910156,151,3,"N","Europe/Moscow","airport","OurAirports" 6115,"Hrodna Airport","Hrodna","Belarus","GNA","UMMG",53.60200119018555,24.053800582885742,443,3,"E","Europe/Minsk","airport","OurAirports" 6116,"Mogilev Airport","Mogilev","Belarus","MVQ","UMOO",53.954898834228516,30.09510040283203,637,3,"E","Europe/Minsk","airport","OurAirports" 6117,"Yeniseysk Airport","Yeniseysk","Russia","EIE","UNII",58.47420120239258,92.11250305175781,253,7,"N","Asia/Krasnoyarsk","airport","OurAirports" 6118,"Kyzyl Airport","Kyzyl","Russia","KYZ","UNKY",51.66939926147461,94.40059661865234,2123,7,"N","Asia/Krasnoyarsk","airport","OurAirports" 6119,"Spichenkovo Airport","Novokuznetsk","Russia","NOZ","UNWW",53.811401,86.877197,1024,7,"N","Asia/Krasnoyarsk","airport","OurAirports" 6120,"Khatanga Airport","Khatanga","Russia","HTG","UOHH",71.97810363769531,102.49099731445312,95,7,"N","Asia/Krasnoyarsk","airport","OurAirports" 6121,"Igarka Airport","Igarka","Russia","IAA","UOII",67.43720245361328,86.62190246582031,82,7,"N","Asia/Krasnoyarsk","airport","OurAirports" 6122,"Khankala Air Base","Grozny","Russia",\N,"URMG",43.298099517822266,45.78409957885742,548,3,"N","Europe/Moscow","airport","OurAirports" 6123,"Nalchik Airport","Nalchik","Russia","NAL","URMN",43.512901306152344,43.636600494384766,1461,3,"N","Europe/Moscow","airport","OurAirports" 6124,"Beslan Airport","Beslan","Russia","OGZ","URMO",43.2051010132,44.6066017151,1673,3,"N","Europe/Moscow","airport","OurAirports" 6125,"Elista Airport","Elista","Russia","ESL","URWI",46.3739013671875,44.33089828491211,501,3,"N","Europe/Moscow","airport","OurAirports" 6126,"Aleknagik / New Airport","Aleknagik","United States","WKK","5A8",59.2826004028,-158.617996216,66,-9,"A","America/Anchorage","airport","OurAirports" 6128,"Mercer County Airport","Bluefield","United States","BLF","KBLF",37.295799255371094,-81.20770263671875,2857,-5,"A","America/New_York","airport","OurAirports" 6130,"Mid Delta Regional Airport","Greenville","United States","GLH","KGLH",33.4828987121582,-90.98560333251953,131,-6,"A","America/Chicago","airport","OurAirports" 6133,"Tri Cities Airport","Pasco","United States","PSC","KPSC",46.26470184326172,-119.11900329589844,410,-8,"A","America/Los_Angeles","airport","OurAirports" 6134,"Akutan Seaplane Base","Akutan","United States","KQA","KQA",54.1337704415,-165.778895617,0,-9,"A","America/Anchorage","airport","OurAirports" 6136,"Lopez Island Airport","Lopez","United States","LPS","S31",48.4838981628418,-122.93800354003906,209,-8,"A","America/Los_Angeles","airport","OurAirports" 6137,"Salekhard Airport","Salekhard","Russia","SLY","USDD",66.5907974243164,66.61100006103516,218,5,"N","Asia/Yekaterinburg","airport","OurAirports" 6138,"Khanty Mansiysk Airport","Khanty-Mansiysk","Russia","HMA","USHH",61.028499603271484,69.08609771728516,76,5,"N","Asia/Yekaterinburg","airport","OurAirports" 6139,"Nyagan Airport","Nyagan","Russia","NYA","USHN",62.110001,65.614998,361,5,"N","Asia/Yekaterinburg","airport","OurAirports" 6140,"Sovetskiy Airport","Sovetskiy","Russia","OVS","USHS",61.326622009277344,63.60191345214844,351,5,"N","Asia/Yekaterinburg","airport","OurAirports" 6141,"Izhevsk Airport","Izhevsk","Russia","IJK","USII",56.82809829711914,53.45750045776367,531,4,"N","Europe/Samara","airport","OurAirports" 6142,"Pobedilovo Airport","Kirov","Russia","KVX","USKK",58.503299713135,49.348300933838,479,3,"N","Europe/Moscow","airport","OurAirports" 6143,"Nadym Airport","Nadym","Russia","NYM","USMM",65.48090362548828,72.69889831542969,49,5,"N","Asia/Yekaterinburg","airport","OurAirports" 6144,"Raduzhny Airport","Raduzhnyi","Russia","RAT","USNR",62.1585998535,77.32890319820001,250,5,"N","Asia/Yekaterinburg","airport","OurAirports" 6145,"Nefteyugansk Airport","Nefteyugansk","Russia","NFG","USRN",61.108299255371094,72.6500015258789,115,5,"N","Asia/Yekaterinburg","airport","OurAirports" 6146,"Kurgan Airport","Kurgan","Russia","KRO","USUU",55.47529983520508,65.41560363769531,240,5,"N","Asia/Yekaterinburg","airport","OurAirports" 6147,"Khudzhand Airport","Khudzhand","Tajikistan","LBD","UTDL",40.21540069580078,69.6947021484375,1450,5,"U","Asia/Dushanbe","airport","OurAirports" 6148,"Andizhan Airport","Andizhan","Uzbekistan","AZN","UTKA",40.7276992798,72.2939987183,1515,5,"U","Asia/Samarkand","airport","OurAirports" 6149,"Fergana International Airport","Fergana","Uzbekistan","FEG","UTKF",40.358798980699994,71.7450027466,1980,5,"U","Asia/Samarkand","airport","OurAirports" 6150,"Namangan Airport","Namangan","Uzbekistan","NMA","UTKN",40.9846000671,71.5567016602,1555,5,"U","Asia/Samarkand","airport","OurAirports" 6151,"Nukus Airport","Nukus","Uzbekistan","NCU","UTNN",42.488399505615234,59.62329864501953,246,5,"U","Asia/Samarkand","airport","OurAirports" 6152,"Urgench Airport","Urgench","Uzbekistan","UGC","UTNU",41.58430099487305,60.641700744628906,320,5,"U","Asia/Samarkand","airport","OurAirports" 6153,"Karshi Khanabad Airport","Khanabad","Uzbekistan","KSQ","UTSL",38.8335990906,65.9215011597,1365,5,"U","Asia/Samarkand","airport","OurAirports" 6154,"Termez Airport","Termez","Uzbekistan","TMJ","UTST",37.28670120239258,67.30999755859375,1027,5,"U","Asia/Samarkand","airport","OurAirports" 6155,"Staroselye Airport","Rybinsk","Russia","RYB","UUBK",58.10419845581055,38.92940139770508,423,3,"N","Europe/Moscow","airport","OurAirports" 6156,"Belgorod International Airport","Belgorod","Russia","EGO","UUOB",50.643798828125,36.5900993347168,735,3,"N","Europe/Moscow","airport","OurAirports" 6157,"Kursk East Airport","Kursk","Russia","URS","UUOK",51.7505989074707,36.29560089111328,686,3,"N","Europe/Moscow","airport","OurAirports" 6158,"Lipetsk Airport","Lipetsk","Russia","LPK","UUOL",52.70280075073242,39.53779983520508,584,3,"N","Europe/Moscow","airport","OurAirports" 6159,"Vorkuta Airport","Vorkuta","Russia","VKT","UUYW",67.48860168457031,63.993099212646484,604,3,"N","Europe/Moscow","airport","OurAirports" 6160,"Bugulma Airport","Bugulma","Russia","UUA","UWKB",54.63999938964844,52.801700592041016,991,3,"N","Europe/Moscow","airport","OurAirports" 6161,"Yoshkar-Ola Airport","Yoshkar-Ola","Russia","JOK","UWKJ",56.700599670410156,47.904701232910156,348,3,"N","Europe/Moscow","airport","OurAirports" 6162,"Cheboksary Airport","Cheboksary","Russia","CSY","UWKS",56.090301513671875,47.3473014831543,558,3,"N","Europe/Moscow","airport","OurAirports" 6163,"Ulyanovsk East Airport","Ulyanovsk","Russia","ULY","UWLW",54.4010009765625,48.80270004272461,252,4,"N","Europe/Samara","airport","OurAirports" 6164,"Orsk Airport","Orsk","Russia","OSW","UWOR",51.0724983215332,58.59560012817383,909,5,"N","Asia/Yekaterinburg","airport","OurAirports" 6165,"Penza Airport","Penza","Russia","PEZ","UWPP",53.110599517822266,45.02109909057617,614,3,"N","Europe/Moscow","airport","OurAirports" 6166,"Saransk Airport","Saransk","Russia","SKX","UWPS",54.12512969970703,45.212257385253906,676,3,"N","Europe/Moscow","airport","OurAirports" 6167,"Balakovo Airport","Balakovo","Russia","BWO","UWSB",51.8582992554,47.7456016541,95,3,"N","Europe/Moscow","airport","OurAirports" 6168,"Hubli Airport","Hubli","India","HBX","VAHB",15.361700058,75.08489990230001,2171,5.5,"N","Asia/Calcutta","airport","OurAirports" 6169,"Koggala Airport","Koggala","Sri Lanka","KCT","VCCK",5.993680000305176,80.32029724121094,10,5.5,"U","Asia/Colombo","airport","OurAirports" 6170,"Weerawila Airport","Wirawila","Sri Lanka","WRZ","VCCW",6.25448989868,81.23519897460001,50,5.5,"U","Asia/Colombo","airport","OurAirports" 6171,"Battambang Airport","Battambang","Cambodia","BBM","VDBG",13.095600128173828,103.2239990234375,59,7,"U","Asia/Phnom_Penh","airport","OurAirports" 6172,"Shillong Airport","Shillong","India","SHL","VEBI",25.70359992980957,91.97869873046875,2910,5.5,"N","Asia/Calcutta","airport","OurAirports" 6173,"Lokpriya Gopinath Bordoloi International Airport","Guwahati","India","GAU","VEGT",26.10610008239746,91.58589935302734,162,5.5,"N","Asia/Calcutta","airport","OurAirports" 6174,"Dimapur Airport","Dimapur","India","DMU","VEMR",25.883899688699998,93.77110290530001,487,5.5,"N","Asia/Calcutta","airport","OurAirports" 6175,"Tezpur Airport","Tezpur","India","TEZ","VETZ",26.7091007232666,92.78469848632812,240,5.5,"N","Asia/Calcutta","airport","OurAirports" 6176,"Barisal Airport","Barisal","Bangladesh","BZL","VGBR",22.801000595092773,90.30120086669922,23,6,"U","Asia/Dhaka","airport","OurAirports" 6177,"Ban Huoeisay Airport","Huay Xai","Laos","HOE","VLHS",20.2572994232,100.43699646,1380,7,"N","Asia/Vientiane","airport","OurAirports" 6179,"Bharatpur Airport","Bharatpur","Nepal","BHR","VNBP",27.678101,84.429398,600,5.75,"N","Asia/Katmandu","airport","OurAirports" 6180,"Bhadrapur Airport","Chandragarhi","Nepal","BDP","VNCG",26.5708007812,88.07959747310001,300,5.75,"N","Asia/Katmandu","airport","OurAirports" 6181,"Meghauli Airport","Meghauli","Nepal","MEY","VNMG",27.5774,84.22875,600,5.75,"N","Asia/Katmandu","airport","OurAirports" 6182,"Nepalgunj Airport","Nepalgunj","Nepal","KEP","VNNG",28.103599548339844,81.66699981689453,540,5.75,"N","Asia/Katmandu","airport","OurAirports" 6183,"Gan International Airport","Gan Island","Maldives","GAN","VRMG",-0.693342,73.155602,6,5,"U","Indian/Maldives","airport","OurAirports" 6184,"Hanimaadhoo Airport","Haa Dhaalu Atoll","Maldives","HAQ","VRMH",6.744229793548584,73.17050170898438,4,5,"U","Indian/Maldives","airport","OurAirports" 6185,"Kadhdhoo Airport","Laamu Atoll","Maldives","KDO","VRMK",1.8591699600219727,73.52189636230469,4,5,"U","Indian/Maldives","airport","OurAirports" 6186,"Mae Sot Airport","Tak","Thailand","MAQ","VTPM",16.699899673461914,98.54509735107422,690,7,"U","Asia/Bangkok","airport","OurAirports" 6187,"Buon Ma Thuot Airport","Buonmethuot","Vietnam","BMV","VVBM",12.668299675,108.120002747,1729,7,"U","Asia/Saigon","airport","OurAirports" 6188,"Cat Bi International Airport","Haiphong","Vietnam","HPH","VVCI",20.819400787353516,106.7249984741211,6,7,"U","Asia/Saigon","airport","OurAirports" 6189,"Cam Ranh Airport","Nha Trang","Vietnam","CXR","VVCR",11.998200416564941,109.21900177001953,40,7,"U","Asia/Saigon","airport","OurAirports" 6190,"Co Ong Airport","Conson","Vietnam","VCS","VVCS",8.73183,106.633003,20,7,"U","Asia/Saigon","airport","OurAirports" 6191,"Can Tho International Airport","Can Tho","Vietnam","VCA","VVCT",10.085100174,105.711997986,9,7,"U","Asia/Saigon","airport","OurAirports" 6192,"Dien Bien Phu Airport","Dienbienphu","Vietnam","DIN","VVDB",21.3974990845,103.008003235,1611,7,"U","Asia/Saigon","airport","OurAirports" 6193,"Phu Cat Airport","Phucat","Vietnam","UIH","VVPC",13.955,109.042,80,7,"U","Asia/Saigon","airport","OurAirports" 6194,"Pleiku Airport","Pleiku","Vietnam","PXU","VVPK",14.004500389099121,108.01699829101562,2434,7,"U","Asia/Saigon","airport","OurAirports" 6195,"Vinh Airport","Vinh","Vietnam","VII","VVVH",18.7376003265,105.67099762,23,7,"U","Asia/Saigon","airport","OurAirports" 6196,"Banmaw Airport","Banmaw","Burma","BMO","VYBM",24.268999099731445,97.24620056152344,370,6.5,"U","Asia/Rangoon","airport","OurAirports" 6197,"Dawei Airport","Dawei","Burma","TVY","VYDW",14.103899955749512,98.20359802246094,84,6.5,"U","Asia/Rangoon","airport","OurAirports" 6198,"Kawthoung Airport","Kawthoung","Burma","KAW","VYKT",10.049300193786621,98.53800201416016,180,6.5,"U","Asia/Rangoon","airport","OurAirports" 6199,"Loikaw Airport","Loikaw","Burma","LIW","VYLK",19.691499710083008,97.21479797363281,2940,6.5,"U","Asia/Rangoon","airport","OurAirports" 6200,"Mawlamyine Airport","Mawlamyine","Burma","MNU","VYMM",16.444700241088867,97.66069793701172,52,6.5,"U","Asia/Rangoon","airport","OurAirports" 6201,"Pathein Airport","Pathein","Burma","BSX","VYPN",16.815201,94.7799,20,6.5,"U","Asia/Rangoon","airport","OurAirports" 6202,"Pakhokku Airport","Pakhokku","Burma","PKK","VYPU",21.4043,95.11125,151,6.5,"U","Asia/Rangoon","airport","OurAirports" 6203,"Sumbawa Besar Airport","Sumbawa Island","Indonesia","SWQ","WADS",-8.48904037475586,117.41200256347656,16,8,"N","Asia/Makassar","airport","OurAirports" 6204,"Tambolaka Airport","Waikabubak-Sumba Island","Indonesia","TMC","WADT",-9.40972,119.244003,161,8,"N","Asia/Makassar","airport","OurAirports" 6205,"Bokondini Airport","Bokondini-Papua Island","Indonesia","BUI","WAJB",-3.6822,138.6755,4550,9,"N","Asia/Jayapura","airport","OurAirports" 6206,"Senggeh Airport","Senggeh-Papua Island","Indonesia","SEH","WAJS",-3.45,140.779,914,9,"N","Asia/Jayapura","airport","OurAirports" 6207,"Tanjung Harapan Airport","Tanjung Selor-Borneo Island","Indonesia","TJS","WALG",2.83583333333,117.373611111,10,8,"N","Asia/Makassar","airport","OurAirports" 6208,"Datadawai Airport","Datadawai-Borneo Island","Indonesia","DTD","WALJ",0.8106,114.5306,508,8,"N","Asia/Makassar","airport","OurAirports" 6209,"Kalimarau Airport","Tanjung Redep-Borneo Island","Indonesia","BEJ","WALK",2.1555,117.431999,59,8,"N","Asia/Makassar","airport","OurAirports" 6210,"Warukin Airport","Tanjung-Borneo Island","Indonesia","TJG","WAON",-2.21655988693,115.435997009,197,8,"N","Asia/Makassar","airport","OurAirports" 6211,"Sampit(Hasan) Airport","Sampit-Borneo Island","Indonesia","SMQ","WAOS",-2.49919009209,112.974998474,50,7,"N","Asia/Jakarta","airport","OurAirports" 6212,"Dumatumbun Airport","Langgur-Kei Islands","Indonesia","LUV","WAPL",-5.661620140075684,132.7310028076172,10,9,"N","Asia/Jayapura","airport","OurAirports" 6213,"Mali Airport","Alor Island","Indonesia","ARD","WATM",-8.132340431213379,124.59700012207031,10,8,"N","Asia/Makassar","airport","OurAirports" 6214,"Belaga Airport","Belaga","Malaysia","BLG","WBGC",2.65000009537,113.766998291,200,8,"N","Asia/Kuala_Lumpur","airport","OurAirports" 6215,"Long Lellang Airport","Long Datih","Malaysia","LGL","WBGF",3.4210000038099997,115.153999329,1400,8,"N","Asia/Kuala_Lumpur","airport","OurAirports" 6216,"Long Seridan Airport","Long Seridan","Malaysia","ODN","WBGI",3.9670000076293945,115.05000305175781,607,8,"N","Asia/Kuala_Lumpur","airport","OurAirports" 6217,"Mukah Airport","Mukah","Malaysia","MKM","WBGK",2.90639,112.080002,13,8,"N","Asia/Kuala_Lumpur","airport","OurAirports" 6218,"Bakalalan Airport","Bakalalan","Malaysia","BKM","WBGQ",3.9739999771118164,115.61799621582031,2900,8,"N","Asia/Kuala_Lumpur","airport","OurAirports" 6219,"Lawas Airport","Lawas","Malaysia","LWY","WBGW",4.84917,115.407997,5,8,"N","Asia/Kuala_Lumpur","airport","OurAirports" 6220,"Bario Airport","Bario","Malaysia","BBN","WBGZ",3.7338900566101074,115.47899627685547,3350,8,"N","Asia/Kuala_Lumpur","airport","OurAirports" 6221,"Tomanggong Airport","Tomanggong","Malaysia","TMG","WBKM",5.40257,118.65763,26,8,"N","Asia/Kuala_Lumpur","airport","OurAirports" 6222,"Kudat Airport","Kudat","Malaysia","KUD","WBKT",6.922500133514404,116.83599853515625,10,8,"N","Asia/Kuala_Lumpur","airport","OurAirports" 6223,"Radin Inten II (Branti) Airport","Bandar Lampung-Sumatra Island","Indonesia","TKG","WIAT",-5.240556,105.175556,282,7,"N","Asia/Jakarta","airport","OurAirports" 6224,"Halim Perdanakusuma International Airport","Jakarta","Indonesia","HLP","WIHH",-6.266610145568848,106.89099884033203,84,7,"N","Asia/Jakarta","airport","OurAirports" 6225,"Ranai Airport","Ranai-Natuna Besar Island","Indonesia","NTX","WION",3.90871,108.388,7,7,"N","Asia/Jakarta","airport","OurAirports" 6226,"Pangsuma Airport","Putussibau-Borneo Island","Indonesia","PSU","WIOP",0.8355780243873596,112.93699645996094,297,7,"N","Asia/Jakarta","airport","OurAirports" 6227,"Sintang(Susilo) Airport","Sintang-Borneo Island","Indonesia","SQG","WIOS",0.06361900269985199,111.4729995727539,98,7,"N","Asia/Jakarta","airport","OurAirports" 6228,"Pendopo Airport","Talang Gudang-Sumatra Island","Indonesia","PDO","WIPQ",-3.2860701084136963,103.87999725341797,184,7,"N","Asia/Jakarta","airport","OurAirports" 6229,"Malikus Saleh Airport","Lhok Seumawe-Sumatra Island","Indonesia","LSW","WITM",5.226679801940918,96.95030212402344,90,7,"N","Asia/Jakarta","airport","OurAirports" 6230,"Pulau Pangkor Airport","Pangkor Island","Malaysia","PKG","WMPA",4.244719982147217,100.5530014038086,19,8,"N","Asia/Kuala_Lumpur","airport","OurAirports" 6232,"Long Bawan Airport","Long Bawan-Borneo Island","Indonesia","LBW","WRLB",3.9028,115.6921,3165,8,"N","Asia/Makassar","airport","OurAirports" 6233,"Nunukan Airport","Nunukan-Nunukan Island","Indonesia","NNX","WRLF",4.13333333333,117.666666667,30,8,"N","Asia/Makassar","airport","OurAirports" 6234,"Long Apung Airport","Long Apung-Borneo Island","Indonesia","LPU","WRLP",1.704486,114.970297,627,8,"N","Asia/Makassar","airport","OurAirports" 6235,"Albany Airport","Albany","Australia","ALH","YABA",-34.94329833984375,117.80899810791016,233,8,"O","Australia/Perth","airport","OurAirports" 6236,"Argyle Airport","Argyle","Australia","GYL","YARG",-16.6369,128.451004,522,8,"O","Australia/Perth","airport","OurAirports" 6237,"Aurukun Airport","Aurukun","Australia","AUU","YAUR",-13.354067,141.72065,31,10,"O","Australia/Brisbane","airport","OurAirports" 6238,"Barcaldine Airport","Barcaldine","Australia","BCI","YBAR",-23.5652999878,145.307006836,878,10,"O","Australia/Brisbane","airport","OurAirports" 6239,"Badu Island Airport","Badu Island","Australia","BDD","YBAU",-10.149999618499999,142.1734,14,10,"O","Australia/Brisbane","airport","OurAirports" 6240,"Birdsville Airport","Birdsville","Australia","BVI","YBDV",-25.897499084472656,139.34800720214844,159,10,"O","Australia/Brisbane","airport","OurAirports" 6241,"Broken Hill Airport","Broken Hill","Australia","BHQ","YBHI",-32.0013999939,141.472000122,958,9.5,"O","Australia/Adelaide","airport","OurAirports" 6242,"Hamilton Island Airport","Hamilton Island","Australia","HTI","YBHM",-20.3581008911,148.95199585,15,10,"O","Australia/Brisbane","airport","OurAirports" 6243,"Bedourie Airport","Bedourie","Australia","BEU","YBIE",-24.346099853515625,139.4600067138672,300,10,"O","Australia/Brisbane","airport","OurAirports" 6244,"Bourke Airport","Bourke","Australia","BRK","YBKE",-30.039199829101562,145.95199584960938,352,10,"O","Australia/Sydney","airport","OurAirports" 6245,"Burketown Airport","Burketown","Australia","BUC","YBKT",-17.748600006103516,139.53399658203125,21,10,"O","Australia/Brisbane","airport","OurAirports" 6246,"Boigu Airport","Boigu","Australia","GIC","YBOI",-9.23278045654,142.218002319,23,10,"O","Australia/Brisbane","airport","OurAirports" 6247,"Oakey Airport","Oakey","Australia","OKY","YBOK",-27.411399841308594,151.73500061035156,1335,10,"O","Australia/Brisbane","airport","OurAirports" 6248,"Boulia Airport","Boulia","Australia","BQL","YBOU",-22.913299560546875,139.89999389648438,542,10,"O","Australia/Brisbane","airport","OurAirports" 6249,"Bathurst Airport","Bathurst","Australia","BHS","YBTH",-33.4094009399,149.651992798,2435,10,"O","Australia/Sydney","airport","OurAirports" 6250,"Blackwater Airport","Blackwater","Australia","BLT","YBTR",-23.603099822998047,148.8070068359375,657,10,"O","Australia/Brisbane","airport","OurAirports" 6251,"Carnarvon Airport","Carnarvon","Australia","CVQ","YCAR",-24.880211,113.67174,13,8,"O","Australia/Perth","airport","OurAirports" 6252,"Cobar Airport","Cobar","Australia","CAZ","YCBA",-31.538299560546875,145.79400634765625,724,10,"O","Australia/Sydney","airport","OurAirports" 6253,"Coober Pedy Airport","Coober Pedy","Australia","CPD","YCBP",-29.040000915527344,134.7209930419922,740,9.5,"O","Australia/Adelaide","airport","OurAirports" 6254,"Coconut Island Airport","Coconut Island","Australia","CNC","YCCT",-10.050000190734863,143.07000732421875,3,10,"O","Australia/Brisbane","airport","OurAirports" 6255,"Cloncurry Airport","Cloncurry","Australia","CNJ","YCCY",-20.668600082399998,140.503997803,616,10,"O","Australia/Brisbane","airport","OurAirports" 6256,"Ceduna Airport","Ceduna","Australia","CED","YCDU",-32.13059997558594,133.7100067138672,77,9.5,"O","Australia/Adelaide","airport","OurAirports" 6257,"Cooktown Airport","Cooktown","Australia","CTN","YCKN",-15.444700241088867,145.1840057373047,26,10,"O","Australia/Brisbane","airport","OurAirports" 6258,"Cunnamulla Airport","Cunnamulla","Australia","CMA","YCMU",-28.030000686645508,145.6219940185547,630,10,"O","Australia/Brisbane","airport","OurAirports" 6259,"Coonamble Airport","Coonamble","Australia","CNB","YCNM",-30.983299255371094,148.37600708007812,604,10,"O","Australia/Sydney","airport","OurAirports" 6260,"Coen Airport","Coen","Australia","CUQ","YCOE",-13.761133,143.113311,532,10,"O","Australia/Brisbane","airport","OurAirports" 6261,"Cooma Snowy Mountains Airport","Cooma","Australia","OOM","YCOM",-36.3005981445,148.973999023,3088,10,"O","Australia/Sydney","airport","OurAirports" 6262,"Doomadgee Airport","Doomadgee","Australia","DMD","YDMG",-17.9403,138.822006,153,10,"O","Australia/Brisbane","airport","OurAirports" 6263,"Darnley Island Airport","Darnley Island","Australia","NLF","YDNI",-9.583330154418945,143.76699829101562,0,10,"O","Australia/Brisbane","airport","OurAirports" 6264,"Devonport Airport","Devonport","Australia","DPO","YDPO",-41.1697006226,146.429992676,33,10,"O","Australia/Melbourne","airport","OurAirports" 6265,"Elcho Island Airport","Elcho Island","Australia","ELC","YELD",-12.019399642899998,135.570999146,101,9.5,"O","Australia/Darwin","airport","OurAirports" 6266,"Esperance Airport","Esperance","Australia","EPR","YESP",-33.684399,121.822998,470,8,"O","Australia/Perth","airport","OurAirports" 6267,"Flinders Island Airport","Flinders Island","Australia","FLS","YFLI",-40.0917015076,147.992996216,10,10,"O","Australia/Melbourne","airport","OurAirports" 6268,"Geraldton Airport","Geraldton","Australia","GET","YGEL",-28.796101,114.707001,121,8,"O","Australia/Perth","airport","OurAirports" 6269,"Gladstone Airport","Gladstone","Australia","GLT","YGLA",-23.869699,151.223007,64,10,"O","Australia/Brisbane","airport","OurAirports" 6270,"Groote Eylandt Airport","Groote Eylandt","Australia","GTE","YGTE",-13.975000381500001,136.460006714,53,9.5,"O","Australia/Darwin","airport","OurAirports" 6271,"Griffith Airport","Griffith","Australia","GFF","YGTH",-34.2508010864,146.067001343,439,10,"O","Australia/Sydney","airport","OurAirports" 6272,"Horn Island Airport","Horn Island","Australia","HID","YHID",-10.586400032,142.289993286,43,10,"O","Australia/Brisbane","airport","OurAirports" 6273,"Hooker Creek Airport","Hooker Creek","Australia","HOK","YHOO",-18.3367004395,130.638000488,320,9.5,"O","Australia/Darwin","airport","OurAirports" 6274,"Mount Hotham Airport","Mount Hotham","Australia","MHU","YHOT",-37.0475006104,147.333999634,4260,10,"O","Australia/Hobart","airport","OurAirports" 6275,"Hughenden Airport","Hughenden","Australia","HGD","YHUG",-20.815000534057617,144.22500610351562,1043,10,"O","Australia/Brisbane","airport","OurAirports" 6276,"Julia Creek Airport","Julia Creek","Australia","JCK","YJLC",-20.66830062866211,141.72300720214844,404,10,"O","Australia/Brisbane","airport","OurAirports" 6277,"Kalbarri Airport","Kalbarri","Australia","KAX","YKBR",-27.692813,114.259169,157,8,"O","Australia/Perth","airport","OurAirports" 6278,"King Island Airport","King Island","Australia","KNS","YKII",-39.877498626708984,143.8780059814453,132,10,"O","Australia/Melbourne","airport","OurAirports" 6279,"Kalkgurung Airport","Kalkgurung","Australia","KFG","YKKG",-17.431900024414062,130.80799865722656,646,9.5,"O","Australia/Darwin","airport","OurAirports" 6280,"Karumba Airport","Karumba","Australia","KRB","YKMB",-17.45669937133789,140.8300018310547,5,10,"O","Australia/Brisbane","airport","OurAirports" 6281,"Kowanyama Airport","Kowanyama","Australia","KWM","YKOW",-15.485600471496582,141.75100708007812,35,10,"O","Australia/Brisbane","airport","OurAirports" 6282,"Kubin Airport","Kubin","Australia","KUG","YKUB",-10.225000381500001,142.218002319,15,10,"O","Australia/Brisbane","airport","OurAirports" 6283,"Leonora Airport","Leonora","Australia","LNO","YLEO",-28.87809944152832,121.31500244140625,1217,8,"O","Australia/Perth","airport","OurAirports" 6284,"Lake Evella Airport","Lake Evella","Australia","LEL","YLEV",-12.498900413513184,135.80599975585938,256,9.5,"O","Australia/Darwin","airport","OurAirports" 6285,"Lord Howe Island Airport","Lord Howe Island","Australia","LDH","YLHI",-31.5382995605,159.07699585,5,10.5,"O","Australia/Lord_Howe","airport","OurAirports" 6286,"Lockhart River Airport","Lockhart River","Australia","IRG","YLHR",-12.7869,143.304993,77,10,"O","Australia/Brisbane","airport","OurAirports" 6287,"Lismore Airport","Lismore","Australia","LSY","YLIS",-28.8302993774,153.259994507,35,10,"O","Australia/Sydney","airport","OurAirports" 6288,"Lightning Ridge Airport","Lightning Ridge","Australia","LHG","YLRD",-29.45669937133789,147.98399353027344,540,10,"O","Australia/Sydney","airport","OurAirports" 6289,"Longreach Airport","Longreach","Australia","LRE","YLRE",-23.4342002869,144.279998779,627,10,"O","Australia/Brisbane","airport","OurAirports" 6290,"Leinster Airport","Leinster","Australia","LER","YLST",-27.843299865722656,120.7030029296875,1631,8,"O","Australia/Perth","airport","OurAirports" 6291,"Laverton Airport","Laverton","Australia","LVO","YLTN",-28.61359977722168,122.42400360107422,1530,8,"O","Australia/Perth","airport","OurAirports" 6292,"Mabuiag Island Airport","Mabuiag Island","Australia","UBB","YMAA",-9.949999809265137,142.18299865722656,0,10,"O","Australia/Brisbane","airport","OurAirports" 6293,"Meekatharra Airport","Meekatharra","Australia","MKR","YMEK",-26.6117000579834,118.5479965209961,1713,8,"O","Australia/Perth","airport","OurAirports" 6294,"Merimbula Airport","Merimbula","Australia","MIM","YMER",-36.9085998535,149.901000977,7,10,"O","Australia/Sydney","airport","OurAirports" 6295,"Milingimbi Airport","Milingimbi","Australia","MGT","YMGB",-12.0944004059,134.893997192,53,9.5,"O","Australia/Darwin","airport","OurAirports" 6296,"Maningrida Airport","Maningrida","Australia","MNG","YMGD",-12.0560998917,134.23399353,123,9.5,"O","Australia/Darwin","airport","OurAirports" 6297,"McArthur River Mine Airport","McArthur River Mine","Australia","MCV","YMHU",-16.4424991608,136.083999634,131,9.5,"O","Australia/Darwin","airport","OurAirports" 6298,"Mildura Airport","Mildura","Australia","MQL","YMIA",-34.229198455799995,142.085998535,167,10,"O","Australia/Hobart","airport","OurAirports" 6299,"Mount Magnet Airport","Mount Magnet","Australia","MMG","YMOG",-28.116100311279297,117.84200286865234,1354,8,"O","Australia/Perth","airport","OurAirports" 6300,"Moree Airport","Moree","Australia","MRZ","YMOR",-29.498899459799997,149.845001221,701,10,"O","Australia/Sydney","airport","OurAirports" 6301,"Moranbah Airport","Moranbah","Australia","MOV","YMRB",-22.057800293,148.07699585,770,10,"O","Australia/Brisbane","airport","OurAirports" 6302,"Moruya Airport","Moruya","Australia","MYA","YMRY",-35.8978004456,150.143997192,14,10,"O","Australia/Sydney","airport","OurAirports" 6303,"Mount Gambier Airport","Mount Gambier","Australia","MGB","YMTG",-37.745601654052734,140.78500366210938,212,9.5,"O","Australia/Adelaide","airport","OurAirports" 6304,"Mornington Island Airport","Mornington Island","Australia","ONG","YMTI",-16.662500381469727,139.17799377441406,33,10,"O","Australia/Brisbane","airport","OurAirports" 6305,"Murray Island Airport","Murray Island","Australia","MYI","YMUI",-9.91666984558,144.054992676,300,10,"O","Australia/Brisbane","airport","OurAirports" 6306,"Maryborough Airport","Maryborough","Australia","MBH","YMYB",-25.5133,152.714996,38,10,"O","Australia/Brisbane","airport","OurAirports" 6307,"Narrandera Airport","Narrandera","Australia","NRA","YNAR",-34.7022018433,146.511993408,474,10,"O","Australia/Sydney","airport","OurAirports" 6308,"Narrabri Airport","Narrabri","Australia","NAA","YNBR",-30.3192005157,149.82699585,788,10,"O","Australia/Sydney","airport","OurAirports" 6309,"Normanton Airport","Normanton","Australia","NTN","YNTN",-17.68409,141.069664,73,10,"O","Australia/Brisbane","airport","OurAirports" 6310,"Newman Airport","Newman","Australia","ZNE","YNWN",-23.417800903299998,119.803001404,1724,8,"O","Australia/Perth","airport","OurAirports" 6311,"Olympic Dam Airport","Olympic Dam","Australia","OLP","YOLD",-30.485000610399997,136.876998901,343,9.5,"O","Australia/Adelaide","airport","OurAirports" 6312,"Port Augusta Airport","Argyle","Australia","PUG","YPAG",-32.506900787353516,137.7169952392578,56,9.5,"O","Australia/Adelaide","airport","OurAirports" 6313,"Palm Island Airport","Palm Island","Australia","PMK","YPAM",-18.755300521850586,146.58099365234375,28,10,"O","Australia/Brisbane","airport","OurAirports" 6314,"Paraburdoo Airport","Paraburdoo","Australia","PBO","YPBO",-23.1711006165,117.745002747,1406,8,"O","Australia/Perth","airport","OurAirports" 6315,"Cocos (Keeling) Islands Airport","Cocos Keeling Island","Cocos (Keeling) Islands","CCK","YPCC",-12.1883001328,96.8339004517,10,6.5,"U","Indian/Cocos","airport","OurAirports" 6316,"Gove Airport","Gove","Australia","GOV","YPGV",-12.269399642899998,136.817993164,192,9.5,"O","Australia/Darwin","airport","OurAirports" 6317,"Parkes Airport","Parkes","Australia","PKE","YPKS",-33.131401062,148.238998413,1069,10,"O","Australia/Sydney","airport","OurAirports" 6318,"Port Lincoln Airport","Port Lincoln","Australia","PLO","YPLC",-34.6053009033,135.880004883,36,9.5,"O","Australia/Adelaide","airport","OurAirports" 6319,"Pormpuraaw Airport","Pormpuraaw","Australia","EDR","YPMP",-14.896451,141.60908,10,10,"O","Australia/Brisbane","airport","OurAirports" 6320,"Port Macquarie Airport","Port Macquarie","Australia","PQQ","YPMQ",-31.4358005524,152.863006592,12,10,"O","Australia/Sydney","airport","OurAirports" 6321,"Portland Airport","Portland","Australia","PTJ","YPOD",-38.31809997558594,141.4709930419922,265,10,"O","Australia/Hobart","airport","OurAirports" 6322,"Quilpie Airport","Quilpie","Australia","ULP","YQLP",-26.612199783325195,144.2530059814453,655,10,"O","Australia/Brisbane","airport","OurAirports" 6323,"Ramingining Airport","Ramingining","Australia","RAM","YRNG",-12.356399536132812,134.8979949951172,206,9.5,"O","Australia/Darwin","airport","OurAirports" 6324,"Roma Airport","Roma","Australia","RMA","YROM",-26.545000076300003,148.774993896,1032,10,"O","Australia/Brisbane","airport","OurAirports" 6325,"St George Airport","St George","Australia","SGO","YSGE",-28.049699783325195,148.59500122070312,656,10,"O","Australia/Brisbane","airport","OurAirports" 6326,"Shark Bay Airport","Shark Bay","Australia","MJK","YSHK",-25.8938999176,113.577003479,111,8,"O","Australia/Perth","airport","OurAirports" 6327,"Saibai Island Airport","Saibai Island","Australia","SBR","YSII",-9.378330230710002,142.625,15,10,"O","Australia/Brisbane","airport","OurAirports" 6328,"Strahan Airport","Strahan","Australia","SRN","YSRN",-42.154998779296875,145.29200744628906,20,10,"O","Australia/Melbourne","airport","OurAirports" 6329,"Thargomindah Airport","Thargomindah","Australia","XTG","YTGM",-27.986400604248047,143.81100463867188,433,10,"O","Australia/Brisbane","airport","OurAirports" 6330,"Tennant Creek Airport","Tennant Creek","Australia","TCA","YTNK",-19.6343994140625,134.18299865722656,1236,9.5,"O","Australia/Darwin","airport","OurAirports" 6331,"Victoria River Downs Airport","Victoria River Downs","Australia","VCD","YVRD",-16.402124404907227,131.00497436523438,89,9.5,"O","Australia/Darwin","airport","OurAirports" 6332,"Warraber Island Airport","Sue Islet","Australia","SYU","YWBS",-10.20829963684082,142.8249969482422,3,10,"O","Australia/Brisbane","airport","OurAirports" 6333,"Windorah Airport","Windorah","Australia","WNR","YWDH",-25.41309928894043,142.66700744628906,452,10,"O","Australia/Brisbane","airport","OurAirports" 6334,"Whyalla Airport","Whyalla","Australia","WYA","YWHA",-33.05889892578125,137.51400756835938,41,9.5,"O","Australia/Adelaide","airport","OurAirports" 6335,"Wiluna Airport","Wiluna","Australia","WUN","YWLU",-26.629199981689453,120.22100067138672,1649,8,"O","Australia/Perth","airport","OurAirports" 6336,"Wollongong Airport","Wollongong","Australia","WOL","YWOL",-34.561100006103516,150.78900146484375,31,10,"O","Australia/Sydney","airport","OurAirports" 6337,"Winton Airport","Winton","Australia","WIN","YWTN",-22.36359977722168,143.08599853515625,638,10,"O","Australia/Brisbane","airport","OurAirports" 6338,"Wynyard Airport","Burnie","Australia","BWT","YWYY",-40.9989013671875,145.7310028076172,62,10,"O","Australia/Melbourne","airport","OurAirports" 6339,"Yorke Island Airport","Yorke Island","Australia","OKR","YYKI",-9.752801,143.405673,10,10,"O","Australia/Brisbane","airport","OurAirports" 6340,"Yam Island Airport","Yam Island","Australia","XMY","YYMI",-9.90110969543457,142.7760009765625,0,10,"O","Australia/Brisbane","airport","OurAirports" 6341,"Beijing Nanyuan Airport","Beijing","China","NAY","ZBNY",39.782798767089844,116.38800048828125,0,8,"U","Asia/Shanghai","airport","OurAirports" 6342,"Chifeng Airport","Chifeng","China","CIF","ZBCF",42.23500061035156,118.90799713134766,0,8,"U","Asia/Shanghai","airport","OurAirports" 6343,"Changzhi Airport","Changzhi","China","CIH","ZBCZ",36.247501,113.125999,0,8,"U","Asia/Shanghai","airport","OurAirports" 6344,"Datong Airport","Datong","China","DAT","ZBDT",40.060299,113.482002,3442,8,"U","Asia/Shanghai","airport","OurAirports" 6345,"Baita International Airport","Hohhot","China","HET","ZBHH",40.851398,111.823997,3556,8,"U","Asia/Shanghai","airport","OurAirports" 6346,"Baotou Airport","Baotou","China","BAV","ZBOW",40.560001373291016,109.99700164794922,3321,8,"U","Asia/Shanghai","airport","OurAirports" 6347,"Shijiazhuang Daguocun International Airport","Shijiazhuang","China","SJW","ZBSJ",38.28070068359375,114.6969985961914,233,8,"U","Asia/Shanghai","airport","OurAirports" 6348,"Tongliao Airport","Tongliao","China","TGO","ZBTL",43.556702,122.199997,2395,8,"U","Asia/Shanghai","airport","OurAirports" 6349,"Ulanhot Airport","Ulanhot","China","HLH","ZBUL",46.195333,122.008333,0,8,"U","Asia/Shanghai","airport","OurAirports" 6350,"Xilinhot Airport","Xilinhot","China","XIL","ZBXH",43.91559982299805,115.96399688720703,0,8,"U","Asia/Shanghai","airport","OurAirports" 6351,"Beihai Airport","Beihai","China","BHY","ZGBH",21.5394,109.293999,0,8,"U","Asia/Shanghai","airport","OurAirports" 6352,"Changde Airport","Changde","China","CGD","ZGCD",28.9188995361,111.63999939,128,8,"U","Asia/Shanghai","airport","OurAirports" 6353,"Dayong Airport","Dayong","China","DYG","ZGDY",29.1028,110.443001,692,8,"U","Asia/Shanghai","airport","OurAirports" 6354,"Meixian Airport","Meixian","China","MXZ","ZGMX",24.350000381469727,116.13300323486328,0,8,"U","Asia/Shanghai","airport","OurAirports" 6355,"Zhuhai Jinwan Airport","Zhuhai","China","ZUH","ZGSD",22.006399,113.375999,23,8,"U","Asia/Shanghai","airport","OurAirports" 6356,"Liuzhou Bailian Airport","Liuzhou","China","LZH","ZGZH",24.2075,109.390999,295,8,"U","Asia/Shanghai","airport","OurAirports" 6357,"Zhanjiang Airport","Zhanjiang","China","ZHA","ZGZJ",21.214399,110.358002,125,8,"U","Asia/Shanghai","airport","OurAirports" 6358,"Enshi Airport","Enshi","China","ENH","ZHES",30.3202991486,109.48500061,1605,8,"U","Asia/Shanghai","airport","OurAirports" 6359,"Nanyang Jiangying Airport","Nanyang","China","NNY","ZHNY",32.980801,112.614998,840,8,"U","Asia/Shanghai","airport","OurAirports" 6360,"Xiangyang Liuji Airport","Xiangfan","China","XFN","ZHXF",32.1506,112.291,0,8,"U","Asia/Shanghai","airport","OurAirports" 6361,"Yichang Sanxia Airport","Yichang","China","YIH","ZHYC",30.55655,111.479988,673,8,"U","Asia/Shanghai","airport","OurAirports" 6362,"Ankang Wulipu Airport","Ankang","China","AKA","ZLAK",32.708099,108.931,860,8,"U","Asia/Shanghai","airport","OurAirports" 6363,"Golmud Airport","Golmud","China","GOQ","ZLGM",36.4006,94.786102,9334,8,"U","Asia/Shanghai","airport","OurAirports" 6364,"Hanzhong Chenggu Airport","Hanzhong","China","HZG","ZLHZ",33.134136,107.206014,0,8,"U","Asia/Shanghai","airport","OurAirports" 6365,"Qingyang Airport","Qingyang","China","IQN","ZLQY",35.799702,107.602997,0,8,"U","Asia/Shanghai","airport","OurAirports" 6366,"Xining Caojiabu Airport","Xining","China","XNN","ZLXN",36.5275,102.042999,7119,8,"U","Asia/Shanghai","airport","OurAirports" 6367,"Yan'an Ershilipu Airport","Yan'an","China","ENY","ZLYA",36.636902,109.554001,3100,8,"U","Asia/Shanghai","airport","OurAirports" 6368,"Yulin Yuyang Airport","Yulin","China","UYN","ZLYL",38.35971,109.590927,0,8,"U","Asia/Shanghai","airport","OurAirports" 6369,"Arvaikheer Airport","Arvaikheer","Mongolia","AVK","ZMAH",46.250301361083984,102.802001953125,5932,8,"U","Asia/Ulaanbaatar","airport","OurAirports" 6370,"Altai Airport","Altai","Mongolia","LTI","ZMAT",46.376399993896484,96.22109985351562,7260,8,"U","Asia/Ulaanbaatar","airport","OurAirports" 6371,"Bayankhongor Airport","Bayankhongor","Mongolia","BYN","ZMBH",46.163299560546875,100.7040023803711,6085,8,"U","Asia/Ulaanbaatar","airport","OurAirports" 6372,"Dalanzadgad Airport","Dalanzadgad","Mongolia","DLZ","ZMDZ",43.59170150756836,104.43000030517578,4787,8,"U","Asia/Ulaanbaatar","airport","OurAirports" 6373,"Khovd Airport","Khovd","Mongolia","HVD","ZMKD",47.9541015625,91.6281967163086,4898,7,"U","Asia/Hovd","airport","OurAirports" 6374,"Mörön Airport","Muren","Mongolia","MXV","ZMMN",49.663299560546875,100.0989990234375,4272,8,"U","Asia/Ulaanbaatar","airport","OurAirports" 6375,"Diqing Airport","Shangri-La","China","DIG","ZPDQ",27.7936,99.6772,10761,8,"U","Asia/Shanghai","airport","OurAirports" 6376,"Mangshi Airport","Luxi","China","LUM","ZPLX",24.4011,98.5317,2890,8,"U","Asia/Shanghai","airport","OurAirports" 6377,"Pu'er Simao Airport","Simao","China","SYM","ZPSM",22.793301,100.959,0,8,"U","Asia/Shanghai","airport","OurAirports" 6378,"Zhaotong Airport","Zhaotong","China","ZAT","ZPZT",27.325599670410156,103.75499725341797,0,8,"U","Asia/Shanghai","airport","OurAirports" 6379,"Ganzhou Airport","Ganzhou","China","KOW","ZSGZ",25.853333,114.778889,387,8,"U","Asia/Shanghai","airport","OurAirports" 6380,"Jingdezhen Airport","Jingdezhen","China","JDZ","ZSJD",29.3386001587,117.176002502,112,8,"U","Asia/Shanghai","airport","OurAirports" 6381,"Jiujiang Lushan Airport","Jiujiang","China","JIU","ZSJJ",29.476944,115.801111,0,8,"U","Asia/Shanghai","airport","OurAirports" 6382,"Quzhou Airport","Quzhou","China","JUZ","ZSJU",28.965799,118.899002,0,8,"U","Asia/Shanghai","airport","OurAirports" 6383,"Lianyungang Airport","Lianyungang","China","LYG","ZSLG",34.571667,118.873611,0,8,"U","Asia/Shanghai","airport","OurAirports" 6384,"Huangyan Luqiao Airport","Huangyan","China","HYN","ZSLQ",28.56220054626465,121.42900085449219,0,8,"U","Asia/Shanghai","airport","OurAirports" 6385,"Shubuling Airport","Linyi","China","LYI","ZSLY",35.04610061645508,118.41200256347656,0,8,"U","Asia/Shanghai","airport","OurAirports" 6386,"Quanzhou Jinjiang International Airport","Quanzhou","China","JJN","ZSQZ",24.7964,118.589996,0,8,"U","Asia/Shanghai","airport","OurAirports" 6387,"Tunxi International Airport","Huangshan","China","TXN","ZSTX",29.733299255371094,118.25599670410156,0,8,"U","Asia/Shanghai","airport","OurAirports" 6388,"Weifang Airport","Weifang","China","WEF","ZSWF",36.646702,119.119003,0,8,"U","Asia/Shanghai","airport","OurAirports" 6389,"Weihai Airport","Weihai","China","WEH","ZSWH",37.18709945678711,122.22899627685547,145,8,"U","Asia/Shanghai","airport","OurAirports" 6390,"Sunan Shuofang International Airport","Wuxi","China","WUX","ZSWX",31.494400024399997,120.429000854,24,8,"U","Asia/Shanghai","airport","OurAirports" 6391,"Nanping Wuyishan Airport","Wuyishan","China","WUS","ZSWY",27.7019,118.000999,614,8,"U","Asia/Shanghai","airport","OurAirports" 6392,"Wenzhou Longwan International Airport","Wenzhou","China","WNZ","ZSWZ",27.912201,120.851997,0,8,"U","Asia/Shanghai","airport","OurAirports" 6393,"Yancheng Airport","Yancheng","China","YNZ","ZSYN",33.425833,120.203056,0,8,"U","Asia/Shanghai","airport","OurAirports" 6394,"Yiwu Airport","Yiwu","China","YIW","ZSYW",29.3446998596,120.031997681,262,8,"U","Asia/Shanghai","airport","OurAirports" 6395,"Zhoushan Airport","Zhoushan","China","HSN","ZSZS",29.9342002869,122.361999512,3,8,"U","Asia/Shanghai","airport","OurAirports" 6396,"Qamdo Bangda Airport","Bangda","China","BPX","ZUBD",30.553600311279297,97.1082992553711,14219,8,"U","Asia/Shanghai","airport","OurAirports" 6397,"Dachuan Airport","Dazhou","China","DAX","ZUDX",31.1302,107.4295,0,8,"U","Asia/Shanghai","airport","OurAirports" 6398,"Guangyuan Airport","Guangyuan","China","GYS","ZUGU",32.3911018371582,105.7020034790039,0,8,"U","Asia/Shanghai","airport","OurAirports" 6399,"Luzhou Airport","Luzhou","China","LZO","ZULZ",28.85219955444336,105.39299774169922,0,8,"U","Asia/Shanghai","airport","OurAirports" 6400,"Mianyang Airport","Mianyang","China","MIG","ZUMY",31.4281005859375,104.74099731445312,0,8,"U","Asia/Shanghai","airport","OurAirports" 6401,"Nanchong Airport","Nanchong","China","NAO","ZUNC",30.79545,106.1626,0,8,"U","Asia/Shanghai","airport","OurAirports" 6402,"Nyingchi Airport","Nyingchi","China","LZY","ZUNZ",29.303300857543945,94.33529663085938,9675,8,"U","Asia/Shanghai","airport","OurAirports" 6403,"Wanxian Airport","Wanxian","China","WXN","ZUWX",30.8017,108.433,0,8,"U","Asia/Shanghai","airport","OurAirports" 6404,"Aksu Airport","Aksu","China","AKU","ZWAK",41.262501,80.291702,3816,8,"U","Asia/Shanghai","airport","OurAirports" 6405,"Qiemo Yudu Airport","Qiemo","China","IQM","ZWCM",38.233611,85.465556,0,8,"U","Asia/Shanghai","airport","OurAirports" 6406,"Kuqa Airport","Kuqa","China","KCA","ZWKC",41.677856,82.872917,3524,8,"U","Asia/Shanghai","airport","OurAirports" 6407,"Korla Airport","Korla","China","KRL","ZWKL",41.69779968261719,86.12889862060547,0,8,"U","Asia/Shanghai","airport","OurAirports" 6408,"Karamay Airport","Karamay","China","KRY","ZWKM",45.46655,84.9527,0,8,"U","Asia/Shanghai","airport","OurAirports" 6409,"Yining Airport","Yining","China","YIN","ZWYN",43.955799,81.330299,0,8,"U","Asia/Shanghai","airport","OurAirports" 6410,"Heihe Airport","Heihe","China","HEK","ZYHE",50.1716209371,127.308883667,8530,8,"U","Asia/Shanghai","airport","OurAirports" 6411,"Jiamusi Airport","Jiamusi","China","JMU","ZYJM",46.84339904789999,130.464996338,262,8,"U","Asia/Shanghai","airport","OurAirports" 6412,"Jinzhou Airport","Jinzhou","China","JNZ","ZYJZ",41.10139846801758,121.06199645996094,0,8,"U","Asia/Shanghai","airport","OurAirports" 6413,"Qiqihar Sanjiazi Airport","Qiqihar","China","NDG","ZYQQ",47.239601135253906,123.91799926757812,477,8,"U","Asia/Shanghai","airport","OurAirports" 6414,"Yanji Chaoyangchuan Airport","Yanji","China","YNJ","ZYYJ",42.8828010559,129.451004028,624,8,"U","Asia/Shanghai","airport","OurAirports" 6415,"Waikoloa Heliport","Waikoloa Village","United States","WKL","HI07",19.9205,-155.8607,119,-10,"N","Pacific/Honolulu","airport","OurAirports" 6419,"Mount Keith Airport","Mount Keith","Australia","WME","YMNE",-27.286399841308594,120.55500030517578,1792,8,"O","Australia/Perth","airport","OurAirports" 6420,"Los Roques Airport","Los Roques","Venezuela","LRV","SVRS",11.9499998093,-66.66999816890001,17,-4,"S","America/Caracas","airport","OurAirports" 6421,"Inishmore Aerodrome","Inis Mor","Ireland","IOR","EIIM",53.1067008972168,-9.653610229492188,24,0,"U","Europe/Dublin","airport","OurAirports" 6422,"Connemara Regional Airport","Indreabhan","Ireland","NNR","EICA",53.23030090332031,-9.467780113220215,70,0,"U","Europe/Dublin","airport","OurAirports" 6423,"Rügen Airport","Ruegen","Germany","GTI","EDCG",54.3833312988,13.3255558014,69,1,"U","Europe/Berlin","airport","OurAirports" 6424,"Berezovo Airport","Berezovo","Russia","EZV","USHB",63.92100143432617,65.03050231933594,98,5,"N","Asia/Yekaterinburg","airport","OurAirports" 6425,"Szczecin-DÄ…bie Airport","Szczecin","Poland",\N,"EPSD",53.3921012878418,14.63379955291748,3,1,"E","Europe/Warsaw","airport","OurAirports" 6426,"Worcester Regional Airport","Worcester","United States","ORH","KORH",42.26729965209961,-71.87570190429688,1009,-5,"A","America/New_York","airport","OurAirports" 6427,"Anqing Tianzhushan Airport","Anqing","China","AQG","ZSAQ",30.582199,117.050003,0,8,"N","Asia/Shanghai","airport","OurAirports" 6429,"Shanhaiguan Airport","Qinhuangdao","China","SHP","ZBSH",39.968102,119.731003,30,8,"N","Asia/Shanghai","airport","OurAirports" 6430,"Yuncheng Guangong Airport","Yuncheng","China","YCU","ZBYC",35.116391,111.031388889,1242,8,"N","Asia/Shanghai","airport","OurAirports" 6431,"Lanzhou City Airport","Lanzhou","China",\N,"ZLAN",36.033333,103.86667,5040,8,"N","Asia/Shanghai","airport","OurAirports" 6432,"Jiayuguan Airport","Jiayuguan","China","JGN","ZLJQ",39.856899,98.3414,5112,8,"N","Asia/Shanghai","airport","OurAirports" 6433,"Dandong Airport","Dandong","China","DDG","ZYDD",40.0247,124.286003,30,8,"N","Asia/Shanghai","airport","OurAirports" 6434,"Ordos Ejin Horo Airport","Dongsheng","China","DSN","ZBDS",39.49,109.861388889,4557,8,"N","Asia/Shanghai","airport","OurAirports" 6435,"Bao'anying Airport","Panzhihua","China","PZI","ZUZH",26.54,101.79852,1620,8,"N","Asia/Shanghai","airport","OurAirports" 6445,"Bremerton National Airport","Bremerton","United States","PWT","KPWT",47.490200042725,-122.76499938965,444,-8,"A","America/Los_Angeles","airport","OurAirports" 6446,"Spencer Municipal Airport","Spencer","United States","SPW","KSPW",43.165500640869,-95.202796936035,1339,-6,"A","America/Chicago","airport","OurAirports" 6447,"Jefferson City Memorial Airport","Jefferson City","United States","JEF","KJEF",38.5912017822,-92.15609741210001,549,-6,"A","America/Chicago","airport","OurAirports" 6450,"Tannheim Airfield","Tannheim","Germany",\N,"EDMT",48.009998,10.098611,1903,1,"E","Europe/Berlin","airport","OurAirports" 6454,"Unst Airport","Unst","United Kingdom","UNT","EGPW",60.74720001220703,-0.8538500070571899,0,0,"E","Europe/London","airport","OurAirports" 6455,"Berkley Structures Heliport","Pagerungan","Indonesia",\N,"WA19",47.682043,-122.148456,50,-8,"N","America/Los_Angeles","airport","OurAirports" 6456,"Provincetown Municipal Airport","Provincetown","United States","PVC","KPVC",42.0718994141,-70.2213973999,9,-5,"A","America/New_York","airport","OurAirports" 6458,"Anduki Airport","Seria","Brunei",\N,"WBAK",4.637000083920001,114.382003784,7,8,"N","Asia/Brunei","airport","OurAirports" 6460,"Gustaf III Airport","Gustavia","France","SBH","TFFJ",17.904399871826172,-62.84360122680664,49,-4,"E",\N,"airport","OurAirports" 6464,"Kostroma Sokerkino Airport","Kostroma","Russia","KMW","UUBA",57.7969017029,41.019401550299996,446,3,"N","Europe/Moscow","airport","OurAirports" 6465,"Sukhumi Dranda Airport","Sukhumi","Georgia","SUI","UGSS",42.8582000732,41.128101348899996,53,4,"N","Asia/Tbilisi","airport","OurAirports" 6466,"Donskoye Airport","Tambow","Russia","TBW","UUOT",52.806098937988,41.482799530029,413,3,"N","Europe/Moscow","airport","OurAirports" 6467,"Oban Airport","North Connel","United Kingdom","OBN","EGEO",56.4635009765625,-5.399670124053955,20,0,"E","Europe/London","airport","OurAirports" 6477,"Erechim Airport","Erechim","Brazil","ERM","SSER",-27.66189956665039,-52.2682991027832,2498,-3,"S","America/Sao_Paulo","airport","OurAirports" 6478,"La Côte Airport","Prangins","Switzerland",\N,"LSGP",46.40639877319336,6.258059978485107,1352,1,"E","Europe/Zurich","airport","OurAirports" 6479,"Courchevel Airport","Courcheval","France","CVF","LFLJ",45.39670181274414,6.6347198486328125,6588,1,"E","Europe/Paris","airport","OurAirports" 6481,"Fullerton Municipal Airport","Fullerton","United States","FUL","KFUL",33.8720016479,-117.980003357,96,-8,"A","America/Los_Angeles","airport","OurAirports" 6482,"Concord-Padgett Regional Airport","Concord","United States","USA","KJQF",35.387798,-80.709099,705,-5,"A","America/New_York","airport","OurAirports" 6483,"Isle of Wight / Sandown Airport","Isle Of Wight","United Kingdom",\N,"EGHN",50.653099,-1.18221998,55,0,"E","Europe/London","airport","OurAirports" 6485,"Navoi Airport","Navoi","Uzbekistan","NVI","UTSA",40.1171989440918,65.1707992553711,0,5,"E","Asia/Samarkand","airport","OurAirports" 6487,"Andernos Les Bains Airport","Andernos-Les-Bains","France",\N,"LFCD",44.7561,-1.06333,66,1,"E","Europe/Paris","airport","OurAirports" 6489,"Bienenfarm Airport","Nauen","Germany",\N,"EDOI",52.661667,12.745833,120,1,"E","Europe/Berlin","airport","OurAirports" 6492,"Ain Arnat Airport","Setif","Algeria","QSF","DAAS",36.178100585900005,5.3244900703399995,3360,1,"U","Africa/Algiers","airport","OurAirports" 6493,"La Rochelle-ÃŽle de Ré Airport","La Rochelle","France","LRH","LFBH",46.17919921875,-1.1952799558639526,74,1,"E","Europe/Paris","airport","OurAirports" 6494,"Friedman Memorial Airport","Hailey","United States","SUN","KSUN",43.50439835,-114.2959976,5318,-7,"A","America/Denver","airport","OurAirports" 6497,"Yverdon-les-Bains Airport","Yverdon-Les-Bains","Switzerland",\N,"LSGY",46.7619018555,6.61332988739,1421,1,"E","Europe/Zurich","airport","OurAirports" 6499,"Bielsko Biala Airport","Bielsko-Biala","Poland",\N,"EPBA",49.80500030517578,19.00189971923828,1319,1,"E","Europe/Warsaw","airport","OurAirports" 6500,"Mason City Municipal Airport","Mason City","United States","MCW","KMCW",43.157798767100005,-93.3312988281,1213,-6,"A","America/Chicago","airport","OurAirports" 6505,"Phoenix-Mesa-Gateway Airport","Mesa","United States","AZA","KIWA",33.30780029,-111.6549988,1382,-7,"N","America/Phoenix","airport","OurAirports" 6506,"Saúl Airport","Saul","French Guiana","XAU","SOOS",3.61361,-53.204201,656,-3,"U","America/Cayenne","airport","OurAirports" 6511,"Tekapo Aerodrome","Lake Tekapo","New Zealand",\N,"NZTL",-44.0052986145,170.444000244,2496,12,"Z","Pacific/Auckland","airport","OurAirports" 6519,"Niederoeblarn Airport","Niederoeblarn","Austria",\N,"LOGO",47.478298,14.0083,2142,1,"E","Europe/Vienna","airport","OurAirports" 6520,"Vöslau Airport","Bad Voeslau","Austria",\N,"LOAV",47.96500015258789,16.260000228881836,765,1,"E","Europe/Vienna","airport","OurAirports" 6522,"Uetersen/Heist Airport","Uetersen","Germany",\N,"EDHE",53.64638900756836,9.704167366027832,23,1,"E","Europe/Berlin","airport","OurAirports" 6712,"Anaktuvuk Pass Airport","Anaktuvuk Pass","United States","AKP","PAKP",68.13359833,-151.7429962,2102,-9,"A","America/Anchorage","airport","OurAirports" 6713,"Anvik Airport","Anvik","United States","ANV","PANV",62.646702,-160.190994,291,-9,"A","America/Anchorage","airport","OurAirports" 6714,"Atqasuk Edward Burnell Sr Memorial Airport","Atqasuk","United States","ATK","PATQ",70.46730041503906,-157.43600463867188,96,-9,"A","America/Anchorage","airport","OurAirports" 6715,"Gambell Airport","Gambell","United States","GAM","PAGM",63.76679992675781,-171.73300170898438,27,-9,"A","America/Anchorage","airport","OurAirports" 6716,"Hooper Bay Airport","Hooper Bay","United States","HPB","PAHP",61.52389908,-166.1470032,13,-9,"A","America/Anchorage","airport","OurAirports" 6717,"Kaltag Airport","Kaltag","United States","KAL","PAKV",64.31909943,-158.7409973,181,-9,"A","America/Anchorage","airport","OurAirports" 6718,"St Mary's Airport","St Mary's","United States","KSM","PASM",62.0605011,-163.302002,312,-9,"A","America/Anchorage","airport","OurAirports" 6719,"Kivalina Airport","Kivalina","United States","KVL","PAVL",67.73619842529297,-164.56300354003906,13,-9,"A","America/Anchorage","airport","OurAirports" 6720,"Mekoryuk Airport","Mekoryuk","United States","MYU","PAMY",60.37139892578125,-166.27099609375,48,-9,"A","America/Anchorage","airport","OurAirports" 6722,"Ruby Airport","Ruby","United States","RBY","PARY",64.72720337,-155.4700012,658,-9,"A","America/Anchorage","airport","OurAirports" 6723,"Shishmaref Airport","Shishmaref","United States","SHH","PASH",66.249604,-166.089112,12,-9,"A","America/Anchorage","airport","OurAirports" 6724,"Savoonga Airport","Savoonga","United States","SVA","PASA",63.6864013671875,-170.4929962158203,53,-9,"A","America/Anchorage","airport","OurAirports" 6725,"Noatak Airport","Noatak","United States","WTK","PAWN",67.56610107421875,-162.97500610351562,88,-9,"A","America/Anchorage","airport","OurAirports" 6726,"Ormoc Airport","Ormoc City","Philippines","OMC","RPVO",11.057999610900879,124.56500244140625,83,8,"N","Asia/Manila","airport","OurAirports" 6727,"Puvirnituq Airport","Puvirnituq","Canada","YPX","CYPX",60.05059814453125,-77.28690338134766,74,-5,"A","America/Toronto","airport","OurAirports" 6728,"Tasiujaq Airport","Tasiujaq","Canada","YTQ","CYTQ",58.66780090332031,-69.95580291748047,122,-5,"A","America/Toronto","airport","OurAirports" 6729,"Arctic Village Airport","Arctic Village","United States","ARC","PARC",68.1147,-145.578995,2092,-9,"A","America/Anchorage","airport","OurAirports" 6730,"Sam Mbakwe International Airport","Imo","Nigeria","QOW","DNIM",5.427060127258301,7.206029891967773,373,1,"N","Africa/Lagos","airport","OurAirports" 6731,"Arenal Airport","La Fortuna/San Carlos","Costa Rica","FON","MRAN",10.478,-84.634499,342,-6,"U","America/Costa_Rica","airport","OurAirports" 6732,"Tambor Airport","Nicoya","Costa Rica","TMU","MRTR",9.73852,-85.013802,33,-6,"U","America/Costa_Rica","airport","OurAirports" 6733,"Cauayan Airport","Cauayan","Philippines","CYZ","RPUY",16.9298992157,121.752998352,200,8,"N","Asia/Manila","airport","OurAirports" 6734,"Kirovsk-Apatity Airport","Apatity","Russia","KVK","ULMK",67.46330261230469,33.58829879760742,515,3,"N","Europe/Moscow","airport","OurAirports" 6735,"Coronel Altino Machado de Oliveira Airport","Governador Valadares","Brazil","GVR","SBGV",-18.89520072937,-41.982200622559,561,-3,"S","America/Sao_Paulo","airport","OurAirports" 6736,"Port Clarence Coast Guard Station","Port Clarence","United States","KPC","PAPC",65.2537002563,-166.85899353,10,-9,"A","America/Anchorage","airport","OurAirports" 6737,"Pajala Airport","Pajala","Sweden","PJA","ESUP",67.24559783935547,23.068899154663086,542,1,"E","Europe/Stockholm","airport","OurAirports" 6738,"Bella Coola Airport","Bella Coola","Canada","QBC","CYBD",52.387501,-126.596001,117,-8,"A","America/Vancouver","airport","OurAirports" 6739,"Hagerstown Regional Richard A Henson Field","Hagerstown","United States","HGR","KHGR",39.707901,-77.72949982,703,-5,"A","America/New_York","airport","OurAirports" 6740,"Araracuara Airport","Araracuara","Colombia","ACR","SKAC",-0.5833,-72.4083,1250,-5,"U","America/Bogota","airport","OurAirports" 6741,"Gorakhpur Airport","Gorakhpur","India","GOP","VEGK",26.739700317399997,83.4496994019,259,5.5,"N","Asia/Calcutta","airport","OurAirports" 6742,"Sand Point Airport","Sand Point","United States","SDP","PASD",55.314998626708984,-160.5229949951172,21,-9,"A","America/Anchorage","airport","OurAirports" 6743,"Hami Airport","Hami","China","HMI","ZWHM",42.8414,93.669197,2703,8,"U","Asia/Shanghai","airport","OurAirports" 6744,"Wuzhou Changzhoudao Airport","Wuzhou","China","WUZ","ZGWZ",23.456699,111.248001,89,8,"U","Asia/Shanghai","airport","OurAirports" 6745,"Tugdan Airport","Romblon","Philippines","TBH","RPVU",12.3109998703,122.084999084,10,8,"N","Asia/Manila","airport","OurAirports" 6746,"Sahand Airport","Maragheh","Iran","ACP","OITM",37.347999572753906,46.127899169921875,4396,3.5,"E","Asia/Tehran","airport","OurAirports" 6747,"Gorgan Airport","Gorgan","Iran","GBT","OING",36.909400939899996,54.4012985229,-24,3.5,"E","Asia/Tehran","airport","OurAirports" 6748,"Ilam Airport","Ilam","Iran","IIL","OICI",33.58660125732422,46.40480041503906,4404,3.5,"E","Asia/Tehran","airport","OurAirports" 6749,"Parsabade Moghan Airport","Parsabad","Iran","PFQ","OITP",39.60359954834,47.881500244141,251,3.5,"E","Asia/Tehran","airport","OurAirports" 6751,"Tocache Airport","Tocache","Peru",\N,"SPCH",-8.1829996109,-76.516998291,1500,-5,"U","America/Lima","airport","OurAirports" 6752,"Tacheng Airport","Tacheng","China","TCG","ZWTC",46.67250061035156,83.3407974243164,0,8,"U","Asia/Shanghai","airport","OurAirports" 6753,"Mardin Airport","Mardin","Turkey","MQM","LTCR",37.223300933800004,40.6316986084,1729,3,"E","Europe/Istanbul","airport","OurAirports" 6754,"Sugraly Airport","Zarafshan","Uzbekistan","AFS","UTSN",41.61389923095703,64.23320007324219,1396,5,"U","Asia/Samarkand","airport","OurAirports" 6755,"Deering Airport","Deering","United States","DRG","PADE",66.0696029663,-162.76600647,21,-9,"A","America/Anchorage","airport","OurAirports" 6756,"Leon Airport","Leon","Spain","LEN","LELN",42.5890007019043,-5.65556001663208,3006,1,"E","Europe/Madrid","airport","OurAirports" 6757,"Burgos Airport","Burgos","Spain","RGS","LEBG",42.357601,-3.62076,2945,1,"E","Europe/Madrid","airport","OurAirports" 6758,"Sege Airport","Sege","Solomon Islands","EGM","AGGS",-8.578889846801758,157.87600708007812,0,11,"U","Pacific/Guadalcanal","airport","OurAirports" 6759,"Shahrekord Airport","Shahre Kord","Iran","CQD","OIFS",32.2971992493,50.842201232899995,6723,3.5,"E","Asia/Tehran","airport","OurAirports" 6760,"Kangra Airport","Kangra","India","DHM","VIGG",32.16510009765625,76.26339721679688,2525,5.5,"N","Asia/Calcutta","airport","OurAirports" 6761,"Nanded Airport","Nanded","India","NDC","VAND",19.1833000183,77.31670379639999,1250,5.5,"N","Asia/Calcutta","airport","OurAirports" 6762,"Shimla Airport","Shimla","India","SLV","VISM",31.0818,77.068001,5072,5.5,"N","Asia/Calcutta","airport","OurAirports" 6763,"Igiugig Airport","Igiugig","United States","IGG","PAIG",59.32400131225586,-155.90199279785156,90,-9,"A","America/Anchorage","airport","OurAirports" 6764,"New Stuyahok Airport","New Stuyahok","United States","KNW","PANW",59.4499015808,-157.32800293,364,-9,"A","America/Anchorage","airport","OurAirports" 6765,"King Cove Airport","King Cove","United States","KVC","PAVC",55.11629867553711,-162.26600646972656,155,-9,"A","America/Anchorage","airport","OurAirports" 6766,"Port Heiden Airport","Port Heiden","United States","PTH","PAPH",56.95909881591797,-158.63299560546875,95,-9,"A","America/Anchorage","airport","OurAirports" 6767,"Togiak Airport","Togiak Village","United States","TOG","PATG",59.052799224853516,-160.39700317382812,21,-9,"A","America/Anchorage","airport","OurAirports" 6768,"Geneina Airport","Geneina","Sudan","EGN","HSGN",13.48169994354248,22.467199325561523,2650,3,"U","Africa/Khartoum","airport","OurAirports" 6769,"Long Akah Airport","Long Akah","Malaysia","LKH","WBGL",3.299999952316284,114.78299713134766,289,8,"N","Asia/Kuala_Lumpur","airport","OurAirports" 6771,"Walaha Airport","Walaha","Vanuatu","WLH","NVSW",-15.411999702500001,167.690994263,151,11,"U","Pacific/Efate","airport","OurAirports" 6772,"Chaoyang Airport","Chaoyang","China","CHG","ZYCY",41.538101,120.434998,568,8,"U","Asia/Shanghai","airport","OurAirports" 6773,"Buffalo Spring","Samburu South","Kenya","UAS","HKSB",0.530583,37.534195,3295,3,"U","Africa/Nairobi","airport","OurAirports" 6774,"Brus Laguna Airport","Brus Laguna","Honduras","BHG","MHBL",15.7631,-84.543602,19,-6,"U","America/Tegucigalpa","airport","OurAirports" 6775,"Bonaventure Airport","Bonaventure","Canada","YVB","CYVB",48.07109832763672,-65.46029663085938,123,-5,"A","America/Toronto","airport","OurAirports" 6776,"Sialkot Airport","Sialkot","Pakistan","SKT","OPST",32.5355567932,74.3638916016,837,5,"N","Asia/Karachi","airport","OurAirports" 6777,"Capitan Corbeta CA Curbelo International Airport","Punta del Este","Uruguay","PDP","SULS",-34.855098724365234,-55.09429931640625,95,-3,"S","America/Montevideo","airport","OurAirports" 6778,"Walvis Bay Airport","Walvis Bay","Namibia","WVB","FYWB",-22.9799,14.6453,299,1,"S","Africa/Windhoek","airport","OurAirports" 6779,"Katima Mulilo Airport","Mpacha","Namibia","MPA","FYKM",-17.634399,24.176701,3144,1,"S","Africa/Windhoek","airport","OurAirports" 6780,"Anadolu Airport","Eskissehir","Turkey","AOE","LTBY",39.809898,30.5194,2588,3,"E","Europe/Istanbul","airport","OurAirports" 6781,"Çanakkale Airport","Canakkale","Turkey","CKZ","LTBH",40.1376991272,26.4267997742,23,3,"E","Europe/Istanbul","airport","OurAirports" 6782,"MuÅŸ Airport","Mus","Turkey","MSR","LTCK",38.747798919677734,41.66120147705078,4157,3,"E","Europe/Istanbul","airport","OurAirports" 6783,"Sinop Airport","Sinop","Turkey","NOP","LTCM",42.015800476074,35.066398620605,20,3,"E","Europe/Istanbul","airport","OurAirports" 6784,"TekirdaÄŸ Çorlu Airport","Çorlu","Turkey","TEQ","LTBU",41.13819885253906,27.919099807739258,574,3,"E","Europe/Istanbul","airport","OurAirports" 6785,"Bursa YeniÅŸehir Airport","Yenisehir","Turkey","YEI","LTBR",40.2551994324,29.5625991821,764,3,"E","Europe/Istanbul","airport","OurAirports" 6786,"Terre-de-Haut Airport","Les Saintes","Guadeloupe","LSS","TFFS",15.86439991,-61.5806007385,46,-4,"U","America/Guadeloupe","airport","OurAirports" 6787,"Kalay Airport","Kalemyo","Myanmar","KMV","VYKL",23.188800811767578,94.05110168457031,499,6.5,"U","Asia/Rangoon","airport","OurAirports" 6788,"Vieques Airport","Vieques Island","Puerto Rico","VQS","TJCG",18.115800857500002,-65.4226989746,19,-4,"U","America/Puerto_Rico","airport","OurAirports" 6789,"St Augustin Airport","St-Augustin","Canada","YIF","CYIF",51.2117004395,-58.6582984924,20,-4,"A","America/Blanc-Sablon","airport","OurAirports" 6790,"Hamadan Airport","Hamadan","Iran","HDM","OIHH",34.86920166015625,48.5525016784668,5755,3.5,"E","Asia/Tehran","airport","OurAirports" 6791,"Marinduque Airport","Gasan","Philippines","MRQ","RPUW",13.361000061035156,121.82599639892578,32,8,"N","Asia/Manila","airport","OurAirports" 6792,"Grafton Airport","Grafton","Australia","GFN","YGFN",-29.7593994140625,153.02999877929688,110,10,"U","Australia/Sydney","airport","OurAirports" 6793,"Orange Airport","Orange","Australia","OAG","YORG",-33.3816986084,149.132995605,3115,10,"U","Australia/Sydney","airport","OurAirports" 6794,"Taree Airport","Taree","Australia","TRO","YTRE",-31.8885993958,152.514007568,38,10,"U","Australia/Sydney","airport","OurAirports" 6795,"Choibalsan Airport","Choibalsan","Mongolia","COQ","ZMCD",48.13570022583008,114.64600372314453,2457,8,"U","Asia/Ulaanbaatar","airport","OurAirports" 6797,"Hohenems-Dornbirn Airport","Hohenems","Austria","HOH","LOIH",47.3849983215,9.69999980927,1352,1,"E","Europe/Vienna","airport","OurAirports" 6798,"Weser-Wümme Airport","Hellwege","Germany",\N,"EDWM",53.053890228271484,9.208610534667969,59,1,"E","Europe/Berlin","airport","OurAirports" 6799,"Krems Airport","Krems","Austria",\N,"LOAG",48.446389,15.634167,1017,1,"E","Europe/Vienna","airport","OurAirports" 6800,"Delta County Airport","Escanaba","United States","ESC","KESC",45.7226982117,-87.0936965942,609,-5,"A","America/New_York","airport","OurAirports" 6803,"Yakutat Airport","Yakutat","United States","YAK","PAYA",59.5032997131,-139.660003662,33,-9,"A","America/Anchorage","airport","OurAirports" 6805,"Goulburn Airport","Goulburn","Australia","GUL","YGLB",-34.810298919677734,149.7259979248047,2141,10,"O","Australia/Sydney","airport","OurAirports" 6806,"Cessnock Airport","Cessnock","Australia","CES","YCNK",-32.787498,151.341995,210,10,"O","Australia/Sydney","airport","OurAirports" 6807,"Scone Airport","Scone","Australia","NSO","YSCO",-32.037200927734375,150.83200073242188,745,10,"O","Australia/Sydney","airport","OurAirports" 6808,"Mudgee Airport","Mudgee","Australia","DGE","YMDG",-32.5625,149.610992432,1545,10,"O","Australia/Sydney","airport","OurAirports" 6809,"Maitland Airport","Maitland","Australia","MTL","YMND",-32.701265,151.492912,85,10,"O","Australia/Sydney","airport","OurAirports" 6814,"Benjamin Rivera Noriega Airport","Culebra Island","Puerto Rico","CPX","TJCP",18.313289,-65.304324,49,-4,"U","America/Puerto_Rico","airport","OurAirports" 6816,"Raron Airport","Raron","Switzerland",\N,"LSTA",46.3036003112793,7.823329925537109,2029,1,"E","Europe/Zurich","airport","OurAirports" 6819,"Borovaya Airfield","Minsk","Belarus",\N,"UMMB",53.9604611,27.6505961,0,3,"E","Europe/Minsk","airport","OurAirports" 6823,"Amlikon Glider Airport","Amlikon","Switzerland",\N,"LSPA",47.57419967651367,9.047499656677246,1371,1,"E","Europe/Zurich","airport","OurAirports" 6824,"Lommis Airfield","Lommis","Switzerland",\N,"LSZT",47.524399,9.00306,1539,1,"E","Europe/Zurich","airport","OurAirports" 6825,"Williamson County Regional Airport","Marion","United States","MWA","KMWA",37.75500107,-89.01110077,472,-6,"A","America/Chicago","airport","OurAirports" 6826,"Burnet Municipal Kate Craddock Field","Bamburi","Kenya",\N,"KBMQ",30.73889923095703,-98.23860168457031,1284,-6,"U","America/Chicago","airport","OurAirports" 6829,"Oceanside Municipal Airport","Fraser Island","Australia","OCN","KOKB",33.217300415039,-117.35399627686,28,-8,"O","America/Los_Angeles","airport","OurAirports" 6830,"Flugplatz Finsterwalde/Heinrichsruh","Finsterwalde","Germany",\N,"EDAS",51.634445,13.675556,384,1,"E","Europe/Berlin","airport","OurAirports" 6832,"Kirkuk Air Base","Kirkuk","Iraq","KIK","ORKK",35.46950149536133,44.348899841308594,1061,3,"N","Asia/Baghdad","airport","OurAirports" 6833,"Al Udeid Air Base","Doha","Qatar","XJD","OTBH",25.1173000336,51.3149986267,130,3,"N","Asia/Qatar","airport","OurAirports" 6834,"Great Barrier Aerodrome","Claris","New Zealand","GBZ","NZGB",-36.24140167236328,175.4720001220703,20,12,"Z","Pacific/Auckland","airport","OurAirports" 6837,"Ford Airport","Iron Mountain","United States","IMT","KIMT",45.8184013367,-88.1145019531,1182,-6,"A","America/Chicago","airport","OurAirports" 6838,"Marquette Airport","Marquette","United States",\N,"KMQT",46.53390121459961,-87.5614013671875,1424,-5,"A","America/New_York","airport","OurAirports" 6839,"Allakaket Airport","Allakaket","United States","AET","PFAL",66.5518035889,-152.621994019,441,-9,"A","America/Anchorage","airport","OurAirports" 6840,"Dinslaken/Schwarze Heide Airport","Dinslaken","Germany",\N,"EDLD",51.616112,6.865278,217,1,"E","Europe/Berlin","airport","OurAirports" 6841,"Höxter-Holzminden Airport","Hoexter Holzminden","Germany",\N,"EDVI",51.80666732788086,9.37833309173584,1263,1,"E","Europe/Berlin","airport","OurAirports" 6843,"Niijima Airport","Niijima","Japan",\N,"RJAN",34.3694000244,139.268997192,92,9,"N","Asia/Tokyo","airport","OurAirports" 6844,"Michigan City Municipal Airport","Michigan City","United States","MGC","KMGC",41.703300476100004,-86.8211975098,655,-6,"A","America/Chicago","airport","OurAirports" 6845,"Seward Airport","Seward","United States","SWD","PAWD",60.12689971923828,-149.41900634765625,22,-9,"U","America/Anchorage","airport","OurAirports" 6849,"Grand Marais Cook County Airport","Grand Marais","United States","GRM","KCKC",47.8382987976,-90.38289642330001,1799,-6,"U","America/Chicago","airport","OurAirports" 6853,"Wausau Downtown Airport","Wausau","United States","AUW","KAUW",44.9262008667,-89.6266021729,1201,-6,"U","America/Chicago","airport","OurAirports" 6855,"Kalundborg Airport","Kalundborg","Denmark",\N,"EKKL",55.70029830932617,11.25,1,1,"E","Europe/Copenhagen","airport","OurAirports" 6859,"Mary Airport","Mary","Turkmenistan","MYP","UTAM",37.6194,61.896702,728,5,"U","Asia/Ashgabat","airport","OurAirports" 6860,"Bungle Bungle Airport","Bungle Bungle","Australia",\N,"YBUU",-17.545299530029297,128.3070068359375,0,8,"U","Australia/Perth","airport","OurAirports" 6862,"Sazená Airport","Sazena","Czech Republic",\N,"LKSZ",50.3246994019,14.2588996887,761,1,"E","Europe/Prague","airport","OurAirports" 6866,"Spray View Airport","Spray View","Zimbabwe",\N,"FVSV",-17.91699981689453,25.816999435424805,3210,2,"U","Africa/Harare","airport","OurAirports" 6867,"Reykjahlíð Airport","Myvatn","Iceland","MVA","BIRL",65.65579986572266,-16.918100357055664,1030,0,"N","Atlantic/Reykjavik","airport","OurAirports" 6868,"Sabadell Airport","Sabadell","Spain","QSA","LELL",41.52090072631836,2.1050798892974854,485,1,"E","Europe/Madrid","airport","OurAirports" 6870,"Whitsunday Island Airport","Airlie Beach","Australia","WSY","YWHI",-20.27611,148.755,40,10,"O","Australia/Brisbane","airport","OurAirports" 6871,"Delaware County Johnson Field","Muncie","United States","MIE","KMIE",40.2422981262207,-85.3958969116211,937,-5,"U","America/New_York","airport","OurAirports" 6873,"Purdue University Airport","Lafayette","United States","LAF","KLAF",40.41230010986328,-86.93689727783203,606,-5,"A","America/New_York","airport","OurAirports" 6876,"Brown County Airport","Georgetown","United States",\N,"KGEO",38.881900787353516,-83.88269805908203,958,-5,"U","America/New_York","airport","OurAirports" 6877,"North Las Vegas Airport","Las Vegas","United States","VGT","KVGT",36.21070098877,-115.19400024414,2205,-8,"U","America/Los_Angeles","airport","OurAirports" 6878,"Kenosha Regional Airport","Kenosha","United States","ENW","KENW",42.59569931,-87.92780304,742,-6,"A","America/Chicago","airport","OurAirports" 6880,"Montrose Regional Airport","Montrose CO","United States","MTJ","KMTJ",38.509799957300004,-107.893997192,5759,-7,"A","America/Denver","airport","OurAirports" 6881,"Riverton Regional Airport","Riverton WY","United States","RIW","KRIW",43.064201355,-108.459999084,5525,-7,"A","America/Denver","airport","OurAirports" 6883,"Eastern Oregon Regional At Pendleton Airport","Pendleton","United States","PDT","KPDT",45.695098877,-118.841003418,1497,-8,"A","America/Los_Angeles","airport","OurAirports" 6886,"Lympne Airport","Lympne","United Kingdom","LYM","EGMK",51.08,1.013,351,0,"E","Europe/London","airport","OurAirports" 6887,"Porto Cheli Airport","Porto Heli","Greece","PKH","LGHL",37.297501,23.1478,69,2,"E","Europe/Athens","airport","OurAirports" 6894,"Zell Am See Airport","Zell am See","Austria",\N,"LOWZ",47.292222,12.7875,2470,1,"E","Europe/Vienna","airport","OurAirports" 6896,"RAAF Base Amberley","Amberley","Australia",\N,"YAMB",-27.6406,152.712006,91,10,"O","Australia/Brisbane","airport","OurAirports" 6897,"Tindal Airport","Katherine","Australia","KTR","YPTN",-14.521100044250488,132.3780059814453,443,9.5,"O","Australia/Darwin","airport","OurAirports" 6898,"RAAF Williams, Laverton Base","Laverton","Australia",\N,"YLVT",-37.86360168457031,144.74600219726562,18,10,"O","Australia/Hobart","airport","OurAirports" 6899,"Nowra Airport","Nowra","Australia","NOA","YSNW",-34.94889831542969,150.53700256347656,400,10,"O","Australia/Sydney","airport","OurAirports" 6905,"Lutsk Airport","Lutsk","Ukraine","UCK","UKLC",50.678404,25.487165,774,2,"U","Europe/Kiev","airport","OurAirports" 6906,"Chernihiv Shestovitsa Airport","Chernigov","Ukraine","CEJ","UKRR",51.4021987915,31.1583003998,446,2,"E","Europe/Kiev","airport","OurAirports" 6907,"Ternopil International Airport","Ternopol","Ukraine",\N,"UKLT",49.5242,25.7001,1072,2,"E","Europe/Kiev","airport","OurAirports" 6908,"Brest Airport","Brest","Belarus","BQT","UMBB",52.108299,23.8981,468,3,"E","Europe/Minsk","airport","OurAirports" 6909,"Wittman Regional Airport","Oshkosh","United States","OSH","KOSH",43.98440170288086,-88.55699920654297,808,-6,"A","America/Chicago","airport","OurAirports" 6910,"Harle Airport","Harlesiel","Germany",\N,"EDXP",53.706668853759766,7.820278167724609,7,1,"E","Europe/Berlin","airport","OurAirports" 6911,"Wangerooge Airport","Wangerooge","Germany","AGE","EDWG",53.782779693603516,7.913888931274414,7,1,"E","Europe/Berlin","airport","OurAirports" 6914,"RAAF Base Pearce","Perth","Australia",\N,"YPEA",-31.667800903320312,116.01499938964844,149,8,"O","Australia/Perth","airport","OurAirports" 6915,"Bendigo Airport","Bendigo","Australia","BXG","YBDG",-36.7393989563,144.330001831,705,10,"U","Australia/Hobart","airport","OurAirports" 6916,"Pangborn Memorial Airport","Wenatchee","United States","EAT","KEAT",47.3988990784,-120.207000732,1249,-8,"A","America/Los_Angeles","airport","OurAirports" 6917,"Antonio Nery Juarbe Pol Airport","Arecibo","Puerto Rico","ARE","TJAB",18.4500007629,-66.6753005981,23,-4,"N","America/Puerto_Rico","airport","OurAirports" 6918,"Ringi Cove Airport","Ringi Cove","Solomon Islands","RIN","AGRC",-8.12639045715332,157.14300537109375,0,11,"U","Pacific/Guadalcanal","airport","OurAirports" 6922,"Kirensk Airport","Kirensk","Russia","KCK","UIKK",57.773,108.064,840,8,"N","Asia/Irkutsk","airport","OurAirports" 6924,"Ust-Kut Airport","Ust-Kut","Russia","UKX","UITT",56.8567008972168,105.7300033569336,2188,8,"N","Asia/Irkutsk","airport","OurAirports" 6926,"Rimatara Airport","Rimatara","French Polynesia","RMT","NTAM",-22.63725,-152.8059,60,-10,"U",\N,"airport","OurAirports" 6927,"Triengen Airport","Triengen","Switzerland",\N,"LSPN",47.22669982910156,8.078060150146484,1594,1,"E","Europe/Zurich","airport","OurAirports" 6928,"Lausanne-Blécherette Airport","Lausanne","Switzerland","QLS","LSGL",46.54529953,6.61667013168,2041,1,"E","Europe/Zurich","airport","OurAirports" 6929,"Speck-Fehraltorf Airport","Fehraltorf","Switzerland",\N,"LSZK",47.376399993896484,8.757499694824219,1748,1,"E","Europe/Zurich","airport","OurAirports" 6930,"Locarno Airport","Locarno","Switzerland","ZJI","LSZL",46.160800933800004,8.87860965729,650,1,"E","Europe/Zurich","airport","OurAirports" 6931,"Neuchatel Airport","Neuchatel","Switzerland","QNC","LSGN",46.9575004578,6.86471986771,1427,1,"E","Europe/Zurich","airport","OurAirports" 6932,"Taganrog Yuzhny Airport","Taganrog","Russia","TGK","URRT",47.1983333,38.8491667,117,3,"N","Europe/Moscow","airport","OurAirports" 6933,"Gelendzhik Airport","Gelendzhik","Russia","GDZ","URKG",44.5820926295,38.0124807358,98,3,"N","Europe/Moscow","airport","OurAirports" 6934,"Zhukovsky International Airport","Ramenskoe","Russia","ZIA","UUBW",55.553299,38.150002,377,3,"N","Europe/Moscow","airport","OurAirports" 6935,"Irkutsk Northwest Airport","Irkutsk","Russia",\N,"UIIR",52.36830139160156,104.18299865722656,1470,8,"N","Asia/Irkutsk","airport","OurAirports" 6936,"Khabarovsk Airport","Khabarovsk","Russia",\N,"UHHT",48.525001525878906,135.1529998779297,262,10,"N","Asia/Vladivostok","airport","OurAirports" 6937,"Dzemgi Airport","Komsomolsk-on-Amur","Russia",\N,"UHKD",50.60559844970703,137.08099365234375,89,10,"N","Asia/Vladivostok","airport","OurAirports" 6939,"Belaya Air Base","Sredniiy","Russia",\N,"UIIB",52.915000915527344,103.57499694824219,1503,8,"N","Asia/Irkutsk","airport","OurAirports" 6940,"Tunoshna Airport","Yaroslavl","Russia","IAR","UUDL",57.560699462890625,40.15739822387695,287,3,"N","Europe/Moscow","airport","OurAirports" 6943,"Gu-Lian Airport","Mohe County","China","OHE","ZYMH",52.912777777799995,122.43,1836,8,"U","Asia/Shanghai","airport","OurAirports" 6944,"Jining Qufu Airport","Jining","China","JNG","ZLJN",35.292778,116.346667,134,8,"U","Asia/Shanghai","airport","OurAirports" 6945,"Drake Bay Airport","Puntarenas","Costa Rica","DRK","MRDK",8.71889019012,-83.6417007446,12,-6,"N","America/Costa_Rica","airport","OurAirports" 6946,"Altay Air Base","Altay","China","AAT","ZWAT",47.7498855591,88.08580780030002,2460,8,"U","Asia/Shanghai","airport","OurAirports" 6947,"Tuzla International Airport","Null","Bosnia and Herzegovina","TZL","LQTZ",44.45869827270508,18.72480010986328,784,1,"E","Europe/Sarajevo","airport","OurAirports" 6948,"NAS Fort Worth JRB/Carswell Field","Dallas","United States","FWH","KNFW",32.76919937,-97.4414978,650,-6,"A","America/Chicago","airport","OurAirports" 6949,"Naypyidaw Airport","Naypyidaw","Burma","NYT","VYEL",19.623501,96.200996,302,6.5,"U","Asia/Rangoon","airport","OurAirports" 6950,"Kyaukhtu South Airport","Kyauktu","Burma",\N,"VYXG",21.406700134277344,94.13030242919922,1345,6.5,"U","Asia/Rangoon","airport","OurAirports" 6951,"Jan Mayensfield","Jan Mayen","Norway",\N,"ENJA",70.9441166,-8.6520736,39,1,"E","Arctic/Longyearbyen","airport","OurAirports" 6952,"Bokpyinn Airport","Bokepyin","Burma","VBP","VYBP",11.1494,98.735901,100,6.5,"U","Asia/Rangoon","airport","OurAirports" 6954,"Manzhouli Xijiao Airport","Manzhouli","China","NZH","ZBMZ",49.566667,117.33,2231,8,"U","Asia/Shanghai","airport","OurAirports" 6955,"Wuhai Airport","Wuhai","China","WUA","ZBUH",39.7934,106.7993,3650,8,"U","Asia/Shanghai","airport","OurAirports" 6956,"Gary Chicago International Airport","Gary","United States","GYY","KGYY",41.61629867553711,-87.41280364990234,591,-6,"A","America/Chicago","airport","OurAirports" 6957,"Brainerd Lakes Regional Airport","Brainerd","United States","BRD","KBRD",46.39830017,-94.13809967,1232,-6,"U","America/Chicago","airport","OurAirports" 6958,"Greenbrier Valley Airport","Lewisburg","United States","LWB","KLWB",37.8582992554,-80.3994979858,2302,-5,"U","America/New_York","airport","OurAirports" 6959,"Pitt Greenville Airport","Greenville","United States","PGV","KPGV",35.6352005,-77.38529968,26,-5,"A","America/New_York","airport","OurAirports" 6960,"Chefornak Airport","Chefornak","United States","CYF","PACK",60.1492004395,-164.285995483,40,-9,"A","America/Anchorage","airport","OurAirports" 6961,"Oxnard Airport","Oxnard","United States","OXR","KOXR",34.200801849365,-119.20700073242,45,-8,"A","America/Los_Angeles","airport","OurAirports" 6962,"Branson Airport","Branson","United States","BKG","KBBG",36.532082,-93.200544,1302,-6,"A","America/Chicago","airport","OurAirports" 6963,"Tongren Fenghuang Airport","Tongren","China","TEN","ZUTR",27.883333,109.308889,0,8,"U","Asia/Shanghai","airport","OurAirports" 6964,"Jinggangshan Airport","Jian","China","JGS","ZSJA",26.856899261499997,114.736999512,281,8,"U","Asia/Shanghai","airport","OurAirports" 6967,"Naiu Airport","Niau","French Polynesia","NIU","NTKN",-16.1191,-146.3683,50,-10,"U","Pacific/Tahiti","airport","OurAirports" 6968,"Schenectady County Airport","Scotia NY","United States","SCH","KSCH",42.852500915527,-73.928901672363,378,-5,"A","America/New_York","airport","OurAirports" 6969,"Begishevo Airport","Nizhnekamsk","Russia","NBC","UWKE",55.564701080322266,52.092498779296875,643,3,"N","Europe/Moscow","airport","OurAirports" 6972,"Warri Airport","Osubi","Nigeria","QRW","DNSU",5.59611,5.81778,242,1,"U","Africa/Lagos","airport","OurAirports" 6973,"Volkel Air Base","Volkel","Netherlands",\N,"EHVK",51.657222,5.7077778,72,1,"E","Europe/Amsterdam","airport","OurAirports" 6974,"Siargao Airport","Siargao","Philippines","IAO","RPNS",9.8591,126.014,10,8,"N","Asia/Manila","airport","OurAirports" 6975,"Langeoog Airport","Langeoog","Germany","LGO","EDWL",53.74250030517578,7.497777938842773,7,1,"E","Europe/Berlin","airport","OurAirports" 6984,"Biel-Kappelen Airport","Biel","Switzerland",\N,"LSZP",47.08919906616211,7.289999961853027,1437,1,"E","Europe/Zurich","airport","OurAirports" 6985,"Nelspruit Airport","Nelspruit","South Africa","NLP","FANS",-25.5,30.9137992859,2875,2,"U","Africa/Johannesburg","airport","OurAirports" 6986,"Cherkasy International Airport","Cherkassy","Ukraine","CKC","UKKE",49.41559982299805,31.99530029296875,375,2,"E","Europe/Kiev","airport","OurAirports" 6989,"Northeast Florida Regional Airport","St. Augustine Airport","United States","UST","KSGJ",29.9592,-81.339798,10,-5,"A","America/New_York","airport","OurAirports" 6990,"Mykolaiv International Airport","Nikolayev","Ukraine","NLV","UKON",47.057899475097656,31.9197998046875,184,2,"E","Europe/Kiev","airport","OurAirports" 6991,"Ramechhap Airport","Ramechhap","Nepal","RHP","VNRC",27.393999099731445,86.0614013671875,1555,5.75,"U","Asia/Katmandu","airport","OurAirports" 6992,"Charles M. Schulz Sonoma County Airport","Santa Rosa","United States","STS","KSTS",38.50899887,-122.8130035,128,-8,"A","America/Los_Angeles","airport","OurAirports" 6993,"Kissimmee Gateway Airport","Kissimmee","United States","ISM","KISM",28.2898006439,-81.4371032715,82,-5,"A","America/New_York","airport","OurAirports" 6994,"Lake City Gateway Airport","Lake City","United States","LCQ","KLCQ",30.1819992065,-82.57689666750001,201,-5,"A","America/New_York","airport","OurAirports" 6995,"Deland Municipal Sidney H Taylor Field","DeLand","United States",\N,"KDED",29.06699944,-81.28379822,79,-5,"A","America/New_York","airport","OurAirports" 6996,"Haller Airpark","Green Cove Springs","United States",\N,"7FL4",29.904057,-81.68515,75,-5,"A","America/New_York","airport","OurAirports" 6997,"Palmar Airport","Santa Lucia","Peru",\N,"SLPA",-18.97166633605957,-62.97533416748047,1342,-4,"U","America/La_Paz","airport","OurAirports" 6998,"Logan-Cache Airport","Logan","United States","LGU","KLGU",41.7911987305,-111.851997375,4457,-7,"A","America/Denver","airport","OurAirports" 6999,"Brigham City Regional Airport","Brigham City","United States","BMC","KBMC",41.552399,-112.061996,4229,-7,"A","America/Denver","airport","OurAirports" 7000,"Malad City Airport","Malad City","United States",\N,"KMLD",42.16659927368164,-112.2969970703125,4503,-7,"A","America/Denver","airport","OurAirports" 7001,"Aspen-Pitkin Co/Sardy Field","Aspen","United States","ASE","KASE",39.22320175,-106.8690033,7820,-7,"A","America/Denver","airport","OurAirports" 7003,"Ulyanovsk Baratayevka Airport","Ulyanovsk","Russia","ULV","UWLL",54.26829910279999,48.226699829100006,463,4,"N","Europe/Samara","airport","OurAirports" 7009,"Kerrville Municipal Louis Schreiner Field","Kerrville","United States","ERV","KERV",29.9766998291,-99.08570098879999,1617,-6,"A","America/Chicago","airport","OurAirports" 7010,"Birrfeld Airport","Birrfeld","Switzerland",\N,"LSZF",47.4436,8.23361,1300,1,"E","Europe/Zurich","airport","OurAirports" 7011,"Sussex County Airport","Georgetown","United States","GED","KGED",38.68920135,-75.35890198,53,-5,"A","America/New_York","airport","OurAirports" 7012,"Prince Rupert/Seal Cove Seaplane Base","Prince Rupert","Canada","ZSW","CZSW",54.33330154418945,-130.2830047607422,0,-8,"A","America/Vancouver","airport","OurAirports" 7013,"Great Bend Municipal Airport","Great Bend","United States","GBD","KGBD",38.3442993164,-98.8591995239,1887,-6,"A","America/Chicago","airport","OurAirports" 7014,"Hays Regional Airport","Hays","United States","HYS","KHYS",38.84220123,-99.27320099,1999,-6,"A","America/Chicago","airport","OurAirports" 7015,"Spirit of St Louis Airport","Null","United States","SUS","KSUS",38.662101745605,-90.652000427246,463,-6,"A","America/Chicago","airport","OurAirports" 7016,"Ely Municipal Airport","Ely","United States","LYU","KELO",47.82450104,-91.83070374,1456,-6,"A","America/Chicago","airport","OurAirports" 7017,"Grand Rapids Itasca Co-Gordon Newstrom field","Grand Rapids MN","United States","GPZ","KGPZ",47.21110153,-93.50980377,1355,-6,"A","America/Chicago","airport","OurAirports" 7018,"Thief River Falls Regional Airport","Thief River Falls","United States","TVF","KTVF",48.06570053,-96.18499756,1119,-6,"A","America/Chicago","airport","OurAirports" 7019,"Eagle River Union Airport","Eagle River","United States","EGV","KEGV",45.932300567599995,-89.26830291750001,1642,-6,"A","America/Chicago","airport","OurAirports" 7020,"Lakeland-Noble F. Lee Memorial field","Minocqua - Woodruff","United States","ARV","KARV",45.92789841,-89.73090363,1629,-6,"A","America/Chicago","airport","OurAirports" 7021,"Ankeny Regional Airport","Ankeny","United States",\N,"KIKV",41.69139862060547,-93.56639862060547,910,-6,"A","America/Chicago","airport","OurAirports" 7022,"Berens River Airport","Berens River","Canada","YBV","CYBV",52.358898,-97.018303,728,-6,"A","America/Winnipeg","airport","OurAirports" 7023,"Corpus Christi Naval Air Station/Truax Field","Corpus Christi","United States",\N,"KNGP",27.69260025,-97.29109955,18,-6,"A","America/Chicago","airport","OurAirports" 7025,"Catalina Airport","Catalina Island","United States","AVX","KAVX",33.4049,-118.416,1602,-8,"A","America/Los_Angeles","airport","OurAirports" 7026,"Mojave Airport","Mojave","United States","MHV","KMHV",35.05939865,-118.1520004,2801,-8,"A","America/Los_Angeles","airport","OurAirports" 7027,"Interlaken Air Base","Interlaken","Switzerland","ZIN","LSMI",46.6766014,7.8790798,0,1,"E","Europe/Zurich","airport","OurAirports" 7030,"Inisheer Aerodrome","Inisheer","Ireland","INQ","EIIR",53.064701080322266,-9.510899543762207,40,0,"E","Europe/Dublin","airport","OurAirports" 7033,"Strezhevoy Airport","Strezhevoy","Russia","SWT","UNSS",60.709400177,77.66000366210001,164,7,"N","Asia/Krasnoyarsk","airport","OurAirports" 7035,"Hutchinson Municipal Airport","Hutchinson","United States","HUT","KHUT",38.0654983521,-97.86060333250002,1543,-6,"A","America/Chicago","airport","OurAirports" 7036,"Bagram Air Base","Kabul","Afghanistan","OAI","OAIX",34.9460983276,69.26499938959999,4895,4.5,"U","Asia/Kabul","airport","OurAirports" 7037,"Prince Sultan Air Base","Al Kharj","Saudi Arabia","AKH","OEPS",24.062700271606445,47.580501556396484,1651,3,"N","Asia/Riyadh","airport","OurAirports" 7042,"Rosecrans Memorial Airport","Rosecrans","United States","STJ","KSTJ",39.771900177002,-94.909698486328,826,-6,"A","America/Chicago","airport","OurAirports" 7046,"Pápa Air Base","Papa","Hungary",\N,"LHPA",47.3636016846,17.5007991791,466,1,"E","Europe/Budapest","airport","OurAirports" 7047,"Whiting Field Naval Air Station South Airport","Cuxhaven","Germany",\N,"KNDZ",30.70439910888672,-87.02300262451172,177,-6,"E","America/Chicago","airport","OurAirports" 7048,"Volk Field","Camp Douglas","United States","VOK","KVOK",43.938999176025,-90.253402709961,912,-6,"A","America/Chicago","airport","OurAirports" 7051,"Gunnison Crested Butte Regional Airport","Gunnison","United States","GUC","KGUC",38.53390121,-106.9329987,7680,-7,"A","America/Denver","airport","OurAirports" 7052,"Xi'an Xiguan Airport","Xi\'AN","China","SIA","ZLSN",34.376701,109.120003,0,8,"U","Asia/Shanghai","airport","OurAirports" 7053,"Zamperini Field","Torrance","United States","TOA","KTOA",33.803398132324,-118.33999633789,103,-8,"A","America/Los_Angeles","airport","OurAirports" 7054,"Manistee Co Blacker Airport","Manistee","United States","MBL","KMBL",44.2723999,-86.24690247,621,-5,"A","America/New_York","airport","OurAirports" 7056,"Charlotte County Airport","Punta Gorda","United States","PGD","KPGD",26.92020035,-81.9905014,26,-5,"A","America/New_York","airport","OurAirports" 7058,"Northern Aroostook Regional Airport","Frenchville","United States","WFK","KFVE",47.2854995728,-68.31279754639999,988,-5,"A","America/New_York","airport","OurAirports" 7059,"Chautauqua County-Jamestown Airport","Jamestown","United States","JHW","KJHW",42.15340042,-79.25800323,1723,-5,"A","America/New_York","airport","OurAirports" 7060,"La Macaza / Mont-Tremblant International Inc Airport","Mont-Tremblant","Canada","YTM","CYFJ",46.409400939899996,-74.7799987793,827,-5,"A","America/Toronto","airport","OurAirports" 7061,"Lake Cumberland Regional Airport","Somerset","United States","SME","KSME",37.053398132299996,-84.6158981323,927,-5,"A","America/New_York","airport","OurAirports" 7062,"Shenandoah Valley Regional Airport","Weyers Cave","United States","SHD","KSHD",38.2638015747,-78.8964004517,1201,-5,"A","America/New_York","airport","OurAirports" 7063,"Devils Lake Regional Airport","Devils Lake","United States","DVL","KDVL",48.11420059,-98.90879822,1456,-6,"A","America/Chicago","airport","OurAirports" 7064,"Dickinson Theodore Roosevelt Regional Airport","Dickinson","United States","DIK","KDIK",46.7974014282,-102.802001953,2592,-7,"A","America/Denver","airport","OurAirports" 7065,"Sidney - Richland Regional Airport","Sidney","United States","SDY","KSDY",47.706902,-104.193001,1985,-7,"A","America/Denver","airport","OurAirports" 7066,"Chadron Municipal Airport","Chadron","United States","CDR","KCDR",42.837600708,-103.095001221,3297,-7,"A","America/Denver","airport","OurAirports" 7067,"Alliance Municipal Airport","Alliance","United States","AIA","KAIA",42.0531997681,-102.804000854,3931,-7,"A","America/Denver","airport","OurAirports" 7068,"Mc Cook Ben Nelson Regional Airport","McCook","United States","MCK","KMCK",40.20629883,-100.5920029,2583,-6,"A","America/Chicago","airport","OurAirports" 7069,"The Florida Keys Marathon Airport","Marathon","United States","MTH","KMTH",24.726101,-81.051399,5,-5,"A","America/New_York","airport","OurAirports" 7070,"Dawson Community Airport","Glendive","United States","GDV","KGDV",47.13869858,-104.8069992,2458,-7,"A","America/Denver","airport","OurAirports" 7071,"L M Clayton Airport","Wolf Point","United States","OLF","KOLF",48.094501495399996,-105.574996948,1986,-7,"A","America/Denver","airport","OurAirports" 7072,"Yellowstone Airport","West Yellowstone","United States","WYS","KWYS",44.68840027,-111.1179962,6649,-7,"A","America/Denver","airport","OurAirports" 7073,"San Luis Valley Regional Bergman Field","Alamosa","United States","ALS","KALS",37.434898,-105.866997,7539,-7,"A","America/Denver","airport","OurAirports" 7074,"Canyonlands Field","Moab","United States","CNY","KCNY",38.75500107,-109.7549973,4557,-7,"A","America/Denver","airport","OurAirports" 7075,"Ely Airport Yelland Field","Ely","United States","ELY","KELY",39.29970169,-114.8420029,6259,-8,"A","America/Los_Angeles","airport","OurAirports" 7076,"Vernal Regional Airport","Vernal","United States","VEL","KVEL",40.4408989,-109.5100021,5278,-7,"A","America/Denver","airport","OurAirports" 7077,"Sierra Blanca Regional Airport","Ruidoso","United States","RUI","KSRR",33.462799072266,-105.53500366211,6814,-7,"A","America/Denver","airport","OurAirports" 7078,"Show Low Regional Airport","Show Low","United States","SOW","KSOW",34.265499115,-110.005996704,6415,-7,"A","America/Phoenix","airport","OurAirports" 7079,"McCall Municipal Airport","McCall","United States","MYL","KMYL",44.88970184,-116.1009979,5024,-7,"A","America/Denver","airport","OurAirports" 7080,"Lemhi County Airport","Salmon","United States","SMN","KSMN",45.1237983704,-113.880996704,4043,-7,"A","America/Denver","airport","OurAirports" 7081,"Mammoth Yosemite Airport","Mammoth Lakes","United States","MMH","KMMH",37.62409973,-118.8379974,7135,-8,"A","America/Los_Angeles","airport","OurAirports" 7082,"Friday Harbor Airport","Friday Harbor","United States","FRD","KFHR",48.5219993591,-123.024002075,113,-8,"A","America/Los_Angeles","airport","OurAirports" 7083,"Orcas Island Airport","Eastsound","United States","ESD","KORS",48.7081985474,-122.910003662,31,-8,"A","America/Los_Angeles","airport","OurAirports" 7085,"Astoria Regional Airport","Astoria","United States","AST","KAST",46.158000946,-123.878997803,15,-8,"A","America/Los_Angeles","airport","OurAirports" 7086,"Newport Municipal Airport","Newport","United States","ONP","KONP",44.580399,-124.057999,160,-8,"A","America/Los_Angeles","airport","OurAirports" 7087,"Emmonak Airport","Emmonak","United States","EMK","PAEM",62.78609848,-164.4909973,13,-9,"A","America/Anchorage","airport","OurAirports" 7088,"Unalakleet Airport","Unalakleet","United States","UNK","PAUN",63.88840103,-160.798996,27,-9,"A","America/Anchorage","airport","OurAirports" 7089,"Ugnu-Kuparuk Airport","Kuparuk","United States","UUK","PAKU",70.33080291750001,-149.598007202,67,-9,"A","America/Anchorage","airport","OurAirports" 7090,"Shageluk Airport","Shageluk","United States","SHX","PAHX",62.6922988892,-159.569000244,79,-9,"A","America/Anchorage","airport","OurAirports" 7091,"Chuathbaluk Airport","Chuathbaluk","United States","CHU","PACH",61.579102,-159.216003,244,-9,"A","America/Anchorage","airport","OurAirports" 7092,"Nuiqsut Airport","Nuiqsut","United States","NUI","PAQT",70.2099990845,-151.005996704,38,-9,"A","America/Anchorage","airport","OurAirports" 7093,"Eek Airport","Eek","United States","EEK","PAEE",60.21367264,-162.0438843,12,-9,"A","America/Anchorage","airport","OurAirports" 7094,"Kasigluk Airport","Kasigluk","United States","KUK","PFKA",60.87440109,-162.5240021,48,-9,"A","America/Anchorage","airport","OurAirports" 7095,"Kwethluk Airport","Kwethluk","United States","KWT","PFKW",60.790298461899994,-161.444000244,25,-9,"A","America/Anchorage","airport","OurAirports" 7096,"Kwigillingok Airport","Kwigillingok","United States","KWK","PAGG",59.876499,-163.169005,18,-9,"A","America/Anchorage","airport","OurAirports" 7097,"Marshall Don Hunter Sr Airport","Marshall","United States","MLL","PADM",61.8642997742,-162.026000977,103,-9,"A","America/Anchorage","airport","OurAirports" 7098,"Russian Mission Airport","Russian Mission","United States","RSH","PARS",61.7788848877,-161.319458008,51,-9,"A","America/Anchorage","airport","OurAirports" 7101,"Koliganek Airport","Koliganek","United States","KGK","PAJZ",59.726600647,-157.259002686,269,-9,"A","America/Anchorage","airport","OurAirports" 7103,"Manokotak Airport","Manokotak","United States","KMO","PAMB",58.990200042699996,-159.050003052,100,-9,"A","America/Anchorage","airport","OurAirports" 7105,"Chalkyitsik Airport","Chalkyitsik","United States","CIK","PACI",66.6449966431,-143.740005493,544,-9,"A","America/Anchorage","airport","OurAirports" 7106,"Eagle Airport","Eagle","United States","EAA","PAEG",64.77639771,-141.151001,908,-9,"A","America/Anchorage","airport","OurAirports" 7107,"Hughes Airport","Hughes","United States","HUS","PAHU",66.04109955,-154.2630005,299,-9,"A","America/Anchorage","airport","OurAirports" 7108,"Huslia Airport","Huslia","United States","HSL","PAHL",65.69789886,-156.3509979,220,-9,"A","America/Anchorage","airport","OurAirports" 7111,"Nulato Airport","Nulato","United States","NUL","PANU",64.729301,-158.074005,399,-9,"A","America/Anchorage","airport","OurAirports" 7114,"Venetie Airport","Venetie","United States","VEE","PAVE",67.0086975098,-146.365997314,574,-9,"A","America/Anchorage","airport","OurAirports" 7115,"Beaver Airport","Beaver","United States","WBQ","PAWB",66.362197876,-147.406997681,359,-9,"A","America/Anchorage","airport","OurAirports" 7116,"Central Airport","Central","United States","CEM","PACE",65.57379913,-144.7830048,937,-9,"A","America/Anchorage","airport","OurAirports" 7117,"Shungnak Airport","Shungnak","United States","SHG","PAGH",66.88809967041,-157.16200256348,197,-9,"A","America/Anchorage","airport","OurAirports" 7120,"Inyokern Airport","Inyokern","United States","IYK","KIYK",35.65879822,-117.8300018,2457,-8,"A","America/Los_Angeles","airport","OurAirports" 7121,"Visalia Municipal Airport","Visalia","United States","VIS","KVIS",36.3186988831,-119.392997742,295,-8,"A","America/Los_Angeles","airport","OurAirports" 7122,"Merced Regional Macready Field","Merced","United States","MCE","KMCE",37.28469849,-120.5139999,155,-8,"A","America/Los_Angeles","airport","OurAirports" 7123,"Laguna de Los Patos International Airport","Colonia","Uruguay","CYR","SUCA",-34.456401824951,-57.770599365234,66,-3,"U","America/Montevideo","airport","OurAirports" 7125,"Amarais Airport","Campinas","Brazil","CPQ","SDAM",-22.85919952392578,-47.10820007324219,2008,-3,"S","America/Sao_Paulo","airport","OurAirports" 7126,"Phoenix Goodyear Airport","Goodyear","United States","GYR","KGYR",33.4225006104,-112.375999451,968,-7,"N","America/Phoenix","airport","OurAirports" 7128,"Toowoomba Airport","Toowoomba","Australia","TWB","YTWB",-27.542801,151.916,2086,10,"N","Australia/Brisbane","airport","OurAirports" 7129,"Ballera Airport","Ballera","Australia","BBL","YLLE",-27.405633,141.809458,385,10,"N","Australia/Brisbane","airport","OurAirports" 7130,"Gatton Campus Airport","Gatton","Australia",\N,"YGAT",-27.5604060653,152.340459824,0,10,"N","Australia/Brisbane","airport","OurAirports" 7131,"Arkalyk North Airport","Arkalyk","Kazakhstan","AYK","UAUR",50.318599700927734,66.95279693603516,1266,6,"U","Asia/Qyzylorda","airport","OurAirports" 7134,"Nabern/Teck Airport","Kirchheim-Teck","Germany",\N,"EDTN",48.61277771,9.477222442629998,1214,1,"E","Europe/Berlin","airport","OurAirports" 7135,"Angoon Seaplane Base","Angoon","United States","AGN","PAGN",57.503601,-134.585007,0,-9,"A","America/Anchorage","airport","OurAirports" 7136,"Elfin Cove Seaplane Base","Elfin Cove","United States","ELV","PAEL",58.195201873799995,-136.347000122,0,-9,"A","America/Anchorage","airport","OurAirports" 7140,"Funter Bay Seaplane Base","Funter Bay","United States","FNR","PANR",58.2543983459,-134.897994995,0,-9,"A","America/Anchorage","airport","OurAirports" 7142,"Hoonah Airport","Hoonah","United States","HNH","PAOH",58.0961,-135.410111,19,-9,"A","America/Anchorage","airport","OurAirports" 7143,"Kake Airport","Kake","United States",\N,"PAFE",56.9613990784,-133.910003662,172,-9,"A","America/Anchorage","airport","OurAirports" 7146,"Metlakatla Seaplane Base","Metakatla","United States","MTM","PAMM",55.131001,-131.578003,0,-9,"A","America/Anchorage","airport","OurAirports" 7148,"Hydaburg Seaplane Base","Hydaburg","United States","HYG","PAHY",55.206298828125,-132.8280029296875,0,-9,"A","America/Anchorage","airport","OurAirports" 7154,"Egegik Airport","Egegik","United States","EGX","PAII",58.1855010986,-157.375,92,-9,"A","America/Anchorage","airport","OurAirports" 7157,"Perryville Airport","Perryville","United States","KPV","PAPE",55.905998,-159.162993,29,-9,"A","America/Anchorage","airport","OurAirports" 7158,"Pilot Point Airport","Pilot Point","United States","PIP","PAPN",57.5803985596,-157.572006226,57,-9,"A","America/Anchorage","airport","OurAirports" 7159,"South Naknek Nr 2 Airport","South Naknek","United States","WSN","PFWS",58.7033996582,-157.007995605,162,-9,"A","America/Anchorage","airport","OurAirports" 7160,"Akhiok Airport","Akhiok","United States","AKK","PAKH",56.9387016296,-154.182998657,44,-9,"A","America/Anchorage","airport","OurAirports" 7161,"Karluk Airport","Karluk","United States","KYK","PAKY",57.5671005249,-154.449996948,137,-9,"A","America/Anchorage","airport","OurAirports" 7162,"Larsen Bay Airport","Larsen Bay","United States","KLN","PALB",57.5350990295,-153.977996826,87,-9,"A","America/Anchorage","airport","OurAirports" 7177,"Ambler Airport","Ambler","United States","ABL","PAFM",67.1063,-157.856989,334,-9,"A","America/Anchorage","airport","OurAirports" 7178,"Buckland Airport","Buckland","United States","BKC","PABL",65.9815979004,-161.149002075,31,-9,"A","America/Anchorage","airport","OurAirports" 7179,"Bob Baker Memorial Airport","Kiana","United States","IAN","PAIK",66.9759979248,-160.43699646,166,-9,"A","America/Anchorage","airport","OurAirports" 7180,"Kobuk Airport","Kobuk","United States","OBU","PAOB",66.9123001099,-156.897003174,137,-9,"A","America/Anchorage","airport","OurAirports" 7181,"Robert (Bob) Curtis Memorial Airport","Noorvik","United States","ORV","PFNO",66.81790161,-161.0189972,55,-9,"A","America/Anchorage","airport","OurAirports" 7182,"Selawik Airport","Selawik","United States","WLK","PASK",66.60009766,-159.9859924,17,-9,"A","America/Anchorage","airport","OurAirports" 7183,"Brevig Mission Airport","Brevig Mission","United States","KTS","PFKT",65.3312988281,-166.466003418,38,-9,"A","America/Anchorage","airport","OurAirports" 7184,"Elim Airport","Elim","United States","ELI","PFEL",64.61470032,-162.2720032,162,-9,"A","America/Anchorage","airport","OurAirports" 7185,"Golovin Airport","Golovin","United States","GLV","PAGL",64.5504989624,-163.007003784,59,-9,"A","America/Anchorage","airport","OurAirports" 7186,"Teller Airport","Teller","United States","TLA","PATE",65.2404022217,-166.339004517,294,-9,"A","America/Anchorage","airport","OurAirports" 7187,"Wales Airport","Wales","United States","WAA","PAIW",65.622593,-168.095,22,-9,"A","America/Anchorage","airport","OurAirports" 7188,"White Mountain Airport","White Mountain","United States","WMO","PAWM",64.689201355,-163.412994385,267,-9,"A","America/Anchorage","airport","OurAirports" 7190,"Koyuk Alfred Adams Airport","Koyuk","United States","KKA","PAKK",64.9394989014,-161.154006958,154,-9,"A","America/Anchorage","airport","OurAirports" 7191,"St Michael Airport","St. Michael","United States","SMK","PAMK",63.49010086,-162.1100006,98,-9,"A","America/Anchorage","airport","OurAirports" 7192,"Shaktoolik Airport","Shaktoolik","United States","SKK","PFSH",64.37110138,-161.223999,24,-9,"A","America/Anchorage","airport","OurAirports" 7194,"Tin City Long Range Radar Station Airport","Tin City","United States","TNC","PATC",65.56310272,-167.9219971,271,-9,"A","America/Anchorage","airport","OurAirports" 7195,"Atka Airport","Atka","United States","AKB","PAAK",52.22029877,-174.2059937,57,-10,"A","America/Adak","airport","OurAirports" 7196,"Nikolski Air Station","Nikolski","United States","IKO","PAKO",52.94160079956055,-168.8489990234375,77,-9,"A","America/Anchorage","airport","OurAirports" 7198,"Yakataga Airport","Yakataga","United States","CYT","PACY",60.080974,-142.494541,12,-9,"A","America/Anchorage","airport","OurAirports" 7199,"Alakanuk Airport","Alakanuk","United States","AUK","PAUK",62.680042266799994,-164.659927368,10,-9,"A","America/Anchorage","airport","OurAirports" 7201,"Kipnuk Airport","Kipnuk","United States","KPN","PAKI",59.932998657199995,-164.031005859,11,-9,"A","America/Anchorage","airport","OurAirports" 7202,"False Pass Airport","False Pass","United States","KFP","PAKF",54.8474006652832,-163.41000366210938,20,-9,"A","America/Anchorage","airport","OurAirports" 7203,"Nelson Lagoon Airport","Nelson Lagoon","United States","NLG","PAOU",56.007499694824,-161.16000366211,14,-9,"A","America/Anchorage","airport","OurAirports" 7204,"Port Moller Airport","Cold Bay","United States","PML","PAAL",56.0060005188,-160.561004639,20,-9,"A","America/Anchorage","airport","OurAirports" 7205,"Klawock Airport","Klawock","United States","KLW","PAKW",55.579200744599994,-133.076004028,80,-9,"A","America/Anchorage","airport","OurAirports" 7206,"Quinhagak Airport","Quinhagak","United States","KWN","PAQH",59.7551,-161.845,42,-9,"A","America/Anchorage","airport","OurAirports" 7207,"Kotlik Airport","Kotlik","United States","KOT","PFKO",63.0306015015,-163.533004761,15,-9,"A","America/Anchorage","airport","OurAirports" 7208,"Koyukuk Airport","Koyukuk","United States","KYU","PFKU",64.8760986328,-157.727005005,149,-9,"A","America/Anchorage","airport","OurAirports" 7209,"Scammon Bay Airport","Scammon Bay","United States","SCM","PACM",61.845298767100005,-165.570999146,14,-9,"A","America/Anchorage","airport","OurAirports" 7210,"Nondalton Airport","Nondalton","United States","NNL","PANO",59.980201721191,-154.8390045166,314,-9,"A","America/Anchorage","airport","OurAirports" 7213,"Kongiganak Airport","Kongiganak","United States","KKH","PADY",59.960800170899994,-162.880996704,30,-9,"A","America/Anchorage","airport","OurAirports" 7214,"Nikolai Airport","Nikolai","United States","NIB","PAFS",63.0186,-154.358002,441,-9,"A","America/Anchorage","airport","OurAirports" 7217,"Akiak Airport","Akiak","United States","AKI","PFAK",60.9029006958,-161.231002808,30,-9,"A","America/Anchorage","airport","OurAirports" 7220,"Wainwright Airport","Wainwright","United States","AIN","PAWI",70.6380004883,-159.994995117,41,-9,"A","America/Anchorage","airport","OurAirports" 7221,"Zapala Airport","ZAPALA","Argentina","APZ","SAHZ",-38.975498,-70.113602,3330,-3,"N","America/Argentina/Salta","airport","OurAirports" 7222,"Rincon De Los Sauces Airport","Rincon de los Sauces","Argentina","RDS","SAHS",-37.3905982971,-68.9041976929,1968,-3,"N","America/Argentina/Salta","airport","OurAirports" 7226,"Tte. Julio Gallardo Airport","Puerto Natales","Chile","PNT","SCNT",-51.67150115966797,-72.52839660644531,217,-4,"S","America/Santiago","airport","OurAirports" 7229,"Sierra Grande Airport","Sierra Grande","Argentina","SGV","SAVS",-41.5917015076,-65.33940124509999,688,-3,"N","America/Argentina/Salta","airport","OurAirports" 7230,"Cabo F.A.A. H. R. Bordón Airport","Ingeniero Jacobacci","Argentina","IGB","SAVJ",-41.320899963399995,-69.5748977661,2925,-3,"N","America/Argentina/Salta","airport","OurAirports" 7233,"Chenega Bay Airport","Chenega","United States","NCN","PFCB",60.0773010254,-147.992004395,72,-9,"A","America/Anchorage","airport","OurAirports" 7235,"Tok Junction Airport","Tok","United States","TKJ","PFTO",63.32949829,-142.9539948,1639,-9,"A","America/Anchorage","airport","OurAirports" 7236,"Circle City /New/ Airport","Circle","United States","IRC","PACR",65.830498,-144.076008,613,-9,"A","America/Anchorage","airport","OurAirports" 7240,"Sleetmute Airport","Sleetmute","United States","SLQ","PASL",61.7005004883,-157.166000366,190,-9,"A","America/Anchorage","airport","OurAirports" 7242,"Healy River Airport","Healy","United States",\N,"PAHV",63.8661994934082,-148.968994140625,1263,-9,"A","America/Anchorage","airport","OurAirports" 7244,"Klawock Seaplane Base","Klawock","United States",\N,"PAQC",55.5546989440918,-133.1020050048828,0,-9,"A","America/Anchorage","airport","OurAirports" 7245,"Minchumina Airport","Lake Minchumina","United States","LMA","PAMH",63.886002,-152.302002,678,-9,"A","America/Anchorage","airport","OurAirports" 7246,"Manley Hot Springs Airport","Manley Hot Springs","United States","MLY","PAML",64.99759674069999,-150.643997192,270,-9,"A","America/Anchorage","airport","OurAirports" 7251,"Natuashish Airport","Natuashish","Canada","YNP","CNH2",55.913898,-61.184399,30,-4,"A","America/Halifax","airport","OurAirports" 7252,"Postville Airport","Postville","Canada","YSO","CCD4",54.9105,-59.78507,193,-4,"A","America/Halifax","airport","OurAirports" 7253,"Kangiqsujuaq (Wakeham Bay) Airport","Kangiqsujuaq","Canada","YWB","CYKG",61.5886001587,-71.929397583,501,-5,"A","America/Toronto","airport","OurAirports" 7254,"Alma Airport","Alma","Canada","YTF","CYTF",48.50889968869999,-71.64189910889999,445,-5,"A","America/Toronto","airport","OurAirports" 7255,"Havre St Pierre Airport","Havre-Saint-Pierre","Canada","YGV","CYGV",50.281898498535156,-63.61140060424805,124,-5,"A","America/Toronto","airport","OurAirports" 7256,"Rimouski Airport","Rimouski","Canada","YXK","CYXK",48.47809982299805,-68.49690246582031,82,-5,"A","America/Toronto","airport","OurAirports" 7259,"Tadoule Lake Airport","Tadoule Lake","Canada","XTL","CYBQ",58.7061,-98.512199,923,-6,"A","America/Winnipeg","airport","OurAirports" 7260,"Lac Brochet Airport","Lac Brochet","Canada","XLB","CZWH",58.6175003052,-101.46900177,1211,-6,"A","America/Winnipeg","airport","OurAirports" 7261,"South Indian Lake Airport","South Indian Lake","Canada","XSI","CZSN",56.7928009033,-98.9072036743,951,-6,"A","America/Winnipeg","airport","OurAirports" 7262,"Brochet Airport","Brochet","Canada","YBT","CYBT",57.8894,-101.679001,1136,-6,"A","America/Winnipeg","airport","OurAirports" 7263,"Little Grand Rapids Airport","Little Grand Rapids","Canada","ZGR","CZGR",52.04560089111328,-95.4657974243164,1005,-6,"A","America/Winnipeg","airport","OurAirports" 7264,"Cross Lake (Charlie Sinclair Memorial) Airport","Cross Lake","Canada","YCR","CYCR",54.610599517822266,-97.76080322265625,709,-6,"A","America/Winnipeg","airport","OurAirports" 7265,"Red Sucker Lake Airport","Red Sucker Lake","Canada","YRS","CYRS",54.167198181152344,-93.55719757080078,729,-6,"A","America/Winnipeg","airport","OurAirports" 7266,"Rainbow Lake Airport","Rainbow Lake","Canada","YOP","CYOP",58.49140167236328,-119.40799713134766,1759,-7,"A","America/Edmonton","airport","OurAirports" 7267,"Bonnyville Airport","Bonnyville","Canada","YBY","CYBF",54.304199,-110.744003,1836,-7,"A","America/Edmonton","airport","OurAirports" 7268,"Nanaimo Harbour Water Airport","Nanaimo","Canada","ZNA","CAC8",49.1833000183,-123.949996948,0,-8,"A","America/Vancouver","airport","OurAirports" 7269,"Ganges Seaplane Base","Ganges","Canada","YGG","CAX6",48.8545,-123.4969,0,-8,"A","America/Vancouver","airport","OurAirports" 7272,"Fort St James Airport","Fort St. James","Canada",\N,"CYJM",54.39720153808594,-124.26300048828125,2364,-8,"A","America/Vancouver","airport","OurAirports" 7273,"Boundary Bay Airport","Boundary Bay","Canada","YDT","CZBB",49.0742,-123.012001,6,-8,"A","America/Vancouver","airport","OurAirports" 7274,"Langley Airport","Langley Township","Canada","YLY","CYNJ",49.10079956049999,-122.630996704,34,-8,"A","America/Vancouver","airport","OurAirports" 7275,"Denny Island Airport","Bella Bella","Canada",\N,"CYJQ",52.137937,-128.059748,162,-8,"A","America/Vancouver","airport","OurAirports" 7277,"Wekweètì Airport","Wekweeti","Canada","YFJ","CFJ2",64.190804,-114.077002,1208,-7,"A","America/Edmonton","airport","OurAirports" 7278,"Camaguey-Campo Cuatro Milpas Airport","Guasave","Mexico",\N,"MM52",25.652200698853,-108.53800201416,92,-7,"A","America/Mazatlan","airport","OurAirports" 7280,"Cabo San Lucas International Airport","Cabo San Lucas","Mexico",\N,"MMSL",22.947701,-109.936996,459,-7,"A","America/Mazatlan","airport","OurAirports" 7291,"Corn Island","Corn Island","Nicaragua","RNI","MNCI",12.1628999710083,-83.06379699707031,1,-6,"U","America/Managua","airport","OurAirports" 7292,"San Pedro Airport","Bonanza","Nicaragua","BZA","MNBZ",13.949999809265137,-84.5999984741211,600,-6,"U","America/Managua","airport","OurAirports" 7293,"Rosita Airport","Rosita","Nicaragua","RFS","MNRT",13.889699935913086,-84.40889739990234,193,-6,"U","America/Managua","airport","OurAirports" 7294,"Siuna","Siuna","Nicaragua","SIU","MNSI",13.727222442626953,-84.77777862548828,606,-6,"U","America/Managua","airport","OurAirports" 7295,"Waspam Airport","Waspam","Nicaragua","WSP","MNWP",14.7391996383667,-83.96939849853516,98,-6,"U","America/Managua","airport","OurAirports" 7296,"San Carlos","San Carlos","Nicaragua","NCR","MNSC",11.133399963378906,-84.7699966430664,91,-6,"U","America/Managua","airport","OurAirports" 7297,"Playa Samara/Carrillo Airport","Carrillo","Costa Rica","PLD","MRCR",9.8705101013184,-85.481399536133,50,-6,"U","America/Costa_Rica","airport","OurAirports" 7301,"Constanza - Expedición 14 de Junio National Airport","Constanza","Dominican Republic","COZ","MDCZ",18.907499313354,-70.721900939941,3950,-4,"U","America/Santo_Domingo","airport","OurAirports" 7302,"Negril Airport","Negril","Jamaica","NEG","MKNG",18.34280014038086,-78.33209991455078,9,-5,"U","America/Jamaica","airport","OurAirports" 7307,"José Aponte de la Torre Airport","Ceiba","Puerto Rico","NRR","TJRV",18.245300293,-65.6434020996,38,-4,"A","America/Puerto_Rico","airport","OurAirports" 7309,"Charlotte Amalie Harbor Seaplane Base","Charlotte Amalie","Virgin Islands","SPB","VI22",18.338600158691406,-64.9406967163086,0,-4,"A","America/St_Thomas","airport","OurAirports" 7311,"D. Casimiro Szlapelis Airport","Alto Rio Senguer","Argentina","ARR","SAVR",-45.013599,-70.812202,2286,-3,"N","America/Catamarca","airport","OurAirports" 7312,"Jose De San Martin Airport","Jose de San Martin","Argentina","JSM","SAWS",-44.048599243199995,-70.4589004517,2407,-3,"N","America/Catamarca","airport","OurAirports" 7313,"Uyuni Airport","Uyuni","Bolivia","UYU","SLUY",-20.446300506599997,-66.8483963013,11136,-4,"U","America/La_Paz","airport","OurAirports" 7317,"Rurenabaque Airport","Rerrenabaque","Bolivia","RBQ","SLRQ",-14.427900314299999,-67.4968032837,676,-4,"U","America/La_Paz","airport","OurAirports" 7320,"Abaiang Airport","Abaiang Atoll","Kiribati","ABF","NGAB",1.798609972000122,173.04100036621094,0,12,"U","Pacific/Tarawa","airport","OurAirports" 7323,"Afobakka Airstrip","Afobaka","Suriname",\N,"SMAF",4.998505,-54.992033,80,-3,"U","America/Paramaribo","airport","OurAirports" 7324,"Alalapadu Airstrip","Alapadu","Suriname",\N,"SMDU",2.5235,-56.3247,880,-3,"U","America/Paramaribo","airport","OurAirports" 7325,"Albina Airport","Albina","Suriname","ABN","SMBN",5.512720108032227,-54.05009841918945,19,-3,"U","America/Paramaribo","airport","OurAirports" 7326,"Lawa Anapaike Airstrip","Anapaike","Suriname",\N,"SMLA",3.411301,-54.028049,373,-3,"U","America/Paramaribo","airport","OurAirports" 7327,"Apetina Airstrip","Apetina","Suriname",\N,"SMPT",3.50278,-55.058791,0,-3,"U","America/Paramaribo","airport","OurAirports" 7330,"Drietabbetje Airport","Drietabbetje","Suriname","DRJ","SMDA",4.111359,-54.672766,236,-3,"U","America/Paramaribo","airport","OurAirports" 7331,"Kabalebo Airport","Kabalebo","Suriname",\N,"SMKA",4.406,-57.223,535,-3,"U","America/Paramaribo","airport","OurAirports" 7332,"Kayser Airport","Kayser","Suriname",\N,"SMKE",3.094343,-56.472702,849,-3,"U","America/Paramaribo","airport","OurAirports" 7333,"Kwamalasoemoetoe Airport","Kwamelasemoetoe","Suriname",\N,"SMSM",2.354427,-56.792431,905,-3,"U","America/Paramaribo","airport","OurAirports" 7334,"Moengo Airstrip","Moengo","Suriname","MOJ","SMMO",5.6076,-54.4003,49,-3,"U","America/Paramaribo","airport","OurAirports" 7335,"Nieuw Nickerie Airport","Nieuw Nickerie","Suriname","ICK","SMNI",5.955560207366943,-57.039398193359375,9,-3,"U","America/Paramaribo","airport","OurAirports" 7336,"Vincent Fayks Airport","Paloemeu","Suriname","OEM","SMPA",3.3452799320220947,-55.442501068115234,714,-3,"U","America/Paramaribo","airport","OurAirports" 7337,"Sarakreek Airstrip","Sarakreek","Suriname",\N,"SMSK",4.319444,-54.966667,223,-3,"U","America/Paramaribo","airport","OurAirports" 7338,"Sipaliwini Airport","Sipaliwini","Suriname",\N,"SMSI",2.026438,-56.126412,744,-3,"U","America/Paramaribo","airport","OurAirports" 7339,"Stoelmanseiland Airport","Stoelmans Eiland","Suriname","SMZ","SMST",4.349999904632568,-54.41666793823242,187,-3,"U","America/Paramaribo","airport","OurAirports" 7340,"Totness Airport","Totness","Suriname","TOT","SMCO",5.865829944610596,-56.32749938964844,10,-3,"U","America/Paramaribo","airport","OurAirports" 7341,"Wageningen Airstrip","Wageningen","Suriname","AGI","SMWA",5.841128,-56.673328,6,-3,"U","America/Paramaribo","airport","OurAirports" 7343,"Codela Airport","Guapiles","Costa Rica",\N,"MRCA",10.4139995575,-85.0916976929,328,-6,"U","America/Costa_Rica","airport","OurAirports" 7346,"Orinduik Airport","Orinduik","Guyana","ORJ","SYOR",4.725269794464111,-60.03499984741211,1797,-4,"U","America/Guyana","airport","OurAirports" 7347,"Annai Airport","Annai","Guyana","NAI","SYAN",3.959439992904663,-59.12419891357422,301,-4,"U","America/Guyana","airport","OurAirports" 7348,"Apoteri Airport","Apoteri","Guyana",\N,"SYAP",4.013879776000977,-58.60499954223633,301,-4,"U","America/Guyana","airport","OurAirports" 7349,"Imbaimadai Airport","Imbaimadai","Guyana","IMB","SYIB",5.7081098556518555,-60.2942008972168,1646,-4,"U","America/Guyana","airport","OurAirports" 7350,"Kamarang Airport","Kamarang","Guyana","KAR","SYKM",5.865340232849121,-60.614200592041016,1601,-4,"U","America/Guyana","airport","OurAirports" 7351,"Mabaruma Airport","Mabaruma","Guyana","USI","SYMB",8.199999809265137,-59.78329849243164,45,-4,"U","America/Guyana","airport","OurAirports" 7352,"Mahdia Airport","Mahdia","Guyana","MHA","SYMD",5.277490139007568,-59.151100158691406,300,-4,"U","America/Guyana","airport","OurAirports" 7353,"Dr Augusto Roberto Fuster International Airport","Pedro Juan Caballero","Paraguay","PJC","SGPJ",-22.639999389648438,-55.83000183105469,1873,-4,"U","America/Asuncion","airport","OurAirports" 7354,"Alcides Fernández Airport","Acandi","Colombia","ACD","SKAD",8.51667,-77.3,50,-5,"U","America/Bogota","airport","OurAirports" 7355,"Los Colonizadores Airport","Saravena","Colombia","RVE","SKSA",6.951868,-71.857179,680,-5,"U","America/Bogota","airport","OurAirports" 7357,"Batagay Airport","Batagay","Russia","BQJ","UEBB",67.648002624512,134.69500732422,696,10,"N","Asia/Vladivostok","airport","OurAirports" 7359,"Villa Garzón Airport","Villa Garzon","Colombia","VGZ","SKVG",0.978767,-76.6056,1248,-5,"U","America/Bogota","airport","OurAirports" 7360,"El Bagre Airport","El Bagre","Colombia","EBG","SKEB",7.59647,-74.8089,180,-5,"U","America/Bogota","airport","OurAirports" 7361,"Juan H White Airport","Caucasia","Colombia","CAQ","SKCU",7.96847,-75.1985,174,-5,"U","America/Bogota","airport","OurAirports" 7362,"Mandinga Airport","Condoto","Colombia","COG","SKCD",5.08333,-76.7,213,-5,"U","America/Bogota","airport","OurAirports" 7363,"Golfo de Morrosquillo Airport","Tolu","Colombia","TLU","SKTL",9.50945,-75.5854,16,-5,"U","America/Bogota","airport","OurAirports" 7364,"Cabo Frio Airport","Cabo Frio","Brazil","CFB","SBCB",-22.921699523900003,-42.074298858599995,23,-3,"S","America/Sao_Paulo","airport","OurAirports" 7367,"Presidente João Batista Figueiredo Airport","Sinop","Brazil","OPS","SWSI",-11.885000228881836,-55.58610916137695,1227,-4,"S","America/Campo_Grande","airport","OurAirports" 7368,"Gurupi Airport","Gurupi","Brazil","GRP","SWGI",-11.73960018157959,-49.132198333740234,1148,-3,"S","America/Fortaleza","airport","OurAirports" 7369,"Santana do Araguaia Airport","Santana do Araguaia","Brazil","CMP","SNKE",-9.31997013092041,-50.32849884033203,597,-3,"S","America/Belem","airport","OurAirports" 7370,"Breves Airport","Breves","Brazil","BVS","SNVS",-1.6365300416946411,-50.443599700927734,98,-3,"S","America/Belem","airport","OurAirports" 7371,"Soure Airport","Soure","Brazil","SFK","SNSW",-0.6994310021400452,-48.520999908447266,43,-3,"S","America/Belem","airport","OurAirports" 7372,"Parintins Airport","Parintins","Brazil","PIN","SWPI",-2.6730198860168457,-56.777198791503906,87,-4,"S","America/Boa_Vista","airport","OurAirports" 7373,"Barreiras Airport","Barreiras","Brazil","BRA","SNBR",-12.078900337219238,-45.00899887084961,2447,-3,"S","America/Fortaleza","airport","OurAirports" 7374,"Santa Terezinha Airport","Santa Terezinha","Brazil","STZ","SWST",-10.4647216796875,-50.518611907958984,663,-4,"S","America/Campo_Grande","airport","OurAirports" 7375,"Minaçu Airport","Minacu","Brazil","MQH","SBMC",-13.5491,-48.195301,1401,-3,"S","America/Sao_Paulo","airport","OurAirports" 7376,"Araguaína Airport","Araguaina","Brazil","AUX","SWGN",-7.22787,-48.240501,771,-3,"S","America/Fortaleza","airport","OurAirports" 7377,"Novo Aripuanã Airport","Novo Aripuana","Brazil","NVP","SWNA",-5.118030071258545,-60.364898681640625,118,-4,"S","America/Boa_Vista","airport","OurAirports" 7378,"Fazenda Colen Airport","Lucas do Rio Verde","Brazil",\N,"SWFE",-13.314443588256836,-56.11277770996094,1345,-4,"S","America/Campo_Grande","airport","OurAirports" 7379,"Tenente Lund Pressoto Airport","Franca","Brazil","FRC","SIMK",-20.592199,-47.3829,3292,-3,"S","America/Sao_Paulo","airport","OurAirports" 7380,"Dourados Airport","Dourados","Brazil","DOU","SSDO",-22.2019,-54.926601,1503,-4,"S","America/Campo_Grande","airport","OurAirports" 7381,"Lábrea Airport","Labrea","Brazil","LBR","SWLB",-7.278969764709473,-64.76950073242188,190,-4,"S","America/Boa_Vista","airport","OurAirports" 7382,"Maestro Marinho Franco Airport","Rondonopolis","Brazil","ROO","SWRD",-16.586,-54.7248,1467,-4,"S","America/Campo_Grande","airport","OurAirports" 7383,"Tancredo Thomas de Faria Airport","Guarapuava","Brazil","GPB","SBGU",-25.3875007629,-51.520198822,3494,-3,"S","America/Sao_Paulo","airport","OurAirports" 7384,"Santa Terezinha Airport","Joacaba","Brazil","JCB","SSJA",-27.1714000702,-51.5532989502,2546,-3,"S","America/Sao_Paulo","airport","OurAirports" 7394,"General Leite de Castro Airport","Rio Verde","Brazil","RVD","SWLC",-17.8347225189209,-50.956111907958984,2464,-3,"S","America/Sao_Paulo","airport","OurAirports" 7395,"Romeu Zema Airport","Araxa","Brazil","AAX","SBAX",-19.563199996948,-46.960399627686,3276,-3,"S","America/Sao_Paulo","airport","OurAirports" 7396,"Maués Airport","Maues","Brazil","MBZ","SWMW",-3.37217,-57.7248,69,-4,"S","America/Boa_Vista","airport","OurAirports" 7397,"Borba Airport","Borba","Brazil","RBB","SWBR",-4.4063401222229,-59.60240173339844,293,-4,"S","America/Boa_Vista","airport","OurAirports" 7398,"Coari Airport","Coari","Brazil","CIZ","SWKO",-4.134059906005859,-63.132598876953125,131,-4,"S","America/Boa_Vista","airport","OurAirports" 7399,"Barcelos Airport","Barcelos","Brazil","BAZ","SWBC",-0.981292,-62.919601,112,-4,"S","America/Boa_Vista","airport","OurAirports" 7406,"Diamantino Airport","Diamantino","Brazil","DMT","SWDM",-14.376899719238281,-56.40039825439453,1476,-4,"S","America/Campo_Grande","airport","OurAirports" 7407,"Guanambi Airport","Guanambi","Brazil","GNM","SNGI",-14.208200454711914,-42.74610137939453,1815,-3,"S","America/Fortaleza","airport","OurAirports" 7408,"Tsletsi Airport","Djelfa","Algeria","QDJ","DAFI",34.6657,3.351,3753,1,"U","Africa/Algiers","airport","OurAirports" 7409,"Nzagi Airport","Nzagi","Angola","NZA","FNZG",-7.716939926149999,21.358200073200003,2431,1,"U","Africa/Luanda","airport","OurAirports" 7411,"Lucapa Airport","Lucapa","Angola","LBZ","FNLK",-8.445727348330001,20.7320861816,3029,1,"U","Africa/Luanda","airport","OurAirports" 7412,"Capanda Airport","Kapanda","Angola","KNP","FNCP",-9.76937007904,15.4553194046,3366,1,"U","Africa/Luanda","airport","OurAirports" 7413,"Am Timan Airport","Am Timan","Chad","AMC","FTTN",11.0340003967,20.274000167799997,1420,1,"U","Africa/Ndjamena","airport","OurAirports" 7414,"Shark El Oweinat International Airport","Sharq Al-Owainat","Egypt","GSQ","HEOW",22.5856990814209,28.71660041809082,859,2,"U","Africa/Cairo","airport","OurAirports" 7415,"Eastern WV Regional Airport/Shepherd Field","Martinsburg","United States","MRB","KMRB",39.40190125,-77.98459625,565,-5,"A","America/New_York","airport","OurAirports" 7416,"Awassa Airport","Awasa","Ethiopia","AWA","HALA",7.066999912261963,38.5,5450,3,"U","Africa/Addis_Ababa","airport","OurAirports" 7417,"Wilwal International Airport","Jijiga","Ethiopia","JIJ","HAJJ",9.3325,42.9121,5954,3,"U","Africa/Addis_Ababa","airport","OurAirports" 7418,"Mekane Selam Airport","Mekane Selam","Ethiopia","MKS","HAMA",10.7254,38.7415,8405,3,"U","Africa/Addis_Ababa","airport","OurAirports" 7419,"Debra Marcos Airport","Debre Marqos","Ethiopia","DBM","HADM",10.350000381469727,37.71699905395508,8136,3,"U","Africa/Addis_Ababa","airport","OurAirports" 7420,"Debre Tabor Airport","Debre Tabor","Ethiopia","DBT","HADT",11.967000007629395,38,8490,3,"U","Africa/Addis_Ababa","airport","OurAirports" 7421,"Harar Meda Airport","Debre Zeyit","Ethiopia","QHR","HAHM",8.7163,39.0059,6201,3,"U","Africa/Addis_Ababa","airport","OurAirports" 7422,"Robe Airport","Goba","Ethiopia","GOB","HAGB",7.1160634,40.0463033,7892,3,"U","Africa/Addis_Ababa","airport","OurAirports" 7423,"Mayumba Airport","Mayumba","Gabon","MYB","FOOY",-3.4584197998046875,10.674076080322266,13,1,"U","Africa/Libreville","airport","OurAirports" 7424,"Mara Serena Lodge Airstrip","Masai Mara","Kenya","MRE","HKMS",-1.406111,35.008057,5200,3,"U","Africa/Nairobi","airport","OurAirports" 7426,"Mulika Lodge Airport","Meru National Park","Kenya","JJM","HKMK",0.165083006024,38.1951408386,2000,3,"U","Africa/Nairobi","airport","OurAirports" 7427,"Rumbek Airport","Rumbek","Sudan","RBX","HSMK",6.8249998092699995,29.6690006256,1378,3,"U","Africa/Juba","airport","OurAirports" 7428,"Yei Airport","Yei","Sudan",\N,"HSYE",4.13028160099,30.7280731201,2000,3,"U","Africa/Juba","airport","OurAirports" 7429,"Cape Palmas Airport","Greenville","Liberia","CPA","GLCP",4.3790202140808105,-7.6969499588012695,20,0,"U","Africa/Monrovia","airport","OurAirports" 7432,"Ecuvillens Airport","Ecuvillens","Switzerland",\N,"LSGE",46.755001068115234,7.076109886169434,2293,1,"E","Europe/Zurich","airport","OurAirports" 7437,"Inhaca Airport","Inhaca","Mozambique","IHC","FQIA",-25.9971446991,32.929351806599996,10,2,"U","Africa/Maputo","airport","OurAirports" 7442,"Ouro Sogui Airport","Matam","Senegal","MAX","GOSM",15.593600273132324,-13.322799682617188,85,0,"U","Africa/Dakar","airport","OurAirports" 7443,"Bird Island Airport","Bird Island","Seychelles","BDI","FSSB",-3.72472,55.205299,6,4,"U",\N,"airport","OurAirports" 7446,"Wadi Halfa Airport","Wadi Halfa","Sudan","WHF","HSSW",21.802698135375977,31.521577835083008,961,3,"U","Africa/Khartoum","airport","OurAirports" 7447,"Enfidha - Hammamet International Airport","Enfidha","Tunisia","NBE","DTNH",36.075833,10.438611,21,1,"U","Africa/Tunis","airport","OurAirports" 7448,"Kidepo Airport","Kidepo","Uganda",\N,"HUKD",3.7176,33.7487,4033,3,"U","Africa/Kampala","airport","OurAirports" 7449,"Kitgum Airport","Kitgum","Uganda",\N,"HUKT",3.2817,32.8882,3130,3,"U","Africa/Kampala","airport","OurAirports" 7450,"Bugungu Airport","Pakuba","Uganda",\N,"HUPA",2.2,31.55,2472,3,"U","Africa/Kampala","airport","OurAirports" 7451,"Svea Airport","Sveagruva","Svalbard",\N,"ENSA",77.8969444,16.725,32,1,"U","Arctic/Longyearbyen","airport","OurAirports" 7452,"Ny-Ã…lesund Airport (Hamnerabben)","Ny-Alesund","Svalbard",\N,"ENAS",78.9274978638,11.8743,50,1,"U","Arctic/Longyearbyen","airport","OurAirports" 7453,"Hatay Airport","Hatay","Turkey","HTY","LTDA",36.36277771,36.282222747800006,269,3,"U","Europe/Istanbul","airport","OurAirports" 7454,"Kihnu Airfield","Kihnu","Estonia",\N,"EEKU",58.14830017089844,24.002500534057617,10,2,"U","Europe/Tallinn","airport","OurAirports" 7455,"Ruhnu Airfield","Ruhnu","Estonia",\N,"EERU",57.78390121459961,23.26609992980957,10,2,"U","Europe/Tallinn","airport","OurAirports" 7456,"Raivavae Airport","Raivavae","French Polynesia","RVV","NTAV",-23.885200500499998,-147.662002563,7,-10,"N","Pacific/Tahiti","airport","OurAirports" 7457,"Foshan Shadi Airport","Foshan","China","FUO","ZGFS",23.083299636799996,113.069999695,6,8,"N","Asia/Shanghai","airport","OurAirports" 7458,"Huizhou Airport","Huizhou","China","HUZ","ZGHZ",23.0499992371,114.599998474,50,8,"N","Asia/Shanghai","airport","OurAirports" 7459,"Lleida-Alguaire Airport","Lleida","Spain","ILD","LEDA",41.728185,0.535023,1170,1,"E","Europe/Madrid","airport","OurAirports" 7461,"Ouessant Airport","Ouessant","France",\N,"LFEC",48.463199615478516,-5.06358003616333,142,1,"U","Europe/Paris","airport","OurAirports" 7464,"Bildudalur Airport","Bildudalur","Iceland","BIU","BIBD",65.64129638671875,-23.546199798583984,18,0,"N","Atlantic/Reykjavik","airport","OurAirports" 7465,"Gjögur Airport","Gjogur","Iceland","GJR","BIGJ",65.99530029296875,-21.326900482177734,83,0,"N","Atlantic/Reykjavik","airport","OurAirports" 7466,"Sauðárkrókur Airport","Saudarkrokur","Iceland","SAK","BIKR",65.73169708249999,-19.572799682599996,8,0,"N","Atlantic/Reykjavik","airport","OurAirports" 7467,"Selfoss Airport","Selfoss","Iceland",\N,"BISF",63.92919921875,-21.037799835205078,45,0,"N","Atlantic/Reykjavik","airport","OurAirports" 7468,"Inishmaan Aerodrome","Inishmaan","Ireland","IIA","EIMN",53.09299850463867,-9.568059921264648,15,0,"U","Europe/Dublin","airport","OurAirports" 7469,"Ak Bashat Airport","Taldykorgan","Kazakhstan",\N,"UAAT",42.88958,73.602004,0,6,"U","Asia/Bishkek","airport","OurAirports" 7470,"Ulgii Mongolei Airport","Olgii","Mongolia","ULG","ZMUL",48.9933013916,89.9225006104,5732,7,"U","Asia/Hovd","airport","OurAirports" 7472,"Qurghonteppa International Airport","Kurgan Tyube","Tajikistan","KQT","UTDT",37.86640167236328,68.86470031738281,1473,5,"U","Asia/Dushanbe","airport","OurAirports" 7473,"Vologda Airport","Vologda","Russia","VGD","ULWW",59.282501220703125,39.944400787353516,387,3,"N","Europe/Moscow","airport","OurAirports" 7474,"Severo-Evensk Airport","Evensk","Russia",\N,"UHMW",61.92166519165039,159.22999572753906,0,11,"N","Asia/Srednekolymsk","airport","OurAirports" 7475,"Olenyok Airport","Olenyok","Russia","ONK","UERO",68.514999,112.480003,847,9,"N","Asia/Yakutsk","airport","OurAirports" 7476,"Saskylakh Airport","Saskylakh","Russia","SYS","UERS",71.92790222168,114.08000183105,0,9,"N","Asia/Yakutsk","airport","OurAirports" 7480,"Leshukonskoye Airport","Arkhangelsk","Russia","LDG","ULAL",64.8960037231,45.7229995728,220,3,"N","Europe/Moscow","airport","OurAirports" 7481,"Nizhneangarsk Airport","Nizhneangarsk","Russia",\N,"UIUN",55.80080032348633,109.59500122070312,1545,8,"N","Asia/Irkutsk","airport","OurAirports" 7483,"Vanavara Airport","Vanavara","Russia",\N,"UNIW",60.35969924926758,102.3239974975586,892,7,"N","Asia/Krasnoyarsk","airport","OurAirports" 7484,"Aykhal Airport","Aykhal","Russia",\N,"UERA",65.959197998047,111.54650115967,0,9,"N","Asia/Yakutsk","airport","OurAirports" 7485,"Uktus Airport","Yekaterinburg","Russia",\N,"USSK",56.701698303222656,60.790000915527344,643,5,"N","Asia/Yekaterinburg","airport","OurAirports" 7486,"Baykit Airport","Baykit","Russia",\N,"UNIB",61.676700592041016,96.3550033569336,853,7,"N","Asia/Krasnoyarsk","airport","OurAirports" 7487,"Biysk Airport","Biysk","Russia",\N,"UNBI",52.47999954223633,85.33999633789062,620,7,"N","Asia/Krasnoyarsk","airport","OurAirports" 7488,"Huesca/Pirineos Airport","Huesca","Spain","HSK","LEHC",42.0760993958,-0.316666990519,1768,1,"U","Europe/Madrid","airport","OurAirports" 7489,"Ciudad Real Central Airport","Ciudad Real","Spain","CQM","LERL",38.8563888889,-3.97,0,1,"U","Europe/Madrid","airport","OurAirports" 7490,"Al Najaf International Airport","Najaf","Iraq","NJF","ORNI",31.989853,44.404317,103,3,"U","Asia/Baghdad","airport","OurAirports" 7492,"Colonsay Airstrip","Colonsay","United Kingdom","CSA","EGEY",56.0574989319,-6.243060112,44,0,"U","Europe/London","airport","OurAirports" 7494,"Rock Hill - York County Airport","Rock Hill","United States","RKH","KUZA",34.9878006,-81.05719757,666,-5,"A","America/New_York","airport","OurAirports" 7495,"Allegheny County Airport","Pittsburgh","United States","AGC","KAGC",40.354400634765625,-79.9301986694336,1252,-5,"A","America/New_York","airport","OurAirports" 7496,"Cecil Airport","Jacksonville","United States","VQQ","KVQQ",30.2187004089,-81.876701355,81,-5,"A","America/New_York","airport","OurAirports" 7497,"Fulton County Airport Brown Field","Atlanta","United States","FTY","KFTY",33.7790985107,-84.5214004517,841,-5,"A","America/New_York","airport","OurAirports" 7498,"Tresco Heliport","Tresco","United Kingdom",\N,"EGHT",49.94559860229492,-6.331389904022217,20,0,"U","Europe/London","airport","OurAirports" 7499,"Tarin Kowt Airport","Tarin Kowt","Afghanistan","TII","OATN",32.604198455799995,65.8657989502,4429,4.5,"U","Asia/Kabul","airport","OurAirports" 7500,"Zaranj Airport","Zaranj","Afghanistan","ZAJ","OAZJ",30.972222,61.865833,1572,4.5,"U","Asia/Kabul","airport","OurAirports" 7501,"Chakcharan Airport","Chaghcharan","Afghanistan","CCN","OACC",34.53300094604492,65.26699829101562,7383,4.5,"U","Asia/Kabul","airport","OurAirports" 7503,"Fuyang Xiguan Airport","Fuyang","China","FUG","ZSFY",32.882157,115.734364,104,8,"U","Asia/Shanghai","airport","OurAirports" 7504,"Longyan Guanzhishan Airport","Longyan","China","LCX","ZSLD",25.6746997833,116.747001648,1225,8,"U","Asia/Shanghai","airport","OurAirports" 7505,"Baoshan Yunduan Airport","Baoshan","China","BSD","ZPBS",25.053301,99.168297,5453,8,"U","Asia/Shanghai","airport","OurAirports" 7506,"Xingyi Airport","Xingyi","China","ACX","ZUYI",25.0863888889,104.959444444,4150,8,"U","Asia/Shanghai","airport","OurAirports" 7508,"Liping Airport","Liping","China","HZH","ZUNP",26.32217,109.1499,1620,8,"U","Asia/Shanghai","airport","OurAirports" 7510,"Stepanakert Air Base","Stepanakert","Azerbaijan",\N,"UB13",39.90140151977539,46.7869987487793,2001,4,"E","Asia/Baku","airport","OurAirports" 7511,"The Ohio State University Airport - Don Scott Field","Columbus","United States","OSU","KOSU",40.0798,-83.072998,905,-5,"U","America/New_York","airport","OurAirports" 7513,"Addison Airport","Addison","United States","ADS","KADS",32.9686012268,-96.8364028931,644,-6,"A","America/Chicago","airport","OurAirports" 7514,"Destin Executive Airport","Destin","United States","DSI","KDTS",30.40010071,-86.47149658,23,-6,"A","America/Chicago","airport","OurAirports" 7516,"Kherson International Airport","Kherson","Ukraine","KHE","UKOH",46.6758,32.506401,148,2,"E","Europe/Kiev","airport","OurAirports" 7517,"Ryan's Creek Aerodrome","Stewart Island","New Zealand","SZS","NZRC",-46.8997,168.100998,62,12,"U","Pacific/Auckland","airport","OurAirports" 7518,"Assumption Island Airport","Assumption Island","Seychelles",\N,"FSAS",-9.7422199993,46.506802,10,4,"U","Indian/Mahe","airport","OurAirports" 7519,"Zhijiang Airport","Zhijiang","China","HJJ","ZGCJ",27.4411111111,109.7,882,8,"U","Asia/Shanghai","airport","OurAirports" 7521,"Yarmouth Airport","Yarmouth","Canada","YQI","CYQI",43.826900482177734,-66.08809661865234,141,-4,"A","America/Halifax","airport","OurAirports" 7522,"Kinston Regional Jetport At Stallings Field","Kinston","United States","ISO","KISO",35.331401825,-77.60880279540001,93,-5,"A","America/New_York","airport","OurAirports" 7523,"First Flight Airport","Kill Devil Hills","United States","FFA","KFFA",36.0181999207,-75.67130279540001,13,-5,"A","America/New_York","airport","OurAirports" 7527,"Lintsang Airfield","Lincang","China","LNJ","ZPLC",23.738100051900002,100.025001526,6230,8,"U","Asia/Shanghai","airport","OurAirports" 7531,"Maturacá Airport","Maturaca","Brazil",\N,"SWMK",0.6282690167427063,-66.11509704589844,354,-4,"S","America/Boa_Vista","airport","OurAirports" 7532,"Carajás Airport","Parauapebas","Brazil","CKS","SBCJ",-6.11527776718,-50.0013885498,2064,-3,"S","America/Belem","airport","OurAirports" 7533,"Centro de Lançamento de Alcântara Airport","Alcantara","Brazil",\N,"SNCW",-2.372999906539917,-44.396400451660156,148,-3,"S","America/Fortaleza","airport","OurAirports" 7536,"Tarempa Airport","Anambas Islands","Indonesia","MWK","WIOM",3.3481199741363525,106.25800323486328,10,7,"N","Asia/Jakarta","airport","OurAirports" 7538,"Würzburg-Schenkenturm Airport","Wuerzburg","Germany",\N,"EDFW",49.81778,9.8975,991,1,"E","Europe/Berlin","airport","OurAirports" 7542,"São Jacinto Airport","Aveiro","Portugal",\N,"LPAV",40.656741,-8.741544,26,0,"E","Europe/Lisbon","airport","OurAirports" 7544,"Hopsten Air Base","Hopsten","Germany",\N,"ETNP",52.33869934082031,7.541329860687256,423,1,"E","Europe/Berlin","airport","OurAirports" 7546,"Persian Gulf International Airport","Khalije Fars","Iran","PGU","OIBP",27.379601,52.737701,27,3.5,"U","Asia/Tehran","airport","OurAirports" 7547,"Yasouj Airport","Yasuj","Iran","YES","OISY",30.700500488281,51.545101165771,5939,3.5,"U","Asia/Tehran","airport","OurAirports" 7548,"Mosul International Airport","Mosul","Iraq","OSM","ORBM",36.305801,43.1474,719,3,"U","Asia/Baghdad","airport","OurAirports" 7549,"Tajima Airport","Toyooka","Japan","TJH","RJBT",35.51279830932617,134.78700256347656,584,9,"U","Asia/Tokyo","airport","OurAirports" 7550,"Amakusa Airport","Amakusa","Japan","AXJ","RJDA",32.482498,130.158997,340,9,"U","Asia/Tokyo","airport","OurAirports" 7551,"Kikai Airport","Kikai","Japan","KKX","RJKI",28.321300506599997,129.927993774,21,9,"U","Asia/Tokyo","airport","OurAirports" 7552,"Aguni Airport","Aguni","Japan","AGJ","RORA",26.5925006866,127.240997314,38,9,"U","Asia/Tokyo","airport","OurAirports" 7556,"Donoi Airport","Uliastai","Mongolia","ULZ","ZMDN",47.7093,96.5258,5800,8,"U","Asia/Ulaanbaatar","airport","OurAirports" 7557,"Bulgan Airport","Bulgan","Mongolia","UGA","ZMBN",48.85499954223633,103.47599792480469,4311,8,"U","Asia/Ulaanbaatar","airport","OurAirports" 7558,"Ulaangom Airport","Ulaangom","Mongolia","ULO","ZMUG",50.066588,91.938273,0,7,"U","Asia/Hovd","airport","OurAirports" 7559,"Borongan Airport","Borongan","Philippines",\N,"RPVW",11.674300193799999,125.478996277,7,8,"N","Asia/Manila","airport","OurAirports" 7560,"Lubang Airport","Lubang","Philippines","LBX","RPLU",13.855400085449219,120.1050033569336,43,8,"N","Asia/Manila","airport","OurAirports" 7563,"Kulob Airport","Kulyab","Tajikistan","TJU","UTDK",37.98809814453125,69.80500030517578,2293,5,"U","Asia/Dushanbe","airport","OurAirports" 7564,"Chi Mei Airport","Cimei","Taiwan","CMJ","RCCM",23.2131004333,119.417999268,63,8,"U","Asia/Taipei","airport","OurAirports" 7565,"DaÅŸoguz Airport","Dasoguz","Turkmenistan","TAZ","UTAT",41.761101,59.826698,272,5,"U","Asia/Ashgabat","airport","OurAirports" 7566,"Barrow Island Airport","Barrow Island","Australia","BWB","YBWX",-20.86440086364746,115.40599822998047,26,8,"U","Australia/Perth","airport","OurAirports" 7569,"Derby Airport","Derby","Australia","DRB","YDBY",-17.3700008392334,123.66100311279297,24,8,"U","Australia/Perth","airport","OurAirports" 7570,"Walgett Airport","Walgett","Australia","WGE","YWLG",-30.032800674438477,148.12600708007812,439,10,"U","Australia/Sydney","airport","OurAirports" 7571,"Bathurst Island Airport","Bathurst Island","Australia","BRT","YBTI",-11.769200325012207,130.6199951171875,67,9.5,"U","Australia/Darwin","airport","OurAirports" 7572,"Dunk Island Airport","Dunk Island","Australia","DKI","YDKI",-17.9416999817,146.13999939,6,10,"U","Australia/Brisbane","airport","OurAirports" 7573,"Lizard Island Airport","Lizard Island","Australia","LZR","YLZI",-14.673273,145.454571,70,10,"O","Australia/Brisbane","airport","OurAirports" 7574,"Hamilton Airport","Hamilton","Australia","HLT","YHML",-37.64889907836914,142.06500244140625,803,10,"O","Australia/Hobart","airport","OurAirports" 7575,"Halls Creek Airport","Halls Creek","Australia","HCQ","YHLC",-18.23390007019043,127.66999816894531,1346,8,"U","Australia/Perth","airport","OurAirports" 7576,"Fitzroy Crossing Airport","Fitzroy Crossing","Australia","FIZ","YFTZ",-18.181900024414062,125.55899810791016,368,8,"U","Australia/Perth","airport","OurAirports" 7577,"Ravensthorpe Airport","Ravensthorpe","Australia","RVT","YNRV",-33.7971992493,120.208000183,197,8,"U","Australia/Perth","airport","OurAirports" 7578,"Wilkins Runway","Budd Coast","Antarctica",\N,"YWKS",-66.690833,111.523611,2529,12,"U","Antarctica/South_Pole","airport","OurAirports" 7579,"Provo Municipal Airport","Provo","United States","PVU","KPVU",40.219200134277,-111.72299957275,4497,-7,"A","America/Denver","airport","OurAirports" 7580,"Steamboat Springs Bob Adams Field","Steamboat Springs","United States","SBS","KSBS",40.5163002,-106.8659973,6882,-7,"A","America/Denver","airport","OurAirports" 7581,"Delta Municipal Airport","Delta","United States","DTA","KDTA",39.3805999756,-112.508003235,4759,-7,"A","America/Denver","airport","OurAirports" 7582,"Richfield Municipal Airport","Richfield","United States",\N,"KRIF",38.73640060424805,-112.0989990234375,5301,-7,"A","America/Denver","airport","OurAirports" 7583,"Carbon County Regional/Buck Davis Field","Price","United States","PUC","KPUC",39.61389923,-110.7509995,5957,-7,"A","America/Denver","airport","OurAirports" 7584,"Los Alamos Airport","Los Alamos","United States","LAM","KLAM",35.8797988892,-106.268997192,7171,-7,"A","America/Denver","airport","OurAirports" 7586,"Lake Havasu City Airport","Lake Havasu City","United States","HII","KHII",34.571098,-114.358002,783,-7,"N","America/Phoenix","airport","OurAirports" 7587,"Winslow Lindbergh Regional Airport","Winslow","United States","INW","KINW",35.021900177,-110.722999573,4941,-7,"N","America/Phoenix","airport","OurAirports" 7588,"Douglas Municipal Airport","Douglas","United States","DGL","KDGL",31.3425998688,-109.505996704,4173,-7,"N","America/Phoenix","airport","OurAirports" 7589,"Marakei Airport","Marakei","Kiribati","MZK","NGMK",2.058609962463379,173.27099609375,10,12,"U","Pacific/Tarawa","airport","OurAirports" 7590,"Abemama Atoll Airport","Abemama","Kiribati","AEA","NGTB",0.49083301424980164,173.82899475097656,8,12,"U","Pacific/Tarawa","airport","OurAirports" 7591,"Buariki Airport","Buariki","Kiribati","AAK","NGUK",0.1852779984474182,173.63699340820312,0,10,"U",\N,"airport","OurAirports" 7592,"Kuria Airport","Kuria","Kiribati","KUC","NGKT",0.2186110019683838,173.44200134277344,0,12,"U","Pacific/Tarawa","airport","OurAirports" 7593,"Arorae Island Airport","Arorae","Kiribati","AIS","NGTR",-2.61611008644104,176.80299377441406,0,12,"U","Pacific/Tarawa","airport","OurAirports" 7594,"Tamana Island Airport","Tamana","Kiribati","TMN","NGTM",-2.485830068588257,175.97000122070312,0,12,"U","Pacific/Tarawa","airport","OurAirports" 7595,"Beru Airport","Beru Island","Kiribati","BEZ","NGBR",-1.3547199964523315,176.0070037841797,6,12,"U","Pacific/Tarawa","airport","OurAirports" 7596,"Nikunau Airport","Nikunau","Kiribati","NIG","NGNU",-1.31444001198,176.410003662,6,12,"U","Pacific/Tarawa","airport","OurAirports" 7597,"Butaritari Atoll Airport","Butaritari","Kiribati","BBG","NGTU",3.08583,172.811005,5,12,"U","Pacific/Tarawa","airport","OurAirports" 7598,"Makin Island Airport","Makin","Kiribati","MTK","NGMN",3.3744399547576904,172.99200439453125,0,12,"U","Pacific/Tarawa","airport","OurAirports" 7599,"Maiana Airport","Maiana","Kiribati","MNK","NGMA",1.0036100149154663,173.031005859375,8,12,"U","Pacific/Tarawa","airport","OurAirports" 7600,"Nonouti Airport","Nonouti","Kiribati","NON","NGTO",-0.6397219896316528,174.42799377441406,10,12,"U","Pacific/Tarawa","airport","OurAirports" 7601,"Tabiteuea South Airport","Tabiteuea","Kiribati","TSU","NGTS",-1.4744399785995483,175.06399536132812,0,12,"U","Pacific/Tarawa","airport","OurAirports" 7610,"Whitianga Airport","Whitianga","New Zealand","WTZ","NZWT",-36.83169937133789,175.6790008544922,10,12,"U","Pacific/Auckland","airport","OurAirports" 7611,"Takaka Airport","Takaka","New Zealand","KTF","NZTK",-40.81330108642578,172.77499389648438,102,12,"U","Pacific/Auckland","airport","OurAirports" 7615,"Afutara Aerodrome","Afutara","Solomon Islands","AFT","AGAF",-9.19138888889,160.948611111,23,11,"U","Pacific/Guadalcanal","airport","OurAirports" 7616,"Ulawa Airport","Ulawa","Solomon Islands","RNA","AGAR",-9.86054358262,161.979546547,40,11,"U","Pacific/Guadalcanal","airport","OurAirports" 7617,"Choiseul Bay Airport","Choiseul Bay","Solomon Islands","CHY","AGGC",-6.711944,156.396111,0,11,"U","Pacific/Guadalcanal","airport","OurAirports" 7618,"Santa Ana Airport","Santa Ana","Solomon Islands","NNB","AGGT",-10.847994,162.454108,3,11,"U","Pacific/Guadalcanal","airport","OurAirports" 7619,"Yandina Airport","Yandina","Solomon Islands","XYA","AGGY",-9.092816,159.21841,60,11,"U","Pacific/Guadalcanal","airport","OurAirports" 7620,"Batuna Aerodrome","Batuna","Solomon Islands","BPF","AGBT",-8.56202777778,158.119305556,24,11,"U","Pacific/Guadalcanal","airport","OurAirports" 7621,"Bartow Municipal Airport","Bartow","United States","BOW","KBOW",27.943399429299998,-81.78340148930002,125,-5,"U","America/New_York","airport","OurAirports" 7622,"Dyagilevo Air Base","Kostroma","Russia",\N,"UUBD",54.64469909667969,39.57040023803711,440,3,"N","Europe/Moscow","airport","OurAirports" 7627,"Fitiuta Airport","Fiti\'uta","American Samoa","FTI","NSFQ",-14.2172,-169.425003,110,-11,"U","Pacific/Pago_Pago","airport","OurAirports" 7629,"Livermore Municipal Airport","Livermore","United States","LVK","KLVK",37.6934013367,-121.819999695,400,-8,"A","America/Los_Angeles","airport","OurAirports" 7630,"Mariposa Yosemite Airport","Mariposa","United States","RMY","KMPI",37.5108985901,-120.040000916,2254,-8,"A","America/Los_Angeles","airport","OurAirports" 7633,"Grootfontein Airport","Grootfontein","Namibia","GFY","FYGF",-19.60219955444336,18.122699737548828,4636,1,"S","Africa/Windhoek","airport","OurAirports" 7634,"Rundu Airport","Rundu","Namibia","NDU","FYRU",-17.956499099731,19.719400405884,3627,1,"S","Africa/Windhoek","airport","OurAirports" 7642,"Tasiilaq Heliport","Angmagssalik","Greenland",\N,"BGAM",65.612296,-37.618335,24,-3,"U","America/Godthab","airport","OurAirports" 7646,"Jacqueline Cochran Regional Airport","Palm Springs","United States","TRM","KTRM",33.62670135498,-116.16000366211,-115,-8,"A","America/Los_Angeles","airport","OurAirports" 7647,"Santa Monica Municipal Airport","Santa Monica","United States","SMO","KSMO",34.015800476100004,-118.450996399,177,-8,"A","America/Los_Angeles","airport","OurAirports" 7648,"Bermuda Dunes Airport","Palm Springs","United States","UDD","KUDD",33.748401641846,-116.27500152588,73,-8,"A","America/Los_Angeles","airport","OurAirports" 7649,"Scottsdale Airport","Scottsdale","United States","SCF","KSDL",33.622898101807,-111.91100311279,1510,-7,"A","America/Phoenix","airport","OurAirports" 7650,"Olympia Regional Airport","Olympia","United States","OLM","KOLM",46.9693985,-122.9029999,209,-8,"A","America/Los_Angeles","airport","OurAirports" 7651,"Yolo County Davis Woodland Winters Airport","Davis-Woodland-Winters","United States",\N,"KDWA",38.57910156,-121.8570023,100,-8,"A","America/Los_Angeles","airport","OurAirports" 7652,"Garfield County Regional Airport","Rifle","United States","RIL","KRIL",39.526299,-107.726997,5548,-7,"A","America/Denver","airport","OurAirports" 7653,"Shively Field","SARATOGA","United States","SAA","KSAA",41.444901,-106.823997,7012,-7,"A","America/Denver","airport","OurAirports" 7654,"DeKalb Peachtree Airport","Atlanta","United States","PDK","KPDK",33.8755989075,-84.3020019531,1003,-5,"A","America/New_York","airport","OurAirports" 7655,"Monroe County Airport","Bloomington","United States","BMG","KBMG",39.145999908447266,-86.61669921875,846,-5,"A","America/New_York","airport","OurAirports" 7656,"Witham Field","Stuart","United States","SUA","KSUA",27.18169975,-80.22109985,16,-5,"A","America/New_York","airport","OurAirports" 7657,"Morristown Municipal Airport","Morristown","United States","MMU","KMMU",40.799400329589844,-74.41490173339844,187,-5,"A","America/New_York","airport","OurAirports" 7658,"Napa County Airport","Napa","United States","APC","KAPC",38.2132,-122.280998,35,-8,"A","America/Los_Angeles","airport","OurAirports" 7659,"Brown Field Municipal Airport","San Diego","United States","SDM","KSDM",32.572299957275,-116.98000335693,526,-8,"A","America/Los_Angeles","airport","OurAirports" 7660,"Wangen-Lachen Airport","Wangen-Lachen","Switzerland",\N,"LSPV",47.2047,8.8675,1335,1,"U","Europe/Zurich","airport","OurAirports" 7662,"Venice Municipal Airport","Venice","United States","VNC","KVNC",27.071599960327,-82.440299987793,18,-5,"A","America/New_York","airport","OurAirports" 7663,"Palm Beach County Glades Airport","Pahokee","United States","PHK","KPHK",26.78499985,-80.69339752,16,-5,"A","America/New_York","airport","OurAirports" 7669,"Northwest Florida Beaches International Airport","Panama City","United States","ECP","KECP",30.357106,-85.795414,69,-6,"A","America/Chicago","airport","OurAirports" 7670,"San Bernardino International Airport","San Bernardino","United States","SBD","KSBD",34.0954017639,-117.23500061,1159,-8,"A","America/Los_Angeles","airport","OurAirports" 7671,"Valença Airport","Valenca","Brazil","VAL","SNVB",-13.2965,-38.992401,21,-3,"S","America/Fortaleza","airport","OurAirports" 7673,"Caruaru Airport","Caruaru","Brazil","CAU","SNRU",-8.282389640808105,-36.01350021362305,1891,-3,"S","America/Fortaleza","airport","OurAirports" 7674,"Wake Island Airfield","Wake island","Wake Island","AWK","PWAK",19.282100677490234,166.63600158691406,14,-10,"U","Pacific/Johnston","airport","OurAirports" 7675,"Aeroclube Airport","Nova Iguacu","Brazil","QNV","SDNY",-22.74530029296875,-43.46030044555664,164,-3,"S","America/Sao_Paulo","airport","OurAirports" 7683,"San Carlos Airport","San Carlos","United States","SQL","KSQL",37.511901855469,-122.25,5,-8,"A","America/Los_Angeles","airport","OurAirports" 7684,"Courtelary Airport","Courtelary ","Switzerland",\N,"LSZJ",47.18360137939453,7.090829849243164,2247,1,"E","Europe/Zurich","airport","OurAirports" 7685,"Lotnisko Korne","Koszalin","Poland",\N,"EPKO",54.129583,17.844972,515,1,"E","Europe/Warsaw","airport","OurAirports" 7686,"Camp Okavango Airport","Okavango Delta","Botswana",\N,"FBCO",-19.131115,23.102505,3158,2,"U","Africa/Gaborone","airport","OurAirports" 7690,"Rocky Mount Wilson Regional Airport","Rocky Mount","United States","RWI","KRWI",35.856300354003906,-77.89189910888672,159,-5,"A","America/New_York","airport","OurAirports" 7691,"Whittier Airport","Whittier","United States",\N,"PAWR",60.777198791503906,-148.7220001220703,30,-9,"U","America/Anchorage","airport","OurAirports" 7692,"Soldotna Airport","Soldotna","United States","SXQ","PASX",60.47570037841797,-151.03399658203125,113,-9,"U","America/Anchorage","airport","OurAirports" 7693,"Gillespie Field","El Cajon","United States","SEE","KSEE",32.826198577881,-116.97200012207,388,-8,"A","America/Los_Angeles","airport","OurAirports" 7694,"San Clemente Island Naval Auxiliary Landing Field","San Clemente Island","United States",\N,"KNUC",33.02270126,-118.5879974,184,-8,"A","America/Los_Angeles","airport","OurAirports" 7700,"Phan Rang Airport","Phan Rang","Vietnam","PHA","VVPR",11.6335000992,108.952003479,101,7,"N","Asia/Saigon","airport","OurAirports" 7701,"Na-San Airport","Son-La","Vietnam","SQH","VVNS",21.216999053955078,104.03299713134766,2133,7,"N","Asia/Saigon","airport","OurAirports" 7702,"Truckee Tahoe Airport","Truckee","United States","TKF","KTRK",39.319999694799996,-120.13999939,5900,-8,"A","America/Los_Angeles","airport","OurAirports" 7703,"Fréjus Airport","Frejus","France","FRJ","LFTU",43.4175,6.7357,33,1,"E","Europe/Paris","airport","OurAirports" 7704,"Geelong Airport","Geelong","Australia","GEX","YGLG",-38.224998474121094,144.33299255371094,43,10,"O","Australia/Hobart","airport","OurAirports" 7710,"Mezen Airport","Mezen","Russia",\N,"ULAE",65.87833404541016,44.21500015258789,46,3,"N","Europe/Moscow","airport","OurAirports" 7711,"Vaskovo Airport","Arkhangelsk","Russia",\N,"ULAH",64.44170379639999,40.421699523899996,82,3,"N","Europe/Moscow","airport","OurAirports" 7712,"Cobb County-Mc Collum Field","Atlanta","United States",\N,"KRYY",34.01319885,-84.59860229,1040,-5,"A","America/New_York","airport","OurAirports" 7714,"Brumowski Air Base","Tulln","Austria",\N,"LOXT",48.3167,16.116699,574,1,"U","Europe/Vienna","airport","OurAirports" 7716,"Dell Flight Strip","Dell","United States",\N,"K4U9",44.7356987,-112.720001221,6007,-7,"A","America/Denver","airport","OurAirports" 7717,"Mission Field","Livingston-Montana","United States","LVM","KLVM",45.6994018555,-110.447998047,4660,-7,"A","America/Denver","airport","OurAirports" 7720,"Big Timber Airport","Big Timber","United States",\N,"K6S0",45.806400299072266,-109.98100280761719,4492,-7,"A","America/Denver","airport","OurAirports" 7721,"Tulip City Airport","Holland","United States",\N,"KBIV",42.742900848389,-86.107398986816,698,-5,"A","America/New_York","airport","OurAirports" 7722,"London Heliport","London","United Kingdom",\N,"EGLW",51.46972274779999,-0.179444000125,18,0,"E","Europe/London","airport","OurAirports" 7723,"Venice-Lido Airport","Venice","Italy",\N,"LIPV",45.428299,12.3881,13,1,"E","Europe/Rome","airport","OurAirports" 7724,"Tallinn Linnahall Heliport","Tallinn","Estonia",\N,"EECL",59.4486198425293,24.75322723388672,23,2,"E","Europe/Tallinn","airport","OurAirports" 7725,"Hernesaari Heliport","Helsinki","Finland",\N,"EFHE",60.14777755737305,24.9244441986084,7,2,"E","Europe/Helsinki","airport","OurAirports" 7726,"Linkenheim Airport","Linkenheim","Germany",\N,"EDRI",49.141666412353516,8.394721984863281,325,1,"E","Europe/Berlin","airport","OurAirports" 7727,"Monument Valley Airport","Monument Valley","United States","GMV","UT25",37.016700744599994,-110.200996399,5192,-7,"U","America/Denver","airport","OurAirports" 7728,"Hilversum Airfield","Hilversum","Netherlands",\N,"EHHV",52.191898,5.14694,3,1,"E","Europe/Amsterdam","airport","OurAirports" 7729,"West 30th St. Heliport","New York","United States","JRA","KJRA",40.754501,-74.007103,7,-5,"A","America/New_York","airport","OurAirports" 7730,"Texel Airfield","Texel","Netherlands",\N,"EHTX",53.115299,4.83361,2,1,"E","Europe/Amsterdam","airport","OurAirports" 7731,"La Cerdanya Airport","Das i Fontanals de Cerdanya","Spain",\N,"LECD",42.38639831542969,1.86667001247406,3586,1,"E","Europe/Madrid","airport","OurAirports" 7732,"Lakeland Linder International Airport","Lakeland","United States","LAL","KLAL",27.988899,-82.018602,142,-5,"A","America/New_York","airport","OurAirports" 7738,"Stary Oskol Airport","Stary Oskol","Russia",\N,"UUOS",51.32921600341797,37.76884841918945,791,3,"N","Europe/Moscow","airport","OurAirports" 7766,"Syangboche Airport","Syangboche","Nepal","SYH","VNSB",27.8112,86.7124,12400,5.75,"N","Asia/Katmandu","airport","OurAirports" 7767,"Indianola Municipal Airport","New York","United States",\N,"KIDL",33.485699,-90.678902,126,-6,"A","America/Chicago","airport","OurAirports" 7768,"Cheremshanka Airport","Krasnoyarsk","Russia",\N,"UNKM",56.176998138399995,92.5400009155,0,7,"N","Asia/Krasnoyarsk","airport","OurAirports" 7769,"French Valley Airport","Murrieta-Temecula","United States","RBK","KF70",33.5741996765,-117.127998352,1350,-8,"A","America/Los_Angeles","airport","OurAirports" 7772,"Oristano-Fenosu Airport","Oristano","Italy","FNU","LIER",39.895308,8.642661,36,1,"E","Europe/Rome","airport","OurAirports" 7773,"White Waltham Airfield","Maidenhead","United Kingdom",\N,"EGLM",51.500801086399996,-0.774443984032,131,0,"E","Europe/London","airport","OurAirports" 7774,"Mysore Airport","Mysore","India","MYQ","VOMY",12.23,76.655833,2349,5.5,"U","Asia/Calcutta","airport","OurAirports" 7775,"Carl R Keller Field","Port Clinton","United States",\N,"KPCW",41.516300201416016,-82.86869812011719,590,-5,"U","America/New_York","airport","OurAirports" 7776,"Dayton-Wright Brothers Airport","Dayton","United States","MGY","KMGY",39.5890007019,-84.224899292,957,-5,"U","America/New_York","airport","OurAirports" 7777,"Richmond Municipal Airport","Richmond","United States",\N,"KRID",39.757198333740234,-84.8427963256836,1140,-5,"U","America/New_York","airport","OurAirports" 7778,"Findlay Airport","Findley","United States","FDY","KFDY",41.013500213600004,-83.66870117190001,813,-5,"U","America/New_York","airport","OurAirports" 7780,"Burlington Executive","Burlington","Canada",\N,"CZBA",43.4414531515,-79.850102663,602,-5,"A","America/Toronto","airport","OurAirports" 7782,"Penneshaw Airport","Penneshaw","Australia","PEA","YPSH",-35.7558462874,137.962875366,0,9.5,"O","Australia/Adelaide","airport","OurAirports" 7787,"Engels heliport","Ebenhofen","Germany",\N,"EBEN",51.211666107177734,4.5808329582214355,33,1,"E","Europe/Brussels","airport","OurAirports" 7792,"Emporia Municipal Airport","Kempten","Germany","EMP","KEMP",38.3320999146,-96.19120025630001,1208,-6,"E","America/Chicago","airport","OurAirports" 7800,"SkÃ¥-Edeby Airport","Essen","Germany",\N,"ESSE",59.34510040283203,17.74049949645996,0,1,"E","Europe/Stockholm","airport","OurAirports" 7804,"Wycombe Air Park","Wycombe","United Kingdom","HYC","EGTB",51.6116981506,-0.8083329796790001,515,0,"E","Europe/London","airport","OurAirports" 7805,"Bembridge Airport","Bembridge","United Kingdom","BBP","EGHJ",50.6781005859,-1.10943996906,53,0,"E","Europe/London","airport","OurAirports" 7806,"Waterville / Kings County Municipal Airport","Waterville","Canada",\N,"CCW3",45.0518989563,-64.6517028809,119,-4,"A","America/Halifax","airport","OurAirports" 7809,"Black Hills Airport-Clyde Ice Field","Spearfish-South Dakota","United States","SPF","KSPF",44.48030090332,-103.78299713135,3931,-7,"A","America/Denver","airport","OurAirports" 7810,"Westkapelle heliport","Knokke","Belgium",\N,"EBKW",51.32222366333,3.2930560112,10,1,"U","Europe/Brussels","airport","OurAirports" 7811,"Redcliffe Airport","Rothwell","Australia",\N,"YRED",-27.20669937133789,153.0679931640625,2,10,"U","Australia/Brisbane","airport","OurAirports" 7812,"Oksywie Military Air Base","Gdynia","Poland","QYD","EPOK",54.57970047,18.51720047,144,1,"E","Europe/Warsaw","airport","OurAirports" 7813,"Malbork Military Air Base","Malbork","Poland",\N,"EPMB",54.0269012451,19.134199142499998,16,1,"E","Europe/Warsaw","airport","OurAirports" 7814,"Lask Military Air Base","Lask","Poland",\N,"EPLK",51.551700592,19.179100036599998,633,1,"E","Europe/Warsaw","airport","OurAirports" 7815,"Miroslawiec Military Air Base","Miroslawiec","Poland",\N,"EPMI",53.395099639899996,16.0827999115,459,1,"E","Europe/Warsaw","airport","OurAirports" 7816,"Krzesiny Military Air Base","Poznan","Poland",\N,"EPKS",52.3316993713,16.9664001465,265,1,"E","Europe/Warsaw","airport","OurAirports" 7817,"Olive Branch Airport","Olive Branch","United States","OLV","KOLV",34.9786987305,-89.78690338130001,402,-6,"A","America/Chicago","airport","OurAirports" 7818,"Viña del mar Airport","Vina del Mar","Chile","KNA","SCVM",-32.9496,-71.4786,461,-4,"S","America/Santiago","airport","OurAirports" 7820,"Brampton Airport","Brampton","Canada",\N,"CNC3",43.7602996826,-79.875,935,-5,"A","America/Toronto","airport","OurAirports" 7821,"Zonguldak Airport","Zonguldak","Turkey","ONQ","LTAS",41.506401062,32.0886001587,39,3,"E","Europe/Istanbul","airport","OurAirports" 7822,"Rocky Mountain Metropolitan Airport","Broomfield-CO","United States","BJC","KBJC",39.90879822,-105.1169968,5673,-7,"A","America/Denver","airport","OurAirports" 7826,"Salem Municipal Airport/McNary Field","Salem","United States","SLE","KSLE",44.90950012,-123.0029984,214,-8,"A","America/Los_Angeles","airport","OurAirports" 7827,"Tunica Municipal Airport","Tunica","United States","UTM","KUTA",34.680999755859,-90.346702575684,194,-6,"A","America/Chicago","airport","OurAirports" 7828,"Batken Airport","Batken","Kyrgyzstan",\N,"UA30",40.042899,70.83784,3517,6,"E","Asia/Bishkek","airport","OurAirports" 7830,"Kasaba Bay Airport","Kasaba Bay","Zambia","ZKB","FLKY",-8.524999618530273,30.663000106811523,2780,2,"U","Africa/Lusaka","airport","OurAirports" 7831,"Hunt Field","Lindau","Germany","LND","KLND",42.8152008057,-108.730003357,5586,-7,"E","America/Denver","airport","OurAirports" 7834,"Hoogeveen Airfield","Hoogeveen","Netherlands",\N,"EHHO",52.730801,6.51611,40,1,"E","Europe/Amsterdam","airport","OurAirports" 7835,"Teuge Airport","Deventer","Netherlands",\N,"EHTE",52.2447013855,6.04666996002,17,1,"E","Europe/Amsterdam","airport","OurAirports" 7836,"Midden-Zeeland Airport","Middelburg","Netherlands",\N,"EHMZ",51.5121994019,3.73111009598,6,1,"E","Europe/Amsterdam","airport","OurAirports" 7837,"Ameland Airfield","Ameland","Netherlands",\N,"EHAL",53.451698,5.67722,11,1,"E","Europe/Amsterdam","airport","OurAirports" 7838,"Saint-Cyr-l'École Airport","Saint-Cyr","France",\N,"LFPZ",48.8114013671875,2.0747199058532715,371,1,"E","Europe/Paris","airport","OurAirports" 7839,"Lawrence J Timmerman Airport","Milwaukee","United States","MWC","KMWC",43.110401,-88.034401,745,-6,"A","America/Chicago","airport","OurAirports" 7840,"Southern Wisconsin Regional Airport","Janesville","United States","JVL","KJVL",42.620300293,-89.0416030884,808,-6,"A","America/Chicago","airport","OurAirports" 7841,"Mantsonyane Airport","Mantsonyane","Lesotho",\N,"FXMN",-29.546100616455078,28.270999908447266,7100,2,"U","Africa/Maseru","airport","OurAirports" 7846,"Arlington Municipal Airport","Arlington","United States",\N,"KGKY",32.66389846801758,-97.09429931640625,628,-6,"A","America/Chicago","airport","OurAirports" 7847,"Gwinnett County Briscoe Field","Lawrenceville","United States","LZU","KLZU",33.97809982,-83.96240234,1061,-5,"A","America/New_York","airport","OurAirports" 7848,"Bowling Green Warren County Regional Airport","Bowling Green","United States","BWG","KBWG",36.964500427199994,-86.41970062259999,547,-6,"A","America/Chicago","airport","OurAirports" 7849,"Richard Lloyd Jones Jr Airport","Tulsa","United States","RVS","KRVS",36.039600372314,-95.984596252441,638,-6,"A","America/Chicago","airport","OurAirports" 7853,"Al Minhad Air Base","Minhad AB","United Arab Emirates","NHD","OMDM",25.0268001556,55.3661994934,165,4,"U","Asia/Dubai","airport","OurAirports" 7854,"Kirovograd Airport","Kirovograd","Ukraine","KGO","UKKG",48.54280090332031,32.28499984741211,568,2,"E","Europe/Kiev","airport","OurAirports" 7855,"Roitzschjora Airfield","Roitzschjora","Germany",\N,"EDAW",51.577778,12.494444,289,1,"U","Europe/Berlin","airport","OurAirports" 7856,"El Alamein International Airport","Dabaa City","Egypt","DBB","HEAL",30.92449951171875,28.46139907836914,143,2,"N","Africa/Cairo","airport","OurAirports" 7857,"Bryce Canyon Airport","Bryce Canyon","United States","BCE","KBCE",37.706401825,-112.144996643,7590,-7,"A","America/Denver","airport","OurAirports" 7859,"Burlington Alamance Regional Airport","Burlington","United States",\N,"KBUY",36.048500061035156,-79.47489929199219,617,-5,"A","America/New_York","airport","OurAirports" 7861,"Chkalovskiy Air Base","Shchyolkovo","Russia","CKL","UUMU",55.8783,38.061699,499,3,"N","Europe/Moscow","airport","OurAirports" 7862,"Tengchong Tuofeng Airport","Tengchong","China","TCZ","ZUTC",24.9380555556,98.48583333330001,6250,8,"N","Asia/Shanghai","airport","OurAirports" 7863,"Belbek Airport","Sevastopol","Ukraine","UKS","UKFB",44.688999176,33.570999145500004,344,3,"U","Europe/Simferopol","airport","OurAirports" 7867,"De Peel Air Base","Deurne","Netherlands",\N,"EHDP",51.51729965209961,5.855720043182373,98,1,"E","Europe/Amsterdam","airport","OurAirports" 7868,"Camp Bastion Airport","Camp Bastion","Afghanistan","OAZ","OAZI",31.863800048799998,64.2246017456,2943,4.5,"N","Asia/Kabul","airport","OurAirports" 7869,"New Century Aircenter Airport","Olathe","United States","JCI","KIXD",38.8308982849,-94.890296936,1087,-6,"A","America/Chicago","airport","OurAirports" 7870,"Easton Newnam Field","Easton","United States","ESN","KESN",38.8041992188,-76.06900024410001,72,-5,"A","America/New_York","airport","OurAirports" 7871,"Stafsberg Airport","Hamar","Norway","HMR","ENHA",60.81809997558594,11.067999839782715,713,1,"E","Europe/Oslo","airport","OurAirports" 7872,"Ringebu Airfield Frya","Frya","Norway",\N,"ENRI",61.545440673,10.061588287,571,1,"E","Europe/Oslo","airport","OurAirports" 7875,"Yuba County Airport","Yuba City","United States","MYV","KMYV",39.09780121,-121.5699997,64,-8,"A","America/Los_Angeles","airport","OurAirports" 7879,"Phillip Island Airport","Phillip Island","Australia",\N,"YPID",-38.52330017089844,145.32699584960938,13,10,"O","Australia/Hobart","airport","OurAirports" 7880,"Halliburton Field","Duncan","United States","DUC","KDUC",34.47090149,-97.9598999,1114,-6,"A","America/Chicago","airport","OurAirports" 7885,"Garner Field","Uvalde","United States","UVA","KUVA",29.2112998962,-99.743598938,942,-6,"A","America/Chicago","airport","OurAirports" 7886,"Lewis University Airport","Lockport","United States","LOT","KLOT",41.6072998,-88.09619904,679,-6,"A","America/Chicago","airport","OurAirports" 7888,"Buchanan Field","Concord","United States","CCR","KCCR",37.9897003174,-122.056999207,26,-8,"A","America/Los_Angeles","airport","OurAirports" 7889,"Ocean Reef Club Airport","Ocean Reef Club Airport","United States","OCA","07FA",25.325399398804,-80.274803161621,8,-5,"A","America/New_York","airport","OurAirports" 7892,"Strasbourg Neuhof Airfield","Strasbourg Neudorf","France",\N,"LFGC",48.554401,7.77806,456,1,"E","Europe/Paris","airport","OurAirports" 7893,"Nannhausen Airport","Nannhausen","Germany",\N,"EDRN",49.9702796936,7.47916698456,1224,1,"E","Europe/Berlin","airport","OurAirports" 7894,"Yushu Batang Airport","Yushu","China","YUS","ZYLS",32.836388888900004,97.0363888889,12816,8,"U","Asia/Shanghai","airport","OurAirports" 7898,"Lianshui Airport","Huai An","China","HIA","ZSSH",33.7908333333,119.125,28,8,"N","Asia/Shanghai","airport","OurAirports" 7902,"Toronto/Oshawa Executive Airport","Oshawa","Canada","YOO","CYOO",43.922798,-78.894997,460,-5,"A","America/Toronto","airport","OurAirports" 7903,"Marl-Loemühle Airfield","Recklinghausen","Germany",\N,"EDLM",51.647202,7.16333,240,1,"U","Europe/Berlin","airport","OurAirports" 7904,"Färila Air Base","Farila","Sweden",\N,"ESNF",61.897998809814,15.705300331116,0,1,"E","Europe/Stockholm","airport","OurAirports" 7905,"Lahr Airport","Lahr","Germany","LHA","EDTL",48.3693008423,7.82772016525,511,1,"E","Europe/Berlin","airport","OurAirports" 7906,"Monywar Airport","Monywa","Burma","NYW","VYMY",22.221638,95.093479,298,6.5,"N","Asia/Rangoon","airport","OurAirports" 7907,"Ohio University Snyder Field","Athens","United States","ATO","KUNI",39.2109985352,-82.23139953610001,766,-5,"U","America/New_York","airport","OurAirports" 7908,"Springfield-Beckley Municipal Airport","Springfield","United States","SGH","KSGH",39.840301513672,-83.840202331543,1051,-5,"A","America/New_York","airport","OurAirports" 7909,"Sun Island Resort and SPA","South Aari Atoll","Maldives",\N,\N,3.488334,72.862989,0,-3,"N","America/Sao_Paulo","airport","OurAirports" 7910,"Fes Sefrou Airport","Fes","Morocco",\N,"GMFU",34.00809860229492,-4.965559959411621,1539,0,"U","Africa/Casablanca","airport","OurAirports" 7911,"Herrera Airport","Santo Domingo","Dominican Republic","HEX","MDHE",18.4696998596,-69.9693984985,190,-4,"U","America/Santo_Domingo","airport","OurAirports" 7912,"Cooinda Airport","Cooinda","Australia","CDA","YCOO",-12.903300285339355,132.53199768066406,13,9.5,"U","Australia/Darwin","airport","OurAirports" 7913,"Jabiru Airport","Jabiru","Australia","JAB","YJAB",-12.658300399780273,132.89300537109375,85,9.5,"U","Australia/Darwin","airport","OurAirports" 7918,"Regensburg-Oberhub Airport","Regensburg","Germany",\N,"EDNR",49.141944885253906,12.081944465637207,1299,1,"E","Europe/Berlin","airport","OurAirports" 7924,"Hastings Airport","Freetown","Sierra Leone","HGS","GFHA",8.397130012512207,-13.12909984588623,60,0,"N","Africa/Freetown","airport","OurAirports" 7925,"Philip Billard Municipal Airport","Topeka","United States","TOP","KTOP",39.068698883057,-95.622497558594,881,-6,"A","America/Chicago","airport","OurAirports" 7928,"Benson Airstrip","Uvalde","United States",\N,"2XS8",29.229400634765625,-99.82389831542969,929,-6,"A","America/Chicago","airport","OurAirports" 7929,"Rough River State Park Airport","Null","United States",\N,"K2I3",37.610022,-86.507262,577,-6,"A","America/Chicago","airport","OurAirports" 7930,"Smyrna Airport","Smyrna","United States","MQY","KMQY",36.0089988708,-86.5201034546,543,-6,"A","America/Chicago","airport","OurAirports" 7931,"Franklin County Airport","Sewanee","United States","UOS","KUOS",35.205101013184,-85.898101806641,1953,-6,"A","America/Chicago","airport","OurAirports" 7932,"Ngari Gunsa Airport","Shiquanhe","China","NGQ","ZUAL",32.1,80.0530555556,14022,8,"N","Asia/Shanghai","airport","OurAirports" 7933,"Cochstedt Airport","Cochstedt","Germany","CSO","EDBC",51.8563995361,11.42029953,594,1,"E","Europe/Berlin","airport","OurAirports" 7935,"Collin County Regional At Mc Kinney Airport","DALLAS","United States",\N,"KTKI",33.17789841,-96.59049988,585,-6,"A","America/Chicago","airport","OurAirports" 7936,"Chicago Executive Airport","Chicago-Wheeling","United States","PWK","KPWK",42.114222,-87.901494,647,-6,"A","America/Chicago","airport","OurAirports" 7938,"Southwest Washington Regional Airport","Kelso","United States","KLS","KKLS",46.11800003049999,-122.898002625,20,-8,"A","America/Los_Angeles","airport","OurAirports" 7939,"BeneÅ¡ov Airport","Benesov","Czech Republic",\N,"LKBE",49.74079895019531,14.644700050354004,1319,1,"U","Europe/Prague","airport","OurAirports" 7941,"Bougouni Airport","Bougouni","Mali",\N,"GABG",11.449999809265137,-7.517000198364258,1139,0,"N","Africa/Bamako","airport","OurAirports" 7946,"Tureia Airport","Tureia","French Polynesia","ZTA","NTGY",-20.78969955444336,-138.57000732421875,12,-10,"N",\N,"airport","OurAirports" 7947,"McMurdo Station Ice Runway","Ross Island","Antarctica",\N,"NZIR",-77.85399627685547,166.468994140625,1,12,"N","Antarctica/South_Pole","airport","OurAirports" 7948,"Keekorok Airport","Keekorok","Kenya",\N,"HKKE",-1.5829999446868896,35.25,5800,3,"N","Africa/Nairobi","airport","OurAirports" 7962,"Puerto Obaldia Airport","Puerto Obaldia","Panama","PUE","MPOA",8.667,-77.418,223,-5,"U","America/Panama","airport","OurAirports" 7963,"Kerch Airport","Kerch","Ukraine","KHC","UKFK",45.372501373291016,36.40140151977539,171,3,"E","Europe/Simferopol","airport","OurAirports" 7976,"Ukunda Airstrip","Ukunda","Kenya","UKA","HKUK",-4.29333,39.571098,98,3,"U","Africa/Nairobi","airport","OurAirports" 7978,"Wilmington Airpark","Wilmington","United States","ILN","KILN",39.427898407,-83.792098999,1077,-5,"U","America/New_York","airport","OurAirports" 7979,"Marana Regional Airport","Tucson","United States","AVW","KAVQ",32.4095993042,-111.218002319,2031,-7,"U","America/Phoenix","airport","OurAirports" 7980,"Casa Grande Municipal Airport","Casa Grande","United States","CGZ","KCGZ",32.954899,-111.766998,1464,-7,"U","America/Phoenix","airport","OurAirports" 7981,"Mobile Airport","Mobile","United States",\N,"1AZ0",33.111900329589844,-112.26899719238281,1261,-7,"U","America/Phoenix","airport","OurAirports" 7982,"Buckeye Municipal Airport","Buckeye","United States","BXK","KBXK",33.42039871,-112.685997,1033,-7,"U","America/Phoenix","airport","OurAirports" 7983,"Gila Bend Municipal Airport","Gila Bend","United States",\N,"KE63",32.95809937,-112.6780014,789,-7,"U","America/Phoenix","airport","OurAirports" 7984,"McMinn County Airport","Athens","United States","MMI","KMMI",35.39730072,-84.56259918,875,-5,"N","America/New_York","airport","OurAirports" 7985,"Sterling Municipal Airport","Sterling","United States","STK","KSTK",40.61529922,-103.2649994,4040,-7,"A","America/Denver","airport","OurAirports" 7986,"Rawlins Municipal Airport/Harvey Field","Rawlins","United States","RWL","KRWL",41.80559921,-107.1999969,6813,-7,"A","America/Denver","airport","OurAirports" 7987,"Mackenzie Airport","Mackenzie British Columbia","Canada",\N,"CYZY",55.304402,-123.132004,2264,-8,"A","America/Vancouver","airport","OurAirports" 7990,"Essex County Airport","Caldwell","United States","CDW","KCDW",40.875198364300005,-74.2814025879,173,-5,"A","America/New_York","airport","OurAirports" 7991,"Lee C Fine Memorial Airport","Kaiser Lake Ozark","United States","AIZ","KAIZ",38.0960006714,-92.54949951170002,869,-6,"A","America/Chicago","airport","OurAirports" 7998,"Thomasville Regional Airport","Thomasville","United States","TVI","KTVI",30.901599884033,-83.881301879883,264,-5,"A","America/New_York","airport","OurAirports" 7999,"Henderson Executive Airport","Henderson","United States","HSH","KHND",35.9728012085,-115.134002686,2492,-8,"A","America/Los_Angeles","airport","OurAirports" 8000,"Gostomel Airport","Kiev","Ukraine","GML","UKKM",50.60350036621094,30.1919002532959,517,2,"E","Europe/Kiev","airport","OurAirports" 8005,"Henry Tift Myers Airport","Tifton","United States","TMA","KTMA",31.4290008545,-83.4885025024,355,-5,"A","America/New_York","airport","OurAirports" 8006,"Landshut Airport","Landshut","Germany",\N,"EDML",48.51166534423828,12.033332824707031,1312,1,"E","Europe/Berlin","airport","OurAirports" 8007,"Itzehoe/Hungriger Wolf Airport","Itzehoe","Germany",\N,"EDHF",53.99444580078125,9.578611373901367,89,1,"E","Europe/Berlin","airport","OurAirports" 8029,"Radom Airport","RADOM","Poland","RDO","EPRA",51.3891983032,21.213300705,610,1,"E","Europe/Warsaw","airport","OurAirports" 8030,"Phoenix Deer Valley Airport","Phoenix ","United States","DVT","KDVT",33.6883010864,-112.083000183,1478,-7,"A","America/Phoenix","airport","OurAirports" 8031,"Calgary / Springbank Airport","Calgary","Canada",\N,"CYBW",51.103099823,-114.374000549,3940,-7,"A","America/Edmonton","airport","OurAirports" 8032,"Golden Airport","Golden","Canada",\N,"CYGE",51.299196,-116.982002,2575,-7,"A","America/Edmonton","airport","OurAirports" 8033,"Revelstoke Airport","Revelstoke","Canada","YRV","CYRV",50.9667015076,-118.182998657,1459,-8,"A","America/Vancouver","airport","OurAirports" 8034,"Republic Airport","Farmingdale","United States","FRG","KFRG",40.7288017273,-73.4133987427,82,-5,"A","America/New_York","airport","OurAirports" 8035,"Allstedt Airport","Allstedt","Germany",\N,"EDBT",51.38055419921875,11.446666717529297,932,1,"E","Europe/Berlin","airport","OurAirports" 8038,"General Freire Airport","Curico","Chile",\N,"SCIC",-34.96666717529297,-71.21639251708984,722,-4,"S","America/Santiago","airport","OurAirports" 8039,"Peine-Eddesse Airport","Peine","Germany",\N,"EDVP",52.402500152600005,10.228889465299998,249,1,"E","Europe/Berlin","airport","OurAirports" 8042,"South Texas Regional Airport at Hondo","Hondo","United States",\N,"KHDO",29.35950088501,-99.176696777344,930,-6,"A","America/Chicago","airport","OurAirports" 8043,"Zhongwei Shapotou Airport","Zhongwei","China","ZHY","ZLZW",37.573125,105.154454,8202,8,"N","Asia/Shanghai","airport","OurAirports" 8050,"McKinley National Park Airport","McKinley Park","United States","MCL","PAIN",63.7326011658,-148.910995483,1720,-9,"A","America/Anchorage","airport","OurAirports" 8051,"Lake Hood Airport","Anchorage","United States",\N,"PALH",61.186946,-149.965442,73,-9,"A","America/Anchorage","airport","OurAirports" 8052,"Prospect Creek Airport","Prospect Creek","United States","PPC","PAPR",66.814102172852,-150.64399719238,1095,-9,"A","America/Anchorage","airport","OurAirports" 8053,"Khwai River Lodge Airport","Khwai River","Botswana","KHW","FBKR",-19.149999618530273,23.783000946044922,3000,2,"N","Africa/Gaborone","airport","OurAirports" 8054,"Spremberg-Welzow Airport","Welzow","Germany",\N,"EDCY",51.575557708740234,14.136943817138672,374,1,"E","Europe/Berlin","airport","OurAirports" 8055,"Taichung Airport","Taichung","Taiwan","TXG","RCLG",24.18630027770996,120.65399932861328,369,8,"N","Asia/Taipei","airport","OurAirports" 8062,"Wheeling Ohio County Airport","Wheeling","United States","HLG","KHLG",40.1749992371,-80.6463012695,1195,-5,"A","America/New_York","airport","OurAirports" 8063,"Fitzgerald Municipal Airport","Fitzgerald","United States",\N,"KFZG",31.683700561523438,-83.27050018310547,365,-5,"A","America/New_York","airport","OurAirports" 8069,"Ye Airport","Ye","Burma","XYE","VYYE",15.300000190734863,97.86699676513672,30,6.5,"U","Asia/Rangoon","airport","OurAirports" 8070,"Isla San Felix Airport","Isla San Felix","Chile",\N,"SCFX",-26.293899536132812,-80.09619903564453,165,-4,"U","America/Santiago","airport","OurAirports" 8075,"Shaibah Airport","Shaybah","Saudi Arabia",\N,"OESB",22.51449966430664,53.9640998840332,300,3,"N","Asia/Riyadh","airport","OurAirports" 8076,"Al Maktoum International Airport","Dubai","United Arab Emirates","DWC","OMDW",24.896356,55.161389,114,4,"U","Asia/Dubai","airport","OurAirports" 8077,"Aransas County Airport","Rockport","United States","RKP","KRKP",28.0867996216,-97.0446014404,24,-6,"A","America/Chicago","airport","OurAirports" 8079,"Megève Airport","Verdun","France","MVV","LFHM",45.82080078125,6.652219772338867,4823,1,"U","Europe/Paris","airport","OurAirports" 8080,"Méribel Altiport","Ajaccio","France","MFX","LFKX",45.407003,6.577942,5636,1,"U","Europe/Paris","airport","OurAirports" 8082,"Baise Youjiang Airport","Baise","China","AEB","ZGBS",23.7206001282,106.959999084,490,8,"N","Asia/Shanghai","airport","OurAirports" 8083,"Okaukuejo Airport","Okaukuejo","Namibia","OKF","FYOO",-19.149200439453125,15.91189956665039,3911,1,"S","Africa/Windhoek","airport","OurAirports" 8084,"Mokuti Lodge Airport","Mokuti Lodge","Namibia","OKU","FYMO",-18.81279945373535,17.05940055847168,3665,1,"S","Africa/Windhoek","airport","OurAirports" 8085,"Rotenburg (Wümme) Airport","Rotenburg Wuemme","Germany",\N,"EDXQ",53.128334045410156,9.348610877990723,98,1,"E","Europe/Berlin","airport","OurAirports" 8086,"Wipperfürth-Neye Airport","Wipperfuerth","Germany",\N,"EDKN",51.124168395996094,7.373610973358154,863,1,"E","Europe/Berlin","airport","OurAirports" 8087,"Osnabrück-Atterheide Airport","Osnabrueck","Germany",\N,"EDWO",52.286388,7.969722,287,1,"E","Europe/Berlin","airport","OurAirports" 8088,"Flugplatz Ballenstedt","Ballenstedt","Germany",\N,"EDCB",51.745834,11.229722,535,1,"E","Europe/Berlin","airport","OurAirports" 8089,"Flugplatz Hartenholm","Hasenmoor","Germany",\N,"EDHM",53.915001,10.035556,108,1,"E","Europe/Berlin","airport","OurAirports" 8090,"Ganderkesee Atlas Airfield","Ganderkesee","Germany",\N,"EDWQ",53.03611,8.505556,95,1,"E","Europe/Berlin","airport","OurAirports" 8091,"Nienburg-Holzbalge Airport","Nienburg Weser","Germany",\N,"EDXI",52.709720611572266,9.162500381469727,82,1,"E","Europe/Berlin","airport","OurAirports" 8092,"Damme Airfield","Damme","Germany",\N,"EDWC",52.487499,8.185556,151,1,"E","Europe/Berlin","airport","OurAirports" 8093,"Borkenberge Airport","Duelmen","Germany",\N,"EDLB",51.779998779299994,7.28805589676,157,1,"E","Europe/Berlin","airport","OurAirports" 8094,"Obermehler-Schlotheim Airport","Obermehler","Germany",\N,"EDCO",51.26777648925781,10.634721755981445,909,1,"E","Europe/Berlin","airport","OurAirports" 8095,"Hodenhagen Airport","Hodenhagen","Germany",\N,"EDVH",52.761865,9.61056,79,1,"E","Europe/Berlin","airport","OurAirports" 8096,"Grube Airport","Grube","Germany",\N,"EDHB",54.24444580078125,11.0247220993042,7,1,"E","Europe/Berlin","airport","OurAirports" 8097,"Tønder Airport","Toender","Denmark",\N,"EKTD",54.9296989440918,8.840570449829102,1,1,"E","Europe/Copenhagen","airport","OurAirports" 8098,"Celle-Arloh Airport","Celle","Germany",\N,"EDVC",52.68722152709961,10.11138916015625,207,1,"E","Europe/Berlin","airport","OurAirports" 8099,"Uelzen Airport","Uelzen","Germany",\N,"EDVU",52.9838905334,10.4650001526,246,1,"E","Europe/Berlin","airport","OurAirports" 8100,"Hamm-Lippewiesen Airport","Hamm","Germany",\N,"EDLH",51.689720153808594,7.816111087799072,190,1,"E","Europe/Berlin","airport","OurAirports" 8101,"Lüsse Airport","Luesse","Germany",\N,"EDOJ",52.141109466552734,12.664722442626953,217,1,"E","Europe/Berlin","airport","OurAirports" 8102,"Porta Westfalica Airport","Bad Oeynhausen","Germany",\N,"EDVY",52.22083282470703,8.859167098999023,148,1,"E","Europe/Berlin","airport","OurAirports" 8103,"Brilon/Hochsauerlandkreis Airfield","Brilon","Germany",\N,"EDKO",51.4025,8.641667,1509,1,"E","Europe/Berlin","airport","OurAirports" 8104,"Hameln-Pyrmont Airport","Bad Pyrmont","Germany",\N,"EDVW",51.96666717529297,9.291666984558105,1178,1,"E","Europe/Berlin","airport","OurAirports" 8105,"Nordholz-Spieka Airfield","Cuxhaven","Germany",\N,"EDXN",53.767223,8.643611,72,1,"E","Europe/Berlin","airport","OurAirports" 8106,"Köthen Airport","Koethen","Germany","KOQ","EDCK",51.7211112976,11.952777862500001,305,1,"E","Europe/Berlin","airport","OurAirports" 8107,"St. Michaelisdonn Airport","Sankt Michaelisdonn","Germany",\N,"EDXM",53.978057861328125,9.144721984863281,125,1,"E","Europe/Berlin","airport","OurAirports" 8108,"Salzgitter-Drütte Airport","Salzgitter","Germany",\N,"EDVS",52.15444564819336,10.426667213439941,328,1,"E","Europe/Berlin","airport","OurAirports" 8109,"Karlshöfen Airport","Karlshoefen","Germany",\N,"EDWK",53.33277893066406,9.028332710266113,20,1,"E","Europe/Berlin","airport","OurAirports" 8110,"Oldenburg-Hatten Airfield","Oldenburg","Germany",\N,"EDWH",53.06889,8.313611,26,1,"E","Europe/Berlin","airport","OurAirports" 8111,"Rinteln Airport","Rinteln","Germany",\N,"EDVR",52.17527770996094,9.053333282470703,180,1,"E","Europe/Berlin","airport","OurAirports" 8112,"Münster-Telgte Airport","Muenster","Germany",\N,"EDLT",51.94444274902344,7.773889064788818,177,1,"E","Europe/Berlin","airport","OurAirports" 8113,"St. Peter-Ording Airport","Sankt Peter-Ording","Germany","PSH","EDXO",54.30888748168945,8.686944007873535,7,1,"E","Europe/Berlin","airport","OurAirports" 8114,"Lüchow-Rehbeck Airport","Luechow","Germany",\N,"EDHC",53.016109466552734,11.144444465637207,49,1,"E","Europe/Berlin","airport","OurAirports" 8115,"Klietz/Scharlibbe Airport","Scharlibbe","Germany",\N,"EDCL",52.709442138671875,12.073332786560059,95,1,"E","Europe/Berlin","airport","OurAirports" 8116,"Burg Airport","Burg","Germany",\N,"EDBG",52.241668701171875,11.856110572814941,174,1,"E","Europe/Berlin","airport","OurAirports" 8117,"Crisp County Cordele Airport","Cordele","United States",\N,"KCKF",31.98880005,-83.77390289,310,-5,"A","America/New_York","airport","OurAirports" 8118,"Ormond Beach Municipal Airport","Ormond Beach","United States",\N,"KOMN",29.300600051879883,-81.11360168457031,29,-5,"A","America/New_York","airport","OurAirports" 8119,"Bad Neuenahr-Ahrweiler Airfield","Bad Neuenahr","Germany",\N,"EDRA",50.557777,7.136389,673,1,"E","Europe/Berlin","airport","OurAirports" 8120,"Bad Dürkheim Airport","Bad Duerkheim","Germany",\N,"EDRF",49.47305679321289,8.196389198303223,351,1,"E","Europe/Berlin","airport","OurAirports" 8121,"Portland Troutdale Airport","Troutdale","United States","TTD","KTTD",45.54940032959,-122.40100097656,39,-8,"A","America/Los_Angeles","airport","OurAirports" 8122,"Portland Hillsboro Airport","Hillsboro","United States","HIO","KHIO",45.540401,-122.949997,208,-8,"A","America/Los_Angeles","airport","OurAirports" 8123,"One Police Plaza Heliport","New York","United States",\N,"NK39",40.71260070800781,-73.99960327148438,244,-5,"A","America/New_York","airport","OurAirports" 8124,"Leverkusen Airport","Leverkusen","Germany",\N,"EDKL",51.01527786254883,7.005556106567383,157,1,"E","Europe/Berlin","airport","OurAirports" 8126,"Wershofen/Eifel Airfield","Wershofen","Germany",\N,"EDRV",50.451389,6.783333,1581,1,"E","Europe/Berlin","airport","OurAirports" 8127,"Khost Airport","Khost","Afghanistan","KHT","OAKS",33.3334007263,69.952003479,3756,4.5,"N","Asia/Kabul","airport","OurAirports" 8130,"Namtu Airport","Naypyidaw","Burma","NMT","VYNT",23.083,97.383003,2000,6.5,"N","Asia/Rangoon","airport","OurAirports" 8133,"Bend Municipal Airport","Bend","United States",\N,"KBDN",44.09479904,-121.2009964,3460,-8,"A","America/Los_Angeles","airport","OurAirports" 8134,"Christmas Valley Airport","Christmas Valley","United States",\N,"K62S",43.23649978637695,-120.66600036621094,4317,-8,"A","America/Los_Angeles","airport","OurAirports" 8135,"Burns Municipal Airport","Burns","United States","BNO","KBNO",43.5918998718,-118.955001831,4148,-8,"A","America/Los_Angeles","airport","OurAirports" 8136,"Prineville Airport","Prineville","United States","PRZ","KS39",44.286998748779,-120.90399932861,3250,-8,"A","America/Los_Angeles","airport","OurAirports" 8137,"Red Bluff Municipal Airport","Red Bluff","United States","RBL","KRBL",40.1506996155,-122.251998901,352,-8,"A","America/Los_Angeles","airport","OurAirports" 8138,"Marin County Airport - Gnoss Field","Novato","United States","NOT","KDVO",38.143600463867,-122.55599975586,2,-8,"A","America/Los_Angeles","airport","OurAirports" 8139,"Lake County Airport","Lakeview","United States","LKV","KLKV",42.161098480199996,-120.399002075,4733,-8,"A","America/Los_Angeles","airport","OurAirports" 8140,"Tillamook Airport","Tillamook","United States","OTK","KTMK",45.4182014465,-123.814002991,36,-8,"A","America/Los_Angeles","airport","OurAirports" 8141,"Ontario Municipal Airport","Ontario","United States","ONO","KONO",44.020500183105,-117.01399993896,2193,-7,"A","America/Denver","airport","OurAirports" 8142,"Columbia Gorge Regional the Dalles Municipal Airport","The Dalles","United States","DLS","KDLS",45.6184997559,-121.166999817,247,-8,"A","America/Los_Angeles","airport","OurAirports" 8143,"Montgomery County Airpark","Gaithersburg","United States","GAI","KGAI",39.168300628699996,-77.1660003662,539,-5,"A","America/New_York","airport","OurAirports" 8146,"Sharana Airstrip","Sharona","Afghanistan","OAS","OASA",33.12575,68.838517,7340,4.5,"N","Asia/Kabul","airport","OurAirports" 8147,"Pembroke Airport","Pembroke","Canada","YTA","CYTA",45.86439895629883,-77.25170135498047,529,-5,"A","America/Toronto","airport","OurAirports" 8148,"Tsumeb Airport","Tsumeb","Namibia","TSB","FYTM",-19.26189994812,17.732500076294,4353,1,"U","Africa/Windhoek","airport","OurAirports" 8149,"Suffield Heliport","Suffield","Canada","YSD","CYSD",50.266700744628906,-111.18299865722656,2525,-7,"A","America/Edmonton","airport","OurAirports" 8152,"Blumenau Airport","BLUMENAU","Brazil","BNU","SSBL",-26.83060073852539,-49.090301513671875,60,-3,"S","America/Sao_Paulo","airport","OurAirports" 8156,"Bolshoye Gryzlovo Airfield","Stupino","Russia",\N,"UUDG",54.785,37.645,797,3,"N","Europe/Moscow","airport","OurAirports" 8162,"Charlevoix Municipal Airport","Charelvoix","United States",\N,"KCVX",45.3047981262207,-85.2748031616211,669,-5,"A","America/New_York","airport","OurAirports" 8165,"Mykines Heliport","Mykines","Faroe Islands",\N,"EKMS",62.1021003723,-7.645919799800001,110,0,"E","Atlantic/Faeroe","airport","OurAirports" 8177,"Cornwall Regional Airport","Cornwall","Canada","YCC","CYCC",45.09280014038086,-74.56330108642578,175,-5,"A","America/Toronto","airport","OurAirports" 8178,"Seppe Airfield","Bosschenhoofd","Netherlands",\N,"EHSE",51.554699,4.5525,30,1,"E","Europe/Amsterdam","airport","OurAirports" 8179,"St Stephan Airport","St.Stephan","Switzerland",\N,"LSTS",46.497398376464844,7.412569999694824,3304,1,"E","Europe/Zurich","airport","OurAirports" 8180,"Zona da Mata Regional Airport","Juiz de Fora","Brazil","IZA","SDZY",-21.5130558014,-43.1730575562,1348,-3,"S","America/Sao_Paulo","airport","OurAirports" 8181,"IAR Gimbav Heliport","Brasov","Romania",\N,"LRBG",45.686443,25.529058,0,2,"E","Europe/Bucharest","airport","OurAirports" 8182,"Flagler Executive Airport","Flagler","United States",\N,"KXFL",29.4674,-81.206299,33,-5,"A","America/New_York","airport","OurAirports" 8187,"Morrisville Stowe State Airport","Morrisville","United States","MVL","KMVL",44.53459930419999,-72.6139984131,732,-5,"A","America/New_York","airport","OurAirports" 8188,"Dallas Executive Airport","Dallas","United States","RBD","KRBD",32.6809005737,-96.8682022095,660,-6,"A","America/Chicago","airport","OurAirports" 8189,"Como (Idroscalo - Water Ad) Hidroport","Como","Italy",\N,"LILY",45.814701,9.06972,663,1,"E","Europe/Rome","airport","OurAirports" 8192,"Krainiy Airport","Baikonur","Kazakhstan","BXY","UAOL",45.621994,63.210773,317,6,"U","Asia/Qyzylorda","airport","OurAirports" 8194,"Westerly State Airport","Washington County","United States","WST","KWST",41.3496017456,-71.8033981323,81,-5,"A","America/New_York","airport","OurAirports" 8195,"Block Island State Airport","Block Island","United States","BID","KBID",41.1680984497,-71.577796936,108,-5,"A","America/New_York","airport","OurAirports" 8199,"Nightmute Airport","Nightmute","United States","NME","PAGT",60.471000671387,-164.70100402832,4,-9,"A","America/Anchorage","airport","OurAirports" 8200,"Toksook Bay Airport","Toksook Bay","United States","OOK","PAOO",60.54140091,-165.0870056,59,-9,"A","America/Anchorage","airport","OurAirports" 8208,"Ittoqqortoormiit Heliport","Ittoqqortoormiit","Greenland","OBY","BGSC",70.4882288244,-21.971679925900002,238,-1,"U","America/Scoresbysund","airport","OurAirports" 8209,"Vinnytsia/Gavyryshivka Airport","Vinnitsa","Ukraine","VIN","UKWW",49.242531,28.613778,961,2,"E","Europe/Kiev","airport","OurAirports" 8215,"Decatur County Industrial Air Park","Bainbridge","United States","BGE","KBGE",30.9715004,-84.63739777,141,-5,"A","America/New_York","airport","OurAirports" 8216,"La Romaine Airport","La Romaine","Canada","ZGS","CTT5",50.259701,-60.679401,90,-4,"A","America/Blanc-Sablon","airport","OurAirports" 8217,"Kegaska Airport","Kegaska","Canada","ZKG","CTK6",50.1958007812,-61.265800476100004,32,-4,"A","America/Blanc-Sablon","airport","OurAirports" 8218,"Black Tickle Airport","Black Tickle","Canada","YBI","CCE4",53.4693984985,-55.784999847399995,57,-4,"A","America/Halifax","airport","OurAirports" 8219,"Silver Springs Airport","Silver Springs","United States",\N,"KSPZ",39.40299987792969,-119.2509994506836,4269,-8,"A","America/Los_Angeles","airport","OurAirports" 8220,"Whiteman Airport","Los Angeles","United States","WHP","KWHP",34.2593002319,-118.413002014,1003,-8,"A","America/Los_Angeles","airport","OurAirports" 8221,"Madera Municipal Airport","Madera","United States","MAE","KMAE",36.9886016846,-120.111999512,255,-8,"A","America/Los_Angeles","airport","OurAirports" 8223,"Trail Airport","Trail","Canada","YZZ","CAD4",49.0555992126,-117.60900116,1427,-8,"A","America/Vancouver","airport","OurAirports" 8224,"Victoria Airport","Patricia Bay","Canada",\N,"CAP5",48.6538920506,-123.450450897,0,-8,"A","America/Vancouver","airport","OurAirports" 8225,"Old Arctic Bay Airport","Arctic Bay","Canada","YAB","CJX7",73.0058922479,-85.0325489044,100,-6,"A","America/Winnipeg","airport","OurAirports" 8227,"Birchwood Airport","Belmopan","Belize",\N,"PABV",61.41650009,-149.5070038,83,-9,"U","America/Anchorage","airport","OurAirports" 8228,"Grand-Santi Airport","Grand-Santi","French Guiana","GSI","SOGS",4.285833,-54.373056,207,-3,"S","America/Cayenne","airport","OurAirports" 8229,"Maripasoula Airport","Maripasoula","French Guiana","MPY","SOOA",3.6575,-54.037201,406,-3,"S","America/Cayenne","airport","OurAirports" 8230,"Saint-Laurent-du-Maroni Airport","Saint-Laurent-du-Maroni","French Guiana","LDX","SOOM",5.48306,-54.034401,16,-3,"S","America/Cayenne","airport","OurAirports" 8233,"Kanas Airport","Burqin","China","KJI","ZWKN",48.2223,86.9959,3921,8,"U","Asia/Shanghai","airport","OurAirports" 8234,"Capurganá Airport","Capurgana","Colombia","CPB","SKCA",8.63333,-77.35,49,-5,"S","America/Bogota","airport","OurAirports" 8235,"Sohag International Airport","Sohag","Egypt","HMB","HEMK",26.342778,31.742778,310,2,"E","Africa/Cairo","airport","OurAirports" 8236,"Presidente General Don Oscar D. Gestido International Airport","Rivera","Uruguay","RVY","SURV",-30.974599838256836,-55.476200103759766,712,-3,"S","America/Montevideo","airport","OurAirports" 8237,"Patos de Minas Airport","Patos de Minas","Brazil","POJ","SNPD",-18.672800064086914,-46.4911994934082,2793,-3,"S","America/Sao_Paulo","airport","OurAirports" 8238,"Bauru - Arealva Airport","Bauru","Brazil","JTC","SJTC",-22.166859140899998,-49.0502866745,1949,-3,"S","America/Sao_Paulo","airport","OurAirports" 8239,"Ourilândia do Norte Airport","Ourilandia do Norte","Brazil","OIA","SDOW",-6.763100147250001,-51.0499000549,901,-3,"S","America/Belem","airport","OurAirports" 8240,"Redenção Airport","Redencao","Brazil","RDC","SNDC",-8.033289909362793,-49.97990036010742,670,-3,"S","America/Belem","airport","OurAirports" 8241,"São Félix do Xingu Airport","Sao Felix do Xingu","Brazil","SXX","SNFX",-6.6413,-51.9523,656,-3,"S","America/Belem","airport","OurAirports" 8242,"Bonito Airport","Bointo","Brazil","BYO","SJDB",-21.247299,-56.452499,1180,-4,"S","America/Campo_Grande","airport","OurAirports" 8243,"São Félix do Araguaia Airport","Sao Felix do Araguaia","Brazil","SXO","SWFX",-11.632399559020996,-50.68960189819336,650,-4,"S","America/Campo_Grande","airport","OurAirports" 8244,"Caçador Airport","Cacador","Brazil","CFC","SBCD",-26.78840065,-50.9398002625,3376,-3,"S","America/Sao_Paulo","airport","OurAirports" 8245,"Carauari Airport","Carauari","Brazil","CAF","SWCA",-4.871520042419434,-66.89749908447266,355,-4,"S","America/Boa_Vista","airport","OurAirports" 8246,"Urucu Airport","Porto Urucu","Brazil",\N,"SWUY",-4.88422012329,-65.3554000854,243,-4,"S","America/Boa_Vista","airport","OurAirports" 8247,"Eirunepé Airport","Eirunepe","Brazil","ERN","SWEI",-6.639530181884766,-69.87979888916016,412,-4,"S","America/Boa_Vista","airport","OurAirports" 8248,"Concórdia Airport","Concordia","Brazil","CCI","SSCK",-27.180599212646484,-52.05270004272461,2461,-3,"S","America/Sao_Paulo","airport","OurAirports" 8249,"Francisco Beltrão Airport","Francisco Beltrao","Brazil","FBE","SSFB",-26.059200286865234,-53.063499450683594,2100,-3,"S","America/Sao_Paulo","airport","OurAirports" 8250,"Confresa Airport","Confresa","Brazil","CFO","SJHG",-10.634400367736816,-51.5635986328125,781,-4,"S","America/Campo_Grande","airport","OurAirports" 8252,"Apalachicola Regional Airport","Apalachicola","United States","AAF","KAAF",29.72750092,-85.02749634,20,-5,"A","America/New_York","airport","OurAirports" 8253,"Umuarama Airport","Umuarama","Brazil","UMU","SSUM",-23.7987003326416,-53.31380081176758,1558,-3,"S","America/Sao_Paulo","airport","OurAirports" 8254,"Diamantina Airport","Diamantina","Brazil","DTI","SNDT",-18.232000351,-43.650398254399995,4446,-3,"S","America/Sao_Paulo","airport","OurAirports" 8255,"Fonte Boa Airport","Fonte Boa","Brazil","FBA","SWOB",-2.5326099395800004,-66.0831985474,207,-4,"S","America/Boa_Vista","airport","OurAirports" 8256,"Senadora Eunice Micheles Airport","Sao Paulo de Olivenca","Brazil","OLC","SDCG",-3.46792950765,-68.9204120636,335,-4,"S","America/Boa_Vista","airport","OurAirports" 8257,"Humaitá Airport","Humaita","Brazil","HUW","SWHT",-7.532120227810001,-63.072101593,230,-4,"S","America/Boa_Vista","airport","OurAirports" 8258,"Tapuruquara Airport","Santa Isabel do Rio Negro","Brazil","IRZ","SWTP",-0.3786,-64.9923,223,-4,"S","America/Boa_Vista","airport","OurAirports" 8259,"Oriximiná Airport","Oriximina","Brazil","ORX","SNOX",-1.7140799760818481,-55.83620071411133,262,-3,"S","America/Belem","airport","OurAirports" 8260,"Hotel Transamérica Airport","Una","Brazil","UNA","SBTC",-15.355199813799999,-38.9990005493,20,-3,"S","America/Fortaleza","airport","OurAirports" 8265,"Telfer Airport","Telfer","Australia","TEF","YTEF",-21.71500015258789,122.22899627685547,970,8,"N","Australia/Perth","airport","OurAirports" 8266,"GazipaÅŸa Airport","Alanya","Turkey","GZP","LTGP",36.299217,32.300598,86,3,"E","Europe/Istanbul","airport","OurAirports" 8267,"Shank Air Base","Shank","Afghanistan","OAA","OASH",33.9225,69.07722222219999,6890,4.5,"N","Asia/Kabul","airport","OurAirports" 8273,"Douglas Municipal Airport","Douglas","United States",\N,"KDQH",31.476699829101562,-82.8604965209961,257,-5,"A","America/New_York","airport","OurAirports" 8274,"St Lucie County International Airport","Fort Pierce","United States","FPR","KFPR",27.49510002,-80.36830139,24,-5,"A","America/New_York","airport","OurAirports" 8276,"Taunton Municipal King Field","Taunton","United States",\N,"KTAN",41.8744010925293,-71.0166015625,43,-5,"A","America/New_York","airport","OurAirports" 8277,"Plymouth Municipal Airport","Plymouth","United States","PYM","KPYM",41.909,-70.728798,148,-5,"A","America/New_York","airport","OurAirports" 8278,"Quonset State Airport","North Kingstown","United States","NCO","KOQU",41.597099304199,-71.412101745605,18,-5,"A","America/New_York","airport","OurAirports" 8280,"Norwood Memorial Airport","Norwood","United States","OWD","KOWD",42.1904983521,-71.1728973389,49,-5,"A","America/New_York","airport","OurAirports" 8281,"Westfield-Barnes Regional Airport","Westfield","United States","BAF","KBAF",42.157799,-72.715599,271,-5,"A","America/New_York","airport","OurAirports" 8282,"Windham Airport","Willimantic","United States",\N,"KIJD",41.74399948120117,-72.1802978515625,247,-5,"A","America/New_York","airport","OurAirports" 8283,"Orange County Airport","Montgomery","United States","MGJ","KMGJ",41.50999832,-74.26460266,364,-5,"A","America/New_York","airport","OurAirports" 8284,"Capital City Airport","Harrisburg","United States","HAR","KCXY",40.2170982361,-76.85150146480001,347,-5,"A","America/New_York","airport","OurAirports" 8285,"Marshfield Municipal George Harlow Field","Marshfield","United States",\N,"KGHG",42.09830093383789,-70.67220306396484,11,-5,"A","America/New_York","airport","OurAirports" 8286,"Danbury Municipal Airport","Danbury","United States","DXR","KDXR",41.371498107899995,-73.48220062259999,458,-5,"A","America/New_York","airport","OurAirports" 8287,"Boire Field","Nashua","United States","ASH","KASH",42.7817001343,-71.51480102539999,199,-5,"A","America/New_York","airport","OurAirports" 8288,"Lawrence Municipal Airport","Lawrence","United States","LWM","KLWM",42.717201232899995,-71.1233978271,148,-5,"A","America/New_York","airport","OurAirports" 8289,"Waterbury Oxford Airport","Oxford","United States","OXC","KOXC",41.47859954834,-73.135200500488,726,-5,"A","America/New_York","airport","OurAirports" 8290,"Fitchburg Municipal Airport","Fitchburg","United States",\N,"KFIT",42.554100036621094,-71.75900268554688,348,-5,"A","America/New_York","airport","OurAirports" 8291,"Earl L. Small Jr. Field/Stockmar Airport","Villa Rica","United States",\N,"20GA",33.756500244099996,-84.88469696039999,1110,-5,"A","America/New_York","airport","OurAirports" 8292,"Cartersville Airport","Cartersville","United States",\N,"KVPC",34.12310028076172,-84.84870147705078,759,-5,"A","America/New_York","airport","OurAirports" 8293,"Centre-Piedmont-Cherokee County Regional Airport","Centre","United States",\N,"KPYP",34.089977,-85.610069,596,-6,"A","America/Chicago","airport","OurAirports" 8294,"Richard B Russell Airport","Rome","United States","RMG","KRMG",34.3506011963,-85.15799713130001,644,-5,"A","America/New_York","airport","OurAirports" 8295,"Northeast Alabama Regional Airport","Gadsden","United States","GAD","KGAD",33.972599,-86.088996,569,-6,"A","America/Chicago","airport","OurAirports" 8296,"Knoxville Downtown Island Airport","Knoxville","United States",\N,"KDKX",35.96390151977539,-83.8739013671875,833,-5,"A","America/New_York","airport","OurAirports" 8297,"Barrow County Airport","Winder","United States","WDR","KWDR",33.98289871,-83.66739655,943,-5,"A","America/New_York","airport","OurAirports" 8298,"Plantation Airpark","Sylvania","United States",\N,"KJYL",32.645301818847656,-81.59709930419922,188,-5,"A","America/New_York","airport","OurAirports" 8299,"Dalton Municipal Airport","Dalton","United States","DNN","KDNN",34.72290039,-84.87020111,709,-5,"A","America/New_York","airport","OurAirports" 8300,"West Georgia Regional O V Gray Field","Carrollton","United States",\N,"KCTJ",33.63100051879883,-85.1520004272461,1161,-5,"A","America/New_York","airport","OurAirports" 8302,"LaGrange Callaway Airport","LaGrange","United States","LGC","KLGC",33.0089,-85.072601,693,-5,"A","America/New_York","airport","OurAirports" 8303,"Baldwin County Regional Airport","Milledgeville","United States",\N,"KMLJ",33.154202,-83.240701,385,-5,"A","America/New_York","airport","OurAirports" 8305,"Harris County Airport","Pine Mountain","United States","PIM","KPIM",32.8406982422,-84.8824005127,902,-5,"A","America/New_York","airport","OurAirports" 8306,"Peachtree City Falcon Field","Atlanta","United States",\N,"KFFC",33.3572998046875,-84.5718002319336,808,-5,"A","America/New_York","airport","OurAirports" 8308,"Lee Gilmer Memorial Airport","Gainesville","United States","GVL","KGVL",34.27259827,-83.8302002,1276,-5,"A","America/New_York","airport","OurAirports" 8312,"Harry Clever Field","New Philadelpha","United States","PHD","KPHD",40.470901489258,-81.419700622559,894,-5,"A","America/New_York","airport","OurAirports" 8313,"Darlington County Airport","Darlington","United States",\N,"KUDG",34.449401,-79.890098,192,-5,"A","America/New_York","airport","OurAirports" 8314,"Hilton Head Airport","Hilton Head Island","United States","HHH","KHXD",32.2243995667,-80.6975021362,19,-5,"A","America/New_York","airport","OurAirports" 8318,"Daniel Field","Augusta","United States","DNL","KDNL",33.4664993286,-82.0393981934,423,-5,"A","America/New_York","airport","OurAirports" 8319,"Foothills Regional Airport","Morganton","United States","MRN","KMRN",35.820202,-81.611397,1270,-5,"A","America/New_York","airport","OurAirports" 8320,"Pike County-Hatcher Field","Pikeville","United States","PVL","KPBX",37.5617981,-82.56639862,1473,-5,"A","America/New_York","airport","OurAirports" 8321,"Mallards Landing Airport","Locust Grove","United States",\N,"GA04",33.365699768066406,-84.16519927978516,837,-5,"A","America/New_York","airport","OurAirports" 8322,"Toccoa Airport - R.G. Letourneau Field","Toccoa","United States","TOC","KTOC",34.59379959,-83.29579926,996,-5,"A","America/New_York","airport","OurAirports" 8323,"Compton Abbas Aerodrome","Shaftesbury","United Kingdom",\N,"EGHA",50.967201232910156,-2.1536099910736084,811,0,"U","Europe/London","airport","OurAirports" 8328,"Suprunovka Airport","Poltava","Ukraine","PLV","UKHP",49.568599700927734,34.39720153808594,505,2,"U","Europe/Kiev","airport","OurAirports" 8331,"Aweil Airport","Aweil","Sudan",\N,"HSAW",8.767000198364258,27.399999618530273,1394,3,"U","Africa/Juba","airport","OurAirports" 8332,"Wau Airport","Wau","Sudan","WUU","HSWW",7.7258300781199996,27.9750003815,1529,3,"U","Africa/Juba","airport","OurAirports" 8333,"Humera Airport","Humera","Ethiopia","HUE","HAHU",14.25,36.58300018310547,1930,3,"U","Africa/Addis_Ababa","airport","OurAirports" 8334,"Moyale Airport","Moyale","Kenya","OYL","HKMY",3.46972,39.101398,2790,3,"U","Africa/Nairobi","airport","OurAirports" 8335,"Zagora Airport","Zagora","Morocco","OZG","GMAZ",30.3202991486,-5.86667013168,2631,0,"U","Africa/Casablanca","airport","OurAirports" 8336,"Yengema Airport","Yengema","Sierra Leone","WYE","GFYE",8.610469818115234,-11.04539966583252,1300,0,"U","Africa/Freetown","airport","OurAirports" 8337,"Gbangbatok Airport","Gbangbatok","Sierra Leone","GBK","GFGK",7.767000198364258,-12.383000373840332,75,0,"U","Africa/Freetown","airport","OurAirports" 8340,"Turukhansk Airport","Turukhansk","Russia","THX","UOTT",65.797203064,87.9353027344,128,7,"N","Asia/Krasnoyarsk","airport","OurAirports" 8341,"Podkamennaya Tunguska Airport","Bor","Russia","TGP","UNIP",61.589699,89.994003,213,7,"N","Asia/Krasnoyarsk","airport","OurAirports" 8342,"Fort Worth Alliance Airport","Fort Worth","United States","AFW","KAFW",32.9875984192,-97.31880187990001,722,-6,"A","America/Chicago","airport","OurAirports" 8343,"East Troy Municipal Airport","East Troy","United States",\N,"K57C",42.79719924926758,-88.37259674072266,860,-6,"A","America/Chicago","airport","OurAirports" 8344,"Kolpashevo Airport","Kolpashevo","Russia",\N,"UNLL",58.32529830932617,82.93250274658203,243,7,"N","Asia/Krasnoyarsk","airport","OurAirports" 8347,"Ali Al Salem Air Base","Kuwait","Kuwait",\N,"OKAS",29.34670066833496,47.52080154418945,472,3,"A","Asia/Kuwait","airport","OurAirports" 8348,"Renmark Airport","Renmark","Australia","RMK","YREN",-34.1963996887207,140.6739959716797,115,9.5,"O","Australia/Adelaide","airport","OurAirports" 8349,"Leigh Creek Airport","Leigh Creek","Australia","LGH","YLEC",-30.59830093383789,138.42599487304688,856,9.5,"O","Australia/Adelaide","airport","OurAirports" 8350,"Warburton Airport","Warburton Community","Australia",\N,"YWBR",-26.128299713134766,126.58300018310547,1500,8,"O","Australia/Perth","airport","OurAirports" 8351,"Cunderdin Airport","Cunderdin","Australia",\N,"YCUN",-31.62220001220703,117.21700286865234,705,8,"O","Australia/Perth","airport","OurAirports" 8352,"Rottnest Island Airport","Rottnest Island","Australia","RTS","YRTI",-32.006699,115.540001,12,8,"O","Australia/Perth","airport","OurAirports" 8353,"Forrest Airport","Forrest","Australia","FOS","YFRT",-30.83810043334961,128.11500549316406,511,8,"O","Australia/Perth","airport","OurAirports" 8354,"Ballarat Airport","Ballarat","Australia",\N,"YBLT",-37.51169967651367,143.79100036621094,1433,10,"O","Australia/Hobart","airport","OurAirports" 8355,"Keewaywin Airport","Keewaywin","Canada","KEW","CPV8",52.991100311299995,-92.8364028931,988,-6,"A","America/Winnipeg","airport","OurAirports" 8356,"Marathon Airport","Marathon","Canada","YSP","CYSP",48.75529861450195,-86.34439849853516,1035,-5,"A","America/Toronto","airport","OurAirports" 8357,"Hearst René Fontaine Municipal Airport","Hearst","Canada","YHF","CYHF",49.71419906616211,-83.68609619140625,827,-5,"A","America/Toronto","airport","OurAirports" 8358,"Hornepayne Municipal Airport","Hornepayne","Canada","YHN","CYHN",49.19309997558594,-84.75890350341797,1099,-5,"A","America/Toronto","airport","OurAirports" 8359,"Kirkland Lake Airport","Kirkland Lake","Canada","YKX","CYKX",48.21030044555664,-79.98139953613281,1157,-5,"A","America/Toronto","airport","OurAirports" 8360,"Manitouwadge Airport","Manitouwadge","Canada","YMG","CYMG",49.083900451660156,-85.86060333251953,1198,-5,"A","America/Toronto","airport","OurAirports" 8361,"Wawa Airport","Wawa","Canada","YXZ","CYXZ",47.96670150756836,-84.78669738769531,942,-5,"A","America/Toronto","airport","OurAirports" 8362,"Manitoulin East Municipal Airport","Manitowaning","Canada","YEM","CYEM",45.84280014038086,-81.85810089111328,869,-5,"A","America/Toronto","airport","OurAirports" 8363,"Slate Falls Airport","Slate Falls","Canada",\N,"CKD9",51.130001068115234,-91.66560363769531,1355,-6,"A","America/Winnipeg","airport","OurAirports" 8364,"Collingwood Airport","Collingwood","Canada",\N,"CNY3",44.4491996765,-80.1583023071,730,-5,"A","America/Toronto","airport","OurAirports" 8365,"Brantford Municipal Airport","Brantford","Canada",\N,"CYFD",43.13140106201172,-80.34249877929688,815,-5,"A","America/Toronto","airport","OurAirports" 8366,"Lawrence Municipal Airport","Lawrence","United States","LWC","KLWC",39.01119995,-95.21659851,833,-6,"A","America/Chicago","airport","OurAirports" 8367,"Wellington Municipal Airport","Wellington","United States",\N,"KEGT",37.32360076904297,-97.38829803466797,1277,-6,"A","America/Chicago","airport","OurAirports" 8379,"Pompano Beach Airpark","Pompano Beach","United States","PPM","KPMP",26.247100830078,-80.111099243164,19,-5,"A","America/New_York","airport","OurAirports" 8380,"Mallacoota Airport","Mallacoota","Australia","XMC","YMCO",-37.59830093383789,149.72000122070312,31,10,"U","Australia/Hobart","airport","OurAirports" 8381,"Majeed Bin Abdulaziz Airport","Al-Ula","Saudi Arabia","ULH","OEAO",26.48,38.1288888889,2050,3,"N","Asia/Riyadh","airport","OurAirports" 8394,"Shelby County Airport","Alabaster","United States",\N,"KEET",33.17699814,-86.78279877,586,-6,"A","America/Chicago","airport","OurAirports" 8395,"Yuendumu Airport","Yuendumu ","Australia","YUE","YYND",-22.254199981689453,131.78199768066406,2205,9.5,"O","Australia/Darwin","airport","OurAirports" 8397,"Sky Ranch At Carefree Airport","Carefree","United States",\N,"18AZ",33.81809997558594,-111.89800262451172,2568,-7,"N","America/Phoenix","airport","OurAirports" 8401,"Lombok International Airport","Praya","Indonesia","LOP","WADL",-8.757322,116.276675,319,8,"N","Asia/Makassar","airport","OurAirports" 8403,"One Hundred Mile House Airport","One Hundred Mile House","Canada",\N,"CAV3",51.64250183105469,-121.30699920654297,3055,-8,"A","America/Vancouver","airport","OurAirports" 8404,"South Cariboo Region / 108 Mile Airport","108 Mile Ranch","Canada","ZMH","CZML",51.736099243199995,-121.333000183,3126,-8,"A","America/Vancouver","airport","OurAirports" 8405,"Glasgow City Heliport","Glasgow","United Kingdom",\N,"EGEG",55.86138916015625,-4.2969441413879395,0,0,"E","Europe/London","airport","OurAirports" 8406,"Yarram Airport","Yarram","Australia",\N,"YYRM",-38.56669998168945,146.7550048828125,15,10,"O","Australia/Hobart","airport","OurAirports" 8407,"Handan Airport","Handan","China","HDG","ZBHD",36.5258333333,114.425555556,229,8,"N","Asia/Shanghai","airport","OurAirports" 8409,"Indianapolis Metropolitan Airport","Indianapolis","United States",\N,"KUMP",39.93519974,-86.04499817,811,-5,"A","America/New_York","airport","OurAirports" 8410,"London-Corbin Airport/Magee Field","London","United States","LOZ","KLOZ",37.0821990967,-84.08489990230001,1212,-5,"A","America/New_York","airport","OurAirports" 8412,"Simmons Army Air Field","Fredericksburg","United States","FBG","KFBG",35.13180161,-78.93669891,244,-5,"A","America/New_York","airport","OurAirports" 8414,"Modlin Airport","Warsaw","Poland","WMI","EPMO",52.451099,20.6518,341,1,"E","Europe/Warsaw","airport","OurAirports" 8417,"Jixi Xingkaihu Airport","Jixi","China","JXA","ZYJX",45.293,131.193,760,8,"N","Asia/Shanghai","airport","OurAirports" 8419,"Jeongseok Airport","Seogwipo","South Korea","JDG","RKPD",33.3996009827,126.711997986,1171,9,"U","Asia/Seoul","airport","OurAirports" 8423,"Gimli Industrial Park Airport","Gimli","Canada","YGM","CYGM",50.62810134887695,-97.04329681396484,753,-6,"A","America/Winnipeg","airport","OurAirports" 8426,"Matheson Island Airport","Matheson Island","Canada",\N,"CJT2",51.732200622558594,-96.93440246582031,725,-6,"A","America/Winnipeg","airport","OurAirports" 8427,"Tura Mountain Airport","Tura","Russia",\N,"UNIT",64.333511352539,100.4328918457,2044,7,"N","Asia/Krasnoyarsk","airport","OurAirports" 8428,"Beloyarskiy Airport","Beloyarsky","Russia","EYK","USHY",63.686901,66.698601,82,5,"N","Asia/Yekaterinburg","airport","OurAirports" 8430,"John H Batten Airport","Racine","United States","RAC","KRAC",42.7606010437,-87.8152008057,674,-6,"A","America/Chicago","airport","OurAirports" 8431,"Cesar Lim Rodriguez Airport","Taytay","Philippines","RZP","RPSD",10.81874,119.507697,80,8,"U","Asia/Manila","airport","OurAirports" 8432,"Gera-Leumnitz Airfield","Gera","Germany",\N,"EDAJ",50.881668,12.135833,1014,1,"E","Europe/Berlin","airport","OurAirports" 8435,"Kasimovo Airfield","Saint-Petersburg","Russia",\N,"XLLN",60.198299,30.334999,230,3,"N","Europe/Moscow","airport","OurAirports" 8438,"Terlet Glider Field","Arnhem","Netherlands",\N,"EHTL",52.057201,5.92444,276,1,"E","Europe/Amsterdam","airport","OurAirports" 8442,"Shigatse Air Base","Shigatse","China","RKZ","ZURK",29.3519,89.311401,3782,8,"N","Asia/Shanghai","airport","OurAirports" 8443,"Redlands Municipal Airport","Redlands","United States",\N,"KREI",34.08530044555664,-117.14600372314453,1571,-8,"A","America/Los_Angeles","airport","OurAirports" 8445,"Flabob Airport","Riverside","United States",\N,"KRIR",33.98970031738281,-117.41100311279297,764,-8,"A","America/Los_Angeles","airport","OurAirports" 8446,"Tacoma Narrows Airport","Tacoma","United States","TIW","KTIW",47.26789856,-122.5780029,294,-8,"A","America/Los_Angeles","airport","OurAirports" 8459,"Oerlinghausen Airport","TELGTE","Germany",\N,"EDLO",51.932220458984375,8.661666870117188,558,1,"E","Europe/Berlin","airport","OurAirports" 8460,"Jack Edwards Airport","Gulf Shores","United States","GUF","KJKA",30.29050064,-87.67179871,17,-6,"A","America/Chicago","airport","OurAirports" 8461,"General Villamil Airport","Isabela","Ecuador","IBB","SEII",-0.942628026009,-90.9530029297,35,-6,"N","Pacific/Galapagos","airport","OurAirports" 8462,"Balzers Heliport","Balzers","Switzerland",\N,"LSXB",47.0681,9.48111,1585,1,"E","Europe/Vaduz","airport","OurAirports" 8467,"Flugplatz Punitz","Punitz-Guessing","Austria",\N,"LOGG",47.14653,16.316843,950,1,"E","Europe/Vienna","airport","OurAirports" 8468,"Khmelnytskyi Airport","Khmeinitskiy","Ukraine","HMJ","UKLH",49.359699,26.933399,1150,2,"E","Europe/Kiev","airport","OurAirports" 8469,"Hiroshimanishi Airport","Hiroshima","Japan","HIW","RJBH",34.36690139770508,132.41400146484375,15,9,"N","Asia/Tokyo","airport","OurAirports" 8472,"Yalata Mission Airport","Yalata","Australia","KYI","YYTA",-31.470600128173828,131.8249969482422,0,9.5,"O","Australia/Adelaide","airport","OurAirports" 8473,"Hazleton Municipal Airport","Hazleton","United States","HZL","KHZL",40.986801147499996,-75.9949035645,1603,-5,"A","America/New_York","airport","OurAirports" 8474,"Greater Cumberland Regional Airport","Cumberland","United States","CBE","KCBE",39.615398407,-78.7609024048,775,-5,"A","America/New_York","airport","OurAirports" 8475,"Sugar Loaf Shores Airport","Key West","United States",\N,"7FA1",24.648799896240234,-81.57980346679688,4,-5,"A","America/New_York","airport","OurAirports" 8476,"Wyndham Airport","Wyndham","Australia","WYN","YWYM",-15.51140022277832,128.1529998779297,14,8,"U","Australia/Perth","airport","OurAirports" 8477,"Bob Quinn Lake Airport","Bob Quinn Lake","Canada","YBO","CBW4",56.9667015076,-130.25,2000,-8,"U","America/Vancouver","airport","OurAirports" 8480,"Msembe Airport","Msembe","Tanzania",\N,"HTMR",-7.684811,34.922282,2500,3,"U","Africa/Dar_es_Salaam","airport","OurAirports" 8482,"Grabtsevo Airport","Kaluga","Russia","KLF","UUBC",54.5499992371,36.3666687012,656,3,"N","Europe/Moscow","airport","OurAirports" 8493,"Tri-County Regional Airport","Lone Rock","United States","LNR","KLNR",43.2117004395,-90.181602478,717,-6,"A","America/Chicago","airport","OurAirports" 8494,"Price County Airport","Phillips","United States",\N,"KPBH",45.70899963378906,-90.40249633789062,1497,-6,"A","America/Chicago","airport","OurAirports" 8495,"Monroe Municipal Airport","Monroe","United States",\N,"KEFT",42.614898681640625,-89.59040069580078,1086,-6,"A","America/Chicago","airport","OurAirports" 8496,"Joliet Regional Airport","Joliet","United States","JOT","KJOT",41.51779938,-88.17549896,582,-6,"A","America/Chicago","airport","OurAirports" 8497,"Illinois Valley Regional Airport-Walter A Duncan Field","Peru","United States","VYS","KVYS",41.351898,-89.153099,654,-6,"A","America/Chicago","airport","OurAirports" 8499,"Jackson County Reynolds Field","Jackson","United States","JXN","KJXN",42.259799957300004,-84.45939636230001,1001,-5,"A","America/New_York","airport","OurAirports" 8500,"Fuerstenwalde Airport","Furstenwalde","Germany",\N,"EDAL",52.3905982971,14.0972003937,184,1,"E","Europe/Berlin","airport","OurAirports" 8501,"Eberswalde-Finow Airport","Eberswalde","Germany",\N,"EDAV",52.82722091674805,13.693611145019531,121,1,"E","Europe/Berlin","airport","OurAirports" 8502,"Joseph A. Hardy Connellsville Airport","Connellsville","United States",\N,"KVVS",39.95920181,-79.65709686,1267,-5,"A","America/New_York","airport","OurAirports" 8503,"Bedford County Airport","Bedford","United States",\N,"KHMZ",40.08530045,-78.5121994,1162,-5,"A","America/New_York","airport","OurAirports" 8504,"Wings Field","Philadelphia","United States","BBX","KLOM",40.1375007629,-75.2650985718,302,-5,"A","America/New_York","airport","OurAirports" 8505,"Okeechobee County Airport","Okeechobee","United States","OBE","KOBE",27.262800216699997,-80.8498001099,34,-5,"A","America/New_York","airport","OurAirports" 8506,"Sebring Regional Airport","Sebring","United States","SEF","KSEF",27.45639992,-81.3423996,62,-5,"A","America/New_York","airport","OurAirports" 8507,"Avon Park Executive Airport","Avon Park","United States","AVO","KAVO",27.59119987,-81.52780151,160,-5,"A","America/New_York","airport","OurAirports" 8508,"Winter Haven Regional Airport - Gilbert Field","Winter Haven","United States","GIF","KGIF",28.062901,-81.753304,145,-5,"A","America/New_York","airport","OurAirports" 8509,"Zephyrhills Municipal Airport","Zephyrhills","United States","ZPH","KZPH",28.2282009125,-82.15589904790001,90,-5,"A","America/New_York","airport","OurAirports" 8510,"Ocala International Airport - Jim Taylor Field","Ocala","United States","OCF","KOCF",29.17259979,-82.22419739,90,-5,"A","America/New_York","airport","OurAirports" 8511,"Jesup Wayne County Airport","Jesup","United States",\N,"KJES",31.55400085,-81.88249969,107,-5,"A","America/New_York","airport","OurAirports" 8512,"Madison Municipal Airport","Madison","United States",\N,"K52A",33.6120986938,-83.46040344240001,694,-5,"A","America/New_York","airport","OurAirports" 8513,"Newnan Coweta County Airport","Newnan","United States",\N,"KCCO",33.31159973144531,-84.7697982788086,970,-5,"A","America/New_York","airport","OurAirports" 8514,"Thomson-McDuffie County Airport","Thomson","United States",\N,"KHQU",33.52970123,-82.51650238,501,-5,"A","America/New_York","airport","OurAirports" 8515,"Aiken Regional Airport","Aiken","United States","AIK","KAIK",33.649399,-81.684998,528,-5,"A","America/New_York","airport","OurAirports" 8516,"Woodward Field","Camden","United States","CDN","KCDN",34.2835998535,-80.56490325930001,302,-5,"A","America/New_York","airport","OurAirports" 8517,"Lumberton Regional Airport","Lumberton","United States","LBT","KLBT",34.6099014282,-79.05940246579999,126,-5,"A","America/New_York","airport","OurAirports" 8519,"Moore County Airport","Pinehurst-Southern Pines","United States","SOP","KSOP",35.23740005,-79.3911972,455,-5,"A","America/New_York","airport","OurAirports" 8520,"Richmond County Airport","Rockingham","United States",\N,"KRCZ",34.8913,-79.759598,358,-5,"A","America/New_York","airport","OurAirports" 8524,"Baraboo Wisconsin Dells Airport","Baraboo","United States",\N,"KDLL",43.52270126,-89.77020264,979,-6,"A","America/Chicago","airport","OurAirports" 8526,"Statesville Regional Airport","Statesville","United States","SVH","KSVH",35.765300750732,-80.953903198242,968,-5,"A","America/New_York","airport","OurAirports" 8528,"Burlington Municipal Airport","Burlington","United States",\N,"KBUU",42.69070053100586,-88.30460357666016,779,-6,"A","America/Chicago","airport","OurAirports" 8532,"William T. Piper Memorial Airport","Lock Haven","United States","LHV","KLHV",41.13560104,-77.42230225,556,-5,"A","America/New_York","airport","OurAirports" 8538,"Zelienople Municipal Airport","Zelienople","United States",\N,"KPJC",40.80160141,-80.16069794,898,-5,"A","America/New_York","airport","OurAirports" 8542,"Lorain County Regional Airport","Lorain-Elyria","United States",\N,"KLPR",41.34429932,-82.17759705,793,-5,"A","America/New_York","airport","OurAirports" 8544,"Burke Lakefront Airport","Cleveland","United States","BKL","KBKL",41.51750183105469,-81.68329620361328,583,-5,"A","America/New_York","airport","OurAirports" 8545,"Chautauqua County-Dunkirk Airport","Dunkirk","United States","DKK","KDKK",42.49330139,-79.27200317,693,-5,"A","America/New_York","airport","OurAirports" 8548,"South Jersey Regional Airport","Mount Holly","United States","LLY","KVAY",39.942901611299995,-74.845703125,53,-5,"A","America/New_York","airport","OurAirports" 8550,"Linden Airport","Linden","United States","LDJ","KLDJ",40.617401123,-74.2445983887,23,-5,"A","America/New_York","airport","OurAirports" 8553,"Tri State Steuben County Airport","Angola","United States","ANQ","KANQ",41.639702,-85.083504,995,-5,"A","America/New_York","airport","OurAirports" 8555,"Warsaw Municipal Airport","Warsaw","United States",\N,"KASW",41.27470016479492,-85.84010314941406,850,-5,"A","America/New_York","airport","OurAirports" 8556,"Van Wert County Airport","Van Wert","United States",\N,"KVNW",40.86470031738281,-84.6093978881836,785,-5,"A","America/New_York","airport","OurAirports" 8559,"Brooks Field","Marshall","United States",\N,"KRMY",42.25120162963867,-84.95549774169922,941,-5,"A","America/New_York","airport","OurAirports" 8560,"Genesee County Airport","Batavia","United States",\N,"KGVQ",43.03170013,-78.16760254,914,-5,"A","America/New_York","airport","OurAirports" 8565,"Clearwater Air Park","Clearwater","United States","CLW","KCLW",27.9766998291,-82.7586975098,71,-5,"A","America/New_York","airport","OurAirports" 8577,"Orlampa Inc Airport","Forties Alpha","United Kingdom",\N,"FA08",28.166999816900002,-81.80809783939999,139,0,"U","America/New_York","airport","OurAirports" 8593,"Chicago Meigs Airport","Chicago","United States","CGX","KCGX",41.85879898071289,-87.60790252685547,593,-6,"A","America/Chicago","airport","OurAirports" 8601,"Pickens County Airport","Jasper","United States",\N,"KJZP",34.453399658203125,-84.4573974609375,1535,-5,"A","America/New_York","airport","OurAirports" 8603,"Saarmund Airport","Saarmund","Germany",\N,"EDCS",52.30833435058594,13.100556373596191,174,1,"E","Europe/Berlin","airport","OurAirports" 8604,"Grand Strand Airport","North Myrtle Beach","United States","CRE","KCRE",33.8116989136,-78.72389984130001,32,-5,"A","America/New_York","airport","OurAirports" 8606,"Lansing Municipal Airport","Lansing","United States",\N,"KIGQ",41.5349006652832,-87.52950286865234,620,-6,"A","America/Chicago","airport","OurAirports" 8608,"Ramona Airport","Ramona","United States",\N,"KRNM",33.0392,-116.915001,1395,-8,"A","America/Los_Angeles","airport","OurAirports" 8609,"Pont Sur Yonne Airfield","Pont Sur Yonne","France",\N,"LFGO",48.289172,3.247912,236,1,"E","Europe/Paris","airport","OurAirports" 8610,"St Florentin Cheu Airfield","St Florentin Cheu","France",\N,"LFGP",47.98019,3.775583,351,1,"E","Europe/Paris","airport","OurAirports" 8611,"Saulieu Liernais Airfield","Saulieu","France",\N,"LFEW",47.239399,4.26583,1722,1,"E","Europe/Paris","airport","OurAirports" 8612,"Olten Airport","Olten","Switzerland",\N,"LSPO",47.344398498535156,7.889440059661865,0,1,"E","Europe/Zurich","airport","OurAirports" 8613,"Buochs Airport","Buochs","Switzerland","BXO","LSZC",46.974444,8.396944,1475,1,"E","Europe/Zurich","airport","OurAirports" 8614,"Ambri Airport","Quinto","Switzerland",\N,"LSPM",46.512501,8.68978,3241,1,"E","Europe/Zurich","airport","OurAirports" 8615,"Lodrino Air Base","Lodrino","Switzerland",\N,"LSML",46.2958984375,8.992130279541016,0,1,"E","Europe/Zurich","airport","OurAirports" 8616,"Roudnice Airport","Roudnice nad Lebem","Czech Republic",\N,"LKRO",50.41059875,14.2261,732,1,"E","Europe/Prague","airport","OurAirports" 8617,"Usti Nad Labem Airfield","Usti Nad Labem","Czech Republic",\N,"LKUL",50.699699,13.9697,791,1,"E","Europe/Prague","airport","OurAirports" 8618,"Mauterndorf Airport","Mauterndorf","Austria",\N,"LOSM",47.13249969482422,13.696900367736816,3642,1,"E","Europe/Vienna","airport","OurAirports" 8619,"Nötsch Im Gailtal Airport","Notsch Im Gailtal","Austria",\N,"LOKN",46.58110046386719,13.629199981689453,1801,1,"E","Europe/Vienna","airport","OurAirports" 8620,"Sinsheim Airfield","Karlsruhe","Germany",\N,"EDTK",49.2472,8.8938,525,1,"E","Europe/Berlin","airport","OurAirports" 8621,"Weinheim/Bergstraße Airport","Weinheim","Germany",\N,"EDGZ",49.567501068115234,8.610555648803711,318,1,"E","Europe/Berlin","airport","OurAirports" 8622,"Meaux Esbly Airport","Meaux","France",\N,"LFPE",48.927799224853516,2.835279941558838,217,1,"E","Europe/Paris","airport","OurAirports" 8623,"Château-Thierry - Belleau Airfield","Chateau-Thierry","France",\N,"LFFH",49.0672,3.35694,728,1,"E","Europe/Paris","airport","OurAirports" 8624,"Branch County Memorial Airport","Coldwater","United States",\N,"KOEB",41.9333992,-85.05259705,959,-5,"A","America/New_York","airport","OurAirports" 8625,"Wilkes Barre Wyoming Valley Airport","Wilkes-Barre","United States","WBW","KWBW",41.2971992493,-75.8511962891,545,-5,"A","America/New_York","airport","OurAirports" 8626,"Willoughby Lost Nation Municipal Airport","Willoughby","United States","LNN","KLNN",41.683998107899995,-81.3897018433,626,-5,"A","America/New_York","airport","OurAirports" 8627,"Taoyuan Air Base","Taoyuan","Taiwan",\N,"RCGM",25.05660057067871,121.2442626953125,144,8,"U","Asia/Taipei","airport","OurAirports" 8628,"Uummannaq Heliport","Uummannaq","Greenland","UMD","BGUM",70.6804279261,-52.111630439799995,50,-3,"E","America/Godthab","airport","OurAirports" 8630,"Bayannur Tianjitai Airport","Bayannur","China","RLK","ZBYZ",40.926,107.7428,3400,8,"U","Asia/Shanghai","airport","OurAirports" 8631,"Capital City Airport","Frankfort","United States","FFT","KFFT",38.18249893,-84.90470123,806,-5,"A","America/New_York","airport","OurAirports" 8632,"Auburn Lewiston Municipal Airport","Lewiston","United States","LEW","KLEW",44.048500061,-70.2835006714,288,-5,"A","America/New_York","airport","OurAirports" 8633,"Inowroclaw Military Air Base","Inowroclaw","Poland",\N,"EPIR",52.8293991089,18.3306007385,259,1,"E","Europe/Warsaw","airport","OurAirports" 8634,"Pruszcz Gdanski Air Base","Pruszcz Gdansk","Poland",\N,"EPPR",54.248001,18.6716,21,1,"E","Europe/Warsaw","airport","OurAirports" 8639,"Bloyer Field","Tomah","United States",\N,"KY72",43.97499847,-90.48349762,966,-6,"A","America/Chicago","airport","OurAirports" 8641,"Marco Island Executive Airport","Marco Island Airport","United States","MRK","KMKY",25.995001,-81.672501,5,-5,"A","America/New_York","airport","OurAirports" 8644,"Drummond Island Airport","Drummond Island","United States","DRE","KDRM",46.0093002319,-83.74389648440001,668,-5,"A","America/New_York","airport","OurAirports" 8646,"Gladwin Zettel Memorial Airport","Gladwin","United States","GDW","KGDW",43.9706001282,-84.47499847410002,776,-5,"A","America/New_York","airport","OurAirports" 8648,"South Haven Area Regional Airport","South Haven","United States",\N,"KLWA",42.351200103759766,-86.25569915771484,666,-5,"A","America/New_York","airport","OurAirports" 8653,"Marshfield Municipal Airport","Marshfield","United States","MFI","KMFI",44.6369018555,-90.18930053710001,1277,-6,"A","America/Chicago","airport","OurAirports" 8654,"Alexander Field South Wood County Airport","Wisconsin Rapids","United States","ISW","KISW",44.3602981567,-89.83899688720001,1021,-6,"A","America/Chicago","airport","OurAirports" 8655,"Clinton Municipal Airport","Clinton","United States","CWI","KCWI",41.8311004639,-90.3291015625,708,-6,"A","America/Chicago","airport","OurAirports" 8658,"Beverly Municipal Airport","Beverly","United States","BVY","KBVY",42.584201812699995,-70.91649627689999,107,-5,"A","America/New_York","airport","OurAirports" 8660,"Nagaur Airport","Nagaur","India",\N,"VI73",27.20829963684082,73.7114028930664,950,5.5,"U","Asia/Calcutta","airport","OurAirports" 8661,"Ostafyevo International Airport","Moscow","Russia","OSF","UUMO",55.511667,37.507222,568,3,"N","Europe/Moscow","airport","OurAirports" 8663,"Trois-Rivières Airport","Trois Rivieres","Canada","YRQ","CYRQ",46.35279846191406,-72.67939758300781,199,-5,"A","America/Toronto","airport","OurAirports" 8664,"Poplar Bluff Municipal Airport","Poplar Bluff","United States","POF","KPOF",36.773899078369,-90.324897766113,331,-6,"A","America/Chicago","airport","OurAirports" 8665,"Somerset Airport","Somerville","United States",\N,"KSMQ",40.625999450683594,-74.67019653320312,105,-5,"A","America/New_York","airport","OurAirports" 8666,"Eastport Municipal Airport","Eastport","United States",\N,"KEPM",44.910099029541016,-67.01270294189453,45,-5,"A","America/New_York","airport","OurAirports" 8667,"Keokuk Municipal Airport","Keokuk","United States","EOK","KEOK",40.459899902299995,-91.4284973145,671,-6,"A","America/Chicago","airport","OurAirports" 8669,"Perth/Scone Airport","Perth","United Kingdom","PSL","EGPT",56.43920135498047,-3.372220039367676,397,0,"E","Europe/London","airport","OurAirports" 8670,"Caernarfon Airport","Caernarfon","United Kingdom",\N,"EGCK",53.101819,-4.337614,1,0,"E","Europe/London","airport","OurAirports" 8671,"Grefrath-Niershorst Airport","Grefrath","Germany",\N,"EDLF",51.33388900756836,6.3594441413879395,105,1,"E","Europe/Berlin","airport","OurAirports" 8681,"St Paul Downtown Holman Field","St. Paul","United States","STP","KSTP",44.93450164794922,-93.05999755859375,705,-6,"A","America/Chicago","airport","OurAirports" 8682,"Söderhamn Airport","Soderhamn","Sweden","SOO","ESNY",61.26150131225586,17.09910011291504,88,1,"E","Europe/Stockholm","airport","OurAirports" 8683,"Newcastle Aerodrome","Newcastle","Ireland",\N,"EINC",53.07109832763672,-6.0452799797058105,1,0,"E","Europe/Dublin","airport","OurAirports" 8684,"Saravane Airport","Saravane","Laos","VNA","VLSV",15.709439207700001,106.410698891,574,7,"U","Asia/Vientiane","airport","OurAirports" 8689,"Segeletz Airport","Segeletz","Germany",\N,"EDAI",52.82666778564453,12.541943550109863,141,1,"E","Europe/Berlin","airport","OurAirports" 8690,"Fuentemilanos Airport","Segovia","Spain",\N,"LEFM",40.888610839799995,-4.23750019073,3307,1,"E","Europe/Madrid","airport","OurAirports" 8691,"Akeno Airport","Akeno","Japan",\N,"RJOE",34.53329849243164,136.6719970703125,20,9,"U","Asia/Tokyo","airport","OurAirports" 8692,"Ust-Kamchatsk Airport","Ust Kamchatsk","Russia",\N,"UHPK",56.23860168457031,162.68800354003906,200,12,"N","Asia/Anadyr","airport","OurAirports" 8693,"Oconomowoc Airport","Oconomowoc","United States",\N,"0WI8",43.13890075683594,-88.47229766845703,885,-6,"A","America/Chicago","airport","OurAirports" 8694,"Kozyrevsk Airport","Kozyrevsk","Russia",\N,"UHPO",56.09000015258789,159.8766632080078,331,12,"N","Asia/Anadyr","airport","OurAirports" 8695,"Dikson Airport","Dikson","Russia","DKS","UODD",73.51780700683594,80.37966918945312,47,7,"N","Asia/Krasnoyarsk","airport","OurAirports" 8696,"Beverley Airport","Mine Site","Australia",\N,"YBEE",-30.18670082092285,139.55799865722656,116,9.5,"O","Australia/Adelaide","airport","OurAirports" 8698,"Bantry Aerodrome","Bantry","Ireland","BYT","EIBN",51.66859817504883,-9.484169960021973,7,0,"E","Europe/Dublin","airport","OurAirports" 8700,"Aliwal North Airport","Aliwal North","South Africa",\N,"FAAN",-30.68000030517578,26.729999542236328,4405,2,"U","Africa/Johannesburg","airport","OurAirports" 8701,"Alkantpan Copper Airport","Alkantpan","South Africa",\N,"FACO",-29.906400680541992,22.316699981689453,3589,2,"U","Africa/Johannesburg","airport","OurAirports" 8702,"Alldays Airport","Alldays","South Africa","ADY","FAAL",-22.6790008545,29.0555000305,2600,2,"U","Africa/Johannesburg","airport","OurAirports" 8703,"Bredasdorp Airport","Barberton","South Africa",\N,"FABR",-34.665,20.0628,30,2,"U","Africa/Johannesburg","airport","OurAirports" 8706,"Butler Co Regional Airport - Hogan Field","Hamilton","United States","HAO","KHAO",39.363800048799995,-84.5220031738,633,-5,"A","America/New_York","airport","OurAirports" 8707,"Bungoma Airport","Bungoma","Kenya",\N,"HKBU",0.5762079954147339,34.55345153808594,4726,3,"U","Africa/Nairobi","airport","OurAirports" 8708,"Bura East Airport","Bura","Kenya",\N,"HKBR",-1.100000023841858,39.95000076293945,345,3,"U","Africa/Nairobi","airport","OurAirports" 8709,"Busia Airport","Busia","Kenya",\N,"HKBA",0.4570850133895874,34.130279541015625,3989,3,"U","Africa/Nairobi","airport","OurAirports" 8710,"Embu Airport","Embu","Kenya",\N,"HKEM",-0.57327,37.49726,4150,3,"U","Africa/Nairobi","airport","OurAirports" 8711,"Garba Tula Airport","Garba Tula","Kenya",\N,"HKGT",0.533333,38.516667,2000,3,"U","Africa/Nairobi","airport","OurAirports" 8712,"Garissa Airport","Garissa","Kenya","GAS","HKGA",-0.4635080099105835,39.64830017089844,475,3,"U","Africa/Nairobi","airport","OurAirports" 8713,"Hola Airport","Hola","Kenya","HOA","HKHO",-1.5219999551773071,40.00400161743164,195,3,"U","Africa/Nairobi","airport","OurAirports" 8714,"Homa Bay Airport","Homa Bay","Kenya",\N,"HKHB",-0.6000000238418579,34.46699905395508,4280,3,"U","Africa/Nairobi","airport","OurAirports" 8715,"Isiolo Airport","Isiolo","Kenya",\N,"HKIS",0.33817094564437866,37.59169387817383,3495,3,"U","Africa/Nairobi","airport","OurAirports" 8717,"Kericho Airport","Kericho","Kenya","KEY","HKKR",-0.3899,35.242093,6446,3,"U","Africa/Nairobi","airport","OurAirports" 8718,"Kilaguni Airport","Kilaguni","Kenya","ILU","HKKL",-2.9106099605560303,38.06520080566406,2750,3,"U","Africa/Nairobi","airport","OurAirports" 8721,"Antsirabe Airport","Antsirabe","Madagascar","ATJ","FMME",-19.8392214824,47.063713073699994,4997,3,"U","Indian/Antananarivo","airport","OurAirports" 8722,"Bekily Airport","Bekily","Madagascar","OVA","FMSL",-24.235694754699995,45.3045272827,1270,3,"U","Indian/Antananarivo","airport","OurAirports" 8723,"Ust-Tsylma Airport","Ust-Tsylma","Russia","UTS","UUYX",65.43729400630001,52.20033645629999,262,3,"N","Europe/Moscow","airport","OurAirports" 8740,"Gorno-Altaysk Airport","Gorno-Altaysk","Russia","RGK","UNBG",51.9667015076,85.8332977295,965,7,"N","Asia/Krasnoyarsk","airport","OurAirports" 8742,"Fond du Lac County Airport","Fond du Lac","United States","FLD","KFLD",43.7711982727,-88.48840332030001,808,-6,"A","America/Chicago","airport","OurAirports" 8743,"Waupaca Municipal Airport","Waupaca","United States",\N,"KPCZ",44.33330154,-89.01979828,840,-6,"A","America/Chicago","airport","OurAirports" 8744,"Stevens Point Municipal Airport","Stevens Point","United States","STE","KSTE",44.5452003479,-89.530296325684,1110,-6,"A","America/Chicago","airport","OurAirports" 8745,"Mys Shmidta Airport","Mys Shmidta","Russia",\N,"UHMI",68.86830139160156,-179.3730010986328,20,12,"N","Asia/Anadyr","airport","OurAirports" 8746,"Moma Airport","Honuu","Russia","MQJ","UEMA",66.450861,143.261551,656,11,"N","Asia/Srednekolymsk","airport","OurAirports" 8747,"Luce County Airport","Newberry","United States",\N,"KERY",46.31119918823242,-85.4572982788086,869,-5,"A","America/New_York","airport","OurAirports" 8750,"Peenemünde Airport","Peenemunde","Germany","PEF","EDCP",54.1577796936,13.774443626399998,7,1,"E","Europe/Berlin","airport","OurAirports" 8751,"Góraszka Airport","Goraszka","Poland",\N,"EPGO",52.18444061279297,21.281110763549805,361,1,"E","Europe/Warsaw","airport","OurAirports" 8752,"Nusawiru Airport","Nusawiru","Indonesia","CJN","WI1A",-7.719895,108.488995,16,7,"N","Asia/Jakarta","airport","OurAirports" 8759,"Galion Municipal Airport","Galion","United States","GQQ","KGQQ",40.7533988953,-82.7238006592,1224,-5,"A","America/New_York","airport","OurAirports" 8761,"Tiputini Airport","Tiputini","Ecuador","TPN","SETI",-0.7761110067367554,-75.52639770507812,997,-5,"S","America/Guayaquil","airport","OurAirports" 8762,"Rio Amazonas Airport","Pastaza","Ecuador","PTZ","SESM",-1.5052399635299998,-78.0626983643,3465,-5,"S","America/Guayaquil","airport","OurAirports" 8763,"Clarksville–Montgomery County Regional Airport","Clarksville","United States","CKV","KCKV",36.6218986511,-87.4150009155,550,-6,"A","America/Chicago","airport","OurAirports" 8771,"Lompoc Airport","Lompoc","United States","LPC","KLPC",34.665599823,-120.468002319,88,-8,"A","America/Los_Angeles","airport","OurAirports" 8772,"Chester County G O Carlson Airport","Coatesville","United States","CTH","KMQS",39.97900009,-75.8655014,660,-5,"A","America/New_York","airport","OurAirports" 8773,"Bost Airport","Lashkar Gah","Afghanistan","BST","OABT",31.55970001220703,64.36499786376953,2464,4.5,"U","Asia/Kabul","airport","OurAirports" 8774,"Lankaran International Airport","Lankaran","Azerbaijan","LLK","UBBL",38.746398925799994,48.8180007935,30,4,"U","Asia/Baku","airport","OurAirports" 8775,"Gabala International Airport","Qabala","Azerbaijan","GBB","UBBQ",40.826667,47.7125,935,4,"E","Asia/Baku","airport","OurAirports" 8776,"Zaqatala International Airport","Zaqatala","Azerbaijan","ZTU","UBBY",41.562222,46.667221,1279,4,"E","Asia/Baku","airport","OurAirports" 8777,"Lake Placid Airport","Lake Placid","United States","LKP","KLKP",44.2644996643,-73.96189880370001,1747,-5,"A","America/New_York","airport","OurAirports" 8779,"Typliy Klyuch Airport","Khandyga","Russia","KDY","UEMH",62.7890014648,136.854995728,925,9,"N","Asia/Yakutsk","airport","OurAirports" 8780,"Magan Airport","Yakutsk","Russia","GYG","UEMM",62.103484,129.545288,577,9,"N","Asia/Yakutsk","airport","OurAirports" 8781,"Qianjiang Wulingshan Airport","Qianjiang","China","JIQ","ZUQJ",29.5133333333,108.831111111,2075,8,"N","Asia/Shanghai","airport","OurAirports" 8782,"Cooma Hospital Helipad","Yuzhno-Kurilsk","Russia",\N,"YXCM",-36.242155,149.130147,2656,10,"N","Australia/Sydney","airport","OurAirports" 8784,"Lima Allen County Airport","Lima","United States","AOH","KAOH",40.706902,-84.026703,975,-5,"A","America/New_York","airport","OurAirports" 8785,"Sondok Airport","Hamhung","North Korea","DSO","ZKSD",39.745201,127.473999,12,8.5,"U","Asia/Pyongyang","airport","OurAirports" 8789,"Malcolm McKinnon Airport","Brunswick","United States","SSI","KSSI",31.15180016,-81.39129639,19,-5,"A","America/New_York","airport","OurAirports" 8790,"Beaver County Airport","Beaver Falls","United States","BFP","KBVI",40.7724990845,-80.39140319820001,1253,-5,"A","America/New_York","airport","OurAirports" 8792,"Georgetown County Airport","Georgetown","United States","GGE","KGGE",33.3116989136,-79.3196029663,39,-5,"A","America/New_York","airport","OurAirports" 8793,"Hardwick Field","Cleveland","United States","HDI","KHDI",35.22010040283203,-84.8323974609375,874,-5,"A","America/New_York","airport","OurAirports" 8796,"Renton Municipal Airport","Renton","United States","RNT","KRNT",47.4930992126,-122.216003418,32,-8,"A","America/Los_Angeles","airport","OurAirports" 8798,"Brackett Field","La Verne","United States","POC","KPOC",34.091598510742,-117.78199768066,1011,-8,"A","America/Los_Angeles","airport","OurAirports" 8801,"Cross City Airport","Cross City","United States","CTY","KCTY",29.6354999542,-83.10479736330001,42,-5,"A","America/New_York","airport","OurAirports" 8802,"Oconee County Regional Airport","Clemson","United States","CEU","KCEU",34.6719017,-82.8864975,892,-5,"A","America/New_York","airport","OurAirports" 8804,"Beech Factory Airport","Wichita","United States","BEC","KBEC",37.694499969499994,-97.21499633790002,1408,-6,"A","America/Chicago","airport","OurAirports" 8807,"Tabing Airport","Padang","Indonesia",\N,"WIMG",-0.874989,100.351997,9,7,"U","Asia/Jakarta","airport","OurAirports" 8808,"Tom B. David Field","Calhoun","United States",\N,"KCZL",34.45539856,-84.93920135,647,-5,"A","America/New_York","airport","OurAirports" 8809,"Habersham County Airport","Cornelia","United States",\N,"KAJR",34.49990082,-83.55670166,1448,-5,"A","America/New_York","airport","OurAirports" 8811,"Georgetown Municipal Airport","Georgetown","United States",\N,"KGTU",30.678800582885742,-97.67939758300781,790,-6,"A","America/Chicago","airport","OurAirports" 8812,"Old Rhinebeck Airport","Rhinebeck","United States",\N,"NY94",41.9715004,-73.86289978,323,-5,"U","America/New_York","airport","OurAirports" 8813,"Duxford Aerodrome","Duxford","United Kingdom","QFO","EGSU",52.090801,0.131944,125,0,"E","Europe/London","airport","OurAirports" 8815,"Sidney Municipal-Lloyd W Carr Field","Sidney","United States","SNY","KSNY",41.10129929,-102.9850006,4313,-7,"A","America/Denver","airport","OurAirports" 8816,"Newnan Hospital Heliport","Bengassi","Mali",\N,"GA46",33.38090133666992,-84.8010025024414,960,0,"N","Africa/Bamako","airport","OurAirports" 8820,"Great Keppel Is Airport","Great Keppel Island","Australia","GKL","YGKL",-23.1833000183,150.942001343,21,10,"U","Australia/Brisbane","airport","OurAirports" 8821,"Roper Bar Airport","Roper Bar","Australia","RPB","YRRB",-14.734814,134.525485,92,9.5,"U","Australia/Darwin","airport","OurAirports" 8822,"Mount Garnet Airport","Mount Garnet","Australia",\N,"YMRT",-17.700000762939453,145.14999389648438,657,10,"U","Australia/Brisbane","airport","OurAirports" 8823,"Innisfail Airport","Innisfail","Australia","IFL","YIFL",-17.55940055847168,146.01199340820312,46,10,"U","Australia/Brisbane","airport","OurAirports" 8824,"Kalaeloa Airport","Kapolei","United States","JRF","PHJR",21.3074,-158.070009,30,-10,"U","Pacific/Honolulu","airport","OurAirports" 8825,"Bamiyan Airport","Bamyan","Afghanistan","BIN","OABN",34.81700134277344,67.81700134277344,8367,4.5,"N","Asia/Kabul","airport","OurAirports" 8826,"Changbaishan Airport","Baishan","China","NBS","ZYBS",42.066944,127.602222,2874,8,"N","Asia/Shanghai","airport","OurAirports" 8830,"Orang Airport","Chongjin","North Korea","RGO","ZKHM",41.428538,129.647555,12,8.5,"U","Asia/Pyongyang","airport","OurAirports" 8831,"Moomba Airport","Moomba","Australia","MOO","YOOM",-28.09939956665039,140.19700622558594,143,9.5,"O","Australia/Adelaide","airport","OurAirports" 8832,"Lublin Airport","Lublin","Poland","LUZ","EPLB",51.240278,22.713611,633,1,"E","Europe/Warsaw","airport","OurAirports" 8833,"Iosco County Airport","East Tawas","United States","ECA","K6D9",44.312801,-83.422302,606,-5,"A","America/New_York","airport","OurAirports" 8834,"Madison County Executive Airport-Tom Sharp Jr Field","Huntsville","United States",\N,"KMDQ",34.8614006,-86.55750275,756,-6,"A","America/Chicago","airport","OurAirports" 8835,"Leesburg Executive Airport","Leesburg","United States",\N,"KJYO",39.077999,-77.557503,389,-5,"A","America/New_York","airport","OurAirports" 8838,"Anoka County-Blaine (Janes Field) Airport","Anoka","United States",\N,"KANE",45.145,-93.211401,912,-6,"U","America/Chicago","airport","OurAirports" 8839,"Robinson Crusoe Airport","San Juan Bautista","Chile",\N,"SCIR",-33.6650009155,-78.9297027588,433,-4,"S","America/Santiago","airport","OurAirports" 8840,"Villa Airport","Maamigili","Maldives","VAM","VRMV",3.47055555556,72.8358333333,6,5,"U","Indian/Maldives","airport","OurAirports" 8845,"Lingling Airport","Yongzhou","China","LLF","ZGLG",26.338661,111.610043,340,8,"U","Asia/Shanghai","airport","OurAirports" 8846,"LoÅ¡inj Island Airport","Mali Losinj","Croatia","LSZ","LDLO",44.5657997131,14.3930997849,151,1,"E","Europe/Zagreb","airport","OurAirports" 8847,"Onslow Airport","Onslow","Australia","ONS","YOLW",-21.668300628662,115.1129989624,7,8,"O","Australia/Perth","airport","OurAirports" 8848,"Theodore Airport","Theodore","Australia","TDR","YTDR",-24.99329948425293,150.09300231933594,171,10,"N","Australia/Brisbane","airport","OurAirports" 8850,"Williamson Sodus Airport","Williamson","United States",\N,"KSDC",43.234699,-77.121,424,-5,"A","America/New_York","airport","OurAirports" 8853,"Fairoaks Airport","Fairoaks","United Kingdom",\N,"EGTF",51.3480987549,-0.558888971806,80,0,"U","Europe/London","airport","OurAirports" 8854,"Boulder Municipal Airport","Boulder","United States","WBU","KBDU",40.0393981934,-105.225997925,5288,-7,"A","America/Denver","airport","OurAirports" 8855,"Neustadt-Glewe Airport","Neustadt-Glewe","Germany",\N,"EDAN",53.35972213745117,11.615278244018555,115,1,"E","Europe/Berlin","airport","OurAirports" 8859,"Goetsenhoven Air Base","GOETSENHOVEN","Belgium",\N,"EBTN",50.781700134277344,4.957779884338379,246,1,"E","Europe/Brussels","airport","OurAirports" 8860,"Tutow Airport","Wildenrath","Germany",\N,"EDUW",53.92194366455078,13.218889236450195,26,1,"E","Europe/Berlin","airport","OurAirports" 8861,"Bremgarten Airport","Bremgarten","Germany",\N,"EDTG",47.9027786255,7.6177778244,696,1,"E","Europe/Berlin","airport","OurAirports" 8862,"Bitburg Airport","Birburg","Germany","BBJ","EDRB",49.945278,6.565,1220,1,"U","Europe/Berlin","airport","OurAirports" 8864,"Palo Alto Airport of Santa Clara County","Palo Alto","United States","PAO","KPAO",37.461101532,-122.114997864,4,-8,"A","America/Los_Angeles","airport","OurAirports" 8866,"Ust-Nera Airport","Ust-Nera","Russia","USR","UEMT",64.550003051758,143.11500549316,1805,10,"N","Asia/Vladivostok","airport","OurAirports" 8867,"LetiÅ¡tÄ› Vysoké Mýto","Vysoke Myto","Czech Republic",\N,"LKVM",49.926899,16.185801,991,1,"E","Europe/Prague","airport","OurAirports" 8868,"Spa (la Sauvenière) Airfield","Spa","Belgium",\N,"EBSP",50.482498,5.9103,1581,1,"E","Europe/Brussels","airport","OurAirports" 8869,"Falcon Field","Mesa","United States","MSC","KFFZ",33.4608001709,-111.727996826,1394,-7,"A","America/Phoenix","airport","OurAirports" 8870,"Coolidge Municipal Airport","Cooldige","United States",\N,"KP08",32.9359016418457,-111.427001953125,1574,-7,"A","America/Phoenix","airport","OurAirports" 8871,"Cottonwood Airport","Cottonwood","United States",\N,"KP52",34.7299995422,-112.035003662,3550,-7,"A","America/Phoenix","airport","OurAirports" 8872,"Namur-Suarlée Airfield","Namur","Belgium",\N,"EBNM",50.487999,4.76892,594,1,"E","Europe/Brussels","airport","OurAirports" 8873,"Kiewit Airfield Hasselt","Hasselt","Belgium",\N,"EBZH",50.970001,5.37507,141,1,"E","Europe/Brussels","airport","OurAirports" 8874,"Ak-Chin Regional Airport","Phoenix","United States",\N,"KA39",32.990806,-111.918528,1300,-7,"A","America/Phoenix","airport","OurAirports" 8875,"Wickenburg Municipal Airport","Wickenburg","United States",\N,"KE25",33.96889877,-112.7990036,2377,-7,"A","America/Phoenix","airport","OurAirports" 8876,"Yangzhou Taizhou Airport","Yangzhou","China","YTY","ZSYA",32.5634,119.7198,7,8,"N","Asia/Shanghai","airport","OurAirports" 8877,"Oakland County International Airport","Pontiac","United States","PTK","KPTK",42.665500640869,-83.420097351074,980,-5,"A","America/New_York","airport","OurAirports" 8880,"Kissidougou Airport","Kissidougou","Guinea","KSI","GUKU",9.1605596542358,-10.124400138855,1808,0,"N","Africa/Conakry","airport","OurAirports" 8888,"Dillant Hopkins Airport","Keene","United States","EEN","KEEN",42.898399353027344,-72.27079772949219,488,-5,"A","America/New_York","airport","OurAirports" 8889,"Tianshui Maijishan Airport","Tianshui","China","THQ","ZLTS",34.5593986511,105.86000061,3590,8,"N","Asia/Shanghai","airport","OurAirports" 8890,"Kawama Airport","Kawama","Cuba","VRO","MUKW",23.1240005493,-81.3015975952,16,-5,"U","America/Havana","airport","OurAirports" 8892,"Kooddoo Airport","Kooddoo","Maldives","GKK","VRMO",0.7324,73.4336,29,5,"U","Indian/Maldives","airport","OurAirports" 8893,"Glasgow Industrial Airport","Glasgow","United States",\N,"07MT",48.42110061645508,-106.52799987792969,2762,-7,"A","America/Denver","airport","OurAirports" 8894,"Rochester Airport","Rochester","United Kingdom","RCS","EGTO",51.351898193359375,0.5033329725265503,436,0,"E","Europe/London","airport","OurAirports" 8914,"Termas de Río Hondo international Airport","Rio Hondo","Argentina","RHD","SANR",-27.4966,-64.93595,935,-3,"S","America/Cordoba","airport","OurAirports" 8918,"Keetmanshoop Airport","Keetmanshoop","Namibia","KMP","FYKT",-26.5398006439209,18.111400604248047,3506,1,"U","Africa/Windhoek","airport","OurAirports" 8921,"Kangding Airport","Kangding","China","KGT","ZUKD",30.1575,101.734722,14042,8,"N","Asia/Shanghai","airport","OurAirports" 8924,"Velikiy Ustyug Airport","Veliky Ustyug","Russia","VUS","ULWU",60.788299560546875,46.2599983215332,331,3,"N","Europe/Moscow","airport","OurAirports" 8925,"Iowa City Municipal Airport","Iowa City","United States","IOW","KIOW",41.639198303200004,-91.5465011597,668,-6,"A","America/Chicago","airport","OurAirports" 8926,"Turpan Jiaohe Airport","Turpan","China","TLQ","ZWTP",43.0308,89.0987,934,8,"U","Asia/Shanghai","airport","OurAirports" 8927,"Lorenzo Airport","Morro de Sao Paulo","Brazil",\N,"SNCL",-13.389444351196289,-38.90999984741211,3,-3,"S","America/Fortaleza","airport","OurAirports" 8928,"Windom Municipal Airport","Windom","United States",\N,"KMWM",43.91339874267578,-95.1093978881836,1410,-6,"A","America/Chicago","airport","OurAirports" 8931,"Longview Ranch Airport","Longview","United States",\N,"OG39",44.66170120239258,-119.6520004272461,2080,-8,"A","America/Los_Angeles","airport","OurAirports" 8932,"Rothera Research Station","Rothera Research Station","United Kingdom",\N,"EGAR",-67.5675,-68.1274027778,9,12,"U","Antarctica/South_Pole","airport","OurAirports" 8933,"Sortavala Airport","Sortavala","Russia",\N,"ULPW",61.73609924316406,30.673599243164062,0,3,"N","Europe/Moscow","airport","OurAirports" 8935,"Lee Airport","Annapolis","United States","ANP","KANP",38.942902,-76.568398,34,-5,"A","America/New_York","airport","OurAirports" 8943,"Cuamba Airport","Cuamba","Mozambique","FXO","FQCB",-14.815,36.529999,1919,2,"N","Africa/Maputo","airport","OurAirports" 8944,"Bodaybo Airport","Bodaibo","Russia","ODO","UIKB",57.866100311299995,114.242996216,919,8,"N","Asia/Irkutsk","airport","OurAirports" 8946,"Zhytomyr Airport","Zhytomyr","Ukraine","ZTR","UKKV",50.270556,28.738611,0,2,"E","Europe/Kiev","airport","OurAirports" 8948,"Paluknys Airport","Paluknys","Lithuania",\N,"EYVP",54.48484802246094,24.98737335205078,400,2,"E","Europe/Vilnius","airport","OurAirports" 8949,"Mattala Rajapaksa International Airport","Mattala","Sri Lanka","HRI","VCRI",6.284467,81.124128,157,5.5,"N","Asia/Colombo","airport","OurAirports" 8950,"Pecos Municipal Airport","Pecos","United States","PEQ","KPEQ",31.382400512695,-103.51100158691,2613,-6,"A","America/Chicago","airport","OurAirports" 8951,"Hattiesburg Bobby L Chain Municipal Airport","Hattiesburg","United States","HBG","KHBG",31.26479912,-89.25279999,151,-6,"A","America/Chicago","airport","OurAirports" 8952,"Botucatu - Tancredo de Almeida Neves Airport","Botucatu","Brazil","QCJ","SDBK",-22.939501,-48.467999,3012,-3,"S","America/Sao_Paulo","airport","OurAirports" 8953,"Base Aérea Airport","Anapolis","Brazil",\N,"SBAN",-16.2292,-48.964298,3731,-3,"S","America/Sao_Paulo","airport","OurAirports" 8954,"Mário Pereira Lopes–São Carlos Airport","Sao Carlos","Brazil","QSC","SDSC",-21.875401,-47.903703,2649,-3,"S","America/Sao_Paulo","airport","OurAirports" 8958,"Chan Gurney Municipal Airport","Yankton","United States","YKN","KYKN",42.916698455811,-97.385902404785,1306,-6,"A","America/Chicago","airport","OurAirports" 8961,"Sir Bani Yas Airport","Sir Bani Yas Island","United Arab Emirates","XSB","OMBY",24.283611,52.580278,25,4,"U","Asia/Dubai","airport","OurAirports" 8963,"Bromont (Roland Desourdy) Airport","Bromont","Canada","ZBM","CZBM",45.2907981873,-72.74140167239999,375,-5,"A","America/Toronto","airport","OurAirports" 8965,"Beccles Airport","Beccles","United Kingdom",\N,"EGSM",52.435298919699996,1.6183300018300002,80,0,"E","Europe/London","airport","OurAirports" 8966,"Kratie Airport","Kratie","Cambodia","KTI","VDKT",12.48799991607666,106.05500030517578,0,7,"N","Asia/Phnom_Penh","airport","OurAirports" 8967,"Caldera Airport","Caldera","Chile",\N,"SCCL",-27.078100204467773,-70.79530334472656,180,-4,"U","America/Santiago","airport","OurAirports" 8968,"San Pedro de Atacama Airport","San Pedro de Atacama","Chile",\N,"SCPE",-22.92169952392578,-68.15840148925781,7960,-4,"U","America/Santiago","airport","OurAirports" 8969,"Copacabana Airport","Copacabana","Bolivia",\N,"SLCC",-16.191099166870117,-69.09559631347656,12591,-4,"U","America/La_Paz","airport","OurAirports" 8971,"Guyuan Liupanshan Airport","Guyuan","China","GYU","ZLGY",36.0788888889,106.216944444,5696,8,"U","Asia/Shanghai","airport","OurAirports" 8972,"RAF Brawdy","Brawdy","United Kingdom",\N,"EGDA",51.88375,-5.119972,0,0,"E","Europe/London","airport","OurAirports" 8974,"Changhai Airport","Changhai","China","CNI","ZYCH",39.2666666667,122.666944444,80,8,"N","Asia/Shanghai","airport","OurAirports" 8975,"Redhill Aerodrome","Redhill","United Kingdom","KRH","EGKR",51.2136001587,-0.138611003757,222,0,"E","Europe/London","airport","OurAirports" 8979,"Jiagedaqi Airport","Jiagedaqi District","China","JGD","ZYJD",50.371389,124.1175,1205,8,"N","Asia/Shanghai","airport","OurAirports" 8980,"Chinchilla Airport","Chinchilla","Australia","CCL","YCCA",-26.774999618530273,150.61700439453125,1028,10,"O","Australia/Brisbane","airport","OurAirports" 8982,"Hayward Executive Airport","Hayward","United States","HWD","KHWD",37.659198761,-122.122001648,52,-8,"A","America/Los_Angeles","airport","OurAirports" 8983,"Motueka Airport","Motueka","New Zealand","MZP","NZMK",-41.12329864501953,172.98899841308594,39,12,"Z","Pacific/Auckland","airport","OurAirports" 8984,"Shute Harbour Airport","Shute Harbour","Australia","JHQ","YSHR",-20.277221,148.755556,12,10,"O","Australia/Brisbane","airport","OurAirports" 8985,"Enstone Aerodrome","Enstone","United Kingdom",\N,"EGTN",51.928166666699994,-1.4285,550,0,"U","Europe/London","airport","OurAirports" 8989,"Ann Arbor Municipal Airport","Ann Arbor","United States","ARB","KARB",42.2229995728,-83.74559783939999,839,-5,"A","America/New_York","airport","OurAirports" 8994,"Shepparton Airport","Shepparton","Australia","SHT","YSHT",-36.42890167236328,145.39300537109375,374,10,"O","Australia/Hobart","airport","OurAirports" 8995,"Temora Airport","Temora","Australia","TEM","YTEM",-34.4213981628418,147.51199340820312,921,10,"O","Australia/Sydney","airport","OurAirports" 8996,"Gayndah Airport","Gayndah","Australia","GAH","YGAY",-25.61440086364746,151.61900329589844,369,10,"N","Australia/Brisbane","airport","OurAirports" 8998,"Wilcannia Airport","Wilcannia","Australia","WIO","YWCA",-31.526399612426758,143.375,250,10,"O","Australia/Sydney","airport","OurAirports" 9001,"Ivanhoe Airport","Ivanhoe","Australia",\N,"YIVO",-32.88330078125,144.30999755859375,330,10,"O","Australia/Sydney","airport","OurAirports" 9002,"Menindee Airport","Menindee","Australia",\N,"YMED",-32.36669921875,142.40499877929688,0,10,"O","Australia/Sydney","airport","OurAirports" 9004,"Pooncarie Airport","Pooncarie","Australia",\N,"YPCE",-33.36669921875,142.58799743652344,50,10,"O","Australia/Sydney","airport","OurAirports" 9006,"Tilpa Airport","Tilpa","Australia",\N,"YTLP",-30.933300018310547,144.41700744628906,0,10,"O","Australia/Sydney","airport","OurAirports" 9008,"Reichenbach Air Base","Reichenbach im Kandertal","Switzerland",\N,"LSGR",46.61360168457031,7.6777801513671875,2385,1,"E","Europe/Zurich","airport","OurAirports" 9025,"Bijie Feixiong Airport","Bijie","China","BFJ","ZUBJ",27.267066,105.472097,4751,8,"N","Asia/Shanghai","airport","OurAirports" 9026,"Lensk Airport","Lensk","Russia","ULK","UERL",60.7206001282,114.825996399,801,9,"N","Asia/Yakutsk","airport","OurAirports" 9042,"Kavalerovo Airport","Kavalerovo","Russia","KVR","UHWK",44.2726,135.029,730,10,"N","Asia/Vladivostok","airport","OurAirports" 9043,"IÄŸdır Airport","Igdir","Turkey","IGD","LTCT",39.9766273499,43.8766479492,3101,3,"E","Europe/Istanbul","airport","OurAirports" 9044,"Åžanlıurfa GAP Airport","Sanliurfa","Turkey","GNY","LTCS",37.445663,38.895592,2708,3,"E","Europe/Istanbul","airport","OurAirports" 9045,"Zafer Airport","Kutahya","Turkey","KZR","LTBZ",39.113079,30.128111,3327,3,"E","Europe/Istanbul","airport","OurAirports" 9048,"Velikiye Luki Airport","Velikiye Luki","Russia","VLU","ULOL",56.381099700927734,30.60810089111328,328,3,"N","Europe/Moscow","airport","OurAirports" 9053,"Yelahanka Air Force Station","Bangalore","India",\N,"VOYK",13.135499954223633,77.60600280761719,3045,5.5,"N","Asia/Calcutta","airport","OurAirports" 9054,"Yeltsovka Airport","Novosibirsk","Russia",\N,"UNNE",55.09239959716797,83.00450134277344,617,7,"N","Asia/Krasnoyarsk","airport","OurAirports" 9062,"Kodinsk Airport","Kodinsk","Russia",\N,"UNKI",58.479400634765625,99.09390258789062,0,7,"N","Asia/Krasnoyarsk","airport","OurAirports" 9065,"Lake Macquarie Airport","Lake Macquarie","Australia","BEO","YPEC",-33.0667,151.647995,2,10,"O","Australia/Sydney","airport","OurAirports" 9066,"Henry County Airport","Hampton","United States",\N,"K4A7",33.389099,-84.332397,874,-5,"A","America/New_York","airport","OurAirports" 9068,"Brampton Island Airport","Brampton Island","Australia","BMP","YBPI",-20.803300857543945,149.27000427246094,11,10,"O","Australia/Brisbane","airport","OurAirports" 9071,"Alameda Naval Air Station","Alameda","United States","NGZ","KNGZ",37.78889846801758,-122.31999969482422,10,-8,"U","America/Los_Angeles","airport","OurAirports" 9075,"Endelave Flyveplads","Endelage","Denmark",\N,"EKEL",55.7565,10.2485,15,1,"E","Europe/Copenhagen","airport","OurAirports" 9076,"St. Johann In Tirol Airport","St. Johann in Tirol","Austria",\N,"LOIJ",47.5201,12.4497,2198,1,"E","Europe/Vienna","airport","OurAirports" 9079,"Thalmässing-Waizenhofen Airport","Thalmaessing","Germany",\N,"EDPW",49.06416702270508,11.209166526794434,1893,1,"E","Europe/Berlin","airport","OurAirports" 9088,"Cochrane Airport","Cochrane","Canada","YCN","CYCN",49.10559844970703,-81.01360321044922,861,-5,"A","America/Toronto","airport","OurAirports" 9089,"Estadual Arthur Siqueira Airport","Braganca Paulista","Brazil","BJP","SBBP",-22.979162,-46.537508,2887,-3,"S","America/Sao_Paulo","airport","OurAirports" 9090,"Busselton Regional Airport","Brusselton","Australia","BQB","YBLN",-33.6884231567,115.401596069,55,8,"O","Australia/Perth","airport","OurAirports" 9091,"Srednekolymsk Airport","Srednekolymsk","Russia","SEK","UESK",67.4805,153.7364,60,11,"N","Asia/Srednekolymsk","airport","OurAirports" 9093,"Comarapa Airport","Salt Lake City","United States",\N,"SLCR",-17.91360092163086,-64.5177993774414,6186,-4,"A","America/La_Paz","airport","OurAirports" 9095,"Inverell Airport","Inverell","Australia","IVR","YIVL",-29.888299942,151.143997192,2667,10,"O","Australia/Sydney","airport","OurAirports" 9096,"Glen Innes Airport","Glen Innes","Australia","GLI","YGLI",-29.674999237060547,151.68899536132812,3433,10,"O","Australia/Sydney","airport","OurAirports" 9100,"Ansbach-Petersdorf Airport","Ansbach","Germany",\N,"EDQF",49.361111,10.669444,1371,1,"E","Europe/Berlin","airport","OurAirports" 9102,"Immokalee Regional Airport","Immokalee ","United States","IMM","KIMM",26.43320084,-81.40100098,37,-5,"A","America/New_York","airport","OurAirports" 9103,"Maranggo Airport","Sulawesi Tenggara","Indonesia","TQQ","WA44",-5.7645702362061,123.91699981689,169,8,"N","Asia/Makassar","airport","OurAirports" 9104,"Rancho San Simeon Airport","Cambria","United States",\N,"66CA",35.60770034790039,-121.11000061035156,320,-8,"A","America/Los_Angeles","airport","OurAirports" 9107,"Yichun Mingyueshan Airport","Yichun","China","YIC","ZSYC",27.8025,114.3062,430,8,"U","Asia/Shanghai","airport","OurAirports" 9120,"Dinwiddie County Airport","Petersburg","United States","PTB","KPTB",37.183799743652,-77.507400512695,193,-5,"A","America/New_York","airport","OurAirports" 9123,"Kasongo Airport","Kasongo","Congo (Kinshasa)",\N,"FZOK",-4.5329999923706055,26.617000579833984,1785,2,"U","Africa/Lubumbashi","airport","OurAirports" 9124,"McMurdo Station Pegasus Field","McMurdo Station","Antarctica",\N,"NZPG",-77.9634017944336,166.52499389648438,18,12,"Z","Antarctica/South_Pole","airport","OurAirports" 9125,"Klatovy Airport","Klatovy","Czech Republic",\N,"LKKT",49.41830062866211,13.321900367736816,1299,1,"E","Europe/Prague","airport","OurAirports" 9126,"Sheboygan County Memorial Airport","Sheboygan","United States","SBM","KSBM",43.76959991,-87.85140228,755,-6,"A","America/Chicago","airport","OurAirports" 9127,"Fortescue - Dave Forrest Aerodrome","Cloudbreak","Australia","KFE","YFDF",-22.290754,119.437143,1555,8,"N","Australia/Perth","airport","OurAirports" 9129,"Kangel Danda Airport","Kangel Danda","Nepal",\N,"VNKL",27.4106333137,86.6465950012,0,5.75,"N","Asia/Katmandu","airport","OurAirports" 9132,"Bajura Airport","Bajura","Nepal","BJU","VNBR",29.50200080871582,81.66899871826172,4300,5.75,"N","Asia/Katmandu","airport","OurAirports" 9134,"Chara Airport","Chara","Russia",\N,"UIAR",56.913333892822266,118.2699966430664,2201,9,"N","Asia/Yakutsk","airport","OurAirports" 9136,"Herning Airport","Herning","Denmark",\N,"EKHG",56.18470001220703,9.044449806213379,167,1,"E","Europe/Copenhagen","airport","OurAirports" 9137,"Oberschleißheim Airfield","Schleissheim","Germany",\N,"EDNX",48.239445,11.561389,1594,1,"E","Europe/Berlin","airport","OurAirports" 9138,"Pinal Airpark","Marana","United States","MZJ","KMZJ",32.5106010437,-111.32800293,1893,-7,"N","America/Phoenix","airport","OurAirports" 9139,"Glendale Municipal Airport","Glendale","United States",\N,"KGEU",33.52690124511719,-112.29499816894531,1071,-7,"N","America/Phoenix","airport","OurAirports" 9140,"Safford Regional Airport","Safford","United States","SAD","KSAD",32.85480118,-109.6350021,3179,-7,"N","America/Phoenix","airport","OurAirports" 9141,"Verden-Scharnhorst Airfield","Verden","Germany",\N,"EDWV",52.965279,9.282778,144,1,"E","Europe/Berlin","airport","OurAirports" 9146,"Solomon Airport","Solomon","Australia","SLJ","YSOL",-22.2554,117.7627,2030,8,"N","Australia/Perth","airport","OurAirports" 9147,"Nittenau-Bruck Airport","Nittenau","Germany",\N,"EDNM",49.22249984741211,12.296667098999023,1161,1,"E","Europe/Berlin","airport","OurAirports" 9148,"Kerama Airport","Kerama","Japan","KJP","ROKR",26.168300628699996,127.292999268,156,9,"N","Asia/Tokyo","airport","OurAirports" 9149,"Americana Airport","Americana","Brazil",\N,"SDAI",-22.755800247192383,-47.26940155029297,2085,-3,"S","America/Sao_Paulo","airport","OurAirports" 9156,"Ekibastuz Airport","Ekibastuz","Kazakhstan","EKB","UASB",51.590999603271484,75.21499633789062,621,6,"N","Asia/Qyzylorda","airport","OurAirports" 9162,"Adamovka","Adamovka","Russia",\N,"UWOD",51.5,59.936111,0,5,"N","Asia/Yekaterinburg","airport","OurAirports" 9163,"Kvarkeno","Kvarkeno","Russia",\N,"UWOH",52.078333,59.683333,0,5,"N","Asia/Yekaterinburg","airport","OurAirports" 9164,"Sikeston Memorial Municipal Airport","Sikeston","United States","SIK","KSIK",36.898899078369,-89.561798095703,315,-6,"A","America/Chicago","airport","OurAirports" 9175,"Tetiaroa Airport","Tetiaroa","French Polynesia","TTI","NTTE",-17.0132999420166,-149.58700561523438,7,-10,"N","Pacific/Tahiti","airport","OurAirports" 9178,"Floyd Bennett Memorial Airport","Queensbury","United States","GFL","KGFL",43.3412017822,-73.6102981567,328,-5,"A","America/New_York","airport","OurAirports" 9179,"Saratoga County Airport","Ballston Spa","United States",\N,"K5B2",43.05130005,-73.86119843,434,-5,"A","America/New_York","airport","OurAirports" 9182,"Crystal River Airport","Crystal River","United States",\N,"KCGC",28.867300033569336,-82.57129669189453,9,-5,"A","America/New_York","airport","OurAirports" 9183,"Martin State Airport","Baltimore","United States","MTN","KMTN",39.325699,-76.413803,21,-5,"A","America/New_York","airport","OurAirports" 9184,"Lincoln Regional Karl Harder Field","Lincoln","United States",\N,"KLHM",38.90919876098633,-121.35099792480469,121,-8,"A","America/Los_Angeles","airport","OurAirports" 9185,"Fostoria Metropolitan Airport","Fostoria","United States",\N,"KFZI",41.19079971,-83.39450073,752,-5,"A","America/New_York","airport","OurAirports" 9186,"Eastern Slopes Regional Airport","Fryeburg","United States","FRY","KIZG",43.991100311299995,-70.9478988647,454,-5,"A","America/New_York","airport","OurAirports" 9187,"Coral Creek Airport","Placida","United States",\N,"FA54",26.85449981689453,-82.2511978149414,4,-5,"A","America/New_York","airport","OurAirports" 9188,"Lakefront Airport","New Orleans","United States","NEW","KNEW",30.042400360107,-90.028297424316,8,-6,"A","America/Chicago","airport","OurAirports" 9189,"Coeur D'Alene - Pappy Boyington Field","Coeur d'Alene","United States","COE","KCOE",47.77429962,-116.8199997,2320,-8,"A","America/Los_Angeles","airport","OurAirports" 9190,"Beaumont Municipal Airport","Beaumont","United States","BMT","KBMT",30.0706996918,-94.21579742430002,32,-6,"A","America/Chicago","airport","OurAirports" 9191,"Vermilion Regional Airport","Danville","United States","DNV","KDNV",40.19919968,-87.59590149,697,-6,"A","America/Chicago","airport","OurAirports" 9193,"Coonabarabran Airport","Coonabarabran","Australia","COJ","YCBB",-31.332500457763672,149.26699829101562,2117,10,"O","Australia/Sydney","airport","OurAirports" 9199,"Space Coast Regional Airport","Titusville","United States","TIX","KTIX",28.514799118042,-80.799201965332,34,-5,"A","America/New_York","airport","OurAirports" 9205,"Bumi Airport","Bumi Hills","Zimbabwe","BZH","FVBM",-16.8169994354,28.3500003815,1650,2,"N","Africa/Harare","airport","OurAirports" 9207,"Warnervale Airport","Warnervale Airport","Australia",\N,"YWVA",-33.240278,151.429722,25,10,"U","Australia/Sydney","airport","OurAirports" 9215,"Bouarfa Airport","Bouarfa","Morocco","UAR","GMFB",32.5143055556,-1.98305555556,3630,0,"N","Africa/Casablanca","airport","OurAirports" 9218,"Nyeri Airport","NYERI","Kenya","NYE","HKNI",-0.3644140064716339,36.978485107421875,5830,3,"U","Africa/Nairobi","airport","OurAirports" 9225,"Andrau Airpark","Houston","United States","AAP","KAAP",29.722499847399998,-95.58830261230001,79,-6,"A","America/Chicago","airport","OurAirports" 9226,"Flying Cloud Airport","Eden Prairie","United States","FCM","KFCM",44.8272018433,-93.45709991460001,906,-6,"A","America/Chicago","airport","OurAirports" 9227,"Likoma Island Airport","Likoma Island","Malawi","LIX","FWLK",-12.075833,34.737222,1600,2,"N","Africa/Blantyre","airport","OurAirports" 9228,"Johnson County Executive Airport","Olathe","United States","OJC","KOJC",38.84759903,-94.73760223,1096,-6,"A","America/Chicago","airport","OurAirports" 9229,"Sigiriya Air Force Base","Sigiriya","Sri Lanka","GIU","VCCS",7.956669807430001,80.7285003662,630,5.5,"N","Asia/Colombo","airport","OurAirports" 9232,"Neumünster Airport","Neumuenster","Germany","EUM","EDHN",54.079444885253906,9.941389083862305,72,1,"E","Europe/Berlin","airport","OurAirports" 9233,"Tak Airport","Tak","Thailand","TKT","VTPT",16.895999908447266,99.25330352783203,478,7,"N","Asia/Bangkok","airport","OurAirports" 9236,"Barrie-Orillia (Lake Simcoe Regional Airport)","Barrie-Orillia","Canada","YLK","CYLS",44.4852981567,-79.55560302730001,972,-5,"A","America/Toronto","airport","OurAirports" 9237,"Huronia Airport","Midland","Canada",\N,"CYEE",44.6833000183,-79.9282989502,770,-5,"A","America/Toronto","airport","OurAirports" 9238,"Markham Airport","Markham","Canada",\N,"CNU8",43.93579864501953,-79.26219940185547,807,-5,"A","America/Toronto","airport","OurAirports" 9239,"Stanhope Municipal Airport","Haliburton","Canada",\N,"CND4",45.1108333333,-78.64,1066,-5,"A","America/Toronto","airport","OurAirports" 9240,"Kawartha Lakes (Lindsay) Airport","Lindsay","Canada",\N,"CNF4",44.3647,-78.783897,882,-5,"A","America/Toronto","airport","OurAirports" 9241,"Niagara District Airport","Saint Catherines","Canada","YCM","CYSN",43.19169998168945,-79.17169952392578,321,-5,"A","America/Toronto","airport","OurAirports" 9243,"Edenvale Aerodrome","Edenvale","Canada",\N,"CNV8",44.441101,-79.962799,718,-5,"A","America/Toronto","airport","OurAirports" 9244,"Orillia Airport","Orillia","Canada",\N,"CNJ4",44.67765578389999,-79.31021690370001,725,-5,"A","America/Toronto","airport","OurAirports" 9245,"Holland Landing Airpark","Holland Landing","Canada",\N,"CLA4",44.08940124511719,-79.49500274658203,855,-5,"A","America/Toronto","airport","OurAirports" 9247,"Parry Sound Area Municipal Airport","Parry Sound","Canada","YPD","CNK4",45.2575,-79.829697,832,-5,"A","America/Toronto","airport","OurAirports" 9248,"Hanover / Saugeen Municipal Airport","Hanover","Canada",\N,"CYHS",44.158298,-81.062798,939,-5,"A","America/Toronto","airport","OurAirports" 9249,"Brandywine Airport","West Goshen Township","United States",\N,"KOQN",39.9901008605957,-75.58190155029297,466,-5,"A","America/New_York","airport","OurAirports" 9251,"Manassas Regional Airport/Harry P. Davis Field","Manassas","United States","MNZ","KHEF",38.72140121,-77.51540375,192,-5,"A","America/New_York","airport","OurAirports" 9252,"Texas Gulf Coast Regional Airport","Angleton","United States","LJN","KLBX",29.1086006165,-95.462097168,25,-6,"A","America/Chicago","airport","OurAirports" 9253,"Bubovice Airport","Bubovice","Czech Republic",\N,"LKBU",49.97439956665039,14.178099632263184,1401,1,"E","Europe/Prague","airport","OurAirports" 9255,"Rakkestad Astorp Airport","Rakkestad","Norway",\N,"ENRK",59.397499,11.3469,400,1,"E","Europe/Oslo","airport","OurAirports" 9272,"Bingöl Çeltiksuyu Airport","Bingol","Turkey","BGG","LTCU",38.8592605591,40.5959625244,3506,3,"E","Europe/Istanbul","airport","OurAirports" 9273,"Kastamonu Airport","Kastamonu","Turkey","KFS","LTAL",41.31420135498047,33.795799255371094,3520,3,"E","Europe/Istanbul","airport","OurAirports" 9276,"Elstree Airfield","Elstree","United Kingdom",\N,"EGTR",51.6557998657,-0.325832992792,332,0,"E","Europe/London","airport","OurAirports" 9277,"Sandtoft Airfield","Sandtoft","United Kingdom",\N,"EGCF",53.559700012200004,-0.8583329916,11,0,"E","Europe/London","airport","OurAirports" 9290,"Torit Airport","Torit","South Sudan",\N,"HSTR",4.400000095367432,32.58300018310547,2050,3,"N","Africa/Juba","airport","OurAirports" 9305,"Shelby County Airport","Shelbyville","United States",\N,"K2H0",39.410400390599996,-88.8453979492,618,-6,"A","America/Chicago","airport","OurAirports" 9308,"Lüliang Airport","Lvliang","China","LLV","ZBLL",37.683333,111.142778,0,8,"N","Asia/Shanghai","airport","OurAirports" 9310,"Daocheng Yading Airport","Daocheng","China","DCY","ZUDC",29.323056,100.053333,14472,8,"N","Asia/Shanghai","airport","OurAirports" 9311,"Gannan Xiahe Airport","Xiahe city","China","GXH","ZLXH",34.8105,102.6447,10510,8,"N","Asia/Shanghai","airport","OurAirports" 9317,"Vängsö Airport","Vangso","Sweden",\N,"ESSZ",59.10110092163086,17.21109962463379,0,1,"E","Europe/Stockholm","airport","OurAirports" 9327,"Comiso Airport","Comiso","Italy","CIY","LICB",36.994601,14.607182,623,1,"E","Europe/Rome","airport","OurAirports" 9348,"Enumclaw Airport","Enumclaw","United States",\N,"WA77",47.195701599121094,-122.02200317382812,738,-8,"A","America/Los_Angeles","airport","OurAirports" 9371,"Markovo Airport","Markovo","Russia","KVM","UHMO",64.667,170.417007,0,12,"N","Asia/Anadyr","airport","OurAirports" 9372,"Seymchan Airport","Seymchan","Russia",\N,"UHMS",62.920780181884766,152.4227752685547,679,11,"N","Asia/Srednekolymsk","airport","OurAirports" 9373,"Zyryanka Airport","Zyryanka","Russia","ZKP","UESU",65.7485,150.8889,140,11,"N","Asia/Srednekolymsk","airport","OurAirports" 9374,"Susuman Airport","Susuman","Russia",\N,"UHMH",62.766666412353516,148.14666748046875,2129,11,"N","Asia/Srednekolymsk","airport","OurAirports" 9376,"Ust-Maya Airport","Ust-Maya","Russia","UMS","UEMU",60.356998443604,134.43499755859,561,9,"N","Asia/Yakutsk","airport","OurAirports" 9377,"Aldan Airport","Aldan","Russia","ADH","UEEA",58.60279846191406,125.40899658203125,2241,9,"N","Asia/Yakutsk","airport","OurAirports" 9378,"Olyokminsk Airport","Olekminsk","Russia","OLZ","UEMO",60.397499,120.471001,656,9,"N","Asia/Yakutsk","airport","OurAirports" 9379,"Vitim Airport","Vitim","Russia",\N,"UERT",59.458,112.563004,610,9,"N","Asia/Yakutsk","airport","OurAirports" 9380,"Pellworm Field","Pellworm","Germany",\N,"EDHP",54.5363883972,8.68000030518,3,1,"E","Europe/Berlin","airport","OurAirports" 9386,"Xinyuan Nalati Airport","Xinyuan","China","NLT","ZWNL",43.4318,83.3786,3050,8,"U","Asia/Shanghai","airport","OurAirports" 9387,"Port Alsworth Airport","Port alsworth","United States","PTA","PALJ",60.201681,-154.325863,280,-9,"A","America/Anchorage","airport","OurAirports" 9388,"Fontaine Airport","Belfort","France","BOR","LFSQ",47.655601501465,7.0108299255371,1208,1,"E","Europe/Paris","airport","OurAirports" 9390,"Fairfield County Airport","Winnsboro","United States",\N,"KFDW",34.31549835205078,-81.10880279541016,577,-5,"A","America/New_York","airport","OurAirports" 9391,"Obock Airport","Obock","Djibouti","OBC","HDOB",11.967000007629395,43.266998291015625,69,3,"N","Africa/Djibouti","airport","OurAirports" 9392,"Tadjoura Airport","Tadjoura","Djibouti","TDJ","HDTJ",11.782999992370605,42.91699981689453,246,3,"N","Africa/Djibouti","airport","OurAirports" 9393,"Santa Cruz del Quiche Airport","Santa Cruz des Quiche","Guatemala","AQB","MGQC",15.012200355529785,-91.15059661865234,6631,-6,"S","America/Guatemala","airport","OurAirports" 9394,"Norðfjörður Airport","Nordfjordur","Iceland","NOR","BINF",65.13189697265625,-13.746399879455566,13,0,"E","Atlantic/Reykjavik","airport","OurAirports" 9395,"Bursa Airport","Bursa","Turkey","BTZ","LTBE",40.233299255371094,29.009199142456055,331,3,"U","Europe/Istanbul","airport","OurAirports" 9396,"Skyhaven Airport","Rochester","United States",\N,"KDAW",43.28409957885742,-70.9292984008789,322,-5,"A","America/New_York","airport","OurAirports" 9397,"Waris Airport","Waris-Papua Island","Indonesia","WAR","WAJR",-3.235,140.994,1500,9,"U","Asia/Jayapura","airport","OurAirports" 9399,"Newton City-County Airport","Newton","United States","EWK","KEWK",38.058200836199994,-97.2744979858,1533,-6,"A","America/Chicago","airport","OurAirports" 9400,"La Ferté Alais Airfield","La Ferte Alais","France",\N,"LFFQ",48.498652,2.338867,453,1,"E","Europe/Paris","airport","OurAirports" 9402,"Bairnsdale Airport","Bairnsdale","Australia","BSJ","YBNS",-37.88750076293945,147.5679931640625,165,10,"O","Australia/Hobart","airport","OurAirports" 9403,"Taszár Air Base","Columbus","United States","TZR","LHTA",46.39310073852539,17.917499542236328,531,1,"A","Europe/Budapest","airport","OurAirports" 9406,"Fort Bridger Airport","Fort Bridger","United States","FBR","KFBR",41.3918991089,-110.406997681,7034,-7,"A","America/Denver","airport","OurAirports" 9407,"Prosser Airport","Prosser","United States",\N,"KS40",46.21340179,-119.7910004,697,-8,"A","America/Los_Angeles","airport","OurAirports" 9408,"Chehalis Centralia Airport","Chehalis","United States","CLS","KCLS",46.676998138399995,-122.983001709,176,-8,"A","America/Los_Angeles","airport","OurAirports" 9409,"Desert Aire Regional Airport","Mattawa","United States",\N,"KM94",46.687401,-119.920998,586,-8,"A","America/Los_Angeles","airport","OurAirports" 9411,"Evanston-Uinta County Airport-Burns Field","Evanston","United States","EVW","KEVW",41.27479935,-111.0350037,7143,-7,"A","America/Denver","airport","OurAirports" 9412,"Sabetha Municipal Airport","Sabetha","United States",\N,"KK83",39.90420150756836,-95.77940368652344,1330,-6,"A","America/Chicago","airport","OurAirports" 9413,"Mt Pleasant Regional-Faison field","Mount Pleasant","United States",\N,"KLRO",32.89780045,-79.78289795,12,-5,"A","America/New_York","airport","OurAirports" 9414,"Jimmy Carter Regional Airport","Americus","United States",\N,"KACJ",32.110802,-84.188904,468,-5,"A","America/New_York","airport","OurAirports" 9415,"Weedon Field","Eufala","United States","EUF","KEUF",31.9512996674,-85.1288986206,285,-6,"A","America/Chicago","airport","OurAirports" 9416,"Saluda County Airport","Saluda","United States",\N,"K6J4",33.92679977416992,-81.79460144042969,555,-5,"A","America/New_York","airport","OurAirports" 9417,"Dare County Regional Airport","Manteo","United States","MEO","KMQI",35.91899872,-75.69550323,13,-5,"A","America/New_York","airport","OurAirports" 9418,"Auburn University Regional Airport","Auburn","United States","AUO","KAUO",32.615101,-85.433998,777,-6,"A","America/Chicago","airport","OurAirports" 9419,"Tri Cities Airport","Endicott","United States",\N,"KCZG",42.078499,-76.096296,833,-5,"A","America/New_York","airport","OurAirports" 9428,"Bessemer Airport","Bessemer","United States",\N,"KEKY",33.31290054,-86.92590332,700,-6,"A","America/Chicago","airport","OurAirports" 9429,"Colorado Springs East Airport","Ellicott","United States",\N,"KA50",38.8744010925293,-104.41000366210938,6145,-7,"A","America/Denver","airport","OurAirports" 9447,"Crystal Airport","Crystal","United States",\N,"KMIC",45.0620002746582,-93.35389709472656,869,-6,"A","America/Chicago","airport","OurAirports" 9448,"Clarke County Airport","Quitman","United States",\N,"K23M",32.0849,-88.738897,320,-6,"A","America/Chicago","airport","OurAirports" 9450,"W H 'Bud' Barron Airport","Dublin","United States","DBN","KDBN",32.56439972,-82.98529816,309,-5,"A","America/New_York","airport","OurAirports" 9474,"Pukarua Airport","Pukarua","French Polynesia","PUK","NTGQ",-18.29560089111328,-137.01699829101562,5,-10,"N",\N,"airport","OurAirports" 9475,"Kabale Airport","Kabale","Uganda",\N,"HUKB",-1.226111,29.96,6000,3,"N","Africa/Kampala","airport","OurAirports" 9481,"Guatuso Airport","Marigot","France",\N,"MRGT",10.683333396911621,-84.83333587646484,164,-6,"N","America/Costa_Rica","airport","OurAirports" 9484,"Central Bolívar Airport","Sevilla","Spain",\N,"SVSJ",8.916666984558105,-71.93333435058594,39,-4,"E","America/Caracas","airport","OurAirports" 9488,"Corvallis Municipal Airport","Corvallis","United States","CVO","KCVO",44.49720001,-123.2900009,250,-8,"A","America/Los_Angeles","airport","OurAirports" 9492,"Tuzla Romania Airport","Tuzla","Romania",\N,"LRTZ",43.98419952392578,28.609699249267578,161,2,"U","Europe/Bucharest","airport","OurAirports" 9500,"El Almendro Airport","Scranton","United States",\N,"SCRT",-35.96055603027344,-71.7933349609375,486,-4,"A","America/Santiago","airport","OurAirports" 9511,"San Agustin Airport","Morristown","United States",\N,"MRST",10.066666603088379,-84.88333129882812,66,-6,"A","America/Costa_Rica","airport","OurAirports" 9521,"Samambaia Heliport","Saint Denis","Reunion",\N,"SDNS",-22.462499618530273,-43.13055419921875,3167,-3,"E","America/Sao_Paulo","airport","OurAirports" 9528,"Fazenda Campo Verde Airport","Sihanoukville","Cambodia",\N,"SNKV",1.04278004169,-50.516700744599994,49,-3,"N","America/Fortaleza","airport","OurAirports" 9532,"Prominent Hill Airport","Prominent Hill","Australia","PXH","YPMH",-29.716,135.5244,745,9.5,"O","Australia/Adelaide","airport","OurAirports" 9533,"Cowra Airport","Chatsworth","Australia","CWT","YCWR",-33.84469985961914,148.6490020751953,966,10,"A","Australia/Sydney","airport","OurAirports" 9542,"Coral Bay Airport","Coral Bay","Australia",\N,"YCOY",-23.1299991607666,113.7770004272461,5,8,"O","Australia/Perth","airport","OurAirports" 9543,"Ogden Hinckley Airport","Ogden","United States","OGD","KOGD",41.195899963379,-112.0120010376,4473,-7,"A","America/Denver","airport","OurAirports" 9544,"Lake Country Regional Airport","Clarksville","United Arab Emirates",\N,"KW63",36.5957984924,-78.56009674070002,421,-5,"A","America/New_York","airport","OurAirports" 9545,"Robert S Kerr Airport","Poteau","United States",\N,"KRKR",35.02159881591797,-94.62129974365234,451,-6,"A","America/Chicago","airport","OurAirports" 9546,"Colorado Plains Regional Airport","Akron","United States","AKO","KAKO",40.1755981445,-103.222000122,4714,-7,"A","America/Denver","airport","OurAirports" 9547,"Sanderson Field","Shelton","United States","SHN","KSHN",47.233600616455,-123.14800262451,273,-8,"A","America/Los_Angeles","airport","OurAirports" 9739,"Napakiak Airport","Napakiak","United States","WNA","PANA",60.69029998779297,-161.97900390625,17,-9,"A","America/Anchorage","airport","OurAirports" 9744,"Napaskiak Airport","Napaskiak","United States","PKA","PAPK",60.70289993,-161.7779999,24,-9,"A","America/Anchorage","airport","OurAirports" 9746,"Tok Airport","Tok","United States",\N,"PATJ",63.303333,-143.001111,1670,-9,"A","America/Anchorage","airport","OurAirports" 9749,"Bedwell Harbour Seaplane Base","Bedwell Harbour","Canada","YBW","CAB3",48.75,-123.233001709,0,-8,"A","America/Vancouver","airport","OurAirports" 9751,"Washabo Airport","Washabo","Suriname","WSO","SMWS",5.215277,-57.185302,68,-3,"N","America/Paramaribo","airport","OurAirports" 9753,"Popham Airfield","Popham","United Kingdom",\N,"EGHP",51.193901,-1.23472,550,0,"E","Europe/London","airport","OurAirports" 9754,"Causey Airport","Liberty","United States",\N,"K2A5",35.911800384521484,-79.61759948730469,723,-5,"A","America/New_York","airport","OurAirports" 9759,"Abaco I Walker C Airport","Walker's Cay","Bahamas","WKR","MYAW",27.266700744628906,-78.39969635009766,10,-5,"A",\N,"airport","OurAirports" 9760,"Black Point Airstrip","Black Point","Bahamas",\N,"MYEB",24.089488448799997,-76.3979172707,10,-5,"A","America/Nassau","airport","OurAirports" 9761,"Bartica A Airport","Bartica","Guyana","GFO","SYBT",6.358864,-58.655207,3,-4,"N","America/Guyana","airport","OurAirports" 9763,"Doylestown Airport","Doylestown","United States","DYL","KDYL",40.3330001831,-75.1222991943,394,-5,"A","America/New_York","airport","OurAirports" 9766,"Cape Town Waterfort Heliport","Cap Town","South Africa",\N,"FADW",0,0,0,2,"N","Africa/Johannesburg","airport","OurAirports" 9768,"Tingo Maria Airport","Tingo Maria","Peru","TGI","SPGM",-9.133000373840332,-75.94999694824219,2010,-5,"N","America/Lima","airport","OurAirports" 9769,"Plínio Alarcom Airport","Tres Lagoas","Brazil","TJL","SSTL",-20.754199981689,-51.684200286865,1050,-4,"S","America/Campo_Grande","airport","OurAirports" 9770,"Zhangye Ganzhou Airport","Zhangye","China","YZY","ZLZY",38.8018989563,100.675003052,5280,8,"N","Asia/Shanghai","airport","OurAirports" 9771,"Cacoal Airport","Cacoal","Brazil","OAL","SSKW",-11.496,-61.4508,778,-4,"N","America/Boa_Vista","airport","OurAirports" 9772,"Warren Field","Washington","United States","OCW","KOCW",35.570499420166,-77.049797058105,38,-5,"A","America/New_York","airport","OurAirports" 9773,"Hyde County Airport","Engelhard","United States",\N,"K7W6",35.562400817871094,-75.9552001953125,8,-5,"A","America/New_York","airport","OurAirports" 9774,"Mocopulli Airport","Castro","Chile","MHC","SCPQ",-42.340388,-73.715693,528,-4,"S","America/Santiago","airport","OurAirports" 9776,"Stillwater Regional Airport","Stillwater","United States","SWO","KSWO",36.161201477051,-97.08570098877,1000,-6,"A","America/Chicago","airport","OurAirports" 9777,"Okmulgee Regional Airport","Okmulgee","United States","OKM","KOKM",35.668098449707,-95.948699951172,720,-6,"A","America/Chicago","airport","OurAirports" 9778,"Cushing Municipal Airport","Cushing","United States","CUH","KCUH",35.9499015808,-96.7731018066,916,-6,"A","America/Chicago","airport","OurAirports" 9779,"Clinton Sherman Airport","Clinton","United States","CSM","KCSM",35.3398017883,-99.20050048830001,1922,-6,"A","America/Chicago","airport","OurAirports" 9780,"Strother Field","Winfield","United States","WLD","KWLD",37.168598175,-97.0375976562,1160,-6,"A","America/Chicago","airport","OurAirports" 9781,"Wiley Post Airport","Oklahoma City","United States","PWA","KPWA",35.53419876,-97.64710236,1300,-6,"A","America/Chicago","airport","OurAirports" 9782,"Shreveport Downtown Airport","Shreveport","United States","DTN","KDTN",32.5401992798,-93.7450027466,179,-6,"A","America/Chicago","airport","OurAirports" 9783,"Stephenville Clark Regional Airport","Stephenville","United States","SEP","KSEP",32.215301513672,-98.177696228027,1321,-6,"A","America/Chicago","airport","OurAirports" 9784,"Perry Municipal Airport","Perry","United States",\N,"KF22",36.38560104370117,-97.2771987915039,1002,-6,"A","America/Chicago","airport","OurAirports" 9786,"Hamilton Municipal Airport","Hamilton","United States",\N,"KMNZ",31.6658992767334,-98.14859771728516,1299,-6,"A","America/Chicago","airport","OurAirports" 9787,"Ada Regional Airport","Ada","United States","ADT","KADH",34.804298,-96.671303,1016,-6,"A","America/Chicago","airport","OurAirports" 9788,"Mesquite Metro Airport","Misquite","United States",\N,"KHQZ",32.74700164794922,-96.53040313720703,447,-6,"A","America/Chicago","airport","OurAirports" 9789,"Denton Municipal Airport","Denton","United States",\N,"KDTO",33.2006988525,-97.19799804690001,642,-6,"A","America/Chicago","airport","OurAirports" 9790,"Austin Executive Airport","Austin","United States",\N,"KEDC",30.3974931,-97.5663935,620,-6,"A","America/Chicago","airport","OurAirports" 9791,"Lago Vista Tx Rusty Allen Airport","Lago Vista","United States",\N,"KRYW",30.498600006103516,-97.96949768066406,1231,-6,"A","America/Chicago","airport","OurAirports" 9792,"Brenham Municipal Airport","Brenham","United States",\N,"K11R",30.21899986,-96.3742981,307,-6,"A","America/Chicago","airport","OurAirports" 9793,"Lakeway Airpark","Lakeway","United States",\N,"K3R9",30.357500076293945,-97.99449920654297,909,-6,"A","America/Chicago","airport","OurAirports" 9794,"Iraan Municipal Airport","Iraan","United States","IRB","K2F0",30.9057006836,-101.891998291,2200,-6,"A","America/Chicago","airport","OurAirports" 9795,"Kestrel Airpark","San Antonio","United States",\N,"K1T7",29.812700271606445,-98.42530059814453,1250,-6,"A","America/Chicago","airport","OurAirports" 9796,"Elliot Lake Municipal Airport","ELLIOT LAKE","Canada","YEL","CYEL",46.351398468,-82.5614013672,1087,-5,"A","America/Toronto","airport","OurAirports" 9797,"Wilkes County Airport","North Wilkesboro","United States","IKB","KUKF",36.2228012085,-81.09829711910001,1301,-5,"A","America/New_York","airport","OurAirports" 9798,"Charleston Executive Airport","Charleston","United States",\N,"KJZI",32.70090103149414,-80.00289916992188,17,-5,"A","America/New_York","airport","OurAirports" 9799,"Danville Regional Airport","Danville","United States","DAN","KDAN",36.572898864746094,-79.33609771728516,571,-5,"A","America/New_York","airport","OurAirports" 9800,"Brookneal/Campbell County Airport","Brookneal","United States",\N,"K0V4",37.141700744599994,-79.01640319820001,596,-5,"A","America/New_York","airport","OurAirports" 9805,"Yerbogachen Airport","Yerbogachen","Russia","ERG","UIKE",61.2750015259,108.029998779,400,8,"N","Asia/Irkutsk","airport","OurAirports" 9806,"Cheraw Municipal Airport/Lynch Bellinger Field","Cheraw","United States","HCW","KCQW",34.71289825,-79.95700073,239,-5,"A","America/New_York","airport","OurAirports" 9808,"Wauchula Municipal Airport","Wuchula","United States",\N,"KCHN",27.51490020752,-81.880500793457,106,-5,"A","America/New_York","airport","OurAirports" 9818,"Lilydale Airport","Lilydale","Australia",\N,"YLIL",-37.69169998168945,145.36700439453125,76,10,"O","Australia/Hobart","airport","OurAirports" 9819,"Beni Mellal Airport","Beni Mellal","Morocco","BEM","GMMD",32.401895,-6.315905,1694,0,"E","Africa/Casablanca","airport","OurAirports" 9820,"Şırnak Şerafettin Elçi Airport","Cizre","Turkey","NKT","LTCV",37.3647,42.0582,2038,3,"E","Europe/Istanbul","airport","OurAirports" 9821,"Suntar Airport","Suntar","Russia","SUY","UENS",62.185001373291,117.63500213623,452,9,"N","Asia/Yakutsk","airport","OurAirports" 9824,"Tazadit Airport","Zouerat","Mauritania","OUZ","GQPZ",22.756399154663086,-12.483599662780762,1129,0,"N","Africa/Nouakchott","airport","OurAirports" 9825,"Asaba International Airport","Asaba","Nigeria","ABB","DNAS",6.204167,6.665278,305,1,"N","Africa/Lagos","airport","OurAirports" 9826,"Akwa Ibom International Airport","Uyo","Nigeria","QUO","DNAI",4.8725,8.093,170,1,"N","Africa/Lagos","airport","OurAirports" 9828,"Kasama Airport","Kasama","Zambia","KAA","FLKS",-10.216699600219727,31.13330078125,4541,2,"N","Africa/Lusaka","airport","OurAirports" 9829,"Mbeya Airport","Mbeya","Tanzania",\N,"HTMB",-8.919444,33.463889,5600,3,"N","Africa/Dar_es_Salaam","airport","OurAirports" 9830,"Mpanda Airport","Mpanda","Tanzania",\N,"HTMP",-6.355374,31.084116,3520,3,"N","Africa/Dar_es_Salaam","airport","OurAirports" 9831,"Songea Airport","Songea","Tanzania","SGX","HTSO",-10.682999610900879,35.58300018310547,3445,3,"N","Africa/Dar_es_Salaam","airport","OurAirports" 9832,"Morogoro Airport","Morogoro","Tanzania",\N,"HTMG",-6.797220230102539,37.653099060058594,1676,3,"N","Africa/Dar_es_Salaam","airport","OurAirports" 9843,"Jiuhuashan Airport","Chizhou","China","JUH","ZSJH",30.7403,117.6856,60,8,"N","Asia/Shanghai","airport","OurAirports" 9844,"Anshan Air Base","Anshan","China","AOG","ZYAS",41.105301,122.853996,0,8,"N","Asia/Shanghai","airport","OurAirports" 9845,"Saertu Airport","Daqing","China","DQA","ZYDQ",46.7463888889,125.140555556,496,8,"N","Asia/Shanghai","airport","OurAirports" 9846,"Zunyi Xinzhou Airport","Zunyi","China","ZYI","ZUZY",27.5895,107.0007,2920,8,"N","Asia/Shanghai","airport","OurAirports" 9847,"Conway Horry County Airport","Conway","United States",\N,"KHYW",33.82849884,-79.12220001,35,-5,"A","America/New_York","airport","OurAirports" 9848,"Lindu Airport","Yinchun","China","LDS","ZYLD",47.7520555556,129.019125,791,8,"N","Asia/Shanghai","airport","OurAirports" 9849,"Anshun Huangguoshu Airport","Anshun","China","AVA","ZUAS",26.2605555556,105.873333333,4812,8,"N","Asia/Shanghai","airport","OurAirports" 9850,"Sikasso Airport","Sikasso","Mali","KSS","GASK",11.333000183105469,-5.699999809265137,1378,0,"N","Africa/Bamako","airport","OurAirports" 9853,"Toowoomba Wellcamp Airport","Toowoomba","Australia","WTB","YBWW",-27.558332,151.793335,1509,10,"N","Australia/Brisbane","airport","OurAirports" 9854,"Tonghua Sanyuanpu Airport","Tonghua","China","TNH","ZYTN",42.2538888889,125.703333333,1200,8,"N","Asia/Shanghai","airport","OurAirports" 9857,"Suzhou Guangfu Airport","Suzhou","China","SZV","ZSSZ",31.2631,120.401001,0,8,"N","Asia/Shanghai","airport","OurAirports" 9860,"City Airport Manchester","Manchester","United Kingdom",\N,"EGCB",53.471698761,-2.38971996307,73,0,"U","Europe/London","airport","OurAirports" 9861,"Sleap Airport","Shrewsbury","United Kingdom",\N,"EGCV",52.833900451699996,-2.77167010307,275,0,"U","Europe/London","airport","OurAirports" 9862,"Tatenhill Airfield","Burton-on-Trent","United Kingdom",\N,"EGBM",52.814701080300004,-1.76110994816,439,0,"U","Europe/London","airport","OurAirports" 9863,"Full Sutton Airfield","York","United Kingdom",\N,"EGNU",53.980598,-0.864722,86,0,"U","Europe/London","airport","OurAirports" 9864,"Sherburn-In-Elmet Airfield","Leeds","United Kingdom",\N,"EGCJ",53.788458,-1.216877,26,0,"U","Europe/London","airport","OurAirports" 9866,"Beringin Airport","Muara Teweh","Indonesia",\N,"WAOM",-0.940325021744,114.893875122,126,7,"N","Asia/Jakarta","airport","OurAirports" 9868,"Mulia Airport","Mulia","Indonesia","LII","WAJM",-3.7018,137.957,6527,9,"N","Asia/Jayapura","airport","OurAirports" 9872,"Stenkol Airport","Bintuni","Indonesia","NTI","WASB",-2.1033,133.5164,57,9,"N","Asia/Jayapura","airport","OurAirports" 9873,"Wasior Airport","Wasior","Indonesia","WSR","WASW",-2.721,134.5061,49,9,"N","Asia/Jayapura","airport","OurAirports" 9874,"Silangit Airport","Siborong-Borong","Indonesia","DTB","WIMN",2.25973,98.991898,4700,7,"N","Asia/Jakarta","airport","OurAirports" 9875,"Lasikin Airport","Sinabang","Indonesia",\N,"WITG",2.4102799892425537,96.32559967041016,19,7,"N","Asia/Jakarta","airport","OurAirports" 9886,"Seunagan Airport","Nagan Raya","Indonesia","MEQ","WITC",4.25,96.21700286865234,10,7,"N",\N,"airport","OurAirports" 9887,"Betoambari Airport","Bau-Bau","Indonesia","BUW","WAWB",-5.486879825592041,122.56900024414062,164,8,"N",\N,"airport","OurAirports" 9888,"Kao Airport","Kao","Indonesia","KAZ","WAMK",1.1852799654006958,127.89600372314453,27,9,"N",\N,"airport","OurAirports" 9889,"Melangguane Airport","Melonguane","Indonesia","MNA","WAMN",4.00694,126.672997,3,8,"N",\N,"airport","OurAirports" 9890,"Sanggata/Sangkimah Airport","Sanggata","Indonesia","SGQ","WRLA",0.3847,117.543,60,8,"N",\N,"airport","OurAirports" 9891,"Muara Bungo Airport","Muara Bungo","Indonesia","BUU","WIPI",-1.1278,102.135,214,7,"N",\N,"airport","OurAirports" 9892,"Selayar/Aroepala Airport","Selayar","Indonesia",\N,"WAWH",-6.1751,120.4362,30,8,"N",\N,"airport","OurAirports" 9897,"Illaga Airport","Illaga","Indonesia","ILA","WABL",-3.97648,137.6225,7989,9,"N",\N,"airport","OurAirports" 9898,"Oksibil Airport","Oksibil","Indonesia","OKL","WAJO",-4.9071,140.6277,4315,9,"N",\N,"airport","OurAirports" 9899,"Kokonau Airport","Kokonau","Indonesia","KOX","WABN",-4.71075,136.43515,59,9,"N",\N,"airport","OurAirports" 9901,"Clermont Airport","Clermont","Australia","CMQ","YCMT",-22.773099899291992,147.62100219726562,908,10,"N",\N,"airport","OurAirports" 9902,"Warrnambool Airport","Warrnambool","Australia","WMB","YWBL",-38.2952995300293,142.44700622558594,242,10,"O",\N,"airport","OurAirports" 9904,"Richmond Airport","Richmond","Australia","RCM","YRMD",-20.701900482177734,143.11500549316406,676,10,"N",\N,"airport","OurAirports" 9905,"RAAF Base Curtin","Derby","Australia","DCN","YCIN",-17.5813999176,123.82800293,300,8,"N",\N,"airport","OurAirports" 9935,"Kualanamu International Airport","Medan","Indonesia","KNO","WIMM",3.642222,98.885278,23,7,"N","Asia/Jakarta","airport","OurAirports" 9937,"Gratiot Community Airport","Kamloops","Canada","AMN","KAMN",43.322101593,-84.68800354,754,-7,"A",\N,"airport","OurAirports" 9938,"Asheboro Regional Airport","Asheboro","United States",\N,"KHBI",35.65449905,-79.8946991,671,-5,"A",\N,"airport","OurAirports" 9939,"Seosan Air Base","Seosan","South Korea","HMY","RKTP",36.703999,126.486,39,9,"N",\N,"airport","OurAirports" 9942,"Henderson Field","Wallace","United States",\N,"KACZ",34.717899322509766,-78.00360107421875,39,-5,"A",\N,"airport","OurAirports" 9943,"Emporia Greensville Regional Airport","Emporia","United States",\N,"KEMV",36.6869010925293,-77.48280334472656,127,-5,"A",\N,"airport","OurAirports" 10017,"San Gabriel Valley Airport","El Monte","United States","EMT","KEMT",34.086102,-118.035004,296,-8,"E",\N,"airport","OurAirports" 10057,"Farah Airport","Farah","Afghanistan","FAH","OAFR",32.367000579833984,62.18299865722656,3083,4.3,"N",\N,"airport","OurAirports" 10061,"Pasighat Airport","Pasighat","India","IXT","VEPG",28.066099166870117,95.33560180664062,477,5.3,"N",\N,"airport","OurAirports" 10062,"Kee Field","Pineville","United States",\N,"KI16",37.600399017333984,-81.5593032836914,1783,-5,"A",\N,"airport","OurAirports" 10069,"Kramatorsk Airport","Kramatorsk","Ukraine","KRQ","UKCK",48.70560073852539,37.62889862060547,646,2,"E",\N,"airport","OurAirports" 10080,"Kautokeino Air Base","Kautokeino","Norway","QKX","ENKA",69.04029846191406,23.034000396728516,1165,1,"U",\N,"airport","OurAirports" 10089,"Lille/Marcq-en-Baroeul Airport","Marcq En Baroeul","France",\N,"LFQO",50.687198638916016,3.0755600929260254,69,1,"E",\N,"airport","OurAirports" 10096,"Kawass Airport","Kamsar","Guinea",\N,"GUKR",10.651000022888,-14.533599853516,36,1,"E",\N,"airport","OurAirports" 10102,"Stinson Municipal Airport","Stinson","United States","SSF","KSSF",29.336999893188,-98.471099853516,577,-5,"A",\N,"airport","OurAirports" 10103,"Sallisaw Municipal Airport","Sallisaw","United States",\N,"KJSV",35.4382019,-94.80280304,527,-5,"A",\N,"airport","OurAirports" 10104,"Jasper County Airport-Bell Field","Jasper","United States","JAS","KJAS",30.88570023,-94.03489685,213,-5,"A",\N,"airport","OurAirports" 10105,"El Dorado Springs Memorial Airport","El dorado springs","United States",\N,"K87K",37.8567008972168,-93.99909973144531,931,-5,"A",\N,"airport","OurAirports" 10106,"Marfa Municipal Airport","Marfa","United States","MRF","KMRF",30.371099,-104.017997,4849,-5,"A",\N,"airport","OurAirports" 10107,"Alpine Casparis Municipal Airport","Alpine","United States","ALE","KE38",30.384199142499998,-103.683998108,4515,-5,"A",\N,"airport","OurAirports" 10110,"Bubaque Airport","Bubaque","Guinea-Bissau","BQE","GGBU",11.297355651855469,-15.838079452514648,0,0,"N",\N,"airport","OurAirports" 10114,"Chichen Itza International Airport","Chichen Itza","Mexico","CZA","MMCT",20.6413002014,-88.4461975098,102,-6,"S","America/Mexico_City","airport","OurAirports" 10116,"Bunbury Airport","Bunbury","Australia","BUY","YBUN",-33.378299713134766,115.677001953125,53,8,"U",\N,"airport","OurAirports" 10117,"Cable Airport","Upland","United States","CCB","KCCB",34.1115989685,-117.68800354,1444,-8,"A",\N,"airport","OurAirports" 10121,"Mount Sterling Montgomery County Airport","Mount Sterling","United States",\N,"KIOB",38.05810165,-83.979599,1019,-5,"A",\N,"airport","OurAirports" 10122,"Elkhart Municipal Airport","Elkhart","United States","EKI","KEKM",41.7193984985,-86.00319671630001,778,-5,"A",\N,"airport","OurAirports" 10123,"Nappanee Municipal Airport","Nappanee ","United States",\N,"KC03",41.44620132446289,-85.93479919433594,860,-5,"A",\N,"airport","OurAirports" 10128,"Jim Hamilton L.B. Owens Airport","Columbia","United States","CUB","KCUB",33.970500946,-80.9952011108,193,-4,"A",\N,"airport","OurAirports" 10129,"Grove Municipal Airport","Grove","United States",\N,"KGMJ",36.60680008,-94.73860168,831,-5,"A",\N,"airport","OurAirports" 10130,"Mc Pherson Airport","Mc Pherson","United States",\N,"KMPR",38.35240173,-97.69129944,1498,-5,"A",\N,"airport","OurAirports" 10131,"Donaldson Field Airport","Greenville","United States","GDC","KGYH",34.758301,-82.376404,955,-4,"A",\N,"airport","OurAirports" 10132,"Perry Houston County Airport","Perry","United States",\N,"KPXE",32.51060104370117,-83.76730346679688,418,-4,"A",\N,"airport","OurAirports" 10133,"Hartsville Regional Airport","Hartsville","United States","HVS","KHVS",34.4030990601,-80.11920166019999,364,-5,"A",\N,"airport","OurAirports" 10134,"Horace Williams Airport","Chapel Hill","United States",\N,"KIGX",35.935001,-79.065902,512,-5,"A",\N,"airport","OurAirports" 10135,"San Cristobal de las Casas Airport","San Cristobal de las Casas","Mexico","SZT","MMSC",16.690299987793,-92.530097961426,7707,-6,"N","America/Mexico_City","airport","OurAirports" 10137,"Dunnville Airport","Dunnville","Canada","DU9","CDU9",42.872200012200004,-79.5958023071,600,-5,"A",\N,"airport","OurAirports" 10138,"Brunswick County Airport","Oak Island","United States",\N,"KSUT",33.9292984,-78.07499695,24,-5,"A",\N,"airport","OurAirports" 10139,"Chesterfield County Airport","Richmond","United States",\N,"KFCI",37.40650177,-77.52500153,236,-4,"A",\N,"airport","OurAirports" 10140,"Atherton Airport","Atherton","Australia",\N,"YATN",-17.2616996765,145.51499939,2450,10,"O",\N,"airport","OurAirports" 10141,"Bagdarin Airport","Bagdarin","Russia",\N,"UIUB",54.36920166015625,113.47899627685547,3084,8,"N","Asia/Irkutsk","airport","OurAirports" 10142,"Scarlett Martinez International Airport","Rio Hato","Panama","RIH","MPRH",8.375880241394,-80.127899169922,105,-5,"U",\N,"airport","OurAirports" 10144,"Henderson Oxford Airport","Oxford","United States",\N,"KHNZ",36.36159897,-78.52919769,526,-5,"A",\N,"airport","OurAirports" 10145,"Leesburg International Airport","Leesburg","United States","LEE","KLEE",28.82309914,-81.80870056,76,-5,"A",\N,"airport","OurAirports" 10148,"Semyazino Airport","Vladimir","Russia",\N,"UUBL",56.12670135498047,40.314998626708984,554,3,"N","Europe/Moscow","airport","OurAirports" 10149,"Witberg Tswalu Airport","Dedeben","South Africa",\N,"FATW",-27.204999923706055,22.48189926147461,3921,2,"N",\N,"airport","OurAirports" 10151,"Mana Pools Airport","Mana Pools","Zimbabwe",\N,"FVMN",-15.768735,29.385617,1300,2,"N",\N,"airport","OurAirports" 10154,"Pouso Alegre Airport","Pouso Alegre","Brazil","PPY","SNZA",-22.289199829101562,-45.91910171508789,2904,-3,"S",\N,"airport","OurAirports" 10155,"Brigadeiro Cabral Airport","Divinopolis","Brazil","DIQ","SNDV",-20.180700302124,-44.870899200439,2608,-3,"S",\N,"airport","OurAirports" 10156,"Yeysk Airport","Eysk","Russia","EIK","URKE",46.68,38.21,60,3,"N","Europe/Moscow","airport","OurAirports" 10157,"Berdyansk Airport","Berdyansk","Ukraine","ERD","UKDB",46.814998626708984,36.75809860229492,171,2,"E",\N,"airport","OurAirports" 10158,"Blimbingsari Airport","Banyuwangi","Indonesia","BWX","WARB",-8.31015,114.3401,112,7,"N",\N,"airport","OurAirports" 10160,"Erenhot Saiwusu International Airport","Erenhot","China","ERL","ZBER",43.4225,112.096667,3301,8,"N",\N,"airport","OurAirports" 10161,"Shobdon Aerodrome","Shobdon","United Kingdom",\N,"EGBS",52.2416992188,-2.8811099529299997,318,0,"E",\N,"airport","OurAirports" 10162,"Chino Airport","Chino","United States","CNO","KCNO",33.97470093,-117.637001,650,-8,"A",\N,"airport","OurAirports" 10163,"Kamigoto Airport","Shin-kamigoto","Japan",\N,"RJDK",33.0130996704,129.192001343,263,9,"N",\N,"airport","OurAirports" 10164,"Ojika Airport","Odika","Japan",\N,"RJDO",33.1907997131,129.089996338,30,9,"N",\N,"airport","OurAirports" 10165,"Chofu Airport","Tokyo","Japan",\N,"RJTF",35.67169952392578,139.5279998779297,141,9,"N",\N,"airport","OurAirports" 10166,"Hateruma Airport","Taketomi","Japan","HTR","RORH",24.0589008331,123.805999756,43,9,"N",\N,"airport","OurAirports" 10169,"Madison County Airport","London","United States",\N,"KUYF",39.93270111,-83.46199799,1082,-5,"A",\N,"airport","OurAirports" 10171,"Las Brujas Airport","Cayo Santa Maria","Cuba","BWW","MUBR",22.621299743699996,-79.1472015381,13,-5,"A",\N,"airport","OurAirports" 10173,"Digby (General Hospital) Heliport","Tremblay-en-France","France",\N,"CDG2",44.6161003112793,-65.76190185546875,105,1,"E",\N,"airport","OurAirports" 10178,"Thun Airport","Thun","Switzerland",\N,"LSZW",46.756401062,7.60056018829,1837,1,"E",\N,"airport","OurAirports" 10184,"Lavrentiya Airport","Lavrentiya","Russia",\N,"UHML",65.58000183105469,-170.99667358398438,30,12,"N","Asia/Anadyr","airport","OurAirports" 10185,"Paso Robles Municipal Airport","Paso Robles","United States","PRB","KPRB",35.67290115,-120.6269989,840,-8,"A",\N,"airport","OurAirports" 10186,"N 104 Helipad","Ulleung","South Korea",\N,"RKDU",37.479166666699996,130.895555556,476,9,"N",\N,"airport","OurAirports" 10209,"Beijing Daxing International Airport","Beijing","China","PKX","ZBAD",39.509945,116.41092,98,8,"U",\N,"airport","OurAirports" 10295,"Kymi Airport","Kotka","Finland",\N,"EFKY",60.5713996887207,26.896099090576172,223,2,"E",\N,"airport","OurAirports" 10360,"Half Moon Bay Airport","Half Moon Bay","United States","HAF","KHAF",37.513401031499995,-122.500999451,66,-8,"A",\N,"airport","OurAirports" 10363,"Hechi Jinchengjiang Airport","Hechi","China","HCJ","ZGHC",24.805,107.6997,2221,8,"U",\N,"airport","OurAirports" 10370,"Kadina Airport","Kadina","Australia",\N,"YKDI",-33.97669982910156,137.66000366210938,42,9.5,"O",\N,"airport","OurAirports" 10371,"General WM J Fox Airfield","Lancaster","United States","WJF","KWJF",34.74110031,-118.2190018,2351,-8,"A",\N,"airport","OurAirports" 10378,"Coondewanna Airport","Coondewanna","Australia","CJF","YCWA",-22.96669960022,118.81300354004,2300,8,"N",\N,"airport","OurAirports" 10544,"Guarapari Airport","Guarapari","Brazil","GUZ","SNGA",-20.646499633800005,-40.491901397700005,28,-3,"S",\N,"airport","OurAirports" 10545,"Ubatuba Airport","Ubatuba","Brazil","UBT","SDUB",-23.441099166870117,-45.075599670410156,13,-3,"S",\N,"airport","OurAirports" 10611,"Ali Air Base","Nasiriyah","Iraq",\N,"ORTL",30.935800552368164,46.0900993347168,20,3,"U",\N,"airport","OurAirports" 10617,"Ota Air Base","Ota","Portugal",\N,"LPOT",39.087502,-8.96278,140,1,"E",\N,"airport","OurAirports" 10618,"Borroloola Airport","Borroloola","Australia","BOX","YBRL",-16.075300216674805,136.302001953125,55,9.5,"O",\N,"airport","OurAirports" 10723,"Elsenthal Grafe Airport","Elsenthal","Germany",\N,"EDNF",48.822498,13.3675,1417,1,"E",\N,"airport","OurAirports" 10744,"Newtownards Airport","Newtownards","United Kingdom",\N,"EGAD",54.5811004639,-5.69193983078,9,0,"E",\N,"airport","OurAirports" 10745,"Lashenden (Headcorn) Airfield","Headcorn","United Kingdom",\N,"EGKH",51.156898,0.641667,72,0,"E",\N,"airport","OurAirports" 10746,"Panshanger Aerodrome","Panshanger","United Kingdom",\N,"EGLG",51.80250167849999,-0.158056005836,249,0,"E",\N,"airport","OurAirports" 10747,"Thurrock Airfield","Thurrock","United Kingdom",\N,"EGMT",51.537505,0.367634,20,0,"E",\N,"airport","OurAirports" 10748,"Stapleford Aerodrome","Stapleford","United Kingdom",\N,"EGSG",51.652500152600005,0.155833005905,183,0,"E",\N,"airport","OurAirports" 10750,"HAL Airport","Bangalore","India",\N,"VOBG",12.9499998093,77.6681976318,2912,5.5,"N",\N,"airport","OurAirports" 10751,"Chichester/Goodwood Airport","Goodwood","United Kingdom","QUG","EGHR",50.85940170288086,-0.7591670155525208,98,0,"E",\N,"airport","OurAirports" 10752,"Omarama Glider Airport","Omarama","New Zealand",\N,"NZOA",-44.486698150634766,169.98599243164062,1381,12,"Z",\N,"airport","OurAirports" 10753,"Haast Aerodrome","Haast","New Zealand",\N,"NZHT",-43.865299224853516,169.04100036621094,13,12,"Z",\N,"airport","OurAirports" 10776,"Meschede-Schüren Airport","Meschede","Germany",\N,"EDKM",51.30277633666992,8.239167213439941,1434,1,"E",\N,"airport","OurAirports" 10792,"Jumandy Airport","Tena","Ecuador","TNW","SEJD",-1.059722,-77.583333,1234,-5,"S",\N,"airport","OurAirports" 10794,"Morro da Urca Heliport","Rio de Janeiro","Brazil",\N,"SDHU",-22.95166778564453,-43.16583251953125,692,-3,"S",\N,"airport","OurAirports" 10800,"Dongji Aiport","Fuyuan","China","FYJ","ZYFY",48.199494,134.366447,0,8,"N",\N,"airport","OurAirports" 10802,"Skúvoy Heliport","Skuvoy","Faroe Islands",\N,"EKSY",61.76959991455078,-6.803410053253174,70,1,"E",\N,"airport","OurAirports" 10803,"Stóra Dímun Heliport","Stora Dimun","Faroe Islands",\N,"EKSR",61.685298919677734,-6.758500099182129,305,1,"E",\N,"airport","OurAirports" 10804,"Frooba Heliport","Frooba","Faroe Islands",\N,"EKFA",61.543701171875,-6.774419784545898,77,1,"E",\N,"airport","OurAirports" 10831,"Person County Airport","Roxboro","United States",\N,"KTDF",36.28490067,-78.98419952,609,-5,"A",\N,"airport","OurAirports" 10934,"Zulu Inyala Airport","Phinda","South Africa","PZL","FADQ",-27.84939956665039,32.30970001220703,160,2,"U",\N,"airport","OurAirports" 10937,"Liupanshui Yuezhao Airport","Liupanshui","China","LPF","ZUPS",26.609417,104.979,0,8,"N",\N,"airport","OurAirports" 10938,"Kaili Airport","Kaili","China","KJH","ZUKJ",26.972,107.988,3115,8,"N",\N,"airport","OurAirports" 10939,"Shennongjia Hongping Airport","Shennongjia","China","HPG","ZHSN",31.626,110.34,8365,8,"N",\N,"airport","OurAirports" 10940,"Zhangjiakou Ningyuan Airport","Zhangjiakou","China","ZQZ","ZBZJ",40.7386016846,114.930000305,2347,8,"N",\N,"airport","OurAirports" 10941,"Arxan Yi'ershi Airport","Arxan","China","YIE","ZBES",47.3106,119.9117,2925,8,"N",\N,"airport","OurAirports" 10942,"Hengyang Nanyue Airport","Hengyang","China","HNY","ZGHY",26.9053,112.627998,0,8,"N",\N,"airport","OurAirports" 10943,"Hongyuan Airport","Ngawa","China","AHJ","ZUHY",32.53154,102.35224,11600,8,"N",\N,"airport","OurAirports" 10949,"Wonsan Kalma International Airport","Wonsan","North Korea","WOS","ZKWS",39.166801,127.486,7,8.5,"N",\N,"airport","OurAirports" 10951,"Mestia Queen Tamar Airport","Mestia","Georgia",\N,"UGMS",43.053597,42.749012,4778,5,"N",\N,"airport","OurAirports" 10952,"Magas Airport","Magas","Russia","IGT","URMS",43.322299957300004,45.0125999451,1165,3,"N","Europe/Moscow","airport","OurAirports" 11004,"Talladega Municipal Airport","Talladega","United States","ASN","KASN",33.569900512699995,-86.05090332030001,529,-5,"A",\N,"airport","OurAirports" 11005,"Greenville Downtown Airport","Greenville","United States","GMU","KGMU",34.847900390599996,-82.34999847410002,1048,-4,"A",\N,"airport","OurAirports" 11008,"Mankato Regional Airport","Mankato","United States",\N,"KMKT",44.22159958,-93.91870117,1021,-6,"A",\N,"airport","OurAirports" 11009,"Captain Auguste George Airport","Anegada","British Virgin Islands","NGD","TUPA",18.72719955444336,-64.32969665527344,9,-4,"U",\N,"airport","OurAirports" 11010,"Troy Municipal Airport at N Kenneth Campbell Field","Troy","United States","TOI","KTOI",31.860399,-86.012101,398,-5,"A",\N,"airport","OurAirports" 11011,"Merkel Field Sylacauga Municipal Airport","Sylacauga","United States",\N,"KSCD",33.17179870605469,-86.30549621582031,569,-5,"A",\N,"airport","OurAirports" 11012,"Enterprise Municipal Airport","Enterprise","United States","ETS","KEDN",31.29969978,-85.89990234,361,-5,"A",\N,"airport","OurAirports" 11017,"Ryan Field","Tucson","United States",\N,"KRYN",32.1422004699707,-111.17500305175781,2417,-7,"A",\N,"airport","OurAirports" 11018,"Efogi Airport","Efogi","Papua New Guinea","EFG","AYEF",-9.15380555556,147.659805556,3900,10,"N",\N,"airport","OurAirports" 11019,"Kagi Airport","Kagi","Papua New Guinea","KGW","AYKQ",-9.135916666670001,147.669444444,4200,10,"N",\N,"airport","OurAirports" 11020,"Nadunumu Airport","Nadunumu","Papua New Guinea","NDN","AYNC",-9.14355555556,147.68425,5100,10,"N",\N,"airport","OurAirports" 11021,"Bodinumu Airport","Bodinumu","Papua New Guinea","BNM","AYBD",-9.107777777779999,147.666722222,3700,10,"N",\N,"airport","OurAirports" 11022,"Thomas C Russell Field","Alexander City","United States","ALX","KALX",32.914699554399995,-85.9629974365,686,-5,"A",\N,"airport","OurAirports" 11030,"Port Keats Airport","Wadeye","Australia","PKT","YPKT",-14.25,129.5290069580078,91,9.5,"O",\N,"airport","OurAirports" 11031,"Garden Point Airport","Pirlangimpi","Australia","GPN","YGPT",-11.40250015258789,130.4219970703125,90,9.5,"O",\N,"airport","OurAirports" 11032,"Stade Airport","Stade","Germany",\N,"EDHS",53.56111145019531,9.499167442321777,62,1,"E",\N,"airport","OurAirports" 11035,"Meriden Markham Municipal Airport","Meriden","United States",\N,"KMMK",41.50870132446289,-72.82949829101562,103,-5,"A",\N,"airport","OurAirports" 11038,"Flinders Island Airport","Elliston","Australia",\N,"YFLS",-33.730989,134.501,0,9.5,"O",\N,"airport","OurAirports" 11048,"Luzern-Beromunster Airport","Lucerne","Switzerland",\N,"LSZO",47.189998626708984,8.204719543457031,2146,1,"E",\N,"airport","OurAirports" 11049,"La Grand'combe Airport","La Grand'Combe","France",\N,"LFTN",44.24440002441406,4.0122199058532715,1647,1,"E",\N,"airport","OurAirports" 11051,"Hamad International Airport","Doha","Qatar","DOH","OTHH",25.273056,51.608056,13,3,"N",\N,"airport","OurAirports" 11053,"Fort Mackay / Horizon Airport","Wood Buffalo","Canada","HZP","CYNR",57.3816986084,-111.700996399,916,-7,"A",\N,"airport","OurAirports" 11054,"Canmore Municipal Heliport","Canmore","Canada",\N,"CEW9",51.07780075069999,-115.337997437,4296,-7,"A",\N,"airport","OurAirports" 11055,"Krasnokamensk Airport","Krasnokamensk","Russia",\N,"UIAE",50.03310775756836,118.06114196777344,2139,9,"N",\N,"airport","OurAirports" 11067,"Ridgely Airpark","Ridgely","United States",\N,"KRJD",38.97010040283203,-75.86630249023438,64,-5,"A",\N,"airport","OurAirports" 11068,"New Castle Henry Co. Municipal Airport","New Castle","United States",\N,"KUWL",39.87590027,-85.32649994,1088,-4,"A",\N,"airport","OurAirports" 11069,"Scott City Municipal Airport","Scott City","United States",\N,"KTQK",38.474300384521484,-100.88500213623047,2963,-5,"A",\N,"airport","OurAirports" 11070,"Brewster Field","Holdredge","United States","HDE","KHDE",40.452099,-99.336502,2313,-5,"A",\N,"airport","OurAirports" 11071,"Pratt Regional Airport","Pratt","United States","PTT","KPTT",37.70159912,-98.74690247,1953,-5,"A",\N,"airport","OurAirports" 11072,"Yubileyniy Airfield","Baikonur","Kazakhstan",\N,"UAON",46.05500030517578,63.25,328,6,"U",\N,"airport","OurAirports" 11073,"Wahoo Municipal Airport","Wahoo","United States",\N,"KAHQ",41.2412986755,-96.59400177,1224,-5,"A",\N,"airport","OurAirports" 11074,"Jim Kelly Field","Lexington","United States","LXN","KLXN",40.791000366199995,-99.7772979736,2413,-5,"A",\N,"airport","OurAirports" 11075,"Sublette Municipal Airport","Sublette","United States",\N,"K19S",37.49140167,-100.8300018,2908,-5,"A",\N,"airport","OurAirports" 11076,"Council Bluffs Municipal Airport","Council Bluffs","United States","CBF","KCBF",41.2592010498,-95.760597229,1253,-5,"A",\N,"airport","OurAirports" 11077,"Kokomo Municipal Airport","Kokomo","United States","OKK","KOKK",40.528198242188,-86.05899810791,830,-4,"A",\N,"airport","OurAirports" 11078,"Neodesha Municipal Airport","Neodesha","United States",\N,"K2K7",37.43539810180664,-95.64610290527344,841,-5,"A",\N,"airport","OurAirports" 11079,"King Ranch Airport","Sutton","United States",\N,"AK59",61.79560089111328,-148.35499572753906,1350,-8,"A",\N,"airport","OurAirports" 11080,"Elkhart Morton County Airport","Elkhart","United States",\N,"KEHA",37.000702,-101.879997,3622,-5,"A",\N,"airport","OurAirports" 11081,"Front Range Airport","Denver","United States",\N,"KFTG",39.785301208496094,-104.54299926757812,5512,-6,"A",\N,"airport","OurAirports" 11082,"Galesburg Municipal Airport","Galesburg","United States","GBG","KGBG",40.937999725299996,-90.431098938,764,-5,"A",\N,"airport","OurAirports" 11084,"Guymon Municipal Airport","Guymon","United States","GUY","KGUY",36.6851005554,-101.508003235,3123,-5,"A",\N,"airport","OurAirports" 11086,"Meade Municipal Airport","Meade","United States",\N,"KMEJ",37.27690124511719,-100.35600280761719,2529,-5,"A",\N,"airport","OurAirports" 11087,"Turkey Mountain Estates Airport","Shell Knob","United States",\N,"MO00",36.59170150756836,-93.66690063476562,1000,-5,"A",\N,"airport","OurAirports" 11088,"Ulysses Airport","Ulysses","United States",\N,"KULS",37.60400009,-101.3740005,3071,-5,"A",\N,"airport","OurAirports" 11089,"Flagler Aerial Spraying Inc Airport","Flagler","United States",\N,"CO00",39.279998779296875,-103.06700134277344,4945,-6,"A",\N,"airport","OurAirports" 11090,"Independence Municipal Airport","Independence","United States","IDP","KIDP",37.1584014893,-95.77839660640001,825,-5,"A",\N,"airport","OurAirports" 11091,"Augusta Municipal Airport","Augusta","United States",\N,"K3AU",37.671600341796875,-97.0779037475586,1328,-5,"A",\N,"airport","OurAirports" 11092,"Larned Pawnee County Airport","Larned","United States",\N,"KLQR",38.20859909,-99.08599854,2012,-5,"A",\N,"airport","OurAirports" 11093,"Lampasas Airport","Lampasas","United States",\N,"KLZZ",31.106199264526367,-98.1958999633789,1215,-5,"A",\N,"airport","OurAirports" 11094,"Bay City Municipal Airport","Bay City","United States","BBC","KBYY",28.9733009338,-95.8635025024,45,-5,"A",\N,"airport","OurAirports" 11095,"Cox Field","Paris","United States","PRX","KPRX",33.636600494385,-95.450798034668,547,-5,"A",\N,"airport","OurAirports" 11096,"Coffeyville Municipal Airport","Coffeyville","United States","CFV","KCFV",37.09400177,-95.5718994141,754,-5,"A",\N,"airport","OurAirports" 11097,"The Farm Airport","Summit","United States",\N,"24SC",33.93579864501953,-81.42970275878906,580,-4,"A",\N,"airport","OurAirports" 11098,"Greeley–Weld County Airport","Greeley","United States","GXY","KGXY",40.4374008179,-104.633003235,4697,-7,"A",\N,"airport","OurAirports" 11099,"General Dewitt Spain Airport","Memphis","United States",\N,"KM01",35.20069885,-90.05400085,225,-4,"A",\N,"airport","OurAirports" 11100,"Oryol Yuzhny Airport","Oakley","United States","OEL","UUOR",52.934700012200004,36.0022010803,656,-5,"A",\N,"airport","OurAirports" 11101,"Fremont Municipal Airport","Fremont","United States","FET","KFET",41.44910049,-96.52020264,1204,-5,"A",\N,"airport","OurAirports" 11102,"La Grande/Union County Airport","La Grande","United States","LGD","KLGD",45.2901992798,-118.007003784,2717,-7,"A",\N,"airport","OurAirports" 11103,"Olsztyn-Mazury Airport","Szczytno-Szymany","Poland","SZY","EPSY",53.481899,20.9377,463,1,"E",\N,"airport","OurAirports" 11110,"Pocono Mountains Municipal Airport","Mount Pocono","United States","MPO","KMPO",41.137503,-75.378897,1915,-5,"A",\N,"airport","OurAirports" 11111,"Quakertown Airport","Quakertown","United States","UKT","KUKT",40.435199737549,-75.381896972656,526,-5,"A",\N,"airport","OurAirports" 11127,"Banff Airport","Banff","Canada","YBA","CYBA",51.207340469900004,-115.541861057,4583,-7,"A",\N,"airport","OurAirports" 11129,"Nordborg Flyveplads","Nordborg","Denmark",\N,"EKNB",55.07485,9.753379,0,1,"E",\N,"airport","OurAirports" 11131,"Banning Municipal Airport","Banning","United States","BNG","KBNG",33.9230995178,-116.850997925,2219,-8,"A",\N,"airport","OurAirports" 11132,"Gießen-Lützellinden Airport","Giessen","Germany",\N,"EDFL",50.543888092041016,8.590277671813965,755,1,"E",\N,"airport","OurAirports" 11133,"Tököl Airport","Budapest","Hungary",\N,"LHTL",47.345298767100005,18.980800628699996,318,1,"E",\N,"airport","OurAirports" 11134,"Karl Stefan Memorial Airport","Norfolk Nebraska","United States","OFK","KOFK",41.985500335693,-97.435096740723,1573,-6,"A",\N,"airport","OurAirports" 11139,"Kotido Airport","Kotido","Uganda",\N,"HUKO",2.953,34.1232,4020,3,"N",\N,"airport","OurAirports" 11140,"Kajjansi Airfield","Kampala","Uganda",\N,"HUKJ",0.1968,32.55297,3743,3,"N",\N,"airport","OurAirports" 11141,"Arlington Municipal Airport","Arlington","United States",\N,"KAWO",48.16070175,-122.1589966,142,-8,"A",\N,"airport","OurAirports" 11142,"Paracatu Airport","Paracatu","Brazil",\N,"SNZR",-17.242599487304688,-46.88309860229492,2359,-3,"S",\N,"airport","OurAirports" 11143,"Das Bandeirinhas Airport","Conselheiro Lafaiete","Brazil",\N,"SNKF",-20.738585,-43.797444,3478,-3,"S",\N,"airport","OurAirports" 11144,"Janaúba Airport","Janauba","Brazil",\N,"SNAP",-15.732,-43.323102,1732,-3,"S",\N,"airport","OurAirports" 11145,"Juscelino Kubitscheck Airport","Teofilo Otoni","Brazil","TFL","SNTO",-17.89229965209961,-41.51359939575195,1572,-3,"S",\N,"airport","OurAirports" 11146,"Cristiano Ferreira Varella Airport","Muriae","Brazil",\N,"SNBM",-21.126100540161133,-42.39440155029297,886,-3,"S",\N,"airport","OurAirports" 11153,"Peter O Knight Airport","Tampa","United States","TPF","KTPF",27.915599822998,-82.44930267334,8,-5,"U",\N,"airport","OurAirports" 11170,"Lure Malbouhans Air Base","Malbouhans","France",\N,"LFYL",47.7047,6.54583,1040,1,"E",\N,"airport","OurAirports" 11175,"Parati Airport","Paraty","Brazil",\N,"SDTK",-23.2243995667,-44.720298767100005,10,-3,"S",\N,"airport","OurAirports" 11176,"Umberto Modiano Airport","Buzios","Brazil","BZC","SBBZ",-22.770999908447266,-41.96289825439453,10,-3,"S",\N,"airport","OurAirports" 11177,"Angra dos Reis Airport","Angra dos Reis","Brazil",\N,"SDAG",-22.975299835205078,-44.307098388671875,10,-3,"S",\N,"airport","OurAirports" 11178,"Itaperuna Airport","Itaperuna","Brazil","ITP","SDUN",-21.219299316399997,-41.8759002686,410,-3,"S",\N,"airport","OurAirports" 11179,"Maricá Airport","Marica","Brazil",\N,"SDMC",-22.9195,-42.830898,13,-3,"S",\N,"airport","OurAirports" 11180,"Resende Airport","Resende","Brazil","REZ","SDRS",-22.4785003662,-44.4803009033,1320,-3,"S",\N,"airport","OurAirports" 11181,"Saquarema Airport","Saquarema","Brazil",\N,"SDSK",-22.92972183227539,-42.50694274902344,26,-3,"S",\N,"airport","OurAirports" 11182,"Drumheller Municipal Airport","Drumheller","Canada",\N,"CEG4",51.49639892578125,-112.7490005493164,2597,-7,"A",\N,"airport","OurAirports" 11193,"Mwene-Ditu Airport","Mwene-Ditu","Congo (Kinshasa)",\N,"FZWE",-6.982999801635742,23.08300018310547,3198,1,"U",\N,"airport","OurAirports" 11194,"Tunta Airport","Kabinda","Congo (Kinshasa)","KBN","FZWT",-6.132999897,24.4829998016,2766,1,"U",\N,"airport","OurAirports" 11195,"Ikela Airport","Ikela","Congo (Kinshasa)","IKL","FZGV",-1.048109,23.372501,1283,1,"U",\N,"airport","OurAirports" 11198,"Aripuanã Airport","Aripuana","Brazil","AIR","SWRP",-10.188278,-59.457273,623,-4,"S",\N,"airport","OurAirports" 11199,"Juruena Airport","Juruena","Brazil","JRN","SWJU",-10.305832862854004,-58.489444732666016,525,-4,"S",\N,"airport","OurAirports" 11200,"Juína Airport","Juina","Brazil","JIA","SWJN",-11.419444,-58.701668,1083,-4,"S",\N,"airport","OurAirports" 11201,"Vila Rica Airport","Vila Rica","Brazil","VLP","SWVC",-9.979443550109863,-51.1422233581543,892,-4,"S",\N,"airport","OurAirports" 11202,"Inácio Luís do Nascimento Airport","Juara","Brazil","JUA","SIZX",-11.2966,-57.5495,870,-4,"S",\N,"airport","OurAirports" 11203,"Cáceres Airport","Caceres","Brazil","CCX","SWKC",-16.04360008239746,-57.62990188598633,492,-4,"S",\N,"airport","OurAirports" 11204,"Posto Leonardo Vilas Boas Airport","Chapada dos Guimaraes","Brazil",\N,"SWPL",-12.198332786560059,-53.38166809082031,1083,-4,"S",\N,"airport","OurAirports" 11205,"Tangará da Serra Airport","Tangara da Serra","Brazil","TGQ","SWTS",-14.661999702500001,-57.4435005188,1460,-4,"S",\N,"airport","OurAirports" 11206,"Canarana Airport","Canarana","Brazil","CQA","SWEK",-13.574443817138672,-52.27055740356445,1314,-4,"S",\N,"airport","OurAirports" 11207,"Vila Bela da Santíssima Trindade Airport","Vila Bela da Santissima Trindade ","Brazil","MTG","SWVB",-14.9942,-59.9458,660,-4,"S",\N,"airport","OurAirports" 11208,"Bumbar Airport","Bumba","Congo (Kinshasa)","BMB","FZFU",2.18278,22.481701,0,1,"U",\N,"airport","OurAirports" 11209,"Sobral Airport","Sobral","Brazil",\N,"SNOB",-3.67889,-40.336802,210,-3,"N",\N,"airport","OurAirports" 11210,"Arapiraca Airport","Arapiraca","Brazil","APQ","SNAL",-9.775360107421875,-36.62919998168945,886,-3,"N",\N,"airport","OurAirports" 11211,"Cangapara Airport","Floriano","Brazil","FLB","SNQG",-6.8463897705078125,-43.077301025390625,689,-3,"N",\N,"airport","OurAirports" 11212,"Picos Airport","Picos","Brazil","PCS","SNPC",-7.0620598793029785,-41.52370071411133,1050,-3,"N",\N,"airport","OurAirports" 11229,"Beni Airport","Beni","Congo (Kinshasa)","BNC","FZNP",0.575,29.4739,3517,1,"U",\N,"airport","OurAirports" 11230,"Boende Airport","Boende","Congo (Kinshasa)","BNB","FZGN",-0.21699999272823334,20.850000381469727,1168,1,"U",\N,"airport","OurAirports" 11243,"Montauk Airport","Montauk","United States","MTP","KMTP",41.0765,-71.920797,6,-4,"A",\N,"airport","OurAirports" 11255,"Porter County Municipal Airport","Valparaiso IN","United States","VPZ","KVPZ",41.45399857,-87.00710297,770,-5,"A",\N,"airport","OurAirports" 11257,"Dharavandhoo Airport","DHARAVANDHOO","Maldives","DRV","VRMD",5.1561,73.1302,6,5,"N",\N,"airport","OurAirports" 11258,"Saumlaki/Olilit Airport","Saumlaki","Indonesia","SXK","WAPI",-7.9886097908,131.305999756,218,9,"N",\N,"airport","OurAirports" 11268,"Cerro Largo International Airport","Melo","Uruguay","MLZ","SUMO",-32.33789825439453,-54.21670150756836,364,-3,"S",\N,"airport","OurAirports" 11269,"Tydeo Larre Borges Airport","Paysandu","Uruguay","PDU","SUPU",-32.36330032348633,-58.0619010925293,138,-3,"S",\N,"airport","OurAirports" 11270,"Artigas International Airport","Artigas ","Uruguay","ATI","SUAG",-30.400699615478516,-56.50790023803711,410,-3,"S",\N,"airport","OurAirports" 11272,"Murray Bridge Airport","Murray Bridge","Australia",\N,"YMBD",-35.06669998168945,139.2270050048828,55,10,"O",\N,"airport","OurAirports" 11273,"Horsham Airport","Horsham","Australia","HSM","YHSM",-36.669700622558594,142.17300415039062,445,10,"O",\N,"airport","OurAirports" 11274,"Swan Hill Airport","Swan Hill","Australia","SWH","YSWH",-35.37580108642578,143.5330047607422,234,10,"O",\N,"airport","OurAirports" 11277,"Turtle Island Seaplane Base","Turtle Island","Fiji","TTL","NFUL",-16.966,177.368,0,12,"O",\N,"airport","OurAirports" 11288,"Dewadaru - Kemujan Island","Karimunjawa","Indonesia","KWB","WARU",-5.80091,110.47838,35,7,"U",\N,"airport","OurAirports" 11290,"Kongolo Airport","Kongolo","Congo (Kinshasa)","KOO","FZRQ",-5.39444,26.99,1850,1,"U",\N,"airport","OurAirports" 11291,"Attopeu Airport","Attopeu","Laos","AOU","VLAP",14.814715357,106.821699142,344,7,"N",\N,"airport","OurAirports" 11292,"Kahemba Airport","Kahemba","Congo (Kinshasa)",\N,"FZCF",-7.333000183105469,19.017000198364258,3425,1,"U",\N,"airport","OurAirports" 11293,"Francisco de Miranda Airport","Caracas","Venezuela",\N,"SVFM",10.485033035299999,-66.8435134888,2739,-4,"S",\N,"airport","OurAirports" 11295,"São Miguel do Oeste Airport","Sao Miguel do Oeste","Brazil","SQX","SSOE",-26.781600952148438,-53.503501892089844,2180,-3,"S",\N,"airport","OurAirports" 11299,"Mason County Airport","Ludington","United States","LDM","KLDM",43.96250153,-86.40789795,646,-5,"A",\N,"airport","OurAirports" 11312,"Reid-Hillview Airport of Santa Clara County","San Jose","United States","RHV","KRHV",37.332901001,-121.819000244,135,8,"A",\N,"airport","OurAirports" 11328,"Sohar Airport","Sohar","Oman","OHS","OOSH",24.38604,56.62541,20,4,"U",\N,"airport","OurAirports" 11331,"Kadanwari Airport","Kadanwari","Pakistan","KCF","OPKW",27.1667003632,69.31670379639999,248,5,"U",\N,"airport","OurAirports" 11332,"Sawan Airport","Sindh","Pakistan","RZS","OPSW",26.9662,68.878098,160,5,"U",\N,"airport","OurAirports" 11352,"Thamkharka Airport","Thamkharka","Nepal",\N,"VNTH",27.04787,86.858022,5240,5.75,"U",\N,"airport","OurAirports" 11353,"Thimarafushi Airport","Thimarafushi","Maldives","TMF","VRNT",2.211,73.1533,6,5,"U",\N,"airport","OurAirports" 11354,"Ifuru Airport","Ifuru","Maldives","IFU","VREI",5.7083,73.025,20,5,"U",\N,"airport","OurAirports" 11355,"Kaintiba Airport","Kieta","Papua New Guinea","KZF","AYKT",-7.50025,146.033833333,2050,10,"U",\N,"airport","OurAirports" 11356,"Ordu Giresun Airport","Ordu-Giresun","Turkey","OGU","LTCB",40.966047,38.080994,11,2,"E",\N,"airport","OurAirports" 11357,"Hakkari Yüksekova Airport","Hakkari","Turkey","YKO","LTCW",37.5497,44.2381,6400,2,"E",\N,"airport","OurAirports" 11386,"Jelenia Góra Glider Airport","Jelenia Gora","Poland",\N,"EPJG",50.89889907836914,15.785599708557129,1119,1,"E",\N,"airport","OurAirports" 11389,"Bathpalathang Airport","Jakar","Bhutan","BUT","VQBT",27.5622,90.7471,8485,6,"N",\N,"airport","OurAirports" 11401,"Sultan Bantilan Airport","Toli-Toli","Indonesia","TLI","WAMI",1.123428,120.793658,40,8,"U",\N,"airport","OurAirports" 11406,"Vuktyl Airport","Vuktyl","Russia",\N,"UUYK",63.823299407958984,57.279998779296875,358,3,"U",\N,"airport","OurAirports" 11407,"Berezniki Airport","Berezniki","Russia",\N,"USPT",59.57954788208008,56.85768127441406,207,6,"U",\N,"airport","OurAirports" 11431,"San Sebastián Airport","San Sebastian","Chile",\N,"SCSS",-53.31700134277344,-68.6500015258789,50,-4,"S",\N,"airport","OurAirports" 11433,"Tolwin Observatory Airport","Tolhuin","Argentina",\N,"SAWL",-54.521900177,-67.1989974976,90,-3,"S",\N,"airport","OurAirports" 11436,"Tarko-Sale Airport","Tarko-Sale","Russia","TQL","USDS",64.9308013916,77.81809997559999,82,5,"U",\N,"airport","OurAirports" 11438,"Camarillo Airport","Camarillo - CA","United States",\N,"KCMA",34.21369934082031,-119.09400177001953,77,-8,"A",\N,"airport","OurAirports" 11452,"Leopoldsburg Airfield","Leopoldsburg","Belgium",\N,"EBLE",51.12,5.3072222,207,1,"E",\N,"airport","OurAirports" 11473,"Jinchuan Airport","Jinchuan","China","JIC","ZLJC",38.542222222199996,102.348333333,4740,8,"U",\N,"airport","OurAirports" 11479,"Omtepe Airport","Moyogalpa","Nicaragua",\N,"MNLP",11.523616,-85.702995,200,-6,"S",\N,"airport","OurAirports" 11498,"Alashankou Bole (Bortala) airport","Bole","China","BPL","ZWAX",44.895,82.3,1253,8,"N",\N,"airport","OurAirports" 11499,"Fuyun Koktokay Airport","Fuyun","China","FYN","ZWFY",46.804169,89.512006,3081,8,"N",\N,"airport","OurAirports" 11524,"Achinsk Airport","Achinsk","Russia","ACS","UNKS",56.2682991027832,90.57080078125,1033,8,"N",\N,"airport","OurAirports" 11545,"Linfen Qiaoli Airport","LINFEN","China","LFQ","ZBLF",36.132629,111.641236,1483,8,"U",\N,"airport","OurAirports" 11583,"Hinton/Jasper-Hinton Airport","Hinton","Canada","YJP","CEC4",53.3191986084,-117.752998352,4006,-7,"A",\N,"airport","OurAirports" 11638,"Watsonville Municipal Airport","Watsonville","United States","WVI","KWVI",36.9356994629,-121.790000916,163,-8,"A",\N,"airport","OurAirports" 11644,"Gelephu Airport","Gelephu","Bhutan","GLU","VQGP",26.88456,90.46412,980,6,"N",\N,"airport","OurAirports" 11648,"Hollister Municipal Airport","Hollister","United States","HLI","KCVH",36.8932991028,-121.410003662,230,-8,"A",\N,"airport","OurAirports" 11649,"Williamsburg Jamestown Airport","Williamsburg","United States",\N,"KJGG",37.239200592041016,-76.71610260009766,49,-5,"A",\N,"airport","OurAirports" 11658,"Dulkaninna Airport","Dulkaninna","Australia","DLK","YDLK",-29.0132999420166,138.4810028076172,0,9.5,"U",\N,"airport","OurAirports" 11673,"William Creek Airport","William Creek","Australia",\N,"YWMC",-28.906700134277344,136.3419952392578,91,9.5,"U",\N,"airport","OurAirports" 11684,"Kenora Seaplane Base","Kenora","Canada",\N,"CJM9",49.767424,-94.49274,1060,-6,"A",\N,"airport","OurAirports" 11685,"Rumbula Air Base","Riga","Latvia",\N,"EVRC",56.8833007812,24.2266998291,26,2,"E",\N,"airport","OurAirports" 11700,"Siquijor Airport","Siquijor","Philippines",\N,"RPVZ",9.214203223190001,123.472251892,0,8,"N",\N,"airport","OurAirports" 11702,"Opapimiskan Lake Airport","Musselwhite Mine","Canada","YBS","CKM8",52.6067008972,-90.3768997192,1023,-5,"A",\N,"airport","OurAirports" 11713,"Rizhao Shanzihe Airport","Rizhao","China","RIZ","ZSRZ",35.405033,119.324403,121,8,"N",\N,"airport","OurAirports" 11714,"Shaxian Airport","Sanming","China","SQJ","ZSSM",26.4263,117.8336,830,8,"N",\N,"airport","OurAirports" 11717,"Taroom Airport","Taroom","Australia","XTO","YTAM",-25.801700592041016,149.89999389648438,240,10,"N",\N,"airport","OurAirports" 11718,"Gelnhausen Airport","Gelnhausen","Germany",\N,"EDFG",50.19722366333008,9.170000076293945,446,1,"E",\N,"airport","OurAirports" 11719,"Ærø Airport","Aero","Denmark",\N,"EKAE",54.85279846191406,10.456399917602539,3,1,"E",\N,"airport","OurAirports" 11720,"Lauterbach Airport","Lauterbach-Wernges","Germany",\N,"EDFT",50.683334,9.410833,1211,1,"E",\N,"airport","OurAirports" 11721,"Aschaffenburg Airport","Aschaffenburg","Germany",\N,"EDFC",49.93888854980469,9.063888549804688,410,1,"E",\N,"airport","OurAirports" 11722,"Squamish Airport","Squamish","Canada","YSE","CYSE",49.7817001343,-123.162002563,171,-8,"A",\N,"airport","OurAirports" 11735,"Reichelsheim Airport","Reichelsheim","Germany",\N,"EDFB",50.33583450317383,8.878055572509766,397,1,"E",\N,"airport","OurAirports" 11737,"Marburg-Schönstadt Airport","Schoenstadt","Germany",\N,"EDFN",50.87444305419922,8.8149995803833,833,1,"E",\N,"airport","OurAirports" 11738,"Lauenbrück Airport","Lauenbrueck","Germany",\N,"EDHU",53.20750045776367,9.573332786560059,98,1,"E",\N,"airport","OurAirports" 11739,"Hüttenbusch Airport","Huettenbusch","Germany",\N,"EDXU",53.28666687011719,8.947221755981445,10,1,"E",\N,"airport","OurAirports" 11740,"Vrsar Crljenka Airport","Vsar","Croatia",\N,"LDPV",45.141700744628906,13.630599975585938,121,1,"E",\N,"airport","OurAirports" 11742,"Union County Airport","Marysville","United States",\N,"KMRT",40.224700927734375,-83.35160064697266,1021,-5,"A",\N,"airport","OurAirports" 11743,"La Grande-4 Airport","La Grande-4","Canada","YAH","CYAH",53.754699707,-73.6753005981,1005,\N,\N,\N,"airport","OurAirports" 11744,"Alert Bay Airport","Alert Bay","Canada","YAL","CYAL",50.58219909667969,-126.91600036621094,240,\N,\N,\N,"airport","OurAirports" 11745,"Liverpool South Shore Regional Airport","Liverpool","Canada",\N,"CYAU",44.2303009033,-64.85610198970001,321,\N,\N,\N,"airport","OurAirports" 11747,"Nipawin Airport","Nipawin","Canada",\N,"CYBU",53.33250045776367,-104.00800323486328,1220,\N,\N,\N,"airport","OurAirports" 11748,"Centralia / James T. Field Memorial Aerodrome","Centralia","Canada","YCE","CYCE",43.285599,-81.508301,824,\N,\N,\N,"airport","OurAirports" 11749,"Blue River Airport","Blue River","Canada",\N,"CYCP",52.11669921875,-119.28299713134766,2240,\N,\N,\N,"airport","OurAirports" 11750,"Chetwynd Airport","Chetwynd","Canada","YCQ","CYCQ",55.687198638916016,-121.62699890136719,2000,\N,\N,\N,"airport","OurAirports" 11751,"Ross River Airport","Ross River","Canada","XRR","CYDM",61.9706001282,-132.42300415,2314,\N,\N,\N,"airport","OurAirports" 11752,"Dolbeau St Felicien Airport","Dolbeau-St-Félicien","Canada","YDO","CYDO",48.778499603271,-72.375,372,\N,\N,\N,"airport","OurAirports" 11753,"Amos/Magny Airport","Amos","Canada","YEY","CYEY",48.563903,-78.249702,1068,\N,\N,\N,"airport","OurAirports" 11754,"Goderich Airport","Goderich","Canada",\N,"CYGD",43.7668991089,-81.7106018066,712,\N,\N,\N,"airport","OurAirports" 11755,"Hope Airport","Hope","Canada","YHE","CYHE",49.3683013916,-121.498001099,128,\N,\N,\N,"airport","OurAirports" 11756,"Haines Junction Airport","Haines Junction","Canada","YHT","CYHT",60.78919982910156,-137.54600524902344,2150,\N,\N,\N,"airport","OurAirports" 11757,"Digby / Annapolis Regional Airport","Digby","Canada","YDG","CYID",44.5458450365,-65.7854247093,499,\N,\N,\N,"airport","OurAirports" 11758,"Fort Liard Airport","Fort Liard","Canada","YJF","CYJF",60.235801696799996,-123.46900177,708,\N,\N,\N,"airport","OurAirports" 11759,"Key Lake Airport","Key Lake","Canada","YKJ","CYKJ",57.256099700927734,-105.61799621582031,1679,\N,\N,\N,"airport","OurAirports" 11760,"Leaf Rapids Airport","Leaf Rapids","Canada","YLR","CYLR",56.513301849365234,-99.98529815673828,959,\N,\N,\N,"airport","OurAirports" 11761,"Matane Airport","Matane","Canada","YME","CYME",48.85689926147461,-67.45330047607422,102,\N,\N,\N,"airport","OurAirports" 11762,"Charlevoix Airport","Charlevoix","Canada","YML","CYML",47.59749984741211,-70.2238998413086,977,\N,\N,\N,"airport","OurAirports" 11763,"Nejanilini Lake Airport","Nejanilini Lake","Canada",\N,"CYNN",59.4874992371,-97.78029632570001,1000,\N,\N,\N,"airport","OurAirports" 11764,"Owen Sound / Billy Bishop Regional Airport","Owen Sound","Canada","YOS","CYOS",44.5903015137,-80.8375015259,1007,\N,\N,\N,"airport","OurAirports" 11765,"Port Hawkesbury Airport","Port Hawkesbury","Canada","YPS","CYPD",45.6567001343,-61.3680992126,377,\N,\N,\N,"airport","OurAirports" 11766,"St Thomas Municipal Airport","St Thomas","Canada","YQS","CYQS",42.77000045776367,-81.11080169677734,778,\N,\N,\N,"airport","OurAirports" 11767,"Ottawa / Rockcliffe Airport","Ottawa","Canada","YRO","CYRO",45.4603004456,-75.64610290530001,188,\N,\N,\N,"airport","OurAirports" 11768,"Ottawa / Carp Airport","Ottawa","Canada",\N,"CYRP",45.3191986084,-76.0222015381,382,\N,\N,\N,"airport","OurAirports" 11769,"Smiths Falls-Montague (Russ Beach) Airport","Smiths Falls","Canada","YSH","CYSH",44.94580078125,-75.94059753417969,416,\N,\N,\N,"airport","OurAirports" 11770,"St Leonard Airport","St Leonard","Canada","YSL","CYSL",47.157501220703125,-67.83470153808594,793,\N,\N,\N,"airport","OurAirports" 11771,"Virden/R.J. (Bob) Andrew Field Regional Aerodrome","Virden","Canada",\N,"CYVD",49.8782997131,-100.917999268,1454,\N,\N,\N,"airport","OurAirports" 11772,"Vernon Airport","Vernon","Canada","YVE","CYVK",50.24810028076172,-119.33100128173828,1140,\N,\N,\N,"airport","OurAirports" 11773,"Beaver Creek Airport","Beaver Creek","Canada","YXQ","CYXQ",62.410301208496094,-140.86700439453125,2131,\N,\N,\N,"airport","OurAirports" 11774,"Shuswap Regional Airport","Salmon Arm","Canada","YSN","CZAM",50.682802,-119.228996,1751,\N,\N,\N,"airport","OurAirports" 11775,"Kelsey Airport","Kelsey","Canada","KES","CZEE",56.0374984741,-96.50969696039999,600,\N,\N,\N,"airport","OurAirports" 11776,"Pukatawagan Airport","Pukatawagan","Canada","XPK","CZFG",55.7491989136,-101.26599884,958,\N,\N,\N,"airport","OurAirports" 11777,"Grand Forks Airport","Grand Forks","Canada","ZGF","CZGF",49.01559829711914,-118.43099975585938,1720,\N,\N,\N,"airport","OurAirports" 11778,"Jenpeg Airport","Jenpeg","Canada","ZJG","CZJG",54.51890182495117,-98.04609680175781,729,\N,\N,\N,"airport","OurAirports" 11779,"Thicket Portage Airport","Thicket Portage","Canada","YTD","CZLQ",55.31890106201172,-97.70780181884766,678,\N,\N,\N,"airport","OurAirports" 11780,"Pikwitonei Airport","Pikwitonei","Canada","PIW","CZMN",55.58890151977539,-97.16419982910156,630,\N,\N,\N,"airport","OurAirports" 11781,"Poplar River Airport","Poplar River","Canada","XPP","CZNG",52.9965258788,-97.2741937637,728,\N,\N,\N,"airport","OurAirports" 11782,"Pincher Creek Airport","Pincher Creek","Canada","WPC","CZPC",49.520599365200006,-113.997001648,3903,\N,\N,\N,"airport","OurAirports" 11783,"Stewart Airport","Stewart","Canada","ZST","CZST",55.935410448,-129.982434511,24,\N,\N,\N,"airport","OurAirports" 11784,"Ignace Municipal Airport","Ignace","Canada","ZUC","CZUC",49.4296989440918,-91.7177963256836,1435,\N,\N,\N,"airport","OurAirports" 11785,"Neubrandenburg Airport","Neubrandenburg","Germany","FNB","EDBN",53.6022,13.306,228,\N,\N,\N,"airport","OurAirports" 11786,"Airport Bamberg-Breitenau","Bamberg","Germany",\N,"EDQA",49.920403,10.914233,811,\N,\N,\N,"airport","OurAirports" 11787,"Zerbst Airport","Zerbst/Anhalt","Germany",\N,"EDUZ",52.000832,12.148611,289,\N,\N,\N,"airport","OurAirports" 11788,"RAF Spadeadam","Spadeadam","United Kingdom",\N,"EGOM",55.0499992371,-2.54999995232,1066,\N,\N,\N,"airport","OurAirports" 11789,"RAF Kinloss","Kinloss","United Kingdom","FSS","EGQK",57.6493988037,-3.56064009666,22,\N,\N,\N,"airport","OurAirports" 11790,"Biała Podlaska Airfield","Biała Podlaska","Poland","BXP","EPBP",52.00078,23.1325278,485,\N,\N,\N,"airport","OurAirports" 11791,"Cewice Air Base","Lębork","Poland",\N,"EPCE",54.416,17.7633,495,\N,\N,\N,"airport","OurAirports" 11792,"Deblin Military Air Base","Dęblin","Poland",\N,"EPDE",51.551399231,21.8936004639,392,\N,\N,\N,"airport","OurAirports" 11793,"Leczyca Military Air Base","Leczyca","Poland",\N,"EPLY",52.004699707,19.1455993652,377,\N,\N,\N,"airport","OurAirports" 11794,"Minsk Mazowiecki Military Air Base","","Poland",\N,"EPMM",52.1954994202,21.6558990479,604,\N,\N,\N,"airport","OurAirports" 11795,"Powidz Military Air Base","","Poland",\N,"EPPW",52.379398,17.853901,371,\N,\N,\N,"airport","OurAirports" 11796,"Tomaszow Mazowiecki Military Air Base","Tomaszów Mazowiecki","Poland",\N,"EPTM",51.584400177,20.0977993011,571,\N,\N,\N,"airport","OurAirports" 11797,"Björkvik Air Base","Björkvik","Sweden",\N,"ESKX",58.79079818725586,16.571199417114258,0,\N,\N,\N,"airport","OurAirports" 11798,"Ljungbyhed Airport","Ljungbyhed","Sweden",\N,"ESTL",56.082801818847656,13.212499618530273,140,\N,\N,\N,"airport","OurAirports" 11799,"Daugavpils Intrenational Airport","Daugavpils","Latvia","DGP","EVDA",55.944721221900004,26.6650009155,398,\N,\N,\N,"airport","OurAirports" 11800,"Jēkabpils Air Base","Jēkabpils","Latvia",\N,"EVKA",56.534698,25.8925,289,\N,\N,\N,"airport","OurAirports" 11801,"Jūrmala Airport","Tukums","Latvia",\N,"EVTA",56.9422,23.2239,220,\N,\N,\N,"airport","OurAirports" 11802,"Kėdainiai Air Base","Kėdainiai","Lithuania",\N,"EYKD",55.31169891357422,23.95639991760254,171,\N,\N,\N,"airport","OurAirports" 11803,"Lime Acres Finsch Mine Airport","Lime Acres","South Africa","LMR","FALC",-28.36009979248047,23.43910026550293,4900,\N,\N,\N,"airport","OurAirports" 11804,"Sua Pan Airport","Sowa","Botswana","SXN","FBSN",-20.5534,26.115801,2985,\N,\N,\N,"airport","OurAirports" 11805,"Lusaka City Airport","Lusaka","Zambia",\N,"FLLC",-15.4138002396,28.3306999207,4200,\N,\N,\N,"airport","OurAirports" 11806,"Sumbe Airport","Sumbe","Angola","NDD","FNSU",-11.167900085449219,13.84749984741211,36,\N,\N,\N,"airport","OurAirports" 11807,"Mangochi Airport","Mangochi","Malawi","MAI","FWMG",-14.482999801635742,35.266998291015625,1580,\N,\N,\N,"airport","OurAirports" 11808,"Arandis Airport","Arandis","Namibia","ADI","FYAR",-22.462200164794922,14.979999542236328,1905,\N,\N,\N,"airport","OurAirports" 11809,"Mariental Airport","Mariental","Namibia",\N,"FYML",-24.60540008544922,17.925399780273438,3650,\N,\N,\N,"airport","OurAirports" 11810,"Almaza Air Force Base","Cairo","Egypt",\N,"HEAZ",30.091800689697266,31.360000610351562,300,\N,\N,\N,"airport","OurAirports" 11811,"Beni Suef Air Base","Beni Suef","Egypt",\N,"HEBS",29.20829963684082,31.016599655151367,108,\N,\N,\N,"airport","OurAirports" 11812,"Jiyanklis Air Base","Jiyanklis","Egypt",\N,"HEGS",30.819799423217773,30.191200256347656,49,\N,\N,\N,"airport","OurAirports" 11813,"Merowe New Airport","Merowe","Sudan","MWE","HSMN",18.4433333333,31.8433333333,897,\N,\N,\N,"airport","OurAirports" 11814,"St Louis Regional Airport","Alton/St Louis","United States","ALN","KALN",38.89030075069999,-90.0459976196,544,\N,\N,\N,"airport","OurAirports" 11815,"Chandler Field","Alexandria","United States","AXN","KAXN",45.8662986755,-95.39469909670001,1425,\N,\N,\N,"airport","OurAirports" 11816,"Columbus Municipal Airport","Columbus","United States","CLU","KBAK",39.2619018555,-85.8963012695,656,\N,\N,\N,"airport","OurAirports" 11817,"Curtis Field","Brady","United States","BBD","KBBD",31.1793003082,-99.3238983154,1827,\N,\N,\N,"airport","OurAirports" 11818,"Eastern Sierra Regional Airport","Bishop","United States","BIH","KBIH",37.3731002808,-118.363998413,4124,\N,\N,\N,"airport","OurAirports" 11819,"Baker City Municipal Airport","Baker City","United States","BKE","KBKE",44.837299346900004,-117.808998108,3373,\N,\N,\N,"airport","OurAirports" 11820,"Miley Memorial Field","Big Piney","United States","BPI","KBPI",42.58509827,-110.1110001,6990,\N,\N,\N,"airport","OurAirports" 11821,"Ozark Regional Airport","Mountain Home","United States","WMH","KBPK",36.3689002991,-92.47049713130001,928,\N,\N,\N,"airport","OurAirports" 11822,"W K Kellogg Airport","Battle Creek","United States","BTL","KBTL",42.307300567599995,-85.2515029907,952,\N,\N,\N,"airport","OurAirports" 11823,"Burley Municipal Airport","Burley","United States","BYI","KBYI",42.542598724399994,-113.772003174,4150,\N,\N,\N,"airport","OurAirports" 11824,"Northeast Iowa Regional Airport","Charles City","United States","CCY","KCCY",43.0726013184,-92.6108016968,1125,\N,\N,\N,"airport","OurAirports" 11825,"Chanute Martin Johnson Airport","Chanute","United States","CNU","KCNU",37.668800354,-95.4850997925,1002,\N,\N,\N,"airport","OurAirports" 11826,"Jacksonville Executive at Craig Airport","Jacksonville","United States","CRG","KCRG",30.3362998962,-81.51439666750001,41,\N,\N,\N,"airport","OurAirports" 11827,"Crossville Memorial Whitson Field","Crossville","United States","CSV","KCSV",35.9513015747,-85.08499908450001,1881,\N,\N,\N,"airport","OurAirports" 11828,"Davison Army Air Field","Fort Belvoir","United States","DAA","KDAA",38.715000152600005,-77.1809997559,73,\N,\N,\N,"airport","OurAirports" 11829,"Barstow Daggett Airport","Daggett","United States","DAG","KDAG",34.85369873,-116.7870026,1930,\N,\N,\N,"airport","OurAirports" 11830,"Deming Municipal Airport","Deming","United States","DMN","KDMN",32.262298584,-107.721000671,4314,\N,\N,\N,"airport","OurAirports" 11831,"Desert Rock Airport","Mercury","United States","DRA","KDRA",36.6194,-116.032997,3314,\N,\N,\N,"airport","OurAirports" 11832,"Needles Airport","Needles","United States","EED","KEED",34.7663002014,-114.623001099,983,\N,\N,\N,"airport","OurAirports" 11833,"Duke Field","Crestview","United States","EGI","KEGI",30.65040016,-86.52290344,191,\N,\N,\N,"airport","OurAirports" 11834,"Murray Field","Eureka","United States","EKA","KEKA",40.803398132299996,-124.112998962,7,\N,\N,\N,"airport","OurAirports" 11835,"San Marcos Regional Airport","San Marcos","United States",\N,"KHYI",29.8927,-97.862999,597,\N,\N,\N,"airport","OurAirports" 11836,"Sawyer County Airport","Hayward","United States","HYR","KHYR",46.025199890100005,-91.44429779050002,1216,\N,\N,\N,"airport","OurAirports" 11837,"Kimble County Airport","Junction","United States","JCT","KJCT",30.5112991333,-99.7634963989,1749,\N,\N,\N,"airport","OurAirports" 11838,"Monticello Municipal Ellis Field","Monticello","United States",\N,"KLLQ",33.6385994,-91.75099945,270,\N,\N,\N,"airport","OurAirports" 11839,"Derby Field","Lovelock","United States","LOL","KLOL",40.0663986206,-118.565002441,3904,\N,\N,\N,"airport","OurAirports" 11840,"Mobridge Municipal Airport","Mobridge","United States","MBG","KMBG",45.54650116,-100.4079971,1716,\N,\N,\N,"airport","OurAirports" 11841,"Mc Comb/Pike County Airport/John E Lewis Field","Mc Comb","United States","MCB","KMCB",31.17849922,-90.47190094,413,\N,\N,\N,"airport","OurAirports" 11842,"Southern Illinois Airport","Carbondale/Murphysboro","United States","MDH","KMDH",37.778099060058594,-89.25199890136719,411,\N,\N,\N,"airport","OurAirports" 11843,"Mc Entire Joint National Guard Base","Eastover","United States","MMT","KMMT",33.92079926,-80.80130005,254,\N,\N,\N,"airport","OurAirports" 11844,"Brunswick Executive Airport","Brunswick","United States","NHZ","KNHZ",43.89220047,-69.93859863,72,\N,\N,\N,"airport","OurAirports" 11845,"Naval Station Mayport (Admiral David L. Mcdonald Field)","Mayport","United States","NRB","KNRB",30.39109993,-81.42469788,15,\N,\N,\N,"airport","OurAirports" 11846,"Orangeburg Municipal Airport","Orangeburg","United States","OGB","KOGB",33.456798553467,-80.859497070312,195,\N,\N,\N,"airport","OurAirports" 11847,"Columbus Municipal Airport","Columbus","United States",\N,"KOLU",41.44800186,-97.34259796,1447,\N,\N,\N,"airport","OurAirports" 11848,"Ottumwa Regional Airport","Ottumwa","United States","OTM","KOTM",41.10660172,-92.44789886,845,\N,\N,\N,"airport","OurAirports" 11849,"Cairns AAF (Fort Rucker) Air Field","Fort Rucker/Ozark","United States","OZR","KOZR",31.27569962,-85.71340179,301,\N,\N,\N,"airport","OurAirports" 11850,"Ralph Wenz Field","Pinedale","United States","PWY","KPNA",42.79550171,-109.8069992,7102,\N,\N,\N,"airport","OurAirports" 11851,"Dutchess County Airport","Poughkeepsie","United States","POU","KPOU",41.6265983581543,-73.88420104980469,165,\N,\N,\N,"airport","OurAirports" 11852,"New Richmond Regional Airport","New Richmond","United States",\N,"KRNH",45.14830017,-92.5381012,998,\N,\N,\N,"airport","OurAirports" 11853,"Russell Municipal Airport","Russell","United States","RSL","KRSL",38.872100830078,-98.811798095703,1862,\N,\N,\N,"airport","OurAirports" 11854,"Redwood Falls Municipal Airport","Redwood Falls","United States","RWF","KRWF",44.54719925,-95.08229828,1024,\N,\N,\N,"airport","OurAirports" 11855,"Salinas Municipal Airport","Salinas","United States","SNS","KSNS",36.662799835205,-121.60600280762,85,\N,\N,\N,"airport","OurAirports" 11856,"Sonora Municipal Airport","Sonora","United States",\N,"KSOA",30.585699081421,-100.6490020752,2140,\N,\N,\N,"airport","OurAirports" 11857,"Saline County Regional Airport","Benton","United States",\N,"KSUZ",34.59059906,-92.47940063,390,\N,\N,\N,"airport","OurAirports" 11858,"Tonopah Airport","Tonopah","United States","TPH","KTPH",38.06019974,-117.086998,5430,\N,\N,\N,"airport","OurAirports" 11859,"Aurora State Airport","Aurora","United States",\N,"KUAO",45.247100830078125,-122.7699966430664,200,\N,\N,\N,"airport","OurAirports" 11860,"Ukiah Municipal Airport","Ukiah","United States","UKI","KUKI",39.125999450684,-123.20099639893,614,\N,\N,\N,"airport","OurAirports" 11861,"University Oxford Airport","Oxford","United States","UOX","KUOX",34.384300231934,-89.536796569824,452,\N,\N,\N,"airport","OurAirports" 11862,"Huntsville Regional Airport","Huntsville","United States","HTV","KUTS",30.7469005585,-95.5871963501,363,\N,\N,\N,"airport","OurAirports" 11863,"Miller Field","Valentine","United States","VTN","KVTN",42.85779953,-100.5479965,2596,\N,\N,\N,"airport","OurAirports" 11864,"Winnemucca Municipal Airport","Winnemucca","United States","WMC","KWMC",40.8965988159,-117.805999756,4308,\N,\N,\N,"airport","OurAirports" 11865,"West Woodward Airport","Woodward","United States","WWR","KWWR",36.438,-99.5226667,2189,\N,\N,\N,"airport","OurAirports" 11866,"Cape Canaveral AFS Skid Strip","Cocoa Beach","United States",\N,"KXMR",28.4675998688,-80.56659698490002,10,\N,\N,\N,"airport","OurAirports" 11867,"Homey (Area 51) Airport","Groom Lake","United States",\N,"KXTA",37.23500061035156,-115.81099700927734,4462,\N,\N,\N,"airport","OurAirports" 11868,"Zanesville Municipal Airport","Zanesville","United States","ZZV","KZZV",39.9444007874,-81.89209747310001,900,\N,\N,\N,"airport","OurAirports" 11869,"Gjadër Air Base","Gjadër","Albania",\N,"LAGJ",41.895199,19.5987,23,\N,\N,\N,"airport","OurAirports" 11870,"Kukës Airport","Kukës","Albania",\N,"LAKU",42.033699035599994,20.4158992767,1120,\N,\N,\N,"airport","OurAirports" 11871,"Kuçovë Air Base","Kuçovë","Albania",\N,"LAKV",40.77190017700195,19.901899337768555,135,\N,\N,\N,"airport","OurAirports" 11872,"Vlorë Air Base","Vlorë","Albania",\N,"LAVL",40.47610092163086,19.474199295043945,3,\N,\N,\N,"airport","OurAirports" 11873,"Haskovo Malevo Airport","Haskovo","Bulgaria",\N,"LBHS",41.976398,25.5898,160,\N,\N,\N,"airport","OurAirports" 11874,"Gabrovnitsa Air Base","Gabrovnitsa","Bulgaria",\N,"LBMG",43.5443000793457,23.272499084472656,626,\N,\N,\N,"airport","OurAirports" 11875,"Graf Ignatievo Air Base","Graf Ignatievo","Bulgaria",\N,"LBPG",42.290401458740234,24.714000701904297,190,\N,\N,\N,"airport","OurAirports" 11876,"Dolna Mitropoliya Air Base","Dolna Mitropoliya","Bulgaria",\N,"LBPL",43.451401,24.5028,330,\N,\N,\N,"airport","OurAirports" 11877,"Balchik Air Base","Balchik","Bulgaria",\N,"LBWB",43.42380142211914,28.181299209594727,660,\N,\N,\N,"airport","OurAirports" 11878,"Cuatro Vientos Airport","Madrid","Spain","ECV","LECU",40.370701,-3.78514,2269,\N,\N,\N,"airport","OurAirports" 11879,"Castellón-Costa Azahar Airport","Castellón de la Plana","Spain","CDT","LEDS",40.213889,0.073333,1145,\N,\N,\N,"airport","OurAirports" 11880,"Teruel Airport","Teruel","Spain","TEV","LETL",40.403,-1.2183,3380,\N,\N,\N,"airport","OurAirports" 11881,"Blois-Le Breuil Airport","Blois/Le Breuil","France",\N,"LFOQ",47.678502,1.20884,398,\N,\N,\N,"airport","OurAirports" 11882,"Trento-Mattarello Airport","Trento (TN)","Italy",\N,"LIDT",46.0214,11.1242,610,\N,\N,\N,"airport","OurAirports" 11883,"Alessandria Airport","Alessandria","Italy",\N,"LILA",44.925201,8.62513,299,\N,\N,\N,"airport","OurAirports" 11884,"Biella-Cerrione Airport","Biella (BI)","Italy",\N,"LILE",45.4953,8.10278,920,\N,\N,\N,"airport","OurAirports" 11885,"Vercelli Airport","Vercelli","Italy",\N,"LILI",45.310233,8.417935,417,\N,\N,\N,"airport","OurAirports" 11886,"Casale Monferrato Airport","Casale Monferrato","Italy",\N,"LILM",45.111198,8.45603,377,\N,\N,\N,"airport","OurAirports" 11887,"Varese-Venegono Airport","Varese","Italy",\N,"LILN",45.742199,8.888233,1050,\N,\N,\N,"airport","OurAirports" 11888,"Novi Ligure Airport","Novi Ligure","Italy",\N,"LIMR",44.779999,8.78639,607,\N,\N,\N,"airport","OurAirports" 11889,"Sarzana-Luni Air Base","Sarzana (SP)","Italy","QLP","LIQW",44.088001,9.98795,45,\N,\N,\N,"airport","OurAirports" 11890,"Câmpia Turzii Air Base","Câmpia Turzii","Romania",\N,"LRCT",46.50230026245117,23.885900497436523,1083,\N,\N,\N,"airport","OurAirports" 11891,"Mărculeşti International Airport","Mărculeşti","Moldova",\N,"LUBM",47.862701416015625,28.212799072265625,312,\N,\N,\N,"airport","OurAirports" 11892,"Cahul International Airport","Cahul","Moldova",\N,"LUCH",45.8437995911,28.263700485199998,652,\N,\N,\N,"airport","OurAirports" 11893,"Tiraspol Airport","Tiraspol","Moldova",\N,"LUTR",46.868099212646484,29.590599060058594,141,\N,\N,\N,"airport","OurAirports" 11894,"Batajnica Air Base","Batajnica","Serbia","BJY","LYBT",44.935299,20.2575,265,\N,\N,\N,"airport","OurAirports" 11895,"Rubelsanto Airport","Rubelsanto","Guatemala","RUV","MGRB",15.991999626159668,-90.44529724121094,426,\N,\N,\N,"airport","OurAirports" 11896,"Coronel Enrique Soto Cano Air Base","Comayagua","Honduras","XPL","MHSC",14.3824,-87.621201,2061,\N,\N,\N,"airport","OurAirports" 11897,"Upala Airport","Upala","Costa Rica","UPL","MRUP",10.8922,-85.016197,184,\N,\N,\N,"airport","OurAirports" 11898,"San Nicolas De Bari Airport","San Nicolás","Cuba","QSN","MUNB",22.756099700927734,-81.9208984375,49,\N,\N,\N,"airport","OurAirports" 11899,"San Julian Air Base","Pinar Del Rio","Cuba","SNJ","MUSJ",22.095300674438477,-84.1520004272461,98,\N,\N,\N,"airport","OurAirports" 11900,"King Salman Abdulaziz Airport","","Saudi Arabia","DWD","OEDM",24.4499,44.121201,3026,\N,\N,\N,"airport","OurAirports" 11901,"King Khaled Air Base","","Saudi Arabia","KMX","OEKM",18.297300338745117,42.80350112915039,6778,\N,\N,\N,"airport","OurAirports" 11902,"Riyadh Air Base","Riyadh","Saudi Arabia","XXN","OERY",24.709800720214844,46.72520065307617,2082,\N,\N,\N,"airport","OurAirports" 11903,"Jam Airport","Kangan","Iran","KNR","OIBJ",27.820499420166016,52.35219955444336,2173,\N,\N,\N,"airport","OurAirports" 11904,"Hamadan Air Base","Hamadan","Iran",\N,"OIHS",35.21160125732422,48.65340042114258,5609,\N,\N,\N,"airport","OurAirports" 11905,"Payam International Airport","Karaj","Iran","PYK","OIIP",35.776100158691,50.826698303223,4170,\N,\N,\N,"airport","OurAirports" 11906,"Ahmed Al Jaber Air Base","Ahmed Al Jaber AB","Kuwait","XIJ","OKAJ",28.9347991943,47.791900634799994,409,\N,\N,\N,"airport","OurAirports" 11907,"Rayak Air Base","Rayak","Lebanon",\N,"OLRA",33.850799560546875,35.987701416015625,3018,\N,\N,\N,"airport","OurAirports" 11908,"Mirpur Khas Air Base","Mirpur Khas","Pakistan",\N,"OPMK",25.682501,69.0728,180,\N,\N,\N,"airport","OurAirports" 11909,"Minhas Air Base","Kamra","Pakistan","ATG","OPMS",33.8690986633,72.4009017944,1023,\N,\N,\N,"airport","OurAirports" 11910,"Rafiqui Air Base","Shorkot","Pakistan",\N,"OPRQ",30.758100509643555,72.28250122070312,492,\N,\N,\N,"airport","OurAirports" 11911,"Faisal Air Base","Karachi","Pakistan",\N,"OPSF",24.87420082092285,67.11849975585938,29,\N,\N,\N,"airport","OurAirports" 11912,"Mushaf Air Base","Sargodha","Pakistan","SGI","OPSR",32.04859924316406,72.66500091552734,614,\N,\N,\N,"airport","OurAirports" 11913,"Qayyarah West Airport","Qayyarah","Iraq","RQW","ORQW",35.76720047,43.125099182099994,749,\N,\N,\N,"airport","OurAirports" 11914,"Al Sahra Army Air Field","Tikrit","Iraq",\N,"ORSH",34.67319869995117,43.542999267578125,451,\N,\N,\N,"airport","OurAirports" 11915,"Tall Afar Army Air Field","Tall Afar","Iraq",\N,"ORTF",36.28310012817383,42.40299987792969,996,\N,\N,\N,"airport","OurAirports" 11916,"Al Taji Army Air Field","Taji","Iraq",\N,"ORTI",33.52389907836914,44.25669860839844,121,\N,\N,\N,"airport","OurAirports" 11917,"Ubaydah Bin Al Jarrah Airport","Al Cut","Iraq",\N,"ORUB",32.481998443603516,45.75709915161133,68,\N,\N,\N,"airport","OurAirports" 11918,"Nenana Municipal Airport","Nenana","United States","ENN","PANN",64.54730224609375,-149.07400512695312,362,\N,\N,\N,"airport","OurAirports" 11919,"Wasilla Airport","Wasilla","United States","WWA","PAWS",61.5717010498,-149.539993286,354,\N,\N,\N,"airport","OurAirports" 11920,"Gangshan Air Force Base","Gangshan","Taiwan",\N,"RCAY",22.782499313354492,120.26300048828125,34,\N,\N,\N,"airport","OurAirports" 11921,"Asahikawa Airfield","","Japan",\N,"RJCA",43.794734,142.365432,377,\N,\N,\N,"airport","OurAirports" 11922,"Iwakuni Marine Corps Air Station","Iwakuni","Japan","IWK","RJOI",34.143902,132.235992,7,\N,\N,\N,"airport","OurAirports" 11923,"Utsunomiya Airport","","Japan",\N,"RJTU",36.5145,139.87101,334,\N,\N,\N,"airport","OurAirports" 11924,"Jungwon Air Base/Chungju Airport","","South Korea",\N,"RKTI",37.03024,127.886353,281,\N,\N,\N,"airport","OurAirports" 11925,"Ie Jima Airport","Ie","Japan","IEJ","RORE",26.7220001221,127.785003662,246,\N,\N,\N,"airport","OurAirports" 11926,"Allah Valley Airport","Surallah","Philippines","AAV","RPMA",6.366819858551025,124.7509994506836,659,\N,\N,\N,"airport","OurAirports" 11927,"Bislig Airport","","Philippines","BPH","RPMF",8.19594955444336,126.3219985961914,12,\N,\N,\N,"airport","OurAirports" 11928,"Mati National Airport","","Philippines","MXI","RPMQ",6.949091,126.27368,156,\N,\N,\N,"airport","OurAirports" 11929,"Presidente Néstor Kirchner Regionsl Airport","Villa Maria","Argentina",\N,"SAOV",-32.3201,-63.22663,670,\N,\N,\N,"airport","OurAirports" 11930,"Chafei Amsei Airport","Barretos","Brazil","BAT","SBBT",-20.584499359131,-48.594100952148,1898,\N,\N,\N,"airport","OurAirports" 11931,"Base de Aviação de Taubaté Airport","Taubaté","Brazil","QHP","SBTA",-23.04010009765625,-45.51599884033203,1908,\N,\N,\N,"airport","OurAirports" 11932,"Barriles Airport","Tocopilla","Chile","TOQ","SCBE",-22.14109992980957,-70.06289672851562,3475,\N,\N,\N,"airport","OurAirports" 11933,"Schroeder's field","Cochrane","Chile",\N,"SCHR",35.071718,-91.738801,0,\N,\N,\N,"airport","OurAirports" 11934,"Chañaral Airport","Chañaral","Chile","CNR","SCRA",-26.332500457763672,-70.6072998046875,97,\N,\N,\N,"airport","OurAirports" 11935,"Panguilemo Airport","Talca","Chile","TLX","SCTL",-35.37779998779297,-71.60169982910156,371,\N,\N,\N,"airport","OurAirports" 11936,"Victoria Airport","Victoria","Chile","ZIC","SCTO",-38.245601654052734,-72.34860229492188,1148,\N,\N,\N,"airport","OurAirports" 11937,"Las Breas Airport","Taltal","Chile","TTC","SCTT",-25.564300537109375,-70.37590026855469,2580,\N,\N,\N,"airport","OurAirports" 11938,"Gomez Nino Apiay Air Base","Apiay","Colombia","API","SKAP",4.07607,-73.5627,1207,\N,\N,\N,"airport","OurAirports" 11939,"Coveñas Airport","Coveñas","Colombia","CVE","SKCV",9.40092,-75.6913,31,\N,\N,\N,"airport","OurAirports" 11940,"German Olano Air Base","La Dorada","Colombia","PAL","SKPQ",5.48361,-74.6574,566,\N,\N,\N,"airport","OurAirports" 11941,"Paz De Ariporo Airport","Paz De Ariporo","Colombia","PZA","SKPZ",5.87615,-71.8866,900,\N,\N,\N,"airport","OurAirports" 11942,"Tunja Airport","Tunja","Colombia",\N,"SKTJ",5.54138,-73.3445,8940,\N,\N,\N,"airport","OurAirports" 11943,"Tres Esquinas Air Base","Tres Esquinas","Colombia","TQS","SKTQ",0.7459,-75.234,585,\N,\N,\N,"airport","OurAirports" 11944,"Marandúa Air Base","Marandúa","Colombia",\N,"SKUA",5.52448,-68.6856,285,\N,\N,\N,"airport","OurAirports" 11945,"Juan Simons Vela Airport","Rioja","Peru","RIJ","SPJA",-6.067860126495361,-77.16000366210938,2707,\N,\N,\N,"airport","OurAirports" 11946,"Shumba Airport","Jaén","Peru","JAE","SPJE",-5.59248,-78.774002,2477,\N,\N,\N,"airport","OurAirports" 11947,"Metropolitano Airport","","Venezuela",\N,"SVMP",10.133169174194336,-66.78782653808594,574,\N,\N,\N,"airport","OurAirports" 11948,"Issyk-Kul International Airport","Tamchy","Kyrgyzstan","IKU","UAFL",42.58792,76.713046,5425,\N,\N,\N,"airport","OurAirports" 11949,"Kant Air Base","Kant","Kyrgyzstan",\N,"UAFW",42.85319900512695,74.84649658203125,2549,\N,\N,\N,"airport","OurAirports" 11950,"Ayaguz Airport","Ayaguz","Kazakhstan",\N,"UASA",47.91859817504883,80.45279693603516,2119,\N,\N,\N,"airport","OurAirports" 11951,"Chelkar Airport","Chelkar","Kazakhstan",\N,"UATR",47.904998779296875,59.619998931884766,0,\N,\N,\N,"airport","OurAirports" 11952,"Kyzyl-Syr Airport","Kyzyl-Syr","Russia",\N,"UENK",63.8849983215332,122.7770004272461,331,\N,\N,\N,"airport","OurAirports" 11953,"Vilyuisk Airport","Vilyuisk","Russia","VYI","UENW",63.75666809082,121.69333648682,361,\N,\N,\N,"airport","OurAirports" 11954,"Belaya Gora Airport","","Russia","BGN","UESG",68.556602,146.231506,118,\N,\N,\N,"airport","OurAirports" 11955,"Dzhermuk Airport","Dzhermuk","Armenia",\N,"UGEJ",39.8240013123,45.673999786399996,0,\N,\N,\N,"airport","OurAirports" 11956,"Kamenny Ruchey Naval Air Base","Sovetskaya Gavan","Russia",\N,"UHKG",49.23570251464844,140.19309997558594,659,\N,\N,\N,"airport","OurAirports" 11957,"Maygatka Airport.","Sovetskaya Gavan","Russia","GVN","UHKM",48.926998138399995,140.033996582,768,\N,\N,\N,"airport","OurAirports" 11958,"Omsukchan Airport","Omsukchan","Russia",\N,"UHMF",62.457000732421875,155.7449951171875,1732,\N,\N,\N,"airport","OurAirports" 11959,"Chaybukha Airport","Chaybukha","Russia",\N,"UHMG",61.834999084472656,160.54800415039062,207,\N,\N,\N,"airport","OurAirports" 11960,"Keperveem Airport","Keperveem","Russia",\N,"UHMK",67.8450012207,166.13999939,623,\N,\N,\N,"airport","OurAirports" 11961,"Magadan-13 Airport","Magadan","Russia",\N,"UHMT",59.62329864501953,150.9219970703125,164,\N,\N,\N,"airport","OurAirports" 11962,"Nikolayevsk-na-Amure Airport","Nikolayevsk-na-Amure Airport","Russia","NLI","UHNN",53.154999,140.649994,170,\N,\N,\N,"airport","OurAirports" 11963,"Palana Airport","Palana","Russia",\N,"UHPL",59.08169937133789,159.88800048828125,112,\N,\N,\N,"airport","OurAirports" 11964,"Zheleznogorsk Airport","Zheleznogorsk-Ilimsky","Russia",\N,"UIBV",56.487701416015625,104.10600280761719,1946,\N,\N,\N,"airport","OurAirports" 11965,"Gvardeyskoe Air Base","Sarabuz","Ukraine",\N,"UKFG",45.1150016784668,33.97700119018555,721,\N,\N,\N,"airport","OurAirports" 11966,"Saki Air Base","Saki","Ukraine",\N,"UKFI",45.09299850463867,33.595001220703125,36,\N,\N,\N,"airport","OurAirports" 11967,"Dzhankoy Airport","Dzhankoy","Ukraine",\N,"UKFY",45.70090103149414,34.41889953613281,75,\N,\N,\N,"airport","OurAirports" 11968,"Ozerne Air Base","Zhytomyr","Ukraine",\N,"UKKO",50.158298,28.7383,761,\N,\N,\N,"airport","OurAirports" 11969,"Severomorsk-1 Naval Air Base","Severomorsk","Russia",\N,"ULAK",69.03166961669922,33.418331146240234,239,\N,\N,\N,"airport","OurAirports" 11970,"Pushkin Airport","St. Petersburg","Russia",\N,"ULLP",59.685001,30.338301,230,\N,\N,\N,"airport","OurAirports" 11971,"Siversky Air Base","Siversky","Russia",\N,"ULLS",59.3567008972168,30.036699295043945,341,\N,\N,\N,"airport","OurAirports" 11972,"Staraya Russa Air Base","Staraya Russa","Russia",\N,"ULNR",57.961399,31.384399,52,\N,\N,\N,"airport","OurAirports" 11973,"Peski Airport","Petrozavodsk","Russia",\N,"ULPP",61.83194351196289,34.295555114746094,0,\N,\N,\N,"airport","OurAirports" 11974,"Baranavichi Air Base","Baranavichi","Belarus",\N,"UMMA",53.099998474121094,26.049999237060547,0,\N,\N,\N,"airport","OurAirports" 11975,"Babruisk Air Base","Babruisk","Belarus",\N,"UMNB",53.105,29.205,502,\N,\N,\N,"airport","OurAirports" 11976,"Severo-Eniseysk Airport","Severo-Eniseysk","Russia",\N,"UNIS",60.37329864501953,93.01170349121094,1706,\N,\N,\N,"airport","OurAirports" 11977,"Sharypovo Airport","Sharypovo","Russia",\N,"UNKO",55.454914093,89.1738815308,1099,\N,\N,\N,"airport","OurAirports" 11978,"Omsk Severny Airport","Omsk","Russia",\N,"UNOS",54.9749984741,73.5550003052,0,\N,\N,\N,"airport","OurAirports" 11979,"Nagurskoye","Murmansk","Russia",\N,"UODN",80.803207,47.663586,59,\N,\N,\N,"airport","OurAirports" 11980,"Svetlogorsk Airport","Svetlogorsk","Russia",\N,"UOIG",66.83999633789062,88.40333557128906,394,\N,\N,\N,"airport","OurAirports" 11981,"Valek Airport","Valek","Russia",\N,"UOOW",69.39690399169922,88.35368347167969,108,\N,\N,\N,"airport","OurAirports" 11982,"Khanskaya Air Base","Maykop","Russia",\N,"URKH",44.68,40.035,600,\N,\N,\N,"airport","OurAirports" 11983,"Dudinka Airport","Dudinka","Russia",\N,"UROD",69.375,86.15666961669922,82,\N,\N,\N,"airport","OurAirports" 11984,"Volgodonsk Airport","","Russia","VLK","URRY",47.682098388671875,42.07279968261719,276,\N,\N,\N,"airport","OurAirports" 11985,"Tashkent East Airport","Tashkent","Uzbekistan",\N,"UTTP",41.31269836425781,69.39140319824219,1574,\N,\N,\N,"airport","OurAirports" 11986,"Myachkovo Airport","Moscow","Russia",\N,"UUBM",55.5600013733,37.9850006104,410,\N,\N,\N,"airport","OurAirports" 11987,"Tretyakovo Airport","Lukhovitsy","Russia",\N,"UUMT",54.904998779299994,39.02666854859999,515,\N,\N,\N,"airport","OurAirports" 11988,"Yermolino Airport","Balabanovo","Russia",\N,"UUWE",55.2283325195,36.6083335876,640,\N,\N,\N,"airport","OurAirports" 11989,"Inta Airport","Inta","Russia","INA","UUYI",66.0548324584961,60.110321044921875,184,\N,\N,\N,"airport","OurAirports" 11990,"Izhma Airport","Izhma","Russia",\N,"UUYV",65.03170013427734,53.970001220703125,230,\N,\N,\N,"airport","OurAirports" 11991,"Borisoglebskoye Airport","Kazan","Russia",\N,"UWKG",55.86669921875,49.13330078125,213,\N,\N,\N,"airport","OurAirports" 11992,"Zhigansk Airport","Zhigansk","Russia","ZIX","UWKV",66.7965011597,123.361000061,292,\N,\N,\N,"airport","OurAirports" 11993,"Maksimovka Airport","Ufa","Russia",\N,"UWUM",54.83000183105469,56.16830062866211,325,\N,\N,\N,"airport","OurAirports" 11994,"Buguruslan Severny Airport","Buguruslan","Russia",\N,"UWWB",53.71839904789999,52.3718986511,728,\N,\N,\N,"airport","OurAirports" 11995,"Bezymyanka Airfield","Samara","Russia",\N,"UWWG",53.220001220703125,50.32500076293945,135,\N,\N,\N,"airport","OurAirports" 11996,"Ratnagiri Airport","","India","RTC","VARG",17.013599,73.327797,305,\N,\N,\N,"airport","OurAirports" 11997,"Hingurakgoda Air Force Base","Polonnaruwa Town","Sri Lanka","HIM","VCCH",8.04981,80.9814,170,\N,\N,\N,"airport","OurAirports" 11998,"Kazi Nazrul Islam Airport","Durgapur","India","RDP","VEDG",23.6225,87.243,300,\N,\N,\N,"airport","OurAirports" 11999,"Ambala Air Force Station","","India",\N,"VIAM",30.368099212646484,76.81670379638672,909,\N,\N,\N,"airport","OurAirports" 12000,"Sirsa Air Force Station","","India",\N,"VISA",29.56060028076172,75.006103515625,650,\N,\N,\N,"airport","OurAirports" 12001,"Udhampur Air Force Station","","India",\N,"VIUX",32.902198791503906,75.15619659423828,2066,\N,\N,\N,"airport","OurAirports" 12002,"Sri Sathya Sai Airport","Puttaparthi","India","PUT","VOPN",14.1492996216,77.7910995483,1558,\N,\N,\N,"airport","OurAirports" 12003,"Meiktila Air Base","Meiktila","Burma",\N,"VYML",20.88640022277832,95.89279174804688,699,\N,\N,\N,"airport","OurAirports" 12004,"Changi Air Base (East)","Singapore","Singapore",\N,"WSAC",1.3441400528,104.009002686,22,\N,\N,\N,"airport","OurAirports" 12005,"Soltsy-2 Air Base","Soltsy","Russia",\N,"XLLL",58.139545,30.33042,266,\N,\N,\N,"airport","OurAirports" 12006,"Severomorsk-3 Naval Air Base","Severomorsk","Russia",\N,"XLMV",68.866669,33.716667,564,\N,\N,\N,"airport","OurAirports" 12007,"Fedotovo Naval Air Base","Kipelovo","Russia",\N,"XLWF",59.193031,39.129411,574,\N,\N,\N,"airport","OurAirports" 12008,"Lebyazhye Air Base","Kamyshin","Russia",\N,"XRWL",50.201698303200004,45.2083015442,381,\N,\N,\N,"airport","OurAirports" 12009,"Smolensk North Airport","Smolensk","Russia","LNX","XUBS",54.824,32.025,820,\N,\N,\N,"airport","OurAirports" 12010,"Rtishchevo Air Base","Rtishchevo","Russia",\N,"XWPR",52.297317,43.7241,673,\N,\N,\N,"airport","OurAirports" 12011,"Alpha Airport","Alpha","Australia","ABH","YAPH",-23.646099,146.584,1255,\N,\N,\N,"airport","OurAirports" 12012,"Ararat Airport","","Australia","ARY","YARA",-37.30939865112305,142.98899841308594,1008,\N,\N,\N,"airport","OurAirports" 12013,"Benalla Airport","","Australia","BLN","YBLA",-36.55189895629883,146.0070037841797,569,\N,\N,\N,"airport","OurAirports" 12014,"Balranald Airport","","Australia","BZD","YBRN",-34.623600006103516,143.5780029296875,210,\N,\N,\N,"airport","OurAirports" 12015,"Brewarrina Airport","","Australia","BWQ","YBRW",-29.973899841308594,146.81700134277344,414,\N,\N,\N,"airport","OurAirports" 12016,"Cleve Airport","","Australia","CVC","YCEE",-33.70970153808594,136.5050048828125,589,\N,\N,\N,"airport","OurAirports" 12017,"Corowa Airport","","Australia","CWW","YCOR",-35.99470138549805,146.35699462890625,469,\N,\N,\N,"airport","OurAirports" 12018,"Corryong Airport","","Australia","CYG","YCRG",-36.18280029296875,147.88800048828125,963,\N,\N,\N,"airport","OurAirports" 12019,"Cootamundra Airport","","Australia","CMD","YCTM",-34.6239013671875,148.0279998779297,1110,\N,\N,\N,"airport","OurAirports" 12020,"Dirranbandi Airport","","Australia","DRN","YDBI",-28.591699600219727,148.2169952392578,567,\N,\N,\N,"airport","OurAirports" 12021,"Deniliquin Airport","Deniliquin","Australia","DNQ","YDLQ",-35.5593986511,144.945999146,316,\N,\N,\N,"airport","OurAirports" 12022,"Dysart Airport","","Australia","DYA","YDYS",-22.62220001220703,148.36399841308594,670,\N,\N,\N,"airport","OurAirports" 12023,"Echuca Airport","","Australia","ECH","YECH",-36.15719985961914,144.76199340820312,323,\N,\N,\N,"airport","OurAirports" 12024,"Forbes Airport","Forbes","Australia","FRB","YFBS",-33.363602,147.934998,760,\N,\N,\N,"airport","OurAirports" 12025,"Gunnedah Airport","","Australia","GUH","YGDH",-30.96109962463379,150.25100708007812,863,\N,\N,\N,"airport","OurAirports" 12026,"Hay Airport","","Australia","HXX","YHAY",-34.53139877319336,144.8300018310547,305,\N,\N,\N,"airport","OurAirports" 12027,"Hopetoun Airport","","Australia","HTU","YHPN",-35.715301513671875,142.36000061035156,256,\N,\N,\N,"airport","OurAirports" 12028,"Kerang Airport","","Australia","KRA","YKER",-35.751399993896484,143.93899536132812,254,\N,\N,\N,"airport","OurAirports" 12029,"Kempsey Airport","","Australia","KPS","YKMP",-31.074399948120117,152.77000427246094,54,\N,\N,\N,"airport","OurAirports" 12030,"Kingaroy Airport","","Australia","KGY","YKRY",-26.580799102783203,151.84100341796875,1492,\N,\N,\N,"airport","OurAirports" 12031,"Latrobe Valley Airport","Morwell","Australia","TGN","YLTV",-38.207199,146.470001,180,\N,\N,\N,"airport","OurAirports" 12032,"Mareeba Airport","","Australia","MRG","YMBA",-17.06920051574707,145.41900634765625,1560,\N,\N,\N,"airport","OurAirports" 12033,"Ngukurr Airport","","Australia","RPM","YNGU",-14.722800254821777,134.7469940185547,45,\N,\N,\N,"airport","OurAirports" 12034,"Narromine Airport","","Australia","QRM","YNRM",-32.214698791503906,148.22500610351562,782,\N,\N,\N,"airport","OurAirports" 12035,"Port Pirie Airport","","Australia","PPI","YPIR",-33.23889923095703,137.9949951171875,40,\N,\N,\N,"airport","OurAirports" 12036,"Smithton Airport","","Australia","SIO","YSMI",-40.834999084472656,145.08399963378906,31,\N,\N,\N,"airport","OurAirports" 12037,"Snake Bay Airport","","Australia","SNB","YSNB",-11.422800064086914,130.6540069580078,173,\N,\N,\N,"airport","OurAirports" 12038,"Stawell Airport","","Australia","SWC","YSWL",-37.07170104980469,142.74099731445312,807,\N,\N,\N,"airport","OurAirports" 12039,"Tibooburra Airport","","Australia","TYB","YTIB",-29.451099395751953,142.05799865722656,584,\N,\N,\N,"airport","OurAirports" 12040,"Tumut Airport","","Australia","TUM","YTMU",-35.26279830932617,148.24099731445312,878,\N,\N,\N,"airport","OurAirports" 12041,"Wangaratta Airport","","Australia","WGT","YWGT",-36.41579818725586,146.3070068359375,504,\N,\N,\N,"airport","OurAirports" 12042,"Warracknabeal Airport","","Australia","WKB","YWKB",-36.32109832763672,142.41900634765625,397,\N,\N,\N,"airport","OurAirports" 12043,"Warren Airport","","Australia","QRR","YWRN",-31.733299255371094,147.80299377441406,669,\N,\N,\N,"airport","OurAirports" 12044,"West Sale Airport","Sale","Australia","SXE","YWSL",-38.090827,146.965335,72,\N,\N,\N,"airport","OurAirports" 12045,"West Wyalong Airport","West Wyalong","Australia","WWY","YWWL",-33.9371986389,147.190994263,859,\N,\N,\N,"airport","OurAirports" 12046,"Young Airport","","Australia","NGA","YYNG",-34.25559997558594,148.2480010986328,1267,\N,\N,\N,"airport","OurAirports" 12047,"Guangzhou MR Air Base","Guanghua","China","LHK","ZHGH",32.389400482177734,111.69499969482422,0,\N,\N,\N,"airport","OurAirports" 12048,"Shiyan Wudangshan Airport","Shiyan","China","WDS","ZHSY",32.591667,110.907778,0,\N,\N,\N,"airport","OurAirports" 12049,"Sunchon Air Base","Sunchon","North Korea",\N,"ZKSC",39.415699,125.894997,141,\N,\N,\N,"airport","OurAirports" 12050,"Huatugou Airport","Mengnai","China","HTT","ZLHX",38.201984,90.841495,2945,\N,\N,\N,"airport","OurAirports" 12051,"Baruun Urt Airport","","Mongolia","UUN","ZMBU",46.660301208496094,113.28500366210938,3205,\N,\N,\N,"airport","OurAirports" 12052,"Bengbu Airport","Bengbu","China","BFU","ZSBB",32.8477333333,117.320244444,100,\N,\N,\N,"airport","OurAirports" 12053,"Rugao Air Base","Rugao","China","RUG","ZSRG",32.25788497924805,120.50165557861328,0,\N,\N,\N,"airport","OurAirports" 12054,"Wuhu Air Base","Wuhu","China","WHU","ZSWU",31.3906,118.408997,0,\N,\N,\N,"airport","OurAirports" 12055,"Shanshan Airport","Shanshan","China","SXJ","ZWSS",42.91170120239258,90.24749755859375,0,\N,\N,\N,"airport","OurAirports" 12056,"Yingkou Lanqi Airport","Yingkou","China","YKH","ZYYK",40.542524,122.3586,0,\N,\N,\N,"airport","OurAirports" 12057,"Shenyang Dongta Airport","Shenyang","China",\N,"ZYYY",41.784400939941406,123.49600219726562,0,\N,\N,\N,"airport","OurAirports" 12058,"Bogorodskoye Airport","Bogorodskoe","Russia","BQG","UHNB",52.38,140.448,0,11,"U",\N,"airport","OurAirports" 12059,"Itapiranga Airport","Itapiranga","Brazil",\N,"SSYT",-27.142499923706055,-53.68579864501953,1247,-3,"S",\N,"airport","OurAirports" 12069,"Aguas Calientes Airport","Aguas Calientes","Peru",\N,"SPAT",-8.833330154418945,-74.68329620361328,9840,-6,"U",\N,"airport","OurAirports" 12087,"Rajiv Gandhi International Airport","Hyderabad","India","HYD","VOHS",17.2313175201,78.4298553467,2024,5.5,"N",\N,"airport","OurAirports" 12090,"Vancouver International Seaplane Base","Vancouver","Canada",\N,"CAM9",49.177047,-123.168154,0,-8,"A",\N,"airport","OurAirports" 12096,"Bressaucourt Airport","Bressaucourt-Porrentruy","Switzerland",\N,"LSZQ",47.392677,7.028648,1866,1,"E",\N,"airport","OurAirports" 12104,"Parakou Airport","Parakou","Benin","PKO","DBBP",9.35768985748291,2.609679937362671,1266,1,"U",\N,"airport","OurAirports" 12106,"Kandi Airport","Kandi","Benin","KDC","DBBK",11.14479,2.940381,951,1,"U",\N,"airport","OurAirports" 12109,"Sokodé Airport","Sokode","Togo",\N,"DXSK",8.994275,1.153004,1214,0,"U",\N,"airport","OurAirports" 12110,"Sansanné-Mango Airport","Mango","Togo",\N,"DXMG",10.373010635375977,0.47138214111328125,460,0,"U",\N,"airport","OurAirports" 12133,"Arnbruck Airport","Arnbruck","Germany",\N,"EDNB",49.12472152709961,12.985555648803711,1716,1,"U",\N,"airport","OurAirports" 12163,"Jacarepaguá - Roberto Marinho Airport","Rio de Janeiro","Brazil",\N,"SBJR",-22.987499,-43.369999,10,-3,"S",\N,"airport","OurAirports" 12165,"Hacaritama Airport","Aguachica","Colombia",\N,"SKAG",8.247,-73.5814,545,-5,"N",\N,"airport","OurAirports" 12172,"Hermannsburg Airport","Hermannsburg","Australia","HMG","YHMB",-23.93000030517578,132.80499267578125,593,9.5,"N",\N,"airport","OurAirports" 12182,"Mount Davies Airport","Pipalyatjara","Australia",\N,"YMDV",-26.16670036315918,129.13299560546875,0,9.5,"O",\N,"airport","OurAirports" 12183,"Areyonga Airport","Areyonga","Australia",\N,"YARN",-24.066699981689453,132.26699829101562,0,9.5,"N",\N,"airport","OurAirports" 12185,"Tracy Municipal Airport","Tracy","United States",\N,"KTCY",37.68899917602539,-121.44200134277344,193,-8,"A",\N,"airport","OurAirports" 12217,"Mount Allan Airport","Yuelamu","Australia",\N,"YMNA",-22.274999618530273,132.2169952392578,0,9.5,"N",\N,"airport","OurAirports" 12218,"Everard Park Airport","Mimili","Australia",\N,"YEVP",-27.016700744628906,132.7169952392578,0,9.5,"O",\N,"airport","OurAirports" 12219,"Warrabri Airport","Ali-Curung","Australia",\N,"YWBI",-21,134.39700317382812,383,9.5,"N",\N,"airport","OurAirports" 12310,"Krefeld-Egelsberg Airport","Krefeld","Germany",\N,"EDLK",51.3849983215332,6.587778091430664,141,1,"U",\N,"airport","OurAirports" 12311,"Baidoa Airport","Baidoa","Somalia","BIB","HCMB",3.102220058441162,43.62860107421875,1820,3,"U",\N,"airport","OurAirports" 12340,"Ampilatwatja Airport","Ampilatwatja","Australia",\N,"YAMJ",-21.655000686645508,135.22999572753906,0,9.5,"N",\N,"airport","OurAirports" 12360,"Kings Creek Airport","Petermann","Australia","KCS","YKCS",-24.42329978942871,131.8350067138672,615,9.5,"N",\N,"airport","OurAirports" 12361,"Harts Range Airport","Harts Range","Australia",\N,"YHTS",-22.985000610351562,134.91799926757812,0,9.5,"N",\N,"airport","OurAirports" 12391,"Elliott Airport","Elliott","Australia",\N,"YELL",-17.527429580688477,133.52989196777344,0,9.5,"N",\N,"airport","OurAirports" 12392,"Papunya Airport","Papunya","Australia",\N,"YPAY",-23.246700286865234,131.9029998779297,620,9.5,"N",\N,"airport","OurAirports" 12444,"Fregon Airport","Fregon","Australia",\N,"YFRG",-26.774999618530273,132.01699829101562,528,9.5,"O",\N,"airport","OurAirports" 12445,"Mount Liebig Airport","Mt Liebig","Australia",\N,"YLBG",-23.24329948425293,131.25999450683594,0,9.5,"N",\N,"airport","OurAirports" 12469,"Bolton Field","Columbus","United States",\N,"KTZR",39.90119934082031,-83.13690185546875,905,4,"A",\N,"airport","OurAirports" 12470,"Baltrum Airport","Baltrum","Germany","BMR","EDWZ",53.72472381591797,7.373332977294922,7,1,"E",\N,"airport","OurAirports" 12528,"Skagit Regional Airport","Skagit","United States","MVW","KBVS",48.4709014893,-122.42099762,144,-8,"A",\N,"airport","OurAirports" 12618,"Goondiwindi Airport","Goondiwindi","Australia","GOO","YGDI",-28.521400451660156,150.32000732421875,714,10,"O",\N,"airport","OurAirports" 12619,"Liman Airfield","Odesa","Ukraine",\N,"UKOE",46.57851,30.703053,0,2,"E",\N,"airport","OurAirports" 12640,"Lognes Emerainville Airport","Lognes","France",\N,"LFPL",48.821028,2.625967,359,1,"E",\N,"airport","OurAirports" 12672,"Marion County Brown Field","Jasper","United States","APT","KAPT",35.060699,-85.585297,641,-5,"A",\N,"airport","OurAirports" 12673,"Evergreen Regional Airport/Middleton Field","Evergreen","United States",\N,"KGZH",31.4158,-87.043999,259,-6,"A",\N,"airport","OurAirports" 12675,"Pryor Field Regional Airport","Decatur","United States","DCU","KDCU",34.652698516799994,-86.94539642330001,592,-6,"A",\N,"airport","OurAirports" 12676,"Glasgow Municipal Airport","Glasgow","United States","GLW","KGLW",37.03179932,-85.9536972,716,-6,"A",\N,"airport","OurAirports" 12796,"Danielson Airport","Danielson","United States",\N,"KLZD",41.819698333740234,-71.9010009765625,238,-5,"A",\N,"airport","OurAirports" 12844,"Docker River Airport","Docker River","Australia","DKV","YDVR",-24.860000610351562,129.07000732421875,589,9.5,"N",\N,"airport","OurAirports" 12856,"Clearfield Lawrence Airport","Clearfield","United States",\N,"KFIG",41.04859924316406,-78.41310119628906,1516,-5,"A",\N,"airport","OurAirports" 12873,"Jasper County Airport","Rensselaer","United States","RNZ","KRZL",40.9478988647,-87.1826019287,698,-5,"A",\N,"airport","OurAirports" 12918,"Ti Tree Airport","Ti Tree","Australia",\N,"YTIT",-22.13170051574707,133.4199981689453,0,9.5,"N",\N,"airport","OurAirports" 12919,"Sabetta International Airport","Sabetta","Russia","SBT","USDA",71.219167,72.052222,46,5,"N",\N,"airport","OurAirports" 12921,"Alxa Left Banner Bayanhot Airport","Alxa Left Banner","China","AXF","ZBAL",38.74831,105.58858,4560,8,"N",\N,"airport","OurAirports" 12931,"El Fuentero Airport","Svenborg","Denmark",\N,"SVFT",7.099999904632568,-69.58333587646484,420,1,"E",\N,"airport","OurAirports" 12941,"Sturgate Airfield","Eger","Hungary",\N,"EGCS",53.381099700927734,-0.6852779984474182,58,1,"E",\N,"airport","OurAirports" 12945,"Simberi Airport","Simberi Island","Papua New Guinea","NIS","AYSE",-2.66222222222,151.997777778,10,10,"N",\N,"airport","OurAirports" 12946,"Bulolo Airport","Bulolo","Papua New Guinea","BUL","AYBU",-7.216286671410001,146.649541855,2240,10,"N",\N,"airport","OurAirports" 12948,"Kintore Airport","Kintore","Australia",\N,"YKNT",-23.264999389648438,129.38699340820312,0,9.5,"N",\N,"airport","OurAirports" 12950,"Statesboro Bulloch County Airport","Statesboro","United States","TBR","KTBR",32.4827003479,-81.73690032959999,187,-5,"A",\N,"airport","OurAirports" 12951,"Utopia Airport","Utopia","Australia",\N,"YUTP",-22.05500030517578,134.7899932861328,0,9.5,"N",\N,"airport","OurAirports" 12957,"Nyrripi Airport","Nyirripi","Australia",\N,"YNRR",-22.645299911499023,130.56500244140625,0,9.5,"N",\N,"airport","OurAirports" 12958,"Amata Airport","Amata","Australia","AMT","YAMT",-26.108299255371094,131.20700073242188,695,9.5,"O",\N,"airport","OurAirports" 12961,"Glacier Country Heliport","Franz Josef","New Zealand",\N,"NZGH",-43.38722,170.18,457,13,"Z",\N,"airport","OurAirports" 12979,"Erldunda Airport","Erldunda","Australia","EDD","YERL",-25.205799102800004,133.253997803,0,9.5,"N",\N,"airport","OurAirports" 12980,"Helisul I Heliport","Foz do Iguassu","Brazil",\N,"SSHH",-25.604167938232422,-54.49361038208008,732,-3,"S",\N,"airport","OurAirports" 12984,"Finke Airport","Finke","Australia","FIK","YFNE",-25.5946998596,134.582992554,0,9.5,"N",\N,"airport","OurAirports" 12987,"Humberto Ghizzo Bortoluzzi Regional Airport","Jaguaruna","Brazil","JJG","SBJA",-28.6753,-49.0596,120,-3,"S",\N,"airport","OurAirports" 13004,"Nypari Airport","Angatja Homeland","Australia",\N,"YNYP",-26.200000762939453,130.23300170898438,0,9.5,"O",\N,"airport","OurAirports" 13006,"Ihtiman Airfield","Ihtiman","Bulgaria",\N,"LBHT",42.42189,23.767221,2113,2,"E",\N,"airport","OurAirports" 13009,"Vogtareuth Airport","Vogtareuth","Germany",\N,"EDNV",47.946109771728516,12.20472240447998,1535,1,"E",\N,"airport","OurAirports" 13011,"[Duplicate] Illertissen see EDMI - ED-0425 location moved out-of-the way","Not Specified","New Zealand",\N,"XXXX",89.5,0.0001,0,0,"U",\N,"airport","OurAirports" 13016,"New Smyrna Beach Municipal Airport","New Smyrna Beach","United States",\N,"KEVB",29.055700302124023,-80.94889831542969,10,-5,"A",\N,"airport","OurAirports" 13018,"Las Vegas Helicopters Heliport","Las vegas","United States",\N,"NV03",36.10810089111328,-115.17400360107422,2133,-8,"A",\N,"airport","OurAirports" 13019,"Delta Camp Airport","Delta Camp","Botswana",\N,"FBDT",-19.5323,23.0925,3140,2,"N",\N,"airport","OurAirports" 13020,"Hwange (Town) Airport","Hwange","Zimbabwe","WKI","FVWT",-18.362967,26.519791,2500,2,"N",\N,"airport","OurAirports" 13022,"Harbour (Public) Heliport","Vancouver","Canada",\N,"CBC7",49.2868921105,-123.106112257,2,-8,"A",\N,"airport","OurAirports" 13023,"Victoria Harbour (Camel Point) Heliport","Victoria","Canada",\N,"CBF7",48.41809844970703,-123.38800048828125,15,-8,"A",\N,"airport","OurAirports" 13032,"Shushenskoye Airport","Shushenskoye","Russia",\N,"UNAU",53.3849983215332,92.04499816894531,0,8,"E",\N,"airport","OurAirports" 13066,"Stockerau Airport","Stockerau","Austria",\N,"LOAU",48.40999984741211,16.191699981689453,686,1,"E",\N,"airport","OurAirports" 13069,"Klaipėda Airport","Klaipeda","Lithuania","KLJ","EYKL",55.7118988037,21.242799758900002,59,2,"E",\N,"airport","OurAirports" 13072,"Iowa County Airport","MINERAL POINT","United States",\N,"KMRJ",42.886799,-90.236198,1171,-5,"A",\N,"airport","OurAirports" 13074,"West Bend Municipal Airport","WEST BEND","United States","ETB","KETB",43.4221992493,-88.1278991699,887,-5,"A",\N,"airport","OurAirports" 13075,"Gaylord Regional Airport","GAYLORD","United States","GLR","KGLR",45.013500213600004,-84.7035980225,1328,-4,"A",\N,"airport","OurAirports" 13077,"Anderson Municipal Darlington Field","ANDERSON","United States","AID","KAID",40.10860061649999,-85.6129989624,919,-4,"A",\N,"airport","OurAirports" 13078,"Cenej Airport","Novi Sad","Serbia","QND","LYNS",45.385799,19.839199,266,1,"E",\N,"airport","OurAirports" 13079,"Grundarfjörður Airport","Grundarfjordur","Iceland","GUU","BIGF",64.99140167236328,-23.224700927734375,17,0,"U",\N,"airport","OurAirports" 13080,"Prairie Du Chien Municipal Airport","Prairie du Chien","United States","PCD","KPDC",43.019298553467,-91.12370300293,661,-6,"A",\N,"airport","OurAirports" 13097,"Cascade Heliport","Kobok","Indonesia",\N,"WA98",47.512346,-120.488691,860,9,"U",\N,"airport","OurAirports" 13098,"Air Orlando Heliport","Orlando","United States",\N,"2FD7",28.43560028076172,-81.47309875488281,120,-5,"A",\N,"airport","OurAirports" 13106,"Tórshavn/Bodanes Heliport","Torshavn","Faroe Islands",\N,"EKTB",62.02170181274414,-6.757420063018799,68,0,"E",\N,"airport","OurAirports" 13112,"Otjiwarongo Airport","Otjiwarongo","Namibia","OTJ","FYOW",-20.434700012207,16.660800933838,4859,2,"U",\N,"airport","OurAirports" 13114,"RAF Mona","Mona","United Kingdom",\N,"EGOQ",53.258598,-4.37355,202,0,"E",\N,"airport","OurAirports" 13120,"Rerik-Zweedorf Airport","Rerik","Germany",\N,"EDCR",54.08194351196289,11.64916706085205,30,1,"E",\N,"airport","OurAirports" 13121,"Fazenda Vaticano Airport","Cruz","Brazil",\N,"SSVV",-21.294443,-56.11861,1050,-3,"U",\N,"airport","OurAirports" 13123,"Stanly County Airport","Albemarle","United States",\N,"KVUJ",35.416698455811,-80.150802612305,609,-4,"A",\N,"airport","OurAirports" 13124,"Davidson County Airport","Lexington","United States",\N,"KEXX",35.78110122680664,-80.30380249023438,733,-4,"A",\N,"airport","OurAirports" 13126,"Windwood Fly-In Resort Airport","Davis","United States",\N,"WV62",39.055099487300005,-79.43139648440001,3210,-4,"A",\N,"airport","OurAirports" 13127,"Lathan Strip","Mocksville","United States",\N,"5NC2",34.87630081176758,-80.61920166015625,575,-4,"A",\N,"airport","OurAirports" 13130,"Double Eagle II Airport","Albuquerque","United States",\N,"KAEG",35.145198822021484,-106.79499816894531,5837,-6,"A",\N,"airport","OurAirports" 13131,"Socorro Municipal Airport","Socorro","United States",\N,"KONM",34.022499084472656,-106.90299987792969,4875,-6,"A",\N,"airport","OurAirports" 13135,"Bentonville Municipal-Louise M Thaden Field","Bentonville","United States",\N,"KVBT",36.34569931,-94.21929932,1296,-5,"A",\N,"airport","OurAirports" 13137,"Blue Ridge Airport","Martinsville","United States",\N,"KMTV",36.630699157714844,-80.01830291748047,941,-4,"A",\N,"airport","OurAirports" 13138,"Mount Airy Surry County Airport","Mount Airy","United States",\N,"KMWK",36.45970154,-80.5530014,1249,-4,"A",\N,"airport","OurAirports" 13139,"Taos Regional Airport","Taos","United States","TSM","KSKX",36.45819855,-105.6719971,7095,-6,"A",\N,"airport","OurAirports" 13142,"Raton Municipal-Crews Field","Raton","United States","RTN","KRTN",36.74150085,-104.5019989,6352,-6,"A",\N,"airport","OurAirports" 13144,"Rusk County Airport","Ladysmith","United States",\N,"KRCX",45.49679946899414,-91.00050354003906,1238,-5,"A",\N,"airport","OurAirports" 13154,"Perry Lefors Field","Pampa","United States","PPA","KPPA",35.612998962402,-100.99600219727,3245,-5,"A",\N,"airport","OurAirports" 13155,"William R. Pogue Municipal Airport","Sand Springs","United States",\N,"KOWP",36.1753006,-96.15180206,892,-5,"A",\N,"airport","OurAirports" 13156,"Marion County Regional Airport","Flippin","United States","FLP","KFLP",36.29090118,-92.59030151,719,-5,"A",\N,"airport","OurAirports" 13158,"Hutchinson County Airport","Borger","United States","BGD","KBGD",35.700901031499995,-101.393997192,3055,-5,"A",\N,"airport","OurAirports" 13176,"Budaörs Airfield","Budaoers","Hungary",\N,"LHBS",47.451099,18.9806,397,1,"E",\N,"airport","OurAirports" 13177,"Jakabszállás Airport","Jakabszallas","Hungary",\N,"LHJK",46.74720001220703,19.605600357055664,348,1,"E",\N,"airport","OurAirports" 13180,"St. Helena Airport","Longwood","United Kingdom","HLE","FHSH",-15.957725,-5.645943,1017,0,"U",\N,"airport","OurAirports" 13183,"Bonn-Hangelar Airport","Sankt-Augustin","Germany","BNJ","EDKB",50.7688903809,7.16333293915,197,1,"E",\N,"airport","OurAirports" 13188,"Nogliki Airport","Nogliki","Russia","NGK","UHSN",51.780102,143.139008,109,11,"N",\N,"airport","OurAirports" 13189,"Santa Ynez Airport","Santa Ynez","United States","SQA","KIZA",34.60680008,-120.0759964,674,-8,"A",\N,"airport","OurAirports" 13192,"Delingha Airport","Haixi","China","HXD","ZLDL",37.125286,97.268658,9843,8,"N",\N,"airport","OurAirports" 13193,"Qionghai Bo'ao Airport","Qionghai","China","BAR","ZJQH",19.13824,110.454775,30,8,"N",\N,"airport","OurAirports" 13199,"Northeim Airport","Northeim","Germany",\N,"EDVN",51.706390380859375,10.039722442626953,404,1,"E",\N,"airport","OurAirports" 13209,"Reggio Emilia Airport","Reggio Emilia","Italy",\N,"LIDE",44.698299,10.6628,152,1,"E",\N,"airport","OurAirports" 13210,"Bowen Airport","Bowen","Australia","ZBO","YBWN",-20.018299102783203,148.21499633789062,8,10,"N",\N,"airport","OurAirports" 13211,"Ulanqab Jining Airport","Wulanchabu","China","UCB","ZBUC",41.129722,113.108056,0,8,"N",\N,"airport","OurAirports" 13212,"Odienne Airport","Odienne","Cote d'Ivoire","KEO","DIOD",9.5,-7.566999912261963,1365,0,"U",\N,"airport","OurAirports" 13214,"Siguiri Airport","Siguiri","Guinea","GII","GUSI",11.432999610901,-9.1669998168945,1296,0,"N",\N,"airport","OurAirports" 13215,"Nzérékoré Airport","Nzerekore","Guinea","NZE","GUNZ",7.8060193061829,-8.7017974853516,1657,0,"N",\N,"airport","OurAirports" 13227,"Boolgeeda","Brockman","Australia","OCM","YBGD",-22.54,117.275,1871,8,"O",\N,"airport","OurAirports" 13229,"Shaoyang Wugang Airport","Shaoyang","China","WGN","ZGSY",26.802,110.642,1444,8,"N",\N,"airport","OurAirports" 13230,"9 de Maio - Teixeira de Freitas Airport","Teixeira de Freitas","Brazil","TXF","SNTF",-17.524499893188,-39.66849899292,344,-3,"S",\N,"airport","OurAirports" 13233,"Spartanburg Downtown Memorial Airport","Spartangurg","United States","SPA","KSPA",34.915699005127,-81.956497192383,801,-5,"A",\N,"airport","OurAirports" 13243,"Bajawa Soa Airport","Bajawa","Indonesia","BJW","WATB",-8.70743498008,121.057426929,4326,8,"U",\N,"airport","OurAirports" 13248,"Torgau-Beilrode Airport","Gransee","Germany",\N,"EDOG",51.570907,13.051641,0,1,"E",\N,"airport","OurAirports" 13249,"Annobón Airport","San Antonio de Pale","Equatorial Guinea","NBN","FGAB",-1.410277,5.621944,82,1,"N",\N,"airport","OurAirports" 13257,"Renk Airport","Huangshan","China",\N,"HSRN",11.8324692723,32.810497283900006,1278,8,"N",\N,"airport","OurAirports" 13260,"Oyo Ollombo Airport","Oyo","Congo (Brazzaville)","OLL","FCOD",-1.226666,15.91,1073,1,"N",\N,"airport","OurAirports" 13263,"Port Hardy Seaplane Base","Port Hardy","Canada",\N,"CAW5",50.71670150756836,-127.48300170898438,0,-8,"A",\N,"airport","OurAirports" 13265,"Tri-City Airport","Parsons","United States","PPF","KPPF",37.32989883,-95.5062027,900,-6,"A",\N,"airport","OurAirports" 13266,"Boun Neau Airport","Phongsaly","Laos","PCQ","VLFL",21.6475,101.9,3050,7,"N",\N,"airport","OurAirports" 13267,"Waycross Ware County Airport","Waycross","United States","AYS","KAYS",31.2490997314,-82.39550018310001,142,-5,"A",\N,"airport","OurAirports" 13268,"Blaise Diagne International Airport","Diass","Senegal","DSS","GOBD",14.67,-17.073333,290,0,"N",\N,"airport","OurAirports" 13269,"Mid-State Regional Airport","Philipsburg","United States",\N,"KPSB",40.884399414062,-78.087303161621,1948,-5,"A",\N,"airport","OurAirports" 13271,"Greater Portsmouth Regional Airport","Portsmouth","United States","PMH","KPMH",38.8404998779,-82.84729766850002,663,-5,"A",\N,"airport","OurAirports" 13306,"Coonawarra Airport","Coonawarra","Australia",\N,"YCNQ",-37.28329849243164,140.8000030517578,0,9.5,"O",\N,"airport","OurAirports" 13307,"Naracoorte Airport","Naracoorte","Australia","NAC","YNRC",-36.98529815673828,140.72500610351562,169,9.5,"O",\N,"airport","OurAirports" 13309,"Camilla Mitchell County Airport","Camilla","United States",\N,"KCXU",31.212900161743164,-84.23680114746094,175,-5,"U",\N,"airport","OurAirports" 13311,"Clarenville Airport","Clarenville","Canada",\N,"CCZ3",48.27470016479492,-53.92390060424805,199,-3.5,"A",\N,"airport","OurAirports" 13315,"Ponta Grossa Airport - Comandante Antonio Amilton Beraldo","Ponta Grossa","Brazil","PGZ","SSZW",-25.1847,-50.1441,2588,-3,"S",\N,"airport","OurAirports" 13334,"Palenque International Airport","Palenque","Mexico","PQM","MMPQ",17.533153,-92.015484,200,-5,"U",\N,"airport","OurAirports" 13335,"Caloundra Airport","Caloundra","Australia","CUD","YCDR",-26.799999237060547,153.10000610351562,12,10,"N",\N,"airport","OurAirports" 13336,"Clarks Point Airport","Clarks Point","United States","CLP","PFCL",58.83369827,-158.529007,80,-9,"A",\N,"airport","OurAirports" 13339,"Ospika Airport","Williston Lake","Canada",\N,"CBA9",56.275001525878906,-124.052001953125,2300,-8,"A",\N,"airport","OurAirports" 13341,"Charlottetown Airport","Charlottetown","Canada",\N,"CCH4",52.76499938964844,-56.1156005859375,209,-3.5,"A",\N,"airport","OurAirports" 13342,"Doris Lake","Doris Lake","Canada","JOJ","CDL7",68.1252746582,-106.585281372,50,-7,"A",\N,"airport","OurAirports" 13344,"Costa Esmeralda Airport","Tola","Nicaragua","ECI","MNCE",11.427542,-86.033361,84,-6,"N",\N,"airport","OurAirports" 13346,"Monte Cristi Airport","Montecristi","Dominican Republic",\N,"MDMC",19.865299224900003,-71.6453018188,121,-4,"N",\N,"airport","OurAirports" 13347,"El Papalon Airport","San Miguel","El Salvador",\N,"MSSM",13.444100379943848,-88.12699890136719,283,-6,"N",\N,"airport","OurAirports" 13354,"Sandpoint Airport","Sandpoint","United States",\N,"KSZT",48.299499511719,-116.55999755859,2131,-8,"A",\N,"airport","OurAirports" 13355,"Attu Heliport","Attu","Greenland","QGQ","BGAT",67.9406628551,-53.6218696833,32,-3,"N",\N,"airport","OurAirports" 13356,"Kangaatsiaq Heliport","Kangaatsiaq","Greenland","QPW","BGKA",68.3126574861,-53.4602075815,17,-3,"N",\N,"airport","OurAirports" 13357,"Kitsissuarsuit Heliport","Kitsissuarsuit","Greenland","QJE","BGKT",68.85792599759999,-53.123295307199996,18,-3,"N",\N,"airport","OurAirports" 13358,"Niaqornaarsuk Heliport","Niaqornaarsuk","Greenland",\N,"BGNK",68.236381,-52.852148,152,-3,"N",\N,"airport","OurAirports" 13359,"Ilimanaq Heliport","Ilimanaq","Greenland","XIQ","BGIL",69.0809150007,-51.1143153906,52,-3,"N",\N,"airport","OurAirports" 13360,"Qeqertaq Heliport","Qeqertaq","Greenland","QQT","BGQE",69.9958611087,-51.3009166718,69,-3,"N",\N,"airport","OurAirports" 13361,"Saqqaq Heliport","Saqqaq","Greenland",\N,"BGSQ",70.011448,-51.932142,38,-3,"N",\N,"airport","OurAirports" 13363,"Savissivik Heliport","Savissivik","Greenland",\N,"BGSV",76.01861346460001,-65.1176834106,24,-4,"N",\N,"airport","OurAirports" 13364,"Siorapaluk Heliport","Siorapaluk","Greenland",\N,"BGSI",77.7865173475,-70.6386566162,102,-4,"N",\N,"airport","OurAirports" 13365,"Aappilattoq (Qaasuitsup) Heliport","Aappilattoq","Greenland",\N,"BGAG",72.8870298223,-55.5962866545,42,-3,"N",\N,"airport","OurAirports" 13366,"Innarsuit Heliport","Innaarsuit","Greenland",\N,"BGIN",73.1998953377,-56.0108166933,95,-3,"N",\N,"airport","OurAirports" 13367,"Kangersuatsiaq Heliport","Kangersuatsiaq","Greenland",\N,"BGKS",72.38109155069999,-55.53658604619999,112,-3,"N",\N,"airport","OurAirports" 13368,"Kullorsuaq Heliport","Kullorsuaq","Greenland",\N,"BGKQ",74.5780498288,-57.226828336699995,148,-3,"N",\N,"airport","OurAirports" 13369,"Nuussuaq Heliport","Nuussuaq","Greenland",\N,"BGNU",74.1098528514,-57.065037488899996,184,-3,"N",\N,"airport","OurAirports" 13370,"Tasiusaq (Qaasuitsup) Heliport","Tasiusaq","Greenland",\N,"BGTA",73.37305450439999,-56.060279846200004,181,-3,"N",\N,"airport","OurAirports" 13371,"Upernavik Kujalleq Heliport","Upernavik Kujalleq","Greenland",\N,"BGKL",72.1527425265,-55.5309855938,92,-3,"N",\N,"airport","OurAirports" 13372,"Aappilattoq (Kujalleq) Heliport","Aappilattoq","Greenland",\N,"BGAQ",60.148357,-44.286916,30,-3,"U",\N,"airport","OurAirports" 13373,"Tasiusaq (Kujalleq) Heliport","Tasiusaq","Greenland",\N,"BGTQ",60.1943053097,-44.8134469986,21,-3,"N",\N,"airport","OurAirports" 13374,"Narsaq Kujalleq Heliport","Narsaq Kujalleq","Greenland",\N,"BGFD",60.004694,-44.656935,44,-3,"N",\N,"airport","OurAirports" 13375,"Ikamiut Heliport","Ikamiut","Greenland","QJI","BGIT",68.6342530984,-51.8322622776,49,-3,"N",\N,"airport","OurAirports" 13377,"Ammassivik Heliport","Ammassivik","Greenland",\N,"BGAS",60.597376,-45.382445,71,-3,"N",\N,"airport","OurAirports" 13378,"Eqalugaarsuit Heliport","Eqalugaarsuit","Greenland","QFG","BGET",60.6197196536,-45.9140619636,9,-3,"N",\N,"airport","OurAirports" 13379,"Qassimiut Heliport","Qassimiut","Greenland",\N,"BGQT",60.7809592284,-47.156249284699996,29,-3,"N",\N,"airport","OurAirports" 13380,"Tiniteqilaaq Heliport","Tiniteqilaaq","Greenland",\N,"BGTN",65.8920273392,-37.7834093571,15,-3,"N",\N,"airport","OurAirports" 13381,"Isortoq Heliport","Isortoq","Greenland",\N,"BGIS",65.5477923903,-38.9765524864,92,-3,"N",\N,"airport","OurAirports" 13382,"Kuummiut Heliport","Kuummiit","Greenland",\N,"BGKM",65.8639347361,-36.9979190826,89,-3,"N",\N,"airport","OurAirports" 13383,"Sermiligaaq Heliport","Sermiligaaq","Greenland",\N,"BGSG",65.9059197626,-36.3782536983,33,-3,"N",\N,"airport","OurAirports" 13384,"Ikerassaarsuk Heliport","Ikerasaarsuk","Greenland","QRY","BGIK",68.14088100629999,-53.4414589405,165,-3,"N",\N,"airport","OurAirports" 13385,"Illorsuit Heliport","Illorsuit","Greenland",\N,"BGLL",71.2419440428,-53.5628771782,154,-3,"N",\N,"airport","OurAirports" 13386,"Nuugaatsiaq Heliport","Nuugaatsiaq","Greenland",\N,"BGNQ",71.5387687528,-53.205038309100004,57,-3,"N",\N,"airport","OurAirports" 13387,"Saattut Heliport","Saattut","Greenland",\N,"BGST",70.8111719824,-51.6312897205,131,-3,"N",\N,"airport","OurAirports" 13388,"Ikerasak Heliport","Ikerasak","Greenland",\N,"BGIA",70.4981453548,-51.3030838966,66,-3,"N",\N,"airport","OurAirports" 13389,"Niaqornat Heliport","Niaqornat","Greenland",\N,"BGNT",70.7893846882,-53.6629450321,10,-3,"N",\N,"airport","OurAirports" 13390,"Ukkusissat Heliport","Ukkusissat","Greenland",\N,"BGUT",71.0494384946,-51.8900156021,223,-3,"N",\N,"airport","OurAirports" 13397,"Olhos D`água Airport","Agua Boa","Brazil",\N,"SWHP",-14.019444,-52.152222,1506,-4,"S",\N,"airport","OurAirports" 13398,"Novo Progresso Airport","Novo Progresso","Brazil","NPR","SJNP",-7.125833,-55.400833,794,-3,"S",\N,"airport","OurAirports" 13399,"Adolino Bedin Regional Airport","Sorriso","Brazil","SMT","SBSO",-12.479177,-55.672341,1266,-4,"S",\N,"airport","OurAirports" 13400,"Serra da Capivara Airport","Sao Raimundo Nonato","Brazil",\N,"SWKQ",-9.082778,-42.644444,1362,-3,"S",\N,"airport","OurAirports" 13401,"Encarnación Airport","Encarnacion","Paraguay","ENO","SGEN",-27.227366,-55.837495,659,-4,"S",\N,"airport","OurAirports" 13402,"Amatopo Airstrip","Amatopo","Suriname",\N,"SMAM",3.547885,-57.633958,0,-3,"N",\N,"airport","OurAirports" 13403,"Poeketi Airstrip","Poeketi","Suriname",\N,"SMPE",4.126389,-54.623611,0,-3,"N",\N,"airport","OurAirports" 13404,"Godo Holo Airstrip","Pikienkondre of Miranda","Suriname",\N,"SMGH",4.0583,-54.7861,280,-3,"N",\N,"airport","OurAirports" 13405,"Anholt Airport","Anholt","Denmark",\N,"EKAT",56.698898315399994,11.5558996201,23,1,"E",\N,"airport","OurAirports" 13411,"St Pierre d'Oléron Airfield","Saint Pierre d'Oleron","France",\N,"LFDP",45.959202,-1.31611,20,-1,"E",\N,"airport","OurAirports" 13412,"Semur En Auxois Airfield","Semur en Auxois","France",\N,"LFGQ",47.481899,4.34417,1053,-1,"E",\N,"airport","OurAirports" 13415,"Urzhar Airport","Urzhar","Kazakhstan","UZR","UASU",47.09115,81.66521,0,6,"U",\N,"airport","OurAirports" 13416,"Pyramiden Heliport","Pyramiden","Norway",\N,"ENPY",78.652322,16.337208,6,1,"E",\N,"airport","OurAirports" 13421,"Lipki Air Base","Minsk","Belarus",\N,"UMMI",53.913545,27.708775,0,3,"N",\N,"airport","OurAirports" 13422,"Zermatt Heliport","Zermatt","Switzerland",\N,"LSEZ",46.029319763183594,7.753366470336914,0,1,"E",\N,"airport","OurAirports" 13423,"Nikolskoye Airport","Nikolskoye","Russia",\N,"UHPX",55.1783332824707,166.04833984375,49,12,"N",\N,"airport","OurAirports" 13424,"Tilichiki Airport","Tilichiki","Russia",\N,"UHPT",60.3828010559082,166.0260009765625,7,12,"N",\N,"airport","OurAirports" 13425,"Nyurba Airport","Nyurba","Russia","NYR","UENN",63.294998,118.336998,394,9,"N",\N,"airport","OurAirports" 13426,"Sakkyryr Airport","Batagay-Alyta","Russia","SUK","UEBS",67.792,130.394,1686,9,"N",\N,"airport","OurAirports" 13427,"Ust-Kuyga Airport","Ust-Kuyga","Russia","UKG","UEBT",70.011001586914,135.64500427246,315,10,"N",\N,"airport","OurAirports" 13428,"Verkhnevilyuisk Airport","Verkhnevilyuysk","Russia","VHV","UENI",63.458057403564,120.26916503906,411,9,"N",\N,"airport","OurAirports" 13429,"Mendeleyevo Airport","Yuzhno-Kurilsk","Russia","DEE","UHSM",43.9584007263,145.682998657,584,11,"N",\N,"airport","OurAirports" 13430,"Yamburg Airport","Yamburg","Russia",\N,"USMQ",67.986664,75.099998,108,5,"N",\N,"airport","OurAirports" 13431,"Shakhtyorsk Airport","Shakhtyorsk","Russia","EKS","UHSK",49.1903,142.082993,50,11,"N",\N,"airport","OurAirports" 13432,"Talakan Airport","Talakan","Russia","TLK","UECT",59.876389,111.044444,1329,9,"U",\N,"airport","OurAirports" 13433,"Mama Airport","Mama","Russia",\N,"UIKM",58.313331604003906,112.88999938964844,659,8,"N",\N,"airport","OurAirports" 13435,"Aarhus Seaplne Terminal","Aarhus","Denmark",\N,"EKAC",56.151717,10.248428,0,2,"E",\N,"airport","OurAirports" 13436,"Oakland Troy Airport","Troy","United States",\N,"KVLL",42.54290009,-83.17790222,727,-5,"A",\N,"airport","OurAirports" 13437,"Stratford Municipal Airport","Stratford","Canada",\N,"CYSA",43.415599823,-80.93440246579999,1215,-5,"A",\N,"airport","OurAirports" 13438,"Edmundston Airport","Edmundston","Canada",\N,"CYES",47.4906005859375,-68.48190307617188,490,-4,"A",\N,"airport","OurAirports" 13439,"Red Dog Airport","Red Dog","United States","RDB","PADG",68.03209686279999,-162.899002075,969,-9,"A",\N,"airport","OurAirports" 13447,"Impfondo Airport","Impfondo","Congo (Brazzaville)","ION","FCOI",1.6169999837875366,18.066999435424805,1099,1,"N",\N,"airport","OurAirports" 13448,"El Bayadh Airport","El Bayadh","Algeria","EBH","DAOY",33.721666666699996,1.0925,4493,1,"N",\N,"airport","OurAirports" 13451,"Alzintan Airport","Zintan","Libya","ZIS","HLZN",31.774878,12.25006,2080,2,"N",\N,"airport","OurAirports" 13452,"Monkey Bay Airport","Monkey Bay","Malawi","MYZ","FWMY",-14.083600044299999,34.9197006226,1580,2,"N",\N,"airport","OurAirports" 13453,"Suwałki Airport","Suwalki","Poland",\N,"EPSU",54.07279968261719,22.899200439453125,581,2,"U",\N,"airport","OurAirports" 13454,"Srr Ahmadu Bello International Airport","Birnin Kebbi","Nigeria",\N,"DNBK",12.480556,4.369445,775,1,"N",\N,"airport","OurAirports" 13455,"Sir Abubakar Tafawa Balewa International Airport","Bauchi","Nigeria","BCU","DNBC",10.482833,9.744,1965,1,"N",\N,"airport","OurAirports" 13456,"Gombe Lawanti International Airport","Gombe","Nigeria","GMO","DNGO",10.298333333299999,10.896388888899999,1590,1,"N",\N,"airport","OurAirports" 13457,"Dutse International Airport","Dutse","Nigeria",\N,"DNDS",11.795168,9.311667,1365,1,"N",\N,"airport","OurAirports" 13458,"Jalingo Airport","Jalingo","Nigeria",\N,"DNJA",8.900587,11.27946,685,1,"N",\N,"airport","OurAirports" 13460,"Kolda North Airport","Kolda","Senegal","KDA","GODK",12.898500442504883,-14.968099594116211,33,0,"N",\N,"airport","OurAirports" 13463,"King Mswati III International Airport","Manzini","Swaziland","SHO","FDSK",-26.358611,31.716944,1092,2,"N",\N,"airport","OurAirports" 13465,"Kilwa Masoko Airport","Kilwa Masoko","Tanzania","KIY","HTKI",-8.91123,39.508619,50,3,"U",\N,"airport","OurAirports" 13466,"West Kilimanjaro Airport","Kilimanjaro","Tanzania",\N,"HTWK",-3.049999952316284,37,4300,3,"N",\N,"airport","OurAirports" 13467,"Moshi Airport","Moshi","Tanzania","QSI","HTMS",-3.3633298873901367,37.326900482177734,2801,3,"N",\N,"airport","OurAirports" 13468,"Mansa Airport","Mansa","Zambia","MNS","FLMA",-11.13700008392334,28.872600555419922,4101,2,"N",\N,"airport","OurAirports" 13469,"Ghazni Airport","Ghazni","Afghanistan","GZI","OAGN",33.5312004089,68.412902832,7150,4.5,"N",\N,"airport","OurAirports" 13470,"Baicheng Chang'an Airport","Baicheng","China","DBC","ZYBA",45.505278,123.019722,480,8,"N",\N,"airport","OurAirports" 13471,"Longnan Chengzhou Airport","Longnan","China","LNL","ZLLN",33.788,105.797,3707,8,"N",\N,"airport","OurAirports" 13472,"Shangrao Sanqingshan Airport","Shangrao","China","SQD","ZSSR",28.3797,117.9643,340,8,"N",\N,"airport","OurAirports" 13473,"Songyuan Chaganhu Airport","Songyuan","China","YSQ","ZYSQ",44.938114,124.550178,459,8,"N",\N,"airport","OurAirports" 13474,"Jiansanjiang Airport","Jiansanjiang","China","JSJ","ZYJS",47.11,132.660278,0,8,"N",\N,"airport","OurAirports" 13476,"Zunyi Maotai Airport","Zunyi","China","WMT","ZUMT",27.81638,106.33268,4068,8,"N",\N,"airport","OurAirports" 13477,"Libo Airport","Libo","China","LLB","ZULB",25.4525,107.961667,0,8,"N",\N,"airport","OurAirports" 13478,"Chengde Puning Airport","Chengde","China","CDE","ZBCD",41.1225,118.073889,0,8,"N",\N,"airport","OurAirports" 13479,"Wudalianchi Dedu Airport","Wudalianchi","China","DTU","ZYDU",48.445,126.133,984,8,"N",\N,"airport","OurAirports" 13480,"Ejin Banner-Taolai Airport","Ejin Banner","China","EJN","ZBEN",42.0155,101.0005,3077,8,"N",\N,"airport","OurAirports" 13481,"Alxa Right Banner Badanjilin Airport","Alxa Right Banner","China","RHT","ZBAR",39.225,101.546,4659,8,"N",\N,"airport","OurAirports" 13482,"Holingol Huolinhe Airport","Holingol","China","HUO","ZBHZ",45.487222,119.407222,0,8,"N",\N,"airport","OurAirports" 13483,"Golog Maqin Airport","Golog","China","GMQ","ZLGL",34.418066,100.301144,12426,8,"N",\N,"airport","OurAirports" 13485,"Yeerqiang Airport","Yarkant","China","QSZ","ZWSC",38.281055,77.075192,4232,8,"N",\N,"airport","OurAirports" 13487,"Tezu Airport","Tezu","India","TEI","VETJ",27.9412002563,96.1343994141,800,5.5,"N",\N,"airport","OurAirports" 13488,"Cangyuan Washan Airport","Cangyuan","China","CWJ","ZPCW",23.273889,99.373611,0,8,"N",\N,"airport","OurAirports" 13489,"Lancang Jingmai Airport","Lancang Lahu","China","JMJ","ZPJM",22.415833,99.786389,0,8,"N",\N,"airport","OurAirports" 13490,"Ninglang Luguhu Airport","Ninglang","China","NLH","ZPNL",27.5403,100.7593,10804,8,"N",\N,"airport","OurAirports" 13491,"Pimenta Bueno Airport","Pimenta Bueno","Brazil","PBQ","SWPM",-11.641599655151367,-61.179100036621094,682,-4,"S",\N,"airport","OurAirports" 13492,"Ariquemes Airport","ARIQUEMES","Brazil",\N,"SJOG",-9.884721755981445,-63.04888916015625,530,-4,"S",\N,"airport","OurAirports" 13493,"Fazenda Spartacus Airport","COLNIZA","Brazil",\N,"SIXZ",-24,-48.608333587646484,2346,-4,"S",\N,"airport","OurAirports" 13494,"Xinzhou Wutaishan Airport","Xinzhou","China","WUT","ZBXZ",38.597456,112.969173,2527,8,"N",\N,"airport","OurAirports" 13496,"Chengjisihan Airport","Zhalantun","China","NZL","ZBZL",47.865833,122.767503,928,8,"N",\N,"airport","OurAirports" 13497,"Fazenda Mequens Airport","ALTA FLORESTA D'OESTE","Brazil",\N,"SJTF",-13.061944007873535,-62.25749969482422,552,-4,"S",\N,"airport","OurAirports" 13498,"Prainha Airport","APUI","Brazil",\N,"SWYN",-7.17287015914917,-59.839599609375,197,-4,"S",\N,"airport","OurAirports" 13499,"Mostardas Airport","SANTO ANTONIO DO MATUPI","Brazil",\N,"SSMT",-31.103599548339844,-50.910301208496094,59,-4,"S",\N,"airport","OurAirports" 13500,"Santo Domingo Airport","CONSELVAN","Brazil",\N,"SCSN",-33.65639877319336,-71.6144027709961,246,-4,"S",\N,"airport","OurAirports" 13502,"Adampur Airport","Adampur","India","AIP","VIAX",31.4338,75.758797,775,5.5,"N",\N,"airport","OurAirports" 13511,"Vijayanagar Aerodrome (JSW)","Toranagallu","India","VDY","VOJV",15.1749666667,76.6349472222,1670,5.5,"N",\N,"airport","OurAirports" 13513,"Shirdi Airport","Shirdi","India","SAG","VASD",19.688611,74.378889,1926,5.5,"N",\N,"airport","OurAirports" 13514,"Jeypore Airport","Jeypore","India","PYB","VEJP",18.8799991607666,82.552001953125,1952,5.5,"N",\N,"airport","OurAirports" 13520,"Trunojoyo Airport","Sumenep","Indonesia","SUP","WART",-7.0242,113.89023,10,7,"N",\N,"airport","OurAirports" 13521,"Lasondre Airport","Batu Islands","Indonesia",\N,"WIMO",-0.01924,98.30097,30,7,"N",\N,"airport","OurAirports" 13525,"Rokot Airport","Sipora","Indonesia","RKO","WIBR",-2.0991199016571045,99.70069885253906,1,7,"N",\N,"airport","OurAirports" 13529,"Pasir Pangaraan Airport","Pasir Pangaraian","Indonesia","PPR","WIDE",0.8454310297966003,100.37000274658203,151,7,"N",\N,"airport","OurAirports" 13530,"Sei Bati Airport","Tanjung Balai Karimun","Indonesia","TJB","WIBT",1.0527,103.3931,33,7,"N",\N,"airport","OurAirports" 13532,"Departi Parbo Airport","Kerinci Regency","Indonesia","KRC","WIPH",-2.093,101.4683,2600,7,"N",\N,"airport","OurAirports" 13535,"Namrole Airport","Buru Island","Indonesia","NRE","WAPG",-3.8548,126.7012,31,9,"N",\N,"airport","OurAirports" 13538,"Namlea Airport","Namlea","Indonesia","NAM","WAPR",-3.235569953918457,127.0999984741211,41,9,"N",\N,"airport","OurAirports" 13540,"Rar Gwamar Airport","Dobo","Indonesia","DOB","WAPD",-5.7722201347399995,134.212005615,61,9,"N",\N,"airport","OurAirports" 13543,"Emalamo Sanana Airport","Sanana","Indonesia","SQN","WAPN",-2.080509901046753,125.96700286865234,39,9,"N",\N,"airport","OurAirports" 13544,"Ayawasi Airport","Ayawasi","Indonesia","AYW","WASA",-1.1593,132.4633,1560,9,"N",\N,"airport","OurAirports" 13545,"Bunyu Airport","Bunyu","Indonesia","BYQ","WALV",3.45571994781,117.866996765,118,8,"N",\N,"airport","OurAirports" 13546,"Buol Airport","Buol","Indonesia","UOL","WAMY",1.1027,121.4141,27,8,"N",\N,"airport","OurAirports" 13548,"Sugimanuru Airport","Raha","Indonesia","RAQ","WAWR",-4.760557,122.569371,132,8,"N",\N,"airport","OurAirports" 13550,"Jask Airport","Jask","Iran","JSK","OIZJ",25.653601,57.799301,19,3.5,"E",\N,"airport","OurAirports" 13551,"Frankfort Dow Memorial Field","Frankfort","United States",\N,"KFKS",44.62519836425781,-86.20079803466797,633,-5,"A",\N,"airport","OurAirports" 13552,"Cheboygan County Airport","Cheboygan","United States",\N,"KSLH",45.65370178,-84.51930237,639,-5,"A",\N,"airport","OurAirports" 13553,"Kozushima Airport","Kozushima","Japan",\N,"RJAZ",34.189998626699996,139.134002686,452,9,"N",\N,"airport","OurAirports" 13561,"Kazarman Airport","Kazarman","Kyrgyzstan",\N,"UAFZ",41.4102908129,74.044418335,4298,6,"N",\N,"airport","OurAirports" 13562,"Kerben Airport","Kerben","Kyrgyzstan",\N,"UAFE",41.484500885,71.7337036133,4199,6,"N",\N,"airport","OurAirports" 13564,"Naryn Airport","Naryn","Kyrgyzstan",\N,"UAFN",41.44150161739999,76.13059997559999,6998,6,"N",\N,"airport","OurAirports" 13566,"Sayaboury Airport","Sainyabuli","Laos","ZBY","VLSB",19.2436,101.7093,962,7,"N",\N,"airport","OurAirports" 13572,"Baglung Airport","Baglung","Nepal","BGL","VNBL",28.212799072265625,83.66629791259766,3320,5.75,"N",\N,"airport","OurAirports" 13573,"Rajbiraj Airport","Rajbiraj","Nepal","RJB","VNRB",26.510066,86.733902,250,5.45,"N",\N,"airport","OurAirports" 13575,"Duqm International Airport","Duqm","Oman","DQM","OODQ",19.501944,57.634167,364,4,"N",\N,"airport","OurAirports" 13580,"Palanan Community Airport","Palanan","Philippines",\N,"RPLN",17.065667,122.427671,52,8,"N",\N,"airport","OurAirports" 13581,"Itbayat Airport","Itbayat","Philippines",\N,"RPLT",20.722521,121.809969,328,8,"N",\N,"airport","OurAirports" 13583,"Catbalogan Airport","Catbalogan City","Philippines",\N,"RPVY",11.81,124.83,0,8,"N",\N,"airport","OurAirports" 13584,"Maasin Airport","Maasin","Philippines",\N,"RPSM",10.187299728393555,124.78199768066406,328,8,"N",\N,"airport","OurAirports" 13592,"Bantayan Airport","Bantayan","Philippines",\N,"RPSB",11.1624,123.7848,60,8,"N",\N,"airport","OurAirports" 13593,"Biliran Airport","Biliran","Philippines",\N,"RPVQ",11.5159178299,124.428985119,0,8,"N",\N,"airport","OurAirports" 13595,"Fazenda Várzea Funda Airport","PRIMAVERA D'OESTE","Brazil",\N,"SIEL",-16.58361053466797,-57.73222351074219,709,-4,"S",\N,"airport","OurAirports" 13597,"Primavera do Leste Airport","PRIMAVERA DO LESTE","Brazil",\N,"SWPY",-15.565555572509766,-54.33777618408203,2149,-4,"S",\N,"airport","OurAirports" 13598,"Croker Island Airport","Croker Island","Australia","CKI","YCKI",-11.164999961853027,132.48300170898438,16,9.5,"N",\N,"airport","OurAirports" 13599,"The Granites Airport","The Granites","Australia",\N,"YTGT",-20.54829978942871,130.3470001220703,0,9.5,"N",\N,"airport","OurAirports" 13600,"Barimunya Airport","Barimunya","Australia","BYP","YBRY",-22.673900604248,119.16600036621,2082,8,"N",\N,"airport","OurAirports" 13601,"Laucala Island Airport","Laucala","Fiji","LUC","NFNH",-16.74810028076172,-179.66700744628906,10,12,"U",\N,"airport","OurAirports" 13602,"Yasawa Island Airport","Yasawa Island","Fiji","YAS","NFSW",-16.758899688720703,177.5449981689453,37,12,"Z",\N,"airport","OurAirports" 13606,"North Shore Aerodrome","North Shore","New Zealand",\N,"NZNE",-36.656700134277344,174.65499877929688,210,12,"Z",\N,"airport","OurAirports" 13607,"John C Tune Airport","Nashville","United States",\N,"KJWN",36.18239974975586,-86.88670349121094,495,-5,"A",\N,"airport","OurAirports" 13608,"Okiwi Station Airport","Okiwi","New Zealand",\N,"NZOX",-36.146400451660156,175.41900634765625,10,12,"Z",\N,"airport","OurAirports" 13609,"Waiheke Reeve Airport","Waiheke Island","New Zealand","WIK","NZKE",-36.80889892578125,175.08599853515625,226,12,"Z",\N,"airport","OurAirports" 13610,"Karamea Airport","Karamea","New Zealand",\N,"NZKM",-41.236698150634766,172.10499572753906,30,12,"Z",\N,"airport","OurAirports" 13621,"Jastarnia Airport","Jastarnia","Poland",\N,"EPJA",54.71028137207031,18.645280838012695,3,2,"E",\N,"airport","OurAirports" 13622,"Nop Goliat Airport","Dekai","Indonesia","DEX","WAVD",-4.8557,139.482006,198,9,"N",\N,"airport","OurAirports" 13623,"Napuka Island Airport","Napuka","French Polynesia","NAU","NTGN",-14.176799774169922,-141.26699829101562,7,-10,"N",\N,"airport","OurAirports" 13624,"Faaite Airport","Faaite","French Polynesia","FAC","NTKF",-16.68670082092285,-145.32899475097656,7,-10,"N",\N,"airport","OurAirports" 13625,"Nukutavake Airport","Nukutavake","French Polynesia","NUK","NTGW",-19.28499984741211,-138.77200317382812,17,-10,"N",\N,"airport","OurAirports" 13626,"Vahitahi Airport","Vahitahi","French Polynesia","VHZ","NTUV",-18.780000686645508,-138.85299682617188,9,-10,"N",\N,"airport","OurAirports" 13627,"Hikueru Atoll Airport","Hikueru","French Polynesia","HHZ","NTGH",-17.544700622558594,-142.61399841308594,5,-10,"N",\N,"airport","OurAirports" 13628,"Raroia Airport","Raroia","French Polynesia","RRR","NTKO",-16.045,-142.476944,18,-10,"N",\N,"airport","OurAirports" 13629,"Kauehi Airport","Kauehi","French Polynesia","KHZ","NTKA",-15.780799865722656,-145.12399291992188,13,-10,"N",\N,"airport","OurAirports" 13630,"Tatakoto Airport","Tatakoto","French Polynesia","TKV","NTGO",-17.355300903320312,-138.44500732421875,12,-10,"N",\N,"airport","OurAirports" 13631,"Sasereme Airport","Sasereme","Papua New Guinea","TDS","AYSS",-7.6217,142.868,121,10,"N",\N,"airport","OurAirports" 13632,"Tanah Merah Airport","Boven Digoel","Indonesia","TMH","WAKT",-6.099219799041748,140.29800415039062,57,9,"N",\N,"airport","OurAirports" 13635,"Denali Airport","McKinley Park","United States",\N,"AK06",63.64509963989258,-148.79800415039062,2050,-9,"A",\N,"airport","OurAirports" 13636,"Comte. Rolim Adolfo Amaro–Jundiaí State Airport","Jundiai","Brazil",\N,"SBJD",-23.180369,-46.944408,2484,-3,"S",\N,"airport","OurAirports" 13642,"Potomac Airpark","Berkeley Springs","United States",\N,"KW35",39.69260025024414,-78.16609954833984,412,-5,"A",\N,"airport","OurAirports" 13643,"Helisul IV Heliport","Foz Do Iguacu","Brazil",\N,"SSHS",-25.613056182861328,-54.39805603027344,676,-3,"N",\N,"airport","OurAirports" 13647,"Brits Airport","Brits","South Africa",\N,"FABS",-25.53230094909668,27.77589988708496,3756,2,"U",\N,"airport","OurAirports" 13648,"West Melton Aerodrome","West Melton","New Zealand",\N,"NZWL",-43.47669982910156,172.39700317382812,312,12,"Z",\N,"airport","OurAirports" 13649,"Rangiora Airfield","Rangiora","New Zealand",\N,"NZRT",-43.290000915527344,172.54200744628906,180,12,"U",\N,"airport","OurAirports" 13668,"Fazenda Jatobasso Airport","JARU","Brazil",\N,"SIDG",-22.429166793823242,-55.53333282470703,2152,-4,"S",\N,"airport","OurAirports" 13669,"FIC Heliport","MACHADINHO D'OESTE","Brazil",\N,"SIMC",-22.711389541625977,-47.141109466552734,1985,-4,"S",\N,"airport","OurAirports" 13671,"Noonkanbah Airport","Noonkanbah","Australia","NKB","YNKA",-18.4946994781,124.851997375,0,8,"N",\N,"airport","OurAirports" 13677,"Algeciras Heliport","Algeciras","Spain","AEI","LEAG",36.12888,-5.441118,98,-2,"E",\N,"airport","OurAirports" 13681,"Chepelevka Airport","Uzyn","Ukraine",\N,"UKKH",49.79059982299805,30.4414005279541,568,2,"E",\N,"airport","OurAirports" 13683,"Fazenda São Nicolau Airport","COTRIGUACU","Brazil",\N,"SWQT",-9.8644437789917,-58.229167938232,738,0,"U",\N,"airport","OurAirports" 13684,"Kisoro Airport","Kisoro","Uganda",\N,"HUKI",-1.2837,29.7197,6200,3,"N",\N,"airport","OurAirports" 13687,"Kasese Airport","Kasese","Uganda","KSE","HUKS",0.18299999833106995,30.100000381469727,3146,3,"N",\N,"airport","OurAirports" 13694,"Stennis International Airport","Bay St. Louis","United States",\N,"KHSA",30.367799758911133,-89.45459747314453,23,-5,"A",\N,"airport","OurAirports" 13695,"Sunchales Aeroclub Airport","Sunchales","Argentina","NCJ","SAFS",-30.9575,-61.5283,311,-3,"N",\N,"airport","OurAirports" 13696,"Istanbul Airport","Istanbul","Turkey","IST","LTFM",41.275278,28.751944,325,3,"E",\N,"airport","OurAirports" 13707,"Seldovia Airport","Seldovia","United States","SOV","PASO",59.442401885986,-151.70399475098,29,-9,"A",\N,"airport","OurAirports" 13711,"Lutselk'e Airport","Lutselk'e","Canada","YSG","CYLK",62.418303,-110.681998,596,\N,\N,\N,"airport","OurAirports" 13712,"Engeløy Airport","Engeløy","Norway",\N,"ENEN",67.967222,14.9925,0,\N,\N,\N,"airport","OurAirports" 13713,"Dwangwa Airport","Dwangwa","Malawi","DWA","FWDW",-12.5183,34.131901,1605,\N,\N,\N,"airport","OurAirports" 13714,"Paloich Airport, Heliport","Higleig","South Sudan","HGI","HSFA",10.529167,32.500556,1290,\N,\N,\N,"airport","OurAirports" 13715,"Julian Carroll Airport","Jackson","United States",\N,"KJKL",37.59389877319336,-83.31729888916016,1381,\N,\N,\N,"airport","OurAirports" 13716,"Beaufort MCAS - Merritt Field","Beaufort","United States",\N,"KNBC",32.4774017334,-80.723197937,37,\N,\N,\N,"airport","OurAirports" 13717,"Camp Pendleton MCAS (Munn Field) Airport","Oceanside","United States",\N,"KNFG",33.30130005,-117.3550034,78,\N,\N,\N,"airport","OurAirports" 13718,"Aerodromo de Castelo Branco","Castelo Branco","Portugal",\N,"LPCB",39.847022,-7.44111,1300,\N,\N,\N,"airport","OurAirports" 13719,"Ponte de Sor Airport","Ponte de Sôr","Portugal",\N,"LPSO",39.211559,-8.056542,0,\N,\N,\N,"airport","OurAirports" 13720,"Vilar de Luz Airfield","Maia","Portugal",\N,"LPVL",41.27729,-8.516209,762,\N,\N,\N,"airport","OurAirports" 13721,"Hard Bargain Airport","","Bahamas",\N,"MYLR",23.011194,-74.905889,0,\N,\N,\N,"airport","OurAirports" 13722,"Kenebetsu JASDF Airfield","Kenebetsu","Japan",\N,"RJCS",43.425154,144.741354,0,\N,\N,\N,"airport","OurAirports" 13723,"Augusto Severo Airport","Natal","Brazil",\N,"SBNT",-5.91141986847,-35.2476997375,169,\N,\N,\N,"airport","OurAirports" 13724,"Kishangarh Airport","Ajmer","India","KQH","VIKG",26.601473,74.814147,0,\N,\N,\N,"airport","OurAirports" 13725,"Kannur International Airport","Kannur","India","CNN","VOKN",11.918614,75.547211,330,\N,\N,\N,"airport","OurAirports" 13726,"Beijing Xijiao Airport","Beijing","China",\N,"ZBBB",39.9608,116.257004,0,\N,\N,\N,"airport","OurAirports" 13735,"Flores Airport","MANAUS","Brazil",\N,"SWFN",-3.0727779865264893,-60.02111053466797,203,-4,"S",\N,"airport","OurAirports" 13752,"Umuwa Airport","Umuwa","Australia",\N,"YUMU",-26.4867000579834,132.0399932861328,0,9.5,"O",\N,"airport","OurAirports" 13754,"La Araucanía Airport","Temuco","Chile","ZCO","SCQP",-38.9259,-72.6515,333,-3,"S",\N,"airport","OurAirports" 13756,"Arathusa Safari Lodge Airport","Arathusa","South Africa","ASS","FACC",-24.744165,31.522499,1200,2,"U",\N,"airport","OurAirports" 13757,"Vidalia Regional Airport","Vidalia","United States","VDI","KVDI",32.192699432373,-82.371200561523,275,-4,"A",\N,"airport","OurAirports" 13758,"Granbury Regional Airport","Granbury","United States",\N,"KGDJ",32.44440079,-97.81690216,778,-5,"A",\N,"airport","OurAirports" 13759,"Oswego County Airport","Fulton","United States",\N,"KFZY",43.350799560546875,-76.38809967041016,475,-4,"A",\N,"airport","OurAirports" 13760,"New Islamabad International Airport","Islamabad","Pakistan","ISB","OPIS",33.560713,72.851613,1646,5,"U",\N,"airport","OurAirports" 13762,"Vumbura Airport","Vumburu","Botswana",\N,"FBVM",-18.955395,22.814533,3185,2,"N",\N,"airport","OurAirports" 13763,"Farm Whitwater East Landing Strip","Hardap","Namibia",\N,"FYGK",-24.629999,15.9392,857,2,"N",\N,"airport","OurAirports" 13765,"Muwaffaq Salti Air Base","AZRAQ","Jordan",\N,"OJ40",31.8255996704,36.782001495399996,1706,2,"U",\N,"airport","OurAirports" 13771,"Kirkjubæjarklaustur Airport","Kirkjubaejarklaustur ","Iceland",\N,"BIKL",63.79079818725586,-18.001399993896484,66,0,"N",\N,"airport","OurAirports" 13772,"Fazenda Uiapuru Airport","COMODORO","Brazil",\N,"SWVJ",-13.663888931274414,-56.002220153808594,1519,-4,"S",\N,"airport","OurAirports" 13773,"Whitehorse Seaplane Base","Whitehorse","Canada",\N,"CEZ5",60.69110107421875,-135.03700256347656,2138,-8,"A",\N,"airport","OurAirports" 13777,"Pertominsk Airport","Pertominsk","Russia",\N,"ULAT",64.7900009155,38.4199981689,56,4,"N",\N,"airport","OurAirports" 13792,"Mount Weld Airport","Laverton","Australia",\N,"YMNW",-28.771699905395508,122.44000244140625,0,8,"N",\N,"airport","OurAirports" 13793,"Kidston Airport","Kidston","Australia",\N,"YKID",-18.8700008392334,144.17300415039062,494,10,"U",\N,"airport","OurAirports" 13802,"Klaksvik Heliport","Klaksvik","Faroe Islands",\N,"EKKV",62.2178497314,-6.5764546394300005,263,0,"E",\N,"airport","OurAirports" 13803,"Mitchell Municipal Airport","Mitchell","United States","MHE","KMHE",43.774799346900004,-98.03859710690001,1304,-6,"A",\N,"airport","OurAirports" 13805,"Hunda Airport","Tubu Tree Camp","Botswana",\N,"FBHU",-19.2765,22.475646,3195,2,"N",\N,"airport","OurAirports" 13808,"Mchauru Airport","Geita","Tanzania","GIT","HTRU",-2.813667,32.172472,3955,3,"N",\N,"airport","OurAirports" 13821,"Gitega Airport","Gitega","Burundi","GID","HBBE",-3.417209,29.911308,5741,2,"U",\N,"airport","OurAirports" 13829,"Región de Murcia International Airport","Murcia","Spain","RMU","LEMI",37.803,-1.125,632,1,"E",\N,"airport","OurAirports" 13830,"Fazenda Kajussol Airport","Alta Floresta D'Oeste","Brazil",\N,"SJYD",-11.9647216796875,-61.686668395996094,636,-4,"S",\N,"airport","OurAirports" 13880,"Pelee Island Airport","Pelee","Canada",\N,"CYPT",41.780399322509766,-82.6780014038086,572,-5,"A",\N,"airport","OurAirports" 13881,"Costa Marques Airport","COSTA MARQUES","Brazil","CQS","SWCQ",-12.421099662780762,-64.25160217285156,555,-4,"S",\N,"airport","OurAirports" 13891,"Mangalore Airport","Mangalore","Australia",\N,"YMNG",-36.888301849365234,145.1840057373047,467,10,"O",\N,"airport","OurAirports" 14086,"San Isidro del General Airport","San Isidro","Costa Rica",\N,"MRSI",9.352620124816895,-83.71309661865234,2100,-6,"N",\N,"airport","OurAirports" 14087,"Zabrat Airport","Baku","Azerbaijan","ZXT","UBTT",40.4955422161,49.9768066406,36,\N,\N,\N,"airport","OurAirports" 14088,"Bezmer Air Base","Yambol","Bulgaria","JAM","LBIA",42.4548988342,26.3521995544,509,\N,\N,\N,"airport","OurAirports" 14089,"Osovtsy Air Base","Byaroza","Belarus",\N,"UMMO",52.5569992065,24.884000778199997,0,\N,\N,\N,"airport","OurAirports" 14090,"Yuanmou Air Base","Yuanmou","China","YUA","ZPYM",25.737499237061,101.88200378418,3810,\N,\N,\N,"airport","OurAirports" 14091,"Changsha Datuopu Airport/AFB","Changsha","China",\N,"ZGCS",28.0688991547,112.958000183,170,\N,\N,\N,"airport","OurAirports" 14092,"Xingcheng Air Base","","China","XEN","ZYXC",40.580299377399996,120.697998047,30,\N,\N,\N,"airport","OurAirports" 14093,"Lefkoniko Airport","Geçitkale","Cyprus","GEC","LCGK",35.235947,33.724358,146,\N,\N,\N,"airport","OurAirports" 14095,"Songwe Airport","Mbeya","Tanzania","MBI","HTGW",-8.919942,33.273981,4412,\N,\N,\N,"airport","OurAirports" 14096,"Kalocsa/Foktő Airport","Kalocsa/Foktő","Hungary",\N,"LHKA",46.549613,18.942421,284,\N,\N,\N,"airport","OurAirports" 14097,"Bilogai-Sugapa Airport","Sugapa-Papua Island","Indonesia","UGU","WABV",-3.73956,137.031998,7348,\N,\N,\N,"airport","OurAirports" 14098,"Jakkur Aerodrome","Bengaluru","India",\N,"VOJK",13.07674,77.597645,3013,\N,\N,\N,"airport","OurAirports" 14099,"Jalal-Abad Airport","Jalal-Abad","Kyrgyzstan",\N,"UAFJ",40.944401,72.977798,2591,\N,\N,\N,"airport","OurAirports" 14100,"Ramon Airport","Eilat","Israel","ETM","LLER",29.723694,35.011416,288,\N,\N,\N,"airport","OurAirports" 14101,"Rustaq Airport","Al Masna'ah","Oman","MNH","OORQ",23.640556,57.4875,349,\N,\N,\N,"airport","OurAirports" 14102,"Laguindingan Airport","Cagayan de Oro City","Philippines","CGY","RPMY",8.612203,124.456496,190,\N,\N,\N,"airport","OurAirports" 14103,"Kostomuksha Airport","Kostomuksha","Russia",\N,"ULPM",64.61799621579999,30.687000274699997,681,\N,\N,\N,"airport","OurAirports" 14104,"Privolzhskiy Air Base","Astrakhan","Russia",\N,"XRAP",46.396,47.893,-66,\N,\N,\N,"airport","OurAirports" 14105,"Kubinka Air Base","Kubinka","Russia",\N,"UUMB",55.611695,36.650002,614,\N,\N,\N,"airport","OurAirports" 14106,"Rogachyovo Air Base","Belaya","Russia",\N,"ULDA",71.61669921880001,52.4782981873,272,\N,\N,\N,"airport","OurAirports" 14107,"Ulan-Ude East Airport","Ulan Ude","Russia",\N,"XIUW",51.849998474121094,107.73799896240234,1670,\N,\N,\N,"airport","OurAirports" 14108,"Krechevitsy Air Base","Novgorod","Russia",\N,"ULLK",58.625,31.385000228881836,85,\N,\N,\N,"airport","OurAirports" 14109,"Desierto de Atacama Airport","Copiapo","Chile","CPO","SCAT",-27.2611999512,-70.7791976929,670,\N,\N,\N,"airport","OurAirports" 14110,"Melitopol Air Base","Melitopol","Ukraine",\N,"UKDM",46.880001,35.305,0,\N,\N,\N,"airport","OurAirports" jmschrei-apricot-bf86e69/tutorials/routes.csv000077500000000000000000110426741414554015600215230ustar00rootroot000000000000002B,410,AER,2965,KZN,2990,,0,CR2 2B,410,ASF,2966,KZN,2990,,0,CR2 2B,410,ASF,2966,MRV,2962,,0,CR2 2B,410,CEK,2968,KZN,2990,,0,CR2 2B,410,CEK,2968,OVB,4078,,0,CR2 2B,410,DME,4029,KZN,2990,,0,CR2 2B,410,DME,4029,NBC,6969,,0,CR2 2B,410,DME,4029,TGK,\N,,0,CR2 2B,410,DME,4029,UUA,6160,,0,CR2 2B,410,EGO,6156,KGD,2952,,0,CR2 2B,410,EGO,6156,KZN,2990,,0,CR2 2B,410,GYD,2922,NBC,6969,,0,CR2 2B,410,KGD,2952,EGO,6156,,0,CR2 2B,410,KZN,2990,AER,2965,,0,CR2 2B,410,KZN,2990,ASF,2966,,0,CR2 2B,410,KZN,2990,CEK,2968,,0,CR2 2B,410,KZN,2990,DME,4029,,0,CR2 2B,410,KZN,2990,EGO,6156,,0,CR2 2B,410,KZN,2990,LED,2948,,0,CR2 2B,410,KZN,2990,SVX,2975,,0,CR2 2B,410,LED,2948,KZN,2990,,0,CR2 2B,410,LED,2948,NBC,6969,,0,CR2 2B,410,LED,2948,UUA,6160,,0,CR2 2B,410,MRV,2962,ASF,2966,,0,CR2 2B,410,NBC,6969,DME,4029,,0,CR2 2B,410,NBC,6969,GYD,2922,,0,CR2 2B,410,NBC,6969,LED,2948,,0,CR2 2B,410,NBC,6969,SVX,2975,,0,CR2 2B,410,NJC,2972,SVX,2975,,0,CR2 2B,410,NJC,2972,UUA,6160,,0,CR2 2B,410,NUX,4364,SVX,2975,,0,CR2 2B,410,OVB,4078,CEK,2968,,0,CR2 2B,410,OVB,4078,SVX,2975,,0,CR2 2B,410,SVX,2975,KZN,2990,,0,CR2 2B,410,SVX,2975,NBC,6969,,0,CR2 2B,410,SVX,2975,NJC,2972,,0,CR2 2B,410,SVX,2975,NUX,4364,,0,CR2 2B,410,SVX,2975,OVB,4078,,0,CR2 2B,410,TGK,\N,DME,4029,,0,CR2 2B,410,UUA,6160,DME,4029,,0,CR2 2B,410,UUA,6160,LED,2948,,0,CR2 2B,410,UUA,6160,NJC,2972,,0,CR2 2G,1654,BTK,2936,IKT,2937,,0,A81 2G,1654,BTK,2936,OVB,4078,,0,A81 2G,1654,CEK,2968,OVB,4078,,0,A81 2G,1654,HTA,2935,IKT,2937,,0,AN4 2G,1654,IKT,2937,BTK,2936,,0,A81 2G,1654,IKT,2937,HTA,2935,,0,AN4 2G,1654,IKT,2937,KCK,\N,,0,AN4 2G,1654,IKT,2937,ODO,8944,,0,AN4 2G,1654,IKT,2937,OVB,4078,,0,A81 2G,1654,IKT,2937,UKX,6924,,0,AN4 2G,1654,IKT,2937,ULK,9026,,0,AN4 2G,1654,IKT,2937,YKS,2923,,0,A81 2G,1654,KCK,\N,IKT,2937,,0,AN4 2G,1654,MJZ,2925,OVB,4078,,0,A81 2G,1654,ODO,8944,IKT,2937,,0,AN4 2G,1654,OVB,4078,BTK,2936,,0,A81 2G,1654,OVB,4078,CEK,2968,,0,A81 2G,1654,OVB,4078,IKT,2937,,0,A81 2G,1654,UKX,6924,IKT,2937,,0,AN4 2G,1654,ULK,9026,IKT,2937,,0,AN4 2G,1654,YKS,2923,IKT,2937,,0,A81 2I,8359,AYP,2786,LIM,2789,,0,142 2I,8359,CUZ,2812,LIM,2789,,0,142 141 2I,8359,CUZ,2812,PEM,2808,,0,142 2I,8359,HUU,6067,LIM,2789,,0,141 2I,8359,IQT,2801,PCL,2781,,0,143 2I,8359,IQT,2801,TPP,2806,,0,142 2I,8359,LIM,2789,AYP,2786,,0,142 2I,8359,LIM,2789,CUZ,2812,,0,142 141 2I,8359,LIM,2789,HUU,6067,,0,141 2I,8359,LIM,2789,PCL,2781,,0,143 146 2I,8359,LIM,2789,TPP,2806,,0,142 146 2I,8359,PCL,2781,IQT,2801,,0,143 2I,8359,PCL,2781,LIM,2789,,0,143 146 2I,8359,PCL,2781,TPP,2806,,0,146 2I,8359,PEM,2808,CUZ,2812,,0,142 2I,8359,TPP,2806,IQT,2801,,0,142 2I,8359,TPP,2806,LIM,2789,,0,142 146 2I,8359,TPP,2806,PCL,2781,,0,146 2J,470,ABJ,253,BOY,247,,0,CRJ 2J,470,ABJ,253,OUA,246,,0,E70 CRJ M87 2J,470,ACC,248,OUA,246,,0,CRJ 2J,470,BKO,1044,ABJ,253,,0,M87 2J,470,BKO,1044,DKR,1084,,0,M87 2J,470,BKO,1044,OUA,246,,0,CRJ 2J,470,BOY,247,ABJ,253,,0,CRJ 2J,470,BOY,247,OUA,246,,0,CRJ 2J,470,COO,245,LFW,298,,0,M87 2J,470,COO,245,OUA,246,,0,M87 2J,470,DKR,1084,BKO,1044,,0,M87 2J,470,DKR,1084,OUA,246,,0,M87 2J,470,LFW,298,OUA,246,,0,M87 CRJ 2J,470,NIM,280,OUA,246,,0,CRJ 2J,470,OUA,246,ABJ,253,,0,E70 CRJ M87 2J,470,OUA,246,ACC,248,,0,CRJ 2J,470,OUA,246,BKO,1044,,0,M87 CRJ 2J,470,OUA,246,BOY,247,,0,CRJ 2J,470,OUA,246,COO,245,,0,M87 2J,470,OUA,246,DKR,1084,,0,M87 2J,470,OUA,246,LFW,298,,0,CRJ 2J,470,OUA,246,NIM,280,,0,CRJ 2K,1338,BOG,2709,GYE,2673,,0,319 2K,1338,BOG,2709,UIO,2688,,0,319 320 2K,1338,CLO,2715,GYE,2673,,0,319 2K,1338,GYE,2673,BOG,2709,,0,319 2K,1338,GYE,2673,CLO,2715,,0,319 2K,1338,GYE,2673,SCY,6045,,0,319 320 2K,1338,GYE,2673,UIO,2688,,0,320 319 2K,1338,OCC,2670,UIO,2688,,0,319 2K,1338,SCY,6045,GYE,2673,,0,319 320 2K,1338,UIO,2688,BOG,2709,,0,319 320 2K,1338,UIO,2688,GYE,2673,,0,319 2K,1338,UIO,2688,OCC,2670,,0,319 2L,2750,BDS,1506,ZRH,1678,,0,100 2L,2750,BOD,1264,ZRH,1678,,0,100 2L,2750,BRS,490,ZRH,1678,,0,100 2L,2750,GVA,1665,LPA,1054,,0,319 2L,2750,LCA,1197,ZRH,1678,,0,319 2L,2750,LPA,1054,ZRH,1678,,0,319 2L,2750,RMF,4197,ZRH,1678,,0,319 2L,2750,TFS,1056,GVA,1665,,0,319 2L,2750,ZRH,1678,BDS,1506,,0,100 2L,2750,ZRH,1678,BOD,1264,,0,100 2L,2750,ZRH,1678,BRS,490,,0,100 2L,2750,ZRH,1678,LCA,1197,,0,319 2L,2750,ZRH,1678,LPA,1054,,0,319 2L,2750,ZRH,1678,RMF,4197,,0,319 2N,3652,AJR,730,LYC,719,,0,ATP 2N,3652,ARN,737,GEV,715,,0,ATP 2N,3652,ARN,737,HAD,709,,0,SF3 2N,3652,ARN,737,JKG,688,,0,ATP SF3 2N,3652,ARN,737,KRF,718,,0,ATP 2N,3652,ARN,737,KSD,5595,,0,SF3 2N,3652,ARN,737,LYC,719,,0,ATP 2N,3652,ARN,737,MHQ,442,,0,SF3 2N,3652,ARN,737,OER,722,,0,ATR 2N,3652,ARN,737,POR,448,,0,SF3 2N,3652,ARN,737,TRF,664,,0,SF3 2N,3652,ARN,737,VBY,746,,0,SF3 ATP 2N,3652,ARN,737,VHM,729,,0,SF3 2N,3652,ARN,737,VXO,711,,0,SF3 2N,3652,GEV,715,ARN,737,,0,ATP 2N,3652,GEV,715,KRF,718,,0,ATP 2N,3652,HAD,709,ARN,737,,0,SF3 ATP 2N,3652,HAD,709,JKG,688,,0,ATP SF3 2N,3652,HAD,709,VXO,711,,0,SF3 2N,3652,HMV,5599,VHM,729,,0,SF3 2N,3652,JKG,688,ARN,737,,0,ATP SF3 2N,3652,JKG,688,HAD,709,,0,ATP SF3 2N,3652,KOK,435,POR,448,,0,SF3 2N,3652,KRF,718,ARN,737,,0,ATP 2N,3652,KRF,718,GEV,715,,0,ATP 2N,3652,KSD,5595,ARN,737,,0,SF3 2N,3652,LYC,719,AJR,730,,0,ATP 2N,3652,LYC,719,ARN,737,,0,ATP 2N,3652,MHQ,442,ARN,737,,0,SF3 2N,3652,MHQ,442,TKU,460,,0,SF3 2N,3652,OER,722,ARN,737,,0,ATR 2N,3652,OSL,644,VXO,711,,0,SF3 2N,3652,POR,448,ARN,737,,0,SF3 2N,3652,POR,448,KOK,435,,0,SF3 2N,3652,TKU,460,MHQ,442,,0,SF3 2N,3652,TRF,664,ARN,737,,0,SF3 2N,3652,VBY,746,ARN,737,,0,SF3 ATP 2N,3652,VHM,729,ARN,737,,0,SF3 2N,3652,VHM,729,HMV,5599,,0,SF3 2N,3652,VXO,711,ARN,737,,0,SF3 2N,3652,VXO,711,OSL,644,,0,SF3 2O,146,ADQ,3531,AOS,7167,,0,BNI 2O,146,ADQ,3531,KKB,7168,,0,BNI 2O,146,ADQ,3531,KLN,7162,,0,BNI 2O,146,ADQ,3531,KOZ,7164,,0,BNI 2O,146,ADQ,3531,OLH,7163,,0,BNI 2O,146,AOS,7167,KZB,7176,,0,BNI 2O,146,KKB,7168,SYB,7173,,0,BNI 2O,146,KLN,7162,KYK,7161,,0,BNI 2O,146,KOZ,7164,ORI,7165,,0,BNI 2O,146,SYB,7173,KPR,7172,,0,BNI 2P,897,BSO,6019,MNL,2397,,0,DH4 2P,897,BXU,4200,MNL,2397,,0,320 2P,897,CBO,2399,MNL,2397,,0,320 2P,897,CGY,2400,MNL,2397,,0,320 2P,897,CRM,6024,MNL,2397,,0,DH4 2P,897,DGT,2425,MNL,2397,,0,320 2P,897,DWC,8076,MNL,2397,,0,330 2P,897,GES,2402,MNL,2397,Y,0,320 2P,897,KLO,2430,MNL,2397,,0,320 2P,897,LGP,4203,MNL,2397,,0,320 2P,897,MNL,2397,BSO,6019,,0,DH4 2P,897,MNL,2397,BXU,4200,,0,320 2P,897,MNL,2397,CBO,2399,,0,320 2P,897,MNL,2397,CGY,2400,,0,320 2P,897,MNL,2397,CRM,6024,,0,DH4 2P,897,MNL,2397,DGT,2425,,0,320 2P,897,MNL,2397,DWC,8076,,0,330 2P,897,MNL,2397,GES,2402,Y,0,320 2P,897,MNL,2397,KLO,2430,,0,320 2P,897,MNL,2397,LGP,4203,,0,320 2P,897,MNL,2397,MPH,2426,,0,DH3 2P,897,MNL,2397,OZC,4204,,0,320 2P,897,MNL,2397,PPS,2433,,0,320 2P,897,MNL,2397,RXS,6026,,0,320 2P,897,MNL,2397,SUG,6016,,0,DH4 2P,897,MNL,2397,TUG,6021,,0,DH4 2P,897,MNL,2397,ZAM,2404,,0,320 2P,897,MPH,2426,MNL,2397,,0,DH3 2P,897,OZC,4204,MNL,2397,,0,320 2P,897,PPS,2433,MNL,2397,,0,320 2P,897,RXS,6026,MNL,2397,,0,320 2P,897,SUG,6016,MNL,2397,,0,DH4 2P,897,TUG,6021,MNL,2397,,0,DH4 2P,897,ZAM,2404,MNL,2397,,0,320 2Z,1729,AUX,7376,PMW,4214,,0,AT7 2Z,1729,BRA,7373,BSB,2531,,0,AT7 2Z,1729,BRA,7373,SSA,2621,,0,AT7 2Z,1729,BSB,2531,BRA,7373,,0,AT7 2Z,1729,BSB,2531,OPS,7367,,0,AT7 2Z,1729,BSB,2531,RAO,2613,,0,AT7 2Z,1729,CAC,2535,GRU,2564,,0,AT7 2Z,1729,CGB,2548,GYN,2562,,0,AT7 2Z,1729,CGB,2548,OPS,7367,,0,AT7 2Z,1729,CGR,2538,DOU,7380,,0,AT7 2Z,1729,DOU,7380,CGR,2538,,0,AT7 2Z,1729,DOU,7380,GRU,2564,,0,AT7 2Z,1729,GIG,2560,RAO,2613,,0,AT7 2Z,1729,GRU,2564,CAC,2535,,0,AT7 2Z,1729,GRU,2564,DOU,7380,,0,AT7 2Z,1729,GRU,2564,RAO,2613,,0,AT7 2Z,1729,GRU,2564,UBA,2635,,0,AT7 2Z,1729,GRU,2564,UDI,2633,,0,AT7 2Z,1729,GRU,2564,VDC,6039,,0,AT7 2Z,1729,GYN,2562,CGB,2548,,0,AT7 2Z,1729,GYN,2562,PMW,4214,,0,AT7 2Z,1729,GYN,2562,RAO,2613,,0,AT7 2Z,1729,GYN,2562,UDI,2633,,0,AT7 2Z,1729,OPS,7367,BSB,2531,,0,AT7 2Z,1729,OPS,7367,CGB,2548,,0,AT7 2Z,1729,PLU,2528,RAO,2613,,0,AT7 2Z,1729,PMW,4214,AUX,7376,,0,AT7 2Z,1729,PMW,4214,GYN,2562,,0,AT7 2Z,1729,RAO,2613,BSB,2531,,0,AT7 2Z,1729,RAO,2613,GIG,2560,,0,AT7 2Z,1729,RAO,2613,GRU,2564,,0,AT7 2Z,1729,RAO,2613,GYN,2562,,0,AT7 2Z,1729,RAO,2613,PLU,2528,,0,AT7 2Z,1729,RAO,2613,SJP,2619,,0,AT7 2Z,1729,RAO,2613,UDI,2633,,0,AT7 2Z,1729,SJP,2619,RAO,2613,,0,AT7 2Z,1729,SSA,2621,BRA,7373,,0,AT7 2Z,1729,SSA,2621,VDC,6039,,0,AT7 2Z,1729,UBA,2635,GRU,2564,,0,AT7 2Z,1729,UBA,2635,UDI,2633,,0,AT7 2Z,1729,UDI,2633,GRU,2564,,0,AT7 2Z,1729,UDI,2633,GYN,2562,,0,AT7 2Z,1729,UDI,2633,RAO,2613,,0,AT7 2Z,1729,UDI,2633,UBA,2635,,0,AT7 2Z,1729,VDC,6039,GRU,2564,,0,AT7 2Z,1729,VDC,6039,SSA,2621,,0,AT7 3E,10739,BRL,5726,ORD,3830,,0,CNC 3E,10739,BRL,5726,STL,3678,,0,CNC 3E,10739,DEC,4042,ORD,3830,,0,CNC 3E,10739,DEC,4042,STL,3678,,0,CNC 3E,10739,JBR,3591,STL,3678,,0,CNC 3E,10739,ORD,3830,BRL,5726,,0,CNC 3E,10739,ORD,3830,DEC,4042,,0,CNC 3E,10739,STL,3678,BRL,5726,,0,CNC 3E,10739,STL,3678,DEC,4042,,0,CNC 3E,10739,STL,3678,JBR,3591,,0,CNC 3F,16262,CGA,7144,HYL,7145,,0,DHP 3F,16262,CGA,7144,KTN,3808,,0,DHP 3F,16262,HYL,7145,CGA,7144,,0,DHP 3F,16262,HYL,7145,KTB,7147,,0,DHP 3F,16262,HYL,7145,KTN,3808,,0,DHP 3F,16262,KTB,7147,HYL,7145,,0,DHP 3F,16262,KTB,7147,KTN,3808,,0,DHP 3F,16262,KTN,3808,CGA,7144,,0,DHP 3F,16262,KTN,3808,HYL,7145,,0,DHP 3F,16262,KTN,3808,KTB,7147,,0,DHP 3F,16262,KTN,3808,MTM,7146,,0,DHP 3F,16262,MTM,7146,KTN,3808,,0,DHP 3G,595,ACC,248,DKR,1084,,0,319 3G,595,ACC,248,LOS,273,,0,319 3G,595,ACC,248,ROB,1063,,0,319 3G,595,BCN,1218,BJL,1050,,0,319 3G,595,BJL,1050,BCN,1218,,0,319 3G,595,BJL,1050,DKR,1084,,0,319 3G,595,BJL,1050,FNA,1059,,0,319 3G,595,CKY,4162,OXB,5665,,0,319 3G,595,DKR,1084,ACC,248,,0,319 3G,595,DKR,1084,BJL,1050,,0,319 3G,595,DKR,1084,DLA,897,,0,319 3G,595,DKR,1084,FNA,1059,,0,319 3G,595,DKR,1084,LOS,273,,0,319 3G,595,DKR,1084,OXB,5665,,0,319 3G,595,DLA,897,DKR,1084,,0,319 3G,595,DLA,897,LOS,273,,0,319 3G,595,FNA,1059,BJL,1050,,0,319 3G,595,FNA,1059,DKR,1084,,0,319 3G,595,FNA,1059,LGW,502,,0,319 3G,595,FNA,1059,ROB,1063,,0,319 3G,595,LGW,502,FNA,1059,,0,319 3G,595,LOS,273,ACC,248,,0,319 3G,595,LOS,273,DKR,1084,,0,319 3G,595,LOS,273,DLA,897,,0,319 3G,595,LOS,273,ROB,1063,,0,319 3G,595,OXB,5665,CKY,4162,,0,319 3G,595,OXB,5665,DKR,1084,,0,319 3G,595,ROB,1063,ACC,248,,0,319 3G,595,ROB,1063,FNA,1059,,0,319 3G,595,ROB,1063,LOS,273,,0,319 3H,\N,AKV,5506,YIK,5504,,0,DH8 3H,\N,AKV,5506,YPX,6727,,0,DH8 3H,\N,XGR,5512,YVP,154,,0,DHT BET 3H,\N,YGL,62,YGW,5496,,0,DHT 3H,\N,YGL,62,YPX,6727,,0,73M 3H,\N,YGL,62,YUL,146,,0,73M 3H,\N,YGW,5496,YGL,62,,0,DHT 3H,\N,YGW,5496,YPH,5520,,0,BET 3H,\N,YGW,5496,YSK,5529,,0,DH8 3H,\N,YGW,5496,YUD,5515,,0,DH8 3H,\N,YGW,5496,YUL,146,,0,DH8 3H,\N,YGW,5496,YUY,149,,0,DH8 3H,\N,YIK,5504,AKV,5506,,0,DH8 3H,\N,YIK,5504,YZG,5535,,0,DH8 3H,\N,YKG,5481,YPJ,5508,,0,DHT DH8 3H,\N,YKG,5481,YQC,5499,,0,DH8 3H,\N,YKG,5481,YVP,154,,0,DH8 DHT 3H,\N,YKL,80,YQB,111,,0,DH8 3H,\N,YKL,80,YVP,154,,0,DH8 BET 3H,\N,YKL,80,YWK,161,,0,BET 3H,\N,YKL,80,YZV,202,,0,BET DH8 3H,\N,YPH,5520,YPX,6727,,0,DH8 BET 3H,\N,YPH,5520,YUD,5515,,0,DH8 3H,\N,YPH,5520,YVP,154,,0,BET 3H,\N,YPJ,5508,YKG,5481,,0,DHT DH8 3H,\N,YPJ,5508,YTQ,6728,,0,DHT DH8 3H,\N,YPJ,5508,YVP,154,,0,DHT 3H,\N,YPX,6727,AKV,5506,,0,DH8 3H,\N,YPX,6727,YGL,62,,0,73M 3H,\N,YPX,6727,YPH,5520,,0,DH8 3H,\N,YPX,6727,YVP,154,,0,BET 3H,\N,YQB,111,YKL,80,,0,DH8 3H,\N,YQB,111,YUL,146,,0,DH8 3H,\N,YQC,5499,YKG,5481,,0,DH8 3H,\N,YQC,5499,YWB,7253,,0,DH8 3H,\N,YSK,5529,YGW,5496,,0,DH8 3H,\N,YSK,5529,YUD,5515,,0,DH8 3H,\N,YTQ,6728,YPJ,5508,,0,DHT DH8 3H,\N,YTQ,6728,YVP,154,,0,DHT DH8 3H,\N,YUD,5515,YGW,5496,,0,DH8 3H,\N,YUD,5515,YPH,5520,,0,DH8 3H,\N,YUD,5515,YSK,5529,,0,DH8 3H,\N,YUL,146,YGL,62,,0,73M 3H,\N,YUL,146,YGW,5496,,0,DH8 3H,\N,YUL,146,YQB,111,,0,DH8 3H,\N,YUL,146,YUY,149,,0,DH8 3H,\N,YUY,149,YGW,5496,,0,DH8 3H,\N,YUY,149,YUL,146,,0,DH8 3H,\N,YVP,154,XGR,5512,,0,DHT BET 3H,\N,YVP,154,YGW,5496,,0,BET 3H,\N,YVP,154,YKG,5481,,0,DH8 3H,\N,YVP,154,YKL,80,,0,DH8 BET 3H,\N,YVP,154,YPH,5520,,0,BET 3H,\N,YVP,154,YPJ,5508,,0,DHT 3H,\N,YVP,154,YPX,6727,,0,BET 3H,\N,YVP,154,YTQ,6728,,0,DHT DH8 3H,\N,YWB,7253,YQC,5499,,0,DH8 3H,\N,YWB,7253,YZG,5535,,0,DH8 3H,\N,YWK,161,YKL,80,,0,BET 3H,\N,YWK,161,YZV,202,,0,BET 3H,\N,YZG,5535,YIK,5504,,0,DH8 3H,\N,YZG,5535,YWB,7253,,0,DH8 3H,\N,YZV,202,YKL,80,,0,BET DH8 3H,\N,YZV,202,YWK,161,,0,BET 3J,5521,JIB,4119,DXB,2188,,0,737 3J,5521,JIB,4119,JED,2072,,0,737 3J,5521,JIB,4119,MGQ,5687,,0,737 3J,5521,MGQ,5687,NBO,4059,,0,737 3J,5521,NBO,4059,MGQ,5687,,0,737 3K,3021,BKK,3885,SIN,3316,,0,320 3K,3021,DRW,3999,SIN,3316,,0,320 3K,3021,HAK,4120,SIN,3316,,0,320 3K,3021,HGH,3386,SIN,3316,,0,320 3K,3021,HKG,3077,SIN,3316,,0,320 3K,3021,HKT,3179,SIN,3316,,0,320 3K,3021,KIX,3992,MNL,2397,,0,320 3K,3021,KIX,3992,TPE,2276,,0,320 3K,3021,KUL,3304,SIN,3316,,0,320 3K,3021,MNL,2397,KIX,3992,,0,320 3K,3021,MNL,2397,SIN,3316,,0,320 3K,3021,PEN,3308,SIN,3316,,0,320 3K,3021,PER,3351,SIN,3316,,0,320 3K,3021,PNH,3034,SIN,3316,,0,320 3K,3021,REP,3035,SIN,3316,,0,320 3K,3021,RGN,3239,SIN,3316,,0,320 3K,3021,SGN,3205,SIN,3316,,0,320 3K,3021,SIN,3316,BKK,3885,,0,320 3K,3021,SIN,3316,DRW,3999,,0,320 3K,3021,SIN,3316,HAK,4120,,0,320 3K,3021,SIN,3316,HGH,3386,,0,320 3K,3021,SIN,3316,HKG,3077,,0,320 3K,3021,SIN,3316,HKT,3179,,0,320 3K,3021,SIN,3316,KUL,3304,,0,320 3K,3021,SIN,3316,MNL,2397,,0,320 3K,3021,SIN,3316,PEN,3308,,0,320 3K,3021,SIN,3316,PER,3351,,0,320 3K,3021,SIN,3316,PNH,3034,,0,320 3K,3021,SIN,3316,REP,3035,,0,320 3K,3021,SIN,3316,RGN,3239,,0,320 3K,3021,SIN,3316,SGN,3205,,0,320 3K,3021,SIN,3316,SWA,4302,,0,320 3K,3021,SIN,3316,TPE,2276,,0,320 3K,3021,SWA,4302,SIN,3316,,0,320 3K,3021,TPE,2276,KIX,3992,,0,320 3K,3021,TPE,2276,SIN,3316,,0,320 3L,2916,ACH,1679,EBA,1558,,0,DH3 3L,2916,DRS,338,ZRH,1678,,0,DH3 3L,2916,DUS,345,FDH,382,,0,DH3 3L,2916,EBA,1558,ACH,1679,,0,DH3 3L,2916,EBA,1558,FDH,382,,0,DH3 3L,2916,EBA,1558,MUC,346,,0,DH3 3L,2916,EBA,1558,ZRH,1678,,0,DH3 3L,2916,FDH,382,DUS,345,,0,DH3 3L,2916,FDH,382,EBA,1558,,0,DH3 3L,2916,FDH,382,HAM,342,,0,AT7 3L,2916,FDH,382,OLB,1520,,0,AT7 3L,2916,FDH,382,TXL,351,,0,AT7 3L,2916,FDH,382,ZAD,1209,,0,AT7 3L,2916,FMM,3986,NAP,1561,,0,AT7 3L,2916,GRZ,1609,ZRH,1678,,0,DH3 3L,2916,HAM,342,FDH,382,,0,AT7 3L,2916,MUC,346,EBA,1558,,0,DH3 3L,2916,NAP,1561,FMM,3986,,0,AT7 3L,2916,OLB,1520,FDH,382,,0,AT7 3L,2916,SZG,1612,ZRH,1678,,0,DH3 3L,2916,TXL,351,FDH,382,,0,AT7 3L,2916,ZAD,1209,FDH,382,,0,AT7 3L,2916,ZRH,1678,DRS,338,,0,DH3 3L,2916,ZRH,1678,EBA,1558,,0,DH3 3L,2916,ZRH,1678,GRZ,1609,,0,DH3 3L,2916,ZRH,1678,SZG,1612,,0,DH3 3M,20710,ATL,3682,LWB,6958,,0,SF3 3M,20710,ATL,3682,MCN,3754,,0,SF3 3M,20710,ATL,3682,MEI,4335,,0,SF3 3M,20710,ATL,3682,MSL,5756,,0,SF3 3M,20710,ATL,3682,PIB,5759,,0,SF3 3M,20710,ATL,3682,TUP,5773,,0,SF3 3M,20710,BIM,1937,FLL,3533,,0,SF3 3M,20710,ELH,1943,FLL,3533,,0,SF3 3M,20710,ELH,1943,PBI,3722,,0,SF3 3M,20710,EYW,3875,FLL,3533,,0,SF3 3M,20710,EYW,3875,RSW,3793,,0,SF3 3M,20710,EYW,3875,TPA,3646,,0,SF3 3M,20710,FLL,3533,BIM,1937,,0,SF3 3M,20710,FLL,3533,ELH,1943,,0,SF3 3M,20710,FLL,3533,EYW,3875,,0,SF3 3M,20710,FLL,3533,FPO,1948,,0,SF3 3M,20710,FLL,3533,GGT,1941,,0,SF3 3M,20710,FLL,3533,GHB,1944,,0,SF3 3M,20710,FLL,3533,MCO,3878,,0,SF3 3M,20710,FLL,3533,MHH,1930,,0,SF3 3M,20710,FLL,3533,TCB,1934,,0,SF3 3M,20710,FLL,3533,TPA,3646,,0,SF3 3M,20710,FPO,1948,FLL,3533,,0,SF3 3M,20710,GGT,1941,FLL,3533,,0,SF3 3M,20710,GGT,1941,GHB,1944,,0,SF3 3M,20710,GHB,1944,FLL,3533,,0,SF3 3M,20710,GLH,6130,TUP,5773,,0,SF3 3M,20710,GNV,3472,MCO,3878,,0,SF3 3M,20710,GNV,3472,TPA,3646,,0,SF3 3M,20710,JAX,3712,MHH,1930,,0,SF3 3M,20710,JAX,3712,TPA,3646,,0,SF3 3M,20710,LWB,6958,ATL,3682,,0,SF3 3M,20710,MCN,3754,ATL,3682,,0,SF3 3M,20710,MCN,3754,MCO,3878,,0,SF3 3M,20710,MCO,3878,FLL,3533,,0,SF3 3M,20710,MCO,3878,GNV,3472,,0,SF3 3M,20710,MCO,3878,MCN,3754,,0,SF3 3M,20710,MCO,3878,MHH,1930,,0,SF3 3M,20710,MCO,3878,PNS,3564,,0,SF3 3M,20710,MCO,3878,RSW,3793,,0,SF3 3M,20710,MCO,3878,TLH,3698,,0,SF3 3M,20710,MEI,4335,ATL,3682,,0,SF3 3M,20710,MHH,1930,FLL,3533,,0,SF3 3M,20710,MHH,1930,JAX,3712,,0,SF3 3M,20710,MHH,1930,MCO,3878,,0,SF3 3M,20710,MHH,1930,PBI,3722,,0,SF3 3M,20710,MSL,5756,ATL,3682,,0,SF3 3M,20710,PBI,3722,ELH,1943,,0,SF3 3M,20710,PBI,3722,MHH,1930,,0,SF3 3M,20710,PBI,3722,TPA,3646,,0,SF3 3M,20710,PIB,5759,ATL,3682,,0,SF3 3M,20710,PNS,3564,MCO,3878,,0,SF3 3M,20710,PNS,3564,TPA,3646,,0,SF3 3M,20710,RSW,3793,EYW,3875,,0,SF3 3M,20710,RSW,3793,MCO,3878,,0,SF3 3M,20710,TCB,1934,FLL,3533,,0,SF3 3M,20710,TLH,3698,MCO,3878,,0,SF3 3M,20710,TLH,3698,TPA,3646,,0,SF3 3M,20710,TPA,3646,EYW,3875,,0,SF3 3M,20710,TPA,3646,FLL,3533,,0,SF3 3M,20710,TPA,3646,GNV,3472,,0,SF3 3M,20710,TPA,3646,JAX,3712,,0,SF3 3M,20710,TPA,3646,PBI,3722,,0,SF3 3M,20710,TPA,3646,PNS,3564,,0,SF3 3M,20710,TPA,3646,TLH,3698,,0,SF3 3M,20710,TUP,5773,ATL,3682,,0,SF3 3M,20710,TUP,5773,GLH,6130,,0,SF3 3O,9818,AMS,580,NDR,5673,,0,320 3O,9818,AMS,580,TNG,1080,,0,320 3O,9818,BCN,1218,CMN,1074,,0,320 3O,9818,BCN,1218,NDR,5673,,0,320 3O,9818,BCN,1218,TNG,1080,,0,320 3O,9818,BGY,1525,CMN,1074,,0,320 3O,9818,BLQ,1538,CMN,1074,,0,320 3O,9818,BRU,302,CMN,1074,,0,320 3O,9818,BRU,302,NDR,5673,,0,320 3O,9818,BRU,302,TNG,1080,,0,320 3O,9818,CGN,344,NDR,5673,,0,320 3O,9818,CMN,1074,BCN,1218,,0,320 3O,9818,CMN,1074,BGY,1525,,0,320 3O,9818,CMN,1074,BLQ,1538,,0,320 3O,9818,CMN,1074,BRU,302,,0,320 3O,9818,CMN,1074,CUF,1534,,0,320 3O,9818,CMN,1074,LGW,502,,0,320 3O,9818,CMN,1074,LYS,1335,,0,320 3O,9818,CMN,1074,MPL,1359,,0,320 3O,9818,CMN,1074,SAW,4317,,0,320 3O,9818,CMN,1074,TLS,1273,,0,320 3O,9818,CMN,1074,TSF,1539,,0,320 3O,9818,CUF,1534,CMN,1074,,0,320 3O,9818,FEZ,1066,MPL,1359,,0,320 3O,9818,LGW,502,CMN,1074,,0,320 3O,9818,LGW,502,TNG,1080,,0,320 3O,9818,LYS,1335,CMN,1074,,0,320 3O,9818,MPL,1359,CMN,1074,,0,320 3O,9818,MPL,1359,FEZ,1066,,0,320 3O,9818,MPL,1359,NDR,5673,,0,320 3O,9818,NDR,5673,AMS,580,,0,320 3O,9818,NDR,5673,BCN,1218,,0,320 3O,9818,NDR,5673,BRU,302,,0,320 3O,9818,NDR,5673,CGN,344,,0,320 3O,9818,NDR,5673,MPL,1359,,0,320 3O,9818,NDR,5673,PMI,3998,,0,320 3O,9818,PMI,3998,NDR,5673,,0,320 3O,9818,SAW,4317,CMN,1074,,0,320 3O,9818,TLS,1273,CMN,1074,,0,320 3O,9818,TNG,1080,AMS,580,,0,320 3O,9818,TNG,1080,BCN,1218,,0,320 3O,9818,TNG,1080,BRU,302,,0,320 3O,9818,TNG,1080,LGW,502,,0,320 3O,9818,TSF,1539,CMN,1074,,0,320 3P,5002,AUA,2895,LSP,2844,,0,SH6 3P,5002,AUA,2895,MAR,2848,,0,SH6 3P,5002,BON,2896,CUR,2897,,0,SH6 3P,5002,CUR,2897,AUA,2895,,0,SH6 3P,5002,LSP,2844,AUA,2895,,0,SH6 3P,5002,MAR,2848,AUA,2895,,0,SH6 3R,3545,ASF,2966,DME,4029,,0,SU9 3R,3545,ASF,2966,LED,2948,,0,SU9 3R,3545,BHK,2980,DME,4029,,0,734 3R,3545,DME,4029,ASF,2966,,0,SU9 3R,3545,DME,4029,BHK,2980,,0,734 3R,3545,DME,4029,EGO,6156,,0,SU9 3R,3545,DME,4029,FEG,6149,,0,734 3R,3545,DME,4029,KSQ,6153,,0,734 3R,3545,DME,4029,NMA,6150,,0,734 3R,3545,DME,4029,NVI,6485,,0,734 3R,3545,DME,4029,SKD,2981,,0,734 3R,3545,DME,4029,TIV,1743,,0,SU9 73G 3R,3545,EGO,6156,DME,4029,,0,SU9 3R,3545,FEG,6149,DME,4029,,0,734 3R,3545,KSQ,6153,DME,4029,,0,734 3R,3545,LED,2948,ASF,2966,,0,SU9 3R,3545,NMA,6150,DME,4029,,0,734 3R,3545,NVI,6485,DME,4029,,0,734 3R,3545,SKD,2981,DME,4029,,0,734 3R,3545,TIV,1743,DME,4029,,0,SU9 73G 3S,11741,ANU,2874,PTP,2881,,0,AT5 3S,11741,CAY,2774,FDF,2878,,0,320 3S,11741,CUR,2897,SDQ,1762,,0,AT5 3S,11741,DOM,2877,PTP,2881,,0,AT5 3S,11741,DOM,2877,SXM,2899,,0,AT5 3S,11741,FDF,2878,CAY,2774,,0,320 3S,11741,FDF,2878,PTP,2881,,0,AT5 320 3S,11741,FDF,2878,SDQ,1762,,0,AT5 3S,11741,FDF,2878,SLU,2893,,0,AT5 3S,11741,PTP,2881,ANU,2874,,0,AT5 3S,11741,PTP,2881,DOM,2877,,0,AT5 3S,11741,PTP,2881,FDF,2878,,0,AT5 320 3S,11741,PTP,2881,SBH,6460,,0,DHT 3S,11741,PTP,2881,SDQ,1762,,0,AT5 3S,11741,PTP,2881,SFG,2879,,0,AT5 3S,11741,PTP,2881,SXM,2899,,0,AT5 3S,11741,SBH,6460,PTP,2881,,0,DHT 3S,11741,SDQ,1762,PTP,2881,,0,AT5 3S,11741,SDQ,1762,SXM,2899,,0,AT5 3S,11741,SFG,2879,PTP,2881,,0,AT5 3S,11741,SLU,2893,FDF,2878,,0,AT5 3S,11741,SXM,2899,DOM,2877,,0,AT5 3S,11741,SXM,2899,PTP,2881,,0,AT5 3S,11741,SXM,2899,SDQ,1762,,0,AT5 3U,4608,BHY,6351,XIY,3379,,0,321 3U,4608,CAN,3370,CKG,3393,,0,321 320 3U,4608,CAN,3370,CTU,3395,,0,321 320 330 3U,4608,CAN,3370,SPN,2244,,0,330 3U,4608,CGO,3375,CGQ,4380,,0,321 3U,4608,CGO,3375,CKG,3393,,0,321 3U,4608,CGO,3375,CTU,3395,,0,321 3U,4608,CGO,3375,HGH,3386,,0,320 3U,4608,CGO,3375,HRB,3400,,0,320 3U,4608,CGO,3375,KMG,3382,,0,320 3U,4608,CGO,3375,URC,3399,,0,320 3U,4608,CGQ,4380,CGO,3375,,0,321 3U,4608,CGQ,4380,NKG,3388,,0,320 3U,4608,CGQ,4380,TNA,4108,,0,321 3U,4608,CGQ,4380,TSN,3368,,0,320 319 3U,4608,CKG,3393,CAN,3370,,0,321 320 3U,4608,CKG,3393,CGO,3375,,0,321 3U,4608,CKG,3393,CSX,3371,,0,319 321 3U,4608,CKG,3393,CTU,3395,,0,330 3U,4608,CKG,3393,CZX,4109,,0,320 3U,4608,CKG,3393,DLC,3404,,0,320 3U,4608,CKG,3393,DYG,6353,,0,320 3U,4608,CKG,3393,HAK,4120,,0,319 3U,4608,CKG,3393,HGH,3386,,0,320 319 3U,4608,CKG,3393,HKT,3179,,0,321 3U,4608,CKG,3393,INC,4085,,0,321 3U,4608,CKG,3393,KHN,3384,,0,319 3U,4608,CKG,3393,KMG,3382,,0,319 320 3U,4608,CKG,3393,LHW,3378,,0,319 321 3U,4608,CKG,3393,LJG,4033,,0,319 3U,4608,CKG,3393,LXA,4097,,0,319 3U,4608,CKG,3393,NGB,3387,,0,319 3U,4608,CKG,3393,NKG,3388,,0,319 3U,4608,CKG,3393,NNG,3373,,0,319 3U,4608,CKG,3393,PEK,3364,,0,321 319 320 3U,4608,CKG,3393,PVG,3406,,0,320 319 3U,4608,CKG,3393,PZI,6435,,0,319 3U,4608,CKG,3393,SWA,4302,,0,319 3U,4608,CKG,3393,SYD,3361,,0,330 3U,4608,CKG,3393,SYX,4030,,0,320 3U,4608,CKG,3393,SZX,3374,,0,320 3U,4608,CKG,3393,TNA,4108,,0,321 3U,4608,CKG,3393,TSA,2275,,0,320 3U,4608,CKG,3393,TSN,3368,,0,319 3U,4608,CKG,3393,TYN,3369,,0,321 3U,4608,CKG,3393,URC,3399,,0,320 3U,4608,CKG,3393,WUH,3376,,0,319 3U,4608,CKG,3393,WUX,6390,,0,319 3U,4608,CKG,3393,XIY,3379,,0,319 3U,4608,CKG,3393,XNN,6366,,0,320 3U,4608,CKG,3393,YIH,6361,,0,319 3U,4608,CKG,3393,ZHA,6357,,0,319 3U,4608,CSX,3371,CKG,3393,,0,319 321 3U,4608,CSX,3371,CTU,3395,,0,320 3U,4608,CSX,3371,FOC,3385,,0,320 3U,4608,CSX,3371,KMG,3382,,0,320 3U,4608,CSX,3371,SHE,4144,,0,320 3U,4608,CSX,3371,WNZ,6392,,0,319 3U,4608,CSX,3371,XMN,3383,,0,321 3U,4608,CTU,3395,CAN,3370,,0,321 320 330 3U,4608,CTU,3395,CGO,3375,,0,321 3U,4608,CTU,3395,CKG,3393,,0,330 3U,4608,CTU,3395,CSX,3371,,0,320 3U,4608,CTU,3395,DCY,9310,,0,319 3U,4608,CTU,3395,DSN,6434,,0,319 3U,4608,CTU,3395,HAK,4120,,0,321 3U,4608,CTU,3395,HDG,8407,,0,319 3U,4608,CTU,3395,HET,6345,,0,320 3U,4608,CTU,3395,HFE,3389,,0,321 3U,4608,CTU,3395,HGH,3386,,0,320 319 3U,4608,CTU,3395,HKG,3077,,0,320 3U,4608,CTU,3395,HKT,3179,,0,321 3U,4608,CTU,3395,ICN,3930,,0,321 3U,4608,CTU,3395,INC,4085,,0,321 3U,4608,CTU,3395,JHG,3381,,0,319 3U,4608,CTU,3395,JIQ,8781,,0,320 3U,4608,CTU,3395,JZH,4301,,0,319 3U,4608,CTU,3395,KHN,3384,,0,321 3U,4608,CTU,3395,KMG,3382,,0,320 3U,4608,CTU,3395,KOW,6379,,0,320 3U,4608,CTU,3395,KWE,3394,,0,320 3U,4608,CTU,3395,LHW,3378,,0,319 3U,4608,CTU,3395,LJG,4033,,0,319 3U,4608,CTU,3395,LUM,6376,,0,319 3U,4608,CTU,3395,LXA,4097,,0,330 319 3U,4608,CTU,3395,LZY,6402,,0,319 3U,4608,CTU,3395,MEL,3339,,0,330 3U,4608,CTU,3395,NKG,3388,,0,319 320 3U,4608,CTU,3395,NNG,3373,,0,319 320 3U,4608,CTU,3395,PEK,3364,,0,330 321 320 3U,4608,CTU,3395,PVG,3406,,0,321 330 3U,4608,CTU,3395,PZI,6435,,0,319 3U,4608,CTU,3395,SHE,4144,,0,330 3U,4608,CTU,3395,SJW,6347,,0,320 3U,4608,CTU,3395,SYX,4030,,0,321 3U,4608,CTU,3395,SZX,3374,,0,320 321 3U,4608,CTU,3395,TAO,3390,,0,321 3U,4608,CTU,3395,TNA,4108,,0,321 3U,4608,CTU,3395,TSA,2275,,0,320 3U,4608,CTU,3395,TSN,3368,,0,321 3U,4608,CTU,3395,TYN,3369,,0,319 3U,4608,CTU,3395,URC,3399,,0,319 330 3U,4608,CTU,3395,WNZ,6392,,0,320 3U,4608,CTU,3395,WUH,3376,,0,319 3U,4608,CTU,3395,WUX,6390,,0,320 3U,4608,CTU,3395,WXN,6403,,0,319 3U,4608,CTU,3395,XIC,3396,,0,320 3U,4608,CTU,3395,XIY,3379,,0,320 319 3U,4608,CTU,3395,XMN,3383,,0,320 3U,4608,CTU,3395,XNN,6366,,0,320 3U,4608,CTU,3395,XUZ,4149,,0,320 3U,4608,CTU,3395,YIH,6361,,0,320 3U,4608,CTU,3395,YTY,8876,,0,319 3U,4608,CZX,4109,CKG,3393,,0,320 3U,4608,CZX,4109,HRB,3400,,0,321 3U,4608,CZX,4109,XMN,3383,,0,321 3U,4608,CZX,4109,ZUH,6355,,0,320 3U,4608,DAT,6344,TYN,3369,,0,319 3U,4608,DCY,9310,CTU,3395,,0,319 3U,4608,DLC,3404,CKG,3393,,0,320 3U,4608,DLC,3404,HGH,3386,,0,320 3U,4608,DLC,3404,HRB,3400,,0,320 3U,4608,DLC,3404,TNA,4108,,0,321 3U,4608,DLC,3404,XUZ,4149,,0,320 3U,4608,DNH,4308,LHW,3378,,0,319 3U,4608,DSN,6434,CTU,3395,,0,319 3U,4608,DSN,6434,SHE,4144,,0,319 3U,4608,DYG,6353,CKG,3393,,0,320 3U,4608,DYG,6353,NKG,3388,,0,319 3U,4608,FOC,3385,CSX,3371,,0,320 3U,4608,FOC,3385,XIY,3379,,0,319 3U,4608,GXH,9311,LXA,4097,,0,319 3U,4608,GXH,9311,XIY,3379,,0,319 3U,4608,HAK,4120,CKG,3393,,0,319 3U,4608,HAK,4120,CTU,3395,,0,321 3U,4608,HAK,4120,HGH,3386,,0,320 3U,4608,HAK,4120,NGB,3387,,0,321 3U,4608,HAK,4120,ZUH,6355,,0,320 3U,4608,HDG,8407,CTU,3395,,0,319 3U,4608,HET,6345,CTU,3395,,0,320 3U,4608,HFE,3389,CTU,3395,,0,321 3U,4608,HGH,3386,CGO,3375,,0,320 3U,4608,HGH,3386,CKG,3393,,0,320 319 3U,4608,HGH,3386,CTU,3395,,0,319 320 3U,4608,HGH,3386,DLC,3404,,0,320 3U,4608,HGH,3386,HAK,4120,,0,320 3U,4608,HGH,3386,KWE,3394,,0,320 3U,4608,HGH,3386,TSN,3368,,0,320 3U,4608,HGH,3386,TYN,3369,,0,320 3U,4608,HKG,3077,CTU,3395,,0,320 3U,4608,HKG,3077,YIH,6361,,0,320 3U,4608,HKG,3077,ZHA,6357,,0,319 3U,4608,HKT,3179,CKG,3393,,0,321 3U,4608,HKT,3179,CTU,3395,,0,321 3U,4608,HRB,3400,CGO,3375,,0,320 3U,4608,HRB,3400,CZX,4109,,0,321 3U,4608,HRB,3400,DLC,3404,,0,320 3U,4608,HRB,3400,INC,4085,,0,321 3U,4608,HRB,3400,NGB,3387,,0,321 3U,4608,HRB,3400,NKG,3388,,0,319 3U,4608,HRB,3400,NZH,6954,,0,321 3U,4608,HRB,3400,SJW,6347,,0,321 3U,4608,HRB,3400,TNA,4108,,0,320 321 3U,4608,HRB,3400,TSN,3368,,0,321 3U,4608,HRB,3400,WNZ,6392,,0,321 3U,4608,HRB,3400,WUH,3376,,0,321 3U,4608,HRB,3400,XIY,3379,,0,321 3U,4608,HRB,3400,XUZ,4149,,0,320 321 3U,4608,ICN,3930,CTU,3395,,0,321 3U,4608,INC,4085,CKG,3393,,0,321 3U,4608,INC,4085,CTU,3395,,0,321 3U,4608,INC,4085,HRB,3400,,0,321 3U,4608,INC,4085,KWL,3372,,0,320 3U,4608,JGN,6432,LHW,3378,,0,319 3U,4608,JHG,3381,CTU,3395,,0,319 3U,4608,JHG,3381,KMG,3382,,0,319 3U,4608,JIQ,8781,CTU,3395,,0,320 3U,4608,JJN,6386,KWE,3394,,0,320 3U,4608,JJN,6386,WUH,3376,,0,319 3U,4608,JZH,4301,CTU,3395,,0,319 3U,4608,KHG,3397,URC,3399,,0,319 3U,4608,KHN,3384,CKG,3393,,0,319 3U,4608,KHN,3384,CTU,3395,,0,321 3U,4608,KHN,3384,KMG,3382,,0,319 3U,4608,KHN,3384,NGB,3387,,0,321 3U,4608,KMG,3382,CGO,3375,,0,320 3U,4608,KMG,3382,CKG,3393,,0,319 320 3U,4608,KMG,3382,CSX,3371,,0,320 3U,4608,KMG,3382,CTU,3395,,0,320 3U,4608,KMG,3382,JHG,3381,,0,319 3U,4608,KMG,3382,KHN,3384,,0,319 3U,4608,KMG,3382,KWE,3394,,0,320 3U,4608,KMG,3382,LUM,6376,,0,319 3U,4608,KMG,3382,NGB,3387,,0,320 3U,4608,KMG,3382,NKG,3388,,0,320 3U,4608,KMG,3382,TAO,3390,,0,320 3U,4608,KMG,3382,TNA,4108,,0,320 3U,4608,KMG,3382,TPE,2276,,0,320 3U,4608,KMG,3382,WXN,6403,,0,320 3U,4608,KMG,3382,XIY,3379,,0,320 3U,4608,KMG,3382,XMN,3383,,0,320 3U,4608,KMG,3382,XUZ,4149,,0,320 3U,4608,KOW,6379,CTU,3395,,0,320 3U,4608,KOW,6379,XMN,3383,,0,320 3U,4608,KWE,3394,CTU,3395,,0,320 3U,4608,KWE,3394,HGH,3386,,0,320 3U,4608,KWE,3394,JJN,6386,,0,320 3U,4608,KWE,3394,KMG,3382,,0,320 3U,4608,KWE,3394,LHW,3378,,0,321 3U,4608,KWE,3394,SYX,4030,,0,321 3U,4608,KWE,3394,WNZ,6392,,0,320 3U,4608,KWE,3394,XUZ,4149,,0,321 3U,4608,KWL,3372,INC,4085,,0,320 3U,4608,KWL,3372,SJW,6347,,0,321 3U,4608,KWL,3372,SYX,4030,,0,320 3U,4608,LHW,3378,CKG,3393,,0,319 321 3U,4608,LHW,3378,CTU,3395,,0,319 3U,4608,LHW,3378,DNH,4308,,0,319 3U,4608,LHW,3378,JGN,6432,,0,319 3U,4608,LHW,3378,KWE,3394,,0,321 3U,4608,LHW,3378,TSN,3368,,0,321 3U,4608,LJG,4033,CKG,3393,,0,319 3U,4608,LJG,4033,CTU,3395,,0,319 3U,4608,LJG,4033,MIG,6400,,0,319 3U,4608,LUM,6376,CTU,3395,,0,319 3U,4608,LUM,6376,KMG,3382,,0,319 3U,4608,LXA,4097,CKG,3393,,0,319 3U,4608,LXA,4097,CTU,3395,,0,330 319 3U,4608,LXA,4097,GXH,9311,,0,319 3U,4608,LXA,4097,XIY,3379,,0,319 3U,4608,LXA,4097,XNN,6366,,0,319 3U,4608,LYI,6385,XIY,3379,,0,319 320 3U,4608,LZY,6402,CTU,3395,,0,319 3U,4608,MEL,3339,CTU,3395,,0,330 3U,4608,MIG,6400,LJG,4033,,0,319 3U,4608,MIG,6400,NKG,3388,,0,319 3U,4608,MIG,6400,SYX,4030,,0,320 3U,4608,MIG,6400,XNN,6366,,0,320 3U,4608,NGB,3387,CKG,3393,,0,319 3U,4608,NGB,3387,HAK,4120,,0,321 3U,4608,NGB,3387,HRB,3400,,0,321 3U,4608,NGB,3387,KHN,3384,,0,321 3U,4608,NGB,3387,KMG,3382,,0,320 3U,4608,NGB,3387,SHE,4144,,0,321 3U,4608,NGB,3387,SYX,4030,,0,321 3U,4608,NKG,3388,CGQ,4380,,0,320 3U,4608,NKG,3388,CKG,3393,,0,319 3U,4608,NKG,3388,CTU,3395,,0,319 320 3U,4608,NKG,3388,DYG,6353,,0,319 3U,4608,NKG,3388,HRB,3400,,0,319 3U,4608,NKG,3388,KMG,3382,,0,320 3U,4608,NKG,3388,MIG,6400,,0,319 3U,4608,NKG,3388,SYX,4030,,0,320 3U,4608,NNG,3373,CKG,3393,,0,319 3U,4608,NNG,3373,CTU,3395,,0,319 320 3U,4608,NNG,3373,SGN,3205,,0,320 3U,4608,NNG,3373,WUH,3376,,0,321 3U,4608,NTG,5475,WUH,3376,,0,319 3U,4608,NZH,6954,HRB,3400,,0,321 3U,4608,PEK,3364,CKG,3393,,0,319 321 320 3U,4608,PEK,3364,CTU,3395,,0,321 320 330 3U,4608,PEK,3364,WXN,6403,,0,320 3U,4608,PEK,3364,ZHY,8043,,0,320 3U,4608,PVG,3406,CKG,3393,,0,320 319 3U,4608,PVG,3406,CTU,3395,,0,330 321 3U,4608,PVG,3406,SPN,2244,,0,330 3U,4608,PZI,6435,CKG,3393,,0,319 3U,4608,PZI,6435,CTU,3395,,0,319 3U,4608,SGN,3205,NNG,3373,,0,320 3U,4608,SHE,4144,CSX,3371,,0,320 3U,4608,SHE,4144,CTU,3395,,0,330 3U,4608,SHE,4144,DSN,6434,,0,319 3U,4608,SHE,4144,NGB,3387,,0,321 3U,4608,SHE,4144,TYN,3369,,0,321 3U,4608,SHE,4144,XUZ,4149,,0,320 3U,4608,SHE,4144,YVR,156,,0,330 3U,4608,SJW,6347,CTU,3395,,0,320 3U,4608,SJW,6347,HRB,3400,,0,321 3U,4608,SJW,6347,KWL,3372,,0,321 3U,4608,SPN,2244,CAN,3370,,0,330 3U,4608,SPN,2244,PVG,3406,,0,330 3U,4608,SWA,4302,CKG,3393,,0,319 3U,4608,SYD,3361,CKG,3393,,0,330 3U,4608,SYX,4030,CKG,3393,,0,320 3U,4608,SYX,4030,CTU,3395,,0,321 3U,4608,SYX,4030,KWE,3394,,0,321 3U,4608,SYX,4030,KWL,3372,,0,320 3U,4608,SYX,4030,MIG,6400,,0,320 3U,4608,SYX,4030,NGB,3387,,0,321 3U,4608,SYX,4030,NKG,3388,,0,320 3U,4608,SYX,4030,TNA,4108,,0,321 3U,4608,SYX,4030,WNZ,6392,,0,321 3U,4608,SYX,4030,YBP,4110,,0,319 3U,4608,SZX,3374,CKG,3393,,0,320 3U,4608,SZX,3374,CTU,3395,,0,320 321 3U,4608,SZX,3374,WXN,6403,,0,319 3U,4608,TAO,3390,CTU,3395,,0,321 3U,4608,TAO,3390,KMG,3382,,0,320 3U,4608,TNA,4108,CGQ,4380,,0,321 3U,4608,TNA,4108,CKG,3393,,0,321 3U,4608,TNA,4108,CTU,3395,,0,321 3U,4608,TNA,4108,DLC,3404,,0,321 3U,4608,TNA,4108,HRB,3400,,0,320 321 3U,4608,TNA,4108,KMG,3382,,0,320 3U,4608,TNA,4108,SYX,4030,,0,321 3U,4608,TNA,4108,XIY,3379,,0,320 3U,4608,TPE,2276,KMG,3382,,0,320 3U,4608,TSA,2275,CKG,3393,,0,320 3U,4608,TSA,2275,CTU,3395,,0,320 3U,4608,TSN,3368,CGQ,4380,,0,320 319 3U,4608,TSN,3368,CKG,3393,,0,319 3U,4608,TSN,3368,CTU,3395,,0,321 3U,4608,TSN,3368,HGH,3386,,0,320 3U,4608,TSN,3368,HRB,3400,,0,321 3U,4608,TSN,3368,LHW,3378,,0,321 3U,4608,TVS,8858,TYN,3369,,0,319 3U,4608,TYN,3369,CKG,3393,,0,321 3U,4608,TYN,3369,CTU,3395,,0,319 3U,4608,TYN,3369,DAT,6344,,0,319 3U,4608,TYN,3369,HGH,3386,,0,320 3U,4608,TYN,3369,SHE,4144,,0,321 3U,4608,TYN,3369,TVS,8858,,0,319 3U,4608,URC,3399,CGO,3375,,0,320 3U,4608,URC,3399,CKG,3393,,0,320 3U,4608,URC,3399,CTU,3395,,0,319 330 3U,4608,URC,3399,KHG,3397,,0,319 3U,4608,URC,3399,XIY,3379,,0,319 3U,4608,UYN,6368,XIY,3379,,0,319 3U,4608,WNZ,6392,CSX,3371,,0,319 3U,4608,WNZ,6392,CTU,3395,,0,320 3U,4608,WNZ,6392,HRB,3400,,0,321 3U,4608,WNZ,6392,KWE,3394,,0,320 3U,4608,WNZ,6392,SYX,4030,,0,321 3U,4608,WUH,3376,CKG,3393,,0,319 3U,4608,WUH,3376,CTU,3395,,0,319 3U,4608,WUH,3376,HRB,3400,,0,321 3U,4608,WUH,3376,JJN,6386,,0,319 3U,4608,WUH,3376,NNG,3373,,0,321 3U,4608,WUH,3376,NTG,5475,,0,319 3U,4608,WUX,6390,CKG,3393,,0,319 3U,4608,WUX,6390,CTU,3395,,0,320 3U,4608,WXN,6403,CTU,3395,,0,319 3U,4608,WXN,6403,KMG,3382,,0,320 3U,4608,WXN,6403,PEK,3364,,0,320 3U,4608,WXN,6403,SZX,3374,,0,319 3U,4608,XIC,3396,CTU,3395,,0,320 3U,4608,XIY,3379,BHY,6351,,0,321 3U,4608,XIY,3379,CKG,3393,,0,319 3U,4608,XIY,3379,CTU,3395,,0,320 319 3U,4608,XIY,3379,FOC,3385,,0,319 3U,4608,XIY,3379,GXH,9311,,0,319 3U,4608,XIY,3379,HRB,3400,,0,321 3U,4608,XIY,3379,KMG,3382,,0,320 3U,4608,XIY,3379,LXA,4097,,0,319 3U,4608,XIY,3379,LYI,6385,,0,319 320 3U,4608,XIY,3379,TNA,4108,,0,320 3U,4608,XIY,3379,URC,3399,,0,319 3U,4608,XIY,3379,UYN,6368,,0,319 3U,4608,XIY,3379,XMN,3383,,0,319 3U,4608,XIY,3379,XNN,6366,,0,319 3U,4608,XIY,3379,YBP,4110,,0,319 3U,4608,XMN,3383,CSX,3371,,0,321 3U,4608,XMN,3383,CTU,3395,,0,320 3U,4608,XMN,3383,CZX,4109,,0,321 3U,4608,XMN,3383,KMG,3382,,0,320 3U,4608,XMN,3383,KOW,6379,,0,320 3U,4608,XMN,3383,XIY,3379,,0,319 3U,4608,XNN,6366,CKG,3393,,0,320 3U,4608,XNN,6366,CTU,3395,,0,320 3U,4608,XNN,6366,LXA,4097,,0,319 3U,4608,XNN,6366,MIG,6400,,0,320 3U,4608,XNN,6366,XIY,3379,,0,319 3U,4608,XNN,6366,ZHY,8043,,0,320 3U,4608,XUZ,4149,CTU,3395,,0,320 3U,4608,XUZ,4149,DLC,3404,,0,320 3U,4608,XUZ,4149,HRB,3400,,0,320 321 3U,4608,XUZ,4149,KMG,3382,,0,320 3U,4608,XUZ,4149,KWE,3394,,0,321 3U,4608,XUZ,4149,SHE,4144,,0,320 3U,4608,YBP,4110,SYX,4030,,0,319 3U,4608,YBP,4110,XIY,3379,,0,319 3U,4608,YIH,6361,CKG,3393,,0,319 3U,4608,YIH,6361,CTU,3395,,0,320 3U,4608,YIH,6361,HKG,3077,,0,320 3U,4608,YTY,8876,CTU,3395,,0,319 3U,4608,YVR,156,SHE,4144,,0,330 3U,4608,ZHA,6357,CKG,3393,,0,319 3U,4608,ZHA,6357,HKG,3077,,0,319 3U,4608,ZHY,8043,PEK,3364,,0,320 3U,4608,ZHY,8043,XNN,6366,,0,320 3U,4608,ZUH,6355,CZX,4109,,0,320 3U,4608,ZUH,6355,HAK,4120,,0,320 4B,20565,LAS,3877,LAX,3484,,0,PL2 4B,20565,LAX,3484,LAS,3877,,0,PL2 4D,442,CAI,1128,TLV,1590,,0,E70 4D,442,TLV,1590,CAI,1128,,0,E70 4E,\N,MCG,5965,NIB,7214,,0,PAG 4E,\N,MCG,5965,TCT,7215,,0,PAG 4E,\N,NIB,7214,MCG,5965,,0,PAG 4E,\N,TCT,7215,TLJ,3423,,0,PAG 4E,\N,TLJ,3423,MCG,5965,,0,PAG 4G,2524,EYK,8428,VKO,2988,,0,YK2 4G,2524,NCU,6151,VKO,2988,,0,73G 4G,2524,NUX,4364,TJM,4111,,0,TU5 4G,2524,NUX,4364,UFA,2992,,0,TU5 4G,2524,NUX,4364,VKO,2988,,0,73G TU5 4G,2524,NYM,6143,OVS,6140,,0,YK4 4G,2524,NYM,6143,VKO,2988,,0,73G 4G,2524,OVS,6140,NYM,6143,,0,YK4 4G,2524,OVS,6140,SVX,2975,,0,YK4 4G,2524,OVS,6140,VKO,2988,,0,YK2 4G,2524,SVX,2975,OVS,6140,,0,YK4 4G,2524,TJM,4111,NUX,4364,,0,TU5 4G,2524,UCT,4368,VKO,2988,,0,YK2 4G,2524,UFA,2992,NUX,4364,,0,TU5 4G,2524,VKO,2988,EYK,8428,,0,YK2 4G,2524,VKO,2988,NCU,6151,,0,73G 4G,2524,VKO,2988,NUX,4364,,0,73G TU5 4G,2524,VKO,2988,NYM,6143,,0,73G 4G,2524,VKO,2988,OVS,6140,,0,YK2 4G,2524,VKO,2988,UCT,4368,,0,YK2 4H,8463,BKK,3885,DAC,3076,,0,AT7 4H,8463,BZL,6176,DAC,3076,,0,DH8 4H,8463,CCU,3043,CGP,3069,,0,AT7 4H,8463,CCU,3043,DAC,3076,,0,AT7 4H,8463,CGP,3069,CCU,3043,,0,AT7 4H,8463,CGP,3069,DAC,3076,,0,DH8 4H,8463,CGP,3069,MCT,2194,,0,313 4H,8463,CXB,3068,DAC,3076,,0,DH8 4H,8463,DAC,3076,BKK,3885,,0,AT7 4H,8463,DAC,3076,BZL,6176,,0,DH8 4H,8463,DAC,3076,CCU,3043,,0,AT7 4H,8463,DAC,3076,CGP,3069,,0,DH8 4H,8463,DAC,3076,CXB,3068,,0,DH8 4H,8463,DAC,3076,DXB,2188,,0,313 4H,8463,DAC,3076,JED,2072,,0,313 4H,8463,DAC,3076,JSR,3071,,0,DH8 4H,8463,DAC,3076,KTM,3125,,0,AT7 4H,8463,DAC,3076,KUL,3304,,0,AT7 4H,8463,DAC,3076,MCT,2194,,0,313 4H,8463,DAC,3076,SPD,3073,,0,DH8 4H,8463,DAC,3076,ZYL,3074,,0,313 4H,8463,DXB,2188,DAC,3076,,0,313 4H,8463,JED,2072,DAC,3076,,0,313 4H,8463,JSR,3071,DAC,3076,,0,DH8 4H,8463,KTM,3125,DAC,3076,,0,AT7 4H,8463,KUL,3304,DAC,3076,,0,AT7 4H,8463,MCT,2194,CGP,3069,,0,313 4H,8463,MCT,2194,DAC,3076,,0,313 4H,8463,RJH,3072,DAC,3076,,0,DH8 4H,8463,SPD,3073,DAC,3076,,0,DH8 4H,8463,SPD,3073,RJH,3072,,0,DH8 4H,8463,ZYL,3074,DAC,3076,,0,313 4K,29,YGZ,5498,YRB,128,,0,DHT 4K,29,YRB,128,YGZ,5498,,0,DHT 4M,3201,DFW,3670,EZE,3988,Y,0,777 4M,3201,EZE,3988,DFW,3670,Y,0,777 4M,3201,EZE,3988,JFK,3797,Y,0,777 4M,3201,EZE,3988,MIA,3576,,0,777 763 4M,3201,EZE,3988,PUJ,1760,,0,763 4M,3201,JFK,3797,EZE,3988,Y,0,777 4M,3201,MIA,3576,EZE,3988,,0,777 763 4M,3201,MIA,3576,PUJ,1760,,0,763 4M,3201,PUJ,1760,EZE,3988,,0,763 4M,3201,PUJ,1760,MIA,3576,,0,763 4N,341,YEG,49,YXY,176,,0,737 4N,341,YLW,87,YVR,156,,0,737 4N,341,YLW,87,YXY,176,,0,737 4N,341,YOW,100,YZF,196,,0,737 4N,341,YVR,156,YLW,87,,0,737 4N,341,YVR,156,YXY,176,,0,737 4N,341,YXY,176,YLW,87,,0,737 4N,341,YXY,176,YVR,156,,0,737 4N,341,YXY,176,YYC,178,,0,737 4N,341,YXY,176,YZF,196,,0,737 4N,341,YYC,178,YEG,49,,0,737 4N,341,YZF,196,YOW,100,,0,737 4N,341,YZF,196,YXY,176,,0,737 4O,17885,ACA,1783,MEX,1824,,0,320 4O,17885,ACA,1783,TLC,1850,,0,320 4O,17885,AGU,1785,MEX,1824,,0,SU9 4O,17885,BOG,2709,MEX,1824,,0,320 4O,17885,CEN,1794,MEX,1824,,0,320 4O,17885,CJS,1796,MEX,1824,,0,320 4O,17885,CME,1789,MEX,1824,,0,320 4O,17885,CPE,1795,MEX,1824,,0,SU9 4O,17885,CTM,1793,MEX,1824,,0,320 4O,17885,CUL,1792,MEX,1824,,0,320 4O,17885,CUN,1852,MEX,1824,,0,320 4O,17885,CUN,1852,MTY,1825,,0,320 4O,17885,CUN,1852,TLC,1850,,0,320 4O,17885,CUU,1797,MEX,1824,,0,320 4O,17885,CZM,1800,MEX,1824,,0,320 4O,17885,GDL,1804,MEX,1824,,0,320 4O,17885,GDL,1804,MTY,1825,,0,320 4O,17885,GDL,1804,SAT,3621,,0,320 4O,17885,GDL,1804,SJD,1840,,0,320 4O,17885,GDL,1804,SNA,3867,,0,320 4O,17885,GDL,1804,TIJ,1847,,0,320 4O,17885,GUA,1767,MEX,1824,,0,320 4O,17885,HAV,1909,MEX,1824,,0,320 4O,17885,HMO,1807,MEX,1824,,0,320 4O,17885,HUX,1786,MEX,1824,,0,320 4O,17885,JFK,3797,MEX,1824,,0,320 4O,17885,LAP,1816,MEX,1824,,0,SU9 4O,17885,LAS,3877,MTY,1825,,0,320 4O,17885,LAS,3877,TLC,1850,,0,320 4O,17885,MEX,1824,ACA,1783,,0,320 4O,17885,MEX,1824,AGU,1785,,0,SU9 4O,17885,MEX,1824,BOG,2709,,0,320 4O,17885,MEX,1824,CEN,1794,,0,320 4O,17885,MEX,1824,CJS,1796,,0,320 4O,17885,MEX,1824,CME,1789,,0,320 4O,17885,MEX,1824,CPE,1795,,0,SU9 4O,17885,MEX,1824,CTM,1793,,0,320 4O,17885,MEX,1824,CUL,1792,,0,320 4O,17885,MEX,1824,CUN,1852,,0,320 4O,17885,MEX,1824,CUU,1797,,0,320 4O,17885,MEX,1824,CZM,1800,,0,320 4O,17885,MEX,1824,GDL,1804,,0,320 4O,17885,MEX,1824,GUA,1767,,0,320 4O,17885,MEX,1824,HAV,1909,,0,320 4O,17885,MEX,1824,HMO,1807,,0,320 4O,17885,MEX,1824,HUX,1786,,0,320 4O,17885,MEX,1824,JFK,3797,,0,320 4O,17885,MEX,1824,LAP,1816,,0,SU9 4O,17885,MEX,1824,MIA,3576,,0,320 4O,17885,MEX,1824,MID,1819,,0,320 4O,17885,MEX,1824,MTT,1822,,0,SU9 4O,17885,MEX,1824,MTY,1825,,0,320 4O,17885,MEX,1824,MZT,1826,,0,SU9 4O,17885,MEX,1824,OAX,1829,,0,320 4O,17885,MEX,1824,PQM,\N,,0,SU9 4O,17885,MEX,1824,PVR,1836,,0,320 4O,17885,MEX,1824,REX,1839,,0,SU9 4O,17885,MEX,1824,SAT,3621,,0,320 4O,17885,MEX,1824,SJD,1840,,0,320 4O,17885,MEX,1824,SJO,1885,,0,320 4O,17885,MEX,1824,SNA,3867,,0,320 4O,17885,MEX,1824,TAM,1848,,0,320 4O,17885,MEX,1824,TGZ,1846,,0,320 4O,17885,MEX,1824,TIJ,1847,,0,320 4O,17885,MEX,1824,TRC,1845,,0,SU9 4O,17885,MEX,1824,VER,1854,,0,320 4O,17885,MEX,1824,VSA,1853,,0,320 4O,17885,MEX,1824,ZCL,1855,,0,SU9 4O,17885,MEX,1824,ZIH,1856,,0,320 4O,17885,MEX,1824,ZLO,1858,,0,SU9 4O,17885,MIA,3576,MEX,1824,,0,320 4O,17885,MID,1819,MEX,1824,,0,320 4O,17885,MTT,1822,MEX,1824,,0,SU9 4O,17885,MTY,1825,CUN,1852,,0,320 4O,17885,MTY,1825,GDL,1804,,0,320 4O,17885,MTY,1825,LAS,3877,,0,320 4O,17885,MTY,1825,MEX,1824,,0,320 4O,17885,MTY,1825,SAT,3621,,0,320 4O,17885,MTY,1825,TLC,1850,,0,320 4O,17885,MZT,1826,MEX,1824,,0,SU9 4O,17885,OAX,1829,MEX,1824,,0,320 4O,17885,PQM,\N,MEX,1824,,0,SU9 4O,17885,PVR,1836,MEX,1824,,0,320 4O,17885,PVR,1836,TLC,1850,,0,320 4O,17885,REX,1839,MEX,1824,,0,SU9 4O,17885,SAT,3621,GDL,1804,,0,320 4O,17885,SAT,3621,MEX,1824,,0,320 4O,17885,SAT,3621,MTY,1825,,0,320 4O,17885,SAT,3621,TLC,1850,,0,320 4O,17885,SJD,1840,GDL,1804,,0,320 4O,17885,SJD,1840,MEX,1824,,0,320 4O,17885,SJD,1840,TLC,1850,,0,320 4O,17885,SJO,1885,MEX,1824,,0,320 4O,17885,SNA,3867,GDL,1804,,0,320 4O,17885,SNA,3867,MEX,1824,,0,320 4O,17885,TAM,1848,MEX,1824,,0,320 4O,17885,TGZ,1846,MEX,1824,,0,320 4O,17885,TIJ,1847,GDL,1804,,0,320 4O,17885,TIJ,1847,MEX,1824,,0,320 4O,17885,TLC,1850,ACA,1783,,0,320 4O,17885,TLC,1850,CUN,1852,,0,320 4O,17885,TLC,1850,LAS,3877,,0,320 4O,17885,TLC,1850,MTY,1825,,0,320 4O,17885,TLC,1850,PVR,1836,,0,320 4O,17885,TLC,1850,SAT,3621,,0,320 4O,17885,TLC,1850,SJD,1840,,0,320 4O,17885,TLC,1850,ZIH,1856,,0,320 4O,17885,TRC,1845,MEX,1824,,0,SU9 4O,17885,VER,1854,MEX,1824,,0,320 4O,17885,VSA,1853,MEX,1824,,0,320 4O,17885,ZCL,1855,MEX,1824,,0,SU9 4O,17885,ZIH,1856,MEX,1824,,0,320 4O,17885,ZIH,1856,TLC,1850,,0,320 4O,17885,ZLO,1858,MEX,1824,,0,SU9 4Q,10758,DEL,3093,HEA,2048,,0,320 4Q,10758,DEL,3093,KBL,2050,,0,320 4Q,10758,DXB,2188,KBL,2050,,0,319 4Q,10758,HEA,2048,DEL,3093,,0,320 4Q,10758,HEA,2048,ISB,2223,,0,319 4Q,10758,HEA,2048,KBL,2050,,0,319 320 4Q,10758,ISB,2223,HEA,2048,,0,319 4Q,10758,ISB,2223,KBL,2050,,0,319 4Q,10758,KBL,2050,DEL,3093,,0,320 4Q,10758,KBL,2050,DXB,2188,,0,319 4Q,10758,KBL,2050,HEA,2048,,0,319 320 4Q,10758,KBL,2050,ISB,2223,,0,319 4Q,10758,KBL,2050,MZR,2053,,0,319 4Q,10758,MZR,2053,KBL,2050,,0,319 4T,1401,AYT,1688,ZRH,1678,,0,320 4T,1401,BSL,1423,HRG,1130,,0,320 4T,1401,HRG,1130,BSL,1423,,0,320 4T,1401,HRG,1130,ZRH,1678,,0,320 4T,1401,PRN,1742,ZRH,1678,,0,320 4T,1401,RMF,4197,ZRH,1678,,0,320 4T,1401,SKP,1737,ZRH,1678,,0,320 4T,1401,ZRH,1678,AYT,1688,,0,320 4T,1401,ZRH,1678,HRG,1130,,0,320 4T,1401,ZRH,1678,PRN,1742,,0,320 4T,1401,ZRH,1678,RMF,4197,,0,320 4T,1401,ZRH,1678,SKP,1737,,0,320 4U,2548,AGP,1230,STR,350,,0,320 319 4U,2548,AGP,1230,TXL,351,,0,319 4U,2548,ALG,210,CGN,344,,0,319 4U,2548,AMS,580,HAM,342,,0,CRJ 4U,2548,AOI,4309,DUS,345,,0,CRJ 4U,2548,AOI,4309,TXL,351,,0,CRJ 4U,2548,ARN,737,CGN,344,,0,CRJ 4U,2548,ARN,737,DUS,345,,0,CRJ 4U,2548,ARN,737,HAM,342,,0,CRJ 4U,2548,ATH,3941,CGN,344,,0,319 4U,2548,ATH,3941,STR,350,,0,319 4U,2548,AYT,1688,CGN,344,,0,320 4U,2548,BCN,1218,CGN,344,,0,320 319 4U,2548,BCN,1218,DUS,345,,0,320 319 4U,2548,BCN,1218,HAJ,352,,0,319 4U,2548,BCN,1218,HAM,342,,0,319 4U,2548,BCN,1218,STR,350,,0,319 320 4U,2548,BDS,1506,STR,350,,0,319 4U,2548,BEG,1739,STR,350,,0,319 4U,2548,BGO,636,HAM,342,,0,CRJ 4U,2548,BHX,469,HAM,342,,0,CRJ 4U,2548,BHX,469,TXL,351,,0,319 4U,2548,BIA,1321,CGN,344,,0,319 4U,2548,BIA,1321,DUS,345,,0,320 4U,2548,BIA,1321,HAM,342,,0,CRJ 4U,2548,BIA,1321,STR,350,,0,319 4U,2548,BIA,1321,TXL,351,,0,320 4U,2548,BIO,1216,DUS,345,,0,CRJ 4U,2548,BIO,1216,STR,350,,0,CRJ 319 4U,2548,BLQ,1538,CGN,344,,0,319 4U,2548,BLQ,1538,TXL,351,,0,319 4U,2548,BRE,353,STR,350,,0,319 CRJ 4U,2548,BRI,1501,CGN,344,,0,319 4U,2548,BRI,1501,DUS,345,,0,CRJ 4U,2548,BRI,1501,STR,350,,0,319 4U,2548,BRU,302,STR,350,,0,319 CRJ 4U,2548,BSL,1423,DUS,345,,0,CRJ 4U,2548,BUD,1489,CGN,344,,0,319 320 CRJ 4U,2548,BUD,1489,HAM,342,,0,CRJ 4U,2548,BUD,1489,STR,350,,0,319 CRJ 4U,2548,CAG,1519,CGN,344,,0,319 4U,2548,CAG,1519,DUS,345,,0,CRJ 4U,2548,CAG,1519,STR,350,,0,319 4U,2548,CDG,1382,HAM,342,,0,319 CRJ 4U,2548,CFU,1460,CGN,344,,0,320 319 4U,2548,CFU,1460,DRS,338,,0,319 4U,2548,CFU,1460,STR,350,,0,319 4U,2548,CGN,344,ALG,210,,0,319 4U,2548,CGN,344,ARN,737,,0,CRJ 4U,2548,CGN,344,ATH,3941,,0,319 4U,2548,CGN,344,AYT,1688,,0,320 4U,2548,CGN,344,BCN,1218,,0,320 319 4U,2548,CGN,344,BIA,1321,,0,319 4U,2548,CGN,344,BLQ,1538,,0,319 4U,2548,CGN,344,BRI,1501,,0,319 4U,2548,CGN,344,BUD,1489,,0,319 320 CRJ 4U,2548,CGN,344,CAG,1519,,0,319 4U,2548,CGN,344,CFU,1460,,0,320 319 4U,2548,CGN,344,CLY,1322,,0,319 4U,2548,CGN,344,CTA,1509,,0,319 4U,2548,CGN,344,DBV,1200,,0,319 4U,2548,CGN,344,DRS,338,,0,319 CRJ 4U,2548,CGN,344,DUB,599,,0,319 4U,2548,CGN,344,EDI,535,,0,319 4U,2548,CGN,344,FAO,1626,,0,319 320 4U,2548,CGN,344,FCO,1555,,0,319 320 4U,2548,CGN,344,FDH,382,,0,319 CRJ 4U,2548,CGN,344,HAM,342,,0,319 CRJ 4U,2548,CGN,344,HDF,5557,,0,CRJ 4U,2548,CGN,344,HER,1452,,0,320 319 4U,2548,CGN,344,IBZ,1225,,0,320 319 4U,2548,CGN,344,JMK,1468,,0,319 4U,2548,CGN,344,JTR,1479,,0,319 4U,2548,CGN,344,KGS,1458,,0,319 4U,2548,CGN,344,KLU,4322,,0,CRJ 4U,2548,CGN,344,KVA,1462,,0,319 320 4U,2548,CGN,344,LEJ,348,,0,CRJ 319 320 4U,2548,CGN,344,LHR,507,,0,319 320 4U,2548,CGN,344,LIS,1638,,0,319 320 4U,2548,CGN,344,LPA,1054,,0,319 4U,2548,CGN,344,MAN,478,,0,319 4U,2548,CGN,344,MXP,1524,,0,319 CRJ 4U,2548,CGN,344,NAP,1561,,0,319 320 4U,2548,CGN,344,NCE,1354,,0,319 320 4U,2548,CGN,344,NDR,5673,,0,319 4U,2548,CGN,344,OLB,1520,,0,319 4U,2548,CGN,344,PMI,3998,,0,320 319 4U,2548,CGN,344,PMO,1512,,0,319 CRJ 4U,2548,CGN,344,PRG,1587,,0,319 320 CRJ 4U,2548,CGN,344,PSA,1562,,0,319 4U,2548,CGN,344,PUY,1203,,0,319 CRJ 4U,2548,CGN,344,RAK,1075,,0,319 4U,2548,CGN,344,RHO,1472,,0,320 4U,2548,CGN,344,RJK,1205,,0,319 4U,2548,CGN,344,RLG,772,,0,319 4U,2548,CGN,344,SAW,4317,,0,319 320 4U,2548,CGN,344,SJJ,1646,,0,319 4U,2548,CGN,344,SKG,1486,,0,319 320 4U,2548,CGN,344,SPU,1206,,0,319 4U,2548,CGN,344,STN,548,,0,319 4U,2548,CGN,344,SUF,1508,,0,319 4U,2548,CGN,344,SZG,1612,,0,319 4U,2548,CGN,344,TLV,1590,,0,319 320 4U,2548,CGN,344,TUN,287,,0,319 4U,2548,CGN,344,TXL,351,,0,319 320 4U,2548,CGN,344,VCE,1551,,0,320 319 4U,2548,CGN,344,VIE,1613,,0,319 320 4U,2548,CGN,344,VRN,1550,,0,319 4U,2548,CGN,344,WAW,679,,0,CRJ 4U,2548,CGN,344,XRY,1226,,0,319 4U,2548,CGN,344,ZAD,1209,,0,319 4U,2548,CGN,344,ZAG,1208,,0,CRJ 319 4U,2548,CGN,344,ZRH,1678,,0,320 319 4U,2548,CLY,1322,CGN,344,,0,319 4U,2548,CTA,1509,CGN,344,,0,319 4U,2548,CTA,1509,DUS,345,,0,CRJ 4U,2548,CTA,1509,HAJ,352,,0,319 4U,2548,CTA,1509,HAM,342,,0,319 4U,2548,CTA,1509,STR,350,,0,319 4U,2548,CTA,1509,TXL,351,,0,319 4U,2548,CWL,488,DUS,345,,0,CRJ 4U,2548,DBV,1200,CGN,344,,0,319 4U,2548,DBV,1200,DUS,345,,0,CRJ 4U,2548,DBV,1200,HAJ,352,,0,319 4U,2548,DBV,1200,HAM,342,,0,319 4U,2548,DBV,1200,STR,350,,0,319 4U,2548,DBV,1200,TXL,351,,0,320 4U,2548,DRS,338,CFU,1460,,0,319 4U,2548,DRS,338,CGN,344,,0,319 CRJ 4U,2548,DRS,338,DUS,345,,0,319 CRJ 4U,2548,DRS,338,STR,350,,0,319 CRJ 4U,2548,DTM,373,HDF,5557,,0,319 4U,2548,DTM,373,MUC,346,,0,319 4U,2548,DTM,373,PMI,3998,,0,319 320 4U,2548,DTM,373,SAW,4317,,0,319 4U,2548,DTM,373,SPU,1206,,0,319 4U,2548,DUB,599,CGN,344,,0,319 4U,2548,DUB,599,DUS,345,,0,CRJ 4U,2548,DUS,345,AOI,4309,,0,CRJ 4U,2548,DUS,345,ARN,737,,0,CRJ 4U,2548,DUS,345,BCN,1218,,0,320 319 4U,2548,DUS,345,BIA,1321,,0,320 4U,2548,DUS,345,BIO,1216,,0,CRJ 4U,2548,DUS,345,BRI,1501,,0,CRJ 4U,2548,DUS,345,BSL,1423,,0,CRJ 4U,2548,DUS,345,CAG,1519,,0,CRJ 4U,2548,DUS,345,CTA,1509,,0,CRJ 4U,2548,DUS,345,CWL,488,,0,CRJ 4U,2548,DUS,345,DBV,1200,,0,CRJ 4U,2548,DUS,345,DRS,338,,0,319 CRJ 4U,2548,DUS,345,DUB,599,,0,CRJ 4U,2548,DUS,345,GVA,1665,,0,CRJ 4U,2548,DUS,345,HDF,5557,,0,CRJ 4U,2548,DUS,345,HER,1452,,0,319 4U,2548,DUS,345,IBZ,1225,,0,320 4U,2548,DUS,345,KTW,671,,0,CRJ 4U,2548,DUS,345,LEJ,348,,0,CRJ 4U,2548,DUS,345,LYS,1335,,0,CRJ 4U,2548,DUS,345,MAD,1229,,0,CRJ 4U,2548,DUS,345,MPL,1359,,0,CRJ 4U,2548,DUS,345,MXP,1524,,0,CRJ 320 4U,2548,DUS,345,NQY,481,,0,CRJ 4U,2548,DUS,345,NUE,347,,0,CRJ 4U,2548,DUS,345,OLB,1520,,0,CRJ 4U,2548,DUS,345,PMI,3998,,0,320 4U,2548,DUS,345,POZ,674,,0,CRJ 4U,2548,DUS,345,PRG,1587,,0,CRJ 4U,2548,DUS,345,PRN,1742,,0,319 4U,2548,DUS,345,SKG,1486,,0,319 320 4U,2548,DUS,345,SPU,1206,,0,319 4U,2548,DUS,345,SUF,1508,,0,CRJ 4U,2548,DUS,345,TRN,1526,,0,CRJ 4U,2548,DUS,345,VCE,1551,,0,320 319 4U,2548,DUS,345,WAW,679,,0,CRJ 4U,2548,DUS,345,WRO,680,,0,CRJ 4U,2548,DUS,345,ZAD,1209,,0,CRJ 4U,2548,EDI,535,CGN,344,,0,319 4U,2548,FAO,1626,CGN,344,,0,319 320 4U,2548,FAO,1626,HAM,342,,0,319 4U,2548,FAO,1626,STR,350,,0,319 320 4U,2548,FCO,1555,CGN,344,,0,319 320 4U,2548,FCO,1555,HAJ,352,,0,319 4U,2548,FCO,1555,HAM,342,,0,319 4U,2548,FCO,1555,STR,350,,0,319 4U,2548,FCO,1555,TXL,351,,0,319 4U,2548,FDH,382,CGN,344,,0,319 CRJ 4U,2548,FKB,4166,HAM,342,,0,CRJ 4U,2548,FMM,3986,HAM,342,,0,CRJ 4U,2548,FMM,3986,TXL,351,,0,CRJ 4U,2548,FRA,340,HDF,5557,,0,CRJ 4U,2548,GVA,1665,DUS,345,,0,CRJ 4U,2548,GVA,1665,HAM,342,,0,CRJ 4U,2548,HAJ,352,BCN,1218,,0,319 4U,2548,HAJ,352,CTA,1509,,0,319 4U,2548,HAJ,352,DBV,1200,,0,319 4U,2548,HAJ,352,FCO,1555,,0,319 4U,2548,HAJ,352,HER,1452,,0,319 4U,2548,HAJ,352,MXP,1524,,0,319 4U,2548,HAJ,352,NAP,1561,,0,319 4U,2548,HAJ,352,PMI,3998,,0,319 4U,2548,HAJ,352,PRN,1742,,0,319 4U,2548,HAJ,352,SAW,4317,,0,319 4U,2548,HAJ,352,SKG,1486,,0,319 4U,2548,HAJ,352,SPU,1206,,0,319 4U,2548,HAJ,352,STN,548,,0,319 4U,2548,HAJ,352,STR,350,,0,319 4U,2548,HAJ,352,SUF,1508,,0,319 4U,2548,HAJ,352,VCE,1551,,0,319 4U,2548,HAJ,352,VIE,1613,,0,319 4U,2548,HAM,342,AMS,580,,0,CRJ 4U,2548,HAM,342,ARN,737,,0,CRJ 4U,2548,HAM,342,BCN,1218,,0,319 4U,2548,HAM,342,BGO,636,,0,CRJ 4U,2548,HAM,342,BHX,469,,0,CRJ 4U,2548,HAM,342,BIA,1321,,0,CRJ 4U,2548,HAM,342,BUD,1489,,0,CRJ 4U,2548,HAM,342,CDG,1382,,0,319 CRJ 4U,2548,HAM,342,CGN,344,,0,319 CRJ 4U,2548,HAM,342,CTA,1509,,0,319 4U,2548,HAM,342,DBV,1200,,0,319 4U,2548,HAM,342,FAO,1626,,0,319 4U,2548,HAM,342,FCO,1555,,0,319 4U,2548,HAM,342,FKB,4166,,0,CRJ 4U,2548,HAM,342,FMM,3986,,0,CRJ 4U,2548,HAM,342,GVA,1665,,0,CRJ 4U,2548,HAM,342,HER,1452,,0,319 4U,2548,HAM,342,KLU,4322,,0,319 CRJ 4U,2548,HAM,342,LHR,507,,0,319 CRJ 4U,2548,HAM,342,MAD,1229,,0,CRJ 4U,2548,HAM,342,MAN,478,,0,CRJ 4U,2548,HAM,342,MXP,1524,,0,319 CRJ 4U,2548,HAM,342,NAP,1561,,0,319 4U,2548,HAM,342,NCE,1354,,0,319 4U,2548,HAM,342,NUE,347,,0,CRJ 4U,2548,HAM,342,OLB,1520,,0,319 4U,2548,HAM,342,OSL,644,,0,CRJ 4U,2548,HAM,342,PMI,3998,,0,319 4U,2548,HAM,342,PRG,1587,,0,CRJ 4U,2548,HAM,342,PRN,1742,,0,319 4U,2548,HAM,342,RJK,1205,,0,319 4U,2548,HAM,342,SAW,4317,,0,319 4U,2548,HAM,342,SKG,1486,,0,319 4U,2548,HAM,342,SPU,1206,,0,319 4U,2548,HAM,342,STR,350,,0,319 CRJ 4U,2548,HAM,342,TLS,1273,,0,CRJ 4U,2548,HAM,342,VCE,1551,,0,319 CRJ 4U,2548,HAM,342,VIE,1613,,0,319 CRJ 4U,2548,HAM,342,VRN,1550,,0,CRJ 4U,2548,HAM,342,ZRH,1678,,0,319 CRJ 4U,2548,HDF,5557,CGN,344,,0,CRJ 4U,2548,HDF,5557,DTM,373,,0,319 4U,2548,HDF,5557,DUS,345,,0,CRJ 4U,2548,HDF,5557,FRA,340,,0,CRJ 4U,2548,HDF,5557,STR,350,,0,CRJ 4U,2548,HEL,421,TXL,351,,0,319 4U,2548,HER,1452,CGN,344,,0,320 319 4U,2548,HER,1452,DUS,345,,0,319 4U,2548,HER,1452,HAJ,352,,0,319 4U,2548,HER,1452,HAM,342,,0,319 4U,2548,HER,1452,STR,350,,0,319 4U,2548,HER,1452,TXL,351,,0,319 4U,2548,IBZ,1225,CGN,344,,0,320 319 4U,2548,IBZ,1225,DUS,345,,0,320 4U,2548,IBZ,1225,STR,350,,0,319 4U,2548,IBZ,1225,TXL,351,,0,319 4U,2548,JMK,1468,CGN,344,,0,319 4U,2548,JTR,1479,CGN,344,,0,319 4U,2548,KGS,1458,CGN,344,,0,319 4U,2548,KLU,4322,CGN,344,,0,CRJ 4U,2548,KLU,4322,HAM,342,,0,319 CRJ 4U,2548,KLU,4322,TXL,351,,0,319 CRJ 4U,2548,KRK,669,STR,350,,0,CRJ 4U,2548,KTW,671,DUS,345,,0,CRJ 4U,2548,KVA,1462,CGN,344,,0,319 320 4U,2548,KVA,1462,STR,350,,0,319 4U,2548,LEJ,348,CGN,344,,0,CRJ 319 320 4U,2548,LEJ,348,DUS,345,,0,CRJ 4U,2548,LEJ,348,STR,350,,0,319 CRJ 4U,2548,LHR,507,CGN,344,,0,319 320 4U,2548,LHR,507,HAM,342,,0,319 CRJ 4U,2548,LHR,507,STR,350,,0,319 320 4U,2548,LHR,507,TXL,351,,0,319 320 4U,2548,LIN,1529,TXL,351,,0,319 4U,2548,LIS,1638,CGN,344,,0,319 320 4U,2548,LIS,1638,STR,350,,0,319 4U,2548,LPA,1054,CGN,344,,0,319 4U,2548,LYS,1335,DUS,345,,0,CRJ 4U,2548,MAD,1229,DUS,345,,0,CRJ 4U,2548,MAD,1229,HAM,342,,0,CRJ 4U,2548,MAN,478,CGN,344,,0,319 4U,2548,MAN,478,HAM,342,,0,CRJ 4U,2548,MPL,1359,DUS,345,,0,CRJ 4U,2548,MUC,346,DTM,373,,0,319 4U,2548,MXP,1524,CGN,344,,0,319 CRJ 4U,2548,MXP,1524,DUS,345,,0,CRJ 320 4U,2548,MXP,1524,HAJ,352,,0,319 4U,2548,MXP,1524,HAM,342,,0,319 CRJ 4U,2548,MXP,1524,STR,350,,0,CRJ 319 4U,2548,NAP,1561,CGN,344,,0,319 320 4U,2548,NAP,1561,HAJ,352,,0,319 4U,2548,NAP,1561,HAM,342,,0,319 4U,2548,NAP,1561,STR,350,,0,319 4U,2548,NCE,1354,CGN,344,,0,319 320 4U,2548,NCE,1354,HAM,342,,0,319 4U,2548,NCE,1354,TXL,351,,0,319 4U,2548,NDR,5673,CGN,344,,0,319 4U,2548,NQY,481,DUS,345,,0,CRJ 4U,2548,NUE,347,DUS,345,,0,CRJ 4U,2548,NUE,347,HAM,342,,0,CRJ 4U,2548,NUE,347,TXL,351,,0,319 4U,2548,OLB,1520,CGN,344,,0,319 4U,2548,OLB,1520,DUS,345,,0,CRJ 4U,2548,OLB,1520,HAM,342,,0,319 4U,2548,OLB,1520,STR,350,,0,319 4U,2548,OSL,644,HAM,342,,0,CRJ 4U,2548,PMI,3998,CGN,344,,0,320 319 4U,2548,PMI,3998,DTM,373,,0,319 320 4U,2548,PMI,3998,DUS,345,,0,320 4U,2548,PMI,3998,HAJ,352,,0,319 4U,2548,PMI,3998,HAM,342,,0,319 4U,2548,PMI,3998,STR,350,,0,319 320 4U,2548,PMI,3998,TXL,351,,0,320 4U,2548,PMO,1512,CGN,344,,0,319 CRJ 4U,2548,POZ,674,DUS,345,,0,CRJ 4U,2548,PRG,1587,CGN,344,,0,319 320 CRJ 4U,2548,PRG,1587,DUS,345,,0,CRJ 4U,2548,PRG,1587,HAM,342,,0,CRJ 4U,2548,PRN,1742,DUS,345,,0,319 4U,2548,PRN,1742,HAJ,352,,0,319 4U,2548,PRN,1742,HAM,342,,0,319 4U,2548,PRN,1742,STR,350,,0,319 4U,2548,PRN,1742,TXL,351,,0,319 4U,2548,PSA,1562,CGN,344,,0,319 4U,2548,PUY,1203,CGN,344,,0,319 CRJ 4U,2548,RAK,1075,CGN,344,,0,319 4U,2548,RHO,1472,CGN,344,,0,320 4U,2548,RJK,1205,CGN,344,,0,319 4U,2548,RJK,1205,HAM,342,,0,319 4U,2548,RJK,1205,STR,350,,0,319 4U,2548,RLG,772,CGN,344,,0,319 4U,2548,RLG,772,STR,350,,0,319 4U,2548,SAW,4317,CGN,344,,0,319 320 4U,2548,SAW,4317,DTM,373,,0,319 4U,2548,SAW,4317,HAJ,352,,0,319 4U,2548,SAW,4317,HAM,342,,0,319 4U,2548,SAW,4317,STR,350,,0,319 4U,2548,SAW,4317,TXL,351,,0,319 4U,2548,SJJ,1646,CGN,344,,0,319 4U,2548,SJJ,1646,STR,350,,0,319 4U,2548,SJJ,1646,TXL,351,,0,319 4U,2548,SKG,1486,CGN,344,,0,319 320 4U,2548,SKG,1486,DUS,345,,0,319 320 4U,2548,SKG,1486,HAJ,352,,0,319 4U,2548,SKG,1486,HAM,342,,0,319 4U,2548,SKG,1486,STR,350,,0,319 320 4U,2548,SPU,1206,CGN,344,,0,319 4U,2548,SPU,1206,DTM,373,,0,319 4U,2548,SPU,1206,DUS,345,,0,319 4U,2548,SPU,1206,HAJ,352,,0,319 4U,2548,SPU,1206,HAM,342,,0,319 4U,2548,SPU,1206,STR,350,,0,319 320 4U,2548,SPU,1206,TXL,351,,0,319 4U,2548,STN,548,CGN,344,,0,319 4U,2548,STN,548,HAJ,352,,0,319 4U,2548,STN,548,STR,350,,0,319 4U,2548,STR,350,AGP,1230,,0,320 319 4U,2548,STR,350,ATH,3941,,0,319 4U,2548,STR,350,BCN,1218,,0,319 320 4U,2548,STR,350,BDS,1506,,0,319 4U,2548,STR,350,BEG,1739,,0,319 4U,2548,STR,350,BIA,1321,,0,319 4U,2548,STR,350,BIO,1216,,0,CRJ 319 4U,2548,STR,350,BRE,353,,0,319 CRJ 4U,2548,STR,350,BRI,1501,,0,319 4U,2548,STR,350,BRU,302,,0,319 CRJ 4U,2548,STR,350,BUD,1489,,0,319 CRJ 4U,2548,STR,350,CAG,1519,,0,319 4U,2548,STR,350,CFU,1460,,0,319 4U,2548,STR,350,CTA,1509,,0,319 4U,2548,STR,350,DBV,1200,,0,319 4U,2548,STR,350,DRS,338,,0,319 CRJ 4U,2548,STR,350,FAO,1626,,0,319 320 4U,2548,STR,350,FCO,1555,,0,319 4U,2548,STR,350,HAJ,352,,0,319 4U,2548,STR,350,HAM,342,,0,319 CRJ 4U,2548,STR,350,HDF,5557,,0,CRJ 4U,2548,STR,350,HER,1452,,0,319 4U,2548,STR,350,IBZ,1225,,0,319 4U,2548,STR,350,KRK,669,,0,CRJ 4U,2548,STR,350,KVA,1462,,0,319 4U,2548,STR,350,LEJ,348,,0,319 CRJ 4U,2548,STR,350,LHR,507,,0,319 320 4U,2548,STR,350,LIS,1638,,0,319 4U,2548,STR,350,MXP,1524,,0,CRJ 319 4U,2548,STR,350,NAP,1561,,0,319 4U,2548,STR,350,OLB,1520,,0,319 4U,2548,STR,350,PMI,3998,,0,319 320 4U,2548,STR,350,PRN,1742,,0,319 4U,2548,STR,350,RJK,1205,,0,319 4U,2548,STR,350,RLG,772,,0,319 4U,2548,STR,350,SAW,4317,,0,319 4U,2548,STR,350,SJJ,1646,,0,319 4U,2548,STR,350,SKG,1486,,0,319 320 4U,2548,STR,350,SPU,1206,,0,319 320 4U,2548,STR,350,STN,548,,0,319 4U,2548,STR,350,SUF,1508,,0,319 4U,2548,STR,350,TXL,351,,0,320 319 CRJ 4U,2548,STR,350,VIE,1613,,0,319 320 CRJ 4U,2548,STR,350,ZAD,1209,,0,319 4U,2548,STR,350,ZAG,1208,,0,319 4U,2548,SUF,1508,CGN,344,,0,319 4U,2548,SUF,1508,DUS,345,,0,CRJ 4U,2548,SUF,1508,HAJ,352,,0,319 4U,2548,SUF,1508,STR,350,,0,319 4U,2548,SZG,1612,CGN,344,,0,319 4U,2548,TLS,1273,HAM,342,,0,CRJ 4U,2548,TLV,1590,CGN,344,,0,319 320 4U,2548,TRN,1526,DUS,345,,0,CRJ 4U,2548,TUN,287,CGN,344,,0,319 4U,2548,TXL,351,AGP,1230,,0,319 4U,2548,TXL,351,AOI,4309,,0,CRJ 4U,2548,TXL,351,BHX,469,,0,319 4U,2548,TXL,351,BIA,1321,,0,320 4U,2548,TXL,351,BLQ,1538,,0,319 4U,2548,TXL,351,CGN,344,,0,320 319 4U,2548,TXL,351,CTA,1509,,0,319 4U,2548,TXL,351,DBV,1200,,0,320 4U,2548,TXL,351,FCO,1555,,0,319 4U,2548,TXL,351,FMM,3986,,0,CRJ 4U,2548,TXL,351,HEL,421,,0,319 4U,2548,TXL,351,HER,1452,,0,319 4U,2548,TXL,351,IBZ,1225,,0,319 4U,2548,TXL,351,KLU,4322,,0,319 CRJ 4U,2548,TXL,351,LHR,507,,0,319 320 4U,2548,TXL,351,LIN,1529,,0,319 4U,2548,TXL,351,NCE,1354,,0,319 4U,2548,TXL,351,NUE,347,,0,319 4U,2548,TXL,351,PMI,3998,,0,320 4U,2548,TXL,351,PRN,1742,,0,319 4U,2548,TXL,351,SAW,4317,,0,319 4U,2548,TXL,351,SJJ,1646,,0,319 4U,2548,TXL,351,SPU,1206,,0,319 4U,2548,TXL,351,STR,350,,0,319 320 CRJ 4U,2548,TXL,351,VIE,1613,,0,319 320 4U,2548,TXL,351,VRN,1550,,0,319 4U,2548,TXL,351,ZAD,1209,,0,319 4U,2548,VCE,1551,CGN,344,,0,320 319 4U,2548,VCE,1551,DUS,345,,0,320 319 4U,2548,VCE,1551,HAJ,352,,0,319 4U,2548,VCE,1551,HAM,342,,0,319 CRJ 4U,2548,VIE,1613,CGN,344,,0,319 320 4U,2548,VIE,1613,HAJ,352,,0,319 4U,2548,VIE,1613,HAM,342,,0,319 CRJ 4U,2548,VIE,1613,STR,350,,0,319 320 CRJ 4U,2548,VIE,1613,TXL,351,,0,319 320 4U,2548,VRN,1550,CGN,344,,0,319 4U,2548,VRN,1550,HAM,342,,0,CRJ 4U,2548,VRN,1550,TXL,351,,0,319 4U,2548,WAW,679,CGN,344,,0,CRJ 4U,2548,WAW,679,DUS,345,,0,CRJ 4U,2548,WRO,680,DUS,345,,0,CRJ 4U,2548,XRY,1226,CGN,344,,0,319 4U,2548,ZAD,1209,CGN,344,,0,319 4U,2548,ZAD,1209,DUS,345,,0,CRJ 4U,2548,ZAD,1209,STR,350,,0,319 4U,2548,ZAD,1209,TXL,351,,0,319 4U,2548,ZAG,1208,CGN,344,,0,CRJ 319 4U,2548,ZAG,1208,STR,350,,0,319 4U,2548,ZRH,1678,CGN,344,,0,320 319 4U,2548,ZRH,1678,HAM,342,,0,319 CRJ 4W,\N,AKP,6712,FAI,3832,,0,PA2 4W,\N,BTT,3417,AKP,6712,,0,PA2 4W,\N,BTT,3417,CXF,7119,,0,PA2 4W,\N,CEM,7116,IRC,7236,,0,PA2 4W,\N,CIK,7105,FAI,3832,,0,PA2 4W,\N,CIK,7105,FYU,3420,,0,PA2 4W,\N,CXF,7119,AKP,6712,,0,PA2 4W,\N,FAI,3832,BTT,3417,,0,PA2 4W,\N,FAI,3832,CEM,7116,,0,PA2 4W,\N,FAI,3832,CIK,7105,,0,PA2 4W,\N,FAI,3832,FYU,3420,,0,PA2 4W,\N,FAI,3832,MLY,7246,,0,CN1 4W,\N,FAI,3832,RMP,7112,,0,CN1 4W,\N,FAI,3832,SVS,9741,,0,PA2 4W,\N,FAI,3832,TAL,7113,,0,PA2 4W,\N,FAI,3832,WBQ,7115,,0,PA2 4W,\N,FYU,3420,CIK,7105,,0,PA2 4W,\N,FYU,3420,FAI,3832,,0,PA2 4W,\N,IRC,7236,FAI,3832,,0,PA2 4W,\N,MLY,7246,MNT,7110,,0,CN1 4W,\N,MNT,7110,FAI,3832,,0,CN1 4W,\N,RMP,7112,FAI,3832,,0,CN1 4W,\N,SVS,9741,FAI,3832,,0,PA2 4W,\N,SVS,9741,WBQ,7115,,0,PA2 4W,\N,TAL,7113,FAI,3832,,0,PA2 4W,\N,WBQ,7115,FAI,3832,,0,PA2 4W,\N,WBQ,7115,SVS,9741,,0,PA2 4Y,1173,AKI,7217,TLT,7218,,0,CNA 4Y,1173,ATT,4385,KUK,7094,,0,CNA 4Y,1173,BET,3599,ATT,4385,,0,CNA 4Y,1173,BET,3599,EEK,7093,,0,CNA 4Y,1173,BET,3599,GNU,8202,,0,CNA 4Y,1173,BET,3599,KPN,7201,,0,CNA 4Y,1173,BET,3599,KWN,7206,,0,CNA 4Y,1173,BET,3599,KWT,7095,,0,CNA 4Y,1173,BET,3599,MLL,7097,,0,CNA 4Y,1173,BET,3599,NME,8199,,0,CNA 4Y,1173,BET,3599,WNA,9739,,0,CNA 4Y,1173,BET,3599,WTL,7099,,0,CNA 4Y,1173,CYF,6960,BET,3599,,0,CNA 4Y,1173,EEK,7093,BET,3599,,0,CNA 4Y,1173,EEK,7093,KWN,7206,,0,CNA 4Y,1173,GNU,8202,PTU,3430,,0,CNA 4Y,1173,KKH,7213,KWK,7096,,0,CNA 4Y,1173,KKI,9742,AKI,7217,,0,CNA 4Y,1173,KPN,7201,CYF,6960,,0,CNA 4Y,1173,KUK,7094,NUP,7212,,0,CNA 4Y,1173,KWK,7096,BET,3599,,0,CNA 4Y,1173,KWN,7206,BET,3599,,0,CNA 4Y,1173,KWN,7206,EEK,7093,,0,CNA 4Y,1173,KWT,7095,KKI,9742,,0,CNA 4Y,1173,MLL,7097,PQS,7216,,0,CNA 4Y,1173,NME,8199,OOK,8200,,0,CNA 4Y,1173,NUP,7212,BET,3599,,0,CNA 4Y,1173,OOK,8200,TNK,8201,,0,CNA 4Y,1173,PKA,9744,BET,3599,,0,CNA 4Y,1173,PQS,7216,BET,3599,,0,CNA 4Y,1173,PTU,3430,BET,3599,,0,CNA 4Y,1173,TLT,7218,BET,3599,,0,CNA 4Y,1173,TNK,8201,WWT,8203,,0,CNA 4Y,1173,WNA,9739,PKA,9744,,0,CNA 4Y,1173,WTL,7099,KKH,7213,,0,CNA 4Y,1173,WWT,8203,BET,3599,,0,CNA 5C,1581,BOC,1865,SJO,1885,,0,DHT 5C,1581,DRK,6945,SJO,1885,,0,DHT 5C,1581,FON,6731,XQP,1889,,0,DHT 5C,1581,GLF,1879,PJM,5847,,0,DHT 5C,1581,LIR,1881,SJO,1885,,0,DHT 5C,1581,LIR,1881,SYQ,5848,,0,DHT 5C,1581,LIR,1881,TNO,5844,,0,DHT 5C,1581,MGA,1863,SJO,1885,,0,DHT 5C,1581,NOB,1884,TMU,6732,,0,CNA 5C,1581,PJM,5847,SJO,1885,,0,DHT 5C,1581,PMZ,1887,SJO,1885,,0,CNA 5C,1581,SJO,1885,BOC,1865,,0,DHT 5C,1581,SJO,1885,DRK,6945,,0,DHT 5C,1581,SJO,1885,FON,6731,,0,DHT 5C,1581,SJO,1885,GLF,1879,,0,DHT 5C,1581,SJO,1885,MGA,1863,,0,DHT 5C,1581,SJO,1885,NOB,1884,,0,CNA 5C,1581,SJO,1885,PJM,5847,,0,DHT 5C,1581,SJO,1885,TMU,6732,,0,DHT 5C,1581,SJO,1885,TNO,5844,,0,DHT 5C,1581,SJO,1885,TTQ,5842,,0,CNA 5C,1581,SJO,1885,XQP,1889,,0,CNA DHT 5C,1581,SYQ,5848,LIR,1881,,0,DHT 5C,1581,TMU,6732,SJO,1885,,0,CNA DHT 5C,1581,TNO,5844,LIR,1881,,0,DHT 5C,1581,TNO,5844,SJO,1885,,0,DHT 5C,1581,TTQ,5842,SJO,1885,,0,CNA 5C,1581,XQP,1889,PMZ,1887,,0,CNA 5C,1581,XQP,1889,SJO,1885,,0,CNA DHT 5G,4496,ACC,248,KMS,5556,,0,AT7 5G,4496,KMS,5556,ACC,248,,0,AT7 5H,8576,EDL,1138,LOK,1143,,0,DH8 5H,8576,EDL,1138,NBO,4059,,0,DH8 CRJ 5H,8576,JUB,1173,NBO,4059,,0,CRJ 5H,8576,KIS,1140,EDL,1138,,0,CRJ 5H,8576,KIS,1140,NBO,4059,,0,CRJ CNA 5H,8576,LAU,1144,MYD,5694,,0,DH8 5H,8576,LOK,1143,EDL,1138,,0,DH8 5H,8576,MBA,1145,NBO,4059,,0,CRJ 5H,8576,MBA,1145,ZNZ,1186,,0,CRJ 5H,8576,MYD,5694,LAU,1144,,0,DH8 5H,8576,MYD,5694,NBO,4059,,0,DH8 5H,8576,NBO,4059,EDL,1138,,0,DH8 CRJ 5H,8576,NBO,4059,JUB,1173,,0,CRJ 5H,8576,NBO,4059,KIS,1140,,0,CRJ 5H,8576,NBO,4059,LOK,1143,,0,DH8 5H,8576,NBO,4059,MBA,1145,,0,CRJ 5H,8576,NBO,4059,MYD,5694,,0,DH8 5H,8576,ZNZ,1186,MBA,1145,,0,CRJ 5J,1683,BCD,2423,CEB,4206,,0,320 ATR 5J,1683,BCD,2423,CGY,2400,,0,ATR 5J,1683,BCD,2423,DVO,4090,,0,320 5J,1683,BCD,2423,MNL,2397,,0,320 319 5J,1683,BKI,3269,MNL,2397,,0,320 5J,1683,BKK,3885,MNL,2397,,0,320 5J,1683,BWN,3272,MNL,2397,,0,320 5J,1683,BXU,4200,CEB,4206,,0,319 5J,1683,BXU,4200,MNL,2397,,0,320 5J,1683,CAN,3370,MNL,2397,,0,320 5J,1683,CBO,2399,MNL,2397,,0,319 320 5J,1683,CEB,4206,BCD,2423,,0,320 ATR 5J,1683,CEB,4206,BXU,4200,,0,319 5J,1683,CEB,4206,CGM,6012,,0,ATR 5J,1683,CEB,4206,CGY,2400,,0,ATR 320 319 5J,1683,CEB,4206,CRK,4140,,0,319 5J,1683,CEB,4206,DGT,2425,,0,ATR 5J,1683,CEB,4206,DPL,4201,,0,ATR 5J,1683,CEB,4206,DVO,4090,,0,320 319 5J,1683,CEB,4206,GES,2402,,0,320 5J,1683,CEB,4206,HKG,3077,,0,320 5J,1683,CEB,4206,IAO,6974,,0,ATR 5J,1683,CEB,4206,ICN,3930,,0,320 5J,1683,CEB,4206,ILO,2429,,0,319 320 5J,1683,CEB,4206,KLO,2430,,0,320 5J,1683,CEB,4206,LGP,4203,,0,ATR 5J,1683,CEB,4206,MNL,2397,,0,319 320 330 ATR 5J,1683,CEB,4206,MPH,2426,,0,ATR 5J,1683,CEB,4206,OZC,4204,,0,ATR 5J,1683,CEB,4206,PAG,2401,,0,ATR 5J,1683,CEB,4206,PPS,2433,,0,320 5J,1683,CEB,4206,PUS,2372,,0,320 5J,1683,CEB,4206,SIN,3316,,0,320 5J,1683,CEB,4206,SUG,6016,,0,ATR 5J,1683,CEB,4206,TAC,2422,,0,ATR 319 5J,1683,CEB,4206,USU,4199,,0,ATR 5J,1683,CEB,4206,ZAM,2404,,0,319 5J,1683,CGK,3275,MNL,2397,,0,320 5J,1683,CGM,6012,CEB,4206,,0,ATR 5J,1683,CGY,2400,BCD,2423,,0,ATR 5J,1683,CGY,2400,CEB,4206,,0,320 ATR 319 5J,1683,CGY,2400,DVO,4090,,0,ATR 5J,1683,CGY,2400,ILO,2429,,0,319 5J,1683,CGY,2400,MNL,2397,,0,320 319 5J,1683,CRK,4140,CEB,4206,,0,319 5J,1683,CRK,4140,HKG,3077,,0,319 5J,1683,CRK,4140,MFM,3121,,0,319 5J,1683,CRK,4140,SIN,3316,,0,319 5J,1683,CYZ,6733,MNL,2397,,0,319 5J,1683,DGT,2425,CEB,4206,,0,ATR 5J,1683,DGT,2425,MNL,2397,,0,319 5J,1683,DPL,4201,CEB,4206,,0,ATR 5J,1683,DPL,4201,DVO,4090,,0,ATR 5J,1683,DPL,4201,MNL,2397,,0,320 319 5J,1683,DPS,3940,MNL,2397,,0,320 5J,1683,DVO,4090,BCD,2423,,0,320 5J,1683,DVO,4090,CEB,4206,,0,320 319 5J,1683,DVO,4090,CGY,2400,,0,ATR 5J,1683,DVO,4090,DPL,4201,,0,ATR 5J,1683,DVO,4090,ILO,2429,,0,320 319 5J,1683,DVO,4090,MNL,2397,,0,320 330 5J,1683,DVO,4090,PPS,2433,,0,319 5J,1683,DVO,4090,ZAM,2404,,0,319 5J,1683,DXB,2188,MNL,2397,,0,330 5J,1683,GES,2402,CEB,4206,,0,320 5J,1683,GES,2402,ILO,2429,,0,319 5J,1683,GES,2402,MNL,2397,,0,320 5J,1683,HAN,3199,MNL,2397,,0,319 5J,1683,HKG,3077,CEB,4206,,0,320 5J,1683,HKG,3077,CRK,4140,,0,319 5J,1683,HKG,3077,ILO,2429,,0,319 5J,1683,HKG,3077,MNL,2397,,0,320 5J,1683,HKT,3179,MNL,2397,,0,320 5J,1683,IAO,6974,CEB,4206,,0,ATR 5J,1683,ICN,3930,CEB,4206,,0,320 5J,1683,ICN,3930,KLO,2430,,0,320 5J,1683,ICN,3930,MNL,2397,,0,330 5J,1683,ILO,2429,CEB,4206,,0,319 320 5J,1683,ILO,2429,CGY,2400,,0,319 5J,1683,ILO,2429,DVO,4090,,0,320 319 5J,1683,ILO,2429,GES,2402,,0,319 5J,1683,ILO,2429,HKG,3077,,0,319 5J,1683,ILO,2429,MNL,2397,,0,320 319 5J,1683,ILO,2429,PPS,2433,,0,319 5J,1683,ILO,2429,SIN,3316,,0,319 5J,1683,KIX,3992,MNL,2397,,0,320 5J,1683,KLO,2430,CEB,4206,,0,320 5J,1683,KLO,2430,ICN,3930,,0,320 5J,1683,KLO,2430,MNL,2397,,0,320 ATR 319 5J,1683,KUL,3304,MNL,2397,,0,320 5J,1683,LAO,4202,MNL,2397,,0,319 5J,1683,LGP,4203,CEB,4206,,0,ATR 5J,1683,LGP,4203,MNL,2397,,0,320 319 5J,1683,MFM,3121,CRK,4140,,0,319 5J,1683,MFM,3121,MNL,2397,,0,319 5J,1683,MNL,2397,BCD,2423,,0,320 319 5J,1683,MNL,2397,BKI,3269,,0,320 5J,1683,MNL,2397,BKK,3885,,0,320 5J,1683,MNL,2397,BWN,3272,,0,320 5J,1683,MNL,2397,BXU,4200,,0,320 5J,1683,MNL,2397,CAN,3370,,0,320 5J,1683,MNL,2397,CBO,2399,,0,319 320 5J,1683,MNL,2397,CEB,4206,,0,319 320 330 ATR 5J,1683,MNL,2397,CGK,3275,,0,320 5J,1683,MNL,2397,CGY,2400,,0,320 319 5J,1683,MNL,2397,CYZ,6733,,0,319 5J,1683,MNL,2397,DGT,2425,,0,319 5J,1683,MNL,2397,DPL,4201,,0,320 319 5J,1683,MNL,2397,DPS,3940,,0,320 5J,1683,MNL,2397,DVO,4090,,0,320 330 5J,1683,MNL,2397,DXB,2188,,0,330 5J,1683,MNL,2397,GES,2402,,0,320 5J,1683,MNL,2397,HAN,3199,,0,319 5J,1683,MNL,2397,HKG,3077,,0,320 5J,1683,MNL,2397,HKT,3179,,0,320 5J,1683,MNL,2397,ICN,3930,,0,330 5J,1683,MNL,2397,ILO,2429,,0,320 319 5J,1683,MNL,2397,KIX,3992,,0,320 5J,1683,MNL,2397,KLO,2430,,0,320 ATR 319 5J,1683,MNL,2397,KUL,3304,,0,320 5J,1683,MNL,2397,LAO,4202,,0,319 5J,1683,MNL,2397,LGP,4203,,0,320 319 5J,1683,MNL,2397,MFM,3121,,0,319 5J,1683,MNL,2397,MPH,2426,,0,ATR 5J,1683,MNL,2397,NGO,3942,,0,320 5J,1683,MNL,2397,NRT,2279,,0,320 5J,1683,MNL,2397,OZC,4204,,0,320 5J,1683,MNL,2397,PAG,2401,,0,319 320 5J,1683,MNL,2397,PEK,3364,,0,320 5J,1683,MNL,2397,PPS,2433,,0,320 319 5J,1683,MNL,2397,PUS,2372,,0,320 5J,1683,MNL,2397,PVG,3406,,0,320 5J,1683,MNL,2397,REP,3035,,0,320 5J,1683,MNL,2397,RXS,6026,,0,320 5J,1683,MNL,2397,SGN,3205,,0,320 5J,1683,MNL,2397,SIN,3316,,0,330 320 5J,1683,MNL,2397,SJI,2409,,0,319 5J,1683,MNL,2397,TAC,2422,,0,320 5J,1683,MNL,2397,TAG,3994,,0,319 5J,1683,MNL,2397,TPE,2276,,0,320 5J,1683,MNL,2397,TUG,6021,,0,319 5J,1683,MNL,2397,USU,4199,,0,ATR 5J,1683,MNL,2397,VRC,6022,,0,319 5J,1683,MNL,2397,WNP,6018,,0,ATR 5J,1683,MNL,2397,XMN,3383,,0,320 5J,1683,MNL,2397,ZAM,2404,,0,320 5J,1683,MPH,2426,CEB,4206,,0,ATR 5J,1683,MPH,2426,MNL,2397,,0,ATR 5J,1683,NGO,3942,MNL,2397,,0,320 5J,1683,NRT,2279,MNL,2397,,0,320 5J,1683,OZC,4204,CEB,4206,,0,ATR 5J,1683,OZC,4204,MNL,2397,,0,320 5J,1683,PAG,2401,CEB,4206,,0,ATR 5J,1683,PAG,2401,MNL,2397,,0,319 320 5J,1683,PEK,3364,MNL,2397,,0,320 5J,1683,PPS,2433,CEB,4206,,0,320 5J,1683,PPS,2433,DVO,4090,,0,319 5J,1683,PPS,2433,ILO,2429,,0,319 5J,1683,PPS,2433,MNL,2397,,0,320 319 5J,1683,PUS,2372,CEB,4206,,0,320 5J,1683,PUS,2372,MNL,2397,,0,320 5J,1683,PVG,3406,MNL,2397,,0,320 5J,1683,REP,3035,MNL,2397,,0,320 5J,1683,RXS,6026,MNL,2397,,0,320 5J,1683,SGN,3205,MNL,2397,,0,320 5J,1683,SIN,3316,CEB,4206,,0,320 5J,1683,SIN,3316,CRK,4140,,0,319 5J,1683,SIN,3316,ILO,2429,,0,319 5J,1683,SIN,3316,MNL,2397,,0,320 330 5J,1683,SJI,2409,MNL,2397,,0,319 5J,1683,SUG,6016,CEB,4206,,0,ATR 5J,1683,TAC,2422,CEB,4206,,0,ATR 319 5J,1683,TAC,2422,MNL,2397,,0,320 5J,1683,TAG,3994,MNL,2397,,0,319 5J,1683,TPE,2276,MNL,2397,,0,320 5J,1683,TUG,6021,MNL,2397,,0,319 5J,1683,USU,4199,CEB,4206,,0,ATR 5J,1683,USU,4199,MNL,2397,,0,ATR 5J,1683,VRC,6022,MNL,2397,,0,319 5J,1683,WNP,6018,MNL,2397,,0,ATR 5J,1683,XMN,3383,MNL,2397,,0,320 5J,1683,ZAM,2404,CEB,4206,,0,319 5J,1683,ZAM,2404,DVO,4090,,0,319 5J,1683,ZAM,2404,MNL,2397,,0,320 5M,4436,ANU,2874,NEV,6079,,0,BNI 5M,4436,NEV,6079,ANU,2874,,0,BNI 5N,503,ARH,4362,CSH,6110,Y,0,AN4 5N,503,ARH,4362,LED,2948,,0,735 5N,503,ARH,4362,MMK,2949,Y,0,AN4 5N,503,ARH,4362,NNM,4371,,0,AT5 5N,503,ARH,4362,SVO,2985,,0,735 5N,503,ARH,4362,USK,4369,Y,0,AN4 5N,503,CSH,6110,ARH,4362,Y,0,AN4 5N,503,LED,2948,ARH,4362,,0,735 5N,503,LED,2948,MMK,2949,,0,735 5N,503,LED,2948,SCW,2989,,0,735 5N,503,MMK,2949,ARH,4362,Y,0,AN4 5N,503,MMK,2949,LED,2948,,0,735 5N,503,MMK,2949,SVO,2985,,0,735 5N,503,MMK,2949,TOS,663,Y,0,AN4 5N,503,NNM,4371,ARH,4362,,0,AT5 5N,503,SCW,2989,LED,2948,,0,735 5N,503,SCW,2989,SVO,2985,,0,735 5N,503,SVO,2985,ARH,4362,,0,735 5N,503,SVO,2985,MMK,2949,,0,735 5N,503,SVO,2985,SCW,2989,,0,735 5N,503,TOS,663,MMK,2949,Y,0,AN4 5N,503,USK,4369,ARH,4362,Y,0,AN4 5P,10650,ANF,2651,IQQ,2649,,0,737 5P,10650,CCP,2656,SCL,2650,,0,737 5P,10650,IQQ,2649,SCL,2650,,0,737 5P,10650,SCL,2650,ANF,2651,,0,737 5Q,18232,AEP,2442,MVD,2816,,0,AT7 5Q,18232,AEP,2442,PDP,6777,,0,AT7 5Q,18232,ASU,2699,MVD,2816,,0,AT7 5Q,18232,CWB,2545,MVD,2816,,0,AT7 5Q,18232,EZE,3988,MVD,2816,,0,AT7 5Q,18232,GIG,2560,MVD,2816,,0,AT7 319 5Q,18232,GRU,2564,MVD,2816,,0,AT7 319 5Q,18232,MVD,2816,AEP,2442,,0,AT7 5Q,18232,MVD,2816,ASU,2699,,0,AT7 5Q,18232,MVD,2816,CWB,2545,,0,AT7 5Q,18232,MVD,2816,EZE,3988,,0,AT7 5Q,18232,MVD,2816,GIG,2560,,0,AT7 319 5Q,18232,MVD,2816,GRU,2564,,0,319 AT7 5Q,18232,MVD,2816,POA,2599,,0,AT7 5Q,18232,MVD,2816,SCL,2650,,0,319 5Q,18232,PDP,6777,AEP,2442,,0,AT7 5Q,18232,POA,2599,MVD,2816,,0,AT7 5Q,18232,SCL,2650,MVD,2816,,0,319 5T,1623,YBK,29,YCS,5487,Y,0,ATR 5T,1623,YBK,29,YXN,5534,Y,0,ATR 5T,1623,YCB,32,YCO,37,,0,DH8 73M 5T,1623,YCB,32,YYH,183,,0,DH8 5T,1623,YCB,32,YZF,196,,0,DH8 73M 5T,1623,YCO,37,YCB,32,,0,DH8 73M 5T,1623,YCO,37,YZF,196,,0,DH8 73M 5T,1623,YCS,5487,YBK,29,Y,0,AT4 5T,1623,YCS,5487,YRT,132,Y,0,ATR AT4 5T,1623,YCY,40,YFB,55,,0,DH8 5T,1623,YCY,40,YIO,75,,0,DH8 5T,1623,YEG,49,YZF,196,,0,73M 733 5T,1623,YEK,50,YXN,5534,Y,0,ATR AT4 5T,1623,YEK,50,YYQ,187,Y,0,ATR AT4 5T,1623,YEV,54,YVQ,155,,0,73M 733 5T,1623,YFB,55,YCY,40,,0,DH8 5T,1623,YFB,55,YGT,5495,,0,BE1 DH8 5T,1623,YFB,55,YOW,100,,0,73M 5T,1623,YFB,55,YRT,132,,0,73M 5T,1623,YFB,55,YTE,140,,0,BE1 DH8 5T,1623,YFB,55,YUX,148,,0,BE1 DH8 5T,1623,YFB,55,YXP,170,,0,DH8 5T,1623,YGT,5495,YFB,55,,0,DH8 5T,1623,YGT,5495,YIO,75,,0,DH8 5T,1623,YGT,5495,YUX,148,,0,DH8 BE1 5T,1623,YHK,69,YYH,183,,0,DH8 5T,1623,YHK,69,YZF,196,,0,DH8 5T,1623,YIO,75,YCY,40,,0,DH8 5T,1623,YIO,75,YGT,5495,,0,DH8 5T,1623,YOW,100,YFB,55,,0,73M 5T,1623,YRT,132,YBK,29,Y,0,AT4 5T,1623,YRT,132,YCS,5487,Y,0,ATR AT4 5T,1623,YRT,132,YEK,50,,1,ATR 5T,1623,YRT,132,YFB,55,,0,73M 5T,1623,YRT,132,YUT,147,Y,0,AT4 5T,1623,YRT,132,YYQ,187,Y,0,ATR FRJ AT4 5T,1623,YRT,132,YZF,196,,0,73M 5T,1623,YRT,132,YZS,41,Y,0,ATR AT4 5T,1623,YTE,140,YFB,55,,0,BE1 DH8 5T,1623,YTH,141,YYQ,187,Y,0,ATR 5T,1623,YUX,148,YFB,55,,0,DH8 BE1 5T,1623,YUX,148,YGT,5495,,0,BE1 DH8 5T,1623,YVM,152,YXP,170,,0,DH8 5T,1623,YVQ,155,YEV,54,,0,73M 733 5T,1623,YVQ,155,YZF,196,,0,73M 733 5T,1623,YWG,160,YRT,132,Y,0,FRJ ATR 5T,1623,YWG,160,YYQ,187,Y,0,FRJ 5T,1623,YXN,5534,YRT,132,Y,0,ATR AT4 5T,1623,YXP,170,YFB,55,,0,DH8 5T,1623,YXP,170,YVM,152,,0,DH8 5T,1623,YYH,183,YCB,32,,0,DH8 5T,1623,YYH,183,YHK,69,,0,DH8 5T,1623,YYQ,187,YEK,50,Y,0,ATR 5T,1623,YYQ,187,YRT,132,Y,0,ATR AT4 FRJ 5T,1623,YYQ,187,YTH,141,Y,0,AT4 5T,1623,YYQ,187,YWG,160,Y,0,ATR FRJ AT4 5T,1623,YZF,196,YCB,32,,0,DH8 73M 5T,1623,YZF,196,YCO,37,,0,DH8 73M 5T,1623,YZF,196,YEG,49,,0,73M 733 5T,1623,YZF,196,YHK,69,,0,DH8 5T,1623,YZF,196,YRT,132,,0,73M 5T,1623,YZF,196,YVQ,155,,0,73M 733 5T,1623,YZF,196,YYH,183,,0,DH8 5T,1623,YZS,41,YRT,132,Y,0,ATR 5T,1623,YZS,41,YUT,147,Y,0,AT4 5U,\N,BZE,1957,FRS,4024,,0,CNA 5U,\N,FRS,4024,BZE,1957,,0,CNA 5U,\N,FRS,4024,GUA,1767,,0,EMB SF3 5U,\N,GUA,1767,FRS,4024,,0,SF3 EMB 5U,\N,GUA,1767,SAP,1772,,0,SF3 5U,\N,GUA,1767,TGU,1776,,0,SF3 5U,\N,RTB,1774,GUA,1767,,0,SF3 5U,\N,SAP,1772,GUA,1767,,0,SF3 5U,\N,TGU,1776,GUA,1767,,0,SF3 5Z,18946,CPT,797,PBZ,\N,,0,BEH 5Z,18946,ELL,8492,JNB,813,,0,BEH 5Z,18946,JNB,813,ELL,8492,,0,BEH 5Z,18946,JNB,813,MGH,827,,0,BEH 5Z,18946,MGH,827,JNB,813,,0,BEH 5Z,18946,PBZ,\N,CPT,797,,0,BEH 5Z,18946,PBZ,\N,JNB,813,,0,BEH 6E,2850,AMD,2994,BLR,3131,,0,320 6E,2850,AMD,2994,BOM,2997,,0,320 6E,2850,AMD,2994,CCU,3043,,0,320 6E,2850,AMD,2994,DEL,3093,,0,320 6E,2850,AMD,2994,GOI,3007,,0,320 6E,2850,AMD,2994,HYD,\N,,0,320 6E,2850,AMD,2994,JAI,3098,,0,320 6E,2850,AMD,2994,MAA,3144,,0,320 6E,2850,AMD,2994,PNQ,3017,,0,320 6E,2850,BBI,3042,BLR,3131,,0,320 6E,2850,BBI,3042,BOM,2997,,0,320 6E,2850,BBI,3042,CCU,3043,,0,320 6E,2850,BBI,3042,DEL,3093,,0,320 6E,2850,BBI,3042,HYD,\N,,0,320 6E,2850,BBI,3042,VTZ,3066,,0,320 6E,2850,BDQ,3001,BOM,2997,,0,320 6E,2850,BDQ,3001,DEL,3093,,0,320 6E,2850,BKK,3885,CCU,3043,,0,320 6E,2850,BKK,3885,DEL,3093,,0,320 6E,2850,BLR,3131,AMD,2994,,0,320 6E,2850,BLR,3131,BBI,3042,,0,320 6E,2850,BLR,3131,BOM,2997,,0,320 6E,2850,BLR,3131,CCU,3043,,0,320 6E,2850,BLR,3131,COK,3136,,0,320 6E,2850,BLR,3131,DEL,3093,,0,320 6E,2850,BLR,3131,GAU,6173,,0,320 6E,2850,BLR,3131,GOI,3007,,0,320 6E,2850,BLR,3131,HYD,\N,,0,320 6E,2850,BLR,3131,JAI,3098,,0,320 6E,2850,BLR,3131,LKO,3105,,0,320 6E,2850,BLR,3131,MAA,3144,,0,320 6E,2850,BLR,3131,NAG,3015,,0,320 6E,2850,BLR,3131,PNQ,3017,,0,320 6E,2850,BLR,3131,TRV,3153,,0,320 6E,2850,BLR,3131,VTZ,3066,,0,320 6E,2850,BOM,2997,AMD,2994,,0,320 6E,2850,BOM,2997,BBI,3042,,0,320 6E,2850,BOM,2997,BDQ,3001,,0,320 6E,2850,BOM,2997,BLR,3131,,0,320 6E,2850,BOM,2997,CCU,3043,,0,320 6E,2850,BOM,2997,CJB,3135,,0,320 6E,2850,BOM,2997,COK,3136,,0,320 6E,2850,BOM,2997,DEL,3093,,0,320 6E,2850,BOM,2997,DXB,2188,,0,320 6E,2850,BOM,2997,GAU,6173,,0,320 6E,2850,BOM,2997,GOI,3007,,0,320 6E,2850,BOM,2997,HYD,\N,,0,320 6E,2850,BOM,2997,IDR,3008,,0,320 6E,2850,BOM,2997,IXC,3089,,0,320 6E,2850,BOM,2997,IXJ,3100,,0,320 6E,2850,BOM,2997,JAI,3098,,0,320 6E,2850,BOM,2997,LKO,3105,,0,320 6E,2850,BOM,2997,MAA,3144,,0,320 6E,2850,BOM,2997,MCT,2194,,0,320 6E,2850,BOM,2997,NAG,3015,,0,320 6E,2850,BOM,2997,PAT,3061,,0,320 6E,2850,BOM,2997,SXR,3112,,0,320 6E,2850,BOM,2997,TRV,3153,,0,320 6E,2850,CCU,3043,AMD,2994,,0,320 6E,2850,CCU,3043,BBI,3042,,0,320 6E,2850,CCU,3043,BKK,3885,,0,320 6E,2850,CCU,3043,BLR,3131,,0,320 6E,2850,CCU,3043,BOM,2997,,0,320 6E,2850,CCU,3043,DEL,3093,,0,320 6E,2850,CCU,3043,DIB,3057,,0,320 6E,2850,CCU,3043,GAU,6173,,0,320 6E,2850,CCU,3043,HYD,\N,,0,320 6E,2850,CCU,3043,IMF,3050,,0,320 6E,2850,CCU,3043,IXA,3038,,0,320 6E,2850,CCU,3043,IXB,3040,,0,320 6E,2850,CCU,3043,IXR,3063,,0,320 6E,2850,CCU,3043,JAI,3098,,0,320 6E,2850,CCU,3043,MAA,3144,,0,320 6E,2850,CCU,3043,NAG,3015,,0,320 6E,2850,CCU,3043,PAT,3061,,0,320 6E,2850,CCU,3043,PNQ,3017,,0,320 6E,2850,CCU,3043,RPR,3020,,0,320 6E,2850,CJB,3135,BOM,2997,,0,320 6E,2850,CJB,3135,DEL,3093,,0,320 6E,2850,CJB,3135,MAA,3144,,0,320 6E,2850,COK,3136,BLR,3131,,0,320 6E,2850,COK,3136,BOM,2997,,0,320 6E,2850,COK,3136,DEL,3093,,0,320 6E,2850,COK,3136,DXB,2188,,0,320 6E,2850,COK,3136,HYD,\N,,0,320 6E,2850,COK,3136,MAA,3144,,0,320 6E,2850,COK,3136,TRV,3153,,0,320 6E,2850,DEL,3093,AMD,2994,,0,320 6E,2850,DEL,3093,BBI,3042,,0,320 6E,2850,DEL,3093,BDQ,3001,,0,320 6E,2850,DEL,3093,BKK,3885,,0,320 6E,2850,DEL,3093,BLR,3131,,0,320 6E,2850,DEL,3093,BOM,2997,,0,320 6E,2850,DEL,3093,CCU,3043,,0,320 6E,2850,DEL,3093,CJB,3135,,0,320 6E,2850,DEL,3093,COK,3136,,0,320 6E,2850,DEL,3093,DIB,3057,,0,320 6E,2850,DEL,3093,DXB,2188,,0,320 6E,2850,DEL,3093,GAU,6173,,0,320 6E,2850,DEL,3093,GOI,3007,,0,320 6E,2850,DEL,3093,HYD,\N,,0,320 6E,2850,DEL,3093,IDR,3008,,0,320 6E,2850,DEL,3093,IXB,3040,,0,320 6E,2850,DEL,3093,IXJ,3100,,0,320 6E,2850,DEL,3093,IXR,3063,,0,320 6E,2850,DEL,3093,KTM,3125,,0,320 6E,2850,DEL,3093,LKO,3105,,0,320 6E,2850,DEL,3093,MAA,3144,,0,320 6E,2850,DEL,3093,NAG,3015,,0,320 6E,2850,DEL,3093,PAT,3061,,0,320 6E,2850,DEL,3093,PNQ,3017,,0,320 6E,2850,DEL,3093,RPR,3020,,0,320 6E,2850,DEL,3093,SXR,3112,,0,320 6E,2850,DEL,3093,VNS,3084,,0,320 6E,2850,DIB,3057,CCU,3043,,0,320 6E,2850,DIB,3057,GAU,6173,,0,320 6E,2850,DXB,2188,BOM,2997,,0,320 6E,2850,DXB,2188,COK,3136,,0,320 6E,2850,DXB,2188,DEL,3093,,0,320 6E,2850,DXB,2188,HYD,\N,,0,320 6E,2850,DXB,2188,MAA,3144,,0,320 6E,2850,DXB,2188,TRV,3153,,0,320 6E,2850,GAU,6173,BLR,3131,,0,320 6E,2850,GAU,6173,BOM,2997,,0,320 6E,2850,GAU,6173,CCU,3043,,0,320 6E,2850,GAU,6173,DEL,3093,,0,320 6E,2850,GAU,6173,IMF,3050,,0,320 6E,2850,GAU,6173,IXA,3038,,0,320 6E,2850,GAU,6173,IXB,3040,,0,320 6E,2850,GOI,3007,AMD,2994,,0,320 6E,2850,GOI,3007,BLR,3131,,0,320 6E,2850,GOI,3007,BOM,2997,,0,320 6E,2850,GOI,3007,DEL,3093,,0,320 6E,2850,GOI,3007,HYD,\N,,0,320 6E,2850,HYD,\N,AMD,2994,,0,320 6E,2850,HYD,\N,BBI,3042,,0,320 6E,2850,HYD,\N,BLR,3131,,0,320 6E,2850,HYD,\N,BOM,2997,,0,320 6E,2850,HYD,\N,CCU,3043,,0,320 6E,2850,HYD,\N,COK,3136,,0,320 6E,2850,HYD,\N,DEL,3093,,0,320 6E,2850,HYD,\N,DXB,2188,,0,320 6E,2850,HYD,\N,GOI,3007,,0,320 6E,2850,HYD,\N,JAI,3098,,0,320 6E,2850,HYD,\N,MAA,3144,,0,320 6E,2850,HYD,\N,PNQ,3017,,0,320 6E,2850,HYD,\N,RPR,3020,,0,320 6E,2850,HYD,\N,VTZ,3066,,0,320 6E,2850,IDR,3008,BOM,2997,,0,320 6E,2850,IDR,3008,DEL,3093,,0,320 6E,2850,IDR,3008,NAG,3015,,0,320 6E,2850,IDR,3008,RPR,3020,,0,320 6E,2850,IMF,3050,CCU,3043,,0,320 6E,2850,IMF,3050,GAU,6173,,0,320 6E,2850,IMF,3050,IXA,3038,,0,320 6E,2850,IXA,3038,CCU,3043,,0,320 6E,2850,IXA,3038,GAU,6173,,0,320 6E,2850,IXA,3038,IMF,3050,,0,320 6E,2850,IXB,3040,CCU,3043,,0,320 6E,2850,IXB,3040,DEL,3093,,0,320 6E,2850,IXB,3040,GAU,6173,,0,320 6E,2850,IXC,3089,BOM,2997,,0,320 6E,2850,IXJ,3100,DEL,3093,,0,320 6E,2850,IXJ,3100,SXR,3112,,0,320 6E,2850,IXR,3063,BOM,2997,,0,320 6E,2850,IXR,3063,CCU,3043,,0,320 6E,2850,IXR,3063,DEL,3093,,0,320 6E,2850,IXR,3063,PAT,3061,,0,320 6E,2850,JAI,3098,AMD,2994,,0,320 6E,2850,JAI,3098,BLR,3131,,0,320 6E,2850,JAI,3098,BOM,2997,,0,320 6E,2850,JAI,3098,CCU,3043,,0,320 6E,2850,JAI,3098,HYD,\N,,0,320 6E,2850,KTM,3125,DEL,3093,,0,320 6E,2850,LKO,3105,BLR,3131,,0,320 6E,2850,LKO,3105,BOM,2997,,0,320 6E,2850,LKO,3105,DEL,3093,,0,320 6E,2850,LKO,3105,PAT,3061,,0,320 6E,2850,MAA,3144,AMD,2994,,0,320 6E,2850,MAA,3144,BLR,3131,,0,320 6E,2850,MAA,3144,BOM,2997,,0,320 6E,2850,MAA,3144,CCU,3043,,0,320 6E,2850,MAA,3144,CJB,3135,,0,320 6E,2850,MAA,3144,COK,3136,,0,320 6E,2850,MAA,3144,DEL,3093,,0,320 6E,2850,MAA,3144,DXB,2188,,0,320 6E,2850,MAA,3144,HYD,\N,,0,320 6E,2850,MAA,3144,PNQ,3017,,0,320 6E,2850,MAA,3144,SIN,3316,,0,320 6E,2850,MAA,3144,TRV,3153,,0,320 6E,2850,MAA,3144,VTZ,3066,,0,320 6E,2850,MCT,2194,BOM,2997,,0,320 6E,2850,NAG,3015,BLR,3131,,0,320 6E,2850,NAG,3015,BOM,2997,,0,320 6E,2850,NAG,3015,CCU,3043,,0,320 6E,2850,NAG,3015,DEL,3093,,0,320 6E,2850,NAG,3015,IDR,3008,,0,320 6E,2850,NAG,3015,PNQ,3017,,0,320 6E,2850,PAT,3061,CCU,3043,,0,320 6E,2850,PAT,3061,DEL,3093,,0,320 6E,2850,PAT,3061,IXR,3063,,0,320 6E,2850,PAT,3061,LKO,3105,,0,320 6E,2850,PNQ,3017,AMD,2994,,0,320 6E,2850,PNQ,3017,BLR,3131,,0,320 6E,2850,PNQ,3017,CCU,3043,,0,320 6E,2850,PNQ,3017,DEL,3093,,0,320 6E,2850,PNQ,3017,HYD,\N,,0,320 6E,2850,PNQ,3017,MAA,3144,,0,320 6E,2850,PNQ,3017,NAG,3015,,0,320 6E,2850,RPR,3020,CCU,3043,,0,320 6E,2850,RPR,3020,DEL,3093,,0,320 6E,2850,RPR,3020,HYD,\N,,0,320 6E,2850,RPR,3020,IDR,3008,,0,320 6E,2850,SIN,3316,MAA,3144,,0,320 6E,2850,SXR,3112,BOM,2997,,0,320 6E,2850,SXR,3112,DEL,3093,,0,320 6E,2850,SXR,3112,IXJ,3100,,0,320 6E,2850,TRV,3153,BLR,3131,,0,320 6E,2850,TRV,3153,BOM,2997,,0,320 6E,2850,TRV,3153,COK,3136,,0,320 6E,2850,TRV,3153,DXB,2188,,0,320 6E,2850,TRV,3153,MAA,3144,,0,320 6E,2850,VNS,3084,DEL,3093,,0,320 6E,2850,VTZ,3066,BBI,3042,,0,320 6E,2850,VTZ,3066,BLR,3131,,0,320 6E,2850,VTZ,3066,HYD,\N,,0,320 6E,2850,VTZ,3066,MAA,3144,,0,320 6H,2954,ETH,1594,SDV,1605,,0,AT4 6H,2954,ETH,1594,TLV,1590,,0,320 6H,2954,FCO,1555,TLV,1590,,0,320 6H,2954,NCE,1354,TLV,1590,,0,320 6H,2954,SDV,1605,ETH,1594,,0,AT4 6H,2954,SXF,337,TLV,1590,,0,320 6H,2954,TBS,3973,TLV,1590,,0,320 6H,2954,TLV,1590,ETH,1594,,0,320 6H,2954,TLV,1590,FCO,1555,,0,320 6H,2954,TLV,1590,NCE,1354,,0,320 6H,2954,TLV,1590,SXF,337,,0,320 6H,2954,TLV,1590,TBS,3973,,0,320 6I,17095,CPH,609,SGD,619,,0,AT7 6I,17095,SGD,619,CPH,609,,0,AT7 6L,\N,YEV,54,YHI,68,,0,DHT 6L,\N,YEV,54,YPC,4244,,0,DHT 6L,\N,YEV,54,YSY,139,,0,DHT 6L,\N,YEV,54,YUB,145,,0,DHT 6L,\N,YEV,54,ZFM,206,,0,DHT 6L,\N,YHI,68,YEV,54,,0,DHT 6L,\N,YHI,68,YSY,139,,0,DHT 6L,\N,YPC,4244,YEV,54,,0,DHT 6L,\N,YSY,139,YEV,54,,0,DHT 6L,\N,YSY,139,YHI,68,,0,DHT 6L,\N,YUB,145,YEV,54,,0,DHT 6L,\N,ZFM,206,YEV,54,,0,DHT 6R,1340,DME,4029,KRR,2960,,0,738 73G 6R,1340,DME,4029,LED,2948,,0,738 6R,1340,DME,4029,MJZ,2925,,0,738 6R,1340,DME,4029,PYJ,6092,,0,TU5 6R,1340,IKT,2937,MJZ,2925,,0,738 6R,1340,IKT,2937,ULK,9026,,0,AN4 6R,1340,KJA,4374,MJZ,2925,,0,TU3 6R,1340,KRR,2960,DME,4029,,0,738 73G 6R,1340,KRR,2960,OVB,4078,,0,738 6R,1340,LED,2948,DME,4029,,0,738 6R,1340,LED,2948,OVB,4078,,0,738 6R,1340,MJZ,2925,DME,4029,,0,738 6R,1340,MJZ,2925,IKT,2937,,0,738 6R,1340,MJZ,2925,KJA,4374,,0,TU3 6R,1340,MJZ,2925,OVB,4078,,0,TU5 738 6R,1340,MJZ,2925,PYJ,6092,,0,AN4 6R,1340,MJZ,2925,YKS,2923,,0,TU3 AN4 6R,1340,OVB,4078,KRR,2960,,0,738 6R,1340,OVB,4078,LED,2948,,0,738 6R,1340,OVB,4078,MJZ,2925,,0,TU5 738 6R,1340,OVB,4078,PYJ,6092,,0,TU5 6R,1340,PYJ,6092,DME,4029,,0,TU5 6R,1340,PYJ,6092,MJZ,2925,,0,AN4 6R,1340,PYJ,6092,OVB,4078,,0,TU5 6R,1340,PYJ,6092,YKS,2923,,0,AN4 6R,1340,ULK,9026,IKT,2937,,0,AN4 6R,1340,ULK,9026,YKS,2923,,0,AN4 6R,1340,YKS,2923,MJZ,2925,,0,TU3 AN4 6R,1340,YKS,2923,PYJ,6092,,0,AN4 6R,1340,YKS,2923,ULK,9026,,0,AN4 6T,5813,AKY,3235,RGN,3239,,0,ATR 6T,5813,AKY,3235,SNW,3236,,0,ATR 6T,5813,HEH,3213,MDL,3222,,0,ATR 6T,5813,HEH,3213,RGN,3239,,0,ATR 6T,5813,KAW,6198,MGZ,3223,,0,ATR 6T,5813,MDL,3222,HEH,3213,,0,ATR 6T,5813,MDL,3222,NYU,3209,,0,ATR 6T,5813,MDL,3222,THL,3237,,0,ATR 6T,5813,MGZ,3223,KAW,6198,,0,ATR 6T,5813,MGZ,3223,TVY,6197,,0,ATR 6T,5813,NYU,3209,MDL,3222,,0,ATR 6T,5813,NYU,3209,RGN,3239,,0,ATR 6T,5813,RGN,3239,AKY,3235,,0,ATR 6T,5813,RGN,3239,HEH,3213,,0,ATR 6T,5813,RGN,3239,NYU,3209,,0,ATR 6T,5813,RGN,3239,SNW,3236,,0,ATR 6T,5813,RGN,3239,TVY,6197,,0,ATR 6T,5813,SNW,3236,AKY,3235,,0,ATR 6T,5813,SNW,3236,RGN,3239,,0,ATR 6T,5813,THL,3237,MDL,3222,,0,ATR 6T,5813,TVY,6197,MGZ,3223,,0,ATR 6T,5813,TVY,6197,RGN,3239,,0,ATR 6W,4805,DME,4029,RTW,4363,,0,YK2 E90 6W,4805,EVN,3964,RTW,4363,,0,YK2 6W,4805,MRV,2962,RTW,4363,,0,YK2 6W,4805,PRG,1587,RTW,4363,,0,E90 6W,4805,RTW,4363,DME,4029,,0,E90 YK2 6W,4805,RTW,4363,EVN,3964,,0,YK2 6W,4805,RTW,4363,MRV,2962,,0,YK2 6W,4805,RTW,4363,PRG,1587,,0,E90 6W,4805,RTW,4363,SVX,2975,,0,YK2 6W,4805,SVX,2975,RTW,4363,,0,YK2 6Y,11814,RIX,3953,TFS,1056,,0,320 6Y,11814,TFS,1056,RIX,3953,,0,320 7C,2994,BKK,3885,ICN,3930,,0,737 7C,2994,BKK,3885,PUS,2372,,0,737 7C,2994,CEB,4206,ICN,3930,,0,737 7C,2994,CEB,4206,PUS,2372,,0,737 7C,2994,CJJ,6008,CJU,2370,,0,737 7C,2994,CJU,2370,CJJ,6008,,0,737 7C,2994,CJU,2370,GMP,2378,,0,737 7C,2994,CJU,2370,PUS,2372,,0,737 7C,2994,FUK,2305,ICN,3930,,0,737 7C,2994,GMP,2378,CJU,2370,,0,737 738 7C,2994,GMP,2378,KIX,3992,,0,737 7C,2994,GMP,2378,NGO,3942,,0,737 7C,2994,GUM,2246,ICN,3930,,0,737 7C,2994,HKG,3077,ICN,3930,,0,737 7C,2994,ICN,3930,BKK,3885,,0,737 7C,2994,ICN,3930,CEB,4206,,0,737 7C,2994,ICN,3930,FUK,2305,,0,737 7C,2994,ICN,3930,GUM,2246,,0,737 7C,2994,ICN,3930,HKG,3077,,0,737 7C,2994,ICN,3930,KIX,3992,,0,737 7C,2994,ICN,3930,MNL,2397,,0,737 7C,2994,ICN,3930,NGO,3942,,0,737 7C,2994,ICN,3930,NRT,2279,,0,737 7C,2994,ICN,3930,TAO,3390,,0,737 7C,2994,KIX,3992,GMP,2378,,0,737 7C,2994,KIX,3992,ICN,3930,,0,737 7C,2994,MNL,2397,ICN,3930,,0,737 7C,2994,NGO,3942,GMP,2378,,0,737 7C,2994,NGO,3942,ICN,3930,,0,737 7C,2994,NRT,2279,ICN,3930,,0,737 7C,2994,PUS,2372,BKK,3885,,0,737 7C,2994,PUS,2372,CJU,2370,,0,737 7C,2994,TAO,3390,ICN,3930,,0,737 7E,563,GWT,410,HAM,342,,0,CNA 7E,563,HAM,342,GWT,410,,0,CNA 7F,2354,YAB,8225,YFB,55,,0,AT4 7F,2354,YAB,8225,YRB,128,,0,AT4 7F,2354,YBK,29,YRT,132,,0,AT4 7F,2354,YBK,29,YUT,147,,0,AT4 7F,2354,YCB,32,YCO,37,,0,AT7 7F,2354,YCB,32,YHK,69,,0,AT7 7F,2354,YCB,32,YZF,196,,0,AT7 73M 7F,2354,YCO,37,YCB,32,,0,AT7 7F,2354,YCO,37,YHI,68,,0,AT7 7F,2354,YCO,37,YZF,196,,0,AT7 7F,2354,YCS,5487,YRT,132,,0,AT4 7F,2354,YCS,5487,YZS,41,,0,AT4 7F,2354,YCY,40,YFB,55,,0,AT4 7F,2354,YCY,40,YIO,75,,0,AT4 7F,2354,YEG,49,YZF,196,,0,73M 737 7F,2354,YEK,50,YRT,132,,0,AT4 7F,2354,YEK,50,YXN,5534,,0,AT4 7F,2354,YEV,54,YVQ,155,,0,73M 7F,2354,YFB,55,YAB,8225,,0,AT4 7F,2354,YFB,55,YCY,40,,0,AT4 7F,2354,YFB,55,YGT,5495,,0,AT4 7F,2354,YFB,55,YLC,5509,Y,0,DHT 7F,2354,YFB,55,YOW,100,,0,73M 7F,2354,YFB,55,YRT,132,,0,73M 7F,2354,YFB,55,YTE,140,,0,AT4 7F,2354,YFB,55,YUX,148,,0,AT4 7F,2354,YFB,55,YVP,154,,0,73M 7F,2354,YFB,55,YXP,170,,0,AT4 7F,2354,YFS,60,YZF,196,,0,AT4 AT7 7F,2354,YGT,5495,YFB,55,,0,AT4 7F,2354,YGT,5495,YUX,148,,0,AT4 7F,2354,YHI,68,YCO,37,,0,AT7 7F,2354,YHK,69,YCB,32,,0,AT7 7F,2354,YHK,69,YYH,183,,0,AT7 7F,2354,YHY,72,YZF,196,,0,AT4 AT7 7F,2354,YIO,75,YCY,40,,0,AT4 7F,2354,YLC,5509,YFB,55,Y,0,DHT 7F,2354,YOW,100,YFB,55,,0,73M 7F,2354,YRB,128,YAB,8225,,0,AT4 7F,2354,YRT,132,YBK,29,,0,AT4 7F,2354,YRT,132,YCS,5487,,0,AT4 7F,2354,YRT,132,YEK,50,,0,AT4 7F,2354,YRT,132,YFB,55,,0,73M 7F,2354,YRT,132,YWG,160,,0,73M AT4 7F,2354,YRT,132,YXN,5534,,0,AT4 7F,2354,YRT,132,YZF,196,,0,73M 7F,2354,YTE,140,YFB,55,,0,AT4 7F,2354,YTE,140,YZS,41,,0,AT4 7F,2354,YUL,146,YVP,154,,0,73M 7F,2354,YUT,147,YBK,29,,0,AT4 7F,2354,YUX,148,YFB,55,,0,AT4 7F,2354,YUX,148,YGT,5495,,0,AT4 7F,2354,YVM,152,YXP,170,,0,AT4 7F,2354,YVP,154,YFB,55,,0,73M 7F,2354,YVP,154,YUL,146,,0,73M 7F,2354,YVQ,155,YEV,54,,0,73M 7F,2354,YVQ,155,YZF,196,,0,73M 7F,2354,YWG,160,YRT,132,,0,73M AT4 7F,2354,YXN,5534,YEK,50,,0,AT4 7F,2354,YXN,5534,YRT,132,,0,AT4 7F,2354,YXP,170,YFB,55,,0,AT4 7F,2354,YXP,170,YVM,152,,0,AT4 7F,2354,YYH,183,YHK,69,,0,AT7 7F,2354,YYH,183,YZF,196,,0,AT7 7F,2354,YZF,196,YCB,32,,0,73M AT7 7F,2354,YZF,196,YCO,37,,0,AT7 7F,2354,YZF,196,YEG,49,,0,73M 737 7F,2354,YZF,196,YFS,60,,0,AT4 AT7 7F,2354,YZF,196,YHK,69,,0,AT7 AT4 7F,2354,YZF,196,YHY,72,,0,AT4 AT7 7F,2354,YZF,196,YRT,132,,0,73M 7F,2354,YZF,196,YVQ,155,,0,73M 7F,2354,YZS,41,YCS,5487,,0,AT4 7F,2354,YZS,41,YTE,140,,0,AT4 7G,4388,FUK,2305,HND,2359,,0,320 7G,4388,HND,2359,FUK,2305,,0,320 7G,4388,HND,2359,KIX,3992,,0,320 7G,4388,HND,2359,KKJ,2311,,0,320 7G,4388,KIX,3992,HND,2359,,0,320 7G,4388,KKJ,2311,HND,2359,,0,320 7H,16726,ABL,7177,OTZ,3693,Y,0,CNC 7H,16726,ABL,7177,SHG,7117,Y,0,CNC 7H,16726,ADQ,3531,ANC,3774,,0,DH8 BE1 7H,16726,AIN,7220,ATK,6714,Y,0,CNC 7H,16726,AIN,7220,BRW,3571,Y,0,BE1 CNC 7H,16726,AKI,7217,KKI,9742,Y,0,CNA 7H,16726,AKI,7217,TLT,7218,Y,0,CNA 7H,16726,ANC,3774,ADQ,3531,,0,DH8 BE1 7H,16726,ANC,3774,ANI,5967,,0,BE1 DH8 7H,16726,ANC,3774,BET,3599,,0,DH8 7H,16726,ANC,3774,CDV,3610,,0,BE1 7H,16726,ANC,3774,ENA,3628,,0,BE1 DH8 7H,16726,ANC,3774,FAI,3832,,0,DH8 BE1 7H,16726,ANC,3774,HOM,3664,,0,BE1 DH8 7H,16726,ANC,3774,KSM,6718,,0,DH8 7H,16726,ANC,3774,UNK,7088,,0,DH8 7H,16726,ANC,3774,VDZ,3865,,0,DH8 BE1 7H,16726,ANI,5967,ANC,3774,,0,BE1 DH8 7H,16726,ANI,5967,CHU,7091,Y,0,CNA 7H,16726,ANI,5967,HCR,5962,Y,0,CNC 7H,16726,ANI,5967,KLG,5964,Y,0,CNA CNC 7H,16726,ANI,5967,RSH,7098,Y,0,CNA 7H,16726,ANI,5967,SHX,7090,Y,0,CNC 7H,16726,ANV,6713,HCR,5962,Y,0,CNC 7H,16726,ANV,6713,KGX,7219,Y,0,CNC 7H,16726,ATK,6714,AIN,7220,Y,0,CNC 7H,16726,ATK,6714,BRW,3571,Y,0,CNC 7H,16726,ATT,4385,BET,3599,Y,0,CNA 7H,16726,AUK,7199,EMK,7087,Y,0,CNA 7H,16726,AUK,7199,SXP,7200,Y,0,CNA 7H,16726,BET,3599,ANC,3774,,0,DH8 7H,16726,BET,3599,CYF,6960,Y,0,CNA 7H,16726,BET,3599,EEK,7093,Y,0,CNA 7H,16726,BET,3599,HPB,6716,Y,0,CNA 7H,16726,BET,3599,KKH,7213,Y,0,CNA 7H,16726,BET,3599,KLG,5964,Y,0,CNA CNC 7H,16726,BET,3599,KUK,7094,Y,0,CNA 7H,16726,BET,3599,KWK,7096,Y,0,CNA 7H,16726,BET,3599,KWN,7206,Y,0,CNA 7H,16726,BET,3599,KWT,7095,Y,0,CNA 7H,16726,BET,3599,MLL,7097,Y,0,CNA 7H,16726,BET,3599,NME,8199,Y,0,CNA CNC 7H,16726,BET,3599,OOK,8200,Y,0,CNA CNC 7H,16726,BET,3599,PQS,7216,Y,0,CNA 7H,16726,BET,3599,TLT,7218,Y,0,CNA 7H,16726,BET,3599,VAK,5968,Y,0,CNA 7H,16726,BET,3599,WTL,7099,Y,0,CNA 7H,16726,BKC,7178,DRG,6755,Y,0,CNC 7H,16726,BKC,7178,OTZ,3693,Y,0,CNC 7H,16726,BRW,3571,AIN,7220,Y,0,BE1 CNC 7H,16726,BRW,3571,ATK,6714,Y,0,CNC 7H,16726,BRW,3571,NUI,7092,Y,0,BE1 7H,16726,BRW,3571,PIZ,3414,Y,0,CNC BE1 7H,16726,BTI,3411,FYU,3420,Y,0,BE1 7H,16726,BTI,3411,SCC,3620,Y,0,BE1 7H,16726,CDV,3610,ANC,3774,,0,BE1 7H,16726,CHU,7091,CKD,7238,Y,0,CNA 7H,16726,CKD,7238,RDV,7239,Y,0,CNA 7H,16726,CKD,7238,SLQ,7240,Y,0,CNA 7H,16726,CYF,6960,BET,3599,Y,0,CNA 7H,16726,CYF,6960,KPN,7201,Y,0,CNA 7H,16726,DRG,6755,BKC,7178,Y,0,CNC 7H,16726,DRG,6755,OTZ,3693,Y,0,CNC 7H,16726,EEK,7093,KWN,7206,Y,0,CNA 7H,16726,ELI,7184,KKA,7190,Y,0,PAG 7H,16726,ELI,7184,OME,3615,Y,0,PAG 7H,16726,EMK,7087,AUK,7199,Y,0,CNA 7H,16726,EMK,7087,KOT,7207,Y,0,CNA 7H,16726,ENA,3628,ANC,3774,,0,BE1 DH8 7H,16726,FAI,3832,ANC,3774,,0,DH8 BE1 7H,16726,FAI,3832,FYU,3420,Y,0,BE1 7H,16726,FAI,3832,GAL,3764,,0,BE1 7H,16726,FAI,3832,RBY,6722,Y,0,CNC 7H,16726,FAI,3832,SCC,3620,,0,DH8 7H,16726,FYU,3420,BTI,3411,Y,0,BE1 7H,16726,FYU,3420,FAI,3832,Y,0,BE1 7H,16726,GAL,3764,FAI,3832,,0,BE1 7H,16726,GAL,3764,HSL,7108,Y,0,CNC 7H,16726,GAL,3764,KAL,6717,Y,0,CNC 7H,16726,GAL,3764,NUL,7111,Y,0,CNC BE1 7H,16726,GAL,3764,RBY,6722,Y,0,CNC 7H,16726,GAM,6715,OME,3615,Y,0,BE1 7H,16726,GAM,6715,SVA,6724,Y,0,BE1 7H,16726,GLV,7185,OME,3615,Y,0,PAG 7H,16726,GLV,7185,WMO,7188,Y,0,PAG 7H,16726,HCR,5962,ANI,5967,Y,0,CNC 7H,16726,HCR,5962,ANV,6713,Y,0,CNC 7H,16726,HOM,3664,ANC,3774,,0,BE1 DH8 7H,16726,HPB,6716,SCM,7209,Y,0,CNA 7H,16726,HPB,6716,VAK,5968,Y,0,CNA 7H,16726,HSL,7108,GAL,3764,Y,0,CNC 7H,16726,HSL,7108,KYU,7208,Y,0,CNC 7H,16726,IAN,7179,ORV,7181,Y,0,CNC 7H,16726,IAN,7179,OTZ,3693,Y,0,CNC 7H,16726,KAL,6717,GAL,3764,Y,0,CNC BE1 7H,16726,KAL,6717,NUL,7111,Y,0,CNC 7H,16726,KGX,7219,ANV,6713,Y,0,CNC 7H,16726,KGX,7219,SHX,7090,Y,0,CNC 7H,16726,KKA,7190,ELI,7184,Y,0,PAG 7H,16726,KKA,7190,SKK,7192,Y,0,PAG 7H,16726,KKA,7190,UNK,7088,Y,0,CNC 7H,16726,KKH,7213,BET,3599,Y,0,CNA 7H,16726,KKH,7213,KWK,7096,Y,0,CNA 7H,16726,KKI,9742,AKI,7217,Y,0,CNA 7H,16726,KKI,9742,KWT,7095,Y,0,CNA 7H,16726,KLG,5964,ANI,5967,Y,0,CNA CNC 7H,16726,KLG,5964,BET,3599,Y,0,CNA CNC 7H,16726,KLG,5964,RSH,7098,Y,0,CNA 7H,16726,KOT,7207,EMK,7087,Y,0,CNA 7H,16726,KOT,7207,KSM,6718,Y,0,CNA 7H,16726,KOT,7207,WBB,7193,Y,0,CNC 7H,16726,KPN,7201,BET,3599,Y,0,CNA 7H,16726,KPN,7201,CYF,6960,Y,0,CNA 7H,16726,KSM,6718,ANC,3774,,0,DH8 7H,16726,KSM,6718,KOT,7207,Y,0,CNA 7H,16726,KSM,6718,MOU,5966,Y,0,CNA 7H,16726,KSM,6718,SXP,7200,Y,0,CNA 7H,16726,KTS,7183,TLA,7186,Y,0,PAG 7H,16726,KTS,7183,WAA,7187,Y,0,PAG 7H,16726,KUK,7094,NUP,7212,Y,0,CNA 7H,16726,KVL,6719,OTZ,3693,Y,0,CNC 7H,16726,KWK,7096,BET,3599,Y,0,CNA 7H,16726,KWK,7096,KKH,7213,Y,0,CNA 7H,16726,KWK,7096,KPN,7201,Y,0,CNA 7H,16726,KWN,7206,BET,3599,Y,0,CNA 7H,16726,KWN,7206,TOG,6767,Y,0,CNA 7H,16726,KWT,7095,BET,3599,Y,0,CNA 7H,16726,KWT,7095,KKI,9742,Y,0,CNA 7H,16726,KYU,7208,GAL,3764,Y,0,CNC 7H,16726,MLL,7097,RSH,7098,Y,0,CNA 7H,16726,MOU,5966,KSM,6718,Y,0,CNA 7H,16726,MOU,5966,PQS,7216,Y,0,CNA 7H,16726,MYU,6720,BET,3599,Y,0,CNA CNC 7H,16726,NME,8199,OOK,8200,Y,0,CNA 7H,16726,NME,8199,TNK,8201,Y,0,CNC CNA 7H,16726,NUI,7092,BRW,3571,Y,0,BE1 7H,16726,NUI,7092,SCC,3620,Y,0,BE1 7H,16726,NUL,7111,GAL,3764,Y,0,CNC 7H,16726,NUL,7111,KAL,6717,Y,0,CNC BE1 7H,16726,NUP,7212,ATT,4385,Y,0,CNA 7H,16726,OBU,7180,ABL,7177,Y,0,CNC 7H,16726,OBU,7180,OTZ,3693,Y,0,CNC 7H,16726,OME,3615,ELI,7184,Y,0,PAG 7H,16726,OME,3615,GAM,6715,Y,0,BE1 7H,16726,OME,3615,GLV,7185,Y,0,PAG 7H,16726,OME,3615,KTS,7183,Y,0,PAG 7H,16726,OME,3615,SHH,6723,Y,0,PAG CNT 7H,16726,OME,3615,SKK,7192,Y,0,PAG 7H,16726,OME,3615,SVA,6724,Y,0,BE1 7H,16726,OME,3615,TLA,7186,Y,0,PAG 7H,16726,OME,3615,UNK,7088,Y,0,CNC 7H,16726,OME,3615,WAA,7187,Y,0,PAG 7H,16726,OME,3615,WBB,7193,Y,0,CNC 7H,16726,OME,3615,WMO,7188,Y,0,PAG 7H,16726,OOK,8200,MYU,6720,Y,0,CNC CNA 7H,16726,OOK,8200,TNK,8201,Y,0,CNA 7H,16726,ORV,7181,IAN,7179,Y,0,CNC 7H,16726,ORV,7181,OTZ,3693,Y,0,CNC 7H,16726,OTZ,3693,ABL,7177,Y,0,CNC 7H,16726,OTZ,3693,BKC,7178,Y,0,CNC 7H,16726,OTZ,3693,DRG,6755,Y,0,CNC 7H,16726,OTZ,3693,IAN,7179,Y,0,CNC 7H,16726,OTZ,3693,ORV,7181,Y,0,CNC 7H,16726,OTZ,3693,PHO,6721,Y,0,CNC 7H,16726,OTZ,3693,SHG,7117,Y,0,CNC 7H,16726,OTZ,3693,WLK,7182,Y,0,CNC 7H,16726,OTZ,3693,WTK,6725,Y,0,CNC 7H,16726,PHO,6721,OTZ,3693,Y,0,CNC 7H,16726,PHO,6721,PIZ,3414,Y,0,BE1 7H,16726,PIZ,3414,BRW,3571,Y,0,CNC BE1 7H,16726,PIZ,3414,PHO,6721,Y,0,BE1 7H,16726,PQS,7216,BET,3599,Y,0,CNA 7H,16726,PQS,7216,MOU,5966,Y,0,CNA 7H,16726,RBY,6722,FAI,3832,Y,0,CNC 7H,16726,RBY,6722,GAL,3764,Y,0,CNC 7H,16726,RDV,7239,SLQ,7240,Y,0,CNA 7H,16726,RSH,7098,ANI,5967,Y,0,CNA 7H,16726,RSH,7098,BET,3599,Y,0,CNA 7H,16726,RSH,7098,KLG,5964,Y,0,CNA 7H,16726,SCC,3620,BTI,3411,Y,0,BE1 7H,16726,SCC,3620,FAI,3832,,0,DH8 7H,16726,SCC,3620,NUI,7092,Y,0,BE1 7H,16726,SCM,7209,BET,3599,Y,0,CNA 7H,16726,SHG,7117,OBU,7180,Y,0,CNC 7H,16726,SHH,6723,OME,3615,Y,0,PAG 7H,16726,SHH,6723,WAA,7187,Y,0,CNT 7H,16726,SHX,7090,ANI,5967,Y,0,CNC 7H,16726,SHX,7090,KGX,7219,Y,0,CNC 7H,16726,SKK,7192,KKA,7190,Y,0,PAG CNC 7H,16726,SKK,7192,OME,3615,Y,0,PAG 7H,16726,SKK,7192,UNK,7088,Y,0,CNC 7H,16726,SLQ,7240,ANI,5967,Y,0,CNA 7H,16726,SLQ,7240,SRV,7241,Y,0,CNA 7H,16726,SMK,7191,UNK,7088,Y,0,CNC 7H,16726,SMK,7191,WBB,7193,Y,0,CNA CNC 7H,16726,SRV,7241,ANI,5967,Y,0,CNA 7H,16726,SVA,6724,GAM,6715,Y,0,BE1 7H,16726,SVA,6724,OME,3615,Y,0,BE1 7H,16726,SXP,7200,AUK,7199,Y,0,CNA 7H,16726,SXP,7200,KSM,6718,Y,0,CNA 7H,16726,TLA,7186,KTS,7183,Y,0,PAG 7H,16726,TLA,7186,OME,3615,Y,0,PAG 7H,16726,TLT,7218,AKI,7217,Y,0,CNA 7H,16726,TLT,7218,BET,3599,Y,0,CNA 7H,16726,TNK,8201,WWT,8203,Y,0,CNC CNA 7H,16726,TOG,6767,KWN,7206,Y,0,CNA 7H,16726,UNK,7088,ANC,3774,,0,DH8 7H,16726,UNK,7088,SKK,7192,Y,0,CNC 7H,16726,UNK,7088,SMK,7191,Y,0,CNA CNC 7H,16726,VAK,5968,HPB,6716,Y,0,CNA 7H,16726,VAK,5968,SCM,7209,Y,0,CNA 7H,16726,VDZ,3865,ANC,3774,,0,DH8 BE1 7H,16726,WAA,7187,KTS,7183,Y,0,PAG 7H,16726,WAA,7187,OME,3615,Y,0,PAG CNT 7H,16726,WBB,7193,KOT,7207,Y,0,CNC 7H,16726,WBB,7193,OME,3615,Y,0,CNC 7H,16726,WBB,7193,SMK,7191,Y,0,CNC 7H,16726,WBB,7193,UNK,7088,Y,0,CNA 7H,16726,WLK,7182,OTZ,3693,Y,0,CNC 7H,16726,WMO,7188,GLV,7185,Y,0,PAG 7H,16726,WMO,7188,OME,3615,Y,0,PAG 7H,16726,WTK,6725,KVL,6719,Y,0,CNC 7H,16726,WTL,7099,BET,3599,Y,0,CNA 7H,16726,WWT,8203,BET,3599,Y,0,CNA CNC 7I,18944,AUA,2895,CCS,2851,,0,M83 7I,18944,AUA,2895,CUR,2897,,0,M83 F50 7I,18944,AUA,2895,LRM,1759,,0,M83 7I,18944,AUA,2895,MIA,3576,,0,M83 7I,18944,AUA,2895,VLN,2868,,0,M83 7I,18944,BON,2896,AUA,2895,,0,M83 7I,18944,BON,2896,CUR,2897,,0,F50 M83 7I,18944,BRM,2824,CUR,2897,,0,M83 F50 7I,18944,CCS,2851,AUA,2895,,0,M83 7I,18944,CCS,2851,CUR,2897,,0,M83 F50 7I,18944,CLT,3876,CUR,2897,,0,M83 7I,18944,CUR,2897,AUA,2895,,0,M83 F50 7I,18944,CUR,2897,BON,2896,,0,F50 M83 7I,18944,CUR,2897,BRM,2824,,0,M83 F50 7I,18944,CUR,2897,CCS,2851,,0,M83 F50 7I,18944,CUR,2897,CLT,3876,,0,M83 7I,18944,CUR,2897,KIN,1779,,0,F50 7I,18944,CUR,2897,LSP,2844,,0,F50 7I,18944,CUR,2897,MAR,2848,,0,M83 7I,18944,CUR,2897,MDE,2745,,0,M83 7I,18944,CUR,2897,MIA,3576,,0,M83 7I,18944,CUR,2897,PBM,2773,,0,M83 7I,18944,CUR,2897,POS,2902,,0,733 7I,18944,CUR,2897,SDQ,1762,,0,M83 7I,18944,CUR,2897,SXM,2899,,0,M83 7I,18944,CUR,2897,VLN,2868,,0,M83 7I,18944,KIN,1779,CUR,2897,,0,F50 7I,18944,LRM,1759,AUA,2895,,0,M83 7I,18944,LSP,2844,CUR,2897,,0,F50 7I,18944,MAR,2848,CUR,2897,,0,M83 7I,18944,MDE,2745,CUR,2897,,0,M83 7I,18944,MIA,3576,AUA,2895,,0,M83 7I,18944,MIA,3576,CUR,2897,,0,M83 7I,18944,PAP,1897,SXM,2899,,0,M83 7I,18944,PBM,2773,CUR,2897,,0,M83 7I,18944,PBM,2773,POS,2902,,0,733 7I,18944,POS,2902,CUR,2897,,0,733 7I,18944,POS,2902,PBM,2773,,0,733 7I,18944,SDQ,1762,CUR,2897,,0,M83 7I,18944,SDQ,1762,SXM,2899,,0,M83 7I,18944,SXM,2899,CUR,2897,,0,M83 7I,18944,SXM,2899,PAP,1897,,0,M83 7I,18944,SXM,2899,SDQ,1762,,0,M83 7I,18944,VLN,2868,AUA,2895,,0,M83 7I,18944,VLN,2868,CUR,2897,,0,M83 7J,9531,AER,2965,DYU,2979,,0,735 7J,9531,ALA,2908,DYU,2979,,0,MA6 7J,9531,DEL,3093,DYU,2979,,0,735 7J,9531,DME,4029,DYU,2979,,0,752 7J,9531,DME,4029,LBD,6147,,0,735 7J,9531,DYU,2979,AER,2965,,0,735 7J,9531,DYU,2979,ALA,2908,,0,MA6 7J,9531,DYU,2979,DEL,3093,,0,735 7J,9531,DYU,2979,DME,4029,,0,752 7J,9531,DYU,2979,FRU,2912,,0,MA6 7J,9531,DYU,2979,IKA,4330,,0,735 7J,9531,DYU,2979,IST,1701,,0,735 7J,9531,DYU,2979,LED,2948,,0,735 7J,9531,DYU,2979,OVB,4078,,0,735 7J,9531,DYU,2979,SGC,2974,,0,735 7J,9531,DYU,2979,SHJ,2191,,0,735 7J,9531,DYU,2979,SVX,2975,,0,735 7J,9531,DYU,2979,URC,3399,,0,752 7J,9531,FRU,2912,DYU,2979,,0,MA6 7J,9531,IKA,4330,DYU,2979,,0,735 7J,9531,IST,1701,DYU,2979,,0,735 7J,9531,LBD,6147,DME,4029,,0,733 7J,9531,LBD,6147,LED,2948,,0,733 7J,9531,LBD,6147,OVB,4078,,0,733 7J,9531,LBD,6147,SGC,2974,,0,733 7J,9531,LED,2948,DYU,2979,,0,735 7J,9531,LED,2948,LBD,6147,,0,735 7J,9531,OVB,4078,DYU,2979,,0,735 7J,9531,OVB,4078,LBD,6147,,0,735 7J,9531,SGC,2974,DYU,2979,,0,735 7J,9531,SGC,2974,LBD,6147,,0,735 7J,9531,SHJ,2191,DYU,2979,,0,735 7J,9531,SVX,2975,DYU,2979,,0,735 7J,9531,URC,3399,DYU,2979,,0,752 7M,16615,CUN,1852,CZM,1800,,0,D28 CNA 7M,16615,CUN,1852,MID,1819,,0,D28 7M,16615,CZM,1800,CUN,1852,,0,CNA D28 7M,16615,MID,1819,CUN,1852,,0,D28 7M,16615,MID,1819,VSA,1853,,0,D28 7M,16615,VER,1854,VSA,1853,,0,D28 7M,16615,VSA,1853,MID,1819,,0,D28 7M,16615,VSA,1853,VER,1854,,0,D28 7P,1500,ACU,8204,PAC,1869,,0,DHT 7P,1500,BFQ,5955,JQE,5840,,0,DHT 7P,1500,BOC,1865,PAC,1869,,0,F50 7P,1500,CHX,1866,BOC,1865,,0,F50 7P,1500,DAV,1867,PAC,1869,,0,100 F50 7P,1500,DAV,1867,SJO,1885,,0,F50 7P,1500,GHE,8206,PAC,1869,,0,BNI 7P,1500,JQE,5840,PAC,1869,,0,DHT 7P,1500,MPP,8207,PAC,1869,,0,DHT 7P,1500,OGM,\N,MPP,8207,,0,DHT 7P,1500,OTD,5957,SIC,6783,,0,DHT 7P,1500,PAC,1869,BFQ,5955,,0,DHT 7P,1500,PAC,1869,BOC,1865,,0,F50 7P,1500,PAC,1869,CHX,1866,,0,F50 7P,1500,PAC,1869,DAV,1867,,0,100 F50 7P,1500,PAC,1869,OGM,\N,,0,DHT 7P,1500,PAC,1869,OTD,5957,,0,DHT 7P,1500,PAC,1869,PUE,7962,,0,DHT 7P,1500,PAC,1869,PVE,7901,,0,DHT 7P,1500,PAC,1869,PYC,7895,,0,DHT 7P,1500,PAC,1869,SAX,5958,,0,BNI 7P,1500,PUE,7962,PAC,1869,,0,DHT 7P,1500,PVE,7901,CZJ,9758,,0,DHT 7P,1500,PYC,7895,ACU,8204,,0,DHT 7P,1500,SAX,5958,GHE,8206,,0,BNI 7P,1500,SIC,6783,PAC,1869,,0,DHT 7P,1500,SJO,1885,DAV,1867,,0,F50 7R,1469,AKX,2920,DME,4029,,0,CR2 7R,1469,CSY,6162,DME,4029,,0,CR2 7R,1469,CSY,6162,LED,2948,,0,CR2 7R,1469,DME,4029,AKX,2920,,0,CR2 7R,1469,DME,4029,CSY,6162,,0,CR2 7R,1469,DME,4029,EGO,6156,,0,CR2 7R,1469,DME,4029,ESL,6125,,0,CR2 7R,1469,DME,4029,GRV,6122,,0,CR2 7R,1469,DME,4029,IJK,6141,,0,CR2 7R,1469,DME,4029,MCX,2961,,0,CR2 7R,1469,DME,4029,PES,6114,,0,CR2 7R,1469,DME,4029,PEZ,6165,,0,CR2 7R,1469,DME,4029,SKX,6166,,0,CR2 7R,1469,DME,4029,ULV,7003,,0,CR2 7R,1469,DME,4029,VKT,6159,,0,CR2 7R,1469,DME,4029,VOZ,2987,,0,CR2 7R,1469,EGO,6156,DME,4029,,0,CR2 7R,1469,EGO,6156,KUF,2993,,0,CR2 7R,1469,EGO,6156,ROV,2964,,0,CR2 7R,1469,ESL,6125,DME,4029,,0,CR2 7R,1469,EVN,3964,VOG,2967,,0,CR2 7R,1469,GRV,6122,DME,4029,,0,CR2 7R,1469,IAR,6940,LED,2948,,0,CR2 7R,1469,IJK,6141,DME,4029,,0,CR2 7R,1469,KRO,6146,SVX,2975,,0,EM2 7R,1469,KRR,2960,VOG,2967,,0,CR2 7R,1469,KRR,2960,VOZ,2987,,0,CR2 7R,1469,KUF,2993,EGO,6156,,0,CR2 7R,1469,KUF,2993,SVX,2975,,0,CR2 7R,1469,KVX,6142,LED,2948,,0,CR2 7R,1469,LED,2948,CSY,6162,,0,CR2 7R,1469,LED,2948,IAR,6940,,0,CR2 7R,1469,LED,2948,KVX,6142,,0,CR2 7R,1469,LED,2948,MCX,2961,,0,CR2 7R,1469,LED,2948,SKX,6166,,0,CR2 7R,1469,LED,2948,VOG,2967,,0,CR2 7R,1469,LED,2948,VOZ,2987,,0,CR2 7R,1469,MCX,2961,DME,4029,,0,CR2 7R,1469,MCX,2961,LED,2948,,0,CR2 7R,1469,MQF,2969,SVX,2975,,0,EM2 7R,1469,MRV,2962,SAW,4317,,0,CR2 7R,1469,NUX,4364,SVX,2975,,0,CR2 7R,1469,OVB,4078,SVX,2975,,0,CR2 7R,1469,PES,6114,DME,4029,,0,CR2 7R,1469,PEZ,6165,DME,4029,,0,CR2 7R,1469,ROV,2964,EGO,6156,,0,CR2 7R,1469,ROV,2964,VOG,2967,,0,CR2 7R,1469,SAW,4317,MRV,2962,,0,CR2 7R,1469,SCW,2989,SVX,2975,,0,CR2 7R,1469,SKX,6166,DME,4029,,0,CR2 7R,1469,SKX,6166,LED,2948,,0,CR2 7R,1469,SVX,2975,KRO,6146,,0,EM2 7R,1469,SVX,2975,KUF,2993,,0,CR2 7R,1469,SVX,2975,MQF,2969,,0,EM2 7R,1469,SVX,2975,NUX,4364,,0,CR2 7R,1469,SVX,2975,OVB,4078,,0,CR2 7R,1469,SVX,2975,SCW,2989,,0,CR2 7R,1469,SVX,2975,UFA,2992,,0,EM2 7R,1469,SVX,2975,ULV,7003,,0,CR2 7R,1469,SVX,2975,URJ,4377,,0,EM2 7R,1469,UFA,2992,SVX,2975,,0,EM2 7R,1469,ULV,7003,DME,4029,,0,CR2 7R,1469,ULV,7003,SVX,2975,,0,CR2 7R,1469,URJ,4377,SVX,2975,,0,EM2 7R,1469,VKT,6159,DME,4029,,0,CR2 7R,1469,VOG,2967,EVN,3964,,0,CR2 7R,1469,VOG,2967,KRR,2960,,0,CR2 7R,1469,VOG,2967,LED,2948,,0,CR2 7R,1469,VOG,2967,ROV,2964,,0,CR2 7R,1469,VOZ,2987,DME,4029,,0,CR2 7R,1469,VOZ,2987,KRR,2960,,0,CR2 7R,1469,VOZ,2987,LED,2948,,0,CR2 7S,\N,ANI,5967,HCR,5962,,0,CNA 7S,\N,ANI,5967,KLG,5964,,0, CNA 7S,\N,ANV,6713,KGX,7219,,0, CNA 7S,\N,HCR,5962,ANV,6713,,0,CNA 7S,\N,KGX,7219,SHX,7090,,0, CNA 7S,\N,KLG,5964,RSH,7098,,0, CNA 7S,\N,RSH,7098,ANI,5967,,0, 7S,\N,SHX,7090,ANI,5967,,0, 8B,17408,BKK,3885,CKG,3393,,0,763 8B,17408,BKK,3885,HKT,3179,,0,763 8B,17408,BKK,3885,ICN,3930,,0,763 8B,17408,CKG,3393,BKK,3885,,0,763 8B,17408,CKG,3393,HKT,3179,,0,763 8B,17408,CNX,3931,ICN,3930,,0,763 8B,17408,HKT,3179,BKK,3885,,0,763 8B,17408,HKT,3179,CKG,3393,,0,763 8B,17408,HKT,3179,ICN,3930,,0,763 8B,17408,ICN,3930,BKK,3885,,0,763 8B,17408,ICN,3930,CNX,3931,,0,763 8B,17408,ICN,3930,HKT,3179,,0,763 8D,1109,ADQ,3531,AKK,7160,,0,CNA 8D,1109,ADQ,3531,KOZ,7164,,0,CNA 8D,1109,ADQ,3531,OLH,7163,,0,CNA 8D,1109,ADQ,3531,ORI,7165,,0,CNA 8D,1109,AKK,7160,ADQ,3531,,0,CNA 8D,1109,KOZ,7164,ADQ,3531,,0,CNA 8D,1109,OLH,7163,ADQ,3531,,0,CNA 8D,1109,ORI,7165,ADQ,3531,,0,CNA 8E,1472,ABL,7177,OTZ,3693,,0,CNC 8E,1472,ABL,7177,SHG,7117,,0,CNC 8E,1472,BKC,7178,DRG,6755,,0,CNC 8E,1472,BKC,7178,OTZ,3693,,0,CNC 8E,1472,DRG,6755,BKC,7178,,0,CNC 8E,1472,DRG,6755,OTZ,3693,,0,CNC 8E,1472,ELI,7184,GLV,7185,,0,PA2 8E,1472,ELI,7184,KKA,7190,,0,CNC 8E,1472,ELI,7184,OME,3615,,0,CNC 8E,1472,GAM,6715,OME,3615,,0,BE1 8E,1472,GAM,6715,SVA,6724,,0,BE1 8E,1472,GLV,7185,ELI,7184,,0,CNC 8E,1472,GLV,7185,WMO,7188,,0,PA2 8E,1472,IAN,7179,ORV,7181,,0,CNC 8E,1472,IAN,7179,OTZ,3693,,0,CNC 8E,1472,KKA,7190,OME,3615,,0,CNC 8E,1472,KKA,7190,SKK,7192,,0,CNC 8E,1472,KTS,7183,OME,3615,,0,CNC 8E,1472,KTS,7183,WAA,7187,,0,CNC 8E,1472,KVL,6719,OTZ,3693,,0,CNC 8E,1472,KVL,6719,PHO,6721,,0,CNC 8E,1472,LUR,3413,OTZ,3693,,0,CNC 8E,1472,OBU,7180,ABL,7177,,0,CNC 8E,1472,OBU,7180,OTZ,3693,,0,CNC 8E,1472,OME,3615,ELI,7184,,0,PA2 8E,1472,OME,3615,GAM,6715,,0,BE1 8E,1472,OME,3615,KKA,7190,,0,CNC 8E,1472,OME,3615,OTZ,3693,,0,PA2 8E,1472,OME,3615,SHH,6723,,0,BE1 8E,1472,OME,3615,SVA,6724,,0,BE1 8E,1472,OME,3615,TLA,7186,,0,CNC 8E,1472,OME,3615,TNC,7194,,0,CNC 8E,1472,OME,3615,UNK,7088,,0,PA2 8E,1472,OME,3615,WBB,7193,,0,BE1 8E,1472,OME,3615,WMO,7188,,0,CNC 8E,1472,ORV,7181,IAN,7179,,0,CNC 8E,1472,ORV,7181,OTZ,3693,,0,CNC 8E,1472,OTZ,3693,ABL,7177,,0,CNC 8E,1472,OTZ,3693,BKC,7178,,0,CNC 8E,1472,OTZ,3693,DRG,6755,,0,CNC 8E,1472,OTZ,3693,IAN,7179,,0,CNC 8E,1472,OTZ,3693,KVL,6719,,0,CNC 8E,1472,OTZ,3693,OME,3615,,0,PA2 8E,1472,OTZ,3693,ORV,7181,,0,CNC 8E,1472,OTZ,3693,PHO,6721,,0,CNC 8E,1472,OTZ,3693,SHG,7117,,0,CNC 8E,1472,OTZ,3693,WLK,7182,,0,CNC 8E,1472,OTZ,3693,WTK,6725,,0,CNC 8E,1472,PHO,6721,LUR,3413,,0,CNC 8E,1472,PHO,6721,OTZ,3693,,0,CNC 8E,1472,SHG,7117,OBU,7180,,0,CNC 8E,1472,SHH,6723,OME,3615,,0,BE1 CNC 8E,1472,SKK,7192,KKA,7190,,0,CNC 8E,1472,SKK,7192,OME,3615,,0,CNC 8E,1472,SKK,7192,UNK,7088,,0,CNC 8E,1472,SMK,7191,UNK,7088,,0,BE1 8E,1472,SMK,7191,WBB,7193,,0,CNC PA2 8E,1472,SVA,6724,GAM,6715,,0,BE1 8E,1472,SVA,6724,OME,3615,,0,BE1 8E,1472,TLA,7186,KTS,7183,,0,CNC 8E,1472,TNC,7194,WAA,7187,,0,CNC 8E,1472,UNK,7088,OME,3615,,0,BE1 8E,1472,UNK,7088,SKK,7192,,0,CNC 8E,1472,UNK,7088,SMK,7191,,0,CNC PA2 8E,1472,WAA,7187,OME,3615,,0,CNC 8E,1472,WAA,7187,SHH,6723,,0,CNC 8E,1472,WBB,7193,OME,3615,,0,PA2 8E,1472,WBB,7193,SMK,7191,,0,BE1 8E,1472,WBB,7193,UNK,7088,,0,CNC 8E,1472,WLK,7182,OTZ,3693,,0,CNC 8E,1472,WMO,7188,GLV,7185,,0,CNC 8E,1472,WMO,7188,OME,3615,,0,PA2 8E,1472,WTK,6725,KVL,6719,,0,CNC 8E,1472,WTK,6725,OTZ,3693,,0,CNC 8I,3534,AUA,2895,CCS,2851,,0,M82 8I,3534,AUA,2895,MIA,3576,,0,M82 8I,3534,AUA,2895,VLN,2868,,0,M82 8I,3534,CCS,2851,AUA,2895,,0,M82 8I,3534,MIA,3576,AUA,2895,,0,M82 8I,3534,VLN,2868,AUA,2895,,0,M82 8L,2942,BAV,6346,XIY,3379,,0,738 8L,2942,CGO,3375,KMG,3382,,0,320 738 737 8L,2942,CGO,3375,LJG,4033,,0,319 321 8L,2942,CKG,3393,KMG,3382,,0,738 8L,2942,CKG,3393,LJG,4033,,0,321 8L,2942,CKG,3393,XUZ,4149,,0,738 8L,2942,CSX,3371,FOC,3385,,0,738 8L,2942,CSX,3371,KMG,3382,,0,738 8L,2942,CSX,3371,LJG,4033,,0,321 319 8L,2942,CSX,3371,NKG,3388,,0,321 8L,2942,CTU,3395,JZH,4301,,0,737 8L,2942,CTU,3395,KMG,3382,,0,321 737 8L,2942,CTU,3395,TCZ,7862,,0,737 8L,2942,CTU,3395,TSN,3368,,0,737 8L,2942,DIG,6375,KMG,3382,,0,737 8L,2942,DLC,3404,TSN,3368,,0,737 8L,2942,DLC,3404,WUH,3376,,0,737 8L,2942,DLU,4054,JHG,3381,,0,737 8L,2942,DLU,4054,KMG,3382,,0,737 8L,2942,FOC,3385,CSX,3371,,0,738 8L,2942,FOC,3385,NNG,3373,,0,738 8L,2942,HAK,4120,KMG,3382,,0,738 8L,2942,HET,6345,TYN,3369,,0,321 8L,2942,HFE,3389,KMG,3382,,0,738 8L,2942,HFE,3389,LJG,4033,,0,319 8L,2942,HFE,3389,PVG,3406,,0,319 8L,2942,HGH,3386,KMG,3382,,0,737 8L,2942,HGH,3386,KOW,6379,,0,321 8L,2942,JHG,3381,DLU,4054,,0,737 8L,2942,JHG,3381,KMG,3382,,0,737 8L,2942,JHG,3381,LJG,4033,,0,737 8L,2942,JZH,4301,CTU,3395,,0,737 8L,2942,KMG,3382,CGO,3375,,0,320 738 737 8L,2942,KMG,3382,CKG,3393,,0,738 8L,2942,KMG,3382,CSX,3371,,0,738 8L,2942,KMG,3382,CTU,3395,,0,321 737 8L,2942,KMG,3382,DIG,6375,,0,737 8L,2942,KMG,3382,DLU,4054,,0,737 8L,2942,KMG,3382,HAK,4120,,0,738 8L,2942,KMG,3382,HFE,3389,,0,738 8L,2942,KMG,3382,HGH,3386,,0,737 8L,2942,KMG,3382,JHG,3381,,0,737 8L,2942,KMG,3382,KOW,6379,,0,321 8L,2942,KMG,3382,KWE,3394,,0,737 321 8L,2942,KMG,3382,KWL,3372,,0,738 8L,2942,KMG,3382,LHW,3378,,0,737 8L,2942,KMG,3382,LJG,4033,,0,319 321 8L,2942,KMG,3382,LUM,6376,,0,737 8L,2942,KMG,3382,NNG,3373,,0,738 8L,2942,KMG,3382,PEK,3364,,0,738 737 321 8L,2942,KMG,3382,PVG,3406,,0,738 8L,2942,KMG,3382,SYM,6377,,0,737 8L,2942,KMG,3382,SYX,4030,,0,321 737 8L,2942,KMG,3382,TCZ,7862,,0,737 8L,2942,KMG,3382,TNA,4108,,0,738 8L,2942,KMG,3382,TYN,3369,,0,321 8L,2942,KMG,3382,WUH,3376,,0,738 737 321 8L,2942,KMG,3382,XIY,3379,,0,738 8L,2942,KMG,3382,XNN,6366,,0,738 8L,2942,KMG,3382,YIC,9107,,0,738 8L,2942,KMG,3382,YIH,6361,,0,738 8L,2942,KOW,6379,HGH,3386,,0,321 8L,2942,KOW,6379,KMG,3382,,0,321 8L,2942,KWE,3394,KMG,3382,,0,737 321 8L,2942,KWE,3394,LJG,4033,,0,319 8L,2942,KWE,3394,NKG,3388,,0,737 8L,2942,KWE,3394,SIN,3316,,0,321 8L,2942,KWE,3394,XUZ,4149,,0,319 8L,2942,KWL,3372,KMG,3382,,0,738 8L,2942,KWL,3372,XMN,3383,,0,738 8L,2942,LHW,3378,KMG,3382,,0,737 8L,2942,LHW,3378,URC,3399,,0,737 8L,2942,LJG,4033,CGO,3375,,0,319 321 8L,2942,LJG,4033,CKG,3393,,0,321 8L,2942,LJG,4033,CSX,3371,,0,321 319 8L,2942,LJG,4033,HFE,3389,,0,319 8L,2942,LJG,4033,JHG,3381,,0,737 8L,2942,LJG,4033,KMG,3382,,0,321 319 8L,2942,LJG,4033,KWE,3394,,0,319 8L,2942,LJG,4033,NGB,3387,,0,319 8L,2942,LJG,4033,NKG,3388,,0,319 8L,2942,LJG,4033,SZX,3374,,0,321 8L,2942,LJG,4033,TYN,3369,,0,319 8L,2942,LJG,4033,WUH,3376,,0,321 8L,2942,LJG,4033,XIY,3379,,0,321 8L,2942,LUM,6376,KMG,3382,,0,737 8L,2942,LUM,6376,PEK,3364,,0,737 8L,2942,NGB,3387,LJG,4033,,0,319 8L,2942,NGB,3387,YIH,6361,,0,738 8L,2942,NKG,3388,CSX,3371,,0,321 8L,2942,NKG,3388,KWE,3394,,0,737 8L,2942,NKG,3388,LJG,4033,,0,319 8L,2942,NNG,3373,FOC,3385,,0,738 8L,2942,NNG,3373,KMG,3382,,0,738 8L,2942,PEK,3364,KMG,3382,,0,738 737 8L,2942,PEK,3364,LUM,6376,,0,737 8L,2942,PVG,3406,HFE,3389,,0,319 8L,2942,PVG,3406,KMG,3382,,0,738 8L,2942,SHA,3391,YIC,9107,,0,738 8L,2942,SIN,3316,KWE,3394,,0,321 8L,2942,SYM,6377,KMG,3382,,0,737 8L,2942,SYX,4030,KMG,3382,,0,738 737 8L,2942,SZX,3374,LJG,4033,,0,321 8L,2942,TAO,3390,WUH,3376,,0,320 8L,2942,TCZ,7862,CTU,3395,,0,737 8L,2942,TCZ,7862,KMG,3382,,0,737 8L,2942,TNA,4108,KMG,3382,,0,738 8L,2942,TSN,3368,CTU,3395,,0,737 8L,2942,TSN,3368,DLC,3404,,0,737 8L,2942,TYN,3369,HET,6345,,0,321 8L,2942,TYN,3369,KMG,3382,,0,321 8L,2942,TYN,3369,LJG,4033,,0,319 8L,2942,URC,3399,LHW,3378,,0,737 8L,2942,URC,3399,XNN,6366,,0,738 8L,2942,WUH,3376,DLC,3404,,0,737 8L,2942,WUH,3376,KMG,3382,,0,738 737 320 8L,2942,WUH,3376,LJG,4033,,0,321 8L,2942,WUH,3376,TAO,3390,,0,321 8L,2942,XIY,3379,BAV,6346,,0,738 8L,2942,XIY,3379,KMG,3382,,0,738 8L,2942,XIY,3379,LJG,4033,,0,321 8L,2942,XMN,3383,KWL,3372,,0,738 8L,2942,XNN,6366,KMG,3382,,0,738 8L,2942,XNN,6366,URC,3399,,0,738 8L,2942,XUZ,4149,CKG,3393,,0,738 8L,2942,XUZ,4149,KWE,3394,,0,319 8L,2942,YIC,9107,KMG,3382,,0,738 8L,2942,YIC,9107,SHA,3391,,0,738 8L,2942,YIH,6361,KMG,3382,,0,738 8L,2942,YIH,6361,NGB,3387,,0,738 8M,3432,BKK,3885,RGN,3239,,0,320 8M,3432,CAN,3370,RGN,3239,,0,320 8M,3432,ICN,3930,RGN,3239,,0,737 767 8M,3432,KUL,3304,RGN,3239,,0,320 8M,3432,PNH,3034,RGN,3239,,0,319 8M,3432,RGN,3239,BKK,3885,,0,320 8M,3432,RGN,3239,CAN,3370,,0,320 8M,3432,RGN,3239,ICN,3930,,0,737 767 8M,3432,RGN,3239,KUL,3304,,0,320 8M,3432,RGN,3239,PNH,3034,,0,319 8M,3432,RGN,3239,SIN,3316,,0,320 8M,3432,SIN,3316,RGN,3239,,0,320 8P,3856,QBC,6738,YAA,5457,,0,BE1 8P,3856,QBC,6738,YVR,156,,0,BE1 8P,3856,YAA,5457,YVR,156,,0,BE1 8P,3856,YBL,30,YQQ,119,,0,SF3 BE1 8P,3856,YBL,30,YVR,156,,0,BE1 8P,3856,YBL,30,ZEL,7275,,0,BE1 8P,3856,YKT,9747,ZEL,7275,,0,DHP 8P,3856,YLW,87,YXC,164,,0,BE1 8P,3856,YPW,5523,YVR,156,,0,BE1 SF3 8P,3856,YQQ,119,YBL,30,,0,BE1 SF3 8P,3856,YQQ,119,YVR,156,,0,SF3 BE1 8P,3856,YVR,156,QBC,6738,,0,BE1 8P,3856,YVR,156,YBL,30,,0,BE1 8P,3856,YVR,156,YPW,5523,,0,BE1 SF3 8P,3856,YVR,156,YQQ,119,,0,BE1 SF3 8P,3856,YVR,156,YWL,162,,0,BE1 8P,3856,YVR,156,YXC,164,,0,BE1 8P,3856,YVR,156,YYJ,184,,0,BE1 8P,3856,YVR,156,YZT,200,,0,SF3 BE1 8P,3856,YVR,156,YZZ,8223,,0,SF3 BE1 8P,3856,YVR,156,ZMT,5545,,0,SF3 8P,3856,YWL,162,YVR,156,,0,BE1 8P,3856,YXC,164,YLW,87,,0,BE1 8P,3856,YXC,164,YVR,156,,0,BE1 8P,3856,YYJ,184,YVR,156,,0,BE1 8P,3856,YZT,200,YVR,156,,0,SF3 BE1 8P,3856,YZT,200,ZEL,7275,,0,SF3 8P,3856,YZZ,8223,YVR,156,,0,SF3 BE1 8P,3856,ZEL,7275,YBL,30,,0,BE1 8P,3856,ZEL,7275,YKT,9747,,0,DHP 8P,3856,ZEL,7275,YZT,200,,0,SF3 8P,3856,ZMT,5545,YVR,156,,0,SF3 8Q,3788,ADA,1685,IST,1701,,0,320 8Q,3788,ADB,1706,IST,1701,,0,320 8Q,3788,AYT,1688,IST,1701,,0,320 8Q,3788,AYT,1688,KZN,2990,,0,321 8Q,3788,AYT,1688,SVO,2985,,0,321 8Q,3788,BJV,4315,IST,1701,,0,320 8Q,3788,CDG,1382,IST,1701,,0,320 8Q,3788,DIY,1722,IST,1701,,0,320 8Q,3788,DLM,1715,IST,1701,,0,320 8Q,3788,ECN,5780,IST,1701,,0,320 8Q,3788,ERZ,1724,IST,1701,,0,320 8Q,3788,EZS,1721,IST,1701,,0,320 8Q,3788,GNY,9044,IST,1701,,0,320 8Q,3788,GZP,8266,IST,1701,,0,320 8Q,3788,GZT,1689,IST,1701,,0,320 8Q,3788,IST,1701,ADA,1685,,0,320 8Q,3788,IST,1701,ADB,1706,,0,320 8Q,3788,IST,1701,AYT,1688,,0,320 8Q,3788,IST,1701,BJV,4315,,0,320 8Q,3788,IST,1701,CDG,1382,,0,320 8Q,3788,IST,1701,DIY,1722,,0,320 8Q,3788,IST,1701,DLM,1715,,0,320 8Q,3788,IST,1701,ECN,5780,,0,320 8Q,3788,IST,1701,ERZ,1724,,0,320 8Q,3788,IST,1701,EZS,1721,,0,320 8Q,3788,IST,1701,GNY,9044,,0,320 8Q,3788,IST,1701,GZP,8266,,0,320 8Q,3788,IST,1701,GZT,1689,,0,320 8Q,3788,IST,1701,MLX,1692,,0,320 8Q,3788,IST,1701,ODS,2947,,0,320 8Q,3788,IST,1701,TZX,1726,,0,320 8Q,3788,KZN,2990,AYT,1688,,0,321 8Q,3788,MLX,1692,IST,1701,,0,320 8Q,3788,ODS,2947,IST,1701,,0,320 8Q,3788,SVO,2985,AYT,1688,,0,321 8Q,3788,TZX,1726,IST,1701,,0,320 8R,5188,AEP,2442,MDQ,2508,,0,SF3 8R,5188,AEP,2442,PRA,2439,,0,SF3 8R,5188,AEP,2442,ROS,2440,,0,SF3 8R,5188,AEP,2442,SFN,2441,,0,SF3 8R,5188,BHI,2501,MDQ,2508,,0,SF3 8R,5188,BHI,2501,REL,2490,,0,SF3 8R,5188,BRC,2513,CRD,2487,,0,SF3 8R,5188,BRC,2513,EQS,2488,,0,SF3 8R,5188,COR,2443,MDZ,2452,,0,SF3 8R,5188,COR,2443,ROS,2440,,0,SF3 8R,5188,CRD,2487,NQN,2509,,0,SF3 8R,5188,CRD,2487,REL,2490,,0,SF3 8R,5188,CRD,2487,RGL,2496,,0,SF3 8R,5188,EQS,2488,BRC,2513,,0,SF3 8R,5188,EQS,2488,CRD,2487,,0,SF3 8R,5188,MDQ,2508,AEP,2442,,0,SF3 8R,5188,MDQ,2508,BHI,2501,,0,SF3 8R,5188,MDZ,2452,COR,2443,,0,SF3 8R,5188,MDZ,2452,NQN,2509,,0,SF3 8R,5188,NQN,2509,CRD,2487,,0,SF3 8R,5188,NQN,2509,MDZ,2452,,0,SF3 8R,5188,PDP,6777,ROS,2440,,0,SF3 8R,5188,PRA,2439,AEP,2442,,0,SF3 8R,5188,REL,2490,BHI,2501,,0,SF3 8R,5188,REL,2490,BRC,2513,,0,SF3 8R,5188,REL,2490,CRD,2487,,0,SF3 8R,5188,REL,2490,EQS,2488,,0,SF3 8R,5188,RGA,2495,RGL,2496,,0,SF3 8R,5188,RGL,2496,CRD,2487,,0,SF3 8R,5188,RGL,2496,RGA,2495,,0,SF3 8R,5188,RGL,2496,USH,2497,,0,SF3 8R,5188,ROS,2440,AEP,2442,,0,SF3 8R,5188,ROS,2440,COR,2443,,0,SF3 8R,5188,ROS,2440,PDP,6777,,0,SF3 8R,5188,SFN,2441,AEP,2442,,0,SF3 8T,68,YFJ,7277,YZF,196,,0,DHT 8T,68,YFS,60,YZF,196,,0,DHT 8T,68,YLE,5463,YZF,196,,0,DHT 8T,68,YRA,5526,YZF,196,,0,DHT 8T,68,YSG,5511,YZF,196,,0,DHT 8T,68,YZF,196,YFJ,7277,,0,DHT 8T,68,YZF,196,YFS,60,,0,DHT 8T,68,YZF,196,YLE,5463,,0,DHT 8T,68,YZF,196,YRA,5526,,0,DHT 8T,68,YZF,196,YSG,5511,,0,DHT 8U,32,AKF,1153,BEN,1154,,0,320 8U,32,AMM,2170,BEN,1154,,0,320 8U,32,AMM,2170,TIP,1157,,0,332 320 8U,32,BEN,1154,AKF,1153,,0,320 8U,32,BEN,1154,AMM,2170,,0,320 8U,32,BEN,1154,CAI,1128,,0,320 8U,32,BEN,1154,CMN,1074,,0,320 8U,32,BEN,1154,IST,1701,,0,320 8U,32,BEN,1154,JED,2072,,0,320 8U,32,BEN,1154,MRA,5804,,0,320 8U,32,BEN,1154,TIP,1157,,0,320 319 332 8U,32,BEN,1154,TUN,287,,0,319 320 8U,32,CAI,1128,BEN,1154,,0,320 8U,32,CAI,1128,TIP,1157,,0,320 332 8U,32,CMN,1074,BEN,1154,,0,320 8U,32,CMN,1074,TIP,1157,,0,320 319 332 8U,32,DXB,2188,TIP,1157,,0,332 8U,32,FCO,1555,TIP,1157,,0,320 8U,32,HBE,3410,TIP,1157,,0,320 319 8U,32,IST,1701,BEN,1154,,0,320 8U,32,IST,1701,MRA,5804,,0,320 8U,32,IST,1701,TIP,1157,,0,332 319 8U,32,JED,2072,BEN,1154,,0,320 8U,32,JED,2072,TIP,1157,,0,332 8U,32,MRA,5804,BEN,1154,,0,320 8U,32,MRA,5804,IST,1701,,0,320 8U,32,MRA,5804,SFA,295,,0,320 319 8U,32,MRA,5804,TUN,287,,0,319 320 8U,32,SFA,295,MRA,5804,,0,319 8U,32,SFA,295,TIP,1157,,0,320 319 8U,32,TIP,1157,AMM,2170,,0,332 320 8U,32,TIP,1157,BEN,1154,,0,320 319 332 8U,32,TIP,1157,CAI,1128,,0,320 332 8U,32,TIP,1157,CMN,1074,,0,320 319 332 8U,32,TIP,1157,FCO,1555,,0,320 8U,32,TIP,1157,HBE,3410,,0,320 319 8U,32,TIP,1157,IST,1701,,0,332 319 8U,32,TIP,1157,JED,2072,,0,332 8U,32,TIP,1157,SFA,295,,0,320 319 8U,32,TIP,1157,TOB,5697,,0,320 8U,32,TIP,1157,TUN,287,,0,319 320 8U,32,TUN,287,BEN,1154,,0,319 320 8U,32,TUN,287,MRA,5804,,0,319 320 8U,32,TUN,287,TIP,1157,,0,319 320 8V,55,AET,6839,BTT,3417,,0,CNC 8V,55,AET,6839,FAI,3832,,0,CNC 8V,55,AET,6839,HUS,7107,,0,CNC 8V,55,AKP,6712,BTT,3417,,0,CNC 8V,55,AKP,6712,FAI,3832,,0,PAG 8V,55,ARC,6729,VEE,7114,,0,CNC 8V,55,BTT,3417,AET,6839,,0,CNC 8V,55,BTT,3417,AKP,6712,,0,CNC 8V,55,BTT,3417,FAI,3832,,0,CNC 8V,55,FAI,3832,AET,6839,,0,CNC 8V,55,FAI,3832,AKP,6712,,0,PAG 8V,55,FAI,3832,BTT,3417,,0,CNC 8V,55,FAI,3832,FYU,3420,,0,CNC 8V,55,FAI,3832,GAL,3764,,0,CNC 8V,55,FAI,3832,KBC,7118,,0,CNC 8V,55,FAI,3832,LMA,\N,,0,PAG 8V,55,FAI,3832,RBY,6722,,0,CNC 8V,55,FAI,3832,TAL,7113,,0,CNC 8V,55,FYU,3420,FAI,3832,,0,CNC 8V,55,FYU,3420,VEE,7114,,0,CNC 8V,55,GAL,3764,KAL,6717,,0,CNC 8V,55,GAL,3764,NUL,7111,,0,CNC 8V,55,HSL,7108,HUS,7107,,0,CNC 8V,55,HSL,7108,RBY,6722,,0,CNC 8V,55,HSL,7108,TAL,7113,,0,CNC 8V,55,HUS,7107,FAI,3832,,0,CNC 8V,55,HUS,7107,TAL,7113,,0,CNC 8V,55,KAL,6717,HSL,7108,,0,CNC 8V,55,KBC,7118,FYU,3420,,0,CNC 8V,55,KYU,7208,FAI,3832,,0,CNC 8V,55,LMA,\N,FAI,3832,,0,PAG 8V,55,NUL,7111,KYU,7208,,0,CNC 8V,55,RBY,6722,FAI,3832,,0,CNC 8V,55,RBY,6722,TAL,7113,,0,CNC 8V,55,TAL,7113,FAI,3832,,0,CNC 8V,55,TAL,7113,HSL,7108,,0,CNC 8V,55,TAL,7113,RBY,6722,,0,CNC 8V,55,VEE,7114,ARC,6729,,0,CNC 8V,55,VEE,7114,FYU,3420,,0,CNC 9C,15999,BKI,3269,PVG,3406,,0,320 9C,15999,BKK,3885,PVG,3406,,0,320 9C,15999,CAN,3370,SHA,3391,,0,320 9C,15999,CAN,3370,SJW,6347,,0,320 9C,15999,CGD,6352,KMG,3382,,0,320 9C,15999,CGD,6352,SHA,3391,,0,320 9C,15999,CGQ,4380,PVG,3406,,0,320 9C,15999,CJU,2370,PVG,3406,,0,320 9C,15999,CKG,3393,LYA,4148,,0,320 9C,15999,CKG,3393,PVG,3406,,0,320 9C,15999,CKG,3393,SHA,3391,,0,320 9C,15999,CKG,3393,SJW,6347,,0,320 9C,15999,CNX,3931,PVG,3406,,0,320 9C,15999,CSX,3371,SHA,3391,,0,320 9C,15999,CTU,3395,SHA,3391,,0,320 9C,15999,CTU,3395,SJW,6347,,0,320 9C,15999,DLC,3404,HGH,3386,,0,320 9C,15999,DLC,3404,PVG,3406,,0,320 9C,15999,DLC,3404,SJW,6347,,0,320 9C,15999,DYG,6353,PVG,3406,,0,320 9C,15999,HET,6345,SJW,6347,,0,320 9C,15999,HGH,3386,DLC,3404,,0,320 9C,15999,HGH,3386,KWL,3372,,0,320 9C,15999,HGH,3386,SHE,4144,,0,320 9C,15999,HGH,3386,SJW,6347,,0,320 9C,15999,HGH,3386,SYX,4030,,0,320 9C,15999,HGH,3386,SZX,3374,,0,320 9C,15999,HIA,7898,HRB,3400,,0,320 9C,15999,HIA,7898,SZX,3374,,0,320 9C,15999,HKG,3077,PVG,3406,,0,320 9C,15999,HKT,3179,PVG,3406,,0,320 9C,15999,HRB,3400,HIA,7898,,0,320 9C,15999,HRB,3400,PVG,3406,,0,320 9C,15999,HSG,5996,PVG,3406,,0,320 9C,15999,IBR,2281,PVG,3406,,0,320 9C,15999,JIQ,8781,KMG,3382,,0,320 9C,15999,JIQ,8781,SHA,3391,,0,320 9C,15999,JJN,6386,SHA,3391,,0,320 9C,15999,KHH,2264,PVG,3406,,0,320 9C,15999,KIX,3992,PVG,3406,,0,320 9C,15999,KMG,3382,CGD,6352,,0,320 9C,15999,KMG,3382,JIQ,8781,,0,320 9C,15999,KMG,3382,MIG,6400,,0,320 9C,15999,KMG,3382,PVG,3406,,0,320 9C,15999,KMG,3382,SHA,3391,,0,320 9C,15999,KMG,3382,SJW,6347,,0,320 9C,15999,KMG,3382,ZYI,9846,,0,320 9C,15999,KWE,3394,SHA,3391,,0,320 9C,15999,KWL,3372,HGH,3386,,0,320 9C,15999,KWL,3372,PVG,3406,,0,320 9C,15999,KWL,3372,SJW,6347,,0,320 9C,15999,LHW,3378,PVG,3406,,0,320 9C,15999,LYA,4148,CKG,3393,,0,320 9C,15999,LYA,4148,SHE,4144,,0,320 9C,15999,MFM,3121,PVG,3406,,0,320 9C,15999,MIG,6400,KMG,3382,,0,320 9C,15999,MIG,6400,SHA,3391,,0,320 9C,15999,MIG,6400,SHE,4144,,0,320 9C,15999,NKG,3388,SHE,4144,,0,320 9C,15999,NNG,3373,SHA,3391,,0,320 9C,15999,PVG,3406,BKI,3269,,0,320 9C,15999,PVG,3406,BKK,3885,,0,320 9C,15999,PVG,3406,CGQ,4380,,0,320 9C,15999,PVG,3406,CJU,2370,,0,320 9C,15999,PVG,3406,CKG,3393,,0,320 9C,15999,PVG,3406,CNX,3931,,0,320 9C,15999,PVG,3406,DLC,3404,,0,320 9C,15999,PVG,3406,DYG,6353,,0,320 9C,15999,PVG,3406,HKG,3077,,0,320 9C,15999,PVG,3406,HKT,3179,,0,320 9C,15999,PVG,3406,HRB,3400,,0,320 9C,15999,PVG,3406,IBR,2281,,0,320 9C,15999,PVG,3406,KHH,2264,,0,320 9C,15999,PVG,3406,KIX,3992,,0,320 9C,15999,PVG,3406,KWL,3372,,0,320 9C,15999,PVG,3406,MFM,3121,,0,320 9C,15999,PVG,3406,NNG,3373,,0,320 9C,15999,PVG,3406,REP,3035,,0,320 9C,15999,PVG,3406,SHE,4144,,0,320 9C,15999,PVG,3406,SIN,3316,,0,320 9C,15999,PVG,3406,SYX,4030,,0,320 9C,15999,PVG,3406,TAK,2337,,0,320 9C,15999,PVG,3406,TAO,3390,,0,320 9C,15999,PVG,3406,TPE,2276,,0,320 9C,15999,PVG,3406,XMN,3383,,0,320 9C,15999,PVG,3406,ZHA,6357,,0,320 9C,15999,REP,3035,PVG,3406,,0,320 9C,15999,SHA,3391,CAN,3370,,0,320 9C,15999,SHA,3391,CGD,6352,,0,320 9C,15999,SHA,3391,CKG,3393,,0,320 9C,15999,SHA,3391,CSX,3371,,0,320 9C,15999,SHA,3391,CTU,3395,,0,320 9C,15999,SHA,3391,JIQ,8781,,0,320 9C,15999,SHA,3391,JJN,6386,,0,320 9C,15999,SHA,3391,KMG,3382,,0,320 9C,15999,SHA,3391,KWE,3394,,0,320 9C,15999,SHA,3391,LHW,3378,,0,320 9C,15999,SHA,3391,SJW,6347,,0,320 9C,15999,SHA,3391,SWA,4302,,0,320 9C,15999,SHA,3391,SYX,4030,,0,320 9C,15999,SHA,3391,SZX,3374,,0,320 9C,15999,SHA,3391,TAO,3390,,0,320 9C,15999,SHA,3391,URC,3399,,0,320 9C,15999,SHA,3391,XIY,3379,,0,320 9C,15999,SHA,3391,XMN,3383,,0,320 9C,15999,SHA,3391,ZUH,6355,,0,320 9C,15999,SHA,3391,ZYI,9846,,0,320 9C,15999,SHE,4144,HGH,3386,,0,320 9C,15999,SHE,4144,LYA,4148,,0,320 9C,15999,SHE,4144,MIG,6400,,0,320 9C,15999,SHE,4144,NKG,3388,,0,320 9C,15999,SHE,4144,PVG,3406,,0,320 9C,15999,SHE,4144,SJW,6347,,0,320 9C,15999,SHE,4144,SZX,3374,,0,320 9C,15999,SHE,4144,XIY,3379,,0,320 9C,15999,SIN,3316,PVG,3406,,0,320 9C,15999,SJW,6347,CAN,3370,,0,320 9C,15999,SJW,6347,CKG,3393,,0,320 9C,15999,SJW,6347,CTU,3395,,0,320 9C,15999,SJW,6347,DLC,3404,,0,320 9C,15999,SJW,6347,HET,6345,,0,320 9C,15999,SJW,6347,HGH,3386,,0,320 9C,15999,SJW,6347,KMG,3382,,0,320 9C,15999,SJW,6347,KWL,3372,,0,320 9C,15999,SJW,6347,SHA,3391,,0,320 9C,15999,SJW,6347,SHE,4144,,0,320 9C,15999,SJW,6347,SZX,3374,,0,320 9C,15999,SJW,6347,TPE,2276,,0,320 9C,15999,SJW,6347,XMN,3383,,0,320 9C,15999,SWA,4302,SHA,3391,,0,320 9C,15999,SYX,4030,HGH,3386,,0,320 9C,15999,SYX,4030,PVG,3406,,0,320 9C,15999,SYX,4030,SHA,3391,,0,320 9C,15999,SZX,3374,HGH,3386,,0,320 9C,15999,SZX,3374,HIA,7898,,0,320 9C,15999,SZX,3374,SHA,3391,,0,320 9C,15999,SZX,3374,SHE,4144,,0,320 9C,15999,SZX,3374,SJW,6347,,0,320 9C,15999,TAK,2337,PVG,3406,,0,320 9C,15999,TAO,3390,SHA,3391,,0,320 9C,15999,TPE,2276,PVG,3406,,0,320 9C,15999,TPE,2276,SJW,6347,,0,320 9C,15999,URC,3399,SHA,3391,,0,320 9C,15999,URC,3399,XIY,3379,,0,320 9C,15999,XIY,3379,SHA,3391,,0,320 9C,15999,XIY,3379,SHE,4144,,0,320 9C,15999,XIY,3379,URC,3399,,0,320 9C,15999,XMN,3383,PVG,3406,,0,320 9C,15999,XMN,3383,SHA,3391,,0,320 9C,15999,XMN,3383,SJW,6347,,0,320 9C,15999,ZHA,6357,PVG,3406,,0,320 9C,15999,ZUH,6355,PVG,3406,,0,320 9C,15999,ZUH,6355,SHA,3391,,0,320 9C,15999,ZYI,9846,KMG,3382,,0,320 9C,15999,ZYI,9846,SHA,3391,,0,320 9D,\N,JED,2072,NDJ,999,,0,737 747 9E,3976,ATL,3682,AZO,4039,,0,CRJ 9E,3976,ATL,3682,CHA,3578,,0,CRJ 9E,3976,ATL,3682,CID,4043,,0,CRJ 9E,3976,ATL,3682,CRW,4285,,0,CRJ 9E,3976,ATL,3682,CVG,3488,,0,CR9 9E,3976,ATL,3682,EVV,4018,,0,CRJ 9E,3976,ATL,3682,FWA,4041,,0,CRJ 9E,3976,ATL,3682,GSO,4008,,0,CR9 9E,3976,ATL,3682,GSP,4034,,0,CRJ 9E,3976,ATL,3682,LAN,3544,,0,CRJ 9E,3976,ATL,3682,LEX,4017,,0,CRJ 9E,3976,ATL,3682,MBS,4128,,0,CRJ 9E,3976,ATL,3682,MSP,3858,,0, 9E,3976,ATL,3682,ROA,4016,,0,CRJ 9E,3976,ATL,3682,SYR,3745,,0,CR9 9E,3976,ATL,3682,TYS,3676,,0,CRJ CR9 9E,3976,ATL,3682,XNA,4356,,0,CRJ 9E,3976,AZO,4039,ATL,3682,,0,CRJ 9E,3976,CHA,3578,ATL,3682,,0,CRJ 9E,3976,CRW,4285,ATL,3682,,0,CRJ 9E,3976,CVG,3488,ATL,3682,,0,CR9 9E,3976,DTW,3645,MSY,3861,,0,CR9 9E,3976,EVV,4018,ATL,3682,,0,CRJ 9E,3976,FWA,4041,ATL,3682,,0,CRJ 9E,3976,GFK,3442,TVF,7018,,0, 9E,3976,GSO,4008,ATL,3682,,0,CR9 9E,3976,GSP,4034,ATL,3682,,0,CRJ 9E,3976,JFK,3797,MSY,3861,,0,CR9 9E,3976,LAN,3544,ATL,3682,,0,CRJ 9E,3976,LEX,4017,ATL,3682,,0,CRJ 9E,3976,LGA,3697,MSY,3861,,0,CR9 9E,3976,MBS,4128,ATL,3682,,0,CRJ 9E,3976,MDT,3542,ATL,3682,,0,CRJ 9E,3976,MEM,3473,MSY,3861,,0,CRJ 9E,3976,MSP,3858,ATL,3682,,0, 9E,3976,MSP,3858,MSY,3861,,0,CR9 9E,3976,MSY,3861,DTW,3645,,0,CR9 9E,3976,MSY,3861,JFK,3797,,0,CR9 9E,3976,MSY,3861,LGA,3697,,0,CR9 9E,3976,MSY,3861,MEM,3473,,0,CRJ 9E,3976,MSY,3861,MSP,3858,,0,CR9 9E,3976,ROA,4016,ATL,3682,,0,CRJ 9E,3976,SYR,3745,ATL,3682,,0,CR9 9E,3976,TVF,7018,GFK,3442,,0, 9E,3976,TYS,3676,ATL,3682,,0,CRJ CR9 9E,3976,XNA,4356,ATL,3682,,0,CRJ 9K,1629,ACK,3517,BOS,3448,,0,CNA 9K,1629,ACK,3517,EWB,5737,,0,CNA 9K,1629,ACK,3517,HYA,4278,Y,0,CNA 9K,1629,ACK,3517,MVY,4265,,0,CNA 9K,1629,ALB,3864,BOS,3448,,0,CNA 9K,1629,ALB,3864,MSS,3546,,0,CNA 9K,1629,ALB,3864,OGS,3724,,0,CNA 9K,1629,AUG,3701,BOS,3448,,0,CNA 9K,1629,AXA,2900,SJU,2890,,0,CNA 9K,1629,BHB,4025,BOS,3448,,0,CNA 9K,1629,BIL,4021,GDV,7070,,0,CNA 9K,1629,BIL,4021,GGW,5739,,0,CNA 9K,1629,BIL,4021,HVR,3604,,0,CNA 9K,1629,BIL,4021,OLF,7071,,0,CNA 9K,1629,BIL,4021,SDY,7065,,0,CNA 9K,1629,BOS,3448,ACK,3517,,0,CNA 9K,1629,BOS,3448,ALB,3864,,0,CNA 9K,1629,BOS,3448,AUG,3701,,0,CNA 9K,1629,BOS,3448,BHB,4025,,0,CNA 9K,1629,BOS,3448,HYA,4278,,0,CNA 9K,1629,BOS,3448,LEB,5749,,0,CNA 9K,1629,BOS,3448,MVY,4265,,0,CNA 9K,1629,BOS,3448,PVC,6456,,0,CNA 9K,1629,BOS,3448,RKD,4026,,0,CNA 9K,1629,BOS,3448,RUT,5767,,0,CNA 9K,1629,BOS,3448,SLK,5770,,0,CNA 9K,1629,CGI,5728,STL,3678,,0,CNA 9K,1629,CPX,6814,SJU,2890,,0,BNI 9K,1629,EIS,2903,SJU,2890,,0,CNA 9K,1629,EIS,2903,STT,2883,,0,CNA 9K,1629,EWB,5737,ACK,3517,,0,CNA 9K,1629,EWB,5737,HPN,3589,,0,CNA 9K,1629,EWB,5737,MVY,4265,,0,CNA 9K,1629,GDV,7070,BIL,4021,,0,CNA 9K,1629,GGW,5739,BIL,4021,,0,CNA 9K,1629,HPN,3589,HYA,4278,,0,CNA 9K,1629,HPN,3589,LEB,5749,,0,CNA 9K,1629,HPN,3589,MVY,4265,,0,CNA 9K,1629,HVR,3604,BIL,4021,,0,CNA 9K,1629,HYA,4278,ACK,3517,Y,0,CNA 9K,1629,HYA,4278,BOS,3448,,0,CNA 9K,1629,IRK,5744,STL,3678,,0,CNA 9K,1629,LEB,5749,BOS,3448,,0,CNA 9K,1629,LEB,5749,HPN,3589,,0,CNA 9K,1629,MAZ,2888,SJU,2890,,0,CNA 9K,1629,MSS,3546,ALB,3864,,0,CNA 9K,1629,MVY,4265,ACK,3517,,0,CNA 9K,1629,MVY,4265,BOS,3448,,0,CNA 9K,1629,MVY,4265,EWB,5737,,0,CNA 9K,1629,MVY,4265,HPN,3589,,0,CNA 9K,1629,MWA,6825,STL,3678,,0,CNA 9K,1629,NEV,6079,SJU,2890,,0,CNA 9K,1629,OGS,3724,ALB,3864,,0,CNA 9K,1629,OLF,7071,BIL,4021,,0,CNA 9K,1629,OWB,5758,STL,3678,,0,CNA 9K,1629,PVC,6456,BOS,3448,,0,CNA 9K,1629,RKD,4026,BOS,3448,,0,CNA 9K,1629,RUT,5767,BOS,3448,,0,CNA 9K,1629,SDY,7065,BIL,4021,,0,CNA 9K,1629,SJU,2890,AXA,2900,,0,CNA 9K,1629,SJU,2890,CPX,6814,,0,BNI 9K,1629,SJU,2890,EIS,2903,,0,CNA 9K,1629,SJU,2890,MAZ,2888,,0,CNA 9K,1629,SJU,2890,NEV,6079,,0,CNA 9K,1629,SJU,2890,STT,2883,,0,CNA 9K,1629,SJU,2890,STX,2884,,0,CNA 9K,1629,SJU,2890,VIJ,6080,,0,BNI 9K,1629,SJU,2890,VQS,6788,,0,CNA 9K,1629,SLK,5770,BOS,3448,,0,CNA 9K,1629,STL,3678,CGI,5728,,0,CNA 9K,1629,STL,3678,IRK,5744,,0,CNA 9K,1629,STL,3678,MWA,6825,,0,CNA 9K,1629,STL,3678,OWB,5758,,0,CNA 9K,1629,STL,3678,TBN,3665,,0,CNA 9K,1629,STL,3678,UIN,5774,,0,CNA 9K,1629,STT,2883,EIS,2903,,0,CNA 9K,1629,STT,2883,SJU,2890,,0,CNA 9K,1629,STT,2883,STX,2884,,0,CNA 9K,1629,STX,2884,SJU,2890,,0,CNA 9K,1629,STX,2884,STT,2883,,0,CNA 9K,1629,STX,2884,VQS,6788,,0,CNA 9K,1629,TBN,3665,STL,3678,,0,CNA 9K,1629,UIN,5774,STL,3678,,0,CNA 9K,1629,VIJ,6080,SJU,2890,,0,BNI 9K,1629,VQS,6788,SJU,2890,,0,CNA 9K,1629,VQS,6788,STX,2884,,0,CNA 9M,\N,YBL,30,YQQ,119,,0,BEH 9M,\N,YBL,30,YVR,156,,0,BEH 9M,\N,YDQ,48,YVR,156,,0,DH1 9M,\N,YDQ,48,YYE,180,,0,DH1 9M,\N,YEG,49,YOJ,99,,0,BEH 9M,\N,YEG,49,YOP,7266,,0,BEH 9M,\N,YEG,49,YXJ,168,,0,D38 DH3 9M,\N,YEG,49,YYC,178,,0,BEH D38 DH3 9M,\N,YKA,78,YVR,156,,0,BEH 9M,\N,YKA,78,YXS,172,,0,BEH 9M,\N,YLL,85,YYC,178,,0,BEH 9M,\N,YLW,87,YXS,172,,0,BEH 9M,\N,YOJ,99,YEG,49,,0,BEH 9M,\N,YOJ,99,YOP,7266,,0,BEH 9M,\N,YOP,7266,YEG,49,,0,BEH 9M,\N,YOP,7266,YOJ,99,,0,BEH 9M,\N,YQQ,119,YBL,30,,0,BEH 9M,\N,YQQ,119,YVR,156,,0,BEH 9M,\N,YQZ,127,YVR,156,,0,BEH 9M,\N,YQZ,127,YWL,162,,0,BEH 9M,\N,YVR,156,YBL,30,,0,BEH 9M,\N,YVR,156,YDQ,48,,0,DH1 9M,\N,YVR,156,YKA,78,,0,BEH 9M,\N,YVR,156,YQQ,119,,0,BEH 9M,\N,YVR,156,YQZ,127,,0,BEH 9M,\N,YVR,156,YWL,162,,0,BEH 9M,\N,YWL,162,YQZ,127,,0,BEH 9M,\N,YWL,162,YVR,156,,0,BEH 9M,\N,YXJ,168,YEG,49,,0,D38 DH3 9M,\N,YXJ,168,YXS,172,,0,BEH 9M,\N,YXJ,168,YYE,180,,0,D38 BEH DH3 9M,\N,YXS,172,YKA,78,,0,BEH 9M,\N,YXS,172,YLW,87,,0,BEH 9M,\N,YXS,172,YXJ,168,,0,BEH 9M,\N,YXS,172,YXT,173,,0,DH3 9M,\N,YXS,172,YYC,178,,0,DH3 9M,\N,YXS,172,YYD,179,,0,BEH 9M,\N,YXS,172,YYE,180,,0,BEH 9M,\N,YXT,173,YXS,172,,0,DH3 9M,\N,YYC,178,YEG,49,,0,D38 BEH DH3 9M,\N,YYC,178,YLL,85,,0,BEH D38 9M,\N,YYC,178,YXS,172,,0,DH3 9M,\N,YYD,179,YXS,172,,0,BEH 9M,\N,YYE,180,YDQ,48,,0,DH1 9M,\N,YYE,180,YXJ,168,,0,D38 BEH DH3 9M,\N,YYE,180,YXS,172,,0,BEH 9N,19810,BCV,8227,BZE,1957,,0,CNC 9N,19810,BCV,8227,CUK,5454,,0,CNC 9N,19810,BCV,8227,SPR,4279,,0,CNC 9N,19810,BCV,8227,SQS,\N,,0,CNC 9N,19810,BCV,8227,TZA,6463,,0,CNC 9N,19810,BZE,1957,BCV,8227,,0,CNC 9N,19810,BZE,1957,CUK,5454,,0,CNC 9N,19810,BZE,1957,CUN,1852,,0,CNC 9N,19810,BZE,1957,DGA,7287,,0,CNC 9N,19810,BZE,1957,FRS,4024,,0,CNC 9N,19810,BZE,1957,MID,1819,,0,CNC 9N,19810,BZE,1957,PLJ,7288,,0,CNC 9N,19810,BZE,1957,RTB,1774,,0,CNC 9N,19810,BZE,1957,SAP,1772,,0,CNC 9N,19810,BZE,1957,SPR,4279,,0,CNC 9N,19810,BZE,1957,SQS,\N,,0,CNC 9N,19810,BZE,1957,TZA,6463,,0,CNC 9N,19810,CUK,5454,BCV,8227,,0,CNC 9N,19810,CUK,5454,BZE,1957,,0,CNC 9N,19810,CUK,5454,SPR,4279,,0,CNC 9N,19810,CUK,5454,TZA,6463,,0,CNC 9N,19810,CUN,1852,BZE,1957,,0,CNC 9N,19810,CZH,7029,SPR,4279,,0,CNC 9N,19810,DGA,7287,BZE,1957,,0,CNC 9N,19810,DGA,7287,PLJ,7288,,0,CNC 9N,19810,DGA,7287,TZA,6463,,0,CNC 9N,19810,FRS,4024,BZE,1957,,0,CNC 9N,19810,MID,1819,BZE,1957,,0,CNC 9N,19810,PLJ,7288,BZE,1957,,0,CNC 9N,19810,PLJ,7288,DGA,7287,,0,CNC 9N,19810,PLJ,7288,PND,5455,,0,CNC 9N,19810,PND,5455,PLJ,7288,,0,CNC 9N,19810,RTB,1774,BZE,1957,,0,CNC 9N,19810,SAP,1772,BZE,1957,,0,CNC 9N,19810,SPR,4279,BCV,8227,,0,CNC 9N,19810,SPR,4279,BZE,1957,,0,CNC 9N,19810,SPR,4279,CUK,5454,,0,CNC 9N,19810,SPR,4279,CZH,7029,,0,CNC 9N,19810,SPR,4279,SQS,\N,,0,CNC 9N,19810,SPR,4279,TZA,6463,,0,CNC 9N,19810,SQS,\N,BCV,8227,,0,CNC 9N,19810,SQS,\N,BZE,1957,,0,CNC 9N,19810,SQS,\N,SPR,4279,,0,CNC 9N,19810,SQS,\N,TZA,6463,,0,CNC 9N,19810,TZA,6463,BCV,8227,,0,CNC 9N,19810,TZA,6463,BZE,1957,,0,CNC 9N,19810,TZA,6463,CUK,5454,,0,CNC 9N,19810,TZA,6463,DGA,7287,,0,CNC 9N,19810,TZA,6463,SPR,4279,,0,CNC 9N,19810,TZA,6463,SQS,\N,,0,CNC 9Q,3835,GDT,5807,PLS,1754,,0,CNT 9Q,3835,GDT,5807,SLX,5809,,0,CNT 9Q,3835,PLS,1754,GDT,5807,,0,CNT 9Q,3835,SLX,5809,GDT,5807,,0,CNT 9R,4691,ACR,6740,LCR,7356,,0,BE1 9R,4691,ACR,6740,SVI,2750,,0,BE1 9R,4691,ADZ,2749,PVA,2743,,0,L4T 9R,4691,APO,2726,BOG,2709,,0,ER4 9R,4691,APO,2726,EOH,2729,,0,AT7 9R,4691,AUC,2752,BOG,2709,,0,E70 9R,4691,BOG,2709,APO,2726,,0,ER4 9R,4691,BOG,2709,AUC,2752,,0,E70 9R,4691,BOG,2709,BUN,2712,,0,AT5 9R,4691,BOG,2709,CZU,2717,,0,AT7 9R,4691,BOG,2709,EOH,2729,,0,ER4 AT5 AT7 9R,4691,BOG,2709,FLA,2719,,0,AT5 9R,4691,BOG,2709,IPI,2725,,0,BE1 9R,4691,BOG,2709,MVP,2732,,0,E70 9R,4691,BOG,2709,PCR,2738,,0,E70 9R,4691,BOG,2709,PDA,6054,,0,E70 9R,4691,BOG,2709,PSO,2742,,0,E70 9R,4691,BOG,2709,PUU,2706,,0,AT5 9R,4691,BOG,2709,RVE,7355,,0,AT5 9R,4691,BOG,2709,SJE,2747,,0,AT5 9R,4691,BOG,2709,SVI,2750,,0,BE1 9R,4691,BOG,2709,TME,2751,,0,AT5 9R,4691,BOG,2709,UIB,2753,,0,AT5 9R,4691,BOG,2709,VGZ,7359,,0,AT5 9R,4691,BOG,2709,VVC,2756,,0,AT7 BE1 9R,4691,BSC,2711,EOH,2729,,0,AT5 9R,4691,BUN,2712,BOG,2709,,0,AT5 9R,4691,CLO,2715,GPI,2722,,0,AT5 9R,4691,CLO,2715,PUU,2706,,0,AT5 9R,4691,CLO,2715,UIB,2753,,0,AT5 9R,4691,CZU,2717,BOG,2709,,0,AT7 9R,4691,EOH,2729,APO,2726,,0,AT7 9R,4691,EOH,2729,BOG,2709,,0,AT5 ER4 AT7 9R,4691,EOH,2729,BSC,2711,,0,AT5 9R,4691,EOH,2729,NQU,6053,,0,L4T 9R,4691,EOH,2729,UIB,2753,,0,AT5 9R,4691,FLA,2719,BOG,2709,,0,AT5 9R,4691,GPI,2722,CLO,2715,,0,AT5 9R,4691,IPI,2725,BOG,2709,,0,BE1 9R,4691,LCR,7356,ACR,6740,,0,BE1 9R,4691,LCR,7356,LET,2728,,0,BE1 9R,4691,LET,2728,LCR,7356,,0,BE1 9R,4691,LET,2728,LPD,6052,,0,BE1 9R,4691,LET,2728,TCD,5477,,0,BE1 9R,4691,LMC,7358,VVC,2756,,0,BE1 9R,4691,LPD,6052,LET,2728,,0,BE1 9R,4691,LQM,6051,PUU,2706,,0,AT5 9R,4691,MVP,2732,BOG,2709,,0,E70 9R,4691,MVP,2732,VVC,2756,,0,AT7 9R,4691,NQU,6053,EOH,2729,,0,L4T 9R,4691,PCR,2738,BOG,2709,,0,E70 9R,4691,PCR,2738,VVC,2756,,0,E70 9R,4691,PDA,6054,BOG,2709,,0,E70 9R,4691,PDA,6054,VVC,2756,,0,E70 9R,4691,PSO,2742,BOG,2709,,0,E70 9R,4691,PUU,2706,BOG,2709,,0,AT5 9R,4691,PUU,2706,CLO,2715,,0,AT5 9R,4691,PUU,2706,LQM,6051,,0,AT5 9R,4691,PVA,2743,ADZ,2749,,0,L4T 9R,4691,RVE,7355,BOG,2709,,0,AT5 9R,4691,RVE,7355,TME,2751,,0,AT5 9R,4691,SJE,2747,BOG,2709,,0,AT5 9R,4691,SVI,2750,ACR,6740,,0,BE1 9R,4691,SVI,2750,BOG,2709,,0,BE1 9R,4691,TCD,5477,LET,2728,,0,BE1 9R,4691,TME,2751,BOG,2709,,0,AT5 9R,4691,TME,2751,RVE,7355,,0,AT5 9R,4691,UIB,2753,BOG,2709,,0,AT5 9R,4691,UIB,2753,CLO,2715,,0,AT5 9R,4691,UIB,2753,EOH,2729,,0,AT5 9R,4691,VGZ,7359,BOG,2709,,0,AT5 9R,4691,VVC,2756,BOG,2709,,0,AT7 BE1 9R,4691,VVC,2756,LMC,7358,,0,BE1 9R,4691,VVC,2756,MVP,2732,,0,AT7 9R,4691,VVC,2756,PCR,2738,,0,E70 9R,4691,VVC,2756,PDA,6054,,0,E70 9U,1073,AER,2965,KIV,1735,,0,EM2 9U,1073,ATH,3941,KIV,1735,,0,E90 9U,1073,BLQ,1538,KIV,1735,,0,E90 9U,1073,BVA,1367,KIV,1735,,0,E90 9U,1073,DME,4029,KIV,1735,,0,320 E90 9U,1073,DUB,599,KIV,1735,,0,E90 9U,1073,FCO,1555,KIV,1735,,0,E90 9U,1073,FRA,340,KIV,1735,,0,E90 9U,1073,IST,1701,KIV,1735,,0,320 E90 9U,1073,KBP,2939,KIV,1735,,0,EM2 9U,1073,KIV,1735,AER,2965,,0,EM2 9U,1073,KIV,1735,ATH,3941,,0,E90 9U,1073,KIV,1735,BLQ,1538,,0,E90 9U,1073,KIV,1735,BVA,1367,,0,E90 9U,1073,KIV,1735,DME,4029,,0,320 E90 9U,1073,KIV,1735,DUB,599,,0,E90 9U,1073,KIV,1735,FCO,1555,,0,E90 9U,1073,KIV,1735,FRA,340,,0,E90 9U,1073,KIV,1735,IST,1701,,0,320 E90 9U,1073,KIV,1735,KBP,2939,,0,EM2 9U,1073,KIV,1735,LCA,1197,,0,E90 9U,1073,KIV,1735,LED,2948,,0,E90 9U,1073,KIV,1735,LIS,1638,,0,E90 9U,1073,KIV,1735,MXP,1524,,0,E90 9U,1073,KIV,1735,OTP,1657,,0,EM2 9U,1073,KIV,1735,SGC,2974,,0,E90 9U,1073,KIV,1735,STN,548,,0,E90 320 9U,1073,KIV,1735,VCE,1551,,0,E90 9U,1073,KIV,1735,VRN,1550,,0,E90 9U,1073,LCA,1197,KIV,1735,,0,E90 9U,1073,LED,2948,KIV,1735,,0,E90 9U,1073,LIS,1638,KIV,1735,,0,E90 9U,1073,MXP,1524,KIV,1735,,0,E90 9U,1073,OTP,1657,KIV,1735,,0,EM2 9U,1073,SGC,2974,KIV,1735,,0,E90 9U,1073,STN,548,KIV,1735,,0,E90 320 9U,1073,VCE,1551,KIV,1735,,0,E90 9U,1073,VRN,1550,KIV,1735,,0,E90 9V,20004,AUA,2895,CCS,2851,,0,732 9V,20004,AUA,2895,MAR,2848,,0,732 9V,20004,BLA,2821,CCS,2851,,0,734 732 9V,20004,BLA,2821,MIA,3576,,0,734 9V,20004,BLA,2821,PMV,2850,,0,732 9V,20004,BLA,2821,PTY,1871,,0,734 9V,20004,BLA,2821,PZO,2856,,0,732 9V,20004,BLA,2821,VLN,2868,,0,732 9V,20004,BNS,2822,CCS,2851,,0,732 9V,20004,CCS,2851,AUA,2895,,0,732 9V,20004,CCS,2851,BLA,2821,,0,734 732 9V,20004,CCS,2851,BNS,2822,,0,732 9V,20004,CCS,2851,CUR,2897,,0,732 9V,20004,CCS,2851,MAR,2848,,0,732 9V,20004,CCS,2851,MRD,2849,,0,F50 9V,20004,CCS,2851,PZO,2856,,0,F50 9V,20004,CCS,2851,VLV,2870,,0,F50 9V,20004,CUR,2897,CCS,2851,,0,732 9V,20004,MAR,2848,AUA,2895,,0,732 9V,20004,MAR,2848,CCS,2851,,0,732 9V,20004,MAR,2848,VLN,2868,,0,732 9V,20004,MIA,3576,BLA,2821,,0,734 9V,20004,MRD,2849,CCS,2851,,0,F50 9V,20004,PMV,2850,BLA,2821,,0,732 9V,20004,PMV,2850,CCS,2851,,0,732 9V,20004,PTY,1871,BLA,2821,,0,734 9V,20004,PZO,2856,BLA,2821,,0,732 9V,20004,PZO,2856,CCS,2851,,0,F50 9V,20004,VLN,2868,BLA,2821,,0,732 9V,20004,VLN,2868,MAR,2848,,0,732 9V,20004,VLV,2870,CCS,2851,,0,F50 9W,3000,AJL,3039,CCU,3043,Y,0,AT7 9W,3000,AJL,3039,GAU,6173,Y,0,AT7 9W,3000,AMD,2994,AUH,2179,,0,320 9W,3000,AMD,2994,BOM,2997,,0,738 9W,3000,AMD,2994,DEL,3093,Y,0,738 73W 9W,3000,ATQ,3081,DEL,3093,,0,738 9W,3000,AUH,2179,AMD,2994,,0,320 9W,3000,AUH,2179,BLR,3131,,0,73H 320 9W,3000,AUH,2179,BOM,2997,,0,73H 320 9W,3000,AUH,2179,CCJ,3137,,0,320 9W,3000,AUH,2179,COK,3136,,0,73H 9W,3000,AUH,2179,DEL,3093,,0,73H 320 9W,3000,AUH,2179,DMM,2064,,0,73H 9W,3000,AUH,2179,HYD,\N,,0,73H 9W,3000,AUH,2179,KWI,2176,,0,73H 9W,3000,AUH,2179,MAA,3144,,0,73H 9W,3000,AUH,2179,TRV,3153,Y,0,320 9W,3000,BAH,2057,BOM,2997,,0,73H 9W,3000,BDQ,3001,BOM,2997,,0,73W 738 73H 9W,3000,BHJ,2999,BOM,2997,,0,73H 9W,3000,BHO,3002,BOM,2997,Y,0,73G 738 9W,3000,BHO,3002,DEL,3093,Y,0,AT7 9W,3000,BHU,3003,BOM,2997,Y,0,73G 9W,3000,BKK,3885,BOM,2997,,0,739 73H 9W,3000,BKK,3885,DEL,3093,,0,73H 9W,3000,BLR,3131,AUH,2179,,0,320 73H 9W,3000,BLR,3131,BOM,2997,,0,738 73W 73H 739 9W,3000,BLR,3131,CCU,3043,Y,0,738 9W,3000,BLR,3131,CJB,3135,Y,0,AT7 9W,3000,BLR,3131,COK,3136,Y,0,AT7 9W,3000,BLR,3131,DEL,3093,,0,73H 738 9W,3000,BLR,3131,GOI,3007,Y,0,AT7 9W,3000,BLR,3131,HYD,\N,Y,0,AT7 9W,3000,BLR,3131,IDR,3008,Y,0,738 9W,3000,BLR,3131,IXE,3143,Y,0,AT7 738 9W,3000,BLR,3131,KUL,3304,Y,0,738 9W,3000,BLR,3131,MAA,3144,Y,0,739 AT7 738 9W,3000,BLR,3131,PNQ,3017,Y,0,738 9W,3000,BLR,3131,TRV,3153,Y,0,73H 9W,3000,BLR,3131,VTZ,3066,Y,0,73G 9W,3000,BOM,2997,AMD,2994,,0,738 9W,3000,BOM,2997,AUH,2179,,0,73H 320 9W,3000,BOM,2997,BAH,2057,,0,73H 9W,3000,BOM,2997,BDQ,3001,,0,73W 738 73H 9W,3000,BOM,2997,BHJ,2999,,0,73H 9W,3000,BOM,2997,BHO,3002,Y,0,73G 9W,3000,BOM,2997,BHU,3003,Y,0,73G 9W,3000,BOM,2997,BKK,3885,,0,73H 739 9W,3000,BOM,2997,BLR,3131,,0,738 73W 739 73H 9W,3000,BOM,2997,BRU,302,,0,332 333 9W,3000,BOM,2997,CCJ,3137,Y,0,738 9W,3000,BOM,2997,CCU,3043,,0,73H 738 9W,3000,BOM,2997,CJB,3135,Y,0,738 9W,3000,BOM,2997,CMB,3024,,0,73H 9W,3000,BOM,2997,COK,3136,,0,73H 9W,3000,BOM,2997,DAC,3076,,0,739 73H 9W,3000,BOM,2997,DEL,3093,,0,739 73H 738 9W,3000,BOM,2997,DIU,5711,Y,0,AT7 9W,3000,BOM,2997,DMM,2064,,0,73H 9W,3000,BOM,2997,DOH,11051,,0,73H 9W,3000,BOM,2997,DXB,2188,,0,73H 9W,3000,BOM,2997,GOI,3007,,0,73H 9W,3000,BOM,2997,HKG,3077,,0,77W 9W,3000,BOM,2997,HYD,\N,,0,738 73H 9W,3000,BOM,2997,IDR,3008,Y,0,73H 73G 9W,3000,BOM,2997,IXC,3089,,0,738 9W,3000,BOM,2997,IXE,3143,,0,73H 9W,3000,BOM,2997,IXU,2996,,0,738 9W,3000,BOM,2997,JAI,3098,,0,73W 9W,3000,BOM,2997,JDH,3097,,0,73H 9W,3000,BOM,2997,JED,2072,,0,739 9W,3000,BOM,2997,JNB,813,,0,332 9W,3000,BOM,2997,KTM,3125,,0,73H 739 9W,3000,BOM,2997,KUL,3304,Y,0,772 9W,3000,BOM,2997,KWI,2176,,0,73H 9W,3000,BOM,2997,LHR,507,,0,77W 9W,3000,BOM,2997,LKO,3105,,0,73H 9W,3000,BOM,2997,MAA,3144,,0,738 73H 9W,3000,BOM,2997,MCT,2194,,0,73H 9W,3000,BOM,2997,NAG,3015,Y,0,73G 9W,3000,BOM,2997,NBO,4059,Y,0,772 9W,3000,BOM,2997,NRT,2279,Y,0,737 9W,3000,BOM,2997,PNQ,3017,,0,738 9W,3000,BOM,2997,RAJ,3019,Y,0,73G 9W,3000,BOM,2997,RPR,3020,Y,0,738 9W,3000,BOM,2997,RUH,2082,,0,739 73H 9W,3000,BOM,2997,SIN,3316,,0,73H 9W,3000,BOM,2997,TRV,3153,,0,73H 9W,3000,BOM,2997,UDR,3023,Y,0,73H 73G 9W,3000,BOM,2997,VTZ,3066,,0,738 9W,3000,BRU,302,BOM,2997,,0,333 332 9W,3000,BRU,302,DEL,3093,,0,333 9W,3000,BRU,302,EWR,3494,,0,333 9W,3000,BRU,302,YYZ,193,,0,332 333 9W,3000,CCJ,3137,AUH,2179,,0,320 9W,3000,CCJ,3137,BOM,2997,Y,0,738 9W,3000,CCU,3043,AJL,3039,Y,0,AT7 9W,3000,CCU,3043,BLR,3131,Y,0,738 9W,3000,CCU,3043,BOM,2997,,0,738 73H 9W,3000,CCU,3043,DAC,3076,,0,738 9W,3000,CCU,3043,DEL,3093,Y,0,738 9W,3000,CCU,3043,GAU,6173,Y,0,AT7 738 9W,3000,CCU,3043,IXA,3038,Y,0,AT7 9W,3000,CCU,3043,IXB,3040,,0,738 9W,3000,CCU,3043,IXR,3063,Y,0,AT7 9W,3000,CCU,3043,IXS,3055,Y,0,AT7 9W,3000,CCU,3043,IXZ,3146,Y,0,738 9W,3000,CCU,3043,PAT,3061,Y,0,AT7 9W,3000,CCU,3043,VNS,3084,Y,0,AT7 9W,3000,CCU,3043,VTZ,3066,Y,0,73G 9W,3000,CJB,3135,BLR,3131,Y,0,AT7 9W,3000,CJB,3135,BOM,2997,Y,0,738 9W,3000,CJB,3135,MAA,3144,Y,0,AT7 9W,3000,CMB,3024,BOM,2997,,0,73H 9W,3000,COK,3136,AUH,2179,,0,73H 9W,3000,COK,3136,BLR,3131,Y,0,AT7 9W,3000,COK,3136,BOM,2997,,0,73H 9W,3000,COK,3136,DMM,2064,,0,73H 9W,3000,COK,3136,DOH,11051,,0,73H 9W,3000,COK,3136,MAA,3144,Y,0,AT7 73H 9W,3000,COK,3136,MCT,2194,,0,73H 9W,3000,COK,3136,SHJ,2191,,0,73H 9W,3000,DAC,3076,BOM,2997,,0,739 73H 9W,3000,DAC,3076,CCU,3043,,0,738 9W,3000,DAC,3076,DEL,3093,,0,738 9W,3000,DED,3092,DEL,3093,,0,738 9W,3000,DEL,3093,AMD,2994,Y,0,73W 738 9W,3000,DEL,3093,ATQ,3081,,0,738 9W,3000,DEL,3093,AUH,2179,,0,73H 320 9W,3000,DEL,3093,BHO,3002,Y,0,AT7 9W,3000,DEL,3093,BKK,3885,,0,73H 9W,3000,DEL,3093,BLR,3131,,0,738 73H 9W,3000,DEL,3093,BOM,2997,,0,739 738 73H 9W,3000,DEL,3093,BRU,302,,0,333 9W,3000,DEL,3093,CCU,3043,Y,0,738 9W,3000,DEL,3093,DAC,3076,,0,738 9W,3000,DEL,3093,DED,3092,,0,738 9W,3000,DEL,3093,DMM,2064,,0,73H 9W,3000,DEL,3093,DOH,11051,,0,73H 9W,3000,DEL,3093,DXB,2188,,0,73H 9W,3000,DEL,3093,GAU,6173,Y,0,738 9W,3000,DEL,3093,GOP,6741,Y,0,AT7 9W,3000,DEL,3093,HKG,3077,,0,332 77W 9W,3000,DEL,3093,HYD,\N,Y,0,73W 738 9W,3000,DEL,3093,IDR,3008,,0,73H 9W,3000,DEL,3093,IXB,3040,,0,73W 9W,3000,DEL,3093,IXC,3089,Y,0,738 AT7 9W,3000,DEL,3093,IXJ,3100,Y,0,73H 738 9W,3000,DEL,3093,IXL,3104,Y,0,73W 9W,3000,DEL,3093,IXR,3063,Y,0,73H 9W,3000,DEL,3093,JAI,3098,,0,73H 9W,3000,DEL,3093,JDH,3097,Y,0,AT7 9W,3000,DEL,3093,KTM,3125,,0,73H 9W,3000,DEL,3093,KUL,3304,Y,0,333 738 9W,3000,DEL,3093,LHR,507,,0,77W 9W,3000,DEL,3093,LKO,3105,Y,0,AT7 73W 739 738 9W,3000,DEL,3093,MAA,3144,,0,73H 738 9W,3000,DEL,3093,PAT,3061,,0,73H 9W,3000,DEL,3093,PNQ,3017,,0,738 73H 73W 9W,3000,DEL,3093,RPR,3020,Y,0,73W 9W,3000,DEL,3093,SIN,3316,,0,73H 9W,3000,DEL,3093,SXR,3112,,0,738 73H 9W,3000,DEL,3093,UDR,3023,Y,0,AT7 9W,3000,DEL,3093,VNS,3084,Y,0,738 9W,3000,DIB,3057,GAU,6173,Y,0,738 9W,3000,DIU,5711,PBD,3018,Y,0,AT7 9W,3000,DMM,2064,AUH,2179,,0,73H 9W,3000,DMM,2064,BOM,2997,,0,73H 9W,3000,DMM,2064,COK,3136,,0,73H 9W,3000,DMM,2064,DEL,3093,,0,73H 9W,3000,DMM,2064,TRV,3153,,0,73H 9W,3000,DOH,11051,BOM,2997,,0,73H 9W,3000,DOH,11051,COK,3136,,0,73H 9W,3000,DOH,11051,DEL,3093,,0,73H 9W,3000,DXB,2188,BOM,2997,,0,73H 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9W,3000,IXB,3040,CCU,3043,,0,738 9W,3000,IXB,3040,DEL,3093,,0,73W 9W,3000,IXC,3089,BOM,2997,,0,738 9W,3000,IXC,3089,DEL,3093,Y,0,738 AT7 9W,3000,IXE,3143,BLR,3131,,0,738 9W,3000,IXE,3143,BOM,2997,,0,73H 9W,3000,IXE,3143,DXB,2188,,0,73H 9W,3000,IXJ,3100,DEL,3093,Y,0,73H 738 9W,3000,IXL,3104,DEL,3093,,0,73W 9W,3000,IXM,3142,MAA,3144,Y,0,AT7 9W,3000,IXR,3063,CCU,3043,Y,0,AT7 9W,3000,IXR,3063,DEL,3093,Y,0,73H 9W,3000,IXS,3055,CCU,3043,Y,0,AT7 9W,3000,IXS,3055,GAU,6173,Y,0,AT7 9W,3000,IXU,2996,BOM,2997,,0,738 9W,3000,IXZ,3146,CCU,3043,Y,0,738 9W,3000,IXZ,3146,MAA,3144,,0,73H 9W,3000,JAI,3098,BOM,2997,Y,0,73G 73W 9W,3000,JAI,3098,DEL,3093,,0,73H 9W,3000,JDH,3097,BOM,2997,,0,73H 9W,3000,JDH,3097,DEL,3093,Y,0,AT7 9W,3000,JED,2072,BOM,2997,,0,739 9W,3000,JNB,813,BOM,2997,,0,332 9W,3000,KTM,3125,BOM,2997,,0,73H 739 9W,3000,KTM,3125,DEL,3093,,0,73H 9W,3000,KUL,3304,BLR,3131,Y,0,738 9W,3000,KUL,3304,BOM,2997,Y,0,772 9W,3000,KUL,3304,DEL,3093,Y,0,333 738 9W,3000,KUL,3304,HYD,\N,Y,0,738 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A3,96,KIT,1454,ATH,3941,,0,DH4 A3,96,KLX,1456,ARN,737,,0,319 A3,96,KLX,1456,DUS,345,,0,319 A3,96,KLX,1456,MUC,346,,0,319 A3,96,KSJ,1461,AOK,1459,,0,DH8 A3,96,KSJ,1461,JSH,1480,,0,DH8 A3,96,KVA,1462,ATH,3941,,0,DH4 A3,96,KZS,4196,RHO,1472,,0,DH8 A3,96,LCA,1197,ATH,3941,,0,320 A3,96,LCA,1197,SKG,1486,,0,320 A3,96,LED,2948,ATH,3941,,0,320 A3,96,LED,2948,HER,1452,,0,320 A3,96,LED,2948,RHO,1472,,0,320 A3,96,LED,2948,SKG,1486,,0,320 A3,96,LHR,507,ATH,3941,,0,321 320 A3,96,LRS,1464,ATH,3941,,0,DH8 A3,96,LRS,1464,JKL,4192,,0,DH8 A3,96,LRS,1464,JTY,4190,,0,DH8 A3,96,LXS,1465,ATH,3941,,0,DH4 A3,96,LYS,1335,ATH,3941,,0,320 A3,96,MAD,1229,ATH,3941,,0,320 A3,96,MAN,478,ATH,3941,,0,320 A3,96,MJT,1469,ATH,3941,,0,320 DH4 A3,96,MJT,1469,SKG,1486,,0,320 A3,96,MLO,4193,ATH,3941,,0,DH8 A3,96,MRS,1353,ATH,3941,,0,320 A3,96,MRS,1353,HER,1452,,0,320 A3,96,MUC,346,ATH,3941,,0,320 A3,96,MUC,346,HER,1452,,0,320 A3,96,MUC,346,KLX,1456,,0,319 A3,96,MUC,346,SKG,1486,,0,320 A3,96,MXP,1524,ATH,3941,,0,320 A3,96,NTE,1418,ATH,3941,,0,320 A3,96,NUE,347,SKG,1486,,0,320 A3,96,OSL,644,ATH,3941,Y,0,73W 73G A3,96,OTP,1657,ATH,3941,,0,320 DH4 A3,96,PAS,4195,ATH,3941,,0,DH8 A3,96,PHL,3752,ATH,3941,Y,0,332 A3,96,PRG,1587,ATH,3941,,0,320 A3,96,RHO,1472,AOK,1459,,0,DH8 A3,96,RHO,1472,ATH,3941,,0,320 DH4 A3,96,RHO,1472,CDG,1382,,0,320 A3,96,RHO,1472,DME,4029,,0,320 A3,96,RHO,1472,HER,1452,,0,320 A3,96,RHO,1472,KGS,1458,,0,DH8 A3,96,RHO,1472,KZS,4196,,0,DH8 A3,96,RHO,1472,LED,2948,,0,320 A3,96,RHO,1472,SKG,1486,,0,320 A3,96,SKG,1486,ARN,737,Y,0,736 A3,96,SKG,1486,ATH,3941,,0,320 321 DH4 A3,96,SKG,1486,CDG,1382,,0,320 A3,96,SKG,1486,CHQ,1474,,0,320 A3,96,SKG,1486,CPH,609,Y,0,320 A3,96,SKG,1486,DME,4029,,0,320 A3,96,SKG,1486,DUS,345,,0,321 A3,96,SKG,1486,FRA,340,,0,321 A3,96,SKG,1486,HAJ,352,,0,320 A3,96,SKG,1486,HER,1452,,0,320 A3,96,SKG,1486,LCA,1197,,0,320 A3,96,SKG,1486,LED,2948,,0,320 A3,96,SKG,1486,MJT,1469,,0,320 A3,96,SKG,1486,MUC,346,,0,320 A3,96,SKG,1486,NUE,347,,0,320 A3,96,SKG,1486,RHO,1472,,0,320 A3,96,SKG,1486,STR,350,,0,320 A3,96,SKU,1482,ATH,3941,,0,DH4 A3,96,SMI,1476,ATH,3941,,0,DH4 A3,96,SOF,1194,ATH,3941,,0,DH4 A3,96,STR,350,SKG,1486,,0,320 A3,96,TBS,3973,ATH,3941,,0,320 A3,96,TIA,1190,ATH,3941,,0,DH4 A3,96,TLV,1590,ATH,3941,,0,320 A3,96,TLV,1590,HER,1452,,0,320 A3,96,TXL,351,ATH,3941,,0,320 A3,96,TXL,351,HER,1452,,0,320 A3,96,VIE,1613,ATH,3941,,0,320 A3,96,VIE,1613,HER,1452,,0,320 A3,96,WAW,679,ATH,3941,,0,320 A3,96,ZRH,1678,LIS,1638,,0,320 A3,96,ZTH,1488,ATH,3941,,0,DH4 A4,4550,BYC,2772,SRZ,4247,,0,SWM A4,4550,BYC,2772,TJA,2768,,0,SWM A4,4550,CBB,2759,TDD,2769,,0,SWM A4,4550,CIJ,2761,TDD,2769,,0,SWM A4,4550,GYA,6056,TDD,2769,,0,SWM A4,4550,LPB,2762,POI,2764,,0,SWM A4,4550,LPB,2762,SRZ,4247,,0,SWM A4,4550,LPB,2762,TDD,2769,,0,SWM A4,4550,ORU,\N,CBB,2759,,0,SWM A4,4550,ORU,\N,SRZ,4247,,0,SWM A4,4550,POI,2764,LPB,2762,,0,SWM A4,4550,RIB,6058,TDD,2769,,0,SWM A4,4550,SRZ,4247,BYC,2772,,0,SWM A4,4550,SRZ,4247,LPB,2762,,0,SWM A4,4550,SRZ,4247,ORU,\N,,0,SWM A4,4550,SRZ,4247,TDD,2769,,0,SWM A4,4550,TDD,2769,CBB,2759,,0,SWM A4,4550,TDD,2769,CIJ,2761,,0,SWM A4,4550,TDD,2769,GYA,6056,,0,SWM A4,4550,TDD,2769,LPB,2762,,0,SWM A4,4550,TDD,2769,RIB,6058,,0,SWM A4,4550,TDD,2769,SRZ,4247,,0,SWM A4,4550,TJA,2768,BYC,2772,,0,SWM A5,1203,AGF,1262,DCM,1285,,0,AT5 A5,1203,AGF,1262,ORY,1386,,0,AT5 A5,1203,AJA,1324,BVE,1278,,0,AT5 A5,1203,AJA,1324,DCM,1285,,0,AT5 A5,1203,AJA,1324,PIS,1268,,0,AT5 A5,1203,AMS,580,CFE,1330,,0,ER4 A5,1203,AMS,580,SXB,1435,,0,ER4 CR7 E70 A5,1203,AUR,1344,ORY,1386,,0,AT5 A5,1203,BES,1403,LYS,1335,,0,CR7 CRK ER4 A5,1203,BES,1403,NCE,1354,,0,CR7 A5,1203,BIA,1321,LIL,1399,,0,E70 A5,1203,BIQ,1280,GVA,1665,,0,CR7 A5,1203,BIQ,1280,LIL,1399,,0,ER4 A5,1203,BIQ,1280,LYS,1335,,0,CR7 ER4 A5,1203,BIQ,1280,NCE,1354,,0,CR7 A5,1203,BLQ,1538,LYS,1335,,0,ER4 AT5 A5,1203,BOD,1264,FCO,1555,,0,E70 E90 CR7 A5,1203,BOD,1264,LIL,1399,,0,E70 CR7 E90 A5,1203,BOD,1264,LYS,1335,,0,E90 E70 A5,1203,BOD,1264,NCE,1354,,0,CR7 A5,1203,BOD,1264,NTE,1418,,0,ER4 A5,1203,BOD,1264,SXB,1435,,0,E70 ER4 A5,1203,BRU,302,LYS,1335,,0,ER4 A5,1203,BRU,302,NTE,1418,,0,ER4 A5,1203,BVE,1278,AJA,1324,,0,AT5 A5,1203,BVE,1278,ORY,1386,,0,AT5 A5,1203,CFE,1330,AMS,580,,0,ER4 A5,1203,CFE,1330,LYS,1335,,0,ER4 A5,1203,CFE,1330,NCE,1354,,0,ER4 A5,1203,CFR,1412,LYS,1335,,0,CR7 A5,1203,CFR,1412,NCE,1354,,0,CR7 A5,1203,CFR,1412,ORY,1386,,0,BEH A5,1203,CLY,1322,NTE,1418,,0,E70 A5,1203,DCM,1285,AGF,1262,,0,AT5 A5,1203,DCM,1285,AJA,1324,,0,AT5 A5,1203,DCM,1285,ORY,1386,,0,AT5 A5,1203,DUS,345,NTE,1418,,0,ER4 A5,1203,ETZ,1320,LYS,1335,,0,AT7 ER4 CRJ A5,1203,ETZ,1320,NCE,1354,,0,ER4 CRJ CR7 A5,1203,FCO,1555,BOD,1264,,0,E70 E90 CR7 A5,1203,FCO,1555,LYS,1335,,0,CRK A5,1203,FCO,1555,SXB,1435,,0,ER4 CR7 A5,1203,FLR,1563,LYS,1335,,0,AT5 A5,1203,FSC,1323,LIL,1399,,0,CRK A5,1203,FSC,1323,NTE,1418,,0,CRK A5,1203,GOT,687,LYS,1335,,0,ER4 A5,1203,GVA,1665,BIQ,1280,,0,CR7 A5,1203,LAI,1416,ORY,1386,,0,AT5 A5,1203,LDE,1276,ORY,1386,,0,CR7 A5,1203,LIL,1399,BIA,1321,,0,E70 A5,1203,LIL,1399,BIQ,1280,,0,ER4 A5,1203,LIL,1399,BOD,1264,,0,E70 CR7 E90 A5,1203,LIL,1399,FSC,1323,,0,CRK A5,1203,LIL,1399,LYS,1335,,0,ER4 CRJ A5,1203,LIL,1399,MPL,1359,,0,E70 A5,1203,LIL,1399,NTE,1418,,0,ER4 A5,1203,LIL,1399,SXB,1435,,0,CRJ ER4 A5,1203,LIL,1399,TLS,1273,,0,E70 A5,1203,LRH,6493,ORY,1386,,0,BEH A5,1203,LRH,6493,PIS,1268,,0,AT5 A5,1203,LRT,1409,ORY,1386,,0,CR7 A5,1203,LYS,1335,BES,1403,,0,CR7 CRK ER4 A5,1203,LYS,1335,BIQ,1280,,0,CR7 ER4 A5,1203,LYS,1335,BLQ,1538,,0,ER4 AT5 A5,1203,LYS,1335,BOD,1264,,0,E90 E70 A5,1203,LYS,1335,BRU,302,,0,ER4 A5,1203,LYS,1335,CFE,1330,,0,ER4 A5,1203,LYS,1335,CFR,1412,,0,CR7 A5,1203,LYS,1335,ETZ,1320,,0,ER4 AT7 CRJ A5,1203,LYS,1335,FCO,1555,,0,CRK A5,1203,LYS,1335,FLR,1563,,0,AT5 A5,1203,LYS,1335,GOT,687,,0,ER4 A5,1203,LYS,1335,LIL,1399,,0,CRJ ER4 A5,1203,LYS,1335,MLH,\N,,0,AT5 A5,1203,LYS,1335,MPL,1359,,0,AT5 A5,1203,LYS,1335,MRS,1353,,0,AT5 CRJ A5,1203,LYS,1335,MXP,1524,,0,CRJ ER4 A5,1203,LYS,1335,NTE,1418,,0,CRK E70 ER4 A5,1203,LYS,1335,PIS,1268,,0,AT5 A5,1203,LYS,1335,PRG,1587,,0,E90 CRK A5,1203,LYS,1335,PUF,1274,,0,AT7 ER4 CRJ CR7 A5,1203,LYS,1335,RNS,1415,,0,CRK CR7 A5,1203,LYS,1335,SXB,1435,,0,CR7 CRK A5,1203,LYS,1335,VCE,1551,,0,ER4 CRK A5,1203,MLH,\N,LYS,1335,,0,AT5 A5,1203,MPL,1359,LIL,1399,,0,E70 A5,1203,MPL,1359,LYS,1335,,0,AT5 A5,1203,MPL,1359,NTE,1418,,0,E70 CRK ER4 A5,1203,MPL,1359,SXB,1435,,0,E70 A5,1203,MRS,1353,LYS,1335,,0,AT5 CRJ A5,1203,MRS,1353,SXB,1435,,0,CR7 ER4 E70 A5,1203,MRS,1353,TLS,1273,,0,AT5 A5,1203,MXP,1524,LYS,1335,,0,ER4 CRJ A5,1203,MXP,1524,NTE,1418,,0,ER4 A5,1203,NCE,1354,BES,1403,,0,CR7 A5,1203,NCE,1354,BIQ,1280,,0,CR7 A5,1203,NCE,1354,BOD,1264,,0,CR7 A5,1203,NCE,1354,CFE,1330,,0,ER4 A5,1203,NCE,1354,CFR,1412,,0,CR7 A5,1203,NCE,1354,ETZ,1320,,0,ER4 CRJ CR7 A5,1203,NCE,1354,RNS,1415,,0,CRK CR7 A5,1203,NCE,1354,TLS,1273,,0,AT7 A5,1203,NTE,1418,BOD,1264,,0,ER4 A5,1203,NTE,1418,BRU,302,,0,ER4 A5,1203,NTE,1418,CLY,1322,,0,E70 A5,1203,NTE,1418,DUS,345,,0,ER4 A5,1203,NTE,1418,FSC,1323,,0,CRK A5,1203,NTE,1418,LIL,1399,,0,ER4 A5,1203,NTE,1418,LYS,1335,,0,CRK E70 ER4 A5,1203,NTE,1418,MPL,1359,,0,E70 CRK ER4 A5,1203,NTE,1418,MXP,1524,,0,ER4 A5,1203,NTE,1418,SXB,1435,,0,ER4 A5,1203,NTE,1418,TLS,1273,,0,CR7 A5,1203,ORY,1386,AGF,1262,,0,AT5 A5,1203,ORY,1386,AUR,1344,,0,AT5 A5,1203,ORY,1386,BVE,1278,,0,AT5 A5,1203,ORY,1386,CFR,1412,,0,BEH A5,1203,ORY,1386,DCM,1285,,0,AT5 A5,1203,ORY,1386,LAI,1416,,0,AT5 A5,1203,ORY,1386,LDE,1276,,0,CR7 A5,1203,ORY,1386,LRH,6493,,0,BEH A5,1203,ORY,1386,LRT,1409,,0,CR7 A5,1203,ORY,1386,PGF,1356,,0,CRK CR7 A5,1203,ORY,1386,RDZ,1289,,0,AT7 A5,1203,ORY,1386,UIP,1417,,0,CR7 A5,1203,PGF,1356,ORY,1386,,0,CRK CR7 A5,1203,PIS,1268,AJA,1324,,0,AT5 A5,1203,PIS,1268,LRH,6493,,0,AT5 A5,1203,PIS,1268,LYS,1335,,0,AT5 A5,1203,PRG,1587,LYS,1335,,0,E90 CRK A5,1203,PUF,1274,LYS,1335,,0,CRK AT7 ER4 CRJ CR7 A5,1203,RDZ,1289,ORY,1386,,0,AT7 A5,1203,RNS,1415,LYS,1335,,0,CRK CR7 A5,1203,RNS,1415,NCE,1354,,0,CRK CR7 A5,1203,RNS,1415,TLS,1273,,0,CRJ CR7 A5,1203,SXB,1435,AMS,580,,0,ER4 CR7 E70 A5,1203,SXB,1435,BOD,1264,,0,E70 ER4 A5,1203,SXB,1435,FCO,1555,,0,ER4 CR7 A5,1203,SXB,1435,LIL,1399,,0,ER4 CRJ A5,1203,SXB,1435,LYS,1335,,0,CR7 CRK A5,1203,SXB,1435,MPL,1359,,0,E70 A5,1203,SXB,1435,MRS,1353,,0,CR7 ER4 E70 A5,1203,SXB,1435,NTE,1418,,0,ER4 A5,1203,TLS,1273,LIL,1399,,0,E70 A5,1203,TLS,1273,MRS,1353,,0,AT5 A5,1203,TLS,1273,NCE,1354,,0,AT7 A5,1203,TLS,1273,NTE,1418,,0,CR7 A5,1203,TLS,1273,RNS,1415,,0,CRJ CR7 A5,1203,UIP,1417,ORY,1386,,0,CR7 A5,1203,VCE,1551,LYS,1335,,0,ER4 CRK A8,1392,EBB,1187,KSE,\N,,0,CNA A8,1392,EBB,1187,PAF,7450,,0,CNA A8,1392,KSE,\N,EBB,1187,,0,CNA A8,1392,PAF,7450,EBB,1187,,0,CNA A9,2538,AMS,580,TBS,3973,,0,735 A9,2538,BUS,3971,DME,4029,,0,CRJ A9,2538,BUS,3971,TBS,3973,,0,CRJ A9,2538,CDG,1382,TBS,3973,,0,735 A9,2538,DME,4029,BUS,3971,,0,CRJ A9,2538,KUT,3972,TBS,3973,,0,CRJ A9,2538,RIX,3953,TBS,3973,,0,733 A9,2538,TBS,3973,AMS,580,,0,735 A9,2538,TBS,3973,BUS,3971,,0,CRJ A9,2538,TBS,3973,CDG,1382,,0,735 A9,2538,TBS,3973,RIX,3953,,0,733 A9,2538,TBS,3973,TLV,1590,,0,737 A9,2538,TBS,3973,VIE,1613,,0,735 A9,2538,TBS,3973,VKO,2988,,0,737 A9,2538,TLV,1590,TBS,3973,,0,737 A9,2538,VIE,1613,TBS,3973,,0,735 A9,2538,VKO,2988,KUT,3972,,0,CRJ A9,2538,VKO,2988,TBS,3973,,0,737 AA,24,ABE,4355,CLT,3876,Y,0,CR9 CR7 CRJ AA,24,ABE,4355,PHL,3752,,0,DH3 AA,24,ABI,3718,DFW,3670,Y,0,ERD ER4 CRJ AA,24,ABQ,4019,DFW,3670,,0,M83 M80 AA,24,ABQ,4019,LAX,3484,Y,0,CR7 CRJ AA,24,ABQ,4019,ORD,3830,Y,0,E75 AA,24,ABQ,4019,PHX,3462,Y,0,CRJ CR9 AA,24,ABZ,532,LHR,507,Y,0,321 320 319 AA,24,ACC,248,LHR,507,Y,0,744 AA,24,ACT,3700,DFW,3670,Y,0,ER4 ERD AA,24,ADL,3341,BNE,3320,Y,0,737 AA,24,ADL,3341,SYD,3361,Y,0,737 AA,24,AEX,3852,DFW,3670,Y,0,ER4 CRJ ERD AA,24,AGP,1230,LHR,507,Y,0,320 AA,24,AGS,3658,CLT,3876,,0,DH8 CRJ AA,24,AGS,3658,DCA,3520,Y,0,CRJ AA,24,AGU,1785,DFW,3670,Y,0,ER4 AA,24,AKL,2006,BNE,3320,Y,0,737 AA,24,AKL,2006,PPT,4075,Y,0,340 AA,24,AKL,2006,SYD,3361,Y,0,737 AA,24,ALB,3864,CLT,3876,,0,319 AA,24,ALB,3864,DCA,3520,Y,0,E75 CRJ E70 AA,24,ALB,3864,PHL,3752,,0,DH3 AA,24,ALO,5718,ORD,3830,Y,0,ERD AA,24,AMA,3840,DFW,3670,Y,0,ER4 CRJ ERD AA,24,AMM,2170,JFK,3797,Y,0,340 330 AA,24,AMM,2170,ORD,3830,Y,0,340 AA,24,AMM,2170,YUL,146,Y,0,330 AA,24,AMS,580,LHR,507,Y,0,320 767 321 319 AA,24,AMS,580,PHL,3752,,0,757 AA,24,ANC,3774,LAX,3484,Y,0,737 AA,24,ANC,3774,PHX,3462,,0,319 320 AA,24,ANU,2874,CLT,3876,,0,319 AA,24,ANU,2874,JFK,3797,,0,738 AA,24,ANU,2874,MIA,3576,,0,738 AA,24,AQP,2802,LIM,2789,Y,0,319 AA,24,ARN,737,LHR,507,Y,0,320 321 319 AA,24,ART,3838,ORD,3830,Y,0,ERD AA,24,ART,3838,PHL,3752,Y,0,CRJ AA,24,ASP,3319,SYD,3361,Y,0,737 AA,24,ASU,2699,MIA,3576,,0,757 AA,24,ATH,3941,LHR,507,Y,0,320 767 AA,24,ATH,3941,PHL,3752,,0,332 AA,24,ATL,3682,CLT,3876,Y,0,319 320 CR9 321 AA,24,ATL,3682,DFW,3670,,0,M80 319 M83 AA,24,ATL,3682,LHR,507,Y,0,777 AA,24,ATL,3682,MIA,3576,,0,738 AA,24,ATL,3682,ORD,3830,Y,0,CR7 E75 AA,24,ATL,3682,PHL,3752,Y,0,E75 E90 319 CRJ E70 AA,24,ATL,3682,PHX,3462,Y,0,320 321 AA,24,AUA,2895,CLT,3876,,0,757 319 320 AA,24,AUA,2895,MIA,3576,,0,738 AA,24,AUA,2895,PHL,3752,,0,320 AA,24,AUH,2179,CMB,3024,Y,0,320 AA,24,AUH,2179,DUS,345,Y,0,330 AA,24,AUH,2179,IAD,3714,Y,0,340 AA,24,AUH,2179,ISB,2223,Y,0,320 332 AA,24,AUH,2179,JFK,3797,Y,0,777 AA,24,AUH,2179,LHE,2207,Y,0,332 320 77W AA,24,AUH,2179,LHR,507,Y,0,777 AA,24,AUH,2179,MCT,2194,Y,0,777 AA,24,AUH,2179,ORD,3830,Y,0,777 AA,24,AUS,3673,CLT,3876,Y,0,CR9 AA,24,AUS,3673,DFW,3670,,0,M80 738 M83 AA,24,AUS,3673,JFK,3797,,0,738 AA,24,AUS,3673,LAX,3484,,0,738 M83 AA,24,AUS,3673,LHR,507,,0,787 AA,24,AUS,3673,MSY,3861,,0, AA,24,AUS,3673,ORD,3830,,0,M83 M80 AA,24,AUS,3673,PHL,3752,,0,319 E90 AA,24,AUS,3673,PHX,3462,,0,319 AA,24,AVL,4007,CLT,3876,,0,DH8 DH3 AA,24,AVP,4286,CLT,3876,,0,CRJ AA,24,AVP,4286,PHL,3752,,0,DH3 AA,24,AZO,4039,ORD,3830,Y,0,ER4 ERD AA,24,BAH,2057,DOH,11051,Y,0,777 AA,24,BAH,2057,LHR,507,Y,0,777 AA,24,BCN,1218,JFK,3797,,0,763 AA,24,BCN,1218,LHR,507,Y,0,320 319 321 767 AA,24,BCN,1218,MIA,3576,,0,763 AA,24,BCN,1218,PHL,3752,,0,332 AA,24,BDA,4069,JFK,3797,,0,738 AA,24,BDA,4069,MIA,3576,,0,738 AA,24,BDA,4069,PHL,3752,,0,319 AA,24,BDL,3825,CLT,3876,,0,320 321 319 AA,24,BDL,3825,DCA,3520,Y,0,E75 CRJ E70 AA,24,BDL,3825,DFW,3670,,0,738 AA,24,BDL,3825,LAX,3484,,0,738 AA,24,BDL,3825,MIA,3576,,0,738 AA,24,BDL,3825,ORD,3830,Y,0,E75 ER4 AA,24,BDL,3825,PHL,3752,,0,319 DH3 E90 AA,24,BDL,3825,PIT,3570,Y,0,ER4 AA,24,BFL,3558,PHX,3462,Y,0,CRJ CR9 AA,24,BGI,2875,MIA,3576,,0,757 AA,24,BGM,4129,PHL,3752,,0,DH3 AA,24,BGO,636,LHR,507,Y,0,319 AA,24,BGR,3463,DCA,3520,Y,0,CRJ E70 AA,24,BGR,3463,PHL,3752,Y,0,E75 CRJ AA,24,BHD,467,LHR,507,Y,0,319 AA,24,BHM,3811,CLT,3876,,0,CRJ CR7 AA,24,BHM,3811,DCA,3520,,0,CRJ AA,24,BHM,3811,DFW,3670,,0,M80 M83 AA,24,BHM,3811,MIA,3576,Y,0,ER4 AA,24,BHM,3811,PHL,3752,,0,CRJ AA,24,BJL,1050,DKR,1084,Y,0,L4T AA,24,BJX,1815,DFW,3670,,0,319 AA,24,BKK,3885,KUL,3304,,0,737 AA,24,BKK,3885,NRT,2279,,0,763 AA,24,BLQ,1538,LHR,507,Y,0,319 320 AA,24,BLR,3131,LHR,507,Y,0,777 AA,24,BMI,4037,DFW,3670,Y,0,ER4 AA,24,BMI,4037,ORD,3830,Y,0,ER4 ERD AA,24,BNA,3690,CLT,3876,,0,319 CR7 AA,24,BNA,3690,DCA,3520,,0,CRJ AA,24,BNA,3690,DFW,3670,,0,M80 738 M83 AA,24,BNA,3690,JFK,3797,Y,0,ER4 AA,24,BNA,3690,LAX,3484,,0,738 AA,24,BNA,3690,LGA,3697,Y,0,CR7 AA,24,BNA,3690,MIA,3576,,0,738 AA,24,BNA,3690,ORD,3830,Y,0,ERD ER4 CR7 E75 AA,24,BNA,3690,PHL,3752,,0,CRJ AA,24,BNE,3320,ADL,3341,Y,0,737 AA,24,BNE,3320,AKL,2006,Y,0,737 AA,24,BNE,3320,CBR,3355,Y,0,737 AA,24,BNE,3320,CNS,3322,Y,0,737 AA,24,BNE,3320,DRW,3999,Y,0,763 AA,24,BNE,3320,LAX,3484,Y,0,744 AA,24,BNE,3320,MEL,3339,Y,0,737 AA,24,BNE,3320,PER,3351,Y,0,330 AA,24,BNE,3320,SYD,3361,Y,0,744 737 AA,24,BNE,3320,TSV,3330,Y,0,737 AA,24,BOG,2709,DFW,3670,,0,319 AA,24,BOG,2709,MIA,3576,,0,757 763 AA,24,BOI,3495,PHX,3462,,0,319 AA,24,BOM,2997,LHR,507,Y,0,777 AA,24,BOS,3448,BUF,3820,Y,0,CRJ AA,24,BOS,3448,CLT,3876,,0,319 321 320 E90 AA,24,BOS,3448,CUN,1852,,0,319 AA,24,BOS,3448,DCA,3520,,0,319 E90 AA,24,BOS,3448,DFW,3670,,0,738 757 AA,24,BOS,3448,JFK,3797,,0,738 AA,24,BOS,3448,LAX,3484,,0,738 757 AA,24,BOS,3448,LGA,3697,,0,E90 319 AA,24,BOS,3448,LHR,507,Y,0,777 744 AA,24,BOS,3448,MAD,1229,,0,330 AA,24,BOS,3448,MDT,3542,,0,DH3 AA,24,BOS,3448,MIA,3576,,0,757 738 AA,24,BOS,3448,NRT,2279,,0,787 AA,24,BOS,3448,ORD,3830,,0,738 AA,24,BOS,3448,PDX,3720,Y,0,737 AA,24,BOS,3448,PHL,3752,,0,E90 319 321 320 AA,24,BOS,3448,PHX,3462,,0,320 319 321 AA,24,BOS,3448,PIT,3570,Y,0,E70 CRJ AA,24,BOS,3448,RIC,3608,Y,0,CRJ AA,24,BOS,3448,ROC,3622,Y,0,CRJ AA,24,BOS,3448,SAN,3731,Y,0,737 AA,24,BOS,3448,SEA,3577,Y,0,737 AA,24,BOS,3448,SYR,3745,,0,DH3 AA,24,BPT,3612,DFW,3670,Y,0,CRJ ERD ER4 AA,24,BRO,3738,DFW,3670,Y,0,CRJ ER4 AA,24,BRU,302,LHR,507,Y,0,319 320 321 AA,24,BRU,302,PHL,3752,,0,767 AA,24,BSB,2531,MIA,3576,,0,757 763 AA,24,BSL,1423,LHR,507,Y,0,319 320 AA,24,BTR,3846,CLT,3876,,0,CRJ AA,24,BTR,3846,DFW,3670,Y,0,CRJ ERD ER4 AA,24,BTV,3711,DCA,3520,,0,CRJ AA,24,BTV,3711,PHL,3752,,0,E90 AA,24,BUD,1489,LHR,507,Y,0,320 AA,24,BUF,3820,BOS,3448,Y,0,CRJ AA,24,BUF,3820,CLT,3876,,0,320 319 737 AA,24,BUF,3820,DCA,3520,Y,0,E70 CRJ E75 AA,24,BUF,3820,ORD,3830,Y,0,CR7 ER4 E75 AA,24,BUF,3820,PHL,3752,,0,DH3 AA,24,BUR,3644,PDX,3720,Y,0,CR7 AA,24,BUR,3644,PHX,3462,Y,0,CR9 CRJ AA,24,BUR,3644,SEA,3577,Y,0,737 AA,24,BWI,3849,CLT,3876,,0,E90 321 757 319 737 320 AA,24,BWI,3849,DFW,3670,,0,M83 M80 AA,24,BWI,3849,JFK,3797,Y,0,ER4 AA,24,BWI,3849,LHR,507,Y,0,767 AA,24,BWI,3849,MIA,3576,,0,738 AA,24,BWI,3849,ORD,3830,Y,0,E75 ER4 CR7 AA,24,BWI,3849,PHL,3752,,0,319 DH3 E90 AA,24,BWI,3849,PHX,3462,,0,319 320 AA,24,BZE,1957,CLT,3876,,0,319 AA,24,BZE,1957,DFW,3670,,0,738 AA,24,BZE,1957,MIA,3576,,0,738 AA,24,CAE,3561,CLT,3876,,0,DH8 AA,24,CAE,3561,DCA,3520,,0,CRJ AA,24,CAE,3561,DFW,3670,Y,0,ER4 AA,24,CAE,3561,PHL,3752,Y,0,CRJ AA,24,CAK,4112,CLT,3876,,0,CR7 CRJ AA,24,CAK,4112,DCA,3520,Y,0,CRJ AA,24,CAK,4112,PHL,3752,,0,CRJ AA,24,CBR,3355,BNE,3320,Y,0,737 AA,24,CBR,3355,MEL,3339,Y,0,737 AA,24,CBR,3355,SYD,3361,Y,0,737 AA,24,CCS,2851,DFW,3670,,0,738 AA,24,CCS,2851,JFK,3797,,0,757 738 AA,24,CCS,2851,MIA,3576,,0,757 763 738 AA,24,CCS,2851,SJU,2890,,0,738 AA,24,CDG,1382,CLT,3876,,0,333 AA,24,CDG,1382,DFW,3670,,0,763 777 AA,24,CDG,1382,JFK,3797,,0,763 757 AA,24,CDG,1382,KUL,3304,,0,380 AA,24,CDG,1382,LHR,507,Y,0,319 320 321 AA,24,CDG,1382,MIA,3576,,0,763 AA,24,CDG,1382,ORD,3830,,0,763 AA,24,CDG,1382,PHL,3752,,0,332 AA,24,CHA,3578,CLT,3876,,0,CRJ DH8 AA,24,CHA,3578,DCA,3520,Y,0,CRJ AA,24,CHA,3578,DFW,3670,Y,0,ER4 ERD AA,24,CHA,3578,ORD,3830,Y,0,ER4 ERD AA,24,CHC,2009,SYD,3361,Y,0,737 AA,24,CHO,4015,CLT,3876,,0,DH8 CRJ DH3 AA,24,CHO,4015,LGA,3697,Y,0,ERD AA,24,CHO,4015,ORD,3830,Y,0,CRJ AA,24,CHO,4015,PHL,3752,,0,DH3 AA,24,CHS,3806,CLT,3876,,0,319 CR7 DH8 AA,24,CHS,3806,DCA,3520,Y,0,E70 CRJ E75 AA,24,CHS,3806,DFW,3670,Y,0,ER4 ERD AA,24,CHS,3806,MIA,3576,Y,0,ER4 AA,24,CHS,3806,PHL,3752,,0,CRJ AA,24,CID,4043,DFW,3670,Y,0,ER4 CRJ AA,24,CID,4043,ORD,3830,Y,0,ER4 AA,24,CLE,3486,CLT,3876,,0,319 AA,24,CLE,3486,DFW,3670,,0,319 AA,24,CLE,3486,JFK,3797,Y,0,ER4 AA,24,CLE,3486,MIA,3576,Y,0,ER4 AA,24,CLE,3486,ORD,3830,Y,0,CR7 ER4 ERD AA,24,CLE,3486,PHL,3752,Y,0,E75 CRJ E70 CR9 AA,24,CLL,3715,DFW,3670,Y,0,ER4 ERD CRJ AA,24,CLO,2715,MIA,3576,,0,738 AA,24,CLT,3876,ABE,4355,Y,0,CR7 CRJ CR9 AA,24,CLT,3876,AGS,3658,,0,DH8 AA,24,CLT,3876,ALB,3864,,0,319 AA,24,CLT,3876,ANU,2874,,0,319 AA,24,CLT,3876,ATL,3682,Y,0,320 CR9 321 319 AA,24,CLT,3876,AUA,2895,,0,757 319 320 AA,24,CLT,3876,AUS,3673,,0,CR9 AA,24,CLT,3876,AVL,4007,,0,DH8 DH3 AA,24,CLT,3876,AVP,4286,Y,0,CRJ CR9 AA,24,CLT,3876,BDL,3825,,0,319 321 320 AA,24,CLT,3876,BHM,3811,,0,CRJ AA,24,CLT,3876,BNA,3690,,0,319 CR7 AA,24,CLT,3876,BOS,3448,,0,321 319 320 AA,24,CLT,3876,BTR,3846,,0,CRJ AA,24,CLT,3876,BUF,3820,,0,319 320 737 AA,24,CLT,3876,BWI,3849,,0,319 737 321 757 320 E90 AA,24,CLT,3876,BZE,1957,,0,319 AA,24,CLT,3876,CAE,3561,,0,DH8 AA,24,CLT,3876,CAK,4112,,0,CRJ CR7 AA,24,CLT,3876,CDG,1382,,0,333 AA,24,CLT,3876,CHA,3578,,0,DH8 CRJ AA,24,CLT,3876,CHO,4015,,0,DH3 DH8 AA,24,CLT,3876,CHS,3806,,0,DH8 319 CR7 AA,24,CLT,3876,CLE,3486,,0,319 AA,24,CLT,3876,CMH,3759,Y,0,CR9 E75 CR7 CRJ E70 AA,24,CLT,3876,CRW,4285,,0,DH3 DH8 AA,24,CLT,3876,CUN,1852,,0,321 320 737 AA,24,CLT,3876,CVG,3488,,0,CRJ CR9 AA,24,CLT,3876,CZM,1800,,0,319 AA,24,CLT,3876,DAB,3950,,0,CR7 AA,24,CLT,3876,DAY,3627,,0,CRJ AA,24,CLT,3876,DCA,3520,,0,319 320 CRJ E90 AA,24,CLT,3876,DEN,3751,,0,321 320 AA,24,CLT,3876,DFW,3670,,0,M80 321 319 M83 320 737 757 AA,24,CLT,3876,DSM,3729,Y,0,CR9 AA,24,CLT,3876,DTW,3645,,0,319 321 320 AA,24,CLT,3876,DUB,599,,0,757 AA,24,CLT,3876,EWN,3730,,0,DH8 CRJ DH3 AA,24,CLT,3876,EWR,3494,,0,321 320 737 319 AA,24,CLT,3876,FAY,5738,,0,DH8 AA,24,CLT,3876,FCO,1555,,0,333 AA,24,CLT,3876,FLL,3533,,0,320 737 321 319 AA,24,CLT,3876,FLO,3879,,0,DH3 DH8 AA,24,CLT,3876,FPO,1948,Y,0,CR7 AA,24,CLT,3876,FRA,340,,0,333 332 AA,24,CLT,3876,GCM,1926,,0,320 321 319 AA,24,CLT,3876,GNV,3472,Y,0,CRJ AA,24,CLT,3876,GPT,4038,Y,0,CR7 CRJ AA,24,CLT,3876,GRU,2564,,0,332 AA,24,CLT,3876,GSO,4008,,0,DH8 CR9 AA,24,CLT,3876,GSP,4034,,0,DH3 DH8 AA,24,CLT,3876,HHH,8314,,0,DH3 AA,24,CLT,3876,HPN,3589,Y,0,CRJ AA,24,CLT,3876,HSV,4113,,0,CR7 AA,24,CLT,3876,HTS,5742,,0,DH8 DH3 AA,24,CLT,3876,IAD,3714,,0,CR7 AA,24,CLT,3876,IAH,3550,,0,737 319 321 320 AA,24,CLT,3876,ILM,3845,,0,319 AA,24,CLT,3876,IND,3585,,0,319 AA,24,CLT,3876,JAN,3580,Y,0,CRJ CR7 AA,24,CLT,3876,JAX,3712,,0,319 737 AA,24,CLT,3876,JFK,3797,,0,321 319 AA,24,CLT,3876,LAS,3877,,0,321 AA,24,CLT,3876,LAX,3484,,0,321 AA,24,CLT,3876,LEX,4017,,0,CR7 AA,24,CLT,3876,LGA,3697,,0,321 320 319 AA,24,CLT,3876,LHR,507,,0,333 AA,24,CLT,3876,LIR,1881,,0,320 AA,24,CLT,3876,LIT,3660,Y,0,CR9 CRJ AA,24,CLT,3876,LYH,5753,,0,DH8 AA,24,CLT,3876,MBJ,1780,,0,319 321 320 AA,24,CLT,3876,MCI,3458,,0,319 AA,24,CLT,3876,MCO,3878,,0,321 767 757 319 AA,24,CLT,3876,MDT,3542,,0,CR7 319 AA,24,CLT,3876,MEM,3473,,0,319 AA,24,CLT,3876,MEX,1824,,0,319 AA,24,CLT,3876,MGM,4115,Y,0,CRJ AA,24,CLT,3876,MHT,4011,Y,0,CR9 AA,24,CLT,3876,MIA,3576,,0,320 321 319 737 AA,24,CLT,3876,MKE,3717,Y,0,CR7 CRJ CR9 AA,24,CLT,3876,MLB,3671,,0,CRJ AA,24,CLT,3876,MOB,3782,,0,CRJ AA,24,CLT,3876,MSP,3858,,0,319 321 320 AA,24,CLT,3876,MSY,3861,Y,0,319 320 E75 CR9 AA,24,CLT,3876,MYR,3515,,0,DH8 AA,24,CLT,3876,NAS,1953,,0,319 737 AA,24,CLT,3876,OAJ,4386,,0,DH8 CR7 CRJ AA,24,CLT,3876,OMA,3454,Y,0,CR9 AA,24,CLT,3876,ORD,3830,,0,321 320 CR9 E90 AA,24,CLT,3876,ORF,3611,,0,319 AA,24,CLT,3876,PBI,3722,,0,320 319 737 AA,24,CLT,3876,PDX,3720,,0,320 AA,24,CLT,3876,PGV,6959,,0,DH8 AA,24,CLT,3876,PHF,3633,,0,CR7 AA,24,CLT,3876,PHL,3752,,0,767 E90 319 320 332 757 321 737 AA,24,CLT,3876,PHX,3462,,0,757 321 AA,24,CLT,3876,PIT,3570,,0,319 737 320 321 AA,24,CLT,3876,PLS,1754,,0,321 AA,24,CLT,3876,PNS,3564,Y,0,CR9 AA,24,CLT,3876,PUJ,1760,,0,319 757 321 320 AA,24,CLT,3876,PVD,3641,,0,321 320 319 AA,24,CLT,3876,PWM,3862,,0,319 AA,24,CLT,3876,RDU,3626,,0,320 737 319 321 E90 AA,24,CLT,3876,RIC,3608,,0,319 CR7 AA,24,CLT,3876,ROA,4016,,0,DH8 DH3 AA,24,CLT,3876,ROC,3622,,0,319 AA,24,CLT,3876,RSW,3793,,0,320 321 319 737 AA,24,CLT,3876,SAN,3731,,0,320 321 AA,24,CLT,3876,SAT,3621,,0,319 AA,24,CLT,3876,SAV,3613,,0,CR9 AA,24,CLT,3876,SBY,3642,,0,DH8 AA,24,CLT,3876,SDF,4014,,0,CR7 CR9 CRJ AA,24,CLT,3876,SEA,3577,,0,320 321 319 AA,24,CLT,3876,SFO,3469,,0,321 AA,24,CLT,3876,SJD,1840,,0,320 AA,24,CLT,3876,SJO,1885,,0,319 AA,24,CLT,3876,SJU,2890,,0,321 AA,24,CLT,3876,SLC,3536,,0,320 AA,24,CLT,3876,SMF,3817,,0,321 AA,24,CLT,3876,SRQ,4067,Y,0,CR9 E75 AA,24,CLT,3876,STL,3678,,0,319 AA,24,CLT,3876,STT,2883,,0,757 767 AA,24,CLT,3876,SXM,2899,,0,757 319 AA,24,CLT,3876,SYR,3745,,0,CR9 319 320 AA,24,CLT,3876,TLH,3698,Y,0,CRJ CR7 AA,24,CLT,3876,TPA,3646,,0,320 321 319 737 AA,24,CLT,3876,TRI,4116,,0,DH8 DH3 AA,24,CLT,3876,TYS,3676,,0,CR7 AA,24,CLT,3876,UVF,2894,,0,320 319 AA,24,CLT,3876,VPS,3873,,0,CRJ AA,24,CLT,3876,XNA,4356,,0,CR7 AA,24,CLT,3876,YOW,100,Y,0,CRJ AA,24,CLT,3876,YUL,146,Y,0,CRJ AA,24,CLT,3876,YYZ,193,Y,0,E75 CRJ AA,24,CMB,3024,AUH,2179,Y,0,320 AA,24,CMH,3759,CLT,3876,,0,CR9 AA,24,CMH,3759,DCA,3520,Y,0,CRJ E75 E70 AA,24,CMH,3759,DFW,3670,,0,M83 M80 AA,24,CMH,3759,JFK,3797,Y,0,CR7 ER4 AA,24,CMH,3759,LAX,3484,,0,738 AA,24,CMH,3759,LGA,3697,Y,0,CR7 ERD AA,24,CMH,3759,MIA,3576,Y,0,ER4 AA,24,CMH,3759,ORD,3830,Y,0,ER4 CR7 ERD AA,24,CMH,3759,PHL,3752,Y,0,E70 CRJ E75 AA,24,CMH,3759,PHX,3462,,0,319 320 AA,24,CMI,4049,DFW,3670,Y,0,ER4 AA,24,CMI,4049,ORD,3830,Y,0,ER4 ERD AA,24,CNF,2537,MIA,3576,,0,763 AA,24,CNS,3322,BNE,3320,Y,0,737 AA,24,COS,3819,DFW,3670,,0,M80 M83 AA,24,COU,3719,DFW,3670,Y,0,ER4 ERD AA,24,COU,3719,ORD,3830,Y,0,ER4 ERD AA,24,CPH,609,LHR,507,Y,0,321 320 319 AA,24,CPT,797,LHR,507,Y,0,744 777 AA,24,CRP,3744,DFW,3670,,0,319 AA,24,CTS,2287,NRT,2279,,0,773 AA,24,CUN,1852,BOS,3448,,0,319 AA,24,CUN,1852,CLT,3876,,0,321 320 737 AA,24,CUN,1852,DFW,3670,,0,738 757 AA,24,CUN,1852,JFK,3797,,0,738 AA,24,CUN,1852,MIA,3576,,0,738 757 AA,24,CUN,1852,ORD,3830,,0,738 AA,24,CUN,1852,PHL,3752,,0,757 332 321 319 AA,24,CUN,1852,PHX,3462,,0,757 320 321 AA,24,CUR,2897,MIA,3576,,0,738 AA,24,CUU,1797,DFW,3670,Y,0,ER4 ERD AA,24,CVG,3488,CLT,3876,,0,CRJ AA,24,CVG,3488,DCA,3520,Y,0,CRJ AA,24,CVG,3488,DFW,3670,Y,0,ER4 ERD AA,24,CVG,3488,JFK,3797,Y,0,ER4 AA,24,CVG,3488,MIA,3576,Y,0,ER4 AA,24,CVG,3488,ORD,3830,Y,0,ER4 AA,24,CVG,3488,PHL,3752,Y,0,E70 CRJ E75 AA,24,CWA,4045,ORD,3830,Y,0,ER4 ERD AA,24,CWB,2545,POA,2599,,0,763 AA,24,CZM,1800,CLT,3876,,0,319 AA,24,CZM,1800,DFW,3670,,0,738 AA,24,CZM,1800,MIA,3576,,0,738 AA,24,DAB,3950,CLT,3876,,0,CR7 AA,24,DAY,3627,CLT,3876,,0,CRJ AA,24,DAY,3627,DCA,3520,Y,0,CRJ AA,24,DAY,3627,DFW,3670,,0,M83 319 M80 AA,24,DAY,3627,LGA,3697,Y,0,ERD AA,24,DAY,3627,ORD,3830,Y,0,ER4 AA,24,DAY,3627,PHL,3752,Y,0,CRJ AA,24,DBQ,4388,ORD,3830,Y,0,ER4 ERD AA,24,DCA,3520,AGS,3658,Y,0,CRJ AA,24,DCA,3520,ALB,3864,Y,0,E70 CRJ E75 AA,24,DCA,3520,BDL,3825,Y,0,CRJ E75 E70 AA,24,DCA,3520,BGR,3463,Y,0,CRJ E70 AA,24,DCA,3520,BHM,3811,Y,0,CRJ AA,24,DCA,3520,BNA,3690,Y,0,ERD CRJ E70 AA,24,DCA,3520,BOS,3448,,0,319 E90 AA,24,DCA,3520,BTV,3711,,0,CRJ AA,24,DCA,3520,BUF,3820,Y,0,CRJ E75 E70 AA,24,DCA,3520,CAE,3561,Y,0,CRJ AA,24,DCA,3520,CAK,4112,Y,0,CRJ AA,24,DCA,3520,CHA,3578,Y,0,CRJ AA,24,DCA,3520,CHS,3806,Y,0,E70 CRJ E75 AA,24,DCA,3520,CLT,3876,,0,319 320 AA,24,DCA,3520,CMH,3759,Y,0,CRJ E75 E70 AA,24,DCA,3520,CRW,4285,Y,0,DH3 AA,24,DCA,3520,CVG,3488,Y,0,CRJ AA,24,DCA,3520,DAY,3627,,0,CRJ AA,24,DCA,3520,DFW,3670,,0,738 M80 AA,24,DCA,3520,DSM,3729,Y,0,E70 CRJ AA,24,DCA,3520,DTW,3645,Y,0,CRJ E70 E75 AA,24,DCA,3520,FAY,5738,,0,DH3 AA,24,DCA,3520,FLL,3533,,0,319 AA,24,DCA,3520,GSO,4008,Y,0,CRJ E70 E75 AA,24,DCA,3520,GSP,4034,Y,0,CRJ AA,24,DCA,3520,HHH,8314,,0,DH3 AA,24,DCA,3520,HPN,3589,Y,0,DH3 CRJ AA,24,DCA,3520,HSV,4113,Y,0,CRJ E70 AA,24,DCA,3520,ILM,3845,Y,0,CRJ AA,24,DCA,3520,IND,3585,Y,0,E70 E75 CRJ AA,24,DCA,3520,ISP,3857,Y,0,CRJ AA,24,DCA,3520,JAN,3580,Y,0,CRJ AA,24,DCA,3520,JAX,3712,Y,0,CRJ E75 E70 AA,24,DCA,3520,JFK,3797,,0,738 AA,24,DCA,3520,LAS,3877,,0,319 AA,24,DCA,3520,LAX,3484,,0,738 AA,24,DCA,3520,LGA,3697,,0,319 E90 AA,24,DCA,3520,LIT,3660,Y,0,E70 AA,24,DCA,3520,MCI,3458,Y,0,E70 E75 AA,24,DCA,3520,MCO,3878,,0,320 319 AA,24,DCA,3520,MEM,3473,Y,0,CRJ AA,24,DCA,3520,MHT,4011,Y,0,CRJ E75 E70 AA,24,DCA,3520,MIA,3576,,0,738 AA,24,DCA,3520,MSP,3858,Y,0,E70 E75 AA,24,DCA,3520,MSY,3861,Y,0,E70 E75 AA,24,DCA,3520,MYR,3515,Y,0,CRJ AA,24,DCA,3520,NAS,1953,,0,319 AA,24,DCA,3520,OAJ,4386,Y,0,CRJ AA,24,DCA,3520,OMA,3454,Y,0,E70 AA,24,DCA,3520,ORD,3830,,0,738 M83 M80 AA,24,DCA,3520,ORF,3611,,0,DH3 AA,24,DCA,3520,PBI,3722,Y,0,E75 E70 AA,24,DCA,3520,PDX,3720,Y,0,737 AA,24,DCA,3520,PHL,3752,,0,319 320 DH3 AA,24,DCA,3520,PHX,3462,,0,320 757 AA,24,DCA,3520,PIT,3570,Y,0,CRJ E75 AA,24,DCA,3520,PNS,3564,Y,0,CRJ AA,24,DCA,3520,PVD,3641,Y,0,CRJ E75 E70 AA,24,DCA,3520,PWM,3862,Y,0,E75 CRJ E70 AA,24,DCA,3520,RDU,3626,Y,0,ERD CRJ AA,24,DCA,3520,ROC,3622,Y,0,E70 CRJ AA,24,DCA,3520,RSW,3793,Y,0,E75 E70 AA,24,DCA,3520,SAN,3731,,0,319 AA,24,DCA,3520,SAV,3613,Y,0,CRJ AA,24,DCA,3520,SDF,4014,Y,0,CRJ E75 AA,24,DCA,3520,SRQ,4067,Y,0,CRJ AA,24,DCA,3520,STL,3678,Y,0,CR7 AA,24,DCA,3520,SYR,3745,Y,0,E70 CRJ E75 AA,24,DCA,3520,TLH,3698,Y,0,CRJ AA,24,DCA,3520,TPA,3646,,0,319 AA,24,DCA,3520,TYS,3676,Y,0,CRJ AA,24,DCA,3520,VPS,3873,Y,0,CRJ AA,24,DCA,3520,YHZ,73,Y,0,CRJ AA,24,DCA,3520,YUL,146,Y,0,CRJ AA,24,DCA,3520,YYZ,193,Y,0,CRJ AA,24,DEL,3093,LHR,507,Y,0,777 AA,24,DEN,3751,CLT,3876,,0,321 320 AA,24,DEN,3751,DFW,3670,,0,738 M83 M80 AA,24,DEN,3751,LAX,3484,Y,0,CR7 AA,24,DEN,3751,LHR,507,Y,0,777 AA,24,DEN,3751,MIA,3576,,0,738 AA,24,DEN,3751,ORD,3830,,0,M80 M83 AA,24,DEN,3751,PHL,3752,,0,320 321 AA,24,DEN,3751,PHX,3462,,0,320 321 AA,24,DEN,3751,SEA,3577,Y,0,737 AA,24,DFW,3670,ABI,3718,Y,0,ERD CRJ ER4 AA,24,DFW,3670,ABQ,4019,,0,M80 M83 AA,24,DFW,3670,ACT,3700,Y,0,ER4 ERD AA,24,DFW,3670,AEX,3852,Y,0,CRJ ER4 ERD AA,24,DFW,3670,AGU,1785,Y,0,ER4 AA,24,DFW,3670,AMA,3840,Y,0,ER4 CRJ ERD AA,24,DFW,3670,ATL,3682,,0,M83 M80 319 AA,24,DFW,3670,AUS,3673,,0,M80 M83 738 AA,24,DFW,3670,BDL,3825,,0,738 AA,24,DFW,3670,BHM,3811,,0,M80 M83 AA,24,DFW,3670,BJX,1815,,0,319 AA,24,DFW,3670,BMI,4037,Y,0,ER4 AA,24,DFW,3670,BNA,3690,,0,738 M80 M83 AA,24,DFW,3670,BNE,3320,Y,0,744 AA,24,DFW,3670,BOG,2709,,0,319 AA,24,DFW,3670,BOS,3448,,0,738 757 AA,24,DFW,3670,BPT,3612,Y,0,ERD ER4 CRJ AA,24,DFW,3670,BRO,3738,Y,0,CRJ ER4 AA,24,DFW,3670,BTR,3846,Y,0,ERD ER4 CRJ AA,24,DFW,3670,BWI,3849,,0,M83 M80 AA,24,DFW,3670,BZE,1957,,0,738 AA,24,DFW,3670,CAE,3561,Y,0,ER4 AA,24,DFW,3670,CCS,2851,,0,738 AA,24,DFW,3670,CDG,1382,,0,763 777 AA,24,DFW,3670,CHA,3578,Y,0,ERD ER4 AA,24,DFW,3670,CHS,3806,Y,0,ER4 ERD AA,24,DFW,3670,CID,4043,Y,0,ER4 CRJ AA,24,DFW,3670,CLE,3486,,0,319 AA,24,DFW,3670,CLL,3715,Y,0,ER4 ERD CRJ AA,24,DFW,3670,CLT,3876,,0,321 319 M80 M83 320 737 757 AA,24,DFW,3670,CMH,3759,,0,M83 M80 AA,24,DFW,3670,CMI,4049,Y,0,ER4 AA,24,DFW,3670,COS,3819,,0,M80 M83 AA,24,DFW,3670,COU,3719,Y,0,ER4 ERD AA,24,DFW,3670,CRP,3744,,0,319 AA,24,DFW,3670,CRW,4285,Y,0,CRJ AA,24,DFW,3670,CUN,1852,,0,738 757 AA,24,DFW,3670,CUU,1797,Y,0,ERD ER4 AA,24,DFW,3670,CVG,3488,Y,0,ERD ER4 AA,24,DFW,3670,CZM,1800,,0,738 AA,24,DFW,3670,DAY,3627,,0,319 M80 M83 AA,24,DFW,3670,DCA,3520,,0,738 M80 AA,24,DFW,3670,DEN,3751,,0,738 M80 M83 AA,24,DFW,3670,DRO,3713,Y,0,ER4 CRJ AA,24,DFW,3670,DSM,3729,,0,M83 M80 AA,24,DFW,3670,DTW,3645,,0,738 M83 M80 AA,24,DFW,3670,ELP,3559,,0,M80 319 AA,24,DFW,3670,EVV,4018,Y,0,ERD AA,24,DFW,3670,EWR,3494,,0,M83 M80 AA,24,DFW,3670,EZE,3988,,0,777 AA,24,DFW,3670,FAR,4292,Y,0,ER4 ERD AA,24,DFW,3670,FAT,3687,,0,M80 AA,24,DFW,3670,FLL,3533,,0,738 AA,24,DFW,3670,FRA,340,,0,777 AA,24,DFW,3670,FSD,4009,Y,0,ER4 CRJ AA,24,DFW,3670,FSM,3437,Y,0,ER4 ERD AA,24,DFW,3670,FWA,4041,Y,0,ER4 AA,24,DFW,3670,GCK,3497,Y,0,ERD ER4 AA,24,DFW,3670,GDL,1804,,0,M80 AA,24,DFW,3670,GGG,3465,Y,0,ER4 ERD AA,24,DFW,3670,GIG,2560,,0,763 AA,24,DFW,3670,GJT,4063,Y,0,ER4 AA,24,DFW,3670,GPT,4038,Y,0,ERD ER4 AA,24,DFW,3670,GRI,5740,Y,0,ERD ER4 AA,24,DFW,3670,GRK,3775,Y,0,ER4 CRJ ERD AA,24,DFW,3670,GRR,3685,Y,0,ER4 ERD AA,24,DFW,3670,GRU,2564,,0,77W AA,24,DFW,3670,GSO,4008,Y,0,ER4 AA,24,DFW,3670,GSP,4034,Y,0,ER4 AA,24,DFW,3670,GUA,1767,,0,738 AA,24,DFW,3670,HNL,3728,,0,763 AA,24,DFW,3670,HOU,3566,,0,M83 M80 AA,24,DFW,3670,HSV,4113,,0,319 AA,24,DFW,3670,IAD,3714,,0,738 M80 AA,24,DFW,3670,IAH,3550,,0,M83 M80 AA,24,DFW,3670,ICN,3930,,0,777 AA,24,DFW,3670,ICT,3457,,0,319 AA,24,DFW,3670,IND,3585,,0,M80 M83 AA,24,DFW,3670,JAN,3580,Y,0,ER4 ERD AA,24,DFW,3670,JAX,3712,,0,M80 M83 AA,24,DFW,3670,JFK,3797,,0,738 AA,24,DFW,3670,JLN,4354,Y,0,ER4 AA,24,DFW,3670,LAS,3877,,0,738 M80 M83 757 AA,24,DFW,3670,LAW,4256,Y,0,ERD ER4 AA,24,DFW,3670,LAX,3484,,0,738 763 757 M83 AA,24,DFW,3670,LBB,3829,,0,M80 M83 AA,24,DFW,3670,LCH,3513,Y,0,ERD ER4 AA,24,DFW,3670,LEX,4017,Y,0,ERD ER4 AA,24,DFW,3670,LFT,3493,Y,0,ERD ER4 CRJ AA,24,DFW,3670,LGA,3697,,0,738 AA,24,DFW,3670,LHR,507,,0,77W 777 AA,24,DFW,3670,LIM,2789,,0,763 AA,24,DFW,3670,LIR,1881,,0,738 AA,24,DFW,3670,LIT,3660,,0,M80 M83 AA,24,DFW,3670,LRD,3691,Y,0,ERD CRJ ER4 AA,24,DFW,3670,MAD,1229,,0,777 AA,24,DFW,3670,MAF,3652,Y,0,ERD CRJ ER4 AA,24,DFW,3670,MBJ,1780,,0,738 AA,24,DFW,3670,MCI,3458,,0,M80 M83 AA,24,DFW,3670,MCO,3878,,0,738 M80 M83 757 AA,24,DFW,3670,MEM,3473,,0,319 AA,24,DFW,3670,MEX,1824,,0,M80 M83 AA,24,DFW,3670,MFE,3826,,0,319 M80 M83 AA,24,DFW,3670,MGM,4115,Y,0,ER4 ERD AA,24,DFW,3670,MHK,4050,Y,0,ER4 ERD AA,24,DFW,3670,MIA,3576,,0,738 763 757 AA,24,DFW,3670,MKE,3717,,0,M80 M83 AA,24,DFW,3670,MLI,4072,Y,0,ERD ER4 AA,24,DFW,3670,MLM,1821,Y,0,ER4 AA,24,DFW,3670,MLU,3732,Y,0,ER4 CRJ AA,24,DFW,3670,MOB,3782,Y,0,ER4 CRJ AA,24,DFW,3670,MSN,3459,Y,0,ER4 CRJ AA,24,DFW,3670,MSP,3858,,0,M80 M83 738 AA,24,DFW,3670,MSY,3861,,0,M83 M80 AA,24,DFW,3670,MTY,1825,,0,M80 M83 AA,24,DFW,3670,MZT,1826,Y,0,ERD ER4 AA,24,DFW,3670,NAS,1953,,0,738 AA,24,DFW,3670,NRT,2279,,0,777 AA,24,DFW,3670,OGG,3456,,0,763 AA,24,DFW,3670,OKC,3863,,0,M80 M83 AA,24,DFW,3670,OMA,3454,,0,M83 M80 AA,24,DFW,3670,ONT,3734,,0,M83 M80 AA,24,DFW,3670,ORD,3830,,0,M80 M83 AA,24,DFW,3670,ORF,3611,,0,M80 M83 AA,24,DFW,3670,PBC,1831,Y,0,ERD AA,24,DFW,3670,PBI,3722,,0,738 AA,24,DFW,3670,PDX,3720,,0,M83 AA,24,DFW,3670,PHL,3752,,0,738 320 319 M83 M80 E90 757 AA,24,DFW,3670,PHX,3462,,0,321 738 M80 319 M83 320 AA,24,DFW,3670,PIA,4046,Y,0,ER4 AA,24,DFW,3670,PIT,3570,,0,M80 AA,24,DFW,3670,PLS,1754,,0,738 AA,24,DFW,3670,PNS,3564,,0,M83 M80 AA,24,DFW,3670,PSP,3839,,0,M80 M83 AA,24,DFW,3670,PTY,1871,,0,738 AA,24,DFW,3670,PVR,1836,,0,M80 M83 AA,24,DFW,3670,QRO,1838,Y,0,ERD AA,24,DFW,3670,RAP,4087,Y,0,ER4 CRJ AA,24,DFW,3670,RDU,3626,,0,M80 M83 738 AA,24,DFW,3670,RIC,3608,,0,M80 M83 AA,24,DFW,3670,RNO,3807,,0,M83 738 AA,24,DFW,3670,ROW,3736,Y,0,ERD AA,24,DFW,3670,RSW,3793,,0,738 AA,24,DFW,3670,RTB,1774,,0,738 AA,24,DFW,3670,SAF,3784,Y,0,ER4 ERD AA,24,DFW,3670,SAL,1892,,0,738 AA,24,DFW,3670,SAN,3731,,0,738 M80 M83 757 AA,24,DFW,3670,SAT,3621,,0,M83 M80 AA,24,DFW,3670,SAV,3613,Y,0,ER4 AA,24,DFW,3670,SCL,2650,,0,763 AA,24,DFW,3670,SDF,4014,,0,M80 M83 319 AA,24,DFW,3670,SEA,3577,,0,738 757 AA,24,DFW,3670,SFO,3469,,0,738 757 763 AA,24,DFW,3670,SGF,4348,Y,0,ERD ER4 AA,24,DFW,3670,SHV,3609,Y,0,CRJ ERD ER4 AA,24,DFW,3670,SJC,3748,,0,M83 AA,24,DFW,3670,SJD,1840,,0,M80 M83 AA,24,DFW,3670,SJO,1885,,0,757 AA,24,DFW,3670,SJT,3708,Y,0,ER4 CRJ ERD AA,24,DFW,3670,SJU,2890,,0,757 AA,24,DFW,3670,SLC,3536,,0,M83 M80 AA,24,DFW,3670,SLP,1842,Y,0,ERD AA,24,DFW,3670,SMF,3817,,0,M83 AA,24,DFW,3670,SNA,3867,,0,738 AA,24,DFW,3670,SPI,4336,Y,0,ERD ER4 AA,24,DFW,3670,SPS,3680,Y,0,ER4 CRJ ERD AA,24,DFW,3670,STL,3678,,0,M80 M83 738 AA,24,DFW,3670,TLH,3698,Y,0,ER4 ERD AA,24,DFW,3670,TPA,3646,,0,738 M83 M80 AA,24,DFW,3670,TRC,1845,Y,0,ER4 AA,24,DFW,3670,TUL,3855,,0,M83 757 M80 738 AA,24,DFW,3670,TUS,3636,,0,M80 M83 AA,24,DFW,3670,TXK,3770,Y,0,ERD ER4 AA,24,DFW,3670,TYR,3848,Y,0,ERD ER4 CRJ AA,24,DFW,3670,TYS,3676,Y,0,ERD ER4 CRJ AA,24,DFW,3670,VPS,3873,Y,0,ER4 CRJ ERD AA,24,DFW,3670,XNA,4356,,0,M80 AA,24,DFW,3670,YEG,49,,0,319 AA,24,DFW,3670,YUL,146,,0,738 AA,24,DFW,3670,YVR,156,,0,738 AA,24,DFW,3670,YYC,178,,0,M80 M83 738 AA,24,DFW,3670,YYZ,193,,0,319 AA,24,DFW,3670,ZCL,1855,Y,0,ERD AA,24,DKR,1084,BJL,1050,Y,0,L4T AA,24,DKR,1084,LPA,1054,Y,0,320 AA,24,DOH,11051,BAH,2057,Y,0,777 AA,24,DOH,11051,IAD,3714,,0,777 AA,24,DOH,11051,IAH,3550,,0,777 AA,24,DOH,11051,JFK,3797,,0,777 AA,24,DOH,11051,ORD,3830,,0,777 AA,24,DOH,11051,PHL,3752,,0,777 AA,24,DOM,2877,SJU,2890,,0,SF3 AA,24,DRO,3713,DFW,3670,Y,0,ER4 CRJ AA,24,DRO,3713,PHX,3462,Y,0,CRJ CR9 AA,24,DRW,3999,BNE,3320,Y,0,763 737 AA,24,DRW,3999,SYD,3361,Y,0,737 AA,24,DSM,3729,CLT,3876,Y,0,CR9 AA,24,DSM,3729,DCA,3520,Y,0,E70 CRJ AA,24,DSM,3729,DFW,3670,,0,M80 M83 AA,24,DSM,3729,ORD,3830,Y,0,E75 ERD ER4 AA,24,DSM,3729,PHX,3462,,0,319 AA,24,DTW,3645,CLT,3876,,0,319 321 AA,24,DTW,3645,DCA,3520,Y,0,E70 CRJ E75 AA,24,DTW,3645,DFW,3670,,0,M83 M80 738 AA,24,DTW,3645,LGA,3697,Y,0,CR7 AA,24,DTW,3645,MIA,3576,,0,738 AA,24,DTW,3645,ORD,3830,Y,0,E75 ERD ER4 CR7 AA,24,DTW,3645,PHL,3752,,0,320 E90 319 AA,24,DTW,3645,PHX,3462,,0,319 321 AA,24,DTW,3645,YUL,146,Y,0,330 AA,24,DUB,599,CLT,3876,,0,757 AA,24,DUB,599,JFK,3797,,0,757 AA,24,DUB,599,LHR,507,Y,0,319 AA,24,DUB,599,ORD,3830,,0,763 AA,24,DUB,599,PHL,3752,,0,332 AA,24,DUS,345,AUH,2179,Y,0,330 AA,24,DUS,345,JFK,3797,Y,0,330 AA,24,DUS,345,LAX,3484,Y,0,330 AA,24,DUS,345,LHR,507,Y,0,319 320 AA,24,DUS,345,MIA,3576,Y,0,330 AA,24,DUS,345,ORD,3830,,0,763 AA,24,DUS,345,RSW,3793,Y,0,330 AA,24,DXB,2188,LHR,507,Y,0,744 777 AA,24,EBB,1187,LHR,507,Y,0,767 AA,24,EDI,535,LHR,507,Y,0,767 320 321 AA,24,EIS,2903,SJU,2890,,0,SF3 AA,24,ELH,1943,MIA,3576,Y,0,ER4 AA,24,ELM,3946,PHL,3752,,0,DH3 AA,24,ELP,3559,DFW,3670,,0,M80 319 AA,24,ELP,3559,LAX,3484,Y,0,CRJ AA,24,ELP,3559,ORD,3830,Y,0,E75 AA,24,ELP,3559,PHX,3462,Y,0,CRJ CR9 AA,24,ERI,4276,PHL,3752,,0,DH3 AA,24,EUG,4099,LAX,3484,Y,0,CRJ AA,24,EUG,4099,PDX,3720,Y,0,DH4 AA,24,EVV,4018,DFW,3670,Y,0,ERD AA,24,EVV,4018,ORD,3830,Y,0,ER4 ERD AA,24,EWN,3730,CLT,3876,,0,DH8 DH3 AA,24,EWR,3494,CLT,3876,,0,321 320 737 319 AA,24,EWR,3494,DFW,3670,,0,M83 M80 AA,24,EWR,3494,HKG,3077,Y,0,773 AA,24,EWR,3494,LHR,507,Y,0,777 787 AA,24,EWR,3494,MIA,3576,,0,757 738 AA,24,EWR,3494,ORD,3830,Y,0,E75 CR7 AA,24,EWR,3494,ORY,1386,Y,0,757 AA,24,EWR,3494,PHL,3752,,0,DH3 AA,24,EWR,3494,PHX,3462,,0,320 AA,24,EWR,3494,SEA,3577,Y,0,737 AA,24,EYW,3875,MIA,3576,Y,0,ERD AA,24,EZE,3988,DFW,3670,,0,777 AA,24,EZE,3988,JFK,3797,,0,777 AA,24,EZE,3988,MIA,3576,,0,777 AA,24,FAR,4292,DFW,3670,Y,0,ER4 ERD AA,24,FAR,4292,ORD,3830,Y,0,ER4 AA,24,FAT,3687,DFW,3670,,0,M80 AA,24,FAT,3687,LAX,3484,Y,0,CRJ AA,24,FAT,3687,PHX,3462,Y,0,CR9 CRJ AA,24,FAY,5738,CLT,3876,,0,DH8 AA,24,FAY,5738,DCA,3520,Y,0,DH3 AA,24,FCO,1555,CLT,3876,,0,333 AA,24,FCO,1555,JFK,3797,,0,763 AA,24,FCO,1555,LHR,507,Y,0,321 767 319 320 AA,24,FCO,1555,ORD,3830,,0,763 AA,24,FCO,1555,PHL,3752,,0,333 AA,24,FDF,2878,MIA,3576,,0,738 AA,24,FDF,2878,SJU,2890,Y,0,SF3 AA,24,FLG,4261,PHX,3462,Y,0,CRJ AA,24,FLL,3533,CLT,3876,,0,319 321 320 737 AA,24,FLL,3533,DCA,3520,,0,319 AA,24,FLL,3533,DFW,3670,,0,738 AA,24,FLL,3533,ORD,3830,,0,738 AA,24,FLL,3533,PAP,1897,,0,738 AA,24,FLL,3533,PHL,3752,,0,320 319 737 AA,24,FLL,3533,PHX,3462,,0,320 319 AA,24,FLO,3879,CLT,3876,,0,DH3 DH8 AA,24,FNT,4089,ORD,3830,Y,0,ER4 ERD AA,24,FPO,1948,CLT,3876,Y,0,CR7 AA,24,FPO,1948,MIA,3576,Y,0,ER4 ERD AA,24,FRA,340,CLT,3876,,0,333 332 AA,24,FRA,340,DFW,3670,,0,777 AA,24,FRA,340,KUL,3304,,0,777 AA,24,FRA,340,LHR,507,Y,0,320 767 319 AA,24,FRA,340,PHL,3752,,0,332 767 AA,24,FSD,4009,DFW,3670,Y,0,ER4 CRJ AA,24,FSD,4009,ORD,3830,Y,0,ER4 ERD AA,24,FSM,3437,DFW,3670,Y,0,ER4 ERD AA,24,FUK,2305,NRT,2279,,0,737 AA,24,FWA,4041,DFW,3670,Y,0,ER4 AA,24,FWA,4041,ORD,3830,Y,0,ER4 ERD AA,24,GCK,3497,DFW,3670,Y,0,ER4 ERD AA,24,GCM,1926,CLT,3876,,0,320 321 319 AA,24,GCM,1926,MIA,3576,,0,738 AA,24,GCM,1926,PHL,3752,,0,319 AA,24,GDL,1804,DFW,3670,,0,M80 AA,24,GDL,1804,LAX,3484,Y,0,737 AA,24,GDL,1804,PHX,3462,Y,0,CR9 CRJ AA,24,GDL,1804,SJC,3748,Y,0,737 AA,24,GEG,3467,PHX,3462,,0,319 AA,24,GGG,3465,DFW,3670,Y,0,ER4 ERD AA,24,GGT,1941,MIA,3576,Y,0,ER4 AA,24,GIB,1738,LHR,507,Y,0,320 AA,24,GIG,2560,CLT,3876,,0,767 AA,24,GIG,2560,DFW,3670,,0,763 AA,24,GIG,2560,JFK,3797,,0,763 AA,24,GIG,2560,MIA,3576,,0,763 AA,24,GJT,4063,DFW,3670,Y,0,ER4 AA,24,GJT,4063,PHX,3462,Y,0,CRJ AA,24,GLA,534,LHR,507,Y,0,319 320 321 AA,24,GLA,534,PHL,3752,,0,757 AA,24,GND,2882,MIA,3576,,0,738 AA,24,GNV,3472,CLT,3876,,0,CRJ AA,24,GNV,3472,MIA,3576,Y,0,ER4 AA,24,GOT,687,LHR,507,Y,0,320 321 319 AA,24,GPT,4038,CLT,3876,Y,0,CRJ CR7 AA,24,GPT,4038,DFW,3670,Y,0,ERD ER4 AA,24,GRB,3653,ORD,3830,Y,0,ER4 AA,24,GRI,5740,DFW,3670,Y,0,ER4 ERD AA,24,GRK,3775,DFW,3670,Y,0,ER4 CRJ ERD AA,24,GRR,3685,DFW,3670,Y,0,ERD ER4 AA,24,GRR,3685,ORD,3830,Y,0,ER4 ERD AA,24,GRU,2564,CLT,3876,,0,332 AA,24,GRU,2564,DFW,3670,,0,77W AA,24,GRU,2564,JFK,3797,,0,77W 777 773 AA,24,GRU,2564,LAX,3484,,0,777 AA,24,GRU,2564,MCO,3878,,0,320 AA,24,GRU,2564,MIA,3576,,0,773 777 AA,24,GSO,4008,CLT,3876,,0,DH8 AA,24,GSO,4008,DCA,3520,Y,0,CRJ AA,24,GSO,4008,DFW,3670,Y,0,ER4 AA,24,GSO,4008,LGA,3697,Y,0,ERD AA,24,GSO,4008,MIA,3576,Y,0,ER4 AA,24,GSO,4008,PHL,3752,Y,0,E75 CRJ E70 AA,24,GSP,4034,CLT,3876,,0,DH3 DH8 AA,24,GSP,4034,DCA,3520,Y,0,CRJ AA,24,GSP,4034,DFW,3670,Y,0,ER4 AA,24,GSP,4034,PHL,3752,Y,0,CRJ AA,24,GUA,1767,DFW,3670,,0,738 AA,24,GUA,1767,MIA,3576,,0,738 AA,24,GVA,1665,LHR,507,Y,0,320 319 321 AA,24,GYE,2673,JFK,3797,Y,0,763 AA,24,GYE,2673,MIA,3576,,0,738 763 757 AA,24,GYE,2673,SCY,6045,Y,0,319 AA,24,GYE,2673,UIO,2688,Y,0,319 AA,24,HAJ,352,LHR,507,Y,0,319 AA,24,HAM,342,LHR,507,Y,0,320 319 321 AA,24,HAN,3199,NRT,2279,,0,763 AA,24,HEL,421,JFK,3797,Y,0,330 AA,24,HEL,421,LHR,507,Y,0,320 AA,24,HEL,421,MAN,478,Y,0,E70 AA,24,HHH,8314,CLT,3876,,0,DH3 AA,24,HHH,8314,DCA,3520,,0,DH3 AA,24,HKG,3077,EWR,3494,Y,0,773 AA,24,HKG,3077,JFK,3797,Y,0,773 AA,24,HKG,3077,LAX,3484,Y,0,773 AA,24,HKG,3077,NRT,2279,,0,763 AA,24,HKG,3077,ORD,3830,Y,0,773 AA,24,HKG,3077,SFO,3469,Y,0,773 744 AA,24,HMO,1807,PHX,3462,Y,0,CRJ AA,24,HND,2359,HNL,3728,,0,777 AA,24,HND,2359,SFO,3469,,0,787 AA,24,HNL,3728,DFW,3670,,0,763 AA,24,HNL,3728,HND,2359,,0,777 AA,24,HNL,3728,KIX,3992,,0,777 AA,24,HNL,3728,LAX,3484,,0,757 AA,24,HNL,3728,NGO,3942,,0,777 AA,24,HNL,3728,NRT,2279,,0,787 777 AA,24,HNL,3728,OAK,3453,Y,0,737 AA,24,HNL,3728,PHX,3462,,0,757 AA,24,HNL,3728,SJC,3748,Y,0,737 AA,24,HNL,3728,SYD,3361,Y,0,763 AA,24,HOU,3566,DFW,3670,,0,M83 M80 AA,24,HPN,3589,CLT,3876,Y,0,CRJ AA,24,HPN,3589,DCA,3520,Y,0,CRJ AA,24,HPN,3589,ORD,3830,Y,0,ERD AA,24,HPN,3589,PHL,3752,,0,DH3 AA,24,HSV,4113,CLT,3876,Y,0,CR7 CRJ AA,24,HSV,4113,DCA,3520,Y,0,E70 CRJ AA,24,HSV,4113,DFW,3670,,0,319 AA,24,HSV,4113,ORD,3830,Y,0,ER4 AA,24,HTS,5742,CLT,3876,,0,DH3 DH8 AA,24,HVN,4006,PHL,3752,,0,DH3 AA,24,HYD,\N,LHR,507,Y,0,767 AA,24,IAD,3714,AUH,2179,Y,0,340 AA,24,IAD,3714,CLT,3876,,0,CR7 CR9 AA,24,IAD,3714,DFW,3670,,0,738 M80 AA,24,IAD,3714,DOH,11051,,0,777 AA,24,IAD,3714,LAX,3484,,0,738 AA,24,IAD,3714,LHR,507,Y,0,744 777 AA,24,IAD,3714,MIA,3576,,0,738 AA,24,IAH,3550,CLT,3876,,0,321 737 319 320 AA,24,IAH,3550,DFW,3670,,0,M80 M83 AA,24,IAH,3550,DOH,11051,,0,777 AA,24,IAH,3550,LAX,3484,Y,0,CR7 AA,24,IAH,3550,LHR,507,Y,0,744 777 AA,24,IAH,3550,MIA,3576,,0,738 AA,24,IAH,3550,ORD,3830,Y,0,CR7 AA,24,IAH,3550,PHL,3752,,0,E90 AA,24,IAH,3550,PHX,3462,,0,319 320 AA,24,ICN,3930,DFW,3670,,0,777 AA,24,ICN,3930,NRT,2279,,0,737 AA,24,ICT,3457,DFW,3670,,0,319 AA,24,ICT,3457,ORD,3830,Y,0,CRJ AA,24,ILM,3845,CLT,3876,,0,319 CR9 AA,24,ILM,3845,DCA,3520,Y,0,CRJ AA,24,ILM,3845,LGA,3697,Y,0,ERD AA,24,ILM,3845,PHL,3752,Y,0,CRJ E75 AA,24,IND,3585,CLT,3876,,0,319 AA,24,IND,3585,DCA,3520,Y,0,E70 E75 CRJ AA,24,IND,3585,DFW,3670,,0,M80 M83 AA,24,IND,3585,JFK,3797,Y,0,ER4 AA,24,IND,3585,LAX,3484,,0,738 AA,24,IND,3585,MIA,3576,Y,0,ER4 AA,24,IND,3585,ORD,3830,Y,0,E75 ER4 ERD CR7 AA,24,IND,3585,PHL,3752,,0,E90 AA,24,IND,3585,PHX,3462,,0,320 319 AA,24,IPT,3584,PHL,3752,,0,DH3 AA,24,ISB,2223,AUH,2179,Y,0,320 332 AA,24,ISP,3857,DCA,3520,Y,0,CRJ AA,24,ISP,3857,PHL,3752,,0,DH3 AA,24,IST,1701,LHR,507,Y,0,320 AA,24,ITH,3947,PHL,3752,,0,DH3 AA,24,ITM,2334,NRT,2279,,0,773 737 AA,24,JAN,3580,CLT,3876,Y,0,CRJ CR7 AA,24,JAN,3580,DCA,3520,Y,0,CRJ AA,24,JAN,3580,DFW,3670,Y,0,ER4 ERD AA,24,JAX,3712,CLT,3876,,0,319 737 AA,24,JAX,3712,DCA,3520,Y,0,E75 CRJ E70 AA,24,JAX,3712,DFW,3670,,0,M83 M80 AA,24,JAX,3712,MIA,3576,Y,0,ER4 ERD AA,24,JAX,3712,ORD,3830,Y,0,ER4 CR7 AA,24,JAX,3712,PHL,3752,,0,E90 AA,24,JFK,3797,AMM,2170,Y,0,340 330 AA,24,JFK,3797,ANU,2874,,0,738 AA,24,JFK,3797,AUH,2179,Y,0,777 AA,24,JFK,3797,AUS,3673,,0,738 AA,24,JFK,3797,BCN,1218,,0,763 AA,24,JFK,3797,BDA,4069,,0,738 AA,24,JFK,3797,BNA,3690,Y,0,ER4 AA,24,JFK,3797,BOS,3448,,0,738 AA,24,JFK,3797,BWI,3849,Y,0,ER4 AA,24,JFK,3797,CCS,2851,,0,757 738 AA,24,JFK,3797,CDG,1382,,0,763 757 AA,24,JFK,3797,CLE,3486,Y,0,ER4 AA,24,JFK,3797,CLT,3876,,0,321 319 AA,24,JFK,3797,CMH,3759,Y,0,ER4 CR7 AA,24,JFK,3797,CUN,1852,,0,738 AA,24,JFK,3797,CVG,3488,Y,0,ER4 AA,24,JFK,3797,DCA,3520,,0,738 AA,24,JFK,3797,DFW,3670,,0,738 757 AA,24,JFK,3797,DOH,11051,,0,777 AA,24,JFK,3797,DUB,599,,0,757 AA,24,JFK,3797,DUS,345,Y,0,330 AA,24,JFK,3797,EZE,3988,,0,777 AA,24,JFK,3797,FCO,1555,,0,763 AA,24,JFK,3797,GIG,2560,,0,763 AA,24,JFK,3797,GRU,2564,,0,773 77W 777 AA,24,JFK,3797,GYE,2673,Y,0,763 AA,24,JFK,3797,HEL,421,Y,0,330 AA,24,JFK,3797,HKG,3077,Y,0,773 AA,24,JFK,3797,IND,3585,Y,0,ER4 AA,24,JFK,3797,LAS,3877,,0,738 AA,24,JFK,3797,LAX,3484,,0,32B 762 AA,24,JFK,3797,LCY,503,,0,318 AA,24,JFK,3797,LHR,507,,0,777 77W AA,24,JFK,3797,LIM,2789,Y,0,763 AA,24,JFK,3797,MAD,1229,,0,330 757 340 AA,24,JFK,3797,MAN,478,,0,757 AA,24,JFK,3797,MCO,3878,,0,763 757 AA,24,JFK,3797,MIA,3576,,0,757 763 738 AA,24,JFK,3797,MXP,1524,,0,763 AA,24,JFK,3797,NRT,2279,,0,787 773 AA,24,JFK,3797,ORD,3830,,0,738 AA,24,JFK,3797,ORF,3611,Y,0,ER4 AA,24,JFK,3797,ORY,1386,Y,0,757 AA,24,JFK,3797,PAP,1897,,0,763 AA,24,JFK,3797,PHX,3462,,0,321 AA,24,JFK,3797,PIT,3570,Y,0,ER4 AA,24,JFK,3797,RDU,3626,Y,0,ERD CR7 AA,24,JFK,3797,SAN,3731,,0,738 AA,24,JFK,3797,SCL,2650,Y,0,787 AA,24,JFK,3797,SEA,3577,,0,738 AA,24,JFK,3797,SFO,3469,,0,32B 763 AA,24,JFK,3797,SJO,1885,,0,738 AA,24,JFK,3797,SJU,2890,,0,757 AA,24,JFK,3797,STT,2883,,0,757 AA,24,JFK,3797,SXM,2899,,0,757 AA,24,JFK,3797,TPA,3646,Y,0,CR7 AA,24,JFK,3797,TXL,351,Y,0,330 AA,24,JFK,3797,YUL,146,Y,0,ERD AA,24,JFK,3797,YYC,178,,0,737 AA,24,JFK,3797,YYZ,193,Y,0,CR7 AA,24,JFK,3797,ZRH,1678,,0,763 AA,24,JLN,4354,DFW,3670,Y,0,ER4 AA,24,JNB,813,LHR,507,Y,0,380 744 AA,24,JNU,3492,KTN,3808,Y,0,737 AA,24,JUL,2792,AQP,2802,Y,0,320 AA,24,KHH,2264,NRT,2279,,0,763 AA,24,KIN,1779,MIA,3576,,0,738 AA,24,KIX,3992,HNL,3728,,0,777 AA,24,KOA,3514,LAX,3484,,0,757 AA,24,KOA,3514,OAK,3453,Y,0,737 AA,24,KOA,3514,PHX,3462,,0,757 AA,24,KOA,3514,SJC,3748,Y,0,737 AA,24,KTN,3808,JNU,3492,Y,0,734 AA,24,KTN,3808,SEA,3577,Y,0,734 AA,24,KUL,3304,BKK,3885,,0,737 AA,24,KUL,3304,CDG,1382,,0,380 AA,24,KUL,3304,FRA,340,,0,777 AA,24,KUL,3304,LGK,3305,,0,737 AA,24,KUL,3304,LHR,507,,0,380 AA,24,KUL,3304,NRT,2279,,0,763 AA,24,KUL,3304,PEN,3308,,0,737 AA,24,KUL,3304,SIN,3316,,0,737 AA,24,KWI,2176,LHR,507,Y,0,744 AA,24,LAS,3877,CLT,3876,,0,321 AA,24,LAS,3877,DCA,3520,,0,320 319 AA,24,LAS,3877,DFW,3670,,0,M80 738 M83 757 AA,24,LAS,3877,JFK,3797,,0,738 AA,24,LAS,3877,LAX,3484,,0,738 AA,24,LAS,3877,LGW,502,Y,0,777 AA,24,LAS,3877,LHR,507,Y,0,744 AA,24,LAS,3877,MIA,3576,,0,757 738 AA,24,LAS,3877,ORD,3830,,0,M83 738 AA,24,LAS,3877,PHL,3752,,0,320 321 AA,24,LAS,3877,PHX,3462,,0,320 321 319 AA,24,LAS,3877,YEG,49,,0,737 AA,24,LAS,3877,YVR,156,,0,737 AA,24,LAS,3877,YYC,178,,0,737 AA,24,LAS,3877,YYZ,193,,0,737 AA,24,LAW,4256,DFW,3670,Y,0,ER4 ERD AA,24,LAX,3484,ABQ,4019,Y,0,CRJ CR7 AA,24,LAX,3484,ANC,3774,Y,0,737 AA,24,LAX,3484,AUS,3673,,0,M83 738 AA,24,LAX,3484,BDL,3825,,0,738 AA,24,LAX,3484,BNA,3690,,0,738 AA,24,LAX,3484,BNE,3320,Y,0,744 AA,24,LAX,3484,BOS,3448,,0,757 738 AA,24,LAX,3484,CLT,3876,,0,321 AA,24,LAX,3484,CMH,3759,,0,738 AA,24,LAX,3484,DCA,3520,,0,738 AA,24,LAX,3484,DEN,3751,Y,0,CR7 AA,24,LAX,3484,DFW,3670,,0,738 763 757 M83 AA,24,LAX,3484,DUS,345,Y,0,330 AA,24,LAX,3484,ELP,3559,Y,0,CRJ AA,24,LAX,3484,EUG,4099,Y,0,CRJ AA,24,LAX,3484,FAT,3687,Y,0,CRJ AA,24,LAX,3484,GDL,1804,Y,0,737 AA,24,LAX,3484,GRU,2564,,0,777 AA,24,LAX,3484,HKG,3077,Y,0,773 AA,24,LAX,3484,HNL,3728,,0,757 AA,24,LAX,3484,IAD,3714,,0,738 AA,24,LAX,3484,IAH,3550,Y,0,CR7 AA,24,LAX,3484,IND,3585,,0,738 AA,24,LAX,3484,JFK,3797,,0,32B 762 AA,24,LAX,3484,KOA,3514,,0,757 AA,24,LAX,3484,LAS,3877,,0,738 AA,24,LAX,3484,LHR,507,,0,77W AA,24,LAX,3484,LIH,3602,,0,757 AA,24,LAX,3484,LIM,2789,Y,0,763 AA,24,LAX,3484,MAD,1229,Y,0,340 AA,24,LAX,3484,MCO,3878,,0,757 738 AA,24,LAX,3484,MEL,3339,Y,0,380 AA,24,LAX,3484,MEX,1824,Y,0,737 AA,24,LAX,3484,MFR,4101,Y,0,DH4 AA,24,LAX,3484,MIA,3576,,0,757 777 763 738 AA,24,LAX,3484,MMH,7081,Y,0,DH4 AA,24,LAX,3484,MRY,3948,Y,0,CRJ AA,24,LAX,3484,NAN,1960,Y,0,330 AA,24,LAX,3484,NRT,2279,,0,777 773 AA,24,LAX,3484,OGG,3456,,0,757 AA,24,LAX,3484,OKC,3863,Y,0,CR7 AA,24,LAX,3484,ORD,3830,,0,738 AA,24,LAX,3484,PBI,3722,,0,738 AA,24,LAX,3484,PDX,3720,Y,0,737 AA,24,LAX,3484,PHL,3752,,0,321 320 AA,24,LAX,3484,PHX,3462,,0,321 319 320 AA,24,LAX,3484,PIT,3570,,0,738 AA,24,LAX,3484,PPT,4075,Y,0,340 AA,24,LAX,3484,PVG,3406,,0,777 AA,24,LAX,3484,RDM,4103,Y,0,CRJ AA,24,LAX,3484,RDU,3626,,0,738 AA,24,LAX,3484,RNO,3807,Y,0,CRJ AA,24,LAX,3484,SAF,3784,Y,0,CRJ AA,24,LAX,3484,SAN,3731,Y,0,CRJ CR7 AA,24,LAX,3484,SEA,3577,Y,0,737 AA,24,LAX,3484,SFO,3469,,0,738 AA,24,LAX,3484,SJC,3748,Y,0,CR7 CRJ AA,24,LAX,3484,SJD,1840,,0,M83 738 AA,24,LAX,3484,SLC,3536,Y,0,CRJ CR7 AA,24,LAX,3484,SMF,3817,Y,0,CRJ AA,24,LAX,3484,STL,3678,,0,M83 AA,24,LAX,3484,STS,6992,Y,0,DH4 AA,24,LAX,3484,SYD,3361,Y,0,380 744 AA,24,LAX,3484,TUS,3636,Y,0,CRJ AA,24,LAX,3484,XNA,4356,Y,0,CR7 AA,24,LAX,3484,YEG,49,,0,737 AA,24,LAX,3484,YVR,156,,0,737 AA,24,LAX,3484,YYC,178,,0,737 AA,24,LAX,3484,YYZ,193,,0,738 AA,24,LBA,517,LHR,507,Y,0,319 AA,24,LBB,3829,DFW,3670,,0,M80 M83 AA,24,LCA,1197,LHR,507,Y,0,767 AA,24,LCH,3513,DFW,3670,Y,0,ER4 ERD AA,24,LEX,4017,CLT,3876,Y,0,CR7 CRJ AA,24,LEX,4017,DFW,3670,Y,0,ERD ER4 AA,24,LEX,4017,ORD,3830,Y,0,ERD ER4 AA,24,LFT,3493,DFW,3670,Y,0,ERD ER4 CRJ AA,24,LGA,3697,BNA,3690,Y,0,CR7 AA,24,LGA,3697,BOS,3448,,0,319 E90 AA,24,LGA,3697,CHO,4015,Y,0,ERD AA,24,LGA,3697,CLT,3876,,0,321 319 320 AA,24,LGA,3697,CMH,3759,Y,0,CR7 ERD AA,24,LGA,3697,DAY,3627,Y,0,ERD AA,24,LGA,3697,DCA,3520,,0,319 E90 AA,24,LGA,3697,DFW,3670,,0,738 AA,24,LGA,3697,DTW,3645,Y,0,CR7 AA,24,LGA,3697,GSO,4008,Y,0,ERD AA,24,LGA,3697,ILM,3845,Y,0,ERD AA,24,LGA,3697,LIT,3660,Y,0,CR7 AA,24,LGA,3697,MIA,3576,,0,738 AA,24,LGA,3697,ORD,3830,,0,738 AA,24,LGA,3697,ORF,3611,Y,0,ERD AA,24,LGA,3697,PBI,3722,,0,738 AA,24,LGA,3697,PHL,3752,,0,E90 DH3 319 AA,24,LGA,3697,PIT,3570,Y,0,CRJ E75 AA,24,LGA,3697,RDU,3626,Y,0,ERD CR7 AA,24,LGA,3697,RIC,3608,Y,0,ERD AA,24,LGA,3697,ROA,4016,Y,0,ERD AA,24,LGA,3697,SDF,4014,Y,0,ERD AA,24,LGA,3697,STL,3678,Y,0,CR7 AA,24,LGA,3697,TYS,3676,Y,0,ERD AA,24,LGA,3697,XNA,4356,Y,0,CR7 AA,24,LGA,3697,YUL,146,Y,0,ERD AA,24,LGA,3697,YYZ,193,Y,0,CR7 AA,24,LGB,3582,PDX,3720,Y,0,CR7 AA,24,LGB,3582,PHX,3462,,0,319 AA,24,LGB,3582,SEA,3577,Y,0,CR7 AA,24,LGK,3305,KUL,3304,,0,737 AA,24,LGW,502,LAS,3877,Y,0,777 AA,24,LGW,502,MCO,3878,Y,0,777 AA,24,LGW,502,TPA,3646,Y,0,777 AA,24,LHE,2207,AUH,2179,Y,0,346 77W 320 AA,24,LHR,507,ABZ,532,Y,0,319 321 320 AA,24,LHR,507,ACC,248,Y,0,744 AA,24,LHR,507,AGP,1230,Y,0,320 AA,24,LHR,507,AMS,580,Y,0,320 319 321 AA,24,LHR,507,ARN,737,Y,0,321 319 767 320 AA,24,LHR,507,ATH,3941,Y,0,767 320 AA,24,LHR,507,ATL,3682,Y,0,777 AA,24,LHR,507,AUH,2179,Y,0,777 AA,24,LHR,507,AUS,3673,,0,787 AA,24,LHR,507,BAH,2057,Y,0,777 AA,24,LHR,507,BCN,1218,Y,0,319 320 321 767 AA,24,LHR,507,BGO,636,Y,0,319 AA,24,LHR,507,BHD,467,Y,0,319 AA,24,LHR,507,BLQ,1538,Y,0,320 319 AA,24,LHR,507,BLR,3131,Y,0,777 AA,24,LHR,507,BOM,2997,Y,0,777 AA,24,LHR,507,BOS,3448,Y,0,744 777 AA,24,LHR,507,BRU,302,Y,0,320 319 321 AA,24,LHR,507,BSL,1423,Y,0,319 321 AA,24,LHR,507,BUD,1489,Y,0,320 AA,24,LHR,507,BWI,3849,Y,0,767 AA,24,LHR,507,CDG,1382,Y,0,320 319 321 AA,24,LHR,507,CLT,3876,,0,333 AA,24,LHR,507,CPH,609,Y,0,321 320 319 AA,24,LHR,507,CPT,797,Y,0,744 777 AA,24,LHR,507,DEL,3093,Y,0,777 AA,24,LHR,507,DEN,3751,Y,0,777 AA,24,LHR,507,DFW,3670,,0,77W 777 AA,24,LHR,507,DUB,599,Y,0,319 AA,24,LHR,507,DUS,345,Y,0,319 320 AA,24,LHR,507,DXB,2188,Y,0,744 777 AA,24,LHR,507,EBB,1187,Y,0,767 AA,24,LHR,507,EDI,535,Y,0,767 321 320 319 AA,24,LHR,507,EWR,3494,Y,0,777 787 AA,24,LHR,507,FCO,1555,Y,0,321 320 319 AA,24,LHR,507,FRA,340,Y,0,319 320 AA,24,LHR,507,GIB,1738,Y,0,320 AA,24,LHR,507,GLA,534,Y,0,319 320 321 767 AA,24,LHR,507,GOT,687,Y,0,320 321 319 AA,24,LHR,507,GVA,1665,Y,0,319 320 321 AA,24,LHR,507,HAJ,352,Y,0,319 AA,24,LHR,507,HAM,342,Y,0,321 319 320 AA,24,LHR,507,HEL,421,Y,0,320 AA,24,LHR,507,HYD,\N,Y,0,767 AA,24,LHR,507,IAD,3714,Y,0,744 777 AA,24,LHR,507,IAH,3550,Y,0,744 777 AA,24,LHR,507,IST,1701,Y,0,767 320 AA,24,LHR,507,JFK,3797,,0,77W 777 AA,24,LHR,507,JNB,813,Y,0,380 744 AA,24,LHR,507,KUL,3304,,0,380 AA,24,LHR,507,KWI,2176,Y,0,744 AA,24,LHR,507,LAS,3877,Y,0,744 AA,24,LHR,507,LAX,3484,,0,77W AA,24,LHR,507,LBA,517,Y,0,319 AA,24,LHR,507,LCA,1197,Y,0,767 AA,24,LHR,507,LIN,1529,Y,0,319 320 321 AA,24,LHR,507,LIS,1638,Y,0,320 AA,24,LHR,507,LUX,629,Y,0,319 AA,24,LHR,507,LYS,1335,Y,0,319 AA,24,LHR,507,MAA,3144,Y,0,777 AA,24,LHR,507,MAN,478,Y,0,319 320 321 AA,24,LHR,507,MIA,3576,,0,77W 777 AA,24,LHR,507,MRS,1353,Y,0,319 320 AA,24,LHR,507,MUC,346,Y,0,320 321 319 AA,24,LHR,507,MXP,1524,Y,0,319 320 321 AA,24,LHR,507,NBO,4059,Y,0,744 AA,24,LHR,507,NCE,1354,Y,0,320 321 319 AA,24,LHR,507,NCL,521,Y,0,321 320 319 AA,24,LHR,507,ORD,3830,,0,763 777 AA,24,LHR,507,OSL,644,Y,0,319 320 321 AA,24,LHR,507,OTP,1657,Y,0,320 AA,24,LHR,507,PHL,3752,,0,333 AA,24,LHR,507,PHX,3462,Y,0,744 AA,24,LHR,507,PRG,1587,Y,0,320 AA,24,LHR,507,PSA,1562,Y,0,320 321 AA,24,LHR,507,RDU,3626,,0,763 AA,24,LHR,507,RTM,591,Y,0,319 AA,24,LHR,507,SAN,3731,Y,0,777 AA,24,LHR,507,SEA,3577,,0,777 AA,24,LHR,507,SFO,3469,Y,0,744 AA,24,LHR,507,SOF,1194,Y,0,320 AA,24,LHR,507,STR,350,Y,0,319 321 320 AA,24,LHR,507,SVG,666,Y,0,319 AA,24,LHR,507,TLS,1273,Y,0,319 320 AA,24,LHR,507,TXL,351,Y,0,320 321 319 AA,24,LHR,507,VCE,1551,Y,0,320 319 AA,24,LHR,507,VIE,1613,Y,0,320 319 AA,24,LHR,507,WAW,679,Y,0,320 AA,24,LHR,507,YUL,146,Y,0,777 AA,24,LHR,507,YVR,156,Y,0,744 AA,24,LHR,507,YYC,178,Y,0,767 AA,24,LHR,507,YYZ,193,Y,0,787 744 AA,24,LHR,507,ZAG,1208,Y,0,319 320 AA,24,LHR,507,ZRH,1678,Y,0,320 319 321 AA,24,LIH,3602,LAX,3484,,0,757 AA,24,LIH,3602,OAK,3453,Y,0,737 AA,24,LIH,3602,PHX,3462,,0,757 AA,24,LIH,3602,SJC,3748,Y,0,737 AA,24,LIM,2789,DFW,3670,,0,763 AA,24,LIM,2789,JFK,3797,Y,0,763 AA,24,LIM,2789,LAX,3484,Y,0,763 AA,24,LIM,2789,MIA,3576,,0,757 763 AA,24,LIM,2789,SCL,2650,Y,0,763 AA,24,LIN,1529,LHR,507,Y,0,321 319 320 AA,24,LIR,1881,CLT,3876,,0,320 AA,24,LIR,1881,DFW,3670,,0,738 AA,24,LIR,1881,MIA,3576,,0,738 AA,24,LIR,1881,SJO,1885,,0, AA,24,LIS,1638,LHR,507,Y,0,320 AA,24,LIS,1638,PHL,3752,,0,757 AA,24,LIT,3660,CLT,3876,Y,0,CR9 CRJ AA,24,LIT,3660,DCA,3520,Y,0,E70 AA,24,LIT,3660,DFW,3670,,0,M80 M83 AA,24,LIT,3660,LGA,3697,Y,0,CR7 AA,24,LIT,3660,ORD,3830,Y,0,CR7 ER4 AA,24,LPA,1054,MAD,1229,Y,0,320 AA,24,LPB,2762,VVI,2771,,0,757 AA,24,LRD,3691,DFW,3670,Y,0,ERD CRJ ER4 AA,24,LRM,1759,MIA,3576,Y,0,ER4 AA,24,LSE,4044,ORD,3830,Y,0,ER4 ERD AA,24,LUX,629,LHR,507,Y,0,319 AA,24,LYH,5753,CLT,3876,,0,DH8 AA,24,LYS,1335,LHR,507,Y,0,319 AA,24,MAA,3144,LHR,507,Y,0,777 AA,24,MAD,1229,BOS,3448,,0,330 AA,24,MAD,1229,DFW,3670,,0,777 AA,24,MAD,1229,JFK,3797,,0,757 330 340 AA,24,MAD,1229,LAX,3484,Y,0,340 AA,24,MAD,1229,MIA,3576,,0,763 330 340 AA,24,MAD,1229,ORD,3830,,0,330 AA,24,MAD,1229,PHL,3752,,0,333 AA,24,MAF,3652,DFW,3670,Y,0,CRJ ERD ER4 AA,24,MAN,478,HEL,421,Y,0,E70 AA,24,MAN,478,JFK,3797,,0,757 AA,24,MAN,478,LHR,507,Y,0,319 320 321 AA,24,MAN,478,ORD,3830,,0,763 AA,24,MAN,478,PHL,3752,,0,332 AA,24,MAO,2551,MIA,3576,,0,738 763 AA,24,MAR,2848,MIA,3576,,0,757 AA,24,MBJ,1780,CLT,3876,,0,319 321 320 AA,24,MBJ,1780,DFW,3670,,0,738 AA,24,MBJ,1780,MIA,3576,,0,738 757 AA,24,MBJ,1780,ORD,3830,,0,738 AA,24,MBJ,1780,PHL,3752,,0,320 319 321 AA,24,MCI,3458,CLT,3876,,0,319 AA,24,MCI,3458,DCA,3520,Y,0,E75 E70 AA,24,MCI,3458,DFW,3670,,0,M83 M80 AA,24,MCI,3458,ORD,3830,Y,0,E75 ER4 CR7 ERD AA,24,MCI,3458,PHL,3752,Y,0,E75 E70 CRJ AA,24,MCI,3458,PHX,3462,,0,319 AA,24,MCI,3458,SEA,3577,Y,0,737 AA,24,MCO,3878,CLT,3876,,0,321 757 767 319 AA,24,MCO,3878,DCA,3520,,0,319 320 AA,24,MCO,3878,DFW,3670,,0,738 M83 M80 757 AA,24,MCO,3878,GRU,2564,,0,320 AA,24,MCO,3878,JFK,3797,,0,763 757 AA,24,MCO,3878,LAX,3484,,0,757 738 AA,24,MCO,3878,LGW,502,Y,0,777 AA,24,MCO,3878,MIA,3576,,0,757 738 AA,24,MCO,3878,ORD,3830,,0,738 M83 M80 AA,24,MCO,3878,PHL,3752,,0,321 767 757 320 332 AA,24,MCO,3878,PHX,3462,,0,321 320 AA,24,MCO,3878,SAN,3731,Y,0,737 AA,24,MCO,3878,SEA,3577,Y,0,737 AA,24,MCO,3878,YYZ,193,,0,737 AA,24,MCT,2194,AUH,2179,Y,0,777 AA,24,MDE,2745,MIA,3576,,0,738 AA,24,MDT,3542,BOS,3448,,0,DH3 AA,24,MDT,3542,CLT,3876,,0,319 CR7 CRJ AA,24,MDT,3542,ORD,3830,Y,0,CR7 ERD AA,24,MDT,3542,PHL,3752,,0,DH3 AA,24,MEL,3339,ADL,3341,Y,0,737 AA,24,MEL,3339,BNE,3320,Y,0,737 AA,24,MEL,3339,CBR,3355,Y,0,737 AA,24,MEL,3339,LAX,3484,Y,0,380 AA,24,MEL,3339,PER,3351,Y,0,330 737 AA,24,MEL,3339,SYD,3361,Y,0,737 763 AA,24,MEM,3473,CLT,3876,,0,319 CR7 AA,24,MEM,3473,DCA,3520,Y,0,CRJ AA,24,MEM,3473,DFW,3670,,0,319 AA,24,MEM,3473,MIA,3576,Y,0,ER4 AA,24,MEM,3473,ORD,3830,Y,0,CR7 ER4 ERD AA,24,MEX,1824,CLT,3876,,0,319 AA,24,MEX,1824,DFW,3670,,0,M80 M83 AA,24,MEX,1824,LAX,3484,Y,0,737 AA,24,MEX,1824,MIA,3576,,0,738 AA,24,MEX,1824,ORD,3830,,0,738 AA,24,MEX,1824,PHX,3462,,0,319 AA,24,MFE,3826,DFW,3670,,0,M83 M80 319 AA,24,MFR,4101,LAX,3484,Y,0,DH4 AA,24,MGA,1863,MIA,3576,,0,738 AA,24,MGM,4115,CLT,3876,Y,0,CRJ AA,24,MGM,4115,DFW,3670,Y,0,ERD ER4 AA,24,MHH,1930,MIA,3576,Y,0,ERD AA,24,MHK,4050,DFW,3670,Y,0,ERD ER4 AA,24,MHK,4050,ORD,3830,Y,0,ERD ER4 AA,24,MHT,4011,CLT,3876,Y,0,CR9 AA,24,MHT,4011,DCA,3520,,0,CRJ AA,24,MHT,4011,PHL,3752,Y,0,E70 E75 CRJ AA,24,MIA,3576,ANU,2874,,0,738 AA,24,MIA,3576,ASU,2699,,0,757 AA,24,MIA,3576,ATL,3682,,0,738 AA,24,MIA,3576,AUA,2895,,0,738 AA,24,MIA,3576,BCN,1218,,0,763 AA,24,MIA,3576,BDA,4069,,0,738 AA,24,MIA,3576,BDL,3825,,0,738 AA,24,MIA,3576,BGI,2875,,0,757 AA,24,MIA,3576,BHM,3811,Y,0,ER4 AA,24,MIA,3576,BNA,3690,,0,738 AA,24,MIA,3576,BOG,2709,,0,763 757 AA,24,MIA,3576,BOS,3448,,0,757 738 AA,24,MIA,3576,BSB,2531,,0,763 757 AA,24,MIA,3576,BWI,3849,,0,738 AA,24,MIA,3576,BZE,1957,,0,738 AA,24,MIA,3576,CCS,2851,,0,757 763 738 AA,24,MIA,3576,CDG,1382,,0,763 AA,24,MIA,3576,CHS,3806,Y,0,ER4 AA,24,MIA,3576,CLE,3486,Y,0,ER4 AA,24,MIA,3576,CLO,2715,,0,738 AA,24,MIA,3576,CLT,3876,,0,319 321 320 737 AA,24,MIA,3576,CMH,3759,Y,0,ER4 AA,24,MIA,3576,CNF,2537,,0,763 AA,24,MIA,3576,CUN,1852,,0,738 757 AA,24,MIA,3576,CUR,2897,,0,738 AA,24,MIA,3576,CVG,3488,Y,0,ER4 AA,24,MIA,3576,CWB,2545,,0,763 AA,24,MIA,3576,CZM,1800,,0,738 AA,24,MIA,3576,DCA,3520,,0,738 AA,24,MIA,3576,DEN,3751,,0,738 AA,24,MIA,3576,DFW,3670,,0,738 757 AA,24,MIA,3576,DTW,3645,,0,738 AA,24,MIA,3576,DUS,345,Y,0,330 AA,24,MIA,3576,ELH,1943,Y,0,ER4 AA,24,MIA,3576,EWR,3494,,0,738 757 AA,24,MIA,3576,EYW,3875,Y,0,ERD AA,24,MIA,3576,EZE,3988,,0,777 AA,24,MIA,3576,FDF,2878,,0,738 AA,24,MIA,3576,FPO,1948,Y,0,ER4 ERD AA,24,MIA,3576,GCM,1926,,0,738 AA,24,MIA,3576,GGT,1941,Y,0,ER4 AA,24,MIA,3576,GIG,2560,,0,763 AA,24,MIA,3576,GND,2882,,0,738 AA,24,MIA,3576,GNV,3472,Y,0,ER4 AA,24,MIA,3576,GRU,2564,,0,773 777 AA,24,MIA,3576,GSO,4008,Y,0,ER4 AA,24,MIA,3576,GUA,1767,,0,738 AA,24,MIA,3576,GYE,2673,,0,738 763 757 AA,24,MIA,3576,IAD,3714,,0,738 AA,24,MIA,3576,IAH,3550,,0,738 AA,24,MIA,3576,IND,3585,Y,0,ER4 AA,24,MIA,3576,JAX,3712,Y,0,ER4 ERD AA,24,MIA,3576,JFK,3797,,0,763 757 738 AA,24,MIA,3576,KIN,1779,,0,738 AA,24,MIA,3576,LAS,3877,,0,738 757 AA,24,MIA,3576,LAX,3484,,0,777 763 757 738 AA,24,MIA,3576,LGA,3697,,0,738 AA,24,MIA,3576,LHR,507,,0,77W 777 AA,24,MIA,3576,LIM,2789,,0,763 757 AA,24,MIA,3576,LIR,1881,,0,738 AA,24,MIA,3576,LPB,2762,,0,757 AA,24,MIA,3576,LRM,1759,Y,0,ER4 AA,24,MIA,3576,MAD,1229,,0,330 763 340 AA,24,MIA,3576,MAO,2551,,0,763 738 AA,24,MIA,3576,MAR,2848,,0,757 AA,24,MIA,3576,MBJ,1780,,0,738 757 AA,24,MIA,3576,MCO,3878,,0,757 738 AA,24,MIA,3576,MDE,2745,,0,738 AA,24,MIA,3576,MEM,3473,Y,0,ER4 AA,24,MIA,3576,MEX,1824,,0,738 AA,24,MIA,3576,MGA,1863,,0,738 AA,24,MIA,3576,MHH,1930,Y,0,ERD AA,24,MIA,3576,MSP,3858,,0,738 AA,24,MIA,3576,MSY,3861,,0,738 AA,24,MIA,3576,MVD,2816,,0,763 AA,24,MIA,3576,MXP,1524,,0,763 AA,24,MIA,3576,NAS,1953,Y,0,ER4 ERD AA,24,MIA,3576,ORD,3830,,0,738 763 AA,24,MIA,3576,ORF,3611,Y,0,ER4 AA,24,MIA,3576,PAP,1897,,0,738 763 757 AA,24,MIA,3576,PHL,3752,,0,320 738 321 757 AA,24,MIA,3576,PHX,3462,,0,738 AA,24,MIA,3576,PIT,3570,Y,0,ER4 AA,24,MIA,3576,PLS,1754,,0,757 AA,24,MIA,3576,PNS,3564,Y,0,ER4 AA,24,MIA,3576,POP,1761,,0,757 AA,24,MIA,3576,POS,2902,,0,757 AA,24,MIA,3576,PTP,2881,,0,738 AA,24,MIA,3576,PTY,1871,,0,738 AA,24,MIA,3576,PUJ,1760,,0,738 757 AA,24,MIA,3576,RDU,3626,,0,738 AA,24,MIA,3576,REC,2610,,0,757 AA,24,MIA,3576,RIC,3608,Y,0,ER4 AA,24,MIA,3576,RTB,1774,,0,738 AA,24,MIA,3576,SAL,1892,,0,738 AA,24,MIA,3576,SAN,3731,,0,738 AA,24,MIA,3576,SAP,1772,,0,738 AA,24,MIA,3576,SCL,2650,,0,763 AA,24,MIA,3576,SDF,4014,Y,0,ER4 AA,24,MIA,3576,SDQ,1762,,0,757 763 AA,24,MIA,3576,SEA,3577,,0,757 AA,24,MIA,3576,SFO,3469,,0,763 757 738 AA,24,MIA,3576,SJO,1885,,0,757 738 AA,24,MIA,3576,SJU,2890,,0,738 757 AA,24,MIA,3576,SKB,2891,,0,738 AA,24,MIA,3576,SSA,2621,,0,757 AA,24,MIA,3576,STI,1764,,0,757 738 AA,24,MIA,3576,STL,3678,,0,738 AA,24,MIA,3576,STT,2883,,0,757 AA,24,MIA,3576,STX,2884,,0,738 AA,24,MIA,3576,SXM,2899,,0,757 738 AA,24,MIA,3576,TGU,1776,,0,757 AA,24,MIA,3576,TLH,3698,Y,0,ER4 ERD AA,24,MIA,3576,TPA,3646,,0,738 AA,24,MIA,3576,TUL,3855,,0,738 AA,24,MIA,3576,TXL,351,Y,0,330 AA,24,MIA,3576,UIO,2688,,0,757 AA,24,MIA,3576,UVF,2894,,0,757 AA,24,MIA,3576,YUL,146,,0,738 AA,24,MIA,3576,YYZ,193,,0,738 AA,24,MKE,3717,CLT,3876,Y,0,CRJ CR7 CR9 AA,24,MKE,3717,DFW,3670,,0,M80 M83 AA,24,MKE,3717,ORD,3830,Y,0,CRJ AA,24,MKE,3717,PHL,3752,Y,0,CRJ AA,24,MKE,3717,PHX,3462,,0,320 319 AA,24,MLB,3671,CLT,3876,,0,CRJ AA,24,MLI,4072,DFW,3670,Y,0,ERD ER4 AA,24,MLI,4072,ORD,3830,Y,0,ER4 ERD AA,24,MLM,1821,DFW,3670,Y,0,ER4 AA,24,MLU,3732,DFW,3670,Y,0,ER4 CRJ AA,24,MMH,7081,LAX,3484,Y,0,DH4 AA,24,MOB,3782,CLT,3876,Y,0,CRJ AA,24,MOB,3782,DFW,3670,Y,0,ER4 CRJ AA,24,MQT,3675,ORD,3830,Y,0,ER4 AA,24,MRS,1353,LHR,507,Y,0,319 AA,24,MRY,3948,LAX,3484,Y,0,CRJ AA,24,MRY,3948,PHX,3462,Y,0,CRJ AA,24,MSN,3459,DFW,3670,Y,0,ER4 CRJ AA,24,MSN,3459,ORD,3830,Y,0,ER4 ERD AA,24,MSP,3858,CLT,3876,,0,319 320 321 AA,24,MSP,3858,DCA,3520,Y,0,E75 E70 AA,24,MSP,3858,DFW,3670,,0,M80 M83 738 AA,24,MSP,3858,MIA,3576,,0,738 AA,24,MSP,3858,ORD,3830,Y,0,E75 CR7 AA,24,MSP,3858,PHL,3752,,0,319 E90 AA,24,MSP,3858,PHX,3462,,0,320 321 319 AA,24,MSY,3861,AUS,3673,,0, AA,24,MSY,3861,CLT,3876,Y,0,319 320 E75 CR9 E70 AA,24,MSY,3861,DCA,3520,Y,0,E75 E70 319 AA,24,MSY,3861,DFW,3670,,0,M80 M83 AA,24,MSY,3861,MIA,3576,,0,738 AA,24,MSY,3861,ORD,3830,Y,0,E75 AA,24,MSY,3861,PHL,3752,Y,0,319 E90 E75 AA,24,MTY,1825,DFW,3670,,0,M80 M83 AA,24,MUC,346,LHR,507,Y,0,321 320 319 AA,24,MUC,346,PHL,3752,,0,333 AA,24,MVD,2816,MIA,3576,,0,763 AA,24,MXP,1524,JFK,3797,,0,763 AA,24,MXP,1524,LHR,507,Y,0,319 320 AA,24,MXP,1524,MIA,3576,,0,763 AA,24,MYR,3515,CLT,3876,,0,DH8 CR7 CR9 AA,24,MYR,3515,DCA,3520,Y,0,CRJ AA,24,MYR,3515,PHL,3752,Y,0,CRJ E75 AA,24,MZT,1826,DFW,3670,Y,0,ERD ER4 AA,24,MZT,1826,PHX,3462,,0,320 319 AA,24,NAN,1960,LAX,3484,Y,0,330 AA,24,NAS,1953,CLT,3876,,0,319 737 AA,24,NAS,1953,DCA,3520,,0,319 AA,24,NAS,1953,DFW,3670,,0,738 AA,24,NAS,1953,MIA,3576,Y,0,ER4 ERD AA,24,NAS,1953,PHL,3752,,0,319 320 AA,24,NBO,4059,LHR,507,Y,0,744 AA,24,NCE,1354,LHR,507,Y,0,319 320 321 AA,24,NCL,521,LHR,507,Y,0,319 321 320 AA,24,NGO,3942,HNL,3728,,0,777 AA,24,NGO,3942,NRT,2279,,0,787 AA,24,NRT,2279,BKK,3885,,0,763 AA,24,NRT,2279,BOS,3448,,0,787 AA,24,NRT,2279,CTS,2287,,0,773 AA,24,NRT,2279,DFW,3670,,0,777 AA,24,NRT,2279,FUK,2305,,0,737 AA,24,NRT,2279,HAN,3199,,0,763 AA,24,NRT,2279,HKG,3077,,0,763 AA,24,NRT,2279,HNL,3728,,0,787 777 AA,24,NRT,2279,ICN,3930,,0,737 AA,24,NRT,2279,ITM,2334,,0,737 773 AA,24,NRT,2279,JFK,3797,,0,773 787 AA,24,NRT,2279,KHH,2264,,0,763 AA,24,NRT,2279,KUL,3304,,0,763 AA,24,NRT,2279,LAX,3484,,0,777 773 AA,24,NRT,2279,NGO,3942,,0,787 AA,24,NRT,2279,ORD,3830,,0,773 777 AA,24,NRT,2279,PUS,2372,,0,737 AA,24,NRT,2279,SAN,3731,,0,787 AA,24,NRT,2279,SGN,3205,,0,763 AA,24,NRT,2279,SIN,3316,,0,763 AA,24,NRT,2279,TPE,2276,,0,737 AA,24,NRT,2279,YVR,156,,0,787 AA,24,OAJ,4386,CLT,3876,,0,DH8 CR7 AA,24,OAJ,4386,DCA,3520,Y,0,CRJ AA,24,OAK,3453,HNL,3728,Y,0,737 AA,24,OAK,3453,KOA,3514,Y,0,737 AA,24,OAK,3453,LIH,3602,Y,0,737 AA,24,OAK,3453,OGG,3456,Y,0,737 AA,24,OAK,3453,PDX,3720,Y,0,DH4 AA,24,OAK,3453,PHX,3462,,0,319 CR9 AA,24,OAK,3453,SEA,3577,Y,0,737 AA,24,OGG,3456,DFW,3670,,0,763 AA,24,OGG,3456,LAX,3484,,0,757 AA,24,OGG,3456,OAK,3453,Y,0,737 AA,24,OGG,3456,PHX,3462,,0,757 AA,24,OGG,3456,SJC,3748,Y,0,737 AA,24,OGG,3456,SMF,3817,Y,0,737 AA,24,OKC,3863,DFW,3670,,0,M80 M83 AA,24,OKC,3863,LAX,3484,Y,0,CR7 AA,24,OKC,3863,ORD,3830,Y,0,CR7 ER4 AA,24,OMA,3454,CLT,3876,Y,0,CR9 AA,24,OMA,3454,DCA,3520,Y,0,E70 AA,24,OMA,3454,DFW,3670,,0,M80 M83 AA,24,OMA,3454,ORD,3830,Y,0,E75 ER4 CR7 AA,24,OMA,3454,PHX,3462,,0,319 AA,24,ONT,3734,DFW,3670,,0,M80 M83 AA,24,ONT,3734,PDX,3720,Y,0,CR7 AA,24,ONT,3734,PHX,3462,,0,320 319 AA,24,ONT,3734,SEA,3577,Y,0,737 AA,24,ORD,3830,ABQ,4019,Y,0,E75 AA,24,ORD,3830,ALO,5718,Y,0,ERD AA,24,ORD,3830,AMM,2170,Y,0,340 AA,24,ORD,3830,ART,3838,Y,0,ERD AA,24,ORD,3830,ATL,3682,Y,0,E75 CR7 AA,24,ORD,3830,AUH,2179,Y,0,777 AA,24,ORD,3830,AUS,3673,,0,M80 M83 AA,24,ORD,3830,AZO,4039,Y,0,ER4 ERD AA,24,ORD,3830,BDL,3825,Y,0,ER4 E75 AA,24,ORD,3830,BMI,4037,Y,0,ER4 ERD AA,24,ORD,3830,BNA,3690,Y,0,ER4 ERD CR7 E75 AA,24,ORD,3830,BOS,3448,,0,738 AA,24,ORD,3830,BUF,3820,Y,0,ER4 CR7 E75 AA,24,ORD,3830,BWI,3849,Y,0,E75 ER4 CR7 AA,24,ORD,3830,CDG,1382,,0,763 AA,24,ORD,3830,CHA,3578,Y,0,ER4 ERD AA,24,ORD,3830,CHO,4015,Y,0,CRJ AA,24,ORD,3830,CID,4043,Y,0,ER4 AA,24,ORD,3830,CLE,3486,Y,0,ER4 CR7 ERD AA,24,ORD,3830,CLT,3876,,0,321 320 E90 319 AA,24,ORD,3830,CMH,3759,Y,0,ER4 CR7 ERD AA,24,ORD,3830,CMI,4049,Y,0,ER4 ERD AA,24,ORD,3830,COU,3719,Y,0,ER4 ERD AA,24,ORD,3830,CUN,1852,,0,738 AA,24,ORD,3830,CVG,3488,Y,0,ER4 AA,24,ORD,3830,CWA,4045,Y,0,ERD ER4 AA,24,ORD,3830,DAY,3627,Y,0,ER4 AA,24,ORD,3830,DBQ,4388,Y,0,ERD ER4 AA,24,ORD,3830,DCA,3520,,0,738 M83 M80 AA,24,ORD,3830,DEN,3751,,0,M80 M83 AA,24,ORD,3830,DFW,3670,,0,M80 M83 738 AA,24,ORD,3830,DOH,11051,,0,777 AA,24,ORD,3830,DSM,3729,Y,0,ERD ER4 E75 AA,24,ORD,3830,DTW,3645,Y,0,ERD E75 ER4 CR7 AA,24,ORD,3830,DUB,599,,0,763 AA,24,ORD,3830,DUS,345,,0,763 AA,24,ORD,3830,ELP,3559,Y,0,E75 AA,24,ORD,3830,EVV,4018,Y,0,ER4 ERD AA,24,ORD,3830,EWR,3494,Y,0,CR7 E75 AA,24,ORD,3830,FAR,4292,Y,0,ER4 AA,24,ORD,3830,FCO,1555,,0,763 AA,24,ORD,3830,FLL,3533,,0,738 AA,24,ORD,3830,FNT,4089,Y,0,ER4 ERD AA,24,ORD,3830,FSD,4009,Y,0,ER4 ERD AA,24,ORD,3830,FWA,4041,Y,0,ERD ER4 AA,24,ORD,3830,GRB,3653,Y,0,ER4 AA,24,ORD,3830,GRR,3685,Y,0,ER4 ERD AA,24,ORD,3830,HKG,3077,Y,0,773 AA,24,ORD,3830,HPN,3589,Y,0,ERD AA,24,ORD,3830,HSV,4113,Y,0,ER4 AA,24,ORD,3830,IAH,3550,Y,0,CR7 AA,24,ORD,3830,ICT,3457,Y,0,CRJ AA,24,ORD,3830,IND,3585,Y,0,ER4 ERD E75 CR7 AA,24,ORD,3830,JAX,3712,Y,0,ER4 CR7 AA,24,ORD,3830,JFK,3797,,0,738 AA,24,ORD,3830,LAS,3877,,0,M83 738 AA,24,ORD,3830,LAX,3484,,0,738 AA,24,ORD,3830,LEX,4017,Y,0,ERD ER4 AA,24,ORD,3830,LGA,3697,,0,738 AA,24,ORD,3830,LHR,507,,0,763 777 AA,24,ORD,3830,LIT,3660,Y,0,ER4 CR7 AA,24,ORD,3830,LSE,4044,Y,0,ER4 ERD AA,24,ORD,3830,MAD,1229,,0,330 AA,24,ORD,3830,MAN,478,,0,763 AA,24,ORD,3830,MBJ,1780,,0,738 AA,24,ORD,3830,MCI,3458,Y,0,ER4 CR7 E75 ERD AA,24,ORD,3830,MCO,3878,,0,738 M83 M80 AA,24,ORD,3830,MDT,3542,Y,0,ERD CR7 AA,24,ORD,3830,MEM,3473,Y,0,CR7 ER4 ERD AA,24,ORD,3830,MEX,1824,,0,738 AA,24,ORD,3830,MHK,4050,Y,0,ERD ER4 AA,24,ORD,3830,MIA,3576,,0,738 763 AA,24,ORD,3830,MKE,3717,Y,0,CRJ AA,24,ORD,3830,MLI,4072,Y,0,ERD ER4 AA,24,ORD,3830,MQT,3675,Y,0,ER4 AA,24,ORD,3830,MSN,3459,Y,0,ER4 ERD AA,24,ORD,3830,MSP,3858,Y,0,E75 CR7 AA,24,ORD,3830,MSY,3861,Y,0,E75 AA,24,ORD,3830,NRT,2279,,0,773 777 AA,24,ORD,3830,OKC,3863,Y,0,ER4 CR7 AA,24,ORD,3830,OMA,3454,Y,0,E75 ER4 CR7 AA,24,ORD,3830,PBI,3722,,0,M83 738 M80 AA,24,ORD,3830,PDX,3720,,0,738 AA,24,ORD,3830,PEK,3364,,0,777 AA,24,ORD,3830,PHL,3752,,0,320 321 319 E90 AA,24,ORD,3830,PHX,3462,,0,321 738 M83 320 M80 AA,24,ORD,3830,PIA,4046,Y,0,ER4 ERD AA,24,ORD,3830,PIT,3570,Y,0,E75 CR7 ER4 AA,24,ORD,3830,PSP,3839,,0,M83 AA,24,ORD,3830,PVG,3406,,0,777 AA,24,ORD,3830,PVR,1836,,0,M83 AA,24,ORD,3830,RDU,3626,,0,738 M80 M83 AA,24,ORD,3830,RIC,3608,Y,0,ERD AA,24,ORD,3830,RNO,3807,,0,738 AA,24,ORD,3830,ROC,3622,Y,0,ERD ER4 AA,24,ORD,3830,RST,4048,Y,0,ERD ER4 AA,24,ORD,3830,RSW,3793,,0,M80 738 AA,24,ORD,3830,SAN,3731,,0,738 AA,24,ORD,3830,SAT,3621,Y,0,CR7 E75 AA,24,ORD,3830,SDF,4014,Y,0,ERD ER4 E75 AA,24,ORD,3830,SEA,3577,,0,738 AA,24,ORD,3830,SFO,3469,,0,738 AA,24,ORD,3830,SGF,4348,Y,0,ERD ER4 AA,24,ORD,3830,SJC,3748,,0,738 AA,24,ORD,3830,SJD,1840,,0,M83 738 AA,24,ORD,3830,SJU,2890,,0,738 AA,24,ORD,3830,SLC,3536,Y,0,E75 CR7 AA,24,ORD,3830,SNA,3867,,0,738 AA,24,ORD,3830,STL,3678,,0,M80 M83 738 AA,24,ORD,3830,SUX,3753,Y,0,ER4 ERD AA,24,ORD,3830,SYR,3745,Y,0,CR7 ER4 AA,24,ORD,3830,TOL,4040,Y,0,ERD ER4 AA,24,ORD,3830,TPA,3646,,0,M83 738 M80 AA,24,ORD,3830,TUL,3855,,0,738 AA,24,ORD,3830,TUS,3636,,0,M83 M80 AA,24,ORD,3830,TVC,4023,Y,0,ERD ER4 AA,24,ORD,3830,TXL,351,Y,0,330 AA,24,ORD,3830,TYS,3676,Y,0,ERD ER4 AA,24,ORD,3830,XNA,4356,Y,0,ER4 CR7 ERD AA,24,ORD,3830,YKF,79,Y,0,ER4 ERD AA,24,ORD,3830,YUL,146,Y,0,CRJ AA,24,ORD,3830,YVR,156,,0,737 AA,24,ORD,3830,YYC,178,,0,737 AA,24,ORD,3830,YYZ,193,Y,0,CR7 E75 ER4 AA,24,ORF,3611,CLT,3876,,0,319 AA,24,ORF,3611,DCA,3520,,0,DH3 AA,24,ORF,3611,DFW,3670,,0,M80 M83 AA,24,ORF,3611,JFK,3797,Y,0,ER4 AA,24,ORF,3611,LGA,3697,Y,0,ERD AA,24,ORF,3611,MIA,3576,Y,0,ER4 AA,24,ORF,3611,PHL,3752,,0,DH3 AA,24,ORY,1386,EWR,3494,Y,0,757 AA,24,ORY,1386,JFK,3797,Y,0,757 AA,24,OSL,644,LHR,507,Y,0,319 320 AA,24,OTP,1657,LHR,507,Y,0,320 AA,24,PAP,1897,FLL,3533,,0,738 AA,24,PAP,1897,JFK,3797,,0,763 AA,24,PAP,1897,MIA,3576,,0,738 763 757 AA,24,PBC,1831,DFW,3670,Y,0,ERD AA,24,PBI,3722,CLT,3876,,0,737 320 319 AA,24,PBI,3722,DCA,3520,Y,0,E75 E70 AA,24,PBI,3722,DFW,3670,,0,738 AA,24,PBI,3722,LAX,3484,,0,738 AA,24,PBI,3722,LGA,3697,,0,738 AA,24,PBI,3722,ORD,3830,,0,M83 738 M80 AA,24,PBI,3722,PHL,3752,,0,E90 319 AA,24,PDX,3720,BOS,3448,Y,0,737 AA,24,PDX,3720,BUR,3644,Y,0,CR7 AA,24,PDX,3720,CLT,3876,,0,320 AA,24,PDX,3720,DCA,3520,Y,0,737 AA,24,PDX,3720,DFW,3670,,0,M83 AA,24,PDX,3720,LAX,3484,Y,0,737 AA,24,PDX,3720,LGB,3582,Y,0,CR7 AA,24,PDX,3720,OAK,3453,Y,0,DH4 AA,24,PDX,3720,ONT,3734,Y,0,CR7 AA,24,PDX,3720,ORD,3830,,0,738 AA,24,PDX,3720,PHL,3752,,0,320 AA,24,PDX,3720,PHX,3462,,0,321 320 319 AA,24,PDX,3720,SAN,3731,Y,0,737 AA,24,PDX,3720,SFO,3469,Y,0,DH4 737 AA,24,PDX,3720,SJC,3748,Y,0,737 DH4 AA,24,PDX,3720,SNA,3867,Y,0,737 AA,24,PDX,3720,YVR,156,,0,DH4 AA,24,PEK,3364,ORD,3830,,0,777 AA,24,PEK,3364,SEA,3577,Y,0,787 AA,24,PEN,3308,KUL,3304,,0,737 AA,24,PER,3351,BNE,3320,Y,0,330 737 AA,24,PER,3351,MEL,3339,Y,0,330 737 AA,24,PER,3351,SYD,3361,Y,0,330 737 AA,24,PGV,6959,CLT,3876,,0,DH8 AA,24,PHF,3633,CLT,3876,Y,0,CR7 CRJ AA,24,PHF,3633,PHL,3752,,0,DH3 AA,24,PHL,3752,ABE,4355,,0,DH3 AA,24,PHL,3752,ALB,3864,,0,DH3 AA,24,PHL,3752,AMS,580,,0,757 AA,24,PHL,3752,ART,3838,Y,0,CRJ AA,24,PHL,3752,ATH,3941,,0,332 AA,24,PHL,3752,ATL,3682,Y,0,E90 319 CRJ AA,24,PHL,3752,AUA,2895,,0,320 AA,24,PHL,3752,AUS,3673,,0,319 E90 AA,24,PHL,3752,AVP,4286,,0,DH3 AA,24,PHL,3752,BCN,1218,,0,332 AA,24,PHL,3752,BDA,4069,,0,319 AA,24,PHL,3752,BDL,3825,,0,DH3 E90 AA,24,PHL,3752,BGM,4129,,0,DH3 AA,24,PHL,3752,BGR,3463,Y,0,E75 CRJ AA,24,PHL,3752,BHM,3811,Y,0,CRJ AA,24,PHL,3752,BNA,3690,Y,0,CRJ E75 E70 AA,24,PHL,3752,BOS,3448,,0,E90 319 321 320 AA,24,PHL,3752,BRU,302,,0,767 AA,24,PHL,3752,BTV,3711,,0,E90 AA,24,PHL,3752,BUF,3820,,0,DH3 AA,24,PHL,3752,BWI,3849,,0,DH3 319 E90 AA,24,PHL,3752,CAE,3561,Y,0,CRJ AA,24,PHL,3752,CAK,4112,Y,0,CRJ AA,24,PHL,3752,CDG,1382,,0,332 AA,24,PHL,3752,CHO,4015,,0,DH3 AA,24,PHL,3752,CHS,3806,Y,0,E75 CRJ AA,24,PHL,3752,CLE,3486,Y,0,CRJ E70 CR9 E75 AA,24,PHL,3752,CLT,3876,,0,757 321 E90 737 767 332 319 320 AA,24,PHL,3752,CMH,3759,Y,0,CRJ E75 E70 AA,24,PHL,3752,CUN,1852,,0,757 332 321 319 AA,24,PHL,3752,CVG,3488,,0,CRJ AA,24,PHL,3752,DAY,3627,,0,CRJ AA,24,PHL,3752,DCA,3520,,0,CRJ DH3 319 E90 AA,24,PHL,3752,DEN,3751,,0,321 320 AA,24,PHL,3752,DFW,3670,,0,M83 319 320 738 M80 E90 757 AA,24,PHL,3752,DOH,11051,,0,777 AA,24,PHL,3752,DTW,3645,,0,E90 320 319 AA,24,PHL,3752,DUB,599,,0,332 AA,24,PHL,3752,ELM,3946,,0,DH3 AA,24,PHL,3752,ERI,4276,,0,DH3 AA,24,PHL,3752,EWR,3494,,0,DH3 AA,24,PHL,3752,FCO,1555,,0,333 AA,24,PHL,3752,FLL,3533,,0,320 319 AA,24,PHL,3752,FRA,340,,0,332 767 AA,24,PHL,3752,GCM,1926,,0,319 AA,24,PHL,3752,GLA,534,,0,757 AA,24,PHL,3752,GSO,4008,Y,0,CRJ E75 AA,24,PHL,3752,GSP,4034,Y,0,CRJ AA,24,PHL,3752,HPN,3589,,0,DH3 AA,24,PHL,3752,HVN,4006,,0,DH3 AA,24,PHL,3752,IAH,3550,,0,E90 AA,24,PHL,3752,ILM,3845,Y,0,CRJ E75 AA,24,PHL,3752,IND,3585,,0,E90 319 AA,24,PHL,3752,IPT,3584,,0,DH3 AA,24,PHL,3752,ISP,3857,,0,DH3 AA,24,PHL,3752,ITH,3947,,0,DH3 AA,24,PHL,3752,JAX,3712,,0,E90 AA,24,PHL,3752,LAS,3877,,0,321 320 AA,24,PHL,3752,LAX,3484,,0,321 320 AA,24,PHL,3752,LGA,3697,,0,DH3 E90 319 AA,24,PHL,3752,LHR,507,,0,333 AA,24,PHL,3752,LIS,1638,,0,757 AA,24,PHL,3752,MAD,1229,,0,333 AA,24,PHL,3752,MAN,478,,0,332 AA,24,PHL,3752,MBJ,1780,,0,320 319 321 AA,24,PHL,3752,MCI,3458,Y,0,E70 E75 CRJ AA,24,PHL,3752,MCO,3878,,0,767 321 757 320 332 AA,24,PHL,3752,MDT,3542,,0,DH3 AA,24,PHL,3752,MHT,4011,Y,0,CRJ E75 E70 AA,24,PHL,3752,MIA,3576,,0,738 321 757 320 AA,24,PHL,3752,MKE,3717,Y,0,CRJ AA,24,PHL,3752,MSP,3858,,0,E90 319 AA,24,PHL,3752,MSY,3861,Y,0,319 E90 E75 AA,24,PHL,3752,MUC,346,,0,333 AA,24,PHL,3752,MYR,3515,,0,CRJ AA,24,PHL,3752,NAS,1953,,0,319 320 AA,24,PHL,3752,ORD,3830,,0,320 319 321 E90 AA,24,PHL,3752,ORF,3611,,0,DH3 AA,24,PHL,3752,PBI,3722,,0,319 E90 AA,24,PHL,3752,PDX,3720,,0,320 AA,24,PHL,3752,PHF,3633,,0,DH3 AA,24,PHL,3752,PHX,3462,,0,321 757 AA,24,PHL,3752,PIT,3570,,0,319 E90 320 AA,24,PHL,3752,PLS,1754,,0,319 AA,24,PHL,3752,PUJ,1760,,0,319 332 320 AA,24,PHL,3752,PVD,3641,,0,E90 DH3 AA,24,PHL,3752,PWM,3862,,0,E90 AA,24,PHL,3752,RDU,3626,,0,319 E90 AA,24,PHL,3752,RIC,3608,,0,DH3 AA,24,PHL,3752,ROA,4016,,0,DH3 AA,24,PHL,3752,ROC,3622,,0,DH3 AA,24,PHL,3752,RSW,3793,,0,319 E90 320 AA,24,PHL,3752,SAN,3731,,0,320 AA,24,PHL,3752,SAT,3621,,0,E90 AA,24,PHL,3752,SAV,3613,Y,0,E75 E70 CRJ AA,24,PHL,3752,SBY,3642,,0,DH3 AA,24,PHL,3752,SCE,4318,,0,DH3 AA,24,PHL,3752,SDF,4014,Y,0,CRJ CR9 AA,24,PHL,3752,SDQ,1762,,0,320 AA,24,PHL,3752,SEA,3577,,0,320 321 AA,24,PHL,3752,SFO,3469,,0,320 321 AA,24,PHL,3752,SJU,2890,,0,767 757 320 AA,24,PHL,3752,SLC,3536,,0,320 AA,24,PHL,3752,STL,3678,,0,CRJ AA,24,PHL,3752,STT,2883,,0,757 AA,24,PHL,3752,SWF,3661,,0,DH3 AA,24,PHL,3752,SXM,2899,,0,332 AA,24,PHL,3752,SYR,3745,,0,DH3 AA,24,PHL,3752,TLV,1590,,0,332 AA,24,PHL,3752,TPA,3646,,0,321 320 319 737 AA,24,PHL,3752,TYS,3676,Y,0,CRJ AA,24,PHL,3752,VCE,1551,,0,332 AA,24,PHL,3752,YHZ,73,Y,0,E70 CRJ E75 AA,24,PHL,3752,YOW,100,Y,0,CRJ AA,24,PHL,3752,YQB,111,Y,0,CRJ AA,24,PHL,3752,YUL,146,Y,0,CRJ AA,24,PHL,3752,YYZ,193,Y,0,CRJ E75 AA,24,PHL,3752,ZRH,1678,,0,767 AA,24,PHX,3462,ABQ,4019,Y,0,CR9 CRJ AA,24,PHX,3462,ANC,3774,,0,320 AA,24,PHX,3462,ATL,3682,Y,0,321 320 AA,24,PHX,3462,AUS,3673,,0,319 CR9 AA,24,PHX,3462,BFL,3558,Y,0,CR9 CRJ AA,24,PHX,3462,BOI,3495,,0,319 AA,24,PHX,3462,BOS,3448,,0,320 319 AA,24,PHX,3462,BUR,3644,Y,0,CR9 CRJ AA,24,PHX,3462,BWI,3849,,0,321 319 320 AA,24,PHX,3462,CLT,3876,,0,321 320 AA,24,PHX,3462,CMH,3759,,0,320 319 AA,24,PHX,3462,CUN,1852,,0,757 320 321 AA,24,PHX,3462,DCA,3520,,0,757 320 319 AA,24,PHX,3462,DEN,3751,,0,320 321 AA,24,PHX,3462,DFW,3670,,0,M80 M83 319 738 321 320 AA,24,PHX,3462,DRO,3713,Y,0,CRJ CR9 AA,24,PHX,3462,DSM,3729,,0,319 AA,24,PHX,3462,DTW,3645,,0,321 319 AA,24,PHX,3462,ELP,3559,Y,0,CR9 CRJ AA,24,PHX,3462,EWR,3494,,0,320 AA,24,PHX,3462,FAT,3687,Y,0,CR9 CRJ AA,24,PHX,3462,FLG,4261,Y,0,CRJ AA,24,PHX,3462,FLL,3533,,0,320 319 AA,24,PHX,3462,GDL,1804,Y,0,CR9 CRJ AA,24,PHX,3462,GEG,3467,,0,319 AA,24,PHX,3462,GJT,4063,Y,0,CRJ AA,24,PHX,3462,HNL,3728,,0,757 AA,24,PHX,3462,IAH,3550,,0,319 321 320 AA,24,PHX,3462,IND,3585,,0,320 319 AA,24,PHX,3462,JFK,3797,,0,321 AA,24,PHX,3462,KOA,3514,,0,757 AA,24,PHX,3462,LAS,3877,,0,321 320 319 AA,24,PHX,3462,LAX,3484,,0,321 319 320 AA,24,PHX,3462,LGB,3582,,0,319 AA,24,PHX,3462,LHR,507,Y,0,744 AA,24,PHX,3462,LIH,3602,,0,757 AA,24,PHX,3462,MCI,3458,,0,319 AA,24,PHX,3462,MCO,3878,,0,320 321 AA,24,PHX,3462,MEX,1824,,0,319 AA,24,PHX,3462,MIA,3576,,0,738 AA,24,PHX,3462,MKE,3717,,0,319 AA,24,PHX,3462,MRY,3948,Y,0,CRJ AA,24,PHX,3462,MSP,3858,,0,320 321 319 AA,24,PHX,3462,MZT,1826,,0,320 319 AA,24,PHX,3462,OAK,3453,,0,319 AA,24,PHX,3462,OGG,3456,,0,757 AA,24,PHX,3462,OMA,3454,,0,319 AA,24,PHX,3462,ONT,3734,,0,319 320 AA,24,PHX,3462,ORD,3830,,0,M83 320 321 738 AA,24,PHX,3462,PDX,3720,,0,319 320 321 AA,24,PHX,3462,PHL,3752,,0,757 321 AA,24,PHX,3462,PIT,3570,,0,319 320 AA,24,PHX,3462,PSP,3839,Y,0,CR9 CRJ AA,24,PHX,3462,PVR,1836,,0,320 319 321 AA,24,PHX,3462,RNO,3807,,0,319 320 AA,24,PHX,3462,SAN,3731,,0,320 321 AA,24,PHX,3462,SAT,3621,Y,0,CR9 AA,24,PHX,3462,SBA,3949,Y,0,CRJ CR9 AA,24,PHX,3462,SBP,5768,Y,0,CR9 CRJ AA,24,PHX,3462,SEA,3577,,0,320 321 AA,24,PHX,3462,SFO,3469,,0,320 321 AA,24,PHX,3462,SJC,3748,,0,319 320 AA,24,PHX,3462,SJD,1840,,0,320 319 757 321 AA,24,PHX,3462,SLC,3536,,0,319 321 320 AA,24,PHX,3462,SMF,3817,,0,319 320 321 AA,24,PHX,3462,SNA,3867,,0,319 320 321 AA,24,PHX,3462,STL,3678,,0,319 AA,24,PHX,3462,TPA,3646,,0,320 AA,24,PHX,3462,TUS,3636,Y,0,CR9 CRJ AA,24,PHX,3462,YEG,49,,0,319 320 737 AA,24,PHX,3462,YUM,3596,Y,0,CRJ AA,24,PHX,3462,YVR,156,,0,319 321 AA,24,PHX,3462,YYC,178,,0,319 737 AA,24,PHX,3462,ZIH,1856,,0,320 AA,24,PIA,4046,DFW,3670,Y,0,ER4 AA,24,PIA,4046,ORD,3830,Y,0,ER4 ERD AA,24,PIT,3570,BDL,3825,Y,0,ER4 AA,24,PIT,3570,BOS,3448,Y,0,E70 CRJ AA,24,PIT,3570,CLT,3876,,0,319 737 321 320 AA,24,PIT,3570,DCA,3520,Y,0,E75 E70 CRJ AA,24,PIT,3570,DFW,3670,,0,M80 AA,24,PIT,3570,JFK,3797,Y,0,ER4 AA,24,PIT,3570,LAX,3484,,0,738 AA,24,PIT,3570,LGA,3697,Y,0,E75 CRJ AA,24,PIT,3570,MIA,3576,Y,0,ER4 AA,24,PIT,3570,ORD,3830,Y,0,E75 CR7 ER4 AA,24,PIT,3570,PHL,3752,,0,320 319 E90 AA,24,PIT,3570,PHX,3462,,0,319 320 AA,24,PIT,3570,RDU,3626,Y,0,ER4 AA,24,PIT,3570,STL,3678,Y,0,ER4 AA,24,PLS,1754,CLT,3876,,0,321 AA,24,PLS,1754,DFW,3670,,0,738 AA,24,PLS,1754,MIA,3576,,0,757 AA,24,PLS,1754,PHL,3752,,0,319 AA,24,PMC,2665,PUQ,2647,Y,0,320 AA,24,PNS,3564,CLT,3876,,0,CR9 AA,24,PNS,3564,DCA,3520,Y,0,CRJ AA,24,PNS,3564,DFW,3670,,0,M83 M80 AA,24,PNS,3564,MIA,3576,Y,0,ER4 AA,24,POA,2599,MIA,3576,,0,763 AA,24,POP,1761,MIA,3576,,0,757 AA,24,POS,2902,MIA,3576,,0,757 AA,24,PPT,4075,AKL,2006,Y,0,340 AA,24,PPT,4075,LAX,3484,Y,0,340 AA,24,PRG,1587,LHR,507,Y,0,320 AA,24,PSA,1562,LHR,507,Y,0,320 321 AA,24,PSP,3839,DFW,3670,,0,M83 M80 AA,24,PSP,3839,ORD,3830,,0,M83 AA,24,PSP,3839,PHX,3462,Y,0,CRJ CR9 AA,24,PSP,3839,SFO,3469,Y,0,737 AA,24,PTP,2881,MIA,3576,,0,738 AA,24,PTP,2881,SJU,2890,,0,SF3 AA,24,PTY,1871,DFW,3670,,0,738 AA,24,PTY,1871,MIA,3576,,0,738 AA,24,PUJ,1760,CLT,3876,,0,319 757 321 320 AA,24,PUJ,1760,MIA,3576,,0,738 757 AA,24,PUJ,1760,PHL,3752,,0,319 332 320 AA,24,PUS,2372,NRT,2279,,0,737 AA,24,PVD,3641,CLT,3876,,0,320 321 319 AA,24,PVD,3641,DCA,3520,Y,0,E75 CRJ E70 AA,24,PVD,3641,PHL,3752,,0,E90 DH3 AA,24,PVG,3406,LAX,3484,,0,777 AA,24,PVG,3406,ORD,3830,,0,777 AA,24,PVR,1836,DFW,3670,,0,M80 M83 AA,24,PVR,1836,ORD,3830,,0,M83 AA,24,PVR,1836,PHX,3462,,0,320 319 321 AA,24,PVR,1836,SAN,3731,Y,0,737 AA,24,PVR,1836,SFO,3469,Y,0,737 AA,24,QRO,1838,DFW,3670,Y,0,ERD AA,24,RAP,4087,DFW,3670,Y,0,CRJ ER4 AA,24,RDM,4103,LAX,3484,Y,0,CRJ AA,24,RDU,3626,CLT,3876,,0,321 320 737 319 E90 AA,24,RDU,3626,DCA,3520,Y,0,CRJ ERD AA,24,RDU,3626,DFW,3670,,0,M83 M80 738 AA,24,RDU,3626,JFK,3797,Y,0,ERD CR7 AA,24,RDU,3626,LAX,3484,,0,738 AA,24,RDU,3626,LGA,3697,Y,0,CR7 ERD AA,24,RDU,3626,LHR,507,,0,763 AA,24,RDU,3626,MIA,3576,,0,738 AA,24,RDU,3626,ORD,3830,,0,M80 738 AA,24,RDU,3626,PHL,3752,,0,E90 319 AA,24,RDU,3626,PIT,3570,Y,0,ER4 AA,24,REC,2610,MIA,3576,,0,757 AA,24,RIC,3608,BOS,3448,Y,0,CRJ AA,24,RIC,3608,CLT,3876,,0,319 AA,24,RIC,3608,DFW,3670,,0,M80 M83 AA,24,RIC,3608,LGA,3697,Y,0,ERD AA,24,RIC,3608,MIA,3576,Y,0,ER4 AA,24,RIC,3608,ORD,3830,Y,0,ERD AA,24,RIC,3608,PHL,3752,,0,DH3 AA,24,RNO,3807,DFW,3670,,0,M83 738 AA,24,RNO,3807,LAX,3484,Y,0,CRJ AA,24,RNO,3807,ORD,3830,,0,738 AA,24,RNO,3807,PHX,3462,,0,319 320 AA,24,ROA,4016,CLT,3876,,0,DH8 DH3 AA,24,ROA,4016,LGA,3697,Y,0,ERD AA,24,ROA,4016,PHL,3752,,0,DH3 AA,24,ROC,3622,BOS,3448,Y,0,CRJ AA,24,ROC,3622,CLT,3876,,0,319 AA,24,ROC,3622,DCA,3520,Y,0,CRJ E70 AA,24,ROC,3622,ORD,3830,Y,0,ERD ER4 AA,24,ROC,3622,PHL,3752,,0,DH3 AA,24,ROW,3736,DFW,3670,Y,0,ERD AA,24,RST,4048,ORD,3830,Y,0,ERD ER4 AA,24,RSW,3793,CLT,3876,,0,321 320 319 737 AA,24,RSW,3793,DCA,3520,Y,0,E75 E70 AA,24,RSW,3793,DFW,3670,,0,738 AA,24,RSW,3793,DUS,345,Y,0,330 AA,24,RSW,3793,ORD,3830,,0,738 M80 AA,24,RSW,3793,PHL,3752,,0,319 E90 320 AA,24,RTB,1774,DFW,3670,,0,738 AA,24,RTB,1774,MIA,3576,,0,738 AA,24,RTM,591,LHR,507,Y,0,319 AA,24,SAF,3784,DFW,3670,Y,0,ER4 ERD AA,24,SAF,3784,LAX,3484,Y,0,CRJ AA,24,SAL,1892,DFW,3670,,0,738 AA,24,SAL,1892,MIA,3576,,0,738 AA,24,SAN,3731,BOS,3448,Y,0,737 AA,24,SAN,3731,CLT,3876,,0,320 321 AA,24,SAN,3731,DCA,3520,,0,319 AA,24,SAN,3731,DFW,3670,,0,M83 M80 738 757 AA,24,SAN,3731,JFK,3797,,0,738 AA,24,SAN,3731,LAX,3484,Y,0,CRJ CR7 AA,24,SAN,3731,LHR,507,Y,0,777 AA,24,SAN,3731,MCO,3878,Y,0,737 AA,24,SAN,3731,MIA,3576,,0,738 AA,24,SAN,3731,NRT,2279,,0,787 AA,24,SAN,3731,ORD,3830,,0,738 AA,24,SAN,3731,PDX,3720,Y,0,737 AA,24,SAN,3731,PHL,3752,,0,320 AA,24,SAN,3731,PHX,3462,,0,321 320 AA,24,SAN,3731,PVR,1836,Y,0,737 AA,24,SAN,3731,SEA,3577,Y,0,737 AA,24,SAN,3731,STS,6992,Y,0,DH4 AA,24,SAN,3731,YYC,178,,0,737 AA,24,SAP,1772,MIA,3576,,0,738 AA,24,SAT,3621,CLT,3876,,0,319 AA,24,SAT,3621,DFW,3670,,0,M80 M83 AA,24,SAT,3621,ORD,3830,Y,0,E75 CR7 AA,24,SAT,3621,PHL,3752,,0,E90 AA,24,SAT,3621,PHX,3462,Y,0,CR9 AA,24,SAV,3613,CLT,3876,,0,CRJ AA,24,SAV,3613,DCA,3520,Y,0,CRJ AA,24,SAV,3613,DFW,3670,Y,0,ER4 AA,24,SAV,3613,PHL,3752,Y,0,E75 E70 CRJ AA,24,SBA,3949,PHX,3462,Y,0,CR9 CRJ AA,24,SBP,5768,PHX,3462,Y,0,CR9 CRJ AA,24,SBY,3642,CLT,3876,,0,DH8 AA,24,SBY,3642,PHL,3752,,0,DH3 AA,24,SCE,4318,PHL,3752,,0,DH3 AA,24,SCL,2650,DFW,3670,,0,763 AA,24,SCL,2650,JFK,3797,Y,0,787 AA,24,SCL,2650,LIM,2789,Y,0,763 AA,24,SCL,2650,MIA,3576,,0,763 AA,24,SCL,2650,PMC,2665,Y,0,320 AA,24,SCY,6045,GYE,2673,Y,0,319 AA,24,SDF,4014,CLT,3876,,0,319 AA,24,SDF,4014,DCA,3520,Y,0,CRJ E75 AA,24,SDF,4014,DFW,3670,,0,M80 M83 319 AA,24,SDF,4014,LGA,3697,Y,0,ERD AA,24,SDF,4014,MIA,3576,Y,0,ER4 AA,24,SDF,4014,ORD,3830,Y,0,ERD ER4 E75 AA,24,SDF,4014,PHL,3752,Y,0,CR9 CRJ AA,24,SDQ,1762,MIA,3576,,0,757 763 AA,24,SDQ,1762,PHL,3752,,0,320 AA,24,SEA,3577,BOS,3448,Y,0,737 AA,24,SEA,3577,BUR,3644,Y,0,737 AA,24,SEA,3577,CLT,3876,,0,320 321 319 AA,24,SEA,3577,DEN,3751,Y,0,737 AA,24,SEA,3577,DFW,3670,,0,738 757 AA,24,SEA,3577,EWR,3494,Y,0,737 AA,24,SEA,3577,JFK,3797,,0,738 AA,24,SEA,3577,KTN,3808,Y,0,737 AA,24,SEA,3577,LAX,3484,Y,0,737 AA,24,SEA,3577,LGB,3582,Y,0,CR7 AA,24,SEA,3577,LHR,507,,0,777 AA,24,SEA,3577,MCI,3458,Y,0,737 AA,24,SEA,3577,MCO,3878,Y,0,737 AA,24,SEA,3577,MIA,3576,,0,757 AA,24,SEA,3577,OAK,3453,Y,0,737 AA,24,SEA,3577,ONT,3734,Y,0,737 AA,24,SEA,3577,ORD,3830,,0,738 AA,24,SEA,3577,PEK,3364,Y,0,787 AA,24,SEA,3577,PHL,3752,,0,320 321 AA,24,SEA,3577,PHX,3462,,0,321 320 AA,24,SEA,3577,SAN,3731,Y,0,737 AA,24,SEA,3577,SFO,3469,Y,0,737 AA,24,SEA,3577,SJC,3748,Y,0,737 AA,24,SEA,3577,SMF,3817,Y,0,737 AA,24,SEA,3577,SNA,3867,Y,0,737 AA,24,SEA,3577,STL,3678,Y,0,737 AA,24,SEA,3577,YVR,156,Y,0,DH4 AA,24,SFO,3469,CLT,3876,,0,321 AA,24,SFO,3469,DFW,3670,,0,738 757 763 AA,24,SFO,3469,HKG,3077,Y,0,773 744 AA,24,SFO,3469,HND,2359,,0,787 AA,24,SFO,3469,JFK,3797,,0,763 32B AA,24,SFO,3469,LAX,3484,,0,738 AA,24,SFO,3469,LHR,507,Y,0,744 AA,24,SFO,3469,MIA,3576,,0,757 763 738 AA,24,SFO,3469,ORD,3830,,0,738 AA,24,SFO,3469,PDX,3720,Y,0,737 DH4 AA,24,SFO,3469,PHL,3752,,0,320 321 AA,24,SFO,3469,PHX,3462,,0,321 320 AA,24,SFO,3469,PSP,3839,Y,0,737 AA,24,SFO,3469,PVR,1836,Y,0,737 AA,24,SFO,3469,SEA,3577,Y,0,737 AA,24,SGF,4348,DFW,3670,Y,0,ER4 ERD AA,24,SGF,4348,ORD,3830,Y,0,ER4 ERD AA,24,SGN,3205,NRT,2279,,0,763 AA,24,SHV,3609,DFW,3670,Y,0,CRJ ERD ER4 AA,24,SIN,3316,KUL,3304,,0,737 AA,24,SIN,3316,NRT,2279,,0,763 AA,24,SJC,3748,DFW,3670,,0,M83 AA,24,SJC,3748,GDL,1804,Y,0,737 AA,24,SJC,3748,HNL,3728,Y,0,737 AA,24,SJC,3748,KOA,3514,Y,0,737 AA,24,SJC,3748,LAX,3484,Y,0,CRJ CR7 AA,24,SJC,3748,LIH,3602,Y,0,737 AA,24,SJC,3748,OGG,3456,Y,0,737 AA,24,SJC,3748,ORD,3830,,0,738 AA,24,SJC,3748,PDX,3720,Y,0,737 DH4 AA,24,SJC,3748,PHX,3462,,0,320 319 AA,24,SJC,3748,SEA,3577,Y,0,737 AA,24,SJD,1840,CLT,3876,,0,320 AA,24,SJD,1840,DFW,3670,,0,M80 M83 AA,24,SJD,1840,LAX,3484,,0,M83 738 AA,24,SJD,1840,ORD,3830,,0,M83 738 AA,24,SJD,1840,PHX,3462,,0,320 319 757 321 AA,24,SJO,1885,CLT,3876,,0,319 AA,24,SJO,1885,DFW,3670,,0,757 AA,24,SJO,1885,JFK,3797,,0,738 AA,24,SJO,1885,MIA,3576,,0,757 738 AA,24,SJT,3708,DFW,3670,Y,0,ER4 CRJ ERD AA,24,SJU,2890,CCS,2851,,0,738 AA,24,SJU,2890,CLT,3876,,0,321 AA,24,SJU,2890,DFW,3670,,0,757 AA,24,SJU,2890,DOM,2877,,0,SF3 AA,24,SJU,2890,EIS,2903,,0,SF3 AA,24,SJU,2890,FDF,2878,,0,SF3 AA,24,SJU,2890,JFK,3797,,0,757 AA,24,SJU,2890,MIA,3576,,0,738 757 AA,24,SJU,2890,ORD,3830,,0,738 AA,24,SJU,2890,PHL,3752,,0,757 767 320 AA,24,SJU,2890,PTP,2881,,0,SF3 AA,24,SJU,2890,VIJ,6080,,0,DHT AA,24,SJU,2890,VQS,6788,,0,DHT AA,24,SKB,2891,MIA,3576,,0,738 AA,24,SLC,3536,CLT,3876,,0,320 AA,24,SLC,3536,DFW,3670,,0,M80 M83 AA,24,SLC,3536,LAX,3484,Y,0,CRJ CR7 AA,24,SLC,3536,ORD,3830,Y,0,E75 CR7 AA,24,SLC,3536,PHL,3752,,0,320 AA,24,SLC,3536,PHX,3462,,0,320 319 321 AA,24,SLP,1842,DFW,3670,Y,0,ERD AA,24,SMF,3817,CLT,3876,,0,321 AA,24,SMF,3817,DFW,3670,,0,M83 AA,24,SMF,3817,LAX,3484,Y,0,CRJ AA,24,SMF,3817,OGG,3456,Y,0,737 AA,24,SMF,3817,PHX,3462,,0,320 319 321 AA,24,SMF,3817,SEA,3577,Y,0,737 AA,24,SNA,3867,DFW,3670,,0,738 AA,24,SNA,3867,ORD,3830,,0,738 AA,24,SNA,3867,PDX,3720,Y,0,737 AA,24,SNA,3867,PHX,3462,,0,320 319 321 AA,24,SNA,3867,SEA,3577,Y,0,737 AA,24,SOF,1194,LHR,507,Y,0,320 AA,24,SPS,3680,DFW,3670,Y,0,ERD ER4 CRJ AA,24,SRQ,4067,CLT,3876,Y,0,CR9 E75 AA,24,SRQ,4067,DCA,3520,Y,0,CRJ AA,24,SSA,2621,MIA,3576,,0,757 AA,24,STI,1764,MIA,3576,,0,757 738 AA,24,STL,3678,CLT,3876,,0,319 AA,24,STL,3678,DCA,3520,Y,0,CR7 AA,24,STL,3678,DFW,3670,,0,M83 M80 738 AA,24,STL,3678,LAX,3484,,0,M83 AA,24,STL,3678,LGA,3697,Y,0,CR7 AA,24,STL,3678,MIA,3576,,0,738 AA,24,STL,3678,ORD,3830,,0,M80 M83 738 AA,24,STL,3678,PHL,3752,Y,0,E75 CRJ E70 AA,24,STL,3678,PHX,3462,,0,319 AA,24,STL,3678,PIT,3570,Y,0,ER4 AA,24,STL,3678,SEA,3577,Y,0,737 AA,24,STR,350,LHR,507,Y,0,319 320 AA,24,STS,6992,LAX,3484,Y,0,DH4 AA,24,STS,6992,SAN,3731,Y,0,DH4 AA,24,STT,2883,CLT,3876,,0,757 767 AA,24,STT,2883,JFK,3797,,0,757 AA,24,STT,2883,MIA,3576,,0,757 AA,24,STT,2883,PHL,3752,,0,757 AA,24,STX,2884,MIA,3576,,0,738 AA,24,SUX,3753,ORD,3830,Y,0,ERD ER4 AA,24,SVG,666,LHR,507,Y,0,319 AA,24,SWF,3661,PHL,3752,,0,DH3 AA,24,SXM,2899,CLT,3876,,0,757 319 AA,24,SXM,2899,JFK,3797,,0,757 AA,24,SXM,2899,MIA,3576,,0,757 738 AA,24,SXM,2899,PHL,3752,,0,332 AA,24,SYD,3361,ADL,3341,Y,0,737 AA,24,SYD,3361,AKL,2006,Y,0,737 AA,24,SYD,3361,ASP,3319,Y,0,737 AA,24,SYD,3361,BNE,3320,Y,0,737 763 AA,24,SYD,3361,CBR,3355,Y,0,737 AA,24,SYD,3361,CHC,2009,Y,0,737 AA,24,SYD,3361,CNS,3322,Y,0,763 737 AA,24,SYD,3361,DFW,3670,Y,0,744 AA,24,SYD,3361,DRW,3999,Y,0,737 AA,24,SYD,3361,HNL,3728,Y,0,763 AA,24,SYD,3361,LAX,3484,Y,0,744 380 AA,24,SYD,3361,MEL,3339,,0,737 AA,24,SYD,3361,PER,3351,Y,0,330 763 AA,24,SYR,3745,BOS,3448,,0,DH3 AA,24,SYR,3745,CLT,3876,,0,320 319 AA,24,SYR,3745,DCA,3520,Y,0,E70 CRJ AA,24,SYR,3745,ORD,3830,Y,0,CR7 ER4 AA,24,SYR,3745,PHL,3752,,0,DH3 AA,24,TGU,1776,MIA,3576,,0,757 AA,24,TLH,3698,CLT,3876,Y,0,CR7 CRJ AA,24,TLH,3698,DCA,3520,Y,0,CRJ AA,24,TLH,3698,DFW,3670,Y,0,ERD ER4 AA,24,TLH,3698,MIA,3576,Y,0,ERD ER4 AA,24,TLS,1273,LHR,507,Y,0,320 319 AA,24,TLV,1590,PHL,3752,,0,332 AA,24,TOL,4040,ORD,3830,Y,0,ER4 ERD AA,24,TPA,3646,CLT,3876,,0,320 737 321 319 AA,24,TPA,3646,DCA,3520,,0,319 AA,24,TPA,3646,DFW,3670,,0,738 M83 M80 AA,24,TPA,3646,JFK,3797,Y,0,CR7 AA,24,TPA,3646,LGW,502,Y,0,777 AA,24,TPA,3646,MIA,3576,,0,738 AA,24,TPA,3646,ORD,3830,,0,738 M83 M80 AA,24,TPA,3646,PHL,3752,,0,737 321 319 320 AA,24,TPA,3646,PHX,3462,,0,320 AA,24,TPE,2276,NRT,2279,,0,737 AA,24,TRC,1845,DFW,3670,Y,0,ER4 AA,24,TRI,4116,CLT,3876,,0,DH3 DH8 AA,24,TSV,3330,BNE,3320,Y,0,737 AA,24,TUL,3855,DFW,3670,,0,M80 738 M83 757 AA,24,TUL,3855,MIA,3576,,0,738 AA,24,TUL,3855,ORD,3830,,0,738 AA,24,TUS,3636,DFW,3670,,0,M80 M83 AA,24,TUS,3636,LAX,3484,Y,0,CRJ AA,24,TUS,3636,ORD,3830,,0,M83 M80 AA,24,TUS,3636,PHX,3462,Y,0,CR9 CRJ AA,24,TVC,4023,ORD,3830,Y,0,ERD ER4 AA,24,TXK,3770,DFW,3670,Y,0,ERD ER4 AA,24,TXL,351,JFK,3797,Y,0,330 AA,24,TXL,351,LHR,507,Y,0,320 319 321 AA,24,TXL,351,MIA,3576,Y,0,330 AA,24,TXL,351,ORD,3830,Y,0,330 AA,24,TYR,3848,DFW,3670,Y,0,ERD ER4 CRJ AA,24,TYS,3676,CLT,3876,Y,0,CR7 CRJ AA,24,TYS,3676,DCA,3520,Y,0,CRJ AA,24,TYS,3676,DFW,3670,Y,0,ER4 CRJ ERD AA,24,TYS,3676,LGA,3697,Y,0,ERD AA,24,TYS,3676,ORD,3830,Y,0,ERD ER4 AA,24,TYS,3676,PHL,3752,Y,0,CRJ AA,24,UIO,2688,GYE,2673,Y,0,319 AA,24,UIO,2688,MIA,3576,,0,757 AA,24,UVF,2894,CLT,3876,,0,320 319 AA,24,UVF,2894,MIA,3576,,0,757 AA,24,VCE,1551,LHR,507,Y,0,320 319 AA,24,VCE,1551,PHL,3752,,0,332 AA,24,VIE,1613,LHR,507,Y,0,320 AA,24,VIJ,6080,SJU,2890,,0,DHT AA,24,VPS,3873,CLT,3876,Y,0,CRJ CR7 AA,24,VPS,3873,DCA,3520,Y,0,CRJ AA,24,VPS,3873,DFW,3670,Y,0,CRJ ER4 ERD AA,24,VQS,6788,SJU,2890,,0,DHT AA,24,VVI,2771,MIA,3576,,0,757 AA,24,WAW,679,LHR,507,Y,0,320 AA,24,XNA,4356,CLT,3876,Y,0,CR7 CRJ AA,24,XNA,4356,DFW,3670,,0,M80 AA,24,XNA,4356,LAX,3484,Y,0,CR7 AA,24,XNA,4356,LGA,3697,Y,0,CR7 AA,24,XNA,4356,ORD,3830,Y,0,CR7 ER4 ERD AA,24,YEG,49,DFW,3670,,0,319 AA,24,YEG,49,LAS,3877,,0,737 AA,24,YEG,49,LAX,3484,,0,737 AA,24,YEG,49,PHX,3462,,0,320 319 737 AA,24,YHZ,73,DCA,3520,Y,0,CRJ AA,24,YHZ,73,PHL,3752,Y,0,E70 CRJ E75 AA,24,YKF,79,ORD,3830,Y,0,ER4 ERD AA,24,YOW,100,CLT,3876,Y,0,CRJ AA,24,YOW,100,PHL,3752,Y,0,CRJ AA,24,YQB,111,PHL,3752,Y,0,CRJ AA,24,YUL,146,AMM,2170,Y,0,330 AA,24,YUL,146,CLT,3876,Y,0,CRJ AA,24,YUL,146,DCA,3520,Y,0,CRJ AA,24,YUL,146,DFW,3670,,0,738 AA,24,YUL,146,DTW,3645,Y,0,330 AA,24,YUL,146,JFK,3797,Y,0,ERD AA,24,YUL,146,LGA,3697,Y,0,ERD AA,24,YUL,146,LHR,507,Y,0,777 AA,24,YUL,146,MIA,3576,,0,738 AA,24,YUL,146,ORD,3830,Y,0,CRJ AA,24,YUL,146,PHL,3752,Y,0,CRJ AA,24,YUM,3596,PHX,3462,Y,0,CRJ AA,24,YVR,156,DFW,3670,,0,738 AA,24,YVR,156,LAS,3877,,0,737 AA,24,YVR,156,LAX,3484,,0,737 AA,24,YVR,156,LHR,507,Y,0,744 AA,24,YVR,156,NRT,2279,,0,787 AA,24,YVR,156,ORD,3830,,0,737 AA,24,YVR,156,PDX,3720,Y,0,DH4 AA,24,YVR,156,PHX,3462,,0,321 319 AA,24,YVR,156,SEA,3577,Y,0,DH4 AA,24,YYC,178,DFW,3670,,0,M83 M80 738 AA,24,YYC,178,JFK,3797,,0,737 AA,24,YYC,178,LAS,3877,,0,737 AA,24,YYC,178,LAX,3484,,0,737 AA,24,YYC,178,LHR,507,Y,0,767 AA,24,YYC,178,ORD,3830,,0,737 AA,24,YYC,178,PHX,3462,,0,319 737 AA,24,YYC,178,SAN,3731,,0,737 AA,24,YYZ,193,CLT,3876,Y,0,E75 CRJ AA,24,YYZ,193,DCA,3520,Y,0,CRJ AA,24,YYZ,193,DFW,3670,,0,319 AA,24,YYZ,193,JFK,3797,Y,0,CR7 AA,24,YYZ,193,LAS,3877,,0,737 AA,24,YYZ,193,LAX,3484,,0,738 AA,24,YYZ,193,LGA,3697,Y,0,CR7 AA,24,YYZ,193,LHR,507,Y,0,787 744 AA,24,YYZ,193,MCO,3878,,0,737 AA,24,YYZ,193,MIA,3576,,0,738 AA,24,YYZ,193,ORD,3830,Y,0,E75 CR7 ER4 AA,24,YYZ,193,PHL,3752,Y,0,E75 CRJ AA,24,ZAG,1208,LHR,507,Y,0,319 320 AA,24,ZCL,1855,DFW,3670,Y,0,ERD AA,24,ZIH,1856,PHX,3462,,0,320 AA,24,ZRH,1678,JFK,3797,,0,763 AA,24,ZRH,1678,LHR,507,Y,0,320 319 AA,24,ZRH,1678,PHL,3752,,0,767 AB,214,ACE,1055,CGN,344,,0,738 AB,214,ACE,1055,DUS,345,,0,738 321 332 AB,214,ACE,1055,FUE,1051,,0,321 320 AB,214,ACE,1055,HAM,342,,0,320 AB,214,ACE,1055,LEJ,348,,0,738 AB,214,ACE,1055,MUC,346,,0,738 AB,214,ACE,1055,TXL,351,,0,321 AB,214,ACE,1055,ZRH,1678,,0,320 AB,214,AGP,1230,CGN,344,,0,738 AB,214,AGP,1230,DUS,345,,0,332 321 AB,214,AGP,1230,HAM,342,,0,320 738 321 AB,214,AGP,1230,MUC,346,,0,738 320 AB,214,AGP,1230,PMI,3998,,0,320 321 AB,214,AGP,1230,STR,350,,0,320 738 AB,214,AGP,1230,TXL,351,,0,321 AB,214,AGP,1230,VIE,1613,Y,0,321 320 AB,214,ALC,1212,DUS,345,,0,321 332 AB,214,ALC,1212,FRA,340,,0,320 AB,214,ALC,1212,HAM,342,,0,320 AB,214,ALC,1212,MUC,346,,0,320 738 AB,214,ALC,1212,PMI,3998,,0,321 320 AB,214,ALC,1212,STR,350,,0,320 738 AB,214,ALC,1212,TXL,351,,0,320 73G AB,214,ALC,1212,ZRH,1678,,0,320 321 AB,214,AMM,2170,FRA,340,Y,0,319 AB,214,AMM,2170,MUC,346,Y,0,319 AB,214,AMM,2170,TXL,351,Y,0,320 319 AB,214,AMM,2170,VIE,1613,Y,0,320 319 AB,214,ARN,737,TXL,351,,0,321 738 320 319 AB,214,ARN,737,VIE,1613,Y,0,E90 AB,214,AUH,2179,BAH,2057,Y,0,320 333 346 AB,214,AUH,2179,DUS,345,,0,332 AB,214,AUH,2179,FRA,340,Y,0,332 333 AB,214,AUH,2179,HKT,3179,,0,332 AB,214,AUH,2179,MUC,346,Y,0,346 345 333 AB,214,AUH,2179,PEK,3364,Y,0,332 AB,214,AUH,2179,SIN,3316,Y,0,332 AB,214,AUH,2179,TXL,351,,0,332 AB,214,AYT,1688,CGN,344,,0,738 AB,214,AYT,1688,DRS,338,,0,738 AB,214,AYT,1688,DUS,345,,0,321 320 AB,214,AYT,1688,FMO,341,,0,738 AB,214,AYT,1688,HAM,342,,0,320 738 AB,214,AYT,1688,LEJ,348,,0,738 AB,214,AYT,1688,MUC,346,,0,321 AB,214,AYT,1688,NUE,347,,0,738 AB,214,AYT,1688,PAD,371,,0,738 AB,214,AYT,1688,STR,350,,0,738 320 AB,214,AYT,1688,TXL,351,,0,320 321 738 AB,214,BAH,2057,AUH,2179,Y,0,320 333 346 AB,214,BCN,1218,DUS,345,,0,738 321 AB,214,BCN,1218,TXL,351,,0,738 320 321 AB,214,BCN,1218,VIE,1613,Y,0,320 321 AB,214,BDS,1506,MUC,346,,0,321 73G 738 AB,214,BDS,1506,ZRH,1678,,0,320 AB,214,BEG,1739,DUS,345,,0,319 AB,214,BEG,1739,FRA,340,,0,319 AB,214,BEG,1739,STR,350,,0,733 319 AB,214,BEG,1739,TXL,351,,0,319 AB,214,BIO,1216,PMI,3998,,0,320 738 AB,214,BKK,3885,CNX,3931,Y,0,319 AB,214,BNE,3320,SIN,3316,Y,0,332 AB,214,BRE,353,PMI,3998,,0,320 738 319 AB,214,BRI,1501,TXL,351,,0,738 320 AB,214,BSL,1423,CTA,1509,,0,320 319 AB,214,BSL,1423,HER,1452,,0,320 AB,214,BSL,1423,IBZ,1225,,0,320 AB,214,BSL,1423,LHR,507,Y,0,319 320 321 AB,214,BSL,1423,LPA,1054,,0,320 AB,214,BSL,1423,PMI,3998,,0,320 738 AB,214,BSL,1423,TFS,1056,,0,320 AB,214,BUD,1489,TXL,351,,0,73G 319 AB,214,CAG,1519,DUS,345,,0,738 AB,214,CAG,1519,MUC,346,,0,320 738 AB,214,CDG,1382,VIE,1613,Y,0,320 AB,214,CFU,1460,CGN,344,,0,738 AB,214,CFU,1460,DUS,345,,0,321 738 AB,214,CFU,1460,FMO,341,,0,738 AB,214,CFU,1460,FRA,340,,0,320 AB,214,CFU,1460,HAM,342,,0,320 AB,214,CFU,1460,MUC,346,,0,320 AB,214,CFU,1460,TXL,351,,0,320 321 AB,214,CFU,1460,VIE,1613,,0,320 AB,214,CGN,344,ACE,1055,,0,738 AB,214,CGN,344,AGP,1230,,0,738 AB,214,CGN,344,AYT,1688,,0,738 AB,214,CGN,344,CFU,1460,,0,738 AB,214,CGN,344,CLY,1322,,0,73G AB,214,CGN,344,FUE,1051,,0,738 AB,214,CGN,344,HRG,1130,,0,738 AB,214,CGN,344,IBZ,1225,,0,738 AB,214,CGN,344,KGS,1458,,0,738 73G AB,214,CGN,344,LPA,1054,,0,738 AB,214,CGN,344,MAH,1231,,0,738 AB,214,CGN,344,MUC,346,,0,73G AB,214,CGN,344,NBE,7447,,0,738 AB,214,CGN,344,OLB,1520,,0,738 AB,214,CGN,344,PMI,3998,,0,332 738 320 AB,214,CGN,344,SAW,4317,,0,738 AB,214,CGN,344,TFS,1056,,0,738 AB,214,CGN,344,TXL,351,,0,73G 738 321 320 319 AB,214,CHQ,1474,VIE,1613,,0,320 AB,214,CLY,1322,CGN,344,,0,73G AB,214,CLY,1322,DUS,345,,0,73G AB,214,CLY,1322,FMM,3986,,0,320 AB,214,CLY,1322,SZG,1612,,0,320 AB,214,CPH,609,DUS,345,,0,319 320 DH4 738 AB,214,CPH,609,PMI,3998,,0,738 AB,214,CPH,609,TXL,351,,0,738 319 73G AB,214,CPH,609,VIE,1613,Y,0,E90 AB,214,CTA,1509,BSL,1423,,0,320 319 AB,214,CTA,1509,DUS,345,,0,321 738 320 AB,214,CTA,1509,FRA,340,,0,320 AB,214,CTA,1509,MUC,346,,0,320 321 738 AB,214,CTA,1509,STR,350,,0,738 320 AB,214,CTA,1509,TXL,351,,0,321 320 738 AB,214,CTA,1509,ZRH,1678,,0,320 319 AB,214,CUN,1852,DUS,345,,0,332 AB,214,CUR,2897,DUS,345,,0,332 AB,214,DFW,3670,FRA,340,Y,0,777 AB,214,DJE,293,DUS,345,,0,321 AB,214,DJE,293,NUE,347,,0,738 AB,214,DME,4029,DUS,345,,0,738 AB,214,DME,4029,FRA,340,Y,0,319 AB,214,DME,4029,MUC,346,,0,738 AB,214,DME,4029,TXL,351,,0,738 AB,214,DRS,338,AYT,1688,,0,738 AB,214,DRS,338,DUS,345,,0,DH4 319 73G AB,214,DRS,338,HER,1452,,0,738 AB,214,DRS,338,HRG,1130,,0,738 AB,214,DRS,338,NBE,7447,,0,738 AB,214,DRS,338,PMI,3998,,0,738 321 AB,214,DRS,338,RHO,1472,,0,738 AB,214,DRS,338,TFS,1056,,0,738 AB,214,DTM,373,PMI,3998,,0,738 AB,214,DUS,345,ACE,1055,,0,321 332 AB,214,DUS,345,AGP,1230,,0,332 321 AB,214,DUS,345,ALC,1212,,0,321 332 AB,214,DUS,345,AUH,2179,,0,332 AB,214,DUS,345,AYT,1688,,0,321 320 AB,214,DUS,345,BCN,1218,,0,738 321 AB,214,DUS,345,BEG,1739,,0,319 AB,214,DUS,345,CAG,1519,,0,738 AB,214,DUS,345,CFU,1460,,0,321 738 AB,214,DUS,345,CLY,1322,,0,73G AB,214,DUS,345,CPH,609,,0,319 320 DH4 738 AB,214,DUS,345,CTA,1509,,0,321 738 320 AB,214,DUS,345,CUN,1852,,0,332 AB,214,DUS,345,CUR,2897,,0,332 AB,214,DUS,345,DJE,293,,0,321 AB,214,DUS,345,DME,4029,,0,738 AB,214,DUS,345,DRS,338,,0,DH4 319 73G AB,214,DUS,345,FAO,1626,,0,321 320 AB,214,DUS,345,FCO,1555,,0,321 AB,214,DUS,345,FLR,1563,,0,DH4 AB,214,DUS,345,FNC,4091,,0,738 321 AB,214,DUS,345,FUE,1051,,0,738 332 321 AB,214,DUS,345,GCI,498,,0,DH4 AB,214,DUS,345,GWT,410,,0,DH4 319 738 320 AB,214,DUS,345,HAM,342,,0,320 319 DH4 738 AB,214,DUS,345,HEL,421,Y,0,E90 AB,214,DUS,345,HER,1452,,0,738 321 320 AB,214,DUS,345,HRG,1130,,0,738 332 AB,214,DUS,345,IBZ,1225,,0,321 738 332 AB,214,DUS,345,JER,499,,0,73G AB,214,DUS,345,JFK,3797,,0,332 AB,214,DUS,345,KGS,1458,,0,738 321 AB,214,DUS,345,KVA,1462,,0,738 AB,214,DUS,345,LAX,3484,,0,332 AB,214,DUS,345,LPA,1054,,0,332 AB,214,DUS,345,MAD,1229,,0,738 32A 321 AB,214,DUS,345,MAH,1231,,0,738 AB,214,DUS,345,MIA,3576,,0,332 AB,214,DUS,345,MJT,1469,,0,738 AB,214,DUS,345,MUC,346,,0,320 738 319 321 DH4 AB,214,DUS,345,MXP,1524,,0,73G 738 320 AB,214,DUS,345,NAP,1561,,0,738 320 AB,214,DUS,345,NBE,7447,,0,738 AB,214,DUS,345,NCE,1354,,0,319 320 738 AB,214,DUS,345,NUE,347,,0,DH4 AB,214,DUS,345,OLB,1520,,0,738 319 AB,214,DUS,345,ORD,3830,Y,0,763 AB,214,DUS,345,PDL,1633,,0,738 AB,214,DUS,345,PMI,3998,,0,332 738 321 320 AB,214,DUS,345,POP,1761,,0,332 AB,214,DUS,345,PUJ,1760,,0,332 AB,214,DUS,345,PVK,1470,,0,321 AB,214,DUS,345,RHO,1472,,0,738 AB,214,DUS,345,RIX,3953,Y,0,DH4 AB,214,DUS,345,RMF,4197,,0,321 AB,214,DUS,345,RSW,3793,,0,332 AB,214,DUS,345,SAW,4317,,0,738 AB,214,DUS,345,SKG,1486,,0,321 AB,214,DUS,345,SMI,1476,,0,320 AB,214,DUS,345,SPC,1053,,0,321 AB,214,DUS,345,STN,548,,0,DH4 AB,214,DUS,345,STR,350,,0,DH4 AB,214,DUS,345,SZG,1612,,0,DH4 AB,214,DUS,345,TFS,1056,,0,332 738 321 AB,214,DUS,345,TLV,1590,,0,321 738 AB,214,DUS,345,TXL,351,,0,738 319 320 73G 321 DH4 AB,214,DUS,345,VCE,1551,,0,738 320 321 AB,214,DUS,345,VIE,1613,,0,738 321 E90 320 319 AB,214,DUS,345,VRA,1923,,0,332 AB,214,DUS,345,ZRH,1678,,0,738 319 320 73G AB,214,DUS,345,ZTH,1488,,0,738 AB,214,FAO,1626,DUS,345,,0,321 320 AB,214,FAO,1626,HAM,342,,0,320 AB,214,FAO,1626,MUC,346,,0,738 AB,214,FAO,1626,PMI,3998,,0,738 320 AB,214,FAO,1626,TXL,351,,0,321 320 AB,214,FCO,1555,DUS,345,,0,321 AB,214,FCO,1555,TXL,351,,0,320 738 73G AB,214,FCO,1555,VIE,1613,,0,E90 AB,214,FDH,382,IBZ,1225,,0,320 AB,214,FDH,382,PMI,3998,,0,320 AB,214,FKB,4166,PMI,3998,,0,320 321 73G AB,214,FKB,4166,TXL,351,,0,73G 319 DH4 AB,214,FLR,1563,DUS,345,,0,DH4 AB,214,FLR,1563,STR,350,,0,DH4 AB,214,FLR,1563,VIE,1613,Y,0,DH4 AB,214,FMM,3986,CLY,1322,,0,320 AB,214,FMO,341,AYT,1688,,0,738 AB,214,FMO,341,CFU,1460,,0,738 AB,214,FMO,341,IBZ,1225,,0,738 AB,214,FMO,341,PMI,3998,,0,738 320 AB,214,FNC,4091,DUS,345,,0,738 321 AB,214,FNC,4091,LEJ,348,,0,738 AB,214,FNC,4091,MUC,346,,0,738 AB,214,FNC,4091,TXL,351,,0,332 321 AB,214,FNC,4091,VIE,1613,,0,321 AB,214,FNC,4091,ZRH,1678,,0,320 AB,214,FRA,340,ALC,1212,,0,320 AB,214,FRA,340,AMM,2170,Y,0,319 AB,214,FRA,340,AUH,2179,Y,0,332 333 AB,214,FRA,340,BEG,1739,,0,319 AB,214,FRA,340,CFU,1460,,0,320 AB,214,FRA,340,CTA,1509,,0,320 AB,214,FRA,340,DFW,3670,Y,0,777 AB,214,FRA,340,DME,4029,Y,0,319 AB,214,FRA,340,GCI,498,,0,DH4 AB,214,FRA,340,HEL,421,Y,0,E90 AB,214,FRA,340,IBZ,1225,,0,320 AB,214,FRA,340,LCY,503,Y,0,E70 E90 AR8 AB,214,FRA,340,LHR,507,Y,0,320 767 319 AB,214,FRA,340,MAD,1229,Y,0,32A AB,214,FRA,340,PMI,3998,,0,320 321 332 AB,214,FRA,340,RIX,3953,Y,0,735 DH4 73C AB,214,FRA,340,TXL,351,,0,320 738 73G 319 DH4 AB,214,FRA,340,VIE,1613,Y,0,E90 320 AB,214,FUE,1051,CGN,344,,0,738 AB,214,FUE,1051,DUS,345,,0,738 332 321 AB,214,FUE,1051,HAM,342,,0,738 AB,214,FUE,1051,LEJ,348,,0,738 AB,214,FUE,1051,MUC,346,,0,738 AB,214,FUE,1051,NUE,347,,0,738 AB,214,FUE,1051,SZG,1612,,0,320 AB,214,FUE,1051,TXL,351,,0,321 738 AB,214,FUE,1051,VIE,1613,,0,321 AB,214,FUE,1051,ZRH,1678,,0,320 AB,214,GCI,498,DUS,345,,0,DH4 AB,214,GCI,498,JER,499,,0,DH4 AB,214,GDN,668,TXL,351,,0,DH4 AB,214,GOT,687,TXL,351,,0,73G AB,214,GRZ,1609,HER,1452,,0,320 AB,214,GRZ,1609,PMI,3998,Y,0,320 AB,214,GRZ,1609,TFS,1056,,0,320 AB,214,GRZ,1609,TXL,351,,0,319 AB,214,GVA,1665,MAD,1229,Y,0,320 319 AB,214,GWT,410,DUS,345,,0,DH4 319 738 320 AB,214,GWT,410,MUC,346,,0,DH4 73G AB,214,GWT,410,STR,350,,0,DH4 73G AB,214,GWT,410,TXL,351,,0,DH4 AB,214,GWT,410,ZRH,1678,,0,73G DH4 AB,214,HAJ,352,IBZ,1225,,0,738 AB,214,HAJ,352,JER,499,,0,DH4 AB,214,HAJ,352,LHR,507,Y,0,319 AB,214,HAJ,352,PMI,3998,,0,738 321 AB,214,HAJ,352,STR,350,,0,DH4 AB,214,HAJ,352,VIE,1613,,0,320 E90 AB,214,HAM,342,ACE,1055,,0,320 AB,214,HAM,342,AGP,1230,,0,320 738 321 AB,214,HAM,342,ALC,1212,,0,320 AB,214,HAM,342,AYT,1688,,0,320 738 AB,214,HAM,342,CFU,1460,,0,320 AB,214,HAM,342,DUS,345,,0,319 320 DH4 738 AB,214,HAM,342,FAO,1626,,0,320 AB,214,HAM,342,FUE,1051,,0,738 AB,214,HAM,342,HEL,421,Y,0,E90 319 E70 AB,214,HAM,342,HER,1452,,0,320 AB,214,HAM,342,IBZ,1225,,0,320 738 AB,214,HAM,342,KGS,1458,,0,738 AB,214,HAM,342,LHR,507,Y,0,320 319 321 AB,214,HAM,342,LPA,1054,,0,320 AB,214,HAM,342,MUC,346,,0,320 738 73G AB,214,HAM,342,NUE,347,,0,DH4 AB,214,HAM,342,OLB,1520,,0,320 AB,214,HAM,342,PMI,3998,,0,320 738 332 319 AB,214,HAM,342,RIX,3953,Y,0,DH4 735 73C AB,214,HAM,342,SKG,1486,,0,320 AB,214,HAM,342,STR,350,,0,320 738 AB,214,HAM,342,SZG,1612,,0,320 319 AB,214,HAM,342,TFS,1056,,0,320 AB,214,HAM,342,VIE,1613,,0,320 E90 321 AB,214,HEL,421,DUS,345,Y,0,E90 AB,214,HEL,421,FRA,340,Y,0,E90 AB,214,HEL,421,HAM,342,Y,0,E90 319 E70 AB,214,HEL,421,MUC,346,Y,0,319 320 E90 AB,214,HEL,421,TXL,351,,0,738 73G AB,214,HEL,421,VIE,1613,Y,0,320 319 E90 AB,214,HEL,421,ZRH,1678,,0,319 AB,214,HER,1452,BSL,1423,,0,320 AB,214,HER,1452,DRS,338,,0,738 AB,214,HER,1452,DUS,345,,0,738 321 320 AB,214,HER,1452,GRZ,1609,,0,320 AB,214,HER,1452,HAM,342,,0,320 AB,214,HER,1452,LEJ,348,,0,738 AB,214,HER,1452,LNZ,1611,,0,321 AB,214,HER,1452,MUC,346,,0,738 320 AB,214,HER,1452,NUE,347,,0,738 AB,214,HER,1452,SZG,1612,,0,321 AB,214,HER,1452,TXL,351,,0,738 321 AB,214,HER,1452,VIE,1613,,0,320 321 AB,214,HER,1452,ZRH,1678,,0,320 319 AB,214,HKT,3179,AUH,2179,,0,332 AB,214,HKT,3179,BKK,3885,Y,0,320 AB,214,HRG,1130,CGN,344,,0,738 AB,214,HRG,1130,DRS,338,,0,738 AB,214,HRG,1130,DUS,345,,0,738 332 AB,214,HRG,1130,LEJ,348,,0,738 AB,214,HRG,1130,NUE,347,,0,738 AB,214,HRG,1130,TXL,351,,0,321 AB,214,IBZ,1225,BSL,1423,,0,320 AB,214,IBZ,1225,CGN,344,,0,738 AB,214,IBZ,1225,DUS,345,,0,321 738 332 AB,214,IBZ,1225,FDH,382,,0,320 AB,214,IBZ,1225,FMO,341,,0,738 AB,214,IBZ,1225,FRA,340,,0,320 AB,214,IBZ,1225,HAJ,352,,0,738 AB,214,IBZ,1225,HAM,342,,0,320 738 AB,214,IBZ,1225,MUC,346,,0,738 320 AB,214,IBZ,1225,NUE,347,,0,738 AB,214,IBZ,1225,PAD,371,,0,738 AB,214,IBZ,1225,PMI,3998,,0,320 738 AB,214,IBZ,1225,STR,350,,0,738 320 AB,214,IBZ,1225,TXL,351,,0,738 321 AB,214,IBZ,1225,ZRH,1678,,0,320 AB,214,INN,1610,PMI,3998,Y,0,320 AB,214,JER,499,DUS,345,,0,73G AB,214,JER,499,FRA,340,,0,DH4 AB,214,JER,499,HAJ,352,,0,DH4 AB,214,JER,499,STR,350,,0,DH4 AB,214,JFK,3797,DUS,345,,0,332 AB,214,JFK,3797,TXL,351,,0,332 AB,214,JMK,1468,VIE,1613,,0,320 321 AB,214,JTR,1479,VIE,1613,,0,321 320 E90 AB,214,KGD,2952,TXL,351,,0,DH4 AB,214,KGS,1458,CGN,344,,0,738 73G AB,214,KGS,1458,DUS,345,,0,738 321 AB,214,KGS,1458,HAM,342,,0,738 AB,214,KGS,1458,LEJ,348,,0,738 AB,214,KGS,1458,MUC,346,,0,738 AB,214,KGS,1458,TXL,351,,0,320 738 AB,214,KLX,1456,VIE,1613,,0,320 E90 AB,214,KRK,669,TXL,351,,0,DH4 319 73G AB,214,KVA,1462,DUS,345,,0,738 AB,214,KVA,1462,MUC,346,,0,738 AB,214,LAX,3484,DUS,345,,0,332 AB,214,LCA,1197,VIE,1613,,0,320 AB,214,LCY,503,FRA,340,Y,0,E70 E90 AR8 AB,214,LCY,503,ZRH,1678,Y,0,E90 E70 AB,214,LED,2948,TXL,351,,0,73G 738 AB,214,LEI,1213,PMI,3998,,0,738 AB,214,LEJ,348,ACE,1055,,0,738 AB,214,LEJ,348,AYT,1688,,0,738 AB,214,LEJ,348,FNC,4091,,0,738 AB,214,LEJ,348,FUE,1051,,0,738 AB,214,LEJ,348,HER,1452,,0,738 AB,214,LEJ,348,HRG,1130,,0,738 AB,214,LEJ,348,KGS,1458,,0,738 AB,214,LEJ,348,PMI,3998,,0,738 320 AB,214,LEJ,348,TFS,1056,,0,738 AB,214,LGW,502,SZG,1612,Y,0,734 AB,214,LHR,507,BSL,1423,Y,0,319 320 321 AB,214,LHR,507,FRA,340,Y,0,767 319 320 AB,214,LHR,507,HAJ,352,Y,0,319 AB,214,LHR,507,HAM,342,Y,0,319 321 320 AB,214,LHR,507,MUC,346,Y,0,320 321 319 AB,214,LHR,507,ORY,1386,Y,0,320 319 AB,214,LHR,507,STR,350,Y,0,319 321 320 AB,214,LHR,507,TXL,351,Y,0,320 321 319 AB,214,LHR,507,VIE,1613,Y,0,320 AB,214,LHR,507,ZRH,1678,Y,0,319 320 321 AB,214,LNZ,1611,HER,1452,,0,321 AB,214,LNZ,1611,PMI,3998,Y,0,320 AB,214,LPA,1054,BSL,1423,,0,320 AB,214,LPA,1054,CGN,344,,0,738 AB,214,LPA,1054,DUS,345,,0,332 AB,214,LPA,1054,HAM,342,,0,320 AB,214,LPA,1054,MUC,346,,0,738 AB,214,LPA,1054,NUE,347,,0,738 AB,214,LPA,1054,SZG,1612,,0,320 AB,214,LPA,1054,TXL,351,,0,321 320 AB,214,LPA,1054,VIE,1613,,0,320 AB,214,LPA,1054,ZRH,1678,,0,320 AB,214,MAD,1229,DUS,345,,0,32A 738 321 AB,214,MAD,1229,FRA,340,Y,0,32A AB,214,MAD,1229,GVA,1665,Y,0,319 320 AB,214,MAD,1229,MUC,346,Y,0,319 320 321 AB,214,MAD,1229,TXL,351,,0,738 320 AB,214,MAD,1229,VIE,1613,,0,320 321 AB,214,MAD,1229,ZRH,1678,Y,0,319 AB,214,MAH,1231,CGN,344,,0,738 AB,214,MAH,1231,DUS,345,,0,738 AB,214,MAH,1231,MUC,346,,0,738 AB,214,MAH,1231,PMI,3998,,0,320 319 AB,214,MAH,1231,TXL,351,,0,738 AB,214,MIA,3576,DUS,345,,0,332 AB,214,MIA,3576,TXL,351,,0,332 AB,214,MJT,1469,DUS,345,,0,738 AB,214,MJT,1469,MUC,346,,0,320 AB,214,MLA,1606,VIE,1613,,0,E90 AB,214,MUC,346,ACE,1055,,0,738 AB,214,MUC,346,AGP,1230,,0,738 320 AB,214,MUC,346,ALC,1212,,0,320 738 AB,214,MUC,346,AMM,2170,Y,0,319 AB,214,MUC,346,AOK,1459,,0,320 AB,214,MUC,346,AUH,2179,Y,0,346 345 333 AB,214,MUC,346,AYT,1688,,0,321 AB,214,MUC,346,BDS,1506,,0,73G 738 AB,214,MUC,346,CAG,1519,,0,320 738 AB,214,MUC,346,CFU,1460,,0,321 320 AB,214,MUC,346,CGN,344,,0,73G AB,214,MUC,346,CTA,1509,,0,320 321 738 AB,214,MUC,346,DME,4029,,0,738 AB,214,MUC,346,DUS,345,,0,738 320 319 321 DH4 AB,214,MUC,346,FAO,1626,,0,738 AB,214,MUC,346,FNC,4091,,0,738 AB,214,MUC,346,FUE,1051,,0,738 AB,214,MUC,346,GWT,410,,0,DH4 73G AB,214,MUC,346,HAM,342,,0,320 738 73G AB,214,MUC,346,HEL,421,Y,0,319 320 E90 AB,214,MUC,346,HER,1452,,0,738 320 AB,214,MUC,346,IBZ,1225,,0,738 320 AB,214,MUC,346,KGS,1458,,0,738 AB,214,MUC,346,KVA,1462,,0,738 AB,214,MUC,346,LHR,507,Y,0,321 320 319 AB,214,MUC,346,LPA,1054,,0,738 AB,214,MUC,346,MAD,1229,Y,0,319 320 321 AB,214,MUC,346,MAH,1231,,0,738 AB,214,MUC,346,MJT,1469,,0,320 AB,214,MUC,346,NAP,1561,,0,320 738 AB,214,MUC,346,NBE,7447,,0,320 AB,214,MUC,346,OLB,1520,,0,73G 738 320 AB,214,MUC,346,PMI,3998,,0,738 321 320 AB,214,MUC,346,PUJ,1760,,0,332 AB,214,MUC,346,PVK,1470,,0,320 AB,214,MUC,346,RHO,1472,,0,738 AB,214,MUC,346,RIX,3953,Y,0,73C DH4 735 AB,214,MUC,346,SAW,4317,,0,738 320 AB,214,MUC,346,SKG,1486,,0,738 AB,214,MUC,346,SMI,1476,,0,320 AB,214,MUC,346,TFS,1056,,0,738 AB,214,MUC,346,TLV,1590,,0,320 AB,214,MUC,346,TXL,351,,0,738 321 320 319 73G AB,214,MUC,346,VIE,1613,Y,0,E90 AB,214,MUC,346,ZTH,1488,,0,738 AB,214,MXP,1524,DUS,345,,0,73G 738 320 AB,214,MXP,1524,TXL,351,,0,738 73G 320 AB,214,MXP,1524,VIE,1613,Y,0,E90 AB,214,NAP,1561,DUS,345,,0,738 320 AB,214,NAP,1561,MUC,346,,0,320 738 AB,214,NAP,1561,STR,350,,0,320 738 AB,214,NAP,1561,TXL,351,,0,320 73G AB,214,NAP,1561,ZRH,1678,,0,320 AB,214,NBE,7447,CGN,344,,0,738 AB,214,NBE,7447,DRS,338,,0,738 AB,214,NBE,7447,DUS,345,,0,738 AB,214,NBE,7447,MUC,346,,0,320 AB,214,NBE,7447,NUE,347,,0,738 AB,214,NBE,7447,TXL,351,,0,738 AB,214,NCE,1354,DUS,345,,0,319 320 738 AB,214,NCE,1354,VIE,1613,Y,0,E90 AB,214,NUE,347,AYT,1688,,0,738 AB,214,NUE,347,DJE,293,,0,738 AB,214,NUE,347,DUS,345,,0,DH4 AB,214,NUE,347,FUE,1051,,0,738 AB,214,NUE,347,HAM,342,,0,DH4 AB,214,NUE,347,HER,1452,,0,738 AB,214,NUE,347,HRG,1130,,0,738 AB,214,NUE,347,IBZ,1225,,0,738 AB,214,NUE,347,KGS,1458,,0,738 AB,214,NUE,347,LPA,1054,,0,738 AB,214,NUE,347,NBE,7447,,0,738 AB,214,NUE,347,OLB,1520,,0,738 AB,214,NUE,347,PMI,3998,,0,738 AB,214,NUE,347,RHO,1472,,0,738 AB,214,NUE,347,SAW,4317,,0,738 AB,214,NUE,347,SKG,1486,,0,738 AB,214,NUE,347,SMI,1476,,0,738 AB,214,NUE,347,SPU,1206,,0,DH4 AB,214,NUE,347,TFS,1056,,0,738 AB,214,NUE,347,TXL,351,,0,DH4 319 AB,214,NUE,347,VIE,1613,,0,DH4 AB,214,OLB,1520,CGN,344,,0,738 AB,214,OLB,1520,DUS,345,,0,738 319 AB,214,OLB,1520,HAM,342,,0,320 AB,214,OLB,1520,MUC,346,,0,73G 738 320 AB,214,OLB,1520,NUE,347,,0,738 AB,214,OLB,1520,STR,350,,0,320 738 73G AB,214,OLB,1520,TXL,351,,0,320 73G AB,214,OLB,1520,VIE,1613,,0,320 AB,214,OLB,1520,ZRH,1678,,0,320 738 AB,214,ORD,3830,DUS,345,Y,0,763 AB,214,ORD,3830,TXL,351,,0,332 AB,214,ORY,1386,LHR,507,Y,0,319 320 AB,214,ORY,1386,TXL,351,,0,738 320 319 AB,214,OSL,644,TXL,351,,0,319 AB,214,OTP,1657,TXL,351,,0,320 73G AB,214,PAD,371,AYT,1688,,0,738 AB,214,PAD,371,IBZ,1225,,0,738 AB,214,PAD,371,PMI,3998,,0,738 320 AB,214,PDL,1633,DUS,345,,0,738 AB,214,PEK,3364,NGO,3942,Y,0,332 AB,214,PEK,3364,TXL,351,Y,0,330 AB,214,PMI,3998,AGP,1230,,0,320 321 AB,214,PMI,3998,ALC,1212,,0,321 320 AB,214,PMI,3998,BIO,1216,,0,320 738 AB,214,PMI,3998,BRE,353,,0,320 738 319 AB,214,PMI,3998,BSL,1423,,0,320 738 AB,214,PMI,3998,CGN,344,,0,738 332 320 AB,214,PMI,3998,CPH,609,,0,738 AB,214,PMI,3998,DRS,338,,0,738 321 AB,214,PMI,3998,DTM,373,,0,738 AB,214,PMI,3998,DUS,345,,0,332 321 738 320 AB,214,PMI,3998,FAO,1626,,0,738 320 AB,214,PMI,3998,FDH,382,,0,320 AB,214,PMI,3998,FKB,4166,,0,320 321 73G AB,214,PMI,3998,FMO,341,,0,738 320 AB,214,PMI,3998,FRA,340,,0,321 320 332 AB,214,PMI,3998,GRZ,1609,Y,0,320 AB,214,PMI,3998,HAJ,352,,0,321 738 AB,214,PMI,3998,HAM,342,,0,738 320 332 319 AB,214,PMI,3998,IBZ,1225,,0,320 738 AB,214,PMI,3998,INN,1610,Y,0,320 AB,214,PMI,3998,LEI,1213,,0,738 AB,214,PMI,3998,LEJ,348,,0,738 320 AB,214,PMI,3998,LNZ,1611,Y,0,320 AB,214,PMI,3998,MAH,1231,,0,320 319 AB,214,PMI,3998,MUC,346,,0,320 321 738 AB,214,PMI,3998,NUE,347,,0,738 AB,214,PMI,3998,PAD,371,,0,320 738 AB,214,PMI,3998,SCN,349,,0,73G 738 320 AB,214,PMI,3998,STR,350,,0,332 738 321 320 AB,214,PMI,3998,SVQ,1253,,0,738 AB,214,PMI,3998,SZG,1612,Y,0,320 AB,214,PMI,3998,TXL,351,,0,321 738 320 AB,214,PMI,3998,VIE,1613,,0,321 320 AB,214,PMI,3998,VLC,1246,,0,738 320 73G AB,214,PMI,3998,XRY,1226,,0,320 AB,214,PMI,3998,ZRH,1678,,0,738 320 332 321 AB,214,POP,1761,DUS,345,,0,332 AB,214,PUJ,1760,DUS,345,,0,332 AB,214,PUJ,1760,MUC,346,,0,332 AB,214,PVK,1470,DUS,345,,0,321 AB,214,PVK,1470,MUC,346,,0,320 AB,214,PVK,1470,VIE,1613,,0,E90 AB,214,RHO,1472,DRS,338,,0,738 AB,214,RHO,1472,DUS,345,,0,738 AB,214,RHO,1472,MUC,346,,0,738 AB,214,RHO,1472,NUE,347,,0,738 AB,214,RHO,1472,TXL,351,,0,320 AB,214,RHO,1472,VIE,1613,,0,320 E90 AB,214,RIX,3953,DUS,345,Y,0,DH4 AB,214,RIX,3953,FRA,340,Y,0,735 DH4 73C AB,214,RIX,3953,HAM,342,Y,0,DH4 735 AB,214,RIX,3953,MUC,346,Y,0,73C DH4 735 AB,214,RIX,3953,TXL,351,Y,0,DH4 735 AB,214,RMF,4197,DUS,345,,0,321 AB,214,RSW,3793,DUS,345,,0,332 AB,214,SAW,4317,CGN,344,,0,738 AB,214,SAW,4317,DUS,345,,0,738 AB,214,SAW,4317,MUC,346,,0,738 320 AB,214,SAW,4317,NUE,347,,0,738 AB,214,SAW,4317,STR,350,,0,320 738 AB,214,SAW,4317,SXF,337,,0,738 AB,214,SCN,349,PMI,3998,,0,73G 738 320 AB,214,SCN,349,TXL,351,,0,73G 320 AB,214,SIN,3316,AUH,2179,Y,0,332 AB,214,SIN,3316,BNE,3320,Y,0,332 AB,214,SKG,1486,DUS,345,,0,321 AB,214,SKG,1486,HAM,342,,0,320 AB,214,SKG,1486,MUC,346,,0,738 AB,214,SKG,1486,NUE,347,,0,738 AB,214,SKG,1486,STR,350,,0,738 AB,214,SKG,1486,TXL,351,,0,319 AB,214,SKG,1486,VIE,1613,,0,E90 AB,214,SMI,1476,DUS,345,,0,320 AB,214,SMI,1476,MUC,346,,0,320 AB,214,SMI,1476,NUE,347,,0,738 AB,214,SMI,1476,TXL,351,,0,320 AB,214,SOF,1194,TXL,351,,0,73G AB,214,SPC,1053,DUS,345,,0,321 AB,214,SPU,1206,NUE,347,,0,DH4 AB,214,STN,548,DUS,345,,0,DH4 AB,214,STR,350,AGP,1230,,0,320 738 AB,214,STR,350,ALC,1212,,0,320 738 AB,214,STR,350,AYT,1688,,0,738 320 AB,214,STR,350,BEG,1739,,0,733 319 AB,214,STR,350,CTA,1509,,0,738 320 AB,214,STR,350,DUS,345,,0,DH4 AB,214,STR,350,FLR,1563,,0,DH4 AB,214,STR,350,GWT,410,,0,DH4 73G AB,214,STR,350,HAJ,352,,0,DH4 AB,214,STR,350,HAM,342,,0,320 738 AB,214,STR,350,IBZ,1225,,0,738 320 AB,214,STR,350,JER,499,,0,DH4 AB,214,STR,350,LHR,507,Y,0,319 321 320 AB,214,STR,350,NAP,1561,,0,320 738 AB,214,STR,350,OLB,1520,,0,320 738 73G AB,214,STR,350,PMI,3998,,0,321 332 738 320 AB,214,STR,350,SAW,4317,,0,320 AB,214,STR,350,SKG,1486,,0,738 AB,214,STR,350,TXL,351,,0,738 320 73G 321 DH4 319 AB,214,STR,350,VCE,1551,,0,320 73G AB,214,SUF,1508,ZRH,1678,,0,320 AB,214,SVQ,1253,PMI,3998,,0,738 AB,214,SXF,337,SAW,4317,,0,738 AB,214,SZG,1612,ACE,1055,,0,320 AB,214,SZG,1612,CLY,1322,,0,320 AB,214,SZG,1612,DUS,345,,0,DH4 AB,214,SZG,1612,HAM,342,,0,320 319 AB,214,SZG,1612,HER,1452,,0,321 AB,214,SZG,1612,LGW,502,Y,0,734 AB,214,SZG,1612,LPA,1054,,0,320 AB,214,SZG,1612,PMI,3998,Y,0,320 AB,214,SZG,1612,TFS,1056,,0,320 AB,214,SZG,1612,TXL,351,,0,319 AB,214,SZG,1612,VIE,1613,,0,320 AB,214,TFS,1056,BSL,1423,,0,320 AB,214,TFS,1056,CGN,344,,0,738 AB,214,TFS,1056,DRS,338,,0,738 AB,214,TFS,1056,DUS,345,,0,332 738 321 AB,214,TFS,1056,GRZ,1609,,0,320 AB,214,TFS,1056,HAM,342,,0,320 AB,214,TFS,1056,LEJ,348,,0,738 AB,214,TFS,1056,MUC,346,,0,738 AB,214,TFS,1056,NUE,347,,0,738 AB,214,TFS,1056,SZG,1612,,0,320 AB,214,TFS,1056,TXL,351,,0,321 AB,214,TFS,1056,VIE,1613,,0,320 AB,214,TFS,1056,ZRH,1678,,0,320 AB,214,TLV,1590,DUS,345,,0,321 738 AB,214,TLV,1590,MUC,346,,0,320 AB,214,TLV,1590,TXL,351,,0,320 321 738 AB,214,TXL,351,ACE,1055,,0,321 AB,214,TXL,351,AGP,1230,,0,321 AB,214,TXL,351,ALC,1212,,0,320 73G AB,214,TXL,351,AMM,2170,Y,0,320 319 AB,214,TXL,351,ARN,737,,0,738 320 321 319 AB,214,TXL,351,AUH,2179,,0,332 AB,214,TXL,351,AYT,1688,,0,320 321 738 AB,214,TXL,351,BCN,1218,,0,738 320 321 AB,214,TXL,351,BEG,1739,,0,319 AB,214,TXL,351,BRI,1501,,0,738 320 AB,214,TXL,351,BUD,1489,,0,73G 319 AB,214,TXL,351,CFU,1460,,0,320 321 AB,214,TXL,351,CGN,344,,0,321 738 73G 320 319 AB,214,TXL,351,CPH,609,,0,319 73G 738 AB,214,TXL,351,CTA,1509,,0,321 320 738 AB,214,TXL,351,DME,4029,,0,738 AB,214,TXL,351,DUS,345,,0,738 319 73G 320 321 DH4 AB,214,TXL,351,FAO,1626,,0,321 320 AB,214,TXL,351,FCO,1555,,0,320 738 73G AB,214,TXL,351,FKB,4166,,0,73G 319 DH4 AB,214,TXL,351,FNC,4091,,0,332 321 AB,214,TXL,351,FRA,340,,0,738 73G 319 320 DH4 AB,214,TXL,351,FUE,1051,,0,321 738 AB,214,TXL,351,GDN,668,,0,DH4 AB,214,TXL,351,GOT,687,,0,73G AB,214,TXL,351,GRZ,1609,,0,319 AB,214,TXL,351,GWT,410,,0,DH4 AB,214,TXL,351,HEL,421,,0,738 73G AB,214,TXL,351,HER,1452,,0,738 321 AB,214,TXL,351,HRG,1130,,0,321 AB,214,TXL,351,IBZ,1225,,0,738 321 AB,214,TXL,351,JFK,3797,,0,332 AB,214,TXL,351,KGD,2952,,0,DH4 AB,214,TXL,351,KGS,1458,,0,320 738 AB,214,TXL,351,KRK,669,,0,319 DH4 73G AB,214,TXL,351,LED,2948,,0,738 73G AB,214,TXL,351,LHR,507,Y,0,320 321 319 AB,214,TXL,351,LPA,1054,,0,321 320 AB,214,TXL,351,MAD,1229,,0,738 320 AB,214,TXL,351,MAH,1231,,0,738 AB,214,TXL,351,MIA,3576,,0,332 AB,214,TXL,351,MUC,346,,0,321 738 320 319 73G AB,214,TXL,351,MXP,1524,,0,738 73G 320 AB,214,TXL,351,NAP,1561,,0,320 73G AB,214,TXL,351,NBE,7447,,0,738 AB,214,TXL,351,NUE,347,,0,319 DH4 AB,214,TXL,351,OLB,1520,,0,320 73G AB,214,TXL,351,ORD,3830,,0,332 AB,214,TXL,351,ORY,1386,,0,738 320 319 AB,214,TXL,351,OSL,644,,0,319 AB,214,TXL,351,OTP,1657,,0,320 73G AB,214,TXL,351,PEK,3364,Y,0,330 AB,214,TXL,351,PMI,3998,,0,320 321 738 AB,214,TXL,351,RHO,1472,,0,320 AB,214,TXL,351,RIX,3953,Y,0,DH4 735 AB,214,TXL,351,SCN,349,,0,73G 320 AB,214,TXL,351,SKG,1486,,0,319 AB,214,TXL,351,SMI,1476,,0,320 AB,214,TXL,351,SOF,1194,,0,73G AB,214,TXL,351,STR,350,,0,320 738 73G 321 DH4 319 AB,214,TXL,351,SZG,1612,,0,319 AB,214,TXL,351,TFS,1056,,0,321 AB,214,TXL,351,TLV,1590,,0,321 738 320 AB,214,TXL,351,VCE,1551,,0,320 738 73G AB,214,TXL,351,VIE,1613,,0,321 320 E90 AB,214,TXL,351,WAW,679,,0,DH4 319 AB,214,TXL,351,ZRH,1678,,0,738 319 321 320 73G AB,214,VCE,1551,DUS,345,,0,738 320 321 AB,214,VCE,1551,STR,350,,0,320 73G AB,214,VCE,1551,TXL,351,,0,320 738 73G AB,214,VIE,1613,ACE,1055,,0,321 AB,214,VIE,1613,AGP,1230,Y,0,321 320 AB,214,VIE,1613,AMM,2170,Y,0,320 319 AB,214,VIE,1613,ARN,737,Y,0,E90 AB,214,VIE,1613,BCN,1218,Y,0,320 321 AB,214,VIE,1613,CDG,1382,Y,0,320 AB,214,VIE,1613,CFU,1460,,0,320 AB,214,VIE,1613,CHQ,1474,,0,320 AB,214,VIE,1613,CPH,609,Y,0,E90 AB,214,VIE,1613,DUS,345,,0,321 738 E90 320 319 AB,214,VIE,1613,FCO,1555,,0,E90 AB,214,VIE,1613,FLR,1563,Y,0,DH4 AB,214,VIE,1613,FNC,4091,,0,321 AB,214,VIE,1613,FRA,340,Y,0,E90 320 AB,214,VIE,1613,HAJ,352,,0,320 E90 AB,214,VIE,1613,HAM,342,,0,E90 320 321 AB,214,VIE,1613,HEL,421,Y,0,320 319 E90 AB,214,VIE,1613,HER,1452,,0,320 321 AB,214,VIE,1613,JMK,1468,,0,320 321 AB,214,VIE,1613,JTR,1479,,0,321 320 E90 AB,214,VIE,1613,KLX,1456,,0,320 E90 AB,214,VIE,1613,LCA,1197,,0,320 AB,214,VIE,1613,LHR,507,Y,0,320 AB,214,VIE,1613,LPA,1054,,0,320 AB,214,VIE,1613,MAD,1229,,0,320 321 AB,214,VIE,1613,MLA,1606,,0,E90 AB,214,VIE,1613,MUC,346,Y,0,E90 AB,214,VIE,1613,MXP,1524,Y,0,E90 AB,214,VIE,1613,NCE,1354,Y,0,E90 AB,214,VIE,1613,NUE,347,,0,DH4 AB,214,VIE,1613,OLB,1520,,0,320 AB,214,VIE,1613,PMI,3998,,0,321 320 AB,214,VIE,1613,PVK,1470,,0,E90 AB,214,VIE,1613,RHO,1472,,0,320 E90 AB,214,VIE,1613,SKG,1486,,0,E90 AB,214,VIE,1613,SZG,1612,,0,320 AB,214,VIE,1613,TFS,1056,,0,320 AB,214,VIE,1613,TXL,351,,0,321 320 E90 AB,214,VIE,1613,VLC,1246,Y,0,320 AB,214,VIE,1613,VOL,1448,,0,320 AB,214,VIE,1613,ZRH,1678,Y,0,321 E90 320 AB,214,VIE,1613,ZTH,1488,,0,320 E90 AB,214,VLC,1246,PMI,3998,,0,738 320 73G AB,214,VLC,1246,VIE,1613,Y,0,320 AB,214,VOL,1448,VIE,1613,,0,320 AB,214,VRA,1923,DUS,345,,0,332 AB,214,WAW,679,TXL,351,,0,319 DH4 AB,214,XRY,1226,PMI,3998,,0,320 AB,214,ZRH,1678,ACE,1055,,0,320 AB,214,ZRH,1678,ALC,1212,,0,320 321 AB,214,ZRH,1678,BDS,1506,,0,320 AB,214,ZRH,1678,CTA,1509,,0,320 319 AB,214,ZRH,1678,DUS,345,,0,319 738 320 73G AB,214,ZRH,1678,FNC,4091,,0,320 AB,214,ZRH,1678,FUE,1051,,0,320 AB,214,ZRH,1678,GWT,410,,0,73G DH4 AB,214,ZRH,1678,HEL,421,,0,319 AB,214,ZRH,1678,HER,1452,,0,320 319 AB,214,ZRH,1678,IBZ,1225,,0,320 AB,214,ZRH,1678,LCY,503,Y,0,E90 E70 AB,214,ZRH,1678,LHR,507,Y,0,320 319 321 AB,214,ZRH,1678,LPA,1054,,0,320 AB,214,ZRH,1678,MAD,1229,Y,0,319 AB,214,ZRH,1678,NAP,1561,,0,320 AB,214,ZRH,1678,OLB,1520,,0,320 738 AB,214,ZRH,1678,PMI,3998,,0,738 320 332 321 AB,214,ZRH,1678,SUF,1508,,0,320 AB,214,ZRH,1678,TFS,1056,,0,320 AB,214,ZRH,1678,TXL,351,,0,319 738 321 320 73G AB,214,ZRH,1678,VIE,1613,Y,0,321 E90 320 AB,214,ZTH,1488,DUS,345,,0,738 AB,214,ZTH,1488,MUC,346,,0,738 AB,214,ZTH,1488,VIE,1613,,0,320 E90 ABJ,43,GNM,7407,SSA,2621,,0,EMB ABJ,43,LAZ,2582,GNM,7407,,0,EMB ABJ,43,SSA,2621,LAZ,2582,,0,EMB AC,330,ABJ,253,BRU,302,,1,333 AC,330,ABJ,253,OUA,246,Y,0,332 AC,330,ADD,1107,JED,2072,Y,0,333 AC,330,AMS,580,CPH,609,Y,0,319 321 AC,330,ANU,2874,YYZ,193,,0,320 AC,330,ATL,3682,DEN,3751,Y,0,CR7 AC,330,ATL,3682,YYZ,193,Y,0,CRA CRJ AC,330,AUA,2895,YYZ,193,,0,319 AC,330,AUH,2179,YYZ,193,,0,77W AC,330,AZS,5810,YUL,146,,0,320 AC,330,AZS,5810,YYZ,193,,0,319 AC,330,BAH,2057,DOH,11051,Y,0,333 AC,330,BCN,1218,YYZ,193,Y,0,763 AC,330,BDA,4069,YYZ,193,,0,319 AC,330,BDL,3825,YUL,146,Y,0,BEH AC,330,BDL,3825,YYZ,193,Y,0,BEH AC,330,BGI,2875,YYZ,193,,0,319 AC,330,BJM,1120,NBO,4059,Y,0,332 AC,330,BKK,3885,ICN,3930,Y,0,333 777 AC,330,BKK,3885,NRT,2279,Y,0,777 AC,330,BNA,3690,YYZ,193,Y,0,CRJ AC,330,BOG,2709,YYZ,193,,0,763 AC,330,BOS,3448,YHZ,73,Y,0,CRJ AC,330,BOS,3448,YOW,100,Y,0,DH1 AC,330,BOS,3448,YUL,146,Y,0,CRJ DH3 AC,330,BOS,3448,YYZ,193,,0,E90 E75 AC,330,BRU,302,BJM,1120,Y,0,332 AC,330,BRU,302,COO,245,Y,0,332 AC,330,BRU,302,DKR,1084,Y,0,333 AC,330,BRU,302,DLA,897,Y,0,333 AC,330,BRU,302,KGL,1165,Y,0,332 AC,330,BRU,302,LAD,951,Y,0,333 AC,330,BRU,302,OUA,246,Y,0,333 AC,330,BRU,302,YUL,146,,0,333 AC,330,BRU,302,YYZ,193,Y,0,332 AC,330,BWI,3849,YYZ,193,Y,0,DH1 AC,330,CCC,1901,YYZ,193,,0,319 AC,330,CDG,1382,YUL,146,,0,77W AC,330,CDG,1382,YYZ,193,,0,77W AC,330,CKY,4162,DKR,1084,Y,0,333 AC,330,CLE,3486,YYZ,193,Y,0,DH1 AC,330,CLT,3876,YYZ,193,Y,0,CRJ AC,330,CMH,3759,YYZ,193,Y,0,DH1 AC,330,COO,245,ABJ,253,Y,0,332 AC,330,CPH,609,AMS,580,Y,0,319 AC,330,CPH,609,OSL,644,Y,0,321 AC,330,CPH,609,VNO,3959,Y,0,M80 AC,330,CPH,609,WAW,679,Y,0,M80 AC,330,CPH,609,YYZ,193,,0,763 AC,330,CUN,1852,YUL,146,,0,319 AC,330,CUN,1852,YYC,178,,0,319 AC,330,CUN,1852,YYZ,193,,0,319 AC,330,CVG,3488,YYZ,193,Y,0,CRJ AC,330,CZM,1800,YUL,146,,0,319 AC,330,DCA,3520,YOW,100,Y,0,CRJ AC,330,DCA,3520,YUL,146,Y,0,CRJ AC,330,DCA,3520,YYZ,193,,0,E75 AC,330,DEL,3093,BRU,302,Y,0,332 AC,330,DEN,3751,ATL,3682,Y,0,CR7 AC,330,DEN,3751,MSY,3861,Y,0,738 739 AC,330,DEN,3751,YEG,49,Y,0,CRJ 319 E70 AC,330,DEN,3751,YMM,90,Y,0,CR7 AC,330,DEN,3751,YQR,120,Y,0,CRJ AC,330,DEN,3751,YUL,146,,0,E90 AC,330,DEN,3751,YVR,156,Y,0,319 320 CR7 738 AC,330,DEN,3751,YWG,160,Y,0,ERJ AC,330,DEN,3751,YXE,166,Y,0,ERJ AC,330,DEN,3751,YYC,178,Y,0,CRJ 738 320 739 AC,330,DEN,3751,YYZ,193,,0,E90 AC,330,DFW,3670,YYZ,193,,0,E75 AC,330,DKR,1084,BRU,302,Y,0,333 AC,330,DKR,1084,CKY,4162,Y,0,333 AC,330,DLA,897,BRU,302,Y,0,333 AC,330,DLA,897,FIH,1020,Y,0,333 AC,330,DOH,11051,BAH,2057,Y,0,333 AC,330,DOH,11051,FRA,340,Y,0,333 AC,330,DTW,3645,YYZ,193,Y,0,CRJ BEH AC,330,DUB,599,YYZ,193,Y,0,763 AC,330,EBB,1187,BRU,302,Y,0,332 AC,330,EWR,3494,MSY,3861,Y,0,319 E70 320 738 AC,330,EWR,3494,YEG,49,Y,0,319 AC,330,EWR,3494,YUL,146,Y,0,CRJ AC,330,EWR,3494,YVR,156,,0,319 AC,330,EWR,3494,YYC,178,,0,E90 AC,330,EWR,3494,YYZ,193,,0,E75 E90 AC,330,EZE,3988,SCL,2650,,0,763 AC,330,FCO,1555,YYZ,193,,0,333 AC,330,FDF,2878,YUL,146,,0,319 AC,330,FIH,1020,BRU,302,Y,0,333 AC,330,FIH,1020,DLA,897,Y,0,333 AC,330,FLL,3533,YUL,146,,0,320 AC,330,FLL,3533,YYZ,193,,0,320 AC,330,FRA,340,DOH,11051,Y,0,333 AC,330,FRA,340,JED,2072,Y,0,333 AC,330,FRA,340,LCA,1197,Y,0,319 321 AC,330,FRA,340,NAP,1561,Y,0,321 AC,330,FRA,340,VLC,1246,Y,0,319 AC,330,FRA,340,VNO,3959,Y,0,321 AC,330,FRA,340,YOW,100,,0,333 AC,330,FRA,340,YUL,146,,0,333 AC,330,FRA,340,YVR,156,Y,0,744 AC,330,FRA,340,YYC,178,,0,77W AC,330,FRA,340,YYZ,193,,0,77W AC,330,GCM,1926,YYZ,193,,0,E90 AC,330,GDN,668,CPH,609,Y,0,M80 AC,330,GGT,1941,YYZ,193,,0,E90 AC,330,GND,2882,YYZ,193,,0,319 AC,330,GRU,2564,YYZ,193,,0,763 AC,330,GVA,1665,YUL,146,,0,333 AC,330,HAV,1909,YYZ,193,,0,E90 AC,330,HKG,3077,YVR,156,,0,77W AC,330,HKG,3077,YYZ,193,,0,77L AC,330,HND,2359,YVR,156,,0,763 AC,330,HNL,3728,YVR,156,,0,763 AC,330,HOG,1910,YUL,146,,0,319 AC,330,HOG,1910,YYZ,193,,0,319 AC,330,IAD,3714,MSY,3861,Y,0,ERJ CR7 738 E70 739 AC,330,IAD,3714,YOW,100,Y,0,ERJ AC,330,IAD,3714,YUL,146,Y,0,ERJ CRJ AC,330,IAD,3714,YYZ,193,Y,0,ERJ CRJ CR7 AC,330,IAH,3550,MSY,3861,Y,0,CR7 320 73G 738 E70 ERJ 319 AC,330,IAH,3550,YEG,49,Y,0,738 320 737 319 AC,330,IAH,3550,YUL,146,Y,0,E70 AC,330,IAH,3550,YYC,178,Y,0,CRA 738 320 739 AC,330,IAH,3550,YYZ,193,Y,0,CRA AC,330,ICN,3930,BKK,3885,Y,0,333 777 AC,330,ICN,3930,YVR,156,,0,763 AC,330,IND,3585,YYZ,193,Y,0,CRJ AC,330,IST,1701,YYZ,193,,0,763 77W AC,330,JED,2072,ADD,1107,Y,0,333 AC,330,JED,2072,FRA,340,Y,0,333 AC,330,JED,2072,IST,1701,,0,321 AC,330,JFK,3797,YYZ,193,Y,0,CRA AC,330,KGL,1165,EBB,1187,Y,0,332 AC,330,KGL,1165,NBO,4059,Y,0,332 AC,330,KIN,1779,YYZ,193,,0,319 AC,330,LAD,951,FIH,1020,Y,0,333 AC,330,LAS,3877,YUL,146,,0,763 AC,330,LAS,3877,YVR,156,,0,319 AC,330,LAS,3877,YYC,178,,0,319 AC,330,LAS,3877,YYZ,193,,0,763 319 AC,330,LAX,3484,YLW,87,Y,0,CR7 AC,330,LAX,3484,YUL,146,,0,319 AC,330,LAX,3484,YVR,156,,0,319 AC,330,LAX,3484,YYC,178,,0,319 AC,330,LAX,3484,YYZ,193,,0,320 321 AC,330,LCA,1197,FRA,340,Y,0,319 321 AC,330,LGA,3697,YOW,100,Y,0,CRJ AC,330,LGA,3697,YUL,146,,0,E75 AC,330,LGA,3697,YYZ,193,,0,E90 E75 AC,330,LHR,507,YEG,49,,0,763 AC,330,LHR,507,YHZ,73,,0,763 AC,330,LHR,507,YOW,100,,0,763 AC,330,LHR,507,YUL,146,,0,77W AC,330,LHR,507,YVR,156,,0,77W AC,330,LHR,507,YYC,178,,0,333 AC,330,LHR,507,YYT,189,,0,319 AC,330,LHR,507,YYZ,193,,0,77L 763 77W 333 AC,330,LIM,2789,YYZ,193,,0,763 AC,330,LIR,1881,YYZ,193,,0,319 AC,330,MBJ,1780,YHZ,73,,0,319 AC,330,MBJ,1780,YUL,146,,0,319 AC,330,MBJ,1780,YYZ,193,,0,319 AC,330,MCI,3458,YYZ,193,Y,0,CRJ AC,330,MCO,3878,YUL,146,,0,319 AC,330,MCO,3878,YYZ,193,,0,319 AC,330,MDT,3542,YYZ,193,Y,0,BEH AC,330,MEX,1824,YVR,156,,0,319 AC,330,MEX,1824,YYZ,193,,0,319 AC,330,MIA,3576,GUA,1767,Y,0,E90 AC,330,MIA,3576,YYZ,193,,0,E90 AC,330,MKE,3717,YYZ,193,Y,0,CRJ AC,330,MSP,3858,YYZ,193,Y,0,CRA CRJ AC,330,MSY,3861,DEN,3751,Y,0,320 738 ERJ AC,330,MSY,3861,EWR,3494,Y,0,738 ERJ 320 319 AC,330,MSY,3861,IAD,3714,Y,0,320 E70 319 CR7 AC,330,MSY,3861,IAH,3550,Y,0,319 738 73G 320 ERJ AC,330,MSY,3861,ORD,3830,Y,0,320 CR7 319 ERJ AC,330,MSY,3861,YYZ,193,Y,0,CRA AC,330,MUC,346,SOF,1194,Y,0,E95 AC,330,MUC,346,YUL,146,Y,0,333 AC,330,MUC,346,YVR,156,Y,0,333 AC,330,MUC,346,YYZ,193,,0,77W AC,330,NAP,1561,FRA,340,Y,0,320 321 319 AC,330,NAS,1953,YYZ,193,,0,319 AC,330,NBO,4059,BRU,302,Y,0,332 AC,330,NRT,2279,BKK,3885,Y,0,777 AC,330,NRT,2279,YVR,156,,0,763 AC,330,NRT,2279,YYC,178,,0,763 AC,330,NRT,2279,YYZ,193,,0,77W AC,330,OGG,3456,YVR,156,,0,763 AC,330,ORD,3830,MSY,3861,Y,0,320 CR7 ERJ 319 AC,330,ORD,3830,YEG,49,Y,0,E70 CR7 AC,330,ORD,3830,YHZ,73,Y,0,ERJ AC,330,ORD,3830,YOW,100,Y,0,ERJ E70 AC,330,ORD,3830,YQB,111,Y,0,ERJ AC,330,ORD,3830,YQR,120,Y,0,CRJ AC,330,ORD,3830,YUL,146,,0,E75 AC,330,ORD,3830,YVR,156,Y,0,319 320 739 737 738 AC,330,ORD,3830,YWG,160,Y,0,ERJ CRJ AC,330,ORD,3830,YXU,174,Y,0,CRJ AC,330,ORD,3830,YYC,178,Y,0,CR7 737 AC,330,ORD,3830,YYZ,193,,0,E75 AC,330,OUA,246,ABJ,253,Y,0,333 AC,330,OUA,246,BRU,302,Y,0,333 AC,330,PAP,1897,YUL,146,,0,763 AC,330,PDX,3720,YVR,156,Y,0,DH3 AC,330,PDX,3720,YYC,178,Y,0,CRJ AC,330,PEK,3364,YVR,156,,0,330 77W AC,330,PEK,3364,YYZ,193,,0,77W AC,330,PHL,3752,YYZ,193,,0,E75 AC,330,PHX,3462,YYZ,193,,0,319 AC,330,PIT,3570,YYZ,193,Y,0,DH1 AC,330,PLS,1754,YUL,146,,0,319 AC,330,PLS,1754,YYZ,193,,0,E90 AC,330,POP,1761,YHZ,73,,0,319 AC,330,POP,1761,YYZ,193,,0,319 AC,330,PTP,2881,YUL,146,,0,319 AC,330,PUJ,1760,YUL,146,,0,319 AC,330,PUJ,1760,YYZ,193,,0,319 AC,330,PVG,3406,YVR,156,,0,763 AC,330,PVG,3406,YYZ,193,,0,77L AC,330,PVR,1836,YVR,156,,0,319 AC,330,PVR,1836,YYC,178,,0,319 AC,330,RDU,3626,YYZ,193,Y,0,CRJ AC,330,ROC,3622,YYZ,193,Y,0,BEH AC,330,RSW,3793,YYZ,193,,0,320 AC,330,SAN,3731,YYZ,193,,0,319 AC,330,SCL,2650,EZE,3988,,0,763 AC,330,SCL,2650,YYZ,193,,0,763 AC,330,SEA,3577,YVR,156,Y,0,DH3 AC,330,SEA,3577,YYZ,193,,0,E90 AC,330,SFO,3469,YEG,49,Y,0,CR7 AC,330,SFO,3469,YUL,146,,0,319 AC,330,SFO,3469,YVR,156,,0,E90 320 319 AC,330,SFO,3469,YYC,178,Y,0,CR7 AC,330,SFO,3469,YYJ,184,Y,0,CRJ AC,330,SFO,3469,YYZ,193,,0,320 AC,330,SJD,1840,YYC,178,,0,319 AC,330,SJO,1885,YYZ,193,,0,319 AC,330,SNU,1918,YHZ,73,,0,320 AC,330,SNU,1918,YUL,146,,0,319 AC,330,SNU,1918,YYZ,193,,0,319 AC,330,STL,3678,YYZ,193,Y,0,CRJ AC,330,SYD,3361,YVR,156,,0,77L AC,330,SYR,3745,YYZ,193,Y,0,BEH AC,330,TLV,1590,YUL,146,,0,763 AC,330,TLV,1590,YYZ,193,,0,763 AC,330,TPA,3646,YYZ,193,,0,319 AC,330,TRD,665,CPH,609,Y,0,M80 AC,330,UVF,2894,YYZ,193,,0,319 AC,330,VIE,1613,YYZ,193,Y,0,763 AC,330,VLC,1246,FRA,340,Y,0,319 AC,330,VNO,3959,CPH,609,Y,0,M80 AC,330,VNO,3959,FRA,340,Y,0,320 321 AC,330,VRA,1923,YUL,146,,0,320 AC,330,VRA,1923,YYC,178,,0,319 AC,330,VRA,1923,YYZ,193,,0,319 AC,330,WAW,679,CPH,609,Y,0,M80 AC,330,WAW,679,YYZ,193,,0,788 AC,330,YAM,21,YYZ,193,Y,0,DH1 AC,330,YBC,27,YUL,146,Y,0,DH1 AC,330,YBC,27,YYY,192,Y,0,DH1 AC,330,YBG,28,YUL,146,Y,0,DH1 AC,330,YBL,30,YQQ,119,Y,0,BEH AC,330,YCD,33,YVR,156,Y,0,DH3 AC,330,YCG,34,YVR,156,Y,0,DH3 AC,330,YCG,34,YYC,178,Y,0,DH3 AC,330,YDF,45,YHZ,73,Y,0,CRJ DH1 AC,330,YDF,45,YYR,188,Y,0,BEH AC,330,YDF,45,YYT,189,Y,0,BEH AC,330,YDF,45,YYZ,193,,0,E90 AC,330,YEG,49,DEN,3751,Y,0,CR7 CRJ 319 E70 AC,330,YEG,49,EWR,3494,Y,0,319 AC,330,YEG,49,IAH,3550,Y,0,738 320 737 319 AC,330,YEG,49,LHR,507,,0,763 AC,330,YEG,49,ORD,3830,Y,0,E70 CR7 AC,330,YEG,49,SFO,3469,Y,0,CR7 AC,330,YEG,49,YMM,90,Y,0,DH4 AC,330,YEG,49,YOW,100,,0,E90 AC,330,YEG,49,YQR,120,Y,0,DH3 AC,330,YEG,49,YQU,122,Y,0,DH3 AC,330,YEG,49,YUL,146,,0,320 AC,330,YEG,49,YVR,156,,0,E90 320 319 AC,330,YEG,49,YWG,160,Y,0,CRJ AC,330,YEG,49,YXE,166,Y,0,DH3 AC,330,YEG,49,YYC,178,Y,0,DH4 CRJ DH3 AC,330,YEG,49,YYZ,193,,0,320 319 E90 AC,330,YEG,49,YZF,196,Y,0,CRJ AC,330,YFC,56,YHZ,73,,0,BEH AC,330,YFC,56,YOW,100,Y,0,DH1 AC,330,YFC,56,YUL,146,Y,0,DH1 DH4 AC,330,YFC,56,YYZ,193,Y,0,DH4 AC,330,YGK,61,YYZ,193,Y,0,BEH AC,330,YGP,63,YGR,65,Y,0,DH3 DH1 AC,330,YGP,63,YQB,111,Y,0,DH1 DH3 AC,330,YGR,65,YGP,63,Y,0,DH1 DH3 AC,330,YHZ,73,BOS,3448,Y,0,CRJ AC,330,YHZ,73,LHR,507,,0,763 AC,330,YHZ,73,ORD,3830,Y,0,ERJ AC,330,YHZ,73,YDF,45,Y,0,DH1 CRJ AC,330,YHZ,73,YFC,56,,0,BEH AC,330,YHZ,73,YOW,100,,0,E90 AC,330,YHZ,73,YQM,117,,0,BEH AC,330,YHZ,73,YQX,125,Y,0,CRJ CRA AC,330,YHZ,73,YQY,126,Y,0,DH1 AC,330,YHZ,73,YSJ,135,,0,BEH AC,330,YHZ,73,YUL,146,,0,320 E90 319 E75 AC,330,YHZ,73,YYG,182,,0,BEH AC,330,YHZ,73,YYR,188,Y,0,CRJ AC,330,YHZ,73,YYT,189,,0,E90 AC,330,YHZ,73,YYZ,193,,0,E90 320 763 319 AC,330,YKA,78,YVR,156,Y,0,DH3 AC,330,YKA,78,YYC,178,Y,0,DH3 AC,330,YLW,87,LAX,3484,Y,0,CR7 AC,330,YLW,87,YVR,156,Y,0,DH3 CRJ AC,330,YLW,87,YYC,178,Y,0,DH3 CRJ AC,330,YMM,90,DEN,3751,Y,0,CR7 AC,330,YMM,90,YEG,49,Y,0,DH4 AC,330,YMM,90,YVR,156,Y,0,CRJ AC,330,YMM,90,YYC,178,Y,0,CRA DH4 CRJ AC,330,YMM,90,YYZ,193,,0,E90 320 319 AC,330,YOW,100,BOS,3448,Y,0,DH1 AC,330,YOW,100,DCA,3520,Y,0,CRJ AC,330,YOW,100,FRA,340,,0,333 AC,330,YOW,100,IAD,3714,Y,0,ERJ AC,330,YOW,100,LGA,3697,Y,0,CRJ AC,330,YOW,100,LHR,507,,0,763 AC,330,YOW,100,ORD,3830,Y,0,ERJ E70 AC,330,YOW,100,YEG,49,,0,E90 320 AC,330,YOW,100,YFC,56,Y,0,DH1 AC,330,YOW,100,YHZ,73,,0,E90 AC,330,YOW,100,YQB,111,Y,0,DH1 AC,330,YOW,100,YQM,117,Y,0,CRJ AC,330,YOW,100,YUL,146,,0,E90 AC,330,YOW,100,YVR,156,,0,320 763 AC,330,YOW,100,YWG,160,Y,0,CRA AC,330,YOW,100,YXU,174,Y,0,DH1 AC,330,YOW,100,YYC,178,,0,E90 320 AC,330,YOW,100,YYT,189,Y,0,CRA AC,330,YOW,100,YYZ,193,,0,320 319 E90 763 E75 AC,330,YPR,108,YVR,156,Y,0,DH3 AC,330,YQB,111,ORD,3830,Y,0,ERJ AC,330,YQB,111,YGP,63,Y,0,DH3 DH1 AC,330,YQB,111,YOW,100,Y,0,DH1 AC,330,YQB,111,YUL,146,Y,0,DH4 DH1 DH3 AC,330,YQB,111,YYZ,193,Y,0,DH4 AC,330,YQB,111,YZV,202,Y,0,DH1 AC,330,YQF,112,YYC,178,,0,BEH AC,330,YQG,113,YYZ,193,,0,319 AC,330,YQL,116,YYC,178,Y,0,BEH AC,330,YQM,117,YHZ,73,,0,BEH AC,330,YQM,117,YOW,100,Y,0,CRJ AC,330,YQM,117,YUL,146,Y,0,DH4 AC,330,YQM,117,YYZ,193,Y,0,DH4 CRJ AC,330,YQQ,119,YVR,156,Y,0,BEH AC,330,YQR,120,DEN,3751,Y,0,CRJ AC,330,YQR,120,ORD,3830,Y,0,CRJ AC,330,YQR,120,YEG,49,Y,0,DH3 AC,330,YQR,120,YVR,156,Y,0,CRJ AC,330,YQR,120,YWG,160,Y,0,CRJ AC,330,YQR,120,YYC,178,Y,0,DH4 AC,330,YQR,120,YYZ,193,,0,E90 AC,330,YQT,121,YWG,160,Y,0,CRJ AC,330,YQT,121,YYZ,193,Y,0,CRJ DH4 AC,330,YQU,122,YEG,49,Y,0,DH3 AC,330,YQU,122,YYC,178,Y,0,DH3 DH4 AC,330,YQX,125,YHZ,73,Y,0,CRA CRJ AC,330,YQX,125,YYR,188,Y,0,BEH AC,330,YQX,125,YYT,189,Y,0,BEH AC,330,YQY,126,YHZ,73,Y,0,DH1 AC,330,YQY,126,YYZ,193,Y,0,CRJ AC,330,YQZ,127,YVR,156,Y,0,BEH AC,330,YQZ,127,YWL,162,,0,BEH AC,330,YSB,133,YYZ,193,Y,0,DH1 AC,330,YSJ,135,YHZ,73,,0,BEH AC,330,YSJ,135,YUL,146,Y,0,DH1 AC,330,YSJ,135,YYZ,193,Y,0,DH4 AC,330,YTS,143,YYZ,193,Y,0,DH1 AC,330,YTZ,144,YUL,146,Y,0,DH4 AC,330,YUL,146,AZS,5810,,0,320 AC,330,YUL,146,BDL,3825,Y,0,BEH AC,330,YUL,146,BOS,3448,Y,0,CRJ DH3 AC,330,YUL,146,BRU,302,,0,333 AC,330,YUL,146,CCC,1901,,0,319 AC,330,YUL,146,CDG,1382,,0,77W AC,330,YUL,146,CUN,1852,,0,319 AC,330,YUL,146,CZM,1800,,0,319 AC,330,YUL,146,DCA,3520,Y,0,CRJ AC,330,YUL,146,DEN,3751,,0,E90 AC,330,YUL,146,EWR,3494,Y,0,CRJ AC,330,YUL,146,FDF,2878,,0,319 AC,330,YUL,146,FLL,3533,,0,320 AC,330,YUL,146,FRA,340,,0,333 AC,330,YUL,146,GVA,1665,,0,333 AC,330,YUL,146,HOG,1910,,0,319 AC,330,YUL,146,IAD,3714,Y,0,CR7 ERJ CRJ AC,330,YUL,146,IAH,3550,Y,0,E70 AC,330,YUL,146,LAS,3877,,0,763 AC,330,YUL,146,LAX,3484,,0,319 AC,330,YUL,146,LGA,3697,,0,E75 AC,330,YUL,146,LHR,507,,0,77W AC,330,YUL,146,MBJ,1780,,0,319 AC,330,YUL,146,MCO,3878,,0,319 AC,330,YUL,146,MUC,346,Y,0,333 AC,330,YUL,146,ORD,3830,,0,E75 AC,330,YUL,146,PAP,1897,,0,763 AC,330,YUL,146,PTP,2881,,0,319 AC,330,YUL,146,PUJ,1760,,0,319 AC,330,YUL,146,SFO,3469,,0,319 AC,330,YUL,146,SNU,1918,,0,319 AC,330,YUL,146,VRA,1923,,0,320 AC,330,YUL,146,YBC,27,Y,0,DH1 AC,330,YUL,146,YBG,28,Y,0,DH1 AC,330,YUL,146,YEG,49,,0,320 AC,330,YUL,146,YFC,56,Y,0,DH4 DH1 AC,330,YUL,146,YHZ,73,,0,320 E90 E75 319 AC,330,YUL,146,YOW,100,,0,E90 320 AC,330,YUL,146,YQB,111,Y,0,DH3 DH1 DH4 AC,330,YUL,146,YQM,117,Y,0,DH4 AC,330,YUL,146,YSJ,135,Y,0,DH1 AC,330,YUL,146,YTZ,144,Y,0,DH4 AC,330,YUL,146,YUY,149,Y,0,DH1 AC,330,YUL,146,YVO,153,Y,0,DH1 AC,330,YUL,146,YVR,156,,0,321 320 333 319 AC,330,YUL,146,YWG,160,Y,0,CRA AC,330,YUL,146,YYC,178,,0,E90 319 320 AC,330,YUL,146,YYG,182,Y,0,DH4 AC,330,YUL,146,YYT,189,,0,E90 AC,330,YUL,146,YYY,192,Y,0,DH1 AC,330,YUL,146,YYZ,193,,0,321 320 319 333 763 E75 AC,330,YUL,146,YZV,202,Y,0,DH1 AC,330,YUL,146,ZBF,5538,Y,0,DH3 DH1 AC,330,YUL,146,ZRH,1678,,0,330 AC,330,YUL,146,ZSA,1956,,0,319 AC,330,YUY,149,YUL,146,Y,0,DH1 AC,330,YUY,149,YVO,153,Y,0,DH1 AC,330,YVO,153,YUL,146,Y,0,DH1 AC,330,YVO,153,YUY,149,Y,0,DH1 AC,330,YVR,156,AKL,2006,,0,772 AC,330,YVR,156,DEN,3751,Y,0,320 319 CR7 737 739 AC,330,YVR,156,EWR,3494,,0,319 AC,330,YVR,156,FRA,340,Y,0,744 AC,330,YVR,156,HKG,3077,,0,77W AC,330,YVR,156,HND,2359,,0,763 AC,330,YVR,156,HNL,3728,,0,763 AC,330,YVR,156,ICN,3930,,0,763 AC,330,YVR,156,LAS,3877,,0,319 AC,330,YVR,156,LAX,3484,,0,319 AC,330,YVR,156,LHR,507,,0,77W AC,330,YVR,156,MEX,1824,,0,319 AC,330,YVR,156,MUC,346,Y,0,333 AC,330,YVR,156,NRT,2279,,0,763 AC,330,YVR,156,OGG,3456,,0,763 AC,330,YVR,156,ORD,3830,Y,0,320 319 738 737 AC,330,YVR,156,PDX,3720,Y,0,DH3 AC,330,YVR,156,PEK,3364,,0,77W 330 AC,330,YVR,156,PVG,3406,,0,763 AC,330,YVR,156,PVR,1836,,0,319 AC,330,YVR,156,SEA,3577,Y,0,DH3 AC,330,YVR,156,SFO,3469,,0,E90 320 319 AC,330,YVR,156,SYD,3361,,0,77L AC,330,YVR,156,YBL,30,,1,BEH AC,330,YVR,156,YCD,33,Y,0,DH3 AC,330,YVR,156,YCG,34,Y,0,DH3 AC,330,YVR,156,YEG,49,,0,E90 320 AC,330,YVR,156,YKA,78,Y,0,DH3 AC,330,YVR,156,YLW,87,Y,0,DH3 CRJ AC,330,YVR,156,YMM,90,Y,0,CRJ AC,330,YVR,156,YOW,100,,0,320 763 AC,330,YVR,156,YPR,108,Y,0,DH3 AC,330,YVR,156,YQR,120,Y,0,CRJ AC,330,YVR,156,YQZ,127,,0,BEH AC,330,YVR,156,YUL,146,,0,333 320 321 AC,330,YVR,156,YWG,160,,0,E90 AC,330,YVR,156,YWL,162,Y,0,BEH AC,330,YVR,156,YXC,164,Y,0,DH3 AC,330,YVR,156,YXE,166,Y,0,CRJ AC,330,YVR,156,YXJ,168,Y,0,DH4 AC,330,YVR,156,YXS,172,Y,0,DH4 AC,330,YVR,156,YXT,173,Y,0,DH3 AC,330,YVR,156,YXY,176,,0,E90 AC,330,YVR,156,YYC,178,,0,E90 319 320 AC,330,YVR,156,YYD,179,Y,0,DH3 AC,330,YVR,156,YYF,181,Y,0,DH3 AC,330,YVR,156,YYJ,184,Y,0,DH3 DH4 AC,330,YVR,156,YYZ,193,,0,320 319 77L 321 77W 763 AC,330,YVR,156,YZP,198,Y,0,DH3 AC,330,YWG,160,DEN,3751,Y,0,ERJ CRJ AC,330,YWG,160,ORD,3830,Y,0,CRJ ERJ AC,330,YWG,160,YEG,49,Y,0,CRJ AC,330,YWG,160,YOW,100,Y,0,CRA AC,330,YWG,160,YQR,120,Y,0,CRJ AC,330,YWG,160,YQT,121,Y,0,CRJ AC,330,YWG,160,YUL,146,Y,0,CRA AC,330,YWG,160,YVR,156,,0,E90 320 AC,330,YWG,160,YXE,166,Y,0,CRJ AC,330,YWG,160,YYC,178,Y,0,CRA AC,330,YWG,160,YYZ,193,,0,E90 320 319 AC,330,YWK,161,YYR,188,Y,0,BEH AC,330,YWK,161,YZV,202,Y,0,DH1 AC,330,YWL,162,YQZ,127,Y,0,BEH AC,330,YWL,162,YVR,156,,0,BEH AC,330,YXC,164,YVR,156,Y,0,DH3 AC,330,YXC,164,YYC,178,Y,0,BEH AC,330,YXE,166,DEN,3751,Y,0,ERJ AC,330,YXE,166,YEG,49,Y,0,DH3 AC,330,YXE,166,YVR,156,Y,0,CRJ AC,330,YXE,166,YWG,160,Y,0,CRJ AC,330,YXE,166,YYC,178,Y,0,DH4 AC,330,YXE,166,YYZ,193,,0,E90 AC,330,YXH,167,YYC,178,Y,0,BEH AC,330,YXJ,168,YVR,156,Y,0,DH4 AC,330,YXS,172,YVR,156,Y,0,DH4 AC,330,YXT,173,YVR,156,Y,0,DH3 AC,330,YXU,174,ORD,3830,Y,0,CRJ AC,330,YXU,174,YOW,100,Y,0,DH1 AC,330,YXU,174,YYZ,193,Y,0,DH1 DH4 AC,330,YXY,176,YVR,156,,0,E90 AC,330,YYB,177,YYZ,193,Y,0,DH1 AC,330,YYC,178,CUN,1852,,0,319 AC,330,YYC,178,DEN,3751,Y,0,CRJ 738 737 CR7 AC,330,YYC,178,EWR,3494,,0,E90 AC,330,YYC,178,FRA,340,,0,77W AC,330,YYC,178,IAH,3550,Y,0,738 CRA 320 739 AC,330,YYC,178,LAS,3877,,0,319 AC,330,YYC,178,LAX,3484,,0,319 AC,330,YYC,178,LHR,507,,0,333 AC,330,YYC,178,NRT,2279,,0,763 AC,330,YYC,178,ORD,3830,Y,0,737 CR7 738 320 AC,330,YYC,178,PDX,3720,Y,0,CRJ AC,330,YYC,178,PVR,1836,,0,319 AC,330,YYC,178,SFO,3469,Y,0,CR7 AC,330,YYC,178,SJD,1840,,0,319 AC,330,YYC,178,VRA,1923,,0,319 AC,330,YYC,178,YCG,34,Y,0,DH3 AC,330,YYC,178,YEG,49,Y,0,DH3 CRJ DH4 AC,330,YYC,178,YKA,78,Y,0,DH3 AC,330,YYC,178,YLW,87,Y,0,DH3 CRJ AC,330,YYC,178,YMM,90,Y,0,DH4 CRJ CRA AC,330,YYC,178,YOW,100,,0,E90 320 AC,330,YYC,178,YQF,112,,0,BEH AC,330,YYC,178,YQL,116,Y,0,BEH AC,330,YYC,178,YQR,120,Y,0,DH4 AC,330,YYC,178,YQU,122,Y,0,DH3 DH4 AC,330,YYC,178,YUL,146,,0,E90 319 320 AC,330,YYC,178,YVR,156,,0,E90 320 319 321 AC,330,YYC,178,YWG,160,Y,0,CRA AC,330,YYC,178,YXC,164,Y,0,BEH AC,330,YYC,178,YXE,166,Y,0,DH4 AC,330,YYC,178,YXH,167,Y,0,BEH AC,330,YYC,178,YYJ,184,Y,0,DH4 AC,330,YYC,178,YYZ,193,,0,321 320 319 E90 AC,330,YYC,178,YZF,196,Y,0,CRJ AC,330,YYD,179,YVR,156,Y,0,DH3 AC,330,YYF,181,YVR,156,Y,0,DH3 AC,330,YYG,182,YHZ,73,,0,BEH AC,330,YYG,182,YUL,146,Y,0,DH4 AC,330,YYG,182,YYZ,193,Y,0,CRJ AC,330,YYJ,184,SFO,3469,Y,0,CRJ AC,330,YYJ,184,YVR,156,Y,0,DH3 DH4 AC,330,YYJ,184,YYC,178,Y,0,DH4 AC,330,YYJ,184,YYZ,193,,0,320 AC,330,YYR,188,YDF,45,Y,0,BEH AC,330,YYR,188,YHZ,73,Y,0,CRJ AC,330,YYR,188,YQX,125,Y,0,BEH AC,330,YYR,188,YWK,161,Y,0,BEH AC,330,YYR,188,YYT,189,Y,0,CRJ AC,330,YYT,189,LHR,507,,0,319 AC,330,YYT,189,YDF,45,Y,0,BEH AC,330,YYT,189,YHZ,73,,0,E90 AC,330,YYT,189,YOW,100,Y,0,CRA AC,330,YYT,189,YQX,125,Y,0,BEH AC,330,YYT,189,YUL,146,,0,E90 319 320 AC,330,YYT,189,YYR,188,Y,0,CRJ AC,330,YYT,189,YYZ,193,,0,320 319 E90 AC,330,YYY,192,YBC,27,Y,0,DH1 AC,330,YYY,192,YUL,146,Y,0,DH1 AC,330,YYZ,193,ANU,2874,,0,320 AC,330,YYZ,193,ATL,3682,Y,0,CRA CRJ AC,330,YYZ,193,AUA,2895,,0,319 AC,330,YYZ,193,AUH,2179,,0,77W AC,330,YYZ,193,AZS,5810,,0,319 AC,330,YYZ,193,BCN,1218,Y,0,763 AC,330,YYZ,193,BDA,4069,,0,319 AC,330,YYZ,193,BDL,3825,Y,0,BEH AC,330,YYZ,193,BGI,2875,,0,319 AC,330,YYZ,193,BNA,3690,Y,0,CRJ AC,330,YYZ,193,BOG,2709,,0,763 AC,330,YYZ,193,BOS,3448,,0,E90 E75 AC,330,YYZ,193,BWI,3849,Y,0,DH1 AC,330,YYZ,193,CCC,1901,,0,319 AC,330,YYZ,193,CDG,1382,,0,77W AC,330,YYZ,193,CLE,3486,Y,0,DH1 AC,330,YYZ,193,CLT,3876,Y,0,CRJ AC,330,YYZ,193,CMH,3759,Y,0,DH1 AC,330,YYZ,193,CPH,609,,0,763 AC,330,YYZ,193,CUN,1852,,0,319 AC,330,YYZ,193,CVG,3488,Y,0,CRJ AC,330,YYZ,193,DCA,3520,,0,E75 AC,330,YYZ,193,DEN,3751,,0,E90 AC,330,YYZ,193,DFW,3670,,0,E75 AC,330,YYZ,193,DTW,3645,Y,0,BEH CRJ AC,330,YYZ,193,DUB,599,Y,0,763 AC,330,YYZ,193,EWR,3494,,0,E75 E90 AC,330,YYZ,193,FCO,1555,,0,333 AC,330,YYZ,193,FLL,3533,,0,320 AC,330,YYZ,193,FRA,340,,0,77W AC,330,YYZ,193,GCM,1926,,0,E90 AC,330,YYZ,193,GGT,1941,,0,E90 AC,330,YYZ,193,GND,2882,,0,319 AC,330,YYZ,193,GRU,2564,,0,763 AC,330,YYZ,193,HAV,1909,,0,E90 AC,330,YYZ,193,HKG,3077,,0,77L AC,330,YYZ,193,HOG,1910,,0,319 AC,330,YYZ,193,IAD,3714,Y,0,CRJ ERJ CR7 AC,330,YYZ,193,IAH,3550,Y,0,CRA AC,330,YYZ,193,IND,3585,Y,0,CRJ AC,330,YYZ,193,IST,1701,,0,77W 763 AC,330,YYZ,193,JFK,3797,Y,0,CRA AC,330,YYZ,193,KIN,1779,,0,319 AC,330,YYZ,193,LAS,3877,,0,763 319 AC,330,YYZ,193,LAX,3484,,0,321 320 AC,330,YYZ,193,LGA,3697,,0,E90 E75 AC,330,YYZ,193,LHR,507,,0,763 77L 77W 333 AC,330,YYZ,193,LIM,2789,,0,763 AC,330,YYZ,193,LIR,1881,,0,319 AC,330,YYZ,193,MBJ,1780,,0,319 AC,330,YYZ,193,MCI,3458,Y,0,CRJ AC,330,YYZ,193,MCO,3878,,0,319 AC,330,YYZ,193,MDT,3542,Y,0,BEH AC,330,YYZ,193,MEX,1824,,0,319 AC,330,YYZ,193,MIA,3576,,0,E90 AC,330,YYZ,193,MKE,3717,Y,0,CRJ AC,330,YYZ,193,MSP,3858,Y,0,CRA CRJ AC,330,YYZ,193,MSY,3861,Y,0,CRA AC,330,YYZ,193,MUC,346,,0,77W AC,330,YYZ,193,NAS,1953,,0,319 AC,330,YYZ,193,NRT,2279,,0,77W AC,330,YYZ,193,ORD,3830,,0,E75 AC,330,YYZ,193,PEK,3364,,0,77W AC,330,YYZ,193,PHL,3752,,0,E75 AC,330,YYZ,193,PHX,3462,,0,319 AC,330,YYZ,193,PIT,3570,Y,0,DH1 AC,330,YYZ,193,PLS,1754,,0,E90 AC,330,YYZ,193,POP,1761,,0,319 AC,330,YYZ,193,PUJ,1760,,0,319 AC,330,YYZ,193,PVG,3406,,0,77L AC,330,YYZ,193,RDU,3626,Y,0,CRJ AC,330,YYZ,193,ROC,3622,Y,0,BEH AC,330,YYZ,193,RSW,3793,,0,320 AC,330,YYZ,193,SAN,3731,,0,319 AC,330,YYZ,193,SCL,2650,,0,763 AC,330,YYZ,193,SEA,3577,,0,E90 AC,330,YYZ,193,SFO,3469,,0,320 AC,330,YYZ,193,SJO,1885,,0,319 AC,330,YYZ,193,SNU,1918,,0,319 AC,330,YYZ,193,STL,3678,Y,0,CRJ AC,330,YYZ,193,SYR,3745,Y,0,BEH AC,330,YYZ,193,TLV,1590,,0,763 AC,330,YYZ,193,TPA,3646,,0,319 AC,330,YYZ,193,UVF,2894,,0,319 AC,330,YYZ,193,VIE,1613,Y,0,763 AC,330,YYZ,193,VRA,1923,,0,319 AC,330,YYZ,193,WAW,679,,0,788 AC,330,YYZ,193,YAM,21,Y,0,DH1 AC,330,YYZ,193,YDF,45,,0,E90 AC,330,YYZ,193,YEG,49,,0,320 319 E90 AC,330,YYZ,193,YFC,56,Y,0,DH4 AC,330,YYZ,193,YGK,61,Y,0,BEH AC,330,YYZ,193,YHZ,73,,0,320 E90 319 763 AC,330,YYZ,193,YMM,90,,0,E90 320 319 AC,330,YYZ,193,YOW,100,,0,E90 319 320 763 E75 AC,330,YYZ,193,YQB,111,Y,0,DH4 AC,330,YYZ,193,YQG,113,,0,319 AC,330,YYZ,193,YQM,117,Y,0,DH4 CRJ AC,330,YYZ,193,YQR,120,,0,E90 AC,330,YYZ,193,YQT,121,Y,0,DH4 CRJ AC,330,YYZ,193,YQY,126,Y,0,CRJ AC,330,YYZ,193,YSB,133,Y,0,DH1 AC,330,YYZ,193,YSJ,135,Y,0,DH4 AC,330,YYZ,193,YTS,143,Y,0,DH1 AC,330,YYZ,193,YUL,146,,0,319 321 320 E90 333 763 E75 AC,330,YYZ,193,YVR,156,,0,321 320 77W 763 77L 319 333 AC,330,YYZ,193,YWG,160,,0,320 E90 319 AC,330,YYZ,193,YXE,166,,0,E90 AC,330,YYZ,193,YXU,174,Y,0,DH1 DH4 AC,330,YYZ,193,YYB,177,Y,0,DH1 AC,330,YYZ,193,YYC,178,,0,320 321 319 AC,330,YYZ,193,YYG,182,Y,0,CRJ AC,330,YYZ,193,YYJ,184,,0,320 AC,330,YYZ,193,YYT,189,,0,320 E90 319 AC,330,YYZ,193,YZR,199,Y,0,BEH AC,330,YYZ,193,ZRH,1678,,0,333 AC,330,YZF,196,YEG,49,Y,0,CRJ AC,330,YZF,196,YYC,178,Y,0,CRJ AC,330,YZP,198,YVR,156,Y,0,DH3 AC,330,YZR,199,YYZ,193,Y,0,BEH AC,330,YZV,202,YQB,111,Y,0,DH1 AC,330,YZV,202,YUL,146,Y,0,DH1 AC,330,YZV,202,YWK,161,Y,0,DH1 AC,330,ZBF,5538,YUL,146,Y,0,DH3 DH1 AC,330,ZRH,1678,YUL,146,,0,330 AC,330,ZRH,1678,YYZ,193,,0,333 AC,330,ZSA,1956,PLS,1754,,0,319 AD,13983,AAX,7395,POJ,8237,,0,AT4 AD,13983,AFL,2524,CGB,2548,,0,E90 AD,13983,AJU,2522,MCZ,2590,,0,E95 AT7 AD,13983,AJU,2522,REC,2610,,0,AT7 AD,13983,AJU,2522,SSA,2621,,0,AT7 AD,13983,AJU,2522,VCP,2578,,0,E95 E90 AD,13983,AQA,2521,VCP,2578,,0,AT7 AD,13983,ARU,2525,GRU,2564,,0,AT7 AD,13983,ARU,2525,VCP,2578,,0,AT7 AD,13983,ATM,2566,BEL,2526,,0,AT7 E95 AD,13983,ATM,2566,STM,4092,,0,AT7 AD,13983,AUX,7376,BSB,2531,,0,AT7 AD,13983,AUX,7376,MAB,2584,,0,AT7 AD,13983,AUX,7376,PMW,4214,,0,AT7 AD,13983,BAZ,7399,MAO,2551,,0,AT4 AD,13983,BEL,2526,ATM,2566,,0,AT7 E95 AD,13983,BEL,2526,CKS,7532,,0,AT7 AD,13983,BEL,2526,CNF,2537,,0,E95 AD,13983,BEL,2526,FOR,2559,,0,E95 AD,13983,BEL,2526,IMP,2572,,0,E95 AD,13983,BEL,2526,MAB,2584,,0,AT7 AD,13983,BEL,2526,MAO,2551,,0,E95 AD,13983,BEL,2526,MCP,2591,,0,AT7 AD,13983,BEL,2526,STM,4092,,0,AT7 AD,13983,BPS,4209,CNF,2537,,0,E95 AD,13983,BPS,4209,SDU,2612,,0,E90 AD,13983,BPS,4209,SSA,2621,,0,AT7 AD,13983,BPS,4209,VCP,2578,,0,E95 AD,13983,BRA,7373,BSB,2531,,0,AT7 AD,13983,BRA,7373,SSA,2621,,0,AT7 AD,13983,BSB,2531,AUX,7376,,0,AT7 AD,13983,BSB,2531,BRA,7373,,0,AT7 AD,13983,BSB,2531,CGB,2548,,0,E95 AD,13983,BSB,2531,CNF,2537,,0,E95 AD,13983,BSB,2531,GRU,2564,,0,E95 E90 AD,13983,BSB,2531,MAB,2584,,0,E95 AD,13983,BSB,2531,PMW,4214,,0,AT7 AD,13983,BSB,2531,UDI,2633,,0,AT7 AD,13983,BSB,2531,VCP,2578,,0,E95 E90 AD,13983,BVB,2533,MAO,2551,,0,AT7 AD,13983,BVH,2637,CGB,2548,,0,AT7 AD,13983,BYO,8242,VCP,2578,,0,AT7 AD,13983,CAC,2535,CWB,2545,,0,AT7 AD,13983,CAC,2535,VCP,2578,,0,AT7 AD,13983,CAW,2543,SDU,2612,,0,AT7 AD,13983,CCM,2541,VCP,2578,,0,AT7 AD,13983,CFB,7364,PLU,2528,,0,AT7 AD,13983,CFB,7364,VCP,2578,,0,AT7 AD,13983,CGB,2548,AFL,2524,,0,E90 AD,13983,CGB,2548,BSB,2531,,0,E95 AD,13983,CGB,2548,BVH,2637,,0,AT7 AD,13983,CGB,2548,CGR,2538,,0,AT7 E75 AD,13983,CGB,2548,CNF,2537,,0,E95 E90 AD,13983,CGB,2548,GRU,2564,,0,E90 E95 AD,13983,CGB,2548,GYN,2562,,0,E90 E95 AD,13983,CGB,2548,JPR,6073,,0,AT7 AD,13983,CGB,2548,LDB,2581,,0,E90 AD,13983,CGB,2548,MGF,2586,,0,E90 AD,13983,CGB,2548,OAL,9771,,0,E90 AT7 AD,13983,CGB,2548,OPS,7367,,0,E95 AD,13983,CGB,2548,PVH,2607,,0,E95 E90 AD,13983,CGB,2548,ROO,7382,,0,AT7 AD,13983,CGB,2548,SJP,2619,,0,AT7 AD,13983,CGB,2548,VCP,2578,,0,E90 E95 AD,13983,CGH,2618,SDU,2612,,0,E90 AD,13983,CGR,2538,CGB,2548,,0,AT7 E75 AD,13983,CGR,2538,CMG,2544,,0,AT7 AD,13983,CGR,2538,GRU,2564,,0,E95 AD,13983,CGR,2538,VCP,2578,,0,E95 E90 E75 AD,13983,CIZ,7398,MAO,2551,,0,AT4 AD,13983,CKS,7532,BEL,2526,,0,AT7 AD,13983,CKS,7532,CNF,2537,,0,E95 AD,13983,CKS,7532,MAB,2584,,0,E95 AD,13983,CLV,4215,VCP,2578,,0,E90 E95 AD,13983,CMG,2544,CGR,2538,,0,AT7 AD,13983,CNF,2537,BEL,2526,,0,E95 AD,13983,CNF,2537,BPS,4209,,0,E95 AD,13983,CNF,2537,BSB,2531,,0,E95 AD,13983,CNF,2537,CGB,2548,,0,E95 E90 AD,13983,CNF,2537,CKS,7532,,0,E95 AD,13983,CNF,2537,CPV,2577,,0,E90 AD,13983,CNF,2537,CWB,2545,,0,E95 E90 AD,13983,CNF,2537,FOR,2559,,0,E95 AD,13983,CNF,2537,GRU,2564,,0,E90 E95 AD,13983,CNF,2537,GYN,2562,,0,E90 AD,13983,CNF,2537,IMP,2572,,0,E95 AD,13983,CNF,2537,IPN,2570,,0,AT7 AD,13983,CNF,2537,IZA,8180,,0,AT7 AD,13983,CNF,2537,MAO,2551,,0,E95 AD,13983,CNF,2537,MOC,2587,,0,E90 E95 AD,13983,CNF,2537,POA,2599,,0,E95 AD,13983,CNF,2537,RAO,2613,,0,AT7 AD,13983,CNF,2537,REC,2610,,0,E90 E95 AD,13983,CNF,2537,SDU,2612,,0,E90 E95 AD,13983,CNF,2537,SLZ,2616,,0,E95 AD,13983,CNF,2537,SSA,2621,,0,E95 AD,13983,CNF,2537,UBA,2635,,0,AT7 AD,13983,CNF,2537,UDI,2633,,0,E95 AD,13983,CNF,2537,VCP,2578,,0,E95 E90 AD,13983,CNF,2537,VDC,6039,,0,AT7 AD,13983,CNF,2537,VIX,2638,,0,E95 E90 AD,13983,CPV,2577,PNZ,2604,,0,E90 AD,13983,CWB,2545,CAC,2535,,0,AT7 AD,13983,CWB,2545,CNF,2537,,0,E95 AD,13983,CWB,2545,CXJ,2547,,0,AT7 AD,13983,CWB,2545,GRU,2564,,0,E95 E90 AD,13983,CWB,2545,IGU,2554,,0,E95 AD,13983,CWB,2545,LDB,2581,,0,E90 AT7 AD,13983,CWB,2545,MGF,2586,,0,E90 AD,13983,CWB,2545,POA,2599,,0,E95 AD,13983,CWB,2545,SDU,2612,,0,E90 AD,13983,CWB,2545,VCP,2578,,0,E95 E90 AD,13983,CXJ,2547,CWB,2545,,0,AT7 AD,13983,CXJ,2547,VCP,2578,,0,E95 AD,13983,DOU,7380,VCP,2578,,0,AT7 AD,13983,ERN,8247,TFF,2624,,0,AT4 AD,13983,FEN,2556,NAT,2597,,0,AT7 AD,13983,FEN,2556,REC,2610,,0,E95 AD,13983,FLN,2555,VCP,2578,,0,E95 E90 AD,13983,FOR,2559,BEL,2526,,0,E95 AD,13983,FOR,2559,CNF,2537,,0,E95 AD,13983,FOR,2559,JPA,2575,,0,AT7 AD,13983,FOR,2559,NAT,2597,,0,E95 AD,13983,FOR,2559,PHB,\N,,0,AT7 AD,13983,FOR,2559,REC,2610,,0,E95 AD,13983,FOR,2559,SLZ,2616,,0,E95 AD,13983,FOR,2559,THE,2623,,0,E95 AD,13983,FOR,2559,VCP,2578,,0,E95 E90 AD,13983,GIG,2560,VCP,2578,,0,E95 E90 AD,13983,GRU,2564,ARU,2525,,0,AT7 AD,13983,GRU,2564,BSB,2531,,0,E95 AD,13983,GRU,2564,CGB,2548,,0,E95 E90 AD,13983,GRU,2564,CGR,2538,,0,E95 AD,13983,GRU,2564,CNF,2537,,0,E90 E95 AD,13983,GRU,2564,CWB,2545,,0,E95 E90 AD,13983,GRU,2564,GYN,2562,,0,E95 AD,13983,GRU,2564,IOS,2569,,0,E95 AD,13983,GRU,2564,IPN,2570,,0,AT7 AD,13983,GRU,2564,NVT,2595,,0,E95 AD,13983,GRU,2564,PLU,2528,,0,AT7 AD,13983,GRU,2564,POA,2599,,0,E95 E90 AD,13983,GRU,2564,REC,2610,,0,E95 AD,13983,GRU,2564,SDU,2612,,0,E90 E95 AD,13983,GRU,2564,SSA,2621,,0,E95 AD,13983,GVR,6735,PLU,2528,,0,AT7 AD,13983,GYN,2562,CGB,2548,,0,E90 E95 AD,13983,GYN,2562,CNF,2537,,0,E90 AD,13983,GYN,2562,GRU,2564,,0,E95 AD,13983,GYN,2562,PMW,4214,,0,E95 E90 AD,13983,GYN,2562,SDU,2612,,0,E90 AD,13983,GYN,2562,VCP,2578,,0,E95 E90 AD,13983,IGU,2554,CWB,2545,,0,E95 AD,13983,IGU,2554,POA,2599,,0,AT7 AD,13983,IGU,2554,VCP,2578,,0,E95 E90 AD,13983,IMP,2572,BEL,2526,,0,E95 AD,13983,IMP,2572,CNF,2537,,0,E95 AD,13983,IOS,2569,GRU,2564,,0,E95 AD,13983,IOS,2569,SSA,2621,,0,AT7 E95 AD,13983,IOS,2569,VCP,2578,,0,E95 AD,13983,IPN,2570,CNF,2537,,0,AT7 AD,13983,IPN,2570,GRU,2564,,0,AT7 AD,13983,IPN,2570,PLU,2528,,0,AT4 AD,13983,IRZ,8258,TFF,2624,,0,AT4 AD,13983,ITB,2568,STM,4092,,0,AT7 AD,13983,IZA,8180,CNF,2537,,0,AT7 AD,13983,IZA,8180,VCP,2578,,0,AT7 AD,13983,JDO,6034,VCP,2578,,0,E90 AD,13983,JOI,2576,POA,2599,,0,AT7 AD,13983,JOI,2576,VCP,2578,,0,E95 AT7 AD,13983,JPA,2575,FOR,2559,,0,AT7 AD,13983,JPA,2575,SSA,2621,,0,AT7 AD,13983,JPA,2575,VCP,2578,,0,E95 AD,13983,JPR,6073,CGB,2548,,0,AT7 AD,13983,JTC,8238,MII,6038,,0,AT7 AD,13983,JTC,8238,VCP,2578,,0,AT7 AD,13983,LDB,2581,CGB,2548,,0,E90 AD,13983,LDB,2581,CWB,2545,,0,AT7 E90 AD,13983,LDB,2581,MGF,2586,,0,AT7 AD,13983,LDB,2581,POA,2599,,0,AT7 AD,13983,LDB,2581,VCP,2578,,0,E90 E95 AT7 AD,13983,LEC,6036,SSA,2621,,0,AT7 AD,13983,MAB,2584,AUX,7376,,0,AT7 AD,13983,MAB,2584,BEL,2526,,0,AT7 AD,13983,MAB,2584,BSB,2531,,0,E95 AD,13983,MAB,2584,CKS,7532,,0,E95 AD,13983,MAB,2584,TUR,2629,,0,AT7 AD,13983,MAO,2551,BAZ,7399,,0,AT4 AD,13983,MAO,2551,BEL,2526,,0,E95 AD,13983,MAO,2551,BVB,2533,,0,AT7 AD,13983,MAO,2551,CIZ,7398,,0,AT4 AD,13983,MAO,2551,CNF,2537,,0,E95 AD,13983,MAO,2551,PIN,7372,,0,AT7 AD,13983,MAO,2551,PVH,2607,,0,E95 AT7 AD,13983,MAO,2551,STM,4092,,0,AT7 AD,13983,MAO,2551,TBT,2628,,0,E95 AD,13983,MAO,2551,TFF,2624,,0,AT4 E95 AD,13983,MAO,2551,VCP,2578,,0,E95 AD,13983,MCP,2591,BEL,2526,,0,AT7 AD,13983,MCZ,2590,AJU,2522,,0,E95 E90 AT7 AD,13983,MCZ,2590,REC,2610,,0,AT7 AD,13983,MCZ,2590,VCP,2578,,0,E95 AD,13983,MEA,6037,SDU,2612,,0,AT4 AD,13983,MEA,6037,VCP,2578,,0,AT4 AD,13983,MGF,2586,CGB,2548,,0,E90 AD,13983,MGF,2586,CWB,2545,,0,E90 AD,13983,MGF,2586,LDB,2581,,0,AT7 AD,13983,MGF,2586,POA,2599,,0,AT7 AD,13983,MGF,2586,VCP,2578,,0,E90 AT7 AD,13983,MII,6038,JTC,8238,,0,AT7 AD,13983,MII,6038,VCP,2578,,0,AT7 AD,13983,MOC,2587,CNF,2537,,0,E95 E90 AD,13983,MOC,2587,PLU,2528,,0,AT7 AD,13983,NAT,2597,CNF,2537,,0,E95 AD,13983,NAT,2597,FEN,2556,,0,AT7 AD,13983,NAT,2597,REC,2610,,0,AT7 E90 AD,13983,NAT,2597,VCP,2578,,0,E95 AD,13983,NVT,2595,GRU,2564,,0,E95 AD,13983,NVT,2595,POA,2599,,0,E95 E90 AD,13983,NVT,2595,VCP,2578,,0,E95 E90 AD,13983,OAL,9771,CGB,2548,,0,E90 AT7 AD,13983,OLC,8256,TFF,2624,,0,AT4 AD,13983,OPS,7367,CGB,2548,,0,E95 AD,13983,PAV,2631,SSA,2621,,0,AT7 AD,13983,PET,2603,POA,2599,,0,AT7 AD,13983,PFB,2602,POA,2599,,0,AT7 AD,13983,PFB,2602,VCP,2578,,0,AT7 AD,13983,PHB,\N,FOR,2559,,0,AT7 AD,13983,PHB,\N,THE,2623,,0,AT7 AD,13983,PIN,7372,MAO,2551,,0,AT7 AD,13983,PLU,2528,AAX,7395,,0,AT4 AD,13983,PLU,2528,CFB,7364,,0,AT7 AD,13983,PLU,2528,GRU,2564,,0,AT7 AD,13983,PLU,2528,GVR,6735,,0,AT7 AD,13983,PLU,2528,IPN,2570,,0,AT4 AD,13983,PLU,2528,MOC,2587,,0,AT7 AD,13983,PLU,2528,POJ,8237,,0,AT4 AD,13983,PLU,2528,SJK,2615,,0,AT7 AD,13983,PLU,2528,UDI,2633,,0,AT7 AD,13983,PLU,2528,VCP,2578,,0,AT7 AD,13983,PLU,2528,VDC,6039,Y,0,AT7 AD,13983,PMW,4214,AUX,7376,,0,AT7 AD,13983,PMW,4214,BSB,2531,,0,AT7 AD,13983,PMW,4214,GYN,2562,,0,E90 E95 AD,13983,PNZ,2604,CNF,2537,,0,E90 AD,13983,POA,2599,CNF,2537,,0,E95 AD,13983,POA,2599,CWB,2545,,0,E95 AD,13983,POA,2599,GRU,2564,,0,E95 E90 AD,13983,POA,2599,IGU,2554,,0,AT7 AD,13983,POA,2599,JOI,2576,,0,AT7 AD,13983,POA,2599,LDB,2581,,0,AT7 AD,13983,POA,2599,MGF,2586,,0,AT7 AD,13983,POA,2599,NVT,2595,,0,E95 E90 AD,13983,POA,2599,PET,2603,,0,AT7 AD,13983,POA,2599,PFB,2602,,0,AT7 AD,13983,POA,2599,RIA,6040,,0,AT7 AD,13983,POA,2599,SDU,2612,,0,E90 AD,13983,POA,2599,VCP,2578,,0,E95 E90 AD,13983,POA,2599,XAP,2539,,0,AT7 AD,13983,POJ,8237,PLU,2528,,0,AT4 AD,13983,PPB,2550,VCP,2578,,0,AT7 E95 AD,13983,PVH,2607,CGB,2548,,0,E90 E95 AD,13983,PVH,2607,MAO,2551,,0,E95 AT7 AD,13983,PVH,2607,RBR,2609,,0,E90 E95 AD,13983,RAO,2613,CNF,2537,,0,AT7 AD,13983,RAO,2613,SJP,2619,,0,E95 AD,13983,RAO,2613,VCP,2578,,0,E90 AT7 E95 AD,13983,RBR,2609,PVH,2607,,0,E90 E95 AD,13983,REC,2610,AJU,2522,,0,AT7 AD,13983,REC,2610,CNF,2537,,0,E90 E95 AD,13983,REC,2610,FEN,2556,,0,E95 AD,13983,REC,2610,FOR,2559,,0,E95 AD,13983,REC,2610,GRU,2564,,0,E95 AD,13983,REC,2610,MCZ,2590,,0,AT7 AD,13983,REC,2610,NAT,2597,,0,AT7 E90 AD,13983,REC,2610,SSA,2621,,0,E95 AD,13983,REC,2610,THE,2623,,0,E95 AD,13983,REC,2610,VCP,2578,,0,E95 AD,13983,RIA,6040,POA,2599,,0,AT7 AD,13983,ROO,7382,CGB,2548,,0,AT7 AD,13983,RVD,7394,VCP,2578,,0,AT4 AD,13983,SDU,2612,BPS,4209,,0,E90 AD,13983,SDU,2612,CAW,2543,,0,AT7 AD,13983,SDU,2612,CGH,2618,,0,E90 AD,13983,SDU,2612,CNF,2537,,0,E90 E95 AD,13983,SDU,2612,CWB,2545,,0,E90 AD,13983,SDU,2612,GRU,2564,,0,E90 E95 AD,13983,SDU,2612,GYN,2562,,0,E90 AD,13983,SDU,2612,MEA,6037,,0,AT4 AD,13983,SDU,2612,POA,2599,,0,E90 AD,13983,SDU,2612,SJK,2615,,0,AT7 E90 AD,13983,SDU,2612,VCP,2578,,0,E95 E90 AD,13983,SDU,2612,VIX,2638,,0,E90 E95 AD,13983,SJK,2615,PLU,2528,,0,AT7 AD,13983,SJK,2615,SDU,2612,,0,E90 AT7 AD,13983,SJL,2630,TFF,2624,,0,AT4 AD,13983,SJP,2619,CGB,2548,,0,AT7 AD,13983,SJP,2619,RAO,2613,,0,E95 AD,13983,SJP,2619,VCP,2578,,0,E95 AT7 E90 AD,13983,SLZ,2616,CNF,2537,,0,E95 AD,13983,SLZ,2616,FOR,2559,,0,E95 AD,13983,SLZ,2616,THE,2623,,0,E95 AD,13983,SSA,2621,AJU,2522,,0,AT7 AD,13983,SSA,2621,BPS,4209,,0,AT7 AD,13983,SSA,2621,BRA,7373,,0,AT7 AD,13983,SSA,2621,CNF,2537,,0,E95 AD,13983,SSA,2621,GRU,2564,,0,E95 AD,13983,SSA,2621,IOS,2569,,0,E95 AT7 AD,13983,SSA,2621,JPA,2575,,0,AT7 AD,13983,SSA,2621,LEC,6036,,0,AT7 AD,13983,SSA,2621,PAV,2631,,0,AT7 AD,13983,SSA,2621,REC,2610,,0,E95 AD,13983,SSA,2621,VCP,2578,,0,E95 E90 AD,13983,SSA,2621,VDC,6039,,0,AT7 AD,13983,SSA,2621,VIX,2638,,0,E95 AT7 E90 AD,13983,STM,4092,ATM,2566,,0,AT7 AD,13983,STM,4092,BEL,2526,,0,AT7 AD,13983,STM,4092,ITB,2568,,0,AT7 AD,13983,STM,4092,MAO,2551,,0,AT7 AD,13983,STM,4092,TMT,2622,,0,AT7 AD,13983,TBT,2628,MAO,2551,,0,E95 AD,13983,TFF,2624,ERN,8247,,0,AT4 AD,13983,TFF,2624,IRZ,8258,,0,AT4 AD,13983,TFF,2624,MAO,2551,,0,E95 AT4 AD,13983,TFF,2624,OLC,8256,,0,AT4 AD,13983,TFF,2624,SJL,2630,,0,AT4 AD,13983,THE,2623,FOR,2559,,0,E95 AD,13983,THE,2623,PHB,\N,,0,AT7 AD,13983,THE,2623,REC,2610,,0,E95 AD,13983,THE,2623,SLZ,2616,,0,E95 AD,13983,THE,2623,VCP,2578,,0,E95 AD,13983,TMT,2622,STM,4092,,0,AT7 AD,13983,TUR,2629,BEL,2526,,0,AT7 AD,13983,UBA,2635,CNF,2537,,0,AT7 AD,13983,UBA,2635,VCP,2578,,0,AT7 AD,13983,UDI,2633,BSB,2531,,0,AT7 AD,13983,UDI,2633,CNF,2537,,0,E95 AD,13983,UDI,2633,PLU,2528,,0,AT7 AD,13983,UDI,2633,VCP,2578,,0,AT7 E90 E95 AD,13983,VCP,2578,AJU,2522,,0,E95 AD,13983,VCP,2578,AQA,2521,,0,AT7 AD,13983,VCP,2578,ARU,2525,,0,AT7 AD,13983,VCP,2578,BPS,4209,,0,E95 AD,13983,VCP,2578,BSB,2531,,0,E95 E90 AD,13983,VCP,2578,BYO,8242,,0,AT7 AD,13983,VCP,2578,CAC,2535,,0,AT7 AD,13983,VCP,2578,CCM,2541,,0,AT7 AD,13983,VCP,2578,CFB,7364,,0,AT7 AD,13983,VCP,2578,CGB,2548,,0,E95 E90 AD,13983,VCP,2578,CGR,2538,,0,E95 E90 E75 AD,13983,VCP,2578,CLV,4215,,0,E90 E95 AD,13983,VCP,2578,CNF,2537,,0,E95 E90 AD,13983,VCP,2578,CWB,2545,,0,E95 E90 AD,13983,VCP,2578,CXJ,2547,,0,E95 AD,13983,VCP,2578,DOU,7380,,0,AT7 AD,13983,VCP,2578,FLN,2555,,0,E95 E90 AD,13983,VCP,2578,FOR,2559,,0,E90 E95 AD,13983,VCP,2578,GIG,2560,,0,E90 E95 AD,13983,VCP,2578,GYN,2562,,0,E95 E90 AD,13983,VCP,2578,IGU,2554,,0,E95 E90 AD,13983,VCP,2578,IOS,2569,,0,E95 AD,13983,VCP,2578,IZA,8180,,0,AT7 AD,13983,VCP,2578,JDO,6034,,0,E90 AD,13983,VCP,2578,JOI,2576,,0,AT7 E95 AD,13983,VCP,2578,JPA,2575,,0,E95 AD,13983,VCP,2578,JTC,8238,,0,AT7 AD,13983,VCP,2578,LDB,2581,,0,E95 AT7 E90 AD,13983,VCP,2578,MAO,2551,,0,E95 AD,13983,VCP,2578,MCZ,2590,,0,E95 E90 AD,13983,VCP,2578,MEA,6037,,0,AT4 AD,13983,VCP,2578,MGF,2586,,0,AT7 E90 E95 AD,13983,VCP,2578,MII,6038,,0,AT7 AD,13983,VCP,2578,NAT,2597,,0,E95 AD,13983,VCP,2578,NVT,2595,,0,E90 E95 AD,13983,VCP,2578,PFB,2602,,0,AT7 AD,13983,VCP,2578,PLU,2528,,0,AT7 AD,13983,VCP,2578,POA,2599,,0,E95 E90 AD,13983,VCP,2578,PPB,2550,,0,AT7 E95 AD,13983,VCP,2578,RAO,2613,,0,AT7 E90 E95 AD,13983,VCP,2578,REC,2610,,0,E95 AD,13983,VCP,2578,RVD,7394,,0,AT4 AD,13983,VCP,2578,SDU,2612,,0,E90 E95 AD,13983,VCP,2578,SJP,2619,,0,AT7 E95 AD,13983,VCP,2578,SSA,2621,,0,E95 E90 AD,13983,VCP,2578,THE,2623,,0,E95 AD,13983,VCP,2578,UBA,2635,,0,AT7 AD,13983,VCP,2578,UDI,2633,,0,E90 AT7 E95 AD,13983,VCP,2578,VIX,2638,,0,E95 E90 AD,13983,VCP,2578,XAP,2539,,0,AT7 E95 AD,13983,VDC,6039,CNF,2537,,0,AT7 AD,13983,VDC,6039,PLU,2528,Y,0,AT7 AD,13983,VDC,6039,SSA,2621,,0,AT7 AD,13983,VIX,2638,CNF,2537,,0,E90 E95 AD,13983,VIX,2638,SDU,2612,,0,E90 E95 AD,13983,VIX,2638,SSA,2621,,0,AT7 E95 E90 AD,13983,VIX,2638,VCP,2578,,0,E95 E90 AD,13983,XAP,2539,POA,2599,,0,AT7 AD,13983,XAP,2539,VCP,2578,,0,AT7 E95 AE,3392,CGO,3375,RMQ,2268,,0,E90 AE,3392,CGO,3375,TPE,2276,Y,0,738 333 AE,3392,CSX,3371,KHH,2264,Y,0,333 AE,3392,CSX,3371,TPE,2276,Y,0,320 738 333 AE,3392,FOC,3385,TSA,2275,,0,738 AE,3392,HAN,3199,RMQ,2268,,0,E90 AE,3392,HGH,3386,KHH,2264,Y,0,333 AE,3392,HGH,3386,RMQ,2268,,0,E90 AE,3392,HKG,3077,RMQ,2268,,0,738 E90 AE,3392,HUN,2278,KHH,2264,,0,E90 AE,3392,ICN,3930,KHH,2264,,0,E90 AE,3392,KHH,2264,CSX,3371,Y,0,333 AE,3392,KHH,2264,HGH,3386,Y,0,333 AE,3392,KHH,2264,HUN,2278,,0,E90 AE,3392,KHH,2264,ICN,3930,,0,E90 AE,3392,KHH,2264,XMN,3383,,0,E90 AE,3392,KNH,2259,RMQ,2268,,0,E90 AE,3392,KNH,2259,TSA,2275,,0,E90 AE,3392,LJG,4033,TPE,2276,,0,738 AE,3392,MXZ,6354,RMQ,2268,,0,E90 AE,3392,MZG,2272,RMQ,2268,,0,E90 AE,3392,MZG,2272,TSA,2275,,0,E90 AE,3392,NGB,3387,RMQ,2268,,0,E90 AE,3392,NGB,3387,TPE,2276,Y,0,320 333 343 AE,3392,NKG,3388,TPE,2276,Y,0,320 321 744 AE,3392,OKA,2384,RMQ,2268,,0,E90 AE,3392,RMQ,2268,CGO,3375,,0,E90 AE,3392,RMQ,2268,HAN,3199,,0,E90 AE,3392,RMQ,2268,HGH,3386,,0,E90 AE,3392,RMQ,2268,HKG,3077,,0,738 E90 AE,3392,RMQ,2268,KNH,2259,,0,E90 AE,3392,RMQ,2268,MXZ,6354,,0,E90 AE,3392,RMQ,2268,MZG,2272,,0,E90 AE,3392,RMQ,2268,NGB,3387,,0,E90 AE,3392,RMQ,2268,OKA,2384,,0,E90 AE,3392,RMQ,2268,SGN,3205,,0,E90 AE,3392,SGN,3205,RMQ,2268,,0,E90 AE,3392,SHE,4144,TPE,2276,Y,0,320 333 AE,3392,TPE,2276,CGO,3375,Y,0,738 333 AE,3392,TPE,2276,CSX,3371,Y,0,320 738 333 AE,3392,TPE,2276,LJG,4033,,0,738 AE,3392,TPE,2276,NGB,3387,Y,0,320 333 343 AE,3392,TPE,2276,NKG,3388,Y,0,320 321 744 AE,3392,TPE,2276,SHE,4144,Y,0,320 333 AE,3392,TPE,2276,XMN,3383,Y,0,343 738 333 AE,3392,TPE,2276,YNZ,6393,Y,0,738 AE,3392,TSA,2275,FOC,3385,,0,738 AE,3392,TSA,2275,KNH,2259,,0,E90 AE,3392,TSA,2275,MZG,2272,,0,E90 AE,3392,TSA,2275,TTT,2262,,0,E90 AE,3392,TSA,2275,WNZ,6392,Y,0,738 AE,3392,TTT,2262,TSA,2275,,0,E90 AE,3392,WNZ,6392,TSA,2275,Y,0,738 AE,3392,XMN,3383,KHH,2264,,0,E90 AE,3392,XMN,3383,TPE,2276,Y,0,738 343 333 AE,3392,YNZ,6393,TPE,2276,Y,0,738 AF,137,ABE,4355,ATL,3682,Y,0,CRJ AF,137,ABJ,253,CDG,1382,,0,772 AF,137,ABQ,4019,ATL,3682,Y,0,757 320 AF,137,ABV,260,CDG,1382,,0,332 AF,137,ABV,260,PHC,275,,0,332 AF,137,ABY,5715,ATL,3682,Y,0,CRJ AF,137,ABZ,532,CDG,1382,,0,E70 AF,137,AEX,3852,ATL,3682,Y,0,CRJ AF,137,AGP,1230,CDG,1382,Y,0,738 AF,137,AGS,3658,ATL,3682,Y,0,CRJ 717 AF,137,AJA,1324,LGG,309,,0,320 AF,137,AJA,1324,LYS,1335,Y,0,320 AF,137,AJA,1324,MRS,1353,Y,0,320 AT7 AF,137,AJA,1324,NCE,1354,Y,0,AT7 AF,137,AJA,1324,NTE,1418,Y,0,320 AF,137,AJA,1324,ORY,1386,,0,321 320 319 AF,137,AJA,1324,TLS,1273,Y,0,320 AF,137,ALB,3864,ATL,3682,Y,0,CR9 M88 AF,137,ALG,210,CDG,1382,,0,319 AF,137,ALG,210,MRS,1353,,0,320 319 AF,137,AMM,2170,CDG,1382,,0,320 AF,137,AMS,580,AUH,2179,Y,0,332 AF,137,AMS,580,BOD,1264,Y,0,E90 73W F70 AF,137,AMS,580,BSL,1423,Y,0,F70 E90 AF,137,AMS,580,CDG,1382,,0,321 320 319 318 32A AF,137,AMS,580,CFE,1330,Y,0,ER4 AF,137,AMS,580,DMM,2064,Y,0,332 AF,137,AMS,580,DOH,11051,Y,0,332 AF,137,AMS,580,HRE,1005,Y,0,332 AF,137,AMS,580,JRO,1180,Y,0,332 AF,137,AMS,580,KGL,1165,Y,0,332 AF,137,AMS,580,KUL,3304,Y,0,772 AF,137,AMS,580,KWI,2176,Y,0,332 AF,137,AMS,580,LCY,503,Y,0,AR8 AF,137,AMS,580,LYS,1335,,0,F70 AF,137,AMS,580,MRS,1353,,0,319 AF,137,AMS,580,NCE,1354,Y,0,73W E90 73H AF,137,AMS,580,NTE,1418,,0,ER4 AF,137,AMS,580,SXB,1435,,0,ER4 CR7 E70 AF,137,AMS,580,TLS,1273,Y,0,E90 AF,137,AMS,580,TPE,2276,Y,0,77W AF,137,AMS,580,UIO,2688,Y,0,772 AF,137,ANR,299,LCY,503,Y,0,F50 AF,137,ARN,737,CDG,1382,,0,320 321 32A 319 AF,137,ATH,3941,CDG,1382,,0,32A 319 320 321 AF,137,ATH,3941,MRS,1353,,0,319 AF,137,ATH,3941,TLS,1273,,0,320 AF,137,ATL,3682,ABE,4355,Y,0,717 AF,137,ATL,3682,ABQ,4019,Y,0,757 AF,137,ATL,3682,ABY,5715,Y,0,CRJ AF,137,ATL,3682,AEX,3852,Y,0,CRJ CR9 AF,137,ATL,3682,AGS,3658,Y,0,CRJ M88 717 AF,137,ATL,3682,ALB,3864,Y,0,M88 AF,137,ATL,3682,ATW,4047,Y,0,CR9 AF,137,ATL,3682,AUS,3673,Y,0,M90 M88 AF,137,ATL,3682,AVL,4007,Y,0,CRJ M88 AF,137,ATL,3682,AVP,4286,Y,0,CR7 AF,137,ATL,3682,BDL,3825,Y,0,M88 73W AF,137,ATL,3682,BHM,3811,Y,0,M88 AF,137,ATL,3682,BMI,4037,Y,0,CR7 CR9 AF,137,ATL,3682,BNA,3690,Y,0,M88 319 738 73H 717 320 AF,137,ATL,3682,BOS,3448,Y,0,M90 757 320 738 319 AF,137,ATL,3682,BQK,5725,Y,0,CRJ AF,137,ATL,3682,BRU,302,Y,0,76W AF,137,ATL,3682,BTR,3846,Y,0,CR7 CRJ 319 CR9 AF,137,ATL,3682,BTV,3711,Y,0,CR9 AF,137,ATL,3682,BUF,3820,Y,0,M90 M88 AF,137,ATL,3682,BWI,3849,Y,0,M90 757 320 AF,137,ATL,3682,CAE,3561,Y,0,M88 CRJ 319 717 AF,137,ATL,3682,CAK,4112,Y,0,M88 AF,137,ATL,3682,CDG,1382,,0,77W 744 772 74Y AF,137,ATL,3682,CHA,3578,Y,0,CRJ M88 AF,137,ATL,3682,CHO,4015,Y,0,CRJ AF,137,ATL,3682,CHS,3806,Y,0,320 M88 73W 717 319 AF,137,ATL,3682,CID,4043,Y,0,CRJ AF,137,ATL,3682,CLE,3486,Y,0,717 CR9 AF,137,ATL,3682,CLT,3876,Y,0,M90 M88 319 AF,137,ATL,3682,CMH,3759,Y,0,73W M88 738 AF,137,ATL,3682,COS,3819,Y,0,738 AF,137,ATL,3682,CRW,4285,Y,0,CRJ 319 AF,137,ATL,3682,CSG,4255,Y,0,CRJ AF,137,ATL,3682,CUN,1852,Y,0,M88 AF,137,ATL,3682,CVG,3488,Y,0,738 M88 319 AF,137,ATL,3682,CZM,1800,Y,0,M88 AF,137,ATL,3682,DAB,3950,Y,0,M90 AF,137,ATL,3682,DAL,3502,Y,0,CRJ AF,137,ATL,3682,DAY,3627,Y,0,M88 AF,137,ATL,3682,DCA,3520,Y,0,M88 M90 320 AF,137,ATL,3682,DEN,3751,Y,0,M90 757 738 AF,137,ATL,3682,DFW,3670,Y,0,M88 319 AF,137,ATL,3682,DHN,3739,Y,0,CRJ AF,137,ATL,3682,DSM,3729,Y,0,M88 AF,137,ATL,3682,DTW,3645,Y,0,M88 M90 757 AF,137,ATL,3682,DUB,599,Y,0,76W AF,137,ATL,3682,DUS,345,Y,0,76W AF,137,ATL,3682,ECP,7669,Y,0,717 M88 AF,137,ATL,3682,ELP,3559,Y,0,M88 AF,137,ATL,3682,EVV,4018,Y,0,CRJ AF,137,ATL,3682,EWN,3730,Y,0,CRJ AF,137,ATL,3682,EWR,3494,Y,0,717 AF,137,ATL,3682,EYW,3875,Y,0,73W CR7 AF,137,ATL,3682,FAY,5738,Y,0,CRJ 73W AF,137,ATL,3682,FCO,1555,Y,0,333 AF,137,ATL,3682,FLL,3533,Y,0,757 M90 AF,137,ATL,3682,FNT,4089,Y,0,M88 AF,137,ATL,3682,FRA,340,Y,0,764 AF,137,ATL,3682,FSM,3437,Y,0,CRJ AF,137,ATL,3682,FWA,4041,Y,0,CRJ AF,137,ATL,3682,GDL,1804,Y,0,320 AF,137,ATL,3682,GNV,3472,Y,0,CR9 717 CR7 AF,137,ATL,3682,GPT,4038,Y,0,M88 CR7 CRJ AF,137,ATL,3682,GRB,3653,Y,0,CR7 AF,137,ATL,3682,GRK,3775,Y,0,CR9 AF,137,ATL,3682,GRR,3685,Y,0,M88 320 AF,137,ATL,3682,GSO,4008,Y,0,M88 320 319 AF,137,ATL,3682,GSP,4034,Y,0,CR7 319 M88 717 CRJ AF,137,ATL,3682,GTR,4273,Y,0,CRJ AF,137,ATL,3682,HPN,3589,Y,0,CR7 AF,137,ATL,3682,HSV,4113,Y,0,717 M88 CRJ AF,137,ATL,3682,IAD,3714,Y,0,320 M88 AF,137,ATL,3682,IAH,3550,Y,0,M88 717 320 319 AF,137,ATL,3682,ICT,3457,Y,0,CR9 M88 AF,137,ATL,3682,ILM,3845,Y,0,CRJ 319 AF,137,ATL,3682,IND,3585,Y,0,320 M88 M90 AF,137,ATL,3682,JAN,3580,Y,0,717 CR9 M88 CRJ AF,137,ATL,3682,JAX,3712,Y,0,757 AF,137,ATL,3682,JFK,3797,Y,0,319 752 M88 738 AF,137,ATL,3682,LAS,3877,Y,0,757 753 AF,137,ATL,3682,LAX,3484,Y,0,76W 763 757 739 AF,137,ATL,3682,LEX,4017,Y,0,CR9 M88 CRJ 717 AF,137,ATL,3682,LFT,3493,Y,0,CRJ AF,137,ATL,3682,LGA,3697,Y,0,757 739 AF,137,ATL,3682,LHR,507,Y,0,764 77L 76W AF,137,ATL,3682,LIT,3660,Y,0,M88 AF,137,ATL,3682,MAD,1229,Y,0,764 AF,137,ATL,3682,MAN,478,Y,0,76W AF,137,ATL,3682,MCI,3458,Y,0,M88 M90 757 AF,137,ATL,3682,MCO,3878,Y,0,757 AF,137,ATL,3682,MDT,3542,Y,0,CRJ M88 AF,137,ATL,3682,MDW,3747,Y,0,319 717 320 AF,137,ATL,3682,MEM,3473,Y,0,M88 AF,137,ATL,3682,MEX,1824,Y,0,73W 73H AF,137,ATL,3682,MGM,4115,Y,0,CRJ AF,137,ATL,3682,MHT,4011,Y,0,320 AF,137,ATL,3682,MIA,3576,Y,0,M90 757 320 AF,137,ATL,3682,MKE,3717,Y,0,M90 M88 AF,137,ATL,3682,MLB,3671,Y,0,M88 AF,137,ATL,3682,MLI,4072,Y,0,CR9 CR7 AF,137,ATL,3682,MLU,3732,Y,0,CRJ AF,137,ATL,3682,MOB,3782,Y,0,CR9 717 CR7 319 CRJ AF,137,ATL,3682,MSN,3459,Y,0,320 73W CR9 AF,137,ATL,3682,MSP,3858,Y,0,320 M90 757 AF,137,ATL,3682,MSY,3861,Y,0,M90 M88 757 AF,137,ATL,3682,MTY,1825,Y,0,CR9 AF,137,ATL,3682,MUC,346,Y,0,764 AF,137,ATL,3682,MYR,3515,Y,0,CR7 M88 AF,137,ATL,3682,NAS,1953,Y,0,M88 AF,137,ATL,3682,OAJ,4386,Y,0,CRJ AF,137,ATL,3682,OKC,3863,Y,0,CR9 M88 AF,137,ATL,3682,OMA,3454,Y,0,M88 M90 AF,137,ATL,3682,ORD,3830,Y,0,757 319 320 M88 M90 AF,137,ATL,3682,ORF,3611,Y,0,M88 M90 AF,137,ATL,3682,PBI,3722,Y,0,M90 757 AF,137,ATL,3682,PDX,3720,Y,0,73H 738 AF,137,ATL,3682,PHF,3633,Y,0,CRJ AF,137,ATL,3682,PHL,3752,Y,0,320 M90 757 73H M88 AF,137,ATL,3682,PHX,3462,Y,0,757 73H 739 738 AF,137,ATL,3682,PIA,4046,Y,0,CRJ AF,137,ATL,3682,PIT,3570,Y,0,M88 CR9 AF,137,ATL,3682,PNS,3564,Y,0,M90 AF,137,ATL,3682,PTY,1871,Y,0,738 AF,137,ATL,3682,PVD,3641,Y,0,M88 AF,137,ATL,3682,PWM,3862,Y,0,M88 AF,137,ATL,3682,RDU,3626,Y,0,M88 739 320 AF,137,ATL,3682,RIC,3608,Y,0,73H M90 M88 AF,137,ATL,3682,ROA,4016,Y,0,CRJ 319 AF,137,ATL,3682,ROC,3622,Y,0,M90 M88 AF,137,ATL,3682,RSW,3793,Y,0,M90 M88 757 AF,137,ATL,3682,SAN,3731,Y,0,739 763 AF,137,ATL,3682,SAT,3621,Y,0,757 M90 320 AF,137,ATL,3682,SAV,3613,Y,0,717 M88 319 AF,137,ATL,3682,SBN,4359,Y,0,CRJ AF,137,ATL,3682,SDF,4014,Y,0,M88 M90 AF,137,ATL,3682,SEA,3577,Y,0,757 763 739 AF,137,ATL,3682,SFO,3469,Y,0,763 739 757 AF,137,ATL,3682,SGF,4348,Y,0,CRJ CR9 AF,137,ATL,3682,SHV,3609,Y,0,CRJ AF,137,ATL,3682,SJO,1885,Y,0,738 AF,137,ATL,3682,SJU,2890,Y,0,757 AF,137,ATL,3682,SLC,3536,Y,0,757 763 320 AF,137,ATL,3682,SMF,3817,Y,0,757 AF,137,ATL,3682,SNA,3867,Y,0,757 AF,137,ATL,3682,SRQ,4067,Y,0,M90 757 AF,137,ATL,3682,STL,3678,Y,0,M90 717 757 319 M88 AF,137,ATL,3682,STR,350,Y,0,76W AF,137,ATL,3682,SYR,3745,Y,0,CR9 M88 AF,137,ATL,3682,TLH,3698,Y,0,CRJ M88 319 AF,137,ATL,3682,TPA,3646,Y,0,739 757 AF,137,ATL,3682,TRI,4116,Y,0,CRJ 319 AF,137,ATL,3682,TUL,3855,Y,0,CR9 CR7 M88 AF,137,ATL,3682,TUS,3636,Y,0,M90 AF,137,ATL,3682,TYS,3676,Y,0,CRJ CR7 717 CR9 AF,137,ATL,3682,VLD,5776,Y,0,CRJ AF,137,ATL,3682,VPS,3873,Y,0,319 M88 717 AF,137,ATL,3682,XNA,4356,Y,0,CRJ CR9 717 CR7 AF,137,ATL,3682,YUL,146,Y,0,CR7 CR9 AF,137,ATL,3682,YYZ,193,Y,0,CR9 AF,137,ATW,4047,ATL,3682,Y,0,CR7 AF,137,AUH,2179,AMS,580,Y,0,330 AF,137,AUH,2179,BAH,2057,Y,0,330 AF,137,AUH,2179,CDG,1382,Y,0,346 AF,137,AUS,3673,ATL,3682,Y,0,M90 M88 AF,137,AVL,4007,ATL,3682,Y,0,CR7 CRJ AF,137,BAH,2057,AUH,2179,Y,0,332 AF,137,BCN,1218,CDG,1382,,0,321 32A 318 320 AF,137,BCN,1218,JFK,3797,Y,0,333 AF,137,BDL,3825,ATL,3682,Y,0,M88 AF,137,BEG,1739,CDG,1382,Y,0,320 AF,137,BEL,2526,STM,4092,Y,0,738 AF,137,BES,1403,CDG,1382,,0,318 321 AF,137,BES,1403,LCY,503,Y,0,F50 AF,137,BES,1403,MRS,1353,,0,319 AF,137,BES,1403,ORY,1386,,0,319 CRK AF,137,BES,1403,SOU,495,Y,0,DH4 AF,137,BEY,2177,CDG,1382,,0,772 343 AF,137,BGF,888,NSI,4161,,0,772 AF,137,BHM,3811,ATL,3682,Y,0,M88 AF,137,BHX,469,CDG,1382,,0,319 320 AF,137,BHX,469,LYS,1335,Y,0,E75 AF,137,BIA,1321,EBU,1350,Y,0,AT7 AF,137,BIA,1321,LGG,309,,0,320 AF,137,BIA,1321,LYS,1335,Y,0,320 AF,137,BIA,1321,MRS,1353,Y,0,320 AF,137,BIA,1321,NCE,1354,Y,0,AT7 AF,137,BIA,1321,NTE,1418,Y,0,320 AF,137,BIA,1321,ORY,1386,,0,321 319 AF,137,BIO,1216,CDG,1382,,0,E70 E90 AF,137,BIQ,1280,GVA,1665,Y,0,CR7 AF,137,BIQ,1280,MRS,1353,,0,320 319 AF,137,BIQ,1280,ORY,1386,,0,CRK 319 321 320 AF,137,BKK,3885,CDG,1382,,0,77W AF,137,BKK,3885,CNX,3931,Y,0,320 AF,137,BKK,3885,HKT,3179,Y,0,320 AF,137,BKK,3885,KBV,3174,Y,0,320 AF,137,BKK,3885,LPQ,3115,Y,0,AT7 AF,137,BKO,1044,CDG,1382,,0,343 AF,137,BLL,608,CDG,1382,,0,E90 AF,137,BLQ,1538,CDG,1382,,0,E90 E70 AF,137,BLQ,1538,LYS,1335,Y,0,ER4 AT5 AF,137,BLR,3131,CDG,1382,,0,332 AF,137,BMI,4037,ATL,3682,Y,0,CR7 CR9 AF,137,BNA,3690,ATL,3682,Y,0,M88 319 320 717 AF,137,BOD,1264,AMS,580,Y,0,E90 73W F70 AF,137,BOD,1264,CDG,1382,,0,321 320 32A 318 AF,137,BOD,1264,FCO,1555,Y,0,E70 E90 CR7 AF,137,BOD,1264,MRS,1353,,0,319 320 AF,137,BOD,1264,NTE,1418,Y,0,ER4 AF,137,BOD,1264,ORY,1386,,0,321 319 320 AF,137,BOG,2709,CDG,1382,,0,343 AF,137,BOM,2997,CDG,1382,,0,332 AF,137,BOS,3448,ATL,3682,Y,0,757 M90 M88 AF,137,BOS,3448,CDG,1382,,0,744 AF,137,BOS,3448,LHR,507,Y,0,764 AF,137,BQK,5725,ATL,3682,Y,0,CRJ AF,137,BRE,353,CDG,1382,,0,E70 AF,137,BRU,302,ATL,3682,Y,0,76W AF,137,BRU,302,JFK,3797,Y,0,76W AF,137,BRU,302,LYS,1335,Y,0,ER4 AF,137,BRU,302,NTE,1418,Y,0,ER4 AF,137,BSB,2531,CDG,1382,,0,772 AF,137,BSL,1423,AMS,580,Y,0,F70 E90 AF,137,BSL,1423,CDG,1382,,0,AT7 AF,137,BTR,3846,ATL,3682,Y,0,CR9 CRJ CR7 AF,137,BUD,1489,CDG,1382,,0,318 321 320 319 AF,137,BUF,3820,ATL,3682,Y,0,M90 M88 AF,137,BVE,1278,LCY,503,Y,0,AR8 AF,137,BWI,3849,ATL,3682,Y,0,M88 M90 73W 717 AF,137,BZV,883,CDG,1382,,0,343 AF,137,CAE,3561,ATL,3682,Y,0,CRJ M88 319 717 AF,137,CAI,1128,CDG,1382,,0,332 343 AF,137,CAK,4112,ATL,3682,Y,0,M88 CR9 AF,137,CAN,3370,CDG,1382,,0,772 AF,137,CAN,3370,CKG,3393,Y,0,319 AF,137,CAN,3370,HGH,3386,Y,0,321 772 AF,137,CAN,3370,SHE,4144,Y,0,320 AF,137,CAN,3370,SIN,3316,Y,0,320 AF,137,CAN,3370,WUH,3376,Y,0,738 AF,137,CAY,2774,FDF,2878,,0,32A 320 AF,137,CAY,2774,ORY,1386,,0,343 AF,137,CCS,2851,CDG,1382,,0,332 AF,137,CDG,1382,ABJ,253,,0,772 AF,137,CDG,1382,ABV,260,,0,332 AF,137,CDG,1382,ABZ,532,,0,E70 AF,137,CDG,1382,AGP,1230,Y,0,738 AF,137,CDG,1382,ALG,210,,0,319 AF,137,CDG,1382,AMM,2170,,0,320 AF,137,CDG,1382,AMS,580,,0,321 320 319 318 32A AF,137,CDG,1382,ARN,737,,0,320 321 32A 319 AF,137,CDG,1382,ATH,3941,,0,319 32A 320 321 AF,137,CDG,1382,ATL,3682,,0,77W 744 772 AF,137,CDG,1382,AUH,2179,Y,0,346 AF,137,CDG,1382,BCN,1218,,0,321 32A 318 320 AF,137,CDG,1382,BEG,1739,Y,0,320 AF,137,CDG,1382,BES,1403,,0,318 321 AF,137,CDG,1382,BEY,2177,,0,772 343 AF,137,CDG,1382,BGF,888,,0,772 AF,137,CDG,1382,BHX,469,,0,319 320 AF,137,CDG,1382,BIO,1216,,0,E90 E70 AF,137,CDG,1382,BKK,3885,,0,77W AF,137,CDG,1382,BKO,1044,,0,343 AF,137,CDG,1382,BLL,608,,0,E90 AF,137,CDG,1382,BLQ,1538,,0,E70 E90 AF,137,CDG,1382,BLR,3131,,0,332 AF,137,CDG,1382,BOD,1264,,0,321 320 32A 318 AF,137,CDG,1382,BOG,2709,,0,343 AF,137,CDG,1382,BOM,2997,,0,332 AF,137,CDG,1382,BOS,3448,,0,744 AF,137,CDG,1382,BRE,353,,0,E70 AF,137,CDG,1382,BSB,2531,,0,772 AF,137,CDG,1382,BSL,1423,,0,AT7 AF,137,CDG,1382,BUD,1489,,0,318 321 320 319 AF,137,CDG,1382,BZV,883,,0,343 AF,137,CDG,1382,CAI,1128,,0,343 332 AF,137,CDG,1382,CAN,3370,,0,772 AF,137,CDG,1382,CCS,2851,,0,332 AF,137,CDG,1382,CFE,1330,,0,E90 E70 AF,137,CDG,1382,CKY,4162,,0,332 AF,137,CDG,1382,CLY,1322,,0,320 AF,137,CDG,1382,CMN,1074,,0,320 319 321 AF,137,CDG,1382,COO,245,,0,343 AF,137,CDG,1382,CPH,609,,0,318 319 320 AF,137,CDG,1382,CVG,3488,Y,0,76W AF,137,CDG,1382,DEL,3093,,0,332 AF,137,CDG,1382,DKR,1084,,0,77W AF,137,CDG,1382,DLA,897,,0,772 AF,137,CDG,1382,DTW,3645,,0,343 AF,137,CDG,1382,DUB,599,,0,AR8 AF,137,CDG,1382,DUS,345,,0,318 320 AF,137,CDG,1382,DXB,2188,,0,77W AF,137,CDG,1382,EDI,535,,0,AR8 AF,137,CDG,1382,EVN,3964,,0,320 AF,137,CDG,1382,EWR,3494,Y,0,76W AF,137,CDG,1382,EXT,552,Y,0,DH4 AF,137,CDG,1382,EZE,3988,,0,772 AF,137,CDG,1382,FCO,1555,,0,320 321 319 32A AF,137,CDG,1382,FIH,1020,,0,343 AF,137,CDG,1382,FLR,1563,,0,318 AF,137,CDG,1382,FRA,340,,0,318 AF,137,CDG,1382,GIG,2560,,0,77W 332 AF,137,CDG,1382,GOA,1528,,0,E70 E90 AF,137,CDG,1382,GOT,687,,0,E70 E90 AF,137,CDG,1382,GRU,2564,,0,772 77W AF,137,CDG,1382,GVA,1665,,0,319 321 320 318 AF,137,CDG,1382,GYD,2922,Y,0,320 AF,137,CDG,1382,HAJ,352,,0,E70 AR8 AF,137,CDG,1382,HAM,342,,0,318 321 320 32A AF,137,CDG,1382,HAN,3199,Y,0,777 AF,137,CDG,1382,HAV,1909,,0,77W AF,137,CDG,1382,HEL,421,Y,0,E90 321 320 32B 319 AF,137,CDG,1382,HKG,3077,,0,77W AF,137,CDG,1382,HND,2359,,0,77W 772 AF,137,CDG,1382,IAD,3714,,0,388 77W AF,137,CDG,1382,IAH,3550,,0,77W AF,137,CDG,1382,ICN,3930,,0,77W 772 AF,137,CDG,1382,IST,1701,,0,319 320 321 AF,137,CDG,1382,JED,2072,Y,0,333 AF,137,CDG,1382,JFK,3797,,0,332 772 388 343 AF,137,CDG,1382,JIB,4119,,0,343 AF,137,CDG,1382,JNB,813,,0,388 AF,137,CDG,1382,KBP,2939,,0,319 AF,137,CDG,1382,KIX,3992,,0,77W 772 AF,137,CDG,1382,KUL,3304,,0,772 AF,137,CDG,1382,LAD,951,,0,77W AF,137,CDG,1382,LAX,3484,,0,388 772 AF,137,CDG,1382,LBV,970,,0,772 77W AF,137,CDG,1382,LCA,1197,,0,320 AF,137,CDG,1382,LED,2948,,0,320 319 321 AF,137,CDG,1382,LFW,298,,0,343 AF,137,CDG,1382,LHR,507,,0,321 319 320 AF,137,CDG,1382,LIM,2789,,0,77W AF,137,CDG,1382,LIN,1529,,0,318 320 319 32A 321 AF,137,CDG,1382,LIS,1638,,0,318 320 319 321 AF,137,CDG,1382,LJU,1569,,0,E70 AF,137,CDG,1382,LOS,273,,0,332 AF,137,CDG,1382,LUX,629,Y,0,ER4 DH4 AF,137,CDG,1382,LYS,1335,,0,320 319 318 AF,137,CDG,1382,MAD,1229,,0,320 321 318 32A 319 AF,137,CDG,1382,MAN,478,,0,321 320 AF,137,CDG,1382,MEX,1824,,0,744 AF,137,CDG,1382,MIA,3576,,0,77W AF,137,CDG,1382,MLA,1606,,0,319 320 AF,137,CDG,1382,MPL,1359,,0,318 319 320 32A AF,137,CDG,1382,MRS,1353,,0,32A 319 318 321 320 AF,137,CDG,1382,MRU,893,,0,77W AF,137,CDG,1382,MSP,3858,Y,0,332 AF,137,CDG,1382,MUC,346,,0,319 318 320 32A 321 AF,137,CDG,1382,NAP,1561,,0,321 AF,137,CDG,1382,NBO,4059,Y,0,763 AF,137,CDG,1382,NCE,1354,,0,318 320 321 319 AF,137,CDG,1382,NCL,521,,0,AR8 AF,137,CDG,1382,NDJ,999,,0,332 AF,137,CDG,1382,NIM,280,,0,332 343 AF,137,CDG,1382,NKC,1094,,0,332 AF,137,CDG,1382,NRT,2279,,0,388 788 77W AF,137,CDG,1382,NSI,4161,,0,772 AF,137,CDG,1382,NTE,1418,,0,321 318 319 320 AF,137,CDG,1382,NUE,347,,0,E70 AF,137,CDG,1382,ORD,3830,,0,332 AF,137,CDG,1382,OSL,644,,0,E90 AF,137,CDG,1382,OTP,1657,,0,321 320 319 AF,137,CDG,1382,OUA,246,,0,343 AF,137,CDG,1382,PEK,3364,,0,772 77W AF,137,CDG,1382,PHL,3752,Y,0,752 AF,137,CDG,1382,PIT,3570,Y,0,752 AF,137,CDG,1382,PNR,886,,0,332 AF,137,CDG,1382,PRG,1587,,0,321 320 32A AF,137,CDG,1382,PTY,1871,,0,772 AF,137,CDG,1382,PUF,1274,,0,E90 AF,137,CDG,1382,PUJ,1760,,0,744 AF,137,CDG,1382,PVG,3406,,0,77W 388 772 AF,137,CDG,1382,RBA,1072,,0,319 320 AF,137,CDG,1382,RIX,3953,Y,0,733 735 73C AF,137,CDG,1382,RNS,1415,,0,AT7 AF,137,CDG,1382,ROB,1063,,0,332 AF,137,CDG,1382,RUH,2082,,0,332 AF,137,CDG,1382,SCL,2650,,0,772 77W AF,137,CDG,1382,SEA,3577,Y,0,332 AF,137,CDG,1382,SFO,3469,,0,388 AF,137,CDG,1382,SGN,3205,,0,772 AF,137,CDG,1382,SIN,3316,,0,77W AF,137,CDG,1382,SLC,3536,Y,0,332 AF,137,CDG,1382,SOF,1194,,0,321 320 AF,137,CDG,1382,STR,350,,0,AR8 AF,137,CDG,1382,SVG,666,,0,E70 AF,137,CDG,1382,SVO,2985,,0,319 320 321 AF,137,CDG,1382,SXM,2899,,0,343 AF,137,CDG,1382,TBS,3973,Y,0,735 AF,137,CDG,1382,TLS,1273,,0,319 320 321 AF,137,CDG,1382,TLV,1590,,0,320 AF,137,CDG,1382,TNR,918,,0,772 AF,137,CDG,1382,TRN,1526,,0,E90 AR8 E70 AF,137,CDG,1382,TUN,287,,0,319 320 321 AF,137,CDG,1382,TXL,351,,0,319 321 320 318 AF,137,CDG,1382,VCE,1551,,0,318 320 319 32A AF,137,CDG,1382,VGO,1250,,0,E70 AF,137,CDG,1382,VIE,1613,,0,320 318 319 32A 321 AF,137,CDG,1382,VLC,1246,Y,0,738 AF,137,CDG,1382,VRN,1550,,0,E70 AF,137,CDG,1382,WAW,679,,0,318 319 320 321 AF,137,CDG,1382,WUH,3376,,0,332 AF,137,CDG,1382,YUL,146,,0,744 343 AF,137,CDG,1382,YYZ,193,,0,772 AF,137,CDG,1382,ZAG,1208,,0,AR8 AF,137,CDG,1382,ZRH,1678,,0,318 AF,137,CFE,1330,AMS,580,Y,0,ER4 AF,137,CFE,1330,CDG,1382,,0,E70 E90 AF,137,CFE,1330,ORY,1386,,0,AT7 CRK AF,137,CGK,3275,KUL,3304,Y,0,77W AF,137,CHA,3578,ATL,3682,Y,0,CRJ AF,137,CHO,4015,ATL,3682,Y,0,CRJ AF,137,CHS,3806,ATL,3682,Y,0,M88 73W 319 AF,137,CID,4043,ATL,3682,Y,0,CR9 CRJ AF,137,CKG,3393,CAN,3370,Y,0,319 AF,137,CKG,3393,LXA,4097,Y,0,319 AF,137,CKY,4162,CDG,1382,,0,332 AF,137,CKY,4162,NKC,1094,,0,332 AF,137,CLE,3486,ATL,3682,Y,0,717 M88 AF,137,CLT,3876,ATL,3682,Y,0,M90 M88 AF,137,CLY,1322,CDG,1382,,0,320 AF,137,CLY,1322,MRS,1353,Y,0,AT7 AF,137,CLY,1322,NCE,1354,Y,0,AT7 AF,137,CLY,1322,ORY,1386,,0,320 319 AF,137,CMH,3759,ATL,3682,Y,0,M88 738 319 AF,137,CMN,1074,CDG,1382,,0,320 319 321 AF,137,CMN,1074,TLS,1273,,0,319 320 AF,137,CNX,3931,BKK,3885,Y,0,320 AF,137,COO,245,CDG,1382,,0,343 AF,137,CPH,609,CDG,1382,,0,318 319 320 AF,137,CRW,4285,ATL,3682,Y,0,CRJ AF,137,CSG,4255,ATL,3682,Y,0,CRJ AF,137,CUN,1852,ATL,3682,Y,0,757 320 M88 AF,137,CVG,3488,ATL,3682,Y,0,M88 738 320 319 AF,137,CVG,3488,CDG,1382,Y,0,76W AF,137,CWB,2545,BSB,2531,Y,0,73G AF,137,CWL,488,EDI,535,Y,0,F50 AF,137,CWL,488,GLA,534,Y,0,F50 AF,137,CWL,488,JER,499,Y,0,F50 AF,137,CWL,488,ORY,1386,Y,0,F50 AF,137,CZM,1800,ATL,3682,Y,0,319 M88 AF,137,DAB,3950,ATL,3682,Y,0,M90 M88 AF,137,DAL,3502,ATL,3682,Y,0,CRJ AF,137,DAR,1177,AMS,580,Y,0,330 AF,137,DAY,3627,ATL,3682,Y,0,M88 AF,137,DCA,3520,ATL,3682,Y,0,738 M90 M88 AF,137,DEL,3093,CDG,1382,,0,332 AF,137,DEN,3751,ATL,3682,Y,0,757 M90 738 AF,137,DFW,3670,ATL,3682,Y,0,M88 319 AF,137,DHN,3739,ATL,3682,Y,0,CRJ AF,137,DKR,1084,CDG,1382,,0,77W AF,137,DLA,897,CDG,1382,,0,772 AF,137,DLA,897,SSG,891,,0,772 AF,137,DMM,2064,AMS,580,Y,0,330 AF,137,DMM,2064,KWI,2176,Y,0,332 330 AF,137,DOH,11051,AMS,580,Y,0,330 AF,137,DOH,11051,MCT,2194,Y,0,330 AF,137,DOL,1408,LCY,503,Y,0,F50 AF,137,DRS,338,LCY,503,Y,0,AR8 AF,137,DSM,3729,ATL,3682,Y,0,CR7 M88 CR9 AF,137,DTW,3645,ATL,3682,Y,0,M88 73H 320 738 739 AF,137,DTW,3645,CDG,1382,,0,343 AF,137,DTW,3645,FRA,340,Y,0,764 AF,137,DTW,3645,LHR,507,,0,76W 77L AF,137,DTW,3645,MSY,3861,Y,0,319 AF,137,DUB,599,ATL,3682,Y,0,76W AF,137,DUB,599,CDG,1382,,0,AR8 AF,137,DUB,599,JFK,3797,Y,0,752 AF,137,DUB,599,LCY,503,Y,0,AR8 AF,137,DUS,345,ATL,3682,Y,0,76W AF,137,DUS,345,CDG,1382,,0,318 320 AF,137,DUS,345,NTE,1418,Y,0,ER4 AF,137,DXB,2188,CDG,1382,,0,77W AF,137,DZA,915,HAH,912,Y,0,73W AF,137,EBB,1187,AMS,580,Y,0,330 AF,137,EBU,1350,BIA,1321,Y,0,AT7 AF,137,ECP,7669,ATL,3682,Y,0,717 M88 CR9 AF,137,EDI,535,CDG,1382,,0,AR8 AF,137,EDI,535,CWL,488,Y,0,F50 AF,137,EGC,1265,EXT,552,Y,0,DH4 AF,137,EGC,1265,SOU,495,Y,0,DH4 AF,137,ELP,3559,ATL,3682,Y,0,M88 AF,137,ENH,6358,WUH,3376,Y,0,738 AF,137,EVN,3964,CDG,1382,,0,320 AF,137,EVV,4018,ATL,3682,Y,0,CRJ AF,137,EWN,3730,ATL,3682,Y,0,CRJ AF,137,EWR,3494,ATL,3682,Y,0,717 319 AF,137,EWR,3494,CDG,1382,Y,0,76W AF,137,EXT,552,CDG,1382,Y,0,DH4 AF,137,EXT,552,EGC,1265,Y,0,DH4 AF,137,EXT,552,RNS,1415,Y,0,DH4 AF,137,EYW,3875,ATL,3682,Y,0,73W AF,137,EZE,3988,CDG,1382,,0,772 AF,137,EZE,3988,MVD,2816,,0,772 AF,137,FAY,5738,ATL,3682,Y,0,CRJ AF,137,FCO,1555,ATL,3682,Y,0,333 AF,137,FCO,1555,BOD,1264,Y,0,E70 E90 CR7 AF,137,FCO,1555,CDG,1382,,0,320 321 319 32A AF,137,FCO,1555,LCY,503,Y,0,E90 AF,137,FCO,1555,LYS,1335,,0,CRK AF,137,FCO,1555,MPL,1359,Y,0,E75 E90 AF,137,FCO,1555,MRS,1353,,0,319 AF,137,FCO,1555,NCE,1354,Y,0,319 32S E75 321 E90 AF,137,FCO,1555,SXB,1435,Y,0,ER4 CR7 AF,137,FCO,1555,TLS,1273,,0,319 320 AF,137,FDF,2878,CAY,2774,,0,32A 320 AF,137,FDF,2878,ORY,1386,,0,77W AF,137,FDF,2878,PTP,2881,,0,AT5 32A 320 AF,137,FDF,2878,SDQ,1762,,0,AT5 AF,137,FIH,1020,CDG,1382,,0,343 AF,137,FLL,3533,ATL,3682,Y,0,757 M90 AF,137,FLR,1563,CDG,1382,,0,318 AF,137,FLR,1563,LCY,503,Y,0,AR8 AF,137,FLR,1563,LYS,1335,Y,0,AT5 AF,137,FNA,1059,CDG,1382,,0,332 AF,137,FNT,4089,ATL,3682,Y,0,M88 AF,137,FRA,340,ATL,3682,Y,0,764 AF,137,FRA,340,CDG,1382,,0,318 AF,137,FRA,340,DTW,3645,Y,0,764 AF,137,FRA,340,JFK,3797,Y,0,76W AF,137,FSC,1323,MRS,1353,Y,0,AT7 AF,137,FSC,1323,NCE,1354,Y,0,AT7 AF,137,FSM,3437,ATL,3682,Y,0,CRJ AF,137,FWA,4041,ATL,3682,Y,0,CRJ AF,137,GDL,1804,ATL,3682,Y,0,320 AF,137,GIG,2560,CDG,1382,,0,77W 332 AF,137,GIG,2560,CWB,2545,Y,0,73G AF,137,GLA,534,CWL,488,Y,0,F50 AF,137,GNV,3472,ATL,3682,Y,0,CR9 CR7 AF,137,GOA,1528,CDG,1382,,0,E70 E90 AF,137,GOT,687,CDG,1382,,0,E90 E70 AF,137,GOT,687,LYS,1335,Y,0,ER4 AF,137,GPT,4038,ATL,3682,Y,0,M88 CR7 CRJ AF,137,GRB,3653,ATL,3682,Y,0,CR9 AF,137,GRK,3775,ATL,3682,Y,0,CR7 AF,137,GRR,3685,ATL,3682,Y,0,717 M88 319 320 AF,137,GRU,2564,CDG,1382,,0,77W 772 AF,137,GSO,4008,ATL,3682,Y,0,CR9 CR7 M88 AF,137,GSP,4034,ATL,3682,Y,0,M88 CR7 319 717 CRJ AF,137,GTR,4273,ATL,3682,Y,0,CRJ AF,137,GUA,1767,ATL,3682,Y,0,757 AF,137,GVA,1665,BIQ,1280,Y,0,CR7 AF,137,GVA,1665,CDG,1382,,0,321 319 320 318 AF,137,GYD,2922,CDG,1382,Y,0,320 AF,137,GYE,2673,AMS,580,Y,0,777 AF,137,HAH,912,NBO,4059,Y,0,73W AF,137,HAJ,352,CDG,1382,,0,E70 AR8 AF,137,HAM,342,CDG,1382,,0,321 318 320 32A AF,137,HAM,342,TLS,1273,,0,319 AF,137,HAN,3199,CDG,1382,Y,0,777 AF,137,HAN,3199,REP,3035,Y,0,321 AF,137,HAV,1909,CDG,1382,,0,77W AF,137,HEL,421,CDG,1382,Y,0,321 320 32B E90 319 AF,137,HKG,3077,CDG,1382,,0,77W AF,137,HKT,3179,BKK,3885,Y,0,320 AF,137,HND,2359,CDG,1382,,0,772 77W AF,137,HNL,3728,LAX,3484,Y,0,757 AF,137,HPN,3589,ATL,3682,Y,0,CR7 AF,137,HRE,1005,LUN,907,Y,0,763 332 330 AF,137,HRE,1005,NBO,4059,Y,0,E90 AF,137,HSV,4113,ATL,3682,Y,0,717 M88 CR7 CRJ AF,137,IAD,3714,ATL,3682,Y,0,320 M88 319 AF,137,IAD,3714,CDG,1382,,0,388 77W AF,137,IAH,3550,ATL,3682,Y,0,M88 717 319 AF,137,IAH,3550,CDG,1382,,0,77W AF,137,ICN,3930,CDG,1382,,0,77W 772 AF,137,ICT,3457,ATL,3682,Y,0,CR7 CR9 AF,137,ILM,3845,ATL,3682,Y,0,CRJ AF,137,IND,3585,ATL,3682,Y,0,M88 320 M90 AF,137,IST,1701,CDG,1382,,0,320 319 321 AF,137,IST,1701,MRS,1353,,0,320 AF,137,IVL,428,KTT,438,Y,0,319 AF,137,JAN,3580,ATL,3682,Y,0,717 CR9 AF,137,JAX,3712,ATL,3682,Y,0,757 AF,137,JED,2072,CDG,1382,Y,0,333 AF,137,JER,499,CWL,488,Y,0,F50 AF,137,JFK,3797,ATL,3682,Y,0,319 738 752 AF,137,JFK,3797,BCN,1218,Y,0,333 AF,137,JFK,3797,BRU,302,,0,76W AF,137,JFK,3797,CDG,1382,,0,332 772 388 343 AF,137,JFK,3797,DUB,599,Y,0,752 AF,137,JFK,3797,FRA,340,Y,0,76W AF,137,JFK,3797,LHR,507,Y,0,764 76W AF,137,JFK,3797,MAD,1229,Y,0,764 AF,137,JFK,3797,MSY,3861,Y,0,CR9 AF,137,JFK,3797,NCE,1354,Y,0,764 AF,137,JFK,3797,PAP,1897,Y,0,738 AF,137,JIB,4119,CDG,1382,,0,343 AF,137,JNB,813,CDG,1382,,0,388 AF,137,JRO,1180,DAR,1177,Y,0,332 330 AF,137,KBP,2939,CDG,1382,,0,319 AF,137,KBV,3174,BKK,3885,Y,0,319 320 AF,137,KGL,1165,BJM,1120,Y,0,E70 AF,137,KGL,1165,EBB,1187,Y,0,332 330 AF,137,KIX,3992,CDG,1382,,0,772 77W AF,137,KMG,3382,CAN,3370,Y,0,320 AF,137,KTT,438,HEL,421,Y,0,319 AF,137,KUL,3304,AMS,580,Y,0,777 AF,137,KUL,3304,CDG,1382,,0,772 AF,137,KUL,3304,CGK,3275,Y,0,777 AF,137,KWI,2176,AMS,580,Y,0,330 AF,137,KWI,2176,DMM,2064,Y,0,332 330 AF,137,LAD,951,CDG,1382,,0,77W AF,137,LAS,3877,ATL,3682,Y,0,739 738 757 AF,137,LAX,3484,ATL,3682,Y,0,763 757 76W AF,137,LAX,3484,CDG,1382,,0,388 772 AF,137,LAX,3484,MSP,3858,Y,0,757 AF,137,LAX,3484,OGG,3456,Y,0,757 AF,137,LAX,3484,PPT,4075,,0,772 AF,137,LBV,970,CDG,1382,,0,772 77W AF,137,LCA,1197,CDG,1382,,0,320 AF,137,LCY,503,AMS,580,Y,0,AR8 AF,137,LCY,503,ANR,299,Y,0,F50 AF,137,LCY,503,BES,1403,Y,0,F50 AF,137,LCY,503,BVE,1278,Y,0,AR8 AF,137,LCY,503,DOL,1408,Y,0,F50 AF,137,LCY,503,DRS,338,Y,0,AR8 AF,137,LCY,503,DUB,599,Y,0,AR8 AF,137,LCY,503,FCO,1555,Y,0,E90 AF,137,LCY,503,FLR,1563,Y,0,AR8 AF,137,LCY,503,LIN,1529,,0,E90 AF,137,LCY,503,NTE,1418,Y,0,AR8 F50 AF,137,LCY,503,ORY,1386,,0,F50 AF,137,LCY,503,RTM,591,,0,F50 AR8 AF,137,LED,2948,CDG,1382,,0,319 320 321 AF,137,LEX,4017,ATL,3682,Y,0,CRJ CR9 AF,137,LFT,3493,ATL,3682,Y,0,CRJ AF,137,LFW,298,CDG,1382,,0,343 AF,137,LGA,3697,ATL,3682,Y,0,M88 757 AF,137,LGG,309,AJA,1324,Y,0,320 AF,137,LGG,309,BIA,1321,,0,320 AF,137,LHR,507,ATL,3682,Y,0,764 77L 76W AF,137,LHR,507,BOS,3448,Y,0,764 AF,137,LHR,507,CDG,1382,,0,321 320 319 AF,137,LHR,507,DTW,3645,,0,76W 77L AF,137,LHR,507,JFK,3797,Y,0,76W 764 AF,137,LHR,507,MSP,3858,Y,0,764 AF,137,LHR,507,SEA,3577,,0,76W AF,137,LIG,1270,SOU,495,Y,0,DH4 AF,137,LIL,1399,MRS,1353,,0,319 AF,137,LIL,1399,NCE,1354,,0,319 320 AF,137,LIM,2789,CDG,1382,,0,77W AF,137,LIN,1529,CDG,1382,,0,319 318 320 32A 321 AF,137,LIN,1529,LCY,503,Y,0,E90 AF,137,LIN,1529,ORY,1386,Y,0,320 32S 319 AF,137,LIR,1881,ATL,3682,Y,0,738 757 AF,137,LIS,1638,CDG,1382,,0,319 318 320 321 AF,137,LIT,3660,ATL,3682,Y,0,M88 AF,137,LJG,4033,KMG,3382,Y,0,320 AF,137,LJU,1569,CDG,1382,,0,E70 AF,137,LLW,1016,LUN,907,Y,0,E90 AF,137,LLW,1016,NBO,4059,Y,0,738 E90 AF,137,LOS,273,CDG,1382,,0,332 AF,137,LPQ,3115,BKK,3885,Y,0,319 AF,137,LRH,6493,PIS,1268,Y,0,AT5 AF,137,LRH,6493,SOU,495,Y,0,DH4 AF,137,LUN,907,AMS,580,Y,0,330 AF,137,LUN,907,HRE,1005,Y,0,E90 AF,137,LUN,907,LLW,1016,Y,0,738 E90 763 AF,137,LUN,907,NBO,4059,Y,0,763 E90 AF,137,LUX,629,CDG,1382,Y,0,ER4 DH4 AF,137,LVI,906,HRE,1005,Y,0,E90 AF,137,LXA,4097,CKG,3393,Y,0,319 AF,137,LYS,1335,AJA,1324,Y,0,320 AF,137,LYS,1335,AMS,580,,0,F70 AF,137,LYS,1335,BHX,469,Y,0,E75 AF,137,LYS,1335,BIA,1321,Y,0,320 AF,137,LYS,1335,BLQ,1538,Y,0,ER4 AT5 AF,137,LYS,1335,BRU,302,Y,0,ER4 AF,137,LYS,1335,CDG,1382,,0,320 319 318 AF,137,LYS,1335,FCO,1555,Y,0,CRK AF,137,LYS,1335,FLR,1563,,0,AT5 AF,137,LYS,1335,GOT,687,Y,0,ER4 AF,137,LYS,1335,MLA,1606,,0,320 AF,137,LYS,1335,MXP,1524,Y,0,CRJ ER4 AF,137,LYS,1335,NCE,1354,,0,320 319 AF,137,LYS,1335,ORY,1386,,0,CRK AF,137,LYS,1335,PIS,1268,Y,0,AT5 AF,137,LYS,1335,PRG,1587,Y,0,E90 CRK AF,137,LYS,1335,TLS,1273,,0,319 320 CRK AF,137,LYS,1335,VCE,1551,Y,0,ER4 CRK AF,137,LYS,1335,VIE,1613,Y,0,DH4 F70 AF,137,MAD,1229,ATL,3682,Y,0,764 AF,137,MAD,1229,CDG,1382,,0,321 320 318 32A 319 AF,137,MAD,1229,JFK,3797,Y,0,764 AF,137,MAD,1229,ORY,1386,Y,0,738 E90 AF,137,MAN,478,ATL,3682,Y,0,76W AF,137,MAN,478,CDG,1382,,0,321 320 AF,137,MAN,478,NTE,1418,Y,0,E75 DH4 AF,137,MAO,2551,GRU,2564,Y,0,738 AF,137,MBJ,1780,ATL,3682,Y,0,M88 AF,137,MCI,3458,ATL,3682,Y,0,M88 M90 757 AF,137,MCO,3878,ATL,3682,Y,0,757 M88 AF,137,MCT,2194,DOH,11051,Y,0,332 AF,137,MDT,3542,ATL,3682,Y,0,CRJ AF,137,MDW,3747,ATL,3682,Y,0,320 319 717 AF,137,MEM,3473,ATL,3682,Y,0,320 M88 319 AF,137,MEX,1824,ATL,3682,,0,74Y AF,137,MEX,1824,CDG,1382,,0,744 AF,137,MGM,4115,ATL,3682,Y,0,CRJ AF,137,MIA,3576,ATL,3682,Y,0,M88 757 M90 73H AF,137,MIA,3576,CDG,1382,,0,77W AF,137,MIA,3576,PAP,1897,,0,320 AF,137,MKE,3717,ATL,3682,Y,0,M88 M90 AF,137,MLA,1606,CDG,1382,,0,319 320 AF,137,MLA,1606,LYS,1335,,0,320 AF,137,MLA,1606,ORY,1386,,0,320 319 AF,137,MLA,1606,TLS,1273,,0,320 319 AF,137,MLB,3671,ATL,3682,Y,0,M88 AF,137,MLH,\N,ORY,1386,,0,AT7 AF,137,MLI,4072,ATL,3682,Y,0,CR9 AF,137,MLU,3732,ATL,3682,Y,0,CRJ AF,137,MNL,2397,TPE,2276,Y,0,772 AF,137,MOB,3782,ATL,3682,Y,0,CR7 717 CR9 CRJ AF,137,MPL,1359,CDG,1382,,0,320 318 319 32A AF,137,MPL,1359,FCO,1555,Y,0,E75 E90 AF,137,MPL,1359,ORY,1386,,0,321 319 CRK AF,137,MRS,1353,AJA,1324,Y,0,320 AT7 AF,137,MRS,1353,ALG,210,,0,320 319 AF,137,MRS,1353,AMS,580,,0,319 AF,137,MRS,1353,ATH,3941,,0,319 AF,137,MRS,1353,BES,1403,,0,319 AF,137,MRS,1353,BIA,1321,Y,0,320 AF,137,MRS,1353,BIQ,1280,,0,320 319 AF,137,MRS,1353,BOD,1264,,0,319 320 AF,137,MRS,1353,CDG,1382,,0,319 32A 318 321 320 AF,137,MRS,1353,CLY,1322,Y,0,AT7 AF,137,MRS,1353,FCO,1555,,0,319 AF,137,MRS,1353,FSC,1323,Y,0,AT7 AF,137,MRS,1353,IST,1701,,0,320 AF,137,MRS,1353,LIL,1399,,0,319 AF,137,MRS,1353,MXP,1524,Y,0,AT7 AF,137,MRS,1353,NTE,1418,,0,319 AF,137,MRS,1353,ORY,1386,,0,320 321 319 AF,137,MRS,1353,PRG,1587,,0,320 319 AF,137,MRS,1353,RAK,1075,,0,320 AF,137,MRS,1353,RNS,1415,,0,319 AF,137,MRS,1353,SVO,2985,,0,320 AF,137,MRS,1353,TLV,1590,,0,320 AF,137,MRS,1353,TUN,287,,0,319 320 AF,137,MRS,1353,TXL,351,,0,320 319 AF,137,MRS,1353,VCE,1551,,0,320 319 AF,137,MRU,893,CDG,1382,,0,77W AF,137,MRU,893,RUN,916,Y,0,343 AT7 319 332 AF,137,MRU,893,ZSE,917,Y,0,AT7 AF,137,MSN,3459,ATL,3682,Y,0,CR7 320 CR9 AF,137,MSP,3858,ATL,3682,Y,0,320 757 M88 AF,137,MSP,3858,CDG,1382,Y,0,332 AF,137,MSP,3858,LAX,3484,Y,0,757 AF,137,MSP,3858,LHR,507,Y,0,764 AF,137,MSP,3858,MSY,3861,Y,0,E75 CR9 AF,137,MSP,3858,SEA,3577,Y,0,753 AF,137,MSP,3858,SFO,3469,Y,0,753 AF,137,MSY,3861,ATL,3682,Y,0,M90 757 M88 AF,137,MSY,3861,DTW,3645,Y,0,319 CR7 AF,137,MSY,3861,JFK,3797,Y,0,CR9 AF,137,MSY,3861,MSP,3858,Y,0,CR9 AF,137,MTY,1825,ATL,3682,Y,0,CR9 AF,137,MUC,346,ATL,3682,Y,0,764 AF,137,MUC,346,CDG,1382,,0,320 319 318 32A 321 AF,137,MVD,2816,EZE,3988,,0,772 AF,137,MXP,1524,LYS,1335,Y,0,ER4 CRJ AF,137,MXP,1524,MRS,1353,Y,0,AT7 AF,137,MXP,1524,NTE,1418,Y,0,ER4 AF,137,MYR,3515,ATL,3682,Y,0,717 CR9 319 AF,137,NAP,1561,CDG,1382,,0,321 AF,137,NAS,1953,ATL,3682,Y,0,M88 AF,137,NBO,4059,CDG,1382,Y,0,763 AF,137,NBO,4059,DZA,915,Y,0,73W AF,137,NBO,4059,HRE,1005,Y,0,763 AF,137,NBO,4059,KGL,1165,Y,0,E70 AF,137,NBO,4059,LLW,1016,Y,0,E90 AF,137,NBO,4059,LUN,907,Y,0,738 E90 AF,137,NBO,4059,LVI,906,Y,0,E90 AF,137,NBS,8826,SHE,4144,Y,0,320 AF,137,NCE,1354,AJA,1324,Y,0,AT7 AF,137,NCE,1354,AMS,580,Y,0,E90 73W 73H AF,137,NCE,1354,BIA,1321,Y,0,AT7 AF,137,NCE,1354,CDG,1382,,0,320 318 321 319 AF,137,NCE,1354,CLY,1322,Y,0,AT7 AF,137,NCE,1354,FCO,1555,Y,0,319 32S E75 321 E90 AF,137,NCE,1354,FSC,1323,Y,0,AT7 AF,137,NCE,1354,JFK,3797,Y,0,764 AF,137,NCE,1354,LIL,1399,,0,319 320 AF,137,NCE,1354,LYS,1335,,0,320 319 AF,137,NCE,1354,NTE,1418,,0,320 319 AF,137,NCE,1354,ORY,1386,,0,319 320 321 AF,137,NCE,1354,SOU,495,Y,0,E95 AF,137,NCE,1354,SXB,1435,,0,320 319 AF,137,NCE,1354,TLV,1590,,0,320 AF,137,NCE,1354,VCE,1551,,0,320 AF,137,NCL,521,CDG,1382,,0,AR8 AF,137,NDJ,999,CDG,1382,,0,332 AF,137,NIM,280,CDG,1382,,0,332 343 AF,137,NIM,280,OUA,246,,0,332 AF,137,NKC,1094,CDG,1382,,0,332 AF,137,NKC,1094,CKY,4162,,0,332 AF,137,NRT,2279,CDG,1382,,0,77W 788 388 AF,137,NRT,2279,SPN,2244,Y,0,752 AF,137,NSI,4161,CDG,1382,,0,772 AF,137,NTE,1418,AJA,1324,Y,0,320 AF,137,NTE,1418,AMS,580,,0,ER4 AF,137,NTE,1418,BIA,1321,Y,0,320 AF,137,NTE,1418,BOD,1264,Y,0,ER4 AF,137,NTE,1418,BRU,302,Y,0,ER4 AF,137,NTE,1418,CDG,1382,,0,321 318 319 320 AF,137,NTE,1418,DUS,345,Y,0,ER4 AF,137,NTE,1418,LCY,503,Y,0,AR8 F50 AF,137,NTE,1418,MAN,478,Y,0,E75 DH4 AF,137,NTE,1418,MRS,1353,,0,319 AF,137,NTE,1418,MXP,1524,Y,0,ER4 AF,137,NTE,1418,NCE,1354,,0,320 319 AF,137,NTE,1418,ORY,1386,,0,AT5 AF,137,NTE,1418,SOU,495,Y,0,DH4 AF,137,NUE,347,CDG,1382,,0,E70 AF,137,OAJ,4386,ATL,3682,Y,0,CRJ AF,137,OKC,3863,ATL,3682,Y,0,M88 CR9 AF,137,OMA,3454,ATL,3682,Y,0,CR7 M88 AF,137,ORD,3830,ATL,3682,Y,0,717 M88 AF,137,ORD,3830,CDG,1382,,0,332 AF,137,ORF,3611,ATL,3682,Y,0,M88 M90 319 AF,137,ORY,1386,AJA,1324,,0,321 320 319 AF,137,ORY,1386,BES,1403,,0,CRK 319 AF,137,ORY,1386,BIA,1321,,0,321 319 AF,137,ORY,1386,BIQ,1280,,0,319 321 CRK 320 AF,137,ORY,1386,BOD,1264,,0,321 319 320 AF,137,ORY,1386,CAY,2774,,0,343 AF,137,ORY,1386,CFE,1330,,0,CRK AT7 AF,137,ORY,1386,CLY,1322,,0,320 319 AF,137,ORY,1386,CWL,488,Y,0,F50 AF,137,ORY,1386,FDF,2878,,0,77W AF,137,ORY,1386,LCY,503,,0,F50 AF,137,ORY,1386,LIN,1529,Y,0,320 32S 319 AF,137,ORY,1386,LYS,1335,,0,CRK AF,137,ORY,1386,MAD,1229,Y,0,E90 738 AF,137,ORY,1386,MLA,1606,,0,320 319 AF,137,ORY,1386,MLH,\N,,0,AT7 AF,137,ORY,1386,MPL,1359,,0,319 CRK 321 AF,137,ORY,1386,MRS,1353,,0,321 320 319 AF,137,ORY,1386,NCE,1354,,0,320 319 321 AF,137,ORY,1386,NTE,1418,,0,AT5 AF,137,ORY,1386,PMI,3998,Y,0,E90 738 AF,137,ORY,1386,PTP,2881,,0,77W AF,137,ORY,1386,PUF,1274,,0,319 CRK AF,137,ORY,1386,RUN,916,,0,77W AF,137,ORY,1386,SOU,495,Y,0,DH4 AF,137,ORY,1386,SXB,1435,,0,CRK AT7 AF,137,ORY,1386,TLN,1438,,0,CRK 319 321 320 AF,137,ORY,1386,TLS,1273,,0,320 319 321 AF,137,OSL,644,CDG,1382,,0,E90 AF,137,OTP,1657,CDG,1382,,0,321 320 319 AF,137,OUA,246,CDG,1382,,0,343 AF,137,OUA,246,NIM,280,,0,332 AF,137,PAP,1897,JFK,3797,Y,0,738 AF,137,PAP,1897,MIA,3576,,0,32A 320 AF,137,PAP,1897,PTP,2881,,0,320 AF,137,PBI,3722,ATL,3682,Y,0,M90 757 AF,137,PDX,3720,ATL,3682,Y,0,739 738 73H AF,137,PEK,3364,CDG,1382,,0,77W 772 AF,137,PHC,275,ABV,260,,0,332 AF,137,PHF,3633,ATL,3682,Y,0,CRJ AF,137,PHL,3752,ATL,3682,Y,0,M90 320 738 73H AF,137,PHL,3752,CDG,1382,Y,0,752 AF,137,PHX,3462,ATL,3682,Y,0,757 739 AF,137,PIA,4046,ATL,3682,Y,0,CRJ AF,137,PIS,1268,LRH,6493,Y,0,AT5 AF,137,PIS,1268,LYS,1335,Y,0,AT5 AF,137,PIT,3570,ATL,3682,Y,0,M88 CR9 717 AF,137,PIT,3570,CDG,1382,Y,0,752 AF,137,PMI,3998,ORY,1386,Y,0,E90 738 AF,137,PNR,886,CDG,1382,,0,332 AF,137,PNS,3564,ATL,3682,Y,0,M90 AF,137,PPT,4075,LAX,3484,,0,772 AF,137,PRG,1587,CDG,1382,,0,321 320 32A AF,137,PRG,1587,LYS,1335,Y,0,E90 CRK AF,137,PRG,1587,MRS,1353,,0,320 319 AF,137,PTP,2881,FDF,2878,,0,32A AT5 320 AF,137,PTP,2881,ORY,1386,,0,77W AF,137,PTP,2881,PAP,1897,,0,32A 320 AF,137,PTP,2881,SDQ,1762,,0,AT5 AF,137,PTY,1871,ATL,3682,Y,0,738 AF,137,PTY,1871,CDG,1382,,0,772 AF,137,PUF,1274,CDG,1382,,0,E90 AF,137,PUF,1274,ORY,1386,,0,319 CRK AF,137,PUJ,1760,CDG,1382,,0,744 AF,137,PUJ,1760,SDQ,1762,,0,744 AF,137,PVD,3641,ATL,3682,Y,0,M88 AF,137,PVG,3406,CDG,1382,,0,772 77W 388 AF,137,PVR,1836,ATL,3682,Y,0,757 AF,137,RAK,1075,MRS,1353,,0,320 AF,137,RAK,1075,TLS,1273,,0,319 320 AF,137,RBA,1072,CDG,1382,,0,319 320 AF,137,RDU,3626,ATL,3682,Y,0,752 M88 M90 739 AF,137,REP,3035,HAN,3199,Y,0,321 AF,137,RIC,3608,ATL,3682,Y,0,M90 M88 73H AF,137,RIX,3953,CDG,1382,Y,0,733 735 73C AF,137,RNS,1415,CDG,1382,,0,AT7 AF,137,RNS,1415,EXT,552,Y,0,DH4 AF,137,RNS,1415,MRS,1353,,0,319 AF,137,RNS,1415,SOU,495,Y,0,DH4 AF,137,ROA,4016,ATL,3682,Y,0,CRJ AF,137,ROB,1063,FNA,1059,,0,332 AF,137,ROC,3622,ATL,3682,Y,0,M88 M90 AF,137,ROR,2256,NRT,2279,Y,0,752 AF,137,RSW,3793,ATL,3682,Y,0,M90 757 M88 AF,137,RTM,591,LCY,503,,0,F50 AR8 AF,137,RUH,2082,CDG,1382,,0,332 AF,137,RUN,916,MRU,893,Y,0,319 343 AT7 332 AF,137,RUN,916,ORY,1386,,0,77W AF,137,SAN,3731,ATL,3682,Y,0,73H 763 739 AF,137,SAT,3621,ATL,3682,Y,0,757 320 M90 AF,137,SAV,3613,ATL,3682,Y,0,M88 717 319 AF,137,SBN,4359,ATL,3682,Y,0,CRJ AF,137,SCL,2650,CDG,1382,,0,77W 772 AF,137,SDF,4014,ATL,3682,Y,0,M88 AF,137,SDQ,1762,CDG,1382,,0,744 AF,137,SDQ,1762,PTP,2881,,0,AT5 AF,137,SEA,3577,ATL,3682,Y,0,739 76W 757 AF,137,SEA,3577,CDG,1382,Y,0,332 AF,137,SEA,3577,HNL,3728,Y,0,753 AF,137,SEA,3577,LHR,507,,0,76W AF,137,SFO,3469,ATL,3682,Y,0,763 739 757 AF,137,SFO,3469,CDG,1382,,0,388 AF,137,SFO,3469,HNL,3728,Y,0,753 AF,137,SGF,4348,ATL,3682,Y,0,CRJ AF,137,SGN,3205,CDG,1382,,0,772 AF,137,SHE,4144,CAN,3370,Y,0,320 AF,137,SHE,4144,NBS,8826,Y,0,320 AF,137,SHV,3609,ATL,3682,Y,0,CRJ AF,137,SIN,3316,CDG,1382,,0,77W AF,137,SJD,1840,ATL,3682,Y,0,73W 738 AF,137,SJO,1885,ATL,3682,Y,0,738 757 AF,137,SJU,2890,ATL,3682,Y,0,73H 753 757 AF,137,SLC,3536,ATL,3682,Y,0,763 757 738 AF,137,SLC,3536,CDG,1382,Y,0,332 AF,137,SLU,2893,FDF,2878,,0,AT5 AF,137,SMF,3817,ATL,3682,Y,0,757 AF,137,SNA,3867,ATL,3682,Y,0,757 AF,137,SOF,1194,CDG,1382,,0,321 320 AF,137,SOU,495,BES,1403,Y,0,DH4 AF,137,SOU,495,EGC,1265,Y,0,DH4 AF,137,SOU,495,LIG,1270,Y,0,DH4 AF,137,SOU,495,LRH,6493,Y,0,DH4 AF,137,SOU,495,NCE,1354,Y,0,E95 AF,137,SOU,495,NTE,1418,Y,0,DH4 AF,137,SOU,495,ORY,1386,Y,0,DH4 AF,137,SOU,495,RNS,1415,Y,0,DH4 AF,137,SRQ,4067,ATL,3682,Y,0,M90 AF,137,SSG,891,DLA,897,,0,772 AF,137,STL,3678,ATL,3682,Y,0,M90 717 M88 AF,137,STM,4092,MAO,2551,Y,0,738 AF,137,STR,350,ATL,3682,Y,0,76W AF,137,STR,350,CDG,1382,,0,AR8 AF,137,STT,2883,ATL,3682,Y,0,757 AF,137,SVG,666,CDG,1382,,0,E70 AF,137,SVO,2985,CDG,1382,,0,319 320 321 AF,137,SVO,2985,MRS,1353,,0,320 AF,137,SVQ,1253,TLS,1273,,0,319 AF,137,SXB,1435,AMS,580,,0,ER4 CR7 E70 AF,137,SXB,1435,FCO,1555,Y,0,ER4 CR7 AF,137,SXB,1435,NCE,1354,,0,320 319 AF,137,SXB,1435,ORY,1386,,0,CRK AT7 AF,137,SXB,1435,TLS,1273,,0,319 320 AF,137,SXM,2899,CDG,1382,,0,343 AF,137,SYR,3745,ATL,3682,Y,0,M88 CR9 AF,137,TBS,3973,CDG,1382,Y,0,735 AF,137,TLH,3698,ATL,3682,Y,0,319 M88 CRJ 717 AF,137,TLN,1438,ORY,1386,,0,CRK 319 321 320 AF,137,TLS,1273,AJA,1324,Y,0,320 AF,137,TLS,1273,AMS,580,Y,0,E90 AF,137,TLS,1273,ATH,3941,,0,320 AF,137,TLS,1273,CDG,1382,,0,320 319 321 AF,137,TLS,1273,CMN,1074,,0,319 320 AF,137,TLS,1273,FCO,1555,,0,319 320 AF,137,TLS,1273,HAM,342,,0,319 AF,137,TLS,1273,LYS,1335,,0,319 320 CRK AF,137,TLS,1273,MLA,1606,,0,320 319 AF,137,TLS,1273,ORY,1386,,0,320 319 321 AF,137,TLS,1273,RAK,1075,,0,319 320 AF,137,TLS,1273,SVQ,1253,,0,319 AF,137,TLS,1273,SXB,1435,,0,319 320 AF,137,TLS,1273,VCE,1551,,0,319 320 AF,137,TLV,1590,CDG,1382,,0,320 AF,137,TLV,1590,MRS,1353,,0,320 AF,137,TLV,1590,NCE,1354,,0,320 AF,137,TNR,918,CDG,1382,,0,772 AF,137,TPA,3646,ATL,3682,Y,0,757 739 AF,137,TPE,2276,AMS,580,Y,0,777 AF,137,TPE,2276,MNL,2397,Y,0,777 AF,137,TRI,4116,ATL,3682,Y,0,CRJ AF,137,TRN,1526,CDG,1382,,0,E90 AR8 E70 AF,137,TUL,3855,ATL,3682,Y,0,CR7 CR9 AF,137,TUN,287,CDG,1382,,0,321 319 320 AF,137,TUN,287,MRS,1353,,0,319 320 AF,137,TUS,3636,ATL,3682,Y,0,M90 AF,137,TXL,351,CDG,1382,,0,321 319 320 318 AF,137,TXL,351,MRS,1353,,0,320 319 AF,137,TYS,3676,ATL,3682,Y,0,CRJ 717 CR7 CR9 AF,137,UIO,2688,GYE,2673,Y,0,772 777 AF,137,VCE,1551,CDG,1382,,0,318 320 319 32A AF,137,VCE,1551,LYS,1335,,0,ER4 CRK AF,137,VCE,1551,MRS,1353,,0,320 319 AF,137,VCE,1551,NCE,1354,,0,320 AF,137,VCE,1551,TLS,1273,,0,319 320 AF,137,VGO,1250,CDG,1382,,0,E70 AF,137,VIE,1613,CDG,1382,,0,320 318 319 32A 321 AF,137,VIE,1613,LYS,1335,Y,0,DH4 F70 AF,137,VLC,1246,CDG,1382,Y,0,738 AF,137,VLD,5776,ATL,3682,Y,0,CRJ AF,137,VPS,3873,ATL,3682,Y,0,717 319 M88 AF,137,VRN,1550,CDG,1382,,0,E70 AF,137,WAW,679,CDG,1382,,0,321 318 319 320 AF,137,WUH,3376,CAN,3370,Y,0,738 AF,137,WUH,3376,CDG,1382,,0,332 AF,137,WUH,3376,ENH,6358,Y,0,738 AF,137,XNA,4356,ATL,3682,Y,0,CRJ CR9 CR7 AF,137,YUL,146,ATL,3682,Y,0,CR9 AF,137,YUL,146,CDG,1382,,0,744 343 AF,137,YYZ,193,ATL,3682,Y,0,CR7 AF,137,YYZ,193,CDG,1382,,0,772 AF,137,ZAG,1208,CDG,1382,,0,AR8 AF,137,ZRH,1678,CDG,1382,,0,318 AF,137,ZSE,917,MRU,893,Y,0,AT7 AH,794,AAE,220,ALG,210,,0,738 ATR 736 AH,794,AAE,220,CDG,1382,,0,738 AH,794,AAE,220,IST,1701,,0,738 AH,794,AAE,220,LYS,1335,,0,738 AH,794,AAE,220,MRS,1353,,0,738 AH,794,AAE,220,ORN,231,,0,ATR AH,794,AAE,220,ORY,1386,,0,736 AH,794,ABJ,253,ALG,210,,0,738 AH,794,ALC,1212,ALG,210,,0,736 AH,794,ALC,1212,ORN,231,,0,736 ATR AH,794,ALG,210,AAE,220,,0,ATR 736 738 AH,794,ALG,210,ABJ,253,,0,738 AH,794,ALG,210,ALC,1212,,0,736 AH,794,ALG,210,AMM,2170,,0,736 AH,794,ALG,210,AZR,234,,0,ATR 738 AH,794,ALG,210,BCN,1218,,0,736 738 AH,794,ALG,210,BEY,2177,,0,736 AH,794,ALG,210,BJA,209,,0,738 ATR AH,794,ALG,210,BKO,1044,,0,738 AH,794,ALG,210,BLJ,5552,,0,ATR 738 AH,794,ALG,210,BOD,1264,,0,736 AH,794,ALG,210,BRU,302,,0,736 AH,794,ALG,210,BSK,235,,0,ATR 738 AH,794,ALG,210,CAI,1128,,0,736 AH,794,ALG,210,CDG,1382,,0,330 736 738 AH,794,ALG,210,CMN,1074,,0,767 AH,794,ALG,210,CZL,221,,0,ATR 736 738 767 AH,794,ALG,210,DJG,211,,0,738 AH,794,ALG,210,DKR,1084,,0,738 AH,794,ALG,210,DXB,2188,,0,330 AH,794,ALG,210,EBH,\N,,0,ATR AH,794,ALG,210,ELU,5555,,0,ATR AH,794,ALG,210,ETZ,1320,,0,736 AH,794,ALG,210,FCO,1555,,0,736 AH,794,ALG,210,FRA,340,,0,736 AH,794,ALG,210,GHA,237,,0,ATR AH,794,ALG,210,GVA,1665,,0,736 AH,794,ALG,210,HME,238,,0,736 AH,794,ALG,210,HRM,224,,0,ATR AH,794,ALG,210,INZ,239,,0,ATR AH,794,ALG,210,IST,1701,,0,736 AH,794,ALG,210,LHR,507,,0,736 AH,794,ALG,210,LIL,1399,,0,736 AH,794,ALG,210,LIS,1638,,0,736 AH,794,ALG,210,LYS,1335,,0,736 738 AH,794,ALG,210,MAD,1229,,0,736 AH,794,ALG,210,MRS,1353,,0,736 AH,794,ALG,210,MUW,233,,0,ATR AH,794,ALG,210,MXP,1524,,0,736 AH,794,ALG,210,MZW,\N,,0,ATR AH,794,ALG,210,NCE,1354,,0,736 738 AH,794,ALG,210,NIM,280,,0,738 AH,794,ALG,210,OGX,243,,0,ATR AH,794,ALG,210,ORN,231,,0,ATR 738 AH,794,ALG,210,ORY,1386,,0,736 330 AH,794,ALG,210,OUA,246,,0,736 AH,794,ALG,210,PEK,3364,,0,330 AH,794,ALG,210,PMI,3998,,0,738 AH,794,ALG,210,QSF,6492,,0,ATR 738 AH,794,ALG,210,SVO,2985,,0,736 AH,794,ALG,210,TEE,222,,0,ATR AH,794,ALG,210,TGR,240,,0,ATR AH,794,ALG,210,TID,225,,0,ATR AH,794,ALG,210,TIP,1157,,0,738 AH,794,ALG,210,TLM,230,,0,738 ATR AH,794,ALG,210,TLS,1273,,0,736 AH,794,ALG,210,TUN,287,,0,736 738 AH,794,ALG,210,VIE,1613,,0,736 AH,794,ALG,210,YUL,146,,0,330 AH,794,AMM,2170,ALG,210,,0,736 AH,794,AZR,234,ALG,210,,0,ATR AH,794,AZR,234,BMW,5554,,0,ATR AH,794,AZR,234,CZL,221,,0,ATR AH,794,AZR,234,INZ,239,,0,ATR AH,794,AZR,234,OGX,243,,0,ATR AH,794,AZR,234,ORN,231,,0,ATR AH,794,BCN,1218,ALG,210,,0,736 AH,794,BCN,1218,ORN,231,,0,736 AH,794,BEY,2177,ALG,210,,0,736 AH,794,BJA,209,ALG,210,,0,738 ATR AH,794,BJA,209,LYS,1335,,0,738 AH,794,BJA,209,MRS,1353,,0,738 AH,794,BJA,209,ORY,1386,,0,736 AH,794,BKO,1044,ALG,210,,0,738 AH,794,BLJ,5552,ALG,210,,0,ATR 738 AH,794,BLJ,5552,LYS,1335,,0,736 AH,794,BLJ,5552,MRS,1353,,0,738 AH,794,BLJ,5552,ORY,1386,,0,738 AH,794,BMW,5554,AZR,234,,0,ATR AH,794,BOD,1264,ALG,210,,0,736 AH,794,BRU,302,ALG,210,,0,736 AH,794,BSK,235,ALG,210,,0,ATR 738 AH,794,BSK,235,LYS,1335,,0,738 AH,794,BSK,235,ORY,1386,,0,738 AH,794,CAI,1128,ALG,210,,0,736 AH,794,CBH,5553,ORN,231,,0,ATR AH,794,CDG,1382,AAE,220,,0,738 AH,794,CDG,1382,ALG,210,,0,330 738 AH,794,CDG,1382,CZL,221,,0,738 AH,794,CDG,1382,ORN,231,,0,330 AH,794,CFK,\N,MRS,1353,,0,736 AH,794,CMN,1074,ALG,210,,0,736 AH,794,CMN,1074,ORN,231,,0,736 AH,794,CZL,221,ALG,210,,0,738 ATR 767 736 AH,794,CZL,221,AZR,234,,0,ATR AH,794,CZL,221,CDG,1382,,0,738 AH,794,CZL,221,GHA,237,,0,ATR AH,794,CZL,221,HME,238,,0,ATR AH,794,CZL,221,IST,1701,,0,738 AH,794,CZL,221,LYS,1335,,0,738 AH,794,CZL,221,MLH,\N,,0,736 AH,794,CZL,221,MRS,1353,,0,738 AH,794,CZL,221,NCE,1354,,0,738 736 AH,794,CZL,221,ORN,231,,0,ATR AH,794,CZL,221,ORY,1386,,0,736 AH,794,DJG,211,OGX,243,,0,736 AH,794,DJG,211,TMR,216,,0,738 AH,794,DKR,1084,ALG,210,,0,738 AH,794,DXB,2188,ALG,210,,0,330 AH,794,EBH,\N,ALG,210,,0,ATR AH,794,ELG,236,OGX,243,,0,ATR AH,794,ELG,236,TMR,216,,0,ATR AH,794,ELU,5555,ALG,210,,0,ATR AH,794,ETZ,1320,ALG,210,,0,736 AH,794,FCO,1555,ALG,210,,0,736 AH,794,FRA,340,ALG,210,,0,736 AH,794,GHA,237,ALG,210,,0,ATR AH,794,GHA,237,CZL,221,,0,ATR AH,794,GHA,237,ORN,231,,0,ATR AH,794,GHA,237,TMR,216,,0,ATR AH,794,GVA,1665,ALG,210,,0,736 AH,794,HME,238,ALG,210,,0,736 AH,794,HME,238,CZL,221,,0,ATR AH,794,HME,238,HRM,224,,0,ATR AH,794,HME,238,IAM,244,,0,736 AH,794,HME,238,ORN,231,,0,ATR AH,794,HRM,224,ALG,210,,0,ATR AH,794,HRM,224,HME,238,,0,ATR AH,794,IAM,244,HME,238,,0,736 AH,794,IAM,244,OGX,243,,0,ATR AH,794,INZ,239,ALG,210,,0,ATR AH,794,INZ,239,TMR,216,,0,ATR AH,794,IST,1701,AAE,220,,0,738 AH,794,IST,1701,ALG,210,,0,736 AH,794,IST,1701,CZL,221,,0,738 AH,794,IST,1701,ORN,231,,0,738 AH,794,LHR,507,ALG,210,,0,736 AH,794,LIL,1399,ALG,210,,0,738 AH,794,LIL,1399,ORN,231,,0,736 AH,794,LIS,1638,ALG,210,,0,736 AH,794,LYS,1335,AAE,220,,0,738 AH,794,LYS,1335,ALG,210,,0,736 738 AH,794,LYS,1335,BJA,209,,0,738 AH,794,LYS,1335,BLJ,5552,,0,738 AH,794,LYS,1335,BSK,235,,0,738 AH,794,LYS,1335,CZL,221,,0,738 AH,794,LYS,1335,ORN,231,,0,736 AH,794,LYS,1335,QSF,6492,,0,738 AH,794,LYS,1335,TLM,230,,0,736 AH,794,MAD,1229,ALG,210,,0,736 AH,794,MLH,\N,CZL,221,,0,736 AH,794,MRS,1353,AAE,220,,0,738 AH,794,MRS,1353,ALG,210,,0,736 AH,794,MRS,1353,BJA,209,,0,738 AH,794,MRS,1353,BLJ,5552,,0,738 AH,794,MRS,1353,CFK,\N,,0,736 AH,794,MRS,1353,CZL,221,,0,738 AH,794,MRS,1353,ORN,231,,0,736 738 AH,794,MRS,1353,QSF,6492,,0,738 AH,794,MRS,1353,TLM,230,,0,736 AH,794,MUW,233,ALG,210,,0,ATR AH,794,MUW,233,TID,225,,0,ATR AH,794,MXP,1524,ALG,210,,0,736 AH,794,MZW,\N,ALG,210,,0,ATR AH,794,NCE,1354,ALG,210,,0,736 738 AH,794,NCE,1354,CZL,221,,0,738 AH,794,NIM,280,ALG,210,,0,738 AH,794,OGX,243,ALG,210,,0,ATR 736 AH,794,OGX,243,AZR,234,,0,ATR AH,794,OGX,243,ELG,236,,0,ATR AH,794,OGX,243,IAM,244,,0,ATR AH,794,OGX,243,ORN,231,,0,ATR AH,794,ORN,231,AAE,220,,0,ATR AH,794,ORN,231,ALC,1212,,0,736 ATR AH,794,ORN,231,ALG,210,,0,736 ATR 738 767 AH,794,ORN,231,AZR,234,,0,ATR AH,794,ORN,231,BCN,1218,,0,736 AH,794,ORN,231,CBH,5553,,0,ATR AH,794,ORN,231,CDG,1382,,0,330 AH,794,ORN,231,CMN,1074,,0,767 736 AH,794,ORN,231,CZL,221,,0,ATR AH,794,ORN,231,GHA,237,,0,ATR AH,794,ORN,231,HME,238,,0,ATR AH,794,ORN,231,IST,1701,,0,738 AH,794,ORN,231,LIL,1399,,0,736 AH,794,ORN,231,LYS,1335,,0,736 AH,794,ORN,231,MRS,1353,,0,736 AH,794,ORN,231,OGX,243,,0,ATR AH,794,ORN,231,ORY,1386,,0,736 AH,794,ORN,231,TLS,1273,,0,736 AH,794,ORY,1386,AAE,220,,0,736 AH,794,ORY,1386,ALG,210,,0,736 330 738 AH,794,ORY,1386,BJA,209,,0,736 AH,794,ORY,1386,BLJ,5552,,0,738 AH,794,ORY,1386,BSK,235,,0,736 AH,794,ORY,1386,CZL,221,,0,736 AH,794,ORY,1386,ORN,231,,0,736 AH,794,ORY,1386,QSF,6492,,0,736 AH,794,ORY,1386,TLM,230,,0,738 AH,794,OUA,246,ALG,210,,0,736 AH,794,PEK,3364,ALG,210,,0,330 AH,794,PMI,3998,ALG,210,,0,738 AH,794,QSF,6492,ALG,210,,0,ATR 738 AH,794,QSF,6492,LYS,1335,,0,738 AH,794,QSF,6492,MRS,1353,,0,738 AH,794,QSF,6492,ORY,1386,,0,738 AH,794,SVO,2985,ALG,210,,0,736 AH,794,TEE,222,ALG,210,,0,ATR AH,794,TGR,240,ALG,210,,0,ATR AH,794,TID,225,ALG,210,,0,ATR AH,794,TIP,1157,ALG,210,,0,736 AH,794,TLM,230,ALG,210,,0,738 ATR AH,794,TLM,230,LYS,1335,,0,738 AH,794,TLM,230,MRS,1353,,0,738 AH,794,TLM,230,ORY,1386,,0,738 AH,794,TLS,1273,ALG,210,,0,736 AH,794,TLS,1273,ORN,231,,0,736 AH,794,TMR,216,ALG,210,,0,738 AH,794,TMR,216,ELG,236,,0,ATR AH,794,TMR,216,GHA,237,,0,ATR AH,794,TMR,216,INZ,239,,0,ATR AH,794,TUN,287,ALG,210,,0,736 AH,794,VIE,1613,ALG,210,,0,736 AH,794,YUL,146,ALG,210,,0,330 AI,218,ADD,1107,BOM,2997,Y,0,752 AI,218,ADD,1107,DEL,3093,Y,0,763 AI,218,AGR,3079,BOM,2997,,0,CR7 AI,218,AGR,3079,HJR,3012,,0,320 AI,218,AGX,3130,COK,3136,,0,ATR AI,218,AJL,3039,CCU,3043,,0,319 AI,218,AJL,3039,IMF,3050,,0,319 AI,218,AMD,2994,BOM,2997,,0,321 320 77W AI,218,AMD,2994,DEL,3093,,0,319 321 AI,218,AMD,2994,HYD,\N,,0,320 AI,218,AMD,2994,KWI,2176,,0,320 AI,218,ATQ,3081,DEL,3093,,0,321 788 320 AI,218,AUH,2179,BOM,2997,,0,319 AI,218,AUH,2179,DEL,3093,,0,319 AI,218,BAH,2057,AUH,2179,,0,319 AI,218,BBI,3042,BOM,2997,,0,319 AI,218,BBI,3042,DEL,3093,,0,319 320 AI,218,BBI,3042,IXZ,3146,,0,CR7 AI,218,BDQ,3001,DEL,3093,,0,320 AI,218,BHO,3002,BOM,2997,,0,319 AI,218,BHO,3002,DEL,3093,,0,321 AI,218,BHX,469,DEL,3093,,0,788 AI,218,BKK,3885,BOM,2997,,0,321 AI,218,BKK,3885,DEL,3093,,0,321 AI,218,BKK,3885,SIN,3316,Y,0,772 AI,218,BLR,3131,BOM,2997,,0,319 AI,218,BLR,3131,CCU,3043,,0,319 AI,218,BLR,3131,COK,3136,,0,ATR AI,218,BLR,3131,DEL,3093,,0,320 788 AI,218,BLR,3131,FRA,340,Y,0,74H AI,218,BLR,3131,GOI,3007,,0,319 AI,218,BLR,3131,HYD,\N,,0,319 AI,218,BLR,3131,IXE,3143,,0,ATR AI,218,BLR,3131,MAA,3144,,0,320 AI,218,BLR,3131,TRV,3153,,0,320 AI,218,BOM,2997,ADD,1107,Y,0,763 AI,218,BOM,2997,AGR,3079,,0,CR7 AI,218,BOM,2997,AMD,2994,,0,321 320 77W AI,218,BOM,2997,AUH,2179,,0,319 AI,218,BOM,2997,BBI,3042,,0,319 AI,218,BOM,2997,BHO,3002,,0,321 AI,218,BOM,2997,BKK,3885,,0,321 AI,218,BOM,2997,BLR,3131,,0,319 AI,218,BOM,2997,CAI,1128,Y,0,738 AI,218,BOM,2997,CCU,3043,,0,320 319 AI,218,BOM,2997,CJB,3135,,0,321 AI,218,BOM,2997,CMB,3024,Y,0,320 AI,218,BOM,2997,COK,3136,,0,319 AI,218,BOM,2997,DEL,3093,,0,321 319 77W 788 AI,218,BOM,2997,DXB,2188,,0,321 AI,218,BOM,2997,EWR,3494,,0,77W AI,218,BOM,2997,FRA,340,Y,0,744 AI,218,BOM,2997,GOI,3007,,0,321 AI,218,BOM,2997,GWL,3094,,0,CR7 AI,218,BOM,2997,HYD,\N,,0,319 744 AI,218,BOM,2997,IDR,3008,,0,320 AI,218,BOM,2997,IST,1701,Y,0,330 AI,218,BOM,2997,IXD,3080,,0,CR7 AI,218,BOM,2997,IXE,3143,,0,321 AI,218,BOM,2997,IXU,2996,,0,319 AI,218,BOM,2997,JAI,3098,,0,319 AI,218,BOM,2997,JDH,3097,,0,319 AI,218,BOM,2997,JED,2072,,0,77W AI,218,BOM,2997,JGA,3010,,0,319 AI,218,BOM,2997,JNB,813,Y,0,332 AI,218,BOM,2997,LHR,507,,0,788 AI,218,BOM,2997,LKO,3105,,0,320 AI,218,BOM,2997,MAA,3144,,0,319 332 AI,218,BOM,2997,MCT,2194,,0,320 AI,218,BOM,2997,MRU,893,Y,0,332 AI,218,BOM,2997,MUC,346,Y,0,333 AI,218,BOM,2997,NAG,3015,,0,319 AI,218,BOM,2997,RAJ,3019,,0,319 AI,218,BOM,2997,RPR,3020,,0,319 AI,218,BOM,2997,RUH,2082,,0,77W AI,218,BOM,2997,TRV,3153,,0,319 AI,218,BOM,2997,UDR,3023,,0,319 AI,218,BOM,2997,VNS,3084,,0,319 AI,218,BOM,2997,ZRH,1678,Y,0,333 AI,218,CAI,1128,BOM,2997,Y,0,738 AI,218,CCJ,3137,CJB,3135,,0,321 AI,218,CCJ,3137,COK,3136,,0,744 AI,218,CCJ,3137,DXB,2188,,0,321 AI,218,CCJ,3137,JED,2072,,0,744 AI,218,CCJ,3137,RUH,2082,,0,77W AI,218,CCJ,3137,SHJ,2191,,0,321 AI,218,CCU,3043,AJL,3039,,0,319 AI,218,CCU,3043,BLR,3131,,0,319 AI,218,CCU,3043,BOM,2997,,0,319 AI,218,CCU,3043,DAC,3076,,0,319 AI,218,CCU,3043,DEL,3093,,0,321 788 AI,218,CCU,3043,DIB,3057,,0,320 AI,218,CCU,3043,DMU,6174,,0,319 AI,218,CCU,3043,GAU,6173,,0,319 320 AI,218,CCU,3043,HYD,\N,,0,319 AI,218,CCU,3043,IMF,3050,,0,319 AI,218,CCU,3043,IXA,3038,,0,319 AI,218,CCU,3043,IXB,3040,,0,319 320 AI,218,CCU,3043,IXS,3055,,0,ATR 319 320 AI,218,CCU,3043,IXZ,3146,,0,319 AI,218,CCU,3043,KTM,3125,,0,319 AI,218,CCU,3043,MAA,3144,,0,320 AI,218,CCU,3043,RGN,3239,,0,320 AI,218,CCU,3043,SHL,6172,,0,ATR AI,218,CCU,3043,SIN,3316,Y,0,333 AI,218,CDG,1382,DEL,3093,,0,788 AI,218,CJB,3135,BOM,2997,,0,321 AI,218,CJB,3135,CCJ,3137,,0,321 AI,218,CMB,3024,BOM,2997,Y,0,320 AI,218,CMB,3024,DEL,3093,Y,0,320 AI,218,CMB,3024,MAA,3144,,0,321 AI,218,COK,3136,AGX,3130,,0,ATR AI,218,COK,3136,BLR,3131,,0,ATR AI,218,COK,3136,BOM,2997,,0,319 AI,218,COK,3136,CCJ,3137,,0,744 AI,218,COK,3136,DEL,3093,,0,321 320 AI,218,COK,3136,MAA,3144,,0,319 AI,218,COK,3136,SHJ,2191,,0,320 AI,218,COK,3136,TRV,3153,,0,321 AI,218,DAC,3076,CCU,3043,,0,319 AI,218,DAC,3076,DEL,3093,,0,320 AI,218,DED,3092,DEL,3093,,0,CR7 ATR AI,218,DED,3092,LKO,3105,,0,CR7 AI,218,DEL,3093,ADD,1107,Y,0,763 AI,218,DEL,3093,AMD,2994,,0,319 321 AI,218,DEL,3093,ATQ,3081,,0,788 321 320 AI,218,DEL,3093,BAH,2057,,0,319 AI,218,DEL,3093,BBI,3042,,0,CR7 319 320 AI,218,DEL,3093,BDQ,3001,,0,320 AI,218,DEL,3093,BHO,3002,,0,319 AI,218,DEL,3093,BHX,469,,0,788 AI,218,DEL,3093,BKK,3885,,0,321 AI,218,DEL,3093,BLR,3131,,0,788 320 AI,218,DEL,3093,BOM,2997,,0,788 321 77W 319 AI,218,DEL,3093,CCU,3043,,0,321 788 AI,218,DEL,3093,CDG,1382,,0,788 AI,218,DEL,3093,CMB,3024,Y,0,320 AI,218,DEL,3093,COK,3136,,0,320 321 AI,218,DEL,3093,DAC,3076,,0,320 AI,218,DEL,3093,DED,3092,,0,CR7 ATR AI,218,DEL,3093,DHM,6760,,0,ATR AI,218,DEL,3093,DMM,2064,,0,320 AI,218,DEL,3093,DXB,2188,,0,788 AI,218,DEL,3093,FRA,340,,0,788 AI,218,DEL,3093,GAU,6173,,0,320 AI,218,DEL,3093,HKG,3077,,0,788 AI,218,DEL,3093,HYD,\N,,0,320 321 319 77W AI,218,DEL,3093,ICN,3930,Y,0,333 AI,218,DEL,3093,IDR,3008,,0,320 AI,218,DEL,3093,IST,1701,Y,0,330 AI,218,DEL,3093,IXB,3040,,0,321 AI,218,DEL,3093,IXC,3089,,0,321 AI,218,DEL,3093,IXD,3080,,0,CR7 ATR AI,218,DEL,3093,IXJ,3100,,0,320 AI,218,DEL,3093,IXL,3104,,0,319 AI,218,DEL,3093,IXR,3063,,0,321 AI,218,DEL,3093,IXU,2996,,0,321 AI,218,DEL,3093,JAI,3098,,0,319 AI,218,DEL,3093,JDH,3097,,0,319 AI,218,DEL,3093,JED,2072,,0,77W AI,218,DEL,3093,JFK,3797,,0,77W AI,218,DEL,3093,JLR,3009,,0,CR7 AI,218,DEL,3093,KBL,2050,,0,320 AI,218,DEL,3093,KNU,3101,,0,ATR AI,218,DEL,3093,KTM,3125,,0,320 321 AI,218,DEL,3093,KUU,3085,,0,ATR AI,218,DEL,3093,LHR,507,,0,788 77W AI,218,DEL,3093,LKO,3105,,0,321 AI,218,DEL,3093,LUH,3103,,0,ATR AI,218,DEL,3093,MAA,3144,,0,332 321 320 319 AI,218,DEL,3093,MCT,2194,,0,320 AI,218,DEL,3093,MEL,3339,,0,788 AI,218,DEL,3093,MRU,893,Y,0,332 AI,218,DEL,3093,MUC,346,Y,0,333 AI,218,DEL,3093,NAG,3015,,0,319 AI,218,DEL,3093,NRT,2279,,0,788 AI,218,DEL,3093,ORD,3830,,0,77W AI,218,DEL,3093,PAT,3061,,0,319 AI,218,DEL,3093,PNQ,3017,,0,320 321 AI,218,DEL,3093,PVG,3406,,0,788 AI,218,DEL,3093,RUH,2082,,0,77W 77L AI,218,DEL,3093,SIN,3316,,0,788 AI,218,DEL,3093,STV,3022,,0,CR7 AI,218,DEL,3093,SXR,3112,,0,321 319 AI,218,DEL,3093,SYD,3361,,0,788 AI,218,DEL,3093,UDR,3023,,0,319 AI,218,DEL,3093,VIE,1613,Y,0,767 AI,218,DEL,3093,VNS,3084,,0,320 321 AI,218,DEL,3093,VTZ,3066,,0,321 AI,218,DEL,3093,ZRH,1678,Y,0,333 AI,218,DHM,6760,DEL,3093,,0,ATR AI,218,DIB,3057,CCU,3043,,0,319 AI,218,DIB,3057,DMU,6174,,0,320 AI,218,DMM,2064,DEL,3093,,0,320 AI,218,DMU,6174,CCU,3043,,0,320 AI,218,DMU,6174,DIB,3057,,0,319 AI,218,DXB,2188,BOM,2997,,0,321 AI,218,DXB,2188,CCJ,3137,,0,321 AI,218,DXB,2188,DEL,3093,,0,788 AI,218,DXB,2188,GOI,3007,,0,319 AI,218,EWR,3494,BOM,2997,,0,77W AI,218,FRA,340,BLR,3131,Y,0,74H AI,218,FRA,340,BOM,2997,Y,0,744 AI,218,FRA,340,DEL,3093,,0,788 AI,218,FRA,340,MAA,3144,Y,0,343 AI,218,FRA,340,PNQ,3017,Y,0,73H AI,218,GAU,6173,CCU,3043,,0,319 320 AI,218,GAU,6173,DEL,3093,,0,320 AI,218,GAU,6173,IMF,3050,,0,320 AI,218,GAU,6173,IXS,3055,,0,ATR AI,218,GOI,3007,BLR,3131,,0,319 AI,218,GOI,3007,BOM,2997,,0,321 AI,218,GOI,3007,DXB,2188,,0,319 AI,218,GOI,3007,KWI,2176,,0,320 AI,218,GOI,3007,MAA,3144,,0,320 AI,218,GOI,3007,PNQ,3017,,0,319 AI,218,GWL,3094,BOM,2997,,0,CR7 AI,218,HJR,3012,VNS,3084,,0,320 AI,218,HKG,3077,DEL,3093,,0,788 AI,218,HKG,3077,ICN,3930,,0,788 AI,218,HKG,3077,KIX,3992,,0,788 AI,218,HKG,3077,SFO,3469,Y,0,77W AI,218,HKG,3077,SIN,3316,Y,0,77W AI,218,HYD,\N,AMD,2994,,0,320 AI,218,HYD,\N,BLR,3131,,0,319 AI,218,HYD,\N,BOM,2997,,0,319 744 AI,218,HYD,\N,CCU,3043,,0,319 AI,218,HYD,\N,DEL,3093,,0,321 320 319 77W AI,218,HYD,\N,JED,2072,,0,744 AI,218,HYD,\N,MAA,3144,,0,320 AI,218,HYD,\N,MCT,2194,,0,319 AI,218,HYD,\N,PNQ,3017,,0,319 AI,218,HYD,\N,SHJ,2191,,0,321 AI,218,HYD,\N,TIR,3151,,0,321 AI,218,HYD,\N,VGA,3134,,0,319 AI,218,HYD,\N,VTZ,3066,,0,321 AI,218,ICN,3930,DEL,3093,Y,0,333 AI,218,ICN,3930,HKG,3077,,0,788 AI,218,ICN,3930,SFO,3469,Y,0,77W AI,218,ICN,3930,SIN,3316,Y,0,77W AI,218,IDR,3008,BOM,2997,,0,320 AI,218,IDR,3008,DEL,3093,,0,320 AI,218,IMF,3050,AJL,3039,,0,319 AI,218,IMF,3050,CCU,3043,,0,319 AI,218,IMF,3050,GAU,6173,,0,320 AI,218,IMF,3050,IXS,3055,,0,ATR AI,218,IST,1701,BOM,2997,Y,0,330 AI,218,IST,1701,DEL,3093,Y,0,330 AI,218,IXA,3038,CCU,3043,,0,319 AI,218,IXB,3040,CCU,3043,,0,319 320 AI,218,IXB,3040,DEL,3093,,0,321 AI,218,IXC,3089,DEL,3093,,0,321 AI,218,IXD,3080,BOM,2997,,0,CR7 AI,218,IXD,3080,DEL,3093,,0,CR7 ATR AI,218,IXE,3143,BLR,3131,,0,ATR AI,218,IXE,3143,BOM,2997,,0,321 AI,218,IXJ,3100,DEL,3093,,0,320 AI,218,IXJ,3100,IXL,3104,,0,319 AI,218,IXJ,3100,SXR,3112,,0,320 AI,218,IXL,3104,DEL,3093,,0,319 AI,218,IXL,3104,IXJ,3100,,0,319 AI,218,IXL,3104,SXR,3112,,0,319 AI,218,IXM,3142,MAA,3144,,0,319 AI,218,IXR,3063,DEL,3093,,0,321 AI,218,IXS,3055,CCU,3043,,0,ATR 319 320 AI,218,IXS,3055,GAU,6173,,0,ATR AI,218,IXS,3055,IMF,3050,,0,ATR AI,218,IXU,2996,BOM,2997,,0,321 AI,218,IXU,2996,DEL,3093,,0,319 AI,218,IXZ,3146,CCU,3043,,0,319 AI,218,IXZ,3146,DEL,3093,,0,CR7 AI,218,IXZ,3146,MAA,3144,,0,321 AI,218,JAI,3098,BOM,2997,,0,319 AI,218,JAI,3098,DEL,3093,,0,319 AI,218,JDH,3097,BOM,2997,,0,319 AI,218,JDH,3097,DEL,3093,,0,319 AI,218,JED,2072,BOM,2997,,0,77W AI,218,JED,2072,CCJ,3137,,0,744 AI,218,JED,2072,DEL,3093,,0,77W AI,218,JED,2072,HYD,\N,,0,744 AI,218,JFK,3797,DEL,3093,,0,77W AI,218,JFK,3797,LHR,507,Y,0,772 AI,218,JGA,3010,BOM,2997,,0,319 AI,218,JLR,3009,DEL,3093,,0,CR7 AI,218,JNB,813,BOM,2997,Y,0,332 AI,218,KBL,2050,DEL,3093,,0,320 AI,218,KIX,3992,HKG,3077,,0,788 AI,218,KNU,3101,DEL,3093,,0,ATR AI,218,KTM,3125,CCU,3043,,0,319 AI,218,KTM,3125,DEL,3093,,0,320 321 AI,218,KTM,3125,VNS,3084,,0,321 AI,218,KUL,3304,SIN,3316,Y,0,333 772 AI,218,KUU,3085,DEL,3093,,0,ATR AI,218,KWI,2176,AMD,2994,,0,320 AI,218,KWI,2176,GOI,3007,,0,320 AI,218,LAX,3484,NRT,2279,Y,0,388 AI,218,LHR,507,BOM,2997,,0,788 AI,218,LHR,507,DEL,3093,,0,788 77W AI,218,LHR,507,JFK,3797,Y,0,772 AI,218,LKO,3105,BOM,2997,,0,320 AI,218,LKO,3105,DED,3092,,0,CR7 AI,218,LKO,3105,DEL,3093,,0,321 AI,218,LUH,3103,DEL,3093,,0,ATR AI,218,MAA,3144,BLR,3131,,0,320 AI,218,MAA,3144,BOM,2997,,0,319 332 320 AI,218,MAA,3144,CCU,3043,,0,319 AI,218,MAA,3144,CMB,3024,,0,321 AI,218,MAA,3144,COK,3136,,0,319 AI,218,MAA,3144,DEL,3093,,0,321 320 332 319 AI,218,MAA,3144,FRA,340,Y,0,343 AI,218,MAA,3144,GOI,3007,,0,320 AI,218,MAA,3144,HYD,\N,,0,320 AI,218,MAA,3144,IXM,3142,,0,319 AI,218,MAA,3144,IXZ,3146,,0,321 AI,218,MAA,3144,MCT,2194,,0,319 AI,218,MAA,3144,MRU,893,Y,0,332 AI,218,MAA,3144,SHJ,2191,,0,321 AI,218,MAA,3144,SIN,3316,,0,332 AI,218,MAA,3144,TRV,3153,,0,320 AI,218,MCT,2194,BOM,2997,,0,320 AI,218,MCT,2194,DEL,3093,,0,320 AI,218,MCT,2194,HYD,\N,,0,319 AI,218,MCT,2194,MAA,3144,,0,319 AI,218,MEL,3339,DEL,3093,,0,788 AI,218,MEL,3339,SYD,3361,,0,788 AI,218,MLE,3156,TRV,3153,,0,320 AI,218,MRU,893,BLR,3131,Y,0,332 AI,218,MRU,893,BOM,2997,Y,0,332 AI,218,MRU,893,DEL,3093,Y,0,332 AI,218,MUC,346,BOM,2997,Y,0,333 AI,218,MUC,346,DEL,3093,Y,0,346 AI,218,NAG,3015,BOM,2997,,0,319 AI,218,NAG,3015,RPR,3020,,0,319 AI,218,NRT,2279,DEL,3093,,0,788 AI,218,NRT,2279,LAX,3484,Y,0,388 AI,218,NRT,2279,SIN,3316,Y,0,388 AI,218,ORD,3830,DEL,3093,,0,77W AI,218,PAT,3061,DEL,3093,,0,319 AI,218,PNQ,3017,DEL,3093,,0,320 321 AI,218,PNQ,3017,GOI,3007,,0,319 AI,218,PNQ,3017,HYD,\N,,0,319 AI,218,PVG,3406,DEL,3093,,0,788 AI,218,RAJ,3019,BOM,2997,,0,319 AI,218,RGN,3239,CCU,3043,,0,320 AI,218,RPR,3020,DEL,3093,,0,319 AI,218,RPR,3020,VTZ,3066,,0,319 AI,218,RUH,2082,BOM,2997,,0,77W AI,218,RUH,2082,CCJ,3137,,0,77W AI,218,RUH,2082,DEL,3093,,0,77W 77L AI,218,RUH,2082,TRV,3153,,0,77W AI,218,SFO,3469,HKG,3077,Y,0,77W AI,218,SFO,3469,ICN,3930,Y,0,77W AI,218,SHJ,2191,CCJ,3137,,0,321 AI,218,SHJ,2191,COK,3136,,0,320 AI,218,SHJ,2191,HYD,\N,,0,321 AI,218,SHJ,2191,MAA,3144,,0,321 AI,218,SHJ,2191,TRV,3153,,0,320 AI,218,SHL,6172,CCU,3043,,0,ATR AI,218,SIN,3316,BKK,3885,Y,0,772 AI,218,SIN,3316,CCU,3043,Y,0,333 AI,218,SIN,3316,DEL,3093,,0,788 AI,218,SIN,3316,HKG,3077,Y,0,77W AI,218,SIN,3316,ICN,3930,Y,0,77W AI,218,SIN,3316,KUL,3304,Y,0,333 772 AI,218,SIN,3316,MAA,3144,,0,332 AI,218,SIN,3316,NRT,2279,Y,0,388 AI,218,STV,3022,DEL,3093,,0,CR7 AI,218,SXR,3112,DEL,3093,,0,321 319 AI,218,SXR,3112,IXJ,3100,,0,320 AI,218,SXR,3112,IXL,3104,,0,319 AI,218,SYD,3361,DEL,3093,,0,788 AI,218,SYD,3361,MEL,3339,,0,788 AI,218,TIR,3151,HYD,\N,,0,321 AI,218,TRV,3153,BLR,3131,,0,320 AI,218,TRV,3153,BOM,2997,,0,319 AI,218,TRV,3153,COK,3136,,0,321 AI,218,TRV,3153,MAA,3144,,0,320 AI,218,TRV,3153,MLE,3156,,0,320 AI,218,TRV,3153,RUH,2082,,0,77W AI,218,TRV,3153,SHJ,2191,,0,320 AI,218,UDR,3023,BOM,2997,,0,319 AI,218,UDR,3023,DEL,3093,,0,319 AI,218,VGA,3134,HYD,\N,,0,319 AI,218,VIE,1613,DEL,3093,Y,0,767 AI,218,VNS,3084,AGR,3079,,0,320 AI,218,VNS,3084,BOM,2997,,0,319 AI,218,VNS,3084,DEL,3093,,0,320 321 AI,218,VNS,3084,KTM,3125,,0,321 AI,218,VTZ,3066,BOM,2997,,0,319 AI,218,VTZ,3066,DEL,3093,,0,321 AI,218,VTZ,3066,HYD,\N,,0,321 AI,218,ZRH,1678,BOM,2997,Y,0,333 AI,218,ZRH,1678,DEL,3093,Y,0,333 AK,576,AOR,3296,KUL,3304,,0,320 AK,576,BDO,3896,KUL,3304,,0,320 AK,576,BKI,3269,CAN,3370,,0,320 AK,576,BKI,3269,CGK,3275,,0,320 AK,576,BKI,3269,HGH,3386,,0,320 AK,576,BKI,3269,HKG,3077,,0,320 AK,576,BKI,3269,JHB,3303,,0,320 AK,576,BKI,3269,KBR,3298,,0,320 AK,576,BKI,3269,KCH,3263,,0,320 AK,576,BKI,3269,KUL,3304,,0,320 AK,576,BKI,3269,MYY,3266,,0,320 AK,576,BKI,3269,PEN,3308,,0,320 AK,576,BKI,3269,SDK,4141,,0,320 AK,576,BKI,3269,SIN,3316,,0,320 AK,576,BKI,3269,SZX,3374,,0,320 AK,576,BKI,3269,TPE,2276,,0,320 AK,576,BKI,3269,TWU,3271,,0,320 AK,576,BLR,3131,KUL,3304,,0,320 AK,576,BPN,3919,KUL,3304,,0,320 AK,576,BTJ,3294,KUL,3304,,0,320 AK,576,BTU,3262,KCH,3263,,0,320 AK,576,BTU,3262,KUL,3304,,0,320 AK,576,BWN,3272,KUL,3304,,0,320 AK,576,CAN,3370,BKI,3269,,0,320 AK,576,CAN,3370,KUL,3304,,0,320 AK,576,CCU,3043,KUL,3304,,0,320 AK,576,CGK,3275,BKI,3269,,0,320 AK,576,CGK,3275,KUL,3304,,0,320 AK,576,CNX,3931,KUL,3304,,0,320 AK,576,COK,3136,KUL,3304,,0,320 AK,576,DMK,3157,KUL,3304,,0,320 AK,576,DPS,3940,KUL,3304,,0,320 AK,576,HAN,3199,KUL,3304,,0,320 AK,576,HDY,3181,KUL,3304,,0,320 AK,576,HGH,3386,BKI,3269,,0,320 AK,576,HKG,3077,BKI,3269,,0,320 AK,576,HKG,3077,KUL,3304,,0,320 AK,576,HKT,3179,KUL,3304,,0,320 AK,576,JHB,3303,BKI,3269,,0,320 AK,576,JHB,3303,KBR,3298,,0,320 AK,576,JHB,3303,KCH,3263,,0,320 AK,576,JHB,3303,KUL,3304,,0,320 AK,576,JHB,3303,MYY,3266,,0,320 AK,576,JHB,3303,PEN,3308,,0,320 AK,576,JHB,3303,SBW,3267,,0,320 AK,576,JHB,3303,TWU,3271,,0,320 AK,576,JOG,3898,KUL,3304,,0,320 AK,576,KBR,3298,BKI,3269,,0,320 AK,576,KBR,3298,JHB,3303,,0,320 AK,576,KBR,3298,KCH,3263,,0,320 AK,576,KBR,3298,KUL,3304,,0,320 AK,576,KBR,3298,SIN,3316,,0,320 AK,576,KBV,3174,KUL,3304,,0,320 AK,576,KCH,3263,BKI,3269,,0,320 AK,576,KCH,3263,BTU,3262,,0,320 AK,576,KCH,3263,JHB,3303,,0,320 AK,576,KCH,3263,KBR,3298,,0,320 AK,576,KCH,3263,KUL,3304,,0,320 AK,576,KCH,3263,LGK,3305,,0,320 AK,576,KCH,3263,MYY,3266,,0,320 AK,576,KCH,3263,PEN,3308,,0,320 AK,576,KCH,3263,SBW,3267,,0,320 AK,576,KCH,3263,SIN,3316,,0,320 AK,576,KLO,2430,KUL,3304,,0,320 AK,576,KMG,3382,KUL,3304,,0,320 AK,576,KUL,3304,AOR,3296,,0,320 AK,576,KUL,3304,BDO,3896,,0,320 AK,576,KUL,3304,BKI,3269,,0,320 AK,576,KUL,3304,BLR,3131,,0,320 AK,576,KUL,3304,BPN,3919,,0,320 AK,576,KUL,3304,BTJ,3294,,0,320 AK,576,KUL,3304,BTU,3262,,0,320 AK,576,KUL,3304,BWN,3272,,0,320 AK,576,KUL,3304,CAN,3370,,0,320 AK,576,KUL,3304,CCU,3043,,0,320 AK,576,KUL,3304,CGK,3275,,0,320 AK,576,KUL,3304,CNX,3931,,0,320 AK,576,KUL,3304,COK,3136,,0,320 AK,576,KUL,3304,DMK,3157,,0,320 AK,576,KUL,3304,DPS,3940,,0,320 AK,576,KUL,3304,HAN,3199,,0,320 AK,576,KUL,3304,HDY,3181,,0,320 AK,576,KUL,3304,HKG,3077,,0,320 AK,576,KUL,3304,HKT,3179,,0,320 AK,576,KUL,3304,JHB,3303,,0,320 AK,576,KUL,3304,JOG,3898,,0,320 AK,576,KUL,3304,KBR,3298,,0,320 AK,576,KUL,3304,KBV,3174,,0,320 AK,576,KUL,3304,KCH,3263,,0,320 AK,576,KUL,3304,KLO,2430,,0,320 AK,576,KUL,3304,KMG,3382,,0,320 AK,576,KUL,3304,KWL,3372,,0,320 AK,576,KUL,3304,LBU,3270,,0,320 AK,576,KUL,3304,LGK,3305,,0,320 AK,576,KUL,3304,LOP,8401,,0,320 AK,576,KUL,3304,MAA,3144,,0,320 AK,576,KUL,3304,MFM,3121,,0,320 AK,576,KUL,3304,MYY,3266,,0,320 AK,576,KUL,3304,NNG,3373,,0,320 AK,576,KUL,3304,PDG,8807,,0,320 AK,576,KUL,3304,PEN,3308,,0,320 AK,576,KUL,3304,PKU,3273,,0,320 AK,576,KUL,3304,PLM,3289,,0,320 AK,576,KUL,3304,PNH,3034,,0,320 AK,576,KUL,3304,REP,3035,,0,320 AK,576,KUL,3304,RGN,3239,,0,320 AK,576,KUL,3304,SBW,3267,,0,320 AK,576,KUL,3304,SDK,4141,,0,320 AK,576,KUL,3304,SGN,3205,,0,320 AK,576,KUL,3304,SIN,3316,,0,320 AK,576,KUL,3304,SOC,3929,,0,320 AK,576,KUL,3304,SRG,3901,,0,320 AK,576,KUL,3304,SUB,3928,,0,320 AK,576,KUL,3304,SZX,3374,,0,320 AK,576,KUL,3304,TGG,3307,,0,320 AK,576,KUL,3304,TRZ,3152,,0,320 AK,576,KUL,3304,TWU,3271,,0,320 AK,576,KUL,3304,UPG,3240,,0,320 AK,576,KUL,3304,URT,4000,,0,320 AK,576,KUL,3304,VTE,3120,,0,320 AK,576,KWL,3372,KUL,3304,,0,320 AK,576,LBU,3270,KUL,3304,,0,320 AK,576,LGK,3305,KCH,3263,,0,320 AK,576,LGK,3305,KUL,3304,,0,320 AK,576,LGK,3305,PEN,3308,,0,320 AK,576,LGK,3305,SIN,3316,,0,320 AK,576,LOP,8401,KUL,3304,,0,320 AK,576,MAA,3144,KUL,3304,,0,320 AK,576,MFM,3121,KUL,3304,,0,320 AK,576,MYY,3266,BKI,3269,,0,320 AK,576,MYY,3266,JHB,3303,,0,320 AK,576,MYY,3266,KCH,3263,,0,320 AK,576,MYY,3266,KUL,3304,,0,320 AK,576,MYY,3266,PEN,3308,,0,320 AK,576,MYY,3266,SIN,3316,,0,320 AK,576,MYY,3266,TGG,3307,,0,320 AK,576,NNG,3373,KUL,3304,,0,320 AK,576,PDG,8807,KUL,3304,,0,320 AK,576,PEN,3308,BKI,3269,,0,320 AK,576,PEN,3308,JHB,3303,,0,320 AK,576,PEN,3308,KCH,3263,,0,320 AK,576,PEN,3308,KUL,3304,,0,320 AK,576,PEN,3308,LGK,3305,,0,320 AK,576,PEN,3308,MYY,3266,,0,320 AK,576,PEN,3308,SIN,3316,,0,320 AK,576,PKU,3273,KUL,3304,,0,320 AK,576,PLM,3289,KUL,3304,,0,320 AK,576,PNH,3034,KUL,3304,,0,320 AK,576,REP,3035,KUL,3304,,0,320 AK,576,RGN,3239,KUL,3304,,0,320 AK,576,SBW,3267,JHB,3303,,0,320 AK,576,SBW,3267,KCH,3263,,0,320 AK,576,SBW,3267,KUL,3304,,0,320 AK,576,SDK,4141,BKI,3269,,0,320 AK,576,SDK,4141,KUL,3304,,0,320 AK,576,SGN,3205,KUL,3304,,0,320 AK,576,SIN,3316,BKI,3269,,0,320 AK,576,SIN,3316,KBR,3298,,0,320 AK,576,SIN,3316,KCH,3263,,0,320 AK,576,SIN,3316,KUL,3304,,0,320 AK,576,SIN,3316,LGK,3305,,0,320 AK,576,SIN,3316,MYY,3266,,0,320 AK,576,SIN,3316,PEN,3308,,0,320 AK,576,SIN,3316,TGG,3307,,0,320 AK,576,SOC,3929,KUL,3304,,0,320 AK,576,SRG,3901,KUL,3304,,0,320 AK,576,SUB,3928,KUL,3304,,0,320 AK,576,SZX,3374,BKI,3269,,0,320 AK,576,SZX,3374,KUL,3304,,0,320 AK,576,TGG,3307,KUL,3304,,0,320 AK,576,TGG,3307,MYY,3266,,0,320 AK,576,TGG,3307,SIN,3316,,0,320 AK,576,TPE,2276,BKI,3269,,0,320 AK,576,TRZ,3152,KUL,3304,,0,320 AK,576,TWU,3271,BKI,3269,,0,320 AK,576,TWU,3271,JHB,3303,,0,320 AK,576,TWU,3271,KUL,3304,,0,320 AK,576,UPG,3240,KUL,3304,,0,320 AK,576,URT,4000,KUL,3304,,0,320 AK,576,VTE,3120,KUL,3304,,0,320 AM,321,ABY,5715,ATL,3682,Y,0,CRJ AM,321,ACA,1783,MEX,1824,,0,737 ERJ E70 EMJ E75 AM,321,ACA,1783,TLC,1850,Y,0,ERJ AM,321,AGU,1785,MEX,1824,Y,0,E75 EMJ ERJ E70 AM,321,AGU,1785,MTY,1825,Y,0,ERJ AM,321,ALB,3864,ATL,3682,Y,0,M88 AM,321,AQP,2802,JUL,2792,Y,0,319 AM,321,ATL,3682,ABY,5715,Y,0,CRJ AM,321,ATL,3682,ALB,3864,Y,0,CR9 M88 AM,321,ATL,3682,BDL,3825,Y,0,M88 73W AM,321,ATL,3682,BNA,3690,Y,0,M88 320 AM,321,ATL,3682,BOS,3448,Y,0,M90 757 738 M88 320 319 AM,321,ATL,3682,BWI,3849,Y,0,M90 757 320 M88 AM,321,ATL,3682,CDG,1382,Y,0,76W AM,321,ATL,3682,CLE,3486,Y,0,717 AM,321,ATL,3682,CMH,3759,Y,0,M88 AM,321,ATL,3682,CUN,1852,Y,0,M88 757 320 AM,321,ATL,3682,CVG,3488,Y,0,738 M88 319 AM,321,ATL,3682,CZM,1800,Y,0,M88 319 AM,321,ATL,3682,DCA,3520,Y,0,M90 M88 AM,321,ATL,3682,DEN,3751,Y,0,M90 738 757 AM,321,ATL,3682,DTW,3645,Y,0,M88 M90 757 AM,321,ATL,3682,EWR,3494,Y,0,717 AM,321,ATL,3682,FCO,1555,Y,0,333 AM,321,ATL,3682,GDL,1804,Y,0,320 AM,321,ATL,3682,IAD,3714,Y,0,M88 AM,321,ATL,3682,IND,3585,Y,0,M88 M90 AM,321,ATL,3682,JAX,3712,Y,0,757 AM,321,ATL,3682,JFK,3797,Y,0,738 319 73H AM,321,ATL,3682,LGA,3697,Y,0,757 M88 739 73H 320 73W AM,321,ATL,3682,MAD,1229,Y,0,764 AM,321,ATL,3682,MCI,3458,Y,0,M88 M90 757 AM,321,ATL,3682,MCO,3878,Y,0,757 AM,321,ATL,3682,MEM,3473,Y,0,320 M88 AM,321,ATL,3682,MEX,1824,Y,0,73W 738 73H EMJ AM,321,ATL,3682,MIA,3576,Y,0,M90 AM,321,ATL,3682,MSP,3858,Y,0,320 757 M90 739 AM,321,ATL,3682,MSY,3861,Y,0,757 AM,321,ATL,3682,MTY,1825,Y,0,CR9 AM,321,ATL,3682,PHL,3752,Y,0,757 M88 M90 73H AM,321,ATL,3682,PIT,3570,Y,0,M88 CR9 AM,321,ATL,3682,PVR,1836,Y,0,757 AM,321,ATL,3682,RDU,3626,Y,0,M88 738 M90 739 320 AM,321,ATL,3682,RIC,3608,Y,0,73H M90 M88 AM,321,ATL,3682,SEA,3577,Y,0,739 763 757 738 AM,321,ATL,3682,SJD,1840,Y,0,73W 738 AM,321,ATL,3682,SLC,3536,Y,0,757 AM,321,ATL,3682,STL,3678,Y,0,M90 717 319 M88 AM,321,ATL,3682,XNA,4356,Y,0,CR7 CR9 AM,321,ATL,3682,YUL,146,Y,0,CR9 CR7 AM,321,BDL,3825,ATL,3682,Y,0,73W M88 AM,321,BJX,1815,MEX,1824,,0,EMJ E70 ERJ AM,321,BJX,1815,MTY,1825,Y,0,ERJ AM,321,BJX,1815,SFO,3469,,0,738 AM,321,BJX,1815,TIJ,1847,,0,EMJ AM,321,BOG,2709,MEX,1824,,0,737 AM,321,BOS,3448,ATL,3682,Y,0,757 M90 M88 320 AM,321,BOS,3448,CUN,1852,Y,0,757 AM,321,BRU,302,MAD,1229,,0,E90 AM,321,BWI,3849,ATL,3682,Y,0,M88 757 73W 320 AM,321,CCS,2851,MEX,1824,,0,737 AM,321,CDG,1382,ATL,3682,Y,0,76W AM,321,CDG,1382,LYS,1335,Y,0,319 AM,321,CDG,1382,MEX,1824,,0,787 AM,321,CDG,1382,TLS,1273,Y,0,320 AM,321,CEN,1794,GDL,1804,Y,0,ERJ AM,321,CEN,1794,HMO,1807,Y,0,ERJ AM,321,CEN,1794,MEX,1824,Y,0,E70 AM,321,CJS,1796,CUU,1797,Y,0,ERJ AM,321,CJS,1796,HMO,1807,Y,0,ERJ AM,321,CJS,1796,MEX,1824,,0,EMJ AM,321,CJS,1796,MTY,1825,Y,0,ERJ AM,321,CJS,1796,TIJ,1847,Y,0,ERJ AM,321,CLE,3486,ATL,3682,Y,0,717 AM,321,CLQ,1808,MEX,1824,,0,ATR AM,321,CME,1789,MEX,1824,,0,737 EMJ E70 ERJ AM,321,CMH,3759,ATL,3682,Y,0,M88 AM,321,CPE,1795,MEX,1824,Y,0,EMJ E70 AM,321,CUL,1792,GDL,1804,Y,0,ERJ AM,321,CUL,1792,HMO,1807,Y,0,ERJ AM,321,CUL,1792,MEX,1824,,0,EMJ 737 AM,321,CUL,1792,MTY,1825,Y,0,ERJ AM,321,CUL,1792,TIJ,1847,,0,738 AM,321,CUN,1852,ATL,3682,Y,0,757 320 AM,321,CUN,1852,BOS,3448,Y,0,757 AM,321,CUN,1852,DTW,3645,Y,0,320 AM,321,CUN,1852,HAV,1909,,0,737 AM,321,CUN,1852,IND,3585,Y,0,320 AM,321,CUN,1852,JFK,3797,,0,738 AM,321,CUN,1852,LAX,3484,,0,738 AM,321,CUN,1852,MAD,1229,,0,333 AM,321,CUN,1852,MCO,3878,Y,0,757 AM,321,CUN,1852,MEX,1824,,0,738 737 762 EMJ 763 787 AM,321,CUN,1852,MSP,3858,Y,0,320 AM,321,CUN,1852,PTY,1871,Y,0,738 73G AM,321,CUN,1852,RDU,3626,Y,0,M88 AM,321,CUN,1852,SLC,3536,Y,0,320 AM,321,CUU,1797,CJS,1796,Y,0,ERJ AM,321,CUU,1797,GDL,1804,Y,0,ERJ AM,321,CUU,1797,HMO,1807,Y,0,ERJ AM,321,CUU,1797,MEX,1824,,0,737 EMJ AM,321,CUU,1797,MTY,1825,Y,0,ERJ AM,321,CUU,1797,TRC,1845,Y,0,ERJ AM,321,CUZ,2812,LIM,2789,Y,0,319 AM,321,CVG,3488,ATL,3682,Y,0,738 AM,321,CVG,3488,CUN,1852,Y,0,M88 AM,321,CVM,1798,MEX,1824,,0,ATR AM,321,CZM,1800,ATL,3682,Y,0,M88 319 AM,321,DCA,3520,ATL,3682,Y,0,738 M90 M88 73H 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738 AM,321,JFK,3797,CUN,1852,,0,738 AM,321,JFK,3797,MEX,1824,,0,738 787 AM,321,JUL,2792,CUZ,2812,Y,0,319 AM,321,LAP,1816,GDL,1804,Y,0,ERJ AM,321,LAP,1816,MEX,1824,Y,0,EMJ AM,321,LAS,3877,MEX,1824,,0,737 AM,321,LAS,3877,MTY,1825,,0,737 AM,321,LAX,3484,CUN,1852,,0,738 AM,321,LAX,3484,GDL,1804,,0,738 AM,321,LAX,3484,HMO,1807,Y,0,ERJ AM,321,LAX,3484,MEX,1824,,0,737 AM,321,LAX,3484,MZT,1826,Y,0,739 AM,321,LAX,3484,PVR,1836,Y,0,739 320 73H AM,321,LAX,3484,SJD,1840,Y,0,73J 734 AM,321,LAX,3484,ZIH,1856,Y,0,739 AM,321,LAX,3484,ZLO,1858,Y,0,73H AM,321,LGA,3697,ATL,3682,Y,0,M88 757 738 AM,321,LHR,507,MEX,1824,,0,763 787 AM,321,LIM,2789,AQP,2802,Y,0,319 AM,321,LIM,2789,LPB,2762,Y,0,319 AM,321,LIM,2789,MEX,1824,,0,763 738 762 AM,321,LIM,2789,VVI,2771,,0,319 AM,321,LMM,1814,HMO,1807,Y,0,ERJ AM,321,LMM,1814,MEX,1824,Y,0,E70 AM,321,LMM,1814,MZT,1826,Y,0,ERJ AM,321,LPB,2762,LIM,2789,,0,319 AM,321,LZC,1813,MEX,1824,,0,ATR AM,321,MAD,1229,ATL,3682,Y,0,764 AM,321,MAD,1229,BRU,302,,0,E90 AM,321,MAD,1229,CUN,1852,,0,333 AM,321,MAD,1229,MEX,1824,,0,777 787 762 AM,321,MAM,1818,MEX,1824,Y,0,ERJ AM,321,MCI,3458,ATL,3682,Y,0,757 M88 M90 AM,321,MCO,3878,ATL,3682,Y,0,757 753 763 AM,321,MCO,3878,CUN,1852,Y,0,757 AM,321,MCO,3878,MEX,1824,,0,737 AM,321,MEM,3473,ATL,3682,Y,0,M88 320 AM,321,MEX,1824,ACA,1783,,0,ERJ 737 EMJ E70 E75 AM,321,MEX,1824,AGU,1785,Y,0,EMJ ERJ E75 E70 AM,321,MEX,1824,ATL,3682,Y,0,73H 73W 738 EMJ AM,321,MEX,1824,BJX,1815,,0,E70 EMJ ERJ AM,321,MEX,1824,BOG,2709,,0,737 AM,321,MEX,1824,CCS,2851,,0,737 AM,321,MEX,1824,CDG,1382,,0,787 AM,321,MEX,1824,CEN,1794,Y,0,E70 AM,321,MEX,1824,CJS,1796,,0,EMJ AM,321,MEX,1824,CLQ,1808,,0,ATR AM,321,MEX,1824,CME,1789,,0,737 EMJ E70 ERJ AM,321,MEX,1824,CPE,1795,Y,0,EMJ E70 AM,321,MEX,1824,CUL,1792,,0,EMJ 737 AM,321,MEX,1824,CUN,1852,,0,762 737 738 EMJ 763 787 AM,321,MEX,1824,CUU,1797,,0,EMJ 737 AM,321,MEX,1824,CVM,1798,,0,ATR AM,321,MEX,1824,DFW,3670,Y,0,EMJ AM,321,MEX,1824,DGO,1801,Y,0,EMJ ERJ AM,321,MEX,1824,DTW,3645,Y,0,319 AM,321,MEX,1824,EZE,3988,,0,763 762 777 AM,321,MEX,1824,GDL,1804,,0,737 EMJ E70 E75 738 ERJ AM,321,MEX,1824,GRU,2564,,0,777 AM,321,MEX,1824,GUA,1767,Y,0,EMJ AM,321,MEX,1824,HAV,1909,,0,737 AM,321,MEX,1824,HMO,1807,,0,737 AM,321,MEX,1824,HUX,1786,Y,0,EMJ AM,321,MEX,1824,IAD,3714,,0,737 AM,321,MEX,1824,IAH,3550,,0,EMJ AM,321,MEX,1824,JAL,5837,,0,ATR AM,321,MEX,1824,JFK,3797,,0,738 787 AM,321,MEX,1824,LAP,1816,Y,0,EMJ AM,321,MEX,1824,LAS,3877,,0,737 AM,321,MEX,1824,LAX,3484,,0,737 AM,321,MEX,1824,LHR,507,,0,787 AM,321,MEX,1824,LIM,2789,,0,762 738 763 AM,321,MEX,1824,LMM,1814,Y,0,E70 AM,321,MEX,1824,LZC,1813,,0,ATR AM,321,MEX,1824,MAD,1229,,0,777 787 762 AM,321,MEX,1824,MAM,1818,Y,0,ERJ AM,321,MEX,1824,MCO,3878,,0,737 AM,321,MEX,1824,MIA,3576,,0,737 AM,321,MEX,1824,MID,1819,,0,737 EMJ E70 ERJ AM,321,MEX,1824,MLM,1821,Y,0,ERJ AM,321,MEX,1824,MTT,1822,Y,0,EMJ ERJ E75 AM,321,MEX,1824,MTY,1825,,0,737 738 EMJ ERJ AM,321,MEX,1824,MXL,1820,,0,737 AM,321,MEX,1824,MZT,1826,,0,EMJ AM,321,MEX,1824,NLD,1828,Y,0,ERJ AM,321,MEX,1824,OAX,1829,,0,E75 ERJ AM,321,MEX,1824,ORD,3830,,0,737 AM,321,MEX,1824,PAZ,1830,Y,0,ERJ AM,321,MEX,1824,PDS,1834,,0,CRJ AM,321,MEX,1824,PTY,1871,Y,0,738 73G AM,321,MEX,1824,PVR,1836,,0,738 ERJ 737 EMJ AM,321,MEX,1824,PXM,1837,,0,ATR AM,321,MEX,1824,REX,1839,,0,E70 AM,321,MEX,1824,SAL,1892,Y,0,EMJ AM,321,MEX,1824,SAP,1772,Y,0,E70 AM,321,MEX,1824,SAT,3621,Y,0,EMJ AM,321,MEX,1824,SCL,2650,,0,762 763 AM,321,MEX,1824,SFO,3469,,0,737 AM,321,MEX,1824,SJD,1840,,0,EMJ 738 737 ERJ AM,321,MEX,1824,SJO,1885,,0,738 AM,321,MEX,1824,SLP,1842,Y,0,ERJ AM,321,MEX,1824,SLW,1810,Y,0,ERJ AM,321,MEX,1824,TAM,1848,Y,0,E70 ERJ E75 EMJ AM,321,MEX,1824,TAP,1851,,0,E70 EMJ ERJ E75 AM,321,MEX,1824,TGZ,1846,,0,ERJ EMJ AM,321,MEX,1824,TIJ,1847,,0,737 787 777 762 AM,321,MEX,1824,TPQ,1802,,0,CRJ ATR AM,321,MEX,1824,TRC,1845,,0,EMJ AM,321,MEX,1824,UIO,2688,,0,737 AM,321,MEX,1824,VER,1854,,0,E75 AT7 AM,321,MEX,1824,VSA,1853,,0,EMJ 737 ERJ E70 AM,321,MEX,1824,YUL,146,,0,738 AM,321,MEX,1824,ZCL,1855,Y,0,ERJ AM,321,MEX,1824,ZIH,1856,Y,0,ERJ EMJ AM,321,MEX,1824,ZLO,1858,Y,0,E75 ERJ AM,321,MIA,3576,ATL,3682,Y,0,M88 M90 AM,321,MIA,3576,MEX,1824,,0,737 AM,321,MIA,3576,MID,1819,Y,0,EMJ AM,321,MID,1819,MEX,1824,,0,737 EMJ E70 ERJ AM,321,MID,1819,MIA,3576,Y,0,EMJ AM,321,MID,1819,VSA,1853,,0,AT7 AM,321,MKE,3717,ATL,3682,Y,0,M90 AM,321,MLM,1821,MEX,1824,Y,0,ERJ AM,321,MLM,1821,SFO,3469,,0,738 AM,321,MRS,1353,CDG,1382,Y,0,319 AM,321,MSP,3858,ATL,3682,Y,0,320 757 AM,321,MSP,3858,CUN,1852,Y,0,320 AM,321,MSY,3861,ATL,3682,Y,0,M88 757 M90 AM,321,MTT,1822,MEX,1824,Y,0,EMJ ERJ E75 AM,321,MTY,1825,AGU,1785,Y,0,ERJ AM,321,MTY,1825,ATL,3682,Y,0,CR9 AM,321,MTY,1825,BJX,1815,Y,0,ERJ AM,321,MTY,1825,CJS,1796,Y,0,ERJ AM,321,MTY,1825,CUL,1792,Y,0,ERJ AM,321,MTY,1825,CUU,1797,Y,0,ERJ AM,321,MTY,1825,DTW,3645,Y,0,319 AM,321,MTY,1825,GDL,1804,Y,0,ERJ AM,321,MTY,1825,HMO,1807,Y,0,ERJ AM,321,MTY,1825,LAS,3877,,0,737 AM,321,MTY,1825,MEX,1824,,0,737 EMJ ERJ AM,321,MTY,1825,PBC,1831,Y,0,ERJ AM,321,MTY,1825,PTY,1871,Y,0,E90 AM,321,MTY,1825,QRO,1838,Y,0,ERJ AM,321,MTY,1825,SAT,3621,Y,0,ERJ AM,321,MTY,1825,TAM,1848,,0,AT7 AM,321,MTY,1825,TLC,1850,Y,0,ERJ AM,321,MTY,1825,VER,1854,Y,0,ERJ AM,321,MXL,1820,HMO,1807,Y,0,ERJ AM,321,MXL,1820,MEX,1824,,0,737 AM,321,MZT,1826,GDL,1804,Y,0,ERJ AM,321,MZT,1826,LAX,3484,Y,0,739 AM,321,MZT,1826,LMM,1814,Y,0,ERJ AM,321,MZT,1826,MEX,1824,,0,EMJ AM,321,NLD,1828,MEX,1824,Y,0,ERJ AM,321,NRT,2279,MEX,1824,,0,787 AM,321,OAX,1829,MEX,1824,,0,E75 ERJ AM,321,ONT,3734,GDL,1804,,0,738 AM,321,ORD,3830,GDL,1804,,0,737 AM,321,ORD,3830,MEX,1824,,0,737 AM,321,PAP,1897,PTY,1871,Y,0,73G 738 AM,321,PAZ,1830,MEX,1824,Y,0,ERJ AM,321,PAZ,1830,REX,1839,,0,ATR AM,321,PAZ,1830,VSA,1853,,0,ATR AM,321,PBC,1831,MTY,1825,Y,0,ERJ AM,321,PDS,1834,MEX,1824,,0,CRJ AM,321,PHL,3752,ATL,3682,Y,0,M88 757 M90 AM,321,PHX,3462,HMO,1807,,0,ERJ AM,321,PIT,3570,ATL,3682,Y,0,M88 320 AM,321,POS,2902,PTY,1871,,0,73G E90 AM,321,PTY,1871,CUN,1852,Y,0,738 73G AM,321,PTY,1871,GDL,1804,Y,0,E90 AM,321,PTY,1871,MEX,1824,Y,0,738 73G AM,321,PTY,1871,MTY,1825,Y,0,E90 AM,321,PTY,1871,PAP,1897,Y,0,73G 738 AM,321,PTY,1871,POS,2902,,0,73G E90 AM,321,PVG,3406,TIJ,1847,,0,777 AM,321,PVR,1836,ATL,3682,Y,0,757 AM,321,PVR,1836,GDL,1804,Y,0,ERJ AM,321,PVR,1836,LAX,3484,Y,0,739 320 73H AM,321,PVR,1836,MEX,1824,,0,ERJ 738 737 EMJ AM,321,PVR,1836,SAN,3731,Y,0,73J AM,321,PVR,1836,SFO,3469,Y,0,73J 739 AM,321,PVR,1836,SLC,3536,Y,0,CR9 AM,321,PXM,1837,MEX,1824,,0,ATR AM,321,QRO,1838,MTY,1825,Y,0,ERJ AM,321,RDU,3626,ATL,3682,Y,0,M88 M90 739 AM,321,RDU,3626,CUN,1852,Y,0,M88 AM,321,REX,1839,MEX,1824,,0,E70 AM,321,REX,1839,PAZ,1830,,0,ATR AM,321,RIC,3608,ATL,3682,Y,0,M90 M88 AM,321,SAL,1892,MEX,1824,Y,0,EMJ AM,321,SAN,3731,PVR,1836,Y,0,73J AM,321,SAP,1772,MEX,1824,Y,0,E70 AM,321,SAT,3621,MEX,1824,Y,0,EMJ AM,321,SAT,3621,MTY,1825,Y,0,ERJ AM,321,SCL,2650,MEX,1824,,0,762 763 AM,321,SEA,3577,ATL,3682,Y,0,739 76W 757 AM,321,SFO,3469,ATL,3682,Y,0,763 AM,321,SFO,3469,BJX,1815,,0,738 AM,321,SFO,3469,GDL,1804,,0,738 AM,321,SFO,3469,MEX,1824,,0,737 AM,321,SFO,3469,MLM,1821,,0,738 AM,321,SFO,3469,PVR,1836,Y,0,73J 739 AM,321,SFO,3469,SJD,1840,Y,0,734 AM,321,SJC,3748,GDL,1804,Y,0,73H AM,321,SJC,3748,SJD,1840,Y,0,734 AM,321,SJD,1840,ATL,3682,Y,0,73W 738 AM,321,SJD,1840,LAX,3484,,0,734 AM,321,SJD,1840,MEX,1824,,0,EMJ 738 737 AM,321,SJD,1840,SFO,3469,Y,0,734 AM,321,SJD,1840,SJC,3748,Y,0,734 AM,321,SJD,1840,SLC,3536,Y,0,CR9 AM,321,SJO,1885,MEX,1824,,0,738 AM,321,SJU,2890,ATL,3682,Y,0,757 753 AM,321,SLC,3536,ATL,3682,Y,0,763 AM,321,SLC,3536,CUN,1852,Y,0,320 AM,321,SLC,3536,PVR,1836,Y,0,CR9 AM,321,SLC,3536,SJD,1840,Y,0,CR9 AM,321,SLP,1842,MEX,1824,Y,0,ERJ AM,321,SLW,1810,MEX,1824,Y,0,ERJ AM,321,SMF,3817,GDL,1804,,0,738 AM,321,STL,3678,ATL,3682,Y,0,717 M90 M88 AM,321,TAM,1848,MEX,1824,Y,0,ERJ E70 E75 EMJ AM,321,TAM,1848,MTY,1825,,0,AT7 AM,321,TAM,1848,VER,1854,,0,AT7 AM,321,TAP,1851,GUA,1767,Y,0,ERJ AM,321,TAP,1851,MEX,1824,,0,ERJ E70 EMJ E75 AM,321,TGZ,1846,MEX,1824,,0,ERJ EMJ AM,321,TIJ,1847,BJX,1815,,0,EMJ AM,321,TIJ,1847,CJS,1796,Y,0,ERJ AM,321,TIJ,1847,CUL,1792,,0,738 AM,321,TIJ,1847,DGO,1801,Y,0,EMJ AM,321,TIJ,1847,GDL,1804,,0,738 AM,321,TIJ,1847,HMO,1807,Y,0,ERJ AM,321,TIJ,1847,MEX,1824,,0,737 787 762 777 AM,321,TIJ,1847,NRT,2279,,0,787 AM,321,TIJ,1847,PVG,3406,,0,777 AM,321,TLC,1850,ACA,1783,Y,0,ERJ AM,321,TLC,1850,GDL,1804,Y,0,ERJ AM,321,TLC,1850,MTY,1825,Y,0,ERJ AM,321,TPA,3646,ATL,3682,Y,0,757 AM,321,TPQ,1802,MEX,1824,,0,CRJ ATR AM,321,TRC,1845,CUU,1797,Y,0,ERJ AM,321,TRC,1845,GDL,1804,Y,0,ERJ AM,321,TRC,1845,MEX,1824,,0,EMJ AM,321,UIO,2688,MEX,1824,,0,737 AM,321,VER,1854,MEX,1824,,0,AT7 AM,321,VER,1854,MTY,1825,Y,0,ERJ AM,321,VER,1854,TAM,1848,,0,AT7 AM,321,VER,1854,VSA,1853,,0,AT7 AM,321,VSA,1853,MEX,1824,,0,737 EMJ ERJ E70 AM,321,VSA,1853,MID,1819,,0,AT7 AM,321,VSA,1853,PAZ,1830,,0,ATR AM,321,VSA,1853,VER,1854,,0,AT7 AM,321,VVI,2771,LIM,2789,Y,0,319 AM,321,XNA,4356,ATL,3682,Y,0,CRJ AM,321,YUL,146,ATL,3682,Y,0,CR9 CR7 AM,321,YUL,146,MEX,1824,,0,738 AM,321,ZCL,1855,MEX,1824,Y,0,ERJ AM,321,ZIH,1856,LAX,3484,Y,0,739 AM,321,ZIH,1856,MEX,1824,Y,0,ERJ EMJ AM,321,ZLO,1858,LAX,3484,Y,0,73H AM,321,ZLO,1858,MEX,1824,Y,0,E75 ERJ AP,240,AMS,580,CTA,1509,,0,320 AP,240,AMS,580,LIN,1529,Y,0,32S 321 AP,240,AMS,580,PMO,1512,,0,320 AP,240,ATH,3941,VCE,1551,,0,320 AP,240,BLQ,1538,CTA,1509,,0,320 AP,240,BLQ,1538,TIA,1190,,0,320 AP,240,BRI,1501,LIN,1529,Y,0,32S AP,240,CDG,1382,CTA,1509,,0,320 AP,240,CDG,1382,LIN,1529,Y,0,32S 320 319 AP,240,CDG,1382,PMO,1512,,0,320 AP,240,CPH,609,VCE,1551,,0,320 AP,240,CTA,1509,AMS,580,,0,320 AP,240,CTA,1509,BLQ,1538,,0,320 AP,240,CTA,1509,CDG,1382,,0,320 AP,240,CTA,1509,DUS,345,,0,320 AP,240,CTA,1509,LGW,502,,0,320 AP,240,CTA,1509,LIN,1529,Y,0,319 E90 AP,240,CTA,1509,LYS,1335,,0,320 AP,240,CTA,1509,MXP,1524,,0,320 AP,240,CTA,1509,PSA,1562,,0,320 AP,240,CTA,1509,STR,350,,0,320 AP,240,CTA,1509,SVO,2985,,0,320 AP,240,CTA,1509,TRN,1526,,0,320 AP,240,CTA,1509,TXL,351,,0,320 AP,240,CTA,1509,VCE,1551,,0,320 AP,240,CTA,1509,VIE,1613,,0,320 AP,240,CTA,1509,VRN,1550,,0,320 AP,240,DUS,345,CTA,1509,,0,320 AP,240,GOA,1528,TIA,1190,,0,320 AP,240,LED,2948,VCE,1551,,0,320 AP,240,LGW,502,CTA,1509,,0,320 AP,240,LGW,502,PMO,1512,,0,320 AP,240,LIN,1529,AMS,580,Y,0,32S 321 AP,240,LIN,1529,BRI,1501,Y,0,32S E75 319 AP,240,LIN,1529,CDG,1382,Y,0,32S 320 319 AP,240,LIN,1529,CTA,1509,Y,0,319 E90 AP,240,LIN,1529,NAP,1561,Y,0,E90 32S AP,240,LIN,1529,PMO,1512,Y,0,32S 320 E75 AP,240,LYS,1335,CTA,1509,,0,320 AP,240,MXP,1524,CTA,1509,,0,320 AP,240,MXP,1524,TIA,1190,,0,320 AP,240,NAP,1561,LIN,1529,Y,0,E90 32S AP,240,PMO,1512,AMS,580,,0,320 AP,240,PMO,1512,CDG,1382,,0,320 AP,240,PMO,1512,LGW,502,,0,320 AP,240,PMO,1512,LIN,1529,Y,0,32S E75 AP,240,PMO,1512,SVO,2985,,0,320 AP,240,PMO,1512,TRN,1526,,0,320 AP,240,PMO,1512,TXL,351,,0,320 AP,240,PMO,1512,VCE,1551,,0,320 AP,240,PMO,1512,VRN,1550,,0,320 AP,240,PRG,1587,PSA,1562,,0,320 AP,240,PRG,1587,VCE,1551,,0,320 AP,240,PSA,1562,CTA,1509,,0,320 AP,240,PSA,1562,PRG,1587,,0,320 AP,240,PSA,1562,SVO,2985,,0,320 AP,240,PSA,1562,TIA,1190,,0,320 AP,240,PSA,1562,TXL,351,,0,320 AP,240,STR,350,CTA,1509,,0,320 AP,240,SUF,1508,TRN,1526,,0,320 AP,240,SUF,1508,VCE,1551,,0,320 AP,240,SVO,2985,CTA,1509,,0,320 AP,240,SVO,2985,PMO,1512,,0,320 AP,240,SVO,2985,PSA,1562,,0,320 AP,240,TIA,1190,BLQ,1538,,0,320 AP,240,TIA,1190,GOA,1528,,0,320 AP,240,TIA,1190,MXP,1524,,0,320 AP,240,TIA,1190,PSA,1562,,0,320 AP,240,TIA,1190,VCE,1551,,0,320 AP,240,TIA,1190,VRN,1550,,0,320 AP,240,TRN,1526,CTA,1509,,0,320 AP,240,TRN,1526,PMO,1512,,0,320 AP,240,TRN,1526,SUF,1508,,0,320 AP,240,TXL,351,CTA,1509,,0,320 AP,240,TXL,351,PMO,1512,,0,320 AP,240,TXL,351,PSA,1562,,0,320 AP,240,VCE,1551,ATH,3941,,0,320 AP,240,VCE,1551,CPH,609,,0,320 AP,240,VCE,1551,CTA,1509,,0,320 AP,240,VCE,1551,LED,2948,,0,320 AP,240,VCE,1551,PMO,1512,,0,320 AP,240,VCE,1551,PRG,1587,,0,320 AP,240,VCE,1551,SUF,1508,,0,320 AP,240,VCE,1551,TIA,1190,,0,320 AP,240,VIE,1613,CTA,1509,,0,320 AP,240,VRN,1550,CTA,1509,,0,320 AP,240,VRN,1550,PMO,1512,,0,320 AP,240,VRN,1550,TIA,1190,,0,320 AR,412,AEP,2442,AFA,2454,Y,0,E90 AR,412,AEP,2442,ASU,2699,,0,737 AR,412,AEP,2442,BHI,2501,,0,737 AR,412,AEP,2442,BRC,2513,,0,737 AR,412,AEP,2442,COR,2443,,0,737 AR,412,AEP,2442,CPC,2517,Y,0,E90 AR,412,AEP,2442,CRD,2487,,0,737 AR,412,AEP,2442,CTC,2455,Y,0,E90 AR,412,AEP,2442,CWB,2545,Y,0,E90 AR,412,AEP,2442,EQS,2488,Y,0,E90 AR,412,AEP,2442,FLN,2555,,0,737 AR,412,AEP,2442,FMA,2470,Y,0,E90 AR,412,AEP,2442,FTE,4061,,0,737 AR,412,AEP,2442,GIG,2560,,0,737 AR,412,AEP,2442,GRU,2564,,0,737 AR,412,AEP,2442,IGR,2471,,0,737 AR,412,AEP,2442,IRJ,2458,Y,0,E90 AR,412,AEP,2442,JUJ,2477,,0,737 AR,412,AEP,2442,LUQ,2467,Y,0,E90 AR,412,AEP,2442,MDQ,2508,,0,737 AR,412,AEP,2442,MDZ,2452,,0,737 AR,412,AEP,2442,MVD,2816,,0,737 AR,412,AEP,2442,NQN,2509,,0,737 AR,412,AEP,2442,PDP,6777,Y,0,E90 AR,412,AEP,2442,POA,2599,,0,737 AR,412,AEP,2442,PRA,2439,Y,0,E90 AR,412,AEP,2442,PSS,2474,,0,737 AR,412,AEP,2442,REL,2490,,0,737 AR,412,AEP,2442,RES,2469,,0,737 AR,412,AEP,2442,RGA,2495,,0,737 AR,412,AEP,2442,RGL,2496,,0,737 AR,412,AEP,2442,RHD,8914,Y,0,E90 AR,412,AEP,2442,ROS,2440,Y,0,E90 AR,412,AEP,2442,RSA,2512,Y,0,E90 AR,412,AEP,2442,SCL,2650,,0,737 AR,412,AEP,2442,SDE,2456,,0,737 AR,412,AEP,2442,SFN,2441,Y,0,E90 AR,412,AEP,2442,SLA,2476,,0,737 AR,412,AEP,2442,TUC,2460,,0,737 AR,412,AEP,2442,UAQ,2461,,0,737 AR,412,AEP,2442,USH,2497,,0,737 AR,412,AEP,2442,VDM,2491,Y,0,E90 AR,412,AFA,2454,AEP,2442,Y,0,E90 AR,412,AFA,2454,LUQ,2467,Y,0,E90 AR,412,ASU,2699,AEP,2442,,0,737 AR,412,ASU,2699,EZE,3988,,0,737 AR,412,BCN,1218,EZE,3988,,0,340 AR,412,BHI,2501,AEP,2442,,0,737 AR,412,BOG,2709,EZE,3988,,0,340 AR,412,BRC,2513,AEP,2442,,0,737 AR,412,BRC,2513,COR,2443,,0,737 AR,412,BRC,2513,EZE,3988,,0,737 AR,412,BRC,2513,MDZ,2452,,0,737 AR,412,BSB,2531,EZE,3988,,0,737 AR,412,CCS,2851,EZE,3988,,0,340 AR,412,CNF,2537,AEP,2442,Y,0,E90 AR,412,COR,2443,AEP,2442,,0,737 AR,412,COR,2443,BRC,2513,,0,737 AR,412,COR,2443,EZE,3988,,0,737 AR,412,COR,2443,JUJ,2477,Y,0,E90 AR,412,COR,2443,MDZ,2452,,0,737 AR,412,COR,2443,SLA,2476,Y,0,E90 AR,412,CPC,2517,AEP,2442,Y,0,E90 AR,412,CRD,2487,AEP,2442,,0,737 AR,412,CRD,2487,NQN,2509,,0,737 AR,412,CTC,2455,AEP,2442,Y,0,E90 AR,412,CUN,1852,EZE,3988,,0,340 AR,412,CWB,2545,AEP,2442,Y,0,E90 AR,412,EQS,2488,AEP,2442,Y,0,E90 AR,412,EZE,3988,ASU,2699,,0,737 AR,412,EZE,3988,BCN,1218,,0,340 AR,412,EZE,3988,BOG,2709,,0,340 AR,412,EZE,3988,BRC,2513,,0,737 AR,412,EZE,3988,BSB,2531,,0,737 AR,412,EZE,3988,CCS,2851,,0,340 AR,412,EZE,3988,COR,2443,,0,737 AR,412,EZE,3988,CUN,1852,,0,340 AR,412,EZE,3988,FCO,1555,,0,340 AR,412,EZE,3988,FTE,4061,,0,737 AR,412,EZE,3988,GIG,2560,,0,737 AR,412,EZE,3988,GRU,2564,Y,0,E90 AR,412,EZE,3988,IGR,2471,,0,737 AR,412,EZE,3988,JFK,3797,,0,330 AR,412,EZE,3988,LIM,2789,,0,737 AR,412,EZE,3988,MAD,1229,,0,340 AR,412,EZE,3988,MDZ,2452,Y,0,E90 AR,412,EZE,3988,MIA,3576,,0,340 330 AR,412,EZE,3988,MVD,2816,Y,0,E90 AR,412,EZE,3988,REL,2490,,0,737 AR,412,EZE,3988,ROS,2440,Y,0,E90 AR,412,EZE,3988,SCL,2650,Y,0,E90 AR,412,EZE,3988,USH,2497,,0,340 AR,412,EZE,3988,VVI,2771,,0,737 AR,412,FCO,1555,EZE,3988,,0,340 AR,412,FLN,2555,AEP,2442,,0,737 AR,412,FMA,2470,AEP,2442,Y,0,E90 AR,412,FTE,4061,AEP,2442,,0,737 AR,412,FTE,4061,EZE,3988,,0,737 AR,412,FTE,4061,USH,2497,,0,737 AR,412,GIG,2560,AEP,2442,,0,737 AR,412,GIG,2560,EZE,3988,,0,737 AR,412,GRU,2564,AEP,2442,,0,737 AR,412,GRU,2564,EZE,3988,Y,0,E90 AR,412,IGR,2471,AEP,2442,,0,737 AR,412,IGR,2471,EZE,3988,,0,737 AR,412,IGR,2471,SLA,2476,Y,0,E90 AR,412,IRJ,2458,AEP,2442,Y,0,E90 AR,412,JFK,3797,EZE,3988,,0,330 AR,412,JUJ,2477,AEP,2442,,0,737 AR,412,JUJ,2477,COR,2443,Y,0,E90 AR,412,LIM,2789,EZE,3988,,0,737 AR,412,LUQ,2467,AEP,2442,Y,0,E90 AR,412,MAD,1229,EZE,3988,,0,340 AR,412,MDQ,2508,AEP,2442,,0,737 AR,412,MDZ,2452,AEP,2442,,0,737 AR,412,MDZ,2452,BRC,2513,,0,737 AR,412,MDZ,2452,COR,2443,,0,737 AR,412,MDZ,2452,EZE,3988,Y,0,E90 AR,412,MDZ,2452,NQN,2509,,0,737 AR,412,MDZ,2452,SLA,2476,Y,0,E90 AR,412,MIA,3576,EZE,3988,,0,330 340 AR,412,MVD,2816,AEP,2442,,0,737 AR,412,MVD,2816,EZE,3988,Y,0,E90 AR,412,NQN,2509,AEP,2442,,0,737 AR,412,NQN,2509,CRD,2487,,0,737 AR,412,NQN,2509,MDZ,2452,,0,737 AR,412,PDP,6777,AEP,2442,Y,0,E90 AR,412,POA,2599,AEP,2442,,0,737 AR,412,PRA,2439,AEP,2442,Y,0,E90 AR,412,PSS,2474,AEP,2442,,0,737 AR,412,REL,2490,AEP,2442,,0,737 AR,412,REL,2490,EZE,3988,,0,737 AR,412,RES,2469,AEP,2442,,0,737 AR,412,RGA,2495,AEP,2442,,0,737 AR,412,RGL,2496,AEP,2442,,0,737 AR,412,RHD,8914,AEP,2442,Y,0,E90 AR,412,ROS,2440,AEP,2442,Y,0,E90 AR,412,ROS,2440,EZE,3988,Y,0,E90 AR,412,RSA,2512,AFA,2454,Y,0,E90 AR,412,SCL,2650,AEP,2442,,0,737 AR,412,SCL,2650,EZE,3988,Y,0,E90 AR,412,SDE,2456,AEP,2442,,0,737 AR,412,SFN,2441,AEP,2442,Y,0,E90 AR,412,SLA,2476,AEP,2442,,0,737 AR,412,SLA,2476,COR,2443,Y,0,E90 AR,412,SLA,2476,IGR,2471,Y,0,E90 AR,412,SLA,2476,MDZ,2452,Y,0,E90 AR,412,TUC,2460,AEP,2442,,0,737 AR,412,UAQ,2461,AEP,2442,,0,737 AR,412,USH,2497,AEP,2442,,0,737 AR,412,USH,2497,EZE,3988,,0,340 AR,412,USH,2497,FTE,4061,,0,737 AR,412,VDM,2491,REL,2490,Y,0,E90 AR,412,VVI,2771,EZE,3988,,0,737 AS,439,ABQ,4019,LAX,3484,Y,0,CR7 CRJ AS,439,ADK,5959,ANC,3774,,0,734 73Q AS,439,ADQ,3531,ANC,3774,,0,734 73Q AS,439,AKN,3794,ANC,3774,Y,0,SF3 AS,439,ALW,5719,SEA,3577,Y,0,DH4 AS,439,ANC,3774,ADK,5959,,0,734 73Q AS,439,ANC,3774,ADQ,3531,,0,734 73Q AS,439,ANC,3774,AKN,3794,Y,0,SF3 AS,439,ANC,3774,ANI,5967,,0,SF3 AS,439,ANC,3774,BET,3599,,0,73Q 734 AS,439,ANC,3774,BRW,3571,,0,73Q AS,439,ANC,3774,CDB,3854,Y,0,SF3 AS,439,ANC,3774,CDV,3610,,0,73Q AS,439,ANC,3774,DLG,3460,Y,0,SF3 AS,439,ANC,3774,ENA,3628,Y,0,BE1 DH8 AS,439,ANC,3774,FAI,3832,,0,73H 73Q AS,439,ANC,3774,HNL,3728,,0,73H AS,439,ANC,3774,HOM,3664,Y,0,BE1 DH8 AS,439,ANC,3774,JNU,3492,,0,734 73Q AS,439,ANC,3774,KSM,6718,Y,0,DH8 AS,439,ANC,3774,LAS,3877,,0,73H AS,439,ANC,3774,LAX,3484,,0,73H AS,439,ANC,3774,MCG,5965,,0,SF3 AS,439,ANC,3774,OME,3615,,0,73Q 734 AS,439,ANC,3774,ORD,3830,,0,73H AS,439,ANC,3774,OTZ,3693,,0,73Q 734 AS,439,ANC,3774,PDX,3720,,0,73H 73G 734 739 AS,439,ANC,3774,SCC,3620,,0,73Q AS,439,ANC,3774,SDP,6742,Y,0,SF3 AS,439,ANC,3774,SEA,3577,,0,73H 73J 734 73Q 739 73G AS,439,ANC,3774,SNP,3426,Y,0,SF3 AS,439,ANC,3774,STG,3428,Y,0,SF3 AS,439,ANC,3774,UNK,7088,Y,0,SF3 DH8 AS,439,ANC,3774,VDZ,3865,Y,0,DH8 BE1 AS,439,ANI,5967,ANC,3774,,0,SF3 AS,439,ANI,5967,MCG,5965,,0,SF3 AS,439,ATL,3682,BHM,3811,Y,0,M88 320 AS,439,ATL,3682,BNA,3690,Y,0,738 319 320 M88 73H 717 AS,439,ATL,3682,CHS,3806,Y,0,M88 320 73W 717 319 AS,439,ATL,3682,CLT,3876,Y,0,M88 M90 319 AS,439,ATL,3682,GSO,4008,Y,0,M88 CR9 73H 320 738 CR7 319 AS,439,ATL,3682,HSV,4113,Y,0,M88 717 CRJ AS,439,ATL,3682,JAN,3580,Y,0,717 CR9 M88 CRJ AS,439,ATL,3682,JAX,3712,Y,0,757 739 M90 AS,439,ATL,3682,LAX,3484,Y,0,757 76W 763 739 AS,439,ATL,3682,MEM,3473,Y,0,M88 320 319 AS,439,ATL,3682,MIA,3576,Y,0,757 320 73H AS,439,ATL,3682,MSY,3861,Y,0,757 M88 M90 AS,439,ATL,3682,ORF,3611,Y,0,M90 M88 319 AS,439,ATL,3682,PBI,3722,Y,0,757 M88 M90 AS,439,ATL,3682,PDX,3720,,0,73J 73H AS,439,ATL,3682,PNS,3564,Y,0,M90 717 AS,439,ATL,3682,RDU,3626,Y,0,M90 M88 739 320 738 AS,439,ATL,3682,RSW,3793,Y,0,757 M88 M90 AS,439,ATL,3682,SAN,3731,Y,0,739 763 AS,439,ATL,3682,SAV,3613,Y,0,M88 717 319 AS,439,ATL,3682,SEA,3577,,0,73J AS,439,ATL,3682,SLC,3536,Y,0,763 757 AS,439,ATL,3682,TYS,3676,Y,0,717 CR7 CRJ CR9 AS,439,AUS,3673,LAX,3484,Y,0,738 M83 AS,439,AUS,3673,SEA,3577,,0,739 73H AS,439,BDL,3825,LAX,3484,Y,0,738 AS,439,BET,3599,ANC,3774,,0,73Q 734 AS,439,BHM,3811,ATL,3682,Y,0,M88 320 AS,439,BIL,4021,PDX,3720,Y,0,DH4 AS,439,BIL,4021,SEA,3577,Y,0,DH4 AS,439,BLI,3777,HNL,3728,,0,73H AS,439,BLI,3777,LAS,3877,,0,73H AS,439,BLI,3777,PDX,3720,Y,0,DH4 AS,439,BLI,3777,SEA,3577,Y,0,DH4 AS,439,BNA,3690,ATL,3682,Y,0,M88 738 319 320 717 AS,439,BNA,3690,LAX,3484,Y,0,738 AS,439,BOI,3495,LWS,3945,Y,0,DH4 AS,439,BOI,3495,PDX,3720,Y,0,DH4 CR7 AS,439,BOI,3495,SAN,3731,Y,0,CR7 AS,439,BOI,3495,SEA,3577,Y,0,DH4 AS,439,BOI,3495,SJC,3748,Y,0,DH4 AS,439,BOI,3495,SMF,3817,Y,0,DH4 AS,439,BOS,3448,ISP,3857,,0,SF3 AS,439,BOS,3448,LAX,3484,Y,0,738 757 AS,439,BOS,3448,PBG,3771,Y,0,SF3 AS,439,BOS,3448,PDX,3720,,0,73H AS,439,BOS,3448,PQI,3528,,0,SF3 AS,439,BOS,3448,SAN,3731,,0,73H AS,439,BOS,3448,SEA,3577,,0,73J 73H AS,439,BRW,3571,ANC,3774,,0,73Q AS,439,BRW,3571,FAI,3832,,0,73H 73Q AS,439,BRW,3571,SCC,3620,,0,73Q AS,439,BUR,3644,PDX,3720,Y,0,CR7 AS,439,BUR,3644,SEA,3577,,0,73H 73G AS,439,BZN,4020,SEA,3577,Y,0,DH4 AS,439,CDB,3854,ANC,3774,Y,0,SF3 AS,439,CDV,3610,ANC,3774,,0,73Q AS,439,CDV,3610,YAK,6803,,0,73Q AS,439,CHS,3806,ATL,3682,Y,0,M88 73W 717 319 AS,439,CLT,3876,ATL,3682,Y,0,M90 M88 AS,439,CMH,3759,LAX,3484,Y,0,738 AS,439,COS,3819,SEA,3577,,0,CR7 AS,439,DCA,3520,LAX,3484,,0,73H AS,439,DCA,3520,PDX,3720,,0,73H AS,439,DCA,3520,SEA,3577,,0,73H AS,439,DEN,3751,LAX,3484,Y,0,CR7 AS,439,DEN,3751,SEA,3577,,0,739 73G 73H AS,439,DFW,3670,LAX,3484,Y,0,738 763 757 M83 AS,439,DFW,3670,PDX,3720,,0,73J AS,439,DFW,3670,SAN,3731,Y,0,738 M80 M83 757 AS,439,DFW,3670,SEA,3577,,0,73J 739 AS,439,DFW,3670,SFO,3469,Y,0,738 757 763 AS,439,DFW,3670,SNA,3867,Y,0,738 AS,439,DLG,3460,ANC,3774,Y,0,SF3 AS,439,DTW,3645,PDX,3720,Y,0,739 AS,439,DTW,3645,SAN,3731,Y,0,753 739 757 AS,439,EAT,6916,SEA,3577,Y,0,DH4 AS,439,ELP,3559,LAX,3484,Y,0,CRJ AS,439,ENA,3628,ANC,3774,Y,0,BE1 DH8 AS,439,EUG,4099,PDX,3720,Y,0,DH4 AS,439,EUG,4099,SEA,3577,Y,0,DH4 AS,439,EWR,3494,SEA,3577,,0,73J AS,439,FAI,3832,ANC,3774,,0,73H 73Q AS,439,FAI,3832,SCC,3620,,0,73H 73Q AS,439,FAI,3832,SEA,3577,,0,73J 73H 73G 739 AS,439,FAT,3687,LAX,3484,Y,0,CRJ AS,439,FAT,3687,PDX,3720,Y,0,DH4 AS,439,FAT,3687,SAN,3731,Y,0,DH4 AS,439,FAT,3687,SEA,3577,,0,CR7 AS,439,FCA,4127,SEA,3577,Y,0,DH4 AS,439,FLL,3533,SEA,3577,,0,73H AS,439,GDL,1804,LAX,3484,,0,73H AS,439,GDL,1804,SJC,3748,,0,73H AS,439,GEG,3467,PDX,3720,Y,0,DH4 AS,439,GEG,3467,SEA,3577,,0,734 AS,439,GSO,4008,ATL,3682,Y,0,M88 73H CR9 CR7 320 738 319 AS,439,GTF,3880,HLN,3504,Y,0,DH4 AS,439,GTF,3880,SEA,3577,Y,0,DH4 AS,439,HLN,3504,GTF,3880,Y,0,DH4 AS,439,HLN,3504,SEA,3577,Y,0,DH4 AS,439,HNL,3728,ANC,3774,,0,73H AS,439,HNL,3728,BLI,3777,,0,73H AS,439,HNL,3728,LAX,3484,Y,0,757 AS,439,HNL,3728,OAK,3453,,0,73H AS,439,HNL,3728,PDX,3720,,0,73H AS,439,HNL,3728,SAN,3731,,0,73H AS,439,HNL,3728,SEA,3577,,0,73H AS,439,HNL,3728,SJC,3748,,0,73H AS,439,HOM,3664,ANC,3774,Y,0,BE1 DH8 AS,439,HSV,4113,ATL,3682,Y,0,M88 717 CR7 CRJ AS,439,IAH,3550,LAX,3484,Y,0,CR7 AS,439,IAH,3550,SEA,3577,,0,73J AS,439,IND,3585,LAX,3484,Y,0,738 AS,439,ISP,3857,BOS,3448,,0,SF3 AS,439,JAN,3580,ATL,3682,Y,0,717 CR9 CRJ M88 AS,439,JAX,3712,ATL,3682,Y,0,757 739 M90 738 AS,439,JFK,3797,LAX,3484,Y,0,321 762 AS,439,JFK,3797,SAN,3731,Y,0,757 73H AS,439,JFK,3797,SEA,3577,Y,0,738 AS,439,JFK,3797,SFO,3469,Y,0,321 763 AS,439,JNU,3492,ANC,3774,,0,734 73Q AS,439,JNU,3492,KTN,3808,,0,734 AS,439,JNU,3492,PSG,4147,,0,73Q AS,439,JNU,3492,SEA,3577,,0,734 73Q 73H AS,439,JNU,3492,SIT,3856,,0,734 AS,439,JNU,3492,YAK,6803,,0,73Q AS,439,KOA,3514,LAX,3484,Y,0,757 AS,439,KOA,3514,OAK,3453,,0,73H AS,439,KOA,3514,SEA,3577,,0,73H AS,439,KOA,3514,SJC,3748,,0,73H AS,439,KSM,6718,ANC,3774,Y,0,DH8 AS,439,KTN,3808,JNU,3492,,0,734 AS,439,KTN,3808,SEA,3577,,0,734 73Q AS,439,KTN,3808,SIT,3856,,0,734 AS,439,KTN,3808,WRG,5969,,0,73Q AS,439,LAS,3877,ANC,3774,,0,73H AS,439,LAS,3877,BLI,3777,,0,73H AS,439,LAS,3877,PDX,3720,,0,73G 73H AS,439,LAS,3877,SEA,3577,,0,73G 73H 739 73J AS,439,LAX,3484,ABQ,4019,Y,0,CRJ CR7 AS,439,LAX,3484,ANC,3774,,0,73G 739 AS,439,LAX,3484,ATL,3682,Y,0,763 757 73H 76W AS,439,LAX,3484,AUS,3673,Y,0,M83 738 AS,439,LAX,3484,BDL,3825,Y,0,738 AS,439,LAX,3484,BNA,3690,Y,0,738 AS,439,LAX,3484,BOS,3448,Y,0,757 738 AS,439,LAX,3484,CMH,3759,Y,0,738 AS,439,LAX,3484,DCA,3520,,0,73H AS,439,LAX,3484,DEN,3751,Y,0,CR7 AS,439,LAX,3484,DFW,3670,Y,0,738 763 757 M83 AS,439,LAX,3484,ELP,3559,Y,0,CRJ AS,439,LAX,3484,FAT,3687,Y,0,CRJ AS,439,LAX,3484,GDL,1804,,0,73H AS,439,LAX,3484,HNL,3728,Y,0,757 753 AS,439,LAX,3484,IAH,3550,Y,0,CR7 AS,439,LAX,3484,IND,3585,Y,0,738 AS,439,LAX,3484,JFK,3797,Y,0,321 762 AS,439,LAX,3484,KOA,3514,Y,0,757 AS,439,LAX,3484,LIH,3602,Y,0,757 AS,439,LAX,3484,LTO,1817,Y,0,DH4 AS,439,LAX,3484,MCO,3878,Y,0,757 738 AS,439,LAX,3484,MEX,1824,,0,73H AS,439,LAX,3484,MFR,4101,Y,0,DH4 AS,439,LAX,3484,MIA,3576,Y,0,757 777 763 738 AS,439,LAX,3484,MMH,7081,Y,0,DH4 AS,439,LAX,3484,MRY,3948,Y,0,CRJ AS,439,LAX,3484,MSY,3861,Y,0,319 AS,439,LAX,3484,MZT,1826,,0,739 AS,439,LAX,3484,OGG,3456,Y,0,757 AS,439,LAX,3484,OKC,3863,Y,0,CR7 AS,439,LAX,3484,ORD,3830,Y,0,738 AS,439,LAX,3484,PDX,3720,,0,73J 73H 734 739 73G AS,439,LAX,3484,PHX,3462,Y,0,CRJ AS,439,LAX,3484,PIT,3570,Y,0,738 AS,439,LAX,3484,PVR,1836,,0,739 73H AS,439,LAX,3484,RDU,3626,Y,0,738 AS,439,LAX,3484,RNO,3807,Y,0,CRJ AS,439,LAX,3484,SAF,3784,Y,0,CRJ AS,439,LAX,3484,SAN,3731,Y,0,CRJ CR7 AS,439,LAX,3484,SEA,3577,,0,73H 734 739 73J 73G AS,439,LAX,3484,SFO,3469,Y,0,738 AS,439,LAX,3484,SJD,1840,,0,73J 734 AS,439,LAX,3484,SMF,3817,Y,0,CRJ AS,439,LAX,3484,STL,3678,Y,0,M83 AS,439,LAX,3484,STS,6992,Y,0,DH4 AS,439,LAX,3484,TUS,3636,Y,0,CRJ AS,439,LAX,3484,YVR,156,,0,734 739 73J AS,439,LAX,3484,ZIH,1856,,0,739 AS,439,LAX,3484,ZLO,1858,,0,73H AS,439,LGB,3582,PDX,3720,Y,0,CR7 AS,439,LGB,3582,SEA,3577,Y,0,CR7 AS,439,LIH,3602,LAX,3484,Y,0,757 AS,439,LIH,3602,OAK,3453,,0,73H AS,439,LIH,3602,SAN,3731,,0,73H AS,439,LIH,3602,SEA,3577,,0,73H AS,439,LIH,3602,SJC,3748,,0,73H AS,439,LTO,1817,LAX,3484,Y,0,DH4 AS,439,LWS,3945,BOI,3495,Y,0,DH4 AS,439,LWS,3945,PUW,3944,Y,0,DH4 AS,439,LWS,3945,SEA,3577,Y,0,DH4 AS,439,MCG,5965,ANC,3774,,0,SF3 AS,439,MCG,5965,ANI,5967,,0,SF3 AS,439,MCI,3458,SEA,3577,,0,73J AS,439,MCO,3878,LAX,3484,Y,0,757 738 AS,439,MCO,3878,SAN,3731,,0,73H AS,439,MCO,3878,SEA,3577,,0,73H 73J AS,439,MEM,3473,ATL,3682,Y,0,M88 320 319 AS,439,MEX,1824,LAX,3484,,0,73H AS,439,MFR,4101,LAX,3484,Y,0,DH4 AS,439,MFR,4101,PDX,3720,Y,0,DH4 AS,439,MFR,4101,SEA,3577,Y,0,DH4 AS,439,MIA,3576,ATL,3682,Y,0,M88 757 M90 73H AS,439,MIA,3576,LAX,3484,Y,0,777 763 757 738 AS,439,MIA,3576,SFO,3469,Y,0,763 757 738 AS,439,MMH,7081,LAX,3484,Y,0,DH4 AS,439,MRY,3948,LAX,3484,Y,0,CRJ AS,439,MRY,3948,SAN,3731,Y,0,DH4 AS,439,MSO,4216,PDX,3720,Y,0,DH4 AS,439,MSO,4216,SEA,3577,Y,0,DH4 AS,439,MSP,3858,LAX,3484,Y,0,753 757 AS,439,MSP,3858,SAN,3731,Y,0,738 739 AS,439,MSP,3858,SEA,3577,,0,739 73G 73J AS,439,MSY,3861,ATL,3682,Y,0,M90 757 M88 AS,439,MSY,3861,LAX,3484,Y,0,319 AS,439,MSY,3861,SLC,3536,Y,0,319 320 AS,439,MZT,1826,LAX,3484,,0,739 AS,439,OAK,3453,HNL,3728,,0,73H AS,439,OAK,3453,KOA,3514,,0,73H AS,439,OAK,3453,LIH,3602,,0,73H AS,439,OAK,3453,OGG,3456,,0,73H AS,439,OAK,3453,PDX,3720,Y,0,DH4 AS,439,OAK,3453,SEA,3577,,0,73G 73H 734 AS,439,OGG,3456,LAX,3484,Y,0,757 AS,439,OGG,3456,OAK,3453,,0,73H AS,439,OGG,3456,PDX,3720,,0,73H AS,439,OGG,3456,SAN,3731,,0,73H AS,439,OGG,3456,SEA,3577,,0,73H AS,439,OGG,3456,SJC,3748,,0,73H AS,439,OGG,3456,SMF,3817,,0,73H AS,439,OKC,3863,LAX,3484,Y,0,CR7 AS,439,OMA,3454,SEA,3577,Y,0,CR7 AS,439,OME,3615,ANC,3774,,0,73Q 734 AS,439,OME,3615,OTZ,3693,,0,734 AS,439,ONT,3734,PDX,3720,Y,0,CR7 AS,439,ONT,3734,SEA,3577,,0,734 73H AS,439,ORD,3830,ANC,3774,,0,73H AS,439,ORD,3830,LAX,3484,Y,0,738 AS,439,ORD,3830,MSY,3861,Y,0,E75 AS,439,ORD,3830,PDX,3720,,0,73G AS,439,ORD,3830,SAN,3731,Y,0,738 AS,439,ORD,3830,SEA,3577,,0,73H 739 73J AS,439,ORD,3830,SFO,3469,Y,0,738 AS,439,ORF,3611,ATL,3682,Y,0,M90 M88 319 AS,439,OTZ,3693,ANC,3774,,0,73Q 734 AS,439,OTZ,3693,OME,3615,,0,73Q 734 AS,439,PBG,3771,BOS,3448,Y,0,SF3 AS,439,PBI,3722,ATL,3682,Y,0,M90 757 M88 AS,439,PDX,3720,ANC,3774,,0,73H 734 73J 73G AS,439,PDX,3720,ATL,3682,,0,73J AS,439,PDX,3720,BIL,4021,Y,0,DH4 AS,439,PDX,3720,BLI,3777,Y,0,DH4 AS,439,PDX,3720,BOI,3495,Y,0,DH4 CR7 AS,439,PDX,3720,BOS,3448,,0,73H AS,439,PDX,3720,BUR,3644,Y,0,CR7 AS,439,PDX,3720,DCA,3520,,0,73H AS,439,PDX,3720,DFW,3670,,0,73J AS,439,PDX,3720,DTW,3645,Y,0,739 AS,439,PDX,3720,EUG,4099,Y,0,DH4 AS,439,PDX,3720,FAT,3687,Y,0,DH4 AS,439,PDX,3720,GEG,3467,Y,0,DH4 AS,439,PDX,3720,HNL,3728,,0,73H AS,439,PDX,3720,LAS,3877,,0,73H 73G AS,439,PDX,3720,LAX,3484,,0,734 73H 73G 739 73J AS,439,PDX,3720,LGB,3582,Y,0,CR7 AS,439,PDX,3720,MFR,4101,Y,0,DH4 AS,439,PDX,3720,MSO,4216,Y,0,DH4 AS,439,PDX,3720,OAK,3453,Y,0,DH4 AS,439,PDX,3720,OGG,3456,,0,73H AS,439,PDX,3720,ONT,3734,Y,0,CR7 AS,439,PDX,3720,ORD,3830,,0,73G AS,439,PDX,3720,PHX,3462,,0,734 73G 73H AS,439,PDX,3720,PSC,6133,Y,0,DH4 AS,439,PDX,3720,PSP,3839,,0,734 73J AS,439,PDX,3720,RDM,4103,Y,0,DH4 AS,439,PDX,3720,RNO,3807,Y,0,DH4 AS,439,PDX,3720,SAN,3731,,0,73G 73H 734 73J 739 AS,439,PDX,3720,SBA,3949,Y,0,CR7 AS,439,PDX,3720,SEA,3577,Y,0,DH4 CR7 AS,439,PDX,3720,SFO,3469,,0,734 73G AS,439,PDX,3720,SJC,3748,,0,734 73G 73H AS,439,PDX,3720,SLC,3536,Y,0,757 320 73H AS,439,PDX,3720,SMF,3817,Y,0,DH4 AS,439,PDX,3720,SNA,3867,,0,73G AS,439,PDX,3720,STS,6992,Y,0,DH4 AS,439,PDX,3720,TUS,3636,Y,0,CR7 AS,439,PDX,3720,YVR,156,Y,0,DH4 AS,439,PHL,3752,SEA,3577,,0,73J 73H AS,439,PHX,3462,LAX,3484,Y,0,CRJ AS,439,PHX,3462,PDX,3720,,0,734 73G 73H AS,439,PHX,3462,SEA,3577,,0,73H 73J 73G 734 AS,439,PIT,3570,LAX,3484,Y,0,738 AS,439,PNS,3564,ATL,3682,Y,0,M90 717 AS,439,PQI,3528,BOS,3448,,0,SF3 AS,439,PSC,6133,PDX,3720,Y,0,DH4 AS,439,PSC,6133,SEA,3577,Y,0,DH4 AS,439,PSG,4147,JNU,3492,,0,73Q AS,439,PSG,4147,WRG,5969,,0,73Q AS,439,PSP,3839,PDX,3720,,0,73G AS,439,PSP,3839,SEA,3577,,0,73H 734 73J AS,439,PSP,3839,SFO,3469,,0,734 AS,439,PSP,3839,SMF,3817,Y,0,DH4 AS,439,PUW,3944,LWS,3945,Y,0,DH4 AS,439,PUW,3944,SEA,3577,Y,0,DH4 AS,439,PVR,1836,LAX,3484,,0,739 73H AS,439,PVR,1836,SAN,3731,,0,73J AS,439,PVR,1836,SFO,3469,,0,73J 739 AS,439,RDM,4103,PDX,3720,Y,0,DH4 AS,439,RDM,4103,SEA,3577,Y,0,DH4 AS,439,RDU,3626,ATL,3682,Y,0,752 M90 M88 320 738 739 AS,439,RDU,3626,LAX,3484,Y,0,738 AS,439,RNO,3807,LAX,3484,Y,0,CRJ AS,439,RNO,3807,PDX,3720,Y,0,DH4 AS,439,RNO,3807,SEA,3577,Y,0,DH4 AS,439,RNO,3807,SJC,3748,Y,0,DH4 AS,439,RSW,3793,ATL,3682,Y,0,M90 757 M88 AS,439,SAF,3784,LAX,3484,Y,0,CRJ AS,439,SAN,3731,ATL,3682,Y,0,73H 763 739 AS,439,SAN,3731,BOI,3495,Y,0,CR7 AS,439,SAN,3731,BOS,3448,,0,73H AS,439,SAN,3731,DFW,3670,Y,0,M83 M80 738 757 AS,439,SAN,3731,DTW,3645,Y,0,753 757 AS,439,SAN,3731,FAT,3687,Y,0,DH4 AS,439,SAN,3731,HNL,3728,,0,73H AS,439,SAN,3731,JFK,3797,Y,0,73H 757 AS,439,SAN,3731,LAX,3484,Y,0,CRJ CR7 AS,439,SAN,3731,LIH,3602,,0,73H AS,439,SAN,3731,MCO,3878,,0,73H AS,439,SAN,3731,MRY,3948,Y,0,DH4 AS,439,SAN,3731,MSP,3858,Y,0,320 738 739 AS,439,SAN,3731,OGG,3456,,0,73H AS,439,SAN,3731,ORD,3830,Y,0,738 AS,439,SAN,3731,PDX,3720,,0,73J 73H 734 73G AS,439,SAN,3731,PVR,1836,,0,73J AS,439,SAN,3731,SEA,3577,,0,73J 73H 73G 734 739 AS,439,SAN,3731,SJD,1840,,0,73H AS,439,SAN,3731,SLC,3536,Y,0,738 319 320 AS,439,SAN,3731,STS,6992,Y,0,DH4 AS,439,SAT,3621,SEA,3577,,0,73H 73J AS,439,SAV,3613,ATL,3682,Y,0,M88 717 319 AS,439,SBA,3949,PDX,3720,Y,0,CR7 AS,439,SBA,3949,SEA,3577,Y,0,CR7 AS,439,SCC,3620,ANC,3774,,0,73Q AS,439,SCC,3620,BRW,3571,,0,73H 73Q AS,439,SDP,6742,ANC,3774,Y,0,SF3 AS,439,SEA,3577,ALW,5719,Y,0,DH4 AS,439,SEA,3577,ANC,3774,,0,73J 73H 734 739 73Q 73G AS,439,SEA,3577,ATL,3682,,0,73J 73H AS,439,SEA,3577,AUS,3673,,0,739 73H AS,439,SEA,3577,BIL,4021,Y,0,DH4 AS,439,SEA,3577,BLI,3777,Y,0,DH4 AS,439,SEA,3577,BOI,3495,Y,0,DH4 AS,439,SEA,3577,BOS,3448,,0,73H 73J AS,439,SEA,3577,BUR,3644,,0,73H 73G AS,439,SEA,3577,BZN,4020,Y,0,DH4 AS,439,SEA,3577,COS,3819,,0,CR7 AS,439,SEA,3577,DCA,3520,,0,73H AS,439,SEA,3577,DEN,3751,,0,73G 73H 739 AS,439,SEA,3577,DFW,3670,,0,73J 739 AS,439,SEA,3577,EAT,6916,Y,0,DH4 AS,439,SEA,3577,EUG,4099,Y,0,DH4 AS,439,SEA,3577,EWR,3494,,0,73J AS,439,SEA,3577,FAI,3832,,0,73G 73J 739 73H AS,439,SEA,3577,FAT,3687,,0,CR7 AS,439,SEA,3577,FCA,4127,Y,0,DH4 AS,439,SEA,3577,FLL,3533,,0,73H AS,439,SEA,3577,GEG,3467,,0,734 AS,439,SEA,3577,GTF,3880,Y,0,DH4 AS,439,SEA,3577,HNL,3728,,0,73H AS,439,SEA,3577,IAH,3550,,0,73J AS,439,SEA,3577,JFK,3797,Y,0,738 AS,439,SEA,3577,JNU,3492,,0,73Q 734 73H AS,439,SEA,3577,KOA,3514,,0,73H AS,439,SEA,3577,KTN,3808,,0,73Q 734 AS,439,SEA,3577,LAS,3877,,0,73H 739 73G 73J AS,439,SEA,3577,LAX,3484,,0,73J 739 73G 734 73H AS,439,SEA,3577,LGB,3582,Y,0,CR7 AS,439,SEA,3577,LIH,3602,,0,73H AS,439,SEA,3577,LWS,3945,Y,0,DH4 AS,439,SEA,3577,MCI,3458,,0,73J AS,439,SEA,3577,MCO,3878,,0,73H 73J AS,439,SEA,3577,MFR,4101,Y,0,DH4 AS,439,SEA,3577,MSO,4216,Y,0,DH4 AS,439,SEA,3577,MSP,3858,,0,739 73G 73J AS,439,SEA,3577,OAK,3453,,0,73H 73G 734 AS,439,SEA,3577,OGG,3456,,0,73H AS,439,SEA,3577,OMA,3454,Y,0,CR7 AS,439,SEA,3577,ONT,3734,,0,734 73H AS,439,SEA,3577,ORD,3830,,0,739 73J 73H AS,439,SEA,3577,PDX,3720,Y,0,DH4 CR7 AS,439,SEA,3577,PHL,3752,,0,73J 73H AS,439,SEA,3577,PHX,3462,,0,73G 734 73J 73H AS,439,SEA,3577,PSC,6133,Y,0,DH4 AS,439,SEA,3577,PSP,3839,,0,73G 73H AS,439,SEA,3577,PUW,3944,Y,0,DH4 AS,439,SEA,3577,RDM,4103,Y,0,DH4 AS,439,SEA,3577,RNO,3807,Y,0,DH4 AS,439,SEA,3577,SAN,3731,,0,73H 73J 734 739 73G AS,439,SEA,3577,SAT,3621,,0,73H 73J AS,439,SEA,3577,SBA,3949,Y,0,CR7 AS,439,SEA,3577,SFO,3469,,0,73J 734 73G 73H 739 AS,439,SEA,3577,SJC,3748,,0,734 73H 73J 739 AS,439,SEA,3577,SLC,3536,,0,739 734 73H 73G AS,439,SEA,3577,SMF,3817,,0,73H AS,439,SEA,3577,SNA,3867,,0,73G 73H AS,439,SEA,3577,STL,3678,,0,73H 73J AS,439,SEA,3577,STS,6992,Y,0,DH4 AS,439,SEA,3577,TUS,3636,,0,73J AS,439,SEA,3577,YEG,49,Y,0,DH4 AS,439,SEA,3577,YKM,5779,Y,0,DH4 AS,439,SEA,3577,YLW,87,Y,0,DH4 AS,439,SEA,3577,YVR,156,Y,0,DH4 AS,439,SEA,3577,YYC,178,Y,0,DH4 AS,439,SEA,3577,YYJ,184,Y,0,DH4 AS,439,SFO,3469,DFW,3670,Y,0,738 757 763 AS,439,SFO,3469,JFK,3797,Y,0,763 321 AS,439,SFO,3469,LAX,3484,Y,0,738 AS,439,SFO,3469,MIA,3576,Y,0,757 763 738 AS,439,SFO,3469,ORD,3830,Y,0,738 AS,439,SFO,3469,PDX,3720,,0,734 73H 73G AS,439,SFO,3469,PSP,3839,,0,734 AS,439,SFO,3469,PVR,1836,,0,73J 739 AS,439,SFO,3469,SEA,3577,,0,73H 734 73G 73J 739 AS,439,SFO,3469,SJD,1840,,0,734 AS,439,SIT,3856,JNU,3492,,0,734 AS,439,SIT,3856,KTN,3808,,0,734 AS,439,SJC,3748,BOI,3495,Y,0,DH4 AS,439,SJC,3748,GDL,1804,,0,73H AS,439,SJC,3748,HNL,3728,,0,73H AS,439,SJC,3748,KOA,3514,,0,73H AS,439,SJC,3748,LAX,3484,Y,0,CRJ AS,439,SJC,3748,LIH,3602,,0,73H AS,439,SJC,3748,OGG,3456,,0,73H AS,439,SJC,3748,PDX,3720,,0,73H 734 73G AS,439,SJC,3748,RNO,3807,Y,0,DH4 AS,439,SJC,3748,SEA,3577,,0,73H 739 734 73J AS,439,SJC,3748,SJD,1840,,0,734 AS,439,SJD,1840,LAX,3484,,0,73J 734 AS,439,SJD,1840,SAN,3731,,0,73H AS,439,SJD,1840,SFO,3469,,0,734 AS,439,SJD,1840,SJC,3748,,0,734 AS,439,SLC,3536,ATL,3682,Y,0,757 763 738 AS,439,SLC,3536,CVG,3488,Y,0,73H AS,439,SLC,3536,LAX,3484,Y,0,757 AS,439,SLC,3536,MSY,3861,Y,0,319 320 AS,439,SLC,3536,PDX,3720,Y,0,320 73H 757 AS,439,SLC,3536,SAN,3731,Y,0,319 738 320 AS,439,SLC,3536,SEA,3577,,0,739 734 73H 73G AS,439,SMF,3817,BOI,3495,Y,0,DH4 AS,439,SMF,3817,LAX,3484,Y,0,CRJ AS,439,SMF,3817,OGG,3456,,0,73H AS,439,SMF,3817,PDX,3720,Y,0,DH4 AS,439,SMF,3817,PSP,3839,Y,0,DH4 AS,439,SMF,3817,SEA,3577,,0,73H AS,439,SNA,3867,DFW,3670,Y,0,738 AS,439,SNA,3867,PDX,3720,,0,73G 73H AS,439,SNA,3867,SEA,3577,,0,73G 73H AS,439,SNP,3426,ANC,3774,Y,0,SF3 AS,439,STG,3428,ANC,3774,Y,0,SF3 AS,439,STL,3678,LAX,3484,Y,0,M83 AS,439,STL,3678,SEA,3577,,0,73H 73J AS,439,STS,6992,LAX,3484,Y,0,DH4 AS,439,STS,6992,PDX,3720,Y,0,DH4 AS,439,STS,6992,SAN,3731,Y,0,DH4 AS,439,STS,6992,SEA,3577,Y,0,DH4 AS,439,TUS,3636,LAX,3484,Y,0,CRJ AS,439,TUS,3636,PDX,3720,Y,0,CR7 AS,439,TUS,3636,SEA,3577,,0,73J AS,439,TYS,3676,ATL,3682,Y,0,CRJ 717 CR9 CR7 AS,439,UNK,7088,ANC,3774,Y,0,SF3 DH8 AS,439,VDZ,3865,ANC,3774,Y,0,DH8 BE1 AS,439,WRG,5969,KTN,3808,,0,73Q AS,439,WRG,5969,PSG,4147,,0,73Q AS,439,YAK,6803,CDV,3610,,0,73Q AS,439,YAK,6803,JNU,3492,,0,73Q AS,439,YEG,49,SEA,3577,Y,0,DH4 AS,439,YKM,5779,SEA,3577,Y,0,DH4 AS,439,YLW,87,SEA,3577,Y,0,DH4 AS,439,YVR,156,LAX,3484,,0,739 734 73J AS,439,YVR,156,PDX,3720,Y,0,DH4 AS,439,YVR,156,SEA,3577,Y,0,DH4 AS,439,YYC,178,SEA,3577,Y,0,DH4 AS,439,YYJ,184,SEA,3577,Y,0,DH4 AS,439,ZIH,1856,LAX,3484,,0,739 AS,439,ZLO,1858,LAX,3484,,0,73H AT,4248,ABJ,253,CMN,1074,,0,738 73G AT,4248,ACC,248,CMN,1074,,0,738 73G AT,4248,AGA,1064,BRU,302,,0,319 AT,4248,AGA,1064,CMN,1074,,0,73G AT7 738 AT,4248,AGA,1064,EUN,5672,,0,738 AT,4248,AGA,1064,ORY,1386,,0,738 AT,4248,AGA,1064,VIL,5670,,0,738 AT,4248,AGP,1230,CMN,1074,,0,AT7 AT,4248,AHU,1078,CMN,1074,,0,AT7 AT,4248,ALG,210,CMN,1074,,0,763 738 AT,4248,AMS,580,CMN,1074,,0,738 AT,4248,AMS,580,NDR,5673,,0,738 AT,4248,AMS,580,TNG,1080,,0,73G 738 AT,4248,ARN,737,CMN,1074,,0,738 AT,4248,AUH,2179,CMN,1074,Y,0,333 346 332 AT,4248,AUH,2179,SIN,3316,Y,0,332 AT,4248,BCN,1218,CMN,1074,,0,73G 738 AT,4248,BCN,1218,TNG,1080,,0,73G AT,4248,BEY,2177,CMN,1074,,0,738 AT,4248,BGF,888,CMN,1074,,0,738 AT,4248,BJL,1050,CMN,1074,,0,738 AT,4248,BJL,1050,OXB,5665,,0,738 AT,4248,BJL,1050,RAI,5674,,0,738 AT,4248,BKO,1044,CMN,1074,,0,738 AT,4248,BLQ,1538,CMN,1074,,0,738 73G AT,4248,BOD,1264,CMN,1074,,0,738 73G AT,4248,BOD,1264,RAK,1075,,0,738 AT,4248,BRU,302,AGA,1064,,0,319 AT,4248,BRU,302,CMN,1074,,0,738 73G AT,4248,BRU,302,NDR,5673,,0,738 AT,4248,BRU,302,OUD,1070,,0,73G AT,4248,BRU,302,RAK,1075,,0,319 AT,4248,BRU,302,TNG,1080,,0,73G 738 AT,4248,BZV,883,CMN,1074,,0,738 AT,4248,BZV,883,PNR,886,,0,738 AT,4248,CAI,1128,CMN,1074,,0,738 AT,4248,CAI,1128,RUH,2082,,0,738 AT,4248,CKY,4162,CMN,1074,,0,73G 738 AT,4248,CMN,1074,ABJ,253,,0,73G 738 AT,4248,CMN,1074,AGA,1064,,0,73G AT7 738 AT,4248,CMN,1074,AGP,1230,,0,AT7 AT,4248,CMN,1074,ALG,210,,0,763 738 AT,4248,CMN,1074,AMS,580,,0,738 AT,4248,CMN,1074,ARN,737,,0,738 AT,4248,CMN,1074,AUH,2179,Y,0,333 346 332 AT,4248,CMN,1074,BCN,1218,,0,73G 738 AT,4248,CMN,1074,BEY,2177,,0,738 AT,4248,CMN,1074,BJL,1050,,0,738 AT,4248,CMN,1074,BKO,1044,,0,738 AT,4248,CMN,1074,BLQ,1538,,0,738 73G AT,4248,CMN,1074,BOD,1264,,0,738 73G AT,4248,CMN,1074,BRU,302,,0,738 73G AT,4248,CMN,1074,BZV,883,,0,738 AT,4248,CMN,1074,CAI,1128,,0,738 AT,4248,CMN,1074,CKY,4162,,0,73G 738 AT,4248,CMN,1074,COO,245,,0,738 AT,4248,CMN,1074,DKR,1084,,0,738 AT,4248,CMN,1074,DLA,897,,0,738 AT,4248,CMN,1074,EUN,5672,,0,738 AT,4248,CMN,1074,FCO,1555,,0,738 73G AT,4248,CMN,1074,FEZ,1066,,0,AT7 738 AT,4248,CMN,1074,FIH,1020,,0,738 AT,4248,CMN,1074,FNA,1059,,0,73G AT,4248,CMN,1074,FRA,340,,0,73G 738 AT,4248,CMN,1074,GLN,9823,,0,AT7 AT,4248,CMN,1074,GRU,2564,,0,763 AT,4248,CMN,1074,GVA,1665,,0,738 AT,4248,CMN,1074,IST,1701,,0,738 AT,4248,CMN,1074,JED,2072,,0,763 738 AT,4248,CMN,1074,JFK,3797,,0,763 AT,4248,CMN,1074,LAD,951,,0,763 AT,4248,CMN,1074,LBV,970,,0,738 AT,4248,CMN,1074,LFW,298,,0,738 73G AT,4248,CMN,1074,LGW,502,,0,738 AT,4248,CMN,1074,LHR,507,,0,738 AT,4248,CMN,1074,LIS,1638,,0,738 AT7 AT,4248,CMN,1074,LPA,1054,,0,AT7 AT,4248,CMN,1074,LYS,1335,,0,738 AT,4248,CMN,1074,MAD,1229,,0,738 73G AT,4248,CMN,1074,MRS,1353,,0,738 AT,4248,CMN,1074,MUC,346,,0,73G AT,4248,CMN,1074,MXP,1524,,0,738 73G AT,4248,CMN,1074,NCE,1354,,0,738 AT,4248,CMN,1074,NDR,5673,,0,738 AT7 AT,4248,CMN,1074,NIM,280,,0,738 AT,4248,CMN,1074,NKC,1094,,0,738 73G AT,4248,CMN,1074,NSI,4161,,0,738 AT,4248,CMN,1074,NTE,1418,,0,73G 738 AT,4248,CMN,1074,ORY,1386,,0,738 763 AT,4248,CMN,1074,OUA,246,,0,738 73G AT,4248,CMN,1074,OUD,1070,,0,73G AT7 738 AT,4248,CMN,1074,OXB,5665,,0,738 73G AT,4248,CMN,1074,OZZ,1077,,0,AT7 738 AT,4248,CMN,1074,PNR,886,,0,738 AT,4248,CMN,1074,RAI,5674,,0,738 73G AT,4248,CMN,1074,RAK,1075,,0,738 AT7 73G AT,4248,CMN,1074,RBA,1072,,0,AT7 AT,4248,CMN,1074,ROB,1063,,0,738 73G AT,4248,CMN,1074,SSG,891,,0,738 AT,4248,CMN,1074,SVO,2985,,0,738 73G AT,4248,CMN,1074,SXB,1435,,0,73G AT,4248,CMN,1074,TFN,1057,,0,AT7 AT,4248,CMN,1074,TIP,1157,,0,73G 738 AT,4248,CMN,1074,TLS,1273,,0,738 73G AT,4248,CMN,1074,TNG,1080,,0,AT7 738 73G AT,4248,CMN,1074,TRN,1526,,0,73G 738 AT,4248,CMN,1074,TTU,1079,,0,AT7 AT,4248,CMN,1074,TUN,287,,0,738 73G AT,4248,CMN,1074,TXL,351,,0,738 73G AT,4248,CMN,1074,VIL,5670,,0,738 AT,4248,CMN,1074,VLC,1246,,0,AT7 AT,4248,CMN,1074,YUL,146,,0,763 AT,4248,CMN,1074,ZRH,1678,,0,738 73G AT,4248,COO,245,LOS,273,,0,738 AT,4248,CPH,609,CMN,1074,,0,738 73G AT,4248,DKR,1084,CMN,1074,,0,738 AT,4248,DLA,897,BGF,888,,0,738 AT,4248,DLA,897,CMN,1074,,0,738 AT,4248,DLA,897,NSI,4161,,0,738 AT,4248,ESU,5671,ORY,1386,,0,738 AT,4248,EUN,5672,AGA,1064,,0,738 AT,4248,EUN,5672,CMN,1074,,0,738 AT,4248,FCO,1555,CMN,1074,,0,738 73G AT,4248,FEZ,1066,CMN,1074,,0,AT7 738 AT,4248,FEZ,1066,ORY,1386,,0,738 AT,4248,FIH,1020,BZV,883,,0,738 AT,4248,FNA,1059,CMN,1074,,0,738 73G AT,4248,FNA,1059,ROB,1063,,0,73G AT,4248,FRA,340,CMN,1074,,0,73G 738 AT,4248,FRA,340,NDR,5673,,0,738 AT,4248,GLN,9823,TTA,1065,,0,AT7 AT,4248,GRU,2564,CMN,1074,,0,763 AT,4248,GVA,1665,CMN,1074,,0,738 AT,4248,IST,1701,CMN,1074,,0,738 AT,4248,JED,2072,CMN,1074,,0,763 738 AT,4248,JFK,3797,CMN,1074,,0,763 AT,4248,LAD,951,CMN,1074,,0,763 AT,4248,LBV,970,CMN,1074,,0,738 AT,4248,LBV,970,SSG,891,,0,738 AT,4248,LFW,298,ACC,248,,0,738 AT,4248,LGW,502,CMN,1074,,0,738 AT,4248,LGW,502,RAK,1075,,0,738 AT,4248,LHR,507,CMN,1074,,0,738 AT,4248,LHR,507,TNG,1080,,0,73G AT,4248,LIS,1638,CMN,1074,,0,738 AT7 AT,4248,LOS,273,CMN,1074,,0,738 AT,4248,LPA,1054,CMN,1074,,0,AT7 AT,4248,LPA,1054,TFN,1057,,0,AT7 AT,4248,LYS,1335,CMN,1074,,0,738 AT,4248,LYS,1335,RAK,1075,,0,738 AT,4248,MAD,1229,CMN,1074,,0,738 73G AT,4248,MAD,1229,RAK,1075,,0,738 AT,4248,MAD,1229,TNG,1080,,0,AT7 AT,4248,MRS,1353,CMN,1074,,0,738 AT,4248,MRS,1353,RAK,1075,,0,738 AT,4248,MUC,346,CMN,1074,,0,73G AT,4248,MUC,346,RAK,1075,,0,738 AT,4248,MXP,1524,CMN,1074,,0,738 73G AT,4248,MXP,1524,RAK,1075,,0,738 AT,4248,NCE,1354,CMN,1074,,0,738 AT,4248,NCE,1354,RAK,1075,,0,738 AT,4248,NDR,5673,AMS,580,,0,738 AT,4248,NDR,5673,BRU,302,,0,738 AT,4248,NDR,5673,CMN,1074,,0,738 AT7 AT,4248,NDR,5673,FRA,340,,0,738 AT,4248,NIM,280,CMN,1074,,0,738 73G AT,4248,NIM,280,OUA,246,,0,738 AT,4248,NKC,1094,CMN,1074,,0,738 73G AT,4248,NSI,4161,CMN,1074,,0,738 AT,4248,NSI,4161,DLA,897,,0,738 AT,4248,NTE,1418,CMN,1074,,0,73G 738 AT,4248,NTE,1418,RAK,1075,,0,738 AT,4248,ORY,1386,AGA,1064,,0,738 AT,4248,ORY,1386,CMN,1074,,0,738 763 AT,4248,ORY,1386,ESU,5671,,0,738 AT,4248,ORY,1386,FEZ,1066,,0,738 AT,4248,ORY,1386,OUD,1070,,0,738 AT,4248,ORY,1386,OZZ,1077,,0,738 AT,4248,ORY,1386,RAK,1075,,0,738 744 AT,4248,ORY,1386,RBA,1072,,0,738 AT,4248,ORY,1386,TNG,1080,,0,738 73G AT,4248,OUA,246,CMN,1074,,0,738 AT,4248,OUA,246,NIM,280,,0,738 AT,4248,OUD,1070,BRU,302,,0,73G AT,4248,OUD,1070,CMN,1074,,0,73G AT7 738 AT,4248,OUD,1070,ORY,1386,,0,738 AT,4248,OXB,5665,BJL,1050,,0,738 AT,4248,OXB,5665,CMN,1074,,0,738 AT,4248,OXB,5665,RAI,5674,,0,73G AT,4248,OZZ,1077,CMN,1074,,0,738 AT7 AT,4248,OZZ,1077,ORY,1386,,0,738 AT,4248,PNR,886,BZV,883,,0,738 AT,4248,PNR,886,CMN,1074,,0,738 AT,4248,RAI,5674,BJL,1050,,0,738 AT,4248,RAI,5674,CMN,1074,,0,73G 738 AT,4248,RAI,5674,OXB,5665,,0,738 AT,4248,RAK,1075,BOD,1264,,0,738 AT,4248,RAK,1075,BRU,302,,0,319 AT,4248,RAK,1075,CMN,1074,,0,738 AT7 73G AT,4248,RAK,1075,LGW,502,,0,738 AT,4248,RAK,1075,LYS,1335,,0,738 AT,4248,RAK,1075,MAD,1229,,0,738 AT,4248,RAK,1075,MRS,1353,,0,738 AT,4248,RAK,1075,MUC,346,,0,738 AT,4248,RAK,1075,MXP,1524,,0,738 AT,4248,RAK,1075,NCE,1354,,0,738 AT,4248,RAK,1075,NTE,1418,,0,738 AT,4248,RAK,1075,ORY,1386,,0,738 744 AT,4248,RAK,1075,TLS,1273,,0,738 AT,4248,RBA,1072,CMN,1074,,0,AT7 AT,4248,RBA,1072,ORY,1386,,0,738 AT,4248,ROB,1063,CMN,1074,,0,73G AT,4248,ROB,1063,FNA,1059,,0,738 73G AT,4248,RUH,2082,CAI,1128,,0,738 AT,4248,SIN,3316,AUH,2179,Y,0,332 AT,4248,SSG,891,CMN,1074,,0,738 AT,4248,SSG,891,LBV,970,,0,738 AT,4248,SVO,2985,CMN,1074,,0,738 73G AT,4248,SXB,1435,CMN,1074,,0,73G AT,4248,TFN,1057,CMN,1074,,0,AT7 AT,4248,TIP,1157,CMN,1074,,0,73G 738 AT,4248,TLS,1273,CMN,1074,,0,738 73G AT,4248,TLS,1273,RAK,1075,,0,738 AT,4248,TNG,1080,AMS,580,,0,73G 738 AT,4248,TNG,1080,BCN,1218,,0,73G AT,4248,TNG,1080,BRU,302,,0,73G 738 AT,4248,TNG,1080,CMN,1074,,0,AT7 738 73G AT,4248,TNG,1080,LHR,507,,0,73G AT,4248,TNG,1080,MAD,1229,,0,AT7 AT,4248,TNG,1080,ORY,1386,,0,73G 738 AT,4248,TRN,1526,CMN,1074,,0,73G 738 AT,4248,TTA,1065,CMN,1074,,0,AT7 AT,4248,TTU,1079,AHU,1078,,0,AT7 AT,4248,TUN,287,CMN,1074,,0,738 73G AT,4248,TXL,351,CPH,609,,0,738 AT,4248,VIL,5670,AGA,1064,,0,738 AT,4248,VIL,5670,CMN,1074,,0,738 AT,4248,VLC,1246,CMN,1074,,0,AT7 AT,4248,YUL,146,CMN,1074,,0,763 AT,4248,ZRH,1678,CMN,1074,,0,738 73G AV,515,ADZ,2749,BOG,2709,,0,320 AV,515,ANF,2651,LIM,2789,Y,0,319 AV,515,ANF,2651,SCL,2650,Y,0,319 AV,515,APO,2726,EOH,2729,Y,0,AT5 AT7 AV,515,ASU,2699,LIM,2789,,0,E90 AV,515,AUA,2895,BOG,2709,,0,320 319 AV,515,AUC,2752,BOG,2709,Y,0,AT5 ER4 AV,515,AXM,2705,BOG,2709,,0,AT7 320 318 319 AV,515,BAQ,2710,BOG,2709,,0,319 318 320 AV,515,BAQ,2710,CLO,2715,,0,320 318 AV,515,BAQ,2710,MDE,2745,,0,318 319 320 AV,515,BAQ,2710,MIA,3576,,0,318 320 AV,515,BCN,1218,BOG,2709,,0,330 AV,515,BGA,2708,BOG,2709,,0,320 319 AT7 318 AV,515,BGA,2708,MDE,2745,,0,320 AV,515,BOG,2709,ADZ,2749,,0,320 AV,515,BOG,2709,AUA,2895,,0,320 319 AV,515,BOG,2709,AUC,2752,Y,0,AT5 ER4 AV,515,BOG,2709,AXM,2705,,0,AT7 320 318 319 AV,515,BOG,2709,BAQ,2710,,0,320 318 319 AV,515,BOG,2709,BCN,1218,,0,330 AV,515,BOG,2709,BGA,2708,,0,320 319 AT7 318 AV,515,BOG,2709,BUN,2712,Y,0,AT5 AV,515,BOG,2709,CCS,2851,,0,320 330 AV,515,BOG,2709,CLO,2715,,0,320 319 AT7 318 330 AV,515,BOG,2709,CTG,2714,,0,318 320 319 AV,515,BOG,2709,CUC,2713,,0,320 319 318 AV,515,BOG,2709,CUN,1852,,0,319 320 AV,515,BOG,2709,CUR,2897,,0,319 318 320 AV,515,BOG,2709,CZU,2717,Y,0,AT5 AV,515,BOG,2709,EJA,2718,,0,320 AT7 318 319 AV,515,BOG,2709,EWR,3494,,0,73G AV,515,BOG,2709,EYP,6055,,0,AT7 AV,515,BOG,2709,EZE,3988,,0,330 AV,515,BOG,2709,FLA,2719,,0,AT7 AV,515,BOG,2709,FLL,3533,,0,320 AV,515,BOG,2709,FRA,340,Y,0,346 AV,515,BOG,2709,GIG,2560,,0,319 AV,515,BOG,2709,GRU,2564,,0,319 330 AV,515,BOG,2709,GUA,1767,,0,318 AV,515,BOG,2709,GYE,2673,Y,0,319 AV,515,BOG,2709,HAV,1909,,0,318 319 AV,515,BOG,2709,IAD,3714,,0,319 AV,515,BOG,2709,IAH,3550,,0,752 73G AV,515,BOG,2709,IBE,2724,,0,AT7 AV,515,BOG,2709,JFK,3797,,0,319 330 AV,515,BOG,2709,LET,2728,,0,320 E90 318 AV,515,BOG,2709,LIM,2789,,0,320 330 AV,515,BOG,2709,LPB,2762,,0,319 AV,515,BOG,2709,MAD,1229,,0,330 AV,515,BOG,2709,MCO,3878,,0,319 AV,515,BOG,2709,MDE,2745,,0,320 319 318 AV,515,BOG,2709,MEX,1824,,0,330 320 737 AV,515,BOG,2709,MIA,3576,,0,330 319 AV,515,BOG,2709,MTR,2731,,0,318 320 319 AV,515,BOG,2709,MZL,2733,,0,AT7 AV,515,BOG,2709,NVA,2734,,0,318 AT7 AV,515,BOG,2709,PCR,2738,Y,0,ER4 AV,515,BOG,2709,PDA,6054,Y,0,ER4 AV,515,BOG,2709,PEI,2739,,0,320 318 AT7 319 AV,515,BOG,2709,PPN,2741,,0,AT7 318 AV,515,BOG,2709,PSO,2742,,0,318 AV,515,BOG,2709,PTY,1871,,0,319 330 73G 320 AV,515,BOG,2709,PUJ,1760,,0,320 319 AV,515,BOG,2709,RCH,2746,,0,320 318 319 AV,515,BOG,2709,SAL,1892,,0,320 E90 319 AV,515,BOG,2709,SCL,2650,,0,330 AV,515,BOG,2709,SDQ,1762,,0,319 AV,515,BOG,2709,SJE,2747,Y,0,AT5 AV,515,BOG,2709,SJO,1885,,0,319 AV,515,BOG,2709,SJU,2890,,0,319 AV,515,BOG,2709,SMR,2748,,0,320 318 319 AV,515,BOG,2709,UIB,2753,Y,0,AT5 AV,515,BOG,2709,UIO,2688,Y,0,320 319 AV,515,BOG,2709,VUP,2755,,0,320 318 319 AV,515,BOG,2709,VVC,2756,Y,0,AT5 AV,515,BOG,2709,YYZ,193,Y,0,763 AV,515,BUN,2712,BOG,2709,Y,0,AT5 AV,515,BZE,1957,SAL,1892,,0,E90 AV,515,CCS,2851,BOG,2709,,0,320 330 AV,515,CCS,2851,LIM,2789,,0,E90 AV,515,CLO,2715,BAQ,2710,,0,318 320 AV,515,CLO,2715,BOG,2709,,0,318 320 319 AT7 330 AV,515,CLO,2715,CTG,2714,,0,318 320 AV,515,CLO,2715,GPI,2722,Y,0,AT5 AV,515,CLO,2715,GYE,2673,Y,0,319 AV,515,CLO,2715,LIM,2789,,0,E90 AV,515,CLO,2715,MAD,1229,,0,330 AV,515,CLO,2715,MDE,2745,,0,320 319 AT7 318 AV,515,CLO,2715,MIA,3576,,0,319 318 320 AV,515,CLO,2715,PSO,2742,,0,AT7 AV,515,CLO,2715,SAL,1892,,0,E90 AV,515,CLO,2715,TCO,2716,,0,AT7 AV,515,CLT,3876,SJO,1885,,0,319 AV,515,CTG,2714,BOG,2709,,0,318 320 319 AV,515,CTG,2714,CLO,2715,,0,318 320 AV,515,CTG,2714,MDE,2745,,0,320 318 AV,515,CTG,2714,MIA,3576,,0,318 320 AV,515,CUC,2713,BOG,2709,,0,320 319 318 AV,515,CUC,2713,MDE,2745,,0,318 AV,515,CUN,1852,BOG,2709,,0,319 320 AV,515,CUN,1852,SAL,1892,,0,321 320 E90 AV,515,CUR,2897,BOG,2709,,0,319 318 320 AV,515,CZU,2717,BOG,2709,Y,0,AT5 AV,515,DFW,3670,SAL,1892,,0,E90 AV,515,EJA,2718,BOG,2709,,0,320 AT7 318 319 AV,515,EOH,2729,APO,2726,Y,0,AT5 AT7 AV,515,EOH,2729,UIB,2753,Y,0,AT7 AT5 AV,515,EWR,3494,BOG,2709,,0,73G AV,515,EWR,3494,SAL,1892,,0,320 738 AV,515,EYP,6055,BOG,2709,,0,AT7 AV,515,EZE,3988,BOG,2709,,0,330 AV,515,EZE,3988,LIM,2789,,0,330 321 AV,515,FLA,2719,BOG,2709,,0,AT7 AV,515,FLL,3533,BOG,2709,,0,320 AV,515,FRA,340,BOG,2709,Y,0,346 AV,515,GIG,2560,BOG,2709,,0,319 AV,515,GIG,2560,LIM,2789,Y,0,320 AV,515,GPI,2722,CLO,2715,Y,0,AT5 AV,515,GRU,2564,BOG,2709,,0,319 330 AV,515,GRU,2564,LIM,2789,Y,0,321 AV,515,GUA,1767,BOG,2709,,0,318 AV,515,GUA,1767,LAX,3484,,0,320 AV,515,GUA,1767,MIA,3576,,0,E90 AV,515,GUA,1767,SAL,1892,,0,E90 319 320 321 AV,515,GUA,1767,SAP,1772,,0,ATR AV,515,GUA,1767,SJO,1885,,0,320 AV,515,GUA,1767,TGU,1776,,0,ATR AV,515,GYE,2673,BOG,2709,Y,0,319 AV,515,GYE,2673,CLO,2715,Y,0,319 AV,515,GYE,2673,LIM,2789,,0,320 319 AV,515,GYE,2673,SAL,1892,,0,E90 AV,515,HAV,1909,BOG,2709,,0,318 319 AV,515,IAD,3714,BOG,2709,,0,319 AV,515,IAD,3714,SAL,1892,,0,319 321 320 AV,515,IAH,3550,BOG,2709,,0,752 73G AV,515,IAH,3550,SAL,1892,,0,738 E90 AV,515,IBE,2724,BOG,2709,,0,AT7 AV,515,JFK,3797,BOG,2709,,0,319 330 AV,515,JFK,3797,MDE,2745,,0,319 AV,515,JFK,3797,SAL,1892,,0,320 321 AV,515,JFK,3797,SAP,1772,,0,320 AV,515,LAX,3484,GUA,1767,,0,320 AV,515,LAX,3484,SAL,1892,,0,320 321 319 AV,515,LET,2728,BOG,2709,,0,320 E90 318 AV,515,LIM,2789,ANF,2651,Y,0,319 AV,515,LIM,2789,ASU,2699,,0,E90 AV,515,LIM,2789,BOG,2709,,0,320 330 AV,515,LIM,2789,CCS,2851,,0,E90 AV,515,LIM,2789,CLO,2715,,0,E90 AV,515,LIM,2789,EZE,3988,,0,321 330 AV,515,LIM,2789,GIG,2560,Y,0,320 AV,515,LIM,2789,GRU,2564,Y,0,321 AV,515,LIM,2789,GYE,2673,,0,320 319 AV,515,LIM,2789,LPB,2762,,0,320 AV,515,LIM,2789,MDE,2745,,0,319 AV,515,LIM,2789,MEX,1824,,0,319 320 AV,515,LIM,2789,MIA,3576,,0,330 AV,515,LIM,2789,MVD,2816,,0,320 AV,515,LIM,2789,POA,2599,Y,0,319 320 AV,515,LIM,2789,SAL,1892,,0,319 321 E90 320 AV,515,LIM,2789,SCL,2650,,0,319 321 AV,515,LIM,2789,SDQ,1762,,0,320 319 AV,515,LIM,2789,SJO,1885,,0,320 AV,515,LIM,2789,UIO,2688,,0,320 AV,515,LIM,2789,VVI,2771,,0,319 AV,515,LIR,1881,SAL,1892,,0,ATR AV,515,LPB,2762,BOG,2709,,0,319 AV,515,LPB,2762,LIM,2789,,0,320 AV,515,MAD,1229,BOG,2709,,0,330 AV,515,MAD,1229,CLO,2715,,0,330 AV,515,MAD,1229,MDE,2745,,0,330 AV,515,MCO,3878,BOG,2709,,0,319 AV,515,MCO,3878,SAL,1892,,0,E90 AV,515,MDE,2745,BAQ,2710,,0,319 318 320 AV,515,MDE,2745,BGA,2708,,0,320 AV,515,MDE,2745,BOG,2709,,0,318 319 320 AV,515,MDE,2745,CLO,2715,,0,319 318 AT7 320 AV,515,MDE,2745,CTG,2714,,0,320 318 AV,515,MDE,2745,CUC,2713,,0,318 AV,515,MDE,2745,JFK,3797,,0,319 AV,515,MDE,2745,LIM,2789,,0,319 AV,515,MDE,2745,MAD,1229,,0,330 AV,515,MDE,2745,MIA,3576,,0,319 320 AV,515,MDE,2745,SAL,1892,,0,E90 AV,515,MDE,2745,SMR,2748,,0,318 320 AV,515,MEX,1824,BOG,2709,,0,320 737 330 AV,515,MEX,1824,LIM,2789,,0,319 320 AV,515,MEX,1824,SAL,1892,,0,319 320 AV,515,MEX,1824,SJO,1885,,0,319 AV,515,MEX,1824,YYZ,193,,0,319 AV,515,MIA,3576,BAQ,2710,,0,318 320 AV,515,MIA,3576,BOG,2709,,0,319 330 AV,515,MIA,3576,CLO,2715,,0,319 318 320 AV,515,MIA,3576,CTG,2714,,0,318 320 AV,515,MIA,3576,GUA,1767,,0,E90 AV,515,MIA,3576,LIM,2789,,0,330 AV,515,MIA,3576,MDE,2745,,0,319 320 AV,515,MIA,3576,SAL,1892,,0,320 319 E90 AV,515,MIA,3576,SAP,1772,,0,320 E90 319 AV,515,MTR,2731,BOG,2709,,0,318 320 319 AV,515,MVD,2816,LIM,2789,,0,320 AV,515,MVP,2732,VVC,2756,Y,0,AT5 AV,515,MZL,2733,BOG,2709,,0,AT7 AV,515,NVA,2734,BOG,2709,,0,318 AT7 AV,515,ORD,3830,SAL,1892,,0,319 AV,515,PCR,2738,BOG,2709,Y,0,ER4 AV,515,PDA,6054,BOG,2709,Y,0,ER4 AV,515,PEI,2739,BOG,2709,,0,320 318 AT7 319 AV,515,POA,2599,LIM,2789,,0,319 320 AV,515,PPN,2741,BOG,2709,,0,AT7 318 AV,515,PSO,2742,BOG,2709,,0,318 AV,515,PSO,2742,CLO,2715,,0,AT7 AV,515,PTY,1871,BOG,2709,,0,319 73G 330 320 AV,515,PTY,1871,SAL,1892,,0,E90 AV,515,PTY,1871,SJO,1885,,0,E90 319 AV,515,PUJ,1760,BOG,2709,,0,320 319 AV,515,RCH,2746,BOG,2709,,0,320 318 319 AV,515,RTB,1774,SAL,1892,,0,ATR AV,515,SAL,1892,BOG,2709,,0,E90 320 319 AV,515,SAL,1892,BZE,1957,,0,E90 AV,515,SAL,1892,CLO,2715,,0,E90 AV,515,SAL,1892,CUN,1852,,0,321 320 E90 AV,515,SAL,1892,DFW,3670,,0,E90 AV,515,SAL,1892,EWR,3494,,0,320 738 AV,515,SAL,1892,GUA,1767,,0,E90 319 320 321 AV,515,SAL,1892,GYE,2673,,0,E90 AV,515,SAL,1892,IAD,3714,,0,321 319 320 AV,515,SAL,1892,IAH,3550,,0,738 E90 AV,515,SAL,1892,JFK,3797,,0,320 321 AV,515,SAL,1892,LAX,3484,,0,320 319 321 AV,515,SAL,1892,LIM,2789,,0,321 E90 319 320 AV,515,SAL,1892,LIR,1881,,0,ATR AV,515,SAL,1892,MCO,3878,,0,E90 AV,515,SAL,1892,MDE,2745,,0,E90 AV,515,SAL,1892,MEX,1824,,0,319 320 AV,515,SAL,1892,MIA,3576,,0,320 319 E90 AV,515,SAL,1892,ORD,3830,,0,319 AV,515,SAL,1892,PTY,1871,,0,E90 AV,515,SAL,1892,RTB,1774,,0,ATR AV,515,SAL,1892,SAP,1772,,0,320 ATR E90 319 AV,515,SAL,1892,SFO,3469,,0,319 320 AV,515,SAL,1892,SJO,1885,,0,320 E90 321 319 AV,515,SAL,1892,TGU,1776,,0,E90 ATR AV,515,SAL,1892,UIO,2688,,0,320 319 AV,515,SAL,1892,YYZ,193,,0,320 AV,515,SAP,1772,GUA,1767,,0,ATR AV,515,SAP,1772,JFK,3797,,0,320 AV,515,SAP,1772,MIA,3576,,0,320 E90 319 AV,515,SAP,1772,SAL,1892,,0,E90 ATR 320 319 AV,515,SAP,1772,SJO,1885,,0,ATR AV,515,SCL,2650,ANF,2651,Y,0,319 AV,515,SCL,2650,BOG,2709,,0,330 AV,515,SCL,2650,LIM,2789,,0,321 319 AV,515,SDQ,1762,BOG,2709,,0,319 AV,515,SDQ,1762,LIM,2789,,0,320 319 AV,515,SFO,3469,SAL,1892,,0,319 320 AV,515,SJE,2747,BOG,2709,Y,0,AT5 AV,515,SJO,1885,BOG,2709,,0,319 AV,515,SJO,1885,CLT,3876,,0,319 AV,515,SJO,1885,GUA,1767,,0,320 AV,515,SJO,1885,LIM,2789,,0,320 AV,515,SJO,1885,MEX,1824,,0,319 AV,515,SJO,1885,PTY,1871,,0,319 E90 AV,515,SJO,1885,SAL,1892,,0,E90 320 321 319 AV,515,SJO,1885,SAP,1772,,0,ATR AV,515,SJO,1885,TGU,1776,,0,ATR AV,515,SJU,2890,BOG,2709,,0,319 AV,515,SMR,2748,BOG,2709,,0,320 318 319 AV,515,SMR,2748,MDE,2745,,0,318 320 AV,515,TCO,2716,CLO,2715,,0,AT7 AV,515,TGU,1776,GUA,1767,,0,ATR AV,515,TGU,1776,SAL,1892,,0,ATR E90 AV,515,TGU,1776,SJO,1885,,0,ATR AV,515,UIB,2753,BOG,2709,Y,0,AT5 AV,515,UIB,2753,EOH,2729,Y,0,AT7 AT5 AV,515,UIO,2688,BOG,2709,Y,0,320 319 AV,515,UIO,2688,LIM,2789,,0,320 AV,515,UIO,2688,SAL,1892,,0,319 320 AV,515,VUP,2755,BOG,2709,,0,320 318 319 AV,515,VVC,2756,BOG,2709,Y,0,AT5 AV,515,VVC,2756,MVP,2732,Y,0,AT5 AV,515,VVI,2771,LIM,2789,,0,319 AV,515,YYZ,193,BOG,2709,Y,0,763 AV,515,YYZ,193,MEX,1824,,0,319 AV,515,YYZ,193,SAL,1892,,0,320 AW,16960,ACC,248,KMS,5556,,0,ER4 AW,16960,ACC,248,LOS,273,,0,ER4 AW,16960,ACC,248,TML,249,,0,ER4 AW,16960,KMS,5556,ACC,248,,0,ER4 AW,16960,LOS,273,ACC,248,,0,ER4 AW,16960,TML,249,ACC,248,,0,ER4 AY,2350,AGP,1230,HEL,421,,0,320 32B 321 AY,2350,AMS,580,HEL,421,,0,320 321 AY,2350,AMS,580,LIS,1638,Y,0,320 319 AY,2350,AMS,580,OPO,1636,Y,0,100 ER4 AY,2350,ARN,737,HEL,421,,0,319 320 AY,2350,ARN,737,LHR,507,Y,0,320 321 319 767 AY,2350,ARN,737,TXL,351,Y,0,321 738 320 319 AY,2350,ARN,737,VIE,1613,Y,0,E90 AY,2350,ATL,3682,LHR,507,Y,0,777 AY,2350,AUS,3673,LHR,507,,0,788 AY,2350,AYT,1688,HEL,421,,0,320 AY,2350,BCN,1218,HEL,421,,0,321 AY,2350,BCN,1218,JFK,3797,,0,763 AY,2350,BCN,1218,MIA,3576,,0,763 AY,2350,BKK,3885,HEL,421,,0,343 AY,2350,BMA,738,GOT,687,Y,0,AR8 AR1 AY,2350,BMA,738,HEL,421,Y,0,ATR AT7 AY,2350,BMA,738,MMX,708,Y,0,AR1 AR8 AY,2350,BMA,738,UME,728,Y,0,AR1 AR8 AY,2350,BNE,3320,CNS,3322,Y,0,333 AY,2350,BNE,3320,HKG,3077,,0,333 AY,2350,BOS,3448,LHR,507,,0,777 744 AY,2350,BOS,3448,MAD,1229,,0,333 AY,2350,BRU,302,HEL,421,,0,319 320 343 AY,2350,BRU,302,LIS,1638,Y,0,321 320 319 100 AY,2350,BUD,1489,HEL,421,,0,320 319 AY,2350,BWI,3849,LHR,507,,0,767 AY,2350,CDG,1382,DFW,3670,Y,0,763 777 AY,2350,CDG,1382,HEL,421,,0,321 320 32B 319 AY,2350,CDG,1382,JFK,3797,,0,763 757 AY,2350,CDG,1382,MIA,3576,Y,0,763 AY,2350,CDG,1382,ORD,3830,Y,0,763 AY,2350,CGN,344,TXL,351,Y,0,73G 738 320 319 AY,2350,CKG,3393,HEL,421,,0,333 AY,2350,CNS,3322,BNE,3320,Y,0,333 AY,2350,CNS,3322,HKG,3077,Y,0,333 AY,2350,CPH,609,DUS,345,Y,0,319 320 DH4 738 AY,2350,CPH,609,HEL,421,,0,320 319 321 AY,2350,CPH,609,TXL,351,Y,0,738 319 73G AY,2350,CPH,609,VIE,1613,Y,0,E90 AY,2350,CTA,1509,DUS,345,Y,0,321 738 AY,2350,CTA,1509,MUC,346,Y,0,738 AY,2350,CTA,1509,TXL,351,Y,0,321 320 738 AY,2350,DBV,1200,HEL,421,,0,320 321 AY,2350,DEL,3093,HEL,421,,0,333 AY,2350,DEN,3751,LHR,507,,0,777 AY,2350,DFW,3670,CDG,1382,Y,0,763 777 AY,2350,DFW,3670,FRA,340,Y,0,777 AY,2350,DFW,3670,LHR,507,,0,744 AY,2350,DFW,3670,MAD,1229,,0,777 AY,2350,DME,4029,HEL,421,,0,319 AY,2350,DUB,599,JFK,3797,,0,757 AY,2350,DUB,599,ORD,3830,,0,763 AY,2350,DUS,345,CPH,609,Y,0,319 320 DH4 738 AY,2350,DUS,345,CTA,1509,Y,0,738 AY,2350,DUS,345,FLR,1563,Y,0,DH4 AY,2350,DUS,345,HEL,421,Y,0,E90 AY,2350,DUS,345,ORD,3830,,0,763 AY,2350,DUS,345,SZG,1612,Y,0,DH4 AY,2350,EWR,3494,LHR,507,,0,777 788 AY,2350,FCO,1555,HEL,421,,0,321 32B AY,2350,FCO,1555,JFK,3797,Y,0,763 AY,2350,FCO,1555,ORD,3830,,0,763 AY,2350,FLR,1563,DUS,345,Y,0,DH4 AY,2350,FLR,1563,VIE,1613,Y,0,DH4 AY,2350,FRA,340,DFW,3670,Y,0,777 AY,2350,FRA,340,HEL,421,Y,0,E90 AY,2350,FRA,340,MAD,1229,Y,0,32A AY,2350,GOT,687,BMA,738,Y,0,AR1 AY,2350,GOT,687,HEL,421,,0,319 320 AY,2350,GOT,687,TXL,351,Y,0,73G AY,2350,GVA,1665,HEL,421,Y,0,E90 E70 AY,2350,GVA,1665,LIS,1638,Y,0,319 320 AY,2350,GVA,1665,OPO,1636,Y,0,319 AY,2350,GZP,8266,HEL,421,,0,319 AY,2350,HAM,342,HEL,421,,0,319 AY,2350,HAM,342,SZG,1612,Y,0,320 319 AY,2350,HEL,421,AGP,1230,,0,32B 320 321 AY,2350,HEL,421,AMS,580,,0,320 321 AY,2350,HEL,421,ARN,737,,0,319 320 AY,2350,HEL,421,AYT,1688,,0,320 AY,2350,HEL,421,BCN,1218,,0,321 AY,2350,HEL,421,BKK,3885,,0,343 AY,2350,HEL,421,BMA,738,Y,0,ATR AT7 AY,2350,HEL,421,BRU,302,,0,319 320 343 AY,2350,HEL,421,BUD,1489,,0,320 319 AY,2350,HEL,421,CDG,1382,,0,321 320 32B 319 AY,2350,HEL,421,CKG,3393,,0,333 AY,2350,HEL,421,CPH,609,,0,320 319 321 AY,2350,HEL,421,DBV,1200,,0,320 321 AY,2350,HEL,421,DEL,3093,,0,333 AY,2350,HEL,421,DME,4029,,0,319 AY,2350,HEL,421,DUS,345,Y,0,E90 AY,2350,HEL,421,FCO,1555,,0,321 32B AY,2350,HEL,421,FRA,340,Y,0,E90 AY,2350,HEL,421,GOT,687,,0,319 320 AY,2350,HEL,421,GVA,1665,Y,0,E90 E70 AY,2350,HEL,421,GZP,8266,,0,319 AY,2350,HEL,421,HAM,342,,0,319 AY,2350,HEL,421,HKG,3077,,0,343 AY,2350,HEL,421,ICN,3930,,0,333 AY,2350,HEL,421,IVL,428,,0,319 320 AY,2350,HEL,421,JFK,3797,,0,333 AY,2350,HEL,421,JOE,429,Y,0,AT7 ATR E70 E90 AY,2350,HEL,421,JYV,430,,0,ATR AY,2350,HEL,421,KAJ,433,Y,0,AT7 AY,2350,HEL,421,KAO,437,Y,0,AT7 AY,2350,HEL,421,KEF,16,Y,0,75W AY,2350,HEL,421,KEM,432,Y,0,AT7 AY,2350,HEL,421,KIX,3992,,0,333 AY,2350,HEL,421,KOK,435,Y,0,AT7 AY,2350,HEL,421,KRK,669,,0,319 321 32B AY,2350,HEL,421,KUO,439,,0,319 AY,2350,HEL,421,LED,2948,Y,0,ATR AY,2350,HEL,421,LHR,507,,0,32B 320 321 AY,2350,HEL,421,LIS,1638,Y,0,320 AY,2350,HEL,421,LJU,1569,,0,320 AY,2350,HEL,421,MAD,1229,,0,321 AY,2350,HEL,421,MAN,478,Y,0,E90 AY,2350,HEL,421,MHQ,442,Y,0,AT7 AY,2350,HEL,421,MSQ,2954,Y,0,CR2 733 AY,2350,HEL,421,MUC,346,,0,319 320 AY,2350,HEL,421,MXP,1524,,0,321 320 32B AY,2350,HEL,421,NCE,1354,,0,320 32B AY,2350,HEL,421,NGO,3942,,0,333 AY,2350,HEL,421,NRK,743,Y,0,AT7 AY,2350,HEL,421,NRT,2279,,0,333 788 AY,2350,HEL,421,OSL,644,,0,319 AY,2350,HEL,421,OUL,446,,0,320 319 AY,2350,HEL,421,PEK,3364,,0,333 AY,2350,HEL,421,PRG,1587,,0,319 321 320 AY,2350,HEL,421,PVG,3406,,0,343 AY,2350,HEL,421,RIX,3953,Y,0,AT7 AY,2350,HEL,421,RVN,453,,0,319 320 321 AY,2350,HEL,421,SIN,3316,,0,343 AY,2350,HEL,421,SVL,455,Y,0,AT7 AY,2350,HEL,421,SVO,2985,,0,319 320 AY,2350,HEL,421,SVX,2975,,0,319 AY,2350,HEL,421,TAY,416,Y,0,AT7 AY,2350,HEL,421,TKU,460,Y,0,AT7 ATR AY,2350,HEL,421,TLL,415,Y,0,AT7 ATR AY,2350,HEL,421,TLV,1590,,0,320 AY,2350,HEL,421,TMP,458,Y,0,AT7 ATR AY,2350,HEL,421,TXL,351,,0,319 AY,2350,HEL,421,VAA,462,,0,319 32B AY,2350,HEL,421,VIE,1613,,0,320 319 AY,2350,HEL,421,VNO,3959,Y,0,E90 E70 AT7 AY,2350,HEL,421,WAW,679,Y,0,E70 E90 AY,2350,HEL,421,XIY,3379,,0,333 AY,2350,HEL,421,ZRH,1678,,0,319 320 AY,2350,HKG,3077,BNE,3320,,0,333 AY,2350,HKG,3077,CNS,3322,Y,0,333 AY,2350,HKG,3077,HEL,421,,0,343 AY,2350,HKG,3077,MEL,3339,,0,333 AY,2350,HKG,3077,SYD,3361,Y,0,388 744 AY,2350,IAD,3714,LHR,507,,0,744 777 AY,2350,IAH,3550,LHR,507,,0,744 777 AY,2350,ICN,3930,HEL,421,,0,333 AY,2350,IVL,428,KTT,438,,0,319 320 AY,2350,JFK,3797,BCN,1218,,0,763 AY,2350,JFK,3797,CDG,1382,,0,763 757 AY,2350,JFK,3797,DUB,599,,0,757 AY,2350,JFK,3797,FCO,1555,Y,0,763 AY,2350,JFK,3797,HEL,421,,0,333 AY,2350,JFK,3797,LCY,503,,0,318 AY,2350,JFK,3797,LHR,507,,0,744 77W 777 AY,2350,JFK,3797,MAD,1229,,0,333 757 346 AY,2350,JFK,3797,MAN,478,Y,0,757 AY,2350,JFK,3797,MXP,1524,Y,0,763 AY,2350,JFK,3797,SJU,2890,,0,757 AY,2350,JFK,3797,YUL,146,Y,0,ERD AY,2350,JFK,3797,YYZ,193,Y,0,CR7 AY,2350,JOE,429,HEL,421,Y,0,E70 AT7 ATR E90 AY,2350,JYV,430,HEL,421,Y,0,AT7 AY,2350,JYV,430,KEM,432,,0,ATR AY,2350,KAJ,433,HEL,421,Y,0,AT7 AY,2350,KAO,437,HEL,421,Y,0,AT7 AY,2350,KEF,16,HEL,421,Y,0,75W AY,2350,KEM,432,HEL,421,Y,0,AT7 AY,2350,KIX,3992,HEL,421,,0,333 AY,2350,KOK,435,HEL,421,Y,0,AT7 AY,2350,KRK,669,HEL,421,,0,319 321 32B AY,2350,KTT,438,HEL,421,,0,319 320 AY,2350,KUO,439,HEL,421,,0,319 AY,2350,LAS,3877,LGW,502,,0,777 AY,2350,LAS,3877,LHR,507,,0,744 AY,2350,LAX,3484,LHR,507,,0,744 388 AY,2350,LAX,3484,MAD,1229,,0,346 343 AY,2350,LED,2948,HEL,421,Y,0,ATR AY,2350,LGW,502,LAS,3877,,0,777 AY,2350,LGW,502,MCO,3878,,0,777 AY,2350,LGW,502,TPA,3646,,0,777 AY,2350,LHR,507,ARN,737,Y,0,321 319 767 320 AY,2350,LHR,507,ATL,3682,Y,0,777 AY,2350,LHR,507,AUS,3673,,0,788 AY,2350,LHR,507,BOS,3448,,0,744 777 AY,2350,LHR,507,BWI,3849,,0,767 AY,2350,LHR,507,DEN,3751,,0,777 AY,2350,LHR,507,DFW,3670,,0,77W 744 AY,2350,LHR,507,EWR,3494,,0,777 788 AY,2350,LHR,507,HEL,421,,0,320 32B 321 AY,2350,LHR,507,IAD,3714,,0,744 777 AY,2350,LHR,507,IAH,3550,,0,744 777 AY,2350,LHR,507,JFK,3797,,0,744 77W 777 AY,2350,LHR,507,LAS,3877,,0,744 AY,2350,LHR,507,LAX,3484,,0,744 388 AY,2350,LHR,507,LIS,1638,Y,0,320 AY,2350,LHR,507,MIA,3576,,0,744 777 AY,2350,LHR,507,ORD,3830,,0,763 744 777 AY,2350,LHR,507,PHL,3752,,0,777 767 AY,2350,LHR,507,PHX,3462,,0,744 AY,2350,LHR,507,RDU,3626,Y,0,763 AY,2350,LHR,507,SAN,3731,,0,777 AY,2350,LHR,507,SEA,3577,,0,744 777 AY,2350,LHR,507,SFO,3469,,0,744 AY,2350,LHR,507,YUL,146,Y,0,777 AY,2350,LHR,507,YVR,156,Y,0,744 AY,2350,LHR,507,YYC,178,Y,0,767 AY,2350,LHR,507,YYZ,193,Y,0,788 744 AY,2350,LIS,1638,AMS,580,Y,0,320 319 AY,2350,LIS,1638,BRU,302,Y,0,321 320 100 319 AY,2350,LIS,1638,GVA,1665,Y,0,320 321 AY,2350,LIS,1638,HEL,421,Y,0,320 AY,2350,LIS,1638,LHR,507,Y,0,320 AY,2350,LIS,1638,ZRH,1678,Y,0,321 AY,2350,LJU,1569,HEL,421,,0,320 AY,2350,MAD,1229,BOS,3448,,0,333 AY,2350,MAD,1229,DFW,3670,,0,777 AY,2350,MAD,1229,FRA,340,Y,0,32A AY,2350,MAD,1229,HEL,421,,0,321 AY,2350,MAD,1229,JFK,3797,,0,757 333 346 AY,2350,MAD,1229,LAX,3484,,0,346 343 AY,2350,MAD,1229,MIA,3576,,0,763 333 346 AY,2350,MAD,1229,ORD,3830,,0,333 AY,2350,MAD,1229,VGO,1250,Y,0,32S AY,2350,MAD,1229,VLC,1246,Y,0,CR9 AY,2350,MAN,478,HEL,421,Y,0,E90 AY,2350,MAN,478,JFK,3797,Y,0,757 AY,2350,MAN,478,ORD,3830,Y,0,763 AY,2350,MCO,3878,LGW,502,,0,777 AY,2350,MEL,3339,HKG,3077,,0,333 AY,2350,MHQ,442,HEL,421,Y,0,AT7 AY,2350,MIA,3576,BCN,1218,,0,763 AY,2350,MIA,3576,CDG,1382,Y,0,763 AY,2350,MIA,3576,LHR,507,,0,744 777 AY,2350,MIA,3576,MAD,1229,,0,333 763 346 AY,2350,MIA,3576,MXP,1524,Y,0,763 AY,2350,MMX,708,BMA,738,Y,0,AR8 AR1 AY,2350,MRS,1353,CDG,1382,Y,0,319 AY,2350,MSQ,2954,HEL,421,Y,0,CR2 733 AY,2350,MUC,346,CTA,1509,Y,0,321 320 AY,2350,MUC,346,HEL,421,,0,319 320 AY,2350,MXP,1524,HEL,421,,0,321 320 32B AY,2350,MXP,1524,JFK,3797,Y,0,763 AY,2350,MXP,1524,MIA,3576,Y,0,763 AY,2350,NCE,1354,HEL,421,,0,320 32B AY,2350,NGO,3942,HEL,421,,0,333 AY,2350,NRK,743,HEL,421,Y,0,AT7 AY,2350,NRT,2279,HEL,421,,0,788 333 AY,2350,OPO,1636,ZRH,1678,Y,0,320 319 AY,2350,ORD,3830,CDG,1382,Y,0,763 AY,2350,ORD,3830,DUB,599,,0,763 AY,2350,ORD,3830,DUS,345,,0,763 AY,2350,ORD,3830,FCO,1555,,0,763 AY,2350,ORD,3830,LHR,507,,0,763 777 744 AY,2350,ORD,3830,MAD,1229,,0,333 AY,2350,ORD,3830,MAN,478,Y,0,763 AY,2350,OSL,644,AAL,628,,0,J31 AY,2350,OSL,644,HEL,421,,0,319 AY,2350,OSL,644,TXL,351,Y,0,319 AY,2350,OTP,1657,TXL,351,Y,0,320 73G AY,2350,OUL,446,HEL,421,,0,319 320 AY,2350,PEK,3364,HEL,421,,0,333 AY,2350,PHL,3752,LHR,507,,0,777 767 AY,2350,PHX,3462,LHR,507,,0,744 AY,2350,PNA,1234,MAD,1229,Y,0,CR9 AY,2350,PRG,1587,HEL,421,,0,319 321 320 AY,2350,PVG,3406,HEL,421,,0,343 AY,2350,RDU,3626,LHR,507,Y,0,763 AY,2350,RIX,3953,HEL,421,Y,0,AT7 AY,2350,RVN,453,HEL,421,,0,319 320 321 AY,2350,SAN,3731,LHR,507,,0,777 AY,2350,SEA,3577,LHR,507,,0,744 777 AY,2350,SFO,3469,LHR,507,,0,744 AY,2350,SIN,3316,HEL,421,,0,343 AY,2350,SJU,2890,JFK,3797,Y,0,757 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AZ,596,CDG,1382,NTE,1418,Y,0,321 318 319 320 AZ,596,CDG,1382,NUE,347,Y,0,E70 AZ,596,CDG,1382,OSL,644,Y,0,E90 AZ,596,CDG,1382,PMO,1512,Y,0,320 AZ,596,CDG,1382,PRG,1587,Y,0,321 320 32A AZ,596,CDG,1382,PUF,1274,Y,0,E90 AZ,596,CDG,1382,PUJ,1760,Y,0,744 AZ,596,CDG,1382,RNS,1415,Y,0,AT7 AZ,596,CDG,1382,SCL,2650,Y,0,772 77W AZ,596,CDG,1382,SEA,3577,Y,0,332 AZ,596,CDG,1382,SFO,3469,Y,0,388 AZ,596,CDG,1382,SGN,3205,Y,0,777 AZ,596,CDG,1382,STR,350,Y,0,AR8 AZ,596,CDG,1382,SVG,666,Y,0,E70 AZ,596,CDG,1382,SXM,2899,Y,0,343 AZ,596,CDG,1382,TLS,1273,Y,0,320 319 AZ,596,CDG,1382,TRN,1526,Y,0,E90 AR8 E70 AZ,596,CDG,1382,TXL,351,Y,0,321 320 AZ,596,CDG,1382,VCE,1551,Y,0,318 320 319 32A AZ,596,CDG,1382,VGO,1250,Y,0,E70 AZ,596,CDG,1382,VRN,1550,Y,0,E70 AZ,596,CDG,1382,YUL,146,Y,0,744 343 AZ,596,CDG,1382,YYZ,193,Y,0,772 AZ,596,CFE,1330,CDG,1382,Y,0,E70 E90 AZ,596,CGK,3275,AUH,2179,,0,77W 332 AZ,596,CGN,344,AMS,580,Y,0,F70 AZ,596,CHA,3578,ATL,3682,Y,0,CRJ CR7 AZ,596,CHS,3806,ATL,3682,Y,0,M88 AZ,596,CIY,9327,LIN,1529,,0,E90 AZ,596,CLE,3486,ATL,3682,Y,0,717 AZ,596,CLJ,1652,OTP,1657,Y,0,318 AT7 AT5 AZ,596,CLT,3876,ATL,3682,Y,0,M90 AZ,596,CLY,1322,MRS,1353,,0,AT7 AZ,596,CLY,1322,NCE,1354,Y,0,AT7 AZ,596,CMB,3024,AUH,2179,Y,0,320 AZ,596,CMB,3024,FCO,1555,Y,0,332 343 AZ,596,CMH,3759,ATL,3682,Y,0,M88 319 AZ,596,CMN,1074,FCO,1555,,0,32S 319 320 E90 AZ,596,COK,3136,AUH,2179,,0,320 AZ,596,CPH,609,AMS,580,Y,0,737 AZ,596,CPH,609,CDG,1382,Y,0,318 319 320 AZ,596,CPH,609,FCO,1555,,0,32S 319 AZ,596,CPH,609,VCE,1551,Y,0,320 AZ,596,CPT,797,AMS,580,Y,0,777 AZ,596,CTA,1509,AMS,580,,0,320 AZ,596,CTA,1509,BLQ,1538,,0,320 AZ,596,CTA,1509,CDG,1382,Y,0,320 AZ,596,CTA,1509,DUS,345,,0,320 AZ,596,CTA,1509,FCO,1555,,0,32S 319 321 320 AZ,596,CTA,1509,LGW,502,,0,320 AZ,596,CTA,1509,LIN,1529,,0,319 320 E75 32S E90 AZ,596,CTA,1509,LYS,1335,,0,320 AZ,596,CTA,1509,MXP,1524,Y,0,320 AZ,596,CTA,1509,NAP,1561,Y,0,E75 AZ,596,CTA,1509,PSA,1562,Y,0,320 AZ,596,CTA,1509,STR,350,,0,320 AZ,596,CTA,1509,SVO,2985,,0,320 AZ,596,CTA,1509,TRN,1526,Y,0,320 AZ,596,CTA,1509,TXL,351,,0,320 AZ,596,CTA,1509,VCE,1551,Y,0,320 AZ,596,CTA,1509,VIE,1613,,0,320 AZ,596,CTA,1509,VRN,1550,,0,320 AZ,596,CTU,3395,AUH,2179,,0,332 AZ,596,CUN,1852,ATL,3682,Y,0,757 AZ,596,CVG,3488,ATL,3682,Y,0,M88 CR9 AZ,596,CWL,488,AMS,580,Y,0,F70 AZ,596,DAY,3627,ATL,3682,Y,0,M88 AZ,596,DCA,3520,ATL,3682,Y,0,M88 M90 AZ,596,DEL,3093,AUH,2179,,0,332 320 AZ,596,DEL,3093,FCO,1555,Y,0,333 AZ,596,DEL,3093,TPE,2276,Y,0,333 AZ,596,DEN,3751,ATL,3682,Y,0,757 AZ,596,DFW,3670,ATL,3682,Y,0,M88 AZ,596,DKR,1084,CDG,1382,Y,0,77W AZ,596,DTW,3645,ATL,3682,Y,0,M88 73H M90 757 AZ,596,DTW,3645,CDG,1382,Y,0,343 AZ,596,DUB,599,CDG,1382,Y,0,AR8 AZ,596,DUS,345,AMS,580,Y,0,F70 AZ,596,DUS,345,CDG,1382,Y,0,318 320 AZ,596,DUS,345,CTA,1509,,0,320 AZ,596,DXB,2188,AMS,580,Y,0,777 AZ,596,DXB,2188,CDG,1382,Y,0,77W AZ,596,EDI,535,CDG,1382,Y,0,AR8 AZ,596,EVN,3964,CDG,1382,,0,320 AZ,596,EVN,3964,FCO,1555,,0,32S 319 AZ,596,EWR,3494,ATL,3682,Y,0,717 AZ,596,EZE,3988,FCO,1555,,0,772 AZ,596,FCO,1555,AGP,1230,,0,319 320 AZ,596,FCO,1555,ALG,210,,0,32S 319 AZ,596,FCO,1555,AMM,2170,,0,319 32S AZ,596,FCO,1555,AMS,580,,0,321 32S 320 319 AZ,596,FCO,1555,AOI,4309,,0,E75 AZ,596,FCO,1555,ATH,3941,,0,32S 321 319 AZ,596,FCO,1555,ATL,3682,Y,0,333 AZ,596,FCO,1555,AUH,2179,,0,330 AZ,596,FCO,1555,BCN,1218,,0,320 32S 319 321 AZ,596,FCO,1555,BDS,1506,,0,319 32S 321 320 AZ,596,FCO,1555,BEG,1739,,0,E90 E75 32S 319 AZ,596,FCO,1555,BEY,2177,,0,32S 319 320 AZ,596,FCO,1555,BIO,1216,,0,320 32S AZ,596,FCO,1555,BLQ,1538,,0,319 E75 AZ,596,FCO,1555,BOD,1264,,0,E70 E90 CR7 AZ,596,FCO,1555,BOS,3448,,0,330 332 AZ,596,FCO,1555,BRI,1501,,0,32S 321 319 320 AZ,596,FCO,1555,BRU,302,,0,32S 320 319 AZ,596,FCO,1555,BUD,1489,,0,32S 319 AZ,596,FCO,1555,BZO,1536,,0,S20 AZ,596,FCO,1555,CAG,1519,,0,319 32S 320 321 AZ,596,FCO,1555,CAI,1128,,0,32S 319 AZ,596,FCO,1555,CCS,2851,,0,330 AZ,596,FCO,1555,CDG,1382,,0,321 32S 319 AZ,596,FCO,1555,CMB,3024,Y,0,332 343 AZ,596,FCO,1555,CMN,1074,,0,319 320 32S E90 AZ,596,FCO,1555,CPH,609,,0,32S 319 AZ,596,FCO,1555,CTA,1509,,0,321 32S 319 320 AZ,596,FCO,1555,DEL,3093,Y,0,333 AZ,596,FCO,1555,EVN,3964,,0,32S 319 AZ,596,FCO,1555,EZE,3988,,0,772 AZ,596,FCO,1555,FLR,1563,,0,319 AZ,596,FCO,1555,FRA,340,,0,319 E75 E90 32S AZ,596,FCO,1555,GIG,2560,,0,330 AZ,596,FCO,1555,GOA,1528,,0,E75 319 32S 320 E90 AZ,596,FCO,1555,GRU,2564,,0,772 AZ,596,FCO,1555,GVA,1665,,0,32S E75 319 E90 AZ,596,FCO,1555,GYD,2922,Y,0,319 AZ,596,FCO,1555,IAS,1655,,0,733 AZ,596,FCO,1555,ICN,3930,Y,0,744 AZ,596,FCO,1555,IKA,4330,,0,320 AZ,596,FCO,1555,IST,1701,,0,321 32S 320 AZ,596,FCO,1555,JED,2072,Y,0,320 AZ,596,FCO,1555,JFK,3797,,0,772 330 AZ,596,FCO,1555,KBP,2939,,0,32S AZ,596,FCO,1555,KIX,3992,,0,330 AZ,596,FCO,1555,KWI,2176,Y,0,340 AZ,596,FCO,1555,LAX,3484,,0,772 AZ,596,FCO,1555,LCY,503,,0,E90 AZ,596,FCO,1555,LED,2948,,0,32S 319 AZ,596,FCO,1555,LHR,507,,0,321 32S 320 AZ,596,FCO,1555,LIN,1529,,0,32S 319 E75 320 E90 321 AZ,596,FCO,1555,LIS,1638,Y,0,320 321 319 AZ,596,FCO,1555,LOS,273,,0,330 AZ,596,FCO,1555,LUX,629,Y,0,DH4 AZ,596,FCO,1555,LYS,1335,,0,CRK AZ,596,FCO,1555,MAD,1229,,0,32S 319 321 320 AZ,596,FCO,1555,MIA,3576,,0,772 330 AZ,596,FCO,1555,MLA,1606,,0,32S 320 AZ,596,FCO,1555,MPL,1359,Y,0,E75 E90 AZ,596,FCO,1555,MRS,1353,Y,0,319 AZ,596,FCO,1555,MUC,346,,0,319 32S AZ,596,FCO,1555,MXP,1524,,0,E75 E90 AZ,596,FCO,1555,NAP,1561,,0,32S 319 AZ,596,FCO,1555,NCE,1354,,0,319 32S E75 321 E90 AZ,596,FCO,1555,NRT,2279,,0,772 AZ,596,FCO,1555,OPO,1636,Y,0,100 AZ,596,FCO,1555,ORD,3830,,0,332 330 AZ,596,FCO,1555,ORN,231,,0,E75 AZ,596,FCO,1555,OTP,1657,,0,32S 319 AZ,596,FCO,1555,PMO,1512,,0,E75 32S 320 321 319 AZ,596,FCO,1555,PRG,1587,,0,32S AZ,596,FCO,1555,PSA,1562,,0,319 E75 AZ,596,FCO,1555,PVG,3406,Y,0,332 AZ,596,FCO,1555,REG,1514,,0,320 319 AZ,596,FCO,1555,RIX,3953,Y,0,73C AZ,596,FCO,1555,RUH,2082,Y,0,320 AZ,596,FCO,1555,SKG,1486,,0,E75 E90 AZ,596,FCO,1555,SKP,1737,,0,E75 AZ,596,FCO,1555,SOF,1194,,0,321 319 AZ,596,FCO,1555,SUF,1508,,0,32S 321 320 319 AZ,596,FCO,1555,SVO,2985,,0,32S 319 321 AZ,596,FCO,1555,SXB,1435,,0,ER4 CR7 AZ,596,FCO,1555,TBS,3973,,0,E90 AZ,596,FCO,1555,TGD,1741,,0,E75 100 AZ,596,FCO,1555,TIA,1190,,0,32S 319 E90 E75 AZ,596,FCO,1555,TIP,1157,,0,319 AZ,596,FCO,1555,TLS,1273,,0,E75 AZ,596,FCO,1555,TLV,1590,,0,321 32S AZ,596,FCO,1555,TRN,1526,,0,32S 319 320 E75 AZ,596,FCO,1555,TRS,1545,,0,32S 319 E75 320 AZ,596,FCO,1555,TUN,287,,0,32S 319 E90 E75 AZ,596,FCO,1555,VCE,1551,,0,E90 32S E75 319 320 AZ,596,FCO,1555,VIE,1613,,0,319 E90 E75 AZ,596,FCO,1555,VLC,1246,,0,32S AZ,596,FCO,1555,VRN,1550,,0,32S E75 319 AZ,596,FCO,1555,WAW,679,,0,32S AZ,596,FCO,1555,YYZ,193,,0,332 AZ,596,FCO,1555,ZRH,1678,,0,E75 E90 32S AZ,596,FLL,3533,ATL,3682,Y,0,757 AZ,596,FLR,1563,AMS,580,,0,E90 AZ,596,FLR,1563,CDG,1382,Y,0,318 AZ,596,FLR,1563,FCO,1555,,0,319 AZ,596,FLR,1563,GVA,1665,Y,0,S20 AZ,596,FRA,340,FCO,1555,,0,319 E75 E90 32S AZ,596,FRA,340,HAN,3199,Y,0,777 AZ,596,FRA,340,LIN,1529,Y,0,E75 AZ,596,FRA,340,SGN,3205,Y,0,777 AZ,596,FRU,2912,SVO,2985,,0,319 AZ,596,FSC,1323,MRS,1353,,0,AT7 AZ,596,FSC,1323,NCE,1354,Y,0,AT7 AZ,596,GDL,1804,ATL,3682,Y,0,320 AZ,596,GIG,2560,FCO,1555,,0,330 AZ,596,GLA,534,AMS,580,Y,0,737 AZ,596,GNV,3472,ATL,3682,Y,0,CR9 CR7 AZ,596,GOA,1528,CDG,1382,Y,0,E70 E90 AZ,596,GOA,1528,FCO,1555,,0,319 32S E75 320 E90 AZ,596,GOA,1528,TIA,1190,Y,0,320 AZ,596,GOT,687,CDG,1382,Y,0,E90 E70 AZ,596,GPT,4038,ATL,3682,Y,0,M88 AZ,596,GRU,2564,FCO,1555,,0,772 AZ,596,GSP,4034,ATL,3682,Y,0,M88 319 717 AZ,596,GVA,1665,FCO,1555,,0,32S E75 319 E90 AZ,596,GVA,1665,FLR,1563,Y,0,S20 AZ,596,GYD,2922,FCO,1555,Y,0,319 AZ,596,GYD,2922,MXP,1524,Y,0,320 AZ,596,HAJ,352,AMS,580,Y,0,E90 F70 AZ,596,HAJ,352,CDG,1382,Y,0,E70 AZ,596,HAM,342,AMS,580,Y,0,737 E90 F70 EMJ AZ,596,HAM,342,CDG,1382,Y,0,321 318 320 32A AZ,596,HAN,3199,CDG,1382,Y,0,777 AZ,596,HAN,3199,FRA,340,Y,0,777 AZ,596,HEL,421,AMS,580,Y,0,737 AZ,596,HKG,3077,CDG,1382,Y,0,77W AZ,596,HOU,3566,ATL,3682,Y,0,M88 AZ,596,HSV,4113,ATL,3682,Y,0,M88 AZ,596,HUY,515,AMS,580,Y,0,F70 AZ,596,IAD,3714,ATL,3682,Y,0,320 M88 AZ,596,IAD,3714,CDG,1382,Y,0,388 77W AZ,596,IAH,3550,ATL,3682,Y,0,M88 717 AZ,596,IAH,3550,CDG,1382,Y,0,77W AZ,596,IAS,1655,BLQ,1538,,0,733 AZ,596,IAS,1655,FCO,1555,Y,0,733 AZ,596,IAS,1655,OTP,1657,Y,0,AT7 AT5 AZ,596,IAS,1655,TRN,1526,,0,733 AZ,596,IBZ,1225,MAD,1229,Y,0,E90 AZ,596,ICN,3930,MXP,1524,Y,0,744 AZ,596,ICT,3457,ATL,3682,Y,0,CR7 AZ,596,IKA,4330,FCO,1555,,0,320 AZ,596,ILM,3845,ATL,3682,Y,0,CRJ AZ,596,IND,3585,ATL,3682,Y,0,M88 M90 AZ,596,IST,1701,FCO,1555,,0,32S 321 320 AZ,596,JAN,3580,ATL,3682,Y,0,717 AZ,596,JAX,3712,ATL,3682,Y,0,757 AZ,596,JED,2072,FCO,1555,Y,0,320 AZ,596,JED,2072,MXP,1524,Y,0,320 AZ,596,JFK,3797,ATL,3682,Y,0,752 319 M88 738 AZ,596,JFK,3797,CDG,1382,Y,0,332 388 772 343 AZ,596,JFK,3797,FCO,1555,,0,772 330 AZ,596,JFK,3797,MEX,1824,Y,0,738 AZ,596,JFK,3797,MSY,3861,Y,0,CR9 AZ,596,JFK,3797,MXP,1524,,0,330 AZ,596,JFK,3797,VCE,1551,Y,0,764 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AZ,596,SUF,1508,VCE,1551,Y,0,320 AZ,596,SUJ,1659,OTP,1657,Y,0,AT5 AZ,596,SVG,666,AMS,580,Y,0,737 E90 F70 AZ,596,SVG,666,CDG,1382,Y,0,E70 AZ,596,SVO,2985,BLQ,1538,Y,0,320 AZ,596,SVO,2985,CTA,1509,,0,320 AZ,596,SVO,2985,FCO,1555,,0,321 32S 319 AZ,596,SVO,2985,FRU,2912,,0,319 321 AZ,596,SVO,2985,MXP,1524,,0,32S 319 AZ,596,SVO,2985,PMO,1512,Y,0,320 AZ,596,SVO,2985,PSA,1562,Y,0,320 AZ,596,SVO,2985,TAS,2983,,0,321 AZ,596,SVO,2985,VCE,1551,Y,0,321 320 AZ,596,SXB,1435,FCO,1555,,0,ER4 CR7 AZ,596,SXM,2899,CDG,1382,Y,0,343 AZ,596,SYD,3361,AUH,2179,Y,0,77W 346 AZ,596,TAS,2983,SVO,2985,,0,321 AZ,596,TBS,3973,FCO,1555,,0,E90 AZ,596,TFN,1057,MAD,1229,Y,0,738 332 AZ,596,TGD,1741,FCO,1555,,0,E75 100 AZ,596,TGM,1662,OTP,1657,Y,0,AT5 AZ,596,TIA,1190,BLQ,1538,Y,0,320 AZ,596,TIA,1190,BRI,1501,,0,32S 319 AZ,596,TIA,1190,FCO,1555,,0,32S 319 E90 E75 AZ,596,TIA,1190,GOA,1528,Y,0,320 AZ,596,TIA,1190,MXP,1524,Y,0,320 AZ,596,TIA,1190,PSA,1562,Y,0,320 AZ,596,TIA,1190,TRN,1526,,0,319 320 32S 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AZ,596,TUN,287,MXP,1524,,0,319 32S AZ,596,TUS,3636,ATL,3682,Y,0,M90 AZ,596,TXL,351,AMS,580,Y,0,737 AZ,596,TXL,351,CDG,1382,Y,0,321 319 320 318 AZ,596,TXL,351,CTA,1509,,0,320 AZ,596,TXL,351,PMO,1512,Y,0,320 AZ,596,TXL,351,PSA,1562,Y,0,320 AZ,596,TYS,3676,ATL,3682,Y,0,717 AZ,596,VCE,1551,AMS,580,Y,0,737 AZ,596,VCE,1551,ATH,3941,Y,0,320 AZ,596,VCE,1551,CDG,1382,Y,0,318 320 319 32A AZ,596,VCE,1551,CPH,609,Y,0,320 AZ,596,VCE,1551,CTA,1509,Y,0,320 AZ,596,VCE,1551,FCO,1555,,0,E90 32S E75 319 320 AZ,596,VCE,1551,JFK,3797,Y,0,764 AZ,596,VCE,1551,LED,2948,Y,0,320 AZ,596,VCE,1551,LIS,1638,Y,0,319 AZ,596,VCE,1551,MRS,1353,Y,0,320 319 AZ,596,VCE,1551,NCE,1354,Y,0,320 AZ,596,VCE,1551,NRT,2279,,0,772 AZ,596,VCE,1551,PMO,1512,Y,0,320 AZ,596,VCE,1551,PRG,1587,Y,0,320 AZ,596,VCE,1551,RIX,3953,,0,73C 735 AZ,596,VCE,1551,SUF,1508,Y,0,320 AZ,596,VCE,1551,SVO,2985,Y,0,321 320 AZ,596,VCE,1551,TIA,1190,Y,0,320 AZ,596,VCE,1551,TLS,1273,Y,0,319 320 AZ,596,VGO,1250,CDG,1382,Y,0,E70 AZ,596,VGO,1250,MAD,1229,Y,0,E90 AZ,596,VIE,1613,CTA,1509,,0,320 AZ,596,VIE,1613,FCO,1555,,0,319 E90 E75 AZ,596,VIE,1613,LIN,1529,,0,E75 AZ,596,VLC,1246,FCO,1555,,0,32S AZ,596,VLC,1246,PMI,3998,Y,0,E90 AZ,596,VRN,1550,CDG,1382,Y,0,E70 AZ,596,VRN,1550,CTA,1509,,0,320 AZ,596,VRN,1550,FCO,1555,,0,32S E75 319 AZ,596,VRN,1550,PMO,1512,Y,0,320 AZ,596,VRN,1550,TIA,1190,Y,0,320 AZ,596,WAW,679,FCO,1555,,0,32S AZ,596,WAW,679,LIN,1529,,0,319 E75 AZ,596,YUL,146,CDG,1382,Y,0,744 343 AZ,596,YUL,146,JFK,3797,Y,0,CRJ AZ,596,YYZ,193,CDG,1382,Y,0,772 AZ,596,YYZ,193,DTW,3645,Y,0,CRJ AZ,596,YYZ,193,FCO,1555,,0,332 AZ,596,ZRH,1678,FCO,1555,,0,E75 E90 32S B2,1478,AER,2965,MSQ,2954,,0,735 CRJ B2,1478,AMS,580,MSQ,2954,,0,735 733 B2,1478,ARN,737,MSQ,2954,,0,CRJ B2,1478,ASB,2976,MSQ,2954,,0,735 B2,1478,AUH,2179,MSQ,2954,,0,319 B2,1478,BCN,1218,MSQ,2954,,0,E75 733 735 B2,1478,BEG,1739,BUD,1489,,0,CRJ 735 B2,1478,BEY,2177,MSQ,2954,,0,CRJ B2,1478,BUD,1489,BEG,1739,,0,CRJ 735 B2,1478,BUD,1489,MSQ,2954,,0,CRJ 735 B2,1478,BUS,3971,MSQ,2954,,0,CRJ B2,1478,CDG,1382,MSQ,2954,,0,733 B2,1478,DME,4029,MSQ,2954,,0,735 CRJ E95 733 B2,1478,EVN,3964,MSQ,2954,,0,E75 B2,1478,FCO,1555,MSQ,2954,,0,735 B2,1478,FRA,340,MSQ,2954,,0,735 E75 B2,1478,GVA,1665,MSQ,2954,,0,E75 E95 B2,1478,GYD,2922,MSQ,2954,,0,735 B2,1478,HAJ,352,MSQ,2954,,0,CRJ B2,1478,HEL,421,MSQ,2954,,0,CRJ 733 B2,1478,IKA,4330,MSQ,2954,,0,E75 B2,1478,IST,1701,MSQ,2954,,0,733 E75 B2,1478,KBP,2939,MSQ,2954,,0,E75 CRJ B2,1478,KGD,2952,MSQ,2954,,0,CRJ B2,1478,KRR,2960,MSQ,2954,,0,735 B2,1478,KUF,2993,MSQ,2954,,0,CRJ B2,1478,KUT,3972,MSQ,2954,,0,CRJ B2,1478,LCA,1197,MSQ,2954,,0,733 B2,1478,LED,2948,MSQ,2954,,0,CRJ E75 E95 B2,1478,LGW,502,MSQ,2954,,0,735 E75 B2,1478,MSQ,2954,AER,2965,,0,735 CRJ B2,1478,MSQ,2954,AMS,580,,0,735 733 B2,1478,MSQ,2954,ARN,737,,0,CRJ B2,1478,MSQ,2954,ASB,2976,,0,735 B2,1478,MSQ,2954,AUH,2179,,0,319 B2,1478,MSQ,2954,BCN,1218,,0,E75 733 735 B2,1478,MSQ,2954,BEY,2177,,0,CRJ B2,1478,MSQ,2954,BUD,1489,,0,CRJ 735 B2,1478,MSQ,2954,BUS,3971,,0,CRJ B2,1478,MSQ,2954,CDG,1382,,0,733 B2,1478,MSQ,2954,DME,4029,,0,735 CRJ E95 733 B2,1478,MSQ,2954,EVN,3964,,0,E75 B2,1478,MSQ,2954,FCO,1555,,0,735 B2,1478,MSQ,2954,FRA,340,,0,735 E75 B2,1478,MSQ,2954,GVA,1665,,0,E75 E95 B2,1478,MSQ,2954,GYD,2922,,0,735 B2,1478,MSQ,2954,HAJ,352,,0,CRJ B2,1478,MSQ,2954,HEL,421,,0,CRJ 733 B2,1478,MSQ,2954,IKA,4330,,0,E75 B2,1478,MSQ,2954,IST,1701,,0,733 E75 B2,1478,MSQ,2954,KBP,2939,,0,E75 CRJ B2,1478,MSQ,2954,KGD,2952,,0,CRJ B2,1478,MSQ,2954,KRR,2960,,0,735 B2,1478,MSQ,2954,KUF,2993,,0,CRJ B2,1478,MSQ,2954,KUT,3972,,0,CRJ B2,1478,MSQ,2954,LCA,1197,,0,733 B2,1478,MSQ,2954,LED,2948,,0,CRJ E75 E95 B2,1478,MSQ,2954,LGW,502,,0,735 E75 B2,1478,MSQ,2954,MXP,1524,,0,735 B2,1478,MSQ,2954,NCE,1354,,0,E75 B2,1478,MSQ,2954,PRG,1587,,0,E75 E95 733 B2,1478,MSQ,2954,RIX,3953,,0,CRJ B2,1478,MSQ,2954,SVX,2975,,0,CRJ B2,1478,MSQ,2954,SXF,337,,0,CRJ B2,1478,MSQ,2954,TBS,3973,,0,735 B2,1478,MSQ,2954,TLV,1590,,0,733 B2,1478,MSQ,2954,TSE,2910,,0,735 B2,1478,MSQ,2954,VIE,1613,Y,0,F70 B2,1478,MSQ,2954,VNO,3959,,0,CRJ B2,1478,MSQ,2954,WAW,679,,0,735 CRJ E75 B2,1478,MXP,1524,MSQ,2954,,0,735 B2,1478,NCE,1354,MSQ,2954,,0,E75 B2,1478,PRG,1587,MSQ,2954,,0,E75 E95 733 B2,1478,RIX,3953,MSQ,2954,,0,CRJ B2,1478,SVX,2975,MSQ,2954,,0,CRJ B2,1478,SXF,337,MSQ,2954,,0,CRJ B2,1478,TBS,3973,MSQ,2954,,0,735 B2,1478,TLV,1590,MSQ,2954,,0,733 B2,1478,TSE,2910,MSQ,2954,,0,735 B2,1478,VIE,1613,MSQ,2954,Y,0,F70 B2,1478,VNO,3959,MSQ,2954,,0,CRJ B2,1478,WAW,679,MSQ,2954,,0,735 CRJ E75 B5,2395,ASV,5692,WIL,1147,,0,CNA B5,2395,HAH,912,MBA,1145,,0,F28 B5,2395,HGA,1121,WJR,1149,,0,CRJ B5,2395,KTL,1141,WIL,1147,,0,CNA B5,2395,LAU,1144,MYD,5694,,0,BE1 B5,2395,LKG,5693,WIL,1147,,0,BE1 B5,2395,MBA,1145,HAH,912,,0,F28 B5,2395,MBA,1145,NBO,4059,,0,F28 CRJ B5,2395,MGQ,5687,WJR,1149,,0,CRJ F28 DH8 B5,2395,MRE,7424,WIL,1147,,0,CNA B5,2395,MYD,5694,WIL,1147,,0,BE1 B5,2395,NBO,4059,MBA,1145,,0,F28 CRJ B5,2395,NBO,4059,MGQ,5687,,0,F28 DC9 CRJ B5,2395,NBO,4059,WJR,1149,,0,CRJ B5,2395,UKA,7976,WIL,1147,,0,BE1 B5,2395,WIL,1147,ASV,5692,,0,CNA B5,2395,WIL,1147,KTL,1141,,0,CNA B5,2395,WIL,1147,LAU,1144,,0,BE1 B5,2395,WIL,1147,LKG,5693,,0,BE1 B5,2395,WIL,1147,MRE,7424,,0,CNA B5,2395,WIL,1147,UKA,7976,,0,BE1 B5,2395,WIL,1147,WJR,1149,,0,BE1 B5,2395,WJR,1149,HGA,1121,,0,CRJ B5,2395,WJR,1149,MGQ,5687,,0,CRJ B5,2395,WJR,1149,NBO,4059,,0,CRJ F28 B5,2395,WJR,1149,WIL,1147,,0,BE1 B6,3029,ABQ,4019,JFK,3797,,0,320 B6,3029,AUA,2895,BOS,3448,,0,320 B6,3029,AUA,2895,JFK,3797,,0,320 B6,3029,AUS,3673,BOS,3448,,0,E90 B6,3029,AUS,3673,FLL,3533,,0,E90 B6,3029,AUS,3673,JFK,3797,,0,320 B6,3029,AUS,3673,LGB,3582,,0,320 B6,3029,AUS,3673,MCO,3878,,0,E90 320 B6,3029,AUS,3673,SFO,3469,,0,320 B6,3029,AZS,5810,JFK,3797,,0,320 B6,3029,BDA,4069,JFK,3797,,0,320 B6,3029,BDL,3825,FLL,3533,,0,320 B6,3029,BDL,3825,MCO,3878,,0,320 B6,3029,BDL,3825,PBI,3722,,0,E90 B6,3029,BDL,3825,SJU,2890,,0,320 B6,3029,BDL,3825,TPA,3646,,0,320 B6,3029,BGI,2875,JFK,3797,,0,321 B6,3029,BOG,2709,FLL,3533,,0,320 B6,3029,BOG,2709,MCO,3878,,0,320 B6,3029,BOS,3448,AUA,2895,,0,320 B6,3029,BOS,3448,AUS,3673,,0,E90 B6,3029,BOS,3448,BUF,3820,,0,E90 B6,3029,BOS,3448,BWI,3849,,0,E90 B6,3029,BOS,3448,CHS,3806,,0,E90 B6,3029,BOS,3448,CLT,3876,,0,E90 B6,3029,BOS,3448,CUN,1852,,0,320 B6,3029,BOS,3448,DCA,3520,,0,320 E90 B6,3029,BOS,3448,DEN,3751,,0,320 B6,3029,BOS,3448,DFW,3670,,0,E90 B6,3029,BOS,3448,DTW,3645,,0,E90 B6,3029,BOS,3448,DXB,2188,,0,77L B6,3029,BOS,3448,EWR,3494,,0,E90 B6,3029,BOS,3448,FLL,3533,,0,320 E90 B6,3029,BOS,3448,HOU,3566,,0,E90 B6,3029,BOS,3448,IAD,3714,,0,E90 B6,3029,BOS,3448,JAX,3712,,0,E90 B6,3029,BOS,3448,JFK,3797,,0,320 E90 B6,3029,BOS,3448,LAS,3877,,0,320 B6,3029,BOS,3448,LAX,3484,,0,320 B6,3029,BOS,3448,LGB,3582,,0,320 B6,3029,BOS,3448,MCO,3878,,0,320 E90 B6,3029,BOS,3448,MSY,3861,,0,E90 B6,3029,BOS,3448,NAS,1953,,0,E90 B6,3029,BOS,3448,ORD,3830,,0,320 E90 B6,3029,BOS,3448,PBI,3722,,0,320 E90 B6,3029,BOS,3448,PDX,3720,,0,320 B6,3029,BOS,3448,PHL,3752,,0,E90 B6,3029,BOS,3448,PHX,3462,,0,320 B6,3029,BOS,3448,PIT,3570,,0,E90 B6,3029,BOS,3448,PLS,1754,,0,320 B6,3029,BOS,3448,PUJ,1760,,0,320 B6,3029,BOS,3448,RDU,3626,,0,E90 B6,3029,BOS,3448,RIC,3608,,0,E90 B6,3029,BOS,3448,RSW,3793,,0,320 B6,3029,BOS,3448,SAN,3731,,0,320 B6,3029,BOS,3448,SAV,3613,,0,E90 B6,3029,BOS,3448,SDQ,1762,,0,320 B6,3029,BOS,3448,SEA,3577,,0,320 B6,3029,BOS,3448,SFO,3469,,0,320 B6,3029,BOS,3448,SJC,3748,,0,320 B6,3029,BOS,3448,SJU,2890,,0,320 B6,3029,BOS,3448,STI,1764,,0,320 B6,3029,BOS,3448,STT,2883,,0,320 B6,3029,BOS,3448,SXM,2899,,0,320 B6,3029,BOS,3448,TPA,3646,,0,320 B6,3029,BQN,2885,JFK,3797,,0,320 B6,3029,BQN,2885,MCO,3878,,0,320 B6,3029,BTV,3711,JFK,3797,,0,E90 B6,3029,BUF,3820,BOS,3448,,0,E90 B6,3029,BUF,3820,JFK,3797,,0,E90 320 B6,3029,BUF,3820,MCO,3878,,0,320 B6,3029,BUR,3644,JFK,3797,,0,320 B6,3029,BWI,3849,BOS,3448,,0,E90 B6,3029,CHS,3806,BOS,3448,,0,E90 B6,3029,CHS,3806,JFK,3797,,0,320 B6,3029,CLT,3876,BOS,3448,,0,E90 B6,3029,CLT,3876,JFK,3797,,0,E90 B6,3029,CTG,2714,JFK,3797,,0,320 B6,3029,CUN,1852,BOS,3448,,0,320 B6,3029,CUN,1852,FLL,3533,,0,E90 320 B6,3029,CUN,1852,JFK,3797,,0,320 B6,3029,CUN,1852,MCO,3878,,0,E90 B6,3029,DCA,3520,BOS,3448,,0,E90 320 B6,3029,DCA,3520,FLL,3533,,0,E90 320 B6,3029,DCA,3520,MCO,3878,,0,320 E90 B6,3029,DCA,3520,SJU,2890,,0,320 B6,3029,DCA,3520,TPA,3646,,0,320 B6,3029,DEN,3751,BOS,3448,,0,320 B6,3029,DEN,3751,JFK,3797,,0,320 B6,3029,DFW,3670,BOS,3448,,0,E90 B6,3029,DFW,3670,DXB,2188,,0,77L B6,3029,DTW,3645,BOS,3448,,0,E90 B6,3029,DXB,2188,BOS,3448,,0,77L B6,3029,DXB,2188,DFW,3670,,0,77L B6,3029,DXB,2188,IAD,3714,,0,77W B6,3029,DXB,2188,IAH,3550,,0,77W B6,3029,DXB,2188,JFK,3797,,0,388 B6,3029,DXB,2188,LAX,3484,,0,388 B6,3029,DXB,2188,MXP,1524,,0,77W B6,3029,DXB,2188,SEA,3577,,0,77W B6,3029,DXB,2188,SFO,3469,,0,77W B6,3029,EWR,3494,BOS,3448,,0,E90 B6,3029,EWR,3494,FLL,3533,,0,320 B6,3029,EWR,3494,MCO,3878,,0,320 B6,3029,EWR,3494,PBI,3722,,0,320 B6,3029,EWR,3494,RSW,3793,,0,320 B6,3029,EWR,3494,SJU,2890,,0,320 B6,3029,EWR,3494,STI,1764,,0,320 B6,3029,EWR,3494,TPA,3646,,0,320 B6,3029,FLL,3533,AUS,3673,,0,E90 B6,3029,FLL,3533,BDL,3825,,0,320 B6,3029,FLL,3533,BOG,2709,,0,320 B6,3029,FLL,3533,BOS,3448,,0,320 E90 B6,3029,FLL,3533,CUN,1852,,0,E90 320 B6,3029,FLL,3533,DCA,3520,,0,320 E90 B6,3029,FLL,3533,EWR,3494,,0,320 B6,3029,FLL,3533,HPN,3589,,0,E90 B6,3029,FLL,3533,JFK,3797,,0,320 E90 B6,3029,FLL,3533,KIN,1779,,0,E90 B6,3029,FLL,3533,LAX,3484,,0,320 B6,3029,FLL,3533,LGA,3697,,0,320 B6,3029,FLL,3533,LIM,2789,,0,320 B6,3029,FLL,3533,MBJ,1780,,0,E90 B6,3029,FLL,3533,MDE,2745,,0,320 B6,3029,FLL,3533,NAS,1953,,0,320 E90 B6,3029,FLL,3533,ORH,6426,,0,E90 B6,3029,FLL,3533,PAP,1897,,0,320 B6,3029,FLL,3533,POS,2902,,0,320 B6,3029,FLL,3533,PUJ,1760,,0,320 B6,3029,FLL,3533,PVD,3641,,0,320 B6,3029,FLL,3533,RDU,3626,,0,E90 B6,3029,FLL,3533,RIC,3608,,0,E90 B6,3029,FLL,3533,SDQ,1762,,0,320 B6,3029,FLL,3533,SFO,3469,,0,320 B6,3029,FLL,3533,SJO,1885,,0,320 B6,3029,FLL,3533,SJU,2890,,0,320 E90 B6,3029,FLL,3533,SWF,3661,,0,E90 B6,3029,GCM,1926,JFK,3797,,0,320 B6,3029,HOU,3566,BOS,3448,,0,E90 B6,3029,HOU,3566,JFK,3797,,0,E90 B6,3029,HPN,3589,FLL,3533,,0,E90 B6,3029,HPN,3589,MCO,3878,,0,320 E90 B6,3029,HPN,3589,PBI,3722,,0,E90 B6,3029,HPN,3589,RSW,3793,,0,E90 B6,3029,HPN,3589,TPA,3646,,0,E90 B6,3029,IAD,3714,BOS,3448,,0,E90 B6,3029,IAD,3714,DXB,2188,,0,77W B6,3029,IAD,3714,JFK,3797,,0,E90 B6,3029,IAD,3714,LGB,3582,,0,320 B6,3029,IAH,3550,DXB,2188,,0,77W B6,3029,JAX,3712,BOS,3448,,0,E90 B6,3029,JAX,3712,JFK,3797,,0,320 B6,3029,JAX,3712,SJU,2890,,0,E90 B6,3029,JFK,3797,ABQ,4019,,0,320 B6,3029,JFK,3797,AUA,2895,,0,320 B6,3029,JFK,3797,AUS,3673,,0,320 B6,3029,JFK,3797,AZS,5810,,0,320 B6,3029,JFK,3797,BDA,4069,,0,320 B6,3029,JFK,3797,BGI,2875,,0,321 B6,3029,JFK,3797,BOS,3448,,0,E90 320 B6,3029,JFK,3797,BQN,2885,,0,320 B6,3029,JFK,3797,BTV,3711,,0,E90 B6,3029,JFK,3797,BUF,3820,,0,E90 320 B6,3029,JFK,3797,BUR,3644,,0,320 B6,3029,JFK,3797,CHS,3806,,0,320 B6,3029,JFK,3797,CLT,3876,,0,E90 B6,3029,JFK,3797,CTG,2714,,0,320 B6,3029,JFK,3797,CUN,1852,,0,320 B6,3029,JFK,3797,DEN,3751,,0,320 B6,3029,JFK,3797,DXB,2188,,0,388 B6,3029,JFK,3797,FLL,3533,,0,320 E90 B6,3029,JFK,3797,GCM,1926,,0,320 B6,3029,JFK,3797,HOU,3566,,0,E90 B6,3029,JFK,3797,IAD,3714,,0,E90 B6,3029,JFK,3797,JAX,3712,,0,320 B6,3029,JFK,3797,JNB,813,,0,346 B6,3029,JFK,3797,KIN,1779,,0,320 B6,3029,JFK,3797,LAS,3877,,0,320 B6,3029,JFK,3797,LAX,3484,,0,320 B6,3029,JFK,3797,LGB,3582,,0,320 B6,3029,JFK,3797,LIR,1881,,0,320 B6,3029,JFK,3797,LRM,1759,,0,320 B6,3029,JFK,3797,MBJ,1780,,0,320 B6,3029,JFK,3797,MCO,3878,,0,320 E90 B6,3029,JFK,3797,MSY,3861,,0,E90 320 B6,3029,JFK,3797,MXP,1524,,0,77W B6,3029,JFK,3797,NAS,1953,,0,320 E90 B6,3029,JFK,3797,OAK,3453,,0,320 B6,3029,JFK,3797,ORD,3830,,0,320 E90 B6,3029,JFK,3797,PAP,1897,,0,320 B6,3029,JFK,3797,PBI,3722,,0,E90 320 B6,3029,JFK,3797,PDX,3720,,0,320 B6,3029,JFK,3797,PHX,3462,,0,320 B6,3029,JFK,3797,PLS,1754,,0,320 B6,3029,JFK,3797,POP,1761,,0,320 B6,3029,JFK,3797,POS,2902,,0,320 B6,3029,JFK,3797,PSE,2889,,0,320 B6,3029,JFK,3797,PUJ,1760,,0,321 320 B6,3029,JFK,3797,PWM,3862,,0,E90 B6,3029,JFK,3797,RDU,3626,,0,E90 B6,3029,JFK,3797,ROC,3622,,0,E90 B6,3029,JFK,3797,RSW,3793,,0,320 B6,3029,JFK,3797,SAN,3731,,0,320 B6,3029,JFK,3797,SAV,3613,,0,320 B6,3029,JFK,3797,SDQ,1762,,0,321 320 B6,3029,JFK,3797,SEA,3577,,0,320 B6,3029,JFK,3797,SFO,3469,,0,320 B6,3029,JFK,3797,SJC,3748,,0,320 B6,3029,JFK,3797,SJU,2890,,0,320 B6,3029,JFK,3797,SLC,3536,,0,320 B6,3029,JFK,3797,SMF,3817,,0,320 B6,3029,JFK,3797,SRQ,4067,,0,E90 B6,3029,JFK,3797,STI,1764,,0,320 321 B6,3029,JFK,3797,SXM,2899,,0,320 B6,3029,JFK,3797,SYR,3745,,0,E90 B6,3029,JFK,3797,TPA,3646,,0,320 E90 B6,3029,JFK,3797,UVF,2894,,0,320 B6,3029,JNB,813,JFK,3797,,0,346 B6,3029,KIN,1779,FLL,3533,,0,E90 B6,3029,KIN,1779,JFK,3797,,0,320 B6,3029,LAS,3877,BOS,3448,,0,320 B6,3029,LAS,3877,JFK,3797,,0,320 B6,3029,LAS,3877,LGB,3582,,0,320 B6,3029,LAX,3484,BOS,3448,,0,320 B6,3029,LAX,3484,DXB,2188,,0,388 B6,3029,LAX,3484,FLL,3533,,0,320 B6,3029,LAX,3484,JFK,3797,,0,320 B6,3029,LGA,3697,FLL,3533,,0,320 B6,3029,LGA,3697,MCO,3878,,0,320 B6,3029,LGA,3697,PBI,3722,,0,320 E90 B6,3029,LGA,3697,RSW,3793,,0,320 B6,3029,LGA,3697,SRQ,4067,,0,320 B6,3029,LGA,3697,TPA,3646,,0,320 B6,3029,LGB,3582,AUS,3673,,0,320 B6,3029,LGB,3582,BOS,3448,,0,320 B6,3029,LGB,3582,IAD,3714,,0,320 B6,3029,LGB,3582,JFK,3797,,0,320 B6,3029,LGB,3582,LAS,3877,,0,320 B6,3029,LGB,3582,OAK,3453,,0,320 B6,3029,LGB,3582,PDX,3720,,0,320 B6,3029,LGB,3582,SEA,3577,,0,320 B6,3029,LGB,3582,SFO,3469,,0,320 B6,3029,LGB,3582,SLC,3536,,0,320 B6,3029,LGB,3582,SMF,3817,,0,320 B6,3029,LIM,2789,FLL,3533,,0,320 B6,3029,LIR,1881,JFK,3797,,0,320 B6,3029,LRM,1759,JFK,3797,,0,320 B6,3029,MBJ,1780,FLL,3533,,0,E90 B6,3029,MBJ,1780,JFK,3797,,0,320 B6,3029,MBJ,1780,MCO,3878,,0,320 B6,3029,MCO,3878,AUS,3673,,0,E90 320 B6,3029,MCO,3878,BDL,3825,,0,320 B6,3029,MCO,3878,BOG,2709,,0,320 B6,3029,MCO,3878,BOS,3448,,0,320 E90 B6,3029,MCO,3878,BQN,2885,,0,320 B6,3029,MCO,3878,BUF,3820,,0,320 B6,3029,MCO,3878,CUN,1852,,0,E90 B6,3029,MCO,3878,DCA,3520,,0,E90 320 B6,3029,MCO,3878,EWR,3494,,0,320 B6,3029,MCO,3878,HPN,3589,,0,320 E90 B6,3029,MCO,3878,JFK,3797,,0,320 E90 B6,3029,MCO,3878,LGA,3697,,0,320 B6,3029,MCO,3878,MBJ,1780,,0,320 B6,3029,MCO,3878,NAS,1953,,0,E90 B6,3029,MCO,3878,ORH,6426,,0,E90 B6,3029,MCO,3878,PSE,2889,,0,320 B6,3029,MCO,3878,PVD,3641,,0,320 B6,3029,MCO,3878,RIC,3608,,0,E90 B6,3029,MCO,3878,SDQ,1762,,0,E90 B6,3029,MCO,3878,SJO,1885,,0,320 B6,3029,MCO,3878,SJU,2890,,0,E90 320 B6,3029,MCO,3878,SWF,3661,,0,E90 B6,3029,MCO,3878,SYR,3745,,0,320 E90 B6,3029,MDE,2745,FLL,3533,,0,320 B6,3029,MSY,3861,BOS,3448,,0,E90 B6,3029,MSY,3861,JFK,3797,,0,E90 320 B6,3029,MXP,1524,DXB,2188,,0,77W B6,3029,MXP,1524,JFK,3797,,0,77W B6,3029,NAS,1953,BOS,3448,,0,E90 B6,3029,NAS,1953,FLL,3533,,0,320 E90 B6,3029,NAS,1953,JFK,3797,,0,320 E90 B6,3029,NAS,1953,MCO,3878,,0,E90 B6,3029,OAK,3453,JFK,3797,,0,320 B6,3029,OAK,3453,LGB,3582,,0,320 B6,3029,ORD,3830,BOS,3448,,0,320 E90 B6,3029,ORD,3830,JFK,3797,,0,E90 320 B6,3029,ORD,3830,SJU,2890,,0,320 B6,3029,ORH,6426,FLL,3533,,0,E90 B6,3029,ORH,6426,MCO,3878,,0,E90 B6,3029,PAP,1897,FLL,3533,,0,320 B6,3029,PAP,1897,JFK,3797,,0,320 B6,3029,PBI,3722,BDL,3825,,0,E90 B6,3029,PBI,3722,BOS,3448,,0,320 E90 B6,3029,PBI,3722,EWR,3494,,0,320 B6,3029,PBI,3722,HPN,3589,,0,E90 B6,3029,PBI,3722,JFK,3797,,0,320 E90 B6,3029,PBI,3722,LGA,3697,,0,320 E90 B6,3029,PBI,3722,SJU,2890,,0,E90 B6,3029,PDX,3720,BOS,3448,,0,320 B6,3029,PDX,3720,JFK,3797,,0,320 B6,3029,PDX,3720,LGB,3582,,0,320 B6,3029,PHL,3752,BOS,3448,,0,E90 B6,3029,PHX,3462,BOS,3448,,0,320 B6,3029,PHX,3462,JFK,3797,,0,320 B6,3029,PIT,3570,BOS,3448,,0,E90 B6,3029,PLS,1754,BOS,3448,,0,320 B6,3029,PLS,1754,JFK,3797,,0,320 B6,3029,POP,1761,JFK,3797,,0,320 B6,3029,POS,2902,FLL,3533,,0,320 B6,3029,POS,2902,JFK,3797,,0,320 B6,3029,PSE,2889,JFK,3797,,0,320 B6,3029,PSE,2889,MCO,3878,,0,320 B6,3029,PUJ,1760,BOS,3448,,0,320 B6,3029,PUJ,1760,FLL,3533,,0,320 B6,3029,PUJ,1760,JFK,3797,,0,321 320 B6,3029,PUJ,1760,SJU,2890,,0,320 B6,3029,PVD,3641,FLL,3533,,0,320 B6,3029,PVD,3641,MCO,3878,,0,320 B6,3029,PWM,3862,JFK,3797,,0,E90 B6,3029,RDU,3626,BOS,3448,,0,E90 B6,3029,RDU,3626,FLL,3533,,0,E90 B6,3029,RDU,3626,JFK,3797,,0,E90 B6,3029,RIC,3608,BOS,3448,,0,E90 B6,3029,RIC,3608,FLL,3533,,0,E90 B6,3029,RIC,3608,MCO,3878,,0,E90 B6,3029,ROC,3622,JFK,3797,,0,E90 B6,3029,RSW,3793,BOS,3448,,0,320 B6,3029,RSW,3793,EWR,3494,,0,320 B6,3029,RSW,3793,HPN,3589,,0,E90 B6,3029,RSW,3793,JFK,3797,,0,320 B6,3029,RSW,3793,LGA,3697,,0,320 B6,3029,SAN,3731,BOS,3448,,0,320 B6,3029,SAN,3731,JFK,3797,,0,320 B6,3029,SAV,3613,BOS,3448,,0,E90 B6,3029,SAV,3613,JFK,3797,,0,320 B6,3029,SDQ,1762,BOS,3448,,0,320 B6,3029,SDQ,1762,FLL,3533,,0,320 B6,3029,SDQ,1762,JFK,3797,,0,320 321 B6,3029,SDQ,1762,MCO,3878,,0,E90 B6,3029,SDQ,1762,SJU,2890,,0,E90 320 B6,3029,SEA,3577,BOS,3448,,0,320 B6,3029,SEA,3577,DXB,2188,,0,77W B6,3029,SEA,3577,JFK,3797,,0,320 B6,3029,SEA,3577,LGB,3582,,0,320 B6,3029,SFO,3469,AUS,3673,,0,320 B6,3029,SFO,3469,BOS,3448,,0,320 B6,3029,SFO,3469,DXB,2188,,0,77W B6,3029,SFO,3469,FLL,3533,,0,320 B6,3029,SFO,3469,JFK,3797,,0,320 B6,3029,SFO,3469,LGB,3582,,0,320 B6,3029,SJC,3748,BOS,3448,,0,320 B6,3029,SJC,3748,JFK,3797,,0,320 B6,3029,SJO,1885,FLL,3533,,0,320 B6,3029,SJO,1885,MCO,3878,,0,320 B6,3029,SJU,2890,BDL,3825,,0,320 B6,3029,SJU,2890,BOS,3448,,0,320 B6,3029,SJU,2890,DCA,3520,,0,320 B6,3029,SJU,2890,EWR,3494,,0,320 B6,3029,SJU,2890,FLL,3533,,0,320 E90 B6,3029,SJU,2890,JAX,3712,,0,E90 B6,3029,SJU,2890,JFK,3797,,0,320 B6,3029,SJU,2890,MCO,3878,,0,E90 320 B6,3029,SJU,2890,ORD,3830,,0,320 B6,3029,SJU,2890,PBI,3722,,0,E90 B6,3029,SJU,2890,PUJ,1760,,0,320 B6,3029,SJU,2890,SDQ,1762,,0,E90 320 B6,3029,SJU,2890,STI,1764,,0,E90 B6,3029,SJU,2890,STT,2883,,0,E90 B6,3029,SJU,2890,STX,2884,,0,E90 B6,3029,SJU,2890,SXM,2899,,0,E90 B6,3029,SJU,2890,TPA,3646,,0,320 B6,3029,SLC,3536,JFK,3797,,0,320 B6,3029,SLC,3536,LGB,3582,,0,320 B6,3029,SMF,3817,JFK,3797,,0,320 B6,3029,SMF,3817,LGB,3582,,0,320 B6,3029,SRQ,4067,JFK,3797,,0,E90 B6,3029,SRQ,4067,LGA,3697,,0,320 B6,3029,STI,1764,BOS,3448,,0,320 B6,3029,STI,1764,EWR,3494,,0,320 B6,3029,STI,1764,JFK,3797,,0,321 320 B6,3029,STI,1764,SJU,2890,,0,E90 B6,3029,STT,2883,SJU,2890,,0,E90 B6,3029,STX,2884,SJU,2890,,0,E90 B6,3029,SWF,3661,FLL,3533,,0,E90 B6,3029,SWF,3661,MCO,3878,,0,E90 B6,3029,SXM,2899,BOS,3448,,0,320 B6,3029,SXM,2899,JFK,3797,,0,320 B6,3029,SXM,2899,SJU,2890,,0,E90 B6,3029,SYR,3745,JFK,3797,,0,E90 B6,3029,SYR,3745,MCO,3878,,0,E90 320 B6,3029,TPA,3646,BDL,3825,,0,320 B6,3029,TPA,3646,BOS,3448,,0,320 B6,3029,TPA,3646,DCA,3520,,0,320 B6,3029,TPA,3646,EWR,3494,,0,320 B6,3029,TPA,3646,HPN,3589,,0,E90 B6,3029,TPA,3646,JFK,3797,,0,320 E90 B6,3029,TPA,3646,LGA,3697,,0,320 B6,3029,TPA,3646,SJU,2890,,0,320 B6,3029,UVF,2894,JFK,3797,,0,320 B7,9082,CAN,3370,RMQ,2268,,0,M90 B7,9082,CKG,3393,TPE,2276,,0,M90 B7,9082,CSX,3371,RMQ,2268,,0,M90 B7,9082,DLC,3404,TPE,2276,Y,0,332 321 738 B7,9082,FOC,3385,KHH,2264,,0,M90 B7,9082,FOC,3385,TPE,2276,,0,M90 B7,9082,HAN,3199,KHH,2264,,0,M90 B7,9082,HGH,3386,KHH,2264,,0,M90 B7,9082,HGH,3386,RMQ,2268,,0,M90 B7,9082,KHH,2264,FOC,3385,,0,M90 B7,9082,KHH,2264,HAN,3199,,0,M90 B7,9082,KHH,2264,HGH,3386,,0,M90 B7,9082,KHH,2264,KMG,3382,,0,M90 B7,9082,KHH,2264,SGN,3205,,0,M90 B7,9082,KHH,2264,TAO,3390,,0,M90 B7,9082,KMG,3382,KHH,2264,,0,M90 B7,9082,NGB,3387,RMQ,2268,,0,M90 B7,9082,NGB,3387,TPE,2276,Y,0,332 B7,9082,NKG,3388,RMQ,2268,,0,M90 B7,9082,NKG,3388,TPE,2276,Y,0,332 M90 B7,9082,PVG,3406,TSA,2275,,0,321 B7,9082,RMQ,2268,CAN,3370,,0,M90 B7,9082,RMQ,2268,CSX,3371,,0,M90 B7,9082,RMQ,2268,HGH,3386,,0,M90 B7,9082,RMQ,2268,NGB,3387,,0,M90 B7,9082,RMQ,2268,NKG,3388,,0,M90 B7,9082,RMQ,2268,SZX,3374,,0,M90 B7,9082,RMQ,2268,XMN,3383,,0,M90 B7,9082,SGN,3205,KHH,2264,,0,M90 B7,9082,SHE,4144,TPE,2276,Y,0,321 320 B7,9082,SZX,3374,RMQ,2268,,0,M90 B7,9082,SZX,3374,TPE,2276,Y,0,738 74E B7,9082,TAO,3390,KHH,2264,,0,M90 B7,9082,TAO,3390,TPE,2276,Y,0,74E 738 B7,9082,TPE,2276,CKG,3393,,0,M90 B7,9082,TPE,2276,DLC,3404,Y,0,332 321 738 B7,9082,TPE,2276,FOC,3385,,0,M90 B7,9082,TPE,2276,NGB,3387,Y,0,332 B7,9082,TPE,2276,NKG,3388,Y,0,332 M90 B7,9082,TPE,2276,SHE,4144,Y,0,321 320 B7,9082,TPE,2276,SZX,3374,Y,0,74E 738 B7,9082,TPE,2276,TAO,3390,Y,0,74E 738 B7,9082,TPE,2276,XIY,3379,Y,0,321 738 B7,9082,TPE,2276,YNZ,6393,,0,321 B7,9082,TSA,2275,PVG,3406,,0,321 B7,9082,TSA,2275,XMN,3383,Y,0,321 B7,9082,XIY,3379,TPE,2276,Y,0,738 321 B7,9082,XMN,3383,RMQ,2268,,0,M90 B7,9082,XMN,3383,TSA,2275,Y,0,321 B7,9082,YNZ,6393,TPE,2276,,0,321 B9,543,ABD,2097,MHD,4331,,0,M82 B9,543,ABD,2097,THR,2131,,0,M82 B9,543,AWZ,2104,IFN,2121,,0,M82 B9,543,AWZ,2104,KIH,2109,,0,M82 B9,543,AWZ,2104,MHD,4331,,0,M82 B9,543,AWZ,2104,SRY,5933,,0,M82 B9,543,AWZ,2104,SYZ,2157,,0,M82 B9,543,AWZ,2104,THR,2131,,0,M82 B9,543,AZD,2164,MHD,4331,,0,M82 B9,543,BND,2134,MHD,4331,,0,M82 B9,543,GSM,5712,MHD,4331,,0,M82 B9,543,IFN,2121,AWZ,2104,,0,M82 B9,543,IFN,2121,MHD,4331,,0,M82 B9,543,KIH,2109,AWZ,2104,,0,M82 B9,543,KIH,2109,SYZ,2157,,0,M82 B9,543,KSH,2114,MHD,4331,,0,M82 B9,543,KSH,2114,THR,2131,,0,M82 B9,543,MHD,4331,ABD,2097,,0,M82 B9,543,MHD,4331,AWZ,2104,,0,M82 B9,543,MHD,4331,AZD,2164,,0,M82 B9,543,MHD,4331,BND,2134,,0,M82 B9,543,MHD,4331,GSM,5712,,0,M82 B9,543,MHD,4331,IFN,2121,,0,M82 B9,543,MHD,4331,KSH,2114,,0,M82 B9,543,MHD,4331,RAS,2123,,0,M82 B9,543,MHD,4331,SRY,5933,,0,M82 B9,543,MHD,4331,SYZ,2157,,0,M82 B9,543,MHD,4331,TBZ,2162,,0,M82 B9,543,MHD,4331,THR,2131,,0,M82 B9,543,MHD,4331,ZAH,2167,,0,M82 B9,543,RAS,2123,MHD,4331,,0,M82 B9,543,SRY,5933,AWZ,2104,,0,M82 B9,543,SRY,5933,MHD,4331,,0,M82 B9,543,SYZ,2157,AWZ,2104,,0,M82 B9,543,SYZ,2157,KIH,2109,,0,M82 B9,543,SYZ,2157,MHD,4331,,0,M82 B9,543,SYZ,2157,THR,2131,,0,M82 B9,543,TBZ,2162,MHD,4331,,0,M82 B9,543,TBZ,2162,THR,2131,,0,M82 B9,543,THR,2131,ABD,2097,,0,M82 B9,543,THR,2131,AWZ,2104,,0,M82 B9,543,THR,2131,KSH,2114,,0,M82 B9,543,THR,2131,MHD,4331,,0,M82 B9,543,THR,2131,SYZ,2157,,0,M82 B9,543,THR,2131,TBZ,2162,,0,M82 B9,543,ZAH,2167,MHD,4331,,0,M82 BA,1355,AAL,628,AAR,607,Y,0,FRJ BA,1355,AAL,628,OSL,644,Y,0,J31 FRJ BA,1355,AAR,607,AAL,628,Y,0,FRJ BA,1355,AAR,607,BMA,738,Y,0,FRJ BA,1355,AAR,607,GOT,687,Y,0,FRJ BA,1355,AAR,607,OSL,644,Y,0,FRJ BA,1355,ABV,260,LHR,507,,0,777 BA,1355,ABZ,532,LCY,503,Y,0,S20 E70 BA,1355,ABZ,532,LHR,507,,0,321 320 319 BA,1355,ACC,248,LHR,507,,0,744 BA,1355,ACE,1055,LGW,502,,0,320 BA,1355,AGP,1230,LCY,503,Y,0,E90 BA,1355,AGP,1230,LGW,502,,0,319 734 320 BA,1355,AGP,1230,LHR,507,,0,320 BA,1355,ALA,2908,LHR,507,,0,767 BA,1355,ALC,1212,LGW,502,,0,319 734 BA,1355,ALG,210,LGW,502,,0,734 319 BA,1355,AMM,2170,LHR,507,,0,321 BA,1355,AMS,580,LCY,503,Y,0,E90 E70 BA,1355,AMS,580,LGW,502,,0,319 734 BA,1355,AMS,580,LHR,507,,0,320 767 319 321 BA,1355,ANU,2874,LGW,502,,0,777 BA,1355,ANU,2874,PUJ,1760,,0,777 BA,1355,ANU,2874,SKB,2891,,0,777 BA,1355,ANU,2874,TAB,2901,,0,777 BA,1355,ARN,737,LCY,503,Y,0,E70 BA,1355,ARN,737,LHR,507,,0,320 321 319 767 BA,1355,ATH,3941,LHR,507,,0,320 767 BA,1355,ATL,3682,DFW,3670,,0, BA,1355,ATL,3682,LHR,507,,0,777 BA,1355,ATL,3682,MIA,3576,Y,0,738 ERD BA,1355,ATL,3682,ORD,3830,Y,0,E75 CR7 BA,1355,AUH,2179,LHR,507,,0,777 BA,1355,AUH,2179,MCT,2194,,0,777 BA,1355,AUS,3673,LHR,507,,0,788 BA,1355,BAH,2057,DOH,11051,,0,777 BA,1355,BAH,2057,LHR,507,,0,777 BA,1355,BCN,1218,JFK,3797,Y,0,763 BA,1355,BCN,1218,LGW,502,,0,319 734 320 BA,1355,BCN,1218,LHR,507,,0,320 319 321 767 BA,1355,BCN,1218,MIA,3576,Y,0,763 BA,1355,BDA,4069,LGW,502,,0,777 BA,1355,BEY,2177,LHR,507,,0,321 BA,1355,BGI,2875,LGW,502,,0,777 BA,1355,BGO,636,BLL,608,Y,0,J31 BA,1355,BGO,636,LHR,507,,0,319 BA,1355,BHD,467,LHR,507,,0,319 BA,1355,BKK,3885,CNX,3931,Y,0,320 319 BA,1355,BKK,3885,HKT,3179,Y,0,320 BA,1355,BKK,3885,LHR,507,,0,777 BA,1355,BLL,608,BGO,636,Y,0,J31 BA,1355,BLL,608,BRU,302,Y,0,FRJ J31 BA,1355,BLL,608,DUS,345,Y,0,J31 BA,1355,BLL,608,LCY,503,Y,0,D38 BA,1355,BLL,608,MAN,478,Y,0,FRJ BA,1355,BLL,608,MUC,346,Y,0,FRJ BA,1355,BLL,608,OSL,644,Y,0,FRJ BA,1355,BLL,608,ZRH,1678,Y,0,FRJ BA,1355,BLQ,1538,LHR,507,,0,319 320 BA,1355,BLR,3131,LHR,507,,0,777 BA,1355,BMA,738,AAR,607,Y,0,FRJ BA,1355,BNE,3320,CNS,3322,Y,0,333 BA,1355,BOD,1264,LGW,502,,0,734 319 BA,1355,BOM,2997,LHR,507,,0,777 BA,1355,BOS,3448,LHR,507,,0,777 744 BA,1355,BOS,3448,MAD,1229,Y,0,333 BA,1355,BRI,1501,LGW,502,,0,734 BA,1355,BRU,302,BLL,608,Y,0,FRJ J31 BA,1355,BRU,302,LHR,507,,0,319 320 321 BA,1355,BSL,1423,LHR,507,,0,319 320 321 BA,1355,BUD,1489,LHR,507,,0,320 BA,1355,BWI,3849,LHR,507,,0,767 BA,1355,CAI,1128,LHR,507,,0,767 BA,1355,CDG,1382,DFW,3670,Y,0,763 777 BA,1355,CDG,1382,JFK,3797,Y,0,763 757 BA,1355,CDG,1382,LHR,507,,0,319 320 321 BA,1355,CDG,1382,MIA,3576,Y,0,763 BA,1355,CDG,1382,ORD,3830,Y,0,763 BA,1355,CGN,344,TXL,351,Y,0,73G 738 320 319 BA,1355,CMB,3024,MLE,3156,,0,777 BA,1355,CNS,3322,BNE,3320,Y,0,333 BA,1355,CNS,3322,HKG,3077,Y,0,333 BA,1355,CNX,3931,BKK,3885,Y,0,320 319 BA,1355,CPH,609,LHR,507,,0,321 320 319 BA,1355,CPT,797,DUR,799,Y,0,734 733 BA,1355,CPT,797,JNB,813,Y,0,734 738 733 BA,1355,CPT,797,LHR,507,,0,744 777 BA,1355,CPT,797,PLZ,838,Y,0,733 BA,1355,CTA,1509,LGW,502,,0,734 319 BA,1355,CTU,3395,LHR,507,,0,777 788 BA,1355,CUN,1852,LGW,502,,0,777 BA,1355,DBV,1200,LGW,502,,0,734 319 BA,1355,DEL,3093,LHR,507,,0,777 BA,1355,DEN,3751,LHR,507,,0,777 BA,1355,DFW,3670,ATL,3682,Y,0,M80 M83 BA,1355,DFW,3670,CDG,1382,Y,0,763 777 BA,1355,DFW,3670,FRA,340,Y,0,777 BA,1355,DFW,3670,LHR,507,,0,744 BA,1355,DFW,3670,MAD,1229,Y,0,777 BA,1355,DFW,3670,MEX,1824,Y,0,M80 M83 BA,1355,DFW,3670,MLM,1821,Y,0,ER4 BA,1355,DFW,3670,MSY,3861,Y,0,M83 M80 BA,1355,DME,4029,LHR,507,,0,767 321 744 BA,1355,DOH,11051,BAH,2057,,0,777 BA,1355,DUB,599,JFK,3797,Y,0,757 BA,1355,DUB,599,LHR,507,,0,319 BA,1355,DUB,599,ORD,3830,Y,0,763 BA,1355,DUR,799,CPT,797,Y,0,734 733 BA,1355,DUR,799,JNB,813,Y,0,734 733 BA,1355,DUR,799,PLZ,838,Y,0,733 BA,1355,DUS,345,BLL,608,Y,0,J31 BA,1355,DUS,345,LCY,503,,0,AR8 E70 BA,1355,DUS,345,LHR,507,,0,319 320 BA,1355,DUS,345,ORD,3830,Y,0,763 BA,1355,DXB,2188,LHR,507,,0,744 777 BA,1355,EBB,1187,LHR,507,,0,767 BA,1355,EDI,535,LCY,503,Y,0,E90 E70 BA,1355,EDI,535,LGW,502,,0,734 319 BA,1355,EDI,535,LHR,507,,0,767 320 319 321 BA,1355,EWR,3494,LHR,507,,0,777 788 BA,1355,EWR,3494,ORY,1386,Y,0,752 BA,1355,EZE,3988,LHR,507,,0,777 BA,1355,FAO,1626,LGW,502,,0,319 734 320 BA,1355,FAO,1626,LHR,507,,0,320 BA,1355,FCO,1555,JFK,3797,Y,0,763 BA,1355,FCO,1555,LGW,502,,0,734 320 319 BA,1355,FCO,1555,LHR,507,,0,321 767 320 319 BA,1355,FCO,1555,ORD,3830,Y,0,763 BA,1355,FLR,1563,LCY,503,,0,E70 E90 BA,1355,FNA,1059,LHR,507,,0,767 BA,1355,FNA,1059,ROB,1063,,0,767 BA,1355,FRA,340,ATL,3682,,0, BA,1355,FRA,340,DFW,3670,Y,0,777 BA,1355,FRA,340,LCY,503,Y,0,E70 E90 AR8 BA,1355,FRA,340,LHR,507,,0,320 767 319 BA,1355,GCM,1926,NAS,1953,,0,767 BA,1355,GIB,1738,LHR,507,,0,320 BA,1355,GIG,2560,LHR,507,,0,777 BA,1355,GLA,534,LCY,503,Y,0,E90 E70 BA,1355,GLA,534,LGW,502,,0,734 319 BA,1355,GLA,534,LHR,507,,0,319 321 320 767 BA,1355,GND,2882,UVF,2894,,0,777 BA,1355,GOA,1528,LGW,502,,0,320 319 734 BA,1355,GOT,687,AAR,607,Y,0,FRJ BA,1355,GOT,687,LHR,507,,0,320 321 319 BA,1355,GOT,687,MAN,478,Y,0,FRJ BA,1355,GRU,2564,LHR,507,,0,744 BA,1355,GRX,1223,LCY,503,,0,E90 BA,1355,GUA,1767,SAL,1892,Y,0,343 BA,1355,GVA,1665,LHR,507,,0,320 319 321 BA,1355,GYD,2922,LHR,507,,0,321 BA,1355,HAJ,352,LHR,507,,0,319 BA,1355,HAM,342,LHR,507,,0,320 319 321 BA,1355,HEL,421,JFK,3797,Y,0,333 BA,1355,HEL,421,LHR,507,,0,320 BA,1355,HEL,421,MAN,478,Y,0,E90 BA,1355,HEL,421,VNO,3959,Y,0,E70 BA,1355,HEL,421,WAW,679,Y,0,E90 BA,1355,HKG,3077,CNS,3322,Y,0,333 BA,1355,HKG,3077,LHR,507,,0,388 777 BA,1355,HKT,3179,BKK,3885,Y,0,320 BA,1355,HND,2359,LHR,507,,0,777 BA,1355,HRE,1005,JNB,813,Y,0,734 733 BA,1355,HYD,\N,LHR,507,,0,767 BA,1355,IAD,3714,LHR,507,,0,744 777 BA,1355,IAH,3550,LHR,507,,0,744 777 BA,1355,IBZ,1225,LCY,503,Y,0,E70 E90 BA,1355,IBZ,1225,LHR,507,,0,319 320 BA,1355,ICN,3930,LHR,507,,0,777 BA,1355,IOM,520,LCY,503,Y,0,S20 BA,1355,IST,1701,LHR,507,,0,320 767 BA,1355,JED,2072,LHR,507,,0,777 BA,1355,JER,499,LGW,502,,0,319 734 BA,1355,JFK,3797,BCN,1218,Y,0,763 BA,1355,JFK,3797,CDG,1382,Y,0,763 757 BA,1355,JFK,3797,DUB,599,Y,0,757 BA,1355,JFK,3797,FCO,1555,Y,0,763 BA,1355,JFK,3797,HEL,421,Y,0,333 BA,1355,JFK,3797,LCY,503,Y,0,318 BA,1355,JFK,3797,LHR,507,,0,777 744 BA,1355,JFK,3797,MAD,1229,Y,0,333 757 346 BA,1355,JFK,3797,MAN,478,Y,0,757 BA,1355,JFK,3797,MXP,1524,Y,0,763 BA,1355,JFK,3797,ORY,1386,Y,0,752 BA,1355,JMK,1468,LHR,507,,0,320 BA,1355,JNB,813,CPT,797,Y,0,738 734 733 BA,1355,JNB,813,DUR,799,Y,0,733 734 BA,1355,JNB,813,HRE,1005,Y,0,734 733 BA,1355,JNB,813,LHR,507,,0,388 744 BA,1355,JNB,813,LVI,906,Y,0,734 BA,1355,JNB,813,MRU,893,Y,0,733 BA,1355,JNB,813,PLZ,838,Y,0,734 733 BA,1355,JNB,813,VFA,1004,Y,0,734 BA,1355,JNB,813,WDH,4105,Y,0,738 734 BA,1355,JTR,1479,LHR,507,,0,320 BA,1355,KBP,2939,LHR,507,,0,320 BA,1355,KIN,1779,LGW,502,,0,777 BA,1355,KWI,2176,LHR,507,,0,744 BA,1355,LAD,951,LHR,507,,0,777 BA,1355,LAS,3877,LGW,502,,0,777 BA,1355,LAS,3877,LHR,507,,0,744 BA,1355,LAX,3484,LHR,507,,0,744 388 BA,1355,LAX,3484,MAD,1229,Y,0,346 343 BA,1355,LBA,517,LHR,507,,0,319 BA,1355,LCA,1197,LGW,502,,0,320 BA,1355,LCA,1197,LHR,507,,0,767 BA,1355,LCY,503,ABZ,532,Y,0,E70 S20 BA,1355,LCY,503,AGP,1230,Y,0,E90 BA,1355,LCY,503,AMS,580,Y,0,E90 E70 BA,1355,LCY,503,ARN,737,Y,0,E70 BA,1355,LCY,503,BLL,608,Y,0,D38 BA,1355,LCY,503,DUS,345,,0,AR8 E70 BA,1355,LCY,503,EDI,535,Y,0,E90 E70 BA,1355,LCY,503,FLR,1563,,0,E70 E90 BA,1355,LCY,503,FRA,340,Y,0,E70 E90 AR8 BA,1355,LCY,503,GLA,534,Y,0,E90 E70 BA,1355,LCY,503,GRX,1223,,0,E90 BA,1355,LCY,503,IBZ,1225,Y,0,E70 E90 BA,1355,LCY,503,IOM,520,Y,0,S20 BA,1355,LCY,503,MAD,1229,Y,0,E90 BA,1355,LCY,503,MAH,1231,Y,0,E90 BA,1355,LCY,503,NCE,1354,Y,0,E70 E90 BA,1355,LCY,503,PMI,3998,Y,0,E90 BA,1355,LCY,503,RTM,591,Y,0,S20 BA,1355,LCY,503,VCE,1551,Y,0,E90 E70 BA,1355,LCY,503,ZRH,1678,Y,0,E90 E70 BA,1355,LED,2948,LHR,507,,0,321 BA,1355,LGW,502,ACE,1055,,0,320 BA,1355,LGW,502,AGP,1230,,0,319 734 320 BA,1355,LGW,502,ALC,1212,,0,319 734 BA,1355,LGW,502,ALG,210,,0,734 319 BA,1355,LGW,502,AMS,580,,0,319 734 BA,1355,LGW,502,ANU,2874,,0,777 BA,1355,LGW,502,BCN,1218,,0,319 734 320 BA,1355,LGW,502,BDA,4069,,0,777 BA,1355,LGW,502,BGI,2875,,0,777 BA,1355,LGW,502,BOD,1264,,0,734 319 BA,1355,LGW,502,BRI,1501,,0,734 BA,1355,LGW,502,CTA,1509,,0,734 319 BA,1355,LGW,502,CUN,1852,,0,777 BA,1355,LGW,502,DBV,1200,,0,734 319 BA,1355,LGW,502,EDI,535,,0,734 319 BA,1355,LGW,502,FAO,1626,,0,319 734 320 BA,1355,LGW,502,FCO,1555,,0,734 320 319 BA,1355,LGW,502,GLA,534,,0,734 319 BA,1355,LGW,502,GOA,1528,,0,320 319 734 BA,1355,LGW,502,JER,499,,0,734 319 BA,1355,LGW,502,KIN,1779,,0,777 BA,1355,LGW,502,LAS,3877,,0,777 BA,1355,LGW,502,LCA,1197,,0,320 BA,1355,LGW,502,MCO,3878,,0,777 BA,1355,LGW,502,MLA,1606,,0,319 734 BA,1355,LGW,502,MLE,3156,,0,777 BA,1355,LGW,502,MRU,893,,0,777 BA,1355,LGW,502,NAP,1561,,0,320 734 319 BA,1355,LGW,502,NCE,1354,,0,320 734 319 BA,1355,LGW,502,NQY,481,Y,0,DH4 BA,1355,LGW,502,OLB,1520,Y,0,737 BA,1355,LGW,502,PFO,1198,,0,319 BA,1355,LGW,502,PSA,1562,,0,734 319 BA,1355,LGW,502,RAK,1075,,0,734 319 320 BA,1355,LGW,502,SKG,1486,,0,734 BA,1355,LGW,502,SZG,1612,,0,734 BA,1355,LGW,502,TFS,1056,,0,320 BA,1355,LGW,502,TIA,1190,,0,734 BA,1355,LGW,502,TPA,3646,,0,777 BA,1355,LGW,502,TRN,1526,,0,319 320 734 BA,1355,LGW,502,UVF,2894,,0,777 BA,1355,LGW,502,VCE,1551,,0,734 319 320 BA,1355,LGW,502,VRN,1550,,0,734 319 320 BA,1355,LHR,507,ABV,260,,0,777 BA,1355,LHR,507,ABZ,532,,0,320 319 321 BA,1355,LHR,507,ACC,248,,0,744 BA,1355,LHR,507,AGP,1230,,0,320 BA,1355,LHR,507,ALA,2908,,0,767 BA,1355,LHR,507,AMM,2170,,0,321 BA,1355,LHR,507,AMS,580,,0,767 320 319 321 BA,1355,LHR,507,ARN,737,,0,321 319 767 320 BA,1355,LHR,507,ATH,3941,,0,767 320 BA,1355,LHR,507,ATL,3682,,0,777 BA,1355,LHR,507,AUH,2179,,0,777 BA,1355,LHR,507,AUS,3673,,0,788 BA,1355,LHR,507,BAH,2057,,0,777 BA,1355,LHR,507,BCN,1218,,0,319 320 321 767 BA,1355,LHR,507,BEY,2177,,0,321 BA,1355,LHR,507,BGO,636,,0,319 BA,1355,LHR,507,BHD,467,,0,319 BA,1355,LHR,507,BKK,3885,,0,777 BA,1355,LHR,507,BLQ,1538,,0,320 319 BA,1355,LHR,507,BLR,3131,,0,777 BA,1355,LHR,507,BOM,2997,,0,777 BA,1355,LHR,507,BOS,3448,,0,744 777 BA,1355,LHR,507,BRU,302,,0,320 319 321 BA,1355,LHR,507,BSL,1423,,0,319 320 321 BA,1355,LHR,507,BUD,1489,,0,320 BA,1355,LHR,507,BWI,3849,,0,767 BA,1355,LHR,507,CAI,1128,,0,767 BA,1355,LHR,507,CDG,1382,,0,320 319 321 BA,1355,LHR,507,CPH,609,,0,321 320 319 BA,1355,LHR,507,CPT,797,,0,744 777 BA,1355,LHR,507,CTU,3395,,0,788 BA,1355,LHR,507,DEL,3093,,0,777 BA,1355,LHR,507,DEN,3751,,0,777 BA,1355,LHR,507,DFW,3670,,0,744 BA,1355,LHR,507,DME,4029,,0,321 767 744 BA,1355,LHR,507,DUB,599,,0,319 BA,1355,LHR,507,DUS,345,,0,319 320 BA,1355,LHR,507,DXB,2188,,0,744 777 BA,1355,LHR,507,EBB,1187,,0,767 BA,1355,LHR,507,EDI,535,,0,319 767 321 320 BA,1355,LHR,507,EWR,3494,,0,777 788 BA,1355,LHR,507,EZE,3988,,0,777 BA,1355,LHR,507,FAO,1626,,0,320 BA,1355,LHR,507,FCO,1555,,0,767 321 320 319 BA,1355,LHR,507,FNA,1059,,0,767 BA,1355,LHR,507,FRA,340,,0,767 319 320 BA,1355,LHR,507,GIB,1738,,0,320 BA,1355,LHR,507,GIG,2560,,0,777 BA,1355,LHR,507,GLA,534,,0,320 319 321 767 BA,1355,LHR,507,GOT,687,,0,320 321 319 BA,1355,LHR,507,GRU,2564,,0,744 BA,1355,LHR,507,GVA,1665,,0,319 320 321 BA,1355,LHR,507,GYD,2922,,0,321 BA,1355,LHR,507,HAJ,352,,0,319 BA,1355,LHR,507,HAM,342,,0,319 321 320 BA,1355,LHR,507,HEL,421,,0,320 BA,1355,LHR,507,HKG,3077,,0,388 777 BA,1355,LHR,507,HND,2359,,0,777 773 BA,1355,LHR,507,HYD,\N,,0,767 BA,1355,LHR,507,IAD,3714,,0,744 777 BA,1355,LHR,507,IAH,3550,,0,744 777 BA,1355,LHR,507,IBZ,1225,,0,319 320 BA,1355,LHR,507,ICN,3930,,0,777 BA,1355,LHR,507,IST,1701,,0,320 767 BA,1355,LHR,507,JED,2072,,0,777 BA,1355,LHR,507,JFK,3797,,0,744 777 BA,1355,LHR,507,JMK,1468,,0,320 BA,1355,LHR,507,JNB,813,,0,388 744 BA,1355,LHR,507,JTR,1479,,0,320 BA,1355,LHR,507,KBP,2939,,0,320 BA,1355,LHR,507,KWI,2176,,0,744 BA,1355,LHR,507,LAD,951,,0,777 BA,1355,LHR,507,LAS,3877,,0,744 BA,1355,LHR,507,LAX,3484,,0,744 388 BA,1355,LHR,507,LBA,517,,0,319 BA,1355,LHR,507,LCA,1197,,0,767 BA,1355,LHR,507,LED,2948,,0,321 BA,1355,LHR,507,LIN,1529,,0,319 320 321 BA,1355,LHR,507,LIS,1638,,0,320 BA,1355,LHR,507,LOS,273,,0,744 BA,1355,LHR,507,LUX,629,,0,319 BA,1355,LHR,507,LYS,1335,,0,319 BA,1355,LHR,507,MAA,3144,,0,777 BA,1355,LHR,507,MAD,1229,,0,767 320 319 321 BA,1355,LHR,507,MAN,478,,0,319 320 321 BA,1355,LHR,507,MEX,1824,,0,744 BA,1355,LHR,507,MIA,3576,,0,744 BA,1355,LHR,507,MRS,1353,,0,319 320 BA,1355,LHR,507,MUC,346,,0,320 321 319 BA,1355,LHR,507,MXP,1524,,0,319 320 321 BA,1355,LHR,507,NAS,1953,,0,767 BA,1355,LHR,507,NBO,4059,,0,744 BA,1355,LHR,507,NCE,1354,,0,320 321 319 BA,1355,LHR,507,NCL,521,,0,319 321 320 BA,1355,LHR,507,NRT,2279,,0,777 BA,1355,LHR,507,OPO,1636,,0,320 319 BA,1355,LHR,507,ORD,3830,,0,744 777 BA,1355,LHR,507,ORY,1386,,0,319 320 BA,1355,LHR,507,OSL,644,,0,319 320 321 BA,1355,LHR,507,OTP,1657,,0,320 BA,1355,LHR,507,PEK,3364,,0,744 BA,1355,LHR,507,PHL,3752,,0,777 767 BA,1355,LHR,507,PHX,3462,,0,744 BA,1355,LHR,507,PMI,3998,,0,319 320 BA,1355,LHR,507,PRG,1587,,0,320 BA,1355,LHR,507,PSA,1562,,0,320 321 BA,1355,LHR,507,PVG,3406,,0,777 BA,1355,LHR,507,RDU,3626,Y,0,763 BA,1355,LHR,507,RTM,591,,0,319 BA,1355,LHR,507,RUH,2082,,0,744 777 BA,1355,LHR,507,SAN,3731,,0,777 BA,1355,LHR,507,SEA,3577,,0,744 777 BA,1355,LHR,507,SFO,3469,,0,744 BA,1355,LHR,507,SIN,3316,,0,744 777 BA,1355,LHR,507,SOF,1194,,0,320 BA,1355,LHR,507,STR,350,,0,319 321 320 BA,1355,LHR,507,SVG,666,,0,319 BA,1355,LHR,507,TIP,1157,,0,320 BA,1355,LHR,507,TLS,1273,,0,319 320 321 BA,1355,LHR,507,TLV,1590,,0,777 321 BA,1355,LHR,507,TXL,351,,0,320 321 319 BA,1355,LHR,507,VCE,1551,,0,320 319 BA,1355,LHR,507,VIE,1613,,0,320 319 BA,1355,LHR,507,WAW,679,,0,320 BA,1355,LHR,507,YUL,146,,0,777 BA,1355,LHR,507,YVR,156,,0,744 BA,1355,LHR,507,YYC,178,,0,767 BA,1355,LHR,507,YYZ,193,,0,788 744 BA,1355,LHR,507,ZAG,1208,,0,319 320 BA,1355,LHR,507,ZRH,1678,,0,319 320 321 BA,1355,LIN,1529,LHR,507,,0,321 319 320 BA,1355,LIS,1638,LHR,507,,0,320 BA,1355,LOS,273,LHR,507,,0,744 BA,1355,LUX,629,LHR,507,,0,319 BA,1355,LVI,906,JNB,813,Y,0,734 BA,1355,LYS,1335,LHR,507,,0,319 BA,1355,MAA,3144,LHR,507,,0,777 BA,1355,MAD,1229,BOS,3448,Y,0,333 BA,1355,MAD,1229,DFW,3670,Y,0,777 BA,1355,MAD,1229,JFK,3797,Y,0,757 333 346 BA,1355,MAD,1229,LAX,3484,Y,0,346 343 BA,1355,MAD,1229,LCY,503,Y,0,E90 BA,1355,MAD,1229,LHR,507,,0,767 320 319 321 BA,1355,MAD,1229,MIA,3576,Y,0,763 333 346 BA,1355,MAD,1229,ORD,3830,Y,0,333 BA,1355,MAH,1231,LCY,503,Y,0,E90 BA,1355,MAN,478,BLL,608,Y,0,FRJ BA,1355,MAN,478,GOT,687,Y,0,FRJ BA,1355,MAN,478,HEL,421,Y,0,E90 BA,1355,MAN,478,JFK,3797,Y,0,757 BA,1355,MAN,478,LHR,507,,0,319 320 321 BA,1355,MAN,478,ORD,3830,Y,0,763 BA,1355,MCO,3878,LGW,502,,0,777 BA,1355,MCT,2194,AUH,2179,,0,777 BA,1355,MEX,1824,DFW,3670,Y,0,M80 BA,1355,MEX,1824,LHR,507,,0,744 BA,1355,MEX,1824,MIA,3576,Y,0,738 BA,1355,MIA,3576,ATL,3682,Y,0,ER4 738 BA,1355,MIA,3576,BCN,1218,Y,0,763 BA,1355,MIA,3576,CDG,1382,Y,0,763 BA,1355,MIA,3576,CUR,2897,Y,0,738 BA,1355,MIA,3576,LHR,507,,0,744 BA,1355,MIA,3576,MAD,1229,Y,0,333 763 346 BA,1355,MIA,3576,MEX,1824,Y,0,738 BA,1355,MIA,3576,MSY,3861,Y,0,738 BA,1355,MIA,3576,MXP,1524,Y,0,763 BA,1355,MIA,3576,STT,2883,Y,0,757 BA,1355,MLA,1606,LGW,502,,0,319 734 BA,1355,MLE,3156,CMB,3024,,0,777 BA,1355,MLE,3156,LGW,502,,0,777 BA,1355,MLM,1821,DFW,3670,Y,0,ER4 BA,1355,MRS,1353,LHR,507,,0,319 320 BA,1355,MRU,893,JNB,813,Y,0,733 BA,1355,MRU,893,LGW,502,,0,777 BA,1355,MSY,3861,DFW,3670,Y,0,M80 M83 BA,1355,MSY,3861,MIA,3576,Y,0,738 BA,1355,MSY,3861,ORD,3830,Y,0,E75 BA,1355,MUC,346,BLL,608,Y,0,FRJ BA,1355,MUC,346,LHR,507,,0,321 320 319 BA,1355,MXP,1524,JFK,3797,Y,0,763 BA,1355,MXP,1524,LHR,507,,0,319 320 321 BA,1355,MXP,1524,MIA,3576,Y,0,763 BA,1355,NAP,1561,LGW,502,,0,320 734 319 BA,1355,NAS,1953,GCM,1926,,0,767 BA,1355,NAS,1953,LHR,507,,0,767 BA,1355,NAS,1953,PLS,1754,,0,767 BA,1355,NBO,4059,LHR,507,,0,744 BA,1355,NCE,1354,LCY,503,Y,0,E70 E90 BA,1355,NCE,1354,LGW,502,,0,319 320 734 BA,1355,NCE,1354,LHR,507,,0,319 320 321 BA,1355,NCL,521,LHR,507,,0,319 321 320 BA,1355,NQY,481,LGW,502,Y,0,DH4 BA,1355,NRT,2279,LHR,507,,0,777 BA,1355,OLB,1520,LGW,502,Y,0,737 BA,1355,OPO,1636,LHR,507,,0,320 319 BA,1355,ORD,3830,ATL,3682,Y,0,E75 CR7 74N BA,1355,ORD,3830,CDG,1382,Y,0,763 BA,1355,ORD,3830,DUB,599,Y,0,763 BA,1355,ORD,3830,DUS,345,Y,0,763 BA,1355,ORD,3830,FCO,1555,Y,0,763 BA,1355,ORD,3830,LHR,507,,0,744 777 BA,1355,ORD,3830,MAD,1229,Y,0,333 BA,1355,ORD,3830,MAN,478,Y,0,763 BA,1355,ORD,3830,MSY,3861,Y,0,E75 BA,1355,ORY,1386,EWR,3494,Y,0,752 BA,1355,ORY,1386,JFK,3797,Y,0,752 BA,1355,ORY,1386,LHR,507,,0,319 320 BA,1355,OSL,644,AAL,628,Y,0,J31 FRJ BA,1355,OSL,644,AAR,607,Y,0,FRJ BA,1355,OSL,644,BLL,608,Y,0,FRJ BA,1355,OSL,644,LHR,507,,0,319 320 321 BA,1355,OTP,1657,LHR,507,,0,320 BA,1355,PEK,3364,LHR,507,,0,744 BA,1355,PFO,1198,LGW,502,,0,319 BA,1355,PHL,3752,LHR,507,,0,777 767 BA,1355,PHX,3462,LHR,507,,0,744 BA,1355,PLS,1754,NAS,1953,,0,767 BA,1355,PLZ,838,CPT,797,Y,0,733 BA,1355,PLZ,838,DUR,799,Y,0,733 BA,1355,PLZ,838,JNB,813,Y,0,733 734 BA,1355,PMI,3998,LCY,503,Y,0,E90 BA,1355,PMI,3998,LHR,507,,0,319 320 BA,1355,POS,2902,UVF,2894,,0,777 BA,1355,PRG,1587,LHR,507,,0,320 BA,1355,PSA,1562,LGW,502,,0,734 319 BA,1355,PSA,1562,LHR,507,,0,320 321 BA,1355,PUJ,1760,ANU,2874,,0,777 BA,1355,PVG,3406,LHR,507,,0,777 BA,1355,RAK,1075,LGW,502,,0,734 319 320 BA,1355,RDU,3626,LHR,507,Y,0,763 BA,1355,ROB,1063,FNA,1059,,0,767 BA,1355,RTM,591,LCY,503,Y,0,S20 BA,1355,RTM,591,LHR,507,,0,319 BA,1355,RUH,2082,LHR,507,,0,744 777 BA,1355,SAL,1892,MAD,1229,Y,0,342 BA,1355,SAN,3731,LHR,507,,0,777 BA,1355,SEA,3577,LHR,507,,0,744 777 BA,1355,SFO,3469,LHR,507,,0,744 BA,1355,SIN,3316,LHR,507,,0,744 777 BA,1355,SIN,3316,SYD,3361,,0,777 BA,1355,SJO,1885,MIA,3576,Y,0,757 738 BA,1355,SKB,2891,ANU,2874,,0,777 BA,1355,SKG,1486,LGW,502,,0,734 BA,1355,SOF,1194,LHR,507,,0,320 BA,1355,STR,350,LHR,507,,0,319 321 320 BA,1355,STT,2883,MIA,3576,Y,0,757 BA,1355,SVG,666,LHR,507,,0,319 BA,1355,SYD,3361,SIN,3316,,0,777 BA,1355,SZG,1612,LGW,502,,0,734 BA,1355,TAB,2901,ANU,2874,,0,777 BA,1355,TFS,1056,LGW,502,,0,320 BA,1355,TIA,1190,LGW,502,,0,734 BA,1355,TIP,1157,LHR,507,,0,320 BA,1355,TLS,1273,LHR,507,,0,320 319 321 BA,1355,TLV,1590,LHR,507,,0,321 777 BA,1355,TPA,3646,LGW,502,,0,777 BA,1355,TRN,1526,LGW,502,,0,319 320 734 BA,1355,TXL,351,LHR,507,,0,320 321 319 BA,1355,UVF,2894,GND,2882,,0,777 BA,1355,UVF,2894,LGW,502,,0,777 BA,1355,UVF,2894,POS,2902,,0,777 BA,1355,VCE,1551,LCY,503,Y,0,E90 E70 BA,1355,VCE,1551,LGW,502,,0,734 319 320 BA,1355,VCE,1551,LHR,507,,0,320 319 BA,1355,VFA,1004,JNB,813,Y,0,734 BA,1355,VIE,1613,LHR,507,,0,320 319 BA,1355,VNO,3959,HEL,421,Y,0,E90 BA,1355,VRN,1550,LGW,502,,0,734 319 320 BA,1355,WAW,679,HEL,421,Y,0,E70 BA,1355,WAW,679,LHR,507,,0,320 BA,1355,WDH,4105,JNB,813,Y,0,738 734 BA,1355,YUL,146,LHR,507,,0,777 BA,1355,YVR,156,LHR,507,,0,744 BA,1355,YYC,178,LHR,507,,0,767 BA,1355,YYZ,193,LHR,507,,0,788 744 BA,1355,ZAG,1208,LHR,507,,0,319 320 BA,1355,ZRH,1678,BLL,608,Y,0,FRJ BA,1355,ZRH,1678,LCY,503,Y,0,E90 E70 BA,1355,ZRH,1678,LHR,507,,0,320 319 321 BB,4335,DOM,2877,SJU,2890,,0,SF3 BB,4335,EIS,2903,SJU,2890,,0,SF3 BB,4335,FDF,2878,SJU,2890,,0,SF3 BB,4335,LRM,1759,SJU,2890,,0,SF3 BB,4335,NEV,6079,SKB,2891,,0,SF3 BB,4335,PTP,2881,SJU,2890,,0,SF3 BB,4335,PUJ,1760,SJU,2890,,0,SF3 BB,4335,SDQ,1762,SJU,2890,,0,SF3 BB,4335,SJU,2890,DOM,2877,,0,SF3 BB,4335,SJU,2890,EIS,2903,,0,SF3 BB,4335,SJU,2890,FDF,2878,,0,SF3 BB,4335,SJU,2890,LRM,1759,,0,SF3 BB,4335,SJU,2890,PTP,2881,,0,SF3 BB,4335,SJU,2890,PUJ,1760,,0,SF3 BB,4335,SJU,2890,SDQ,1762,,0,SF3 BB,4335,SJU,2890,SKB,2891,,0,SF3 BB,4335,SJU,2890,STI,1764,,0,SF3 BB,4335,SJU,2890,STT,2883,,0,DHT SF3 BB,4335,SJU,2890,STX,2884,,0,SF3 DHT BB,4335,SJU,2890,SXM,2899,,0,SF3 BB,4335,SJU,2890,VIJ,6080,,0,DHT BB,4335,SJU,2890,VQS,6788,,0,DHT BB,4335,SKB,2891,NEV,6079,,0,SF3 BB,4335,SKB,2891,SJU,2890,,0,SF3 BB,4335,SPB,7309,SSB,7310,,0,DHT BB,4335,SSB,7310,SPB,7309,,0,DHT BB,4335,STI,1764,SJU,2890,,0,SF3 BB,4335,STT,2883,SJU,2890,,0,SF3 DHT BB,4335,STT,2883,STX,2884,,0,DHT BB,4335,STX,2884,SJU,2890,,0,SF3 DHT BB,4335,STX,2884,STT,2883,,0,DHT BB,4335,SXM,2899,SJU,2890,,0,SF3 BB,4335,VIJ,6080,SJU,2890,,0,DHT BB,4335,VQS,6788,SJU,2890,,0,DHT BC,4740,CTS,2287,FUK,2305,,0,737 BC,4740,CTS,2287,HND,2359,,0,737 BC,4740,CTS,2287,IBR,2281,,0,737 BC,4740,CTS,2287,NGO,3942,,0,737 BC,4740,CTS,2287,NRT,2279,,0,737 BC,4740,CTS,2287,SDJ,2347,,0,737 BC,4740,CTS,2287,UKB,3943,,0,737 BC,4740,CTS,2287,YGJ,2330,,0,737 BC,4740,FUK,2305,CTS,2287,,0,737 BC,4740,FUK,2305,HND,2359,,0,737 BC,4740,FUK,2305,IBR,2281,,0,737 BC,4740,FUK,2305,OKA,2384,,0,737 BC,4740,FUK,2305,SDJ,2347,,0,737 BC,4740,HND,2359,CTS,2287,,0,737 BC,4740,HND,2359,FUK,2305,,0,737 BC,4740,HND,2359,KOJ,2307,,0,737 BC,4740,HND,2359,OKA,2384,,0,737 BC,4740,HND,2359,UKB,3943,,0,737 BC,4740,HND,2359,YGJ,2330,,0,737 BC,4740,IBR,2281,CTS,2287,,0,737 BC,4740,IBR,2281,FUK,2305,,0,737 BC,4740,IBR,2281,NGO,3942,,0,737 BC,4740,IBR,2281,UKB,3943,,0,737 BC,4740,ISG,2387,OKA,2384,,0,737 BC,4740,KOJ,2307,HND,2359,,0,737 BC,4740,KOJ,2307,UKB,3943,,0,737 BC,4740,MMY,2390,OKA,2384,,0,737 BC,4740,NGO,3942,CTS,2287,,0,737 BC,4740,NGO,3942,IBR,2281,,0,737 BC,4740,NGO,3942,OKA,2384,,0,737 BC,4740,NGS,2313,UKB,3943,,0,737 BC,4740,NRT,2279,CTS,2287,,0,737 BC,4740,NRT,2279,OKA,2384,,0,737 BC,4740,NRT,2279,YGJ,2330,,0,737 BC,4740,OKA,2384,FUK,2305,,0,737 BC,4740,OKA,2384,HND,2359,,0,737 BC,4740,OKA,2384,ISG,2387,,0,737 BC,4740,OKA,2384,MMY,2390,,0,737 BC,4740,OKA,2384,NGO,3942,,0,737 BC,4740,OKA,2384,NRT,2279,,0,737 BC,4740,OKA,2384,UKB,3943,,0,737 BC,4740,OKA,2384,YGJ,2330,,0,737 BC,4740,SDJ,2347,CTS,2287,,0,737 BC,4740,SDJ,2347,FUK,2305,,0,737 BC,4740,SDJ,2347,UKB,3943,,0,737 BC,4740,UKB,3943,CTS,2287,,0,737 BC,4740,UKB,3943,HND,2359,,0,737 BC,4740,UKB,3943,IBR,2281,,0,737 BC,4740,UKB,3943,KOJ,2307,,0,737 BC,4740,UKB,3943,NGS,2313,,0,737 BC,4740,UKB,3943,OKA,2384,,0,737 BC,4740,UKB,3943,SDJ,2347,,0,737 BC,4740,UKB,3943,YGJ,2330,,0,737 BC,4740,YGJ,2330,CTS,2287,,0,737 BC,4740,YGJ,2330,HND,2359,,0,737 BC,4740,YGJ,2330,NRT,2279,,0,737 BC,4740,YGJ,2330,OKA,2384,,0,737 BC,4740,YGJ,2330,UKB,3943,,0,737 BE,2421,ABZ,532,BHD,467,,0,DH4 BE,2421,ABZ,532,BHX,469,,0,E75 DH4 BE,2421,ABZ,532,CDG,1382,Y,0,EMJ BE,2421,ABZ,532,KOI,529,Y,0,S20 SF3 BE,2421,ABZ,532,LSI,530,Y,0,SF3 S20 BE,2421,ABZ,532,MAN,478,,0,E75 DH4 BE,2421,AGP,1230,EXT,552,,0,E95 BE,2421,AGP,1230,SOU,495,,0,E95 BE,2421,ALC,1212,BHX,469,,0,E75 BE,2421,ALC,1212,EXT,552,,0,E95 BE,2421,ALC,1212,SOU,495,,0,E95 BE,2421,AMS,580,BHX,469,,0,E75 DH4 BE,2421,AMS,580,EMA,523,,0,DH4 BE,2421,AMS,580,EXT,552,,0,DH4 BE,2421,AMS,580,INV,533,,0,DH4 BE,2421,AMS,580,SOU,495,,0,DH4 E75 BE,2421,BEB,538,GLA,534,Y,0,SF3 BE,2421,BEB,538,SYY,541,Y,0,SF3 BE,2421,BES,1403,SOU,495,,0,DH4 BE,2421,BHD,467,ABZ,532,,0,DH4 BE,2421,BHD,467,BHX,469,,0,DH4 E75 BE,2421,BHD,467,CWL,488,,0,DH4 BE,2421,BHD,467,EDI,535,,0,DH4 BE,2421,BHD,467,EMA,523,,0,DH4 BE,2421,BHD,467,EXT,552,,0,DH4 BE,2421,BHD,467,GLA,534,,0,DH4 BE,2421,BHD,467,INV,533,,0,DH4 BE,2421,BHD,467,LBA,517,,0,DH4 BE,2421,BHD,467,MAN,478,,0,E75 DH4 BE,2421,BHD,467,NCL,521,,0,DH4 BE,2421,BHD,467,SOU,495,,0,DH4 BE,2421,BHX,469,ABZ,532,,0,E75 DH4 BE,2421,BHX,469,ALC,1212,,0,E75 BE,2421,BHX,469,AMS,580,,0,E75 DH4 BE,2421,BHX,469,BHD,467,,0,DH4 E75 BE,2421,BHX,469,CDG,1382,,0,E95 BE,2421,BHX,469,CGN,344,,0,DH4 E75 BE,2421,BHX,469,DBV,1200,,0,E75 BE,2421,BHX,469,DUS,345,,0,E75 DH4 E95 BE,2421,BHX,469,EDI,535,,0,DH4 E75 BE,2421,BHX,469,FLR,1563,,0,E75 BE,2421,BHX,469,GCI,498,,0,DH4 BE,2421,BHX,469,GLA,534,,0,DH4 E75 BE,2421,BHX,469,HAJ,352,,0,E75 BE,2421,BHX,469,INV,533,,0,DH4 E75 BE,2421,BHX,469,IOM,520,,0,DH4 BE,2421,BHX,469,JER,499,,0,DH4 E75 BE,2421,BHX,469,LYS,1335,,0,E75 BE,2421,BHX,469,MXP,1524,,0,E75 BE,2421,BHX,469,NOC,600,,0,DH4 BE,2421,BHX,469,OPO,1636,,0,E75 BE,2421,BHX,469,STR,350,,0,E75 DH4 BE,2421,BHX,469,WAT,605,,0,DH4 BE,2421,BRR,5575,GLA,534,Y,0,DHT BE,2421,CAL,5563,GLA,534,Y,0,DHT BE,2421,CDG,1382,ABZ,532,Y,0,EMJ BE,2421,CDG,1382,BHX,469,,0,E95 BE,2421,CDG,1382,EDI,535,Y,0,ARJ BE,2421,CDG,1382,EXT,552,,0,DH4 BE,2421,CDG,1382,MAN,478,,0,E75 DH4 BE,2421,CDG,1382,NCL,521,Y,0,ARJ BE,2421,CFN,5577,DUB,599,Y,0,SF3 BE,2421,CFN,5577,GLA,534,Y,0,SF3 BE,2421,CGN,344,BHX,469,,0,DH4 E75 BE,2421,CWL,488,BHD,467,,0,DH4 BE,2421,CWL,488,JER,499,,0,DH4 BE,2421,DBV,1200,BHX,469,,0,E75 BE,2421,DND,540,STN,548,,0,D38 BE,2421,DSA,5562,JER,499,,0,E75 BE,2421,DUB,599,CFN,5577,Y,0,SF3 BE,2421,DUB,599,EXT,552,,0,E95 BE,2421,DUB,599,SOU,495,,0,DH4 E95 BE,2421,DUS,345,BHX,469,,0,E75 DH4 E95 BE,2421,DUS,345,EXT,552,,0,DH4 BE,2421,DUS,345,MAN,478,,0,E75 DH4 BE,2421,EDI,535,BHD,467,,0,DH4 BE,2421,EDI,535,BHX,469,,0,DH4 E75 BE,2421,EDI,535,CDG,1382,Y,0,ARJ BE,2421,EDI,535,EMA,523,,0,DH4 BE,2421,EDI,535,EXT,552,,0,DH4 BE,2421,EDI,535,JER,499,,0,DH4 BE,2421,EDI,535,KOI,529,Y,0,SF3 BE,2421,EDI,535,LSI,530,Y,0,SF3 BE,2421,EDI,535,MAN,478,,0,DH4 E75 BE,2421,EDI,535,NWI,547,,0,D38 BE,2421,EDI,535,SOU,495,,0,DH4 BE,2421,EDI,535,SYY,541,Y,0,D38 BE,2421,EDI,535,WIC,531,Y,0,D38 BE,2421,EGC,1265,EXT,552,,0,DH4 BE,2421,EGC,1265,SOU,495,,0,DH4 BE,2421,EMA,523,AMS,580,,0,DH4 BE,2421,EMA,523,BHD,467,,0,DH4 BE,2421,EMA,523,EDI,535,,0,DH4 BE,2421,EMA,523,GLA,534,,0,DH4 BE,2421,EMA,523,JER,499,,0,DH4 BE,2421,EXT,552,AGP,1230,,0,E95 BE,2421,EXT,552,ALC,1212,,0,E95 BE,2421,EXT,552,AMS,580,,0,DH4 BE,2421,EXT,552,BHD,467,,0,DH4 BE,2421,EXT,552,CDG,1382,,0,DH4 BE,2421,EXT,552,DUB,599,,0,E95 BE,2421,EXT,552,DUS,345,,0,DH4 BE,2421,EXT,552,EDI,535,,0,DH4 BE,2421,EXT,552,EGC,1265,,0,DH4 BE,2421,EXT,552,FAO,1626,,0,E95 BE,2421,EXT,552,GCI,498,,0,DH4 BE,2421,EXT,552,GLA,534,,0,DH4 BE,2421,EXT,552,JER,499,,0,DH4 BE,2421,EXT,552,MAN,478,,0,DH4 BE,2421,EXT,552,PMI,3998,,0,E95 BE,2421,EXT,552,RNS,1415,,0,DH4 BE,2421,FAO,1626,EXT,552,,0,E95 BE,2421,FAO,1626,SOU,495,,0,E95 BE,2421,FLR,1563,BHX,469,,0,E75 BE,2421,GCI,498,BHX,469,,0,DH4 BE,2421,GCI,498,EXT,552,,0,DH4 BE,2421,GCI,498,JER,499,,0,DH4 BE,2421,GCI,498,NWI,547,Y,0,D38 BE,2421,GCI,498,SOU,495,,0,DH4 BE,2421,GLA,534,BEB,538,Y,0,SF3 BE,2421,GLA,534,BHD,467,,0,DH4 BE,2421,GLA,534,BHX,469,,0,DH4 E75 BE,2421,GLA,534,BRR,5575,Y,0,DHT BE,2421,GLA,534,CAL,5563,Y,0,DHT BE,2421,GLA,534,CFN,5577,Y,0,SF3 BE,2421,GLA,534,EMA,523,,0,DH4 BE,2421,GLA,534,EXT,552,,0,DH4 BE,2421,GLA,534,ILY,536,Y,0,SF3 BE,2421,GLA,534,JER,499,,0,DH4 BE,2421,GLA,534,KOI,529,Y,0,SF3 BE,2421,GLA,534,LBA,517,Y,0,SF3 BE,2421,GLA,534,LSI,530,Y,0,SF3 BE,2421,GLA,534,MAN,478,,0,DH4 BE,2421,GLA,534,SOU,495,,0,DH4 BE,2421,GLA,534,SYY,541,Y,0,SF3 BE,2421,GLA,534,TRE,542,Y,0,SF3 DHT BE,2421,HAJ,352,BHX,469,,0,E75 BE,2421,HAJ,352,MAN,478,,0,E75 BE,2421,HEL,421,JYV,430,,0,AT7 BE,2421,HEL,421,KAJ,433,,0,AT7 BE,2421,HEL,421,KEM,432,,0,AT7 BE,2421,HEL,421,KOK,435,,0,AT7 BE,2421,HEL,421,MHQ,442,,0,AT7 BE,2421,HEL,421,NRK,743,,0,AT7 BE,2421,HEL,421,SVL,455,,0,AT7 BE,2421,HEL,421,TAY,416,,0,AT7 BE,2421,HUY,515,JER,499,,0,E75 BE,2421,ILY,536,GLA,534,Y,0,SF3 BE,2421,INV,533,AMS,580,,0,DH4 BE,2421,INV,533,BHD,467,,0,DH4 BE,2421,INV,533,BHX,469,,0,DH4 E75 BE,2421,INV,533,EDI,535,Y,0,D38 BE,2421,INV,533,KOI,529,Y,0,SF3 BE,2421,INV,533,LSI,530,Y,0,SF3 BE,2421,INV,533,MAN,478,,0,DH4 BE,2421,INV,533,SYY,541,Y,0,SF3 D38 BE,2421,IOM,520,BHX,469,,0,DH4 BE,2421,IOM,520,LPL,491,,0,DH4 BE,2421,IOM,520,MAN,478,,0,DH4 E75 BE,2421,JER,499,BHX,469,,0,DH4 E75 BE,2421,JER,499,CWL,488,,0,DH4 BE,2421,JER,499,DSA,5562,,0,E75 BE,2421,JER,499,EDI,535,,0,DH4 BE,2421,JER,499,EMA,523,,0,DH4 BE,2421,JER,499,EXT,552,,0,DH4 BE,2421,JER,499,GCI,498,,0,DH4 BE,2421,JER,499,GLA,534,,0,DH4 BE,2421,JER,499,HUY,515,,0,E75 BE,2421,JER,499,MAN,478,,0,E75 DH4 BE,2421,JER,499,NWI,547,,0,DH4 BE,2421,JER,499,SOU,495,,0,DH4 E95 BE,2421,JYV,430,HEL,421,,0,AT7 BE,2421,KAJ,433,HEL,421,,0,AT7 BE,2421,KEM,432,HEL,421,,0,AT7 BE,2421,KOI,529,ABZ,532,Y,0,SF3 S20 BE,2421,KOI,529,EDI,535,Y,0,SF3 BE,2421,KOI,529,GLA,534,Y,0,SF3 BE,2421,KOI,529,INV,533,Y,0,SF3 BE,2421,KOI,529,LSI,530,Y,0,SF3 BE,2421,KOK,435,HEL,421,,0,AT7 BE,2421,LBA,517,BHD,467,,0,DH4 BE,2421,LBA,517,GLA,534,Y,0,SF3 BE,2421,LGW,502,NQY,481,,0,DH4 BE,2421,LIG,1270,SOU,495,,0,DH4 BE,2421,LPL,491,IOM,520,,0,DH4 BE,2421,LRH,6493,SOU,495,,0,DH4 BE,2421,LSI,530,ABZ,532,Y,0,SF3 S20 BE,2421,LSI,530,EDI,535,Y,0,SF3 BE,2421,LSI,530,GLA,534,Y,0,SF3 BE,2421,LSI,530,INV,533,Y,0,SF3 BE,2421,LSI,530,KOI,529,Y,0,SF3 BE,2421,LYS,1335,BHX,469,,0,E75 BE,2421,MAN,478,ABZ,532,,0,E75 DH4 BE,2421,MAN,478,BHD,467,,0,E75 DH4 BE,2421,MAN,478,CDG,1382,,0,E75 DH4 BE,2421,MAN,478,DUS,345,,0,E75 DH4 BE,2421,MAN,478,EDI,535,,0,DH4 E75 BE,2421,MAN,478,EXT,552,,0,DH4 BE,2421,MAN,478,GLA,534,,0,DH4 BE,2421,MAN,478,HAJ,352,,0,E75 BE,2421,MAN,478,INV,533,,0,DH4 BE,2421,MAN,478,IOM,520,,0,DH4 E75 BE,2421,MAN,478,JER,499,,0,E75 DH4 BE,2421,MAN,478,MXP,1524,,0,E75 BE,2421,MAN,478,NOC,600,,0,DH4 E75 BE,2421,MAN,478,NQY,481,,0,DH4 BE,2421,MAN,478,NTE,1418,,0,E75 DH4 BE,2421,MAN,478,NWI,547,Y,0,D38 BE,2421,MAN,478,SOU,495,,0,DH4 BE,2421,MAN,478,WAT,605,,0,DH4 BE,2421,MHQ,442,HEL,421,,0,AT7 BE,2421,MRS,1353,ORY,1386,,0,32S BE,2421,MXP,1524,BHX,469,,0,E75 BE,2421,MXP,1524,MAN,478,,0,E75 BE,2421,NCE,1354,SOU,495,,0,E95 BE,2421,NCL,521,BHD,467,,0,DH4 BE,2421,NCL,521,CDG,1382,Y,0,ARJ BE,2421,NCL,521,SOU,495,,0,DH4 BE,2421,NOC,600,BHX,469,,0,DH4 BE,2421,NOC,600,MAN,478,,0,DH4 E75 BE,2421,NQY,481,LGW,502,,0,DH4 BE,2421,NQY,481,MAN,478,,0,DH4 BE,2421,NRK,743,HEL,421,,0,AT7 BE,2421,NTE,1418,MAN,478,,0,E75 DH4 BE,2421,NTE,1418,SOU,495,,0,DH4 BE,2421,NWI,547,EDI,535,,0,D38 BE,2421,NWI,547,GCI,498,Y,0,D38 BE,2421,NWI,547,JER,499,,0,DH4 BE,2421,NWI,547,MAN,478,Y,0,D38 BE,2421,OPO,1636,BHX,469,,0,E75 BE,2421,ORY,1386,SOU,495,,0,DH4 BE,2421,PMI,3998,EXT,552,,0,E95 BE,2421,PMI,3998,SOU,495,,0,E95 BE,2421,RNS,1415,EXT,552,,0,DH4 BE,2421,RNS,1415,SOU,495,,0,DH4 BE,2421,SOU,495,AGP,1230,,0,E95 BE,2421,SOU,495,ALC,1212,,0,E95 BE,2421,SOU,495,AMS,580,,0,DH4 E75 BE,2421,SOU,495,BES,1403,,0,DH4 BE,2421,SOU,495,BHD,467,,0,DH4 BE,2421,SOU,495,DUB,599,,0,DH4 E95 BE,2421,SOU,495,EDI,535,,0,DH4 BE,2421,SOU,495,EGC,1265,,0,DH4 BE,2421,SOU,495,FAO,1626,,0,E95 BE,2421,SOU,495,GCI,498,,0,DH4 BE,2421,SOU,495,GLA,534,,0,DH4 BE,2421,SOU,495,JER,499,,0,DH4 E95 BE,2421,SOU,495,LIG,1270,,0,DH4 BE,2421,SOU,495,LRH,6493,,0,DH4 BE,2421,SOU,495,MAN,478,,0,DH4 BE,2421,SOU,495,NCE,1354,,0,E95 BE,2421,SOU,495,NCL,521,,0,DH4 BE,2421,SOU,495,NTE,1418,,0,DH4 BE,2421,SOU,495,ORY,1386,,0,DH4 BE,2421,SOU,495,PMI,3998,,0,E95 BE,2421,SOU,495,RNS,1415,,0,DH4 BE,2421,STN,548,DND,540,,0,D38 BE,2421,STR,350,BHX,469,,0,E75 DH4 BE,2421,SVL,455,HEL,421,,0,AT7 BE,2421,SYY,541,BEB,538,Y,0,SF3 BE,2421,SYY,541,EDI,535,Y,0,D38 BE,2421,SYY,541,GLA,534,Y,0,SF3 BE,2421,SYY,541,INV,533,Y,0,SF3 D38 BE,2421,TAY,416,HEL,421,,0,AT7 BE,2421,TRE,542,GLA,534,Y,0,SF3 DHT BE,2421,WAT,605,BHX,469,,0,DH4 BE,2421,WAT,605,MAN,478,,0,DH4 BE,2421,WIC,531,EDI,535,Y,0,D38 BF,1230,CNS,3322,GTE,6270,,0,BE1 BF,1230,DRW,3999,GTE,6270,,0,BE1 BF,1230,GTE,6270,CNS,3322,,0,BE1 BF,1230,GTE,6270,DRW,3999,,0,BE1 BG,1359,AUH,2179,ZYL,3074,,0,313 BG,1359,BKK,3885,DAC,3076,,0,738 BG,1359,CCU,3043,DAC,3076,,0,738 BG,1359,CGP,3069,AUH,2179,,0,313 BG,1359,CGP,3069,DAC,3076,,0,313 D1C 772 BG,1359,CGP,3069,DXB,2188,,0,313 BG,1359,CGP,3069,JED,2072,,0,772 BG,1359,CGP,3069,MCT,2194,,0,313 BG,1359,DAC,3076,BKK,3885,,0,738 BG,1359,DAC,3076,CCU,3043,,0,738 BG,1359,DAC,3076,CGP,3069,,0,313 772 BG,1359,DAC,3076,DEL,3093,,0,738 BG,1359,DAC,3076,DMM,2064,,0,772 BG,1359,DAC,3076,DOH,11051,,0,313 BG,1359,DAC,3076,FCO,1555,,0,773 BG,1359,DAC,3076,HKG,3077,,0,D1C BG,1359,DAC,3076,JED,2072,,0,772 BG,1359,DAC,3076,KTM,3125,,0,313 BG,1359,DAC,3076,KUL,3304,,0,313 772 D1C 738 BG,1359,DAC,3076,KWI,2176,,0,D1C BG,1359,DAC,3076,LHR,507,,0,772 BG,1359,DAC,3076,MCT,2194,,0,738 BG,1359,DAC,3076,RGN,3239,,0,738 BG,1359,DAC,3076,SIN,3316,,0,738 BG,1359,DEL,3093,DAC,3076,,0,738 BG,1359,DMM,2064,RUH,2082,,0,772 BG,1359,DOH,11051,DXB,2188,,0,313 BG,1359,DXB,2188,CGP,3069,,0,313 BG,1359,DXB,2188,ZYL,3074,,0,313 BG,1359,FCO,1555,DAC,3076,,0,773 BG,1359,FCO,1555,FRA,340,,0,773 BG,1359,FRA,340,FCO,1555,,0,773 BG,1359,HKG,3077,DAC,3076,,0,D1C BG,1359,JED,2072,CGP,3069,,0,772 BG,1359,JED,2072,DAC,3076,,0,772 BG,1359,KTM,3125,DAC,3076,,0,313 BG,1359,KUL,3304,DAC,3076,,0,313 772 D1C 738 BG,1359,KWI,2176,CGP,3069,,0,D1C BG,1359,KWI,2176,DAC,3076,,0,D1C BG,1359,LHR,507,DAC,3076,,0,772 BG,1359,LHR,507,ZYL,3074,,0,772 BG,1359,MCT,2194,CGP,3069,,0,313 BG,1359,RGN,3239,DAC,3076,,0,738 BG,1359,RUH,2082,DAC,3076,,0,772 BG,1359,SIN,3316,DAC,3076,,0,738 BG,1359,ZYL,3074,DAC,3076,,0,313 772 BH,2692,YPR,108,YVR,156,,0,DH1 BH,2692,YVR,156,YPR,108,,0,DH1 BH,2692,YVR,156,YXT,173,,0,DH1 BH,2692,YVR,156,YYD,179,,0,DH1 BH,2692,YXT,173,YVR,156,,0,DH1 BH,2692,YXT,173,YYD,179,,0,DH1 BH,2692,YYD,179,YVR,156,,0,DH1 BH,2692,YYD,179,YXT,173,,0,DH1 BI,4255,BKI,3269,BWN,3272,,0,320 BI,4255,BKK,3885,BWN,3272,,0,319 320 BI,4255,BWN,3272,BKI,3269,,0,320 BI,4255,BWN,3272,BKK,3885,,0,319 320 BI,4255,BWN,3272,CGK,3275,,0,319 BI,4255,BWN,3272,DWC,8076,,0,787 BI,4255,BWN,3272,HKG,3077,,0,320 BI,4255,BWN,3272,JED,2072,,0,787 BI,4255,BWN,3272,KUL,3304,,0,319 320 BI,4255,BWN,3272,MEL,3339,,0,787 BI,4255,BWN,3272,MNL,2397,,0,320 BI,4255,BWN,3272,MZV,4056,,0,AT7 BI,4255,BWN,3272,PVG,3406,,0,320 BI,4255,BWN,3272,SIN,3316,,0,320 BI,4255,BWN,3272,SUB,3928,,0,320 319 BI,4255,CGK,3275,BWN,3272,,0,319 BI,4255,DWC,8076,LHR,507,,0,787 BI,4255,DXB,2188,BWN,3272,,0,787 BI,4255,HKG,3077,BWN,3272,,0,320 BI,4255,JED,2072,BWN,3272,,0,787 BI,4255,KCH,3263,MZV,4056,,0,AT7 BI,4255,KUL,3304,BWN,3272,,0,319 320 BI,4255,LHR,507,DXB,2188,,0,787 BI,4255,MEL,3339,BWN,3272,,0,787 BI,4255,MNL,2397,BWN,3272,,0,320 BI,4255,MZV,4056,BWN,3272,,0,AT7 BI,4255,MZV,4056,KCH,3263,,0,AT7 BI,4255,PVG,3406,BWN,3272,,0,320 BI,4255,SIN,3316,BWN,3272,,0,320 BI,4255,SUB,3928,BWN,3272,,0,320 BJ,3740,ARN,737,GOT,687,,0,320 BJ,3740,CDG,1382,DJE,293,,0,321 320 BJ,3740,CDG,1382,MIR,286,,0,320 BJ,3740,CDG,1382,TUN,287,,0,320 BJ,3740,DJE,293,CDG,1382,,0,321 320 BJ,3740,DJE,293,LIL,1399,,0,321 BJ,3740,DJE,293,LYS,1335,,0,321 320 BJ,3740,DJE,293,MLH,\N,,0,321 BJ,3740,DJE,293,MRS,1353,,0,320 BJ,3740,DJE,293,MUC,346,,0,321 BJ,3740,DJE,293,NTE,1418,,0,320 321 BJ,3740,DME,4029,NBE,7447,,0,320 BJ,3740,DUS,345,NBE,7447,,0,320 BJ,3740,FRA,340,NBE,7447,,0,320 BJ,3740,LED,2948,NBE,7447,,0,320 BJ,3740,LIL,1399,DJE,293,,0,321 BJ,3740,LYS,1335,DJE,293,,0,321 320 BJ,3740,LYS,1335,MIR,286,,0,320 BJ,3740,LYS,1335,TUN,287,,0,320 BJ,3740,MIR,286,CDG,1382,,0,320 BJ,3740,MIR,286,TUN,287,,0,320 BJ,3740,MRS,1353,DJE,293,,0,320 BJ,3740,MUC,346,DJE,293,,0,321 BJ,3740,MUC,346,NBE,7447,,0,320 BJ,3740,NBE,7447,DME,4029,,0,320 BJ,3740,NBE,7447,DUS,345,,0,320 BJ,3740,NBE,7447,FRA,340,,0,320 BJ,3740,NBE,7447,LED,2948,,0,320 BJ,3740,NBE,7447,MUC,346,,0,320 BJ,3740,NTE,1418,DJE,293,,0,320 321 BJ,3740,NTE,1418,LYS,1335,,0,320 BJ,3740,NTE,1418,TUN,287,,0,320 BJ,3740,TUN,287,CDG,1382,,0,320 BJ,3740,TUN,287,LYS,1335,,0,320 BJ,3740,TUN,287,MIR,286,,0,320 BJ,3740,TUN,287,NTE,1418,,0,320 BK,4026,CAN,3370,TSN,3368,,0,738 BK,4026,CJU,2370,CSX,3371,,0,738 BK,4026,CJU,2370,TSN,3368,,0,738 BK,4026,CKG,3393,CSX,3371,,0,738 BK,4026,CKG,3393,DYG,6353,,0,738 BK,4026,CKG,3393,XNN,6366,,0,738 BK,4026,CSX,3371,CJU,2370,,0,738 BK,4026,CSX,3371,CKG,3393,,0,738 BK,4026,CSX,3371,DYG,6353,,0,YN7 BK,4026,CSX,3371,HGH,3386,,0,738 BK,4026,CSX,3371,HJJ,7519,,0,YN7 BK,4026,CSX,3371,KMG,3382,,0,738 BK,4026,CSX,3371,LLF,8845,,0,YN7 BK,4026,CSX,3371,NKG,3388,,0,738 BK,4026,CSX,3371,SYX,4030,,0,738 BK,4026,CSX,3371,TAO,3390,,0,738 BK,4026,CSX,3371,TEN,6963,,0,YN7 BK,4026,CSX,3371,TSN,3368,,0,738 BK,4026,CSX,3371,XIY,3379,,0,738 BK,4026,CSX,3371,XMN,3383,,0,738 BK,4026,CSX,3371,ZHA,6357,,0,738 BK,4026,CTU,3395,TSN,3368,,0,738 BK,4026,DLC,3404,HGH,3386,,0,738 BK,4026,DLC,3404,TSN,3368,,0,738 BK,4026,DLC,3404,YNT,3392,,0,YN7 BK,4026,DYG,6353,CKG,3393,,0,738 BK,4026,DYG,6353,CSX,3371,,0,YN7 BK,4026,DYG,6353,TSN,3368,,0,738 BK,4026,HEK,6410,HRB,3400,,0,YN7 BK,4026,HEK,6410,OHE,6943,,0,YN7 BK,4026,HET,6345,TSN,3368,,0,YN7 BK,4026,HFE,3389,KMG,3382,,0,738 BK,4026,HGH,3386,CSX,3371,,0,738 BK,4026,HGH,3386,DLC,3404,,0,738 BK,4026,HGH,3386,TSN,3368,,0,738 BK,4026,HJJ,7519,CSX,3371,,0,YN7 BK,4026,HRB,3400,HEK,6410,,0,YN7 BK,4026,HRB,3400,JGD,8979,,0,YN7 BK,4026,HRB,3400,JMU,6411,,0,YN7 BK,4026,HRB,3400,JXA,8417,,0,YN7 BK,4026,HRB,3400,TSN,3368,,0,738 BK,4026,JGD,8979,HRB,3400,,0,YN7 BK,4026,JGD,8979,OHE,6943,,0,YN7 BK,4026,JHG,3381,KMG,3382,,0,738 BK,4026,JMU,6411,HRB,3400,,0,YN7 BK,4026,JXA,8417,HRB,3400,,0,YN7 BK,4026,KMG,3382,CSX,3371,,0,738 BK,4026,KMG,3382,HFE,3389,,0,738 BK,4026,KMG,3382,JHG,3381,,0,738 BK,4026,KMG,3382,NKG,3388,,0,738 BK,4026,KMG,3382,UYN,6368,,0,738 BK,4026,KWL,3372,TSN,3368,,0,738 BK,4026,LLF,8845,CSX,3371,,0,YN7 BK,4026,NGB,3387,SYX,4030,,0,738 BK,4026,NGB,3387,TSN,3368,,0,738 BK,4026,NKG,3388,CSX,3371,,0,738 BK,4026,NKG,3388,KMG,3382,,0,738 BK,4026,NKG,3388,SHE,4144,,0,738 BK,4026,NNG,3373,SZX,3374,,0,738 BK,4026,NNG,3373,XIY,3379,,0,738 BK,4026,OHE,6943,HEK,6410,,0,YN7 BK,4026,OHE,6943,JGD,8979,,0,YN7 BK,4026,SHE,4144,NKG,3388,,0,738 BK,4026,SHE,4144,TAO,3390,,0,738 BK,4026,SYX,4030,CSX,3371,,0,738 BK,4026,SYX,4030,NGB,3387,,0,738 BK,4026,SYX,4030,ZUH,6355,,0,738 BK,4026,SZX,3374,NNG,3373,,0,738 BK,4026,SZX,3374,TSN,3368,,0,738 BK,4026,TAO,3390,CSX,3371,,0,738 BK,4026,TAO,3390,SHE,4144,,0,738 BK,4026,TEN,6963,CSX,3371,,0,YN7 BK,4026,TSN,3368,CAN,3370,,0,738 BK,4026,TSN,3368,CJU,2370,,0,738 BK,4026,TSN,3368,CSX,3371,,0,738 BK,4026,TSN,3368,CTU,3395,,0,738 BK,4026,TSN,3368,DLC,3404,,0,738 BK,4026,TSN,3368,DYG,6353,,0,738 BK,4026,TSN,3368,HET,6345,,0,YN7 BK,4026,TSN,3368,HGH,3386,,0,738 BK,4026,TSN,3368,HRB,3400,,0,738 BK,4026,TSN,3368,KWL,3372,,0,738 BK,4026,TSN,3368,NGB,3387,,0,738 BK,4026,TSN,3368,SZX,3374,,0,738 BK,4026,TSN,3368,UYN,6368,,0,738 BK,4026,TSN,3368,XIY,3379,,0,738 BK,4026,TSN,3368,XMN,3383,,0,738 BK,4026,TSN,3368,XNN,6366,,0,738 BK,4026,TSN,3368,YNT,3392,,0,YN7 BK,4026,TSN,3368,ZUH,6355,,0,738 BK,4026,URC,3399,XIY,3379,,0,738 BK,4026,UYN,6368,KMG,3382,,0,738 BK,4026,UYN,6368,TSN,3368,,0,738 BK,4026,XIY,3379,CSX,3371,,0,738 BK,4026,XIY,3379,NNG,3373,,0,738 BK,4026,XIY,3379,TSN,3368,,0,738 BK,4026,XIY,3379,URC,3399,,0,738 BK,4026,XMN,3383,CSX,3371,,0,738 BK,4026,XMN,3383,TSN,3368,,0,738 BK,4026,XNN,6366,CKG,3393,,0,738 BK,4026,XNN,6366,TSN,3368,,0,738 BK,4026,YNT,3392,DLC,3404,,0,YN7 BK,4026,YNT,3392,TSN,3368,,0,YN7 BK,4026,ZHA,6357,CSX,3371,,0,738 BK,4026,ZUH,6355,SYX,4030,,0,738 BK,4026,ZUH,6355,TSN,3368,,0,738 BL,3850,BMV,6187,SGN,3205,,0,320 BL,3850,BMV,6187,VII,6195,,0,320 BL,3850,CXR,6189,SGN,3205,,0,320 BL,3850,DAD,3196,HAN,3199,,0,320 BL,3850,DAD,3196,SGN,3205,,0,320 BL,3850,HAN,3199,DAD,3196,,0,320 BL,3850,HAN,3199,SGN,3205,,0,320 BL,3850,HPH,6188,SGN,3205,,0,320 BL,3850,PQC,3204,SGN,3205,,0,320 BL,3850,SGN,3205,BMV,6187,,0,320 BL,3850,SGN,3205,CXR,6189,,0,320 BL,3850,SGN,3205,DAD,3196,,0,320 BL,3850,SGN,3205,HAN,3199,,0,320 BL,3850,SGN,3205,HPH,6188,,0,320 BL,3850,SGN,3205,PQC,3204,,0,320 BL,3850,SGN,3205,VII,6195,,0,320 BL,3850,VII,6195,BMV,6187,,0,320 BL,3850,VII,6195,SGN,3205,,0,320 BM,312,ABZ,532,BRS,490,,0,ER4 BM,312,ABZ,532,EBJ,610,,0,ER4 BM,312,ABZ,532,KSU,647,,0,ER4 BM,312,ABZ,532,MAN,478,,0,ER4 BM,312,ABZ,532,NWI,547,,0,ER4 ER3 BM,312,ABZ,532,OSL,644,,0,ER3 BM,312,BHX,469,GOT,687,,0,ER4 BM,312,BRE,353,TLS,1273,,0,ER4 BM,312,BRS,490,ABZ,532,,0,ER4 BM,312,BRS,490,FRA,340,,0,ER4 BM,312,BRS,490,HAM,342,,0,ER3 BM,312,BRS,490,MUC,346,,0,ER4 BM,312,BRS,490,MXP,1524,,0,ER4 BM,312,BRU,302,EMA,523,,0,ER3 BM,312,BRU,302,NCL,521,,0,ER4 BM,312,EBJ,610,ABZ,532,,0,ER4 BM,312,EMA,523,BRU,302,,0,ER3 BM,312,EVE,641,SVG,666,,0,ER4 BM,312,FRA,340,BRS,490,,0,ER4 BM,312,GOT,687,BHX,469,,0,ER4 BM,312,GOT,687,SVG,666,,0,ER4 BM,312,HAM,342,BRS,490,,0,ER3 BM,312,KSU,647,ABZ,532,,0,ER4 BM,312,KSU,647,SVG,666,,0,ER4 BM,312,MAN,478,ABZ,532,,0,ER4 BM,312,MUC,346,BRS,490,,0,ER4 BM,312,MXP,1524,BRS,490,,0,ER4 BM,312,NCL,521,BRU,302,,0,ER4 BM,312,NWI,547,ABZ,532,,0,ER4 ER3 BM,312,OSL,644,ABZ,532,,0,ER3 BM,312,SVG,666,EVE,641,,0,ER4 BM,312,SVG,666,GOT,687,,0,ER4 BM,312,SVG,666,KSU,647,,0,ER4 BM,312,TLS,1273,BRE,353,,0,ER4 BP,683,BBK,879,GBE,881,,0,AT5 AT7 BP,683,BBK,879,JNB,813,,0,AT5 BP,683,BBK,879,MUB,880,,0,AT5 BP,683,CPT,797,GBE,881,,0,AR8 BP,683,CPT,797,MUB,880,,0,AR8 BP,683,FRW,877,GBE,881,,0,AT7 AT5 BP,683,FRW,877,JNB,813,,0,AT7 BP,683,GBE,881,BBK,879,,0,AT5 AT7 BP,683,GBE,881,CPT,797,,0,AR8 BP,683,GBE,881,FRW,877,,0,AT7 AT5 BP,683,GBE,881,HRE,1005,,0,AT5 BP,683,GBE,881,JNB,813,,0,AT5 AT7 BP,683,GBE,881,LUN,907,,0,AT5 BP,683,GBE,881,MUB,880,,0,AT5 AT7 BP,683,HRE,1005,GBE,881,,0,AT5 BP,683,JNB,813,BBK,879,,0,AT5 BP,683,JNB,813,FRW,877,,0,AT7 BP,683,JNB,813,GBE,881,,0,AT5 AT7 BP,683,JNB,813,MUB,880,,0,AT5 AT7 BP,683,LUN,907,GBE,881,,0,AT5 BP,683,MUB,880,BBK,879,,0,AT5 BP,683,MUB,880,CPT,797,,0,AR8 BP,683,MUB,880,GBE,881,,0,AT5 AT7 BP,683,MUB,880,JNB,813,,0,AT5 AT7 BR,2091,AKJ,2299,TPE,2276,,0,332 BR,2091,AMS,580,BKK,3885,,0,77W BR,2091,BKK,3885,AMS,580,,0,77W BR,2091,BKK,3885,LHR,507,,0,77W BR,2091,BKK,3885,TPE,2276,,0,332 77W BR,2091,BKK,3885,VIE,1613,,0,332 BR,2091,BNE,3320,TPE,2276,,0,332 BR,2091,CAN,3370,KHH,2264,Y,0,M90 BR,2091,CAN,3370,TPE,2276,,0,332 744 BR,2091,CDG,1382,TPE,2276,,0,77W BR,2091,CGK,3275,TPE,2276,,0,332 BR,2091,CGO,3375,KHH,2264,Y,0,M90 BR,2091,CGO,3375,TPE,2276,,0,332 321 BR,2091,CTS,2287,TPE,2276,,0,332 BR,2091,CTU,3395,TPE,2276,,0,332 BR,2091,DPS,3940,TPE,2276,,0,332 BR,2091,FUK,2305,TPE,2276,,0,332 333 BR,2091,GMP,2378,TSA,2275,,0,321 BR,2091,GUM,2246,TPE,2276,,0,332 BR,2091,HAN,3199,TPE,2276,Y,0,M90 321 BR,2091,HET,6345,TPE,2276,,0,321 BR,2091,HGH,3386,TPE,2276,,0,332 M90 744 BR,2091,HKD,2288,TPE,2276,,0,332 BR,2091,HKG,3077,TPE,2276,,0,321 333 77W M90 332 74E BR,2091,HND,2359,TSA,2275,,0,333 BR,2091,HRB,3400,TPE,2276,,0,M90 BR,2091,ICN,3930,KHH,2264,,0,M90 BR,2091,ICN,3930,TPE,2276,,0,332 333 BR,2091,JFK,3797,TPE,2276,,0,77W BR,2091,KHH,2264,CAN,3370,Y,0,M90 BR,2091,KHH,2264,CGO,3375,Y,0,M90 BR,2091,KHH,2264,ICN,3930,,0,M90 BR,2091,KHH,2264,MFM,3121,Y,0,M90 321 BR,2091,KHH,2264,NGB,3387,Y,0,M90 BR,2091,KHH,2264,NRT,2279,,0,321 BR,2091,KHH,2264,PVG,3406,,0,321 BR,2091,KHH,2264,TNA,4108,Y,0,M90 BR,2091,KHH,2264,TSN,3368,Y,0,M90 BR,2091,KIX,3992,TPE,2276,,0,332 321 BR,2091,KMQ,2322,TPE,2276,,0,321 332 BR,2091,KUL,3304,TPE,2276,,0,332 321 BR,2091,KWL,3372,TPE,2276,,0,M90 BR,2091,LAX,3484,TPE,2276,,0,77W BR,2091,LHR,507,BKK,3885,,0,77W BR,2091,MFM,3121,KHH,2264,Y,0,M90 321 BR,2091,MFM,3121,RMQ,2268,,0,M90 BR,2091,MFM,3121,TPE,2276,,0,321 77W M90 744 332 BR,2091,MNL,2397,TPE,2276,,0,74E 321 332 BR,2091,NGB,3387,KHH,2264,Y,0,M90 BR,2091,NRT,2279,KHH,2264,,0,321 BR,2091,NRT,2279,TPE,2276,,0,321 332 BR,2091,OKJ,2327,TPE,2276,Y,0,M90 BR,2091,PEK,3364,TPE,2276,,0,77W 744 BR,2091,PNH,3034,TPE,2276,,0,M90 BR,2091,PVG,3406,KHH,2264,,0,321 BR,2091,PVG,3406,TPE,2276,,0,744 BR,2091,RMQ,2268,MFM,3121,,0,M90 BR,2091,SDJ,2347,TPE,2276,,0,321 BR,2091,SEA,3577,TPE,2276,,0,744 BR,2091,SFO,3469,TPE,2276,,0,77W BR,2091,SGN,3205,TPE,2276,,0,77W 332 BR,2091,SHA,3391,TSA,2275,,0,333 BR,2091,SIN,3316,TPE,2276,,0,333 77W BR,2091,SUB,3928,TPE,2276,,0,332 BR,2091,TNA,4108,KHH,2264,Y,0,M90 BR,2091,TNA,4108,TPE,2276,,0,M90 BR,2091,TPE,2276,AKJ,2299,,0,332 BR,2091,TPE,2276,BKK,3885,,0,77W 332 BR,2091,TPE,2276,BNE,3320,,0,332 BR,2091,TPE,2276,CAN,3370,,0,332 744 BR,2091,TPE,2276,CDG,1382,,0,77W BR,2091,TPE,2276,CGK,3275,,0,332 BR,2091,TPE,2276,CGO,3375,,0,332 321 BR,2091,TPE,2276,CTS,2287,,0,332 BR,2091,TPE,2276,CTU,3395,,0,332 BR,2091,TPE,2276,DPS,3940,,0,332 BR,2091,TPE,2276,FUK,2305,,0,332 333 BR,2091,TPE,2276,GUM,2246,,0,332 BR,2091,TPE,2276,HAN,3199,Y,0,M90 321 BR,2091,TPE,2276,HET,6345,,0,321 BR,2091,TPE,2276,HGH,3386,,0,332 M90 744 BR,2091,TPE,2276,HKD,2288,,0,332 BR,2091,TPE,2276,HKG,3077,,0,77W 321 M90 333 332 74E BR,2091,TPE,2276,HRB,3400,,0,M90 BR,2091,TPE,2276,ICN,3930,,0,332 333 BR,2091,TPE,2276,JFK,3797,,0,77W BR,2091,TPE,2276,KIX,3992,,0,332 321 BR,2091,TPE,2276,KMQ,2322,,0,321 332 BR,2091,TPE,2276,KUL,3304,,0,332 321 BR,2091,TPE,2276,KWL,3372,,0,M90 BR,2091,TPE,2276,LAX,3484,,0,77W BR,2091,TPE,2276,MFM,3121,,0,321 77W M90 744 332 BR,2091,TPE,2276,MNL,2397,,0,74E 321 332 BR,2091,TPE,2276,NRT,2279,,0,332 321 BR,2091,TPE,2276,OKJ,2327,Y,0,M90 BR,2091,TPE,2276,PEK,3364,,0,77W 744 BR,2091,TPE,2276,PNH,3034,,0,M90 BR,2091,TPE,2276,PVG,3406,,0,744 BR,2091,TPE,2276,SDJ,2347,,0,321 BR,2091,TPE,2276,SEA,3577,,0,744 BR,2091,TPE,2276,SFO,3469,,0,77W BR,2091,TPE,2276,SGN,3205,,0,332 77W BR,2091,TPE,2276,SIN,3316,,0,77W 333 BR,2091,TPE,2276,SUB,3928,,0,332 BR,2091,TPE,2276,TNA,4108,,0,M90 BR,2091,TPE,2276,TSN,3368,,0,77W BR,2091,TPE,2276,TXN,6387,,0,M90 BR,2091,TPE,2276,YVR,156,,0,744 BR,2091,TPE,2276,YYZ,193,,0,77W BR,2091,TSA,2275,GMP,2378,,0,321 BR,2091,TSA,2275,HND,2359,,0,333 BR,2091,TSA,2275,SHA,3391,,0,333 BR,2091,TSN,3368,KHH,2264,Y,0,M90 BR,2091,TSN,3368,TPE,2276,,0,77W BR,2091,TXN,6387,TPE,2276,,0,M90 BR,2091,VIE,1613,BKK,3885,,0,332 BR,2091,YVR,156,TPE,2276,,0,744 BR,2091,YYZ,193,TPE,2276,,0,77W BT,333,ABZ,532,RIX,3953,,0,735 BT,333,AES,630,RIX,3953,,0,DH4 BT,333,AMS,580,AUH,2179,,0,332 BT,333,AMS,580,RIX,3953,,0,73C 735 BT,333,ARN,737,RIX,3953,,0,733 DH4 735 73C BT,333,ATH,3941,RIX,3953,,0,73C BT,333,AUH,2179,AMS,580,,0,332 BT,333,AUH,2179,BRU,302,,0,332 BT,333,AUH,2179,FRA,340,,0,332 333 BT,333,AUH,2179,MUC,346,,0,333 345 346 BT,333,BCN,1218,RIX,3953,,0,735 73C BT,333,BGO,636,RIX,3953,,0,73C DH4 BT,333,BLL,608,RIX,3953,,0,DH4 BT,333,BRU,302,AUH,2179,,0,332 BT,333,BRU,302,RIX,3953,,0,735 DH4 BT,333,BRU,302,VNO,3959,Y,0,AR1 319 BT,333,BUD,1489,RIX,3953,,0,DH4 735 BT,333,CDG,1382,RIX,3953,,0,733 735 73C BT,333,CPH,609,RIX,3953,,0,DH4 73C 733 BT,333,DME,4029,RIX,3953,,0,DH4 73C 735 BT,333,DUS,345,RIX,3953,,0,DH4 BT,333,FCO,1555,RIX,3953,,0,73C BT,333,FRA,340,AUH,2179,,0,332 333 BT,333,FRA,340,RIX,3953,,0,735 DH4 73C BT,333,GOT,687,RIX,3953,,0,DH4 BT,333,GYD,2922,RIX,3953,,0,735 BT,333,HAM,342,RIX,3953,,0,DH4 735 BT,333,HEL,421,RIX,3953,,0,73C DH4 735 BT,333,KBP,2939,RIX,3953,,0,DH4 BT,333,KGD,2952,RIX,3953,,0,DH4 BT,333,KIV,1735,RIX,3953,,0,DH4 BT,333,LCA,1197,RIX,3953,,0,735 BT,333,LED,2948,RIX,3953,,0,DH4 BT,333,LGW,502,RIX,3953,,0,73C 735 BT,333,LHR,507,LIN,1529,,0,319 BT,333,LIN,1529,LHR,507,,0,319 BT,333,MLA,1606,RIX,3953,,0,73C BT,333,MSQ,2954,RIX,3953,,0,DH4 73C BT,333,MUC,346,AUH,2179,,0,332 345 333 BT,333,MUC,346,RIX,3953,,0,73C DH4 735 733 BT,333,MXP,1524,RIX,3953,,0,73C 735 BT,333,NCE,1354,RIX,3953,,0,735 73C BT,333,OLB,1520,RIX,3953,,0,73C BT,333,OSL,644,RIX,3953,,0,DH4 73C 735 BT,333,PLQ,3958,RIX,3953,,0,DH4 BT,333,PRG,1587,RIX,3953,,0,DH4 BT,333,RIX,3953,ABZ,532,,0,735 BT,333,RIX,3953,AES,630,,0,DH4 BT,333,RIX,3953,AMS,580,,0,73C 735 BT,333,RIX,3953,ARN,737,,0,DH4 735 73C 733 BT,333,RIX,3953,ATH,3941,,0,73C BT,333,RIX,3953,BCN,1218,,0,735 73C BT,333,RIX,3953,BGO,636,,0,DH4 BT,333,RIX,3953,BLL,608,,0,DH4 BT,333,RIX,3953,BRU,302,,0,735 DH4 BT,333,RIX,3953,BUD,1489,,0,DH4 735 BT,333,RIX,3953,CDG,1382,,0,733 735 73C BT,333,RIX,3953,CPH,609,,0,DH4 73C 733 BT,333,RIX,3953,DME,4029,,0,73C DH4 735 BT,333,RIX,3953,DUS,345,,0,DH4 BT,333,RIX,3953,FCO,1555,,0,73C BT,333,RIX,3953,FRA,340,,0,735 DH4 73C BT,333,RIX,3953,GOT,687,,0,DH4 BT,333,RIX,3953,GYD,2922,,0,735 BT,333,RIX,3953,HAM,342,,0,DH4 735 BT,333,RIX,3953,HEL,421,,0,DH4 73C 735 BT,333,RIX,3953,KBP,2939,,0,DH4 BT,333,RIX,3953,KGD,2952,,0,DH4 BT,333,RIX,3953,KIV,1735,,0,DH4 BT,333,RIX,3953,LCA,1197,,0,735 BT,333,RIX,3953,LED,2948,,0,DH4 BT,333,RIX,3953,LGW,502,,0,73C 735 BT,333,RIX,3953,MLA,1606,,0,73C BT,333,RIX,3953,MSQ,2954,,0,DH4 73C BT,333,RIX,3953,MUC,346,,0,73C DH4 735 733 BT,333,RIX,3953,MXP,1524,,0,73C 735 BT,333,RIX,3953,NCE,1354,,0,735 73C BT,333,RIX,3953,OLB,1520,,0,73C BT,333,RIX,3953,OSL,644,,0,DH4 73C 735 BT,333,RIX,3953,PLQ,3958,,0,DH4 BT,333,RIX,3953,PRG,1587,,0,DH4 BT,333,RIX,3953,SAW,4317,,0,735 BT,333,RIX,3953,SVG,666,,0,735 DH4 BT,333,RIX,3953,SVO,2985,,0,73C 733 735 BT,333,RIX,3953,TAS,2983,Y,0,763 BT,333,RIX,3953,TBS,3973,,0,735 BT,333,RIX,3953,TKU,460,,0,DH4 BT,333,RIX,3953,TLL,415,,0,DH4 73C BT,333,RIX,3953,TLV,1590,,0,73C 735 BT,333,RIX,3953,TXL,351,,0,DH4 735 BT,333,RIX,3953,VCE,1551,,0,73C 735 BT,333,RIX,3953,VIE,1613,,0,73C 735 DH4 733 BT,333,RIX,3953,VKO,2988,,0,73G BT,333,RIX,3953,VNO,3959,,0,DH4 73C 735 BT,333,RIX,3953,WAW,679,,0,DH4 BT,333,RIX,3953,ZRH,1678,,0,735 BT,333,SAW,4317,RIX,3953,,0,735 BT,333,SVG,666,RIX,3953,,0,735 DH4 BT,333,SVO,2985,RIX,3953,,0,73C 733 735 BT,333,TAS,2983,RIX,3953,Y,0,763 BT,333,TBS,3973,RIX,3953,,0,73C 735 BT,333,TKU,460,RIX,3953,,0,DH4 BT,333,TLL,415,RIX,3953,,0,73C DH4 BT,333,TLV,1590,RIX,3953,,0,73C 735 BT,333,TXL,351,RIX,3953,,0,DH4 735 BT,333,VCE,1551,RIX,3953,,0,73C 735 BT,333,VIE,1613,RIX,3953,,0,73C 735 DH4 733 BT,333,VKO,2988,RIX,3953,,0,73G BT,333,VNO,3959,BRU,302,Y,0,AR1 319 BT,333,VNO,3959,RIX,3953,,0,73C DH4 735 BT,333,WAW,679,RIX,3953,,0,DH4 BT,333,ZRH,1678,RIX,3953,,0,735 BU,16508,BKY,1035,KND,1037,,0,100 BU,16508,BKY,1035,KOO,11290,,0,F50 BU,16508,BNB,11230,MDK,1026,,0,L4T BU,16508,BNC,11229,BUX,1033,,0,F50 BU,16508,BNC,11229,GOM,1036,,0,F50 BU,16508,BUX,1033,BNC,11229,,0,F50 BU,16508,BUX,1033,GOM,1036,,0,F50 BU,16508,BUX,1033,IRP,1032,,0,F50 BU,16508,FBM,1038,FIH,1020,,0,320 BU,16508,FBM,1038,JNB,813,,0,320 BU,16508,FBM,1038,KGA,1042,,0,320 BU,16508,FBM,1038,MJM,1043,,0,320 BU,16508,FIH,1020,BNB,11230,,0,L4T BU,16508,FIH,1020,FBM,1038,,0,320 BU,16508,FIH,1020,FKI,1031,,0,320 BU,16508,FIH,1020,KGA,1042,,0,100 BU,16508,FIH,1020,KND,1037,,0,100 BU,16508,FIH,1020,MDK,1026,,0,320 BU,16508,FIH,1020,MJM,1043,,0,100 320 BU,16508,FIH,1020,TSH,5652,,0,L4T BU,16508,FKI,1031,FIH,1020,,0,320 BU,16508,FKI,1031,GOM,1036,,0,320 BU,16508,GMA,1028,MDK,1026,,0,320 BU,16508,GOM,1036,BKY,1035,,0,F50 BU,16508,GOM,1036,BNC,11229,,0,F50 BU,16508,GOM,1036,FKI,1031,,0,320 BU,16508,IRP,1032,FKI,1031,,0,F50 BU,16508,JNB,813,FBM,1038,,0,320 BU,16508,KGA,1042,FBM,1038,,0,100 BU,16508,KGA,1042,FIH,1020,,0,320 BU,16508,KGA,1042,TSH,5652,,0,L4T BU,16508,KND,1037,BKY,1035,,0,100 BU,16508,KND,1037,FIH,1020,,0,100 BU,16508,KOO,11290,FMI,1040,,0,F50 BU,16508,LJA,5653,FIH,1020,,0,L4T BU,16508,MDK,1026,FIH,1020,,0,320 L4T BU,16508,MDK,1026,GMA,1028,,0,320 BU,16508,MJM,1043,FBM,1038,,0,320 BU,16508,MJM,1043,FIH,1020,,0,100 320 BU,16508,TSH,5652,FIH,1020,,0,L4T BU,16508,TSH,5652,KGA,1042,,0,L4T BV,1463,BGY,1525,TIA,1190,,0,737 BV,1463,BLQ,1538,TIA,1190,,0,737 BV,1463,BRI,1501,CTA,1509,,0,737 BV,1463,BRI,1501,PMO,1512,,0,737 BV,1463,CTA,1509,BRI,1501,,0,737 BV,1463,CTA,1509,FCO,1555,,0,737 BV,1463,CUN,1852,FCO,1555,,0,767 BV,1463,CUN,1852,MXP,1524,,0,767 BV,1463,CYO,1903,MXP,1524,,0,767 BV,1463,DME,4029,FCO,1555,,0,737 BV,1463,FCO,1555,CTA,1509,,0,737 BV,1463,FCO,1555,DME,4029,,0,737 BV,1463,FCO,1555,HAV,1909,,0,767 BV,1463,FCO,1555,LRM,1759,,0,767 BV,1463,FCO,1555,MXP,1524,,0,737 767 BV,1463,FCO,1555,PMO,1512,,0,737 BV,1463,FCO,1555,REG,1514,,0,737 BV,1463,FCO,1555,TIA,1190,,0,737 BV,1463,FCO,1555,TRN,1526,,0,737 BV,1463,HAV,1909,CUN,1852,,0,767 BV,1463,HAV,1909,CYO,1903,,0,767 BV,1463,HAV,1909,HOG,1910,,0,767 BV,1463,HAV,1909,MXP,1524,,0,767 BV,1463,HAV,1909,SCU,1905,,0,767 BV,1463,HOG,1910,MXP,1524,,0,767 BV,1463,LIN,1529,REG,1514,,0,737 BV,1463,LRM,1759,FCO,1555,,0,767 BV,1463,LRM,1759,MXP,1524,,0,767 BV,1463,MXP,1524,CUN,1852,,0,767 BV,1463,MXP,1524,FCO,1555,,0,737 767 BV,1463,MXP,1524,HAV,1909,,0,767 BV,1463,MXP,1524,LRM,1759,,0,767 BV,1463,MXP,1524,TIA,1190,,0,737 BV,1463,PMO,1512,BRI,1501,,0,737 BV,1463,PMO,1512,FCO,1555,,0,737 BV,1463,PSA,1562,TIA,1190,,0,737 BV,1463,REG,1514,FCO,1555,,0,737 BV,1463,REG,1514,LIN,1529,,0,737 BV,1463,SCU,1905,FCO,1555,,0,767 BV,1463,TIA,1190,BGY,1525,,0,737 BV,1463,TIA,1190,BLQ,1538,,0,737 BV,1463,TIA,1190,FCO,1555,,0,737 BV,1463,TIA,1190,MXP,1524,,0,737 BV,1463,TIA,1190,PSA,1562,,0,737 BV,1463,TIA,1190,VCE,1551,,0,737 BV,1463,TIA,1190,VRN,1550,,0,737 BV,1463,TRN,1526,FCO,1555,,0,737 BV,1463,VCE,1551,TIA,1190,,0,737 BV,1463,VRN,1550,TIA,1190,,0,737 BW,1663,ANU,2874,BGI,2875,,0,738 BW,1663,ANU,2874,KIN,1779,,0,738 BW,1663,BGI,2875,ANU,2874,,0,738 BW,1663,BGI,2875,KIN,1779,,0,738 BW,1663,BGI,2875,POS,2902,,0,ATR 738 BW,1663,BGI,2875,SXM,2899,,0,738 BW,1663,CCS,2851,POS,2902,,0,ATR BW,1663,FLL,3533,KIN,1779,,0,738 BW,1663,FLL,3533,MBJ,1780,,0,738 BW,1663,FLL,3533,POS,2902,,0,738 BW,1663,GEO,4304,JFK,3797,,0,767 BW,1663,GEO,4304,POS,2902,,0,738 767 BW,1663,GEO,4304,YYZ,193,,0,767 738 BW,1663,GND,2882,JFK,3797,,0,738 BW,1663,GND,2882,POS,2902,,0,ATR 738 BW,1663,GND,2882,YYZ,193,,0,738 BW,1663,JFK,3797,GEO,4304,,0,767 BW,1663,JFK,3797,GND,2882,,0,738 BW,1663,JFK,3797,KIN,1779,,0,738 BW,1663,JFK,3797,MBJ,1780,,0,738 BW,1663,JFK,3797,POS,2902,,0,738 BW,1663,JFK,3797,TAB,2901,,0,738 BW,1663,KIN,1779,ANU,2874,,0,738 BW,1663,KIN,1779,BGI,2875,,0,738 BW,1663,KIN,1779,FLL,3533,,0,738 BW,1663,KIN,1779,JFK,3797,,0,738 BW,1663,KIN,1779,MBJ,1780,,0,738 BW,1663,KIN,1779,MCO,3878,,0,738 BW,1663,KIN,1779,NAS,1953,,0,738 BW,1663,KIN,1779,POS,2902,,0,738 BW,1663,KIN,1779,SXM,2899,,0,738 BW,1663,KIN,1779,YYZ,193,,0,738 BW,1663,LGW,502,POS,2902,,0,767 BW,1663,MBJ,1780,FLL,3533,,0,738 BW,1663,MBJ,1780,JFK,3797,,0,738 BW,1663,MBJ,1780,KIN,1779,,0,738 BW,1663,MCO,3878,KIN,1779,,0,738 BW,1663,MCO,3878,POS,2902,,0,738 BW,1663,MIA,3576,POS,2902,,0,738 BW,1663,NAS,1953,KIN,1779,,0,738 BW,1663,PBM,2773,POS,2902,,0,738 BW,1663,POS,2902,BGI,2875,,0,ATR 738 BW,1663,POS,2902,CCS,2851,,0,ATR BW,1663,POS,2902,FLL,3533,,0,738 BW,1663,POS,2902,GEO,4304,,0,738 767 BW,1663,POS,2902,GND,2882,,0,ATR 738 BW,1663,POS,2902,JFK,3797,,0,738 BW,1663,POS,2902,KIN,1779,,0,738 BW,1663,POS,2902,LGW,502,,0,767 BW,1663,POS,2902,MCO,3878,,0,738 BW,1663,POS,2902,MIA,3576,,0,738 BW,1663,POS,2902,PBM,2773,,0,738 BW,1663,POS,2902,SLU,2893,,0,ATR BW,1663,POS,2902,TAB,2901,,0,ATR 738 BW,1663,POS,2902,YYZ,193,,0,738 BW,1663,SLU,2893,POS,2902,,0,ATR BW,1663,SXM,2899,BGI,2875,,0,738 BW,1663,SXM,2899,KIN,1779,,0,738 BW,1663,TAB,2901,JFK,3797,,0,738 BW,1663,TAB,2901,POS,2902,,0,ATR 738 BW,1663,YYZ,193,GEO,4304,,0,767 738 BW,1663,YYZ,193,GND,2882,,0,738 BW,1663,YYZ,193,KIN,1779,,0,738 BW,1663,YYZ,193,POS,2902,,0,738 BX,5982,CEB,4206,PUS,2372,,0,320 321 BX,5982,CSX,3371,PUS,2372,,0,321 BX,5982,FUK,2305,PUS,2372,,0,320 BX,5982,HKG,3077,PUS,2372,,0,321 BX,5982,KHH,2264,PUS,2372,,0,734 BX,5982,KIX,3992,PUS,2372,,0,321 BX,5982,MFM,3121,PUS,2372,,0,321 BX,5982,NRT,2279,PUS,2372,,0,321 BX,5982,PUS,2372,CEB,4206,,0,321 320 BX,5982,PUS,2372,CSX,3371,,0,321 BX,5982,PUS,2372,FUK,2305,,0,320 BX,5982,PUS,2372,HKG,3077,,0,321 BX,5982,PUS,2372,KHH,2264,,0,734 BX,5982,PUS,2372,KIX,3992,,0,321 BX,5982,PUS,2372,MFM,3121,,0,321 BX,5982,PUS,2372,NRT,2279,,0,321 BX,5982,PUS,2372,REP,3035,,0,321 BX,5982,PUS,2372,TAO,3390,,0,734 BX,5982,PUS,2372,TPE,2276,,0,321 734 BX,5982,PUS,2372,TYN,3369,,0,734 BX,5982,PUS,2372,WUH,3376,,0,734 BX,5982,PUS,2372,XIY,3379,,0,321 BX,5982,REP,3035,PUS,2372,,0,321 BX,5982,TAO,3390,PUS,2372,,0,734 BX,5982,TPE,2276,PUS,2372,,0,321 734 BX,5982,TYN,3369,PUS,2372,,0,734 BX,5982,WUH,3376,PUS,2372,,0,734 BX,5982,XIY,3379,PUS,2372,,0,321 C8,1750,BSG,890,COO,245,,0,146 C8,1750,BSG,890,SSG,891,,0,146 C8,1750,COO,245,BSG,890,,0,146 C8,1750,COO,245,SSG,891,,0,146 C8,1750,DLA,897,SSG,891,,0,146 C8,1750,SSG,891,BSG,890,,0,146 C8,1750,SSG,891,COO,245,,0,146 C8,1750,SSG,891,DLA,897,,0,146 CA,751,ADD,1107,CAN,3370,,0,77W CA,751,ADD,1107,PEK,3364,,0,77L CA,751,AKL,2006,PVG,3406,Y,0,763 772 CA,751,AKU,6404,CTU,3395,,0,320 CA,751,ARN,737,GOT,687,Y,0,73H 73W CA,751,ARN,737,GVA,1665,,0,736 73H 717 CA,751,ARN,737,HEL,421,,0,717 CA,751,ARN,737,PEK,3364,,0,333 CA,751,ARN,737,TMP,458,,0,S20 CA,751,ARN,737,VAA,462,,0,S20 CA,751,ATH,3941,MUC,346,,0,330 CA,751,ATL,3682,IAH,3550,Y,0,CRJ CA,751,BAV,6346,CAN,3370,Y,0,320 CA,751,BAV,6346,PEK,3364,,0,738 737 CA,751,BAV,6346,TSN,3368,Y,0,CR7 CA,751,BAV,6346,TYN,3369,Y,0,CR7 CA,751,BCN,1218,VIE,1613,,0,333 CA,751,BHY,6351,HGH,3386,,0,319 CA,751,BHY,6351,PEK,3364,,0,738 CA,751,BKK,3885,PEK,3364,,0,738 CA,751,BKK,3885,SZX,3374,Y,0,738 CA,751,BOM,2997,CTU,3395,,0,319 CA,751,BPX,6396,CTU,3395,,0,319 CA,751,CAI,1128,CAN,3370,Y,0,773 CA,751,CAI,1128,PEK,3364,Y,0,330 CA,751,CAN,3370,ADD,1107,,0,77W CA,751,CAN,3370,BAV,6346,Y,0,320 CA,751,CAN,3370,CAI,1128,Y,0,773 CA,751,CAN,3370,CGO,3375,Y,0,320 CA,751,CAN,3370,CGQ,4380,Y,0,738 CA,751,CAN,3370,CKG,3393,,0,738 737 CA,751,CAN,3370,CTU,3395,,0,321 319 320 CA,751,CAN,3370,CZX,4109,Y,0,320 CA,751,CAN,3370,DAX,6397,,0,737 CA,751,CAN,3370,GYS,6398,,0,737 CA,751,CAN,3370,HAK,4120,Y,0,738 320 CA,751,CAN,3370,HET,6345,,0,737 CA,751,CAN,3370,HFE,3389,,0,738 CA,751,CAN,3370,HGH,3386,,0,738 320 321 CA,751,CAN,3370,HRB,3400,Y,0,320 CA,751,CAN,3370,HYN,6384,Y,0,320 CA,751,CAN,3370,IST,1701,,0,330 343 CA,751,CAN,3370,JDZ,6380,Y,0,320 CA,751,CAN,3370,JJN,6386,Y,0,320 CA,751,CAN,3370,JZH,4301,,0,319 CA,751,CAN,3370,KHN,3384,,0,320 CA,751,CAN,3370,KMG,3382,,0,320 CA,751,CAN,3370,KWE,3394,,0,737 CA,751,CAN,3370,LYI,6385,,0,320 CA,751,CAN,3370,LZO,6399,,0,737 CA,751,CAN,3370,NKG,3388,,0,738 CA,751,CAN,3370,NNG,3373,Y,0,738 CA,751,CAN,3370,NRT,2279,Y,0,763 CA,751,CAN,3370,NTG,5475,,0,320 CA,751,CAN,3370,PEK,3364,,0,333 773 321 777 772 738 744 CA,751,CAN,3370,PVG,3406,,0,340 330 321 CA,751,CAN,3370,SHA,3391,,0,738 CA,751,CAN,3370,SHE,4144,Y,0,320 CA,751,CAN,3370,TAO,3390,Y,0,738 CA,751,CAN,3370,TNA,4108,Y,0,738 CA,751,CAN,3370,TSN,3368,,0,738 CA,751,CAN,3370,WNZ,6392,Y,0,738 320 CA,751,CAN,3370,WUH,3376,,0,738 CA,751,CAN,3370,WUS,6391,Y,0,738 CA,751,CAN,3370,WUX,6390,,0,738 CA,751,CAN,3370,WXN,6403,,0,737 CA,751,CAN,3370,XIY,3379,Y,0,738 320 CA,751,CAN,3370,XMN,3383,,0,320 CA,751,CAN,3370,YBP,4110,,0,737 CA,751,CAN,3370,YCU,6430,,0,737 CA,751,CAN,3370,YNT,3392,Y,0,738 CA,751,CDG,1382,PEK,3364,,0,773 CA,751,CDG,1382,PVG,3406,,0,330 CA,751,CGK,3275,XMN,3383,,0,738 CA,751,CGO,3375,CAN,3370,Y,0,320 CA,751,CGO,3375,CKG,3393,Y,0,738 CA,751,CGO,3375,CTU,3395,,0,320 CA,751,CGO,3375,DLC,3404,Y,0,738 CA,751,CGO,3375,HAK,4120,,0,320 CA,751,CGO,3375,HGH,3386,,0,319 CA,751,CGO,3375,HRB,3400,,0,320 CA,751,CGO,3375,KMG,3382,Y,0,320 CA,751,CGO,3375,KWE,3394,Y,0,738 CA,751,CGO,3375,KWL,3372,Y,0,738 CA,751,CGO,3375,LHW,3378,Y,0,738 CA,751,CGO,3375,MFM,3121,,0,320 319 CA,751,CGO,3375,MIG,6400,Y,0,CR2 CA,751,CGO,3375,NNG,3373,,0,320 CA,751,CGO,3375,PEK,3364,,0,738 CA,751,CGO,3375,SHE,4144,,0,320 CA,751,CGO,3375,SZX,3374,Y,0,320 738 CA,751,CGO,3375,TAO,3390,Y,0,738 CA,751,CGO,3375,TNA,4108,Y,0,CR2 738 CA,751,CGO,3375,TSN,3368,Y,0,738 CA,751,CGO,3375,URC,3399,Y,0,320 CA,751,CGO,3375,XMN,3383,Y,0,738 CA,751,CGO,3375,XNN,6366,,0,319 CA,751,CGQ,4380,CAN,3370,Y,0,738 CA,751,CGQ,4380,CTU,3395,,0,321 CA,751,CGQ,4380,INC,4085,,0,737 CA,751,CGQ,4380,NKG,3388,,0,320 CA,751,CGQ,4380,PEK,3364,,0,738 330 321 320 CA,751,CGQ,4380,SZX,3374,Y,0,320 738 CA,751,CGQ,4380,TAO,3390,,0,319 CA,751,CGQ,4380,TNA,4108,Y,0,738 CA,751,CGQ,4380,WUH,3376,Y,0,738 CA,751,CGQ,4380,YNT,3392,,0,320 CA,751,CHG,6772,PEK,3364,,0,737 CA,751,CIF,6342,PEK,3364,,0,738 CA,751,CIH,6343,CTU,3395,,0,319 CA,751,CJJ,6008,PEK,3364,Y,0,321 CA,751,CKG,3393,CAN,3370,,0,738 737 CA,751,CKG,3393,CGO,3375,Y,0,738 CA,751,CKG,3393,HGH,3386,,0,319 320 738 737 CA,751,CKG,3393,HKG,3077,,0,737 CA,751,CKG,3393,ICN,3930,,0,763 321 CA,751,CKG,3393,INC,4085,,0,737 CA,751,CKG,3393,JZH,4301,,0,737 CA,751,CKG,3393,KMG,3382,,0,737 CA,751,CKG,3393,KWE,3394,Y,0,738 CA,751,CKG,3393,KWL,3372,Y,0,738 CA,751,CKG,3393,LJG,4033,,0,737 CA,751,CKG,3393,LXA,4097,,0,319 CA,751,CKG,3393,MFM,3121,,0,319 320 CA,751,CKG,3393,NKG,3388,,0,737 738 CA,751,CKG,3393,PEK,3364,,0,738 773 330 737 321 CA,751,CKG,3393,PVG,3406,,0,738 737 CA,751,CKG,3393,SHA,3391,,0,737 CA,751,CKG,3393,SJW,6347,Y,0,738 CA,751,CKG,3393,SZX,3374,,0,738 737 CA,751,CKG,3393,TAO,3390,Y,0,738 CA,751,CKG,3393,TNA,4108,Y,0,738 CA,751,CKG,3393,TPE,2276,,0,M90 738 CA,751,CKG,3393,TSN,3368,,0,737 CA,751,CKG,3393,URC,3399,,0,737 CA,751,CKG,3393,WNZ,6392,,0,319 CA,751,CKG,3393,WUH,3376,Y,0,738 CA,751,CKG,3393,WUS,6391,Y,0,738 CA,751,CKG,3393,WUX,6390,,0,738 CA,751,CKG,3393,XIY,3379,,0,737 CA,751,CKG,3393,XMN,3383,,0,738 CA,751,CKG,3393,YTY,8876,,0,738 CA,751,CKG,3393,ZUH,6355,,0,738 CA,751,CNX,3931,PEK,3364,,0,738 CA,751,CNX,3931,WUH,3376,,0,320 CA,751,CPH,609,FRA,340,,0,320 319 CR9 CA,751,CPH,609,GVA,1665,,0,CR9 717 CA,751,CPH,609,PEK,3364,Y,0,343 CA,751,CSX,3371,CTU,3395,,0,321 319 CA,751,CSX,3371,HFE,3389,Y,0,738 CA,751,CSX,3371,KMG,3382,,0,738 737 CA,751,CSX,3371,PEK,3364,,0,321 738 CA,751,CSX,3371,TNA,4108,Y,0,738 CA,751,CSX,3371,TSN,3368,,0,738 737 CA,751,CSX,3371,XMN,3383,Y,0,738 CA,751,CTS,2287,PEK,3364,,0,738 CA,751,CTU,3395,AKU,6404,,0,320 CA,751,CTU,3395,BOM,2997,,0,319 CA,751,CTU,3395,BPX,6396,,0,319 CA,751,CTU,3395,CAN,3370,,0,321 319 320 CA,751,CTU,3395,CGO,3375,,0,320 CA,751,CTU,3395,CGQ,4380,,0,321 CA,751,CTU,3395,CIH,6343,,0,319 CA,751,CTU,3395,CSX,3371,,0,321 319 CA,751,CTU,3395,CZX,4109,,0,320 CA,751,CTU,3395,DCY,9310,,0,319 CA,751,CTU,3395,FOC,3385,,0,321 CA,751,CTU,3395,FRA,340,,0,330 CA,751,CTU,3395,HAK,4120,,0,319 CA,751,CTU,3395,HET,6345,Y,0,320 CA,751,CTU,3395,HFE,3389,,0,321 319 CA,751,CTU,3395,HGH,3386,,0,321 320 CA,751,CTU,3395,HKG,3077,,0,320 CA,751,CTU,3395,HRB,3400,,0,321 CA,751,CTU,3395,ICN,3930,Y,0,321 CA,751,CTU,3395,INC,4085,,0,321 CA,751,CTU,3395,JDZ,6380,Y,0,738 CA,751,CTU,3395,JZH,4301,,0,319 CA,751,CTU,3395,KHG,3397,,0,319 CA,751,CTU,3395,KHI,2206,,0,320 CA,751,CTU,3395,KHN,3384,,0,321 CA,751,CTU,3395,KMG,3382,,0,319 320 CA,751,CTU,3395,KRL,6407,,0,320 CA,751,CTU,3395,KTM,3125,,0,319 CA,751,CTU,3395,KWE,3394,,0,321 320 CA,751,CTU,3395,KWL,3372,,0,319 CA,751,CTU,3395,LHW,3378,,0,320 319 CA,751,CTU,3395,LJG,4033,,0,320 CA,751,CTU,3395,LXA,4097,,0,319 330 CA,751,CTU,3395,LZY,6402,,0,319 CA,751,CTU,3395,MFM,3121,,0,321 319 320 CA,751,CTU,3395,NGB,3387,,0,319 CA,751,CTU,3395,NKG,3388,,0,321 CA,751,CTU,3395,NNG,3373,,0,321 CA,751,CTU,3395,NRT,2279,Y,0,763 CA,751,CTU,3395,PEK,3364,,0,321 333 330 320 777 738 CA,751,CTU,3395,PVG,3406,,0,319 340 320 321 330 CA,751,CTU,3395,PZI,6435,,0,319 CA,751,CTU,3395,SHA,3391,,0,333 CA,751,CTU,3395,SHE,4144,,0,321 CA,751,CTU,3395,SIN,3316,,0,320 CA,751,CTU,3395,SWA,4302,,0,319 CA,751,CTU,3395,SYX,4030,,0,320 319 CA,751,CTU,3395,SZX,3374,,0,319 321 CA,751,CTU,3395,TAO,3390,,0,321 CA,751,CTU,3395,TNA,4108,,0,320 CA,751,CTU,3395,TPE,2276,,0,332 330 CA,751,CTU,3395,TSN,3368,,0,738 CA,751,CTU,3395,TYN,3369,,0,321 CA,751,CTU,3395,URC,3399,,0,320 CA,751,CTU,3395,UYN,6368,,0,319 CA,751,CTU,3395,WNZ,6392,,0,320 CA,751,CTU,3395,WUH,3376,,0,320 CA,751,CTU,3395,WUX,6390,Y,0,738 CA,751,CTU,3395,XIC,3396,,0,319 320 CA,751,CTU,3395,XIY,3379,,0,738 CA,751,CTU,3395,XMN,3383,,0,320 CA,751,CTU,3395,XNN,6366,,0,320 CA,751,CTU,3395,YCU,6430,,0,319 CA,751,CTU,3395,YIN,6409,,0,319 CA,751,CTU,3395,YIW,6394,,0,319 CA,751,CTU,3395,YNT,3392,,0,319 CA,751,CTU,3395,ZHA,6357,,0,319 CA,751,CTU,3395,ZUH,6355,,0,319 CA,751,CUN,1852,IAH,3550,,0,739 CA,751,CZX,4109,CAN,3370,Y,0,320 CA,751,CZX,4109,CTU,3395,,0,320 CA,751,CZX,4109,HRB,3400,Y,0,320 CA,751,CZX,4109,PEK,3364,,0,738 CA,751,CZX,4109,SHE,4144,Y,0,320 CA,751,CZX,4109,SZX,3374,Y,0,320 CA,751,DAT,6344,PEK,3364,,0,738 CA,751,DAX,6397,CAN,3370,,0,737 CA,751,DAX,6397,KMG,3382,,0,737 CA,751,DAX,6397,PEK,3364,,0,737 CA,751,DAX,6397,SZX,3374,,0,319 CA,751,DCY,9310,CTU,3395,,0,319 CA,751,DDG,6433,PEK,3364,,0,738 CA,751,DEL,3093,PEK,3364,,0,333 CA,751,DLC,3404,CGO,3375,Y,0,738 CA,751,DLC,3404,FUK,2305,,0,738 CA,751,DLC,3404,HFE,3389,Y,0,738 CA,751,DLC,3404,HGH,3386,,0,738 CA,751,DLC,3404,HIJ,2326,,0,738 CA,751,DLC,3404,HKG,3077,,0,738 CA,751,DLC,3404,HRB,3400,,0,320 CA,751,DLC,3404,ICN,3930,Y,0,321 CA,751,DLC,3404,KIX,3992,,0,738 CA,751,DLC,3404,NKG,3388,,0,738 CA,751,DLC,3404,NRT,2279,,0,738 CA,751,DLC,3404,NTG,5475,Y,0,738 CA,751,DLC,3404,PEK,3364,,0,738 CA,751,DLC,3404,PVG,3406,,0,738 CA,751,DLC,3404,SZX,3374,Y,0,738 CA,751,DLC,3404,TAO,3390,Y,0,738 CR2 CA,751,DLC,3404,TNA,4108,Y,0,CR2 CA,751,DLC,3404,TSN,3368,,0,738 CA,751,DLC,3404,TYN,3369,,0,738 CA,751,DLC,3404,WUX,6390,,0,738 CA,751,DLC,3404,XIY,3379,,0,738 320 CA,751,DQA,9845,PEK,3364,,0,738 CA,751,DSN,6434,PEK,3364,,0,738 CA,751,DSN,6434,TYN,3369,Y,0,CR2 CA,751,DUS,345,PEK,3364,,0,330 CA,751,DXB,2188,PEK,3364,,0,333 CA,751,DYG,6353,PEK,3364,,0,737 738 CA,751,EWR,3494,PEK,3364,Y,0,777 CA,751,EWR,3494,PVG,3406,Y,0,777 CA,751,FCO,1555,PEK,3364,,0,330 CA,751,FNJ,3377,PEK,3364,,0,737 CA,751,FOC,3385,CTU,3395,,0,321 CA,751,FOC,3385,HAK,4120,Y,0,CR2 CA,751,FOC,3385,JDZ,6380,,0,320 CA,751,FOC,3385,KWL,3372,Y,0,738 CA,751,FOC,3385,NKG,3388,Y,0,320 738 CA,751,FOC,3385,PEK,3364,,0,738 CA,751,FOC,3385,TNA,4108,Y,0,CR2 CA,751,FOC,3385,WUX,6390,Y,0,738 CA,751,FOC,3385,ZUH,6355,Y,0,738 CA,751,FRA,340,CPH,609,,0,320 319 321 CA,751,FRA,340,CTU,3395,,0,330 CA,751,FRA,340,NKG,3388,Y,0,343 CA,751,FRA,340,PEK,3364,,0,773 CA,751,FRA,340,PVG,3406,,0,330 CA,751,FRA,340,SHE,4144,Y,0,343 CA,751,FUG,7503,PEK,3364,,0,737 CA,751,FUK,2305,DLC,3404,,0,738 CA,751,FUK,2305,PVG,3406,,0,320 CA,751,GMP,2378,PEK,3364,,0,738 333 CA,751,GOT,687,ARN,737,Y,0,73W 717 736 73H CA,751,GRU,2564,MAD,1229,,0,330 CA,751,GVA,1665,ARN,737,,0,736 73H 717 CA,751,GVA,1665,CPH,609,,0,CR9 717 CA,751,GVA,1665,PEK,3364,,0,330 CA,751,GYS,6398,CAN,3370,,0,737 CA,751,GYS,6398,HGH,3386,,0,319 CA,751,GYS,6398,PEK,3364,,0,737 CA,751,GYS,6398,SZX,3374,,0,319 CA,751,HAK,4120,CAN,3370,Y,0,320 738 CA,751,HAK,4120,CGO,3375,,0,320 CA,751,HAK,4120,CTU,3395,,0,319 CA,751,HAK,4120,FOC,3385,Y,0,CR2 CA,751,HAK,4120,HGH,3386,,0,319 CA,751,HAK,4120,NKG,3388,,0,320 CA,751,HAK,4120,PEK,3364,,0,321 CA,751,HAK,4120,SZX,3374,Y,0,320 738 319 CA,751,HAK,4120,TSN,3368,,0,738 CA,751,HEL,421,ARN,737,,0,717 73W AT7 CA,751,HEL,421,PEK,3364,,0,333 CA,751,HEL,421,PVG,3406,,0,343 CA,751,HET,6345,CAN,3370,,0,737 CA,751,HET,6345,CTU,3395,Y,0,320 CA,751,HET,6345,HGH,3386,,0,319 CA,751,HET,6345,HLD,3366,,0,320 CA,751,HET,6345,PEK,3364,,0,737 738 321 CA,751,HET,6345,PVG,3406,,0,321 CA,751,HET,6345,SHE,4144,Y,0,320 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CA,751,HLD,3366,HET,6345,,0,320 CA,751,HLD,3366,HTA,2935,,0,737 CA,751,HLD,3366,PEK,3364,,0,738 737 CA,751,HLH,6349,PEK,3364,,0,737 CA,751,HMI,6743,KRL,6407,,0,737 CA,751,HMI,6743,PEK,3364,,0,737 CA,751,HND,2359,PEK,3364,,0,321 330 CA,751,HND,2359,SHA,3391,Y,0,777 CA,751,HNL,3728,PEK,3364,,0,330 CA,751,HRB,3400,CAN,3370,Y,0,320 CA,751,HRB,3400,CGO,3375,,0,320 CA,751,HRB,3400,CTU,3395,,0,321 CA,751,HRB,3400,CZX,4109,Y,0,320 CA,751,HRB,3400,DLC,3404,,0,320 CA,751,HRB,3400,PEK,3364,,0,738 321 CA,751,HRB,3400,SZX,3374,Y,0,320 738 CA,751,HRB,3400,TAO,3390,Y,0,738 CA,751,HRB,3400,TNA,4108,Y,0,738 CA,751,HRB,3400,TSN,3368,,0,738 CA,751,HRB,3400,TYN,3369,Y,0,320 CA,751,HRB,3400,XIY,3379,,0,737 CA,751,HRB,3400,YNT,3392,Y,0,738 CA,751,HSN,6395,JJN,6386,Y,0,320 CA,751,HTA,2935,HLD,3366,,0,737 CA,751,HTN,3398,URC,3399,,0,738 CA,751,HYN,6384,CAN,3370,Y,0,320 CA,751,HYN,6384,PEK,3364,,0,738 CA,751,HYN,6384,SZX,3374,,0,738 CA,751,HYN,6384,ZUH,6355,,0,738 CA,751,IAD,3714,PEK,3364,Y,0,777 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CA,751,KHN,3384,KWE,3394,Y,0,733 CA,751,KHN,3384,PEK,3364,,0,738 321 CA,751,KHN,3384,PVG,3406,Y,0,320 CA,751,KHN,3384,SZX,3374,Y,0,320 319 CA,751,KHN,3384,TAO,3390,Y,0,320 737 CA,751,KHN,3384,TNA,4108,Y,0,733 CA,751,KHN,3384,ZUH,6355,Y,0,737 CA,751,KIX,3992,DLC,3404,,0,738 CA,751,KIX,3992,HGH,3386,Y,0,737 CA,751,KIX,3992,PEK,3364,,0,321 738 CA,751,KIX,3992,PVG,3406,,0,320 330 CA,751,KIX,3992,TAO,3390,Y,0,763 CA,751,KIX,3992,TNA,4108,Y,0,738 CA,751,KMG,3382,CAN,3370,,0,320 CA,751,KMG,3382,CGO,3375,Y,0,320 CA,751,KMG,3382,CKG,3393,,0,737 CA,751,KMG,3382,CSX,3371,,0,738 737 CA,751,KMG,3382,CTU,3395,,0,320 319 CA,751,KMG,3382,DAX,6397,,0,737 CA,751,KMG,3382,HGH,3386,,0,319 CA,751,KMG,3382,KWE,3394,Y,0,738 CA,751,KMG,3382,NKG,3388,Y,0,738 CA,751,KMG,3382,PEK,3364,,0,738 CA,751,KMG,3382,PVG,3406,,0,738 CA,751,KMG,3382,RGN,3239,,0,319 CA,751,KMG,3382,SZX,3374,Y,0,738 CA,751,KMG,3382,TNA,4108,Y,0,738 CA,751,KMG,3382,TSN,3368,,0,738 CA,751,KMG,3382,TYN,3369,Y,0,320 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CA,751,KWL,3372,CTU,3395,,0,319 CA,751,KWL,3372,FOC,3385,Y,0,738 CA,751,KWL,3372,HGH,3386,,0,319 320 CA,751,KWL,3372,NGB,3387,Y,0,738 CA,751,KWL,3372,NKG,3388,Y,0,738 CA,751,KWL,3372,PEK,3364,,0,321 738 CA,751,KWL,3372,PVG,3406,,0,320 321 CA,751,KWL,3372,SZX,3374,Y,0,319 CA,751,KWL,3372,XIY,3379,,0,738 CA,751,KWL,3372,XMN,3383,Y,0,738 CA,751,LAX,3484,PEK,3364,,0,773 CA,751,LAX,3484,PVG,3406,Y,0,788 CA,751,LGW,502,PEK,3364,,0,330 CA,751,LHR,507,PEK,3364,,0,773 CA,751,LHR,507,PVG,3406,Y,0,346 CA,751,LHW,3378,CGO,3375,Y,0,738 CA,751,LHW,3378,CTU,3395,,0,320 319 CA,751,LHW,3378,HGH,3386,,0,319 CA,751,LHW,3378,PEK,3364,,0,738 CA,751,LHW,3378,TNA,4108,Y,0,738 CA,751,LHW,3378,TYN,3369,Y,0,738 CA,751,LHW,3378,URC,3399,Y,0,738 CA,751,LHW,3378,XIY,3379,Y,0,738 CA,751,LHW,3378,YCU,6430,Y,0,738 CA,751,LJG,4033,CKG,3393,,0,737 CA,751,LJG,4033,CTU,3395,,0,320 CA,751,LJG,4033,HGH,3386,,0,319 CA,751,LJG,4033,PEK,3364,,0,320 CA,751,LXA,4097,CKG,3393,,0,319 CA,751,LXA,4097,CTU,3395,,0,330 319 CA,751,LXA,4097,KTM,3125,,0,319 330 CA,751,LXA,4097,PEK,3364,,0,319 CA,751,LYI,6385,CAN,3370,,0,320 CA,751,LYI,6385,SHE,4144,,0,320 CA,751,LZH,6356,PEK,3364,,0,738 CA,751,LZO,6399,CAN,3370,,0,737 CA,751,LZY,6402,CTU,3395,,0,319 CA,751,MAD,1229,GRU,2564,,0,330 CA,751,MAD,1229,PEK,3364,,0,330 CA,751,MDG,3402,PEK,3364,,0,738 CA,751,MEL,3339,PVG,3406,,0,330 CA,751,MEX,1824,IAH,3550,,0,ERJ 320 CA,751,MFM,3121,CGO,3375,,0,320 319 CA,751,MFM,3121,CKG,3393,,0,319 320 CA,751,MFM,3121,CTU,3395,,0,321 319 320 CA,751,MFM,3121,HFE,3389,,0,320 321 CA,751,MFM,3121,HGH,3386,,0,321 320 319 CA,751,MFM,3121,NGB,3387,,0,320 319 CA,751,MFM,3121,NKG,3388,,0,321 CA,751,MFM,3121,NNG,3373,,0,319 320 321 CA,751,MFM,3121,PEK,3364,,0,320 321 319 CA,751,MFM,3121,PVG,3406,,0,321 CA,751,MFM,3121,SHA,3391,,0,321 320 319 CA,751,MFM,3121,SHE,4144,,0,319 CA,751,MFM,3121,TYN,3369,,0,320 319 CA,751,MFM,3121,WUH,3376,,0,320 CA,751,MFM,3121,XMN,3383,,0,319 321 CA,751,MIG,6400,CGO,3375,Y,0,CR2 CA,751,MIG,6400,PEK,3364,,0,738 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CA,751,PEK,3364,CZX,4109,,0,738 CA,751,PEK,3364,DAT,6344,,0,738 CA,751,PEK,3364,DAX,6397,,0,737 CA,751,PEK,3364,DDG,6433,,0,738 CA,751,PEK,3364,DEL,3093,,0,333 CA,751,PEK,3364,DLC,3404,,0,738 CA,751,PEK,3364,DQA,9845,,0,738 CA,751,PEK,3364,DSN,6434,,0,738 CA,751,PEK,3364,DUS,345,,0,330 CA,751,PEK,3364,DXB,2188,,0,333 CA,751,PEK,3364,DYG,6353,,0,737 738 CA,751,PEK,3364,EWR,3494,Y,0,777 CA,751,PEK,3364,FCO,1555,,0,330 CA,751,PEK,3364,FNJ,3377,,0,737 CA,751,PEK,3364,FOC,3385,,0,738 CA,751,PEK,3364,FRA,340,,0,773 CA,751,PEK,3364,FUG,7503,,0,737 CA,751,PEK,3364,GMP,2378,,0,738 333 CA,751,PEK,3364,GVA,1665,,0,330 CA,751,PEK,3364,GYS,6398,,0,737 CA,751,PEK,3364,HAK,4120,,0,321 CA,751,PEK,3364,HEL,421,,0,333 CA,751,PEK,3364,HET,6345,,0,738 737 321 CA,751,PEK,3364,HFE,3389,,0,738 321 CA,751,PEK,3364,HGH,3386,,0,321 330 320 738 CA,751,PEK,3364,HKG,3077,,0,320 321 744 333 772 CA,751,PEK,3364,HKT,3179,,0,738 CA,751,PEK,3364,HLD,3366,,0,738 737 CA,751,PEK,3364,HLH,6349,,0,737 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CA,751,PEK,3364,SYX,4030,,0,321 330 CA,751,PEK,3364,SZX,3374,,0,772 738 333 330 777 321 CA,751,PEK,3364,TAE,2381,,0,738 CA,751,PEK,3364,TAO,3390,,0,321 738 CA,751,PEK,3364,TGO,6348,,0,737 CA,751,PEK,3364,TLV,1590,Y,0,763 CA,751,PEK,3364,TNA,4108,Y,0,738 CA,751,PEK,3364,TPE,2276,,0,333 77W 744 CA,751,PEK,3364,TXN,6387,,0,738 CA,751,PEK,3364,TYN,3369,,0,738 CA,751,PEK,3364,ULN,3380,,0,738 CA,751,PEK,3364,URC,3399,,0,738 772 321 CA,751,PEK,3364,VIE,1613,,0,333 CA,751,PEK,3364,WAW,679,Y,0,788 CA,751,PEK,3364,WNZ,6392,,0,738 320 319 CA,751,PEK,3364,WUA,6955,,0,738 CA,751,PEK,3364,WUH,3376,,0,320 CA,751,PEK,3364,WUX,6390,,0,738 CA,751,PEK,3364,XFN,6360,,0,738 CA,751,PEK,3364,XIL,6350,,0,738 CA,751,PEK,3364,XIY,3379,,0,738 333 321 CA,751,PEK,3364,XMN,3383,,0,738 321 CA,751,PEK,3364,XNN,6366,,0,738 CA,751,PEK,3364,YBP,4110,,0,737 CA,751,PEK,3364,YCU,6430,,0,738 CA,751,PEK,3364,YIC,9107,Y,0,320 CA,751,PEK,3364,YIH,6361,,0,738 CA,751,PEK,3364,YIW,6394,,0,738 CA,751,PEK,3364,YNJ,6414,,0,738 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738 CA,751,SZX,3374,CKG,3393,,0,738 737 CA,751,SZX,3374,CTU,3395,,0,319 321 CA,751,SZX,3374,CZX,4109,Y,0,320 CA,751,SZX,3374,DAX,6397,,0,319 CA,751,SZX,3374,DLC,3404,Y,0,738 CA,751,SZX,3374,GYS,6398,,0,319 CA,751,SZX,3374,HAK,4120,Y,0,320 738 319 CA,751,SZX,3374,HFE,3389,Y,0,738 320 CA,751,SZX,3374,HGH,3386,,0,319 320 CA,751,SZX,3374,HRB,3400,Y,0,320 738 CA,751,SZX,3374,HYN,6384,,0,738 CA,751,SZX,3374,JDZ,6380,Y,0,320 CA,751,SZX,3374,JJN,6386,,0,320 CA,751,SZX,3374,JUZ,6382,Y,0,320 CA,751,SZX,3374,KHN,3384,Y,0,320 319 CA,751,SZX,3374,KMG,3382,Y,0,738 CA,751,SZX,3374,KWE,3394,,0,321 CA,751,SZX,3374,KWL,3372,Y,0,319 CA,751,SZX,3374,MIG,6400,Y,0,320 738 CA,751,SZX,3374,NKG,3388,,0,738 CA,751,SZX,3374,NNG,3373,Y,0,738 CA,751,SZX,3374,NTG,5475,Y,0,738 CA,751,SZX,3374,PEK,3364,,0,777 333 772 738 330 321 CA,751,SZX,3374,PVG,3406,,0,321 320 CA,751,SZX,3374,SHA,3391,Y,0,738 CA,751,SZX,3374,SHE,4144,Y,0,320 CA,751,SZX,3374,SIN,3316,Y,0,738 CA,751,SZX,3374,SYX,4030,Y,0,320 CA,751,SZX,3374,TAO,3390,Y,0,320 738 CA,751,SZX,3374,TNA,4108,Y,0,738 CA,751,SZX,3374,TSN,3368,,0,738 CA,751,SZX,3374,TYN,3369,,0,738 CA,751,SZX,3374,WNZ,6392,Y,0,738 CA,751,SZX,3374,WUH,3376,,0,320 CA,751,SZX,3374,WUX,6390,,0,738 CA,751,SZX,3374,XFN,6360,Y,0,319 CA,751,SZX,3374,XIY,3379,Y,0,320 CA,751,SZX,3374,XMN,3383,Y,0,320 CA,751,SZX,3374,YBP,4110,,0,319 CA,751,SZX,3374,YCU,6430,Y,0,320 CA,751,SZX,3374,YIC,9107,Y,0,320 CA,751,SZX,3374,YIH,6361,Y,0,320 CA,751,SZX,3374,YNT,3392,Y,0,738 CA,751,SZX,3374,ZHA,6357,Y,0,738 CA,751,TAE,2381,PEK,3364,,0,738 CA,751,TAO,3390,CAN,3370,Y,0,738 CA,751,TAO,3390,CGO,3375,Y,0,738 CA,751,TAO,3390,CGQ,4380,,0,319 CA,751,TAO,3390,CKG,3393,Y,0,738 CA,751,TAO,3390,CTU,3395,,0,321 CA,751,TAO,3390,DLC,3404,Y,0,738 CR2 CA,751,TAO,3390,HFE,3389,Y,0,738 CA,751,TAO,3390,HGH,3386,,0,319 320 CA,751,TAO,3390,HRB,3400,Y,0,738 CA,751,TAO,3390,ICN,3930,,0,321 738 CA,751,TAO,3390,JNZ,6412,Y,0,CR7 CA,751,TAO,3390,KHN,3384,Y,0,737 320 CA,751,TAO,3390,KIX,3992,Y,0,763 CA,751,TAO,3390,NGB,3387,Y,0,738 CA,751,TAO,3390,NKG,3388,Y,0,738 CA,751,TAO,3390,NRT,2279,Y,0,763 CA,751,TAO,3390,PEK,3364,,0,738 321 CA,751,TAO,3390,PVG,3406,Y,0,738 CA,751,TAO,3390,SHA,3391,Y,0,738 CA,751,TAO,3390,SHE,4144,Y,0,738 343 CA,751,TAO,3390,SJW,6347,Y,0,738 CA,751,TAO,3390,SZX,3374,Y,0,320 738 CA,751,TAO,3390,TSN,3368,Y,0,738 CR7 CA,751,TAO,3390,TYN,3369,Y,0,738 CA,751,TAO,3390,WNZ,6392,Y,0,738 CA,751,TAO,3390,WUH,3376,Y,0,738 CA,751,TAO,3390,WUS,6391,Y,0,738 CA,751,TAO,3390,XIY,3379,Y,0,737 738 CA,751,TAO,3390,XMN,3383,Y,0,738 CA,751,TAO,3390,YCU,6430,Y,0,738 CA,751,TAO,3390,YNJ,6414,Y,0,737 CA,751,TGO,6348,PEK,3364,,0,737 CA,751,TLV,1590,PEK,3364,Y,0,763 CA,751,TMP,458,ARN,737,,0,S20 CA,751,TNA,4108,CAN,3370,Y,0,738 CA,751,TNA,4108,CGO,3375,Y,0,CR2 738 CA,751,TNA,4108,CGQ,4380,Y,0,738 CA,751,TNA,4108,CKG,3393,Y,0,738 CA,751,TNA,4108,CSX,3371,Y,0,738 CA,751,TNA,4108,CTU,3395,,0,320 CA,751,TNA,4108,DLC,3404,Y,0,CR2 CA,751,TNA,4108,FOC,3385,Y,0,CR2 CA,751,TNA,4108,HET,6345,Y,0,738 CA,751,TNA,4108,HGH,3386,Y,0,738 CA,751,TNA,4108,HRB,3400,Y,0,738 CA,751,TNA,4108,ICN,3930,Y,0,738 CA,751,TNA,4108,INC,4085,Y,0,CR2 738 CA,751,TNA,4108,KHN,3384,Y,0,733 CA,751,TNA,4108,KIX,3992,Y,0,738 CA,751,TNA,4108,KMG,3382,Y,0,738 CA,751,TNA,4108,KWE,3394,Y,0,738 CA,751,TNA,4108,LHW,3378,Y,0,738 CA,751,TNA,4108,PEK,3364,Y,0,738 CA,751,TNA,4108,SHA,3391,Y,0,738 CA,751,TNA,4108,SHE,4144,Y,0,738 CA,751,TNA,4108,SZX,3374,Y,0,738 CA,751,TNA,4108,TYN,3369,Y,0,CR7 CR2 CA,751,TNA,4108,URC,3399,Y,0,738 CA,751,TNA,4108,WNZ,6392,Y,0,738 CA,751,TNA,4108,WUH,3376,Y,0,738 CA,751,TNA,4108,XIY,3379,Y,0,738 CA,751,TNA,4108,XMN,3383,Y,0,CR2 738 CA,751,TNA,4108,YNT,3392,Y,0,CR2 738 CA,751,TPE,2276,CKG,3393,,0,M90 738 CA,751,TPE,2276,CTU,3395,,0,332 330 CA,751,TPE,2276,HET,6345,,0,321 CA,751,TPE,2276,HGH,3386,,0,321 332 M90 744 CA,751,TPE,2276,PEK,3364,,0,333 77W 744 CA,751,TPE,2276,PVG,3406,,0,744 340 77W CA,751,TPE,2276,WNZ,6392,,0,319 CA,751,TSA,2275,SHA,3391,,0,333 738 CA,751,TSA,2275,TSN,3368,,0,738 CA,751,TSN,3368,BAV,6346,Y,0,CR7 CA,751,TSN,3368,CAN,3370,,0,738 CA,751,TSN,3368,CGO,3375,Y,0,738 CA,751,TSN,3368,CKG,3393,,0,737 CA,751,TSN,3368,CSX,3371,,0,738 737 CA,751,TSN,3368,CTU,3395,,0,738 CA,751,TSN,3368,DLC,3404,,0,738 CA,751,TSN,3368,HAK,4120,,0,738 CA,751,TSN,3368,HET,6345,Y,0,738 CA,751,TSN,3368,HKG,3077,,0,738 CA,751,TSN,3368,HRB,3400,,0,738 CA,751,TSN,3368,ICN,3930,,0,738 CA,751,TSN,3368,KMG,3382,,0,738 CA,751,TSN,3368,NTG,5475,,0,320 CA,751,TSN,3368,SHA,3391,,0,738 CA,751,TSN,3368,SZX,3374,,0,738 CA,751,TSN,3368,TAO,3390,Y,0,738 CR7 CA,751,TSN,3368,TSA,2275,,0,738 CA,751,TSN,3368,XIY,3379,,0,738 CA,751,TSN,3368,XMN,3383,,0,738 CA,751,TSN,3368,YCU,6430,,0,738 737 CA,751,TXN,6387,PEK,3364,,0,738 CA,751,TYN,3369,BAV,6346,Y,0,CR7 CA,751,TYN,3369,CTU,3395,,0,321 CA,751,TYN,3369,DLC,3404,,0,738 CA,751,TYN,3369,DSN,6434,Y,0,CR2 CA,751,TYN,3369,HRB,3400,Y,0,320 CA,751,TYN,3369,KMG,3382,Y,0,320 CA,751,TYN,3369,LHW,3378,Y,0,738 CA,751,TYN,3369,MFM,3121,,0,320 319 CA,751,TYN,3369,NKG,3388,Y,0,738 CA,751,TYN,3369,PEK,3364,,0,738 CA,751,TYN,3369,SHE,4144,Y,0,320 CA,751,TYN,3369,SYX,4030,,0,738 CA,751,TYN,3369,SZX,3374,,0,738 CA,751,TYN,3369,TAO,3390,Y,0,738 CA,751,TYN,3369,TNA,4108,Y,0,CR7 CR2 CA,751,TYN,3369,URC,3399,Y,0,738 CA,751,ULN,3380,PEK,3364,,0,738 CA,751,URC,3399,CGO,3375,Y,0,320 CA,751,URC,3399,CKG,3393,,0,737 CA,751,URC,3399,CTU,3395,,0,320 CA,751,URC,3399,HTN,3398,,0,738 CA,751,URC,3399,INC,4085,Y,0,738 CA,751,URC,3399,KHG,3397,,0,738 CA,751,URC,3399,LHW,3378,Y,0,738 CA,751,URC,3399,PEK,3364,,0,738 772 321 CA,751,URC,3399,TNA,4108,Y,0,738 CA,751,URC,3399,TYN,3369,Y,0,738 CA,751,URC,3399,XIY,3379,,0,738 320 CA,751,URC,3399,YCU,6430,,0,320 CA,751,UYN,6368,CTU,3395,,0,319 CA,751,VAA,462,ARN,737,,0,AT7 CA,751,VIE,1613,BCN,1218,,0,333 CA,751,VIE,1613,PEK,3364,,0,333 CA,751,WAW,679,PEK,3364,Y,0,788 CA,751,WNZ,6392,CAN,3370,Y,0,738 320 CA,751,WNZ,6392,CKG,3393,,0,319 CA,751,WNZ,6392,CTU,3395,,0,320 CA,751,WNZ,6392,KMG,3382,,0,738 CA,751,WNZ,6392,KWE,3394,,0,319 CA,751,WNZ,6392,PEK,3364,,0,320 738 319 CA,751,WNZ,6392,PVG,3406,,0,319 320 CA,751,WNZ,6392,SHE,4144,,0,320 CA,751,WNZ,6392,SYX,4030,,0,320 CA,751,WNZ,6392,SZX,3374,Y,0,738 CA,751,WNZ,6392,TAO,3390,Y,0,738 CA,751,WNZ,6392,TNA,4108,Y,0,738 CA,751,WNZ,6392,TPE,2276,,0,319 CA,751,WNZ,6392,XIY,3379,,0,320 CA,751,WNZ,6392,ZUH,6355,Y,0,738 CA,751,WUA,6955,PEK,3364,,0,738 CA,751,WUH,3376,CAN,3370,,0,738 CA,751,WUH,3376,CGQ,4380,Y,0,738 CA,751,WUH,3376,CKG,3393,Y,0,738 CA,751,WUH,3376,CNX,3931,,0,320 CA,751,WUH,3376,CTU,3395,,0,320 CA,751,WUH,3376,HET,6345,,0,320 CA,751,WUH,3376,HKG,3077,,0,320 CA,751,WUH,3376,INC,4085,Y,0,738 CA,751,WUH,3376,KMG,3382,Y,0,738 CA,751,WUH,3376,KWE,3394,Y,0,738 CA,751,WUH,3376,MFM,3121,,0,320 CA,751,WUH,3376,NNG,3373,Y,0,738 CA,751,WUH,3376,PEK,3364,,0,320 CA,751,WUH,3376,SHE,4144,Y,0,738 CA,751,WUH,3376,SZX,3374,,0,320 CA,751,WUH,3376,TAO,3390,Y,0,738 CA,751,WUH,3376,TNA,4108,Y,0,738 CA,751,WUH,3376,WUX,6390,Y,0,738 CA,751,WUH,3376,XMN,3383,,0,320 CA,751,WUH,3376,XNN,6366,Y,0,320 CA,751,WUH,3376,YNT,3392,,0,320 CA,751,WUS,6391,CAN,3370,Y,0,738 CA,751,WUS,6391,CKG,3393,Y,0,738 CA,751,WUS,6391,TAO,3390,Y,0,738 CA,751,WUS,6391,XMN,3383,Y,0,738 CA,751,WUX,6390,CAN,3370,,0,738 CA,751,WUX,6390,CKG,3393,,0,738 CA,751,WUX,6390,CTU,3395,Y,0,738 CA,751,WUX,6390,DLC,3404,,0,738 CA,751,WUX,6390,FOC,3385,Y,0,738 CA,751,WUX,6390,PEK,3364,,0,738 CA,751,WUX,6390,SHE,4144,Y,0,320 738 CA,751,WUX,6390,SYX,4030,Y,0,320 CA,751,WUX,6390,SZX,3374,,0,738 CA,751,WUX,6390,WUH,3376,Y,0,738 CA,751,WUX,6390,XIY,3379,,0,738 CA,751,WUX,6390,XMN,3383,Y,0,738 CA,751,WXN,6403,CAN,3370,,0,737 CA,751,XFN,6360,PEK,3364,,0,738 CA,751,XFN,6360,SZX,3374,Y,0,319 CA,751,XIC,3396,CTU,3395,,0,319 320 CA,751,XIL,6350,PEK,3364,,0,738 CA,751,XIY,3379,CAN,3370,Y,0,738 320 CA,751,XIY,3379,CKG,3393,,0,737 CA,751,XIY,3379,CTU,3395,,0,738 CA,751,XIY,3379,DLC,3404,,0,320 738 CA,751,XIY,3379,HGH,3386,,0,319 320 CA,751,XIY,3379,HRB,3400,,0,737 CA,751,XIY,3379,INC,4085,,0,320 738 CA,751,XIY,3379,JDZ,6380,,0,320 CA,751,XIY,3379,KWE,3394,Y,0,738 CA,751,XIY,3379,KWL,3372,,0,738 CA,751,XIY,3379,LHW,3378,Y,0,738 CA,751,XIY,3379,NKG,3388,Y,0,738 CA,751,XIY,3379,NNG,3373,Y,0,320 CA,751,XIY,3379,PEK,3364,,0,321 738 333 CA,751,XIY,3379,PVG,3406,,0,321 320 CA,751,XIY,3379,SHE,4144,Y,0,320 CA,751,XIY,3379,SZX,3374,Y,0,320 CA,751,XIY,3379,TAO,3390,Y,0,737 738 CA,751,XIY,3379,TNA,4108,Y,0,738 CA,751,XIY,3379,TSN,3368,,0,738 CA,751,XIY,3379,URC,3399,,0,738 320 CA,751,XIY,3379,WNZ,6392,,0,320 CA,751,XIY,3379,WUX,6390,,0,738 CA,751,XIY,3379,XMN,3383,Y,0,738 CA,751,XIY,3379,XNN,6366,,0,320 CA,751,XIY,3379,YNT,3392,Y,0,320 CA,751,XIY,3379,YTY,8876,Y,0,320 CA,751,XMN,3383,CAN,3370,,0,320 CA,751,XMN,3383,CGK,3275,,0,738 CA,751,XMN,3383,CGO,3375,Y,0,738 CA,751,XMN,3383,CKG,3393,,0,738 CA,751,XMN,3383,CSX,3371,Y,0,738 CA,751,XMN,3383,CTU,3395,,0,320 CA,751,XMN,3383,HFE,3389,Y,0,738 CA,751,XMN,3383,HGH,3386,Y,0,738 CA,751,XMN,3383,JDZ,6380,Y,0,738 CA,751,XMN,3383,JIU,6381,Y,0,737 CA,751,XMN,3383,JUZ,6382,Y,0,738 CA,751,XMN,3383,KMG,3382,Y,0,738 CA,751,XMN,3383,KWE,3394,Y,0,737 738 CA,751,XMN,3383,KWL,3372,Y,0,738 CA,751,XMN,3383,MFM,3121,,0,319 321 CA,751,XMN,3383,NKG,3388,,0,738 CA,751,XMN,3383,NNG,3373,Y,0,738 CA,751,XMN,3383,NRT,2279,Y,0,763 CA,751,XMN,3383,NTG,5475,Y,0,738 CA,751,XMN,3383,PEK,3364,,0,738 321 CA,751,XMN,3383,SYX,4030,Y,0,CR2 CA,751,XMN,3383,SZX,3374,Y,0,320 CA,751,XMN,3383,TAO,3390,Y,0,738 CA,751,XMN,3383,TNA,4108,Y,0,738 CR2 CA,751,XMN,3383,TSN,3368,,0,738 CA,751,XMN,3383,WUH,3376,,0,320 CA,751,XMN,3383,WUS,6391,Y,0,738 CA,751,XMN,3383,WUX,6390,Y,0,738 CA,751,XMN,3383,XIY,3379,Y,0,738 CA,751,XMN,3383,YTY,8876,Y,0,320 CA,751,XMN,3383,ZUH,6355,Y,0,738 CA,751,XNN,6366,CGO,3375,,0,319 CA,751,XNN,6366,CTU,3395,,0,320 CA,751,XNN,6366,PEK,3364,,0,738 CA,751,XNN,6366,WUH,3376,Y,0,320 CA,751,XNN,6366,XIY,3379,,0,320 CA,751,YBP,4110,CAN,3370,,0,737 CA,751,YBP,4110,PEK,3364,,0,737 CA,751,YBP,4110,SZX,3374,,0,319 CA,751,YCU,6430,CAN,3370,,0,737 CA,751,YCU,6430,CTU,3395,,0,319 CA,751,YCU,6430,HGH,3386,,0,320 CA,751,YCU,6430,KMG,3382,,0,738 737 CA,751,YCU,6430,LHW,3378,Y,0,738 CA,751,YCU,6430,PEK,3364,,0,738 CA,751,YCU,6430,SZX,3374,Y,0,320 CA,751,YCU,6430,TAO,3390,Y,0,738 CA,751,YCU,6430,TSN,3368,,0,738 737 CA,751,YCU,6430,URC,3399,,0,320 CA,751,YIC,9107,PEK,3364,Y,0,320 CA,751,YIC,9107,SZX,3374,Y,0,320 CA,751,YIH,6361,PEK,3364,,0,738 CA,751,YIH,6361,SZX,3374,Y,0,320 CA,751,YIN,6409,CTU,3395,,0,319 CA,751,YIW,6394,CTU,3395,,0,319 CA,751,YIW,6394,PEK,3364,,0,738 CA,751,YNJ,6414,ICN,3930,,0,738 CA,751,YNJ,6414,PEK,3364,,0,738 CA,751,YNJ,6414,TAO,3390,Y,0,737 CA,751,YNT,3392,CAN,3370,Y,0,738 CA,751,YNT,3392,CGQ,4380,,0,320 CA,751,YNT,3392,CTU,3395,,0,319 CA,751,YNT,3392,HGH,3386,Y,0,738 CA,751,YNT,3392,HRB,3400,Y,0,738 CA,751,YNT,3392,ICN,3930,,0,321 CA,751,YNT,3392,NKG,3388,Y,0,738 CA,751,YNT,3392,PEK,3364,,0,738 CA,751,YNT,3392,PVG,3406,Y,0,738 CA,751,YNT,3392,SHA,3391,Y,0,738 CA,751,YNT,3392,SJW,6347,Y,0,738 CA,751,YNT,3392,SZX,3374,Y,0,738 CA,751,YNT,3392,TNA,4108,Y,0,738 CR2 CA,751,YNT,3392,WUH,3376,,0,320 CA,751,YNT,3392,XIY,3379,Y,0,320 CA,751,YNZ,6393,PEK,3364,,0,737 CA,751,YTY,8876,CKG,3393,,0,738 CA,751,YTY,8876,PEK,3364,,0,738 CA,751,YTY,8876,XIY,3379,Y,0,320 CA,751,YTY,8876,XMN,3383,Y,0,320 CA,751,YVR,156,PEK,3364,,0,330 CA,751,YVR,156,PVG,3406,Y,0,763 CA,751,YYZ,193,PEK,3364,Y,0,77W CA,751,YYZ,193,PVG,3406,Y,0,77L CA,751,ZHA,6357,CTU,3395,,0,319 CA,751,ZHA,6357,PEK,3364,,0,738 CA,751,ZHA,6357,SZX,3374,Y,0,738 CA,751,ZUH,6355,CKG,3393,,0,738 CA,751,ZUH,6355,CTU,3395,,0,319 CA,751,ZUH,6355,FOC,3385,Y,0,738 CA,751,ZUH,6355,HYN,6384,,0,738 CA,751,ZUH,6355,KHN,3384,Y,0,737 CA,751,ZUH,6355,KWE,3394,Y,0,738 CA,751,ZUH,6355,NNG,3373,,0,738 CA,751,ZUH,6355,PEK,3364,,0,738 321 CA,751,ZUH,6355,WNZ,6392,Y,0,738 CA,751,ZUH,6355,XMN,3383,Y,0,738 CA,751,ZYI,9846,PEK,3364,,0,738 CC,221,GUA,1767,SAP,1772,,0,L4T CC,221,GUA,1767,TGU,1776,,0,L4T CC,221,PEU,5832,TGU,1776,,0,SF3 CC,221,RTB,1774,GUA,1767,,0,L4T CC,221,RTB,1774,SAP,1772,,0,SF3 CC,221,RTB,1774,TGU,1776,,0,SF3 CC,221,SAP,1772,GUA,1767,,0,L4T CC,221,SAP,1772,RTB,1774,,0,SF3 CC,221,SAP,1772,TGU,1776,,0,SF3 CC,221,TGU,1776,GUA,1767,,0,L4T CC,221,TGU,1776,PEU,5832,,0,SF3 CC,221,TGU,1776,RTB,1774,,0,SF3 CC,221,TGU,1776,SAP,1772,,0,SF3 CE,3613,AJA,1324,AVN,1361,,0,ATR CE,3613,AVN,1361,AJA,1324,,0,ATR CE,3613,AVN,1361,LIG,1270,,0,ATR CE,3613,BES,1403,BOD,1264,,0,BEH CE,3613,BOD,1264,BES,1403,,0,BEH CE,3613,BOD,1264,RNS,1415,,0,BEH CE,3613,LIG,1270,AVN,1361,,0,ATR CE,3613,LIG,1270,LYS,1335,,0,ATR CE,3613,LYS,1335,LIG,1270,,0,ATR CE,3613,RNS,1415,BOD,1264,,0,BEH CG,1308,BNE,3320,POM,5,,0,737 CG,1308,BUA,5419,RAB,5435,,0,DH8 CG,1308,DAU,5421,LAE,4,,0,DH8 CG,1308,DAU,5421,POM,5,,0,DH8 DHT CG,1308,DAU,5421,UNG,5425,,0,DH8 CG,1308,GKA,1,HGU,3,,0,DH8 DHT CG,1308,GKA,1,LAE,4,,0,DH8 CG,1308,GKA,1,MAG,2,,0,DH8 CG,1308,GKA,1,POM,5,,0,DH8 CG,1308,GUR,5422,LSA,5980,,0,DH8 CG,1308,GUR,5422,MIS,5432,,0,DH8 CG,1308,GUR,5422,PNP,5423,,0,DH8 CG,1308,GUR,5422,POM,5,,0,DH8 CG,1308,HGU,3,GKA,1,,0,DH8 DHT CG,1308,HGU,3,LAE,4,,0,DH8 CG,1308,HGU,3,MAG,2,,0,DH8 CG,1308,HGU,3,MXH,5431,,0,DHT CG,1308,HGU,3,POM,5,,0,DH8 CG,1308,HGU,3,TBG,5434,,0,DH8 CG,1308,HGU,3,TIZ,5433,,0,DH8 CG,1308,HGU,3,WWK,6,,0,DH8 CG,1308,HKN,5424,LAE,4,,0,DH8 CG,1308,HKN,5424,POM,5,,0,DH8 CG,1308,HKN,5424,RAB,5435,,0,DH8 CG,1308,KVG,5428,RAB,5435,,0,DH8 CG,1308,LAE,4,DAU,5421,,0,DH8 CG,1308,LAE,4,GKA,1,,0,DH8 CG,1308,LAE,4,HGU,3,,0,DH8 CG,1308,LAE,4,HKN,5424,,0,DH8 CG,1308,LAE,4,MAG,2,,0,DH8 CG,1308,LAE,4,MAS,5430,,0,DH8 CG,1308,LAE,4,PNP,5423,,0,DH8 CG,1308,LAE,4,POM,5,,0,DH8 CG,1308,LAE,4,RAB,5435,,0,DH8 CG,1308,LNV,5979,POM,5,,0,DH8 CG,1308,LSA,5980,GUR,5422,,0,DH8 CG,1308,MAG,2,GKA,1,,0,DH8 CG,1308,MAG,2,HGU,3,,0,DH8 CG,1308,MAG,2,LAE,4,,0,DH8 CG,1308,MAG,2,WWK,6,,0,DH8 CG,1308,MAS,5430,LAE,4,,0,DH8 CG,1308,MIS,5432,GUR,5422,,0,DH8 CG,1308,MXH,5431,HGU,3,,0,DHT DH8 CG,1308,MXH,5431,POM,5,,0,DH8 CG,1308,PNP,5423,GUR,5422,,0,DH8 CG,1308,PNP,5423,LAE,4,,0,DH8 CG,1308,PNP,5423,POM,5,,0,DH8 CG,1308,PNP,5423,TFI,5984,,0,DH8 CG,1308,POM,5,BNE,3320,,0,737 CG,1308,POM,5,BUL,\N,,0,DH8 CG,1308,POM,5,DAU,5421,,0,DH8 DHT CG,1308,POM,5,GKA,1,,0,DH8 CG,1308,POM,5,GUR,5422,,0,DH8 CG,1308,POM,5,HGU,3,,0,DH8 CG,1308,POM,5,HKN,5424,,0,DH8 CG,1308,POM,5,LAE,4,,0,DH8 CG,1308,POM,5,LNV,5979,,0,DH8 CG,1308,POM,5,MXH,5431,,0,DH8 CG,1308,POM,5,PNP,5423,,0,DH8 CG,1308,POM,5,RAB,5435,,0,DH8 CG,1308,POM,5,TBG,5434,,0,DH8 CG,1308,POM,5,TFI,5984,,0,DH8 CG,1308,POM,5,TIZ,5433,,0,DH8 CG,1308,POM,5,UNG,5425,,0,DH8 CG,1308,RAB,5435,BUA,5419,,0,DH8 CG,1308,RAB,5435,HKN,5424,,0,DH8 CG,1308,RAB,5435,KVG,5428,,0,DH8 CG,1308,RAB,5435,LAE,4,,0,DH8 CG,1308,RAB,5435,LNV,5979,,0,DH8 CG,1308,RAB,5435,POM,5,,0,DH8 CG,1308,TBG,5434,HGU,3,,0,DH8 CG,1308,TBG,5434,POM,5,,0,DH8 CG,1308,TBG,5434,UNG,5425,,0,DH8 CG,1308,TFI,5984,PNP,5423,,0,DH8 CG,1308,TIZ,5433,HGU,3,,0,DH8 CG,1308,TIZ,5433,MXH,5431,,0,DH8 CG,1308,UNG,5425,DAU,5421,,0,DH8 CG,1308,UNG,5425,HGU,3,,0,DH8 CG,1308,UNG,5425,POM,5,,0,DH8 CG,1308,UNG,5425,TBG,5434,,0,DH8 CG,1308,WWK,6,HGU,3,,0,DH8 CG,1308,WWK,6,MAG,2,,0,DH8 CI,1756,AKL,2006,BNE,3320,,0,333 CI,1756,AKL,2006,SYD,3361,,0,333 CI,1756,AMS,580,BKK,3885,,0,343 CI,1756,AMS,580,LHR,507,,0,F70 CI,1756,AMS,580,MAN,478,Y,0,737 E90 F70 CI,1756,ATL,3682,DFW,3670,,0,74Y CI,1756,ATL,3682,LAX,3484,Y,0,763 CI,1756,ATL,3682,SFO,3469,Y,0,739 757 CI,1756,BKK,3885,AMS,580,,0,343 CI,1756,BKK,3885,DME,4029,,0,772 CI,1756,BKK,3885,KHH,2264,,0,738 CI,1756,BKK,3885,TPE,2276,,0,343 744 333 CI,1756,BNE,3320,AKL,2006,,0,333 CI,1756,BNE,3320,TPE,2276,,0,333 CI,1756,CAN,3370,TPE,2276,,0,744 CI,1756,CGK,3275,HKG,3077,,0,333 CI,1756,CGK,3275,TPE,2276,,0,343 CI,1756,CKG,3393,KHH,2264,,0,333 CI,1756,CTS,2287,TPE,2276,,0,744 738 CI,1756,CTU,3395,TPE,2276,,0,744 CI,1756,DEL,3093,FCO,1555,,0,333 CI,1756,DEL,3093,TPE,2276,,0,333 CI,1756,DLC,3404,TPE,2276,,0,333 CI,1756,DME,4029,BKK,3885,,0,772 CI,1756,DPS,3940,TPE,2276,,0,333 CI,1756,FCO,1555,DEL,3093,,0,333 CI,1756,FRA,340,TPE,2276,,0,744 CI,1756,FSZ,6476,TPE,2276,,0,333 738 CI,1756,FUK,2305,TPE,2276,,0,333 744 738 343 CI,1756,GMP,2378,TSA,2275,,0,738 CI,1756,GUA,1767,LAX,3484,Y,0,757 CI,1756,GUM,2246,TPE,2276,,0,333 CI,1756,HAK,4120,TPE,2276,,0,738 CI,1756,HAN,3199,TPE,2276,,0,333 343 CI,1756,HIJ,2326,TPE,2276,,0,738 CI,1756,HKG,3077,CGK,3275,,0,333 CI,1756,HKG,3077,KHH,2264,,0,333 E90 738 CI,1756,HKG,3077,TNN,2270,,0,E90 CI,1756,HKG,3077,TPE,2276,,0,333 738 744 343 CI,1756,HND,2359,TSA,2275,,0,333 CI,1756,HNL,3728,NRT,2279,,0,744 333 CI,1756,HNL,3728,TPE,2276,,0,333 CI,1756,IAH,3550,ATL,3682,Y,0,M88 717 CI,1756,ICN,3930,TPE,2276,,0,333 738 CI,1756,ISG,2387,TPE,2276,,0,738 CI,1756,JFK,3797,KIX,3992,,0,744 CI,1756,KHH,2264,BKK,3885,,0,738 CI,1756,KHH,2264,CKG,3393,,0,333 CI,1756,KHH,2264,HKG,3077,,0,333 E90 738 CI,1756,KHH,2264,KHN,3384,,0,738 CI,1756,KHH,2264,KIX,3992,,0,738 CI,1756,KHH,2264,MNL,2397,Y,0,E90 CI,1756,KHH,2264,NRT,2279,,0,738 CI,1756,KHH,2264,OKA,2384,,0,738 CI,1756,KHH,2264,PEK,3364,,0,333 CI,1756,KHH,2264,PVG,3406,,0,738 333 CI,1756,KHH,2264,SGN,3205,Y,0,321 CI,1756,KHH,2264,SIN,3316,,0,738 CI,1756,KHH,2264,SZX,3374,,0,333 CI,1756,KHN,3384,KHH,2264,,0,738 CI,1756,KHN,3384,TPE,2276,,0,333 343 CI,1756,KIX,3992,JFK,3797,,0,744 CI,1756,KIX,3992,KHH,2264,,0,738 CI,1756,KIX,3992,RMQ,2268,,0,738 CI,1756,KIX,3992,TPE,2276,,0,333 744 343 CI,1756,KMI,2308,TPE,2276,,0,738 CI,1756,KOJ,2307,TPE,2276,,0,738 CI,1756,KUL,3304,TPE,2276,,0,333 CI,1756,LAX,3484,ATL,3682,Y,0,757 73H 76W CI,1756,LAX,3484,GUA,1767,Y,0,757 CI,1756,LAX,3484,MSY,3861,Y,0,319 CI,1756,LAX,3484,TPE,2276,,0,744 CI,1756,LHR,507,AMS,580,,0,737 CI,1756,MNL,2397,KHH,2264,Y,0,E90 CI,1756,MNL,2397,TPE,2276,,0,333 738 343 CI,1756,MSY,3861,LAX,3484,Y,0,319 CI,1756,NGO,3942,TPE,2276,,0,333 738 744 CI,1756,NRT,2279,HNL,3728,,0,744 333 CI,1756,NRT,2279,KHH,2264,,0,738 CI,1756,NRT,2279,TPE,2276,,0,333 744 CI,1756,OKA,2384,KHH,2264,,0,738 CI,1756,OKA,2384,TPE,2276,,0,738 333 343 CI,1756,PEK,3364,KHH,2264,,0,333 CI,1756,PEK,3364,TPE,2276,,0,744 CI,1756,PEN,3308,TPE,2276,,0,738 CI,1756,PNH,3034,TPE,2276,,0,738 CI,1756,PUS,2372,TPE,2276,,0,738 333 CI,1756,PVG,3406,KHH,2264,,0,738 333 CI,1756,PVG,3406,TPE,2276,,0,744 333 CI,1756,RGN,3239,TPE,2276,,0,738 CI,1756,RMQ,2268,KIX,3992,,0,738 CI,1756,ROR,2256,TPE,2276,,0,738 CI,1756,SFO,3469,ATL,3682,Y,0,739 757 CI,1756,SFO,3469,TPE,2276,,0,744 CI,1756,SGN,3205,KHH,2264,Y,0,321 CI,1756,SGN,3205,TPE,2276,,0,343 333 CI,1756,SHA,3391,TSA,2275,,0,333 CI,1756,SIN,3316,KHH,2264,,0,738 CI,1756,SIN,3316,SUB,3928,,0,333 CI,1756,SIN,3316,TPE,2276,,0,333 738 CI,1756,SUB,3928,SIN,3316,,0,333 CI,1756,SYD,3361,AKL,2006,,0,333 CI,1756,SYD,3361,TPE,2276,,0,333 CI,1756,SYX,4030,TPE,2276,,0,738 CI,1756,SZX,3374,KHH,2264,,0,333 CI,1756,SZX,3374,TPE,2276,,0,744 CI,1756,TAK,2337,TPE,2276,,0,738 CI,1756,TAO,3390,TPE,2276,,0,744 CI,1756,TNN,2270,HKG,3077,,0,E90 CI,1756,TOY,2324,TPE,2276,,0,738 CI,1756,TPE,2276,BKK,3885,,0,744 333 343 CI,1756,TPE,2276,BNE,3320,,0,333 CI,1756,TPE,2276,CAN,3370,,0,744 CI,1756,TPE,2276,CGK,3275,,0,343 CI,1756,TPE,2276,CTS,2287,,0,744 738 CI,1756,TPE,2276,CTU,3395,,0,744 CI,1756,TPE,2276,DEL,3093,,0,333 CI,1756,TPE,2276,DLC,3404,,0,333 CI,1756,TPE,2276,DPS,3940,,0,333 CI,1756,TPE,2276,FRA,340,,0,744 CI,1756,TPE,2276,FSZ,6476,,0,333 738 CI,1756,TPE,2276,FUK,2305,,0,333 744 738 343 CI,1756,TPE,2276,GUM,2246,,0,333 CI,1756,TPE,2276,HAK,4120,,0,738 CI,1756,TPE,2276,HAN,3199,,0,333 343 CI,1756,TPE,2276,HIJ,2326,,0,738 CI,1756,TPE,2276,HKG,3077,,0,738 744 333 343 CI,1756,TPE,2276,HND,2359,,0,333 CI,1756,TPE,2276,HNL,3728,,0,333 CI,1756,TPE,2276,ICN,3930,,0,333 738 CI,1756,TPE,2276,ISG,2387,,0,738 CI,1756,TPE,2276,KHN,3384,,0,333 343 CI,1756,TPE,2276,KIX,3992,,0,744 333 343 CI,1756,TPE,2276,KMI,2308,,0,738 CI,1756,TPE,2276,KOJ,2307,,0,738 CI,1756,TPE,2276,KUL,3304,,0,333 CI,1756,TPE,2276,LAX,3484,,0,744 CI,1756,TPE,2276,MNL,2397,,0,333 738 343 CI,1756,TPE,2276,NGO,3942,,0,333 738 744 CI,1756,TPE,2276,NRT,2279,,0,333 744 CI,1756,TPE,2276,OKA,2384,,0,738 333 744 343 CI,1756,TPE,2276,PEK,3364,,0,744 CI,1756,TPE,2276,PEN,3308,,0,738 CI,1756,TPE,2276,PNH,3034,,0,738 CI,1756,TPE,2276,PUS,2372,,0,738 333 CI,1756,TPE,2276,PVG,3406,,0,744 333 CI,1756,TPE,2276,RGN,3239,,0,738 CI,1756,TPE,2276,ROR,2256,,0,738 CI,1756,TPE,2276,SFO,3469,,0,744 CI,1756,TPE,2276,SGN,3205,,0,343 333 CI,1756,TPE,2276,SIN,3316,,0,738 333 CI,1756,TPE,2276,SYD,3361,,0,333 CI,1756,TPE,2276,SYX,4030,,0,738 CI,1756,TPE,2276,SZX,3374,,0,744 CI,1756,TPE,2276,TAK,2337,,0,738 CI,1756,TPE,2276,TAO,3390,,0,744 CI,1756,TPE,2276,TOY,2324,,0,738 CI,1756,TPE,2276,URC,3399,,0,333 CI,1756,TPE,2276,VIE,1613,,0,343 CI,1756,TPE,2276,WUH,3376,,0,333 CI,1756,TPE,2276,WUX,6390,Y,0,321 CI,1756,TPE,2276,XIY,3379,,0,333 CI,1756,TPE,2276,YVR,156,,0,343 CI,1756,TSA,2275,GMP,2378,,0,738 CI,1756,TSA,2275,HND,2359,,0,333 CI,1756,TSA,2275,SHA,3391,,0,333 CI,1756,URC,3399,TPE,2276,,0,333 CI,1756,VIE,1613,TPE,2276,,0,343 CI,1756,WUH,3376,TPE,2276,,0,333 CI,1756,WUX,6390,TPE,2276,Y,0,321 CI,1756,XIY,3379,TPE,2276,,0,333 CI,1756,YVR,156,TPE,2276,,0,343 CM,1889,ADZ,2749,BAQ,2710,Y,0,E90 CM,1889,ADZ,2749,BOG,2709,Y,0,E90 CM,1889,ADZ,2749,CLO,2715,Y,0,E90 CM,1889,ADZ,2749,CTG,2714,Y,0,E90 CM,1889,ADZ,2749,MDE,2745,Y,0,E90 CM,1889,ADZ,2749,PEI,2739,Y,0,E90 CM,1889,ADZ,2749,PTY,1871,,0,E90 CM,1889,ASU,2699,PTY,1871,,0,738 73G CM,1889,AUA,2895,PTY,1871,,0,738 E90 CM,1889,BAQ,2710,ADZ,2749,Y,0,E90 CM,1889,BAQ,2710,BOG,2709,,0,320 318 CM,1889,BAQ,2710,PTY,1871,,0,E90 CM,1889,BGA,2708,BOG,2709,,0,320 319 CM,1889,BGA,2708,PTY,1871,,0,E90 CM,1889,BOG,2709,ADZ,2749,,0,320 CM,1889,BOG,2709,BAQ,2710,,0,320 318 319 CM,1889,BOG,2709,BGA,2708,,0,319 320 318 CM,1889,BOG,2709,CCS,2851,Y,0,E90 73G CM,1889,BOG,2709,CLO,2715,,0,320 319 CM,1889,BOG,2709,CTG,2714,,0,320 CM,1889,BOG,2709,CUN,1852,Y,0,E90 CM,1889,BOG,2709,HAV,1909,Y,0,E90 CM,1889,BOG,2709,LET,2728,Y,0,E90 CM,1889,BOG,2709,MDE,2745,,0,318 319 73G 320 CM,1889,BOG,2709,MEX,1824,Y,0,73G CM,1889,BOG,2709,PEI,2739,,0,320 CM,1889,BOG,2709,PTY,1871,,0,738 73G E90 CM,1889,BOG,2709,PUJ,1760,,0,E90 CM,1889,BOG,2709,SMR,2748,,0,320 318 CM,1889,BOG,2709,UIO,2688,Y,0,E90 CM,1889,BOS,3448,PTY,1871,,0,73G CM,1889,BSB,2531,PTY,1871,,0,738 73G CM,1889,CCS,2851,BOG,2709,Y,0,73G E90 CM,1889,CCS,2851,MDE,2745,Y,0,E90 CM,1889,CCS,2851,PTY,1871,,0,73G CM,1889,CLO,2715,ADZ,2749,Y,0,E90 CM,1889,CLO,2715,BOG,2709,,0,319 320 318 CM,1889,CLO,2715,PTY,1871,,0,E90 73G CM,1889,CNF,2537,PTY,1871,,0,738 73G CM,1889,COR,2443,PTY,1871,,0,738 CM,1889,CTG,2714,ADZ,2749,Y,0,E90 CM,1889,CTG,2714,BOG,2709,,0,320 CM,1889,CTG,2714,PTY,1871,,0,E90 73G 738 CM,1889,CUC,2713,PTY,1871,Y,0,E90 CM,1889,CUN,1852,BOG,2709,Y,0,E90 CM,1889,CUN,1852,PTY,1871,,0,738 73G CM,1889,CUR,2897,PTY,1871,,0,E90 CM,1889,EWR,3494,PTY,1871,Y,0,739 CM,1889,EZE,3988,PTY,1871,,0,738 CM,1889,GDL,1804,PTY,1871,,0,E90 CM,1889,GIG,2560,PTY,1871,,0,738 CM,1889,GRU,2564,PTY,1871,,0,738 CM,1889,GUA,1767,MGA,1863,,0,E90 CM,1889,GUA,1767,PTY,1871,,0,E90 73G 738 CM,1889,GUA,1767,SJO,1885,,0,73G E90 738 CM,1889,GYE,2673,PTY,1871,,0,738 CM,1889,HAV,1909,BOG,2709,Y,0,E90 CM,1889,HAV,1909,PTY,1871,,0,738 E90 CM,1889,IAD,3714,PTY,1871,,0,73G CM,1889,IAH,3550,PTY,1871,Y,0,739 CM,1889,IAH,3550,SFO,3469,Y,0,788 CM,1889,IQT,2801,PTY,1871,,0,E90 CM,1889,JFK,3797,PTY,1871,,0,738 CM,1889,KIN,1779,PTY,1871,,0,E90 CM,1889,LAS,3877,PTY,1871,,0,738 CM,1889,LAX,3484,PTY,1871,,0,738 CM,1889,LET,2728,BOG,2709,Y,0,E90 CM,1889,LIM,2789,PTY,1871,,0,738 73G CM,1889,LIR,1881,PTY,1871,,0,E90 CM,1889,MAO,2551,PTY,1871,,0,E90 CM,1889,MAR,2848,PTY,1871,,0,73G CM,1889,MBJ,1780,PTY,1871,,0,73G 738 E90 CM,1889,MCO,3878,PTY,1871,,0,73G 738 CM,1889,MDE,2745,ADZ,2749,Y,0,E90 CM,1889,MDE,2745,BOG,2709,,0,73G 320 319 CM,1889,MDE,2745,CCS,2851,Y,0,E90 CM,1889,MDE,2745,PTY,1871,,0,73G E90 CM,1889,MEX,1824,BOG,2709,Y,0,73G CM,1889,MEX,1824,PTY,1871,,0,738 73G CM,1889,MGA,1863,GUA,1767,,0,E90 CM,1889,MGA,1863,PTY,1871,,0,73G E90 CM,1889,MGA,1863,SJO,1885,,0,E90 73G CM,1889,MIA,3576,PTY,1871,,0,738 73G CM,1889,MTY,1825,PTY,1871,,0,E90 CM,1889,MVD,2816,PTY,1871,,0,738 CM,1889,NAS,1953,PTY,1871,,0,73G E90 CM,1889,ORD,3830,PTY,1871,,0,738 CM,1889,PAP,1897,PTY,1871,,0,73G 738 CM,1889,PEI,2739,ADZ,2749,Y,0,E90 CM,1889,PEI,2739,BOG,2709,,0,320 318 AT7 319 CM,1889,PEI,2739,PTY,1871,Y,0,E90 CM,1889,POA,2599,PTY,1871,,0,738 CM,1889,POS,2902,PTY,1871,,0,73G E90 CM,1889,PTY,1871,ADZ,2749,,0,E90 CM,1889,PTY,1871,ASU,2699,,0,738 73G CM,1889,PTY,1871,AUA,2895,,0,738 E90 CM,1889,PTY,1871,BAQ,2710,,0,E90 CM,1889,PTY,1871,BGA,2708,,0,E90 CM,1889,PTY,1871,BOG,2709,,0,73G E90 738 CM,1889,PTY,1871,BOS,3448,,0,73G CM,1889,PTY,1871,BSB,2531,,0,738 73G CM,1889,PTY,1871,CCS,2851,,0,73G CM,1889,PTY,1871,CLO,2715,,0,E90 73G CM,1889,PTY,1871,CNF,2537,,0,738 73G CM,1889,PTY,1871,COR,2443,,0,738 CM,1889,PTY,1871,CTG,2714,,0,E90 73G 738 CM,1889,PTY,1871,CUC,2713,Y,0,E90 CM,1889,PTY,1871,CUN,1852,,0,738 73G CM,1889,PTY,1871,CUR,2897,,0,E90 CM,1889,PTY,1871,EWR,3494,Y,0,739 CM,1889,PTY,1871,EZE,3988,,0,738 CM,1889,PTY,1871,GDL,1804,,0,E90 CM,1889,PTY,1871,GIG,2560,,0,738 CM,1889,PTY,1871,GRU,2564,,0,738 CM,1889,PTY,1871,GUA,1767,,0,E90 73G 738 CM,1889,PTY,1871,GYE,2673,,0,738 CM,1889,PTY,1871,HAV,1909,,0,738 E90 CM,1889,PTY,1871,IAD,3714,,0,73G CM,1889,PTY,1871,IAH,3550,Y,0,739 CM,1889,PTY,1871,IQT,2801,,0,E90 CM,1889,PTY,1871,JFK,3797,,0,738 CM,1889,PTY,1871,KIN,1779,,0,E90 CM,1889,PTY,1871,LAS,3877,,0,738 CM,1889,PTY,1871,LAX,3484,,0,738 CM,1889,PTY,1871,LIM,2789,,0,738 73G CM,1889,PTY,1871,LIR,1881,,0,E90 CM,1889,PTY,1871,MAO,2551,,0,E90 CM,1889,PTY,1871,MAR,2848,,0,73G CM,1889,PTY,1871,MBJ,1780,,0,73G 738 E90 CM,1889,PTY,1871,MCO,3878,,0,738 73G CM,1889,PTY,1871,MDE,2745,,0,73G E90 CM,1889,PTY,1871,MEX,1824,,0,738 73G CM,1889,PTY,1871,MGA,1863,,0,E90 73G CM,1889,PTY,1871,MIA,3576,,0,738 73G CM,1889,PTY,1871,MTY,1825,,0,E90 CM,1889,PTY,1871,MVD,2816,,0,738 CM,1889,PTY,1871,NAS,1953,,0,73G E90 CM,1889,PTY,1871,ORD,3830,,0,738 CM,1889,PTY,1871,PAP,1897,,0,73G 738 CM,1889,PTY,1871,PEI,2739,Y,0,E90 CM,1889,PTY,1871,POA,2599,,0,738 CM,1889,PTY,1871,POS,2902,,0,73G E90 CM,1889,PTY,1871,PUJ,1760,,0,738 73G E90 CM,1889,PTY,1871,REC,2610,,0,73G 738 CM,1889,PTY,1871,SAL,1892,,0,E90 CM,1889,PTY,1871,SAP,1772,,0,E90 CM,1889,PTY,1871,SCL,2650,,0,738 CM,1889,PTY,1871,SDQ,1762,,0,738 73G E90 CM,1889,PTY,1871,SJO,1885,,0,E90 738 73G CM,1889,PTY,1871,SJU,2890,,0,E90 73G CM,1889,PTY,1871,STI,1764,,0,E90 CM,1889,PTY,1871,SXM,2899,,0,E90 73G CM,1889,PTY,1871,TGU,1776,,0,E90 73G CM,1889,PTY,1871,TPA,3646,,0,73G 738 CM,1889,PTY,1871,UIO,2688,,0,738 73G CM,1889,PTY,1871,VLN,2868,,0,73G CM,1889,PTY,1871,VVI,2771,,0,738 73G CM,1889,PTY,1871,YYZ,193,,0,738 CM,1889,PUJ,1760,BOG,2709,,0,E90 CM,1889,PUJ,1760,PTY,1871,,0,E90 738 73G CM,1889,REC,2610,PTY,1871,,0,73G 738 CM,1889,SAL,1892,PTY,1871,,0,E90 CM,1889,SAP,1772,PTY,1871,,0,E90 CM,1889,SAP,1772,SJO,1885,,0,738 CM,1889,SCL,2650,PTY,1871,,0,738 CM,1889,SDQ,1762,PTY,1871,,0,738 73G E90 CM,1889,SEA,3577,IAH,3550,Y,0,320 CM,1889,SJO,1885,GUA,1767,,0,E90 73G 738 CM,1889,SJO,1885,MGA,1863,,0,E90 73G CM,1889,SJO,1885,PTY,1871,,0,738 73G E90 CM,1889,SJO,1885,SAP,1772,,0,738 CM,1889,SJO,1885,TGU,1776,,0,738 CM,1889,SJU,2890,PTY,1871,,0,E90 73G CM,1889,SMR,2748,BOG,2709,,0,320 318 CM,1889,STI,1764,PTY,1871,,0,E90 CM,1889,SXM,2899,PTY,1871,,0,E90 73G CM,1889,TGU,1776,PTY,1871,,0,738 CM,1889,TGU,1776,SJO,1885,,0,E90 73G CM,1889,TPA,3646,PTY,1871,,0,738 73G CM,1889,UIO,2688,BOG,2709,Y,0,E90 CM,1889,UIO,2688,PTY,1871,,0,738 73G CM,1889,VLN,2868,PTY,1871,,0,73G CM,1889,VVI,2771,PTY,1871,,0,73G 738 CM,1889,YYZ,193,PTY,1871,,0,738 CN,9829,HLD,3366,PEK,3364,,0,738 CN,9829,HRB,3400,PEK,3364,,0,738 CN,9829,INC,4085,PEK,3364,,0,738 CN,9829,KWL,3372,PEK,3364,,0,738 CN,9829,MDG,3402,PEK,3364,,0,738 CN,9829,PEK,3364,HLD,3366,,0,738 CN,9829,PEK,3364,HRB,3400,,0,738 CN,9829,PEK,3364,INC,4085,,0,738 CN,9829,PEK,3364,KWL,3372,,0,738 CN,9829,PEK,3364,MDG,3402,,0,738 CU,1936,BOG,2709,HAV,1909,,0,319 CU,1936,CCC,1901,HAV,1909,,0,IL9 CU,1936,CCC,1901,VRA,1923,,0,320 CU,1936,CCS,2851,HAV,1909,,0,T20 320 A58 319 CU,1936,CMW,1904,HAV,1909,,0,320 CU,1936,CMW,1904,YUL,146,,0,320 CU,1936,CMW,1904,YYZ,193,,0,320 CU,1936,CUN,1852,FCO,1555,Y,0,767 CU,1936,CUN,1852,HAV,1909,,0,320 319 CU,1936,CYO,1903,HAV,1909,,0,320 CU,1936,CYO,1903,SCU,1905,,0,320 CU,1936,EZE,3988,CCC,1901,,0,IL9 CU,1936,FCO,1555,HAV,1909,,1,767 CU,1936,FDF,2878,HAV,1909,,0,A58 CU,1936,GAO,1908,HAV,1909,,0,A58 CU,1936,HAV,1909,BOG,2709,,0,319 CU,1936,HAV,1909,CCS,2851,,0,T20 320 A58 319 CU,1936,HAV,1909,CMW,1904,,0,320 CU,1936,HAV,1909,CUN,1852,,0,320 319 CU,1936,HAV,1909,EZE,3988,,0,IL9 CU,1936,HAV,1909,FDF,2878,,0,A58 CU,1936,HAV,1909,GAO,1908,,0,A58 CU,1936,HAV,1909,HOG,1910,,0,A58 CU,1936,HAV,1909,MAD,1229,,0,IL9 CU,1936,HAV,1909,MEX,1824,,0,320 319 CU,1936,HAV,1909,NAS,1953,,0,AT4 CU,1936,HAV,1909,ORY,1386,,0,IL9 CU,1936,HAV,1909,PMV,2850,,0,A58 CU,1936,HAV,1909,PTY,1871,,0,73G CU,1936,HAV,1909,SCU,1905,,0,A58 CU,1936,HAV,1909,SDQ,1762,,0,319 A58 T20 CU,1936,HAV,1909,SNU,1918,,0,320 CU,1936,HAV,1909,SVO,2985,Y,0,332 CU,1936,HOG,1910,HAV,1909,,0,A58 CU,1936,HOG,1910,YUL,146,,0,320 CU,1936,MAD,1229,HAV,1909,,0,IL9 CU,1936,MAD,1229,SCU,1905,,0,IL9 CU,1936,MEX,1824,HAV,1909,,0,320 319 CU,1936,NAS,1953,HAV,1909,,0,AT4 CU,1936,ORY,1386,SCU,1905,,0,IL9 CU,1936,PMV,2850,HAV,1909,,0,A58 CU,1936,PTY,1871,HAV,1909,,0,73G CU,1936,SCU,1905,FCO,1555,Y,0,767 CU,1936,SCU,1905,HAV,1909,,0,A58 IL9 CU,1936,SCU,1905,SDQ,1762,,0,A58 CU,1936,SCU,1905,YUL,146,,0,320 CU,1936,SDQ,1762,HAV,1909,,0,A58 319 T20 CU,1936,SDQ,1762,SCU,1905,,0,A58 CU,1936,SNU,1918,YUL,146,,0,320 CU,1936,SNU,1918,YYZ,193,,0,320 CU,1936,SVO,2985,HAV,1909,Y,0,332 CU,1936,VRA,1923,YUL,146,,0,320 CU,1936,YUL,146,CCC,1901,,0,320 CU,1936,YUL,146,CMW,1904,,0,320 CU,1936,YUL,146,CYO,1903,,0,320 CU,1936,YUL,146,HOG,1910,,0,320 CU,1936,YUL,146,SNU,1918,,0,320 CU,1936,YYZ,193,CMW,1904,,0,320 CU,1936,YYZ,193,SNU,1918,,0,320 CX,1680,ADL,3341,HKG,3077,,0,333 CX,1680,AKL,2006,HKG,3077,,0,343 CX,1680,AMS,580,HKG,3077,,0,343 CX,1680,ATH,3941,DOH,11051,,0,321 CX,1680,ATL,3682,ORD,3830,Y,0,E75 CX,1680,AUH,2179,BAH,2057,,0,333 CX,1680,BAH,2057,DXB,2188,,0,333 CX,1680,BCN,1218,DOH,11051,,0,332 CX,1680,BKI,3269,HKG,3077,,0,321 320 CX,1680,BKK,3885,CMB,3024,,0,773 CX,1680,BKK,3885,HKG,3077,,0,333 773 343 77W CX,1680,BKK,3885,KBV,3174,Y,0,319 320 CX,1680,BKK,3885,KHI,2206,,0,333 CX,1680,BKK,3885,SIN,3316,,0,772 CX,1680,BLR,3131,HKG,3077,,0,333 CX,1680,BNE,3320,CNS,3322,,0,333 CX,1680,BNE,3320,HKG,3077,,0,333 CX,1680,BOM,2997,HKG,3077,,0,333 CX,1680,CAN,3370,HKG,3077,,0,333 321 320 CX,1680,CCU,3043,HKG,3077,,0,320 CX,1680,CDG,1382,HKG,3077,,0,77W 343 CX,1680,CEB,4206,HKG,3077,,0,333 77W 343 CX,1680,CGK,3275,HKG,3077,,0,333 773 343 CX,1680,CGO,3375,HKG,3077,,0,320 CX,1680,CJU,2370,HKG,3077,,0,320 CX,1680,CKG,3393,HKG,3077,,0,320 321 CX,1680,CMB,3024,BKK,3885,,0,773 CX,1680,CMB,3024,SIN,3316,,0,773 CX,1680,CNS,3322,BNE,3320,,0,333 CX,1680,CNS,3322,HKG,3077,,0,333 CX,1680,CNX,3931,BKK,3885,Y,0,320 319 CX,1680,CNX,3931,HKG,3077,,0,320 CX,1680,CSX,3371,HKG,3077,,0,320 321 CX,1680,CTS,2287,HKG,3077,,0,744 333 CX,1680,CTU,3395,HKG,3077,,0,320 333 321 CX,1680,DAC,3076,HKG,3077,,0,333 CX,1680,DAC,3076,KTM,3125,,0,333 CX,1680,DAD,3196,HKG,3077,,0,320 CX,1680,DEL,3093,HKG,3077,,0,333 CX,1680,DME,4029,HKG,3077,,0,343 CX,1680,DOH,11051,ATH,3941,,0,333 332 CX,1680,DOH,11051,BCN,1218,,0,332 CX,1680,DOH,11051,GVA,1665,,0,320 CX,1680,DOH,11051,HKG,3077,,0,333 332 CX,1680,DOH,11051,MAD,1229,,0,77W CX,1680,DOH,11051,VCE,1551,,0,320 CX,1680,DPS,3940,HKG,3077,,0,773 744 CX,1680,DXB,2188,HKG,3077,,0,333 CX,1680,EWR,3494,HKG,3077,,0,77W CX,1680,FCO,1555,HKG,3077,,0,343 CX,1680,FOC,3385,HKG,3077,,0,333 CX,1680,FRA,340,HKG,3077,,0,77W CX,1680,FUK,2305,HKG,3077,,0,321 333 CX,1680,FUK,2305,TPE,2276,,0,772 CX,1680,GVA,1665,DOH,11051,,0,320 CX,1680,HAK,4120,HKG,3077,,0,320 321 CX,1680,HAN,3199,HKG,3077,,0,320 321 CX,1680,HGH,3386,HKG,3077,,0,333 321 320 CX,1680,HKG,3077,ADL,3341,,0,333 CX,1680,HKG,3077,AKL,2006,,0,343 CX,1680,HKG,3077,AMS,580,,0,343 CX,1680,HKG,3077,AUH,2179,,0,333 CX,1680,HKG,3077,BKI,3269,,0,321 320 CX,1680,HKG,3077,BKK,3885,,0,772 333 343 77W 773 CX,1680,HKG,3077,BLR,3131,,0,333 CX,1680,HKG,3077,BNE,3320,,0,333 CX,1680,HKG,3077,BOM,2997,,0,333 CX,1680,HKG,3077,CAN,3370,,0,333 321 320 CX,1680,HKG,3077,CCU,3043,,0,320 CX,1680,HKG,3077,CDG,1382,,0,77W 343 CX,1680,HKG,3077,CEB,4206,,0,333 77W 343 CX,1680,HKG,3077,CGK,3275,,0,333 343 773 CX,1680,HKG,3077,CGO,3375,,0,320 CX,1680,HKG,3077,CJU,2370,,0,320 CX,1680,HKG,3077,CKG,3393,,0,320 321 CX,1680,HKG,3077,CNS,3322,,0,333 CX,1680,HKG,3077,CNX,3931,,0,320 CX,1680,HKG,3077,CSX,3371,,0,320 321 CX,1680,HKG,3077,CTS,2287,,0,744 333 CX,1680,HKG,3077,CTU,3395,,0,320 333 321 CX,1680,HKG,3077,DAC,3076,,0,333 CX,1680,HKG,3077,DAD,3196,,0,320 CX,1680,HKG,3077,DEL,3093,,0,333 CX,1680,HKG,3077,DME,4029,,0,343 CX,1680,HKG,3077,DOH,11051,,0,332 333 CX,1680,HKG,3077,DPS,3940,,0,773 744 CX,1680,HKG,3077,DXB,2188,,0,333 CX,1680,HKG,3077,EWR,3494,,0,77W CX,1680,HKG,3077,FCO,1555,,0,343 CX,1680,HKG,3077,FOC,3385,,0,333 CX,1680,HKG,3077,FRA,340,,0,77W CX,1680,HKG,3077,FUK,2305,,0,321 333 CX,1680,HKG,3077,HAK,4120,,0,320 321 CX,1680,HKG,3077,HAN,3199,,0,320 321 CX,1680,HKG,3077,HGH,3386,,0,321 333 320 CX,1680,HKG,3077,HKT,3179,,0,320 321 CX,1680,HKG,3077,HND,2359,,0,744 CX,1680,HKG,3077,HYD,\N,,0,333 CX,1680,HKG,3077,ICN,3930,,0,333 773 772 77W 343 CX,1680,HKG,3077,JFK,3797,,0,77W CX,1680,HKG,3077,JNB,813,,0,744 CX,1680,HKG,3077,KHH,2264,,0,320 333 321 CX,1680,HKG,3077,KHV,2927,,0,320 CX,1680,HKG,3077,KIX,3992,,0,333 744 773 77W 343 772 CX,1680,HKG,3077,KMG,3382,,0,333 320 321 CX,1680,HKG,3077,KUL,3304,,0,333 772 738 343 773 CX,1680,HKG,3077,KWL,3372,,0,320 321 CX,1680,HKG,3077,LAX,3484,,0,77W CX,1680,HKG,3077,LHR,507,,0,77W CX,1680,HKG,3077,MAA,3144,,0,333 CX,1680,HKG,3077,MEL,3339,,0,333 CX,1680,HKG,3077,MLE,3156,,0,333 CX,1680,HKG,3077,MNL,2397,,0,77W 343 744 333 772 CX,1680,HKG,3077,MXP,1524,,0,77W CX,1680,HKG,3077,NAN,1960,Y,0,332 CX,1680,HKG,3077,NGB,3387,,0,320 321 CX,1680,HKG,3077,NGO,3942,,0,333 343 CX,1680,HKG,3077,NKG,3388,,0,333 321 320 CX,1680,HKG,3077,NRT,2279,,0,773 744 77W 772 333 343 CX,1680,HKG,3077,OKA,2384,,0,333 CX,1680,HKG,3077,ORD,3830,,0,77W CX,1680,HKG,3077,PEK,3364,,0,333 77W 321 320 343 CX,1680,HKG,3077,PEN,3308,,0,333 CX,1680,HKG,3077,PER,3351,,0,333 CX,1680,HKG,3077,PUS,2372,,0,321 320 CX,1680,HKG,3077,PVG,3406,,0,333 77W 321 320 773 772 343 CX,1680,HKG,3077,RUH,2082,,0,333 CX,1680,HKG,3077,SFO,3469,,0,77W 744 CX,1680,HKG,3077,SGN,3205,,0,321 77W 333 343 CX,1680,HKG,3077,SHA,3391,,0,333 CX,1680,HKG,3077,SIN,3316,,0,772 77W 333 773 343 CX,1680,HKG,3077,SUB,3928,,0,333 772 CX,1680,HKG,3077,SYD,3361,,0,333 CX,1680,HKG,3077,SYX,4030,,0,320 321 CX,1680,HKG,3077,TAO,3390,,0,333 320 CX,1680,HKG,3077,TPE,2276,,0,333 77W 744 772 773 343 320 321 CX,1680,HKG,3077,USM,3177,,0,320 319 CX,1680,HKG,3077,VVO,2934,,0,320 CX,1680,HKG,3077,WNZ,6392,,0,321 320 CX,1680,HKG,3077,WUH,3376,,0,321 320 CX,1680,HKG,3077,XIY,3379,,0,320 321 CX,1680,HKG,3077,XMN,3383,,0,333 321 320 CX,1680,HKG,3077,YVR,156,,0,77W CX,1680,HKG,3077,YYZ,193,,0,77W CX,1680,HKT,3179,HKG,3077,,0,320 321 CX,1680,HND,2359,HKG,3077,,0,744 CX,1680,HYD,\N,HKG,3077,,0,333 CX,1680,ICN,3930,HKG,3077,,0,333 773 772 77W 343 CX,1680,ICN,3930,TPE,2276,,0,773 343 772 CX,1680,JFK,3797,HKG,3077,,0,77W CX,1680,JFK,3797,YVR,156,,0,77W CX,1680,JNB,813,HKG,3077,,0,744 CX,1680,KBV,3174,BKK,3885,Y,0,320 319 CX,1680,KHH,2264,HKG,3077,,0,333 320 321 CX,1680,KHI,2206,BKK,3885,,0,333 CX,1680,KHV,2927,HKG,3077,,0,320 CX,1680,KIX,3992,HKG,3077,,0,333 773 744 77W 343 772 CX,1680,KIX,3992,TPE,2276,,0,333 773 77W CX,1680,KMG,3382,HKG,3077,,0,333 320 321 CX,1680,KTM,3125,DAC,3076,,0,333 CX,1680,KUL,3304,HKG,3077,,0,772 333 738 343 773 CX,1680,KWL,3372,HKG,3077,,0,320 321 CX,1680,LAX,3484,HKG,3077,,0,77W CX,1680,LHR,507,HKG,3077,,0,77W CX,1680,MAA,3144,HKG,3077,,0,333 CX,1680,MAD,1229,DOH,11051,,0,77W CX,1680,MEL,3339,HKG,3077,,0,333 CX,1680,MLE,3156,HKG,3077,,0,333 CX,1680,MNL,2397,HKG,3077,,0,744 333 77W 343 772 CX,1680,MSY,3861,DFW,3670,Y,0,M83 M80 CX,1680,MXP,1524,HKG,3077,,0,77W CX,1680,NAN,1960,HKG,3077,Y,0,332 CX,1680,NGB,3387,HKG,3077,,0,321 320 CX,1680,NGO,3942,HKG,3077,,0,343 333 CX,1680,NGO,3942,TPE,2276,,0,333 CX,1680,NKG,3388,HKG,3077,,0,320 333 321 CX,1680,NRT,2279,HKG,3077,,0,773 77W 744 772 333 343 CX,1680,NRT,2279,TPE,2276,,0,744 CX,1680,OKA,2384,HKG,3077,,0,333 CX,1680,ORD,3830,ATL,3682,Y,0,CR7 CX,1680,ORD,3830,HKG,3077,,0,77W CX,1680,PEK,3364,HKG,3077,,0,320 333 77W 321 343 CX,1680,PEN,3308,HKG,3077,,0,333 CX,1680,PER,3351,HKG,3077,,0,333 CX,1680,PUS,2372,HKG,3077,,0,321 320 CX,1680,PVG,3406,HKG,3077,,0,320 321 333 772 77W 773 343 CX,1680,RUH,2082,HKG,3077,,0,333 CX,1680,SFO,3469,HKG,3077,,0,77W 744 CX,1680,SGN,3205,HKG,3077,,0,77W 333 343 CX,1680,SHA,3391,HKG,3077,,0,333 CX,1680,SIN,3316,BKK,3885,,0,333 343 CX,1680,SIN,3316,CMB,3024,,0,773 CX,1680,SIN,3316,HKG,3077,,0,333 772 773 77W CX,1680,SUB,3928,HKG,3077,,0,333 772 CX,1680,SYD,3361,HKG,3077,,0,333 CX,1680,SYX,4030,HKG,3077,,0,320 321 CX,1680,TAO,3390,HKG,3077,,0,333 320 CX,1680,TPE,2276,FUK,2305,,0,772 773 CX,1680,TPE,2276,HKG,3077,,0,773 744 333 77W 772 343 320 321 CX,1680,TPE,2276,ICN,3930,,0,773 343 772 CX,1680,TPE,2276,KIX,3992,,0,773 333 CX,1680,TPE,2276,NGO,3942,,0,333 CX,1680,TPE,2276,NRT,2279,,0,744 CX,1680,USM,3177,HKG,3077,,0,319 CX,1680,VCE,1551,DOH,11051,,0,320 CX,1680,VVO,2934,HKG,3077,,0,320 CX,1680,WNZ,6392,HKG,3077,,0,321 320 CX,1680,WUH,3376,HKG,3077,,0,321 320 CX,1680,XIY,3379,HKG,3077,,0,320 321 CX,1680,XMN,3383,HKG,3077,,0,320 333 321 CX,1680,YVR,156,HKG,3077,,0,77W CX,1680,YVR,156,JFK,3797,,0,77W CX,1680,YYZ,193,HKG,3077,,0,77W CY,1942,AMS,580,LCA,1197,,0,320 CY,1942,ATH,3941,LCA,1197,,0,320 CY,1942,AUH,2179,LCA,1197,Y,0,320 CY,1942,BEY,2177,LCA,1197,,0,320 CY,1942,CDG,1382,LCA,1197,,0,320 CY,1942,FRA,340,LCA,1197,,0,320 CY,1942,HER,1452,LCA,1197,,0,320 CY,1942,LCA,1197,AMS,580,,0,320 CY,1942,LCA,1197,ATH,3941,,0,320 CY,1942,LCA,1197,AUH,2179,Y,0,320 CY,1942,LCA,1197,BEY,2177,,0,320 CY,1942,LCA,1197,CDG,1382,,0,320 CY,1942,LCA,1197,FRA,340,,0,320 CY,1942,LCA,1197,HER,1452,,0,320 CY,1942,LCA,1197,LHR,507,,0,320 CY,1942,LCA,1197,MUC,346,,0,320 CY,1942,LCA,1197,OTP,1657,,0,318 CY,1942,LCA,1197,SKG,1486,,0,320 CY,1942,LCA,1197,SOF,1194,,0,320 CY,1942,LCA,1197,SVO,2985,,0,320 CY,1942,LCA,1197,TLV,1590,,0,320 CY,1942,LCA,1197,ZRH,1678,,0,320 CY,1942,LHR,507,LCA,1197,,0,320 CY,1942,MUC,346,FRA,340,,0,320 CY,1942,MUC,346,LCA,1197,,0,320 CY,1942,OTP,1657,LCA,1197,,0,318 CY,1942,SKG,1486,LCA,1197,,0,320 CY,1942,SOF,1194,LCA,1197,,0,320 CY,1942,SVO,2985,LCA,1197,,0,320 CY,1942,TLV,1590,LCA,1197,,0,320 CY,1942,ZRH,1678,LCA,1197,,0,320 CZ,1767,AAT,6946,URC,3399,,0,73G E90 CZ,1767,ACX,7506,CAN,3370,,0,319 CZ,1767,AKL,2006,CAN,3370,,0,787 CZ,1767,AKU,6404,URC,3399,,0,E90 73G CZ,1767,ALA,2908,URC,3399,,0,73G CZ,1767,AMS,580,CAN,3370,,0,332 CZ,1767,AMS,580,CTU,3395,Y,0,74M CZ,1767,AMS,580,HGH,3386,Y,0,777 CZ,1767,AMS,580,PEK,3364,,0,332 CZ,1767,AMS,580,PVG,3406,Y,0,74M 747 CZ,1767,AMS,580,XMN,3383,Y,0,777 CZ,1767,AOG,9844,PEK,3364,,0,320 CZ,1767,AQG,6427,CAN,3370,,0,E90 CZ,1767,ASB,2976,URC,3399,,0,73G CZ,1767,AVA,9849,CAN,3370,,0,319 CZ,1767,BAV,6346,CGO,3375,,0,738 CZ,1767,BAV,6346,CSX,3371,,0,320 CZ,1767,BAV,6346,CTU,3395,,0,321 CZ,1767,BAV,6346,SHE,4144,,0,321 319 320 CZ,1767,BAV,6346,SJW,6347,,0,320 CZ,1767,BAV,6346,URC,3399,,0,320 319 CZ,1767,BAV,6346,WUH,3376,,0,738 CZ,1767,BFJ,9025,CAN,3370,,0,319 CZ,1767,BFJ,9025,SZX,3374,,0,320 CZ,1767,BHY,6351,CAN,3370,,0,E90 CZ,1767,BHY,6351,CGO,3375,,0,321 CZ,1767,BHY,6351,CKG,3393,,0,73G CZ,1767,BHY,6351,CSX,3371,,0,321 CZ,1767,BHY,6351,KMG,3382,Y,0,737 CZ,1767,BHY,6351,SJW,6347,,0,321 CZ,1767,BKI,3269,SZX,3374,,0,321 CZ,1767,BKK,3885,CAN,3370,,0,738 320 763 CZ,1767,BKK,3885,CGO,3375,,0,738 CZ,1767,BKK,3885,CSX,3371,,0,320 CZ,1767,BKK,3885,FOC,3385,,0,738 CZ,1767,BKK,3885,NBO,4059,,0,763 CZ,1767,BKK,3885,NNG,3373,,0,738 CZ,1767,BKK,3885,SWA,4302,,0,738 CZ,1767,BKK,3885,WUH,3376,,0,73G CZ,1767,BKK,3885,XMN,3383,,0,738 CZ,1767,BNE,3320,CAN,3370,,0,332 CZ,1767,BSD,7505,KMG,3382,Y,0,733 CZ,1767,CAN,3370,ACX,7506,,0,319 CZ,1767,CAN,3370,AKL,2006,,0,787 CZ,1767,CAN,3370,AMS,580,,0,332 CZ,1767,CAN,3370,AQG,6427,,0,E90 CZ,1767,CAN,3370,AVA,9849,,0,319 CZ,1767,CAN,3370,BFJ,9025,,0,319 CZ,1767,CAN,3370,BHY,6351,,0,E90 CZ,1767,CAN,3370,BKK,3885,,0,320 738 763 CZ,1767,CAN,3370,BNE,3320,,0,332 CZ,1767,CAN,3370,CDG,1382,,0,332 CZ,1767,CAN,3370,CGD,6352,,0,319 CZ,1767,CAN,3370,CGK,3275,,0,738 CZ,1767,CAN,3370,CGO,3375,,0,738 733 73G CZ,1767,CAN,3370,CGQ,4380,,0,319 321 320 CZ,1767,CAN,3370,CIH,6343,,0,320 CZ,1767,CAN,3370,CKG,3393,,0,319 321 320 CZ,1767,CAN,3370,CNX,3931,,0,73G CZ,1767,CAN,3370,CSX,3371,,0,320 CZ,1767,CAN,3370,CTU,3395,,0,738 321 320 CZ,1767,CAN,3370,CZX,4109,,0,E90 CZ,1767,CAN,3370,DAC,3076,,0,738 CZ,1767,CAN,3370,DAD,3196,,0,738 CZ,1767,CAN,3370,DEL,3093,,0,73G CZ,1767,CAN,3370,DIG,6375,,0,319 CZ,1767,CAN,3370,DLC,3404,,0,320 321 319 CZ,1767,CAN,3370,DPS,3940,,0,738 CZ,1767,CAN,3370,DXB,2188,,0,772 CZ,1767,CAN,3370,DYG,6353,,0,320 CZ,1767,CAN,3370,FOC,3385,,0,738 320 E90 73G CZ,1767,CAN,3370,FUG,7503,,0,319 CZ,1767,CAN,3370,FUK,2305,,0,319 CZ,1767,CAN,3370,HAK,4120,,0,320 321 733 CZ,1767,CAN,3370,HAN,3199,,0,E90 CZ,1767,CAN,3370,HDG,8407,,0,319 CZ,1767,CAN,3370,HET,6345,,0,319 CZ,1767,CAN,3370,HFE,3389,,0,320 CZ,1767,CAN,3370,HGH,3386,,0,321 320 772 319 E90 738 CZ,1767,CAN,3370,HJJ,7519,,0,E90 CZ,1767,CAN,3370,HKG,3077,,0,320 CZ,1767,CAN,3370,HKT,3179,,0,321 CZ,1767,CAN,3370,HRB,3400,,0,320 CZ,1767,CAN,3370,HZH,7508,,0,E90 CZ,1767,CAN,3370,ICN,3930,,0,321 CZ,1767,CAN,3370,JGS,6428,,0,319 CZ,1767,CAN,3370,JIQ,8781,,0,319 CZ,1767,CAN,3370,JIU,6381,,0,E90 CZ,1767,CAN,3370,JJN,6386,Y,0,737 CZ,1767,CAN,3370,JNG,6944,,0,319 CZ,1767,CAN,3370,JUH,9843,,0,319 CZ,1767,CAN,3370,KHN,3384,,0,320 73G 738 CZ,1767,CAN,3370,KIX,3992,,0,321 CZ,1767,CAN,3370,KMG,3382,,0,319 738 320 737 CZ,1767,CAN,3370,KOW,6379,,0,319 CZ,1767,CAN,3370,KTM,3125,,0,319 CZ,1767,CAN,3370,KUL,3304,,0,320 73G CZ,1767,CAN,3370,KWE,3394,,0,738 CZ,1767,CAN,3370,KWL,3372,,0,738 73G CZ,1767,CAN,3370,LAX,3484,,0,380 CZ,1767,CAN,3370,LHR,507,,0,787 CZ,1767,CAN,3370,LHW,3378,,0,320 CZ,1767,CAN,3370,LLB,\N,,0,319 CZ,1767,CAN,3370,LYA,4148,,0,E90 CZ,1767,CAN,3370,LYG,6383,,0,738 CZ,1767,CAN,3370,LZH,6356,,0,320 319 CZ,1767,CAN,3370,MEL,3339,,0,333 CZ,1767,CAN,3370,MIG,6400,,0,319 CZ,1767,CAN,3370,MLE,3156,,0,772 CZ,1767,CAN,3370,MNL,2397,,0,E90 CZ,1767,CAN,3370,MXZ,6354,,0,E90 CZ,1767,CAN,3370,NAO,6401,,0,319 CZ,1767,CAN,3370,NBO,4059,,0,773 CZ,1767,CAN,3370,NGB,3387,,0,321 738 320 CZ,1767,CAN,3370,NKG,3388,,0,332 320 738 321 CZ,1767,CAN,3370,NNG,3373,,0,73G 738 319 320 CZ,1767,CAN,3370,NNY,6359,,0,E90 CZ,1767,CAN,3370,NRT,2279,,0,332 CZ,1767,CAN,3370,PEK,3364,,0,333 380 321 787 330 332 CZ,1767,CAN,3370,PEN,3308,,0,320 CZ,1767,CAN,3370,PER,3351,,0,332 CZ,1767,CAN,3370,PNH,3034,,0,321 319 CZ,1767,CAN,3370,PVG,3406,,0,320 738 CZ,1767,CAN,3370,REP,3035,,0,320 CZ,1767,CAN,3370,RGN,3239,,0,319 CZ,1767,CAN,3370,SGN,3205,,0,738 CZ,1767,CAN,3370,SHA,3391,,0,77W 738 777 321 772 333 330 AB6 320 CZ,1767,CAN,3370,SHE,4144,,0,320 319 CZ,1767,CAN,3370,SIN,3316,,0,319 320 CZ,1767,CAN,3370,SJW,6347,,0,320 E90 CZ,1767,CAN,3370,SVO,2985,,0,333 332 CZ,1767,CAN,3370,SWA,4302,,0,738 CZ,1767,CAN,3370,SYD,3361,,0,332 333 CZ,1767,CAN,3370,SYX,4030,,0,738 320 321 CZ,1767,CAN,3370,TAO,3390,,0,738 321 320 319 CZ,1767,CAN,3370,TEN,6963,,0,319 CZ,1767,CAN,3370,TNA,4108,,0,738 320 CZ,1767,CAN,3370,TPE,2276,,0,772 CZ,1767,CAN,3370,TSN,3368,,0,738 73G 319 CZ,1767,CAN,3370,TXN,6387,,0,320 CZ,1767,CAN,3370,TYN,3369,,0,738 737 320 CZ,1767,CAN,3370,URC,3399,,0,73G 738 777 752 CZ,1767,CAN,3370,WNZ,6392,,0,733 738 320 CZ,1767,CAN,3370,WUH,3376,,0,738 73G CZ,1767,CAN,3370,WUX,6390,,0,E90 321 CZ,1767,CAN,3370,XFN,6360,,0,738 CZ,1767,CAN,3370,XIY,3379,,0,320 321 73G 319 CZ,1767,CAN,3370,XMN,3383,,0,738 320 E90 319 73G CZ,1767,CAN,3370,XUZ,4149,,0,320 CZ,1767,CAN,3370,YIH,6361,,0,320 CZ,1767,CAN,3370,YIW,6394,,0,738 E90 319 CZ,1767,CAN,3370,YNT,3392,,0,320 CZ,1767,CAN,3370,YNZ,6393,,0,738 CZ,1767,CAN,3370,YTY,8876,,0,738 CZ,1767,CAN,3370,YVR,156,,0,787 CZ,1767,CAN,3370,ZHA,6357,,0,319 320 E90 CZ,1767,CAN,3370,ZYI,9846,,0,319 CZ,1767,CDG,1382,CAN,3370,,0,332 CZ,1767,CGD,6352,CAN,3370,,0,319 CZ,1767,CGD,6352,PEK,3364,,0,321 CZ,1767,CGD,6352,SZX,3374,,0,319 CZ,1767,CGK,3275,CAN,3370,,0,738 CZ,1767,CGK,3275,FOC,3385,Y,0,738 CZ,1767,CGK,3275,XMN,3383,,0,738 CZ,1767,CGO,3375,BAV,6346,,0,738 CZ,1767,CGO,3375,BHY,6351,,0,321 CZ,1767,CGO,3375,BKK,3885,,0,738 CZ,1767,CGO,3375,CAN,3370,,0,73G 738 733 CZ,1767,CGO,3375,CGQ,4380,,0,738 CZ,1767,CGO,3375,CJU,2370,,0,738 CZ,1767,CGO,3375,CKG,3393,,0,738 73G CZ,1767,CGO,3375,CTU,3395,,0,73G 738 320 CZ,1767,CGO,3375,DLC,3404,,0,319 CZ,1767,CGO,3375,DSN,6434,,0,738 CZ,1767,CGO,3375,FOC,3385,,0,752 CZ,1767,CGO,3375,HAK,4120,,0,738 320 733 CZ,1767,CGO,3375,HGH,3386,,0,738 CZ,1767,CGO,3375,HKG,3077,,0,738 CZ,1767,CGO,3375,HMI,6743,,0,733 CZ,1767,CGO,3375,HRB,3400,,0,320 CZ,1767,CGO,3375,ICN,3930,,0,73J 73H 738 CZ,1767,CGO,3375,INC,4085,,0,738 CZ,1767,CGO,3375,KHH,2264,,0,738 CZ,1767,CGO,3375,KMG,3382,,0,73G 733 737 CZ,1767,CGO,3375,KWE,3394,,0,319 CZ,1767,CGO,3375,LHW,3378,Y,0,737 CZ,1767,CGO,3375,NNG,3373,,0,738 CZ,1767,CGO,3375,NNY,6359,,0,320 CZ,1767,CGO,3375,PEK,3364,,0,320 CZ,1767,CGO,3375,PVG,3406,,0,320 738 CZ,1767,CGO,3375,SHA,3391,,0,738 737 320 321 CZ,1767,CGO,3375,SHE,4144,,0,73G 320 321 CZ,1767,CGO,3375,SYX,4030,,0,320 CZ,1767,CGO,3375,SZX,3374,,0,733 73G 738 CZ,1767,CGO,3375,TAO,3390,,0,738 CZ,1767,CGO,3375,TPE,2276,,0,738 CZ,1767,CGO,3375,URC,3399,,0,738 752 CZ,1767,CGO,3375,UYN,6368,,0,738 CZ,1767,CGO,3375,WNZ,6392,,0,733 CZ,1767,CGO,3375,XMN,3383,,0,733 319 CZ,1767,CGO,3375,XNN,6366,Y,0,737 CZ,1767,CGO,3375,YIW,6394,,0,738 CZ,1767,CGO,3375,YTY,8876,,0,738 CZ,1767,CGO,3375,ZUH,6355,,0,738 CZ,1767,CGQ,4380,CAN,3370,,0,321 320 319 CZ,1767,CGQ,4380,CGO,3375,,0,738 CZ,1767,CGQ,4380,CJU,2370,,0,321 CZ,1767,CGQ,4380,CKG,3393,,0,321 CZ,1767,CGQ,4380,HET,6345,,0,319 320 CZ,1767,CGQ,4380,HFE,3389,,0,320 CZ,1767,CGQ,4380,HGH,3386,,0,319 321 320 CZ,1767,CGQ,4380,ICN,3930,,0,321 CZ,1767,CGQ,4380,KHN,3384,,0,320 CZ,1767,CGQ,4380,NBS,8826,,0,319 CZ,1767,CGQ,4380,NGB,3387,Y,0,737 CZ,1767,CGQ,4380,NKG,3388,,0,319 CZ,1767,CGQ,4380,NRT,2279,,0,321 CZ,1767,CGQ,4380,PEK,3364,,0,320 321 319 CZ,1767,CGQ,4380,PVG,3406,,0,319 321 320 CZ,1767,CGQ,4380,TAO,3390,,0,321 320 738 CZ,1767,CGQ,4380,TNA,4108,,0,320 319 CZ,1767,CGQ,4380,TPE,2276,,0,320 CZ,1767,CGQ,4380,TYN,3369,,0,319 320 CZ,1767,CGQ,4380,WUH,3376,,0,320 CZ,1767,CGQ,4380,YNJ,6414,,0,320 321 CZ,1767,CIH,6343,CAN,3370,,0,320 CZ,1767,CIH,6343,DAT,6344,,0,320 CZ,1767,CIH,6343,PEK,3364,,0,320 CZ,1767,CJU,2370,CGO,3375,,0,738 CZ,1767,CJU,2370,CGQ,4380,,0,321 CZ,1767,CJU,2370,CSX,3371,,0,320 CZ,1767,CJU,2370,DLC,3404,,0,320 321 CZ,1767,CJU,2370,HRB,3400,,0,320 CZ,1767,CJU,2370,SHE,4144,,0,321 CZ,1767,CJU,2370,SZX,3374,,0,320 CZ,1767,CKG,3393,BHY,6351,,0,73G CZ,1767,CKG,3393,CAN,3370,,0,321 319 320 CZ,1767,CKG,3393,CGO,3375,,0,738 73G CZ,1767,CKG,3393,CGQ,4380,,0,321 CZ,1767,CKG,3393,CSX,3371,,0,320 738 CZ,1767,CKG,3393,FOC,3385,Y,0,737 CZ,1767,CKG,3393,HAK,4120,,0,733 CZ,1767,CKG,3393,HGH,3386,Y,0,737 CZ,1767,CKG,3393,JHG,3381,,0,73G CZ,1767,CKG,3393,KHN,3384,Y,0,737 CZ,1767,CKG,3393,KMG,3382,,0,321 738 320 73G CZ,1767,CKG,3393,KWE,3394,,0,738 CZ,1767,CKG,3393,KWL,3372,,0,738 CZ,1767,CKG,3393,LJG,4033,Y,0,737 CZ,1767,CKG,3393,LXA,4097,,0,319 CZ,1767,CKG,3393,NNG,3373,,0,738 73G CZ,1767,CKG,3393,PEK,3364,,0,319 CZ,1767,CKG,3393,SHE,4144,,0,321 320 CZ,1767,CKG,3393,SYX,4030,,0,320 CZ,1767,CKG,3393,SZX,3374,,0,320 CZ,1767,CKG,3393,TSN,3368,,0,320 CZ,1767,CKG,3393,URC,3399,,0,738 320 73G CZ,1767,CKG,3393,WUH,3376,,0,73G CZ,1767,CKG,3393,XIY,3379,,0,320 319 CZ,1767,CKG,3393,XMN,3383,Y,0,737 CZ,1767,CKG,3393,XNN,6366,Y,0,737 CZ,1767,CKG,3393,YCU,6430,,0,733 CZ,1767,CKG,3393,YIH,6361,Y,0,737 CZ,1767,CNX,3931,CAN,3370,,0,73G CZ,1767,CSX,3371,BAV,6346,,0,320 CZ,1767,CSX,3371,BHY,6351,,0,321 CZ,1767,CSX,3371,BKK,3885,,0,320 CZ,1767,CSX,3371,CAN,3370,,0,320 CZ,1767,CSX,3371,CJU,2370,,0,320 CZ,1767,CSX,3371,CKG,3393,,0,320 738 CZ,1767,CSX,3371,CTU,3395,,0,320 CZ,1767,CSX,3371,CZX,4109,,0,320 CZ,1767,CSX,3371,DLC,3404,,0,321 CZ,1767,CSX,3371,DYG,6353,,0,320 CZ,1767,CSX,3371,FOC,3385,Y,0,737 CZ,1767,CSX,3371,HAK,4120,,0,733 CZ,1767,CSX,3371,HET,6345,,0,320 CZ,1767,CSX,3371,HFE,3389,,0,320 CZ,1767,CSX,3371,HGH,3386,,0,320 CZ,1767,CSX,3371,HJJ,7519,,0,320 CZ,1767,CSX,3371,HRB,3400,,0,321 CZ,1767,CSX,3371,ICN,3930,,0,320 CZ,1767,CSX,3371,INC,4085,,0,320 CZ,1767,CSX,3371,JJN,6386,Y,0,737 CZ,1767,CSX,3371,KMG,3382,,0,321 320 CZ,1767,CSX,3371,KWE,3394,Y,0,737 CZ,1767,CSX,3371,LHW,3378,,0,320 CZ,1767,CSX,3371,LZO,6399,Y,0,737 CZ,1767,CSX,3371,MIG,6400,Y,0,737 CZ,1767,CSX,3371,NGB,3387,,0,738 CZ,1767,CSX,3371,NKG,3388,,0,320 CZ,1767,CSX,3371,NNG,3373,,0,738 CZ,1767,CSX,3371,PEK,3364,,0,321 320 CZ,1767,CSX,3371,PVG,3406,,0,320 321 CZ,1767,CSX,3371,SHA,3391,,0,321 320 CZ,1767,CSX,3371,SJW,6347,,0,320 CZ,1767,CSX,3371,SWA,4302,,0,738 CZ,1767,CSX,3371,SYX,4030,,0,321 CZ,1767,CSX,3371,SZX,3374,,0,752 320 CZ,1767,CSX,3371,TAO,3390,,0,320 321 CZ,1767,CSX,3371,TNA,4108,,0,320 CZ,1767,CSX,3371,TPE,2276,,0,320 CZ,1767,CSX,3371,TSN,3368,,0,320 CZ,1767,CSX,3371,TXN,6387,,0,320 CZ,1767,CSX,3371,TYN,3369,,0,738 CZ,1767,CSX,3371,URC,3399,,0,752 CZ,1767,CSX,3371,WNZ,6392,,0,752 CZ,1767,CSX,3371,XIY,3379,,0,320 CZ,1767,CSX,3371,XMN,3383,,0,320 CZ,1767,CSX,3371,XNN,6366,,0,320 CZ,1767,CSX,3371,YCU,6430,,0,733 CZ,1767,CSX,3371,YNT,3392,,0,320 319 CZ,1767,CSX,3371,YTY,8876,,0,320 CZ,1767,CSX,3371,ZUH,6355,,0,738 CZ,1767,CTU,3395,AMS,580,Y,0,74M CZ,1767,CTU,3395,BAV,6346,,0,321 CZ,1767,CTU,3395,CAN,3370,,0,738 321 320 CZ,1767,CTU,3395,CGO,3375,,0,738 73G 320 CZ,1767,CTU,3395,CSX,3371,,0,320 CZ,1767,CTU,3395,FOC,3385,Y,0,737 CZ,1767,CTU,3395,HAK,4120,,0,320 CZ,1767,CTU,3395,HGH,3386,Y,0,737 CZ,1767,CTU,3395,KMG,3382,,0,737 733 CZ,1767,CTU,3395,KWE,3394,,0,738 CZ,1767,CTU,3395,KWL,3372,,0,738 CZ,1767,CTU,3395,NNY,6359,,0,E90 CZ,1767,CTU,3395,PEK,3364,,0,330 777 CZ,1767,CTU,3395,SWA,4302,,0,738 CZ,1767,CTU,3395,SZX,3374,,0,321 333 320 CZ,1767,CTU,3395,TNA,4108,,0,320 319 CZ,1767,CTU,3395,TYN,3369,,0,321 CZ,1767,CTU,3395,URC,3399,,0,738 320 752 CZ,1767,CTU,3395,WUH,3376,,0,738 CZ,1767,CTU,3395,XIY,3379,,0,320 321 CZ,1767,CTU,3395,XMN,3383,Y,0,737 CZ,1767,CTU,3395,YNT,3392,,0,321 CZ,1767,CZX,4109,CAN,3370,,0,E90 CZ,1767,CZX,4109,CSX,3371,,0,320 CZ,1767,CZX,4109,FOC,3385,Y,0,737 CZ,1767,CZX,4109,SHE,4144,,0,320 CZ,1767,CZX,4109,SZX,3374,,0,320 CZ,1767,CZX,4109,TYN,3369,Y,0,737 CZ,1767,DAC,3076,CAN,3370,,0,738 CZ,1767,DAD,3196,CAN,3370,,0,738 CZ,1767,DAT,6344,CIH,6343,,0,320 CZ,1767,DAT,6344,TYN,3369,Y,0,737 CZ,1767,DDG,6433,PVG,3406,,0,320 CZ,1767,DEL,3093,CAN,3370,,0,73G CZ,1767,DIG,6375,CAN,3370,,0,319 CZ,1767,DIG,6375,KMG,3382,,0,737 CZ,1767,DLC,3404,CAN,3370,,0,321 319 320 CZ,1767,DLC,3404,CGO,3375,,0,319 CZ,1767,DLC,3404,CJU,2370,,0,320 321 CZ,1767,DLC,3404,CSX,3371,,0,321 CZ,1767,DLC,3404,HET,6345,,0,320 CZ,1767,DLC,3404,HGH,3386,,0,320 321 CZ,1767,DLC,3404,ICN,3930,,0,321 319 CZ,1767,DLC,3404,KHN,3384,,0,738 CZ,1767,DLC,3404,KIX,3992,,0,319 CZ,1767,DLC,3404,MDG,3402,,0,319 CZ,1767,DLC,3404,NGB,3387,,0,321 738 CZ,1767,DLC,3404,NGO,3942,,0,319 CZ,1767,DLC,3404,NKG,3388,,0,320 738 CZ,1767,DLC,3404,NRT,2279,,0,319 321 320 CZ,1767,DLC,3404,PEK,3364,,0,321 320 CZ,1767,DLC,3404,PVG,3406,,0,321 320 CZ,1767,DLC,3404,SJW,6347,,0,320 319 CZ,1767,DLC,3404,SZX,3374,,0,319 CZ,1767,DLC,3404,TAO,3390,Y,0,737 CZ,1767,DLC,3404,TNA,4108,,0,320 738 73G CZ,1767,DLC,3404,TOY,2324,,0,319 CZ,1767,DLC,3404,TPE,2276,,0,320 CZ,1767,DLC,3404,TSN,3368,,0,320 CZ,1767,DLC,3404,TXN,6387,,0,320 CZ,1767,DLC,3404,TYN,3369,,0,320 CZ,1767,DLC,3404,WUH,3376,,0,321 CZ,1767,DLC,3404,XIY,3379,,0,321 320 CZ,1767,DLC,3404,YNJ,6414,,0,319 CZ,1767,DLC,3404,YNZ,6393,,0,73G 738 CZ,1767,DLC,3404,YTY,8876,,0,320 CZ,1767,DLU,4054,KMG,3382,,0,319 CZ,1767,DLU,4054,KWE,3394,,0,319 CZ,1767,DNH,4308,URC,3399,,0,E90 CZ,1767,DNH,4308,XIY,3379,,0,E90 CZ,1767,DPS,3940,CAN,3370,,0,738 CZ,1767,DPS,3940,SZX,3374,,0,320 CZ,1767,DQA,9845,PEK,3364,,0,319 320 CZ,1767,DQA,9845,TAO,3390,,0,319 CZ,1767,DSN,6434,CGO,3375,,0,738 CZ,1767,DTW,3645,PEK,3364,Y,0,777 CZ,1767,DTW,3645,PVG,3406,Y,0,77L 777 CZ,1767,DXB,2188,CAN,3370,,0,772 CZ,1767,DYG,6353,CAN,3370,,0,320 CZ,1767,DYG,6353,CSX,3371,,0,320 CZ,1767,DYG,6353,PEK,3364,,0,320 CZ,1767,DYG,6353,SZX,3374,,0,319 CZ,1767,DYG,6353,TPE,2276,,0,320 CZ,1767,DYG,6353,TYN,3369,,0,320 CZ,1767,DYU,2979,URC,3399,,0,752 CZ,1767,ENH,6358,WUH,3376,,0,738 CZ,1767,FOC,3385,BKK,3885,,0,738 CZ,1767,FOC,3385,CAN,3370,,0,738 320 E90 73G CZ,1767,FOC,3385,CGK,3275,Y,0,738 CZ,1767,FOC,3385,CGO,3375,,0,752 CZ,1767,FOC,3385,CKG,3393,Y,0,737 CZ,1767,FOC,3385,CSX,3371,Y,0,737 CZ,1767,FOC,3385,CTU,3395,Y,0,737 CZ,1767,FOC,3385,CZX,4109,Y,0,737 CZ,1767,FOC,3385,HAK,4120,Y,0,737 CZ,1767,FOC,3385,HGH,3386,Y,0,737 CZ,1767,FOC,3385,HRB,3400,Y,0,737 CZ,1767,FOC,3385,KMG,3382,Y,0,737 CZ,1767,FOC,3385,KUL,3304,Y,0,738 CZ,1767,FOC,3385,KWE,3394,Y,0,737 CZ,1767,FOC,3385,KWL,3372,Y,0,737 CZ,1767,FOC,3385,MFM,3121,,0,738 CZ,1767,FOC,3385,NKG,3388,Y,0,737 CZ,1767,FOC,3385,NNG,3373,Y,0,737 CZ,1767,FOC,3385,PEK,3364,Y,0,737 CZ,1767,FOC,3385,SHA,3391,Y,0,737 CZ,1767,FOC,3385,SIN,3316,Y,0,738 CZ,1767,FOC,3385,SYX,4030,Y,0,737 CZ,1767,FOC,3385,SZX,3374,,0,320 CZ,1767,FOC,3385,TAO,3390,Y,0,737 CZ,1767,FOC,3385,TNA,4108,Y,0,737 CZ,1767,FOC,3385,WUH,3376,,0,738 73G CZ,1767,FOC,3385,XIY,3379,Y,0,737 CZ,1767,FOC,3385,ZUH,6355,Y,0,737 CZ,1767,FRU,2912,URC,3399,,0,73G CZ,1767,FUG,7503,CAN,3370,,0,319 CZ,1767,FUK,2305,CAN,3370,,0,319 CZ,1767,FUK,2305,SHE,4144,,0,319 CZ,1767,GMP,2378,PEK,3364,,0,321 CZ,1767,GYD,2922,URC,3399,,0,73G CZ,1767,HAK,4120,CAN,3370,,0,321 320 733 CZ,1767,HAK,4120,CGO,3375,,0,320 738 733 CZ,1767,HAK,4120,CKG,3393,,0,733 CZ,1767,HAK,4120,CSX,3371,,0,733 CZ,1767,HAK,4120,CTU,3395,,0,320 CZ,1767,HAK,4120,FOC,3385,Y,0,737 CZ,1767,HAK,4120,HGH,3386,,0,320 CZ,1767,HAK,4120,KMG,3382,,0,320 CZ,1767,HAK,4120,NKG,3388,,0,320 CZ,1767,HAK,4120,NNG,3373,,0,738 CZ,1767,HAK,4120,PEK,3364,,0,320 CZ,1767,HAK,4120,PVG,3406,,0,320 CZ,1767,HAK,4120,SZX,3374,,0,321 320 333 CZ,1767,HAK,4120,WUH,3376,,0,320 CZ,1767,HAK,4120,XMN,3383,,0,733 CZ,1767,HAK,4120,ZUH,6355,,0,738 CZ,1767,HAN,3199,CAN,3370,,0,E90 CZ,1767,HAN,3199,PEK,3364,Y,0,321 777 CZ,1767,HDG,8407,CAN,3370,,0,319 CZ,1767,HEK,6410,HRB,3400,,0,320 CZ,1767,HET,6345,CAN,3370,,0,319 CZ,1767,HET,6345,CGQ,4380,,0,319 320 CZ,1767,HET,6345,CSX,3371,,0,320 CZ,1767,HET,6345,DLC,3404,,0,320 CZ,1767,HET,6345,HGH,3386,Y,0,737 CZ,1767,HET,6345,INC,4085,,0,319 320 CZ,1767,HET,6345,NKG,3388,Y,0,737 CZ,1767,HET,6345,SHE,4144,,0,319 CZ,1767,HET,6345,TAO,3390,,0,73G CZ,1767,HET,6345,TGO,6348,,0,319 CZ,1767,HET,6345,TNA,4108,Y,0,737 CZ,1767,HET,6345,TSN,3368,Y,0,737 CZ,1767,HET,6345,URC,3399,,0,319 73G 320 CZ,1767,HET,6345,XIL,6350,,0,319 CZ,1767,HFE,3389,CAN,3370,,0,320 CZ,1767,HFE,3389,CGQ,4380,,0,320 CZ,1767,HFE,3389,CSX,3371,,0,320 CZ,1767,HFE,3389,HRB,3400,,0,738 CZ,1767,HFE,3389,KMG,3382,,0,737 CZ,1767,HFE,3389,SZX,3374,,0,320 CZ,1767,HFE,3389,TYN,3369,Y,0,737 CZ,1767,HFE,3389,XIY,3379,,0,738 73G CZ,1767,HFE,3389,XMN,3383,,0,733 CZ,1767,HFE,3389,ZUH,6355,,0,738 CZ,1767,HGH,3386,AMS,580,Y,0,777 CZ,1767,HGH,3386,CAN,3370,,0,320 738 321 E90 772 319 CZ,1767,HGH,3386,CGO,3375,,0,738 CZ,1767,HGH,3386,CGQ,4380,,0,321 319 320 CZ,1767,HGH,3386,CKG,3393,Y,0,737 CZ,1767,HGH,3386,CSX,3371,,0,320 CZ,1767,HGH,3386,CTU,3395,Y,0,737 CZ,1767,HGH,3386,DLC,3404,,0,320 321 CZ,1767,HGH,3386,FOC,3385,Y,0,737 CZ,1767,HGH,3386,HAK,4120,,0,320 CZ,1767,HGH,3386,HET,6345,Y,0,737 CZ,1767,HGH,3386,HRB,3400,,0,320 CZ,1767,HGH,3386,JJN,6386,Y,0,737 CZ,1767,HGH,3386,KMG,3382,Y,0,737 CZ,1767,HGH,3386,KWE,3394,Y,0,737 CZ,1767,HGH,3386,KWL,3372,,0,738 CZ,1767,HGH,3386,LHW,3378,,0,752 CZ,1767,HGH,3386,LJG,4033,Y,0,737 CZ,1767,HGH,3386,MFM,3121,Y,0,738 CZ,1767,HGH,3386,NNG,3373,,0,319 738 CZ,1767,HGH,3386,NNY,6359,,0,E90 CZ,1767,HGH,3386,PEK,3364,,0,321 CZ,1767,HGH,3386,SHE,4144,,0,320 321 CZ,1767,HGH,3386,SJW,6347,Y,0,737 CZ,1767,HGH,3386,SYX,4030,,0,321 CZ,1767,HGH,3386,SZX,3374,,0,320 321 CZ,1767,HGH,3386,TAO,3390,,0,738 320 CZ,1767,HGH,3386,TNA,4108,Y,0,737 CZ,1767,HGH,3386,TSN,3368,Y,0,737 CZ,1767,HGH,3386,TYN,3369,Y,0,737 CZ,1767,HGH,3386,URC,3399,,0,73G CZ,1767,HGH,3386,WUH,3376,,0,738 CZ,1767,HGH,3386,XIY,3379,,0,321 320 CZ,1767,HGH,3386,XMN,3383,Y,0,737 CZ,1767,HGH,3386,ZUH,6355,,0,738 320 CZ,1767,HJJ,7519,CAN,3370,,0,E90 CZ,1767,HJJ,7519,CSX,3371,,0,320 CZ,1767,HKG,3077,CAN,3370,,0,320 CZ,1767,HKG,3077,CGO,3375,,0,738 CZ,1767,HKG,3077,MXZ,6354,,0,E90 CZ,1767,HKG,3077,PEK,3364,,0,321 CZ,1767,HKG,3077,SHE,4144,,0,320 CZ,1767,HKG,3077,SWA,4302,,0,738 CZ,1767,HKG,3077,WUH,3376,,0,738 CZ,1767,HKG,3077,XMN,3383,,0,738 CZ,1767,HKT,3179,CAN,3370,,0,321 CZ,1767,HKT,3179,KWE,3394,,0,738 CZ,1767,HKT,3179,SZX,3374,,0,321 CZ,1767,HMI,6743,CGO,3375,,0,733 CZ,1767,HMI,6743,URC,3399,,0,E90 CZ,1767,HRB,3400,CAN,3370,,0,320 CZ,1767,HRB,3400,CGO,3375,,0,320 CZ,1767,HRB,3400,CJU,2370,,0,320 CZ,1767,HRB,3400,CSX,3371,,0,321 CZ,1767,HRB,3400,FOC,3385,Y,0,737 CZ,1767,HRB,3400,HEK,6410,,0,320 CZ,1767,HRB,3400,HFE,3389,,0,738 CZ,1767,HRB,3400,HGH,3386,,0,320 CZ,1767,HRB,3400,ICN,3930,,0,320 CZ,1767,HRB,3400,KHN,3384,Y,0,737 CZ,1767,HRB,3400,KIJ,4381,,0,320 CZ,1767,HRB,3400,KIX,3992,,0,319 CZ,1767,HRB,3400,LDS,9848,,0,320 CZ,1767,HRB,3400,NGB,3387,,0,320 CZ,1767,HRB,3400,NKG,3388,,0,320 CZ,1767,HRB,3400,OHE,6943,,0,319 CZ,1767,HRB,3400,PEK,3364,,0,319 320 CZ,1767,HRB,3400,PVG,3406,,0,319 320 CZ,1767,HRB,3400,SJW,6347,,0,321 CZ,1767,HRB,3400,SZX,3374,,0,320 CZ,1767,HRB,3400,TAO,3390,,0,319 738 73G CZ,1767,HRB,3400,TNA,4108,,0,320 CZ,1767,HRB,3400,TPE,2276,,0,321 320 CZ,1767,HRB,3400,TSN,3368,,0,320 CZ,1767,HRB,3400,XIY,3379,,0,320 738 321 CZ,1767,HRB,3400,YCU,6430,,0,320 CZ,1767,HRB,3400,YIW,6394,,0,738 CZ,1767,HRB,3400,YNT,3392,,0,320 CZ,1767,HRB,3400,YNZ,6393,Y,0,737 CZ,1767,HRB,3400,YTY,8876,,0,320 CZ,1767,HSN,6395,JJN,6386,Y,0,737 CZ,1767,HSN,6395,LYG,6383,,0,320 CZ,1767,HSN,6395,PEK,3364,Y,0,737 CZ,1767,HSN,6395,SZX,3374,,0,320 CZ,1767,HSN,6395,XMN,3383,Y,0,737 CZ,1767,HTN,3398,URC,3399,,0,E90 73G CZ,1767,HZH,7508,CAN,3370,,0,E90 CZ,1767,ICN,3930,CAN,3370,,0,321 CZ,1767,ICN,3930,CGO,3375,,0,73J 73H 738 CZ,1767,ICN,3930,CGQ,4380,,0,321 CZ,1767,ICN,3930,CSX,3371,,0,320 CZ,1767,ICN,3930,DLC,3404,,0,321 319 CZ,1767,ICN,3930,HRB,3400,,0,320 CZ,1767,ICN,3930,MDG,3402,,0,73J 320 CZ,1767,ICN,3930,PEK,3364,,0,321 CZ,1767,ICN,3930,PVG,3406,,0,738 CZ,1767,ICN,3930,SHE,4144,,0,321 320 CZ,1767,ICN,3930,WUH,3376,,0,738 CZ,1767,ICN,3930,YNJ,6414,,0,321 CZ,1767,IKA,4330,URC,3399,,0,73G CZ,1767,INC,4085,CGO,3375,,0,738 CZ,1767,INC,4085,CSX,3371,,0,320 CZ,1767,INC,4085,HET,6345,,0,319 320 CZ,1767,INC,4085,NKG,3388,,0,738 CZ,1767,INC,4085,PEK,3364,,0,320 321 CZ,1767,INC,4085,TYN,3369,,0,320 CZ,1767,INC,4085,URC,3399,,0,738 73G CZ,1767,INC,4085,WUH,3376,Y,0,737 CZ,1767,INC,4085,XIY,3379,,0,320 CZ,1767,INC,4085,XUZ,4149,,0,73G CZ,1767,ISB,2223,PEK,3364,Y,0,310 CZ,1767,ISB,2223,URC,3399,,0,752 CZ,1767,IST,1701,URC,3399,,0,330 CZ,1767,JGS,6428,CAN,3370,,0,319 CZ,1767,JHG,3381,CKG,3393,,0,73G CZ,1767,JHG,3381,KMG,3382,,0,733 CZ,1767,JIQ,8781,CAN,3370,,0,319 CZ,1767,JIU,6381,CAN,3370,,0,E90 CZ,1767,JJN,6386,CAN,3370,Y,0,737 CZ,1767,JJN,6386,CSX,3371,Y,0,737 CZ,1767,JJN,6386,HGH,3386,Y,0,737 CZ,1767,JJN,6386,HSN,6395,Y,0,737 CZ,1767,JJN,6386,KWE,3394,Y,0,737 CZ,1767,JJN,6386,MFM,3121,,0,738 CZ,1767,JJN,6386,NKG,3388,Y,0,737 CZ,1767,JJN,6386,PEK,3364,Y,0,737 CZ,1767,JJN,6386,SHA,3391,Y,0,737 CZ,1767,JJN,6386,SZX,3374,Y,0,737 CZ,1767,JJN,6386,WUH,3376,Y,0,737 CZ,1767,JMU,6411,PVG,3406,,0,320 CZ,1767,JNG,6944,CAN,3370,,0,319 CZ,1767,JUH,9843,CAN,3370,,0,319 CZ,1767,JUH,9843,XMN,3383,Y,0,737 CZ,1767,JXA,8417,SHE,4144,,0,320 CZ,1767,KCA,6406,URC,3399,,0,E90 CZ,1767,KHG,3397,URC,3399,,0,E90 73G CZ,1767,KHH,2264,CGO,3375,,0,738 CZ,1767,KHH,2264,WUH,3376,,0,738 CZ,1767,KHN,3384,CAN,3370,,0,320 73G 738 CZ,1767,KHN,3384,CGQ,4380,,0,320 CZ,1767,KHN,3384,CKG,3393,Y,0,737 CZ,1767,KHN,3384,DLC,3404,,0,738 CZ,1767,KHN,3384,HRB,3400,Y,0,737 CZ,1767,KHN,3384,KMG,3382,,0,320 733 CZ,1767,KHN,3384,LYA,4148,,0,319 CZ,1767,KHN,3384,NKG,3388,,0,738 319 CZ,1767,KHN,3384,NNG,3373,,0,738 CZ,1767,KHN,3384,SZX,3374,,0,321 319 320 CZ,1767,KHN,3384,TYN,3369,,0,321 CZ,1767,KHN,3384,XIY,3379,Y,0,737 CZ,1767,KHN,3384,XMN,3383,Y,0,737 CZ,1767,KHN,3384,ZUH,6355,,0,738 CZ,1767,KIJ,4381,HRB,3400,,0,320 CZ,1767,KIX,3992,CAN,3370,,0,321 CZ,1767,KIX,3992,DLC,3404,,0,319 CZ,1767,KIX,3992,HRB,3400,,0,319 CZ,1767,KIX,3992,SHE,4144,,0,320 CZ,1767,KMG,3382,BHY,6351,Y,0,737 CZ,1767,KMG,3382,BSD,7505,Y,0,733 CZ,1767,KMG,3382,CAN,3370,,0,737 320 738 319 CZ,1767,KMG,3382,CGO,3375,,0,737 73G 733 CZ,1767,KMG,3382,CKG,3393,,0,321 738 320 73G CZ,1767,KMG,3382,CSX,3371,,0,320 321 CZ,1767,KMG,3382,CTU,3395,,0,737 733 CZ,1767,KMG,3382,DIG,6375,,0,737 CZ,1767,KMG,3382,DLU,4054,,0,319 CZ,1767,KMG,3382,FOC,3385,Y,0,737 CZ,1767,KMG,3382,HAK,4120,,0,320 CZ,1767,KMG,3382,HFE,3389,,0,737 CZ,1767,KMG,3382,HGH,3386,Y,0,737 CZ,1767,KMG,3382,JHG,3381,,0,733 CZ,1767,KMG,3382,KHN,3384,,0,733 320 CZ,1767,KMG,3382,KWE,3394,,0,73G 738 CZ,1767,KMG,3382,KWL,3372,,0,738 73G CZ,1767,KMG,3382,LHW,3378,,0,320 CZ,1767,KMG,3382,LJG,4033,,0,73G 320 CZ,1767,KMG,3382,LNJ,7527,,0,737 733 CZ,1767,KMG,3382,NKG,3388,,0,737 CZ,1767,KMG,3382,NNG,3373,,0,738 CZ,1767,KMG,3382,PEK,3364,,0,333 321 737 CZ,1767,KMG,3382,SHA,3391,,0,733 737 CZ,1767,KMG,3382,SYM,6377,,0,733 CZ,1767,KMG,3382,SYX,4030,,0,733 CZ,1767,KMG,3382,SZX,3374,,0,737 321 320 319 CZ,1767,KMG,3382,TAO,3390,,0,320 CZ,1767,KMG,3382,WNH,7528,,0,737 CZ,1767,KMG,3382,WUH,3376,,0,321 738 CZ,1767,KMG,3382,XIY,3379,,0,737 320 321 CZ,1767,KMG,3382,XMN,3383,,0,737 CZ,1767,KMG,3382,YIW,6394,,0,738 CZ,1767,KMG,3382,ZAT,6378,,0,733 CZ,1767,KMG,3382,ZUH,6355,,0,738 CZ,1767,KOW,6379,CAN,3370,,0,319 CZ,1767,KOW,6379,PEK,3364,,0,320 CZ,1767,KOW,6379,SZX,3374,,0,320 CZ,1767,KRL,6407,URC,3399,,0,738 E90 73G CZ,1767,KRY,6408,URC,3399,,0,73G CZ,1767,KTM,3125,CAN,3370,,0,319 CZ,1767,KUL,3304,CAN,3370,,0,320 73G CZ,1767,KUL,3304,FOC,3385,Y,0,738 CZ,1767,KUL,3304,PVG,3406,Y,0,333 CZ,1767,KUL,3304,XMN,3383,Y,0,738 CZ,1767,KWE,3394,CAN,3370,,0,738 CZ,1767,KWE,3394,CGO,3375,,0,319 CZ,1767,KWE,3394,CKG,3393,,0,738 CZ,1767,KWE,3394,CSX,3371,Y,0,737 CZ,1767,KWE,3394,CTU,3395,,0,738 CZ,1767,KWE,3394,DLU,4054,,0,319 CZ,1767,KWE,3394,FOC,3385,Y,0,737 CZ,1767,KWE,3394,HGH,3386,Y,0,737 CZ,1767,KWE,3394,HKT,3179,,0,738 CZ,1767,KWE,3394,JJN,6386,Y,0,737 CZ,1767,KWE,3394,KMG,3382,,0,738 73G CZ,1767,KWE,3394,LJG,4033,,0,319 CZ,1767,KWE,3394,NKG,3388,,0,738 319 CZ,1767,KWE,3394,NNG,3373,,0,73G 738 CZ,1767,KWE,3394,PEK,3364,,0,738 73G CZ,1767,KWE,3394,PVG,3406,,0,738 CZ,1767,KWE,3394,SHA,3391,,0,73G 321 738 CZ,1767,KWE,3394,SWA,4302,,0,738 CZ,1767,KWE,3394,SZX,3374,,0,320 738 319 CZ,1767,KWE,3394,TAO,3390,,0,738 CZ,1767,KWE,3394,TPE,2276,,0,738 CZ,1767,KWE,3394,URC,3399,,0,73G CZ,1767,KWE,3394,WUH,3376,,0,73G 738 CZ,1767,KWE,3394,XIY,3379,,0,73G 320 738 CZ,1767,KWE,3394,XNN,6366,,0,738 CZ,1767,KWE,3394,ZUH,6355,,0,73G 738 CZ,1767,KWL,3372,CAN,3370,,0,73G 738 CZ,1767,KWL,3372,CKG,3393,,0,738 CZ,1767,KWL,3372,CTU,3395,,0,738 CZ,1767,KWL,3372,FOC,3385,Y,0,737 CZ,1767,KWL,3372,HGH,3386,,0,738 CZ,1767,KWL,3372,KMG,3382,,0,738 73G CZ,1767,KWL,3372,NGB,3387,,0,738 CZ,1767,KWL,3372,NKG,3388,,0,738 CZ,1767,KWL,3372,NNG,3373,,0,738 CZ,1767,KWL,3372,PEK,3364,,0,738 321 CZ,1767,KWL,3372,PVG,3406,,0,738 CZ,1767,KWL,3372,SHE,4144,,0,738 CZ,1767,KWL,3372,SWA,4302,,0,738 CZ,1767,KWL,3372,SZX,3374,,0,738 321 320 CZ,1767,KWL,3372,TNA,4108,,0,738 CZ,1767,KWL,3372,TPE,2276,,0,738 CZ,1767,KWL,3372,WNZ,6392,,0,738 CZ,1767,KWL,3372,WUH,3376,,0,73G CZ,1767,KWL,3372,XIY,3379,,0,73G 320 CZ,1767,KWL,3372,XMN,3383,Y,0,737 CZ,1767,LAX,3484,CAN,3370,,0,380 CZ,1767,LBD,6147,URC,3399,,0,73G CZ,1767,LDS,9848,HRB,3400,,0,320 CZ,1767,LHR,507,CAN,3370,,0,787 CZ,1767,LHW,3378,CAN,3370,,0,320 CZ,1767,LHW,3378,CGO,3375,Y,0,737 CZ,1767,LHW,3378,CSX,3371,,0,320 CZ,1767,LHW,3378,HGH,3386,,0,752 CZ,1767,LHW,3378,KMG,3382,,0,320 CZ,1767,LHW,3378,SHE,4144,,0,319 320 CZ,1767,LHW,3378,TNA,4108,,0,320 CZ,1767,LHW,3378,URC,3399,,0,319 752 320 CZ,1767,LHW,3378,WUH,3376,Y,0,737 CZ,1767,LJG,4033,CKG,3393,Y,0,737 CZ,1767,LJG,4033,HGH,3386,Y,0,737 CZ,1767,LJG,4033,KMG,3382,,0,320 73G 733 737 CZ,1767,LJG,4033,KWE,3394,,0,319 CZ,1767,LLB,\N,CAN,3370,,0,319 CZ,1767,LNJ,7527,KMG,3382,,0,733 CZ,1767,LUN,907,NBO,4059,,0,763 E90 E70 CZ,1767,LXA,4097,CKG,3393,,0,319 CZ,1767,LXA,4097,XIY,3379,,0,319 CZ,1767,LYA,4148,CAN,3370,,0,E90 CZ,1767,LYA,4148,KHN,3384,,0,319 CZ,1767,LYG,6383,CAN,3370,,0,320 CZ,1767,LYG,6383,HSN,6395,,0,320 CZ,1767,LYG,6383,XUZ,4149,,0,738 CZ,1767,LZH,6356,CAN,3370,,0,320 319 CZ,1767,LZO,6399,CSX,3371,Y,0,737 CZ,1767,LZO,6399,SZX,3374,,0,319 CZ,1767,MDG,3402,DLC,3404,,0,319 CZ,1767,MDG,3402,ICN,3930,,0,73J 320 CZ,1767,MDG,3402,PVG,3406,,0,320 CZ,1767,MEL,3339,CAN,3370,,0,333 CZ,1767,MFM,3121,FOC,3385,,0,738 CZ,1767,MFM,3121,HGH,3386,Y,0,738 CZ,1767,MFM,3121,JJN,6386,,0,738 CZ,1767,MFM,3121,XMN,3383,,0,738 CZ,1767,MIG,6400,CAN,3370,,0,319 CZ,1767,MIG,6400,CSX,3371,Y,0,737 CZ,1767,MLE,3156,CAN,3370,,0,772 CZ,1767,MNL,2397,CAN,3370,,0,E90 CZ,1767,MNL,2397,XMN,3383,,0,321 CZ,1767,MXZ,6354,CAN,3370,,0,E90 CZ,1767,MXZ,6354,HKG,3077,,0,E90 CZ,1767,MXZ,6354,SZX,3374,,0,E90 CZ,1767,MXZ,6354,ZUH,6355,,0,E90 CZ,1767,NAO,6401,CAN,3370,,0,319 CZ,1767,NAO,6401,PEK,3364,,0,319 CZ,1767,NAO,6401,SZX,3374,,0,321 CZ,1767,NBO,4059,BKK,3885,,0,763 CZ,1767,NBO,4059,CAN,3370,,0,773 CZ,1767,NBO,4059,LUN,907,,0,738 763 CZ,1767,NBS,8826,CGQ,4380,,0,319 CZ,1767,NBS,8826,PEK,3364,,0,319 CZ,1767,NBS,8826,SHE,4144,,0,320 CZ,1767,NDG,6413,PVG,3406,,0,320 CZ,1767,NGB,3387,CAN,3370,,0,320 321 738 CZ,1767,NGB,3387,CGQ,4380,Y,0,737 CZ,1767,NGB,3387,CSX,3371,,0,738 CZ,1767,NGB,3387,DLC,3404,,0,321 738 CZ,1767,NGB,3387,HRB,3400,,0,320 CZ,1767,NGB,3387,KWL,3372,,0,738 CZ,1767,NGB,3387,PEK,3364,,0,320 321 CZ,1767,NGB,3387,SWA,4302,,0,738 CZ,1767,NGB,3387,SZX,3374,,0,321 320 319 CZ,1767,NGB,3387,TAO,3390,,0,738 CZ,1767,NGB,3387,WUH,3376,,0,738 CZ,1767,NGB,3387,XMN,3383,Y,0,737 CZ,1767,NGO,3942,DLC,3404,,0,319 CZ,1767,NGO,3942,PVG,3406,,0,320 CZ,1767,NGO,3942,SHE,4144,,0,319 CZ,1767,NKG,3388,CAN,3370,,0,320 321 332 738 CZ,1767,NKG,3388,CGQ,4380,,0,319 CZ,1767,NKG,3388,CSX,3371,,0,320 CZ,1767,NKG,3388,DLC,3404,,0,320 738 CZ,1767,NKG,3388,FOC,3385,Y,0,737 CZ,1767,NKG,3388,HAK,4120,,0,320 CZ,1767,NKG,3388,HET,6345,Y,0,737 CZ,1767,NKG,3388,HRB,3400,,0,320 CZ,1767,NKG,3388,INC,4085,,0,738 CZ,1767,NKG,3388,JJN,6386,Y,0,737 CZ,1767,NKG,3388,KHN,3384,,0,738 319 CZ,1767,NKG,3388,KMG,3382,,0,737 CZ,1767,NKG,3388,KWE,3394,,0,319 738 CZ,1767,NKG,3388,KWL,3372,,0,738 CZ,1767,NKG,3388,SHE,4144,,0,738 319 CZ,1767,NKG,3388,SWA,4302,,0,738 CZ,1767,NKG,3388,SZX,3374,,0,320 321 CZ,1767,NKG,3388,URC,3399,,0,73G CZ,1767,NKG,3388,XIY,3379,,0,320 CZ,1767,NKG,3388,XMN,3383,,0,319 CZ,1767,NLT,9386,URC,3399,,0,E90 CZ,1767,NNG,3373,BKK,3885,,0,738 CZ,1767,NNG,3373,CAN,3370,,0,738 73G 319 320 CZ,1767,NNG,3373,CGO,3375,,0,738 CZ,1767,NNG,3373,CKG,3393,,0,738 73G CZ,1767,NNG,3373,CSX,3371,,0,738 CZ,1767,NNG,3373,FOC,3385,Y,0,737 CZ,1767,NNG,3373,HAK,4120,,0,738 CZ,1767,NNG,3373,HGH,3386,,0,738 319 CZ,1767,NNG,3373,KHN,3384,,0,738 CZ,1767,NNG,3373,KMG,3382,,0,738 CZ,1767,NNG,3373,KWE,3394,,0,73G 738 CZ,1767,NNG,3373,KWL,3372,,0,738 CZ,1767,NNG,3373,PEK,3364,,0,738 330 CZ,1767,NNG,3373,PVG,3406,,0,73G CZ,1767,NNG,3373,SHA,3391,,0,738 320 CZ,1767,NNG,3373,SWA,4302,,0,738 CZ,1767,NNG,3373,SZX,3374,,0,738 CZ,1767,NNG,3373,TPE,2276,,0,738 CZ,1767,NNG,3373,WUH,3376,,0,738 CZ,1767,NNG,3373,XMN,3383,Y,0,737 CZ,1767,NNY,6359,CAN,3370,,0,E90 CZ,1767,NNY,6359,CGO,3375,,0,320 CZ,1767,NNY,6359,CTU,3395,,0,E90 CZ,1767,NNY,6359,HGH,3386,,0,E90 CZ,1767,NNY,6359,SHA,3391,,0,E90 CZ,1767,NNY,6359,SZX,3374,,0,319 CZ,1767,NRT,2279,CAN,3370,,0,332 CZ,1767,NRT,2279,CGQ,4380,,0,321 CZ,1767,NRT,2279,DLC,3404,,0,319 321 320 CZ,1767,NRT,2279,PEK,3364,Y,0,73H 767 CZ,1767,NRT,2279,SHE,4144,,0,320 CZ,1767,NTG,5475,CAN,3370,,0,738 CZ,1767,OHE,6943,HRB,3400,,0,319 CZ,1767,OSS,2913,URC,3399,,0,73G CZ,1767,OVB,4078,URC,3399,,0,73G CZ,1767,PEK,3364,AMS,580,,0,332 CZ,1767,PEK,3364,AOG,9844,,0,320 CZ,1767,PEK,3364,CAN,3370,,0,330 380 332 333 321 787 CZ,1767,PEK,3364,CGD,6352,,0,321 CZ,1767,PEK,3364,CGO,3375,,0,320 CZ,1767,PEK,3364,CGQ,4380,,0,320 321 319 CZ,1767,PEK,3364,CIH,6343,,0,320 CZ,1767,PEK,3364,CKG,3393,,0,319 CZ,1767,PEK,3364,CSX,3371,,0,321 320 CZ,1767,PEK,3364,CTU,3395,,0,330 777 CZ,1767,PEK,3364,DLC,3404,,0,321 320 CZ,1767,PEK,3364,DQA,9845,,0,319 320 CZ,1767,PEK,3364,DTW,3645,Y,0,777 CZ,1767,PEK,3364,DYG,6353,,0,320 CZ,1767,PEK,3364,FOC,3385,Y,0,737 CZ,1767,PEK,3364,GMP,2378,,0,321 CZ,1767,PEK,3364,HAK,4120,,0,320 CZ,1767,PEK,3364,HAN,3199,Y,0,321 777 CZ,1767,PEK,3364,HGH,3386,,0,321 CZ,1767,PEK,3364,HKG,3077,,0,321 CZ,1767,PEK,3364,HRB,3400,,0,320 319 CZ,1767,PEK,3364,HSN,6395,Y,0,737 CZ,1767,PEK,3364,ICN,3930,,0,321 CZ,1767,PEK,3364,INC,4085,,0,320 321 CZ,1767,PEK,3364,ISB,2223,Y,0,310 CZ,1767,PEK,3364,JJN,6386,Y,0,737 CZ,1767,PEK,3364,KMG,3382,,0,321 737 333 CZ,1767,PEK,3364,KOW,6379,,0,320 CZ,1767,PEK,3364,KWE,3394,,0,738 73G CZ,1767,PEK,3364,KWL,3372,,0,738 321 CZ,1767,PEK,3364,NAO,6401,,0,319 CZ,1767,PEK,3364,NBS,8826,,0,319 CZ,1767,PEK,3364,NGB,3387,,0,320 321 CZ,1767,PEK,3364,NNG,3373,,0,330 738 CZ,1767,PEK,3364,NRT,2279,Y,0,767 73H CZ,1767,PEK,3364,PVG,3406,,0,333 321 CZ,1767,PEK,3364,SEA,3577,Y,0,76W CZ,1767,PEK,3364,SHA,3391,,0,333 321 767 CZ,1767,PEK,3364,SHE,4144,,0,321 320 CZ,1767,PEK,3364,SWA,4302,,0,738 CZ,1767,PEK,3364,SYX,4030,,0,321 CZ,1767,PEK,3364,SZX,3374,,0,333 321 CZ,1767,PEK,3364,TAS,2983,,0,330 CZ,1767,PEK,3364,TEN,6963,,0,319 CZ,1767,PEK,3364,URC,3399,,0,321 777 73G 330 752 738 CZ,1767,PEK,3364,WUH,3376,,0,321 738 CZ,1767,PEK,3364,WUS,6391,Y,0,737 CZ,1767,PEK,3364,XIY,3379,,0,333 320 321 CZ,1767,PEK,3364,XMN,3383,,0,321 CZ,1767,PEK,3364,XNN,6366,,0,320 CZ,1767,PEK,3364,YIW,6394,,0,738 CZ,1767,PEK,3364,YNJ,6414,,0,320 321 CZ,1767,PEK,3364,ZUH,6355,,0,738 CZ,1767,PEK,3364,ZYI,9846,,0,319 CZ,1767,PEN,3308,CAN,3370,,0,320 CZ,1767,PER,3351,CAN,3370,,0,332 CZ,1767,PNH,3034,CAN,3370,,0,321 319 CZ,1767,PUS,2372,SHE,4144,,0,320 CZ,1767,PVG,3406,AMS,580,Y,0,74M 747 CZ,1767,PVG,3406,CAN,3370,,0,320 738 CZ,1767,PVG,3406,CGO,3375,,0,320 738 CZ,1767,PVG,3406,CGQ,4380,,0,320 319 321 CZ,1767,PVG,3406,CSX,3371,,0,321 320 CZ,1767,PVG,3406,DDG,6433,,0,320 CZ,1767,PVG,3406,DLC,3404,,0,321 320 CZ,1767,PVG,3406,DTW,3645,Y,0,77L CZ,1767,PVG,3406,HAK,4120,,0,320 CZ,1767,PVG,3406,HRB,3400,,0,319 320 CZ,1767,PVG,3406,ICN,3930,,0,738 CZ,1767,PVG,3406,JMU,6411,,0,320 CZ,1767,PVG,3406,KUL,3304,Y,0,333 CZ,1767,PVG,3406,KWE,3394,,0,738 CZ,1767,PVG,3406,KWL,3372,,0,738 CZ,1767,PVG,3406,MDG,3402,,0,320 CZ,1767,PVG,3406,NDG,6413,,0,320 CZ,1767,PVG,3406,NGO,3942,,0,320 CZ,1767,PVG,3406,NNG,3373,,0,73G CZ,1767,PVG,3406,PEK,3364,,0,321 320 333 CZ,1767,PVG,3406,SHE,4144,,0,320 321 319 CZ,1767,PVG,3406,SYX,4030,,0,320 CZ,1767,PVG,3406,SZX,3374,,0,320 321 CZ,1767,PVG,3406,TAO,3390,,0,319 CZ,1767,PVG,3406,TPE,2276,,0,321 333 CZ,1767,PVG,3406,URC,3399,,0,320 CZ,1767,PVG,3406,WUH,3376,,0,738 320 CZ,1767,PVG,3406,XIY,3379,,0,738 320 CZ,1767,PVG,3406,YNJ,6414,,0,320 CZ,1767,PVG,3406,ZUH,6355,,0,738 CZ,1767,REP,3035,CAN,3370,,0,320 CZ,1767,RGN,3239,CAN,3370,,0,319 CZ,1767,SEA,3577,PEK,3364,Y,0,76W CZ,1767,SGN,3205,CAN,3370,,0,738 CZ,1767,SHA,3391,CAN,3370,,0,333 321 AB6 738 77W 777 772 330 320 CZ,1767,SHA,3391,CGO,3375,,0,737 738 320 321 CZ,1767,SHA,3391,CSX,3371,,0,321 320 CZ,1767,SHA,3391,FOC,3385,Y,0,737 CZ,1767,SHA,3391,JJN,6386,Y,0,737 CZ,1767,SHA,3391,KMG,3382,,0,733 737 CZ,1767,SHA,3391,KWE,3394,,0,321 73G 738 CZ,1767,SHA,3391,NNG,3373,,0,738 320 CZ,1767,SHA,3391,NNY,6359,,0,E90 CZ,1767,SHA,3391,PEK,3364,,0,333 767 321 CZ,1767,SHA,3391,SWA,4302,,0,738 321 CZ,1767,SHA,3391,SZX,3374,,0,321 767 333 320 AB6 CZ,1767,SHA,3391,URC,3399,,0,73G 752 CZ,1767,SHA,3391,WUH,3376,,0,321 738 733 320 CZ,1767,SHA,3391,XIY,3379,,0,320 321 CZ,1767,SHA,3391,XMN,3383,Y,0,737 CZ,1767,SHA,3391,ZUH,6355,,0,320 321 CZ,1767,SHE,4144,BAV,6346,,0,321 320 319 CZ,1767,SHE,4144,CAN,3370,,0,319 320 CZ,1767,SHE,4144,CGO,3375,,0,73G 320 321 CZ,1767,SHE,4144,CJU,2370,,0,321 CZ,1767,SHE,4144,CKG,3393,,0,321 320 CZ,1767,SHE,4144,CZX,4109,,0,320 CZ,1767,SHE,4144,FUK,2305,,0,319 CZ,1767,SHE,4144,HET,6345,,0,319 CZ,1767,SHE,4144,HGH,3386,,0,320 321 CZ,1767,SHE,4144,HKG,3077,,0,320 CZ,1767,SHE,4144,ICN,3930,,0,321 320 CZ,1767,SHE,4144,JXA,8417,,0,320 CZ,1767,SHE,4144,KIX,3992,,0,320 CZ,1767,SHE,4144,KWL,3372,,0,738 CZ,1767,SHE,4144,LHW,3378,,0,319 320 CZ,1767,SHE,4144,NBS,8826,,0,320 CZ,1767,SHE,4144,NGO,3942,,0,319 CZ,1767,SHE,4144,NKG,3388,,0,319 738 CZ,1767,SHE,4144,NRT,2279,,0,320 CZ,1767,SHE,4144,PEK,3364,,0,320 321 CZ,1767,SHE,4144,PUS,2372,,0,320 CZ,1767,SHE,4144,PVG,3406,,0,320 321 319 CZ,1767,SHE,4144,SJW,6347,,0,319 CZ,1767,SHE,4144,TAO,3390,,0,321 320 CZ,1767,SHE,4144,TNA,4108,Y,0,737 CZ,1767,SHE,4144,TPE,2276,,0,320 CZ,1767,SHE,4144,TYN,3369,,0,320 CZ,1767,SHE,4144,WUH,3376,,0,320 CZ,1767,SHE,4144,XIY,3379,,0,320 CZ,1767,SHE,4144,XMN,3383,Y,0,737 CZ,1767,SHE,4144,YIW,6394,,0,738 CZ,1767,SHE,4144,YNT,3392,,0,320 321 319 CZ,1767,SHE,4144,YNZ,6393,,0,73G 738 CZ,1767,SIN,3316,CAN,3370,,0,320 319 CZ,1767,SIN,3316,FOC,3385,Y,0,738 CZ,1767,SIN,3316,XMN,3383,,0,738 CZ,1767,SJW,6347,BAV,6346,,0,320 CZ,1767,SJW,6347,BHY,6351,,0,321 CZ,1767,SJW,6347,CAN,3370,,0,320 E90 CZ,1767,SJW,6347,CSX,3371,,0,320 CZ,1767,SJW,6347,DLC,3404,,0,320 319 CZ,1767,SJW,6347,HGH,3386,Y,0,737 CZ,1767,SJW,6347,HRB,3400,,0,321 CZ,1767,SJW,6347,SHE,4144,,0,319 CZ,1767,SJW,6347,SZX,3374,,0,319 CZ,1767,SJW,6347,URC,3399,,0,320 319 CZ,1767,SVO,2985,CAN,3370,,0,333 332 CZ,1767,SVO,2985,URC,3399,,0,738 CZ,1767,SWA,4302,BKK,3885,,0,738 CZ,1767,SWA,4302,CAN,3370,,0,738 CZ,1767,SWA,4302,CSX,3371,,0,738 CZ,1767,SWA,4302,CTU,3395,,0,738 CZ,1767,SWA,4302,HKG,3077,,0,738 CZ,1767,SWA,4302,KWE,3394,,0,738 CZ,1767,SWA,4302,KWL,3372,,0,738 CZ,1767,SWA,4302,NGB,3387,,0,738 CZ,1767,SWA,4302,NKG,3388,,0,738 CZ,1767,SWA,4302,NNG,3373,,0,738 CZ,1767,SWA,4302,PEK,3364,,0,738 CZ,1767,SWA,4302,SHA,3391,,0,738 321 CZ,1767,SWA,4302,SYX,4030,,0,738 CZ,1767,SWA,4302,WUH,3376,,0,738 CZ,1767,SWA,4302,YIW,6394,,0,738 CZ,1767,SWA,4302,ZUH,6355,,0,738 CZ,1767,SYD,3361,CAN,3370,,0,333 332 CZ,1767,SYM,6377,KMG,3382,,0,733 CZ,1767,SYX,4030,CAN,3370,,0,320 321 738 CZ,1767,SYX,4030,CGO,3375,,0,320 CZ,1767,SYX,4030,CKG,3393,,0,320 CZ,1767,SYX,4030,CSX,3371,,0,321 CZ,1767,SYX,4030,FOC,3385,Y,0,737 CZ,1767,SYX,4030,HGH,3386,,0,321 CZ,1767,SYX,4030,KMG,3382,,0,733 CZ,1767,SYX,4030,PEK,3364,,0,321 CZ,1767,SYX,4030,PVG,3406,,0,320 CZ,1767,SYX,4030,SWA,4302,,0,738 CZ,1767,SYX,4030,SZX,3374,,0,320 321 CZ,1767,SYX,4030,WUH,3376,,0,320 CZ,1767,SYX,4030,XIY,3379,,0,320 CZ,1767,SYX,4030,XMN,3383,Y,0,737 CZ,1767,SYX,4030,YCU,6430,,0,320 CZ,1767,SYX,4030,YTY,8876,,0,320 CZ,1767,SYX,4030,ZHA,6357,,0,E90 CZ,1767,SYX,4030,ZUH,6355,,0,738 CZ,1767,SZX,3374,BFJ,9025,,0,320 CZ,1767,SZX,3374,BKI,3269,,0,321 CZ,1767,SZX,3374,CGD,6352,,0,319 CZ,1767,SZX,3374,CGO,3375,,0,738 733 73G CZ,1767,SZX,3374,CJU,2370,,0,320 CZ,1767,SZX,3374,CKG,3393,,0,320 CZ,1767,SZX,3374,CSX,3371,,0,320 752 CZ,1767,SZX,3374,CTU,3395,,0,321 333 320 CZ,1767,SZX,3374,CZX,4109,,0,320 CZ,1767,SZX,3374,DLC,3404,,0,319 CZ,1767,SZX,3374,DPS,3940,,0,320 CZ,1767,SZX,3374,DYG,6353,,0,319 CZ,1767,SZX,3374,FOC,3385,,0,320 CZ,1767,SZX,3374,HAK,4120,,0,321 320 333 CZ,1767,SZX,3374,HFE,3389,,0,320 CZ,1767,SZX,3374,HGH,3386,,0,321 320 CZ,1767,SZX,3374,HKT,3179,,0,321 CZ,1767,SZX,3374,HRB,3400,,0,320 CZ,1767,SZX,3374,HSN,6395,,0,320 CZ,1767,SZX,3374,JJN,6386,Y,0,737 CZ,1767,SZX,3374,KHN,3384,,0,321 319 320 CZ,1767,SZX,3374,KMG,3382,,0,321 320 737 319 CZ,1767,SZX,3374,KOW,6379,,0,320 CZ,1767,SZX,3374,KWE,3394,,0,320 738 319 CZ,1767,SZX,3374,KWL,3372,,0,738 321 320 CZ,1767,SZX,3374,LZO,6399,,0,319 CZ,1767,SZX,3374,MXZ,6354,,0,E90 CZ,1767,SZX,3374,NAO,6401,,0,321 CZ,1767,SZX,3374,NGB,3387,,0,320 321 319 CZ,1767,SZX,3374,NKG,3388,,0,321 320 CZ,1767,SZX,3374,NNG,3373,,0,738 CZ,1767,SZX,3374,NNY,6359,,0,319 CZ,1767,SZX,3374,PEK,3364,,0,333 321 CZ,1767,SZX,3374,PVG,3406,,0,320 321 CZ,1767,SZX,3374,SHA,3391,,0,333 AB6 767 320 321 CZ,1767,SZX,3374,SJW,6347,,0,319 CZ,1767,SZX,3374,SYX,4030,,0,320 321 CZ,1767,SZX,3374,TAO,3390,,0,320 321 CZ,1767,SZX,3374,TEN,6963,,0,319 CZ,1767,SZX,3374,TPE,2276,,0,321 CZ,1767,SZX,3374,TSN,3368,Y,0,737 CZ,1767,SZX,3374,TXN,6387,,0,319 CZ,1767,SZX,3374,WNZ,6392,,0,321 CZ,1767,SZX,3374,WUH,3376,,0,320 733 738 CZ,1767,SZX,3374,WUX,6390,,0,321 CZ,1767,SZX,3374,XIY,3379,,0,320 CZ,1767,SZX,3374,XMN,3383,,0,738 CZ,1767,SZX,3374,ZYI,9846,,0,320 CZ,1767,TAO,3390,CAN,3370,,0,320 738 321 319 CZ,1767,TAO,3390,CGO,3375,,0,738 CZ,1767,TAO,3390,CGQ,4380,,0,320 321 738 CZ,1767,TAO,3390,CSX,3371,,0,320 321 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CZ,1767,TSN,3368,CAN,3370,,0,738 73G 319 CZ,1767,TSN,3368,CKG,3393,,0,320 CZ,1767,TSN,3368,CSX,3371,,0,320 CZ,1767,TSN,3368,DLC,3404,,0,320 CZ,1767,TSN,3368,HET,6345,Y,0,737 CZ,1767,TSN,3368,HGH,3386,Y,0,737 CZ,1767,TSN,3368,HRB,3400,,0,320 CZ,1767,TSN,3368,SZX,3374,Y,0,737 CZ,1767,TSN,3368,WUH,3376,,0,738 73G CZ,1767,TSN,3368,XIY,3379,Y,0,737 CZ,1767,TSN,3368,XMN,3383,Y,0,737 CZ,1767,TXN,6387,CAN,3370,,0,320 CZ,1767,TXN,6387,CSX,3371,,0,320 CZ,1767,TXN,6387,DLC,3404,,0,320 CZ,1767,TXN,6387,SZX,3374,,0,319 CZ,1767,TXN,6387,TAO,3390,,0,320 CZ,1767,TXN,6387,TYN,3369,Y,0,737 CZ,1767,TXN,6387,XMN,3383,Y,0,737 CZ,1767,TYN,3369,CAN,3370,,0,737 738 320 CZ,1767,TYN,3369,CGQ,4380,,0,319 320 CZ,1767,TYN,3369,CSX,3371,,0,738 CZ,1767,TYN,3369,CTU,3395,,0,320 CZ,1767,TYN,3369,CZX,4109,Y,0,737 CZ,1767,TYN,3369,DAT,6344,Y,0,737 CZ,1767,TYN,3369,DLC,3404,,0,321 CZ,1767,TYN,3369,DYG,6353,,0,320 CZ,1767,TYN,3369,HFE,3389,Y,0,737 CZ,1767,TYN,3369,HGH,3386,Y,0,737 CZ,1767,TYN,3369,INC,4085,,0,320 CZ,1767,TYN,3369,KHN,3384,,0,321 CZ,1767,TYN,3369,SHE,4144,,0,320 CZ,1767,TYN,3369,TAO,3390,,0,738 CZ,1767,TYN,3369,TXN,6387,Y,0,737 CZ,1767,TYN,3369,URC,3399,,0,738 CZ,1767,TYN,3369,WUH,3376,,0,73G CZ,1767,TYN,3369,XIY,3379,,0,320 319 CZ,1767,TYN,3369,XMN,3383,Y,0,737 CZ,1767,URC,3399,AAT,6946,,0,73G E90 CZ,1767,URC,3399,AKU,6404,,0,73G E90 CZ,1767,URC,3399,ALA,2908,,0,73G CZ,1767,URC,3399,ASB,2976,,0,73G CZ,1767,URC,3399,BAV,6346,,0,319 320 CZ,1767,URC,3399,CAN,3370,,0,738 777 752 73G CZ,1767,URC,3399,CGO,3375,,0,752 738 CZ,1767,URC,3399,CKG,3393,,0,738 320 73G CZ,1767,URC,3399,CSX,3371,,0,752 CZ,1767,URC,3399,CTU,3395,,0,738 320 752 CZ,1767,URC,3399,DNH,4308,,0,E90 CZ,1767,URC,3399,DYU,2979,,0,752 CZ,1767,URC,3399,FRU,2912,,0,73G CZ,1767,URC,3399,GYD,2922,,0,73G CZ,1767,URC,3399,HET,6345,,0,73G 319 320 CZ,1767,URC,3399,HGH,3386,,0,73G CZ,1767,URC,3399,HMI,6743,,0,E90 CZ,1767,URC,3399,HTN,3398,,0,E90 73G CZ,1767,URC,3399,IKA,4330,,0,73G CZ,1767,URC,3399,INC,4085,,0,738 73G CZ,1767,URC,3399,ISB,2223,,0,752 CZ,1767,URC,3399,IST,1701,,0,330 CZ,1767,URC,3399,KCA,6406,,0,E90 CZ,1767,URC,3399,KHG,3397,,0,E90 73G CZ,1767,URC,3399,KRL,6407,,0,738 E90 73G CZ,1767,URC,3399,KRY,6408,,0,73G CZ,1767,URC,3399,KWE,3394,,0,73G CZ,1767,URC,3399,LBD,6147,,0,73G CZ,1767,URC,3399,LHW,3378,,0,752 319 320 CZ,1767,URC,3399,NKG,3388,,0,73G CZ,1767,URC,3399,NLT,9386,,0,E90 CZ,1767,URC,3399,OSS,2913,,0,73G CZ,1767,URC,3399,OVB,4078,,0,73G CZ,1767,URC,3399,PEK,3364,,0,73G 777 321 330 752 738 CZ,1767,URC,3399,PVG,3406,,0,320 CZ,1767,URC,3399,SHA,3391,,0,752 73G CZ,1767,URC,3399,SJW,6347,,0,320 319 CZ,1767,URC,3399,SVO,2985,,0,738 CZ,1767,URC,3399,TAS,2983,,0,752 CZ,1767,URC,3399,TBS,3973,,0,73G CZ,1767,URC,3399,TCG,6752,,0,E90 CZ,1767,URC,3399,TNA,4108,,0,320 CZ,1767,URC,3399,TPE,2276,,0,752 333 CZ,1767,URC,3399,TSE,2910,,0,73G CZ,1767,URC,3399,TYN,3369,,0,738 CZ,1767,URC,3399,WUH,3376,,0,738 320 73G CZ,1767,URC,3399,XIY,3379,,0,738 E90 320 752 73G CZ,1767,URC,3399,XNN,6366,,0,320 CZ,1767,URC,3399,YIN,6409,,0,73G E90 CZ,1767,URC,3399,YIW,6394,,0,738 CZ,1767,UYN,6368,CGO,3375,,0,738 CZ,1767,UYN,6368,XIY,3379,,0,319 320 CZ,1767,WNH,7528,KMG,3382,,0,737 CZ,1767,WNZ,6392,CAN,3370,,0,738 733 320 CZ,1767,WNZ,6392,CGO,3375,,0,733 CZ,1767,WNZ,6392,CSX,3371,,0,752 CZ,1767,WNZ,6392,KWL,3372,,0,738 CZ,1767,WNZ,6392,SZX,3374,,0,321 CZ,1767,WNZ,6392,WUH,3376,,0,738 CZ,1767,WNZ,6392,XIY,3379,,0,737 CZ,1767,WUH,3376,BAV,6346,,0,738 CZ,1767,WUH,3376,BKK,3885,,0,73G CZ,1767,WUH,3376,CAN,3370,,0,738 73G CZ,1767,WUH,3376,CGQ,4380,,0,320 CZ,1767,WUH,3376,CKG,3393,,0,73G CZ,1767,WUH,3376,CTU,3395,,0,738 CZ,1767,WUH,3376,DLC,3404,,0,321 CZ,1767,WUH,3376,ENH,6358,,0,738 CZ,1767,WUH,3376,FOC,3385,,0,738 73G CZ,1767,WUH,3376,HAK,4120,,0,320 CZ,1767,WUH,3376,HGH,3386,,0,738 CZ,1767,WUH,3376,HKG,3077,,0,738 CZ,1767,WUH,3376,ICN,3930,,0,738 CZ,1767,WUH,3376,INC,4085,Y,0,737 CZ,1767,WUH,3376,JJN,6386,Y,0,737 CZ,1767,WUH,3376,KHH,2264,,0,738 CZ,1767,WUH,3376,KMG,3382,,0,321 738 CZ,1767,WUH,3376,KWE,3394,,0,73G 738 CZ,1767,WUH,3376,KWL,3372,,0,73G CZ,1767,WUH,3376,LHW,3378,Y,0,737 CZ,1767,WUH,3376,NGB,3387,,0,738 CZ,1767,WUH,3376,NNG,3373,,0,738 CZ,1767,WUH,3376,PEK,3364,,0,738 321 CZ,1767,WUH,3376,PVG,3406,,0,738 320 CZ,1767,WUH,3376,SHA,3391,,0,738 321 733 320 CZ,1767,WUH,3376,SHE,4144,,0,320 CZ,1767,WUH,3376,SWA,4302,,0,738 CZ,1767,WUH,3376,SYX,4030,,0,320 CZ,1767,WUH,3376,SZX,3374,,0,733 738 320 CZ,1767,WUH,3376,TAO,3390,,0,738 73G CZ,1767,WUH,3376,TNA,4108,,0,73G CZ,1767,WUH,3376,TPE,2276,,0,738 CZ,1767,WUH,3376,TSN,3368,,0,738 73G CZ,1767,WUH,3376,TYN,3369,,0,73G CZ,1767,WUH,3376,URC,3399,,0,320 738 73G CZ,1767,WUH,3376,WNZ,6392,,0,738 CZ,1767,WUH,3376,XIY,3379,,0,738 73G CZ,1767,WUH,3376,XMN,3383,,0,73G 738 CZ,1767,WUH,3376,YNZ,6393,,0,73G 738 CZ,1767,WUH,3376,ZUH,6355,,0,738 CZ,1767,WUS,6391,PEK,3364,Y,0,737 CZ,1767,WUX,6390,CAN,3370,,0,321 E90 CZ,1767,WUX,6390,SZX,3374,,0,321 CZ,1767,WXN,6403,XIY,3379,Y,0,737 CZ,1767,WXN,6403,XMN,3383,Y,0,737 CZ,1767,XFN,6360,CAN,3370,,0,738 CZ,1767,XFN,6360,XMN,3383,,0,738 CZ,1767,XIL,6350,HET,6345,,0,319 CZ,1767,XIY,3379,CAN,3370,,0,320 321 73G 319 CZ,1767,XIY,3379,CKG,3393,,0,320 319 CZ,1767,XIY,3379,CSX,3371,,0,320 CZ,1767,XIY,3379,CTU,3395,,0,321 320 CZ,1767,XIY,3379,DLC,3404,,0,320 CZ,1767,XIY,3379,DNH,4308,,0,E90 CZ,1767,XIY,3379,ENY,6367,,0,320 CZ,1767,XIY,3379,FOC,3385,Y,0,737 CZ,1767,XIY,3379,HFE,3389,,0,738 73G CZ,1767,XIY,3379,HGH,3386,,0,321 320 CZ,1767,XIY,3379,HRB,3400,,0,738 320 321 CZ,1767,XIY,3379,INC,4085,,0,320 CZ,1767,XIY,3379,KHN,3384,Y,0,737 CZ,1767,XIY,3379,KMG,3382,,0,320 733 321 CZ,1767,XIY,3379,KWE,3394,,0,320 73G 738 CZ,1767,XIY,3379,KWL,3372,,0,320 73G CZ,1767,XIY,3379,LXA,4097,,0,319 CZ,1767,XIY,3379,NKG,3388,,0,320 CZ,1767,XIY,3379,PEK,3364,,0,321 320 333 CZ,1767,XIY,3379,PVG,3406,,0,320 738 321 CZ,1767,XIY,3379,SHA,3391,,0,320 CZ,1767,XIY,3379,SHE,4144,,0,320 CZ,1767,XIY,3379,SYX,4030,,0,320 CZ,1767,XIY,3379,SZX,3374,,0,320 CZ,1767,XIY,3379,TAO,3390,,0,320 CZ,1767,XIY,3379,TNA,4108,,0,320 752 CZ,1767,XIY,3379,TSN,3368,Y,0,737 CZ,1767,XIY,3379,TYN,3369,,0,320 319 CZ,1767,XIY,3379,URC,3399,,0,738 320 E90 73G 752 CZ,1767,XIY,3379,UYN,6368,,0,319 320 CZ,1767,XIY,3379,WNZ,6392,,0,737 CZ,1767,XIY,3379,WUH,3376,,0,738 73G CZ,1767,XIY,3379,WXN,6403,Y,0,737 CZ,1767,XIY,3379,XMN,3383,Y,0,737 CZ,1767,XIY,3379,XNN,6366,,0,320 CZ,1767,XMN,3383,AMS,580,Y,0,777 CZ,1767,XMN,3383,BKK,3885,,0,738 CZ,1767,XMN,3383,CAN,3370,,0,738 E90 319 73G 320 CZ,1767,XMN,3383,CGK,3275,,0,738 CZ,1767,XMN,3383,CGO,3375,,0,733 319 CZ,1767,XMN,3383,CKG,3393,Y,0,737 CZ,1767,XMN,3383,CSX,3371,,0,320 CZ,1767,XMN,3383,CTU,3395,Y,0,737 CZ,1767,XMN,3383,HAK,4120,,0,733 CZ,1767,XMN,3383,HFE,3389,,0,733 CZ,1767,XMN,3383,HGH,3386,Y,0,737 CZ,1767,XMN,3383,HKG,3077,,0,738 CZ,1767,XMN,3383,HSN,6395,Y,0,737 CZ,1767,XMN,3383,JUH,9843,Y,0,737 CZ,1767,XMN,3383,KHN,3384,Y,0,737 CZ,1767,XMN,3383,KMG,3382,,0,737 CZ,1767,XMN,3383,KUL,3304,Y,0,738 CZ,1767,XMN,3383,KWL,3372,Y,0,737 CZ,1767,XMN,3383,MFM,3121,,0,738 CZ,1767,XMN,3383,MNL,2397,,0,321 CZ,1767,XMN,3383,NGB,3387,Y,0,737 CZ,1767,XMN,3383,NKG,3388,,0,319 CZ,1767,XMN,3383,NNG,3373,Y,0,737 CZ,1767,XMN,3383,PEK,3364,,0,321 CZ,1767,XMN,3383,SHA,3391,Y,0,737 CZ,1767,XMN,3383,SHE,4144,Y,0,737 CZ,1767,XMN,3383,SIN,3316,,0,738 CZ,1767,XMN,3383,SYX,4030,Y,0,737 CZ,1767,XMN,3383,SZX,3374,,0,738 CZ,1767,XMN,3383,TAO,3390,,0,319 CZ,1767,XMN,3383,TNA,4108,Y,0,737 CZ,1767,XMN,3383,TSN,3368,Y,0,737 CZ,1767,XMN,3383,TXN,6387,Y,0,737 CZ,1767,XMN,3383,TYN,3369,Y,0,737 CZ,1767,XMN,3383,WUH,3376,,0,73G 738 CZ,1767,XMN,3383,WXN,6403,Y,0,737 CZ,1767,XMN,3383,XFN,6360,,0,738 CZ,1767,XMN,3383,XIY,3379,Y,0,737 CZ,1767,XMN,3383,YIH,6361,Y,0,737 CZ,1767,XMN,3383,YIW,6394,,0,738 CZ,1767,XMN,3383,YNZ,6393,Y,0,737 CZ,1767,XMN,3383,ZUH,6355,Y,0,737 CZ,1767,XNN,6366,CGO,3375,Y,0,737 CZ,1767,XNN,6366,CKG,3393,Y,0,737 CZ,1767,XNN,6366,CSX,3371,,0,320 CZ,1767,XNN,6366,KWE,3394,,0,738 CZ,1767,XNN,6366,PEK,3364,,0,320 CZ,1767,XNN,6366,URC,3399,,0,320 CZ,1767,XNN,6366,XIY,3379,,0,320 CZ,1767,XUZ,4149,CAN,3370,,0,738 CZ,1767,XUZ,4149,INC,4085,,0,73G CZ,1767,XUZ,4149,LYG,6383,,0,320 CZ,1767,YCU,6430,CKG,3393,,0,733 CZ,1767,YCU,6430,CSX,3371,,0,733 CZ,1767,YCU,6430,HRB,3400,,0,320 CZ,1767,YCU,6430,SYX,4030,,0,320 CZ,1767,YIH,6361,CAN,3370,,0,320 CZ,1767,YIH,6361,CKG,3393,Y,0,737 CZ,1767,YIH,6361,XMN,3383,Y,0,737 CZ,1767,YIN,6409,URC,3399,,0,73G E90 CZ,1767,YIW,6394,CAN,3370,,0,738 E90 319 CZ,1767,YIW,6394,CGO,3375,,0,738 CZ,1767,YIW,6394,HRB,3400,,0,738 CZ,1767,YIW,6394,KMG,3382,,0,738 CZ,1767,YIW,6394,PEK,3364,,0,738 CZ,1767,YIW,6394,SHE,4144,,0,738 CZ,1767,YIW,6394,SWA,4302,,0,738 CZ,1767,YIW,6394,URC,3399,,0,738 CZ,1767,YIW,6394,XMN,3383,,0,738 CZ,1767,YIW,6394,ZUH,6355,,0,738 CZ,1767,YNJ,6414,CGQ,4380,,0,321 320 CZ,1767,YNJ,6414,DLC,3404,,0,319 CZ,1767,YNJ,6414,ICN,3930,,0,321 CZ,1767,YNJ,6414,PEK,3364,,0,320 321 CZ,1767,YNJ,6414,PVG,3406,,0,320 CZ,1767,YNT,3392,CAN,3370,,0,320 CZ,1767,YNT,3392,CSX,3371,,0,320 319 CZ,1767,YNT,3392,CTU,3395,,0,321 CZ,1767,YNT,3392,HRB,3400,,0,320 CZ,1767,YNT,3392,SHE,4144,,0,320 321 319 CZ,1767,YNZ,6393,DLC,3404,,0,73G 738 CZ,1767,YNZ,6393,HRB,3400,Y,0,737 CZ,1767,YNZ,6393,NTG,5475,,0,738 CZ,1767,YNZ,6393,SHE,4144,,0,73G 738 CZ,1767,YNZ,6393,WUH,3376,,0,73G 738 CZ,1767,YNZ,6393,XMN,3383,Y,0,737 CZ,1767,YTY,8876,CAN,3370,,0,738 CZ,1767,YTY,8876,CGO,3375,,0,738 CZ,1767,YTY,8876,CSX,3371,,0,320 CZ,1767,YTY,8876,DLC,3404,,0,320 CZ,1767,YTY,8876,HRB,3400,,0,320 CZ,1767,YTY,8876,SYX,4030,,0,320 CZ,1767,YVR,156,CAN,3370,,0,787 CZ,1767,ZAT,6378,KMG,3382,,0,737 CZ,1767,ZHA,6357,CAN,3370,,0,E90 319 320 CZ,1767,ZHA,6357,SYX,4030,,0,E90 CZ,1767,ZUH,6355,CGO,3375,,0,738 CZ,1767,ZUH,6355,CSX,3371,,0,738 CZ,1767,ZUH,6355,FOC,3385,Y,0,737 CZ,1767,ZUH,6355,HAK,4120,,0,738 CZ,1767,ZUH,6355,HFE,3389,,0,738 CZ,1767,ZUH,6355,HGH,3386,,0,738 320 CZ,1767,ZUH,6355,KHN,3384,,0,738 CZ,1767,ZUH,6355,KMG,3382,,0,738 CZ,1767,ZUH,6355,KWE,3394,,0,738 73G CZ,1767,ZUH,6355,MXZ,6354,,0,E90 CZ,1767,ZUH,6355,PEK,3364,,0,738 CZ,1767,ZUH,6355,PVG,3406,,0,738 CZ,1767,ZUH,6355,SHA,3391,,0,320 321 CZ,1767,ZUH,6355,SWA,4302,,0,738 CZ,1767,ZUH,6355,SYX,4030,,0,738 CZ,1767,ZUH,6355,WUH,3376,,0,738 CZ,1767,ZUH,6355,XMN,3383,Y,0,737 CZ,1767,ZUH,6355,YIW,6394,,0,738 CZ,1767,ZYI,9846,CAN,3370,,0,319 CZ,1767,ZYI,9846,PEK,3364,,0,319 CZ,1767,ZYI,9846,SZX,3374,,0,320 D2,20270,CEE,6111,DME,4029,,0,CR2 D2,20270,CEE,6111,HEL,421,,0,CR2 D2,20270,CEE,6111,KGD,2952,,0,CR2 D2,20270,CEE,6111,LED,2948,,0,CR2 D2,20270,CEE,6111,MMK,2949,,0,CR2 D2,20270,CEE,6111,VKO,2988,,0,CR2 D2,20270,CEE,6111,VUS,8924,,0,CR2 D2,20270,DME,4029,CEE,6111,,0,CR2 D2,20270,DME,4029,KVK,6734,,0,CR2 D2,20270,HEL,421,CEE,6111,,0,CR2 D2,20270,KGD,2952,CEE,6111,,0,CR2 D2,20270,KVK,6734,DME,4029,,0,CR2 D2,20270,LED,2948,CEE,6111,,0,CR2 D2,20270,LED,2948,UCT,4368,,0,CR2 D2,20270,MMK,2949,CEE,6111,,0,CR2 D2,20270,UCT,4368,LED,2948,,0,CR2 D2,20270,VKO,2988,CEE,6111,,0,CR2 D2,20270,VUS,8924,CEE,6111,,0,CR2 D3,1966,DXB,2188,HGA,1121,,0,321 D3,1966,HGA,1121,JIB,4119,,0,321 D3,1966,HGA,1121,MGQ,5687,,0,321 D3,1966,JIB,4119,DXB,2188,,0,321 D3,1966,JIB,4119,MGQ,5687,,0,321 D3,1966,MGQ,5687,JIB,4119,,0,321 D6,2881,JNB,813,NLA,910,,0,732 D6,2881,NLA,910,JNB,813,,0,732 D7,2417,ADL,3341,KUL,3304,,0,330 D7,2417,CMB,3024,KUL,3304,,0,330 D7,2417,CTU,3395,KUL,3304,,0,330 D7,2417,HGH,3386,KUL,3304,,0,330 D7,2417,HND,2359,KUL,3304,,0,330 D7,2417,ICN,3930,KUL,3304,,0,330 D7,2417,JED,2072,KUL,3304,,0,330 D7,2417,KIX,3992,KUL,3304,,0,330 D7,2417,KTM,3125,KUL,3304,,0,330 D7,2417,KUL,3304,ADL,3341,,0,330 D7,2417,KUL,3304,CMB,3024,,0,330 D7,2417,KUL,3304,CTU,3395,,0,330 D7,2417,KUL,3304,HGH,3386,,0,330 D7,2417,KUL,3304,HND,2359,,0,330 D7,2417,KUL,3304,ICN,3930,,0,330 D7,2417,KUL,3304,JED,2072,,0,330 D7,2417,KUL,3304,KIX,3992,,0,330 D7,2417,KUL,3304,KTM,3125,,0,330 D7,2417,KUL,3304,MEL,3339,,0,330 D7,2417,KUL,3304,NGO,3942,,0,330 D7,2417,KUL,3304,OOL,3321,,0,330 D7,2417,KUL,3304,PEK,3364,,0,330 D7,2417,KUL,3304,PER,3351,,0,330 D7,2417,KUL,3304,PUS,2372,,0,330 D7,2417,KUL,3304,PVG,3406,,0,330 D7,2417,KUL,3304,SYD,3361,,0,330 D7,2417,KUL,3304,TPE,2276,,0,330 D7,2417,MEL,3339,KUL,3304,,0,330 D7,2417,NGO,3942,KUL,3304,,0,330 D7,2417,OOL,3321,KUL,3304,,0,330 D7,2417,PEK,3364,KUL,3304,,0,330 D7,2417,PER,3351,KUL,3304,,0,330 D7,2417,PUS,2372,KUL,3304,,0,330 D7,2417,PVG,3406,KUL,3304,,0,330 D7,2417,SYD,3361,KUL,3304,,0,330 D7,2417,TPE,2276,KUL,3304,,0,330 DC,2585,AGH,5597,BMA,738,,0,AT7 DC,2585,BMA,738,AGH,5597,,0,AT7 DC,2585,BMA,738,HAD,709,,0,AT7 DC,2585,BMA,738,KLR,707,Y,0,S20 DC,2585,BMA,738,RNB,685,,0,S20 DC,2585,BMA,738,SDL,721,,0,S20 DC,2585,BMA,738,THN,693,,0,S20 DC,2585,BMA,738,VBY,746,,0,AT7 AR1 DC,2585,BMA,738,VXO,711,,0,S20 DC,2585,GSE,691,VBY,746,,0,AT7 DC,2585,HAD,709,BMA,738,,0,AT7 DC,2585,KLR,707,BMA,738,Y,0,S20 DC,2585,MMX,708,VBY,746,,0,AT7 DC,2585,RNB,685,BMA,738,,0,S20 DC,2585,SDL,721,BMA,738,,0,S20 DC,2585,THN,693,BMA,738,,0,S20 DC,2585,VBY,746,BMA,738,,0,AT7 AR1 DC,2585,VBY,746,GSE,691,,0,AT7 DC,2585,VBY,746,MMX,708,,0,AT7 DC,2585,VXO,711,BMA,738,,0,S20 DD,3674,BFV,4133,DMK,3157,,0,ATR DD,3674,CEI,3932,DMK,3157,,0,738 DD,3674,CJM,4300,DMK,3157,,0,ATR DD,3674,CNX,3931,DMK,3157,,0,738 DD,3674,CNX,3931,UTH,3183,,0,738 DD,3674,DMK,3157,BFV,4133,,0,ATR DD,3674,DMK,3157,CEI,3932,,0,738 DD,3674,DMK,3157,CJM,4300,,0,ATR DD,3674,DMK,3157,CNX,3931,,0,738 DD,3674,DMK,3157,HDY,3181,,0,738 DD,3674,DMK,3157,HKT,3179,,0,738 DD,3674,DMK,3157,KBV,3174,,0,738 DD,3674,DMK,3157,KOP,3936,,0,738 DD,3674,DMK,3157,LOE,3186,,0,ATR DD,3674,DMK,3157,MAQ,6186,,0,ATR DD,3674,DMK,3157,NNT,4131,,0,ATR DD,3674,DMK,3157,NST,3933,,0,738 DD,3674,DMK,3157,PHS,3170,,0,738 DD,3674,DMK,3157,PRH,3164,,0,ATR DD,3674,DMK,3157,RGN,3239,,0,738 DD,3674,DMK,3157,ROI,4132,,0,738 DD,3674,DMK,3157,SNO,3184,,0,738 DD,3674,DMK,3157,TST,3182,,0,738 DD,3674,DMK,3157,UBP,3937,,0,738 DD,3674,DMK,3157,UNN,3180,,0,ATR DD,3674,DMK,3157,URT,4000,,0,738 DD,3674,DMK,3157,UTH,3183,,0,738 DD,3674,HDY,3181,DMK,3157,,0,738 DD,3674,HKT,3179,DMK,3157,,0,738 DD,3674,KBV,3174,DMK,3157,,0,738 DD,3674,KOP,3936,DMK,3157,,0,738 DD,3674,LOE,3186,DMK,3157,,0,ATR DD,3674,MAQ,6186,DMK,3157,,0,ATR DD,3674,NNT,4131,DMK,3157,,0,ATR DD,3674,NST,3933,DMK,3157,,0,738 DD,3674,PHS,3170,DMK,3157,,0,738 DD,3674,PRH,3164,DMK,3157,,0,ATR DD,3674,RGN,3239,DMK,3157,,0,738 DD,3674,ROI,4132,DMK,3157,,0,738 DD,3674,SNO,3184,DMK,3157,,0,738 DD,3674,TST,3182,DMK,3157,,0,738 DD,3674,UBP,3937,DMK,3157,,0,738 DD,3674,UNN,3180,DMK,3157,,0,ATR DD,3674,URT,4000,DMK,3157,,0,738 DD,3674,UTH,3183,CNX,3931,,0,738 DD,3674,UTH,3183,DMK,3157,,0,738 DE,1868,ACE,1055,BHX,469,Y,0,757 DE,1868,ACE,1055,DUS,345,,0,757 32S DE,1868,ACE,1055,FRA,340,,0,757 DE,1868,ACE,1055,FUE,1051,,0,757 DE,1868,ACE,1055,GLA,534,Y,0,757 DE,1868,ACE,1055,HAJ,352,,0,32S DE,1868,ACE,1055,HAM,342,,0,32S DE,1868,ACE,1055,LEJ,348,,0,32S DE,1868,ACE,1055,LGW,502,Y,0,757 DE,1868,ACE,1055,MAN,478,Y,0,330 320 DE,1868,ACE,1055,MUC,346,,0,32S DE,1868,ACE,1055,PAD,371,,0,32S DE,1868,ACE,1055,STR,350,,0,32S DE,1868,ACE,1055,SXF,337,,0,32S DE,1868,AGA,1064,DUS,345,,0,32S DE,1868,AGA,1064,FRA,340,,0,32S DE,1868,AGA,1064,LEJ,348,,0,32S DE,1868,AGA,1064,MUC,346,,0,32S DE,1868,ANU,2874,FRA,340,,0,767 DE,1868,AYT,1688,CGN,344,,0,757 DE,1868,AYT,1688,DUS,345,,0,757 DE,1868,AYT,1688,FRA,340,,0,757 DE,1868,AYT,1688,HAJ,352,,0,32S 321 DE,1868,AYT,1688,HAM,342,,0,757 DE,1868,AYT,1688,LEJ,348,,0,757 DE,1868,AYT,1688,MUC,346,,0,757 DE,1868,AYT,1688,PAD,371,,0,32S 321 DE,1868,AYT,1688,STR,350,,0,757 DE,1868,AYT,1688,SXF,337,,0,757 DE,1868,BGI,2875,FRA,340,,0,767 DE,1868,BGI,2875,MAN,478,Y,0,330 DE,1868,BHX,469,ACE,1055,Y,0,757 DE,1868,CFU,1460,FRA,340,,0,738 DE,1868,CFU,1460,HAM,342,,0,32S DE,1868,CGN,344,AYT,1688,,0,757 DE,1868,CGN,344,PMI,3998,,0,757 DE,1868,CHQ,1474,DUS,345,,0,32S DE,1868,CUN,1852,FRA,340,,0,767 DE,1868,CUN,1852,LGW,502,Y,0,330 DE,1868,CUN,1852,MAN,478,Y,0,330 DE,1868,DJE,293,DUS,345,,0,757 DE,1868,DJE,293,FRA,340,,0,757 DE,1868,DJE,293,LEJ,348,,0,32S DE,1868,DJE,293,MUC,346,,0,757 DE,1868,DLM,1715,DUS,345,,0,757 DE,1868,DLM,1715,FRA,340,,0,757 DE,1868,DLM,1715,HAJ,352,,0,321 DE,1868,DLM,1715,HAM,342,,0,32S DE,1868,DLM,1715,MUC,346,,0,757 DE,1868,DLM,1715,STR,350,,0,32S DE,1868,DLM,1715,SXF,337,,0,32S DE,1868,DUS,345,ACE,1055,,0,757 32S DE,1868,DUS,345,AGA,1064,,0,32S DE,1868,DUS,345,AYT,1688,,0,757 DE,1868,DUS,345,CFU,1460,,0,32S DE,1868,DUS,345,CHQ,1474,,0,32S DE,1868,DUS,345,DJE,293,,0,757 DE,1868,DUS,345,DLM,1715,,0,757 DE,1868,DUS,345,FNC,4091,,0,32S DE,1868,DUS,345,FUE,1051,,0,757 DE,1868,DUS,345,HER,1452,,0,738 757 DE,1868,DUS,345,HRG,1130,,0,757 DE,1868,DUS,345,IBZ,1225,,0,32S 757 DE,1868,DUS,345,KGS,1458,,0,738 32S DE,1868,DUS,345,LCA,1197,,0,757 DE,1868,DUS,345,LPA,1054,,0,757 DE,1868,DUS,345,PMI,3998,,0,757 DE,1868,DUS,345,RHO,1472,,0,32S DE,1868,DUS,345,TFS,1056,,0,757 DE,1868,DUS,345,XRY,1226,,0,32S 757 DE,1868,FNC,4091,DUS,345,,0,32S DE,1868,FNC,4091,FRA,340,,0,757 DE,1868,FNC,4091,HAM,342,,0,32S DE,1868,FNC,4091,LEJ,348,,0,321 DE,1868,FNC,4091,MUC,346,,0,32S DE,1868,FNC,4091,STR,350,,0,32S DE,1868,FRA,340,ACE,1055,,0,757 DE,1868,FRA,340,AGA,1064,,0,32S DE,1868,FRA,340,AYT,1688,,0,757 DE,1868,FRA,340,CFU,1460,,0,738 DE,1868,FRA,340,CHQ,1474,,0,757 DE,1868,FRA,340,CUN,1852,,0,767 DE,1868,FRA,340,DBV,1200,,0,32S DE,1868,FRA,340,DJE,293,,0,757 DE,1868,FRA,340,DLM,1715,,0,757 DE,1868,FRA,340,FNC,4091,,0,757 DE,1868,FRA,340,FUE,1051,,0,757 DE,1868,FRA,340,HAV,1909,,0,767 DE,1868,FRA,340,HER,1452,,0,738 757 DE,1868,FRA,340,HOG,1910,,0,767 DE,1868,FRA,340,HRG,1130,,0,757 DE,1868,FRA,340,IBZ,1225,,0,757 32S DE,1868,FRA,340,KGS,1458,,0,738 32S DE,1868,FRA,340,LAS,3877,,0,767 DE,1868,FRA,340,LPA,1054,,0,757 DE,1868,FRA,340,MBA,1145,,0,767 DE,1868,FRA,340,MBJ,1780,,0,767 DE,1868,FRA,340,MLE,3156,,0,767 DE,1868,FRA,340,MRU,893,,0,767 DE,1868,FRA,340,NBO,4059,,0,767 DE,1868,FRA,340,PMI,3998,,0,757 DE,1868,FRA,340,POP,1761,,0,767 DE,1868,FRA,340,PUJ,1760,,0,767 DE,1868,FRA,340,REC,2610,,0,767 DE,1868,FRA,340,RHO,1472,,0,32S 738 DE,1868,FRA,340,SDQ,1762,,0,767 DE,1868,FRA,340,SEA,3577,,0,767 DE,1868,FRA,340,SEZ,994,,0,767 DE,1868,FRA,340,SJU,2890,,0,767 DE,1868,FRA,340,SPC,1053,,0,738 DE,1868,FRA,340,SPU,1206,,0,32S DE,1868,FRA,340,SSA,2621,,0,767 DE,1868,FRA,340,TAB,2901,,0,767 DE,1868,FRA,340,TFS,1056,,0,757 738 DE,1868,FRA,340,VRA,1923,,0,767 DE,1868,FRA,340,XRY,1226,,0,767 738 757 DE,1868,FRA,340,YHZ,73,,0,767 DE,1868,FRA,340,YVR,156,,0,767 DE,1868,FUE,1051,DUS,345,,0,757 DE,1868,FUE,1051,FRA,340,,0,757 DE,1868,FUE,1051,HAJ,352,,0,32S DE,1868,FUE,1051,HAM,342,,0,757 32S DE,1868,FUE,1051,LEJ,348,,0,321 DE,1868,FUE,1051,MAN,478,,0,757 DE,1868,FUE,1051,MUC,346,,0,757 32S DE,1868,FUE,1051,PAD,371,,0,32S DE,1868,FUE,1051,STR,350,,0,32S DE,1868,FUE,1051,SXF,337,,0,321 DE,1868,GLA,534,ACE,1055,Y,0,757 DE,1868,GLA,534,CUN,1852,Y,0,330 DE,1868,GLA,534,MCO,3878,Y,0,330 DE,1868,HAJ,352,ACE,1055,,0,32S DE,1868,HAJ,352,AYT,1688,,0,32S 321 DE,1868,HAJ,352,DLM,1715,,0,321 DE,1868,HAJ,352,FUE,1051,,0,32S DE,1868,HAJ,352,HER,1452,,0,32S DE,1868,HAJ,352,KGS,1458,,0,32S DE,1868,HAJ,352,LCA,1197,,0,32S DE,1868,HAJ,352,PMI,3998,,0,321 32S DE,1868,HAJ,352,RHO,1472,,0,32S DE,1868,HAM,342,ACE,1055,,0,32S DE,1868,HAM,342,AYT,1688,,0,757 DE,1868,HAM,342,CFU,1460,,0,32S DE,1868,HAM,342,DLM,1715,,0,32S DE,1868,HAM,342,FNC,4091,,0,32S DE,1868,HAM,342,FUE,1051,,0,757 32S DE,1868,HAM,342,HER,1452,,0,32S DE,1868,HAM,342,HRG,1130,,0,757 DE,1868,HAM,342,KGS,1458,,0,32S DE,1868,HAM,342,LPA,1054,,0,757 DE,1868,HAM,342,PMI,3998,,0,757 DE,1868,HAM,342,RHO,1472,,0,32S DE,1868,HAM,342,TFS,1056,,0,32S 757 DE,1868,HAM,342,XRY,1226,,0,32S DE,1868,HAV,1909,FRA,340,,0,767 DE,1868,HER,1452,DUS,345,,0,757 DE,1868,HER,1452,FRA,340,,0,738 757 DE,1868,HER,1452,HAJ,352,,0,32S DE,1868,HER,1452,HAM,342,,0,32S DE,1868,HER,1452,LEJ,348,,0,32S DE,1868,HER,1452,MUC,346,,0,32S DE,1868,HER,1452,STR,350,,0,32S DE,1868,HER,1452,SXF,337,,0,32S DE,1868,HOG,1910,FRA,340,,0,767 DE,1868,HOG,1910,MBJ,1780,,0,767 DE,1868,HRG,1130,DUS,345,,0,757 DE,1868,HRG,1130,FRA,340,,0,757 DE,1868,HRG,1130,HAM,342,,0,757 DE,1868,HRG,1130,MUC,346,,0,757 DE,1868,IBZ,1225,DUS,345,,0,32S 757 DE,1868,IBZ,1225,FRA,340,,0,757 32S DE,1868,IBZ,1225,MAN,478,,0,757 DE,1868,IBZ,1225,MUC,346,,0,32S DE,1868,KGS,1458,DUS,345,,0,738 32S DE,1868,KGS,1458,FRA,340,,0,738 32S DE,1868,KGS,1458,HAJ,352,,0,32S DE,1868,KGS,1458,HAM,342,,0,32S DE,1868,KGS,1458,MUC,346,,0,32S DE,1868,KGS,1458,STR,350,,0,32S DE,1868,KGS,1458,SXF,337,,0,32S DE,1868,LAS,3877,FRA,340,,0,767 DE,1868,LAS,3877,MAN,478,Y,0,330 DE,1868,LCA,1197,DUS,345,,0,757 DE,1868,LCA,1197,HAJ,352,,0,32S DE,1868,LCA,1197,SXF,337,,0,32S DE,1868,LEJ,348,ACE,1055,,0,32S DE,1868,LEJ,348,AGA,1064,,0,32S DE,1868,LEJ,348,AYT,1688,,0,757 DE,1868,LEJ,348,CFU,1460,,0,32S DE,1868,LEJ,348,DJE,293,,0,32S DE,1868,LEJ,348,FNC,4091,,0,321 DE,1868,LEJ,348,FUE,1051,,0,321 DE,1868,LEJ,348,HER,1452,,0,32S DE,1868,LEJ,348,LPA,1054,,0,321 DE,1868,LEJ,348,PMI,3998,,0,321 DE,1868,LEJ,348,RHO,1472,,0,32S DE,1868,LEJ,348,TFS,1056,,0,321 DE,1868,LGW,502,ACE,1055,Y,0,757 DE,1868,LGW,502,CUN,1852,Y,0,330 DE,1868,LPA,1054,DUS,345,,0,757 DE,1868,LPA,1054,FRA,340,,0,757 DE,1868,LPA,1054,HAM,342,,0,757 DE,1868,LPA,1054,LEJ,348,,0,321 DE,1868,LPA,1054,MUC,346,,0,757 DE,1868,LPA,1054,PAD,371,,0,32S DE,1868,LPA,1054,STR,350,,0,32S DE,1868,LPA,1054,SXF,337,,0,321 DE,1868,MAN,478,ACE,1055,Y,0,330 320 DE,1868,MAN,478,CUN,1852,Y,0,330 DE,1868,MAN,478,FUE,1051,,0,757 DE,1868,MAN,478,IBZ,1225,,0,757 DE,1868,MAN,478,LAS,3877,Y,0,330 DE,1868,MAN,478,MBJ,1780,Y,0,330 DE,1868,MAN,478,MCO,3878,Y,0,330 DE,1868,MAN,478,PMI,3998,,0,757 DE,1868,MAN,478,TFS,1056,,0,757 DE,1868,MAN,478,UVF,2894,Y,0,330 DE,1868,MAN,478,ZTH,1488,,0,757 DE,1868,MBA,1145,FRA,340,,0,767 DE,1868,MBA,1145,ZNZ,1186,,0,767 DE,1868,MBJ,1780,FRA,340,,0,767 DE,1868,MCO,3878,GLA,534,Y,0,330 DE,1868,MCO,3878,MAN,478,Y,0,330 DE,1868,MLE,3156,FRA,340,,0,767 DE,1868,MRU,893,FRA,340,,0,767 DE,1868,MUC,346,ACE,1055,,0,757 32S DE,1868,MUC,346,AGA,1064,,0,32S DE,1868,MUC,346,AYT,1688,,0,757 DE,1868,MUC,346,CFU,1460,,0,32S DE,1868,MUC,346,CHQ,1474,,0,32S DE,1868,MUC,346,DJE,293,,0,757 DE,1868,MUC,346,DLM,1715,,0,757 DE,1868,MUC,346,FNC,4091,,0,32S DE,1868,MUC,346,FUE,1051,,0,32S DE,1868,MUC,346,HER,1452,,0,32S DE,1868,MUC,346,HRG,1130,,0,757 DE,1868,MUC,346,IBZ,1225,,0,32S DE,1868,MUC,346,KGS,1458,,0,32S DE,1868,MUC,346,LPA,1054,,0,757 DE,1868,MUC,346,PMI,3998,,0,32S 757 DE,1868,MUC,346,PUJ,1760,,0,767 DE,1868,MUC,346,RHO,1472,,0,32S DE,1868,MUC,346,SPC,1053,,0,32S DE,1868,MUC,346,TFS,1056,,0,32S 757 DE,1868,MUC,346,XRY,1226,,0,32S DE,1868,NBO,4059,MBA,1145,,0,767 DE,1868,PAD,371,ACE,1055,,0,32S DE,1868,PAD,371,AYT,1688,,0,32S 321 DE,1868,PAD,371,FUE,1051,,0,32S DE,1868,PAD,371,LPA,1054,,0,32S DE,1868,PAD,371,PMI,3998,,0,32S DE,1868,PAD,371,TFS,1056,,0,32S DE,1868,PMI,3998,CGN,344,,0,757 DE,1868,PMI,3998,DUS,345,,0,757 DE,1868,PMI,3998,FRA,340,,0,757 DE,1868,PMI,3998,HAJ,352,,0,321 32S DE,1868,PMI,3998,HAM,342,,0,757 DE,1868,PMI,3998,LEJ,348,,0,321 DE,1868,PMI,3998,MAN,478,,0,757 DE,1868,PMI,3998,MUC,346,,0,32S 757 DE,1868,PMI,3998,PAD,371,,0,32S DE,1868,PMI,3998,STR,350,,0,32S DE,1868,PMI,3998,SXF,337,,0,321 DE,1868,POP,1761,ANU,2874,,0,767 DE,1868,POP,1761,FRA,340,,0,767 DE,1868,PTY,1871,SDQ,1762,,0,767 DE,1868,PUJ,1760,FRA,340,,0,767 DE,1868,PUJ,1760,MUC,346,,0,767 DE,1868,REC,2610,FRA,340,,0,767 DE,1868,RHO,1472,DUS,345,,0,32S DE,1868,RHO,1472,FRA,340,,0,32S 738 DE,1868,RHO,1472,HAJ,352,,0,32S DE,1868,RHO,1472,HAM,342,,0,32S DE,1868,RHO,1472,LEJ,348,,0,32S DE,1868,RHO,1472,MUC,346,,0,32S DE,1868,RHO,1472,STR,350,,0,32S DE,1868,RHO,1472,SXF,337,,0,32S DE,1868,SDQ,1762,FRA,340,,0,767 DE,1868,SDQ,1762,PTY,1871,,0,767 DE,1868,SDQ,1762,SJO,1885,,0,767 DE,1868,SEA,3577,FRA,340,,0,767 DE,1868,SEZ,994,FRA,340,,0,767 DE,1868,SJO,1885,SDQ,1762,,0,767 DE,1868,SJU,2890,FRA,340,,0,767 DE,1868,SPC,1053,FRA,340,,0,738 DE,1868,SPC,1053,MUC,346,,0,32S DE,1868,SPU,1206,FRA,340,,0,32S DE,1868,SSA,2621,FRA,340,,0,767 DE,1868,STR,350,ACE,1055,,0,32S DE,1868,STR,350,AYT,1688,,0,757 DE,1868,STR,350,DLM,1715,,0,32S DE,1868,STR,350,FNC,4091,,0,32S DE,1868,STR,350,FUE,1051,,0,32S DE,1868,STR,350,HER,1452,,0,32S DE,1868,STR,350,KGS,1458,,0,32S DE,1868,STR,350,LPA,1054,,0,32S DE,1868,STR,350,PMI,3998,,0,32S DE,1868,STR,350,RHO,1472,,0,32S DE,1868,STR,350,TFS,1056,,0,32S DE,1868,STR,350,XRY,1226,,0,32S DE,1868,SXF,337,ACE,1055,,0,32S DE,1868,SXF,337,AYT,1688,,0,757 DE,1868,SXF,337,CFU,1460,,0,738 DE,1868,SXF,337,DLM,1715,,0,32S DE,1868,SXF,337,FUE,1051,,0,321 DE,1868,SXF,337,HER,1452,,0,32S DE,1868,SXF,337,KGS,1458,,0,32S DE,1868,SXF,337,LCA,1197,,0,32S DE,1868,SXF,337,LPA,1054,,0,321 DE,1868,SXF,337,PMI,3998,,0,321 DE,1868,SXF,337,RHO,1472,,0,32S DE,1868,SXF,337,TFS,1056,,0,321 DE,1868,SXF,337,XRY,1226,,0,32S DE,1868,TAB,2901,BGI,2875,,0,767 DE,1868,TFS,1056,DUS,345,,0,757 DE,1868,TFS,1056,FRA,340,,0,757 738 DE,1868,TFS,1056,HAM,342,,0,32S 757 DE,1868,TFS,1056,LEJ,348,,0,321 DE,1868,TFS,1056,MUC,346,,0,32S 757 DE,1868,TFS,1056,PAD,371,,0,32S DE,1868,TFS,1056,STR,350,,0,32S DE,1868,TFS,1056,SXF,337,,0,321 DE,1868,UVF,2894,BGI,2875,Y,0,330 DE,1868,VRA,1923,FRA,340,,0,767 DE,1868,XRY,1226,DUS,345,,0,32S 757 DE,1868,XRY,1226,FRA,340,,0,767 738 757 DE,1868,XRY,1226,HAM,342,,0,32S DE,1868,XRY,1226,MUC,346,,0,32S DE,1868,XRY,1226,STR,350,,0,32S DE,1868,XRY,1226,SXF,337,,0,32S DE,1868,YHZ,73,FRA,340,,0,767 DE,1868,YVR,156,FRA,340,,0,767 DE,1868,ZNZ,1186,FRA,340,,0,767 DE,1868,ZTH,1488,MAN,478,,0,757 DG,4475,BCD,2423,MNL,2397,,0,320 DG,4475,BKK,3885,CRK,4140,,0,320 DG,4475,CEB,4206,MNL,2397,,0,320 DG,4475,CRK,4140,BKK,3885,,0,320 DG,4475,CRK,4140,HKG,3077,,0,320 DG,4475,CRK,4140,KLO,2430,,0,320 DG,4475,CRK,4140,SIN,3316,,0,320 DG,4475,HKG,3077,CRK,4140,,0,320 DG,4475,ILO,2429,MNL,2397,,0,320 DG,4475,KLO,2430,CRK,4140,,0,320 DG,4475,KLO,2430,MNL,2397,,0,320 DG,4475,KLO,2430,SIN,3316,,0,320 DG,4475,MNL,2397,BCD,2423,,0,320 DG,4475,MNL,2397,CEB,4206,,0,320 DG,4475,MNL,2397,ILO,2429,,0,320 DG,4475,MNL,2397,KLO,2430,,0,320 DG,4475,MNL,2397,PPS,2433,,0,320 DG,4475,MNL,2397,TAC,2422,,0,320 DG,4475,PPS,2433,MNL,2397,,0,320 DG,4475,SIN,3316,CRK,4140,,0,320 DG,4475,SIN,3316,KLO,2430,,0,320 DG,4475,TAC,2422,MNL,2397,,0,320 DH,10128,BKO,1044,CKY,4162,,0,AT7 DH,10128,BKO,1044,COO,245,,0,AT7 DH,10128,BKO,1044,LOS,273,,0,AT7 DH,10128,CKY,4162,BKO,1044,,0,AT7 DH,10128,CKY,4162,DKR,1084,,0,AT7 DH,10128,COO,245,BKO,1044,,0,AT7 DH,10128,COO,245,LBV,970,,0,AT7 DH,10128,DKR,1084,CKY,4162,,0,AT7 DH,10128,LBV,970,COO,245,,0,AT7 DH,10128,LBV,970,LOS,273,,0,AT7 DH,10128,LOS,273,BKO,1044,,0,AT7 DH,10128,LOS,273,SSG,891,,0,AT7 DH,10128,SSG,891,LBV,970,,0,AT7 DL,2009,ABE,4355,ATL,3682,,0,717 DL,2009,ABE,4355,DTW,3645,Y,0,CRJ DL,2009,ABQ,4019,ATL,3682,,0,757 320 DL,2009,ABQ,4019,MSP,3858,,0,320 DL,2009,ABQ,4019,SLC,3536,Y,0,CR9 CR7 DL,2009,ABR,5714,MSP,3858,Y,0,CRJ DL,2009,ABV,260,CDG,1382,Y,0,332 DL,2009,ABV,260,PHC,275,Y,0,332 DL,2009,ABY,5715,ATL,3682,Y,0,CRJ DL,2009,ACC,248,JFK,3797,,0,76W DL,2009,ACC,248,ROB,1063,,0,76W DL,2009,AEX,3852,ATL,3682,Y,0,CR9 CRJ DL,2009,AGS,3658,ATL,3682,,0,M88 717 DL,2009,ALB,3864,ATL,3682,,0,M88 DL,2009,ALB,3864,DTW,3645,Y,0,CRJ CR9 DL,2009,ALB,3864,MSP,3858,Y,0,CR9 DL,2009,AMS,580,ATL,3682,,0,333 76W DL,2009,AMS,580,AUH,2179,Y,0,332 DL,2009,AMS,580,BOM,2997,,0,76W DL,2009,AMS,580,BOS,3448,,0,333 DL,2009,AMS,580,DFW,3670,Y,0,332 DL,2009,AMS,580,DMM,2064,Y,0,332 DL,2009,AMS,580,DOH,11051,Y,0,332 DL,2009,AMS,580,DTW,3645,,0,777 333 76W 332 DL,2009,AMS,580,EWR,3494,,0,76W DL,2009,AMS,580,HRE,1005,Y,0,332 DL,2009,AMS,580,IAD,3714,Y,0,333 332 DL,2009,AMS,580,IAH,3550,Y,0,74M DL,2009,AMS,580,JFK,3797,,0,76W DL,2009,AMS,580,JRO,1180,Y,0,332 330 DL,2009,AMS,580,KGL,1165,Y,0,332 330 DL,2009,AMS,580,KWI,2176,Y,0,332 330 DL,2009,AMS,580,LAX,3484,Y,0,74M 747 DL,2009,AMS,580,MSP,3858,,0,333 332 76W DL,2009,AMS,580,ORD,3830,Y,0,74M DL,2009,AMS,580,PDX,3720,,0,333 DL,2009,AMS,580,SEA,3577,,0,333 DL,2009,AMS,580,SFO,3469,Y,0,747 DL,2009,AMS,580,YUL,146,Y,0,M11 DL,2009,AMS,580,YVR,156,Y,0,333 DL,2009,AMS,580,YYC,178,Y,0,332 DL,2009,AMS,580,YYZ,193,Y,0,M11 333 747 74M 332 DL,2009,ANC,3774,MSP,3858,,0,738 757 DL,2009,ANC,3774,SEA,3577,Y,0,73J DL,2009,ANC,3774,SLC,3536,,0,738 DL,2009,APN,5720,DTW,3645,Y,0,CRJ DL,2009,APN,5720,MSP,3858,Y,0,CRJ DL,2009,ATL,3682,ABE,4355,,0,717 DL,2009,ATL,3682,ABQ,4019,,0,757 320 DL,2009,ATL,3682,ABY,5715,Y,0,CRJ DL,2009,ATL,3682,AEX,3852,Y,0,CRJ CR9 DL,2009,ATL,3682,AGS,3658,,0,717 M88 DL,2009,ATL,3682,ALB,3864,,0,M88 DL,2009,ATL,3682,AMS,580,,0,333 76W DL,2009,ATL,3682,ATW,4047,Y,0,CR7 CR9 DL,2009,ATL,3682,AUA,2895,,0,738 757 DL,2009,ATL,3682,AUS,3673,,0,M90 M88 DL,2009,ATL,3682,AVL,4007,,0,M88 DL,2009,ATL,3682,AVP,4286,Y,0,CR7 DL,2009,ATL,3682,AZO,4039,Y,0,CRJ DL,2009,ATL,3682,BDA,4069,,0,319 DL,2009,ATL,3682,BDL,3825,,0,M88 73W 320 DL,2009,ATL,3682,BHM,3811,,0,M88 320 DL,2009,ATL,3682,BJX,1815,Y,0,CR9 DL,2009,ATL,3682,BMI,4037,Y,0,CR9 CR7 DL,2009,ATL,3682,BNA,3690,,0,M88 738 319 320 73H 717 DL,2009,ATL,3682,BOG,2709,,0,73W DL,2009,ATL,3682,BON,2896,,0,757 DL,2009,ATL,3682,BOS,3448,,0,M90 757 320 738 M88 319 DL,2009,ATL,3682,BQK,5725,Y,0,CRJ DL,2009,ATL,3682,BRU,302,,0,76W DL,2009,ATL,3682,BSB,2531,,0,752 DL,2009,ATL,3682,BTR,3846,,0,319 DL,2009,ATL,3682,BTV,3711,Y,0,CR9 DL,2009,ATL,3682,BUF,3820,,0,M90 M88 DL,2009,ATL,3682,BWI,3849,,0,M88 M90 757 320 73W DL,2009,ATL,3682,BZE,1957,,0,319 M88 DL,2009,ATL,3682,CAE,3561,,0,717 M88 319 DL,2009,ATL,3682,CAK,4112,,0,M88 DL,2009,ATL,3682,CCS,2851,,0,757 DL,2009,ATL,3682,CDG,1382,,0,76W DL,2009,ATL,3682,CHA,3578,,0,M88 DL,2009,ATL,3682,CHO,4015,Y,0,CRJ DL,2009,ATL,3682,CHS,3806,,0,319 320 M88 73W 717 DL,2009,ATL,3682,CID,4043,Y,0,CR9 CRJ 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DL,2009,BIL,4021,SLC,3536,Y,0,CR7 CRJ CR9 DL,2009,BIS,4083,MSP,3858,Y,0,CR9 E75 CRJ E70 DL,2009,BJI,4287,MSP,3858,Y,0,CRJ DL,2009,BJX,1815,ATL,3682,Y,0,CR9 DL,2009,BJX,1815,LAX,3484,Y,0,CR9 DL,2009,BKK,3885,NRT,2279,,0,744 333 DL,2009,BMI,4037,ATL,3682,Y,0,CR9 CR7 DL,2009,BMI,4037,DTW,3645,Y,0,CRJ DL,2009,BMI,4037,MSP,3858,Y,0,CRJ DL,2009,BNA,3690,ATL,3682,,0,M88 738 319 320 717 DL,2009,BNA,3690,CVG,3488,Y,0,CRJ DL,2009,BNA,3690,DTW,3645,,0,738 320 DL,2009,BNA,3690,JFK,3797,Y,0,CR9 DL,2009,BNA,3690,LAX,3484,,0,738 73H DL,2009,BNA,3690,LGA,3697,Y,0,CR9 CR7 DL,2009,BNA,3690,MCO,3878,Y,0,CR9 DL,2009,BNA,3690,MSP,3858,Y,0,CR9 CRJ DL,2009,BNA,3690,SLC,3536,Y,0,CR9 DL,2009,BNE,3320,LAX,3484,Y,0,77W DL,2009,BOG,2709,ATL,3682,,0,73W DL,2009,BOG,2709,JFK,3797,,0,73W DL,2009,BOI,3495,MSP,3858,,0,738 320 DL,2009,BOI,3495,SLC,3536,,0,320 73H 319 738 DL,2009,BOM,2997,AMS,580,,0,76W DL,2009,BON,2896,ATL,3682,,0,757 DL,2009,BOS,3448,AMS,580,,0,333 DL,2009,BOS,3448,ATL,3682,,0,M90 757 M88 320 319 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DL,2009,DCA,3520,CVG,3488,Y,0,CR9 DL,2009,DCA,3520,DTW,3645,,0,319 738 M88 DL,2009,DCA,3520,JFK,3797,Y,0,CR9 DL,2009,DCA,3520,LAX,3484,Y,0,73H DL,2009,DCA,3520,LEX,4017,Y,0,CRJ DL,2009,DCA,3520,LGA,3697,Y,0,E70 E75 DL,2009,DCA,3520,MEM,3473,Y,0,E70 DL,2009,DCA,3520,MSN,3459,Y,0,E70 DL,2009,DCA,3520,MSP,3858,,0,M90 M88 319 738 320 DL,2009,DCA,3520,OMA,3454,Y,0,E70 DL,2009,DCA,3520,SLC,3536,,0,757 DL,2009,DEN,3751,ATL,3682,,0,757 M90 738 DL,2009,DEN,3751,CVG,3488,Y,0,CR9 DL,2009,DEN,3751,DTW,3645,,0,M90 320 DL,2009,DEN,3751,JFK,3797,,0,73H DL,2009,DEN,3751,LGA,3697,,0,320 DL,2009,DEN,3751,MEM,3473,Y,0,CR9 DL,2009,DEN,3751,MSP,3858,,0,M90 320 738 757 DL,2009,DEN,3751,SLC,3536,,0,320 DL,2009,DFW,3670,AMS,580,Y,0,332 DL,2009,DFW,3670,ATL,3682,,0,M88 319 DL,2009,DFW,3670,CVG,3488,Y,0,CR9 DL,2009,DFW,3670,DTW,3645,,0,319 E75 M88 320 DL,2009,DFW,3670,ICN,3930,Y,0,772 DL,2009,DFW,3670,JFK,3797,Y,0,CR9 DL,2009,DFW,3670,LGA,3697,,0,E75 DL,2009,DFW,3670,MEM,3473,Y,0,CRJ 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DL,2009,DTW,3645,BGM,4129,Y,0,CRJ DL,2009,DTW,3645,BGR,3463,Y,0,CR7 DL,2009,DTW,3645,BHM,3811,Y,0,CRJ DL,2009,DTW,3645,BMI,4037,Y,0,CRJ DL,2009,DTW,3645,BNA,3690,,0,320 738 M88 DL,2009,DTW,3645,BOS,3448,,0,73H 738 320 757 M90 319 DL,2009,DTW,3645,BTV,3711,Y,0,CRJ DL,2009,DTW,3645,BUF,3820,,0,M88 319 320 M90 ERJ DL,2009,DTW,3645,BWI,3849,,0,M88 320 ERJ DL,2009,DTW,3645,CAE,3561,Y,0,CRJ DL,2009,DTW,3645,CAK,4112,Y,0,CRJ DL,2009,DTW,3645,CDG,1382,,0,76W 343 764 333 DL,2009,DTW,3645,CHA,3578,Y,0,CRJ DL,2009,DTW,3645,CHS,3806,Y,0,CRJ ERJ CR9 CR7 DL,2009,DTW,3645,CID,4043,Y,0,CRJ DL,2009,DTW,3645,CIU,5729,Y,0,CRJ DL,2009,DTW,3645,CLE,3486,Y,0,CRJ CR7 ERJ DL,2009,DTW,3645,CLT,3876,,0,320 M88 M90 DL,2009,DTW,3645,CMH,3759,,0,ERJ DL,2009,DTW,3645,CRW,4285,Y,0,CRJ DL,2009,DTW,3645,CUN,1852,,0,320 DL,2009,DTW,3645,CVG,3488,,0,ERJ DL,2009,DTW,3645,CWA,4045,Y,0,CRJ DL,2009,DTW,3645,DAY,3627,,0,ERJ DL,2009,DTW,3645,DCA,3520,,0,738 M88 319 M90 DL,2009,DTW,3645,DEN,3751,,0,320 M90 738 757 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DL,2009,DTW,3645,OMA,3454,,0,319 DL,2009,DTW,3645,ORD,3830,,0,717 M90 DL,2009,DTW,3645,ORF,3611,,0,ERJ DL,2009,DTW,3645,PBI,3722,,0,M90 320 DL,2009,DTW,3645,PDX,3720,,0,739 DL,2009,DTW,3645,PEK,3364,,0,777 DL,2009,DTW,3645,PHL,3752,,0,M88 319 73H ERJ M90 320 DL,2009,DTW,3645,PHX,3462,,0,757 320 753 DL,2009,DTW,3645,PIA,4046,Y,0,CRJ DL,2009,DTW,3645,PIT,3570,,0,CR7 M88 320 ERJ DL,2009,DTW,3645,PLN,5762,Y,0,CRJ DL,2009,DTW,3645,PUJ,1760,,0,320 DL,2009,DTW,3645,PVD,3641,,0,319 DL,2009,DTW,3645,PVG,3406,,0,77L 777 DL,2009,DTW,3645,PWM,3862,Y,0,CRJ CR9 DL,2009,DTW,3645,RDU,3626,,0,319 73H 738 DL,2009,DTW,3645,RIC,3608,,0,ERJ DL,2009,DTW,3645,ROA,4016,Y,0,CRJ DL,2009,DTW,3645,ROC,3622,Y,0,CRJ CR7 DL,2009,DTW,3645,RSW,3793,,0,757 753 DL,2009,DTW,3645,SAN,3731,,0,753 739 757 DL,2009,DTW,3645,SAT,3621,,0,320 DL,2009,DTW,3645,SAV,3613,Y,0,CR7 DL,2009,DTW,3645,SBN,4359,Y,0,CRJ DL,2009,DTW,3645,SCE,4318,Y,0,CRJ DL,2009,DTW,3645,SDF,4014,,0,ERJ DL,2009,DTW,3645,SEA,3577,,0,753 757 739 DL,2009,DTW,3645,SFO,3469,,0,739 763 738 DL,2009,DTW,3645,SJU,2890,,0,320 DL,2009,DTW,3645,SLC,3536,,0,320 73H 319 738 DL,2009,DTW,3645,STL,3678,,0,320 717 DL,2009,DTW,3645,SWF,3661,Y,0,CRJ DL,2009,DTW,3645,SYR,3745,,0,ERJ DL,2009,DTW,3645,TPA,3646,,0,M88 738 757 M90 DL,2009,DTW,3645,TUL,3855,Y,0,CR7 DL,2009,DTW,3645,TVC,4023,,0,717 ERJ DL,2009,DTW,3645,TYS,3676,Y,0,CRJ DL,2009,DTW,3645,XNA,4356,Y,0,CR7 DL,2009,DTW,3645,YOW,100,Y,0,CRJ DL,2009,DTW,3645,YUL,146,Y,0,CRJ ERJ DL,2009,DTW,3645,YYZ,193,Y,0,CR7 CRJ DL,2009,DUB,599,ATL,3682,,0,76W DL,2009,DUB,599,JFK,3797,,0,752 DL,2009,DUS,345,ATL,3682,,0,76W DL,2009,DXB,2188,ATL,3682,,0,77L DL,2009,EBB,1187,AMS,580,Y,0,332 330 DL,2009,ECP,7669,ATL,3682,,0,717 M88 DL,2009,EKO,5736,SLC,3536,,0,EM2 DL,2009,ELM,3946,DTW,3645,Y,0,CRJ CR7 DL,2009,ELP,3559,ATL,3682,,0,M88 DL,2009,ERI,4276,DTW,3645,,0,ERJ DL,2009,ESC,6800,DTW,3645,Y,0,CRJ DL,2009,EUG,4099,SLC,3536,Y,0,CR7 CRJ DL,2009,EVV,4018,ATL,3682,Y,0,CRJ DL,2009,EVV,4018,DTW,3645,Y,0,CRJ DL,2009,EWN,3730,ATL,3682,Y,0,CRJ DL,2009,EWR,3494,AMS,580,,0,76W DL,2009,EWR,3494,ATL,3682,,0,717 319 DL,2009,EWR,3494,CDG,1382,,0,76W DL,2009,EWR,3494,CVG,3488,Y,0,CRJ DL,2009,EWR,3494,DTW,3645,,0,320 717 DL,2009,EWR,3494,LHR,507,Y,0,346 333 DL,2009,EWR,3494,MSP,3858,,0,319 DL,2009,EWR,3494,SLC,3536,,0,320 DL,2009,EYW,3875,ATL,3682,,0,73W DL,2009,EYW,3875,LGA,3697,,0,73W DL,2009,EZE,3988,ATL,3682,,0,76W DL,2009,FAR,4292,ATL,3682,Y,0,CR9 DL,2009,FAR,4292,MSP,3858,,0,320 DL,2009,FAR,4292,SLC,3536,Y,0,CR7 DL,2009,FAT,3687,GDL,1804,Y,0,738 DL,2009,FAT,3687,SLC,3536,Y,0,CR9 CRJ DL,2009,FAY,5738,ATL,3682,,0,73W DL,2009,FCA,4127,MSP,3858,Y,0,E75 CR9 DL,2009,FCA,4127,SLC,3536,Y,0,E75 CRJ DL,2009,FCO,1555,ATL,3682,,0,333 DL,2009,FCO,1555,BOS,3448,Y,0,330 332 DL,2009,FCO,1555,JFK,3797,,0,772 333 330 DL,2009,FCO,1555,LAX,3484,Y,0,772 DL,2009,FCO,1555,MIA,3576,Y,0,772 330 DL,2009,FCO,1555,ORD,3830,Y,0,332 330 DL,2009,FCO,1555,YYZ,193,Y,0,332 DL,2009,FLL,3533,ATL,3682,,0,757 M90 739 DL,2009,FLL,3533,CVG,3488,,0,73H M88 DL,2009,FLL,3533,DTW,3645,,0,M88 757 739 738 DL,2009,FLL,3533,JFK,3797,,0,752 M88 73H 738 DL,2009,FLL,3533,LGA,3697,,0,M88 738 319 DL,2009,FLL,3533,MSP,3858,,0,757 DL,2009,FLL,3533,RDU,3626,Y,0,CR9 DL,2009,FLL,3533,YYZ,193,Y,0,73H 73W DL,2009,FNT,4089,ATL,3682,,0,M88 DL,2009,FNT,4089,MSP,3858,Y,0,CRJ DL,2009,FPO,1948,ATL,3682,,0,M88 DL,2009,FRA,340,ATL,3682,,0,764 DL,2009,FRA,340,DTW,3645,,0,764 DL,2009,FRA,340,JFK,3797,,0,76W DL,2009,FSD,4009,ATL,3682,Y,0,CR7 DL,2009,FSD,4009,MSP,3858,,0,320 DL,2009,FSM,3437,ATL,3682,Y,0,CRJ DL,2009,FUK,2305,HNL,3728,,0,76W DL,2009,FWA,4041,ATL,3682,Y,0,CRJ DL,2009,FWA,4041,DTW,3645,Y,0,CRJ DL,2009,FWA,4041,MSP,3858,Y,0,CRJ DL,2009,GCC,4296,RKS,5766,Y,0,EM2 DL,2009,GCC,4296,SLC,3536,Y,0,EM2 DL,2009,GCM,1926,ATL,3682,,0,M88 DL,2009,GCM,1926,DTW,3645,,0,738 DL,2009,GDL,1804,ATL,3682,,0,320 DL,2009,GDL,1804,FAT,3687,Y,0,738 DL,2009,GDL,1804,LAX,3484,,0,738 DL,2009,GDL,1804,MTY,1825,Y,0,ER4 DL,2009,GDL,1804,ONT,3734,Y,0,738 DL,2009,GDL,1804,ORD,3830,,0,737 DL,2009,GDL,1804,SLC,3536,Y,0,CR9 DL,2009,GDL,1804,SMF,3817,Y,0,738 DL,2009,GEG,3467,LAX,3484,Y,0,CR9 DL,2009,GEG,3467,MSP,3858,,0,320 DL,2009,GEG,3467,SLC,3536,,0,320 319 DL,2009,GFK,3442,MSP,3858,Y,0,CRJ DL,2009,GGT,1941,ATL,3682,Y,0,CR9 DL,2009,GIG,2560,ATL,3682,,0,764 DL,2009,GIG,2560,SDQ,1762,Y,0,738 DL,2009,GJT,4063,SLC,3536,Y,0,CRJ DL,2009,GLA,534,MCO,3878,Y,0,744 DL,2009,GND,2882,JFK,3797,,0,73H DL,2009,GNV,3472,ATL,3682,,0,717 DL,2009,GPT,4038,ATL,3682,,0,M88 DL,2009,GRB,3653,ATL,3682,Y,0,CR9 CR7 DL,2009,GRB,3653,DTW,3645,,0,319 320 DL,2009,GRB,3653,MSP,3858,Y,0,CR9 CRJ DL,2009,GRK,3775,ATL,3682,Y,0,CR9 CR7 DL,2009,GRR,3685,ATL,3682,,0,320 717 M88 319 DL,2009,GRR,3685,CVG,3488,,0,ERJ DL,2009,GRR,3685,DTW,3645,,0,320 ERJ M88 717 DL,2009,GRR,3685,LGA,3697,Y,0,CR7 DL,2009,GRR,3685,MCO,3878,Y,0,CR7 DL,2009,GRR,3685,MSP,3858,,0,320 319 DL,2009,GRU,2564,ATL,3682,,0,76W DL,2009,GRU,2564,DTW,3645,,0,76W DL,2009,GRU,2564,JFK,3797,,0,764 DL,2009,GRU,2564,SDQ,1762,Y,0,738 DL,2009,GSO,4008,ATL,3682,,0,M88 73H 320 738 319 DL,2009,GSO,4008,DTW,3645,Y,0,CRJ DL,2009,GSO,4008,LGA,3697,Y,0,CR9 CR7 DL,2009,GSP,4034,ATL,3682,,0,M88 319 717 DL,2009,GSP,4034,DTW,3645,Y,0,CRJ DL,2009,GSP,4034,LGA,3697,Y,0,CRJ DL,2009,GTF,3880,MSP,3858,Y,0,E75 DL,2009,GTF,3880,SLC,3536,Y,0,CRJ DL,2009,GTR,4273,ATL,3682,Y,0,CRJ DL,2009,GUA,1767,ATL,3682,,0,757 DL,2009,GUA,1767,JFK,3797,,0,752 DL,2009,GUA,1767,LAX,3484,,0,757 DL,2009,GUM,2246,KIX,3992,,0,752 DL,2009,GUM,2246,NGO,3942,,0,752 DL,2009,GUM,2246,NRT,2279,,0,752 DL,2009,HAM,342,AMS,580,Y,0,737 EMJ F70 DL,2009,HIB,3650,MSP,3858,Y,0,CRJ DL,2009,HKG,3077,NRT,2279,,0,332 777 DL,2009,HLN,3504,MSP,3858,Y,0,E75 DL,2009,HLN,3504,SLC,3536,Y,0,CRJ DL,2009,HMO,1807,CUL,1792,,0,ER4 DL,2009,HMO,1807,LAX,3484,,0,ER4 DL,2009,HMO,1807,MEX,1824,,0,ER4 DL,2009,HMO,1807,PHX,3462,,0,ER4 DL,2009,HND,2359,LAX,3484,,0,76W DL,2009,HND,2359,SEA,3577,,0,76W DL,2009,HNL,3728,ATL,3682,,0,333 DL,2009,HNL,3728,FUK,2305,,0,76W DL,2009,HNL,3728,ICN,3930,Y,0,333 744 DL,2009,HNL,3728,KIX,3992,,0,333 DL,2009,HNL,3728,LAX,3484,,0,753 76W 757 DL,2009,HNL,3728,NGO,3942,,0,76W DL,2009,HNL,3728,NRT,2279,,0,744 76W 333 DL,2009,HNL,3728,SEA,3577,,0,753 DL,2009,HNL,3728,SFO,3469,,0,753 DL,2009,HNL,3728,SLC,3536,,0,763 DL,2009,HNL,3728,YVR,156,Y,0,73H DL,2009,HOU,3566,ATL,3682,,0,M88 DL,2009,HPN,3589,ATL,3682,Y,0,CR7 CR9 DL,2009,HPN,3589,DTW,3645,Y,0,CRJ DL,2009,HPN,3589,MCO,3878,Y,0,CR7 DL,2009,HRE,1005,LUN,907,Y,0,332 330 DL,2009,HSV,4113,ATL,3682,,0,M88 717 DL,2009,HSV,4113,DTW,3645,Y,0,CRJ DL,2009,IAD,3714,AMS,580,Y,0,333 332 DL,2009,IAD,3714,ATL,3682,,0,320 M88 319 DL,2009,IAD,3714,CDG,1382,,0,388 77W DL,2009,IAD,3714,DTW,3645,,0,CR7 ERJ DL,2009,IAD,3714,ICN,3930,Y,0,77W 772 DL,2009,IAD,3714,JFK,3797,Y,0,ERJ CR7 DL,2009,IAD,3714,LHR,507,Y,0,333 DL,2009,IAD,3714,MEX,1824,,0,737 DL,2009,IAD,3714,MSP,3858,Y,0,CR9 CR7 DL,2009,IAD,3714,SVO,2985,,0,763 DL,2009,IAH,3550,AMS,580,Y,0,74M DL,2009,IAH,3550,ATL,3682,,0,M88 717 319 DL,2009,IAH,3550,CDG,1382,Y,0,77W DL,2009,IAH,3550,CVG,3488,Y,0,CR9 DL,2009,IAH,3550,DTW,3645,,0,717 DL,2009,IAH,3550,LGA,3697,Y,0,E75 E70 CR9 DL,2009,IAH,3550,MEM,3473,Y,0,CRJ DL,2009,IAH,3550,MEX,1824,,0,EMJ DL,2009,IAH,3550,MSP,3858,Y,0,CR7 E70 E75 CR9 DL,2009,IAH,3550,SEA,3577,Y,0,73J DL,2009,IAH,3550,SLC,3536,,0,319 DL,2009,ICN,3930,ATL,3682,Y,0,77W DL,2009,ICN,3930,DFW,3670,Y,0,772 DL,2009,ICN,3930,DTW,3645,,0,744 DL,2009,ICN,3930,HNL,3728,Y,0,333 744 DL,2009,ICN,3930,IAD,3714,Y,0,77W 772 DL,2009,ICN,3930,JFK,3797,,0,388 77W DL,2009,ICN,3930,LAS,3877,Y,0,772 DL,2009,ICN,3930,LAX,3484,Y,0,388 77W DL,2009,ICN,3930,ORD,3830,Y,0,772 77W DL,2009,ICN,3930,REP,3035,Y,0,73H DL,2009,ICN,3930,SEA,3577,Y,0,772 77W DL,2009,ICN,3930,SFO,3469,Y,0,77W 772 DL,2009,ICT,3457,ATL,3682,,0,M88 DL,2009,ICT,3457,MSP,3858,Y,0,CRJ DL,2009,IDA,4100,SLC,3536,Y,0,CRJ DL,2009,ILM,3845,ATL,3682,,0,319 DL,2009,ILM,3845,LGA,3697,Y,0,ERJ DL,2009,IMT,6837,MSP,3858,Y,0,CRJ DL,2009,IMT,6837,RHI,5765,Y,0,CRJ DL,2009,IND,3585,ATL,3682,,0,M88 320 M90 DL,2009,IND,3585,BOS,3448,Y,0,E75 DL,2009,IND,3585,CUN,1852,,0,320 DL,2009,IND,3585,DTW,3645,,0,320 M88 ERJ DL,2009,IND,3585,JFK,3797,Y,0,CR9 DL,2009,IND,3585,LAX,3484,,0,320 DL,2009,IND,3585,LGA,3697,,0,CR7 DL,2009,IND,3585,MBJ,1780,,0,320 DL,2009,IND,3585,MCO,3878,Y,0,CR9 DL,2009,IND,3585,MEM,3473,Y,0,ERJ CRJ DL,2009,IND,3585,MSP,3858,,0,M90 320 319 DL,2009,IND,3585,RDU,3626,Y,0,CRJ DL,2009,IND,3585,RSW,3793,,0,E75 DL,2009,IND,3585,SLC,3536,,0,320 319 DL,2009,IND,3585,TPA,3646,Y,0,E75 DL,2009,INL,3535,BRD,6957,Y,0,CRJ DL,2009,INL,3535,MSP,3858,Y,0,CRJ DL,2009,ISN,3659,MSP,3858,Y,0,CRJ DL,2009,ITH,3947,DTW,3645,Y,0,CRJ DL,2009,JAC,4027,SLC,3536,Y,0,CR7 DL,2009,JAN,3580,ATL,3682,,0,717 M88 DL,2009,JAX,3712,ATL,3682,,0,757 739 M90 738 DL,2009,JAX,3712,BOS,3448,Y,0,CR9 DL,2009,JAX,3712,CVG,3488,Y,0,CRJ DL,2009,JAX,3712,DTW,3645,Y,0,CR9 DL,2009,JAX,3712,JFK,3797,Y,0,CR9 DL,2009,JAX,3712,LGA,3697,,0,CR7 DL,2009,JAX,3712,MSP,3858,Y,0,E75 CR9 E70 DL,2009,JFK,3797,ACC,248,,0,76W DL,2009,JFK,3797,AMS,580,,0,76W DL,2009,JFK,3797,ATL,3682,,0,752 757 319 738 M88 DL,2009,JFK,3797,AUA,2895,,0,73H DL,2009,JFK,3797,AUS,3673,,0,319 DL,2009,JFK,3797,BCN,1218,,0,333 DL,2009,JFK,3797,BDA,4069,,0,73H DL,2009,JFK,3797,BNA,3690,,0,CR9 DL,2009,JFK,3797,BOG,2709,,0,73W DL,2009,JFK,3797,BOS,3448,,0,CR9 752 CR7 DL,2009,JFK,3797,BRU,302,,0,76W DL,2009,JFK,3797,BUF,3820,,0,CR7 CR9 DL,2009,JFK,3797,BWI,3849,,0,ERJ DL,2009,JFK,3797,CDG,1382,,0,332 772 388 343 DL,2009,JFK,3797,CHS,3806,,0,ERJ CRJ DL,2009,JFK,3797,CLE,3486,,0,CRJ ERJ DL,2009,JFK,3797,CLT,3876,,0,ERJ DL,2009,JFK,3797,CMH,3759,,0,ERJ CRJ DL,2009,JFK,3797,CUN,1852,,0,738 DL,2009,JFK,3797,CVG,3488,,0,CR9 CR7 DL,2009,JFK,3797,DCA,3520,,0,CR9 DL,2009,JFK,3797,DEN,3751,,0,73H DL,2009,JFK,3797,DFW,3670,,0,CR9 DL,2009,JFK,3797,DKR,1084,,0,752 DL,2009,JFK,3797,DTW,3645,,0,M88 CR9 73H 319 DL,2009,JFK,3797,DUB,599,,0,752 DL,2009,JFK,3797,FCO,1555,,0,772 333 330 DL,2009,JFK,3797,FLL,3533,,0,752 M88 73H 738 DL,2009,JFK,3797,FRA,340,,0,76W DL,2009,JFK,3797,GND,2882,,0,73H DL,2009,JFK,3797,GRU,2564,,0,764 DL,2009,JFK,3797,GUA,1767,,0,752 DL,2009,JFK,3797,IAD,3714,,0,CR7 ERJ CRJ DL,2009,JFK,3797,ICN,3930,,0,77W 388 DL,2009,JFK,3797,IND,3585,,0,CR9 DL,2009,JFK,3797,JAX,3712,,0,CR9 DL,2009,JFK,3797,LAS,3877,,0,73H 738 757 DL,2009,JFK,3797,LAX,3484,,0,76W 752 DL,2009,JFK,3797,LHR,507,,0,764 76W DL,2009,JFK,3797,LIR,1881,,0,73H DL,2009,JFK,3797,MAD,1229,,0,764 DL,2009,JFK,3797,MBJ,1780,,0,73H DL,2009,JFK,3797,MCO,3878,,0,752 73H M88 738 DL,2009,JFK,3797,MEX,1824,,0,738 757 787 DL,2009,JFK,3797,MIA,3576,,0,73H M88 738 319 DL,2009,JFK,3797,MSP,3858,,0,CR9 319 M88 DL,2009,JFK,3797,MSY,3861,Y,0,CR9 DL,2009,JFK,3797,MXP,1524,,0,764 330 DL,2009,JFK,3797,NAS,1953,,0,M88 DL,2009,JFK,3797,NCE,1354,,0,764 DL,2009,JFK,3797,NRT,2279,,0,744 DL,2009,JFK,3797,ORD,3830,,0,CR9 DL,2009,JFK,3797,ORF,3611,,0,ERJ DL,2009,JFK,3797,PAP,1897,,0,738 DL,2009,JFK,3797,PDX,3720,,0,752 73H DL,2009,JFK,3797,PHL,3752,,0,ERJ CRJ 752 DL,2009,JFK,3797,PHX,3462,,0,738 73H DL,2009,JFK,3797,PIT,3570,,0,CR9 752 ERJ DL,2009,JFK,3797,PLS,1754,,0,73H DL,2009,JFK,3797,PUJ,1760,,0,73H DL,2009,JFK,3797,PVG,3406,,0,346 DL,2009,JFK,3797,RDU,3626,,0,CR7 CR9 DL,2009,JFK,3797,RIC,3608,,0,ERJ CR9 DL,2009,JFK,3797,ROC,3622,,0,CRJ ERJ CR9 DL,2009,JFK,3797,SAN,3731,,0,757 73H DL,2009,JFK,3797,SAT,3621,,0,73H DL,2009,JFK,3797,SAV,3613,,0,CR9 CR7 DL,2009,JFK,3797,SDF,4014,,0,CRJ ERJ DL,2009,JFK,3797,SDQ,1762,,0,73H DL,2009,JFK,3797,SEA,3577,,0,752 757 DL,2009,JFK,3797,SFO,3469,,0,752 DL,2009,JFK,3797,SJO,1885,,0,757 DL,2009,JFK,3797,SJU,2890,,0,73H 752 757 DL,2009,JFK,3797,SLC,3536,,0,757 73H 738 739 752 DL,2009,JFK,3797,STI,1764,,0,73H DL,2009,JFK,3797,STL,3678,,0,CR7 CR9 DL,2009,JFK,3797,STT,2883,,0,757 DL,2009,JFK,3797,SVO,2985,,0,333 76W 77W DL,2009,JFK,3797,SXM,2899,,0,752 DL,2009,JFK,3797,SYR,3745,,0,ERJ DL,2009,JFK,3797,TLV,1590,,0,744 DL,2009,JFK,3797,TPA,3646,,0,M88 738 73H DL,2009,JFK,3797,VCE,1551,,0,764 DL,2009,JFK,3797,YUL,146,,0,ERJ CRJ DL,2009,JFK,3797,YYC,178,Y,0,736 DL,2009,JFK,3797,YYZ,193,,0,CRJ CR7 ERJ DL,2009,JNB,813,ATL,3682,,0,77L DL,2009,JRO,1180,DAR,1177,Y,0,332 330 DL,2009,KGL,1165,EBB,1187,Y,0,332 330 DL,2009,KIN,1779,ATL,3682,,0,319 DL,2009,KIX,3992,GUM,2246,,0,752 DL,2009,KIX,3992,HNL,3728,,0,333 DL,2009,KOA,3514,LAX,3484,,0,757 DL,2009,KSC,1746,BTS,1745,Y,0,AT4 DL,2009,KWI,2176,AMS,580,Y,0,330 DL,2009,KWI,2176,DMM,2064,Y,0,332 330 DL,2009,LAN,3544,ATL,3682,Y,0,CRJ DL,2009,LAN,3544,DTW,3645,Y,0,CRJ DL,2009,LAN,3544,MSP,3858,Y,0,CRJ DL,2009,LAS,3877,ATL,3682,,0,739 757 738 753 DL,2009,LAS,3877,BOS,3448,,0,73H DL,2009,LAS,3877,CVG,3488,,0,757 DL,2009,LAS,3877,DTW,3645,,0,757 320 739 738 DL,2009,LAS,3877,ICN,3930,Y,0,772 DL,2009,LAS,3877,JFK,3797,,0,738 757 73H DL,2009,LAS,3877,LAX,3484,,0,319 DL,2009,LAS,3877,LGW,502,Y,0,744 DL,2009,LAS,3877,MAN,478,Y,0,744 DL,2009,LAS,3877,MCO,3878,,0,73H DL,2009,LAS,3877,MEM,3473,,0,738 DL,2009,LAS,3877,MEX,1824,,0,737 DL,2009,LAS,3877,MSP,3858,,0,757 M90 738 739 DL,2009,LAS,3877,MTY,1825,Y,0,737 DL,2009,LAS,3877,RDU,3626,,0,73H DL,2009,LAS,3877,SEA,3577,Y,0,CR9 DL,2009,LAS,3877,SLC,3536,,0,738 757 320 DL,2009,LAS,3877,YVR,156,Y,0,73H 73W DL,2009,LAS,3877,YYC,178,Y,0,73H 73W DL,2009,LAS,3877,YYZ,193,Y,0,73H DL,2009,LAX,3484,AMS,580,Y,0,74M 747 DL,2009,LAX,3484,ATL,3682,,0,763 757 73H 76W DL,2009,LAX,3484,BJX,1815,Y,0,CR9 DL,2009,LAX,3484,BNA,3690,,0,738 73H DL,2009,LAX,3484,BNE,3320,Y,0,77W DL,2009,LAX,3484,BOS,3448,,0,73H DL,2009,LAX,3484,BZE,1957,,0,320 DL,2009,LAX,3484,CAN,3370,Y,0,380 DL,2009,LAX,3484,CDG,1382,Y,0,388 772 DL,2009,LAX,3484,CMH,3759,,0,738 DL,2009,LAX,3484,CUN,1852,,0,320 DL,2009,LAX,3484,CVG,3488,,0,320 DL,2009,LAX,3484,DCA,3520,Y,0,73H DL,2009,LAX,3484,DTW,3645,,0,739 763 753 DL,2009,LAX,3484,FCO,1555,Y,0,772 DL,2009,LAX,3484,GDL,1804,,0,738 DL,2009,LAX,3484,GEG,3467,Y,0,CR9 DL,2009,LAX,3484,GUA,1767,,0,757 DL,2009,LAX,3484,HMO,1807,,0,ER4 DL,2009,LAX,3484,HND,2359,,0,76W DL,2009,LAX,3484,HNL,3728,,0,76W 757 753 DL,2009,LAX,3484,ICN,3930,Y,0,388 77W DL,2009,LAX,3484,IND,3585,,0,320 DL,2009,LAX,3484,JFK,3797,,0,76W 752 DL,2009,LAX,3484,KOA,3514,,0,757 DL,2009,LAX,3484,LAS,3877,,0,319 DL,2009,LAX,3484,LHR,507,Y,0,346 343 744 DL,2009,LAX,3484,LIH,3602,,0,757 DL,2009,LAX,3484,LIR,1881,,0,738 DL,2009,LAX,3484,MCI,3458,Y,0,E75 DL,2009,LAX,3484,MCO,3878,,0,738 757 739 73H DL,2009,LAX,3484,MEL,3339,Y,0,77W DL,2009,LAX,3484,MEM,3473,,0,320 DL,2009,LAX,3484,MEX,1824,,0,737 DL,2009,LAX,3484,MIA,3576,,0,738 DL,2009,LAX,3484,MSP,3858,,0,757 753 739 763 738 DL,2009,LAX,3484,MSY,3861,,0,319 DL,2009,LAX,3484,NRT,2279,,0,744 DL,2009,LAX,3484,OAK,3453,Y,0,CR7 DL,2009,LAX,3484,OGG,3456,,0,757 DL,2009,LAX,3484,PDX,3720,Y,0,CR7 CR9 DL,2009,LAX,3484,PHX,3462,Y,0,CR7 CR9 DL,2009,LAX,3484,PPT,4075,Y,0,772 DL,2009,LAX,3484,PVG,3406,Y,0,346 DL,2009,LAX,3484,PVR,1836,,0,320 73H DL,2009,LAX,3484,RDU,3626,,0,738 DL,2009,LAX,3484,SAN,3731,Y,0,CR9 CR7 DL,2009,LAX,3484,SEA,3577,,0,73H DL,2009,LAX,3484,SFO,3469,Y,0,E75 DL,2009,LAX,3484,SJC,3748,Y,0,CR9 CR7 DL,2009,LAX,3484,SJO,1885,,0,757 DL,2009,LAX,3484,SLC,3536,,0,757 73H 320 739 DL,2009,LAX,3484,SMF,3817,Y,0,CR7 CR9 DL,2009,LAX,3484,SVO,2985,,0,332 DL,2009,LAX,3484,SYD,3361,,0,77L DL,2009,LAX,3484,TPA,3646,,0,320 DL,2009,LAX,3484,TPE,2276,Y,0,744 DL,2009,LAX,3484,YEG,49,Y,0,73H DL,2009,LAX,3484,YYC,178,Y,0,73W DL,2009,LEX,4017,ATL,3682,,0,M88 717 DL,2009,LEX,4017,DCA,3520,Y,0,CRJ DL,2009,LEX,4017,DTW,3645,Y,0,CR7 CRJ CR9 DL,2009,LEX,4017,LGA,3697,,0,ERJ DL,2009,LEX,4017,MSP,3858,Y,0,CRJ DL,2009,LFT,3493,ATL,3682,Y,0,CRJ DL,2009,LGA,3697,ATL,3682,,0,M88 757 320 738 739 73W DL,2009,LGA,3697,AUA,2895,,0,738 DL,2009,LGA,3697,BGR,3463,,0,CR7 DL,2009,LGA,3697,BHM,3811,Y,0,CR9 CR7 DL,2009,LGA,3697,BNA,3690,Y,0,CR7 CR9 DL,2009,LGA,3697,BOS,3448,Y,0,E75 DL,2009,LGA,3697,BTV,3711,,0,CR7 DL,2009,LGA,3697,BUF,3820,,0,CR7 DL,2009,LGA,3697,CAE,3561,Y,0,CRJ DL,2009,LGA,3697,CHO,4015,Y,0,CR7 DL,2009,LGA,3697,CHS,3806,,0,CR7 DL,2009,LGA,3697,CLE,3486,Y,0,CR7 DL,2009,LGA,3697,CLT,3876,,0,E75 CR7 DL,2009,LGA,3697,CMH,3759,Y,0,E70 E75 CR7 ERJ DL,2009,LGA,3697,CVG,3488,,0,CR7 DL,2009,LGA,3697,DAY,3627,Y,0,ERJ DL,2009,LGA,3697,DCA,3520,Y,0,E70 E75 DL,2009,LGA,3697,DEN,3751,,0,320 DL,2009,LGA,3697,DFW,3670,,0,E75 DL,2009,LGA,3697,DSM,3729,Y,0,CR9 DL,2009,LGA,3697,DTW,3645,,0,319 M88 738 DL,2009,LGA,3697,EYW,3875,,0,73W DL,2009,LGA,3697,FLL,3533,,0,M88 738 319 DL,2009,LGA,3697,GRR,3685,Y,0,CR7 DL,2009,LGA,3697,GSO,4008,,0,CR7 DL,2009,LGA,3697,GSP,4034,Y,0,CRJ DL,2009,LGA,3697,IAH,3550,Y,0,E70 E75 DL,2009,LGA,3697,ILM,3845,Y,0,ERJ DL,2009,LGA,3697,IND,3585,,0,E75 CR7 DL,2009,LGA,3697,JAX,3712,,0,CR7 DL,2009,LGA,3697,LEX,4017,Y,0,ERJ DL,2009,LGA,3697,MCI,3458,Y,0,CR7 E75 E70 DL,2009,LGA,3697,MCO,3878,,0,319 M88 738 DL,2009,LGA,3697,MEM,3473,Y,0,CR9 DL,2009,LGA,3697,MHT,4011,,0,ERJ DL,2009,LGA,3697,MIA,3576,,0,M88 320 738 DL,2009,LGA,3697,MKE,3717,,0,CR7 DL,2009,LGA,3697,MSN,3459,,0,E70 DL,2009,LGA,3697,MSP,3858,,0,319 320 M88 DL,2009,LGA,3697,MSY,3861,,0,319 DL,2009,LGA,3697,MYR,3515,Y,0,E75 DL,2009,LGA,3697,OMA,3454,Y,0,E75 DL,2009,LGA,3697,ORD,3830,Y,0,E75 E70 DL,2009,LGA,3697,ORF,3611,Y,0,CR7 DL,2009,LGA,3697,PBI,3722,,0,319 DL,2009,LGA,3697,PIT,3570,Y,0,CR9 CR7 DL,2009,LGA,3697,PWM,3862,,0,ERJ M88 DL,2009,LGA,3697,RDU,3626,,0,CR7 DL,2009,LGA,3697,RIC,3608,,0,CR7 DL,2009,LGA,3697,ROC,3622,Y,0,CR7 CR9 DL,2009,LGA,3697,RSW,3793,Y,0,CR9 DL,2009,LGA,3697,SAV,3613,,0,CR7 DL,2009,LGA,3697,SDF,4014,,0,ERJ DL,2009,LGA,3697,SRQ,4067,,0,319 DL,2009,LGA,3697,STL,3678,,0,CR7 DL,2009,LGA,3697,SYR,3745,,0,CR7 DL,2009,LGA,3697,TPA,3646,,0,319 M88 320 DL,2009,LGA,3697,TYS,3676,Y,0,CRJ DL,2009,LGA,3697,YHZ,73,Y,0,CR7 DL,2009,LGA,3697,YUL,146,Y,0,ERJ CR7 DL,2009,LGA,3697,YYZ,193,Y,0,736 73W DL,2009,LGB,3582,SLC,3536,Y,0,CR9 CR7 DL,2009,LGW,502,LAS,3877,Y,0,744 DL,2009,LGW,502,MCO,3878,Y,0,744 DL,2009,LHR,507,ATL,3682,,0,764 77L 76W DL,2009,LHR,507,BOS,3448,,0,764 DL,2009,LHR,507,DTW,3645,,0,76W 77L DL,2009,LHR,507,EWR,3494,Y,0,333 346 DL,2009,LHR,507,IAD,3714,Y,0,333 DL,2009,LHR,507,JFK,3797,,0,76W 764 DL,2009,LHR,507,LAX,3484,Y,0,346 343 744 DL,2009,LHR,507,MIA,3576,Y,0,744 333 DL,2009,LHR,507,MSP,3858,,0,764 DL,2009,LHR,507,ORD,3830,Y,0,343 DL,2009,LHR,507,SEA,3577,,0,76W DL,2009,LHR,507,SFO,3469,Y,0,744 DL,2009,LIH,3602,LAX,3484,,0,757 DL,2009,LIM,2789,ATL,3682,,0,76W DL,2009,LIR,1881,ATL,3682,,0,738 757 DL,2009,LIR,1881,JFK,3797,,0,738 DL,2009,LIR,1881,LAX,3484,,0,738 DL,2009,LIT,3660,ATL,3682,,0,M88 319 DL,2009,LIT,3660,DTW,3645,Y,0,CR7 DL,2009,LNK,3543,MSP,3858,Y,0,CRJ DL,2009,LOS,273,ATL,3682,,0,76W DL,2009,LSE,4044,MSP,3858,Y,0,CRJ DL,2009,LUN,907,AMS,580,Y,0,330 DL,2009,LWS,3945,SLC,3536,Y,0,CRJ DL,2009,MAD,1229,ATL,3682,,0,764 DL,2009,MAD,1229,JFK,3797,,0,764 DL,2009,MAN,478,ATL,3682,,0,76W DL,2009,MAN,478,LAS,3877,Y,0,744 DL,2009,MAN,478,MCO,3878,Y,0,744 DL,2009,MBJ,1780,ATL,3682,,0,757 M88 DL,2009,MBJ,1780,DTW,3645,,0,320 DL,2009,MBJ,1780,IND,3585,,0,320 DL,2009,MBJ,1780,JFK,3797,,0,73H DL,2009,MBS,4128,ATL,3682,Y,0,CRJ DL,2009,MBS,4128,DTW,3645,Y,0,CRJ CR9 DL,2009,MBS,4128,MSP,3858,Y,0,CRJ DL,2009,MCI,3458,ATL,3682,,0,757 M90 M88 DL,2009,MCI,3458,CVG,3488,,0,ERJ DL,2009,MCI,3458,DTW,3645,,0,320 M88 319 DL,2009,MCI,3458,LAX,3484,Y,0,E75 DL,2009,MCI,3458,LGA,3697,Y,0,CR7 E75 E70 DL,2009,MCI,3458,MCO,3878,Y,0,E75 DL,2009,MCI,3458,MEM,3473,,0,ERJ DL,2009,MCI,3458,MSP,3858,,0,320 319 M88 ERJ DL,2009,MCI,3458,SLC,3536,,0,319 DL,2009,MCO,3878,ATL,3682,,0,757 76W 739 M88 753 763 DL,2009,MCO,3878,AUS,3673,Y,0,CR7 DL,2009,MCO,3878,BDL,3825,Y,0,CR9 DL,2009,MCO,3878,BHM,3811,Y,0,CR7 DL,2009,MCO,3878,BNA,3690,Y,0,CR9 DL,2009,MCO,3878,BOS,3448,,0,320 M88 DL,2009,MCO,3878,CMH,3759,Y,0,E70 DL,2009,MCO,3878,CUN,1852,,0,757 DL,2009,MCO,3878,CVG,3488,,0,M88 320 DL,2009,MCO,3878,DTW,3645,,0,757 753 DL,2009,MCO,3878,GLA,534,Y,0,744 DL,2009,MCO,3878,GRR,3685,Y,0,CR7 DL,2009,MCO,3878,HPN,3589,Y,0,CR7 DL,2009,MCO,3878,IND,3585,Y,0,CR9 DL,2009,MCO,3878,JFK,3797,,0,73H 752 M88 738 DL,2009,MCO,3878,LAS,3877,,0,738 DL,2009,MCO,3878,LAX,3484,,0,757 739 DL,2009,MCO,3878,LGA,3697,,0,M88 738 319 320 DL,2009,MCO,3878,LGW,502,Y,0,744 DL,2009,MCO,3878,MAN,478,Y,0,744 DL,2009,MCO,3878,MCI,3458,Y,0,E75 DL,2009,MCO,3878,MEM,3473,,0,M88 DL,2009,MCO,3878,MEX,1824,,0,737 DL,2009,MCO,3878,MKE,3717,,0,M88 DL,2009,MCO,3878,MSP,3858,,0,753 757 DL,2009,MCO,3878,OMA,3454,Y,0,E75 DL,2009,MCO,3878,ORF,3611,Y,0,CR7 DL,2009,MCO,3878,PIT,3570,Y,0,CR9 DL,2009,MCO,3878,RDU,3626,Y,0,CR9 DL,2009,MCO,3878,RIC,3608,Y,0,CR9 DL,2009,MCO,3878,SAT,3621,Y,0,CR9 DL,2009,MCO,3878,SDF,4014,Y,0,E75 DL,2009,MCO,3878,SDQ,1762,Y,0,738 DL,2009,MCO,3878,SLC,3536,,0,757 738 73H DL,2009,MCO,3878,YYZ,193,Y,0,73W 73H DL,2009,MCT,2194,DOH,11051,Y,0,332 DL,2009,MDT,3542,ATL,3682,,0,M88 DL,2009,MDT,3542,DTW,3645,Y,0,CR9 CRJ DL,2009,MDW,3747,ATL,3682,,0,319 320 717 DL,2009,MDW,3747,DTW,3645,Y,0,CR7 CR9 E75 DL,2009,MDW,3747,MSP,3858,Y,0,E75 E70 CR7 CR9 DL,2009,MEL,3339,LAX,3484,Y,0,77W DL,2009,MEM,3473,ATL,3682,,0,M88 320 319 DL,2009,MEM,3473,AUS,3673,Y,0,CRJ DL,2009,MEM,3473,CVG,3488,Y,0,CRJ DL,2009,MEM,3473,DCA,3520,Y,0,E70 DL,2009,MEM,3473,DEN,3751,Y,0,CR9 DL,2009,MEM,3473,DFW,3670,Y,0,CRJ DL,2009,MEM,3473,DTW,3645,Y,0,CR9 E70 DL,2009,MEM,3473,IAH,3550,Y,0,CRJ DL,2009,MEM,3473,IND,3585,Y,0,CRJ ERJ DL,2009,MEM,3473,LAS,3877,,0,738 DL,2009,MEM,3473,LAX,3484,,0,320 DL,2009,MEM,3473,LGA,3697,Y,0,CR9 DL,2009,MEM,3473,MCI,3458,Y,0,CRJ DL,2009,MEM,3473,MCO,3878,,0,M88 DL,2009,MEM,3473,MSP,3858,,0,M88 DL,2009,MEM,3473,MSY,3861,Y,0,CRJ ERJ DL,2009,MEM,3473,ORD,3830,Y,0,ERJ CRJ CR9 DL,2009,MEM,3473,PIT,3570,,0,ERJ DL,2009,MEM,3473,RDU,3626,Y,0,CRJ DL,2009,MEM,3473,SAT,3621,Y,0,CRJ DL,2009,MEM,3473,SLC,3536,,0,320 DL,2009,MEX,1824,ACA,1783,,0,738 DL,2009,MEX,1824,ATL,3682,,0,73H 73W 738 DL,2009,MEX,1824,DFW,3670,,0,EMJ DL,2009,MEX,1824,DTW,3645,,0,319 DL,2009,MEX,1824,IAD,3714,,0,737 DL,2009,MEX,1824,IAH,3550,,0,EMJ DL,2009,MEX,1824,JFK,3797,,0,738 787 757 DL,2009,MEX,1824,LAS,3877,,0,737 DL,2009,MEX,1824,LAX,3484,,0,737 DL,2009,MEX,1824,MCO,3878,,0,737 DL,2009,MEX,1824,MIA,3576,,0,737 DL,2009,MEX,1824,MID,1819,,0,737 DL,2009,MEX,1824,ORD,3830,,0,737 DL,2009,MEX,1824,SAT,3621,,0,EMJ DL,2009,MEX,1824,SFO,3469,,0,737 DL,2009,MEX,1824,VSA,1853,,0,EMJ DL,2009,MFR,4101,SLC,3536,Y,0,CRJ DL,2009,MGA,1863,ATL,3682,,0,319 320 DL,2009,MGM,4115,ATL,3682,Y,0,CRJ DL,2009,MHT,4011,ATL,3682,,0,320 DL,2009,MHT,4011,DTW,3645,,0,ERJ DL,2009,MHT,4011,LGA,3697,,0,ERJ DL,2009,MIA,3576,ATL,3682,,0,M88 757 M90 73H DL,2009,MIA,3576,CDG,1382,Y,0,77W DL,2009,MIA,3576,DTW,3645,,0,320 M88 DL,2009,MIA,3576,FCO,1555,Y,0,772 330 DL,2009,MIA,3576,JFK,3797,,0,M88 73H 738 319 DL,2009,MIA,3576,LAX,3484,,0,738 DL,2009,MIA,3576,LGA,3697,,0,320 M88 738 DL,2009,MIA,3576,LHR,507,Y,0,744 333 DL,2009,MIA,3576,MEX,1824,,0,737 DL,2009,MIA,3576,MID,1819,,0,EMJ DL,2009,MIA,3576,MSP,3858,,0,320 M90 DL,2009,MIA,3576,PAP,1897,,0,320 DL,2009,MIA,3576,SDQ,1762,Y,0,738 DL,2009,MIA,3576,SVO,2985,,0,332 DL,2009,MID,1819,MEX,1824,,0,EMJ DL,2009,MID,1819,MIA,3576,,0,EMJ DL,2009,MKE,3717,ATL,3682,,0,M90 M88 DL,2009,MKE,3717,CVG,3488,Y,0,CRJ DL,2009,MKE,3717,DTW,3645,,0,M88 717 M90 320 319 DL,2009,MKE,3717,LGA,3697,,0,CR7 DL,2009,MKE,3717,MCO,3878,,0,M88 DL,2009,MKE,3717,MSP,3858,,0,M90 320 M88 319 DL,2009,MLB,3671,ATL,3682,,0,M88 DL,2009,MLI,4072,ATL,3682,Y,0,CR7 CR9 DL,2009,MLI,4072,DTW,3645,Y,0,CRJ DL,2009,MLI,4072,MSP,3858,Y,0,CRJ ERJ DL,2009,MLU,3732,ATL,3682,Y,0,CRJ DL,2009,MNL,2397,NGO,3942,,0,744 DL,2009,MNL,2397,NRT,2279,,0,744 DL,2009,MOB,3782,ATL,3682,,0,717 319 DL,2009,MOT,3498,MSP,3858,Y,0,E75 CRJ CR9 E70 DL,2009,MQT,3675,DTW,3645,Y,0,CRJ DL,2009,MRS,1353,CDG,1382,Y,0,319 DL,2009,MSN,3459,ATL,3682,,0,73W 320 DL,2009,MSN,3459,CVG,3488,Y,0,CRJ DL,2009,MSN,3459,DCA,3520,Y,0,E70 DL,2009,MSN,3459,DTW,3645,,0,M88 320 319 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M88 319 DL,2009,MSP,3858,BZN,4020,,0,319 320 DL,2009,MSP,3858,CDG,1382,,0,332 DL,2009,MSP,3858,CID,4043,Y,0,CRJ DL,2009,MSP,3858,CLE,3486,Y,0,CRJ ERJ CR7 CR9 DL,2009,MSP,3858,CLT,3876,,0,319 320 DL,2009,MSP,3858,CMH,3759,,0,ERJ DL,2009,MSP,3858,CUN,1852,,0,320 DL,2009,MSP,3858,CVG,3488,Y,0,CRJ CR9 ERJ DL,2009,MSP,3858,CWA,4045,Y,0,CRJ DL,2009,MSP,3858,DAY,3627,Y,0,CRJ CR9 DL,2009,MSP,3858,DCA,3520,,0,M88 M90 319 738 320 DL,2009,MSP,3858,DEN,3751,,0,M90 320 DL,2009,MSP,3858,DFW,3670,,0,319 DL,2009,MSP,3858,DIK,7064,Y,0,CRJ DL,2009,MSP,3858,DLH,3598,Y,0,CRJ CR9 DL,2009,MSP,3858,DSM,3729,Y,0,CRJ CR9 DL,2009,MSP,3858,DTW,3645,,0,757 M90 M88 753 320 738 73H 319 DL,2009,MSP,3858,EWR,3494,,0,319 DL,2009,MSP,3858,FAR,4292,,0,320 DL,2009,MSP,3858,FCA,4127,Y,0,E75 CR9 DL,2009,MSP,3858,FLL,3533,,0,757 DL,2009,MSP,3858,FNT,4089,Y,0,CRJ DL,2009,MSP,3858,FSD,4009,,0,320 DL,2009,MSP,3858,FWA,4041,Y,0,CRJ DL,2009,MSP,3858,GEG,3467,,0,320 DL,2009,MSP,3858,GFK,3442,Y,0,CRJ DL,2009,MSP,3858,GRB,3653,Y,0,CR9 CRJ DL,2009,MSP,3858,GRR,3685,,0,320 319 M88 DL,2009,MSP,3858,GTF,3880,Y,0,E75 DL,2009,MSP,3858,HIB,3650,Y,0,CRJ DL,2009,MSP,3858,HLN,3504,Y,0,E75 DL,2009,MSP,3858,IAD,3714,Y,0,CR9 CR7 DL,2009,MSP,3858,IAH,3550,,0,319 E70 DL,2009,MSP,3858,ICT,3457,Y,0,CRJ DL,2009,MSP,3858,IMT,6837,Y,0,CRJ DL,2009,MSP,3858,IND,3585,,0,M90 320 ERJ M88 DL,2009,MSP,3858,INL,3535,Y,0,CRJ DL,2009,MSP,3858,ISN,3659,Y,0,CRJ DL,2009,MSP,3858,JAX,3712,Y,0,E75 CR9 E70 DL,2009,MSP,3858,JFK,3797,,0,319 M88 DL,2009,MSP,3858,LAN,3544,Y,0,CRJ DL,2009,MSP,3858,LAS,3877,,0,M90 757 320 738 DL,2009,MSP,3858,LAX,3484,,0,738 763 753 757 739 320 DL,2009,MSP,3858,LEX,4017,Y,0,CRJ DL,2009,MSP,3858,LGA,3697,,0,M88 319 320 738 DL,2009,MSP,3858,LHR,507,,0,764 DL,2009,MSP,3858,LNK,3543,Y,0,CRJ DL,2009,MSP,3858,LSE,4044,Y,0,CRJ DL,2009,MSP,3858,MBS,4128,Y,0,CRJ DL,2009,MSP,3858,MCI,3458,,0,320 319 M88 ERJ DL,2009,MSP,3858,MCO,3878,,0,757 753 DL,2009,MSP,3858,MDW,3747,Y,0,E75 E70 CR7 CR9 DL,2009,MSP,3858,MEM,3473,,0,M88 DL,2009,MSP,3858,MIA,3576,,0,320 M90 DL,2009,MSP,3858,MKE,3717,,0,M88 M90 320 319 DL,2009,MSP,3858,MLI,4072,Y,0,ERJ CRJ DL,2009,MSP,3858,MOT,3498,Y,0,CR9 CRJ E75 E70 DL,2009,MSP,3858,MSN,3459,,0,319 320 DL,2009,MSP,3858,MSO,4216,,0,319 DL,2009,MSP,3858,MSY,3861,Y,0,CR9 E75 DL,2009,MSP,3858,NRT,2279,,0,332 777 DL,2009,MSP,3858,OKC,3863,Y,0,CRJ DL,2009,MSP,3858,OMA,3454,,0,M88 319 320 DL,2009,MSP,3858,ORD,3830,,0,M90 M88 320 319 DL,2009,MSP,3858,ORF,3611,Y,0,CR7 DL,2009,MSP,3858,PDX,3720,,0,M90 753 738 DL,2009,MSP,3858,PHL,3752,,0,320 M90 DL,2009,MSP,3858,PHX,3462,,0,M90 320 757 319 DL,2009,MSP,3858,PIA,4046,Y,0,CRJ DL,2009,MSP,3858,PIT,3570,,0,319 320 DL,2009,MSP,3858,PSC,6133,Y,0,CR9 DL,2009,MSP,3858,PSP,3839,,0,320 DL,2009,MSP,3858,RAP,4087,Y,0,CRJ CR9 E75 DL,2009,MSP,3858,RDU,3626,,0,320 M90 M88 DL,2009,MSP,3858,RHI,5765,Y,0,CRJ DL,2009,MSP,3858,RIC,3608,Y,0,CR7 DL,2009,MSP,3858,ROC,3622,Y,0,CR7 DL,2009,MSP,3858,RST,4048,Y,0,CRJ DL,2009,MSP,3858,RSW,3793,,0,757 M90 DL,2009,MSP,3858,SAN,3731,,0,738 739 DL,2009,MSP,3858,SAT,3621,Y,0,CR9 E75 E70 DL,2009,MSP,3858,SBN,4359,Y,0,CRJ DL,2009,MSP,3858,SDF,4014,,0,ERJ DL,2009,MSP,3858,SEA,3577,,0,738 739 757 753 763 DL,2009,MSP,3858,SFO,3469,,0,320 753 M90 757 738 DL,2009,MSP,3858,SJC,3748,,0,320 738 DL,2009,MSP,3858,SLC,3536,,0,320 757 319 738 DL,2009,MSP,3858,SMF,3817,,0,320 DL,2009,MSP,3858,SNA,3867,,0,319 757 DL,2009,MSP,3858,STL,3678,,0,M90 319 320 M88 DL,2009,MSP,3858,SYR,3745,Y,0,CR9 E70 DL,2009,MSP,3858,TPA,3646,,0,M88 757 DL,2009,MSP,3858,TUL,3855,Y,0,CRJ DL,2009,MSP,3858,TUS,3636,,0,M90 DL,2009,MSP,3858,TVC,4023,Y,0,CRJ DL,2009,MSP,3858,TYS,3676,Y,0,CR9 DL,2009,MSP,3858,XNA,4356,Y,0,CRJ DL,2009,MSP,3858,YEG,49,Y,0,E75 DL,2009,MSP,3858,YQR,120,Y,0,CRJ DL,2009,MSP,3858,YUL,146,Y,0,CR9 DL,2009,MSP,3858,YVR,156,Y,0,E75 DL,2009,MSP,3858,YWG,160,Y,0,E70 CRJ CR9 DL,2009,MSP,3858,YXE,166,Y,0,E75 DL,2009,MSP,3858,YYC,178,,0,319 320 DL,2009,MSP,3858,YYZ,193,Y,0,CRJ DL,2009,MSY,3861,ATL,3682,,0,M90 757 M88 DL,2009,MSY,3861,CVG,3488,Y,0,ERJ DL,2009,MSY,3861,DTW,3645,,0,319 M88 DL,2009,MSY,3861,JFK,3797,Y,0,CR9 DL,2009,MSY,3861,LAX,3484,,0,319 DL,2009,MSY,3861,LGA,3697,,0,319 DL,2009,MSY,3861,MEM,3473,Y,0,CRJ ERJ DL,2009,MSY,3861,MSP,3858,Y,0,CR9 E75 DL,2009,MSY,3861,SLC,3536,,0,319 320 DL,2009,MTY,1825,ATL,3682,Y,0,CR9 DL,2009,MTY,1825,CUL,1792,,0,ER4 DL,2009,MTY,1825,CUU,1797,,0,ER4 DL,2009,MTY,1825,DTW,3645,,0,319 DL,2009,MTY,1825,GDL,1804,Y,0,ER4 DL,2009,MTY,1825,LAS,3877,,0,737 DL,2009,MTY,1825,SAT,3621,Y,0,ER4 DL,2009,MUC,346,ATL,3682,,0,764 DL,2009,MXP,1524,JFK,3797,,0,764 330 DL,2009,MYR,3515,ATL,3682,,0,M88 717 319 DL,2009,MYR,3515,BOS,3448,Y,0,E75 DL,2009,MYR,3515,DTW,3645,Y,0,E75 CR9 DL,2009,MYR,3515,LGA,3697,Y,0,E75 DL,2009,NAS,1953,ATL,3682,,0,M88 DL,2009,NAS,1953,BOS,3448,Y,0,E75 DL,2009,NAS,1953,DTW,3645,,0,M88 DL,2009,NAS,1953,JFK,3797,,0,M88 DL,2009,NCE,1354,JFK,3797,,0,764 DL,2009,NGO,3942,DTW,3645,,0,744 DL,2009,NGO,3942,GUM,2246,,0,752 DL,2009,NGO,3942,HNL,3728,,0,76W DL,2009,NGO,3942,MNL,2397,,0,744 DL,2009,NIM,280,CDG,1382,Y,0,332 DL,2009,NIM,280,OUA,246,Y,0,332 DL,2009,NRT,2279,ATL,3682,,0,744 DL,2009,NRT,2279,BKK,3885,,0,333 744 DL,2009,NRT,2279,DTW,3645,,0,777 DL,2009,NRT,2279,GUM,2246,,0,752 DL,2009,NRT,2279,HKG,3077,,0,332 777 DL,2009,NRT,2279,HNL,3728,,0,744 76W 333 DL,2009,NRT,2279,JFK,3797,,0,744 DL,2009,NRT,2279,LAX,3484,,0,744 DL,2009,NRT,2279,MNL,2397,,0,744 DL,2009,NRT,2279,MSP,3858,,0,332 777 DL,2009,NRT,2279,PDX,3720,,0,76W DL,2009,NRT,2279,PVG,3406,,0,76W DL,2009,NRT,2279,ROR,2256,,0,752 DL,2009,NRT,2279,SEA,3577,,0,333 DL,2009,NRT,2279,SIN,3316,,0,76W 777 DL,2009,NRT,2279,SPN,2244,,0,752 DL,2009,NRT,2279,TPE,2276,,0,744 DL,2009,OAJ,4386,ATL,3682,Y,0,CR9 CRJ DL,2009,OAK,3453,LAX,3484,Y,0,CR7 DL,2009,OAK,3453,SLC,3536,,0,320 319 DL,2009,OGG,3456,LAX,3484,,0,757 DL,2009,OGG,3456,SMF,3817,Y,0,73H DL,2009,OKC,3863,ATL,3682,,0,M88 DL,2009,OKC,3863,DTW,3645,Y,0,CR9 CR7 DL,2009,OKC,3863,MSP,3858,Y,0,CRJ DL,2009,OKC,3863,SLC,3536,Y,0,CR9 CR7 DL,2009,OMA,3454,ATL,3682,,0,M88 M90 DL,2009,OMA,3454,DCA,3520,Y,0,E70 DL,2009,OMA,3454,DTW,3645,,0,319 DL,2009,OMA,3454,LGA,3697,Y,0,E75 DL,2009,OMA,3454,MCO,3878,Y,0,E75 DL,2009,OMA,3454,MSP,3858,,0,320 M88 319 DL,2009,OMA,3454,SLC,3536,Y,0,E75 CR7 DL,2009,ONT,3734,GDL,1804,Y,0,738 DL,2009,ONT,3734,SLC,3536,,0,319 DL,2009,ORD,3830,AMS,580,Y,0,74M DL,2009,ORD,3830,ATL,3682,,0,717 M88 319 DL,2009,ORD,3830,CDG,1382,,0,332 DL,2009,ORD,3830,CVG,3488,,0,ERJ DL,2009,ORD,3830,DTW,3645,,0,717 DL,2009,ORD,3830,FCO,1555,,0,332 330 DL,2009,ORD,3830,GDL,1804,,0,737 DL,2009,ORD,3830,ICN,3930,Y,0,772 77W DL,2009,ORD,3830,JFK,3797,Y,0,CR9 DL,2009,ORD,3830,LGA,3697,Y,0,E75 E70 DL,2009,ORD,3830,LHR,507,Y,0,343 DL,2009,ORD,3830,MEM,3473,Y,0,CR9 CRJ DL,2009,ORD,3830,MEX,1824,,0,737 DL,2009,ORD,3830,MSP,3858,,0,M88 M90 320 319 DL,2009,ORD,3830,SLC,3536,Y,0,E75 CR9 DL,2009,ORD,3830,YVR,156,Y,0,73W DL,2009,ORD,3830,YYC,178,Y,0,73W DL,2009,ORF,3611,ATL,3682,,0,M90 M88 319 DL,2009,ORF,3611,DTW,3645,,0,ERJ DL,2009,ORF,3611,JFK,3797,,0,ERJ DL,2009,ORF,3611,LGA,3697,Y,0,CR7 DL,2009,ORF,3611,MCO,3878,Y,0,CR7 DL,2009,ORF,3611,MSP,3858,Y,0,CR7 DL,2009,OUA,246,NIM,280,Y,0,332 DL,2009,PAP,1897,ATL,3682,,0,320 DL,2009,PAP,1897,JFK,3797,,0,738 DL,2009,PAP,1897,MIA,3576,,0,32A 320 DL,2009,PBI,3722,ATL,3682,,0,M90 757 M88 DL,2009,PBI,3722,DTW,3645,,0,M90 320 DL,2009,PBI,3722,LGA,3697,,0,319 DL,2009,PDX,3720,AMS,580,,0,333 DL,2009,PDX,3720,ATL,3682,,0,739 738 73H DL,2009,PDX,3720,DTW,3645,,0,739 DL,2009,PDX,3720,JFK,3797,,0,73H 752 757 DL,2009,PDX,3720,LAX,3484,Y,0,CR7 CR9 DL,2009,PDX,3720,MSP,3858,,0,M90 753 738 DL,2009,PDX,3720,NRT,2279,,0,76W DL,2009,PDX,3720,SLC,3536,,0,757 320 73H DL,2009,PEK,3364,DTW,3645,,0,777 DL,2009,PEK,3364,SEA,3577,,0,76W DL,2009,PHC,275,ABV,260,Y,0,332 DL,2009,PHF,3633,ATL,3682,Y,0,CRJ DL,2009,PHL,3752,ATL,3682,,0,M88 M90 757 320 738 73H DL,2009,PHL,3752,CDG,1382,,0,752 DL,2009,PHL,3752,CVG,3488,,0,ERJ DL,2009,PHL,3752,DTW,3645,,0,M88 M90 319 73H 320 DL,2009,PHL,3752,JFK,3797,,0,ERJ DL,2009,PHL,3752,MSP,3858,,0,M90 320 DL,2009,PHL,3752,RDU,3626,Y,0,ERJ DL,2009,PHL,3752,SLC,3536,,0,320 DL,2009,PHX,3462,ATL,3682,,0,757 739 DL,2009,PHX,3462,DTW,3645,,0,757 320 753 DL,2009,PHX,3462,HMO,1807,,0,ER4 DL,2009,PHX,3462,JFK,3797,,0,738 73H DL,2009,PHX,3462,LAX,3484,Y,0,CR9 CR7 DL,2009,PHX,3462,MSP,3858,,0,738 M90 320 757 319 DL,2009,PHX,3462,SLC,3536,,0,757 320 73H 319 DL,2009,PIA,4046,ATL,3682,Y,0,CRJ DL,2009,PIA,4046,DTW,3645,Y,0,CRJ DL,2009,PIA,4046,MSP,3858,Y,0,CRJ DL,2009,PIH,5760,SLC,3536,Y,0,CRJ EM2 DL,2009,PIT,3570,ATL,3682,,0,M88 320 717 DL,2009,PIT,3570,CDG,1382,,0,752 DL,2009,PIT,3570,CVG,3488,,0,ERJ DL,2009,PIT,3570,DTW,3645,,0,M88 ERJ 320 CR7 DL,2009,PIT,3570,JFK,3797,,0,752 DL,2009,PIT,3570,LGA,3697,,0,CR7 DL,2009,PIT,3570,MCO,3878,Y,0,CR9 DL,2009,PIT,3570,MEM,3473,,0,ERJ DL,2009,PIT,3570,MSP,3858,,0,319 320 DL,2009,PIT,3570,PUJ,1760,,0,320 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DL,2009,SLC,3536,CPR,3872,Y,0,CRJ DL,2009,SLC,3536,CUN,1852,,0,320 DL,2009,SLC,3536,CVG,3488,,0,738 320 DL,2009,SLC,3536,DCA,3520,,0,757 73H 738 DL,2009,SLC,3536,DEN,3751,,0,320 DL,2009,SLC,3536,DFW,3670,,0,320 DL,2009,SLC,3536,DTW,3645,,0,320 738 757 73H 319 DL,2009,SLC,3536,EKO,5736,,0,EM2 DL,2009,SLC,3536,EUG,4099,Y,0,CRJ CR7 DL,2009,SLC,3536,EWR,3494,,0,320 DL,2009,SLC,3536,FAR,4292,Y,0,CR7 DL,2009,SLC,3536,FAT,3687,Y,0,CRJ CR9 DL,2009,SLC,3536,FCA,4127,Y,0,CRJ E75 DL,2009,SLC,3536,GCC,4296,Y,0,EM2 DL,2009,SLC,3536,GDL,1804,Y,0,CR9 DL,2009,SLC,3536,GEG,3467,,0,320 319 DL,2009,SLC,3536,GJT,4063,Y,0,CRJ DL,2009,SLC,3536,GTF,3880,Y,0,CRJ DL,2009,SLC,3536,HLN,3504,Y,0,CRJ DL,2009,SLC,3536,HNL,3728,,0,763 DL,2009,SLC,3536,IAH,3550,,0,319 DL,2009,SLC,3536,IDA,4100,Y,0,CRJ DL,2009,SLC,3536,IND,3585,,0,320 319 DL,2009,SLC,3536,JAC,4027,Y,0,CR7 DL,2009,SLC,3536,JFK,3797,,0,738 757 73H 752 DL,2009,SLC,3536,LAS,3877,,0,320 757 73H 738 DL,2009,SLC,3536,LAX,3484,,0,739 757 320 738 DL,2009,SLC,3536,LGB,3582,Y,0,CR7 CR9 DL,2009,SLC,3536,LWS,3945,Y,0,CRJ DL,2009,SLC,3536,MCI,3458,,0,319 DL,2009,SLC,3536,MCO,3878,,0,757 DL,2009,SLC,3536,MEM,3473,,0,320 DL,2009,SLC,3536,MFR,4101,Y,0,CRJ DL,2009,SLC,3536,MSN,3459,Y,0,CR7 DL,2009,SLC,3536,MSO,4216,Y,0,CRJ DL,2009,SLC,3536,MSP,3858,,0,320 319 757 738 DL,2009,SLC,3536,MSY,3861,,0,319 320 DL,2009,SLC,3536,OAK,3453,,0,319 320 DL,2009,SLC,3536,OKC,3863,Y,0,CR7 CR9 DL,2009,SLC,3536,OMA,3454,Y,0,CR7 E75 DL,2009,SLC,3536,ONT,3734,,0,319 DL,2009,SLC,3536,ORD,3830,Y,0,CR9 E75 DL,2009,SLC,3536,PDX,3720,,0,320 73H 757 DL,2009,SLC,3536,PHL,3752,,0,320 DL,2009,SLC,3536,PHX,3462,,0,320 738 73H 319 DL,2009,SLC,3536,PIH,5760,Y,0,EM2 CRJ DL,2009,SLC,3536,PSC,6133,Y,0,CR7 CRJ CR9 DL,2009,SLC,3536,PSP,3839,Y,0,CRJ DL,2009,SLC,3536,PVR,1836,Y,0,CR9 DL,2009,SLC,3536,RAP,4087,Y,0,CRJ DL,2009,SLC,3536,RDM,4103,Y,0,CRJ DL,2009,SLC,3536,RDU,3626,,0,320 73H DL,2009,SLC,3536,RKS,5766,Y,0,EM2 DL,2009,SLC,3536,RNO,3807,,0,73H DL,2009,SLC,3536,SAN,3731,,0,319 738 320 DL,2009,SLC,3536,SAT,3621,,0,320 DL,2009,SLC,3536,SEA,3577,,0,320 738 73H 757 739 DL,2009,SLC,3536,SFO,3469,,0,320 DL,2009,SLC,3536,SGU,4064,Y,0,CRJ DL,2009,SLC,3536,SJC,3748,,0,738 DL,2009,SLC,3536,SJD,1840,Y,0,CR9 DL,2009,SLC,3536,SMF,3817,,0,320 73H 738 DL,2009,SLC,3536,SNA,3867,,0,319 DL,2009,SLC,3536,STL,3678,,0,320 DL,2009,SLC,3536,TUL,3855,Y,0,CR7 DL,2009,SLC,3536,TUS,3636,Y,0,CRJ DL,2009,SLC,3536,TWF,4263,Y,0,EM2 DL,2009,SLC,3536,VEL,7076,Y,0,EM2 DL,2009,SLC,3536,YVR,156,Y,0,CR9 CR7 DL,2009,SLC,3536,YYC,178,Y,0,CR9 CR7 DL,2009,SMF,3817,ATL,3682,,0,757 DL,2009,SMF,3817,GDL,1804,Y,0,738 DL,2009,SMF,3817,LAX,3484,Y,0,CR7 CR9 DL,2009,SMF,3817,MSP,3858,,0,320 DL,2009,SMF,3817,SEA,3577,Y,0,73H DL,2009,SMF,3817,SLC,3536,,0,73H 320 738 DL,2009,SNA,3867,ATL,3682,,0,757 DL,2009,SNA,3867,MSP,3858,,0,319 DL,2009,SNA,3867,SLC,3536,,0,319 DL,2009,SNA,3867,YVR,156,Y,0,73W DL,2009,SPN,2244,NGO,3942,,0,752 DL,2009,SPN,2244,NRT,2279,,0,752 DL,2009,SRQ,4067,ATL,3682,,0,757 M90 DL,2009,SRQ,4067,LGA,3697,,0,319 DL,2009,STI,1764,JFK,3797,,0,73H DL,2009,STL,3678,ATL,3682,,0,M90 717 M88 319 DL,2009,STL,3678,CVG,3488,,0,CR7 DL,2009,STL,3678,DTW,3645,,0,CR7 320 717 DL,2009,STL,3678,JFK,3797,Y,0,CR9 CR7 DL,2009,STL,3678,LGA,3697,,0,CR7 DL,2009,STL,3678,MSP,3858,,0,M90 319 320 M88 DL,2009,STL,3678,SLC,3536,,0,320 DL,2009,STR,350,ATL,3682,,0,76W DL,2009,STT,2883,ATL,3682,,0,757 DL,2009,STT,2883,JFK,3797,,0,757 DL,2009,SVO,2985,IAD,3714,,0,763 DL,2009,SVO,2985,JFK,3797,,0,333 76W 77W DL,2009,SVO,2985,LAX,3484,,0,332 DL,2009,SVO,2985,MIA,3576,,0,332 DL,2009,SWF,3661,DTW,3645,Y,0,CRJ DL,2009,SXM,2899,ATL,3682,,0,757 DL,2009,SXM,2899,JFK,3797,,0,752 DL,2009,SYD,3361,LAX,3484,,0,77L DL,2009,SYR,3745,ATL,3682,,0,M88 DL,2009,SYR,3745,DTW,3645,,0,ERJ DL,2009,SYR,3745,JFK,3797,,0,ERJ DL,2009,SYR,3745,LGA,3697,,0,CR7 DL,2009,SYR,3745,MSP,3858,Y,0,CR9 E70 DL,2009,TGU,1776,ATL,3682,,0,73W DL,2009,TLH,3698,ATL,3682,,0,M88 319 717 DL,2009,TLV,1590,JFK,3797,,0,744 DL,2009,TPA,3646,ATL,3682,,0,757 739 M90 738 DL,2009,TPA,3646,CMH,3759,Y,0,E75 DL,2009,TPA,3646,CVG,3488,,0,M88 DL,2009,TPA,3646,DTW,3645,,0,757 M88 738 M90 DL,2009,TPA,3646,IND,3585,Y,0,E75 DL,2009,TPA,3646,JFK,3797,,0,738 M88 73H DL,2009,TPA,3646,LAX,3484,,0,320 DL,2009,TPA,3646,LGA,3697,,0,319 M88 DL,2009,TPA,3646,MSP,3858,,0,757 M88 320 DL,2009,TPA,3646,RDU,3626,Y,0,CR9 CRJ DL,2009,TPE,2276,LAX,3484,Y,0,744 DL,2009,TPE,2276,NRT,2279,,0,744 DL,2009,TPE,2276,SFO,3469,Y,0,744 DL,2009,TRI,4116,ATL,3682,,0,319 DL,2009,TUL,3855,ATL,3682,,0,M88 DL,2009,TUL,3855,DTW,3645,Y,0,CR7 DL,2009,TUL,3855,MSP,3858,Y,0,CRJ DL,2009,TUL,3855,SLC,3536,Y,0,CR7 DL,2009,TUS,3636,ATL,3682,,0,M90 DL,2009,TUS,3636,MSP,3858,,0,M90 DL,2009,TUS,3636,SLC,3536,Y,0,CRJ DL,2009,TVC,4023,DTW,3645,,0,717 ERJ DL,2009,TVC,4023,MSP,3858,Y,0,CRJ DL,2009,TWF,4263,SLC,3536,Y,0,EM2 DL,2009,TYS,3676,ATL,3682,,0,717 DL,2009,TYS,3676,DTW,3645,Y,0,CRJ DL,2009,TYS,3676,LGA,3697,Y,0,CRJ DL,2009,TYS,3676,MSP,3858,Y,0,CR9 DL,2009,UIO,2688,ATL,3682,,0,73W DL,2009,UVF,2894,ATL,3682,,0,738 73H 757 DL,2009,VCE,1551,JFK,3797,,0,764 DL,2009,VEL,7076,SLC,3536,Y,0,EM2 DL,2009,VLD,5776,ATL,3682,Y,0,CRJ DL,2009,VPS,3873,ATL,3682,,0,717 319 M88 DL,2009,VSA,1853,MEX,1824,Y,0,737 DL,2009,XNA,4356,ATL,3682,,0,717 DL,2009,XNA,4356,CVG,3488,Y,0,CRJ DL,2009,XNA,4356,DTW,3645,Y,0,CR7 DL,2009,XNA,4356,MSP,3858,Y,0,CRJ DL,2009,YEG,49,LAX,3484,Y,0,73H DL,2009,YEG,49,MSP,3858,Y,0,E75 DL,2009,YHZ,73,LGA,3697,Y,0,CR7 DL,2009,YOW,100,DTW,3645,Y,0,CRJ DL,2009,YQR,120,MSP,3858,Y,0,CRJ DL,2009,YUL,146,AMS,580,Y,0,M11 DL,2009,YUL,146,ATL,3682,Y,0,CR9 CR7 DL,2009,YUL,146,CDG,1382,Y,0,744 343 DL,2009,YUL,146,DTW,3645,,0,ERJ DL,2009,YUL,146,JFK,3797,,0,ERJ DL,2009,YUL,146,LGA,3697,,0,ERJ CR7 DL,2009,YUL,146,MSP,3858,Y,0,CR9 DL,2009,YVR,156,AMS,580,Y,0,333 DL,2009,YVR,156,HNL,3728,Y,0,73H DL,2009,YVR,156,LAS,3877,Y,0,73H 73W DL,2009,YVR,156,MSP,3858,Y,0,E75 DL,2009,YVR,156,ORD,3830,Y,0,73W DL,2009,YVR,156,SEA,3577,Y,0,DH4 DL,2009,YVR,156,SLC,3536,Y,0,CR9 CR7 DL,2009,YVR,156,SNA,3867,Y,0,73W DL,2009,YWG,160,MSP,3858,Y,0,CR9 CRJ E70 DL,2009,YXE,166,MSP,3858,Y,0,E75 DL,2009,YYC,178,AMS,580,Y,0,332 DL,2009,YYC,178,DFW,3670,Y,0,73W DL,2009,YYC,178,JFK,3797,Y,0,736 DL,2009,YYC,178,LAS,3877,Y,0,73H 73W DL,2009,YYC,178,LAX,3484,Y,0,73W DL,2009,YYC,178,MSP,3858,,0,319 DL,2009,YYC,178,ORD,3830,Y,0,73W DL,2009,YYC,178,SLC,3536,Y,0,CR7 CR9 DL,2009,YYZ,193,AMS,580,Y,0,M11 333 747 74M 332 DL,2009,YYZ,193,ATL,3682,,0, DL,2009,YYZ,193,CDG,1382,Y,0,772 DL,2009,YYZ,193,CVG,3488,Y,0,CRJ DL,2009,YYZ,193,DTW,3645,Y,0,CR7 CRJ DL,2009,YYZ,193,FCO,1555,Y,0,332 DL,2009,YYZ,193,FLL,3533,Y,0,73H 73W DL,2009,YYZ,193,JFK,3797,,0,CR7 ERJ DL,2009,YYZ,193,LAS,3877,Y,0,73H DL,2009,YYZ,193,LGA,3697,Y,0,736 73W DL,2009,YYZ,193,MCO,3878,Y,0,73H 73W DL,2009,YYZ,193,MSP,3858,Y,0,CRJ DL,2009,ZRH,1678,ATL,3682,,0,76W DN,17094,ABJ,253,COO,245,,0,320 DN,17094,ABJ,253,DKR,1084,,0,320 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DT,5133,BZV,883,LAD,951,,0,73G DT,5133,CAB,946,LAD,951,,0,732 73G DT,5133,CAB,946,SZA,958,,0,73G DT,5133,CBT,5630,LAD,951,,0,73G DT,5133,CBT,5630,VPE,5632,,0,73G DT,5133,CPT,797,LAD,951,,0,73G 772 DT,5133,DXB,2188,LAD,951,,0,772 DT,5133,GIG,2560,LAD,951,,0,77W DT,5133,GRU,2564,LAD,951,,0,77W DT,5133,HAV,1909,LAD,951,,0,772 DT,5133,HRE,1005,LUN,907,,0,73G DT,5133,JNB,813,LAD,951,,0,772 DT,5133,LAD,951,BZV,883,,0,73G DT,5133,LAD,951,CAB,946,,0,73G 732 DT,5133,LAD,951,CBT,5630,,0,73G DT,5133,LAD,951,CPT,797,,0,73G 772 DT,5133,LAD,951,DXB,2188,,0,772 DT,5133,LAD,951,GIG,2560,,0,77W DT,5133,LAD,951,GRU,2564,,0,77W DT,5133,LAD,951,HAV,1909,,0,772 DT,5133,LAD,951,HRE,1005,,0,73G DT,5133,LAD,951,JNB,813,,0,772 DT,5133,LAD,951,LIS,1638,,0,77W DT,5133,LAD,951,LUO,960,,0,73G DT,5133,LAD,951,MEG,952,,0,73G DT,5133,LAD,951,MSZ,5633,,0,73G DT,5133,LAD,951,NOV,948,,0,73G DT,5133,LAD,951,OPO,1636,,0,77W 772 DT,5133,LAD,951,PEK,3364,,0,772 DT,5133,LAD,951,SDD,959,,0,73G DT,5133,LAD,951,SPP,953,,0,73G DT,5133,LAD,951,SVP,949,,0,73G DT,5133,LAD,951,SZA,958,,0,732 73G DT,5133,LAD,951,TMS,973,,0,73G DT,5133,LAD,951,VHC,957,,0,73G 732 DT,5133,LAD,951,VPE,5632,,0,73G DT,5133,LAD,951,WDH,4105,,0,73G DT,5133,LIS,1638,LAD,951,,0,77W DT,5133,LUN,907,LAD,951,,0,73G DT,5133,LUO,960,LAD,951,,0,73G DT,5133,MEG,952,LAD,951,,0,73G DT,5133,MEG,952,VHC,957,,0,73G DT,5133,MSZ,5633,LAD,951,,0,73G DT,5133,NOV,948,LAD,951,,0,73G DT,5133,NOV,948,SPP,953,,0,73G DT,5133,NOV,948,VPE,5632,,0,73G DT,5133,OPO,1636,LAD,951,,0,77W 772 DT,5133,PEK,3364,LAD,951,,0,772 DT,5133,RAI,5674,TMS,973,,0,73G DT,5133,SDD,959,LAD,951,,0,73G DT,5133,SDD,959,VPE,5632,,0,73G DT,5133,SDD,959,WDH,4105,,0,73G DT,5133,SPP,953,LAD,951,,0,73G DT,5133,SPP,953,NOV,948,,0,73G DT,5133,SPP,953,VPE,5632,,0,73G DT,5133,SVP,949,LAD,951,,0,73G DT,5133,SVP,949,VPE,5632,,0,73G DT,5133,SZA,958,CAB,946,,0,732 73G DT,5133,SZA,958,LAD,951,,0,73G DT,5133,TMS,973,LAD,951,,0,73G DT,5133,TMS,973,RAI,5674,,0,73G DT,5133,VHC,957,LAD,951,,0,73G 732 DT,5133,VHC,957,MEG,952,,0,73G DT,5133,VPE,5632,CBT,5630,,0,73G DT,5133,VPE,5632,LAD,951,,0,73G DT,5133,VPE,5632,NOV,948,,0,73G DT,5133,VPE,5632,SDD,959,,0,73G DT,5133,VPE,5632,SPP,953,,0,73G DT,5133,VPE,5632,SVP,949,,0,73G DT,5133,WDH,4105,LAD,951,,0,73G DT,5133,WDH,4105,SDD,959,,0,73G DV,4840,AKX,2920,ALA,2908,,0,735 DV,4840,AKX,2920,DME,4029,,0,735 DV,4840,AKX,2920,SCO,4367,,0,CRJ 735 DV,4840,AKX,2920,TSE,2910,,0,CRJ DV,4840,ALA,2908,AKX,2920,,0,735 DV,4840,ALA,2908,CIT,2914,,0,735 DV,4840,ALA,2908,DMB,2911,,0,CRJ DV,4840,ALA,2908,DZN,6085,,0,CRJ DV,4840,ALA,2908,KGF,4375,,0,CRJ DV,4840,ALA,2908,KOV,6083,,0,CRJ DV,4840,ALA,2908,KSN,6088,,0,CRJ DV,4840,ALA,2908,PLX,2918,,0,CRJ DV,4840,ALA,2908,PPK,6084,,0,AN4 DV,4840,ALA,2908,SCO,4367,,0,735 DV,4840,ALA,2908,TSE,2910,,0,CRJ 735 DV,4840,ALA,2908,UKK,6086,,0,CRJ DV,4840,ASF,2966,SCO,4367,,0,CRJ DV,4840,BON,2896,CUR,2897,,0,BNI DV,4840,CIT,2914,ALA,2908,,0,735 DV,4840,CIT,2914,DME,4029,,0,735 DV,4840,CIT,2914,SCO,4367,,0,735 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DV,4840,SCO,4367,CIT,2914,,0,735 DV,4840,SCO,4367,DME,4029,,0,735 DV,4840,SCO,4367,EVN,3964,,0,CRJ DV,4840,SCO,4367,GUW,4357,,0,CRJ DV,4840,SCO,4367,GYD,2922,,0,CRJ DV,4840,SCO,4367,KRR,2960,,0,CRJ DV,4840,SCO,4367,KZO,4358,,0,AN4 DV,4840,SCO,4367,MCX,2961,,0,CRJ DV,4840,SCO,4367,MRV,2962,,0,CRJ DV,4840,SCO,4367,TBS,3973,,0,CRJ DV,4840,SCO,4367,TSE,2910,,0,735 DV,4840,SCO,4367,URA,2916,,0,AN4 DV,4840,SZI,9841,UKK,6086,,0,AN4 DV,4840,TBS,3973,SCO,4367,,0,CRJ DV,4840,TSE,2910,AKX,2920,,0,CRJ DV,4840,TSE,2910,ALA,2908,,0,735 CRJ DV,4840,TSE,2910,CIT,2914,,0,735 DV,4840,TSE,2910,DMB,2911,,0,CRJ DV,4840,TSE,2910,GUW,4357,,0,CRJ DV,4840,TSE,2910,PLX,2918,,0,CRJ DV,4840,TSE,2910,PPK,6084,,0,AN4 DV,4840,TSE,2910,SCO,4367,,0,735 DV,4840,TSE,2910,UKK,6086,,0,CRJ DV,4840,UKK,6086,ALA,2908,,0,CRJ DV,4840,UKK,6086,KGF,4375,,0,AN4 DV,4840,UKK,6086,PLX,2918,,0,AN4 DV,4840,UKK,6086,SZI,9841,,0,AN4 DV,4840,UKK,6086,TSE,2910,,0,CRJ DV,4840,URA,2916,SCO,4367,,0,AN4 DX,1954,AAL,628,BLL,608,,0,SF3 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DY,3737,AGP,1230,HAM,342,,0,73H DY,3737,AGP,1230,HEL,421,,0,73H DY,3737,AGP,1230,LGW,502,,0,73H DY,3737,AGP,1230,MUC,346,,0,73H DY,3737,AGP,1230,OSL,644,,0,73H DY,3737,AGP,1230,RYG,657,,0,73H DY,3737,AGP,1230,SVG,666,,0,73H DY,3737,AGP,1230,TRD,665,,0,73H DY,3737,AGP,1230,TRF,664,,0,73H DY,3737,AGP,1230,WAW,679,,0,73H DY,3737,AJA,1324,ARN,737,,0,73H DY,3737,AJA,1324,OSL,644,,0,73H DY,3737,ALC,1212,AAL,628,,0,73H DY,3737,ALC,1212,AES,630,,0,73H DY,3737,ALC,1212,ARN,737,,0,73H DY,3737,ALC,1212,BGO,636,,0,73H DY,3737,ALC,1212,BLL,608,,0,73H DY,3737,ALC,1212,CGN,344,,0,73H DY,3737,ALC,1212,CPH,609,,0,73H DY,3737,ALC,1212,EVE,641,,0,73H DY,3737,ALC,1212,GOT,687,,0,73H DY,3737,ALC,1212,HAM,342,,0,73H DY,3737,ALC,1212,HEL,421,,0,73H DY,3737,ALC,1212,KSD,5595,,0,73H DY,3737,ALC,1212,LGW,502,,0,73H DY,3737,ALC,1212,MOL,651,,0,73H DY,3737,ALC,1212,MUC,346,,0,73H DY,3737,ALC,1212,OSL,644,,0,73H DY,3737,ALC,1212,OUL,446,,0,73H DY,3737,ALC,1212,RYG,657,,0,73H DY,3737,ALC,1212,SVG,666,,0,73H DY,3737,ALC,1212,TKU,460,,0,73H DY,3737,ALC,1212,TOS,663,,0,73H DY,3737,ALC,1212,TRD,665,,0,73H DY,3737,ALC,1212,TRF,664,,0,73H DY,3737,ALC,1212,UME,728,,0,73H DY,3737,ALF,632,OSL,644,,0,733 DY,3737,ALF,632,TOS,663,,0,733 DY,3737,AMS,580,ARN,737,,0,73H DY,3737,AMS,580,CPH,609,,0,73H DY,3737,AMS,580,OSL,644,,0,73H DY,3737,ARN,737,AGP,1230,,0,73H DY,3737,ARN,737,AJA,1324,,0,73H DY,3737,ARN,737,ALC,1212,,0,73H DY,3737,ARN,737,AMS,580,,0,73H DY,3737,ARN,737,ATH,3941,,0,73H DY,3737,ARN,737,BCN,1218,,0,73H DY,3737,ARN,737,BEG,1739,,0,73H DY,3737,ARN,737,BGO,636,,0,73H DY,3737,ARN,737,BKK,3885,Y,0,788 DY,3737,ARN,737,BUD,1489,,0,73H DY,3737,ARN,737,CHQ,1474,,0,73H DY,3737,ARN,737,CPH,609,,0,73H DY,3737,ARN,737,CTA,1509,,0,73H DY,3737,ARN,737,DBV,1200,,0,73H DY,3737,ARN,737,EDI,535,,0,73H DY,3737,ARN,737,FAO,1626,,0,73H DY,3737,ARN,737,FCO,1555,,0,73H DY,3737,ARN,737,FLL,3533,Y,0,788 DY,3737,ARN,737,GOT,687,,0,73H DY,3737,ARN,737,HEL,421,,0,73H DY,3737,ARN,737,JFK,3797,Y,0,788 DY,3737,ARN,737,KRK,669,,0,73H DY,3737,ARN,737,KRN,724,,0,73H DY,3737,ARN,737,LAX,3484,Y,0,788 DY,3737,ARN,737,LCA,1197,,0,73H DY,3737,ARN,737,LGW,502,,0,73H DY,3737,ARN,737,LLA,734,,0,73H DY,3737,ARN,737,LPA,1054,,0,73H DY,3737,ARN,737,MAN,478,,0,73H DY,3737,ARN,737,MMX,708,,0,73H DY,3737,ARN,737,MUC,346,,0,73H DY,3737,ARN,737,NCE,1354,,0,73H DY,3737,ARN,737,OAK,3453,Y,0,788 DY,3737,ARN,737,OLB,1520,,0,73H DY,3737,ARN,737,ORY,1386,,0,73H DY,3737,ARN,737,OSL,644,,0,73H 733 DY,3737,ARN,737,PMI,3998,,0,73H DY,3737,ARN,737,PMO,1512,,0,73H DY,3737,ARN,737,PRG,1587,,0,73H DY,3737,ARN,737,PSA,1562,,0,73H DY,3737,ARN,737,RIX,3953,,0,73H DY,3737,ARN,737,SJJ,1646,,0,73H DY,3737,ARN,737,SPU,1206,,0,73H DY,3737,ARN,737,SXF,337,,0,73H DY,3737,ARN,737,TLV,1590,,0,73H DY,3737,ARN,737,UME,728,,0,73H DY,3737,ARN,737,VAA,462,,0,73H DY,3737,ARN,737,VCE,1551,,0,73H DY,3737,ARN,737,VNO,3959,,0,73H DY,3737,ATH,3941,ARN,737,,0,73H DY,3737,ATH,3941,CPH,609,,0,73H DY,3737,ATH,3941,HEL,421,,0,73H DY,3737,ATH,3941,OSL,644,,0,73H DY,3737,AYT,1688,BGO,636,,0,73H DY,3737,AYT,1688,OSL,644,,0,73H DY,3737,AYT,1688,TRD,665,,0,73H DY,3737,AYT,1688,TRF,664,,0,73H DY,3737,BCN,1218,ARN,737,,0,73H DY,3737,BCN,1218,BGO,636,,0,73H DY,3737,BCN,1218,CPH,609,,0,73H DY,3737,BCN,1218,GOT,687,,0,73H DY,3737,BCN,1218,HAM,342,,0,73H DY,3737,BCN,1218,HEL,421,,0,73H DY,3737,BCN,1218,LGW,502,,0,73H DY,3737,BCN,1218,OSL,644,,0,73H DY,3737,BCN,1218,SXF,337,,0,73H DY,3737,BCN,1218,TRF,664,,0,73H DY,3737,BCN,1218,WAW,679,,0,73H DY,3737,BDU,640,OSL,644,,0,733 DY,3737,BEG,1739,ARN,737,,0,73H DY,3737,BEG,1739,OSL,644,,0,733 DY,3737,BGO,636,AGP,1230,,0,73H DY,3737,BGO,636,ALC,1212,,0,73H DY,3737,BGO,636,ARN,737,,0,73H DY,3737,BGO,636,AYT,1688,,0,73H DY,3737,BGO,636,BCN,1218,,0,73H DY,3737,BGO,636,CHQ,1474,,0,73H DY,3737,BGO,636,CPH,609,,0,73H DY,3737,BGO,636,DBV,1200,,0,73H DY,3737,BGO,636,EDI,535,,0,73H DY,3737,BGO,636,FCO,1555,,0,73H DY,3737,BGO,636,JFK,3797,Y,0,788 DY,3737,BGO,636,KEF,16,,0,73H DY,3737,BGO,636,KRK,669,,0,73H DY,3737,BGO,636,LGW,502,,0,73H DY,3737,BGO,636,LPA,1054,,0,73H DY,3737,BGO,636,NCE,1354,,0,73H DY,3737,BGO,636,ORY,1386,,0,73H DY,3737,BGO,636,OSL,644,,0,73H 733 DY,3737,BGO,636,PMI,3998,,0,73H DY,3737,BGO,636,PRG,1587,,0,73H DY,3737,BGO,636,SVG,666,,0,73H DY,3737,BGO,636,SXF,337,,0,73H DY,3737,BGO,636,TRD,665,,0,73H DY,3737,BGO,636,TRF,664,,0,73H DY,3737,BIO,1216,OSL,644,,0,73H DY,3737,BKK,3885,ARN,737,Y,0,788 DY,3737,BKK,3885,OSL,644,Y,0,788 DY,3737,BLL,608,ALC,1212,,0,73H DY,3737,BLL,608,OSL,644,,0,733 73H DY,3737,BOJ,1191,CPH,609,,0,73H DY,3737,BOJ,1191,HEL,421,,0,73H DY,3737,BOJ,1191,OSL,644,,0,73H DY,3737,BOO,635,OSL,644,,0,73H DY,3737,BTS,1745,OSL,644,,0,73H 733 DY,3737,BUD,1489,ARN,737,,0,73H DY,3737,BUD,1489,CPH,609,,0,73H DY,3737,BUD,1489,HEL,421,,0,73H DY,3737,BUD,1489,LGW,502,,0,73H DY,3737,BUD,1489,OSL,644,,0,733 DY,3737,CGN,344,AGP,1230,,0,73H DY,3737,CGN,344,ALC,1212,,0,73H DY,3737,CGN,344,LPA,1054,,0,73H DY,3737,CGN,344,OSL,644,,0,73H DY,3737,CGN,344,TFS,1056,,0,73H DY,3737,CHQ,1474,ARN,737,,0,73H DY,3737,CHQ,1474,BGO,636,,0,73H DY,3737,CHQ,1474,CPH,609,,0,73H DY,3737,CHQ,1474,HEL,421,,0,73H DY,3737,CHQ,1474,OSL,644,,0,733 DY,3737,CPH,609,AAL,628,,0,73H AT7 DY,3737,CPH,609,AGP,1230,,0,73H DY,3737,CPH,609,ALC,1212,,0,73H DY,3737,CPH,609,AMS,580,,0,73H DY,3737,CPH,609,ARN,737,,0,73H DY,3737,CPH,609,ATH,3941,,0,73H DY,3737,CPH,609,BCN,1218,,0,73H DY,3737,CPH,609,BGO,636,,0,73H DY,3737,CPH,609,BOJ,1191,,0,73H DY,3737,CPH,609,BUD,1489,,0,73H DY,3737,CPH,609,CHQ,1474,,0,73H DY,3737,CPH,609,CTA,1509,,0,73H DY,3737,CPH,609,DUB,599,,0,73H DY,3737,CPH,609,EDI,535,,0,73H DY,3737,CPH,609,FAO,1626,,0,73H DY,3737,CPH,609,FCO,1555,,0,73H DY,3737,CPH,609,FLL,3533,Y,0,788 DY,3737,CPH,609,HEL,421,,0,73H DY,3737,CPH,609,JFK,3797,Y,0,788 DY,3737,CPH,609,KRK,669,,0,73H DY,3737,CPH,609,KRP,612,,0,AT7 DY,3737,CPH,609,LAX,3484,Y,0,788 DY,3737,CPH,609,LGW,502,,0,73H DY,3737,CPH,609,LIS,1638,,0,73H DY,3737,CPH,609,LPA,1054,,0,73H DY,3737,CPH,609,MAD,1229,,0,73H DY,3737,CPH,609,MLA,1606,,0,73H DY,3737,CPH,609,NCE,1354,,0,73H DY,3737,CPH,609,ORY,1386,,0,73H DY,3737,CPH,609,OSL,644,,0,73H 733 DY,3737,CPH,609,PMI,3998,,0,73H DY,3737,CPH,609,PRG,1587,,0,73H DY,3737,CPH,609,PSA,1562,,0,73H DY,3737,CPH,609,RAK,1075,,0,73H DY,3737,CPH,609,RIX,3953,,0,73H DY,3737,CPH,609,SPU,1206,,0,73H DY,3737,CPH,609,SXF,337,,0,73H DY,3737,CPH,609,TLV,1590,,0,73H DY,3737,CPH,609,TRD,665,,0,73H DY,3737,CPH,609,VCE,1551,,0,73H DY,3737,CPH,609,ZAG,1208,,0,73H DY,3737,CTA,1509,ARN,737,,0,73H DY,3737,CTA,1509,CPH,609,,0,73H DY,3737,CTA,1509,LGW,502,,0,73H DY,3737,DBV,1200,ARN,737,,0,73H DY,3737,DBV,1200,BGO,636,,0,73H DY,3737,DBV,1200,HEL,421,,0,73H DY,3737,DBV,1200,LGW,502,,0,73H DY,3737,DBV,1200,OSL,644,,0,73H DY,3737,DBV,1200,TRD,665,,0,73H DY,3737,DBV,1200,TRF,664,,0,73H DY,3737,DUB,599,CPH,609,,0,73H DY,3737,DUB,599,HEL,421,,0,73H DY,3737,DUB,599,OSL,644,,0,73H DY,3737,EDI,535,ARN,737,,0,73H DY,3737,EDI,535,BGO,636,,0,73H DY,3737,EDI,535,CPH,609,,0,73H DY,3737,EDI,535,OSL,644,,0,73H DY,3737,EVE,641,ALC,1212,,0,73H DY,3737,EVE,641,OSL,644,,0,73H 733 DY,3737,EVE,641,TRD,665,,0,73H DY,3737,FAO,1626,ARN,737,,0,73H DY,3737,FAO,1626,CPH,609,,0,73H DY,3737,FAO,1626,LGW,502,,0,73H DY,3737,FAO,1626,OSL,644,,0,73H DY,3737,FCO,1555,ARN,737,,0,73H DY,3737,FCO,1555,BGO,636,,0,73H DY,3737,FCO,1555,CPH,609,,0,73H DY,3737,FCO,1555,GOT,687,,0,73H DY,3737,FCO,1555,HEL,421,,0,73H DY,3737,FCO,1555,LGW,502,,0,73H DY,3737,FCO,1555,OSL,644,,0,73H 733 DY,3737,FLL,3533,ARN,737,Y,0,788 DY,3737,FLL,3533,CPH,609,Y,0,788 DY,3737,FLL,3533,OSL,644,Y,0,788 DY,3737,FUE,1051,LGW,502,,0,73H DY,3737,GDN,668,OSL,644,,0,73H 733 DY,3737,GOT,687,AGP,1230,,0,73H DY,3737,GOT,687,ALC,1212,,0,73H DY,3737,GOT,687,ARN,737,,0,73H DY,3737,GOT,687,BCN,1218,,0,73H DY,3737,GOT,687,FCO,1555,,0,73H DY,3737,GOT,687,LGW,502,,0,73H DY,3737,GOT,687,NCE,1354,,0,73H DY,3737,GVA,1665,OSL,644,,0,733 DY,3737,HAM,342,AGP,1230,,0,73H DY,3737,HAM,342,ALC,1212,,0,73H DY,3737,HAM,342,BCN,1218,,0,73H DY,3737,HAM,342,LPA,1054,,0,73H DY,3737,HAM,342,OSL,644,,0,73H DY,3737,HAM,342,TFS,1056,,0,73H DY,3737,HAU,645,OSL,644,,0,733 73H DY,3737,HEL,421,AGP,1230,,0,73H DY,3737,HEL,421,ALC,1212,,0,73H DY,3737,HEL,421,ARN,737,,0,73H DY,3737,HEL,421,ATH,3941,,0,73H DY,3737,HEL,421,BCN,1218,,0,73H DY,3737,HEL,421,BOJ,1191,,0,73H DY,3737,HEL,421,BUD,1489,,0,73H DY,3737,HEL,421,CHQ,1474,,0,73H DY,3737,HEL,421,CPH,609,,0,73H DY,3737,HEL,421,DBV,1200,,0,73H DY,3737,HEL,421,DUB,599,,0,73H DY,3737,HEL,421,FCO,1555,,0,73H DY,3737,HEL,421,LGW,502,,0,73H DY,3737,HEL,421,NCE,1354,,0,73H DY,3737,HEL,421,ORY,1386,,0,73H DY,3737,HEL,421,OSL,644,,0,73H DY,3737,HEL,421,OUL,446,,0,73H DY,3737,HEL,421,PMI,3998,,0,73H DY,3737,HEL,421,PRG,1587,,0,73H DY,3737,HEL,421,RVN,453,,0,73H DY,3737,HEL,421,SPU,1206,,0,73H DY,3737,IBZ,1225,LGW,502,,0,73H DY,3737,JFK,3797,ARN,737,Y,0,788 DY,3737,JFK,3797,BGO,636,Y,0,788 DY,3737,JFK,3797,CPH,609,Y,0,788 DY,3737,JFK,3797,OSL,644,Y,0,788 DY,3737,JTR,1479,LGW,502,,0,73H DY,3737,KBP,2939,OSL,644,,0,73H DY,3737,KEF,16,BGO,636,,0,73H DY,3737,KEF,16,OSL,644,,0,733 DY,3737,KKN,649,OSL,644,,0,733 DY,3737,KRK,669,ARN,737,,0,73H DY,3737,KRK,669,BGO,636,,0,73H DY,3737,KRK,669,CPH,609,,0,73H DY,3737,KRK,669,OSL,644,,0,73H DY,3737,KRK,669,SVG,666,,0,73H DY,3737,KRK,669,TRD,665,,0,73H DY,3737,KRN,724,ARN,737,,0,73H DY,3737,KRP,612,CPH,609,,0,AT7 DY,3737,KRS,638,OSL,644,,0,733 73H DY,3737,KSD,5595,ALC,1212,,0,73H DY,3737,LAX,3484,ARN,737,Y,0,788 DY,3737,LAX,3484,CPH,609,Y,0,788 DY,3737,LCA,1197,ARN,737,,0,73H DY,3737,LCA,1197,LGW,502,,0,73H DY,3737,LCA,1197,OSL,644,,0,73H DY,3737,LED,2948,OSL,644,,0,73H DY,3737,LGW,502,AAL,628,,0,73H DY,3737,LGW,502,ACE,1055,,0,73H DY,3737,LGW,502,AES,630,,0,73H DY,3737,LGW,502,AGP,1230,,0,73H DY,3737,LGW,502,ALC,1212,,0,73H DY,3737,LGW,502,ARN,737,,0,73H DY,3737,LGW,502,BCN,1218,,0,73H DY,3737,LGW,502,BGO,636,,0,73H DY,3737,LGW,502,BUD,1489,,0,73H DY,3737,LGW,502,CPH,609,,0,73H DY,3737,LGW,502,CTA,1509,,0,73H DY,3737,LGW,502,DBV,1200,,0,73H DY,3737,LGW,502,FAO,1626,,0,73H DY,3737,LGW,502,FCO,1555,,0,73H DY,3737,LGW,502,FUE,1051,,0,73H DY,3737,LGW,502,GOT,687,,0,73H DY,3737,LGW,502,HEL,421,,0,73H DY,3737,LGW,502,IBZ,1225,,0,73H DY,3737,LGW,502,JTR,1479,,0,73H DY,3737,LGW,502,LCA,1197,,0,73H DY,3737,LGW,502,LPA,1054,,0,73H DY,3737,LGW,502,NCE,1354,,0,73H DY,3737,LGW,502,OSL,644,,0,73H DY,3737,LGW,502,PMI,3998,,0,73H DY,3737,LGW,502,SPU,1206,,0,73H DY,3737,LGW,502,SVG,666,,0,73H DY,3737,LGW,502,TFS,1056,,0,73H DY,3737,LGW,502,TOS,663,,0,73H DY,3737,LGW,502,TRD,665,,0,73H DY,3737,LGW,502,TRF,664,,0,73H DY,3737,LIS,1638,CPH,609,,0,73H DY,3737,LIS,1638,OSL,644,,0,73H DY,3737,LLA,734,ARN,737,,0,73H DY,3737,LPA,1054,ARN,737,,0,73H DY,3737,LPA,1054,BGO,636,,0,73H DY,3737,LPA,1054,CGN,344,,0,73H DY,3737,LPA,1054,CPH,609,,0,73H DY,3737,LPA,1054,HAM,342,,0,73H DY,3737,LPA,1054,LGW,502,,0,73H DY,3737,LPA,1054,MUC,346,,0,73H DY,3737,LPA,1054,OSL,644,,0,73H DY,3737,LPA,1054,SXF,337,,0,73H DY,3737,LPA,1054,TRF,664,,0,73H DY,3737,LYR,658,OSL,644,,0,73H DY,3737,MAD,1229,CPH,609,,0,73H DY,3737,MAN,478,ARN,737,,0,73H DY,3737,MAN,478,OSL,644,,0,73H DY,3737,MAN,478,SVG,666,,0,73H DY,3737,MJV,1227,OSL,644,,0,733 DY,3737,MLA,1606,CPH,609,,0,73H DY,3737,MLA,1606,OSL,644,,0,73H DY,3737,MMX,708,ARN,737,,0,73H DY,3737,MOL,651,ALC,1212,,0,73H DY,3737,MOL,651,OSL,644,,0,733 73H DY,3737,MUC,346,AGP,1230,,0,73H DY,3737,MUC,346,ALC,1212,,0,73H DY,3737,MUC,346,ARN,737,,0,73H DY,3737,MUC,346,LPA,1054,,0,73H DY,3737,MUC,346,OSL,644,,0,73H DY,3737,MUC,346,TFS,1056,,0,73H DY,3737,MXP,1524,OSL,644,,0,733 73H DY,3737,NCE,1354,ARN,737,,0,73H DY,3737,NCE,1354,BGO,636,,0,73H DY,3737,NCE,1354,CPH,609,,0,73H DY,3737,NCE,1354,GOT,687,,0,73H DY,3737,NCE,1354,HEL,421,,0,73H DY,3737,NCE,1354,LGW,502,,0,73H DY,3737,NCE,1354,OSL,644,,0,73H DY,3737,NCE,1354,TRD,665,,0,73H DY,3737,NCE,1354,TRF,664,,0,73H DY,3737,OAK,3453,ARN,737,Y,0,788 DY,3737,OLB,1520,ARN,737,,0,73H DY,3737,ORY,1386,ARN,737,,0,73H DY,3737,ORY,1386,BGO,636,,0,73H DY,3737,ORY,1386,CPH,609,,0,73H DY,3737,ORY,1386,HEL,421,,0,73H DY,3737,ORY,1386,OSL,644,,0,73H 733 DY,3737,OSL,644,AES,630,,0,733 73H DY,3737,OSL,644,AGP,1230,,0,73H DY,3737,OSL,644,AJA,1324,,0,73H DY,3737,OSL,644,ALC,1212,,0,73H DY,3737,OSL,644,ALF,632,,0,733 DY,3737,OSL,644,AMS,580,,0,73H DY,3737,OSL,644,ARN,737,,0,73H 733 DY,3737,OSL,644,ATH,3941,,0,73H DY,3737,OSL,644,AYT,1688,,0,73H DY,3737,OSL,644,BCN,1218,,0,73H DY,3737,OSL,644,BDU,640,,0,733 DY,3737,OSL,644,BEG,1739,,0,733 DY,3737,OSL,644,BGO,636,,0,73H 733 DY,3737,OSL,644,BIO,1216,,0,73H DY,3737,OSL,644,BKK,3885,Y,0,788 DY,3737,OSL,644,BLL,608,,0,733 73H DY,3737,OSL,644,BOJ,1191,,0,73H DY,3737,OSL,644,BOO,635,,0,73H DY,3737,OSL,644,BTS,1745,,0,73H 733 DY,3737,OSL,644,BUD,1489,,0,733 DY,3737,OSL,644,CGN,344,,0,73H DY,3737,OSL,644,CHQ,1474,,0,733 DY,3737,OSL,644,CPH,609,,0,73H 733 DY,3737,OSL,644,DBV,1200,,0,73H DY,3737,OSL,644,DUB,599,,0,73H DY,3737,OSL,644,EDI,535,,0,73H DY,3737,OSL,644,EVE,641,,0,73H 733 DY,3737,OSL,644,FAO,1626,,0,73H DY,3737,OSL,644,FCO,1555,,0,73H 733 DY,3737,OSL,644,FLL,3533,Y,0,788 DY,3737,OSL,644,GDN,668,,0,73H 733 DY,3737,OSL,644,GVA,1665,,0,733 DY,3737,OSL,644,HAM,342,,0,73H DY,3737,OSL,644,HAU,645,,0,733 73H DY,3737,OSL,644,HEL,421,,0,73H DY,3737,OSL,644,JFK,3797,Y,0,788 DY,3737,OSL,644,KBP,2939,,0,73H DY,3737,OSL,644,KEF,16,,0,733 DY,3737,OSL,644,KKN,649,,0,733 DY,3737,OSL,644,KRK,669,,0,73H DY,3737,OSL,644,KRS,638,,0,733 73H DY,3737,OSL,644,LCA,1197,,0,73H DY,3737,OSL,644,LED,2948,,0,73H DY,3737,OSL,644,LGW,502,,0,73H DY,3737,OSL,644,LIS,1638,,0,73H DY,3737,OSL,644,LPA,1054,,0,73H DY,3737,OSL,644,LYR,658,,0,73H DY,3737,OSL,644,MAN,478,,0,73H DY,3737,OSL,644,MJV,1227,,0,733 DY,3737,OSL,644,MLA,1606,,0,73H DY,3737,OSL,644,MOL,651,,0,733 73H DY,3737,OSL,644,MUC,346,,0,73H DY,3737,OSL,644,MXP,1524,,0,733 73H DY,3737,OSL,644,NCE,1354,,0,73H DY,3737,OSL,644,ORY,1386,,0,73H 733 DY,3737,OSL,644,PLQ,3958,,0,733 DY,3737,OSL,644,PMI,3998,,0,73H DY,3737,OSL,644,PRG,1587,,0,73H 733 DY,3737,OSL,644,PSA,1562,,0,73H DY,3737,OSL,644,PUY,1203,,0,733 DY,3737,OSL,644,RAK,1075,,0,73H DY,3737,OSL,644,RIX,3953,,0,733 73H DY,3737,OSL,644,SPU,1206,,0,73H DY,3737,OSL,644,SVG,666,,0,73H 733 DY,3737,OSL,644,SXF,337,,0,73H DY,3737,OSL,644,SZZ,676,,0,733 DY,3737,OSL,644,TFS,1056,,0,73H DY,3737,OSL,644,TLL,415,,0,733 73H DY,3737,OSL,644,TOS,663,,0,73H 733 DY,3737,OSL,644,TRD,665,,0,733 73H DY,3737,OSL,644,VCE,1551,,0,733 DY,3737,OSL,644,VIE,1613,,0,733 DY,3737,OSL,644,VNO,3959,,0,73H 733 DY,3737,OSL,644,WAW,679,,0,733 73H DY,3737,OUL,446,ALC,1212,,0,73H DY,3737,OUL,446,HEL,421,,0,73H DY,3737,PLQ,3958,OSL,644,,0,733 DY,3737,PMI,3998,AAL,628,,0,73H DY,3737,PMI,3998,ARN,737,,0,73H DY,3737,PMI,3998,BGO,636,,0,73H DY,3737,PMI,3998,CPH,609,,0,73H DY,3737,PMI,3998,HEL,421,,0,73H DY,3737,PMI,3998,LGW,502,,0,73H DY,3737,PMI,3998,OSL,644,,0,73H DY,3737,PMI,3998,TRF,664,,0,73H DY,3737,PMO,1512,ARN,737,,0,73H DY,3737,PRG,1587,ARN,737,,0,73H DY,3737,PRG,1587,BGO,636,,0,73H DY,3737,PRG,1587,CPH,609,,0,73H DY,3737,PRG,1587,HEL,421,,0,73H DY,3737,PRG,1587,OSL,644,,0,73H 733 DY,3737,PSA,1562,ARN,737,,0,73H DY,3737,PSA,1562,CPH,609,,0,73H DY,3737,PSA,1562,OSL,644,,0,73H DY,3737,PUY,1203,OSL,644,,0,733 DY,3737,RAK,1075,CPH,609,,0,73H DY,3737,RAK,1075,OSL,644,,0,73H DY,3737,RIX,3953,ARN,737,,0,73H DY,3737,RIX,3953,CPH,609,,0,73H DY,3737,RIX,3953,OSL,644,,0,733 73H DY,3737,RIX,3953,TRD,665,,0,73H DY,3737,RVN,453,HEL,421,,0,73H DY,3737,RYG,657,AGP,1230,,0,73H DY,3737,RYG,657,ALC,1212,,0,73H DY,3737,SJJ,1646,ARN,737,,0,73H DY,3737,SPU,1206,ARN,737,,0,73H DY,3737,SPU,1206,CPH,609,,0,73H DY,3737,SPU,1206,HEL,421,,0,73H DY,3737,SPU,1206,LGW,502,,0,73H DY,3737,SPU,1206,OSL,644,,0,73H DY,3737,SVG,666,AGP,1230,,0,73H DY,3737,SVG,666,ALC,1212,,0,73H DY,3737,SVG,666,BGO,636,,0,73H DY,3737,SVG,666,KRK,669,,0,73H DY,3737,SVG,666,LGW,502,,0,73H DY,3737,SVG,666,MAN,478,,0,73H DY,3737,SVG,666,OSL,644,,0,73H 733 DY,3737,SVG,666,SXF,337,,0,73H DY,3737,SVG,666,WAW,679,,0,73H DY,3737,SXF,337,ARN,737,,0,73H DY,3737,SXF,337,BCN,1218,,0,73H DY,3737,SXF,337,BGO,636,,0,73H DY,3737,SXF,337,CPH,609,,0,73H DY,3737,SXF,337,LPA,1054,,0,73H DY,3737,SXF,337,OSL,644,,0,73H DY,3737,SXF,337,SVG,666,,0,73H DY,3737,SXF,337,TFS,1056,,0,73H DY,3737,SXF,337,TRD,665,,0,73H DY,3737,SZZ,676,OSL,644,,0,733 DY,3737,TFS,1056,CGN,344,,0,73H DY,3737,TFS,1056,HAM,342,,0,73H DY,3737,TFS,1056,LGW,502,,0,73H DY,3737,TFS,1056,MUC,346,,0,73H DY,3737,TFS,1056,OSL,644,,0,73H DY,3737,TFS,1056,SXF,337,,0,73H DY,3737,TKU,460,ALC,1212,,0,73H DY,3737,TLL,415,OSL,644,,0,733 73H DY,3737,TLV,1590,ARN,737,,0,73H DY,3737,TLV,1590,CPH,609,,0,73H DY,3737,TOS,663,ALC,1212,,0,73H DY,3737,TOS,663,ALF,632,,0,733 DY,3737,TOS,663,LGW,502,,0,73H DY,3737,TOS,663,OSL,644,,0,73H 733 DY,3737,TOS,663,TRD,665,,0,73H DY,3737,TRD,665,AGP,1230,,0,73H DY,3737,TRD,665,ALC,1212,,0,73H DY,3737,TRD,665,AYT,1688,,0,73H DY,3737,TRD,665,BGO,636,,0,73H DY,3737,TRD,665,CPH,609,,0,73H DY,3737,TRD,665,DBV,1200,,0,73H DY,3737,TRD,665,EVE,641,,0,73H DY,3737,TRD,665,KRK,669,,0,73H DY,3737,TRD,665,LGW,502,,0,73H DY,3737,TRD,665,NCE,1354,,0,73H DY,3737,TRD,665,OSL,644,,0,73H 733 DY,3737,TRD,665,RIX,3953,,0,73H DY,3737,TRD,665,SXF,337,,0,73H DY,3737,TRD,665,TOS,663,,0,73H DY,3737,TRD,665,TRF,664,,0,73H DY,3737,TRF,664,AGP,1230,,0,73H DY,3737,TRF,664,ALC,1212,,0,73H DY,3737,TRF,664,AYT,1688,,0,73H DY,3737,TRF,664,BCN,1218,,0,73H DY,3737,TRF,664,BGO,636,,0,73H DY,3737,TRF,664,DBV,1200,,0,73H DY,3737,TRF,664,LGW,502,,0,73H DY,3737,TRF,664,LPA,1054,,0,73H DY,3737,TRF,664,NCE,1354,,0,73H DY,3737,TRF,664,PMI,3998,,0,73H DY,3737,TRF,664,TRD,665,,0,73H DY,3737,UME,728,ALC,1212,,0,73H DY,3737,UME,728,ARN,737,,0,73H DY,3737,VAA,462,ARN,737,,0,73H DY,3737,VCE,1551,ARN,737,,0,73H DY,3737,VCE,1551,CPH,609,,0,73H DY,3737,VCE,1551,OSL,644,,0,733 DY,3737,VIE,1613,OSL,644,,0,733 DY,3737,VNO,3959,ARN,737,,0,73H DY,3737,VNO,3959,OSL,644,,0,73H 733 DY,3737,WAW,679,AGP,1230,,0,73H DY,3737,WAW,679,BCN,1218,,0,73H DY,3737,WAW,679,OSL,644,,0,733 73H DY,3737,WAW,679,SVG,666,,0,73H DY,3737,ZAG,1208,CPH,609,,0,73H DZ,11963,DLC,3404,NGB,3387,,0,738 DZ,11963,NGB,3387,DLC,3404,,0,738 DZ,11963,NGB,3387,SZX,3374,,0,738 DZ,11963,SZX,3374,NGB,3387,,0,738 E2,20047,ABJ,253,ACC,248,,0,M82 E2,20047,ABJ,253,FNA,1059,,0,M82 E2,20047,ABJ,253,ROB,1063,,0,M82 E2,20047,ACC,248,ABJ,253,,0,M82 E2,20047,ACC,248,FNA,1059,,0,M82 E2,20047,DKR,1084,FNA,1059,,0,M82 E2,20047,FNA,1059,ABJ,253,,0,M82 E2,20047,FNA,1059,ACC,248,,0,M82 E2,20047,FNA,1059,DKR,1084,,0,M82 E2,20047,FNA,1059,ROB,1063,,0,M82 E2,20047,ROB,1063,ABJ,253,,0,M82 E2,20047,ROB,1063,FNA,1059,,0,M82 E5,16963,AMM,2170,HBE,3410,,0,320 E5,16963,DMM,2064,HBE,3410,,0,320 E5,16963,HBE,3410,AMM,2170,,0,320 E5,16963,HBE,3410,DMM,2064,,0,320 E5,16963,HBE,3410,JED,2072,,0,320 E5,16963,HBE,3410,KWI,2176,,0,320 E5,16963,HBE,3410,RUH,2082,,0,320 E5,16963,JED,2072,HBE,3410,,0,320 E5,16963,KWI,2176,HBE,3410,,0,320 E5,16963,RUH,2082,HBE,3410,,0,320 E7,2217,BZV,883,PNR,886,,0,ERJ E7,2217,PNR,886,BZV,883,,0,ERJ E7,2217,PNR,886,POG,967,,0,ERJ E7,2217,POG,967,PNR,886,,0,ERJ E8,20160,CSX,3371,DMK,3157,,0,734 E8,20160,DMK,3157,CSX,3371,,0,734 E8,20160,DMK,3157,HKT,3179,,0,734 E8,20160,DMK,3157,KHN,3384,,0,734 E8,20160,HKT,3179,DMK,3157,,0,734 E8,20160,KHN,3384,DMK,3157,,0,734 E9,11806,CUN,1852,MAD,1229,,0,333 E9,11806,MAD,1229,CUN,1852,,0,333 E9,11806,MAD,1229,PUJ,1760,,0,333 E9,11806,PUJ,1760,MAD,1229,,0,333 EB,\N,CUN,1852,MAD,1229,,0,744 EB,\N,MAD,1229,BCN,1218,,0,744 EB,\N,MAD,1229,CUN,1852,,0,744 EB,\N,MAD,1229,PUJ,1760,,0,744 EB,\N,PUJ,1760,MAD,1229,,0,744 EF,2324,COQ,6795,ULN,3380,,0,DH4 EF,2324,MXV,6374,ULN,3380,,0,DH4 EF,2324,ULG,7470,ULN,3380,,0,DH4 EF,2324,ULN,3380,COQ,6795,,0,DH4 EF,2324,ULN,3380,MXV,6374,,0,DH4 EF,2324,ULN,3380,ULG,7470,,0,DH4 EF,2324,ULN,3380,ULO,7558,,0,DH4 EF,2324,ULO,7558,ULN,3380,,0,DH4 EG,2989,CIT,2914,LED,2948,,0,320 EG,2989,DMB,2911,DME,4029,,0,320 EG,2989,DMB,2911,SVX,2975,,0,320 EG,2989,DME,4029,KQT,\N,,0,320 EG,2989,DME,4029,TJU,7563,,0,320 EG,2989,KQT,\N,CIT,2914,,0,320 EG,2989,KQT,\N,DMB,2911,,0,320 EG,2989,KQT,\N,OVB,4078,,0,320 EG,2989,KQT,\N,REN,2991,,0,320 EG,2989,LED,2948,KQT,\N,,0,320 EG,2989,LED,2948,TJU,7563,,0,320 EG,2989,OVB,4078,KQT,\N,,0,320 EG,2989,REN,2991,KQT,\N,,0,320 EG,2989,SVX,2975,KQT,\N,,0,320 EG,2989,SVX,2975,TJU,7563,,0,320 EG,2989,TJU,7563,CIT,2914,,0,320 EG,2989,TJU,7563,DME,4029,,0,320 EG,2989,TJU,7563,SVX,2975,,0,320 EI,837,ABZ,532,DUB,599,Y,0,AT7 EI,837,ACE,1055,DUB,599,,0,320 EI,837,ACE,1055,ORK,596,,0,320 EI,837,ADB,1706,DUB,599,,0,320 EI,837,AGP,1230,BHD,467,,0,320 EI,837,AGP,1230,DUB,599,,0,330 320 EI,837,AGP,1230,ORK,596,,0,320 EI,837,AGP,1230,SNN,603,,0,320 EI,837,ALC,1212,DUB,599,,0,320 EI,837,ALC,1212,ORK,596,,0,320 EI,837,AMS,580,DUB,599,,0,320 EI,837,AMS,580,ORK,596,,0,320 EI,837,ARN,737,DUB,599,,0,320 EI,837,ATH,3941,DUB,599,,0,320 EI,837,ATL,3682,ORD,3830,Y,0,CR7 ERJ E70 EI,837,AUH,2179,DUB,599,Y,0,77W 332 EI,837,BCN,1218,DUB,599,,0,320 EI,837,BCN,1218,ORK,596,,0,320 EI,837,BHD,467,AGP,1230,,0,320 EI,837,BHD,467,FAO,1626,,0,320 EI,837,BHD,467,LGW,502,,0,320 319 EI,837,BHD,467,LHR,507,,0,319 EI,837,BHD,467,PMI,3998,,0,320 319 EI,837,BHX,469,DUB,599,,0,320 EI,837,BHX,469,ORK,596,Y,0,AT7 EI,837,BHX,469,SNN,603,Y,0,AT4 AT7 EI,837,BIO,1216,DUB,599,,0,320 EI,837,BLK,514,DUB,599,Y,0,AT4 EI,837,BLQ,1538,DUB,599,,0,320 EI,837,BOD,1264,DUB,599,,0,320 EI,837,BOH,494,DUB,599,Y,0,AT4 EI,837,BOJ,1191,DUB,599,,0,320 EI,837,BOS,3448,DUB,599,,0,332 330 EI,837,BOS,3448,SNN,603,,0,757 EI,837,BRS,490,DUB,599,Y,0,AT7 AT4 EI,837,BRS,490,ORK,596,Y,0,AT7 EI,837,BRS,490,SNN,603,Y,0,AT4 EI,837,BRU,302,DUB,599,,0,320 EI,837,BRU,302,ORK,596,,0,320 EI,837,BUD,1489,DUB,599,,0,320 EI,837,CDG,1382,DUB,599,,0,320 319 EI,837,CDG,1382,ORK,596,,0,320 EI,837,CFU,1460,DUB,599,,0,320 EI,837,CPH,609,DUB,599,,0,320 EI,837,CTA,1509,DUB,599,,0,320 EI,837,CWL,488,DUB,599,Y,0,AT7 EI,837,DBV,1200,DUB,599,,0,320 EI,837,DUB,599,ABZ,532,Y,0,AT7 EI,837,DUB,599,ACE,1055,,0,320 EI,837,DUB,599,ADB,1706,,0,320 EI,837,DUB,599,AGP,1230,,0,330 320 EI,837,DUB,599,ALC,1212,,0,320 EI,837,DUB,599,AMS,580,,0,320 EI,837,DUB,599,ARN,737,,0,320 EI,837,DUB,599,ATH,3941,,0,320 EI,837,DUB,599,AUH,2179,Y,0,77W 332 EI,837,DUB,599,BCN,1218,,0,320 EI,837,DUB,599,BHX,469,,0,320 EI,837,DUB,599,BIO,1216,,0,320 EI,837,DUB,599,BLK,514,Y,0,AT4 EI,837,DUB,599,BLQ,1538,,0,320 EI,837,DUB,599,BOD,1264,,0,320 EI,837,DUB,599,BOH,494,Y,0,AT4 EI,837,DUB,599,BOJ,1191,,0,320 EI,837,DUB,599,BOS,3448,,0,332 330 EI,837,DUB,599,BRS,490,Y,0,AT7 AT4 EI,837,DUB,599,BRU,302,,0,320 EI,837,DUB,599,BUD,1489,,0,320 EI,837,DUB,599,CDG,1382,,0,320 319 EI,837,DUB,599,CFU,1460,,0,320 EI,837,DUB,599,CPH,609,,0,320 EI,837,DUB,599,CTA,1509,,0,320 EI,837,DUB,599,CWL,488,Y,0,AT7 EI,837,DUB,599,DBV,1200,,0,320 EI,837,DUB,599,DUS,345,,0,320 EI,837,DUB,599,EDI,535,Y,0,AT7 EI,837,DUB,599,FAO,1626,,0,320 321 330 332 EI,837,DUB,599,FCO,1555,,0,320 EI,837,DUB,599,FRA,340,,0,320 EI,837,DUB,599,FUE,1051,,0,320 EI,837,DUB,599,GLA,534,Y,0,AT7 AT4 EI,837,DUB,599,GVA,1665,,0,320 EI,837,DUB,599,HAJ,352,,0,320 EI,837,DUB,599,HAM,342,,0,320 EI,837,DUB,599,IAD,3714,Y,0,752 EI,837,DUB,599,IBZ,1225,,0,320 EI,837,DUB,599,IOM,520,Y,0,AT4 EI,837,DUB,599,JER,499,Y,0,AT7 EI,837,DUB,599,JFK,3797,,0,330 EI,837,DUB,599,KIR,601,Y,0,AT4 EI,837,DUB,599,LGW,502,,0,320 319 EI,837,DUB,599,LHR,507,,0,320 EI,837,DUB,599,LIN,1529,,0,320 EI,837,DUB,599,LIS,1638,,0,320 EI,837,DUB,599,LPA,1054,,0,320 EI,837,DUB,599,LYS,1335,,0,320 EI,837,DUB,599,MAD,1229,,0,320 EI,837,DUB,599,MAN,478,,0,320 EI,837,DUB,599,MCO,3878,,0,330 332 EI,837,DUB,599,MRS,1353,,0,320 EI,837,DUB,599,MUC,346,,0,320 EI,837,DUB,599,MXP,1524,,0,320 EI,837,DUB,599,NAP,1561,,0,320 EI,837,DUB,599,NCE,1354,,0,320 EI,837,DUB,599,NCL,521,Y,0,AT7 EI,837,DUB,599,ORD,3830,,0,330 332 EI,837,DUB,599,PGF,1356,,0,320 EI,837,DUB,599,PMI,3998,,0,320 EI,837,DUB,599,PRG,1587,,0,320 EI,837,DUB,599,PUY,1203,,0,320 EI,837,DUB,599,SCQ,1243,,0,320 EI,837,DUB,599,SEN,508,Y,0,AT4 AT7 EI,837,DUB,599,SFO,3469,,0,332 EI,837,DUB,599,STR,350,,0,320 EI,837,DUB,599,SXF,337,,0,320 EI,837,DUB,599,TFS,1056,,0,320 EI,837,DUB,599,TLS,1273,,0,320 EI,837,DUB,599,VCE,1551,,0,320 EI,837,DUB,599,VIE,1613,,0,320 EI,837,DUB,599,VRN,1550,,0,320 EI,837,DUB,599,WAW,679,,0,320 EI,837,DUB,599,YYZ,193,,0,757 EI,837,DUB,599,ZRH,1678,,0,320 EI,837,DUS,345,DUB,599,,0,320 EI,837,EDI,535,DUB,599,Y,0,AT7 EI,837,EDI,535,ORK,596,Y,0,AT7 EI,837,EDI,535,SNN,603,Y,0,AT7 EI,837,FAO,1626,BHD,467,,0,320 EI,837,FAO,1626,DUB,599,,0,320 321 330 332 EI,837,FAO,1626,ORK,596,,0,320 EI,837,FAO,1626,SNN,603,,0,320 EI,837,FCO,1555,DUB,599,,0,320 EI,837,FRA,340,DUB,599,,0,320 EI,837,FUE,1051,DUB,599,,0,320 EI,837,GLA,534,DUB,599,Y,0,AT7 AT4 EI,837,GLA,534,ORK,596,Y,0,AT7 EI,837,GVA,1665,DUB,599,,0,320 EI,837,HAJ,352,DUB,599,,0,320 EI,837,HAM,342,DUB,599,,0,320 EI,837,IAD,3714,DUB,599,Y,0,752 EI,837,IBZ,1225,DUB,599,,0,320 EI,837,IOM,520,DUB,599,Y,0,AT4 EI,837,JER,499,DUB,599,Y,0,AT7 EI,837,JER,499,ORK,596,Y,0,AT7 EI,837,JFK,3797,DUB,599,,0,330 EI,837,JFK,3797,SNN,603,,0,757 EI,837,KIR,601,DUB,599,Y,0,AT4 EI,837,LGW,502,BHD,467,,0,320 319 EI,837,LGW,502,DUB,599,,0,320 EI,837,LGW,502,NOC,600,,0,319 EI,837,LHR,507,BHD,467,,0,319 EI,837,LHR,507,DUB,599,,0,320 EI,837,LHR,507,ORK,596,,0,320 EI,837,LHR,507,SNN,603,,0,320 EI,837,LIN,1529,DUB,599,,0,320 EI,837,LIS,1638,DUB,599,,0,320 EI,837,LIS,1638,ORK,596,,0,320 EI,837,LPA,1054,DUB,599,,0,320 EI,837,LYS,1335,DUB,599,,0,320 EI,837,MAD,1229,DUB,599,,0,320 EI,837,MAN,478,DUB,599,,0,320 EI,837,MAN,478,ORK,596,Y,0,AT7 EI,837,MAN,478,SNN,603,Y,0,AT7 AT4 EI,837,MCO,3878,DUB,599,,0,330 332 EI,837,MRS,1353,DUB,599,,0,320 EI,837,MSY,3861,ORD,3830,Y,0,320 EI,837,MUC,346,DUB,599,,0,320 EI,837,MUC,346,ORK,596,,0,320 EI,837,MXP,1524,DUB,599,,0,320 EI,837,NAP,1561,DUB,599,,0,320 EI,837,NCE,1354,DUB,599,,0,320 EI,837,NCE,1354,ORK,596,,0,320 EI,837,NCL,521,DUB,599,Y,0,AT7 EI,837,NCL,521,ORK,596,Y,0,AT7 EI,837,NOC,600,LGW,502,,0,319 EI,837,ORD,3830,ATL,3682,Y,0,CR7 E70 EI,837,ORD,3830,DUB,599,,0,330 332 EI,837,ORD,3830,MSY,3861,Y,0,ERJ EI,837,ORK,596,ACE,1055,,0,320 EI,837,ORK,596,AGP,1230,,0,320 EI,837,ORK,596,ALC,1212,,0,320 EI,837,ORK,596,AMS,580,,0,320 EI,837,ORK,596,BCN,1218,,0,320 EI,837,ORK,596,BHX,469,Y,0,AT7 EI,837,ORK,596,BRS,490,Y,0,AT7 EI,837,ORK,596,BRU,302,,0,320 EI,837,ORK,596,CDG,1382,,0,320 EI,837,ORK,596,EDI,535,Y,0,AT7 EI,837,ORK,596,FAO,1626,,0,320 EI,837,ORK,596,GLA,534,Y,0,AT7 EI,837,ORK,596,JER,499,Y,0,AT7 EI,837,ORK,596,LHR,507,,0,320 EI,837,ORK,596,LIS,1638,,0,320 EI,837,ORK,596,MAN,478,Y,0,AT7 EI,837,ORK,596,MUC,346,,0,320 EI,837,ORK,596,NCE,1354,,0,320 EI,837,ORK,596,NCL,521,Y,0,AT7 EI,837,ORK,596,PMI,3998,,0,320 EI,837,PGF,1356,DUB,599,,0,320 EI,837,PMI,3998,BHD,467,,0,320 319 EI,837,PMI,3998,DUB,599,,0,320 EI,837,PMI,3998,ORK,596,,0,320 EI,837,PRG,1587,DUB,599,,0,320 EI,837,PUY,1203,DUB,599,,0,320 EI,837,SCQ,1243,DUB,599,,0,320 EI,837,SEN,508,DUB,599,Y,0,AT4 AT7 EI,837,SFO,3469,DUB,599,,0,332 EI,837,SNN,603,AGP,1230,,0,320 EI,837,SNN,603,BHX,469,Y,0,AT4 AT7 EI,837,SNN,603,BOS,3448,,0,757 EI,837,SNN,603,BRS,490,Y,0,AT4 EI,837,SNN,603,EDI,535,Y,0,AT7 EI,837,SNN,603,FAO,1626,,0,320 EI,837,SNN,603,JFK,3797,,0,757 EI,837,SNN,603,LHR,507,,0,320 EI,837,SNN,603,MAN,478,Y,0,AT7 AT4 EI,837,STR,350,DUB,599,,0,320 EI,837,SXF,337,DUB,599,,0,320 EI,837,TFS,1056,DUB,599,,0,320 EI,837,TLS,1273,DUB,599,,0,320 EI,837,VCE,1551,DUB,599,,0,320 EI,837,VIE,1613,DUB,599,,0,320 EI,837,VRN,1550,DUB,599,,0,320 EI,837,WAW,679,DUB,599,,0,320 EI,837,YYZ,193,DUB,599,,0,757 EI,837,ZRH,1678,DUB,599,,0,320 EK,2183,ABJ,253,ACC,248,,0,77W EK,2183,ACC,248,ABJ,253,,0,77W EK,2183,ACC,248,DXB,2188,,0,77W EK,2183,ADD,1107,DXB,2188,,0,332 EK,2183,ADL,3341,DXB,2188,,0,77W EK,2183,AKL,2006,BNE,3320,,0,388 EK,2183,AKL,2006,MEL,3339,,0,388 EK,2183,AKL,2006,SYD,3361,,0,388 EK,2183,ALG,210,DXB,2188,,0,77W EK,2183,AMD,2994,DXB,2188,,0,332 EK,2183,AMM,2170,DXB,2188,,0,773 77W 772 EK,2183,AMS,580,DXB,2188,,0,388 EK,2183,ARN,737,DXB,2188,,0,77W EK,2183,ATH,3941,DXB,2188,,0,77W EK,2183,BAH,2057,DXB,2188,,0,332 772 773 EK,2183,BCN,1218,DXB,2188,,0,388 EK,2183,BEY,2177,DXB,2188,,0,773 EK,2183,BGW,4130,DXB,2188,,0,332 EK,2183,BHX,469,DXB,2188,,0,77W EK,2183,BKK,3885,DXB,2188,,0,388 77W EK,2183,BKK,3885,HKG,3077,,0,388 EK,2183,BKK,3885,SYD,3361,,0,77W EK,2183,BLR,3131,DXB,2188,,0,773 EK,2183,BNE,3320,AKL,2006,,0,388 EK,2183,BNE,3320,BKQ,4217,Y,0,DH4 EK,2183,BNE,3320,DXB,2188,,0,388 EK,2183,BNE,3320,LRE,6289,Y,0,DH4 EK,2183,BNE,3320,ROK,3329,Y,0,DH8 DH4 EK,2183,BNE,3320,SIN,3316,,0,77W EK,2183,BOM,2997,DXB,2188,,0,77W 772 73H 332 773 EK,2183,BOS,3448,DXB,2188,,0,77L EK,2183,BSR,2234,DXB,2188,,0,332 EK,2183,CAI,1128,DXB,2188,,0,773 772 EK,2183,CAN,3370,DXB,2188,,0,77W EK,2183,CCJ,3137,DXB,2188,,0,332 772 EK,2183,CCU,3043,DXB,2188,,0,332 EK,2183,CDG,1382,DXB,2188,,0,77W 388 EK,2183,CGK,3275,DXB,2188,,0,77W EK,2183,CHC,2009,SYD,3361,,0,77W EK,2183,CMB,3024,DXB,2188,,0,77W EK,2183,CMB,3024,MLE,3156,,0,773 EK,2183,CMN,1074,DXB,2188,,0,77W EK,2183,CNS,3322,GOV,6316,Y,0,717 EK,2183,COK,3136,DXB,2188,,0,772 773 332 EK,2183,CPH,609,DXB,2188,,0,77W EK,2183,CPT,797,DXB,2188,,0,77W EK,2183,DAC,3076,DXB,2188,,0,77W EK,2183,DAR,1177,DXB,2188,,0,773 EK,2183,DEL,3093,DXB,2188,,0,773 772 73H 77W EK,2183,DFW,3670,DXB,2188,,0,77L EK,2183,DKR,1084,DXB,2188,,0,343 EK,2183,DME,4029,DXB,2188,,0,388 EK,2183,DMM,2064,DXB,2188,,0,332 773 772 EK,2183,DOH,11051,DXB,2188,,0,772 77W 773 332 EK,2183,DRW,3999,ASP,3319,Y,0,717 EK,2183,DRW,3999,GOV,6316,Y,0,717 EK,2183,DUB,599,DXB,2188,,0,77W EK,2183,DUR,799,DXB,2188,,0,77W EK,2183,DUS,345,DXB,2188,,0,77W EK,2183,DXB,2188,ACC,248,,0,77W EK,2183,DXB,2188,ADD,1107,,0,332 EK,2183,DXB,2188,ADL,3341,,0,77W EK,2183,DXB,2188,ALG,210,,0,77W EK,2183,DXB,2188,AMD,2994,,0,332 EK,2183,DXB,2188,AMM,2170,,0,773 77W 772 EK,2183,DXB,2188,AMS,580,,0,388 EK,2183,DXB,2188,ARN,737,,0,77W EK,2183,DXB,2188,ATH,3941,,0,77W EK,2183,DXB,2188,BAH,2057,,0,332 772 773 EK,2183,DXB,2188,BCN,1218,,0,388 EK,2183,DXB,2188,BEY,2177,,0,773 EK,2183,DXB,2188,BGW,4130,,0,332 EK,2183,DXB,2188,BHX,469,,0,77W EK,2183,DXB,2188,BKK,3885,,0,388 77W EK,2183,DXB,2188,BLR,3131,,0,773 EK,2183,DXB,2188,BNE,3320,,0,388 EK,2183,DXB,2188,BOM,2997,,0,772 332 77W 73H 773 EK,2183,DXB,2188,BOS,3448,,0,77L EK,2183,DXB,2188,BSR,2234,,0,332 EK,2183,DXB,2188,CAI,1128,,0,773 772 EK,2183,DXB,2188,CAN,3370,,0,77W EK,2183,DXB,2188,CCJ,3137,,0,332 772 EK,2183,DXB,2188,CCU,3043,,0,332 EK,2183,DXB,2188,CDG,1382,,0,77W 388 EK,2183,DXB,2188,CGK,3275,,0,77W EK,2183,DXB,2188,CMB,3024,,0,77W EK,2183,DXB,2188,CMN,1074,,0,77W EK,2183,DXB,2188,COK,3136,,0,772 773 332 EK,2183,DXB,2188,CPH,609,,0,77W EK,2183,DXB,2188,CPT,797,,0,77W EK,2183,DXB,2188,DAC,3076,,0,77W EK,2183,DXB,2188,DAR,1177,,0,773 EK,2183,DXB,2188,DEL,3093,,0,772 73H 77W 773 EK,2183,DXB,2188,DFW,3670,,0,77L EK,2183,DXB,2188,DKR,1084,,0,343 EK,2183,DXB,2188,DME,4029,,0,388 EK,2183,DXB,2188,DMM,2064,,0,332 773 772 EK,2183,DXB,2188,DOH,11051,,0,772 77W 773 332 EK,2183,DXB,2188,DUB,599,,0,77W EK,2183,DXB,2188,DUR,799,,0,77W EK,2183,DXB,2188,DUS,345,,0,77W EK,2183,DXB,2188,EBB,1187,,0,345 EK,2183,DXB,2188,EBL,3989,,0,332 EK,2183,DXB,2188,FCO,1555,,0,388 77W EK,2183,DXB,2188,FRA,340,,0,77W EK,2183,DXB,2188,GIG,2560,,0,77W EK,2183,DXB,2188,GLA,534,,0,77W 77L EK,2183,DXB,2188,GRU,2564,,0,77W EK,2183,DXB,2188,GVA,1665,,0,77L 77W EK,2183,DXB,2188,HAM,342,,0,77W EK,2183,DXB,2188,HKG,3077,,0,388 77W EK,2183,DXB,2188,HKT,3179,,0,77W EK,2183,DXB,2188,HND,2359,,0,77L EK,2183,DXB,2188,HYD,\N,,0,772 332 EK,2183,DXB,2188,IAD,3714,,0,77W EK,2183,DXB,2188,IAH,3550,,0,77W EK,2183,DXB,2188,ICN,3930,,0,388 EK,2183,DXB,2188,IKA,4330,,0,772 77W 332 EK,2183,DXB,2188,ISB,2223,,0,77W EK,2183,DXB,2188,IST,1701,,0,77W EK,2183,DXB,2188,JED,2072,,0,388 EK,2183,DXB,2188,JFK,3797,,0,388 EK,2183,DXB,2188,JNB,813,,0,77W EK,2183,DXB,2188,KBL,2050,,0,345 EK,2183,DXB,2188,KBP,2939,,0,345 EK,2183,DXB,2188,KHI,2206,,0,77W EK,2183,DXB,2188,KIX,3992,,0,77W EK,2183,DXB,2188,KRT,1175,,0,332 EK,2183,DXB,2188,KUL,3304,,0,77W 773 EK,2183,DXB,2188,KWI,2176,,0,77W 772 332 773 EK,2183,DXB,2188,LAD,951,,0,77W 332 77L EK,2183,DXB,2188,LAX,3484,,0,388 EK,2183,DXB,2188,LCA,1197,,0,773 EK,2183,DXB,2188,LED,2948,,0,77L 77W EK,2183,DXB,2188,LGW,502,,0,77W 388 EK,2183,DXB,2188,LHE,2207,,0,77W EK,2183,DXB,2188,LHR,507,,0,388 EK,2183,DXB,2188,LIS,1638,,0,77W EK,2183,DXB,2188,LOS,273,,0,77W EK,2183,DXB,2188,LUN,907,,0,343 EK,2183,DXB,2188,LYS,1335,,0,77L EK,2183,DXB,2188,MAA,3144,,0,77W 772 332 773 EK,2183,DXB,2188,MAD,1229,,0,77W EK,2183,DXB,2188,MAN,478,,0,77W 388 EK,2183,DXB,2188,MCT,2194,,0,738 332 E75 73H 77W 772 E90 EK,2183,DXB,2188,MED,2074,,0,332 EK,2183,DXB,2188,MEL,3339,,0,388 EK,2183,DXB,2188,MLA,1606,,0,773 EK,2183,DXB,2188,MLE,3156,,0,773 77W EK,2183,DXB,2188,MNL,2397,,0,77W EK,2183,DXB,2188,MRU,893,,0,388 77W EK,2183,DXB,2188,MUC,346,,0,388 EK,2183,DXB,2188,MXP,1524,,0,77W 773 EK,2183,DXB,2188,NBO,4059,,0,77W 77L EK,2183,DXB,2188,NCE,1354,,0,77W EK,2183,DXB,2188,NCL,521,,0,77W EK,2183,DXB,2188,NRT,2279,,0,77W EK,2183,DXB,2188,PEK,3364,,0,388 77W EK,2183,DXB,2188,PER,3351,,0,77W EK,2183,DXB,2188,PEW,2219,,0,772 332 EK,2183,DXB,2188,PRG,1587,,0,77W EK,2183,DXB,2188,PVG,3406,,0,388 77W EK,2183,DXB,2188,RUH,2082,,0,77W 773 772 EK,2183,DXB,2188,SAH,3980,,0,332 EK,2183,DXB,2188,SEA,3577,,0,77W EK,2183,DXB,2188,SEZ,994,,0,77W EK,2183,DXB,2188,SFO,3469,,0,77W EK,2183,DXB,2188,SGN,3205,,0,772 EK,2183,DXB,2188,SIN,3316,,0,77W 388 EK,2183,DXB,2188,SKT,6776,,0,332 EK,2183,DXB,2188,SYD,3361,,0,388 EK,2183,DXB,2188,TPE,2276,,0,77W EK,2183,DXB,2188,TRV,3153,,0,332 EK,2183,DXB,2188,TUN,287,,0,773 EK,2183,DXB,2188,VCE,1551,,0,77W EK,2183,DXB,2188,VIE,1613,,0,77W EK,2183,DXB,2188,WAW,679,,0,332 EK,2183,DXB,2188,YYZ,193,,0,388 EK,2183,DXB,2188,ZRH,1678,,0,388 77W EK,2183,EBB,1187,DXB,2188,,0,345 EK,2183,EBL,3989,DXB,2188,,0,332 EK,2183,EZE,3988,GIG,2560,,0,77W EK,2183,FCO,1555,DXB,2188,,0,388 77W EK,2183,FRA,340,DXB,2188,,0,77W EK,2183,GIG,2560,DXB,2188,,0,77W EK,2183,GIG,2560,EZE,3988,,0,77W EK,2183,GLA,534,DXB,2188,,0,77W 77L EK,2183,GRU,2564,DXB,2188,,0,77W EK,2183,GVA,1665,DXB,2188,,0,77L 77W EK,2183,HAM,342,DXB,2188,,0,77W EK,2183,HKG,3077,BKK,3885,,0,388 EK,2183,HKG,3077,DXB,2188,,0,388 77W EK,2183,HKT,3179,DXB,2188,,0,77W EK,2183,HND,2359,DXB,2188,,0,77L EK,2183,HRE,1005,LUN,907,,0,343 EK,2183,HYD,\N,DXB,2188,,0,332 772 EK,2183,IAD,3714,DXB,2188,,0,77W EK,2183,IAH,3550,DXB,2188,,0,77W EK,2183,ICN,3930,DXB,2188,,0,388 EK,2183,IKA,4330,DXB,2188,,0,772 77W 332 EK,2183,ISB,2223,DXB,2188,,0,77W EK,2183,IST,1701,DXB,2188,,0,77W EK,2183,JED,2072,DXB,2188,,0,388 EK,2183,JFK,3797,DXB,2188,,0,388 EK,2183,JFK,3797,MXP,1524,,0,77W EK,2183,JNB,813,DXB,2188,,0,77W EK,2183,KBL,2050,DXB,2188,,0,345 EK,2183,KBP,2939,DXB,2188,,0,345 EK,2183,KHI,2206,DXB,2188,,0,77W EK,2183,KIX,3992,DXB,2188,,0,77W EK,2183,KRT,1175,DXB,2188,,0,332 EK,2183,KUL,3304,DXB,2188,,0,773 77W EK,2183,KUL,3304,MEL,3339,,0,77W EK,2183,KWI,2176,DXB,2188,,0,77W 772 332 773 EK,2183,LAD,951,DXB,2188,,0,77W 77L EK,2183,LAX,3484,DXB,2188,,0,388 EK,2183,LCA,1197,DXB,2188,,0,773 EK,2183,LCA,1197,MLA,1606,,0,773 EK,2183,LED,2948,DXB,2188,,0,77L 77W EK,2183,LGW,502,DXB,2188,,0,77W 388 EK,2183,LHE,2207,DXB,2188,,0,77W EK,2183,LHR,507,DXB,2188,,0,388 EK,2183,LIS,1638,DXB,2188,,0,77W EK,2183,LOS,273,DXB,2188,,0,77W EK,2183,LUN,907,DXB,2188,,0,343 EK,2183,LUN,907,HRE,1005,,0,343 EK,2183,LYS,1335,DXB,2188,,0,77L EK,2183,MAA,3144,DXB,2188,,0,332 77W 772 773 EK,2183,MAD,1229,DXB,2188,,0,77W EK,2183,MAN,478,DXB,2188,,0,77W 388 EK,2183,MCT,2194,DXB,2188,,0,738 332 E75 73H 77W 772 E90 73G EK,2183,MED,2074,DXB,2188,,0,332 EK,2183,MEL,3339,AKL,2006,,0,388 EK,2183,MEL,3339,DXB,2188,,0,388 EK,2183,MEL,3339,KUL,3304,,0,77W EK,2183,MEL,3339,SIN,3316,,0,77W EK,2183,MEL,3339,WLG,2042,Y,0,73H EK,2183,MLA,1606,LCA,1197,,0,773 EK,2183,MLA,1606,TIP,1157,,0,773 EK,2183,MLE,3156,CMB,3024,,0,773 EK,2183,MLE,3156,DXB,2188,,0,773 77W EK,2183,MNL,2397,DXB,2188,,0,77W EK,2183,MRU,893,DXB,2188,,0,388 77W EK,2183,MUC,346,DXB,2188,,0,388 EK,2183,MXP,1524,DXB,2188,,0,77W 773 EK,2183,MXP,1524,JFK,3797,,0,77W EK,2183,NBO,4059,DXB,2188,,0,77W 77L EK,2183,NCE,1354,DXB,2188,,0,77W EK,2183,NCL,521,DXB,2188,,0,77W EK,2183,NRT,2279,DXB,2188,,0,77W EK,2183,PEK,3364,DXB,2188,,0,77W 388 EK,2183,PER,3351,ASP,3319,Y,0,717 EK,2183,PER,3351,DXB,2188,,0,77W EK,2183,PER,3351,SIN,3316,Y,0,332 EK,2183,PEW,2219,DXB,2188,,0,772 332 EK,2183,PRG,1587,DXB,2188,,0,77W EK,2183,PVG,3406,DXB,2188,,0,388 77W EK,2183,ROK,3329,BNE,3320,Y,0,DH8 DH4 EK,2183,RUH,2082,DXB,2188,,0,77W 773 772 EK,2183,SAH,3980,DXB,2188,,0,332 EK,2183,SEA,3577,DXB,2188,,0,77W EK,2183,SEZ,994,DXB,2188,,0,77W EK,2183,SFO,3469,DXB,2188,,0,77W EK,2183,SGN,3205,DXB,2188,,0,772 EK,2183,SIN,3316,BNE,3320,,0,77W EK,2183,SIN,3316,DXB,2188,,0,77W 388 EK,2183,SIN,3316,MEL,3339,,0,77W EK,2183,SIN,3316,PER,3351,Y,0,332 EK,2183,SIN,3316,SYD,3361,Y,0,333 744 EK,2183,SKT,6776,DXB,2188,,0,332 EK,2183,SYD,3361,AKL,2006,,0,388 EK,2183,SYD,3361,BKK,3885,,0,77W EK,2183,SYD,3361,CHC,2009,,0,77W EK,2183,SYD,3361,DXB,2188,,0,388 EK,2183,SYD,3361,SIN,3316,Y,0,333 744 EK,2183,SYD,3361,WLG,2042,Y,0,73H EK,2183,SYD,3361,ZQN,2030,Y,0,73H EK,2183,TIP,1157,DXB,2188,,0,773 EK,2183,TPE,2276,DXB,2188,,0,77W EK,2183,TRV,3153,DXB,2188,,0,332 EK,2183,TUN,287,DXB,2188,,0,773 EK,2183,VCE,1551,DXB,2188,,0,77W EK,2183,VIE,1613,DXB,2188,,0,77W EK,2183,WAW,679,DXB,2188,,0,332 EK,2183,WLG,2042,MEL,3339,Y,0,73H EK,2183,WLG,2042,SYD,3361,Y,0,73H EK,2183,YYZ,193,DXB,2188,,0,388 EK,2183,ZQN,2030,SYD,3361,Y,0,73H EK,2183,ZRH,1678,DXB,2188,,0,388 77W EL,336,DME,4029,SKG,1486,,0,AR8 EL,336,DOK,2940,SKG,1486,,0,AR8 EL,336,ROV,2964,SKG,1486,,0,AR8 EL,336,SKG,1486,DME,4029,,0,AR8 EL,336,SKG,1486,DOK,2940,,0,AR8 EL,336,SKG,1486,ROV,2964,,0,AR8 EN,807,BRI,1501,MUC,346,,0,E95 EN,807,FLR,1563,MUC,346,,0,E95 EN,807,FRA,340,LIN,1529,,0,321 E90 320 319 32A EN,807,FRA,340,VRN,1550,,0,E95 EN,807,LIN,1529,FRA,340,,0,320 321 E90 319 32A EN,807,MUC,346,BRI,1501,,0,E95 EN,807,MUC,346,FLR,1563,,0,E95 EN,807,MUC,346,VCE,1551,,0,E95 EN,807,MUC,346,VRN,1550,,0,E95 EN,807,VCE,1551,MUC,346,,0,E95 EN,807,VRN,1550,FRA,340,,0,E95 EN,807,VRN,1550,MUC,346,,0,E95 EO,2293,CAI,1128,ELQ,2067,,0,320 EO,2293,CAI,1128,TIF,2090,,0,320 EO,2293,CAI,1128,TUU,2089,,0,320 EO,2293,CAI,1128,YNB,2096,,0,320 EO,2293,ELQ,2067,CAI,1128,,0,320 EO,2293,HBE,3410,JED,2072,,0,320 EO,2293,HBE,3410,KWI,2176,,0,320 EO,2293,JED,2072,HBE,3410,,0,320 EO,2293,KWI,2176,HBE,3410,,0,320 EO,2293,TIF,2090,CAI,1128,,0,320 EO,2293,TUU,2089,CAI,1128,,0,320 EO,2293,YNB,2096,CAI,1128,,0,320 EP,2923,ABD,2097,SYZ,2157,,0,100 EP,2923,ABD,2097,THR,2131,,0,100 EP,2923,ACZ,2165,MHD,4331,,0,100 EP,2923,ADU,5935,THR,2131,,0,AT7 100 EP,2923,AFZ,5931,THR,2131,,0,100 EP,2923,ARN,737,IKA,4330,,0,340 EP,2923,AWZ,2104,KWI,2176,,0,100 EP,2923,AWZ,2104,MHD,4331,,0,100 EP,2923,AWZ,2104,PGU,7546,,0,100 EP,2923,AWZ,2104,SYZ,2157,,0,100 EP,2923,AWZ,2104,THR,2131,,0,100 EP,2923,AZD,2164,BND,2134,,0,100 EP,2923,AZD,2164,MHD,4331,,0,100 EP,2923,AZD,2164,THR,2131,,0,100 EP,2923,BDH,2110,DXB,2188,,0,AT7 EP,2923,BJB,5930,THR,2131,,0,100 AT7 EP,2923,BND,2134,AZD,2164,,0,100 EP,2923,BND,2134,DXB,2188,,0,100 EP,2923,BND,2134,IFN,2121,,0,100 EP,2923,BND,2134,KIH,2109,,0,AT7 EP,2923,BND,2134,RAS,2123,,0,100 EP,2923,BND,2134,SYZ,2157,,0,100 EP,2923,BND,2134,THR,2131,,0,100 EP,2923,BUZ,2106,DXB,2188,,0,100 EP,2923,BUZ,2106,MHD,4331,,0,100 EP,2923,BUZ,2106,THR,2131,,0,100 EP,2923,BXR,5928,THR,2131,,0,100 EP,2923,DEF,\N,THR,2131,,0,AT7 100 EP,2923,DXB,2188,BDH,2110,,0,AT7 EP,2923,DXB,2188,BND,2134,,0,100 EP,2923,DXB,2188,BUZ,2106,,0,100 EP,2923,DXB,2188,IKA,4330,,0,343 EP,2923,DXB,2188,LFM,\N,,0,AT7 EP,2923,DXB,2188,LRR,5934,,0,100 AT7 EP,2923,DXB,2188,MHD,4331,,0,100 EP,2923,DXB,2188,SYZ,2157,,0,100 EP,2923,DXB,2188,TBZ,2162,,0,100 EP,2923,DXB,2188,ZAH,2167,,0,100 EP,2923,DXB,2188,ZBR,2166,,0,100 EP,2923,DYU,2979,IKA,4330,,0,100 EP,2923,DYU,2979,MHD,4331,,0,100 EP,2923,EVN,3964,IKA,4330,,0,100 EP,2923,GBT,6747,MHD,4331,,0,AT7 EP,2923,GBT,6747,THR,2131,,0,100 AT7 EP,2923,GBT,6747,ZAH,2167,,0,100 EP,2923,GCH,\N,THR,2131,,0,AT7 EP,2923,GSM,5712,SYZ,2157,,0,AT7 EP,2923,HDM,6790,MHD,4331,,0,100 EP,2923,HEA,2048,MHD,4331,,0,100 EP,2923,IFN,2121,BND,2134,,0,100 EP,2923,IFN,2121,MHD,4331,,0,100 EP,2923,IFN,2121,PGU,7546,,0,100 EP,2923,IFN,2121,THR,2131,,0,100 EP,2923,IIL,6748,THR,2131,,0,100 EP,2923,IKA,4330,ARN,737,,0,340 EP,2923,IKA,4330,DXB,2188,,0,340 EP,2923,IKA,4330,DYU,2979,,0,100 EP,2923,IKA,4330,EVN,3964,,0,100 EP,2923,IKA,4330,IST,1701,,0,340 EP,2923,IKA,4330,ISU,5952,,0,100 EP,2923,IKA,4330,KBL,2050,,0,100 EP,2923,IST,1701,IKA,4330,,0,340 EP,2923,ISU,5952,IKA,4330,,0,100 EP,2923,KBL,2050,IKA,4330,,0,100 EP,2923,KBL,2050,MHD,4331,,0,100 EP,2923,KDH,2051,MHD,4331,,0,100 EP,2923,KER,2136,SYZ,2157,,0,AT7 EP,2923,KHY,\N,THR,2131,,0,AT7 EP,2923,KIH,2109,BND,2134,,0,AT7 EP,2923,KIH,2109,SYZ,2157,,0,AT7 100 EP,2923,KSH,2114,THR,2131,,0,AT7 100 EP,2923,KWI,2176,AWZ,2104,,0,100 EP,2923,KWI,2176,LFM,\N,,0,AT7 EP,2923,KWI,2176,MHD,4331,,0,100 EP,2923,KWI,2176,SYZ,2157,,0,100 EP,2923,LFM,\N,DXB,2188,,0,AT7 EP,2923,LFM,\N,KWI,2176,,0,AT7 EP,2923,LFM,\N,SYZ,2157,,0,AT7 EP,2923,LRR,5934,DXB,2188,,0,100 AT7 EP,2923,LRR,5934,SYZ,2157,,0,AT7 EP,2923,MCT,2194,SYZ,2157,,0,100 EP,2923,MCT,2194,ZBR,2166,,0,100 EP,2923,MHD,4331,ACZ,2165,,0,100 EP,2923,MHD,4331,AWZ,2104,,0,100 EP,2923,MHD,4331,AZD,2164,,0,100 EP,2923,MHD,4331,BUZ,2106,,0,100 EP,2923,MHD,4331,DXB,2188,,0,100 EP,2923,MHD,4331,DYU,2979,,0,100 EP,2923,MHD,4331,GBT,6747,,0,AT7 EP,2923,MHD,4331,HDM,6790,,0,100 EP,2923,MHD,4331,HEA,2048,,0,100 EP,2923,MHD,4331,IFN,2121,,0,100 EP,2923,MHD,4331,KBL,2050,,0,100 EP,2923,MHD,4331,KDH,2051,,0,100 EP,2923,MHD,4331,KWI,2176,,0,100 EP,2923,MHD,4331,MZR,2053,,0,100 EP,2923,MHD,4331,NSH,5932,,0,100 EP,2923,MHD,4331,RAS,2123,,0,100 EP,2923,MHD,4331,RZR,2151,,0,AT7 EP,2923,MHD,4331,SYZ,2157,,0,100 EP,2923,MHD,4331,TBZ,2162,,0,100 EP,2923,MHD,4331,THR,2131,,0,100 EP,2923,MHD,4331,ZAH,2167,,0,100 EP,2923,MHD,4331,ZBR,2166,,0,100 EP,2923,MZR,2053,IKA,4330,,0,100 EP,2923,NSH,5932,MHD,4331,,0,100 EP,2923,NSH,5932,THR,2131,,0,AT7 EP,2923,OMH,5936,THR,2131,,0,100 EP,2923,PFQ,6749,THR,2131,,0,AT7 EP,2923,PGU,7546,AWZ,2104,,0,100 EP,2923,PGU,7546,IFN,2121,,0,100 EP,2923,PGU,7546,RAS,2123,,0,100 EP,2923,PGU,7546,SYZ,2157,,0,100 EP,2923,PGU,7546,THR,2131,,0,100 EP,2923,RAS,2123,BND,2134,,0,100 EP,2923,RAS,2123,MHD,4331,,0,100 EP,2923,RAS,2123,PGU,7546,,0,100 EP,2923,RAS,2123,SYZ,2157,,0,100 EP,2923,RAS,2123,THR,2131,,0,AT7 EP,2923,RZR,2151,MHD,4331,,0,AT7 EP,2923,RZR,2151,THR,2131,,0,AT7 EP,2923,SDG,2117,THR,2131,,0,100 EP,2923,SRY,5933,SYZ,2157,,0,100 EP,2923,SYZ,2157,ABD,2097,,0,100 EP,2923,SYZ,2157,AWZ,2104,,0,100 EP,2923,SYZ,2157,BND,2134,,0,100 EP,2923,SYZ,2157,DXB,2188,,0,100 EP,2923,SYZ,2157,GSM,5712,,0,AT7 EP,2923,SYZ,2157,KER,2136,,0,AT7 EP,2923,SYZ,2157,KIH,2109,,0,100 AT7 EP,2923,SYZ,2157,KWI,2176,,0,100 EP,2923,SYZ,2157,LFM,\N,,0,AT7 EP,2923,SYZ,2157,LRR,5934,,0,AT7 EP,2923,SYZ,2157,MCT,2194,,0,100 EP,2923,SYZ,2157,MHD,4331,,0,100 EP,2923,SYZ,2157,PGU,7546,,0,100 EP,2923,SYZ,2157,RAS,2123,,0,100 EP,2923,SYZ,2157,SRY,5933,,0,100 EP,2923,SYZ,2157,TBZ,2162,,0,100 EP,2923,SYZ,2157,THR,2131,,0,100 EP,2923,SYZ,2157,ZAH,2167,,0,100 EP,2923,TBZ,2162,DXB,2188,,0,100 EP,2923,TBZ,2162,MHD,4331,,0,100 EP,2923,TBZ,2162,SYZ,2157,,0,100 EP,2923,TBZ,2162,THR,2131,,0,100 EP,2923,THR,2131,ABD,2097,,0,100 EP,2923,THR,2131,ADU,5935,,0,AT7 100 EP,2923,THR,2131,AFZ,5931,,0,100 EP,2923,THR,2131,AWZ,2104,,0,100 EP,2923,THR,2131,AZD,2164,,0,100 EP,2923,THR,2131,BJB,5930,,0,100 AT7 EP,2923,THR,2131,BND,2134,,0,100 EP,2923,THR,2131,BUZ,2106,,0,100 EP,2923,THR,2131,BXR,5928,,0,100 EP,2923,THR,2131,DEF,\N,,0,AT7 100 EP,2923,THR,2131,GBT,6747,,0,100 AT7 EP,2923,THR,2131,GCH,\N,,0,AT7 EP,2923,THR,2131,IFN,2121,,0,100 EP,2923,THR,2131,IIL,6748,,0,100 EP,2923,THR,2131,KHY,\N,,0,AT7 EP,2923,THR,2131,KSH,2114,,0,AT7 100 EP,2923,THR,2131,MHD,4331,,0,100 EP,2923,THR,2131,NSH,5932,,0,AT7 EP,2923,THR,2131,OMH,5936,,0,100 EP,2923,THR,2131,PFQ,6749,,0,AT7 EP,2923,THR,2131,PGU,7546,,0,100 EP,2923,THR,2131,RAS,2123,,0,AT7 EP,2923,THR,2131,RZR,2151,,0,AT7 EP,2923,THR,2131,SDG,2117,,0,100 EP,2923,THR,2131,SYZ,2157,,0,100 EP,2923,THR,2131,TBZ,2162,,0,100 EP,2923,THR,2131,YES,7547,,0,AT7 EP,2923,THR,2131,ZAH,2167,,0,100 EP,2923,THR,2131,ZBR,2166,,0,100 EP,2923,YES,7547,THR,2131,,0,AT7 EP,2923,ZAH,2167,DXB,2188,,0,100 EP,2923,ZAH,2167,GBT,6747,,0,100 EP,2923,ZAH,2167,MHD,4331,,0,100 EP,2923,ZAH,2167,SYZ,2157,,0,100 EP,2923,ZAH,2167,THR,2131,,0,100 EP,2923,ZBR,2166,MCT,2194,,0,100 EP,2923,ZBR,2166,MHD,4331,,0,100 EP,2923,ZBR,2166,THR,2131,,0,100 EQ,4863,BOG,2709,CCS,2851,,0,E70 EQ,4863,BOG,2709,UIO,2688,,0,E70 EQ,4863,CCS,2851,BOG,2709,,0,E70 EQ,4863,CLO,2715,ESM,6047,,0,E70 EQ,4863,CUE,2671,GYE,2673,,0,320 E90 EQ,4863,CUE,2671,UIO,2688,,0,E90 EQ,4863,ESM,6047,CLO,2715,,0,E70 EQ,4863,ESM,6047,GYE,2673,,0,E70 EQ,4863,ESM,6047,UIO,2688,,0,E70 EQ,4863,ETR,2690,UIO,2688,,0,E70 EQ,4863,GPS,2672,GYE,2673,,0,320 EQ,4863,GRU,2564,UIO,2688,,0,E70 EQ,4863,GYE,2673,CUE,2671,,0,320 E90 EQ,4863,GYE,2673,ESM,6047,,0,E70 EQ,4863,GYE,2673,GPS,2672,,0,320 EQ,4863,GYE,2673,LOH,6046,,0,E90 EQ,4863,GYE,2673,LTX,2678,,0,E70 EQ,4863,GYE,2673,PTY,1871,,0,E90 EQ,4863,GYE,2673,SCY,6045,,0,320 EQ,4863,GYE,2673,UIO,2688,,0,320 EQ,4863,HAV,1909,UIO,2688,,0,E70 EQ,4863,LGQ,6750,UIO,2688,,0,E70 E90 EQ,4863,LIM,2789,UIO,2688,,0,E70 EQ,4863,LOH,6046,GYE,2673,,0,E90 EQ,4863,LOH,6046,UIO,2688,,0,E90 E70 EQ,4863,LTX,2678,GYE,2673,,0,E70 EQ,4863,LTX,2678,OCC,2670,,0,E70 EQ,4863,MEC,2683,UIO,2688,,0,E90 EQ,4863,OCC,2670,LTX,2678,,0,E70 EQ,4863,OCC,2670,UIO,2688,,0,E90 EQ,4863,PTY,1871,GYE,2673,,0,E90 EQ,4863,SCY,6045,GYE,2673,,0,320 EQ,4863,TNW,10792,UIO,2688,,0,E90 EQ,4863,UIO,2688,BOG,2709,,0,E70 EQ,4863,UIO,2688,CUE,2671,,0,319 EQ,4863,UIO,2688,ESM,6047,,0,320 EQ,4863,UIO,2688,ETR,2690,,0,E70 EQ,4863,UIO,2688,GRU,2564,,0,E70 EQ,4863,UIO,2688,GYE,2673,,0,320 EQ,4863,UIO,2688,HAV,1909,,0,E70 EQ,4863,UIO,2688,LGQ,6750,,0,E70 E90 EQ,4863,UIO,2688,LIM,2789,,0,E70 EQ,4863,UIO,2688,LOH,6046,,0,E90 EQ,4863,UIO,2688,MEC,2683,,0,E90 EQ,4863,UIO,2688,OCC,2670,,0,E90 EQ,4863,UIO,2688,TUA,2697,,0,E70 EQ,4863,UIO,2688,XMS,2680,,0,E90 EQ,4863,XMS,2680,TNW,10792,,0,E90 ET,2220,ABJ,253,CKY,4162,,0,DH8 ET,2220,ABJ,253,COO,245,,0,73W 752 ET,2220,ABJ,253,LFW,298,,0,DH8 ET,2220,ABJ,253,LOS,273,Y,0,DH8 ET,2220,ABJ,253,OUA,246,,0,752 ET,2220,ABV,260,ADD,1107,,0,77L ET,2220,ABV,260,COO,245,Y,0,DH8 ET,2220,ABV,260,LFW,298,Y,0,DH8 ET,2220,ABV,260,NDJ,999,Y,0,DH8 ET,2220,ABV,260,NIM,280,Y,0,DH8 ET,2220,ACC,248,ADD,1107,,0,738 ET,2220,ACC,248,FNA,1059,Y,0,DH8 ET,2220,ACC,248,LFW,298,Y,0,DH8 ET,2220,ACC,248,MLW,1062,Y,0,DH8 ET,2220,ADD,1107,ABV,260,,0,77L ET,2220,ADD,1107,ACC,248,,0,738 ET,2220,ADD,1107,AMH,1109,,0,DH8 ET,2220,ADD,1107,ASO,1119,,0,DH8 ET,2220,ADD,1107,AXU,1110,,0,DH8 ET,2220,ADD,1107,BEY,2177,,0,738 ET,2220,ADD,1107,BJR,1111,,0,DH8 ET,2220,ADD,1107,BKK,3885,,0,763 ET,2220,ADD,1107,BKO,1044,,0,763 ET,2220,ADD,1107,BOM,2997,,0,788 ET,2220,ADD,1107,CAI,1128,,0,73W 738 ET,2220,ADD,1107,CAN,3370,,0,77W ET,2220,ADD,1107,CDG,1382,,0,763 ET,2220,ADD,1107,COO,245,,0,73W 752 ET,2220,ADD,1107,DAR,1177,,0,738 73W ET,2220,ADD,1107,DEL,3093,,0,752 ET,2220,ADD,1107,DIR,1112,,0,DH8 73W ET,2220,ADD,1107,DLA,897,,0,763 ET,2220,ADD,1107,DMM,2064,,0,73W ET,2220,ADD,1107,DXB,2188,,0,77L 738 788 763 ET,2220,ADD,1107,EBB,1187,,0,763 73W ET,2220,ADD,1107,ENU,264,,0,752 ET,2220,ADD,1107,FBM,1038,,0,738 73W ET,2220,ADD,1107,FCO,1555,,0,763 ET,2220,ADD,1107,FIH,1020,,0,788 ET,2220,ADD,1107,FRA,340,,0,788 ET,2220,ADD,1107,GDQ,1114,,0,DH8 ET,2220,ADD,1107,GMB,1113,,0,DH8 ET,2220,ADD,1107,HGA,1121,,0,DH8 ET,2220,ADD,1107,HKG,3077,,0,788 ET,2220,ADD,1107,HRE,1005,,0,788 ET,2220,ADD,1107,JED,2072,,0,738 752 ET,2220,ADD,1107,JIB,4119,,0,DH8 73W ET,2220,ADD,1107,JIJ,7417,,0,DH8 ET,2220,ADD,1107,JIM,1116,,0,DH8 ET,2220,ADD,1107,JNB,813,,0,77L ET,2220,ADD,1107,JRO,1180,,0,763 ET,2220,ADD,1107,JUB,1173,,0,DH8 73W ET,2220,ADD,1107,KGL,1165,,0,738 ET,2220,ADD,1107,KRT,1175,,0,DH8 738 ET,2220,ADD,1107,KWI,2176,,0,738 ET,2220,ADD,1107,LAD,951,,0,77W ET,2220,ADD,1107,LBV,970,,0,738 ET,2220,ADD,1107,LFW,298,,0,788 73W ET,2220,ADD,1107,LHR,507,,0,788 77L ET,2220,ADD,1107,LLW,1016,,0,738 ET,2220,ADD,1107,LOS,273,,0,77L ET,2220,ADD,1107,LUN,907,,0,788 ET,2220,ADD,1107,MBA,1145,,0,738 DH8 ET,2220,ADD,1107,MCT,2194,,0,73W ET,2220,ADD,1107,MPM,979,,0,73W 738 ET,2220,ADD,1107,MQX,1118,,0,738 DH8 73W ET,2220,ADD,1107,NBO,4059,,0,763 738 ET,2220,ADD,1107,NDJ,999,,0,738 752 763 ET,2220,ADD,1107,NIM,280,,0,752 ET,2220,ADD,1107,OUA,246,,0,752 ET,2220,ADD,1107,PEK,3364,,0,77L ET,2220,ADD,1107,PNR,886,,0,738 ET,2220,ADD,1107,PVG,3406,,0,788 77L ET,2220,ADD,1107,RUH,2082,,0,738 ET,2220,ADD,1107,SSG,891,,0,763 ET,2220,ADD,1107,SZE,9827,,0,DH8 ET,2220,ADD,1107,TLV,1590,,0,763 ET,2220,ADL,3341,SIN,3316,,0,333 ET,2220,AKL,2006,SIN,3316,,0,77W ET,2220,AMH,1109,ADD,1107,,0,DH8 ET,2220,AMS,580,FRA,340,Y,0,32A 319 ET,2220,ARN,737,ADD,1107,,0,752 ET,2220,ARN,737,CPH,609,,0,320 ET,2220,ARN,737,FRA,340,Y,0,321 32A ET,2220,ARN,737,HEL,421,,0,717 ET,2220,ARN,737,OSL,644,,0,738 736 73W ET,2220,ASO,1119,ADD,1107,,0,DH8 ET,2220,AXU,1110,ADD,1107,,0,DH8 ET,2220,AXU,1110,LLI,1117,,0,DH8 ET,2220,BCN,1218,FRA,340,Y,0,321 ET,2220,BEY,2177,ADD,1107,,0,738 ET,2220,BGF,888,DLA,897,Y,0,73W ET,2220,BJM,1120,KGL,1165,,0,738 ET,2220,BJR,1111,ADD,1107,,0,DH8 ET,2220,BJR,1111,LLI,1117,,0,DH8 ET,2220,BKK,3885,ADD,1107,,0,763 ET,2220,BKK,3885,ICN,3930,Y,0,333 772 ET,2220,BKK,3885,KUL,3304,,0,763 ET,2220,BKK,3885,SIN,3316,,0,772 763 ET,2220,BKO,1044,ADD,1107,,0,763 ET,2220,BKO,1044,CKY,4162,Y,0,DH8 ET,2220,BKO,1044,DKR,1084,,0,763 ET,2220,BKO,1044,LFW,298,Y,0,73W ET,2220,BKO,1044,OUA,246,Y,0,DH8 ET,2220,BLZ,1013,ADD,1107,,0,738 ET,2220,BLZ,1013,JNB,813,,0,738 ET,2220,BLZ,1013,LLW,1016,,0,738 ET,2220,BNE,3320,SIN,3316,,0,333 ET,2220,BOM,2997,ADD,1107,,0,788 ET,2220,BRU,302,CDG,1382,,0,763 ET,2220,BRU,302,FRA,340,Y,0,319 320 733 32A ET,2220,BUD,1489,FRA,340,Y,0,321 32A ET,2220,BZV,883,ADD,1107,,0,788 ET,2220,BZV,883,DLA,897,Y,0,DH8 ET,2220,CAI,1128,ADD,1107,,0,73W 738 ET,2220,CAI,1128,LCA,1197,Y,0,E70 ET,2220,CAN,3370,ADD,1107,,0,77W ET,2220,CDG,1382,ADD,1107,,0,763 ET,2220,CDG,1382,BRU,302,,0,763 ET,2220,CHC,2009,SIN,3316,,0,772 ET,2220,CKY,4162,ABJ,253,,0,DH8 ET,2220,CKY,4162,BKO,1044,Y,0,DH8 ET,2220,CKY,4162,DKR,1084,Y,0,73W ET,2220,CKY,4162,LFW,298,Y,0,73W ET,2220,CKY,4162,OXB,5665,,0,DH8 ET,2220,COO,245,ABJ,253,,0,73W 752 ET,2220,COO,245,ABV,260,Y,0,DH8 ET,2220,COO,245,ADD,1107,,0,73W 752 ET,2220,COO,245,LFW,298,Y,0,DH8 ET,2220,COO,245,NIM,280,Y,0,DH8 ET,2220,CPH,609,ARN,737,,0,321 ET,2220,CPH,609,FRA,340,Y,0,321 320 ET,2220,DAR,1177,ADD,1107,,0,738 ET,2220,DAR,1177,LLW,1016,,0,DH8 ET,2220,DAR,1177,ZNZ,1186,,0,73W ET,2220,DEL,3093,ADD,1107,,0,752 ET,2220,DIR,1112,ADD,1107,,0,DH8 73W ET,2220,DIR,1112,JIB,4119,,0,73W DH8 ET,2220,DIR,1112,JIJ,7417,,0,DH8 ET,2220,DKR,1084,BKO,1044,,0,763 ET,2220,DKR,1084,CKY,4162,Y,0,73W ET,2220,DLA,897,ADD,1107,,0,763 ET,2220,DLA,897,BGF,888,Y,0,73W ET,2220,DLA,897,BZV,883,Y,0,DH8 ET,2220,DLA,897,LFW,298,Y,0,73W DH8 ET,2220,DLA,897,NDJ,999,Y,0,73W ET,2220,DLA,897,SSG,891,,0,763 ET,2220,DMM,2064,ADD,1107,,0,73W ET,2220,DUS,345,FRA,340,Y,0,319 320 321 ET,2220,DXB,2188,ADD,1107,,0,77L 738 788 763 ET,2220,DXB,2188,SIN,3316,Y,0,77W 333 ET,2220,EBB,1187,ADD,1107,,0,763 ET,2220,EBB,1187,KGL,1165,,0,73W ET,2220,ENU,264,ADD,1107,,0,752 ET,2220,FBM,1038,NLA,910,,0,738 ET,2220,FCO,1555,ADD,1107,,0,763 ET,2220,FCO,1555,MXP,1524,,0,763 ET,2220,FIH,1020,BZV,883,,0,788 ET,2220,FIH,1020,LBV,970,Y,0,73W ET,2220,FNA,1059,ACC,248,Y,0,DH8 ET,2220,FNA,1059,MLW,1062,Y,0,DH8 ET,2220,FRA,340,ADD,1107,,0,788 ET,2220,FRA,340,AMS,580,Y,0,733 ET,2220,FRA,340,ARN,737,Y,0,32A 321 ET,2220,FRA,340,BCN,1218,Y,0,321 ET,2220,FRA,340,BRU,302,Y,0,735 733 ET,2220,FRA,340,BUD,1489,Y,0,733 735 ET,2220,FRA,340,CPH,609,Y,0,319 321 320 ET,2220,FRA,340,DUS,345,Y,0,319 320 321 ET,2220,FRA,340,GOT,687,Y,0,32A 321 ET,2220,FRA,340,GVA,1665,Y,0,E90 CR7 ET,2220,FRA,340,HEL,421,Y,0,32A 321 320 ET,2220,FRA,340,JED,2072,Y,0,333 ET,2220,FRA,340,JFK,3797,Y,0,388 ET,2220,FRA,340,LIS,1638,Y,0,321 32A ET,2220,FRA,340,LYS,1335,Y,0,319 321 ET,2220,FRA,340,MAD,1229,Y,0,321 319 32A ET,2220,FRA,340,MRS,1353,Y,0,320 32A 319 ET,2220,FRA,340,MUC,346,Y,0,320 319 ET,2220,FRA,340,MXP,1524,Y,0,320 319 321 ET,2220,FRA,340,OSL,644,Y,0,32A ET,2220,FRA,340,OTP,1657,Y,0,32A 320 319 ET,2220,FRA,340,PRG,1587,Y,0,321 ET,2220,FRA,340,TLS,1273,Y,0,733 ET,2220,FRA,340,TXL,351,Y,0,321 320 32A ET,2220,FRA,340,VIE,1613,Y,0,321 ET,2220,FRA,340,WAW,679,Y,0,321 320 32A 319 ET,2220,FRA,340,ZRH,1678,Y,0,319 ET,2220,GDE,5680,JIJ,7417,,0,DH8 ET,2220,GDQ,1114,ADD,1107,,0,DH8 ET,2220,GDQ,1114,LLI,1117,,0,DH8 ET,2220,GIG,2560,GRU,2564,,0,788 ET,2220,GMB,1113,ADD,1107,,0,DH8 ET,2220,GMB,1113,ASO,1119,,0,DH8 ET,2220,GOT,687,FRA,340,Y,0,319 733 ET,2220,GRU,2564,LFW,298,,0,788 ET,2220,GVA,1665,FRA,340,Y,0,735 ET,2220,HEL,421,ARN,737,,0,717 ET,2220,HEL,421,FRA,340,Y,0,32A 321 ET,2220,HGA,1121,ADD,1107,,0,DH8 ET,2220,HKG,3077,ADD,1107,,0,763 788 ET,2220,HKG,3077,ICN,3930,,0,788 ET,2220,HRE,1005,ADD,1107,,0,788 ET,2220,HRE,1005,LLW,1016,,0,DH8 ET,2220,HRE,1005,LUN,907,,0,788 ET,2220,IAD,3714,ADD,1107,,0,77L 788 ET,2220,ICN,3930,BKK,3885,Y,0,333 772 ET,2220,ICN,3930,HKG,3077,,0,788 ET,2220,JED,2072,ADD,1107,,0,738 752 ET,2220,JED,2072,FRA,340,Y,0,333 ET,2220,JFK,3797,FRA,340,Y,0,744 ET,2220,JIB,4119,ADD,1107,,0,73W DH8 ET,2220,JIB,4119,DIR,1112,,0,DH8 73W ET,2220,JIJ,7417,ADD,1107,,0,DH8 ET,2220,JIJ,7417,DIR,1112,,0,DH8 ET,2220,JIJ,7417,GDE,5680,,0,DH8 ET,2220,JIM,1116,ADD,1107,,0,DH8 ET,2220,JIM,1116,AMH,1109,,0,DH8 ET,2220,JNB,813,ADD,1107,,0,77L ET,2220,JNB,813,BLZ,1013,,0,738 ET,2220,JNB,813,WDH,4105,Y,0,319 320 738 ET,2220,JRO,1180,ADD,1107,,0,DH8 763 ET,2220,JRO,1180,ZNZ,1186,,0,763 ET,2220,JUB,1173,ADD,1107,,0,DH8 73W ET,2220,KGL,1165,ADD,1107,,0,73W 738 ET,2220,KGL,1165,BJM,1120,,0,738 ET,2220,KRT,1175,ADD,1107,,0,738 DH8 ET,2220,KUL,3304,BKK,3885,,0,763 ET,2220,KWI,2176,ADD,1107,,0,738 ET,2220,LAD,951,ADD,1107,,0,77W ET,2220,LBV,970,ADD,1107,,0,738 ET,2220,LBV,970,FIH,1020,Y,0,73W ET,2220,LBV,970,LFW,298,Y,0,DH8 73W ET,2220,LBV,970,LOS,273,Y,0,73W ET,2220,LBV,970,NSI,4161,Y,0,73W ET,2220,LBV,970,PNR,886,Y,0,DH8 ET,2220,LCA,1197,CAI,1128,Y,0,E70 ET,2220,LFW,298,ABJ,253,,0,DH8 ET,2220,LFW,298,ABV,260,Y,0,DH8 ET,2220,LFW,298,ACC,248,Y,0,DH8 ET,2220,LFW,298,ADD,1107,,0,73W 788 ET,2220,LFW,298,BKO,1044,Y,0,73W ET,2220,LFW,298,CKY,4162,Y,0,73W ET,2220,LFW,298,COO,245,Y,0,DH8 ET,2220,LFW,298,DLA,897,Y,0,73W DH8 ET,2220,LFW,298,GIG,2560,,0,788 ET,2220,LFW,298,LBV,970,Y,0,73W DH8 ET,2220,LFW,298,LOS,273,,0,73W ET,2220,LFW,298,OUA,246,Y,0,DH8 73W ET,2220,LHR,507,ADD,1107,,0,788 77L ET,2220,LHR,507,YYZ,193,,0,77L ET,2220,LIS,1638,FRA,340,Y,0,321 ET,2220,LLI,1117,ADD,1107,,0,DH8 ET,2220,LLI,1117,AXU,1110,,0,DH8 ET,2220,LLI,1117,GDQ,1114,,0,DH8 ET,2220,LLW,1016,BLZ,1013,,0,738 DH8 ET,2220,LLW,1016,DAR,1177,,0,DH8 ET,2220,LLW,1016,HRE,1005,,0,DH8 ET,2220,LLW,1016,LUN,907,,0,DH8 ET,2220,LOS,273,ABJ,253,Y,0,DH8 ET,2220,LOS,273,ADD,1107,,0,77L ET,2220,LOS,273,LBV,970,Y,0,73W ET,2220,LOS,273,LFW,298,,0,73W ET,2220,LUN,907,ADD,1107,,0,788 ET,2220,LUN,907,BLZ,1013,,0,DH8 ET,2220,LUN,907,HRE,1005,,0,788 ET,2220,LUN,907,LLW,1016,,0,DH8 ET,2220,LYS,1335,FRA,340,Y,0,733 32A 321 ET,2220,MAD,1229,FRA,340,Y,0,321 320 ET,2220,MBA,1145,ADD,1107,,0,738 ET,2220,MBA,1145,JRO,1180,,0,DH8 ET,2220,MCT,2194,ADD,1107,,0,73W ET,2220,MEL,3339,SIN,3316,,0,388 ET,2220,MLW,1062,ACC,248,Y,0,DH8 ET,2220,MLW,1062,FNA,1059,Y,0,DH8 ET,2220,MPM,979,ADD,1107,,0,73W 738 ET,2220,MQX,1118,ADD,1107,,0,738 DH8 73W ET,2220,MQX,1118,SHC,5601,,0,DH8 ET,2220,MQX,1118,SZE,9827,,0,DH8 ET,2220,MRS,1353,FRA,340,Y,0,320 32A 319 ET,2220,MUC,346,FRA,340,Y,0,320 319 ET,2220,MXP,1524,FCO,1555,,0,763 ET,2220,MXP,1524,FRA,340,Y,0,321 319 32A 320 ET,2220,NBO,4059,ADD,1107,,0,738 763 ET,2220,NDJ,999,ABV,260,Y,0,DH8 ET,2220,NDJ,999,ADD,1107,,0,738 752 763 ET,2220,NDJ,999,DLA,897,Y,0,73W ET,2220,NDJ,999,NIM,280,Y,0,DH8 ET,2220,NIM,280,ABV,260,Y,0,DH8 ET,2220,NIM,280,ADD,1107,,0,752 ET,2220,NIM,280,COO,245,Y,0,DH8 ET,2220,NIM,280,NDJ,999,Y,0,DH8 ET,2220,NIM,280,OUA,246,,0,752 ET,2220,NLA,910,ADD,1107,,0,738 73W ET,2220,NSI,4161,LBV,970,Y,0,73W ET,2220,OSL,644,ARN,737,,0,736 73W 738 ET,2220,OSL,644,FRA,340,Y,0,319 320 32A ET,2220,OTP,1657,FRA,340,Y,0,733 ET,2220,OUA,246,ABJ,253,,0,752 ET,2220,OUA,246,ADD,1107,,0,752 ET,2220,OUA,246,BKO,1044,Y,0,DH8 ET,2220,OUA,246,LFW,298,Y,0,73W DH8 ET,2220,OUA,246,NIM,280,,0,752 ET,2220,OXB,5665,CKY,4162,,0,DH8 ET,2220,PEK,3364,ADD,1107,,0,77L ET,2220,PER,3351,SIN,3316,,0,772 ET,2220,PNR,886,ADD,1107,,0,738 ET,2220,PNR,886,LBV,970,Y,0,DH8 ET,2220,PRG,1587,FRA,340,Y,0,320 321 ET,2220,PVG,3406,ADD,1107,,0,77L 788 ET,2220,RUH,2082,ADD,1107,,0,738 ET,2220,SHC,5601,MQX,1118,,0,DH8 ET,2220,SIN,3316,ADL,3341,,0,333 ET,2220,SIN,3316,AKL,2006,,0,77W ET,2220,SIN,3316,BKK,3885,,0,333 763 ET,2220,SIN,3316,BNE,3320,,0,333 ET,2220,SIN,3316,CHC,2009,,0,772 ET,2220,SIN,3316,DXB,2188,Y,0,77W 333 ET,2220,SIN,3316,MEL,3339,,0,388 ET,2220,SIN,3316,PER,3351,,0,333 ET,2220,SIN,3316,SYD,3361,,0,388 ET,2220,SOF,1194,FRA,340,Y,0,320 32A 319 ET,2220,SSG,891,ADD,1107,,0,763 ET,2220,SSG,891,DLA,897,,0,763 ET,2220,SYD,3361,SIN,3316,,0,388 ET,2220,SZE,9827,ADD,1107,,0,DH8 ET,2220,SZE,9827,MQX,1118,,0,DH8 ET,2220,TLS,1273,FRA,340,Y,0,735 ET,2220,TLV,1590,ADD,1107,,0,763 ET,2220,TXL,351,FRA,340,Y,0,321 320 32A ET,2220,VIE,1613,FRA,340,Y,0,321 ET,2220,WAW,679,FRA,340,Y,0,320 321 32A ET,2220,WDH,4105,JNB,813,Y,0,319 320 738 ET,2220,YYZ,193,ADD,1107,,0,788 ET,2220,ZNZ,1186,ADD,1107,,0,73W ET,2220,ZNZ,1186,JRO,1180,,0,763 ET,2220,ZRH,1678,FRA,340,Y,0,319 EU,2193,BHY,6351,CKG,3393,,0,319 EU,2193,BHY,6351,CTU,3395,,0,319 EU,2193,CAN,3370,CTU,3395,,0,319 EU,2193,CGQ,4380,TNA,4108,,0,319 EU,2193,CKG,3393,BHY,6351,,0,319 EU,2193,CSX,3371,CTU,3395,,0,319 EU,2193,CSX,3371,HGH,3386,,0,319 EU,2193,CSX,3371,NGB,3387,,0,319 EU,2193,CSX,3371,NKG,3388,,0,319 EU,2193,CSX,3371,SYX,4030,,0,319 EU,2193,CTU,3395,BHY,6351,,0,319 EU,2193,CTU,3395,CAN,3370,,0,319 EU,2193,CTU,3395,CSX,3371,,0,319 EU,2193,CTU,3395,HGH,3386,,0,319 EU,2193,CTU,3395,JGS,6428,,0,319 EU,2193,CTU,3395,JHG,3381,,0,319 EU,2193,CTU,3395,JNG,6944,,0,319 EU,2193,CTU,3395,JZH,4301,,0,319 EU,2193,CTU,3395,KMG,3382,,0,319 EU,2193,CTU,3395,KWE,3394,,0,319 EU,2193,CTU,3395,LJG,4033,,0,319 EU,2193,CTU,3395,LYG,6383,,0,319 EU,2193,CTU,3395,LZH,6356,,0,319 EU,2193,CTU,3395,NKG,3388,,0,319 EU,2193,CTU,3395,PVG,3406,,0,319 EU,2193,CTU,3395,SYX,4030,,0,319 EU,2193,CTU,3395,SZX,3374,,0,319 EU,2193,CTU,3395,TNA,4108,,0,319 EU,2193,CTU,3395,TSN,3368,,0,319 EU,2193,CTU,3395,WNZ,6392,,0,319 EU,2193,CTU,3395,WUH,3376,,0,319 EU,2193,CTU,3395,XIY,3379,,0,319 EU,2193,CTU,3395,ZYI,9846,,0,319 EU,2193,FOC,3385,KWE,3394,,0,319 EU,2193,HGH,3386,CSX,3371,,0,319 EU,2193,HGH,3386,CTU,3395,,0,319 EU,2193,HGH,3386,SYX,4030,,0,319 EU,2193,HYN,6384,WUH,3376,,0,319 EU,2193,JGS,6428,CTU,3395,,0,319 EU,2193,JGS,6428,XMN,3383,,0,319 EU,2193,JHG,3381,CTU,3395,,0,319 EU,2193,JHG,3381,KMG,3382,,0,319 EU,2193,JNG,6944,CTU,3395,,0,319 EU,2193,JNG,6944,SHE,4144,,0,319 EU,2193,JZH,4301,CTU,3395,,0,319 EU,2193,KMG,3382,CTU,3395,,0,319 EU,2193,KMG,3382,JHG,3381,,0,319 EU,2193,KMG,3382,LZH,6356,,0,319 EU,2193,KWE,3394,CTU,3395,,0,319 EU,2193,KWE,3394,FOC,3385,,0,319 EU,2193,LJG,4033,CTU,3395,,0,319 EU,2193,LYG,6383,CTU,3395,,0,319 EU,2193,LYG,6383,SHE,4144,,0,319 EU,2193,LZH,6356,CTU,3395,,0,319 EU,2193,LZH,6356,KMG,3382,,0,319 EU,2193,LZH,6356,SZX,3374,,0,319 EU,2193,LZH,6356,XMN,3383,,0,319 EU,2193,NGB,3387,CSX,3371,,0,319 EU,2193,NKG,3388,CSX,3371,,0,319 EU,2193,NKG,3388,CTU,3395,,0,319 EU,2193,PVG,3406,CTU,3395,,0,319 EU,2193,SHE,4144,JNG,6944,,0,319 EU,2193,SHE,4144,LYG,6383,,0,319 EU,2193,SYX,4030,CSX,3371,,0,319 EU,2193,SYX,4030,CTU,3395,,0,319 EU,2193,SYX,4030,HGH,3386,,0,319 EU,2193,SZX,3374,CTU,3395,,0,319 EU,2193,SZX,3374,LZH,6356,,0,319 EU,2193,TAO,3390,XIY,3379,,0,319 EU,2193,TNA,4108,CGQ,4380,,0,319 EU,2193,TNA,4108,CTU,3395,,0,319 EU,2193,TSN,3368,CTU,3395,,0,319 EU,2193,WNZ,6392,CTU,3395,,0,319 EU,2193,WUH,3376,CTU,3395,,0,319 EU,2193,WUH,3376,HYN,6384,,0,319 EU,2193,XIY,3379,CTU,3395,,0,319 EU,2193,XIY,3379,TAO,3390,,0,319 EU,2193,XMN,3383,JGS,6428,,0,319 EU,2193,XMN,3383,LZH,6356,,0,319 EU,2193,ZYI,9846,CTU,3395,,0,319 EW,2260,HAM,342,AMS,580,,0,CRJ EY,2222,ALA,2908,AUH,2179,,0,320 EY,2222,AMD,2994,AUH,2179,,0,320 EY,2222,AMM,2170,AUH,2179,,0,320 EY,2222,AMS,580,AUH,2179,,0,332 EY,2222,AMS,580,BEG,1739,,0,319 EY,2222,AMS,580,LIS,1638,Y,0,32S EY,2222,AMS,580,OPO,1636,Y,0,100 ERJ EY,2222,ARN,737,BEG,1739,,0,319 EY,2222,ATH,3941,AUH,2179,,0,321 320 EY,2222,ATL,3682,ORD,3830,Y,0,E75 CR7 EY,2222,AUH,2179,ALA,2908,,0,320 EY,2222,AUH,2179,AMD,2994,,0,320 EY,2222,AUH,2179,AMM,2170,,0,320 EY,2222,AUH,2179,AMS,580,,0,332 EY,2222,AUH,2179,ATH,3941,,0,321 320 EY,2222,AUH,2179,BAH,2057,,0,320 333 346 EY,2222,AUH,2179,BEG,1739,,0,319 320 EY,2222,AUH,2179,BEY,2177,,0,320 EY,2222,AUH,2179,BGW,4130,,0,320 EY,2222,AUH,2179,BKK,3885,,0,77W EY,2222,AUH,2179,BLR,3131,,0,737 320 EY,2222,AUH,2179,BOM,2997,,0,320 346 EY,2222,AUH,2179,BRU,302,,0,332 EY,2222,AUH,2179,BSR,2234,,0,320 EY,2222,AUH,2179,CAI,1128,,0,320 EY,2222,AUH,2179,CCJ,3137,,0,320 EY,2222,AUH,2179,CDG,1382,,0,346 EY,2222,AUH,2179,CGK,3275,,0,332 77W EY,2222,AUH,2179,CMB,3024,,0,320 EY,2222,AUH,2179,CMN,1074,,0,333 EY,2222,AUH,2179,COK,3136,,0,320 EY,2222,AUH,2179,CTU,3395,,0,332 EY,2222,AUH,2179,DAC,3076,,0,77W EY,2222,AUH,2179,DEL,3093,,0,320 332 EY,2222,AUH,2179,DME,4029,,0,332 EY,2222,AUH,2179,DMM,2064,,0,320 319 EY,2222,AUH,2179,DOH,11051,,0,320 319 EY,2222,AUH,2179,DUB,599,,0,77W 332 EY,2222,AUH,2179,DUS,345,,0,332 333 EY,2222,AUH,2179,EBL,3989,,0,320 EY,2222,AUH,2179,FCO,1555,Y,0,330 EY,2222,AUH,2179,FRA,340,,0,332 333 EY,2222,AUH,2179,GRU,2564,,0,345 EY,2222,AUH,2179,GVA,1665,,0,333 EY,2222,AUH,2179,HKG,3077,Y,0,332 EY,2222,AUH,2179,HKT,3179,Y,0,332 EY,2222,AUH,2179,HYD,\N,,0,737 320 EY,2222,AUH,2179,IAD,3714,,0,346 EY,2222,AUH,2179,ICN,3930,,0,345 346 EY,2222,AUH,2179,IKA,4330,,0,320 EY,2222,AUH,2179,ISB,2223,,0,320 332 77W EY,2222,AUH,2179,IST,1701,,0,333 737 332 320 EY,2222,AUH,2179,JAI,3098,,0,320 EY,2222,AUH,2179,JED,2072,,0,77W EY,2222,AUH,2179,JFK,3797,,0,77W EY,2222,AUH,2179,JNB,813,,0,332 EY,2222,AUH,2179,KHI,2206,,0,320 EY,2222,AUH,2179,KRT,1175,,0,320 EY,2222,AUH,2179,KTM,3125,,0,320 EY,2222,AUH,2179,KUL,3304,,0,332 77W EY,2222,AUH,2179,KWI,2176,,0,320 EY,2222,AUH,2179,LCA,1197,,0,320 EY,2222,AUH,2179,LHE,2207,,0,320 346 332 345 77W EY,2222,AUH,2179,LHR,507,,0,77W 346 345 EY,2222,AUH,2179,LOS,273,,0,332 EY,2222,AUH,2179,MAA,3144,,0,321 320 EY,2222,AUH,2179,MAN,478,,0,332 77W EY,2222,AUH,2179,MCT,2194,,0,320 EY,2222,AUH,2179,MED,2074,,0,320 EY,2222,AUH,2179,MEL,3339,,0,77W EY,2222,AUH,2179,MLE,3156,,0,320 EY,2222,AUH,2179,MNL,2397,,0,77W EY,2222,AUH,2179,MSQ,2954,,0,320 EY,2222,AUH,2179,MUC,346,,0,346 345 333 EY,2222,AUH,2179,MXP,1524,,0,332 EY,2222,AUH,2179,NBO,4059,,0,320 EY,2222,AUH,2179,NRT,2279,,0,332 EY,2222,AUH,2179,ORD,3830,,0,77W EY,2222,AUH,2179,PEK,3364,,0,332 EY,2222,AUH,2179,PEW,2219,,0,320 EY,2222,AUH,2179,PVG,3406,,0,333 EY,2222,AUH,2179,RUH,2082,,0,320 333 332 77W EY,2222,AUH,2179,SAH,3980,,0,320 EY,2222,AUH,2179,SEZ,994,,0,320 EY,2222,AUH,2179,SGN,3205,,0,333 332 EY,2222,AUH,2179,SIN,3316,,0,332 EY,2222,AUH,2179,SYD,3361,,0,77W 346 EY,2222,AUH,2179,TRV,3153,,0,320 EY,2222,AUH,2179,TSE,2910,,0,320 EY,2222,AUH,2179,TXL,351,Y,0,332 EY,2222,AUH,2179,YYZ,193,,0,77W EY,2222,BAH,2057,AUH,2179,,0,320 333 346 EY,2222,BEG,1739,AMS,580,,0,319 EY,2222,BEG,1739,ARN,737,,0,319 EY,2222,BEG,1739,AUH,2179,,0,319 320 EY,2222,BEG,1739,FRA,340,,0,319 EY,2222,BEG,1739,LHR,507,,0,319 EY,2222,BEY,2177,AUH,2179,,0,320 EY,2222,BGW,4130,AUH,2179,,0,320 EY,2222,BKK,3885,AUH,2179,,0,77W EY,2222,BKK,3885,CNX,3931,Y,0,319 320 EY,2222,BKK,3885,HKG,3077,Y,0,330 EY,2222,BKK,3885,HKT,3179,Y,0,320 EY,2222,BKK,3885,KBV,3174,Y,0,320 319 EY,2222,BKK,3885,LPQ,3115,Y,0,AT7 319 EY,2222,BKK,3885,MDL,3222,Y,0,320 EY,2222,BLR,3131,AUH,2179,,0,320 737 EY,2222,BNE,3320,SIN,3316,,0,332 EY,2222,BOM,2997,AUH,2179,,0,346 320 EY,2222,BOM,2997,HKG,3077,,0,777 EY,2222,BRU,302,AUH,2179,,0,332 EY,2222,BRU,302,EWR,3494,,0,330 EY,2222,BRU,302,YYZ,193,,0,330 EY,2222,BSR,2234,AUH,2179,,0,320 EY,2222,BUD,1489,FCO,1555,Y,0,320 319 EY,2222,CAI,1128,AUH,2179,,0,320 EY,2222,CCJ,3137,AUH,2179,,0,320 EY,2222,CDG,1382,AUH,2179,,0,346 EY,2222,CDG,1382,JFK,3797,Y,0,767 EY,2222,CDG,1382,TLS,1273,Y,0,320 EY,2222,CGK,3275,AUH,2179,,0,77W 332 EY,2222,CGK,3275,HKG,3077,Y,0,330 EY,2222,CGK,3275,PER,3351,Y,0,737 EY,2222,CMB,3024,AUH,2179,,0,320 EY,2222,CMN,1074,AUH,2179,,0,333 EY,2222,CNX,3931,BKK,3885,Y,0,32S 319 EY,2222,COK,3136,AUH,2179,,0,320 EY,2222,CTU,3395,AUH,2179,,0,332 EY,2222,DAC,3076,AUH,2179,,0,77W EY,2222,DEL,3093,AUH,2179,,0,332 320 EY,2222,DEL,3093,HKG,3077,,0,330 777 EY,2222,DME,4029,AUH,2179,,0,332 EY,2222,DMM,2064,AUH,2179,,0,320 319 EY,2222,DOH,11051,AUH,2179,,0,320 319 EY,2222,DUB,599,AUH,2179,,0,77W 332 EY,2222,DUS,345,AUH,2179,,0,332 333 EY,2222,EBL,3989,AUH,2179,,0,320 EY,2222,EWR,3494,BRU,302,,0,330 EY,2222,FCO,1555,AUH,2179,Y,0,330 EY,2222,FCO,1555,BUD,1489,Y,0,320 EY,2222,FCO,1555,MLA,1606,Y,0,32S EY,2222,FCO,1555,OTP,1657,Y,0,319 EY,2222,FCO,1555,ZRH,1678,Y,0,EMJ EY,2222,FRA,340,AUH,2179,,0,332 333 EY,2222,FRA,340,BEG,1739,,0,319 EY,2222,GRU,2564,AUH,2179,,0,345 EY,2222,GVA,1665,AUH,2179,,0,333 EY,2222,HKG,3077,AUH,2179,Y,0,332 EY,2222,HKG,3077,BKK,3885,Y,0,330 EY,2222,HKG,3077,BOM,2997,,0,777 EY,2222,HKG,3077,CGK,3275,Y,0,330 EY,2222,HKG,3077,DEL,3093,,0,330 777 EY,2222,HKT,3179,AUH,2179,Y,0,332 EY,2222,HKT,3179,BKK,3885,Y,0,32S 320 EY,2222,HRI,8949,CMB,3024,Y,0,32S EY,2222,HYD,\N,AUH,2179,,0,320 737 EY,2222,IAD,3714,AUH,2179,,0,346 EY,2222,ICN,3930,AUH,2179,,0,345 346 EY,2222,IKA,4330,AUH,2179,,0,320 EY,2222,ISB,2223,AUH,2179,,0,320 332 77W EY,2222,IST,1701,AUH,2179,,0,333 737 332 320 EY,2222,JAI,3098,AUH,2179,,0,320 EY,2222,JED,2072,AUH,2179,,0,77W EY,2222,JFK,3797,AUH,2179,,0,77W EY,2222,JFK,3797,CDG,1382,Y,0,763 757 EY,2222,JFK,3797,LAS,3877,Y,0,738 EY,2222,JFK,3797,MSY,3861,Y,0,E90 320 EY,2222,JNB,813,AUH,2179,,0,332 EY,2222,KBV,3174,BKK,3885,Y,0,320 319 EY,2222,KHI,2206,AUH,2179,,0,320 EY,2222,KRT,1175,AUH,2179,,0,320 EY,2222,KTM,3125,AUH,2179,,0,320 EY,2222,KUL,3304,AUH,2179,,0,332 77W EY,2222,KWI,2176,AUH,2179,,0,320 EY,2222,LAS,3877,JFK,3797,Y,0,767 757 EY,2222,LCA,1197,AUH,2179,,0,320 EY,2222,LHE,2207,AUH,2179,,0,77W 320 346 332 345 EY,2222,LHR,507,AUH,2179,,0,77W 346 345 EY,2222,LIS,1638,AGP,1230,Y,0,BE1 EY,2222,LIS,1638,AMS,580,,0,32S EY,2222,LIS,1638,PXO,1637,,0,100 32S EY,2222,LOS,273,AUH,2179,,0,332 EY,2222,LPQ,3115,BKK,3885,Y,0,AT7 319 EY,2222,MAA,3144,AUH,2179,,0,321 320 EY,2222,MAN,478,AUH,2179,,0,332 77W EY,2222,MCT,2194,AUH,2179,,0,320 EY,2222,MDL,3222,BKK,3885,Y,0,320 EY,2222,MED,2074,AUH,2179,,0,320 EY,2222,MEL,3339,AUH,2179,,0,77W EY,2222,MLE,3156,AUH,2179,,0,320 EY,2222,MLE,3156,HRI,8949,Y,0,32S EY,2222,MNL,2397,AUH,2179,,0,77W EY,2222,MRS,1353,CDG,1382,Y,0,319 EY,2222,MSQ,2954,AUH,2179,,0,320 EY,2222,MSY,3861,JFK,3797,Y,0,E90 320 EY,2222,MUC,346,AUH,2179,,0,346 345 333 EY,2222,MXP,1524,AUH,2179,,0,332 EY,2222,NBO,4059,AUH,2179,,0,320 EY,2222,NGO,3942,PEK,3364,,0,332 EY,2222,NRT,2279,AUH,2179,,0,332 EY,2222,OPO,1636,AMS,580,Y,0,100 ERJ EY,2222,ORD,3830,ATL,3682,Y,0,E75 EY,2222,ORD,3830,AUH,2179,,0,77W EY,2222,ORD,3830,MSY,3861,Y,0,E75 EY,2222,ORD,3830,YUL,146,Y,0,CRJ EY,2222,ORD,3830,YYZ,193,Y,0,EMJ EY,2222,OTP,1657,FCO,1555,Y,0,319 EY,2222,PEK,3364,AUH,2179,,0,332 EY,2222,PEK,3364,NGO,3942,,0,332 EY,2222,PER,3351,CGK,3275,Y,0,737 EY,2222,PEW,2219,AUH,2179,,0,320 EY,2222,PVG,3406,AUH,2179,,0,333 EY,2222,PXO,1637,LIS,1638,,0,100 32S EY,2222,RUH,2082,AUH,2179,,0,320 333 332 77W EY,2222,SAH,3980,AUH,2179,,0,320 EY,2222,SEZ,994,AUH,2179,,0,320 EY,2222,SGN,3205,AUH,2179,,0,333 332 EY,2222,SIN,3316,AUH,2179,,0,332 EY,2222,SIN,3316,BNE,3320,,0,332 EY,2222,SYD,3361,AUH,2179,,0,346 77W EY,2222,TRV,3153,AUH,2179,,0,320 EY,2222,TSE,2910,AUH,2179,,0,320 EY,2222,TXL,351,AUH,2179,Y,0,332 EY,2222,YUL,146,ORD,3830,Y,0,CRJ EY,2222,YYZ,193,AUH,2179,,0,77W EY,2222,YYZ,193,BRU,302,,0,330 EY,2222,YYZ,193,ORD,3830,Y,0,EMJ EY,2222,ZRH,1678,FCO,1555,Y,0,EMJ F2,2409,ASV,5692,WIL,1147,,0,DH8 F2,2409,JRO,1180,WIL,1147,,0,DH8 F2,2409,LAU,1144,WIL,1147,,0,DH8 F2,2409,MRE,7424,WIL,1147,,0,DH8 F2,2409,NYK,5695,UAS,6773,,0,DH8 F2,2409,NYK,5695,WIL,1147,,0,DH8 F2,2409,UAS,6773,NYK,5695,,0,DH8 F2,2409,UKA,7976,WIL,1147,,0,DH8 F2,2409,WIL,1147,JRO,1180,,0,DH8 F2,2409,WIL,1147,LAU,1144,,0,DH8 F2,2409,WIL,1147,MRE,7424,,0,DH8 F2,2409,WIL,1147,NYK,5695,,0,DH8 F2,2409,WIL,1147,UAS,6773,,0,DH8 F2,2409,WIL,1147,UKA,7976,,0,DH8 F5,21012,CAB,946,LAD,951,,0,AT7 F5,21012,LAD,951,SSY,944,,0,AT7 F5,21012,LAD,951,SZA,958,,0,AT7 F5,21012,SSY,944,LAD,951,,0,AT7 F5,21012,SZA,958,LAD,951,,0,AT7 F7,2420,AMS,580,LEJ,348,,0,S20 F7,2420,BEG,1739,GVA,1665,,0,S20 F7,2420,BOD,1264,GVA,1665,,0,AT7 F7,2420,BZO,1536,FCO,1555,,0,S20 F7,2420,CDG,1382,LEJ,348,,0,S20 F7,2420,CTA,1509,LMP,1510,Y,0,AT7 F7,2420,FCO,1555,BZO,1536,,0,S20 F7,2420,FCO,1555,GVA,1665,,0,AT7 F7,2420,FLR,1563,GVA,1665,,0,S20 F7,2420,FLR,1563,ZRH,1678,,0,S20 F7,2420,GVA,1665,BEG,1739,,0,S20 F7,2420,GVA,1665,BOD,1264,,0,AT7 F7,2420,GVA,1665,FCO,1555,,0,AT7 F7,2420,GVA,1665,FLR,1563,,0,S20 F7,2420,GVA,1665,LUG,1675,,0,S20 F7,2420,GVA,1665,STR,350,,0,S20 F7,2420,GVA,1665,TLS,1273,,0,AT7 F7,2420,GVA,1665,VLC,1246,,0,S20 F7,2420,GVA,1665,ZRH,1678,,0,S20 F7,2420,LEJ,348,AMS,580,,0,S20 F7,2420,LEJ,348,CDG,1382,,0,S20 F7,2420,LEJ,348,ZRH,1678,,0,S20 F7,2420,LMP,1510,CTA,1509,Y,0,AT7 F7,2420,LMP,1510,PMO,1512,Y,0,AT7 F7,2420,LUG,1675,GVA,1665,,0,S20 F7,2420,PMO,1512,LMP,1510,Y,0,AT7 F7,2420,PMO,1512,PNL,1511,,0,AT7 F7,2420,PNL,1511,PMO,1512,,0,AT7 F7,2420,PNL,1511,TPS,1515,,0,AT7 F7,2420,STR,350,GVA,1665,,0,S20 F7,2420,TLS,1273,GVA,1665,,0,AT7 F7,2420,TPS,1515,PNL,1511,,0,AT7 F7,2420,TRN,1526,ZRH,1678,,0,S20 F7,2420,VLC,1246,GVA,1665,,0,S20 F7,2420,ZRH,1678,FLR,1563,,0,S20 F7,2420,ZRH,1678,GVA,1665,,0,S20 F7,2420,ZRH,1678,LEJ,348,,0,S20 F7,2420,ZRH,1678,TRN,1526,,0,S20 F9,2468,AIA,7067,CDR,7066,Y,0,BE1 F9,2468,ALS,7073,DEN,3751,Y,0,BE1 F9,2468,ALS,7073,FMN,3743,Y,0,BE1 F9,2468,ATL,3682,DEN,3751,,0,319 F9,2468,ATL,3682,TTN,3447,,0,319 F9,2468,ATY,5721,PIR,5761,Y,0,BE1 F9,2468,AUS,3673,DEN,3751,,0,319 F9,2468,BIS,4083,DEN,3751,,0,319 F9,2468,BKG,6962,DEN,3751,,0,319 F9,2468,BMI,4037,DEN,3751,,0,319 F9,2468,BMI,4037,MCO,3878,,0,319 F9,2468,BNA,3690,DEN,3751,,0,319 320 F9,2468,BNA,3690,TTN,3447,,0,319 F9,2468,BZN,4020,DEN,3751,,0,319 F9,2468,CDR,7066,DEN,3751,Y,0,BE1 F9,2468,CID,4043,DEN,3751,,0,319 F9,2468,CLE,3486,CUN,1852,,0,320 F9,2468,CLE,3486,DEN,3751,,0,320 F9,2468,CLE,3486,PUJ,1760,,0,320 F9,2468,CLE,3486,TTN,3447,,0,319 F9,2468,CLT,3876,TTN,3447,,0,319 F9,2468,CUN,1852,CLE,3486,,0,320 F9,2468,CUN,1852,DEN,3751,,0,320 F9,2468,CUN,1852,MCI,3458,,0,319 F9,2468,CUN,1852,PHL,3752,,0,320 F9,2468,CUN,1852,PIT,3570,,0,320 F9,2468,CUN,1852,STL,3678,,0,320 F9,2468,CVG,3488,DEN,3751,,0,320 319 F9,2468,CVG,3488,TTN,3447,,0,319 F9,2468,CYS,3804,DEN,3751,Y,0,BEH BE1 F9,2468,CYS,3804,WRL,5777,Y,0,BEH BE1 F9,2468,CZM,1800,DEN,3751,,0,319 F9,2468,DCA,3520,DEN,3751,,0,320 319 F9,2468,DDC,5733,DEN,3751,Y,0,BE1 F9,2468,DDC,5733,LBL,4341,Y,0,BE1 F9,2468,DEN,3751,AIA,7067,Y,0,BE1 F9,2468,DEN,3751,ALS,7073,Y,0,BE1 F9,2468,DEN,3751,ATL,3682,,0,319 F9,2468,DEN,3751,AUS,3673,,0,319 F9,2468,DEN,3751,BIS,4083,,0,319 F9,2468,DEN,3751,BKG,6962,,0,319 F9,2468,DEN,3751,BMI,4037,,0,319 F9,2468,DEN,3751,BNA,3690,,0,320 319 F9,2468,DEN,3751,BZN,4020,,0,319 F9,2468,DEN,3751,CID,4043,,0,319 F9,2468,DEN,3751,CLE,3486,,0,320 F9,2468,DEN,3751,CUN,1852,,0,320 F9,2468,DEN,3751,CVG,3488,,0,319 320 F9,2468,DEN,3751,CYS,3804,Y,0,BEH BE1 F9,2468,DEN,3751,CZM,1800,,0,319 F9,2468,DEN,3751,DCA,3520,,0,320 319 F9,2468,DEN,3751,DFW,3670,,0,319 320 F9,2468,DEN,3751,DSM,3729,,0,319 F9,2468,DEN,3751,DTW,3645,,0,319 320 F9,2468,DEN,3751,EUG,4099,,0,319 F9,2468,DEN,3751,FAR,4292,,0,319 F9,2468,DEN,3751,FAT,3687,,0,319 F9,2468,DEN,3751,FLL,3533,,0,319 320 F9,2468,DEN,3751,FMN,3743,Y,0,BE1 F9,2468,DEN,3751,FSD,4009,,0,319 F9,2468,DEN,3751,GEG,3467,,0,319 F9,2468,DEN,3751,GSO,4008,,0,319 F9,2468,DEN,3751,IAH,3550,,0,319 320 F9,2468,DEN,3751,ILG,3859,,0,320 F9,2468,DEN,3751,IND,3585,,0,320 319 F9,2468,DEN,3751,LAS,3877,,0,320 319 F9,2468,DEN,3751,LAX,3484,,0,319 320 F9,2468,DEN,3751,LGA,3697,,0,320 F9,2468,DEN,3751,LIR,1881,,0,319 F9,2468,DEN,3751,LIT,3660,,0,319 F9,2468,DEN,3751,MCI,3458,,0,319 320 F9,2468,DEN,3751,MCO,3878,,0,320 319 F9,2468,DEN,3751,MDT,3542,,0,319 F9,2468,DEN,3751,MDW,3747,,0,319 F9,2468,DEN,3751,MEM,3473,,0,319 F9,2468,DEN,3751,MKE,3717,,0,319 320 F9,2468,DEN,3751,MOT,3498,,0,319 F9,2468,DEN,3751,MSN,3459,,0,319 F9,2468,DEN,3751,MSP,3858,,0,319 320 F9,2468,DEN,3751,MSY,3861,,0,319 F9,2468,DEN,3751,OKC,3863,,0,319 F9,2468,DEN,3751,OMA,3454,,0,319 F9,2468,DEN,3751,PDX,3720,,0,319 320 F9,2468,DEN,3751,PHF,3633,,0,319 F9,2468,DEN,3751,PHX,3462,,0,320 319 F9,2468,DEN,3751,PIR,5761,Y,0,BE1 F9,2468,DEN,3751,PSP,3839,,0,319 F9,2468,DEN,3751,PVR,1836,,0,319 F9,2468,DEN,3751,RSW,3793,,0,319 320 F9,2468,DEN,3751,SAN,3731,,0,320 319 F9,2468,DEN,3751,SBA,3949,,0,319 F9,2468,DEN,3751,SEA,3577,,0,319 320 F9,2468,DEN,3751,SFO,3469,,0,320 319 F9,2468,DEN,3751,SJD,1840,,0,320 F9,2468,DEN,3751,SJO,1885,,0,319 F9,2468,DEN,3751,SLC,3536,,0,319 320 F9,2468,DEN,3751,SNA,3867,,0,319 F9,2468,DEN,3751,STL,3678,,0,320 319 F9,2468,DEN,3751,TPA,3646,,0,320 319 F9,2468,DEN,3751,TYS,3676,,0,319 F9,2468,DFW,3670,DEN,3751,,0,319 320 F9,2468,DSM,3729,DEN,3751,,0,319 F9,2468,DTW,3645,DEN,3751,,0,320 319 F9,2468,DTW,3645,ILG,3859,,0,320 F9,2468,DTW,3645,TTN,3447,,0,319 F9,2468,EUG,4099,DEN,3751,,0,319 F9,2468,FAR,4292,DEN,3751,,0,319 F9,2468,FAT,3687,DEN,3751,,0,319 F9,2468,FLL,3533,DEN,3751,,0,319 320 F9,2468,FLL,3533,TTN,3447,,0,319 F9,2468,FMN,3743,ALS,7073,Y,0,BE1 F9,2468,FMN,3743,DEN,3751,Y,0,BE1 F9,2468,FMN,3743,SOW,7078,Y,0,BE1 F9,2468,FSD,4009,DEN,3751,,0,319 F9,2468,GEG,3467,DEN,3751,,0,319 F9,2468,GSO,4008,DEN,3751,,0,319 F9,2468,HON,3491,PIR,5761,Y,0,BE1 F9,2468,IAH,3550,DEN,3751,,0,320 319 F9,2468,IGM,6132,PGA,4124,Y,0,BE1 F9,2468,ILG,3859,DEN,3751,,0,320 F9,2468,ILG,3859,DTW,3645,,0,320 F9,2468,ILG,3859,MCO,3878,,0,320 F9,2468,ILG,3859,MDW,3747,,0,320 F9,2468,ILG,3859,RSW,3793,,0,320 F9,2468,ILG,3859,TPA,3646,,0,320 F9,2468,IND,3585,DEN,3751,,0,320 319 F9,2468,IND,3585,TTN,3447,,0,319 F9,2468,LAS,3877,DEN,3751,,0,319 320 F9,2468,LAX,3484,DEN,3751,,0,320 319 F9,2468,LAX,3484,IGM,6132,Y,0,BE1 F9,2468,LBL,4341,DDC,5733,Y,0,BE1 F9,2468,LBL,4341,DEN,3751,Y,0,BE1 F9,2468,LGA,3697,DEN,3751,,0,320 F9,2468,LIR,1881,DEN,3751,,0,319 F9,2468,LIT,3660,DEN,3751,,0,319 F9,2468,MBJ,1780,ORD,3830,,0,320 F9,2468,MBJ,1780,STL,3678,,0,319 F9,2468,MCI,3458,CUN,1852,,0,319 F9,2468,MCI,3458,DEN,3751,,0,320 319 F9,2468,MCO,3878,BMI,4037,,0,319 F9,2468,MCO,3878,DEN,3751,,0,319 320 F9,2468,MCO,3878,ILG,3859,,0,320 F9,2468,MCO,3878,MDT,3542,,0,319 F9,2468,MCO,3878,TTN,3447,,0,319 F9,2468,MDT,3542,DEN,3751,,0,319 F9,2468,MDT,3542,MCO,3878,,0,319 F9,2468,MDW,3747,DEN,3751,,0,319 F9,2468,MDW,3747,ILG,3859,,0,320 F9,2468,MDW,3747,TTN,3447,,0,319 F9,2468,MEM,3473,DEN,3751,,0,319 F9,2468,MKE,3717,DEN,3751,,0,319 320 F9,2468,MOT,3498,DEN,3751,,0,319 F9,2468,MSN,3459,DEN,3751,,0,319 F9,2468,MSP,3858,DEN,3751,,0,319 320 F9,2468,MSY,3861,DEN,3751,,0,319 F9,2468,OKC,3863,DEN,3751,,0,319 F9,2468,OMA,3454,DEN,3751,,0,319 F9,2468,ORD,3830,MBJ,1780,,0,320 F9,2468,ORD,3830,PUJ,1760,,0,320 F9,2468,ORD,3830,PVR,1836,,0,320 F9,2468,ORD,3830,SJD,1840,,0,320 F9,2468,PDX,3720,DEN,3751,,0,320 319 F9,2468,PGA,4124,DEN,3751,Y,0,BE1 F9,2468,PHF,3633,DEN,3751,,0,319 F9,2468,PHL,3752,CUN,1852,,0,320 F9,2468,PHL,3752,PUJ,1760,,0,320 F9,2468,PHX,3462,DEN,3751,,0,319 320 F9,2468,PHX,3462,SOW,7078,Y,0,BE1 F9,2468,PIR,5761,ATY,5721,Y,0,BE1 F9,2468,PIR,5761,DEN,3751,Y,0,BE1 F9,2468,PIR,5761,HON,3491,Y,0,BE1 F9,2468,PIT,3570,CUN,1852,,0,320 F9,2468,PIT,3570,PUJ,1760,,0,320 F9,2468,PSP,3839,DEN,3751,,0,319 F9,2468,PUJ,1760,CLE,3486,,0,320 F9,2468,PUJ,1760,ORD,3830,,0,320 F9,2468,PUJ,1760,PHL,3752,,0,320 F9,2468,PUJ,1760,PIT,3570,,0,320 F9,2468,PUJ,1760,STL,3678,,0,319 F9,2468,PVR,1836,DEN,3751,,0,319 F9,2468,PVR,1836,ORD,3830,,0,320 F9,2468,PVR,1836,STL,3678,,0,319 F9,2468,RDU,3626,TTN,3447,,0,319 F9,2468,RSW,3793,DEN,3751,,0,319 320 F9,2468,RSW,3793,ILG,3859,,0,320 F9,2468,RSW,3793,TTN,3447,,0,319 F9,2468,SAN,3731,DEN,3751,,0,319 320 F9,2468,SBA,3949,DEN,3751,,0,319 F9,2468,SEA,3577,DEN,3751,,0,320 319 F9,2468,SFO,3469,DEN,3751,,0,320 319 F9,2468,SJD,1840,DEN,3751,,0,320 F9,2468,SJD,1840,ORD,3830,,0,320 F9,2468,SJO,1885,DEN,3751,,0,319 F9,2468,SLC,3536,DEN,3751,,0,320 319 F9,2468,SNA,3867,DEN,3751,,0,319 F9,2468,SOW,7078,FMN,3743,Y,0,BE1 F9,2468,SOW,7078,PHX,3462,Y,0,BE1 F9,2468,STL,3678,CUN,1852,,0,320 F9,2468,STL,3678,DEN,3751,,0,320 319 F9,2468,STL,3678,MBJ,1780,,0,319 F9,2468,STL,3678,PUJ,1760,,0,319 F9,2468,STL,3678,PVR,1836,,0,319 F9,2468,TPA,3646,DEN,3751,,0,319 320 F9,2468,TPA,3646,ILG,3859,,0,320 F9,2468,TPA,3646,TTN,3447,,0,319 F9,2468,TTN,3447,ATL,3682,,0,319 F9,2468,TTN,3447,BNA,3690,,0,319 F9,2468,TTN,3447,CLE,3486,,0,319 F9,2468,TTN,3447,CLT,3876,,0,319 F9,2468,TTN,3447,CVG,3488,,0,319 F9,2468,TTN,3447,DTW,3645,,0,319 F9,2468,TTN,3447,FLL,3533,,0,319 F9,2468,TTN,3447,IND,3585,,0,319 F9,2468,TTN,3447,MCO,3878,,0,319 F9,2468,TTN,3447,MDW,3747,,0,319 F9,2468,TTN,3447,RDU,3626,,0,319 F9,2468,TTN,3447,RSW,3793,,0,319 F9,2468,TTN,3447,TPA,3646,,0,319 F9,2468,TTN,3447,UST,6989,,0,319 F9,2468,TYS,3676,DEN,3751,,0,319 F9,2468,UST,6989,TTN,3447,,0,319 F9,2468,WRL,5777,CYS,3804,Y,0,BEH BE1 FB,1548,AGP,1230,SOF,1194,,0,320 319 FB,1548,AMS,580,SOF,1194,,0,320 E90 319 FB,1548,ATH,3941,SOF,1194,,0,E90 FB,1548,BCN,1218,SOF,1194,,0,320 319 FB,1548,BOJ,1191,LED,2948,,0,320 FB,1548,BOJ,1191,SOF,1194,,0,320 E90 FB,1548,BOJ,1191,SVO,2985,,0,320 FB,1548,BOJ,1191,VAR,1196,,0,E90 FB,1548,BRU,302,SOF,1194,,0,E90 319 FB,1548,CDG,1382,SOF,1194,,0,319 E90 FB,1548,FCO,1555,SOF,1194,,0,E90 319 320 FB,1548,FRA,340,SOF,1194,,0,E90 319 FB,1548,LCA,1197,SOF,1194,,0,E90 FB,1548,LED,2948,BOJ,1191,,0,320 FB,1548,LHR,507,SOF,1194,,0,320 319 E90 FB,1548,MAD,1229,SOF,1194,,0,319 320 E90 FB,1548,MXP,1524,SOF,1194,,0,E90 319 FB,1548,OTP,1657,SOF,1194,,0,AT5 FB,1548,PFO,1198,SOF,1194,,0,E90 FB,1548,PMI,3998,SOF,1194,,0,320 E90 FB,1548,PRG,1587,SOF,1194,,0,319 E90 FB,1548,SOF,1194,AGP,1230,,0,320 319 FB,1548,SOF,1194,AMS,580,,0,320 E90 319 FB,1548,SOF,1194,ATH,3941,,0,E90 FB,1548,SOF,1194,BCN,1218,,0,320 319 FB,1548,SOF,1194,BOJ,1191,,0,E90 320 FB,1548,SOF,1194,BRU,302,,0,E90 319 FB,1548,SOF,1194,CDG,1382,,0,319 E90 FB,1548,SOF,1194,FCO,1555,,0,E90 319 320 FB,1548,SOF,1194,FRA,340,,0,E90 319 FB,1548,SOF,1194,LCA,1197,,0,E90 FB,1548,SOF,1194,LHR,507,,0,320 319 E90 FB,1548,SOF,1194,MAD,1229,,0,319 320 E90 FB,1548,SOF,1194,MXP,1524,,0,E90 319 FB,1548,SOF,1194,OTP,1657,,0,AT5 FB,1548,SOF,1194,PFO,1198,,0,E90 FB,1548,SOF,1194,PMI,3998,,0,320 E90 FB,1548,SOF,1194,PRG,1587,,0,319 E90 FB,1548,SOF,1194,SVO,2985,,0,319 FB,1548,SOF,1194,TLV,1590,,0,319 FB,1548,SOF,1194,TXL,351,,0,319 E90 FB,1548,SOF,1194,VAR,1196,,0,320 E90 319 FB,1548,SOF,1194,VIE,1613,,0,E90 319 FB,1548,SOF,1194,WAW,679,,0,E75 FB,1548,SOF,1194,ZRH,1678,,0,E90 FB,1548,SVO,2985,BOJ,1191,,0,320 FB,1548,SVO,2985,SOF,1194,,0,319 FB,1548,SVO,2985,VAR,1196,,0,320 FB,1548,TLV,1590,SOF,1194,,0,319 FB,1548,TXL,351,SOF,1194,,0,319 E90 FB,1548,VAR,1196,BOJ,1191,,0,E90 FB,1548,VAR,1196,SOF,1194,,0,E90 320 319 FB,1548,VAR,1196,SVO,2985,,0,320 FB,1548,VIE,1613,SOF,1194,,0,E90 319 FB,1548,WAW,679,SOF,1194,,0,E75 FB,1548,ZRH,1678,SOF,1194,,0,E90 FD,4947,CAN,3370,DMK,3157,,0,320 FD,4947,CEI,3932,DMK,3157,,0,320 FD,4947,CKG,3393,DMK,3157,,0,320 FD,4947,CNX,3931,DMK,3157,,0,320 FD,4947,CNX,3931,HDY,3181,,0,320 FD,4947,CNX,3931,HGH,3386,,0,320 FD,4947,CNX,3931,HKG,3077,,0,320 FD,4947,CNX,3931,HKT,3179,,0,320 FD,4947,CNX,3931,KBV,3174,,0,320 FD,4947,CNX,3931,MFM,3121,,0,320 FD,4947,CSX,3371,DMK,3157,,0,320 FD,4947,DMK,3157,CAN,3370,,0,320 FD,4947,DMK,3157,CEI,3932,,0,320 FD,4947,DMK,3157,CKG,3393,,0,320 FD,4947,DMK,3157,CNX,3931,,0,320 FD,4947,DMK,3157,CSX,3371,,0,320 FD,4947,DMK,3157,DPS,3940,,0,320 FD,4947,DMK,3157,HAN,3199,,0,320 FD,4947,DMK,3157,HDY,3181,,0,320 FD,4947,DMK,3157,HGH,3386,,0,320 FD,4947,DMK,3157,HKG,3077,,0,320 FD,4947,DMK,3157,HKT,3179,,0,320 FD,4947,DMK,3157,KBV,3174,,0,320 FD,4947,DMK,3157,KKC,3938,,0,320 FD,4947,DMK,3157,KMG,3382,,0,320 FD,4947,DMK,3157,KOP,3936,,0,320 FD,4947,DMK,3157,KUL,3304,,0,320 FD,4947,DMK,3157,MAA,3144,,0,320 FD,4947,DMK,3157,MDL,3222,,0,320 FD,4947,DMK,3157,MFM,3121,,0,320 FD,4947,DMK,3157,NAW,3173,,0,320 FD,4947,DMK,3157,NGB,3387,,0,320 FD,4947,DMK,3157,NST,3933,,0,320 FD,4947,DMK,3157,PEN,3308,,0,320 FD,4947,DMK,3157,PHS,3170,,0,320 FD,4947,DMK,3157,PNH,3034,,0,320 FD,4947,DMK,3157,REP,3035,,0,320 FD,4947,DMK,3157,RGN,3239,,0,320 FD,4947,DMK,3157,SGN,3205,,0,320 FD,4947,DMK,3157,SIN,3316,,0,320 FD,4947,DMK,3157,SZX,3374,,0,320 FD,4947,DMK,3157,TST,3182,,0,320 FD,4947,DMK,3157,UBP,3937,,0,320 FD,4947,DMK,3157,URT,4000,,0,320 FD,4947,DMK,3157,UTH,3183,,0,320 FD,4947,DMK,3157,WUH,3376,,0,320 FD,4947,DMK,3157,XIY,3379,,0,320 FD,4947,DPS,3940,DMK,3157,,0,320 FD,4947,HAN,3199,DMK,3157,,0,320 FD,4947,HDY,3181,CNX,3931,,0,320 FD,4947,HDY,3181,DMK,3157,,0,320 FD,4947,HGH,3386,CNX,3931,,0,320 FD,4947,HGH,3386,DMK,3157,,0,320 FD,4947,HKG,3077,CNX,3931,,0,320 FD,4947,HKG,3077,DMK,3157,,0,320 FD,4947,HKG,3077,HKT,3179,,0,320 FD,4947,HKT,3179,CNX,3931,,0,320 FD,4947,HKT,3179,DMK,3157,,0,320 FD,4947,HKT,3179,HKG,3077,,0,320 FD,4947,HKT,3179,SIN,3316,,0,320 FD,4947,HKT,3179,UTH,3183,,0,320 FD,4947,KBV,3174,CNX,3931,,0,320 FD,4947,KBV,3174,DMK,3157,,0,320 FD,4947,KBV,3174,SIN,3316,,0,320 FD,4947,KKC,3938,DMK,3157,,0,320 FD,4947,KMG,3382,DMK,3157,,0,320 FD,4947,KOP,3936,DMK,3157,,0,320 FD,4947,KUL,3304,DMK,3157,,0,320 FD,4947,MAA,3144,DMK,3157,,0,320 FD,4947,MDL,3222,DMK,3157,,0,320 FD,4947,MFM,3121,CNX,3931,,0,320 FD,4947,MFM,3121,DMK,3157,,0,320 FD,4947,NAW,3173,DMK,3157,,0,320 FD,4947,NGB,3387,DMK,3157,,0,320 FD,4947,NST,3933,DMK,3157,,0,320 FD,4947,PEN,3308,DMK,3157,,0,320 FD,4947,PHS,3170,DMK,3157,,0,320 FD,4947,PNH,3034,DMK,3157,,0,320 FD,4947,REP,3035,DMK,3157,,0,320 FD,4947,RGN,3239,DMK,3157,,0,320 FD,4947,SGN,3205,DMK,3157,,0,320 FD,4947,SIN,3316,DMK,3157,,0,320 FD,4947,SIN,3316,HKT,3179,,0,320 FD,4947,SIN,3316,KBV,3174,,0,320 FD,4947,SZX,3374,DMK,3157,,0,320 FD,4947,TST,3182,DMK,3157,,0,320 FD,4947,UBP,3937,DMK,3157,,0,320 FD,4947,URT,4000,DMK,3157,,0,320 FD,4947,UTH,3183,DMK,3157,,0,320 FD,4947,UTH,3183,HKT,3179,,0,320 FD,4947,WUH,3376,DMK,3157,,0,320 FD,4947,XIY,3379,DMK,3157,,0,320 FE,4044,CTU,3395,KHH,2264,,0,M83 FE,4044,HFE,3389,TPE,2276,,0,M83 FE,4044,INC,4085,TPE,2276,,0,M83 FE,4044,KHH,2264,CTU,3395,,0,M83 FE,4044,KHH,2264,NNG,3373,,0,M83 FE,4044,KWE,3394,TPE,2276,,0,M83 FE,4044,NNG,3373,KHH,2264,,0,M83 FE,4044,NNG,3373,TSA,2275,,0,M83 FE,4044,SJW,6347,TPE,2276,,0,M83 FE,4044,TPE,2276,HFE,3389,,0,M83 FE,4044,TPE,2276,INC,4085,,0,M83 FE,4044,TPE,2276,KWE,3394,,0,M83 FE,4044,TPE,2276,SJW,6347,,0,M83 FE,4044,TSA,2275,NNG,3373,,0,M83 FE,4044,TSA,2275,TSN,3368,,0,M83 FE,4044,TSA,2275,TYN,3369,,0,M83 FE,4044,TSN,3368,TSA,2275,,0,M83 FE,4044,TYN,3369,TSA,2275,,0,M83 FG,125,DEL,3093,KBL,2050,,0,734 FG,125,DEL,3093,KDH,2051,,0,734 FG,125,DXB,2188,KBL,2050,,0,734 FG,125,DXB,2188,KDH,2051,,0,734 FG,125,ESB,1682,IST,1701,,0,734 FG,125,GYD,2922,KBL,2050,,0,734 FG,125,GYD,2922,SVO,2985,,0,734 FG,125,HEA,2048,KBL,2050,,0,734 FG,125,JED,2072,KWI,2176,,0,734 FG,125,KBL,2050,DEL,3093,,0,734 FG,125,KBL,2050,DXB,2188,,0,734 FG,125,KBL,2050,ESB,1682,,0,734 FG,125,KBL,2050,GYD,2922,,0,734 FG,125,KBL,2050,HEA,2048,,0,734 FG,125,KBL,2050,KDH,2051,,0,734 FG,125,KBL,2050,KWI,2176,,0,734 FG,125,KDH,2051,DEL,3093,,0,734 FG,125,KDH,2051,DXB,2188,,0,734 FG,125,KDH,2051,KBL,2050,,0,734 FG,125,KWI,2176,JED,2072,,0,734 FG,125,KWI,2176,KBL,2050,,0,734 FG,125,SVO,2985,GYD,2922,,0,734 FI,2835,AMS,580,KEF,16,,0,75W 75T FI,2835,ARN,737,KEF,16,,0,75W FI,2835,BGO,636,SVG,666,,0,75W FI,2835,BGO,636,TRD,665,,0,75W FI,2835,BLL,608,KEF,16,,0,75W FI,2835,BOS,3448,KEF,16,,0,75W FI,2835,BRU,302,KEF,16,,0,75W FI,2835,CDG,1382,KEF,16,,0,75W FI,2835,CPH,609,KEF,16,,0,75T 75W FI,2835,DEN,3751,KEF,16,,0,75W FI,2835,EWR,3494,KEF,16,,0,75W FI,2835,FRA,340,KEF,16,,0,75W FI,2835,GLA,534,KEF,16,,0,75W FI,2835,HEL,421,KEF,16,,0,75W FI,2835,IAD,3714,KEF,16,,0,75W FI,2835,JFK,3797,KEF,16,,0,75T FI,2835,KEF,16,AMS,580,,0,75W 75T FI,2835,KEF,16,ARN,737,,0,75W FI,2835,KEF,16,BGO,636,,0,75W FI,2835,KEF,16,BLL,608,,0,75W FI,2835,KEF,16,BOS,3448,,0,75W FI,2835,KEF,16,BRU,302,,0,75W FI,2835,KEF,16,CDG,1382,,0,75W FI,2835,KEF,16,CPH,609,,0,75T 75W FI,2835,KEF,16,DEN,3751,,0,75W FI,2835,KEF,16,EWR,3494,,0,75W FI,2835,KEF,16,FRA,340,,0,75W FI,2835,KEF,16,GLA,534,,0,75W FI,2835,KEF,16,HEL,421,,0,75W FI,2835,KEF,16,IAD,3714,,0,75W FI,2835,KEF,16,JFK,3797,,0,75T FI,2835,KEF,16,LGW,502,,0,75W FI,2835,KEF,16,LHR,507,,0,75W FI,2835,KEF,16,MAN,478,,0,75W FI,2835,KEF,16,MUC,346,,0,75W FI,2835,KEF,16,OSL,644,,0,75W 75T FI,2835,KEF,16,SEA,3577,,0,75W FI,2835,KEF,16,SFB,4167,,0,75W FI,2835,KEF,16,YEG,49,,0,75W FI,2835,KEF,16,YYZ,193,,0,75W FI,2835,KEF,16,ZRH,1678,,0,75W FI,2835,LGW,502,KEF,16,,0,75W FI,2835,LHR,507,KEF,16,,0,75W FI,2835,MAN,478,KEF,16,,0,75W FI,2835,MUC,346,KEF,16,,0,75W FI,2835,OSL,644,KEF,16,,0,75W 75T FI,2835,SEA,3577,KEF,16,,0,75W FI,2835,SFB,4167,KEF,16,,0,75W FI,2835,SVG,666,KEF,16,,0,75W FI,2835,TRD,665,KEF,16,,0,75W FI,2835,YEG,49,KEF,16,,0,75W FI,2835,YYZ,193,KEF,16,,0,75W FI,2835,ZRH,1678,KEF,16,,0,75W FJ,879,AKL,2006,NAN,1960,,0,73W 73H 332 FJ,879,APW,1969,HNL,3728,,0,73H FJ,879,APW,1969,NAN,1960,,0,73H FJ,879,BNE,3320,NAN,1960,,0,73H 73W FJ,879,CXI,2252,HNL,3728,,0,73W FJ,879,CXI,2252,NAN,1960,,0,73W FJ,879,FUN,4077,SUV,1961,,0,AT5 FJ,879,HIR,4074,VLI,1997,,0,73W FJ,879,HKG,3077,NAN,1960,,0,332 FJ,879,HNL,3728,APW,1969,,0,73H FJ,879,HNL,3728,CXI,2252,,0,73W FJ,879,HNL,3728,NAN,1960,,0,73H FJ,879,ICI,5867,SUV,1961,Y,0,DHT FJ,879,KDV,5869,NAN,1960,Y,0,DHT FJ,879,KDV,5869,SUV,1961,Y,0,DHT FJ,879,LAX,3484,NAN,1960,,0,332 FJ,879,LBS,5874,NAN,1960,Y,0,AT5 FJ,879,LBS,5874,SUV,1961,Y,0,AT5 FJ,879,LKB,5873,SUV,1961,Y,0,DHT FJ,879,MEL,3339,NAN,1960,,0,73H FJ,879,NAN,1960,AKL,2006,,0,73H 332 73W FJ,879,NAN,1960,APW,1969,,0,73H FJ,879,NAN,1960,BNE,3320,,0,73H 73W FJ,879,NAN,1960,CHC,2009,,0,73H FJ,879,NAN,1960,CXI,2252,,0,73W FJ,879,NAN,1960,HKG,3077,,0,332 FJ,879,NAN,1960,HNL,3728,,0,73H FJ,879,NAN,1960,KDV,5869,Y,0,DHT FJ,879,NAN,1960,LAX,3484,,0,332 FJ,879,NAN,1960,LBS,5874,Y,0,AT5 FJ,879,NAN,1960,MEL,3339,,0,73H FJ,879,NAN,1960,RTA,5877,Y,0,DHT FJ,879,NAN,1960,SUV,1961,Y,0,AT5 FJ,879,NAN,1960,SVU,5878,Y,0,DHT FJ,879,NAN,1960,SYD,3361,,0,332 73H FJ,879,NAN,1960,TBU,1963,,0,73H 73W FJ,879,NAN,1960,TRW,1965,,0,73H 73W 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FL,1316,PDX,3720,OAK,3453,Y,0,73C 73W FL,1316,PDX,3720,OKC,3863,Y,0,733 FL,1316,PHL,3752,ATL,3682,,0,717 FL,1316,PHL,3752,DEN,3751,Y,0,73W FL,1316,PHL,3752,FLL,3533,Y,0,73W FL,1316,PHL,3752,ICT,3457,Y,0,73C FL,1316,PHL,3752,MCO,3878,Y,0,73W 73C FL,1316,PHL,3752,MDW,3747,Y,0,73W 73H FL,1316,PHL,3752,PHX,3462,Y,0,73H FL,1316,PHX,3462,ABQ,4019,Y,0,73W FL,1316,PHX,3462,ATL,3682,Y,0,73W FL,1316,PHX,3462,DEN,3751,Y,0,73H 73W 73C FL,1316,PHX,3462,FLL,3533,Y,0,73W FL,1316,PHX,3462,HOU,3566,Y,0,73H 73W FL,1316,PHX,3462,LAS,3877,Y,0,73W 73C FL,1316,PHX,3462,OAK,3453,Y,0,738 FL,1316,PHX,3462,ONT,3734,Y,0,73W FL,1316,PHX,3462,PDX,3720,Y,0,73W FL,1316,PHX,3462,PHL,3752,Y,0,73W FL,1316,PHX,3462,SAN,3731,Y,0,73W FL,1316,PHX,3462,SJC,3748,Y,0,73W FL,1316,PHX,3462,SNA,3867,Y,0,73W FL,1316,PIT,3570,ATL,3682,,0,717 73G FL,1316,PIT,3570,BWI,3849,Y,0,73W 73C FL,1316,PIT,3570,MCO,3878,,0,717 FL,1316,PIT,3570,MDW,3747,Y,0,73W FL,1316,PIT,3570,TPA,3646,,0,717 FL,1316,PUJ,1760,ATL,3682,,0,73G FL,1316,PUJ,1760,BWI,3849,,0,73G FL,1316,PUJ,1760,MDW,3747,,0,73G FL,1316,PVD,3641,BWI,3849,Y,0,73W 738 73C FL,1316,PVD,3641,LAS,3877,Y,0,73H FL,1316,PVD,3641,MCO,3878,,0,733 FL,1316,PVD,3641,MDW,3747,Y,0,73H 73W FL,1316,PVD,3641,SAN,3731,Y,0,73W FL,1316,PVD,3641,SLC,3536,Y,0,73H FL,1316,PWM,3862,BWI,3849,Y,0,73W FL,1316,RDU,3626,ATL,3682,,0,717 FL,1316,RDU,3626,BNA,3690,,0,733 FL,1316,RDU,3626,BWI,3849,Y,0,73W 733 FL,1316,RDU,3626,MCO,3878,Y,0,733 73W FL,1316,RDU,3626,MDW,3747,Y,0,73W FL,1316,RDU,3626,SFO,3469,Y,0,73W FL,1316,RDU,3626,TPA,3646,Y,0,73W FL,1316,RIC,3608,ATL,3682,,0,717 FL,1316,RNO,3807,DEN,3751,Y,0,73W FL,1316,RNO,3807,MDW,3747,Y,0,73W FL,1316,ROC,3622,MCO,3878,Y,0,73W FL,1316,ROC,3622,MDW,3747,Y,0,73W FL,1316,RSW,3793,ATL,3682,,0,717 FL,1316,RSW,3793,BWI,3849,,0,717 FL,1316,RSW,3793,DCA,3520,,0,717 FL,1316,RSW,3793,MDW,3747,,0,717 FL,1316,SAN,3731,ATL,3682,Y,0,73W FL,1316,SAN,3731,BWI,3849,Y,0,73W FL,1316,SAN,3731,DEN,3751,Y,0,73H 73C FL,1316,SAN,3731,HOU,3566,Y,0,73W 73H FL,1316,SAN,3731,LAS,3877,Y,0,73W 738 FL,1316,SAN,3731,MCI,3458,Y,0,738 FL,1316,SAN,3731,PHX,3462,Y,0,73W FL,1316,SAN,3731,RNO,3807,Y,0,73W FL,1316,SAN,3731,SAT,3621,Y,0,73W FL,1316,SAN,3731,SDF,4014,Y,0,73W FL,1316,SAN,3731,SJC,3748,Y,0,73W FL,1316,SAT,3621,ATL,3682,,0,73G FL,1316,SAT,3621,BWI,3849,Y,0,73W FL,1316,SAT,3621,CUN,1852,,0,73G FL,1316,SAT,3621,DAL,3502,Y,0,73W 73C 733 FL,1316,SAT,3621,DEN,3751,Y,0,73W FL,1316,SAT,3621,HOU,3566,Y,0,73W 735 FL,1316,SAT,3621,LAS,3877,Y,0,73W FL,1316,SAT,3621,LAX,3484,Y,0,73W FL,1316,SAT,3621,MCO,3878,Y,0,73W FL,1316,SAT,3621,MDW,3747,Y,0,73W FL,1316,SAT,3621,MEX,1824,,0,73G FL,1316,SAT,3621,PHX,3462,Y,0,73W FL,1316,SAT,3621,STL,3678,Y,0,73C FL,1316,SAT,3621,TPA,3646,Y,0,73C FL,1316,SDF,4014,ATL,3682,,0,717 FL,1316,SDF,4014,BWI,3849,Y,0,73W FL,1316,SDF,4014,MCO,3878,Y,0,73W FL,1316,SDF,4014,MDW,3747,Y,0,73W FL,1316,SEA,3577,BWI,3849,Y,0,73W FL,1316,SEA,3577,DEN,3751,Y,0,73W FL,1316,SEA,3577,LAS,3877,Y,0,73W FL,1316,SEA,3577,MDW,3747,Y,0,73W 73H FL,1316,SEA,3577,MKE,3717,Y,0,73W FL,1316,SEA,3577,OAK,3453,Y,0,73W FL,1316,SEA,3577,PHX,3462,Y,0,73C FL,1316,SEA,3577,SAN,3731,Y,0,73C FL,1316,SEA,3577,SLC,3536,Y,0,73W FL,1316,SEA,3577,SMF,3817,Y,0,73W FL,1316,SFO,3469,ATL,3682,,0,73G FL,1316,SFO,3469,DEN,3751,Y,0,73W FL,1316,SFO,3469,MDW,3747,Y,0,73W FL,1316,SFO,3469,MKE,3717,Y,0,73W FL,1316,SFO,3469,ORF,3611,Y,0,73W FL,1316,SJC,3748,DEN,3751,Y,0,73W FL,1316,SJC,3748,LAS,3877,Y,0,73C 73W FL,1316,SJC,3748,LAX,3484,Y,0,73W FL,1316,SJC,3748,SAN,3731,Y,0,73W FL,1316,SJD,1840,DEN,3751,,0,73G FL,1316,SJD,1840,SNA,3867,,0,73G FL,1316,SJU,2890,ATL,3682,Y,0,73W FL,1316,SJU,2890,FLL,3533,Y,0,73W FL,1316,SJU,2890,MCO,3878,Y,0,738 FL,1316,SJU,2890,ONT,3734,Y,0,73H FL,1316,SLC,3536,BWI,3849,Y,0,73W FL,1316,SLC,3536,LAS,3877,Y,0,73C FL,1316,SLC,3536,MDW,3747,Y,0,73H FL,1316,SLC,3536,MHT,4011,Y,0,73W FL,1316,SLC,3536,OAK,3453,Y,0,73W FL,1316,SLC,3536,PDX,3720,Y,0,733 FL,1316,SLC,3536,SEA,3577,Y,0,73W 73C FL,1316,SLC,3536,TUS,3636,Y,0,73W FL,1316,SMF,3817,DEN,3751,Y,0,73C 73H FL,1316,SMF,3817,LAS,3877,Y,0,73W 73C FL,1316,SMF,3817,LAX,3484,Y,0,73W FL,1316,SMF,3817,PHX,3462,Y,0,73W FL,1316,SMF,3817,SAN,3731,Y,0,73W FL,1316,SMF,3817,SEA,3577,Y,0,73W FL,1316,SMF,3817,SNA,3867,Y,0,73W FL,1316,SNA,3867,DEN,3751,Y,0,73W FL,1316,SNA,3867,LAS,3877,,0,73G FL,1316,SNA,3867,MEX,1824,,0,73G FL,1316,SNA,3867,OAK,3453,Y,0,73W FL,1316,SNA,3867,PHX,3462,Y,0,73W FL,1316,SNA,3867,SFO,3469,Y,0,73W FL,1316,SNA,3867,SJD,1840,,0,73G FL,1316,STL,3678,ATL,3682,,0,717 FL,1316,STL,3678,BNA,3690,Y,0,73C FL,1316,STL,3678,BWI,3849,Y,0,73W FL,1316,STL,3678,CMH,3759,Y,0,73W FL,1316,STL,3678,DAL,3502,Y,0,73W FL,1316,STL,3678,DEN,3751,Y,0,73C FL,1316,STL,3678,DFW,3670,Y,0,73W FL,1316,STL,3678,DTW,3645,Y,0,73C FL,1316,STL,3678,FLL,3533,Y,0,73W FL,1316,STL,3678,GRR,3685,Y,0,73W FL,1316,STL,3678,LAS,3877,Y,0,73C FL,1316,STL,3678,LAX,3484,Y,0,73W FL,1316,STL,3678,MCI,3458,Y,0,73C FL,1316,STL,3678,MDW,3747,Y,0,73H 73W 73C FL,1316,STL,3678,MKE,3717,Y,0,73W FL,1316,STL,3678,MSP,3858,Y,0,73W FL,1316,STL,3678,MSY,3861,Y,0,73W FL,1316,STL,3678,OKC,3863,Y,0,73C FL,1316,STL,3678,OMA,3454,Y,0,73W FL,1316,STL,3678,PHL,3752,Y,0,73C FL,1316,STL,3678,RDU,3626,Y,0,73W FL,1316,STL,3678,SAT,3621,Y,0,73C FL,1316,STL,3678,TPA,3646,Y,0,73W FL,1316,TPA,3646,ALB,3864,Y,0,73W FL,1316,TPA,3646,ATL,3682,,0,717 FL,1316,TPA,3646,BDL,3825,Y,0,73C FL,1316,TPA,3646,BHM,3811,Y,0,73W FL,1316,TPA,3646,BWI,3849,,0,717 FL,1316,TPA,3646,CAK,4112,,0,717 FL,1316,TPA,3646,CMH,3759,Y,0,73W FL,1316,TPA,3646,DAY,3627,,0,717 FL,1316,TPA,3646,EYW,3875,Y,0,73W FL,1316,TPA,3646,FLL,3533,Y,0,73W FL,1316,TPA,3646,HOU,3566,Y,0,73W 73C FL,1316,TPA,3646,IND,3585,,0,717 FL,1316,TPA,3646,ISP,3857,Y,0,73W FL,1316,TPA,3646,MCI,3458,Y,0,73C FL,1316,TPA,3646,MDW,3747,Y,0,73W FL,1316,TPA,3646,MKE,3717,Y,0,73C FL,1316,TPA,3646,MSY,3861,Y,0,73W 733 FL,1316,TPA,3646,PDX,3720,Y,0,73H FL,1316,TPA,3646,PHX,3462,Y,0,73W FL,1316,TPA,3646,PIT,3570,,0,717 FL,1316,TPA,3646,PVD,3641,Y,0,73W 73H FL,1316,TPA,3646,RDU,3626,Y,0,73W FL,1316,TPA,3646,SAT,3621,Y,0,73W FL,1316,TPA,3646,SEA,3577,Y,0,73W FL,1316,TPA,3646,SJU,2890,Y,0,738 73H FL,1316,TPA,3646,STL,3678,Y,0,73C FL,1316,TUL,3855,DEN,3751,Y,0,73W FL,1316,TUS,3636,LAS,3877,Y,0,73W FL,1316,TUS,3636,LAX,3484,Y,0,73C FL,1316,TUS,3636,MDW,3747,Y,0,73H FL,1316,TUS,3636,SJC,3748,Y,0,73W FM,4609,AOG,9844,PVG,3406,,0,737 FM,4609,BAV,6346,SHA,3391,,0,738 737 FM,4609,BKK,3885,PVG,3406,,0,738 757 FM,4609,CAN,3370,HGH,3386,,0,738 FM,4609,CAN,3370,NKG,3388,,0,738 FM,4609,CAN,3370,PVG,3406,,0,738 757 FM,4609,CAN,3370,SHA,3391,,0,738 333 757 FM,4609,CAN,3370,WNZ,6392,,0,738 FM,4609,CAN,3370,XMN,3383,,0,738 FM,4609,CGO,3375,HGH,3386,,0,738 FM,4609,CGO,3375,PVG,3406,,0,738 FM,4609,CGO,3375,SHA,3391,,0,738 FM,4609,CGQ,4380,PVG,3406,,0,738 FM,4609,CKG,3393,SHA,3391,,0,738 737 FM,4609,CKG,3393,TXN,6387,,0,737 FM,4609,CSX,3371,SHA,3391,,0,738 737 FM,4609,CTU,3395,PVG,3406,,0,738 FM,4609,CTU,3395,SHA,3391,,0,757 737 738 FM,4609,CTU,3395,TXN,6387,,0,737 FM,4609,DDG,6433,TAO,3390,,0,737 FM,4609,DLC,3404,PVG,3406,,0,738 737 FM,4609,DSN,6434,XIY,3379,,0,737 FM,4609,DYG,6353,PVG,3406,,0,738 FM,4609,FOC,3385,SHA,3391,,0,738 FM,4609,FUG,7503,SHA,3391,,0,737 FM,4609,GMP,2378,SHA,3391,,0,333 FM,4609,HAK,4120,PVG,3406,,0,738 FM,4609,HET,6345,HLD,3366,,0,738 FM,4609,HET,6345,SHA,3391,,0,738 FM,4609,HGH,3386,CAN,3370,,0,738 FM,4609,HGH,3386,CGO,3375,,0,738 FM,4609,HGH,3386,HKG,3077,Y,0,320 FM,4609,HGH,3386,PEK,3364,,0,757 FM,4609,HKG,3077,HGH,3386,Y,0,320 FM,4609,HKG,3077,NGB,3387,Y,0,320 FM,4609,HKG,3077,NKG,3388,Y,0,321 FM,4609,HKG,3077,PVG,3406,,0,330 738 FM,4609,HKG,3077,SHA,3391,,0,333 FM,4609,HKT,3179,PVG,3406,,0,757 738 FM,4609,HLD,3366,HET,6345,,0,738 FM,4609,HND,2359,SHA,3391,,0,333 FM,4609,HRB,3400,PVG,3406,,0,738 FM,4609,HTN,3398,URC,3399,,0,738 FM,4609,ICN,3930,PVG,3406,,0,738 FM,4609,INC,4085,PVG,3406,,0,738 FM,4609,JGS,6428,SHA,3391,,0,738 FM,4609,JHG,3381,KMG,3382,,0,737 FM,4609,JMU,6411,TAO,3390,,0,737 FM,4609,JNG,6944,SHA,3391,,0,737 FM,4609,JNZ,6412,PVG,3406,,0,737 FM,4609,JXA,8417,TAO,3390,,0,737 FM,4609,KHN,3384,SHA,3391,,0,738 FM,4609,KIX,3992,PVG,3406,,0,321 738 FM,4609,KMG,3382,JHG,3381,,0,737 FM,4609,KMG,3382,SHA,3391,,0,737 FM,4609,KWE,3394,PVG,3406,,0,737 738 FM,4609,KWE,3394,SHA,3391,,0,738 FM,4609,KWL,3372,PVG,3406,,0,738 757 FM,4609,KWL,3372,SHA,3391,,0,737 FM,4609,LHW,3378,SHA,3391,,0,738 FM,4609,LYG,6383,SHA,3391,,0,738 737 FM,4609,LYI,6385,SHA,3391,,0,737 FM,4609,MFM,3121,PVG,3406,Y,0,321 FM,4609,MFM,3121,SHA,3391,,0,738 FM,4609,MIG,6400,PVG,3406,,0,738 FM,4609,NDG,6413,TAO,3390,,0,737 FM,4609,NGB,3387,HKG,3077,Y,0,320 FM,4609,NKG,3388,CAN,3370,,0,738 FM,4609,NKG,3388,HKG,3077,Y,0,321 FM,4609,NNG,3373,PVG,3406,,0,738 FM,4609,NNG,3373,SHA,3391,,0,738 737 FM,4609,PEK,3364,HGH,3386,,0,757 FM,4609,PEK,3364,SHA,3391,,0,738 757 FM,4609,PUS,2372,PVG,3406,,0,738 739 FM,4609,PUS,2372,TAO,3390,Y,0,737 FM,4609,PVG,3406,AOG,9844,,0,737 FM,4609,PVG,3406,BKK,3885,,0,757 738 FM,4609,PVG,3406,CAN,3370,,0,757 738 FM,4609,PVG,3406,CGO,3375,,0,738 FM,4609,PVG,3406,CGQ,4380,,0,738 FM,4609,PVG,3406,CTU,3395,,0,738 FM,4609,PVG,3406,DLC,3404,,0,738 737 FM,4609,PVG,3406,DYG,6353,,0,738 FM,4609,PVG,3406,HAK,4120,,0,738 FM,4609,PVG,3406,HKG,3077,,0,330 738 FM,4609,PVG,3406,HKT,3179,,0,757 738 FM,4609,PVG,3406,HRB,3400,,0,738 FM,4609,PVG,3406,ICN,3930,,0,738 FM,4609,PVG,3406,INC,4085,,0,738 FM,4609,PVG,3406,JNZ,6412,,0,737 FM,4609,PVG,3406,KIX,3992,,0,321 738 FM,4609,PVG,3406,KWE,3394,,0,738 737 FM,4609,PVG,3406,KWL,3372,,0,757 738 FM,4609,PVG,3406,MFM,3121,Y,0,321 FM,4609,PVG,3406,MIG,6400,,0,738 FM,4609,PVG,3406,NNG,3373,,0,738 FM,4609,PVG,3406,PUS,2372,,0,738 739 FM,4609,PVG,3406,SHE,4144,,0,737 738 FM,4609,PVG,3406,SHP,6429,,0,737 FM,4609,PVG,3406,SWA,4302,,0,738 FM,4609,PVG,3406,SYX,4030,,0,757 FM,4609,PVG,3406,TOY,2324,,0,738 FM,4609,PVG,3406,TSA,2275,,0,738 FM,4609,PVG,3406,TSN,3368,,0,738 FM,4609,PVG,3406,TVS,8858,,0,738 FM,4609,PVG,3406,WUH,3376,,0,738 FM,4609,PVG,3406,WXN,6403,,0,737 FM,4609,PVG,3406,XIY,3379,,0,738 737 FM,4609,PVG,3406,XMN,3383,,0,738 FM,4609,PVG,3406,YCU,6430,,0,738 FM,4609,PVG,3406,ZHA,6357,,0,737 FM,4609,PVG,3406,ZUH,6355,,0,738 FM,4609,SHA,3391,BAV,6346,,0,738 737 FM,4609,SHA,3391,CAN,3370,,0,333 738 757 FM,4609,SHA,3391,CGO,3375,,0,738 FM,4609,SHA,3391,CKG,3393,,0,738 737 FM,4609,SHA,3391,CSX,3371,,0,738 737 FM,4609,SHA,3391,CTU,3395,,0,757 737 738 FM,4609,SHA,3391,FOC,3385,,0,738 FM,4609,SHA,3391,FUG,7503,,0,737 FM,4609,SHA,3391,GMP,2378,,0,333 FM,4609,SHA,3391,HET,6345,,0,738 FM,4609,SHA,3391,HKG,3077,,0,333 FM,4609,SHA,3391,HND,2359,,0,333 FM,4609,SHA,3391,JGS,6428,,0,738 FM,4609,SHA,3391,JNG,6944,,0,737 FM,4609,SHA,3391,KHN,3384,,0,738 FM,4609,SHA,3391,KMG,3382,,0,737 FM,4609,SHA,3391,KWE,3394,,0,738 FM,4609,SHA,3391,KWL,3372,,0,737 FM,4609,SHA,3391,LHW,3378,,0,738 FM,4609,SHA,3391,LYG,6383,,0,738 737 FM,4609,SHA,3391,LYI,6385,,0,737 FM,4609,SHA,3391,MFM,3121,,0,738 FM,4609,SHA,3391,NNG,3373,,0,738 737 FM,4609,SHA,3391,PEK,3364,,0,757 738 FM,4609,SHA,3391,SHE,4144,,0,738 FM,4609,SHA,3391,SJW,6347,,0,738 737 FM,4609,SHA,3391,SWA,4302,,0,738 FM,4609,SHA,3391,SZX,3374,,0,333 738 FM,4609,SHA,3391,TAO,3390,,0,737 FM,4609,SHA,3391,TSA,2275,,0,333 FM,4609,SHA,3391,TSN,3368,,0,738 737 FM,4609,SHA,3391,TXN,6387,,0,737 FM,4609,SHA,3391,TYN,3369,,0,738 FM,4609,SHA,3391,URC,3399,,0,738 FM,4609,SHA,3391,WNZ,6392,,0,737 FM,4609,SHA,3391,WUH,3376,,0,738 FM,4609,SHA,3391,XIY,3379,,0,737 FM,4609,SHA,3391,XMN,3383,,0,737 757 738 FM,4609,SHA,3391,YIH,6361,,0,737 FM,4609,SHA,3391,YNT,3392,,0,737 FM,4609,SHE,4144,PVG,3406,,0,737 738 FM,4609,SHE,4144,SHA,3391,,0,738 FM,4609,SHP,6429,PVG,3406,,0,737 FM,4609,SJW,6347,SHA,3391,,0,738 737 FM,4609,SWA,4302,SHA,3391,,0,738 FM,4609,SYX,4030,PVG,3406,,0,757 FM,4609,SZX,3374,SHA,3391,,0,333 738 FM,4609,TAO,3390,DDG,6433,,0,737 FM,4609,TAO,3390,JMU,6411,,0,737 FM,4609,TAO,3390,JXA,8417,,0,737 FM,4609,TAO,3390,NDG,6413,,0,737 FM,4609,TAO,3390,PUS,2372,Y,0,737 FM,4609,TAO,3390,SHA,3391,,0,737 FM,4609,TOY,2324,PVG,3406,,0,738 FM,4609,TSA,2275,PVG,3406,,0,738 FM,4609,TSA,2275,SHA,3391,,0,333 FM,4609,TSN,3368,PVG,3406,,0,738 FM,4609,TSN,3368,SHA,3391,,0,738 737 FM,4609,TVS,8858,PVG,3406,,0,738 FM,4609,TXN,6387,CKG,3393,,0,737 FM,4609,TXN,6387,CTU,3395,,0,737 FM,4609,TXN,6387,SHA,3391,,0,737 FM,4609,TYN,3369,SHA,3391,,0,738 FM,4609,URC,3399,HTN,3398,,0,738 FM,4609,URC,3399,SHA,3391,,0,738 FM,4609,WNZ,6392,CAN,3370,,0,738 FM,4609,WNZ,6392,SHA,3391,,0,737 FM,4609,WUH,3376,PVG,3406,,0,738 FM,4609,WUH,3376,SHA,3391,,0,738 FM,4609,WXN,6403,PVG,3406,,0,737 FM,4609,XIY,3379,DSN,6434,,0,737 FM,4609,XIY,3379,PVG,3406,,0,738 737 FM,4609,XIY,3379,SHA,3391,,0,737 FM,4609,XMN,3383,CAN,3370,,0,738 FM,4609,XMN,3383,PVG,3406,,0,738 FM,4609,XMN,3383,SHA,3391,,0,737 757 738 FM,4609,YCU,6430,PVG,3406,,0,738 FM,4609,YIH,6361,SHA,3391,,0,737 FM,4609,YNT,3392,SHA,3391,,0,737 FM,4609,ZHA,6357,PVG,3406,,0,737 FM,4609,ZUH,6355,PVG,3406,,0,738 FO,476,AAY,3979,SAH,3980,,0,CR7 FO,476,ADE,3977,AHB,2059,,0,CR7 FO,476,ADE,3977,DMM,2064,,0,CR7 FO,476,ADE,3977,GXF,5954,,0,CR7 FO,476,ADE,3977,MGQ,5687,,0,CR7 FO,476,ADE,3977,RIY,3974,,0,CR7 FO,476,ADE,3977,SAH,3980,,0,CR7 FO,476,ADE,3977,SHJ,2191,,0,CR7 FO,476,AHB,2059,ADE,3977,,0,CR7 FO,476,AHB,2059,SAH,3980,,0,CR7 FO,476,AXK,3978,SAH,3980,,0,CR7 FO,476,DMM,2064,ADE,3977,,0,CR7 FO,476,DMM,2064,TAI,3975,,0,CR7 FO,476,GXF,5954,ADE,3977,,0,CR7 FO,476,GXF,5954,SAH,3980,,0,CR7 FO,476,HOD,3976,SAH,3980,,0,CR7 FO,476,JIB,4119,SAH,3980,,0,CR7 FO,476,JIB,4119,TAI,3975,,0,CR7 FO,476,RIY,3974,ADE,3977,,0,CR7 FO,476,RIY,3974,SAH,3980,,0,CR7 FO,476,RIY,3974,SCT,3984,,0,CR7 FO,476,RIY,3974,SHJ,2191,,0,CR7 FO,476,SAH,3980,AAY,3979,,0,CR7 FO,476,SAH,3980,ADE,3977,,0,CR7 FO,476,SAH,3980,AXK,3978,,0,CR7 FO,476,SAH,3980,GXF,5954,,0,CR7 FO,476,SAH,3980,HOD,3976,,0,CR7 FO,476,SAH,3980,RIY,3974,,0,CR7 FO,476,SAH,3980,TAI,3975,,0,CR7 FO,476,SCT,3984,RIY,3974,,0,CR7 FO,476,SHJ,2191,ADE,3977,,0,CR7 FO,476,TAI,3975,DMM,2064,,0,CR7 FO,476,TAI,3975,JIB,4119,,0,CR7 FO,476,TAI,3975,SAH,3980,,0,CR7 FR,4296,AAR,607,AGP,1230,,0,738 FR,4296,AAR,607,PMI,3998,,0,738 FR,4296,AAR,607,STN,548,,0,738 FR,4296,ACE,1055,BCN,1218,,0,738 FR,4296,ACE,1055,BGY,1525,,0,738 FR,4296,ACE,1055,BHX,469,,0,738 FR,4296,ACE,1055,BLQ,1538,,0,738 FR,4296,ACE,1055,BOH,494,,0,738 FR,4296,ACE,1055,BRS,490,,0,738 FR,4296,ACE,1055,BVA,1367,,0,738 FR,4296,ACE,1055,CRL,304,,0,738 FR,4296,ACE,1055,DUB,599,,0,738 FR,4296,ACE,1055,EDI,535,,0,738 FR,4296,ACE,1055,EIN,585,,0,738 FR,4296,ACE,1055,EMA,523,,0,738 FR,4296,ACE,1055,FKB,4166,,0,738 FR,4296,ACE,1055,HHN,355,,0,738 FR,4296,ACE,1055,LBA,517,,0,738 FR,4296,ACE,1055,LPL,491,,0,738 FR,4296,ACE,1055,LTN,492,,0,738 FR,4296,ACE,1055,MAD,1229,,0,738 FR,4296,ACE,1055,MAN,478,,0,738 FR,4296,ACE,1055,NOC,600,,0,738 FR,4296,ACE,1055,NRN,4198,,0,738 FR,4296,ACE,1055,ORK,596,,0,738 FR,4296,ACE,1055,PIK,537,,0,738 FR,4296,ACE,1055,SCQ,1243,,0,738 FR,4296,ACE,1055,SDR,1251,,0,738 FR,4296,ACE,1055,SNN,603,,0,738 FR,4296,ACE,1055,STN,548,,0,738 FR,4296,ACE,1055,SVQ,1253,,0,738 FR,4296,ACE,1055,ZAZ,1252,,0,738 FR,4296,AGA,1064,CRL,304,,0,738 FR,4296,AGA,1064,MRS,1353,,0,738 FR,4296,AGP,1230,AAR,607,,0,738 FR,4296,AGP,1230,BCN,1218,,0,738 FR,4296,AGP,1230,BGY,1525,,0,738 FR,4296,AGP,1230,BHX,469,,0,738 FR,4296,AGP,1230,BLL,608,,0,738 FR,4296,AGP,1230,BLQ,1538,,0,738 FR,4296,AGP,1230,BOH,494,,0,738 FR,4296,AGP,1230,BRE,353,,0,738 FR,4296,AGP,1230,BRS,490,,0,738 FR,4296,AGP,1230,BRU,302,,0,738 FR,4296,AGP,1230,BTS,1745,,0,738 FR,4296,AGP,1230,BVA,1367,,0,738 FR,4296,AGP,1230,CGN,344,,0,738 FR,4296,AGP,1230,CIA,1553,,0,738 FR,4296,AGP,1230,CRL,304,,0,738 FR,4296,AGP,1230,DTM,373,,0,738 FR,4296,AGP,1230,DUB,599,,0,738 FR,4296,AGP,1230,EDI,535,,0,738 FR,4296,AGP,1230,EIN,585,,0,738 FR,4296,AGP,1230,EMA,523,,0,738 FR,4296,AGP,1230,FKB,4166,,0,738 FR,4296,AGP,1230,FMM,3986,,0,738 FR,4296,AGP,1230,FMO,341,,0,738 FR,4296,AGP,1230,GSE,691,,0,738 FR,4296,AGP,1230,HAU,645,,0,738 FR,4296,AGP,1230,HHN,355,,0,738 FR,4296,AGP,1230,IBZ,1225,,0,738 FR,4296,AGP,1230,KRK,669,,0,738 FR,4296,AGP,1230,LBA,517,,0,738 FR,4296,AGP,1230,LPL,491,,0,738 FR,4296,AGP,1230,MAN,478,,0,738 FR,4296,AGP,1230,MMX,708,,0,738 FR,4296,AGP,1230,MRS,1353,,0,738 FR,4296,AGP,1230,NOC,600,,0,738 FR,4296,AGP,1230,NRN,4198,,0,738 FR,4296,AGP,1230,NUE,347,,0,738 FR,4296,AGP,1230,NYO,699,,0,738 FR,4296,AGP,1230,ORK,596,,0,738 FR,4296,AGP,1230,PIK,537,,0,738 FR,4296,AGP,1230,PMI,3998,,0,738 FR,4296,AGP,1230,RYG,657,,0,738 FR,4296,AGP,1230,SCQ,1243,,0,738 FR,4296,AGP,1230,SDR,1251,,0,738 FR,4296,AGP,1230,SNN,603,,0,738 FR,4296,AGP,1230,STN,548,,0,738 FR,4296,AGP,1230,TMP,458,,0,738 FR,4296,AGP,1230,TRF,664,,0,738 FR,4296,AGP,1230,TSF,1539,,0,738 FR,4296,AGP,1230,VST,733,,0,738 FR,4296,AGP,1230,WRO,680,,0,738 FR,4296,AHO,1517,AOI,4309,,0,738 FR,4296,AHO,1517,BGY,1525,,0,738 FR,4296,AHO,1517,BLL,608,,0,738 FR,4296,AHO,1517,BLQ,1538,,0,738 FR,4296,AHO,1517,BTS,1745,,0,738 FR,4296,AHO,1517,BVA,1367,,0,738 FR,4296,AHO,1517,CIA,1553,,0,738 FR,4296,AHO,1517,CRL,304,,0,738 FR,4296,AHO,1517,CUF,1534,,0,738 FR,4296,AHO,1517,DTM,373,,0,738 FR,4296,AHO,1517,DUB,599,,0,738 FR,4296,AHO,1517,EIN,585,,0,738 FR,4296,AHO,1517,FMM,3986,,0,738 FR,4296,AHO,1517,GRO,1222,,0,738 FR,4296,AHO,1517,GSE,691,,0,738 FR,4296,AHO,1517,HHN,355,,0,738 FR,4296,AHO,1517,LTN,492,,0,738 FR,4296,AHO,1517,MAD,1229,,0,738 FR,4296,AHO,1517,NRN,4198,,0,738 FR,4296,AHO,1517,NYO,699,,0,738 FR,4296,AHO,1517,PMF,1531,,0,738 FR,4296,AHO,1517,PSA,1562,,0,738 FR,4296,AHO,1517,STN,548,,0,738 FR,4296,AHO,1517,TRF,664,,0,738 FR,4296,AHO,1517,TRS,1545,,0,738 FR,4296,AHO,1517,TSF,1539,,0,738 FR,4296,ALC,1212,BGY,1525,,0,738 FR,4296,ALC,1212,BHX,469,,0,738 FR,4296,ALC,1212,BLL,608,,0,738 FR,4296,ALC,1212,BLQ,1538,,0,738 FR,4296,ALC,1212,BOH,494,,0,738 FR,4296,ALC,1212,BRE,353,,0,738 FR,4296,ALC,1212,BRS,490,,0,738 FR,4296,ALC,1212,BRU,302,,0,738 FR,4296,ALC,1212,BVA,1367,,0,738 FR,4296,ALC,1212,CRL,304,,0,738 FR,4296,ALC,1212,DUB,599,,0,738 FR,4296,ALC,1212,EDI,535,,0,738 FR,4296,ALC,1212,EIN,585,,0,738 FR,4296,ALC,1212,EMA,523,,0,738 FR,4296,ALC,1212,FKB,4166,,0,738 FR,4296,ALC,1212,FMM,3986,,0,738 FR,4296,ALC,1212,GSE,691,,0,738 FR,4296,ALC,1212,HAU,645,,0,738 FR,4296,ALC,1212,HHN,355,,0,738 FR,4296,ALC,1212,KIR,601,,0,738 FR,4296,ALC,1212,KRK,669,,0,738 FR,4296,ALC,1212,KTW,671,,0,738 FR,4296,ALC,1212,KUN,3956,,0,738 FR,4296,ALC,1212,LBA,517,,0,738 FR,4296,ALC,1212,LPL,491,,0,738 FR,4296,ALC,1212,MAN,478,,0,738 FR,4296,ALC,1212,MST,582,,0,738 FR,4296,ALC,1212,NOC,600,,0,738 FR,4296,ALC,1212,NRN,4198,,0,738 FR,4296,ALC,1212,NUE,347,,0,738 FR,4296,ALC,1212,NYO,699,,0,738 FR,4296,ALC,1212,PIK,537,,0,738 FR,4296,ALC,1212,RYG,657,,0,738 FR,4296,ALC,1212,SCQ,1243,,0,738 FR,4296,ALC,1212,SNN,603,,0,738 FR,4296,ALC,1212,STN,548,,0,738 FR,4296,ALC,1212,TMP,458,,0,738 FR,4296,ALC,1212,TRF,664,,0,738 FR,4296,ALC,1212,VST,733,,0,738 FR,4296,ALC,1212,VXO,711,,0,738 FR,4296,ALC,1212,WMI,8414,,0,738 FR,4296,ALC,1212,WRO,680,,0,738 FR,4296,AOI,4309,AHO,1517,,0,738 FR,4296,AOI,4309,CRL,304,,0,738 FR,4296,AOI,4309,NRN,4198,,0,738 FR,4296,AOI,4309,STN,548,,0,738 FR,4296,AOI,4309,TPS,1515,,0,738 FR,4296,ATH,3941,BGY,1525,,0,738 FR,4296,ATH,3941,CHQ,1474,,0,738 FR,4296,ATH,3941,PFO,1198,,0,738 FR,4296,ATH,3941,RHO,1472,,0,738 FR,4296,ATH,3941,SKG,1486,,0,738 FR,4296,ATH,3941,STN,548,,0,738 FR,4296,BCN,1218,ACE,1055,,0,738 FR,4296,BCN,1218,AGP,1230,,0,738 FR,4296,BCN,1218,BGY,1525,,0,738 FR,4296,BCN,1218,BHX,469,,0,738 FR,4296,BCN,1218,BLQ,1538,,0,738 FR,4296,BCN,1218,BRU,302,,0,738 FR,4296,BCN,1218,BUD,1489,,0,738 FR,4296,BCN,1218,BVA,1367,,0,738 FR,4296,BCN,1218,CIA,1553,,0,738 FR,4296,BCN,1218,CRL,304,,0,738 FR,4296,BCN,1218,DUB,599,,0,738 FR,4296,BCN,1218,EDI,535,,0,738 FR,4296,BCN,1218,EMA,523,,0,738 FR,4296,BCN,1218,FCO,1555,,0,738 FR,4296,BCN,1218,FEZ,1066,,0,738 FR,4296,BCN,1218,FUE,1051,,0,738 FR,4296,BCN,1218,IBZ,1225,,0,738 FR,4296,BCN,1218,LPA,1054,,0,738 FR,4296,BCN,1218,LPL,491,,0,738 FR,4296,BCN,1218,MAH,1231,,0,738 FR,4296,BCN,1218,MAN,478,,0,738 FR,4296,BCN,1218,NDR,5673,,0,738 FR,4296,BCN,1218,NYO,699,,0,738 FR,4296,BCN,1218,OPO,1636,,0,738 FR,4296,BCN,1218,PIK,537,,0,738 FR,4296,BCN,1218,PMI,3998,,0,738 FR,4296,BCN,1218,RYG,657,,0,738 FR,4296,BCN,1218,SCQ,1243,,0,738 FR,4296,BCN,1218,SDR,1251,,0,738 FR,4296,BCN,1218,STN,548,,0,738 FR,4296,BCN,1218,SVQ,1253,,0,738 FR,4296,BCN,1218,TFN,1057,,0,738 FR,4296,BCN,1218,TFS,1056,,0,738 FR,4296,BCN,1218,TRN,1526,,0,738 FR,4296,BCN,1218,TSF,1539,,0,738 FR,4296,BCN,1218,VLL,1247,,0,738 FR,4296,BCN,1218,VNO,3959,,0,738 FR,4296,BCN,1218,WMI,8414,,0,738 FR,4296,BCN,1218,XRY,1226,,0,738 FR,4296,BDS,1506,BGY,1525,,0,738 FR,4296,BDS,1506,BLQ,1538,,0,738 FR,4296,BDS,1506,BVA,1367,,0,738 FR,4296,BDS,1506,CIA,1553,,0,738 FR,4296,BDS,1506,CRL,304,,0,738 FR,4296,BDS,1506,EIN,585,,0,738 FR,4296,BDS,1506,GRO,1222,,0,738 FR,4296,BDS,1506,PSA,1562,,0,738 FR,4296,BDS,1506,STN,548,,0,738 FR,4296,BDS,1506,TRN,1526,,0,738 FR,4296,BDS,1506,TSF,1539,,0,738 FR,4296,BES,1403,MRS,1353,,0,738 FR,4296,BGY,1525,ACE,1055,,0,738 FR,4296,BGY,1525,AGP,1230,,0,738 FR,4296,BGY,1525,AHO,1517,,0,738 FR,4296,BGY,1525,ALC,1212,,0,738 FR,4296,BGY,1525,ATH,3941,,0,738 FR,4296,BGY,1525,BCN,1218,,0,738 FR,4296,BGY,1525,BDS,1506,,0,738 FR,4296,BGY,1525,BLL,608,,0,738 FR,4296,BGY,1525,BRE,353,,0,738 FR,4296,BGY,1525,BRI,1501,,0,738 FR,4296,BGY,1525,BRS,490,,0,738 FR,4296,BGY,1525,BTS,1745,,0,738 FR,4296,BGY,1525,BUD,1489,,0,738 FR,4296,BGY,1525,BVA,1367,,0,738 FR,4296,BGY,1525,CAG,1519,,0,738 FR,4296,BGY,1525,CHQ,1474,,0,738 FR,4296,BGY,1525,CRL,304,,0,738 FR,4296,BGY,1525,CTA,1509,,0,738 FR,4296,BGY,1525,DUB,599,,0,738 FR,4296,BGY,1525,EIN,585,,0,738 FR,4296,BGY,1525,EMA,523,,0,738 FR,4296,BGY,1525,FEZ,1066,,0,738 FR,4296,BGY,1525,FUE,1051,,0,738 FR,4296,BGY,1525,GRO,1222,,0,738 FR,4296,BGY,1525,GSE,691,,0,738 FR,4296,BGY,1525,HHN,355,,0,738 FR,4296,BGY,1525,IBZ,1225,,0,738 FR,4296,BGY,1525,KGS,1458,,0,738 FR,4296,BGY,1525,KRK,669,,0,738 FR,4296,BGY,1525,LBA,517,,0,738 FR,4296,BGY,1525,LBC,364,,0,738 FR,4296,BGY,1525,LDE,1276,,0,738 FR,4296,BGY,1525,LPA,1054,,0,738 FR,4296,BGY,1525,LPP,441,,0,738 FR,4296,BGY,1525,MAD,1229,,0,738 FR,4296,BGY,1525,MAN,478,,0,738 FR,4296,BGY,1525,MLA,1606,,0,738 FR,4296,BGY,1525,NRN,4198,,0,738 FR,4296,BGY,1525,NYO,699,,0,738 FR,4296,BGY,1525,OPO,1636,,0,738 FR,4296,BGY,1525,PMI,3998,,0,738 FR,4296,BGY,1525,PMO,1512,,0,738 FR,4296,BGY,1525,PSR,1505,,0,738 FR,4296,BGY,1525,RAK,1075,,0,738 FR,4296,BGY,1525,RHO,1472,,0,738 FR,4296,BGY,1525,RIX,3953,,0,738 FR,4296,BGY,1525,RYG,657,,0,738 FR,4296,BGY,1525,SCQ,1243,,0,738 FR,4296,BGY,1525,SDR,1251,,0,738 FR,4296,BGY,1525,SKG,1486,,0,738 FR,4296,BGY,1525,STN,548,,0,738 FR,4296,BGY,1525,SUF,1508,,0,738 FR,4296,BGY,1525,SVQ,1253,,0,738 FR,4296,BGY,1525,SXF,337,,0,738 FR,4296,BGY,1525,TFS,1056,,0,738 FR,4296,BGY,1525,TLL,415,,0,738 FR,4296,BGY,1525,TMP,458,,0,738 FR,4296,BGY,1525,TPS,1515,,0,738 FR,4296,BGY,1525,VLC,1246,,0,738 FR,4296,BGY,1525,VNO,3959,,0,738 FR,4296,BGY,1525,WMI,8414,,0,738 FR,4296,BGY,1525,WRO,680,,0,738 FR,4296,BGY,1525,ZAZ,1252,,0,738 FR,4296,BHX,469,ACE,1055,,0,738 FR,4296,BHX,469,AGP,1230,,0,738 FR,4296,BHX,469,ALC,1212,,0,738 FR,4296,BHX,469,BCN,1218,,0,738 FR,4296,BHX,469,BTS,1745,,0,738 FR,4296,BHX,469,BZG,5591,,0,738 FR,4296,BHX,469,DUB,599,,0,738 FR,4296,BHX,469,FAO,1626,,0,738 FR,4296,BHX,469,FUE,1051,,0,738 FR,4296,BHX,469,GDN,668,,0,738 FR,4296,BHX,469,IBZ,1225,,0,738 FR,4296,BHX,469,KRK,669,,0,738 FR,4296,BHX,469,KTW,671,,0,738 FR,4296,BHX,469,KUN,3956,,0,738 FR,4296,BHX,469,LDY,468,,0,738 FR,4296,BHX,469,LPA,1054,,0,738 FR,4296,BHX,469,MJV,1227,,0,738 FR,4296,BHX,469,MLA,1606,,0,738 FR,4296,BHX,469,PMI,3998,,0,738 FR,4296,BHX,469,REU,1236,,0,738 FR,4296,BHX,469,TFS,1056,,0,738 FR,4296,BIQ,1280,CRL,304,,0,738 FR,4296,BIQ,1280,DUB,599,,0,738 FR,4296,BIQ,1280,NYO,699,,0,738 FR,4296,BIQ,1280,STN,548,,0,738 FR,4296,BLL,608,AGP,1230,,0,738 FR,4296,BLL,608,AHO,1517,,0,738 FR,4296,BLL,608,ALC,1212,,0,738 FR,4296,BLL,608,BGY,1525,,0,738 FR,4296,BLL,608,BUD,1489,,0,738 FR,4296,BLL,608,CCF,1352,,0,738 FR,4296,BLL,608,CFU,1460,,0,738 FR,4296,BLL,608,CHQ,1474,,0,738 FR,4296,BLL,608,CIA,1553,,0,738 FR,4296,BLL,608,FAO,1626,,0,738 FR,4296,BLL,608,GRO,1222,,0,738 FR,4296,BLL,608,MLA,1606,,0,738 FR,4296,BLL,608,PMI,3998,,0,738 FR,4296,BLL,608,PSA,1562,,0,738 FR,4296,BLL,608,STN,548,,0,738 FR,4296,BLL,608,TFS,1056,,0,738 FR,4296,BLL,608,TSF,1539,,0,738 FR,4296,BLL,608,ZAD,1209,,0,738 FR,4296,BLQ,1538,ACE,1055,,0,738 FR,4296,BLQ,1538,AGP,1230,,0,738 FR,4296,BLQ,1538,AHO,1517,,0,738 FR,4296,BLQ,1538,ALC,1212,,0,738 FR,4296,BLQ,1538,BCN,1218,,0,738 FR,4296,BLQ,1538,BDS,1506,,0,738 FR,4296,BLQ,1538,BOD,1264,,0,738 FR,4296,BLQ,1538,BRI,1501,,0,738 FR,4296,BLQ,1538,BRS,490,,0,738 FR,4296,BLQ,1538,BVA,1367,,0,738 FR,4296,BLQ,1538,CRL,304,,0,738 FR,4296,BLQ,1538,CTA,1509,,0,738 FR,4296,BLQ,1538,DUB,599,,0,738 FR,4296,BLQ,1538,EDI,535,,0,738 FR,4296,BLQ,1538,IBZ,1225,,0,738 FR,4296,BLQ,1538,KRK,669,,0,738 FR,4296,BLQ,1538,MAD,1229,,0,738 FR,4296,BLQ,1538,MAN,478,,0,738 FR,4296,BLQ,1538,MLA,1606,,0,738 FR,4296,BLQ,1538,NRN,4198,,0,738 FR,4296,BLQ,1538,OPO,1636,,0,738 FR,4296,BLQ,1538,PMI,3998,,0,738 FR,4296,BLQ,1538,PMO,1512,,0,738 FR,4296,BLQ,1538,RYG,657,,0,738 FR,4296,BLQ,1538,STN,548,,0,738 FR,4296,BLQ,1538,SUF,1508,,0,738 FR,4296,BLQ,1538,SVQ,1253,,0,738 FR,4296,BLQ,1538,TFS,1056,,0,738 FR,4296,BLQ,1538,TPS,1515,,0,738 FR,4296,BLQ,1538,VLC,1246,,0,738 FR,4296,BLQ,1538,WMI,8414,,0,738 FR,4296,BLQ,1538,WRO,680,,0,738 FR,4296,BOD,1264,BLQ,1538,,0,738 FR,4296,BOD,1264,CIA,1553,,0,738 FR,4296,BOD,1264,CRL,304,,0,738 FR,4296,BOD,1264,EDI,535,,0,738 FR,4296,BOD,1264,MRS,1353,,0,738 FR,4296,BOD,1264,OPO,1636,,0,738 FR,4296,BOD,1264,STN,548,,0,738 FR,4296,BOD,1264,SVQ,1253,,0,738 FR,4296,BOH,494,ACE,1055,,0,738 FR,4296,BOH,494,AGP,1230,,0,738 FR,4296,BOH,494,ALC,1212,,0,738 FR,4296,BOH,494,CCF,1352,,0,738 FR,4296,BOH,494,CHQ,1474,,0,738 FR,4296,BOH,494,FAO,1626,,0,738 FR,4296,BOH,494,FUE,1051,,0,738 FR,4296,BOH,494,GRO,1222,,0,738 FR,4296,BOH,494,IBZ,1225,,0,738 FR,4296,BOH,494,LPA,1054,,0,738 FR,4296,BOH,494,MJV,1227,,0,738 FR,4296,BOH,494,MLA,1606,,0,738 FR,4296,BOH,494,PMI,3998,,0,738 FR,4296,BOH,494,PSA,1562,,0,738 FR,4296,BOH,494,RHO,1472,,0,738 FR,4296,BOH,494,TFS,1056,,0,738 FR,4296,BRE,353,AGP,1230,,0,738 FR,4296,BRE,353,ALC,1212,,0,738 FR,4296,BRE,353,BGY,1525,,0,738 FR,4296,BRE,353,BZR,1360,,0,738 FR,4296,BRE,353,CFU,1460,,0,738 FR,4296,BRE,353,CHQ,1474,,0,738 FR,4296,BRE,353,DUB,599,,0,738 FR,4296,BRE,353,EDI,535,,0,738 FR,4296,BRE,353,FAO,1626,,0,738 FR,4296,BRE,353,FUE,1051,,0,738 FR,4296,BRE,353,GRO,1222,,0,738 FR,4296,BRE,353,HAU,645,,0,738 FR,4296,BRE,353,LPA,1054,,0,738 FR,4296,BRE,353,MAN,478,,0,738 FR,4296,BRE,353,NYO,699,,0,738 FR,4296,BRE,353,OPO,1636,,0,738 FR,4296,BRE,353,PMI,3998,,0,738 FR,4296,BRE,353,RIX,3953,,0,738 FR,4296,BRE,353,SKG,1486,,0,738 FR,4296,BRE,353,STN,548,,0,738 FR,4296,BRE,353,TFS,1056,,0,738 FR,4296,BRE,353,TLL,415,,0,738 FR,4296,BRE,353,TMP,458,,0,738 FR,4296,BRE,353,TSF,1539,,0,738 FR,4296,BRE,353,VNO,3959,,0,738 FR,4296,BRI,1501,BGY,1525,,0,738 FR,4296,BRI,1501,BLQ,1538,,0,738 FR,4296,BRI,1501,BVA,1367,,0,738 FR,4296,BRI,1501,CAG,1519,,0,738 FR,4296,BRI,1501,CIA,1553,,0,738 FR,4296,BRI,1501,CRL,304,,0,738 FR,4296,BRI,1501,DUB,599,,0,738 FR,4296,BRI,1501,FKB,4166,,0,738 FR,4296,BRI,1501,GOA,1528,,0,738 FR,4296,BRI,1501,HHN,355,,0,738 FR,4296,BRI,1501,MLA,1606,,0,738 FR,4296,BRI,1501,MST,582,,0,738 FR,4296,BRI,1501,NRN,4198,,0,738 FR,4296,BRI,1501,PSA,1562,,0,738 FR,4296,BRI,1501,STN,548,,0,738 FR,4296,BRI,1501,SVQ,1253,,0,738 FR,4296,BRI,1501,TRN,1526,,0,738 FR,4296,BRI,1501,TRS,1545,,0,738 FR,4296,BRI,1501,TSF,1539,,0,738 FR,4296,BRI,1501,VLC,1246,,0,738 FR,4296,BRQ,1588,STN,548,,0,738 FR,4296,BRS,490,ACE,1055,,0,738 FR,4296,BRS,490,AGP,1230,,0,738 FR,4296,BRS,490,ALC,1212,,0,738 FR,4296,BRS,490,BGY,1525,,0,738 FR,4296,BRS,490,BLQ,1538,,0,738 FR,4296,BRS,490,BUD,1489,,0,738 FR,4296,BRS,490,BZR,1360,,0,738 FR,4296,BRS,490,CHQ,1474,,0,738 FR,4296,BRS,490,DUB,599,,0,738 FR,4296,BRS,490,EGC,1265,,0,738 FR,4296,BRS,490,FAO,1626,,0,738 FR,4296,BRS,490,GDN,668,,0,738 FR,4296,BRS,490,GRO,1222,,0,738 FR,4296,BRS,490,IBZ,1225,,0,738 FR,4296,BRS,490,KUN,3956,,0,738 FR,4296,BRS,490,LIG,1270,,0,738 FR,4296,BRS,490,LPA,1054,,0,738 FR,4296,BRS,490,MLA,1606,,0,738 FR,4296,BRS,490,NOC,600,,0,738 FR,4296,BRS,490,PMI,3998,,0,738 FR,4296,BRS,490,POZ,674,,0,738 FR,4296,BRS,490,REU,1236,,0,738 FR,4296,BRS,490,RZE,675,,0,738 FR,4296,BRS,490,TFS,1056,,0,738 FR,4296,BRS,490,TSF,1539,,0,738 FR,4296,BRS,490,VLC,1246,,0,738 FR,4296,BRS,490,WMI,8414,,0,738 FR,4296,BRS,490,WRO,680,,0,738 FR,4296,BRU,302,AGP,1230,,0,738 FR,4296,BRU,302,ALC,1212,,0,738 FR,4296,BRU,302,BCN,1218,,0,738 FR,4296,BRU,302,FCO,1555,,0,738 FR,4296,BRU,302,LIS,1638,,0,738 FR,4296,BRU,302,OPO,1636,,0,738 FR,4296,BRU,302,PMI,3998,,0,738 FR,4296,BRU,302,TSF,1539,,0,738 FR,4296,BRU,302,VLC,1246,,0,738 FR,4296,BSL,1423,DUB,599,,0,738 FR,4296,BSL,1423,STN,548,,0,738 FR,4296,BTS,1745,AGP,1230,,0,738 FR,4296,BTS,1745,AHO,1517,,0,738 FR,4296,BTS,1745,BGY,1525,,0,738 FR,4296,BTS,1745,BHX,469,,0,738 FR,4296,BTS,1745,BVA,1367,,0,738 FR,4296,BTS,1745,CIA,1553,,0,738 FR,4296,BTS,1745,CRL,304,,0,738 FR,4296,BTS,1745,DUB,599,,0,738 FR,4296,BTS,1745,EDI,535,,0,738 FR,4296,BTS,1745,GRO,1222,,0,738 FR,4296,BTS,1745,LPL,491,,0,738 FR,4296,BTS,1745,LTN,492,,0,738 FR,4296,BTS,1745,PMI,3998,,0,738 FR,4296,BTS,1745,STN,548,,0,738 FR,4296,BTS,1745,TPS,1515,,0,738 FR,4296,BUD,1489,BCN,1218,,0,738 FR,4296,BUD,1489,BGY,1525,,0,738 FR,4296,BUD,1489,BLL,608,,0,738 FR,4296,BUD,1489,BRS,490,,0,738 FR,4296,BUD,1489,BVA,1367,,0,738 FR,4296,BUD,1489,CIA,1553,,0,738 FR,4296,BUD,1489,CRL,304,,0,738 FR,4296,BUD,1489,DUB,599,,0,738 FR,4296,BUD,1489,MAD,1229,,0,738 FR,4296,BUD,1489,MAN,478,,0,738 FR,4296,BUD,1489,PSA,1562,,0,738 FR,4296,BUD,1489,STN,548,,0,738 FR,4296,BUD,1489,TMP,458,,0,738 FR,4296,BUD,1489,TSF,1539,,0,738 FR,4296,BVA,1367,ACE,1055,,0,738 FR,4296,BVA,1367,AGP,1230,,0,738 FR,4296,BVA,1367,AHO,1517,,0,738 FR,4296,BVA,1367,ALC,1212,,0,738 FR,4296,BVA,1367,BCN,1218,,0,738 FR,4296,BVA,1367,BDS,1506,,0,738 FR,4296,BVA,1367,BGY,1525,,0,738 FR,4296,BVA,1367,BLQ,1538,,0,738 FR,4296,BVA,1367,BRI,1501,,0,738 FR,4296,BVA,1367,BTS,1745,,0,738 FR,4296,BVA,1367,BUD,1489,,0,738 FR,4296,BVA,1367,BZR,1360,,0,738 FR,4296,BVA,1367,CAG,1519,,0,738 FR,4296,BVA,1367,CIA,1553,,0,738 FR,4296,BVA,1367,DUB,599,,0,738 FR,4296,BVA,1367,FAO,1626,,0,738 FR,4296,BVA,1367,FEZ,1066,,0,738 FR,4296,BVA,1367,GRO,1222,,0,738 FR,4296,BVA,1367,GSE,691,,0,738 FR,4296,BVA,1367,KRK,669,,0,738 FR,4296,BVA,1367,LIS,1638,,0,738 FR,4296,BVA,1367,MAD,1229,,0,738 FR,4296,BVA,1367,MAN,478,,0,738 FR,4296,BVA,1367,NDR,5673,,0,738 FR,4296,BVA,1367,NYO,699,,0,738 FR,4296,BVA,1367,OPO,1636,,0,738 FR,4296,BVA,1367,OUD,1070,,0,738 FR,4296,BVA,1367,PMI,3998,,0,738 FR,4296,BVA,1367,PSA,1562,,0,738 FR,4296,BVA,1367,PSR,1505,,0,738 FR,4296,BVA,1367,PUY,1203,,0,738 FR,4296,BVA,1367,RAK,1075,,0,738 FR,4296,BVA,1367,RBA,1072,,0,738 FR,4296,BVA,1367,RYG,657,,0,738 FR,4296,BVA,1367,SNN,603,,0,738 FR,4296,BVA,1367,SVQ,1253,,0,738 FR,4296,BVA,1367,TFS,1056,,0,738 FR,4296,BVA,1367,TNG,1080,,0,738 FR,4296,BVA,1367,TPS,1515,,0,738 FR,4296,BVA,1367,TRS,1545,,0,738 FR,4296,BVA,1367,TSF,1539,,0,738 FR,4296,BVA,1367,VLC,1246,,0,738 FR,4296,BVA,1367,VNO,3959,,0,738 FR,4296,BVA,1367,WMI,8414,,0,738 FR,4296,BVA,1367,ZAD,1209,,0,738 FR,4296,BVA,1367,ZAZ,1252,,0,738 FR,4296,BVE,1278,STN,548,,0,738 FR,4296,BZG,5591,BHX,469,,0,738 FR,4296,BZG,5591,DUB,599,,0,738 FR,4296,BZG,5591,STN,548,,0,738 FR,4296,BZR,1360,BRE,353,,0,738 FR,4296,BZR,1360,BRS,490,,0,738 FR,4296,BZR,1360,BVA,1367,,0,738 FR,4296,BZR,1360,EDI,535,,0,738 FR,4296,BZR,1360,LTN,492,,0,738 FR,4296,BZR,1360,MAN,478,,0,738 FR,4296,BZR,1360,NRN,4198,,0,738 FR,4296,BZR,1360,NYO,699,,0,738 FR,4296,BZR,1360,RYG,657,,0,738 FR,4296,CAG,1519,BGY,1525,,0,738 FR,4296,CAG,1519,BRI,1501,,0,738 FR,4296,CAG,1519,BVA,1367,,0,738 FR,4296,CAG,1519,CIA,1553,,0,738 FR,4296,CAG,1519,CRL,304,,0,738 FR,4296,CAG,1519,CUF,1534,,0,738 FR,4296,CAG,1519,FKB,4166,,0,738 FR,4296,CAG,1519,GOA,1528,,0,738 FR,4296,CAG,1519,GRO,1222,,0,738 FR,4296,CAG,1519,HHN,355,,0,738 FR,4296,CAG,1519,KRK,669,,0,738 FR,4296,CAG,1519,KUN,3956,,0,738 FR,4296,CAG,1519,MAD,1229,,0,738 FR,4296,CAG,1519,MRS,1353,,0,738 FR,4296,CAG,1519,NRN,4198,,0,738 FR,4296,CAG,1519,PEG,1567,,0,738 FR,4296,CAG,1519,PMF,1531,,0,738 FR,4296,CAG,1519,PSA,1562,,0,738 FR,4296,CAG,1519,PSR,1505,,0,738 FR,4296,CAG,1519,TPS,1515,,0,738 FR,4296,CAG,1519,TSF,1539,,0,738 FR,4296,CCF,1352,BLL,608,,0,738 FR,4296,CCF,1352,BOH,494,,0,738 FR,4296,CCF,1352,CRL,304,,0,738 FR,4296,CCF,1352,DUB,599,,0,738 FR,4296,CCF,1352,EIN,585,,0,738 FR,4296,CCF,1352,EMA,523,,0,738 FR,4296,CCF,1352,LPL,491,,0,738 FR,4296,CCF,1352,OPO,1636,,0,738 FR,4296,CCF,1352,PIK,537,,0,738 FR,4296,CCF,1352,STN,548,,0,738 FR,4296,CFE,1330,OPO,1636,,0,738 FR,4296,CFU,1460,BLL,608,,0,738 FR,4296,CFU,1460,BRE,353,,0,738 FR,4296,CFU,1460,CIA,1553,,0,738 FR,4296,CFU,1460,CRL,304,,0,738 FR,4296,CFU,1460,EDI,535,,0,738 FR,4296,CFU,1460,EIN,585,,0,738 FR,4296,CFU,1460,EMA,523,,0,738 FR,4296,CFU,1460,LBA,517,,0,738 FR,4296,CFU,1460,MAN,478,,0,738 FR,4296,CFU,1460,NRN,4198,,0,738 FR,4296,CFU,1460,PIK,537,,0,738 FR,4296,CFU,1460,RYG,657,,0,738 FR,4296,CFU,1460,STN,548,,0,738 FR,4296,CGN,344,AGP,1230,,0,738 FR,4296,CGN,344,FAO,1626,,0,738 FR,4296,CGN,344,GRO,1222,,0,738 FR,4296,CGN,344,PMI,3998,,0,738 FR,4296,CGN,344,TFS,1056,,0,738 FR,4296,CHQ,1474,ATH,3941,,0,738 FR,4296,CHQ,1474,BGY,1525,,0,738 FR,4296,CHQ,1474,BLL,608,,0,738 FR,4296,CHQ,1474,BOH,494,,0,738 FR,4296,CHQ,1474,BRE,353,,0,738 FR,4296,CHQ,1474,BRS,490,,0,738 FR,4296,CHQ,1474,CIA,1553,,0,738 FR,4296,CHQ,1474,CRL,304,,0,738 FR,4296,CHQ,1474,DUB,599,,0,738 FR,4296,CHQ,1474,EIN,585,,0,738 FR,4296,CHQ,1474,EMA,523,,0,738 FR,4296,CHQ,1474,FMM,3986,,0,738 FR,4296,CHQ,1474,HHN,355,,0,738 FR,4296,CHQ,1474,KTW,671,,0,738 FR,4296,CHQ,1474,LBA,517,,0,738 FR,4296,CHQ,1474,MRS,1353,,0,738 FR,4296,CHQ,1474,NRN,4198,,0,738 FR,4296,CHQ,1474,NYO,699,,0,738 FR,4296,CHQ,1474,PFO,1198,,0,738 FR,4296,CHQ,1474,RYG,657,,0,738 FR,4296,CHQ,1474,SKG,1486,,0,738 FR,4296,CHQ,1474,STN,548,,0,738 FR,4296,CHQ,1474,TSF,1539,,0,738 FR,4296,CHQ,1474,VNO,3959,,0,738 FR,4296,CHQ,1474,WMI,8414,,0,738 FR,4296,CHQ,1474,WRO,680,,0,738 FR,4296,CIA,1553,AGP,1230,,0,738 FR,4296,CIA,1553,AHO,1517,,0,738 FR,4296,CIA,1553,BCN,1218,,0,738 FR,4296,CIA,1553,BDS,1506,,0,738 FR,4296,CIA,1553,BLL,608,,0,738 FR,4296,CIA,1553,BOD,1264,,0,738 FR,4296,CIA,1553,BRI,1501,,0,738 FR,4296,CIA,1553,BTS,1745,,0,738 FR,4296,CIA,1553,BUD,1489,,0,738 FR,4296,CIA,1553,BVA,1367,,0,738 FR,4296,CIA,1553,CAG,1519,,0,738 FR,4296,CIA,1553,CFU,1460,,0,738 FR,4296,CIA,1553,CHQ,1474,,0,738 FR,4296,CIA,1553,CIY,9327,,0,738 FR,4296,CIA,1553,CRL,304,,0,738 FR,4296,CIA,1553,DUB,599,,0,738 FR,4296,CIA,1553,EDI,535,,0,738 FR,4296,CIA,1553,EIN,585,,0,738 FR,4296,CIA,1553,EMA,523,,0,738 FR,4296,CIA,1553,FKB,4166,,0,738 FR,4296,CIA,1553,FMM,3986,,0,738 FR,4296,CIA,1553,GSE,691,,0,738 FR,4296,CIA,1553,HHN,355,,0,738 FR,4296,CIA,1553,IBZ,1225,,0,738 FR,4296,CIA,1553,KRK,669,,0,738 FR,4296,CIA,1553,MAD,1229,,0,738 FR,4296,CIA,1553,MAN,478,,0,738 FR,4296,CIA,1553,MRS,1353,,0,738 FR,4296,CIA,1553,NRN,4198,,0,738 FR,4296,CIA,1553,NYO,699,,0,738 FR,4296,CIA,1553,OPO,1636,,0,738 FR,4296,CIA,1553,PIK,537,,0,738 FR,4296,CIA,1553,PMI,3998,,0,738 FR,4296,CIA,1553,POZ,674,,0,738 FR,4296,CIA,1553,RAK,1075,,0,738 FR,4296,CIA,1553,RYG,657,,0,738 FR,4296,CIA,1553,SDR,1251,,0,738 FR,4296,CIA,1553,SKG,1486,,0,738 FR,4296,CIA,1553,STN,548,,0,738 FR,4296,CIA,1553,SVQ,1253,,0,738 FR,4296,CIA,1553,TPS,1515,,0,738 FR,4296,CIA,1553,VLC,1246,,0,738 FR,4296,CIA,1553,VNO,3959,,0,738 FR,4296,CIA,1553,WMI,8414,,0,738 FR,4296,CIA,1553,WRO,680,,0,738 FR,4296,CIY,9327,CIA,1553,,0,738 FR,4296,CIY,9327,CRL,304,,0,738 FR,4296,CIY,9327,DUB,599,,0,738 FR,4296,CIY,9327,HHN,355,,0,738 FR,4296,CIY,9327,KUN,3956,,0,738 FR,4296,CIY,9327,PSA,1562,,0,738 FR,4296,CIY,9327,STN,548,,0,738 FR,4296,CRL,304,ACE,1055,,0,738 FR,4296,CRL,304,AGA,1064,,0,738 FR,4296,CRL,304,AGP,1230,,0,738 FR,4296,CRL,304,AHO,1517,,0,738 FR,4296,CRL,304,ALC,1212,,0,738 FR,4296,CRL,304,AOI,4309,,0,738 FR,4296,CRL,304,BCN,1218,,0,738 FR,4296,CRL,304,BDS,1506,,0,738 FR,4296,CRL,304,BGY,1525,,0,738 FR,4296,CRL,304,BIQ,1280,,0,738 FR,4296,CRL,304,BLQ,1538,,0,738 FR,4296,CRL,304,BOD,1264,,0,738 FR,4296,CRL,304,BRI,1501,,0,738 FR,4296,CRL,304,BTS,1745,,0,738 FR,4296,CRL,304,BUD,1489,,0,738 FR,4296,CRL,304,CAG,1519,,0,738 FR,4296,CRL,304,CCF,1352,,0,738 FR,4296,CRL,304,CFU,1460,,0,738 FR,4296,CRL,304,CHQ,1474,,0,738 FR,4296,CRL,304,CIA,1553,,0,738 FR,4296,CRL,304,CIY,9327,,0,738 FR,4296,CRL,304,DUB,599,,0,738 FR,4296,CRL,304,EDI,535,,0,738 FR,4296,CRL,304,EGC,1265,,0,738 FR,4296,CRL,304,FAO,1626,,0,738 FR,4296,CRL,304,FEZ,1066,,0,738 FR,4296,CRL,304,FNI,1439,,0,738 FR,4296,CRL,304,FSC,1323,,0,738 FR,4296,CRL,304,FUE,1051,,0,738 FR,4296,CRL,304,GOA,1528,,0,738 FR,4296,CRL,304,GRO,1222,,0,738 FR,4296,CRL,304,IBZ,1225,,0,738 FR,4296,CRL,304,KRK,669,,0,738 FR,4296,CRL,304,LEI,1213,,0,738 FR,4296,CRL,304,LPA,1054,,0,738 FR,4296,CRL,304,LRH,6493,,0,738 FR,4296,CRL,304,MAD,1229,,0,738 FR,4296,CRL,304,MAN,478,,0,738 FR,4296,CRL,304,MPL,1359,,0,738 FR,4296,CRL,304,MRS,1353,,0,738 FR,4296,CRL,304,NDR,5673,,0,738 FR,4296,CRL,304,NYO,699,,0,738 FR,4296,CRL,304,OPO,1636,,0,738 FR,4296,CRL,304,OUD,1070,,0,738 FR,4296,CRL,304,PEG,1567,,0,738 FR,4296,CRL,304,PFO,1198,,0,738 FR,4296,CRL,304,PGF,1356,,0,738 FR,4296,CRL,304,PMI,3998,,0,738 FR,4296,CRL,304,PSA,1562,,0,738 FR,4296,CRL,304,PSR,1505,,0,738 FR,4296,CRL,304,PUY,1203,,0,738 FR,4296,CRL,304,RAK,1075,,0,738 FR,4296,CRL,304,RBA,1072,,0,738 FR,4296,CRL,304,RDZ,1289,,0,738 FR,4296,CRL,304,REU,1236,,0,738 FR,4296,CRL,304,RHO,1472,,0,738 FR,4296,CRL,304,RYG,657,,0,738 FR,4296,CRL,304,SDR,1251,,0,738 FR,4296,CRL,304,SKG,1486,,0,738 FR,4296,CRL,304,SUF,1508,,0,738 FR,4296,CRL,304,SVQ,1253,,0,738 FR,4296,CRL,304,TFS,1056,,0,738 FR,4296,CRL,304,TGD,1741,,0,738 FR,4296,CRL,304,TNG,1080,,0,738 FR,4296,CRL,304,TPS,1515,,0,738 FR,4296,CRL,304,TRN,1526,,0,738 FR,4296,CRL,304,TRS,1545,,0,738 FR,4296,CRL,304,TSF,1539,,0,738 FR,4296,CRL,304,VLC,1246,,0,738 FR,4296,CRL,304,VNO,3959,,0,738 FR,4296,CRL,304,VOL,1448,,0,738 FR,4296,CRL,304,WMI,8414,,0,738 FR,4296,CRL,304,ZAD,1209,,0,738 FR,4296,CRL,304,ZAZ,1252,,0,738 FR,4296,CRL,304,ZTH,1488,,0,738 FR,4296,CTA,1509,BGY,1525,,0,738 FR,4296,CTA,1509,BLQ,1538,,0,738 FR,4296,CTA,1509,EIN,585,,0,738 FR,4296,CTA,1509,FCO,1555,,0,738 FR,4296,CTA,1509,MAD,1229,,0,738 FR,4296,CTA,1509,MRS,1353,,0,738 FR,4296,CTA,1509,TRN,1526,,0,738 FR,4296,CTA,1509,TSF,1539,,0,738 FR,4296,CUF,1534,AHO,1517,,0,738 FR,4296,CUF,1534,CAG,1519,,0,738 FR,4296,CUF,1534,TPS,1515,,0,738 FR,4296,DLE,1309,LIS,1638,,0,738 FR,4296,DLE,1309,OPO,1636,,0,738 FR,4296,DLE,1309,RAK,1075,,0,738 FR,4296,DNR,1405,EMA,523,,0,738 FR,4296,DNR,1405,STN,548,,0,738 FR,4296,DTM,373,AGP,1230,,0,738 FR,4296,DTM,373,AHO,1517,,0,738 FR,4296,DTM,373,FAO,1626,,0,738 FR,4296,DTM,373,GRO,1222,,0,738 FR,4296,DTM,373,KRK,669,,0,738 FR,4296,DTM,373,OPO,1636,,0,738 FR,4296,DTM,373,PMI,3998,,0,738 FR,4296,DTM,373,STN,548,,0,738 FR,4296,DUB,599,ACE,1055,,0,738 FR,4296,DUB,599,AGP,1230,,0,738 FR,4296,DUB,599,AHO,1517,,0,738 FR,4296,DUB,599,ALC,1212,,0,738 FR,4296,DUB,599,BCN,1218,,0,738 FR,4296,DUB,599,BGY,1525,,0,738 FR,4296,DUB,599,BHX,469,,0,738 FR,4296,DUB,599,BIQ,1280,,0,738 FR,4296,DUB,599,BLQ,1538,,0,738 FR,4296,DUB,599,BRE,353,,0,738 FR,4296,DUB,599,BRI,1501,,0,738 FR,4296,DUB,599,BRS,490,,0,738 FR,4296,DUB,599,BSL,1423,,0,738 FR,4296,DUB,599,BTS,1745,,0,738 FR,4296,DUB,599,BUD,1489,,0,738 FR,4296,DUB,599,BVA,1367,,0,738 FR,4296,DUB,599,BZG,5591,,0,738 FR,4296,DUB,599,CCF,1352,,0,738 FR,4296,DUB,599,CHQ,1474,,0,738 FR,4296,DUB,599,CIA,1553,,0,738 FR,4296,DUB,599,CIY,9327,,0,738 FR,4296,DUB,599,CRL,304,,0,738 FR,4296,DUB,599,EDI,535,,0,738 FR,4296,DUB,599,EIN,585,,0,738 FR,4296,DUB,599,EMA,523,,0,738 FR,4296,DUB,599,FAO,1626,,0,738 FR,4296,DUB,599,FMM,3986,,0,738 FR,4296,DUB,599,FUE,1051,,0,738 FR,4296,DUB,599,GDN,668,,0,738 FR,4296,DUB,599,GRO,1222,,0,738 FR,4296,DUB,599,HHN,355,,0,738 FR,4296,DUB,599,IBZ,1225,,0,738 FR,4296,DUB,599,KRK,669,,0,738 FR,4296,DUB,599,KTW,671,,0,738 FR,4296,DUB,599,KUN,3956,,0,738 FR,4296,DUB,599,LBA,517,,0,738 FR,4296,DUB,599,LEI,1213,,0,738 FR,4296,DUB,599,LGW,502,,0,738 FR,4296,DUB,599,LIS,1638,,0,738 FR,4296,DUB,599,LPA,1054,,0,738 FR,4296,DUB,599,LPL,491,,0,738 FR,4296,DUB,599,LRH,6493,,0,738 FR,4296,DUB,599,LTN,492,,0,738 FR,4296,DUB,599,MAD,1229,,0,738 FR,4296,DUB,599,MAN,478,,0,738 FR,4296,DUB,599,MJV,1227,,0,738 FR,4296,DUB,599,MLA,1606,,0,738 FR,4296,DUB,599,NCE,1354,,0,738 FR,4296,DUB,599,NCL,521,,0,738 FR,4296,DUB,599,NTE,1418,,0,738 FR,4296,DUB,599,OPO,1636,,0,738 FR,4296,DUB,599,OTP,1657,,0,738 FR,4296,DUB,599,PIK,537,,0,738 FR,4296,DUB,599,PMI,3998,,0,738 FR,4296,DUB,599,POZ,674,,0,738 FR,4296,DUB,599,PRG,1587,,0,738 FR,4296,DUB,599,PSA,1562,,0,738 FR,4296,DUB,599,RAK,1075,,0,738 FR,4296,DUB,599,RDZ,1289,,0,738 FR,4296,DUB,599,REU,1236,,0,738 FR,4296,DUB,599,RIX,3953,,0,738 FR,4296,DUB,599,RYG,657,,0,738 FR,4296,DUB,599,RZE,675,,0,738 FR,4296,DUB,599,SDR,1251,,0,738 FR,4296,DUB,599,STN,548,,0,738 FR,4296,DUB,599,SVQ,1253,,0,738 FR,4296,DUB,599,SXF,337,,0,738 FR,4296,DUB,599,SZZ,676,,0,738 FR,4296,DUB,599,TFS,1056,,0,738 FR,4296,DUB,599,TSF,1539,,0,738 FR,4296,DUB,599,TUF,1376,,0,738 FR,4296,DUB,599,VLC,1246,,0,738 FR,4296,DUB,599,VNO,3959,,0,738 FR,4296,DUB,599,WMI,8414,,0,738 FR,4296,DUB,599,WRO,680,,0,738 FR,4296,DUB,599,ZAD,1209,,0,738 FR,4296,EBU,1350,FEZ,1066,,0,738 FR,4296,EBU,1350,OPO,1636,,0,738 FR,4296,EDI,535,ACE,1055,,0,738 FR,4296,EDI,535,AGP,1230,,0,738 FR,4296,EDI,535,ALC,1212,,0,738 FR,4296,EDI,535,BCN,1218,,0,738 FR,4296,EDI,535,BLQ,1538,,0,738 FR,4296,EDI,535,BOD,1264,,0,738 FR,4296,EDI,535,BRE,353,,0,738 FR,4296,EDI,535,BTS,1745,,0,738 FR,4296,EDI,535,BZR,1360,,0,738 FR,4296,EDI,535,CFU,1460,,0,738 FR,4296,EDI,535,CIA,1553,,0,738 FR,4296,EDI,535,CRL,304,,0,738 FR,4296,EDI,535,DUB,599,,0,738 FR,4296,EDI,535,FAO,1626,,0,738 FR,4296,EDI,535,FUE,1051,,0,738 FR,4296,EDI,535,GDN,668,,0,738 FR,4296,EDI,535,GSE,691,,0,738 FR,4296,EDI,535,HHN,355,,0,738 FR,4296,EDI,535,KRK,669,,0,738 FR,4296,EDI,535,KUN,3956,,0,738 FR,4296,EDI,535,LPA,1054,,0,738 FR,4296,EDI,535,MLA,1606,,0,738 FR,4296,EDI,535,MRS,1353,,0,738 FR,4296,EDI,535,NRN,4198,,0,738 FR,4296,EDI,535,PMI,3998,,0,738 FR,4296,EDI,535,POZ,674,,0,738 FR,4296,EDI,535,PSA,1562,,0,738 FR,4296,EDI,535,RYG,657,,0,738 FR,4296,EDI,535,SDR,1251,,0,738 FR,4296,EDI,535,TFS,1056,,0,738 FR,4296,EFL,1455,STN,548,,0,738 FR,4296,EGC,1265,BRS,490,,0,738 FR,4296,EGC,1265,CRL,304,,0,738 FR,4296,EGC,1265,EMA,523,,0,738 FR,4296,EGC,1265,LPL,491,,0,738 FR,4296,EGC,1265,STN,548,,0,738 FR,4296,EIN,585,ACE,1055,,0,738 FR,4296,EIN,585,AGP,1230,,0,738 FR,4296,EIN,585,AHO,1517,,0,738 FR,4296,EIN,585,ALC,1212,,0,738 FR,4296,EIN,585,BDS,1506,,0,738 FR,4296,EIN,585,BGY,1525,,0,738 FR,4296,EIN,585,CCF,1352,,0,738 FR,4296,EIN,585,CFU,1460,,0,738 FR,4296,EIN,585,CHQ,1474,,0,738 FR,4296,EIN,585,CIA,1553,,0,738 FR,4296,EIN,585,CTA,1509,,0,738 FR,4296,EIN,585,DUB,599,,0,738 FR,4296,EIN,585,FAO,1626,,0,738 FR,4296,EIN,585,FEZ,1066,,0,738 FR,4296,EIN,585,GRO,1222,,0,738 FR,4296,EIN,585,IBZ,1225,,0,738 FR,4296,EIN,585,KRK,669,,0,738 FR,4296,EIN,585,LPA,1054,,0,738 FR,4296,EIN,585,MJV,1227,,0,738 FR,4296,EIN,585,MLA,1606,,0,738 FR,4296,EIN,585,MRS,1353,,0,738 FR,4296,EIN,585,NOC,600,,0,738 FR,4296,EIN,585,OPO,1636,,0,738 FR,4296,EIN,585,PMI,3998,,0,738 FR,4296,EIN,585,PSA,1562,,0,738 FR,4296,EIN,585,RAK,1075,,0,738 FR,4296,EIN,585,REU,1236,,0,738 FR,4296,EIN,585,STN,548,,0,738 FR,4296,EIN,585,SVQ,1253,,0,738 FR,4296,EIN,585,TPS,1515,,0,738 FR,4296,EIN,585,TSF,1539,,0,738 FR,4296,EIN,585,WMI,8414,,0,738 FR,4296,EMA,523,ACE,1055,,0,738 FR,4296,EMA,523,AGP,1230,,0,738 FR,4296,EMA,523,ALC,1212,,0,738 FR,4296,EMA,523,BCN,1218,,0,738 FR,4296,EMA,523,BGY,1525,,0,738 FR,4296,EMA,523,CCF,1352,,0,738 FR,4296,EMA,523,CFU,1460,,0,738 FR,4296,EMA,523,CHQ,1474,,0,738 FR,4296,EMA,523,CIA,1553,,0,738 FR,4296,EMA,523,DNR,1405,,0,738 FR,4296,EMA,523,DUB,599,,0,738 FR,4296,EMA,523,EGC,1265,,0,738 FR,4296,EMA,523,FAO,1626,,0,738 FR,4296,EMA,523,FUE,1051,,0,738 FR,4296,EMA,523,GRO,1222,,0,738 FR,4296,EMA,523,IBZ,1225,,0,738 FR,4296,EMA,523,KRK,669,,0,738 FR,4296,EMA,523,LEI,1213,,0,738 FR,4296,EMA,523,LIG,1270,,0,738 FR,4296,EMA,523,LPA,1054,,0,738 FR,4296,EMA,523,LRH,6493,,0,738 FR,4296,EMA,523,MAH,1231,,0,738 FR,4296,EMA,523,MJV,1227,,0,738 FR,4296,EMA,523,NOC,600,,0,738 FR,4296,EMA,523,ORK,596,,0,738 FR,4296,EMA,523,PMI,3998,,0,738 FR,4296,EMA,523,PSA,1562,,0,738 FR,4296,EMA,523,REU,1236,,0,738 FR,4296,EMA,523,RHO,1472,,0,738 FR,4296,EMA,523,RIX,3953,,0,738 FR,4296,EMA,523,RZE,675,,0,738 FR,4296,EMA,523,SXF,337,,0,738 FR,4296,EMA,523,TFS,1056,,0,738 FR,4296,EMA,523,TSF,1539,,0,738 FR,4296,EMA,523,VLC,1246,,0,738 FR,4296,EMA,523,WMI,8414,,0,738 FR,4296,EMA,523,WRO,680,,0,738 FR,4296,ESU,5671,MRS,1353,,0,738 FR,4296,FAO,1626,BHX,469,,0,738 FR,4296,FAO,1626,BLL,608,,0,738 FR,4296,FAO,1626,BOH,494,,0,738 FR,4296,FAO,1626,BRE,353,,0,738 FR,4296,FAO,1626,BRS,490,,0,738 FR,4296,FAO,1626,BVA,1367,,0,738 FR,4296,FAO,1626,CGN,344,,0,738 FR,4296,FAO,1626,CRL,304,,0,738 FR,4296,FAO,1626,DTM,373,,0,738 FR,4296,FAO,1626,DUB,599,,0,738 FR,4296,FAO,1626,EDI,535,,0,738 FR,4296,FAO,1626,EIN,585,,0,738 FR,4296,FAO,1626,EMA,523,,0,738 FR,4296,FAO,1626,FMM,3986,,0,738 FR,4296,FAO,1626,HHN,355,,0,738 FR,4296,FAO,1626,KIR,601,,0,738 FR,4296,FAO,1626,LBA,517,,0,738 FR,4296,FAO,1626,LDY,468,,0,738 FR,4296,FAO,1626,LIS,1638,,0,738 FR,4296,FAO,1626,LPL,491,,0,738 FR,4296,FAO,1626,MAN,478,,0,738 FR,4296,FAO,1626,MST,582,,0,738 FR,4296,FAO,1626,NOC,600,,0,738 FR,4296,FAO,1626,NRN,4198,,0,738 FR,4296,FAO,1626,OPO,1636,,0,738 FR,4296,FAO,1626,ORK,596,,0,738 FR,4296,FAO,1626,PIK,537,,0,738 FR,4296,FAO,1626,SNN,603,,0,738 FR,4296,FAO,1626,STN,548,,0,738 FR,4296,FCO,1555,BCN,1218,,0,738 FR,4296,FCO,1555,BRU,302,,0,738 FR,4296,FCO,1555,CTA,1509,,0,738 FR,4296,FCO,1555,PMO,1512,,0,738 FR,4296,FCO,1555,SUF,1508,,0,738 FR,4296,FEZ,1066,BCN,1218,,0,738 FR,4296,FEZ,1066,BGY,1525,,0,738 FR,4296,FEZ,1066,BVA,1367,,0,738 FR,4296,FEZ,1066,CRL,304,,0,738 FR,4296,FEZ,1066,EBU,1350,,0,738 FR,4296,FEZ,1066,EIN,585,,0,738 FR,4296,FEZ,1066,FNI,1439,,0,738 FR,4296,FEZ,1066,HHN,355,,0,738 FR,4296,FEZ,1066,MRS,1353,,0,738 FR,4296,FEZ,1066,NRN,4198,,0,738 FR,4296,FEZ,1066,NTE,1418,,0,738 FR,4296,FEZ,1066,PSA,1562,,0,738 FR,4296,FEZ,1066,STN,548,,0,738 FR,4296,FKB,4166,ACE,1055,,0,738 FR,4296,FKB,4166,AGP,1230,,0,738 FR,4296,FKB,4166,ALC,1212,,0,738 FR,4296,FKB,4166,BRI,1501,,0,738 FR,4296,FKB,4166,CAG,1519,,0,738 FR,4296,FKB,4166,CIA,1553,,0,738 FR,4296,FKB,4166,GRO,1222,,0,738 FR,4296,FKB,4166,LPA,1054,,0,738 FR,4296,FKB,4166,OPO,1636,,0,738 FR,4296,FKB,4166,PMI,3998,,0,738 FR,4296,FKB,4166,SKG,1486,,0,738 FR,4296,FKB,4166,STN,548,,0,738 FR,4296,FKB,4166,TFS,1056,,0,738 FR,4296,FKB,4166,TPS,1515,,0,738 FR,4296,FKB,4166,ZAD,1209,,0,738 FR,4296,FMM,3986,AGP,1230,,0,738 FR,4296,FMM,3986,AHO,1517,,0,738 FR,4296,FMM,3986,ALC,1212,,0,738 FR,4296,FMM,3986,CHQ,1474,,0,738 FR,4296,FMM,3986,CIA,1553,,0,738 FR,4296,FMM,3986,DUB,599,,0,738 FR,4296,FMM,3986,FAO,1626,,0,738 FR,4296,FMM,3986,GRO,1222,,0,738 FR,4296,FMM,3986,OPO,1636,,0,738 FR,4296,FMM,3986,PMI,3998,,0,738 FR,4296,FMM,3986,SNN,603,,0,738 FR,4296,FMM,3986,STN,548,,0,738 FR,4296,FMM,3986,TFS,1056,,0,738 FR,4296,FMM,3986,TPS,1515,,0,738 FR,4296,FMO,341,AGP,1230,,0,738 FR,4296,FMO,341,GRO,1222,,0,738 FR,4296,FNI,1439,CRL,304,,0,738 FR,4296,FNI,1439,FEZ,1066,,0,738 FR,4296,FNI,1439,LPL,491,,0,738 FR,4296,FNI,1439,LTN,492,,0,738 FR,4296,FSC,1323,CRL,304,,0,738 FR,4296,FUE,1051,BCN,1218,,0,738 FR,4296,FUE,1051,BGY,1525,,0,738 FR,4296,FUE,1051,BHX,469,,0,738 FR,4296,FUE,1051,BOH,494,,0,738 FR,4296,FUE,1051,BRE,353,,0,738 FR,4296,FUE,1051,CRL,304,,0,738 FR,4296,FUE,1051,DUB,599,,0,738 FR,4296,FUE,1051,EDI,535,,0,738 FR,4296,FUE,1051,EMA,523,,0,738 FR,4296,FUE,1051,LBA,517,,0,738 FR,4296,FUE,1051,LPL,491,,0,738 FR,4296,FUE,1051,LTN,492,,0,738 FR,4296,FUE,1051,MAD,1229,,0,738 FR,4296,FUE,1051,MAN,478,,0,738 FR,4296,FUE,1051,NRN,4198,,0,738 FR,4296,FUE,1051,ORK,596,,0,738 FR,4296,FUE,1051,PIK,537,,0,738 FR,4296,FUE,1051,PSA,1562,,0,738 FR,4296,FUE,1051,SNN,603,,0,738 FR,4296,FUE,1051,STN,548,,0,738 FR,4296,GDN,668,BHX,469,,0,738 FR,4296,GDN,668,BRS,490,,0,738 FR,4296,GDN,668,DUB,599,,0,738 FR,4296,GDN,668,EDI,535,,0,738 FR,4296,GDN,668,LBA,517,,0,738 FR,4296,GDN,668,MAN,478,,0,738 FR,4296,GDN,668,ORK,596,,0,738 FR,4296,GDN,668,PSA,1562,,0,738 FR,4296,GDN,668,RYG,657,,0,738 FR,4296,GDN,668,STN,548,,0,738 FR,4296,GDN,668,WMI,8414,,0,738 FR,4296,GOA,1528,BRI,1501,,0,738 FR,4296,GOA,1528,CAG,1519,,0,738 FR,4296,GOA,1528,CRL,304,,0,738 FR,4296,GOA,1528,STN,548,,0,738 FR,4296,GOA,1528,TPS,1515,,0,738 FR,4296,GPA,1473,PFO,1198,,0,738 FR,4296,GRO,1222,AHO,1517,,0,738 FR,4296,GRO,1222,BDS,1506,,0,738 FR,4296,GRO,1222,BGY,1525,,0,738 FR,4296,GRO,1222,BLL,608,,0,738 FR,4296,GRO,1222,BOH,494,,0,738 FR,4296,GRO,1222,BRE,353,,0,738 FR,4296,GRO,1222,BRS,490,,0,738 FR,4296,GRO,1222,BTS,1745,,0,738 FR,4296,GRO,1222,BVA,1367,,0,738 FR,4296,GRO,1222,CAG,1519,,0,738 FR,4296,GRO,1222,CGN,344,,0,738 FR,4296,GRO,1222,CRL,304,,0,738 FR,4296,GRO,1222,DTM,373,,0,738 FR,4296,GRO,1222,DUB,599,,0,738 FR,4296,GRO,1222,EIN,585,,0,738 FR,4296,GRO,1222,EMA,523,,0,738 FR,4296,GRO,1222,FKB,4166,,0,738 FR,4296,GRO,1222,FMM,3986,,0,738 FR,4296,GRO,1222,FMO,341,,0,738 FR,4296,GRO,1222,GRQ,586,,0,738 FR,4296,GRO,1222,HHN,355,,0,738 FR,4296,GRO,1222,IBZ,1225,,0,738 FR,4296,GRO,1222,KRK,669,,0,738 FR,4296,GRO,1222,LBA,517,,0,738 FR,4296,GRO,1222,LPP,441,,0,738 FR,4296,GRO,1222,LTN,492,,0,738 FR,4296,GRO,1222,MAN,478,,0,738 FR,4296,GRO,1222,MLA,1606,,0,738 FR,4296,GRO,1222,MST,582,,0,738 FR,4296,GRO,1222,NCL,521,,0,738 FR,4296,GRO,1222,NRN,4198,,0,738 FR,4296,GRO,1222,PMI,3998,,0,738 FR,4296,GRO,1222,POZ,674,,0,738 FR,4296,GRO,1222,PSA,1562,,0,738 FR,4296,GRO,1222,PSR,1505,,0,738 FR,4296,GRO,1222,RAK,1075,,0,738 FR,4296,GRO,1222,RBA,1072,,0,738 FR,4296,GRO,1222,SFT,726,,0,738 FR,4296,GRO,1222,SKG,1486,,0,738 FR,4296,GRO,1222,STN,548,,0,738 FR,4296,GRO,1222,TLL,415,,0,738 FR,4296,GRO,1222,TMP,458,,0,738 FR,4296,GRO,1222,TPS,1515,,0,738 FR,4296,GRO,1222,WRO,680,,0,738 FR,4296,GRQ,586,GRO,1222,,0,738 FR,4296,GRQ,586,PMI,3998,,0,738 FR,4296,GSE,691,AGP,1230,,0,738 FR,4296,GSE,691,AHO,1517,,0,738 FR,4296,GSE,691,ALC,1212,,0,738 FR,4296,GSE,691,BGY,1525,,0,738 FR,4296,GSE,691,BVA,1367,,0,738 FR,4296,GSE,691,CIA,1553,,0,738 FR,4296,GSE,691,EDI,535,,0,738 FR,4296,GSE,691,MLA,1606,,0,738 FR,4296,GSE,691,MRS,1353,,0,738 FR,4296,GSE,691,PMI,3998,,0,738 FR,4296,GSE,691,PSA,1562,,0,738 FR,4296,GSE,691,STN,548,,0,738 FR,4296,GSE,691,ZAD,1209,,0,738 FR,4296,HAU,645,AGP,1230,,0,738 FR,4296,HAU,645,ALC,1212,,0,738 FR,4296,HAU,645,BRE,353,,0,738 FR,4296,HAU,645,PSA,1562,,0,738 FR,4296,HAU,645,STN,548,,0,738 FR,4296,HAU,645,ZAD,1209,,0,738 FR,4296,HHN,355,ACE,1055,,0,738 FR,4296,HHN,355,AGP,1230,,0,738 FR,4296,HHN,355,AHO,1517,,0,738 FR,4296,HHN,355,ALC,1212,,0,738 FR,4296,HHN,355,BGY,1525,,0,738 FR,4296,HHN,355,BRI,1501,,0,738 FR,4296,HHN,355,CAG,1519,,0,738 FR,4296,HHN,355,CHQ,1474,,0,738 FR,4296,HHN,355,CIA,1553,,0,738 FR,4296,HHN,355,CIY,9327,,0,738 FR,4296,HHN,355,DUB,599,,0,738 FR,4296,HHN,355,EDI,535,,0,738 FR,4296,HHN,355,FAO,1626,,0,738 FR,4296,HHN,355,FEZ,1066,,0,738 FR,4296,HHN,355,GRO,1222,,0,738 FR,4296,HHN,355,IBZ,1225,,0,738 FR,4296,HHN,355,KIR,601,,0,738 FR,4296,HHN,355,KUN,3956,,0,738 FR,4296,HHN,355,LIS,1638,,0,738 FR,4296,HHN,355,MPL,1359,,0,738 FR,4296,HHN,355,NDR,5673,,0,738 FR,4296,HHN,355,OPO,1636,,0,738 FR,4296,HHN,355,PDV,1193,,0,738 FR,4296,HHN,355,PMI,3998,,0,738 FR,4296,HHN,355,PSA,1562,,0,738 FR,4296,HHN,355,PSR,1505,,0,738 FR,4296,HHN,355,PUY,1203,,0,738 FR,4296,HHN,355,RAK,1075,,0,738 FR,4296,HHN,355,REU,1236,,0,738 FR,4296,HHN,355,RIX,3953,,0,738 FR,4296,HHN,355,SCQ,1243,,0,738 FR,4296,HHN,355,SDR,1251,,0,738 FR,4296,HHN,355,SKG,1486,,0,738 FR,4296,HHN,355,STN,548,,0,738 FR,4296,HHN,355,SUF,1508,,0,738 FR,4296,HHN,355,TFS,1056,,0,738 FR,4296,HHN,355,TMP,458,,0,738 FR,4296,HHN,355,TPS,1515,,0,738 FR,4296,HHN,355,TSF,1539,,0,738 FR,4296,HHN,355,VLC,1246,,0,738 FR,4296,HHN,355,VOL,1448,,0,738 FR,4296,HHN,355,XRY,1226,,0,738 FR,4296,HHN,355,ZAD,1209,,0,738 FR,4296,IBZ,1225,AGP,1230,,0,738 FR,4296,IBZ,1225,BCN,1218,,0,738 FR,4296,IBZ,1225,BGY,1525,,0,738 FR,4296,IBZ,1225,BHX,469,,0,738 FR,4296,IBZ,1225,BLQ,1538,,0,738 FR,4296,IBZ,1225,BOH,494,,0,738 FR,4296,IBZ,1225,BRS,490,,0,738 FR,4296,IBZ,1225,CIA,1553,,0,738 FR,4296,IBZ,1225,CRL,304,,0,738 FR,4296,IBZ,1225,DUB,599,,0,738 FR,4296,IBZ,1225,EIN,585,,0,738 FR,4296,IBZ,1225,EMA,523,,0,738 FR,4296,IBZ,1225,GRO,1222,,0,738 FR,4296,IBZ,1225,HHN,355,,0,738 FR,4296,IBZ,1225,LBA,517,,0,738 FR,4296,IBZ,1225,LPL,491,,0,738 FR,4296,IBZ,1225,MAD,1229,,0,738 FR,4296,IBZ,1225,MAN,478,,0,738 FR,4296,IBZ,1225,MRS,1353,,0,738 FR,4296,IBZ,1225,NRN,4198,,0,738 FR,4296,IBZ,1225,PIK,537,,0,738 FR,4296,IBZ,1225,PSA,1562,,0,738 FR,4296,IBZ,1225,STN,548,,0,738 FR,4296,IBZ,1225,VLC,1246,,0,738 FR,4296,KGS,1458,BGY,1525,,0,738 FR,4296,KGS,1458,KRK,669,,0,738 FR,4296,KGS,1458,KUN,3956,,0,738 FR,4296,KGS,1458,LBA,517,,0,738 FR,4296,KGS,1458,LPL,491,,0,738 FR,4296,KGS,1458,RYG,657,,0,738 FR,4296,KGS,1458,STN,548,,0,738 FR,4296,KIR,601,ALC,1212,,0,738 FR,4296,KIR,601,FAO,1626,,0,738 FR,4296,KIR,601,HHN,355,,0,738 FR,4296,KIR,601,LTN,492,,0,738 FR,4296,KIR,601,STN,548,,0,738 FR,4296,KRK,669,AGP,1230,,0,738 FR,4296,KRK,669,ALC,1212,,0,738 FR,4296,KRK,669,BGY,1525,,0,738 FR,4296,KRK,669,BHX,469,,0,738 FR,4296,KRK,669,BLQ,1538,,0,738 FR,4296,KRK,669,BVA,1367,,0,738 FR,4296,KRK,669,CAG,1519,,0,738 FR,4296,KRK,669,CIA,1553,,0,738 FR,4296,KRK,669,CRL,304,,0,738 FR,4296,KRK,669,DTM,373,,0,738 FR,4296,KRK,669,DUB,599,,0,738 FR,4296,KRK,669,EDI,535,,0,738 FR,4296,KRK,669,EIN,585,,0,738 FR,4296,KRK,669,EMA,523,,0,738 FR,4296,KRK,669,GRO,1222,,0,738 FR,4296,KRK,669,KGS,1458,,0,738 FR,4296,KRK,669,LBA,517,,0,738 FR,4296,KRK,669,LPL,491,,0,738 FR,4296,KRK,669,MAD,1229,,0,738 FR,4296,KRK,669,MAN,478,,0,738 FR,4296,KRK,669,MLA,1606,,0,738 FR,4296,KRK,669,NYO,699,,0,738 FR,4296,KRK,669,PFO,1198,,0,738 FR,4296,KRK,669,PSA,1562,,0,738 FR,4296,KRK,669,RYG,657,,0,738 FR,4296,KRK,669,SNN,603,,0,738 FR,4296,KRK,669,STN,548,,0,738 FR,4296,KRK,669,TPS,1515,,0,738 FR,4296,KTW,671,ALC,1212,,0,738 FR,4296,KTW,671,BHX,469,,0,738 FR,4296,KTW,671,CHQ,1474,,0,738 FR,4296,KTW,671,DUB,599,,0,738 FR,4296,KTW,671,STN,548,,0,738 FR,4296,KUN,3956,ALC,1212,,0,738 FR,4296,KUN,3956,BHX,469,,0,738 FR,4296,KUN,3956,BRS,490,,0,738 FR,4296,KUN,3956,CAG,1519,,0,738 FR,4296,KUN,3956,CIY,9327,,0,738 FR,4296,KUN,3956,DUB,599,,0,738 FR,4296,KUN,3956,EDI,535,,0,738 FR,4296,KUN,3956,HHN,355,,0,738 FR,4296,KUN,3956,KGS,1458,,0,738 FR,4296,KUN,3956,LGW,502,,0,738 FR,4296,KUN,3956,LTN,492,,0,738 FR,4296,KUN,3956,MLA,1606,,0,738 FR,4296,KUN,3956,NOC,600,,0,738 FR,4296,KUN,3956,PFO,1198,,0,738 FR,4296,KUN,3956,PMI,3998,,0,738 FR,4296,KUN,3956,RHO,1472,,0,738 FR,4296,KUN,3956,RYG,657,,0,738 FR,4296,KUN,3956,STN,548,,0,738 FR,4296,KUN,3956,TPS,1515,,0,738 FR,4296,LBA,517,ACE,1055,,0,738 FR,4296,LBA,517,AGP,1230,,0,738 FR,4296,LBA,517,ALC,1212,,0,738 FR,4296,LBA,517,BGY,1525,,0,738 FR,4296,LBA,517,CFU,1460,,0,738 FR,4296,LBA,517,CHQ,1474,,0,738 FR,4296,LBA,517,DUB,599,,0,738 FR,4296,LBA,517,FAO,1626,,0,738 FR,4296,LBA,517,FUE,1051,,0,738 FR,4296,LBA,517,GDN,668,,0,738 FR,4296,LBA,517,GRO,1222,,0,738 FR,4296,LBA,517,IBZ,1225,,0,738 FR,4296,LBA,517,KGS,1458,,0,738 FR,4296,LBA,517,KRK,669,,0,738 FR,4296,LBA,517,LIG,1270,,0,738 FR,4296,LBA,517,MJV,1227,,0,738 FR,4296,LBA,517,MLA,1606,,0,738 FR,4296,LBA,517,MPL,1359,,0,738 FR,4296,LBA,517,PMI,3998,,0,738 FR,4296,LBA,517,PSA,1562,,0,738 FR,4296,LBA,517,TFS,1056,,0,738 FR,4296,LBA,517,TSF,1539,,0,738 FR,4296,LBC,364,BGY,1525,,0,738 FR,4296,LBC,364,PMI,3998,,0,738 FR,4296,LBC,364,PSA,1562,,0,738 FR,4296,LDE,1276,BGY,1525,,0,738 FR,4296,LDE,1276,STN,548,,0,738 FR,4296,LDY,468,BHX,469,,0,738 FR,4296,LDY,468,FAO,1626,,0,738 FR,4296,LDY,468,LPL,491,,0,738 FR,4296,LDY,468,PIK,537,,0,738 FR,4296,LDY,468,STN,548,,0,738 FR,4296,LEI,1213,CRL,304,,0,738 FR,4296,LEI,1213,DUB,599,,0,738 FR,4296,LEI,1213,EMA,523,,0,738 FR,4296,LEI,1213,NRN,4198,,0,738 FR,4296,LEI,1213,STN,548,,0,738 FR,4296,LEJ,348,STN,548,,0,738 FR,4296,LGW,502,DUB,599,,0,738 FR,4296,LGW,502,KUN,3956,,0,738 FR,4296,LGW,502,ORK,596,,0,738 FR,4296,LGW,502,SNN,603,,0,738 FR,4296,LGW,502,SVQ,1253,,0,738 FR,4296,LIG,1270,BRS,490,,0,738 FR,4296,LIG,1270,EMA,523,,0,738 FR,4296,LIG,1270,LBA,517,,0,738 FR,4296,LIG,1270,LPL,491,,0,738 FR,4296,LIG,1270,STN,548,,0,738 FR,4296,LIL,1399,MRS,1353,,0,738 FR,4296,LIL,1399,OPO,1636,,0,738 FR,4296,LIS,1638,BRU,302,,0,738 FR,4296,LIS,1638,BVA,1367,,0,738 FR,4296,LIS,1638,DLE,1309,,0,738 FR,4296,LIS,1638,DUB,599,,0,738 FR,4296,LIS,1638,FAO,1626,,0,738 FR,4296,LIS,1638,HHN,355,,0,738 FR,4296,LIS,1638,MAN,478,,0,738 FR,4296,LIS,1638,MRS,1353,,0,738 FR,4296,LIS,1638,OPO,1636,,0,738 FR,4296,LIS,1638,PSA,1562,,0,738 FR,4296,LIS,1638,STN,548,,0,738 FR,4296,LNZ,1611,STN,548,,0,738 FR,4296,LPA,1054,BCN,1218,,0,738 FR,4296,LPA,1054,BGY,1525,,0,738 FR,4296,LPA,1054,BHX,469,,0,738 FR,4296,LPA,1054,BOH,494,,0,738 FR,4296,LPA,1054,BRE,353,,0,738 FR,4296,LPA,1054,BRS,490,,0,738 FR,4296,LPA,1054,CRL,304,,0,738 FR,4296,LPA,1054,DUB,599,,0,738 FR,4296,LPA,1054,EDI,535,,0,738 FR,4296,LPA,1054,EIN,585,,0,738 FR,4296,LPA,1054,EMA,523,,0,738 FR,4296,LPA,1054,FKB,4166,,0,738 FR,4296,LPA,1054,LPL,491,,0,738 FR,4296,LPA,1054,LTN,492,,0,738 FR,4296,LPA,1054,MAD,1229,,0,738 FR,4296,LPA,1054,MAN,478,,0,738 FR,4296,LPA,1054,NRN,4198,,0,738 FR,4296,LPA,1054,OPO,1636,,0,738 FR,4296,LPA,1054,ORK,596,,0,738 FR,4296,LPA,1054,PIK,537,,0,738 FR,4296,LPA,1054,PSA,1562,,0,738 FR,4296,LPA,1054,SCQ,1243,,0,738 FR,4296,LPA,1054,SDR,1251,,0,738 FR,4296,LPA,1054,STN,548,,0,738 FR,4296,LPA,1054,SVQ,1253,,0,738 FR,4296,LPA,1054,VLC,1246,,0,738 FR,4296,LPL,491,ACE,1055,,0,738 FR,4296,LPL,491,AGP,1230,,0,738 FR,4296,LPL,491,ALC,1212,,0,738 FR,4296,LPL,491,BCN,1218,,0,738 FR,4296,LPL,491,BTS,1745,,0,738 FR,4296,LPL,491,CCF,1352,,0,738 FR,4296,LPL,491,DUB,599,,0,738 FR,4296,LPL,491,EGC,1265,,0,738 FR,4296,LPL,491,FAO,1626,,0,738 FR,4296,LPL,491,FNI,1439,,0,738 FR,4296,LPL,491,FUE,1051,,0,738 FR,4296,LPL,491,IBZ,1225,,0,738 FR,4296,LPL,491,KGS,1458,,0,738 FR,4296,LPL,491,KRK,669,,0,738 FR,4296,LPL,491,LDY,468,,0,738 FR,4296,LPL,491,LIG,1270,,0,738 FR,4296,LPL,491,LPA,1054,,0,738 FR,4296,LPL,491,MLA,1606,,0,738 FR,4296,LPL,491,NOC,600,,0,738 FR,4296,LPL,491,OPO,1636,,0,738 FR,4296,LPL,491,ORK,596,,0,738 FR,4296,LPL,491,PMI,3998,,0,738 FR,4296,LPL,491,POZ,674,,0,738 FR,4296,LPL,491,PSA,1562,,0,738 FR,4296,LPL,491,REU,1236,,0,738 FR,4296,LPL,491,RHO,1472,,0,738 FR,4296,LPL,491,SNN,603,,0,738 FR,4296,LPL,491,SZZ,676,,0,738 FR,4296,LPL,491,TFS,1056,,0,738 FR,4296,LPL,491,TRF,664,,0,738 FR,4296,LPL,491,VNO,3959,,0,738 FR,4296,LPL,491,WMI,8414,,0,738 FR,4296,LPL,491,WRO,680,,0,738 FR,4296,LPP,441,BGY,1525,,0,738 FR,4296,LPP,441,GRO,1222,,0,738 FR,4296,LPP,441,NRN,4198,,0,738 FR,4296,LRH,6493,CRL,304,,0,738 FR,4296,LRH,6493,DUB,599,,0,738 FR,4296,LRH,6493,EMA,523,,0,738 FR,4296,LRH,6493,OPO,1636,,0,738 FR,4296,LRH,6493,STN,548,,0,738 FR,4296,LTN,492,ACE,1055,,0,738 FR,4296,LTN,492,AHO,1517,,0,738 FR,4296,LTN,492,BTS,1745,,0,738 FR,4296,LTN,492,BZR,1360,,0,738 FR,4296,LTN,492,DUB,599,,0,738 FR,4296,LTN,492,FNI,1439,,0,738 FR,4296,LTN,492,FUE,1051,,0,738 FR,4296,LTN,492,GRO,1222,,0,738 FR,4296,LTN,492,KIR,601,,0,738 FR,4296,LTN,492,KUN,3956,,0,738 FR,4296,LTN,492,LPA,1054,,0,738 FR,4296,LTN,492,MJV,1227,,0,738 FR,4296,LTN,492,MLA,1606,,0,738 FR,4296,LTN,492,NOC,600,,0,738 FR,4296,LTN,492,RAK,1075,,0,738 FR,4296,LTN,492,REU,1236,,0,738 FR,4296,LTN,492,RZE,675,,0,738 FR,4296,LTN,492,TFS,1056,,0,738 FR,4296,LUZ,8832,STN,548,,0,738 FR,4296,MAD,1229,ACE,1055,,0,738 FR,4296,MAD,1229,AHO,1517,,0,738 FR,4296,MAD,1229,BGY,1525,,0,738 FR,4296,MAD,1229,BLQ,1538,,0,738 FR,4296,MAD,1229,BUD,1489,,0,738 FR,4296,MAD,1229,BVA,1367,,0,738 FR,4296,MAD,1229,CAG,1519,,0,738 FR,4296,MAD,1229,CIA,1553,,0,738 FR,4296,MAD,1229,CRL,304,,0,738 FR,4296,MAD,1229,CTA,1509,,0,738 FR,4296,MAD,1229,DUB,599,,0,738 FR,4296,MAD,1229,FUE,1051,,0,738 FR,4296,MAD,1229,IBZ,1225,,0,738 FR,4296,MAD,1229,KRK,669,,0,738 FR,4296,MAD,1229,LPA,1054,,0,738 FR,4296,MAD,1229,MAN,478,,0,738 FR,4296,MAD,1229,MLA,1606,,0,738 FR,4296,MAD,1229,MRS,1353,,0,738 FR,4296,MAD,1229,OPO,1636,,0,738 FR,4296,MAD,1229,PMI,3998,,0,738 FR,4296,MAD,1229,PMO,1512,,0,738 FR,4296,MAD,1229,PSA,1562,,0,738 FR,4296,MAD,1229,RAK,1075,,0,738 FR,4296,MAD,1229,RBA,1072,,0,738 FR,4296,MAD,1229,RYG,657,,0,738 FR,4296,MAD,1229,SCQ,1243,,0,738 FR,4296,MAD,1229,STN,548,,0,738 FR,4296,MAD,1229,TFN,1057,,0,738 FR,4296,MAD,1229,TFS,1056,,0,738 FR,4296,MAD,1229,TNG,1080,,0,738 FR,4296,MAH,1231,BCN,1218,,0,738 FR,4296,MAH,1231,EMA,523,,0,738 FR,4296,MAH,1231,VLC,1246,,0,738 FR,4296,MAN,478,ACE,1055,,0,738 FR,4296,MAN,478,AGP,1230,,0,738 FR,4296,MAN,478,ALC,1212,,0,738 FR,4296,MAN,478,BCN,1218,,0,738 FR,4296,MAN,478,BGY,1525,,0,738 FR,4296,MAN,478,BLQ,1538,,0,738 FR,4296,MAN,478,BRE,353,,0,738 FR,4296,MAN,478,BUD,1489,,0,738 FR,4296,MAN,478,BVA,1367,,0,738 FR,4296,MAN,478,BZR,1360,,0,738 FR,4296,MAN,478,CFU,1460,,0,738 FR,4296,MAN,478,CIA,1553,,0,738 FR,4296,MAN,478,CRL,304,,0,738 FR,4296,MAN,478,DUB,599,,0,738 FR,4296,MAN,478,FAO,1626,,0,738 FR,4296,MAN,478,FUE,1051,,0,738 FR,4296,MAN,478,GDN,668,,0,738 FR,4296,MAN,478,GRO,1222,,0,738 FR,4296,MAN,478,IBZ,1225,,0,738 FR,4296,MAN,478,KRK,669,,0,738 FR,4296,MAN,478,LIS,1638,,0,738 FR,4296,MAN,478,LPA,1054,,0,738 FR,4296,MAN,478,MAD,1229,,0,738 FR,4296,MAN,478,MJV,1227,,0,738 FR,4296,MAN,478,PFO,1198,,0,738 FR,4296,MAN,478,PMI,3998,,0,738 FR,4296,MAN,478,REU,1236,,0,738 FR,4296,MAN,478,RIX,3953,,0,738 FR,4296,MAN,478,RYG,657,,0,738 FR,4296,MAN,478,RZE,675,,0,738 FR,4296,MAN,478,TFS,1056,,0,738 FR,4296,MAN,478,TLL,415,,0,738 FR,4296,MAN,478,TPS,1515,,0,738 FR,4296,MAN,478,VLC,1246,,0,738 FR,4296,MAN,478,WMI,8414,,0,738 FR,4296,MAN,478,ZAD,1209,,0,738 FR,4296,MJV,1227,BHX,469,,0,738 FR,4296,MJV,1227,BOH,494,,0,738 FR,4296,MJV,1227,DUB,599,,0,738 FR,4296,MJV,1227,EIN,585,,0,738 FR,4296,MJV,1227,EMA,523,,0,738 FR,4296,MJV,1227,LBA,517,,0,738 FR,4296,MJV,1227,LTN,492,,0,738 FR,4296,MJV,1227,MAN,478,,0,738 FR,4296,MJV,1227,PIK,537,,0,738 FR,4296,MJV,1227,STN,548,,0,738 FR,4296,MLA,1606,BGY,1525,,0,738 FR,4296,MLA,1606,BHX,469,,0,738 FR,4296,MLA,1606,BLL,608,,0,738 FR,4296,MLA,1606,BLQ,1538,,0,738 FR,4296,MLA,1606,BOH,494,,0,738 FR,4296,MLA,1606,BRI,1501,,0,738 FR,4296,MLA,1606,BRS,490,,0,738 FR,4296,MLA,1606,DUB,599,,0,738 FR,4296,MLA,1606,EDI,535,,0,738 FR,4296,MLA,1606,EIN,585,,0,738 FR,4296,MLA,1606,GRO,1222,,0,738 FR,4296,MLA,1606,GSE,691,,0,738 FR,4296,MLA,1606,KRK,669,,0,738 FR,4296,MLA,1606,KUN,3956,,0,738 FR,4296,MLA,1606,LBA,517,,0,738 FR,4296,MLA,1606,LPL,491,,0,738 FR,4296,MLA,1606,LTN,492,,0,738 FR,4296,MLA,1606,MAD,1229,,0,738 FR,4296,MLA,1606,MRS,1353,,0,738 FR,4296,MLA,1606,NYO,699,,0,738 FR,4296,MLA,1606,PIK,537,,0,738 FR,4296,MLA,1606,PSA,1562,,0,738 FR,4296,MLA,1606,RYG,657,,0,738 FR,4296,MLA,1606,STN,548,,0,738 FR,4296,MLA,1606,TPS,1515,,0,738 FR,4296,MLA,1606,TRN,1526,,0,738 FR,4296,MLA,1606,TSF,1539,,0,738 FR,4296,MLA,1606,WRO,680,,0,738 FR,4296,MMX,708,AGP,1230,,0,738 FR,4296,MMX,708,STN,548,,0,738 FR,4296,MPL,1359,CRL,304,,0,738 FR,4296,MPL,1359,HHN,355,,0,738 FR,4296,MPL,1359,LBA,517,,0,738 FR,4296,MRS,1353,AGA,1064,,0,738 FR,4296,MRS,1353,AGP,1230,,0,738 FR,4296,MRS,1353,BES,1403,,0,738 FR,4296,MRS,1353,BOD,1264,,0,738 FR,4296,MRS,1353,CAG,1519,,0,738 FR,4296,MRS,1353,CHQ,1474,,0,738 FR,4296,MRS,1353,CIA,1553,,0,738 FR,4296,MRS,1353,CRL,304,,0,738 FR,4296,MRS,1353,CTA,1509,,0,738 FR,4296,MRS,1353,EDI,535,,0,738 FR,4296,MRS,1353,EIN,585,,0,738 FR,4296,MRS,1353,ESU,5671,,0,738 FR,4296,MRS,1353,FEZ,1066,,0,738 FR,4296,MRS,1353,GSE,691,,0,738 FR,4296,MRS,1353,IBZ,1225,,0,738 FR,4296,MRS,1353,LIL,1399,,0,738 FR,4296,MRS,1353,LIS,1638,,0,738 FR,4296,MRS,1353,MAD,1229,,0,738 FR,4296,MRS,1353,MLA,1606,,0,738 FR,4296,MRS,1353,NDR,5673,,0,738 FR,4296,MRS,1353,NTE,1418,,0,738 FR,4296,MRS,1353,OPO,1636,,0,738 FR,4296,MRS,1353,OUD,1070,,0,738 FR,4296,MRS,1353,PMI,3998,,0,738 FR,4296,MRS,1353,PMO,1512,,0,738 FR,4296,MRS,1353,RAK,1075,,0,738 FR,4296,MRS,1353,RBA,1072,,0,738 FR,4296,MRS,1353,STN,548,,0,738 FR,4296,MRS,1353,SVQ,1253,,0,738 FR,4296,MRS,1353,TNG,1080,,0,738 FR,4296,MRS,1353,TUF,1376,,0,738 FR,4296,MRS,1353,VLC,1246,,0,738 FR,4296,MRS,1353,WMI,8414,,0,738 FR,4296,MRS,1353,ZAD,1209,,0,738 FR,4296,MST,582,ALC,1212,,0,738 FR,4296,MST,582,BRI,1501,,0,738 FR,4296,MST,582,FAO,1626,,0,738 FR,4296,MST,582,GRO,1222,,0,738 FR,4296,MST,582,OPO,1636,,0,738 FR,4296,MST,582,PMI,3998,,0,738 FR,4296,MST,582,TFS,1056,,0,738 FR,4296,MST,582,TPS,1515,,0,738 FR,4296,NCE,1354,DUB,599,,0,738 FR,4296,NCE,1354,SNN,603,,0,738 FR,4296,NCL,521,DUB,599,,0,738 FR,4296,NCL,521,GRO,1222,,0,738 FR,4296,NDR,5673,BCN,1218,,0,738 FR,4296,NDR,5673,BVA,1367,,0,738 FR,4296,NDR,5673,CRL,304,,0,738 FR,4296,NDR,5673,HHN,355,,0,738 FR,4296,NDR,5673,MRS,1353,,0,738 FR,4296,NOC,600,ACE,1055,,0,738 FR,4296,NOC,600,AGP,1230,,0,738 FR,4296,NOC,600,ALC,1212,,0,738 FR,4296,NOC,600,BRS,490,,0,738 FR,4296,NOC,600,EIN,585,,0,738 FR,4296,NOC,600,EMA,523,,0,738 FR,4296,NOC,600,FAO,1626,,0,738 FR,4296,NOC,600,KUN,3956,,0,738 FR,4296,NOC,600,LPL,491,,0,738 FR,4296,NOC,600,LTN,492,,0,738 FR,4296,NOC,600,STN,548,,0,738 FR,4296,NOC,600,TFS,1056,,0,738 FR,4296,NRN,4198,ACE,1055,,0,738 FR,4296,NRN,4198,AGP,1230,,0,738 FR,4296,NRN,4198,AHO,1517,,0,738 FR,4296,NRN,4198,ALC,1212,,0,738 FR,4296,NRN,4198,AOI,4309,,0,738 FR,4296,NRN,4198,BGY,1525,,0,738 FR,4296,NRN,4198,BLQ,1538,,0,738 FR,4296,NRN,4198,BRI,1501,,0,738 FR,4296,NRN,4198,BZR,1360,,0,738 FR,4296,NRN,4198,CAG,1519,,0,738 FR,4296,NRN,4198,CFU,1460,,0,738 FR,4296,NRN,4198,CHQ,1474,,0,738 FR,4296,NRN,4198,CIA,1553,,0,738 FR,4296,NRN,4198,EDI,535,,0,738 FR,4296,NRN,4198,FAO,1626,,0,738 FR,4296,NRN,4198,FEZ,1066,,0,738 FR,4296,NRN,4198,FUE,1051,,0,738 FR,4296,NRN,4198,GRO,1222,,0,738 FR,4296,NRN,4198,IBZ,1225,,0,738 FR,4296,NRN,4198,LEI,1213,,0,738 FR,4296,NRN,4198,LPA,1054,,0,738 FR,4296,NRN,4198,LPP,441,,0,738 FR,4296,NRN,4198,OPO,1636,,0,738 FR,4296,NRN,4198,OUD,1070,,0,738 FR,4296,NRN,4198,PMI,3998,,0,738 FR,4296,NRN,4198,PMO,1512,,0,738 FR,4296,NRN,4198,PSA,1562,,0,738 FR,4296,NRN,4198,PSR,1505,,0,738 FR,4296,NRN,4198,RAK,1075,,0,738 FR,4296,NRN,4198,RIX,3953,,0,738 FR,4296,NRN,4198,SDR,1251,,0,738 FR,4296,NRN,4198,SKG,1486,,0,738 FR,4296,NRN,4198,STN,548,,0,738 FR,4296,NRN,4198,SUF,1508,,0,738 FR,4296,NRN,4198,TFS,1056,,0,738 FR,4296,NRN,4198,TSF,1539,,0,738 FR,4296,NRN,4198,VLC,1246,,0,738 FR,4296,NRN,4198,ZAD,1209,,0,738 FR,4296,NTE,1418,DUB,599,,0,738 FR,4296,NTE,1418,FEZ,1066,,0,738 FR,4296,NTE,1418,MRS,1353,,0,738 FR,4296,NUE,347,AGP,1230,,0,738 FR,4296,NUE,347,ALC,1212,,0,738 FR,4296,NUE,347,STN,548,,0,738 FR,4296,NYO,699,AGP,1230,,0,738 FR,4296,NYO,699,AHO,1517,,0,738 FR,4296,NYO,699,ALC,1212,,0,738 FR,4296,NYO,699,BCN,1218,,0,738 FR,4296,NYO,699,BGY,1525,,0,738 FR,4296,NYO,699,BIQ,1280,,0,738 FR,4296,NYO,699,BRE,353,,0,738 FR,4296,NYO,699,BVA,1367,,0,738 FR,4296,NYO,699,BZR,1360,,0,738 FR,4296,NYO,699,CHQ,1474,,0,738 FR,4296,NYO,699,CIA,1553,,0,738 FR,4296,NYO,699,CRL,304,,0,738 FR,4296,NYO,699,KRK,669,,0,738 FR,4296,NYO,699,MLA,1606,,0,738 FR,4296,NYO,699,PFO,1198,,0,738 FR,4296,NYO,699,PMI,3998,,0,738 FR,4296,NYO,699,PSA,1562,,0,738 FR,4296,NYO,699,RHO,1472,,0,738 FR,4296,NYO,699,RJK,1205,,0,738 FR,4296,NYO,699,SKG,1486,,0,738 FR,4296,NYO,699,STN,548,,0,738 FR,4296,NYO,699,TSF,1539,,0,738 FR,4296,NYO,699,WMI,8414,,0,738 FR,4296,NYO,699,ZAD,1209,,0,738 FR,4296,OPO,1636,BCN,1218,,0,738 FR,4296,OPO,1636,BGY,1525,,0,738 FR,4296,OPO,1636,BLQ,1538,,0,738 FR,4296,OPO,1636,BOD,1264,,0,738 FR,4296,OPO,1636,BRE,353,,0,738 FR,4296,OPO,1636,BRU,302,,0,738 FR,4296,OPO,1636,BVA,1367,,0,738 FR,4296,OPO,1636,CCF,1352,,0,738 FR,4296,OPO,1636,CFE,1330,,0,738 FR,4296,OPO,1636,CIA,1553,,0,738 FR,4296,OPO,1636,CRL,304,,0,738 FR,4296,OPO,1636,DLE,1309,,0,738 FR,4296,OPO,1636,DTM,373,,0,738 FR,4296,OPO,1636,DUB,599,,0,738 FR,4296,OPO,1636,EBU,1350,,0,738 FR,4296,OPO,1636,EIN,585,,0,738 FR,4296,OPO,1636,FAO,1626,,0,738 FR,4296,OPO,1636,FKB,4166,,0,738 FR,4296,OPO,1636,FMM,3986,,0,738 FR,4296,OPO,1636,HHN,355,,0,738 FR,4296,OPO,1636,LIL,1399,,0,738 FR,4296,OPO,1636,LIS,1638,,0,738 FR,4296,OPO,1636,LPA,1054,,0,738 FR,4296,OPO,1636,LPL,491,,0,738 FR,4296,OPO,1636,LRH,6493,,0,738 FR,4296,OPO,1636,MAD,1229,,0,738 FR,4296,OPO,1636,MRS,1353,,0,738 FR,4296,OPO,1636,MST,582,,0,738 FR,4296,OPO,1636,NRN,4198,,0,738 FR,4296,OPO,1636,PMI,3998,,0,738 FR,4296,OPO,1636,STN,548,,0,738 FR,4296,OPO,1636,SXB,1435,,0,738 FR,4296,OPO,1636,TFS,1056,,0,738 FR,4296,OPO,1636,TUF,1376,,0,738 FR,4296,OPO,1636,VLC,1246,,0,738 FR,4296,OPO,1636,XCR,1374,,0,738 FR,4296,ORK,596,ACE,1055,,0,738 FR,4296,ORK,596,AGP,1230,,0,738 FR,4296,ORK,596,EMA,523,,0,738 FR,4296,ORK,596,FAO,1626,,0,738 FR,4296,ORK,596,FUE,1051,,0,738 FR,4296,ORK,596,GDN,668,,0,738 FR,4296,ORK,596,LGW,502,,0,738 FR,4296,ORK,596,LPA,1054,,0,738 FR,4296,ORK,596,LPL,491,,0,738 FR,4296,ORK,596,PMI,3998,,0,738 FR,4296,ORK,596,STN,548,,0,738 FR,4296,ORK,596,TFS,1056,,0,738 FR,4296,ORK,596,VNO,3959,,0,738 FR,4296,ORK,596,WRO,680,,0,738 FR,4296,OSI,1202,STN,548,,0,738 FR,4296,OSR,1582,STN,548,,0,738 FR,4296,OTP,1657,DUB,599,,0,738 FR,4296,OTP,1657,STN,548,,0,738 FR,4296,OUD,1070,BVA,1367,,0,738 FR,4296,OUD,1070,CRL,304,,0,738 FR,4296,OUD,1070,MRS,1353,,0,738 FR,4296,OUD,1070,NRN,4198,,0,738 FR,4296,PDV,1193,HHN,355,,0,738 FR,4296,PDV,1193,STN,548,,0,738 FR,4296,PEG,1567,CAG,1519,,0,738 FR,4296,PEG,1567,CRL,304,,0,738 FR,4296,PEG,1567,STN,548,,0,738 FR,4296,PEG,1567,TPS,1515,,0,738 FR,4296,PFO,1198,ATH,3941,,0,738 FR,4296,PFO,1198,CHQ,1474,,0,738 FR,4296,PFO,1198,CRL,304,,0,738 FR,4296,PFO,1198,GPA,1473,,0,738 FR,4296,PFO,1198,KRK,669,,0,738 FR,4296,PFO,1198,KUN,3956,,0,738 FR,4296,PFO,1198,MAN,478,,0,738 FR,4296,PFO,1198,NYO,699,,0,738 FR,4296,PFO,1198,SKG,1486,,0,738 FR,4296,PFO,1198,STN,548,,0,738 FR,4296,PGF,1356,CRL,304,,0,738 FR,4296,PGF,1356,STN,548,,0,738 FR,4296,PIK,537,ACE,1055,,0,738 FR,4296,PIK,537,AGP,1230,,0,738 FR,4296,PIK,537,ALC,1212,,0,738 FR,4296,PIK,537,BCN,1218,,0,738 FR,4296,PIK,537,CCF,1352,,0,738 FR,4296,PIK,537,CFU,1460,,0,738 FR,4296,PIK,537,CIA,1553,,0,738 FR,4296,PIK,537,DUB,599,,0,738 FR,4296,PIK,537,FAO,1626,,0,738 FR,4296,PIK,537,FUE,1051,,0,738 FR,4296,PIK,537,IBZ,1225,,0,738 FR,4296,PIK,537,LDY,468,,0,738 FR,4296,PIK,537,LPA,1054,,0,738 FR,4296,PIK,537,MJV,1227,,0,738 FR,4296,PIK,537,MLA,1606,,0,738 FR,4296,PIK,537,PMI,3998,,0,738 FR,4296,PIK,537,REU,1236,,0,738 FR,4296,PIK,537,RIX,3953,,0,738 FR,4296,PIK,537,TFS,1056,,0,738 FR,4296,PIK,537,WMI,8414,,0,738 FR,4296,PIK,537,WRO,680,,0,738 FR,4296,PIS,1268,SNN,603,,0,738 FR,4296,PIS,1268,STN,548,,0,738 FR,4296,PMF,1531,AHO,1517,,0,738 FR,4296,PMF,1531,CAG,1519,,0,738 FR,4296,PMF,1531,STN,548,,0,738 FR,4296,PMF,1531,TPS,1515,,0,738 FR,4296,PMI,3998,AAR,607,,0,738 FR,4296,PMI,3998,AGP,1230,,0,738 FR,4296,PMI,3998,BCN,1218,,0,738 FR,4296,PMI,3998,BGY,1525,,0,738 FR,4296,PMI,3998,BHX,469,,0,738 FR,4296,PMI,3998,BLL,608,,0,738 FR,4296,PMI,3998,BLQ,1538,,0,738 FR,4296,PMI,3998,BOH,494,,0,738 FR,4296,PMI,3998,BRE,353,,0,738 FR,4296,PMI,3998,BRS,490,,0,738 FR,4296,PMI,3998,BRU,302,,0,738 FR,4296,PMI,3998,BTS,1745,,0,738 FR,4296,PMI,3998,BVA,1367,,0,738 FR,4296,PMI,3998,CGN,344,,0,738 FR,4296,PMI,3998,CIA,1553,,0,738 FR,4296,PMI,3998,CRL,304,,0,738 FR,4296,PMI,3998,DTM,373,,0,738 FR,4296,PMI,3998,DUB,599,,0,738 FR,4296,PMI,3998,EDI,535,,0,738 FR,4296,PMI,3998,EIN,585,,0,738 FR,4296,PMI,3998,EMA,523,,0,738 FR,4296,PMI,3998,FKB,4166,,0,738 FR,4296,PMI,3998,FMM,3986,,0,738 FR,4296,PMI,3998,GRO,1222,,0,738 FR,4296,PMI,3998,GRQ,586,,0,738 FR,4296,PMI,3998,GSE,691,,0,738 FR,4296,PMI,3998,HHN,355,,0,738 FR,4296,PMI,3998,KUN,3956,,0,738 FR,4296,PMI,3998,LBA,517,,0,738 FR,4296,PMI,3998,LBC,364,,0,738 FR,4296,PMI,3998,LPL,491,,0,738 FR,4296,PMI,3998,MAD,1229,,0,738 FR,4296,PMI,3998,MAN,478,,0,738 FR,4296,PMI,3998,MRS,1353,,0,738 FR,4296,PMI,3998,MST,582,,0,738 FR,4296,PMI,3998,NRN,4198,,0,738 FR,4296,PMI,3998,NYO,699,,0,738 FR,4296,PMI,3998,OPO,1636,,0,738 FR,4296,PMI,3998,ORK,596,,0,738 FR,4296,PMI,3998,PIK,537,,0,738 FR,4296,PMI,3998,REU,1236,,0,738 FR,4296,PMI,3998,RYG,657,,0,738 FR,4296,PMI,3998,SCQ,1243,,0,738 FR,4296,PMI,3998,SDR,1251,,0,738 FR,4296,PMI,3998,SNN,603,,0,738 FR,4296,PMI,3998,STN,548,,0,738 FR,4296,PMI,3998,SVQ,1253,,0,738 FR,4296,PMI,3998,VLC,1246,,0,738 FR,4296,PMI,3998,WMI,8414,,0,738 FR,4296,PMO,1512,BGY,1525,,0,738 FR,4296,PMO,1512,BLQ,1538,,0,738 FR,4296,PMO,1512,FCO,1555,,0,738 FR,4296,PMO,1512,MAD,1229,,0,738 FR,4296,PMO,1512,MRS,1353,,0,738 FR,4296,PMO,1512,NRN,4198,,0,738 FR,4296,PMO,1512,PSA,1562,,0,738 FR,4296,PMO,1512,STN,548,,0,738 FR,4296,PMO,1512,SVQ,1253,,0,738 FR,4296,PMO,1512,TSF,1539,,0,738 FR,4296,POZ,674,BRS,490,,0,738 FR,4296,POZ,674,CIA,1553,,0,738 FR,4296,POZ,674,DUB,599,,0,738 FR,4296,POZ,674,EDI,535,,0,738 FR,4296,POZ,674,GRO,1222,,0,738 FR,4296,POZ,674,LPL,491,,0,738 FR,4296,POZ,674,RYG,657,,0,738 FR,4296,POZ,674,STN,548,,0,738 FR,4296,PRG,1587,DUB,599,,0,738 FR,4296,PRG,1587,STN,548,,0,738 FR,4296,PSA,1562,AHO,1517,,0,738 FR,4296,PSA,1562,BDS,1506,,0,738 FR,4296,PSA,1562,BLL,608,,0,738 FR,4296,PSA,1562,BOH,494,,0,738 FR,4296,PSA,1562,BRI,1501,,0,738 FR,4296,PSA,1562,BUD,1489,,0,738 FR,4296,PSA,1562,BVA,1367,,0,738 FR,4296,PSA,1562,CAG,1519,,0,738 FR,4296,PSA,1562,CIY,9327,,0,738 FR,4296,PSA,1562,CRL,304,,0,738 FR,4296,PSA,1562,DUB,599,,0,738 FR,4296,PSA,1562,EDI,535,,0,738 FR,4296,PSA,1562,EIN,585,,0,738 FR,4296,PSA,1562,EMA,523,,0,738 FR,4296,PSA,1562,FEZ,1066,,0,738 FR,4296,PSA,1562,FUE,1051,,0,738 FR,4296,PSA,1562,GDN,668,,0,738 FR,4296,PSA,1562,GRO,1222,,0,738 FR,4296,PSA,1562,GSE,691,,0,738 FR,4296,PSA,1562,HAU,645,,0,738 FR,4296,PSA,1562,HHN,355,,0,738 FR,4296,PSA,1562,IBZ,1225,,0,738 FR,4296,PSA,1562,KRK,669,,0,738 FR,4296,PSA,1562,LBA,517,,0,738 FR,4296,PSA,1562,LBC,364,,0,738 FR,4296,PSA,1562,LIS,1638,,0,738 FR,4296,PSA,1562,LPA,1054,,0,738 FR,4296,PSA,1562,LPL,491,,0,738 FR,4296,PSA,1562,MAD,1229,,0,738 FR,4296,PSA,1562,MLA,1606,,0,738 FR,4296,PSA,1562,NRN,4198,,0,738 FR,4296,PSA,1562,NYO,699,,0,738 FR,4296,PSA,1562,PMO,1512,,0,738 FR,4296,PSA,1562,RAK,1075,,0,738 FR,4296,PSA,1562,SKG,1486,,0,738 FR,4296,PSA,1562,STN,548,,0,738 FR,4296,PSA,1562,SUF,1508,,0,738 FR,4296,PSA,1562,SVQ,1253,,0,738 FR,4296,PSA,1562,TFS,1056,,0,738 FR,4296,PSA,1562,TPS,1515,,0,738 FR,4296,PSA,1562,TRF,664,,0,738 FR,4296,PSA,1562,VLC,1246,,0,738 FR,4296,PSA,1562,WMI,8414,,0,738 FR,4296,PSR,1505,BGY,1525,,0,738 FR,4296,PSR,1505,BVA,1367,,0,738 FR,4296,PSR,1505,CAG,1519,,0,738 FR,4296,PSR,1505,CRL,304,,0,738 FR,4296,PSR,1505,GRO,1222,,0,738 FR,4296,PSR,1505,HHN,355,,0,738 FR,4296,PSR,1505,NRN,4198,,0,738 FR,4296,PSR,1505,STN,548,,0,738 FR,4296,PUY,1203,BVA,1367,,0,738 FR,4296,PUY,1203,CRL,304,,0,738 FR,4296,PUY,1203,HHN,355,,0,738 FR,4296,PUY,1203,RYG,657,,0,738 FR,4296,PUY,1203,STN,548,,0,738 FR,4296,RAK,1075,BGY,1525,,0,738 FR,4296,RAK,1075,BVA,1367,,0,738 FR,4296,RAK,1075,CIA,1553,,0,738 FR,4296,RAK,1075,CRL,304,,0,738 FR,4296,RAK,1075,DLE,1309,,0,738 FR,4296,RAK,1075,DUB,599,,0,738 FR,4296,RAK,1075,EIN,585,,0,738 FR,4296,RAK,1075,GRO,1222,,0,738 FR,4296,RAK,1075,HHN,355,,0,738 FR,4296,RAK,1075,LTN,492,,0,738 FR,4296,RAK,1075,MAD,1229,,0,738 FR,4296,RAK,1075,MRS,1353,,0,738 FR,4296,RAK,1075,NRN,4198,,0,738 FR,4296,RAK,1075,PSA,1562,,0,738 FR,4296,RAK,1075,STN,548,,0,738 FR,4296,RAK,1075,SVQ,1253,,0,738 FR,4296,RAK,1075,TUF,1376,,0,738 FR,4296,RAK,1075,XCR,1374,,0,738 FR,4296,RBA,1072,BVA,1367,,0,738 FR,4296,RBA,1072,CRL,304,,0,738 FR,4296,RBA,1072,GRO,1222,,0,738 FR,4296,RBA,1072,MAD,1229,,0,738 FR,4296,RBA,1072,MRS,1353,,0,738 FR,4296,RBA,1072,STN,548,,0,738 FR,4296,RDZ,1289,CRL,304,,0,738 FR,4296,RDZ,1289,DUB,599,,0,738 FR,4296,RDZ,1289,STN,548,,0,738 FR,4296,REU,1236,BHX,469,,0,738 FR,4296,REU,1236,BRS,490,,0,738 FR,4296,REU,1236,CRL,304,,0,738 FR,4296,REU,1236,DUB,599,,0,738 FR,4296,REU,1236,EIN,585,,0,738 FR,4296,REU,1236,EMA,523,,0,738 FR,4296,REU,1236,HHN,355,,0,738 FR,4296,REU,1236,LPL,491,,0,738 FR,4296,REU,1236,LTN,492,,0,738 FR,4296,REU,1236,MAN,478,,0,738 FR,4296,REU,1236,PIK,537,,0,738 FR,4296,REU,1236,PMI,3998,,0,738 FR,4296,REU,1236,STN,548,,0,738 FR,4296,RHO,1472,ATH,3941,,0,738 FR,4296,RHO,1472,BGY,1525,,0,738 FR,4296,RHO,1472,BOH,494,,0,738 FR,4296,RHO,1472,CRL,304,,0,738 FR,4296,RHO,1472,EMA,523,,0,738 FR,4296,RHO,1472,KUN,3956,,0,738 FR,4296,RHO,1472,LPL,491,,0,738 FR,4296,RHO,1472,NYO,699,,0,738 FR,4296,RHO,1472,RYG,657,,0,738 FR,4296,RHO,1472,STN,548,,0,738 FR,4296,RIX,3953,BGY,1525,,0,738 FR,4296,RIX,3953,BRE,353,,0,738 FR,4296,RIX,3953,DUB,599,,0,738 FR,4296,RIX,3953,EMA,523,,0,738 FR,4296,RIX,3953,HHN,355,,0,738 FR,4296,RIX,3953,MAN,478,,0,738 FR,4296,RIX,3953,NRN,4198,,0,738 FR,4296,RIX,3953,PIK,537,,0,738 FR,4296,RIX,3953,RYG,657,,0,738 FR,4296,RIX,3953,STN,548,,0,738 FR,4296,RJK,1205,NYO,699,,0,738 FR,4296,RYG,657,AGP,1230,,0,738 FR,4296,RYG,657,ALC,1212,,0,738 FR,4296,RYG,657,BCN,1218,,0,738 FR,4296,RYG,657,BGY,1525,,0,738 FR,4296,RYG,657,BLQ,1538,,0,738 FR,4296,RYG,657,BVA,1367,,0,738 FR,4296,RYG,657,BZR,1360,,0,738 FR,4296,RYG,657,CFU,1460,,0,738 FR,4296,RYG,657,CHQ,1474,,0,738 FR,4296,RYG,657,CIA,1553,,0,738 FR,4296,RYG,657,CRL,304,,0,738 FR,4296,RYG,657,DUB,599,,0,738 FR,4296,RYG,657,EDI,535,,0,738 FR,4296,RYG,657,GDN,668,,0,738 FR,4296,RYG,657,KGS,1458,,0,738 FR,4296,RYG,657,KRK,669,,0,738 FR,4296,RYG,657,KUN,3956,,0,738 FR,4296,RYG,657,MAD,1229,,0,738 FR,4296,RYG,657,MAN,478,,0,738 FR,4296,RYG,657,MLA,1606,,0,738 FR,4296,RYG,657,PMI,3998,,0,738 FR,4296,RYG,657,POZ,674,,0,738 FR,4296,RYG,657,PUY,1203,,0,738 FR,4296,RYG,657,RHO,1472,,0,738 FR,4296,RYG,657,RIX,3953,,0,738 FR,4296,RYG,657,RZE,675,,0,738 FR,4296,RYG,657,SKG,1486,,0,738 FR,4296,RYG,657,STN,548,,0,738 FR,4296,RYG,657,SXF,337,,0,738 FR,4296,RYG,657,TLL,415,,0,738 FR,4296,RYG,657,TSF,1539,,0,738 FR,4296,RYG,657,VNO,3959,,0,738 FR,4296,RYG,657,WMI,8414,,0,738 FR,4296,RYG,657,WRO,680,,0,738 FR,4296,RYG,657,ZAD,1209,,0,738 FR,4296,RZE,675,BRS,490,,0,738 FR,4296,RZE,675,DUB,599,,0,738 FR,4296,RZE,675,EMA,523,,0,738 FR,4296,RZE,675,LTN,492,,0,738 FR,4296,RZE,675,MAN,478,,0,738 FR,4296,RZE,675,RYG,657,,0,738 FR,4296,RZE,675,STN,548,,0,738 FR,4296,SCQ,1243,ACE,1055,,0,738 FR,4296,SCQ,1243,AGP,1230,,0,738 FR,4296,SCQ,1243,ALC,1212,,0,738 FR,4296,SCQ,1243,BCN,1218,,0,738 FR,4296,SCQ,1243,BGY,1525,,0,738 FR,4296,SCQ,1243,HHN,355,,0,738 FR,4296,SCQ,1243,LPA,1054,,0,738 FR,4296,SCQ,1243,MAD,1229,,0,738 FR,4296,SCQ,1243,PMI,3998,,0,738 FR,4296,SCQ,1243,STN,548,,0,738 FR,4296,SCQ,1243,SVQ,1253,,0,738 FR,4296,SCQ,1243,TFS,1056,,0,738 FR,4296,SCQ,1243,VLC,1246,,0,738 FR,4296,SDR,1251,ACE,1055,,0,738 FR,4296,SDR,1251,AGP,1230,,0,738 FR,4296,SDR,1251,BCN,1218,,0,738 FR,4296,SDR,1251,BGY,1525,,0,738 FR,4296,SDR,1251,CIA,1553,,0,738 FR,4296,SDR,1251,CRL,304,,0,738 FR,4296,SDR,1251,DUB,599,,0,738 FR,4296,SDR,1251,EDI,535,,0,738 FR,4296,SDR,1251,HHN,355,,0,738 FR,4296,SDR,1251,LPA,1054,,0,738 FR,4296,SDR,1251,NRN,4198,,0,738 FR,4296,SDR,1251,PMI,3998,,0,738 FR,4296,SDR,1251,STN,548,,0,738 FR,4296,SDR,1251,SVQ,1253,,0,738 FR,4296,SDR,1251,TFS,1056,,0,738 FR,4296,SDR,1251,VLC,1246,,0,738 FR,4296,SFT,726,GRO,1222,,0,738 FR,4296,SFT,726,STN,548,,0,738 FR,4296,SKG,1486,ATH,3941,,0,738 FR,4296,SKG,1486,BGY,1525,,0,738 FR,4296,SKG,1486,BRE,353,,0,738 FR,4296,SKG,1486,CHQ,1474,,0,738 FR,4296,SKG,1486,CIA,1553,,0,738 FR,4296,SKG,1486,CRL,304,,0,738 FR,4296,SKG,1486,FKB,4166,,0,738 FR,4296,SKG,1486,GRO,1222,,0,738 FR,4296,SKG,1486,HHN,355,,0,738 FR,4296,SKG,1486,NRN,4198,,0,738 FR,4296,SKG,1486,NYO,699,,0,738 FR,4296,SKG,1486,PFO,1198,,0,738 FR,4296,SKG,1486,PSA,1562,,0,738 FR,4296,SKG,1486,RYG,657,,0,738 FR,4296,SKG,1486,STN,548,,0,738 FR,4296,SKG,1486,WMI,8414,,0,738 FR,4296,SNN,603,ACE,1055,,0,738 FR,4296,SNN,603,AGP,1230,,0,738 FR,4296,SNN,603,ALC,1212,,0,738 FR,4296,SNN,603,BVA,1367,,0,738 FR,4296,SNN,603,FAO,1626,,0,738 FR,4296,SNN,603,FMM,3986,,0,738 FR,4296,SNN,603,FUE,1051,,0,738 FR,4296,SNN,603,KRK,669,,0,738 FR,4296,SNN,603,LGW,502,,0,738 FR,4296,SNN,603,LPL,491,,0,738 FR,4296,SNN,603,NCE,1354,,0,738 FR,4296,SNN,603,PIS,1268,,0,738 FR,4296,SNN,603,PMI,3998,,0,738 FR,4296,SNN,603,STN,548,,0,738 FR,4296,SNN,603,SXF,337,,0,738 FR,4296,SNN,603,TFS,1056,,0,738 FR,4296,SNN,603,WMI,8414,,0,738 FR,4296,SNN,603,WRO,680,,0,738 FR,4296,STN,548,AAR,607,,0,738 FR,4296,STN,548,ACE,1055,,0,738 FR,4296,STN,548,AGP,1230,,0,738 FR,4296,STN,548,AHO,1517,,0,738 FR,4296,STN,548,ALC,1212,,0,738 FR,4296,STN,548,AOI,4309,,0,738 FR,4296,STN,548,ATH,3941,,0,738 FR,4296,STN,548,BCN,1218,,0,738 FR,4296,STN,548,BDS,1506,,0,738 FR,4296,STN,548,BGY,1525,,0,738 FR,4296,STN,548,BIQ,1280,,0,738 FR,4296,STN,548,BLL,608,,0,738 FR,4296,STN,548,BLQ,1538,,0,738 FR,4296,STN,548,BOD,1264,,0,738 FR,4296,STN,548,BRE,353,,0,738 FR,4296,STN,548,BRI,1501,,0,738 FR,4296,STN,548,BRQ,1588,,0,738 FR,4296,STN,548,BSL,1423,,0,738 FR,4296,STN,548,BTS,1745,,0,738 FR,4296,STN,548,BUD,1489,,0,738 FR,4296,STN,548,BVE,1278,,0,738 FR,4296,STN,548,BZG,5591,,0,738 FR,4296,STN,548,CCF,1352,,0,738 FR,4296,STN,548,CFU,1460,,0,738 FR,4296,STN,548,CHQ,1474,,0,738 FR,4296,STN,548,CIA,1553,,0,738 FR,4296,STN,548,CIY,9327,,0,738 FR,4296,STN,548,DNR,1405,,0,738 FR,4296,STN,548,DTM,373,,0,738 FR,4296,STN,548,DUB,599,,0,738 FR,4296,STN,548,EFL,1455,,0,738 FR,4296,STN,548,EGC,1265,,0,738 FR,4296,STN,548,EIN,585,,0,738 FR,4296,STN,548,FAO,1626,,0,738 FR,4296,STN,548,FEZ,1066,,0,738 FR,4296,STN,548,FKB,4166,,0,738 FR,4296,STN,548,FMM,3986,,0,738 FR,4296,STN,548,FUE,1051,,0,738 FR,4296,STN,548,GDN,668,,0,738 FR,4296,STN,548,GOA,1528,,0,738 FR,4296,STN,548,GRO,1222,,0,738 FR,4296,STN,548,GSE,691,,0,738 FR,4296,STN,548,HAU,645,,0,738 FR,4296,STN,548,HHN,355,,0,738 FR,4296,STN,548,IBZ,1225,,0,738 FR,4296,STN,548,KGS,1458,,0,738 FR,4296,STN,548,KIR,601,,0,738 FR,4296,STN,548,KRK,669,,0,738 FR,4296,STN,548,KTW,671,,0,738 FR,4296,STN,548,KUN,3956,,0,738 FR,4296,STN,548,LDE,1276,,0,738 FR,4296,STN,548,LDY,468,,0,738 FR,4296,STN,548,LEI,1213,,0,738 FR,4296,STN,548,LEJ,348,,0,738 FR,4296,STN,548,LIG,1270,,0,738 FR,4296,STN,548,LIS,1638,,0,738 FR,4296,STN,548,LNZ,1611,,0,738 FR,4296,STN,548,LPA,1054,,0,738 FR,4296,STN,548,LRH,6493,,0,738 FR,4296,STN,548,LUZ,8832,,0,738 FR,4296,STN,548,MAD,1229,,0,738 FR,4296,STN,548,MJV,1227,,0,738 FR,4296,STN,548,MLA,1606,,0,738 FR,4296,STN,548,MMX,708,,0,738 FR,4296,STN,548,MRS,1353,,0,738 FR,4296,STN,548,NOC,600,,0,738 FR,4296,STN,548,NRN,4198,,0,738 FR,4296,STN,548,NUE,347,,0,738 FR,4296,STN,548,NYO,699,,0,738 FR,4296,STN,548,OPO,1636,,0,738 FR,4296,STN,548,ORK,596,,0,738 FR,4296,STN,548,OSI,1202,,0,738 FR,4296,STN,548,OSR,1582,,0,738 FR,4296,STN,548,OTP,1657,,0,738 FR,4296,STN,548,PDV,1193,,0,738 FR,4296,STN,548,PEG,1567,,0,738 FR,4296,STN,548,PFO,1198,,0,738 FR,4296,STN,548,PGF,1356,,0,738 FR,4296,STN,548,PIS,1268,,0,738 FR,4296,STN,548,PMF,1531,,0,738 FR,4296,STN,548,PMI,3998,,0,738 FR,4296,STN,548,PMO,1512,,0,738 FR,4296,STN,548,POZ,674,,0,738 FR,4296,STN,548,PRG,1587,,0,738 FR,4296,STN,548,PSA,1562,,0,738 FR,4296,STN,548,PSR,1505,,0,738 FR,4296,STN,548,PUY,1203,,0,738 FR,4296,STN,548,RAK,1075,,0,738 FR,4296,STN,548,RBA,1072,,0,738 FR,4296,STN,548,RDZ,1289,,0,738 FR,4296,STN,548,REU,1236,,0,738 FR,4296,STN,548,RHO,1472,,0,738 FR,4296,STN,548,RIX,3953,,0,738 FR,4296,STN,548,RYG,657,,0,738 FR,4296,STN,548,RZE,675,,0,738 FR,4296,STN,548,SCQ,1243,,0,738 FR,4296,STN,548,SDR,1251,,0,738 FR,4296,STN,548,SFT,726,,0,738 FR,4296,STN,548,SKG,1486,,0,738 FR,4296,STN,548,SNN,603,,0,738 FR,4296,STN,548,SUF,1508,,0,738 FR,4296,STN,548,SVQ,1253,,0,738 FR,4296,STN,548,SXB,1435,,0,738 FR,4296,STN,548,SXF,337,,0,738 FR,4296,STN,548,SZG,1612,,0,738 FR,4296,STN,548,SZZ,676,,0,738 FR,4296,STN,548,TFS,1056,,0,738 FR,4296,STN,548,TGD,1741,,0,738 FR,4296,STN,548,TLL,415,,0,738 FR,4296,STN,548,TLN,1438,,0,738 FR,4296,STN,548,TMP,458,,0,738 FR,4296,STN,548,TRF,664,,0,738 FR,4296,STN,548,TRN,1526,,0,738 FR,4296,STN,548,TRS,1545,,0,738 FR,4296,STN,548,TSF,1539,,0,738 FR,4296,STN,548,TUF,1376,,0,738 FR,4296,STN,548,VLC,1246,,0,738 FR,4296,STN,548,VNO,3959,,0,738 FR,4296,STN,548,VST,733,,0,738 FR,4296,STN,548,WMI,8414,,0,738 FR,4296,STN,548,WRO,680,,0,738 FR,4296,STN,548,XRY,1226,,0,738 FR,4296,STN,548,ZAD,1209,,0,738 FR,4296,STN,548,ZAZ,1252,,0,738 FR,4296,SUF,1508,BGY,1525,,0,738 FR,4296,SUF,1508,BLQ,1538,,0,738 FR,4296,SUF,1508,CRL,304,,0,738 FR,4296,SUF,1508,FCO,1555,,0,738 FR,4296,SUF,1508,HHN,355,,0,738 FR,4296,SUF,1508,NRN,4198,,0,738 FR,4296,SUF,1508,PSA,1562,,0,738 FR,4296,SUF,1508,STN,548,,0,738 FR,4296,SUF,1508,TSF,1539,,0,738 FR,4296,SVQ,1253,ACE,1055,,0,738 FR,4296,SVQ,1253,BCN,1218,,0,738 FR,4296,SVQ,1253,BGY,1525,,0,738 FR,4296,SVQ,1253,BLQ,1538,,0,738 FR,4296,SVQ,1253,BOD,1264,,0,738 FR,4296,SVQ,1253,BRI,1501,,0,738 FR,4296,SVQ,1253,BVA,1367,,0,738 FR,4296,SVQ,1253,CIA,1553,,0,738 FR,4296,SVQ,1253,CRL,304,,0,738 FR,4296,SVQ,1253,DUB,599,,0,738 FR,4296,SVQ,1253,EIN,585,,0,738 FR,4296,SVQ,1253,LGW,502,,0,738 FR,4296,SVQ,1253,LPA,1054,,0,738 FR,4296,SVQ,1253,MRS,1353,,0,738 FR,4296,SVQ,1253,PMI,3998,,0,738 FR,4296,SVQ,1253,PMO,1512,,0,738 FR,4296,SVQ,1253,PSA,1562,,0,738 FR,4296,SVQ,1253,RAK,1075,,0,738 FR,4296,SVQ,1253,SCQ,1243,,0,738 FR,4296,SVQ,1253,SDR,1251,,0,738 FR,4296,SVQ,1253,STN,548,,0,738 FR,4296,SVQ,1253,TFS,1056,,0,738 FR,4296,SXB,1435,OPO,1636,,0,738 FR,4296,SXB,1435,STN,548,,0,738 FR,4296,SXF,337,BGY,1525,,0,738 FR,4296,SXF,337,DUB,599,,0,738 FR,4296,SXF,337,EMA,523,,0,738 FR,4296,SXF,337,RYG,657,,0,738 FR,4296,SXF,337,SNN,603,,0,738 FR,4296,SXF,337,STN,548,,0,738 FR,4296,SZG,1612,STN,548,,0,738 FR,4296,SZZ,676,DUB,599,,0,738 FR,4296,SZZ,676,LPL,491,,0,738 FR,4296,SZZ,676,STN,548,,0,738 FR,4296,TFN,1057,BCN,1218,,0,738 FR,4296,TFN,1057,MAD,1229,,0,738 FR,4296,TFS,1056,BCN,1218,,0,738 FR,4296,TFS,1056,BGY,1525,,0,738 FR,4296,TFS,1056,BHX,469,,0,738 FR,4296,TFS,1056,BLL,608,,0,738 FR,4296,TFS,1056,BLQ,1538,,0,738 FR,4296,TFS,1056,BOH,494,,0,738 FR,4296,TFS,1056,BRE,353,,0,738 FR,4296,TFS,1056,BRS,490,,0,738 FR,4296,TFS,1056,BVA,1367,,0,738 FR,4296,TFS,1056,CGN,344,,0,738 FR,4296,TFS,1056,CRL,304,,0,738 FR,4296,TFS,1056,DUB,599,,0,738 FR,4296,TFS,1056,EDI,535,,0,738 FR,4296,TFS,1056,EMA,523,,0,738 FR,4296,TFS,1056,FKB,4166,,0,738 FR,4296,TFS,1056,FMM,3986,,0,738 FR,4296,TFS,1056,HHN,355,,0,738 FR,4296,TFS,1056,LBA,517,,0,738 FR,4296,TFS,1056,LPL,491,,0,738 FR,4296,TFS,1056,LTN,492,,0,738 FR,4296,TFS,1056,MAD,1229,,0,738 FR,4296,TFS,1056,MAN,478,,0,738 FR,4296,TFS,1056,MST,582,,0,738 FR,4296,TFS,1056,NOC,600,,0,738 FR,4296,TFS,1056,NRN,4198,,0,738 FR,4296,TFS,1056,OPO,1636,,0,738 FR,4296,TFS,1056,ORK,596,,0,738 FR,4296,TFS,1056,PIK,537,,0,738 FR,4296,TFS,1056,PSA,1562,,0,738 FR,4296,TFS,1056,SCQ,1243,,0,738 FR,4296,TFS,1056,SDR,1251,,0,738 FR,4296,TFS,1056,SNN,603,,0,738 FR,4296,TFS,1056,STN,548,,0,738 FR,4296,TFS,1056,SVQ,1253,,0,738 FR,4296,TFS,1056,VLC,1246,,0,738 FR,4296,TGD,1741,CRL,304,,0,738 FR,4296,TGD,1741,STN,548,,0,738 FR,4296,TLL,415,BGY,1525,,0,738 FR,4296,TLL,415,BRE,353,,0,738 FR,4296,TLL,415,GRO,1222,,0,738 FR,4296,TLL,415,MAN,478,,0,738 FR,4296,TLL,415,RYG,657,,0,738 FR,4296,TLL,415,STN,548,,0,738 FR,4296,TLN,1438,STN,548,,0,738 FR,4296,TMP,458,AGP,1230,,0,738 FR,4296,TMP,458,ALC,1212,,0,738 FR,4296,TMP,458,BGY,1525,,0,738 FR,4296,TMP,458,BRE,353,,0,738 FR,4296,TMP,458,BUD,1489,,0,738 FR,4296,TMP,458,GRO,1222,,0,738 FR,4296,TMP,458,HHN,355,,0,738 FR,4296,TMP,458,STN,548,,0,738 FR,4296,TNG,1080,BVA,1367,,0,738 FR,4296,TNG,1080,CRL,304,,0,738 FR,4296,TNG,1080,MAD,1229,,0,738 FR,4296,TNG,1080,MRS,1353,,0,738 FR,4296,TPS,1515,AOI,4309,,0,738 FR,4296,TPS,1515,BGY,1525,,0,738 FR,4296,TPS,1515,BLQ,1538,,0,738 FR,4296,TPS,1515,BTS,1745,,0,738 FR,4296,TPS,1515,BVA,1367,,0,738 FR,4296,TPS,1515,CAG,1519,,0,738 FR,4296,TPS,1515,CIA,1553,,0,738 FR,4296,TPS,1515,CRL,304,,0,738 FR,4296,TPS,1515,CUF,1534,,0,738 FR,4296,TPS,1515,EIN,585,,0,738 FR,4296,TPS,1515,FKB,4166,,0,738 FR,4296,TPS,1515,FMM,3986,,0,738 FR,4296,TPS,1515,GOA,1528,,0,738 FR,4296,TPS,1515,GRO,1222,,0,738 FR,4296,TPS,1515,HHN,355,,0,738 FR,4296,TPS,1515,KRK,669,,0,738 FR,4296,TPS,1515,KUN,3956,,0,738 FR,4296,TPS,1515,MAN,478,,0,738 FR,4296,TPS,1515,MLA,1606,,0,738 FR,4296,TPS,1515,MST,582,,0,738 FR,4296,TPS,1515,PEG,1567,,0,738 FR,4296,TPS,1515,PMF,1531,,0,738 FR,4296,TPS,1515,PSA,1562,,0,738 FR,4296,TPS,1515,TRN,1526,,0,738 FR,4296,TPS,1515,TRS,1545,,0,738 FR,4296,TPS,1515,TSF,1539,,0,738 FR,4296,TPS,1515,WMI,8414,,0,738 FR,4296,TRF,664,AGP,1230,,0,738 FR,4296,TRF,664,AHO,1517,,0,738 FR,4296,TRF,664,ALC,1212,,0,738 FR,4296,TRF,664,LPL,491,,0,738 FR,4296,TRF,664,PSA,1562,,0,738 FR,4296,TRF,664,STN,548,,0,738 FR,4296,TRN,1526,BCN,1218,,0,738 FR,4296,TRN,1526,BDS,1506,,0,738 FR,4296,TRN,1526,BRI,1501,,0,738 FR,4296,TRN,1526,CRL,304,,0,738 FR,4296,TRN,1526,CTA,1509,,0,738 FR,4296,TRN,1526,MLA,1606,,0,738 FR,4296,TRN,1526,STN,548,,0,738 FR,4296,TRN,1526,TPS,1515,,0,738 FR,4296,TRS,1545,AHO,1517,,0,738 FR,4296,TRS,1545,BRI,1501,,0,738 FR,4296,TRS,1545,BVA,1367,,0,738 FR,4296,TRS,1545,CRL,304,,0,738 FR,4296,TRS,1545,STN,548,,0,738 FR,4296,TRS,1545,TPS,1515,,0,738 FR,4296,TRS,1545,VLC,1246,,0,738 FR,4296,TSF,1539,AGP,1230,,0,738 FR,4296,TSF,1539,AHO,1517,,0,738 FR,4296,TSF,1539,BCN,1218,,0,738 FR,4296,TSF,1539,BDS,1506,,0,738 FR,4296,TSF,1539,BLL,608,,0,738 FR,4296,TSF,1539,BRE,353,,0,738 FR,4296,TSF,1539,BRI,1501,,0,738 FR,4296,TSF,1539,BRS,490,,0,738 FR,4296,TSF,1539,BRU,302,,0,738 FR,4296,TSF,1539,BUD,1489,,0,738 FR,4296,TSF,1539,BVA,1367,,0,738 FR,4296,TSF,1539,CAG,1519,,0,738 FR,4296,TSF,1539,CHQ,1474,,0,738 FR,4296,TSF,1539,CRL,304,,0,738 FR,4296,TSF,1539,CTA,1509,,0,738 FR,4296,TSF,1539,DUB,599,,0,738 FR,4296,TSF,1539,EIN,585,,0,738 FR,4296,TSF,1539,EMA,523,,0,738 FR,4296,TSF,1539,HHN,355,,0,738 FR,4296,TSF,1539,LBA,517,,0,738 FR,4296,TSF,1539,MLA,1606,,0,738 FR,4296,TSF,1539,NRN,4198,,0,738 FR,4296,TSF,1539,NYO,699,,0,738 FR,4296,TSF,1539,PMO,1512,,0,738 FR,4296,TSF,1539,RYG,657,,0,738 FR,4296,TSF,1539,STN,548,,0,738 FR,4296,TSF,1539,SUF,1508,,0,738 FR,4296,TSF,1539,TPS,1515,,0,738 FR,4296,TSF,1539,VLC,1246,,0,738 FR,4296,TUF,1376,DUB,599,,0,738 FR,4296,TUF,1376,MRS,1353,,0,738 FR,4296,TUF,1376,OPO,1636,,0,738 FR,4296,TUF,1376,RAK,1075,,0,738 FR,4296,TUF,1376,STN,548,,0,738 FR,4296,VLC,1246,BGY,1525,,0,738 FR,4296,VLC,1246,BLQ,1538,,0,738 FR,4296,VLC,1246,BRI,1501,,0,738 FR,4296,VLC,1246,BRS,490,,0,738 FR,4296,VLC,1246,BRU,302,,0,738 FR,4296,VLC,1246,BVA,1367,,0,738 FR,4296,VLC,1246,CIA,1553,,0,738 FR,4296,VLC,1246,CRL,304,,0,738 FR,4296,VLC,1246,DUB,599,,0,738 FR,4296,VLC,1246,EMA,523,,0,738 FR,4296,VLC,1246,HHN,355,,0,738 FR,4296,VLC,1246,IBZ,1225,,0,738 FR,4296,VLC,1246,LPA,1054,,0,738 FR,4296,VLC,1246,MAH,1231,,0,738 FR,4296,VLC,1246,MAN,478,,0,738 FR,4296,VLC,1246,MRS,1353,,0,738 FR,4296,VLC,1246,NRN,4198,,0,738 FR,4296,VLC,1246,OPO,1636,,0,738 FR,4296,VLC,1246,PMI,3998,,0,738 FR,4296,VLC,1246,PSA,1562,,0,738 FR,4296,VLC,1246,SCQ,1243,,0,738 FR,4296,VLC,1246,SDR,1251,,0,738 FR,4296,VLC,1246,STN,548,,0,738 FR,4296,VLC,1246,TFS,1056,,0,738 FR,4296,VLC,1246,TRS,1545,,0,738 FR,4296,VLC,1246,TSF,1539,,0,738 FR,4296,VLL,1247,BCN,1218,,0,738 FR,4296,VNO,3959,BCN,1218,,0,738 FR,4296,VNO,3959,BGY,1525,,0,738 FR,4296,VNO,3959,BRE,353,,0,738 FR,4296,VNO,3959,BVA,1367,,0,738 FR,4296,VNO,3959,CHQ,1474,,0,738 FR,4296,VNO,3959,CIA,1553,,0,738 FR,4296,VNO,3959,CRL,304,,0,738 FR,4296,VNO,3959,DUB,599,,0,738 FR,4296,VNO,3959,LPL,491,,0,738 FR,4296,VNO,3959,ORK,596,,0,738 FR,4296,VNO,3959,RYG,657,,0,738 FR,4296,VNO,3959,STN,548,,0,738 FR,4296,VOL,1448,CRL,304,,0,738 FR,4296,VOL,1448,HHN,355,,0,738 FR,4296,VST,733,AGP,1230,,0,738 FR,4296,VST,733,ALC,1212,,0,738 FR,4296,VST,733,STN,548,,0,738 FR,4296,VXO,711,ALC,1212,,0,738 FR,4296,WMI,8414,ALC,1212,,0,738 FR,4296,WMI,8414,BCN,1218,,0,738 FR,4296,WMI,8414,BGY,1525,,0,738 FR,4296,WMI,8414,BLQ,1538,,0,738 FR,4296,WMI,8414,BRS,490,,0,738 FR,4296,WMI,8414,BVA,1367,,0,738 FR,4296,WMI,8414,CHQ,1474,,0,738 FR,4296,WMI,8414,CIA,1553,,0,738 FR,4296,WMI,8414,CRL,304,,0,738 FR,4296,WMI,8414,DUB,599,,0,738 FR,4296,WMI,8414,EIN,585,,0,738 FR,4296,WMI,8414,EMA,523,,0,738 FR,4296,WMI,8414,GDN,668,,0,738 FR,4296,WMI,8414,LPL,491,,0,738 FR,4296,WMI,8414,MAN,478,,0,738 FR,4296,WMI,8414,MRS,1353,,0,738 FR,4296,WMI,8414,NYO,699,,0,738 FR,4296,WMI,8414,PIK,537,,0,738 FR,4296,WMI,8414,PMI,3998,,0,738 FR,4296,WMI,8414,PSA,1562,,0,738 FR,4296,WMI,8414,RYG,657,,0,738 FR,4296,WMI,8414,SKG,1486,,0,738 FR,4296,WMI,8414,SNN,603,,0,738 FR,4296,WMI,8414,STN,548,,0,738 FR,4296,WMI,8414,TPS,1515,,0,738 FR,4296,WMI,8414,WRO,680,,0,738 FR,4296,WRO,680,AGP,1230,,0,738 FR,4296,WRO,680,ALC,1212,,0,738 FR,4296,WRO,680,BGY,1525,,0,738 FR,4296,WRO,680,BLQ,1538,,0,738 FR,4296,WRO,680,BRS,490,,0,738 FR,4296,WRO,680,CHQ,1474,,0,738 FR,4296,WRO,680,CIA,1553,,0,738 FR,4296,WRO,680,DUB,599,,0,738 FR,4296,WRO,680,EMA,523,,0,738 FR,4296,WRO,680,GRO,1222,,0,738 FR,4296,WRO,680,LPL,491,,0,738 FR,4296,WRO,680,MLA,1606,,0,738 FR,4296,WRO,680,ORK,596,,0,738 FR,4296,WRO,680,PIK,537,,0,738 FR,4296,WRO,680,RYG,657,,0,738 FR,4296,WRO,680,SNN,603,,0,738 FR,4296,WRO,680,STN,548,,0,738 FR,4296,WRO,680,WMI,8414,,0,738 FR,4296,XCR,1374,OPO,1636,,0,738 FR,4296,XCR,1374,RAK,1075,,0,738 FR,4296,XRY,1226,BCN,1218,,0,738 FR,4296,XRY,1226,HHN,355,,0,738 FR,4296,XRY,1226,STN,548,,0,738 FR,4296,ZAD,1209,BLL,608,,0,738 FR,4296,ZAD,1209,BVA,1367,,0,738 FR,4296,ZAD,1209,CRL,304,,0,738 FR,4296,ZAD,1209,DUB,599,,0,738 FR,4296,ZAD,1209,FKB,4166,,0,738 FR,4296,ZAD,1209,GSE,691,,0,738 FR,4296,ZAD,1209,HAU,645,,0,738 FR,4296,ZAD,1209,HHN,355,,0,738 FR,4296,ZAD,1209,MAN,478,,0,738 FR,4296,ZAD,1209,MRS,1353,,0,738 FR,4296,ZAD,1209,NRN,4198,,0,738 FR,4296,ZAD,1209,NYO,699,,0,738 FR,4296,ZAD,1209,RYG,657,,0,738 FR,4296,ZAD,1209,STN,548,,0,738 FR,4296,ZAZ,1252,ACE,1055,,0,738 FR,4296,ZAZ,1252,BGY,1525,,0,738 FR,4296,ZAZ,1252,BVA,1367,,0,738 FR,4296,ZAZ,1252,CRL,304,,0,738 FR,4296,ZAZ,1252,STN,548,,0,738 FR,4296,ZTH,1488,CRL,304,,0,738 FS,4513,CDG,1382,DJE,293,,0,319 FS,4513,CDG,1382,MIR,286,,0,319 FS,4513,CDG,1382,SFA,295,,0,319 FS,4513,CDG,1382,TUN,287,,0,319 FS,4513,DJE,293,CDG,1382,,0,319 FS,4513,DJE,293,TIP,1157,,0,319 FS,4513,MIR,286,CDG,1382,,0,319 FS,4513,MIR,286,TIP,1157,,0,319 FS,4513,SFA,295,CDG,1382,,0,319 FS,4513,SFA,295,TIP,1157,,0,319 FS,4513,TIP,1157,DJE,293,,0,319 FS,4513,TIP,1157,MIR,286,,0,319 FS,4513,TIP,1157,SFA,295,,0,319 FS,4513,TIP,1157,TUN,287,,0,319 FS,4513,TUN,287,CDG,1382,,0,319 FS,4513,TUN,287,TIP,1157,,0,319 FS,4513,YUL,146,TUN,287,,0,332 FV,641,DUS,345,LED,2948,,0,319 FV,641,KZN,2990,LED,2948,,0,A81 FV,641,LED,2948,DUS,345,,0,319 FV,641,LED,2948,HAM,342,,0,319 FV,641,LED,2948,KZN,2990,,0,A81 FW,2826,CTS,2287,ITM,2334,,0,CRJ FW,2826,CTS,2287,SDJ,2347,,0,CRJ FW,2826,FKS,5999,ITM,2334,,0,CRJ FW,2826,FUK,2305,ITM,2334,,0,CRJ FW,2826,FUK,2305,KMI,2308,,0,CRJ FW,2826,FUK,2305,KMQ,2322,,0,CRJ FW,2826,FUK,2305,NGO,3942,,0,CRJ FW,2826,FUK,2305,SDJ,2347,,0,CRJ FW,2826,HIJ,2326,NRT,2279,,0,CRJ FW,2826,HIJ,2326,SDJ,2347,,0,CRJ FW,2826,ITM,2334,CTS,2287,,0,CRJ FW,2826,ITM,2334,FKS,5999,,0,CRJ FW,2826,ITM,2334,FUK,2305,,0,CRJ FW,2826,ITM,2334,OIT,2310,,0,CRJ FW,2826,ITM,2334,SDJ,2347,,0,CRJ FW,2826,KMI,2308,FUK,2305,,0,CRJ FW,2826,KMQ,2322,FUK,2305,,0,CRJ FW,2826,KMQ,2322,NRT,2279,,0,CRJ FW,2826,KMQ,2322,SDJ,2347,,0,CRJ FW,2826,NGO,3942,FUK,2305,,0,CRJ FW,2826,NGO,3942,OIT,2310,,0,CRJ FW,2826,NGO,3942,SDJ,2347,,0,CRJ FW,2826,NRT,2279,HIJ,2326,,0,CRJ FW,2826,NRT,2279,KMQ,2322,,0,CRJ FW,2826,OIT,2310,ITM,2334,,0,CRJ FW,2826,OIT,2310,NGO,3942,,0,CRJ FW,2826,SDJ,2347,CTS,2287,,0,CRJ FW,2826,SDJ,2347,FUK,2305,,0,CRJ FW,2826,SDJ,2347,HIJ,2326,,0,CRJ FW,2826,SDJ,2347,ITM,2334,,0,CRJ FW,2826,SDJ,2347,KMQ,2322,,0,CRJ FW,2826,SDJ,2347,NGO,3942,,0,CRJ FY,2353,AOR,3296,SZB,3408,,0,AT7 FY,2353,BTH,3903,SZB,3408,,0,AT7 FY,2353,BTJ,3294,PEN,3308,,0,AT7 FY,2353,HKT,3179,PEN,3308,,0,AT7 FY,2353,IPH,3302,SIN,3316,,0,AT7 FY,2353,JHB,3303,KBR,3298,,0,AT7 FY,2353,JHB,3303,SZB,3408,,0,AT7 FY,2353,KBR,3298,JHB,3303,,0,AT7 FY,2353,KBR,3298,PEN,3308,,0,AT7 FY,2353,KBR,3298,SZB,3408,,0,AT7 FY,2353,KTE,3300,SZB,3408,,0,AT7 FY,2353,KUA,3299,PEN,3308,,0,AT7 FY,2353,KUA,3299,SIN,3316,,0,AT7 FY,2353,LGK,3305,PEN,3308,,0,AT7 FY,2353,LGK,3305,SZB,3408,,0,AT7 FY,2353,PEN,3308,BTJ,3294,,0,AT7 FY,2353,PEN,3308,HKT,3179,,0,AT7 FY,2353,PEN,3308,KBR,3298,,0,AT7 FY,2353,PEN,3308,KUA,3299,,0,AT7 FY,2353,PEN,3308,LGK,3305,,0,AT7 FY,2353,PEN,3308,SZB,3408,,0,AT7 FY,2353,PEN,3308,USM,3177,,0,AT7 FY,2353,PKU,3273,SZB,3408,,0,AT7 FY,2353,SIN,3316,IPH,3302,,0,AT7 FY,2353,SIN,3316,KUA,3299,,0,AT7 FY,2353,SIN,3316,SZB,3408,,0,AT7 FY,2353,SZB,3408,AOR,3296,,0,AT7 FY,2353,SZB,3408,BTH,3903,,0,AT7 FY,2353,SZB,3408,JHB,3303,,0,AT7 FY,2353,SZB,3408,KBR,3298,,0,AT7 FY,2353,SZB,3408,KTE,3300,,0,AT7 FY,2353,SZB,3408,LGK,3305,,0,AT7 FY,2353,SZB,3408,PEN,3308,,0,AT7 FY,2353,SZB,3408,PKU,3273,,0,AT7 FY,2353,SZB,3408,SIN,3316,,0,AT7 FY,2353,SZB,3408,TGG,3307,,0,AT7 FY,2353,SZB,3408,USM,3177,,0,AT7 FY,2353,TGG,3307,SZB,3408,,0,AT7 FY,2353,USM,3177,PEN,3308,,0,AT7 FY,2353,USM,3177,SZB,3408,,0,AT7 FZ,14485,ADD,1107,DXB,2188,,0,73H FZ,14485,AHB,2059,DXB,2188,,0,73H FZ,14485,AMD,2994,DWC,8076,,0,73H FZ,14485,AMM,2170,DWC,8076,,0,73H FZ,14485,AMM,2170,DXB,2188,,0,73H FZ,14485,ASB,2976,DXB,2188,,0,73H FZ,14485,BAH,2057,DWC,8076,,0,73H FZ,14485,BAH,2057,DXB,2188,,0,73H FZ,14485,BEG,1739,DXB,2188,,0,73H FZ,14485,BEY,2177,DWC,8076,,0,73H FZ,14485,BGW,4130,DXB,2188,,0,73H FZ,14485,BSR,2234,DXB,2188,,0,73H FZ,14485,CGP,3069,DWC,8076,,0,73H FZ,14485,CMB,3024,DWC,8076,,0,73H FZ,14485,DAC,3076,DXB,2188,,0,73H FZ,14485,DMM,2064,DWC,8076,,0,73H FZ,14485,DMM,2064,DXB,2188,,0,73H FZ,14485,DOH,11051,DWC,8076,,0,73H FZ,14485,DOH,11051,DXB,2188,,0,73H FZ,14485,DOK,2940,DWC,8076,,0,73H FZ,14485,DWC,8076,AMD,2994,,0,73H FZ,14485,DWC,8076,AMM,2170,,0,73H FZ,14485,DWC,8076,BAH,2057,,0,73H FZ,14485,DWC,8076,BEY,2177,,0,73H FZ,14485,DWC,8076,CGP,3069,,0,73H FZ,14485,DWC,8076,CMB,3024,,0,73H FZ,14485,DWC,8076,DMM,2064,,0,73H FZ,14485,DWC,8076,DOH,11051,,0,73H FZ,14485,DWC,8076,DOK,2940,,0,73H FZ,14485,DWC,8076,IEV,2944,,0,73H FZ,14485,DWC,8076,JED,2072,,0,73H FZ,14485,DWC,8076,KBL,2050,,0,73H FZ,14485,DWC,8076,KIV,1735,,0,73H FZ,14485,DWC,8076,KRT,1175,,0,73H FZ,14485,DWC,8076,KTM,3125,,0,73H FZ,14485,DWC,8076,KUF,2993,,0,73H FZ,14485,DWC,8076,KWI,2176,,0,73H FZ,14485,DWC,8076,KZN,2990,,0,73H FZ,14485,DWC,8076,MCT,2194,,0,73H FZ,14485,DWC,8076,MLE,3156,,0,73H FZ,14485,DWC,8076,ODS,2947,,0,73H FZ,14485,DWC,8076,RUH,2082,,0,73H FZ,14485,DWC,8076,SVX,2975,,0,73H FZ,14485,DWC,8076,UFA,2992,,0,73H FZ,14485,DXB,2188,ADD,1107,,0,73H FZ,14485,DXB,2188,AHB,2059,,0,73H FZ,14485,DXB,2188,AMM,2170,,0,73H FZ,14485,DXB,2188,ASB,2976,,0,73H FZ,14485,DXB,2188,BAH,2057,,0,73H FZ,14485,DXB,2188,BEG,1739,,0,73H FZ,14485,DXB,2188,BGW,4130,,0,73H FZ,14485,DXB,2188,BSR,2234,,0,73H FZ,14485,DXB,2188,DAC,3076,,0,73H FZ,14485,DXB,2188,DMM,2064,,0,73H FZ,14485,DXB,2188,DOH,11051,,0,73H FZ,14485,DXB,2188,DYU,2979,,0,73H FZ,14485,DXB,2188,EBL,3989,,0,73H FZ,14485,DXB,2188,ELQ,2067,,0,73H FZ,14485,DXB,2188,EVN,3964,,0,73H FZ,14485,DXB,2188,FRU,2912,,0,73H FZ,14485,DXB,2188,GYD,2922,,0,73H FZ,14485,DXB,2188,HAS,2069,,0,73H FZ,14485,DXB,2188,HBE,3410,,0,73H FZ,14485,DXB,2188,HRK,6105,,0,73H FZ,14485,DXB,2188,HYD,\N,,0,73H FZ,14485,DXB,2188,ISU,5952,,0,73H FZ,14485,DXB,2188,JED,2072,,0,73H FZ,14485,DXB,2188,JIB,4119,,0,73H FZ,14485,DXB,2188,JUB,1173,,0,73H FZ,14485,DXB,2188,KBL,2050,,0,73H FZ,14485,DXB,2188,KHI,2206,,0,73H FZ,14485,DXB,2188,KRR,2960,,0,73H FZ,14485,DXB,2188,KRT,1175,,0,73H FZ,14485,DXB,2188,KTM,3125,,0,73H FZ,14485,DXB,2188,KWI,2176,,0,73H FZ,14485,DXB,2188,LKO,3105,,0,73H FZ,14485,DXB,2188,MCT,2194,,0,73H FZ,14485,DXB,2188,MED,2074,,0,73H FZ,14485,DXB,2188,MRV,2962,,0,73H FZ,14485,DXB,2188,MUX,2214,,0,73H FZ,14485,DXB,2188,NJF,7490,,0,73H FZ,14485,DXB,2188,OTP,1657,,0,73H FZ,14485,DXB,2188,PZU,5702,,0,73H FZ,14485,DXB,2188,ROV,2964,,0,73H FZ,14485,DXB,2188,SAH,3980,,0,73H FZ,14485,DXB,2188,SAW,4317,,0,73H FZ,14485,DXB,2188,SKP,1737,,0,73H FZ,14485,DXB,2188,SKT,6776,,0,73H FZ,14485,DXB,2188,SLL,2195,,0,73H FZ,14485,DXB,2188,TBS,3973,,0,73H FZ,14485,DXB,2188,TIF,2090,,0,73H FZ,14485,DXB,2188,TUU,2089,,0,73H FZ,14485,DXB,2188,VOG,2967,,0,73H FZ,14485,DXB,2188,YNB,2096,,0,73H FZ,14485,DYU,2979,DXB,2188,,0,73H FZ,14485,EBL,3989,DXB,2188,,0,73H FZ,14485,ELQ,2067,DXB,2188,,0,73H FZ,14485,EVN,3964,DXB,2188,,0,73H FZ,14485,FRU,2912,DXB,2188,,0,73H FZ,14485,GYD,2922,DXB,2188,,0,73H FZ,14485,HAS,2069,DXB,2188,,0,73H FZ,14485,HBE,3410,DXB,2188,,0,73H FZ,14485,HRK,6105,DXB,2188,,0,73H FZ,14485,HYD,\N,DXB,2188,,0,73H FZ,14485,IEV,2944,DWC,8076,,0,73H FZ,14485,ISU,5952,DXB,2188,,0,73H FZ,14485,JED,2072,DWC,8076,,0,73H FZ,14485,JED,2072,DXB,2188,,0,73H FZ,14485,JIB,4119,DXB,2188,,0,73H FZ,14485,JUB,1173,DXB,2188,,0,73H FZ,14485,KBL,2050,DWC,8076,,0,73H FZ,14485,KBL,2050,DXB,2188,,0,73H FZ,14485,KHI,2206,DXB,2188,,0,73H FZ,14485,KIV,1735,DWC,8076,,0,73H FZ,14485,KRR,2960,DXB,2188,,0,73H FZ,14485,KRT,1175,DWC,8076,,0,73H FZ,14485,KRT,1175,DXB,2188,,0,73H FZ,14485,KTM,3125,DWC,8076,,0,73H FZ,14485,KTM,3125,DXB,2188,,0,73H FZ,14485,KUF,2993,DWC,8076,,0,73H FZ,14485,KWI,2176,DWC,8076,,0,73H FZ,14485,KWI,2176,DXB,2188,,0,73H FZ,14485,KZN,2990,DWC,8076,,0,73H FZ,14485,LKO,3105,DXB,2188,,0,73H FZ,14485,MCT,2194,DWC,8076,,0,73H FZ,14485,MCT,2194,DXB,2188,,0,73H FZ,14485,MED,2074,DXB,2188,,0,73H FZ,14485,MLE,3156,DWC,8076,,0,73H FZ,14485,MRV,2962,DXB,2188,,0,73H FZ,14485,MUX,2214,DXB,2188,,0,73H FZ,14485,NJF,7490,DXB,2188,,0,73H FZ,14485,ODS,2947,DWC,8076,,0,73H FZ,14485,OTP,1657,DXB,2188,,0,73H FZ,14485,PZU,5702,KRT,1175,,0,73H FZ,14485,ROV,2964,DXB,2188,,0,73H FZ,14485,RUH,2082,DWC,8076,,0,73H FZ,14485,SAH,3980,DXB,2188,,0,73H FZ,14485,SAW,4317,DXB,2188,,0,73H FZ,14485,SKP,1737,DXB,2188,,0,73H FZ,14485,SKT,6776,DXB,2188,,0,73H FZ,14485,SLL,2195,DXB,2188,,0,73H FZ,14485,SVX,2975,DWC,8076,,0,73H FZ,14485,TBS,3973,DXB,2188,,0,73H FZ,14485,TIF,2090,DXB,2188,,0,73H FZ,14485,TUU,2089,DXB,2188,,0,73H FZ,14485,UFA,2992,DWC,8076,,0,73H FZ,14485,VOG,2967,DXB,2188,,0,73H FZ,14485,YNB,2096,DXB,2188,,0,73H G3,1790,AEP,2442,GRU,2564,,0,738 G3,1790,AJU,2522,GIG,2560,,0,738 73G G3,1790,AJU,2522,GRU,2564,,0,73G 738 G3,1790,AJU,2522,SSA,2621,,0,738 G3,1790,ASU,2699,GRU,2564,,0,738 73G G3,1790,AUA,2895,CCS,2851,,0,738 G3,1790,BEL,2526,BSB,2531,,0,738 73G G3,1790,BEL,2526,FOR,2559,,0,738 73G G3,1790,BEL,2526,GIG,2560,,0,738 G3,1790,BEL,2526,GRU,2564,,0,738 G3,1790,BEL,2526,MAB,2584,,0,73G 738 G3,1790,BEL,2526,MAO,2551,,0,73G G3,1790,BEL,2526,MCP,2591,,0,738 73G G3,1790,BEL,2526,SLZ,2616,,0,738 G3,1790,BEL,2526,STM,4092,,0,73G 738 G3,1790,BGI,2875,GRU,2564,,0,738 G3,1790,BPS,4209,CNF,2537,,0,738 G3,1790,BPS,4209,GRU,2564,,0,738 G3,1790,BPS,4209,SSA,2621,,0,738 G3,1790,BSB,2531,BEL,2526,,0,738 G3,1790,BSB,2531,CGB,2548,,0,738 G3,1790,BSB,2531,CGH,2618,,0,738 73G G3,1790,BSB,2531,CGR,2538,,0,738 G3,1790,BSB,2531,CNF,2537,,0,738 73G G3,1790,BSB,2531,CWB,2545,,0,73G 738 G3,1790,BSB,2531,FOR,2559,,0,73G 738 G3,1790,BSB,2531,GIG,2560,,0,738 73G G3,1790,BSB,2531,GRU,2564,,0,738 73G G3,1790,BSB,2531,GYN,2562,,0,738 73G G3,1790,BSB,2531,IMP,2572,,0,73G G3,1790,BSB,2531,JPA,2575,,0,738 G3,1790,BSB,2531,MAB,2584,,0,738 73G G3,1790,BSB,2531,MAO,2551,,0,738 73G G3,1790,BSB,2531,MCZ,2590,,0,738 G3,1790,BSB,2531,NAT,2597,,0,73G 738 G3,1790,BSB,2531,PMW,4214,,0,738 73G G3,1790,BSB,2531,POA,2599,,0,738 G3,1790,BSB,2531,PVH,2607,,0,738 G3,1790,BSB,2531,RBR,2609,,0,73G G3,1790,BSB,2531,REC,2610,,0,738 G3,1790,BSB,2531,SDU,2612,,0,738 73G G3,1790,BSB,2531,SLZ,2616,,0,738 G3,1790,BSB,2531,SSA,2621,,0,738 G3,1790,BSB,2531,THE,2623,,0,73G 738 G3,1790,BSB,2531,VCP,2578,,0,738 G3,1790,BVB,2533,MAO,2551,,0,738 73G G3,1790,CCS,2851,AUA,2895,,0,738 G3,1790,CCS,2851,GRU,2564,,0,738 G3,1790,CCS,2851,PUJ,1760,,0,738 G3,1790,CGB,2548,BSB,2531,,0,738 G3,1790,CGB,2548,CGH,2618,,0,738 G3,1790,CGB,2548,CGR,2538,,0,738 G3,1790,CGB,2548,GIG,2560,,0,738 G3,1790,CGB,2548,GRU,2564,,0,738 73G G3,1790,CGB,2548,PVH,2607,,0,73G G3,1790,CGH,2618,BSB,2531,,0,738 73G G3,1790,CGH,2618,CGB,2548,,0,738 G3,1790,CGH,2618,CGR,2538,,0,738 73G G3,1790,CGH,2618,CLV,4215,,0,73G G3,1790,CGH,2618,CNF,2537,,0,738 73G G3,1790,CGH,2618,CWB,2545,,0,738 73G G3,1790,CGH,2618,CXJ,2547,,0,73G 738 G3,1790,CGH,2618,FLN,2555,,0,73G 738 G3,1790,CGH,2618,GIG,2560,,0,738 73G G3,1790,CGH,2618,GYN,2562,,0,738 73G G3,1790,CGH,2618,JOI,2576,,0,73G G3,1790,CGH,2618,JTC,8238,,0,73G G3,1790,CGH,2618,LDB,2581,,0,73G G3,1790,CGH,2618,MGF,2586,,0,738 73G G3,1790,CGH,2618,NVT,2595,,0,73G G3,1790,CGH,2618,POA,2599,,0,738 73G G3,1790,CGH,2618,PPB,2550,,0,73G G3,1790,CGH,2618,SDU,2612,,0,738 G3,1790,CGH,2618,SSA,2621,,0,738 73G G3,1790,CGH,2618,UDI,2633,,0,73G 738 G3,1790,CGH,2618,VIX,2638,,0,73G 738 G3,1790,CGR,2538,BSB,2531,,0,738 G3,1790,CGR,2538,CGB,2548,,0,73G G3,1790,CGR,2538,CGH,2618,,0,738 73G G3,1790,CGR,2538,GIG,2560,,0,738 G3,1790,CGR,2538,GRU,2564,,0,738 G3,1790,CGR,2538,MGF,2586,,0,738 G3,1790,CLV,4215,CGH,2618,,0,73G G3,1790,CNF,2537,BPS,4209,,0,738 G3,1790,CNF,2537,BSB,2531,,0,738 73G G3,1790,CNF,2537,CGH,2618,,0,738 73G G3,1790,CNF,2537,GIG,2560,,0,738 73G G3,1790,CNF,2537,GRU,2564,,0,738 73G G3,1790,CNF,2537,GYN,2562,,0,73G G3,1790,CNF,2537,IOS,2569,,0,73G G3,1790,CNF,2537,MOC,2587,,0,73G G3,1790,CNF,2537,REC,2610,,0,738 G3,1790,CNF,2537,SDU,2612,,0,738 73G G3,1790,CNF,2537,SSA,2621,,0,738 G3,1790,CNF,2537,UDI,2633,,0,738 73G G3,1790,CNF,2537,VCP,2578,,0,738 G3,1790,CNF,2537,VIX,2638,,0,73G 738 G3,1790,COR,2443,GRU,2564,,0,738 G3,1790,CPV,2577,SSA,2621,,0,738 73G G3,1790,CWB,2545,BSB,2531,,0,738 73G G3,1790,CWB,2545,CGH,2618,,0,738 73G G3,1790,CWB,2545,EZE,3988,,0,73G G3,1790,CWB,2545,GIG,2560,,0,73G 738 G3,1790,CWB,2545,GRU,2564,,0,738 G3,1790,CWB,2545,IGU,2554,,0,738 G3,1790,CWB,2545,LDB,2581,,0,738 73G G3,1790,CWB,2545,MGF,2586,,0,73G 738 G3,1790,CWB,2545,POA,2599,,0,73G 738 G3,1790,CWB,2545,VCP,2578,,0,73G G3,1790,CXJ,2547,CGH,2618,,0,73G 738 G3,1790,CZS,2549,RBR,2609,,0,73G G3,1790,DTW,3645,GRU,2564,,0,76W G3,1790,EZE,3988,CWB,2545,,0,73G G3,1790,EZE,3988,FLN,2555,,0,738 G3,1790,EZE,3988,FOR,2559,,0,738 G3,1790,EZE,3988,GIG,2560,,0,73G G3,1790,EZE,3988,GRU,2564,,0,738 G3,1790,EZE,3988,POA,2599,,0,738 G3,1790,FEN,2556,REC,2610,,0,73G G3,1790,FLN,2555,CGH,2618,,0,73G 738 G3,1790,FLN,2555,EZE,3988,,0,738 G3,1790,FLN,2555,GIG,2560,,0,738 G3,1790,FLN,2555,GRU,2564,,0,73G 738 G3,1790,FLN,2555,POA,2599,,0,73G 738 G3,1790,FLN,2555,XAP,2539,,0,73G G3,1790,FOR,2559,BEL,2526,,0,73G 738 G3,1790,FOR,2559,BSB,2531,,0,738 G3,1790,FOR,2559,EZE,3988,,0,738 G3,1790,FOR,2559,GIG,2560,,0,73G 738 G3,1790,FOR,2559,GRU,2564,,0,738 73G G3,1790,FOR,2559,NAT,2597,,0,738 73G G3,1790,FOR,2559,REC,2610,,0,738 73G G3,1790,FOR,2559,SLZ,2616,,0,738 G3,1790,FOR,2559,SSA,2621,,0,738 G3,1790,FOR,2559,THE,2623,,0,738 G3,1790,GIG,2560,AJU,2522,,0,738 73G G3,1790,GIG,2560,BEL,2526,,0,738 G3,1790,GIG,2560,BSB,2531,,0,738 73G G3,1790,GIG,2560,CGB,2548,,0,738 G3,1790,GIG,2560,CGH,2618,,0,738 73G G3,1790,GIG,2560,CGR,2538,,0,738 G3,1790,GIG,2560,CNF,2537,,0,738 73G G3,1790,GIG,2560,CWB,2545,,0,738 73G G3,1790,GIG,2560,EZE,3988,,0,73G G3,1790,GIG,2560,FLN,2555,,0,73G G3,1790,GIG,2560,FOR,2559,,0,738 73G G3,1790,GIG,2560,GRU,2564,,0,738 73G G3,1790,GIG,2560,GYN,2562,,0,73G G3,1790,GIG,2560,IGU,2554,,0,73G G3,1790,GIG,2560,JPA,2575,,0,738 G3,1790,GIG,2560,MAO,2551,,0,738 G3,1790,GIG,2560,MCZ,2590,,0,738 G3,1790,GIG,2560,NAT,2597,,0,738 73G G3,1790,GIG,2560,NVT,2595,,0,73G G3,1790,GIG,2560,POA,2599,,0,738 G3,1790,GIG,2560,REC,2610,,0,738 G3,1790,GIG,2560,SDQ,1762,,0,738 G3,1790,GIG,2560,SLZ,2616,,0,738 G3,1790,GIG,2560,SSA,2621,,0,738 73G G3,1790,GIG,2560,VCP,2578,,0,73G G3,1790,GIG,2560,VIX,2638,,0,738 73G G3,1790,GRU,2564,AEP,2442,,0,738 G3,1790,GRU,2564,AJU,2522,,0,738 73G G3,1790,GRU,2564,ASU,2699,,0,738 73G G3,1790,GRU,2564,BEL,2526,,0,73G 738 G3,1790,GRU,2564,BGI,2875,,0,738 G3,1790,GRU,2564,BPS,4209,,0,738 G3,1790,GRU,2564,BSB,2531,,0,738 73G G3,1790,GRU,2564,CCS,2851,,0,738 G3,1790,GRU,2564,CGB,2548,,0,738 73G G3,1790,GRU,2564,CGR,2538,,0,738 G3,1790,GRU,2564,CNF,2537,,0,738 73G G3,1790,GRU,2564,COR,2443,,0,738 G3,1790,GRU,2564,CWB,2545,,0,738 G3,1790,GRU,2564,DTW,3645,,0,76W G3,1790,GRU,2564,EZE,3988,,0,738 G3,1790,GRU,2564,FLN,2555,,0,738 73G G3,1790,GRU,2564,FOR,2559,,0,73G 738 G3,1790,GRU,2564,GIG,2560,,0,738 73G G3,1790,GRU,2564,GYN,2562,,0,738 73G G3,1790,GRU,2564,IGU,2554,,0,738 73G G3,1790,GRU,2564,JFK,3797,,0,764 G3,1790,GRU,2564,JPA,2575,,0,738 G3,1790,GRU,2564,LDB,2581,,0,738 73G G3,1790,GRU,2564,MAO,2551,,0,738 G3,1790,GRU,2564,MCZ,2590,,0,738 G3,1790,GRU,2564,MGF,2586,,0,73G G3,1790,GRU,2564,MVD,2816,,0,738 G3,1790,GRU,2564,NAT,2597,,0,738 G3,1790,GRU,2564,NVT,2595,,0,73G G3,1790,GRU,2564,POA,2599,,0,738 73G G3,1790,GRU,2564,REC,2610,,0,738 G3,1790,GRU,2564,ROS,2440,,0,738 73G G3,1790,GRU,2564,SDQ,1762,,0,738 G3,1790,GRU,2564,SDU,2612,,0,738 73G G3,1790,GRU,2564,SLZ,2616,,0,738 G3,1790,GRU,2564,SSA,2621,,0,738 G3,1790,GRU,2564,THE,2623,,0,738 G3,1790,GRU,2564,UDI,2633,,0,73G G3,1790,GRU,2564,VIX,2638,,0,738 73G G3,1790,GRU,2564,VVI,2771,,0,738 G3,1790,GYN,2562,BSB,2531,,0,73G 738 G3,1790,GYN,2562,CGH,2618,,0,738 73G G3,1790,GYN,2562,CNF,2537,,0,738 G3,1790,GYN,2562,GIG,2560,,0,73G G3,1790,GYN,2562,GRU,2564,,0,738 73G G3,1790,IGU,2554,CWB,2545,,0,738 G3,1790,IGU,2554,GIG,2560,,0,73G 738 G3,1790,IGU,2554,GRU,2564,,0,738 73G G3,1790,IMP,2572,BSB,2531,,0,73G G3,1790,IMP,2572,SLZ,2616,,0,73G G3,1790,IOS,2569,CNF,2537,,0,73G G3,1790,IOS,2569,SSA,2621,,0,73G G3,1790,JDO,6034,REC,2610,,0,73G G3,1790,JFK,3797,GRU,2564,,0,764 G3,1790,JOI,2576,CGH,2618,,0,73G G3,1790,JPA,2575,BSB,2531,,0,738 G3,1790,JPA,2575,GIG,2560,,0,738 G3,1790,JPA,2575,GRU,2564,,0,738 G3,1790,JTC,8238,CGH,2618,,0,73G G3,1790,LDB,2581,CGH,2618,,0,738 73G G3,1790,LDB,2581,CWB,2545,,0,73G 738 G3,1790,LDB,2581,GRU,2564,,0,738 73G G3,1790,MAB,2584,BEL,2526,,0,73G 738 G3,1790,MAB,2584,BSB,2531,,0,73G 738 G3,1790,MAO,2551,BEL,2526,,0,73G G3,1790,MAO,2551,BSB,2531,,0,738 73G G3,1790,MAO,2551,BVB,2533,,0,738 73G G3,1790,MAO,2551,GIG,2560,,0,738 G3,1790,MAO,2551,GRU,2564,,0,738 G3,1790,MAO,2551,PVH,2607,,0,73G 738 G3,1790,MAO,2551,STM,4092,,0,738 G3,1790,MCO,3878,SDQ,1762,,0,738 G3,1790,MCP,2591,BEL,2526,,0,738 73G G3,1790,MCZ,2590,BSB,2531,,0,738 G3,1790,MCZ,2590,GIG,2560,,0,738 G3,1790,MCZ,2590,GRU,2564,,0,738 G3,1790,MCZ,2590,SSA,2621,,0,738 G3,1790,MGF,2586,CGH,2618,,0,738 73G G3,1790,MGF,2586,CGR,2538,,0,73G G3,1790,MGF,2586,CWB,2545,,0,73G 738 G3,1790,MGF,2586,GRU,2564,,0,738 G3,1790,MIA,3576,SDQ,1762,,0,738 G3,1790,MOC,2587,CNF,2537,,0,73G G3,1790,MVD,2816,GRU,2564,,0,738 G3,1790,MVD,2816,POA,2599,,0,738 G3,1790,NAT,2597,BSB,2531,,0,738 73G G3,1790,NAT,2597,FOR,2559,,0,738 G3,1790,NAT,2597,GIG,2560,,0,738 73G G3,1790,NAT,2597,GRU,2564,,0,738 73G G3,1790,NAT,2597,SSA,2621,,0,738 G3,1790,NVT,2595,CGH,2618,,0,73G G3,1790,NVT,2595,GIG,2560,,0,73G G3,1790,NVT,2595,GRU,2564,,0,73G G3,1790,PMW,4214,BSB,2531,,0,73G 738 G3,1790,PNZ,2604,REC,2610,,0,738 G3,1790,POA,2599,BSB,2531,,0,738 G3,1790,POA,2599,CGH,2618,,0,738 73G G3,1790,POA,2599,CWB,2545,,0,73G 738 G3,1790,POA,2599,EZE,3988,,0,738 G3,1790,POA,2599,FLN,2555,,0,73G 738 G3,1790,POA,2599,GIG,2560,,0,738 G3,1790,POA,2599,GRU,2564,,0,738 73G G3,1790,POA,2599,MVD,2816,,0,738 G3,1790,PPB,2550,CGH,2618,,0,73G G3,1790,PUJ,1760,CCS,2851,,0,738 G3,1790,PVH,2607,BSB,2531,,0,738 G3,1790,PVH,2607,CGB,2548,,0,738 G3,1790,PVH,2607,MAO,2551,,0,73G G3,1790,PVH,2607,RBR,2609,,0,73G G3,1790,RBR,2609,BSB,2531,,0,73G G3,1790,RBR,2609,CZS,2549,,0,73G G3,1790,RBR,2609,PVH,2607,,0,73G G3,1790,REC,2610,BSB,2531,,0,738 G3,1790,REC,2610,CNF,2537,,0,738 G3,1790,REC,2610,FEN,2556,,0,73G G3,1790,REC,2610,FOR,2559,,0,738 73G G3,1790,REC,2610,GIG,2560,,0,738 G3,1790,REC,2610,GRU,2564,,0,73G 738 G3,1790,REC,2610,JDO,6034,,0,73G G3,1790,REC,2610,PNZ,2604,,0,738 G3,1790,REC,2610,SSA,2621,,0,738 73G G3,1790,ROS,2440,GRU,2564,,0,738 73G G3,1790,SDQ,1762,GIG,2560,,0,738 G3,1790,SDQ,1762,GRU,2564,,0,738 G3,1790,SDQ,1762,MCO,3878,,0,738 G3,1790,SDQ,1762,MIA,3576,,0,738 G3,1790,SDU,2612,BSB,2531,,0,738 73G G3,1790,SDU,2612,CGH,2618,,0,738 G3,1790,SDU,2612,CNF,2537,,0,73G 738 G3,1790,SDU,2612,GRU,2564,,0,738 73G G3,1790,SDU,2612,VIX,2638,,0,73G 738 G3,1790,SLZ,2616,BEL,2526,,0,738 G3,1790,SLZ,2616,BSB,2531,,0,738 G3,1790,SLZ,2616,FOR,2559,,0,738 G3,1790,SLZ,2616,GIG,2560,,0,738 G3,1790,SLZ,2616,GRU,2564,,0,738 G3,1790,SLZ,2616,IMP,2572,,0,73G G3,1790,SSA,2621,AJU,2522,,0,738 G3,1790,SSA,2621,BPS,4209,,0,738 G3,1790,SSA,2621,BSB,2531,,0,738 G3,1790,SSA,2621,CGH,2618,,0,738 73G G3,1790,SSA,2621,CNF,2537,,0,738 G3,1790,SSA,2621,CPV,2577,,0,738 73G G3,1790,SSA,2621,FOR,2559,,0,738 G3,1790,SSA,2621,GIG,2560,,0,73G 738 G3,1790,SSA,2621,GRU,2564,,0,738 G3,1790,SSA,2621,IOS,2569,,0,73G G3,1790,SSA,2621,MCZ,2590,,0,738 G3,1790,SSA,2621,NAT,2597,,0,738 G3,1790,SSA,2621,REC,2610,,0,73G 738 G3,1790,SSA,2621,VIX,2638,,0,73G G3,1790,STM,4092,BEL,2526,,0,73G 738 G3,1790,STM,4092,MAO,2551,,0,738 G3,1790,THE,2623,BSB,2531,,0,73G 738 G3,1790,THE,2623,FOR,2559,,0,738 G3,1790,THE,2623,GRU,2564,,0,738 G3,1790,UDI,2633,CGH,2618,,0,73G 738 G3,1790,UDI,2633,CNF,2537,,0,738 73G G3,1790,UDI,2633,GRU,2564,,0,73G G3,1790,VCP,2578,BSB,2531,,0,738 73G G3,1790,VCP,2578,CNF,2537,,0,738 G3,1790,VCP,2578,CWB,2545,,0,73G G3,1790,VCP,2578,GIG,2560,,0,738 73G G3,1790,VIX,2638,CGH,2618,,0,738 G3,1790,VIX,2638,CNF,2537,,0,738 G3,1790,VIX,2638,GIG,2560,,0,738 73G G3,1790,VIX,2638,GRU,2564,,0,738 73G G3,1790,VIX,2638,SDU,2612,,0,738 73G G3,1790,VIX,2638,SSA,2621,,0,73G G3,1790,VVI,2771,GRU,2564,,0,738 G3,1790,XAP,2539,FLN,2555,,0,73G G4,35,ABE,4355,MYR,3515,,0,M80 G4,35,ABE,4355,PGD,7056,,0,M80 G4,35,ABE,4355,PIE,3617,,0,M80 320 G4,35,ABE,4355,SFB,4167,,0,320 M80 G4,35,ATW,4047,AZA,6505,,0,M80 G4,35,ATW,4047,LAS,3877,,0,M80 G4,35,ATW,4047,SFB,4167,,0,320 G4,35,AUS,3673,LAS,3877,,0,M80 757 G4,35,AVL,4007,FLL,3533,,0,M80 G4,35,AVL,4007,PGD,7056,,0,M80 G4,35,AVL,4007,PIE,3617,,0,320 G4,35,AVL,4007,SFB,4167,,0,M80 G4,35,AVP,4286,SFB,4167,,0,M80 G4,35,AZA,6505,ATW,4047,,0,M80 G4,35,AZA,6505,BIL,4021,,0,319 G4,35,AZA,6505,BIS,4083,,0,M80 G4,35,AZA,6505,BLI,3777,,0,M80 G4,35,AZA,6505,BZN,4020,,0,M80 G4,35,AZA,6505,CID,4043,,0,M80 319 G4,35,AZA,6505,DLH,3598,,0,M80 G4,35,AZA,6505,EUG,4099,,0,M80 G4,35,AZA,6505,FAR,4292,,0,M80 319 G4,35,AZA,6505,FSD,4009,,0,M80 319 G4,35,AZA,6505,FWA,4041,,0,319 G4,35,AZA,6505,GFK,3442,,0,M80 G4,35,AZA,6505,GRI,5740,,0,M80 G4,35,AZA,6505,GRR,3685,,0,319 G4,35,AZA,6505,GTF,3880,,0,M80 G4,35,AZA,6505,ICT,3457,,0,M80 G4,35,AZA,6505,IDA,4100,,0,M80 G4,35,AZA,6505,LAS,3877,,0,M80 G4,35,AZA,6505,MLI,4072,,0,319 G4,35,AZA,6505,MOT,3498,,0,M80 G4,35,AZA,6505,MSO,4216,,0,M80 G4,35,AZA,6505,OAK,3453,,0,M80 G4,35,AZA,6505,OGD,9543,,0,319 G4,35,AZA,6505,PIA,4046,,0,M80 G4,35,AZA,6505,PSC,6133,,0,M80 G4,35,AZA,6505,PVU,7579,,0,319 G4,35,AZA,6505,RAP,4087,,0,M80 G4,35,AZA,6505,RFD,4028,,0,319 G4,35,AZA,6505,RST,4048,,0,319 G4,35,AZA,6505,SBN,4359,,0,M80 G4,35,AZA,6505,SGF,4348,,0,M80 G4,35,AZA,6505,STC,4271,,0,319 G4,35,BGR,3463,PIE,3617,,0,320 G4,35,BGR,3463,SFB,4167,,0,320 G4,35,BIL,4021,AZA,6505,,0,319 G4,35,BIL,4021,LAS,3877,,0,M80 G4,35,BIS,4083,AZA,6505,,0,M80 G4,35,BIS,4083,LAS,3877,,0,M80 G4,35,BIS,4083,SFB,4167,,0,320 G4,35,BLI,3777,AZA,6505,,0,M80 G4,35,BLI,3777,LAS,3877,,0,M80 757 G4,35,BLI,3777,LAX,3484,,0,M80 G4,35,BLI,3777,OAK,3453,,0,M80 G4,35,BLI,3777,PSP,3839,,0,M80 G4,35,BLI,3777,SAN,3731,,0,M80 G4,35,BLV,3790,SFB,4167,,0,M80 G4,35,BMI,4037,SFB,4167,,0,320 G4,35,BOI,3495,LAS,3877,,0,M80 G4,35,BTV,3711,SFB,4167,,0,M80 G4,35,BZN,4020,AZA,6505,,0,M80 G4,35,BZN,4020,LAS,3877,,0,M80 G4,35,CHA,3578,PIE,3617,,0,320 G4,35,CHA,3578,SFB,4167,,0,M80 G4,35,CID,4043,AZA,6505,,0,M80 319 G4,35,CID,4043,LAS,3877,,0,M80 G4,35,CID,4043,PGD,7056,,0,M80 G4,35,CID,4043,PIE,3617,,0,320 G4,35,CID,4043,SFB,4167,,0,M80 G4,35,CKB,5730,SFB,4167,,0,320 G4,35,COS,3819,LAS,3877,,0,M80 G4,35,CPR,3872,LAS,3877,,0,M80 G4,35,CVG,3488,PGD,7056,,0,M80 G4,35,CVG,3488,SFB,4167,,0,320 G4,35,DLH,3598,AZA,6505,,0,M80 G4,35,DLH,3598,LAS,3877,,0,M80 G4,35,DSM,3729,LAS,3877,,0,M80 G4,35,DSM,3729,PGD,7056,,0,M80 G4,35,DSM,3729,PIE,3617,,0,M80 G4,35,DSM,3729,SFB,4167,,0,M80 G4,35,ELM,3946,PIE,3617,,0,M80 G4,35,ELM,3946,SFB,4167,,0,320 M80 G4,35,EUG,4099,AZA,6505,,0,M80 G4,35,EUG,4099,LAS,3877,,0,M80 G4,35,EUG,4099,LAX,3484,,0,M80 G4,35,EUG,4099,OAK,3453,,0,M80 G4,35,FAR,4292,AZA,6505,,0,M80 319 G4,35,FAR,4292,LAS,3877,,0,M80 G4,35,FAR,4292,PIE,3617,,0,M80 G4,35,FAR,4292,SFB,4167,,0,320 G4,35,FAT,3687,LAS,3877,,0,M80 G4,35,FCA,4127,LAS,3877,,0,M80 G4,35,FLL,3533,AVL,4007,,0,M80 G4,35,FLL,3533,GSP,4034,,0,M80 G4,35,FLL,3533,LEX,4017,,0,M80 G4,35,FLL,3533,PBG,3771,,0,M80 G4,35,FLL,3533,TYS,3676,,0,M80 G4,35,FSD,4009,AZA,6505,,0,M80 319 G4,35,FSD,4009,LAS,3877,,0,M80 G4,35,FSD,4009,PIE,3617,,0,320 G4,35,FSD,4009,SFB,4167,,0,320 G4,35,FWA,4041,AZA,6505,,0,319 G4,35,FWA,4041,MYR,3515,,0,M80 G4,35,FWA,4041,PGD,7056,,0,M80 G4,35,FWA,4041,PIE,3617,,0,M80 320 G4,35,FWA,4041,SFB,4167,,0,M80 G4,35,GFK,3442,AZA,6505,,0,M80 G4,35,GFK,3442,LAS,3877,,0,M80 G4,35,GFK,3442,SFB,4167,,0,320 G4,35,GJT,4063,LAS,3877,,0,M80 G4,35,GRI,5740,AZA,6505,,0,M80 G4,35,GRI,5740,LAS,3877,,0,M80 G4,35,GRR,3685,AZA,6505,,0,319 G4,35,GRR,3685,LAS,3877,,0,M80 G4,35,GRR,3685,PIE,3617,,0,320 G4,35,GRR,3685,SFB,4167,,0,M80 G4,35,GSO,4008,PIE,3617,,0,320 G4,35,GSO,4008,SFB,4167,,0,M80 G4,35,GSP,4034,FLL,3533,,0,M80 G4,35,GSP,4034,PGD,7056,,0,M80 G4,35,GSP,4034,PIE,3617,,0,M80 320 G4,35,GSP,4034,SFB,4167,,0,320 G4,35,GTF,3880,AZA,6505,,0,M80 G4,35,GTF,3880,LAS,3877,,0,M80 G4,35,HGR,6739,SFB,4167,,0,M80 G4,35,HNL,3728,LAS,3877,,0,757 G4,35,HNL,3728,LAX,3484,,0,757 G4,35,HTS,5742,MYR,3515,,0,M80 G4,35,HTS,5742,PIE,3617,,0,320 G4,35,HTS,5742,SFB,4167,,0,M80 G4,35,IAG,3630,PGD,7056,,0,M80 G4,35,IAG,3630,PIE,3617,,0,M80 G4,35,IAG,3630,SFB,4167,,0,320 G4,35,ICT,3457,AZA,6505,,0,M80 G4,35,ICT,3457,LAS,3877,,0,M80 G4,35,IDA,4100,AZA,6505,,0,M80 G4,35,IDA,4100,LAS,3877,,0,M80 G4,35,ISP,3857,PGD,7056,,0,M80 G4,35,LAN,3544,SFB,4167,,0,M80 G4,35,LAS,3877,ATW,4047,,0,M80 G4,35,LAS,3877,AUS,3673,,0,M80 757 G4,35,LAS,3877,AZA,6505,,0,M80 G4,35,LAS,3877,BIL,4021,,0,M80 G4,35,LAS,3877,BIS,4083,,0,M80 G4,35,LAS,3877,BLI,3777,,0,757 M80 G4,35,LAS,3877,BOI,3495,,0,M80 G4,35,LAS,3877,BZN,4020,,0,M80 G4,35,LAS,3877,CID,4043,,0,M80 G4,35,LAS,3877,COS,3819,,0,M80 G4,35,LAS,3877,CPR,3872,,0,M80 G4,35,LAS,3877,DLH,3598,,0,M80 G4,35,LAS,3877,DSM,3729,,0,M80 G4,35,LAS,3877,EUG,4099,,0,M80 G4,35,LAS,3877,FAR,4292,,0,M80 G4,35,LAS,3877,FAT,3687,,0,M80 G4,35,LAS,3877,FCA,4127,,0,M80 G4,35,LAS,3877,FSD,4009,,0,M80 G4,35,LAS,3877,GFK,3442,,0,M80 G4,35,LAS,3877,GJT,4063,,0,M80 G4,35,LAS,3877,GRI,5740,,0,M80 G4,35,LAS,3877,GRR,3685,,0,M80 G4,35,LAS,3877,GTF,3880,,0,M80 G4,35,LAS,3877,HNL,3728,,0,757 G4,35,LAS,3877,ICT,3457,,0,M80 G4,35,LAS,3877,IDA,4100,,0,M80 G4,35,LAS,3877,LRD,3691,,0,M80 G4,35,LAS,3877,MFE,3826,,0,757 M80 G4,35,LAS,3877,MFR,4101,,0,M80 G4,35,LAS,3877,MLI,4072,,0,M80 G4,35,LAS,3877,MOT,3498,,0,M80 G4,35,LAS,3877,MRY,3948,,0,M80 G4,35,LAS,3877,MSO,4216,,0,M80 G4,35,LAS,3877,PIA,4046,,0,M80 G4,35,LAS,3877,PSC,6133,,0,M80 G4,35,LAS,3877,RAP,4087,,0,M80 G4,35,LAS,3877,RFD,4028,,0,M80 G4,35,LAS,3877,RNO,3807,,0,M80 G4,35,LAS,3877,SBN,4359,,0,M80 G4,35,LAS,3877,SCK,3805,,0,M80 G4,35,LAS,3877,SGF,4348,,0,M80 G4,35,LAS,3877,SHV,3609,,0,M80 G4,35,LAS,3877,SMX,5772,,0,M80 G4,35,LAS,3877,XNA,4356,,0,M80 G4,35,LAX,3484,BLI,3777,,0,M80 G4,35,LAX,3484,EUG,4099,,0,M80 G4,35,LAX,3484,HNL,3728,,0,757 G4,35,LAX,3484,MFR,4101,,0,M80 G4,35,LAX,3484,PVU,7579,,0,319 G4,35,LCK,3674,PIE,3617,,0,320 G4,35,LCK,3674,SFB,4167,,0,M80 G4,35,LEX,4017,FLL,3533,,0,M80 G4,35,LEX,4017,PGD,7056,,0,M80 G4,35,LEX,4017,PIE,3617,,0,320 G4,35,LEX,4017,SFB,4167,,0,M80 320 G4,35,LIT,3660,SFB,4167,,0,M80 G4,35,LRD,3691,LAS,3877,,0,M80 G4,35,MDT,3542,PIE,3617,,0,M80 G4,35,MDT,3542,SFB,4167,,0,M80 G4,35,MFE,3826,LAS,3877,,0,757 M80 G4,35,MFR,4101,LAS,3877,,0,M80 G4,35,MFR,4101,LAX,3484,,0,M80 G4,35,MLI,4072,AZA,6505,,0,319 G4,35,MLI,4072,LAS,3877,,0,M80 G4,35,MLI,4072,PIE,3617,,0,M80 G4,35,MLI,4072,SFB,4167,,0,320 G4,35,MOT,3498,AZA,6505,,0,M80 G4,35,MOT,3498,LAS,3877,,0,M80 G4,35,MRY,3948,LAS,3877,,0,M80 G4,35,MSO,4216,AZA,6505,,0,M80 G4,35,MSO,4216,LAS,3877,,0,M80 G4,35,MYR,3515,ABE,4355,,0,M80 G4,35,MYR,3515,FWA,4041,,0,M80 G4,35,MYR,3515,HTS,5742,,0,M80 G4,35,MYR,3515,YNG,3881,,0,M80 G4,35,OAK,3453,AZA,6505,,0,M80 G4,35,OAK,3453,BLI,3777,,0,M80 G4,35,OAK,3453,EUG,4099,,0,M80 G4,35,OAK,3453,PVU,7579,,0,319 G4,35,OGD,9543,AZA,6505,,0,319 G4,35,OKC,3863,SFB,4167,,0,320 G4,35,OWB,5758,SFB,4167,,0,M80 G4,35,PBG,3771,FLL,3533,,0,M80 G4,35,PBG,3771,PIE,3617,,0,320 G4,35,PBG,3771,SFB,4167,,0,M80 G4,35,PGD,7056,ABE,4355,,0,M80 G4,35,PGD,7056,AVL,4007,,0,M80 G4,35,PGD,7056,CID,4043,,0,M80 G4,35,PGD,7056,CVG,3488,,0,M80 G4,35,PGD,7056,DSM,3729,,0,M80 G4,35,PGD,7056,FWA,4041,,0,M80 G4,35,PGD,7056,GSP,4034,,0,M80 G4,35,PGD,7056,IAG,3630,,0,M80 G4,35,PGD,7056,ISP,3857,,0,M80 G4,35,PGD,7056,LEX,4017,,0,M80 G4,35,PGD,7056,PIA,4046,,0,M80 G4,35,PGD,7056,RFD,4028,,0,M80 G4,35,PGD,7056,SBN,4359,,0,M80 G4,35,PGD,7056,SGF,4348,,0,M80 G4,35,PGD,7056,SPI,4336,,0,M80 G4,35,PGD,7056,TOL,4040,,0,M80 G4,35,PGD,7056,TYS,3676,,0,M80 G4,35,PGD,7056,YNG,3881,,0,M80 G4,35,PHF,3633,SFB,4167,,0,320 G4,35,PIA,4046,AZA,6505,,0,M80 G4,35,PIA,4046,LAS,3877,,0,M80 G4,35,PIA,4046,PGD,7056,,0,M80 G4,35,PIA,4046,PIE,3617,,0,M80 320 G4,35,PIE,3617,ABE,4355,,0,M80 320 G4,35,PIE,3617,AVL,4007,,0,320 G4,35,PIE,3617,BGR,3463,,0,320 G4,35,PIE,3617,CHA,3578,,0,320 G4,35,PIE,3617,CID,4043,,0,320 G4,35,PIE,3617,DSM,3729,,0,M80 G4,35,PIE,3617,ELM,3946,,0,M80 G4,35,PIE,3617,FAR,4292,,0,M80 G4,35,PIE,3617,FSD,4009,,0,320 G4,35,PIE,3617,FWA,4041,,0,M80 320 G4,35,PIE,3617,GRR,3685,,0,320 G4,35,PIE,3617,GSO,4008,,0,320 G4,35,PIE,3617,GSP,4034,,0,M80 320 G4,35,PIE,3617,HTS,5742,,0,320 G4,35,PIE,3617,IAG,3630,,0,M80 G4,35,PIE,3617,LCK,3674,,0,320 G4,35,PIE,3617,LEX,4017,,0,320 G4,35,PIE,3617,MDT,3542,,0,M80 G4,35,PIE,3617,MLI,4072,,0,M80 G4,35,PIE,3617,PBG,3771,,0,320 G4,35,PIE,3617,PIA,4046,,0,M80 320 G4,35,PIE,3617,RFD,4028,,0,320 G4,35,PIE,3617,ROA,4016,,0,M80 G4,35,PIE,3617,SBN,4359,,0,M80 G4,35,PIE,3617,SGF,4348,,0,320 G4,35,PIE,3617,SWF,3661,,0,M80 G4,35,PIE,3617,SYR,3745,,0,320 G4,35,PIE,3617,TOL,4040,,0,320 G4,35,PIE,3617,TRI,4116,,0,M80 G4,35,PIE,3617,TYS,3676,,0,M80 320 G4,35,PIE,3617,YNG,3881,,0,M80 G4,35,PSC,6133,AZA,6505,,0,M80 G4,35,PSC,6133,LAS,3877,,0,M80 G4,35,PSM,5763,SFB,4167,,0,M80 G4,35,PSP,3839,BLI,3777,,0,M80 G4,35,PVU,7579,AZA,6505,,0,319 G4,35,PVU,7579,LAX,3484,,0,319 G4,35,PVU,7579,OAK,3453,,0,319 G4,35,RAP,4087,AZA,6505,,0,M80 G4,35,RAP,4087,LAS,3877,,0,M80 G4,35,RFD,4028,AZA,6505,,0,319 G4,35,RFD,4028,LAS,3877,,0,M80 G4,35,RFD,4028,PGD,7056,,0,M80 G4,35,RFD,4028,PIE,3617,,0,320 G4,35,RFD,4028,SFB,4167,,0,320 G4,35,RNO,3807,LAS,3877,,0,M80 G4,35,ROA,4016,PIE,3617,,0,M80 G4,35,ROA,4016,SFB,4167,,0,320 G4,35,RST,4048,AZA,6505,,0,319 G4,35,SAN,3731,BLI,3777,,0,M80 G4,35,SBN,4359,AZA,6505,,0,M80 G4,35,SBN,4359,LAS,3877,,0,M80 G4,35,SBN,4359,PGD,7056,,0,M80 G4,35,SBN,4359,PIE,3617,,0,M80 G4,35,SBN,4359,SFB,4167,,0,320 G4,35,SCK,3805,LAS,3877,,0,M80 G4,35,SFB,4167,ABE,4355,,0,320 M80 G4,35,SFB,4167,ATW,4047,,0,320 G4,35,SFB,4167,AVL,4007,,0,M80 G4,35,SFB,4167,AVP,4286,,0,M80 G4,35,SFB,4167,BGR,3463,,0,320 G4,35,SFB,4167,BIS,4083,,0,320 G4,35,SFB,4167,BLV,3790,,0,M80 G4,35,SFB,4167,BMI,4037,,0,320 G4,35,SFB,4167,BTV,3711,,0,M80 G4,35,SFB,4167,CHA,3578,,0,M80 G4,35,SFB,4167,CID,4043,,0,M80 G4,35,SFB,4167,CKB,5730,,0,320 G4,35,SFB,4167,CVG,3488,,0,320 G4,35,SFB,4167,DSM,3729,,0,M80 G4,35,SFB,4167,ELM,3946,,0,320 M80 G4,35,SFB,4167,FAR,4292,,0,320 G4,35,SFB,4167,FSD,4009,,0,320 G4,35,SFB,4167,FWA,4041,,0,M80 G4,35,SFB,4167,GFK,3442,,0,320 G4,35,SFB,4167,GRR,3685,,0,M80 G4,35,SFB,4167,GSO,4008,,0,M80 G4,35,SFB,4167,GSP,4034,,0,320 G4,35,SFB,4167,HGR,6739,,0,M80 G4,35,SFB,4167,HTS,5742,,0,M80 G4,35,SFB,4167,IAG,3630,,0,320 G4,35,SFB,4167,LAN,3544,,0,M80 G4,35,SFB,4167,LCK,3674,,0,M80 G4,35,SFB,4167,LEX,4017,,0,M80 320 G4,35,SFB,4167,LIT,3660,,0,M80 G4,35,SFB,4167,MDT,3542,,0,M80 G4,35,SFB,4167,MLI,4072,,0,320 G4,35,SFB,4167,OKC,3863,,0,320 G4,35,SFB,4167,OWB,5758,,0,M80 G4,35,SFB,4167,PBG,3771,,0,M80 G4,35,SFB,4167,PHF,3633,,0,320 G4,35,SFB,4167,PSM,5763,,0,M80 G4,35,SFB,4167,RFD,4028,,0,320 G4,35,SFB,4167,ROA,4016,,0,320 G4,35,SFB,4167,SBN,4359,,0,320 G4,35,SFB,4167,SGF,4348,,0,M80 G4,35,SFB,4167,SPI,4336,,0,M80 G4,35,SFB,4167,TOL,4040,,0,M80 G4,35,SFB,4167,TRI,4116,,0,M80 G4,35,SFB,4167,TUL,3855,,0,320 G4,35,SFB,4167,TYS,3676,,0,M80 320 G4,35,SFB,4167,XNA,4356,,0,320 G4,35,SFB,4167,YNG,3881,,0,M80 G4,35,SGF,4348,AZA,6505,,0,M80 G4,35,SGF,4348,LAS,3877,,0,M80 G4,35,SGF,4348,PGD,7056,,0,M80 G4,35,SGF,4348,PIE,3617,,0,320 G4,35,SGF,4348,SFB,4167,,0,M80 G4,35,SHV,3609,LAS,3877,,0,M80 G4,35,SMX,5772,LAS,3877,,0,M80 G4,35,STC,4271,AZA,6505,,0,319 G4,35,SWF,3661,PIE,3617,,0,M80 G4,35,SYR,3745,PIE,3617,,0,320 G4,35,TOL,4040,PGD,7056,,0,M80 G4,35,TOL,4040,PIE,3617,,0,320 G4,35,TOL,4040,SFB,4167,,0,M80 G4,35,TRI,4116,PIE,3617,,0,M80 G4,35,TRI,4116,SFB,4167,,0,M80 G4,35,TUL,3855,SFB,4167,,0,320 G4,35,TYS,3676,FLL,3533,,0,M80 G4,35,TYS,3676,PGD,7056,,0,M80 G4,35,TYS,3676,PIE,3617,,0,M80 320 G4,35,TYS,3676,SFB,4167,,0,M80 320 G4,35,XNA,4356,LAS,3877,,0,M80 G4,35,XNA,4356,SFB,4167,,0,320 G4,35,YNG,3881,MYR,3515,,0,M80 G4,35,YNG,3881,PGD,7056,,0,M80 G4,35,YNG,3881,PIE,3617,,0,M80 G4,35,YNG,3881,SFB,4167,,0,M80 G5,15837,ACX,7506,CKG,3393,,0,CR9 G5,15837,ACX,7506,KWE,3394,,0,CR9 CR2 G5,15837,AEB,8082,CKG,3393,,0,CR9 G5,15837,AEB,8082,KWL,3372,,0,CR9 G5,15837,AQG,6427,CKG,3393,,0,CR9 G5,15837,AQG,6427,XMN,3383,,0,CR9 G5,15837,AVA,9849,CKG,3393,,0,CR9 G5,15837,BAV,6346,CIF,6342,,0,CR9 G5,15837,BFJ,9025,CKG,3393,,0,CR9 G5,15837,BFJ,9025,KWE,3394,,0,CR2 CR9 G5,15837,BHY,6351,KWL,3372,,0,CR9 G5,15837,CIF,6342,BAV,6346,,0,CR9 G5,15837,CIF,6342,DLC,3404,,0,CR9 G5,15837,CKG,3393,ACX,7506,,0,CR9 G5,15837,CKG,3393,AEB,8082,,0,CR9 G5,15837,CKG,3393,AQG,6427,,0,CR9 G5,15837,CKG,3393,AVA,9849,,0,CR9 G5,15837,CKG,3393,BFJ,9025,,0,CR9 G5,15837,CKG,3393,DOY,4145,,0,CR9 G5,15837,CKG,3393,DSN,6434,,0,CR9 G5,15837,CKG,3393,HDG,8407,,0,CR9 G5,15837,CKG,3393,HIA,7898,,0,CR9 G5,15837,CKG,3393,INC,4085,,0,CR2 G5,15837,CKG,3393,JIQ,8781,,0,CR2 G5,15837,CKG,3393,KWE,3394,,0,CR2 CR9 G5,15837,CKG,3393,LZH,6356,,0,CR9 G5,15837,CKG,3393,NNG,3373,,0,CR9 G5,15837,CKG,3393,XFN,6360,,0,CR9 G5,15837,CKG,3393,XIC,3396,,0,CR9 G5,15837,CKG,3393,XNN,6366,,0,CR9 G5,15837,DLC,3404,CIF,6342,,0,CR9 G5,15837,DLC,3404,DOY,4145,,0,CR9 G5,15837,DLC,3404,FUG,7503,,0,CR9 G5,15837,DLC,3404,HDG,8407,,0,CR9 G5,15837,DLC,3404,HIA,7898,,0,CR9 G5,15837,DLC,3404,JNG,6944,,0,CR9 G5,15837,DLC,3404,LYG,6383,,0,CR9 G5,15837,DLC,3404,SHP,6429,,0,CR9 G5,15837,DLC,3404,TVS,8858,,0,CR9 G5,15837,DOY,4145,CKG,3393,,0,CR9 G5,15837,DOY,4145,DLC,3404,,0,CR9 G5,15837,DSN,6434,CKG,3393,,0,CR9 G5,15837,FOC,3385,LYG,6383,,0,CR9 G5,15837,FUG,7503,DLC,3404,,0,CR9 G5,15837,FUG,7503,HGH,3386,,0,CR9 G5,15837,HDG,8407,CKG,3393,,0,CR9 G5,15837,HDG,8407,DLC,3404,,0,CR9 G5,15837,HGH,3386,FUG,7503,,0,CR9 G5,15837,HGH,3386,XFN,6360,,0,CR9 G5,15837,HIA,7898,CKG,3393,,0,CR9 G5,15837,HIA,7898,DLC,3404,,0,CR9 G5,15837,HZH,7508,KWE,3394,,0,CR2 G5,15837,INC,4085,CKG,3393,,0,CR2 G5,15837,INC,4085,JGN,6432,,0,CR2 G5,15837,JGN,6432,INC,4085,,0,CR2 G5,15837,JIQ,8781,CKG,3393,,0,CR2 G5,15837,JNG,6944,DLC,3404,,0,CR9 G5,15837,JNG,6944,XIY,3379,,0,CR9 G5,15837,KMG,3382,KWE,3394,,0,CR2 G5,15837,KWE,3394,ACX,7506,,0,CR9 CR2 G5,15837,KWE,3394,BFJ,9025,,0,CR2 CR9 G5,15837,KWE,3394,CKG,3393,,0,CR9 CR2 G5,15837,KWE,3394,HZH,7508,,0,CR2 G5,15837,KWE,3394,KMG,3382,,0,CR2 G5,15837,KWE,3394,KWL,3372,,0,CR9 G5,15837,KWE,3394,LZO,6399,,0,CR9 G5,15837,KWE,3394,WUZ,6744,,0,CR2 G5,15837,KWL,3372,AEB,8082,,0,CR9 G5,15837,KWL,3372,BHY,6351,,0,CR9 G5,15837,KWL,3372,KWE,3394,,0,CR9 G5,15837,LYG,6383,DLC,3404,,0,CR9 G5,15837,LYG,6383,FOC,3385,,0,CR9 G5,15837,LZH,6356,CKG,3393,,0,CR9 G5,15837,LZH,6356,ZUH,6355,,0,CR9 G5,15837,LZO,6399,KWE,3394,,0,CR9 G5,15837,NNG,3373,CKG,3393,,0,CR9 G5,15837,NNG,3373,WUZ,6744,,0,CR9 G5,15837,SHP,6429,DLC,3404,,0,CR9 G5,15837,SHP,6429,SJW,6347,,0,CR9 G5,15837,SJW,6347,SHP,6429,,0,CR9 G5,15837,SJW,6347,TVS,8858,,0,CR9 G5,15837,TVS,8858,DLC,3404,,0,CR9 G5,15837,TVS,8858,SJW,6347,,0,CR9 G5,15837,WUZ,6744,KWE,3394,,0,CR2 G5,15837,WUZ,6744,NNG,3373,,0,CR9 G5,15837,WUZ,6744,ZUH,6355,,0,CR2 G5,15837,XFN,6360,CKG,3393,,0,CR9 G5,15837,XFN,6360,HGH,3386,,0,CR9 G5,15837,XIC,3396,CKG,3393,,0,CR9 G5,15837,XIY,3379,JNG,6944,,0,CR9 G5,15837,XMN,3383,AQG,6427,,0,CR9 G5,15837,XNN,6366,CKG,3393,,0,CR9 G5,15837,ZUH,6355,LZH,6356,,0,CR9 G5,15837,ZUH,6355,WUZ,6744,,0,CR2 G8,2575,AMD,2994,BOM,2997,,0,320 G8,2575,AMD,2994,CCU,3043,,0,320 G8,2575,AMD,2994,DEL,3093,,0,320 G8,2575,BLR,3131,BOM,2997,,0,320 G8,2575,BLR,3131,DEL,3093,,0,320 G8,2575,BLR,3131,GOI,3007,,0,320 G8,2575,BLR,3131,PNQ,3017,,0,320 G8,2575,BOM,2997,AMD,2994,,0,320 G8,2575,BOM,2997,BLR,3131,,0,320 G8,2575,BOM,2997,COK,3136,,0,320 G8,2575,BOM,2997,DEL,3093,,0,320 G8,2575,BOM,2997,GOI,3007,,0,320 G8,2575,BOM,2997,IXC,3089,,0,320 G8,2575,BOM,2997,JAI,3098,,0,320 G8,2575,BOM,2997,LKO,3105,,0,320 G8,2575,BOM,2997,MAA,3144,,0,320 G8,2575,BOM,2997,NAG,3015,,0,320 G8,2575,BOM,2997,PAT,3061,,0,320 G8,2575,BOM,2997,SXR,3112,,0,320 G8,2575,CCU,3043,AMD,2994,,0,320 G8,2575,CCU,3043,DEL,3093,,0,320 G8,2575,CCU,3043,GAU,6173,,0,320 G8,2575,CCU,3043,IXB,3040,,0,320 G8,2575,CCU,3043,IXZ,3146,,0,320 G8,2575,CCU,3043,NAG,3015,,0,320 G8,2575,CCU,3043,PAT,3061,,0,320 G8,2575,COK,3136,BOM,2997,,0,320 G8,2575,DEL,3093,AMD,2994,,0,320 G8,2575,DEL,3093,BLR,3131,,0,320 G8,2575,DEL,3093,BOM,2997,,0,320 G8,2575,DEL,3093,CCU,3043,,0,320 G8,2575,DEL,3093,GAU,6173,,0,320 G8,2575,DEL,3093,GOI,3007,,0,320 G8,2575,DEL,3093,IXB,3040,,0,320 G8,2575,DEL,3093,IXJ,3100,,0,320 G8,2575,DEL,3093,IXL,3104,,0,320 G8,2575,DEL,3093,IXR,3063,,0,320 G8,2575,DEL,3093,LKO,3105,,0,320 G8,2575,DEL,3093,NAG,3015,,0,320 G8,2575,DEL,3093,PAT,3061,,0,320 G8,2575,DEL,3093,PNQ,3017,,0,320 G8,2575,DEL,3093,SXR,3112,,0,320 G8,2575,GAU,6173,CCU,3043,,0,320 G8,2575,GAU,6173,DEL,3093,,0,320 G8,2575,GOI,3007,BLR,3131,,0,320 G8,2575,GOI,3007,BOM,2997,,0,320 G8,2575,GOI,3007,DEL,3093,,0,320 G8,2575,IXB,3040,CCU,3043,,0,320 G8,2575,IXB,3040,DEL,3093,,0,320 G8,2575,IXC,3089,BOM,2997,,0,320 G8,2575,IXJ,3100,BOM,2997,,0,320 G8,2575,IXJ,3100,DEL,3093,,0,320 G8,2575,IXJ,3100,SXR,3112,,0,320 G8,2575,IXL,3104,DEL,3093,,0,320 G8,2575,IXR,3063,BOM,2997,,0,320 G8,2575,IXR,3063,DEL,3093,,0,320 G8,2575,IXZ,3146,CCU,3043,,0,320 G8,2575,IXZ,3146,MAA,3144,,0,320 G8,2575,JAI,3098,BOM,2997,,0,320 G8,2575,LKO,3105,BOM,2997,,0,320 G8,2575,LKO,3105,DEL,3093,,0,320 G8,2575,MAA,3144,BOM,2997,,0,320 G8,2575,MAA,3144,IXZ,3146,,0,320 G8,2575,MAA,3144,PNQ,3017,,0,320 G8,2575,NAG,3015,BOM,2997,,0,320 G8,2575,NAG,3015,CCU,3043,,0,320 G8,2575,NAG,3015,DEL,3093,,0,320 G8,2575,NAG,3015,PNQ,3017,,0,320 G8,2575,PAT,3061,CCU,3043,,0,320 G8,2575,PAT,3061,DEL,3093,,0,320 G8,2575,PAT,3061,IXR,3063,,0,320 G8,2575,PNQ,3017,BLR,3131,,0,320 G8,2575,PNQ,3017,DEL,3093,,0,320 G8,2575,PNQ,3017,MAA,3144,,0,320 G8,2575,PNQ,3017,NAG,3015,,0,320 G8,2575,SXR,3112,DEL,3093,,0,320 G8,2575,SXR,3112,IXJ,3100,,0,320 G9,329,AHB,2059,SHJ,2191,,0,320 G9,329,ALA,2908,SHJ,2191,,0,320 G9,329,AMD,2994,SHJ,2191,,0,320 G9,329,AMM,2170,SHJ,2191,,0,320 G9,329,ATZ,5691,SHJ,2191,,0,320 G9,329,BAH,2057,SHJ,2191,,0,320 G9,329,BEY,2177,SHJ,2191,,0,320 G9,329,BGW,4130,SHJ,2191,,0,320 G9,329,BLR,3131,SHJ,2191,,0,320 G9,329,BOM,2997,SHJ,2191,,0,320 G9,329,BSR,2234,SHJ,2191,,0,320 G9,329,CAI,1128,SHJ,2191,,0,320 G9,329,CCJ,3137,SHJ,2191,,0,320 G9,329,CGP,3069,SHJ,2191,,0,320 G9,329,CIT,2914,SHJ,2191,,0,320 G9,329,CJB,3135,SHJ,2191,,0,320 G9,329,CMB,3024,SHJ,2191,,0,320 G9,329,COK,3136,SHJ,2191,,0,320 G9,329,DAC,3076,SHJ,2191,,0,320 G9,329,DEL,3093,SHJ,2191,,0,320 G9,329,DME,4029,SHJ,2191,,0,320 G9,329,DMM,2064,SHJ,2191,,0,320 G9,329,DOH,11051,SHJ,2191,,0,320 G9,329,DOK,2940,SHJ,2191,,0,320 G9,329,EBL,3989,SHJ,2191,,0,320 G9,329,ELQ,2067,SHJ,2191,,0,320 G9,329,EVN,3964,SHJ,2191,,0,320 G9,329,GOI,3007,SHJ,2191,,0,320 G9,329,HAS,2069,SHJ,2191,,0,320 G9,329,HBE,3410,SHJ,2191,,0,320 G9,329,HMB,8235,SHJ,2191,,0,320 G9,329,HOF,2060,SHJ,2191,,0,320 G9,329,HRK,6105,SHJ,2191,,0,320 G9,329,HYD,\N,SHJ,2191,,0,320 G9,329,IKA,4330,SHJ,2191,,0,320 G9,329,JAI,3098,SHJ,2191,,0,320 G9,329,JED,2072,SHJ,2191,,0,320 G9,329,KBP,2939,SHJ,2191,,0,320 G9,329,KHI,2206,SHJ,2191,,0,320 G9,329,KRT,1175,SHJ,2191,,0,320 G9,329,KTM,3125,SHJ,2191,,0,320 G9,329,KWI,2176,SHJ,2191,,0,320 G9,329,KZN,2990,SHJ,2191,,0,320 G9,329,LRR,5934,SHJ,2191,,0,320 G9,329,MAA,3144,SHJ,2191,,0,320 G9,329,MCT,2194,SHJ,2191,,0,320 G9,329,MED,2074,SHJ,2191,,0,320 G9,329,MHD,4331,SHJ,2191,,0,320 G9,329,NAG,3015,SHJ,2191,,0,320 G9,329,NBO,4059,SHJ,2191,,0,320 G9,329,NJF,7490,SHJ,2191,,0,320 G9,329,ODS,2947,SHJ,2191,,0,320 G9,329,PEW,2219,SHJ,2191,,0,320 G9,329,ROV,2964,SHJ,2191,,0,320 G9,329,RUH,2082,SHJ,2191,,0,320 G9,329,SAW,4317,SHJ,2191,,0,320 G9,329,SHJ,2191,AHB,2059,,0,320 G9,329,SHJ,2191,ALA,2908,,0,320 G9,329,SHJ,2191,AMD,2994,,0,320 G9,329,SHJ,2191,AMM,2170,,0,320 G9,329,SHJ,2191,ATZ,5691,,0,320 G9,329,SHJ,2191,BAH,2057,,0,320 G9,329,SHJ,2191,BEY,2177,,0,320 G9,329,SHJ,2191,BGW,4130,,0,320 G9,329,SHJ,2191,BLR,3131,,0,320 G9,329,SHJ,2191,BOM,2997,,0,320 G9,329,SHJ,2191,BSR,2234,,0,320 G9,329,SHJ,2191,CAI,1128,,0,320 G9,329,SHJ,2191,CCJ,3137,,0,320 G9,329,SHJ,2191,CGP,3069,,0,320 G9,329,SHJ,2191,CIT,2914,,0,320 G9,329,SHJ,2191,CJB,3135,,0,320 G9,329,SHJ,2191,CMB,3024,,0,320 G9,329,SHJ,2191,COK,3136,,0,320 G9,329,SHJ,2191,DAC,3076,,0,320 G9,329,SHJ,2191,DEL,3093,,0,320 G9,329,SHJ,2191,DME,4029,,0,320 G9,329,SHJ,2191,DMM,2064,,0,320 G9,329,SHJ,2191,DOH,11051,,0,320 G9,329,SHJ,2191,DOK,2940,,0,320 G9,329,SHJ,2191,EBL,3989,,0,320 G9,329,SHJ,2191,ELQ,2067,,0,320 G9,329,SHJ,2191,EVN,3964,,0,320 G9,329,SHJ,2191,GOI,3007,,0,320 G9,329,SHJ,2191,HAS,2069,,0,320 G9,329,SHJ,2191,HBE,3410,,0,320 G9,329,SHJ,2191,HMB,8235,,0,320 G9,329,SHJ,2191,HOF,2060,,0,320 G9,329,SHJ,2191,HRK,6105,,0,320 G9,329,SHJ,2191,HYD,\N,,0,320 G9,329,SHJ,2191,IKA,4330,,0,320 G9,329,SHJ,2191,JAI,3098,,0,320 G9,329,SHJ,2191,JED,2072,,0,320 G9,329,SHJ,2191,KBP,2939,,0,320 G9,329,SHJ,2191,KHI,2206,,0,320 G9,329,SHJ,2191,KRT,1175,,0,320 G9,329,SHJ,2191,KTM,3125,,0,320 G9,329,SHJ,2191,KWI,2176,,0,320 G9,329,SHJ,2191,KZN,2990,,0,320 G9,329,SHJ,2191,LRR,5934,,0,320 G9,329,SHJ,2191,MAA,3144,,0,320 G9,329,SHJ,2191,MCT,2194,,0,320 G9,329,SHJ,2191,MED,2074,,0,320 G9,329,SHJ,2191,MHD,4331,,0,320 G9,329,SHJ,2191,NAG,3015,,0,320 G9,329,SHJ,2191,NBO,4059,,0,320 G9,329,SHJ,2191,NJF,7490,,0,320 G9,329,SHJ,2191,ODS,2947,,0,320 G9,329,SHJ,2191,PEW,2219,,0,320 G9,329,SHJ,2191,ROV,2964,,0,320 G9,329,SHJ,2191,RUH,2082,,0,320 G9,329,SHJ,2191,SAW,4317,,0,320 G9,329,SHJ,2191,SKT,6776,,0,320 G9,329,SHJ,2191,SLL,2195,,0,320 G9,329,SHJ,2191,SVX,2975,,0,320 G9,329,SHJ,2191,SYZ,2157,,0,320 G9,329,SHJ,2191,TIF,2090,,0,320 G9,329,SHJ,2191,TRV,3153,,0,320 G9,329,SHJ,2191,TSE,2910,,0,320 G9,329,SHJ,2191,UFA,2992,,0,320 G9,329,SHJ,2191,YNB,2096,,0,320 G9,329,SKT,6776,SHJ,2191,,0,320 G9,329,SLL,2195,SHJ,2191,,0,320 G9,329,SVX,2975,SHJ,2191,,0,320 G9,329,SYZ,2157,SHJ,2191,,0,320 G9,329,TIF,2090,SHJ,2191,,0,320 G9,329,TRV,3153,SHJ,2191,,0,320 G9,329,TSE,2910,SHJ,2191,,0,320 G9,329,UFA,2992,SHJ,2191,,0,320 G9,329,YNB,2096,SHJ,2191,,0,320 GA,2520,AMQ,3256,CGK,3275,,0,738 GA,2520,AMQ,3256,SUB,3928,,0,CRK GA,2520,AMQ,3256,UPG,3240,,0,738 GA,2520,AMS,580,AUH,2179,,0,332 GA,2520,AUH,2179,AMS,580,,0,332 GA,2520,AUH,2179,CGK,3275,,0,332 GA,2520,BDJ,3908,CGK,3275,,0,738 GA,2520,BDJ,3908,SUB,3928,,0,CRK GA,2520,BDO,3896,DPS,3940,,0,738 GA,2520,BDO,3896,SIN,3316,Y,0,319 GA,2520,BDO,3896,SUB,3928,,0,738 GA,2520,BEJ,6209,BPN,3919,,0,CRK GA,2520,BIK,3241,DJJ,3244,,0,738 GA,2520,BIK,3241,UPG,3240,,0,738 GA,2520,BKK,3885,CGK,3275,,0,738 GA,2520,BKS,3288,CGK,3275,,0,CRK 735 GA,2520,BMU,3924,DPS,3940,,0,AT7 GA,2520,BMU,3924,LOP,8401,,0,AT7 GA,2520,BNE,3320,DPS,3940,,0,738 GA,2520,BOM,2997,SIN,3316,,0,73H GA,2520,BPN,3919,BEJ,6209,,0,CRK GA,2520,BPN,3919,CGK,3275,,0,738 332 GA,2520,BPN,3919,JOG,3898,,0,CRK GA,2520,BPN,3919,MDC,3250,,0,CRK GA,2520,BPN,3919,SIN,3316,,0,738 GA,2520,BPN,3919,SUB,3928,,0,738 CRK GA,2520,BPN,3919,TRK,3920,,0,CRK GA,2520,BPN,3919,UPG,3240,,0,738 GA,2520,BTH,3903,CGK,3275,,0,738 GA,2520,BTH,3903,TKG,6223,,0,CRK GA,2520,BTJ,3294,CGK,3275,,0,738 GA,2520,BWN,3272,CGK,3275,Y,0,319 GA,2520,BWN,3272,SUB,3928,Y,0,320 319 GA,2520,CAN,3370,CGK,3275,,0,332 GA,2520,CGK,3275,AMQ,3256,,0,738 GA,2520,CGK,3275,AUH,2179,,0,332 GA,2520,CGK,3275,BDJ,3908,,0,738 GA,2520,CGK,3275,BKK,3885,,0,738 GA,2520,CGK,3275,BKS,3288,,0,CRK 735 GA,2520,CGK,3275,BPN,3919,,0,738 332 GA,2520,CGK,3275,BTH,3903,,0,738 GA,2520,CGK,3275,BTJ,3294,,0,738 GA,2520,CGK,3275,BWN,3272,Y,0,319 GA,2520,CGK,3275,CAN,3370,,0,332 GA,2520,CGK,3275,DJB,3287,,0,738 GA,2520,CGK,3275,DJJ,3244,,0,738 GA,2520,CGK,3275,DPS,3940,,0,738 332 777 333 GA,2520,CGK,3275,HKG,3077,,0,332 333 GA,2520,CGK,3275,HND,2359,,0,788 GA,2520,CGK,3275,ICN,3930,,0,333 332 GA,2520,CGK,3275,JED,2072,,0,777 GA,2520,CGK,3275,JOG,3898,,0,738 GA,2520,CGK,3275,KIX,3992,,0,332 GA,2520,CGK,3275,KUL,3304,,0,738 GA,2520,CGK,3275,LOP,8401,,0,738 GA,2520,CGK,3275,MDC,3250,,0,738 GA,2520,CGK,3275,MEL,3339,,0,332 GA,2520,CGK,3275,MLG,3894,,0,738 GA,2520,CGK,3275,MNL,2397,Y,0,319 320 GA,2520,CGK,3275,NRT,2279,,0,763 777 GA,2520,CGK,3275,PDG,8807,,0,738 GA,2520,CGK,3275,PEK,3364,,0,333 GA,2520,CGK,3275,PER,3351,,0,738 GA,2520,CGK,3275,PGK,3905,,0,738 GA,2520,CGK,3275,PKU,3273,,0,738 GA,2520,CGK,3275,PKY,3911,,0,738 GA,2520,CGK,3275,PLM,3289,,0,738 GA,2520,CGK,3275,PLW,3249,,0,738 GA,2520,CGK,3275,PNK,3284,,0,738 735 CRK GA,2520,CGK,3275,PVG,3406,,0,777 GA,2520,CGK,3275,SIN,3316,,0,738 332 333 GA,2520,CGK,3275,SOC,3929,,0,738 GA,2520,CGK,3275,SRG,3901,,0,738 GA,2520,CGK,3275,SUB,3928,,0,738 332 GA,2520,CGK,3275,SYD,3361,,0,332 GA,2520,CGK,3275,TJQ,3904,,0,735 CRK GA,2520,CGK,3275,TKG,6223,,0,738 GA,2520,CGK,3275,TNJ,3906,,0,CRK GA,2520,CGK,3275,TPE,2276,,0,738 GA,2520,CGK,3275,TTE,3253,,0,735 CRK GA,2520,CGK,3275,UPG,3240,,0,738 332 GA,2520,DEL,3093,SIN,3316,,0,73H GA,2520,DJB,3287,CGK,3275,,0,738 GA,2520,DJJ,3244,BIK,3241,,0,738 GA,2520,DJJ,3244,CGK,3275,,0,738 GA,2520,DJJ,3244,MKQ,3246,,0,738 GA,2520,DJJ,3244,MKW,3260,,0,CRK GA,2520,DJJ,3244,TIM,3243,,0,738 GA,2520,DJJ,3244,UPG,3240,,0,738 GA,2520,DPS,3940,BDO,3896,,0,738 GA,2520,DPS,3940,BMU,3924,,0,AT7 GA,2520,DPS,3940,BNE,3320,,0,738 GA,2520,DPS,3940,CGK,3275,,0,738 333 332 777 GA,2520,DPS,3940,HKG,3077,,0,738 GA,2520,DPS,3940,HND,2359,,0,332 GA,2520,DPS,3940,ICN,3930,,0,333 332 GA,2520,DPS,3940,JOG,3898,,0,738 GA,2520,DPS,3940,KIX,3992,,0,333 GA,2520,DPS,3940,KOE,3916,,0,738 CRK GA,2520,DPS,3940,LBJ,3917,,0,AT7 GA,2520,DPS,3940,LOP,8401,,0,AT7 738 GA,2520,DPS,3940,MEL,3339,,0,333 GA,2520,DPS,3940,NRT,2279,,0,333 GA,2520,DPS,3940,PER,3351,,0,738 GA,2520,DPS,3940,PLM,3289,,0,CRK GA,2520,DPS,3940,SIN,3316,,0,738 772 GA,2520,DPS,3940,SRG,3901,,0,CRK GA,2520,DPS,3940,SUB,3928,,0,CRK 738 GA,2520,DPS,3940,SYD,3361,,0,332 GA,2520,DPS,3940,TIM,3243,,0,738 GA,2520,DPS,3940,TMC,6204,,0,AT7 GA,2520,DPS,3940,TPE,2276,Y,0,333 GA,2520,DPS,3940,UPG,3240,,0,CRK 738 GA,2520,ENE,3914,KOE,3916,,0,AT7 GA,2520,ENE,3914,LBJ,3917,,0,AT7 GA,2520,GTO,3247,UPG,3240,,0,738 GA,2520,HKG,3077,CGK,3275,,0,333 332 GA,2520,HKG,3077,DPS,3940,,0,738 GA,2520,HND,2359,CGK,3275,,0,788 GA,2520,HND,2359,DPS,3940,,0,332 GA,2520,ICN,3930,CGK,3275,,0,332 333 GA,2520,ICN,3930,DPS,3940,,0,333 332 GA,2520,IST,1701,SIN,3316,Y,0,333 GA,2520,JED,2072,CGK,3275,,0,777 GA,2520,JED,2072,SUB,3928,,0,744 GA,2520,JOG,3898,BPN,3919,,0,CRK GA,2520,JOG,3898,CGK,3275,,0,738 GA,2520,JOG,3898,DPS,3940,,0,738 GA,2520,JOG,3898,SIN,3316,,0,319 GA,2520,JOG,3898,UPG,3240,,0,CRK GA,2520,KDI,3890,UPG,3240,,0,738 CRK GA,2520,KIX,3992,CGK,3275,,0,332 GA,2520,KIX,3992,DPS,3940,,0,333 GA,2520,KOE,3916,DPS,3940,,0,738 CRK GA,2520,KOE,3916,ENE,3914,,0,AT7 GA,2520,KOE,3916,LOP,8401,,0,CRK GA,2520,KOE,3916,TMC,6204,,0,AT7 GA,2520,KUL,3304,CGK,3275,,0,738 GA,2520,LBJ,3917,DPS,3940,,0,AT7 GA,2520,LBJ,3917,ENE,3914,,0,AT7 GA,2520,LOP,8401,BMU,3924,,0,AT7 GA,2520,LOP,8401,CGK,3275,,0,738 GA,2520,LOP,8401,DPS,3940,,0,738 AT7 GA,2520,LOP,8401,KOE,3916,,0,CRK GA,2520,LOP,8401,SIN,3316,Y,0,319 GA,2520,LOP,8401,SUB,3928,,0,CRK GA,2520,LOP,8401,UPG,3240,,0,CRK GA,2520,MAA,3144,SIN,3316,,0,73H GA,2520,MDC,3250,BPN,3919,,0,CRK GA,2520,MDC,3250,CGK,3275,,0,738 GA,2520,MDC,3250,SIN,3316,Y,0,319 GA,2520,MDC,3250,TTE,3253,,0,CRK GA,2520,MDC,3250,UPG,3240,,0,CRK GA,2520,MEL,3339,CGK,3275,,0,332 GA,2520,MEL,3339,DPS,3940,,0,333 GA,2520,MKQ,3246,DJJ,3244,,0,738 GA,2520,MKW,3260,DJJ,3244,,0,CRK GA,2520,MKW,3260,SOQ,3261,,0,CRK GA,2520,MLG,3894,CGK,3275,,0,738 GA,2520,MNL,2397,CGK,3275,Y,0,319 320 GA,2520,NRT,2279,CGK,3275,,0,777 763 GA,2520,NRT,2279,DPS,3940,,0,333 GA,2520,PDG,8807,CGK,3275,,0,738 GA,2520,PEK,3364,CGK,3275,,0,333 GA,2520,PER,3351,CGK,3275,,0,738 GA,2520,PER,3351,DPS,3940,,0,738 GA,2520,PGK,3905,CGK,3275,,0,738 GA,2520,PKU,3273,CGK,3275,,0,738 GA,2520,PKU,3273,SIN,3316,Y,0,319 GA,2520,PKY,3911,CGK,3275,,0,738 GA,2520,PLM,3289,CGK,3275,,0,738 GA,2520,PLM,3289,DPS,3940,,0,CRK GA,2520,PLM,3289,SIN,3316,Y,0,319 GA,2520,PLW,3249,CGK,3275,,0,738 GA,2520,PLW,3249,UPG,3240,,0,738 GA,2520,PNK,3284,CGK,3275,,0,738 735 CRK GA,2520,PVG,3406,CGK,3275,,0,777 GA,2520,SIN,3316,BDO,3896,Y,0,319 GA,2520,SIN,3316,BOM,2997,,0,73H GA,2520,SIN,3316,BPN,3919,,0,738 GA,2520,SIN,3316,CGK,3275,,0,738 332 333 GA,2520,SIN,3316,DEL,3093,,0,73H GA,2520,SIN,3316,DPS,3940,,0,772 738 GA,2520,SIN,3316,IST,1701,Y,0,330 GA,2520,SIN,3316,JOG,3898,,0,319 GA,2520,SIN,3316,LOP,8401,Y,0,319 GA,2520,SIN,3316,MAA,3144,,0,73H GA,2520,SIN,3316,MDC,3250,Y,0,320 GA,2520,SIN,3316,PKU,3273,Y,0,319 GA,2520,SIN,3316,PLM,3289,Y,0,319 GA,2520,SIN,3316,SOC,3929,Y,0,319 320 GA,2520,SIN,3316,SRG,3901,,0,319 GA,2520,SIN,3316,SUB,3928,,0,738 GA,2520,SIN,3316,TPE,2276,Y,0,333 GA,2520,SIN,3316,UPG,3240,,0,319 GA,2520,SOC,3929,CGK,3275,,0,738 GA,2520,SOC,3929,SIN,3316,Y,0,319 320 GA,2520,SOQ,3261,MKW,3260,,0,CRK GA,2520,SOQ,3261,UPG,3240,,0,CRK GA,2520,SRG,3901,CGK,3275,,0,738 GA,2520,SRG,3901,DPS,3940,,0,CRK GA,2520,SRG,3901,SIN,3316,,0,319 GA,2520,SRG,3901,SUB,3928,,0,CRK GA,2520,SUB,3928,AMQ,3256,,0,CRK GA,2520,SUB,3928,BDJ,3908,,0,CRK GA,2520,SUB,3928,BDO,3896,,0,738 GA,2520,SUB,3928,BPN,3919,,0,738 CRK GA,2520,SUB,3928,BWN,3272,Y,0,319 320 GA,2520,SUB,3928,CGK,3275,,0,738 332 GA,2520,SUB,3928,DPS,3940,,0,CRK 738 GA,2520,SUB,3928,JED,2072,,0,744 GA,2520,SUB,3928,LOP,8401,,0,CRK GA,2520,SUB,3928,SIN,3316,,0,738 GA,2520,SUB,3928,SRG,3901,,0,CRK GA,2520,SUB,3928,UPG,3240,,0,CRK GA,2520,SYD,3361,CGK,3275,,0,332 GA,2520,SYD,3361,DPS,3940,,0,332 GA,2520,TIM,3243,DJJ,3244,,0,738 GA,2520,TIM,3243,DPS,3940,,0,738 GA,2520,TJQ,3904,CGK,3275,,0,735 CRK GA,2520,TKG,6223,BTH,3903,,0,CRK GA,2520,TKG,6223,CGK,3275,,0,738 GA,2520,TMC,6204,DPS,3940,,0,AT7 GA,2520,TMC,6204,KOE,3916,,0,AT7 GA,2520,TNJ,3906,CGK,3275,,0,CRK GA,2520,TPE,2276,CGK,3275,,0,738 GA,2520,TPE,2276,DPS,3940,Y,0,333 GA,2520,TPE,2276,SIN,3316,Y,0,333 GA,2520,TRK,3920,BPN,3919,,0,CRK GA,2520,TTE,3253,CGK,3275,,0,735 CRK GA,2520,TTE,3253,MDC,3250,,0,CRK GA,2520,TTE,3253,UPG,3240,,0,CRK GA,2520,UPG,3240,AMQ,3256,,0,738 GA,2520,UPG,3240,BIK,3241,,0,738 GA,2520,UPG,3240,BPN,3919,,0,738 GA,2520,UPG,3240,CGK,3275,,0,332 738 GA,2520,UPG,3240,DJJ,3244,,0,738 GA,2520,UPG,3240,DPS,3940,,0,738 CRK GA,2520,UPG,3240,GTO,3247,,0,738 GA,2520,UPG,3240,JOG,3898,,0,CRK GA,2520,UPG,3240,KDI,3890,,0,738 CRK GA,2520,UPG,3240,LOP,8401,,0,CRK GA,2520,UPG,3240,MDC,3250,,0,CRK GA,2520,UPG,3240,PLW,3249,,0,738 GA,2520,UPG,3240,SIN,3316,,0,319 GA,2520,UPG,3240,SOQ,3261,,0,CRK GA,2520,UPG,3240,SUB,3928,,0,CRK GA,2520,UPG,3240,TTE,3253,,0,CRK GE,5038,AKJ,2299,TPE,2276,,0,330 GE,5038,BKK,3885,TPE,2276,,0,330 GE,5038,CJU,2370,TPE,2276,,0,320 GE,5038,CKG,3393,TSA,2275,,0,321 GE,5038,CNX,3931,TPE,2276,,0,321 GE,5038,CSX,3371,KHH,2264,,0,320 GE,5038,CSX,3371,TPE,2276,,0,321 GE,5038,CTS,2287,TPE,2276,,0,330 GE,5038,DYG,6353,TPE,2276,,0,321 GE,5038,FOC,3385,KHH,2264,,0,320 GE,5038,FOC,3385,RMQ,2268,,0,321 GE,5038,FOC,3385,TSA,2275,,0,321 GE,5038,HFE,3389,KHH,2264,,0,320 GE,5038,HFE,3389,TSA,2275,,0,321 GE,5038,HGH,3386,TSA,2275,,0,321 GE,5038,HKD,2288,TPE,2276,,0,330 GE,5038,HUN,2278,RMQ,2268,,0,AT7 GE,5038,HUN,2278,TSA,2275,,0,AT7 GE,5038,ISG,2387,TPE,2276,,0,320 GE,5038,KHH,2264,CSX,3371,,0,320 GE,5038,KHH,2264,FOC,3385,,0,320 GE,5038,KHH,2264,HFE,3389,,0,320 GE,5038,KHH,2264,KNH,2259,,0,AT7 GE,5038,KHH,2264,MFM,3121,,0,320 GE,5038,KHH,2264,MZG,2272,,0,AT7 GE,5038,KHH,2264,NNG,3373,,0,320 GE,5038,KHH,2264,XMN,3383,,0,320 GE,5038,KHH,2264,XUZ,4149,,0,320 GE,5038,KIX,3992,TPE,2276,,0,330 321 GE,5038,KNH,2259,KHH,2264,,0,AT7 GE,5038,KNH,2259,MZG,2272,,0,AT7 GE,5038,KNH,2259,TSA,2275,,0,AT7 GE,5038,KUH,5994,TPE,2276,,0,330 GE,5038,MFM,3121,KHH,2264,,0,320 GE,5038,MFM,3121,RMQ,2268,,0,320 GE,5038,MFM,3121,TPE,2276,,0,321 320 GE,5038,MZG,2272,KHH,2264,,0,AT7 GE,5038,MZG,2272,KNH,2259,,0,AT7 GE,5038,MZG,2272,TSA,2275,,0,AT7 GE,5038,NNG,3373,KHH,2264,,0,320 GE,5038,NNG,3373,RMQ,2268,,0,320 GE,5038,NRT,2279,TPE,2276,,0,320 GE,5038,OKA,2384,TPE,2276,,0,320 321 GE,5038,PVG,3406,RMQ,2268,,0,321 GE,5038,PVG,3406,TPE,2276,,0,330 GE,5038,PVG,3406,TSA,2275,,0,321 GE,5038,REP,3035,TPE,2276,,0,321 GE,5038,RMQ,2268,FOC,3385,,0,321 GE,5038,RMQ,2268,HUN,2278,,0,AT7 GE,5038,RMQ,2268,MFM,3121,,0,320 GE,5038,RMQ,2268,NNG,3373,,0,320 GE,5038,RMQ,2268,PVG,3406,,0,321 GE,5038,RMQ,2268,XMN,3383,,0,321 GE,5038,ROR,2256,TPE,2276,,0,320 GE,5038,SHA,3391,TSA,2275,,0,321 GE,5038,TPE,2276,AKJ,2299,,0,330 GE,5038,TPE,2276,BKK,3885,,0,330 GE,5038,TPE,2276,CJU,2370,,0,320 GE,5038,TPE,2276,CNX,3931,,0,321 GE,5038,TPE,2276,CSX,3371,,0,321 GE,5038,TPE,2276,CTS,2287,,0,330 GE,5038,TPE,2276,DYG,6353,,0,321 GE,5038,TPE,2276,HKD,2288,,0,330 GE,5038,TPE,2276,ISG,2387,,0,320 GE,5038,TPE,2276,KIX,3992,,0,330 321 GE,5038,TPE,2276,KUH,5994,,0,330 GE,5038,TPE,2276,MFM,3121,,0,321 320 GE,5038,TPE,2276,NRT,2279,,0,320 GE,5038,TPE,2276,OKA,2384,,0,320 321 GE,5038,TPE,2276,PVG,3406,,0,330 GE,5038,TPE,2276,REP,3035,,0,321 GE,5038,TPE,2276,ROR,2256,,0,320 GE,5038,TPE,2276,WUX,6390,Y,0,738 GE,5038,TPE,2276,XUZ,4149,,0,321 GE,5038,TSA,2275,CKG,3393,,0,321 GE,5038,TSA,2275,FOC,3385,,0,321 GE,5038,TSA,2275,HFE,3389,,0,321 GE,5038,TSA,2275,HGH,3386,,0,321 GE,5038,TSA,2275,HUN,2278,,0,AT7 GE,5038,TSA,2275,KNH,2259,,0,AT7 GE,5038,TSA,2275,MZG,2272,,0,AT7 GE,5038,TSA,2275,PVG,3406,,0,321 GE,5038,TSA,2275,SHA,3391,,0,321 GE,5038,TSA,2275,TSN,3368,,0,321 GE,5038,TSA,2275,WUH,3376,,0,321 GE,5038,TSN,3368,TSA,2275,,0,321 GE,5038,WUH,3376,TSA,2275,,0,321 GE,5038,WUX,6390,TPE,2276,Y,0,738 GE,5038,XMN,3383,KHH,2264,,0,320 GE,5038,XMN,3383,RMQ,2268,,0,321 GE,5038,XUZ,4149,KHH,2264,,0,320 GE,5038,XUZ,4149,TPE,2276,,0,321 GF,2638,ADD,1107,BAH,2057,,0,320 GF,2638,AMM,2170,BAH,2057,,0,320 321 GF,2638,ATH,3941,LCA,1197,,0,320 GF,2638,AUH,2179,BAH,2057,,0,320 GF,2638,BAH,2057,ADD,1107,,0,320 GF,2638,BAH,2057,AMM,2170,,0,320 321 GF,2638,BAH,2057,AUH,2179,,0,320 GF,2638,BAH,2057,BEY,2177,,0,320 GF,2638,BAH,2057,BGW,4130,,0,320 GF,2638,BAH,2057,BKK,3885,,0,332 330 GF,2638,BAH,2057,BOM,2997,,0,321 320 GF,2638,BAH,2057,CAI,1128,,0,320 321 GF,2638,BAH,2057,CDG,1382,,0,320 GF,2638,BAH,2057,COK,3136,,0,321 GF,2638,BAH,2057,DEL,3093,,0,321 GF,2638,BAH,2057,DMM,2064,,0,320 GF,2638,BAH,2057,DOH,11051,,0,320 GF,2638,BAH,2057,DWC,8076,,0,320 321 GF,2638,BAH,2057,DXB,2188,,0,320 321 GF,2638,BAH,2057,FRA,340,,0,320 GF,2638,BAH,2057,IKA,4330,,0,320 GF,2638,BAH,2057,ISB,2223,,0,330 GF,2638,BAH,2057,IST,1701,,0,320 GF,2638,BAH,2057,JED,2072,,0,321 320 330 332 GF,2638,BAH,2057,KHI,2206,,0,320 321 332 GF,2638,BAH,2057,KRT,1175,,0,320 GF,2638,BAH,2057,KWI,2176,,0,320 321 GF,2638,BAH,2057,LCA,1197,,0,320 GF,2638,BAH,2057,LHE,2207,,0,330 332 GF,2638,BAH,2057,LHR,507,,0,332 320 GF,2638,BAH,2057,MAA,3144,,0,321 GF,2638,BAH,2057,MCT,2194,,0,320 GF,2638,BAH,2057,MED,2074,,0,320 GF,2638,BAH,2057,MHD,4331,,0,320 GF,2638,BAH,2057,MNL,2397,,0,330 332 GF,2638,BAH,2057,NJF,7490,,0,321 320 GF,2638,BAH,2057,PEW,2219,,0,330 321 332 GF,2638,BAH,2057,RUH,2082,,0,320 321 GF,2638,BAH,2057,SAH,3980,,0,320 GF,2638,BAH,2057,SKT,6776,,0,321 GF,2638,BAH,2057,TRV,3153,,0,321 GF,2638,BEY,2177,BAH,2057,,0,320 GF,2638,BGW,4130,BAH,2057,,0,320 GF,2638,BKK,3885,BAH,2057,,0,332 330 GF,2638,BOM,2997,BAH,2057,,0,320 321 GF,2638,CAI,1128,BAH,2057,,0,320 321 GF,2638,CDG,1382,BAH,2057,,0,320 GF,2638,COK,3136,BAH,2057,,0,321 GF,2638,DEL,3093,BAH,2057,,0,321 GF,2638,DMM,2064,BAH,2057,,0,320 GF,2638,DOH,11051,BAH,2057,,0,320 GF,2638,DWC,8076,BAH,2057,,0,320 321 GF,2638,DXB,2188,BAH,2057,,0,320 321 GF,2638,FRA,340,BAH,2057,,0,320 GF,2638,IKA,4330,BAH,2057,,0,320 GF,2638,ISB,2223,BAH,2057,,0,330 GF,2638,IST,1701,BAH,2057,,0,320 GF,2638,JED,2072,BAH,2057,,0,321 320 330 332 GF,2638,KHI,2206,BAH,2057,,0,320 321 332 GF,2638,KRT,1175,BAH,2057,,0,320 GF,2638,KWI,2176,BAH,2057,,0,320 321 GF,2638,LCA,1197,ATH,3941,Y,0,320 GF,2638,LCA,1197,BAH,2057,,0,320 GF,2638,LHE,2207,BAH,2057,,0,330 332 GF,2638,LHR,507,BAH,2057,,0,332 320 GF,2638,LHR,507,DFW,3670,Y,0,777 GF,2638,MAA,3144,BAH,2057,,0,321 GF,2638,MCT,2194,BAH,2057,,0,320 GF,2638,MED,2074,BAH,2057,,0,320 GF,2638,MHD,4331,BAH,2057,,0,320 GF,2638,MNL,2397,BAH,2057,,0,330 GF,2638,NJF,7490,BAH,2057,,0,321 320 GF,2638,PEW,2219,BAH,2057,,0,330 321 332 GF,2638,RUH,2082,BAH,2057,,0,320 321 GF,2638,SAH,3980,BAH,2057,,0,320 GF,2638,SKT,6776,BAH,2057,,0,321 GF,2638,TRV,3153,BAH,2057,,0,321 GK,14118,CTS,2287,KIX,3992,,0,320 GK,14118,CTS,2287,NGO,3942,,0,320 GK,14118,CTS,2287,NRT,2279,,0,320 GK,14118,FUK,2305,KIX,3992,,0,320 GK,14118,FUK,2305,NGO,3942,,0,320 GK,14118,FUK,2305,NRT,2279,,0,320 GK,14118,KIX,3992,CTS,2287,,0,320 GK,14118,KIX,3992,FUK,2305,,0,320 GK,14118,KIX,3992,NRT,2279,,0,320 GK,14118,KIX,3992,OKA,2384,,0,320 GK,14118,KOJ,2307,NGO,3942,,0,320 GK,14118,KOJ,2307,NRT,2279,,0,320 GK,14118,MYJ,2333,NRT,2279,,0,320 GK,14118,NGO,3942,CTS,2287,,0,320 GK,14118,NGO,3942,FUK,2305,,0,320 GK,14118,NGO,3942,KOJ,2307,,0,320 GK,14118,NRT,2279,CTS,2287,,0,320 GK,14118,NRT,2279,FUK,2305,,0,320 GK,14118,NRT,2279,KIX,3992,,0,320 GK,14118,NRT,2279,KOJ,2307,,0,320 GK,14118,NRT,2279,MYJ,2333,,0,320 GK,14118,NRT,2279,OIT,2310,,0,320 GK,14118,NRT,2279,OKA,2384,,0,320 GK,14118,NRT,2279,TAK,2337,,0,320 GK,14118,OIT,2310,NRT,2279,,0,320 GK,14118,OKA,2384,KIX,3992,,0,320 GK,14118,OKA,2384,NRT,2279,,0,320 GK,14118,TAK,2337,NRT,2279,,0,320 GL,921,AGM,7642,IOQ,\N,,0,BH2 GL,921,AGM,7642,KUS,4248,,0,BH2 GL,921,AGM,7642,KUZ,\N,,0,BH2 GL,921,AGM,7642,SGG,\N,,0,BH2 GL,921,AGM,7642,TQI,\N,,0,BH2 GL,921,AOQ,\N,JUV,5448,,0,BH2 GL,921,CNP,5439,KUS,4248,,0,DH8 GL,921,CNP,5439,OBY,8208,,0,NDE GL,921,CPH,609,SFJ,9,,0,332 GL,921,GOH,8,JAV,3995,,0,DH8 GL,921,GOH,8,JFR,5440,,0,DH8 GL,921,GOH,8,JHS,5447,,0,DH8 GL,921,GOH,8,JSU,5443,,0,DH7 GL,921,GOH,8,KEF,16,,0,DH8 GL,921,GOH,8,KUS,4248,,0,DH8 GL,921,GOH,8,SFJ,9,,0,DH8 GL,921,GOH,8,UAK,7,,0,DH8 GL,921,IKE,\N,SAE,\N,,0,BH2 GL,921,IKE,\N,UMD,8628,,0,BH2 GL,921,IOQ,\N,AGM,7642,,0,BH2 GL,921,IOT,\N,JUU,\N,,0,BH2 GL,921,IOT,\N,UMD,8628,,0,BH2 GL,921,IUI,\N,JUV,5448,,0,BH2 GL,921,IUI,\N,TQA,\N,,0,BH2 GL,921,JAV,3995,GOH,8,,0,DH8 GL,921,JAV,3995,JEG,3997,,0,DH8 GL,921,JAV,3995,JQA,5449,,0,DH8 GL,921,JAV,3995,JUV,5448,,0,DH8 GL,921,JAV,3995,SFJ,9,,0,DH8 GL,921,JEG,3997,JAV,3995,,0,DH8 GL,921,JEG,3997,JHS,5447,,0,DH8 GL,921,JEG,3997,SFJ,9,,0,DH8 GL,921,JFR,5440,GOH,8,,0,DH8 GL,921,JFR,5440,UAK,7,,0,DH8 GL,921,JHS,5447,GOH,8,,0,DH8 GL,921,JHS,5447,JEG,3997,,0,DH8 GL,921,JHS,5447,SFJ,9,,0,DH7 DH8 GL,921,JJU,5442,JNN,5444,,0,BH2 GL,921,JJU,5442,JNS,5445,,0,BH2 GL,921,JJU,5442,LLU,5438,,0,BH2 GL,921,JJU,5442,QFG,\N,,0,BH2 GL,921,JJU,5442,QJH,\N,,0,BH2 GL,921,JJU,5442,QUW,\N,,0,BH2 GL,921,JJU,5442,UAK,7,,0,BH2 GL,921,JNN,5444,JJU,5442,,0,BH2 GL,921,JNN,5444,LLU,5438,,0,BH2 GL,921,JNN,5444,QUW,\N,,0,BH2 GL,921,JNN,5444,XEQ,\N,,0,BH2 GL,921,JNS,5445,JJU,5442,,0,BH2 GL,921,JNS,5445,QFX,\N,,0,BH2 GL,921,JNS,5445,UAK,7,,0,BH2 GL,921,JQA,5449,JAV,3995,,0,DH8 GL,921,JQA,5449,UMD,8628,,0,BH2 GL,921,JSU,5443,GOH,8,,0,DH7 GL,921,JSU,5443,SFJ,9,,0,DH7 GL,921,JUK,\N,UMD,8628,,0,BH2 GL,921,JUU,\N,IOT,\N,,0,BH2 GL,921,JUU,\N,UMD,8628,,0,BH2 GL,921,JUV,5448,AOQ,\N,,0,BH2 GL,921,JUV,5448,IUI,\N,,0,BH2 GL,921,JUV,5448,JAV,3995,,0,DH8 GL,921,JUV,5448,KGQ,\N,,0,BH2 GL,921,JUV,5448,KHQ,\N,,0,BH2 GL,921,JUV,5448,NAQ,5446,,0,DH8 GL,921,JUV,5448,NSQ,\N,,0,BH2 GL,921,JUV,5448,TQA,\N,,0,BH2 GL,921,JUV,5448,UPK,\N,,0,BH2 GL,921,KEF,16,GOH,8,,0,DH8 GL,921,KGQ,\N,JUV,5448,,0,BH2 GL,921,KGQ,\N,UPK,\N,,0,BH2 GL,921,KHQ,\N,JUV,5448,,0,BH2 GL,921,KHQ,\N,NSQ,\N,,0,BH2 GL,921,KUS,4248,AGM,7642,,0,BH2 GL,921,KUS,4248,CNP,5439,,0,DH8 GL,921,KUS,4248,GOH,8,,0,DH8 GL,921,KUS,4248,SFJ,9,,0,DH8 GL,921,KUZ,\N,AGM,7642,,0,BH2 GL,921,LLU,5438,JJU,5442,,0,BH2 GL,921,LLU,5438,JNN,5444,,0,BH2 GL,921,NAQ,5446,JUV,5448,,0,DH8 GL,921,NAQ,5446,SRK,\N,,0,BH2 GL,921,NAQ,5446,THU,10,,0,BH2 GL,921,NIQ,\N,UMD,8628,,0,BH2 GL,921,NSQ,\N,JUV,5448,,0,BH2 GL,921,NSQ,\N,KHQ,\N,,0,BH2 GL,921,OBY,8208,CNP,5439,,0,NDE GL,921,QFG,\N,QOQ,\N,,0,BH2 GL,921,QFN,\N,JNN,5444,,0,BH2 GL,921,QJH,\N,JJU,5442,,0,BH2 GL,921,QOQ,\N,JJU,5442,,0,BH2 GL,921,QUV,\N,QFN,\N,,0,BH2 GL,921,QUW,\N,JJU,5442,,0,BH2 GL,921,QUW,\N,JNN,5444,,0,BH2 GL,921,SAE,\N,IKE,\N,,0,BH2 GL,921,SAE,\N,UMD,8628,,0,BH2 GL,921,SFJ,9,CPH,609,,0,332 GL,921,SFJ,9,GOH,8,,0,DH8 DH7 GL,921,SFJ,9,JAV,3995,,0,DH8 GL,921,SFJ,9,JEG,3997,,0,DH8 GL,921,SFJ,9,JHS,5447,,0,DH7 DH8 GL,921,SFJ,9,JSU,5443,,0,DH7 GL,921,SFJ,9,KUS,4248,,0,DH8 GL,921,SFJ,9,UAK,7,,0,DH8 GL,921,SGG,\N,AGM,7642,,0,BH2 GL,921,SRK,\N,NAQ,5446,,0,BH2 GL,921,SVR,\N,THU,10,,0,BH2 GL,921,THU,10,NAQ,5446,,0,BH2 GL,921,THU,10,SVR,\N,,0,BH2 GL,921,TQA,\N,IUI,\N,,0,BH2 GL,921,TQA,\N,JUV,5448,,0,BH2 GL,921,TQI,\N,AGM,7642,,0,BH2 GL,921,UAK,7,GOH,8,,0,DH8 GL,921,UAK,7,JFR,5440,,0,DH8 GL,921,UAK,7,JJU,5442,,0,BH2 GL,921,UAK,7,JNS,5445,,0,BH2 GL,921,UAK,7,SFJ,9,,0,DH8 GL,921,UMD,8628,IKE,\N,,0,BH2 GL,921,UMD,8628,IOT,\N,,0,BH2 GL,921,UMD,8628,JQA,5449,,0,BH2 GL,921,UMD,8628,JUK,\N,,0,BH2 GL,921,UMD,8628,JUU,\N,,0,BH2 GL,921,UMD,8628,NIQ,\N,,0,BH2 GL,921,UMD,8628,SAE,\N,,0,BH2 GL,921,UPK,\N,JUV,5448,,0,BH2 GL,921,UPK,\N,KGQ,\N,,0,BH2 GL,921,XEQ,\N,QUV,\N,,0,BH2 GQ,1492,ATH,3941,HER,1452,,0,J41 GQ,1492,ATH,3941,KSO,1453,,0,J41 GQ,1492,ATH,3941,KZI,1463,,0,J41 GQ,1492,AXD,1446,JSH,1480,,0,J41 GQ,1492,CFU,1460,PVK,1470,,0,J41 GQ,1492,EFL,1455,PVK,1470,,0,J41 GQ,1492,HER,1452,ATH,3941,,0,J41 GQ,1492,HER,1452,JIK,4191,,0,J41 GQ,1492,HER,1452,KGS,1458,,0,J41 GQ,1492,HER,1452,MJT,1469,,0,J41 GQ,1492,HER,1452,RHO,1472,,0,J41 GQ,1492,JIK,4191,LXS,1465,,0,J41 GQ,1492,JKH,1450,MJT,1469,,0,J41 GQ,1492,JKH,1450,RHO,1472,,0,J41 GQ,1492,JSH,1480,AXD,1446,,0,J41 GQ,1492,JSH,1480,PVK,1470,,0,J41 GQ,1492,KIT,1454,ZTH,1488,,0,J41 GQ,1492,KSO,1453,ATH,3941,,0,J41 GQ,1492,LXS,1465,JIK,4191,,0,J41 GQ,1492,LXS,1465,MJT,1469,,0,J41 GQ,1492,LXS,1465,SKG,1486,,0,J41 GQ,1492,MJT,1469,JKH,1450,,0,J41 GQ,1492,MJT,1469,LXS,1465,,0,J41 GQ,1492,MJT,1469,RHO,1472,,0,J41 GQ,1492,PVK,1470,CFU,1460,,0,J41 GQ,1492,PVK,1470,EFL,1455,,0,J41 GQ,1492,PVK,1470,JSH,1480,,0,J41 GQ,1492,RHO,1472,HER,1452,,0,J41 GQ,1492,RHO,1472,JKH,1450,,0,J41 GQ,1492,RHO,1472,SMI,1476,,0,J41 GQ,1492,SKG,1486,LXS,1465,,0,J41 GQ,1492,SKG,1486,SKU,1482,,0,J41 GQ,1492,SKU,1482,SKG,1486,,0,J41 GQ,1492,SMI,1476,RHO,1472,,0,J41 GQ,1492,ZTH,1488,EFL,1455,,0,J41 GQ,1492,ZTH,1488,KIT,1454,,0,J41 GR,508,ACI,497,GCI,498,,0,BNT GR,508,ACI,497,SOU,495,,0,BNT GR,508,BRS,490,GCI,498,,0,AT7 GR,508,DNR,1405,GCI,498,,0,BNT GR,508,EMA,523,GCI,498,,0,AT7 GR,508,GCI,498,ACI,497,,0,BNT GR,508,GCI,498,BRS,490,,0,AT7 GR,508,GCI,498,DNR,1405,,0,BNT GR,508,GCI,498,EMA,523,,0,AT7 GR,508,GCI,498,JER,499,,0,AT4 AT7 GR,508,GCI,498,LGW,502,,0,E95 AT7 GR,508,GCI,498,MAN,478,,0,AT7 GR,508,GCI,498,STN,548,,0,AT7 GR,508,JER,499,GCI,498,,0,AT4 AT7 GR,508,JER,499,STN,548,,0,AT7 GR,508,LGW,502,GCI,498,,0,E95 AT7 GR,508,MAN,478,GCI,498,,0,AT7 GR,508,SOU,495,ACI,497,,0,BNT GR,508,STN,548,GCI,498,,0,AT7 GR,508,STN,548,JER,499,,0,AT7 GS,690,AAT,6946,URC,3399,,0,E90 GS,690,AKU,6404,URC,3399,,0,320 E90 GS,690,AQG,6427,HAK,4120,,0,E90 GS,690,AQG,6427,PEK,3364,,0,E90 GS,690,BAV,6346,TSN,3368,,0,ERJ GS,690,BAV,6346,XIY,3379,,0,ERJ GS,690,BHY,6351,HAK,4120,,0,E90 GS,690,BHY,6351,LYA,4148,,0,E90 GS,690,BPL,11498,URC,3399,,0,E90 GS,690,CGD,6352,HAK,4120,,0,E90 GS,690,CGD,6352,XIY,3379,,0,E90 GS,690,CGD,6352,XMN,3383,,0,E90 GS,690,CGO,3375,DSN,6434,,0,E90 GS,690,CGO,3375,HET,6345,,0,E90 GS,690,CGO,3375,HFE,3389,,0,E90 GS,690,CGO,3375,HGH,3386,,0,E90 GS,690,CGO,3375,KHN,3384,,0,320 GS,690,CGO,3375,KWE,3394,,0,E90 GS,690,CGO,3375,KWL,3372,,0,E90 GS,690,CGO,3375,NNG,3373,,0,E90 GS,690,CGO,3375,SWA,4302,,0,E90 GS,690,CGO,3375,SYX,4030,,0,321 GS,690,CGO,3375,TAO,3390,,0,E90 GS,690,CGO,3375,TSN,3368,,0,E90 320 GS,690,CGO,3375,URC,3399,,0,321 GS,690,CGQ,4380,TSN,3368,,0,E90 GS,690,CIF,6342,HET,6345,,0,E90 ERJ GS,690,CIF,6342,HLD,3366,,0,E90 GS,690,CIF,6342,SHE,4144,,0,ERJ GS,690,CIF,6342,TSN,3368,,0,E90 GS,690,CIH,6343,TYN,3369,,0,ERJ GS,690,CJU,2370,TSN,3368,,0,321 GS,690,CKG,3393,KWE,3394,,0,E90 GS,690,CKG,3393,TSN,3368,,0,321 320 GS,690,CKG,3393,XIY,3379,,0,320 321 GS,690,CSX,3371,DSN,6434,,0,E90 GS,690,CSX,3371,HAK,4120,,0,E90 GS,690,CSX,3371,LYI,6385,,0,E90 GS,690,CSX,3371,NNG,3373,,0,E90 GS,690,CSX,3371,SWA,4302,,0,E90 GS,690,CSX,3371,TSN,3368,,0,E90 GS,690,CSX,3371,XIY,3379,,0,E90 GS,690,CSX,3371,ZYI,9846,,0,E90 GS,690,DAT,6344,SHE,4144,,0,E90 GS,690,DAT,6344,XIY,3379,,0,E90 GS,690,DLC,3404,LYI,6385,,0,E90 GS,690,DLC,3404,TSN,3368,,0,E90 320 GS,690,DNH,4308,LHW,3378,,0,ERJ GS,690,DSN,6434,CGO,3375,,0,E90 GS,690,DSN,6434,CSX,3371,,0,E90 GS,690,DSN,6434,HET,6345,,0,ERJ GS,690,DSN,6434,HGH,3386,,0,E90 GS,690,DSN,6434,INC,4085,,0,ERJ GS,690,DSN,6434,NKG,3388,,0,E90 GS,690,DSN,6434,SJW,6347,,0,ERJ GS,690,DSN,6434,TSN,3368,,0,E90 ERJ GS,690,DSN,6434,URC,3399,,0,E90 GS,690,DSN,6434,WUH,3376,,0,ERJ GS,690,DSN,6434,XIY,3379,,0,E90 ERJ GS,690,ERL,10160,HET,6345,,0,ERJ GS,690,FOC,3385,HFE,3389,,0,E90 GS,690,FOC,3385,HIA,7898,,0,ERJ GS,690,FOC,3385,TAO,3390,,0,E90 GS,690,FUG,7503,TSN,3368,,0,E90 GS,690,FUG,7503,WNZ,6392,,0,E90 GS,690,FUG,7503,XIY,3379,,0,E90 GS,690,FUG,7503,XMN,3383,,0,E90 GS,690,HAK,4120,AQG,6427,,0,E90 GS,690,HAK,4120,BHY,6351,,0,E90 GS,690,HAK,4120,CGD,6352,,0,E90 GS,690,HAK,4120,CSX,3371,,0,E90 GS,690,HAK,4120,KWE,3394,,0,E90 GS,690,HAK,4120,KWL,3372,,0,E90 GS,690,HAK,4120,LZO,6399,,0,E90 GS,690,HAK,4120,NNG,3373,,0,E90 320 GS,690,HAK,4120,SWA,4302,,0,E90 GS,690,HAK,4120,TXN,6387,,0,E90 GS,690,HAK,4120,ZHA,6357,,0,E90 GS,690,HAK,4120,ZUH,6355,,0,E90 GS,690,HAK,4120,ZYI,9846,,0,E90 GS,690,HET,6345,CGO,3375,,0,E90 GS,690,HET,6345,CIF,6342,,0,ERJ E90 GS,690,HET,6345,DSN,6434,,0,ERJ GS,690,HET,6345,ERL,10160,,0,ERJ GS,690,HET,6345,HLD,3366,,0,E90 GS,690,HET,6345,HLH,6349,,0,ERJ GS,690,HET,6345,NZH,6954,,0,E90 GS,690,HET,6345,RLK,8630,,0,E90 ERJ GS,690,HET,6345,TGO,6348,,0,ERJ E90 GS,690,HET,6345,TSN,3368,,0,ERJ GS,690,HET,6345,WUA,6955,,0,ERJ GS,690,HET,6345,XIL,6350,,0,ERJ GS,690,HET,6345,XIY,3379,,0,E90 GS,690,HFE,3389,CGO,3375,,0,E90 GS,690,HFE,3389,FOC,3385,,0,E90 GS,690,HFE,3389,NNG,3373,,0,E90 GS,690,HFE,3389,SWA,4302,,0,E90 GS,690,HFE,3389,TAO,3390,,0,E90 GS,690,HFE,3389,XIY,3379,,0,E90 GS,690,HGH,3386,CGO,3375,,0,E90 GS,690,HGH,3386,DSN,6434,,0,E90 GS,690,HGH,3386,SWA,4302,,0,E90 GS,690,HGH,3386,TSN,3368,,0,E90 GS,690,HGH,3386,WUH,3376,,0,E90 GS,690,HIA,7898,FOC,3385,,0,ERJ GS,690,HIA,7898,TSN,3368,,0,ERJ GS,690,HIA,7898,WNZ,6392,,0,ERJ GS,690,HIA,7898,XIY,3379,,0,E90 GS,690,HLD,3366,CIF,6342,,0,E90 GS,690,HLD,3366,HET,6345,,0,E90 GS,690,HLD,3366,HRB,3400,,0,E90 GS,690,HLD,3366,JGD,8979,,0,E90 GS,690,HLH,6349,HET,6345,,0,ERJ GS,690,HLH,6349,SHE,4144,,0,ERJ GS,690,HMI,6743,URC,3399,,0,E90 GS,690,HMI,6743,XIY,3379,,0,E90 GS,690,HRB,3400,HLD,3366,,0,E90 GS,690,HTN,3398,URC,3399,,0,320 GS,690,ICN,3930,TSN,3368,,0,321 GS,690,INC,4085,DSN,6434,,0,ERJ GS,690,INC,4085,KWE,3394,,0,E90 GS,690,INC,4085,LHW,3378,,0,ERJ GS,690,INC,4085,RLK,8630,,0,ERJ GS,690,INC,4085,TYN,3369,,0,ERJ GS,690,IQN,6365,LHW,3378,,0,E90 GS,690,IQN,6365,XIY,3379,,0,E90 GS,690,JGD,8979,HLD,3366,,0,E90 GS,690,JGN,6432,LHW,3378,,0,ERJ GS,690,JIC,11473,LHW,3378,,0,ERJ GS,690,JIC,11473,XIY,3379,,0,ERJ GS,690,JJN,6386,NNG,3373,,0,E90 GS,690,JJN,6386,YIW,6394,,0,E90 GS,690,JMU,6411,SHE,4144,,0,E90 GS,690,KCA,6406,URC,3399,,0,E90 GS,690,KHG,3397,URC,3399,,0,320 GS,690,KHN,3384,CGO,3375,,0,320 GS,690,KHN,3384,KOW,6379,,0,ERJ GS,690,KHN,3384,NNG,3373,,0,E90 GS,690,KHN,3384,SJW,6347,,0,ERJ GS,690,KHN,3384,TSN,3368,,0,ERJ GS,690,KHN,3384,WNZ,6392,,0,E90 GS,690,KMG,3382,NNG,3373,,0,E90 GS,690,KMG,3382,XIY,3379,,0,320 GS,690,KMG,3382,ZHA,6357,,0,E90 GS,690,KOW,6379,KHN,3384,,0,ERJ GS,690,KOW,6379,ZUH,6355,,0,E90 GS,690,KRL,6407,URC,3399,,0,E90 GS,690,KRY,6408,URC,3399,,0,E90 GS,690,KWE,3394,CGO,3375,,0,E90 GS,690,KWE,3394,CKG,3393,,0,E90 GS,690,KWE,3394,HAK,4120,,0,E90 GS,690,KWE,3394,INC,4085,,0,E90 GS,690,KWE,3394,KWL,3372,,0,E90 GS,690,KWE,3394,MIG,6400,,0,E90 GS,690,KWE,3394,NNG,3373,,0,E90 GS,690,KWE,3394,TEN,6963,,0,E90 GS,690,KWE,3394,TYN,3369,,0,E90 GS,690,KWE,3394,WUH,3376,,0,E90 GS,690,KWE,3394,XIY,3379,,0,E90 321 GS,690,KWL,3372,CGO,3375,,0,E90 GS,690,KWL,3372,HAK,4120,,0,E90 GS,690,KWL,3372,KWE,3394,,0,E90 GS,690,KWL,3372,LHW,3378,,0,E90 GS,690,KWL,3372,XIY,3379,,0,321 GS,690,KWL,3372,ZUH,6355,,0,E90 GS,690,LHW,3378,DNH,4308,,0,ERJ GS,690,LHW,3378,INC,4085,,0,ERJ GS,690,LHW,3378,IQN,6365,,0,E90 GS,690,LHW,3378,JGN,6432,,0,ERJ GS,690,LHW,3378,JIC,11473,,0,ERJ GS,690,LHW,3378,KWL,3372,,0,E90 GS,690,LHW,3378,TYN,3369,,0,ERJ GS,690,LHW,3378,XIY,3379,,0,ERJ GS,690,LHW,3378,YZY,7987,,0,ERJ GS,690,LYA,4148,BHY,6351,,0,E90 GS,690,LYI,6385,CSX,3371,,0,E90 GS,690,LYI,6385,DLC,3404,,0,E90 GS,690,LYI,6385,WNZ,6392,,0,E90 GS,690,LYI,6385,WUH,3376,,0,E90 GS,690,LYI,6385,YIW,6394,,0,E90 GS,690,LZO,6399,HAK,4120,,0,E90 GS,690,LZO,6399,NNG,3373,,0,E90 GS,690,LZO,6399,XIY,3379,,0,E90 GS,690,MDG,3402,SHE,4144,,0,E90 GS,690,MIG,6400,KWE,3394,,0,E90 GS,690,MWX,4189,TSN,3368,,0,321 GS,690,NAO,6401,XIY,3379,,0,E90 GS,690,NGB,3387,SWA,4302,,0,E90 GS,690,NGB,3387,TSN,3368,,0,321 E90 GS,690,NKG,3388,DSN,6434,,0,E90 GS,690,NKG,3388,SWA,4302,,0,E90 GS,690,NKG,3388,XMN,3383,,0,E90 GS,690,NLT,9386,URC,3399,,0,E90 GS,690,NNG,3373,CGO,3375,,0,E90 GS,690,NNG,3373,CSX,3371,,0,E90 GS,690,NNG,3373,HAK,4120,,0,E90 320 GS,690,NNG,3373,HFE,3389,,0,E90 GS,690,NNG,3373,JJN,6386,,0,E90 GS,690,NNG,3373,KHN,3384,,0,E90 GS,690,NNG,3373,KMG,3382,,0,E90 GS,690,NNG,3373,KWE,3394,,0,E90 GS,690,NNG,3373,LZO,6399,,0,E90 GS,690,NNG,3373,WNZ,6392,,0,E90 GS,690,NNG,3373,WUH,3376,,0,320 E90 GS,690,NNG,3373,XIY,3379,,0,E90 320 GS,690,NZH,6954,HET,6345,,0,E90 GS,690,PEK,3364,AQG,6427,,0,E90 GS,690,RLK,8630,HET,6345,,0,E90 ERJ GS,690,RLK,8630,INC,4085,,0,ERJ GS,690,RLK,8630,XIY,3379,,0,E90 GS,690,SHA,3391,TSN,3368,,0,321 GS,690,SHE,4144,CIF,6342,,0,ERJ GS,690,SHE,4144,DAT,6344,,0,E90 GS,690,SHE,4144,HLH,6349,,0,ERJ GS,690,SHE,4144,JMU,6411,,0,E90 GS,690,SHE,4144,MDG,3402,,0,E90 GS,690,SHE,4144,TSN,3368,,0,E90 GS,690,SJW,6347,DSN,6434,,0,ERJ GS,690,SJW,6347,KHN,3384,,0,ERJ GS,690,SJW,6347,TAO,3390,,0,ERJ GS,690,SWA,4302,CGO,3375,,0,E90 GS,690,SWA,4302,CSX,3371,,0,E90 GS,690,SWA,4302,HAK,4120,,0,E90 GS,690,SWA,4302,HFE,3389,,0,E90 GS,690,SWA,4302,HGH,3386,,0,E90 GS,690,SWA,4302,NGB,3387,,0,E90 GS,690,SWA,4302,NKG,3388,,0,E90 GS,690,SWA,4302,YIW,6394,,0,E90 GS,690,SWA,4302,ZHA,6357,,0,E90 GS,690,SYX,4030,CGO,3375,,0,321 GS,690,SYX,4030,TSN,3368,,0,321 GS,690,SYX,4030,WUH,3376,,0,321 GS,690,SYX,4030,ZYI,9846,,0,E90 GS,690,TAO,3390,CGO,3375,,0,E90 GS,690,TAO,3390,FOC,3385,,0,E90 GS,690,TAO,3390,HFE,3389,,0,E90 GS,690,TAO,3390,SJW,6347,,0,ERJ GS,690,TAO,3390,TSN,3368,,0,E90 GS,690,TAO,3390,WNZ,6392,,0,E90 GS,690,TCG,6752,URC,3399,,0,E90 GS,690,TEN,6963,KWE,3394,,0,E90 GS,690,TGO,6348,HET,6345,,0,ERJ E90 GS,690,TGO,6348,TNA,4108,,0,ERJ GS,690,TNA,4108,TGO,6348,,0,ERJ GS,690,TSN,3368,BAV,6346,,0,ERJ GS,690,TSN,3368,CGO,3375,,0,E90 320 GS,690,TSN,3368,CGQ,4380,,0,E90 GS,690,TSN,3368,CIF,6342,,0,E90 GS,690,TSN,3368,CJU,2370,,0,321 GS,690,TSN,3368,CKG,3393,,0,320 321 GS,690,TSN,3368,CSX,3371,,0,E90 GS,690,TSN,3368,DLC,3404,,0,E90 320 GS,690,TSN,3368,DSN,6434,,0,E90 ERJ GS,690,TSN,3368,FUG,7503,,0,E90 GS,690,TSN,3368,HET,6345,,0,ERJ GS,690,TSN,3368,HGH,3386,,0,E90 GS,690,TSN,3368,HIA,7898,,0,ERJ GS,690,TSN,3368,ICN,3930,,0,321 GS,690,TSN,3368,KHN,3384,,0,ERJ GS,690,TSN,3368,MWX,4189,,0,321 GS,690,TSN,3368,NGB,3387,,0,321 E90 GS,690,TSN,3368,SHA,3391,,0,321 GS,690,TSN,3368,SHE,4144,,0,E90 GS,690,TSN,3368,SYX,4030,,0,321 GS,690,TSN,3368,TAO,3390,,0,E90 GS,690,TSN,3368,TXN,6387,,0,E90 GS,690,TSN,3368,TYN,3369,,0,ERJ GS,690,TSN,3368,URC,3399,,0,320 GS,690,TSN,3368,WUH,3376,,0,E90 320 321 GS,690,TSN,3368,XIY,3379,,0,320 321 E90 GS,690,TSN,3368,YNT,3392,,0,ERJ E90 GS,690,TXN,6387,HAK,4120,,0,E90 GS,690,TXN,6387,TSN,3368,,0,E90 GS,690,TYN,3369,CIH,6343,,0,ERJ GS,690,TYN,3369,INC,4085,,0,ERJ GS,690,TYN,3369,KWE,3394,,0,E90 GS,690,TYN,3369,LHW,3378,,0,ERJ GS,690,TYN,3369,TSN,3368,,0,ERJ GS,690,URC,3399,AAT,6946,,0,E90 GS,690,URC,3399,AKU,6404,,0,320 E90 GS,690,URC,3399,BPL,11498,,0,E90 GS,690,URC,3399,CGO,3375,,0,321 GS,690,URC,3399,DSN,6434,,0,E90 GS,690,URC,3399,HMI,6743,,0,E90 GS,690,URC,3399,HTN,3398,,0,320 GS,690,URC,3399,KCA,6406,,0,E90 GS,690,URC,3399,KHG,3397,,0,320 GS,690,URC,3399,KRL,6407,,0,E90 GS,690,URC,3399,KRY,6408,,0,E90 GS,690,URC,3399,NLT,9386,,0,E90 GS,690,URC,3399,TCG,6752,,0,E90 GS,690,URC,3399,TSN,3368,,0,320 GS,690,URC,3399,YIN,6409,,0,E90 320 GS,690,UYN,6368,XIY,3379,,0,E90 GS,690,WNZ,6392,FUG,7503,,0,E90 GS,690,WNZ,6392,HIA,7898,,0,ERJ GS,690,WNZ,6392,KHN,3384,,0,E90 GS,690,WNZ,6392,LYI,6385,,0,E90 GS,690,WNZ,6392,NNG,3373,,0,E90 GS,690,WNZ,6392,TAO,3390,,0,E90 GS,690,WUA,6955,HET,6345,,0,ERJ GS,690,WUH,3376,DSN,6434,,0,ERJ GS,690,WUH,3376,HGH,3386,,0,E90 GS,690,WUH,3376,KWE,3394,,0,E90 GS,690,WUH,3376,LYI,6385,,0,E90 GS,690,WUH,3376,NNG,3373,,0,320 E90 GS,690,WUH,3376,SYX,4030,,0,321 GS,690,WUH,3376,TSN,3368,,0,E90 320 321 GS,690,XIL,6350,HET,6345,,0,ERJ GS,690,XIY,3379,BAV,6346,,0,ERJ GS,690,XIY,3379,CGD,6352,,0,E90 GS,690,XIY,3379,CKG,3393,,0,321 320 GS,690,XIY,3379,CSX,3371,,0,E90 GS,690,XIY,3379,DAT,6344,,0,E90 GS,690,XIY,3379,DSN,6434,,0,E90 ERJ GS,690,XIY,3379,FUG,7503,,0,E90 GS,690,XIY,3379,HET,6345,,0,E90 GS,690,XIY,3379,HFE,3389,,0,E90 GS,690,XIY,3379,HIA,7898,,0,E90 GS,690,XIY,3379,HMI,6743,,0,E90 GS,690,XIY,3379,IQN,6365,,0,E90 GS,690,XIY,3379,JIC,11473,,0,ERJ GS,690,XIY,3379,KMG,3382,,0,320 GS,690,XIY,3379,KWE,3394,,0,E90 321 GS,690,XIY,3379,KWL,3372,,0,321 GS,690,XIY,3379,LHW,3378,,0,ERJ GS,690,XIY,3379,LZO,6399,,0,E90 GS,690,XIY,3379,NAO,6401,,0,E90 GS,690,XIY,3379,NNG,3373,,0,320 E90 GS,690,XIY,3379,RLK,8630,,0,E90 GS,690,XIY,3379,TSN,3368,,0,E90 320 321 GS,690,XIY,3379,UYN,6368,,0,E90 GS,690,XIY,3379,YIH,6361,,0,ERJ GS,690,XIY,3379,YZY,7987,,0,ERJ GS,690,XIY,3379,ZYI,9846,,0,E90 GS,690,XMN,3383,CGD,6352,,0,E90 GS,690,XMN,3383,FUG,7503,,0,E90 GS,690,XMN,3383,NKG,3388,,0,E90 GS,690,XMN,3383,ZYI,9846,,0,E90 GS,690,YIH,6361,XIY,3379,,0,ERJ GS,690,YIN,6409,URC,3399,,0,E90 320 GS,690,YIW,6394,JJN,6386,,0,E90 GS,690,YIW,6394,LYI,6385,,0,E90 GS,690,YIW,6394,SWA,4302,,0,E90 GS,690,YNT,3392,TSN,3368,,0,ERJ E90 GS,690,YZY,7987,LHW,3378,,0,ERJ GS,690,YZY,7987,XIY,3379,,0,ERJ GS,690,ZHA,6357,HAK,4120,,0,E90 GS,690,ZHA,6357,KMG,3382,,0,E90 GS,690,ZHA,6357,SWA,4302,,0,E90 GS,690,ZUH,6355,HAK,4120,,0,E90 GS,690,ZUH,6355,KOW,6379,,0,E90 GS,690,ZUH,6355,KWL,3372,,0,E90 GS,690,ZYI,9846,CSX,3371,,0,E90 GS,690,ZYI,9846,HAK,4120,,0,E90 GS,690,ZYI,9846,SYX,4030,,0,E90 GS,690,ZYI,9846,XIY,3379,,0,E90 GS,690,ZYI,9846,XMN,3383,,0,E90 GV,386,AKB,7195,DUT,3860,,0,BEC GV,386,AKN,3794,DLG,3460,,0,BEC GV,386,AKN,3794,KCG,9745,,0,BEC GV,386,AKN,3794,KLL,7102,,0,BEC GV,386,AKN,3794,PIP,7158,,0,BEC GV,386,AKN,3794,WSN,7159,,0,BEC GV,386,ANC,3774,ENA,3628,,0,BEC GV,386,BET,3599,EMK,7087,,0,BEC GV,386,CDB,3854,KFP,7202,,0,BEC GV,386,CDB,3854,KVC,6765,,0,BEC GV,386,CDB,3854,NLG,7203,,0,BEC GV,386,DLG,3460,AKN,3794,,0,BEC GV,386,DUT,3860,AKB,7195,,0,BEC GV,386,DUT,3860,IKO,7196,,0,BEC GV,386,DUT,3860,KQA,6134,,0,BEC GV,386,EGX,7154,AKN,3794,,0,BEC GV,386,EMK,7087,BET,3599,,0,BEC GV,386,EMK,7087,KOT,7207,,0,BEC GV,386,ENA,3628,ANC,3774,,0,BEC GV,386,IGG,6763,AKN,3794,,0,BEC GV,386,IKO,7196,DUT,3860,,0,BEC GV,386,KCG,9745,KCL,7155,,0,BEC GV,386,KCL,7155,KCQ,7153,,0,BEC GV,386,KCQ,7153,KPV,7157,,0,BEC GV,386,KFP,7202,CDB,3854,,0,BEC GV,386,KLL,7102,IGG,6763,,0,BEC GV,386,KPV,7157,AKN,3794,,0,BEC GV,386,KQA,6134,DUT,3860,,0,BEC GV,386,KVC,6765,CDB,3854,,0,BEC GV,386,NLG,7203,CDB,3854,,0,BEC GV,386,PIP,7158,UGB,\N,,0,BEC GV,386,PTH,6766,AKN,3794,,0,BEC GV,386,UGB,\N,PTH,6766,,0,BEC GV,386,WSN,7159,EGX,7154,,0,BEC GY,9620,DME,4029,FRU,2912,,0,733 GY,9620,FRU,2912,DME,4029,,0,733 GZ,4234,AIT,1958,AIU,5861,,0,EMB GZ,4234,AIT,1958,RAR,1959,,0,SF3 GZ,4234,AIU,5861,RAR,1959,,0,EMB GZ,4234,MGS,5862,RAR,1959,,0,EMB GZ,4234,MOI,5865,RAR,1959,,0,EMB GZ,4234,MUK,5864,RAR,1959,,0,EMB GZ,4234,PPT,4075,RAR,1959,Y,0,AT5 GZ,4234,RAR,1959,AIT,1958,,0,SF3 EMB GZ,4234,RAR,1959,AIU,5861,,0,EMB GZ,4234,RAR,1959,MGS,5862,,0,EMB GZ,4234,RAR,1959,MOI,5865,,0,EMB GZ,4234,RAR,1959,MUK,5864,,0,EMB GZ,4234,RAR,1959,PPT,4075,Y,0,AT5 H2,4737,ANF,2651,CJC,2645,,0,320 319 H2,4737,ANF,2651,IQQ,2649,,0,319 320 H2,4737,ANF,2651,LSC,2662,,0,319 320 H2,4737,ANF,2651,SCL,2650,,0,320 319 H2,4737,ARI,2641,ANF,2651,,0,319 320 H2,4737,ARI,2641,IQQ,2649,,0,319 320 H2,4737,ARI,2641,LPB,2762,,0,320 H2,4737,BBA,2642,PMC,2665,,0,319 320 H2,4737,BBA,2642,PUQ,2647,,0,319 H2,4737,CCP,2656,PMC,2665,,0,319 320 H2,4737,CCP,2656,SCL,2650,,0,319 320 H2,4737,CCP,2656,ZAL,2667,,0,319 H2,4737,CCP,2656,ZCO,2664,,0,319 H2,4737,CJC,2645,ANF,2651,,0,319 H2,4737,CJC,2645,CPO,4312,,0,319 H2,4737,CJC,2645,LSC,2662,,0,319 H2,4737,CJC,2645,SCL,2650,,0,319 320 H2,4737,CPO,4312,CJC,2645,,0,319 H2,4737,CPO,4312,LSC,2662,,0,319 H2,4737,CPO,4312,SCL,2650,,0,320 319 H2,4737,EZE,3988,SCL,2650,,0,319 H2,4737,GRU,2564,SCL,2650,,0,319 H2,4737,IQQ,2649,ANF,2651,,0,319 320 H2,4737,IQQ,2649,ARI,2641,,0,320 319 H2,4737,IQQ,2649,SCL,2650,,0,319 320 H2,4737,LPB,2762,ARI,2641,,0,320 H2,4737,LSC,2662,ANF,2651,,0,319 320 H2,4737,LSC,2662,CJC,2645,,0,319 H2,4737,LSC,2662,CPO,4312,,0,319 H2,4737,LSC,2662,SCL,2650,,0,319 320 H2,4737,PMC,2665,BBA,2642,,0,319 320 H2,4737,PMC,2665,CCP,2656,,0,319 320 H2,4737,PMC,2665,PUQ,2647,,0,319 H2,4737,PMC,2665,SCL,2650,,0,319 320 H2,4737,PUQ,2647,BBA,2642,,0,319 H2,4737,PUQ,2647,PMC,2665,,0,319 H2,4737,SCL,2650,ANF,2651,,0,319 320 H2,4737,SCL,2650,CCP,2656,,0,319 320 H2,4737,SCL,2650,CJC,2645,,0,319 320 H2,4737,SCL,2650,CPO,4312,,0,320 319 H2,4737,SCL,2650,EZE,3988,,0,319 H2,4737,SCL,2650,GRU,2564,,0,319 H2,4737,SCL,2650,IQQ,2649,,0,320 319 H2,4737,SCL,2650,LSC,2662,,0,319 320 H2,4737,SCL,2650,PMC,2665,,0,319 320 H2,4737,SCL,2650,ZCO,2664,,0,319 H2,4737,ZAL,2667,CCP,2656,,0,319 H2,4737,ZCO,2664,CCP,2656,,0,319 H2,4737,ZCO,2664,SCL,2650,,0,319 H7,2094,EBB,1187,RUA,5709,,0,L4T H7,2094,RUA,5709,EBB,1187,,0,L4T HA,2688,BNE,3320,HNL,3728,,0,763 HA,2688,CTS,2287,HNL,3728,,0,763 HA,2688,FUK,2305,HNL,3728,,0,763 HA,2688,HND,2359,HNL,3728,,0,332 HA,2688,HNL,3728,AKL,2006,,0,332 HA,2688,HNL,3728,BNE,3320,,0,763 HA,2688,HNL,3728,FUK,2305,,0,763 HA,2688,HNL,3728,HND,2359,,0,332 HA,2688,HNL,3728,ICN,3930,,0,332 HA,2688,HNL,3728,ITO,3415,,0,717 HA,2688,HNL,3728,JFK,3797,,0,332 HA,2688,HNL,3728,KIX,3992,,0,332 HA,2688,HNL,3728,KOA,3514,,0,717 HA,2688,HNL,3728,LAS,3877,,0,332 HA,2688,HNL,3728,LAX,3484,,0,332 HA,2688,HNL,3728,LIH,3602,,0,717 HA,2688,HNL,3728,LNY,3851,,0,AT5 HA,2688,HNL,3728,MKK,3705,,0,AT5 HA,2688,HNL,3728,OAK,3453,,0,763 HA,2688,HNL,3728,OGG,3456,,0,717 HA,2688,HNL,3728,PDX,3720,,0,332 HA,2688,HNL,3728,PEK,3364,,0,332 HA,2688,HNL,3728,PHX,3462,,0,763 HA,2688,HNL,3728,PPG,1970,,0,763 HA,2688,HNL,3728,PPT,4075,,0,332 HA,2688,HNL,3728,SAN,3731,,0,332 HA,2688,HNL,3728,SDJ,2347,,0,763 HA,2688,HNL,3728,SEA,3577,,0,332 HA,2688,HNL,3728,SFO,3469,,0,332 HA,2688,HNL,3728,SMF,3817,,0,763 HA,2688,HNL,3728,SYD,3361,,0,332 HA,2688,HNL,3728,TPE,2276,,0,333 HA,2688,ICN,3930,HNL,3728,,0,332 HA,2688,ITO,3415,HNL,3728,,0,717 HA,2688,ITO,3415,OGG,3456,,0,717 HA,2688,JFK,3797,HNL,3728,,0,332 HA,2688,JFK,3797,LAS,3877,Y,0,320 HA,2688,KIX,3992,HNL,3728,,0,332 HA,2688,KOA,3514,HNL,3728,,0,717 HA,2688,KOA,3514,OGG,3456,,0,717 HA,2688,LAS,3877,HNL,3728,,0,332 HA,2688,LAS,3877,JFK,3797,Y,0,320 HA,2688,LAS,3877,SFO,3469,Y,0,320 HA,2688,LAX,3484,HNL,3728,,0,332 HA,2688,LAX,3484,OGG,3456,,0,763 HA,2688,LIH,3602,HNL,3728,,0,717 HA,2688,LIH,3602,OGG,3456,,0,717 HA,2688,LNY,3851,HNL,3728,,0,AT5 HA,2688,MKK,3705,HNL,3728,,0,AT5 HA,2688,OAK,3453,HNL,3728,,0,763 HA,2688,OAK,3453,OGG,3456,,0,763 HA,2688,OGG,3456,HNL,3728,,0,717 HA,2688,OGG,3456,ITO,3415,,0,717 HA,2688,OGG,3456,KOA,3514,,0,717 HA,2688,OGG,3456,LAX,3484,,0,763 HA,2688,OGG,3456,LIH,3602,,0,717 HA,2688,OGG,3456,OAK,3453,,0,763 HA,2688,OGG,3456,SEA,3577,,0,332 HA,2688,OGG,3456,SJC,3748,,0,763 HA,2688,PDX,3720,HNL,3728,,0,332 HA,2688,PEK,3364,HNL,3728,,0,332 HA,2688,PHX,3462,HNL,3728,,0,763 HA,2688,PPG,1970,HNL,3728,,0,763 HA,2688,PPT,4075,HNL,3728,,0,332 HA,2688,SAN,3731,HNL,3728,,0,332 HA,2688,SDJ,2347,CTS,2287,,0,763 HA,2688,SEA,3577,HNL,3728,,0,332 HA,2688,SEA,3577,OGG,3456,,0,332 HA,2688,SFO,3469,HNL,3728,,0,332 HA,2688,SFO,3469,LAS,3877,Y,0,320 HA,2688,SJC,3748,OGG,3456,,0,763 HA,2688,SMF,3817,HNL,3728,,0,763 HA,2688,SYD,3361,HNL,3728,,0,332 HA,2688,TPE,2276,HNL,3728,,0,333 HD,2765,AKJ,2299,HND,2359,,0,735 763 HD,2765,CTS,2287,FKS,5999,,0,735 HD,2765,CTS,2287,HND,2359,,0,763 735 HD,2765,CTS,2287,KIJ,4381,,0,735 HD,2765,CTS,2287,KMQ,2322,,0,735 HD,2765,CTS,2287,OKJ,2327,,0,735 HD,2765,CTS,2287,SDJ,2347,,0,735 HD,2765,CTS,2287,TOY,2324,,0,735 HD,2765,CTS,2287,UKB,3943,,0,735 HD,2765,FKS,5999,CTS,2287,,0,735 HD,2765,HKD,2288,HND,2359,,0,763 HD,2765,HND,2359,AKJ,2299,,0,735 763 HD,2765,HND,2359,CTS,2287,,0,763 735 HD,2765,HND,2359,HKD,2288,,0,763 HD,2765,HND,2359,KUH,5994,,0,735 HD,2765,HND,2359,MMB,2290,,0,735 HD,2765,HND,2359,OBO,2286,,0,735 HD,2765,KIJ,4381,CTS,2287,,0,735 HD,2765,KMQ,2322,CTS,2287,,0,735 HD,2765,KUH,5994,HND,2359,,0,735 HD,2765,MMB,2290,HND,2359,,0,735 HD,2765,OBO,2286,HND,2359,,0,735 HD,2765,OKJ,2327,CTS,2287,,0,735 HD,2765,SDJ,2347,CTS,2287,,0,735 HD,2765,TOY,2324,CTS,2287,,0,735 HD,2765,UKB,3943,CTS,2287,,0,735 HF,2682,ABJ,253,ACC,248,,0,E70 319 HF,2682,ABJ,253,BKO,1044,,0,319 HF,2682,ABJ,253,CKY,4162,,0,E70 HF,2682,ABJ,253,DKR,1084,,0,319 HF,2682,ABJ,253,DLA,897,,0,319 HF,2682,ABJ,253,LBV,970,,0,319 HF,2682,ABJ,253,LFW,298,,0,E70 319 HF,2682,ABJ,253,OUA,246,,0,E70 HF,2682,ACC,248,ABJ,253,,0,319 E70 HF,2682,ACC,248,COO,245,,0,E70 319 HF,2682,BKO,1044,ABJ,253,,0,319 HF,2682,BZV,883,LBV,970,,0,319 HF,2682,CKY,4162,ABJ,253,,0,E70 HF,2682,COO,245,ABJ,253,,0,E70 HF,2682,COO,245,ACC,248,,0,319 E70 HF,2682,COO,245,LFW,298,,0,E70 HF,2682,DKR,1084,ABJ,253,,0,319 HF,2682,DLA,897,ABJ,253,,0,319 HF,2682,LBV,970,ABJ,253,,0,319 HF,2682,LBV,970,BZV,883,,0,319 HF,2682,LBV,970,PNR,886,,0,319 HF,2682,LFW,298,ABJ,253,,0,E70 319 HF,2682,LFW,298,COO,245,,0,E70 HF,2682,OUA,246,ABJ,253,,0,E70 HF,2682,PNR,886,LBV,970,,0,319 HG,3661,ACE,1055,FUE,1051,,0,321 320 HG,3661,AGP,1230,VIE,1613,,0,321 320 HG,3661,ARN,737,VIE,1613,,0,E90 HG,3661,AYT,1688,GRZ,1609,,0,321 HG,3661,AYT,1688,SZG,1612,,0,321 HG,3661,AYT,1688,VIE,1613,,0,321 HG,3661,BCN,1218,VIE,1613,,0,320 321 HG,3661,CDG,1382,VIE,1613,,0,320 HG,3661,CFU,1460,VIE,1613,,0,320 HG,3661,CHQ,1474,VIE,1613,,0,320 HG,3661,CLY,1322,FMM,3986,,0,320 HG,3661,CLY,1322,SZG,1612,,0,320 HG,3661,CPH,609,VIE,1613,,0,E90 HG,3661,DME,4029,VIE,1613,,0,320 E90 HG,3661,FCO,1555,VIE,1613,,0,320 E90 321 HG,3661,FLR,1563,VIE,1613,,0,DH4 HG,3661,FMM,3986,CLY,1322,,0,320 HG,3661,FNC,4091,VIE,1613,,0,321 HG,3661,FRA,340,VIE,1613,,0,E90 320 HG,3661,FUE,1051,SZG,1612,,0,320 HG,3661,FUE,1051,VIE,1613,,0,321 HG,3661,GRZ,1609,AYT,1688,,0,321 HG,3661,GRZ,1609,HER,1452,,0,320 HG,3661,GRZ,1609,PMI,3998,,0,320 HG,3661,GRZ,1609,TFS,1056,,0,320 HG,3661,HER,1452,GRZ,1609,,0,320 HG,3661,HER,1452,LNZ,1611,,0,321 HG,3661,HER,1452,SZG,1612,,0,321 HG,3661,HER,1452,VIE,1613,,0,320 321 HG,3661,HRG,1130,SZG,1612,,0,320 321 HG,3661,HRG,1130,VIE,1613,,0,320 321 HG,3661,INN,1610,PMI,3998,,0,320 HG,3661,JMK,1468,VIE,1613,,0,320 321 HG,3661,JTR,1479,VIE,1613,,0,321 320 E90 HG,3661,KLX,1456,VIE,1613,,0,320 E90 HG,3661,LCA,1197,VIE,1613,,0,320 HG,3661,LNZ,1611,HER,1452,,0,321 HG,3661,LNZ,1611,PMI,3998,,0,320 HG,3661,LPA,1054,SZG,1612,,0,320 HG,3661,LPA,1054,VIE,1613,,0,320 HG,3661,MAD,1229,VIE,1613,,0,320 HG,3661,MLA,1606,VIE,1613,,0,E90 HG,3661,MUC,346,VIE,1613,,0,E90 HG,3661,MXP,1524,VIE,1613,,0,E90 HG,3661,NCE,1354,VIE,1613,,0,E90 HG,3661,OLB,1520,VIE,1613,,0,320 HG,3661,PMI,3998,GRZ,1609,,0,320 HG,3661,PMI,3998,INN,1610,,0,320 HG,3661,PMI,3998,LNZ,1611,,0,320 HG,3661,PMI,3998,SZG,1612,,0,320 HG,3661,PMI,3998,VIE,1613,,0,320 321 E90 HG,3661,PVK,1470,VIE,1613,,0,E90 HG,3661,RHO,1472,VIE,1613,,0,320 E90 HG,3661,RMF,4197,VIE,1613,,0,321 HG,3661,SKG,1486,VIE,1613,,0,E90 HG,3661,SZG,1612,ACE,1055,,0,320 HG,3661,SZG,1612,AYT,1688,,0,321 HG,3661,SZG,1612,CLY,1322,,0,320 HG,3661,SZG,1612,HER,1452,,0,321 HG,3661,SZG,1612,HRG,1130,,0,320 321 HG,3661,SZG,1612,LPA,1054,,0,320 HG,3661,SZG,1612,PMI,3998,,0,320 HG,3661,SZG,1612,TFS,1056,,0,320 HG,3661,SZG,1612,VIE,1613,,0,320 HG,3661,TFS,1056,GRZ,1609,,0,320 HG,3661,TFS,1056,SZG,1612,,0,320 HG,3661,TFS,1056,VIE,1613,,0,320 HG,3661,TLV,1590,VIE,1613,,0,321 320 HG,3661,VIE,1613,ACE,1055,,0,321 HG,3661,VIE,1613,AGP,1230,,0,321 320 HG,3661,VIE,1613,ARN,737,,0,E90 HG,3661,VIE,1613,AYT,1688,,0,321 HG,3661,VIE,1613,BCN,1218,,0,320 321 HG,3661,VIE,1613,CDG,1382,,0,320 HG,3661,VIE,1613,CFU,1460,,0,320 HG,3661,VIE,1613,CHQ,1474,,0,320 HG,3661,VIE,1613,CPH,609,,0,E90 HG,3661,VIE,1613,DME,4029,,0,320 E90 HG,3661,VIE,1613,FCO,1555,,0,320 E90 321 HG,3661,VIE,1613,FLR,1563,,0,DH4 HG,3661,VIE,1613,FNC,4091,,0,321 HG,3661,VIE,1613,FRA,340,,0,E90 320 HG,3661,VIE,1613,HER,1452,,0,320 321 HG,3661,VIE,1613,HRG,1130,,0,320 321 HG,3661,VIE,1613,JMK,1468,,0,320 321 HG,3661,VIE,1613,JTR,1479,,0,321 320 E90 HG,3661,VIE,1613,KLX,1456,,0,320 E90 HG,3661,VIE,1613,LCA,1197,,0,320 HG,3661,VIE,1613,LPA,1054,,0,320 HG,3661,VIE,1613,MAD,1229,,0,320 HG,3661,VIE,1613,MLA,1606,,0,E90 HG,3661,VIE,1613,MUC,346,,0,E90 HG,3661,VIE,1613,MXP,1524,,0,E90 HG,3661,VIE,1613,NCE,1354,,0,E90 HG,3661,VIE,1613,OLB,1520,,0,320 HG,3661,VIE,1613,PMI,3998,,0,321 320 E90 HG,3661,VIE,1613,PVK,1470,,0,E90 HG,3661,VIE,1613,RHO,1472,,0,320 E90 HG,3661,VIE,1613,RMF,4197,,0,321 HG,3661,VIE,1613,SKG,1486,,0,E90 HG,3661,VIE,1613,SZG,1612,,0,320 HG,3661,VIE,1613,TFS,1056,,0,320 HG,3661,VIE,1613,TLV,1590,,0,321 320 HG,3661,VIE,1613,VLC,1246,,0,320 HG,3661,VIE,1613,VOL,1448,,0,320 HG,3661,VIE,1613,ZRH,1678,,0,321 E90 320 HG,3661,VIE,1613,ZTH,1488,,0,320 E90 HG,3661,VLC,1246,VIE,1613,,0,320 HG,3661,VOL,1448,VIE,1613,,0,320 HG,3661,ZRH,1678,VIE,1613,,0,321 E90 320 HG,3661,ZTH,1488,VIE,1613,,0,320 E90 HI,16625,BLD,6449,GCW,6448,,0,BH2 HI,16625,GCW,6448,BLD,6449,,0,BH2 HK,9784,DUS,345,HRG,1130,,0,320 HK,9784,DUS,345,LPA,1054,,0,320 HK,9784,DUS,345,PMI,3998,,0,320 HK,9784,HRG,1130,DUS,345,,0,320 HK,9784,LPA,1054,DUS,345,,0,320 HK,9784,PMI,3998,DUS,345,,0,320 HM,319,AUH,2179,HKG,3077,Y,0,332 HM,319,AUH,2179,SEZ,994,Y,0,320 332 HM,319,HKG,3077,AUH,2179,Y,0,332 HM,319,JNB,813,SEZ,994,Y,0,332 HM,319,MRU,893,SEZ,994,Y,0,320 HM,319,PRI,995,SEZ,994,,0,DHT HM,319,SEZ,994,AUH,2179,Y,0,320 332 HM,319,SEZ,994,JNB,813,Y,0,332 HM,319,SEZ,994,MRU,893,Y,0,320 HM,319,SEZ,994,PRI,995,,0,DHT HN,16707,HEA,2048,KBL,2050,,0,CR2 HN,16707,KBL,2050,HEA,2048,,0,CR2 HN,16707,KBL,2050,KDH,2051,,0,CR2 HN,16707,KBL,2050,MZR,2053,,0,CR2 HN,16707,KDH,2051,KBL,2050,,0,CR2 HN,16707,MZR,2053,KBL,2050,,0,CR2 HO,3081,BAV,6346,PVG,3406,,0,320 HO,3081,BFJ,9025,KMG,3382,,0,320 HO,3081,BFJ,9025,SHA,3391,,0,320 HO,3081,BHY,6351,PVG,3406,,0,320 HO,3081,BHY,6351,SZX,3374,,0,320 HO,3081,BKK,3885,PVG,3406,,0,320 HO,3081,CAN,3370,PVG,3406,,0,320 HO,3081,CAN,3370,SHA,3391,,0,320 HO,3081,CGQ,4380,PVG,3406,,0,320 HO,3081,CIH,6343,SHA,3391,,0,320 HO,3081,CJU,2370,PVG,3406,,0,320 HO,3081,CKG,3393,PVG,3406,,0,320 HO,3081,CKG,3393,SHA,3391,,0,320 HO,3081,CNX,3931,PVG,3406,,0,320 HO,3081,CSX,3371,KWE,3394,,0,320 HO,3081,CSX,3371,LJG,4033,,0,320 HO,3081,CSX,3371,PVG,3406,,0,320 HO,3081,CSX,3371,SHA,3391,,0,320 HO,3081,CSX,3371,WNZ,6392,,0,320 HO,3081,CTU,3395,JUH,9843,,0,320 HO,3081,CTU,3395,SHA,3391,,0,321 HO,3081,DLC,3404,HGH,3386,,0,320 HO,3081,DLC,3404,PVG,3406,,0,320 HO,3081,DOY,4145,PVG,3406,,0,320 HO,3081,FOC,3385,PVG,3406,,0,320 HO,3081,HAK,4120,PVG,3406,,0,320 HO,3081,HAK,4120,SHA,3391,,0,320 HO,3081,HGH,3386,DLC,3404,,0,320 HO,3081,HGH,3386,KWE,3394,,0,320 HO,3081,HGH,3386,KWL,3372,,0,320 HO,3081,HGH,3386,TAO,3390,,0,320 HO,3081,HKG,3077,PVG,3406,,0,320 HO,3081,HKT,3179,PVG,3406,,0,320 HO,3081,HLD,3366,TGO,6348,,0,320 HO,3081,HRB,3400,PVG,3406,,0,320 HO,3081,INC,4085,PVG,3406,,0,320 HO,3081,JUH,9843,CTU,3395,,0,320 HO,3081,JUH,9843,SHA,3391,,0,320 HO,3081,KHH,2264,PVG,3406,,0,320 HO,3081,KIX,3992,PVG,3406,,0,320 HO,3081,KMG,3382,BFJ,9025,,0,320 HO,3081,KMG,3382,SHA,3391,,0,320 321 HO,3081,KWE,3394,CSX,3371,,0,320 HO,3081,KWE,3394,HGH,3386,,0,320 HO,3081,KWE,3394,SHA,3391,,0,320 HO,3081,KWE,3394,SZX,3374,,0,320 HO,3081,KWL,3372,HGH,3386,,0,320 HO,3081,KWL,3372,PVG,3406,,0,320 HO,3081,LCX,7504,SHA,3391,,0,320 HO,3081,LJG,4033,CSX,3371,,0,320 HO,3081,LJG,4033,WUH,3376,,0,320 HO,3081,MFM,3121,PVG,3406,,0,320 HO,3081,NNG,3373,SHA,3391,,0,320 HO,3081,OKA,2384,PVG,3406,,0,320 HO,3081,PEK,3364,SHA,3391,,0,320 HO,3081,PVG,3406,BAV,6346,,0,320 HO,3081,PVG,3406,BHY,6351,,0,320 HO,3081,PVG,3406,BKK,3885,,0,320 HO,3081,PVG,3406,CAN,3370,,0,320 HO,3081,PVG,3406,CGQ,4380,,0,320 HO,3081,PVG,3406,CJU,2370,,0,320 HO,3081,PVG,3406,CKG,3393,,0,320 HO,3081,PVG,3406,CNX,3931,,0,320 HO,3081,PVG,3406,DLC,3404,,0,320 HO,3081,PVG,3406,DOY,4145,,0,320 HO,3081,PVG,3406,FOC,3385,,0,320 HO,3081,PVG,3406,HAK,4120,,0,320 HO,3081,PVG,3406,HKG,3077,,0,320 HO,3081,PVG,3406,HKT,3179,,0,320 HO,3081,PVG,3406,HRB,3400,,0,320 HO,3081,PVG,3406,INC,4085,,0,320 HO,3081,PVG,3406,KHH,2264,,0,320 HO,3081,PVG,3406,KIX,3992,,0,320 HO,3081,PVG,3406,KWL,3372,,0,320 HO,3081,PVG,3406,MFM,3121,,0,320 HO,3081,PVG,3406,OKA,2384,,0,320 HO,3081,PVG,3406,SHE,4144,,0,320 HO,3081,PVG,3406,SYX,4030,,0,320 HO,3081,PVG,3406,SZX,3374,,0,320 HO,3081,PVG,3406,TAO,3390,,0,320 HO,3081,PVG,3406,TGO,6348,,0,320 HO,3081,PVG,3406,TPE,2276,,0,320 HO,3081,PVG,3406,TSN,3368,,0,320 HO,3081,PVG,3406,WUH,3376,,0,320 HO,3081,PVG,3406,XFN,6360,,0,320 HO,3081,PVG,3406,XIY,3379,,0,320 HO,3081,PVG,3406,XMN,3383,,0,320 HO,3081,PVG,3406,YNY,6006,,0,320 HO,3081,PVG,3406,ZUH,6355,,0,320 HO,3081,SHA,3391,BFJ,9025,,0,320 HO,3081,SHA,3391,CAN,3370,,0,320 HO,3081,SHA,3391,CIH,6343,,0,320 HO,3081,SHA,3391,CKG,3393,,0,320 HO,3081,SHA,3391,CSX,3371,,0,320 HO,3081,SHA,3391,CTU,3395,,0,321 HO,3081,SHA,3391,INC,4085,,0,320 HO,3081,SHA,3391,JUH,9843,,0,320 HO,3081,SHA,3391,KMG,3382,,0,321 320 HO,3081,SHA,3391,KWE,3394,,0,320 HO,3081,SHA,3391,LCX,7504,,0,320 HO,3081,SHA,3391,NNG,3373,,0,320 HO,3081,SHA,3391,PEK,3364,,0,320 HO,3081,SHA,3391,SYX,4030,,0,320 321 HO,3081,SHA,3391,SZX,3374,,0,320 HO,3081,SHA,3391,TAO,3390,,0,320 HO,3081,SHA,3391,TSN,3368,,0,320 HO,3081,SHA,3391,TYN,3369,,0,320 321 HO,3081,SHA,3391,URC,3399,,0,320 HO,3081,SHA,3391,WNZ,6392,,0,320 HO,3081,SHA,3391,WUH,3376,,0,320 HO,3081,SHA,3391,XIY,3379,,0,320 HO,3081,SHA,3391,XMN,3383,,0,320 HO,3081,SHA,3391,ZUH,6355,,0,320 HO,3081,SHE,4144,PVG,3406,,0,320 HO,3081,SYX,4030,PVG,3406,,0,320 HO,3081,SYX,4030,SHA,3391,,0,320 321 HO,3081,SZX,3374,BHY,6351,,0,320 HO,3081,SZX,3374,KWE,3394,,0,320 HO,3081,SZX,3374,PVG,3406,,0,320 HO,3081,SZX,3374,SHA,3391,,0,320 HO,3081,TAO,3390,HGH,3386,,0,320 HO,3081,TAO,3390,PVG,3406,,0,320 HO,3081,TAO,3390,SHA,3391,,0,320 HO,3081,TGO,6348,HLD,3366,,0,320 HO,3081,TGO,6348,PVG,3406,,0,320 HO,3081,TPE,2276,PVG,3406,,0,320 HO,3081,TSN,3368,PVG,3406,,0,320 HO,3081,TSN,3368,SHA,3391,,0,320 HO,3081,TYN,3369,SHA,3391,,0,320 321 HO,3081,URC,3399,SHA,3391,,0,320 HO,3081,WNZ,6392,CSX,3371,,0,320 HO,3081,WNZ,6392,SHA,3391,,0,320 HO,3081,WUH,3376,LJG,4033,,0,320 HO,3081,WUH,3376,PVG,3406,,0,320 HO,3081,WUH,3376,SHA,3391,,0,320 HO,3081,XFN,6360,PVG,3406,,0,320 HO,3081,XIY,3379,PVG,3406,,0,320 HO,3081,XIY,3379,SHA,3391,,0,320 HO,3081,XIY,3379,XNN,6366,,0,320 HO,3081,XMN,3383,PVG,3406,,0,320 HO,3081,XMN,3383,SHA,3391,,0,320 HO,3081,XNN,6366,XIY,3379,,0,320 HO,3081,YNY,6006,PVG,3406,,0,320 HO,3081,ZUH,6355,PVG,3406,,0,320 HO,3081,ZUH,6355,SHA,3391,,0,320 HQ,2684,ACE,1055,FUE,1051,,0,320 HQ,2684,ADB,1706,CDG,1382,,0,320 HQ,2684,AGA,1064,BRU,302,,0,320 HQ,2684,AGA,1064,LIL,1399,,0,320 HQ,2684,AGP,1230,BRU,302,,0,320 HQ,2684,AGP,1230,LIL,1399,,0,320 HQ,2684,AJA,1324,LIL,1399,,0,320 HQ,2684,AYT,1688,BRU,302,,0,320 HQ,2684,BOJ,1191,BRU,302,,0,320 HQ,2684,BRU,302,ACE,1055,,0,320 HQ,2684,BRU,302,AGA,1064,,0,320 HQ,2684,BRU,302,AYT,1688,,0,320 HQ,2684,BRU,302,BOJ,1191,,0,320 HQ,2684,BRU,302,CFU,1460,,0,320 HQ,2684,BRU,302,CHQ,1474,,0,320 HQ,2684,BRU,302,DBV,1200,,0,319 320 HQ,2684,BRU,302,FNC,4091,,0,319 320 HQ,2684,BRU,302,HER,1452,,0,320 319 HQ,2684,BRU,302,IBZ,1225,,0,319 320 HQ,2684,BRU,302,JMK,1468,,0,320 HQ,2684,BRU,302,KGS,1458,,0,320 319 HQ,2684,BRU,302,LDE,1276,,0,319 HQ,2684,BRU,302,LEI,1213,,0,320 HQ,2684,BRU,302,LPA,1054,,0,320 HQ,2684,BRU,302,MAH,1231,,0,320 HQ,2684,BRU,302,NBE,7447,,0,320 HQ,2684,BRU,302,PFO,1198,,0,319 HQ,2684,BRU,302,PMI,3998,,0,320 319 HQ,2684,BRU,302,RAK,1075,,0,320 HQ,2684,BRU,302,REU,1236,,0,319 HQ,2684,BRU,302,RHO,1472,,0,320 319 HQ,2684,BRU,302,TFS,1056,,0,320 HQ,2684,BRU,302,TIV,1743,,0,320 HQ,2684,BRU,302,VAR,1196,,0,320 HQ,2684,BRU,302,ZTH,1488,,0,320 HQ,2684,CDG,1382,ADB,1706,,0,320 HQ,2684,CFU,1460,BRU,302,,0,320 HQ,2684,CFU,1460,LIL,1399,,0,320 HQ,2684,CHQ,1474,BRU,302,,0,320 HQ,2684,DBV,1200,BRU,302,,0,319 320 HQ,2684,DBV,1200,LIL,1399,,0,320 HQ,2684,FAO,1626,AGP,1230,,0,320 HQ,2684,FNC,4091,BRU,302,,0,319 320 HQ,2684,FUE,1051,BRU,302,,0,320 HQ,2684,FUE,1051,TFS,1056,,0,320 HQ,2684,GRO,1222,BRU,302,,0,320 HQ,2684,HER,1452,BRU,302,,0,320 319 HQ,2684,HER,1452,LIL,1399,,0,320 319 HQ,2684,IBZ,1225,BRU,302,,0,320 HQ,2684,IBZ,1225,MAH,1231,,0,319 HQ,2684,JMK,1468,JTR,1479,,0,320 HQ,2684,JTR,1479,BRU,302,,0,320 HQ,2684,KGS,1458,BRU,302,,0,320 319 HQ,2684,LDE,1276,BRU,302,,0,319 HQ,2684,LEI,1213,BRU,302,,0,320 HQ,2684,LGG,309,AGA,1064,,0,320 HQ,2684,LGG,309,HER,1452,,0,320 HQ,2684,LGG,309,LIL,1399,,0,320 HQ,2684,LGG,309,PMI,3998,,0,320 HQ,2684,LGG,309,RHO,1472,,0,320 HQ,2684,LIL,1399,AJA,1324,,0,320 HQ,2684,LIL,1399,CFU,1460,,0,320 HQ,2684,LIL,1399,DBV,1200,,0,320 HQ,2684,LIL,1399,FAO,1626,,0,320 HQ,2684,LIL,1399,FUE,1051,,0,320 HQ,2684,LIL,1399,HER,1452,,0,320 319 HQ,2684,LIL,1399,LGG,309,,0,320 HQ,2684,LIL,1399,RHO,1472,,0,320 HQ,2684,LIL,1399,SPU,1206,,0,320 HQ,2684,LPA,1054,BRU,302,,0,320 HQ,2684,MAH,1231,BRU,302,,0,319 HQ,2684,MAH,1231,GRO,1222,,0,320 HQ,2684,NBE,7447,BRU,302,,0,320 HQ,2684,OST,310,LGG,309,,0,320 HQ,2684,PFO,1198,BRU,302,,0,319 HQ,2684,PMI,3998,BRU,302,,0,320 319 HQ,2684,PMI,3998,LGG,309,,0,320 HQ,2684,PMI,3998,OST,310,,0,320 HQ,2684,RAK,1075,BRU,302,,0,320 HQ,2684,REU,1236,BRU,302,,0,319 HQ,2684,RHO,1472,BRU,302,,0,320 319 HQ,2684,RHO,1472,LGG,309,,0,320 HQ,2684,SPU,1206,LIL,1399,,0,320 HQ,2684,TFS,1056,BRU,302,,0,320 HQ,2684,TFS,1056,LIL,1399,,0,320 HQ,2684,TIV,1743,BRU,302,,0,320 HQ,2684,VAR,1196,BRU,302,,0,320 HQ,2684,ZTH,1488,BRU,302,,0,320 HR,1769,DUS,345,LUX,629,,0,CNJ HR,1769,LUX,629,DUS,345,,0,CNJ HS,\N,BLE,739,GOT,687,,0,J32 HS,\N,BLE,739,ORB,731,,0,J32 HS,\N,GEV,715,KRN,724,,0,J32 HS,\N,GEV,715,LLA,734,,0,J32 HS,\N,GOT,687,BLE,739,,0,J32 HS,\N,GOT,687,SDL,721,,0,F50 HS,\N,KRN,724,GEV,715,,0,J32 HS,\N,LLA,734,GEV,715,,0,J32 HS,\N,LLA,734,SDL,721,,0,J32 HS,\N,LLA,734,UME,728,,0,J32 HS,\N,MMX,708,ORB,731,,0,J32 HS,\N,ORB,731,BLE,739,,0,J32 HS,\N,ORB,731,MMX,708,,0,J32 HS,\N,OSD,5593,UME,728,,0,J32 HS,\N,SDL,721,GOT,687,,0,F50 HS,\N,SDL,721,LLA,734,,0,J32 HS,\N,UME,728,LLA,734,,0,J32 HS,\N,UME,728,OSD,5593,,0,J32 HU,2660,AEB,8082,CAN,3370,,0,738 HU,2660,AKU,6404,URC,3399,,0,738 HU,2660,ALA,2908,PEK,3364,,0,738 HU,2660,ARN,737,TXL,351,Y,0,321 738 320 319 HU,2660,AUH,2179,CTU,3395,Y,0,332 HU,2660,AUH,2179,GVA,1665,,0,333 HU,2660,AUH,2179,JNB,813,,0,332 HU,2660,AUH,2179,KRT,1175,Y,0,320 HU,2660,AUH,2179,NBO,4059,,0,320 HU,2660,AUH,2179,PEK,3364,Y,0,332 HU,2660,AUH,2179,PVG,3406,Y,0,333 HU,2660,BAV,6346,PEK,3364,,0,738 HU,2660,BCN,1218,BRU,302,,0,320 319 HU,2660,BIO,1216,BRU,302,,0,319 HU,2660,BKK,3885,NNG,3373,,0,738 HU,2660,BKK,3885,PEK,3364,,0,738 HU,2660,BRU,302,BCN,1218,,0,319 HU,2660,BRU,302,BIO,1216,,0,319 HU,2660,BRU,302,CPH,609,Y,0,319 HU,2660,BRU,302,FCO,1555,Y,0,320 HU,2660,BRU,302,GVA,1665,Y,0,319 HU,2660,BRU,302,MAD,1229,,0,319 HU,2660,BRU,302,MXP,1524,,0,AR1 HU,2660,BRU,302,PEK,3364,,0,330 HU,2660,BRU,302,TXL,351,,0,319 320 HU,2660,CAN,3370,AEB,8082,,0,738 HU,2660,CAN,3370,CGO,3375,,0,738 HU,2660,CAN,3370,CKG,3393,,0,738 HU,2660,CAN,3370,DOY,4145,,0,738 HU,2660,CAN,3370,FOC,3385,,0,738 HU,2660,CAN,3370,HAK,4120,,0,738 HU,2660,CAN,3370,HFE,3389,,0,738 HU,2660,CAN,3370,HGH,3386,,0,738 HU,2660,CAN,3370,KHN,3384,,0,738 HU,2660,CAN,3370,KWE,3394,,0,738 HU,2660,CAN,3370,NGB,3387,,0,738 HU,2660,CAN,3370,NKG,3388,,0,738 HU,2660,CAN,3370,PEK,3364,,0,738 HU,2660,CAN,3370,SYX,4030,,0,738 HU,2660,CAN,3370,TAO,3390,,0,738 HU,2660,CAN,3370,TPE,2276,,0,738 HU,2660,CAN,3370,TSN,3368,,0,738 HU,2660,CAN,3370,TVS,8858,,0,738 HU,2660,CAN,3370,TYN,3369,,0,738 HU,2660,CAN,3370,URC,3399,,0,738 HU,2660,CAN,3370,WEF,6388,,0,738 HU,2660,CAN,3370,WNZ,6392,,0,738 HU,2660,CAN,3370,XIY,3379,,0,738 HU,2660,CAN,3370,YIH,6361,,0,738 HU,2660,CGN,344,TXL,351,,0,73G 738 321 320 319 HU,2660,CGO,3375,CAN,3370,,0,738 HU,2660,CGO,3375,CGQ,4380,,0,738 HU,2660,CGO,3375,DLC,3404,,0,738 HU,2660,CGO,3375,FOC,3385,,0,738 HU,2660,CGO,3375,HAK,4120,,0,738 HU,2660,CGO,3375,HET,6345,,0,738 HU,2660,CGO,3375,HGH,3386,,0,738 HU,2660,CGO,3375,KRL,6407,,0,738 HU,2660,CGO,3375,KWE,3394,,0,738 HU,2660,CGO,3375,KWL,3372,,0,738 HU,2660,CGO,3375,SYX,4030,,0,738 HU,2660,CGO,3375,SZX,3374,,0,738 HU,2660,CGO,3375,URC,3399,,0,738 HU,2660,CGO,3375,XMN,3383,,0,738 HU,2660,CGQ,4380,CGO,3375,,0,738 HU,2660,CGQ,4380,PEK,3364,,0,738 HU,2660,CIH,6343,HAK,4120,,0,738 HU,2660,CIH,6343,PEK,3364,,0,738 HU,2660,CIH,6343,TSN,3368,,0,738 HU,2660,CIH,6343,TYN,3369,,0,738 HU,2660,CIH,6343,XMN,3383,,0,738 HU,2660,CKG,3393,CAN,3370,,0,738 HU,2660,CKG,3393,CSX,3371,,0,738 HU,2660,CKG,3393,ENY,6367,,0,738 HU,2660,CKG,3393,HAK,4120,,0,738 HU,2660,CKG,3393,HGH,3386,,0,738 HU,2660,CKG,3393,HKG,3077,Y,0,320 HU,2660,CKG,3393,KWL,3372,,0,738 HU,2660,CKG,3393,LHW,3378,,0,738 HU,2660,CKG,3393,PEK,3364,,0,738 HU,2660,CKG,3393,SYX,4030,,0,738 HU,2660,CKG,3393,SZX,3374,,0,738 HU,2660,CKG,3393,URC,3399,,0,738 HU,2660,CKG,3393,WNZ,6392,,0,738 HU,2660,CKG,3393,XIY,3379,,0,738 HU,2660,CKG,3393,XNN,6366,,0,738 HU,2660,CPH,609,BRU,302,Y,0,319 HU,2660,CPH,609,TXL,351,,0,738 319 73G HU,2660,CSX,3371,CKG,3393,,0,738 HU,2660,CSX,3371,FOC,3385,,0,738 HU,2660,CSX,3371,HAK,4120,,0,738 HU,2660,CSX,3371,HET,6345,,0,738 HU,2660,CSX,3371,HGH,3386,,0,738 HU,2660,CSX,3371,LHW,3378,,0,738 HU,2660,CSX,3371,NGB,3387,,0,738 HU,2660,CSX,3371,NNG,3373,,0,738 HU,2660,CSX,3371,PEK,3364,,0,738 HU,2660,CSX,3371,SYX,4030,,0,738 HU,2660,CSX,3371,TNA,4108,,0,738 HU,2660,CSX,3371,TYN,3369,,0,738 HU,2660,CSX,3371,XIY,3379,,0,738 HU,2660,CSX,3371,XMN,3383,,0,738 HU,2660,CSX,3371,XUZ,4149,,0,738 HU,2660,CTU,3395,AUH,2179,Y,0,332 HU,2660,CTU,3395,HAK,4120,,0,737 HU,2660,CTU,3395,HKG,3077,,0,332 HU,2660,CTU,3395,JZH,4301,,0,738 HU,2660,CTU,3395,PEK,3364,,0,738 HU,2660,CTU,3395,SZX,3374,,0,333 738 HU,2660,CTU,3395,URC,3399,,0,738 HU,2660,CTU,3395,XIY,3379,,0,738 HU,2660,DLC,3404,CGO,3375,,0,738 HU,2660,DLC,3404,HFE,3389,,0,738 HU,2660,DLC,3404,JMU,6411,,0,738 HU,2660,DLC,3404,NGB,3387,,0,738 HU,2660,DLC,3404,NKG,3388,,0,738 HU,2660,DLC,3404,PEK,3364,,0,738 HU,2660,DLC,3404,TPE,2276,,0,738 HU,2660,DLC,3404,TYN,3369,,0,738 HU,2660,DLC,3404,WEF,6388,,0,738 HU,2660,DLC,3404,WUH,3376,,0,738 HU,2660,DLC,3404,XIY,3379,,0,738 HU,2660,DOY,4145,CAN,3370,,0,738 HU,2660,DOY,4145,HRB,3400,,0,738 HU,2660,DOY,4145,PEK,3364,,0,738 HU,2660,DUS,345,TXL,351,,0,738 320 73G HU,2660,ENY,6367,CKG,3393,,0,738 HU,2660,ENY,6367,PEK,3364,,0,738 HU,2660,FCO,1555,BRU,302,,0,319 HU,2660,FKB,4166,TXL,351,Y,0,73G DH4 HU,2660,FOC,3385,CAN,3370,,0,738 HU,2660,FOC,3385,CGO,3375,,0,738 HU,2660,FOC,3385,CSX,3371,,0,738 HU,2660,FOC,3385,HAK,4120,,0,738 HU,2660,FOC,3385,HFE,3389,,0,738 HU,2660,FOC,3385,HKG,3077,,0,332 HU,2660,FOC,3385,NKG,3388,,0,738 HU,2660,FOC,3385,PEK,3364,,0,738 HU,2660,FOC,3385,XIY,3379,,0,738 HU,2660,FRA,340,TXL,351,,0,320 738 HU,2660,GOT,687,TXL,351,,0,73G HU,2660,GVA,1665,AUH,2179,,0,333 HU,2660,GVA,1665,BRU,302,,0,320 HU,2660,HAK,4120,CAN,3370,,0,738 HU,2660,HAK,4120,CGO,3375,,0,738 HU,2660,HAK,4120,CIH,6343,,0,738 HU,2660,HAK,4120,CKG,3393,,0,738 HU,2660,HAK,4120,CSX,3371,,0,738 HU,2660,HAK,4120,CTU,3395,,0,737 HU,2660,HAK,4120,FOC,3385,,0,738 HU,2660,HAK,4120,HFE,3389,,0,738 HU,2660,HAK,4120,HGH,3386,,0,738 HU,2660,HAK,4120,HKG,3077,Y,0,320 HU,2660,HAK,4120,KHN,3384,,0,738 HU,2660,HAK,4120,KMG,3382,,0,738 HU,2660,HAK,4120,KWE,3394,,0,738 HU,2660,HAK,4120,KWL,3372,,0,738 HU,2660,HAK,4120,NKG,3388,,0,738 HU,2660,HAK,4120,NNG,3373,,0,738 HU,2660,HAK,4120,PEK,3364,,0,738 HU,2660,HAK,4120,PVG,3406,,0,737 738 HU,2660,HAK,4120,SIN,3316,,0,738 HU,2660,HAK,4120,SZX,3374,,0,738 HU,2660,HAK,4120,TPE,2276,,0,738 HU,2660,HAK,4120,TYN,3369,,0,738 HU,2660,HAK,4120,WUH,3376,,0,738 HU,2660,HAK,4120,XMN,3383,,0,738 HU,2660,HET,6345,CGO,3375,,0,738 HU,2660,HET,6345,CSX,3371,,0,738 HU,2660,HET,6345,HRB,3400,,0,738 HU,2660,HET,6345,PEK,3364,,0,738 HU,2660,HET,6345,XIY,3379,,0,738 HU,2660,HFE,3389,CAN,3370,,0,738 HU,2660,HFE,3389,DLC,3404,,0,738 HU,2660,HFE,3389,FOC,3385,,0,738 HU,2660,HFE,3389,HAK,4120,,0,738 HU,2660,HFE,3389,HRB,3400,,0,738 HU,2660,HFE,3389,LHW,3378,,0,738 HU,2660,HFE,3389,SYX,4030,,0,738 HU,2660,HFE,3389,SZX,3374,,0,738 HU,2660,HFE,3389,TYN,3369,,0,738 HU,2660,HFE,3389,XMN,3383,,0,738 HU,2660,HGH,3386,CAN,3370,,0,738 HU,2660,HGH,3386,CGO,3375,,0,738 HU,2660,HGH,3386,CKG,3393,,0,738 HU,2660,HGH,3386,CSX,3371,,0,738 HU,2660,HGH,3386,HAK,4120,,0,738 HU,2660,HGH,3386,HKG,3077,,0,320 332 HU,2660,HGH,3386,JNZ,6412,,0,738 HU,2660,HGH,3386,PEK,3364,,0,738 HU,2660,HGH,3386,SHE,4144,,0,738 HU,2660,HGH,3386,SYX,4030,,0,738 HU,2660,HGH,3386,SZX,3374,,0,738 HU,2660,HGH,3386,TYN,3369,,0,738 HU,2660,HGH,3386,WEF,6388,,0,738 HU,2660,HGH,3386,WUH,3376,,0,738 HU,2660,HGH,3386,XIY,3379,,0,738 HU,2660,HKG,3077,CKG,3393,Y,0,320 HU,2660,HKG,3077,CTU,3395,,0,332 HU,2660,HKG,3077,FOC,3385,,0,332 HU,2660,HKG,3077,HAK,4120,Y,0,320 HU,2660,HKG,3077,HGH,3386,,0,332 320 HU,2660,HKG,3077,NKG,3388,,0,332 HU,2660,HKG,3077,PEK,3364,,0,332 320 HU,2660,HKT,3179,PEK,3364,,0,738 HU,2660,HLD,3366,PEK,3364,,0,738 HU,2660,HRB,3400,DOY,4145,,0,738 HU,2660,HRB,3400,HET,6345,,0,738 HU,2660,HRB,3400,HFE,3389,,0,738 HU,2660,HRB,3400,KHN,3384,,0,738 HU,2660,HRB,3400,PEK,3364,,0,738 HU,2660,HRB,3400,TAO,3390,,0,738 HU,2660,HRB,3400,TNA,4108,,0,738 HU,2660,HRB,3400,TSN,3368,,0,738 HU,2660,HTA,2935,NZH,6954,,0,738 HU,2660,IKT,2937,NZH,6954,,0,738 HU,2660,INC,4085,XIY,3379,,0,738 HU,2660,JMU,6411,DLC,3404,,0,738 HU,2660,JMU,6411,PEK,3364,,0,738 HU,2660,JNB,813,AUH,2179,,0,332 HU,2660,JNZ,6412,HGH,3386,,0,738 HU,2660,JZH,4301,CTU,3395,,0,738 HU,2660,KHG,3397,URC,3399,,0,738 HU,2660,KHN,3384,CAN,3370,,0,738 HU,2660,KHN,3384,HAK,4120,,0,738 HU,2660,KHN,3384,HRB,3400,,0,738 HU,2660,KHN,3384,PEK,3364,,0,738 HU,2660,KHN,3384,SHE,4144,,0,738 HU,2660,KHN,3384,XIY,3379,,0,738 HU,2660,KHN,3384,XMN,3383,,0,738 HU,2660,KHV,2927,PEK,3364,,0,320 HU,2660,KJA,4374,PEK,3364,,0,320 HU,2660,KMG,3382,HAK,4120,,0,738 HU,2660,KMG,3382,PEK,3364,,0,738 HU,2660,KMG,3382,SZX,3374,,0,738 HU,2660,KMG,3382,XIY,3379,,0,738 HU,2660,KRL,6407,CGO,3375,,0,738 HU,2660,KRL,6407,URC,3399,,0,738 HU,2660,KRT,1175,AUH,2179,Y,0,320 HU,2660,KWE,3394,CAN,3370,,0,738 HU,2660,KWE,3394,CGO,3375,,0,738 HU,2660,KWE,3394,HAK,4120,,0,738 HU,2660,KWE,3394,PEK,3364,,0,738 HU,2660,KWE,3394,SYX,4030,,0,738 HU,2660,KWE,3394,SZX,3374,,0,738 HU,2660,KWE,3394,WUH,3376,,0,738 HU,2660,KWL,3372,CGO,3375,,0,738 HU,2660,KWL,3372,CKG,3393,,0,738 HU,2660,KWL,3372,HAK,4120,,0,738 HU,2660,KWL,3372,PEK,3364,,0,738 HU,2660,KWL,3372,TYN,3369,,0,738 HU,2660,LAX,3484,PVG,3406,Y,0,777 HU,2660,LED,2948,PEK,3364,,0,333 HU,2660,LHW,3378,CKG,3393,,0,738 HU,2660,LHW,3378,CSX,3371,,0,738 HU,2660,LHW,3378,HFE,3389,,0,738 HU,2660,LHW,3378,PEK,3364,,0,738 HU,2660,LHW,3378,PVG,3406,,0,738 HU,2660,LHW,3378,SZX,3374,,0,738 HU,2660,LHW,3378,TPE,2276,,0,738 HU,2660,LHW,3378,TSN,3368,,0,738 HU,2660,LHW,3378,URC,3399,,0,738 HU,2660,LHW,3378,XIY,3379,,0,738 HU,2660,LYI,6385,SZX,3374,,0,738 HU,2660,MAD,1229,BRU,302,,0,319 HU,2660,MDG,3402,PEK,3364,,0,738 HU,2660,MLE,3156,PEK,3364,,0,767 HU,2660,MUC,346,TXL,351,,0,738 321 320 73G HU,2660,MXP,1524,BRU,302,Y,0,319 AR1 HU,2660,NBO,4059,AUH,2179,,0,320 HU,2660,NDG,6413,PEK,3364,,0,738 HU,2660,NGB,3387,CAN,3370,,0,738 HU,2660,NGB,3387,CSX,3371,,0,738 HU,2660,NGB,3387,DLC,3404,,0,738 HU,2660,NGB,3387,PEK,3364,,0,738 HU,2660,NGB,3387,SZX,3374,,0,738 HU,2660,NGB,3387,TAO,3390,,0,738 HU,2660,NGB,3387,WEF,6388,,0,738 HU,2660,NKG,3388,CAN,3370,,0,738 HU,2660,NKG,3388,DLC,3404,,0,738 HU,2660,NKG,3388,FOC,3385,,0,738 HU,2660,NKG,3388,HAK,4120,,0,738 HU,2660,NKG,3388,HKG,3077,,0,332 HU,2660,NKG,3388,SZX,3374,,0,738 HU,2660,NKG,3388,XIY,3379,,0,738 HU,2660,NNG,3373,BKK,3885,,0,738 HU,2660,NNG,3373,CSX,3371,,0,738 HU,2660,NNG,3373,HAK,4120,,0,738 HU,2660,NNG,3373,PEK,3364,,0,738 HU,2660,NUE,347,TXL,351,,0,DH4 HU,2660,NZH,6954,HTA,2935,,0,738 HU,2660,NZH,6954,IKT,2937,,0,738 HU,2660,NZH,6954,PEK,3364,,0,738 HU,2660,ORD,3830,PEK,3364,,0,787 HU,2660,ORD,3830,PVG,3406,Y,0,777 HU,2660,OSL,644,TXL,351,,0,319 HU,2660,OVB,4078,PEK,3364,,0,320 HU,2660,OVB,4078,URC,3399,,0,320 HU,2660,PEK,3364,ALA,2908,,0,738 HU,2660,PEK,3364,AUH,2179,Y,0,332 HU,2660,PEK,3364,BAV,6346,,0,738 HU,2660,PEK,3364,BKK,3885,,0,738 HU,2660,PEK,3364,BRU,302,,0,330 HU,2660,PEK,3364,CAN,3370,,0,738 HU,2660,PEK,3364,CGQ,4380,,0,738 HU,2660,PEK,3364,CIH,6343,,0,738 HU,2660,PEK,3364,CKG,3393,,0,738 HU,2660,PEK,3364,CSX,3371,,0,738 HU,2660,PEK,3364,CTU,3395,,0,738 HU,2660,PEK,3364,DLC,3404,,0,738 HU,2660,PEK,3364,DOY,4145,,0,738 HU,2660,PEK,3364,ENY,6367,,0,738 HU,2660,PEK,3364,FOC,3385,,0,738 HU,2660,PEK,3364,HAK,4120,,0,738 HU,2660,PEK,3364,HET,6345,,0,738 HU,2660,PEK,3364,HGH,3386,,0,738 HU,2660,PEK,3364,HKG,3077,,0,320 332 HU,2660,PEK,3364,HKT,3179,,0,738 HU,2660,PEK,3364,HLD,3366,,0,738 HU,2660,PEK,3364,HRB,3400,,0,738 HU,2660,PEK,3364,INC,4085,,0,738 HU,2660,PEK,3364,JMU,6411,,0,738 HU,2660,PEK,3364,KHN,3384,,0,738 HU,2660,PEK,3364,KHV,2927,,0,320 HU,2660,PEK,3364,KJA,4374,,0,320 HU,2660,PEK,3364,KMG,3382,,0,738 HU,2660,PEK,3364,KWE,3394,,0,738 HU,2660,PEK,3364,KWL,3372,,0,738 HU,2660,PEK,3364,LED,2948,,0,333 HU,2660,PEK,3364,LHW,3378,,0,738 HU,2660,PEK,3364,MDG,3402,,0,738 HU,2660,PEK,3364,MLE,3156,,0,767 HU,2660,PEK,3364,NDG,6413,,0,738 HU,2660,PEK,3364,NGB,3387,,0,738 HU,2660,PEK,3364,NNG,3373,,0,738 HU,2660,PEK,3364,NZH,6954,,0,738 HU,2660,PEK,3364,ORD,3830,,0,787 HU,2660,PEK,3364,OVB,4078,,0,320 HU,2660,PEK,3364,PUS,2372,Y,0,333 HU,2660,PEK,3364,SEA,3577,,0,787 HU,2660,PEK,3364,SHA,3391,,0,738 HU,2660,PEK,3364,SVO,2985,,0,333 HU,2660,PEK,3364,SYX,4030,,0,738 HU,2660,PEK,3364,SZX,3374,,0,738 333 HU,2660,PEK,3364,TPE,2276,,0,738 HU,2660,PEK,3364,TXL,351,,0,330 HU,2660,PEK,3364,URC,3399,,0,738 HU,2660,PEK,3364,UYN,6368,,0,738 HU,2660,PEK,3364,WEF,6388,,0,738 HU,2660,PEK,3364,WNZ,6392,,0,738 HU,2660,PEK,3364,WUA,6955,,0,738 HU,2660,PEK,3364,WUH,3376,,0,738 HU,2660,PEK,3364,XIY,3379,,0,738 787 HU,2660,PEK,3364,XMN,3383,,0,738 HU,2660,PEK,3364,XNN,6366,,0,738 HU,2660,PEK,3364,YIH,6361,,0,738 HU,2660,PEK,3364,YYZ,193,,0,787 HU,2660,PUS,2372,PEK,3364,Y,0,333 HU,2660,PVG,3406,AUH,2179,Y,0,333 HU,2660,PVG,3406,HAK,4120,,0,737 738 HU,2660,PVG,3406,LAX,3484,Y,0,777 HU,2660,PVG,3406,LHW,3378,,0,738 HU,2660,PVG,3406,ORD,3830,Y,0,777 HU,2660,PVG,3406,TYN,3369,,0,738 HU,2660,PVG,3406,WEF,6388,,0,738 HU,2660,PVG,3406,XIY,3379,,0,738 HU,2660,SCN,349,TXL,351,Y,0,73G 320 HU,2660,SEA,3577,PEK,3364,,0,787 HU,2660,SHA,3391,PEK,3364,,0,738 HU,2660,SHA,3391,TSN,3368,,0,738 HU,2660,SHA,3391,TYN,3369,,0,738 HU,2660,SHA,3391,URC,3399,,0,738 HU,2660,SHE,4144,HGH,3386,,0,738 HU,2660,SHE,4144,KHN,3384,,0,738 HU,2660,SHE,4144,TAO,3390,,0,738 HU,2660,SHE,4144,TNA,4108,,0,738 HU,2660,SHE,4144,WEF,6388,,0,738 HU,2660,SHE,4144,XMN,3383,,0,738 HU,2660,SIN,3316,HAK,4120,,0,738 HU,2660,SJW,6347,SZX,3374,,0,738 HU,2660,STR,350,TXL,351,,0,738 320 73G DH4 319 HU,2660,SVO,2985,PEK,3364,,0,333 HU,2660,SYX,4030,CAN,3370,,0,738 HU,2660,SYX,4030,CGO,3375,,0,738 HU,2660,SYX,4030,CKG,3393,,0,738 HU,2660,SYX,4030,CSX,3371,,0,738 HU,2660,SYX,4030,HFE,3389,,0,738 HU,2660,SYX,4030,HGH,3386,,0,738 HU,2660,SYX,4030,KWE,3394,,0,738 HU,2660,SYX,4030,PEK,3364,,0,738 HU,2660,SYX,4030,SZX,3374,,0,738 HU,2660,SYX,4030,TNA,4108,,0,738 HU,2660,SYX,4030,XIY,3379,,0,738 HU,2660,SZX,3374,CGO,3375,,0,738 HU,2660,SZX,3374,CKG,3393,,0,738 HU,2660,SZX,3374,CTU,3395,,0,333 738 HU,2660,SZX,3374,HAK,4120,,0,738 HU,2660,SZX,3374,HFE,3389,,0,738 HU,2660,SZX,3374,HGH,3386,,0,738 HU,2660,SZX,3374,KMG,3382,,0,738 HU,2660,SZX,3374,KWE,3394,,0,738 HU,2660,SZX,3374,LHW,3378,,0,738 HU,2660,SZX,3374,LYI,6385,,0,738 HU,2660,SZX,3374,NGB,3387,,0,738 HU,2660,SZX,3374,NKG,3388,,0,738 HU,2660,SZX,3374,PEK,3364,,0,333 738 HU,2660,SZX,3374,SJW,6347,,0,738 HU,2660,SZX,3374,SYX,4030,,0,738 HU,2660,SZX,3374,TNA,4108,,0,738 HU,2660,SZX,3374,TSN,3368,,0,738 HU,2660,SZX,3374,TYN,3369,,0,738 HU,2660,SZX,3374,URC,3399,,0,738 HU,2660,SZX,3374,XFN,6360,,0,738 HU,2660,SZX,3374,XIY,3379,,0,738 333 HU,2660,SZX,3374,XUZ,4149,,0,738 HU,2660,SZX,3374,YIH,6361,,0,738 HU,2660,TAO,3390,CAN,3370,,0,738 HU,2660,TAO,3390,HRB,3400,,0,738 HU,2660,TAO,3390,NGB,3387,,0,738 HU,2660,TAO,3390,SHE,4144,,0,738 HU,2660,TAO,3390,WUH,3376,,0,738 HU,2660,TAO,3390,XIY,3379,,0,738 HU,2660,TNA,4108,CSX,3371,,0,738 HU,2660,TNA,4108,HRB,3400,,0,738 HU,2660,TNA,4108,SHE,4144,,0,738 HU,2660,TNA,4108,SYX,4030,,0,738 HU,2660,TNA,4108,SZX,3374,,0,738 HU,2660,TNA,4108,XIY,3379,,0,738 HU,2660,TPE,2276,CAN,3370,,0,738 HU,2660,TPE,2276,DLC,3404,,0,738 HU,2660,TPE,2276,HAK,4120,,0,738 HU,2660,TPE,2276,LHW,3378,,0,738 HU,2660,TPE,2276,PEK,3364,,0,738 HU,2660,TPE,2276,XIY,3379,,0,738 HU,2660,TSN,3368,CAN,3370,,0,738 HU,2660,TSN,3368,CIH,6343,,0,738 HU,2660,TSN,3368,HRB,3400,,0,738 HU,2660,TSN,3368,LHW,3378,,0,738 HU,2660,TSN,3368,SHA,3391,,0,738 HU,2660,TSN,3368,SZX,3374,,0,738 HU,2660,TVS,8858,CAN,3370,,0,738 HU,2660,TXL,351,ARN,737,,0,738 320 319 321 HU,2660,TXL,351,BRU,302,,0,319 HU,2660,TXL,351,CGN,344,,0,738 HU,2660,TXL,351,CPH,609,,0,738 73G HU,2660,TXL,351,DUS,345,,0,320 321 HU,2660,TXL,351,FKB,4166,Y,0,73G HU,2660,TXL,351,FRA,340,,0,320 HU,2660,TXL,351,GOT,687,,0,73G HU,2660,TXL,351,MUC,346,,0,738 HU,2660,TXL,351,NUE,347,,0,DH4 HU,2660,TXL,351,OSL,644,,0,319 HU,2660,TXL,351,PEK,3364,,0,330 HU,2660,TXL,351,SCN,349,Y,0,73G HU,2660,TXL,351,STR,350,,0,320 HU,2660,TXL,351,VIE,1613,Y,0,320 E90 HU,2660,TXL,351,ZRH,1678,Y,0,321 319 320 HU,2660,TYN,3369,CAN,3370,,0,738 HU,2660,TYN,3369,CIH,6343,,0,738 HU,2660,TYN,3369,CSX,3371,,0,738 HU,2660,TYN,3369,DLC,3404,,0,738 HU,2660,TYN,3369,HAK,4120,,0,738 HU,2660,TYN,3369,HFE,3389,,0,738 HU,2660,TYN,3369,HGH,3386,,0,738 HU,2660,TYN,3369,KWL,3372,,0,738 HU,2660,TYN,3369,PVG,3406,,0,738 HU,2660,TYN,3369,SHA,3391,,0,738 HU,2660,TYN,3369,SZX,3374,,0,738 HU,2660,URC,3399,AKU,6404,,0,738 HU,2660,URC,3399,CAN,3370,,0,738 HU,2660,URC,3399,CGO,3375,,0,738 HU,2660,URC,3399,CKG,3393,,0,738 HU,2660,URC,3399,CTU,3395,,0,738 HU,2660,URC,3399,KHG,3397,,0,738 HU,2660,URC,3399,KRL,6407,,0,738 HU,2660,URC,3399,LHW,3378,,0,738 HU,2660,URC,3399,OVB,4078,,0,320 HU,2660,URC,3399,PEK,3364,,0,738 HU,2660,URC,3399,SHA,3391,,0,738 HU,2660,URC,3399,SZX,3374,,0,738 HU,2660,URC,3399,WUH,3376,,0,738 HU,2660,URC,3399,XIY,3379,,0,738 HU,2660,UYN,6368,PEK,3364,,0,738 HU,2660,VIE,1613,TXL,351,,0,321 320 E90 HU,2660,WEF,6388,CAN,3370,,0,738 HU,2660,WEF,6388,DLC,3404,,0,738 HU,2660,WEF,6388,HGH,3386,,0,738 HU,2660,WEF,6388,NGB,3387,,0,738 HU,2660,WEF,6388,PEK,3364,,0,738 HU,2660,WEF,6388,PVG,3406,,0,738 HU,2660,WEF,6388,SHE,4144,,0,738 HU,2660,WNZ,6392,CAN,3370,,0,738 HU,2660,WNZ,6392,CKG,3393,,0,738 HU,2660,WNZ,6392,PEK,3364,,0,738 HU,2660,WNZ,6392,WUH,3376,,0,738 HU,2660,WUA,6955,PEK,3364,,0,738 HU,2660,WUA,6955,XIY,3379,,0,738 HU,2660,WUH,3376,DLC,3404,,0,738 HU,2660,WUH,3376,HAK,4120,,0,738 HU,2660,WUH,3376,HGH,3386,,0,738 HU,2660,WUH,3376,KWE,3394,,0,738 HU,2660,WUH,3376,PEK,3364,,0,738 HU,2660,WUH,3376,TAO,3390,,0,738 HU,2660,WUH,3376,URC,3399,,0,738 HU,2660,WUH,3376,WNZ,6392,,0,738 HU,2660,WUH,3376,XIY,3379,,0,738 HU,2660,XFN,6360,SZX,3374,,0,738 HU,2660,XIY,3379,CAN,3370,,0,738 HU,2660,XIY,3379,CKG,3393,,0,738 HU,2660,XIY,3379,CSX,3371,,0,738 HU,2660,XIY,3379,CTU,3395,,0,738 HU,2660,XIY,3379,DLC,3404,,0,738 HU,2660,XIY,3379,FOC,3385,,0,738 HU,2660,XIY,3379,HET,6345,,0,738 HU,2660,XIY,3379,HGH,3386,,0,738 HU,2660,XIY,3379,INC,4085,,0,738 HU,2660,XIY,3379,KHN,3384,,0,738 HU,2660,XIY,3379,KMG,3382,,0,738 HU,2660,XIY,3379,LHW,3378,,0,738 HU,2660,XIY,3379,NKG,3388,,0,738 HU,2660,XIY,3379,PEK,3364,,0,787 738 HU,2660,XIY,3379,PVG,3406,,0,738 HU,2660,XIY,3379,SYX,4030,,0,738 HU,2660,XIY,3379,SZX,3374,,0,738 333 HU,2660,XIY,3379,TAO,3390,,0,738 HU,2660,XIY,3379,TNA,4108,,0,738 HU,2660,XIY,3379,TPE,2276,,0,738 HU,2660,XIY,3379,URC,3399,,0,738 HU,2660,XIY,3379,WUA,6955,,0,738 HU,2660,XIY,3379,WUH,3376,,0,738 HU,2660,XIY,3379,XMN,3383,,0,738 HU,2660,XIY,3379,XNN,6366,,0,738 HU,2660,XIY,3379,YIW,6394,,0,738 HU,2660,XMN,3383,CGO,3375,,0,738 HU,2660,XMN,3383,CIH,6343,,0,738 HU,2660,XMN,3383,CSX,3371,,0,738 HU,2660,XMN,3383,HAK,4120,,0,738 HU,2660,XMN,3383,HFE,3389,,0,738 HU,2660,XMN,3383,KHN,3384,,0,738 HU,2660,XMN,3383,PEK,3364,,0,738 HU,2660,XMN,3383,SHE,4144,,0,738 HU,2660,XMN,3383,XIY,3379,,0,738 HU,2660,XMN,3383,XUZ,4149,,0,738 HU,2660,XNN,6366,CKG,3393,,0,738 HU,2660,XNN,6366,PEK,3364,,0,738 HU,2660,XNN,6366,XIY,3379,,0,738 HU,2660,XUZ,4149,CSX,3371,,0,738 HU,2660,XUZ,4149,SZX,3374,,0,738 HU,2660,XUZ,4149,XMN,3383,,0,738 HU,2660,YIH,6361,CAN,3370,,0,738 HU,2660,YIH,6361,PEK,3364,,0,738 HU,2660,YIH,6361,SZX,3374,,0,738 HU,2660,YIW,6394,XIY,3379,,0,738 HU,2660,YYZ,193,PEK,3364,,0,787 HU,2660,ZRH,1678,TXL,351,,0,319 738 320 HV,5039,ACE,1055,AMS,580,,0,73H HV,5039,ADB,1706,AMS,580,,0,73H 73W HV,5039,AGA,1064,AMS,580,,0,73H HV,5039,AGP,1230,AMS,580,,0,73H 73W HV,5039,AGP,1230,EIN,585,,0,73H 73W HV,5039,AGP,1230,RTM,591,,0,73H 73W HV,5039,AJA,1324,OLB,1520,,0,73H HV,5039,ALC,1212,AMS,580,,0,73H 73W HV,5039,ALC,1212,EIN,585,,0,73W 73H HV,5039,ALC,1212,RTM,591,,0,73H 73W HV,5039,AMS,580,ACE,1055,,0,73H HV,5039,AMS,580,ADB,1706,,0,73W HV,5039,AMS,580,AGP,1230,,0,73H 73W HV,5039,AMS,580,AJA,1324,,0,73H HV,5039,AMS,580,ALC,1212,,0,73H 73W HV,5039,AMS,580,ATH,3941,,0,73H 73W HV,5039,AMS,580,AYT,1688,,0,73H 73W HV,5039,AMS,580,BCN,1218,,0,73H 73W HV,5039,AMS,580,BJV,4315,,0,73H HV,5039,AMS,580,BRI,1501,,0,73H 73W HV,5039,AMS,580,CFU,1460,,0,73H HV,5039,AMS,580,CHQ,1474,,0,73H HV,5039,AMS,580,CMN,1074,,0,73W 73H HV,5039,AMS,580,CTA,1509,,0,73H 73W HV,5039,AMS,580,DLM,1715,,0,73H HV,5039,AMS,580,EBL,3989,,0,73H HV,5039,AMS,580,FAO,1626,,0,73H HV,5039,AMS,580,FNC,4091,,0,73H HV,5039,AMS,580,FUE,1051,,0,73H HV,5039,AMS,580,GRO,1222,,0,73H HV,5039,AMS,580,HER,1452,,0,73H HV,5039,AMS,580,IBZ,1225,,0,73H 73W HV,5039,AMS,580,INN,1610,,0,73H HV,5039,AMS,580,JKH,1450,,0,73W HV,5039,AMS,580,JMK,1468,,0,73H HV,5039,AMS,580,JTR,1479,,0,73H HV,5039,AMS,580,KGS,1458,,0,73H HV,5039,AMS,580,KIT,1454,,0,73W HV,5039,AMS,580,LIS,1638,,0,73H 73W HV,5039,AMS,580,LPA,1054,,0,73H HV,5039,AMS,580,MLA,1606,,0,73H HV,5039,AMS,580,NAP,1561,,0,73H 73W HV,5039,AMS,580,NCE,1354,,0,73H 73W HV,5039,AMS,580,OPO,1636,,0,73W 73H HV,5039,AMS,580,PFO,1198,,0,73H HV,5039,AMS,580,PMI,3998,,0,73H 73W HV,5039,AMS,580,PMO,1512,,0,73H HV,5039,AMS,580,PSA,1562,,0,73H HV,5039,AMS,580,PVK,1470,,0,73H HV,5039,AMS,580,RAK,1075,,0,73H HV,5039,AMS,580,RHO,1472,,0,73H HV,5039,AMS,580,SAW,4317,,0,73H 73W HV,5039,AMS,580,SKG,1486,,0,73H HV,5039,AMS,580,SMI,1476,,0,73H HV,5039,AMS,580,SPC,1053,,0,73H HV,5039,AMS,580,SUF,1508,,0,73H HV,5039,AMS,580,SVQ,1253,,0,73H HV,5039,AMS,580,TFS,1056,,0,73W 73H HV,5039,AMS,580,TLV,1590,,0,73H HV,5039,AMS,580,TRN,1526,,0,73H 73W HV,5039,AMS,580,VCE,1551,,0,73H 73W HV,5039,AMS,580,VLC,1246,,0,73H 73W HV,5039,AMS,580,VRN,1550,,0,73H HV,5039,AMS,580,ZTH,1488,,0,73H HV,5039,ATH,3941,AMS,580,,0,73H 73W HV,5039,ATH,3941,EIN,585,,0,73H 73W HV,5039,AYT,1688,AMS,580,,0,73H HV,5039,AYT,1688,EIN,585,,0,73H 73W HV,5039,AYT,1688,GRQ,586,,0,73H HV,5039,AYT,1688,RTM,591,,0,73W 73H HV,5039,BCN,1218,AMS,580,,0,73H 73W HV,5039,BCN,1218,EIN,585,,0,73W 73H HV,5039,BCN,1218,RTM,591,,0,73H 73W HV,5039,BJV,4315,ADB,1706,,0,73H HV,5039,BJV,4315,AMS,580,,0,73H HV,5039,BJV,4315,EIN,585,,0,73H HV,5039,BJV,4315,RTM,591,,0,73H HV,5039,BLQ,1538,EIN,585,,0,73W HV,5039,BRI,1501,AMS,580,,0,73H 73W HV,5039,BUD,1489,RTM,591,,0,73W 73H HV,5039,CFU,1460,AMS,580,,0,73H HV,5039,CFU,1460,EFL,1455,,0,73H HV,5039,CHQ,1474,AMS,580,,0,73H HV,5039,CHQ,1474,ZTH,1488,,0,73H HV,5039,CMN,1074,AMS,580,,0,73W 73H HV,5039,CPH,609,EIN,585,,0,73W HV,5039,CTA,1509,AMS,580,,0,73H 73W HV,5039,DLM,1715,AMS,580,,0,73H HV,5039,DLM,1715,RTM,591,,0,73H HV,5039,EBL,3989,AMS,580,,0,73H HV,5039,EFL,1455,AMS,580,,0,73H HV,5039,EGC,1265,RTM,591,,0,73H 73W HV,5039,EIN,585,AGP,1230,,0,73H 73W HV,5039,EIN,585,ALC,1212,,0,73W 73H HV,5039,EIN,585,ATH,3941,,0,73H 73W HV,5039,EIN,585,AYT,1688,,0,73W HV,5039,EIN,585,BCN,1218,,0,73W 73H HV,5039,EIN,585,BJV,4315,,0,73H HV,5039,EIN,585,BLQ,1538,,0,73W HV,5039,EIN,585,CPH,609,,0,73W HV,5039,EIN,585,DLM,1715,,0,73H HV,5039,EIN,585,FAO,1626,,0,73H 73W HV,5039,EIN,585,GRQ,586,,0,73H HV,5039,EIN,585,IBZ,1225,,0,73W 73H HV,5039,EIN,585,INN,1610,,0,73W HV,5039,EIN,585,LIS,1638,,0,73H 73W HV,5039,EIN,585,LPA,1054,,0,73W HV,5039,EIN,585,MAD,1229,,0,73W HV,5039,EIN,585,NAP,1561,,0,73W HV,5039,EIN,585,NCE,1354,,0,73W 73H HV,5039,EIN,585,PMI,3998,,0,73W 73H HV,5039,EIN,585,RTM,591,,0,73H HV,5039,EIN,585,SAW,4317,,0,73H 73W HV,5039,EIN,585,TXL,351,,0,73W HV,5039,EIN,585,VCE,1551,,0,73W HV,5039,EIN,585,VLC,1246,,0,73H 73W HV,5039,FAO,1626,AMS,580,,0,73H HV,5039,FAO,1626,EIN,585,,0,73H 73W HV,5039,FAO,1626,GRQ,586,,0,73H HV,5039,FAO,1626,RTM,591,,0,73H 73W HV,5039,FAO,1626,SID,1102,,0,73H HV,5039,FCO,1555,RTM,591,,0,73W 73H HV,5039,FNC,4091,AMS,580,,0,73H HV,5039,FUE,1051,ACE,1055,,0,73H HV,5039,FUE,1051,AMS,580,,0,73H HV,5039,GRO,1222,AMS,580,,0,73H HV,5039,GRO,1222,RTM,591,,0,73H 73W HV,5039,GRQ,586,FAO,1626,,0,73H HV,5039,GRQ,586,LPA,1054,,0,73H HV,5039,GRQ,586,MST,582,,0,73H HV,5039,GRQ,586,PMI,3998,,0,73H HV,5039,HER,1452,AMS,580,,0,73H HV,5039,HER,1452,GRQ,586,,0,73H HV,5039,HER,1452,RTM,591,,0,73H HV,5039,IBZ,1225,AMS,580,,0,73H 73W HV,5039,IBZ,1225,EIN,585,,0,73W 73H HV,5039,IBZ,1225,RTM,591,,0,73H 73W HV,5039,INN,1610,AMS,580,,0,73H HV,5039,INN,1610,EIN,585,,0,73W HV,5039,JKH,1450,MJT,1469,,0,73W HV,5039,JMK,1468,JTR,1479,,0,73H HV,5039,JTR,1479,AMS,580,,0,73H HV,5039,JTR,1479,VOL,1448,,0,73H HV,5039,KGS,1458,AMS,580,,0,73H HV,5039,KIT,1454,KLX,1456,,0,73W HV,5039,KLX,1456,AMS,580,,0,73W HV,5039,LEI,1213,AMS,580,,0,73H HV,5039,LIS,1638,AMS,580,,0,73H 73W HV,5039,LIS,1638,EIN,585,,0,73H 73W HV,5039,LPA,1054,ACE,1055,,0,73H HV,5039,LPA,1054,AMS,580,,0,73H HV,5039,LPA,1054,EIN,585,,0,73H 73W HV,5039,MAD,1229,EIN,585,,0,73W HV,5039,MAD,1229,RTM,591,,0,73H 73W HV,5039,MJT,1469,AMS,580,,0,73W HV,5039,MLA,1606,AMS,580,,0,73H HV,5039,MLA,1606,NBE,7447,,0,73H HV,5039,MPL,1359,RTM,591,,0,73W 73H HV,5039,MST,582,AYT,1688,,0,73H HV,5039,MST,582,HER,1452,,0,73H HV,5039,NAP,1561,AMS,580,,0,73H 73W HV,5039,NAP,1561,EIN,585,,0,73W HV,5039,NBE,7447,AMS,580,,0,73H HV,5039,NCE,1354,AMS,580,,0,73H 73W HV,5039,NCE,1354,EIN,585,,0,73W 73H HV,5039,NCE,1354,RTM,591,,0,73W 73H HV,5039,OLB,1520,AMS,580,,0,73H HV,5039,OPO,1636,AMS,580,,0,73W 73H HV,5039,PFO,1198,AMS,580,,0,73H HV,5039,PMI,3998,AMS,580,,0,73H 73W HV,5039,PMI,3998,EIN,585,,0,73W 73H HV,5039,PMI,3998,GRQ,586,,0,73H HV,5039,PMI,3998,RTM,591,,0,73H HV,5039,PMO,1512,CTA,1509,,0,73H HV,5039,PRG,1587,RTM,591,,0,73W 73H HV,5039,PSA,1562,AMS,580,,0,73H HV,5039,PVK,1470,AMS,580,,0,73H HV,5039,RAK,1075,AGA,1064,,0,73H HV,5039,RAK,1075,AMS,580,,0,73H HV,5039,RAK,1075,RTM,591,,0,73W HV,5039,RHO,1472,AMS,580,,0,73H HV,5039,RHO,1472,EIN,585,,0,73H HV,5039,RTM,591,AGP,1230,,0,73H 73W HV,5039,RTM,591,ALC,1212,,0,73H 73W HV,5039,RTM,591,AYT,1688,,0,73W 73H HV,5039,RTM,591,BCN,1218,,0,73H 73W HV,5039,RTM,591,BJV,4315,,0,73H HV,5039,RTM,591,BUD,1489,,0,73W 73H HV,5039,RTM,591,EGC,1265,,0,73H 73W HV,5039,RTM,591,EIN,585,,0,73H HV,5039,RTM,591,FAO,1626,,0,73H 73W HV,5039,RTM,591,FCO,1555,,0,73W 73H HV,5039,RTM,591,GRO,1222,,0,73H 73W HV,5039,RTM,591,HER,1452,,0,73H HV,5039,RTM,591,IBZ,1225,,0,73H 73W HV,5039,RTM,591,MAD,1229,,0,73H 73W HV,5039,RTM,591,MPL,1359,,0,73W 73H HV,5039,RTM,591,NCE,1354,,0,73W 73H HV,5039,RTM,591,PMI,3998,,0,73H HV,5039,RTM,591,PRG,1587,,0,73W 73H HV,5039,RTM,591,RAK,1075,,0,73W HV,5039,RTM,591,RHO,1472,,0,73H HV,5039,RTM,591,SAW,4317,,0,73H 73W HV,5039,RTM,591,SPU,1206,,0,73W HV,5039,RTM,591,TLN,1438,,0,73W 73H HV,5039,RTM,591,VIE,1613,,0,73W HV,5039,RTM,591,VLC,1246,,0,73W 73H HV,5039,SAW,4317,AMS,580,,0,73H 73W HV,5039,SAW,4317,EIN,585,,0,73H 73W HV,5039,SAW,4317,RTM,591,,0,73H 73W HV,5039,SID,1102,AMS,580,,0,73H HV,5039,SKG,1486,AMS,580,,0,73H HV,5039,SMI,1476,RHO,1472,,0,73H HV,5039,SPC,1053,AMS,580,,0,73H HV,5039,SPU,1206,RTM,591,,0,73W HV,5039,SUF,1508,CTA,1509,,0,73H HV,5039,SVQ,1253,AMS,580,,0,73H HV,5039,SVQ,1253,LEI,1213,,0,73H HV,5039,TFS,1056,AMS,580,,0,73W 73H HV,5039,TFS,1056,LPA,1054,,0,73H HV,5039,TLN,1438,RTM,591,,0,73W 73H HV,5039,TLV,1590,AMS,580,,0,73H HV,5039,TRN,1526,AMS,580,,0,73H 73W HV,5039,TXL,351,EIN,585,,0,73W HV,5039,VCE,1551,AMS,580,,0,73H 73W HV,5039,VCE,1551,EIN,585,,0,73W HV,5039,VIE,1613,RTM,591,,0,73W HV,5039,VLC,1246,AMS,580,,0,73H 73W HV,5039,VLC,1246,EIN,585,,0,73H 73W HV,5039,VLC,1246,RTM,591,,0,73H 73W HV,5039,VOL,1448,AMS,580,,0,73H HV,5039,VRN,1550,AMS,580,,0,73H HV,5039,ZTH,1488,AMS,580,,0,73H HW,2748,YEV,54,YGH,4239,,0,DHT HW,2748,YGH,4239,YEV,54,,0,DHT HW,2748,YGH,4239,YVQ,155,,0,DHT HW,2748,YVQ,155,YGH,4239,,0,DHT HW,2748,YVQ,155,ZFN,4238,,0,DHT HW,2748,YWJ,4237,YZF,196,,0,DHT HW,2748,YWJ,4237,ZFN,4238,,0,DHT HW,2748,YZF,196,YWJ,4237,,0,DHT HW,2748,ZFN,4238,YVQ,155,,0,DHT HW,2748,ZFN,4238,YWJ,4237,,0,DHT HX,2773,BKK,3885,HKG,3077,,0,333 332 HX,2773,CKG,3393,HKG,3077,,0,320 HX,2773,CTU,3395,HKG,3077,,0,332 HX,2773,DPS,3940,HKG,3077,,0,333 332 HX,2773,FOC,3385,HKG,3077,,0,320 332 HX,2773,HAK,4120,HKG,3077,,0,320 HX,2773,HAN,3199,HKG,3077,,0,320 HX,2773,HGH,3386,HKG,3077,,0,320 332 HX,2773,HKG,3077,BKK,3885,,0,332 333 HX,2773,HKG,3077,CKG,3393,,0,320 HX,2773,HKG,3077,CTU,3395,,0,332 HX,2773,HKG,3077,DPS,3940,,0,332 333 HX,2773,HKG,3077,FOC,3385,,0,332 320 HX,2773,HKG,3077,HAK,4120,,0,320 HX,2773,HKG,3077,HAN,3199,,0,320 HX,2773,HKG,3077,HGH,3386,,0,332 320 HX,2773,HKG,3077,KOJ,2307,,0,320 HX,2773,HKG,3077,KWE,3394,,0,320 HX,2773,HKG,3077,KWL,3372,,0,320 HX,2773,HKG,3077,NKG,3388,,0,332 HX,2773,HKG,3077,NNG,3373,,0,320 HX,2773,HKG,3077,OKA,2384,,0,332 333 HX,2773,HKG,3077,PEK,3364,,0,333 332 320 HX,2773,HKG,3077,PVG,3406,,0,332 333 738 HX,2773,HKG,3077,SGN,3205,,0,320 HX,2773,HKG,3077,SHA,3391,,0,333 HX,2773,HKG,3077,SYX,4030,,0,320 HX,2773,HKG,3077,TPE,2276,,0,333 332 HX,2773,HKG,3077,TSN,3368,,0,320 HX,2773,HKG,3077,TYN,3369,,0,320 HX,2773,HKG,3077,XMN,3383,,0,320 HX,2773,HKG,3077,XUZ,4149,,0,320 HX,2773,HRB,3400,HKG,3077,,0,320 HX,2773,KOJ,2307,HKG,3077,,0,320 HX,2773,KWE,3394,HKG,3077,,0,320 HX,2773,KWL,3372,HKG,3077,,0,320 HX,2773,NKG,3388,HKG,3077,,0,332 HX,2773,NNG,3373,HKG,3077,,0,320 HX,2773,OKA,2384,HKG,3077,,0,332 333 HX,2773,PEK,3364,HKG,3077,,0,320 332 333 HX,2773,PVG,3406,HKG,3077,,0,332 333 738 HX,2773,SGN,3205,HKG,3077,,0,320 HX,2773,SHA,3391,HKG,3077,,0,333 HX,2773,SYX,4030,HKG,3077,,0,320 HX,2773,TPE,2276,HKG,3077,,0,333 332 HX,2773,TSN,3368,HKG,3077,,0,320 HX,2773,TYN,3369,HKG,3077,,0,320 HX,2773,XMN,3383,HKG,3077,,0,320 HX,2773,XUZ,4149,HKG,3077,,0,320 HY,5281,AER,2965,TAS,2983,,0,767 HY,5281,ALA,2908,TAS,2983,,0,320 HY,5281,ATQ,3081,TAS,2983,,0,320 HY,5281,AZN,6148,DME,4029,,0,757 HY,5281,AZN,6148,LED,2948,,0,757 HY,5281,AZN,6148,TAS,2983,,0,757 HY,5281,BHK,2980,DME,4029,,0,320 757 HY,5281,BHK,2980,LED,2948,,0,757 HY,5281,BHK,2980,TAS,2983,,0,I14 320 757 HY,5281,BKK,3885,TAS,2983,,0,764 763 HY,5281,CDG,1382,TAS,2983,,0,767 HY,5281,CDG,1382,UGC,6152,,0,764 HY,5281,DEL,3093,TAS,2983,,0,763 764 HY,5281,DME,4029,AZN,6148,,0,757 HY,5281,DME,4029,BHK,2980,,0,320 757 HY,5281,DME,4029,FEG,6149,,0,320 HY,5281,DME,4029,KSQ,6153,,0,320 HY,5281,DME,4029,NCU,6151,,0,320 HY,5281,DME,4029,NMA,6150,,0,752 320 HY,5281,DME,4029,NVI,6485,,0,320 HY,5281,DME,4029,SKD,2981,,0,757 320 HY,5281,DME,4029,TAS,2983,,0,764 767 HY,5281,DME,4029,TMJ,6154,,0,757 HY,5281,DME,4029,UGC,6152,,0,763 320 HY,5281,DXB,2188,TAS,2983,,0,763 HY,5281,FCO,1555,TAS,2983,,0,764 HY,5281,FEG,6149,DME,4029,,0,320 HY,5281,FEG,6149,KZN,2990,,0,320 HY,5281,FEG,6149,LED,2948,,0,757 HY,5281,FEG,6149,TAS,2983,,0,757 320 HY,5281,FRA,340,TAS,2983,,0,763 764 752 HY,5281,FRU,2912,TAS,2983,,0,320 HY,5281,GYD,2922,TAS,2983,,0,320 HY,5281,ICN,3930,TAS,2983,,0,764 767 HY,5281,IST,1701,TAS,2983,,0,767 HY,5281,JFK,3797,RIX,3953,,0,763 764 HY,5281,KBP,2939,TAS,2983,,0,763 764 HY,5281,KGD,2952,TAS,2983,,0,752 HY,5281,KJA,4374,TAS,2983,,0,320 HY,5281,KRR,2960,TAS,2983,,0,320 HY,5281,KSQ,6153,DME,4029,,0,320 HY,5281,KSQ,6153,LED,2948,,0,320 HY,5281,KSQ,6153,TAS,2983,,0,I14 320 HY,5281,KUF,2993,TAS,2983,,0,320 HY,5281,KUL,3304,SIN,3316,,0,764 HY,5281,KUL,3304,TAS,2983,,0,764 HY,5281,KZN,2990,FEG,6149,,0,320 HY,5281,KZN,2990,SKD,2981,,0,320 HY,5281,KZN,2990,TAS,2983,,0,320 HY,5281,LED,2948,AZN,6148,,0,757 HY,5281,LED,2948,BHK,2980,,0,757 HY,5281,LED,2948,FEG,6149,,0,757 HY,5281,LED,2948,KSQ,6153,,0,320 HY,5281,LED,2948,NMA,6150,,0,752 HY,5281,LED,2948,NVI,6485,,0,320 HY,5281,LED,2948,SKD,2981,,0,757 320 HY,5281,LED,2948,TAS,2983,,0,764 320 HY,5281,LED,2948,UGC,6152,,0,320 HY,5281,LHR,507,TAS,2983,,0,757 HY,5281,MRV,2962,TAS,2983,,0,320 HY,5281,MXP,1524,UGC,6152,,0,764 HY,5281,NCU,6151,DME,4029,,0,320 HY,5281,NCU,6151,TAS,2983,,0,I14 320 HY,5281,NMA,6150,DME,4029,,0,752 320 HY,5281,NMA,6150,LED,2948,,0,752 HY,5281,NMA,6150,OVB,4078,,0,320 HY,5281,NMA,6150,SVX,2975,,0,320 HY,5281,NMA,6150,TAS,2983,,0,752 320 HY,5281,NRT,2279,TAS,2983,,0,764 HY,5281,NVI,6485,DME,4029,,0,320 HY,5281,NVI,6485,LED,2948,,0,320 HY,5281,NVI,6485,TAS,2983,,0,I14 320 HY,5281,OVB,4078,NMA,6150,,0,320 HY,5281,OVB,4078,TAS,2983,,0,320 HY,5281,PEK,3364,TAS,2983,,0,764 767 HY,5281,RIX,3953,JFK,3797,,0,763 764 HY,5281,RIX,3953,TAS,2983,,0,764 763 HY,5281,ROV,2964,TAS,2983,,0,320 HY,5281,SHJ,2191,TAS,2983,,0,763 HY,5281,SIN,3316,KUL,3304,,0,764 HY,5281,SIN,3316,TAS,2983,,0,764 HY,5281,SKD,2981,DME,4029,,0,757 320 HY,5281,SKD,2981,KZN,2990,,0,320 HY,5281,SKD,2981,LED,2948,,0,757 320 HY,5281,SKD,2981,TAS,2983,,0,757 320 HY,5281,SVX,2975,NMA,6150,,0,320 HY,5281,SVX,2975,TAS,2983,,0,757 HY,5281,TAS,2983,AER,2965,,0,767 HY,5281,TAS,2983,ALA,2908,,0,320 HY,5281,TAS,2983,ATQ,3081,,0,320 HY,5281,TAS,2983,AZN,6148,,0,757 HY,5281,TAS,2983,BHK,2980,,0,I14 320 757 HY,5281,TAS,2983,BKK,3885,,0,764 763 HY,5281,TAS,2983,CDG,1382,,0,767 764 HY,5281,TAS,2983,DEL,3093,,0,763 764 HY,5281,TAS,2983,DME,4029,,0,764 767 HY,5281,TAS,2983,DXB,2188,,0,763 HY,5281,TAS,2983,FCO,1555,,0,764 HY,5281,TAS,2983,FEG,6149,,0,320 757 HY,5281,TAS,2983,FRA,340,,0,763 764 752 HY,5281,TAS,2983,FRU,2912,,0,320 HY,5281,TAS,2983,GYD,2922,,0,320 HY,5281,TAS,2983,ICN,3930,,0,764 767 HY,5281,TAS,2983,IST,1701,,0,767 HY,5281,TAS,2983,KBP,2939,,0,763 HY,5281,TAS,2983,KGD,2952,,0,752 HY,5281,TAS,2983,KJA,4374,,0,320 HY,5281,TAS,2983,KRR,2960,,0,320 HY,5281,TAS,2983,KSQ,6153,,0,I14 320 HY,5281,TAS,2983,KUF,2993,,0,320 HY,5281,TAS,2983,KUL,3304,,0,764 HY,5281,TAS,2983,KZN,2990,,0,320 HY,5281,TAS,2983,LED,2948,,0,764 320 HY,5281,TAS,2983,LHR,507,,0,757 HY,5281,TAS,2983,MRV,2962,,0,320 HY,5281,TAS,2983,MXP,1524,,0,764 HY,5281,TAS,2983,NCU,6151,,0,320 I14 HY,5281,TAS,2983,NMA,6150,,0,752 320 HY,5281,TAS,2983,NRT,2279,,0,764 HY,5281,TAS,2983,NVI,6485,,0,I14 320 HY,5281,TAS,2983,OVB,4078,,0,320 HY,5281,TAS,2983,PEK,3364,,0,764 767 HY,5281,TAS,2983,PRG,1587,Y,0,319 HY,5281,TAS,2983,RIX,3953,,0,763 764 HY,5281,TAS,2983,ROV,2964,,0,320 HY,5281,TAS,2983,SHJ,2191,,0,763 HY,5281,TAS,2983,SIN,3316,,0,764 HY,5281,TAS,2983,SKD,2981,,0,757 320 HY,5281,TAS,2983,SVX,2975,,0,757 HY,5281,TAS,2983,TJM,4111,,0,752 HY,5281,TAS,2983,TLV,1590,,0,764 HY,5281,TAS,2983,TMJ,6154,,0,I14 757 HY,5281,TAS,2983,TSE,2910,,0,320 HY,5281,TAS,2983,UFA,2992,,0,320 HY,5281,TAS,2983,UGC,6152,,0,320 I14 763 HY,5281,TAS,2983,URC,3399,,0,764 HY,5281,TAS,2983,VOG,2967,,0,320 HY,5281,TJM,4111,TAS,2983,,0,752 HY,5281,TLV,1590,TAS,2983,,0,764 HY,5281,TMJ,6154,DME,4029,,0,757 HY,5281,TMJ,6154,TAS,2983,,0,I14 757 HY,5281,TSE,2910,TAS,2983,,0,320 HY,5281,UFA,2992,TAS,2983,,0,320 HY,5281,UGC,6152,BHK,2980,,0,320 HY,5281,UGC,6152,DME,4029,,0,763 320 HY,5281,UGC,6152,LED,2948,,0,320 HY,5281,UGC,6152,TAS,2983,,0,I14 320 763 764 HY,5281,UGC,6152,VOG,2967,,0,320 HY,5281,URC,3399,TAS,2983,,0,764 HY,5281,VOG,2967,TAS,2983,,0,320 HY,5281,VOG,2967,UGC,6152,,0,320 HZ,4808,BVV,7478,UUS,2933,,0,DH8 HZ,4808,CTS,2287,UUS,2933,,0,737 HZ,4808,DEE,8782,UUS,2933,,0,DH8 HZ,4808,EKS,\N,UUS,2933,,0,DH8 HZ,4808,HRB,3400,KHV,2927,,0,319 HZ,4808,ICN,3930,UUS,2933,,0,737 HZ,4808,KHV,2927,HRB,3400,,0,319 737 HZ,4808,KHV,2927,UUS,2933,,0,737 HZ,4808,NRT,2279,UUS,2933,,0,737 HZ,4808,OHH,7479,UUS,2933,,0,DH8 HZ,4808,UUS,2933,BVV,7478,,0,DH8 HZ,4808,UUS,2933,CTS,2287,,0,737 HZ,4808,UUS,2933,DEE,8782,,0,DH8 HZ,4808,UUS,2933,EKS,\N,,0,DH8 HZ,4808,UUS,2933,HRB,3400,,0,737 HZ,4808,UUS,2933,NRT,2279,,0,737 HZ,4808,UUS,2933,OHH,7479,,0,DH8 I4,19944,KLW,7205,KTN,3808,,0,CNA I4,19944,KTN,3808,KLW,7205,,0,CNA I6,10955,BHV,5939,KHI,2206,,0,733 I6,10955,BHV,5939,LHE,2207,,0,733 I6,10955,ISB,2223,KHI,2206,,0,733 I6,10955,ISB,2223,UET,2221,,0,733 I6,10955,KHI,2206,BHV,5939,,0,733 I6,10955,KHI,2206,ISB,2223,,0,733 I6,10955,KHI,2206,LHE,2207,,0,733 I6,10955,KHI,2206,LYP,2202,,0,733 I6,10955,KHI,2206,MUX,2214,,0,733 I6,10955,KHI,2206,PEW,2219,,0,733 I6,10955,KHI,2206,UET,2221,,0,733 I6,10955,LHE,2207,BHV,5939,,0,733 I6,10955,LHE,2207,KHI,2206,,0,733 I6,10955,LHE,2207,UET,2221,,0,733 I6,10955,LYP,2202,KHI,2206,,0,733 I6,10955,MUX,2214,KHI,2206,,0,733 I6,10955,PEW,2219,KHI,2206,,0,733 I6,10955,UET,2221,ISB,2223,,0,733 I6,10955,UET,2221,KHI,2206,,0,733 I6,10955,UET,2221,LHE,2207,,0,733 I8,18828,DME,4029,IJK,6141,,0,YK2 I8,18828,DME,4029,KRO,6146,,0,YK2 I8,18828,IJK,6141,DME,4029,,0,YK2 I8,18828,IJK,6141,LED,2948,,0,YK2 I8,18828,IJK,6141,SVX,2975,,0,AN4 I8,18828,KRO,6146,DME,4029,,0,YK2 I8,18828,LED,2948,IJK,6141,,0,YK2 I8,18828,SVX,2975,IJK,6141,,0,AN4 I9,116,FOR,2559,MXP,1524,,0,767 I9,116,LIN,1529,NAP,1561,Y,0,M80 737 I9,116,MXP,1524,FOR,2559,,0,767 I9,116,NAP,1561,LIN,1529,Y,0,737 M80 IB,2822,AAL,628,BCN,1218,Y,0,320 IB,2822,ABZ,532,LHR,507,Y,0,320 319 IB,2822,ACC,248,MAD,1229,,0,319 IB,2822,ACE,1055,BCN,1218,Y,0,320 IB,2822,ACE,1055,BIO,1216,Y,0,320 IB,2822,ACE,1055,LGW,502,Y,0,320 IB,2822,ACE,1055,MAD,1229,Y,0,32S IB,2822,AGP,1230,AMS,580,Y,0,320 IB,2822,AGP,1230,BCN,1218,Y,0,320 IB,2822,AGP,1230,BIO,1216,Y,0,320 IB,2822,AGP,1230,BRU,302,Y,0,320 IB,2822,AGP,1230,CMN,1074,Y,0,AT7 IB,2822,AGP,1230,CPH,609,Y,0,320 IB,2822,AGP,1230,CWL,488,Y,0,320 IB,2822,AGP,1230,DME,4029,Y,0,320 IB,2822,AGP,1230,FCO,1555,Y,0,320 IB,2822,AGP,1230,HAJ,352,Y,0,320 IB,2822,AGP,1230,HAM,342,Y,0,320 IB,2822,AGP,1230,LCY,503,Y,0,E90 IB,2822,AGP,1230,LGW,502,Y,0,319 734 320 IB,2822,AGP,1230,LPA,1054,Y,0,320 IB,2822,AGP,1230,LYS,1335,,0,320 IB,2822,AGP,1230,MAD,1229,Y,0,32S IB,2822,AGP,1230,MLN,1058,Y,0,AT7 IB,2822,AGP,1230,MUC,346,Y,0,320 IB,2822,AGP,1230,NTE,1418,Y,0,320 IB,2822,AGP,1230,ORY,1386,Y,0,320 IB,2822,AGP,1230,OVD,1214,Y,0,320 IB,2822,AGP,1230,PMI,3998,,0,320 IB,2822,AGP,1230,SCQ,1243,Y,0,320 IB,2822,AGP,1230,TFN,1057,Y,0,320 IB,2822,AGP,1230,TLS,1273,Y,0,320 IB,2822,AGP,1230,VLC,1246,Y,0,AT7 IB,2822,ALC,1212,AMS,580,Y,0,320 IB,2822,ALC,1212,BCN,1218,Y,0,320 IB,2822,ALC,1212,BIO,1216,Y,0,CR9 CR2 IB,2822,ALC,1212,BRU,302,Y,0,320 IB,2822,ALC,1212,CPH,609,Y,0,320 IB,2822,ALC,1212,CWL,488,Y,0,320 IB,2822,ALC,1212,DME,4029,Y,0,320 IB,2822,ALC,1212,FCO,1555,,0,320 IB,2822,ALC,1212,IBZ,1225,Y,0,CR9 AT7 CR2 IB,2822,ALC,1212,LGW,502,Y,0,319 734 IB,2822,ALC,1212,LPA,1054,Y,0,CR9 IB,2822,ALC,1212,MAD,1229,Y,0,32S IB,2822,ALC,1212,ORN,231,Y,0,320 IB,2822,ALC,1212,ORY,1386,Y,0,320 IB,2822,ALC,1212,PMI,3998,Y,0,320 IB,2822,ALG,210,BCN,1218,Y,0,320 IB,2822,ALG,210,MAD,1229,,0,319 IB,2822,AMM,2170,BCN,1218,Y,0,320 IB,2822,AMM,2170,MAD,1229,Y,0,319 320 IB,2822,AMS,580,AGP,1230,Y,0,320 IB,2822,AMS,580,ALC,1212,Y,0,320 IB,2822,AMS,580,BCN,1218,Y,0,320 IB,2822,AMS,580,BIO,1216,Y,0,320 IB,2822,AMS,580,IBZ,1225,Y,0,320 IB,2822,AMS,580,PMI,3998,Y,0,320 IB,2822,AMS,580,SVQ,1253,Y,0,320 IB,2822,AMS,580,VLC,1246,Y,0,320 IB,2822,ANU,2874,LGW,502,Y,0,777 IB,2822,ANU,2874,PUJ,1760,Y,0,777 IB,2822,ANU,2874,SKB,2891,Y,0,777 IB,2822,ANU,2874,TAB,2901,Y,0,777 IB,2822,AQP,2802,LIM,2789,Y,0,319 IB,2822,ARN,737,BCN,1218,Y,0,320 IB,2822,ARN,737,LHR,507,Y,0,320 321 319 IB,2822,ARN,737,MAD,1229,Y,0,32S IB,2822,ATH,3941,BCN,1218,Y,0,320 IB,2822,ATL,3682,LHR,507,Y,0,777 IB,2822,ATL,3682,MIA,3576,Y,0,738 IB,2822,ATL,3682,ORD,3830,Y,0,E75 IB,2822,AUH,2179,LHR,507,Y,0,777 IB,2822,AUH,2179,MCT,2194,Y,0,777 IB,2822,AUS,3673,LHR,507,,0,788 IB,2822,BAH,2057,DOH,11051,Y,0,777 IB,2822,BAH,2057,LHR,507,Y,0,777 IB,2822,BCN,1218,AAL,628,Y,0,320 IB,2822,BCN,1218,ACE,1055,Y,0,320 IB,2822,BCN,1218,AGP,1230,Y,0,320 IB,2822,BCN,1218,ALC,1212,Y,0,320 IB,2822,BCN,1218,ALG,210,Y,0,320 IB,2822,BCN,1218,AMM,2170,Y,0,320 IB,2822,BCN,1218,AMS,580,Y,0,320 IB,2822,BCN,1218,ARN,737,Y,0,320 IB,2822,BCN,1218,ATH,3941,Y,0,320 IB,2822,BCN,1218,BES,1403,Y,0,320 IB,2822,BCN,1218,BGO,636,Y,0,320 IB,2822,BCN,1218,BIO,1216,Y,0,320 IB,2822,BCN,1218,BJL,1050,Y,0,320 IB,2822,BCN,1218,BLQ,1538,Y,0,320 IB,2822,BCN,1218,BOD,1264,Y,0,320 IB,2822,BCN,1218,BRI,1501,Y,0,320 IB,2822,BCN,1218,BRU,302,Y,0,320 IB,2822,BCN,1218,CDG,1382,,0,320 IB,2822,BCN,1218,CMN,1074,Y,0,73G 320 738 IB,2822,BCN,1218,CPH,609,Y,0,320 IB,2822,BCN,1218,CTA,1509,,0,320 IB,2822,BCN,1218,CWL,488,Y,0,320 IB,2822,BCN,1218,DBV,1200,Y,0,320 IB,2822,BCN,1218,DKR,1084,,0,320 IB,2822,BCN,1218,DME,4029,Y,0,320 IB,2822,BCN,1218,DRS,338,Y,0,320 IB,2822,BCN,1218,DTM,373,,0,320 IB,2822,BCN,1218,DUS,345,Y,0,320 738 321 IB,2822,BCN,1218,EAS,1242,Y,0,320 319 IB,2822,BCN,1218,EDI,535,Y,0,320 IB,2822,BCN,1218,FCO,1555,Y,0,320 IB,2822,BCN,1218,FEZ,1066,Y,0,320 IB,2822,BCN,1218,FLR,1563,Y,0,320 IB,2822,BCN,1218,FRA,340,Y,0,320 IB,2822,BCN,1218,FUE,1051,Y,0,320 IB,2822,BCN,1218,GOA,1528,Y,0,320 IB,2822,BCN,1218,GOT,687,Y,0,320 IB,2822,BCN,1218,GRX,1223,Y,0,320 IB,2822,BCN,1218,HAJ,352,Y,0,320 IB,2822,BCN,1218,HAM,342,Y,0,320 IB,2822,BCN,1218,HEL,421,Y,0,321 320 IB,2822,BCN,1218,IBZ,1225,Y,0,320 IB,2822,BCN,1218,IEV,2944,Y,0,320 IB,2822,BCN,1218,JFK,3797,Y,0,763 IB,2822,BCN,1218,KBP,2939,Y,0,737 IB,2822,BCN,1218,LCG,1220,,0,320 IB,2822,BCN,1218,LED,2948,Y,0,320 IB,2822,BCN,1218,LEI,1213,Y,0,320 IB,2822,BCN,1218,LEJ,348,Y,0,319 320 IB,2822,BCN,1218,LEN,6756,Y,0,CR2 IB,2822,BCN,1218,LGW,502,Y,0,320 319 734 IB,2822,BCN,1218,LHR,507,Y,0,320 319 321 IB,2822,BCN,1218,LIL,1399,,0,320 IB,2822,BCN,1218,LIS,1638,Y,0,320 IB,2822,BCN,1218,LPA,1054,Y,0,320 IB,2822,BCN,1218,LUX,629,Y,0,320 IB,2822,BCN,1218,LYS,1335,Y,0,320 IB,2822,BCN,1218,MAD,1229,,0,321 319 320 IB,2822,BCN,1218,MAH,1231,Y,0,320 IB,2822,BCN,1218,MIA,3576,Y,0,763 IB,2822,BCN,1218,MLA,1606,Y,0,320 IB,2822,BCN,1218,MRS,1353,Y,0,320 IB,2822,BCN,1218,MUC,346,Y,0,320 IB,2822,BCN,1218,MXP,1524,Y,0,320 IB,2822,BCN,1218,NAP,1561,Y,0,320 IB,2822,BCN,1218,NCE,1354,Y,0,320 IB,2822,BCN,1218,NDR,5673,Y,0,320 IB,2822,BCN,1218,NTE,1418,Y,0,320 IB,2822,BCN,1218,NUE,347,Y,0,320 IB,2822,BCN,1218,OPO,1636,,0,320 IB,2822,BCN,1218,ORN,231,Y,0,320 IB,2822,BCN,1218,ORY,1386,Y,0,320 IB,2822,BCN,1218,OSL,644,Y,0,320 IB,2822,BCN,1218,OTP,1657,Y,0,320 IB,2822,BCN,1218,OVD,1214,Y,0,320 IB,2822,BCN,1218,PMI,3998,Y,0,320 IB,2822,BCN,1218,PMO,1512,Y,0,320 IB,2822,BCN,1218,PRG,1587,Y,0,320 319 IB,2822,BCN,1218,PSA,1562,Y,0,320 IB,2822,BCN,1218,RAK,1075,Y,0,320 IB,2822,BCN,1218,RGS,6757,Y,0,CR2 IB,2822,BCN,1218,RNS,1415,Y,0,320 IB,2822,BCN,1218,SCQ,1243,Y,0,320 IB,2822,BCN,1218,SDR,1251,Y,0,320 IB,2822,BCN,1218,SLM,1238,Y,0,CR2 IB,2822,BCN,1218,STR,350,Y,0,320 IB,2822,BCN,1218,SVG,666,Y,0,320 IB,2822,BCN,1218,SVQ,1253,Y,0,320 IB,2822,BCN,1218,TFN,1057,Y,0,320 IB,2822,BCN,1218,TFS,1056,Y,0,320 IB,2822,BCN,1218,TLS,1273,Y,0,320 IB,2822,BCN,1218,TLV,1590,Y,0,763 320 744 739 IB,2822,BCN,1218,TNG,1080,Y,0,320 73G IB,2822,BCN,1218,TRN,1526,Y,0,320 IB,2822,BCN,1218,TXL,351,Y,0,320 738 321 IB,2822,BCN,1218,VCE,1551,Y,0,320 IB,2822,BCN,1218,VGO,1250,Y,0,320 IB,2822,BCN,1218,VIE,1613,Y,0,320 321 IB,2822,BCN,1218,VLL,1247,Y,0,CR2 IB,2822,BCN,1218,WAW,679,,0,320 IB,2822,BCN,1218,XRY,1226,,0,320 IB,2822,BCN,1218,ZAG,1208,Y,0,320 IB,2822,BCN,1218,ZRH,1678,Y,0,320 IB,2822,BDA,4069,LGW,502,Y,0,777 IB,2822,BES,1403,BCN,1218,Y,0,320 IB,2822,BGI,2875,LGW,502,Y,0,777 IB,2822,BGO,636,BCN,1218,Y,0,320 IB,2822,BHD,467,LHR,507,Y,0,319 IB,2822,BIO,1216,ACE,1055,Y,0,320 IB,2822,BIO,1216,AGP,1230,Y,0,320 IB,2822,BIO,1216,ALC,1212,Y,0,CR9 CR2 IB,2822,BIO,1216,AMS,580,Y,0,320 IB,2822,BIO,1216,BCN,1218,Y,0,320 IB,2822,BIO,1216,FUE,1051,Y,0,320 IB,2822,BIO,1216,IBZ,1225,Y,0,320 IB,2822,BIO,1216,LCG,1220,Y,0,320 IB,2822,BIO,1216,LHR,507,,0,320 IB,2822,BIO,1216,LPA,1054,Y,0,320 IB,2822,BIO,1216,MAD,1229,,0,321 319 320 IB,2822,BIO,1216,MXP,1524,Y,0,320 IB,2822,BIO,1216,ORY,1386,Y,0,320 IB,2822,BIO,1216,PMI,3998,Y,0,320 CR9 IB,2822,BIO,1216,SCQ,1243,Y,0,CR9 IB,2822,BIO,1216,SVQ,1253,Y,0,320 IB,2822,BIO,1216,TFN,1057,Y,0,320 IB,2822,BIO,1216,TXL,351,Y,0,320 IB,2822,BIO,1216,VGO,1250,Y,0,CR9 IB,2822,BIO,1216,VLC,1246,Y,0,CR2 CR9 AT7 IB,2822,BJL,1050,BCN,1218,Y,0,320 IB,2822,BKK,3885,LHR,507,Y,0,777 IB,2822,BLQ,1538,BCN,1218,Y,0,320 IB,2822,BLQ,1538,MAD,1229,Y,0,CRK IB,2822,BLQ,1538,ORY,1386,,0,320 IB,2822,BOD,1264,BCN,1218,Y,0,320 IB,2822,BOD,1264,MAD,1229,Y,0,CRK CR9 IB,2822,BOD,1264,PMI,3998,Y,0,320 IB,2822,BOG,2709,MAD,1229,,0,345 346 IB,2822,BOS,3448,LHR,507,Y,0,777 744 IB,2822,BOS,3448,MAD,1229,,0,333 IB,2822,BRI,1501,BCN,1218,Y,0,320 IB,2822,BRI,1501,FLR,1563,,0,320 IB,2822,BRU,302,AGP,1230,Y,0,320 IB,2822,BRU,302,ALC,1212,Y,0,320 IB,2822,BRU,302,BCN,1218,Y,0,320 IB,2822,BRU,302,FCO,1555,,0,320 IB,2822,BRU,302,IBZ,1225,,0,320 IB,2822,BRU,302,LIS,1638,,0,320 IB,2822,BRU,302,MAD,1229,,0,321 320 IB,2822,BRU,302,OPO,1636,,0,320 IB,2822,BRU,302,PMI,3998,,0,320 IB,2822,BRU,302,SCQ,1243,,0,320 IB,2822,BRU,302,VCE,1551,,0,320 IB,2822,BRU,302,VLC,1246,Y,0,320 IB,2822,BUD,1489,LHR,507,Y,0,320 IB,2822,BWI,3849,LHR,507,Y,0,767 IB,2822,CAG,1519,FLR,1563,,0,320 IB,2822,CCS,2851,MAD,1229,,0,333 IB,2822,CDG,1382,BCN,1218,,0,320 IB,2822,CDG,1382,DFW,3670,Y,0,763 777 IB,2822,CDG,1382,JFK,3797,Y,0,763 757 IB,2822,CDG,1382,MIA,3576,Y,0,763 IB,2822,CDG,1382,ORD,3830,Y,0,763 IB,2822,CDG,1382,OVD,1214,Y,0,320 IB,2822,CDG,1382,SCQ,1243,Y,0,320 IB,2822,CLO,2715,BOG,2709,Y,0,320 IB,2822,CMN,1074,AGP,1230,Y,0,AT7 IB,2822,CMN,1074,BCN,1218,Y,0,73G 738 320 IB,2822,CMN,1074,MAD,1229,,0,320 319 IB,2822,CMN,1074,VLC,1246,Y,0,AT7 IB,2822,CPH,609,AGP,1230,Y,0,320 IB,2822,CPH,609,ALC,1212,Y,0,320 IB,2822,CPH,609,BCN,1218,Y,0,320 IB,2822,CPH,609,FLR,1563,Y,0,320 IB,2822,CPH,609,MAD,1229,Y,0,32S IB,2822,CPT,797,LHR,507,Y,0,744 IB,2822,CTA,1509,BCN,1218,Y,0,320 IB,2822,CTA,1509,FCO,1555,,0,320 IB,2822,CTA,1509,FLR,1563,Y,0,320 IB,2822,CUZ,2812,JUL,2792,Y,0,319 IB,2822,CWL,488,AGP,1230,Y,0,320 IB,2822,CWL,488,ALC,1212,Y,0,320 IB,2822,CWL,488,BCN,1218,Y,0,320 IB,2822,DBV,1200,BCN,1218,Y,0,320 IB,2822,DEN,3751,LHR,507,Y,0,777 IB,2822,DFW,3670,CDG,1382,Y,0,763 777 IB,2822,DFW,3670,FRA,340,Y,0,777 IB,2822,DFW,3670,LHR,507,Y,0,77W 744 777 IB,2822,DFW,3670,MAD,1229,Y,0,777 IB,2822,DKR,1084,BCN,1218,,0,320 IB,2822,DKR,1084,LPA,1054,,0,321 IB,2822,DKR,1084,MAD,1229,,0,321 319 IB,2822,DME,4029,AGP,1230,Y,0,320 IB,2822,DME,4029,ALC,1212,Y,0,320 IB,2822,DME,4029,BCN,1218,Y,0,320 IB,2822,DME,4029,MAD,1229,,0,319 IB,2822,DME,4029,PMI,3998,Y,0,320 IB,2822,DOH,11051,BAH,2057,Y,0,777 IB,2822,DRS,338,BCN,1218,Y,0,320 IB,2822,DTM,373,BCN,1218,,0,320 IB,2822,DUB,599,MAD,1229,Y,0,32S IB,2822,DUB,599,ORD,3830,Y,0,763 IB,2822,DUS,345,BCN,1218,Y,0,320 738 321 IB,2822,DUS,345,MAD,1229,Y,0,32S IB,2822,DUS,345,ORD,3830,Y,0,763 IB,2822,EAS,1242,BCN,1218,Y,0,320 IB,2822,EAS,1242,MAD,1229,Y,0,AT7 CR2 IB,2822,EDI,535,BCN,1218,Y,0,320 IB,2822,EDI,535,LHR,507,Y,0,321 320 IB,2822,EWR,3494,LHR,507,Y,0,777 788 IB,2822,EWR,3494,ORY,1386,Y,0,752 IB,2822,EZE,3988,MAD,1229,,0,346 342 345 IB,2822,FCO,1555,AGP,1230,Y,0,320 IB,2822,FCO,1555,ALC,1212,,0,320 IB,2822,FCO,1555,BCN,1218,Y,0,320 IB,2822,FCO,1555,BRU,302,,0,320 IB,2822,FCO,1555,CTA,1509,,0,320 IB,2822,FCO,1555,JFK,3797,Y,0,763 IB,2822,FCO,1555,MAD,1229,,0,321 319 IB,2822,FCO,1555,NTE,1418,Y,0,320 IB,2822,FCO,1555,ORD,3830,Y,0,763 IB,2822,FCO,1555,ORY,1386,,0,320 IB,2822,FCO,1555,PRG,1587,Y,0,320 IB,2822,FCO,1555,VLC,1246,Y,0,320 IB,2822,FEZ,1066,BCN,1218,Y,0,320 IB,2822,FLR,1563,BCN,1218,Y,0,320 IB,2822,FLR,1563,BRI,1501,,0,320 IB,2822,FLR,1563,CAG,1519,,0,320 IB,2822,FLR,1563,CPH,609,Y,0,320 IB,2822,FLR,1563,CTA,1509,Y,0,320 IB,2822,FLR,1563,LGW,502,,0,320 IB,2822,FLR,1563,MAD,1229,Y,0,320 IB,2822,FLR,1563,ORY,1386,Y,0,320 IB,2822,FLR,1563,PMO,1512,,0,320 IB,2822,FLR,1563,TXL,351,Y,0,320 IB,2822,FRA,340,BCN,1218,Y,0,320 IB,2822,FRA,340,DFW,3670,Y,0,777 IB,2822,FRA,340,MAD,1229,Y,0,32S IB,2822,FUE,1051,BCN,1218,Y,0,320 IB,2822,FUE,1051,BIO,1216,Y,0,320 IB,2822,FUE,1051,MAD,1229,Y,0,32S IB,2822,GIG,2560,MAD,1229,,0,342 333 345 346 IB,2822,GLA,534,LHR,507,Y,0,321 320 IB,2822,GOA,1528,BCN,1218,Y,0,320 IB,2822,GOT,687,BCN,1218,Y,0,320 IB,2822,GOT,687,LHR,507,Y,0,320 IB,2822,GRU,2564,MAD,1229,,0,345 342 346 IB,2822,GRX,1223,BCN,1218,Y,0,320 IB,2822,GRX,1223,LCY,503,Y,0,E90 IB,2822,GRX,1223,MAD,1229,Y,0,CR9 CRK CR2 IB,2822,GRX,1223,MLN,1058,Y,0,AT7 IB,2822,GRX,1223,PMI,3998,Y,0,320 IB,2822,GUA,1767,SAL,1892,,0,342 IB,2822,GVA,1665,MAD,1229,,0,320 319 IB,2822,GYE,2673,MAD,1229,,0,342 345 346 340 IB,2822,GYE,2673,UIO,2688,Y,0,319 IB,2822,HAJ,352,AGP,1230,Y,0,320 IB,2822,HAJ,352,BCN,1218,Y,0,320 IB,2822,HAM,342,AGP,1230,Y,0,320 IB,2822,HAM,342,BCN,1218,Y,0,320 IB,2822,HEL,421,BCN,1218,Y,0,321 320 IB,2822,HEL,421,JFK,3797,Y,0,330 IB,2822,HEL,421,MAD,1229,Y,0,321 IB,2822,IAD,3714,LHR,507,Y,0,744 777 IB,2822,IAH,3550,LHR,507,Y,0,744 777 IB,2822,IBZ,1225,ALC,1212,Y,0,CR9 AT7 CR2 IB,2822,IBZ,1225,AMS,580,Y,0,320 IB,2822,IBZ,1225,BCN,1218,Y,0,320 IB,2822,IBZ,1225,BIO,1216,Y,0,320 IB,2822,IBZ,1225,BRU,302,,0,320 IB,2822,IBZ,1225,LCY,503,Y,0,E70 E90 IB,2822,IBZ,1225,LHR,507,,0,319 320 IB,2822,IBZ,1225,MAD,1229,Y,0,CRK CR9 CR2 IB,2822,IBZ,1225,ORY,1386,Y,0,320 IB,2822,IBZ,1225,PMI,3998,Y,0,CR9 AT7 IB,2822,IBZ,1225,VLC,1246,Y,0,AT7 CR2 CR9 IB,2822,IEV,2944,BCN,1218,Y,0,320 IB,2822,ILD,7459,PMI,3998,Y,0,CR9 IB,2822,JFK,3797,BCN,1218,Y,0,763 IB,2822,JFK,3797,CDG,1382,Y,0,763 757 IB,2822,JFK,3797,FCO,1555,Y,0,763 IB,2822,JFK,3797,HEL,421,Y,0,330 IB,2822,JFK,3797,LCY,503,Y,0,318 IB,2822,JFK,3797,LHR,507,Y,0,744 77W 777 IB,2822,JFK,3797,MAD,1229,,0,333 346 IB,2822,JFK,3797,MAN,478,Y,0,757 IB,2822,JFK,3797,MXP,1524,Y,0,763 IB,2822,JFK,3797,ORY,1386,Y,0,752 IB,2822,JUL,2792,AQP,2802,Y,0,319 IB,2822,KBP,2939,BCN,1218,Y,0,737 IB,2822,KBP,2939,MAD,1229,Y,0,737 IB,2822,KIN,1779,LGW,502,Y,0,777 IB,2822,LAD,951,LHR,507,Y,0,777 IB,2822,LAD,951,MAD,1229,,0,333 IB,2822,LAS,3877,LHR,507,Y,0,744 IB,2822,LAX,3484,LHR,507,Y,0,744 77W 388 IB,2822,LAX,3484,MAD,1229,,0,346 342 IB,2822,LBA,517,LHR,507,Y,0,319 IB,2822,LCG,1220,BCN,1218,,0,320 IB,2822,LCG,1220,BIO,1216,Y,0,320 IB,2822,LCG,1220,LHR,507,,0,320 IB,2822,LCG,1220,MAD,1229,,0,321 319 320 IB,2822,LCG,1220,SVQ,1253,Y,0,320 IB,2822,LCY,503,AGP,1230,Y,0,E90 IB,2822,LCY,503,GRX,1223,Y,0,E90 IB,2822,LCY,503,IBZ,1225,Y,0,E70 E90 IB,2822,LCY,503,MAD,1229,Y,0,E90 IB,2822,LCY,503,PMI,3998,Y,0,E90 IB,2822,LDE,1276,MAD,1229,Y,0,CR9 IB,2822,LED,2948,BCN,1218,Y,0,320 IB,2822,LEI,1213,BCN,1218,Y,0,320 IB,2822,LEI,1213,MAD,1229,Y,0,CR9 CRK CR2 AT7 IB,2822,LEI,1213,MLN,1058,Y,0,AT7 IB,2822,LEJ,348,BCN,1218,Y,0,320 IB,2822,LEN,6756,BCN,1218,Y,0,CR2 IB,2822,LGW,502,ACE,1055,Y,0,320 IB,2822,LGW,502,AGP,1230,Y,0,319 734 320 IB,2822,LGW,502,ALC,1212,Y,0,319 734 IB,2822,LGW,502,ANU,2874,Y,0,777 IB,2822,LGW,502,BCN,1218,Y,0,319 320 734 IB,2822,LGW,502,BDA,4069,Y,0,777 IB,2822,LGW,502,BGI,2875,Y,0,777 IB,2822,LGW,502,FLR,1563,,0,320 IB,2822,LGW,502,KIN,1779,Y,0,777 IB,2822,LGW,502,MCO,3878,Y,0,777 IB,2822,LGW,502,TFS,1056,Y,0,320 IB,2822,LGW,502,TPA,3646,Y,0,777 IB,2822,LGW,502,UVF,2894,Y,0,777 IB,2822,LHR,507,ABZ,532,Y,0,320 319 IB,2822,LHR,507,ARN,737,Y,0,321 319 767 320 IB,2822,LHR,507,ATL,3682,Y,0,777 IB,2822,LHR,507,AUH,2179,Y,0,777 IB,2822,LHR,507,AUS,3673,,0,788 IB,2822,LHR,507,BAH,2057,Y,0,777 IB,2822,LHR,507,BCN,1218,Y,0,319 320 321 IB,2822,LHR,507,BEY,2177,Y,0,321 IB,2822,LHR,507,BHD,467,Y,0,319 IB,2822,LHR,507,BIO,1216,,0,320 IB,2822,LHR,507,BKK,3885,Y,0,777 IB,2822,LHR,507,BOS,3448,Y,0,744 777 IB,2822,LHR,507,BUD,1489,Y,0,320 IB,2822,LHR,507,BWI,3849,Y,0,767 IB,2822,LHR,507,DEN,3751,Y,0,777 IB,2822,LHR,507,DFW,3670,Y,0,77W 744 777 IB,2822,LHR,507,EDI,535,Y,0,320 321 319 IB,2822,LHR,507,EWR,3494,Y,0,777 788 IB,2822,LHR,507,GLA,534,Y,0,320 319 321 767 IB,2822,LHR,507,GOT,687,Y,0,320 IB,2822,LHR,507,IAD,3714,Y,0,744 777 IB,2822,LHR,507,IAH,3550,Y,0,744 777 IB,2822,LHR,507,IBZ,1225,,0,319 320 IB,2822,LHR,507,JFK,3797,Y,0,744 77W 777 IB,2822,LHR,507,LAS,3877,Y,0,744 IB,2822,LHR,507,LAX,3484,Y,0,744 77W 388 IB,2822,LHR,507,LBA,517,Y,0,319 IB,2822,LHR,507,LCG,1220,,0,320 IB,2822,LHR,507,MAD,1229,,0,321 320 343 333 IB,2822,LHR,507,MAN,478,Y,0,320 319 321 IB,2822,LHR,507,MEX,1824,Y,0,744 IB,2822,LHR,507,MIA,3576,Y,0,77W 744 777 IB,2822,LHR,507,NCL,521,Y,0,320 319 IB,2822,LHR,507,ORD,3830,Y,0,763 777 744 IB,2822,LHR,507,ORY,1386,Y,0,319 320 IB,2822,LHR,507,OSL,644,Y,0,319 320 321 IB,2822,LHR,507,PHL,3752,Y,0,777 767 IB,2822,LHR,507,PHX,3462,Y,0,744 IB,2822,LHR,507,PMI,3998,Y,0,319 320 IB,2822,LHR,507,RDU,3626,Y,0,763 IB,2822,LHR,507,RUH,2082,Y,0,777 744 IB,2822,LHR,507,SAN,3731,Y,0,777 IB,2822,LHR,507,SEA,3577,Y,0,744 IB,2822,LHR,507,SFO,3469,Y,0,744 IB,2822,LHR,507,SIN,3316,Y,0,744 777 IB,2822,LHR,507,WAW,679,Y,0,320 IB,2822,LHR,507,YUL,146,Y,0,777 IB,2822,LHR,507,YVR,156,Y,0,744 IB,2822,LHR,507,YYC,178,Y,0,767 IB,2822,LHR,507,YYZ,193,Y,0,788 744 IB,2822,LIL,1399,BCN,1218,,0,320 IB,2822,LIM,2789,CUZ,2812,Y,0,319 IB,2822,LIM,2789,MAD,1229,,0,345 346 342 IB,2822,LIN,1529,MAD,1229,,0,320 321 IB,2822,LIS,1638,BCN,1218,Y,0,320 IB,2822,LIS,1638,BRU,302,,0,320 IB,2822,LIS,1638,MAD,1229,,0,320 321 319 IB,2822,LIS,1638,ORY,1386,Y,0,320 IB,2822,LOS,273,MAD,1229,,0,319 IB,2822,LPA,1054,AGP,1230,Y,0,320 IB,2822,LPA,1054,ALC,1212,Y,0,CR9 IB,2822,LPA,1054,BCN,1218,Y,0,320 IB,2822,LPA,1054,BIO,1216,Y,0,320 IB,2822,LPA,1054,DKR,1084,,0,321 IB,2822,LPA,1054,MAD,1229,,0,319 321 IB,2822,LPA,1054,NKC,1094,,0,319 IB,2822,LPA,1054,ORY,1386,Y,0,320 IB,2822,LPA,1054,SCQ,1243,Y,0,CR9 IB,2822,LPA,1054,SVQ,1253,Y,0,320 IB,2822,LPA,1054,VLC,1246,Y,0,CRK IB,2822,LUX,629,BCN,1218,Y,0,320 IB,2822,LYS,1335,AGP,1230,,0,320 IB,2822,LYS,1335,BCN,1218,Y,0,320 IB,2822,LYS,1335,MAD,1229,Y,0,CRK IB,2822,LYS,1335,PMI,3998,Y,0,320 IB,2822,LYS,1335,SVQ,1253,,0,320 IB,2822,MAD,1229,ACC,248,,0,319 IB,2822,MAD,1229,ACE,1055,Y,0,32S IB,2822,MAD,1229,AGP,1230,Y,0,32S IB,2822,MAD,1229,ALC,1212,Y,0,32S IB,2822,MAD,1229,ALG,210,,0,319 IB,2822,MAD,1229,AMM,2170,Y,0,319 320 IB,2822,MAD,1229,ARN,737,Y,0,32S IB,2822,MAD,1229,BCN,1218,,0,319 320 321 IB,2822,MAD,1229,BIO,1216,,0,319 321 320 IB,2822,MAD,1229,BLQ,1538,Y,0,CRK IB,2822,MAD,1229,BOD,1264,Y,0,CRK CR9 IB,2822,MAD,1229,BOG,2709,,0,345 346 IB,2822,MAD,1229,BOS,3448,,0,333 IB,2822,MAD,1229,BRU,302,,0,321 320 IB,2822,MAD,1229,CCS,2851,,0,333 IB,2822,MAD,1229,CMN,1074,,0,320 319 IB,2822,MAD,1229,CPH,609,Y,0,32S IB,2822,MAD,1229,DFW,3670,Y,0,777 IB,2822,MAD,1229,DKR,1084,,0,321 319 IB,2822,MAD,1229,DME,4029,,0,319 IB,2822,MAD,1229,DUB,599,Y,0,32S IB,2822,MAD,1229,DUS,345,Y,0,32S IB,2822,MAD,1229,EAS,1242,Y,0,AT7 CR2 IB,2822,MAD,1229,EZE,3988,,0,346 342 345 IB,2822,MAD,1229,FCO,1555,,0,321 319 IB,2822,MAD,1229,FLR,1563,Y,0,320 IB,2822,MAD,1229,FRA,340,Y,0,32S IB,2822,MAD,1229,FUE,1051,Y,0,32S IB,2822,MAD,1229,GIG,2560,,0,342 333 345 346 IB,2822,MAD,1229,GRU,2564,,0,345 342 346 IB,2822,MAD,1229,GRX,1223,Y,0,CRK CR9 CR2 IB,2822,MAD,1229,GUA,1767,,0,342 IB,2822,MAD,1229,GVA,1665,,0,319 320 IB,2822,MAD,1229,GYE,2673,Y,0,763 IB,2822,MAD,1229,HEL,421,Y,0,321 IB,2822,MAD,1229,IBZ,1225,Y,0,CRK CR9 CR2 IB,2822,MAD,1229,JFK,3797,,0,333 346 IB,2822,MAD,1229,KBP,2939,Y,0,737 IB,2822,MAD,1229,LAD,951,,0,333 IB,2822,MAD,1229,LAX,3484,,0,346 342 IB,2822,MAD,1229,LCG,1220,,0,319 320 321 IB,2822,MAD,1229,LCY,503,Y,0,E90 IB,2822,MAD,1229,LDE,1276,Y,0,CR9 IB,2822,MAD,1229,LEI,1213,Y,0,CRK CR2 AT7 CR9 IB,2822,MAD,1229,LHR,507,,0,321 320 345 333 342 IB,2822,MAD,1229,LIM,2789,,0,345 346 342 IB,2822,MAD,1229,LIN,1529,,0,321 320 IB,2822,MAD,1229,LIS,1638,,0,321 320 319 IB,2822,MAD,1229,LOS,273,,0,319 IB,2822,MAD,1229,LPA,1054,,0,321 319 IB,2822,MAD,1229,LYS,1335,Y,0,CRK IB,2822,MAD,1229,MAH,1231,Y,0,CRK IB,2822,MAD,1229,MEX,1824,,0,345 346 IB,2822,MAD,1229,MIA,3576,,0,333 346 IB,2822,MAD,1229,MJV,1227,Y,0,CR2 IB,2822,MAD,1229,MLN,1058,Y,0,AT7 IB,2822,MAD,1229,MRS,1353,Y,0,CRK IB,2822,MAD,1229,MUC,346,,0,319 320 321 IB,2822,MAD,1229,MXP,1524,,0,321 320 IB,2822,MAD,1229,NCE,1354,Y,0,CRK CR9 IB,2822,MAD,1229,NTE,1418,Y,0,CRK IB,2822,MAD,1229,OPO,1636,Y,0,CRK CR9 IB,2822,MAD,1229,ORD,3830,,0,333 IB,2822,MAD,1229,ORN,231,,0,319 IB,2822,MAD,1229,ORY,1386,,0,320 321 319 IB,2822,MAD,1229,OVD,1214,,0,319 320 IB,2822,MAD,1229,PMI,3998,Y,0,32S IB,2822,MAD,1229,PNA,1234,Y,0,CR9 CR2 CRK IB,2822,MAD,1229,PRG,1587,,0,321 320 IB,2822,MAD,1229,PTY,1871,,0,346 342 333 IB,2822,MAD,1229,RAK,1075,Y,0,CR9 CRK CR2 IB,2822,MAD,1229,RJL,5781,Y,0,CR2 IB,2822,MAD,1229,SCL,2650,,0,346 345 342 IB,2822,MAD,1229,SCQ,1243,Y,0,32S IB,2822,MAD,1229,SDR,1251,,0,319 IB,2822,MAD,1229,SJO,1885,,0,345 346 IB,2822,MAD,1229,SOF,1194,Y,0,319 320 E90 IB,2822,MAD,1229,SPC,1053,Y,0,32S IB,2822,MAD,1229,SSG,891,,0,319 IB,2822,MAD,1229,SVQ,1253,Y,0,32S IB,2822,MAD,1229,SXB,1435,Y,0,CR2 IB,2822,MAD,1229,TFN,1057,Y,0,32S IB,2822,MAD,1229,TFS,1056,Y,0,32S IB,2822,MAD,1229,TLS,1273,Y,0,CR9 CRK CR2 IB,2822,MAD,1229,TLV,1590,,0,319 IB,2822,MAD,1229,TNG,1080,Y,0,CRK CR9 IB,2822,MAD,1229,TRN,1526,Y,0,CRK CR9 IB,2822,MAD,1229,TXL,351,,0,738 IB,2822,MAD,1229,UIO,2688,,0,342 345 346 340 IB,2822,MAD,1229,VCE,1551,,0,321 319 320 IB,2822,MAD,1229,VGO,1250,Y,0,32S IB,2822,MAD,1229,VIE,1613,,0,320 321 319 IB,2822,MAD,1229,VLC,1246,Y,0,CR9 AT7 CRK CR2 IB,2822,MAD,1229,XRY,1226,Y,0,CRK CR9 CR2 IB,2822,MAD,1229,ZRH,1678,,0,319 IB,2822,MAH,1231,BCN,1218,Y,0,320 IB,2822,MAH,1231,MAD,1229,Y,0,CRK IB,2822,MAH,1231,PMI,3998,Y,0,CR9 IB,2822,MAH,1231,VLC,1246,Y,0,CR2 AT7 IB,2822,MAN,478,JFK,3797,Y,0,757 IB,2822,MAN,478,LHR,507,Y,0,319 320 321 IB,2822,MAN,478,ORD,3830,Y,0,763 IB,2822,MCO,3878,LGW,502,Y,0,777 IB,2822,MCT,2194,AUH,2179,Y,0,777 IB,2822,MEX,1824,MAD,1229,,0,345 346 IB,2822,MEX,1824,MIA,3576,Y,0,738 IB,2822,MGA,1863,SJO,1885,Y,0,E90 IB,2822,MIA,3576,ATL,3682,Y,0,ER4 738 IB,2822,MIA,3576,BCN,1218,Y,0,763 IB,2822,MIA,3576,CDG,1382,Y,0,763 IB,2822,MIA,3576,LHR,507,Y,0,744 77W 777 IB,2822,MIA,3576,MAD,1229,,0,333 346 IB,2822,MIA,3576,MSY,3861,Y,0,738 IB,2822,MIA,3576,MXP,1524,Y,0,763 IB,2822,MJV,1227,MAD,1229,Y,0,CR2 IB,2822,MLA,1606,BCN,1218,Y,0,320 IB,2822,MLN,1058,AGP,1230,Y,0,AT7 IB,2822,MLN,1058,GRX,1223,Y,0,AT7 IB,2822,MLN,1058,LEI,1213,Y,0,AT7 IB,2822,MLN,1058,MAD,1229,Y,0,AT7 IB,2822,MRS,1353,BCN,1218,Y,0,320 IB,2822,MRS,1353,MAD,1229,Y,0,CRK IB,2822,MRS,1353,PMI,3998,,0,320 IB,2822,MSY,3861,MIA,3576,Y,0,738 IB,2822,MUC,346,AGP,1230,Y,0,320 IB,2822,MUC,346,BCN,1218,Y,0,320 IB,2822,MUC,346,MAD,1229,,0,319 320 321 IB,2822,MXP,1524,BCN,1218,Y,0,320 IB,2822,MXP,1524,BIO,1216,Y,0,320 IB,2822,MXP,1524,JFK,3797,Y,0,763 IB,2822,MXP,1524,MAD,1229,,0,321 320 IB,2822,MXP,1524,MIA,3576,Y,0,763 IB,2822,NAP,1561,BCN,1218,Y,0,320 IB,2822,NCE,1354,BCN,1218,Y,0,320 IB,2822,NCE,1354,MAD,1229,Y,0,CRK CR9 IB,2822,NCL,521,LHR,507,Y,0,320 319 IB,2822,NDR,5673,BCN,1218,Y,0,320 IB,2822,NKC,1094,LPA,1054,,0,319 IB,2822,NTE,1418,AGP,1230,Y,0,320 IB,2822,NTE,1418,BCN,1218,Y,0,320 IB,2822,NTE,1418,FCO,1555,Y,0,320 IB,2822,NTE,1418,MAD,1229,Y,0,CRK IB,2822,NTE,1418,SVQ,1253,,0,320 IB,2822,NUE,347,BCN,1218,Y,0,320 IB,2822,OPO,1636,BCN,1218,,0,320 IB,2822,OPO,1636,BRU,302,,0,320 IB,2822,OPO,1636,MAD,1229,Y,0,CRK CR9 IB,2822,OPO,1636,ORY,1386,Y,0,320 IB,2822,ORD,3830,ATL,3682,Y,0,CR7 IB,2822,ORD,3830,CDG,1382,Y,0,763 IB,2822,ORD,3830,DUB,599,Y,0,763 IB,2822,ORD,3830,DUS,345,Y,0,763 IB,2822,ORD,3830,FCO,1555,Y,0,763 IB,2822,ORD,3830,LHR,507,Y,0,763 777 744 IB,2822,ORD,3830,MAD,1229,,0,333 IB,2822,ORD,3830,MAN,478,Y,0,763 IB,2822,ORD,3830,MSY,3861,Y,0,E75 IB,2822,ORN,231,ALC,1212,Y,0,320 IB,2822,ORN,231,BCN,1218,Y,0,320 IB,2822,ORN,231,MAD,1229,,0,319 IB,2822,ORY,1386,AGP,1230,Y,0,320 IB,2822,ORY,1386,ALC,1212,Y,0,320 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IB,2822,PNA,1234,MAD,1229,Y,0,CRK CR9 CR2 IB,2822,POS,2902,UVF,2894,Y,0,777 IB,2822,PRG,1587,BCN,1218,Y,0,320 319 IB,2822,PRG,1587,FCO,1555,Y,0,320 IB,2822,PRG,1587,MAD,1229,,0,321 320 IB,2822,PSA,1562,BCN,1218,Y,0,320 IB,2822,PTY,1871,MAD,1229,,0,346 342 333 IB,2822,PTY,1871,MIA,3576,Y,0,738 IB,2822,PTY,1871,SJO,1885,Y,0,73G IB,2822,PUJ,1760,ANU,2874,Y,0,777 IB,2822,PUQ,2647,PMC,2665,Y,0,320 IB,2822,RAK,1075,BCN,1218,Y,0,320 IB,2822,RAK,1075,MAD,1229,Y,0,CR9 CRK CR2 IB,2822,RBA,1072,ORY,1386,Y,0,320 IB,2822,RDU,3626,LHR,507,Y,0,763 IB,2822,RGS,6757,BCN,1218,Y,0,CR2 IB,2822,RJL,5781,MAD,1229,Y,0,CR2 IB,2822,RNS,1415,BCN,1218,Y,0,320 IB,2822,SAL,1892,MAD,1229,,0,342 IB,2822,SAN,3731,LHR,507,Y,0,777 IB,2822,SCL,2650,MAD,1229,,0,346 345 342 IB,2822,SCQ,1243,AGP,1230,Y,0,320 IB,2822,SCQ,1243,BCN,1218,Y,0,320 IB,2822,SCQ,1243,BIO,1216,Y,0,CR9 IB,2822,SCQ,1243,BRU,302,,0,320 IB,2822,SCQ,1243,CDG,1382,Y,0,320 IB,2822,SCQ,1243,LPA,1054,Y,0,CR9 IB,2822,SCQ,1243,MAD,1229,Y,0,32S 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IE,4797,RNL,5414,BNY,6919,,0,DHT IE,4797,RNL,5414,HIR,4074,,0,DHT IE,4797,RUS,5415,HIR,4074,,0,BNI IE,4797,SCZ,5410,HIR,4074,,0,DH8 IE,4797,VAO,5416,HIR,4074,,0,DHT BNI IE,4797,VLI,1997,HIR,4074,,0,320 IE,4797,VLI,1997,NAN,1960,,0,320 IG,3463,AMM,2170,FCO,1555,Y,0,320 IG,3463,BDS,1506,MUC,346,Y,0,320 IG,3463,BDS,1506,ZRH,1678,Y,0,320 IG,3463,BGY,1525,OMO,1645,,0,320 IG,3463,BLQ,1538,CAG,1519,,0,M80 IG,3463,BLQ,1538,CTA,1509,,0,320 737 IG,3463,BLQ,1538,KIV,1735,,0,737 IG,3463,BLQ,1538,OLB,1520,,0,M80 IG,3463,BRI,1501,TXL,351,Y,0,320 IG,3463,BSL,1423,CTA,1509,Y,0,320 IG,3463,CAG,1519,BLQ,1538,,0,M80 IG,3463,CAG,1519,DUS,345,,0,320 IG,3463,CAG,1519,MUC,346,Y,0,320 IG,3463,CAG,1519,NAP,1561,,0,737 M80 IG,3463,CAG,1519,TRN,1526,,0,M80 IG,3463,CAG,1519,VRN,1550,,0,M80 IG,3463,CDG,1382,OLB,1520,,0,M80 320 IG,3463,CDG,1382,PMO,1512,,0,319 IG,3463,CGN,344,OLB,1520,,0,320 IG,3463,CTA,1509,BLQ,1538,,0,320 737 IG,3463,CTA,1509,BSL,1423,Y,0,320 IG,3463,CTA,1509,DUS,345,Y,0,320 IG,3463,CTA,1509,FCO,1555,,0,737 IG,3463,CTA,1509,FRA,340,Y,0,320 IG,3463,CTA,1509,LIN,1529,,0,737 M80 IG,3463,CTA,1509,MLA,1606,Y,0,319 IG,3463,CTA,1509,MUC,346,Y,0,320 IG,3463,CTA,1509,NAP,1561,,0,737 320 M80 IG,3463,CTA,1509,STR,350,Y,0,320 IG,3463,CTA,1509,TRN,1526,,0,737 IG,3463,CTA,1509,TXL,351,Y,0,320 IG,3463,CTA,1509,VRN,1550,,0,737 320 IG,3463,CTA,1509,ZRH,1678,Y,0,320 IG,3463,DKR,1084,MXP,1524,Y,0,737 767 IG,3463,DUS,345,CAG,1519,,0,320 IG,3463,DUS,345,CTA,1509,Y,0,320 IG,3463,DUS,345,FCO,1555,Y,0,320 IG,3463,DUS,345,FLR,1563,Y,0,320 IG,3463,DUS,345,MXP,1524,,0,320 IG,3463,DUS,345,NAP,1561,Y,0,320 IG,3463,DUS,345,OLB,1520,Y,0,320 IG,3463,DUS,345,VCE,1551,Y,0,320 IG,3463,FCO,1555,AMM,2170,Y,0,320 IG,3463,FCO,1555,CTA,1509,,0,737 IG,3463,FCO,1555,DUS,345,Y,0,320 IG,3463,FCO,1555,FUE,1051,,0,320 IG,3463,FCO,1555,LRM,1759,,0,767 IG,3463,FCO,1555,MLA,1606,Y,0,319 IG,3463,FCO,1555,MXP,1524,,0,767 IG,3463,FCO,1555,OLB,1520,,0,M80 IG,3463,FCO,1555,TXL,351,Y,0,320 IG,3463,FCO,1555,VIE,1613,,0,320 IG,3463,FLR,1563,DUS,345,Y,0,320 IG,3463,FLR,1563,STR,350,Y,0,320 IG,3463,FLR,1563,VIE,1613,,0,320 IG,3463,FRA,340,CTA,1509,Y,0,320 IG,3463,FUE,1051,FCO,1555,,0,320 IG,3463,FUE,1051,MXP,1524,,0,737 IG,3463,FUE,1051,TFS,1056,,0,320 IG,3463,FUE,1051,VRN,1550,,0,320 IG,3463,HAM,342,OLB,1520,,0,320 IG,3463,KBP,2939,NAP,1561,,0,737 IG,3463,KIV,1735,BLQ,1538,,0,737 IG,3463,KIV,1735,MXP,1524,,0,737 IG,3463,KIV,1735,VRN,1550,,0,737 IG,3463,LGW,502,NAP,1561,,0,737 IG,3463,LGW,502,OLB,1520,,0,320 IG,3463,LIN,1529,CTA,1509,,0,737 M80 IG,3463,LIN,1529,MLA,1606,Y,0,319 IG,3463,LIN,1529,NAP,1561,,0,M80 737 IG,3463,LIN,1529,OLB,1520,,0,M80 IG,3463,LRM,1759,FCO,1555,,0,767 IG,3463,MLA,1606,CTA,1509,Y,0,319 IG,3463,MLA,1606,FCO,1555,Y,0,319 IG,3463,MLA,1606,LIN,1529,Y,0,319 IG,3463,MLE,3156,MXP,1524,,0,767 IG,3463,MRU,893,FCO,1555,,0,767 IG,3463,MUC,346,BDS,1506,Y,0,320 IG,3463,MUC,346,CAG,1519,Y,0,320 IG,3463,MUC,346,CTA,1509,Y,0,320 IG,3463,MUC,346,NAP,1561,Y,0,320 IG,3463,MUC,346,OLB,1520,Y,0,320 IG,3463,MXP,1524,DKR,1084,,0,737 767 IG,3463,MXP,1524,DUS,345,,0,320 IG,3463,MXP,1524,FCO,1555,,0,767 IG,3463,MXP,1524,FUE,1051,,0,737 IG,3463,MXP,1524,KIV,1735,,0,737 IG,3463,MXP,1524,MRU,893,,0,767 IG,3463,MXP,1524,SSH,4057,,0,737 IG,3463,MXP,1524,TFS,1056,,0,320 IG,3463,MXP,1524,TIA,1190,,0,320 IG,3463,MXP,1524,TLV,1590,Y,0,320 737 IG,3463,MXP,1524,TXL,351,Y,0,320 IG,3463,MXP,1524,VIE,1613,,0,320 IG,3463,NAP,1561,CAG,1519,,0,737 M80 IG,3463,NAP,1561,CTA,1509,,0,320 737 M80 IG,3463,NAP,1561,DUS,345,Y,0,320 IG,3463,NAP,1561,KBP,2939,,0,737 IG,3463,NAP,1561,LGW,502,,0,737 IG,3463,NAP,1561,LIN,1529,,0,M80 737 IG,3463,NAP,1561,MUC,346,Y,0,320 IG,3463,NAP,1561,OLB,1520,Y,0,M80 737 IG,3463,NAP,1561,STR,350,Y,0,320 IG,3463,NAP,1561,TLV,1590,,0,737 IG,3463,NAP,1561,TRN,1526,,0,737 IG,3463,NAP,1561,TXL,351,Y,0,320 IG,3463,NAP,1561,VCE,1551,,0,737 M80 IG,3463,NAP,1561,VRN,1550,,0,737 320 M80 IG,3463,NAP,1561,ZRH,1678,,0,320 IG,3463,NUE,347,OLB,1520,Y,0,320 IG,3463,OLB,1520,BLQ,1538,,0,M80 IG,3463,OLB,1520,CDG,1382,,0,M80 320 IG,3463,OLB,1520,CGN,344,,0,320 IG,3463,OLB,1520,DUS,345,Y,0,320 IG,3463,OLB,1520,FCO,1555,,0,M80 IG,3463,OLB,1520,HAM,342,,0,320 IG,3463,OLB,1520,LGW,502,,0,320 IG,3463,OLB,1520,LIN,1529,,0,M80 IG,3463,OLB,1520,MUC,346,Y,0,320 IG,3463,OLB,1520,NAP,1561,Y,0,M80 737 IG,3463,OLB,1520,NUE,347,Y,0,320 IG,3463,OLB,1520,STR,350,Y,0,320 IG,3463,OLB,1520,TRN,1526,,0,M80 IG,3463,OLB,1520,TXL,351,Y,0,320 IG,3463,OLB,1520,VIE,1613,,0,320 IG,3463,OLB,1520,VRN,1550,,0,M80 IG,3463,OLB,1520,ZRH,1678,Y,0,320 IG,3463,OMO,1645,BGY,1525,,0,320 IG,3463,PMO,1512,CDG,1382,,0,319 IG,3463,STR,350,CTA,1509,Y,0,320 IG,3463,STR,350,FLR,1563,Y,0,320 IG,3463,STR,350,NAP,1561,Y,0,320 IG,3463,STR,350,OLB,1520,Y,0,320 IG,3463,STR,350,VCE,1551,Y,0,320 IG,3463,SUF,1508,ZRH,1678,Y,0,320 IG,3463,TFS,1056,FCO,1555,,0,320 IG,3463,TFS,1056,MXP,1524,,0,320 IG,3463,TIA,1190,MXP,1524,,0,320 IG,3463,TIA,1190,VRN,1550,,0,320 IG,3463,TLV,1590,MXP,1524,Y,0,320 737 IG,3463,TLV,1590,NAP,1561,,0,737 IG,3463,TRN,1526,CAG,1519,,0,M80 IG,3463,TRN,1526,CTA,1509,,0,737 IG,3463,TRN,1526,NAP,1561,,0,737 IG,3463,TRN,1526,OLB,1520,,0,M80 IG,3463,TXL,351,BRI,1501,Y,0,320 IG,3463,TXL,351,CTA,1509,Y,0,320 IG,3463,TXL,351,FCO,1555,Y,0,320 IG,3463,TXL,351,MXP,1524,Y,0,320 IG,3463,TXL,351,NAP,1561,Y,0,320 IG,3463,TXL,351,OLB,1520,Y,0,320 IG,3463,TXL,351,VCE,1551,Y,0,320 IG,3463,VCE,1551,DUS,345,Y,0,320 IG,3463,VCE,1551,NAP,1561,,0,737 M80 IG,3463,VCE,1551,STR,350,Y,0,320 IG,3463,VCE,1551,TXL,351,Y,0,320 IG,3463,VIE,1613,FCO,1555,,0,320 IG,3463,VIE,1613,FLR,1563,,0,320 IG,3463,VIE,1613,MXP,1524,,0,320 IG,3463,VIE,1613,OLB,1520,,0,320 IG,3463,VRN,1550,CAG,1519,,0,M80 IG,3463,VRN,1550,CTA,1509,,0,M80 737 320 IG,3463,VRN,1550,FUE,1051,,0,320 IG,3463,VRN,1550,KIV,1735,,0,737 IG,3463,VRN,1550,NAP,1561,,0,320 737 M80 IG,3463,VRN,1550,OLB,1520,,0,M80 IG,3463,VRN,1550,TFS,1056,,0,320 IG,3463,VRN,1550,TIA,1190,,0,320 IG,3463,ZRH,1678,BDS,1506,Y,0,320 IG,3463,ZRH,1678,CTA,1509,Y,0,320 IG,3463,ZRH,1678,NAP,1561,,0,320 IG,3463,ZRH,1678,OLB,1520,Y,0,320 IG,3463,ZRH,1678,SUF,1508,Y,0,320 IL,10121,AMQ,3256,SXK,11258,,0,AT4 IL,10121,BDJ,3908,PKN,3910,,0,AT7 IL,10121,BDJ,3908,SUB,3928,,0,AT7 IL,10121,CGK,3275,PKN,3910,,0,737 IL,10121,DJJ,3244,OKL,9898,,0,AT4 IL,10121,DJJ,3244,WMX,3245,,0,AT7 732 IL,10121,DOB,\N,LUV,6212,,0,AT4 IL,10121,KTG,3282,PKN,3910,,0,AT7 IL,10121,KTG,3282,PNK,3284,,0,AT7 737 IL,10121,LUV,6212,AMQ,3256,,0,AT4 IL,10121,LUV,6212,DOB,\N,,0,AT4 IL,10121,OKL,9898,DJJ,3244,,0,AT4 IL,10121,PKN,3910,BDJ,3908,,0,AT7 IL,10121,PKN,3910,CGK,3275,,0,737 IL,10121,PKN,3910,KTG,3282,,0,AT7 737 IL,10121,PKN,3910,PKN,3910,,0,AT7 IL,10121,PKN,3910,SOC,3929,,0,AT7 IL,10121,PKN,3910,SRG,3901,,0,737 AT7 IL,10121,PKN,3910,SUB,3928,,0,737 IL,10121,PNK,3284,KTG,3282,,0,AT7 IL,10121,SOC,3929,PKN,3910,,0,AT7 IL,10121,SRG,3901,PKN,3910,,0,737 IL,10121,SUB,3928,PKN,3910,,0,737 IL,10121,SXK,11258,LUV,6212,,0,AT4 IL,10121,WMX,3245,DJJ,3244,,0,AT7 732 IOS,2951,ABA,2955,IKT,2937,,0,AN4 IOS,2951,BQS,2926,HTA,2935,,0,CR2 IOS,2951,BQS,2926,VVO,2934,,0,CR2 IOS,2951,DME,4029,OMS,2958,,0,CR2 IOS,2951,DYU,2979,OMS,2958,,0,CR2 IOS,2951,EVN,3964,OMS,2958,,0,CR2 IOS,2951,EXT,552,ISC,4347,,0,DHT IOS,2951,EXT,552,NQY,481,,0,DHT IOS,2951,GDX,2930,KHV,2927,,0,CR2 IOS,2951,GDX,2930,YKS,2923,,0,AN4 IOS,2951,GYD,2922,OMS,2958,,0,CR2 IOS,2951,HRB,3400,IKT,2937,,0,CR2 IOS,2951,HTA,2935,BQS,2926,,0,CR2 IOS,2951,HTA,2935,IKT,2937,,0,CR2 IOS,2951,HTA,2935,KHV,2927,,0,CR2 IOS,2951,IKT,2937,ABA,2955,,0,AN4 IOS,2951,IKT,2937,HRB,3400,,0,CR2 IOS,2951,IKT,2937,HTA,2935,,0,CR2 IOS,2951,IKT,2937,KJA,4374,,0,CR2 IOS,2951,IKT,2937,KYZ,6118,,0,AN4 IOS,2951,IKT,2937,ODO,8944,,0,AN4 IOS,2951,IKT,2937,OVB,4078,,0,CR2 IOS,2951,IKT,2937,UKX,6924,,0,AN4 IOS,2951,IKT,2937,ULK,9026,,0,AN4 IOS,2951,IKT,2937,UUD,2938,,0,CR2 IOS,2951,ISC,4347,EXT,552,,0,DHT IOS,2951,ISC,4347,LEQ,5572,,0,DHT BNT IOS,2951,ISC,4347,NQY,481,,0,DHT IOS,2951,JMU,6411,KHV,2927,,0,CR2 IOS,2951,KHV,2927,GDX,2930,,0,CR2 IOS,2951,KHV,2927,HTA,2935,,0,CR2 IOS,2951,KHV,2927,JMU,6411,,0,CR2 IOS,2951,KHV,2927,UUD,2938,,0,CR2 IOS,2951,KJA,4374,IKT,2937,,0,CR2 IOS,2951,KJA,4374,NZH,6954,,0,CR2 IOS,2951,KJA,4374,OVB,4078,,0,CR2 IOS,2951,KYZ,6118,IKT,2937,,0,AN4 IOS,2951,LEQ,5572,ISC,4347,,0,DHT BNT IOS,2951,NJC,2972,OMS,2958,,0,CR2 IOS,2951,NJC,2972,OVB,4078,,0,CR2 IOS,2951,NJC,2972,UUA,6160,,0,CR2 IOS,2951,NQY,481,EXT,552,,0,DHT IOS,2951,NQY,481,ISC,4347,,0,DHT IOS,2951,NUX,4364,OMS,2958,,0,CR2 IOS,2951,NZH,6954,KJA,4374,,0,CR2 IOS,2951,NZH,6954,OVB,4078,,0,CR2 IOS,2951,NZH,6954,UUD,2938,,0,CR2 IOS,2951,ODO,8944,IKT,2937,,0,AN4 IOS,2951,OMS,2958,DME,4029,,0,CR2 IOS,2951,OMS,2958,DYU,2979,,0,CR2 IOS,2951,OMS,2958,EVN,3964,,0,CR2 IOS,2951,OMS,2958,GYD,2922,,0,CR2 IOS,2951,OMS,2958,NJC,2972,,0,CR2 IOS,2951,OMS,2958,NUX,4364,,0,CR2 IOS,2951,OMS,2958,OVB,4078,,0,CR2 IOS,2951,OMS,2958,TAS,2983,,0,CR2 IOS,2951,OVB,4078,IKT,2937,,0,CR2 IOS,2951,OVB,4078,KJA,4374,,0,CR2 IOS,2951,OVB,4078,NJC,2972,,0,CR2 IOS,2951,OVB,4078,NZH,6954,,0,CR2 IOS,2951,OVB,4078,OMS,2958,,0,CR2 IOS,2951,OVB,4078,SLY,6137,,0,CR2 IOS,2951,SLY,6137,OVB,4078,,0,CR2 IOS,2951,TAS,2983,OMS,2958,,0,CR2 IOS,2951,UKX,6924,IKT,2937,,0,AN4 IOS,2951,ULK,9026,IKT,2937,,0,AN4 IOS,2951,UUA,6160,NJC,2972,,0,CR2 IOS,2951,UUD,2938,IKT,2937,,0,CR2 IOS,2951,UUD,2938,KHV,2927,,0,CR2 IOS,2951,UUD,2938,NZH,6954,,0,CR2 IOS,2951,VVO,2934,BQS,2926,,0,CR2 IOS,2951,YKS,2923,GDX,2930,,0,AN4 IR,2922,ABD,2097,MHD,4331,,0,100 M82 IR,2922,ABD,2097,THR,2131,,0,M82 100 IR,2922,ADU,5935,MHD,4331,,0,100 IR,2922,ADU,5935,THR,2131,,0,100 IR,2922,AMS,580,IKA,4330,,0,AB6 IR,2922,ARN,737,IKA,4330,,0,AB6 IR,2922,AWZ,2104,BND,2134,,0,100 IR,2922,AWZ,2104,DXB,2188,,0,100 IR,2922,AWZ,2104,IFN,2121,,0,M82 100 IR,2922,AWZ,2104,KIH,2109,,0,M82 IR,2922,AWZ,2104,KWI,2176,,0,100 IR,2922,AWZ,2104,MHD,4331,,0,M82 AB4 IR,2922,AWZ,2104,RAS,2123,,0,100 IR,2922,AWZ,2104,SRY,5933,,0,M82 IR,2922,AWZ,2104,SYZ,2157,,0,M82 100 IR,2922,AWZ,2104,TBZ,2162,,0,AB4 IR,2922,AWZ,2104,THR,2131,,0,M82 100 AB4 IR,2922,AZD,2164,MHD,4331,,0,M82 100 IR,2922,AZD,2164,THR,2131,,0,100 M82 AB4 320 IR,2922,BAH,2057,MHD,4331,,0,320 M82 IR,2922,BDH,2110,SYZ,2157,,0,100 IR,2922,BEY,2177,IKA,4330,,0,313 320 IR,2922,BEY,2177,MHD,4331,,0,313 IR,2922,BND,2134,AWZ,2104,,0,100 IR,2922,BND,2134,DXB,2188,,0,320 IR,2922,BND,2134,IFN,2121,,0,100 M82 IR,2922,BND,2134,MHD,4331,,0,M82 IR,2922,BND,2134,SRY,5933,,0,100 IR,2922,BND,2134,SYZ,2157,,0,320 100 IR,2922,BND,2134,TBZ,2162,,0,100 IR,2922,BND,2134,THR,2131,,0,100 320 M82 IR,2922,BND,2134,ZBR,2166,,0,100 IR,2922,BOM,2997,IKA,4330,,0,74L IR,2922,BUZ,2106,SYZ,2157,,0,100 IR,2922,BUZ,2106,THR,2131,,0,100 M82 AB4 IR,2922,CGN,344,IKA,4330,,0,313 IR,2922,DMM,2064,MHD,4331,,0,320 IR,2922,DOH,11051,LRR,5934,,0,320 IR,2922,DOH,11051,SYZ,2157,,0,320 IR,2922,DXB,2188,AWZ,2104,,0,100 IR,2922,DXB,2188,BND,2134,,0,320 IR,2922,DXB,2188,IFN,2121,,0,320 IR,2922,DXB,2188,IKA,4330,,0,320 IR,2922,ESB,1682,IKA,4330,,0,320 IR,2922,FCO,1555,IKA,4330,,0,313 IR,2922,FRA,340,IKA,4330,,0,AB6 IR,2922,GBT,6747,THR,2131,,0,100 IR,2922,GBT,6747,ZAH,2167,,0,100 IR,2922,GOT,687,IKA,4330,,0,AB6 IR,2922,GSM,5712,MHD,4331,,0,M82 IR,2922,GSM,5712,THR,2131,,0,100 320 IR,2922,GYD,2922,IKA,4330,,0,320 IR,2922,HAM,342,IKA,4330,,0,313 IR,2922,IFN,2121,AWZ,2104,,0,M82 100 IR,2922,IFN,2121,BND,2134,,0,100 M82 IR,2922,IFN,2121,DXB,2188,,0,320 IR,2922,IFN,2121,KER,2136,,0,100 IR,2922,IFN,2121,KIH,2109,,0,100 320 IR,2922,IFN,2121,KWI,2176,,0,100 320 IR,2922,IFN,2121,MHD,4331,,0,320 M82 AB4 IR,2922,IFN,2121,SYZ,2157,,0,100 IR,2922,IFN,2121,TBZ,2162,,0,100 IR,2922,IFN,2121,THR,2131,,0,100 M82 AB4 320 IR,2922,IKA,4330,AMS,580,,0,AB6 IR,2922,IKA,4330,ARN,737,,0,AB6 IR,2922,IKA,4330,BEY,2177,,0,313 320 IR,2922,IKA,4330,BOM,2997,,0,74L IR,2922,IKA,4330,CGN,344,,0,313 IR,2922,IKA,4330,DXB,2188,,0,320 IR,2922,IKA,4330,ESB,1682,,0,320 IR,2922,IKA,4330,FCO,1555,,0,313 IR,2922,IKA,4330,FRA,340,,0,AB6 IR,2922,IKA,4330,GOT,687,,0,AB6 IR,2922,IKA,4330,GYD,2922,,0,320 IR,2922,IKA,4330,HAM,342,,0,313 IR,2922,IKA,4330,IST,1701,,0,320 IR,2922,IKA,4330,KHI,2206,,0,320 IR,2922,IKA,4330,KUL,3304,,0,74L IR,2922,IKA,4330,LHR,507,,0,AB6 IR,2922,IKA,4330,MXP,1524,,0,AB6 IR,2922,IKA,4330,NJF,7490,,0,320 IR,2922,IKA,4330,ORY,1386,,0,AB6 IR,2922,IKA,4330,PEK,3364,,0,74L IR,2922,IKA,4330,TAS,2983,,0,320 IR,2922,IKA,4330,VIE,1613,,0,313 IR,2922,IST,1701,IKA,4330,,0,320 IR,2922,KER,2136,IFN,2121,,0,100 IR,2922,KER,2136,THR,2131,,0,100 IR,2922,KER,2136,ZAH,2167,,0,100 IR,2922,KHD,5927,THR,2131,,0,100 IR,2922,KHI,2206,IKA,4330,,0,320 IR,2922,KIH,2109,AWZ,2104,,0,M82 IR,2922,KIH,2109,IFN,2121,,0,100 320 IR,2922,KIH,2109,SYZ,2157,,0,M82 IR,2922,KIH,2109,THR,2131,,0,100 M82 AB4 320 IR,2922,KSH,2114,MHD,4331,,0,M82 IR,2922,KSH,2114,THR,2131,,0,100 M82 AB4 320 IR,2922,KUL,3304,IKA,4330,,0,74L IR,2922,KWI,2176,AWZ,2104,,0,100 IR,2922,KWI,2176,IFN,2121,,0,100 320 IR,2922,KWI,2176,LRR,5934,,0,100 IR,2922,KWI,2176,MHD,4331,,0,320 IR,2922,KWI,2176,SYZ,2157,,0,320 100 IR,2922,LHR,507,IKA,4330,,0,AB6 IR,2922,LRR,5934,DOH,11051,,0,320 IR,2922,LRR,5934,KWI,2176,,0,100 IR,2922,LRR,5934,THR,2131,,0,320 100 IR,2922,MHD,4331,ABD,2097,,0,100 M82 IR,2922,MHD,4331,ADU,5935,,0,100 IR,2922,MHD,4331,AWZ,2104,,0,M82 AB4 IR,2922,MHD,4331,AZD,2164,,0,M82 100 IR,2922,MHD,4331,BAH,2057,,0,320 M82 IR,2922,MHD,4331,BEY,2177,,0,313 IR,2922,MHD,4331,BND,2134,,0,M82 IR,2922,MHD,4331,DMM,2064,,0,320 IR,2922,MHD,4331,GSM,5712,,0,M82 IR,2922,MHD,4331,IFN,2121,,0,320 M82 100 IR,2922,MHD,4331,KSH,2114,,0,M82 IR,2922,MHD,4331,KWI,2176,,0,320 IR,2922,MHD,4331,RAS,2123,,0,M82 100 IR,2922,MHD,4331,SRY,5933,,0,M82 IR,2922,MHD,4331,SYZ,2157,,0,100 M82 IR,2922,MHD,4331,TBZ,2162,,0,M82 100 IR,2922,MHD,4331,THR,2131,,0,M82 AB4 320 100 IR,2922,MHD,4331,XBJ,2142,,0,100 IR,2922,MHD,4331,ZAH,2167,,0,M82 IR,2922,MXP,1524,IKA,4330,,0,AB6 IR,2922,NJF,7490,IKA,4330,,0,320 IR,2922,OMH,5936,THR,2131,,0,100 M82 IR,2922,ORY,1386,IKA,4330,,0,AB6 IR,2922,PEK,3364,IKA,4330,,0,74L IR,2922,RAS,2123,AWZ,2104,,0,100 IR,2922,RAS,2123,MHD,4331,,0,M82 100 IR,2922,RAS,2123,THR,2131,,0,100 IR,2922,SRY,5933,AWZ,2104,,0,M82 IR,2922,SRY,5933,BND,2134,,0,100 IR,2922,SRY,5933,MHD,4331,,0,M82 IR,2922,SVO,2985,IKA,4330,,0,313 IR,2922,SYZ,2157,AWZ,2104,,0,M82 100 IR,2922,SYZ,2157,BDH,2110,,0,100 IR,2922,SYZ,2157,BND,2134,,0,320 100 IR,2922,SYZ,2157,BUZ,2106,,0,100 IR,2922,SYZ,2157,DOH,11051,,0,320 IR,2922,SYZ,2157,IFN,2121,,0,100 IR,2922,SYZ,2157,KIH,2109,,0,M82 IR,2922,SYZ,2157,KWI,2176,,0,320 100 IR,2922,SYZ,2157,MHD,4331,,0,M82 320 IR,2922,SYZ,2157,THR,2131,,0,100 320 AB4 M82 IR,2922,TAS,2983,IKA,4330,,0,320 IR,2922,TBZ,2162,AWZ,2104,,0,AB4 IR,2922,TBZ,2162,BND,2134,,0,100 IR,2922,TBZ,2162,IFN,2121,,0,100 IR,2922,TBZ,2162,MHD,4331,,0,M82 100 AB4 IR,2922,TBZ,2162,THR,2131,,0,AB4 100 M82 IR,2922,THR,2131,ABD,2097,,0,M82 100 IR,2922,THR,2131,ADU,5935,,0,100 IR,2922,THR,2131,AWZ,2104,,0,M82 100 AB4 IR,2922,THR,2131,AZD,2164,,0,100 M82 AB4 320 IR,2922,THR,2131,BND,2134,,0,100 320 M82 IR,2922,THR,2131,BUZ,2106,,0,100 M82 AB4 IR,2922,THR,2131,GBT,6747,,0,100 IR,2922,THR,2131,GSM,5712,,0,100 320 IR,2922,THR,2131,IFN,2121,,0,100 320 M82 AB4 IR,2922,THR,2131,KER,2136,,0,100 IR,2922,THR,2131,KHD,5927,,0,100 IR,2922,THR,2131,KIH,2109,,0,100 M82 AB4 320 IR,2922,THR,2131,KSH,2114,,0,100 M82 AB4 320 IR,2922,THR,2131,LRR,5934,,0,320 100 IR,2922,THR,2131,MHD,4331,,0,AB4 M82 100 320 IR,2922,THR,2131,OMH,5936,,0,100 M82 IR,2922,THR,2131,RAS,2123,,0,100 IR,2922,THR,2131,SYZ,2157,,0,100 320 AB4 M82 IR,2922,THR,2131,TBZ,2162,,0,AB4 100 M82 IR,2922,THR,2131,XBJ,2142,,0,100 M82 IR,2922,THR,2131,ZAH,2167,,0,M82 100 320 IR,2922,VIE,1613,IKA,4330,,0,313 IR,2922,XBJ,2142,MHD,4331,,0,100 IR,2922,XBJ,2142,THR,2131,,0,100 M82 IR,2922,ZAH,2167,GBT,6747,,0,100 IR,2922,ZAH,2167,KER,2136,,0,100 IR,2922,ZAH,2167,MHD,4331,,0,M82 IR,2922,ZAH,2167,THR,2131,,0,M82 100 320 IR,2922,ZAH,2167,ZBR,2166,,0,M82 100 320 IR,2922,ZBR,2166,BND,2134,,0,100 IR,2922,ZBR,2166,THR,2131,,0,100 IR,2922,ZBR,2166,ZAH,2167,,0,M82 100 320 IX,569,AAN,5937,CCJ,3137,,0,738 IX,569,AUH,2179,CCJ,3137,,0,738 IX,569,AUH,2179,COK,3136,,0,738 IX,569,AUH,2179,MCT,2194,,0,738 IX,569,AUH,2179,TRV,3153,,0,738 IX,569,BAH,2057,DOH,11051,,0,738 IX,569,BAH,2057,IXE,3143,,0,738 IX,569,BOM,2997,CCJ,3137,,0,738 IX,569,BOM,2997,COK,3136,,0,738 IX,569,BOM,2997,DOH,11051,,0,738 IX,569,BOM,2997,IXE,3143,,0,738 IX,569,BOM,2997,MAA,3144,,0,738 IX,569,BOM,2997,TRV,3153,,0,738 IX,569,CCJ,3137,AAN,5937,,0,738 IX,569,CCJ,3137,AUH,2179,,0,738 IX,569,CCJ,3137,BAH,2057,,0,738 IX,569,CCJ,3137,BOM,2997,,0,738 IX,569,CCJ,3137,COK,3136,,0,738 IX,569,CCJ,3137,DMM,2064,,0,738 IX,569,CCJ,3137,DXB,2188,,0,738 IX,569,CCJ,3137,IXE,3143,,0,738 IX,569,CCJ,3137,KWI,2176,,0,738 IX,569,CCJ,3137,MCT,2194,,0,738 IX,569,CCJ,3137,SHJ,2191,,0,738 IX,569,CCJ,3137,SLL,2195,,0,738 IX,569,COK,3136,AUH,2179,,0,738 IX,569,COK,3136,BOM,2997,,0,738 IX,569,COK,3136,CCJ,3137,,0,738 IX,569,COK,3136,DXB,2188,,0,738 IX,569,COK,3136,MCT,2194,,0,738 IX,569,COK,3136,SHJ,2191,,0,738 IX,569,COK,3136,TRV,3153,,0,738 IX,569,DMM,2064,CCJ,3137,,0,738 IX,569,DMM,2064,IXE,3143,,0,738 IX,569,DOH,11051,BAH,2057,,0,738 IX,569,DOH,11051,BOM,2997,,0,738 IX,569,DOH,11051,CCJ,3137,,0,738 IX,569,DXB,2188,CCJ,3137,,0,738 IX,569,DXB,2188,COK,3136,,0,738 IX,569,DXB,2188,IXE,3143,,0,738 IX,569,DXB,2188,TRV,3153,,0,738 IX,569,IXE,3143,AUH,2179,,0,738 IX,569,IXE,3143,BOM,2997,,0,738 IX,569,IXE,3143,DMM,2064,,0,738 IX,569,IXE,3143,DOH,11051,,0,738 IX,569,IXE,3143,DXB,2188,,0,738 IX,569,IXE,3143,SHJ,2191,,0,738 IX,569,JAI,3098,SHJ,2191,,0,738 IX,569,KUL,3304,MAA,3144,,0,738 IX,569,KWI,2176,CCJ,3137,,0,738 IX,569,MAA,3144,BOM,2997,,0,738 IX,569,MAA,3144,KUL,3304,,0,738 IX,569,MAA,3144,TRV,3153,,0,738 IX,569,MAA,3144,TRZ,3152,,0,738 IX,569,MCT,2194,CCJ,3137,,0,738 IX,569,MCT,2194,COK,3136,,0,738 IX,569,MCT,2194,IXE,3143,,0,738 IX,569,MCT,2194,TRV,3153,,0,738 IX,569,PNQ,3017,SHJ,2191,,0,738 IX,569,SHJ,2191,CCJ,3137,,0,738 IX,569,SHJ,2191,COK,3136,,0,738 IX,569,SHJ,2191,IXE,3143,,0,738 IX,569,SHJ,2191,JAI,3098,,0,738 IX,569,SHJ,2191,PNQ,3017,,0,738 IX,569,SHJ,2191,TRV,3153,,0,738 IX,569,SIN,3316,TRZ,3152,,0,738 IX,569,SLL,2195,CCJ,3137,,0,738 IX,569,TRV,3153,AUH,2179,,0,738 IX,569,TRV,3153,BOM,2997,,0,738 IX,569,TRV,3153,COK,3136,,0,738 IX,569,TRV,3153,DXB,2188,,0,738 IX,569,TRV,3153,MAA,3144,,0,738 IX,569,TRV,3153,MCT,2194,,0,738 IX,569,TRV,3153,SHJ,2191,,0,738 IX,569,TRZ,3152,MAA,3144,,0,738 IX,569,TRZ,3152,SIN,3316,,0,738 IY,5496,ADD,1107,SAH,3980,,0,310 330 IY,5496,ADE,3977,AMM,2170,,0,310 IY,5496,ADE,3977,AUH,2179,,0,320 IY,5496,ADE,3977,BOM,2997,,0,320 IY,5496,ADE,3977,CAI,1128,,0,320 IY,5496,ADE,3977,DMM,2064,Y,0,CR7 IY,5496,ADE,3977,DOH,11051,,0,320 IY,5496,ADE,3977,DXB,2188,,0,310 320 IY,5496,ADE,3977,JED,2072,,0,320 330 IY,5496,ADE,3977,RUH,2082,,0,310 IY,5496,ADE,3977,SAH,3980,,0,320 CR2 310 IY,5496,AMM,2170,ADE,3977,,0,310 IY,5496,AMM,2170,BEY,2177,,0,330 IY,5496,AMM,2170,HOD,3976,,0,310 IY,5496,AMM,2170,SAH,3980,,0,330 IY,5496,ASM,3967,SAH,3980,,0,310 IY,5496,AUH,2179,ADE,3977,,0,320 IY,5496,AUH,2179,GXF,5954,,0,320 IY,5496,AUH,2179,RIY,3974,,0,310 IY,5496,BAH,2057,SAH,3980,Y,0,320 IY,5496,BEY,2177,AMM,2170,,0,330 IY,5496,BEY,2177,SAH,3980,,0,330 IY,5496,BOM,2997,ADE,3977,,0,320 IY,5496,BOM,2997,SAH,3980,,0,320 IY,5496,CAI,1128,ADE,3977,,0,320 IY,5496,CAI,1128,CDG,1382,,0,330 IY,5496,CAI,1128,RIY,3974,,0,320 IY,5496,CAI,1128,SAH,3980,,0,310 330 320 IY,5496,CAI,1128,TAI,3975,,0,320 IY,5496,CDG,1382,CAI,1128,,0,330 IY,5496,CGK,3275,DXB,2188,,0,330 IY,5496,CGK,3275,KUL,3304,,0,330 IY,5496,DAR,1177,NBO,4059,,0,738 IY,5496,DOH,11051,ADE,3977,,0,320 IY,5496,DOH,11051,SAH,3980,,0,310 IY,5496,DXB,2188,ADE,3977,,0,320 IY,5496,DXB,2188,CGK,3275,,0,330 IY,5496,DXB,2188,KUL,3304,,0,330 IY,5496,DXB,2188,RIY,3974,,0,310 IY,5496,DXB,2188,SAH,3980,,0,310 330 IY,5496,GXF,5954,AUH,2179,,0,320 IY,5496,GXF,5954,JED,2072,,0,320 IY,5496,GXF,5954,SAH,3980,,0,320 IY,5496,HAH,912,JIB,4119,,0,330 310 IY,5496,HOD,3976,AMM,2170,,0,310 IY,5496,HOD,3976,CAI,1128,,0,310 IY,5496,HOD,3976,JED,2072,,0,330 320 IY,5496,HOD,3976,SAH,3980,,0,320 CR2 310 IY,5496,JED,2072,ADE,3977,,0,320 IY,5496,JED,2072,GXF,5954,,0,320 IY,5496,JED,2072,HOD,3976,,0,320 IY,5496,JED,2072,RIY,3974,,0,310 IY,5496,JED,2072,SAH,3980,,0,310 320 330 IY,5496,JED,2072,TAI,3975,,0,320 IY,5496,JIB,4119,HAH,912,,0,330 310 IY,5496,JIB,4119,SAH,3980,,0,330 310 IY,5496,KRT,1175,SAH,3980,,0,320 IY,5496,KUL,3304,CGK,3275,,0,330 IY,5496,KUL,3304,DXB,2188,,0,330 IY,5496,KWI,2176,DOH,11051,,0,320 IY,5496,KWI,2176,RIY,3974,,0,320 IY,5496,NBO,4059,SAH,3980,,0,320 IY,5496,RIY,3974,ADE,3977,Y,0,CR2 IY,5496,RIY,3974,AUH,2179,,0,310 IY,5496,RIY,3974,CAI,1128,,0,320 IY,5496,RIY,3974,DXB,2188,,0,310 IY,5496,RIY,3974,JED,2072,,0,330 IY,5496,RIY,3974,KWI,2176,,0,320 IY,5496,RIY,3974,SAH,3980,,0,320 310 IY,5496,RIY,3974,SCT,3984,,0,320 IY,5496,RUH,2082,SAH,3980,,0,310 IY,5496,RUH,2082,TAI,3975,,0,320 IY,5496,SAH,3980,AAY,3979,Y,0,CR7 IY,5496,SAH,3980,ADD,1107,,0,310 330 IY,5496,SAH,3980,ADE,3977,,0,310 320 CR2 330 IY,5496,SAH,3980,AMM,2170,,0,330 IY,5496,SAH,3980,ASM,3967,,0,310 IY,5496,SAH,3980,BAH,2057,Y,0,320 IY,5496,SAH,3980,BEY,2177,,0,330 IY,5496,SAH,3980,CAI,1128,,0,310 330 320 IY,5496,SAH,3980,DXB,2188,,0,330 IY,5496,SAH,3980,GXF,5954,,0,320 IY,5496,SAH,3980,HOD,3976,,0,310 CR2 330 320 IY,5496,SAH,3980,JED,2072,,0,310 330 320 IY,5496,SAH,3980,JIB,4119,,0,330 310 IY,5496,SAH,3980,KRT,1175,,0,320 IY,5496,SAH,3980,KWI,2176,,0,320 IY,5496,SAH,3980,NBO,4059,,0,320 IY,5496,SAH,3980,RIY,3974,,0,320 310 330 IY,5496,SAH,3980,RUH,2082,,0,310 320 IY,5496,SAH,3980,TAI,3975,,0,320 IY,5496,SCT,3984,RIY,3974,,0,320 IY,5496,TAI,3975,CAI,1128,,0,320 IY,5496,TAI,3975,JED,2072,,0,320 IY,5496,TAI,3975,RUH,2082,,0,320 IY,5496,TAI,3975,SAH,3980,,0,320 IZ,231,AMM,2170,TLV,1590,,0,AT7 IZ,231,AMS,580,TLV,1590,,0,753 IZ,231,BCN,1218,TLV,1590,,0,753 IZ,231,CDG,1382,TLV,1590,,0,753 IZ,231,ETH,1594,HFA,1596,,0,AT7 IZ,231,ETH,1594,SDV,1605,,0,AT7 E90 E95 IZ,231,ETH,1594,TLV,1590,,0,E95 753 AT7 E90 IZ,231,HFA,1596,ETH,1594,,0,AT7 IZ,231,HFA,1596,SDV,1605,,0,AT7 IZ,231,LCA,1197,TLV,1590,,0,AT7 IZ,231,SDV,1605,ETH,1594,,0,E90 AT7 E95 IZ,231,SDV,1605,HFA,1596,,0,AT7 IZ,231,TBS,3973,TLV,1590,,0,E95 IZ,231,TLV,1590,AMM,2170,,0,AT7 IZ,231,TLV,1590,AMS,580,,0,753 IZ,231,TLV,1590,BCN,1218,,0,753 IZ,231,TLV,1590,CDG,1382,,0,753 IZ,231,TLV,1590,ETH,1594,,0,E95 753 AT7 E90 IZ,231,TLV,1590,LCA,1197,,0,AT7 IZ,231,TLV,1590,TBS,3973,,0,E95 J2,197,CDG,1382,GYD,2922,,0,320 J2,197,DME,4029,GYD,2922,,0,320 J2,197,DOH,11051,GYD,2922,Y,0,320 J2,197,DXB,2188,GYD,2922,,0,757 319 320 J2,197,ESB,1682,GYD,2922,,0,320 319 J2,197,FCO,1555,GYD,2922,,0,319 J2,197,FRA,340,GYD,2922,Y,0,333 343 J2,197,GYD,2922,CDG,1382,,0,320 J2,197,GYD,2922,DME,4029,,0,320 J2,197,GYD,2922,DOH,11051,Y,0,320 J2,197,GYD,2922,DXB,2188,,0,757 319 320 J2,197,GYD,2922,ESB,1682,,0,320 319 J2,197,GYD,2922,FCO,1555,,0,319 J2,197,GYD,2922,FRA,340,Y,0,333 343 J2,197,GYD,2922,IKA,4330,,0,E70 E90 319 J2,197,GYD,2922,IST,1701,,0,767 J2,197,GYD,2922,KBP,2939,,0,737 320 319 J2,197,GYD,2922,KVD,6089,,0,E90 J2,197,GYD,2922,LED,2948,,0,320 757 J2,197,GYD,2922,LHR,507,,0,767 J2,197,GYD,2922,MRV,2962,,0,E70 E90 J2,197,GYD,2922,MXP,1524,,0,320 J2,197,GYD,2922,OVB,4078,,0,757 J2,197,GYD,2922,PEK,3364,,0,340 J2,197,GYD,2922,PRG,1587,,0,320 J2,197,GYD,2922,RIX,3953,,0,735 J2,197,GYD,2922,SAW,4317,,0,319 J2,197,GYD,2922,SCO,4367,,0,E70 E90 J2,197,GYD,2922,SVX,2975,,0,320 J2,197,GYD,2922,TBS,3973,,0,E70 E90 J2,197,GYD,2922,TBZ,2162,,0,E70 E90 J2,197,GYD,2922,TLV,1590,,0,320 J2,197,GYD,2922,VIE,1613,,0,320 J2,197,IKA,4330,GYD,2922,,0,E70 E90 319 J2,197,IST,1701,GYD,2922,,0,767 J2,197,KBP,2939,GYD,2922,,0,320 737 319 J2,197,KVD,6089,GYD,2922,,0,E90 J2,197,KVD,6089,LED,2948,,0,757 J2,197,LED,2948,GYD,2922,,0,320 757 J2,197,LED,2948,KVD,6089,,0,757 J2,197,LHR,507,GYD,2922,,0,767 J2,197,MRV,2962,GYD,2922,,0,E70 E90 J2,197,MXP,1524,GYD,2922,,0,320 J2,197,OVB,4078,GYD,2922,,0,757 J2,197,PEK,3364,GYD,2922,,0,340 J2,197,PRG,1587,GYD,2922,,0,320 J2,197,RIX,3953,GYD,2922,,0,735 J2,197,SAW,4317,GYD,2922,,0,319 J2,197,SCO,4367,GYD,2922,,0,E90 E70 J2,197,SVX,2975,GYD,2922,,0,320 J2,197,TBS,3973,GYD,2922,,0,E70 E90 J2,197,TBZ,2162,GYD,2922,,0,E90 J2,197,TLV,1590,GYD,2922,,0,320 J2,197,VIE,1613,GYD,2922,,0,320 J3,3734,YEG,49,YHY,72,,0,J31 J3,3734,YEG,49,YMM,90,,0,J31 J3,3734,YEG,49,YSM,136,,0,J31 J3,3734,YHY,72,YEG,49,,0,J31 J3,3734,YHY,72,YSM,136,,0,J31 J3,3734,YLW,87,YQF,112,,0,J31 J3,3734,YMM,90,YEG,49,,0,J31 J3,3734,YMM,90,YPY,109,,0,J31 J3,3734,YMM,90,YQF,112,,0,J31 J3,3734,YPY,109,YMM,90,,0,J31 J3,3734,YPY,109,YSM,136,,0,J31 J3,3734,YQF,112,YLW,87,,0,J31 J3,3734,YQF,112,YMM,90,,0,J31 J3,3734,YSM,136,YEG,49,,0,J31 J3,3734,YSM,136,YHY,72,,0,J31 J3,3734,YSM,136,YPY,109,,0,J31 J3,3734,YSM,136,YZF,196,,0,J31 J3,3734,YZF,196,YSM,136,,0,J31 J4,10737,EGN,6768,KRT,1175,,0,737 J4,10737,ELF,1169,KRT,1175,,0,737 J4,10737,KRT,1175,EGN,6768,,0,737 J4,10737,KRT,1175,ELF,1169,,0,737 J4,10737,KRT,1175,PZU,5702,,0,737 J4,10737,KRT,1175,UYL,5701,,0,737 J4,10737,PZU,5702,KRT,1175,,0,737 J4,10737,UYL,5701,KRT,1175,,0,737 J5,10912,AGN,7135,TKE,7137,,0,DHP J5,10912,ELV,7136,JNU,3492,,0,DHP J5,10912,GST,5960,JNU,3492,,0,PA1 J5,10912,HNH,7142,JNU,3492,,0,CNA J5,10912,HNS,5963,JNU,3492,,0,CNA J5,10912,HNS,5963,SGY,5961,,0,CNC J5,10912,JNU,3492,AGN,7135,,0,DHP J5,10912,JNU,3492,GST,5960,,0,PA1 J5,10912,JNU,3492,HNH,7142,,0,CNA J5,10912,JNU,3492,HNS,5963,,0,CNC CNA J5,10912,JNU,3492,PEC,7138,,0,DHP J5,10912,JNU,3492,SGY,5961,,0,CNA J5,10912,PEC,7138,ELV,7136,,0,DHP J5,10912,SGY,5961,JNU,3492,,0,CNC CNA J5,10912,TKE,7137,JNU,3492,,0,DHP J8,1508,RDN,4013,SIN,3316,,0,DH7 J8,1508,RDN,4013,SZB,3408,,0,DH7 J8,1508,SIN,3316,RDN,4013,,0,DH7 J8,1508,SZB,3408,RDN,4013,,0,DH7 J9,2993,AMM,2170,KWI,2176,,0,320 J9,2993,ATZ,5691,KWI,2176,,0,320 J9,2993,BAH,2057,KWI,2176,,0,320 J9,2993,BEY,2177,KWI,2176,,0,320 J9,2993,CAI,1128,KWI,2176,,0,320 J9,2993,DWC,8076,KWI,2176,,0,320 J9,2993,DXB,2188,KWI,2176,,0,320 J9,2993,HBE,3410,KWI,2176,,0,320 J9,2993,HMB,8235,KWI,2176,,0,320 J9,2993,JED,2072,KWI,2176,,0,320 J9,2993,KWI,2176,AMM,2170,,0,320 J9,2993,KWI,2176,ATZ,5691,,0,320 J9,2993,KWI,2176,BAH,2057,,0,320 J9,2993,KWI,2176,BEY,2177,,0,320 J9,2993,KWI,2176,CAI,1128,,0,320 J9,2993,KWI,2176,DWC,8076,,0,320 J9,2993,KWI,2176,DXB,2188,,0,320 J9,2993,KWI,2176,HBE,3410,,0,320 J9,2993,KWI,2176,HMB,8235,,0,320 J9,2993,KWI,2176,JED,2072,,0,320 J9,2993,KWI,2176,LXR,1132,,0,320 J9,2993,KWI,2176,MHD,4331,,0,320 J9,2993,KWI,2176,NJF,7490,,0,320 J9,2993,KWI,2176,RUH,2082,,0,320 J9,2993,KWI,2176,SAW,4317,,0,320 J9,2993,LXR,1132,KWI,2176,,0,320 J9,2993,MHD,4331,KWI,2176,,0,320 J9,2993,NJF,7490,KWI,2176,,0,320 J9,2993,RUH,2082,KWI,2176,,0,320 J9,2993,SAW,4317,KWI,2176,,0,320 JA,132,BEG,1739,SJJ,1646,,0,AT7 JA,132,BNX,5794,SJJ,1646,,0,AT7 JA,132,BNX,5794,ZRH,1678,,0,AT7 JA,132,CPH,609,SJJ,1646,,0,AT7 JA,132,IST,1701,SJJ,1646,,0,AT7 JA,132,SJJ,1646,BEG,1739,,0,AT7 JA,132,SJJ,1646,BNX,5794,,0,AT7 JA,132,SJJ,1646,CPH,609,,0,AT7 JA,132,SJJ,1646,IST,1701,,0,AT7 JA,132,ZRH,1678,BNX,5794,,0,AT7 JB,2731,CXH,5500,YWH,4106,,0,S76 JB,2731,YWH,4106,CXH,5500,,0,S76 JD,6557,BAV,6346,CGO,3375,,0,320 JD,6557,CAN,3370,CKG,3393,,0,319 JD,6557,CAN,3370,CTU,3395,,0,319 JD,6557,CAN,3370,HAK,4120,,0,320 JD,6557,CAN,3370,HET,6345,,0,319 JD,6557,CAN,3370,HGH,3386,,0,319 JD,6557,CAN,3370,LJG,4033,,0,319 JD,6557,CAN,3370,SYX,4030,,0,320 JD,6557,CGO,3375,BAV,6346,,0,320 JD,6557,CGO,3375,HAK,4120,,0,319 JD,6557,CGO,3375,HET,6345,,0,320 JD,6557,CGO,3375,HGH,3386,,0,319 JD,6557,CGO,3375,KWL,3372,,0,320 JD,6557,CGO,3375,SYX,4030,,0,320 JD,6557,CGQ,4380,FOC,3385,,0,320 JD,6557,CGQ,4380,SJW,6347,,0,320 JD,6557,CIF,6342,HET,6345,,0,319 JD,6557,CKG,3393,CAN,3370,,0,319 JD,6557,CKG,3393,HAK,4120,,0,320 319 JD,6557,CKG,3393,SYX,4030,,0,319 JD,6557,CKG,3393,XIY,3379,,0,320 JD,6557,CSX,3371,HAK,4120,,0,320 JD,6557,CSX,3371,SYX,4030,,0,320 JD,6557,CTU,3395,CAN,3370,,0,319 JD,6557,CTU,3395,LJG,4033,,0,319 JD,6557,CTU,3395,SYX,4030,,0,320 JD,6557,DLC,3404,HGH,3386,,0,319 JD,6557,DLC,3404,NGB,3387,,0,320 JD,6557,DLC,3404,WUH,3376,,0,319 JD,6557,DNH,4308,HGH,3386,,0,320 JD,6557,DNH,4308,URC,3399,,0,320 JD,6557,DYG,6353,XIY,3379,,0,319 JD,6557,ENH,6358,WUH,3376,,0,319 JD,6557,ERL,10160,PEK,3364,,0,319 JD,6557,FOC,3385,CGQ,4380,,0,320 JD,6557,FOC,3385,SYX,4030,,0,319 320 JD,6557,FOC,3385,XUZ,4149,,0,319 JD,6557,HAK,4120,CAN,3370,,0,320 JD,6557,HAK,4120,CGO,3375,,0,319 JD,6557,HAK,4120,CKG,3393,,0,320 319 JD,6557,HAK,4120,CSX,3371,,0,320 JD,6557,HAK,4120,HGH,3386,,0,319 JD,6557,HAK,4120,KHN,3384,,0,319 JD,6557,HAK,4120,KWE,3394,,0,319 JD,6557,HAK,4120,KWL,3372,,0,320 JD,6557,HAK,4120,NGB,3387,,0,320 JD,6557,HAK,4120,NKG,3388,,0,319 JD,6557,HAK,4120,PEK,3364,,0,319 JD,6557,HAK,4120,WUH,3376,,0,319 JD,6557,HAK,4120,XIY,3379,,0,319 320 JD,6557,HET,6345,CAN,3370,,0,319 JD,6557,HET,6345,CGO,3375,,0,320 JD,6557,HET,6345,CIF,6342,,0,319 JD,6557,HET,6345,KHN,3384,,0,319 JD,6557,HET,6345,PEK,3364,,0,319 JD,6557,HET,6345,WUH,3376,,0,320 JD,6557,HET,6345,YIE,10941,,0,319 JD,6557,HFE,3389,XIY,3379,,0,319 JD,6557,HFE,3389,XMN,3383,,0,319 JD,6557,HGH,3386,CAN,3370,,0,319 JD,6557,HGH,3386,CGO,3375,,0,319 JD,6557,HGH,3386,DLC,3404,,0,319 JD,6557,HGH,3386,DNH,4308,,0,320 JD,6557,HGH,3386,HAK,4120,,0,319 JD,6557,HGH,3386,JHG,3381,,0,319 JD,6557,HGH,3386,KMG,3382,,0,319 JD,6557,HGH,3386,KWL,3372,,0,319 JD,6557,HGH,3386,LJG,4033,,0,319 JD,6557,HGH,3386,PEK,3364,,0,319 JD,6557,HGH,3386,SJW,6347,,0,320 JD,6557,HGH,3386,SYX,4030,,0,320 JD,6557,HGH,3386,TAO,3390,,0,319 JD,6557,HGH,3386,TGO,6348,,0,319 JD,6557,HGH,3386,XIY,3379,,0,320 JD,6557,HGH,3386,YIH,6361,,0,320 JD,6557,HLD,3366,PEK,3364,,0,319 JD,6557,HRB,3400,SJW,6347,,0,320 JD,6557,HRB,3400,TGO,6348,,0,319 JD,6557,HRB,3400,TSN,3368,,0,319 JD,6557,JHG,3381,HGH,3386,,0,319 JD,6557,JHG,3381,LJG,4033,,0,319 JD,6557,JXA,8417,PEK,3364,,0,319 JD,6557,KHG,3397,URC,3399,,0,320 JD,6557,KHN,3384,HAK,4120,,0,319 JD,6557,KHN,3384,HET,6345,,0,319 JD,6557,KHN,3384,SYX,4030,,0,320 JD,6557,KHN,3384,TNA,4108,,0,320 JD,6557,KMG,3382,HGH,3386,,0,319 JD,6557,KMG,3382,LJG,4033,,0,319 JD,6557,KWE,3394,HAK,4120,,0,319 JD,6557,KWE,3394,SYX,4030,,0,319 JD,6557,KWE,3394,XIY,3379,,0,319 JD,6557,KWE,3394,YIH,6361,,0,320 JD,6557,KWL,3372,CGO,3375,,0,320 JD,6557,KWL,3372,HAK,4120,,0,320 JD,6557,KWL,3372,HGH,3386,,0,319 JD,6557,KWL,3372,LJG,4033,,0,319 JD,6557,KWL,3372,NGB,3387,,0,319 JD,6557,KWL,3372,TNA,4108,,0,320 JD,6557,KWL,3372,TYN,3369,,0,320 JD,6557,KWL,3372,XIY,3379,,0,319 320 JD,6557,KWL,3372,XMN,3383,,0,319 JD,6557,LHW,3378,NNG,3373,,0,319 JD,6557,LHW,3378,PEK,3364,,0,320 JD,6557,LHW,3378,URC,3399,,0,320 JD,6557,LJG,4033,CAN,3370,,0,319 JD,6557,LJG,4033,CTU,3395,,0,319 JD,6557,LJG,4033,HGH,3386,,0,319 JD,6557,LJG,4033,JHG,3381,,0,319 JD,6557,LJG,4033,KMG,3382,,0,319 JD,6557,LJG,4033,KWL,3372,,0,319 JD,6557,LJG,4033,NKG,3388,,0,319 JD,6557,LJG,4033,PEK,3364,,0,319 JD,6557,LJG,4033,SJW,6347,,0,319 JD,6557,LJG,4033,TNA,4108,,0,319 JD,6557,LJG,4033,WUH,3376,,0,319 JD,6557,LJG,4033,XIY,3379,,0,319 JD,6557,NGB,3387,DLC,3404,,0,320 JD,6557,NGB,3387,HAK,4120,,0,320 JD,6557,NGB,3387,KWL,3372,,0,319 JD,6557,NKG,3388,HAK,4120,,0,319 JD,6557,NKG,3388,LJG,4033,,0,319 JD,6557,NKG,3388,SYX,4030,,0,320 JD,6557,NNG,3373,LHW,3378,,0,319 JD,6557,NNG,3373,SYX,4030,,0,319 JD,6557,PEK,3364,ERL,10160,,0,319 JD,6557,PEK,3364,HAK,4120,,0,319 JD,6557,PEK,3364,HET,6345,,0,319 JD,6557,PEK,3364,HGH,3386,,0,319 JD,6557,PEK,3364,HLD,3366,,0,319 JD,6557,PEK,3364,JXA,8417,,0,319 JD,6557,PEK,3364,LHW,3378,,0,320 JD,6557,PEK,3364,LJG,4033,,0,319 JD,6557,PEK,3364,TAO,3390,,0,319 JD,6557,PEK,3364,XMN,3383,,0,320 JD,6557,PEK,3364,YIH,6361,,0,320 JD,6557,SHE,4144,SJW,6347,,0,319 JD,6557,SJW,6347,CGQ,4380,,0,320 JD,6557,SJW,6347,HGH,3386,,0,320 JD,6557,SJW,6347,HRB,3400,,0,320 JD,6557,SJW,6347,LJG,4033,,0,319 JD,6557,SJW,6347,SHE,4144,,0,319 JD,6557,SJW,6347,SYX,4030,,0,320 JD,6557,SJW,6347,URC,3399,,0,320 JD,6557,SJW,6347,XIY,3379,,0,320 JD,6557,SYX,4030,CAN,3370,,0,320 JD,6557,SYX,4030,CGO,3375,,0,320 JD,6557,SYX,4030,CKG,3393,,0,319 JD,6557,SYX,4030,CSX,3371,,0,320 JD,6557,SYX,4030,CTU,3395,,0,320 JD,6557,SYX,4030,FOC,3385,,0,319 320 JD,6557,SYX,4030,HGH,3386,,0,320 JD,6557,SYX,4030,KHN,3384,,0,320 JD,6557,SYX,4030,KWE,3394,,0,319 JD,6557,SYX,4030,NKG,3388,,0,320 JD,6557,SYX,4030,NNG,3373,,0,319 JD,6557,SYX,4030,SJW,6347,,0,320 JD,6557,SYX,4030,TSN,3368,,0,320 JD,6557,SYX,4030,WUH,3376,,0,320 JD,6557,SYX,4030,XIY,3379,,0,320 JD,6557,SYX,4030,XMN,3383,,0,319 JD,6557,SYX,4030,YIH,6361,,0,320 JD,6557,TAO,3390,HGH,3386,,0,319 JD,6557,TAO,3390,PEK,3364,,0,319 JD,6557,TAO,3390,XIY,3379,,0,319 JD,6557,TGO,6348,HGH,3386,,0,319 JD,6557,TGO,6348,HRB,3400,,0,319 JD,6557,TNA,4108,KHN,3384,,0,320 JD,6557,TNA,4108,KWL,3372,,0,320 JD,6557,TNA,4108,LJG,4033,,0,319 JD,6557,TNA,4108,XIY,3379,,0,320 JD,6557,TSN,3368,HRB,3400,,0,319 JD,6557,TSN,3368,SYX,4030,,0,320 JD,6557,TSN,3368,XIY,3379,,0,319 JD,6557,TXN,6387,XIY,3379,,0,319 JD,6557,TXN,6387,XMN,3383,,0,319 JD,6557,TYN,3369,KWL,3372,,0,320 JD,6557,URC,3399,DNH,4308,,0,320 JD,6557,URC,3399,KHG,3397,,0,320 JD,6557,URC,3399,LHW,3378,,0,320 JD,6557,URC,3399,SJW,6347,,0,320 JD,6557,WUH,3376,DLC,3404,,0,319 JD,6557,WUH,3376,ENH,6358,,0,319 JD,6557,WUH,3376,HAK,4120,,0,319 JD,6557,WUH,3376,HET,6345,,0,320 JD,6557,WUH,3376,LJG,4033,,0,319 JD,6557,WUH,3376,SYX,4030,,0,320 JD,6557,WUH,3376,XMN,3383,,0,320 JD,6557,XIY,3379,CKG,3393,,0,320 JD,6557,XIY,3379,DYG,6353,,0,319 JD,6557,XIY,3379,HAK,4120,,0,319 320 JD,6557,XIY,3379,HFE,3389,,0,319 JD,6557,XIY,3379,HGH,3386,,0,320 JD,6557,XIY,3379,KWE,3394,,0,319 JD,6557,XIY,3379,KWL,3372,,0,319 320 JD,6557,XIY,3379,LJG,4033,,0,319 JD,6557,XIY,3379,SJW,6347,,0,320 JD,6557,XIY,3379,SYX,4030,,0,320 JD,6557,XIY,3379,TAO,3390,,0,319 JD,6557,XIY,3379,TNA,4108,,0,320 JD,6557,XIY,3379,TSN,3368,,0,319 JD,6557,XIY,3379,TXN,6387,,0,319 JD,6557,XMN,3383,HFE,3389,,0,319 JD,6557,XMN,3383,KWL,3372,,0,319 JD,6557,XMN,3383,PEK,3364,,0,320 JD,6557,XMN,3383,SYX,4030,,0,319 JD,6557,XMN,3383,TXN,6387,,0,319 JD,6557,XMN,3383,WUH,3376,,0,320 JD,6557,XUZ,4149,FOC,3385,,0,319 JD,6557,YIE,10941,HET,6345,,0,319 JD,6557,YIH,6361,HGH,3386,,0,320 JD,6557,YIH,6361,KWE,3394,,0,320 JD,6557,YIH,6361,PEK,3364,,0,320 JD,6557,YIH,6361,SYX,4030,,0,320 JE,3393,BFN,794,CPT,797,,0,733 738 JE,3393,CPT,797,BFN,794,,0,733 738 JE,3393,CPT,797,DUR,799,,0,738 JE,3393,CPT,797,HLA,820,,0,738 JE,3393,CPT,797,JNB,813,,0,738 733 JE,3393,CPT,797,PLZ,838,,0,733 JE,3393,DUR,799,CPT,797,,0,738 JE,3393,DUR,799,JNB,813,,0,738 733 JE,3393,GRJ,804,JNB,813,,0,738 733 JE,3393,HLA,820,CPT,797,,0,738 JE,3393,JNB,813,CPT,797,,0,738 733 JE,3393,JNB,813,DUR,799,,0,738 733 JE,3393,JNB,813,GRJ,804,,0,738 733 JE,3393,JNB,813,PLZ,838,,0,733 738 JE,3393,JNB,813,ZNZ,1186,,0,738 JE,3393,PLZ,838,CPT,797,,0,733 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JJ,4867,THE,2623,BSB,2531,,0,319 320 JJ,4867,THE,2623,FOR,2559,,0,319 320 JJ,4867,THE,2623,GRU,2564,,0,320 JJ,4867,UDI,2633,BSB,2531,,0,320 JJ,4867,UDI,2633,CGH,2618,,0,319 320 JJ,4867,VCP,2578,BSB,2531,,0,320 JJ,4867,VCP,2578,GIG,2560,,0,320 JJ,4867,VIX,2638,BSB,2531,,0,320 JJ,4867,VIX,2638,CGH,2618,,0,320 319 JJ,4867,VIX,2638,GIG,2560,,0,320 JJ,4867,VIX,2638,GRU,2564,,0,320 JJ,4867,VIX,2638,SDU,2612,,0,319 JJ,4867,YYZ,193,GRU,2564,Y,0,763 JL,2987,AKJ,2299,HND,2359,,0,73H JL,2987,AOJ,2340,CTS,2287,Y,0,E70 JL,2987,AOJ,2340,HND,2359,,0,73H JL,2987,AOJ,2340,ITM,2334,Y,0,E70 JL,2987,ASJ,2316,HND,2359,,0,73H JL,2987,ASJ,2316,ITM,2334,Y,0,73H JL,2987,AXT,2345,CTS,2287,Y,0,CRJ JL,2987,AXT,2345,HND,2359,Y,0,73H JL,2987,AXT,2345,ITM,2334,Y,0,CRJ JL,2987,BKI,3269,NRT,2279,,0,738 JL,2987,BKK,3885,CEI,3932,Y,0,734 JL,2987,BKK,3885,CNX,3931,Y,0,747 320 773 JL,2987,BKK,3885,FUK,2305,Y,0,330 JL,2987,BKK,3885,HKT,3179,Y,0,320 333 JL,2987,BKK,3885,HND,2359,,0,767 777 JL,2987,BKK,3885,KIX,3992,,0,767 JL,2987,BKK,3885,NRT,2279,,0,767 JL,2987,BOS,3448,MSY,3861,Y,0,E90 JL,2987,BOS,3448,NRT,2279,,0,788 JL,2987,CAN,3370,KIX,3992,Y,0,321 JL,2987,CAN,3370,NRT,2279,,0,767 JL,2987,CDG,1382,HND,2359,,0,773 JL,2987,CDG,1382,LYS,1335,Y,0,320 JL,2987,CDG,1382,NRT,2279,,0,788 JL,2987,CDG,1382,TLS,1273,Y,0,319 JL,2987,CEI,3932,BKK,3885,Y,0,734 JL,2987,CGK,3275,NRT,2279,,0,773 777 JL,2987,CJU,2370,KIX,3992,Y,0,739 JL,2987,CJU,2370,NRT,2279,Y,0,739 JL,2987,CNS,3322,BNE,3320,Y,0,333 JL,2987,CNS,3322,KIX,3992,Y,0,332 JL,2987,CNS,3322,NRT,2279,Y,0,332 JL,2987,CTS,2287,AOJ,2340,Y,0,E70 JL,2987,CTS,2287,AXT,2345,Y,0,CRJ JL,2987,CTS,2287,FUK,2305,,0,73H JL,2987,CTS,2287,HIJ,2326,Y,0,73H JL,2987,CTS,2287,HKG,3077,Y,0,744 JL,2987,CTS,2287,HNA,2344,Y,0,E70 CRJ JL,2987,CTS,2287,HND,2359,,0,777 773 73H 767 JL,2987,CTS,2287,ICN,3930,Y,0,73H 744 333 772 JL,2987,CTS,2287,ITM,2334,,0,73H JL,2987,CTS,2287,KIJ,4381,Y,0,CRJ JL,2987,CTS,2287,KIX,3992,,0,73H JL,2987,CTS,2287,MMB,2290,Y,0,CRJ E70 JL,2987,CTS,2287,NGO,3942,Y,0,73H JL,2987,CTS,2287,NRT,2279,Y,0,773 JL,2987,CTS,2287,PVG,3406,Y,0,321 320 JL,2987,CTS,2287,SDJ,2347,Y,0,CRJ JL,2987,DEL,3093,NRT,2279,,0,777 JL,2987,DFW,3670,MSY,3861,Y,0,M80 M83 JL,2987,DFW,3670,NRT,2279,Y,0,777 JL,2987,DLC,3404,NRT,2279,,0,767 JL,2987,DME,4029,NRT,2279,,0,788 JL,2987,DOH,11051,KIX,3992,,0,332 JL,2987,DOH,11051,NRT,2279,,0,77L JL,2987,DXB,2188,HND,2359,Y,0,772 JL,2987,DXB,2188,KIX,3992,Y,0,773 JL,2987,DXB,2188,NRT,2279,Y,0,773 JL,2987,FRA,340,NRT,2279,,0,773 JL,2987,FSZ,6476,PVG,3406,Y,0,738 JL,2987,FUK,2305,BKK,3885,Y,0,330 JL,2987,FUK,2305,CTS,2287,,0,73H JL,2987,FUK,2305,HAN,3199,Y,0,321 JL,2987,FUK,2305,HNA,2344,Y,0,E70 JL,2987,FUK,2305,HND,2359,,0,777 767 73H JL,2987,FUK,2305,ICN,3930,Y,0,333 739 773 JL,2987,FUK,2305,ITM,2334,,0,E70 JL,2987,FUK,2305,NRT,2279,Y,0,73H JL,2987,FUK,2305,PVG,3406,Y,0,320 738 JL,2987,FUK,2305,SDJ,2347,Y,0,E70 JL,2987,FUK,2305,SGN,3205,Y,0,321 JL,2987,FUK,2305,TAO,3390,Y,0,319 JL,2987,FUK,2305,TPE,2276,Y,0,772 JL,2987,GAJ,2341,HND,2359,,0,E70 JL,2987,GAJ,2341,ITM,2334,Y,0,E70 CRJ JL,2987,GMP,2378,HND,2359,,0,767 JL,2987,GMP,2378,KIX,3992,,0,73H JL,2987,GUM,2246,NRT,2279,,0,767 JL,2987,HAN,3199,FUK,2305,Y,0,321 JL,2987,HAN,3199,KIX,3992,Y,0,321 JL,2987,HAN,3199,NGO,3942,Y,0,321 JL,2987,HAN,3199,NRT,2279,,0,767 JL,2987,HEL,421,KIX,3992,Y,0,333 JL,2987,HEL,421,NGO,3942,Y,0,333 JL,2987,HEL,421,NRT,2279,,0,788 JL,2987,HIJ,2326,CTS,2287,Y,0,73H JL,2987,HIJ,2326,HND,2359,,0,73H JL,2987,HIJ,2326,PVG,3406,Y,0,320 JL,2987,HKD,2288,HND,2359,,0,73H 767 JL,2987,HKD,2288,ITM,2334,Y,0,CRJ JL,2987,HKG,3077,CNS,3322,Y,0,333 JL,2987,HKG,3077,CTS,2287,Y,0,744 JL,2987,HKG,3077,HND,2359,,0,777 767 JL,2987,HKG,3077,KIX,3992,Y,0,333 744 773 343 772 JL,2987,HKG,3077,NGO,3942,Y,0,333 343 JL,2987,HKG,3077,NRT,2279,,0,767 JL,2987,HKG,3077,TPE,2276,Y,0,333 744 773 772 JL,2987,HKT,3179,BKK,3885,Y,0,320 JL,2987,HNA,2344,CTS,2287,Y,0,E70 CRJ JL,2987,HNA,2344,FUK,2305,Y,0,E70 JL,2987,HNA,2344,ITM,2334,Y,0,E70 CRJ JL,2987,HND,2359,AKJ,2299,,0,73H JL,2987,HND,2359,AOJ,2340,,0,73H JL,2987,HND,2359,ASJ,2316,,0,73H JL,2987,HND,2359,AXT,2345,Y,0,73H JL,2987,HND,2359,BKK,3885,,0,767 777 JL,2987,HND,2359,CDG,1382,,0,773 JL,2987,HND,2359,CTS,2287,,0,773 777 73H 767 JL,2987,HND,2359,DXB,2188,Y,0,772 JL,2987,HND,2359,FUK,2305,,0,767 777 73H JL,2987,HND,2359,GAJ,2341,,0,E70 JL,2987,HND,2359,GMP,2378,,0,767 JL,2987,HND,2359,HIJ,2326,,0,73H JL,2987,HND,2359,HKD,2288,,0,73H 767 JL,2987,HND,2359,HKG,3077,,0,777 767 JL,2987,HND,2359,HNL,3728,,0,777 JL,2987,HND,2359,ITM,2334,,0,767 777 JL,2987,HND,2359,IZO,2328,,0,767 73H JL,2987,HND,2359,KCZ,2332,,0,73H JL,2987,HND,2359,KIX,3992,,0,73H JL,2987,HND,2359,KKJ,2311,,0,73H JL,2987,HND,2359,KMI,2308,,0,73H JL,2987,HND,2359,KMJ,2312,,0,73H 767 JL,2987,HND,2359,KMQ,2322,,0,767 JL,2987,HND,2359,KOJ,2307,,0,73H 767 JL,2987,HND,2359,KUH,5994,,0,73H JL,2987,HND,2359,LHR,507,,0,773 JL,2987,HND,2359,MMB,2290,,0,73H JL,2987,HND,2359,MSJ,2346,,0,73H E70 JL,2987,HND,2359,MYJ,2333,,0,767 JL,2987,HND,2359,NGO,3942,,0,73H 773 JL,2987,HND,2359,NGS,2313,,0,73H JL,2987,HND,2359,OBO,2286,,0,73H JL,2987,HND,2359,OIT,2310,,0,73H JL,2987,HND,2359,OKA,2384,,0,777 73H 773 767 JL,2987,HND,2359,OKJ,2327,,0,73H JL,2987,HND,2359,PEK,3364,,0,767 JL,2987,HND,2359,SFO,3469,,0,788 JL,2987,HND,2359,SGN,3205,,0,767 JL,2987,HND,2359,SHA,3391,,0,767 777 JL,2987,HND,2359,SHM,2284,,0,E70 JL,2987,HND,2359,SIN,3316,,0,767 777 JL,2987,HND,2359,TAK,2337,,0,73H JL,2987,HND,2359,TKS,2336,,0,767 JL,2987,HND,2359,TSA,2275,,0,767 JL,2987,HND,2359,UBJ,2296,,0,73H JL,2987,HNL,3728,HND,2359,,0,777 JL,2987,HNL,3728,KIX,3992,,0,777 JL,2987,HNL,3728,NGO,3942,,0,788 777 JL,2987,HNL,3728,NRT,2279,,0,767 788 777 JL,2987,ICN,3930,CTS,2287,Y,0,744 73H 333 772 JL,2987,ICN,3930,FUK,2305,Y,0,333 739 773 JL,2987,ICN,3930,KIJ,4381,Y,0,73J JL,2987,ICN,3930,KIX,3992,Y,0,333 73H 772 773 332 JL,2987,ICN,3930,KMQ,2322,Y,0,73H JL,2987,ICN,3930,KOJ,2307,Y,0,73H 73J 739 JL,2987,ICN,3930,NGO,3942,Y,0,73H 332 333 772 JL,2987,ICN,3930,NRT,2279,,0,73H JL,2987,ITM,2334,AOJ,2340,Y,0,E70 JL,2987,ITM,2334,ASJ,2316,Y,0,73H JL,2987,ITM,2334,AXT,2345,Y,0,CRJ JL,2987,ITM,2334,CTS,2287,,0,73H JL,2987,ITM,2334,FUK,2305,,0,E70 JL,2987,ITM,2334,GAJ,2341,Y,0,E70 CRJ JL,2987,ITM,2334,HKD,2288,Y,0,CRJ JL,2987,ITM,2334,HNA,2344,Y,0,E70 CRJ JL,2987,ITM,2334,HND,2359,,0,777 767 JL,2987,ITM,2334,KIJ,4381,Y,0,E70 JL,2987,ITM,2334,KMI,2308,Y,0,CRJ E70 JL,2987,ITM,2334,KMJ,2312,Y,0,E70 CRJ JL,2987,ITM,2334,KOJ,2307,Y,0,73H E70 JL,2987,ITM,2334,MSJ,2346,Y,0,E70 JL,2987,ITM,2334,MYJ,2333,Y,0,CRJ JL,2987,ITM,2334,NGS,2313,Y,0,E70 JL,2987,ITM,2334,NRT,2279,,0,773 JL,2987,ITM,2334,OIT,2310,Y,0,CRJ JL,2987,ITM,2334,OKA,2384,,0,773 JL,2987,ITM,2334,SDJ,2347,Y,0,E70 JL,2987,IZO,2328,HND,2359,,0,767 73H JL,2987,JFK,3797,MSY,3861,Y,0,E90 JL,2987,JFK,3797,NRT,2279,,0,788 773 JL,2987,KCZ,2332,HND,2359,,0,73H JL,2987,KHH,2264,NRT,2279,,0,767 JL,2987,KHV,2927,NRT,2279,Y,0,320 JL,2987,KIJ,4381,CTS,2287,Y,0,CRJ JL,2987,KIJ,4381,ICN,3930,Y,0,739 73J JL,2987,KIJ,4381,ITM,2334,Y,0,E70 JL,2987,KIJ,4381,PVG,3406,Y,0,319 JL,2987,KIX,3992,BKK,3885,,0,767 JL,2987,KIX,3992,CAN,3370,Y,0,321 JL,2987,KIX,3992,CJU,2370,Y,0,739 JL,2987,KIX,3992,CNS,3322,Y,0,332 JL,2987,KIX,3992,CTS,2287,,0,73H JL,2987,KIX,3992,DOH,11051,,0,332 JL,2987,KIX,3992,DXB,2188,Y,0,773 JL,2987,KIX,3992,GMP,2378,,0,73H JL,2987,KIX,3992,HAN,3199,Y,0,321 JL,2987,KIX,3992,HEL,421,Y,0,333 JL,2987,KIX,3992,HKG,3077,Y,0,333 773 744 343 772 JL,2987,KIX,3992,HND,2359,,0,73H JL,2987,KIX,3992,HNL,3728,,0,777 JL,2987,KIX,3992,ICN,3930,Y,0,772 333 73H 773 332 JL,2987,KIX,3992,KUL,3304,Y,0,333 JL,2987,KIX,3992,NKG,3388,Y,0,320 JL,2987,KIX,3992,OOL,3321,Y,0,332 JL,2987,KIX,3992,PUS,2372,Y,0,73H JL,2987,KIX,3992,PVG,3406,,0,767 73H JL,2987,KIX,3992,SGN,3205,Y,0,332 JL,2987,KIX,3992,SHE,4144,Y,0,320 JL,2987,KIX,3992,TAO,3390,Y,0,320 JL,2987,KIX,3992,TPE,2276,,0,767 73H JL,2987,KIX,3992,YNT,3392,Y,0,320 JL,2987,KKJ,2311,HND,2359,,0,73H JL,2987,KMG,3382,PVG,3406,Y,0,738 JL,2987,KMI,2308,HND,2359,,0,73H JL,2987,KMI,2308,ITM,2334,Y,0,CRJ E70 JL,2987,KMJ,2312,HND,2359,,0,767 73H JL,2987,KMJ,2312,ITM,2334,Y,0,E70 CRJ JL,2987,KMQ,2322,HND,2359,,0,767 JL,2987,KMQ,2322,ICN,3930,Y,0,73H JL,2987,KMQ,2322,PVG,3406,Y,0,319 JL,2987,KOJ,2307,HND,2359,,0,767 73H JL,2987,KOJ,2307,ICN,3930,Y,0,73H 73J 739 JL,2987,KOJ,2307,ITM,2334,Y,0,E70 73H JL,2987,KOJ,2307,PVG,3406,Y,0,319 JL,2987,KUH,5994,HND,2359,,0,73H JL,2987,KUL,3304,KIX,3992,Y,0,333 JL,2987,KUL,3304,NRT,2279,,0,767 JL,2987,LAX,3484,LIM,2789,Y,0,763 JL,2987,LAX,3484,NRT,2279,,0,773 JL,2987,LHR,507,HND,2359,,0,773 JL,2987,LHR,507,NRT,2279,Y,0,777 JL,2987,LIM,2789,LAX,3484,Y,0,763 JL,2987,LIM,2789,SCL,2650,Y,0,763 JL,2987,MMB,2290,CTS,2287,Y,0,CRJ E70 JL,2987,MMB,2290,HND,2359,,0,73H JL,2987,MNL,2397,NRT,2279,,0,767 JL,2987,MSJ,2346,HND,2359,,0,73H E70 JL,2987,MSJ,2346,ITM,2334,Y,0,E70 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JL,2987,NRT,2279,CJU,2370,Y,0,739 JL,2987,NRT,2279,CNS,3322,Y,0,332 JL,2987,NRT,2279,CTS,2287,Y,0,773 JL,2987,NRT,2279,DEL,3093,,0,777 JL,2987,NRT,2279,DFW,3670,Y,0,777 JL,2987,NRT,2279,DLC,3404,,0,767 JL,2987,NRT,2279,DME,4029,,0,788 JL,2987,NRT,2279,DOH,11051,,0,77L JL,2987,NRT,2279,DXB,2188,Y,0,773 JL,2987,NRT,2279,FRA,340,,0,773 JL,2987,NRT,2279,FUK,2305,Y,0,73H JL,2987,NRT,2279,GUM,2246,,0,767 JL,2987,NRT,2279,HAN,3199,,0,767 JL,2987,NRT,2279,HEL,421,,0,788 JL,2987,NRT,2279,HKG,3077,,0,767 JL,2987,NRT,2279,HNL,3728,,0,788 777 JL,2987,NRT,2279,ICN,3930,,0,73H JL,2987,NRT,2279,ITM,2334,,0,773 JL,2987,NRT,2279,JFK,3797,,0,773 788 JL,2987,NRT,2279,KHH,2264,,0,767 JL,2987,NRT,2279,KHV,2927,Y,0,320 JL,2987,NRT,2279,KUL,3304,,0,767 JL,2987,NRT,2279,LAX,3484,,0,773 JL,2987,NRT,2279,LHR,507,Y,0,777 JL,2987,NRT,2279,MNL,2397,,0,767 JL,2987,NRT,2279,NGO,3942,,0,788 JL,2987,NRT,2279,NKG,3388,Y,0,320 JL,2987,NRT,2279,OKA,2384,Y,0,767 JL,2987,NRT,2279,OOL,3321,Y,0,332 JL,2987,NRT,2279,ORD,3830,,0,773 JL,2987,NRT,2279,PEK,3364,,0,73H 767 JL,2987,NRT,2279,PPT,4075,Y,0,343 JL,2987,NRT,2279,PUS,2372,,0,73H JL,2987,NRT,2279,PVG,3406,,0,767 JL,2987,NRT,2279,ROR,2256,,0,767 JL,2987,NRT,2279,SAN,3731,,0,788 JL,2987,NRT,2279,SGN,3205,,0,767 JL,2987,NRT,2279,SHE,4144,Y,0,320 JL,2987,NRT,2279,SIN,3316,,0,767 JL,2987,NRT,2279,SYD,3361,,0,777 JL,2987,NRT,2279,TPE,2276,,0,73H JL,2987,NRT,2279,VVO,2934,Y,0,320 JL,2987,NRT,2279,YVR,156,,0,788 JL,2987,OBO,2286,HND,2359,,0,73H JL,2987,OIT,2310,HND,2359,,0,73H JL,2987,OIT,2310,ITM,2334,Y,0,CRJ JL,2987,OKA,2384,HND,2359,,0,767 777 73H 773 JL,2987,OKA,2384,ITM,2334,,0,773 JL,2987,OKA,2384,NRT,2279,Y,0,767 JL,2987,OKA,2384,PVG,3406,Y,0,320 JL,2987,OKJ,2327,HND,2359,,0,73H JL,2987,OKJ,2327,PVG,3406,Y,0,320 JL,2987,OOL,3321,KIX,3992,Y,0,332 JL,2987,OOL,3321,NRT,2279,Y,0,332 JL,2987,ORD,3830,ATL,3682,Y,0,E75 JL,2987,ORD,3830,MSY,3861,Y,0,E75 JL,2987,ORD,3830,NRT,2279,,0,773 JL,2987,PEK,3364,HND,2359,,0,767 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JL,2987,SGN,3205,FUK,2305,Y,0,321 JL,2987,SGN,3205,HND,2359,,0,767 JL,2987,SGN,3205,KIX,3992,Y,0,332 JL,2987,SGN,3205,NRT,2279,,0,767 JL,2987,SHA,3391,HND,2359,,0,767 777 JL,2987,SHE,4144,KIX,3992,Y,0,320 JL,2987,SHE,4144,NRT,2279,Y,0,320 JL,2987,SHM,2284,HND,2359,,0,E70 JL,2987,SIN,3316,HND,2359,,0,767 777 JL,2987,SIN,3316,NRT,2279,,0,767 JL,2987,SYD,3361,NRT,2279,,0,777 JL,2987,TAK,2337,HND,2359,,0,73H JL,2987,TAO,3390,FUK,2305,Y,0,319 JL,2987,TAO,3390,KIX,3992,Y,0,320 JL,2987,TAO,3390,NGO,3942,Y,0,321 JL,2987,TKS,2336,HND,2359,,0,767 73H JL,2987,TPE,2276,FUK,2305,Y,0,772 JL,2987,TPE,2276,HKG,3077,Y,0,333 744 772 JL,2987,TPE,2276,KIX,3992,,0,73H 767 JL,2987,TPE,2276,NGO,3942,,0,73H JL,2987,TPE,2276,NRT,2279,,0,73H JL,2987,TSA,2275,HND,2359,,0,767 JL,2987,TSN,3368,NGO,3942,,0,73H JL,2987,UBJ,2296,HND,2359,,0,73H JL,2987,VVO,2934,NRT,2279,Y,0,320 JL,2987,WUH,3376,PVG,3406,Y,0,738 JL,2987,XIY,3379,PVG,3406,Y,0,320 JL,2987,YEG,49,YVR,156,Y,0,73W JL,2987,YEG,49,YZF,196,Y,0,73W JL,2987,YNT,3392,KIX,3992,Y,0,320 JL,2987,YVR,156,NRT,2279,,0,788 JL,2987,YVR,156,YEG,49,Y,0,73W JL,2987,YZF,196,YEG,49,Y,0,73W JN,2264,AHO,1517,FCO,1555,,0,320 JN,2264,BLQ,1538,TIA,1190,,0,320 JN,2264,FCO,1555,AHO,1517,,0,320 JN,2264,MXP,1524,TIA,1190,,0,320 JN,2264,TIA,1190,BLQ,1538,,0,320 JN,2264,TIA,1190,MXP,1524,,0,320 JN,2264,TIA,1190,VRN,1550,,0,320 JN,2264,VRN,1550,TIA,1190,,0,320 JP,83,AMS,580,LJU,1569,,0,319 CR9 JP,83,BRU,302,LJU,1569,,0,319 CR9 JP,83,CDG,1382,LJU,1569,,0,CR9 319 CR2 JP,83,CPH,609,LJU,1569,,0,CR9 JP,83,FRA,340,LJU,1569,,0,CR9 319 JP,83,FRA,340,PRN,1742,,0,319 JP,83,FRA,340,TIA,1190,,0,319 JP,83,IST,1701,LJU,1569,,0,CR9 319 JP,83,LJU,1569,AMS,580,,0,319 CR9 JP,83,LJU,1569,BRU,302,,0,319 CR9 JP,83,LJU,1569,CDG,1382,,0,CR9 319 CR2 JP,83,LJU,1569,CPH,609,,0,CR9 JP,83,LJU,1569,FRA,340,,0,CR9 319 JP,83,LJU,1569,IST,1701,,0,319 CR9 JP,83,LJU,1569,MUC,346,,0,CR9 CR2 JP,83,LJU,1569,PRG,1587,,0,CR2 JP,83,LJU,1569,PRN,1742,,0,CR9 CR2 JP,83,LJU,1569,SJJ,1646,,0,CR2 JP,83,LJU,1569,SKP,1737,,0,CR9 CR2 JP,83,LJU,1569,SVO,2985,,0,319 CR9 CR2 JP,83,LJU,1569,TGD,1741,,0,CR2 CR9 JP,83,LJU,1569,TIA,1190,,0,CR9 CR2 JP,83,LJU,1569,VIE,1613,,0,CR9 CR2 JP,83,LJU,1569,WAW,679,,0,CR2 JP,83,LJU,1569,ZRH,1678,,0,CR9 CR2 319 JP,83,MUC,346,LJU,1569,,0,CR9 CR2 JP,83,MUC,346,PRN,1742,,0,319 JP,83,PRG,1587,LJU,1569,,0,CR2 JP,83,PRN,1742,FRA,340,,0,319 JP,83,PRN,1742,LJU,1569,,0,CR9 CR2 JP,83,PRN,1742,MUC,346,,0,319 JP,83,SJJ,1646,LJU,1569,,0,CR2 JP,83,SKP,1737,LJU,1569,,0,CR2 CR9 JP,83,SVO,2985,LJU,1569,,0,CR2 319 CR9 JP,83,TGD,1741,LJU,1569,,0,CR9 CR2 JP,83,TIA,1190,FRA,340,,0,319 JP,83,TIA,1190,LJU,1569,,0,CR9 CR2 JP,83,VIE,1613,LJU,1569,,0,CR9 CR2 JP,83,WAW,679,LJU,1569,,0,CR2 JP,83,ZRH,1678,LJU,1569,,0,CR9 CR2 319 JQ,3052,ADL,3341,AKL,2006,,0,320 JQ,3052,ADL,3341,BNE,3320,,0,320 JQ,3052,ADL,3341,CNS,3322,,0,320 JQ,3052,ADL,3341,DPS,3940,,0,320 JQ,3052,ADL,3341,DRW,3999,,0,320 JQ,3052,ADL,3341,MEL,3339,,0,320 JQ,3052,ADL,3341,OOL,3321,,0,320 JQ,3052,ADL,3341,PER,3351,,0,320 JQ,3052,ADL,3341,SYD,3361,,0,320 JQ,3052,AKL,2006,ADL,3341,,0,320 JQ,3052,AKL,2006,CHC,2009,,0,320 JQ,3052,AKL,2006,DUD,2011,,0,320 JQ,3052,AKL,2006,MEL,3339,,0,320 JQ,3052,AKL,2006,OOL,3321,,0,320 JQ,3052,AKL,2006,SIN,3316,,0,332 JQ,3052,AKL,2006,SYD,3361,,0,320 JQ,3052,AKL,2006,WLG,2042,,0,320 JQ,3052,AKL,2006,ZQN,2030,,0,320 JQ,3052,AVV,3332,SYD,3361,,0,320 JQ,3052,AYQ,4010,SYD,3361,,0,320 JQ,3052,BKK,3885,MEL,3339,,0,332 JQ,3052,BNE,3320,ADL,3341,,0,320 JQ,3052,BNE,3320,CNS,3322,,0,320 JQ,3052,BNE,3320,DPS,3940,,0,788 JQ,3052,BNE,3320,DRW,3999,,0,320 JQ,3052,BNE,3320,HBA,3336,,0,320 JQ,3052,BNE,3320,HTI,6242,,0,320 JQ,3052,BNE,3320,LST,3337,,0,320 JQ,3052,BNE,3320,MEL,3339,,0,320 321 JQ,3052,BNE,3320,MKY,3326,,0,320 JQ,3052,BNE,3320,NTL,4320,,0,320 JQ,3052,BNE,3320,PER,3351,,0,320 JQ,3052,BNE,3320,PPP,3328,,0,320 JQ,3052,BNE,3320,SYD,3361,,0,320 321 JQ,3052,BNE,3320,TSV,3330,,0,320 JQ,3052,BNK,4291,MEL,3339,,0,320 JQ,3052,BNK,4291,SYD,3361,,0,320 JQ,3052,CHC,2009,AKL,2006,,0,320 JQ,3052,CHC,2009,MEL,3339,,0,320 JQ,3052,CHC,2009,OOL,3321,,0,320 JQ,3052,CHC,2009,SYD,3361,,0,320 JQ,3052,CHC,2009,WLG,2042,,0,320 JQ,3052,CNS,3322,ADL,3341,,0,320 JQ,3052,CNS,3322,BNE,3320,,0,320 JQ,3052,CNS,3322,DRW,3999,,0,320 JQ,3052,CNS,3322,KIX,3992,,0,332 JQ,3052,CNS,3322,MEL,3339,,0,321 320 332 JQ,3052,CNS,3322,NRT,2279,,0,332 JQ,3052,CNS,3322,OOL,3321,,0,320 JQ,3052,CNS,3322,PER,3351,,0,320 JQ,3052,CNS,3322,SYD,3361,,0,320 321 JQ,3052,DPS,3940,ADL,3341,,0,320 JQ,3052,DPS,3940,BNE,3320,,0,788 JQ,3052,DPS,3940,DRW,3999,,0,320 JQ,3052,DPS,3940,MEL,3339,,0,788 JQ,3052,DPS,3940,PER,3351,,0,320 JQ,3052,DPS,3940,SIN,3316,,0,320 JQ,3052,DPS,3940,SYD,3361,,0,788 JQ,3052,DRW,3999,ADL,3341,,0,320 JQ,3052,DRW,3999,BNE,3320,,0,320 JQ,3052,DRW,3999,CNS,3322,,0,320 JQ,3052,DRW,3999,DPS,3940,,0,320 JQ,3052,DRW,3999,MEL,3339,,0,320 JQ,3052,DRW,3999,SYD,3361,,0,320 JQ,3052,DUD,2011,AKL,2006,,0,320 JQ,3052,HBA,3336,BNE,3320,,0,320 JQ,3052,HBA,3336,MEL,3339,,0,320 321 JQ,3052,HBA,3336,SYD,3361,,0,320 JQ,3052,HKT,3179,MEL,3339,,0,788 JQ,3052,HKT,3179,SYD,3361,,0,788 JQ,3052,HNL,3728,MEL,3339,,0,332 JQ,3052,HNL,3728,SYD,3361,,0,332 JQ,3052,HTI,6242,BNE,3320,,0,320 JQ,3052,HTI,6242,MEL,3339,,0,320 JQ,3052,HTI,6242,SYD,3361,,0,320 JQ,3052,KIX,3992,CNS,3322,,0,332 JQ,3052,KIX,3992,OOL,3321,,0,332 JQ,3052,LOP,8401,PER,3351,,0,320 JQ,3052,LST,3337,BNE,3320,,0,320 JQ,3052,LST,3337,MEL,3339,,0,320 JQ,3052,LST,3337,SYD,3361,,0,320 JQ,3052,MCY,3325,MEL,3339,,0,320 JQ,3052,MCY,3325,SYD,3361,,0,320 JQ,3052,MEL,3339,ADL,3341,,0,320 JQ,3052,MEL,3339,AKL,2006,,0,320 JQ,3052,MEL,3339,BKK,3885,,0,332 JQ,3052,MEL,3339,BNE,3320,,0,321 320 JQ,3052,MEL,3339,BNK,4291,,0,320 JQ,3052,MEL,3339,CHC,2009,,0,320 JQ,3052,MEL,3339,CNS,3322,,0,321 320 332 JQ,3052,MEL,3339,DPS,3940,,0,788 JQ,3052,MEL,3339,DRW,3999,,0,320 JQ,3052,MEL,3339,HBA,3336,,0,320 321 JQ,3052,MEL,3339,HKT,3179,,0,788 JQ,3052,MEL,3339,HNL,3728,,0,332 JQ,3052,MEL,3339,HTI,6242,,0,320 JQ,3052,MEL,3339,LST,3337,,0,320 JQ,3052,MEL,3339,MCY,3325,,0,320 JQ,3052,MEL,3339,NRT,2279,,0,332 JQ,3052,MEL,3339,NTL,4320,,0,320 JQ,3052,MEL,3339,OOL,3321,,0,321 320 JQ,3052,MEL,3339,PER,3351,,0,320 JQ,3052,MEL,3339,SIN,3316,,0,332 JQ,3052,MEL,3339,SYD,3361,,0,320 321 788 JQ,3052,MEL,3339,TSV,3330,,0,321 JQ,3052,MEL,3339,ZQN,2030,,0,320 JQ,3052,MKY,3326,BNE,3320,,0,320 JQ,3052,NAN,1960,SYD,3361,,0,320 JQ,3052,NRT,2279,CNS,3322,,0,332 JQ,3052,NRT,2279,MEL,3339,,0,332 JQ,3052,NRT,2279,OOL,3321,,0,332 JQ,3052,NTL,4320,BNE,3320,,0,320 JQ,3052,NTL,4320,MEL,3339,,0,320 JQ,3052,NTL,4320,OOL,3321,,0,320 JQ,3052,OOL,3321,ADL,3341,,0,320 JQ,3052,OOL,3321,AKL,2006,,0,320 JQ,3052,OOL,3321,CHC,2009,,0,320 JQ,3052,OOL,3321,CNS,3322,,0,320 JQ,3052,OOL,3321,KIX,3992,,0,332 JQ,3052,OOL,3321,MEL,3339,,0,320 321 JQ,3052,OOL,3321,NRT,2279,,0,332 JQ,3052,OOL,3321,NTL,4320,,0,320 JQ,3052,OOL,3321,SYD,3361,,0,320 332 321 JQ,3052,PER,3351,ADL,3341,,0,320 JQ,3052,PER,3351,BNE,3320,,0,320 JQ,3052,PER,3351,CNS,3322,,0,320 JQ,3052,PER,3351,DPS,3940,,0,320 JQ,3052,PER,3351,LOP,8401,,0,320 JQ,3052,PER,3351,MEL,3339,,0,320 JQ,3052,PER,3351,SYD,3361,,0,321 JQ,3052,PPP,3328,BNE,3320,,0,320 JQ,3052,SIN,3316,AKL,2006,,0,332 JQ,3052,SIN,3316,DPS,3940,,0,320 JQ,3052,SIN,3316,MEL,3339,,0,332 JQ,3052,SYD,3361,ADL,3341,,0,320 JQ,3052,SYD,3361,AKL,2006,,0,320 JQ,3052,SYD,3361,AVV,3332,,0,320 JQ,3052,SYD,3361,AYQ,4010,,0,320 JQ,3052,SYD,3361,BNE,3320,,0,320 321 JQ,3052,SYD,3361,BNK,4291,,0,320 JQ,3052,SYD,3361,CHC,2009,,0,320 JQ,3052,SYD,3361,CNS,3322,,0,321 320 JQ,3052,SYD,3361,DPS,3940,,0,788 JQ,3052,SYD,3361,DRW,3999,,0,320 JQ,3052,SYD,3361,HBA,3336,,0,320 JQ,3052,SYD,3361,HKT,3179,,0,788 JQ,3052,SYD,3361,HNL,3728,,0,332 JQ,3052,SYD,3361,HTI,6242,,0,320 JQ,3052,SYD,3361,LST,3337,,0,320 JQ,3052,SYD,3361,MCY,3325,,0,320 JQ,3052,SYD,3361,MEL,3339,,0,320 321 788 332 JQ,3052,SYD,3361,NAN,1960,,0,320 JQ,3052,SYD,3361,OOL,3321,,0,320 321 JQ,3052,SYD,3361,PER,3351,,0,321 JQ,3052,SYD,3361,TSV,3330,,0,320 JQ,3052,SYD,3361,ZQN,2030,,0,320 JQ,3052,TSV,3330,BNE,3320,,0,320 JQ,3052,TSV,3330,MEL,3339,,0,321 JQ,3052,TSV,3330,SYD,3361,,0,320 JQ,3052,WLG,2042,AKL,2006,,0,320 JQ,3052,WLG,2042,CHC,2009,,0,320 JQ,3052,ZQN,2030,AKL,2006,,0,320 JQ,3052,ZQN,2030,SYD,3361,,0,320 JS,998,FNJ,3377,KUL,3304,,0,T20 JS,998,FNJ,3377,PEK,3364,,0,A81 T20 JS,998,FNJ,3377,SHE,4144,,0,T20 JS,998,FNJ,3377,VVO,2934,,0,T20 JS,998,KUL,3304,FNJ,3377,,0,T20 JS,998,PEK,3364,FNJ,3377,,0,A81 T20 JS,998,SHE,4144,FNJ,3377,,0,T20 JS,998,VVO,2934,FNJ,3377,,0,T20 JT,3290,AMQ,3256,CGK,3275,,0,739 JT,3290,AMQ,3256,FKQ,3257,Y,0,ATR JT,3290,AMQ,3256,LUV,6212,Y,0,ATR JT,3290,AMQ,3256,MKW,3260,Y,0,ATR JT,3290,AMQ,3256,NBX,3242,Y,0,ATR JT,3290,AMQ,3256,SOQ,3261,Y,0,ATR JT,3290,AMQ,3256,SUB,3928,,0,739 JT,3290,AMQ,3256,UPG,3240,,0,739 JT,3290,BDJ,3908,BDO,3896,,0,738 JT,3290,BDJ,3908,BPN,3919,,0,738 JT,3290,BDJ,3908,CGK,3275,,0,739 738 JT,3290,BDJ,3908,JOG,3898,,0,739 JT,3290,BDJ,3908,KBU,6231,Y,0,ATR JT,3290,BDJ,3908,SRG,3901,,0,739 JT,3290,BDJ,3908,SUB,3928,,0,739 738 JT,3290,BDO,3896,BDJ,3908,,0,738 JT,3290,BDO,3896,BTH,3903,,0,738 JT,3290,BDO,3896,DPS,3940,,0,738 JT,3290,BDO,3896,JOG,3898,Y,0,ATR JT,3290,BDO,3896,KUL,3304,,0,738 JT,3290,BDO,3896,PKU,3273,,0,738 JT,3290,BDO,3896,SUB,3928,,0,738 JT,3290,BEJ,6209,BPN,3919,Y,0,ATR JT,3290,BKS,3288,BTH,3903,Y,0,ATR JT,3290,BKS,3288,CGK,3275,,0,738 739 JT,3290,BMU,3924,DPS,3940,Y,0,ATR JT,3290,BPN,3919,BDJ,3908,,0,738 JT,3290,BPN,3919,BEJ,6209,Y,0,ATR JT,3290,BPN,3919,BTH,3903,,0,738 JT,3290,BPN,3919,CGK,3275,,0,739 JT,3290,BPN,3919,JOG,3898,,0,739 JT,3290,BPN,3919,MDC,3250,,0,738 JT,3290,BPN,3919,PLW,3249,,0,738 JT,3290,BPN,3919,SRG,3901,,0,738 739 JT,3290,BPN,3919,SUB,3928,,0,739 738 JT,3290,BPN,3919,TRK,3920,,0,739 JT,3290,BPN,3919,UPG,3240,,0,739 JT,3290,BTH,3903,BDO,3896,,0,738 JT,3290,BTH,3903,BKS,3288,Y,0,ATR JT,3290,BTH,3903,BPN,3919,,0,738 JT,3290,BTH,3903,CGK,3275,,0,739 JT,3290,BTH,3903,DJB,3287,,0,739 JT,3290,BTH,3903,DPS,3940,,0,739 JT,3290,BTH,3903,JOG,3898,,0,738 JT,3290,BTH,3903,NTX,6225,Y,0,ATR JT,3290,BTH,3903,PDG,8807,,0,734 JT,3290,BTH,3903,PGK,3905,Y,0,ATR JT,3290,BTH,3903,PKU,3273,,0,739 738 JT,3290,BTH,3903,PLM,3289,,0,739 JT,3290,BTH,3903,PNK,3284,,0,738 JT,3290,BTH,3903,SRG,3901,,0,738 JT,3290,BTH,3903,SUB,3928,,0,739 JT,3290,BTH,3903,TKG,6223,,0,738 JT,3290,BTJ,3294,CGK,3275,,0,739 JT,3290,BUW,9887,UPG,3240,Y,0,ATR JT,3290,BXB,3259,SOQ,3261,Y,0,ATR JT,3290,CGK,3275,AMQ,3256,,0,739 JT,3290,CGK,3275,BDJ,3908,,0,739 738 JT,3290,CGK,3275,BKS,3288,,0,739 738 JT,3290,CGK,3275,BPN,3919,,0,739 JT,3290,CGK,3275,BTH,3903,,0,739 JT,3290,CGK,3275,BTJ,3294,,0,739 JT,3290,CGK,3275,DJB,3287,,0,739 JT,3290,CGK,3275,DJJ,3244,,0,738 JT,3290,CGK,3275,DPS,3940,,0,739 JT,3290,CGK,3275,JED,2072,,0,744 JT,3290,CGK,3275,JOG,3898,,0,739 738 JT,3290,CGK,3275,KDI,3890,,0,738 JT,3290,CGK,3275,KUL,3304,,0,739 JT,3290,CGK,3275,LOP,8401,,0,739 738 JT,3290,CGK,3275,MDC,3250,,0,739 JT,3290,CGK,3275,PDG,8807,,0,739 JT,3290,CGK,3275,PGK,3905,,0,738 739 JT,3290,CGK,3275,PKU,3273,,0,739 JT,3290,CGK,3275,PKY,3911,,0,739 JT,3290,CGK,3275,PLM,3289,,0,739 738 JT,3290,CGK,3275,PLW,3249,,0,738 JT,3290,CGK,3275,PNK,3284,,0,738 JT,3290,CGK,3275,SIN,3316,,0,739 JT,3290,CGK,3275,SOC,3929,,0,739 JT,3290,CGK,3275,SRG,3901,,0,739 738 JT,3290,CGK,3275,SUB,3928,,0,739 738 JT,3290,CGK,3275,TKG,6223,,0,738 JT,3290,CGK,3275,TNJ,3906,,0,738 JT,3290,CGK,3275,TRK,3920,,0,738 JT,3290,CGK,3275,UPG,3240,,0,739 738 733 JT,3290,DJB,3287,BTH,3903,,0,739 JT,3290,DJB,3287,CGK,3275,,0,739 JT,3290,DJJ,3244,MKQ,3246,,0,738 JT,3290,DJJ,3244,NBX,3242,Y,0,ATR JT,3290,DJJ,3244,UPG,3240,,0,739 738 JT,3290,DPS,3940,BDO,3896,,0,738 JT,3290,DPS,3940,BMU,3924,Y,0,ATR JT,3290,DPS,3940,BTH,3903,,0,739 JT,3290,DPS,3940,CGK,3275,,0,739 JT,3290,DPS,3940,JOG,3898,,0,739 JT,3290,DPS,3940,KOE,3916,,0,739 JT,3290,DPS,3940,LBJ,3917,Y,0,ATR JT,3290,DPS,3940,LOP,8401,Y,0,ATR JT,3290,DPS,3940,MLG,3894,Y,0,ATR JT,3290,DPS,3940,MOF,3913,Y,0,ATR JT,3290,DPS,3940,SRG,3901,Y,0,ATR JT,3290,DPS,3940,SUB,3928,Y,0,ATR JT,3290,DPS,3940,TMC,6204,Y,0,ATR JT,3290,DPS,3940,UPG,3240,,0,739 JT,3290,DPS,3940,WGP,3927,Y,0,ATR JT,3290,ENE,3914,KOE,3916,Y,0,ATR JT,3290,ENE,3914,LBJ,3917,Y,0,ATR JT,3290,FKQ,3257,KNG,3258,Y,0,ATR JT,3290,FKQ,3257,MKW,3260,Y,0,ATR JT,3290,FKQ,3257,SOQ,3261,Y,0,ATR JT,3290,GTO,3247,MDC,3250,Y,0,DH8 JT,3290,GTO,3247,UPG,3240,,0,738 739 JT,3290,JED,2072,CGK,3275,,0,744 JT,3290,JOG,3898,BDJ,3908,,0,739 JT,3290,JOG,3898,BDO,3896,Y,0,ATR JT,3290,JOG,3898,BPN,3919,,0,739 JT,3290,JOG,3898,BTH,3903,,0,738 JT,3290,JOG,3898,CGK,3275,,0,738 739 JT,3290,JOG,3898,DPS,3940,,0,739 JT,3290,JOG,3898,LOP,8401,,0,738 JT,3290,JOG,3898,PKU,3273,,0,738 JT,3290,JOG,3898,SUB,3928,Y,0,ATR JT,3290,JOG,3898,UPG,3240,,0,739 JT,3290,KAZ,9888,MDC,3250,Y,0,ATR JT,3290,KBU,6231,BDJ,3908,Y,0,ATR JT,3290,KBU,6231,UPG,3240,Y,0,ATR JT,3290,KDI,3890,CGK,3275,,0,738 JT,3290,KDI,3890,UPG,3240,,0,ATR 738 JT,3290,KNG,3258,AMQ,3256,Y,0,ATR JT,3290,KNG,3258,FKQ,3257,Y,0,ATR JT,3290,KNG,3258,NBX,3242,Y,0,ATR JT,3290,KOE,3916,DPS,3940,,0,739 JT,3290,KOE,3916,ENE,3914,Y,0,ATR JT,3290,KOE,3916,MOF,3913,Y,0,ATR JT,3290,KOE,3916,SUB,3928,,0,739 JT,3290,KUL,3304,BDO,3896,,0,738 JT,3290,KUL,3304,CGK,3275,,0,739 JT,3290,LBJ,3917,DPS,3940,Y,0,ATR JT,3290,LBJ,3917,ENE,3914,Y,0,ATR JT,3290,LOP,8401,CGK,3275,,0,739 738 JT,3290,LOP,8401,DPS,3940,Y,0,ATR JT,3290,LOP,8401,JOG,3898,,0,738 JT,3290,LOP,8401,SUB,3928,,0,739 JT,3290,LUV,6212,AMQ,3256,Y,0,ATR JT,3290,LUW,3254,UPG,3240,,0,ATR JT,3290,MDC,3250,BPN,3919,,0,738 JT,3290,MDC,3250,CGK,3275,,0,739 JT,3290,MDC,3250,GTO,3247,Y,0,DH8 JT,3290,MDC,3250,KAZ,9888,Y,0,ATR JT,3290,MDC,3250,MNA,9889,Y,0,ATR JT,3290,MDC,3250,NAH,3886,Y,0,DH8 ATR JT,3290,MDC,3250,SOQ,3261,Y,0,ATR JT,3290,MDC,3250,SUB,3928,,0,739 JT,3290,MDC,3250,TTE,3253,,0,733 DH8 JT,3290,MDC,3250,UPG,3240,,0,739 JT,3290,MJU,9181,UPG,3240,Y,0,ATR JT,3290,MKQ,3246,DJJ,3244,,0,738 JT,3290,MKW,3260,AMQ,3256,Y,0,ATR JT,3290,MKW,3260,FKQ,3257,Y,0,ATR JT,3290,MLG,3894,DPS,3940,Y,0,ATR JT,3290,MNA,9889,MDC,3250,Y,0,ATR JT,3290,MOF,3913,DPS,3940,Y,0,ATR JT,3290,MOF,3913,KOE,3916,Y,0,ATR JT,3290,NAH,3886,MDC,3250,Y,0,DH8 ATR JT,3290,NBX,3242,AMQ,3256,Y,0,ATR JT,3290,NBX,3242,DJJ,3244,Y,0,ATR JT,3290,NBX,3242,KNG,3258,Y,0,ATR JT,3290,NTX,6225,BTH,3903,Y,0,ATR JT,3290,PDG,8807,BTH,3903,,0,738 JT,3290,PDG,8807,CGK,3275,,0,739 JT,3290,PGK,3905,BTH,3903,Y,0,ATR JT,3290,PGK,3905,CGK,3275,,0,738 739 JT,3290,PGK,3905,TJQ,3904,Y,0,ATR JT,3290,PKU,3273,BDO,3896,,0,738 JT,3290,PKU,3273,BTH,3903,,0,739 738 JT,3290,PKU,3273,CGK,3275,,0,739 JT,3290,PKU,3273,JOG,3898,,0,738 JT,3290,PKY,3911,CGK,3275,,0,739 JT,3290,PKY,3911,SUB,3928,,0,739 JT,3290,PLM,3289,BTH,3903,,0,739 JT,3290,PLM,3289,CGK,3275,,0,739 738 JT,3290,PLM,3289,TKG,6223,,0,739 JT,3290,PLW,3249,BPN,3919,,0,738 JT,3290,PLW,3249,CGK,3275,,0,738 JT,3290,PLW,3249,SUB,3928,,0,738 JT,3290,PLW,3249,UPG,3240,,0,739 738 JT,3290,PNK,3284,BTH,3903,,0,738 JT,3290,PNK,3284,CGK,3275,,0,738 JT,3290,PSJ,3251,UPG,3240,Y,0,ATR JT,3290,PUM,8735,UPG,3240,Y,0,ATR JT,3290,SGN,3205,SIN,3316,,0,739 JT,3290,SIN,3316,CGK,3275,,0,739 JT,3290,SIN,3316,SGN,3205,,0,739 JT,3290,SOC,3929,CGK,3275,,0,739 JT,3290,SOQ,3261,AMQ,3256,Y,0,ATR JT,3290,SOQ,3261,BXB,3259,Y,0,ATR JT,3290,SOQ,3261,FKQ,3257,Y,0,ATR JT,3290,SOQ,3261,MDC,3250,Y,0,ATR JT,3290,SRG,3901,BDJ,3908,,0,739 JT,3290,SRG,3901,BPN,3919,,0,738 739 JT,3290,SRG,3901,BTH,3903,,0,738 JT,3290,SRG,3901,CGK,3275,,0,739 738 JT,3290,SRG,3901,DPS,3940,Y,0,ATR JT,3290,SRG,3901,SUB,3928,Y,0,ATR JT,3290,SUB,3928,AMQ,3256,,0,739 JT,3290,SUB,3928,BDJ,3908,,0,739 738 JT,3290,SUB,3928,BDO,3896,,0,738 JT,3290,SUB,3928,BPN,3919,,0,739 738 JT,3290,SUB,3928,BTH,3903,,0,739 JT,3290,SUB,3928,CGK,3275,,0,739 738 JT,3290,SUB,3928,DPS,3940,Y,0,ATR JT,3290,SUB,3928,JOG,3898,Y,0,ATR JT,3290,SUB,3928,KOE,3916,,0,739 JT,3290,SUB,3928,LOP,8401,,0,739 JT,3290,SUB,3928,MDC,3250,,0,739 JT,3290,SUB,3928,PKY,3911,,0,739 JT,3290,SUB,3928,SRG,3901,Y,0,ATR JT,3290,SUB,3928,TRK,3920,,0,738 JT,3290,SUB,3928,UPG,3240,,0,739 JT,3290,TJQ,3904,PGK,3905,Y,0,ATR JT,3290,TKG,6223,BTH,3903,,0,738 JT,3290,TKG,6223,CGK,3275,,0,738 JT,3290,TMC,6204,DPS,3940,Y,0,ATR JT,3290,TNJ,3906,CGK,3275,,0,738 JT,3290,TRK,3920,BPN,3919,,0,739 JT,3290,TRK,3920,CGK,3275,,0,738 JT,3290,TRK,3920,SUB,3928,,0,738 JT,3290,TRK,3920,UPG,3240,,0,733 JT,3290,TTE,3253,MDC,3250,,0,733 DH8 JT,3290,TTE,3253,UPG,3240,,0,733 JT,3290,UPG,3240,AMQ,3256,,0,739 JT,3290,UPG,3240,BPN,3919,,0,739 JT,3290,UPG,3240,BUW,9887,Y,0,ATR JT,3290,UPG,3240,CGK,3275,,0,739 738 733 JT,3290,UPG,3240,DJJ,3244,,0,739 JT,3290,UPG,3240,DPS,3940,,0,739 JT,3290,UPG,3240,GTO,3247,,0,739 738 JT,3290,UPG,3240,JOG,3898,,0,739 JT,3290,UPG,3240,KBU,6231,Y,0,ATR JT,3290,UPG,3240,KDI,3890,,0,ATR JT,3290,UPG,3240,LUW,3254,,0,ATR JT,3290,UPG,3240,MDC,3250,,0,739 JT,3290,UPG,3240,MJU,9181,Y,0,ATR JT,3290,UPG,3240,PLW,3249,,0,738 739 JT,3290,UPG,3240,PSJ,3251,,0,ATR JT,3290,UPG,3240,PUM,8735,Y,0,ATR JT,3290,UPG,3240,SUB,3928,,0,739 JT,3290,UPG,3240,TRK,3920,,0,733 JT,3290,UPG,3240,TTE,3253,,0,733 JT,3290,WGP,3927,DPS,3940,Y,0,ATR JU,19582,AMS,580,BEG,1739,,0,319 JU,19582,ARN,737,BEG,1739,,0,319 JU,19582,ATH,3941,BEG,1739,,0,319 320 JU,19582,AUH,2179,BEG,1739,,0,319 320 JU,19582,BBO,1122,BSA,5686,,0,AN4 JU,19582,BBO,1122,JIB,4119,,0,737 JU,19582,BEG,1739,AMS,580,,0,319 JU,19582,BEG,1739,ARN,737,,0,319 JU,19582,BEG,1739,ATH,3941,,0,319 320 JU,19582,BEG,1739,AUH,2179,,0,319 320 JU,19582,BEG,1739,BNX,5794,,0,AT7 JU,19582,BEG,1739,BRU,302,,0,319 JU,19582,BEG,1739,BUD,1489,,0,AT7 JU,19582,BEG,1739,CDG,1382,,0,320 JU,19582,BEG,1739,CPH,609,,0,319 JU,19582,BEG,1739,DUS,345,,0,319 JU,19582,BEG,1739,FCO,1555,,0,E90 319 733 E75 JU,19582,BEG,1739,FRA,340,,0,319 JU,19582,BEG,1739,LCA,1197,,0,319 JU,19582,BEG,1739,LHR,507,,0,319 733 JU,19582,BEG,1739,LJU,1569,,0,AT7 JU,19582,BEG,1739,MXP,1524,,0,733 JU,19582,BEG,1739,OTP,1657,,0,319 JU,19582,BEG,1739,PRG,1587,,0,AT7 JU,19582,BEG,1739,SAW,4317,,0,733 JU,19582,BEG,1739,SJJ,1646,,0,AT7 JU,19582,BEG,1739,SKG,1486,,0,319 JU,19582,BEG,1739,SKP,1737,,0,319 320 JU,19582,BEG,1739,SOF,1194,,0,AT7 JU,19582,BEG,1739,STR,350,,0,319 JU,19582,BEG,1739,SVO,2985,,0,320 319 JU,19582,BEG,1739,TGD,1741,,0,AT7 319 JU,19582,BEG,1739,TIV,1743,,0,AT7 JU,19582,BEG,1739,TLV,1590,,0,319 JU,19582,BEG,1739,TXL,351,,0,319 JU,19582,BEG,1739,VAR,1196,,0,AT7 JU,19582,BEG,1739,VIE,1613,,0,AT7 JU,19582,BEG,1739,WAW,679,,0,E75 E70 JU,19582,BEG,1739,ZRH,1678,,0,319 JU,19582,BNX,5794,BEG,1739,,0,AT7 JU,19582,BRU,302,BEG,1739,,0,319 JU,19582,BSA,5686,BBO,1122,,0,AN4 JU,19582,BSA,5686,GLK,5688,,0,AN4 JU,19582,BUD,1489,BEG,1739,,0,AT7 JU,19582,CDG,1382,BEG,1739,,0,320 JU,19582,CPH,609,BEG,1739,,0,319 JU,19582,DUS,345,BEG,1739,,0,319 JU,19582,DXB,2188,BBO,1122,,0,737 JU,19582,FCO,1555,BEG,1739,,0,319 733 JU,19582,FRA,340,BEG,1739,,0,319 JU,19582,GLK,5688,BSA,5686,,0,AN4 JU,19582,HGA,1121,MGQ,5687,,0,737 JU,19582,JIB,4119,DXB,2188,,0,737 JU,19582,JIB,4119,HGA,1121,,0,737 JU,19582,JIB,4119,MGQ,5687,,0,737 JU,19582,LCA,1197,BEG,1739,,0,319 JU,19582,LHR,507,BEG,1739,,0,319 733 JU,19582,LJU,1569,BEG,1739,,0,AT7 JU,19582,MGQ,5687,BBO,1122,,0,737 JU,19582,MXP,1524,BEG,1739,,0,733 JU,19582,OTP,1657,BEG,1739,,0,319 JU,19582,PRG,1587,BEG,1739,,0,AT7 JU,19582,SAW,4317,BEG,1739,,0,733 JU,19582,SJJ,1646,BEG,1739,,0,AT7 JU,19582,SKG,1486,BEG,1739,,0,319 JU,19582,SKP,1737,BEG,1739,,0,319 320 JU,19582,SOF,1194,BEG,1739,,0,AT7 JU,19582,STR,350,BEG,1739,,0,319 JU,19582,SVO,2985,BEG,1739,,0,319 320 JU,19582,TGD,1741,BEG,1739,,0,AT7 319 JU,19582,TIV,1743,BEG,1739,,0,AT7 JU,19582,TLV,1590,BEG,1739,,0,319 JU,19582,TXL,351,BEG,1739,,0,319 JU,19582,VAR,1196,BEG,1739,,0,AT7 JU,19582,VIE,1613,BEG,1739,,0,AT7 JU,19582,WAW,679,BEG,1739,,0,E75 E70 JU,19582,ZRH,1678,BEG,1739,,0,319 JV,1434,YAG,5479,YQK,115,,0,SWM JV,1434,YAG,5479,YQT,121,,0,SWM JV,1434,YAM,21,YQT,121,,0,SWM JV,1434,YAM,21,YSB,133,,0,SWM JV,1434,YFO,58,YQD,5524,,0,SWM JV,1434,YHD,67,YQK,115,,0,SWM JV,1434,YHD,67,YQT,121,,0,SWM JV,1434,YHD,67,YRL,5527,,0,SWM JV,1434,YHD,67,YXL,169,,0,SWM JV,1434,YQD,5524,YFO,58,,0,SWM JV,1434,YQD,5524,YWG,160,,0,SWM JV,1434,YQK,115,YAG,5479,,0,SWM JV,1434,YQK,115,YHD,67,,0,SWM JV,1434,YQK,115,YWG,160,,0,SWM JV,1434,YQT,121,YAG,5479,,0,SWM JV,1434,YQT,121,YAM,21,,0,SWM JV,1434,YQT,121,YTS,143,,0,SWM JV,1434,YQT,121,YWG,160,,0,SWM JV,1434,YQT,121,YXL,169,,0,SWM JV,1434,YRL,5527,YHD,67,,0,SWM JV,1434,YRL,5527,YWG,160,,0,SWM JV,1434,YRL,5527,YXL,169,,0,SWM JV,1434,YSB,133,YAM,21,,0,SWM JV,1434,YSB,133,YQT,121,,0,SWM JV,1434,YSB,133,YTS,143,,0,SWM JV,1434,YSB,133,YYB,177,,0,SWM JV,1434,YTS,143,YSB,133,,0,SWM JV,1434,YTS,143,YYU,190,,0,SWM JV,1434,YWG,160,YFO,58,,0,SWM JV,1434,YWG,160,YQD,5524,,0,SWM JV,1434,YWG,160,YQK,115,,0,SWM JV,1434,YWG,160,YRL,5527,,0,SWM JV,1434,YXL,169,YAG,5479,,0,SWM JV,1434,YXL,169,YHD,67,,0,SWM JV,1434,YXL,169,YQT,121,,0,SWM JV,1434,YXL,169,YRL,5527,,0,SWM JV,1434,YYB,177,YSB,133,,0,SWM JV,1434,YYU,190,YQT,121,,0,SWM JV,1434,YYU,190,YTS,143,,0,SWM JW,397,CTS,2287,NRT,2279,,0,320 JW,397,ICN,3930,NRT,2279,,0,320 JW,397,NRT,2279,CTS,2287,,0,320 JW,397,NRT,2279,ICN,3930,,0,320 JW,397,NRT,2279,OKA,2384,,0,320 JW,397,NRT,2279,TPE,2276,,0,320 JW,397,OKA,2384,NRT,2279,,0,320 JW,397,TPE,2276,NRT,2279,,0,320 JY,14849,AZS,5810,SJU,2890,,0,EM2 JY,14849,CAP,1895,PLS,1754,,0,BE9 JY,14849,GDT,5807,PLS,1754,,0,EM2 BE9 JY,14849,GDT,5807,XSC,1755,,0,BE9 JY,14849,KIN,1779,PLS,1754,,0,EM2 JY,14849,KIN,1779,SDQ,1762,,0,EM2 JY,14849,NAS,1953,PLS,1754,,0,EM2 JY,14849,PAP,1897,PLS,1754,,0,EM2 JY,14849,PLS,1754,CAP,1895,,0,BE9 JY,14849,PLS,1754,GDT,5807,,0,EM2 BE9 JY,14849,PLS,1754,KIN,1779,,0,EM2 JY,14849,PLS,1754,NAS,1953,,0,EM2 JY,14849,PLS,1754,PAP,1897,,0,EM2 JY,14849,PLS,1754,POP,1761,,0,EM2 JY,14849,PLS,1754,SDQ,1762,,0,EM2 JY,14849,PLS,1754,SJU,2890,,0,EM2 JY,14849,PLS,1754,STI,1764,,0,EM2 JY,14849,PLS,1754,XSC,1755,,0,BE9 JY,14849,POP,1761,PLS,1754,,0,EM2 JY,14849,POP,1761,SJU,2890,,0,EM2 JY,14849,SDQ,1762,KIN,1779,,0,EM2 JY,14849,SDQ,1762,PLS,1754,,0,EM2 JY,14849,SJU,2890,AZS,5810,,0,EM2 JY,14849,SJU,2890,PLS,1754,,0,EM2 JY,14849,SJU,2890,POP,1761,,0,EM2 JY,14849,STI,1764,PLS,1754,,0,EM2 JY,14849,XSC,1755,GDT,5807,,0,BE9 JY,14849,XSC,1755,PLS,1754,,0,BE9 K2,2245,AMS,580,GDN,668,,0,DH4 K2,2245,AMS,580,KRK,669,,0,DH4 K2,2245,BRU,302,GDN,668,,0,DH4 K2,2245,BRU,302,WRO,680,,0,DH4 K2,2245,BVA,1367,RZE,675,,0,DH4 K2,2245,CDG,1382,WRO,680,,0,DH4 K2,2245,DBV,1200,WAW,679,,0,DH4 K2,2245,FCO,1555,RZE,675,,0,DH4 K2,2245,GDN,668,AMS,580,,0,DH4 K2,2245,GDN,668,BRU,302,,0,DH4 K2,2245,GDN,668,HEL,421,,0,DH4 K2,2245,GDN,668,KRK,669,,0,DH4 K2,2245,GDN,668,LUZ,8832,,0,DH4 K2,2245,GDN,668,WRO,680,,0,DH4 K2,2245,GDN,668,ZRH,1678,,0,DH4 K2,2245,HEL,421,GDN,668,,0,DH4 K2,2245,KRK,669,AMS,580,,0,DH4 K2,2245,KRK,669,GDN,668,,0,DH4 K2,2245,KRK,669,ZRH,1678,,0,DH4 K2,2245,LUZ,8832,GDN,668,,0,DH4 K2,2245,LUZ,8832,MXP,1524,,0,DH4 K2,2245,MXP,1524,LUZ,8832,,0,DH4 K2,2245,RZE,675,BVA,1367,,0,DH4 K2,2245,RZE,675,FCO,1555,,0,DH4 K2,2245,SPU,1206,WAW,679,,0,DH4 K2,2245,WAW,679,DBV,1200,,0,DH4 K2,2245,WAW,679,SPU,1206,,0,DH4 K2,2245,WAW,679,ZAD,1209,,0,DH4 K2,2245,WRO,680,BRU,302,,0,DH4 K2,2245,WRO,680,CDG,1382,,0,DH4 K2,2245,WRO,680,GDN,668,,0,DH4 K2,2245,WRO,680,ZRH,1678,,0,DH4 K2,2245,ZAD,1209,WAW,679,,0,DH4 K2,2245,ZRH,1678,GDN,668,,0,DH4 K2,2245,ZRH,1678,KRK,669,,0,DH4 K2,2245,ZRH,1678,WRO,680,,0,DH4 K3,20963,CGA,7144,KLW,7205,,0,DHP K3,20963,EDA,\N,KTN,3808,,0,DHP K3,20963,HYG,7148,KTN,3808,,0,DHP K3,20963,KCC,7237,EDA,\N,,0,DHP K3,20963,KCC,7237,WWP,7152,,0,DHP K3,20963,KLW,7205,KTN,3808,,0,DHP K3,20963,KPB,7150,PPV,7151,,0,DHP K3,20963,KTB,7147,CGA,7144,,0,DHP K3,20963,KTN,3808,HYG,7148,,0,DHP K3,20963,KTN,3808,KCC,7237,,0,DHP K3,20963,KTN,3808,KPB,7150,,0,DHP K3,20963,KTN,3808,KTB,7147,,0,DHP K3,20963,KTN,3808,MTM,7146,,0,DHP K3,20963,MTM,7146,KTN,3808,,0,DHP K3,20963,NKI,\N,EDA,\N,,0,DHP K3,20963,PPV,7151,KTN,3808,,0,DHP K3,20963,WWP,7152,NKI,\N,,0,DHP K5,10765,AHN,5716,BNA,3690,,0,CNC K5,10765,BNA,3690,AHN,5716,,0,CNC K5,10765,BNA,3690,MKL,3704,,0,CNC K5,10765,BUR,3644,IPL,3689,,0,CNC K5,10765,DAL,3502,ELD,3696,,0,CNC K5,10765,ELD,3696,DAL,3502,,0,CNC K5,10765,ELD,3696,HOT,5741,,0,CNC K5,10765,GST,5960,HNH,7142,,0,CNC K5,10765,GST,5960,JNU,3492,,0,CN1 CNC K5,10765,HNH,7142,GST,5960,,0,CNC K5,10765,HNH,7142,JNU,3492,,0,CNC CN1 K5,10765,HNS,5963,JNU,3492,,0,CNC CN1 K5,10765,HNS,5963,SGY,5961,,0,CNC K5,10765,HOT,5741,ELD,3696,,0,CNC K5,10765,HOT,5741,MEM,3473,,0,CNC K5,10765,HRO,3461,MCI,3458,,0,CNC K5,10765,HRO,3461,MEM,3473,,0,CNC K5,10765,IPL,3689,BUR,3644,,0,CNC K5,10765,IPL,3689,SAN,3731,,0,CNC K5,10765,JNU,3492,GST,5960,,0,CNC CN1 K5,10765,JNU,3492,HNH,7142,,0,CNC CN1 K5,10765,JNU,3492,HNS,5963,,0,CN1 CNC K5,10765,JNU,3492,SGY,5961,,0,CNC CN1 K5,10765,MCI,3458,HRO,3461,,0,CNC K5,10765,MCI,3458,SLN,5771,,0,CNC K5,10765,MEM,3473,ELD,3696,,0,CNC K5,10765,MEM,3473,HOT,5741,,0,CNC K5,10765,MEM,3473,HRO,3461,,0,CNC K5,10765,MEM,3473,MKL,3704,,0,CNC K5,10765,MKL,3704,BNA,3690,,0,CNC K5,10765,MKL,3704,MEM,3473,,0,CNC K5,10765,OTH,5757,PDX,3720,,0,CNC K5,10765,PDT,6883,PDX,3720,,0,CNC K5,10765,PDX,3720,OTH,5757,,0,CNC K5,10765,PDX,3720,PDT,6883,,0,CNC K5,10765,SAN,3731,IPL,3689,,0,CNC K5,10765,SGY,5961,HNS,5963,,0,CNC K5,10765,SGY,5961,JNU,3492,,0,CNC CN1 K5,10765,SLN,5771,MCI,3458,,0,CNC K6,13899,BKK,3885,PNH,3034,,0,321 K6,13899,BKK,3885,REP,3035,,0,AT7 K6,13899,CAN,3370,REP,3035,,0,321 K6,13899,HAN,3199,PNH,3034,,0,321 K6,13899,HAN,3199,REP,3035,,0,321 K6,13899,KOS,4093,REP,3035,,0,AT7 K6,13899,PNH,3034,BKK,3885,,0,321 K6,13899,PNH,3034,HAN,3199,,0,321 K6,13899,PNH,3034,PVG,3406,,0,321 K6,13899,PNH,3034,REP,3035,,0,AT7 321 K6,13899,PNH,3034,SGN,3205,,0,AT7 K6,13899,PVG,3406,PNH,3034,,0,321 K6,13899,PVG,3406,REP,3035,,0,321 K6,13899,REP,3035,BKK,3885,,0,AT7 K6,13899,REP,3035,CAN,3370,,0,321 K6,13899,REP,3035,HAN,3199,,0,321 K6,13899,REP,3035,KOS,4093,,0,AT7 K6,13899,REP,3035,PNH,3034,,0,AT7 321 K6,13899,REP,3035,PVG,3406,,0,321 K6,13899,REP,3035,SGN,3205,,0,321 AT7 K6,13899,SGN,3205,PNH,3034,,0,AT7 K6,13899,SGN,3205,REP,3035,,0,321 AT7 K8,11808,CNX,3931,HGN,4086,,0,CNC K8,11808,CNX,3931,NNT,4131,,0,CNC K8,11808,CNX,3931,PHS,3170,,0,CNC K8,11808,CNX,3931,PYY,4159,,0,CNC K8,11808,HGN,4086,CNX,3931,,0,CNC K8,11808,NNT,4131,CNX,3931,,0,CNC K8,11808,PHS,3170,CNX,3931,,0,CNC K8,11808,PYY,4159,CNX,3931,,0,CNC KA,2056,BKI,3269,HKG,3077,,0,321 320 KA,2056,BLR,3131,HKG,3077,,0,333 KA,2056,BWN,3272,HKG,3077,Y,0,320 KA,2056,CAN,3370,HKG,3077,,0,333 321 320 KA,2056,CCU,3043,HKG,3077,,0,320 KA,2056,CGO,3375,HKG,3077,,0,320 KA,2056,CJU,2370,HKG,3077,,0,320 KA,2056,CKG,3393,HKG,3077,,0,320 738 321 KA,2056,CNX,3931,HKG,3077,,0,320 KA,2056,CRK,4140,HKG,3077,,0,320 KA,2056,CSX,3371,HKG,3077,,0,320 321 KA,2056,CTU,3395,HKG,3077,,0,320 333 321 KA,2056,DAC,3076,HKG,3077,,0,333 KA,2056,DAC,3076,KTM,3125,,0,333 KA,2056,DAD,3196,HKG,3077,,0,320 KA,2056,DLC,3404,HKG,3077,Y,0,738 KA,2056,DPS,3940,HKG,3077,,0,333 KA,2056,FOC,3385,HKG,3077,,0,333 KA,2056,FUK,2305,HKG,3077,,0,321 333 KA,2056,HAK,4120,HKG,3077,,0,320 321 KA,2056,HAN,3199,HKG,3077,,0,320 321 KA,2056,HGH,3386,HKG,3077,,0,333 321 320 KA,2056,HKG,3077,BKI,3269,,0,321 320 KA,2056,HKG,3077,BLR,3131,,0,333 KA,2056,HKG,3077,BWN,3272,Y,0,320 KA,2056,HKG,3077,CAN,3370,,0,333 321 320 KA,2056,HKG,3077,CCU,3043,,0,320 KA,2056,HKG,3077,CGO,3375,,0,320 KA,2056,HKG,3077,CJU,2370,,0,320 KA,2056,HKG,3077,CKG,3393,,0,320 738 321 KA,2056,HKG,3077,CNX,3931,,0,320 KA,2056,HKG,3077,CRK,4140,,0,320 KA,2056,HKG,3077,CSX,3371,,0,320 321 KA,2056,HKG,3077,CTU,3395,,0,320 333 321 KA,2056,HKG,3077,DAC,3076,,0,333 KA,2056,HKG,3077,DAD,3196,,0,320 KA,2056,HKG,3077,DLC,3404,Y,0,738 KA,2056,HKG,3077,DPS,3940,,0,333 KA,2056,HKG,3077,FOC,3385,,0,333 KA,2056,HKG,3077,FUK,2305,,0,321 333 KA,2056,HKG,3077,HAK,4120,,0,320 321 KA,2056,HKG,3077,HAN,3199,,0,320 321 KA,2056,HKG,3077,HGH,3386,,0,321 333 320 KA,2056,HKG,3077,HKT,3179,,0,320 321 KA,2056,HKG,3077,KHH,2264,,0,320 333 321 KA,2056,HKG,3077,KMG,3382,,0,333 320 321 KA,2056,HKG,3077,KWL,3372,,0,320 321 KA,2056,HKG,3077,MLE,3156,,0,333 KA,2056,HKG,3077,MNL,2397,,0,320 KA,2056,HKG,3077,NGB,3387,,0,320 321 KA,2056,HKG,3077,NKG,3388,,0,333 321 320 KA,2056,HKG,3077,OKA,2384,,0,333 KA,2056,HKG,3077,PEK,3364,,0,333 321 320 KA,2056,HKG,3077,PEN,3308,,0,333 KA,2056,HKG,3077,PNH,3034,,0,320 333 KA,2056,HKG,3077,PUS,2372,,0,321 320 KA,2056,HKG,3077,PVG,3406,,0,333 321 320 KA,2056,HKG,3077,REP,3035,,0,320 KA,2056,HKG,3077,RGN,3239,,0,321 KA,2056,HKG,3077,RMQ,2268,,0,320 321 KA,2056,HKG,3077,SHA,3391,,0,333 KA,2056,HKG,3077,SYX,4030,,0,320 321 KA,2056,HKG,3077,TAO,3390,,0,333 320 KA,2056,HKG,3077,TPE,2276,,0,333 320 321 KA,2056,HKG,3077,TSN,3368,,0,738 KA,2056,HKG,3077,WNZ,6392,,0,321 320 KA,2056,HKG,3077,WUH,3376,,0,321 320 KA,2056,HKG,3077,XIY,3379,,0,320 321 KA,2056,HKG,3077,XMN,3383,,0,333 321 320 KA,2056,HKT,3179,HKG,3077,,0,320 321 KA,2056,KHH,2264,HKG,3077,,0,333 320 321 KA,2056,KMG,3382,HKG,3077,,0,333 320 321 KA,2056,KTM,3125,DAC,3076,,0,333 KA,2056,KWL,3372,HKG,3077,,0,320 321 KA,2056,MLE,3156,HKG,3077,,0,333 KA,2056,MNL,2397,HKG,3077,,0,320 KA,2056,NGB,3387,HKG,3077,,0,321 320 KA,2056,NKG,3388,HKG,3077,,0,320 333 321 KA,2056,OKA,2384,HKG,3077,,0,333 KA,2056,PEK,3364,HKG,3077,,0,320 333 321 KA,2056,PEN,3308,HKG,3077,,0,333 KA,2056,PNH,3034,HKG,3077,,0,320 333 KA,2056,PUS,2372,HKG,3077,,0,321 320 KA,2056,PVG,3406,HKG,3077,,0,320 321 333 KA,2056,REP,3035,HKG,3077,,0,320 KA,2056,RGN,3239,HKG,3077,,0,321 KA,2056,RMQ,2268,HKG,3077,,0,320 321 KA,2056,SHA,3391,HKG,3077,,0,333 KA,2056,SYX,4030,HKG,3077,,0,320 321 KA,2056,TAO,3390,HKG,3077,,0,333 320 KA,2056,TPE,2276,HKG,3077,,0,333 320 321 KA,2056,TSN,3368,HKG,3077,,0,738 KA,2056,WNZ,6392,HKG,3077,,0,321 320 KA,2056,WUH,3376,HKG,3077,,0,321 320 KA,2056,XIY,3379,HKG,3077,,0,320 321 KA,2056,XMN,3383,HKG,3077,,0,320 333 321 KB,2058,BKK,3885,DAC,3076,,0,319 KB,2058,BKK,3885,GAU,6173,,0,319 KB,2058,BKK,3885,IXB,3040,,0,319 KB,2058,CCU,3043,PBH,3155,,0,ATR 319 KB,2058,CCU,3043,SIN,3316,,0,319 KB,2058,DAC,3076,BKK,3885,,0,319 KB,2058,DAC,3076,PBH,3155,,0,319 KB,2058,DEL,3093,KTM,3125,,0,319 KB,2058,GAU,6173,BKK,3885,,0,319 KB,2058,GAU,6173,PBH,3155,,0,319 KB,2058,IXB,3040,BKK,3885,,0,319 KB,2058,IXB,3040,PBH,3155,,0,319 KB,2058,KTM,3125,DEL,3093,,0,319 KB,2058,KTM,3125,PBH,3155,,0,319 ATR KB,2058,PBH,3155,CCU,3043,,0,ATR 319 KB,2058,PBH,3155,DAC,3076,,0,319 KB,2058,PBH,3155,GAU,6173,,0,319 KB,2058,PBH,3155,IXB,3040,,0,319 KB,2058,PBH,3155,KTM,3125,,0,319 ATR KB,2058,SIN,3316,CCU,3043,,0,319 KC,1006,AKX,2920,ALA,2908,,0,757 320 767 321 KC,1006,AKX,2920,TSE,2910,,0,E90 320 KC,1006,ALA,2908,AKX,2920,,0,757 320 767 321 KC,1006,ALA,2908,AUH,2179,,0,320 321 KC,1006,ALA,2908,BKK,3885,,0,767 757 KC,1006,ALA,2908,CIT,2914,,0,320 E90 757 319 KC,1006,ALA,2908,DEL,3093,,0,E90 320 KC,1006,ALA,2908,DYU,2979,,0,320 757 KC,1006,ALA,2908,FRU,2912,,0,319 757 E90 KC,1006,ALA,2908,GUW,4357,,0,321 757 320 KC,1006,ALA,2908,GYD,2922,,0,E90 KC,1006,ALA,2908,HKG,3077,,0,757 KC,1006,ALA,2908,ICN,3930,,0,767 KC,1006,ALA,2908,IST,1701,,0,738 320 KC,1006,ALA,2908,KBP,2939,,0,320 KC,1006,ALA,2908,KGF,4375,,0,E90 319 KC,1006,ALA,2908,KUF,2993,,0,E90 KC,1006,ALA,2908,KUL,3304,,0,757 KC,1006,ALA,2908,KZN,2990,,0,E90 KC,1006,ALA,2908,KZO,4358,,0,320 E90 319 KC,1006,ALA,2908,LED,2948,,0,320 KC,1006,ALA,2908,LHR,507,,0,757 KC,1006,ALA,2908,PEK,3364,,0,320 KC,1006,ALA,2908,PWQ,2917,,0,E90 KC,1006,ALA,2908,SCO,4367,,0,757 321 320 KC,1006,ALA,2908,SGN,3205,,0,757 KC,1006,ALA,2908,SVO,2985,,0,320 321 KC,1006,ALA,2908,TAS,2983,,0,320 319 E90 757 KC,1006,ALA,2908,TBS,3973,,0,E90 KC,1006,ALA,2908,TSE,2910,,0,757 321 320 767 319 E90 KC,1006,ALA,2908,UKK,6086,,0,320 E90 757 319 KC,1006,ALA,2908,URC,3399,,0,320 E90 321 KC,1006,AMS,580,GUW,4357,,0,321 KC,1006,AUH,2179,ALA,2908,,0,320 321 KC,1006,AUH,2179,TSE,2910,,0,320 321 KC,1006,BKK,3885,ALA,2908,,0,767 757 KC,1006,CIT,2914,ALA,2908,,0,320 E90 757 319 KC,1006,CIT,2914,TSE,2910,,0,E90 KC,1006,DEL,3093,ALA,2908,,0,E90 320 KC,1006,DYU,2979,ALA,2908,,0,320 757 KC,1006,DZN,6085,TSE,2910,,0,E90 KC,1006,FRA,340,TSE,2910,,0,321 757 KC,1006,FRU,2912,ALA,2908,,0,319 757 E90 KC,1006,FRU,2912,TSE,2910,,0,E90 KC,1006,GUW,4357,ALA,2908,,0,321 757 320 KC,1006,GUW,4357,AMS,580,,0,321 KC,1006,GUW,4357,IST,1701,,0,320 KC,1006,GUW,4357,SCO,4367,,0,320 KC,1006,GUW,4357,TSE,2910,,0,320 KC,1006,GYD,2922,ALA,2908,,0,E90 KC,1006,GYD,2922,TSE,2910,,0,E90 KC,1006,HKG,3077,ALA,2908,,0,757 KC,1006,ICN,3930,ALA,2908,,0,767 KC,1006,IST,1701,ALA,2908,,0,738 320 KC,1006,IST,1701,GUW,4357,,0,320 KC,1006,IST,1701,SCO,4367,,0,320 KC,1006,IST,1701,TSE,2910,,0,320 KC,1006,KBP,2939,ALA,2908,,0,320 KC,1006,KBP,2939,TSE,2910,,0,E90 KC,1006,KGF,4375,ALA,2908,,0,E90 319 KC,1006,KSN,6088,TSE,2910,,0,E90 KC,1006,KUF,2993,ALA,2908,,0,E90 KC,1006,KUL,3304,ALA,2908,,0,757 KC,1006,KZN,2990,ALA,2908,,0,E90 KC,1006,KZO,4358,ALA,2908,,0,320 E90 319 KC,1006,KZO,4358,TSE,2910,,0,E90 321 320 KC,1006,LED,2948,ALA,2908,,0,320 KC,1006,LED,2948,TSE,2910,,0,E90 KC,1006,LHR,507,ALA,2908,,0,757 KC,1006,LHR,507,TSE,2910,,0,757 KC,1006,OMS,2958,TSE,2910,,0,E90 KC,1006,OVB,4078,TSE,2910,,0,E90 KC,1006,PEK,3364,ALA,2908,,0,320 KC,1006,PEK,3364,TSE,2910,,0,320 KC,1006,PWQ,2917,ALA,2908,,0,E90 KC,1006,PWQ,2917,TSE,2910,,0,E90 KC,1006,SCO,4367,ALA,2908,,0,757 321 320 KC,1006,SCO,4367,GUW,4357,,0,320 KC,1006,SCO,4367,IST,1701,,0,320 KC,1006,SCO,4367,TSE,2910,,0,E90 KC,1006,SGN,3205,ALA,2908,,0,757 KC,1006,SVO,2985,ALA,2908,,0,320 321 KC,1006,SVO,2985,TSE,2910,,0,320 KC,1006,SVX,2975,TSE,2910,,0,E90 KC,1006,TAS,2983,ALA,2908,,0,320 319 E90 757 KC,1006,TAS,2983,TSE,2910,,0,E90 KC,1006,TBS,3973,ALA,2908,,0,E90 KC,1006,TSE,2910,AKX,2920,,0,E90 320 KC,1006,TSE,2910,ALA,2908,,0,319 321 757 320 767 E90 KC,1006,TSE,2910,AUH,2179,,0,321 320 KC,1006,TSE,2910,CIT,2914,,0,E90 KC,1006,TSE,2910,DZN,6085,,0,E90 KC,1006,TSE,2910,FRA,340,,0,321 757 KC,1006,TSE,2910,FRU,2912,,0,E90 KC,1006,TSE,2910,GUW,4357,,0,320 KC,1006,TSE,2910,GYD,2922,,0,E90 KC,1006,TSE,2910,IST,1701,,0,320 KC,1006,TSE,2910,KBP,2939,,0,E90 KC,1006,TSE,2910,KSN,6088,,0,E90 KC,1006,TSE,2910,KZO,4358,,0,E90 321 320 KC,1006,TSE,2910,LED,2948,,0,E90 KC,1006,TSE,2910,LHR,507,,0,757 KC,1006,TSE,2910,OMS,2958,,0,E90 KC,1006,TSE,2910,OVB,4078,,0,E90 KC,1006,TSE,2910,PEK,3364,,0,320 KC,1006,TSE,2910,PWQ,2917,,0,E90 KC,1006,TSE,2910,SCO,4367,,0,E90 KC,1006,TSE,2910,SVO,2985,,0,320 KC,1006,TSE,2910,SVX,2975,,0,E90 KC,1006,TSE,2910,TAS,2983,,0,E90 KC,1006,TSE,2910,UKK,6086,,0,E90 320 KC,1006,TSE,2910,URC,3399,,0,E90 KC,1006,TSE,2910,VIE,1613,Y,0,320 KC,1006,UKK,6086,ALA,2908,,0,320 E90 757 319 KC,1006,UKK,6086,TSE,2910,,0,E90 320 KC,1006,URC,3399,ALA,2908,,0,320 E90 321 KC,1006,URC,3399,TSE,2910,,0,E90 KC,1006,VIE,1613,TSE,2910,Y,0,320 KE,3163,AKL,2006,ICN,3930,,0,772 KE,3163,AMS,580,ICN,3930,,0,332 KE,3163,AOJ,2340,ICN,3930,,0,73H KE,3163,ATL,3682,GIG,2560,Y,0,764 KE,3163,ATL,3682,ICN,3930,,0,77W KE,3163,ATL,3682,JFK,3797,,0,74N KE,3163,ATL,3682,SCL,2650,Y,0,76W KE,3163,AUH,2179,ICN,3930,,0,345 346 KE,3163,AXT,2345,ICN,3930,,0,73H 739 KE,3163,BKI,3269,ICN,3930,,0,73J KE,3163,BKK,3885,ICN,3930,,0,333 773 744 772 332 KE,3163,BKK,3885,PUS,2372,,0,333 KE,3163,BNE,3320,ICN,3930,,0,333 KE,3163,BOM,2997,ICN,3930,,0,332 KE,3163,CAN,3370,ICN,3930,,0,333 KE,3163,CDG,1382,ICN,3930,,0,388 KE,3163,CEB,4206,ICN,3930,,0,744 KE,3163,CEB,4206,PUS,2372,,0,73H KE,3163,CGK,3275,ICN,3930,,0,332 77W KE,3163,CGO,3375,ICN,3930,,0,73J 73H KE,3163,CJJ,6008,CJU,2370,,0,739 KE,3163,CJJ,6008,HGH,3386,,0,739 KE,3163,CJU,2370,CJJ,6008,,0,739 KE,3163,CJU,2370,GMP,2378,,0,739 744 772 73H KE,3163,CJU,2370,HIN,6007,,0,739 KE,3163,CJU,2370,ICN,3930,,0,739 KE,3163,CJU,2370,KIX,3992,,0,739 KE,3163,CJU,2370,KUV,6003,,0,739 KE,3163,CJU,2370,KWJ,2361,,0,739 73H KE,3163,CJU,2370,NGO,3942,,0,73H KE,3163,CJU,2370,NRT,2279,,0,739 KE,3163,CJU,2370,PEK,3364,,0,333 KE,3163,CJU,2370,PUS,2372,,0,739 333 73H KE,3163,CJU,2370,RSU,2365,,0,73H KE,3163,CJU,2370,TAE,2381,,0,739 73H KE,3163,CJU,2370,USN,2374,,0,73H KE,3163,CJU,2370,WJU,6005,,0,739 KE,3163,CMB,3024,ICN,3930,,0,333 KE,3163,CMB,3024,MLE,3156,,0,333 KE,3163,CNX,3931,ICN,3930,,0,772 KE,3163,CSX,3371,ICN,3930,,0,333 332 KE,3163,CTS,2287,ICN,3930,,0,73H 744 333 772 KE,3163,CTS,2287,PUS,2372,,0,73H KE,3163,DAD,3196,ICN,3930,,0,321 73J KE,3163,DFW,3670,ICN,3930,,0,772 KE,3163,DLC,3404,ICN,3930,,0,319 772 73H KE,3163,DPS,3940,ICN,3930,,0,333 KE,3163,DXB,2188,ICN,3930,,0,332 KE,3163,FCO,1555,ICN,3930,,0,744 KE,3163,FRA,340,ICN,3930,,0,744 KE,3163,FUK,2305,ICN,3930,,0,333 739 77W 73J KE,3163,FUK,2305,PUS,2372,,0,739 KE,3163,GIG,2560,ATL,3682,Y,0,764 KE,3163,GMP,2378,CJU,2370,,0,739 744 772 73H KE,3163,GMP,2378,HIN,6007,,0,73H KE,3163,GMP,2378,HND,2359,,0,773 772 KE,3163,GMP,2378,KIX,3992,,0,772 KE,3163,GMP,2378,KPO,2380,,0,73H KE,3163,GMP,2378,KWJ,2361,,0,73H KE,3163,GMP,2378,PEK,3364,,0,772 744 KE,3163,GMP,2378,PUS,2372,,0,73H 739 73J KE,3163,GMP,2378,RSU,2365,,0,73H KE,3163,GMP,2378,SHA,3391,,0,772 KE,3163,GMP,2378,USN,2374,,0,73H KE,3163,GRU,2564,LAX,3484,,0,77W KE,3163,GUM,2246,ICN,3930,,0,744 KE,3163,GUM,2246,KIX,3992,,0,772 739 KE,3163,GUM,2246,PUS,2372,,0,73H KE,3163,HAN,3199,ICN,3930,,0,73J 332 333 KE,3163,HAN,3199,PUS,2372,,0,321 KE,3163,HGH,3386,CJJ,6008,,0,739 KE,3163,HIN,6007,CJU,2370,,0,739 KE,3163,HIN,6007,GMP,2378,,0,73H KE,3163,HKG,3077,ICN,3930,,0,388 333 744 332 73J 77W KE,3163,HKG,3077,PUS,2372,,0,739 KE,3163,HKT,3179,ICN,3930,,0,333 KE,3163,HND,2359,GMP,2378,,0,772 773 KE,3163,HND,2359,ICN,3930,,0,73H KE,3163,HNL,3728,ICN,3930,,0,333 744 KE,3163,HNL,3728,NRT,2279,,0,333 KE,3163,IAD,3714,ICN,3930,,0,77W 772 KE,3163,IAH,3550,ICN,3930,,0,772 77W KE,3163,ICN,3930,AKL,2006,,0,772 KE,3163,ICN,3930,AMS,580,,0,332 KE,3163,ICN,3930,AOJ,2340,,0,73H KE,3163,ICN,3930,ATL,3682,,0,77W KE,3163,ICN,3930,AUH,2179,,0,345 346 KE,3163,ICN,3930,AXT,2345,,0,73H 739 KE,3163,ICN,3930,BKI,3269,,0,73J KE,3163,ICN,3930,BKK,3885,,0,744 773 333 772 332 KE,3163,ICN,3930,BNE,3320,,0,333 KE,3163,ICN,3930,BOM,2997,,0,332 KE,3163,ICN,3930,CAN,3370,,0,333 KE,3163,ICN,3930,CDG,1382,,0,388 KE,3163,ICN,3930,CEB,4206,,0,744 KE,3163,ICN,3930,CGK,3275,,0,77W 332 KE,3163,ICN,3930,CGO,3375,,0,73J 73H KE,3163,ICN,3930,CJU,2370,,0,739 KE,3163,ICN,3930,CMB,3024,,0,333 KE,3163,ICN,3930,CNX,3931,,0,772 KE,3163,ICN,3930,CSX,3371,,0,333 332 KE,3163,ICN,3930,CTS,2287,,0,744 73H 333 772 KE,3163,ICN,3930,DAD,3196,,0,321 73J KE,3163,ICN,3930,DFW,3670,,0,772 KE,3163,ICN,3930,DLC,3404,,0,772 319 73H KE,3163,ICN,3930,DPS,3940,,0,333 KE,3163,ICN,3930,DXB,2188,,0,332 KE,3163,ICN,3930,FRA,340,,0,744 KE,3163,ICN,3930,FUK,2305,,0,333 739 77W 73J KE,3163,ICN,3930,GUM,2246,,0,744 KE,3163,ICN,3930,HAN,3199,,0,73J 332 333 KE,3163,ICN,3930,HKG,3077,,0,333 744 332 388 73J 77W KE,3163,ICN,3930,HKT,3179,,0,333 KE,3163,ICN,3930,HND,2359,,0,73H KE,3163,ICN,3930,HNL,3728,,0,333 744 KE,3163,ICN,3930,IAD,3714,,0,77W 772 KE,3163,ICN,3930,IAH,3550,,0,772 77W KE,3163,ICN,3930,IST,1701,,0,772 KE,3163,ICN,3930,JFK,3797,,0,388 77W KE,3163,ICN,3930,KIJ,4381,,0,73J KE,3163,ICN,3930,KIX,3992,,0,333 73H 772 739 77W 332 KE,3163,ICN,3930,KMG,3382,,0,73J KE,3163,ICN,3930,KMQ,2322,,0,73H KE,3163,ICN,3930,KOJ,2307,,0,73H 73J 739 KE,3163,ICN,3930,KTM,3125,,0,772 KE,3163,ICN,3930,KUL,3304,,0,772 77W KE,3163,ICN,3930,LAS,3877,,0,772 KE,3163,ICN,3930,LAX,3484,,0,388 77W KE,3163,ICN,3930,LED,2948,,0,772 KE,3163,ICN,3930,LHR,507,,0,77W KE,3163,ICN,3930,MAD,1229,,0,332 744 KE,3163,ICN,3930,MDG,3402,,0,73J KE,3163,ICN,3930,MNL,2397,,0,773 KE,3163,ICN,3930,MXP,1524,,0,744 KE,3163,ICN,3930,NAN,1960,,0,332 KE,3163,ICN,3930,NBO,4059,,0,332 KE,3163,ICN,3930,NGO,3942,,0,73H 332 333 772 KE,3163,ICN,3930,NRT,2279,,0,73H 77W 333 744 332 73J KE,3163,ICN,3930,OIT,2310,,0,73H 73J KE,3163,ICN,3930,OKJ,2327,,0,739 KE,3163,ICN,3930,ORD,3830,,0,772 77W KE,3163,ICN,3930,PEK,3364,,0,773 772 332 KE,3163,ICN,3930,PNH,3034,,0,73H 73J KE,3163,ICN,3930,PRG,1587,,0,333 744 KE,3163,ICN,3930,PVG,3406,,0,77W 333 772 KE,3163,ICN,3930,REP,3035,,0,73J 73H KE,3163,ICN,3930,RGN,3239,,0,73H KE,3163,ICN,3930,ROR,2256,,0,73H KE,3163,ICN,3930,RUH,2082,,0,332 KE,3163,ICN,3930,SEA,3577,,0,772 77W KE,3163,ICN,3930,SFO,3469,,0,77W 772 KE,3163,ICN,3930,SGN,3205,,0,73H 321 333 744 KE,3163,ICN,3930,SHE,4144,,0,773 332 73H 744 KE,3163,ICN,3930,SIN,3316,,0,773 77W KE,3163,ICN,3930,SVO,2985,,0,772 KE,3163,ICN,3930,SYD,3361,,0,333 KE,3163,ICN,3930,SZX,3374,,0,73J KE,3163,ICN,3930,TAE,2381,,0,73H 73J KE,3163,ICN,3930,TAO,3390,,0,73J 333 744 KE,3163,ICN,3930,TAS,2983,,0,332 KE,3163,ICN,3930,TLV,1590,,0,772 KE,3163,ICN,3930,TNA,4108,,0,73J 739 KE,3163,ICN,3930,TPE,2276,,0,333 73H KE,3163,ICN,3930,TSN,3368,,0,73H 739 KE,3163,ICN,3930,TXN,6387,,0,73H 73J KE,3163,ICN,3930,ULN,3380,,0,333 KE,3163,ICN,3930,VIE,1613,,0,77W KE,3163,ICN,3930,VVO,2934,,0,73J KE,3163,ICN,3930,WUH,3376,,0,73J KE,3163,ICN,3930,XIY,3379,,0,332 KE,3163,ICN,3930,XMN,3383,,0,73H 73J KE,3163,ICN,3930,YNJ,6414,,0,739 KE,3163,ICN,3930,YNT,3392,Y,0,320 KE,3163,ICN,3930,YVR,156,,0,772 KE,3163,ICN,3930,YYZ,193,,0,772 KE,3163,IST,1701,ICN,3930,,0,772 KE,3163,JED,2072,RUH,2082,,0,332 KE,3163,JFK,3797,ICN,3930,,0,77W 388 KE,3163,KIJ,4381,ICN,3930,,0,739 73J KE,3163,KIX,3992,CJU,2370,,0,739 KE,3163,KIX,3992,GMP,2378,,0,772 KE,3163,KIX,3992,GUM,2246,,0,772 739 KE,3163,KIX,3992,ICN,3930,,0,772 333 73H 739 77W 332 KE,3163,KIX,3992,PUS,2372,,0,73H KE,3163,KMG,3382,ICN,3930,,0,73J KE,3163,KMQ,2322,ICN,3930,,0,73H KE,3163,KOJ,2307,ICN,3930,,0,73H 73J 739 KE,3163,KPO,2380,GMP,2378,,0,73H KE,3163,KTM,3125,ICN,3930,,0,772 KE,3163,KUL,3304,ICN,3930,,0,772 77W KE,3163,KUV,6003,CJU,2370,,0,739 KE,3163,KWJ,2361,CJU,2370,,0,739 73H KE,3163,KWJ,2361,GMP,2378,,0,73H KE,3163,LAS,3877,ICN,3930,,0,772 KE,3163,LAX,3484,GRU,2564,,0,77W KE,3163,LAX,3484,ICN,3930,,0,388 77W KE,3163,LAX,3484,LIM,2789,Y,0,763 KE,3163,LED,2948,ICN,3930,,0,772 KE,3163,LHR,507,ICN,3930,,0,77W KE,3163,LIM,2789,LAX,3484,Y,0,763 KE,3163,LIM,2789,SCL,2650,Y,0,763 KE,3163,MAD,1229,ICN,3930,,0,332 744 KE,3163,MDG,3402,ICN,3930,,0,73J KE,3163,MEX,1824,TIJ,1847,Y,0,787 KE,3163,MLE,3156,CMB,3024,,0,333 KE,3163,MNL,2397,ICN,3930,,0,773 KE,3163,MXP,1524,FCO,1555,,0,744 KE,3163,NAN,1960,ICN,3930,,0,332 KE,3163,NBO,4059,ICN,3930,,0,332 KE,3163,NGO,3942,CJU,2370,,0,73H KE,3163,NGO,3942,ICN,3930,,0,772 73H 332 333 KE,3163,NGO,3942,PUS,2372,,0,739 KE,3163,NKG,3388,PUS,2372,,0,73H KE,3163,NRT,2279,CJU,2370,,0,739 KE,3163,NRT,2279,HNL,3728,,0,333 KE,3163,NRT,2279,ICN,3930,,0,332 73H 77W 333 744 73J KE,3163,NRT,2279,PUS,2372,,0,739 KE,3163,OIT,2310,ICN,3930,,0,73H 73J KE,3163,OKJ,2327,ICN,3930,,0,739 KE,3163,ORD,3830,ICN,3930,,0,772 77W KE,3163,PEK,3364,CJU,2370,,0,333 KE,3163,PEK,3364,GMP,2378,,0,772 744 KE,3163,PEK,3364,ICN,3930,,0,773 772 332 KE,3163,PEK,3364,PUS,2372,,0,333 KE,3163,PNH,3034,ICN,3930,,0,73H 73J KE,3163,PRG,1587,ARN,737,,0,319 KE,3163,PRG,1587,ICN,3930,,0,744 333 KE,3163,PUS,2372,BKK,3885,,0,333 KE,3163,PUS,2372,CEB,4206,,0,73H KE,3163,PUS,2372,CJU,2370,,0,739 333 73H KE,3163,PUS,2372,CTS,2287,,0,73H KE,3163,PUS,2372,FUK,2305,,0,739 KE,3163,PUS,2372,GMP,2378,,0,73H 739 KE,3163,PUS,2372,GUM,2246,,0,73H KE,3163,PUS,2372,HAN,3199,,0,321 KE,3163,PUS,2372,HKG,3077,,0,739 KE,3163,PUS,2372,KIX,3992,,0,73H KE,3163,PUS,2372,NGO,3942,,0,739 KE,3163,PUS,2372,NKG,3388,,0,73H KE,3163,PUS,2372,NRT,2279,,0,739 KE,3163,PUS,2372,PEK,3364,,0,333 KE,3163,PUS,2372,PVG,3406,,0,739 KE,3163,PUS,2372,REP,3035,,0,73H KE,3163,PUS,2372,SGN,3205,Y,0,321 KE,3163,PUS,2372,TAO,3390,,0,73H KE,3163,PVG,3406,ICN,3930,,0,772 77W 333 KE,3163,PVG,3406,PUS,2372,,0,739 KE,3163,REP,3035,ICN,3930,,0,73J 73H KE,3163,REP,3035,PUS,2372,,0,73H KE,3163,RGN,3239,ICN,3930,,0,73H KE,3163,ROR,2256,ICN,3930,,0,73H KE,3163,RSU,2365,CJU,2370,,0,73H KE,3163,RSU,2365,GMP,2378,,0,73H KE,3163,RUH,2082,ICN,3930,,0,332 KE,3163,RUH,2082,JED,2072,,0,332 KE,3163,SCL,2650,ATL,3682,Y,0,76W KE,3163,SCL,2650,LIM,2789,Y,0,763 KE,3163,SEA,3577,ICN,3930,,0,772 77W KE,3163,SFO,3469,ICN,3930,,0,77W 772 KE,3163,SGN,3205,ICN,3930,,0,321 73H 333 744 KE,3163,SGN,3205,PUS,2372,Y,0,321 KE,3163,SHA,3391,GMP,2378,,0,772 KE,3163,SHE,4144,ICN,3930,,0,773 332 73H 744 KE,3163,SIN,3316,ICN,3930,,0,77W 773 KE,3163,SVO,2985,ICN,3930,,0,772 KE,3163,SYD,3361,ICN,3930,,0,333 KE,3163,SZX,3374,ICN,3930,,0,73J KE,3163,TAE,2381,CJU,2370,,0,73H 739 KE,3163,TAE,2381,ICN,3930,,0,73J 73H KE,3163,TAO,3390,ICN,3930,,0,73J 333 744 KE,3163,TAO,3390,PUS,2372,,0,73H KE,3163,TAS,2983,ICN,3930,,0,332 763 753 KE,3163,TIJ,1847,NRT,2279,Y,0,787 KE,3163,TLV,1590,ICN,3930,,0,772 KE,3163,TNA,4108,ICN,3930,,0,73J 739 KE,3163,TPE,2276,ICN,3930,,0,333 73H KE,3163,TSN,3368,ICN,3930,,0,73H 739 KE,3163,TXN,6387,ICN,3930,,0,73H 73J KE,3163,ULN,3380,ICN,3930,,0,333 KE,3163,USN,2374,CJU,2370,,0,73H KE,3163,USN,2374,GMP,2378,,0,73H KE,3163,VIE,1613,ZRH,1678,,0,77W KE,3163,VVO,2934,ICN,3930,,0,73J KE,3163,WJU,6005,CJU,2370,,0,739 KE,3163,WUH,3376,ICN,3930,,0,73J KE,3163,XIY,3379,ICN,3930,,0,332 KE,3163,XMN,3383,ICN,3930,,0,73H 73J KE,3163,YNJ,6414,ICN,3930,,0,739 KE,3163,YNT,3392,ICN,3930,Y,0,320 KE,3163,YVR,156,ICN,3930,,0,772 KE,3163,YYZ,193,ICN,3930,,0,772 KE,3163,ZRH,1678,ICN,3930,,0,77W KK,995,ADA,1685,EBL,3989,,0,320 KK,995,ADA,1685,ECN,5780,,0,320 KK,995,ADA,1685,IST,1701,,0,320 KK,995,ADB,1706,ECN,5780,,0,320 KK,995,ADB,1706,IST,1701,,0,320 KK,995,AYT,1688,IST,1701,,0,320 KK,995,BJV,4315,IST,1701,,0,320 KK,995,EBL,3989,ADA,1685,,0,320 KK,995,EBL,3989,ESB,1682,,0,320 KK,995,EBL,3989,IST,1701,,0,320 KK,995,ECN,5780,ADA,1685,,0,320 KK,995,ECN,5780,ADB,1706,,0,320 KK,995,ECN,5780,IST,1701,,0,320 KK,995,ESB,1682,EBL,3989,,0,320 KK,995,GZT,1689,IST,1701,,0,320 KK,995,IKA,4330,IST,1701,,0,320 KK,995,IST,1701,ADA,1685,,0,320 KK,995,IST,1701,ADB,1706,,0,320 KK,995,IST,1701,AYT,1688,,0,320 KK,995,IST,1701,BJV,4315,,0,320 KK,995,IST,1701,EBL,3989,,0,320 KK,995,IST,1701,ECN,5780,,0,320 KK,995,IST,1701,GZT,1689,,0,320 KK,995,IST,1701,IKA,4330,,0,320 KK,995,IST,1701,ISU,5952,,0,320 KK,995,IST,1701,LTN,492,,0,320 KK,995,IST,1701,NBC,6969,,0,320 KK,995,IST,1701,TBS,3973,,0,320 KK,995,ISU,5952,IST,1701,,0,320 KK,995,LTN,492,IST,1701,,0,320 KK,995,NBC,6969,IST,1701,,0,320 KK,995,TBS,3973,IST,1701,,0,320 KL,3090,AAL,628,AMS,580,Y,0,EMJ F70 KL,3090,ABE,4355,ATL,3682,Y,0,CRJ KL,3090,ABQ,4019,ATL,3682,Y,0,757 320 KL,3090,ABV,260,CDG,1382,Y,0,332 KL,3090,ABV,260,PHC,275,Y,0,332 KL,3090,ABY,5715,ATL,3682,Y,0,CRJ KL,3090,ABZ,532,AMS,580,,0,737 EMJ F70 KL,3090,ACC,248,AMS,580,,0,330 KL,3090,ADD,1107,JIB,4119,Y,0,EMJ E90 KL,3090,ADD,1107,NBO,4059,Y,0,E90 KL,3090,AES,630,AMS,580,Y,0,EMJ KL,3090,AEX,3852,ATL,3682,Y,0,CRJ KL,3090,AGS,3658,ATL,3682,Y,0,CRJ 717 KL,3090,AKU,6404,URC,3399,Y,0,737 KL,3090,ALA,2908,AMS,580,,0,330 KL,3090,ALB,3864,ATL,3682,Y,0,M88 CR9 KL,3090,ALG,210,CDG,1382,Y,0,319 KL,3090,AMS,580,AAL,628,Y,0,F70 EMJ KL,3090,AMS,580,ABZ,532,,0,EMJ 737 F70 KL,3090,AMS,580,ACC,248,,0,330 KL,3090,AMS,580,AES,630,Y,0,EMJ KL,3090,AMS,580,ALA,2908,,0,330 KL,3090,AMS,580,ARN,737,,0,737 KL,3090,AMS,580,ATH,3941,,0,737 KL,3090,AMS,580,ATL,3682,,0, 777 KL,3090,AMS,580,AUA,2895,,0,330 KL,3090,AMS,580,AUH,2179,,0,330 KL,3090,AMS,580,BCN,1218,,0,737 KL,3090,AMS,580,BGO,636,,0,F70 EMJ 737 KL,3090,AMS,580,BHX,469,,0,EMJ 737 KL,3090,AMS,580,BKK,3885,,0,777 KL,3090,AMS,580,BLL,608,,0,737 EMJ KL,3090,AMS,580,BLQ,1538,Y,0,EMJ KL,3090,AMS,580,BOD,1264,,0,F70 KL,3090,AMS,580,BOM,2997,Y,0,76W KL,3090,AMS,580,BOS,3448,Y,0,330 KL,3090,AMS,580,BRE,353,Y,0,F70 KL,3090,AMS,580,BRS,490,Y,0,EMJ KL,3090,AMS,580,BRU,302,Y,0,F70 EMJ KL,3090,AMS,580,BSL,1423,Y,0,F70 EMJ KL,3090,AMS,580,BUD,1489,,0,737 KL,3090,AMS,580,CAI,1128,,0,777 KL,3090,AMS,580,CAN,3370,Y,0,330 KL,3090,AMS,580,CDG,1382,,0,737 KL,3090,AMS,580,CFE,1330,Y,0,ERJ KL,3090,AMS,580,CGN,344,Y,0,F70 KL,3090,AMS,580,CPH,609,,0,737 EMJ KL,3090,AMS,580,CPT,797,,0,777 KL,3090,AMS,580,CTU,3395,,0,74M KL,3090,AMS,580,CUR,2897,,0,747 KL,3090,AMS,580,CWL,488,Y,0,F70 KL,3090,AMS,580,DEL,3093,,0,330 KL,3090,AMS,580,DFW,3670,,0,330 KL,3090,AMS,580,DMM,2064,,0,330 KL,3090,AMS,580,DOH,11051,,0,330 KL,3090,AMS,580,DTW,3645,Y,0,777 330 76W KL,3090,AMS,580,DUS,345,Y,0,F70 KL,3090,AMS,580,DXB,2188,,0,777 KL,3090,AMS,580,EDI,535,,0,737 EMJ KL,3090,AMS,580,EWR,3494,Y,0,76W KL,3090,AMS,580,EZE,3988,,0,777 KL,3090,AMS,580,FCO,1555,,0,737 KL,3090,AMS,580,FLR,1563,,0,EMJ KL,3090,AMS,580,FRA,340,Y,0,EMJ F70 KL,3090,AMS,580,FUK,2305,,0,777 KL,3090,AMS,580,GIG,2560,,0,777 KL,3090,AMS,580,GLA,534,,0,EMJ 737 KL,3090,AMS,580,GOT,687,,0,EMJ KL,3090,AMS,580,GRU,2564,,0,777 KL,3090,AMS,580,GVA,1665,,0,737 F70 EMJ KL,3090,AMS,580,HAJ,352,Y,0,EMJ F70 KL,3090,AMS,580,HAM,342,,0,737 EMJ KL,3090,AMS,580,HAV,1909,,0,330 KL,3090,AMS,580,HEL,421,,0,737 KL,3090,AMS,580,HGH,3386,,0,777 KL,3090,AMS,580,HKG,3077,,0,74M KL,3090,AMS,580,HRE,1005,,0,330 KL,3090,AMS,580,HUY,515,Y,0,F70 KL,3090,AMS,580,IAD,3714,,0,330 KL,3090,AMS,580,IAH,3550,,0,74M KL,3090,AMS,580,ICN,3930,,0,74M 330 KL,3090,AMS,580,IST,1701,,0,737 KL,3090,AMS,580,JFK,3797,,0,330 777 74M 747 KL,3090,AMS,580,JNB,813,,0,777 KL,3090,AMS,580,JRO,1180,,0,330 KL,3090,AMS,580,KBP,2939,,0,737 KL,3090,AMS,580,KGL,1165,,0,330 KL,3090,AMS,580,KIX,3992,,0,777 KL,3090,AMS,580,KRS,638,Y,0,F70 EMJ KL,3090,AMS,580,KUL,3304,,0,777 KL,3090,AMS,580,KWI,2176,,0,330 KL,3090,AMS,580,LAD,951,,0,330 KL,3090,AMS,580,LAX,3484,,0,74M 747 KL,3090,AMS,580,LBA,517,Y,0,F70 EMJ KL,3090,AMS,580,LCA,1197,Y,0,32S KL,3090,AMS,580,LCY,503,Y,0,ARJ KL,3090,AMS,580,LED,2948,,0,737 KL,3090,AMS,580,LHR,507,,0,737 F70 EMJ KL,3090,AMS,580,LIM,2789,,0,777 KL,3090,AMS,580,LIN,1529,,0,737 KL,3090,AMS,580,LIS,1638,,0,737 KL,3090,AMS,580,LOS,273,,0,330 KL,3090,AMS,580,LPI,742,Y,0,F70 EMJ KL,3090,AMS,580,LUX,629,Y,0,EMJ F70 KL,3090,AMS,580,LYS,1335,Y,0,EMJ F70 KL,3090,AMS,580,MAD,1229,,0,737 KL,3090,AMS,580,MAN,478,,0,737 EMJ F70 KL,3090,AMS,580,MEX,1824,,0,74M KL,3090,AMS,580,MME,522,Y,0,F70 KL,3090,AMS,580,MRS,1353,Y,0,32S KL,3090,AMS,580,MSP,3858,Y,0,330 76W KL,3090,AMS,580,MUC,346,,0,737 KL,3090,AMS,580,NBO,4059,,0,747 KL,3090,AMS,580,NCE,1354,,0,737 EMJ KL,3090,AMS,580,NCL,521,,0,EMJ 737 KL,3090,AMS,580,NRT,2279,,0,747 74M 777 KL,3090,AMS,580,NTE,1418,Y,0,ERJ KL,3090,AMS,580,NUE,347,Y,0,EMJ F70 KL,3090,AMS,580,NWI,547,Y,0,F70 KL,3090,AMS,580,ORD,3830,,0,74M KL,3090,AMS,580,OSL,644,,0,737 EMJ KL,3090,AMS,580,OTP,1657,,0,737 KL,3090,AMS,580,PBM,2773,,0,747 KL,3090,AMS,580,PDX,3720,Y,0,330 KL,3090,AMS,580,PEK,3364,,0,74M KL,3090,AMS,580,PRG,1587,Y,0,F70 EMJ 737 KL,3090,AMS,580,PTY,1871,,0,777 KL,3090,AMS,580,PVG,3406,,0,74M 747 KL,3090,AMS,580,RIX,3953,Y,0,737 KL,3090,AMS,580,SEA,3577,Y,0,330 KL,3090,AMS,580,SFO,3469,,0,747 KL,3090,AMS,580,SIN,3316,,0,777 KL,3090,AMS,580,STR,350,Y,0,F70 EMJ KL,3090,AMS,580,SVG,666,,0,EMJ 737 KL,3090,AMS,580,SVO,2985,,0,737 KL,3090,AMS,580,SXB,1435,Y,0,ERJ CRJ EMJ KL,3090,AMS,580,SXM,2899,,0,747 KL,3090,AMS,580,TBS,3973,Y,0,737 KL,3090,AMS,580,TLL,415,Y,0,CRJ KL,3090,AMS,580,TLS,1273,Y,0,EMJ KL,3090,AMS,580,TLV,1590,,0,737 KL,3090,AMS,580,TPE,2276,,0,777 KL,3090,AMS,580,TRD,665,Y,0,EMJ KL,3090,AMS,580,TRF,664,Y,0,EMJ KL,3090,AMS,580,TXL,351,,0,737 EMJ KL,3090,AMS,580,UIO,2688,,0,777 KL,3090,AMS,580,VCE,1551,,0,737 EMJ KL,3090,AMS,580,VIE,1613,,0,737 EMJ KL,3090,AMS,580,WAW,679,,0,737 KL,3090,AMS,580,XMN,3383,,0,777 KL,3090,AMS,580,YUL,146,,0,M11 KL,3090,AMS,580,YVR,156,,0,330 KL,3090,AMS,580,YYC,178,,0,330 KL,3090,AMS,580,YYZ,193,,0,M11 330 747 74M KL,3090,AMS,580,ZRH,1678,,0,737 EMJ KL,3090,ARN,737,AMS,580,,0,737 KL,3090,ATH,3941,AMS,580,,0,737 KL,3090,ATL,3682,ABE,4355,Y,0,717 KL,3090,ATL,3682,ABQ,4019,Y,0,757 KL,3090,ATL,3682,ABY,5715,Y,0,CRJ KL,3090,ATL,3682,AEX,3852,Y,0,CRJ CR9 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KL,3090,ATL,3682,SFO,3469,Y,0,739 763 757 KL,3090,ATL,3682,SGF,4348,Y,0,CRJ CR9 KL,3090,ATL,3682,SHV,3609,Y,0,CRJ KL,3090,ATL,3682,SJC,3748,Y,0,738 KL,3090,ATL,3682,SJD,1840,Y,0,73W 738 KL,3090,ATL,3682,SJU,2890,Y,0,757 KL,3090,ATL,3682,SLC,3536,Y,0,763 757 KL,3090,ATL,3682,SMF,3817,Y,0,757 KL,3090,ATL,3682,SNA,3867,Y,0,757 KL,3090,ATL,3682,SRQ,4067,Y,0,757 KL,3090,ATL,3682,STL,3678,Y,0,M90 757 KL,3090,ATL,3682,STR,350,Y,0,76W KL,3090,ATL,3682,STT,2883,Y,0,757 KL,3090,ATL,3682,SYR,3745,Y,0,M88 KL,3090,ATL,3682,TLH,3698,Y,0,CRJ M88 319 KL,3090,ATL,3682,TPA,3646,Y,0,757 739 KL,3090,ATL,3682,TRI,4116,Y,0,CRJ 319 KL,3090,ATL,3682,TUL,3855,Y,0,CR7 M88 CR9 KL,3090,ATL,3682,TUS,3636,Y,0,M90 KL,3090,ATL,3682,TYS,3676,Y,0,CR7 CRJ 717 CR9 KL,3090,ATL,3682,VLD,5776,Y,0,CRJ KL,3090,ATL,3682,VPS,3873,Y,0,M88 319 717 KL,3090,ATL,3682,XNA,4356,Y,0,CRJ CR9 717 CR7 KL,3090,ATW,4047,ATL,3682,Y,0,CR7 CR9 KL,3090,AUA,2895,BON,2896,,0,330 KL,3090,AUH,2179,AMS,580,,0,330 KL,3090,AUH,2179,BAH,2057,,0,330 KL,3090,AUH,2179,ISB,2223,Y,0,320 332 KL,3090,AUH,2179,LHE,2207,Y,0,332 320 77W KL,3090,AUS,3673,ATL,3682,Y,0,M90 M88 KL,3090,AVL,4007,ATL,3682,Y,0,CRJ KL,3090,AVP,4286,ATL,3682,Y,0,CR7 KL,3090,BAH,2057,AUH,2179,,0,330 KL,3090,BCN,1218,AMS,580,,0,737 KL,3090,BCN,1218,JFK,3797,Y,0,330 KL,3090,BDL,3825,ATL,3682,Y,0,M88 320 73W KL,3090,BEL,2526,STM,4092,Y,0,737 KL,3090,BGO,636,AMS,580,,0,737 F70 EMJ KL,3090,BHM,3811,ATL,3682,Y,0,M88 KL,3090,BHX,469,AMS,580,,0,737 EMJ KL,3090,BJM,1120,KGL,1165,Y,0,EMJ E70 KL,3090,BJM,1120,NBO,4059,Y,0,E70 KL,3090,BKK,3885,AMS,580,,0,777 KL,3090,BKK,3885,CEI,3932,Y,0,320 KL,3090,BKK,3885,CNX,3931,Y,0,319 KL,3090,BKK,3885,HKT,3179,Y,0,320 KL,3090,BKK,3885,TPE,2276,Y,0,340 KL,3090,BLL,608,AMS,580,,0,737 EMJ KL,3090,BLQ,1538,AMS,580,Y,0,EMJ KL,3090,BMI,4037,ATL,3682,Y,0,CR9 CR7 KL,3090,BNA,3690,ATL,3682,Y,0,M88 738 320 717 319 KL,3090,BOD,1264,AMS,580,,0,F70 KL,3090,BOM,2997,AMS,580,Y,0,76W KL,3090,BON,2896,AMS,580,,0,330 KL,3090,BOS,3448,AMS,580,Y,0,330 KL,3090,BOS,3448,ATL,3682,Y,0,757 M90 M88 KL,3090,BOS,3448,LHR,507,Y,0,767 KL,3090,BPS,4209,CNF,2537,Y,0,737 KL,3090,BQK,5725,ATL,3682,Y,0,CRJ KL,3090,BRE,353,AMS,580,Y,0,F70 KL,3090,BRS,490,AMS,580,Y,0,EMJ KL,3090,BRU,302,AMS,580,Y,0,F70 EMJ KL,3090,BRU,302,ATL,3682,Y,0,76W KL,3090,BRU,302,JFK,3797,Y,0,76W KL,3090,BSL,1423,AMS,580,Y,0,F70 EMJ KL,3090,BSL,1423,CDG,1382,Y,0,AT7 KL,3090,BTR,3846,ATL,3682,Y,0,CRJ CR7 319 CR9 KL,3090,BTV,3711,ATL,3682,Y,0,CR9 KL,3090,BUD,1489,AMS,580,,0,737 KL,3090,BUF,3820,ATL,3682,Y,0,M90 M88 KL,3090,BWI,3849,ATL,3682,Y,0,M88 M90 757 73W KL,3090,BZV,883,FIH,1020,Y,0,737 738 KL,3090,BZV,883,NBO,4059,Y,0,738 KL,3090,CAE,3561,ATL,3682,Y,0,M88 319 CRJ 717 KL,3090,CAI,1128,AMS,580,,0,777 KL,3090,CAK,4112,ATL,3682,Y,0,M88 CR9 KL,3090,CAN,3370,AMS,580,Y,0,330 KL,3090,CAN,3370,HGH,3386,Y,0,321 772 738 333 KL,3090,CDG,1382,ABV,260,Y,0,330 KL,3090,CDG,1382,ALG,210,Y,0,319 KL,3090,CDG,1382,AMS,580,,0,737 KL,3090,CDG,1382,BSL,1423,Y,0,ATR KL,3090,CDG,1382,CMN,1074,Y,0,320 319 KL,3090,CDG,1382,DLA,897,Y,0,777 KL,3090,CDG,1382,EZE,3988,Y,0,777 KL,3090,CDG,1382,NIM,280,Y,0,330 KL,3090,CDG,1382,PUJ,1760,Y,0,747 KL,3090,CDG,1382,ROB,1063,Y,0,330 KL,3090,CEI,3932,BKK,3885,Y,0,320 KL,3090,CFE,1330,AMS,580,Y,0,ERJ KL,3090,CGK,3275,KUL,3304,,0,777 KL,3090,CGK,3275,SYD,3361,,0,330 KL,3090,CGN,344,AMS,580,Y,0,F70 KL,3090,CGO,3375,CTU,3395,Y,0,320 KL,3090,CGO,3375,HRB,3400,Y,0,320 KL,3090,CHA,3578,ATL,3682,Y,0,CRJ KL,3090,CHO,4015,ATL,3682,Y,0,CRJ KL,3090,CHS,3806,ATL,3682,Y,0,73W M88 319 KL,3090,CID,4043,ATL,3682,Y,0,CRJ CR9 KL,3090,CLE,3486,ATL,3682,Y,0,M88 717 CR9 KL,3090,CLT,3876,ATL,3682,Y,0,M90 M88 KL,3090,CMH,3759,ATL,3682,Y,0,M88 73W 738 319 KL,3090,CMN,1074,CDG,1382,Y,0,320 319 KL,3090,CNF,2537,GRU,2564,Y,0,738 KL,3090,CNX,3931,BKK,3885,Y,0,320 KL,3090,COS,3819,ATL,3682,Y,0,738 KL,3090,CPH,609,AMS,580,,0,737 EMJ KL,3090,CPT,797,AMS,580,,0,777 KL,3090,CRW,4285,ATL,3682,Y,0,CRJ KL,3090,CSG,4255,ATL,3682,Y,0,CRJ KL,3090,CTU,3395,AMS,580,,0,74M KL,3090,CTU,3395,CGO,3375,Y,0,32S KL,3090,CTU,3395,HGH,3386,Y,0,320 KL,3090,CTU,3395,KMG,3382,Y,0,737 KL,3090,CTU,3395,KWL,3372,Y,0,737 KL,3090,CTU,3395,TNA,4108,Y,0,32S KL,3090,CTU,3395,XIY,3379,Y,0,32S KL,3090,CUN,1852,ATL,3682,Y,0,757 320 M88 KL,3090,CUN,1852,MEX,1824,Y,0,767 KL,3090,CUR,2897,AMS,580,,0,747 KL,3090,CVG,3488,ATL,3682,Y,0,M88 738 319 KL,3090,CWB,2545,GIG,2560,Y,0,73G KL,3090,CWB,2545,MGF,2586,Y,0,738 KL,3090,CWL,488,AMS,580,Y,0,F70 KL,3090,CZM,1800,ATL,3682,Y,0,319 M88 KL,3090,DAB,3950,ATL,3682,Y,0,M90 M88 KL,3090,DAL,3502,ATL,3682,Y,0,CRJ KL,3090,DAR,1177,AMS,580,,0,330 KL,3090,DAY,3627,ATL,3682,Y,0,M88 KL,3090,DCA,3520,ATL,3682,Y,0,M90 M88 KL,3090,DEL,3093,AMS,580,,0,330 KL,3090,DEN,3751,ATL,3682,Y,0,757 M90 KL,3090,DFW,3670,AMS,580,,0,330 KL,3090,DFW,3670,ATL,3682,Y,0,M88 319 KL,3090,DHN,3739,ATL,3682,Y,0,CRJ KL,3090,DLA,897,CDG,1382,Y,0,772 KL,3090,DLA,897,SSG,891,Y,0,772 KL,3090,DLC,3404,HGH,3386,Y,0,32S KL,3090,DMM,2064,AMS,580,,0,330 KL,3090,DMM,2064,KWI,2176,,0,330 KL,3090,DOH,11051,AMS,580,,0,330 KL,3090,DOH,11051,MCT,2194,,0,330 KL,3090,DPS,3940,SIN,3316,,0,777 KL,3090,DSM,3729,ATL,3682,Y,0,M88 CR7 CR9 KL,3090,DTW,3645,AMS,580,Y,0,777 330 76W KL,3090,DTW,3645,ATL,3682,Y,0,M88 73H 757 320 738 739 KL,3090,DTW,3645,FRA,340,Y,0,767 KL,3090,DTW,3645,LHR,507,Y,0,76W 777 KL,3090,DTW,3645,MSY,3861,Y,0,319 CR7 KL,3090,DUB,599,ATL,3682,Y,0,76W KL,3090,DUB,599,JFK,3797,Y,0,757 KL,3090,DUS,345,AMS,580,Y,0,F70 KL,3090,DUS,345,ATL,3682,Y,0,76W KL,3090,DXB,2188,AMS,580,,0,777 KL,3090,DXB,2188,NBO,4059,Y,0,767 KL,3090,DZA,915,HAH,912,Y,0,737 73W KL,3090,EBB,1187,AMS,580,,0,330 KL,3090,ECP,7669,ATL,3682,Y,0,717 M88 CR9 KL,3090,EDI,535,AMS,580,,0,737 EMJ KL,3090,ELP,3559,ATL,3682,Y,0,M88 KL,3090,EVV,4018,ATL,3682,Y,0,CRJ KL,3090,EWN,3730,ATL,3682,Y,0,CRJ KL,3090,EWR,3494,AMS,580,Y,0,76W KL,3090,EWR,3494,ATL,3682,Y,0,717 319 KL,3090,EYW,3875,ATL,3682,Y,0,73W KL,3090,EZE,3988,AMS,580,,0,777 KL,3090,EZE,3988,CDG,1382,Y,0,772 KL,3090,EZE,3988,FTE,4061,Y,0,737 KL,3090,EZE,3988,MVD,2816,Y,0,772 KL,3090,EZE,3988,SCL,2650,,0,777 KL,3090,FAY,5738,ATL,3682,Y,0,CRJ KL,3090,FBM,1038,NBO,4059,Y,0,E90 KL,3090,FBM,1038,NLA,910,Y,0,EMJ E90 KL,3090,FCO,1555,AMS,580,,0,737 KL,3090,FCO,1555,ATL,3682,Y,0,333 KL,3090,FIH,1020,BZV,883,Y,0,737 738 KL,3090,FIH,1020,NBO,4059,Y,0,738 KL,3090,FLL,3533,ATL,3682,Y,0,757 KL,3090,FLR,1563,AMS,580,,0,EMJ KL,3090,FNA,1059,CDG,1382,Y,0,332 KL,3090,FNT,4089,ATL,3682,Y,0,M88 KL,3090,FRA,340,AMS,580,Y,0,EMJ F70 KL,3090,FRA,340,ATL,3682,Y,0,764 KL,3090,FRA,340,DTW,3645,Y,0,767 KL,3090,FRA,340,JFK,3797,Y,0,76W KL,3090,FSM,3437,ATL,3682,Y,0,CRJ KL,3090,FTE,4061,USH,2497,Y,0,737 KL,3090,FUK,2305,AMS,580,,0,777 KL,3090,FWA,4041,ATL,3682,Y,0,CRJ KL,3090,GDL,1804,ATL,3682,Y,0,320 KL,3090,GIG,2560,AMS,580,,0,777 KL,3090,GIG,2560,CWB,2545,Y,0,737 KL,3090,GLA,534,AMS,580,,0,737 EMJ KL,3090,GNV,3472,ATL,3682,Y,0,CR9 CR7 KL,3090,GOT,687,AMS,580,,0,EMJ KL,3090,GPT,4038,ATL,3682,Y,0,M88 CRJ CR7 KL,3090,GRB,3653,ATL,3682,Y,0,CR9 CR7 KL,3090,GRK,3775,ATL,3682,Y,0,CR9 CR7 KL,3090,GRR,3685,ATL,3682,Y,0,320 717 M88 319 KL,3090,GRU,2564,AMS,580,,0,777 KL,3090,GSO,4008,ATL,3682,Y,0,CR7 M88 KL,3090,GSP,4034,ATL,3682,Y,0,CR7 319 717 M88 CRJ KL,3090,GTR,4273,ATL,3682,Y,0,CRJ KL,3090,GVA,1665,AMS,580,,0,737 F70 EMJ KL,3090,GYE,2673,AMS,580,,0,777 KL,3090,HAH,912,NBO,4059,Y,0,73W KL,3090,HAJ,352,AMS,580,Y,0,EMJ F70 KL,3090,HAK,4120,HGH,3386,Y,0,32S KL,3090,HAM,342,AMS,580,,0,737 EMJ KL,3090,HAV,1909,AMS,580,,0,330 KL,3090,HEL,421,AMS,580,,0,737 KL,3090,HGH,3386,AMS,580,,0,777 KL,3090,HGH,3386,CAN,3370,Y,0,321 772 KL,3090,HGH,3386,CGQ,4380,Y,0,320 KL,3090,HGH,3386,CTU,3395,Y,0,320 KL,3090,HGH,3386,DLC,3404,Y,0,321 KL,3090,HGH,3386,HAK,4120,Y,0,320 KL,3090,HGH,3386,HRB,3400,Y,0,320 KL,3090,HGH,3386,KWL,3372,Y,0,738 KL,3090,HGH,3386,LHW,3378,Y,0,757 KL,3090,HGH,3386,SHE,4144,Y,0,321 KL,3090,HGH,3386,SYX,4030,Y,0,321 KL,3090,HGH,3386,SZX,3374,Y,0,321 320 KL,3090,HGH,3386,TAO,3390,Y,0,738 KL,3090,HKG,3077,AMS,580,,0,74M KL,3090,HKT,3179,BKK,3885,Y,0,32S 320 KL,3090,HNL,3728,ATL,3682,Y,0,333 KL,3090,HNL,3728,LAX,3484,Y,0,757 KL,3090,HOU,3566,ATL,3682,Y,0,M88 KL,3090,HPN,3589,ATL,3682,Y,0,CR7 KL,3090,HRB,3400,CGO,3375,Y,0,32S KL,3090,HRB,3400,HGH,3386,Y,0,32S KL,3090,HRE,1005,LUN,907,,0,330 KL,3090,HRE,1005,NBO,4059,Y,0,E90 KL,3090,HSV,4113,ATL,3682,Y,0,717 CRJ KL,3090,HUY,515,AMS,580,Y,0,F70 KL,3090,IAD,3714,AMS,580,,0,330 KL,3090,IAD,3714,ATL,3682,Y,0,M88 320 KL,3090,IAH,3550,AMS,580,,0,74M KL,3090,IAH,3550,ATL,3682,Y,0,M88 717 319 KL,3090,ICN,3930,AMS,580,,0,74M 330 KL,3090,ICT,3457,ATL,3682,Y,0,CR7 CR9 KL,3090,ILM,3845,ATL,3682,Y,0,CRJ KL,3090,IND,3585,ATL,3682,Y,0,M88 320 KL,3090,ISB,2223,AUH,2179,Y,0,320 332 KL,3090,IST,1701,AMS,580,,0,737 KL,3090,JAN,3580,ATL,3682,Y,0,717 CR9 CRJ KL,3090,JAX,3712,ATL,3682,Y,0,757 KL,3090,JFK,3797,AMS,580,,0,330 777 74M 747 KL,3090,JFK,3797,ATL,3682,Y,0,319 738 752 M88 KL,3090,JFK,3797,BCN,1218,Y,0,330 KL,3090,JFK,3797,BRU,302,Y,0,76W KL,3090,JFK,3797,DUB,599,Y,0,757 KL,3090,JFK,3797,FRA,340,Y,0,76W KL,3090,JFK,3797,LHR,507,Y,0,767 76W KL,3090,JFK,3797,MAD,1229,Y,0,767 KL,3090,JFK,3797,MSY,3861,Y,0,CR9 KL,3090,JIB,4119,ADD,1107,Y,0,EMJ E90 KL,3090,JIB,4119,NBO,4059,Y,0,E90 KL,3090,JNB,813,AMS,580,,0,777 KL,3090,JNU,3492,KTN,3808,Y,0,737 KL,3090,JRO,1180,DAR,1177,,0,330 KL,3090,KBP,2939,AMS,580,,0,737 KL,3090,KBP,2939,TBS,3973,Y,0,73G KL,3090,KCH,3263,KUL,3304,Y,0,738 KL,3090,KCH,3263,MYY,3266,Y,0,738 KL,3090,KGL,1165,BJM,1120,Y,0,EMJ E70 KL,3090,KGL,1165,EBB,1187,,0,330 KL,3090,KGL,1165,NBO,4059,Y,0,E70 KL,3090,KHH,2264,SIN,3316,Y,0,737 KL,3090,KIN,1779,PTY,1871,Y,0,EMJ KL,3090,KIX,3992,AMS,580,,0,777 KL,3090,KMG,3382,CTU,3395,Y,0,737 KL,3090,KRS,638,AMS,580,Y,0,EMJ F70 KL,3090,KTN,3808,SEA,3577,Y,0,734 KL,3090,KTN,3808,SIT,3856,Y,0,737 KL,3090,KUL,3304,AMS,580,,0,777 KL,3090,KUL,3304,CGK,3275,,0,777 KL,3090,KUL,3304,KCH,3263,Y,0,737 KL,3090,KWI,2176,AMS,580,,0,330 KL,3090,KWI,2176,DMM,2064,,0,330 KL,3090,KWL,3372,CTU,3395,Y,0,738 KL,3090,KWL,3372,HGH,3386,Y,0,737 KL,3090,KWL,3372,NNG,3373,Y,0,738 KL,3090,LAD,951,AMS,580,,0,330 KL,3090,LAS,3877,ATL,3682,Y,0,757 KL,3090,LAX,3484,AMS,580,,0,74M 747 KL,3090,LAX,3484,ATL,3682,Y,0,757 KL,3090,LAX,3484,KOA,3514,Y,0,757 KL,3090,LAX,3484,MSP,3858,Y,0,757 753 KL,3090,LAX,3484,MSY,3861,Y,0,319 KL,3090,LAX,3484,OGG,3456,Y,0,757 KL,3090,LBA,517,AMS,580,Y,0,F70 EMJ KL,3090,LCA,1197,AMS,580,Y,0,32S KL,3090,LCY,503,AMS,580,Y,0,ARJ KL,3090,LCY,503,RTM,591,Y,0,F50 ARJ KL,3090,LED,2948,AMS,580,,0,737 KL,3090,LEX,4017,ATL,3682,Y,0,CR9 CRJ KL,3090,LFT,3493,ATL,3682,Y,0,CRJ KL,3090,LGA,3697,ATL,3682,Y,0,757 M88 73W KL,3090,LHE,2207,AUH,2179,Y,0,346 77W 320 KL,3090,LHR,507,AMS,580,,0,737 F70 EMJ KL,3090,LHR,507,ATL,3682,Y,0,764 77L 76W KL,3090,LHR,507,BOS,3448,Y,0,767 KL,3090,LHR,507,DTW,3645,Y,0,76W 777 KL,3090,LHR,507,JFK,3797,Y,0,76W 767 KL,3090,LHR,507,MSP,3858,Y,0,767 KL,3090,LHR,507,SEA,3577,Y,0,76W KL,3090,LHW,3378,URC,3399,Y,0,752 KL,3090,LIM,2789,AMS,580,,0,777 KL,3090,LIN,1529,AMS,580,,0,737 KL,3090,LIS,1638,AMS,580,,0,737 KL,3090,LIT,3660,ATL,3682,Y,0,M88 KL,3090,LLW,1016,LUN,907,Y,0,EMJ E90 KL,3090,LLW,1016,NBO,4059,Y,0,738 E90 KL,3090,LOS,273,AMS,580,,0,330 KL,3090,LPI,742,AMS,580,Y,0,EMJ F70 KL,3090,LUN,907,AMS,580,,0,330 KL,3090,LUN,907,HRE,1005,Y,0,EMJ E90 KL,3090,LUN,907,LLW,1016,Y,0,737 EMJ 738 E90 763 KL,3090,LUN,907,NBO,4059,Y,0,E90 763 KL,3090,LUX,629,AMS,580,Y,0,F70 EMJ KL,3090,LVI,906,HRE,1005,Y,0,EMJ E90 KL,3090,LYS,1335,AMS,580,Y,0,EMJ F70 KL,3090,MAD,1229,AMS,580,,0,737 KL,3090,MAD,1229,ATL,3682,Y,0,764 KL,3090,MAD,1229,JFK,3797,Y,0,767 KL,3090,MAN,478,AMS,580,,0,737 EMJ F70 KL,3090,MAN,478,ATL,3682,Y,0,76W KL,3090,MAO,2551,GRU,2564,Y,0,737 KL,3090,MCI,3458,ATL,3682,Y,0,M88 M90 757 KL,3090,MCO,3878,ATL,3682,Y,0,757 739 KL,3090,MCT,2194,DOH,11051,,0,330 KL,3090,MDT,3542,ATL,3682,Y,0,CRJ KL,3090,MDW,3747,ATL,3682,Y,0,717 320 319 KL,3090,MEM,3473,ATL,3682,Y,0,M88 320 KL,3090,MEX,1824,AMS,580,,0,74M KL,3090,MEX,1824,ATL,3682,Y,0,73W 738 73H KL,3090,MEX,1824,MTY,1825,Y,0,737 KL,3090,MGF,2586,CWB,2545,Y,0,737 KL,3090,MGM,4115,ATL,3682,Y,0,CRJ KL,3090,MHT,4011,ATL,3682,Y,0,320 KL,3090,MIA,3576,ATL,3682,Y,0,757 M88 M90 KL,3090,MKE,3717,ATL,3682,Y,0,M88 M90 KL,3090,MLB,3671,ATL,3682,Y,0,M88 KL,3090,MLI,4072,ATL,3682,Y,0,CR7 CR9 KL,3090,MLU,3732,ATL,3682,Y,0,CRJ KL,3090,MME,522,AMS,580,Y,0,F70 KL,3090,MNL,2397,TPE,2276,,0,777 KL,3090,MOB,3782,ATL,3682,Y,0,717 CR9 CR7 CRJ KL,3090,MRS,1353,AMS,580,Y,0,32S KL,3090,MSN,3459,ATL,3682,Y,0,73W CR7 320 CR9 KL,3090,MSP,3858,AMS,580,Y,0,330 KL,3090,MSP,3858,ATL,3682,Y,0,320 757 739 KL,3090,MSP,3858,LAX,3484,Y,0,757 KL,3090,MSP,3858,LHR,507,Y,0,767 KL,3090,MSP,3858,MSY,3861,Y,0,E75 CR9 KL,3090,MSP,3858,SEA,3577,Y,0,757 KL,3090,MSP,3858,SFO,3469,Y,0,757 KL,3090,MSY,3861,ATL,3682,Y,0,757 M90 M88 KL,3090,MSY,3861,DTW,3645,Y,0,319 CR9 CR7 M88 KL,3090,MSY,3861,JFK,3797,Y,0,CR9 KL,3090,MSY,3861,LAX,3484,Y,0,319 KL,3090,MTY,1825,ATL,3682,Y,0,CR9 KL,3090,MUC,346,AMS,580,,0,737 KL,3090,MUC,346,ATL,3682,Y,0,764 KL,3090,MVD,2816,EZE,3988,Y,0,777 KL,3090,MYR,3515,ATL,3682,Y,0,CR7 CR9 717 319 KL,3090,MYY,3266,KCH,3263,Y,0,737 KL,3090,NBO,4059,ADD,1107,Y,0,EMJ KL,3090,NBO,4059,AMS,580,,0,747 KL,3090,NBO,4059,BJM,1120,Y,0,EMJ KL,3090,NBO,4059,BZV,883,Y,0,737 KL,3090,NBO,4059,DXB,2188,Y,0,767 KL,3090,NBO,4059,DZA,915,Y,0,737 KL,3090,NBO,4059,FBM,1038,Y,0,EMJ KL,3090,NBO,4059,FIH,1020,Y,0,737 KL,3090,NBO,4059,HRE,1005,Y,0,767 KL,3090,NBO,4059,JIB,4119,Y,0,EMJ KL,3090,NBO,4059,KGL,1165,Y,0,EMJ KL,3090,NBO,4059,LLW,1016,Y,0,EMJ KL,3090,NBO,4059,LUN,907,Y,0,EMJ 737 KL,3090,NBO,4059,LVI,906,Y,0,EMJ KL,3090,NBO,4059,NLA,910,Y,0,EMJ KL,3090,NCE,1354,AMS,580,,0,737 EMJ KL,3090,NCL,521,AMS,580,,0,EMJ 737 KL,3090,NIM,280,CDG,1382,Y,0,332 KL,3090,NIM,280,OUA,246,Y,0,332 KL,3090,NKG,3388,CGQ,4380,Y,0,319 KL,3090,NLA,910,FBM,1038,Y,0,EMJ E90 KL,3090,NLA,910,NBO,4059,Y,0,E90 KL,3090,NNG,3373,KWL,3372,Y,0,737 KL,3090,NRT,2279,AMS,580,,0,74M 747 777 KL,3090,NTE,1418,AMS,580,Y,0,ERJ KL,3090,NUE,347,AMS,580,Y,0,F70 EMJ KL,3090,NWI,547,AMS,580,Y,0,F70 KL,3090,OAJ,4386,ATL,3682,Y,0,CRJ KL,3090,OGG,3456,LAX,3484,Y,0,757 KL,3090,OKC,3863,ATL,3682,Y,0,CR9 M88 KL,3090,OMA,3454,ATL,3682,Y,0,CR7 M88 KL,3090,ORD,3830,AMS,580,,0,74M KL,3090,ORD,3830,ATL,3682,Y,0,717 M88 319 KL,3090,ORF,3611,ATL,3682,Y,0,M90 M88 319 KL,3090,OSL,644,AMS,580,,0,737 EMJ KL,3090,OTP,1657,AMS,580,,0,737 KL,3090,OUA,246,NIM,280,Y,0,330 KL,3090,PBI,3722,ATL,3682,Y,0,M90 757 KL,3090,PBM,2773,AMS,580,,0,747 KL,3090,PDX,3720,AMS,580,Y,0,330 KL,3090,PDX,3720,ATL,3682,Y,0,739 738 73H KL,3090,PEK,3364,AMS,580,,0,74M KL,3090,PHC,275,ABV,260,Y,0,330 332 KL,3090,PHF,3633,ATL,3682,Y,0,CRJ KL,3090,PHL,3752,ATL,3682,Y,0,M90 320 M88 73H KL,3090,PHX,3462,ATL,3682,Y,0,757 KL,3090,PIA,4046,ATL,3682,Y,0,CRJ KL,3090,PIT,3570,ATL,3682,Y,0,M88 CR9 KL,3090,PNS,3564,ATL,3682,Y,0,M90 KL,3090,PRG,1587,AMS,580,Y,0,EMJ F70 737 KL,3090,PSP,3839,SFO,3469,Y,0,737 KL,3090,PTY,1871,AMS,580,,0,777 KL,3090,PTY,1871,SJO,1885,Y,0,737 KL,3090,PUJ,1760,SDQ,1762,Y,0,747 744 KL,3090,PVD,3641,ATL,3682,Y,0,M88 KL,3090,PVG,3406,AMS,580,,0,74M 747 KL,3090,PVR,1836,ATL,3682,Y,0,757 KL,3090,RDU,3626,ATL,3682,Y,0,M88 M90 KL,3090,RIC,3608,ATL,3682,Y,0,M88 73H KL,3090,RIX,3953,AMS,580,Y,0,737 KL,3090,ROA,4016,ATL,3682,Y,0,CRJ KL,3090,ROB,1063,FNA,1059,Y,0,330 332 KL,3090,ROC,3622,ATL,3682,Y,0,M90 M88 KL,3090,RSW,3793,ATL,3682,Y,0,M90 M88 KL,3090,RTM,591,LCY,503,Y,0,F50 ARJ KL,3090,SAN,3731,ATL,3682,Y,0,763 739 KL,3090,SAT,3621,ATL,3682,Y,0,757 M90 KL,3090,SAV,3613,ATL,3682,Y,0,717 M88 319 KL,3090,SBN,4359,ATL,3682,Y,0,CRJ KL,3090,SCL,2650,EZE,3988,,0,777 KL,3090,SDF,4014,ATL,3682,Y,0,M88 KL,3090,SDQ,1762,CDG,1382,Y,0,744 KL,3090,SEA,3577,AMS,580,Y,0,330 KL,3090,SEA,3577,ATL,3682,Y,0,76W 763 KL,3090,SEA,3577,HNL,3728,Y,0,753 KL,3090,SEA,3577,KTN,3808,Y,0,737 KL,3090,SEA,3577,LHR,507,Y,0,76W KL,3090,SFO,3469,AMS,580,,0,747 KL,3090,SFO,3469,ATL,3682,Y,0,763 757 KL,3090,SFO,3469,HNL,3728,Y,0,753 KL,3090,SFO,3469,SEA,3577,Y,0,734 KL,3090,SGF,4348,ATL,3682,Y,0,CRJ KL,3090,SHE,4144,HGH,3386,Y,0,32S KL,3090,SHE,4144,XIY,3379,Y,0,32S KL,3090,SHV,3609,ATL,3682,Y,0,CRJ KL,3090,SIN,3316,AMS,580,,0,777 KL,3090,SIN,3316,DPS,3940,,0,777 KL,3090,SIT,3856,JNU,3492,Y,0,737 KL,3090,SJC,3748,ATL,3682,Y,0,738 KL,3090,SJD,1840,ATL,3682,Y,0,73W 738 KL,3090,SJO,1885,GUA,1767,Y,0,73G KL,3090,SJO,1885,PTY,1871,Y,0,E90 KL,3090,SJO,1885,TGU,1776,Y,0,738 KL,3090,SJU,2890,ATL,3682,Y,0,73H 757 753 KL,3090,SLC,3536,ATL,3682,Y,0,763 757 738 KL,3090,SLC,3536,LAX,3484,Y,0,757 KL,3090,SLZ,2616,BEL,2526,Y,0,737 KL,3090,SMF,3817,ATL,3682,Y,0,757 KL,3090,SNA,3867,ATL,3682,Y,0,757 KL,3090,SRQ,4067,ATL,3682,Y,0,M90 KL,3090,SSG,891,DLA,897,Y,0,777 KL,3090,STL,3678,ATL,3682,Y,0,M90 M88 319 KL,3090,STM,4092,MAO,2551,Y,0,737 KL,3090,STR,350,AMS,580,Y,0,EMJ F70 KL,3090,STR,350,ATL,3682,Y,0,76W KL,3090,STT,2883,ATL,3682,Y,0,757 KL,3090,SVG,666,AMS,580,,0,737 EMJ KL,3090,SVO,2985,AMS,580,,0,737 KL,3090,SXB,1435,AMS,580,Y,0,ERJ CRJ EMJ KL,3090,SXM,2899,CUR,2897,,0,747 KL,3090,SYR,3745,ATL,3682,Y,0,M88 CR9 KL,3090,SYX,4030,HGH,3386,Y,0,32S KL,3090,SZX,3374,HGH,3386,Y,0,32S 320 KL,3090,TAO,3390,HGH,3386,Y,0,737 KL,3090,TBS,3973,AMS,580,Y,0,737 KL,3090,TBS,3973,KBP,2939,Y,0,73G KL,3090,TGU,1776,SJO,1885,Y,0,EMJ KL,3090,TLH,3698,ATL,3682,Y,0,319 M88 CRJ 717 KL,3090,TLL,415,AMS,580,Y,0,CRJ KL,3090,TLS,1273,AMS,580,Y,0,EMJ KL,3090,TLV,1590,AMS,580,,0,737 KL,3090,TNA,4108,CGQ,4380,Y,0,320 KL,3090,TPA,3646,ATL,3682,Y,0,757 739 KL,3090,TPE,2276,AMS,580,,0,777 KL,3090,TPE,2276,BKK,3885,Y,0,340 KL,3090,TPE,2276,MNL,2397,,0,777 KL,3090,TRD,665,AMS,580,Y,0,EMJ KL,3090,TRF,664,AMS,580,Y,0,EMJ KL,3090,TRI,4116,ATL,3682,Y,0,CRJ KL,3090,TRN,1526,FCO,1555,Y,0,32S KL,3090,TUL,3855,ATL,3682,Y,0,CR7 CR9 KL,3090,TUS,3636,ATL,3682,Y,0,M90 KL,3090,TXL,351,AMS,580,,0,737 EMJ KL,3090,TYS,3676,ATL,3682,Y,0,717 CR7 CRJ CR9 KL,3090,UIO,2688,GYE,2673,,0,777 KL,3090,URC,3399,HGH,3386,Y,0,73G KL,3090,URC,3399,WUH,3376,Y,0,737 KL,3090,VCE,1551,AMS,580,,0,737 EMJ KL,3090,VIE,1613,AMS,580,,0,737 EMJ KL,3090,VLD,5776,ATL,3682,Y,0,CRJ KL,3090,VPS,3873,ATL,3682,Y,0,717 319 M88 KL,3090,WAW,679,AMS,580,,0,737 KL,3090,WUH,3376,XMN,3383,Y,0,73G KL,3090,XIY,3379,CTU,3395,Y,0,320 KL,3090,XIY,3379,DLC,3404,Y,0,320 KL,3090,XIY,3379,SHE,4144,Y,0,320 KL,3090,XMN,3383,AMS,580,,0,777 KL,3090,XMN,3383,NKG,3388,Y,0,32S KL,3090,XNA,4356,ATL,3682,Y,0,CRJ CR7 CR9 KL,3090,YEG,49,YMM,90,Y,0,73W KL,3090,YEG,49,YWG,160,Y,0,737 KL,3090,YHZ,73,YYT,189,Y,0,73W KL,3090,YHZ,73,YYZ,193,Y,0,73W KL,3090,YOW,100,YYZ,193,Y,0,737 KL,3090,YUL,146,AMS,580,,0,M11 KL,3090,YVR,156,AMS,580,,0,330 KL,3090,YWG,160,YEG,49,Y,0,73W KL,3090,YWG,160,YUL,146,Y,0,73W KL,3090,YYC,178,AMS,580,,0,330 KL,3090,YYC,178,YEG,49,Y,0,737 KL,3090,YYC,178,YYZ,193,Y,0,737 KL,3090,YYT,189,YHZ,73,Y,0,737 KL,3090,YYZ,193,AMS,580,,0,M11 330 747 74M KL,3090,YYZ,193,YHZ,73,Y,0,737 KL,3090,YYZ,193,YQR,120,Y,0,73W KL,3090,YYZ,193,YUL,146,Y,0,73W KL,3090,YYZ,193,YWG,160,Y,0,737 KL,3090,ZRH,1678,AMS,580,,0,EMJ 737 KM,242,ALG,210,MLA,1606,,0,319 KM,242,AMS,580,MLA,1606,,0,320 319 KM,242,ATH,3941,MLA,1606,,0,320 KM,242,ATH,3941,SOF,1194,,0,320 KM,242,BEN,1154,MLA,1606,,0,320 KM,242,BHX,469,MLA,1606,,0,320 319 KM,242,BRS,490,MLA,1606,,0,320 KM,242,BRU,302,CTA,1509,Y,0,319 KM,242,BRU,302,MLA,1606,,0,320 319 KM,242,BUD,1489,MLA,1606,,0,320 KM,242,CDG,1382,MLA,1606,,0,319 320 KM,242,CTA,1509,BRU,302,Y,0,319 KM,242,CTA,1509,MLA,1606,,0,319 320 KM,242,CTA,1509,MUC,346,,0,319 KM,242,CWL,488,MLA,1606,,0,320 KM,242,DME,4029,MLA,1606,,0,320 KM,242,DUS,345,MLA,1606,,0,319 320 KM,242,EXT,552,MLA,1606,,0,320 KM,242,FCO,1555,MLA,1606,,0,320 319 KM,242,FRA,340,MLA,1606,,0,319 320 KM,242,GLA,534,MLA,1606,,0,320 KM,242,GVA,1665,MLA,1606,,0,320 KM,242,HAM,342,MLA,1606,,0,320 KM,242,IST,1701,MLA,1606,,0,319 737 KM,242,LCA,1197,MLA,1606,Y,0,332 KM,242,LED,2948,MLA,1606,,0,319 320 KM,242,LGW,502,MLA,1606,,0,320 319 KM,242,LHR,507,MLA,1606,,0,320 319 KM,242,LIN,1529,MLA,1606,,0,319 320 KM,242,LYS,1335,MLA,1606,,0,320 319 KM,242,MAN,478,MLA,1606,,0,320 KM,242,MLA,1606,ALG,210,,0,319 KM,242,MLA,1606,AMS,580,,0,320 319 KM,242,MLA,1606,ATH,3941,,0,320 KM,242,MLA,1606,BEN,1154,,0,320 KM,242,MLA,1606,BHX,469,,0,320 319 KM,242,MLA,1606,BRS,490,,0,320 KM,242,MLA,1606,BRU,302,,0,320 319 KM,242,MLA,1606,BUD,1489,,0,320 KM,242,MLA,1606,CDG,1382,,0,319 320 KM,242,MLA,1606,CTA,1509,,0,319 320 KM,242,MLA,1606,CWL,488,,0,320 KM,242,MLA,1606,DME,4029,,0,320 KM,242,MLA,1606,DUS,345,,0,319 320 KM,242,MLA,1606,EXT,552,,0,320 KM,242,MLA,1606,FCO,1555,,0,320 319 KM,242,MLA,1606,FRA,340,,0,319 320 KM,242,MLA,1606,GLA,534,,0,320 KM,242,MLA,1606,GVA,1665,,0,320 KM,242,MLA,1606,HAM,342,,0,320 KM,242,MLA,1606,IST,1701,,0,319 737 KM,242,MLA,1606,LCA,1197,Y,0,332 KM,242,MLA,1606,LED,2948,,0,319 320 KM,242,MLA,1606,LGW,502,,0,320 319 KM,242,MLA,1606,LHR,507,,0,320 319 KM,242,MLA,1606,LIN,1529,,0,319 320 KM,242,MLA,1606,LYS,1335,,0,320 319 KM,242,MLA,1606,MAN,478,,0,320 KM,242,MLA,1606,MRS,1353,,0,320 KM,242,MLA,1606,MUC,346,,0,319 320 KM,242,MLA,1606,NCL,521,,0,319 KM,242,MLA,1606,NWI,547,,0,320 KM,242,MLA,1606,ORY,1386,,0,320 319 KM,242,MLA,1606,PRG,1587,,0,320 KM,242,MLA,1606,SAW,4317,,0,320 KM,242,MLA,1606,SVO,2985,,0,319 KM,242,MLA,1606,TIP,1157,,0,320 KM,242,MLA,1606,TXL,351,,0,320 KM,242,MLA,1606,VIE,1613,,0,319 320 KM,242,MLA,1606,ZRH,1678,,0,319 KM,242,MRS,1353,MLA,1606,,0,320 KM,242,MUC,346,CTA,1509,,0,319 KM,242,MUC,346,MLA,1606,,0,319 320 KM,242,NCL,521,MLA,1606,,0,319 KM,242,NWI,547,MLA,1606,,0,320 KM,242,ORY,1386,MLA,1606,,0,320 319 KM,242,PRG,1587,MLA,1606,,0,320 KM,242,SAW,4317,MLA,1606,,0,320 KM,242,SOF,1194,ATH,3941,,0,320 KM,242,SVO,2985,MLA,1606,,0,319 KM,242,TIP,1157,MLA,1606,,0,320 KM,242,TXL,351,MLA,1606,,0,320 KM,242,VIE,1613,MLA,1606,,0,319 320 KM,242,ZRH,1678,MLA,1606,,0,319 KN,10741,ACX,7506,NAY,6341,,0,737 KN,10741,AVA,9849,NAY,6341,,0,737 KN,10741,BAV,6346,NAY,6341,,0,737 KN,10741,BAV,6346,SJW,6347,,0,737 KN,10741,BFJ,9025,NAY,6341,,0,737 KN,10741,CAN,3370,HGH,3386,,0,737 KN,10741,CAN,3370,NAY,6341,,0,737 KN,10741,CIF,6342,NAY,6341,,0,737 KN,10741,CIH,6343,NAY,6341,,0,737 KN,10741,CKG,3393,NAY,6341,,0,737 KN,10741,CSX,3371,NAY,6341,,0,737 KN,10741,CTU,3395,NAY,6341,,0,737 KN,10741,CZX,4109,NAY,6341,,0,737 KN,10741,DAT,6344,NAY,6341,,0,737 KN,10741,DSN,6434,NAY,6341,,0,737 KN,10741,ENY,6367,NAY,6341,,0,737 KN,10741,FUO,7457,NAY,6341,,0,737 KN,10741,HET,6345,NAY,6341,,0,737 KN,10741,HGH,3386,CAN,3370,,0,737 KN,10741,HGH,3386,SJW,6347,,0,737 KN,10741,HLD,3366,NAY,6341,,0,737 KN,10741,HLH,6349,NAY,6341,,0,737 KN,10741,HRB,3400,NAY,6341,,0,737 KN,10741,HSN,6395,NAY,6341,,0,737 KN,10741,IQN,6365,LHW,3378,,0,737 KN,10741,IQN,6365,NAY,6341,,0,737 KN,10741,JGN,6432,JIC,11473,,0,737 KN,10741,JIC,11473,JGN,6432,,0,737 KN,10741,JIC,11473,NAY,6341,,0,737 KN,10741,JUH,9843,NAY,6341,,0,737 KN,10741,JUZ,6382,NAY,6341,,0,737 KN,10741,KHN,3384,NAY,6341,,0,737 KN,10741,KMG,3382,SJW,6347,,0,737 KN,10741,KWE,3394,XIY,3379,,0,737 KN,10741,LHW,3378,IQN,6365,,0,737 KN,10741,LYG,6383,NAY,6341,,0,737 KN,10741,LYI,6385,NAY,6341,,0,737 KN,10741,NAY,6341,ACX,7506,,0,737 KN,10741,NAY,6341,AVA,9849,,0,737 KN,10741,NAY,6341,BAV,6346,,0,737 KN,10741,NAY,6341,BFJ,9025,,0,737 KN,10741,NAY,6341,CAN,3370,,0,737 KN,10741,NAY,6341,CIF,6342,,0,737 KN,10741,NAY,6341,CIH,6343,,0,737 KN,10741,NAY,6341,CKG,3393,,0,737 KN,10741,NAY,6341,CSX,3371,,0,737 KN,10741,NAY,6341,CTU,3395,,0,737 KN,10741,NAY,6341,CZX,4109,,0,737 KN,10741,NAY,6341,DAT,6344,,0,737 KN,10741,NAY,6341,DSN,6434,,0,737 KN,10741,NAY,6341,ENY,6367,,0,737 KN,10741,NAY,6341,FUO,7457,,0,737 KN,10741,NAY,6341,HET,6345,,0,737 KN,10741,NAY,6341,HLD,3366,,0,737 KN,10741,NAY,6341,HLH,6349,,0,737 KN,10741,NAY,6341,HRB,3400,,0,737 KN,10741,NAY,6341,HSN,6395,,0,737 KN,10741,NAY,6341,IQN,6365,,0,737 KN,10741,NAY,6341,JIC,11473,,0,737 KN,10741,NAY,6341,JUH,9843,,0,737 KN,10741,NAY,6341,JUZ,6382,,0,737 KN,10741,NAY,6341,KHN,3384,,0,737 KN,10741,NAY,6341,LYG,6383,,0,737 KN,10741,NAY,6341,LYI,6385,,0,737 KN,10741,NAY,6341,NDG,6413,,0,737 KN,10741,NAY,6341,NGB,3387,,0,737 KN,10741,NAY,6341,NNY,6359,,0,737 KN,10741,NAY,6341,NZH,6954,,0,737 KN,10741,NAY,6341,SHA,3391,,0,737 KN,10741,NAY,6341,SZX,3374,,0,737 KN,10741,NAY,6341,UYN,6368,,0,737 73G KN,10741,NAY,6341,WNZ,6392,,0,737 KN,10741,NAY,6341,WUA,6955,,0,737 KN,10741,NAY,6341,XFN,6360,,0,737 KN,10741,NAY,6341,XIL,6350,,0,737 KN,10741,NAY,6341,XMN,3383,,0,737 KN,10741,NAY,6341,ZHA,6357,,0,737 KN,10741,NDG,6413,NAY,6341,,0,737 KN,10741,NGB,3387,NAY,6341,,0,737 KN,10741,NNY,6359,NAY,6341,,0,737 KN,10741,NZH,6954,NAY,6341,,0,737 KN,10741,SHA,3391,NAY,6341,,0,737 KN,10741,SHA,3391,SJW,6347,,0,737 KN,10741,SJW,6347,BAV,6346,,0,737 KN,10741,SJW,6347,HGH,3386,,0,737 KN,10741,SJW,6347,KMG,3382,,0,737 KN,10741,SJW,6347,SHA,3391,,0,737 KN,10741,SJW,6347,XIY,3379,,0,737 KN,10741,SZX,3374,NAY,6341,,0,737 KN,10741,UYN,6368,NAY,6341,,0,737 73G KN,10741,WNZ,6392,NAY,6341,,0,737 KN,10741,WUA,6955,NAY,6341,,0,737 KN,10741,XFN,6360,NAY,6341,,0,737 KN,10741,XIL,6350,NAY,6341,,0,737 KN,10741,XIY,3379,KWE,3394,,0,737 KN,10741,XIY,3379,SJW,6347,,0,737 KN,10741,XMN,3383,NAY,6341,,0,737 KN,10741,ZHA,6357,NAY,6341,,0,737 KO,109,ANC,3774,ILI,3429,,0, KO,109,ILI,3429,ANC,3774,,0, KQ,3126,ABJ,253,DKR,1084,,0,73W 738 KQ,3126,ABJ,253,NBO,4059,,0,73W 738 KQ,3126,ACC,248,DKR,1084,,0,738 KQ,3126,ACC,248,FNA,1059,,0,738 KQ,3126,ACC,248,NBO,4059,,0,738 KQ,3126,ACC,248,ROB,1063,,0,738 KQ,3126,ADD,1107,JIB,4119,,0,E90 KQ,3126,ADD,1107,NBO,4059,,0,E90 KQ,3126,AMS,580,NBO,4059,,0,772 KQ,3126,APL,984,NBO,4059,,0,E90 E70 KQ,3126,APL,984,POL,985,,0,ER4 KQ,3126,BJM,1120,KGL,1165,,0,E70 KQ,3126,BJM,1120,NBO,4059,,0,E70 E90 KQ,3126,BKK,3885,CAN,3370,,0,763 KQ,3126,BKK,3885,HKG,3077,,0,763 KQ,3126,BKK,3885,NBO,4059,,0,763 KQ,3126,BKO,1044,DKR,1084,,0,73W KQ,3126,BKO,1044,NBO,4059,,0,73W KQ,3126,BLZ,1013,NBO,4059,,0,E90 KQ,3126,BOM,2997,NBO,4059,,0,772 73W KQ,3126,BZV,883,FIH,1020,,0,738 KQ,3126,BZV,883,NBO,4059,,0,738 KQ,3126,CAN,3370,BKK,3885,,0,763 KQ,3126,CAN,3370,NBO,4059,,0,773 KQ,3126,CDG,1382,NBO,4059,,0,763 KQ,3126,COO,245,NBO,4059,,0,738 KQ,3126,DAR,1177,NBO,4059,,0,E90 KQ,3126,DAR,1177,ZNZ,1186,Y,0,AT7 KQ,3126,DEL,3093,NBO,4059,,0,73W KQ,3126,DKR,1084,ABJ,253,,0,73W 738 KQ,3126,DKR,1084,ACC,248,,0,738 KQ,3126,DKR,1084,BKO,1044,,0,73W KQ,3126,DLA,897,NBO,4059,,0,E90 KQ,3126,DXB,2188,NBO,4059,,0,763 KQ,3126,DXB,2188,SVO,2985,Y,0,320 KQ,3126,DZA,915,HAH,912,,0,73W KQ,3126,EBB,1187,NBO,4059,,0,E90 E70 KQ,3126,EDI,535,CDG,1382,Y,0,AR8 KQ,3126,EDL,1138,NBO,4059,,0,733 KQ,3126,FBM,1038,NBO,4059,,0,E90 KQ,3126,FBM,1038,NLA,910,,0,E90 KQ,3126,FIH,1020,BZV,883,,0,738 KQ,3126,FIH,1020,NBO,4059,,0,738 763 73W KQ,3126,FNA,1059,ACC,248,,0,738 KQ,3126,GBE,881,NBO,4059,,0,E90 KQ,3126,HAH,912,NBO,4059,,0,73W E90 KQ,3126,HKG,3077,BKK,3885,,0,763 KQ,3126,HRE,1005,LUN,907,,0,763 KQ,3126,HRE,1005,NBO,4059,,0,E90 E70 KQ,3126,ICN,3930,NBO,4059,Y,0,332 KQ,3126,JED,2072,NBO,4059,Y,0,320 KQ,3126,JIB,4119,ADD,1107,,0,E90 KQ,3126,JIB,4119,NBO,4059,,0,E90 KQ,3126,JNB,813,NBO,4059,,0,738 763 73W KQ,3126,JNB,813,WDH,4105,,0,319 KQ,3126,JRO,1180,MWZ,1183,Y,0,AT7 KQ,3126,JRO,1180,NBO,4059,,0,E70 E90 KQ,3126,JUB,1173,NBO,4059,,0,E90 E70 KQ,3126,KGL,1165,BJM,1120,,0,E70 KQ,3126,KGL,1165,NBO,4059,,0,E90 E70 KQ,3126,KIS,1140,NBO,4059,,0,733 E90 E70 KQ,3126,KRT,1175,NBO,4059,,0,E70 E90 KQ,3126,LAD,951,NBO,4059,,0,738 KQ,3126,LHR,507,NBO,4059,,0,772 KQ,3126,LLW,1016,LUN,907,,0,E90 763 E70 KQ,3126,LLW,1016,NBO,4059,,0,E90 738 763 KQ,3126,LOS,273,COO,245,,0,738 KQ,3126,LOS,273,NBO,4059,,0,738 KQ,3126,LUN,907,HRE,1005,,0,E90 KQ,3126,LUN,907,LLW,1016,,0,738 E90 763 KQ,3126,LUN,907,NBO,4059,,0,763 E90 E70 KQ,3126,LUN,907,WDH,4105,,0,ER3 KQ,3126,LVI,906,HRE,1005,,0,E90 KQ,3126,MBA,1145,NBO,4059,,0,E90 733 KQ,3126,MPM,979,NBO,4059,,0,E90 KQ,3126,MRU,893,NBO,4059,Y,0,319 KQ,3126,MWZ,1183,JRO,1180,Y,0,AT7 KQ,3126,MWZ,1183,NBO,4059,Y,0,AT4 KQ,3126,MYD,5694,NBO,4059,,0,E70 KQ,3126,NBO,4059,ABJ,253,,0,73W 738 KQ,3126,NBO,4059,ACC,248,,0,738 KQ,3126,NBO,4059,ADD,1107,,0,E90 KQ,3126,NBO,4059,AMS,580,,0,772 KQ,3126,NBO,4059,APL,984,,0,E90 E70 KQ,3126,NBO,4059,BJM,1120,,0,E70 E90 KQ,3126,NBO,4059,BKK,3885,,0,763 KQ,3126,NBO,4059,BKO,1044,,0,73W KQ,3126,NBO,4059,BLZ,1013,,0,E90 KQ,3126,NBO,4059,BOM,2997,,0,772 73W 763 KQ,3126,NBO,4059,BZV,883,,0,738 73W KQ,3126,NBO,4059,CAN,3370,,0,773 KQ,3126,NBO,4059,CDG,1382,,0,763 KQ,3126,NBO,4059,DAR,1177,,0,E90 KQ,3126,NBO,4059,DEL,3093,,0,73W KQ,3126,NBO,4059,DLA,897,,0,E90 KQ,3126,NBO,4059,DXB,2188,,0,763 KQ,3126,NBO,4059,DZA,915,,0,73W E90 KQ,3126,NBO,4059,EBB,1187,,0,E90 E70 KQ,3126,NBO,4059,EDL,1138,,0,733 KQ,3126,NBO,4059,FBM,1038,,0,E90 KQ,3126,NBO,4059,FIH,1020,,0,763 738 KQ,3126,NBO,4059,GBE,881,,0,E90 KQ,3126,NBO,4059,HRE,1005,,0,763 E90 E70 KQ,3126,NBO,4059,ICN,3930,Y,0,332 KQ,3126,NBO,4059,JED,2072,Y,0,320 KQ,3126,NBO,4059,JIB,4119,,0,E90 KQ,3126,NBO,4059,JNB,813,,0,738 763 73W KQ,3126,NBO,4059,JRO,1180,,0,E70 E90 KQ,3126,NBO,4059,JUB,1173,,0,E90 E70 KQ,3126,NBO,4059,KGL,1165,,0,E90 E70 KQ,3126,NBO,4059,KIS,1140,,0,733 E90 E70 KQ,3126,NBO,4059,KRT,1175,,0,E70 E90 KQ,3126,NBO,4059,LAD,951,,0,738 KQ,3126,NBO,4059,LHR,507,,0,772 KQ,3126,NBO,4059,LLW,1016,,0,E90 763 E70 KQ,3126,NBO,4059,LOS,273,,0,738 KQ,3126,NBO,4059,LUN,907,,0,E90 738 763 KQ,3126,NBO,4059,LVI,906,,0,E90 KQ,3126,NBO,4059,MBA,1145,,0,733 E90 KQ,3126,NBO,4059,MPM,979,,0,E90 KQ,3126,NBO,4059,MRU,893,Y,0,319 KQ,3126,NBO,4059,MWZ,1183,Y,0,AT4 KQ,3126,NBO,4059,MYD,5694,,0,E70 KQ,3126,NBO,4059,NLA,910,,0,E90 KQ,3126,NBO,4059,NSI,4161,,0,E90 738 KQ,3126,NBO,4059,POL,985,,0,ER4 KQ,3126,NBO,4059,SEZ,994,,0,73W 738 KQ,3126,NBO,4059,TNR,918,,0,E90 738 KQ,3126,NBO,4059,ZNZ,1186,Y,0,AT7 KQ,3126,NLA,910,FBM,1038,,0,E90 KQ,3126,NLA,910,NBO,4059,,0,E90 KQ,3126,NSI,4161,NBO,4059,,0,E90 738 KQ,3126,POL,985,APL,984,,0,ER4 KQ,3126,POL,985,NBO,4059,,0,ER4 KQ,3126,ROB,1063,ACC,248,,0,738 KQ,3126,SEZ,994,NBO,4059,,0,73W 738 KQ,3126,SVO,2985,DXB,2188,Y,0,320 KQ,3126,TNR,918,NBO,4059,,0,E90 738 KQ,3126,WDH,4105,JNB,813,,0,319 KQ,3126,WDH,4105,LUN,907,,0,ER3 KQ,3126,ZNZ,1186,DAR,1177,Y,0,AT7 KQ,3126,ZNZ,1186,NBO,4059,Y,0,AT7 KR,1844,DME,4029,FRU,2912,,0,320 KR,1844,DME,4029,OSS,2913,,0,320 KR,1844,EGO,6156,FRU,2912,,0,320 KR,1844,FRU,2912,DME,4029,,0,320 KR,1844,FRU,2912,EGO,6156,,0,320 KR,1844,FRU,2912,IKT,2937,,0,320 KR,1844,FRU,2912,OVB,4078,,0,320 KR,1844,FRU,2912,SGC,2974,,0,320 KR,1844,FRU,2912,SVX,2975,,0,320 KR,1844,FRU,2912,URC,3399,,0,320 KR,1844,IKT,2937,FRU,2912,,0,320 KR,1844,IKT,2937,OSS,2913,,0,320 KR,1844,OSS,2913,DME,4029,,0,320 KR,1844,OSS,2913,IKT,2937,,0,320 KR,1844,OSS,2913,OVB,4078,,0,320 KR,1844,OSS,2913,SVX,2975,,0,320 KR,1844,OVB,4078,FRU,2912,,0,320 KR,1844,OVB,4078,OSS,2913,,0,320 KR,1844,SGC,2974,FRU,2912,,0,320 KR,1844,SVX,2975,FRU,2912,,0,320 KR,1844,SVX,2975,OSS,2913,,0,320 KR,1844,URC,3399,FRU,2912,,0,320 KS,3935,AKN,3794,ANC,3774,,0,SF3 KS,3935,ANC,3774,AKN,3794,,0,SF3 KS,3935,ANC,3774,ANI,5967,,0,SF3 KS,3935,ANC,3774,CDB,3854,,0,SF3 KS,3935,ANC,3774,DLG,3460,,0,SF3 KS,3935,ANC,3774,MCG,5965,,0,SF3 KS,3935,ANC,3774,SDP,6742,,0,SF3 KS,3935,ANC,3774,SNP,3426,,0,SF3 KS,3935,ANC,3774,STG,3428,,0,SF3 KS,3935,ANC,3774,UNK,7088,,0,SF3 KS,3935,ANI,5967,ANC,3774,,0,SF3 KS,3935,ANI,5967,MCG,5965,,0,SF3 KS,3935,BOS,3448,ISP,3857,,0,SF3 KS,3935,BOS,3448,PBG,3771,,0,SF3 KS,3935,BOS,3448,PQI,3528,,0,SF3 KS,3935,CDB,3854,ANC,3774,,0,SF3 KS,3935,DLG,3460,ANC,3774,,0,SF3 KS,3935,ISP,3857,BOS,3448,,0,SF3 KS,3935,MCG,5965,ANC,3774,,0,SF3 KS,3935,MCG,5965,ANI,5967,,0,SF3 KS,3935,PBG,3771,BOS,3448,,0,SF3 KS,3935,PQI,3528,BOS,3448,,0,SF3 KS,3935,SDP,6742,ANC,3774,,0,SF3 KS,3935,SNP,3426,ANC,3774,,0,SF3 KS,3935,SNP,3426,STG,3428,,0,SF3 KS,3935,STG,3428,ANC,3774,,0,SF3 KS,3935,STG,3428,SNP,3426,,0,SF3 KS,3935,UNK,7088,ANC,3774,,0,SF3 KU,3179,ADD,1107,KWI,2176,,0,73W KU,3179,AMM,2170,KWI,2176,,0,AB6 310 320 KU,3179,AUH,2179,KWI,2176,,0,320 KU,3179,AUH,2179,MCT,2194,,0,320 KU,3179,BAH,2057,KWI,2176,,0,320 KU,3179,BEY,2177,KWI,2176,,0,AB6 320 KU,3179,BKK,3885,KWI,2176,,0,340 KU,3179,BKK,3885,MNL,2397,,0,340 KU,3179,BOM,2997,KWI,2176,,0,777 KU,3179,CAI,1128,KWI,2176,,0,777 340 320 AB6 KU,3179,CDG,1382,FCO,1555,,0,340 KU,3179,CGK,3275,KUL,3304,,0,340 KU,3179,CMB,3024,KWI,2176,,0,AB6 KU,3179,COK,3136,KWI,2176,,0,AB6 KU,3179,DAC,3076,KWI,2176,,0,AB6 KU,3179,DEL,3093,KWI,2176,,0,310 KU,3179,DMM,2064,KWI,2176,,0,AB6 320 KU,3179,DOH,11051,KWI,2176,,0,320 310 KU,3179,DXB,2188,KWI,2176,,0,320 310 AB6 KU,3179,FCO,1555,CDG,1382,,0,340 KU,3179,FCO,1555,KWI,2176,,0,340 KU,3179,FRA,340,GVA,1665,,0,340 KU,3179,FRA,340,KWI,2176,,0,340 KU,3179,GVA,1665,FRA,340,,0,340 KU,3179,HBE,3410,KWI,2176,,0,320 KU,3179,HMB,8235,KWI,2176,,0,320 KU,3179,IKA,4330,KWI,2176,,0,320 KU,3179,ISB,2223,KWI,2176,,0,320 KU,3179,IST,1701,KWI,2176,,0,321 KU,3179,JED,2072,KWI,2176,,0,340 AB6 310 320 KU,3179,JFK,3797,KWI,2176,,0,777 KU,3179,JFK,3797,LHR,507,,0,777 KU,3179,KUL,3304,CGK,3275,,0,340 KU,3179,KUL,3304,KWI,2176,,0,340 KU,3179,KWI,2176,ADD,1107,,0,73W KU,3179,KWI,2176,AMM,2170,,0,AB6 310 320 KU,3179,KWI,2176,AUH,2179,,0,320 KU,3179,KWI,2176,BAH,2057,,0,320 KU,3179,KWI,2176,BEY,2177,,0,AB6 320 KU,3179,KWI,2176,BKK,3885,,0,340 KU,3179,KWI,2176,BOM,2997,,0,777 KU,3179,KWI,2176,CAI,1128,,0,777 340 320 AB6 KU,3179,KWI,2176,CMB,3024,,0,AB6 KU,3179,KWI,2176,COK,3136,,0,AB6 KU,3179,KWI,2176,DAC,3076,,0,AB6 KU,3179,KWI,2176,DEL,3093,,0,310 KU,3179,KWI,2176,DMM,2064,,0,AB6 320 KU,3179,KWI,2176,DOH,11051,,0,320 310 KU,3179,KWI,2176,DXB,2188,,0,320 310 AB6 KU,3179,KWI,2176,FCO,1555,,0,340 KU,3179,KWI,2176,FRA,340,,0,340 KU,3179,KWI,2176,HBE,3410,,0,320 KU,3179,KWI,2176,HMB,8235,,0,320 KU,3179,KWI,2176,IKA,4330,,0,320 KU,3179,KWI,2176,ISB,2223,,0,320 KU,3179,KWI,2176,IST,1701,,0,321 KU,3179,KWI,2176,JED,2072,,0,340 AB6 310 320 KU,3179,KWI,2176,JFK,3797,,0,777 KU,3179,KWI,2176,KUL,3304,,0,340 KU,3179,KWI,2176,LHE,2207,,0,320 KU,3179,KWI,2176,LHR,507,,0,AB6 777 KU,3179,KWI,2176,MAA,3144,,0,310 KU,3179,KWI,2176,MCT,2194,,0,320 KU,3179,KWI,2176,NJF,7490,,0,320 KU,3179,KWI,2176,RUH,2082,,0,320 AB6 310 KU,3179,KWI,2176,SAW,4317,,0,738 KU,3179,KWI,2176,TRV,3153,,0,310 AB6 KU,3179,LHE,2207,KWI,2176,,0,320 KU,3179,LHR,507,JFK,3797,,0,777 KU,3179,LHR,507,KWI,2176,,0,AB6 777 KU,3179,MAA,3144,KWI,2176,,0,310 KU,3179,MCT,2194,AUH,2179,,0,320 KU,3179,MCT,2194,KWI,2176,,0,320 KU,3179,MNL,2397,BKK,3885,,0,340 KU,3179,NJF,7490,KWI,2176,,0,320 KU,3179,RUH,2082,KWI,2176,,0,320 AB6 310 KU,3179,SAH,3980,KWI,2176,,0,320 KU,3179,SAW,4317,KWI,2176,,0,738 KU,3179,TRV,3153,KWI,2176,,0,310 AB6 KX,1682,CYB,1925,GCM,1926,,0,DHT 733 KX,1682,CYB,1925,LYB,4314,,0,DHT KX,1682,GCM,1926,CYB,1925,,0,DHT 733 KX,1682,GCM,1926,HAV,1909,,0,733 KX,1682,GCM,1926,JFK,3797,,0,733 KX,1682,GCM,1926,KIN,1779,,0,733 KX,1682,GCM,1926,LCE,1771,,0,733 KX,1682,GCM,1926,LYB,4314,,0,DHT KX,1682,GCM,1926,MIA,3576,,0,733 KX,1682,GCM,1926,ORD,3830,,0,733 KX,1682,GCM,1926,TPA,3646,,0,733 KX,1682,HAV,1909,GCM,1926,,0,733 KX,1682,JFK,3797,GCM,1926,,0,733 KX,1682,KIN,1779,GCM,1926,,0,733 KX,1682,KIN,1779,MBJ,1780,,0,733 KX,1682,LCE,1771,GCM,1926,,0,733 KX,1682,LYB,4314,CYB,1925,,0,DHT KX,1682,LYB,4314,GCM,1926,,0,DHT KX,1682,MBJ,1780,GCM,1926,,0,733 KX,1682,MIA,3576,CYB,1925,,0,733 KX,1682,MIA,3576,GCM,1926,,0,733 KX,1682,ORD,3830,GCM,1926,,0,733 KX,1682,TPA,3646,GCM,1926,,0,733 KY,13704,CAN,3370,KMG,3382,,0,73G KY,13704,CGO,3375,KMG,3382,,0,73G KY,13704,CKG,3393,HYN,6384,,0,73G KY,13704,CKG,3393,KMG,3382,,0,73G KY,13704,CKG,3393,NTG,5475,,0,73G KY,13704,CSX,3371,HYN,6384,,0,73G KY,13704,CSX,3371,KMG,3382,,0,73G KY,13704,CTU,3395,KMG,3382,,0,73G KY,13704,CZX,4109,KMG,3382,,0,73G KY,13704,HGH,3386,KMG,3382,,0,73G KY,13704,HRB,3400,TNA,4108,,0,73G KY,13704,HYN,6384,CKG,3393,,0,73G KY,13704,HYN,6384,CSX,3371,,0,73G KY,13704,JHG,3381,KMG,3382,,0,73G KY,13704,JHG,3381,LJG,4033,,0,73G KY,13704,KMG,3382,CAN,3370,,0,73G KY,13704,KMG,3382,CGO,3375,,0,73G KY,13704,KMG,3382,CKG,3393,,0,73G KY,13704,KMG,3382,CSX,3371,,0,73G KY,13704,KMG,3382,CTU,3395,,0,73G KY,13704,KMG,3382,CZX,4109,,0,73G KY,13704,KMG,3382,HGH,3386,,0,73G KY,13704,KMG,3382,JHG,3381,,0,73G KY,13704,KMG,3382,LJG,4033,,0,73G KY,13704,KMG,3382,NKG,3388,,0,73G KY,13704,KMG,3382,NNG,3373,,0,73G KY,13704,KMG,3382,PVG,3406,,0,73G KY,13704,KMG,3382,SZX,3374,,0,73G KY,13704,KMG,3382,TNA,4108,,0,73G KY,13704,KMG,3382,WUH,3376,,0,73G KY,13704,KMG,3382,XIY,3379,,0,73G KY,13704,KMG,3382,XMN,3383,,0,73G KY,13704,LJG,4033,JHG,3381,,0,73G KY,13704,LJG,4033,KMG,3382,,0,73G KY,13704,LJG,4033,NNG,3373,,0,73G KY,13704,LJG,4033,XIY,3379,,0,73G KY,13704,NKG,3388,KMG,3382,,0,73G KY,13704,NNG,3373,KMG,3382,,0,73G KY,13704,NNG,3373,LJG,4033,,0,73G KY,13704,NNG,3373,XMN,3383,,0,73G KY,13704,NTG,5475,CKG,3393,,0,73G KY,13704,PVG,3406,KMG,3382,,0,73G KY,13704,SZX,3374,KMG,3382,,0,738 KY,13704,TNA,4108,HRB,3400,,0,73G KY,13704,TNA,4108,KMG,3382,,0,73G KY,13704,WUH,3376,KMG,3382,,0,73G KY,13704,WUH,3376,YTY,8876,,0,73G KY,13704,XIY,3379,KMG,3382,,0,73G KY,13704,XIY,3379,LJG,4033,,0,73G KY,13704,XMN,3383,KMG,3382,,0,73G KY,13704,XMN,3383,NNG,3373,,0,73G KY,13704,YTY,8876,WUH,3376,,0,73G L6,16942,ABJ,253,BKO,1044,,0,73G L6,16942,ABJ,253,COO,245,,0,73G L6,16942,BKO,1044,ABJ,253,,0,73G L6,16942,BKO,1044,COO,245,,0,73G L6,16942,BKO,1044,NKC,1094,,0,73G L6,16942,BZV,883,COO,245,,0,73G L6,16942,CDG,1382,CMN,1074,,0,73G L6,16942,CKY,4162,DKR,1084,,0,73G L6,16942,CMN,1074,CDG,1382,,0,73G L6,16942,CMN,1074,NKC,1094,,0,73G L6,16942,CMN,1074,OUZ,9824,,0,73G L6,16942,COO,245,ABJ,253,,0,73G L6,16942,COO,245,BKO,1044,,0,73G L6,16942,COO,245,BZV,883,,0,73G L6,16942,COO,245,PNR,886,,0,73G L6,16942,DKR,1084,CKY,4162,,0,73G L6,16942,DKR,1084,NKC,1094,,0,73G L6,16942,LPA,1054,NDB,1097,,0,73G L6,16942,NDB,1097,LPA,1054,,0,73G L6,16942,NDB,1097,NKC,1094,,0,73G L6,16942,NDB,1097,OUZ,9824,,0,73G L6,16942,NKC,1094,BKO,1044,,0,73G L6,16942,NKC,1094,CMN,1074,,0,73G L6,16942,NKC,1094,DKR,1084,,0,73G L6,16942,NKC,1094,NDB,1097,,0,73G L6,16942,NKC,1094,OUZ,9824,,0,73G L6,16942,OUZ,9824,CMN,1074,,0,73G L6,16942,OUZ,9824,NDB,1097,,0,73G L6,16942,OUZ,9824,NKC,1094,,0,73G L6,16942,PNR,886,COO,245,,0,73G LA,3200,ADZ,2749,BOG,2709,Y,0,320 LA,3200,ADZ,2749,CLO,2715,Y,0,320 LA,3200,AEP,2442,BHI,2501,Y,0,320 LA,3200,AEP,2442,BRC,2513,,0,320 LA,3200,AEP,2442,COR,2443,Y,0,320 LA,3200,AEP,2442,CRD,2487,Y,0,320 LA,3200,AEP,2442,IGR,2471,,0,320 LA,3200,AEP,2442,MDZ,2452,,0,320 LA,3200,AEP,2442,NQN,2509,Y,0,320 LA,3200,AEP,2442,RGL,2496,Y,0,320 LA,3200,AEP,2442,SCL,2650,,0,320 LA,3200,AEP,2442,SLA,2476,,0,320 LA,3200,AEP,2442,TUC,2460,,0,320 LA,3200,AEP,2442,UAQ,2461,,0,320 LA,3200,AEP,2442,USH,2497,Y,0,320 LA,3200,AKL,2006,SCL,2650,,0,343 LA,3200,AKL,2006,SYD,3361,,0,343 340 LA,3200,ANF,2651,CJC,2645,,0,320 LA,3200,ANF,2651,IQQ,2649,Y,0,319 320 LA,3200,ANF,2651,LSC,2662,Y,0,320 LA,3200,ANF,2651,SCL,2650,,0,320 319 LA,3200,APO,2726,EOH,2729,Y,0,DH2 LA,3200,AQP,2802,CUZ,2812,Y,0,319 LA,3200,AQP,2802,JUL,2792,Y,0,319 LA,3200,AQP,2802,LIM,2789,,0,319 LA,3200,ARI,2641,IQQ,2649,Y,0,320 LA,3200,ARI,2641,SCL,2650,,0,320 LA,3200,ASU,2699,SCL,2650,Y,0,320 LA,3200,AUA,2895,BOG,2709,Y,0,320 LA,3200,BAQ,2710,BOG,2709,Y,0,320 LA,3200,BBA,2642,PMC,2665,,0,320 LA,3200,BBA,2642,SCL,2650,Y,0,320 LA,3200,BGA,2708,BOG,2709,Y,0,320 LA,3200,BHI,2501,AEP,2442,Y,0,320 LA,3200,BOG,2709,ADZ,2749,Y,0,320 LA,3200,BOG,2709,AUA,2895,Y,0,320 LA,3200,BOG,2709,BAQ,2710,Y,0,320 LA,3200,BOG,2709,BGA,2708,Y,0,320 LA,3200,BOG,2709,CLO,2715,Y,0,320 LA,3200,BOG,2709,CTG,2714,Y,0,320 LA,3200,BOG,2709,CUC,2713,Y,0,320 LA,3200,BOG,2709,DFW,3670,Y,0,319 LA,3200,BOG,2709,EYP,6055,Y,0,320 LA,3200,BOG,2709,GRU,2564,Y,0,763 LA,3200,BOG,2709,IBE,2724,Y,0,DH2 LA,3200,BOG,2709,LET,2728,Y,0,320 LA,3200,BOG,2709,LIM,2789,Y,0,319 763 LA,3200,BOG,2709,MDE,2745,Y,0,320 LA,3200,BOG,2709,MIA,3576,Y,0,757 763 LA,3200,BOG,2709,MTR,2731,Y,0,320 LA,3200,BOG,2709,NVA,2734,Y,0,DH2 LA,3200,BOG,2709,PEI,2739,Y,0,320 LA,3200,BOG,2709,PUU,2706,Y,0,DH2 LA,3200,BOG,2709,SCL,2650,Y,0,763 LA,3200,BOG,2709,SMR,2748,Y,0,320 LA,3200,BOG,2709,UIB,2753,Y,0,DH2 LA,3200,BOG,2709,VUP,2755,Y,0,320 LA,3200,BOG,2709,VVC,2756,Y,0,DH2 LA,3200,BRC,2513,AEP,2442,,0,320 LA,3200,CCP,2656,SCL,2650,,0,320 319 LA,3200,CCS,2851,GYE,2673,,0,763 LA,3200,CCS,2851,LIM,2789,Y,0,319 LA,3200,CCS,2851,MIA,3576,,0,763 LA,3200,CCS,2851,SCL,2650,,0,763 LA,3200,CIX,2785,LIM,2789,Y,0,320 319 LA,3200,CJA,6066,LIM,2789,Y,0,319 LA,3200,CJC,2645,LSC,2662,Y,0,320 LA,3200,CJC,2645,SCL,2650,,0,320 LA,3200,CLO,2715,ADZ,2749,Y,0,320 LA,3200,CLO,2715,BOG,2709,Y,0,320 LA,3200,CLO,2715,MIA,3576,Y,0,738 LA,3200,CLO,2715,UIO,2688,Y,0,320 LA,3200,COR,2443,AEP,2442,Y,0,320 LA,3200,COR,2443,LIM,2789,Y,0,320 LA,3200,COR,2443,SCL,2650,,0,320 LA,3200,CPO,4312,SCL,2650,,0,319 320 LA,3200,CRD,2487,AEP,2442,Y,0,320 LA,3200,CTG,2714,BOG,2709,Y,0,320 LA,3200,CUC,2713,BOG,2709,Y,0,320 LA,3200,CUN,1852,LIM,2789,Y,0,320 LA,3200,CUN,1852,MEX,1824,Y,0,737 LA,3200,CUN,1852,MIA,3576,,0,763 LA,3200,CUN,1852,SCL,2650,,0,763 LA,3200,CUZ,2812,AQP,2802,Y,0,319 LA,3200,CUZ,2812,JUL,2792,,0,319 LA,3200,CUZ,2812,LIM,2789,,0,320 319 LA,3200,CUZ,2812,PEM,2808,Y,0,319 LA,3200,DFW,3670,BOG,2709,Y,0,319 LA,3200,DFW,3670,LIM,2789,Y,0,763 LA,3200,DFW,3670,SCL,2650,Y,0,763 LA,3200,EOH,2729,APO,2726,Y,0,DH2 LA,3200,EOH,2729,IBE,2724,Y,0,DH2 LA,3200,EOH,2729,MTR,2731,Y,0,DH2 LA,3200,EOH,2729,PEI,2739,Y,0,DH2 LA,3200,EYP,6055,BOG,2709,Y,0,320 LA,3200,EZE,3988,GIG,2560,Y,0,320 LA,3200,EZE,3988,GRU,2564,Y,0,320 330 LA,3200,EZE,3988,GYE,2673,Y,0,319 LA,3200,EZE,3988,LIM,2789,,0,763 LA,3200,EZE,3988,SCL,2650,,0,320 763 787 319 LA,3200,FRA,340,MAD,1229,,0,787 LA,3200,GIG,2560,EZE,3988,Y,0,320 LA,3200,GIG,2560,SCL,2650,,0,320 319 LA,3200,GRU,2564,BOG,2709,Y,0,763 LA,3200,GRU,2564,EZE,3988,Y,0,330 320 LA,3200,GRU,2564,LIM,2789,Y,0,320 763 LA,3200,GRU,2564,MAD,1229,Y,0,330 LA,3200,GRU,2564,MVD,2816,Y,0,320 LA,3200,GRU,2564,SCL,2650,,0,319 763 320 LA,3200,GYE,2673,CCS,2851,,0,763 LA,3200,GYE,2673,EZE,3988,Y,0,319 LA,3200,GYE,2673,LIM,2789,,0,763 LA,3200,GYE,2673,MAD,1229,Y,0,763 343 346 LA,3200,GYE,2673,SCL,2650,,0,319 763 LA,3200,HAV,1909,LIM,2789,Y,0,319 LA,3200,IBE,2724,BOG,2709,Y,0,DH2 LA,3200,IBE,2724,EOH,2729,Y,0,DH2 LA,3200,IGR,2471,AEP,2442,,0,320 LA,3200,IGU,2554,LIM,2789,,0,319 LA,3200,IPC,2657,PPT,4075,,0,763 LA,3200,IPC,2657,SCL,2650,,0,763 LA,3200,IQQ,2649,ANF,2651,,0,320 LA,3200,IQQ,2649,ARI,2641,,0,320 LA,3200,IQQ,2649,LPB,2762,,0,320 LA,3200,IQQ,2649,SCL,2650,,0,320 319 LA,3200,IQQ,2649,VVI,2771,,0,320 LA,3200,IQT,2801,LIM,2789,Y,0,320 319 LA,3200,IQT,2801,TPP,2806,Y,0,319 LA,3200,JFK,3797,LIM,2789,,0,763 LA,3200,JFK,3797,SCL,2650,,0,787 LA,3200,JUL,2792,AQP,2802,,0,319 LA,3200,JUL,2792,CUZ,2812,Y,0,319 LA,3200,JUL,2792,LIM,2789,Y,0,319 LA,3200,LAX,3484,LIM,2789,,0,763 LA,3200,LET,2728,BOG,2709,Y,0,320 LA,3200,LIM,2789,AQP,2802,Y,0,319 320 LA,3200,LIM,2789,BOG,2709,Y,0,319 763 LA,3200,LIM,2789,CCS,2851,Y,0,319 LA,3200,LIM,2789,CIX,2785,Y,0,320 319 LA,3200,LIM,2789,CJA,6066,Y,0,319 LA,3200,LIM,2789,COR,2443,Y,0,320 LA,3200,LIM,2789,CUN,1852,Y,0,320 LA,3200,LIM,2789,CUZ,2812,,0,319 LA,3200,LIM,2789,DFW,3670,Y,0,763 LA,3200,LIM,2789,EZE,3988,,0,763 LA,3200,LIM,2789,GRU,2564,Y,0,319 763 320 LA,3200,LIM,2789,GYE,2673,,0,763 LA,3200,LIM,2789,HAV,1909,Y,0,319 LA,3200,LIM,2789,IGU,2554,,0,319 LA,3200,LIM,2789,IQT,2801,,0,319 LA,3200,LIM,2789,JFK,3797,,0,763 LA,3200,LIM,2789,JUL,2792,Y,0,319 LA,3200,LIM,2789,LAX,3484,,0,763 LA,3200,LIM,2789,LPB,2762,Y,0,319 LA,3200,LIM,2789,MAD,1229,Y,0,763 346 343 LA,3200,LIM,2789,MEX,1824,Y,0,738 763 LA,3200,LIM,2789,MIA,3576,,0,320 LA,3200,LIM,2789,PCL,2781,Y,0,319 320 LA,3200,LIM,2789,PEM,2808,Y,0,319 LA,3200,LIM,2789,PIU,2809,Y,0,319 LA,3200,LIM,2789,PUJ,1760,Y,0,320 LA,3200,LIM,2789,SCL,2650,,0,763 320 319 LA,3200,LIM,2789,TBP,2796,,0,320 LA,3200,LIM,2789,TCQ,2807,Y,0,319 320 LA,3200,LIM,2789,TPP,2806,Y,0,320 319 LA,3200,LIM,2789,TRU,2804,Y,0,320 319 LA,3200,LIM,2789,UIO,2688,,0,320 LA,3200,LIM,2789,VVI,2771,,0,319 LA,3200,LPB,2762,IQQ,2649,,0,320 LA,3200,LPB,2762,LIM,2789,,0,319 LA,3200,LPB,2762,VVI,2771,Y,0,319 LA,3200,LSC,2662,ANF,2651,Y,0,320 LA,3200,LSC,2662,CJC,2645,Y,0,320 LA,3200,LSC,2662,SCL,2650,Y,0,320 319 LA,3200,MAD,1229,FRA,340,,0,787 LA,3200,MAD,1229,GRU,2564,Y,0,330 LA,3200,MAD,1229,GYE,2673,,0,320 LA,3200,MAD,1229,LIM,2789,Y,0,763 346 343 LA,3200,MAD,1229,SCL,2650,,0,787 LA,3200,MAD,1229,UIO,2688,Y,0,346 343 LA,3200,MDE,2745,BOG,2709,Y,0,320 LA,3200,MDE,2745,MIA,3576,Y,0,738 LA,3200,MDE,2745,UIO,2688,Y,0,320 LA,3200,MDZ,2452,AEP,2442,,0,320 LA,3200,MDZ,2452,SCL,2650,,0,320 319 LA,3200,MEX,1824,LIM,2789,,0,763 LA,3200,MEX,1824,MTY,1825,Y,0,737 LA,3200,MEX,1824,SCL,2650,,0,763 LA,3200,MHC,9774,PMC,2665,,0,320 LA,3200,MIA,3576,BOG,2709,Y,0,763 757 LA,3200,MIA,3576,CCS,2851,,0,763 LA,3200,MIA,3576,CLO,2715,Y,0,738 LA,3200,MIA,3576,CUN,1852,,0,763 LA,3200,MIA,3576,LIM,2789,Y,0,763 757 LA,3200,MIA,3576,MDE,2745,Y,0,738 LA,3200,MIA,3576,PUJ,1760,,0,763 LA,3200,MIA,3576,SCL,2650,,0,763 LA,3200,MPN,579,PUQ,2647,,0,320 LA,3200,MTR,2731,BOG,2709,Y,0,320 LA,3200,MTR,2731,EOH,2729,Y,0,DH2 LA,3200,MVD,2816,GRU,2564,Y,0,320 LA,3200,MVD,2816,SCL,2650,,0,320 763 LA,3200,NQN,2509,AEP,2442,Y,0,320 LA,3200,NVA,2734,BOG,2709,Y,0,DH2 LA,3200,PCL,2781,LIM,2789,Y,0,319 320 LA,3200,PEI,2739,BOG,2709,Y,0,320 LA,3200,PEI,2739,EOH,2729,Y,0,DH2 LA,3200,PEM,2808,CUZ,2812,Y,0,319 LA,3200,PEM,2808,LIM,2789,Y,0,319 LA,3200,PIU,2809,LIM,2789,Y,0,319 LA,3200,PMC,2665,BBA,2642,,0,320 LA,3200,PMC,2665,MHC,9774,,0,320 LA,3200,PMC,2665,PUQ,2647,,0,320 LA,3200,PMC,2665,SCL,2650,,0,320 LA,3200,PPT,4075,IPC,2657,,0,763 LA,3200,PUJ,1760,LIM,2789,Y,0,320 LA,3200,PUJ,1760,MIA,3576,,0,763 LA,3200,PUJ,1760,SCL,2650,,0,763 LA,3200,PUQ,2647,PMC,2665,,0,320 LA,3200,PUQ,2647,RGL,2496,,0,320 LA,3200,PUQ,2647,SCL,2650,,0,320 LA,3200,PUU,2706,BOG,2709,Y,0,DH2 LA,3200,RGL,2496,AEP,2442,Y,0,320 LA,3200,RGL,2496,MPN,579,,0,320 LA,3200,SCL,2650,AEP,2442,,0,320 LA,3200,SCL,2650,AKL,2006,,0,340 343 LA,3200,SCL,2650,ANF,2651,,0,320 319 LA,3200,SCL,2650,ARI,2641,,0,320 LA,3200,SCL,2650,ASU,2699,Y,0,320 LA,3200,SCL,2650,BBA,2642,Y,0,320 LA,3200,SCL,2650,BOG,2709,Y,0,763 LA,3200,SCL,2650,CCP,2656,,0,320 319 LA,3200,SCL,2650,CCS,2851,,0,763 LA,3200,SCL,2650,CJC,2645,,0,320 LA,3200,SCL,2650,COR,2443,,0,320 LA,3200,SCL,2650,CPO,4312,,0,319 320 LA,3200,SCL,2650,CUN,1852,,0,763 LA,3200,SCL,2650,DFW,3670,Y,0,763 LA,3200,SCL,2650,EZE,3988,,0,320 763 787 319 LA,3200,SCL,2650,GIG,2560,,0,320 319 LA,3200,SCL,2650,GRU,2564,,0,763 320 319 LA,3200,SCL,2650,GYE,2673,,0,763 LA,3200,SCL,2650,IPC,2657,,0,763 LA,3200,SCL,2650,IQQ,2649,,0,320 LA,3200,SCL,2650,JFK,3797,,0,787 LA,3200,SCL,2650,LIM,2789,,0,763 320 319 LA,3200,SCL,2650,LSC,2662,Y,0,320 319 LA,3200,SCL,2650,MAD,1229,,0,787 LA,3200,SCL,2650,MDZ,2452,,0,320 319 LA,3200,SCL,2650,MEX,1824,,0,763 LA,3200,SCL,2650,MIA,3576,,0,763 LA,3200,SCL,2650,MVD,2816,,0,320 763 LA,3200,SCL,2650,PMC,2665,,0,320 LA,3200,SCL,2650,PUJ,1760,,0,763 LA,3200,SCL,2650,PUQ,2647,,0,320 LA,3200,SCL,2650,SYD,3361,Y,0,744 LA,3200,SCL,2650,UIO,2688,,0,319 LA,3200,SCL,2650,ZCO,2664,,0,319 LA,3200,SCL,2650,ZOS,2658,,0,319 LA,3200,SLA,2476,AEP,2442,Y,0,320 LA,3200,SMR,2748,BOG,2709,Y,0,320 LA,3200,SYD,3361,AKL,2006,,0,343 LA,3200,SYD,3361,SCL,2650,Y,0,744 LA,3200,TBP,2796,LIM,2789,,0,320 LA,3200,TCQ,2807,LIM,2789,Y,0,319 320 LA,3200,TPP,2806,IQT,2801,Y,0,319 LA,3200,TPP,2806,LIM,2789,Y,0,320 319 LA,3200,TRU,2804,LIM,2789,Y,0,320 319 LA,3200,TUC,2460,AEP,2442,Y,0,320 LA,3200,UAQ,2461,MDZ,2452,,0,320 LA,3200,UIB,2753,BOG,2709,Y,0,DH2 LA,3200,UIO,2688,CLO,2715,Y,0,320 LA,3200,UIO,2688,GYE,2673,,0,319 LA,3200,UIO,2688,LIM,2789,,0,320 LA,3200,UIO,2688,MAD,1229,Y,0,346 LA,3200,UIO,2688,MDE,2745,Y,0,320 LA,3200,USH,2497,AEP,2442,Y,0,320 LA,3200,VUP,2755,BOG,2709,Y,0,320 LA,3200,VVC,2756,BOG,2709,Y,0,DH2 LA,3200,VVI,2771,IQQ,2649,,0,320 LA,3200,VVI,2771,LIM,2789,Y,0,319 LA,3200,VVI,2771,LPB,2762,,0,319 LA,3200,ZAL,2667,SCL,2650,,0,319 LA,3200,ZCO,2664,SCL,2650,,0,319 LA,3200,ZOS,2658,ZAL,2667,,0,319 LC,5354,BZV,883,CDG,1382,,0,757 LC,5354,BZV,883,COO,245,,0,737 LC,5354,BZV,883,DLA,897,,0,737 LC,5354,BZV,883,OLL,\N,,0,737 LC,5354,BZV,883,PNR,886,,0,737 LC,5354,CDG,1382,BZV,883,,0,757 LC,5354,CDG,1382,PNR,886,,0,757 LC,5354,COO,245,BZV,883,,0,737 LC,5354,COO,245,DLA,897,,0,737 LC,5354,COO,245,PNR,886,,0,737 LC,5354,DLA,897,BZV,883,,0,737 LC,5354,DLA,897,COO,245,,0,737 LC,5354,OLL,\N,BZV,883,,0,737 LC,5354,PNR,886,BZV,883,,0,737 LC,5354,PNR,886,CDG,1382,,0,757 LC,5354,PNR,886,COO,245,,0,737 LF,2419,BKK,3885,VTE,3120,,0,737 LF,2419,LPQ,3115,VTE,3120,,0,737 LF,2419,VTE,3120,BKK,3885,,0,737 LF,2419,VTE,3120,LPQ,3115,,0,737 LG,3329,ACE,1055,FUE,1051,,0,73W LG,3329,ACE,1055,LUX,629,,0,73H LG,3329,ADB,1706,LUX,629,,0,73H LG,3329,AGA,1064,LUX,629,,0,73W 73H LG,3329,AGP,1230,BVE,1278,,0,73W LG,3329,AGP,1230,LUX,629,,0,73W ER4 73H LG,3329,AJA,1324,LUX,629,,0,73W LG,3329,ANG,1277,FSC,1323,,0,DH4 LG,3329,ARN,737,LUX,629,,0,ER4 LG,3329,AYT,1688,LUX,629,,0,73H LG,3329,BCN,1218,LUX,629,,0,DH4 LG,3329,BIA,1321,LUX,629,,0,73W LG,3329,BVC,1103,SID,1102,,0,73W LG,3329,CAG,1519,LUX,629,,0,DH4 LG,3329,CDG,1382,LUX,629,,0,ER4 DH4 LG,3329,CFU,1460,LUX,629,,0,73H LG,3329,CLY,1322,LUX,629,,0,DH4 LG,3329,CPH,609,LUX,629,,0,ER4 DH4 LG,3329,DBV,1200,LUX,629,,0,DH4 LG,3329,DJE,293,LUX,629,,0,73H LG,3329,DJE,293,NBE,7447,,0,73W LG,3329,DUB,599,LUX,629,,0,DH4 LG,3329,DUS,345,LUX,629,Y,0,CNJ LG,3329,FAO,1626,LUX,629,,0,73H LG,3329,FAO,1626,XRY,1226,,0,73H LG,3329,FCO,1555,LUX,629,,0,DH4 LG,3329,FNC,4091,LUX,629,,0,73H LG,3329,FRA,340,LUX,629,,0,ER4 DH4 LG,3329,FSC,1323,ANG,1277,,0,DH4 LG,3329,FSC,1323,LUX,629,,0,DH4 LG,3329,FUE,1051,LUX,629,,0,73W 73H LG,3329,GVA,1665,LUX,629,,0,ER4 LG,3329,HAM,342,SCN,349,,0,DH4 LG,3329,HER,1452,LUX,629,,0,73H LG,3329,IBZ,1225,LUX,629,,0,DH4 LG,3329,KGS,1458,LUX,629,,0,73W LG,3329,LCY,503,LUX,629,,0,DH4 LG,3329,LIS,1638,LUX,629,,0,73W 73H LG,3329,LPA,1054,LUX,629,,0,73H LG,3329,LUX,629,ACE,1055,,0,73W 73H LG,3329,LUX,629,ADB,1706,,0,73H LG,3329,LUX,629,AGA,1064,,0,73W 73H LG,3329,LUX,629,AGP,1230,,0,73W ER4 LG,3329,LUX,629,AJA,1324,,0,73W LG,3329,LUX,629,ARN,737,,0,ER4 LG,3329,LUX,629,AYT,1688,,0,73H LG,3329,LUX,629,BCN,1218,,0,DH4 LG,3329,LUX,629,BIA,1321,,0,73W LG,3329,LUX,629,BVC,1103,,0,73W LG,3329,LUX,629,CAG,1519,,0,DH4 LG,3329,LUX,629,CDG,1382,,0,ER4 DH4 LG,3329,LUX,629,CFU,1460,,0,73H LG,3329,LUX,629,CLY,1322,,0,DH4 LG,3329,LUX,629,CPH,609,,0,ER4 DH4 LG,3329,LUX,629,CTA,1509,,0,73H LG,3329,LUX,629,DBV,1200,,0,DH4 LG,3329,LUX,629,DJE,293,,0,73H 73W LG,3329,LUX,629,DUB,599,,0,DH4 LG,3329,LUX,629,DUS,345,Y,0,CNJ LG,3329,LUX,629,FAO,1626,,0,73H LG,3329,LUX,629,FCO,1555,,0,DH4 LG,3329,LUX,629,FNC,4091,,0,73H LG,3329,LUX,629,FRA,340,,0,ER4 DH4 LG,3329,LUX,629,FSC,1323,,0,DH4 LG,3329,LUX,629,FUE,1051,,0,73H LG,3329,LUX,629,GVA,1665,,0,ER4 LG,3329,LUX,629,HER,1452,,0,73H LG,3329,LUX,629,IBZ,1225,,0,DH4 LG,3329,LUX,629,KGS,1458,,0,73W LG,3329,LUX,629,LCY,503,,0,DH4 LG,3329,LUX,629,LIS,1638,,0,73W 73H LG,3329,LUX,629,LPA,1054,,0,73H LG,3329,LUX,629,MAD,1229,,0,ER4 LG,3329,LUX,629,MLA,1606,,0,ER4 LG,3329,LUX,629,MUC,346,,0,DH4 ER4 LG,3329,LUX,629,MXP,1524,,0,DH4 ER4 LG,3329,LUX,629,NAP,1561,,0,DH4 LG,3329,LUX,629,NCE,1354,,0,DH4 LG,3329,LUX,629,OPO,1636,,0,73H 73W LG,3329,LUX,629,PMI,3998,,0,73H 73W LG,3329,LUX,629,RAK,1075,,0,73H LG,3329,LUX,629,RHO,1472,,0,73H 73W LG,3329,LUX,629,SCN,349,,0,DH4 LG,3329,LUX,629,TFS,1056,,0,73H 73W LG,3329,LUX,629,TXL,351,,0,DH4 ER4 LG,3329,LUX,629,VAR,1196,,0,73H LG,3329,LUX,629,VIE,1613,,0,DH4 ER4 LG,3329,LUX,629,XRY,1226,,0,73H LG,3329,MAD,1229,LUX,629,,0,ER4 LG,3329,MLA,1606,LUX,629,,0,ER4 LG,3329,MUC,346,LUX,629,,0,DH4 ER4 LG,3329,MXP,1524,LUX,629,,0,DH4 ER4 LG,3329,NAP,1561,LUX,629,,0,DH4 LG,3329,NBE,7447,LUX,629,,0,73W LG,3329,NCE,1354,LUX,629,,0,DH4 LG,3329,OPO,1636,LUX,629,,0,73H 73W LG,3329,PMI,3998,LUX,629,,0,73H 73W LG,3329,RAK,1075,LUX,629,,0,73H LG,3329,RHO,1472,LUX,629,,0,73H 73W LG,3329,SCN,349,HAM,342,,0,DH4 LG,3329,SCN,349,LUX,629,,0,DH4 ER4 LG,3329,SCN,349,TXL,351,,0,DH4 LG,3329,SID,1102,LUX,629,,0,73W LG,3329,TFS,1056,LUX,629,,0,73H 73W LG,3329,TXL,351,LUX,629,,0,DH4 ER4 LG,3329,TXL,351,SCN,349,,0,DH4 ER4 LG,3329,VAR,1196,LUX,629,,0,73H LG,3329,VIE,1613,LUX,629,,0,DH4 ER4 LG,3329,XRY,1226,AGP,1230,,0,73H LG,3329,XRY,1226,LUX,629,,0,73H LH,3320,ABJ,253,BRU,302,Y,0,332 LH,3320,ABJ,253,LFW,298,Y,0,333 LH,3320,ABJ,253,OUA,246,Y,0,333 LH,3320,ABV,260,FRA,340,,0,343 LH,3320,ABV,260,SSG,891,,0,343 LH,3320,ABZ,532,FRA,340,,0,735 LH,3320,ACC,248,FRA,340,Y,0,333 LH,3320,ADB,1706,MUC,346,,0,319 321 320 LH,3320,ADD,1107,DAR,1177,Y,0,73W LH,3320,ADD,1107,EBB,1187,Y,0,73W LH,3320,ADD,1107,FRA,340,Y,0,788 LH,3320,ADD,1107,HRE,1005,Y,0,788 LH,3320,ADD,1107,JED,2072,,0,333 LH,3320,ADD,1107,MBA,1145,Y,0,DH8 LH,3320,AGP,1230,DUS,345,,0,320 LH,3320,AGP,1230,FRA,340,,0,321 320 LH,3320,AGP,1230,MUC,346,,0,320 321 LH,3320,ALA,2908,FRA,340,,0,333 LH,3320,ALA,2908,TSE,2910,,0,333 LH,3320,ALG,210,FRA,340,,0,319 LH,3320,AMM,2170,FRA,340,,0,321 LH,3320,AMS,580,EWR,3494,Y,0,752 763 LH,3320,AMS,580,FRA,340,,0,733 735 320 319 32A 321 LH,3320,AMS,580,IAD,3714,Y,0,763 LH,3320,AMS,580,IAH,3550,Y,0,777 LH,3320,AMS,580,MUC,346,Y,0,E95 CR9 LH,3320,AMS,580,ORD,3830,Y,0,763 LH,3320,AOI,4309,MUC,346,Y,0,CR9 E95 LH,3320,ARN,737,DUS,345,Y,0,736 717 73W 73H LH,3320,ARN,737,FRA,340,,0,321 32A LH,3320,ARN,737,MUC,346,,0,320 CR9 321 319 LH,3320,ARN,737,TXL,351,Y,0,73H 717 73W 736 LH,3320,ASB,2976,GYD,2922,,0,333 343 LH,3320,ATH,3941,DUS,345,Y,0,320 LH,3320,ATH,3941,FRA,340,,0,321 LH,3320,ATH,3941,MUC,346,,0,321 LH,3320,ATH,3941,TXL,351,Y,0,320 LH,3320,ATL,3682,FRA,340,,0,343 M1F LH,3320,ATL,3682,IAD,3714,Y,0,CRJ LH,3320,ATL,3682,ORD,3830,Y,0,CR7 LH,3320,AUH,2179,FRA,340,,0,333 LH,3320,AUH,2179,MCT,2194,,0,333 LH,3320,AYT,1688,DUS,345,,0,320 LH,3320,BAH,2057,DOH,11051,,0,333 LH,3320,BCN,1218,EWR,3494,Y,0,752 LH,3320,BCN,1218,FRA,340,,0,321 320 319 32A LH,3320,BCN,1218,MUC,346,,0,321 319 320 E95 LH,3320,BCN,1218,TXL,351,,0,320 LH,3320,BEG,1739,FRA,340,,0,320 32A 319 321 LH,3320,BEG,1739,MUC,346,Y,0,E95 LH,3320,BEY,2177,FRA,340,,0,32A 321 320 LH,3320,BFS,465,EWR,3494,Y,0,752 LH,3320,BGO,636,FRA,340,Y,0,735 E90 LH,3320,BHX,469,DUS,345,Y,0,CR9 LH,3320,BHX,469,EWR,3494,Y,0,752 LH,3320,BHX,469,FRA,340,,0,319 733 32A 321 320 LH,3320,BHX,469,MUC,346,Y,0,E95 LH,3320,BIA,1321,FRA,340,,0,E90 LH,3320,BIO,1216,FRA,340,,0,321 320 32A 319 LH,3320,BIO,1216,MUC,346,,0,319 E95 320 LH,3320,BJM,1120,NBO,4059,Y,0,332 LH,3320,BKK,3885,FRA,340,,0,346 LH,3320,BKK,3885,KBV,3174,Y,0,333 LH,3320,BKK,3885,MUC,346,Y,0,747 LH,3320,BLL,608,FRA,340,,0,733 735 LH,3320,BLQ,1538,FRA,340,,0,32A 735 321 319 733 320 LH,3320,BLQ,1538,MUC,346,,0,E95 LH,3320,BLR,3131,FRA,340,,0,74H LH,3320,BOG,2709,FRA,340,,0,346 LH,3320,BOM,2997,FRA,340,,0,744 LH,3320,BOM,2997,MUC,346,,0,333 LH,3320,BOS,3448,FRA,340,,0,744 346 LH,3320,BOS,3448,MUC,346,,0,333 LH,3320,BRE,353,FRA,340,,0,319 733 321 735 E90 LH,3320,BRE,353,MUC,346,,0,320 E95 319 321 LH,3320,BRI,1501,MUC,346,Y,0,E95 LH,3320,BRU,302,ABJ,253,Y,0,333 LH,3320,BRU,302,BJM,1120,Y,0,332 LH,3320,BRU,302,COO,245,Y,0,332 LH,3320,BRU,302,DKR,1084,Y,0,333 LH,3320,BRU,302,DLA,897,Y,0,332 333 LH,3320,BRU,302,EWR,3494,Y,0,764 777 LH,3320,BRU,302,FNA,1059,Y,0,333 LH,3320,BRU,302,FRA,340,,0,321 735 E90 733 CR7 319 320 32A LH,3320,BRU,302,HAJ,352,Y,0,DH4 LH,3320,BRU,302,HAM,342,Y,0,AR1 DH4 319 LH,3320,BRU,302,IAD,3714,Y,0,777 332 LH,3320,BRU,302,JFK,3797,Y,0,333 LH,3320,BRU,302,KGL,1165,Y,0,332 LH,3320,BRU,302,LAD,951,Y,0,333 LH,3320,BRU,302,LIN,1529,Y,0,AR1 319 LH,3320,BRU,302,MUC,346,,0,E95 319 320 LH,3320,BRU,302,MXP,1524,Y,0,319 AR1 LH,3320,BRU,302,NSI,4161,Y,0,332 LH,3320,BRU,302,OUA,246,Y,0,333 LH,3320,BRU,302,TXL,351,Y,0,319 AR1 320 LH,3320,BRU,302,VNO,3959,Y,0,AR1 319 LH,3320,BRU,302,YUL,146,Y,0,333 LH,3320,BSL,1423,FRA,340,,0,CR7 LH,3320,BSL,1423,HAM,342,Y,0,AR1 LH,3320,BSL,1423,MUC,346,Y,0,CR7 CR9 LH,3320,BUD,1489,DUS,345,,0,319 LH,3320,BUD,1489,FRA,340,,0,733 320 321 735 32A LH,3320,BUD,1489,MUC,346,,0,320 E95 CR9 319 321 LH,3320,CAG,1519,MUC,346,,0,E95 LH,3320,CAI,1128,FRA,340,,0,321 32A LH,3320,CAI,1128,MUC,346,Y,0,738 LH,3320,CCS,2851,FRA,340,,0,333 LH,3320,CDG,1382,DUS,345,,0,CR9 319 320 LH,3320,CDG,1382,EWR,3494,Y,0,764 752 763 LH,3320,CDG,1382,FRA,340,,0,319 321 32A 735 320 733 LH,3320,CDG,1382,IAD,3714,Y,0,763 LH,3320,CDG,1382,MUC,346,,0,E95 320 321 319 LH,3320,CDG,1382,ORD,3830,Y,0,763 LH,3320,CDG,1382,TXL,351,,0,320 LH,3320,CDG,1382,YUL,146,Y,0,77W LH,3320,CDG,1382,YYZ,193,Y,0,77W LH,3320,CGN,344,MUC,346,,0,321 319 320 E95 LH,3320,CGN,344,VIE,1613,Y,0,100 F70 LH,3320,CKY,4162,DKR,1084,Y,0,333 LH,3320,CLJ,1652,MUC,346,Y,0,E95 LH,3320,CLO,2715,BOG,2709,Y,0,320 LH,3320,CLT,3876,MUC,346,,0,346 LH,3320,CMN,1074,FRA,340,,0,321 LH,3320,CNX,3931,BKK,3885,Y,0,AB6 LH,3320,COO,245,ABJ,253,Y,0,332 LH,3320,CPH,609,DUS,345,Y,0,CR9 CR2 LH,3320,CPH,609,FRA,340,,0,32A 319 733 321 320 LH,3320,CPH,609,MUC,346,Y,0,CR9 E95 320 321 319 LH,3320,CPH,609,OSL,644,Y,0,321 738 320 LH,3320,CPH,609,TXL,351,Y,0,320 CR2 321 319 CR9 LH,3320,CPH,609,YYZ,193,Y,0,763 LH,3320,CTA,1509,MLA,1606,Y,0,319 LH,3320,CTA,1509,MUC,346,,0,E95 321 LH,3320,CTU,3395,FRA,340,Y,0,330 LH,3320,CWB,2545,LDB,2581,Y,0,320 LH,3320,DAR,1177,NBO,4059,Y,0,333 LH,3320,DAR,1177,ZNZ,1186,Y,0,73W DH8 LH,3320,DBV,1200,DUS,345,Y,0,319 LH,3320,DBV,1200,FRA,340,Y,0,319 320 735 LH,3320,DBV,1200,MUC,346,,0,319 E95 320 LH,3320,DEL,3093,FRA,340,,0,74H LH,3320,DEL,3093,MUC,346,,0,333 346 LH,3320,DEN,3751,FRA,340,,0,744 LH,3320,DFW,3670,FRA,340,,0,333 LH,3320,DKR,1084,BRU,302,Y,0,333 LH,3320,DKR,1084,CKY,4162,Y,0,333 LH,3320,DLA,897,BRU,302,Y,0,332 333 LH,3320,DLA,897,FIH,1020,Y,0,333 LH,3320,DLA,897,NSI,4161,Y,0,332 LH,3320,DME,4029,FRA,340,,0,32A 321 320 LH,3320,DME,4029,MUC,346,,0,321 320 319 LH,3320,DMM,2064,FRA,340,Y,0,73H LH,3320,DMM,2064,KWI,2176,,0,343 LH,3320,DOH,11051,BAH,2057,,0,333 LH,3320,DOH,11051,FRA,340,,0,333 343 LH,3320,DOK,2940,MUC,346,Y,0,CR7 CR9 LH,3320,DRS,338,FRA,340,,0,735 733 32A E90 LH,3320,DRS,338,MUC,346,,0,E95 LH,3320,DTM,373,MUC,346,,0,319 LH,3320,DTW,3645,FRA,340,,0,343 LH,3320,DUB,599,EWR,3494,Y,0,752 LH,3320,DUB,599,FRA,340,,0,321 LH,3320,DUB,599,MUC,346,,0,320 319 LH,3320,DUS,345,AGP,1230,,0,320 LH,3320,DUS,345,ARN,737,Y,0,736 717 73W 73H LH,3320,DUS,345,ATH,3941,Y,0,320 LH,3320,DUS,345,AYT,1688,,0,320 LH,3320,DUS,345,BHX,469,Y,0,CR9 LH,3320,DUS,345,BUD,1489,,0,319 LH,3320,DUS,345,CDG,1382,,0,CR9 319 320 LH,3320,DUS,345,CPH,609,Y,0,CR9 CR2 LH,3320,DUS,345,DBV,1200,Y,0,319 LH,3320,DUS,345,EWR,3494,,0,343 LH,3320,DUS,345,FCO,1555,,0,320 LH,3320,DUS,345,FRA,340,,0,319 320 CR7 E90 321 LH,3320,DUS,345,GLA,534,Y,0,CR9 LH,3320,DUS,345,GOT,687,Y,0,CR9 LH,3320,DUS,345,GRZ,1609,Y,0,DH4 LH,3320,DUS,345,HAM,342,,0,320 319 LH,3320,DUS,345,LED,2948,,0,319 320 LH,3320,DUS,345,LHR,507,,0,320 CR9 LH,3320,DUS,345,LNZ,1611,Y,0,DH4 LH,3320,DUS,345,MAN,478,Y,0,319 CR9 LH,3320,DUS,345,MLA,1606,Y,0,319 320 LH,3320,DUS,345,MUC,346,,0,321 320 319 LH,3320,DUS,345,NAP,1561,Y,0,319 CR9 LH,3320,DUS,345,NCE,1354,,0,320 319 CR9 LH,3320,DUS,345,NCL,521,Y,0,CR9 LH,3320,DUS,345,NRT,2279,Y,0,788 LH,3320,DUS,345,ORD,3830,,0,343 LH,3320,DUS,345,OSL,644,Y,0,73G 73W 738 736 LH,3320,DUS,345,OTP,1657,Y,0,CR9 LH,3320,DUS,345,PEK,3364,Y,0,330 LH,3320,DUS,345,SKG,1486,Y,0,321 LH,3320,DUS,345,SPU,1206,Y,0,319 LH,3320,DUS,345,TXL,351,,0,320 319 CR9 LH,3320,DUS,345,VIE,1613,,0,320 319 CR9 LH,3320,DUS,345,VKO,2988,,0,320 LH,3320,DUS,345,VLC,1246,,0,319 320 LH,3320,DUS,345,WAW,679,Y,0,E75 LH,3320,DUS,345,ZRH,1678,,0,320 319 CR9 LH,3320,DXB,2188,FRA,340,,0,343 LH,3320,DXB,2188,MUC,346,,0,333 LH,3320,EBB,1187,BRU,302,Y,0,332 LH,3320,EBB,1187,KGL,1165,Y,0,73W LH,3320,EBL,3989,FRA,340,,0,319 LH,3320,EDI,535,EWR,3494,Y,0,752 LH,3320,EDI,535,FRA,340,,0,321 32A 320 319 LH,3320,ESB,1682,MUC,346,,0,321 320 LH,3320,EWR,3494,AMS,580,Y,0,752 763 LH,3320,EWR,3494,BCN,1218,Y,0,752 LH,3320,EWR,3494,BFS,465,Y,0,752 LH,3320,EWR,3494,BHX,469,Y,0,752 LH,3320,EWR,3494,BRU,302,Y,0,764 777 LH,3320,EWR,3494,CDG,1382,Y,0,764 752 763 LH,3320,EWR,3494,DUB,599,Y,0,752 LH,3320,EWR,3494,DUS,345,,0,343 LH,3320,EWR,3494,EDI,535,Y,0,752 LH,3320,EWR,3494,FCO,1555,Y,0,764 LH,3320,EWR,3494,FRA,340,,0,744 LH,3320,EWR,3494,GLA,534,Y,0,752 LH,3320,EWR,3494,HAM,342,Y,0,752 LH,3320,EWR,3494,LHR,507,Y,0,763 752 777 LH,3320,EWR,3494,MAD,1229,Y,0,752 LH,3320,EWR,3494,MAN,478,Y,0,752 LH,3320,EWR,3494,MSY,3861,Y,0,320 E70 LH,3320,EWR,3494,MUC,346,,0,346 LH,3320,EWR,3494,MXP,1524,Y,0,764 LH,3320,EWR,3494,SNN,603,Y,0,752 LH,3320,EWR,3494,STR,350,Y,0,752 LH,3320,EWR,3494,TXL,351,Y,0,752 LH,3320,EZE,3988,FRA,340,,0,744 LH,3320,FAO,1626,FRA,340,,0,32A 321 320 LH,3320,FAO,1626,MUC,346,,0,321 LH,3320,FCO,1555,DUS,345,,0,320 LH,3320,FCO,1555,EWR,3494,Y,0,764 LH,3320,FCO,1555,FRA,340,,0,321 320 LH,3320,FCO,1555,MUC,346,,0,321 319 320 LH,3320,FCO,1555,YYZ,193,Y,0,333 LH,3320,FDH,382,FRA,340,Y,0,CR7 LH,3320,FIH,1020,BRU,302,Y,0,333 LH,3320,FIH,1020,DLA,897,Y,0,333 LH,3320,FLR,1563,FRA,340,Y,0,E90 LH,3320,FLR,1563,MUC,346,,0,E95 LH,3320,FMO,341,FRA,340,Y,0,CR7 LH,3320,FMO,341,MUC,346,Y,0,E95 CR9 LH,3320,FNA,1059,ROB,1063,Y,0,333 LH,3320,FRA,340,ABV,260,,0,343 LH,3320,FRA,340,ABZ,532,,0,735 LH,3320,FRA,340,ACC,248,Y,0,333 LH,3320,FRA,340,ADD,1107,Y,0,788 LH,3320,FRA,340,AGP,1230,,0,321 320 LH,3320,FRA,340,ALA,2908,,0,333 LH,3320,FRA,340,ALG,210,,0,319 LH,3320,FRA,340,AMM,2170,,0,321 LH,3320,FRA,340,AMS,580,,0,735 320 319 733 32A 321 LH,3320,FRA,340,ARN,737,,0,321 32A LH,3320,FRA,340,ATH,3941,,0,321 LH,3320,FRA,340,ATL,3682,,0,343 LH,3320,FRA,340,AUH,2179,,0,333 LH,3320,FRA,340,BCN,1218,,0,321 320 319 32A LH,3320,FRA,340,BEG,1739,,0,320 32A 319 321 LH,3320,FRA,340,BEY,2177,,0,32A 321 320 LH,3320,FRA,340,BGO,636,Y,0,735 E90 LH,3320,FRA,340,BHX,469,,0,733 319 32A 321 320 LH,3320,FRA,340,BIA,1321,,0,E90 LH,3320,FRA,340,BIO,1216,,0,320 32A 319 321 LH,3320,FRA,340,BKK,3885,,0,346 LH,3320,FRA,340,BLL,608,,0,735 733 LH,3320,FRA,340,BLQ,1538,,0,735 321 319 733 320 LH,3320,FRA,340,BLR,3131,,0,74H LH,3320,FRA,340,BOG,2709,,0,346 LH,3320,FRA,340,BOM,2997,,0,744 LH,3320,FRA,340,BOS,3448,,0,744 346 LH,3320,FRA,340,BRE,353,,0,733 319 321 735 E90 LH,3320,FRA,340,BRU,302,,0,E90 733 735 CR7 319 321 320 32A LH,3320,FRA,340,BSL,1423,,0,CR7 LH,3320,FRA,340,BUD,1489,,0,320 733 321 735 32A LH,3320,FRA,340,CAI,1128,,0,32A 321 LH,3320,FRA,340,CCS,2851,,0,333 LH,3320,FRA,340,CDG,1382,,0,321 32A 735 319 320 733 LH,3320,FRA,340,CMN,1074,,0,321 LH,3320,FRA,340,CPH,609,,0,319 733 32A 321 320 LH,3320,FRA,340,CTU,3395,Y,0,330 LH,3320,FRA,340,DBV,1200,Y,0,319 320 735 LH,3320,FRA,340,DEL,3093,,0,74H LH,3320,FRA,340,DEN,3751,,0,744 LH,3320,FRA,340,DFW,3670,,0,333 LH,3320,FRA,340,DME,4029,,0,32A 321 320 LH,3320,FRA,340,DMM,2064,Y,0,73H LH,3320,FRA,340,DOH,11051,,0,333 343 LH,3320,FRA,340,DRS,338,,0,735 733 32A E90 LH,3320,FRA,340,DTW,3645,,0,343 LH,3320,FRA,340,DUB,599,,0,321 LH,3320,FRA,340,DUS,345,,0,319 320 CR7 E90 321 LH,3320,FRA,340,DXB,2188,,0,343 LH,3320,FRA,340,EBL,3989,,0,319 LH,3320,FRA,340,EDI,535,,0,321 32A 320 319 LH,3320,FRA,340,EWR,3494,,0,744 LH,3320,FRA,340,EZE,3988,,0,744 LH,3320,FRA,340,FAO,1626,,0,32A 321 320 LH,3320,FRA,340,FCO,1555,,0,321 320 LH,3320,FRA,340,FDH,382,Y,0,CR7 LH,3320,FRA,340,FLR,1563,Y,0,E90 LH,3320,FRA,340,FMO,341,Y,0,CR7 LH,3320,FRA,340,GDN,668,,0,319 321 32A 320 LH,3320,FRA,340,GIG,2560,,0,744 LH,3320,FRA,340,GOJ,4274,,0,319 LH,3320,FRA,340,GOT,687,,0,319 32A 733 321 LH,3320,FRA,340,GRU,2564,,0,74H LH,3320,FRA,340,GRZ,1609,,0,E90 733 LH,3320,FRA,340,GVA,1665,,0,CR7 735 E90 LH,3320,FRA,340,GWT,410,Y,0,E90 LH,3320,FRA,340,GYD,2922,,0,333 343 LH,3320,FRA,340,HAJ,352,,0,319 735 733 32A LH,3320,FRA,340,HAM,342,,0,321 320 319 32A LH,3320,FRA,340,HEL,421,,0,321 32A 320 LH,3320,FRA,340,HER,1452,Y,0,320 LH,3320,FRA,340,HKG,3077,,0,74H LH,3320,FRA,340,HND,2359,,0,744 LH,3320,FRA,340,IAD,3714,,0,333 74H LH,3320,FRA,340,IAH,3550,,0,388 LH,3320,FRA,340,IBZ,1225,,0,321 319 LH,3320,FRA,340,ICN,3930,,0,74H LH,3320,FRA,340,IKA,4330,,0,343 LH,3320,FRA,340,INN,1610,Y,0,DH4 LH,3320,FRA,340,IST,1701,,0,321 LH,3320,FRA,340,JED,2072,,0,333 LH,3320,FRA,340,JFK,3797,,0,388 744 LH,3320,FRA,340,JNB,813,,0,388 LH,3320,FRA,340,KBP,2939,,0,32A 319 320 LH,3320,FRA,340,KIX,3992,,0,744 LH,3320,FRA,340,KRK,669,,0,735 321 733 32A 319 LH,3320,FRA,340,KTW,671,Y,0,735 CR7 733 LH,3320,FRA,340,KUF,2993,,0,319 LH,3320,FRA,340,KUL,3304,,0,346 LH,3320,FRA,340,KWI,2176,,0,343 LH,3320,FRA,340,LAD,951,,0,343 LH,3320,FRA,340,LAX,3484,,0,74H LH,3320,FRA,340,LCA,1197,,0,32A 321 LH,3320,FRA,340,LCY,503,Y,0,E90 LH,3320,FRA,340,LED,2948,,0,32A 321 320 LH,3320,FRA,340,LEJ,348,,0,CR7 E90 735 LH,3320,FRA,340,LHR,507,,0,32A 319 320 321 733 LH,3320,FRA,340,LIN,1529,,0,321 E90 320 319 32A LH,3320,FRA,340,LIS,1638,,0,321 32A LH,3320,FRA,340,LJU,1569,Y,0,CR9 319 LH,3320,FRA,340,LNZ,1611,,0,CR7 E90 LH,3320,FRA,340,LOS,273,,0,333 LH,3320,FRA,340,LYS,1335,,0,32A 319 733 321 735 LH,3320,FRA,340,MAA,3144,,0,343 LH,3320,FRA,340,MAD,1229,,0,32A 321 319 320 LH,3320,FRA,340,MAN,478,,0,319 321 32A 320 733 LH,3320,FRA,340,MCO,3878,,0,744 LH,3320,FRA,340,MEX,1824,,0,74H LH,3320,FRA,340,MIA,3576,,0,388 LH,3320,FRA,340,MLA,1606,,0,321 32A LH,3320,FRA,340,MPL,1359,,0,735 LH,3320,FRA,340,MRS,1353,,0,E90 320 32A 319 LH,3320,FRA,340,MSQ,2954,Y,0,E90 LH,3320,FRA,340,MUC,346,,0,320 321 32A 319 LH,3320,FRA,340,MXP,1524,,0,320 319 321 32A 733 LH,3320,FRA,340,NAP,1561,,0,321 32A 320 LH,3320,FRA,340,NCE,1354,,0,32A 319 321 320 LH,3320,FRA,340,NGO,3942,,0,343 LH,3320,FRA,340,NKG,3388,,0,343 LH,3320,FRA,340,NUE,347,,0,319 735 CR7 321 733 E90 32A 320 LH,3320,FRA,340,OLB,1520,Y,0,E90 LH,3320,FRA,340,OPO,1636,,0,321 LH,3320,FRA,340,ORD,3830,,0,74H 744 LH,3320,FRA,340,OSL,644,,0,319 32A 320 LH,3320,FRA,340,OTP,1657,,0,320 733 32A 319 LH,3320,FRA,340,PEK,3364,,0,388 LH,3320,FRA,340,PHL,3752,,0,343 LH,3320,FRA,340,PMI,3998,,0,319 32A LH,3320,FRA,340,PMO,1512,Y,0,E90 LH,3320,FRA,340,PNQ,3017,Y,0,73H LH,3320,FRA,340,POZ,674,,0,CR7 LH,3320,FRA,340,PRG,1587,,0,321 733 32A 320 LH,3320,FRA,340,PRN,1742,Y,0,319 LH,3320,FRA,340,PUY,1203,Y,0,319 320 LH,3320,FRA,340,PVG,3406,,0,388 744 LH,3320,FRA,340,RIX,3953,,0,321 320 LH,3320,FRA,340,RUH,2082,,0,333 LH,3320,FRA,340,RZE,675,,0,CR7 LH,3320,FRA,340,SEA,3577,,0,333 343 LH,3320,FRA,340,SFO,3469,,0,744 388 LH,3320,FRA,340,SHE,4144,,0,343 LH,3320,FRA,340,SIN,3316,,0,388 LH,3320,FRA,340,SKG,1486,Y,0,321 LH,3320,FRA,340,SOF,1194,,0,320 32A 319 321 LH,3320,FRA,340,SPU,1206,,0,319 LH,3320,FRA,340,STR,350,,0,319 735 320 32A LH,3320,FRA,340,SVG,666,,0,319 733 LH,3320,FRA,340,SZG,1612,Y,0,100 LH,3320,FRA,340,TLL,415,,0,321 320 32A LH,3320,FRA,340,TLS,1273,,0,319 735 733 LH,3320,FRA,340,TLV,1590,,0,321 LH,3320,FRA,340,TRN,1526,,0,735 E90 CR7 LH,3320,FRA,340,TSE,2910,,0,333 LH,3320,FRA,340,TUN,287,,0,319 LH,3320,FRA,340,TXL,351,,0,321 320 32A LH,3320,FRA,340,VCE,1551,,0,321 32A 319 LH,3320,FRA,340,VIE,1613,,0,321 LH,3320,FRA,340,VKO,2988,,0,32A 321 LH,3320,FRA,340,VLC,1246,,0,32A 319 LH,3320,FRA,340,VNO,3959,,0,321 320 LH,3320,FRA,340,VRN,1550,Y,0,E95 LH,3320,FRA,340,WAW,679,,0,321 320 32A 319 LH,3320,FRA,340,WRO,680,,0,CR7 32A LH,3320,FRA,340,YOW,100,Y,0,333 LH,3320,FRA,340,YUL,146,Y,0,333 LH,3320,FRA,340,YVR,156,,0,744 LH,3320,FRA,340,YYC,178,Y,0,77W LH,3320,FRA,340,YYZ,193,,0,744 LH,3320,FRA,340,ZAD,1209,Y,0,319 LH,3320,FRA,340,ZAG,1208,,0,733 32A LH,3320,FRA,340,ZRH,1678,,0,733 E90 735 319 320 321 LH,3320,GDN,668,FRA,340,,0,319 321 32A 320 LH,3320,GDN,668,MUC,346,,0,E95 LH,3320,GIG,2560,FRA,340,,0,744 LH,3320,GLA,534,DUS,345,Y,0,CR9 LH,3320,GLA,534,EWR,3494,Y,0,752 LH,3320,GOA,1528,MUC,346,,0,CR9 CR7 LH,3320,GOJ,4274,FRA,340,,0,319 LH,3320,GOT,687,DUS,345,Y,0,CR9 LH,3320,GOT,687,FRA,340,,0,32A 319 733 321 LH,3320,GOT,687,MUC,346,Y,0,E95 CR9 LH,3320,GRU,2564,CWB,2545,Y,0,320 LH,3320,GRU,2564,FRA,340,,0,74H LH,3320,GRU,2564,MUC,346,,0,346 LH,3320,GRZ,1609,DUS,345,Y,0,DH4 LH,3320,GRZ,1609,FRA,340,,0,E90 733 LH,3320,GRZ,1609,MUC,346,Y,0,CR9 CR7 LH,3320,GRZ,1609,STR,350,Y,0,DH4 LH,3320,GVA,1665,FRA,340,,0,735 CR7 LH,3320,GVA,1665,MUC,346,,0,E95 CR9 LH,3320,GVA,1665,YUL,146,Y,0,333 LH,3320,GWT,410,FRA,340,Y,0,E90 LH,3320,GWT,410,MUC,346,Y,0,E95 LH,3320,GYD,2922,ASB,2976,,0,333 343 LH,3320,GYD,2922,FRA,340,,0,333 343 LH,3320,HAJ,352,BRU,302,Y,0,DH4 LH,3320,HAJ,352,FRA,340,,0,735 319 733 32A LH,3320,HAJ,352,MUC,346,,0,319 320 321 E95 LH,3320,HAJ,352,ZRH,1678,Y,0,100 AR1 320 LH,3320,HAM,342,BRU,302,Y,0,319 AR1 DH4 LH,3320,HAM,342,BSL,1423,Y,0,AR1 LH,3320,HAM,342,DUS,345,,0,320 319 LH,3320,HAM,342,EWR,3494,Y,0,752 LH,3320,HAM,342,FRA,340,,0,319 321 320 32A LH,3320,HAM,342,LIS,1638,Y,0,320 319 321 LH,3320,HAM,342,MUC,346,,0,321 320 319 LH,3320,HAM,342,SCN,349,Y,0,DH4 LH,3320,HAM,342,VIE,1613,Y,0,320 321 LH,3320,HAM,342,WAW,679,Y,0,E75 E70 LH,3320,HAM,342,ZRH,1678,Y,0,321 320 LH,3320,HEL,421,FRA,340,,0,321 32A 320 LH,3320,HEL,421,MUC,346,,0,320 319 LH,3320,HER,1452,FRA,340,Y,0,320 LH,3320,HER,1452,MUC,346,Y,0,320 LH,3320,HKG,3077,FRA,340,,0,74H LH,3320,HKG,3077,MUC,346,,0,346 LH,3320,HKT,3179,BKK,3885,Y,0,333 330 LH,3320,HND,2359,FRA,340,,0,744 LH,3320,HND,2359,MUC,346,,0,346 LH,3320,HRE,1005,ADD,1107,Y,0,788 LH,3320,HRE,1005,LUN,907,Y,0,788 LH,3320,IAD,3714,AMS,580,Y,0,763 LH,3320,IAD,3714,ATL,3682,Y,0,CRJ LH,3320,IAD,3714,BRU,302,Y,0,777 332 LH,3320,IAD,3714,CDG,1382,Y,0,763 LH,3320,IAD,3714,FRA,340,,0,333 74H LH,3320,IAD,3714,LHR,507,Y,0,752 777 LH,3320,IAD,3714,MSY,3861,Y,0,738 739 LH,3320,IAD,3714,MUC,346,,0,333 LH,3320,IAH,3550,AMS,580,Y,0,777 LH,3320,IAH,3550,FRA,340,,0,388 LH,3320,IAH,3550,LHR,507,Y,0,763 788 LH,3320,IAH,3550,MSY,3861,Y,0,73G 320 ERJ 738 CR7 LH,3320,IBZ,1225,FRA,340,,0,321 319 LH,3320,ICN,3930,FRA,340,,0,74H LH,3320,ICN,3930,MUC,346,,0,346 LH,3320,IKA,4330,FRA,340,,0,343 LH,3320,INN,1610,FRA,340,Y,0,DH4 LH,3320,IST,1701,FRA,340,,0,321 LH,3320,IST,1701,MUC,346,,0,321 320 LH,3320,JED,2072,ADD,1107,,0,333 LH,3320,JED,2072,FRA,340,,0,333 LH,3320,JFK,3797,BRU,302,Y,0,333 LH,3320,JFK,3797,FRA,340,,0,388 744 LH,3320,JFK,3797,MSY,3861,Y,0,E90 LH,3320,JFK,3797,MUC,346,,0,333 LH,3320,JNB,813,FRA,340,,0,388 LH,3320,JNB,813,MUC,346,Y,0,346 343 332 LH,3320,JRO,1180,ADD,1107,Y,0,763 LH,3320,KBP,2939,FRA,340,,0,321 32A 319 320 LH,3320,KBP,2939,MUC,346,,0,319 320 321 LH,3320,KBV,3174,BKK,3885,Y,0,333 LH,3320,KGL,1165,EBB,1187,Y,0,332 LH,3320,KGL,1165,NBO,4059,Y,0,332 LH,3320,KIV,1735,MUC,346,Y,0,E95 LH,3320,KIX,3992,FRA,340,,0,744 LH,3320,KIX,3992,NRT,2279,,0,744 LH,3320,KLX,1456,MUC,346,Y,0,319 LH,3320,KRK,669,FRA,340,,0,735 321 733 32A 319 LH,3320,KRK,669,MUC,346,Y,0,319 320 E95 LH,3320,KTW,671,FRA,340,Y,0,735 CR7 733 LH,3320,KUF,2993,FRA,340,,0,319 LH,3320,KUL,3304,FRA,340,,0,346 LH,3320,KWI,2176,DMM,2064,,0,343 LH,3320,KWI,2176,FRA,340,,0,343 LH,3320,LAD,951,FIH,1020,Y,0,333 LH,3320,LAD,951,FRA,340,,0,343 LH,3320,LAX,3484,FRA,340,,0,74H LH,3320,LAX,3484,LHR,507,Y,0,777 LH,3320,LAX,3484,MUC,346,,0,346 LH,3320,LCA,1197,FRA,340,,0,32A 321 LH,3320,LCA,1197,MUC,346,,0,321 LH,3320,LCY,503,FRA,340,Y,0,E90 LH,3320,LED,2948,DUS,345,,0,319 320 LH,3320,LED,2948,FRA,340,,0,320 32A 321 LH,3320,LED,2948,MUC,346,,0,320 321 LH,3320,LEJ,348,FRA,340,,0,E90 CR7 735 LH,3320,LEJ,348,MUC,346,Y,0,CR9 E95 CR7 LH,3320,LEJ,348,VIE,1613,Y,0,DH4 LH,3320,LFW,298,BRU,302,Y,0,333 LH,3320,LHR,507,DUS,345,,0,320 CR9 LH,3320,LHR,507,EWR,3494,Y,0,763 777 752 LH,3320,LHR,507,FRA,340,,0,319 320 32A 321 733 LH,3320,LHR,507,IAD,3714,Y,0,752 777 LH,3320,LHR,507,IAH,3550,Y,0,763 788 LH,3320,LHR,507,LAX,3484,Y,0,777 LH,3320,LHR,507,MUC,346,,0,319 320 321 LH,3320,LHR,507,ORD,3830,Y,0,763 LH,3320,LHR,507,SFO,3469,Y,0,777 LH,3320,LHR,507,YEG,49,Y,0,763 LH,3320,LHR,507,YHZ,73,Y,0,763 LH,3320,LHR,507,YOW,100,Y,0,763 LH,3320,LHR,507,YUL,146,Y,0,77W LH,3320,LHR,507,YVR,156,Y,0,77W LH,3320,LHR,507,YYC,178,Y,0,333 LH,3320,LHR,507,YYT,189,Y,0,319 LH,3320,LHR,507,YYZ,193,Y,0,77L 763 77W 333 LH,3320,LIM,2789,UIO,2688,,0,M1F LH,3320,LIN,1529,BRU,302,Y,0,AR1 319 LH,3320,LIN,1529,FRA,340,,0,320 321 E90 319 32A LH,3320,LIS,1638,FRA,340,,0,321 32A LH,3320,LIS,1638,HAM,342,Y,0,319 320 321 LH,3320,LIS,1638,MUC,346,,0,321 LH,3320,LJU,1569,FRA,340,Y,0,CR9 319 LH,3320,LJU,1569,MUC,346,Y,0,CR9 CR2 LH,3320,LNZ,1611,DUS,345,Y,0,DH4 LH,3320,LNZ,1611,FRA,340,,0,CR7 E90 LH,3320,LOS,273,FRA,340,,0,333 LH,3320,LOS,273,PHC,275,,0,333 LH,3320,LUN,907,HRE,1005,Y,0,788 LH,3320,LUX,629,MUC,346,Y,0,CR9 CR7 LH,3320,LUX,629,SCN,349,Y,0,DH4 LH,3320,LUX,629,TXL,351,Y,0,DH4 ER4 LH,3320,LWO,2945,MUC,346,Y,0,CR7 CR9 LH,3320,LYS,1335,FRA,340,,0,32A 319 733 321 735 LH,3320,LYS,1335,MUC,346,Y,0,E95 CR9 LH,3320,MAA,3144,FRA,340,,0,343 LH,3320,MAD,1229,EWR,3494,Y,0,752 LH,3320,MAD,1229,FRA,340,,0,321 32A 319 320 LH,3320,MAD,1229,MUC,346,,0,321 320 319 LH,3320,MAN,478,DUS,345,Y,0,319 CR9 LH,3320,MAN,478,EWR,3494,Y,0,752 LH,3320,MAN,478,FRA,340,,0,32A 319 321 320 733 LH,3320,MAN,478,MUC,346,,0,320 319 LH,3320,MBA,1145,JRO,1180,Y,0,DH8 LH,3320,MCO,3878,FRA,340,,0,744 LH,3320,MCT,2194,AUH,2179,,0,333 LH,3320,MEX,1824,FRA,340,,0,74H LH,3320,MEX,1824,MUC,346,,0,346 LH,3320,MIA,3576,FRA,340,,0,388 LH,3320,MLA,1606,CTA,1509,Y,0,319 LH,3320,MLA,1606,DUS,345,Y,0,319 320 LH,3320,MLA,1606,FRA,340,,0,321 32A LH,3320,MLA,1606,MUC,346,,0,319 320 LH,3320,MPL,1359,FRA,340,,0,735 LH,3320,MRS,1353,FRA,340,,0,E90 320 32A 319 LH,3320,MRS,1353,MUC,346,Y,0,E95 CR9 LH,3320,MSQ,2954,FRA,340,Y,0,E90 LH,3320,MSY,3861,EWR,3494,Y,0,738 ERJ LH,3320,MSY,3861,IAD,3714,Y,0,320 319 LH,3320,MSY,3861,IAH,3550,Y,0,CR7 738 ERJ LH,3320,MSY,3861,JFK,3797,Y,0,E90 320 LH,3320,MUC,346,ADB,1706,,0,321 319 320 LH,3320,MUC,346,AGP,1230,,0,320 321 LH,3320,MUC,346,AMS,580,Y,0,E95 CR9 LH,3320,MUC,346,AOI,4309,Y,0,CR9 E95 LH,3320,MUC,346,ARN,737,,0,CR9 320 321 319 LH,3320,MUC,346,ATH,3941,,0,321 LH,3320,MUC,346,BCN,1218,,0,319 321 320 E95 LH,3320,MUC,346,BEG,1739,Y,0,E95 LH,3320,MUC,346,BHX,469,Y,0,E95 LH,3320,MUC,346,BIO,1216,,0,E95 319 320 LH,3320,MUC,346,BKK,3885,Y,0,747 LH,3320,MUC,346,BLQ,1538,,0,E95 LH,3320,MUC,346,BOM,2997,,0,333 LH,3320,MUC,346,BOS,3448,,0,333 LH,3320,MUC,346,BRE,353,,0,E95 319 321 320 LH,3320,MUC,346,BRI,1501,Y,0,E95 LH,3320,MUC,346,BRU,302,,0,319 E95 320 LH,3320,MUC,346,BSL,1423,Y,0,CR9 CR7 LH,3320,MUC,346,BUD,1489,,0,320 E95 CR9 319 321 LH,3320,MUC,346,CAG,1519,,0,E95 LH,3320,MUC,346,CAI,1128,Y,0,738 LH,3320,MUC,346,CDG,1382,,0,E95 320 321 319 LH,3320,MUC,346,CGN,344,,0,319 321 320 E95 LH,3320,MUC,346,CLJ,1652,Y,0,E95 LH,3320,MUC,346,CLT,3876,,0,346 LH,3320,MUC,346,CPH,609,Y,0,CR9 E95 320 321 319 LH,3320,MUC,346,CTA,1509,,0,E95 321 LH,3320,MUC,346,DBV,1200,,0,319 E95 320 LH,3320,MUC,346,DEL,3093,,0,346 333 LH,3320,MUC,346,DME,4029,,0,320 321 319 LH,3320,MUC,346,DOK,2940,Y,0,CR7 CR9 LH,3320,MUC,346,DRS,338,,0,E95 LH,3320,MUC,346,DTM,373,,0,319 LH,3320,MUC,346,DUB,599,,0,320 319 LH,3320,MUC,346,DUS,345,,0,320 321 319 LH,3320,MUC,346,DXB,2188,,0,333 LH,3320,MUC,346,ESB,1682,,0,321 320 LH,3320,MUC,346,EWR,3494,,0,346 LH,3320,MUC,346,FAO,1626,,0,321 LH,3320,MUC,346,FCO,1555,,0,320 321 319 LH,3320,MUC,346,FLR,1563,,0,E95 LH,3320,MUC,346,FMO,341,Y,0,E95 CR9 LH,3320,MUC,346,FRA,340,,0,321 320 32A 319 LH,3320,MUC,346,GDN,668,,0,E95 LH,3320,MUC,346,GOA,1528,,0,CR9 CR7 LH,3320,MUC,346,GOT,687,Y,0,E95 CR9 LH,3320,MUC,346,GRU,2564,,0,346 LH,3320,MUC,346,GRZ,1609,Y,0,CR9 CR7 LH,3320,MUC,346,GVA,1665,,0,E95 CR9 LH,3320,MUC,346,GWT,410,Y,0,E95 LH,3320,MUC,346,HAJ,352,,0,320 321 319 E95 LH,3320,MUC,346,HAM,342,,0,320 321 319 LH,3320,MUC,346,HEL,421,,0,319 320 LH,3320,MUC,346,HER,1452,Y,0,320 LH,3320,MUC,346,HKG,3077,,0,346 LH,3320,MUC,346,HND,2359,,0,346 LH,3320,MUC,346,IAD,3714,,0,333 LH,3320,MUC,346,ICN,3930,,0,346 LH,3320,MUC,346,IST,1701,,0,321 320 LH,3320,MUC,346,JFK,3797,,0,333 LH,3320,MUC,346,JNB,813,Y,0,346 343 332 LH,3320,MUC,346,KBP,2939,,0,319 320 321 LH,3320,MUC,346,KIV,1735,Y,0,E95 LH,3320,MUC,346,KLX,1456,Y,0,319 LH,3320,MUC,346,KRK,669,Y,0,319 320 E95 LH,3320,MUC,346,LAX,3484,,0,346 LH,3320,MUC,346,LCA,1197,,0,321 LH,3320,MUC,346,LED,2948,,0,321 320 LH,3320,MUC,346,LEJ,348,Y,0,CR9 E95 CR7 LH,3320,MUC,346,LHR,507,,0,320 321 319 LH,3320,MUC,346,LIS,1638,,0,321 LH,3320,MUC,346,LJU,1569,Y,0,CR9 CR2 LH,3320,MUC,346,LUX,629,Y,0,CR9 CR7 LH,3320,MUC,346,LWO,2945,Y,0,CR7 CR9 LH,3320,MUC,346,LYS,1335,Y,0,E95 CR9 LH,3320,MUC,346,MAD,1229,,0,321 320 319 LH,3320,MUC,346,MAN,478,,0,319 320 LH,3320,MUC,346,MEX,1824,,0,346 LH,3320,MUC,346,MLA,1606,,0,319 320 LH,3320,MUC,346,MRS,1353,Y,0,CR9 E95 LH,3320,MUC,346,MXP,1524,,0,E95 LH,3320,MUC,346,NAP,1561,,0,321 LH,3320,MUC,346,NCE,1354,,0,E95 LH,3320,MUC,346,NUE,347,Y,0,CR7 CR9 LH,3320,MUC,346,ODS,2947,Y,0,CR9 CR7 LH,3320,MUC,346,OLB,1520,Y,0,E95 LH,3320,MUC,346,ORD,3830,,0,346 LH,3320,MUC,346,OSL,644,,0,319 E95 320 321 LH,3320,MUC,346,OTP,1657,,0,320 321 LH,3320,MUC,346,PAD,371,Y,0,CR9 CR7 LH,3320,MUC,346,PEK,3364,,0,346 LH,3320,MUC,346,PMI,3998,,0,320 319 321 LH,3320,MUC,346,PMO,1512,Y,0,E95 319 LH,3320,MUC,346,POZ,674,,0,CR7 CR9 LH,3320,MUC,346,PRG,1587,,0,E95 CR9 LH,3320,MUC,346,PRN,1742,Y,0,319 LH,3320,MUC,346,PSA,1562,,0,CR9 E95 LH,3320,MUC,346,PVG,3406,,0,346 LH,3320,MUC,346,RLG,772,Y,0,CR9 E95 LH,3320,MUC,346,RTM,591,Y,0,CR7 CR9 LH,3320,MUC,346,RUH,2082,,0,333 LH,3320,MUC,346,SBZ,1658,Y,0,CR9 LH,3320,MUC,346,SFO,3469,,0,346 LH,3320,MUC,346,SJJ,1646,,0,319 E95 LH,3320,MUC,346,SKG,1486,Y,0,320 LH,3320,MUC,346,SOF,1194,,0,321 320 LH,3320,MUC,346,SPU,1206,Y,0,DH4 CR9 LH,3320,MUC,346,STR,350,Y,0,CR9 CR7 E95 LH,3320,MUC,346,SUF,1508,Y,0,319 LH,3320,MUC,346,TBS,3973,,0,319 LH,3320,MUC,346,TIA,1190,Y,0,E95 LH,3320,MUC,346,TLS,1273,Y,0,E95 319 CR9 LH,3320,MUC,346,TLV,1590,,0,321 LH,3320,MUC,346,TRN,1526,Y,0,E95 LH,3320,MUC,346,TRS,1545,Y,0,CR9 CR7 LH,3320,MUC,346,TSR,1663,Y,0,CR9 E95 LH,3320,MUC,346,TXL,351,,0,320 321 319 LH,3320,MUC,346,VCE,1551,Y,0,E95 LH,3320,MUC,346,VIE,1613,,0,E95 319 CR9 LH,3320,MUC,346,VLC,1246,,0,319 LH,3320,MUC,346,VRN,1550,Y,0,E95 LH,3320,MUC,346,WAW,679,,0,E95 LH,3320,MUC,346,WRO,680,Y,0,CR9 E95 CR7 LH,3320,MUC,346,YUL,146,,0,333 LH,3320,MUC,346,YVR,156,,0,333 LH,3320,MUC,346,YYZ,193,Y,0,77W LH,3320,MUC,346,ZAD,1209,Y,0,DH4 LH,3320,MUC,346,ZAG,1208,,0,E95 CR9 LH,3320,MUC,346,ZRH,1678,,0,E95 319 CR9 LH,3320,MXP,1524,BRU,302,Y,0,319 AR1 LH,3320,MXP,1524,EWR,3494,Y,0,764 LH,3320,MXP,1524,FRA,340,,0,320 319 321 32A 733 LH,3320,MXP,1524,MUC,346,,0,E95 LH,3320,NAP,1561,DUS,345,Y,0,319 CR9 LH,3320,NAP,1561,FRA,340,,0,320 321 32A LH,3320,NAP,1561,MUC,346,,0,321 LH,3320,NBO,4059,BRU,302,Y,0,332 LH,3320,NBO,4059,DAR,1177,Y,0,333 LH,3320,NBO,4059,ZRH,1678,Y,0,333 LH,3320,NCE,1354,DUS,345,,0,320 319 CR9 LH,3320,NCE,1354,FRA,340,,0,319 32A 321 320 LH,3320,NCE,1354,MUC,346,,0,E95 LH,3320,NCL,521,DUS,345,Y,0,CR9 LH,3320,NGO,3942,FRA,340,,0,343 LH,3320,NKG,3388,FRA,340,,0,343 LH,3320,NRT,2279,DUS,345,Y,0,788 LH,3320,NRT,2279,KIX,3992,,0,744 LH,3320,NSI,4161,BRU,302,Y,0,332 LH,3320,NSI,4161,DLA,897,Y,0,332 LH,3320,NUE,347,FRA,340,,0,319 735 CR7 321 733 E90 32A 320 LH,3320,NUE,347,MUC,346,Y,0,CR7 CR9 LH,3320,NUE,347,ZRH,1678,Y,0,AR1 100 LH,3320,ODS,2947,MUC,346,Y,0,CR9 CR7 LH,3320,OLB,1520,FRA,340,Y,0,E90 LH,3320,OLB,1520,MUC,346,Y,0,E95 LH,3320,OPO,1636,FRA,340,,0,321 LH,3320,ORD,3830,AMS,580,Y,0,763 LH,3320,ORD,3830,ATL,3682,Y,0,CR7 E70 LH,3320,ORD,3830,CDG,1382,Y,0,763 LH,3320,ORD,3830,DUS,345,,0,343 LH,3320,ORD,3830,FRA,340,,0,74H 744 LH,3320,ORD,3830,LHR,507,Y,0,763 LH,3320,ORD,3830,MUC,346,,0,346 LH,3320,OSL,644,DUS,345,Y,0,73G 73W 738 736 LH,3320,OSL,644,FRA,340,,0,32A 319 320 LH,3320,OSL,644,MUC,346,,0,320 319 E95 321 LH,3320,OSL,644,TOS,663,Y,0,73G LH,3320,OTP,1657,DUS,345,Y,0,CR9 LH,3320,OTP,1657,FRA,340,,0,32A 320 733 319 LH,3320,OTP,1657,MUC,346,,0,320 321 LH,3320,OUA,246,ABJ,253,Y,0,333 LH,3320,OUA,246,BRU,302,Y,0,333 LH,3320,PAD,371,MUC,346,Y,0,CR9 CR7 LH,3320,PEK,3364,DUS,345,Y,0,330 LH,3320,PEK,3364,FRA,340,,0,388 LH,3320,PEK,3364,MUC,346,,0,346 LH,3320,PHC,275,LOS,273,,0,333 LH,3320,PHL,3752,FRA,340,,0,343 LH,3320,PMI,3998,FRA,340,,0,319 32A LH,3320,PMI,3998,MUC,346,,0,320 319 321 LH,3320,PMO,1512,FRA,340,Y,0,E90 LH,3320,PMO,1512,MUC,346,Y,0,E95 319 LH,3320,POZ,674,FRA,340,,0,CR7 LH,3320,POZ,674,MUC,346,,0,CR9 CR7 LH,3320,PRG,1587,FRA,340,,0,321 733 32A 320 LH,3320,PRG,1587,MUC,346,,0,E95 CR9 LH,3320,PRN,1742,FRA,340,Y,0,319 LH,3320,PRN,1742,MUC,346,Y,0,319 LH,3320,PSA,1562,MUC,346,,0,CR9 E95 LH,3320,PVG,3406,FRA,340,,0,388 744 LH,3320,PVG,3406,MUC,346,,0,346 LH,3320,RIX,3953,FRA,340,,0,321 320 LH,3320,RLG,772,MUC,346,Y,0,CR9 E95 LH,3320,ROB,1063,BRU,302,Y,0,333 LH,3320,RTM,591,MUC,346,Y,0,CR7 CR9 LH,3320,RUH,2082,FRA,340,,0,333 LH,3320,RUH,2082,MUC,346,,0,333 LH,3320,RZE,675,FRA,340,,0,CR7 LH,3320,SBZ,1658,MUC,346,Y,0,CR9 LH,3320,SCN,349,HAM,342,Y,0,DH4 LH,3320,SCN,349,LUX,629,Y,0,DH4 LH,3320,SCN,349,TXL,351,Y,0,DH4 LH,3320,SEA,3577,FRA,340,,0,333 343 LH,3320,SFO,3469,FRA,340,,0,744 388 LH,3320,SFO,3469,LHR,507,Y,0,777 LH,3320,SFO,3469,MUC,346,,0,346 LH,3320,SHE,4144,FRA,340,,0,343 LH,3320,SHE,4144,TAO,3390,,0,343 LH,3320,SIN,3316,FRA,340,,0,388 LH,3320,SJJ,1646,MUC,346,,0,319 E95 LH,3320,SKG,1486,ATH,3941,Y,0,321 LH,3320,SKG,1486,DUS,345,Y,0,321 LH,3320,SKG,1486,FRA,340,Y,0,321 LH,3320,SKG,1486,MUC,346,Y,0,320 LH,3320,SKG,1486,STR,350,Y,0,320 LH,3320,SNN,603,EWR,3494,Y,0,752 LH,3320,SOF,1194,FRA,340,,0,32A 320 319 321 LH,3320,SOF,1194,MUC,346,,0,320 321 LH,3320,SPU,1206,DUS,345,Y,0,319 LH,3320,SPU,1206,FRA,340,,0,319 LH,3320,SPU,1206,MUC,346,Y,0,DH4 CR9 LH,3320,SSG,891,ABV,260,,0,343 LH,3320,STR,350,EWR,3494,Y,0,752 LH,3320,STR,350,FRA,340,,0,733 319 735 320 32A LH,3320,STR,350,GRZ,1609,Y,0,DH4 LH,3320,STR,350,MUC,346,Y,0,CR9 CR7 E95 LH,3320,STR,350,SKG,1486,Y,0,320 LH,3320,STR,350,VIE,1613,Y,0,319 100 F70 320 DH4 LH,3320,STR,350,ZRH,1678,Y,0,100 AR1 319 LH,3320,SUF,1508,MUC,346,Y,0,319 LH,3320,SVG,666,FRA,340,,0,319 733 LH,3320,SZG,1612,FRA,340,Y,0,100 LH,3320,TAO,3390,SHE,4144,,0,343 LH,3320,TBS,3973,MUC,346,,0,319 LH,3320,TIA,1190,MUC,346,Y,0,E95 LH,3320,TLL,415,FRA,340,,0,320 321 32A LH,3320,TLS,1273,FRA,340,,0,321 319 735 733 LH,3320,TLS,1273,MUC,346,Y,0,E95 319 CR9 LH,3320,TLV,1590,FRA,340,,0,321 LH,3320,TLV,1590,MUC,346,,0,321 LH,3320,TLV,1590,TXL,351,,0,320 LH,3320,TOS,663,ALF,632,Y,0,73G LH,3320,TRN,1526,FRA,340,,0,E90 735 CR7 LH,3320,TRN,1526,MUC,346,Y,0,E95 LH,3320,TRS,1545,MUC,346,Y,0,CR7 CR9 LH,3320,TSE,2910,ALA,2908,,0,333 LH,3320,TSE,2910,FRA,340,,0,333 LH,3320,TSR,1663,MUC,346,Y,0,CR9 E95 LH,3320,TUN,287,FRA,340,,0,319 LH,3320,TXL,351,ARN,737,Y,0,73H 717 73W 736 LH,3320,TXL,351,ATH,3941,Y,0,320 LH,3320,TXL,351,BCN,1218,,0,320 LH,3320,TXL,351,BRU,302,Y,0,319 AR1 320 LH,3320,TXL,351,CDG,1382,,0,320 LH,3320,TXL,351,CPH,609,Y,0,320 CR2 321 319 CR9 LH,3320,TXL,351,DUS,345,,0,320 319 CR9 LH,3320,TXL,351,EWR,3494,Y,0,752 LH,3320,TXL,351,FRA,340,,0,32A 321 320 LH,3320,TXL,351,LUX,629,Y,0,DH4 ER4 LH,3320,TXL,351,MUC,346,,0,321 320 319 LH,3320,TXL,351,SCN,349,Y,0,DH4 ER4 LH,3320,TXL,351,TLV,1590,,0,320 LH,3320,TXL,351,VIE,1613,Y,0,320 321 319 LH,3320,TXL,351,VKO,2988,,0,320 LH,3320,TXL,351,ZAG,1208,,0,320 LH,3320,TXL,351,ZRH,1678,Y,0,321 320 LH,3320,VCE,1551,FRA,340,,0,321 32A 319 LH,3320,VCE,1551,MUC,346,Y,0,E95 LH,3320,VIE,1613,CGN,344,Y,0,100 F70 LH,3320,VIE,1613,DUS,345,,0,320 319 CR9 LH,3320,VIE,1613,FRA,340,,0,321 LH,3320,VIE,1613,HAM,342,Y,0,320 321 LH,3320,VIE,1613,LEJ,348,Y,0,DH4 LH,3320,VIE,1613,MUC,346,,0,E95 319 LH,3320,VIE,1613,STR,350,Y,0,100 319 F70 320 DH4 LH,3320,VIE,1613,TXL,351,Y,0,320 321 319 LH,3320,VIE,1613,YYZ,193,Y,0,767 LH,3320,VKO,2988,DUS,345,,0,320 LH,3320,VKO,2988,FRA,340,,0,321 32A LH,3320,VKO,2988,TXL,351,,0,320 LH,3320,VLC,1246,DUS,345,,0,319 320 LH,3320,VLC,1246,FRA,340,,0,32A 319 LH,3320,VLC,1246,MUC,346,,0,319 LH,3320,VNO,3959,BRU,302,Y,0,AR1 319 LH,3320,VNO,3959,FRA,340,,0,320 321 LH,3320,VRN,1550,FRA,340,Y,0,E95 LH,3320,VRN,1550,MUC,346,Y,0,E95 LH,3320,WAW,679,DUS,345,Y,0,E75 LH,3320,WAW,679,FRA,340,,0,32A 321 320 319 LH,3320,WAW,679,HAM,342,Y,0,E75 E70 LH,3320,WAW,679,MUC,346,,0,E95 LH,3320,WRO,680,FRA,340,,0,CR7 32A LH,3320,WRO,680,MUC,346,Y,0,CR7 CR9 E95 LH,3320,YEG,49,LHR,507,Y,0,763 LH,3320,YHZ,73,LHR,507,Y,0,763 LH,3320,YOW,100,FRA,340,Y,0,333 LH,3320,YOW,100,LHR,507,Y,0,763 LH,3320,YUL,146,BRU,302,Y,0,333 LH,3320,YUL,146,CDG,1382,Y,0,77W LH,3320,YUL,146,FRA,340,Y,0,333 LH,3320,YUL,146,GVA,1665,Y,0,333 LH,3320,YUL,146,LHR,507,Y,0,77W LH,3320,YUL,146,MUC,346,,0,333 LH,3320,YUL,146,YYZ,193,Y,0,333 LH,3320,YVR,156,FRA,340,,0,744 LH,3320,YVR,156,LHR,507,Y,0,77W LH,3320,YVR,156,MUC,346,,0,333 LH,3320,YYC,178,FRA,340,Y,0,77W LH,3320,YYC,178,LHR,507,Y,0,333 LH,3320,YYT,189,LHR,507,Y,0,319 LH,3320,YYZ,193,CDG,1382,Y,0,77W LH,3320,YYZ,193,CPH,609,Y,0,763 LH,3320,YYZ,193,FCO,1555,Y,0,333 LH,3320,YYZ,193,FRA,340,,0,744 LH,3320,YYZ,193,LHR,507,Y,0,763 77L 77W 333 LH,3320,YYZ,193,MUC,346,Y,0,77W LH,3320,YYZ,193,VIE,1613,Y,0,767 LH,3320,YYZ,193,YUL,146,Y,0,333 LH,3320,ZAD,1209,FRA,340,Y,0,319 LH,3320,ZAD,1209,MUC,346,Y,0,DH4 LH,3320,ZAG,1208,FRA,340,,0,733 32A LH,3320,ZAG,1208,MUC,346,,0,E95 CR9 LH,3320,ZAG,1208,TXL,351,,0,320 LH,3320,ZNZ,1186,JRO,1180,Y,0,763 LH,3320,ZRH,1678,DUS,345,,0,320 319 CR9 LH,3320,ZRH,1678,FRA,340,,0,733 E90 735 319 320 321 LH,3320,ZRH,1678,HAJ,352,Y,0,AR1 100 320 LH,3320,ZRH,1678,HAM,342,Y,0,321 320 LH,3320,ZRH,1678,MUC,346,,0,E95 319 CR9 LH,3320,ZRH,1678,NBO,4059,Y,0,333 LH,3320,ZRH,1678,NUE,347,Y,0,100 AR1 LH,3320,ZRH,1678,STR,350,Y,0,AR1 100 319 LH,3320,ZRH,1678,TXL,351,Y,0,320 321 LI,3251,ANU,2874,AXA,2900,,0,AT7 AT4 LI,3251,ANU,2874,BGI,2875,,0,AT4 AT7 LI,3251,ANU,2874,DOM,2877,,0,DH3 AT7 LI,3251,ANU,2874,PTP,2881,,0,DH3 LI,3251,ANU,2874,SDQ,1762,,0,AT4 LI,3251,ANU,2874,SJU,2890,,0,AT7 LI,3251,ANU,2874,SKB,2891,,0,AT4 DH3 AT7 LI,3251,ANU,2874,SLU,2893,,0,AT7 LI,3251,ANU,2874,SXM,2899,,0,AT7 DH3 LI,3251,AXA,2900,ANU,2874,,0,DH3 LI,3251,AXA,2900,STT,2883,,0,AT7 AT4 LI,3251,BGI,2875,ANU,2874,,0,DH3 AT4 AT7 LI,3251,BGI,2875,DOM,2877,,0,DH3 AT7 LI,3251,BGI,2875,FDF,2878,,0,DH3 LI,3251,BGI,2875,GND,2882,,0,DH3 AT4 AT7 LI,3251,BGI,2875,OGL,4306,,0,DH3 LI,3251,BGI,2875,SLU,2893,,0,DH3 LI,3251,BGI,2875,SVD,2907,,0,AT7 DH3 LI,3251,CUR,2897,POS,2902,,0,AT7 LI,3251,DOM,2877,ANU,2874,,0,AT7 DH3 LI,3251,DOM,2877,BGI,2875,,0,DH3 AT7 LI,3251,DOM,2877,PTP,2881,,0,DH3 LI,3251,DOM,2877,SJU,2890,,0,DH3 LI,3251,DOM,2877,SVD,2907,,0,DH3 LI,3251,EIS,2903,SXM,2899,,0,AT7 DH3 AT4 LI,3251,FDF,2878,BGI,2875,,0,DH3 LI,3251,FDF,2878,SLU,2893,,0,DH3 LI,3251,GND,2882,BGI,2875,,0,DH3 AT7 LI,3251,GND,2882,POS,2902,,0,AT4 AT7 LI,3251,GND,2882,SVD,2907,,0,DH3 LI,3251,OGL,4306,BGI,2875,,0,DH3 LI,3251,POS,2902,CUR,2897,,0,AT7 LI,3251,POS,2902,GND,2882,,0,AT7 DH3 LI,3251,POS,2902,SLU,2893,,0,AT7 LI,3251,POS,2902,SVD,2907,,0,AT7 AT4 LI,3251,PTP,2881,ANU,2874,,0,DH3 LI,3251,PTP,2881,DOM,2877,,0,DH3 LI,3251,SDQ,1762,ANU,2874,,0,AT4 LI,3251,SJU,2890,ANU,2874,,0,AT7 LI,3251,SJU,2890,DOM,2877,,0,DH3 LI,3251,SKB,2891,ANU,2874,,0,AT7 AT4 LI,3251,SKB,2891,SXM,2899,,0,AT4 DH3 AT7 LI,3251,SLU,2893,ANU,2874,,0,AT7 LI,3251,SLU,2893,BGI,2875,,0,AT7 DH3 LI,3251,SLU,2893,DOM,2877,,0,AT7 LI,3251,SLU,2893,FDF,2878,,0,DH3 LI,3251,SLU,2893,POS,2902,,0,AT7 LI,3251,SLU,2893,SVD,2907,,0,DH3 LI,3251,STT,2883,AXA,2900,,0,DH3 LI,3251,STT,2883,SXM,2899,,0,AT7 AT4 LI,3251,STX,2884,SXM,2899,,0,DH3 LI,3251,SVD,2907,BGI,2875,,0,DH3 AT4 AT7 LI,3251,SVD,2907,GND,2882,,0,DH3 AT7 LI,3251,SVD,2907,POS,2902,,0,AT7 DH3 LI,3251,SVD,2907,SLU,2893,,0,AT7 DH3 LI,3251,SXM,2899,ANU,2874,,0,AT4 AT7 DH3 LI,3251,SXM,2899,DOM,2877,,0,DH3 LI,3251,SXM,2899,EIS,2903,,0,AT7 DH3 AT4 LI,3251,SXM,2899,SKB,2891,,0,AT7 AT4 LI,3251,SXM,2899,SLU,2893,,0,DH3 LI,3251,SXM,2899,STT,2883,,0,DH3 LI,3251,SXM,2899,STX,2884,,0,DH3 LJ,9810,BKK,3885,ICN,3930,,0,738 LJ,9810,CEB,4206,ICN,3930,,0,738 LJ,9810,CJU,2370,GMP,2378,,0,738 LJ,9810,CJU,2370,PVG,3406,,0,738 LJ,9810,CNX,3931,ICN,3930,,0,738 LJ,9810,CRK,4140,ICN,3930,,0,738 LJ,9810,CTS,2287,ICN,3930,,0,738 LJ,9810,GMP,2378,CJU,2370,,0,738 LJ,9810,GUM,2246,ICN,3930,,0,738 LJ,9810,HKG,3077,ICN,3930,,0,738 LJ,9810,ICN,3930,BKK,3885,,0,738 LJ,9810,ICN,3930,CEB,4206,,0,738 LJ,9810,ICN,3930,CNX,3931,,0,738 LJ,9810,ICN,3930,CRK,4140,,0,738 LJ,9810,ICN,3930,CTS,2287,,0,738 LJ,9810,ICN,3930,GUM,2246,,0,738 LJ,9810,ICN,3930,HKG,3077,,0,738 LJ,9810,ICN,3930,MFM,3121,,0,738 LJ,9810,ICN,3930,NGS,2313,,0,738 LJ,9810,ICN,3930,OKA,2384,,0,738 LJ,9810,ICN,3930,VTE,3120,,0,738 LJ,9810,MFM,3121,ICN,3930,,0,738 LJ,9810,NGS,2313,ICN,3930,,0,738 LJ,9810,OKA,2384,ICN,3930,,0,738 LJ,9810,PVG,3406,CJU,2370,,0,738 LJ,9810,VTE,3120,ICN,3930,,0,738 LM,3287,EOI,5564,KOI,529,,0,BNI LM,3287,KOI,529,EOI,5564,,0,BNI LM,3287,KOI,529,NDY,5569,,0,BNI LM,3287,KOI,529,NRL,5566,,0,BNI LM,3287,KOI,529,PPW,5567,,0,BNI LM,3287,KOI,529,SOY,5568,,0,BNI LM,3287,KOI,529,WRY,5571,,0,BNI LM,3287,NDY,5569,KOI,529,,0,BNI LM,3287,NDY,5569,SOY,5568,,0,BNI LM,3287,NRL,5566,EOI,5564,,0,BNI LM,3287,NRL,5566,KOI,529,,0,BNI LM,3287,NRL,5566,NDY,5569,,0,BNI LM,3287,NRL,5566,PPW,5567,,0,BNI LM,3287,PPW,5567,KOI,529,,0,BNI LM,3287,PPW,5567,NRL,5566,,0,BNI LM,3287,PPW,5567,WRY,5571,,0,BNI LM,3287,SOY,5568,KOI,529,,0,BNI LM,3287,SOY,5568,NDY,5569,,0,BNI LM,3287,WRY,5571,KOI,529,,0,BNI LM,3287,WRY,5571,PPW,5567,,0,BNI LN,3258,AKF,1153,BEN,1154,,0,CR9 LN,3258,AKF,1153,TIP,1157,,0,CR9 LN,3258,ALG,210,TIP,1157,,0,CR9 LN,3258,AMM,2170,BEN,1154,,0,320 LN,3258,AMM,2170,TIP,1157,,0,320 330 LN,3258,BEN,1154,AKF,1153,,0,CR9 LN,3258,BEN,1154,AMM,2170,,0,320 LN,3258,BEN,1154,CAI,1128,,0,320 LN,3258,BEN,1154,CMN,1074,,0,320 LN,3258,BEN,1154,HBE,3410,,0,320 LN,3258,BEN,1154,IST,1701,,0,320 LN,3258,BEN,1154,MRA,5804,,0,320 CR9 LN,3258,BEN,1154,SFA,295,,0,320 LN,3258,BEN,1154,TIP,1157,,0,320 CR9 LN,3258,BEN,1154,TUN,287,,0,320 CR9 LN,3258,CAI,1128,BEN,1154,,0,320 LN,3258,CAI,1128,MRA,5804,,0,320 LN,3258,CAI,1128,TIP,1157,,0,320 LN,3258,CMN,1074,BEN,1154,,0,320 LN,3258,CMN,1074,TIP,1157,,0,320 330 LN,3258,GHT,1152,TIP,1157,,0,CR9 LN,3258,HBE,3410,BEN,1154,,0,320 LN,3258,HBE,3410,MRA,5804,,0,320 LN,3258,HBE,3410,TIP,1157,,0,320 330 LN,3258,HBE,3410,TOB,5697,,0,CR9 LN,3258,IST,1701,BEN,1154,,0,320 LN,3258,IST,1701,TIP,1157,,0,330 LN,3258,LAQ,5699,TIP,1157,,0,CR9 LN,3258,LAQ,5699,TUN,287,,0,320 CR9 LN,3258,LHR,507,TIP,1157,,0,320 LN,3258,LTD,1162,TIP,1157,,0,CR9 LN,3258,MAD,1229,TIP,1157,,0,320 LN,3258,MAN,478,TIP,1157,,0,320 LN,3258,MLA,1606,TIP,1157,,0,320 LN,3258,MRA,5804,BEN,1154,,0,320 CR9 LN,3258,MRA,5804,CAI,1128,,0,320 LN,3258,MRA,5804,HBE,3410,,0,320 LN,3258,MRA,5804,SFA,295,,0,CR9 320 LN,3258,MRA,5804,TUN,287,,0,320 LN,3258,QUB,5805,TIP,1157,,0,CR9 LN,3258,SFA,295,BEN,1154,,0,320 LN,3258,SFA,295,MRA,5804,,0,CR9 320 LN,3258,SFA,295,TIP,1157,,0,CR9 320 LN,3258,SRX,5696,TIP,1157,,0,CR9 LN,3258,SRX,5696,TUN,287,,0,CR9 LN,3258,TIP,1157,AKF,1153,,0,CR9 LN,3258,TIP,1157,ALG,210,,0,CR9 LN,3258,TIP,1157,AMM,2170,,0,320 330 LN,3258,TIP,1157,BEN,1154,,0,CR9 320 LN,3258,TIP,1157,CAI,1128,,0,320 LN,3258,TIP,1157,CMN,1074,,0,320 330 LN,3258,TIP,1157,GHT,1152,,0,CR9 LN,3258,TIP,1157,HBE,3410,,0,320 330 LN,3258,TIP,1157,IST,1701,,0,330 LN,3258,TIP,1157,LAQ,5699,,0,320 CR9 LN,3258,TIP,1157,LHR,507,,0,320 LN,3258,TIP,1157,LTD,1162,,0,CR9 LN,3258,TIP,1157,MAD,1229,,0,320 LN,3258,TIP,1157,MAN,478,,0,320 LN,3258,TIP,1157,MLA,1606,,0,320 LN,3258,TIP,1157,QUB,5805,,0,CR9 LN,3258,TIP,1157,SFA,295,,0,CR9 320 LN,3258,TIP,1157,SRX,5696,,0,CR9 LN,3258,TIP,1157,TOB,5697,,0,CR9 LN,3258,TIP,1157,TUN,287,,0,CR9 320 LN,3258,TOB,5697,HBE,3410,,0,CR9 LN,3258,TOB,5697,TIP,1157,,0,CR9 LN,3258,TOB,5697,TUN,287,,0,CR9 LN,3258,TUN,287,BEN,1154,,0,320 CR9 LN,3258,TUN,287,LAQ,5699,,0,320 CR9 LN,3258,TUN,287,MRA,5804,,0,320 LN,3258,TUN,287,SRX,5696,,0,CR9 LN,3258,TUN,287,TIP,1157,,0,CR9 320 LN,3258,TUN,287,TOB,5697,,0,CR9 LO,3210,AMS,580,WAW,679,,0,E75 E95 E70 LO,3210,ARN,737,WAW,679,,0,E70 E75 LO,3210,ATH,3941,WAW,679,,0,E95 E75 734 LO,3210,BCN,1218,WAW,679,,0,E95 734 LO,3210,BEG,1739,WAW,679,,0,E75 E70 LO,3210,BRU,302,WAW,679,,0,E95 734 E75 LO,3210,BUD,1489,WAW,679,,0,E70 E75 LO,3210,CDG,1382,WAW,679,,0,E75 E95 LO,3210,CPH,609,WAW,679,,0,E70 E75 LO,3210,DUS,345,WAW,679,,0,E75 LO,3210,EVN,3964,WAW,679,,0,E75 LO,3210,FRA,340,GDN,668,Y,0,319 321 32A 320 LO,3210,FRA,340,KRK,669,Y,0,735 733 321 32A 319 LO,3210,FRA,340,KTW,671,Y,0,735 CR7 733 LO,3210,FRA,340,POZ,674,Y,0,CR7 LO,3210,FRA,340,WAW,679,,0,E75 E95 E70 LO,3210,FRA,340,WRO,680,Y,0,CR7 32A 321 LO,3210,GDN,668,FRA,340,Y,0,319 321 32A 320 LO,3210,GDN,668,MUC,346,Y,0,E95 LO,3210,GDN,668,WAW,679,,0,DH4 LO,3210,GVA,1665,WAW,679,,0,E75 LO,3210,HAM,342,WAW,679,,0,E75 E70 LO,3210,IST,1701,WAW,679,,0,734 E95 LO,3210,JFK,3797,WAW,679,,0,788 LO,3210,KBP,2939,WAW,679,,0,734 E75 E95 LO,3210,KRK,669,FRA,340,Y,0,735 733 321 32A 319 LO,3210,KRK,669,MUC,346,Y,0,319 320 E95 LO,3210,KRK,669,VIE,1613,Y,0,F70 DH4 100 LO,3210,KRK,669,WAW,679,,0,DH4 E70 LO,3210,KTW,671,FRA,340,Y,0,735 CR7 733 LO,3210,KTW,671,WAW,679,,0,E70 DH4 LO,3210,LCA,1197,WAW,679,,0,E95 LO,3210,LED,2948,WAW,679,,0,E75 LO,3210,LHR,507,WAW,679,,0,734 E95 LO,3210,LIS,1638,WAW,679,Y,0,320 319 LO,3210,LJU,1569,WAW,679,,0,CR2 LO,3210,LWO,2945,WAW,679,,0,E95 E70 LO,3210,MAD,1229,WAW,679,,0,734 E95 LO,3210,MSQ,2954,WAW,679,,0,E75 E95 734 LO,3210,MUC,346,GDN,668,Y,0,E95 LO,3210,MUC,346,KRK,669,Y,0,319 320 E95 LO,3210,MUC,346,POZ,674,Y,0,CR9 CR7 LO,3210,MUC,346,WAW,679,,0,E75 LO,3210,MUC,346,WRO,680,Y,0,CR9 E95 CR7 LO,3210,MXP,1524,WAW,679,,0,E75 E70 LO,3210,NCE,1354,WAW,679,,0,E75 LO,3210,ODS,2947,WAW,679,,0,E75 E70 LO,3210,ORD,3830,WAW,679,,0,788 LO,3210,OTP,1657,WAW,679,,0,E75 E95 E70 LO,3210,PEK,3364,WAW,679,,0,788 LO,3210,POZ,674,FRA,340,Y,0,CR7 LO,3210,POZ,674,MUC,346,Y,0,CR9 CR7 LO,3210,POZ,674,WAW,679,,0,DH4 LO,3210,PRG,1587,WAW,679,,0,E75 E70 LO,3210,RIX,3953,WAW,679,,0,E70 DH4 E75 LO,3210,RZE,675,WAW,679,Y,0,DH4 E95 E75 LO,3210,SOF,1194,WAW,679,,0,E75 E70 LO,3210,SVO,2985,WAW,679,,0,E95 E75 LO,3210,SZZ,676,WAW,679,,0,E70 LO,3210,TBS,3973,WAW,679,,0,E95 LO,3210,TLL,415,WAW,679,,0,E70 E75 LO,3210,TLV,1590,WAW,679,,0,734 E95 LO,3210,VIE,1613,KRK,669,Y,0,DH4 F70 100 LO,3210,VIE,1613,WAW,679,,0,E95 E75 LO,3210,VNO,3959,WAW,679,,0,E70 E75 DH4 LO,3210,WAW,679,AMS,580,,0,E95 E75 E70 LO,3210,WAW,679,ARN,737,,0,E70 E75 LO,3210,WAW,679,ATH,3941,,0,E95 E75 734 LO,3210,WAW,679,BCN,1218,,0,E95 734 LO,3210,WAW,679,BEG,1739,,0,E75 E70 LO,3210,WAW,679,BRU,302,,0,E95 734 E75 LO,3210,WAW,679,BUD,1489,,0,E70 E75 LO,3210,WAW,679,CDG,1382,,0,E95 E75 LO,3210,WAW,679,CPH,609,,0,E75 E70 LO,3210,WAW,679,DUS,345,,0,E75 LO,3210,WAW,679,EVN,3964,,0,E75 LO,3210,WAW,679,FRA,340,,0,E75 E95 E70 LO,3210,WAW,679,GDN,668,,0,E75 DH4 E95 LO,3210,WAW,679,GVA,1665,,0,E75 LO,3210,WAW,679,HAM,342,,0,E75 E70 LO,3210,WAW,679,IST,1701,,0,734 E95 LO,3210,WAW,679,JFK,3797,,0,788 LO,3210,WAW,679,KBP,2939,,0,734 E75 E95 LO,3210,WAW,679,KRK,669,,0,DH4 E70 LO,3210,WAW,679,KTW,671,,0,E70 DH4 LO,3210,WAW,679,LCA,1197,,0,E95 LO,3210,WAW,679,LED,2948,,0,E75 LO,3210,WAW,679,LHR,507,,0,734 E95 LO,3210,WAW,679,LIS,1638,Y,0,320 319 LO,3210,WAW,679,LJU,1569,,0,CR2 LO,3210,WAW,679,LWO,2945,,0,E95 E70 LO,3210,WAW,679,MAD,1229,,0,734 E95 LO,3210,WAW,679,MSQ,2954,,0,E75 E95 734 LO,3210,WAW,679,MUC,346,,0,E75 LO,3210,WAW,679,MXP,1524,,0,E75 E70 LO,3210,WAW,679,NCE,1354,,0,E75 LO,3210,WAW,679,ODS,2947,,0,E75 E70 LO,3210,WAW,679,ORD,3830,,0,788 LO,3210,WAW,679,OTP,1657,,0,E75 E95 E70 LO,3210,WAW,679,PEK,3364,,0,788 LO,3210,WAW,679,POZ,674,,0,DH4 LO,3210,WAW,679,PRG,1587,,0,E75 E70 LO,3210,WAW,679,RIX,3953,,0,E70 DH4 E75 LO,3210,WAW,679,RZE,675,Y,0,DH4 E95 E75 LO,3210,WAW,679,SOF,1194,,0,E75 E70 LO,3210,WAW,679,SVO,2985,,0,E95 E75 LO,3210,WAW,679,SZZ,676,,0,E70 LO,3210,WAW,679,TBS,3973,,0,E95 LO,3210,WAW,679,TLL,415,,0,E70 E75 LO,3210,WAW,679,TLV,1590,,0,734 E95 LO,3210,WAW,679,VIE,1613,,0,E95 E75 LO,3210,WAW,679,VNO,3959,,0,E70 E75 DH4 LO,3210,WAW,679,WRO,680,,0,E95 E75 E70 LO,3210,WAW,679,YYZ,193,,0,788 LO,3210,WAW,679,ZRH,1678,,0,E70 E75 LO,3210,WRO,680,FRA,340,Y,0,CR7 32A 321 LO,3210,WRO,680,MUC,346,Y,0,CR7 CR9 E95 LO,3210,WRO,680,WAW,679,,0,E95 E75 E70 LO,3210,YYZ,193,WAW,679,,0,788 LO,3210,ZRH,1678,WAW,679,,0,E70 E75 LR,3197,DRK,6945,SJO,1885,Y,0,CNA LR,3197,FON,6731,SJO,1885,Y,0,CNA LR,3197,FON,6731,XQP,1889,Y,0,CNA LR,3197,GLF,1879,SJO,1885,Y,0,CNA LR,3197,LIR,1881,SJO,1885,Y,0,CNA LR,3197,MGA,1863,SAL,1892,Y,0,ATR LR,3197,MGA,1863,SJO,1885,Y,0,ATR LR,3197,PJM,5847,GLF,1879,,0,CNA LR,3197,PJM,5847,SJO,1885,Y,0,CNA LR,3197,PMZ,1887,SJO,1885,Y,0,CNA LR,3197,SAL,1892,MGA,1863,Y,0,ATR LR,3197,SJO,1885,DRK,6945,Y,0,CNA LR,3197,SJO,1885,FON,6731,Y,0,CNA LR,3197,SJO,1885,GLF,1879,Y,0,CNA LR,3197,SJO,1885,LIR,1881,Y,0,CNA LR,3197,SJO,1885,MGA,1863,Y,0,ATR LR,3197,SJO,1885,PJM,5847,Y,0,CNA LR,3197,SJO,1885,PMZ,1887,Y,0,CNA LR,3197,SJO,1885,TMU,6732,,0,CNA LR,3197,SJO,1885,TNO,5844,Y,0,CNA LR,3197,SJO,1885,XQP,1889,Y,0,CNA LR,3197,TMU,6732,SJO,1885,Y,0,CNA LR,3197,TNO,5844,SJO,1885,Y,0,CNA LR,3197,XQP,1889,SJO,1885,Y,0,CNA LS,3026,ACE,1055,BFS,465,,0,733 LS,3026,ACE,1055,BLK,514,,0,73C LS,3026,ACE,1055,EMA,523,,0,73H LS,3026,ACE,1055,GLA,534,,0,73H 738 LS,3026,ACE,1055,LBA,517,,0,75W 752 LS,3026,ACE,1055,MAN,478,,0,752 75W 73H LS,3026,ACE,1055,NCL,521,,0,752 75W LS,3026,AGP,1230,BFS,465,,0,733 LS,3026,AGP,1230,BLK,514,,0,733 LS,3026,AGP,1230,EDI,535,,0,733 LS,3026,AGP,1230,EMA,523,,0,733 73H LS,3026,AGP,1230,GLA,534,,0,73H 738 LS,3026,AGP,1230,LBA,517,,0,73H 733 752 75W LS,3026,AGP,1230,MAN,478,,0,752 75W 733 LS,3026,AGP,1230,NCL,521,,0,733 73C LS,3026,ALC,1212,BFS,465,,0,733 LS,3026,ALC,1212,BLK,514,,0,733 73C LS,3026,ALC,1212,EDI,535,,0,733 LS,3026,ALC,1212,EMA,523,,0,733 73H LS,3026,ALC,1212,GLA,534,,0,738 733 73H LS,3026,ALC,1212,LBA,517,,0,75W 733 752 73H LS,3026,ALC,1212,MAN,478,,0,75W 733 73H LS,3026,ALC,1212,NCL,521,,0,73C 733 752 75W LS,3026,AMS,580,LBA,517,,0,733 LS,3026,BCN,1218,GLA,534,,0,73H LS,3026,BCN,1218,LBA,517,,0,733 LS,3026,BCN,1218,MAN,478,,0,738 733 73H LS,3026,BFS,465,ACE,1055,,0,733 LS,3026,BFS,465,AGP,1230,,0,733 LS,3026,BFS,465,ALC,1212,,0,733 LS,3026,BFS,465,DBV,1200,,0,733 LS,3026,BFS,465,FAO,1626,,0,733 LS,3026,BFS,465,MJV,1227,,0,733 LS,3026,BFS,465,PMI,3998,,0,733 LS,3026,BFS,465,REU,1236,,0,733 LS,3026,BFS,465,TFS,1056,,0,733 LS,3026,BJV,4315,EMA,523,,0,73H LS,3026,BJV,4315,GLA,534,,0,73H LS,3026,BJV,4315,LBA,517,,0,752 LS,3026,BJV,4315,MAN,478,,0,73H 738 LS,3026,BJV,4315,NCL,521,,0,752 LS,3026,BLK,514,ACE,1055,,0,73C LS,3026,BLK,514,AGP,1230,,0,733 LS,3026,BLK,514,ALC,1212,,0,733 73C LS,3026,BLK,514,DLM,1715,,0,73C LS,3026,BLK,514,FAO,1626,,0,733 LS,3026,BLK,514,PMI,3998,,0,73C LS,3026,BLK,514,TFS,1056,,0,73C LS,3026,BUD,1489,EDI,535,,0,733 LS,3026,BUD,1489,EMA,523,,0,733 LS,3026,BUD,1489,LBA,517,,0,733 LS,3026,BUD,1489,MAN,478,,0,733 LS,3026,CDG,1382,EMA,523,,0,733 LS,3026,CDG,1382,LBA,517,,0,733 LS,3026,CDG,1382,MAN,478,,0,733 LS,3026,DBV,1200,BFS,465,,0,733 LS,3026,DBV,1200,EDI,535,,0,733 LS,3026,DBV,1200,EMA,523,,0,733 LS,3026,DBV,1200,LBA,517,,0,733 LS,3026,DBV,1200,MAN,478,,0,733 LS,3026,DBV,1200,NCL,521,,0,733 LS,3026,DLM,1715,BLK,514,,0,73C LS,3026,DLM,1715,EMA,523,,0,73H LS,3026,DLM,1715,GLA,534,,0,73H LS,3026,DLM,1715,LBA,517,,0,73H 75W LS,3026,DLM,1715,MAN,478,,0,752 73H 75W LS,3026,DLM,1715,NCL,521,,0,752 LS,3026,DUS,345,LBA,517,,0,733 LS,3026,EDI,535,AGP,1230,,0,733 LS,3026,EDI,535,ALC,1212,,0,733 LS,3026,EDI,535,BUD,1489,,0,733 LS,3026,EDI,535,DBV,1200,,0,733 LS,3026,EDI,535,FAO,1626,,0,733 LS,3026,EDI,535,MAH,1231,,0,733 LS,3026,EDI,535,MJV,1227,,0,733 LS,3026,EDI,535,PMI,3998,,0,733 LS,3026,EDI,535,PRG,1587,,0,733 LS,3026,EDI,535,VCE,1551,,0,733 LS,3026,EMA,523,ACE,1055,,0,73H LS,3026,EMA,523,AGP,1230,,0,733 73H LS,3026,EMA,523,ALC,1212,,0,733 73H LS,3026,EMA,523,BJV,4315,,0,73H LS,3026,EMA,523,BUD,1489,,0,733 LS,3026,EMA,523,CDG,1382,,0,733 LS,3026,EMA,523,DBV,1200,,0,733 LS,3026,EMA,523,DLM,1715,,0,73H LS,3026,EMA,523,FAO,1626,,0,733 LS,3026,EMA,523,FNC,4091,,0,733 LS,3026,EMA,523,HER,1452,,0,73H LS,3026,EMA,523,IBZ,1225,,0,733 LS,3026,EMA,523,LPA,1054,,0,73H LS,3026,EMA,523,MAH,1231,,0,733 LS,3026,EMA,523,MJV,1227,,0,733 LS,3026,EMA,523,PFO,1198,,0,73H LS,3026,EMA,523,PMI,3998,,0,733 73H LS,3026,EMA,523,PRG,1587,,0,733 LS,3026,EMA,523,RHO,1472,,0,73H LS,3026,EMA,523,TFS,1056,,0,73H LS,3026,FAO,1626,BFS,465,,0,733 LS,3026,FAO,1626,BLK,514,,0,733 LS,3026,FAO,1626,EDI,535,,0,733 LS,3026,FAO,1626,EMA,523,,0,733 LS,3026,FAO,1626,GLA,534,,0,738 73H LS,3026,FAO,1626,LBA,517,,0,733 73H 752 LS,3026,FAO,1626,MAN,478,,0,738 752 75W LS,3026,FAO,1626,NCL,521,,0,733 73C LS,3026,FCO,1555,GLA,534,,0,738 LS,3026,FCO,1555,LBA,517,,0,733 LS,3026,FCO,1555,MAN,478,,0,73H 733 LS,3026,FCO,1555,NCL,521,,0,73C LS,3026,FNC,4091,EMA,523,,0,733 LS,3026,FNC,4091,LBA,517,,0,73H LS,3026,FNC,4091,MAN,478,,0,75W 733 LS,3026,FUE,1051,GLA,534,,0,738 LS,3026,FUE,1051,LBA,517,,0,733 LS,3026,FUE,1051,MAN,478,,0,73H LS,3026,GLA,534,ACE,1055,,0,73H 738 LS,3026,GLA,534,AGP,1230,,0,73H 738 LS,3026,GLA,534,ALC,1212,,0,738 733 73H LS,3026,GLA,534,BCN,1218,,0,73H LS,3026,GLA,534,BJV,4315,,0,73H LS,3026,GLA,534,DLM,1715,,0,73H LS,3026,GLA,534,FAO,1626,,0,738 73H LS,3026,GLA,534,FCO,1555,,0,738 LS,3026,GLA,534,FUE,1051,,0,738 LS,3026,GLA,534,HER,1452,,0,73H LS,3026,GLA,534,IBZ,1225,,0,738 73H LS,3026,GLA,534,LPA,1054,,0,738 LS,3026,GLA,534,PFO,1198,,0,73H LS,3026,GLA,534,PMI,3998,,0,73H 738 LS,3026,GLA,534,RHO,1472,,0,73H LS,3026,GLA,534,TFS,1056,,0,738 73H LS,3026,HER,1452,EMA,523,,0,73H LS,3026,HER,1452,GLA,534,,0,73H LS,3026,HER,1452,LBA,517,,0,75W 73H LS,3026,HER,1452,MAN,478,,0,75W 738 LS,3026,HER,1452,NCL,521,,0,752 LS,3026,IBZ,1225,EMA,523,,0,733 LS,3026,IBZ,1225,GLA,534,,0,738 73H LS,3026,IBZ,1225,LBA,517,,0,733 73H LS,3026,IBZ,1225,MAN,478,,0,733 73H 738 75W LS,3026,IBZ,1225,NCL,521,,0,733 LS,3026,JER,499,LBA,517,,0,733 LS,3026,JER,499,MAN,478,,0,733 LS,3026,KGS,1458,LBA,517,,0,73H LS,3026,KGS,1458,MAN,478,,0,75W LS,3026,KRK,669,NCL,521,,0,733 LS,3026,LBA,517,ACE,1055,,0,75W 752 LS,3026,LBA,517,AGP,1230,,0,73H 733 752 75W LS,3026,LBA,517,ALC,1212,,0,75W 733 752 73H LS,3026,LBA,517,AMS,580,,0,733 LS,3026,LBA,517,BCN,1218,,0,733 LS,3026,LBA,517,BJV,4315,,0,752 LS,3026,LBA,517,BUD,1489,,0,733 LS,3026,LBA,517,CDG,1382,,0,733 LS,3026,LBA,517,DBV,1200,,0,733 LS,3026,LBA,517,DLM,1715,,0,73H 75W LS,3026,LBA,517,DUS,345,,0,733 LS,3026,LBA,517,FAO,1626,,0,733 73H 752 LS,3026,LBA,517,FCO,1555,,0,733 LS,3026,LBA,517,FNC,4091,,0,73H LS,3026,LBA,517,FUE,1051,,0,733 LS,3026,LBA,517,HER,1452,,0,75W 73H LS,3026,LBA,517,IBZ,1225,,0,733 73H LS,3026,LBA,517,JER,499,,0,733 LS,3026,LBA,517,KGS,1458,,0,73H LS,3026,LBA,517,LCA,1197,,0,75W LS,3026,LBA,517,LPA,1054,,0,752 LS,3026,LBA,517,MAH,1231,,0,733 LS,3026,LBA,517,MJV,1227,,0,733 LS,3026,LBA,517,NCE,1354,,0,733 LS,3026,LBA,517,PFO,1198,,0,752 75W LS,3026,LBA,517,PMI,3998,,0,752 733 73H 75W LS,3026,LBA,517,PRG,1587,,0,733 LS,3026,LBA,517,PSA,1562,,0,733 LS,3026,LBA,517,RHO,1472,,0,752 LS,3026,LBA,517,TFS,1056,,0,752 73H LS,3026,LBA,517,VCE,1551,,0,733 LS,3026,LBA,517,ZTH,1488,,0,73H LS,3026,LCA,1197,LBA,517,,0,75W LS,3026,LCA,1197,MAN,478,,0,73H 75W LS,3026,LPA,1054,EMA,523,,0,73H LS,3026,LPA,1054,GLA,534,,0,738 LS,3026,LPA,1054,LBA,517,,0,752 LS,3026,LPA,1054,MAN,478,,0,73H 752 LS,3026,LPA,1054,NCL,521,,0,752 LS,3026,MAH,1231,EDI,535,,0,733 LS,3026,MAH,1231,EMA,523,,0,733 LS,3026,MAH,1231,LBA,517,,0,733 LS,3026,MAH,1231,MAN,478,,0,733 LS,3026,MAH,1231,NCL,521,,0,733 LS,3026,MAN,478,ACE,1055,,0,752 75W 73H LS,3026,MAN,478,AGP,1230,,0,752 75W 733 LS,3026,MAN,478,ALC,1212,,0,75W 733 73H LS,3026,MAN,478,BCN,1218,,0,738 733 73H LS,3026,MAN,478,BJV,4315,,0,73H 738 LS,3026,MAN,478,BUD,1489,,0,733 LS,3026,MAN,478,CDG,1382,,0,733 LS,3026,MAN,478,DBV,1200,,0,733 LS,3026,MAN,478,DLM,1715,,0,752 73H 75W LS,3026,MAN,478,FAO,1626,,0,738 752 75W LS,3026,MAN,478,FCO,1555,,0,73H 733 LS,3026,MAN,478,FNC,4091,,0,75W 733 LS,3026,MAN,478,FUE,1051,,0,73H LS,3026,MAN,478,HER,1452,,0,75W 738 LS,3026,MAN,478,IBZ,1225,,0,733 73H 738 75W LS,3026,MAN,478,JER,499,,0,733 LS,3026,MAN,478,KGS,1458,,0,75W LS,3026,MAN,478,LCA,1197,,0,73H 75W LS,3026,MAN,478,LPA,1054,,0,73H 752 LS,3026,MAN,478,MAH,1231,,0,733 LS,3026,MAN,478,MJV,1227,,0,733 738 73H LS,3026,MAN,478,NCE,1354,,0,733 LS,3026,MAN,478,PFO,1198,,0,73H 75W LS,3026,MAN,478,PMI,3998,,0,75W 73H 752 LS,3026,MAN,478,PRG,1587,,0,733 LS,3026,MAN,478,PSA,1562,,0,733 LS,3026,MAN,478,PUY,1203,,0,733 LS,3026,MAN,478,REU,1236,,0,733 LS,3026,MAN,478,RHO,1472,,0,752 LS,3026,MAN,478,SPU,1206,,0,733 LS,3026,MAN,478,TFS,1056,,0,75W 73H LS,3026,MAN,478,TLS,1273,,0,733 LS,3026,MAN,478,VCE,1551,,0,733 738 LS,3026,MAN,478,VIE,1613,,0,733 LS,3026,MAN,478,ZTH,1488,,0,738 LS,3026,MJV,1227,BFS,465,,0,733 LS,3026,MJV,1227,EDI,535,,0,733 LS,3026,MJV,1227,EMA,523,,0,733 LS,3026,MJV,1227,LBA,517,,0,733 LS,3026,MJV,1227,MAN,478,,0,733 738 73H LS,3026,MJV,1227,NCL,521,,0,733 73C LS,3026,NCE,1354,LBA,517,,0,733 LS,3026,NCE,1354,MAN,478,,0,733 LS,3026,NCL,521,ACE,1055,,0,752 75W LS,3026,NCL,521,AGP,1230,,0,733 73C LS,3026,NCL,521,ALC,1212,,0,73C 733 752 75W LS,3026,NCL,521,BJV,4315,,0,752 LS,3026,NCL,521,DBV,1200,,0,733 LS,3026,NCL,521,DLM,1715,,0,752 LS,3026,NCL,521,FAO,1626,,0,733 73C LS,3026,NCL,521,FCO,1555,,0,73C LS,3026,NCL,521,HER,1452,,0,752 LS,3026,NCL,521,IBZ,1225,,0,733 LS,3026,NCL,521,KRK,669,,0,733 LS,3026,NCL,521,LPA,1054,,0,752 LS,3026,NCL,521,MAH,1231,,0,733 LS,3026,NCL,521,MJV,1227,,0,733 73C LS,3026,NCL,521,PFO,1198,,0,752 LS,3026,NCL,521,PMI,3998,,0,752 733 LS,3026,NCL,521,PRG,1587,,0,73C 733 LS,3026,NCL,521,PSA,1562,,0,733 LS,3026,NCL,521,REU,1236,,0,733 LS,3026,NCL,521,RHO,1472,,0,752 LS,3026,NCL,521,TFS,1056,,0,752 LS,3026,NCL,521,VCE,1551,,0,733 73C LS,3026,PFO,1198,EMA,523,,0,73H LS,3026,PFO,1198,GLA,534,,0,73H LS,3026,PFO,1198,LBA,517,,0,752 75W LS,3026,PFO,1198,MAN,478,,0,73H 75W LS,3026,PFO,1198,NCL,521,,0,752 LS,3026,PMI,3998,BFS,465,,0,733 LS,3026,PMI,3998,BLK,514,,0,73C LS,3026,PMI,3998,EDI,535,,0,733 LS,3026,PMI,3998,EMA,523,,0,733 73H LS,3026,PMI,3998,GLA,534,,0,73H 738 LS,3026,PMI,3998,LBA,517,,0,752 733 73H 75W LS,3026,PMI,3998,MAN,478,,0,75W 73H 752 LS,3026,PMI,3998,NCL,521,,0,752 733 LS,3026,PRG,1587,EDI,535,,0,733 LS,3026,PRG,1587,EMA,523,,0,733 LS,3026,PRG,1587,LBA,517,,0,733 LS,3026,PRG,1587,MAN,478,,0,733 LS,3026,PRG,1587,NCL,521,,0,73C 733 LS,3026,PSA,1562,LBA,517,,0,733 LS,3026,PSA,1562,MAN,478,,0,733 LS,3026,PSA,1562,NCL,521,,0,733 LS,3026,PUY,1203,MAN,478,,0,733 LS,3026,REU,1236,BFS,465,,0,733 LS,3026,REU,1236,MAN,478,,0,733 LS,3026,REU,1236,NCL,521,,0,733 LS,3026,RHO,1472,EMA,523,,0,73H LS,3026,RHO,1472,GLA,534,,0,73H LS,3026,RHO,1472,LBA,517,,0,752 LS,3026,RHO,1472,MAN,478,,0,752 LS,3026,RHO,1472,NCL,521,,0,752 LS,3026,SPU,1206,MAN,478,,0,733 LS,3026,TFS,1056,BFS,465,,0,733 LS,3026,TFS,1056,BLK,514,,0,73C LS,3026,TFS,1056,EMA,523,,0,73H LS,3026,TFS,1056,GLA,534,,0,738 73H LS,3026,TFS,1056,LBA,517,,0,752 73H LS,3026,TFS,1056,MAN,478,,0,75W 73H LS,3026,TFS,1056,NCL,521,,0,752 LS,3026,TLS,1273,MAN,478,,0,733 LS,3026,VCE,1551,EDI,535,,0,733 LS,3026,VCE,1551,LBA,517,,0,733 LS,3026,VCE,1551,MAN,478,,0,733 738 LS,3026,VCE,1551,NCL,521,,0,733 73C LS,3026,VIE,1613,MAN,478,,0,733 LS,3026,ZTH,1488,LBA,517,,0,73H LS,3026,ZTH,1488,MAN,478,,0,738 LT,19610,BRU,302,VNO,3959,,0,CR2 E75 LT,19610,CDG,1382,VNO,3959,,0,E75 LT,19610,MUC,346,VNO,3959,,0,E75 CR2 LT,19610,PRG,1587,VNO,3959,,0,CR2 LT,19610,TLL,415,VNO,3959,,0,E75 CR2 LT,19610,TXL,351,VNO,3959,,0,CR2 LT,19610,VNO,3959,BRU,302,,0,CR2 E75 LT,19610,VNO,3959,CDG,1382,,0,E75 LT,19610,VNO,3959,MUC,346,,0,E75 CR2 LT,19610,VNO,3959,PRG,1587,,0,CR2 LT,19610,VNO,3959,TLL,415,,0,E75 CR2 LT,19610,VNO,3959,TXL,351,,0,CR2 LV,1008,MLE,3156,PEK,3364,,0,763 LV,1008,MLE,3156,PVG,3406,,0,763 LV,1008,PEK,3364,MLE,3156,,0,763 LV,1008,PVG,3406,MLE,3156,,0,763 LW,3865,ABQ,4019,CNM,3597,,0,CNC LW,3865,ABQ,4019,LAM,7584,,0,CNC LW,3865,CNM,3597,ABQ,4019,,0,CNC LW,3865,HGR,6739,IAD,3714,Y,0,PA2 LW,3865,IAD,3714,HGR,6739,Y,0,PA2 LW,3865,IAD,3714,LNS,5751,Y,0,PA2 LW,3865,IAH,3550,VCT,5775,Y,0,PA2 LW,3865,LAM,7584,ABQ,4019,,0,CNC LW,3865,LNS,5751,IAD,3714,Y,0,PA2 LW,3865,VCT,5775,IAH,3550,Y,0,PA2 LX,4559,ACE,1055,ZRH,1678,Y,0,320 LX,4559,AGP,1230,GVA,1665,,0,320 AR1 LX,4559,AGP,1230,ZRH,1678,,0,321 320 LX,4559,AMS,580,ZRH,1678,,0,320 AR1 LX,4559,ARN,737,GVA,1665,,0,320 319 LX,4559,ARN,737,ZRH,1678,,0,320 321 LX,4559,ATH,3941,GVA,1665,,0,320 319 LX,4559,ATH,3941,ZRH,1678,,0,321 LX,4559,AYT,1688,ZRH,1678,Y,0,320 LX,4559,BAH,2057,DOH,11051,Y,0,333 LX,4559,BCN,1218,BSL,1423,Y,0,AR1 LX,4559,BCN,1218,GVA,1665,,0,320 319 AR1 LX,4559,BCN,1218,ZRH,1678,,0,321 320 LX,4559,BEG,1739,GVA,1665,,0,320 LX,4559,BEG,1739,ZRH,1678,,0,320 100 LX,4559,BHX,469,ZRH,1678,,0,100 AR1 LX,4559,BKK,3885,ZRH,1678,,0,343 LX,4559,BOM,2997,ZRH,1678,,0,333 LX,4559,BOS,3448,ZRH,1678,,0,333 LX,4559,BRU,302,BSL,1423,Y,0,319 AR1 LX,4559,BRU,302,DLA,897,Y,0,332 LX,4559,BRU,302,GVA,1665,Y,0,320 319 AR1 LX,4559,BRU,302,LIN,1529,,0,AR1 319 LX,4559,BRU,302,NSI,4161,Y,0,332 LX,4559,BRU,302,ZRH,1678,,0,AR1 320 LX,4559,BSL,1423,BCN,1218,Y,0,AR1 LX,4559,BSL,1423,BRU,302,Y,0,319 AR1 LX,4559,BSL,1423,FCO,1555,Y,0,AR1 LX,4559,BSL,1423,FRA,340,Y,0,CR7 LX,4559,BSL,1423,HAM,342,Y,0,AR1 LX,4559,BSL,1423,LCY,503,Y,0,AR1 LX,4559,BSL,1423,MUC,346,Y,0,CR7 CR9 LX,4559,BSL,1423,PRG,1587,Y,0,AR1 LX,4559,BSL,1423,VIE,1613,Y,0,DH4 LX,4559,BUD,1489,ZRH,1678,,0,AR1 100 320 319 LX,4559,CAI,1128,GVA,1665,Y,0,738 LX,4559,CAI,1128,ZRH,1678,,0,333 343 LX,4559,CDG,1382,GVA,1665,Y,0,319 321 320 318 LX,4559,CDG,1382,ZRH,1678,,0,320 AR1 32A 319 LX,4559,CGN,344,ZRH,1678,,0,320 319 LX,4559,CPH,609,GVA,1665,,0,319 320 LX,4559,CPH,609,ZRH,1678,,0,321 320 LX,4559,CTA,1509,GVA,1665,,0,320 LX,4559,CTA,1509,ZRH,1678,Y,0,320 LX,4559,DAR,1177,NBO,4059,,0,333 LX,4559,DBV,1200,ZRH,1678,Y,0,DH4 LX,4559,DEL,3093,ZRH,1678,,0,333 LX,4559,DLA,897,BRU,302,Y,0,332 LX,4559,DLA,897,NSI,4161,Y,0,332 LX,4559,DME,4029,GVA,1665,,0,320 319 LX,4559,DME,4029,ZRH,1678,,0,321 320 LX,4559,DOH,11051,BAH,2057,Y,0,333 LX,4559,DOH,11051,FRA,340,Y,0,333 LX,4559,DUB,599,ZRH,1678,,0,321 LX,4559,DUS,345,ZRH,1678,,0,320 AR1 100 321 LX,4559,DXB,2188,ZRH,1678,,0,333 LX,4559,EWR,3494,GVA,1665,Y,0,763 LX,4559,EWR,3494,ZRH,1678,,0,333 LX,4559,FCO,1555,BSL,1423,Y,0,AR1 LX,4559,FCO,1555,GVA,1665,,0,319 320 LX,4559,FCO,1555,ZRH,1678,,0,320 321 319 32A LX,4559,FLR,1563,ZRH,1678,Y,0,AR1 LX,4559,FNC,4091,ZRH,1678,Y,0,320 LX,4559,FRA,340,BSL,1423,Y,0,CR7 LX,4559,FRA,340,DOH,11051,Y,0,333 LX,4559,FRA,340,GVA,1665,Y,0,CR7 735 E90 LX,4559,FRA,340,ZRH,1678,,0,320 AR1 LX,4559,FUE,1051,ZRH,1678,Y,0,320 LX,4559,GRU,2564,ZRH,1678,,0,343 LX,4559,GVA,1665,AGP,1230,,0,320 AR1 LX,4559,GVA,1665,ARN,737,,0,320 319 LX,4559,GVA,1665,ATH,3941,,0,320 319 LX,4559,GVA,1665,BCN,1218,,0,320 319 AR1 LX,4559,GVA,1665,BEG,1739,,0,320 LX,4559,GVA,1665,BRU,302,Y,0,319 320 AR1 LX,4559,GVA,1665,CAI,1128,Y,0,738 LX,4559,GVA,1665,CDG,1382,Y,0,321 319 320 318 LX,4559,GVA,1665,CPH,609,,0,319 320 LX,4559,GVA,1665,CTA,1509,,0,320 LX,4559,GVA,1665,DME,4029,,0,319 320 LX,4559,GVA,1665,EWR,3494,Y,0,763 LX,4559,GVA,1665,FCO,1555,,0,319 320 LX,4559,GVA,1665,FRA,340,Y,0,735 CR7 E90 LX,4559,GVA,1665,HER,1452,,0,320 LX,4559,GVA,1665,IAD,3714,Y,0,763 LX,4559,GVA,1665,JFK,3797,,0,333 LX,4559,GVA,1665,LCY,503,Y,0,AR1 LX,4559,GVA,1665,LED,2948,,0,319 LX,4559,GVA,1665,LHR,507,,0,320 319 LX,4559,GVA,1665,LIS,1638,,0,319 320 LX,4559,GVA,1665,MAD,1229,,0,320 319 LX,4559,GVA,1665,MUC,346,Y,0,E95 CR9 LX,4559,GVA,1665,NCE,1354,,0,320 319 AR1 LX,4559,GVA,1665,OLB,1520,,0,320 LX,4559,GVA,1665,OPO,1636,,0,319 320 LX,4559,GVA,1665,PMI,3998,,0,320 LX,4559,GVA,1665,PRG,1587,,0,320 319 LX,4559,GVA,1665,PRN,1742,,0,320 LX,4559,GVA,1665,RAK,1075,,0,320 LX,4559,GVA,1665,TLV,1590,Y,0,738 LX,4559,GVA,1665,VIE,1613,Y,0,F70 319 100 LX,4559,GVA,1665,WAW,679,Y,0,E75 LX,4559,GVA,1665,YUL,146,Y,0,333 LX,4559,GVA,1665,ZRH,1678,,0,AR1 320 319 321 32A LX,4559,HAJ,352,ZRH,1678,,0,100 AR1 320 LX,4559,HAM,342,BSL,1423,Y,0,AR1 LX,4559,HAM,342,ZRH,1678,,0,319 321 320 CRJ LX,4559,HAV,1909,ZRH,1678,Y,0,333 LX,4559,HER,1452,GVA,1665,,0,320 LX,4559,HER,1452,ZRH,1678,Y,0,320 333 LX,4559,HKG,3077,ZRH,1678,,0,343 LX,4559,HRG,1130,ZRH,1678,Y,0,320 LX,4559,IAD,3714,GVA,1665,Y,0,763 LX,4559,IAD,3714,ZRH,1678,Y,0,763 764 LX,4559,IST,1701,ZRH,1678,,0,320 32A LX,4559,JFK,3797,GVA,1665,,0,333 LX,4559,JFK,3797,ZRH,1678,,0,333 LX,4559,JNB,813,ZRH,1678,,0,343 333 LX,4559,KBP,2939,ZRH,1678,,0,320 32A 100 319 LX,4559,LAS,3877,ZRH,1678,,0,333 LX,4559,LAX,3484,ZRH,1678,,0,343 LX,4559,LCA,1197,ZRH,1678,Y,0,320 LX,4559,LCY,503,BSL,1423,Y,0,AR1 LX,4559,LCY,503,GVA,1665,Y,0,AR1 LX,4559,LCY,503,ZRH,1678,Y,0,AR1 LX,4559,LED,2948,GVA,1665,,0,319 LX,4559,LED,2948,ZRH,1678,,0,320 32A LX,4559,LHR,507,GVA,1665,,0,320 319 LX,4559,LHR,507,ZRH,1678,,0,320 321 32A LX,4559,LIN,1529,BRU,302,,0,AR1 319 LX,4559,LIS,1638,GVA,1665,,0,319 320 LX,4559,LIS,1638,ZRH,1678,,0,32A 320 LX,4559,LJU,1569,ZRH,1678,Y,0,CR9 CR2 319 LX,4559,LPA,1054,ZRH,1678,Y,0,320 LX,4559,LUG,1675,ZRH,1678,Y,0,S20 LX,4559,LUX,629,ZRH,1678,,0,AR1 320 LX,4559,LYS,1335,ZRH,1678,,0,AR1 LX,4559,MAD,1229,GVA,1665,,0,320 319 LX,4559,MAD,1229,ZRH,1678,,0,320 32A LX,4559,MAN,478,ZRH,1678,,0,100 320 AR1 LX,4559,MIA,3576,ZRH,1678,,0,333 LX,4559,MLA,1606,ZRH,1678,Y,0,319 LX,4559,MUC,346,BSL,1423,Y,0,CR9 CR7 LX,4559,MUC,346,GVA,1665,Y,0,E95 CR9 LX,4559,MUC,346,ZRH,1678,,0,AR1 LX,4559,MXP,1524,ZRH,1678,,0,AR1 100 320 LX,4559,NBO,4059,DAR,1177,,0,333 LX,4559,NBO,4059,ZRH,1678,,0,333 LX,4559,NCE,1354,GVA,1665,,0,320 319 AR1 LX,4559,NCE,1354,ZRH,1678,,0,320 319 LX,4559,NRT,2279,ZRH,1678,,0,343 LX,4559,NSI,4161,BRU,302,Y,0,332 LX,4559,NSI,4161,DLA,897,Y,0,332 LX,4559,NUE,347,ZRH,1678,,0,AR1 100 LX,4559,OLB,1520,GVA,1665,,0,320 LX,4559,OPO,1636,GVA,1665,,0,319 320 LX,4559,OPO,1636,ZRH,1678,Y,0,320 319 LX,4559,ORD,3830,ZRH,1678,,0,333 LX,4559,OSL,644,ZRH,1678,,0,319 320 LX,4559,OTP,1657,ZRH,1678,Y,0,320 LX,4559,PEK,3364,ZRH,1678,,0,333 LX,4559,PMI,3998,GVA,1665,,0,320 LX,4559,PMI,3998,ZRH,1678,,0,321 320 LX,4559,PRG,1587,BSL,1423,Y,0,AR1 LX,4559,PRG,1587,GVA,1665,,0,320 319 LX,4559,PRG,1587,ZRH,1678,,0,AR1 LX,4559,PRN,1742,GVA,1665,,0,320 LX,4559,PRN,1742,ZRH,1678,Y,0,320 LX,4559,PUJ,1760,ZRH,1678,Y,0,333 LX,4559,PVG,3406,ZRH,1678,,0,343 LX,4559,RAK,1075,GVA,1665,,0,320 LX,4559,RAK,1075,ZRH,1678,Y,0,320 LX,4559,RMF,4197,ZRH,1678,Y,0,320 LX,4559,SFO,3469,ZRH,1678,,0,343 LX,4559,SIN,3316,ZRH,1678,,0,343 LX,4559,SKP,1737,ZRH,1678,Y,0,320 LX,4559,SPU,1206,ZRH,1678,Y,0,DH4 LX,4559,STR,350,ZRH,1678,,0,AR1 LX,4559,TFS,1056,ZRH,1678,Y,0,320 LX,4559,TLV,1590,GVA,1665,Y,0,738 LX,4559,TLV,1590,ZRH,1678,,0,333 343 32A LX,4559,TPA,3646,ZRH,1678,Y,0,333 LX,4559,TXL,351,ZRH,1678,,0,321 320 LX,4559,VCE,1551,ZRH,1678,,0,AR1 320 LX,4559,VIE,1613,BSL,1423,Y,0,DH4 LX,4559,VIE,1613,GVA,1665,Y,0,319 100 F70 LX,4559,VIE,1613,ZRH,1678,,0,320 32A 319 321 AR1 LX,4559,VLC,1246,ZRH,1678,,0,321 320 LX,4559,WAW,679,GVA,1665,Y,0,E75 LX,4559,WAW,679,ZRH,1678,,0,100 LX,4559,YUL,146,GVA,1665,Y,0,333 LX,4559,YUL,146,YYZ,193,Y,0,333 LX,4559,YUL,146,ZRH,1678,,0,333 LX,4559,YYZ,193,YUL,146,Y,0,333 LX,4559,YYZ,193,ZRH,1678,Y,0,333 LX,4559,ZAG,1208,ZRH,1678,Y,0,DH4 LX,4559,ZRH,1678,ACE,1055,Y,0,320 LX,4559,ZRH,1678,AGP,1230,,0,321 320 LX,4559,ZRH,1678,AMS,580,,0,320 AR1 LX,4559,ZRH,1678,ARN,737,,0,320 321 LX,4559,ZRH,1678,ATH,3941,,0,321 LX,4559,ZRH,1678,AYT,1688,Y,0,320 LX,4559,ZRH,1678,BCN,1218,,0,321 320 LX,4559,ZRH,1678,BEG,1739,,0,320 100 LX,4559,ZRH,1678,BHX,469,,0,100 AR1 LX,4559,ZRH,1678,BKK,3885,,0,343 LX,4559,ZRH,1678,BOM,2997,,0,333 LX,4559,ZRH,1678,BOS,3448,,0,333 LX,4559,ZRH,1678,BRU,302,,0,320 AR1 LX,4559,ZRH,1678,BUD,1489,,0,AR1 100 320 319 LX,4559,ZRH,1678,CAI,1128,,0,333 343 LX,4559,ZRH,1678,CDG,1382,,0,320 AR1 32A 319 LX,4559,ZRH,1678,CGN,344,,0,320 319 LX,4559,ZRH,1678,CPH,609,,0,321 320 LX,4559,ZRH,1678,CTA,1509,Y,0,320 LX,4559,ZRH,1678,DBV,1200,Y,0,DH4 LX,4559,ZRH,1678,DEL,3093,,0,333 LX,4559,ZRH,1678,DME,4029,,0,321 320 LX,4559,ZRH,1678,DUB,599,,0,321 LX,4559,ZRH,1678,DUS,345,,0,320 AR1 100 321 LX,4559,ZRH,1678,DXB,2188,,0,333 LX,4559,ZRH,1678,EWR,3494,,0,333 LX,4559,ZRH,1678,FCO,1555,,0,321 320 319 32A LX,4559,ZRH,1678,FLR,1563,Y,0,AR1 LX,4559,ZRH,1678,FNC,4091,Y,0,320 LX,4559,ZRH,1678,FRA,340,,0,320 AR1 LX,4559,ZRH,1678,FUE,1051,Y,0,320 LX,4559,ZRH,1678,GRU,2564,,0,343 LX,4559,ZRH,1678,GVA,1665,,0,319 320 AR1 321 32A LX,4559,ZRH,1678,HAJ,352,,0,AR1 100 320 LX,4559,ZRH,1678,HAM,342,,0,321 319 320 CRJ LX,4559,ZRH,1678,HAV,1909,Y,0,333 LX,4559,ZRH,1678,HER,1452,Y,0,320 333 LX,4559,ZRH,1678,HKG,3077,,0,343 LX,4559,ZRH,1678,HRG,1130,Y,0,320 LX,4559,ZRH,1678,IAD,3714,Y,0,763 764 LX,4559,ZRH,1678,IST,1701,,0,320 32A LX,4559,ZRH,1678,JFK,3797,,0,333 LX,4559,ZRH,1678,JNB,813,,0,343 333 LX,4559,ZRH,1678,KBP,2939,,0,320 32A 100 319 LX,4559,ZRH,1678,LAS,3877,,0,333 LX,4559,ZRH,1678,LAX,3484,,0,343 LX,4559,ZRH,1678,LCA,1197,Y,0,320 LX,4559,ZRH,1678,LCY,503,Y,0,AR1 LX,4559,ZRH,1678,LED,2948,,0,320 32A LX,4559,ZRH,1678,LHR,507,,0,320 321 32A LX,4559,ZRH,1678,LIS,1638,,0,32A 320 LX,4559,ZRH,1678,LJU,1569,Y,0,CR9 CR2 319 LX,4559,ZRH,1678,LPA,1054,Y,0,320 LX,4559,ZRH,1678,LUG,1675,Y,0,S20 LX,4559,ZRH,1678,LUX,629,,0,AR1 320 LX,4559,ZRH,1678,LYS,1335,,0,AR1 LX,4559,ZRH,1678,MAD,1229,,0,320 32A LX,4559,ZRH,1678,MAN,478,,0,100 320 AR1 LX,4559,ZRH,1678,MIA,3576,,0,333 LX,4559,ZRH,1678,MLA,1606,Y,0,319 LX,4559,ZRH,1678,MUC,346,,0,AR1 LX,4559,ZRH,1678,MXP,1524,,0,AR1 100 320 LX,4559,ZRH,1678,NBO,4059,,0,333 LX,4559,ZRH,1678,NCE,1354,,0,320 319 LX,4559,ZRH,1678,NRT,2279,,0,343 LX,4559,ZRH,1678,NUE,347,,0,100 AR1 LX,4559,ZRH,1678,OPO,1636,Y,0,320 319 LX,4559,ZRH,1678,ORD,3830,,0,333 LX,4559,ZRH,1678,OSL,644,,0,319 320 LX,4559,ZRH,1678,OTP,1657,Y,0,320 LX,4559,ZRH,1678,PEK,3364,,0,333 LX,4559,ZRH,1678,PMI,3998,,0,321 320 LX,4559,ZRH,1678,PRG,1587,,0,AR1 LX,4559,ZRH,1678,PRN,1742,Y,0,320 LX,4559,ZRH,1678,PUJ,1760,Y,0,333 LX,4559,ZRH,1678,PVG,3406,,0,343 LX,4559,ZRH,1678,RAK,1075,Y,0,320 LX,4559,ZRH,1678,RMF,4197,Y,0,320 LX,4559,ZRH,1678,SFO,3469,,0,343 LX,4559,ZRH,1678,SIN,3316,,0,343 LX,4559,ZRH,1678,SKP,1737,Y,0,320 LX,4559,ZRH,1678,SPU,1206,Y,0,DH4 LX,4559,ZRH,1678,STR,350,,0,AR1 LX,4559,ZRH,1678,TFS,1056,Y,0,320 LX,4559,ZRH,1678,TLV,1590,,0,343 32A 333 LX,4559,ZRH,1678,TPA,3646,Y,0,333 LX,4559,ZRH,1678,TXL,351,,0,320 321 LX,4559,ZRH,1678,VCE,1551,,0,AR1 320 LX,4559,ZRH,1678,VIE,1613,,0,32A 319 321 320 AR1 LX,4559,ZRH,1678,VLC,1246,,0,321 320 LX,4559,ZRH,1678,WAW,679,,0,100 LX,4559,ZRH,1678,YUL,146,,0,333 LX,4559,ZRH,1678,YYZ,193,Y,0,333 LX,4559,ZRH,1678,ZAG,1208,Y,0,DH4 LY,2150,AMS,580,TLV,1590,,0,738 739 763 LY,2150,ATH,3941,TLV,1590,,0,738 LY,2150,BCN,1218,TLV,1590,,0,763 744 738 LY,2150,BKK,3885,TLV,1590,,0,763 744 LY,2150,BOM,2997,TLV,1590,,0,763 LY,2150,BRU,302,TLV,1590,,0,73G 738 LY,2150,BUD,1489,TLV,1590,,0,738 LY,2150,CDG,1382,TLV,1590,,0,738 763 739 772 744 LY,2150,DME,4029,TLV,1590,,0,739 763 738 73G 772 LY,2150,EWR,3494,TLV,1590,,0,772 LY,2150,FCO,1555,TLV,1590,,0,73G 739 738 763 LY,2150,FRA,340,TLV,1590,,0,738 LY,2150,GVA,1665,TLV,1590,,0,738 LY,2150,HKG,3077,TLV,1590,,0,772 LY,2150,JFK,3797,TLV,1590,,0,744 LY,2150,JNB,813,TLV,1590,,0,763 LY,2150,KBP,2939,TLV,1590,,0,738 LY,2150,LAX,3484,TLV,1590,,0,772 LY,2150,LCA,1197,TLV,1590,,0,738 LY,2150,LED,2948,TLV,1590,,0,739 738 LY,2150,LHR,507,TLV,1590,,0,772 763 LY,2150,LTN,492,TLV,1590,,0,738 LY,2150,MAD,1229,TLV,1590,,0,739 738 LY,2150,MRS,1353,TLV,1590,,0,763 738 LY,2150,MUC,346,MAD,1229,,0,738 LY,2150,MUC,346,TLV,1590,,0,738 73G 763 LY,2150,MXP,1524,TLV,1590,,0,739 738 LY,2150,OTP,1657,TLV,1590,,0,738 739 LY,2150,PEK,3364,TLV,1590,,0,763 LY,2150,PRG,1587,TLV,1590,,0,738 LY,2150,SOF,1194,TLV,1590,,0,738 LY,2150,SXF,337,TLV,1590,,0,738 LY,2150,TLV,1590,AMS,580,,0,738 739 763 LY,2150,TLV,1590,ATH,3941,,0,738 LY,2150,TLV,1590,BCN,1218,,0,763 744 738 LY,2150,TLV,1590,BKK,3885,,0,763 744 LY,2150,TLV,1590,BOM,2997,,0,763 LY,2150,TLV,1590,BRU,302,,0,73G 738 LY,2150,TLV,1590,BUD,1489,,0,738 LY,2150,TLV,1590,CDG,1382,,0,738 763 739 772 744 LY,2150,TLV,1590,DME,4029,,0,739 763 738 73G 772 LY,2150,TLV,1590,EWR,3494,,0,772 LY,2150,TLV,1590,FCO,1555,,0,73G 738 739 763 LY,2150,TLV,1590,FRA,340,,0,738 LY,2150,TLV,1590,GVA,1665,,0,738 LY,2150,TLV,1590,HKG,3077,,0,772 LY,2150,TLV,1590,JFK,3797,,0,744 LY,2150,TLV,1590,JNB,813,,0,763 LY,2150,TLV,1590,KBP,2939,,0,738 LY,2150,TLV,1590,LAX,3484,,0,772 LY,2150,TLV,1590,LCA,1197,,0,738 LY,2150,TLV,1590,LED,2948,,0,739 738 LY,2150,TLV,1590,LHR,507,,0,772 763 LY,2150,TLV,1590,LTN,492,,0,738 LY,2150,TLV,1590,MAD,1229,,0,739 738 LY,2150,TLV,1590,MRS,1353,,0,738 763 LY,2150,TLV,1590,MUC,346,,0,738 73G 763 LY,2150,TLV,1590,MXP,1524,,0,738 739 LY,2150,TLV,1590,OTP,1657,,0,738 739 LY,2150,TLV,1590,PEK,3364,,0,763 LY,2150,TLV,1590,PRG,1587,,0,738 LY,2150,TLV,1590,SOF,1194,,0,738 LY,2150,TLV,1590,SXF,337,,0,738 LY,2150,TLV,1590,VCE,1551,,0,738 73G LY,2150,TLV,1590,VIE,1613,,0,738 73G LY,2150,TLV,1590,WAW,679,,0,738 73G LY,2150,TLV,1590,YYZ,193,,0,763 LY,2150,TLV,1590,ZRH,1678,,0,738 73G LY,2150,VCE,1551,TLV,1590,,0,738 73G LY,2150,VIE,1613,TLV,1590,,0,738 73G LY,2150,WAW,679,TLV,1590,,0,738 73G LY,2150,YYZ,193,TLV,1590,,0,763 LY,2150,ZRH,1678,TLV,1590,,0,738 73G M3,42,AAL,628,OSL,644,,0,SWM M3,42,OLA,655,OSL,644,,0,SWM M3,42,OSL,644,AAL,628,,0,SWM M3,42,OSL,644,OLA,655,,0,SWM M3,42,OSL,644,VDB,642,,0,SWM M3,42,VDB,642,OSL,644,,0,SWM M4,15893,ASW,1136,CAI,1128,,0,DH4 M4,15893,ATZ,5691,CAI,1128,,0,DH4 M4,15893,CAI,1128,ASW,1136,,0,DH4 M4,15893,CAI,1128,ATZ,5691,,0,DH4 M4,15893,CAI,1128,HBE,3410,,0,DH4 M4,15893,CAI,1128,HMB,8235,,0,DH4 M4,15893,CAI,1128,HRG,1130,,0,DH4 M4,15893,CAI,1128,LXR,1132,,0,DH4 M4,15893,CAI,1128,SSH,4057,,0,DH4 M4,15893,HBE,3410,CAI,1128,,0,DH4 M4,15893,HBE,3410,SSH,4057,,0,DH4 M4,15893,HMB,8235,CAI,1128,,0,DH4 M4,15893,HMB,8235,JED,2072,,0,DH4 M4,15893,HRG,1130,CAI,1128,,0,DH4 M4,15893,HRG,1130,SSH,4057,,0,DH4 M4,15893,JED,2072,HMB,8235,,0,DH4 M4,15893,LXR,1132,CAI,1128,,0,DH4 M4,15893,SSH,4057,CAI,1128,,0,DH4 M4,15893,SSH,4057,HBE,3410,,0,DH4 M5,3123,BFI,3726,CLM,5731,,0,CNC M5,3123,BFI,3726,ESD,7083,,0,CNC M5,3123,CLM,5731,BFI,3726,,0,CNC M5,3123,DHB,9540,RCE,8170,Y,0,DHP M5,3123,DHB,9540,WSX,8173,,0,DHP M5,3123,ESD,7083,FRD,7082,,0,CNC M5,3123,FBS,8174,LKE,6457,Y,0,DHP M5,3123,FBS,8174,RCE,8170,,0,DHP M5,3123,FRD,7082,BFI,3726,,0,CNC M5,3123,LKE,6457,FBS,8174,,0,DHP M5,3123,LKE,6457,SEA,3577,Y,0,DHL M5,3123,LKE,6457,YWH,4106,Y,0,DHL M5,3123,LPS,6136,WSX,8173,Y,0,DHP M5,3123,RCE,8170,DHB,9540,,0,DHP M5,3123,RCE,8170,FBS,8174,Y,0,DHP M5,3123,WSX,8173,DHB,9540,Y,0,DHP M5,3123,WSX,8173,LPS,6136,,0,DHP M5,3123,YWH,4106,LKE,6457,Y,0,DHL M6,246,ATM,2566,BEL,2526,,0,EM2 M6,246,ATM,2566,ORX,8259,,0,EM2 M6,246,BEL,2526,ATM,2566,,0,EM2 M6,246,BEL,2526,BVS,7370,,0,EMB M6,246,BEL,2526,MEU,\N,,0,EM2 M6,246,ITB,2568,STM,4092,,0,EM2 M6,246,MEU,\N,BEL,2526,,0,EM2 M6,246,MEU,\N,ORX,8259,,0,EM2 M6,246,MEU,\N,STM,4092,,0,EM2 M6,246,STM,4092,ITB,2568,,0,EM2 M6,246,STM,4092,MEU,\N,,0,EM2 M6,246,STM,4092,MTE,\N,,0,EMB M6,246,STM,4092,ORX,8259,,0,EM2 M9,3547,IEV,2944,OZH,6103,,0,AN4 M9,3547,IEV,2944,UDJ,6109,,0,A40 M9,3547,OZH,6103,IEV,2944,,0,AN4 M9,3547,OZH,6103,VKO,2988,,0,AN4 M9,3547,UDJ,6109,IEV,2944,,0,A40 M9,3547,VKO,2988,OZH,6103,,0,AN4 MD,1066,ANM,927,TMM,921,,0,AT5 DHT MD,1066,ANM,927,TNR,918,,0,AT5 MD,1066,ANM,927,WMN,932,,0,DHT AT5 MD,1066,BKK,3885,CAN,3370,,0,343 MD,1066,BKK,3885,HKG,3077,Y,0,747 MD,1066,BKK,3885,KUL,3304,Y,0,333 MD,1066,BKK,3885,SIN,3316,Y,0,777 MD,1066,BKK,3885,TNR,918,,0,343 MD,1066,CAN,3370,BKK,3885,,0,343 MD,1066,CDG,1382,TNR,918,,0,343 MD,1066,DIE,923,DZA,915,,0,733 MD,1066,DIE,923,NOS,930,,0,733 MD,1066,DIE,923,RUN,916,,0,733 MD,1066,DIE,923,SVB,933,,0,733 MD,1066,DIE,923,TNR,918,,0,733 AT7 MD,1066,DZA,915,DIE,923,,0,733 MD,1066,DZA,915,MJN,929,,0,AT7 MD,1066,DZA,915,TNR,918,,0,AT7 733 MD,1066,FTU,937,TLE,943,,0,733 MD,1066,FTU,937,TNR,918,,0,733 AT7 MD,1066,HAH,912,TNR,918,,0,733 AT7 MD,1066,HKG,3077,BKK,3885,Y,0,747 MD,1066,JNB,813,TNR,918,,0,733 MD,1066,KUL,3304,BKK,3885,Y,0,333 MD,1066,MJN,929,DZA,915,,0,AT7 MD,1066,MJN,929,TNR,918,,0,AT7 AT5 MD,1066,MOQ,922,TLE,943,,0,AT7 MD,1066,MOQ,922,TNR,918,,0,DHT AT7 MD,1066,MRS,1353,TNR,918,,0,343 MD,1066,MRU,893,TNR,918,,0,733 MD,1066,NOS,930,DIE,923,,0,733 MD,1066,NOS,930,TNR,918,,0,733 AT7 MD,1066,RUN,916,DIE,923,,0,733 MD,1066,RUN,916,SMS,920,,0,AT5 AT7 MD,1066,RUN,916,TNR,918,,0,733 MD,1066,SIN,3316,BKK,3885,Y,0,777 MD,1066,SMS,920,RUN,916,,0,AT5 MD,1066,SMS,920,TMM,921,,0,AT5 AT7 MD,1066,SMS,920,TNR,918,,0,AT7 AT5 MD,1066,SVB,933,DIE,923,,0,733 MD,1066,SVB,933,TNR,918,,0,733 MD,1066,SVB,933,WMN,932,,0,AT7 MD,1066,TLE,943,FTU,937,,0,733 MD,1066,TLE,943,MOQ,922,,0,AT7 MD,1066,TLE,943,TNR,918,,0,733 AT7 MD,1066,TMM,921,ANM,927,,0,AT5 DHT MD,1066,TMM,921,RUN,916,,0,AT5 MD,1066,TMM,921,SMS,920,,0,AT7 AT5 MD,1066,TMM,921,TNR,918,,0,DHT AT5 AT7 MD,1066,TMM,921,WMN,932,,0,DHT MD,1066,TMM,921,WMR,924,,0,DHT MD,1066,TNR,918,ANM,927,,0,AT5 MD,1066,TNR,918,BKK,3885,,0,343 MD,1066,TNR,918,CDG,1382,,0,343 MD,1066,TNR,918,DIE,923,,0,733 AT7 MD,1066,TNR,918,DZA,915,,0,AT7 733 MD,1066,TNR,918,FTU,937,,0,733 AT7 MD,1066,TNR,918,HAH,912,,0,733 AT7 MD,1066,TNR,918,JNB,813,,0,733 MD,1066,TNR,918,MJN,929,,0,AT7 AT5 MD,1066,TNR,918,MOQ,922,,0,DHT AT7 MD,1066,TNR,918,MRS,1353,,0,343 MD,1066,TNR,918,MRU,893,,0,733 MD,1066,TNR,918,NOS,930,,0,733 AT7 MD,1066,TNR,918,RUN,916,,0,733 MD,1066,TNR,918,SMS,920,,0,AT7 AT5 MD,1066,TNR,918,SVB,933,,0,733 MD,1066,TNR,918,TLE,943,,0,733 AT7 MD,1066,TNR,918,TMM,921,,0,DHT AT7 AT5 MD,1066,TNR,918,WMN,932,,0,AT5 AT7 MD,1066,WMN,932,ANM,927,,0,DHT AT5 MD,1066,WMN,932,SVB,933,,0,AT7 MD,1066,WMN,932,TMM,921,,0,DHT MD,1066,WMN,932,TNR,918,,0,AT5 AT7 MD,1066,WMR,924,TMM,921,,0,DHT ME,3490,ABJ,253,ACC,248,,0,332 ME,3490,ABJ,253,LOS,273,,0,332 ME,3490,ACC,248,ABJ,253,,0,332 ME,3490,ACC,248,BEY,2177,,0,332 ME,3490,AMM,2170,BEY,2177,,0,321 320 ME,3490,ATH,3941,BEY,2177,,0,320 ME,3490,AUH,2179,BEY,2177,,0,320 ME,3490,BEY,2177,ACC,248,,0,332 ME,3490,BEY,2177,AMM,2170,,0,321 320 ME,3490,BEY,2177,ATH,3941,,0,320 ME,3490,BEY,2177,AUH,2179,,0,320 ME,3490,BEY,2177,BGW,4130,,0,321 320 ME,3490,BEY,2177,BRU,302,,0,320 ME,3490,BEY,2177,BSR,2234,,0,320 ME,3490,BEY,2177,CAI,1128,,0,320 321 ME,3490,BEY,2177,CDG,1382,,0,332 ME,3490,BEY,2177,DMM,2064,,0,320 ME,3490,BEY,2177,DOH,11051,,0,320 ME,3490,BEY,2177,DXB,2188,,0,332 320 ME,3490,BEY,2177,EBL,3989,,0,321 320 ME,3490,BEY,2177,EVN,3964,,0,320 ME,3490,BEY,2177,FCO,1555,,0,32S 320 319 ME,3490,BEY,2177,FRA,340,,0,320 ME,3490,BEY,2177,GVA,1665,,0,320 ME,3490,BEY,2177,IST,1701,,0,320 332 321 ME,3490,BEY,2177,JED,2072,,0,320 332 ME,3490,BEY,2177,KAN,270,,0,332 ME,3490,BEY,2177,KWI,2176,,0,320 ME,3490,BEY,2177,LCA,1197,,0,321 320 ME,3490,BEY,2177,LHR,507,,0,320 332 ME,3490,BEY,2177,LOS,273,,0,332 ME,3490,BEY,2177,MED,2074,,0,320 ME,3490,BEY,2177,MXP,1524,,0,320 ME,3490,BEY,2177,NJF,7490,,0,321 ME,3490,BEY,2177,OTP,1657,,0,73W ME,3490,BEY,2177,RUH,2082,,0,320 332 321 ME,3490,BEY,2177,SVO,2985,,0,320 319 ME,3490,BEY,2177,TUN,287,Y,0,320 ME,3490,BGW,4130,BEY,2177,,0,321 320 ME,3490,BRU,302,BEY,2177,,0,320 ME,3490,BSR,2234,BEY,2177,,0,320 ME,3490,CAI,1128,BEY,2177,,0,320 321 ME,3490,CDG,1382,BEY,2177,,0,332 ME,3490,DMM,2064,BEY,2177,,0,320 ME,3490,DOH,11051,BEY,2177,,0,320 ME,3490,DXB,2188,BEY,2177,,0,332 320 ME,3490,EBL,3989,BEY,2177,,0,321 320 ME,3490,EVN,3964,BEY,2177,,0,320 ME,3490,FCO,1555,BEY,2177,,0,32S 319 320 ME,3490,FRA,340,BEY,2177,,0,320 ME,3490,GVA,1665,BEY,2177,,0,320 ME,3490,IST,1701,BEY,2177,,0,320 332 321 ME,3490,JED,2072,BEY,2177,,0,320 332 ME,3490,KAN,270,BEY,2177,,0,332 ME,3490,KWI,2176,BEY,2177,,0,320 ME,3490,LCA,1197,BEY,2177,,0,321 320 ME,3490,LHR,507,BEY,2177,,0,320 332 ME,3490,LOS,273,ABJ,253,,0,332 ME,3490,LOS,273,BEY,2177,,0,332 ME,3490,MXP,1524,BEY,2177,,0,320 ME,3490,NJF,7490,BEY,2177,,0,321 ME,3490,OTP,1657,BEY,2177,Y,0,73W ME,3490,RUH,2082,BEY,2177,,0,320 332 321 ME,3490,SVO,2985,BEY,2177,,0,319 320 ME,3490,TUN,287,BEY,2177,Y,0,320 MF,5484,BKK,3885,FOC,3385,,0,738 MF,5484,BKK,3885,XMN,3383,,0,738 MF,5484,CAN,3370,FOC,3385,,0,737 MF,5484,CAN,3370,HGH,3386,,0,737 MF,5484,CAN,3370,JJN,6386,,0,737 MF,5484,CAN,3370,XMN,3383,,0,737 MF,5484,CGK,3275,FOC,3385,,0,738 MF,5484,CGK,3275,SIN,3316,,0,738 MF,5484,CGK,3275,XMN,3383,,0,738 MF,5484,CGO,3375,FOC,3385,,0,737 738 MF,5484,CGO,3375,HGH,3386,,0,737 MF,5484,CGO,3375,HRB,3400,,0,737 MF,5484,CGO,3375,INC,4085,,0,737 MF,5484,CGO,3375,LHW,3378,,0,737 MF,5484,CGO,3375,URC,3399,,0,737 MF,5484,CGO,3375,XMN,3383,,0,738 737 MF,5484,CGO,3375,XNN,6366,,0,737 MF,5484,CGQ,4380,HGH,3386,,0,737 MF,5484,CGQ,4380,NGB,3387,,0,737 MF,5484,CGQ,4380,NKG,3388,,0,737 MF,5484,CGQ,4380,TAO,3390,,0,737 MF,5484,CJU,2370,FOC,3385,,0,738 MF,5484,CJU,2370,XMN,3383,,0,738 MF,5484,CKG,3393,CSX,3371,,0,737 MF,5484,CKG,3393,FOC,3385,,0,737 MF,5484,CKG,3393,HGH,3386,,0,737 MF,5484,CKG,3393,KHN,3384,,0,737 MF,5484,CKG,3393,KWL,3372,,0,737 MF,5484,CKG,3393,LJG,4033,,0,737 MF,5484,CKG,3393,LXA,4097,,0,737 MF,5484,CKG,3393,TSN,3368,,0,737 MF,5484,CKG,3393,WUH,3376,,0,737 MF,5484,CKG,3393,XIY,3379,,0,737 MF,5484,CKG,3393,XMN,3383,,0,737 MF,5484,CKG,3393,XNN,6366,,0,737 MF,5484,CKG,3393,YIH,6361,,0,737 MF,5484,CSX,3371,CKG,3393,,0,737 MF,5484,CSX,3371,CTU,3395,,0,737 MF,5484,CSX,3371,FOC,3385,,0,737 MF,5484,CSX,3371,HET,6345,,0,737 MF,5484,CSX,3371,HGH,3386,,0,737 MF,5484,CSX,3371,JJN,6386,,0,737 MF,5484,CSX,3371,KWE,3394,,0,737 MF,5484,CSX,3371,LHW,3378,,0,737 MF,5484,CSX,3371,LZO,6399,,0,737 MF,5484,CSX,3371,MIG,6400,,0,737 MF,5484,CSX,3371,PEK,3364,,0,737 MF,5484,CSX,3371,TAO,3390,,0,737 MF,5484,CSX,3371,TPE,2276,,0,738 330 MF,5484,CSX,3371,TYN,3369,,0,737 MF,5484,CSX,3371,URC,3399,,0,737 MF,5484,CSX,3371,XIY,3379,,0,737 MF,5484,CSX,3371,XMN,3383,,0,737 MF,5484,CTU,3395,CSX,3371,,0,737 MF,5484,CTU,3395,FOC,3385,,0,737 MF,5484,CTU,3395,HGH,3386,,0,737 MF,5484,CTU,3395,WUH,3376,,0,737 MF,5484,CTU,3395,XMN,3383,,0,737 MF,5484,CZX,4109,FOC,3385,,0,737 MF,5484,CZX,4109,TYN,3369,,0,737 MF,5484,DAT,6344,TYN,3369,,0,737 MF,5484,DLC,3404,FOC,3385,,0,738 MF,5484,DLC,3404,HGH,3386,,0,738 MF,5484,DLC,3404,TAO,3390,,0,737 MF,5484,DLC,3404,TNA,4108,,0,737 MF,5484,DLC,3404,TSN,3368,,0,737 MF,5484,DLC,3404,XMN,3383,,0,738 MF,5484,FOC,3385,BKK,3885,,0,738 MF,5484,FOC,3385,CAN,3370,,0,737 MF,5484,FOC,3385,CGK,3275,,0,738 MF,5484,FOC,3385,CGO,3375,,0,737 738 MF,5484,FOC,3385,CJU,2370,,0,738 MF,5484,FOC,3385,CKG,3393,,0,737 MF,5484,FOC,3385,CSX,3371,,0,737 MF,5484,FOC,3385,CTU,3395,,0,737 MF,5484,FOC,3385,CZX,4109,,0,737 MF,5484,FOC,3385,DLC,3404,,0,738 MF,5484,FOC,3385,HAK,4120,,0,737 MF,5484,FOC,3385,HGH,3386,,0,737 738 MF,5484,FOC,3385,HRB,3400,,0,737 MF,5484,FOC,3385,KHH,2264,,0,737 738 MF,5484,FOC,3385,KMG,3382,,0,737 MF,5484,FOC,3385,KUL,3304,,0,738 MF,5484,FOC,3385,KWE,3394,,0,737 MF,5484,FOC,3385,KWL,3372,,0,737 MF,5484,FOC,3385,MFM,3121,,0,738 MF,5484,FOC,3385,NKG,3388,,0,737 MF,5484,FOC,3385,NNG,3373,,0,737 MF,5484,FOC,3385,PEK,3364,,0,737 MF,5484,FOC,3385,SHA,3391,,0,737 MF,5484,FOC,3385,SIN,3316,,0,738 MF,5484,FOC,3385,SYX,4030,,0,737 MF,5484,FOC,3385,SZX,3374,,0,737 MF,5484,FOC,3385,TAO,3390,,0,737 MF,5484,FOC,3385,TNA,4108,,0,737 MF,5484,FOC,3385,TPE,2276,,0,738 MF,5484,FOC,3385,TSA,2275,,0,737 738 MF,5484,FOC,3385,TSN,3368,,0,738 MF,5484,FOC,3385,TYN,3369,,0,737 MF,5484,FOC,3385,WUH,3376,,0,737 MF,5484,FOC,3385,XIY,3379,,0,737 MF,5484,FOC,3385,ZUH,6355,,0,737 MF,5484,HAK,4120,FOC,3385,,0,737 MF,5484,HAK,4120,HGH,3386,,0,737 MF,5484,HAK,4120,XMN,3383,,0,737 MF,5484,HET,6345,CSX,3371,,0,737 MF,5484,HET,6345,HGH,3386,,0,737 MF,5484,HET,6345,NKG,3388,,0,737 MF,5484,HET,6345,TNA,4108,,0,737 MF,5484,HET,6345,TSN,3368,,0,737 MF,5484,HFE,3389,TYN,3369,,0,737 MF,5484,HFE,3389,XMN,3383,,0,737 MF,5484,HGH,3386,CAN,3370,,0,737 MF,5484,HGH,3386,CGO,3375,,0,737 MF,5484,HGH,3386,CGQ,4380,,0,737 MF,5484,HGH,3386,CKG,3393,,0,737 MF,5484,HGH,3386,CSX,3371,,0,737 MF,5484,HGH,3386,CTU,3395,,0,737 MF,5484,HGH,3386,DLC,3404,,0,738 MF,5484,HGH,3386,FOC,3385,,0,738 737 MF,5484,HGH,3386,HAK,4120,,0,737 MF,5484,HGH,3386,HET,6345,,0,737 MF,5484,HGH,3386,HRB,3400,,0,737 MF,5484,HGH,3386,JJN,6386,,0,737 MF,5484,HGH,3386,KMG,3382,,0,737 MF,5484,HGH,3386,KWE,3394,,0,737 MF,5484,HGH,3386,LJG,4033,,0,737 MF,5484,HGH,3386,MFM,3121,,0,738 MF,5484,HGH,3386,NNG,3373,,0,737 MF,5484,HGH,3386,PEK,3364,,0,737 MF,5484,HGH,3386,SHE,4144,,0,737 MF,5484,HGH,3386,SJW,6347,,0,737 MF,5484,HGH,3386,SYX,4030,,0,737 MF,5484,HGH,3386,SZX,3374,,0,737 MF,5484,HGH,3386,TAO,3390,,0,737 MF,5484,HGH,3386,TNA,4108,,0,737 MF,5484,HGH,3386,TPE,2276,,0,738 MF,5484,HGH,3386,TSN,3368,,0,737 MF,5484,HGH,3386,TYN,3369,,0,737 MF,5484,HGH,3386,WUH,3376,,0,737 MF,5484,HGH,3386,XIY,3379,,0,737 MF,5484,HGH,3386,XMN,3383,,0,737 MF,5484,HKG,3077,JJN,6386,,0,738 MF,5484,HKG,3077,WUS,6391,,0,738 MF,5484,HKG,3077,XMN,3383,,0,738 MF,5484,HRB,3400,CGO,3375,,0,737 MF,5484,HRB,3400,FOC,3385,,0,737 MF,5484,HRB,3400,HGH,3386,,0,737 MF,5484,HRB,3400,KHN,3384,,0,737 MF,5484,HRB,3400,NKG,3388,,0,737 MF,5484,HRB,3400,TAO,3390,,0,737 MF,5484,HRB,3400,TSN,3368,,0,737 MF,5484,HRB,3400,YNZ,6393,,0,737 MF,5484,HSN,6395,JJN,6386,,0,737 MF,5484,HSN,6395,PEK,3364,,0,737 MF,5484,HSN,6395,XMN,3383,,0,737 MF,5484,ICN,3930,XMN,3383,,0,73H 738 73J MF,5484,INC,4085,CGO,3375,,0,737 MF,5484,INC,4085,WUH,3376,,0,737 MF,5484,INC,4085,XIY,3379,,0,737 MF,5484,JJN,6386,CAN,3370,,0,737 MF,5484,JJN,6386,CSX,3371,,0,737 MF,5484,JJN,6386,HGH,3386,,0,737 MF,5484,JJN,6386,HKG,3077,,0,738 MF,5484,JJN,6386,HSN,6395,,0,737 MF,5484,JJN,6386,KWE,3394,,0,737 MF,5484,JJN,6386,MFM,3121,,0,738 MF,5484,JJN,6386,NKG,3388,,0,737 MF,5484,JJN,6386,PEK,3364,,0,737 MF,5484,JJN,6386,SHA,3391,,0,737 MF,5484,JJN,6386,SZX,3374,,0,737 MF,5484,JJN,6386,TPE,2276,,0,738 MF,5484,JJN,6386,WUH,3376,,0,737 MF,5484,JUH,9843,XMN,3383,,0,737 MF,5484,KHH,2264,FOC,3385,,0,737 738 MF,5484,KHH,2264,XMN,3383,,0,E90 738 MF,5484,KHN,3384,CKG,3393,,0,737 MF,5484,KHN,3384,HRB,3400,,0,737 MF,5484,KHN,3384,KMG,3382,,0,737 MF,5484,KHN,3384,SZX,3374,,0,737 MF,5484,KHN,3384,XIY,3379,,0,737 MF,5484,KHN,3384,XMN,3383,,0,737 MF,5484,KMG,3382,FOC,3385,,0,737 MF,5484,KMG,3382,HGH,3386,,0,737 MF,5484,KMG,3382,KHN,3384,,0,737 MF,5484,KMG,3382,KWE,3394,,0,737 MF,5484,KMG,3382,WUH,3376,,0,737 MF,5484,KMG,3382,XMN,3383,,0,737 MF,5484,KUL,3304,FOC,3385,,0,738 MF,5484,KUL,3304,XMN,3383,,0,738 MF,5484,KWE,3394,CSX,3371,,0,737 MF,5484,KWE,3394,FOC,3385,,0,737 MF,5484,KWE,3394,HGH,3386,,0,737 MF,5484,KWE,3394,JJN,6386,,0,737 MF,5484,KWE,3394,KMG,3382,,0,737 MF,5484,KWE,3394,XMN,3383,,0,737 MF,5484,KWL,3372,CKG,3393,,0,737 MF,5484,KWL,3372,FOC,3385,,0,737 MF,5484,KWL,3372,XMN,3383,,0,737 MF,5484,LHW,3378,CGO,3375,,0,737 MF,5484,LHW,3378,CSX,3371,,0,737 MF,5484,LHW,3378,WUH,3376,,0,737 MF,5484,LJG,4033,CKG,3393,,0,737 MF,5484,LJG,4033,HGH,3386,,0,737 MF,5484,LXA,4097,CKG,3393,,0,737 MF,5484,LZO,6399,CSX,3371,,0,737 MF,5484,MFM,3121,FOC,3385,,0,738 MF,5484,MFM,3121,HGH,3386,,0,738 MF,5484,MFM,3121,JJN,6386,,0,738 MF,5484,MFM,3121,XMN,3383,,0,738 MF,5484,MIG,6400,CSX,3371,,0,737 MF,5484,NGB,3387,CGQ,4380,,0,737 MF,5484,NGB,3387,XMN,3383,,0,737 MF,5484,NKG,3388,CGQ,4380,,0,737 MF,5484,NKG,3388,FOC,3385,,0,737 MF,5484,NKG,3388,HET,6345,,0,737 MF,5484,NKG,3388,HRB,3400,,0,737 MF,5484,NKG,3388,JJN,6386,,0,737 MF,5484,NKG,3388,SHE,4144,,0,737 MF,5484,NKG,3388,XIY,3379,,0,737 MF,5484,NKG,3388,XMN,3383,,0,737 MF,5484,NNG,3373,FOC,3385,,0,737 MF,5484,NNG,3373,HGH,3386,,0,737 MF,5484,NNG,3373,SZX,3374,,0,737 MF,5484,NNG,3373,XMN,3383,,0,737 MF,5484,PEK,3364,CSX,3371,,0,737 MF,5484,PEK,3364,FOC,3385,,0,737 MF,5484,PEK,3364,HGH,3386,,0,737 MF,5484,PEK,3364,HSN,6395,,0,737 MF,5484,PEK,3364,JJN,6386,,0,737 MF,5484,PEK,3364,WUS,6391,,0,737 MF,5484,PEK,3364,XMN,3383,,0,737 MF,5484,SHA,3391,FOC,3385,,0,737 MF,5484,SHA,3391,JJN,6386,,0,737 MF,5484,SHA,3391,XMN,3383,,0,737 MF,5484,SHE,4144,HGH,3386,,0,737 MF,5484,SHE,4144,NKG,3388,,0,737 MF,5484,SHE,4144,TAO,3390,,0,737 MF,5484,SHE,4144,TNA,4108,,0,737 MF,5484,SHE,4144,XMN,3383,,0,737 MF,5484,SIN,3316,CGK,3275,,0,738 332 333 MF,5484,SIN,3316,FOC,3385,,0,738 MF,5484,SIN,3316,XMN,3383,,0,738 MF,5484,SJW,6347,HGH,3386,,0,737 MF,5484,SYX,4030,FOC,3385,,0,737 MF,5484,SYX,4030,HGH,3386,,0,737 MF,5484,SYX,4030,XMN,3383,,0,737 MF,5484,SZX,3374,FOC,3385,,0,737 MF,5484,SZX,3374,HGH,3386,,0,737 MF,5484,SZX,3374,JJN,6386,,0,737 MF,5484,SZX,3374,KHN,3384,,0,737 MF,5484,SZX,3374,NNG,3373,,0,737 MF,5484,SZX,3374,TSN,3368,,0,737 MF,5484,SZX,3374,XMN,3383,,0,737 MF,5484,TAO,3390,CGQ,4380,,0,737 MF,5484,TAO,3390,CSX,3371,,0,737 MF,5484,TAO,3390,DLC,3404,,0,737 MF,5484,TAO,3390,FOC,3385,,0,737 MF,5484,TAO,3390,HGH,3386,,0,737 MF,5484,TAO,3390,HRB,3400,,0,737 MF,5484,TAO,3390,SHE,4144,,0,737 MF,5484,TAO,3390,XMN,3383,,0,737 MF,5484,TNA,4108,DLC,3404,,0,737 MF,5484,TNA,4108,FOC,3385,,0,737 MF,5484,TNA,4108,HET,6345,,0,737 MF,5484,TNA,4108,HGH,3386,,0,737 MF,5484,TNA,4108,SHE,4144,,0,737 MF,5484,TNA,4108,URC,3399,,0,737 MF,5484,TNA,4108,WUH,3376,,0,737 MF,5484,TNA,4108,XMN,3383,,0,737 MF,5484,TPE,2276,CSX,3371,,0,738 330 MF,5484,TPE,2276,FOC,3385,,0,738 MF,5484,TPE,2276,HGH,3386,,0,738 MF,5484,TPE,2276,JJN,6386,,0,738 MF,5484,TPE,2276,XMN,3383,,0,330 738 MF,5484,TSA,2275,FOC,3385,,0,737 738 MF,5484,TSA,2275,XMN,3383,,0,738 MF,5484,TSN,3368,CKG,3393,,0,737 MF,5484,TSN,3368,DLC,3404,,0,737 MF,5484,TSN,3368,FOC,3385,,0,738 MF,5484,TSN,3368,HET,6345,,0,737 MF,5484,TSN,3368,HGH,3386,,0,737 MF,5484,TSN,3368,HRB,3400,,0,737 MF,5484,TSN,3368,SZX,3374,,0,737 MF,5484,TSN,3368,WUH,3376,,0,737 MF,5484,TSN,3368,XIY,3379,,0,737 MF,5484,TSN,3368,XMN,3383,,0,738 737 MF,5484,TXN,6387,TYN,3369,,0,737 MF,5484,TXN,6387,XMN,3383,,0,737 MF,5484,TYN,3369,CSX,3371,,0,737 MF,5484,TYN,3369,CZX,4109,,0,737 MF,5484,TYN,3369,DAT,6344,,0,737 MF,5484,TYN,3369,FOC,3385,,0,737 MF,5484,TYN,3369,HFE,3389,,0,737 MF,5484,TYN,3369,HGH,3386,,0,737 MF,5484,TYN,3369,TXN,6387,,0,737 MF,5484,TYN,3369,XMN,3383,,0,737 MF,5484,URC,3399,CGO,3375,,0,737 MF,5484,URC,3399,CSX,3371,,0,737 MF,5484,URC,3399,TNA,4108,,0,737 MF,5484,URC,3399,WUH,3376,,0,737 MF,5484,URC,3399,XIY,3379,,0,737 MF,5484,WUH,3376,CKG,3393,,0,737 MF,5484,WUH,3376,CTU,3395,,0,737 MF,5484,WUH,3376,FOC,3385,,0,737 MF,5484,WUH,3376,HGH,3386,,0,737 MF,5484,WUH,3376,INC,4085,,0,737 MF,5484,WUH,3376,JJN,6386,,0,737 MF,5484,WUH,3376,KMG,3382,,0,737 MF,5484,WUH,3376,LHW,3378,,0,737 MF,5484,WUH,3376,TNA,4108,,0,737 MF,5484,WUH,3376,TSN,3368,,0,737 MF,5484,WUH,3376,URC,3399,,0,737 MF,5484,WUH,3376,XMN,3383,,0,737 MF,5484,WUS,6391,HKG,3077,,0,738 MF,5484,WUS,6391,PEK,3364,,0,737 MF,5484,WUS,6391,XMN,3383,,0,737 MF,5484,WXN,6403,XIY,3379,,0,737 MF,5484,WXN,6403,XMN,3383,,0,737 MF,5484,XIY,3379,CKG,3393,,0,737 MF,5484,XIY,3379,CSX,3371,,0,737 MF,5484,XIY,3379,FOC,3385,,0,737 MF,5484,XIY,3379,HGH,3386,,0,737 MF,5484,XIY,3379,INC,4085,,0,737 MF,5484,XIY,3379,KHN,3384,,0,737 MF,5484,XIY,3379,NKG,3388,,0,737 MF,5484,XIY,3379,TSN,3368,,0,737 MF,5484,XIY,3379,URC,3399,,0,737 MF,5484,XIY,3379,WXN,6403,,0,737 MF,5484,XIY,3379,XMN,3383,,0,737 MF,5484,XIY,3379,XNN,6366,,0,737 MF,5484,XMN,3383,BKK,3885,,0,738 MF,5484,XMN,3383,CAN,3370,,0,737 MF,5484,XMN,3383,CGK,3275,,0,738 MF,5484,XMN,3383,CGO,3375,,0,737 738 MF,5484,XMN,3383,CJU,2370,,0,738 MF,5484,XMN,3383,CKG,3393,,0,737 MF,5484,XMN,3383,CSX,3371,,0,737 MF,5484,XMN,3383,CTU,3395,,0,737 MF,5484,XMN,3383,DLC,3404,,0,738 MF,5484,XMN,3383,HAK,4120,,0,737 MF,5484,XMN,3383,HFE,3389,,0,737 MF,5484,XMN,3383,HGH,3386,,0,737 MF,5484,XMN,3383,HKG,3077,,0,738 MF,5484,XMN,3383,HSN,6395,,0,737 MF,5484,XMN,3383,ICN,3930,,0,73H 738 73J MF,5484,XMN,3383,JUH,9843,,0,737 MF,5484,XMN,3383,KHH,2264,,0,E90 738 MF,5484,XMN,3383,KHN,3384,,0,737 MF,5484,XMN,3383,KMG,3382,,0,737 MF,5484,XMN,3383,KUL,3304,,0,738 MF,5484,XMN,3383,KWE,3394,,0,737 MF,5484,XMN,3383,KWL,3372,,0,737 MF,5484,XMN,3383,MFM,3121,,0,738 MF,5484,XMN,3383,NGB,3387,,0,737 MF,5484,XMN,3383,NKG,3388,,0,737 MF,5484,XMN,3383,NNG,3373,,0,737 MF,5484,XMN,3383,PEK,3364,,0,737 MF,5484,XMN,3383,SHA,3391,,0,737 MF,5484,XMN,3383,SHE,4144,,0,737 MF,5484,XMN,3383,SIN,3316,,0,738 MF,5484,XMN,3383,SYX,4030,,0,737 MF,5484,XMN,3383,SZX,3374,,0,737 MF,5484,XMN,3383,TAO,3390,,0,737 MF,5484,XMN,3383,TNA,4108,,0,737 MF,5484,XMN,3383,TPE,2276,,0,738 330 MF,5484,XMN,3383,TSA,2275,,0,738 MF,5484,XMN,3383,TSN,3368,,0,738 737 MF,5484,XMN,3383,TXN,6387,,0,737 MF,5484,XMN,3383,TYN,3369,,0,737 MF,5484,XMN,3383,WUH,3376,,0,737 MF,5484,XMN,3383,WUS,6391,,0,737 MF,5484,XMN,3383,WXN,6403,,0,737 MF,5484,XMN,3383,XIY,3379,,0,737 MF,5484,XMN,3383,YIH,6361,,0,737 MF,5484,XMN,3383,YNZ,6393,,0,737 MF,5484,XMN,3383,ZUH,6355,,0,737 MF,5484,XNN,6366,CGO,3375,,0,737 MF,5484,XNN,6366,CKG,3393,,0,737 MF,5484,XNN,6366,XIY,3379,,0,737 MF,5484,YIH,6361,CKG,3393,,0,737 MF,5484,YIH,6361,XMN,3383,,0,737 MF,5484,YNZ,6393,HRB,3400,,0,737 MF,5484,YNZ,6393,XMN,3383,,0,737 MF,5484,ZUH,6355,FOC,3385,,0,737 MF,5484,ZUH,6355,XMN,3383,,0,737 MH,3378,ADL,3341,KUL,3304,,0,333 MH,3378,AKL,2006,KUL,3304,,0,772 MH,3378,AMM,2170,BKK,3885,Y,0,330 MH,3378,AMS,580,HEL,421,Y,0,320 MH,3378,AMS,580,KUL,3304,,0,772 MH,3378,AMS,580,ZRH,1678,Y,0,737 MH,3378,AOR,3296,KUL,3304,,0,738 734 MH,3378,AOR,3296,SZB,3408,Y,0,AT7 MH,3378,ATL,3682,ORD,3830,Y,0,E75 CR7 MH,3378,AUH,2179,KUL,3304,,0,333 MH,3378,AUH,2179,KWI,2176,,0,320 MH,3378,AUH,2179,MCT,2194,Y,0,320 MH,3378,BAH,2057,BKK,3885,,0,330 332 MH,3378,BBN,6220,MUR,3265,Y,0,DHT MH,3378,BBN,6220,MYY,3266,Y,0,DHT MH,3378,BKI,3269,BTU,3262,Y,0,AT7 MH,3378,BKI,3269,BWN,3272,,0,320 MH,3378,BKI,3269,HKG,3077,,0,738 320 MH,3378,BKI,3269,ICN,3930,Y,0,738 MH,3378,BKI,3269,KCH,3263,,0,738 MH,3378,BKI,3269,KUD,6222,Y,0,DHT MH,3378,BKI,3269,KUL,3304,,0,738 734 MH,3378,BKI,3269,LBU,3270,,0,738 AT7 MH,3378,BKI,3269,LDU,3268,Y,0,AT7 MH,3378,BKI,3269,LWY,6219,Y,0,DHT MH,3378,BKI,3269,MYY,3266,Y,0,AT7 MH,3378,BKI,3269,MZV,4056,,0,AT7 MH,3378,BKI,3269,NRT,2279,,0,738 MH,3378,BKI,3269,PER,3351,,0,738 MH,3378,BKI,3269,PPS,2433,,0,AT7 MH,3378,BKI,3269,PVG,3406,,0,738 MH,3378,BKI,3269,SBW,3267,Y,0,AT7 MH,3378,BKI,3269,SDK,4141,,0,738 AT7 MH,3378,BKI,3269,SIN,3316,Y,0,320 319 MH,3378,BKI,3269,TPE,2276,,0,738 MH,3378,BKI,3269,TWU,3271,,0,738 MH,3378,BKK,3885,AMM,2170,Y,0,330 MH,3378,BKK,3885,BAH,2057,,0,330 332 MH,3378,BKK,3885,CAI,1128,Y,0,773 MH,3378,BKK,3885,CEI,3932,Y,0,320 MH,3378,BKK,3885,KUL,3304,,0,738 MH,3378,BKK,3885,PEN,3308,Y,0,734 MH,3378,BKM,6218,LWY,6219,Y,0,DHT MH,3378,BLR,3131,KUL,3304,,0,738 MH,3378,BNE,3320,KUL,3304,,0,333 MH,3378,BOM,2997,KUL,3304,,0,772 738 MH,3378,BTH,3903,SZB,3408,Y,0,AT7 MH,3378,BTJ,3294,PEN,3308,Y,0,AT7 MH,3378,BTU,3262,BKI,3269,Y,0,AT7 MH,3378,BTU,3262,KCH,3263,,0,738 MH,3378,BTU,3262,KUL,3304,,0,738 MH,3378,BTU,3262,MYY,3266,Y,0,AT7 MH,3378,BTU,3262,SBW,3267,Y,0,AT7 MH,3378,BWN,3272,BKI,3269,,0,320 MH,3378,BWN,3272,KUL,3304,,0,738 MH,3378,BWN,3272,MZV,4056,Y,0,AT7 MH,3378,CAI,1128,BKK,3885,Y,0,773 MH,3378,CAN,3370,KUL,3304,,0,738 333 MH,3378,CDG,1382,DFW,3670,,0,763 777 MH,3378,CDG,1382,HEL,421,Y,0,321 MH,3378,CDG,1382,KUL,3304,,0,380 MH,3378,CDG,1382,MIA,3576,,0,763 MH,3378,CDG,1382,ORD,3830,,0,763 MH,3378,CEI,3932,BKK,3885,Y,0,320 MH,3378,CGK,3275,KUL,3304,,0,738 MH,3378,CMB,3024,FCO,1555,,0,332 343 MH,3378,CMB,3024,KHI,2206,,0,320 MH,3378,CMB,3024,KUL,3304,,0,738 MH,3378,CMB,3024,MLE,3156,Y,0,320 MH,3378,CNX,3931,BKK,3885,Y,0,320 MH,3378,COK,3136,KUL,3304,,0,738 MH,3378,DAC,3076,KUL,3304,,0,772 738 333 MH,3378,DEL,3093,KUL,3304,,0,738 333 MH,3378,DFW,3670,FRA,340,,0,777 MH,3378,DFW,3670,LHR,507,,0,777 MH,3378,DFW,3670,NRT,2279,,0,777 MH,3378,DOH,11051,KUL,3304,Y,0,332 777 MH,3378,DOH,11051,RUH,2082,Y,0,777 MH,3378,DPS,3940,KUL,3304,,0,772 738 333 MH,3378,DRW,3999,KUL,3304,,0,738 MH,3378,DWC,8076,KUL,3304,,0,333 MH,3378,FCO,1555,CMB,3024,,0,332 343 MH,3378,FOC,3385,KUL,3304,,0,738 MH,3378,FRA,340,DFW,3670,,0,777 MH,3378,FRA,340,KUL,3304,,0,772 MH,3378,HAN,3199,KUL,3304,,0,738 MH,3378,HEL,421,CDG,1382,Y,0,321 MH,3378,HEL,421,LHR,507,Y,0,321 MH,3378,HKG,3077,BKI,3269,,0,738 320 MH,3378,HKG,3077,KUL,3304,,0,738 772 MH,3378,HKT,3179,BKK,3885,Y,0,320 MH,3378,HKT,3179,KUL,3304,,0,738 MH,3378,HKT,3179,PEN,3308,Y,0,AT7 MH,3378,HYD,\N,KUL,3304,,0,738 MH,3378,ICN,3930,BKI,3269,Y,0,738 MH,3378,ICN,3930,KUL,3304,,0,333 MH,3378,IPH,3302,SIN,3316,Y,0,AT7 MH,3378,IST,1701,KUL,3304,,0,330 772 MH,3378,JED,2072,KUL,3304,,0,772 MH,3378,JFK,3797,LHR,507,,0,777 MH,3378,JHB,3303,KBR,3298,Y,0,AT7 MH,3378,JHB,3303,KUL,3304,,0,738 734 MH,3378,JHB,3303,SZB,3408,Y,0,AT7 MH,3378,KBR,3298,JHB,3303,Y,0,AT7 MH,3378,KBR,3298,KUL,3304,,0,738 734 MH,3378,KBR,3298,PEN,3308,Y,0,AT7 MH,3378,KBR,3298,SZB,3408,Y,0,AT7 MH,3378,KBV,3174,KUL,3304,,0,738 MH,3378,KCH,3263,BKI,3269,,0,738 MH,3378,KCH,3263,BTU,3262,,0,738 MH,3378,KCH,3263,KUL,3304,,0,734 738 MH,3378,KCH,3263,MKM,6217,Y,0,DHT MH,3378,KCH,3263,MYY,3266,,0,738 MH,3378,KCH,3263,MZV,4056,,0,AT7 MH,3378,KCH,3263,PNK,3284,Y,0,AT7 MH,3378,KCH,3263,SBW,3267,,0,738 MH,3378,KCH,3263,SIN,3316,,0,738 MH,3378,KCH,3263,TGC,6770,Y,0,AT7 MH,3378,KHI,2206,CMB,3024,,0,320 MH,3378,KIX,3992,KUL,3304,,0,333 MH,3378,KMG,3382,KUL,3304,,0,738 MH,3378,KTE,3300,SZB,3408,Y,0,AT7 MH,3378,KTM,3125,KUL,3304,,0,738 MH,3378,KUA,3299,KUL,3304,,0,738 734 MH,3378,KUA,3299,PEN,3308,Y,0,AT7 MH,3378,KUA,3299,SIN,3316,Y,0,AT7 MH,3378,KUD,6222,BKI,3269,Y,0,DHT MH,3378,KUD,6222,SDK,4141,Y,0,DHT MH,3378,KUL,3304,ADL,3341,,0,333 MH,3378,KUL,3304,AKL,2006,,0,772 MH,3378,KUL,3304,AMS,580,,0,772 MH,3378,KUL,3304,AOR,3296,,0,738 734 MH,3378,KUL,3304,AUH,2179,,0,332 MH,3378,KUL,3304,BKI,3269,,0,734 738 MH,3378,KUL,3304,BKK,3885,,0,738 MH,3378,KUL,3304,BLR,3131,,0,738 MH,3378,KUL,3304,BNE,3320,,0,333 MH,3378,KUL,3304,BOM,2997,,0,772 738 MH,3378,KUL,3304,BTU,3262,,0,738 MH,3378,KUL,3304,BWN,3272,,0,738 MH,3378,KUL,3304,CAN,3370,,0,333 738 MH,3378,KUL,3304,CDG,1382,,0,380 MH,3378,KUL,3304,CGK,3275,,0,738 MH,3378,KUL,3304,CMB,3024,,0,738 MH,3378,KUL,3304,COK,3136,,0,738 MH,3378,KUL,3304,DAC,3076,,0,772 738 MH,3378,KUL,3304,DEL,3093,,0,738 333 MH,3378,KUL,3304,DOH,11051,,0,332 MH,3378,KUL,3304,DPS,3940,,0,772 738 333 MH,3378,KUL,3304,DRW,3999,,0,738 MH,3378,KUL,3304,DWC,8076,,0,333 MH,3378,KUL,3304,FOC,3385,,0,738 MH,3378,KUL,3304,FRA,340,,0,772 MH,3378,KUL,3304,HAN,3199,,0,738 MH,3378,KUL,3304,HKG,3077,,0,738 772 MH,3378,KUL,3304,HKT,3179,,0,738 MH,3378,KUL,3304,HYD,\N,,0,738 MH,3378,KUL,3304,ICN,3930,,0,333 MH,3378,KUL,3304,IST,1701,,0,772 330 MH,3378,KUL,3304,JED,2072,,0,772 MH,3378,KUL,3304,JHB,3303,,0,738 734 MH,3378,KUL,3304,KBR,3298,,0,738 734 MH,3378,KUL,3304,KBV,3174,,0,738 MH,3378,KUL,3304,KCH,3263,,0,738 734 MH,3378,KUL,3304,KIX,3992,,0,333 MH,3378,KUL,3304,KMG,3382,,0,738 MH,3378,KUL,3304,KTM,3125,,0,738 MH,3378,KUL,3304,KUA,3299,,0,738 734 MH,3378,KUL,3304,LBU,3270,,0,738 734 MH,3378,KUL,3304,LGK,3305,,0,738 734 MH,3378,KUL,3304,LHR,507,,0,380 MH,3378,KUL,3304,MAA,3144,,0,738 MH,3378,KUL,3304,MCT,2194,,0,332 333 MH,3378,KUL,3304,MEL,3339,,0,333 772 MH,3378,KUL,3304,MLE,3156,,0,738 MH,3378,KUL,3304,MNL,2397,,0,738 MH,3378,KUL,3304,MRU,893,Y,0,343 332 MH,3378,KUL,3304,MYY,3266,,0,738 734 MH,3378,KUL,3304,NRT,2279,,0,772 MH,3378,KUL,3304,PEK,3364,,0,333 MH,3378,KUL,3304,PEN,3308,,0,738 734 MH,3378,KUL,3304,PER,3351,,0,333 MH,3378,KUL,3304,PNH,3034,,0,738 MH,3378,KUL,3304,PVG,3406,,0,333 MH,3378,KUL,3304,REP,3035,,0,738 MH,3378,KUL,3304,RGN,3239,,0,738 319 MH,3378,KUL,3304,SBW,3267,,0,738 MH,3378,KUL,3304,SDK,4141,,0,738 MH,3378,KUL,3304,SGN,3205,,0,738 MH,3378,KUL,3304,SIN,3316,,0,738 319 320 MH,3378,KUL,3304,SYD,3361,,0,333 MH,3378,KUL,3304,TAS,2983,Y,0,764 MH,3378,KUL,3304,TGG,3307,,0,734 738 MH,3378,KUL,3304,TPE,2276,,0,738 MH,3378,KUL,3304,TWU,3271,,0,738 MH,3378,KUL,3304,USM,3177,Y,0,319 MH,3378,KUL,3304,XMN,3383,,0,738 MH,3378,LAX,3484,NRT,2279,,0,773 MH,3378,LBP,5855,MUR,3265,Y,0,DHT MH,3378,LBU,3270,BKI,3269,,0,738 AT7 MH,3378,LBU,3270,KUL,3304,,0,738 734 MH,3378,LBU,3270,MYY,3266,Y,0,AT7 MH,3378,LDU,3268,BKI,3269,Y,0,AT7 MH,3378,LGK,3305,KUL,3304,,0,738 734 MH,3378,LGK,3305,PEN,3308,Y,0,AT7 MH,3378,LGK,3305,SIN,3316,Y,0,320 319 MH,3378,LGK,3305,SZB,3408,Y,0,AT7 MH,3378,LGL,6215,MUR,3265,Y,0,DHT MH,3378,LGL,6215,MYY,3266,Y,0,DHT MH,3378,LHR,507,DFW,3670,,0,777 MH,3378,LHR,507,HEL,421,Y,0,320 321 MH,3378,LHR,507,JFK,3797,,0,777 MH,3378,LHR,507,KUL,3304,,0,380 MH,3378,LHR,507,RDU,3626,,0,763 MH,3378,LKH,6769,MUR,3265,Y,0,DHT MH,3378,LKH,6769,MYY,3266,Y,0,DHT MH,3378,LMN,3264,MYY,3266,Y,0,AT7 MH,3378,LWY,6219,BKI,3269,Y,0,DHT MH,3378,LWY,6219,BKM,6218,Y,0,DHT MH,3378,LWY,6219,MYY,3266,Y,0,DHT MH,3378,MAA,3144,KUL,3304,,0,738 MH,3378,MCT,2194,AUH,2179,Y,0,320 MH,3378,MCT,2194,KUL,3304,,0,332 333 MH,3378,MEL,3339,KUL,3304,,0,333 772 MH,3378,MIA,3576,LHR,507,,0,777 MH,3378,MKM,6217,KCH,3263,Y,0,DHT MH,3378,MKM,6217,MYY,3266,Y,0,DHT MH,3378,MLE,3156,CMB,3024,Y,0,343 320 MH,3378,MLE,3156,KUL,3304,,0,738 MH,3378,MNL,2397,KUL,3304,,0,738 MH,3378,MRU,893,KUL,3304,Y,0,343 332 MH,3378,MUR,3265,BBN,6220,Y,0,DHT MH,3378,MUR,3265,LBP,5855,Y,0,DHT MH,3378,MUR,3265,LGL,6215,Y,0,DHT MH,3378,MUR,3265,LKH,6769,Y,0,DHT MH,3378,MUR,3265,MYY,3266,Y,0,DHT MH,3378,MUR,3265,ODN,6216,Y,0,DHT MH,3378,MYY,3266,BBN,6220,Y,0,DHT MH,3378,MYY,3266,BKI,3269,Y,0,AT7 MH,3378,MYY,3266,BTU,3262,Y,0,AT7 MH,3378,MYY,3266,KCH,3263,,0,738 MH,3378,MYY,3266,KUL,3304,,0,738 734 MH,3378,MYY,3266,LBU,3270,Y,0,AT7 MH,3378,MYY,3266,LGL,6215,Y,0,DHT MH,3378,MYY,3266,LKH,6769,Y,0,DHT MH,3378,MYY,3266,LMN,3264,Y,0,AT7 MH,3378,MYY,3266,LWY,6219,Y,0,DHT MH,3378,MYY,3266,MKM,6217,Y,0,DHT MH,3378,MYY,3266,MUR,3265,Y,0,DHT MH,3378,MYY,3266,MZV,4056,Y,0,AT7 MH,3378,MYY,3266,ODN,6216,Y,0,DHT MH,3378,MYY,3266,SBW,3267,Y,0,AT7 MH,3378,MZV,4056,BKI,3269,,0,AT7 MH,3378,MZV,4056,BWN,3272,Y,0,AT7 MH,3378,MZV,4056,KCH,3263,Y,0,AT7 MH,3378,MZV,4056,MYY,3266,Y,0,AT7 MH,3378,NRT,2279,BKI,3269,,0,738 MH,3378,NRT,2279,DFW,3670,,0,777 MH,3378,NRT,2279,KUL,3304,,0,772 MH,3378,NRT,2279,ORD,3830,,0,777 MH,3378,ODN,6216,MUR,3265,Y,0,DHT MH,3378,ODN,6216,MYY,3266,Y,0,DHT MH,3378,ORD,3830,ATL,3682,Y,0,E75 CR7 MH,3378,ORD,3830,CDG,1382,,0,763 MH,3378,ORD,3830,NRT,2279,,0,777 MH,3378,PEK,3364,KUL,3304,,0,333 MH,3378,PEN,3308,BKK,3885,Y,0,734 MH,3378,PEN,3308,BTJ,3294,Y,0,AT7 MH,3378,PEN,3308,HKT,3179,Y,0,AT7 MH,3378,PEN,3308,KBR,3298,Y,0,AT7 MH,3378,PEN,3308,KUA,3299,Y,0,AT7 MH,3378,PEN,3308,KUL,3304,,0,734 738 MH,3378,PEN,3308,LGK,3305,Y,0,AT7 MH,3378,PEN,3308,SIN,3316,Y,0,320 738 319 MH,3378,PEN,3308,SZB,3408,Y,0,AT7 MH,3378,PEN,3308,USM,3177,Y,0,AT7 MH,3378,PER,3351,BKI,3269,,0,738 MH,3378,PER,3351,KUL,3304,,0,333 MH,3378,PKU,3273,SZB,3408,Y,0,AT7 MH,3378,PNH,3034,KUL,3304,,0,738 MH,3378,PNK,3284,KCH,3263,Y,0,AT7 MH,3378,PPS,2433,BKI,3269,,0,AT7 MH,3378,PVG,3406,BKI,3269,,0,738 MH,3378,PVG,3406,KUL,3304,,0,333 MH,3378,RDU,3626,LHR,507,,0,763 MH,3378,REP,3035,KUL,3304,,0,738 MH,3378,RGN,3239,KUL,3304,,0,319 738 MH,3378,RUH,2082,DOH,11051,Y,0,787 777 332 MH,3378,SAN,3731,NRT,2279,,0,787 MH,3378,SBW,3267,BKI,3269,Y,0,AT7 MH,3378,SBW,3267,BTU,3262,Y,0,AT7 MH,3378,SBW,3267,KCH,3263,,0,738 MH,3378,SBW,3267,KUL,3304,,0,738 MH,3378,SBW,3267,MYY,3266,Y,0,AT7 MH,3378,SDK,4141,BKI,3269,,0,738 AT7 MH,3378,SDK,4141,KUD,6222,Y,0,DHT MH,3378,SDK,4141,KUL,3304,,0,738 MH,3378,SDK,4141,TWU,3271,Y,0,AT7 MH,3378,SGN,3205,KUL,3304,,0,738 MH,3378,SIN,3316,BKI,3269,Y,0,320 319 MH,3378,SIN,3316,IPH,3302,Y,0,AT7 MH,3378,SIN,3316,KCH,3263,,0,738 MH,3378,SIN,3316,KUA,3299,Y,0,AT7 MH,3378,SIN,3316,KUL,3304,,0,738 319 320 MH,3378,SIN,3316,LGK,3305,Y,0,320 319 MH,3378,SIN,3316,PEN,3308,Y,0,320 738 319 MH,3378,SIN,3316,SZB,3408,Y,0,AT7 MH,3378,SIN,3316,TAS,2983,Y,0,752 MH,3378,SYD,3361,KUL,3304,,0,333 MH,3378,SZB,3408,AOR,3296,Y,0,AT7 MH,3378,SZB,3408,BTH,3903,Y,0,AT7 MH,3378,SZB,3408,JHB,3303,Y,0,AT7 MH,3378,SZB,3408,KBR,3298,Y,0,AT7 MH,3378,SZB,3408,KTE,3300,Y,0,AT7 MH,3378,SZB,3408,LGK,3305,Y,0,AT7 MH,3378,SZB,3408,PEN,3308,Y,0,AT7 MH,3378,SZB,3408,PKU,3273,Y,0,AT7 MH,3378,SZB,3408,SIN,3316,Y,0,AT7 MH,3378,SZB,3408,TGG,3307,Y,0,AT7 MH,3378,SZB,3408,USM,3177,Y,0,AT7 MH,3378,TAS,2983,KUL,3304,Y,0,764 MH,3378,TAS,2983,SIN,3316,Y,0,764 MH,3378,TGC,6770,KCH,3263,Y,0,AT7 MH,3378,TGG,3307,KUL,3304,,0,734 738 MH,3378,TGG,3307,SZB,3408,Y,0,AT7 MH,3378,TPE,2276,BKI,3269,,0,738 MH,3378,TPE,2276,KUL,3304,,0,738 MH,3378,TRK,3920,TWU,3271,Y,0,AT7 MH,3378,TWU,3271,BKI,3269,,0,738 MH,3378,TWU,3271,KUL,3304,,0,734 738 MH,3378,TWU,3271,SDK,4141,Y,0,AT7 MH,3378,TWU,3271,TRK,3920,Y,0,AT7 MH,3378,USM,3177,KUL,3304,Y,0,319 MH,3378,USM,3177,PEN,3308,Y,0,AT7 MH,3378,USM,3177,SZB,3408,Y,0,AT7 MH,3378,XMN,3383,KUL,3304,,0,738 MI,4750,BDO,3896,SIN,3316,,0,319 MI,4750,BKI,3269,SIN,3316,,0,320 319 MI,4750,BLR,3131,SIN,3316,,0,320 MI,4750,BPN,3919,SIN,3316,,0,319 320 MI,4750,CCU,3043,SIN,3316,,0,320 MI,4750,CEB,4206,DVO,4090,,0,320 MI,4750,CEB,4206,SIN,3316,,0,320 738 MI,4750,CJB,3135,SIN,3316,,0,320 MI,4750,CKG,3393,SIN,3316,,0,320 319 MI,4750,CNX,3931,SIN,3316,,0,320 MI,4750,COK,3136,SIN,3316,,0,320 738 319 MI,4750,CSX,3371,SIN,3316,,0,320 MI,4750,CTU,3395,SIN,3316,,0,320 319 MI,4750,DAD,3196,REP,3035,,0,738 320 MI,4750,DAD,3196,SIN,3316,,0,738 320 MI,4750,DIL,3310,SIN,3316,,0,319 MI,4750,DRW,3999,SIN,3316,,0,320 MI,4750,DVO,4090,CEB,4206,,0,320 MI,4750,DVO,4090,SIN,3316,,0,320 738 MI,4750,HAN,3199,SIN,3316,,0,320 MI,4750,HKT,3179,SIN,3316,,0,320 738 319 MI,4750,HYD,\N,SIN,3316,,0,320 738 MI,4750,JOG,3898,SIN,3316,,0,320 MI,4750,KCH,3263,SIN,3316,,0,319 MI,4750,KMG,3382,SIN,3316,,0,320 319 MI,4750,KTM,3125,SIN,3316,,0,320 MI,4750,KUL,3304,SIN,3316,,0,320 738 319 MI,4750,LGK,3305,SIN,3316,,0,320 319 MI,4750,LOP,8401,SIN,3316,,0,319 320 MI,4750,MAA,3144,SIN,3316,,0,319 320 MI,4750,MDC,3250,SIN,3316,,0,320 MI,4750,PEN,3308,SIN,3316,,0,320 738 319 MI,4750,PKU,3273,SIN,3316,,0,319 MI,4750,PLM,3289,SIN,3316,,0,319 MI,4750,PNH,3034,SIN,3316,,0,320 MI,4750,REP,3035,DAD,3196,,0,738 320 MI,4750,REP,3035,PNH,3034,,0,320 MI,4750,REP,3035,SIN,3316,,0,738 320 MI,4750,RGN,3239,SIN,3316,,0,320 MI,4750,SIN,3316,BDO,3896,,0,319 MI,4750,SIN,3316,BKI,3269,,0,320 319 MI,4750,SIN,3316,BLR,3131,,0,320 MI,4750,SIN,3316,BPN,3919,,0,319 320 MI,4750,SIN,3316,CCU,3043,,0,320 MI,4750,SIN,3316,CEB,4206,,0,320 738 MI,4750,SIN,3316,CJB,3135,,0,320 MI,4750,SIN,3316,CKG,3393,,0,320 319 MI,4750,SIN,3316,CNX,3931,,0,320 MI,4750,SIN,3316,COK,3136,,0,320 738 319 MI,4750,SIN,3316,CSX,3371,,0,320 MI,4750,SIN,3316,CTU,3395,,0,320 319 MI,4750,SIN,3316,DAD,3196,,0,738 319 320 MI,4750,SIN,3316,DIL,3310,,0,319 MI,4750,SIN,3316,DRW,3999,,0,320 MI,4750,SIN,3316,DVO,4090,,0,320 738 MI,4750,SIN,3316,HAN,3199,,0,320 MI,4750,SIN,3316,HKT,3179,,0,320 738 319 MI,4750,SIN,3316,HYD,\N,,0,738 320 MI,4750,SIN,3316,JOG,3898,,0,320 MI,4750,SIN,3316,KCH,3263,,0,319 MI,4750,SIN,3316,KMG,3382,,0,320 319 MI,4750,SIN,3316,KTM,3125,,0,320 MI,4750,SIN,3316,KUL,3304,,0,320 738 319 MI,4750,SIN,3316,LGK,3305,,0,320 319 MI,4750,SIN,3316,LOP,8401,,0,319 320 MI,4750,SIN,3316,MAA,3144,,0,319 320 MI,4750,SIN,3316,MDC,3250,,0,320 MI,4750,SIN,3316,PEN,3308,,0,320 738 319 MI,4750,SIN,3316,PKU,3273,,0,319 MI,4750,SIN,3316,PLM,3289,,0,319 MI,4750,SIN,3316,PNH,3034,,0,320 MI,4750,SIN,3316,REP,3035,,0,738 320 MI,4750,SIN,3316,RGN,3239,,0,320 319 MI,4750,SIN,3316,SOC,3929,,0,320 319 MI,4750,SIN,3316,SRG,3901,,0,319 MI,4750,SIN,3316,SUB,3928,,0,333 320 319 MI,4750,SIN,3316,SZX,3374,,0,320 738 319 MI,4750,SIN,3316,TRV,3153,,0,319 320 MI,4750,SIN,3316,UPG,3240,,0,319 320 MI,4750,SIN,3316,USM,3177,,0,319 MI,4750,SIN,3316,VTZ,3066,,0,319 MI,4750,SIN,3316,WUH,3376,,0,319 320 MI,4750,SIN,3316,XMN,3383,,0,320 MI,4750,SOC,3929,SIN,3316,,0,320 319 MI,4750,SRG,3901,SIN,3316,,0,319 MI,4750,SUB,3928,SIN,3316,,0,333 320 319 MI,4750,SZX,3374,SIN,3316,,0,320 738 319 MI,4750,TRV,3153,SIN,3316,,0,319 320 MI,4750,UPG,3240,SIN,3316,,0,319 320 MI,4750,USM,3177,SIN,3316,,0,319 MI,4750,VTZ,3066,SIN,3316,,0,319 MI,4750,WUH,3376,SIN,3316,,0,319 320 MI,4750,XMN,3383,SIN,3316,,0,320 MJ,3342,AUH,2179,CMB,3024,Y,0,320 MJ,3342,BAH,2057,CMB,3024,,0,320 321 MJ,3342,BKK,3885,CMB,3024,Y,0,320 332 343 MJ,3342,BLR,3131,CMB,3024,Y,0,320 MJ,3342,BOM,2997,CMB,3024,Y,0,320 MJ,3342,CGK,3275,CMB,3024,,0,321 MJ,3342,CMB,3024,AUH,2179,Y,0,320 MJ,3342,CMB,3024,BAH,2057,,0,320 321 MJ,3342,CMB,3024,BKK,3885,Y,0,320 332 343 MJ,3342,CMB,3024,BLR,3131,Y,0,320 MJ,3342,CMB,3024,BOM,2997,Y,0,320 MJ,3342,CMB,3024,CGK,3275,,0,321 MJ,3342,CMB,3024,COK,3136,Y,0,320 MJ,3342,CMB,3024,DAC,3076,,0,321 320 MJ,3342,CMB,3024,DEL,3093,Y,0,320 MJ,3342,CMB,3024,DMM,2064,Y,0,343 MJ,3342,CMB,3024,DXB,2188,Y,0,343 320 332 MJ,3342,CMB,3024,HRI,8949,Y,0,343 MJ,3342,CMB,3024,IXM,3142,,0,320 MJ,3342,CMB,3024,JED,2072,Y,0,343 MJ,3342,CMB,3024,KUL,3304,Y,0,320 332 MJ,3342,CMB,3024,KWI,2176,Y,0,332 343 MJ,3342,CMB,3024,MAA,3144,Y,0,332 320 343 MJ,3342,CMB,3024,MCT,2194,Y,0,320 321 MJ,3342,CMB,3024,MLE,3156,Y,0,320 332 343 MJ,3342,CMB,3024,RUH,2082,Y,0,343 332 MJ,3342,CMB,3024,SEZ,994,,0,320 MJ,3342,CMB,3024,SHJ,2191,,0,321 MJ,3342,CMB,3024,SIN,3316,Y,0,320 MJ,3342,CMB,3024,TRV,3153,Y,0,320 MJ,3342,CMB,3024,TRZ,3152,,0,320 MJ,3342,COK,3136,CMB,3024,Y,0,320 MJ,3342,DAC,3076,CMB,3024,,0,321 320 MJ,3342,DEL,3093,CMB,3024,Y,0,320 MJ,3342,DMM,2064,CMB,3024,Y,0,343 MJ,3342,DXB,2188,CMB,3024,Y,0,343 320 332 MJ,3342,HRI,8949,CMB,3024,,0,320 MJ,3342,HRI,8949,JED,2072,Y,0,343 MJ,3342,IXM,3142,CMB,3024,,0,320 MJ,3342,JED,2072,CMB,3024,Y,0,343 MJ,3342,KUL,3304,CMB,3024,Y,0,320 343 332 MJ,3342,KWI,2176,CMB,3024,Y,0,332 343 MJ,3342,MAA,3144,CMB,3024,Y,0,332 320 343 MJ,3342,MAA,3144,HRI,8949,Y,0,320 MJ,3342,MCT,2194,CMB,3024,Y,0,320 321 MJ,3342,MLE,3156,CMB,3024,Y,0,320 332 343 MJ,3342,RUH,2082,CMB,3024,Y,0,343 MJ,3342,SEZ,994,CMB,3024,,0,320 MJ,3342,SHJ,2191,CMB,3024,,0,321 MJ,3342,SIN,3316,CMB,3024,Y,0,320 MJ,3342,TRV,3153,CMB,3024,Y,0,320 MJ,3342,TRZ,3152,CMB,3024,Y,0,320 MK,1057,BLR,3131,MAA,3144,,0,332 MK,1057,BOM,2997,MRU,893,,0,332 343 MK,1057,BSL,1423,CDG,1382,Y,0,AT7 MK,1057,CDG,1382,BSL,1423,Y,0,AT7 MK,1057,CDG,1382,MRU,893,,0,343 MK,1057,CPT,797,MRU,893,,0,319 MK,1057,DEL,3093,MRU,893,,0,332 MK,1057,DUR,799,MRU,893,,0,319 MK,1057,DXB,2188,MRU,893,Y,0,388 77W MK,1057,HKG,3077,MRU,893,,0,332 MK,1057,JNB,813,MRU,893,,0,319 343 MK,1057,KUL,3304,MRU,893,,0,343 332 MK,1057,KUL,3304,SIN,3316,,0,343 MK,1057,LHR,507,MRU,893,,0,343 MK,1057,MAA,3144,MRU,893,,0,332 MK,1057,MRU,893,BLR,3131,,0,332 MK,1057,MRU,893,BOM,2997,,0,332 343 MK,1057,MRU,893,CDG,1382,,0,343 MK,1057,MRU,893,CPT,797,,0,319 MK,1057,MRU,893,DEL,3093,,0,332 MK,1057,MRU,893,DUR,799,,0,319 MK,1057,MRU,893,DXB,2188,Y,0,388 77W MK,1057,MRU,893,HKG,3077,,0,332 MK,1057,MRU,893,JNB,813,,0,319 343 MK,1057,MRU,893,KUL,3304,,0,343 332 MK,1057,MRU,893,LHR,507,,0,343 MK,1057,MRU,893,NBO,4059,,0,319 MK,1057,MRU,893,PEK,3364,,0,343 MK,1057,MRU,893,PER,3351,,0,332 MK,1057,MRU,893,PVG,3406,,0,343 MK,1057,MRU,893,RRG,894,,0,AT7 MK,1057,MRU,893,RUN,916,,0,343 AT7 319 332 MK,1057,MRU,893,TNR,918,,0,343 319 MK,1057,MRU,893,ZSE,917,,0,AT7 MK,1057,NBO,4059,MRU,893,,0,319 MK,1057,PEK,3364,MRU,893,,0,343 MK,1057,PER,3351,MRU,893,,0,332 MK,1057,PVG,3406,MRU,893,,0,343 MK,1057,RRG,894,MRU,893,,0,AT7 MK,1057,RUN,916,MRU,893,,0,319 343 AT7 332 MK,1057,SIN,3316,KUL,3304,,0,343 MK,1057,TNR,918,MRU,893,,0,343 319 MK,1057,ZSE,917,MRU,893,,0,AT7 MM,17675,CTS,2287,KIX,3992,,0,320 MM,17675,FUK,2305,KIX,3992,,0,320 MM,17675,HKG,3077,KIX,3992,,0,320 MM,17675,ICN,3930,KIX,3992,,0,320 MM,17675,ISG,2387,KIX,3992,,0,320 MM,17675,ISG,2387,OKA,2384,,0,320 MM,17675,KHH,2264,KIX,3992,,0,320 MM,17675,KIX,3992,CTS,2287,,0,320 MM,17675,KIX,3992,FUK,2305,,0,320 MM,17675,KIX,3992,HKG,3077,,0,320 MM,17675,KIX,3992,ICN,3930,,0,320 MM,17675,KIX,3992,ISG,2387,,0,320 MM,17675,KIX,3992,KHH,2264,,0,320 MM,17675,KIX,3992,KOJ,2307,,0,320 MM,17675,KIX,3992,MYJ,2333,,0,320 MM,17675,KIX,3992,NGS,2313,,0,320 MM,17675,KIX,3992,NRT,2279,,0,320 MM,17675,KIX,3992,OKA,2384,,0,320 MM,17675,KIX,3992,PUS,2372,,0,320 MM,17675,KIX,3992,SDJ,2347,,0,320 MM,17675,KIX,3992,TPE,2276,,0,320 MM,17675,KOJ,2307,KIX,3992,,0,320 MM,17675,MYJ,2333,KIX,3992,,0,320 MM,17675,NGS,2313,KIX,3992,,0,320 MM,17675,NRT,2279,KIX,3992,,0,320 MM,17675,OKA,2384,ISG,2387,,0,320 MM,17675,OKA,2384,KIX,3992,,0,320 MM,17675,OKA,2384,TPE,2276,,0,320 MM,17675,PUS,2372,KIX,3992,,0,320 MM,17675,SDJ,2347,KIX,3992,,0,320 MM,17675,TPE,2276,KIX,3992,,0,320 MM,17675,TPE,2276,OKA,2384,,0,320 MN,1829,CPT,797,DUR,799,,0,738 MN,1829,CPT,797,HLA,820,,0,738 MN,1829,CPT,797,JNB,813,,0,738 MN,1829,DUR,799,CPT,797,,0,738 MN,1829,DUR,799,HLA,820,,0,738 MN,1829,DUR,799,JNB,813,,0,738 MN,1829,ELS,800,JNB,813,,0,738 MN,1829,GRJ,804,JNB,813,,0,738 MN,1829,HLA,820,CPT,797,,0,738 MN,1829,HLA,820,DUR,799,,0,738 MN,1829,JNB,813,CPT,797,,0,738 MN,1829,JNB,813,DUR,799,,0,738 MN,1829,JNB,813,ELS,800,,0,738 MN,1829,JNB,813,GRJ,804,,0,738 MO,502,YBK,29,YCS,5487,,0,AT4 MO,502,YBK,29,YRT,132,,0,AT4 MO,502,YCS,5487,YBK,29,,0,AT4 MO,502,YCS,5487,YRT,132,,0,AT4 MO,502,YEK,50,YRT,132,,0,AT4 MO,502,YEK,50,YXN,5534,,0,AT4 MO,502,YEK,50,YYQ,187,,0,AT4 MO,502,YFB,55,YRT,132,Y,0,73M MO,502,YFO,58,YQD,5524,,0,AT4 MO,502,YFO,58,YTH,141,,0,FRJ MO,502,YFO,58,YWG,160,,0,AT4 FRJ MO,502,YGX,5497,YTH,141,,0,AT4 MO,502,YGX,5497,YWG,160,,0,AT4 MO,502,YOW,100,YFB,55,Y,0,73M MO,502,YQD,5524,YFO,58,,0,AT4 MO,502,YQD,5524,YTH,141,,0,FRJ MO,502,YQD,5524,YWG,160,,0,AT4 FRJ MO,502,YRT,132,YBK,29,,0,AT4 MO,502,YRT,132,YCS,5487,,0,AT4 MO,502,YRT,132,YEK,50,,0,AT4 MO,502,YRT,132,YTH,141,,0,AT4 MO,502,YRT,132,YUT,147,,0,AT4 MO,502,YRT,132,YWG,160,,0,FRJ MO,502,YRT,132,YXN,5534,,0,AT4 MO,502,YRT,132,YYQ,187,,0,AT4 FRJ MO,502,YRT,132,YZF,196,Y,0,73M MO,502,YRT,132,YZS,41,,0,AT4 MO,502,YSK,5529,YWG,160,,0,AT4 MO,502,YTH,141,YFO,58,,0,FRJ MO,502,YTH,141,YGX,5497,,0,AT4 MO,502,YTH,141,YQD,5524,,0,FRJ MO,502,YTH,141,YWG,160,,0,FRJ AT4 MO,502,YTH,141,YYQ,187,,0,AT4 MO,502,YUT,147,YRT,132,,0,AT4 MO,502,YUT,147,YZS,41,,0,AT4 MO,502,YWG,160,YFO,58,,0,FRJ AT4 MO,502,YWG,160,YGX,5497,,0,AT4 MO,502,YWG,160,YQD,5524,,0,AT4 FRJ MO,502,YWG,160,YRT,132,,0,FRJ AT4 MO,502,YWG,160,YSK,5529,,0,AT4 MO,502,YWG,160,YTH,141,,0,AT4 FRJ MO,502,YWG,160,YYQ,187,,0,AT4 FRJ MO,502,YXN,5534,YEK,50,,0,AT4 MO,502,YXN,5534,YRT,132,,0,AT4 MO,502,YYQ,187,YEK,50,,0,AT4 MO,502,YYQ,187,YRT,132,,0,FRJ AT4 MO,502,YYQ,187,YTH,141,,0,AT4 MO,502,YYQ,187,YWG,160,,0,AT4 FRJ MO,502,YZF,196,YEG,49,Y,0,73M MO,502,YZF,196,YOW,100,Y,0,73M MO,502,YZS,41,YRT,132,,0,AT4 MO,502,YZS,41,YUT,147,,0,AT4 MR,13335,BKK,3885,ULN,3380,,0,319 MR,13335,BYN,6371,LTI,6370,,0,F50 MR,13335,BYN,6371,ULN,3380,,0,F50 MR,13335,COQ,6795,HLD,3366,,0,F50 MR,13335,COQ,6795,NZH,6954,,0,F50 MR,13335,COQ,6795,ULN,3380,,0,F50 MR,13335,HKG,3077,ULN,3380,,0,319 MR,13335,HLD,3366,COQ,6795,,0,F50 MR,13335,HVD,6373,ULN,3380,,0,F50 MR,13335,LTI,6370,BYN,6371,,0,F50 MR,13335,MXV,6374,ULN,3380,,0,F50 MR,13335,NZH,6954,COQ,6795,,0,F50 MR,13335,ULN,3380,BKK,3885,,0,319 MR,13335,ULN,3380,BYN,6371,,0,F50 MR,13335,ULN,3380,COQ,6795,,0,F50 MR,13335,ULN,3380,DLZ,6372,,0,F50 MR,13335,ULN,3380,HKG,3077,,0,319 MR,13335,ULN,3380,HVD,6373,,0,F50 MR,13335,ULN,3380,MXV,6374,,0,F50 MR,13335,ULN,3380,ULZ,\N,,0,F50 MR,13335,ULZ,\N,ULN,3380,,0,F50 MS,2143,ABJ,253,ACC,248,,0,738 MS,2143,ABS,1127,ASW,1136,,0,E70 MS,2143,ABV,260,CAI,1128,,0,738 MS,2143,ACC,248,ABJ,253,,0,738 MS,2143,ACC,248,CAI,1128,,0,738 MS,2143,ADD,1107,CAI,1128,,0,738 MS,2143,ADD,1107,JIB,4119,,0,DH8 73W MS,2143,ADD,1107,KGL,1165,Y,0,738 MS,2143,ADD,1107,LAD,951,,0,77W MS,2143,AHB,2059,CAI,1128,,0,E70 320 MS,2143,ALG,210,CAI,1128,,0,320 MS,2143,AMM,2170,CAI,1128,,0,738 320 E70 MS,2143,AMS,580,CAI,1128,,0,738 MS,2143,ASM,3967,CAI,1128,,0,320 MS,2143,ASW,1136,ABS,1127,,0,E70 MS,2143,ASW,1136,CAI,1128,,0,E70 738 MS,2143,ATH,3941,CAI,1128,,0,738 MS,2143,ATH,3941,HBE,3410,,0,E70 MS,2143,ATH,3941,HER,1452,,0,DH4 MS,2143,ATZ,5691,CAI,1128,,0,E70 MS,2143,AUH,2179,CAI,1128,,0,738 330 MS,2143,BAH,2057,CAI,1128,,0,E70 MS,2143,BCN,1218,CAI,1128,,0,738 MS,2143,BEN,1154,CAI,1128,,0,320 E70 MS,2143,BEY,2177,CAI,1128,,0,738 320 E70 MS,2143,BEY,2177,HBE,3410,,0,E70 MS,2143,BGW,4130,CAI,1128,,0,320 MS,2143,BJM,1120,KGL,1165,Y,0,738 MS,2143,BKK,3885,CAI,1128,,0,773 MS,2143,BKK,3885,KUL,3304,,0,773 MS,2143,BOM,2997,CAI,1128,,0,738 MS,2143,BRU,302,CAI,1128,,0,320 MS,2143,BUD,1489,CAI,1128,,0,E70 MS,2143,CAI,1128,ABV,260,,0,738 MS,2143,CAI,1128,ACC,248,,0,738 MS,2143,CAI,1128,ADD,1107,,0,738 MS,2143,CAI,1128,AHB,2059,,0,E70 320 MS,2143,CAI,1128,ALG,210,,0,320 MS,2143,CAI,1128,AMM,2170,,0,738 320 E70 MS,2143,CAI,1128,AMS,580,,0,738 MS,2143,CAI,1128,ASM,3967,,0,320 MS,2143,CAI,1128,ASW,1136,,0,738 E70 MS,2143,CAI,1128,ATH,3941,,0,738 MS,2143,CAI,1128,ATZ,5691,,0,E70 MS,2143,CAI,1128,AUH,2179,,0,738 330 MS,2143,CAI,1128,BAH,2057,,0,E70 MS,2143,CAI,1128,BCN,1218,,0,738 MS,2143,CAI,1128,BEN,1154,,0,320 E70 MS,2143,CAI,1128,BEY,2177,,0,738 320 E70 MS,2143,CAI,1128,BGW,4130,,0,320 MS,2143,CAI,1128,BKK,3885,,0,773 MS,2143,CAI,1128,BOM,2997,,0,738 MS,2143,CAI,1128,BRU,302,,0,320 MS,2143,CAI,1128,BUD,1489,,0,E70 MS,2143,CAI,1128,CAN,3370,,0,773 MS,2143,CAI,1128,CDG,1382,,0,333 320 MS,2143,CAI,1128,CGK,3275,,0,330 MS,2143,CAI,1128,CMN,1074,,0,321 MS,2143,CAI,1128,CPH,609,,0,738 MS,2143,CAI,1128,DAR,1177,,0,738 MS,2143,CAI,1128,DME,4029,,0,320 MS,2143,CAI,1128,DMM,2064,,0,333 738 330 321 MS,2143,CAI,1128,DOH,11051,,0,333 738 MS,2143,CAI,1128,DXB,2188,,0,773 333 MS,2143,CAI,1128,EBB,1187,,0,320 MS,2143,CAI,1128,EBL,3989,,0,320 321 MS,2143,CAI,1128,ELQ,2067,,0,321 E70 MS,2143,CAI,1128,FCO,1555,,0,738 MS,2143,CAI,1128,FRA,340,,0,330 738 MS,2143,CAI,1128,GVA,1665,,0,738 MS,2143,CAI,1128,HBE,3410,,0,320 321 MS,2143,CAI,1128,HMB,8235,,0,E70 MS,2143,CAI,1128,HRG,1130,,0,321 E70 735 MS,2143,CAI,1128,IST,1701,,0,320 738 E70 MS,2143,CAI,1128,JED,2072,,0,738 330 340 333 320 MS,2143,CAI,1128,JFK,3797,,0,773 MS,2143,CAI,1128,JNB,813,,0,330 MS,2143,CAI,1128,JUB,1173,,0,320 MS,2143,CAI,1128,KAN,270,,0,320 MS,2143,CAI,1128,KRT,1175,,0,321 320 MS,2143,CAI,1128,KWI,2176,,0,340 738 320 MS,2143,CAI,1128,LCA,1197,,0,E70 MS,2143,CAI,1128,LHR,507,,0,333 738 MS,2143,CAI,1128,LOS,273,,0,738 MS,2143,CAI,1128,LXR,1132,,0,738 E70 320 MS,2143,CAI,1128,MAD,1229,,0,738 MS,2143,CAI,1128,MAN,478,,0,738 MS,2143,CAI,1128,MCT,2194,,0,738 MS,2143,CAI,1128,MED,2074,,0,330 738 333 MS,2143,CAI,1128,MUC,346,,0,738 MS,2143,CAI,1128,MXP,1524,,0,738 MS,2143,CAI,1128,NBO,4059,,0,320 MS,2143,CAI,1128,PEK,3364,,0,330 MS,2143,CAI,1128,RMF,4197,,0,E70 MS,2143,CAI,1128,RUH,2082,,0,738 333 330 MS,2143,CAI,1128,SAH,3980,,0,320 MS,2143,CAI,1128,SHJ,2191,,0,738 320 MS,2143,CAI,1128,SSH,4057,,0,738 E70 735 321 MS,2143,CAI,1128,SXF,337,,0,738 MS,2143,CAI,1128,TIP,1157,,0,321 320 MS,2143,CAI,1128,TUN,287,,0,738 320 MS,2143,CAI,1128,VIE,1613,,0,738 E70 MS,2143,CAI,1128,YYZ,193,,0,773 MS,2143,CAI,1128,ZRH,1678,Y,0,333 343 MS,2143,CAN,3370,CAI,1128,,0,773 MS,2143,CDG,1382,CAI,1128,,0,333 320 MS,2143,CDG,1382,LXR,1132,,0,320 MS,2143,CGK,3275,CAI,1128,,0,330 MS,2143,CMN,1074,CAI,1128,,0,321 MS,2143,CPH,609,CAI,1128,,0,738 MS,2143,DAR,1177,CAI,1128,,0,738 MS,2143,DAR,1177,HRE,1005,,0,738 MS,2143,DME,4029,CAI,1128,,0,320 MS,2143,DMM,2064,CAI,1128,,0,738 333 330 321 MS,2143,DMM,2064,HBE,3410,,0,320 MS,2143,DOH,11051,CAI,1128,,0,333 738 MS,2143,DXB,2188,CAI,1128,,0,333 773 MS,2143,DXB,2188,SIN,3316,Y,0,333 MS,2143,EBB,1187,CAI,1128,,0,320 MS,2143,EBL,3989,CAI,1128,,0,320 321 MS,2143,ELQ,2067,CAI,1128,,0,321 E70 MS,2143,FCO,1555,CAI,1128,,0,738 MS,2143,FRA,340,CAI,1128,,0,330 738 MS,2143,GVA,1665,CAI,1128,,0,738 MS,2143,HBE,3410,ATH,3941,,0,E70 MS,2143,HBE,3410,BEY,2177,,0,E70 MS,2143,HBE,3410,CAI,1128,,0,738 320 321 MS,2143,HBE,3410,DMM,2064,,0,320 MS,2143,HBE,3410,HRG,1130,,0,E70 MS,2143,HBE,3410,IST,1701,Y,0,73W 319 MS,2143,HBE,3410,JED,2072,,0,320 MS,2143,HBE,3410,KWI,2176,,0,320 738 MS,2143,HBE,3410,MED,2074,,0,320 738 MS,2143,HBE,3410,RUH,2082,,0,320 MS,2143,HBE,3410,SSH,4057,,0,E70 MS,2143,HER,1452,ATH,3941,,0,DH4 MS,2143,HMB,8235,CAI,1128,,0,E70 MS,2143,HMB,8235,KWI,2176,,0,E70 MS,2143,HRE,1005,DAR,1177,,0,738 MS,2143,HRG,1130,CAI,1128,,0,321 E70 735 MS,2143,HRG,1130,HBE,3410,,0,E70 MS,2143,HRG,1130,IST,1701,,0,738 320 MS,2143,IST,1701,CAI,1128,,0,320 738 E70 MS,2143,IST,1701,HBE,3410,Y,0,73W 319 MS,2143,IST,1701,HRG,1130,,0,738 320 MS,2143,IST,1701,KBP,2939,,0,321 MS,2143,IST,1701,SSH,4057,,0,738 319 MS,2143,JED,2072,CAI,1128,,0,738 333 330 340 320 MS,2143,JED,2072,HBE,3410,,0,320 MS,2143,JED,2072,LXR,1132,,0,320 MS,2143,JED,2072,SSH,4057,,0,E70 MS,2143,JFK,3797,CAI,1128,,0,773 MS,2143,JIB,4119,ADD,1107,,0,73W DH8 MS,2143,JNB,813,CAI,1128,,0,330 MS,2143,JUB,1173,CAI,1128,,0,320 MS,2143,KAN,270,CAI,1128,,0,320 MS,2143,KBP,2939,IST,1701,,0,321 738 MS,2143,KGL,1165,ADD,1107,Y,0,738 MS,2143,KGL,1165,BJM,1120,Y,0,738 MS,2143,KRT,1175,CAI,1128,,0,321 320 MS,2143,KUL,3304,BKK,3885,,0,773 MS,2143,KWI,2176,CAI,1128,,0,738 340 320 MS,2143,KWI,2176,HBE,3410,,0,320 738 MS,2143,KWI,2176,HMB,8235,,0,E70 MS,2143,KWI,2176,LXR,1132,,0,320 MS,2143,KWI,2176,SSH,4057,,0,E70 MS,2143,LAD,951,ADD,1107,,0,77W MS,2143,LCA,1197,CAI,1128,,0,E70 MS,2143,LHR,507,CAI,1128,,0,333 738 MS,2143,LHR,507,LXR,1132,,0,738 MS,2143,LOS,273,CAI,1128,,0,738 MS,2143,LXR,1132,CAI,1128,,0,738 E70 320 MS,2143,LXR,1132,CDG,1382,,0,320 MS,2143,LXR,1132,JED,2072,,0,320 MS,2143,LXR,1132,KWI,2176,,0,320 MS,2143,LXR,1132,LHR,507,,0,738 MS,2143,MAD,1229,CAI,1128,,0,738 MS,2143,MAN,478,CAI,1128,,0,738 MS,2143,MCT,2194,CAI,1128,,0,738 MS,2143,MED,2074,CAI,1128,,0,333 330 738 MS,2143,MED,2074,HBE,3410,,0,320 738 MS,2143,MUC,346,CAI,1128,,0,738 MS,2143,MXP,1524,CAI,1128,,0,738 MS,2143,NBO,4059,CAI,1128,,0,320 MS,2143,PEK,3364,CAI,1128,,0,330 MS,2143,RHO,1472,ATH,3941,,0,DH4 MS,2143,RMF,4197,CAI,1128,,0,E70 MS,2143,RUH,2082,CAI,1128,,0,738 333 330 MS,2143,RUH,2082,HBE,3410,,0,320 MS,2143,RUH,2082,SSH,4057,,0,E70 MS,2143,SAH,3980,CAI,1128,,0,320 MS,2143,SHJ,2191,CAI,1128,,0,738 320 MS,2143,SIN,3316,DXB,2188,Y,0,333 MS,2143,SSH,4057,CAI,1128,,0,738 E70 735 321 MS,2143,SSH,4057,HBE,3410,,0,E70 MS,2143,SSH,4057,IST,1701,,0,738 319 MS,2143,SSH,4057,JED,2072,,0,E70 MS,2143,SSH,4057,KWI,2176,,0,E70 MS,2143,SSH,4057,RUH,2082,,0,E70 MS,2143,SXF,337,CAI,1128,,0,738 MS,2143,TIP,1157,CAI,1128,,0,321 320 MS,2143,TUN,287,CAI,1128,,0,738 320 MS,2143,VIE,1613,CAI,1128,,0,738 E70 MS,2143,YYZ,193,CAI,1128,,0,773 MS,2143,ZRH,1678,CAI,1128,Y,0,333 343 MU,1758,ACX,7506,NAY,6341,Y,0,737 MU,1758,ACX,7506,PVG,3406,,0,319 MU,1758,AKL,2006,MEL,3339,Y,0,73H MU,1758,AKL,2006,SYD,3361,Y,0,73H MU,1758,AMS,580,BCN,1218,,0,737 MU,1758,AMS,580,BLQ,1538,,0,EMJ MU,1758,AMS,580,CDG,1382,Y,0,737 MU,1758,AMS,580,CPH,609,,0,EMJ 737 F70 MU,1758,AMS,580,FCO,1555,,0,737 MU,1758,AMS,580,FRA,340,Y,0,EMJ F70 MU,1758,AMS,580,LHR,507,Y,0,737 F70 MU,1758,AMS,580,MAD,1229,,0,737 MU,1758,AMS,580,PVG,3406,Y,0,74M MU,1758,AOG,9844,PVG,3406,Y,0,737 MU,1758,AQG,6427,SHA,3391,,0,EMB MU,1758,AQG,6427,WUH,3376,,0,EMB MU,1758,AVA,9849,NAY,6341,Y,0,737 MU,1758,BAV,6346,NAY,6341,Y,0,737 MU,1758,BAV,6346,NKG,3388,,0,320 MU,1758,BAV,6346,SHA,3391,Y,0,738 737 MU,1758,BAV,6346,SJW,6347,Y,0,737 MU,1758,BCN,1218,AMS,580,,0,737 MU,1758,BFJ,9025,NAY,6341,Y,0,737 MU,1758,BHY,6351,KMG,3382,,0,737 MU,1758,BHY,6351,PVG,3406,,0,320 MU,1758,BKK,3885,CTU,3395,,0,320 MU,1758,BKK,3885,KMG,3382,,0,737 MU,1758,BKK,3885,NGB,3387,,0,320 MU,1758,BKK,3885,PVG,3406,,0,333 320 332 MU,1758,BLQ,1538,AMS,580,,0,EMJ MU,1758,BNE,3320,SIN,3316,Y,0,744 MU,1758,BSD,7505,KMG,3382,,0,733 MU,1758,CAN,3370,HFE,3389,,0,320 MU,1758,CAN,3370,HGH,3386,,0,320 MU,1758,CAN,3370,HIA,7898,,0,320 MU,1758,CAN,3370,HYN,6384,,0,733 MU,1758,CAN,3370,KHN,3384,,0,320 MU,1758,CAN,3370,KMG,3382,,0,737 733 MU,1758,CAN,3370,LHW,3378,,0,738 MU,1758,CAN,3370,LJG,4033,,0,737 MU,1758,CAN,3370,LUM,6376,,0,737 MU,1758,CAN,3370,NAY,6341,Y,0,737 MU,1758,CAN,3370,NGB,3387,,0,738 320 MU,1758,CAN,3370,NKG,3388,,0,320 MU,1758,CAN,3370,NRT,2279,Y,0,767 MU,1758,CAN,3370,PVG,3406,,0,738 MU,1758,CAN,3370,SHA,3391,,0,738 321 333 AB6 MU,1758,CAN,3370,TAO,3390,,0,320 MU,1758,CAN,3370,TNA,4108,,0,320 MU,1758,CAN,3370,TYN,3369,,0,737 MU,1758,CAN,3370,WNZ,6392,,0,733 738 320 737 MU,1758,CAN,3370,WUH,3376,,0,738 73G MU,1758,CAN,3370,WUX,6390,,0,E90 320 321 MU,1758,CAN,3370,XIY,3379,,0,320 MU,1758,CAN,3370,XMN,3383,Y,0,738 MU,1758,CCU,3043,KMG,3382,,0,737 MU,1758,CDG,1382,AMS,580,Y,0,737 MU,1758,CDG,1382,PEK,3364,Y,0,772 77W MU,1758,CDG,1382,PVG,3406,,0,332 MU,1758,CEI,3932,KMG,3382,,0,737 MU,1758,CGK,3275,PVG,3406,,0,777 MU,1758,CGO,3375,DLC,3404,,0,737 MU,1758,CGO,3375,HGH,3386,,0,320 MU,1758,CGO,3375,INC,4085,,0,320 MU,1758,CGO,3375,KMG,3382,,0,733 737 MU,1758,CGO,3375,NGB,3387,,0,320 MU,1758,CGO,3375,NKG,3388,,0,320 MU,1758,CGO,3375,PVG,3406,,0,320 738 MU,1758,CGO,3375,SHA,3391,,0,738 737 320 321 MU,1758,CGO,3375,URC,3399,,0,320 MU,1758,CGO,3375,XNN,6366,,0,320 MU,1758,CGQ,4380,PEK,3364,,0,320 MU,1758,CGQ,4380,PVG,3406,,0,320 MU,1758,CGQ,4380,XIY,3379,,0,320 MU,1758,CHC,2009,SYD,3361,Y,0,73H MU,1758,CHG,6772,DLC,3404,,0,319 MU,1758,CIF,6342,HET,6345,,0,320 MU,1758,CIF,6342,HRB,3400,,0,320 MU,1758,CIF,6342,NAY,6341,Y,0,737 MU,1758,CIF,6342,NKG,3388,,0,320 MU,1758,CIF,6342,TSN,3368,,0,320 MU,1758,CIH,6343,NAY,6341,Y,0,737 MU,1758,CIH,6343,TYN,3369,,0,EMB MU,1758,CIH,6343,WUH,3376,,0,EMB MU,1758,CJJ,6008,HGH,3386,Y,0,739 MU,1758,CJU,2370,NGB,3387,,0,320 MU,1758,CJU,2370,PEK,3364,,0,321 MU,1758,CJU,2370,PVG,3406,,0,738 MU,1758,CJU,2370,WNZ,6392,,0,320 MU,1758,CKG,3393,CZX,4109,,0,320 MU,1758,CKG,3393,HFE,3389,,0,320 MU,1758,CKG,3393,KMG,3382,,0,320 738 MU,1758,CKG,3393,NAY,6341,Y,0,737 MU,1758,CKG,3393,NGB,3387,,0,320 MU,1758,CKG,3393,NKG,3388,,0,320 MU,1758,CKG,3393,PVG,3406,,0,320 321 346 MU,1758,CKG,3393,SHA,3391,,0,321 738 MU,1758,CKG,3393,TNA,4108,,0,320 MU,1758,CKG,3393,TXN,6387,Y,0,737 MU,1758,CKG,3393,TYN,3369,,0,738 MU,1758,CKG,3393,WNZ,6392,,0,320 MU,1758,CKG,3393,WUX,6390,,0,320 MU,1758,CKG,3393,XIY,3379,,0,320 319 MU,1758,CKG,3393,XNN,6366,,0,320 MU,1758,CKG,3393,ZAT,6378,,0,733 MU,1758,CMB,3024,KMG,3382,,0,737 MU,1758,CMB,3024,MLE,3156,,0,737 MU,1758,CNX,3931,KMG,3382,,0,737 MU,1758,CNX,3931,PVG,3406,,0,320 MU,1758,CPH,609,AMS,580,,0,737 EMJ F70 MU,1758,CSX,3371,ICN,3930,,0,332 MU,1758,CSX,3371,KMG,3382,,0,320 733 319 MU,1758,CSX,3371,KWE,3394,,0,320 MU,1758,CSX,3371,LZH,6356,,0,319 MU,1758,CSX,3371,NAY,6341,Y,0,737 MU,1758,CSX,3371,NGB,3387,,0,320 MU,1758,CSX,3371,NKG,3388,,0,320 319 MU,1758,CSX,3371,PVG,3406,,0,320 321 MU,1758,CSX,3371,SHA,3391,,0,738 321 MU,1758,CSX,3371,WUX,6390,,0,320 MU,1758,CSX,3371,XIY,3379,,0,320 MU,1758,CSX,3371,YNZ,6393,,0,733 MU,1758,CTS,2287,PVG,3406,,0,321 320 MU,1758,CTU,3395,BKK,3885,,0,320 MU,1758,CTU,3395,CZX,4109,,0,320 MU,1758,CTU,3395,DCY,9310,,0,319 MU,1758,CTU,3395,DIG,6375,,0,737 MU,1758,CTU,3395,DLU,4054,,0,737 MU,1758,CTU,3395,HFE,3389,,0,320 MU,1758,CTU,3395,HGH,3386,,0,320 MU,1758,CTU,3395,JZH,4301,,0,319 737 MU,1758,CTU,3395,KGT,8921,,0,319 MU,1758,CTU,3395,KHN,3384,,0,738 MU,1758,CTU,3395,KMG,3382,,0,737 733 MU,1758,CTU,3395,LHW,3378,,0,738 320 MU,1758,CTU,3395,LXA,4097,,0,319 MU,1758,CTU,3395,NAY,6341,Y,0,737 MU,1758,CTU,3395,NGB,3387,,0,319 MU,1758,CTU,3395,NKG,3388,,0,320 MU,1758,CTU,3395,PVG,3406,,0,319 738 320 321 MU,1758,CTU,3395,SHA,3391,,0,738 767 MU,1758,CTU,3395,TAO,3390,,0,320 MU,1758,CTU,3395,TNA,4108,,0,319 MU,1758,CTU,3395,TXN,6387,Y,0,737 MU,1758,CTU,3395,TYN,3369,,0,738 MU,1758,CTU,3395,WUH,3376,,0,733 MU,1758,CTU,3395,WUX,6390,,0,320 321 MU,1758,CTU,3395,XIY,3379,,0,321 320 MU,1758,CTU,3395,XNN,6366,,0,320 MU,1758,CZX,4109,CKG,3393,,0,320 MU,1758,CZX,4109,CTU,3395,,0,320 MU,1758,CZX,4109,DLC,3404,,0,320 MU,1758,CZX,4109,DYG,6353,,0,320 MU,1758,CZX,4109,KWL,3372,,0,320 MU,1758,CZX,4109,NAY,6341,Y,0,737 MU,1758,CZX,4109,PEK,3364,,0,320 MU,1758,CZX,4109,SZX,3374,,0,320 MU,1758,CZX,4109,XIY,3379,,0,320 MU,1758,CZX,4109,XMN,3383,,0,320 MU,1758,DAC,3076,KMG,3382,,0,737 MU,1758,DAD,3196,KMG,3382,,0,737 MU,1758,DAT,6344,NAY,6341,Y,0,737 MU,1758,DAT,6344,PVG,3406,,0,319 MU,1758,DAX,6397,PVG,3406,,0,319 MU,1758,DCY,9310,CTU,3395,,0,319 MU,1758,DDG,6433,TAO,3390,Y,0,737 MU,1758,DEL,3093,PVG,3406,,0,332 MU,1758,DIG,6375,CTU,3395,,0,737 MU,1758,DIG,6375,JHG,3381,,0,737 MU,1758,DIG,6375,KMG,3382,,0,737 MU,1758,DIG,6375,LXA,4097,,0,737 MU,1758,DLC,3404,CGO,3375,,0,737 MU,1758,DLC,3404,CHG,6772,,0,319 MU,1758,DLC,3404,CZX,4109,,0,320 MU,1758,DLC,3404,KMG,3382,,0,737 MU,1758,DLC,3404,LDS,9848,,0,320 MU,1758,DLC,3404,LYA,4148,,0,733 MU,1758,DLC,3404,LYG,6383,,0,EMB MU,1758,DLC,3404,NKG,3388,,0,320 MU,1758,DLC,3404,NRT,2279,Y,0,767 MU,1758,DLC,3404,PEK,3364,,0,321 320 MU,1758,DLC,3404,PVG,3406,,0,320 738 319 MU,1758,DLC,3404,TAO,3390,,0,738 MU,1758,DLC,3404,XIY,3379,,0,320 MU,1758,DLU,4054,CTU,3395,,0,737 MU,1758,DLU,4054,JHG,3381,,0,737 MU,1758,DLU,4054,KMG,3382,,0,737 733 MU,1758,DNH,4308,XIY,3379,,0,320 MU,1758,DPS,3940,PVG,3406,,0,332 MU,1758,DQA,9845,TAO,3390,,0,320 MU,1758,DSN,6434,HRB,3400,,0,733 MU,1758,DSN,6434,KMG,3382,,0,733 MU,1758,DSN,6434,NAY,6341,Y,0,737 MU,1758,DSN,6434,XIY,3379,,0,320 MU,1758,DTW,3645,PEK,3364,Y,0,777 MU,1758,DTW,3645,PVG,3406,Y,0,77L 777 MU,1758,DXB,2188,KMG,3382,,0,333 MU,1758,DYG,6353,CZX,4109,,0,320 MU,1758,DYG,6353,NKG,3388,,0,320 MU,1758,DYG,6353,PVG,3406,,0,320 MU,1758,DYG,6353,XIY,3379,,0,320 MU,1758,ENH,6358,WUH,3376,,0,738 MU,1758,ENY,6367,NAY,6341,Y,0,737 MU,1758,ENY,6367,XIY,3379,,0,320 MU,1758,FCO,1555,AMS,580,,0,737 MU,1758,FCO,1555,PVG,3406,,0,332 MU,1758,FOC,3385,KMG,3382,,0,737 MU,1758,FOC,3385,NKG,3388,,0,738 MU,1758,FOC,3385,PVG,3406,,0,321 320 319 MU,1758,FOC,3385,SHA,3391,Y,0,738 MU,1758,FOC,3385,XIY,3379,,0,320 MU,1758,FRA,340,AMS,580,Y,0,EMJ MU,1758,FRA,340,PVG,3406,,0,332 MU,1758,FSZ,6476,PVG,3406,,0,738 320 MU,1758,FUG,7503,SHA,3391,Y,0,737 MU,1758,FUK,2305,PVG,3406,,0,320 738 MU,1758,FUK,2305,TAO,3390,,0,319 MU,1758,FUO,7457,NAY,6341,Y,0,737 MU,1758,GMP,2378,SHA,3391,,0,321 MU,1758,GOQ,6363,XIY,3379,,0,319 MU,1758,GOQ,6363,XNN,6366,,0,319 MU,1758,HAK,4120,KHN,3384,,0,320 MU,1758,HAK,4120,KMG,3382,,0,320 MU,1758,HAK,4120,PVG,3406,,0,320 MU,1758,HAN,3199,NNG,3373,,0,737 MU,1758,HAN,3199,PVG,3406,Y,0,321 MU,1758,HDG,8407,PVG,3406,,0,320 MU,1758,HDG,8407,SHA,3391,,0,320 737 MU,1758,HET,6345,CIF,6342,,0,320 MU,1758,HET,6345,HLD,3366,Y,0,738 MU,1758,HET,6345,HLH,6349,,0,737 MU,1758,HET,6345,NAY,6341,Y,0,737 MU,1758,HET,6345,NKG,3388,,0,320 MU,1758,HET,6345,SHA,3391,,0,320 MU,1758,HET,6345,SJW,6347,,0,319 320 MU,1758,HET,6345,TGO,6348,,0,320 MU,1758,HET,6345,TYN,3369,,0,737 MU,1758,HET,6345,WUA,6955,,0,320 MU,1758,HET,6345,XIL,6350,,0,320 MU,1758,HET,6345,XIY,3379,,0,320 MU,1758,HFE,3389,CAN,3370,,0,320 MU,1758,HFE,3389,CKG,3393,,0,320 MU,1758,HFE,3389,CTU,3395,,0,320 MU,1758,HFE,3389,HKG,3077,,0,320 MU,1758,HFE,3389,KMG,3382,,0,320 737 MU,1758,HFE,3389,KWL,3372,,0,320 MU,1758,HFE,3389,PEK,3364,,0,320 MU,1758,HFE,3389,PVG,3406,,0,320 MU,1758,HFE,3389,TAO,3390,,0,320 MU,1758,HFE,3389,TPE,2276,,0,320 MU,1758,HFE,3389,TXN,6387,,0,320 MU,1758,HFE,3389,XIY,3379,,0,320 MU,1758,HFE,3389,XMN,3383,,0,320 MU,1758,HGH,3386,CAN,3370,,0,320 MU,1758,HGH,3386,CGO,3375,,0,320 MU,1758,HGH,3386,CJJ,6008,Y,0,739 MU,1758,HGH,3386,CTU,3395,,0,320 MU,1758,HGH,3386,HKG,3077,,0,320 332 MU,1758,HGH,3386,HKT,3179,,0,320 MU,1758,HGH,3386,KMG,3382,,0,320 MU,1758,HGH,3386,LYG,6383,,0,EMB MU,1758,HGH,3386,LYI,6385,,0,320 MU,1758,HGH,3386,LZO,6399,,0,737 MU,1758,HGH,3386,PEK,3364,,0,320 321 MU,1758,HGH,3386,SJW,6347,Y,0,737 MU,1758,HGH,3386,SWA,4302,,0,320 MU,1758,HGH,3386,TAO,3390,,0,320 MU,1758,HGH,3386,TYN,3369,,0,320 737 MU,1758,HGH,3386,WUH,3376,,0,320 MU,1758,HGH,3386,XIY,3379,,0,321 320 MU,1758,HGH,3386,XMN,3383,,0,320 EMB MU,1758,HIA,7898,CAN,3370,,0,320 MU,1758,HIA,7898,HKG,3077,,0,320 MU,1758,HIA,7898,PEK,3364,,0,320 MU,1758,HIA,7898,SHA,3391,,0,320 MU,1758,HIJ,2326,PVG,3406,,0,320 MU,1758,HKG,3077,HFE,3389,,0,320 MU,1758,HKG,3077,HGH,3386,,0,332 320 MU,1758,HKG,3077,HIA,7898,,0,320 MU,1758,HKG,3077,INC,4085,,0,320 MU,1758,HKG,3077,KHN,3384,,0,320 MU,1758,HKG,3077,KMG,3382,,0,737 MU,1758,HKG,3077,LJG,4033,,0,737 MU,1758,HKG,3077,LYG,6383,,0,320 MU,1758,HKG,3077,NGB,3387,,0,320 MU,1758,HKG,3077,NKG,3388,,0,332 321 MU,1758,HKG,3077,PVG,3406,,0,320 332 321 MU,1758,HKG,3077,SHA,3391,,0,332 MU,1758,HKG,3077,TNA,4108,,0,319 MU,1758,HKG,3077,TYN,3369,,0,738 MU,1758,HKG,3077,WNZ,6392,,0,738 MU,1758,HKG,3077,WUX,6390,,0,320 MU,1758,HKG,3077,XIY,3379,,0,320 MU,1758,HKG,3077,YNT,3392,,0,320 MU,1758,HKG,3077,YNZ,6393,,0,320 MU,1758,HKT,3179,HGH,3386,,0,320 MU,1758,HKT,3179,KMG,3382,,0,737 MU,1758,HKT,3179,PVG,3406,Y,0,757 738 MU,1758,HLD,3366,HET,6345,Y,0,738 MU,1758,HLD,3366,NAY,6341,Y,0,737 MU,1758,HLH,6349,HET,6345,,0,737 MU,1758,HLH,6349,NAY,6341,Y,0,737 MU,1758,HMI,6743,PVG,3406,,0,320 MU,1758,HMI,6743,URC,3399,,0,320 MU,1758,HND,2359,PEK,3364,Y,0,767 MU,1758,HND,2359,SHA,3391,,0,321 MU,1758,HNL,3728,PVG,3406,,0,332 MU,1758,HRB,3400,CIF,6342,,0,320 MU,1758,HRB,3400,DSN,6434,,0,733 MU,1758,HRB,3400,JGD,8979,,0,320 MU,1758,HRB,3400,JNG,6944,,0,737 MU,1758,HRB,3400,NAY,6341,Y,0,737 MU,1758,HRB,3400,PEK,3364,,0,320 321 MU,1758,HRB,3400,PVG,3406,,0,320 321 319 MU,1758,HRB,3400,TAO,3390,,0,321 320 MU,1758,HRB,3400,TGO,6348,,0,320 MU,1758,HRB,3400,XIY,3379,,0,320 MU,1758,HRB,3400,YNT,3392,,0,320 MU,1758,HSN,6395,NAY,6341,Y,0,737 MU,1758,HSN,6395,PVG,3406,,0,319 MU,1758,HTN,3398,URC,3399,Y,0,738 MU,1758,HYN,6384,CAN,3370,,0,733 MU,1758,HZH,7508,KWE,3394,,0,319 MU,1758,ICN,3930,CSX,3371,,0,332 MU,1758,ICN,3930,KMG,3382,,0,320 MU,1758,ICN,3930,KWL,3372,,0,320 MU,1758,ICN,3930,NKG,3388,,0,321 320 MU,1758,ICN,3930,PVG,3406,,0,332 321 MU,1758,ICN,3930,TAO,3390,,0,320 MU,1758,ICN,3930,WUH,3376,Y,0,73J MU,1758,ICN,3930,XIY,3379,Y,0,332 MU,1758,ICN,3930,YNT,3392,,0,320 MU,1758,INC,4085,CGO,3375,,0,320 MU,1758,INC,4085,HKG,3077,,0,320 MU,1758,INC,4085,KMG,3382,,0,737 MU,1758,INC,4085,NKG,3388,,0,320 MU,1758,INC,4085,PEK,3364,,0,320 MU,1758,INC,4085,PVG,3406,,0,320 MU,1758,INC,4085,TPE,2276,,0,320 MU,1758,INC,4085,URC,3399,,0,320 MU,1758,INC,4085,XIY,3379,,0,320 MU,1758,IQN,6365,LHW,3378,Y,0,737 MU,1758,IQN,6365,NAY,6341,Y,0,737 MU,1758,JFK,3797,PVG,3406,,0,346 MU,1758,JGD,8979,HRB,3400,,0,320 MU,1758,JGN,6432,JIC,11473,Y,0,737 MU,1758,JGN,6432,LHW,3378,,0,320 MU,1758,JGN,6432,XIY,3379,,0,320 MU,1758,JGS,6428,SHA,3391,Y,0,738 MU,1758,JGS,6428,SZX,3374,,0,320 MU,1758,JGS,6428,XIY,3379,,0,320 MU,1758,JHG,3381,DIG,6375,,0,737 MU,1758,JHG,3381,DLU,4054,,0,737 MU,1758,JHG,3381,KMG,3382,,0,737 733 320 MU,1758,JHG,3381,LJG,4033,,0,737 MU,1758,JHG,3381,TCZ,7862,,0,733 MU,1758,JIC,11473,JGN,6432,Y,0,737 MU,1758,JIC,11473,NAY,6341,Y,0,737 MU,1758,JIQ,8781,KMG,3382,,0,737 MU,1758,JIQ,8781,PEK,3364,,0,737 MU,1758,JIU,6381,SHA,3391,,0,320 MU,1758,JMU,6411,TAO,3390,Y,0,737 MU,1758,JNG,6944,HRB,3400,,0,737 MU,1758,JNG,6944,KMG,3382,,0,733 737 MU,1758,JNG,6944,PEK,3364,,0,733 MU,1758,JNG,6944,SHA,3391,Y,0,737 MU,1758,JNZ,6412,PVG,3406,Y,0,737 MU,1758,JUH,9843,NAY,6341,Y,0,737 MU,1758,JUZ,6382,NAY,6341,Y,0,737 MU,1758,JXA,8417,PEK,3364,,0,320 MU,1758,JXA,8417,TAO,3390,Y,0,737 MU,1758,JZH,4301,CTU,3395,,0,319 737 MU,1758,JZH,4301,PVG,3406,,0,319 MU,1758,JZH,4301,XIY,3379,,0,319 MU,1758,KGT,8921,CTU,3395,,0,319 MU,1758,KHG,3397,NGQ,7932,,0,319 MU,1758,KHG,3397,URC,3399,,0,E90 320 73G MU,1758,KHG,3397,XIY,3379,,0,319 MU,1758,KHH,2264,KHN,3384,,0,320 MU,1758,KHH,2264,NKG,3388,,0,321 320 MU,1758,KHH,2264,WUH,3376,,0,738 MU,1758,KHN,3384,CAN,3370,,0,320 MU,1758,KHN,3384,CTU,3395,,0,738 MU,1758,KHN,3384,HAK,4120,,0,320 MU,1758,KHN,3384,HKG,3077,,0,320 MU,1758,KHN,3384,KHH,2264,,0,320 MU,1758,KHN,3384,KMG,3382,,0,320 733 MU,1758,KHN,3384,KOW,6379,,0,EMB MU,1758,KHN,3384,KWE,3394,,0,320 MU,1758,KHN,3384,NAY,6341,Y,0,737 MU,1758,KHN,3384,NGB,3387,,0,738 MU,1758,KHN,3384,NKG,3388,,0,320 MU,1758,KHN,3384,NNG,3373,,0,320 MU,1758,KHN,3384,PEK,3364,,0,320 321 MU,1758,KHN,3384,PVG,3406,,0,319 320 MU,1758,KHN,3384,SHA,3391,,0,320 MU,1758,KHN,3384,SZX,3374,,0,320 MU,1758,KHN,3384,TPE,2276,,0,320 MU,1758,KHN,3384,WUH,3376,,0,EMB MU,1758,KHN,3384,XIY,3379,,0,320 MU,1758,KIJ,4381,PVG,3406,,0,319 MU,1758,KIX,3992,NKG,3388,,0,320 MU,1758,KIX,3992,PVG,3406,,0,321 738 MU,1758,KIX,3992,TAO,3390,,0,320 MU,1758,KIX,3992,YNT,3392,,0,320 MU,1758,KMG,3382,BHY,6351,,0,737 MU,1758,KMG,3382,BKK,3885,,0,737 MU,1758,KMG,3382,BSD,7505,,0,733 MU,1758,KMG,3382,CAN,3370,,0,737 733 MU,1758,KMG,3382,CCU,3043,,0,737 MU,1758,KMG,3382,CEI,3932,,0,737 MU,1758,KMG,3382,CGO,3375,,0,737 733 MU,1758,KMG,3382,CKG,3393,,0,320 738 MU,1758,KMG,3382,CMB,3024,,0,737 MU,1758,KMG,3382,CNX,3931,,0,737 MU,1758,KMG,3382,CSX,3371,,0,733 320 319 MU,1758,KMG,3382,CTU,3395,,0,737 733 MU,1758,KMG,3382,DAC,3076,,0,737 MU,1758,KMG,3382,DAD,3196,,0,737 MU,1758,KMG,3382,DIG,6375,,0,737 MU,1758,KMG,3382,DLC,3404,,0,737 MU,1758,KMG,3382,DLU,4054,,0,737 733 MU,1758,KMG,3382,DSN,6434,,0,733 MU,1758,KMG,3382,DXB,2188,,0,333 MU,1758,KMG,3382,FOC,3385,,0,737 MU,1758,KMG,3382,HAK,4120,,0,320 MU,1758,KMG,3382,HFE,3389,,0,737 320 MU,1758,KMG,3382,HGH,3386,,0,320 MU,1758,KMG,3382,HKG,3077,,0,737 MU,1758,KMG,3382,HKT,3179,,0,737 MU,1758,KMG,3382,ICN,3930,,0,320 MU,1758,KMG,3382,INC,4085,,0,737 MU,1758,KMG,3382,JHG,3381,,0,737 733 320 MU,1758,KMG,3382,JIQ,8781,,0,737 MU,1758,KMG,3382,JNG,6944,,0,733 737 MU,1758,KMG,3382,KHN,3384,,0,733 320 MU,1758,KMG,3382,KTM,3125,,0,737 MU,1758,KMG,3382,KWL,3372,,0,738 73G MU,1758,KMG,3382,LHW,3378,,0,320 MU,1758,KMG,3382,LJG,4033,,0,733 737 MU,1758,KMG,3382,LLF,8845,,0,737 MU,1758,KMG,3382,LNJ,7527,,0,737 733 MU,1758,KMG,3382,LUM,6376,,0,733 737 MU,1758,KMG,3382,LXA,4097,,0,737 MU,1758,KMG,3382,LYA,4148,,0,733 MU,1758,KMG,3382,LZO,6399,,0,737 MU,1758,KMG,3382,MDL,3222,,0,738 MU,1758,KMG,3382,MFM,3121,,0,737 MU,1758,KMG,3382,MIG,6400,,0,737 MU,1758,KMG,3382,NAO,6401,,0,319 MU,1758,KMG,3382,NGB,3387,,0,320 MU,1758,KMG,3382,NKG,3388,,0,737 MU,1758,KMG,3382,NNG,3373,,0,737 MU,1758,KMG,3382,NYT,6949,,0,737 MU,1758,KMG,3382,PEK,3364,,0,333 737 733 MU,1758,KMG,3382,PVG,3406,,0,738 333 MU,1758,KMG,3382,REP,3035,,0,737 MU,1758,KMG,3382,RGN,3239,,0,737 MU,1758,KMG,3382,SHA,3391,,0,733 737 321 MU,1758,KMG,3382,SJW,6347,Y,0,737 MU,1758,KMG,3382,SYM,6377,,0,733 737 MU,1758,KMG,3382,SYX,4030,,0,733 MU,1758,KMG,3382,SZX,3374,,0,737 733 321 319 320 MU,1758,KMG,3382,TAO,3390,,0,320 MU,1758,KMG,3382,TCZ,7862,,0,737 733 MU,1758,KMG,3382,TPE,2276,,0,738 MU,1758,KMG,3382,TSN,3368,,0,737 MU,1758,KMG,3382,TYN,3369,,0,737 738 MU,1758,KMG,3382,VTE,3120,,0,737 MU,1758,KMG,3382,WNH,7528,,0,737 MU,1758,KMG,3382,WNZ,6392,,0,737 MU,1758,KMG,3382,WUH,3376,,0,733 738 MU,1758,KMG,3382,XIC,3396,,0,737 MU,1758,KMG,3382,XIY,3379,,0,733 737 320 MU,1758,KMG,3382,XMN,3383,,0,737 MU,1758,KMG,3382,YBP,4110,,0,733 MU,1758,KMG,3382,ZAT,6378,,0,733 MU,1758,KMQ,2322,PVG,3406,,0,319 MU,1758,KOJ,2307,PVG,3406,,0,319 MU,1758,KOW,6379,KHN,3384,,0,EMB MU,1758,KOW,6379,SHA,3391,,0,320 MU,1758,KRL,6407,URC,3399,,0,320 MU,1758,KTM,3125,KMG,3382,,0,737 MU,1758,KUL,3304,PVG,3406,,0,320 MU,1758,KWE,3394,CSX,3371,,0,320 MU,1758,KWE,3394,HZH,7508,,0,319 MU,1758,KWE,3394,KHN,3384,,0,320 MU,1758,KWE,3394,PVG,3406,,0,738 319 MU,1758,KWE,3394,SHA,3391,,0,73G 321 738 MU,1758,KWE,3394,XIY,3379,,0,320 MU,1758,KWL,3372,CZX,4109,,0,320 MU,1758,KWL,3372,HFE,3389,,0,320 MU,1758,KWL,3372,ICN,3930,,0,320 MU,1758,KWL,3372,KMG,3382,,0,738 73G MU,1758,KWL,3372,PVG,3406,,0,320 MU,1758,KWL,3372,SHA,3391,Y,0,737 MU,1758,KWL,3372,XIY,3379,,0,320 MU,1758,LAX,3484,PVG,3406,,0,346 MU,1758,LDS,9848,DLC,3404,,0,320 MU,1758,LHR,507,AMS,580,Y,0,737 F70 MU,1758,LHR,507,PVG,3406,,0,332 MU,1758,LHW,3378,CAN,3370,,0,738 MU,1758,LHW,3378,CTU,3395,,0,320 738 MU,1758,LHW,3378,IQN,6365,Y,0,737 MU,1758,LHW,3378,JGN,6432,,0,320 MU,1758,LHW,3378,KMG,3382,,0,320 MU,1758,LHW,3378,NKG,3388,,0,320 MU,1758,LHW,3378,PEK,3364,,0,320 321 MU,1758,LHW,3378,PVG,3406,,0,320 MU,1758,LHW,3378,SHA,3391,,0,320 MU,1758,LHW,3378,SJW,6347,,0,320 MU,1758,LHW,3378,TNA,4108,,0,320 MU,1758,LHW,3378,URC,3399,,0,320 MU,1758,LHW,3378,WUH,3376,,0,738 MU,1758,LHW,3378,XIY,3379,,0,320 MU,1758,LJG,4033,CAN,3370,,0,733 MU,1758,LJG,4033,HKG,3077,,0,737 MU,1758,LJG,4033,JHG,3381,,0,737 MU,1758,LJG,4033,KMG,3382,,0,733 737 MU,1758,LJG,4033,PEK,3364,,0,737 MU,1758,LJG,4033,SHA,3391,,0,737 MU,1758,LJG,4033,TCZ,7862,,0,733 MU,1758,LJG,4033,XIY,3379,,0,319 MU,1758,LLF,8845,KMG,3382,,0,737 MU,1758,LLF,8845,SZX,3374,,0,737 MU,1758,LNJ,7527,KMG,3382,,0,733 MU,1758,LUM,6376,CAN,3370,,0,737 MU,1758,LUM,6376,KMG,3382,,0,733 737 MU,1758,LXA,4097,CTU,3395,,0,319 MU,1758,LXA,4097,DIG,6375,,0,737 MU,1758,LXA,4097,KMG,3382,,0,737 MU,1758,LXA,4097,XIY,3379,,0,319 MU,1758,LYA,4148,DLC,3404,,0,733 MU,1758,LYA,4148,KMG,3382,,0,733 MU,1758,LYA,4148,PEK,3364,,0,320 MU,1758,LYA,4148,SHA,3391,,0,321 MU,1758,LYG,6383,DLC,3404,,0,EMB MU,1758,LYG,6383,HGH,3386,,0,EMB MU,1758,LYG,6383,HKG,3077,,0,320 MU,1758,LYG,6383,NAY,6341,Y,0,737 MU,1758,LYG,6383,PEK,3364,,0,319 MU,1758,LYG,6383,SHA,3391,Y,0,738 737 MU,1758,LYG,6383,WUH,3376,,0,EMB MU,1758,LYI,6385,HGH,3386,,0,320 MU,1758,LYI,6385,NAY,6341,Y,0,737 MU,1758,LYI,6385,PEK,3364,,0,319 MU,1758,LYI,6385,PVG,3406,,0,320 MU,1758,LYI,6385,SHA,3391,,0,320 MU,1758,LZH,6356,CSX,3371,,0,319 MU,1758,LZH,6356,PVG,3406,,0,320 MU,1758,LZH,6356,SHA,3391,,0,321 MU,1758,LZH,6356,SYX,4030,,0,EMB MU,1758,LZH,6356,WUH,3376,,0,EMB MU,1758,LZO,6399,HGH,3386,,0,737 MU,1758,LZO,6399,KMG,3382,,0,737 MU,1758,LZO,6399,PEK,3364,,0,737 319 MU,1758,LZO,6399,PVG,3406,,0,319 MU,1758,MAD,1229,AMS,580,,0,737 MU,1758,MDG,3402,TAO,3390,,0,320 MU,1758,MDL,3222,KMG,3382,,0,738 MU,1758,MEL,3339,AKL,2006,Y,0,73H MU,1758,MEL,3339,PVG,3406,,0,332 MU,1758,MEL,3339,SIN,3316,Y,0,333 MU,1758,MEL,3339,WLG,2042,Y,0,73H MU,1758,MFM,3121,KMG,3382,,0,737 MU,1758,MFM,3121,PVG,3406,,0,321 MU,1758,MFM,3121,SHA,3391,Y,0,738 MU,1758,MIG,6400,KMG,3382,,0,737 MU,1758,MIG,6400,PVG,3406,Y,0,738 MU,1758,MLE,3156,CMB,3024,,0,737 MU,1758,MNL,2397,PVG,3406,,0,320 MU,1758,MWX,4189,PVG,3406,,0,320 MU,1758,MYJ,2333,PVG,3406,,0,319 MU,1758,NAO,6401,KMG,3382,,0,319 MU,1758,NAO,6401,PVG,3406,,0,319 MU,1758,NAY,6341,ACX,7506,Y,0,737 MU,1758,NAY,6341,AVA,9849,Y,0,737 MU,1758,NAY,6341,BAV,6346,Y,0,737 MU,1758,NAY,6341,BFJ,9025,Y,0,737 MU,1758,NAY,6341,CAN,3370,Y,0,737 MU,1758,NAY,6341,CIF,6342,Y,0,737 MU,1758,NAY,6341,CIH,6343,Y,0,737 MU,1758,NAY,6341,CKG,3393,Y,0,737 MU,1758,NAY,6341,CSX,3371,Y,0,737 MU,1758,NAY,6341,CTU,3395,Y,0,737 MU,1758,NAY,6341,CZX,4109,Y,0,737 MU,1758,NAY,6341,DAT,6344,Y,0,737 MU,1758,NAY,6341,DSN,6434,Y,0,737 MU,1758,NAY,6341,ENY,6367,Y,0,737 MU,1758,NAY,6341,FUO,7457,Y,0,737 MU,1758,NAY,6341,HET,6345,Y,0,737 MU,1758,NAY,6341,HLD,3366,Y,0,737 MU,1758,NAY,6341,HLH,6349,Y,0,737 MU,1758,NAY,6341,HRB,3400,Y,0,737 MU,1758,NAY,6341,HSN,6395,Y,0,737 MU,1758,NAY,6341,IQN,6365,Y,0,737 MU,1758,NAY,6341,JIC,11473,Y,0,737 MU,1758,NAY,6341,JUH,9843,Y,0,737 MU,1758,NAY,6341,JUZ,6382,Y,0,737 MU,1758,NAY,6341,KHN,3384,Y,0,737 MU,1758,NAY,6341,LYG,6383,Y,0,737 MU,1758,NAY,6341,LYI,6385,Y,0,737 MU,1758,NAY,6341,NDG,6413,Y,0,737 MU,1758,NAY,6341,NGB,3387,Y,0,737 MU,1758,NAY,6341,NNY,6359,Y,0,737 MU,1758,NAY,6341,NZH,6954,Y,0,737 MU,1758,NAY,6341,SHA,3391,Y,0,737 MU,1758,NAY,6341,SZX,3374,Y,0,737 MU,1758,NAY,6341,UYN,6368,Y,0,737 73G MU,1758,NAY,6341,WNZ,6392,Y,0,737 MU,1758,NAY,6341,WUA,6955,Y,0,737 MU,1758,NAY,6341,XFN,6360,Y,0,737 MU,1758,NAY,6341,XIL,6350,Y,0,737 MU,1758,NAY,6341,XMN,3383,Y,0,737 MU,1758,NAY,6341,ZHA,6357,Y,0,737 MU,1758,NBS,8826,TSN,3368,,0,738 MU,1758,NDG,6413,NAY,6341,Y,0,737 MU,1758,NDG,6413,TAO,3390,Y,0,737 MU,1758,NGB,3387,BKK,3885,,0,320 MU,1758,NGB,3387,CAN,3370,,0,738 320 MU,1758,NGB,3387,CGO,3375,,0,320 MU,1758,NGB,3387,CJU,2370,,0,320 MU,1758,NGB,3387,CKG,3393,,0,320 MU,1758,NGB,3387,CSX,3371,,0,320 MU,1758,NGB,3387,CTU,3395,,0,319 MU,1758,NGB,3387,HKG,3077,,0,320 MU,1758,NGB,3387,KHN,3384,,0,738 MU,1758,NGB,3387,KMG,3382,,0,320 MU,1758,NGB,3387,NAY,6341,Y,0,737 MU,1758,NGB,3387,PEK,3364,,0,320 321 MU,1758,NGB,3387,SZX,3374,,0,320 MU,1758,NGB,3387,TAO,3390,,0,320 MU,1758,NGB,3387,TPE,2276,,0,320 MU,1758,NGB,3387,WUH,3376,,0,320 738 MU,1758,NGB,3387,XIY,3379,,0,320 MU,1758,NGB,3387,XMN,3383,,0,320 MU,1758,NGO,3942,PVG,3406,,0,320 MU,1758,NGO,3942,TAO,3390,,0,321 MU,1758,NGO,3942,TSN,3368,Y,0,73H MU,1758,NGQ,7932,KHG,3397,,0,319 MU,1758,NGS,2313,PVG,3406,,0,319 MU,1758,NKG,3388,BAV,6346,,0,320 MU,1758,NKG,3388,CAN,3370,,0,320 MU,1758,NKG,3388,CGO,3375,,0,320 MU,1758,NKG,3388,CIF,6342,,0,320 MU,1758,NKG,3388,CKG,3393,,0,320 MU,1758,NKG,3388,CSX,3371,,0,320 319 MU,1758,NKG,3388,CTU,3395,,0,320 MU,1758,NKG,3388,DLC,3404,,0,320 MU,1758,NKG,3388,DYG,6353,,0,320 MU,1758,NKG,3388,FOC,3385,,0,738 MU,1758,NKG,3388,HET,6345,,0,320 MU,1758,NKG,3388,HKG,3077,,0,321 332 MU,1758,NKG,3388,ICN,3930,,0,321 320 MU,1758,NKG,3388,INC,4085,,0,320 MU,1758,NKG,3388,KHH,2264,,0,321 320 MU,1758,NKG,3388,KHN,3384,,0,320 MU,1758,NKG,3388,KIX,3992,,0,320 MU,1758,NKG,3388,KMG,3382,,0,737 MU,1758,NKG,3388,LHW,3378,,0,320 MU,1758,NKG,3388,NNG,3373,,0,320 MU,1758,NKG,3388,NRT,2279,,0,320 MU,1758,NKG,3388,PEK,3364,,0,320 321 332 MU,1758,NKG,3388,PUS,2372,Y,0,73H MU,1758,NKG,3388,PVG,3406,,0,320 MU,1758,NKG,3388,SJW,6347,,0,319 320 MU,1758,NKG,3388,SYD,3361,,0,332 MU,1758,NKG,3388,SYX,4030,,0,321 MU,1758,NKG,3388,SZX,3374,,0,320 MU,1758,NKG,3388,TAO,3390,,0,321 320 MU,1758,NKG,3388,TGO,6348,,0,320 MU,1758,NKG,3388,TPE,2276,,0,320 321 MU,1758,NKG,3388,TYN,3369,,0,320 738 737 MU,1758,NKG,3388,XIY,3379,,0,321 320 MU,1758,NKG,3388,XMN,3383,,0,320 MU,1758,NKG,3388,YCU,6430,,0,320 MU,1758,NKG,3388,ZYI,9846,,0,320 MU,1758,NNG,3373,HAN,3199,,0,737 MU,1758,NNG,3373,KHN,3384,,0,320 MU,1758,NNG,3373,KMG,3382,,0,737 MU,1758,NNG,3373,NKG,3388,,0,320 MU,1758,NNG,3373,PNH,3034,,0,737 MU,1758,NNG,3373,PVG,3406,,0,73G MU,1758,NNG,3373,RGN,3239,,0,737 MU,1758,NNG,3373,SHA,3391,,0,738 320 MU,1758,NNG,3373,SIN,3316,,0,320 MU,1758,NNG,3373,SYX,4030,,0,738 MU,1758,NNG,3373,VTE,3120,,0,737 MU,1758,NNG,3373,WUH,3376,,0,738 MU,1758,NNG,3373,XIY,3379,,0,737 MU,1758,NNY,6359,NAY,6341,Y,0,737 MU,1758,NRT,2279,CAN,3370,Y,0,767 MU,1758,NRT,2279,DLC,3404,Y,0,767 MU,1758,NRT,2279,NKG,3388,,0,320 MU,1758,NRT,2279,PEK,3364,Y,0,73H 767 MU,1758,NRT,2279,PVG,3406,,0,321 333 332 MU,1758,NYT,6949,KMG,3382,,0,737 MU,1758,NZH,6954,NAY,6341,Y,0,737 MU,1758,OKA,2384,PVG,3406,,0,320 MU,1758,OKJ,2327,PVG,3406,,0,320 MU,1758,PEK,3364,CDG,1382,Y,0,77W 772 MU,1758,PEK,3364,CGQ,4380,,0,320 MU,1758,PEK,3364,CJU,2370,,0,321 MU,1758,PEK,3364,CZX,4109,,0,320 MU,1758,PEK,3364,DLC,3404,,0,320 321 MU,1758,PEK,3364,DTW,3645,Y,0,777 MU,1758,PEK,3364,HFE,3389,,0,320 MU,1758,PEK,3364,HGH,3386,,0,321 320 MU,1758,PEK,3364,HIA,7898,,0,320 MU,1758,PEK,3364,HND,2359,Y,0,767 MU,1758,PEK,3364,HRB,3400,,0,320 321 MU,1758,PEK,3364,INC,4085,,0,320 MU,1758,PEK,3364,JIQ,8781,,0,737 MU,1758,PEK,3364,JNG,6944,,0,733 MU,1758,PEK,3364,JXA,8417,,0,320 MU,1758,PEK,3364,KHN,3384,,0,320 321 MU,1758,PEK,3364,KMG,3382,,0,737 333 733 MU,1758,PEK,3364,LHW,3378,,0,321 320 MU,1758,PEK,3364,LJG,4033,,0,737 MU,1758,PEK,3364,LYA,4148,,0,320 MU,1758,PEK,3364,LYG,6383,,0,319 MU,1758,PEK,3364,LYI,6385,,0,319 MU,1758,PEK,3364,LZO,6399,,0,319 737 MU,1758,PEK,3364,NGB,3387,,0,320 321 MU,1758,PEK,3364,NKG,3388,,0,320 332 321 MU,1758,PEK,3364,NRT,2279,Y,0,767 73H MU,1758,PEK,3364,PVG,3406,,0,333 321 320 332 MU,1758,PEK,3364,SEA,3577,Y,0,76W MU,1758,PEK,3364,SHA,3391,,0,333 767 MU,1758,PEK,3364,SHE,4144,Y,0,321 320 MU,1758,PEK,3364,SPN,2244,,0,333 MU,1758,PEK,3364,TAO,3390,,0,319 320 321 MU,1758,PEK,3364,TGO,6348,,0,320 MU,1758,PEK,3364,TYN,3369,,0,738 MU,1758,PEK,3364,WNZ,6392,,0,738 MU,1758,PEK,3364,WUH,3376,,0,738 MU,1758,PEK,3364,WUX,6390,,0,321 320 MU,1758,PEK,3364,XIY,3379,,0,333 320 321 MU,1758,PEK,3364,XNN,6366,,0,320 MU,1758,PEK,3364,YNT,3392,,0,321 320 MU,1758,PER,3351,SIN,3316,Y,0,332 MU,1758,PNH,3034,NNG,3373,,0,737 MU,1758,PUS,2372,NKG,3388,Y,0,73H MU,1758,PUS,2372,PVG,3406,,0,321 320 MU,1758,PUS,2372,TAO,3390,Y,0,73H MU,1758,PVG,3406,ACX,7506,,0,319 MU,1758,PVG,3406,AMS,580,Y,0,74M MU,1758,PVG,3406,AOG,9844,Y,0,737 MU,1758,PVG,3406,BHY,6351,,0,320 MU,1758,PVG,3406,BKK,3885,,0,320 333 332 MU,1758,PVG,3406,CAN,3370,,0,738 MU,1758,PVG,3406,CDG,1382,,0,332 MU,1758,PVG,3406,CGK,3275,,0,777 MU,1758,PVG,3406,CGO,3375,,0,320 738 MU,1758,PVG,3406,CGQ,4380,,0,320 MU,1758,PVG,3406,CJU,2370,,0,738 MU,1758,PVG,3406,CKG,3393,,0,320 346 321 MU,1758,PVG,3406,CNX,3931,,0,320 MU,1758,PVG,3406,CSX,3371,,0,321 320 MU,1758,PVG,3406,CTS,2287,,0,321 320 MU,1758,PVG,3406,CTU,3395,,0,320 319 738 MU,1758,PVG,3406,DAT,6344,,0,319 MU,1758,PVG,3406,DAX,6397,,0,319 MU,1758,PVG,3406,DEL,3093,,0,332 MU,1758,PVG,3406,DLC,3404,,0,320 738 319 MU,1758,PVG,3406,DPS,3940,,0,332 MU,1758,PVG,3406,DTW,3645,Y,0,77L MU,1758,PVG,3406,DYG,6353,,0,320 MU,1758,PVG,3406,FCO,1555,,0,332 MU,1758,PVG,3406,FOC,3385,,0,320 319 321 MU,1758,PVG,3406,FRA,340,,0,332 MU,1758,PVG,3406,FSZ,6476,,0,738 320 MU,1758,PVG,3406,FUK,2305,,0,738 320 MU,1758,PVG,3406,HAK,4120,,0,320 MU,1758,PVG,3406,HAN,3199,Y,0,321 MU,1758,PVG,3406,HDG,8407,,0,320 MU,1758,PVG,3406,HFE,3389,,0,320 MU,1758,PVG,3406,HIJ,2326,,0,320 MU,1758,PVG,3406,HKG,3077,,0,321 320 332 MU,1758,PVG,3406,HKT,3179,Y,0,757 738 MU,1758,PVG,3406,HMI,6743,,0,320 MU,1758,PVG,3406,HNL,3728,,0,332 MU,1758,PVG,3406,HRB,3400,,0,321 320 319 MU,1758,PVG,3406,HSN,6395,,0,319 MU,1758,PVG,3406,ICN,3930,,0,332 321 MU,1758,PVG,3406,INC,4085,,0,320 MU,1758,PVG,3406,JFK,3797,,0,346 MU,1758,PVG,3406,JNZ,6412,Y,0,737 MU,1758,PVG,3406,JZH,4301,,0,319 MU,1758,PVG,3406,KHN,3384,,0,320 319 MU,1758,PVG,3406,KIJ,4381,,0,319 MU,1758,PVG,3406,KIX,3992,,0,321 738 MU,1758,PVG,3406,KMG,3382,,0,738 333 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MU,1758,WUH,3376,ENH,6358,,0,738 MU,1758,WUH,3376,HGH,3386,,0,320 MU,1758,WUH,3376,ICN,3930,Y,0,73J MU,1758,WUH,3376,KHH,2264,,0,738 MU,1758,WUH,3376,KHN,3384,,0,EMB MU,1758,WUH,3376,KMG,3382,,0,733 738 MU,1758,WUH,3376,LHW,3378,,0,738 MU,1758,WUH,3376,LYG,6383,,0,EMB MU,1758,WUH,3376,LZH,6356,,0,EMB MU,1758,WUH,3376,NGB,3387,,0,738 320 MU,1758,WUH,3376,NNG,3373,,0,738 MU,1758,WUH,3376,PEK,3364,,0,738 MU,1758,WUH,3376,PVG,3406,,0,738 332 320 MU,1758,WUH,3376,SHA,3391,,0,738 321 733 320 MU,1758,WUH,3376,SIN,3316,,0,320 MU,1758,WUH,3376,SYX,4030,,0,738 MU,1758,WUH,3376,SZX,3374,,0,733 MU,1758,WUH,3376,TAO,3390,,0,738 320 MU,1758,WUH,3376,TPE,2276,,0,738 MU,1758,WUH,3376,TSN,3368,,0,738 MU,1758,WUH,3376,TYN,3369,,0,737 MU,1758,WUH,3376,WNZ,6392,,0,733 MU,1758,WUH,3376,XFN,6360,,0,EMB MU,1758,WUH,3376,XIY,3379,,0,738 320 MU,1758,WUH,3376,XMN,3383,,0,320 737 MU,1758,WUH,3376,YCU,6430,,0,320 MU,1758,WUH,3376,ZYI,9846,,0,320 MU,1758,WUS,6391,SHA,3391,,0,320 MU,1758,WUX,6390,CAN,3370,,0,321 320 E90 MU,1758,WUX,6390,CKG,3393,,0,320 MU,1758,WUX,6390,CSX,3371,,0,320 MU,1758,WUX,6390,CTU,3395,,0,320 321 MU,1758,WUX,6390,HKG,3077,,0,320 MU,1758,WUX,6390,PEK,3364,,0,321 320 MU,1758,WUX,6390,SIN,3316,,0,320 MU,1758,WUX,6390,SZX,3374,,0,320 MU,1758,WUX,6390,TAO,3390,,0,320 MU,1758,WUX,6390,TPE,2276,,0,321 MU,1758,WUX,6390,XIY,3379,,0,320 MU,1758,WUX,6390,XMN,3383,,0,321 MU,1758,WXN,6403,PVG,3406,Y,0,737 MU,1758,XFN,6360,NAY,6341,Y,0,737 MU,1758,XFN,6360,WUH,3376,,0,EMB MU,1758,XIC,3396,KMG,3382,,0,737 MU,1758,XIL,6350,HET,6345,,0,320 MU,1758,XIL,6350,NAY,6341,Y,0,737 MU,1758,XIY,3379,CAN,3370,,0,320 MU,1758,XIY,3379,CGQ,4380,,0,320 MU,1758,XIY,3379,CKG,3393,,0,320 319 MU,1758,XIY,3379,CSX,3371,,0,320 MU,1758,XIY,3379,CTU,3395,,0,321 320 MU,1758,XIY,3379,CZX,4109,,0,320 MU,1758,XIY,3379,DLC,3404,,0,320 MU,1758,XIY,3379,DNH,4308,,0,320 MU,1758,XIY,3379,DSN,6434,,0,320 MU,1758,XIY,3379,DYG,6353,,0,320 MU,1758,XIY,3379,ENY,6367,,0,320 MU,1758,XIY,3379,FOC,3385,,0,320 MU,1758,XIY,3379,GOQ,6363,,0,319 MU,1758,XIY,3379,HET,6345,,0,320 MU,1758,XIY,3379,HFE,3389,,0,320 MU,1758,XIY,3379,HGH,3386,,0,321 320 MU,1758,XIY,3379,HKG,3077,,0,320 MU,1758,XIY,3379,HRB,3400,,0,320 MU,1758,XIY,3379,ICN,3930,Y,0,332 MU,1758,XIY,3379,INC,4085,,0,320 MU,1758,XIY,3379,JGN,6432,,0,320 MU,1758,XIY,3379,JGS,6428,,0,320 MU,1758,XIY,3379,JZH,4301,,0,319 MU,1758,XIY,3379,KHG,3397,,0,319 MU,1758,XIY,3379,KHN,3384,,0,320 MU,1758,XIY,3379,KMG,3382,,0,320 737 733 MU,1758,XIY,3379,KWE,3394,,0,320 MU,1758,XIY,3379,KWL,3372,,0,320 MU,1758,XIY,3379,LHW,3378,,0,320 MU,1758,XIY,3379,LJG,4033,,0,319 MU,1758,XIY,3379,LXA,4097,,0,319 MU,1758,XIY,3379,NGB,3387,,0,320 MU,1758,XIY,3379,NKG,3388,,0,320 321 MU,1758,XIY,3379,NNG,3373,,0,737 MU,1758,XIY,3379,PEK,3364,,0,321 320 333 MU,1758,XIY,3379,PVG,3406,,0,320 321 MU,1758,XIY,3379,SHA,3391,,0,320 321 MU,1758,XIY,3379,SHE,4144,,0,733 MU,1758,XIY,3379,SJW,6347,Y,0,737 MU,1758,XIY,3379,SZX,3374,,0,320 MU,1758,XIY,3379,TAO,3390,,0,320 MU,1758,XIY,3379,TNA,4108,,0,320 MU,1758,XIY,3379,TPE,2276,,0,320 MU,1758,XIY,3379,TYN,3369,,0,737 MU,1758,XIY,3379,URC,3399,,0,321 738 320 MU,1758,XIY,3379,UYN,6368,,0,319 320 MU,1758,XIY,3379,WNZ,6392,,0,737 320 MU,1758,XIY,3379,WUH,3376,,0,320 738 MU,1758,XIY,3379,WUX,6390,,0,320 MU,1758,XIY,3379,XMN,3383,,0,320 MU,1758,XIY,3379,XNN,6366,,0,319 320 MU,1758,XIY,3379,YNZ,6393,,0,320 MU,1758,XIY,3379,YZY,7987,,0,320 MU,1758,XMN,3383,CAN,3370,Y,0,738 MU,1758,XMN,3383,CZX,4109,,0,320 MU,1758,XMN,3383,HFE,3389,,0,320 MU,1758,XMN,3383,HGH,3386,,0,320 EMB MU,1758,XMN,3383,KMG,3382,,0,737 MU,1758,XMN,3383,NAY,6341,Y,0,737 MU,1758,XMN,3383,NGB,3387,,0,320 MU,1758,XMN,3383,NKG,3388,,0,320 MU,1758,XMN,3383,PVG,3406,,0,320 MU,1758,XMN,3383,SHA,3391,,0,320 737 MU,1758,XMN,3383,WUH,3376,,0,320 737 MU,1758,XMN,3383,WUX,6390,,0,321 MU,1758,XMN,3383,XIY,3379,,0,320 MU,1758,XNN,6366,CGO,3375,,0,320 MU,1758,XNN,6366,CKG,3393,,0,320 MU,1758,XNN,6366,CTU,3395,,0,320 MU,1758,XNN,6366,GOQ,6363,,0,319 MU,1758,XNN,6366,PEK,3364,,0,320 MU,1758,XNN,6366,PVG,3406,,0,319 MU,1758,XNN,6366,XIY,3379,,0,320 319 MU,1758,XNN,6366,YUS,7894,,0,319 MU,1758,XUZ,4149,SHA,3391,,0,320 MU,1758,XUZ,4149,TPE,2276,,0,320 MU,1758,YBP,4110,KMG,3382,,0,733 MU,1758,YBP,4110,PVG,3406,,0,319 MU,1758,YCU,6430,NKG,3388,,0,320 MU,1758,YCU,6430,PVG,3406,Y,0,738 MU,1758,YCU,6430,TYN,3369,,0,737 MU,1758,YCU,6430,WUH,3376,,0,320 MU,1758,YIH,6361,SHA,3391,Y,0,737 MU,1758,YNJ,6414,PVG,3406,,0,320 MU,1758,YNJ,6414,TAO,3390,,0,320 MU,1758,YNT,3392,HKG,3077,,0,320 MU,1758,YNT,3392,HRB,3400,,0,320 MU,1758,YNT,3392,ICN,3930,,0,320 MU,1758,YNT,3392,KIX,3992,,0,320 MU,1758,YNT,3392,PEK,3364,,0,320 321 MU,1758,YNT,3392,PVG,3406,,0,320 MU,1758,YNT,3392,SHA,3391,,0,320 MU,1758,YNZ,6393,CSX,3371,,0,733 MU,1758,YNZ,6393,HKG,3077,,0,320 MU,1758,YNZ,6393,SHA,3391,,0,320 MU,1758,YNZ,6393,TPE,2276,,0,320 MU,1758,YNZ,6393,XIY,3379,,0,320 MU,1758,YUS,7894,XNN,6366,,0,319 MU,1758,YVR,156,PVG,3406,,0,332 MU,1758,YZY,7987,XIY,3379,,0,320 MU,1758,ZAT,6378,CKG,3393,,0,733 MU,1758,ZAT,6378,KMG,3382,,0,737 733 MU,1758,ZHA,6357,NAY,6341,Y,0,737 MU,1758,ZHA,6357,PVG,3406,Y,0,737 MU,1758,ZQZ,10940,SJW,6347,,0,320 MU,1758,ZUH,6355,PVG,3406,,0,738 MU,1758,ZUH,6355,SHA,3391,,0,320 321 MU,1758,ZYI,9846,NKG,3388,,0,320 MU,1758,ZYI,9846,WUH,3376,,0,320 MW,3437,HNL,3728,JHM,3796,,0,CNA MW,3437,HNL,3728,MKK,3705,,0,CNA MW,3437,HNL,3728,OGG,3456,,0,CNA MW,3437,HNM,3445,OGG,3456,,0,CNA MW,3437,JHM,3796,HNL,3728,,0,CNA MW,3437,JHM,3796,KOA,3514,,0,CNA MW,3437,KOA,3514,JHM,3796,,0,CNA MW,3437,KOA,3514,OGG,3456,,0,CNA MW,3437,LNY,3851,MKK,3705,,0,CNA MW,3437,LNY,3851,OGG,3456,,0,CNA MW,3437,MKK,3705,HNL,3728,,0,CNA MW,3437,MKK,3705,OGG,3456,,0,CNA MW,3437,MUE,3545,OGG,3456,,0,CNA MW,3437,OGG,3456,HNL,3728,,0,CNA MW,3437,OGG,3456,HNM,3445,,0,CNA MW,3437,OGG,3456,KOA,3514,,0,CNA MW,3437,OGG,3456,LNY,3851,,0,CNA MW,3437,OGG,3456,MKK,3705,,0,CNA MW,3437,OGG,3456,MUE,3545,,0,CNA MY,3498,BZE,1957,CUK,5454,,0,CNC MY,3498,BZE,1957,DGA,7287,,0,CNC MY,3498,BZE,1957,SPR,4279,,0,CNC MY,3498,BZE,1957,TZA,6463,,0,CNC MY,3498,CUK,5454,BZE,1957,,0,CNC MY,3498,CUK,5454,SPR,4279,,0,CNC MY,3498,CZH,7029,ORZ,\N,,0,CNC MY,3498,CZH,7029,SPR,4279,,0,CNC MY,3498,DGA,7287,BZE,1957,,0,CNC MY,3498,DGA,7287,INB,9757,,0,CNC MY,3498,DGA,7287,PLJ,7288,,0,CNC MY,3498,DGA,7287,SVK,9756,,0,CNC MY,3498,INB,9757,PLJ,7288,,0,CNC MY,3498,INB,9757,PND,5455,,0,CNC MY,3498,ORZ,\N,CZH,7029,,0,CNC MY,3498,ORZ,\N,SPR,4279,,0,CNC MY,3498,PLJ,7288,DGA,7287,,0,CNC MY,3498,PLJ,7288,INB,9757,,0,CNC MY,3498,PLJ,7288,PND,5455,,0,CNC MY,3498,PLJ,7288,SVK,9756,,0,CNC MY,3498,PND,5455,INB,9757,,0,CNC MY,3498,SPR,4279,BZE,1957,,0,CNC MY,3498,SPR,4279,CUK,5454,,0,CNC MY,3498,SPR,4279,CZH,7029,,0,CNC MY,3498,SPR,4279,ORZ,\N,,0,CNC MY,3498,SPR,4279,TZA,6463,,0,CNC MY,3498,SVK,9756,DGA,7287,,0,CNC MY,3498,SVK,9756,INB,9757,,0,CNC MY,3498,SVK,9756,PLJ,7288,,0,CNC MY,3498,TZA,6463,BZE,1957,,0,CNC MY,3498,TZA,6463,DGA,7287,,0,CNC MY,3498,TZA,6463,SPR,4279,,0,CNC N3,3783,AUA,2895,JBQ,5811,,0,J32 N3,3783,JBQ,5811,AUA,2895,,0,J32 N3,3783,JBQ,5811,PAP,1897,,0,J32 N3,3783,PAP,1897,JBQ,5811,,0,J32 NF,524,AKL,2006,VLI,1997,,0,738 NF,524,AUY,5914,TAH,4242,,0,YN2 BNI NF,524,AWD,5915,FTA,5917,,0,YN2 NF,524,AWD,5915,TAH,4242,,0,BNI YN2 NF,524,BNE,3320,SON,5908,,0,738 NF,524,BNE,3320,VLI,1997,,0,738 NF,524,CCV,5897,LNB,5902,,0,DHT NF,524,CCV,5897,NUS,5905,,0,YN2 DHT NF,524,CCV,5897,ULB,5910,,0,DHT YN2 NF,524,DLY,5916,IPA,5918,,0,YN2 NF,524,DLY,5916,VLI,1997,,0,YN2 NF,524,EAE,5896,VLI,1997,,0,BNI NF,524,FTA,5917,AWD,5915,,0,YN2 NF,524,FTA,5917,TAH,4242,,0,YN2 BNI NF,524,HIR,4074,VLI,1997,Y,0,320 NF,524,IPA,5918,DLY,5916,,0,YN2 NF,524,IPA,5918,TAH,4242,,0,YN2 NF,524,IPA,5918,VLI,1997,,0,YN2 NF,524,LNB,5902,CCV,5897,,0,DHT NF,524,LNB,5902,VLI,1997,,0,DHT NF,524,LNE,5904,LOD,5898,,0,DHT NF,524,LNE,5904,SON,5908,,0,YN2 BNI NF,524,LNE,5904,VLI,1997,,0,DHT NF,524,LOD,5898,LNE,5904,,0,DHT NF,524,LOD,5898,SON,5908,,0,DHT YN2 BNI NF,524,LPM,5901,NUS,5905,,0,DHT NF,524,LPM,5901,VLI,1997,,0,DHT NF,524,MTV,5893,SLH,5894,,0,DHT NF,524,MTV,5893,TOH,5895,,0,DHT NF,524,MTV,5893,ZGU,5906,,0,YN2 NF,524,MWF,5903,SON,5908,,0,DHT NF,524,NOU,2005,VLI,1997,,0,ATR NF,524,NUS,5905,CCV,5897,,0,DHT YN2 NF,524,NUS,5905,LPM,5901,,0,DHT NF,524,NUS,5905,SON,5908,,0,DHT YN2 NF,524,NUS,5905,SWJ,5912,,0,DHT NF,524,NUS,5905,VLI,1997,,0,YN2 DHT BNI NF,524,PBJ,5900,ULB,5910,,0,DHT NF,524,PBJ,5900,VLI,1997,,0,DHT NF,524,SLH,5894,MTV,5893,,0,YN2 NF,524,SLH,5894,SON,5908,,0,DHT YN2 NF,524,SLH,5894,TOH,5895,,0,DHT NF,524,SON,5908,BNE,3320,,0,738 NF,524,SON,5908,LNE,5904,,0,YN2 BNI DHT NF,524,SON,5908,LOD,5898,,0,DHT YN2 BNI NF,524,SON,5908,MWF,5903,,0,DHT NF,524,SON,5908,NUS,5905,,0,DHT YN2 BNI NF,524,SON,5908,SLH,5894,,0,DHT YN2 NF,524,SON,5908,SSR,5899,,0,DHT NF,524,SON,5908,VLI,1997,,0,ATR DHT NF,524,SON,5908,WLH,6771,,0,DHT YN2 NF,524,SON,5908,ZGU,5906,,0,DHT NF,524,SSR,5899,SON,5908,,0,DHT NF,524,SWJ,5912,NUS,5905,,0,DHT NF,524,SWJ,5912,VLI,1997,,0,DHT NF,524,SYD,3361,VLI,1997,,0,738 NF,524,TAH,4242,AUY,5914,,0,YN2 BNI NF,524,TAH,4242,AWD,5915,,0,YN2 BNI NF,524,TAH,4242,FTA,5917,,0,BNI YN2 NF,524,TAH,4242,IPA,5918,,0,YN2 NF,524,TAH,4242,VLI,1997,,0,ATR YN2 DHT BNI NF,524,TGH,5909,VLI,1997,,0,BNI NF,524,TOH,5895,MTV,5893,,0,DHT NF,524,TOH,5895,SLH,5894,,0,DHT NF,524,TOH,5895,ZGU,5906,,0,DHT NF,524,ULB,5910,CCV,5897,,0,DHT NF,524,ULB,5910,PBJ,5900,,0,DHT NF,524,ULB,5910,VLI,1997,,0,YN2 NF,524,VLI,1997,AKL,2006,,0,738 NF,524,VLI,1997,BNE,3320,,0,738 NF,524,VLI,1997,CCV,5897,,0,YN2 NF,524,VLI,1997,DLY,5916,,0,YN2 NF,524,VLI,1997,EAE,5896,,0,BNI NF,524,VLI,1997,HIR,4074,Y,0,320 NF,524,VLI,1997,IPA,5918,,0,YN2 NF,524,VLI,1997,LNB,5902,,0,DHT NF,524,VLI,1997,LNE,5904,,0,DHT BNI NF,524,VLI,1997,LPM,5901,,0,DHT NF,524,VLI,1997,NOU,2005,,0,ATR NF,524,VLI,1997,NUS,5905,,0,YN2 DHT NF,524,VLI,1997,PBJ,5900,,0,DHT NF,524,VLI,1997,SON,5908,,0,ATR DHT NF,524,VLI,1997,SWJ,5912,,0,DHT NF,524,VLI,1997,SYD,3361,,0,738 NF,524,VLI,1997,TAH,4242,,0,ATR YN2 DHT BNI NF,524,VLI,1997,TGH,5909,,0,BNI NF,524,VLI,1997,VLS,5911,,0,BNI NF,524,VLS,5911,VLI,1997,,0,BNI NF,524,WLH,6771,SON,5908,,0,DHT YN2 NF,524,ZGU,5906,MTV,5893,,0,DHT NF,524,ZGU,5906,SON,5908,,0,DHT YN2 NF,524,ZGU,5906,TOH,5895,,0,DHT NH,324,AKJ,2299,HND,2359,Y,0,737 763 735 NH,324,AKJ,2299,NGO,3942,,0,737 NH,324,AKJ,2299,TPE,2276,Y,0,332 NH,324,AKL,2006,NRT,2279,Y,0,763 772 NH,324,ATL,3682,IAD,3714,Y,0,ERJ E70 NH,324,ATL,3682,ORD,3830,Y,0,CR7 NH,324,AUH,2179,NRT,2279,Y,0,332 NH,324,AUH,2179,PEK,3364,Y,0,332 NH,324,AXT,2345,CTS,2287,Y,0,DH8 NH,324,AXT,2345,HND,2359,,0,787 767 737 738 NH,324,AXT,2345,ITM,2334,Y,0,DH8 NH,324,AXT,2345,NGO,3942,Y,0,DH8 NH,324,BKK,3885,BOM,2997,,0,777 NH,324,BKK,3885,CEI,3932,Y,0,734 NH,324,BKK,3885,CNX,3931,Y,0,AB6 NH,324,BKK,3885,HKT,3179,Y,0,333 NH,324,BKK,3885,HND,2359,,0,777 763 747 NH,324,BKK,3885,KIX,3992,Y,0,773 NH,324,BKK,3885,NGO,3942,Y,0,773 777 NH,324,BKK,3885,NRT,2279,,0,777 76F NH,324,BOM,2997,BKK,3885,,0,777 NH,324,BOM,2997,NRT,2279,,0,737 NH,324,CAN,3370,NRT,2279,,0,763 NH,324,CDG,1382,HND,2359,,0,777 NH,324,CDG,1382,NRT,2279,,0,777 NH,324,CEI,3932,BKK,3885,Y,0,734 NH,324,CGK,3275,HND,2359,,0,788 NH,324,CGK,3275,KIX,3992,,0,332 NH,324,CGK,3275,NRT,2279,,0,763 777 NH,324,CJU,2370,FUK,2305,Y,0,320 NH,324,CKG,3393,PVG,3406,Y,0,738 NH,324,CTS,2287,AXT,2345,Y,0,DH8 NH,324,CTS,2287,FKS,5999,Y,0,737 735 NH,324,CTS,2287,FSZ,6476,,0,737 NH,324,CTS,2287,FUK,2305,,0,772 767 NH,324,CTS,2287,GUM,2246,Y,0,738 NH,324,CTS,2287,HIJ,2326,,0,320 NH,324,CTS,2287,HKD,2288,Y,0,DH8 NH,324,CTS,2287,HND,2359,,0,772 773 787 320 767 737 NH,324,CTS,2287,ITM,2334,,0,320 772 NH,324,CTS,2287,KIJ,4381,Y,0,737 DH8 NH,324,CTS,2287,KIX,3992,,0,737 NH,324,CTS,2287,KMQ,2322,Y,0,737 NH,324,CTS,2287,KUH,5994,,0,737 NH,324,CTS,2287,MMB,2290,,0,DH8 NH,324,CTS,2287,NGO,3942,,0,767 320 737 NH,324,CTS,2287,NRT,2279,,0,320 737 NH,324,CTS,2287,OKA,2384,Y,0,737 NH,324,CTS,2287,OKJ,2327,Y,0,737 NH,324,CTS,2287,PEK,3364,Y,0,738 NH,324,CTS,2287,SDJ,2347,,0,735 737 NH,324,CTS,2287,SHB,2291,,0,DH8 NH,324,CTS,2287,TOY,2324,Y,0,737 735 NH,324,CTS,2287,TPE,2276,Y,0,332 NH,324,CTS,2287,UKB,3943,,0,737 NH,324,CTS,2287,WKJ,2294,,0,DH8 NH,324,CTU,3395,NRT,2279,,0,763 NH,324,CTU,3395,PEK,3364,Y,0,320 NH,324,CTU,3395,PVG,3406,Y,0,319 NH,324,DEL,3093,NRT,2279,,0,763 NH,324,DEN,3751,NRT,2279,Y,0,788 NH,324,DLC,3404,FUK,2305,Y,0,738 NH,324,DLC,3404,HIJ,2326,Y,0,738 NH,324,DLC,3404,KIX,3992,,0,737 NH,324,DLC,3404,NRT,2279,Y,0,738 763 NH,324,DLC,3404,PEK,3364,Y,0,738 NH,324,DLC,3404,TSN,3368,Y,0,738 NH,324,DOH,11051,KIX,3992,Y,0,332 NH,324,DOH,11051,NRT,2279,Y,0,77L NH,324,DPS,3940,HND,2359,,0,332 NH,324,DPS,3940,KIX,3992,,0,333 NH,324,DPS,3940,NRT,2279,,0,333 NH,324,DUS,345,NRT,2279,,0,788 NH,324,EWR,3494,NRT,2279,Y,0,777 NH,324,EWR,3494,YVR,156,,0,319 NH,324,FKS,5999,CTS,2287,Y,0,737 735 NH,324,FKS,5999,ITM,2334,Y,0,735 CRJ DH8 CR7 NH,324,FOC,3385,KIX,3992,Y,0,320 NH,324,FOC,3385,SZX,3374,Y,0,320 NH,324,FRA,340,HND,2359,,0,788 744 77W NH,324,FRA,340,KIX,3992,Y,0,744 NH,324,FRA,340,NGO,3942,Y,0,343 NH,324,FSZ,6476,CTS,2287,,0,737 NH,324,FSZ,6476,ICN,3930,Y,0,320 NH,324,FSZ,6476,OKA,2384,,0,737 NH,324,FUJ,2304,FUK,2305,,0,DH8 NH,324,FUJ,2304,NGS,2313,Y,0,DH2 NH,324,FUK,2305,CJU,2370,Y,0,320 NH,324,FUK,2305,CTS,2287,,0,772 767 NH,324,FUK,2305,DLC,3404,Y,0,738 NH,324,FUK,2305,FUJ,2304,Y,0,DH8 DH2 NH,324,FUK,2305,GUM,2246,Y,0,738 73G NH,324,FUK,2305,HND,2359,,0,773 772 767 787 738 NH,324,FUK,2305,ICN,3930,Y,0,333 321 77L 763 NH,324,FUK,2305,ISG,2387,,0,735 NH,324,FUK,2305,ITM,2334,,0,735 767 737 NH,324,FUK,2305,KIJ,4381,Y,0,735 NH,324,FUK,2305,KIX,3992,,0,737 NH,324,FUK,2305,KMI,2308,Y,0,DH8 CR7 CRJ NH,324,FUK,2305,KMQ,2322,,0,735 NH,324,FUK,2305,NGO,3942,,0,735 738 737 NH,324,FUK,2305,NRT,2279,,0,735 738 NH,324,FUK,2305,OKA,2384,,0,735 767 738 NH,324,FUK,2305,SDJ,2347,,0,735 NH,324,FUK,2305,SIN,3316,Y,0,333 NH,324,FUK,2305,TPE,2276,Y,0,332 333 NH,324,FUK,2305,TSJ,2297,Y,0,735 DH8 NH,324,GMP,2378,HND,2359,,0,77W 777 NH,324,GMP,2378,KIX,3992,Y,0,321 NH,324,GUM,2246,CTS,2287,Y,0,738 NH,324,GUM,2246,FUK,2305,Y,0,738 73G NH,324,GUM,2246,KIX,3992,Y,0,73G 738 NH,324,GUM,2246,NGO,3942,Y,0,73G 738 NH,324,GUM,2246,NRT,2279,Y,0,777 NH,324,GUM,2246,OKJ,2327,Y,0,73G NH,324,GUM,2246,SDJ,2347,Y,0,73G NH,324,HAC,2352,HND,2359,,0,738 320 NH,324,HAN,3199,HND,2359,,0,763 NH,324,HGH,3386,KIX,3992,,0,737 NH,324,HGH,3386,NRT,2279,,0,737 NH,324,HIJ,2326,CTS,2287,,0,320 NH,324,HIJ,2326,DLC,3404,Y,0,738 NH,324,HIJ,2326,HND,2359,,0,787 772 767 320 NH,324,HIJ,2326,ICN,3930,Y,0,321 NH,324,HIJ,2326,NRT,2279,Y,0,CR7 NH,324,HIJ,2326,OKA,2384,,0,767 NH,324,HIJ,2326,SDJ,2347,Y,0,CR7 CRJ NH,324,HKD,2288,CTS,2287,Y,0,DH8 NH,324,HKD,2288,HND,2359,,0,772 767 320 NH,324,HKD,2288,KIX,3992,,0,737 NH,324,HKD,2288,NGO,3942,,0,320 NH,324,HKD,2288,TPE,2276,Y,0,332 NH,324,HKG,3077,HND,2359,,0,777 NH,324,HKG,3077,KIX,3992,,0,763 NH,324,HKG,3077,NGO,3942,,0,737 NH,324,HKG,3077,NRT,2279,Y,0,763 NH,324,HND,2359,AKJ,2299,Y,0,737 763 735 NH,324,HND,2359,AXT,2345,,0,767 737 787 738 NH,324,HND,2359,BKK,3885,,0,777 747 763 NH,324,HND,2359,CDG,1382,,0,777 NH,324,HND,2359,CGK,3275,,0,788 NH,324,HND,2359,CTS,2287,,0,737 773 772 787 767 320 NH,324,HND,2359,DPS,3940,,0,332 NH,324,HND,2359,FRA,340,,0,788 77W 744 NH,324,HND,2359,FUK,2305,,0,767 772 787 773 738 NH,324,HND,2359,GMP,2378,,0,777 77W NH,324,HND,2359,HAC,2352,,0,738 320 NH,324,HND,2359,HAN,3199,,0,763 NH,324,HND,2359,HIJ,2326,,0,787 772 767 320 NH,324,HND,2359,HKD,2288,,0,772 767 NH,324,HND,2359,HKG,3077,,0,777 NH,324,HND,2359,HNL,3728,Y,0,763 NH,324,HND,2359,HSG,5996,,0,320 737 738 NH,324,HND,2359,ICN,3930,Y,0,321 NH,324,HND,2359,ISG,2387,,0,737 767 NH,324,HND,2359,ITM,2334,,0,320 772 773 787 767 NH,324,HND,2359,IWJ,5998,,0,320 737 NH,324,HND,2359,IWK,11922,,0,737 738 NH,324,HND,2359,KCZ,2332,,0,767 738 NH,324,HND,2359,KIX,3992,,0,767 737 772 NH,324,HND,2359,KKJ,2311,Y,0,320 NH,324,HND,2359,KMI,2308,,0,320 787 767 NH,324,HND,2359,KMJ,2312,,0,787 767 320 NH,324,HND,2359,KMQ,2322,,0,772 767 320 787 NH,324,HND,2359,KOJ,2307,,0,767 787 320 NH,324,HND,2359,KUH,5994,,0,767 320 737 NH,324,HND,2359,LAX,3484,,0,777 NH,324,HND,2359,LHR,507,,0,77W NH,324,HND,2359,MBE,2298,,0,738 NH,324,HND,2359,MMB,2290,Y,0,737 735 NH,324,HND,2359,MNL,2397,,0,788 NH,324,HND,2359,MUC,346,,0,346 788 NH,324,HND,2359,MYJ,2333,,0,772 787 767 NH,324,HND,2359,NGS,2313,,0,772 NH,324,HND,2359,NTQ,3409,,0,737 738 NH,324,HND,2359,OBO,2286,Y,0,737 735 NH,324,HND,2359,OIM,2356,Y,0,737 NH,324,HND,2359,OIT,2310,,0,767 320 737 NH,324,HND,2359,OKA,2384,,0,738 773 772 NH,324,HND,2359,OKJ,2327,,0,787 767 738 NH,324,HND,2359,ONJ,6000,,0,738 737 NH,324,HND,2359,PEK,3364,,0,788 NH,324,HND,2359,SHA,3391,,0,777 NH,324,HND,2359,SHB,2291,,0,738 NH,324,HND,2359,SIN,3316,,0,788 773 NH,324,HND,2359,SYO,6001,,0,320 767 738 NH,324,HND,2359,TAK,2337,,0,787 767 320 NH,324,HND,2359,TKS,2336,,0,738 737 NH,324,HND,2359,TOY,2324,,0,767 787 NH,324,HND,2359,TSA,2275,,0,788 763 NH,324,HND,2359,TTJ,2335,,0,738 737 320 NH,324,HND,2359,UBJ,2296,,0,767 NH,324,HND,2359,UKB,3943,,0,737 767 NH,324,HND,2359,WKJ,2294,,0,737 NH,324,HND,2359,YGJ,2330,,0,767 738 737 320 NH,324,HND,2359,YVR,156,,0,763 NH,324,HNL,3728,HND,2359,Y,0,763 NH,324,HNL,3728,NRT,2279,Y,0,744 763 NH,324,HSG,5996,HND,2359,,0,737 320 738 NH,324,IAD,3714,ATL,3682,Y,0,CRJ NH,324,IAD,3714,NRT,2279,,0,777 77W NH,324,IAH,3550,NRT,2279,Y,0,777 NH,324,ICN,3930,FSZ,6476,Y,0,320 NH,324,ICN,3930,FUK,2305,Y,0,333 321 77L 763 NH,324,ICN,3930,HIJ,2326,Y,0,321 NH,324,ICN,3930,HND,2359,Y,0,321 NH,324,ICN,3930,KIX,3992,Y,0,77L 74E 763 772 321 NH,324,ICN,3930,KMI,2308,Y,0,321 NH,324,ICN,3930,KMJ,2312,Y,0,321 320 NH,324,ICN,3930,MYJ,2333,Y,0,321 NH,324,ICN,3930,NGO,3942,Y,0,321 763 NH,324,ICN,3930,NRT,2279,Y,0,333 321 738 772 74E NH,324,ICN,3930,OKA,2384,Y,0,321 NH,324,ICN,3930,SDJ,2347,Y,0,321 763 NH,324,ICN,3930,TAK,2337,Y,0,321 320 NH,324,ICN,3930,TOY,2324,Y,0,321 NH,324,ICN,3930,YGJ,2330,Y,0,321 320 NH,324,IKI,2295,NGS,2313,Y,0,DH2 NH,324,ISG,2387,FUK,2305,,0,735 NH,324,ISG,2387,HND,2359,,0,737 767 NH,324,ISG,2387,KIX,3992,,0,737 NH,324,ISG,2387,MMY,2390,,0,735 NH,324,ISG,2387,NGO,3942,,0,737 NH,324,ISG,2387,OKA,2384,,0,735 738 NH,324,IST,1701,KIX,3992,Y,0,332 NH,324,IST,1701,NRT,2279,Y,0,332 77W NH,324,ITM,2334,AXT,2345,Y,0,DH8 NH,324,ITM,2334,CTS,2287,,0,772 320 NH,324,ITM,2334,FKS,5999,Y,0,735 CRJ DH8 CR7 NH,324,ITM,2334,FUK,2305,,0,767 735 737 NH,324,ITM,2334,HND,2359,,0,772 767 787 773 320 NH,324,ITM,2334,KCZ,2332,Y,0,DH8 735 NH,324,ITM,2334,KIJ,4381,,0,738 NH,324,ITM,2334,KMI,2308,,0,737 735 DH8 NH,324,ITM,2334,KMJ,2312,,0,320 DH8 735 NH,324,ITM,2334,KOJ,2307,,0,320 767 735 NH,324,ITM,2334,MYJ,2333,Y,0,DH8 737 320 767 NH,324,ITM,2334,NGS,2313,,0,320 735 NH,324,ITM,2334,NRT,2279,,0,738 767 NH,324,ITM,2334,OIT,2310,Y,0,CR7 DH8 NH,324,ITM,2334,OKA,2384,,0,738 767 NH,324,ITM,2334,SDJ,2347,,0,320 767 NH,324,IWJ,5998,HND,2359,,0,320 737 NH,324,IWK,11922,HND,2359,,0,737 738 NH,324,JFK,3797,NRT,2279,,0,77W NH,324,KCZ,2332,HND,2359,,0,767 738 NH,324,KCZ,2332,ITM,2334,Y,0,DH8 735 NH,324,KHH,2264,NRT,2279,,0,321 NH,324,KIJ,4381,CTS,2287,Y,0,DH8 737 NH,324,KIJ,4381,FUK,2305,Y,0,735 NH,324,KIJ,4381,ITM,2334,,0,738 NH,324,KIJ,4381,NGO,3942,Y,0,DH8 NH,324,KIJ,4381,NRT,2279,Y,0,DH8 NH,324,KIJ,4381,OKA,2384,,0,735 NH,324,KIX,3992,BKK,3885,Y,0,773 NH,324,KIX,3992,CGK,3275,,0,332 NH,324,KIX,3992,CTS,2287,,0,737 NH,324,KIX,3992,DLC,3404,,0,737 NH,324,KIX,3992,DOH,11051,Y,0,332 NH,324,KIX,3992,DPS,3940,,0,333 NH,324,KIX,3992,FOC,3385,Y,0,320 NH,324,KIX,3992,FRA,340,Y,0,744 NH,324,KIX,3992,FUK,2305,,0,737 NH,324,KIX,3992,GMP,2378,Y,0,321 NH,324,KIX,3992,GUM,2246,Y,0,73G 738 NH,324,KIX,3992,HGH,3386,,0,737 NH,324,KIX,3992,HKD,2288,,0,737 NH,324,KIX,3992,HKG,3077,,0,763 NH,324,KIX,3992,HND,2359,,0,320 772 737 767 NH,324,KIX,3992,ICN,3930,Y,0,763 77L 74E 772 321 NH,324,KIX,3992,ISG,2387,,0,737 NH,324,KIX,3992,IST,1701,Y,0,332 NH,324,KIX,3992,MFM,3121,Y,0,319 NH,324,KIX,3992,NRT,2279,Y,0,744 NH,324,KIX,3992,OKA,2384,,0,767 737 735 772 NH,324,KIX,3992,PEK,3364,,0,737 NH,324,KIX,3992,PVG,3406,,0,763 NH,324,KIX,3992,SFO,3469,Y,0,777 788 NH,324,KIX,3992,SIN,3316,Y,0,333 NH,324,KIX,3992,TAO,3390,,0,763 NH,324,KIX,3992,TNA,4108,Y,0,738 NH,324,KIX,3992,TPE,2276,,0,321 NH,324,KIX,3992,WUX,6390,Y,0,738 NH,324,KKJ,2311,HND,2359,Y,0,320 NH,324,KMI,2308,FUK,2305,Y,0,DH8 CR7 CRJ NH,324,KMI,2308,HND,2359,,0,767 320 787 NH,324,KMI,2308,ICN,3930,Y,0,321 NH,324,KMI,2308,ITM,2334,,0,737 DH8 735 320 NH,324,KMI,2308,NGO,3942,,0,737 735 DH8 NH,324,KMI,2308,OKA,2384,Y,0,737 NH,324,KMJ,2312,HND,2359,,0,787 767 320 NH,324,KMJ,2312,ICN,3930,Y,0,321 320 NH,324,KMJ,2312,ITM,2334,,0,320 DH8 738 735 NH,324,KMJ,2312,NGO,3942,,0,320 NH,324,KMJ,2312,OKA,2384,,0,737 NH,324,KMQ,2322,CTS,2287,Y,0,737 NH,324,KMQ,2322,FUK,2305,,0,735 NH,324,KMQ,2322,HND,2359,,0,772 767 320 787 NH,324,KMQ,2322,NRT,2279,Y,0,CR7 CRJ NH,324,KMQ,2322,SDJ,2347,Y,0,CR7 CRJ NH,324,KMQ,2322,TPE,2276,Y,0,321 332 NH,324,KOJ,2307,HND,2359,,0,787 320 767 NH,324,KOJ,2307,ITM,2334,,0,735 767 320 NH,324,KOJ,2307,NGO,3942,,0,737 738 NH,324,KOJ,2307,OKA,2384,,0,735 NH,324,KUH,5994,CTS,2287,,0,737 NH,324,KUH,5994,HND,2359,,0,767 320 737 NH,324,LAX,3484,HND,2359,,0,777 NH,324,LAX,3484,NRT,2279,,0,77W NH,324,LHR,507,HND,2359,,0,77W NH,324,LHR,507,LIS,1638,Y,0,320 321 319 NH,324,LHR,507,NRT,2279,,0,346 343 NH,324,LHR,507,WAW,679,Y,0,734 NH,324,LIS,1638,LHR,507,Y,0,320 321 319 NH,324,MBE,2298,HND,2359,,0,738 NH,324,MFM,3121,KIX,3992,Y,0,319 NH,324,MFM,3121,NRT,2279,Y,0,321 320 319 NH,324,MMB,2290,CTS,2287,,0,DH8 NH,324,MMB,2290,HND,2359,Y,0,737 735 NH,324,MMB,2290,NGO,3942,,0,735 NH,324,MMY,2390,ISG,2387,,0,735 NH,324,MMY,2390,OKA,2384,,0,735 NH,324,MNL,2397,HND,2359,,0,788 NH,324,MNL,2397,NRT,2279,,0,763 NH,324,MSY,3861,ORD,3830,Y,0,CR7 NH,324,MUC,346,HND,2359,,0,346 788 NH,324,MYJ,2333,HND,2359,,0,772 787 767 NH,324,MYJ,2333,ICN,3930,Y,0,321 NH,324,MYJ,2333,ITM,2334,Y,0,767 DH8 737 320 NH,324,MYJ,2333,NGO,3942,Y,0,DH8 NH,324,MYJ,2333,OKA,2384,,0,737 NH,324,NGO,3942,AKJ,2299,,0,737 NH,324,NGO,3942,AXT,2345,Y,0,DH8 NH,324,NGO,3942,BKK,3885,Y,0,777 NH,324,NGO,3942,CTS,2287,,0,320 737 767 NH,324,NGO,3942,FRA,340,Y,0,343 NH,324,NGO,3942,FUK,2305,,0,735 738 NH,324,NGO,3942,GUM,2246,Y,0,73G 738 NH,324,NGO,3942,HKD,2288,,0,320 NH,324,NGO,3942,HKG,3077,,0,737 NH,324,NGO,3942,ICN,3930,Y,0,321 763 NH,324,NGO,3942,ISG,2387,,0,737 NH,324,NGO,3942,KIJ,4381,Y,0,DH8 NH,324,NGO,3942,KMI,2308,,0,735 320 NH,324,NGO,3942,KMJ,2312,,0,737 320 NH,324,NGO,3942,KOJ,2307,,0,735 738 737 NH,324,NGO,3942,MMB,2290,,0,735 NH,324,NGO,3942,MYJ,2333,Y,0,DH8 NH,324,NGO,3942,NGS,2313,,0,737 NH,324,NGO,3942,NRT,2279,,0,737 320 NH,324,NGO,3942,OIT,2310,Y,0,CR7 NH,324,NGO,3942,OKA,2384,,0,767 NH,324,NGO,3942,PEK,3364,Y,0,738 NH,324,NGO,3942,PVG,3406,,0,737 NH,324,NGO,3942,SDJ,2347,,0,DH8 735 NH,324,NGO,3942,SIN,3316,Y,0,333 NH,324,NGS,2313,FUJ,2304,Y,0,DH2 NH,324,NGS,2313,HND,2359,,0,772 NH,324,NGS,2313,IKI,2295,Y,0,DH2 NH,324,NGS,2313,ITM,2334,,0,735 737 NH,324,NGS,2313,NGO,3942,,0,737 NH,324,NGS,2313,OKA,2384,,0,320 NH,324,NGS,2313,TSJ,2297,Y,0,DH2 NH,324,NRT,2279,AKL,2006,Y,0,763 772 NH,324,NRT,2279,AUH,2179,Y,0,332 NH,324,NRT,2279,BKK,3885,,0,777 76F NH,324,NRT,2279,BOM,2997,,0,737 NH,324,NRT,2279,CAN,3370,,0,763 NH,324,NRT,2279,CDG,1382,,0,777 NH,324,NRT,2279,CGK,3275,,0,777 763 NH,324,NRT,2279,CTS,2287,,0,320 737 NH,324,NRT,2279,CTU,3395,,0,763 NH,324,NRT,2279,DEL,3093,,0,763 NH,324,NRT,2279,DEN,3751,Y,0,788 NH,324,NRT,2279,DLC,3404,Y,0,763 738 NH,324,NRT,2279,DOH,11051,Y,0,77L NH,324,NRT,2279,DPS,3940,,0,333 NH,324,NRT,2279,DUS,345,,0,788 NH,324,NRT,2279,EWR,3494,Y,0,777 NH,324,NRT,2279,FUK,2305,,0,738 737 735 NH,324,NRT,2279,GUM,2246,Y,0,777 NH,324,NRT,2279,HGH,3386,,0,737 NH,324,NRT,2279,HIJ,2326,Y,0,CR7 CRJ NH,324,NRT,2279,HKG,3077,Y,0,763 NH,324,NRT,2279,HNL,3728,Y,0,744 763 NH,324,NRT,2279,IAD,3714,,0,777 77W NH,324,NRT,2279,IAH,3550,Y,0,777 NH,324,NRT,2279,ICN,3930,Y,0,321 333 738 772 74E NH,324,NRT,2279,IST,1701,Y,0,77W 332 NH,324,NRT,2279,ITM,2334,,0,767 738 NH,324,NRT,2279,JFK,3797,,0,77W NH,324,NRT,2279,KHH,2264,,0,321 NH,324,NRT,2279,KIJ,4381,Y,0,DH8 NH,324,NRT,2279,KIX,3992,Y,0,744 NH,324,NRT,2279,KMQ,2322,Y,0,CR7 NH,324,NRT,2279,LAX,3484,,0,77W NH,324,NRT,2279,LHR,507,,0,346 NH,324,NRT,2279,MFM,3121,Y,0,321 320 319 NH,324,NRT,2279,MNL,2397,,0,763 NH,324,NRT,2279,NGO,3942,,0,320 735 NH,324,NRT,2279,OKA,2384,,0,767 NH,324,NRT,2279,ORD,3830,,0,77W 777 NH,324,NRT,2279,PEK,3364,,0,763 NH,324,NRT,2279,PVG,3406,,0,788 763 777 NH,324,NRT,2279,RGN,3239,,0,763 NH,324,NRT,2279,SDJ,2347,,0,735 737 NH,324,NRT,2279,SEA,3577,,0,788 NH,324,NRT,2279,SFO,3469,,0,77W NH,324,NRT,2279,SGN,3205,Y,0,763 NH,324,NRT,2279,SHE,4144,,0,737 NH,324,NRT,2279,SIN,3316,,0,788 NH,324,NRT,2279,SJC,3748,,0,788 NH,324,NRT,2279,TAO,3390,,0,763 NH,324,NRT,2279,TPE,2276,,0,763 NH,324,NRT,2279,VIE,1613,Y,0,772 NH,324,NRT,2279,XMN,3383,,0,763 NH,324,NRT,2279,YVR,156,Y,0,763 NH,324,NRT,2279,YYC,178,Y,0,763 NH,324,NRT,2279,YYZ,193,Y,0,77W NH,324,NRT,2279,ZRH,1678,Y,0,343 NH,324,NTQ,3409,HND,2359,,0,737 738 NH,324,OBO,2286,HND,2359,Y,0,737 735 NH,324,OIM,2356,HND,2359,Y,0,737 NH,324,OIT,2310,HND,2359,,0,320 767 737 NH,324,OIT,2310,ITM,2334,Y,0,CR7 DH8 NH,324,OIT,2310,NGO,3942,Y,0,CR7 NH,324,OKA,2384,CTS,2287,Y,0,737 NH,324,OKA,2384,FSZ,6476,,0,737 NH,324,OKA,2384,FUK,2305,,0,767 738 735 NH,324,OKA,2384,HIJ,2326,,0,767 NH,324,OKA,2384,HND,2359,,0,772 773 738 NH,324,OKA,2384,ICN,3930,Y,0,321 NH,324,OKA,2384,ISG,2387,,0,735 738 NH,324,OKA,2384,ITM,2334,,0,767 773 NH,324,OKA,2384,KIJ,4381,,0,735 NH,324,OKA,2384,KIX,3992,,0,737 735 767 772 NH,324,OKA,2384,KMI,2308,Y,0,737 NH,324,OKA,2384,KMJ,2312,,0,738 NH,324,OKA,2384,KOJ,2307,,0,735 NH,324,OKA,2384,MMY,2390,,0,735 NH,324,OKA,2384,MYJ,2333,,0,737 NH,324,OKA,2384,NGO,3942,,0,767 737 NH,324,OKA,2384,NGS,2313,,0,737 NH,324,OKA,2384,NRT,2279,,0,767 NH,324,OKA,2384,PEK,3364,Y,0,738 NH,324,OKA,2384,SDJ,2347,,0,767 NH,324,OKA,2384,TAK,2337,Y,0,767 NH,324,OKA,2384,UKB,3943,Y,0,737 NH,324,OKJ,2327,CTS,2287,Y,0,737 NH,324,OKJ,2327,GUM,2246,Y,0,73G NH,324,OKJ,2327,HND,2359,,0,787 767 738 NH,324,OKJ,2327,TPE,2276,Y,0,M90 NH,324,ONJ,6000,HND,2359,,0,738 737 NH,324,ORD,3830,ATL,3682,Y,0,CR7 NH,324,ORD,3830,MSY,3861,Y,0,320 ERJ 319 NH,324,ORD,3830,NRT,2279,,0,77W 777 NH,324,PEK,3364,CTS,2287,Y,0,738 NH,324,PEK,3364,CTU,3395,Y,0,320 NH,324,PEK,3364,DLC,3404,Y,0,738 NH,324,PEK,3364,HND,2359,,0,788 NH,324,PEK,3364,KIX,3992,,0,737 NH,324,PEK,3364,NGO,3942,Y,0,738 332 NH,324,PEK,3364,NRT,2279,,0,763 NH,324,PEK,3364,OKA,2384,Y,0,738 NH,324,PEK,3364,PVG,3406,Y,0,738 NH,324,PUS,2372,OKA,2384,Y,0,320 NH,324,PVG,3406,CKG,3393,Y,0,738 NH,324,PVG,3406,CTU,3395,Y,0,319 NH,324,PVG,3406,KIX,3992,,0,763 NH,324,PVG,3406,NGO,3942,,0,737 NH,324,PVG,3406,NRT,2279,,0,777 788 763 NH,324,PVG,3406,PEK,3364,Y,0,738 NH,324,PVG,3406,SDJ,2347,Y,0,738 NH,324,PVG,3406,SZX,3374,Y,0,321 NH,324,RGN,3239,NRT,2279,,0,763 NH,324,SDJ,2347,CTS,2287,,0,735 DH8 NH,324,SDJ,2347,FUK,2305,,0,735 NH,324,SDJ,2347,GUM,2246,Y,0,73G NH,324,SDJ,2347,HIJ,2326,Y,0,CR7 NH,324,SDJ,2347,ICN,3930,Y,0,321 763 NH,324,SDJ,2347,ITM,2334,,0,767 320 NH,324,SDJ,2347,KMQ,2322,Y,0,CR7 CRJ NH,324,SDJ,2347,NGO,3942,,0,735 DH8 NH,324,SDJ,2347,NRT,2279,,0,737 735 NH,324,SDJ,2347,OKA,2384,,0,767 NH,324,SDJ,2347,PVG,3406,Y,0,738 NH,324,SDJ,2347,TPE,2276,Y,0,321 NH,324,SEA,3577,NRT,2279,,0,788 NH,324,SFO,3469,KIX,3992,Y,0,777 788 NH,324,SFO,3469,NRT,2279,,0,77W NH,324,SGN,3205,NRT,2279,Y,0,763 NH,324,SHA,3391,HND,2359,,0,777 NH,324,SHB,2291,CTS,2287,,0,DH8 NH,324,SHB,2291,HND,2359,,0,738 NH,324,SHE,4144,NRT,2279,,0,737 NH,324,SIN,3316,FUK,2305,Y,0,333 NH,324,SIN,3316,HND,2359,,0,333 788 NH,324,SIN,3316,KIX,3992,Y,0,333 NH,324,SIN,3316,NGO,3942,Y,0,333 NH,324,SIN,3316,NRT,2279,,0,788 NH,324,SJC,3748,NRT,2279,,0,788 NH,324,SYO,6001,HND,2359,,0,738 320 767 NH,324,SZX,3374,FOC,3385,Y,0,320 NH,324,SZX,3374,HGH,3386,Y,0,738 NH,324,SZX,3374,PVG,3406,Y,0,321 NH,324,TAK,2337,HND,2359,,0,787 320 767 NH,324,TAK,2337,ICN,3930,Y,0,321 320 NH,324,TAK,2337,OKA,2384,Y,0,767 NH,324,TAO,3390,KIX,3992,,0,763 NH,324,TAO,3390,NRT,2279,,0,763 NH,324,TKS,2336,HND,2359,,0,738 737 NH,324,TNA,4108,KIX,3992,Y,0,738 NH,324,TOY,2324,CTS,2287,Y,0,737 735 NH,324,TOY,2324,HND,2359,,0,767 787 NH,324,TOY,2324,ICN,3930,Y,0,321 NH,324,TPE,2276,AKJ,2299,Y,0,332 NH,324,TPE,2276,CTS,2287,Y,0,332 NH,324,TPE,2276,FUK,2305,Y,0,332 333 NH,324,TPE,2276,HKD,2288,Y,0,332 NH,324,TPE,2276,KIX,3992,,0,321 NH,324,TPE,2276,KMQ,2322,Y,0,321 332 NH,324,TPE,2276,NRT,2279,,0,763 NH,324,TPE,2276,OKJ,2327,Y,0,M90 NH,324,TPE,2276,SDJ,2347,Y,0,321 NH,324,TSA,2275,HND,2359,,0,788 763 NH,324,TSJ,2297,FUK,2305,Y,0,735 DH8 NH,324,TSJ,2297,NGS,2313,Y,0,DH2 NH,324,TSN,3368,DLC,3404,Y,0,738 NH,324,TTJ,2335,HND,2359,,0,738 737 320 NH,324,UBJ,2296,HND,2359,,0,767 NH,324,UKB,3943,CTS,2287,,0,737 NH,324,UKB,3943,HND,2359,,0,767 737 NH,324,UKB,3943,OKA,2384,Y,0,737 NH,324,VIE,1613,NRT,2279,Y,0,772 NH,324,WAW,679,LHR,507,Y,0,734 NH,324,WKJ,2294,CTS,2287,,0,DH8 NH,324,WKJ,2294,HND,2359,,0,737 NH,324,WUX,6390,KIX,3992,Y,0,738 NH,324,XMN,3383,NRT,2279,,0,763 NH,324,YGJ,2330,HND,2359,,0,737 767 738 320 NH,324,YGJ,2330,ICN,3930,Y,0,321 320 NH,324,YVR,156,EWR,3494,,0,319 NH,324,YVR,156,HND,2359,,0,763 NH,324,YVR,156,NRT,2279,Y,0,763 NH,324,YYC,178,NRT,2279,Y,0,763 NH,324,YYZ,193,NRT,2279,Y,0,77W NH,324,ZRH,1678,NRT,2279,Y,0,343 NHG,3574,CCM,2541,FLN,2555,,0,L4T NHG,3574,CFC,8244,CWB,2545,,0,L4T NHG,3574,CFC,8244,JCB,7384,,0,L4T NHG,3574,CWB,2545,CFC,8244,,0,L4T NHG,3574,CWB,2545,FLN,2555,,0,L4T NHG,3574,CWB,2545,GPB,7383,,0,L4T NHG,3574,CWB,2545,XAP,2539,,0,L4T NHG,3574,ERM,6477,JCB,7384,,0,L4T NHG,3574,ERM,6477,PFB,2602,,0,L4T NHG,3574,FLN,2555,CCM,2541,,0,L4T NHG,3574,FLN,2555,CWB,2545,,0,L4T NHG,3574,FLN,2555,JCB,7384,,0,L4T NHG,3574,GEL,2596,POA,2599,,0,L4T NHG,3574,GEL,2596,RIA,6040,,0,L4T NHG,3574,GPB,7383,CWB,2545,,0,L4T NHG,3574,JCB,7384,CFC,8244,,0,L4T NHG,3574,JCB,7384,ERM,6477,,0,L4T NHG,3574,JCB,7384,FLN,2555,,0,L4T NHG,3574,PET,2603,POA,2599,,0,L4T NHG,3574,PET,2603,RIG,2611,,0,L4T NHG,3574,PFB,2602,ERM,6477,,0,L4T NHG,3574,PFB,2602,POA,2599,,0,L4T NHG,3574,POA,2599,ERM,6477,,0,L4T NHG,3574,POA,2599,PFB,2602,,0,L4T NHG,3574,POA,2599,RIA,6040,,0,L4T NHG,3574,POA,2599,SRA,6069,,0,L4T NHG,3574,RIA,6040,GEL,2596,,0,L4T NHG,3574,RIA,6040,POA,2599,,0,L4T NHG,3574,RIA,6040,URG,2632,,0,L4T NHG,3574,RIG,2611,PET,2603,,0,L4T NHG,3574,RIG,2611,POA,2599,,0,L4T NHG,3574,SRA,6069,GEL,2596,,0,L4T NHG,3574,URG,2632,RIA,6040,,0,L4T NHG,3574,XAP,2539,CWB,2545,,0,L4T NK,4687,ACY,3524,BOS,3448,,0,319 NK,4687,ACY,3524,DTW,3645,,0,319 NK,4687,ACY,3524,FLL,3533,,0,320 319 NK,4687,ACY,3524,MCO,3878,,0,320 NK,4687,ACY,3524,MYR,3515,,0,320 NK,4687,ACY,3524,ORD,3830,,0,319 NK,4687,ACY,3524,RSW,3793,,0,319 NK,4687,ACY,3524,TPA,3646,,0,319 NK,4687,ATL,3682,DFW,3670,,0,320 NK,4687,ATL,3682,FLL,3533,,0,320 319 NK,4687,AUA,2895,FLL,3533,,0,319 NK,4687,AXM,2705,FLL,3533,,0,319 NK,4687,BOG,2709,FLL,3533,,0,319 NK,4687,BOS,3448,ACY,3524,,0,319 NK,4687,BOS,3448,DFW,3670,,0,319 NK,4687,BOS,3448,FLL,3533,,0,319 NK,4687,BOS,3448,MYR,3515,,0,320 319 NK,4687,BOS,3448,ORD,3830,,0,319 NK,4687,BQN,2885,FLL,3533,,0,320 319 NK,4687,BWI,3849,DFW,3670,,0,320 NK,4687,BWI,3849,FLL,3533,,0,320 NK,4687,BWI,3849,LAS,3877,,0,320 NK,4687,BWI,3849,MSP,3858,,0,319 NK,4687,BWI,3849,MYR,3515,,0,320 NK,4687,CRW,4285,MYR,3515,,0,319 NK,4687,CTG,2714,FLL,3533,,0,320 319 NK,4687,CUN,1852,DFW,3670,,0,320 NK,4687,CUN,1852,DTW,3645,,0,319 NK,4687,CUN,1852,FLL,3533,,0,320 NK,4687,DEN,3751,DFW,3670,,0,320 319 NK,4687,DEN,3751,DTW,3645,,0,320 NK,4687,DEN,3751,FLL,3533,,0,319 NK,4687,DEN,3751,IAH,3550,,0,320 NK,4687,DEN,3751,LAS,3877,,0,319 NK,4687,DEN,3751,MSP,3858,,0,319 NK,4687,DEN,3751,ORD,3830,,0,320 NK,4687,DEN,3751,PHX,3462,,0,320 319 NK,4687,DFW,3670,ATL,3682,,0,320 NK,4687,DFW,3670,BOS,3448,,0,319 NK,4687,DFW,3670,BWI,3849,,0,320 NK,4687,DFW,3670,CUN,1852,,0,320 NK,4687,DFW,3670,DEN,3751,,0,320 319 NK,4687,DFW,3670,DTW,3645,,0,319 320 NK,4687,DFW,3670,FLL,3533,,0,320 319 NK,4687,DFW,3670,LAS,3877,,0,319 320 NK,4687,DFW,3670,LAX,3484,,0,319 NK,4687,DFW,3670,LGA,3697,,0,319 NK,4687,DFW,3670,MCO,3878,,0,319 320 NK,4687,DFW,3670,MSP,3858,,0,319 NK,4687,DFW,3670,MSY,3861,,0,319 NK,4687,DFW,3670,MYR,3515,,0,319 NK,4687,DFW,3670,OAK,3453,,0,319 NK,4687,DFW,3670,ORD,3830,,0,320 NK,4687,DFW,3670,PDX,3720,,0,320 NK,4687,DFW,3670,PHL,3752,,0,320 NK,4687,DFW,3670,PHX,3462,,0,319 320 NK,4687,DFW,3670,SAN,3731,,0,319 NK,4687,DFW,3670,SJD,1840,,0,320 319 NK,4687,DFW,3670,TPA,3646,,0,320 NK,4687,DTW,3645,ACY,3524,,0,319 NK,4687,DTW,3645,CUN,1852,,0,319 NK,4687,DTW,3645,DEN,3751,,0,320 NK,4687,DTW,3645,DFW,3670,,0,319 NK,4687,DTW,3645,FLL,3533,,0,319 320 321 NK,4687,DTW,3645,IAH,3550,,0,320 NK,4687,DTW,3645,LAS,3877,,0,319 320 NK,4687,DTW,3645,LAX,3484,,0,320 NK,4687,DTW,3645,LGA,3697,,0,320 NK,4687,DTW,3645,MCO,3878,,0,321 320 319 NK,4687,DTW,3645,MYR,3515,,0,320 NK,4687,DTW,3645,RSW,3793,,0,319 NK,4687,DTW,3645,TPA,3646,,0,319 NK,4687,FLL,3533,ACY,3524,,0,320 319 NK,4687,FLL,3533,ATL,3682,,0,320 319 NK,4687,FLL,3533,AUA,2895,,0,319 NK,4687,FLL,3533,AXM,2705,,0,319 NK,4687,FLL,3533,BOG,2709,,0,319 NK,4687,FLL,3533,BOS,3448,,0,319 NK,4687,FLL,3533,BQN,2885,,0,319 320 NK,4687,FLL,3533,BWI,3849,,0,320 NK,4687,FLL,3533,CTG,2714,,0,320 319 NK,4687,FLL,3533,CUN,1852,,0,320 NK,4687,FLL,3533,DEN,3751,,0,319 NK,4687,FLL,3533,DFW,3670,,0,319 320 NK,4687,FLL,3533,DTW,3645,,0,320 319 321 NK,4687,FLL,3533,GUA,1767,,0,319 NK,4687,FLL,3533,IAG,3630,,0,320 NK,4687,FLL,3533,KIN,1779,,0,319 NK,4687,FLL,3533,LAS,3877,,0,320 NK,4687,FLL,3533,LAX,3484,,0,319 NK,4687,FLL,3533,LBE,5747,,0,319 NK,4687,FLL,3533,LGA,3697,,0,320 321 NK,4687,FLL,3533,LIM,2789,,0,319 NK,4687,FLL,3533,MBJ,1780,,0,319 NK,4687,FLL,3533,MCO,3878,,0,320 NK,4687,FLL,3533,MDE,2745,,0,320 NK,4687,FLL,3533,MGA,1863,,0,320 NK,4687,FLL,3533,MYR,3515,,0,320 319 NK,4687,FLL,3533,ORD,3830,,0,320 319 NK,4687,FLL,3533,PAP,1897,,0,319 NK,4687,FLL,3533,PBG,3771,,0,320 NK,4687,FLL,3533,PTY,1871,,0,320 319 NK,4687,FLL,3533,PUJ,1760,,0,319 NK,4687,FLL,3533,SAL,1892,,0,320 319 NK,4687,FLL,3533,SAP,1772,,0,320 319 NK,4687,FLL,3533,SDQ,1762,,0,319 NK,4687,FLL,3533,SJO,1885,,0,320 NK,4687,FLL,3533,SJU,2890,,0,321 320 NK,4687,FLL,3533,STI,1764,,0,319 NK,4687,FLL,3533,STT,2883,,0,319 NK,4687,FLL,3533,SXM,2899,,0,320 NK,4687,FLL,3533,TLC,1850,,0,319 NK,4687,FLL,3533,TPA,3646,,0,319 321 NK,4687,FLL,3533,ZSA,1956,,0,319 NK,4687,GUA,1767,FLL,3533,,0,319 NK,4687,IAG,3630,FLL,3533,,0,320 NK,4687,IAG,3630,MYR,3515,,0,320 NK,4687,IAH,3550,DEN,3751,,0,320 NK,4687,IAH,3550,DTW,3645,,0,320 NK,4687,IAH,3550,LAS,3877,,0,319 NK,4687,IAH,3550,LAX,3484,,0,320 NK,4687,IAH,3550,MCO,3878,,0,320 NK,4687,IAH,3550,MSP,3858,,0,319 NK,4687,IAH,3550,ORD,3830,,0,319 NK,4687,KIN,1779,FLL,3533,,0,319 NK,4687,LAS,3877,BWI,3849,,0,320 NK,4687,LAS,3877,DEN,3751,,0,319 NK,4687,LAS,3877,DFW,3670,,0,320 319 NK,4687,LAS,3877,DTW,3645,,0,320 319 NK,4687,LAS,3877,FLL,3533,,0,320 NK,4687,LAS,3877,IAH,3550,,0,319 NK,4687,LAS,3877,LAX,3484,,0,319 NK,4687,LAS,3877,MSP,3858,,0,320 NK,4687,LAS,3877,OAK,3453,,0,319 320 NK,4687,LAS,3877,ORD,3830,,0,319 320 NK,4687,LAS,3877,PDX,3720,,0,319 NK,4687,LAS,3877,PHL,3752,,0,320 NK,4687,LAS,3877,SAN,3731,,0,320 319 NK,4687,LAX,3484,DFW,3670,,0,319 NK,4687,LAX,3484,DTW,3645,,0,320 NK,4687,LAX,3484,FLL,3533,,0,319 NK,4687,LAX,3484,IAH,3550,,0,320 NK,4687,LAX,3484,LAS,3877,,0,319 NK,4687,LAX,3484,MSP,3858,,0,319 NK,4687,LAX,3484,ORD,3830,,0,319 NK,4687,LBE,5747,FLL,3533,,0,319 NK,4687,LBE,5747,MCO,3878,,0,320 NK,4687,LBE,5747,MYR,3515,,0,320 NK,4687,LGA,3697,DFW,3670,,0,319 NK,4687,LGA,3697,DTW,3645,,0,320 NK,4687,LGA,3697,FLL,3533,,0,321 320 NK,4687,LGA,3697,MYR,3515,,0,320 NK,4687,LGA,3697,ORD,3830,,0,320 NK,4687,LIM,2789,FLL,3533,,0,319 NK,4687,MBJ,1780,FLL,3533,,0,319 NK,4687,MCO,3878,ACY,3524,,0,320 NK,4687,MCO,3878,DFW,3670,,0,320 319 NK,4687,MCO,3878,DTW,3645,,0,321 320 319 NK,4687,MCO,3878,FLL,3533,,0,319 320 NK,4687,MCO,3878,IAH,3550,,0,320 NK,4687,MCO,3878,LBE,5747,,0,320 NK,4687,MCO,3878,ORD,3830,,0,320 NK,4687,MCO,3878,SJU,2890,,0,321 320 NK,4687,MDE,2745,FLL,3533,,0,320 NK,4687,MGA,1863,FLL,3533,,0,320 NK,4687,MSP,3858,BWI,3849,,0,319 NK,4687,MSP,3858,DEN,3751,,0,319 NK,4687,MSP,3858,DFW,3670,,0,319 NK,4687,MSP,3858,IAH,3550,,0,319 NK,4687,MSP,3858,LAS,3877,,0,320 NK,4687,MSP,3858,LAX,3484,,0,319 NK,4687,MSP,3858,ORD,3830,,0,320 319 NK,4687,MSY,3861,DFW,3670,,0,319 NK,4687,MYR,3515,ACY,3524,,0,320 NK,4687,MYR,3515,BOS,3448,,0,320 319 NK,4687,MYR,3515,BWI,3849,,0,320 NK,4687,MYR,3515,CRW,4285,,0,319 NK,4687,MYR,3515,DFW,3670,,0,319 NK,4687,MYR,3515,DTW,3645,,0,320 NK,4687,MYR,3515,FLL,3533,,0,320 319 NK,4687,MYR,3515,IAG,3630,,0,320 NK,4687,MYR,3515,LBE,5747,,0,320 NK,4687,MYR,3515,LGA,3697,,0,320 NK,4687,MYR,3515,ORD,3830,,0,320 NK,4687,MYR,3515,PBG,3771,,0,320 NK,4687,MYR,3515,PHL,3752,,0,320 NK,4687,OAK,3453,DFW,3670,,0,319 NK,4687,OAK,3453,LAS,3877,,0,320 319 NK,4687,OAK,3453,ORD,3830,,0,319 NK,4687,ORD,3830,ACY,3524,,0,319 NK,4687,ORD,3830,BOS,3448,,0,319 NK,4687,ORD,3830,DEN,3751,,0,320 NK,4687,ORD,3830,DFW,3670,,0,320 NK,4687,ORD,3830,FLL,3533,,0,319 320 NK,4687,ORD,3830,IAH,3550,,0,319 NK,4687,ORD,3830,LAS,3877,,0,320 319 NK,4687,ORD,3830,LAX,3484,,0,319 NK,4687,ORD,3830,LGA,3697,,0,320 NK,4687,ORD,3830,MCO,3878,,0,320 NK,4687,ORD,3830,MSP,3858,,0,319 320 NK,4687,ORD,3830,MYR,3515,,0,320 NK,4687,ORD,3830,OAK,3453,,0,319 NK,4687,ORD,3830,RSW,3793,,0,319 NK,4687,ORD,3830,TPA,3646,,0,319 NK,4687,PAP,1897,FLL,3533,,0,319 NK,4687,PBG,3771,FLL,3533,,0,320 NK,4687,PBG,3771,MYR,3515,,0,320 NK,4687,PDX,3720,DFW,3670,,0,320 NK,4687,PDX,3720,LAS,3877,,0,319 NK,4687,PDX,3720,SAN,3731,,0,319 NK,4687,PHL,3752,DFW,3670,,0,320 NK,4687,PHL,3752,LAS,3877,,0,320 NK,4687,PHL,3752,MYR,3515,,0,320 NK,4687,PHX,3462,DEN,3751,,0,320 319 NK,4687,PHX,3462,DFW,3670,,0,320 319 NK,4687,PTY,1871,FLL,3533,,0,320 319 NK,4687,PUJ,1760,FLL,3533,,0,319 NK,4687,RSW,3793,ACY,3524,,0,319 NK,4687,RSW,3793,DTW,3645,,0,319 NK,4687,RSW,3793,ORD,3830,,0,319 NK,4687,SAL,1892,FLL,3533,,0,320 319 NK,4687,SAN,3731,DFW,3670,,0,319 NK,4687,SAN,3731,LAS,3877,,0,319 320 NK,4687,SAN,3731,PDX,3720,,0,319 NK,4687,SAN,3731,SJD,1840,,0,319 NK,4687,SAP,1772,FLL,3533,,0,320 319 NK,4687,SDQ,1762,FLL,3533,,0,319 NK,4687,SJD,1840,DFW,3670,,0,320 319 NK,4687,SJD,1840,SAN,3731,,0,319 NK,4687,SJO,1885,FLL,3533,,0,320 NK,4687,SJU,2890,FLL,3533,,0,321 320 NK,4687,SJU,2890,MCO,3878,,0,321 320 NK,4687,STI,1764,FLL,3533,,0,319 NK,4687,STT,2883,FLL,3533,,0,319 NK,4687,SXM,2899,FLL,3533,,0,320 NK,4687,TLC,1850,FLL,3533,,0,319 NK,4687,TPA,3646,ACY,3524,,0,319 NK,4687,TPA,3646,DFW,3670,,0,320 NK,4687,TPA,3646,DTW,3645,,0,319 NK,4687,TPA,3646,FLL,3533,,0,319 NK,4687,TPA,3646,ORD,3830,,0,319 NK,4687,ZSA,1956,FLL,3533,,0,319 NL,4311,AAN,5937,PEW,2219,,0,734 NL,4311,AUH,2179,ISB,2223,,0,734 320 NL,4311,AUH,2179,LHE,2207,,0,734 NL,4311,AUH,2179,PEW,2219,,0,320 734 NL,4311,DMM,2064,ISB,2223,,0,734 NL,4311,DMM,2064,LHE,2207,,0,320 NL,4311,DXB,2188,ISB,2223,,0,734 NL,4311,DXB,2188,KHI,2206,,0,320 NL,4311,DXB,2188,LHE,2207,,0,320 NL,4311,DXB,2188,MUX,2214,,0,734 NL,4311,DXB,2188,PEW,2219,,0,320 NL,4311,ISB,2223,AUH,2179,,0,734 320 NL,4311,ISB,2223,DXB,2188,,0,734 NL,4311,ISB,2223,JED,2072,,0,333 NL,4311,ISB,2223,KHI,2206,,0,320 734 NL,4311,ISB,2223,RUH,2082,,0,333 NL,4311,ISB,2223,SKZ,2227,,0,734 NL,4311,ISB,2223,UET,2221,,0,734 NL,4311,JED,2072,ISB,2223,,0,333 NL,4311,JED,2072,LHE,2207,,0,333 320 NL,4311,JED,2072,PEW,2219,,0,333 NL,4311,KHI,2206,DXB,2188,,0,320 NL,4311,KHI,2206,ISB,2223,,0,320 734 NL,4311,KHI,2206,LHE,2207,,0,734 320 NL,4311,KHI,2206,MUX,2214,,0,320 734 NL,4311,KHI,2206,PEW,2219,,0,734 320 NL,4311,KHI,2206,UET,2221,,0,734 NL,4311,KWI,2176,LHE,2207,,0,320 NL,4311,LHE,2207,AUH,2179,,0,734 NL,4311,LHE,2207,DMM,2064,,0,320 NL,4311,LHE,2207,DXB,2188,,0,320 NL,4311,LHE,2207,JED,2072,,0,333 320 NL,4311,LHE,2207,KHI,2206,,0,734 320 NL,4311,LHE,2207,KWI,2176,,0,320 NL,4311,LHE,2207,MCT,2194,,0,320 734 333 NL,4311,LHE,2207,MHD,4331,,0,320 NL,4311,LHE,2207,RUH,2082,,0,333 NL,4311,LHE,2207,UET,2221,,0,734 NL,4311,MCT,2194,LHE,2207,,0,320 734 333 NL,4311,MCT,2194,PEW,2219,,0,320 NL,4311,MCT,2194,SKT,6776,,0,320 NL,4311,MED,2074,MUX,2214,,0,320 NL,4311,MHD,4331,LHE,2207,,0,320 NL,4311,MUX,2214,DXB,2188,,0,734 NL,4311,MUX,2214,KHI,2206,,0,320 734 NL,4311,MUX,2214,MED,2074,,0,320 NL,4311,PEW,2219,AAN,5937,,0,734 NL,4311,PEW,2219,AUH,2179,,0,734 320 NL,4311,PEW,2219,DXB,2188,,0,320 NL,4311,PEW,2219,JED,2072,,0,333 NL,4311,PEW,2219,KHI,2206,,0,320 734 NL,4311,PEW,2219,MCT,2194,,0,320 NL,4311,PEW,2219,RUH,2082,,0,320 333 NL,4311,PEW,2219,SHJ,2191,,0,734 NL,4311,RUH,2082,ISB,2223,,0,333 NL,4311,RUH,2082,LHE,2207,,0,333 NL,4311,RUH,2082,PEW,2219,,0,320 333 NL,4311,SHJ,2191,PEW,2219,,0,734 NL,4311,SHJ,2191,SKT,6776,,0,734 NL,4311,SKT,6776,SHJ,2191,,0,734 NL,4311,SKZ,2227,ISB,2223,,0,734 NL,4311,UET,2221,ISB,2223,,0,734 NL,4311,UET,2221,KHI,2206,,0,734 NL,4311,UET,2221,LHE,2207,,0,734 NP,17083,CAI,1128,ELQ,2067,,0,320 NP,17083,CAI,1128,JED,2072,,0,320 NP,17083,CAI,1128,TIF,2090,,0,320 NP,17083,CAI,1128,TUU,2089,,0,320 NP,17083,CAI,1128,YNB,2096,,0,320 NP,17083,ELQ,2067,CAI,1128,,0,320 NP,17083,HBE,3410,ELQ,2067,,0,320 NP,17083,HBE,3410,JED,2072,,0,320 NP,17083,HBE,3410,KWI,2176,,0,320 NP,17083,HBE,3410,YNB,2096,,0,320 NP,17083,JED,2072,CAI,1128,,0,320 NP,17083,JED,2072,HBE,3410,,0,320 NP,17083,KWI,2176,HBE,3410,,0,320 NP,17083,TIF,2090,CAI,1128,,0,320 NP,17083,TUU,2089,CAI,1128,,0,320 NP,17083,YNB,2096,CAI,1128,,0,320 NS,16136,CAN,3370,SJW,6347,,0,73G NS,16136,CGO,3375,TSN,3368,,0,738 NS,16136,CGO,3375,WNZ,6392,,0,738 NS,16136,CKG,3393,NNG,3373,,0,E90 NS,16136,CKG,3393,SJW,6347,,0,E90 NS,16136,CKG,3393,WNZ,6392,,0,738 NS,16136,CSX,3371,KWE,3394,,0,738 NS,16136,CSX,3371,WNZ,6392,,0,738 NS,16136,CTU,3395,SJW,6347,,0,73G NS,16136,FOC,3385,NKG,3388,,0,E90 NS,16136,HAK,4120,NNG,3373,,0,738 NS,16136,HAK,4120,WNZ,6392,,0,738 NS,16136,HGH,3386,SJW,6347,,0,E90 73G NS,16136,HGH,3386,SYX,4030,,0,E90 NS,16136,JJN,6386,NKG,3388,,0,E90 NS,16136,KMG,3382,SJW,6347,,0,73G NS,16136,KWE,3394,CSX,3371,,0,738 NS,16136,KWL,3372,XIY,3379,,0,E90 NS,16136,MIG,6400,XIY,3379,,0,E90 NS,16136,NGB,3387,SJW,6347,,0,E90 NS,16136,NGB,3387,ZUH,6355,,0,E90 NS,16136,NKG,3388,FOC,3385,,0,E90 NS,16136,NKG,3388,JJN,6386,,0,E90 NS,16136,NKG,3388,SJW,6347,,0,73G E90 NS,16136,NKG,3388,XMN,3383,,0,73G NS,16136,NNG,3373,CKG,3393,,0,E90 NS,16136,NNG,3373,HAK,4120,,0,738 NS,16136,SHA,3391,SJW,6347,,0,E90 NS,16136,SHP,6429,SJW,6347,,0,E90 NS,16136,SHP,6429,TAO,3390,,0,E90 NS,16136,SJW,6347,CAN,3370,,0,73G NS,16136,SJW,6347,CKG,3393,,0,E90 NS,16136,SJW,6347,CTU,3395,,0,73G NS,16136,SJW,6347,HGH,3386,,0,E90 73G NS,16136,SJW,6347,KMG,3382,,0,73G NS,16136,SJW,6347,NGB,3387,,0,E90 NS,16136,SJW,6347,NKG,3388,,0,73G E90 NS,16136,SJW,6347,SHA,3391,,0,E90 NS,16136,SJW,6347,SHP,6429,,0,E90 NS,16136,SJW,6347,SZX,3374,,0,73G NS,16136,SJW,6347,WNZ,6392,,0,738 NS,16136,SJW,6347,XIY,3379,,0,E90 NS,16136,SJW,6347,ZQZ,10940,,0,E90 NS,16136,SYX,4030,HGH,3386,,0,E90 NS,16136,SZX,3374,SJW,6347,,0,73G NS,16136,TAO,3390,SHP,6429,,0,E90 NS,16136,TSN,3368,CGO,3375,,0,738 NS,16136,WNZ,6392,CGO,3375,,0,738 NS,16136,WNZ,6392,CKG,3393,,0,738 NS,16136,WNZ,6392,CSX,3371,,0,738 NS,16136,WNZ,6392,HAK,4120,,0,738 NS,16136,WNZ,6392,SJW,6347,,0,738 NS,16136,WNZ,6392,WUH,3376,,0,73G NS,16136,WNZ,6392,XIY,3379,,0,73G NS,16136,WUH,3376,WNZ,6392,,0,73G NS,16136,XIY,3379,KWL,3372,,0,E90 NS,16136,XIY,3379,MIG,6400,,0,E90 NS,16136,XIY,3379,SJW,6347,,0,E90 NS,16136,XIY,3379,WNZ,6392,,0,73G NS,16136,XMN,3383,NKG,3388,,0,73G NS,16136,ZQZ,10940,SJW,6347,,0,E90 NS,16136,ZUH,6355,NGB,3387,,0,E90 NT,1539,ACE,1055,LPA,1054,,0,CR9 AT7 NT,1539,ACE,1055,TFN,1057,,0,AT7 NT,1539,AGA,1064,LPA,1054,Y,0,AT7 NT,1539,BJL,1050,LPA,1054,Y,0,CR9 NT,1539,CMN,1074,LPA,1054,Y,0,AT7 NT,1539,DKR,1084,LPA,1054,,0,CR9 NT,1539,DKR,1084,TFN,1057,,0,CR9 NT,1539,EUN,5672,LPA,1054,Y,0,AT7 NT,1539,FNC,4091,LPA,1054,,0,DH4 NT,1539,FNC,4091,PDL,1633,,0,DH4 NT,1539,FUE,1051,LPA,1054,,0,AT7 NT,1539,FUE,1051,TFN,1057,,0,AT7 NT,1539,GMZ,5659,TFN,1057,Y,0,AT7 NT,1539,LIS,1638,LPA,1054,Y,0,CR9 NT,1539,LPA,1054,ACE,1055,,0,CR9 AT7 NT,1539,LPA,1054,AGA,1064,Y,0,AT7 NT,1539,LPA,1054,BJL,1050,Y,0,CR9 NT,1539,LPA,1054,CMN,1074,Y,0,AT7 NT,1539,LPA,1054,DKR,1084,,0,CR9 NT,1539,LPA,1054,EUN,5672,Y,0,AT7 NT,1539,LPA,1054,FNC,4091,,0,DH4 NT,1539,LPA,1054,FUE,1051,,0,AT7 NT,1539,LPA,1054,LIS,1638,Y,0,CR9 NT,1539,LPA,1054,RAI,5674,Y,0,CR9 NT,1539,LPA,1054,RAK,1075,Y,0,CR9 NT,1539,LPA,1054,SPC,1053,,0,AT7 NT,1539,LPA,1054,TFN,1057,,0,AT7 NT,1539,LPA,1054,TFS,1056,,0,AT7 NT,1539,LPA,1054,VDE,1052,,0,AT7 NT,1539,PDL,1633,FNC,4091,,0,DH4 NT,1539,RAI,5674,LPA,1054,Y,0,CR9 NT,1539,RAK,1075,LPA,1054,Y,0,CR9 NT,1539,SPC,1053,LPA,1054,,0,AT7 NT,1539,SPC,1053,TFN,1057,,0,AT7 NT,1539,TFN,1057,ACE,1055,,0,AT7 NT,1539,TFN,1057,DKR,1084,,0,CR9 NT,1539,TFN,1057,FUE,1051,,0,AT7 NT,1539,TFN,1057,GMZ,5659,Y,0,AT7 NT,1539,TFN,1057,LPA,1054,,0,AT7 CR9 NT,1539,TFN,1057,SPC,1053,,0,AT7 NT,1539,TFN,1057,VDE,1052,,0,AT7 NT,1539,TFS,1056,LPA,1054,,0,AT7 NT,1539,TFS,1056,VDE,1052,,0,AT7 NT,1539,VDE,1052,LPA,1054,,0,AT7 NT,1539,VDE,1052,TFN,1057,,0,AT7 NT,1539,VDE,1052,TFS,1056,,0,AT7 NU,2990,FUK,2305,OKA,2384,,0,734 NU,2990,HND,2359,ISG,2387,,0,734 NU,2990,HND,2359,MMY,2390,,0,734 NU,2990,ISG,2387,HND,2359,,0,734 NU,2990,ISG,2387,KIX,3992,,0,734 NU,2990,ISG,2387,OKA,2384,,0,734 NU,2990,KIX,3992,ISG,2387,,0,734 NU,2990,KIX,3992,OKA,2384,,0,734 NU,2990,KMQ,2322,OKA,2384,,0,734 NU,2990,MMY,2390,HND,2359,,0,734 NU,2990,MMY,2390,OKA,2384,,0,734 NU,2990,NGO,3942,OKA,2384,,0,734 NU,2990,OKA,2384,FUK,2305,,0,734 NU,2990,OKA,2384,ISG,2387,,0,734 NU,2990,OKA,2384,KIX,3992,,0,734 NU,2990,OKA,2384,KMQ,2322,,0,734 NU,2990,OKA,2384,MMY,2390,,0,734 NU,2990,OKA,2384,NGO,3942,,0,734 NU,2990,OKA,2384,OKJ,2327,,0,734 NU,2990,OKA,2384,UEO,2388,,0,734 NU,2990,OKJ,2327,OKA,2384,,0,734 NU,2990,UEO,2388,OKA,2384,,0,734 NX,316,BKK,3885,MFM,3121,,0,319 321 320 NX,316,CGO,3375,MFM,3121,,0,320 319 NX,316,CKG,3393,MFM,3121,,0,319 320 NX,316,CTU,3395,MFM,3121,,0,321 320 NX,316,DAD,3196,MFM,3121,,0,319 NX,316,FUK,2305,MFM,3121,,0,321 NX,316,HAN,3199,MFM,3121,,0,319 NX,316,HFE,3389,MFM,3121,,0,320 321 NX,316,HGH,3386,MFM,3121,,0,321 320 319 NX,316,ICN,3930,MFM,3121,,0,321 319 320 NX,316,KHH,2264,MFM,3121,,0,320 319 NX,316,KIX,3992,MFM,3121,,0,319 NX,316,MFM,3121,BKK,3885,,0,321 320 NX,316,MFM,3121,CGO,3375,,0,320 319 NX,316,MFM,3121,CKG,3393,,0,319 320 NX,316,MFM,3121,CTU,3395,,0,321 320 NX,316,MFM,3121,DAD,3196,,0,319 NX,316,MFM,3121,FUK,2305,,0,321 NX,316,MFM,3121,HAN,3199,,0,319 NX,316,MFM,3121,HFE,3389,,0,320 321 NX,316,MFM,3121,HGH,3386,,0,321 320 319 NX,316,MFM,3121,ICN,3930,,0,321 319 320 NX,316,MFM,3121,KHH,2264,,0,319 320 NX,316,MFM,3121,KIX,3992,,0,319 NX,316,MFM,3121,MNL,2397,Y,0,320 NX,316,MFM,3121,MWX,4189,,0,320 NX,316,MFM,3121,NGB,3387,,0,320 319 NX,316,MFM,3121,NKG,3388,,0,321 NX,316,MFM,3121,NNG,3373,,0,319 320 321 NX,316,MFM,3121,NRT,2279,,0,321 320 319 NX,316,MFM,3121,OKJ,2327,,0,321 NX,316,MFM,3121,PEK,3364,,0,320 321 319 NX,316,MFM,3121,PUS,2372,,0,320 NX,316,MFM,3121,PVG,3406,,0,321 NX,316,MFM,3121,SHA,3391,,0,321 320 319 NX,316,MFM,3121,SHE,4144,,0,319 NX,316,MFM,3121,TPE,2276,,0,319 320 321 NX,316,MFM,3121,TYN,3369,,0,320 319 NX,316,MFM,3121,WUH,3376,Y,0,320 NX,316,MFM,3121,XMN,3383,,0,319 321 NX,316,MNL,2397,MFM,3121,Y,0,320 NX,316,MWX,4189,MFM,3121,,0,320 NX,316,NGB,3387,MFM,3121,,0,320 319 NX,316,NKG,3388,MFM,3121,,0,321 NX,316,NNG,3373,MFM,3121,,0,319 320 321 NX,316,NRT,2279,MFM,3121,,0,321 320 319 NX,316,OKJ,2327,MFM,3121,,0,321 NX,316,PEK,3364,MFM,3121,,0,321 320 319 NX,316,PUS,2372,MFM,3121,,0,320 NX,316,PVG,3406,MFM,3121,,0,321 NX,316,SHA,3391,MFM,3121,,0,321 320 319 NX,316,SHE,4144,MFM,3121,,0,319 NX,316,TPE,2276,MFM,3121,,0,321 319 320 NX,316,TYN,3369,MFM,3121,,0,320 319 NX,316,WUH,3376,MFM,3121,Y,0,320 NX,316,XMN,3383,MFM,3121,,0,319 321 NY,896,AEY,11,RKV,18,,0,F50 DH8 NY,896,EGS,12,RKV,18,,0,F50 DH8 NY,896,GOH,8,RKV,18,,0,DH8 NY,896,IFJ,15,RKV,18,,0,DH8 NY,896,KUS,4248,RKV,18,,0,DH8 NY,896,RKV,18,AEY,11,,0,F50 DH8 NY,896,RKV,18,EGS,12,,0,F50 DH8 NY,896,RKV,18,GOH,8,,0,DH8 NY,896,RKV,18,IFJ,15,,0,DH8 NY,896,RKV,18,KUS,4248,,0,DH8 NZ,345,ADL,3341,AKL,2006,,0,320 NZ,345,AIT,1958,RAR,1959,Y,0,SF3 NZ,345,AKL,2006,ADL,3341,,0,320 NZ,345,AKL,2006,APW,1969,,0,320 763 NZ,345,AKL,2006,BHE,2037,Y,0,DH3 BEH NZ,345,AKL,2006,BNE,3320,,0,772 773 320 763 NZ,345,AKL,2006,CHC,2009,,0,320 733 NZ,345,AKL,2006,CNS,3322,,0,320 NZ,345,AKL,2006,DUD,2011,,0,320 NZ,345,AKL,2006,GIS,2012,Y,0,DH3 BEH NZ,345,AKL,2006,HKG,3077,,0,772 NZ,345,AKL,2006,HLZ,2015,Y,0,BEH NZ,345,AKL,2006,KAT,2018,Y,0,BEH NZ,345,AKL,2006,KKE,2017,Y,0,BEH DH3 NZ,345,AKL,2006,LAX,3484,,0,772 773 NZ,345,AKL,2006,MEL,3339,,0,773 320 NZ,345,AKL,2006,NAN,1960,,0,320 763 772 773 NZ,345,AKL,2006,NOU,2005,Y,0,320 NZ,345,AKL,2006,NPE,4095,Y,0,AT7 DH3 NZ,345,AKL,2006,NPL,2023,Y,0,AT7 DH3 NZ,345,AKL,2006,NRT,2279,,0,763 772 NZ,345,AKL,2006,NSN,2024,Y,0,AT7 DH3 NZ,345,AKL,2006,OOL,3321,,0,320 NZ,345,AKL,2006,PER,3351,,0,772 NZ,345,AKL,2006,PMR,2028,Y,0,AT7 DH3 NZ,345,AKL,2006,PPQ,2029,Y,0,DH3 NZ,345,AKL,2006,PPT,4075,,0,763 NZ,345,AKL,2006,PVG,3406,,0,763 772 NZ,345,AKL,2006,RAR,1959,,0,320 772 763 NZ,345,AKL,2006,ROT,2031,Y,0,DH3 BEH NZ,345,AKL,2006,SFO,3469,,0,772 744 NZ,345,AKL,2006,SYD,3361,,0,763 320 772 NZ,345,AKL,2006,TBU,1963,,0,320 763 NZ,345,AKL,2006,TRG,2034,Y,0,DH3 BEH AT7 NZ,345,AKL,2006,TUO,2007,Y,0,BEH NZ,345,AKL,2006,VLI,1997,,0,320 NZ,345,AKL,2006,WAG,2047,Y,0,BEH NZ,345,AKL,2006,WHK,2041,Y,0,BEH NZ,345,AKL,2006,WLG,2042,,0,733 320 NZ,345,AKL,2006,WRE,2045,Y,0,DH3 BEH NZ,345,AKL,2006,ZQN,2030,,0,320 NZ,345,ALH,6235,PER,3351,Y,0,F50 NZ,345,APW,1969,AKL,2006,,0,320 763 NZ,345,ATL,3682,SFO,3469,Y,0,738 NZ,345,AUH,2179,SIN,3316,Y,0,332 NZ,345,BHE,2037,AKL,2006,Y,0,DH3 BEH NZ,345,BHE,2037,CHC,2009,Y,0,BEH NZ,345,BHE,2037,WLG,2042,Y,0,DH3 BEH NZ,345,BNE,3320,AKL,2006,,0,773 772 320 763 NZ,345,BNE,3320,CHC,2009,,0,320 NZ,345,BNE,3320,CNJ,6255,Y,0,E90 NZ,345,BNE,3320,DUD,2011,Y,0,73H NZ,345,BNE,3320,NLK,3359,,0,320 NZ,345,BNE,3320,SIN,3316,Y,0,332 NZ,345,BNE,3320,WLG,2042,Y,0,73H NZ,345,BNE,3320,ZQN,2030,Y,0,73H NZ,345,BQB,9090,PER,3351,Y,0,F50 NZ,345,CHC,2009,AKL,2006,,0,320 733 NZ,345,CHC,2009,BHE,2037,Y,0,BEH NZ,345,CHC,2009,BNE,3320,,0,320 NZ,345,CHC,2009,DUD,2011,Y,0,AT7 DH3 NZ,345,CHC,2009,HKK,2014,Y,0,BEH DH3 NZ,345,CHC,2009,HLZ,2015,Y,0,DH3 AT7 NZ,345,CHC,2009,IVC,2025,Y,0,AT7 DH3 NZ,345,CHC,2009,MEL,3339,,0,320 NZ,345,CHC,2009,NPE,4095,Y,0,DH3 NZ,345,CHC,2009,NPL,2023,Y,0,DH3 NZ,345,CHC,2009,NSN,2024,Y,0,DH3 NZ,345,CHC,2009,OOL,3321,,0,320 NZ,345,CHC,2009,PMR,2028,Y,0,DH3 AT7 NZ,345,CHC,2009,PPQ,2029,Y,0,DH3 NZ,345,CHC,2009,ROT,2031,Y,0,AT7 NZ,345,CHC,2009,SYD,3361,,0,320 NZ,345,CHC,2009,TRG,2034,Y,0,DH3 NZ,345,CHC,2009,WLG,2042,,0,320 733 DH3 NZ,345,CHC,2009,ZQN,2030,,0,320 NZ,345,CNJ,6255,BNE,3320,Y,0,E90 NZ,345,CNS,3322,AKL,2006,,0,320 NZ,345,DCN,9905,PER,3351,Y,0,320 100 NZ,345,DUD,2011,AKL,2006,,0,320 NZ,345,DUD,2011,CHC,2009,Y,0,AT7 DH3 NZ,345,DUD,2011,WLG,2042,,0,320 733 NZ,345,EPR,6266,PER,3351,Y,0,F50 NZ,345,FRA,340,SFO,3469,Y,0,744 NZ,345,GDL,1804,LAX,3484,Y,0,319 NZ,345,GDL,1804,SFO,3469,Y,0,319 738 NZ,345,GET,6268,PER,3351,Y,0,F50 100 NZ,345,GIS,2012,AKL,2006,Y,0,DH3 BEH NZ,345,GIS,2012,WLG,2042,Y,0,BEH NZ,345,HKG,3077,AKL,2006,,0,772 NZ,345,HKK,2014,CHC,2009,Y,0,BEH DH3 NZ,345,HLZ,2015,AKL,2006,Y,0,BEH NZ,345,HLZ,2015,CHC,2009,Y,0,AT7 DH3 NZ,345,HLZ,2015,PMR,2028,Y,0,BEH NZ,345,HLZ,2015,WLG,2042,Y,0,AT7 DH3 NZ,345,HNL,3728,AKL,2006,,0,763 NZ,345,IUE,5884,AKL,2006,,0,320 NZ,345,IVC,2025,CHC,2009,Y,0,DH3 AT7 NZ,345,IVC,2025,WLG,2042,Y,0,DH3 NZ,345,KAT,2018,AKL,2006,Y,0,BEH NZ,345,KGI,3346,PER,3351,Y,0,E90 100 NZ,345,KKE,2017,AKL,2006,Y,0,BEH DH3 NZ,345,KNX,3347,PER,3351,Y,0,100 NZ,345,LAX,3484,AKL,2006,,0,773 772 NZ,345,LAX,3484,BJX,1815,Y,0,319 NZ,345,LAX,3484,GDL,1804,Y,0,319 NZ,345,LAX,3484,LHR,507,,0,773 NZ,345,LAX,3484,MEX,1824,Y,0,320 NZ,345,LAX,3484,MSY,3861,Y,0,320 319 738 NZ,345,LAX,3484,NAN,1960,Y,0,332 NZ,345,LAX,3484,PPT,4075,Y,0,343 NZ,345,LAX,3484,RAR,1959,,0,763 NZ,345,LAX,3484,SYD,3361,Y,0,777 NZ,345,LEA,3348,PER,3351,Y,0,100 NZ,345,LHR,507,LAX,3484,,0,773 NZ,345,LHR,507,SFO,3469,Y,0,777 NZ,345,MEL,3339,AKL,2006,,0,320 773 NZ,345,MEL,3339,CHC,2009,,0,320 NZ,345,MEL,3339,PVG,3406,Y,0,330 NZ,345,MEL,3339,WLG,2042,,0,320 NZ,345,MEX,1824,LAX,3484,Y,0,320 NZ,345,MEX,1824,SFO,3469,Y,0,320 NZ,345,MSY,3861,LAX,3484,Y,0,738 739 NZ,345,NAN,1960,AKL,2006,,0,772 320 763 773 NZ,345,NAN,1960,LAX,3484,Y,0,332 NZ,345,NLK,3359,AKL,2006,,0,320 NZ,345,NLK,3359,BNE,3320,,0,320 NZ,345,NLK,3359,SYD,3361,,0,320 NZ,345,NOU,2005,AKL,2006,,0,320 NZ,345,NPE,4095,AKL,2006,Y,0,AT7 DH3 NZ,345,NPE,4095,CHC,2009,Y,0,DH3 NZ,345,NPE,4095,WLG,2042,Y,0,DH3 AT7 NZ,345,NPL,2023,AKL,2006,Y,0,DH3 AT7 NZ,345,NPL,2023,CHC,2009,Y,0,DH3 NZ,345,NPL,2023,WLG,2042,Y,0,DH3 NZ,345,NRT,2279,AKL,2006,,0,763 772 NZ,345,NSN,2024,AKL,2006,Y,0,DH3 AT7 NZ,345,NSN,2024,CHC,2009,Y,0,AT7 DH3 NZ,345,NSN,2024,PMR,2028,Y,0,BEH NZ,345,NSN,2024,WLG,2042,Y,0,DH3 BEH AT7 NZ,345,OOL,3321,AKL,2006,,0,320 NZ,345,OOL,3321,CHC,2009,,0,320 NZ,345,PBO,6314,PER,3351,Y,0,100 NZ,345,PEK,3364,PVG,3406,Y,0,330 NZ,345,PER,3351,AKL,2006,,0,772 NZ,345,PER,3351,ALH,6235,Y,0,F50 NZ,345,PER,3351,BQB,9090,Y,0,F50 NZ,345,PER,3351,DCN,9905,Y,0,320 100 NZ,345,PER,3351,EPR,6266,Y,0,F50 NZ,345,PER,3351,GET,6268,,0,100 NZ,345,PER,3351,KGI,3346,Y,0,E90 100 NZ,345,PER,3351,KNX,3347,Y,0,100 NZ,345,PER,3351,LEA,3348,Y,0,100 NZ,345,PER,3351,PBO,6314,Y,0,100 NZ,345,PER,3351,RVT,7577,Y,0,F50 NZ,345,PMR,2028,AKL,2006,Y,0,AT7 DH3 NZ,345,PMR,2028,CHC,2009,Y,0,DH3 AT7 NZ,345,PMR,2028,HLZ,2015,Y,0,BEH NZ,345,PMR,2028,NSN,2024,Y,0,BEH NZ,345,PMR,2028,WLG,2042,Y,0,BEH NZ,345,PPQ,2029,AKL,2006,Y,0,DH3 NZ,345,PPQ,2029,CHC,2009,Y,0,DH3 NZ,345,PPT,4075,AKL,2006,,0,343 763 NZ,345,PPT,4075,LAX,3484,Y,0,343 NZ,345,PQQ,6320,SYD,3361,,0,AT7 NZ,345,PVG,3406,AKL,2006,,0,772 763 NZ,345,PVG,3406,MEL,3339,Y,0,330 NZ,345,PVG,3406,PEK,3364,Y,0,330 NZ,345,PVG,3406,SYD,3361,Y,0,330 NZ,345,RAR,1959,AIT,1958,Y,0,SF3 EMB NZ,345,RAR,1959,AKL,2006,,0,763 320 772 NZ,345,RAR,1959,LAX,3484,,0,763 NZ,345,RAR,1959,SYD,3361,,0,763 NZ,345,ROT,2031,AKL,2006,Y,0,BEH DH3 NZ,345,ROT,2031,CHC,2009,Y,0,AT7 NZ,345,ROT,2031,WLG,2042,Y,0,DH3 NZ,345,RVT,7577,PER,3351,Y,0,F50 NZ,345,SFO,3469,AKL,2006,,0,772 744 NZ,345,SFO,3469,ATL,3682,Y,0,738 NZ,345,SFO,3469,FRA,340,Y,0,744 NZ,345,SFO,3469,GDL,1804,Y,0,319 738 NZ,345,SFO,3469,LHR,507,Y,0,777 NZ,345,SFO,3469,MEX,1824,Y,0,320 NZ,345,SFO,3469,SYD,3361,Y,0,777 NZ,345,SIN,3316,AUH,2179,Y,0,332 NZ,345,SIN,3316,BNE,3320,Y,0,332 NZ,345,SYD,3361,AKL,2006,,0,763 320 772 NZ,345,SYD,3361,CHC,2009,,0,320 NZ,345,SYD,3361,LAX,3484,Y,0,777 NZ,345,SYD,3361,NLK,3359,,0,320 NZ,345,SYD,3361,PQQ,6320,,0,AT7 NZ,345,SYD,3361,PVG,3406,Y,0,330 NZ,345,SYD,3361,RAR,1959,,0,763 NZ,345,SYD,3361,SFO,3469,Y,0,777 NZ,345,SYD,3361,WLG,2042,,0,320 NZ,345,TBU,1963,AKL,2006,,0,320 763 NZ,345,TIU,2035,WLG,2042,Y,0,BEH NZ,345,TRG,2034,AKL,2006,Y,0,DH3 BEH AT7 NZ,345,TRG,2034,CHC,2009,Y,0,DH3 NZ,345,TRG,2034,WLG,2042,Y,0,DH3 NZ,345,TUO,2007,AKL,2006,Y,0,BEH NZ,345,TUO,2007,WLG,2042,Y,0,BEH NZ,345,VLI,1997,AKL,2006,,0,320 NZ,345,WAG,2047,AKL,2006,Y,0,BEH NZ,345,WHK,2041,AKL,2006,Y,0,BEH NZ,345,WLG,2042,AKL,2006,,0,733 320 NZ,345,WLG,2042,BHE,2037,Y,0,DH3 BEH NZ,345,WLG,2042,BNE,3320,Y,0,73H NZ,345,WLG,2042,CHC,2009,,0,733 320 NZ,345,WLG,2042,DUD,2011,,0,320 733 NZ,345,WLG,2042,GIS,2012,Y,0,BEH NZ,345,WLG,2042,HLZ,2015,Y,0,AT7 DH3 NZ,345,WLG,2042,IVC,2025,Y,0,DH3 NZ,345,WLG,2042,MEL,3339,,0,320 NZ,345,WLG,2042,NPE,4095,Y,0,DH3 AT7 NZ,345,WLG,2042,NPL,2023,Y,0,DH3 NZ,345,WLG,2042,NSN,2024,Y,0,DH3 AT7 BEH NZ,345,WLG,2042,PMR,2028,Y,0,BEH NZ,345,WLG,2042,ROT,2031,Y,0,DH3 NZ,345,WLG,2042,SYD,3361,,0,320 NZ,345,WLG,2042,TIU,2035,Y,0,BEH NZ,345,WLG,2042,TRG,2034,Y,0,DH3 NZ,345,WLG,2042,TUO,2007,Y,0,BEH NZ,345,WLG,2042,WRE,2045,Y,0,BEH NZ,345,WLG,2042,WSZ,2046,Y,0,BEH NZ,345,WLG,2042,ZQN,2030,Y,0,AT7 NZ,345,WRE,2045,AKL,2006,Y,0,DH3 BEH NZ,345,WRE,2045,WLG,2042,Y,0,BEH NZ,345,WSZ,2046,WLG,2042,Y,0,BEH NZ,345,YVR,156,AKL,2006,,0,772 NZ,345,ZQN,2030,AKL,2006,,0,320 NZ,345,ZQN,2030,CHC,2009,,0,320 NZ,345,ZQN,2030,WLG,2042,Y,0,AT7 O4,\N,ACC,248,KMS,5556,,0,ATR O4,\N,ACC,248,NYI,251,,0,ATR O4,\N,ACC,248,TKD,252,,0,ATR O4,\N,ACC,248,TML,249,,0,ATR O4,\N,KMS,5556,ACC,248,,0,ATR O4,\N,NYI,251,ACC,248,,0,ATR O4,\N,TKD,252,ACC,248,,0,ATR O4,\N,TML,249,ACC,248,,0,ATR O6,3764,AJU,2522,BSB,2531,,0,318 O6,3764,AJU,2522,SSA,2621,,0,318 O6,3764,BSB,2531,AJU,2522,,0,318 O6,3764,BSB,2531,CGB,2548,,0,100 O6,3764,BSB,2531,CGH,2618,,0,318 319 100 O6,3764,BSB,2531,CGR,2538,,0,318 O6,3764,BSB,2531,CNF,2537,,0,100 O6,3764,BSB,2531,CWB,2545,,0,318 O6,3764,BSB,2531,FLN,2555,,0,318 O6,3764,BSB,2531,FOR,2559,,0,320 O6,3764,BSB,2531,GIG,2560,,0,318 O6,3764,BSB,2531,GRU,2564,,0,318 320 O6,3764,BSB,2531,IOS,2569,,0,100 O6,3764,BSB,2531,JDO,6034,,0,318 O6,3764,BSB,2531,JPA,2575,,0,319 O6,3764,BSB,2531,MCZ,2590,,0,318 O6,3764,BSB,2531,NAT,2597,,0,319 O6,3764,BSB,2531,PNZ,2604,,0,100 O6,3764,BSB,2531,REC,2610,,0,318 O6,3764,BSB,2531,SDU,2612,,0,318 319 O6,3764,BSB,2531,SSA,2621,,0,318 O6,3764,CGB,2548,BSB,2531,,0,100 O6,3764,CGB,2548,CGR,2538,,0,100 O6,3764,CGB,2548,GRU,2564,,0,318 O6,3764,CGB,2548,PVH,2607,,0,100 O6,3764,CGH,2618,BSB,2531,,0,318 319 100 O6,3764,CGH,2618,FLN,2555,,0,318 319 O6,3764,CGH,2618,SDU,2612,,0,319 O6,3764,CGH,2618,SSA,2621,,0,318 O6,3764,CGR,2538,BSB,2531,,0,318 O6,3764,CGR,2538,CGB,2548,,0,100 O6,3764,CGR,2538,CWB,2545,,0,100 O6,3764,CNF,2537,BSB,2531,,0,100 O6,3764,CWB,2545,BSB,2531,,0,318 O6,3764,CWB,2545,CGR,2538,,0,100 O6,3764,FLN,2555,BSB,2531,,0,318 O6,3764,FLN,2555,CGH,2618,,0,318 319 O6,3764,FLN,2555,GIG,2560,,0,318 O6,3764,FLN,2555,GRU,2564,,0,320 318 O6,3764,FLN,2555,POA,2599,,0,320 O6,3764,FLN,2555,XAP,2539,,0,318 O6,3764,FOR,2559,BSB,2531,,0,320 O6,3764,FOR,2559,GIG,2560,,0,318 O6,3764,FOR,2559,GRU,2564,,0,320 318 O6,3764,FOR,2559,JDO,6034,,0,318 O6,3764,GIG,2560,BSB,2531,,0,318 O6,3764,GIG,2560,FLN,2555,,0,318 O6,3764,GIG,2560,FOR,2559,,0,318 O6,3764,GIG,2560,GRU,2564,,0,318 O6,3764,GIG,2560,JPA,2575,,0,318 O6,3764,GIG,2560,POA,2599,,0,318 O6,3764,GIG,2560,REC,2610,,0,318 O6,3764,GIG,2560,SSA,2621,,0,320 O6,3764,GRU,2564,BSB,2531,,0,320 318 O6,3764,GRU,2564,CGB,2548,,0,318 O6,3764,GRU,2564,FLN,2555,,0,318 320 O6,3764,GRU,2564,FOR,2559,,0,320 318 O6,3764,GRU,2564,GIG,2560,,0,318 O6,3764,GRU,2564,JDO,6034,,0,318 O6,3764,GRU,2564,MCZ,2590,,0,318 O6,3764,GRU,2564,NAT,2597,,0,320 O6,3764,GRU,2564,PFB,2602,,0,100 O6,3764,GRU,2564,POA,2599,,0,100 318 O6,3764,GRU,2564,REC,2610,,0,320 318 O6,3764,GRU,2564,SSA,2621,,0,320 318 O6,3764,IOS,2569,BSB,2531,,0,100 O6,3764,IOS,2569,SSA,2621,,0,100 O6,3764,JDO,6034,BSB,2531,,0,318 O6,3764,JDO,6034,FOR,2559,,0,318 O6,3764,JDO,6034,GRU,2564,,0,318 O6,3764,JPA,2575,BSB,2531,,0,319 O6,3764,JPA,2575,GIG,2560,,0,318 O6,3764,MCZ,2590,BSB,2531,,0,318 O6,3764,MCZ,2590,GRU,2564,,0,318 O6,3764,MCZ,2590,SSA,2621,,0,320 O6,3764,NAT,2597,BSB,2531,,0,319 O6,3764,NAT,2597,GRU,2564,,0,320 O6,3764,PFB,2602,GRU,2564,,0,100 O6,3764,PNZ,2604,BSB,2531,,0,100 O6,3764,PNZ,2604,REC,2610,,0,320 O6,3764,PNZ,2604,SSA,2621,,0,320 O6,3764,POA,2599,FLN,2555,,0,320 O6,3764,POA,2599,GIG,2560,,0,318 O6,3764,POA,2599,GRU,2564,,0,100 318 O6,3764,PVH,2607,CGB,2548,,0,100 O6,3764,REC,2610,BSB,2531,,0,318 O6,3764,REC,2610,GIG,2560,,0,318 O6,3764,REC,2610,GRU,2564,,0,320 O6,3764,REC,2610,PNZ,2604,,0,320 O6,3764,REC,2610,SSA,2621,,0,320 O6,3764,SDU,2612,BSB,2531,,0,318 319 O6,3764,SDU,2612,CGH,2618,,0,319 O6,3764,SDU,2612,SSA,2621,,0,319 O6,3764,SSA,2621,AJU,2522,,0,318 O6,3764,SSA,2621,BSB,2531,,0,318 319 O6,3764,SSA,2621,CGH,2618,,0,318 O6,3764,SSA,2621,GIG,2560,,0,320 O6,3764,SSA,2621,GRU,2564,,0,320 318 O6,3764,SSA,2621,IOS,2569,,0,100 O6,3764,SSA,2621,MCZ,2590,,0,320 O6,3764,SSA,2621,PNZ,2604,,0,320 O6,3764,SSA,2621,REC,2610,,0,320 O6,3764,SSA,2621,SDU,2612,,0,319 O6,3764,XAP,2539,FLN,2555,,0,318 OA,3776,AOK,1459,ATH,3941,,0,DH4 OA,3776,AOK,1459,KSJ,1461,,0,DH8 OA,3776,AOK,1459,RHO,1472,,0,DH8 OA,3776,ATH,3941,AOK,1459,,0,DH4 OA,3776,ATH,3941,AXD,1446,Y,0,320 DH4 321 OA,3776,ATH,3941,BCN,1218,Y,0,320 321 OA,3776,ATH,3941,BEG,1739,,0,DH4 OA,3776,ATH,3941,CDG,1382,Y,0,321 320 OA,3776,ATH,3941,CFU,1460,Y,0,DH4 320 OA,3776,ATH,3941,CHQ,1474,Y,0,320 DH4 OA,3776,ATH,3941,EFL,1455,Y,0,DH4 OA,3776,ATH,3941,FCO,1555,Y,0,320 OA,3776,ATH,3941,HER,1452,Y,0,321 DH4 320 OA,3776,ATH,3941,IOA,1451,Y,0,DH4 OA,3776,ATH,3941,IST,1701,,0,320 OA,3776,ATH,3941,JIK,4191,,0,DH4 OA,3776,ATH,3941,JKH,1450,Y,0,DH4 319 OA,3776,ATH,3941,JKL,4192,,0,DH8 OA,3776,ATH,3941,JMK,1468,Y,0,320 DH4 OA,3776,ATH,3941,JNX,4194,,0,DH8 OA,3776,ATH,3941,JSI,1475,,0,DH4 OA,3776,ATH,3941,JSY,5787,,0,DH8 OA,3776,ATH,3941,JTR,1479,Y,0,321 320 DH4 319 OA,3776,ATH,3941,JTY,4190,,0,DH8 OA,3776,ATH,3941,KGS,1458,Y,0,320 DH4 OA,3776,ATH,3941,KIT,1454,,0,DH4 OA,3776,ATH,3941,KVA,1462,Y,0,DH4 OA,3776,ATH,3941,LHR,507,Y,0,321 OA,3776,ATH,3941,LRS,1464,,0,DH8 OA,3776,ATH,3941,LXS,1465,Y,0,DH4 OA,3776,ATH,3941,LYS,1335,Y,0,320 OA,3776,ATH,3941,MAD,1229,Y,0,320 OA,3776,ATH,3941,MAN,478,Y,0,320 OA,3776,ATH,3941,MJT,1469,Y,0,320 DH4 OA,3776,ATH,3941,MLO,4193,,0,DH8 OA,3776,ATH,3941,MRS,1353,Y,0,320 OA,3776,ATH,3941,MXP,1524,Y,0,320 OA,3776,ATH,3941,OTP,1657,,0,320 DH4 OA,3776,ATH,3941,PAS,4195,,0,DH8 OA,3776,ATH,3941,RHO,1472,Y,0,320 DH4 OA,3776,ATH,3941,SKG,1486,Y,0,320 321 DH4 OA,3776,ATH,3941,SKU,1482,Y,0,DH4 OA,3776,ATH,3941,SMI,1476,Y,0,DH4 OA,3776,ATH,3941,SOF,1194,,0,DH4 OA,3776,ATH,3941,TIA,1190,,0,DH4 OA,3776,ATH,3941,ZTH,1488,,0,DH4 OA,3776,AXD,1446,ATH,3941,Y,0,320 DH4 321 OA,3776,BCN,1218,ATH,3941,Y,0,320 321 OA,3776,BEG,1739,ATH,3941,,0,DH4 OA,3776,CDG,1382,ATH,3941,Y,0,321 320 OA,3776,CFU,1460,ATH,3941,Y,0,DH4 320 OA,3776,CHQ,1474,ATH,3941,Y,0,320 DH4 OA,3776,CHQ,1474,SKG,1486,Y,0,320 OA,3776,EFL,1455,ATH,3941,Y,0,DH4 OA,3776,FCO,1555,ATH,3941,Y,0,320 OA,3776,HER,1452,ATH,3941,Y,0,321 DH4 320 OA,3776,HER,1452,SKG,1486,,0,320 OA,3776,IOA,1451,ATH,3941,Y,0,DH4 OA,3776,IST,1701,ATH,3941,,0,320 OA,3776,JIK,4191,ATH,3941,,0,DH4 OA,3776,JKH,1450,ATH,3941,Y,0,DH4 319 OA,3776,JKL,4192,ATH,3941,,0,DH8 OA,3776,JKL,4192,KGS,1458,,0,DH8 OA,3776,JKL,4192,LRS,1464,,0,DH8 OA,3776,JMK,1468,ATH,3941,Y,0,320 DH4 OA,3776,JNX,4194,ATH,3941,,0,DH8 OA,3776,JSH,1480,KSJ,1461,,0,DH8 OA,3776,JSI,1475,ATH,3941,,0,DH4 OA,3776,JSY,5787,ATH,3941,,0,DH8 OA,3776,JTR,1479,ATH,3941,Y,0,321 320 DH4 319 OA,3776,JTY,4190,ATH,3941,,0,DH8 OA,3776,JTY,4190,LRS,1464,,0,DH8 OA,3776,KGS,1458,ATH,3941,Y,0,320 DH4 OA,3776,KGS,1458,JKL,4192,,0,DH8 OA,3776,KGS,1458,RHO,1472,,0,DH8 OA,3776,KIT,1454,ATH,3941,,0,DH4 OA,3776,KSJ,1461,AOK,1459,,0,DH8 OA,3776,KSJ,1461,JSH,1480,,0,DH8 OA,3776,KVA,1462,ATH,3941,Y,0,DH4 OA,3776,KZS,4196,RHO,1472,,0,DH8 OA,3776,LHR,507,ATH,3941,Y,0,321 OA,3776,LRS,1464,ATH,3941,,0,DH8 OA,3776,LRS,1464,JKL,4192,,0,DH8 OA,3776,LRS,1464,JTY,4190,,0,DH8 OA,3776,LXS,1465,ATH,3941,Y,0,DH4 OA,3776,LYS,1335,ATH,3941,Y,0,320 OA,3776,MAD,1229,ATH,3941,Y,0,320 OA,3776,MAN,478,ATH,3941,Y,0,320 OA,3776,MJT,1469,ATH,3941,Y,0,320 DH4 OA,3776,MJT,1469,SKG,1486,,0,320 OA,3776,MLO,4193,ATH,3941,,0,DH8 OA,3776,MRS,1353,ATH,3941,Y,0,320 OA,3776,MXP,1524,ATH,3941,Y,0,320 OA,3776,OTP,1657,ATH,3941,,0,320 DH4 OA,3776,PAS,4195,ATH,3941,,0,DH8 OA,3776,RHO,1472,AOK,1459,,0,DH8 OA,3776,RHO,1472,ATH,3941,Y,0,320 DH4 OA,3776,RHO,1472,KGS,1458,,0,DH8 OA,3776,RHO,1472,KZS,4196,,0,DH8 OA,3776,RHO,1472,SKG,1486,Y,0,320 OA,3776,SKG,1486,ATH,3941,Y,0,320 321 DH4 OA,3776,SKG,1486,CHQ,1474,Y,0,320 OA,3776,SKG,1486,HER,1452,,0,320 OA,3776,SKG,1486,MJT,1469,,0,320 OA,3776,SKG,1486,RHO,1472,Y,0,320 OA,3776,SKU,1482,ATH,3941,Y,0,DH4 OA,3776,SMI,1476,ATH,3941,Y,0,DH4 OA,3776,SOF,1194,ATH,3941,,0,DH4 OA,3776,TIA,1190,ATH,3941,,0,DH4 OA,3776,ZTH,1488,ATH,3941,,0,DH4 OB,462,CBB,2759,CIJ,2761,,0,733 OB,462,CBB,2759,LPB,2762,,0,733 OB,462,CBB,2759,SRE,2767,,0,733 OB,462,CBB,2759,TJA,2768,,0,733 OB,462,CBB,2759,VVI,2771,,0,733 762 OB,462,CIJ,2761,CBB,2759,,0,733 OB,462,EZE,3988,VVI,2771,,0,733 OB,462,GRU,2564,CBB,2759,,0,733 OB,462,GRU,2564,VVI,2771,,0,733 OB,462,LPB,2762,CBB,2759,,0,733 OB,462,LPB,2762,CIJ,2761,,0,733 OB,462,LPB,2762,SRE,2767,,0,733 OB,462,LPB,2762,TJA,2768,,0,733 OB,462,LPB,2762,VVI,2771,,0,733 OB,462,MAD,1229,VVI,2771,,0,762 OB,462,SRE,2767,CBB,2759,,0,733 OB,462,SRE,2767,LPB,2762,,0,733 OB,462,SRE,2767,VVI,2771,,0,733 OB,462,TJA,2768,CBB,2759,,0,733 OB,462,TJA,2768,LPB,2762,,0,733 OB,462,TJA,2768,VVI,2771,,0,733 OB,462,VVI,2771,CBB,2759,,0,762 733 OB,462,VVI,2771,EZE,3988,,0,733 OB,462,VVI,2771,GRU,2564,,0,733 OB,462,VVI,2771,LPB,2762,,0,733 OB,462,VVI,2771,MAD,1229,,0,762 OB,462,VVI,2771,SRE,2767,,0,733 OB,462,VVI,2771,TJA,2768,,0,733 OC,11794,FUJ,2304,FUK,2305,,0,DH8 OC,11794,FUJ,2304,NGS,2313,,0,DH8 OC,11794,FUK,2305,FUJ,2304,,0,DH8 OC,11794,IKI,2295,NGS,2313,,0,DH8 OC,11794,NGS,2313,FUJ,2304,,0,DH8 OC,11794,NGS,2313,IKI,2295,,0,DH8 OC,11794,NGS,2313,TSJ,2297,,0,DH8 OC,11794,TSJ,2297,NGS,2313,,0,DH8 OD,18732,AMD,2994,KUL,3304,,0,739 OD,18732,AOR,3296,SZB,3408,,0,AT7 OD,18732,BKI,3269,KUL,3304,,0,739 OD,18732,BOM,2997,KUL,3304,,0,739 OD,18732,CGK,3275,KUL,3304,,0,739 OD,18732,CGP,3069,KUL,3304,,0,739 OD,18732,COK,3136,KUL,3304,,0,739 OD,18732,DAC,3076,KUL,3304,,0,739 OD,18732,DEL,3093,KUL,3304,,0,739 OD,18732,DMK,3157,KUL,3304,,0,739 OD,18732,DPS,3940,KUL,3304,,0,739 OD,18732,JHB,3303,SZB,3408,,0,AT7 OD,18732,KBR,3298,PEN,3308,,0,AT7 OD,18732,KBR,3298,SZB,3408,,0,AT7 OD,18732,KCH,3263,KUL,3304,,0,739 OD,18732,KUL,3304,AMD,2994,,0,739 OD,18732,KUL,3304,BKI,3269,,0,739 OD,18732,KUL,3304,BOM,2997,,0,739 OD,18732,KUL,3304,CGK,3275,,0,739 OD,18732,KUL,3304,CGP,3069,,0,739 OD,18732,KUL,3304,COK,3136,,0,739 OD,18732,KUL,3304,DAC,3076,,0,739 OD,18732,KUL,3304,DEL,3093,,0,739 OD,18732,KUL,3304,DMK,3157,,0,739 OD,18732,KUL,3304,DPS,3940,,0,739 OD,18732,KUL,3304,KCH,3263,,0,739 OD,18732,KUL,3304,LGK,3305,,0,739 OD,18732,KUL,3304,PEN,3308,,0,739 OD,18732,KUL,3304,SBW,3267,,0,739 OD,18732,KUL,3304,TRZ,3152,,0,739 OD,18732,LGK,3305,KUL,3304,,0,739 OD,18732,LGK,3305,PEN,3308,,0,AT7 OD,18732,LGK,3305,SZB,3408,,0,AT7 OD,18732,PEN,3308,KBR,3298,,0,AT7 OD,18732,PEN,3308,KUL,3304,,0,739 OD,18732,PEN,3308,LGK,3305,,0,AT7 OD,18732,PEN,3308,SZB,3408,,0,AT7 OD,18732,SBW,3267,KUL,3304,,0,739 OD,18732,SZB,3408,AOR,3296,,0,AT7 OD,18732,SZB,3408,JHB,3303,,0,AT7 OD,18732,SZB,3408,KBR,3298,,0,AT7 OD,18732,SZB,3408,LGK,3305,,0,AT7 OD,18732,SZB,3408,PEN,3308,,0,AT7 OD,18732,SZB,3408,TGG,3307,,0,AT7 OD,18732,TGG,3307,SZB,3408,,0,AT7 OD,18732,TRZ,3152,KUL,3304,,0,739 OJ,3826,GEO,4304,KIN,1779,,0,752 OJ,3826,GEO,4304,YYZ,193,,0,752 OJ,3826,JFK,3797,KIN,1779,,0,752 OJ,3826,KIN,1779,GEO,4304,,0,752 OJ,3826,KIN,1779,JFK,3797,,0,752 OJ,3826,KIN,1779,YYZ,193,,0,752 OJ,3826,YYZ,193,GEO,4304,,0,752 OJ,3826,YYZ,193,KIN,1779,,0,752 OK,1946,AGP,1230,PRG,1587,,0,738 OK,1946,ALA,2908,PRG,1587,,0,319 OK,1946,AMS,580,PRG,1587,,0,319 OK,1946,ARN,737,PRG,1587,,0,319 OK,1946,BCN,1218,PMI,3998,,0,738 E90 OK,1946,BCN,1218,PRG,1587,,0,319 320 738 OK,1946,BRU,302,PRG,1587,,0,319 OK,1946,BTS,1745,KSC,1746,,0,AT4 AT7 OK,1946,BTS,1745,PRG,1587,,0,AT4 AT7 OK,1946,BUD,1489,PRG,1587,,0,AT7 OK,1946,CDG,1382,PRG,1587,,0,320 319 OK,1946,CEK,2968,PRG,1587,,0,320 OK,1946,CLJ,1652,PRG,1587,,0,AT5 OK,1946,CPH,609,PRG,1587,,0,319 OK,1946,DUS,345,PRG,1587,,0,319 AT7 OK,1946,EVN,3964,PRG,1587,,0,319 OK,1946,FCO,1555,PRG,1587,,0,73G 319 738 OK,1946,FRA,340,PRG,1587,,0,AT7 319 OK,1946,GOJ,4274,PRG,1587,,0,320 OK,1946,GYD,2922,PRG,1587,Y,0,320 OK,1946,HAM,342,PRG,1587,,0,319 AT7 AT4 OK,1946,HEL,421,PRG,1587,Y,0,319 320 OK,1946,HER,1452,PRG,1587,,0,738 OK,1946,ICN,3930,PRG,1587,,0,333 OK,1946,KBP,2939,PRG,1587,,0,32S 319 OK,1946,KLV,1579,LED,2948,,0,320 OK,1946,KLV,1579,SVO,2985,,0,320 OK,1946,KSC,1746,BTS,1745,,0,AT4 AT7 OK,1946,KSC,1746,PRG,1587,,0,AT4 AT7 OK,1946,KUF,2993,PRG,1587,,0,319 320 OK,1946,LED,2948,KLV,1579,,0,320 OK,1946,LED,2948,PRG,1587,,0,320 319 OK,1946,LPA,1054,MAD,1229,,0,738 OK,1946,MAD,1229,LPA,1054,,0,738 OK,1946,MAD,1229,PRG,1587,,0,319 321 OK,1946,MAD,1229,TFN,1057,,0,738 OK,1946,MLA,1606,PRG,1587,Y,0,320 OK,1946,MSQ,2954,PRG,1587,Y,0,E75 E95 733 OK,1946,MXP,1524,PRG,1587,,0,319 OK,1946,NCE,1354,PRG,1587,,0,319 OK,1946,OSR,1582,PRG,1587,,0,AT4 AT7 OK,1946,OTP,1657,PRG,1587,,0,319 OK,1946,PEE,2973,PRG,1587,,0,319 OK,1946,PMI,3998,BCN,1218,,0,E90 OK,1946,PMI,3998,PRG,1587,,0,738 OK,1946,PRG,1587,AGP,1230,,0,738 OK,1946,PRG,1587,ALA,2908,,0,319 OK,1946,PRG,1587,AMS,580,,0,319 OK,1946,PRG,1587,ARN,737,,0,319 OK,1946,PRG,1587,BCN,1218,,0,319 320 738 OK,1946,PRG,1587,BRU,302,,0,319 OK,1946,PRG,1587,BTS,1745,,0,AT4 AT7 OK,1946,PRG,1587,BUD,1489,,0,AT7 OK,1946,PRG,1587,CDG,1382,,0,320 319 OK,1946,PRG,1587,CEK,2968,,0,320 OK,1946,PRG,1587,CLJ,1652,,0,AT5 OK,1946,PRG,1587,CPH,609,,0,319 OK,1946,PRG,1587,DUS,345,,0,319 AT7 OK,1946,PRG,1587,EVN,3964,,0,319 OK,1946,PRG,1587,FCO,1555,,0,73G 319 738 OK,1946,PRG,1587,FRA,340,,0,AT7 319 OK,1946,PRG,1587,GOJ,4274,,0,320 OK,1946,PRG,1587,GYD,2922,Y,0,320 OK,1946,PRG,1587,HAM,342,,0,319 AT7 AT4 OK,1946,PRG,1587,HEL,421,Y,0,319 320 OK,1946,PRG,1587,HER,1452,,0,738 OK,1946,PRG,1587,ICN,3930,,0,333 OK,1946,PRG,1587,KBP,2939,,0,319 32S OK,1946,PRG,1587,KSC,1746,,0,AT4 AT7 OK,1946,PRG,1587,KUF,2993,,0,319 320 OK,1946,PRG,1587,LED,2948,,0,320 319 OK,1946,PRG,1587,MAD,1229,,0,319 321 OK,1946,PRG,1587,MLA,1606,Y,0,320 OK,1946,PRG,1587,MSQ,2954,Y,0,E75 E95 733 OK,1946,PRG,1587,MXP,1524,,0,319 OK,1946,PRG,1587,NCE,1354,,0,319 OK,1946,PRG,1587,OSR,1582,,0,AT7 AT4 OK,1946,PRG,1587,OTP,1657,,0,319 OK,1946,PRG,1587,PEE,2973,,0,319 OK,1946,PRG,1587,PMI,3998,,0,738 OK,1946,PRG,1587,RHO,1472,,0,738 OK,1946,PRG,1587,RIX,3953,,0,DH4 OK,1946,PRG,1587,ROV,2964,,0,319 OK,1946,PRG,1587,SOF,1194,Y,0,319 E90 OK,1946,PRG,1587,SVO,2985,,0,320 319 OK,1946,PRG,1587,SVX,2975,,0,320 OK,1946,PRG,1587,SXB,1435,,0,AT4 OK,1946,PRG,1587,TAS,2983,,0,319 OK,1946,PRG,1587,TLV,1590,,0,320 738 OK,1946,PRG,1587,TXL,351,,0,AT7 AT4 OK,1946,PRG,1587,UFA,2992,,0,319 320 OK,1946,PRG,1587,VLC,1246,,0,738 OK,1946,PRG,1587,WAW,679,,0,AT7 AT4 OK,1946,PRG,1587,ZRH,1678,,0,AT7 AT4 OK,1946,RHO,1472,PRG,1587,,0,738 OK,1946,RIX,3953,PRG,1587,,0,DH4 OK,1946,ROV,2964,PRG,1587,,0,319 OK,1946,SOF,1194,PRG,1587,Y,0,319 E90 OK,1946,SPU,1206,PRG,1587,,0,738 OK,1946,SVO,2985,KLV,1579,,0,320 OK,1946,SVO,2985,PRG,1587,,0,319 320 OK,1946,SVX,2975,PRG,1587,,0,320 OK,1946,SXB,1435,PRG,1587,,0,AT4 OK,1946,TAS,2983,PRG,1587,,0,319 OK,1946,TFN,1057,MAD,1229,,0,738 OK,1946,TLV,1590,PRG,1587,,0,738 320 OK,1946,TXL,351,PRG,1587,,0,AT7 AT4 OK,1946,UFA,2992,PRG,1587,,0,320 319 OK,1946,VLC,1246,PRG,1587,,0,738 OK,1946,WAW,679,PRG,1587,,0,AT7 AT4 OK,1946,ZRH,1678,PRG,1587,,0,AT7 AT4 OM,3354,HKG,3077,ULN,3380,,0,737 OM,3354,ICN,3930,ULN,3380,,0,763 OM,3354,NRT,2279,ULN,3380,,0,737 OM,3354,PEK,3364,ULN,3380,,0,737 OM,3354,SVO,2985,TXL,351,,0,763 737 OM,3354,SVO,2985,ULN,3380,,0,763 737 OM,3354,TXL,351,SVO,2985,,0,763 737 OM,3354,ULN,3380,HKG,3077,,0,737 OM,3354,ULN,3380,ICN,3930,,0,763 OM,3354,ULN,3380,NRT,2279,,0,737 OM,3354,ULN,3380,PEK,3364,,0,737 OM,3354,ULN,3380,SVO,2985,,0,763 737 ON,3618,BNE,3320,INU,4076,,0,733 ON,3618,INU,4076,BNE,3320,,0,733 ON,3618,INU,4076,MAJ,2249,,0,733 ON,3618,INU,4076,TRW,1965,,0,733 ON,3618,MAJ,2249,INU,4076,,0,733 ON,3618,MAJ,2249,TRW,1965,,0,733 ON,3618,TRW,1965,INU,4076,,0,733 ON,3618,TRW,1965,MAJ,2249,,0,733 OR,1299,AMS,580,AUA,2895,,0,763 OR,1299,AMS,580,BON,2896,,0,763 OR,1299,AMS,580,CUR,2897,,0,763 OR,1299,AMS,580,HOG,1910,,0,763 OR,1299,AMS,580,POP,1761,,0,763 OR,1299,AMS,580,PUJ,1760,,0,763 OR,1299,AMS,580,SFB,4167,,0,763 OR,1299,AMS,580,VRA,1923,,0,763 OR,1299,AUA,2895,AMS,580,,0,763 OR,1299,AUA,2895,CUR,2897,,0,763 OR,1299,BON,2896,AMS,580,,0,763 OR,1299,BON,2896,CUR,2897,,0,763 OR,1299,CUN,1852,AMS,580,,0,763 OR,1299,CUR,2897,AMS,580,,0,763 OR,1299,CUR,2897,AUA,2895,,0,763 OR,1299,CUR,2897,BON,2896,,0,763 OR,1299,HOG,1910,CUN,1852,,0,763 OR,1299,MBJ,1780,AMS,580,,0,763 OR,1299,MIA,3576,AMS,580,,0,763 OR,1299,POP,1761,PUJ,1760,,0,763 OR,1299,PUJ,1760,AMS,580,,0,763 OR,1299,PUJ,1760,MBJ,1780,,0,763 OR,1299,SFB,4167,MIA,3576,,0,763 OR,1299,VRA,1923,CUN,1852,,0,763 OS,491,AMM,2170,VIE,1613,Y,0,320 319 OS,491,AMS,580,VIE,1613,Y,0,100 319 F70 320 OS,491,ARN,737,VIE,1613,Y,0,320 100 319 OS,491,ATH,3941,VIE,1613,Y,0,321 320 OS,491,AYT,1688,VIE,1613,Y,0,320 319 OS,491,BCN,1218,VIE,1613,Y,0,321 320 OS,491,BEG,1739,VIE,1613,Y,0,DH4 F70 319 100 320 OS,491,BKK,3885,VIE,1613,,0,772 OS,491,BLQ,1538,VIE,1613,Y,0,100 F70 DH4 OS,491,BRU,302,VIE,1613,Y,0,319 320 F70 OS,491,BSL,1423,VIE,1613,Y,0,DH4 OS,491,BUD,1489,VIE,1613,Y,0,DH4 100 F70 OS,491,CAI,1128,VIE,1613,Y,0,319 738 E70 OS,491,CDG,1382,VIE,1613,Y,0,320 321 318 OS,491,CGN,344,KLU,4322,Y,0,CRJ OS,491,CGN,344,SZG,1612,Y,0,319 OS,491,CGN,344,VIE,1613,Y,0,319 100 F70 320 OS,491,CHQ,1474,VIE,1613,Y,0,320 OS,491,CLJ,1652,VIE,1613,Y,0,AT5 OS,491,CPH,609,VIE,1613,Y,0,319 320 100 OS,491,CTA,1509,VIE,1613,Y,0,320 100 OS,491,DBV,1200,VIE,1613,Y,0,321 319 320 OS,491,DEL,3093,VIE,1613,Y,0,767 763 OS,491,DLM,1715,VIE,1613,Y,0,100 OS,491,DME,4029,VIE,1613,Y,0,320 OS,491,DNK,2941,VIE,1613,Y,0,F70 100 OS,491,DUS,345,GRZ,1609,Y,0,DH4 OS,491,DUS,345,LNZ,1611,Y,0,DH4 OS,491,DUS,345,VIE,1613,Y,0,320 319 321 100 CR9 OS,491,DXB,2188,VIE,1613,Y,0,763 OS,491,EBL,3989,VIE,1613,Y,0,319 OS,491,EVN,3964,VIE,1613,Y,0,320 321 OS,491,FCO,1555,VIE,1613,Y,0,320 100 319 OS,491,FLR,1563,VIE,1613,Y,0,DH4 F70 OS,491,FNC,4091,VIE,1613,Y,0,321 OS,491,FRA,340,GRZ,1609,Y,0,E90 733 OS,491,FRA,340,INN,1610,Y,0,DH4 OS,491,FRA,340,LNZ,1611,Y,0,CR7 E90 OS,491,FRA,340,SZG,1612,Y,0,100 OS,491,FRA,340,VIE,1613,Y,0,321 320 319 OS,491,GRZ,1609,DUS,345,Y,0,DH4 OS,491,GRZ,1609,FRA,340,Y,0,E90 733 OS,491,GRZ,1609,MUC,346,Y,0,CR9 CR7 OS,491,GRZ,1609,STR,350,Y,0,DH4 OS,491,GRZ,1609,VIE,1613,Y,0,100 DH4 F70 OS,491,GVA,1665,VIE,1613,Y,0,F70 319 100 OS,491,GYD,2922,VIE,1613,Y,0,319 OS,491,HAJ,352,VIE,1613,Y,0,319 OS,491,HAM,342,KLU,4322,Y,0,319 CRJ OS,491,HAM,342,VIE,1613,Y,0,319 320 321 CRJ OS,491,HER,1452,VIE,1613,Y,0,320 OS,491,HRG,1130,VIE,1613,Y,0,319 OS,491,HRK,6105,VIE,1613,Y,0,F70 OS,491,IAD,3714,VIE,1613,Y,0,763 OS,491,IAS,1655,VIE,1613,Y,0,DH4 OS,491,IKA,4330,VIE,1613,Y,0,320 319 OS,491,INN,1610,FRA,340,Y,0,DH4 OS,491,INN,1610,VIE,1613,Y,0,F70 100 DH4 320 OS,491,IST,1701,VIE,1613,Y,0,320 100 319 OS,491,JFK,3797,VIE,1613,Y,0,772 OS,491,JTR,1479,VIE,1613,Y,0,F70 OS,491,KBP,2939,VIE,1613,Y,0,E90 F70 100 73G 735 OS,491,KIV,1735,VIE,1613,Y,0,100 DH4 OS,491,KLU,4322,CGN,344,Y,0,CRJ OS,491,KLU,4322,HAM,342,Y,0,319 CRJ OS,491,KLU,4322,TXL,351,Y,0,319 CRJ OS,491,KLU,4322,VIE,1613,Y,0,DH4 OS,491,KRK,669,VIE,1613,Y,0,F70 DH4 OS,491,KRR,2960,VIE,1613,Y,0,100 F70 319 OS,491,KSC,1746,VIE,1613,Y,0,100 DH4 OS,491,LCA,1197,VIE,1613,Y,0,320 321 OS,491,LED,2948,VIE,1613,Y,0,100 F70 OS,491,LEJ,348,VIE,1613,Y,0,DH4 OS,491,LHR,507,VIE,1613,Y,0,321 320 OS,491,LIS,1638,VIE,1613,Y,0,320 319 OS,491,LJU,1569,VIE,1613,Y,0,CR9 CR2 OS,491,LNZ,1611,DUS,345,Y,0,DH4 OS,491,LNZ,1611,FRA,340,Y,0,E90 CR7 OS,491,LNZ,1611,VIE,1613,Y,0,DH4 D38 OS,491,LPA,1054,VIE,1613,Y,0,320 OS,491,LUX,629,VIE,1613,,0,DH4 OS,491,LWO,2945,VIE,1613,Y,0,DH4 OS,491,LYS,1335,VIE,1613,Y,0,DH4 F70 OS,491,MLA,1606,VIE,1613,Y,0,319 320 OS,491,MSQ,2954,VIE,1613,Y,0,F70 100 320 319 321 OS,491,MUC,346,GRZ,1609,Y,0,CR9 CR7 OS,491,MUC,346,VIE,1613,Y,0,E95 320 319 100 CR9 F70 OS,491,MXP,1524,VIE,1613,Y,0,320 319 100 OS,491,NAP,1561,VIE,1613,Y,0,321 OS,491,NCE,1354,VIE,1613,Y,0,100 320 DH4 F70 321 OS,491,NRT,2279,VIE,1613,,0,772 OS,491,ODS,2947,VIE,1613,Y,0,E90 OS,491,OLB,1520,VIE,1613,Y,0,320 OS,491,ORD,3830,VIE,1613,Y,0,763 OS,491,OSL,644,VIE,1613,Y,0,319 100 F70 OS,491,OTP,1657,VIE,1613,Y,0,320 319 100 321 OS,491,PEK,3364,VIE,1613,Y,0,763 767 OS,491,PMI,3998,VIE,1613,Y,0,319 OS,491,PMO,1512,VIE,1613,Y,0,F70 OS,491,PRG,1587,VIE,1613,Y,0,100 DH4 F70 OS,491,PRN,1742,VIE,1613,Y,0,100 319 OS,491,RHO,1472,VIE,1613,Y,0,320 OS,491,RIX,3953,VIE,1613,Y,0,73C 735 DH4 OS,491,ROV,2964,VIE,1613,Y,0,F70 100 OS,491,SBZ,1658,VIE,1613,Y,0,DH4 OS,491,SJJ,1646,VIE,1613,Y,0,100 320 319 OS,491,SKG,1486,VIE,1613,Y,0,320 100 OS,491,SKP,1737,VIE,1613,Y,0,F70 320 100 OS,491,SOF,1194,VIE,1613,Y,0,319 100 320 321 F70 OS,491,SPU,1206,VIE,1613,Y,0,DH4 320 319 OS,491,STR,350,GRZ,1609,Y,0,DH4 OS,491,STR,350,VIE,1613,Y,0,319 100 F70 320 DH4 CRJ OS,491,SUF,1508,VIE,1613,Y,0,320 OS,491,SZG,1612,CGN,344,Y,0,319 OS,491,SZG,1612,FRA,340,Y,0,100 OS,491,SZG,1612,VIE,1613,Y,0,DH4 100 OS,491,TBS,3973,VIE,1613,Y,0,735 OS,491,TFS,1056,VIE,1613,Y,0,320 OS,491,TGD,1741,VIE,1613,Y,0,100 DH4 OS,491,TIA,1190,VIE,1613,Y,0,100 320 OS,491,TLV,1590,VIE,1613,Y,0,321 OS,491,TSE,2910,VIE,1613,Y,0,321 320 OS,491,TXL,351,KLU,4322,Y,0,319 CRJ OS,491,TXL,351,VIE,1613,Y,0,320 319 321 OS,491,VAR,1196,VIE,1613,Y,0,320 100 F70 OS,491,VCE,1551,VIE,1613,Y,0,DH4 OS,491,VIE,1613,AMM,2170,Y,0,320 319 OS,491,VIE,1613,AMS,580,Y,0,319 F70 100 320 OS,491,VIE,1613,ARN,737,Y,0,100 319 320 OS,491,VIE,1613,ATH,3941,Y,0,321 320 OS,491,VIE,1613,AYT,1688,Y,0,320 319 OS,491,VIE,1613,BCN,1218,Y,0,321 320 OS,491,VIE,1613,BEG,1739,Y,0,F70 319 DH4 100 320 OS,491,VIE,1613,BKK,3885,,0,772 OS,491,VIE,1613,BLQ,1538,Y,0,F70 DH4 100 OS,491,VIE,1613,BRU,302,Y,0,320 319 F70 OS,491,VIE,1613,BSL,1423,Y,0,DH4 OS,491,VIE,1613,BUD,1489,Y,0,DH4 100 F70 OS,491,VIE,1613,CAI,1128,Y,0,319 738 E70 OS,491,VIE,1613,CDG,1382,Y,0,321 320 318 OS,491,VIE,1613,CGN,344,Y,0,100 319 F70 320 OS,491,VIE,1613,CHQ,1474,Y,0,320 OS,491,VIE,1613,CLJ,1652,Y,0,AT5 OS,491,VIE,1613,CPH,609,Y,0,320 100 319 OS,491,VIE,1613,CTA,1509,Y,0,320 100 OS,491,VIE,1613,DBV,1200,Y,0,321 319 320 OS,491,VIE,1613,DEL,3093,Y,0,767 763 OS,491,VIE,1613,DLM,1715,Y,0,100 OS,491,VIE,1613,DME,4029,Y,0,320 OS,491,VIE,1613,DNK,2941,Y,0,F70 100 OS,491,VIE,1613,DUS,345,Y,0,320 319 321 100 CR9 OS,491,VIE,1613,DXB,2188,Y,0,763 OS,491,VIE,1613,EBL,3989,Y,0,319 OS,491,VIE,1613,EVN,3964,Y,0,320 321 OS,491,VIE,1613,FCO,1555,Y,0,320 100 319 OS,491,VIE,1613,FLR,1563,Y,0,DH4 F70 OS,491,VIE,1613,FNC,4091,Y,0,321 OS,491,VIE,1613,FRA,340,Y,0,321 320 319 OS,491,VIE,1613,GRZ,1609,Y,0,DH4 F70 100 OS,491,VIE,1613,GVA,1665,Y,0,319 100 F70 OS,491,VIE,1613,GYD,2922,Y,0,319 OS,491,VIE,1613,HAJ,352,Y,0,319 OS,491,VIE,1613,HAM,342,Y,0,320 319 321 CRJ OS,491,VIE,1613,HER,1452,Y,0,320 OS,491,VIE,1613,HRG,1130,Y,0,319 OS,491,VIE,1613,HRK,6105,Y,0,F70 OS,491,VIE,1613,IAD,3714,Y,0,763 OS,491,VIE,1613,IAS,1655,Y,0,DH4 OS,491,VIE,1613,IKA,4330,Y,0,319 320 OS,491,VIE,1613,INN,1610,Y,0,100 DH4 320 F70 OS,491,VIE,1613,IST,1701,Y,0,320 100 319 OS,491,VIE,1613,JFK,3797,Y,0,772 OS,491,VIE,1613,JTR,1479,Y,0,F70 OS,491,VIE,1613,KBP,2939,Y,0,F70 100 E90 73G 735 OS,491,VIE,1613,KIV,1735,Y,0,100 DH4 F70 OS,491,VIE,1613,KLU,4322,Y,0,DH4 OS,491,VIE,1613,KRK,669,Y,0,F70 DH4 OS,491,VIE,1613,KRR,2960,Y,0,100 F70 319 OS,491,VIE,1613,KSC,1746,Y,0,DH4 100 F70 OS,491,VIE,1613,LCA,1197,Y,0,321 320 OS,491,VIE,1613,LED,2948,Y,0,100 F70 OS,491,VIE,1613,LEJ,348,Y,0,DH4 OS,491,VIE,1613,LHR,507,Y,0,320 321 OS,491,VIE,1613,LIS,1638,Y,0,320 319 OS,491,VIE,1613,LJU,1569,Y,0,CR9 CR2 OS,491,VIE,1613,LNZ,1611,Y,0,D38 DH4 OS,491,VIE,1613,LPA,1054,Y,0,320 OS,491,VIE,1613,LUX,629,,0,DH4 OS,491,VIE,1613,LWO,2945,Y,0,DH4 OS,491,VIE,1613,LYS,1335,Y,0,DH4 F70 OS,491,VIE,1613,MLA,1606,Y,0,319 320 OS,491,VIE,1613,MSQ,2954,Y,0,100 F70 320 319 321 OS,491,VIE,1613,MUC,346,Y,0,320 E95 319 100 CR9 F70 OS,491,VIE,1613,MXP,1524,Y,0,319 320 100 OS,491,VIE,1613,NAP,1561,Y,0,321 OS,491,VIE,1613,NCE,1354,Y,0,320 DH4 F70 100 321 OS,491,VIE,1613,NRT,2279,,0,772 OS,491,VIE,1613,ODS,2947,Y,0,E90 OS,491,VIE,1613,OLB,1520,Y,0,320 OS,491,VIE,1613,ORD,3830,Y,0,763 OS,491,VIE,1613,OSL,644,Y,0,100 F70 OS,491,VIE,1613,OTP,1657,Y,0,320 319 100 321 OS,491,VIE,1613,PEK,3364,Y,0,763 767 OS,491,VIE,1613,PMI,3998,Y,0,319 OS,491,VIE,1613,PMO,1512,Y,0,F70 OS,491,VIE,1613,PRG,1587,Y,0,100 DH4 F70 OS,491,VIE,1613,PRN,1742,Y,0,319 100 OS,491,VIE,1613,RHO,1472,Y,0,320 OS,491,VIE,1613,RIX,3953,Y,0,73C 735 DH4 OS,491,VIE,1613,ROV,2964,Y,0,F70 100 OS,491,VIE,1613,SBZ,1658,Y,0,DH4 OS,491,VIE,1613,SJJ,1646,Y,0,320 100 319 OS,491,VIE,1613,SKG,1486,Y,0,320 100 OS,491,VIE,1613,SKP,1737,Y,0,320 100 319 OS,491,VIE,1613,SOF,1194,Y,0,100 320 321 319 F70 OS,491,VIE,1613,SPU,1206,Y,0,DH4 320 319 OS,491,VIE,1613,STR,350,Y,0,100 319 F70 320 DH4 CRJ OS,491,VIE,1613,SUF,1508,Y,0,320 OS,491,VIE,1613,SZG,1612,Y,0,DH4 100 OS,491,VIE,1613,TBS,3973,Y,0,735 OS,491,VIE,1613,TFS,1056,Y,0,320 OS,491,VIE,1613,TGD,1741,Y,0,100 DH4 OS,491,VIE,1613,TIA,1190,Y,0,320 100 OS,491,VIE,1613,TLV,1590,Y,0,321 OS,491,VIE,1613,TSE,2910,Y,0,320 OS,491,VIE,1613,TXL,351,Y,0,320 319 321 OS,491,VIE,1613,VAR,1196,Y,0,320 100 F70 OS,491,VIE,1613,VCE,1551,Y,0,DH4 OS,491,VIE,1613,VKO,2988,Y,0,735 OS,491,VIE,1613,VNO,3959,Y,0,100 F70 OS,491,VIE,1613,WAW,679,Y,0,F70 E95 100 DH4 E75 OS,491,VIE,1613,YYZ,193,Y,0,767 OS,491,VIE,1613,ZAG,1208,Y,0,DH4 F70 100 OS,491,VIE,1613,ZRH,1678,Y,0,320 32A 319 321 AR1 OS,491,VKO,2988,VIE,1613,Y,0,735 OS,491,VNO,3959,VIE,1613,Y,0,100 F70 OS,491,WAW,679,VIE,1613,Y,0,E95 F70 100 DH4 E75 OS,491,YYZ,193,VIE,1613,Y,0,767 OS,491,ZAG,1208,VIE,1613,Y,0,DH4 F70 100 OS,491,ZRH,1678,VIE,1613,Y,0,32A 320 319 321 AR1 OU,1925,AMS,580,DBV,1200,,0,319 OU,1925,AMS,580,ZAG,1208,,0,319 320 OU,1925,ATH,3941,DBV,1200,,0,DH4 319 OU,1925,ATH,3941,SPU,1206,,0,319 OU,1925,BCN,1218,ZAG,1208,,0,319 OU,1925,BEG,1739,SPU,1206,,0,DH4 OU,1925,BLQ,1538,LIS,1638,Y,0,319 OU,1925,BLQ,1538,ZAG,1208,Y,0,319 320 OU,1925,BRU,302,ZAG,1208,,0,DH4 OU,1925,BWK,4160,ZAG,1208,,0,DH4 OU,1925,CDG,1382,DBV,1200,,0,319 OU,1925,CDG,1382,SPU,1206,,0,319 320 OU,1925,CDG,1382,ZAG,1208,,0,319 320 OU,1925,CPH,609,ZAG,1208,,0,319 DH4 OU,1925,DBV,1200,AMS,580,,0,319 OU,1925,DBV,1200,ATH,3941,,0,DH4 319 OU,1925,DBV,1200,CDG,1382,,0,319 OU,1925,DBV,1200,DUS,345,,0,319 OU,1925,DBV,1200,FCO,1555,,0,DH4 OU,1925,DBV,1200,FRA,340,,0,319 320 OU,1925,DBV,1200,MUC,346,Y,0,319 E95 320 OU,1925,DBV,1200,OSI,1202,,0,DH4 OU,1925,DBV,1200,RJK,1205,,0,EM2 OU,1925,DBV,1200,TXL,351,,0,319 OU,1925,DBV,1200,VCE,1551,,0,DH4 OU,1925,DBV,1200,VIE,1613,Y,0,321 319 320 OU,1925,DBV,1200,ZAG,1208,,0,320 DH4 319 OU,1925,DBV,1200,ZRH,1678,,0,DH4 OU,1925,DUS,345,DBV,1200,,0,319 OU,1925,DUS,345,SPU,1206,,0,319 OU,1925,FCO,1555,DBV,1200,,0,DH4 OU,1925,FCO,1555,SPU,1206,,0,DH4 OU,1925,FRA,340,DBV,1200,,0,319 320 OU,1925,FRA,340,PUY,1203,,0,319 320 OU,1925,FRA,340,SPU,1206,,0,320 319 OU,1925,FRA,340,ZAD,1209,,0,319 OU,1925,FRA,340,ZAG,1208,,0,320 319 OU,1925,IST,1701,ZAG,1208,,0,319 OU,1925,LGW,502,SPU,1206,,0,320 OU,1925,LHR,507,RJK,1205,,0,320 OU,1925,LHR,507,SPU,1206,,0,320 OU,1925,LHR,507,ZAG,1208,,0,319 320 OU,1925,LIS,1638,BLQ,1538,Y,0,319 OU,1925,LYS,1335,SPU,1206,,0,DH4 OU,1925,MUC,346,DBV,1200,Y,0,319 E95 320 OU,1925,MUC,346,SPU,1206,,0,DH4 OU,1925,MUC,346,ZAD,1209,,0,DH4 OU,1925,MUC,346,ZAG,1208,,0,DH4 OU,1925,OSI,1202,DBV,1200,,0,DH4 OU,1925,OSI,1202,SPU,1206,,0,DH4 OU,1925,OSI,1202,ZAG,1208,,0,EM2 OU,1925,PRN,1742,ZAG,1208,,0,DH4 OU,1925,PUY,1203,FRA,340,,0,319 320 OU,1925,PUY,1203,ZAD,1209,,0,DH4 OU,1925,PUY,1203,ZAG,1208,,0,DH4 OU,1925,RJK,1205,LHR,507,,0,320 OU,1925,RJK,1205,SPU,1206,,0,EM2 OU,1925,RJK,1205,ZAG,1208,,0,EM2 OU,1925,SJJ,1646,ZAG,1208,,0,DH4 OU,1925,SKP,1737,ZAG,1208,,0,319 DH4 OU,1925,SPU,1206,ATH,3941,,0,319 OU,1925,SPU,1206,BEG,1739,,0,DH4 OU,1925,SPU,1206,CDG,1382,,0,319 320 OU,1925,SPU,1206,DBV,1200,,0,319 EM2 320 OU,1925,SPU,1206,DUS,345,,0,319 OU,1925,SPU,1206,FCO,1555,,0,DH4 OU,1925,SPU,1206,FRA,340,,0,320 319 OU,1925,SPU,1206,LGW,502,,0,320 OU,1925,SPU,1206,LHR,507,,0,320 OU,1925,SPU,1206,LYS,1335,,0,DH4 OU,1925,SPU,1206,MUC,346,,0,DH4 OU,1925,SPU,1206,OSI,1202,,0,DH4 OU,1925,SPU,1206,TXL,351,,0,319 OU,1925,SPU,1206,VIE,1613,,0,DH4 OU,1925,SPU,1206,ZAG,1208,,0,319 DH4 320 OU,1925,SPU,1206,ZRH,1678,,0,DH4 OU,1925,TXL,351,DBV,1200,,0,319 OU,1925,TXL,351,SPU,1206,,0,319 OU,1925,TXL,351,ZAG,1208,Y,0,320 OU,1925,VCE,1551,DBV,1200,,0,DH4 OU,1925,VIE,1613,DBV,1200,Y,0,321 319 320 OU,1925,VIE,1613,SPU,1206,,0,DH4 OU,1925,VIE,1613,ZAG,1208,,0,DH4 OU,1925,ZAD,1209,FRA,340,,0,319 OU,1925,ZAD,1209,MUC,346,,0,DH4 OU,1925,ZAD,1209,PUY,1203,,0,DH4 OU,1925,ZAD,1209,ZAG,1208,,0,DH4 OU,1925,ZAG,1208,AMS,580,,0,319 320 OU,1925,ZAG,1208,BCN,1218,,0,319 OU,1925,ZAG,1208,BLQ,1538,Y,0,319 320 OU,1925,ZAG,1208,BRU,302,,0,DH4 OU,1925,ZAG,1208,BWK,4160,,0,DH4 OU,1925,ZAG,1208,CDG,1382,,0,319 320 OU,1925,ZAG,1208,CPH,609,,0,319 DH4 OU,1925,ZAG,1208,DBV,1200,,0,DH4 319 320 OU,1925,ZAG,1208,FRA,340,,0,320 319 OU,1925,ZAG,1208,IST,1701,,0,319 OU,1925,ZAG,1208,LHR,507,,0,319 320 OU,1925,ZAG,1208,MUC,346,,0,DH4 OU,1925,ZAG,1208,OSI,1202,,0,EM2 OU,1925,ZAG,1208,PRN,1742,,0,DH4 OU,1925,ZAG,1208,RJK,1205,,0,EM2 OU,1925,ZAG,1208,SJJ,1646,,0,DH4 OU,1925,ZAG,1208,SKP,1737,,0,319 DH4 OU,1925,ZAG,1208,SPU,1206,,0,DH4 320 319 OU,1925,ZAG,1208,TXL,351,Y,0,320 OU,1925,ZAG,1208,VIE,1613,,0,DH4 OU,1925,ZAG,1208,ZAD,1209,,0,DH4 OU,1925,ZAG,1208,ZRH,1678,,0,DH4 OU,1925,ZRH,1678,DBV,1200,,0,DH4 OU,1925,ZRH,1678,SPU,1206,,0,DH4 OU,1925,ZRH,1678,ZAG,1208,,0,DH4 OV,2218,AMS,580,TLL,415,,0,CR9 OV,2218,AMS,580,VXO,711,,0,E70 OV,2218,ARN,737,TLL,415,,0,E70 CR9 OV,2218,BRU,302,TLL,415,,0,CR9 OV,2218,CPH,609,TLL,415,,0,CR9 E70 OV,2218,KBP,2939,TLL,415,,0,CR9 OV,2218,LED,2948,TLL,415,,0,E70 CR9 OV,2218,NCE,1354,TLL,415,,0,CR9 OV,2218,OSL,644,TLL,415,,0,E70 OV,2218,SPU,1206,TLL,415,,0,CR9 OV,2218,SVO,2985,TLL,415,,0,CR9 E70 OV,2218,TLL,415,AMS,580,,0,CR9 OV,2218,TLL,415,ARN,737,,0,E70 CR9 OV,2218,TLL,415,BRU,302,,0,CR9 OV,2218,TLL,415,CPH,609,,0,CR9 E70 OV,2218,TLL,415,KBP,2939,,0,CR9 OV,2218,TLL,415,LED,2948,,0,E70 CR9 OV,2218,TLL,415,NCE,1354,,0,CR9 OV,2218,TLL,415,OSL,644,,0,E70 OV,2218,TLL,415,SPU,1206,,0,CR9 OV,2218,TLL,415,SVO,2985,,0,E70 CR9 OV,2218,TLL,415,TRD,665,,0,CR9 E70 OV,2218,TLL,415,VNO,3959,,0,CR9 E70 OV,2218,TRD,665,TLL,415,,0,CR9 E70 OV,2218,VNO,3959,TLL,415,,0,CR9 E70 OV,2218,VXO,711,AMS,580,,0,E70 OX,3811,BKK,3885,HKG,3077,,0,M82 OX,3811,CAN,3370,DMK,3157,,0,M82 OX,3811,DMK,3157,CAN,3370,,0,M82 OX,3811,DMK,3157,HKT,3179,,0,M82 OX,3811,HKG,3077,BKK,3885,,0,M82 OX,3811,HKT,3179,DMK,3157,,0,M82 OY,3781,AEP,2442,PMY,2492,,0,M82 OY,3781,AEP,2442,SLA,2476,,0,M82 OY,3781,PMY,2492,AEP,2442,,0,M82 OY,3781,SLA,2476,AEP,2442,,0,M82 OZ,28,ADD,1107,NBO,4059,,0,763 OZ,28,AKL,2006,NRT,2279,,0,772 OZ,28,ALA,2908,ICN,3930,,0,333 763 OZ,28,ATL,3682,JFK,3797,,0, OZ,28,ATL,3682,ORD,3830,Y,0,CR7 OZ,28,AUH,2179,ICN,3930,Y,0,345 OZ,28,BKI,3269,ICN,3930,,0,321 OZ,28,BKK,3885,CEI,3932,Y,0,734 OZ,28,BKK,3885,ICN,3930,,0,333 772 OZ,28,BKK,3885,PUS,2372,Y,0,330 OZ,28,CAN,3370,ICN,3930,,0,333 321 OZ,28,CAN,3370,PUS,2372,,0,320 OZ,28,CDG,1382,ICN,3930,,0,772 OZ,28,CEB,4206,ICN,3930,,0,321 763 OZ,28,CEI,3932,BKK,3885,Y,0,734 OZ,28,CGK,3275,ICN,3930,,0,333 OZ,28,CGQ,4380,ICN,3930,,0,763 321 OZ,28,CJJ,6008,CJU,2370,,0,321 320 OZ,28,CJJ,6008,PEK,3364,,0,321 OZ,28,CJU,2370,CJJ,6008,,0,320 321 OZ,28,CJU,2370,FUK,2305,,0,320 OZ,28,CJU,2370,GMP,2378,,0,321 320 763 333 OZ,28,CJU,2370,HIN,6007,,0,320 OZ,28,CJU,2370,ICN,3930,,0,321 320 OZ,28,CJU,2370,KPO,2380,,0,320 OZ,28,CJU,2370,KWJ,2361,,0,321 320 OZ,28,CJU,2370,MWX,4189,,0,321 OZ,28,CJU,2370,PUS,2372,,0,321 320 734 735 OZ,28,CJU,2370,TAE,2381,,0,320 321 OZ,28,CKG,3393,ICN,3930,,0,320 763 321 OZ,28,CPT,797,JNB,813,Y,0,772 OZ,28,CRK,4140,ICN,3930,,0,321 OZ,28,CSX,3371,ICN,3930,,0,321 OZ,28,CTU,3395,HFE,3389,Y,0,319 OZ,28,CTU,3395,ICN,3930,,0,321 OZ,28,DAD,3196,ICN,3930,,0,321 OZ,28,DEL,3093,HKG,3077,Y,0,77L OZ,28,DEL,3093,ICN,3930,,0,333 OZ,28,DLC,3404,ICN,3930,,0,321 OZ,28,DOH,11051,ICN,3930,Y,0,333 OZ,28,DPS,3940,ICN,3930,,0,763 OZ,28,FRA,340,ICN,3930,,0,74E OZ,28,FSZ,6476,ICN,3930,,0,321 320 OZ,28,FUK,2305,CJU,2370,,0,320 OZ,28,FUK,2305,ICN,3930,,0,333 321 77L 763 OZ,28,FUK,2305,PUS,2372,,0,734 320 OZ,28,GMP,2378,CJU,2370,,0,320 321 763 333 OZ,28,GMP,2378,HND,2359,,0,333 OZ,28,GMP,2378,KIX,3992,,0,321 OZ,28,GMP,2378,KPO,2380,,0,320 OZ,28,GMP,2378,KWJ,2361,,0,320 OZ,28,GMP,2378,PEK,3364,,0,333 OZ,28,GMP,2378,PUS,2372,Y,0,735 734 OZ,28,GMP,2378,RSU,2365,,0,320 321 OZ,28,GMP,2378,SHA,3391,,0,333 OZ,28,GMP,2378,USN,2374,,0,320 OZ,28,HAN,3199,ICN,3930,,0,321 333 OZ,28,HFE,3389,ICN,3930,Y,0,321 OZ,28,HGH,3386,ICN,3930,,0,333 OZ,28,HGH,3386,PUS,2372,,0,320 OZ,28,HIJ,2326,ICN,3930,,0,321 OZ,28,HIN,6007,CJU,2370,,0,320 OZ,28,HKG,3077,DEL,3093,Y,0,77L OZ,28,HKG,3077,ICN,3930,,0,744 321 320 333 763 OZ,28,HKT,3179,ICN,3930,,0,763 OZ,28,HND,2359,GMP,2378,,0,333 OZ,28,HND,2359,ICN,3930,,0,321 OZ,28,HNL,3728,ICN,3930,,0,333 OZ,28,HRB,3400,ICN,3930,,0,763 OZ,28,ICN,3930,ALA,2908,,0,333 763 OZ,28,ICN,3930,AUH,2179,Y,0,345 OZ,28,ICN,3930,BKI,3269,,0,321 OZ,28,ICN,3930,BKK,3885,,0,333 772 OZ,28,ICN,3930,CAN,3370,,0,333 321 OZ,28,ICN,3930,CDG,1382,,0,772 OZ,28,ICN,3930,CEB,4206,,0,321 763 OZ,28,ICN,3930,CGK,3275,,0,333 OZ,28,ICN,3930,CGQ,4380,,0,763 321 OZ,28,ICN,3930,CJU,2370,,0,763 321 320 OZ,28,ICN,3930,CKG,3393,,0,320 763 321 OZ,28,ICN,3930,CRK,4140,,0,321 OZ,28,ICN,3930,CSX,3371,,0,321 OZ,28,ICN,3930,CTU,3395,,0,321 OZ,28,ICN,3930,DAD,3196,,0,321 OZ,28,ICN,3930,DEL,3093,,0,333 OZ,28,ICN,3930,DLC,3404,,0,321 OZ,28,ICN,3930,DOH,11051,Y,0,333 OZ,28,ICN,3930,DPS,3940,,0,763 OZ,28,ICN,3930,FRA,340,,0,74E OZ,28,ICN,3930,FSZ,6476,,0,321 320 OZ,28,ICN,3930,FUK,2305,,0,333 321 77L 763 OZ,28,ICN,3930,HAN,3199,,0,321 333 OZ,28,ICN,3930,HGH,3386,,0,333 OZ,28,ICN,3930,HIJ,2326,,0,321 OZ,28,ICN,3930,HKG,3077,,0,320 333 321 744 763 OZ,28,ICN,3930,HKT,3179,,0,763 OZ,28,ICN,3930,HND,2359,,0,321 OZ,28,ICN,3930,HNL,3728,,0,333 OZ,28,ICN,3930,HRB,3400,,0,763 OZ,28,ICN,3930,IST,1701,,0,333 OZ,28,ICN,3930,JFK,3797,,0,77W OZ,28,ICN,3930,KHH,2264,,0,M90 OZ,28,ICN,3930,KHN,3384,,0,321 OZ,28,ICN,3930,KHV,2927,,0,321 OZ,28,ICN,3930,KIX,3992,,0,77L 74E 772 763 321 OZ,28,ICN,3930,KMI,2308,,0,321 OZ,28,ICN,3930,KMJ,2312,,0,321 320 OZ,28,ICN,3930,KWL,3372,,0,321 OZ,28,ICN,3930,LAX,3484,,0,744 77L OZ,28,ICN,3930,LHR,507,,0,77L OZ,28,ICN,3930,LJG,4033,,0,320 OZ,28,ICN,3930,MFM,3121,,0,321 OZ,28,ICN,3930,MNL,2397,,0,333 772 OZ,28,ICN,3930,MYJ,2333,,0,321 OZ,28,ICN,3930,NGB,3387,,0,321 OZ,28,ICN,3930,NGO,3942,,0,321 763 OZ,28,ICN,3930,NKG,3388,,0,763 321 OZ,28,ICN,3930,NRT,2279,,0,333 321 772 74E OZ,28,ICN,3930,OKA,2384,,0,321 OZ,28,ICN,3930,ORD,3830,,0,772 OZ,28,ICN,3930,PEK,3364,,0,321 333 OZ,28,ICN,3930,PNH,3034,,0,321 OZ,28,ICN,3930,PVG,3406,,0,744 333 763 OZ,28,ICN,3930,REP,3035,,0,321 OZ,28,ICN,3930,RGN,3239,,0,763 OZ,28,ICN,3930,ROR,2256,,0,321 OZ,28,ICN,3930,SDJ,2347,,0,321 763 OZ,28,ICN,3930,SEA,3577,,0,333 OZ,28,ICN,3930,SFO,3469,,0,77L OZ,28,ICN,3930,SGN,3205,,0,321 77W 772 OZ,28,ICN,3930,SIN,3316,,0,333 OZ,28,ICN,3930,SPN,2244,,0,763 333 OZ,28,ICN,3930,SYD,3361,,0,772 OZ,28,ICN,3930,SZX,3374,,0,763 333 738 OZ,28,ICN,3930,TAK,2337,,0,321 320 OZ,28,ICN,3930,TAO,3390,,0,320 321 OZ,28,ICN,3930,TAS,2983,,0,333 OZ,28,ICN,3930,TNA,4108,,0,321 OZ,28,ICN,3930,TOY,2324,,0,321 OZ,28,ICN,3930,TPE,2276,,0,333 772 321 OZ,28,ICN,3930,TSN,3368,,0,333 321 OZ,28,ICN,3930,TXN,6387,,0,320 OZ,28,ICN,3930,UBJ,2296,,0,321 OZ,28,ICN,3930,UUS,2933,,0,321 OZ,28,ICN,3930,VVO,2934,,0,321 OZ,28,ICN,3930,XIY,3379,,0,321 763 OZ,28,ICN,3930,YGJ,2330,,0,321 320 OZ,28,ICN,3930,YNJ,6414,,0,321 OZ,28,ICN,3930,YNT,3392,,0,321 320 OZ,28,ICN,3930,YVR,156,Y,0,763 OZ,28,IST,1701,ICN,3930,,0,333 OZ,28,IST,1701,MUC,346,,0,321 OZ,28,IST,1701,NBO,4059,Y,0,738 OZ,28,IST,1701,VIE,1613,,0,321 OZ,28,IST,1701,ZRH,1678,,0,320 OZ,28,JFK,3797,ICN,3930,,0,77W OZ,28,JNB,813,CPT,797,Y,0,772 OZ,28,JNB,813,SIN,3316,Y,0,772 OZ,28,KHH,2264,ICN,3930,,0,M90 OZ,28,KHN,3384,ICN,3930,,0,321 OZ,28,KHV,2927,ICN,3930,,0,321 OZ,28,KIX,3992,GMP,2378,,0,321 OZ,28,KIX,3992,ICN,3930,,0,763 77L 74E 772 321 OZ,28,KIX,3992,PUS,2372,Y,0,321 OZ,28,KIX,3992,SPN,2244,,0,763 OZ,28,KMI,2308,ICN,3930,,0,321 OZ,28,KMJ,2312,ICN,3930,,0,321 320 OZ,28,KPO,2380,CJU,2370,,0,320 OZ,28,KPO,2380,GMP,2378,,0,320 OZ,28,KWJ,2361,CJU,2370,,0,320 321 OZ,28,KWJ,2361,GMP,2378,,0,320 321 OZ,28,KWL,3372,ICN,3930,,0,763 321 OZ,28,KWL,3372,PUS,2372,,0,320 OZ,28,LAX,3484,ICN,3930,,0,77L 744 OZ,28,LAX,3484,MSY,3861,Y,0,320 319 738 OZ,28,LHR,507,ICN,3930,,0,77L OZ,28,LJG,4033,ICN,3930,,0,320 OZ,28,MFM,3121,ICN,3930,,0,321 OZ,28,MNL,2397,ICN,3930,,0,333 772 OZ,28,MNL,2397,PUS,2372,,0,320 OZ,28,MSY,3861,LAX,3484,Y,0,738 739 OZ,28,MUC,346,IST,1701,,0,321 OZ,28,MWX,4189,CJU,2370,,0,321 OZ,28,MWX,4189,PEK,3364,,0,321 OZ,28,MYJ,2333,ICN,3930,,0,321 OZ,28,NBO,4059,ADD,1107,,0,763 OZ,28,NBO,4059,IST,1701,Y,0,738 OZ,28,NGB,3387,ICN,3930,,0,321 OZ,28,NGO,3942,ICN,3930,,0,321 763 OZ,28,NKG,3388,ICN,3930,,0,763 321 OZ,28,NRT,2279,AKL,2006,,0,772 OZ,28,NRT,2279,ICN,3930,,0,321 333 772 74E OZ,28,NRT,2279,PUS,2372,Y,0,321 OZ,28,OKA,2384,ICN,3930,,0,321 OZ,28,OKA,2384,PUS,2372,,0,320 OZ,28,ORD,3830,ATL,3682,Y,0,E70 CR7 OZ,28,ORD,3830,ICN,3930,,0,772 OZ,28,PEK,3364,CJJ,6008,,0,321 OZ,28,PEK,3364,GMP,2378,,0,333 OZ,28,PEK,3364,ICN,3930,,0,321 333 OZ,28,PEK,3364,MWX,4189,,0,321 OZ,28,PEK,3364,PUS,2372,,0,320 OZ,28,PNH,3034,ICN,3930,,0,321 OZ,28,PUS,2372,BKK,3885,Y,0,330 OZ,28,PUS,2372,CAN,3370,,0,320 OZ,28,PUS,2372,CJU,2370,,0,321 320 734 735 OZ,28,PUS,2372,FUK,2305,,0,734 320 OZ,28,PUS,2372,GMP,2378,Y,0,734 735 OZ,28,PUS,2372,HGH,3386,,0,320 OZ,28,PUS,2372,KIX,3992,Y,0,321 OZ,28,PUS,2372,KWL,3372,,0,320 OZ,28,PUS,2372,MNL,2397,,0,320 OZ,28,PUS,2372,NRT,2279,Y,0,321 OZ,28,PUS,2372,OKA,2384,,0,320 OZ,28,PUS,2372,PEK,3364,,0,320 OZ,28,PUS,2372,PVG,3406,,0,320 OZ,28,PUS,2372,SHE,4144,,0,320 OZ,28,PUS,2372,SPN,2244,,0,320 OZ,28,PUS,2372,TAO,3390,Y,0,734 OZ,28,PUS,2372,TXN,6387,,0,320 OZ,28,PVG,3406,ICN,3930,,0,333 744 763 OZ,28,PVG,3406,PUS,2372,,0,320 OZ,28,REP,3035,ICN,3930,,0,321 OZ,28,RGN,3239,ICN,3930,,0,763 OZ,28,ROR,2256,ICN,3930,,0,321 OZ,28,RSU,2365,GMP,2378,,0,320 321 OZ,28,SDJ,2347,ICN,3930,,0,321 763 OZ,28,SEA,3577,ICN,3930,,0,333 OZ,28,SFO,3469,ICN,3930,,0,77L OZ,28,SGN,3205,ICN,3930,,0,321 77W 772 OZ,28,SHA,3391,GMP,2378,,0,333 OZ,28,SHE,4144,PUS,2372,,0,320 OZ,28,SIN,3316,ICN,3930,,0,333 OZ,28,SIN,3316,JNB,813,Y,0,772 OZ,28,SPN,2244,ICN,3930,,0,333 763 OZ,28,SPN,2244,KIX,3992,,0,763 OZ,28,SPN,2244,PUS,2372,,0,320 OZ,28,SYD,3361,ICN,3930,,0,772 OZ,28,SZX,3374,ICN,3930,,0,763 333 738 OZ,28,TAE,2381,CJU,2370,,0,320 321 OZ,28,TAK,2337,ICN,3930,,0,321 320 OZ,28,TAO,3390,CTU,3395,Y,0,738 OZ,28,TAO,3390,ICN,3930,,0,320 321 OZ,28,TAO,3390,PUS,2372,Y,0,734 OZ,28,TAS,2983,ICN,3930,,0,333 OZ,28,TNA,4108,ICN,3930,,0,321 OZ,28,TOY,2324,ICN,3930,,0,321 OZ,28,TPE,2276,ICN,3930,,0,333 772 321 OZ,28,TSN,3368,ICN,3930,,0,333 OZ,28,TXN,6387,ICN,3930,,0,320 OZ,28,TXN,6387,PUS,2372,,0,320 OZ,28,UBJ,2296,ICN,3930,,0,321 OZ,28,USN,2374,GMP,2378,,0,320 OZ,28,UUS,2933,ICN,3930,,0,321 OZ,28,VIE,1613,IST,1701,,0,321 OZ,28,VVO,2934,ICN,3930,,0,321 OZ,28,XIY,3379,ICN,3930,,0,321 763 OZ,28,YGJ,2330,ICN,3930,,0,321 320 OZ,28,YNJ,6414,ICN,3930,,0,321 OZ,28,YNT,3392,ICN,3930,,0,321 320 OZ,28,YVR,156,ICN,3930,Y,0,763 OZ,28,ZRH,1678,IST,1701,,0,320 P0,4066,CIP,5612,LUN,907,,0,CN2 P0,4066,KAA,9828,NLA,910,,0,CN2 P0,4066,LLW,1016,LUN,907,,0,J41 P0,4066,LUN,907,CIP,5612,,0,CN2 P0,4066,LUN,907,KAA,9828,,0,CN2 P0,4066,LUN,907,LLW,1016,,0,J41 P0,4066,LUN,907,LVI,906,,0,J41 732 P0,4066,LUN,907,MFU,908,,0,J41 P0,4066,LUN,907,NLA,910,,0,J41 J32 732 P0,4066,LUN,907,SLI,5613,,0,J32 J41 P0,4066,LVI,906,LUN,907,,0,J41 732 P0,4066,MFU,908,LUN,907,,0,J41 P0,4066,MNS,\N,LUN,907,,0,CN2 P0,4066,NLA,910,LUN,907,,0,J41 J32 732 P0,4066,NLA,910,MNS,\N,,0,CN2 P0,4066,NLA,910,SLI,5613,,0,J32 P0,4066,SLI,5613,LUN,907,,0,J32 J41 P0,4066,SLI,5613,NLA,910,,0,J32 P1,\N,CLT,3876,LUK,3681,Y,0,FRJ P1,\N,CVG,3488,MMU,7657,,0,FRJ P1,\N,LUK,3681,CLT,3876,Y,0,FRJ P1,\N,LUK,3681,MDW,3747,Y,0,FRJ P1,\N,LUK,3681,MMU,7657,Y,0,FRJ P1,\N,MBL,7054,MDW,3747,Y,0,J32 P1,\N,MDW,3747,LUK,3681,Y,0,FRJ P1,\N,MDW,3747,MBL,7054,Y,0,J32 P1,\N,MMU,7657,CVG,3488,,0,FRJ P1,\N,MMU,7657,LUK,3681,Y,0,FRJ P2,\N,JRO,1180,WIL,1147,,0,DHT P2,\N,LAU,1144,MYD,5694,,0,DH8 P2,\N,MRE,7424,WIL,1147,,0,DH7 DHT P2,\N,MYD,5694,WIL,1147,,0,DH8 P2,\N,NYK,5695,MRE,7424,,0,CNA P2,\N,NYK,5695,UAS,6773,,0,CNA P2,\N,UAS,6773,NYK,5695,,0,CNA P2,\N,UAS,6773,WIL,1147,,0,CNA P2,\N,UKA,7976,WIL,1147,,0,DH8 P2,\N,WIL,1147,JRO,1180,,0,DHT P2,\N,WIL,1147,LAU,1144,,0,DH8 P2,\N,WIL,1147,MRE,7424,,0,DH7 DHT P2,\N,WIL,1147,NYK,5695,,0,CNA P2,\N,WIL,1147,UAS,6773,,0,CNA P2,\N,WIL,1147,UKA,7976,,0,DH8 P4,18169,GCM,1926,LCE,1771,,0,L4T P4,18169,GJA,1773,LCE,1771,,0,L4T P4,18169,GUA,1767,SAP,1772,,0,CRJ P4,18169,GUA,1767,TGU,1776,,0,CRJ P4,18169,LCE,1771,GCM,1926,,0,L4T P4,18169,LCE,1771,GJA,1773,,0,L4T P4,18169,LCE,1771,PEU,5832,,0,L4T P4,18169,LCE,1771,RTB,1774,,0,L4T P4,18169,LCE,1771,SAP,1772,,0,L4T P4,18169,LCE,1771,TGU,1776,,0,L4T P4,18169,LCE,1771,UII,4125,,0,L4T P4,18169,PEU,5832,LCE,1771,,0,L4T P4,18169,RTB,1774,LCE,1771,,0,L4T P4,18169,RTB,1774,SAP,1772,,0,L4T P4,18169,RTB,1774,TGU,1776,,0,L4T P4,18169,SAP,1772,GUA,1767,,0,CRJ P4,18169,SAP,1772,LCE,1771,,0,L4T P4,18169,SAP,1772,RTB,1774,,0,L4T P4,18169,TGU,1776,GUA,1767,,0,CRJ P4,18169,TGU,1776,LCE,1771,,0,L4T P4,18169,TGU,1776,RTB,1774,,0,L4T P6,\N,YBC,27,YQB,111,,0,J32 P6,\N,YBC,27,YWK,161,,0,J32 P6,\N,YBG,28,YHU,71,,0,J32 P6,\N,YBG,28,YQB,111,,0,AT4 P6,\N,YBG,28,YZV,202,,0,J32 P6,\N,YGR,65,YQB,111,,0,PL2 J32 P6,\N,YGR,65,YVB,6775,,0,J32 PL2 P6,\N,YGV,7255,YZV,202,,0,J32 P6,\N,YHU,71,YBG,28,,0,J32 P6,\N,YHU,71,YQB,111,,0,J32 PL2 P6,\N,YHU,71,YVO,153,,0,J32 P6,\N,YHU,71,YZV,202,,0,J32 P6,\N,YQB,111,YBC,27,,0,J32 P6,\N,YQB,111,YGR,65,,0,J32 PL2 P6,\N,YQB,111,YHU,71,,0,J32 PL2 P6,\N,YQB,111,YVB,6775,,0,PL2 P6,\N,YQB,111,YWK,161,,0,AT4 P6,\N,YQB,111,YYY,192,,0,AT4 J32 P6,\N,YQB,111,YZV,202,,0,J32 P6,\N,YUY,149,YVO,153,,0,J32 P6,\N,YVB,6775,YGR,65,,0,PL2 J32 P6,\N,YVB,6775,YYY,192,,0,J32 PL2 P6,\N,YVB,6775,ZBF,5538,,0,J32 P6,\N,YVO,153,YHU,71,,0,J32 P6,\N,YVO,153,YUY,149,,0,J32 P6,\N,YWK,161,YBC,27,,0,J32 P6,\N,YWK,161,YBG,28,,0,AT4 P6,\N,YWK,161,YVB,6775,,0,J32 P6,\N,YWK,161,YZV,202,,0,J32 AT4 P6,\N,YYY,192,YQB,111,,0,J32 AT4 PL2 P6,\N,YYY,192,YVB,6775,,0,J32 P6,\N,YYY,192,YZV,202,,0,AT4 P6,\N,YZV,202,YBG,28,,0,J32 P6,\N,YZV,202,YGV,7255,,0,J32 P6,\N,YZV,202,YHU,71,,0,J32 P6,\N,YZV,202,YQB,111,,0,J32 P6,\N,YZV,202,YWK,161,,0,AT4 J32 P6,\N,YZV,202,YYY,192,,0,AT4 P9,11763,AQP,2802,LIM,2789,,0,737 P9,11763,AQP,2802,TCQ,2807,,0,737 P9,11763,CUZ,2812,LIM,2789,,0,737 P9,11763,IQT,2801,LIM,2789,,0,737 P9,11763,IQT,2801,PCL,2781,,0,737 P9,11763,LIM,2789,AQP,2802,,0,737 P9,11763,LIM,2789,CUZ,2812,,0,737 P9,11763,LIM,2789,IQT,2801,,0,737 P9,11763,LIM,2789,PCL,2781,,0,737 P9,11763,LIM,2789,PIU,2809,,0,737 P9,11763,LIM,2789,TPP,2806,,0,737 P9,11763,PCL,2781,IQT,2801,,0,737 P9,11763,PCL,2781,LIM,2789,,0,737 P9,11763,PIU,2809,LIM,2789,,0,737 P9,11763,TCQ,2807,AQP,2802,,0,737 P9,11763,TPP,2806,LIM,2789,,0,737 PB,\N,YAY,24,YBX,5485,,0,SFB PB,\N,YAY,24,YYR,188,,0,DH1 PB,\N,YAY,24,YYT,189,,0,SFB DH1 PB,\N,YBX,5485,YAY,24,,0,SFB PB,\N,YBX,5485,YYR,188,,0,SFB PB,\N,YCL,36,YHZ,73,,0,SFB PB,\N,YCL,36,YWK,161,,0,SFB PB,\N,YDF,45,YYR,188,,0,DH1 SFB PB,\N,YDF,45,YYT,189,,0,SFB DH1 PB,\N,YDP,5488,YNP,\N,,0,DHT PB,\N,YDP,5488,YYR,188,,0,DHT PB,\N,YHO,5502,YMN,5492,,0,DHT PB,\N,YHO,5502,YNP,\N,,0,DHT PB,\N,YHZ,73,YCL,36,,0,SFB PB,\N,YJT,77,YDF,45,,0,SFB PB,\N,YKL,80,YWK,161,,0,SFB PB,\N,YMN,5492,YHO,5502,,0,DHT PB,\N,YMN,5492,YSO,7252,,0,DHT PB,\N,YNP,\N,YDP,5488,,0,DHT PB,\N,YNP,\N,YHO,5502,,0,DHT PB,\N,YQB,111,YUL,146,,0,DH1 PB,\N,YQB,111,YZV,202,,0,DH1 PB,\N,YSO,7252,YMN,5492,,0,DHT PB,\N,YSO,7252,YYR,188,,0,DHT PB,\N,YUL,146,YQB,111,,0,DH1 PB,\N,YUL,146,YWK,161,,0,DH1 PB,\N,YUL,146,YZV,202,,0,DH1 PB,\N,YWK,161,YCL,36,,0,SFB PB,\N,YWK,161,YKL,80,,0,SFB PB,\N,YWK,161,YUL,146,,0,DH1 PB,\N,YWK,161,YYR,188,,0,DH1 PB,\N,YWK,161,YZV,202,,0,DH1 PB,\N,YWK,161,ZUM,5550,,0,DH1 PB,\N,YYR,188,YAY,24,,0,DH1 PB,\N,YYR,188,YBX,5485,,0,SFB PB,\N,YYR,188,YDF,45,,0,DH1 PB,\N,YYR,188,YDP,5488,,0,DHT PB,\N,YYR,188,YSO,7252,,0,DHT PB,\N,YYR,188,YWK,161,,0,DH1 PB,\N,YYR,188,YYT,189,,0,DH1 SFB PB,\N,YYR,188,ZUM,5550,,0,DH1 PB,\N,YYT,189,YAY,24,,0,SFB DH1 PB,\N,YYT,189,YDF,45,,0,DH1 SFB PB,\N,YYT,189,YJT,77,,0,SFB PB,\N,YYT,189,YYR,188,,0,DH1 PB,\N,YZV,202,YQB,111,,0,DH1 PB,\N,YZV,202,YUL,146,,0,DH1 PB,\N,YZV,202,YWK,161,,0,DH1 PB,\N,ZUM,5550,YWK,161,,0,DH1 PB,\N,ZUM,5550,YYR,188,,0,DH1 PC,3926,ADA,1685,ADB,1706,,0,738 PC,3926,ADA,1685,AYT,1688,,0,738 PC,3926,ADA,1685,ECN,5780,,0,738 PC,3926,ADA,1685,SAW,4317,,0,738 320 PC,3926,ADA,1685,TZX,1726,,0,738 PC,3926,ADA,1685,VAN,1728,,0,738 PC,3926,ADB,1706,ADA,1685,,0,738 PC,3926,ADB,1706,AMS,580,,0,738 PC,3926,ADB,1706,ASR,1696,,0,738 PC,3926,ADB,1706,ATH,3941,,0,738 PC,3926,ADB,1706,AYT,1688,,0,738 PC,3926,ADB,1706,BRU,302,,0,738 PC,3926,ADB,1706,BSL,1423,,0,738 PC,3926,ADB,1706,DIY,1722,,0,738 PC,3926,ADB,1706,DUS,345,,0,738 PC,3926,ADB,1706,ECN,5780,,0,738 PC,3926,ADB,1706,ESB,1682,,0,738 PC,3926,ADB,1706,EZS,1721,,0,738 PC,3926,ADB,1706,GNY,9044,,0,738 PC,3926,ADB,1706,GZT,1689,,0,738 PC,3926,ADB,1706,HTY,7453,,0,738 PC,3926,ADB,1706,IST,1701,,0,738 PC,3926,ADB,1706,MQM,6753,,0,738 PC,3926,ADB,1706,SAW,4317,,0,738 320 PC,3926,ADB,1706,STN,548,,0,738 PC,3926,ADB,1706,STR,350,,0,738 PC,3926,ADB,1706,TZX,1726,,0,738 PC,3926,ADB,1706,VAS,1694,,0,738 PC,3926,AER,2965,TZX,1726,,0,738 PC,3926,ALA,2908,SAW,4317,,0,738 PC,3926,AMS,580,ADB,1706,,0,738 PC,3926,AMS,580,ASR,1696,,0,738 PC,3926,AMS,580,AYT,1688,,0,738 PC,3926,AMS,580,KYA,1691,,0,738 PC,3926,AMS,580,SAW,4317,,0,738 PC,3926,ARN,737,SAW,4317,,0,738 320 PC,3926,ASR,1696,ADB,1706,,0,738 PC,3926,ASR,1696,DUS,345,,0,738 PC,3926,ASR,1696,SAW,4317,,0,320 738 PC,3926,ATH,3941,ADB,1706,,0,738 PC,3926,ATH,3941,SAW,4317,,0,738 320 PC,3926,AYT,1688,ADA,1685,,0,738 PC,3926,AYT,1688,ADB,1706,,0,738 PC,3926,AYT,1688,AMS,580,,0,738 PC,3926,AYT,1688,BLL,608,,0,738 PC,3926,AYT,1688,BRU,302,,0,738 PC,3926,AYT,1688,CPH,609,,0,738 PC,3926,AYT,1688,ECN,5780,,0,738 PC,3926,AYT,1688,GVA,1665,,0,738 PC,3926,AYT,1688,SAW,4317,,0,738 320 PC,3926,AYT,1688,TZX,1726,,0,738 PC,3926,AYT,1688,VIE,1613,,0,738 PC,3926,BAL,1729,SAW,4317,,0,320 738 PC,3926,BCN,1218,SAW,4317,,0,738 PC,3926,BEG,1739,SAW,4317,,0,738 PC,3926,BEY,2177,SAW,4317,,0,738 PC,3926,BGY,1525,SAW,4317,,0,738 PC,3926,BJV,4315,BRU,302,,0,738 PC,3926,BJV,4315,ESB,1682,,0,738 PC,3926,BJV,4315,SAW,4317,,0,738 320 PC,3926,BLL,608,AYT,1688,,0,738 PC,3926,BLQ,1538,SAW,4317,,0,320 738 PC,3926,BRU,302,ADB,1706,,0,738 PC,3926,BRU,302,AYT,1688,,0,738 PC,3926,BRU,302,BJV,4315,,0,738 PC,3926,BSL,1423,ADB,1706,,0,738 PC,3926,BSL,1423,SAW,4317,,0,320 738 PC,3926,CGN,344,ESB,1682,,0,738 PC,3926,CGN,344,SAW,4317,,0,738 PC,3926,CPH,609,AYT,1688,,0,738 PC,3926,CPH,609,SAW,4317,,0,738 320 PC,3926,CRL,304,SAW,4317,,0,738 320 PC,3926,DIY,1722,ADB,1706,,0,738 PC,3926,DIY,1722,SAW,4317,,0,738 320 PC,3926,DLM,1715,SAW,4317,,0,738 320 PC,3926,DME,4029,SAW,4317,,0,738 320 PC,3926,DNZ,1699,SAW,4317,,0,738 320 PC,3926,DOH,11051,SAW,4317,,0,738 PC,3926,DOK,2940,SAW,4317,,0,738 320 PC,3926,DUS,345,ADB,1706,,0,738 PC,3926,DUS,345,ASR,1696,,0,738 PC,3926,DUS,345,ESB,1682,,0,738 PC,3926,DUS,345,SAW,4317,,0,738 PC,3926,DXB,2188,SAW,4317,,0,738 PC,3926,EBL,3989,ESB,1682,,0,738 PC,3926,EBU,1350,SAW,4317,,0,738 320 PC,3926,ECN,5780,ADA,1685,,0,738 PC,3926,ECN,5780,ADB,1706,,0,738 PC,3926,ECN,5780,AYT,1688,,0,738 PC,3926,ECN,5780,ESB,1682,,0,738 PC,3926,ECN,5780,GZT,1689,,0,738 PC,3926,ECN,5780,HTY,7453,,0,738 PC,3926,ECN,5780,SAW,4317,,0,738 PC,3926,EDO,5802,SAW,4317,,0,738 320 PC,3926,ERC,1723,SAW,4317,,0,738 320 PC,3926,ERZ,1724,SAW,4317,,0,738 320 PC,3926,ESB,1682,ADB,1706,,0,738 PC,3926,ESB,1682,BJV,4315,,0,738 PC,3926,ESB,1682,CGN,344,,0,738 PC,3926,ESB,1682,DUS,345,,0,738 PC,3926,ESB,1682,EBL,3989,,0,738 PC,3926,ESB,1682,ECN,5780,,0,738 PC,3926,ESB,1682,SAW,4317,,0,738 320 PC,3926,ESB,1682,STR,350,,0,738 PC,3926,ESB,1682,VIE,1613,,0,738 PC,3926,EZS,1721,ADB,1706,,0,738 PC,3926,EZS,1721,SAW,4317,,0,738 PC,3926,FCO,1555,SAW,4317,,0,738 320 PC,3926,FRA,340,SAW,4317,,0,738 PC,3926,FRU,2912,SAW,4317,,0,738 PC,3926,GNY,9044,ADB,1706,,0,738 PC,3926,GNY,9044,SAW,4317,,0,738 320 PC,3926,GVA,1665,AYT,1688,,0,738 PC,3926,GYD,2922,SAW,4317,,0,738 PC,3926,GZP,8266,SAW,4317,,0,738 PC,3926,GZT,1689,ADB,1706,,0,738 PC,3926,GZT,1689,ECN,5780,,0,738 PC,3926,GZT,1689,SAW,4317,,0,738 320 PC,3926,HRK,6105,SAW,4317,,0,320 738 PC,3926,HTY,7453,ADB,1706,,0,738 PC,3926,HTY,7453,ECN,5780,,0,738 PC,3926,HTY,7453,SAW,4317,,0,320 738 PC,3926,IKA,4330,SAW,4317,,0,738 320 PC,3926,IST,1701,ADB,1706,,0,738 PC,3926,KCM,5798,SAW,4317,,0,738 320 PC,3926,KRR,2960,SAW,4317,,0,320 738 PC,3926,KWI,2176,SAW,4317,,0,738 PC,3926,KYA,1691,SAW,4317,,0,738 320 PC,3926,LWO,2945,SAW,4317,,0,738 PC,3926,MAD,1229,SAW,4317,,0,738 PC,3926,MLX,1692,SAW,4317,,0,738 320 PC,3926,MQM,6753,ADB,1706,,0,738 PC,3926,MQM,6753,SAW,4317,,0,738 PC,3926,MRS,1353,SAW,4317,,0,738 PC,3926,MSR,6782,SAW,4317,,0,738 PC,3926,MUC,346,SAW,4317,,0,738 320 PC,3926,MZH,1693,SAW,4317,,0,738 PC,3926,NAV,3987,SAW,4317,,0,738 PC,3926,NUE,347,SAW,4317,,0,738 320 PC,3926,OMS,2958,SAW,4317,,0,738 PC,3926,ORY,1386,SAW,4317,,0,738 PC,3926,OTP,1657,SAW,4317,,0,738 PC,3926,PRN,1742,SAW,4317,,0,738 PC,3926,SAW,4317,ADA,1685,,0,738 320 PC,3926,SAW,4317,ADB,1706,,0,738 320 PC,3926,SAW,4317,ALA,2908,,0,738 PC,3926,SAW,4317,AMS,580,,0,738 PC,3926,SAW,4317,ARN,737,,0,738 320 PC,3926,SAW,4317,ASR,1696,,0,320 738 PC,3926,SAW,4317,ATH,3941,,0,738 320 PC,3926,SAW,4317,AYT,1688,,0,320 738 PC,3926,SAW,4317,BAL,1729,,0,320 738 PC,3926,SAW,4317,BCN,1218,,0,738 PC,3926,SAW,4317,BEG,1739,,0,738 PC,3926,SAW,4317,BEY,2177,,0,738 PC,3926,SAW,4317,BGY,1525,,0,738 PC,3926,SAW,4317,BJV,4315,,0,738 320 PC,3926,SAW,4317,BLQ,1538,,0,320 738 PC,3926,SAW,4317,BSL,1423,,0,320 738 PC,3926,SAW,4317,CGN,344,,0,738 PC,3926,SAW,4317,CPH,609,,0,738 320 PC,3926,SAW,4317,CRL,304,,0,738 320 PC,3926,SAW,4317,DIY,1722,,0,738 320 PC,3926,SAW,4317,DLM,1715,,0,738 320 PC,3926,SAW,4317,DME,4029,,0,738 320 PC,3926,SAW,4317,DNZ,1699,,0,738 320 PC,3926,SAW,4317,DOH,11051,,0,738 PC,3926,SAW,4317,DOK,2940,,0,320 738 PC,3926,SAW,4317,DUS,345,,0,738 PC,3926,SAW,4317,DXB,2188,,0,738 PC,3926,SAW,4317,EBU,1350,,0,738 320 PC,3926,SAW,4317,ECN,5780,,0,738 PC,3926,SAW,4317,EDO,5802,,0,738 320 PC,3926,SAW,4317,ERC,1723,,0,738 320 PC,3926,SAW,4317,ERZ,1724,,0,738 320 PC,3926,SAW,4317,ESB,1682,,0,738 320 PC,3926,SAW,4317,EZS,1721,,0,738 PC,3926,SAW,4317,FCO,1555,,0,738 320 PC,3926,SAW,4317,FRA,340,,0,738 PC,3926,SAW,4317,FRU,2912,,0,738 PC,3926,SAW,4317,GNY,9044,,0,738 320 PC,3926,SAW,4317,GYD,2922,,0,738 PC,3926,SAW,4317,GZP,8266,,0,738 PC,3926,SAW,4317,GZT,1689,,0,738 320 PC,3926,SAW,4317,HRK,6105,,0,738 PC,3926,SAW,4317,HTY,7453,,0,320 738 PC,3926,SAW,4317,IKA,4330,,0,320 738 PC,3926,SAW,4317,KCM,5798,,0,738 320 PC,3926,SAW,4317,KRR,2960,,0,738 320 PC,3926,SAW,4317,KWI,2176,,0,738 PC,3926,SAW,4317,KYA,1691,,0,738 320 PC,3926,SAW,4317,LWO,2945,,0,738 PC,3926,SAW,4317,MAD,1229,,0,738 PC,3926,SAW,4317,MLX,1692,,0,738 320 PC,3926,SAW,4317,MQM,6753,,0,738 PC,3926,SAW,4317,MRS,1353,,0,738 PC,3926,SAW,4317,MSR,6782,,0,738 PC,3926,SAW,4317,MUC,346,,0,738 320 PC,3926,SAW,4317,MZH,1693,,0,738 PC,3926,SAW,4317,NAV,3987,,0,738 PC,3926,SAW,4317,NUE,347,,0,738 320 PC,3926,SAW,4317,OMS,2958,,0,738 PC,3926,SAW,4317,ORY,1386,,0,738 PC,3926,SAW,4317,OTP,1657,,0,738 PC,3926,SAW,4317,PRN,1742,,0,738 PC,3926,SAW,4317,SJJ,1646,,0,738 320 PC,3926,SAW,4317,SKP,1737,,0,320 738 PC,3926,SAW,4317,STN,548,,0,738 PC,3926,SAW,4317,STR,350,,0,738 320 PC,3926,SAW,4317,SXF,337,,0,738 320 PC,3926,SAW,4317,TBS,3973,,0,738 PC,3926,SAW,4317,TIA,1190,,0,320 738 PC,3926,SAW,4317,TLV,1590,,0,738 PC,3926,SAW,4317,TZX,1726,,0,738 320 PC,3926,SAW,4317,VAN,1728,,0,320 738 PC,3926,SAW,4317,VAS,1694,,0,320 738 PC,3926,SAW,4317,VIE,1613,,0,738 320 PC,3926,SAW,4317,ZRH,1678,,0,738 320 PC,3926,SJJ,1646,SAW,4317,,0,738 320 PC,3926,SKP,1737,SAW,4317,,0,320 738 PC,3926,STN,548,ADB,1706,,0,738 PC,3926,STN,548,SAW,4317,,0,738 PC,3926,STR,350,ADB,1706,,0,738 PC,3926,STR,350,ESB,1682,,0,738 PC,3926,STR,350,SAW,4317,,0,738 320 PC,3926,SXF,337,SAW,4317,,0,738 PC,3926,TBS,3973,SAW,4317,,0,738 PC,3926,TIA,1190,SAW,4317,,0,320 738 PC,3926,TLV,1590,SAW,4317,,0,738 PC,3926,TZX,1726,ADA,1685,,0,738 PC,3926,TZX,1726,ADB,1706,,0,738 PC,3926,TZX,1726,AER,2965,,0,738 PC,3926,TZX,1726,AYT,1688,,0,738 PC,3926,TZX,1726,SAW,4317,,0,738 320 PC,3926,VAN,1728,ADA,1685,,0,738 PC,3926,VAN,1728,SAW,4317,,0,320 738 PC,3926,VAS,1694,ADB,1706,,0,738 PC,3926,VAS,1694,SAW,4317,,0,320 738 PC,3926,VIE,1613,AYT,1688,,0,738 PC,3926,VIE,1613,ESB,1682,,0,738 PC,3926,VIE,1613,SAW,4317,,0,738 320 PC,3926,ZRH,1678,SAW,4317,,0,738 320 PD,4021,BOS,3448,YTZ,144,,0,DH4 PD,4021,EWR,3494,YTZ,144,,0,DH4 PD,4021,IAD,3714,YTZ,144,,0,DH4 PD,4021,MDW,3747,YTZ,144,,0,DH4 PD,4021,MYR,3515,YTZ,144,,0,DH4 PD,4021,YAM,21,YTZ,144,,0,DH4 PD,4021,YHZ,73,YOW,100,,0,DH4 PD,4021,YHZ,73,YUL,146,,0,DH4 PD,4021,YHZ,73,YYT,189,,0,DH4 PD,4021,YOW,100,YHZ,73,,0,DH4 PD,4021,YOW,100,YQM,117,,0,DH4 PD,4021,YOW,100,YTZ,144,,0,DH4 PD,4021,YQB,111,YTZ,144,,0,DH4 PD,4021,YQG,113,YTZ,144,,0,DH4 PD,4021,YQM,117,YOW,100,,0,DH4 PD,4021,YQT,121,YTZ,144,,0,DH4 PD,4021,YSB,133,YTZ,144,,0,DH4 PD,4021,YTS,143,YTZ,144,,0,DH4 PD,4021,YTZ,144,BOS,3448,,0,DH4 PD,4021,YTZ,144,EWR,3494,,0,DH4 PD,4021,YTZ,144,IAD,3714,,0,DH4 PD,4021,YTZ,144,MDW,3747,,0,DH4 PD,4021,YTZ,144,MYR,3515,,0,DH4 PD,4021,YTZ,144,YAM,21,,0,DH4 PD,4021,YTZ,144,YOW,100,,0,DH4 PD,4021,YTZ,144,YQB,111,,0,DH4 PD,4021,YTZ,144,YQG,113,,0,DH4 PD,4021,YTZ,144,YQT,121,,0,DH4 PD,4021,YTZ,144,YSB,133,,0,DH4 PD,4021,YTZ,144,YTS,143,,0,DH4 PD,4021,YTZ,144,YUL,146,,0,DH4 PD,4021,YUL,146,YHZ,73,,0,DH4 PD,4021,YUL,146,YTZ,144,,0,DH4 PD,4021,YYT,189,YHZ,73,,0,DH4 PE,106,ACH,1679,VIE,1613,,0,E70 PE,106,VIE,1613,ACH,1679,,0,E70 PG,1422,AUH,2179,BKK,3885,Y,0,77W PG,1422,AUH,2179,MCT,2194,Y,0,320 PG,1422,BKK,3885,AUH,2179,Y,0,77W PG,1422,BKK,3885,BOM,2997,,0,320 PG,1422,BKK,3885,CEI,3932,,0,320 PG,1422,BKK,3885,CNX,3931,,0,320 319 PG,1422,BKK,3885,DAC,3076,,0,319 PG,1422,BKK,3885,HKG,3077,,0,333 773 343 77W PG,1422,BKK,3885,HKT,3179,,0,320 PG,1422,BKK,3885,HND,2359,,0,767 777 PG,1422,BKK,3885,KBV,3174,,0,320 319 PG,1422,BKK,3885,KIX,3992,,0,767 PG,1422,BKK,3885,KUL,3304,Y,0,738 PG,1422,BKK,3885,LPQ,3115,,0,AT7 PG,1422,BKK,3885,LPT,3163,,0,AT7 PG,1422,BKK,3885,MDL,3222,,0,320 PG,1422,BKK,3885,MLE,3156,,0,319 PG,1422,BKK,3885,NRT,2279,,0,767 PG,1422,BKK,3885,NYT,6949,,0,AT7 PG,1422,BKK,3885,PNH,3034,,0,319 PG,1422,BKK,3885,REP,3035,,0,AT7 320 PG,1422,BKK,3885,RGN,3239,,0,320 AT7 PG,1422,BKK,3885,TDX,4135,,0,AT7 PG,1422,BKK,3885,THS,3939,,0,AT7 PG,1422,BKK,3885,USM,3177,,0,319 AT7 PG,1422,BKK,3885,UTH,3183,,0,319 320 PG,1422,BKK,3885,VTE,3120,,0,319 PG,1422,BOM,2997,BKK,3885,,0,320 PG,1422,CEI,3932,BKK,3885,,0,320 PG,1422,CNX,3931,BKK,3885,,0,320 319 PG,1422,CNX,3931,SIN,3316,Y,0,320 PG,1422,CNX,3931,USM,3177,,0,319 PG,1422,DAC,3076,BKK,3885,,0,319 PG,1422,HKG,3077,BKK,3885,,0,772 333 343 77W 773 PG,1422,HKG,3077,USM,3177,,0,319 PG,1422,HKT,3179,BKK,3885,,0,320 PG,1422,HKT,3179,KUL,3304,Y,0,738 PG,1422,HKT,3179,SIN,3316,Y,0,320 738 319 PG,1422,HKT,3179,USM,3177,,0,AT7 PG,1422,HKT,3179,UTP,3161,,0,AT7 PG,1422,HND,2359,BKK,3885,,0,767 777 PG,1422,KBV,3174,BKK,3885,,0,320 319 PG,1422,KBV,3174,USM,3177,,0,AT7 PG,1422,KIX,3992,BKK,3885,,0,767 PG,1422,KUL,3304,BKK,3885,Y,0,738 PG,1422,KUL,3304,HKT,3179,Y,0,738 PG,1422,KUL,3304,USM,3177,,0,319 PG,1422,KWL,3372,BKK,3885,,0,320 PG,1422,LPQ,3115,BKK,3885,,0,AT7 PG,1422,LPT,3163,BKK,3885,,0,AT7 PG,1422,MCT,2194,AUH,2179,Y,0,320 PG,1422,MDL,3222,BKK,3885,,0,320 PG,1422,MLE,3156,BKK,3885,,0,319 PG,1422,NRT,2279,BKK,3885,,0,767 PG,1422,NYT,6949,BKK,3885,,0,AT7 PG,1422,PNH,3034,BKK,3885,,0,319 PG,1422,REP,3035,BKK,3885,,0,AT7 320 PG,1422,RGN,3239,BKK,3885,,0,AT7 320 PG,1422,SIN,3316,CNX,3931,Y,0,320 PG,1422,SIN,3316,HKT,3179,Y,0,320 738 319 PG,1422,SIN,3316,USM,3177,,0,319 PG,1422,TDX,4135,BKK,3885,,0,AT7 PG,1422,THS,3939,BKK,3885,,0,AT7 PG,1422,USM,3177,BKK,3885,,0,319 AT7 PG,1422,USM,3177,CNX,3931,,0,319 PG,1422,USM,3177,HKG,3077,,0,319 PG,1422,USM,3177,HKT,3179,,0,AT7 PG,1422,USM,3177,KBV,3174,,0,AT7 PG,1422,USM,3177,KUL,3304,,0,319 PG,1422,USM,3177,SIN,3316,,0,319 PG,1422,USM,3177,UTP,3161,,0,AT7 PG,1422,UTH,3183,BKK,3885,,0,319 320 PG,1422,UTP,3161,HKT,3179,,0,AT7 PG,1422,UTP,3161,USM,3177,,0,AT7 PG,1422,VTE,3120,BKK,3885,,0,319 PI,3969,CKH,6093,YKS,2923,,0,AN4 PI,3969,CYX,6094,YKS,2923,,0,AN4 PI,3969,IKS,6095,YKS,2923,,0,AN4 PI,3969,MQJ,\N,YKS,2923,,0,AN4 PI,3969,NER,\N,YKS,2923,,0,AN4 PI,3969,SUK,\N,YKS,2923,,0,AN4 PI,3969,ULK,9026,YKS,2923,,0,AN4 PI,3969,YKS,2923,CKH,6093,,0,AN4 PI,3969,YKS,2923,CYX,6094,,0,AN4 PI,3969,YKS,2923,IKS,6095,,0,AN4 PI,3969,YKS,2923,MQJ,\N,,0,AN4 PI,3969,YKS,2923,NER,\N,,0,AN4 PI,3969,YKS,2923,SUK,\N,,0,AN4 PI,3969,YKS,2923,ULK,9026,,0,AN4 PJ,477,FSP,1441,YHZ,73,,0,ATR PJ,477,FSP,1441,YUL,146,,0,ATR PJ,477,FSP,1441,YYT,189,,0,ATR PJ,477,YHZ,73,FSP,1441,,0,ATR PJ,477,YUL,146,FSP,1441,,0,ATR PJ,477,YYT,189,FSP,1441,,0,ATR PK,3871,AUH,2179,ISB,2223,,0,310 PK,3871,AUH,2179,KHI,2206,,0,310 73H PK,3871,AUH,2179,LHE,2207,,0,310 73H PK,3871,AUH,2179,PEW,2219,,0,310 PK,3871,AUH,2179,RYK,2222,,0,737 PK,3871,BAH,2057,LHE,2207,,0,73H 737 PK,3871,BCN,1218,ISB,2223,,0,310 PK,3871,BCN,1218,LHE,2207,,0,310 PK,3871,BHV,5939,ISB,2223,,0,ATR PK,3871,BHV,5939,KHI,2206,,0,ATR 737 PK,3871,BHV,5939,LHE,2207,,0,ATR PK,3871,BHX,469,ISB,2223,,0,777 PK,3871,BOM,2997,KHI,2206,,0,737 320 PK,3871,CDG,1382,ISB,2223,,0,777 PK,3871,CDG,1382,LHE,2207,,0,777 PK,3871,CDG,1382,MXP,1524,,0,777 PK,3871,CJL,5940,ISB,2223,,0,ATR PK,3871,CJL,5940,PEW,2219,,0,ATR PK,3871,CPH,609,LHE,2207,,0,777 PK,3871,CPH,609,OSL,644,,0,777 PK,3871,DAC,3076,KHI,2206,,0,777 320 73H PK,3871,DBA,5941,KHI,2206,,0,ATR PK,3871,DEA,5942,KHI,2206,,0,737 ATR PK,3871,DEA,5942,SHJ,2191,,0,737 PK,3871,DEL,3093,KHI,2206,,0,73H PK,3871,DEL,3093,LHE,2207,,0,73H PK,3871,DMM,2064,ISB,2223,,0,310 PK,3871,DMM,2064,KHI,2206,,0,310 737 PK,3871,DMM,2064,LHE,2207,,0,310 PK,3871,DMM,2064,SKT,6776,,0,310 PK,3871,DOH,11051,BAH,2057,,0,73H PK,3871,DOH,11051,PEW,2219,,0,310 PK,3871,DSK,5943,PEW,2219,,0,ATR PK,3871,DSK,5943,PZH,2233,,0,ATR PK,3871,DXB,2188,ISB,2223,,0,310 PK,3871,DXB,2188,KHI,2206,,0,73H 737 PK,3871,DXB,2188,LHE,2207,,0,73H PK,3871,GIL,2204,ISB,2223,,0,ATR PK,3871,GWD,2203,KHI,2206,,0,ATR PK,3871,GWD,2203,MCT,2194,,0,ATR PK,3871,GWD,2203,TUK,5951,,0,ATR PK,3871,ISB,2223,AUH,2179,,0,310 PK,3871,ISB,2223,BCN,1218,,0,310 PK,3871,ISB,2223,BHV,5939,,0,ATR PK,3871,ISB,2223,BHX,469,,0,777 PK,3871,ISB,2223,CDG,1382,,0,777 PK,3871,ISB,2223,CJL,5940,,0,ATR PK,3871,ISB,2223,CPH,609,,0,777 PK,3871,ISB,2223,DMM,2064,,0,310 PK,3871,ISB,2223,DXB,2188,,0,310 PK,3871,ISB,2223,GIL,2204,,0,ATR PK,3871,ISB,2223,JED,2072,,0,777 PK,3871,ISB,2223,KBL,2050,,0,ATR PK,3871,ISB,2223,KDU,5949,,0,ATR PK,3871,ISB,2223,KHI,2206,,0,777 320 310 73H PK,3871,ISB,2223,LBA,517,,0,310 PK,3871,ISB,2223,LHE,2207,,0,ATR 310 737 PK,3871,ISB,2223,LHR,507,,0,777 PK,3871,ISB,2223,MAN,478,,0,777 PK,3871,ISB,2223,MCT,2194,,0,310 PK,3871,ISB,2223,MED,2074,,0,310 PK,3871,ISB,2223,MUX,2214,,0,ATR PK,3871,ISB,2223,MXP,1524,,0,777 PK,3871,ISB,2223,PEK,3364,,0,310 PK,3871,ISB,2223,PEW,2219,,0,310 ATR PK,3871,ISB,2223,RUH,2082,,0,777 310 PK,3871,ISB,2223,SHJ,2191,,0,310 PK,3871,ISB,2223,SKT,6776,,0,310 PK,3871,ISB,2223,SKZ,2227,,0,ATR PK,3871,ISB,2223,UET,2221,,0,310 PK,3871,ISB,2223,YYZ,193,,0,777 PK,3871,JED,2072,ISB,2223,,0,777 PK,3871,JED,2072,KHI,2206,,0,777 310 PK,3871,JED,2072,LHE,2207,,0,777 310 PK,3871,JED,2072,MUX,2214,,0,310 PK,3871,JED,2072,PEW,2219,,0,777 PK,3871,JED,2072,SKT,6776,,0,777 PK,3871,JFK,3797,LHE,2207,,0,777 PK,3871,KBL,2050,ISB,2223,,0,ATR PK,3871,KBL,2050,PEW,2219,,0,ATR PK,3871,KDU,5949,ISB,2223,,0,ATR PK,3871,KHI,2206,AUH,2179,,0,73H 310 PK,3871,KHI,2206,BHV,5939,,0,ATR 737 PK,3871,KHI,2206,BOM,2997,,0,737 320 PK,3871,KHI,2206,DAC,3076,,0,777 320 73H PK,3871,KHI,2206,DEA,5942,,0,737 ATR PK,3871,KHI,2206,DEL,3093,,0,73H PK,3871,KHI,2206,DMM,2064,,0,310 737 PK,3871,KHI,2206,DXB,2188,,0,73H 737 PK,3871,KHI,2206,GWD,2203,,0,ATR PK,3871,KHI,2206,ISB,2223,,0,310 320 ATR 777 73H PK,3871,KHI,2206,JED,2072,,0,777 310 PK,3871,KHI,2206,KTM,3125,,0,310 PK,3871,KHI,2206,KUL,3304,,0,310 PK,3871,KHI,2206,LHE,2207,,0,320 777 73H 310 737 PK,3871,KHI,2206,LHR,507,,0,777 PK,3871,KHI,2206,LYP,2202,,0,320 73H 737 PK,3871,KHI,2206,MCT,2194,,0,320 PK,3871,KHI,2206,MED,2074,,0,310 PK,3871,KHI,2206,MJD,2212,,0,ATR PK,3871,KHI,2206,MUX,2214,,0,ATR 73H 320 737 310 PK,3871,KHI,2206,PEW,2219,,0,737 320 PK,3871,KHI,2206,PJG,2217,,0,ATR PK,3871,KHI,2206,RUH,2082,,0,777 PK,3871,KHI,2206,RYK,2222,,0,ATR 737 PK,3871,KHI,2206,SHJ,2191,,0,73H 310 737 320 PK,3871,KHI,2206,SKZ,2227,,0,ATR 737 PK,3871,KHI,2206,TUK,5951,,0,ATR PK,3871,KHI,2206,UET,2221,,0,310 ATR PK,3871,KHI,2206,YYZ,193,,0,777 PK,3871,KTM,3125,KHI,2206,,0,310 PK,3871,KUL,3304,KHI,2206,,0,310 PK,3871,KUL,3304,LHE,2207,,0,310 PK,3871,KUL,3304,PEW,2219,,0,310 PK,3871,KWI,2176,LHE,2207,,0,73H PK,3871,KWI,2176,PEW,2219,,0,73H PK,3871,KWI,2176,SKT,6776,,0,310 PK,3871,LBA,517,ISB,2223,,0,310 PK,3871,LHE,2207,AUH,2179,,0,310 73H PK,3871,LHE,2207,BAH,2057,,0,737 PK,3871,LHE,2207,BCN,1218,,0,310 PK,3871,LHE,2207,BHV,5939,,0,ATR PK,3871,LHE,2207,DEA,5942,,0,737 PK,3871,LHE,2207,DEL,3093,,0,73H PK,3871,LHE,2207,DMM,2064,,0,310 PK,3871,LHE,2207,DOH,11051,,0,73H PK,3871,LHE,2207,DXB,2188,,0,73H PK,3871,LHE,2207,ISB,2223,,0,ATR 310 737 PK,3871,LHE,2207,JED,2072,,0,310 777 PK,3871,LHE,2207,KHI,2206,,0,320 310 73H 777 737 PK,3871,LHE,2207,KUL,3304,,0,310 PK,3871,LHE,2207,KWI,2176,,0,73H 310 PK,3871,LHE,2207,LHR,507,,0,777 PK,3871,LHE,2207,MAN,478,,0,777 PK,3871,LHE,2207,MCT,2194,,0,737 PK,3871,LHE,2207,MED,2074,,0,777 PK,3871,LHE,2207,MUX,2214,,0,737 ATR 320 PK,3871,LHE,2207,MXP,1524,,0,777 PK,3871,LHE,2207,OSL,644,,0,777 PK,3871,LHE,2207,PEW,2219,,0,73H PK,3871,LHE,2207,RUH,2082,,0,310 PK,3871,LHE,2207,RYK,2222,,0,ATR PK,3871,LHE,2207,SHJ,2191,,0,73H 310 PK,3871,LHE,2207,SKZ,2227,,0,ATR 737 PK,3871,LHE,2207,UET,2221,,0,737 PK,3871,LHE,2207,YYZ,193,,0,777 PK,3871,LHR,507,ISB,2223,,0,777 PK,3871,LHR,507,KHI,2206,,0,777 PK,3871,LHR,507,LHE,2207,,0,777 PK,3871,LYP,2202,KHI,2206,,0,320 73H 737 PK,3871,MAN,478,ISB,2223,,0,777 PK,3871,MAN,478,JFK,3797,,0,777 PK,3871,MAN,478,LHE,2207,,0,777 PK,3871,MCT,2194,GWD,2203,,0,ATR PK,3871,MCT,2194,ISB,2223,,0,310 PK,3871,MCT,2194,KHI,2206,,0,320 PK,3871,MCT,2194,LHE,2207,,0,737 PK,3871,MCT,2194,PEW,2219,,0,310 PK,3871,MCT,2194,SKT,6776,,0,310 PK,3871,MCT,2194,TUK,5951,,0,ATR PK,3871,MED,2074,ISB,2223,,0,310 PK,3871,MED,2074,KHI,2206,,0,310 PK,3871,MED,2074,LHE,2207,,0,777 PK,3871,MED,2074,MUX,2214,,0,310 PK,3871,MHD,4331,UET,2221,,0,737 PK,3871,MJD,2212,KHI,2206,,0,ATR PK,3871,MJD,2212,SKZ,2227,,0,ATR PK,3871,MUX,2214,ISB,2223,,0,ATR PK,3871,MUX,2214,JED,2072,,0,310 PK,3871,MUX,2214,KHI,2206,,0,737 ATR 320 73H 310 PK,3871,MUX,2214,LHE,2207,,0,ATR 73H 737 PK,3871,MUX,2214,MED,2074,,0,310 PK,3871,MUX,2214,SHJ,2191,,0,737 73H PK,3871,MUX,2214,UET,2221,,0,ATR PK,3871,MXP,1524,CDG,1382,,0,777 PK,3871,MXP,1524,ISB,2223,,0,777 PK,3871,NRT,2279,PEK,3364,,0,310 PK,3871,OSL,644,CPH,609,,0,777 PK,3871,OSL,644,ISB,2223,,0,777 PK,3871,PEK,3364,ISB,2223,,0,310 PK,3871,PEK,3364,NRT,2279,,0,310 PK,3871,PEW,2219,AUH,2179,,0,310 73H PK,3871,PEW,2219,CJL,5940,,0,ATR PK,3871,PEW,2219,DOH,11051,,0,310 PK,3871,PEW,2219,DSK,5943,,0,ATR PK,3871,PEW,2219,ISB,2223,,0,310 ATR PK,3871,PEW,2219,JED,2072,,0,777 PK,3871,PEW,2219,KBL,2050,,0,ATR PK,3871,PEW,2219,KHI,2206,,0,310 737 PK,3871,PEW,2219,KUL,3304,,0,310 PK,3871,PEW,2219,KWI,2176,,0,73H PK,3871,PEW,2219,LHE,2207,,0,310 73H PK,3871,PEW,2219,MCT,2194,,0,310 PK,3871,PEW,2219,RUH,2082,,0,310 PK,3871,PEW,2219,SHJ,2191,,0,310 737 320 PK,3871,PJG,2217,KHI,2206,,0,ATR PK,3871,PZH,2233,DSK,5943,,0,ATR PK,3871,PZH,2233,UET,2221,,0,ATR PK,3871,RUH,2082,ISB,2223,,0,777 PK,3871,RUH,2082,KHI,2206,,0,777 310 PK,3871,RUH,2082,LHE,2207,,0,310 PK,3871,RUH,2082,PEW,2219,,0,310 PK,3871,RUH,2082,SKT,6776,,0,310 PK,3871,RYK,2222,AUH,2179,,0,737 PK,3871,RYK,2222,KHI,2206,,0,ATR 737 PK,3871,RYK,2222,LHE,2207,,0,ATR 737 PK,3871,SHJ,2191,DEA,5942,,0,737 PK,3871,SHJ,2191,ISB,2223,,0,310 PK,3871,SHJ,2191,KHI,2206,,0,320 73H 310 737 PK,3871,SHJ,2191,LHE,2207,,0,73H 310 PK,3871,SHJ,2191,MUX,2214,,0,737 73H PK,3871,SHJ,2191,PEW,2219,,0,310 737 320 PK,3871,SHJ,2191,TUK,5951,,0,ATR PK,3871,SHJ,2191,UET,2221,,0,737 PK,3871,SKT,6776,DMM,2064,,0,310 PK,3871,SKT,6776,ISB,2223,,0,310 PK,3871,SKT,6776,JED,2072,,0,777 PK,3871,SKT,6776,KWI,2176,,0,310 PK,3871,SKT,6776,MCT,2194,,0,310 PK,3871,SKT,6776,RUH,2082,,0,310 PK,3871,SKZ,2227,BHV,5939,,0,ATR PK,3871,SKZ,2227,ISB,2223,,0,ATR PK,3871,SKZ,2227,KHI,2206,,0,ATR 737 PK,3871,SKZ,2227,LHE,2207,,0,ATR 737 PK,3871,SKZ,2227,MJD,2212,,0,ATR PK,3871,TUK,5951,DBA,5941,,0,ATR PK,3871,TUK,5951,GWD,2203,,0,ATR PK,3871,TUK,5951,KHI,2206,,0,ATR PK,3871,TUK,5951,MCT,2194,,0,ATR PK,3871,TUK,5951,SHJ,2191,,0,ATR PK,3871,TUK,5951,UET,2221,,0,ATR PK,3871,UET,2221,ISB,2223,,0,310 PK,3871,UET,2221,KHI,2206,,0,ATR 310 PK,3871,UET,2221,LHE,2207,,0,737 PK,3871,UET,2221,MHD,4331,,0,737 PK,3871,UET,2221,MUX,2214,,0,ATR PK,3871,UET,2221,PZH,2233,,0,ATR PK,3871,UET,2221,SHJ,2191,,0,737 PK,3871,UET,2221,TUK,5951,,0,ATR PK,3871,YYZ,193,ISB,2223,,0,777 PK,3871,YYZ,193,KHI,2206,,0,777 PK,3871,YYZ,193,LHE,2207,,0,777 PL,179,ATC,5857,NAS,1953,,0,ATP PL,179,ELH,1943,NAS,1953,,0,ATP PL,179,GHB,1944,NAS,1953,,0,ATP PL,179,LGI,1950,NAS,1953,,0,ATP PL,179,NAS,1953,ATC,5857,,0,ATP PL,179,NAS,1953,ELH,1943,,0,ATP PL,179,NAS,1953,GHB,1944,,0,ATP PL,179,NAS,1953,LGI,1950,,0,ATP PL,179,NAS,1953,RCY,\N,,0,ATP PL,179,NAS,1953,RSD,1946,,0,ATP PL,179,NAS,1953,SML,1951,,0,ATP PL,179,NAS,1953,TBI,\N,,0,ATP PL,179,NAS,1953,ZSA,1956,,0,ATP PL,179,RCY,\N,NAS,1953,,0,ATP PL,179,RSD,1946,NAS,1953,,0,ATP PL,179,SML,1951,NAS,1953,,0,ATP PL,179,TBI,\N,NAS,1953,,0,ATP PL,179,ZSA,1956,NAS,1953,,0,ATP PM,5016,ACE,1055,LPA,1054,,0,AT4 PM,5016,EUN,5672,LPA,1054,,0,AT4 PM,5016,FUE,1051,LPA,1054,,0,SWM AT4 PM,5016,GLN,9823,LPA,1054,,0,AT4 PM,5016,LPA,1054,ACE,1055,,0,AT4 PM,5016,LPA,1054,EUN,5672,,0,AT4 PM,5016,LPA,1054,FUE,1051,,0,SWM AT4 PM,5016,LPA,1054,GLN,9823,,0,AT4 PM,5016,LPA,1054,NDB,1097,,0,SWM AT4 PM,5016,LPA,1054,TFN,1057,,0,AT4 PM,5016,LPA,1054,VIL,5670,,0,AT4 PM,5016,NDB,1097,LPA,1054,,0,SWM AT4 PM,5016,SPC,1053,TFN,1057,,0,AT4 PM,5016,TFN,1057,LPA,1054,,0,AT4 PM,5016,TFN,1057,SPC,1053,,0,AT4 PM,5016,VIL,5670,LPA,1054,,0,AT4 PN,12978,CAN,3370,CKG,3393,,0,320 PN,12978,CGO,3375,CKG,3393,,0,320 PN,12978,CGO,3375,DLC,3404,,0,320 PN,12978,CGO,3375,FOC,3385,,0,320 PN,12978,CGO,3375,HRB,3400,,0,320 PN,12978,CGO,3375,JJN,6386,,0,320 PN,12978,CGO,3375,KWE,3394,,0,320 PN,12978,CGO,3375,KWL,3372,,0,320 PN,12978,CGO,3375,SYX,4030,,0,320 PN,12978,CGO,3375,TAO,3390,,0,320 PN,12978,CGO,3375,URC,3399,,0,320 PN,12978,CGO,3375,ZUH,6355,,0,320 PN,12978,CKG,3393,CAN,3370,,0,320 PN,12978,CKG,3393,CGO,3375,,0,320 PN,12978,CKG,3393,CSX,3371,,0,320 319 PN,12978,CKG,3393,FOC,3385,,0,320 PN,12978,CKG,3393,HAK,4120,,0,320 PN,12978,CKG,3393,HET,6345,,0,319 320 PN,12978,CKG,3393,HFE,3389,,0,320 PN,12978,CKG,3393,JZH,4301,,0,320 319 PN,12978,CKG,3393,KHN,3384,,0,320 319 PN,12978,CKG,3393,KMG,3382,,0,319 PN,12978,CKG,3393,KRL,6407,,0,319 PN,12978,CKG,3393,KWL,3372,,0,320 319 PN,12978,CKG,3393,LHW,3378,,0,320 PN,12978,CKG,3393,LJG,4033,,0,319 320 PN,12978,CKG,3393,LXA,4097,,0,319 320 PN,12978,CKG,3393,NGB,3387,,0,320 PN,12978,CKG,3393,NKG,3388,,0,320 PN,12978,CKG,3393,SYX,4030,,0,320 PN,12978,CKG,3393,SZX,3374,,0,320 PN,12978,CKG,3393,TAO,3390,,0,320 319 PN,12978,CKG,3393,TNA,4108,,0,320 PN,12978,CKG,3393,TSN,3368,,0,319 PN,12978,CKG,3393,TYN,3369,,0,320 PN,12978,CKG,3393,URC,3399,,0,320 PN,12978,CKG,3393,WUH,3376,,0,320 PN,12978,CKG,3393,XIY,3379,,0,320 PN,12978,CKG,3393,XMN,3383,,0,319 320 PN,12978,CKG,3393,ZUH,6355,,0,320 PN,12978,CSX,3371,CKG,3393,,0,320 319 PN,12978,CSX,3371,NGB,3387,,0,320 PN,12978,CSX,3371,XMN,3383,,0,319 PN,12978,DLC,3404,CGO,3375,,0,320 PN,12978,FOC,3385,CGO,3375,,0,320 PN,12978,FOC,3385,CKG,3393,,0,320 PN,12978,FOC,3385,WUH,3376,,0,320 PN,12978,HAK,4120,CKG,3393,,0,320 PN,12978,HET,6345,CKG,3393,,0,320 319 PN,12978,HET,6345,HRB,3400,,0,320 319 PN,12978,HFE,3389,CKG,3393,,0,320 PN,12978,HFE,3389,SHE,4144,,0,320 PN,12978,HRB,3400,CGO,3375,,0,320 PN,12978,HRB,3400,HET,6345,,0,320 319 PN,12978,JHG,3381,KMG,3382,,0,319 PN,12978,JJN,6386,CGO,3375,,0,320 PN,12978,JZH,4301,CKG,3393,,0,320 319 PN,12978,KHN,3384,CKG,3393,,0,320 319 PN,12978,KMG,3382,CKG,3393,,0,319 PN,12978,KMG,3382,JHG,3381,,0,319 PN,12978,KRL,6407,CKG,3393,,0,319 PN,12978,KWE,3394,CGO,3375,,0,320 PN,12978,KWL,3372,CGO,3375,,0,320 PN,12978,KWL,3372,CKG,3393,,0,320 319 PN,12978,LHW,3378,CKG,3393,,0,320 PN,12978,LHW,3378,URC,3399,,0,320 PN,12978,LJG,4033,CKG,3393,,0,319 320 PN,12978,LXA,4097,CKG,3393,,0,319 320 PN,12978,NGB,3387,CKG,3393,,0,320 PN,12978,NGB,3387,CSX,3371,,0,320 PN,12978,NKG,3388,CKG,3393,,0,320 PN,12978,SHE,4144,HFE,3389,,0,320 PN,12978,SYX,4030,CGO,3375,,0,320 PN,12978,SYX,4030,CKG,3393,,0,320 PN,12978,SZX,3374,CKG,3393,,0,320 PN,12978,TAO,3390,CGO,3375,,0,320 PN,12978,TAO,3390,CKG,3393,,0,320 319 PN,12978,TNA,4108,CKG,3393,,0,320 PN,12978,TSN,3368,CKG,3393,,0,319 PN,12978,TYN,3369,CKG,3393,,0,320 PN,12978,URC,3399,CGO,3375,,0,320 PN,12978,URC,3399,CKG,3393,,0,320 PN,12978,URC,3399,LHW,3378,,0,320 PN,12978,WUH,3376,CKG,3393,,0,320 PN,12978,WUH,3376,FOC,3385,,0,320 PN,12978,XIY,3379,CKG,3393,,0,320 PN,12978,XMN,3383,CKG,3393,,0,319 320 PN,12978,XMN,3383,CSX,3371,,0,319 PN,12978,ZUH,6355,CGO,3375,,0,320 PN,12978,ZUH,6355,CKG,3393,,0,320 PQ,14061,CEB,4206,MNL,2397,,0,320 PQ,14061,DVO,4090,MNL,2397,,0,320 PQ,14061,KLO,2430,MNL,2397,,0,320 PQ,14061,MNL,2397,CEB,4206,,0,320 PQ,14061,MNL,2397,DVO,4090,,0,320 PQ,14061,MNL,2397,KLO,2430,,0,320 PR,3952,AUH,2179,MNL,2397,,0,330 PR,3952,BAH,2057,MNL,2397,Y,0,330 PR,3952,BCD,2423,MNL,2397,,0,320 PR,3952,BKK,3885,MNL,2397,,0,320 330 PR,3952,BNE,3320,DRW,3999,,0,320 PR,3952,BSO,6019,MNL,2397,,0,DH4 PR,3952,BXU,4200,MNL,2397,,0,320 PR,3952,CAN,3370,MNL,2397,Y,0,320 PR,3952,CBO,2399,MNL,2397,,0,320 PR,3952,CEB,4206,HKG,3077,Y,0,330 340 PR,3952,CEB,4206,ICN,3930,,0,321 PR,3952,CEB,4206,MNL,2397,,0,320 PR,3952,CEB,4206,NRT,2279,,0,321 330 PR,3952,CGK,3275,MNL,2397,,0,320 PR,3952,CGY,2400,MNL,2397,,0,320 PR,3952,CRM,6024,MNL,2397,,0,DH4 PR,3952,CYP,6023,MNL,2397,,0,DH4 PR,3952,DGT,2425,MNL,2397,,0,320 PR,3952,DMM,2064,MNL,2397,,0,330 PR,3952,DOH,11051,MNL,2397,,0,330 PR,3952,DPL,4201,MNL,2397,,0,320 PR,3952,DPS,3940,MNL,2397,,0,320 PR,3952,DRW,3999,BNE,3320,,0,320 PR,3952,DRW,3999,MNL,2397,,0,320 PR,3952,DVO,4090,MNL,2397,,0,320 PR,3952,DWC,8076,MNL,2397,,0,330 PR,3952,DXB,2188,MNL,2397,Y,0,77W PR,3952,FUK,2305,MNL,2397,,0,320 PR,3952,GES,2402,MNL,2397,,0,330 PR,3952,GUM,2246,MNL,2397,,0,320 PR,3952,HKG,3077,CEB,4206,Y,0,330 340 PR,3952,HKG,3077,MNL,2397,,0,321 330 PR,3952,HND,2359,MNL,2397,,0,321 330 PR,3952,HNL,3728,MNL,2397,,0,343 PR,3952,ICN,3930,CEB,4206,,0,321 PR,3952,ICN,3930,KLO,2430,,0,320 PR,3952,ICN,3930,MNL,2397,,0,320 330 PR,3952,ILO,2429,MNL,2397,,0,320 PR,3952,JOL,6013,ZAM,2404,,0,DH4 PR,3952,KIX,3992,MNL,2397,,0,330 343 PR,3952,KLO,2430,ICN,3930,,0,320 PR,3952,KLO,2430,MNL,2397,,0,320 PR,3952,KLO,2430,PUS,2372,,0,320 PR,3952,KLO,2430,TPE,2276,,0,320 PR,3952,LAO,4202,MNL,2397,,0,320 PR,3952,LAX,3484,MNL,2397,,0,343 744 PR,3952,LGP,4203,MNL,2397,,0,320 PR,3952,LHR,507,MNL,2397,,0,773 PR,3952,MBT,6025,MNL,2397,,0,DH3 PR,3952,MEL,3339,MNL,2397,,0,343 PR,3952,MFM,3121,MNL,2397,,0,320 PR,3952,MNL,2397,AUH,2179,,0,330 PR,3952,MNL,2397,BAH,2057,Y,0,330 PR,3952,MNL,2397,BCD,2423,,0,320 PR,3952,MNL,2397,BKK,3885,,0,330 320 PR,3952,MNL,2397,BSO,6019,,0,DH4 PR,3952,MNL,2397,BXU,4200,,0,320 PR,3952,MNL,2397,CAN,3370,Y,0,320 PR,3952,MNL,2397,CBO,2399,,0,320 PR,3952,MNL,2397,CEB,4206,,0,320 PR,3952,MNL,2397,CGK,3275,,0,320 PR,3952,MNL,2397,CGY,2400,,0,320 PR,3952,MNL,2397,CRM,6024,,0,DH4 PR,3952,MNL,2397,CYP,6023,,0,DH4 PR,3952,MNL,2397,DGT,2425,,0,320 PR,3952,MNL,2397,DMM,2064,,0,330 PR,3952,MNL,2397,DOH,11051,,0,330 PR,3952,MNL,2397,DPL,4201,,0,320 PR,3952,MNL,2397,DPS,3940,,0,320 PR,3952,MNL,2397,DRW,3999,,0,320 PR,3952,MNL,2397,DVO,4090,,0,320 PR,3952,MNL,2397,DWC,8076,,0,330 PR,3952,MNL,2397,DXB,2188,Y,0,77W PR,3952,MNL,2397,FUK,2305,,0,320 PR,3952,MNL,2397,GES,2402,,0,330 PR,3952,MNL,2397,GUM,2246,,0,320 PR,3952,MNL,2397,HKG,3077,,0,330 321 PR,3952,MNL,2397,HND,2359,,0,330 321 PR,3952,MNL,2397,HNL,3728,,0,343 PR,3952,MNL,2397,ICN,3930,,0,320 330 PR,3952,MNL,2397,ILO,2429,,0,320 PR,3952,MNL,2397,KIX,3992,,0,343 330 PR,3952,MNL,2397,KLO,2430,,0,320 PR,3952,MNL,2397,LAO,4202,,0,320 PR,3952,MNL,2397,LAX,3484,,0,343 744 PR,3952,MNL,2397,LGP,4203,,0,320 PR,3952,MNL,2397,LHR,507,,0,773 PR,3952,MNL,2397,MBT,6025,,0,DH3 PR,3952,MNL,2397,MEL,3339,,0,343 PR,3952,MNL,2397,MFM,3121,,0,320 PR,3952,MNL,2397,MPH,2426,,0,DH3 PR,3952,MNL,2397,NGO,3942,,0,343 PR,3952,MNL,2397,NRT,2279,,0,321 330 773 PR,3952,MNL,2397,OZC,4204,,0,320 PR,3952,MNL,2397,PEK,3364,,0,320 PR,3952,MNL,2397,PPS,2433,,0,320 PR,3952,MNL,2397,PUS,2372,,0,320 PR,3952,MNL,2397,PVG,3406,,0,320 PR,3952,MNL,2397,RUH,2082,,0,330 PR,3952,MNL,2397,RXS,6026,,0,320 PR,3952,MNL,2397,SFO,3469,,0,744 PR,3952,MNL,2397,SGN,3205,,0,321 PR,3952,MNL,2397,SIN,3316,,0,320 319 PR,3952,MNL,2397,SUG,6016,,0,DH4 PR,3952,MNL,2397,SYD,3361,,0,343 PR,3952,MNL,2397,TAC,2422,,0,320 PR,3952,MNL,2397,TAG,3994,,0,320 PR,3952,MNL,2397,TPE,2276,,0,320 PR,3952,MNL,2397,TUG,6021,,0,DH4 PR,3952,MNL,2397,USU,4199,,0,DH4 PR,3952,MNL,2397,WNP,6018,,0,DH4 PR,3952,MNL,2397,XMN,3383,,0,320 PR,3952,MNL,2397,YVR,156,,0,773 PR,3952,MNL,2397,ZAM,2404,,0,320 DH4 PR,3952,MPH,2426,MNL,2397,,0,DH3 PR,3952,NGO,3942,MNL,2397,,0,343 PR,3952,NRT,2279,CEB,4206,,0,321 330 PR,3952,NRT,2279,MNL,2397,,0,330 321 773 PR,3952,OZC,4204,MNL,2397,,0,320 PR,3952,PEK,3364,MNL,2397,,0,320 PR,3952,PPS,2433,MNL,2397,,0,320 PR,3952,PUS,2372,KLO,2430,,0,320 PR,3952,PUS,2372,MNL,2397,,0,320 PR,3952,PVG,3406,MNL,2397,,0,320 PR,3952,RUH,2082,MNL,2397,,0,330 PR,3952,RXS,6026,MNL,2397,,0,320 PR,3952,SFO,3469,MNL,2397,,0,744 PR,3952,SGN,3205,MNL,2397,,0,321 PR,3952,SIN,3316,MNL,2397,,0,319 320 PR,3952,SUG,6016,MNL,2397,,0,DH4 PR,3952,SYD,3361,MNL,2397,,0,343 PR,3952,TAC,2422,MNL,2397,,0,320 PR,3952,TAG,3994,MNL,2397,,0,320 PR,3952,TPE,2276,KLO,2430,,0,320 PR,3952,TPE,2276,MNL,2397,,0,320 PR,3952,TUG,6021,MNL,2397,,0,DH4 PR,3952,USU,4199,MNL,2397,,0,DH4 PR,3952,WNP,6018,MNL,2397,,0,DH4 PR,3952,XMN,3383,MNL,2397,,0,320 PR,3952,YVR,156,MNL,2397,,0,773 PR,3952,YVR,156,YYZ,193,,0,773 PR,3952,YYZ,193,YVR,156,,0,773 PR,3952,ZAM,2404,JOL,6013,,0,DH4 PR,3952,ZAM,2404,MNL,2397,,0,320 DH4 PS,5282,ALA,2908,KBP,2939,,0,73J PS,5282,AMS,580,KBP,2939,,0,73R PS,5282,ATH,3941,KBP,2939,,0,734 73N PS,5282,BCN,1218,KBP,2939,,0,73J PS,5282,BKK,3885,KBP,2939,,0,763 PS,5282,BRU,302,KBP,2939,,0,E90 PS,5282,CDG,1382,KBP,2939,,0,73H PS,5282,DME,4029,KBP,2939,,0,734 738 E90 PS,5282,DME,4029,ODS,2947,Y,0,319 PS,5282,DNK,2941,IST,1701,,0,320 PS,5282,DNK,2941,KBP,2939,,0,73N ER4 735 PS,5282,DNK,2941,TLV,1590,,0,734 73G PS,5282,DOK,2940,IST,1701,,0,738 PS,5282,DOK,2940,KBP,2939,,0,734 736 PS,5282,DOK,2940,LCA,1197,,0,737 PS,5282,DOK,2940,TLV,1590,,0,734 PS,5282,DXB,2188,KBP,2939,,0,738 73J 73N PS,5282,EVN,3964,KBP,2939,,0,735 734 73G PS,5282,FCO,1555,KBP,2939,,0,73R 73N 734 PS,5282,FRA,340,KBP,2939,,0,738 PS,5282,GVA,1665,KBP,2939,,0,E90 PS,5282,GYD,2922,KBP,2939,,0,737 PS,5282,HEL,421,KBP,2939,,0,735 E90 PS,5282,HER,1452,KBP,2939,,0,737 PS,5282,HRK,6105,KBP,2939,,0,735 PS,5282,HRK,6105,LCA,1197,,0,737 PS,5282,HRK,6105,VIE,1613,Y,0,F70 PS,5282,IFO,6106,KBP,2939,,0,ER4 PS,5282,IST,1701,DNK,2941,,0,320 PS,5282,IST,1701,DOK,2940,,0,738 PS,5282,IST,1701,KBP,2939,,0,73R 738 735 PS,5282,IST,1701,ODS,2947,,0,320 734 738 PS,5282,JFK,3797,KBP,2939,,0,767 PS,5282,KBP,2939,ALA,2908,,0,73J PS,5282,KBP,2939,AMS,580,,0,73R PS,5282,KBP,2939,ATH,3941,,0,73N 734 PS,5282,KBP,2939,BCN,1218,,0,73J PS,5282,KBP,2939,BKK,3885,,0,763 PS,5282,KBP,2939,BRU,302,,0,E90 PS,5282,KBP,2939,CDG,1382,,0,73H PS,5282,KBP,2939,DME,4029,,0,738 734 E90 PS,5282,KBP,2939,DNK,2941,,0,ER4 73N 735 PS,5282,KBP,2939,DOK,2940,,0,734 736 PS,5282,KBP,2939,DXB,2188,,0,73J 738 73N PS,5282,KBP,2939,EVN,3964,,0,734 73G 735 PS,5282,KBP,2939,FCO,1555,,0,73R 73N 734 PS,5282,KBP,2939,FRA,340,,0,738 PS,5282,KBP,2939,GVA,1665,,0,E90 PS,5282,KBP,2939,GYD,2922,,0,737 PS,5282,KBP,2939,HEL,421,,0,735 E90 PS,5282,KBP,2939,HER,1452,,0,737 PS,5282,KBP,2939,HRK,6105,,0,735 PS,5282,KBP,2939,IFO,6106,,0,ER4 PS,5282,KBP,2939,IST,1701,,0,735 738 73R PS,5282,KBP,2939,JFK,3797,,0,767 PS,5282,KBP,2939,KGD,2952,,0,73G 735 PS,5282,KBP,2939,LCA,1197,,0,73J PS,5282,KBP,2939,LED,2948,,0,734 735 73N PS,5282,KBP,2939,LGW,502,,0,73H E90 735 73N PS,5282,KBP,2939,LIS,1638,,0,738 PS,5282,KBP,2939,LWO,2945,,0,735 736 E90 PS,5282,KBP,2939,MAD,1229,,0,738 73G PS,5282,KBP,2939,MSQ,2954,,0,737 PS,5282,KBP,2939,MUC,346,,0,734 PS,5282,KBP,2939,MXP,1524,,0,73N 73R PS,5282,KBP,2939,NCE,1354,,0,73N PS,5282,KBP,2939,ODS,2947,,0,735 738 PS,5282,KBP,2939,OVB,4078,,0,738 PS,5282,KBP,2939,PRG,1587,,0,736 PS,5282,KBP,2939,RHO,1472,,0,737 PS,5282,KBP,2939,RIX,3953,Y,0,DH4 PS,5282,KBP,2939,ROV,2964,,0,73J PS,5282,KBP,2939,SAW,4317,,0,738 PS,5282,KBP,2939,SVX,2975,,0,73N PS,5282,KBP,2939,TBS,3973,,0,735 73R 73G 734 PS,5282,KBP,2939,TFS,1056,,0,737 PS,5282,KBP,2939,TLV,1590,,0,738 73H PS,5282,KBP,2939,TSE,2910,,0,73J PS,5282,KBP,2939,TXL,351,,0,735 PS,5282,KBP,2939,VIE,1613,,0,E90 73G 735 PS,5282,KBP,2939,VNO,3959,,0,73G 735 E90 PS,5282,KBP,2939,WAW,679,,0,73G PS,5282,KBP,2939,ZRH,1678,,0,73N 320 735 PS,5282,KGD,2952,KBP,2939,,0,73G 735 PS,5282,LCA,1197,DOK,2940,,0,737 PS,5282,LCA,1197,KBP,2939,,0,73J PS,5282,LCA,1197,LWO,2945,,0,737 PS,5282,LCA,1197,ODS,2947,,0,737 PS,5282,LED,2948,KBP,2939,,0,E90 734 735 73N PS,5282,LGW,502,KBP,2939,,0,73N 73H E90 735 PS,5282,LIS,1638,KBP,2939,,0,738 PS,5282,LWO,2945,KBP,2939,,0,E90 735 736 PS,5282,LWO,2945,LCA,1197,,0,737 PS,5282,LWO,2945,VIE,1613,Y,0,F70 PS,5282,MAD,1229,KBP,2939,,0,738 73G PS,5282,MSQ,2954,KBP,2939,,0,737 PS,5282,MUC,346,KBP,2939,,0,734 PS,5282,MXP,1524,KBP,2939,,0,73N 73R PS,5282,NCE,1354,KBP,2939,,0,73N PS,5282,ODS,2947,DME,4029,Y,0,319 PS,5282,ODS,2947,IST,1701,,0,320 734 738 PS,5282,ODS,2947,KBP,2939,,0,738 735 PS,5282,ODS,2947,LCA,1197,,0,737 PS,5282,ODS,2947,TLV,1590,,0,738 PS,5282,ODS,2947,VIE,1613,,0,E90 PS,5282,OVB,4078,KBP,2939,,0,738 PS,5282,PRG,1587,KBP,2939,,0,736 PS,5282,RHO,1472,KBP,2939,,0,737 PS,5282,RIX,3953,KBP,2939,Y,0,DH4 PS,5282,ROV,2964,KBP,2939,,0,73J PS,5282,SAW,4317,KBP,2939,,0,738 PS,5282,SVX,2975,KBP,2939,,0,73G 73N PS,5282,TBS,3973,KBP,2939,,0,73R 735 73G 734 PS,5282,TFS,1056,KBP,2939,,0,737 PS,5282,TLV,1590,DNK,2941,,0,734 73G PS,5282,TLV,1590,DOK,2940,,0,734 PS,5282,TLV,1590,KBP,2939,,0,73H 738 PS,5282,TLV,1590,ODS,2947,,0,738 PS,5282,TSE,2910,KBP,2939,,0,73J PS,5282,TXL,351,KBP,2939,,0,735 PS,5282,VIE,1613,HRK,6105,Y,0,F70 PS,5282,VIE,1613,KBP,2939,,0,E90 73G 735 PS,5282,VIE,1613,LWO,2945,Y,0,DH4 PS,5282,VIE,1613,ODS,2947,,0,E90 PS,5282,VNO,3959,KBP,2939,,0,735 73G E90 PS,5282,WAW,679,KBP,2939,,0,73G PS,5282,ZRH,1678,KBP,2939,,0,320 73N 735 PV,3834,ANU,2874,SBH,6460,,0,BNT PV,3834,SBH,6460,ANU,2874,,0,BNT PV,3834,SBH,6460,SFG,2879,,0,BNT PV,3834,SBH,6460,SXM,2899,,0,CNC BNT PV,3834,SFG,2879,SBH,6460,,0,BNT PV,3834,SXM,2899,SBH,6460,,0,CNC BNT PW,4031,ARK,1176,ZNZ,1186,,0,AT4 AT7 PW,4031,BKZ,5703,MWZ,1183,,0,AT5 PW,4031,DAR,1177,ARK,1176,,0,AT4 AT7 PW,4031,DAR,1177,EBB,1187,,0,CRJ PW,4031,DAR,1177,HAH,912,,0,AT7 PW,4031,DAR,1177,JRO,1180,,0,AT7 AT4 PW,4031,DAR,1177,MBI,9829,,0,AT7 PW,4031,DAR,1177,MWZ,1183,,0,AT7 AT5 PW,4031,DAR,1177,MYW,1182,,0,AT4 AT7 PW,4031,DAR,1177,NBO,4059,,0,E90 PW,4031,DAR,1177,ZNZ,1186,,0,AT7 AT4 PW,4031,EBB,1187,DAR,1177,,0,CRJ PW,4031,EBB,1187,JRO,1180,,0,CRJ AT4 PW,4031,HAH,912,DAR,1177,,0,AT7 PW,4031,JRO,1180,DAR,1177,,0,AT7 AT4 PW,4031,JRO,1180,EBB,1187,,0,CRJ AT4 PW,4031,JRO,1180,MWZ,1183,,0,AT7 PW,4031,JRO,1180,NBO,4059,,0,AT7 E70 PW,4031,JRO,1180,ZNZ,1186,,0,AT7 AT4 PW,4031,MBI,9829,DAR,1177,,0,AT7 PW,4031,MWZ,1183,BKZ,5703,,0,AT5 PW,4031,MWZ,1183,DAR,1177,,0,AT7 AT5 PW,4031,MWZ,1183,JRO,1180,,0,AT7 PW,4031,MWZ,1183,NBO,4059,,0,AT5 PW,4031,MYW,1182,DAR,1177,,0,AT4 AT7 PW,4031,NBO,4059,DAR,1177,,0,E90 PW,4031,NBO,4059,JRO,1180,,0,AT7 E70 PW,4031,NBO,4059,MWZ,1183,,0,AT5 PW,4031,NBO,4059,ZNZ,1186,,0,AT7 PW,4031,ZNZ,1186,DAR,1177,,0,AT7 AT4 PW,4031,ZNZ,1186,NBO,4059,,0,AT7 PX,328,BNE,3320,POM,5,,0,763 738 PX,328,BUA,5419,LNV,5979,,0,DH8 PX,328,BUA,5419,POM,5,,0,100 PX,328,BUA,5419,RAB,5435,,0,100 DH8 PX,328,BUL,\N,POM,5,,0,DH8 PX,328,CEB,4206,POM,5,,0,738 PX,328,CMU,5420,POM,5,,0,DH8 PX,328,CNS,3322,POM,5,,0,DH4 PX,328,CNS,3322,RAB,5435,,0,DH4 PX,328,DAU,5421,POM,5,,0,DH4 DH3 PX,328,DPS,3940,POM,5,,0,738 PX,328,GKA,1,POM,5,,0,DH4 DH8 DH3 PX,328,GUR,5422,MIS,5432,,0,DH8 PX,328,GUR,5422,POM,5,,0,DH3 DH4 DH8 PX,328,HGU,3,POM,5,,0,100 PX,328,HGU,3,WWK,6,,0,100 PX,328,HIR,4074,NAN,1960,,0,737 PX,328,HIR,4074,POM,5,,0,737 DH4 PX,328,HKG,3077,POM,5,,0,763 PX,328,HKN,5424,LAE,4,,0,DH4 PX,328,HKN,5424,POM,5,,0,DH4 PX,328,HKN,5424,RAB,5435,,0,DH4 PX,328,KVG,5428,MAS,5430,,0,100 PX,328,KVG,5428,POM,5,,0,100 DH4 PX,328,KVG,5428,RAB,5435,,0,100 PX,328,LAE,4,HKN,5424,,0,DH4 PX,328,LAE,4,POM,5,,0,100 DH4 PX,328,LNV,5979,POM,5,,0,DH3 DH8 PX,328,LNV,5979,RAB,5435,,0,DH3 PX,328,MAG,2,MAS,5430,,0,100 PX,328,MAG,2,POM,5,,0,DH4 100 PX,328,MAG,2,VAI,5436,,0,DH4 PX,328,MAG,2,WWK,6,,0,100 DH4 PX,328,MAS,5430,KVG,5428,,0,100 PX,328,MAS,5430,MAG,2,,0,100 PX,328,MAS,5430,POM,5,,0,100 737 PX,328,MAS,5430,RAB,5435,,0,100 PX,328,MDU,5429,POM,5,,0,DH8 PX,328,MIS,5432,BUA,5419,,0,DH8 PX,328,MNL,2397,POM,5,,0,738 PX,328,MXH,5431,HGU,3,,0,DH3 PX,328,NAN,1960,HIR,4074,,0,737 PX,328,NAN,1960,POM,5,,0,737 PX,328,NRT,2279,POM,5,,0,738 PX,328,PNP,5423,POM,5,,0,DH3 DH4 DH8 PX,328,POM,5,BNE,3320,,0,763 738 PX,328,POM,5,BUA,5419,,0,100 PX,328,POM,5,CEB,4206,,0,738 PX,328,POM,5,CMU,5420,,0,DH8 PX,328,POM,5,CNS,3322,,0,DH4 PX,328,POM,5,DAU,5421,,0,DH4 DH3 PX,328,POM,5,DPS,3940,,0,738 PX,328,POM,5,GKA,1,,0,DH4 DH8 DH3 PX,328,POM,5,GUR,5422,,0,DH3 DH4 DH8 PX,328,POM,5,HGU,3,,0,100 PX,328,POM,5,HIR,4074,,0,DH4 737 PX,328,POM,5,HKG,3077,,0,763 PX,328,POM,5,HKN,5424,,0,DH4 PX,328,POM,5,KVG,5428,,0,DH4 100 PX,328,POM,5,LAE,4,,0,100 DH4 PX,328,POM,5,LNV,5979,,0,DH8 DH3 PX,328,POM,5,MAG,2,,0,100 DH4 PX,328,POM,5,MAS,5430,,0,100 737 PX,328,POM,5,MDU,5429,,0,DH8 PX,328,POM,5,MNL,2397,,0,738 PX,328,POM,5,NAN,1960,,0,737 PX,328,POM,5,NRT,2279,,0,738 PX,328,POM,5,PNP,5423,,0,DH3 DH4 DH8 PX,328,POM,5,RAB,5435,,0,100 DH4 PX,328,POM,5,SIN,3316,,0,763 738 PX,328,POM,5,SYD,3361,,0,738 PX,328,POM,5,TBG,5434,,0,DH3 PX,328,POM,5,TIZ,5433,,0,DH8 DH3 PX,328,POM,5,UNG,5425,,0,DH8 DH3 PX,328,POM,5,VAI,5436,,0,DH4 PX,328,POM,5,WBM,5437,,0,DH8 PX,328,POM,5,WWK,6,,0,100 DH4 PX,328,RAB,5435,BUA,5419,,0,100 PX,328,RAB,5435,CNS,3322,,0,DH4 PX,328,RAB,5435,HKN,5424,,0,DH4 PX,328,RAB,5435,KVG,5428,,0,100 PX,328,RAB,5435,LNV,5979,,0,DH3 DH8 PX,328,RAB,5435,MAS,5430,,0,100 PX,328,RAB,5435,POM,5,,0,100 DH4 PX,328,SIN,3316,POM,5,,0,763 738 PX,328,SYD,3361,POM,5,,0,738 PX,328,TBG,5434,POM,5,,0,DH3 PX,328,TIZ,5433,POM,5,,0,DH8 DH3 PX,328,UNG,5425,POM,5,,0,DH8 DH3 PX,328,VAI,5436,MAG,2,,0,DH4 PX,328,VAI,5436,POM,5,,0,DH4 PX,328,VAI,5436,WWK,6,,0,DH4 PX,328,WBM,5437,POM,5,,0,DH8 PX,328,WWK,6,HGU,3,,0,100 PX,328,WWK,6,MAG,2,,0,100 DH4 PX,328,WWK,6,POM,5,,0,100 DH4 PX,328,WWK,6,VAI,5436,,0,DH4 PY,4752,AMS,580,PBM,2773,,0,343 PY,4752,AUA,2895,MIA,3576,,0,733 PY,4752,AUA,2895,PBM,2773,,0,733 PY,4752,BEL,2526,CAY,2774,,0,733 PY,4752,BEL,2526,PBM,2773,,0,733 PY,4752,CAY,2774,BEL,2526,,0,733 PY,4752,CAY,2774,PBM,2773,,0,733 PY,4752,CUR,2897,POS,2902,,0,733 PY,4752,GEO,4304,MIA,3576,,0,733 PY,4752,GEO,4304,PBM,2773,,0,733 PY,4752,MIA,3576,AUA,2895,,0,733 PY,4752,MIA,3576,GEO,4304,,0,733 PY,4752,PBM,2773,AMS,580,,0,343 PY,4752,PBM,2773,AUA,2895,,0,733 PY,4752,PBM,2773,BEL,2526,,0,733 PY,4752,PBM,2773,CAY,2774,,0,733 PY,4752,PBM,2773,GEO,4304,,0,733 PY,4752,PBM,2773,POS,2902,,0,733 PY,4752,POS,2902,CUR,2897,,0,733 PY,4752,POS,2902,PBM,2773,,0,733 PZ,5156,AGT,4305,ASU,2699,,0,320 PZ,5156,AGT,4305,GRU,2564,,0,320 PZ,5156,ASU,2699,AGT,4305,,0,320 PZ,5156,ASU,2699,EZE,3988,,0,320 PZ,5156,ASU,2699,GRU,2564,,0,320 PZ,5156,ASU,2699,SCL,2650,,0,320 PZ,5156,ASU,2699,VVI,2771,,0,320 PZ,5156,EZE,3988,ASU,2699,,0,320 PZ,5156,EZE,3988,GIG,2560,,0,320 PZ,5156,EZE,3988,GRU,2564,,0,320 PZ,5156,GIG,2560,EZE,3988,,0,320 PZ,5156,GRU,2564,AGT,4305,,0,320 PZ,5156,GRU,2564,ASU,2699,,0,320 PZ,5156,GRU,2564,EZE,3988,,0,320 PZ,5156,GRU,2564,MVD,2816,,0,320 PZ,5156,MVD,2816,GRU,2564,,0,320 PZ,5156,SCL,2650,ASU,2699,,0,320 PZ,5156,VVI,2771,ASU,2699,,0,320 Q2,13108,CMB,3024,GAN,6183,,0,320 Q2,13108,CMB,3024,MLE,3156,,0,320 Q2,13108,DAC,3076,MAA,3144,,0,320 Q2,13108,DRV,11257,HAQ,6184,,0,DH3 DH2 Q2,13108,DRV,11257,MLE,3156,,0,DH3 DH2 Q2,13108,FVM,10119,MLE,3156,,0,DH2 Q2,13108,GAN,6183,CMB,3024,,0,320 Q2,13108,GAN,6183,KDM,4235,,0,DH3 Q2,13108,GAN,6183,MLE,3156,,0,DH3 320 Q2,13108,GKK,8892,KDO,6185,,0,DH2 DH3 Q2,13108,GKK,8892,MLE,3156,,0,DH2 Q2,13108,HAQ,6184,DRV,11257,,0,DH3 DH2 Q2,13108,HAQ,6184,TRV,3153,,0,DH8 Q2,13108,KDM,4235,GAN,6183,,0,DH3 Q2,13108,KDM,4235,MLE,3156,,0,DH3 DH2 Q2,13108,KDO,6185,GKK,8892,,0,DH2 Q2,13108,KDO,6185,MLE,3156,,0,DH2 DH3 Q2,13108,MAA,3144,DAC,3076,,0,320 Q2,13108,MAA,3144,MLE,3156,,0,320 Q2,13108,MLE,3156,CMB,3024,,0,320 Q2,13108,MLE,3156,DRV,11257,,0,DH3 DH2 Q2,13108,MLE,3156,FVM,10119,,0,DH2 Q2,13108,MLE,3156,GAN,6183,,0,DH3 320 Q2,13108,MLE,3156,GKK,8892,,0,DH2 Q2,13108,MLE,3156,KDM,4235,,0,DH2 DH3 Q2,13108,MLE,3156,KDO,6185,,0,DH2 Q2,13108,MLE,3156,MAA,3144,,0,320 Q2,13108,MLE,3156,TRV,3153,,0,DH8 320 Q2,13108,TRV,3153,HAQ,6184,,0,DH8 Q2,13108,TRV,3153,MLE,3156,,0,DH8 320 Q3,18700,AXA,2900,SXM,2899,,0,BNI Q3,18700,SXM,2899,AXA,2900,,0,BNI Q5,10,CKX,\N,TKJ,7235,,0,CNA Q5,10,FAI,3832,HKB,7242,,0,CNA Q5,10,HKB,7242,FAI,3832,,0,CNA Q5,10,TKJ,7235,CKX,\N,,0,CNA Q6,753,ABM,3318,CNS,3322,,0,DH1 Q6,753,AUU,6237,CNS,3322,,0,DH1 Q6,753,AUU,6237,CUQ,6260,,0,DH1 Q6,753,BEU,6243,BQL,6248,,0,DH1 Q6,753,BEU,6243,BVI,6240,,0,DH1 Q6,753,BNE,3320,RMA,6324,,0,DH3 Q6,753,BNE,3320,TWB,7128,,0,DH1 Q6,753,BQL,6248,BEU,6243,,0,DH1 Q6,753,BQL,6248,ISA,3324,,0,DH1 Q6,753,BUC,6245,DMD,6262,,0,DH1 Q6,753,BUC,6245,ONG,6304,,0,DH1 Q6,753,BVI,6240,BEU,6243,,0,DH1 Q6,753,BVI,6240,WNR,6333,,0,DH1 Q6,753,CMA,6258,SGO,6325,,0,DH1 Q6,753,CMA,6258,XTG,6329,,0,DH1 Q6,753,CNS,3322,ABM,3318,,0,DH1 Q6,753,CNS,3322,AUU,6237,,0,DH1 Q6,753,CNS,3322,CUQ,6260,,0,DH1 Q6,753,CNS,3322,EDR,6319,,0,DH1 Q6,753,CNS,3322,IRG,6286,,0,DH1 Q6,753,CNS,3322,ISA,3324,,0,DH1 Q6,753,CNS,3322,KWM,6281,,0,DH1 Q6,753,CNS,3322,NTN,6309,,0,DH1 Q6,753,CNS,3322,WEI,3331,,0,DH1 Q6,753,CTL,3323,TWB,7128,,0,DH1 Q6,753,CTL,3323,ULP,6322,,0,DH1 Q6,753,CUQ,6260,IRG,6286,,0,DH1 Q6,753,DMD,6262,BUC,6245,,0,DH1 Q6,753,DMD,6262,ISA,3324,,0,DH1 Q6,753,DMD,6262,ONG,6304,,0,DH1 Q6,753,EDR,6319,CNS,3322,,0,DH1 Q6,753,EDR,6319,KWM,6281,,0,DH1 Q6,753,IRG,6286,AUU,6237,,0,DH1 Q6,753,IRG,6286,CNS,3322,,0,DH1 Q6,753,ISA,3324,BQL,6248,,0,DH1 Q6,753,ISA,3324,CNS,3322,,0,DH1 Q6,753,ISA,3324,DMD,6262,,0,DH1 Q6,753,KWM,6281,CNS,3322,,0,DH1 Q6,753,KWM,6281,EDR,6319,,0,DH1 Q6,753,NTN,6309,CNS,3322,,0,DH1 Q6,753,NTN,6309,ONG,6304,,0,DH1 Q6,753,ONG,6304,BUC,6245,,0,DH1 Q6,753,ONG,6304,DMD,6262,,0,DH1 Q6,753,ONG,6304,NTN,6309,,0,DH1 Q6,753,RMA,6324,BNE,3320,,0,DH3 Q6,753,SGO,6325,CMA,6258,,0,DH1 Q6,753,SGO,6325,TWB,7128,,0,DH1 Q6,753,SYD,3361,TWB,7128,,0,DH3 Q6,753,TWB,7128,BNE,3320,,0,DH1 Q6,753,TWB,7128,CTL,3323,,0,DH1 Q6,753,TWB,7128,SGO,6325,,0,DH1 Q6,753,TWB,7128,SYD,3361,,0,DH3 Q6,753,ULP,6322,CTL,3323,,0,DH1 Q6,753,ULP,6322,WNR,6333,,0,DH1 Q6,753,WEI,3331,CNS,3322,,0,DH1 Q6,753,WNR,6333,BVI,6240,,0,DH1 Q6,753,WNR,6333,ULP,6322,,0,DH1 Q6,753,XTG,6329,CMA,6258,,0,DH1 Q7,20686,ATC,5857,NAS,1953,,0,SF3 Q7,20686,ATC,5857,TBI,\N,,0,SF3 Q7,20686,FLL,3533,MHH,1930,,0,SF3 Q7,20686,FPO,1948,NAS,1953,,0,SF3 Q7,20686,GGT,1941,NAS,1953,,0,SF3 Q7,20686,MHH,1930,FLL,3533,,0,SF3 Q7,20686,MHH,1930,NAS,1953,,0,SF3 Q7,20686,NAS,1953,ATC,5857,,0,SF3 Q7,20686,NAS,1953,FPO,1948,,0,SF3 Q7,20686,NAS,1953,GGT,1941,,0,SF3 Q7,20686,NAS,1953,MHH,1930,,0,SF3 Q7,20686,NAS,1953,TBI,\N,,0,SF3 Q7,20686,TBI,\N,ATC,5857,,0,SF3 Q7,20686,TBI,\N,NAS,1953,,0,SF3 Q8,3857,BZV,883,COO,245,,0,732 Q8,3857,BZV,883,LBV,970,,0,732 Q8,3857,BZV,883,PNR,886,,0,732 733 Q8,3857,COO,245,BZV,883,,0,732 Q8,3857,COO,245,LBV,970,,0,732 733 Q8,3857,COO,245,PNR,886,,0,732 Q8,3857,DLA,897,PNR,886,,0,732 733 Q8,3857,LBV,970,BZV,883,,0,732 Q8,3857,LBV,970,COO,245,,0,732 733 Q8,3857,LBV,970,PNR,886,,0,733 Q8,3857,PNR,886,BZV,883,,0,732 733 Q8,3857,PNR,886,COO,245,,0,732 Q8,3857,PNR,886,DLA,897,,0,732 Q8,3857,PNR,886,LBV,970,,0,733 Q9,11838,YBC,27,YQB,111,,0,BEH Q9,11838,YBC,27,YYY,192,,0,BEH Q9,11838,YGV,7255,YPN,106,,0,PAG Q9,11838,YGV,7255,YZV,202,,0,BE1 Q9,11838,YIF,6789,ZGS,\N,,0,BEH Q9,11838,YNA,94,YZV,202,,0,BEH Q9,11838,YNA,94,ZGS,\N,,0,BEH Q9,11838,YPN,106,YGV,7255,,0,PAG Q9,11838,YPN,106,YZV,202,,0,PAG Q9,11838,YQB,111,YBC,27,,0,BEH Q9,11838,YQB,111,YZV,202,,0,BEH Q9,11838,YWK,161,YYY,192,,0,BEH Q9,11838,YWK,161,YZV,202,,0,BEH Q9,11838,YYY,192,YBC,27,,0,BEH Q9,11838,YYY,192,YWK,161,,0,BEH Q9,11838,YYY,192,YZV,202,,0,BEH Q9,11838,YZV,202,YGV,7255,,0,BE1 Q9,11838,YZV,202,YNA,94,,0,BEH Q9,11838,YZV,202,YPN,106,,0,PAG Q9,11838,YZV,202,YQB,111,,0,BEH Q9,11838,YZV,202,YWK,161,,0,BEH Q9,11838,YZV,202,YYY,192,,0,BEH Q9,11838,ZGS,\N,YIF,6789,,0,BEH Q9,11838,ZGS,\N,YNA,94,,0,BEH QB,2541,BND,2134,KIH,2109,,0,F50 QB,2541,DXB,2188,GSM,5712,,0,F50 QB,2541,GSM,5712,DXB,2188,,0,F50 QB,2541,GSM,5712,KIH,2109,,0,F50 QB,2541,GSM,5712,SYZ,2157,,0,F50 QB,2541,KIH,2109,BND,2134,,0,F50 QB,2541,KIH,2109,GSM,5712,,0,F50 QB,2541,KIH,2109,SYZ,2157,,0,F50 QB,2541,SXI,\N,SYZ,2157,,0,F50 QB,2541,SYZ,2157,GSM,5712,,0,F50 QB,2541,SYZ,2157,KIH,2109,,0,F50 QB,2541,SYZ,2157,SXI,\N,,0,F50 QC,16415,ABJ,253,LOS,273,,0,737 QC,16415,BZV,883,FIH,1020,,0,737 QC,16415,CDG,1382,NSI,4161,,0,767 QC,16415,COO,245,DLA,897,,0,737 QC,16415,DLA,897,BZV,883,,0,737 QC,16415,DLA,897,COO,245,,0,737 QC,16415,DLA,897,GOU,901,,0,737 QC,16415,DLA,897,LBV,970,,0,737 QC,16415,DLA,897,LOS,273,,0,737 QC,16415,DLA,897,MVR,898,,0,737 QC,16415,DLA,897,NDJ,999,,0,737 QC,16415,DLA,897,NSI,4161,,0,737 767 QC,16415,FIH,1020,DLA,897,,0,737 QC,16415,GOU,901,NDJ,999,,0,737 QC,16415,GOU,901,NSI,4161,,0,737 QC,16415,LBV,970,DLA,897,,0,737 QC,16415,LOS,273,ABJ,253,,0,737 QC,16415,LOS,273,DLA,897,,0,737 QC,16415,MVR,898,NSI,4161,,0,737 QC,16415,NDJ,999,NGE,900,,0,737 QC,16415,NDJ,999,NSI,4161,,0,737 QC,16415,NGE,900,NSI,4161,,0,737 QC,16415,NSI,4161,CDG,1382,,0,767 QC,16415,NSI,4161,DLA,897,,0,767 737 QC,16415,NSI,4161,GOU,901,,0,737 QF,4089,ABX,3333,SYD,3361,Y,0,DH3 DH4 QF,4089,ADL,3341,ASP,3319,,0,73H QF,4089,ADL,3341,BNE,3320,,0,73H QF,4089,ADL,3341,CBR,3355,,0,73H QF,4089,ADL,3341,DRW,3999,,0,73H QF,4089,ADL,3341,DXB,2188,Y,0,77W QF,4089,ADL,3341,KGI,3346,Y,0,717 QF,4089,ADL,3341,MEL,3339,,0,73H QF,4089,ADL,3341,OLP,6311,Y,0,F50 QF,4089,ADL,3341,PER,3351,,0,73H QF,4089,ADL,3341,PLO,6318,Y,0,DH4 QF,4089,ADL,3341,SYD,3361,,0,73H 717 QF,4089,AKL,2006,BNE,3320,Y,0,73H 388 QF,4089,AKL,2006,MEL,3339,,0,73H QF,4089,AKL,2006,NAN,1960,Y,0,73W 73H 332 QF,4089,AKL,2006,PPT,4075,,0,343 QF,4089,AKL,2006,SCL,2650,Y,0,343 QF,4089,AKL,2006,SYD,3361,,0,73H QF,4089,AMM,2170,DXB,2188,Y,0,773 77W QF,4089,ARM,4062,SYD,3361,Y,0,DH3 DH8 QF,4089,ARN,737,DXB,2188,Y,0,77W QF,4089,ASP,3319,ADL,3341,,0,73H QF,4089,ASP,3319,AYQ,4010,Y,0,717 QF,4089,ASP,3319,BNE,3320,Y,0,717 QF,4089,ASP,3319,CNS,3322,Y,0,717 QF,4089,ASP,3319,DRW,3999,Y,0,717 QF,4089,ASP,3319,MEL,3339,,0,73H QF,4089,ASP,3319,PER,3351,Y,0,717 QF,4089,ASP,3319,SYD,3361,,0,73H QF,4089,ATL,3682,DFW,3670,Y,0,M80 319 M83 QF,4089,ATL,3682,ORD,3830,Y,0,E75 CR7 QF,4089,AYQ,4010,ASP,3319,Y,0,717 QF,4089,AYQ,4010,CNS,3322,Y,0,717 QF,4089,BAH,2057,DXB,2188,Y,0,332 772 773 QF,4089,BCI,6238,LRE,6289,Y,0,DH3 DH4 QF,4089,BDB,4218,BNE,3320,Y,0,DH3 DH4 QF,4089,BHX,469,DXB,2188,Y,0,77W QF,4089,BKK,3885,CEI,3932,Y,0,320 QF,4089,BKK,3885,DXB,2188,Y,0,77W 388 QF,4089,BKK,3885,KBV,3174,Y,0,320 319 QF,4089,BKK,3885,SYD,3361,,0,333 QF,4089,BKQ,4217,LRE,6289,Y,0,DH4 QF,4089,BME,4319,BNE,3320,,0,73H QF,4089,BME,4319,DRW,3999,Y,0,E70 QF,4089,BME,4319,KNX,3347,Y,0,E70 QF,4089,BME,4319,KTA,3345,Y,0,E70 QF,4089,BME,4319,MEL,3339,,0,73H QF,4089,BME,4319,PER,3351,,0,73H QF,4089,BME,4319,SYD,3361,,0,73H QF,4089,BNE,3320,ADL,3341,,0,73H QF,4089,BNE,3320,AKL,2006,Y,0,388 73H QF,4089,BNE,3320,ASP,3319,Y,0,717 QF,4089,BNE,3320,BCI,6238,Y,0,DH3 DH4 QF,4089,BNE,3320,BDB,4218,Y,0,DH3 DH4 QF,4089,BNE,3320,BKQ,4217,Y,0,DH4 QF,4089,BNE,3320,BME,4319,,0,73H QF,4089,BNE,3320,CBR,3355,,0,717 73H QF,4089,BNE,3320,CNS,3322,,0,73H QF,4089,BNE,3320,CTL,3323,Y,0,DH3 DH8 QF,4089,BNE,3320,DRW,3999,,0,763 73H QF,4089,BNE,3320,DXB,2188,Y,0,388 QF,4089,BNE,3320,EMD,3990,,0,DH4 DH3 QF,4089,BNE,3320,GLT,6269,Y,0,DH4 717 DH3 QF,4089,BNE,3320,HKG,3077,,0,333 QF,4089,BNE,3320,HVB,4052,Y,0,DH3 DH4 DH8 QF,4089,BNE,3320,ISA,3324,,0,73H QF,4089,BNE,3320,KTA,3345,,0,73H QF,4089,BNE,3320,LAX,3484,,0,744 QF,4089,BNE,3320,LDH,6285,Y,0,DH8 QF,4089,BNE,3320,LRE,6289,Y,0,DH4 QF,4089,BNE,3320,MEL,3339,,0,73H 763 QF,4089,BNE,3320,MKY,3326,,0,100 DH4 QF,4089,BNE,3320,MOV,6301,Y,0,DH4 DH3 QF,4089,BNE,3320,NAN,1960,Y,0,73H 73W QF,4089,BNE,3320,NOU,2005,,0,73H QF,4089,BNE,3320,NTL,4320,Y,0,DH3 DH8 QF,4089,BNE,3320,PER,3351,,0,332 333 763 73H QF,4089,BNE,3320,PHE,3349,,0,73H QF,4089,BNE,3320,POM,5,Y,0,763 738 QF,4089,BNE,3320,PQQ,6320,,0,DH4 QF,4089,BNE,3320,RMA,6324,Y,0,DH4 DH3 QF,4089,BNE,3320,ROK,3329,,0,DH4 DH3 DH8 QF,4089,BNE,3320,SIN,3316,,0,744 QF,4089,BNE,3320,SON,5908,Y,0,73H QF,4089,BNE,3320,SYD,3361,,0,333 73H 744 763 QF,4089,BNE,3320,TSV,3330,,0,73H QF,4089,BNE,3320,VLI,1997,Y,0,73H QF,4089,BNE,3320,ZBL,\N,Y,0,DH8 DH3 QF,4089,CBR,3355,ADL,3341,,0,73H QF,4089,CBR,3355,BNE,3320,,0,73H 717 QF,4089,CBR,3355,MEL,3339,,0,73H 717 QF,4089,CBR,3355,PER,3351,,0,73H QF,4089,CBR,3355,SYD,3361,,0,717 73H QF,4089,CEI,3932,BKK,3885,Y,0,320 QF,4089,CFS,3356,SYD,3361,Y,0,DH4 DH8 DH3 QF,4089,CGK,3275,SIN,3316,,0,320 QF,4089,CGK,3275,SYD,3361,,0,333 QF,4089,CHC,2009,SYD,3361,Y,0,73H 77W QF,4089,CNJ,6255,ISA,3324,Y,0,DH4 QF,4089,CNJ,6255,TSV,3330,Y,0,DH4 QF,4089,CNS,3322,ASP,3319,Y,0,717 QF,4089,CNS,3322,AYQ,4010,Y,0,717 QF,4089,CNS,3322,BNE,3320,,0,73H QF,4089,CNS,3322,DRW,3999,Y,0,717 QF,4089,CNS,3322,GOV,6316,Y,0,717 QF,4089,CNS,3322,HID,6272,Y,0,DH4 DH3 QF,4089,CNS,3322,HTI,6242,Y,0,DH3 QF,4089,CNS,3322,KIX,3992,Y,0,332 QF,4089,CNS,3322,MEL,3339,,0,73H QF,4089,CNS,3322,NRT,2279,Y,0,332 QF,4089,CNS,3322,POM,5,Y,0,DH4 QF,4089,CNS,3322,SYD,3361,,0,763 73H QF,4089,CNS,3322,TSV,3330,Y,0,DH4 DH3 QF,4089,CNS,3322,WEI,3331,Y,0,DH3 DH4 QF,4089,CNX,3931,BKK,3885,Y,0,319 QF,4089,CPH,609,DXB,2188,Y,0,77W QF,4089,CTL,3323,BNE,3320,Y,0,DH3 DH8 QF,4089,CTL,3323,RMA,6324,Y,0,DH3 QF,4089,CXI,2252,HNL,3728,Y,0,73W QF,4089,CXI,2252,NAN,1960,Y,0,73W QF,4089,DBO,3358,SYD,3361,Y,0,DH3 DH4 DH8 QF,4089,DFW,3670,ATL,3682,Y,0,M83 M80 319 QF,4089,DFW,3670,BNE,3320,,0,744 QF,4089,DFW,3670,MSY,3861,Y,0,M83 M80 QF,4089,DIL,3310,DRW,3999,Y,0,E70 QF,4089,DMM,2064,DXB,2188,Y,0,332 773 772 QF,4089,DPO,6264,MEL,3339,Y,0,DH3 DH4 QF,4089,DPS,3940,PER,3351,Y,0,320 QF,4089,DPS,3940,SIN,3316,,0,320 QF,4089,DRW,3999,ADL,3341,,0,73H QF,4089,DRW,3999,ASP,3319,Y,0,717 QF,4089,DRW,3999,BME,4319,Y,0,E70 QF,4089,DRW,3999,BNE,3320,,0,763 73H QF,4089,DRW,3999,CNS,3322,Y,0,717 QF,4089,DRW,3999,DIL,3310,Y,0,E70 QF,4089,DRW,3999,GOV,6316,Y,0,717 QF,4089,DRW,3999,ISA,3324,Y,0,E70 QF,4089,DRW,3999,KNX,3347,Y,0,E70 QF,4089,DRW,3999,MEL,3339,,0,73H QF,4089,DRW,3999,PER,3351,,0,73H QF,4089,DRW,3999,SYD,3361,,0,73H QF,4089,DRW,3999,TSV,3330,Y,0,E70 QF,4089,DUB,599,DXB,2188,Y,0,77W QF,4089,DUS,345,DXB,2188,Y,0,77W QF,4089,DXB,2188,ADL,3341,Y,0,77W QF,4089,DXB,2188,AMM,2170,Y,0,773 77W QF,4089,DXB,2188,ARN,737,Y,0,77W QF,4089,DXB,2188,BAH,2057,Y,0,332 772 773 QF,4089,DXB,2188,BHX,469,Y,0,77W QF,4089,DXB,2188,BKK,3885,Y,0,388 77W QF,4089,DXB,2188,BNE,3320,Y,0,388 QF,4089,DXB,2188,CPH,609,Y,0,77W QF,4089,DXB,2188,DMM,2064,Y,0,332 773 772 QF,4089,DXB,2188,DUB,599,Y,0,77W QF,4089,DXB,2188,DUS,345,Y,0,77W QF,4089,DXB,2188,FRA,340,Y,0,77W QF,4089,DXB,2188,GLA,534,Y,0,77W 77L QF,4089,DXB,2188,GVA,1665,Y,0,77L 77W QF,4089,DXB,2188,HAM,342,Y,0,77W QF,4089,DXB,2188,IST,1701,Y,0,77W QF,4089,DXB,2188,JED,2072,Y,0,388 QF,4089,DXB,2188,KUL,3304,Y,0,77W QF,4089,DXB,2188,LGW,502,Y,0,77W 388 QF,4089,DXB,2188,LHR,507,,0,388 QF,4089,DXB,2188,MAN,478,Y,0,77W 388 QF,4089,DXB,2188,MCT,2194,Y,0,332 77W 772 QF,4089,DXB,2188,MEL,3339,,0,388 QF,4089,DXB,2188,MUC,346,Y,0,388 QF,4089,DXB,2188,NBO,4059,Y,0,77W 77L QF,4089,DXB,2188,NCL,521,Y,0,77W QF,4089,DXB,2188,PER,3351,Y,0,77W QF,4089,DXB,2188,PRG,1587,Y,0,77W QF,4089,DXB,2188,RUH,2082,Y,0,773 772 QF,4089,DXB,2188,SIN,3316,Y,0,77W 388 QF,4089,DXB,2188,SYD,3361,,0,388 QF,4089,DXB,2188,WAW,679,Y,0,332 QF,4089,DXB,2188,ZRH,1678,Y,0,388 77W QF,4089,EMD,3990,BNE,3320,,0,DH4 DH3 QF,4089,FRA,340,DXB,2188,Y,0,77W QF,4089,GET,6268,PER,3351,Y,0,DH4 QF,4089,GLA,534,DXB,2188,Y,0,77W 77L QF,4089,GLT,6269,BNE,3320,Y,0,DH4 717 DH3 QF,4089,GLT,6269,ROK,3329,Y,0,DH4 DH3 QF,4089,GLT,6269,SYD,3361,Y,0,DH4 QF,4089,GOV,6316,CNS,3322,Y,0,717 QF,4089,GOV,6316,DRW,3999,Y,0,717 QF,4089,GVA,1665,DXB,2188,Y,0,77L 77W QF,4089,HAM,342,DXB,2188,Y,0,77W QF,4089,HBA,3336,MEL,3339,,0,73H QF,4089,HBA,3336,SYD,3361,,0,717 QF,4089,HID,6272,CNS,3322,Y,0,DH4 DH3 QF,4089,HKG,3077,BNE,3320,,0,333 QF,4089,HKG,3077,MEL,3339,,0,333 QF,4089,HKG,3077,SYD,3361,,0,388 744 QF,4089,HKT,3179,BKK,3885,Y,0,320 QF,4089,HND,2359,SIN,3316,Y,0,772 QF,4089,HNL,3728,CXI,2252,Y,0,73W QF,4089,HNL,3728,MEL,3339,Y,0,332 QF,4089,HNL,3728,NAN,1960,Y,0,73H QF,4089,HNL,3728,SYD,3361,,0,763 QF,4089,HTI,6242,CNS,3322,Y,0,DH3 QF,4089,HVB,4052,BNE,3320,Y,0,DH3 DH4 DH8 QF,4089,ICN,3930,SYD,3361,Y,0,772 QF,4089,ISA,3324,BNE,3320,,0,73H QF,4089,ISA,3324,CNJ,6255,Y,0,DH4 QF,4089,ISA,3324,DRW,3999,Y,0,E70 QF,4089,ISA,3324,OOL,3321,Y,0,E70 QF,4089,ISA,3324,TSV,3330,Y,0,DH4 QF,4089,IST,1701,DXB,2188,Y,0,77W QF,4089,JED,2072,DXB,2188,Y,0,388 QF,4089,JFK,3797,LAX,3484,,0,744 QF,4089,JNB,813,PER,3351,Y,0,343 346 QF,4089,JNB,813,SYD,3361,,0,744 QF,4089,KBV,3174,BKK,3885,Y,0,320 319 QF,4089,KGI,3346,ADL,3341,Y,0,717 QF,4089,KGI,3346,PER,3351,,0,73H DH4 QF,4089,KIX,3992,CNS,3322,Y,0,332 QF,4089,KIX,3992,OOL,3321,Y,0,332 QF,4089,KNX,3347,BME,4319,Y,0,E70 QF,4089,KNX,3347,DRW,3999,Y,0,E70 QF,4089,KNX,3347,PER,3351,Y,0,E70 QF,4089,KTA,3345,BNE,3320,,0,73H QF,4089,KTA,3345,MEL,3339,,0,73H QF,4089,KTA,3345,PER,3351,,0,73H QF,4089,KTA,3345,PHE,3349,Y,0,E70 QF,4089,KTA,3345,SYD,3361,,0,73H QF,4089,KUL,3304,DXB,2188,Y,0,77W QF,4089,KUL,3304,MEL,3339,Y,0,77W QF,4089,LAX,3484,BNE,3320,,0,744 QF,4089,LAX,3484,JFK,3797,,0,744 QF,4089,LAX,3484,MEL,3339,,0,388 QF,4089,LAX,3484,NAN,1960,Y,0,332 QF,4089,LAX,3484,PPT,4075,,0,343 QF,4089,LAX,3484,SYD,3361,,0,388 744 QF,4089,LDH,6285,BNE,3320,Y,0,DH8 QF,4089,LDH,6285,PQQ,6320,Y,0,DH8 QF,4089,LDH,6285,SYD,3361,Y,0,DH8 QF,4089,LEA,3348,PER,3351,Y,0,717 DH4 QF,4089,LGW,502,DXB,2188,Y,0,77W 388 QF,4089,LHR,507,DXB,2188,,0,388 QF,4089,LRE,6289,BNE,3320,Y,0,DH4 DH3 QF,4089,LST,3337,MEL,3339,Y,0,DH4 DH3 QF,4089,MAN,478,DXB,2188,Y,0,77W 388 QF,4089,MCT,2194,DXB,2188,Y,0,332 77W 772 QF,4089,MEL,3339,ADL,3341,,0,73H QF,4089,MEL,3339,AKL,2006,,0,73H QF,4089,MEL,3339,ASP,3319,,0,73H QF,4089,MEL,3339,BME,4319,,0,73H QF,4089,MEL,3339,BNE,3320,,0,73H 763 QF,4089,MEL,3339,CBR,3355,,0,73H 717 QF,4089,MEL,3339,CNS,3322,,0,73H QF,4089,MEL,3339,DPO,6264,Y,0,DH4 DH3 QF,4089,MEL,3339,DPS,3940,Y,0,788 QF,4089,MEL,3339,DRW,3999,,0,73H QF,4089,MEL,3339,DXB,2188,,0,388 QF,4089,MEL,3339,HBA,3336,,0,73H QF,4089,MEL,3339,HKG,3077,,0,333 QF,4089,MEL,3339,HNL,3728,Y,0,332 QF,4089,MEL,3339,KTA,3345,,0,73H QF,4089,MEL,3339,KUL,3304,Y,0,77W QF,4089,MEL,3339,LAX,3484,,0,388 QF,4089,MEL,3339,LST,3337,Y,0,DH3 DH4 QF,4089,MEL,3339,MQL,6298,Y,0,DH4 DH3 QF,4089,MEL,3339,NAN,1960,Y,0,73H QF,4089,MEL,3339,PER,3351,,0,332 333 73H QF,4089,MEL,3339,PHE,3349,,0,73H QF,4089,MEL,3339,PVG,3406,,0,332 QF,4089,MEL,3339,SGN,3205,Y,0,330 QF,4089,MEL,3339,SIN,3316,,0,333 QF,4089,MEL,3339,SYD,3361,,0,73H 763 332 QF,4089,MEL,3339,WLG,2042,,0,73H QF,4089,MKY,3326,BNE,3320,,0,100 DH4 QF,4089,MKY,3326,ROK,3329,Y,0,DH4 DH3 QF,4089,MKY,3326,TSV,3330,Y,0,DH3 DH4 QF,4089,MNL,2397,SYD,3361,,0,333 QF,4089,MOV,6301,BNE,3320,Y,0,DH4 DH3 QF,4089,MOV,6301,TSV,3330,Y,0,DH3 DH4 QF,4089,MQL,6298,MEL,3339,Y,0,DH4 DH3 QF,4089,MRZ,6300,SYD,3361,Y,0,DH3 DH8 QF,4089,MSY,3861,DFW,3670,Y,0,M80 M83 QF,4089,MSY,3861,ORD,3830,Y,0,E75 QF,4089,MUC,346,DXB,2188,Y,0,388 QF,4089,NAN,1960,AKL,2006,Y,0,73H 332 73W QF,4089,NAN,1960,BNE,3320,Y,0,73H 73W QF,4089,NAN,1960,CHC,2009,Y,0,73H QF,4089,NAN,1960,CXI,2252,Y,0,73W QF,4089,NAN,1960,HNL,3728,Y,0,73H QF,4089,NAN,1960,LAX,3484,Y,0,332 QF,4089,NAN,1960,MEL,3339,Y,0,73H QF,4089,NAN,1960,SYD,3361,,0,73H QF,4089,NBO,4059,DXB,2188,Y,0,77W 77L QF,4089,NCL,521,DXB,2188,Y,0,77W QF,4089,NKG,3388,PEK,3364,,0,332 QF,4089,NKG,3388,SYD,3361,,0,332 QF,4089,NOU,2005,BNE,3320,,0,73H QF,4089,NOU,2005,SYD,3361,,0,73H 763 QF,4089,NRT,2279,CNS,3322,Y,0,332 QF,4089,NRT,2279,OOL,3321,Y,0,332 QF,4089,NRT,2279,SYD,3361,,0,744 QF,4089,NTL,4320,BNE,3320,Y,0,DH3 DH8 QF,4089,OLP,6311,ADL,3341,Y,0,F50 QF,4089,OOL,3321,ISA,3324,Y,0,E70 QF,4089,OOL,3321,KIX,3992,Y,0,332 QF,4089,OOL,3321,NRT,2279,Y,0,332 QF,4089,OOL,3321,SYD,3361,,0,73H QF,4089,ORD,3830,ATL,3682,Y,0,E75 CR7 QF,4089,ORD,3830,MSY,3861,Y,0,E75 QF,4089,PBO,6314,PER,3351,,0,DH4 QF,4089,PEK,3364,NKG,3388,,0,332 QF,4089,PER,3351,ADL,3341,,0,73H QF,4089,PER,3351,ASP,3319,Y,0,717 QF,4089,PER,3351,BME,4319,,0,73H QF,4089,PER,3351,BNE,3320,,0,763 332 333 73H QF,4089,PER,3351,CBR,3355,,0,73H QF,4089,PER,3351,DPS,3940,Y,0,320 QF,4089,PER,3351,DRW,3999,,0,73H QF,4089,PER,3351,DXB,2188,Y,0,77W QF,4089,PER,3351,GET,6268,Y,0,DH4 QF,4089,PER,3351,JNB,813,Y,0,346 343 QF,4089,PER,3351,KGI,3346,,0,73H DH4 QF,4089,PER,3351,KNX,3347,Y,0,E70 QF,4089,PER,3351,KTA,3345,,0,73H QF,4089,PER,3351,LEA,3348,Y,0,717 DH4 QF,4089,PER,3351,MEL,3339,,0,332 333 73H QF,4089,PER,3351,PBO,6314,,0,DH4 QF,4089,PER,3351,PHE,3349,,0,73H QF,4089,PER,3351,SIN,3316,,0,332 QF,4089,PER,3351,SYD,3361,,0,332 333 73H 763 QF,4089,PER,3351,ZNE,6310,,0,73H QF,4089,PHE,3349,BME,4319,Y,0,E70 QF,4089,PHE,3349,BNE,3320,,0,73H QF,4089,PHE,3349,MEL,3339,,0,73H QF,4089,PHE,3349,PER,3351,,0,73H QF,4089,PLO,6318,ADL,3341,Y,0,DH4 QF,4089,POM,5,BNE,3320,Y,0,763 738 QF,4089,POM,5,CNS,3322,Y,0,DH4 QF,4089,POM,5,SYD,3361,Y,0,738 QF,4089,PPT,4075,AKL,2006,,0,343 QF,4089,PPT,4075,LAX,3484,,0,343 QF,4089,PQQ,6320,BNE,3320,,0,DH4 QF,4089,PQQ,6320,LDH,6285,Y,0,DH8 QF,4089,PQQ,6320,SYD,3361,Y,0,DH3 DH4 DH8 QF,4089,PRG,1587,DXB,2188,Y,0,77W QF,4089,PVG,3406,MEL,3339,,0,332 QF,4089,PVG,3406,SYD,3361,,0,333 QF,4089,RMA,6324,BNE,3320,Y,0,DH4 DH3 QF,4089,RMA,6324,CTL,3323,Y,0,DH3 QF,4089,ROK,3329,BNE,3320,,0,DH4 DH3 DH8 QF,4089,ROK,3329,GLT,6269,Y,0,DH4 DH3 QF,4089,ROK,3329,MKY,3326,Y,0,DH4 DH3 QF,4089,RUH,2082,DXB,2188,Y,0,773 772 QF,4089,SCL,2650,AKL,2006,Y,0,343 QF,4089,SCL,2650,SYD,3361,,0,744 QF,4089,SGN,3205,MEL,3339,Y,0,330 QF,4089,SGN,3205,SYD,3361,Y,0,330 QF,4089,SIN,3316,BNE,3320,,0,744 QF,4089,SIN,3316,CGK,3275,,0,320 QF,4089,SIN,3316,DPS,3940,,0,320 QF,4089,SIN,3316,DXB,2188,Y,0,77W 388 QF,4089,SIN,3316,HND,2359,Y,0,763 QF,4089,SIN,3316,MEL,3339,,0,333 QF,4089,SIN,3316,PER,3351,,0,332 QF,4089,SIN,3316,SYD,3361,,0,333 744 QF,4089,SIN,3316,USM,3177,Y,0,319 QF,4089,SON,5908,BNE,3320,Y,0,73H QF,4089,SUB,3928,SIN,3316,,0,320 QF,4089,SYD,3361,ABX,3333,Y,0,DH3 DH4 QF,4089,SYD,3361,ADL,3341,,0,73H 717 QF,4089,SYD,3361,AKL,2006,,0,73H QF,4089,SYD,3361,ARM,4062,Y,0,DH3 DH8 QF,4089,SYD,3361,ASP,3319,,0,73H QF,4089,SYD,3361,BKK,3885,,0,333 QF,4089,SYD,3361,BME,4319,,0,73H QF,4089,SYD,3361,BNE,3320,,0,73H 763 333 QF,4089,SYD,3361,CBR,3355,,0,73H 717 QF,4089,SYD,3361,CFS,3356,Y,0,DH8 DH4 DH3 QF,4089,SYD,3361,CGK,3275,,0,333 QF,4089,SYD,3361,CHC,2009,Y,0,77W 73H QF,4089,SYD,3361,CNS,3322,,0,763 73H QF,4089,SYD,3361,DBO,3358,Y,0,DH4 DH8 DH3 QF,4089,SYD,3361,DFW,3670,,0,744 QF,4089,SYD,3361,DRW,3999,,0,73H QF,4089,SYD,3361,DXB,2188,,0,388 QF,4089,SYD,3361,GLT,6269,Y,0,DH4 QF,4089,SYD,3361,HBA,3336,,0,717 QF,4089,SYD,3361,HKG,3077,,0,388 744 QF,4089,SYD,3361,HNL,3728,,0,763 QF,4089,SYD,3361,ICN,3930,Y,0,772 QF,4089,SYD,3361,JNB,813,,0,744 QF,4089,SYD,3361,KTA,3345,,0,73H QF,4089,SYD,3361,LAX,3484,,0,744 388 QF,4089,SYD,3361,LDH,6285,Y,0,DH8 QF,4089,SYD,3361,MEL,3339,,0,763 73H 332 QF,4089,SYD,3361,MNL,2397,,0,333 QF,4089,SYD,3361,MRZ,6300,Y,0,DH3 DH8 QF,4089,SYD,3361,NAN,1960,,0,73H QF,4089,SYD,3361,NKG,3388,,0,332 QF,4089,SYD,3361,NOU,2005,,0,73H 763 QF,4089,SYD,3361,NRT,2279,,0,744 QF,4089,SYD,3361,OOL,3321,,0,73H QF,4089,SYD,3361,PER,3351,,0,332 333 763 73H QF,4089,SYD,3361,POM,5,Y,0,738 QF,4089,SYD,3361,PQQ,6320,Y,0,DH3 DH4 DH8 QF,4089,SYD,3361,PVG,3406,,0,333 QF,4089,SYD,3361,SCL,2650,,0,744 QF,4089,SYD,3361,SGN,3205,Y,0,330 QF,4089,SYD,3361,SIN,3316,,0,333 744 QF,4089,SYD,3361,TMW,3362,Y,0,DH8 DH3 DH4 QF,4089,SYD,3361,VLI,1997,Y,0,73H QF,4089,SYD,3361,WGA,3363,Y,0,DH4 DH3 QF,4089,SYD,3361,WLG,2042,,0,73H QF,4089,SYD,3361,ZQN,2030,,0,73H QF,4089,TMW,3362,SYD,3361,Y,0,DH4 DH8 DH3 QF,4089,TSV,3330,BNE,3320,,0,73H QF,4089,TSV,3330,CNJ,6255,Y,0,DH4 QF,4089,TSV,3330,CNS,3322,Y,0,DH3 DH4 QF,4089,TSV,3330,DRW,3999,Y,0,E70 QF,4089,TSV,3330,ISA,3324,Y,0,DH4 QF,4089,TSV,3330,MKY,3326,Y,0,DH4 DH3 QF,4089,TSV,3330,MOV,6301,Y,0,DH3 DH4 QF,4089,USM,3177,SIN,3316,Y,0,319 QF,4089,VLI,1997,BNE,3320,Y,0,73H QF,4089,VLI,1997,SYD,3361,Y,0,73H QF,4089,WAW,679,DXB,2188,Y,0,332 QF,4089,WEI,3331,CNS,3322,Y,0,DH3 DH4 QF,4089,WGA,3363,SYD,3361,Y,0,DH4 DH3 QF,4089,WLG,2042,MEL,3339,,0,73H QF,4089,WLG,2042,SYD,3361,,0,73H QF,4089,ZBL,\N,BNE,3320,Y,0,DH8 DH3 QF,4089,ZNE,6310,PER,3351,,0,73H QF,4089,ZQN,2030,SYD,3361,,0,73H QF,4089,ZRH,1678,DXB,2188,Y,0,388 77W QG,19305,BDJ,3908,CGK,3275,,0,320 QG,19305,BDJ,3908,SUB,3928,,0,320 QG,19305,BDO,3896,DPS,3940,,0,320 QG,19305,BKS,3288,CGK,3275,,0,320 QG,19305,BPN,3919,CGK,3275,,0,320 QG,19305,BPN,3919,DPS,3940,,0,320 QG,19305,BPN,3919,JOG,3898,,0,320 QG,19305,BPN,3919,SUB,3928,,0,320 QG,19305,BPN,3919,UPG,3240,,0,320 QG,19305,BTH,3903,CGK,3275,,0,320 QG,19305,BTH,3903,PDG,8807,,0,320 QG,19305,BTH,3903,PKU,3273,,0,320 QG,19305,BTH,3903,PLM,3289,,0,320 QG,19305,BTH,3903,SUB,3928,,0,320 QG,19305,CGK,3275,BDJ,3908,,0,320 QG,19305,CGK,3275,BKS,3288,,0,320 QG,19305,CGK,3275,BPN,3919,,0,320 QG,19305,CGK,3275,BTH,3903,,0,320 QG,19305,CGK,3275,DJB,3287,,0,320 QG,19305,CGK,3275,DPS,3940,,0,320 QG,19305,CGK,3275,PDG,8807,,0,320 QG,19305,CGK,3275,PGK,3905,,0,320 QG,19305,CGK,3275,PKU,3273,,0,320 QG,19305,CGK,3275,PLM,3289,,0,320 QG,19305,CGK,3275,SUB,3928,,0,320 QG,19305,CGK,3275,TJQ,3904,,0,320 QG,19305,CGK,3275,UPG,3240,,0,320 QG,19305,DJB,3287,CGK,3275,,0,320 QG,19305,DPS,3940,BDO,3896,,0,320 QG,19305,DPS,3940,BPN,3919,,0,320 QG,19305,DPS,3940,CGK,3275,,0,320 QG,19305,DPS,3940,SUB,3928,,0,320 QG,19305,JHB,3303,SUB,3928,,0,320 QG,19305,JOG,3898,BPN,3919,,0,320 QG,19305,KOE,3916,SUB,3928,,0,320 QG,19305,KUL,3304,SUB,3928,,0,320 QG,19305,LOP,8401,SUB,3928,,0,320 QG,19305,MDC,3250,SUB,3928,,0,320 QG,19305,PDG,8807,BTH,3903,,0,320 QG,19305,PDG,8807,CGK,3275,,0,320 QG,19305,PGK,3905,CGK,3275,,0,320 QG,19305,PKU,3273,BTH,3903,,0,320 QG,19305,PKU,3273,CGK,3275,,0,320 QG,19305,PLM,3289,BTH,3903,,0,320 QG,19305,PLM,3289,CGK,3275,,0,320 QG,19305,SUB,3928,BDJ,3908,,0,320 QG,19305,SUB,3928,BPN,3919,,0,320 QG,19305,SUB,3928,BTH,3903,,0,320 QG,19305,SUB,3928,CGK,3275,,0,320 QG,19305,SUB,3928,DPS,3940,,0,320 QG,19305,SUB,3928,JHB,3303,,0,320 QG,19305,SUB,3928,KOE,3916,,0,320 QG,19305,SUB,3928,KUL,3304,,0,320 QG,19305,SUB,3928,LOP,8401,,0,320 QG,19305,SUB,3928,MDC,3250,,0,320 QG,19305,TJQ,3904,CGK,3275,,0,320 QG,19305,UPG,3240,BPN,3919,,0,320 QG,19305,UPG,3240,CGK,3275,,0,320 QH,882,CEK,2968,FRU,2912,,0,735 QH,882,CEK,2968,OSS,2913,,0,320 QH,882,DME,4029,FRU,2912,,0,733 QH,882,DME,4029,OSS,2913,,0,733 734 QH,882,FRU,2912,CEK,2968,,0,735 QH,882,FRU,2912,DME,4029,,0,733 QH,882,FRU,2912,IST,1701,,0,73H QH,882,FRU,2912,KJA,4374,,0,735 QH,882,FRU,2912,KRR,2960,,0,735 QH,882,FRU,2912,OSS,2913,,0,735 QH,882,FRU,2912,OVB,4078,,0,735 QH,882,FRU,2912,SVX,2975,,0,735 QH,882,FRU,2912,TAS,2983,,0,735 QH,882,FRU,2912,URC,3399,,0,735 QH,882,IST,1701,FRU,2912,,0,73H QH,882,IST,1701,OSS,2913,,0,319 QH,882,KJA,4374,FRU,2912,,0,735 QH,882,KJA,4374,OSS,2913,,0,735 QH,882,KRR,2960,FRU,2912,,0,735 QH,882,OSS,2913,CEK,2968,,0,320 QH,882,OSS,2913,DME,4029,,0,733 734 QH,882,OSS,2913,FRU,2912,,0,735 QH,882,OSS,2913,IST,1701,,0,319 QH,882,OSS,2913,KJA,4374,,0,735 QH,882,OSS,2913,OVB,4078,,0,734 QH,882,OSS,2913,SGC,2974,,0,735 QH,882,OSS,2913,URC,3399,,0,735 QH,882,OVB,4078,FRU,2912,,0,735 QH,882,OVB,4078,OSS,2913,,0,734 QH,882,SGC,2974,OSS,2913,,0,735 QH,882,SVX,2975,FRU,2912,,0,735 QH,882,TAS,2983,FRU,2912,,0,735 QH,882,URC,3399,FRU,2912,,0,735 QH,882,URC,3399,OSS,2913,,0,735 QL,1206,AUA,2895,CCS,2851,,0,D93 QL,1206,BLA,2821,CCS,2851,,0,D93 QL,1206,CCS,2851,AUA,2895,,0,D93 QL,1206,CCS,2851,BLA,2821,,0,D93 QL,1206,CCS,2851,MAR,2848,,0,D93 QL,1206,CCS,2851,PMV,2850,,0,D93 QL,1206,CCS,2851,STD,2861,,0,D93 QL,1206,CCS,2851,VIG,6072,,0,D93 QL,1206,MAR,2848,CCS,2851,,0,D93 QL,1206,PMV,2850,CCS,2851,,0,D93 QL,1206,PMV,2850,VLN,2868,,0,D93 QL,1206,STD,2861,CCS,2851,,0,D93 QL,1206,VIG,6072,CCS,2851,,0,D93 QL,1206,VLN,2868,PMV,2850,,0,D93 QN,426,AER,2965,EVN,3964,,0,735 QN,426,ATH,3941,EVN,3964,,0,735 QN,426,CDG,1382,EVN,3964,,0,320 QN,426,EVN,3964,AER,2965,,0,735 QN,426,EVN,3964,ATH,3941,,0,735 QN,426,EVN,3964,CDG,1382,,0,320 QN,426,EVN,3964,GOJ,4274,,0,735 QN,426,EVN,3964,KUF,2993,,0,735 QN,426,EVN,3964,LED,2948,,0,735 QN,426,EVN,3964,SVX,2975,,0,735 QN,426,EVN,3964,VKO,2988,,0,320 QN,426,GOJ,4274,EVN,3964,,0,735 QN,426,KUF,2993,EVN,3964,,0,735 QN,426,LED,2948,EVN,3964,,0,735 QN,426,SVX,2975,EVN,3964,,0,735 QN,426,VKO,2988,EVN,3964,,0,320 QR,4091,ADD,1107,DOH,11051,,0,320 QR,4091,ALG,210,DOH,11051,,0,77W QR,4091,AMD,2994,DOH,11051,,0,321 QR,4091,AMM,2170,DOH,11051,,0,77W 333 332 77L QR,4091,ARN,737,DOH,11051,,0,788 QR,4091,ATH,3941,DOH,11051,,0,333 321 332 QR,4091,ATL,3682,IAH,3550,,0, QR,4091,ATL,3682,ORD,3830,Y,0,CR7 QR,4091,ATQ,3081,DOH,11051,,0,321 QR,4091,AUH,2179,DOH,11051,,0,320 319 321 QR,4091,BAH,2057,DOH,11051,,0,320 321 319 333 QR,4091,BCN,1218,DOH,11051,,0,332 QR,4091,BCN,1218,JFK,3797,Y,0,763 QR,4091,BEG,1739,ESB,1682,,0,320 QR,4091,BEY,2177,DOH,11051,,0,320 321 QR,4091,BGW,4130,DOH,11051,,0,320 QR,4091,BKK,3885,CNX,3931,Y,0,320 319 QR,4091,BKK,3885,DOH,11051,,0,77W QR,4091,BKK,3885,HAN,3199,,0,77W QR,4091,BKK,3885,HKT,3179,Y,0,320 QR,4091,BKK,3885,KBV,3174,Y,0,320 319 QR,4091,BKK,3885,MDL,3222,Y,0,320 QR,4091,BLR,3131,DOH,11051,,0,788 QR,4091,BOM,2997,DOH,11051,,0,77W QR,4091,BRU,302,DOH,11051,,0,788 QR,4091,BSR,2234,DOH,11051,,0,320 QR,4091,BUD,1489,DOH,11051,,0,321 320 QR,4091,BUD,1489,ZAG,1208,,0,321 320 QR,4091,CAI,1128,DOH,11051,,0,77L 77W 333 320 QR,4091,CAN,3370,DOH,11051,,0,77W QR,4091,CCJ,3137,DOH,11051,,0,320 321 QR,4091,CCU,3043,DOH,11051,,0,320 QR,4091,CDG,1382,DOH,11051,,0,346 77W QR,4091,CDG,1382,JFK,3797,Y,0,763 QR,4091,CGK,3275,DOH,11051,,0,77W 332 333 QR,4091,CKG,3393,DOH,11051,,0,332 QR,4091,CMB,3024,DOH,11051,,0,77W 321 320 QR,4091,CMN,1074,DOH,11051,,0,333 332 QR,4091,CNX,3931,BKK,3885,Y,0,320 319 QR,4091,COK,3136,DOH,11051,,0,346 333 QR,4091,CPH,609,DOH,11051,,0,788 QR,4091,CPT,797,DOH,11051,,0,788 QR,4091,CPT,797,JNB,813,,0,788 QR,4091,CRK,4140,DOH,11051,,0,333 QR,4091,CTU,3395,DOH,11051,,0,332 QR,4091,DAC,3076,DOH,11051,,0,333 320 332 QR,4091,DAR,1177,DOH,11051,,0,320 QR,4091,DAR,1177,JRO,1180,,0,320 QR,4091,DEL,3093,DOH,11051,,0,788 QR,4091,DME,4029,DOH,11051,,0,320 QR,4091,DMM,2064,DOH,11051,,0,788 321 77W 333 320 332 319 QR,4091,DOH,11051,ADD,1107,,0,320 QR,4091,DOH,11051,ALG,210,,0,77W QR,4091,DOH,11051,AMD,2994,,0,321 QR,4091,DOH,11051,AMM,2170,,0,77W 333 332 77L QR,4091,DOH,11051,ARN,737,,0,788 QR,4091,DOH,11051,ATH,3941,,0,333 321 332 QR,4091,DOH,11051,ATQ,3081,,0,321 QR,4091,DOH,11051,AUH,2179,,0,320 319 321 QR,4091,DOH,11051,BAH,2057,,0,320 321 319 333 QR,4091,DOH,11051,BCN,1218,,0,332 QR,4091,DOH,11051,BEY,2177,,0,320 321 QR,4091,DOH,11051,BGW,4130,,0,320 QR,4091,DOH,11051,BKK,3885,,0,77W QR,4091,DOH,11051,BLR,3131,,0,788 QR,4091,DOH,11051,BOM,2997,,0,77W QR,4091,DOH,11051,BRU,302,,0,788 QR,4091,DOH,11051,BSR,2234,,0,320 QR,4091,DOH,11051,BUD,1489,,0,321 320 QR,4091,DOH,11051,CAI,1128,,0,77L 77W 333 320 QR,4091,DOH,11051,CAN,3370,,0,77W QR,4091,DOH,11051,CCJ,3137,,0,320 321 QR,4091,DOH,11051,CCU,3043,,0,320 QR,4091,DOH,11051,CDG,1382,,0,346 77W QR,4091,DOH,11051,CGK,3275,,0,332 77W 333 QR,4091,DOH,11051,CKG,3393,,0,332 QR,4091,DOH,11051,CMB,3024,,0,321 320 77W QR,4091,DOH,11051,CMN,1074,,0,333 332 QR,4091,DOH,11051,COK,3136,,0,333 346 QR,4091,DOH,11051,CPH,609,,0,788 QR,4091,DOH,11051,CRK,4140,,0,333 332 QR,4091,DOH,11051,CTU,3395,,0,332 QR,4091,DOH,11051,DAC,3076,,0,333 320 332 QR,4091,DOH,11051,DAR,1177,,0,320 QR,4091,DOH,11051,DEL,3093,,0,788 QR,4091,DOH,11051,DME,4029,,0,320 QR,4091,DOH,11051,DMM,2064,,0,788 321 77W 333 320 332 319 QR,4091,DOH,11051,DWC,8076,,0,320 321 319 QR,4091,DOH,11051,DXB,2188,,0,788 321 320 77W 77L 332 333 QR,4091,DOH,11051,EBB,1187,,0,320 QR,4091,DOH,11051,EBL,3989,,0,320 QR,4091,DOH,11051,ELQ,2067,,0,320 319 QR,4091,DOH,11051,ESB,1682,,0,320 QR,4091,DOH,11051,FCO,1555,,0,333 320 QR,4091,DOH,11051,FRA,340,,0,77L 788 77W QR,4091,DOH,11051,GOI,3007,,0,321 QR,4091,DOH,11051,GRU,2564,,0,77L QR,4091,DOH,11051,GVA,1665,,0,320 QR,4091,DOH,11051,GYD,2922,,0,320 QR,4091,DOH,11051,HBE,3410,,0,320 QR,4091,DOH,11051,HGH,3386,,0,332 333 QR,4091,DOH,11051,HKG,3077,,0,333 332 QR,4091,DOH,11051,HYD,\N,,0,321 QR,4091,DOH,11051,IAD,3714,,0,77W QR,4091,DOH,11051,IAH,3550,,0,77L QR,4091,DOH,11051,ICN,3930,,0,333 QR,4091,DOH,11051,IKA,4330,,0,320 321 QR,4091,DOH,11051,ISB,2223,,0,333 77L 332 QR,4091,DOH,11051,IST,1701,,0,333 332 QR,4091,DOH,11051,ISU,5952,,0,320 QR,4091,DOH,11051,JED,2072,,0,788 333 77W 332 QR,4091,DOH,11051,JFK,3797,,0,77W QR,4091,DOH,11051,JNB,813,,0,788 QR,4091,DOH,11051,KHI,2206,,0,320 QR,4091,DOH,11051,KIX,3992,,0,332 QR,4091,DOH,11051,KRT,1175,,0,320 321 QR,4091,DOH,11051,KTM,3125,,0,320 333 QR,4091,DOH,11051,KUL,3304,,0,332 77W 333 77L QR,4091,DOH,11051,KWI,2176,,0,320 321 77L 332 QR,4091,DOH,11051,LCA,1197,,0,320 QR,4091,DOH,11051,LHE,2207,,0,333 77W 332 QR,4091,DOH,11051,LHR,507,,0,333 788 77W 346 332 77L QR,4091,DOH,11051,LOS,273,,0,333 332 QR,4091,DOH,11051,LXR,1132,,0,320 QR,4091,DOH,11051,MAA,3144,,0,333 QR,4091,DOH,11051,MAD,1229,,0,77W QR,4091,DOH,11051,MAN,478,,0,332 333 QR,4091,DOH,11051,MCT,2194,,0,320 E75 321 73J 332 788 73G 77L QR,4091,DOH,11051,MED,2074,,0,320 321 QR,4091,DOH,11051,MEL,3339,,0,77W QR,4091,DOH,11051,MHD,4331,,0,320 QR,4091,DOH,11051,MLE,3156,,0,320 QR,4091,DOH,11051,MNL,2397,,0,77W 333 QR,4091,DOH,11051,MUC,346,,0,788 QR,4091,DOH,11051,MXP,1524,,0,332 320 333 QR,4091,DOH,11051,NBO,4059,,0,320 QR,4091,DOH,11051,NJF,7490,,0,320 QR,4091,DOH,11051,NRT,2279,,0,77L QR,4091,DOH,11051,ORD,3830,,0,77W QR,4091,DOH,11051,OSL,644,,0,788 QR,4091,DOH,11051,OTP,1657,,0,320 321 QR,4091,DOH,11051,PEK,3364,,0,77W QR,4091,DOH,11051,PER,3351,,0,77L QR,4091,DOH,11051,PEW,2219,,0,332 333 QR,4091,DOH,11051,PHL,3752,,0,77L QR,4091,DOH,11051,PVG,3406,,0,77W QR,4091,DOH,11051,RGN,3239,,0,319 QR,4091,DOH,11051,RUH,2082,,0,788 333 321 320 QR,4091,DOH,11051,SAH,3980,,0,320 QR,4091,DOH,11051,SGN,3205,,0,332 QR,4091,DOH,11051,SHJ,2191,,0,320 319 321 QR,4091,DOH,11051,SIN,3316,,0,788 77W QR,4091,DOH,11051,SLL,2195,,0,320 QR,4091,DOH,11051,SYZ,2157,,0,320 321 QR,4091,DOH,11051,TIF,2090,,0,321 320 QR,4091,DOH,11051,TRV,3153,,0,321 QR,4091,DOH,11051,TUN,287,,0,320 QR,4091,DOH,11051,TXL,351,,0,332 333 QR,4091,DOH,11051,VCE,1551,,0,320 QR,4091,DOH,11051,VIE,1613,,0,320 QR,4091,DOH,11051,WAW,679,,0,320 QR,4091,DOH,11051,YUL,146,,0,77W QR,4091,DOH,11051,ZRH,1678,,0,788 QR,4091,DPS,3940,SIN,3316,,0,77W QR,4091,DWC,8076,DOH,11051,,0,320 321 319 QR,4091,DXB,2188,DOH,11051,,0,320 788 321 77W 77L 332 333 QR,4091,EBB,1187,DOH,11051,,0,320 QR,4091,EBB,1187,KGL,1165,,0,320 QR,4091,EBL,3989,DOH,11051,,0,320 QR,4091,ELQ,2067,DOH,11051,,0,320 319 QR,4091,ESB,1682,BEG,1739,,0,320 QR,4091,ESB,1682,DOH,11051,,0,320 QR,4091,EZE,3988,GRU,2564,,0,77L QR,4091,FCO,1555,DOH,11051,,0,333 320 QR,4091,FRA,340,DOH,11051,,0,77L 788 77W QR,4091,GOI,3007,DOH,11051,,0,321 QR,4091,GRU,2564,DOH,11051,,0,77L QR,4091,GRU,2564,EZE,3988,,0,77L QR,4091,GVA,1665,DOH,11051,,0,320 QR,4091,GYD,2922,DOH,11051,,0,320 QR,4091,GYD,2922,TBS,3973,,0,320 QR,4091,HAN,3199,BKK,3885,,0,77W QR,4091,HBE,3410,DOH,11051,,0,320 QR,4091,HGH,3386,DOH,11051,,0,332 333 QR,4091,HKG,3077,DOH,11051,,0,332 333 QR,4091,HKT,3179,BKK,3885,Y,0,320 QR,4091,HKT,3179,KUL,3304,,0,332 QR,4091,HYD,\N,DOH,11051,,0,321 QR,4091,IAD,3714,DOH,11051,,0,77W QR,4091,IAH,3550,DOH,11051,,0,77L QR,4091,ICN,3930,DOH,11051,,0,333 QR,4091,IKA,4330,DOH,11051,,0,320 321 QR,4091,ISB,2223,DOH,11051,,0,332 333 77L QR,4091,IST,1701,DOH,11051,,0,333 332 QR,4091,ISU,5952,DOH,11051,,0,320 QR,4091,JED,2072,DOH,11051,,0,788 333 77W 332 QR,4091,JFK,3797,BCN,1218,Y,0,763 QR,4091,JFK,3797,CDG,1382,Y,0,757 QR,4091,JFK,3797,DOH,11051,,0,77W QR,4091,JFK,3797,LAS,3877,Y,0,738 QR,4091,JFK,3797,MSY,3861,Y,0,E90 QR,4091,JFK,3797,MXP,1524,Y,0,763 QR,4091,JFK,3797,ORD,3830,Y,0,738 QR,4091,JFK,3797,SAN,3731,Y,0,738 QR,4091,JNB,813,CPT,797,,0,788 QR,4091,JNB,813,DOH,11051,,0,788 QR,4091,JNB,813,MPM,979,,0,788 QR,4091,JRO,1180,DAR,1177,,0,320 QR,4091,KBV,3174,BKK,3885,Y,0,320 319 QR,4091,KGL,1165,EBB,1187,,0,320 QR,4091,KHI,2206,DOH,11051,,0,320 QR,4091,KIX,3992,DOH,11051,,0,332 QR,4091,KRT,1175,DOH,11051,,0,320 321 QR,4091,KTM,3125,DOH,11051,,0,320 333 QR,4091,KUL,3304,DOH,11051,,0,332 77W 333 QR,4091,KUL,3304,HKT,3179,,0,332 QR,4091,KWI,2176,DOH,11051,,0,320 321 77L 332 QR,4091,LAS,3877,JFK,3797,Y,0,757 QR,4091,LCA,1197,DOH,11051,,0,320 QR,4091,LHE,2207,DOH,11051,,0,332 333 77W QR,4091,LHR,507,DOH,11051,,0,332 333 77W 788 346 77L QR,4091,LOS,273,DOH,11051,,0,333 332 QR,4091,LXR,1132,DOH,11051,,0,320 QR,4091,MAA,3144,DOH,11051,,0,333 QR,4091,MAD,1229,DOH,11051,,0,77W QR,4091,MAN,478,DOH,11051,,0,332 333 QR,4091,MCT,2194,DOH,11051,,0,E75 320 321 73J 332 788 73G 77L QR,4091,MDL,3222,BKK,3885,Y,0,320 QR,4091,MED,2074,DOH,11051,,0,320 321 QR,4091,MEL,3339,DOH,11051,,0,77W QR,4091,MEX,1824,ATL,3682,,0,77X QR,4091,MHD,4331,DOH,11051,,0,320 QR,4091,MLE,3156,DOH,11051,,0,320 QR,4091,MNL,2397,DOH,11051,,0,333 77W QR,4091,MPM,979,JNB,813,,0,788 QR,4091,MSY,3861,JFK,3797,Y,0,320 QR,4091,MUC,346,DOH,11051,,0,788 QR,4091,MXP,1524,DOH,11051,,0,332 320 333 QR,4091,MXP,1524,JFK,3797,Y,0,763 QR,4091,NBO,4059,DOH,11051,,0,320 QR,4091,NJF,7490,DOH,11051,,0,320 QR,4091,NRT,2279,DOH,11051,,0,77L QR,4091,ORD,3830,ATL,3682,Y,0,CR7 QR,4091,ORD,3830,DOH,11051,,0,77W QR,4091,ORD,3830,JFK,3797,Y,0,738 QR,4091,ORD,3830,MSY,3861,Y,0,E75 QR,4091,OSL,644,DOH,11051,,0,788 QR,4091,OTP,1657,DOH,11051,,0,320 321 QR,4091,OTP,1657,SOF,1194,,0,320 321 QR,4091,PEK,3364,DOH,11051,,0,77W QR,4091,PER,3351,DOH,11051,,0,77L QR,4091,PEW,2219,DOH,11051,,0,332 333 QR,4091,PHL,3752,DOH,11051,,0,77L QR,4091,PNH,3034,SGN,3205,,0,332 QR,4091,PVG,3406,DOH,11051,,0,77W QR,4091,RGN,3239,DOH,11051,,0,319 QR,4091,RUH,2082,DOH,11051,,0,788 333 321 320 QR,4091,SAH,3980,DOH,11051,,0,320 QR,4091,SAN,3731,JFK,3797,Y,0,738 QR,4091,SGN,3205,DOH,11051,,0,332 QR,4091,SGN,3205,PNH,3034,,0,332 QR,4091,SHJ,2191,DOH,11051,,0,320 319 321 QR,4091,SIN,3316,DOH,11051,,0,77W 788 QR,4091,SIN,3316,DPS,3940,,0,77W QR,4091,SLL,2195,DOH,11051,,0,320 QR,4091,SOF,1194,OTP,1657,,0,320 321 QR,4091,SYZ,2157,DOH,11051,,0,320 321 QR,4091,TBS,3973,GYD,2922,,0,320 QR,4091,TIF,2090,DOH,11051,,0,321 320 QR,4091,TRV,3153,DOH,11051,,0,321 QR,4091,TUN,287,DOH,11051,,0,320 QR,4091,TXL,351,DOH,11051,,0,332 333 QR,4091,VCE,1551,DOH,11051,,0,320 QR,4091,VIE,1613,DOH,11051,,0,320 QR,4091,WAW,679,DOH,11051,,0,320 QR,4091,YUL,146,DOH,11051,,0,77W QR,4091,ZAG,1208,BUD,1489,,0,321 320 QR,4091,ZRH,1678,DOH,11051,,0,788 QS,5097,AMS,580,PRG,1587,,0,319 QS,5097,ARN,737,PRG,1587,,0,319 QS,5097,AYT,1688,PRG,1587,,0,738 QS,5097,BCN,1218,PRG,1587,,0,319 738 QS,5097,BRU,302,PRG,1587,,0,319 QS,5097,BTS,1745,PRG,1587,,0,AT4 AT7 QS,5097,BUD,1489,PRG,1587,,0,AT7 QS,5097,CDG,1382,OSR,1582,,0,738 QS,5097,CDG,1382,PRG,1587,,0,319 73G 738 QS,5097,CPH,609,PRG,1587,,0,319 QS,5097,DUS,345,PRG,1587,,0,319 AT7 QS,5097,FCO,1555,PRG,1587,,0,738 320 319 QS,5097,FNC,4091,PRG,1587,,0,738 QS,5097,FRA,340,PRG,1587,,0,AT7 319 QS,5097,HAM,342,PRG,1587,,0,319 AT7 QS,5097,KBP,2939,PRG,1587,,0,319 QS,5097,KSC,1746,PRG,1587,,0,AT4 AT7 QS,5097,LPA,1054,PRG,1587,,0,738 QS,5097,MAD,1229,PRG,1587,,0,320 QS,5097,MXP,1524,PRG,1587,,0,319 QS,5097,NCE,1354,PRG,1587,,0,319 QS,5097,OSR,1582,CDG,1382,,0,738 QS,5097,OSR,1582,PRG,1587,,0,AT4 QS,5097,OTP,1657,PRG,1587,,0,319 QS,5097,PMI,3998,PRG,1587,,0,738 QS,5097,PRG,1587,AMS,580,,0,319 QS,5097,PRG,1587,ARN,737,,0,319 QS,5097,PRG,1587,AYT,1688,,0,738 QS,5097,PRG,1587,BCN,1218,,0,319 738 QS,5097,PRG,1587,BRU,302,,0,319 QS,5097,PRG,1587,BTS,1745,,0,AT4 AT7 QS,5097,PRG,1587,BUD,1489,,0,AT7 QS,5097,PRG,1587,CDG,1382,,0,319 73G 738 QS,5097,PRG,1587,CPH,609,,0,319 QS,5097,PRG,1587,DUS,345,,0,319 AT7 QS,5097,PRG,1587,FCO,1555,,0,738 320 319 QS,5097,PRG,1587,FNC,4091,,0,738 QS,5097,PRG,1587,FRA,340,,0,AT7 319 QS,5097,PRG,1587,HAM,342,,0,319 AT7 QS,5097,PRG,1587,HER,1452,,0,738 QS,5097,PRG,1587,KBP,2939,,0,319 QS,5097,PRG,1587,KSC,1746,,0,AT4 QS,5097,PRG,1587,LPA,1054,,0,738 QS,5097,PRG,1587,MAD,1229,,0,320 QS,5097,PRG,1587,MXP,1524,,0,319 QS,5097,PRG,1587,NCE,1354,,0,319 QS,5097,PRG,1587,OSR,1582,,0,AT4 QS,5097,PRG,1587,OTP,1657,,0,319 QS,5097,PRG,1587,PMI,3998,,0,738 QS,5097,PRG,1587,RHO,1472,,0,738 QS,5097,PRG,1587,SPU,1206,,0,738 QS,5097,PRG,1587,SXB,1435,,0,AT4 QS,5097,PRG,1587,TFS,1056,,0,738 QS,5097,PRG,1587,TLV,1590,,0,320 738 QS,5097,PRG,1587,TXL,351,,0,AT4 QS,5097,PRG,1587,VLC,1246,,0,738 QS,5097,PRG,1587,WAW,679,,0,AT7 AT4 QS,5097,PRG,1587,ZRH,1678,,0,AT7 QS,5097,RHO,1472,PRG,1587,,0,738 QS,5097,SPU,1206,PRG,1587,,0,738 QS,5097,SXB,1435,PRG,1587,,0,AT4 QS,5097,TFS,1056,PRG,1587,,0,738 QS,5097,TLV,1590,PRG,1587,,0,738 320 QS,5097,TXL,351,PRG,1587,,0,AT4 QS,5097,VLC,1246,PRG,1587,,0,738 QS,5097,WAW,679,PRG,1587,,0,AT7 AT4 QS,5097,ZRH,1678,PRG,1587,,0,AT7 QU,2104,IEV,2944,VKO,2988,,0,735 QU,2104,LWO,2945,VKO,2988,,0,735 QU,2104,VKO,2988,IEV,2944,,0,735 QU,2104,VKO,2988,LWO,2945,,0,735 QV,3233,BKK,3885,LPQ,3115,,0,AT7 QV,3233,BKK,3885,VTE,3120,,0,320 AT7 QV,3233,BKK,3885,ZVK,3118,,0,AT7 QV,3233,CAN,3370,VTE,3120,,0,320 QV,3233,CNX,3931,LPQ,3115,,0,AT7 QV,3233,HAN,3199,LPQ,3115,,0,AT7 QV,3233,HAN,3199,VTE,3120,,0,320 QV,3233,HOE,\N,VTE,3120,,0,AT7 QV,3233,ICN,3930,VTE,3120,,0,320 QV,3233,JHG,3381,LPQ,3115,,0,AT7 QV,3233,KMG,3382,VTE,3120,,0,320 QV,3233,LPQ,3115,BKK,3885,,0,AT7 QV,3233,LPQ,3115,CNX,3931,,0,AT7 QV,3233,LPQ,3115,HAN,3199,,0,AT7 QV,3233,LPQ,3115,JHG,3381,,0,AT7 QV,3233,LPQ,3115,PKZ,3116,,0,AT7 QV,3233,LPQ,3115,REP,3035,Y,0,AT7 QV,3233,LPQ,3115,VTE,3120,,0,AT7 320 QV,3233,LXG,4142,VTE,3120,,0,AT7 QV,3233,ODY,4143,VTE,3120,,0,AT7 QV,3233,PKZ,3116,LPQ,3115,,0,AT7 QV,3233,PKZ,3116,REP,3035,,0,AT7 QV,3233,PKZ,3116,SGN,3205,,0,AT7 QV,3233,PKZ,3116,VTE,3120,,0,AT7 320 QV,3233,PKZ,3116,ZVK,3118,,0,AT7 QV,3233,PNH,3034,VTE,3120,Y,0,321 QV,3233,REP,3035,LPQ,3115,Y,0,AT7 QV,3233,REP,3035,PKZ,3116,,0,AT7 QV,3233,SGN,3205,PKZ,3116,,0,AT7 QV,3233,SIN,3316,VTE,3120,,0,320 QV,3233,VTE,3120,BKK,3885,,0,320 AT7 QV,3233,VTE,3120,CAN,3370,,0,320 QV,3233,VTE,3120,HAN,3199,,0,320 QV,3233,VTE,3120,HOE,\N,,0,AT7 QV,3233,VTE,3120,ICN,3930,,0,320 QV,3233,VTE,3120,KMG,3382,,0,320 QV,3233,VTE,3120,LPQ,3115,,0,AT7 320 QV,3233,VTE,3120,LXG,4142,,0,AT7 QV,3233,VTE,3120,ODY,4143,,0,AT7 QV,3233,VTE,3120,PKZ,3116,,0,AT7 320 QV,3233,VTE,3120,PNH,3034,Y,0,321 QV,3233,VTE,3120,SIN,3316,,0,320 QV,3233,VTE,3120,XKH,4081,,0,AT7 QV,3233,VTE,3120,ZVK,3118,,0,AT7 QV,3233,XKH,4081,VTE,3120,,0,AT7 QV,3233,ZVK,3118,BKK,3885,,0,AT7 QV,3233,ZVK,3118,PKZ,3116,,0,AT7 QV,3233,ZVK,3118,VTE,3120,,0,AT7 QZ,2857,BDO,3896,DPS,3940,,0,320 QZ,2857,BDO,3896,JHB,3303,,0,320 QZ,2857,BDO,3896,KUL,3304,,0,320 QZ,2857,BDO,3896,PKU,3273,,0,320 QZ,2857,BDO,3896,SIN,3316,,0,320 QZ,2857,BDO,3896,SUB,3928,,0,320 QZ,2857,BKI,3269,DPS,3940,,0,320 QZ,2857,CGK,3275,DMK,3157,,0,320 QZ,2857,CGK,3275,DPS,3940,,0,320 QZ,2857,CGK,3275,HKT,3179,,0,320 QZ,2857,CGK,3275,JHB,3303,,0,320 QZ,2857,CGK,3275,JOG,3898,,0,320 QZ,2857,CGK,3275,KUL,3304,,0,320 QZ,2857,CGK,3275,PEN,3308,,0,320 QZ,2857,CGK,3275,SIN,3316,,0,320 QZ,2857,CGK,3275,SUB,3928,,0,320 QZ,2857,DMK,3157,CGK,3275,,0,320 QZ,2857,DMK,3157,SUB,3928,,0,320 QZ,2857,DPS,3940,BDO,3896,,0,320 QZ,2857,DPS,3940,BKI,3269,,0,320 QZ,2857,DPS,3940,CGK,3275,,0,320 QZ,2857,DPS,3940,DRW,3999,,0,320 QZ,2857,DPS,3940,JOG,3898,,0,320 QZ,2857,DPS,3940,KUL,3304,,0,320 QZ,2857,DPS,3940,PER,3351,,0,320 QZ,2857,DPS,3940,SIN,3316,,0,320 QZ,2857,DPS,3940,SUB,3928,,0,320 QZ,2857,DPS,3940,UPG,3240,,0,320 QZ,2857,DRW,3999,DPS,3940,,0,320 QZ,2857,HKT,3179,CGK,3275,,0,320 QZ,2857,JHB,3303,BDO,3896,,0,320 QZ,2857,JHB,3303,CGK,3275,,0,320 QZ,2857,JHB,3303,SUB,3928,,0,320 QZ,2857,JOG,3898,CGK,3275,,0,320 QZ,2857,JOG,3898,DPS,3940,,0,320 QZ,2857,JOG,3898,SIN,3316,,0,320 QZ,2857,KUL,3304,BDO,3896,,0,320 QZ,2857,KUL,3304,CGK,3275,,0,320 QZ,2857,KUL,3304,DPS,3940,,0,320 QZ,2857,KUL,3304,SUB,3928,,0,320 QZ,2857,PEN,3308,CGK,3275,,0,320 QZ,2857,PEN,3308,SUB,3928,,0,320 QZ,2857,PER,3351,DPS,3940,,0,320 QZ,2857,PKU,3273,BDO,3896,,0,320 QZ,2857,SIN,3316,BDO,3896,,0,320 QZ,2857,SIN,3316,CGK,3275,,0,320 QZ,2857,SIN,3316,DPS,3940,,0,320 QZ,2857,SIN,3316,JOG,3898,,0,320 QZ,2857,SIN,3316,SRG,3901,,0,320 QZ,2857,SIN,3316,SUB,3928,,0,320 QZ,2857,SRG,3901,SIN,3316,,0,320 QZ,2857,SUB,3928,BDO,3896,,0,320 QZ,2857,SUB,3928,CGK,3275,,0,320 QZ,2857,SUB,3928,DMK,3157,,0,320 QZ,2857,SUB,3928,DPS,3940,,0,320 QZ,2857,SUB,3928,JHB,3303,,0,320 QZ,2857,SUB,3928,KUL,3304,,0,320 QZ,2857,SUB,3928,PEN,3308,,0,320 QZ,2857,SUB,3928,SIN,3316,,0,320 QZ,2857,SUB,3928,UPG,3240,,0,320 QZ,2857,UPG,3240,DPS,3940,,0,320 QZ,2857,UPG,3240,SUB,3928,,0,320 R2,3805,DME,4029,OSW,6164,,0,738 R2,3805,DME,4029,REN,2991,,0,738 R2,3805,LBD,6147,REN,2991,,0,738 R2,3805,LED,2948,REN,2991,,0,738 R2,3805,OSW,6164,DME,4029,,0,738 R2,3805,REN,2991,DME,4029,,0,738 R2,3805,REN,2991,DYU,2979,,0,738 R2,3805,REN,2991,LBD,6147,,0,738 R2,3805,REN,2991,LED,2948,,0,738 R3,1287,AER,2965,KRR,2960,,0,DH4 R3,1287,BQS,2926,KHV,2927,,0,DH4 R3,1287,BQS,2926,YKS,2923,,0,DH4 R3,1287,BTK,2936,VKO,2988,,0,73W R3,1287,CKH,6093,YKS,2923,,0,A40 R3,1287,CYX,6094,YKS,2923,,0,A40 R3,1287,DYR,6098,KHV,2927,,0,73W R3,1287,DYU,2979,IKT,2937,,0,73W R3,1287,DYU,2979,KRR,2960,,0,73W R3,1287,EGO,6156,KRR,2960,,0,DH4 R3,1287,FEG,6149,KRR,2960,,0,73H R3,1287,GDX,2930,KHV,2927,,0,SU9 R3,1287,HRB,3400,YKS,2923,,0,SU9 R3,1287,IKS,6095,YKS,2923,,0,DH4 A40 R3,1287,IKT,2937,DYU,2979,,0,73W R3,1287,IKT,2937,NER,\N,,0,DH4 R3,1287,IKT,2937,TAS,2983,,0,73H R3,1287,IKT,2937,YKS,2923,,0,73W 73H R3,1287,KHV,2927,BQS,2926,,0,DH4 R3,1287,KHV,2927,DYR,6098,,0,73W R3,1287,KHV,2927,GDX,2930,,0,SU9 R3,1287,KHV,2927,NER,\N,,0,DH4 R3,1287,KHV,2927,NGK,\N,,0,DH4 R3,1287,KHV,2927,OHH,7479,,0,DH4 R3,1287,KHV,2927,YKS,2923,,0,SU9 DH4 73W R3,1287,KJA,4374,YKS,2923,,0,DH4 R3,1287,KRR,2960,AER,2965,,0,DH4 R3,1287,KRR,2960,DYU,2979,,0,73W R3,1287,KRR,2960,EGO,6156,,0,DH4 R3,1287,KRR,2960,FEG,6149,,0,73H R3,1287,KRR,2960,IST,1701,,0,73W R3,1287,KRR,2960,LCA,1197,,0,73W R3,1287,KRR,2960,MCX,2961,,0,DH4 R3,1287,KRR,2960,NUX,4364,,0,73W R3,1287,KRR,2960,PRG,1587,,0,73W 73H R3,1287,KRR,2960,RMI,1546,,0,73H R3,1287,KRR,2960,TAS,2983,,0,73W R3,1287,KRR,2960,TLV,1590,,0,73W R3,1287,KRR,2960,VKO,2988,,0,73W R3,1287,LCA,1197,KRR,2960,,0,73W R3,1287,LED,2948,YKS,2923,,0,73H R3,1287,MCX,2961,KRR,2960,,0,DH4 R3,1287,MJZ,2925,YKS,2923,,0,A40 R3,1287,MQJ,\N,YKS,2923,,0,A40 R3,1287,MRV,2962,TLV,1590,,0,73W R3,1287,NER,\N,IKT,2937,,0,DH4 R3,1287,NER,\N,KHV,2927,,0,DH4 R3,1287,NER,\N,VKO,2988,,0,73W R3,1287,NER,\N,YKS,2923,,0,A40 R3,1287,NGK,\N,KHV,2927,,0,DH4 R3,1287,NUX,4364,KRR,2960,,0,73W R3,1287,OHH,7479,KHV,2927,,0,DH4 R3,1287,PEK,3364,YKS,2923,,0,73W R3,1287,PRG,1587,KRR,2960,,0,73W 73H R3,1287,PWE,2931,VKO,2988,,0,752 R3,1287,PYJ,6092,YKS,2923,,0,A40 R3,1287,RMI,1546,KRR,2960,,0,73H R3,1287,TAS,2983,IKT,2937,,0,73H R3,1287,TAS,2983,KRR,2960,,0,73W R3,1287,TLV,1590,KRR,2960,,0,73W R3,1287,TLV,1590,MRV,2962,,0,73W R3,1287,ULK,9026,YKS,2923,,0,A40 R3,1287,UUD,2938,YKS,2923,,0,DH4 R3,1287,VKO,2988,BTK,2936,,0,73W R3,1287,VKO,2988,KRR,2960,,0,73W R3,1287,VKO,2988,NER,\N,,0,73W R3,1287,VKO,2988,PWE,2931,,0,752 R3,1287,VKO,2988,YKS,2923,,0,73H R3,1287,VVO,2934,YKS,2923,,0,SU9 R3,1287,YKS,2923,BQS,2926,,0,DH4 R3,1287,YKS,2923,CKH,6093,,0,A40 R3,1287,YKS,2923,CYX,6094,,0,A40 R3,1287,YKS,2923,HRB,3400,,0,SU9 R3,1287,YKS,2923,IKS,6095,,0,DH4 A40 R3,1287,YKS,2923,IKT,2937,,0,73W 73H R3,1287,YKS,2923,KHV,2927,,0,SU9 DH4 73W R3,1287,YKS,2923,KJA,4374,,0,DH4 R3,1287,YKS,2923,LED,2948,,0,73H R3,1287,YKS,2923,MJZ,2925,,0,A40 R3,1287,YKS,2923,MQJ,\N,,0,A40 R3,1287,YKS,2923,NER,\N,,0,A40 R3,1287,YKS,2923,PEK,3364,,0,73W R3,1287,YKS,2923,PYJ,6092,,0,A40 R3,1287,YKS,2923,ULK,9026,,0,A40 R3,1287,YKS,2923,UUD,2938,,0,DH4 R3,1287,YKS,2923,VKO,2988,,0,73H R3,1287,YKS,2923,VVO,2934,,0,SU9 R7,622,AUA,2895,CCS,2851,,0,M80 R7,622,BLA,2821,CCS,2851,,0,M80 DC9 R7,622,BLA,2821,PZO,2856,,0,M80 R7,622,BLA,2821,VLN,2868,,0,M80 R7,622,BRM,2824,CCS,2851,,0,DC9 M80 R7,622,CCS,2851,AUA,2895,,0,M80 R7,622,CCS,2851,BLA,2821,,0,M80 DC9 R7,622,CCS,2851,BRM,2824,,0,DC9 R7,622,CCS,2851,LSP,2844,,0,DC9 R7,622,CCS,2851,MAR,2848,,0,DC9 M80 R7,622,CCS,2851,MUN,2852,,0,DC9 R7,622,CCS,2851,PMV,2850,,0,M80 DC9 R7,622,CCS,2851,PZO,2856,,0,DC9 M80 R7,622,CCS,2851,STD,2861,,0,M80 DC9 R7,622,LSP,2844,CCS,2851,,0,DC9 R7,622,MAR,2848,CCS,2851,,0,M80 DC9 R7,622,MAR,2848,VLN,2868,,0,M80 R7,622,MUN,2852,CCS,2851,,0,DC9 R7,622,PMV,2850,CCS,2851,,0,M80 DC9 R7,622,PMV,2850,PZO,2856,,0,M80 R7,622,PZO,2856,BLA,2821,,0,M80 R7,622,PZO,2856,CCS,2851,,0,M80 DC9 R7,622,PZO,2856,PMV,2850,,0,M80 R7,622,STD,2861,CCS,2851,,0,M80 DC9 R7,622,VLN,2868,BLA,2821,,0,M80 R7,622,VLN,2868,MAR,2848,,0,M80 RA,3637,BKK,3885,KTM,3125,,0,757 RA,3637,DOH,11051,KTM,3125,,0,757 RA,3637,HKG,3077,KTM,3125,,0,757 RA,3637,KTM,3125,BKK,3885,,0,757 RA,3637,KTM,3125,DOH,11051,,0,757 RA,3637,KTM,3125,HKG,3077,,0,757 RA,3637,KTM,3125,KUL,3304,,0,757 RA,3637,KUL,3304,KTM,3125,,0,757 RC,881,BGO,636,FAE,625,,0,319 RC,881,BLL,608,FAE,625,,0,319 RC,881,CPH,609,FAE,625,,0,319 RC,881,FAE,625,BGO,636,,0,319 RC,881,FAE,625,BLL,608,,0,319 RC,881,FAE,625,CPH,609,,0,319 RC,881,FAE,625,SVG,666,,0,319 RC,881,SVG,666,BGO,636,,0,319 RC,881,SVG,666,FAE,625,,0,319 RG,5368,AZI,2180,DXB,2188,,0,ERJ RG,5368,AZI,2180,FJR,2189,,0,ERJ RG,5368,AZI,2180,XSB,8961,,0,ERJ RG,5368,AZI,2180,ZDY,8962,,0,ERJ RG,5368,DXB,2188,AZI,2180,,0,ERJ RG,5368,DXB,2188,XSB,8961,,0,ERJ RG,5368,FJR,2189,AZI,2180,,0,ERJ RG,5368,XSB,8961,AZI,2180,,0,ERJ RG,5368,XSB,8961,DXB,2188,,0,ERJ RG,5368,ZDY,8962,AZI,2180,,0,ERJ RI,3391,BKK,3885,CGK,3275,,0,320 RI,3391,CGK,3275,BKK,3885,,0,320 RI,3391,CGK,3275,DPS,3940,,0,320 RI,3391,CGK,3275,PKU,3273,,0,320 RI,3391,CGK,3275,SIN,3316,,0,320 RI,3391,DPS,3940,CGK,3275,,0,320 RI,3391,DPS,3940,HKG,3077,,0,320 RI,3391,DPS,3940,SIN,3316,,0,320 RI,3391,HKG,3077,DPS,3940,,0,320 RI,3391,JOG,3898,PKU,3273,,0,320 RI,3391,JOG,3898,PLM,3289,,0,320 RI,3391,PKU,3273,CGK,3275,,0,320 RI,3391,PKU,3273,JOG,3898,,0,320 RI,3391,PLM,3289,JOG,3898,,0,320 RI,3391,SIN,3316,CGK,3275,,0,320 RI,3391,SIN,3316,DPS,3940,,0,320 RJ,4259,ADE,3977,AMM,2170,,0,320 E95 E75 RJ,4259,ALG,210,AMM,2170,,0,320 RJ,4259,AMM,2170,ADE,3977,,0,320 E95 E75 RJ,4259,AMM,2170,ALG,210,,0,320 319 RJ,4259,AMM,2170,AMS,580,,0,321 319 RJ,4259,AMM,2170,AQJ,2172,,0,320 E95 E75 319 RJ,4259,AMM,2170,ATH,3941,,0,E75 E95 RJ,4259,AMM,2170,AUH,2179,,0,319 320 RJ,4259,AMM,2170,BAH,2057,Y,0,320 321 RJ,4259,AMM,2170,BCN,1218,,0,320 RJ,4259,AMM,2170,BEN,1154,,0,E95 319 E75 RJ,4259,AMM,2170,BEY,2177,,0,E75 E95 320 319 RJ,4259,AMM,2170,BGW,4130,,0,320 E75 E95 RJ,4259,AMM,2170,BKK,3885,,0,330 RJ,4259,AMM,2170,BOM,2997,,0,319 RJ,4259,AMM,2170,BSR,2234,,0,E95 E75 RJ,4259,AMM,2170,CAI,1128,,0,E95 E75 319 RJ,4259,AMM,2170,CDG,1382,,0,319 320 321 RJ,4259,AMM,2170,DEL,3093,,0,319 RJ,4259,AMM,2170,DME,4029,,0,320 321 RJ,4259,AMM,2170,DMM,2064,,0,E95 320 RJ,4259,AMM,2170,DOH,11051,,0,319 E95 320 RJ,4259,AMM,2170,DXB,2188,,0,320 321 330 RJ,4259,AMM,2170,EBL,3989,,0,319 E95 E75 RJ,4259,AMM,2170,FCO,1555,,0,320 321 319 RJ,4259,AMM,2170,FRA,340,,0,319 RJ,4259,AMM,2170,GVA,1665,,0,320 319 RJ,4259,AMM,2170,IST,1701,,0,320 E75 319 E95 RJ,4259,AMM,2170,ISU,5952,,0,E75 RJ,4259,AMM,2170,JED,2072,,0,321 E95 320 E75 319 RJ,4259,AMM,2170,JFK,3797,,0,340 330 RJ,4259,AMM,2170,KBP,2939,,0,E95 RJ,4259,AMM,2170,KRT,1175,,0,320 RJ,4259,AMM,2170,KWI,2176,,0,E95 320 RJ,4259,AMM,2170,LCA,1197,,0,E95 E75 319 RJ,4259,AMM,2170,LHR,507,,0,330 321 RJ,4259,AMM,2170,LOS,273,,0,320 RJ,4259,AMM,2170,MAD,1229,,0,319 320 RJ,4259,AMM,2170,MCT,2194,,0,73G 73J RJ,4259,AMM,2170,MED,2074,,0,320 340 321 RJ,4259,AMM,2170,MRA,5804,,0,E95 E75 RJ,4259,AMM,2170,MUC,346,,0,319 RJ,4259,AMM,2170,ORD,3830,,0,340 RJ,4259,AMM,2170,OSM,\N,,0,E75 E95 RJ,4259,AMM,2170,OTP,1657,,0,318 RJ,4259,AMM,2170,RUH,2082,,0,E75 320 E95 340 RJ,4259,AMM,2170,SAH,3980,,0,320 340 RJ,4259,AMM,2170,SSH,4057,,0,320 RJ,4259,AMM,2170,TIP,1157,,0,E95 321 320 330 RJ,4259,AMM,2170,TLV,1590,,0,E75 E95 320 319 RJ,4259,AMM,2170,TUN,287,,0,319 E75 E95 RJ,4259,AMM,2170,TXL,351,,0,320 319 RJ,4259,AMM,2170,VIE,1613,,0,320 319 RJ,4259,AMM,2170,YUL,146,,0,330 RJ,4259,AMM,2170,ZRH,1678,,0,319 RJ,4259,AMS,580,AMM,2170,,0,321 319 RJ,4259,AQJ,2172,AMM,2170,,0,320 E95 E75 319 RJ,4259,ATH,3941,AMM,2170,,0,E75 E95 RJ,4259,AUH,2179,AMM,2170,,0,319 320 RJ,4259,BAH,2057,AMM,2170,Y,0,320 321 RJ,4259,BCN,1218,AMM,2170,,0,320 RJ,4259,BEN,1154,AMM,2170,,0,E95 319 E75 RJ,4259,BEY,2177,AMM,2170,,0,E75 E95 320 319 RJ,4259,BGW,4130,AMM,2170,,0,320 E75 E95 RJ,4259,BKK,3885,AMM,2170,,0,330 RJ,4259,BKK,3885,HKG,3077,,0,330 RJ,4259,BKK,3885,KUL,3304,,0,330 RJ,4259,BOM,2997,AMM,2170,,0,319 RJ,4259,BSR,2234,AMM,2170,,0,E95 E75 RJ,4259,CAI,1128,AMM,2170,,0,E95 E75 319 RJ,4259,CDG,1382,AMM,2170,,0,319 320 321 RJ,4259,CPH,609,VIE,1613,Y,0,E90 RJ,4259,DEL,3093,AMM,2170,,0,319 RJ,4259,DME,4029,AMM,2170,,0,320 321 RJ,4259,DMM,2064,AMM,2170,,0,E95 320 RJ,4259,DOH,11051,AMM,2170,,0,319 E95 320 RJ,4259,DTW,3645,YUL,146,,0,330 RJ,4259,DXB,2188,AMM,2170,,0,321 320 330 RJ,4259,EBL,3989,AMM,2170,,0,319 E95 E75 RJ,4259,FCO,1555,AMM,2170,,0,320 321 319 RJ,4259,FRA,340,AMM,2170,,0,319 RJ,4259,GVA,1665,AMM,2170,,0,319 RJ,4259,GVA,1665,ZRH,1678,,0,320 RJ,4259,HKG,3077,BKK,3885,,0,330 RJ,4259,IST,1701,AMM,2170,,0,320 E75 319 E95 RJ,4259,ISU,5952,AMM,2170,,0,E75 RJ,4259,JED,2072,AMM,2170,,0,321 E95 320 E75 319 RJ,4259,JFK,3797,AMM,2170,,0,340 330 RJ,4259,KBP,2939,AMM,2170,,0,E95 RJ,4259,KRT,1175,AMM,2170,,0,320 RJ,4259,KUL,3304,BKK,3885,,0,330 RJ,4259,KWI,2176,AMM,2170,,0,320 E95 RJ,4259,LCA,1197,AMM,2170,,0,E95 E75 319 RJ,4259,LHR,507,AMM,2170,,0,330 321 RJ,4259,LOS,273,AMM,2170,,0,320 RJ,4259,MAD,1229,AMM,2170,,0,319 320 RJ,4259,MCT,2194,AMM,2170,,0,73G 73J RJ,4259,MED,2074,AMM,2170,,0,320 340 321 RJ,4259,MRA,5804,AMM,2170,,0,E95 E75 RJ,4259,MUC,346,AMM,2170,,0,319 RJ,4259,MUC,346,VIE,1613,Y,0,E90 RJ,4259,MXP,1524,VIE,1613,,0,E90 RJ,4259,ORD,3830,AMM,2170,,0,340 RJ,4259,OSM,\N,AMM,2170,,0,E75 E95 RJ,4259,OTP,1657,AMM,2170,,0,318 RJ,4259,RUH,2082,AMM,2170,,0,E75 320 E95 340 RJ,4259,SAH,3980,AMM,2170,,0,320 340 RJ,4259,SSH,4057,AMM,2170,,0,320 RJ,4259,TIP,1157,AMM,2170,,0,E95 321 320 330 RJ,4259,TLV,1590,AMM,2170,,0,E75 E95 320 319 RJ,4259,TUN,287,AMM,2170,,0,319 E75 E95 RJ,4259,TXL,351,AMM,2170,,0,320 319 RJ,4259,VIE,1613,AMM,2170,,0,320 319 RJ,4259,VIE,1613,CPH,609,Y,0,E90 RJ,4259,VIE,1613,MUC,346,Y,0,E90 RJ,4259,VIE,1613,MXP,1524,,0,E90 RJ,4259,VIE,1613,ZRH,1678,,0,320 RJ,4259,YUL,146,AMM,2170,,0,330 RJ,4259,YUL,146,DTW,3645,,0,330 RJ,4259,ZRH,1678,AMM,2170,,0,320 319 RJ,4259,ZRH,1678,GVA,1665,,0,319 RJ,4259,ZRH,1678,VIE,1613,,0,321 E90 RL,11857,AMM,2170,CAI,1128,,0,737 RL,11857,AMM,2170,EBL,3989,,0,320 RL,11857,AMM,2170,JED,2072,,0,320 RL,11857,AMM,2170,OSM,\N,,0,320 RL,11857,CAI,1128,AMM,2170,,0,737 RL,11857,EBL,3989,AMM,2170,,0,320 RL,11857,JED,2072,AMM,2170,,0,320 RL,11857,NJF,7490,AMM,2170,,0,320 RL,11857,OSM,\N,AMM,2170,,0,320 RO,5179,AMM,2170,OTP,1657,,0,318 RO,5179,AMS,580,OTP,1657,,0,733 RO,5179,ATH,3941,OTP,1657,,0,73W RO,5179,BAY,1649,OTP,1657,,0,AT5 RO,5179,BCN,1218,OTP,1657,,0,73W RO,5179,BEG,1739,OTP,1657,,0,AT5 AT7 RO,5179,BEY,2177,OTP,1657,,0,733 RO,5179,BLQ,1538,IAS,1655,,0,733 RO,5179,BRU,302,OTP,1657,,0,318 733 RO,5179,BUD,1489,OTP,1657,,0,AT5 AT7 RO,5179,CDG,1382,OTP,1657,,0,73W 318 RO,5179,CLJ,1652,OTP,1657,,0,318 AT7 AT5 RO,5179,CLJ,1652,PRG,1587,,0,AT5 RO,5179,CLJ,1652,VIE,1613,,0,AT5 RO,5179,DUB,599,OTP,1657,,0,73W RO,5179,DXB,2188,OTP,1657,,0,73W RO,5179,FCO,1555,IAS,1655,,0,733 RO,5179,FCO,1555,OTP,1657,,0,733 RO,5179,FRA,340,OTP,1657,,0,318 RO,5179,GVA,1665,OTP,1657,,0,733 318 RO,5179,IAS,1655,BLQ,1538,,0,733 RO,5179,IAS,1655,FCO,1555,,0,733 RO,5179,IAS,1655,LTN,492,,0,733 RO,5179,IAS,1655,OTP,1657,,0,AT7 AT5 RO,5179,IAS,1655,TLV,1590,,0,733 RO,5179,IAS,1655,TRN,1526,,0,733 RO,5179,IAS,1655,VIE,1613,Y,0,DH4 RO,5179,IST,1701,OTP,1657,,0,318 RO,5179,KIV,1735,OTP,1657,,0,AT5 AT7 RO,5179,LCA,1197,OTP,1657,,0,318 RO,5179,LHR,507,OTP,1657,,0,318 RO,5179,LIN,1529,OTP,1657,Y,0,32S RO,5179,LTN,492,IAS,1655,,0,733 RO,5179,MAD,1229,OTP,1657,,0,73H RO,5179,MUC,346,OTP,1657,,0,733 RO,5179,MUC,346,SBZ,1658,,0,73W RO,5179,NCE,1354,OTP,1657,,0,733 RO,5179,OMR,1656,OTP,1657,,0,AT5 RO,5179,OTP,1657,AMM,2170,,0,318 RO,5179,OTP,1657,AMS,580,,0,733 RO,5179,OTP,1657,ATH,3941,,0,733 RO,5179,OTP,1657,BAY,1649,,0,AT5 RO,5179,OTP,1657,BCN,1218,,0,73W RO,5179,OTP,1657,BEG,1739,,0,AT5 AT7 RO,5179,OTP,1657,BEY,2177,,0,733 RO,5179,OTP,1657,BRU,302,,0,318 733 RO,5179,OTP,1657,BUD,1489,,0,AT5 AT7 RO,5179,OTP,1657,CDG,1382,,0,73W 318 RO,5179,OTP,1657,CLJ,1652,,0,AT5 AT7 318 RO,5179,OTP,1657,DUB,599,,0,73W RO,5179,OTP,1657,DXB,2188,,0,73W RO,5179,OTP,1657,FCO,1555,,0,73W 32S RO,5179,OTP,1657,FRA,340,,0,318 733 RO,5179,OTP,1657,GVA,1665,,0,733 318 RO,5179,OTP,1657,IAS,1655,,0,AT5 AT7 RO,5179,OTP,1657,IST,1701,,0,318 RO,5179,OTP,1657,KIV,1735,,0,AT7 RO,5179,OTP,1657,LCA,1197,,0,318 RO,5179,OTP,1657,LHR,507,,0,318 RO,5179,OTP,1657,LIN,1529,Y,0,32S RO,5179,OTP,1657,MAD,1229,,0,73H RO,5179,OTP,1657,MUC,346,,0,73W 733 RO,5179,OTP,1657,NCE,1354,,0,733 RO,5179,OTP,1657,OMR,1656,,0,AT5 RO,5179,OTP,1657,PRG,1587,,0,73W RO,5179,OTP,1657,SKG,1486,,0,AT5 RO,5179,OTP,1657,SOF,1194,,0,AT5 RO,5179,OTP,1657,SUJ,1659,,0,AT5 RO,5179,OTP,1657,SVO,2985,,0,733 73G RO,5179,OTP,1657,TLV,1590,,0,310 733 RO,5179,OTP,1657,TSR,1663,,0,733 AT5 318 AT7 RO,5179,OTP,1657,VIE,1613,,0,318 73W 733 RO,5179,OTP,1657,WAW,679,,0,E70 RO,5179,PRG,1587,CLJ,1652,,0,AT5 RO,5179,PRG,1587,OTP,1657,,0,73W RO,5179,SBZ,1658,MUC,346,,0,73W RO,5179,SBZ,1658,OTP,1657,,0,73W RO,5179,SBZ,1658,VIE,1613,Y,0,DH4 RO,5179,SKG,1486,OTP,1657,,0,AT5 RO,5179,SOF,1194,OTP,1657,,0,AT5 RO,5179,SUJ,1659,OTP,1657,,0,AT5 RO,5179,SVO,2985,OTP,1657,,0,733 RO,5179,TGM,1662,OTP,1657,,0,AT5 RO,5179,TLV,1590,IAS,1655,,0,733 RO,5179,TLV,1590,OTP,1657,,0,310 733 RO,5179,TRN,1526,IAS,1655,,0,733 RO,5179,TSR,1663,OTP,1657,,0,318 733 AT7 AT5 RO,5179,VIE,1613,CLJ,1652,,0,AT5 RO,5179,VIE,1613,IAS,1655,Y,0,DH4 RO,5179,VIE,1613,OTP,1657,,0,318 73W 733 RO,5179,VIE,1613,SBZ,1658,Y,0,DH4 RO,5179,WAW,679,OTP,1657,,0,E70 RQ,3097,DEL,3093,KBL,2050,,0,M82 320 RQ,3097,DXB,2188,KBL,2050,,0,320 RQ,3097,KBL,2050,DEL,3093,,0,M82 320 RQ,3097,KBL,2050,DXB,2188,,0,320 M87 RQ,3097,KBL,2050,DYU,2979,,0,M87 RX,19676,BKK,3885,CGP,3069,,0,737 RX,19676,BKK,3885,DAC,3076,,0,737 RX,19676,CCU,3043,CGP,3069,,0,DH8 RX,19676,CCU,3043,DAC,3076,,0,DH8 RX,19676,CGP,3069,BKK,3885,,0,737 RX,19676,CGP,3069,CCU,3043,,0,DH8 RX,19676,CGP,3069,DAC,3076,,0,737 DH8 RX,19676,CXB,3068,DAC,3076,,0,DH8 RX,19676,DAC,3076,BKK,3885,,0,737 RX,19676,DAC,3076,CCU,3043,,0,DH8 RX,19676,DAC,3076,CGP,3069,,0,737 DH8 RX,19676,DAC,3076,CXB,3068,,0,DH8 RX,19676,DAC,3076,JSR,3071,,0,DH8 RX,19676,DAC,3076,KUL,3304,,0,737 RX,19676,DAC,3076,SIN,3316,,0,737 RX,19676,DAC,3076,ZYL,3074,,0,DH8 RX,19676,JSR,3071,DAC,3076,,0,DH8 RX,19676,KUL,3304,DAC,3076,,0,737 RX,19676,SIN,3316,DAC,3076,,0,737 RX,19676,ZYL,3074,DAC,3076,,0,DH8 RZ,2226,DRK,6945,SJO,1885,,0,CNA RZ,2226,GLF,1879,SJO,1885,,0,CNA RZ,2226,LIR,1881,SJO,1885,,0,CNA RZ,2226,PJM,5847,SJO,1885,,0,CNA RZ,2226,PMZ,1887,SJO,1885,,0,CNA RZ,2226,SJO,1885,DRK,6945,,0,CNA RZ,2226,SJO,1885,FON,6731,,0,CNA RZ,2226,SJO,1885,GLF,1879,,0,CNA RZ,2226,SJO,1885,LIR,1881,,0,CNA RZ,2226,SJO,1885,PJM,5847,,0,CNA RZ,2226,SJO,1885,PMZ,1887,,0,CNA RZ,2226,SJO,1885,TMU,6732,,0,CNA RZ,2226,SJO,1885,TNO,5844,,0,CNA RZ,2226,SJO,1885,XQP,1889,,0,CNA RZ,2226,TMU,6732,SJO,1885,,0,CNA RZ,2226,TNO,5844,SJO,1885,,0,CNA RZ,2226,XQP,1889,SJO,1885,,0,CNA S2,241,AJL,3039,CCU,3043,Y,0,AT7 S2,241,AJL,3039,GAU,6173,Y,0,AT7 S2,241,AMD,2994,BOM,2997,Y,0,738 73H S2,241,AMD,2994,DEL,3093,Y,0,738 73W S2,241,ATQ,3081,DEL,3093,Y,0,AT7 73H 738 S2,241,BDQ,3001,BOM,2997,Y,0,73W 738 73H S2,241,BHJ,2999,BOM,2997,Y,0,AT7 73H S2,241,BHO,3002,BOM,2997,Y,0,73G 738 S2,241,BHO,3002,DEL,3093,Y,0,AT7 S2,241,BHU,3003,BOM,2997,Y,0,73G S2,241,BLR,3131,BOM,2997,Y,0,738 73W 73G 73H 739 S2,241,BLR,3131,CCU,3043,Y,0,738 S2,241,BLR,3131,CJB,3135,Y,0,AT7 S2,241,BLR,3131,COK,3136,Y,0,AT7 S2,241,BLR,3131,DEL,3093,Y,0,73H 739 738 S2,241,BLR,3131,GOI,3007,Y,0,AT7 S2,241,BLR,3131,HYD,\N,Y,0,AT7 S2,241,BLR,3131,IDR,3008,Y,0,738 S2,241,BLR,3131,IXE,3143,Y,0,AT7 738 S2,241,BLR,3131,MAA,3144,Y,0,739 AT7 738 S2,241,BLR,3131,PNQ,3017,Y,0,738 S2,241,BLR,3131,TRV,3153,Y,0,73H S2,241,BLR,3131,VTZ,3066,Y,0,73G S2,241,BOM,2997,AMD,2994,Y,0,738 73H S2,241,BOM,2997,BDQ,3001,,0,73H 738 S2,241,BOM,2997,BHJ,2999,Y,0,AT7 73H S2,241,BOM,2997,BHO,3002,Y,0,73G S2,241,BOM,2997,BHU,3003,Y,0,73G S2,241,BOM,2997,BLR,3131,Y,0,738 73W 73G 73H 739 S2,241,BOM,2997,CCJ,3137,Y,0,738 S2,241,BOM,2997,CCU,3043,Y,0,738 73H S2,241,BOM,2997,CJB,3135,Y,0,738 S2,241,BOM,2997,COK,3136,Y,0,73H S2,241,BOM,2997,DEL,3093,Y,0,73H 739 738 S2,241,BOM,2997,DIU,5711,Y,0,AT7 S2,241,BOM,2997,GOI,3007,Y,0,73H 73G 738 S2,241,BOM,2997,HYD,\N,Y,0,738 73G 73H S2,241,BOM,2997,IDR,3008,Y,0,73H 73G S2,241,BOM,2997,IXC,3089,Y,0,738 S2,241,BOM,2997,IXE,3143,Y,0,73H S2,241,BOM,2997,IXU,2996,Y,0,738 AT7 S2,241,BOM,2997,JAI,3098,Y,0,73G 73W S2,241,BOM,2997,JDH,3097,Y,0,73H S2,241,BOM,2997,LKO,3105,Y,0,73H S2,241,BOM,2997,MAA,3144,Y,0,738 73H S2,241,BOM,2997,NAG,3015,Y,0,73G S2,241,BOM,2997,PNQ,3017,Y,0,738 S2,241,BOM,2997,RAJ,3019,Y,0,73G S2,241,BOM,2997,RPR,3020,Y,0,738 S2,241,BOM,2997,TRV,3153,Y,0,73H S2,241,BOM,2997,UDR,3023,Y,0,73H 73G S2,241,BOM,2997,VTZ,3066,Y,0,738 S2,241,CCJ,3137,BOM,2997,Y,0,738 S2,241,CCU,3043,AJL,3039,Y,0,AT7 S2,241,CCU,3043,BLR,3131,Y,0,738 S2,241,CCU,3043,BOM,2997,Y,0,738 73H S2,241,CCU,3043,DEL,3093,Y,0,738 S2,241,CCU,3043,GAU,6173,Y,0,AT7 738 S2,241,CCU,3043,IXA,3038,Y,0,AT7 S2,241,CCU,3043,IXB,3040,Y,0,738 S2,241,CCU,3043,IXR,3063,Y,0,AT7 S2,241,CCU,3043,IXS,3055,Y,0,AT7 S2,241,CCU,3043,IXZ,3146,Y,0,738 S2,241,CCU,3043,PAT,3061,Y,0,AT7 S2,241,CCU,3043,VNS,3084,Y,0,AT7 S2,241,CCU,3043,VTZ,3066,Y,0,73G S2,241,CJB,3135,BLR,3131,Y,0,AT7 S2,241,CJB,3135,BOM,2997,Y,0,738 S2,241,CJB,3135,MAA,3144,Y,0,AT7 S2,241,COK,3136,BLR,3131,Y,0,AT7 S2,241,COK,3136,BOM,2997,Y,0,73H S2,241,COK,3136,MAA,3144,Y,0,AT7 73H S2,241,DED,3092,DEL,3093,Y,0,73H 738 AT7 S2,241,DEL,3093,AMD,2994,Y,0,73W 738 S2,241,DEL,3093,ATQ,3081,Y,0,AT7 73H 738 S2,241,DEL,3093,BHO,3002,Y,0,AT7 S2,241,DEL,3093,BLR,3131,Y,0,738 73H 739 S2,241,DEL,3093,BOM,2997,Y,0,739 738 73H S2,241,DEL,3093,CCU,3043,Y,0,738 S2,241,DEL,3093,DED,3092,Y,0,73H 738 AT7 S2,241,DEL,3093,GAU,6173,Y,0,738 S2,241,DEL,3093,GOP,6741,Y,0,AT7 S2,241,DEL,3093,HYD,\N,Y,0,73W 738 S2,241,DEL,3093,IDR,3008,Y,0,73H AT7 S2,241,DEL,3093,IXB,3040,Y,0,73W S2,241,DEL,3093,IXC,3089,Y,0,738 AT7 S2,241,DEL,3093,IXJ,3100,Y,0,73H 738 S2,241,DEL,3093,IXL,3104,Y,0,73W S2,241,DEL,3093,IXR,3063,Y,0,73H S2,241,DEL,3093,JAI,3098,Y,0,738 AT7 73H S2,241,DEL,3093,JDH,3097,Y,0,AT7 S2,241,DEL,3093,LKO,3105,Y,0,AT7 73W 739 738 S2,241,DEL,3093,MAA,3144,Y,0,73H 738 S2,241,DEL,3093,PAT,3061,Y,0,73H S2,241,DEL,3093,PNQ,3017,Y,0,738 73H 73W S2,241,DEL,3093,RPR,3020,Y,0,73W S2,241,DEL,3093,SXR,3112,Y,0,738 73H S2,241,DEL,3093,UDR,3023,Y,0,AT7 S2,241,DEL,3093,VNS,3084,Y,0,738 S2,241,DIB,3057,GAU,6173,Y,0,738 S2,241,DIU,5711,PBD,3018,Y,0,AT7 S2,241,GAU,6173,AJL,3039,Y,0,AT7 S2,241,GAU,6173,CCU,3043,Y,0,AT7 738 S2,241,GAU,6173,DEL,3093,Y,0,738 S2,241,GAU,6173,DIB,3057,Y,0,738 S2,241,GAU,6173,IMF,3050,Y,0,738 S2,241,GAU,6173,IXS,3055,Y,0,AT7 S2,241,GOI,3007,BLR,3131,Y,0,AT7 S2,241,GOI,3007,BOM,2997,Y,0,73H 73G 738 S2,241,GOI,3007,MAA,3144,Y,0,738 S2,241,GOP,6741,DEL,3093,Y,0,AT7 S2,241,HYD,\N,BLR,3131,Y,0,AT7 S2,241,HYD,\N,BOM,2997,Y,0,738 73G 73H S2,241,HYD,\N,DEL,3093,Y,0,738 73W S2,241,HYD,\N,MAA,3144,Y,0,738 AT7 S2,241,HYD,\N,PNQ,3017,Y,0,AT7 S2,241,HYD,\N,RJA,3148,Y,0,AT7 S2,241,IDR,3008,BLR,3131,Y,0,738 S2,241,IDR,3008,BOM,2997,Y,0,73H 73G S2,241,IDR,3008,DEL,3093,Y,0,73H AT7 S2,241,IDR,3008,PNQ,3017,Y,0,AT7 S2,241,IMF,3050,GAU,6173,Y,0,738 S2,241,IXA,3038,CCU,3043,Y,0,AT7 S2,241,IXB,3040,CCU,3043,Y,0,738 S2,241,IXB,3040,DEL,3093,Y,0,73W S2,241,IXC,3089,BOM,2997,Y,0,738 S2,241,IXC,3089,DEL,3093,Y,0,738 AT7 S2,241,IXE,3143,BLR,3131,Y,0,AT7 738 S2,241,IXE,3143,BOM,2997,Y,0,73H S2,241,IXJ,3100,DEL,3093,Y,0,73H 738 S2,241,IXL,3104,DEL,3093,Y,0,73W S2,241,IXM,3142,MAA,3144,Y,0,AT7 S2,241,IXR,3063,CCU,3043,Y,0,AT7 S2,241,IXR,3063,DEL,3093,Y,0,73H S2,241,IXS,3055,CCU,3043,Y,0,AT7 S2,241,IXS,3055,GAU,6173,Y,0,AT7 S2,241,IXU,2996,BOM,2997,Y,0,738 AT7 S2,241,IXZ,3146,CCU,3043,Y,0,738 S2,241,IXZ,3146,MAA,3144,Y,0,73H S2,241,JAI,3098,BOM,2997,Y,0,73G 73W S2,241,JAI,3098,DEL,3093,Y,0,738 AT7 73H S2,241,JDH,3097,BOM,2997,Y,0,73H S2,241,JDH,3097,DEL,3093,Y,0,AT7 S2,241,LKO,3105,BOM,2997,Y,0,73H S2,241,LKO,3105,DEL,3093,Y,0,AT7 73W 739 738 S2,241,MAA,3144,BLR,3131,Y,0,AT7 739 738 73H S2,241,MAA,3144,BOM,2997,Y,0,738 73H S2,241,MAA,3144,CJB,3135,Y,0,AT7 S2,241,MAA,3144,COK,3136,Y,0,AT7 73H S2,241,MAA,3144,DEL,3093,Y,0,738 S2,241,MAA,3144,GOI,3007,Y,0,738 S2,241,MAA,3144,HYD,\N,Y,0,738 S2,241,MAA,3144,IXM,3142,Y,0,AT7 S2,241,MAA,3144,IXZ,3146,Y,0,73H S2,241,MAA,3144,TRZ,3152,Y,0,AT7 S2,241,NAG,3015,BOM,2997,Y,0,73G S2,241,PAT,3061,CCU,3043,Y,0,AT7 S2,241,PAT,3061,DEL,3093,Y,0,73H S2,241,PBD,3018,BOM,2997,Y,0,AT7 S2,241,PNQ,3017,BLR,3131,Y,0,738 S2,241,PNQ,3017,BOM,2997,Y,0,738 S2,241,PNQ,3017,DEL,3093,Y,0,738 73H 73W S2,241,PNQ,3017,HYD,\N,Y,0,AT7 S2,241,PNQ,3017,IDR,3008,Y,0,AT7 S2,241,RAJ,3019,BOM,2997,Y,0,73G S2,241,RJA,3148,HYD,\N,Y,0,AT7 S2,241,RPR,3020,BHO,3002,Y,0,738 S2,241,RPR,3020,BOM,2997,Y,0,738 S2,241,RPR,3020,DEL,3093,Y,0,73W S2,241,SXR,3112,DEL,3093,Y,0,738 73H S2,241,TRV,3153,BLR,3131,Y,0,73H S2,241,TRV,3153,BOM,2997,Y,0,73H S2,241,TRZ,3152,MAA,3144,Y,0,AT7 S2,241,UDR,3023,BOM,2997,Y,0,73H 73G S2,241,UDR,3023,DEL,3093,Y,0,AT7 S2,241,VNS,3084,CCU,3043,Y,0,AT7 S2,241,VNS,3084,DEL,3093,Y,0,738 S2,241,VTZ,3066,BLR,3131,Y,0,73G S2,241,VTZ,3066,BOM,2997,Y,0,738 S2,241,VTZ,3066,CCU,3043,Y,0,73G S3,4735,CCS,2851,MIA,3576,,0,767 757 S3,4735,CCS,2851,PTY,1871,,0,757 S3,4735,CCS,2851,TFN,1057,,0,767 S3,4735,MIA,3576,CCS,2851,,0,767 757 S3,4735,PTY,1871,CCS,2851,,0,757 S3,4735,TFN,1057,CCS,2851,,0,767 S4,4304,AGP,1230,LIS,1638,Y,0,BEH S4,4304,AMS,580,LIS,1638,Y,0,319 S4,4304,AMS,580,PDL,1633,,0,320 S4,4304,ARN,737,LIS,1638,Y,0,320 S4,4304,BCN,1218,LIS,1638,Y,0,ER4 319 100 320 S4,4304,BCN,1218,OPO,1636,Y,0,ER4 S4,4304,BIO,1216,LIS,1638,Y,0,ER4 100 S4,4304,BOS,3448,LIS,1638,,0,313 S4,4304,BOS,3448,PDL,1633,,0,313 S4,4304,CPH,609,LIS,1638,Y,0,320 S4,4304,FAO,1626,LIS,1638,Y,0,319 320 ER4 S4,4304,FNC,4091,LIS,1638,Y,0,321 319 100 320 S4,4304,FNC,4091,LPA,1054,Y,0,DH4 S4,4304,FNC,4091,OPO,1636,Y,0,319 320 100 S4,4304,FNC,4091,PDL,1633,Y,0,DH4 S4,4304,FRA,340,LIS,1638,Y,0,319 S4,4304,FRA,340,PDL,1633,,0,320 S4,4304,HOR,1628,LIS,1638,,0,320 S4,4304,LGW,502,LIS,1638,Y,0,319 S4,4304,LGW,502,PDL,1633,,0,320 S4,4304,LHR,507,LIS,1638,Y,0,319 S4,4304,LIS,1638,AGP,1230,Y,0,BEH S4,4304,LIS,1638,AMS,580,Y,0,319 S4,4304,LIS,1638,ARN,737,Y,0,320 S4,4304,LIS,1638,BCN,1218,Y,0,ER4 319 100 S4,4304,LIS,1638,BIO,1216,Y,0,ER4 100 S4,4304,LIS,1638,BOS,3448,,0,313 S4,4304,LIS,1638,CPH,609,Y,0,320 S4,4304,LIS,1638,FAO,1626,Y,0,319 320 ER4 S4,4304,LIS,1638,FNC,4091,Y,0,319 320 100 321 S4,4304,LIS,1638,FRA,340,Y,0,319 321 S4,4304,LIS,1638,HOR,1628,,0,320 S4,4304,LIS,1638,LGW,502,Y,0,319 S4,4304,LIS,1638,LHR,507,Y,0,319 321 S4,4304,LIS,1638,LPA,1054,,0,CR9 S4,4304,LIS,1638,MAD,1229,Y,0,319 ER4 100 S4,4304,LIS,1638,OPO,1636,Y,0,100 320 ER4 319 S4,4304,LIS,1638,PDL,1633,,0,320 313 S4,4304,LIS,1638,PIX,1634,Y,0,320 S4,4304,LIS,1638,PXO,1637,Y,0,100 319 S4,4304,LIS,1638,SMA,1617,,0,320 S4,4304,LIS,1638,SVQ,1253,Y,0,BEH S4,4304,LIS,1638,TER,1629,,0,320 S4,4304,LIS,1638,VLC,1246,Y,0,ER4 100 S4,4304,LIS,1638,YYZ,193,,0,313 S4,4304,LIS,1638,ZRH,1678,Y,0,319 321 S4,4304,LPA,1054,FNC,4091,Y,0,DH4 S4,4304,LPA,1054,LIS,1638,,0,CR9 S4,4304,MAD,1229,LIS,1638,Y,0,319 ER4 100 S4,4304,MAD,1229,OPO,1636,Y,0,ER4 S4,4304,MUC,346,OPO,1636,,0,320 S4,4304,OPO,1636,BCN,1218,Y,0,ER4 S4,4304,OPO,1636,FNC,4091,Y,0,319 100 320 S4,4304,OPO,1636,LIS,1638,Y,0,320 ER4 100 319 S4,4304,OPO,1636,MAD,1229,Y,0,ER4 S4,4304,OPO,1636,MUC,346,,0,320 S4,4304,OPO,1636,PDL,1633,,0,320 S4,4304,OPO,1636,TER,1629,,0,320 S4,4304,OPO,1636,YYZ,193,,0,313 S4,4304,ORY,1386,PDL,1633,,0,320 S4,4304,PDL,1633,AMS,580,,0,320 S4,4304,PDL,1633,ARN,737,,0,320 S4,4304,PDL,1633,BOS,3448,,0,313 S4,4304,PDL,1633,FNC,4091,Y,0,DH4 S4,4304,PDL,1633,FRA,340,,0,320 S4,4304,PDL,1633,LGW,502,,0,320 S4,4304,PDL,1633,LIS,1638,,0,313 320 S4,4304,PDL,1633,OPO,1636,,0,320 S4,4304,PDL,1633,ORY,1386,,0,320 S4,4304,PDL,1633,YYZ,193,,0,313 S4,4304,PIX,1634,TER,1629,Y,0,320 S4,4304,PXO,1637,LIS,1638,Y,0,100 319 S4,4304,SMA,1617,PDL,1633,,0,320 S4,4304,SVQ,1253,LIS,1638,Y,0,BEH S4,4304,TER,1629,LIS,1638,,0,320 S4,4304,TER,1629,OPO,1636,,0,320 S4,4304,VLC,1246,LIS,1638,Y,0,ER4 100 S4,4304,YYZ,193,LIS,1638,,0,313 S4,4304,YYZ,193,OPO,1636,,0,313 S4,4304,YYZ,193,PDL,1633,,0,313 S4,4304,ZRH,1678,LIS,1638,Y,0,319 321 S5,4822,BEL,2526,MAB,2584,,0,CNC S5,4822,BSB,2531,GYN,2562,,0,CNC S5,4822,CDJ,2518,CMP,7369,,0,CNC S5,4822,CKS,7532,MAB,2584,,0,CNC S5,4822,GRP,7368,MQH,7375,,0,CNC S5,4822,IMP,2572,BSS,\N,,0,CNC S5,4822,MAB,2584,IMP,2572,,0,CNC S5,4822,MAB,2584,OIA,8239,,0,CNC S5,4822,MAB,2584,RDC,8240,,0,CNC S5,4822,MQH,7375,BSB,2531,,0,CNC S5,4822,OIA,8239,CKS,7532,,0,CNC S5,4822,RDC,8240,CDJ,2518,,0,CNC S5,4822,STZ,7374,SXO,8243,,0,CNC S5,4822,SXO,8243,GRP,7368,,0,CNC S5,4822,SXX,8241,OIA,8239,,0,CNC S6,10776,CAP,1895,PAP,1897,,0,J32 S6,10776,CAP,1895,PLS,1754,,0,J32 S6,10776,JBQ,5811,PAP,1897,,0,J32 S6,10776,PAP,1897,CAP,1895,,0,J32 S6,10776,PAP,1897,JBQ,5811,,0,J32 S6,10776,PLS,1754,CAP,1895,,0,J32 S7,4329,AAQ,4353,DME,4029,,0,320 S7,4329,ABA,2955,DME,4029,,0,320 S7,4329,AER,2965,DME,4029,,0,319 320 738 S7,4329,ALA,2908,OVB,4078,,0,320 S7,4329,ALC,1212,DME,4029,,0,320 S7,4329,AMM,2170,DME,4029,Y,0,320 S7,4329,ASB,2976,DME,4029,,0,319 S7,4329,ASF,2966,DME,4029,,0,319 S7,4329,ATH,3941,DME,4029,,0,320 S7,4329,AUH,2179,DME,4029,Y,0,330 S7,4329,BAX,2956,DME,4029,,0,320 S7,4329,BKK,3885,IKT,2937,,0,320 S7,4329,BKK,3885,OVB,4078,,0,763 S7,4329,BOJ,1191,DME,4029,,0,763 320 S7,4329,BTK,2936,DME,4029,,0,319 S7,4329,BUS,3971,DME,4029,,0,319 S7,4329,CEK,2968,DME,4029,,0,319 S7,4329,CEK,2968,DYU,2979,,0,319 S7,4329,CEK,2968,EVN,3964,,0,319 S7,4329,CEK,2968,LBD,6147,,0,319 S7,4329,CIT,2914,OVB,4078,,0,320 S7,4329,DME,4029,AAQ,4353,,0,320 S7,4329,DME,4029,ABA,2955,,0,320 S7,4329,DME,4029,AER,2965,,0,320 738 319 S7,4329,DME,4029,ALC,1212,,0,320 S7,4329,DME,4029,AMM,2170,Y,0,320 S7,4329,DME,4029,ASB,2976,,0,319 S7,4329,DME,4029,ASF,2966,,0,319 S7,4329,DME,4029,ATH,3941,,0,320 S7,4329,DME,4029,AUH,2179,Y,0,330 S7,4329,DME,4029,BAX,2956,,0,320 S7,4329,DME,4029,BOJ,1191,,0,763 320 S7,4329,DME,4029,BTK,2936,,0,319 S7,4329,DME,4029,BUS,3971,,0,319 S7,4329,DME,4029,CEK,2968,,0,319 S7,4329,DME,4029,DUS,345,Y,0,738 S7,4329,DME,4029,EVN,3964,,0,321 320 S7,4329,DME,4029,FRA,340,,0,319 S7,4329,DME,4029,GOA,1528,,0,320 S7,4329,DME,4029,GOJ,4274,,0,319 S7,4329,DME,4029,GYD,2922,,0,319 S7,4329,DME,4029,HEL,421,,0,319 S7,4329,DME,4029,HER,1452,,0,320 S7,4329,DME,4029,HKG,3077,,0,330 S7,4329,DME,4029,HTA,2935,Y,0,738 S7,4329,DME,4029,IKT,2937,,0,320 S7,4329,DME,4029,KBP,2939,,0,319 735 S7,4329,DME,4029,KEJ,2957,,0,319 S7,4329,DME,4029,KGD,2952,,0,734 S7,4329,DME,4029,KIV,1735,,0,321 S7,4329,DME,4029,KJA,4374,,0,738 S7,4329,DME,4029,KRR,2960,,0,734 319 320 738 S7,4329,DME,4029,KUF,2993,,0,319 S7,4329,DME,4029,KZN,2990,,0,319 S7,4329,DME,4029,LBD,6147,,0,321 S7,4329,DME,4029,LCA,1197,,0,738 734 S7,4329,DME,4029,LED,2948,,0,319 734 738 S7,4329,DME,4029,LIS,1638,Y,0,320 S7,4329,DME,4029,MAD,1229,,0,319 S7,4329,DME,4029,MRV,2962,,0,319 S7,4329,DME,4029,MSQ,2954,,0,735 S7,4329,DME,4029,MUC,346,,0,320 321 763 S7,4329,DME,4029,NJC,2972,,0,319 S7,4329,DME,4029,NOZ,6119,,0,320 S7,4329,DME,4029,NRT,2279,Y,0,787 S7,4329,DME,4029,NSK,4352,Y,0,738 S7,4329,DME,4029,NUX,4364,,0,738 319 S7,4329,DME,4029,NYM,6143,,0,737 S7,4329,DME,4029,ODS,2947,,0,319 S7,4329,DME,4029,OGZ,6124,,0,319 S7,4329,DME,4029,OMS,2958,,0,319 320 S7,4329,DME,4029,OSS,2913,Y,0,738 S7,4329,DME,4029,OVB,4078,,0,738 320 S7,4329,DME,4029,PEE,2973,,0,319 320 S7,4329,DME,4029,PFO,1198,,0,738 734 S7,4329,DME,4029,PUY,1203,Y,0,320 738 S7,4329,DME,4029,PWQ,2917,,0,319 S7,4329,DME,4029,RGK,8740,,0,319 S7,4329,DME,4029,RHO,1472,,0,320 S7,4329,DME,4029,ROV,2964,,0,319 S7,4329,DME,4029,SGC,2974,,0,735 S7,4329,DME,4029,SIP,2942,,0,738 S7,4329,DME,4029,SKG,1486,,0,320 S7,4329,DME,4029,STW,2963,,0,319 S7,4329,DME,4029,SVX,2975,,0,319 S7,4329,DME,4029,TBS,3973,,0,320 S7,4329,DME,4029,TIV,1743,Y,0,738 S7,4329,DME,4029,TJM,4111,,0,319 S7,4329,DME,4029,TJU,7563,,0,321 S7,4329,DME,4029,TOF,4297,,0,738 734 S7,4329,DME,4029,UFA,2992,,0,319 S7,4329,DME,4029,UGC,6152,,0,763 S7,4329,DME,4029,UKK,6086,,0,319 S7,4329,DME,4029,UUD,2938,,0,319 S7,4329,DME,4029,VAR,1196,,0,320 763 S7,4329,DME,4029,VIE,1613,,0,320 E90 S7,4329,DME,4029,VLC,1246,,0,319 S7,4329,DME,4029,VOG,2967,,0,319 738 S7,4329,DME,4029,VRN,1550,,0,320 738 S7,4329,DME,4029,YKS,2923,Y,0,738 S7,4329,DUS,345,DME,4029,Y,0,738 S7,4329,DXB,2188,OVB,4078,,0,320 S7,4329,DYU,2979,CEK,2968,,0,319 S7,4329,DYU,2979,OVB,4078,,0,320 S7,4329,EVN,3964,CEK,2968,,0,319 S7,4329,EVN,3964,DME,4029,,0,321 320 S7,4329,EVN,3964,OVB,4078,,0,320 S7,4329,FEG,6149,OVB,4078,,0,320 S7,4329,FRA,340,DME,4029,,0,319 S7,4329,FRA,340,OVB,4078,,0,738 S7,4329,FRU,2912,OVB,4078,,0,320 S7,4329,GDX,2930,IKT,2937,,0,320 S7,4329,GOA,1528,DME,4029,,0,320 S7,4329,GOJ,4274,DME,4029,,0,319 S7,4329,GYD,2922,DME,4029,,0,319 S7,4329,GYD,2922,LED,2948,Y,0,757 S7,4329,GYD,2922,OVB,4078,,0,320 S7,4329,HEL,421,DME,4029,,0,319 S7,4329,HEL,421,LED,2948,,0,ATR S7,4329,HEL,421,SVX,2975,,0,319 S7,4329,HER,1452,DME,4029,,0,320 S7,4329,HKG,3077,DME,4029,,0,330 S7,4329,HKG,3077,KHV,2927,,0,320 S7,4329,HKG,3077,OVB,4078,Y,0,738 S7,4329,HKG,3077,VVO,2934,,0,320 S7,4329,HTA,2935,DME,4029,Y,0,738 S7,4329,HTA,2935,OVB,4078,,0,320 S7,4329,ICN,3930,VVO,2934,Y,0,320 S7,4329,IKT,2937,BKK,3885,,0,320 S7,4329,IKT,2937,DME,4029,,0,320 S7,4329,IKT,2937,GDX,2930,,0,320 S7,4329,IKT,2937,OVB,4078,,0,320 738 S7,4329,IKT,2937,PEK,3364,,0,320 S7,4329,IKT,2937,VVO,2934,,0,320 S7,4329,IKT,2937,YKS,2923,,0,738 S7,4329,KBP,2939,DME,4029,,0,735 319 S7,4329,KBP,2939,KGD,2952,,0,735 S7,4329,KBP,2939,LED,2948,,0,735 S7,4329,KBP,2939,OVB,4078,,0,735 S7,4329,KBP,2939,ROV,2964,,0,735 S7,4329,KBP,2939,SVX,2975,,0,735 S7,4329,KEJ,2957,DME,4029,,0,319 S7,4329,KGD,2952,DME,4029,,0,734 S7,4329,KGD,2952,KBP,2939,,0,735 S7,4329,KGD,2952,TXL,351,Y,0,DH4 S7,4329,KHV,2927,HKG,3077,,0,320 S7,4329,KHV,2927,NRT,2279,,0,320 S7,4329,KHV,2927,OVB,4078,,0,320 S7,4329,KHV,2927,PEK,3364,,0,320 S7,4329,KHV,2927,PKC,2932,,0,320 S7,4329,KHV,2927,UUS,2933,,0,320 S7,4329,KIV,1735,DME,4029,,0,321 S7,4329,KJA,4374,DME,4029,,0,738 S7,4329,KJA,4374,PEK,3364,,0,320 S7,4329,KRR,2960,DME,4029,,0,734 319 320 738 S7,4329,KUF,2993,DME,4029,,0,319 S7,4329,KZN,2990,DME,4029,,0,319 S7,4329,LBD,6147,CEK,2968,,0,319 S7,4329,LBD,6147,DME,4029,,0,321 S7,4329,LBD,6147,OVB,4078,,0,320 S7,4329,LCA,1197,DME,4029,,0,738 734 S7,4329,LED,2948,DME,4029,,0,319 734 738 S7,4329,LED,2948,GYD,2922,Y,0,757 S7,4329,LED,2948,HEL,421,,0,ATR S7,4329,LED,2948,KBP,2939,,0,735 S7,4329,LED,2948,MSQ,2954,Y,0,CRJ 735 S7,4329,LED,2948,OVB,4078,,0,738 320 S7,4329,LED,2948,PEK,3364,,0,333 S7,4329,LED,2948,SKG,1486,,0,320 S7,4329,LIS,1638,DME,4029,Y,0,320 S7,4329,MAD,1229,DME,4029,,0,319 S7,4329,MRV,2962,DME,4029,,0,319 S7,4329,MSQ,2954,DME,4029,,0,735 S7,4329,MSQ,2954,LED,2948,Y,0,CRJ 735 S7,4329,MUC,346,DME,4029,,0,320 321 763 S7,4329,MUC,346,OVB,4078,Y,0,738 S7,4329,NJC,2972,DME,4029,Y,0,319 S7,4329,NOZ,6119,DME,4029,,0,320 S7,4329,NRT,2279,DME,4029,Y,0,787 S7,4329,NRT,2279,KHV,2927,,0,320 S7,4329,NRT,2279,VVO,2934,,0,320 S7,4329,NSK,4352,DME,4029,Y,0,738 S7,4329,NSK,4352,OVB,4078,,0,738 S7,4329,NUX,4364,DME,4029,,0,738 319 S7,4329,NYM,6143,DME,4029,,0,737 S7,4329,ODS,2947,DME,4029,,0,319 S7,4329,OGZ,6124,DME,4029,,0,319 S7,4329,OMS,2958,DME,4029,,0,320 319 S7,4329,OSS,2913,DME,4029,Y,0,738 S7,4329,OSS,2913,OVB,4078,,0,320 S7,4329,OVB,4078,ALA,2908,,0,320 S7,4329,OVB,4078,BKK,3885,,0,763 S7,4329,OVB,4078,CIT,2914,,0,320 S7,4329,OVB,4078,DME,4029,,0,738 320 S7,4329,OVB,4078,DXB,2188,,0,320 S7,4329,OVB,4078,DYU,2979,,0,320 S7,4329,OVB,4078,EVN,3964,,0,320 S7,4329,OVB,4078,FEG,6149,,0,320 S7,4329,OVB,4078,FRA,340,,0,738 S7,4329,OVB,4078,FRU,2912,,0,320 S7,4329,OVB,4078,GYD,2922,,0,320 S7,4329,OVB,4078,HKG,3077,Y,0,738 S7,4329,OVB,4078,HTA,2935,,0,320 S7,4329,OVB,4078,IKT,2937,,0,320 738 S7,4329,OVB,4078,KHV,2927,,0,320 S7,4329,OVB,4078,LBD,6147,,0,320 S7,4329,OVB,4078,LED,2948,,0,738 320 S7,4329,OVB,4078,MUC,346,Y,0,738 S7,4329,OVB,4078,NSK,4352,,0,738 S7,4329,OVB,4078,OSS,2913,,0,320 S7,4329,OVB,4078,PEK,3364,,0,320 S7,4329,OVB,4078,PRG,1587,,0,320 S7,4329,OVB,4078,TAS,2983,,0,320 S7,4329,OVB,4078,URC,3399,,0,320 S7,4329,OVB,4078,UUD,2938,Y,0,738 S7,4329,OVB,4078,VVO,2934,,0,320 S7,4329,OVB,4078,YKS,2923,Y,0,738 S7,4329,PEE,2973,DME,4029,,0,319 320 S7,4329,PEK,3364,IKT,2937,,0,320 S7,4329,PEK,3364,KHV,2927,,0,320 S7,4329,PEK,3364,KJA,4374,,0,320 S7,4329,PEK,3364,LED,2948,,0,333 S7,4329,PEK,3364,OVB,4078,,0,320 S7,4329,PEK,3364,SVO,2985,,0,333 S7,4329,PEK,3364,SVX,2975,,0,320 S7,4329,PEK,3364,UUD,2938,,0,738 S7,4329,PEK,3364,VVO,2934,,0,320 S7,4329,PEK,3364,YKS,2923,,0,738 S7,4329,PFO,1198,DME,4029,,0,738 734 S7,4329,PKC,2932,KHV,2927,,0,320 S7,4329,PKC,2932,VVO,2934,,0,320 S7,4329,PRG,1587,OVB,4078,,0,320 S7,4329,PUY,1203,DME,4029,Y,0,320 738 S7,4329,PWQ,2917,DME,4029,,0,319 S7,4329,RGK,8740,DME,4029,,0,319 S7,4329,RHO,1472,DME,4029,,0,320 S7,4329,ROV,2964,DME,4029,,0,319 S7,4329,ROV,2964,KBP,2939,,0,735 S7,4329,SGC,2974,DME,4029,,0,735 S7,4329,SIP,2942,DME,4029,,0,738 S7,4329,SKG,1486,DME,4029,,0,320 S7,4329,SKG,1486,LED,2948,,0,320 S7,4329,STW,2963,DME,4029,,0,319 S7,4329,SVO,2985,PEK,3364,,0,333 S7,4329,SVX,2975,DME,4029,,0,319 S7,4329,SVX,2975,HEL,421,,0,319 S7,4329,SVX,2975,KBP,2939,,0,735 S7,4329,SVX,2975,PEK,3364,,0,320 S7,4329,TAS,2983,OVB,4078,,0,320 S7,4329,TBS,3973,DME,4029,,0,320 S7,4329,TIV,1743,DME,4029,Y,0,738 S7,4329,TJM,4111,DME,4029,,0,319 S7,4329,TJU,7563,DME,4029,,0,321 S7,4329,TOF,4297,DME,4029,,0,738 734 S7,4329,TXL,351,KGD,2952,Y,0,DH4 S7,4329,UFA,2992,DME,4029,,0,319 S7,4329,UGC,6152,DME,4029,,0,763 S7,4329,UKK,6086,DME,4029,,0,319 S7,4329,URC,3399,OVB,4078,,0,320 S7,4329,UUD,2938,DME,4029,,0,319 S7,4329,UUD,2938,OVB,4078,,0,738 S7,4329,UUD,2938,PEK,3364,,0,738 S7,4329,UUS,2933,KHV,2927,,0,320 S7,4329,UUS,2933,VVO,2934,,0,320 S7,4329,VAR,1196,DME,4029,,0,320 763 S7,4329,VIE,1613,DME,4029,,0,320 E90 S7,4329,VLC,1246,DME,4029,,0,319 S7,4329,VOG,2967,DME,4029,,0,319 738 S7,4329,VRN,1550,DME,4029,Y,0,320 738 S7,4329,VVO,2934,HKG,3077,,0,320 S7,4329,VVO,2934,ICN,3930,Y,0,320 S7,4329,VVO,2934,IKT,2937,,0,320 S7,4329,VVO,2934,NRT,2279,,0,320 S7,4329,VVO,2934,OVB,4078,,0,320 S7,4329,VVO,2934,PEK,3364,,0,320 S7,4329,VVO,2934,PKC,2932,,0,320 S7,4329,VVO,2934,UUS,2933,,0,320 S7,4329,YKS,2923,DME,4029,Y,0,738 S7,4329,YKS,2923,IKT,2937,,0,738 S7,4329,YKS,2923,OVB,4078,Y,0,738 S7,4329,YKS,2923,PEK,3364,,0,738 S9,17099,ABJ,253,ACC,248,,0,143 S9,17099,ACC,248,ABJ,253,,0,143 S9,17099,ACC,248,KMS,5556,,0,143 S9,17099,ACC,248,TKD,252,,0,143 S9,17099,ACC,248,TML,249,,0,143 S9,17099,KMS,5556,ACC,248,,0,143 S9,17099,TKD,252,ACC,248,,0,143 S9,17099,TML,249,ACC,248,,0,143 SA,4305,ABJ,253,ACC,248,,0,332 SA,4305,ACC,248,ABJ,253,,0,332 SA,4305,ACC,248,JNB,813,,0,332 SA,4305,ADD,1107,BKO,1044,Y,0,763 SA,4305,ADD,1107,JNB,813,Y,0,77L SA,4305,APL,984,JNB,813,Y,0,ER3 SA,4305,AUH,2179,JNB,813,,0,332 SA,4305,BBK,879,JNB,813,Y,0,ER3 SA,4305,BEW,974,JNB,813,Y,0,ER3 SA,4305,BFN,794,CPT,797,,0,733 738 SA,4305,BFN,794,DUR,799,Y,0,ER3 J41 SA,4305,BFN,794,JNB,813,Y,0,DH4 AR8 ER3 CR7 SA,4305,BKK,3885,JNB,813,Y,0,777 SA,4305,BKO,1044,ADD,1107,Y,0,757 SA,4305,BKO,1044,DKR,1084,Y,0,757 SA,4305,BLZ,1013,JNB,813,,0,738 SA,4305,BOM,2997,JNB,813,,0,332 SA,4305,BUQ,1001,JNB,813,Y,0,AR8 SA,4305,BZV,883,JNB,813,,0,320 319 SA,4305,CAI,1128,JNB,813,Y,0,330 SA,4305,COO,245,PNR,886,,0,320 SA,4305,CPT,797,BFN,794,,0,733 738 SA,4305,CPT,797,DUR,799,,0,738 SA,4305,CPT,797,DXB,2188,Y,0,77W SA,4305,CPT,797,ELS,800,Y,0,DH4 CR2 SA,4305,CPT,797,GRJ,804,Y,0,CR2 ER3 AR8 SA,4305,CPT,797,HDS,811,Y,0,CR2 SA,4305,CPT,797,HLA,820,,0,738 SA,4305,CPT,797,JNB,813,,0,738 320 343 319 733 346 332 342 SA,4305,CPT,797,KIM,815,Y,0,CR2 ER3 SA,4305,CPT,797,MPM,979,Y,0,CR2 SA,4305,CPT,797,MQP,5604,Y,0,AR8 SA,4305,CPT,797,PLZ,838,,0,733 SA,4305,CPT,797,UTN,865,Y,0,ER3 SA,4305,CPT,797,WDH,4105,Y,0,CR2 SA,4305,CPT,797,WVB,6778,Y,0,CR2 SA,4305,DAR,1177,JNB,813,,0,319 320 SA,4305,DKR,1084,BKO,1044,Y,0,763 SA,4305,DKR,1084,IAD,3714,,0,343 SA,4305,DKR,1084,JNB,813,,0,343 SA,4305,DLA,897,LBV,970,,0,320 319 SA,4305,DUR,799,BFN,794,Y,0,ER3 J41 SA,4305,DUR,799,CPT,797,,0,738 SA,4305,DUR,799,DXB,2188,Y,0,77W SA,4305,DUR,799,ELS,800,Y,0,CR2 SA,4305,DUR,799,GRJ,804,Y,0,ER3 SA,4305,DUR,799,HRE,1005,Y,0,CR2 SA,4305,DUR,799,JNB,813,,0,738 319 320 733 SA,4305,DUR,799,LUN,907,Y,0,CR2 SA,4305,DUR,799,MPM,979,Y,0,J41 SA,4305,DUR,799,MQP,5604,Y,0,ER3 J41 SA,4305,DUR,799,PLZ,838,Y,0,CR2 SA,4305,DXB,2188,CPT,797,Y,0,77W SA,4305,DXB,2188,DUR,799,Y,0,77W SA,4305,DXB,2188,JNB,813,Y,0,77W SA,4305,EBB,1187,JNB,813,,0,319 SA,4305,ELS,800,CPT,797,Y,0,DH4 CR2 SA,4305,ELS,800,DUR,799,Y,0,CR2 SA,4305,ELS,800,JNB,813,,0,320 319 SA,4305,ELS,800,PLZ,838,Y,0,J41 SA,4305,FBM,1038,JNB,813,Y,0,CR7 SA,4305,FIH,1020,JNB,813,,0,738 319 320 SA,4305,FRA,340,JNB,813,,0,346 SA,4305,GBE,881,JNB,813,Y,0,DH4 AR8 CR2 ER3 CR7 SA,4305,GRJ,804,CPT,797,Y,0,CR2 ER3 AR8 SA,4305,GRJ,804,DUR,799,Y,0,ER3 SA,4305,GRJ,804,JNB,813,,0,738 733 SA,4305,GRU,2564,JNB,813,,0,346 332 343 SA,4305,HDS,811,CPT,797,Y,0,CR2 SA,4305,HDS,811,JNB,813,Y,0,DH4 SA,4305,HKG,3077,JNB,813,,0,343 346 SA,4305,HLA,820,CPT,797,,0,738 SA,4305,HRE,1005,DUR,799,Y,0,CR2 SA,4305,HRE,1005,JNB,813,,0,738 319 320 SA,4305,IAD,3714,DKR,1084,,0,343 SA,4305,JFK,3797,JNB,813,,0,346 SA,4305,JNB,813,ACC,248,,0,332 SA,4305,JNB,813,ADD,1107,Y,0,77L SA,4305,JNB,813,APL,984,Y,0,ER3 SA,4305,JNB,813,AUH,2179,,0,332 SA,4305,JNB,813,BBK,879,Y,0,ER3 SA,4305,JNB,813,BEW,974,Y,0,ER3 SA,4305,JNB,813,BFN,794,Y,0,DH4 AR8 ER3 CR7 SA,4305,JNB,813,BKK,3885,Y,0,777 SA,4305,JNB,813,BLZ,1013,,0,738 SA,4305,JNB,813,BOM,2997,,0,332 SA,4305,JNB,813,BUQ,1001,Y,0,AR8 SA,4305,JNB,813,BZV,883,,0,320 319 SA,4305,JNB,813,CAI,1128,Y,0,330 SA,4305,JNB,813,CPT,797,,0,738 343 320 319 733 346 332 342 SA,4305,JNB,813,DAR,1177,,0,320 319 SA,4305,JNB,813,DKR,1084,,0,343 SA,4305,JNB,813,DUR,799,,0,320 738 319 733 SA,4305,JNB,813,DXB,2188,Y,0,77W SA,4305,JNB,813,EBB,1187,,0,319 SA,4305,JNB,813,ELS,800,,0,319 320 SA,4305,JNB,813,FBM,1038,Y,0,CR7 SA,4305,JNB,813,FIH,1020,,0,738 319 SA,4305,JNB,813,FRA,340,,0,346 SA,4305,JNB,813,GBE,881,Y,0,DH4 AR8 CR2 ER3 CR7 SA,4305,JNB,813,GRJ,804,,0,738 733 SA,4305,JNB,813,GRU,2564,,0,332 343 346 SA,4305,JNB,813,HDS,811,Y,0,DH4 SA,4305,JNB,813,HKG,3077,,0,346 343 SA,4305,JNB,813,HRE,1005,,0,738 319 320 SA,4305,JNB,813,JFK,3797,,0,346 SA,4305,JNB,813,KGL,1165,,0,73W SA,4305,JNB,813,KIM,815,Y,0,DH4 AR8 ER3 CR7 SA,4305,JNB,813,LAD,951,,0,343 346 332 SA,4305,JNB,813,LBV,970,,0,320 319 SA,4305,JNB,813,LHR,507,,0,332 343 SA,4305,JNB,813,LLW,1016,,0,738 332 343 SA,4305,JNB,813,LOS,273,,0,343 346 SA,4305,JNB,813,LUN,907,,0,738 319 320 SA,4305,JNB,813,LVI,906,,0,319 320 SA,4305,JNB,813,MPM,979,,0,319 ER4 DH4 SA,4305,JNB,813,MQP,5604,Y,0,CR2 ER3 AR8 CR7 DH4 SA,4305,JNB,813,MRU,893,,0,332 342 320 738 SA,4305,JNB,813,MSU,1018,Y,0,ER3 SA,4305,JNB,813,MTS,887,Y,0,ER3 SA,4305,JNB,813,MUB,880,Y,0,AR8 SA,4305,JNB,813,MUC,346,,0,346 343 332 SA,4305,JNB,813,NBO,4059,,0,320 319 SA,4305,JNB,813,NLA,910,,0,319 SA,4305,JNB,813,PER,3351,,0,343 346 SA,4305,JNB,813,PHW,840,Y,0,J41 SA,4305,JNB,813,PLZ,838,,0,319 733 320 738 SA,4305,JNB,813,PNR,886,,0,320 319 SA,4305,JNB,813,POL,985,Y,0,ER3 SA,4305,JNB,813,PTG,845,Y,0,ER3 J41 SA,4305,JNB,813,PZB,843,Y,0,AR8 DH4 ER3 J41 SA,4305,JNB,813,RCB,849,Y,0,DH4 J41 SA,4305,JNB,813,SEZ,994,,0,332 SA,4305,JNB,813,SIN,3316,Y,0,772 SA,4305,JNB,813,SYD,3361,Y,0,744 SA,4305,JNB,813,TET,988,Y,0,AR8 SA,4305,JNB,813,TNR,918,Y,0,AR8 SA,4305,JNB,813,UTN,865,Y,0,ER3 AR8 SA,4305,JNB,813,UTT,866,Y,0,ER3 SA,4305,JNB,813,VFA,1004,,0,319 SA,4305,JNB,813,VNX,990,Y,0,ER3 J41 SA,4305,JNB,813,WDH,4105,,0,320 342 319 738 332 SA,4305,JNB,813,WVB,6778,Y,0,CR7 SA,4305,JNB,813,ZRH,1678,Y,0,343 333 SA,4305,KGL,1165,JNB,813,,0,73W SA,4305,KIM,815,CPT,797,Y,0,CR2 ER3 SA,4305,KIM,815,JNB,813,Y,0,DH4 AR8 ER3 CR7 SA,4305,KWI,2176,ADD,1107,Y,0,738 SA,4305,LAD,951,JNB,813,,0,343 346 332 SA,4305,LBV,970,DLA,897,,0,320 319 SA,4305,LBV,970,JNB,813,,0,320 319 SA,4305,LHR,507,JNB,813,,0,332 343 SA,4305,LLW,1016,JNB,813,,0,738 332 343 SA,4305,LOS,273,JNB,813,,0,343 346 SA,4305,LUN,907,DUR,799,Y,0,CR2 SA,4305,LUN,907,JNB,813,,0,320 738 319 SA,4305,LVI,906,JNB,813,,0,319 320 SA,4305,LVI,906,MQP,5604,Y,0,ER3 SA,4305,MAN,478,MUC,346,Y,0,319 SA,4305,MPM,979,CPT,797,Y,0,CR2 SA,4305,MPM,979,DUR,799,Y,0,J41 SA,4305,MPM,979,JNB,813,,0,319 ER4 DH4 SA,4305,MQP,5604,CPT,797,Y,0,AR8 SA,4305,MQP,5604,DUR,799,Y,0,ER3 J41 SA,4305,MQP,5604,JNB,813,Y,0,CR2 ER3 AR8 CR7 DH4 SA,4305,MQP,5604,LVI,906,Y,0,ER3 SA,4305,MRU,893,JNB,813,,0,332 342 320 738 SA,4305,MSU,1018,JNB,813,Y,0,ER3 SA,4305,MTS,887,JNB,813,Y,0,ER3 SA,4305,MUB,880,JNB,813,Y,0,AR8 SA,4305,MUC,346,JNB,813,,0,346 343 332 SA,4305,MUC,346,MAN,478,Y,0,319 SA,4305,NBO,4059,JNB,813,,0,319 320 SA,4305,NLA,910,JNB,813,,0,319 SA,4305,PEK,3364,JNB,813,,0,343 SA,4305,PER,3351,JNB,813,,0,346 343 SA,4305,PHW,840,JNB,813,Y,0,J41 SA,4305,PLZ,838,CPT,797,,0,733 SA,4305,PLZ,838,DUR,799,Y,0,CR2 SA,4305,PLZ,838,ELS,800,Y,0,J41 SA,4305,PLZ,838,JNB,813,,0,319 320 733 738 SA,4305,PNR,886,COO,245,,0,320 319 SA,4305,PNR,886,JNB,813,,0,320 SA,4305,POL,985,JNB,813,Y,0,ER3 SA,4305,PTG,845,JNB,813,Y,0,ER3 J41 SA,4305,PZB,843,JNB,813,Y,0,AR8 DH4 ER3 J41 SA,4305,RCB,849,JNB,813,Y,0,DH4 J41 SA,4305,SEZ,994,JNB,813,,0,332 SA,4305,SIN,3316,JNB,813,Y,0,772 SA,4305,SYD,3361,JNB,813,Y,0,744 SA,4305,TET,988,JNB,813,Y,0,AR8 SA,4305,TNR,918,JNB,813,Y,0,AR8 SA,4305,UTN,865,CPT,797,Y,0,ER3 SA,4305,UTN,865,JNB,813,Y,0,ER3 AR8 SA,4305,UTT,866,JNB,813,Y,0,ER3 SA,4305,VFA,1004,JNB,813,,0,319 SA,4305,VNX,990,JNB,813,Y,0,ER3 J41 SA,4305,WDH,4105,CPT,797,Y,0,CR2 SA,4305,WDH,4105,JNB,813,,0,319 320 342 738 332 SA,4305,WVB,6778,CPT,797,Y,0,CR2 SA,4305,WVB,6778,JNB,813,Y,0,CR7 SA,4305,ZRH,1678,JNB,813,Y,0,343 333 SB,139,AKL,2006,NOU,2005,,0,320 SB,139,BNE,3320,NOU,2005,,0,320 SB,139,FUT,5885,WLS,1968,,0,DHT SB,139,KIX,3992,NOU,2005,,0,332 SB,139,NAN,1960,NOU,2005,,0,320 SB,139,NAN,1960,WLS,1968,,0,320 SB,139,NOU,2005,AKL,2006,,0,332 320 SB,139,NOU,2005,BNE,3320,,0,320 SB,139,NOU,2005,KIX,3992,,0,332 SB,139,NOU,2005,NAN,1960,,0,320 SB,139,NOU,2005,NRT,2279,,0,332 SB,139,NOU,2005,PPT,4075,,0,332 SB,139,NOU,2005,SYD,3361,,0,320 332 SB,139,NOU,2005,VLI,1997,,0,320 SB,139,NOU,2005,WLS,1968,,0,320 SB,139,NRT,2279,NOU,2005,,0,332 SB,139,PPT,4075,NOU,2005,,0,332 SB,139,SYD,3361,NOU,2005,,0,320 332 SB,139,VLI,1997,NOU,2005,,0,320 SB,139,WLS,1968,FUT,5885,,0,DHT SB,139,WLS,1968,NAN,1960,,0,320 SB,139,WLS,1968,NOU,2005,,0,320 SC,4599,BAV,6346,TSN,3368,,0,CR7 SC,4599,BAV,6346,TYN,3369,,0,CR7 SC,4599,BKK,3885,TAO,3390,,0,738 SC,4599,BKK,3885,TNA,4108,,0,738 SC,4599,CAN,3370,TAO,3390,,0,738 SC,4599,CAN,3370,TNA,4108,,0,738 SC,4599,CAN,3370,WUS,6391,,0,738 SC,4599,CAN,3370,YNT,3392,,0,738 SC,4599,CGO,3375,CKG,3393,,0,738 SC,4599,CGO,3375,KWE,3394,,0,738 SC,4599,CGO,3375,KWL,3372,,0,738 SC,4599,CGO,3375,LHW,3378,,0,738 SC,4599,CGO,3375,MIG,6400,,0,CR2 SC,4599,CGO,3375,TAO,3390,,0,738 SC,4599,CGO,3375,TNA,4108,,0,CR2 738 SC,4599,CGO,3375,TSN,3368,,0,738 SC,4599,CGO,3375,XMN,3383,,0,738 SC,4599,CGQ,4380,TAO,3390,,0,738 SC,4599,CGQ,4380,TNA,4108,,0,738 SC,4599,CGQ,4380,YNT,3392,,0,CR2 SC,4599,CKG,3393,CGO,3375,,0,738 SC,4599,CKG,3393,CNX,3931,,0,738 SC,4599,CKG,3393,KMG,3382,,0,738 SC,4599,CKG,3393,KWE,3394,,0,738 SC,4599,CKG,3393,KWL,3372,,0,738 SC,4599,CKG,3393,PEK,3364,,0,738 SC,4599,CKG,3393,SJW,6347,,0,738 SC,4599,CKG,3393,TAO,3390,,0,738 SC,4599,CKG,3393,TNA,4108,,0,738 SC,4599,CKG,3393,WUH,3376,,0,738 SC,4599,CKG,3393,WUS,6391,,0,738 SC,4599,CNX,3931,CKG,3393,,0,738 SC,4599,CSX,3371,HFE,3389,,0,738 SC,4599,CSX,3371,TNA,4108,,0,733 738 SC,4599,CSX,3371,XMN,3383,,0,738 SC,4599,CTU,3395,JDZ,6380,,0,738 SC,4599,CTU,3395,KWL,3372,,0,738 SC,4599,CTU,3395,TAO,3390,,0,738 SC,4599,CTU,3395,TNA,4108,,0,738 SC,4599,DLC,3404,HFE,3389,,0,738 SC,4599,DLC,3404,TAO,3390,,0,738 CR2 SC,4599,DLC,3404,TNA,4108,,0,CR2 SC,4599,DSN,6434,TYN,3369,,0,CR2 SC,4599,FOC,3385,HAK,4120,,0,CR2 SC,4599,FOC,3385,HFE,3389,,0,738 SC,4599,FOC,3385,KWL,3372,,0,738 SC,4599,FOC,3385,NKG,3388,,0,738 SC,4599,FOC,3385,TNA,4108,,0,CR2 SC,4599,HAK,4120,FOC,3385,,0,CR2 SC,4599,HET,6345,TNA,4108,,0,738 SC,4599,HET,6345,TSN,3368,,0,738 SC,4599,HFE,3389,CSX,3371,,0,738 SC,4599,HFE,3389,DLC,3404,,0,738 SC,4599,HFE,3389,FOC,3385,,0,738 SC,4599,HFE,3389,KWE,3394,,0,738 SC,4599,HFE,3389,TAO,3390,,0,738 SC,4599,HFE,3389,XMN,3383,,0,738 SC,4599,HFE,3389,YNT,3392,,0,738 SC,4599,HGH,3386,KWL,3372,,0,738 SC,4599,HGH,3386,TAO,3390,,0,738 SC,4599,HGH,3386,TNA,4108,,0,738 SC,4599,HGH,3386,XMN,3383,,0,738 SC,4599,HGH,3386,YNT,3392,,0,738 SC,4599,HRB,3400,TAO,3390,,0,738 SC,4599,HRB,3400,TNA,4108,,0,738 SC,4599,HRB,3400,YNT,3392,,0,738 SC,4599,HUN,2278,TNA,4108,,0,738 SC,4599,ICN,3930,TAO,3390,,0,738 321 SC,4599,ICN,3930,TNA,4108,,0,738 SC,4599,ICN,3930,YNT,3392,,0,738 SC,4599,INC,4085,PEK,3364,,0,738 SC,4599,INC,4085,SJW,6347,,0,738 SC,4599,INC,4085,TNA,4108,,0,CR2 738 SC,4599,INC,4085,URC,3399,,0,738 SC,4599,INC,4085,WUH,3376,,0,738 SC,4599,INC,4085,XNN,6366,,0,CR2 SC,4599,JDZ,6380,CTU,3395,,0,738 SC,4599,JDZ,6380,XMN,3383,,0,738 SC,4599,JIU,6381,PEK,3364,,0,737 SC,4599,JIU,6381,XMN,3383,,0,737 SC,4599,JNZ,6412,TAO,3390,,0,CR7 SC,4599,JUZ,6382,XMN,3383,,0,738 SC,4599,KHG,3397,URC,3399,,0,738 SC,4599,KHN,3384,KWE,3394,,0,733 SC,4599,KHN,3384,TAO,3390,,0,737 SC,4599,KHN,3384,TNA,4108,,0,733 SC,4599,KHN,3384,ZUH,6355,,0,737 SC,4599,KIX,3992,TAO,3390,Y,0,763 SC,4599,KIX,3992,TNA,4108,,0,738 SC,4599,KMG,3382,CKG,3393,,0,738 SC,4599,KMG,3382,KWE,3394,,0,738 SC,4599,KMG,3382,NKG,3388,,0,738 SC,4599,KMG,3382,TNA,4108,,0,738 SC,4599,KMG,3382,WUH,3376,,0,738 SC,4599,KMG,3382,XMN,3383,,0,738 SC,4599,KWE,3394,CGO,3375,,0,738 SC,4599,KWE,3394,CKG,3393,,0,738 SC,4599,KWE,3394,HFE,3389,,0,738 SC,4599,KWE,3394,KHN,3384,,0,733 SC,4599,KWE,3394,KMG,3382,,0,738 SC,4599,KWE,3394,TNA,4108,,0,738 SC,4599,KWE,3394,WUH,3376,,0,738 SC,4599,KWE,3394,XIY,3379,,0,738 SC,4599,KWE,3394,XMN,3383,,0,737 738 SC,4599,KWE,3394,ZUH,6355,,0,738 SC,4599,KWL,3372,CGO,3375,,0,738 SC,4599,KWL,3372,CKG,3393,,0,738 SC,4599,KWL,3372,CTU,3395,,0,738 SC,4599,KWL,3372,FOC,3385,,0,738 SC,4599,KWL,3372,HGH,3386,,0,738 SC,4599,KWL,3372,NGB,3387,,0,738 SC,4599,KWL,3372,NKG,3388,,0,738 SC,4599,KWL,3372,XMN,3383,,0,738 SC,4599,LHW,3378,CGO,3375,,0,738 SC,4599,LHW,3378,TNA,4108,,0,738 SC,4599,LHW,3378,TYN,3369,,0,738 SC,4599,LHW,3378,URC,3399,,0,738 SC,4599,LHW,3378,XIY,3379,,0,738 SC,4599,LHW,3378,YCU,6430,,0,738 SC,4599,MIG,6400,CGO,3375,,0,CR2 SC,4599,NGB,3387,KWL,3372,,0,738 SC,4599,NGB,3387,TAO,3390,,0,738 SC,4599,NKG,3388,FOC,3385,,0,738 SC,4599,NKG,3388,KMG,3382,,0,738 SC,4599,NKG,3388,KWL,3372,,0,738 SC,4599,NKG,3388,TAO,3390,,0,738 SC,4599,NKG,3388,TYN,3369,,0,738 SC,4599,NKG,3388,XMN,3383,,0,738 SC,4599,NKG,3388,YNT,3392,,0,738 SC,4599,NNG,3373,WUH,3376,,0,738 SC,4599,NNG,3373,XMN,3383,,0,738 SC,4599,NNG,3373,ZUH,6355,,0,738 SC,4599,NRT,2279,TAO,3390,Y,0,763 SC,4599,PEK,3364,CKG,3393,,0,738 SC,4599,PEK,3364,INC,4085,,0,738 SC,4599,PEK,3364,JIU,6381,,0,737 SC,4599,PEK,3364,TAO,3390,,0,738 737 SC,4599,PEK,3364,TNA,4108,,0,738 SC,4599,PEK,3364,YNT,3392,,0,738 SC,4599,PVG,3406,TAO,3390,,0,738 SC,4599,PVG,3406,YNT,3392,,0,738 SC,4599,RMQ,2268,TAO,3390,,0,738 SC,4599,RMQ,2268,TNA,4108,,0,738 SC,4599,SHA,3391,TAO,3390,,0,738 SC,4599,SHA,3391,TNA,4108,,0,738 SC,4599,SHA,3391,YNT,3392,,0,738 SC,4599,SHE,4144,TAO,3390,,0,738 SC,4599,SHE,4144,TNA,4108,,0,738 SC,4599,SJW,6347,CKG,3393,,0,738 SC,4599,SJW,6347,INC,4085,,0,738 SC,4599,SJW,6347,TAO,3390,,0,738 SC,4599,SJW,6347,YNT,3392,,0,738 SC,4599,SYX,4030,XMN,3383,,0,CR2 SC,4599,SZX,3374,TAO,3390,,0,738 SC,4599,SZX,3374,TNA,4108,,0,738 SC,4599,SZX,3374,WNZ,6392,,0,738 SC,4599,SZX,3374,YNT,3392,,0,738 SC,4599,TAO,3390,BKK,3885,,0,738 SC,4599,TAO,3390,CAN,3370,,0,738 SC,4599,TAO,3390,CGO,3375,,0,738 SC,4599,TAO,3390,CGQ,4380,,0,738 SC,4599,TAO,3390,CKG,3393,,0,738 SC,4599,TAO,3390,CTU,3395,,0,738 SC,4599,TAO,3390,DLC,3404,,0,738 CR2 SC,4599,TAO,3390,HFE,3389,,0,738 SC,4599,TAO,3390,HGH,3386,,0,738 SC,4599,TAO,3390,HRB,3400,,0,738 SC,4599,TAO,3390,ICN,3930,,0,738 321 SC,4599,TAO,3390,JNZ,6412,,0,CR7 SC,4599,TAO,3390,KHN,3384,,0,737 SC,4599,TAO,3390,KIX,3992,Y,0,763 SC,4599,TAO,3390,NGB,3387,,0,738 SC,4599,TAO,3390,NKG,3388,,0,738 SC,4599,TAO,3390,NRT,2279,Y,0,763 SC,4599,TAO,3390,PEK,3364,,0,738 737 SC,4599,TAO,3390,PVG,3406,,0,738 SC,4599,TAO,3390,RMQ,2268,,0,738 SC,4599,TAO,3390,SHA,3391,,0,738 SC,4599,TAO,3390,SHE,4144,,0,738 SC,4599,TAO,3390,SJW,6347,,0,738 SC,4599,TAO,3390,SZX,3374,,0,738 SC,4599,TAO,3390,TPE,2276,,0,738 SC,4599,TAO,3390,TSN,3368,,0,738 CR7 SC,4599,TAO,3390,TYN,3369,,0,738 SC,4599,TAO,3390,WNZ,6392,,0,738 SC,4599,TAO,3390,WUH,3376,,0,738 SC,4599,TAO,3390,WUS,6391,,0,738 SC,4599,TAO,3390,XIY,3379,,0,737 738 SC,4599,TAO,3390,XMN,3383,,0,738 SC,4599,TAO,3390,YCU,6430,,0,738 SC,4599,TAO,3390,YNJ,6414,,0,737 SC,4599,TNA,4108,BKK,3885,,0,738 SC,4599,TNA,4108,CAN,3370,,0,738 SC,4599,TNA,4108,CGO,3375,,0,CR2 738 SC,4599,TNA,4108,CGQ,4380,,0,738 SC,4599,TNA,4108,CKG,3393,,0,738 SC,4599,TNA,4108,CSX,3371,,0,733 738 SC,4599,TNA,4108,CTU,3395,,0,738 SC,4599,TNA,4108,DLC,3404,,0,CR2 SC,4599,TNA,4108,FOC,3385,,0,CR2 SC,4599,TNA,4108,HET,6345,,0,738 SC,4599,TNA,4108,HGH,3386,,0,738 SC,4599,TNA,4108,HRB,3400,,0,738 SC,4599,TNA,4108,HUN,2278,,0,738 SC,4599,TNA,4108,ICN,3930,,0,738 SC,4599,TNA,4108,INC,4085,,0,CR2 738 SC,4599,TNA,4108,KHN,3384,,0,733 SC,4599,TNA,4108,KIX,3992,,0,738 SC,4599,TNA,4108,KMG,3382,,0,738 SC,4599,TNA,4108,KWE,3394,,0,738 SC,4599,TNA,4108,LHW,3378,,0,738 SC,4599,TNA,4108,PEK,3364,,0,738 SC,4599,TNA,4108,RMQ,2268,,0,738 SC,4599,TNA,4108,SHA,3391,,0,738 SC,4599,TNA,4108,SHE,4144,,0,738 SC,4599,TNA,4108,SZX,3374,,0,738 SC,4599,TNA,4108,TPE,2276,,0,738 SC,4599,TNA,4108,TYN,3369,,0,CR7 CR2 SC,4599,TNA,4108,URC,3399,,0,738 SC,4599,TNA,4108,WNZ,6392,,0,738 SC,4599,TNA,4108,WUH,3376,,0,738 SC,4599,TNA,4108,WUS,6391,,0,738 SC,4599,TNA,4108,XIY,3379,,0,738 SC,4599,TNA,4108,XMN,3383,,0,CR2 738 SC,4599,TNA,4108,YNT,3392,,0,CR2 738 SC,4599,TPE,2276,TAO,3390,,0,738 SC,4599,TPE,2276,TNA,4108,,0,738 SC,4599,TPE,2276,YNT,3392,,0,738 SC,4599,TSN,3368,BAV,6346,,0,CR7 SC,4599,TSN,3368,CGO,3375,,0,738 SC,4599,TSN,3368,HET,6345,,0,738 SC,4599,TSN,3368,TAO,3390,,0,738 CR7 SC,4599,TYN,3369,BAV,6346,,0,CR7 SC,4599,TYN,3369,DSN,6434,,0,CR2 SC,4599,TYN,3369,LHW,3378,,0,738 SC,4599,TYN,3369,NKG,3388,,0,738 SC,4599,TYN,3369,TAO,3390,,0,738 SC,4599,TYN,3369,TNA,4108,,0,CR7 CR2 SC,4599,TYN,3369,URC,3399,,0,738 SC,4599,URC,3399,INC,4085,,0,738 SC,4599,URC,3399,KHG,3397,,0,738 SC,4599,URC,3399,LHW,3378,,0,738 SC,4599,URC,3399,TNA,4108,,0,738 SC,4599,URC,3399,TYN,3369,,0,738 SC,4599,WNZ,6392,SZX,3374,,0,738 SC,4599,WNZ,6392,TAO,3390,,0,738 SC,4599,WNZ,6392,TNA,4108,,0,738 SC,4599,WNZ,6392,ZUH,6355,,0,738 SC,4599,WUH,3376,CKG,3393,,0,738 SC,4599,WUH,3376,INC,4085,,0,738 SC,4599,WUH,3376,KMG,3382,,0,738 SC,4599,WUH,3376,KWE,3394,,0,738 SC,4599,WUH,3376,NNG,3373,,0,738 SC,4599,WUH,3376,TAO,3390,,0,738 SC,4599,WUH,3376,TNA,4108,,0,738 SC,4599,WUH,3376,XMN,3383,,0,738 SC,4599,WUH,3376,YNT,3392,,0,738 SC,4599,WUS,6391,CAN,3370,,0,738 SC,4599,WUS,6391,CKG,3393,,0,738 SC,4599,WUS,6391,TAO,3390,,0,738 SC,4599,WUS,6391,TNA,4108,,0,738 SC,4599,WUS,6391,XIY,3379,,0,738 SC,4599,WUS,6391,XMN,3383,,0,738 SC,4599,XIY,3379,KWE,3394,,0,738 SC,4599,XIY,3379,LHW,3378,,0,738 SC,4599,XIY,3379,TAO,3390,,0,737 738 SC,4599,XIY,3379,TNA,4108,,0,738 SC,4599,XIY,3379,WUS,6391,,0,738 SC,4599,XIY,3379,XMN,3383,,0,738 SC,4599,XIY,3379,XNN,6366,,0,737 SC,4599,XMN,3383,CGO,3375,,0,738 SC,4599,XMN,3383,CSX,3371,,0,738 SC,4599,XMN,3383,HFE,3389,,0,738 SC,4599,XMN,3383,HGH,3386,,0,738 SC,4599,XMN,3383,JDZ,6380,,0,738 SC,4599,XMN,3383,JIU,6381,,0,737 SC,4599,XMN,3383,JUZ,6382,,0,738 SC,4599,XMN,3383,KMG,3382,,0,738 SC,4599,XMN,3383,KWE,3394,,0,737 738 SC,4599,XMN,3383,KWL,3372,,0,738 SC,4599,XMN,3383,NKG,3388,,0,738 SC,4599,XMN,3383,NNG,3373,,0,738 SC,4599,XMN,3383,SYX,4030,,0,CR2 SC,4599,XMN,3383,TAO,3390,,0,738 SC,4599,XMN,3383,TNA,4108,,0,738 CR2 SC,4599,XMN,3383,WUH,3376,,0,738 SC,4599,XMN,3383,WUS,6391,,0,738 SC,4599,XMN,3383,XIY,3379,,0,738 SC,4599,XMN,3383,ZUH,6355,,0,738 SC,4599,XNN,6366,INC,4085,,0,CR2 SC,4599,XNN,6366,XIY,3379,,0,737 SC,4599,YCU,6430,LHW,3378,,0,738 SC,4599,YCU,6430,TAO,3390,,0,738 SC,4599,YNJ,6414,TAO,3390,,0,737 SC,4599,YNT,3392,CAN,3370,,0,738 SC,4599,YNT,3392,CGQ,4380,,0,CR2 SC,4599,YNT,3392,HFE,3389,,0,738 SC,4599,YNT,3392,HGH,3386,,0,738 SC,4599,YNT,3392,HRB,3400,,0,738 SC,4599,YNT,3392,ICN,3930,,0,738 SC,4599,YNT,3392,NKG,3388,,0,738 SC,4599,YNT,3392,PEK,3364,,0,738 SC,4599,YNT,3392,PVG,3406,,0,738 SC,4599,YNT,3392,SHA,3391,,0,738 SC,4599,YNT,3392,SJW,6347,,0,738 SC,4599,YNT,3392,SZX,3374,,0,738 SC,4599,YNT,3392,TNA,4108,,0,738 CR2 SC,4599,YNT,3392,TPE,2276,,0,738 SC,4599,YNT,3392,WUH,3376,,0,738 SC,4599,ZUH,6355,KHN,3384,,0,737 SC,4599,ZUH,6355,KWE,3394,,0,738 SC,4599,ZUH,6355,NNG,3373,,0,738 SC,4599,ZUH,6355,WNZ,6392,,0,738 SC,4599,ZUH,6355,XMN,3383,,0,738 SD,4521,ADD,1107,KRT,1175,,0,320 SD,4521,AUH,2179,KRT,1175,,0,AB6 SD,4521,CAI,1128,KRT,1175,,0,320 AB6 SD,4521,CAI,1128,PZU,5702,,0,320 SD,4521,DOH,11051,KRT,1175,,0,320 SD,4521,DXB,2188,KRT,1175,,0,AB6 SD,4521,EGN,6768,KRT,1175,,0,YK2 SD,4521,ELF,1169,KRT,1175,,0,YK2 SD,4521,JED,2072,KRT,1175,,0,AB6 320 SD,4521,JED,2072,PZU,5702,,0,320 SD,4521,JUB,1173,KRT,1175,,0,320 SD,4521,KAN,270,KRT,1175,,0,AB6 SD,4521,KRT,1175,ADD,1107,,0,320 SD,4521,KRT,1175,AMM,2170,,0,320 SD,4521,KRT,1175,AUH,2179,,0,AB6 SD,4521,KRT,1175,CAI,1128,,0,320 AB6 SD,4521,KRT,1175,DOH,11051,,0,320 AB6 SD,4521,KRT,1175,DXB,2188,,0,AB6 SD,4521,KRT,1175,EGN,6768,,0,YK2 SD,4521,KRT,1175,ELF,1169,,0,YK2 SD,4521,KRT,1175,JED,2072,,0,AB6 320 SD,4521,KRT,1175,JUB,1173,,0,320 SD,4521,KRT,1175,NDJ,999,,0,AB6 SD,4521,KRT,1175,PZU,5702,,0,YK2 320 SD,4521,KRT,1175,RUH,2082,,0,AB6 SD,4521,KRT,1175,SHJ,2191,,0,AB6 SD,4521,KRT,1175,UYL,5701,,0,320 SD,4521,NDJ,999,KAN,270,,0,AB6 SD,4521,PZU,5702,CAI,1128,,0,320 SD,4521,PZU,5702,JED,2072,,0,320 SD,4521,PZU,5702,KRT,1175,,0,YK2 320 SD,4521,RUH,2082,KRT,1175,,0,AB6 SD,4521,SHJ,2191,AUH,2179,,0,AB6 SD,4521,UYL,5701,KRT,1175,,0,320 SE,5479,BVC,1103,SID,1102,,0,738 SE,5479,CDG,1382,BVC,1103,,0,738 SE,5479,CDG,1382,CUN,1852,,0,332 SE,5479,CDG,1382,FDF,2878,,0,333 SE,5479,CDG,1382,JFK,3797,,0,763 332 SE,5479,CDG,1382,LPA,1054,,0,738 SE,5479,CDG,1382,MRS,1353,,0,332 333 SE,5479,CDG,1382,PMO,1512,,0,733 SE,5479,CDG,1382,POP,1761,,0,332 SE,5479,CDG,1382,PTP,2881,,0,333 SE,5479,CDG,1382,PUJ,1760,,0,332 333 SE,5479,CDG,1382,SID,1102,,0,738 SE,5479,CUN,1852,CDG,1382,,0,332 SE,5479,DZA,915,RUN,916,,0,332 SE,5479,FDF,2878,CDG,1382,,0,333 SE,5479,JFK,3797,CDG,1382,,0,763 332 SE,5479,LPA,1054,CDG,1382,,0,738 SE,5479,LYS,1335,CDG,1382,,0,332 SE,5479,MRS,1353,CDG,1382,,0,332 333 SE,5479,MRS,1353,DZA,915,,0,332 SE,5479,MRS,1353,RUN,916,,0,333 SE,5479,NTE,1418,CDG,1382,,0,332 SE,5479,PMO,1512,CDG,1382,,0,733 SE,5479,POP,1761,CDG,1382,,0,332 SE,5479,PTP,2881,FDF,2878,,0,333 SE,5479,PUJ,1760,CDG,1382,,0,333 SE,5479,PUJ,1760,LYS,1335,,0,332 SE,5479,PUJ,1760,NTE,1418,,0,332 SE,5479,PUJ,1760,TLS,1273,,0,332 SE,5479,RUN,916,MRS,1353,,0,332 333 SE,5479,SID,1102,CDG,1382,,0,738 SE,5479,TLS,1273,CDG,1382,,0,332 SG,4375,AMD,2994,BOM,2997,,0,737 SG,4375,AMD,2994,DEL,3093,,0,737 SG,4375,AMD,2994,DXB,2188,,0,737 SG,4375,AMD,2994,HYD,\N,,0,737 SG,4375,AMD,2994,MAA,3144,,0,737 SG,4375,AMD,2994,MCT,2194,,0,737 SG,4375,AMD,2994,PNQ,3017,,0,737 SG,4375,ATQ,3081,BOM,2997,,0,737 SG,4375,ATQ,3081,DEL,3093,,0,DH8 SG,4375,ATQ,3081,SXR,3112,,0,737 SG,4375,BLR,3131,BOM,2997,,0,737 SG,4375,BLR,3131,CCJ,3137,,0,DH8 SG,4375,BLR,3131,CCU,3043,,0,737 SG,4375,BLR,3131,COK,3136,,0,737 SG,4375,BLR,3131,DEL,3093,,0,737 SG,4375,BLR,3131,GOI,3007,,0,737 SG,4375,BLR,3131,HBX,6168,,0,DH8 SG,4375,BLR,3131,HYD,\N,,0,737 DH8 SG,4375,BLR,3131,IXE,3143,,0,DH8 SG,4375,BLR,3131,IXG,3000,,0,DH8 SG,4375,BLR,3131,MAA,3144,,0,DH8 SG,4375,BLR,3131,MYQ,7774,,0,DH8 SG,4375,BLR,3131,PNQ,3017,,0,737 SG,4375,BLR,3131,VGA,3134,,0,DH8 SG,4375,BLR,3131,VTZ,3066,,0,737 SG,4375,BOM,2997,AMD,2994,,0,737 SG,4375,BOM,2997,ATQ,3081,,0,737 SG,4375,BOM,2997,BLR,3131,,0,737 SG,4375,BOM,2997,CCU,3043,,0,737 SG,4375,BOM,2997,CJB,3135,,0,737 SG,4375,BOM,2997,COK,3136,,0,737 SG,4375,BOM,2997,DEL,3093,,0,737 SG,4375,BOM,2997,GOI,3007,,0,737 SG,4375,BOM,2997,HBX,6168,,0,DH8 SG,4375,BOM,2997,HYD,\N,,0,737 SG,4375,BOM,2997,IXE,3143,,0,737 SG,4375,BOM,2997,JLR,3009,,0,DH8 SG,4375,BOM,2997,MAA,3144,,0,737 SG,4375,BOM,2997,STV,3022,,0,737 SG,4375,BOM,2997,TRV,3153,,0,737 SG,4375,CCJ,3137,BLR,3131,,0,DH8 SG,4375,CCJ,3137,MAA,3144,,0,DH8 SG,4375,CCU,3043,BLR,3131,,0,737 SG,4375,CCU,3043,BOM,2997,,0,737 SG,4375,CCU,3043,DEL,3093,,0,737 SG,4375,CCU,3043,GAU,6173,,0,737 SG,4375,CCU,3043,HYD,\N,,0,737 SG,4375,CCU,3043,IXA,3038,,0,737 SG,4375,CCU,3043,IXB,3040,,0,737 SG,4375,CCU,3043,IXZ,3146,,0,737 SG,4375,CCU,3043,MAA,3144,,0,737 SG,4375,CJB,3135,BOM,2997,,0,737 SG,4375,CJB,3135,HYD,\N,,0,DH8 SG,4375,CJB,3135,MAA,3144,,0,DH8 737 SG,4375,CMB,3024,IXM,3142,,0,DH8 SG,4375,CMB,3024,MAA,3144,,0,DH8 SG,4375,COK,3136,BLR,3131,,0,737 SG,4375,COK,3136,BOM,2997,,0,737 SG,4375,COK,3136,DXB,2188,,0,737 SG,4375,COK,3136,HYD,\N,,0,737 DH8 SG,4375,COK,3136,MAA,3144,,0,737 DH8 SG,4375,COK,3136,MLE,3156,,0,DH8 SG,4375,COK,3136,PNQ,3017,,0,737 SG,4375,DED,3092,DEL,3093,,0,DH8 SG,4375,DEL,3093,AMD,2994,,0,737 SG,4375,DEL,3093,ATQ,3081,,0,DH8 SG,4375,DEL,3093,BLR,3131,,0,737 SG,4375,DEL,3093,BOM,2997,,0,737 SG,4375,DEL,3093,CCU,3043,,0,737 SG,4375,DEL,3093,DED,3092,,0,DH8 SG,4375,DEL,3093,DHM,6760,,0,DH8 SG,4375,DEL,3093,DXB,2188,,0,737 SG,4375,DEL,3093,GAU,6173,,0,737 SG,4375,DEL,3093,GOI,3007,,0,737 SG,4375,DEL,3093,HYD,\N,,0,737 SG,4375,DEL,3093,IDR,3008,,0,DH8 SG,4375,DEL,3093,IXB,3040,,0,737 SG,4375,DEL,3093,IXC,3089,,0,DH8 737 SG,4375,DEL,3093,IXJ,3100,,0,737 SG,4375,DEL,3093,IXU,2996,,0,737 SG,4375,DEL,3093,JAI,3098,,0,DH8 SG,4375,DEL,3093,JLR,3009,,0,DH8 SG,4375,DEL,3093,KBL,2050,,0,737 SG,4375,DEL,3093,KTM,3125,,0,737 SG,4375,DEL,3093,LKO,3105,,0,737 SG,4375,DEL,3093,MAA,3144,,0,737 SG,4375,DEL,3093,PNQ,3017,,0,737 SG,4375,DEL,3093,STV,3022,,0,737 SG,4375,DEL,3093,SXR,3112,,0,737 SG,4375,DEL,3093,UDR,3023,,0,DH8 SG,4375,DEL,3093,VNS,3084,,0,737 SG,4375,DHM,6760,DEL,3093,,0,DH8 SG,4375,DXB,2188,AMD,2994,,0,737 SG,4375,DXB,2188,COK,3136,,0,737 SG,4375,DXB,2188,DEL,3093,,0,737 SG,4375,GAU,6173,CCU,3043,,0,737 SG,4375,GAU,6173,DEL,3093,,0,737 SG,4375,GAU,6173,IXA,3038,,0,737 SG,4375,GAU,6173,IXB,3040,,0,737 SG,4375,GOI,3007,BLR,3131,,0,737 SG,4375,GOI,3007,BOM,2997,,0,737 SG,4375,GOI,3007,DEL,3093,,0,737 SG,4375,GOI,3007,HYD,\N,,0,DH8 737 SG,4375,GOI,3007,MAA,3144,,0,DH8 SG,4375,GOI,3007,PNQ,3017,,0,DH8 SG,4375,HBX,6168,BLR,3131,,0,DH8 SG,4375,HBX,6168,BOM,2997,,0,DH8 SG,4375,HYD,\N,AMD,2994,,0,737 SG,4375,HYD,\N,BLR,3131,,0,DH8 737 SG,4375,HYD,\N,BOM,2997,,0,737 SG,4375,HYD,\N,CCU,3043,,0,737 SG,4375,HYD,\N,CJB,3135,,0,DH8 SG,4375,HYD,\N,COK,3136,,0,737 DH8 SG,4375,HYD,\N,DEL,3093,,0,737 SG,4375,HYD,\N,GOI,3007,,0,DH8 737 SG,4375,HYD,\N,IDR,3008,,0,DH8 SG,4375,HYD,\N,IXM,3142,,0,DH8 SG,4375,HYD,\N,MAA,3144,,0,DH8 737 SG,4375,HYD,\N,PNQ,3017,,0,DH8 SG,4375,HYD,\N,RJA,3148,,0,DH8 SG,4375,HYD,\N,TIR,3151,,0,DH8 SG,4375,HYD,\N,VGA,3134,,0,DH8 SG,4375,HYD,\N,VTZ,3066,,0,737 SG,4375,IDR,3008,DEL,3093,,0,DH8 SG,4375,IDR,3008,HYD,\N,,0,DH8 SG,4375,IXA,3038,CCU,3043,,0,737 SG,4375,IXA,3038,GAU,6173,,0,737 SG,4375,IXB,3040,CCU,3043,,0,737 SG,4375,IXB,3040,DEL,3093,,0,737 SG,4375,IXB,3040,GAU,6173,,0,737 SG,4375,IXC,3089,DEL,3093,,0,737 DH8 SG,4375,IXC,3089,SXR,3112,,0,737 SG,4375,IXE,3143,BLR,3131,,0,DH8 SG,4375,IXE,3143,BOM,2997,,0,737 SG,4375,IXG,3000,BLR,3131,,0,DH8 SG,4375,IXJ,3100,DEL,3093,,0,737 SG,4375,IXJ,3100,SXR,3112,,0,737 SG,4375,IXM,3142,CMB,3024,,0,DH8 SG,4375,IXM,3142,HYD,\N,,0,DH8 SG,4375,IXM,3142,MAA,3144,,0,737 SG,4375,IXU,2996,DEL,3093,,0,737 SG,4375,IXZ,3146,CCU,3043,,0,737 SG,4375,IXZ,3146,MAA,3144,,0,737 SG,4375,JAI,3098,DEL,3093,,0,DH8 SG,4375,JLR,3009,BOM,2997,,0,DH8 SG,4375,JLR,3009,DEL,3093,,0,DH8 SG,4375,KBL,2050,DEL,3093,,0,737 SG,4375,KTM,3125,DEL,3093,,0,737 SG,4375,LKO,3105,DEL,3093,,0,737 SG,4375,MAA,3144,AMD,2994,,0,737 SG,4375,MAA,3144,BLR,3131,,0,DH8 SG,4375,MAA,3144,BOM,2997,,0,737 SG,4375,MAA,3144,CCJ,3137,,0,DH8 SG,4375,MAA,3144,CCU,3043,,0,737 SG,4375,MAA,3144,CJB,3135,,0,DH8 737 SG,4375,MAA,3144,CMB,3024,,0,DH8 SG,4375,MAA,3144,COK,3136,,0,DH8 737 SG,4375,MAA,3144,DEL,3093,,0,737 SG,4375,MAA,3144,GOI,3007,,0,DH8 SG,4375,MAA,3144,HYD,\N,,0,737 DH8 SG,4375,MAA,3144,IXM,3142,,0,737 SG,4375,MAA,3144,IXZ,3146,,0,737 SG,4375,MAA,3144,PNQ,3017,,0,737 SG,4375,MAA,3144,TCR,9842,,0,DH8 SG,4375,MAA,3144,TRV,3153,,0,DH8 SG,4375,MAA,3144,VTZ,3066,,0,DH8 SG,4375,MCT,2194,AMD,2994,,0,737 SG,4375,MLE,3156,COK,3136,,0,DH8 SG,4375,MYQ,7774,BLR,3131,,0,DH8 SG,4375,PNQ,3017,AMD,2994,,0,737 SG,4375,PNQ,3017,BLR,3131,,0,737 SG,4375,PNQ,3017,COK,3136,,0,737 SG,4375,PNQ,3017,DEL,3093,,0,737 SG,4375,PNQ,3017,GOI,3007,,0,DH8 SG,4375,PNQ,3017,HYD,\N,,0,DH8 SG,4375,PNQ,3017,MAA,3144,,0,737 SG,4375,PNQ,3017,SHJ,2191,,0,737 SG,4375,RJA,3148,HYD,\N,,0,DH8 SG,4375,SHJ,2191,PNQ,3017,,0,737 SG,4375,STV,3022,BOM,2997,,0,737 SG,4375,STV,3022,DEL,3093,,0,737 SG,4375,SXR,3112,ATQ,3081,,0,737 SG,4375,SXR,3112,DEL,3093,,0,737 SG,4375,SXR,3112,IXC,3089,,0,737 SG,4375,SXR,3112,IXJ,3100,,0,737 SG,4375,TCR,9842,MAA,3144,,0,DH8 SG,4375,TIR,3151,HYD,\N,,0,DH8 SG,4375,TRV,3153,BOM,2997,,0,737 SG,4375,TRV,3153,MAA,3144,,0,DH8 SG,4375,UDR,3023,DEL,3093,,0,DH8 SG,4375,VGA,3134,BLR,3131,,0,DH8 SG,4375,VGA,3134,HYD,\N,,0,DH8 SG,4375,VNS,3084,DEL,3093,,0,737 SG,4375,VTZ,3066,BLR,3131,,0,737 SG,4375,VTZ,3066,HYD,\N,,0,737 SG,4375,VTZ,3066,MAA,3144,,0,DH8 SH,10675,ADL,3341,PUG,6312,,0,SWM SH,10675,BWT,6338,KNS,6278,,0,SWM SH,10675,BWT,6338,LST,3337,,0,SWM SH,10675,FLS,6267,LST,3337,,0,SWM SH,10675,KNS,6278,BWT,6338,,0,SWM SH,10675,LST,3337,BWT,6338,,0,SWM SH,10675,LST,3337,FLS,6267,,0,SWM SH,10675,MEB,3334,FLS,6267,,0,SWM SH,10675,PTJ,6321,MEB,3334,,0,SWM SH,10675,PUG,6312,ADL,3341,,0,SWM SI,4438,AMS,580,GCI,498,,0,AT4 ATR SI,4438,AMS,580,JER,499,,0,AT4 SI,4438,BRS,490,JER,499,,0,AT4 ATR SI,4438,CDG,1382,JER,499,,0,AT4 SI,4438,GCI,498,AMS,580,,0,AT4 SI,4438,GCI,498,JER,499,,0,AT4 ATR SI,4438,GCI,498,SOU,495,,0,AT7 SI,4438,GVA,1665,JER,499,,0,AT5 AT4 SI,4438,JER,499,AMS,580,,0,AT4 SI,4438,JER,499,BRS,490,,0,AT4 SI,4438,JER,499,CDG,1382,,0,AT4 SI,4438,JER,499,GCI,498,,0,AT4 ATR SI,4438,JER,499,GVA,1665,,0,AT5 SI,4438,JER,499,LCY,503,,0,AT5 SI,4438,JER,499,SOU,495,,0,J32 SI,4438,JER,499,ZRH,1678,,0,AT5 SI,4438,LCY,503,JER,499,,0,AT5 AT4 SI,4438,SOU,495,GCI,498,,0,AT7 SI,4438,SOU,495,JER,499,,0,J32 SI,4438,ZRH,1678,JER,499,,0,AT5 AT4 SJ,4454,AMQ,3256,UPG,3240,,0,738 SJ,4454,BDJ,3908,BPN,3919,,0,735 SJ,4454,BDJ,3908,CGK,3275,,0,735 SJ,4454,BEJ,6209,BPN,3919,,0,733 735 SJ,4454,BIK,3241,DJJ,3244,,0,738 SJ,4454,BIK,3241,UPG,3240,,0,738 SJ,4454,BKS,3288,CGK,3275,,0,735 SJ,4454,BPN,3919,BDJ,3908,,0,735 SJ,4454,BPN,3919,BEJ,6209,,0,735 733 SJ,4454,BPN,3919,CGK,3275,,0,738 733 SJ,4454,BPN,3919,JOG,3898,,0,733 SJ,4454,BPN,3919,PLW,3249,,0,735 SJ,4454,BPN,3919,SUB,3928,,0,733 735 SJ,4454,BPN,3919,TRK,3920,,0,738 733 SJ,4454,BPN,3919,UPG,3240,,0,735 SJ,4454,BTH,3903,CGK,3275,,0,733 SJ,4454,BTH,3903,DJB,3287,,0,735 SJ,4454,CGK,3275,BDJ,3908,,0,735 SJ,4454,CGK,3275,BKS,3288,,0,735 SJ,4454,CGK,3275,BPN,3919,,0,738 733 SJ,4454,CGK,3275,BTH,3903,,0,733 SJ,4454,CGK,3275,DJB,3287,,0,735 SJ,4454,CGK,3275,DPS,3940,,0,735 738 SJ,4454,CGK,3275,JOG,3898,,0,733 735 SJ,4454,CGK,3275,MLG,3894,,0,733 SJ,4454,CGK,3275,PDG,8807,,0,733 735 SJ,4454,CGK,3275,PGK,3905,,0,733 735 SJ,4454,CGK,3275,PKU,3273,,0,735 SJ,4454,CGK,3275,PLM,3289,,0,735 733 SJ,4454,CGK,3275,PNK,3284,,0,734 733 SJ,4454,CGK,3275,SOC,3929,,0,733 735 SJ,4454,CGK,3275,SRG,3901,,0,735 SJ,4454,CGK,3275,SUB,3928,,0,735 734 733 SJ,4454,CGK,3275,TJQ,3904,,0,733 735 SJ,4454,CGK,3275,TKG,6223,,0,735 734 SJ,4454,CGK,3275,TNJ,3906,,0,733 SJ,4454,CGK,3275,TTE,3253,,0,735 SJ,4454,CGK,3275,UPG,3240,,0,735 738 733 SJ,4454,DIL,3310,DPS,3940,,0,735 SJ,4454,DJB,3287,BTH,3903,,0,735 SJ,4454,DJB,3287,CGK,3275,,0,735 SJ,4454,DJJ,3244,BIK,3241,,0,738 SJ,4454,DJJ,3244,MKQ,3246,,0,738 SJ,4454,DJJ,3244,MKW,3260,,0,733 SJ,4454,DJJ,3244,TIM,3243,,0,738 SJ,4454,DJJ,3244,UPG,3240,,0,738 SJ,4454,DPS,3940,CGK,3275,,0,735 738 SJ,4454,DPS,3940,DIL,3310,,0,735 SJ,4454,GTO,3247,UPG,3240,,0,733 SJ,4454,JOG,3898,BPN,3919,,0,733 SJ,4454,JOG,3898,CGK,3275,,0,733 735 SJ,4454,JOG,3898,SUB,3928,,0,735 SJ,4454,KDI,3890,UPG,3240,,0,735 SJ,4454,KOE,3916,SUB,3928,,0,734 SJ,4454,LUW,3254,UPG,3240,,0,735 SJ,4454,MDC,3250,SUB,3928,,0,735 SJ,4454,MDC,3250,TTE,3253,,0,735 SJ,4454,MKQ,3246,DJJ,3244,,0,738 SJ,4454,MKW,3260,DJJ,3244,,0,733 SJ,4454,MKW,3260,SOQ,3261,,0,735 SJ,4454,MKW,3260,UPG,3240,,0,733 SJ,4454,MLG,3894,CGK,3275,,0,733 SJ,4454,PDG,8807,CGK,3275,,0,733 735 SJ,4454,PGK,3905,CGK,3275,,0,735 733 SJ,4454,PGK,3905,PLM,3289,,0,735 SJ,4454,PKU,3273,CGK,3275,,0,735 SJ,4454,PLM,3289,CGK,3275,,0,735 733 SJ,4454,PLM,3289,PGK,3905,,0,735 SJ,4454,PLW,3249,BPN,3919,,0,735 SJ,4454,PLW,3249,UPG,3240,,0,735 SJ,4454,PNK,3284,CGK,3275,,0,733 734 SJ,4454,SOC,3929,CGK,3275,,0,733 735 SJ,4454,SOQ,3261,MKW,3260,,0,735 SJ,4454,SOQ,3261,UPG,3240,,0,735 SJ,4454,SRG,3901,CGK,3275,,0,735 SJ,4454,SRG,3901,SUB,3928,,0,735 SJ,4454,SUB,3928,BPN,3919,,0,735 733 SJ,4454,SUB,3928,CGK,3275,,0,734 735 733 SJ,4454,SUB,3928,JOG,3898,,0,735 SJ,4454,SUB,3928,KOE,3916,,0,734 SJ,4454,SUB,3928,MDC,3250,,0,735 SJ,4454,SUB,3928,SRG,3901,,0,735 SJ,4454,SUB,3928,UPG,3240,,0,735 733 SJ,4454,TIM,3243,DJJ,3244,,0,738 SJ,4454,TIM,3243,UPG,3240,,0,738 SJ,4454,TJQ,3904,CGK,3275,,0,733 735 SJ,4454,TKG,6223,CGK,3275,,0,735 734 SJ,4454,TNJ,3906,CGK,3275,,0,733 SJ,4454,TRK,3920,BPN,3919,,0,733 738 SJ,4454,TTE,3253,CGK,3275,,0,735 SJ,4454,TTE,3253,MDC,3250,,0,735 SJ,4454,TTE,3253,UPG,3240,,0,735 SJ,4454,UPG,3240,AMQ,3256,,0,738 SJ,4454,UPG,3240,BIK,3241,,0,738 SJ,4454,UPG,3240,BPN,3919,,0,735 SJ,4454,UPG,3240,CGK,3275,,0,733 738 735 SJ,4454,UPG,3240,DJJ,3244,,0,738 SJ,4454,UPG,3240,GTO,3247,,0,733 SJ,4454,UPG,3240,KDI,3890,,0,735 SJ,4454,UPG,3240,LUW,3254,,0,735 SJ,4454,UPG,3240,MKW,3260,,0,733 SJ,4454,UPG,3240,PLW,3249,,0,735 SJ,4454,UPG,3240,SOQ,3261,,0,735 SJ,4454,UPG,3240,SUB,3928,,0,735 733 SJ,4454,UPG,3240,TIM,3243,,0,738 SJ,4454,UPG,3240,TTE,3253,,0,735 SK,4319,AAL,628,ARN,737,,0,S20 SK,4319,AAL,628,BLL,608,,0,319 SK,4319,AAL,628,CPH,609,,0,320 319 CR2 CR9 321 SK,4319,AAL,628,OSL,644,,0,73H 73G SK,4319,AAR,607,CPH,609,,0,AT7 320 CR2 SK,4319,ABZ,532,BGO,636,Y,0,DH4 DH3 SK,4319,ABZ,532,CPH,609,,0,CR9 CR2 SK,4319,ABZ,532,OSL,644,,0,736 73W 73H SK,4319,ABZ,532,SVG,666,,0,736 73G SK,4319,ADD,1107,HRE,1005,Y,0,788 SK,4319,ADD,1107,JED,2072,Y,0,333 SK,4319,AES,630,BGO,636,,0,736 SK,4319,AES,630,CPH,609,,0,CR2 CR9 SK,4319,AES,630,OSL,644,,0,738 73G 736 73W 73H SK,4319,AES,630,TRD,665,,0,736 SK,4319,AGH,5597,ARN,737,,0,736 S20 73W 717 73H AT7 SK,4319,AGP,1230,ARN,737,,0,73H SK,4319,AGP,1230,CPH,609,,0,321 SK,4319,AGP,1230,GOT,687,,0,73H SK,4319,AGP,1230,OSL,644,,0,738 SK,4319,AJR,730,LYC,719,Y,0,ATP SK,4319,ALC,1212,ARN,737,,0,73H SK,4319,ALC,1212,BGO,636,,0,738 SK,4319,ALC,1212,KRS,638,,0,73H SK,4319,ALC,1212,OSL,644,,0,73H 738 73G SK,4319,ALC,1212,SVG,666,,0,73H SK,4319,ALC,1212,TRD,665,,0,738 SK,4319,ALF,632,OSL,644,,0,73G 73W 736 SK,4319,ALF,632,TOS,663,,0,73G 73W SK,4319,AMS,580,ARN,737,,0,717 73W 736 SK,4319,AMS,580,CPH,609,,0,320 319 321 CR9 SK,4319,AMS,580,OSL,644,,0,736 738 73G 73H SK,4319,ARN,737,AAL,628,,0,S20 SK,4319,ARN,737,ADD,1107,Y,0,752 SK,4319,ARN,737,AGH,5597,,0,736 S20 73W 717 73H AT7 SK,4319,ARN,737,AGP,1230,,0,73H SK,4319,ARN,737,ALC,1212,,0,73H SK,4319,ARN,737,AMS,580,,0,717 73W 736 SK,4319,ARN,737,ATH,3941,,0,73H SK,4319,ARN,737,BCN,1218,,0,73H SK,4319,ARN,737,BGO,636,,0,736 73W SK,4319,ARN,737,BHX,469,,0,717 SK,4319,ARN,737,BKK,3885,,0,773 SK,4319,ARN,737,BLL,608,,0,S20 SK,4319,ARN,737,BLQ,1538,,0,73W SK,4319,ARN,737,BRU,302,,0,736 73W 717 SK,4319,ARN,737,CDG,1382,,0,73H 73G 736 73W 717 SK,4319,ARN,737,CPH,609,,0,73W 320 73H 321 319 73G 736 717 SK,4319,ARN,737,DBV,1200,,0,73H 73W SK,4319,ARN,737,DUB,599,,0,73H 736 717 73W SK,4319,ARN,737,DUS,345,,0,736 717 73W 73H SK,4319,ARN,737,EDI,535,,0,717 73G 73H SK,4319,ARN,737,EWR,3494,,0,333 SK,4319,ARN,737,FCO,1555,,0,73H SK,4319,ARN,737,FRA,340,,0,73W 73H 717 736 73G SK,4319,ARN,737,GEV,715,,1,ATP SK,4319,ARN,737,GOT,687,,0,73W 73G 73H 736 717 SK,4319,ARN,737,GVA,1665,,0,736 73H 717 SK,4319,ARN,737,HAM,342,,0,73G 73H 73W 736 717 SK,4319,ARN,737,HEL,421,Y,0,717 73W AT7 SK,4319,ARN,737,IST,1701,,0,738 321 SK,4319,ARN,737,KLR,707,,0,736 AT7 73W SK,4319,ARN,737,KLX,1456,,0,319 SK,4319,ARN,737,KRF,718,Y,0,ATP SK,4319,ARN,737,KRN,724,,0,73H 73W 736 73G SK,4319,ARN,737,LED,2948,,0,736 73H 73W 73G SK,4319,ARN,737,LHR,507,,0,73W 73H 736 73G 717 SK,4319,ARN,737,LIN,1529,,0,73W 73H 717 736 SK,4319,ARN,737,LLA,734,,0,73H 736 73W 73G 717 SK,4319,ARN,737,LYC,719,Y,0,ATP SK,4319,ARN,737,MAD,1229,,0,73H 73W SK,4319,ARN,737,MAN,478,,0,736 717 73H 73W SK,4319,ARN,737,MLA,1606,,0,73H SK,4319,ARN,737,MMX,708,,0,717 73W 736 73H 73G AT7 SK,4319,ARN,737,MUC,346,Y,0,320 CR9 321 319 SK,4319,ARN,737,NCE,1354,,0,73H 73W SK,4319,ARN,737,ORD,3830,,0,333 SK,4319,ARN,737,OSD,5593,,0,736 73W 73H 73G SK,4319,ARN,737,OSL,644,,0,736 73H 73W 738 73G 717 SK,4319,ARN,737,OUL,446,Y,0,S20 SK,4319,ARN,737,PEK,3364,Y,0,333 SK,4319,ARN,737,PMI,3998,,0,73H SK,4319,ARN,737,PRG,1587,,0,73H 717 SK,4319,ARN,737,PUY,1203,,0,717 SK,4319,ARN,737,RIX,3953,Y,0,733 DH4 735 73C SK,4319,ARN,737,RNB,685,,0,736 S20 717 73W AT7 73H SK,4319,ARN,737,SDL,721,,0,736 AT7 73W S20 73H 717 SK,4319,ARN,737,SFT,726,,0,73H 736 73W 73G 717 SK,4319,ARN,737,SKG,1486,,0,736 SK,4319,ARN,737,SPU,1206,,0,73H SK,4319,ARN,737,SVG,666,Y,0,S20 736 SK,4319,ARN,737,SVO,2985,,0,73H 736 73W SK,4319,ARN,737,TKU,460,,0,AT7 S20 SK,4319,ARN,737,TLL,415,Y,0,E70 CR9 SK,4319,ARN,737,TMP,458,Y,0,S20 SK,4319,ARN,737,TOS,663,,0,717 SK,4319,ARN,737,TRD,665,,0,717 73W SK,4319,ARN,737,TXL,351,,0,73H 717 73W 736 SK,4319,ARN,737,UME,728,,0,73W 73H 736 73G SK,4319,ARN,737,VAA,462,Y,0,S20 AT7 SK,4319,ARN,737,VBY,746,,0,AT7 SK,4319,ARN,737,VHM,729,Y,0,SF3 SK,4319,ARN,737,VNO,3959,,0,S20 SK,4319,ARN,737,ZRH,1678,,0,717 73G 736 73W 73H SK,4319,ATH,3941,ARN,737,,0,73H SK,4319,ATH,3941,CPH,609,,0,321 SK,4319,ATH,3941,OSL,644,,0,73W 73G SK,4319,BCN,1218,ARN,737,,0,73H SK,4319,BCN,1218,CPH,609,,0,321 SK,4319,BCN,1218,OSL,644,,0,738 73G SK,4319,BEG,1739,FRA,340,,0,320 32A 319 321 SK,4319,BEG,1739,MUC,346,,0,E95 SK,4319,BGO,636,ABZ,532,Y,0,DH4 DH3 SK,4319,BGO,636,AES,630,,0,736 SK,4319,BGO,636,ALC,1212,,0,738 SK,4319,BGO,636,ARN,737,,0,736 73W SK,4319,BGO,636,CPH,609,,0,320 319 CR9 321 717 73G 73W 738 736 SK,4319,BGO,636,FRA,340,Y,0,735 E90 SK,4319,BGO,636,MAN,478,,0,736 SK,4319,BGO,636,OSL,644,,0,73G 73W 73H 736 738 SK,4319,BGO,636,SVG,666,,0,736 SK,4319,BGO,636,TRD,665,,0,736 73W SK,4319,BHX,469,ARN,737,,0,717 SK,4319,BHX,469,CPH,609,,0,CR9 319 320 SK,4319,BIQ,1280,CPH,609,,0,CR9 SK,4319,BKK,3885,ARN,737,,0,773 SK,4319,BKK,3885,CPH,609,,0,773 SK,4319,BKK,3885,OSL,644,,0,773 SK,4319,BKK,3885,SIN,3316,Y,0,333 SK,4319,BLL,608,ARN,737,,0,S20 SK,4319,BLL,608,CPH,609,Y,0,AT7 SK,4319,BLL,608,FRA,340,Y,0,733 735 SK,4319,BLL,608,IST,1701,,0,319 738 SK,4319,BLL,608,OSL,644,,0,AT7 SK,4319,BLQ,1538,ARN,737,,0,73W SK,4319,BLQ,1538,CPH,609,,0,CR9 319 SK,4319,BOO,635,OSL,644,,0,738 73G 736 73H 73W SK,4319,BOO,635,TOS,663,,0,736 73W SK,4319,BOO,635,TRD,665,,0,736 SK,4319,BRE,353,CPH,609,,0,AT7 CR2 SK,4319,BRU,302,ARN,737,,0,736 73W 717 SK,4319,BRU,302,CPH,609,,0,319 320 CR9 321 SK,4319,BRU,302,OSL,644,,0,738 73W 73G 73H 736 SK,4319,BSL,1423,FRA,340,,0,CR7 SK,4319,BSL,1423,MUC,346,,0,CR7 CR9 SK,4319,BUD,1489,CPH,609,,0,320 SK,4319,BUD,1489,FRA,340,Y,0,320 321 SK,4319,CAI,1128,CPH,609,Y,0,738 SK,4319,CDG,1382,ARN,737,,0,73H 73G 736 73W 717 SK,4319,CDG,1382,CPH,609,,0,320 321 319 SK,4319,CDG,1382,OSL,644,,0,738 73W 736 73H 73G SK,4319,CHQ,1474,OSL,644,,0,738 SK,4319,CPH,609,AAL,628,,0,320 CR2 319 CR9 321 SK,4319,CPH,609,AAR,607,,0,AT7 320 CR2 SK,4319,CPH,609,ABZ,532,,0,CR9 CR2 SK,4319,CPH,609,AES,630,,0,CR2 CR9 SK,4319,CPH,609,AGP,1230,,0,321 SK,4319,CPH,609,AMS,580,,0,320 319 321 CR9 SK,4319,CPH,609,ARN,737,,0,320 319 73W 73H 321 73G 736 717 SK,4319,CPH,609,ATH,3941,,0,321 SK,4319,CPH,609,BCN,1218,,0,321 SK,4319,CPH,609,BGO,636,,0,319 320 CR9 321 717 73G 73W 738 736 SK,4319,CPH,609,BHX,469,,0,CR9 319 320 SK,4319,CPH,609,BIQ,1280,,0,CR9 SK,4319,CPH,609,BKK,3885,,0,773 SK,4319,CPH,609,BLL,608,Y,0,AT7 SK,4319,CPH,609,BLQ,1538,,0,CR9 319 SK,4319,CPH,609,BRE,353,,0,AT7 CR2 SK,4319,CPH,609,BRU,302,,0,320 CR9 321 319 SK,4319,CPH,609,BUD,1489,,0,320 SK,4319,CPH,609,CAI,1128,Y,0,738 SK,4319,CPH,609,CDG,1382,,0,321 320 319 SK,4319,CPH,609,DUB,599,,0,320 321 SK,4319,CPH,609,DUS,345,,0,CR9 CR2 SK,4319,CPH,609,EWR,3494,,0,333 343 SK,4319,CPH,609,FCO,1555,,0,321 SK,4319,CPH,609,FRA,340,,0,320 32A 319 321 CR9 SK,4319,CPH,609,GDN,668,,0,CR9 319 CR2 SK,4319,CPH,609,GOT,687,,0,319 320 321 CR9 SK,4319,CPH,609,GVA,1665,,0,319 CR9 717 SK,4319,CPH,609,GZP,8266,,0,320 SK,4319,CPH,609,HAJ,352,,0,CR2 AT7 SK,4319,CPH,609,HAM,342,,0,CR9 CR2 SK,4319,CPH,609,HAU,645,Y,0,DH4 SK,4319,CPH,609,HEL,421,,0,CR2 SK,4319,CPH,609,IAD,3714,,0,343 SK,4319,CPH,609,IST,1701,,0,738 321 SK,4319,CPH,609,KRS,638,Y,0,DH4 SK,4319,CPH,609,LBA,517,,0,CR9 SK,4319,CPH,609,LED,2948,,0,321 320 SK,4319,CPH,609,LHR,507,,0,321 320 CR9 SK,4319,CPH,609,LIN,1529,,0,CR9 SK,4319,CPH,609,LJU,1569,Y,0,CR9 SK,4319,CPH,609,LPI,742,,0,AT7 SK,4319,CPH,609,LUX,629,,0,CR9 SK,4319,CPH,609,MAD,1229,,0,320 321 SK,4319,CPH,609,MAN,478,,0,320 321 319 717 CR9 SK,4319,CPH,609,MUC,346,,0,CR9 320 321 319 SK,4319,CPH,609,MXP,1524,,0,321 320 SK,4319,CPH,609,NCE,1354,,0,321 320 SK,4319,CPH,609,NCL,521,Y,0,CR2 SK,4319,CPH,609,NRT,2279,,0,343 SK,4319,CPH,609,ORD,3830,,0,343 SK,4319,CPH,609,OSL,644,,0,320 321 73H 73G 738 319 73W 736 SK,4319,CPH,609,OTP,1657,,0,320 CR9 SK,4319,CPH,609,PEK,3364,,0,343 SK,4319,CPH,609,PLQ,3958,,0,CR9 CR2 SK,4319,CPH,609,PMI,3998,,0,320 321 SK,4319,CPH,609,POZ,674,,0,CR2 SK,4319,CPH,609,PRG,1587,,0,320 CR9 SK,4319,CPH,609,PRN,1742,,0,320 CR9 SK,4319,CPH,609,PVG,3406,,0,343 SK,4319,CPH,609,RIX,3953,Y,0,DH4 73C 733 SK,4319,CPH,609,SFO,3469,,0,343 SK,4319,CPH,609,SIN,3316,Y,0,772 SK,4319,CPH,609,SKG,1486,,0,320 SK,4319,CPH,609,SPU,1206,,0,320 SK,4319,CPH,609,STR,350,,0,CR9 CR2 SK,4319,CPH,609,SVG,666,,0,CR9 319 321 320 736 738 73G SK,4319,CPH,609,SVO,2985,,0,320 CR9 SK,4319,CPH,609,TKU,460,,0,CR9 CR2 SK,4319,CPH,609,TLL,415,Y,0,CR9 E70 SK,4319,CPH,609,TLV,1590,,0,321 320 SK,4319,CPH,609,TRD,665,,0,CR9 SK,4319,CPH,609,TRF,664,Y,0,DH4 SK,4319,CPH,609,TXL,351,,0,320 CR2 321 319 CR9 SK,4319,CPH,609,VCE,1551,,0,320 319 SK,4319,CPH,609,VNO,3959,,0,CR9 SK,4319,CPH,609,WAW,679,,0,CR9 319 SK,4319,CPH,609,WRO,680,,0,CR2 SK,4319,CPH,609,YYZ,193,Y,0,763 SK,4319,CPH,609,ZAG,1208,Y,0,319 DH4 SK,4319,CPH,609,ZRH,1678,,0,321 320 319 CR9 SK,4319,DBV,1200,ARN,737,,0,73H 73W SK,4319,DUB,599,ARN,737,,0,73H 736 717 73W SK,4319,DUB,599,CPH,609,,0,320 321 SK,4319,DUB,599,OSL,644,,0,73G 738 73W SK,4319,DUS,345,ARN,737,,0,736 717 73W 73H SK,4319,DUS,345,CPH,609,,0,CR9 CR2 SK,4319,DUS,345,OSL,644,,0,73G 73W 738 736 SK,4319,EDI,535,ARN,737,,0,717 73G 73H SK,4319,EDI,535,OSL,644,,0,73W SK,4319,EDI,535,SVG,666,,0,738 73W SK,4319,EVE,641,OSL,644,,0,73W 73G 738 736 73H SK,4319,EWR,3494,ARN,737,,0,333 SK,4319,EWR,3494,CPH,609,,0,333 343 SK,4319,EWR,3494,OSL,644,,0,333 SK,4319,FCO,1555,ARN,737,,0,73H SK,4319,FCO,1555,CPH,609,,0,321 SK,4319,FCO,1555,OSL,644,,0,738 73W SK,4319,FRA,340,ARN,737,,0,73W 73H 717 736 73G SK,4319,FRA,340,BEG,1739,,0,320 32A 319 321 SK,4319,FRA,340,BGO,636,Y,0,735 E90 SK,4319,FRA,340,BLL,608,Y,0,735 733 SK,4319,FRA,340,BSL,1423,,0,CR7 SK,4319,FRA,340,CPH,609,,0,320 32A 319 321 CR9 SK,4319,FRA,340,GOT,687,Y,0,319 32A 733 321 SK,4319,FRA,340,HEL,421,Y,0,321 32A 320 SK,4319,FRA,340,JED,2072,Y,0,333 SK,4319,FRA,340,OSL,644,,0,738 73W 73H 73G 736 SK,4319,FRA,340,SVG,666,Y,0,735 319 733 SK,4319,GDN,668,CPH,609,,0,319 CR9 CR2 SK,4319,GDN,668,OSL,644,,0,738 73G 73W SK,4319,GEV,715,ARN,737,,0,ATP SK,4319,GEV,715,KRF,718,Y,0,ATP SK,4319,GOT,687,AGP,1230,,0,73H SK,4319,GOT,687,ARN,737,,0,73W 73H 73G 736 717 SK,4319,GOT,687,CPH,609,,0,321 319 320 CR9 SK,4319,GOT,687,FRA,340,Y,0,32A 319 733 321 SK,4319,GOT,687,IST,1701,,0,739 SK,4319,GOT,687,LHR,507,,0,73H 73W 736 SK,4319,GOT,687,MUC,346,Y,0,E95 CR9 SK,4319,GOT,687,OSL,644,Y,0,DH3 SK,4319,GOT,687,PMI,3998,,0,320 SK,4319,GOT,687,SPU,1206,,0,73H SK,4319,GVA,1665,ARN,737,,0,736 73H 717 SK,4319,GVA,1665,CPH,609,,0,319 CR9 717 SK,4319,GZP,8266,CPH,609,,0,320 SK,4319,GZP,8266,OSL,644,,0,73W SK,4319,HAD,709,VXO,711,Y,0,SF3 SK,4319,HAJ,352,CPH,609,,0,CR2 AT7 SK,4319,HAM,342,ARN,737,,0,73G 73H 73W 736 717 SK,4319,HAM,342,CPH,609,,0,CR9 CR2 SK,4319,HAU,645,CPH,609,Y,0,DH4 SK,4319,HAU,645,OSL,644,,0,736 73G 73H 738 73W SK,4319,HEL,421,ARN,737,Y,0,717 73W AT7 SK,4319,HEL,421,CPH,609,,0,CR2 SK,4319,HEL,421,FRA,340,Y,0,321 32A 320 SK,4319,HEL,421,IST,1701,,0,321 SK,4319,HEL,421,MUC,346,Y,0,320 319 SK,4319,HEL,421,OSL,644,Y,0,717 SK,4319,HMV,5599,VHM,729,Y,0,SF3 SK,4319,HRE,1005,LUN,907,Y,0,788 SK,4319,IAD,3714,CPH,609,,0,343 SK,4319,IST,1701,AAL,628,,0,319 738 SK,4319,IST,1701,ARN,737,,0,321 738 SK,4319,IST,1701,CPH,609,,0,321 738 SK,4319,IST,1701,GOT,687,,0,739 SK,4319,IST,1701,HEL,421,,0,321 SK,4319,IST,1701,OSL,644,,0,321 738 SK,4319,JED,2072,ADD,1107,Y,0,333 SK,4319,JED,2072,FRA,340,Y,0,333 SK,4319,KEF,16,OSL,644,,0,738 73W SK,4319,KKN,649,OSL,644,,0,73W 73G 736 SK,4319,KLR,707,ARN,737,,0,736 AT7 73W SK,4319,KLX,1456,ARN,737,,0,319 SK,4319,KRF,718,ARN,737,Y,0,ATP SK,4319,KRF,718,GEV,715,Y,0,ATP SK,4319,KRN,724,ARN,737,,0,736 73H 73W 73G SK,4319,KRS,638,ALC,1212,,0,73H SK,4319,KRS,638,CPH,609,Y,0,DH4 SK,4319,KRS,638,OSL,644,,0,736 738 73G 73W 73H SK,4319,KSU,647,OSL,644,,0,736 738 73W 73H 73G SK,4319,LBA,517,CPH,609,,0,CR9 SK,4319,LED,2948,ARN,737,,0,736 73H 73W 73G SK,4319,LED,2948,CPH,609,,0,321 320 SK,4319,LHR,507,ARN,737,,0,73W 73H 736 73G 717 SK,4319,LHR,507,CPH,609,,0,320 321 CR9 SK,4319,LHR,507,GOT,687,,0,73H 73W 736 SK,4319,LHR,507,OSL,644,,0,738 73G 73H 736 73W SK,4319,LHR,507,SVG,666,,0,73W 73G 736 738 73H SK,4319,LIN,1529,ARN,737,,0,73W 73H 717 736 SK,4319,LIN,1529,CPH,609,,0,CR9 SK,4319,LJU,1569,CPH,609,Y,0,CR9 SK,4319,LLA,734,ARN,737,,0,73H 736 73W 73G 717 SK,4319,LPA,1054,OSL,644,,0,738 SK,4319,LPI,742,CPH,609,,0,AT7 SK,4319,LUX,629,CPH,609,,0,CR9 SK,4319,LYC,719,AJR,730,Y,0,ATP SK,4319,LYC,719,ARN,737,Y,0,ATP SK,4319,LYR,658,OSL,644,,0,73H 738 73W SK,4319,LYR,658,TOS,663,,0,73H 738 SK,4319,MAD,1229,ARN,737,,0,73H 73W SK,4319,MAD,1229,CPH,609,,0,320 321 SK,4319,MAN,478,ARN,737,,0,736 717 73H 73W SK,4319,MAN,478,BGO,636,,0,736 SK,4319,MAN,478,CPH,609,,0,320 321 319 717 CR9 SK,4319,MAN,478,OSL,644,,0,738 736 SK,4319,MBA,1145,ADD,1107,Y,0,738 SK,4319,MLA,1606,ARN,737,,0,73H SK,4319,MMX,708,ARN,737,,0,73H 736 717 73W 73G AT7 SK,4319,MOL,651,OSL,644,,0,73G 73H 736 73W SK,4319,MUC,346,ARN,737,Y,0,CR9 320 321 319 SK,4319,MUC,346,BEG,1739,,0,E95 SK,4319,MUC,346,BSL,1423,,0,CR9 CR7 SK,4319,MUC,346,CPH,609,,0,CR9 320 321 319 SK,4319,MUC,346,GOT,687,Y,0,E95 CR9 SK,4319,MUC,346,HEL,421,Y,0,319 320 SK,4319,MUC,346,MAD,1229,,0,321 SK,4319,MUC,346,OSL,644,,0,73H 73G 73W SK,4319,MXP,1524,CPH,609,,0,321 320 SK,4319,MXP,1524,OSL,644,,0,738 73G 73H SK,4319,NCE,1354,ARN,737,,0,73H 73W SK,4319,NCE,1354,CPH,609,,0,321 320 SK,4319,NCE,1354,OSL,644,,0,738 73H 73G SK,4319,NCL,521,CPH,609,Y,0,CR2 SK,4319,NCL,521,SVG,666,Y,0,DH4 SK,4319,NRT,2279,CPH,609,,0,343 SK,4319,ORD,3830,ARN,737,,0,333 SK,4319,ORD,3830,CPH,609,,0,343 SK,4319,OSD,5593,ARN,737,,0,73G 736 73W 73H SK,4319,OSL,644,AAL,628,,0,73H 73G SK,4319,OSL,644,ABZ,532,,0,736 73W 73H SK,4319,OSL,644,AES,630,,0,736 73W 73G 73H 738 SK,4319,OSL,644,AGP,1230,,0,738 SK,4319,OSL,644,ALC,1212,,0,73H 738 73G SK,4319,OSL,644,ALF,632,,0,73G 73W 736 SK,4319,OSL,644,AMS,580,,0,736 738 73G 73H SK,4319,OSL,644,ARN,737,,0,73W 738 736 73H 73G 717 SK,4319,OSL,644,ATH,3941,,0,73W 73G SK,4319,OSL,644,BCN,1218,,0,738 73G SK,4319,OSL,644,BGO,636,,0,73H 736 73W 73G 738 SK,4319,OSL,644,BKK,3885,,0,773 SK,4319,OSL,644,BLL,608,,0,AT7 SK,4319,OSL,644,BOO,635,,0,73G 738 736 73H 73W SK,4319,OSL,644,BRU,302,,0,738 73W 73G 73H 736 SK,4319,OSL,644,CDG,1382,,0,738 73W 736 73H 73G SK,4319,OSL,644,CHQ,1474,,0,738 SK,4319,OSL,644,CPH,609,,0,73H 73G 321 320 738 319 73W 736 SK,4319,OSL,644,DUB,599,,0,73G 738 73W SK,4319,OSL,644,DUS,345,,0,73G 73W 738 736 SK,4319,OSL,644,EDI,535,,0,73W SK,4319,OSL,644,EVE,641,,0,73G 738 73W 736 73H SK,4319,OSL,644,EWR,3494,,0,333 SK,4319,OSL,644,FCO,1555,,0,738 73W SK,4319,OSL,644,FRA,340,,0,738 73W 73H 73G 736 SK,4319,OSL,644,GDN,668,,0,738 73G 73W SK,4319,OSL,644,GOT,687,Y,0,DH3 SK,4319,OSL,644,GZP,8266,,0,73W SK,4319,OSL,644,HAU,645,,0,73G 736 73H 738 73W SK,4319,OSL,644,HEL,421,Y,0,717 SK,4319,OSL,644,IST,1701,,0,321 738 SK,4319,OSL,644,KEF,16,,0,738 73W SK,4319,OSL,644,KKN,649,,0,73W 73G 736 SK,4319,OSL,644,KRS,638,,0,738 73W 73G 736 73H SK,4319,OSL,644,KSU,647,,0,738 73W 736 73H 73G SK,4319,OSL,644,LHR,507,,0,73G 738 73H 736 73W SK,4319,OSL,644,LPA,1054,,0,738 SK,4319,OSL,644,LYR,658,,0,738 73W SK,4319,OSL,644,MAN,478,,0,738 736 SK,4319,OSL,644,MOL,651,,0,73H 736 73G 73W SK,4319,OSL,644,MUC,346,,0,73H 73G 73W SK,4319,OSL,644,MXP,1524,,0,738 73G 73H SK,4319,OSL,644,NCE,1354,,0,738 73H 73G SK,4319,OSL,644,PMI,3998,,0,738 SK,4319,OSL,644,PRG,1587,,0,73H 738 SK,4319,OSL,644,RIX,3953,Y,0,DH4 73C 735 SK,4319,OSL,644,SVG,666,,0,736 73W 73G 738 73H SK,4319,OSL,644,SVO,2985,Y,0,320 SK,4319,OSL,644,TLL,415,Y,0,E70 SK,4319,OSL,644,TOS,663,,0,73G 73H 736 73W 738 SK,4319,OSL,644,TRD,665,,0,738 736 73H 73G 73W SK,4319,OSL,644,TXL,351,,0,738 73W 73G SK,4319,OSL,644,ZRH,1678,,0,73G 738 736 SK,4319,OTP,1657,CPH,609,,0,320 CR9 SK,4319,OUL,446,ARN,737,Y,0,S20 SK,4319,PEK,3364,ARN,737,Y,0,333 SK,4319,PEK,3364,CPH,609,,0,343 SK,4319,PLQ,3958,CPH,609,,0,CR9 CR2 SK,4319,PMI,3998,ARN,737,,0,73H SK,4319,PMI,3998,CPH,609,,0,320 321 SK,4319,PMI,3998,GOT,687,,0,320 SK,4319,PMI,3998,OSL,644,,0,738 SK,4319,POZ,674,CPH,609,,0,CR2 SK,4319,PRG,1587,ARN,737,,0,73H 717 SK,4319,PRG,1587,CPH,609,,0,320 CR9 SK,4319,PRG,1587,OSL,644,,0,73H 738 SK,4319,PRN,1742,CPH,609,,0,320 CR9 SK,4319,PUY,1203,ARN,737,,0,717 SK,4319,PVG,3406,CPH,609,,0,343 SK,4319,RIX,3953,ARN,737,Y,0,DH4 735 73C 733 SK,4319,RIX,3953,CPH,609,Y,0,DH4 73C 733 SK,4319,RIX,3953,OSL,644,Y,0,DH4 73C 735 SK,4319,RNB,685,ARN,737,,0,73H S20 736 717 73W AT7 SK,4319,SDL,721,ARN,737,,0,73W 736 AT7 S20 73H 717 SK,4319,SFO,3469,CPH,609,,0,343 SK,4319,SFT,726,ARN,737,,0,736 73H 73W 73G 717 SK,4319,SIN,3316,CPH,609,Y,0,772 SK,4319,SKG,1486,ARN,737,,0,736 SK,4319,SKG,1486,CPH,609,,0,320 SK,4319,SPU,1206,ARN,737,,0,73H SK,4319,SPU,1206,CPH,609,,0,320 SK,4319,SPU,1206,GOT,687,,0,73H SK,4319,STR,350,CPH,609,,0,CR9 CR2 SK,4319,SVG,666,ABZ,532,,0,736 73G SK,4319,SVG,666,ALC,1212,,0,73H SK,4319,SVG,666,ARN,737,Y,0,S20 736 SK,4319,SVG,666,BGO,636,,0,736 73W SK,4319,SVG,666,CPH,609,,0,321 320 CR9 319 736 738 73G SK,4319,SVG,666,EDI,535,,0,738 73W SK,4319,SVG,666,FRA,340,Y,0,733 735 319 SK,4319,SVG,666,LHR,507,,0,73W 73G 736 738 73H SK,4319,SVG,666,NCL,521,Y,0,DH4 SK,4319,SVG,666,OSL,644,,0,738 736 73W 73G 73H SK,4319,SVG,666,TOS,663,,0,736 73H SK,4319,SVG,666,TRD,665,,0,73W 736 738 SK,4319,SVO,2985,ARN,737,,0,73H 736 73W SK,4319,SVO,2985,CPH,609,,0,320 CR9 SK,4319,SVO,2985,OSL,644,Y,0,320 SK,4319,TKU,460,ARN,737,Y,0,AT7 S20 SK,4319,TKU,460,CPH,609,,0,CR9 CR2 SK,4319,TLL,415,ARN,737,Y,0,E70 CR9 SK,4319,TLL,415,CPH,609,Y,0,CR9 E70 SK,4319,TLL,415,OSL,644,Y,0,E70 SK,4319,TLL,415,TRD,665,Y,0,CR9 E70 SK,4319,TLV,1590,CPH,609,,0,321 320 SK,4319,TMP,458,ARN,737,Y,0,S20 SK,4319,TOS,663,ALF,632,,0,73G 73W 736 SK,4319,TOS,663,ARN,737,,0,717 SK,4319,TOS,663,BOO,635,,0,736 SK,4319,TOS,663,LYR,658,,0,73H 738 73W SK,4319,TOS,663,OSL,644,,0,73H 738 73G 736 73W SK,4319,TOS,663,SVG,666,,0,73H 736 738 SK,4319,TRD,665,AES,630,,0,736 SK,4319,TRD,665,ALC,1212,,0,738 SK,4319,TRD,665,ARN,737,,0,717 73W SK,4319,TRD,665,BGO,636,,0,736 SK,4319,TRD,665,BOO,635,,0,736 73W SK,4319,TRD,665,CPH,609,,0,CR9 SK,4319,TRD,665,OSL,644,,0,73W 738 736 73G 73H SK,4319,TRD,665,SVG,666,,0,736 SK,4319,TRD,665,TLL,415,Y,0,CR9 E70 SK,4319,TRD,665,TRF,664,Y,0,DH4 SK,4319,TRF,664,CPH,609,Y,0,DH4 SK,4319,TRF,664,SVG,666,Y,0,DH4 SK,4319,TXL,351,ARN,737,,0,73H 717 73W 736 SK,4319,TXL,351,CPH,609,,0,320 CR2 321 319 CR9 SK,4319,TXL,351,OSL,644,,0,738 73W 73G SK,4319,UME,728,ARN,737,,0,73W 73H 736 73G SK,4319,VAA,462,ARN,737,Y,0,AT7 S20 SK,4319,VBY,746,ARN,737,,0,AT7 SK,4319,VCE,1551,CPH,609,,0,320 319 SK,4319,VHM,729,ARN,737,Y,0,SF3 SK,4319,VHM,729,HMV,5599,Y,0,SF3 SK,4319,VNO,3959,ARN,737,,0,S20 SK,4319,VNO,3959,CPH,609,,0,CR9 SK,4319,VXO,711,ARN,737,Y,0,SF3 SK,4319,WAW,679,CPH,609,,0,CR9 319 SK,4319,WRO,680,CPH,609,,0,CR2 SK,4319,YYZ,193,CPH,609,Y,0,763 SK,4319,ZAG,1208,CPH,609,Y,0,319 DH4 SK,4319,ZRH,1678,ARN,737,,0,717 73G 736 73W 73H SK,4319,ZRH,1678,CPH,609,,0,321 320 319 CR9 SK,4319,ZRH,1678,OSL,644,,0,73G 738 736 SN,1531,ABJ,253,BRU,302,,0,332 333 SN,1531,ABJ,253,LFW,298,,0,333 SN,1531,ABJ,253,OUA,246,,0,333 SN,1531,AGA,1064,BRU,302,,0,319 SN,1531,AGP,1230,BRU,302,,0,320 319 SN,1531,ALC,1212,BRU,302,,0,319 SN,1531,ATH,3941,BRU,302,,0,319 SN,1531,AUH,2179,BRU,302,Y,0,332 SN,1531,BCN,1218,BRU,302,,0,320 319 SN,1531,BHX,469,BRU,302,,0,DH4 AR1 SN,1531,BIA,1321,BRU,302,,0,319 SN,1531,BIO,1216,BRU,302,,0,319 SN,1531,BJL,1050,DKR,1084,,0,333 SN,1531,BJM,1120,NBO,4059,,0,332 SN,1531,BKK,3885,BRU,302,Y,0,773 SN,1531,BLQ,1538,BRU,302,,0,AR1 319 SN,1531,BMA,738,BRU,302,,0,AR1 SN,1531,BOM,2997,BRU,302,Y,0,332 333 SN,1531,BRS,490,BRU,302,Y,0,ER4 SN,1531,BRU,302,ABJ,253,,0,333 332 SN,1531,BRU,302,AGA,1064,,0,319 SN,1531,BRU,302,AGP,1230,,0,320 319 SN,1531,BRU,302,ALC,1212,,0,319 SN,1531,BRU,302,ATH,3941,,0,319 SN,1531,BRU,302,AUH,2179,Y,0,332 SN,1531,BRU,302,BCN,1218,,0,320 319 SN,1531,BRU,302,BHX,469,,0,AR1 DH4 SN,1531,BRU,302,BIA,1321,,0,319 SN,1531,BRU,302,BIO,1216,,0,319 SN,1531,BRU,302,BJM,1120,,0,332 SN,1531,BRU,302,BKK,3885,Y,0,773 SN,1531,BRU,302,BLQ,1538,,0,AR1 319 SN,1531,BRU,302,BMA,738,,0,AR1 SN,1531,BRU,302,BOM,2997,Y,0,333 332 SN,1531,BRU,302,BRS,490,Y,0,ER4 SN,1531,BRU,302,BSL,1423,,0,319 AR1 SN,1531,BRU,302,BUD,1489,,0,AR1 SN,1531,BRU,302,CAI,1128,Y,0,320 SN,1531,BRU,302,CDG,1382,,0,320 319 SN,1531,BRU,302,CMN,1074,Y,0,738 73G SN,1531,BRU,302,COO,245,,0,332 333 SN,1531,BRU,302,CPH,609,,0,319 AR1 SN,1531,BRU,302,CTA,1509,,0,319 SN,1531,BRU,302,DEL,3093,Y,0,333 SN,1531,BRU,302,DKR,1084,,0,333 SN,1531,BRU,302,DLA,897,,0,332 333 SN,1531,BRU,302,DME,4029,,0,320 319 SN,1531,BRU,302,EDI,535,,0,319 AR1 SN,1531,BRU,302,EWR,3494,Y,0,764 777 SN,1531,BRU,302,FAO,1626,,0,320 319 SN,1531,BRU,302,FCO,1555,,0,320 319 SN,1531,BRU,302,FIH,1020,,0,332 333 SN,1531,BRU,302,FLR,1563,,0,AR1 SN,1531,BRU,302,FNA,1059,,0,333 SN,1531,BRU,302,FRA,340,Y,0,321 735 E90 733 CR7 319 320 32A SN,1531,BRU,302,GOT,687,,0,AR1 319 DH4 SN,1531,BRU,302,GVA,1665,,0,320 319 AR1 SN,1531,BRU,302,HAJ,352,Y,0,DH4 SN,1531,BRU,302,HAM,342,,0,AR1 DH4 319 SN,1531,BRU,302,HER,1452,Y,0,320 SN,1531,BRU,302,IAD,3714,,0,332 SN,1531,BRU,302,JFK,3797,,0,333 SN,1531,BRU,302,KBP,2939,Y,0,E90 SN,1531,BRU,302,KGL,1165,,0,332 SN,1531,BRU,302,LAD,951,,0,333 SN,1531,BRU,302,LHR,507,,0,319 AR1 SN,1531,BRU,302,LIN,1529,,0,AR1 319 SN,1531,BRU,302,LIS,1638,,0,320 319 SN,1531,BRU,302,LJU,1569,Y,0,319 CR9 SN,1531,BRU,302,LYS,1335,,0,AR1 319 320 SN,1531,BRU,302,MAD,1229,,0,319 AR1 SN,1531,BRU,302,MAN,478,,0,319 AR1 DH4 SN,1531,BRU,302,MLA,1606,Y,0,320 319 SN,1531,BRU,302,MRS,1353,,0,AR1 SN,1531,BRU,302,MUC,346,Y,0,E95 319 CR9 320 SN,1531,BRU,302,MXP,1524,,0,319 AR1 SN,1531,BRU,302,NAP,1561,,0,320 319 SN,1531,BRU,302,NCE,1354,,0,319 320 SN,1531,BRU,302,NCL,521,,0,ER4 SN,1531,BRU,302,NSI,4161,,0,332 SN,1531,BRU,302,OPO,1636,,0,319 SN,1531,BRU,302,ORD,3830,Y,0,777 SN,1531,BRU,302,OSL,644,,0,AR1 319 SN,1531,BRU,302,OTP,1657,Y,0,73W 733 73H 318 SN,1531,BRU,302,OUA,246,,0,333 332 SN,1531,BRU,302,PEK,3364,Y,0,330 SN,1531,BRU,302,PMO,1512,,0,320 319 SN,1531,BRU,302,PRG,1587,,0,319 DH4 SN,1531,BRU,302,RAK,1075,,0,319 SN,1531,BRU,302,RIX,3953,Y,0,735 DH4 SN,1531,BRU,302,SVQ,1253,,0,319 SN,1531,BRU,302,SXB,1435,,0,DH4 SN,1531,BRU,302,TLL,415,Y,0,CR9 SN,1531,BRU,302,TLS,1273,,0,AR1 SN,1531,BRU,302,TLV,1590,,0,319 320 SN,1531,BRU,302,TRN,1526,,0,DH4 SN,1531,BRU,302,TXL,351,,0,319 AR1 320 SN,1531,BRU,302,VCE,1551,,0,319 AR1 SN,1531,BRU,302,VIE,1613,,0,319 F70 320 SN,1531,BRU,302,VNO,3959,,0,AR1 319 SN,1531,BRU,302,YUL,146,Y,0,333 SN,1531,BRU,302,ZAG,1208,Y,0,DH4 SN,1531,BRU,302,ZRH,1678,Y,0,AR1 320 SN,1531,BSL,1423,BRU,302,,0,319 AR1 SN,1531,BUD,1489,BRU,302,,0,AR1 SN,1531,CAI,1128,BRU,302,Y,0,320 SN,1531,CDG,1382,BRU,302,,0,320 319 SN,1531,CKY,4162,DKR,1084,,0,333 SN,1531,CMN,1074,BRU,302,Y,0,738 73G SN,1531,COO,245,ABJ,253,,0,332 SN,1531,CPH,609,BRU,302,,0,319 AR1 SN,1531,CTA,1509,BRU,302,,0,319 SN,1531,DEL,3093,BRU,302,Y,0,333 SN,1531,DKR,1084,BJL,1050,,0,333 SN,1531,DKR,1084,BRU,302,,0,333 SN,1531,DKR,1084,CKY,4162,,0,333 SN,1531,DLA,897,BRU,302,,0,332 333 SN,1531,DLA,897,FIH,1020,,0,333 SN,1531,DLA,897,NSI,4161,,0,332 SN,1531,DME,4029,BRU,302,,0,320 319 SN,1531,EBB,1187,BRU,302,,0,332 SN,1531,EDI,535,BRU,302,,0,319 AR1 SN,1531,EWR,3494,BRU,302,Y,0,764 777 SN,1531,FAO,1626,BRU,302,,0,320 319 SN,1531,FCO,1555,BRU,302,,0,319 320 SN,1531,FIH,1020,BRU,302,,0,332 333 SN,1531,FIH,1020,DLA,897,,0,333 SN,1531,FLR,1563,BRU,302,,0,AR1 SN,1531,FNA,1059,ROB,1063,,0,333 SN,1531,FRA,340,BRU,302,Y,0,E90 735 733 CR7 319 321 320 32A SN,1531,FRA,340,LIN,1529,Y,0,320 319 SN,1531,FRA,340,LOS,273,Y,0,333 SN,1531,GOT,687,BRU,302,,0,AR1 319 DH4 SN,1531,GVA,1665,BRU,302,,0,319 320 AR1 SN,1531,HAJ,352,BRU,302,Y,0,DH4 SN,1531,HAM,342,BRU,302,,0,319 AR1 DH4 SN,1531,HER,1452,BRU,302,Y,0,320 SN,1531,IAD,3714,BRU,302,,0,332 SN,1531,JFK,3797,BRU,302,,0,333 SN,1531,KBP,2939,BRU,302,Y,0,E90 SN,1531,KGL,1165,EBB,1187,,0,332 SN,1531,KGL,1165,NBO,4059,,0,332 SN,1531,LAD,951,FIH,1020,,0,333 SN,1531,LFW,298,BRU,302,,0,333 332 SN,1531,LHR,507,BRU,302,,0,319 AR1 SN,1531,LIN,1529,BRU,302,,0,AR1 319 SN,1531,LIN,1529,FRA,340,Y,0,320 319 SN,1531,LIS,1638,BRU,302,,0,320 319 SN,1531,LJU,1569,BRU,302,Y,0,319 CR9 SN,1531,LOS,273,FRA,340,Y,0,333 SN,1531,LOS,273,PHC,275,Y,0,333 SN,1531,LYS,1335,BRU,302,,0,AR1 319 320 SN,1531,MAD,1229,BRU,302,,0,320 319 AR1 SN,1531,MAN,478,BRU,302,,0,319 AR1 DH4 SN,1531,MLA,1606,BRU,302,Y,0,320 319 SN,1531,MRS,1353,BRU,302,,0,AR1 SN,1531,MUC,346,BRU,302,Y,0,E95 319 CR9 320 SN,1531,MXP,1524,BRU,302,,0,319 AR1 SN,1531,NAP,1561,BRU,302,,0,320 319 SN,1531,NBO,4059,BRU,302,,0,332 SN,1531,NCE,1354,BRU,302,,0,319 320 SN,1531,NCL,521,BRU,302,,0,ER4 SN,1531,NSI,4161,BRU,302,,0,332 SN,1531,NSI,4161,DLA,897,,0,332 SN,1531,OPO,1636,BRU,302,,0,319 SN,1531,ORD,3830,BRU,302,Y,0,777 SN,1531,OSL,644,BRU,302,,0,AR1 319 SN,1531,OTP,1657,BRU,302,Y,0,73W 733 73H 318 SN,1531,OUA,246,ABJ,253,,0,333 SN,1531,OUA,246,BRU,302,,0,333 332 SN,1531,PEK,3364,BRU,302,Y,0,330 SN,1531,PHC,275,LOS,273,Y,0,333 SN,1531,PMO,1512,BRU,302,,0,320 319 SN,1531,PRG,1587,BRU,302,,0,319 DH4 SN,1531,RAK,1075,BRU,302,,0,319 SN,1531,RIX,3953,BRU,302,Y,0,735 DH4 SN,1531,ROB,1063,BRU,302,,0,333 SN,1531,SVQ,1253,BRU,302,,0,319 SN,1531,SXB,1435,BRU,302,,0,DH4 SN,1531,TLL,415,BRU,302,Y,0,CR9 SN,1531,TLS,1273,BRU,302,,0,AR1 SN,1531,TLV,1590,BRU,302,,0,320 319 SN,1531,TRN,1526,BRU,302,,0,DH4 SN,1531,TXL,351,BRU,302,,0,319 AR1 320 SN,1531,VCE,1551,BRU,302,,0,319 AR1 SN,1531,VIE,1613,BRU,302,,0,319 F70 320 SN,1531,VNO,3959,BRU,302,,0,AR1 319 SN,1531,YUL,146,BRU,302,Y,0,333 SN,1531,ZAG,1208,BRU,302,Y,0,DH4 SN,1531,ZRH,1678,BRU,302,Y,0,320 AR1 SP,4429,CVU,5793,FLW,1625,,0,DH2 SP,4429,CVU,5793,HOR,1628,,0,DH2 SP,4429,FLW,1625,CVU,5793,,0,DH2 SP,4429,FLW,1625,HOR,1628,,0,DH4 SP,4429,FLW,1625,PDL,1633,,0,DH4 SP,4429,FLW,1625,TER,1629,,0,DH4 SP,4429,GRW,1627,TER,1629,,0,DH4 DH2 SP,4429,HOR,1628,CVU,5793,,0,DH2 SP,4429,HOR,1628,FLW,1625,,0,DH4 SP,4429,HOR,1628,PDL,1633,,0,DH2 DH4 SP,4429,HOR,1628,TER,1629,,0,DH4 DH2 SP,4429,PDL,1633,FLW,1625,,0,DH4 SP,4429,PDL,1633,HOR,1628,,0,DH2 DH4 SP,4429,PDL,1633,PIX,1634,,0,DH4 SP,4429,PDL,1633,SJZ,1639,,0,DH4 DH2 SP,4429,PDL,1633,SMA,1617,,0,DH4 SP,4429,PDL,1633,TER,1629,,0,DH4 DH2 SP,4429,PIX,1634,PDL,1633,,0,DH4 SP,4429,PIX,1634,TER,1629,,0,DH4 SP,4429,SJZ,1639,PDL,1633,,0,DH4 DH2 SP,4429,SJZ,1639,TER,1629,,0,DH4 DH2 SP,4429,SMA,1617,PDL,1633,,0,DH4 SP,4429,TER,1629,FLW,1625,,0,DH4 SP,4429,TER,1629,GRW,1627,,0,DH4 DH2 SP,4429,TER,1629,HOR,1628,,0,DH4 DH2 SP,4429,TER,1629,PDL,1633,,0,DH4 DH2 SP,4429,TER,1629,PIX,1634,,0,DH4 SP,4429,TER,1629,SJZ,1639,,0,DH4 DH2 SQ,4435,ADD,1107,BKK,3885,,0,763 SQ,4435,ADL,3341,SIN,3316,,0,333 SQ,4435,AKL,2006,SIN,3316,,0,77W 772 SQ,4435,AMD,2994,SIN,3316,,0,333 SQ,4435,AMS,580,SIN,3316,,0,772 77W SQ,4435,BCN,1218,GRU,2564,,0,77W SQ,4435,BCN,1218,MXP,1524,,0,77W SQ,4435,BCN,1218,SIN,3316,,0,77W SQ,4435,BDO,3896,SIN,3316,Y,0,319 SQ,4435,BKI,3269,SIN,3316,Y,0,320 319 SQ,4435,BKK,3885,ADD,1107,,0,763 SQ,4435,BKK,3885,SIN,3316,,0,772 333 763 SQ,4435,BLR,3131,SIN,3316,,0,772 SQ,4435,BNE,3320,CHC,2009,Y,0,320 SQ,4435,BNE,3320,CNJ,6255,,0,E90 SQ,4435,BNE,3320,SIN,3316,,0,333 SQ,4435,BOM,2997,SIN,3316,,0,77W 772 SQ,4435,BPN,3919,SIN,3316,Y,0,319 320 SQ,4435,BWN,3272,SIN,3316,,0,773 320 SQ,4435,CAI,1128,DXB,2188,,0,333 SQ,4435,CAN,3370,SIN,3316,,0,333 SQ,4435,CCU,3043,SIN,3316,,0,333 SQ,4435,CDG,1382,SIN,3316,,0,388 SQ,4435,CEB,4206,DVO,4090,Y,0,320 SQ,4435,CEB,4206,SIN,3316,Y,0,320 738 SQ,4435,CGK,3275,SIN,3316,,0,772 773 SQ,4435,CHC,2009,SIN,3316,,0,772 SQ,4435,CJB,3135,SIN,3316,Y,0,320 SQ,4435,CKG,3393,SIN,3316,Y,0,320 319 SQ,4435,CMB,3024,SIN,3316,,0,333 SQ,4435,CNJ,6255,BNE,3320,,0,E90 SQ,4435,CNX,3931,SIN,3316,Y,0,320 SQ,4435,COK,3136,SIN,3316,Y,0,320 738 319 SQ,4435,CPH,609,SIN,3316,,0,772 SQ,4435,CPT,797,JNB,813,,0,772 SQ,4435,CSX,3371,SIN,3316,Y,0,320 SQ,4435,CTU,3395,SIN,3316,Y,0,320 319 SQ,4435,DAC,3076,SIN,3316,,0,333 SQ,4435,DAD,3196,REP,3035,Y,0,738 SQ,4435,DAD,3196,SIN,3316,Y,0,738 320 SQ,4435,DEL,3093,SIN,3316,,0,772 773 SQ,4435,DME,4029,IAH,3550,,0,77W SQ,4435,DME,4029,SIN,3316,,0,77W SQ,4435,DPS,3940,SIN,3316,,0,772 738 SQ,4435,DRW,3999,SIN,3316,Y,0,320 SQ,4435,DVO,4090,CEB,4206,Y,0,320 SQ,4435,DVO,4090,SIN,3316,Y,0,320 738 SQ,4435,DXB,2188,CAI,1128,,0,333 SQ,4435,DXB,2188,SIN,3316,,0,77W 333 SQ,4435,FCO,1555,SIN,3316,,0,772 SQ,4435,FRA,340,JFK,3797,,0,388 SQ,4435,FRA,340,LYS,1335,Y,0,32A 733 735 SQ,4435,FRA,340,SIN,3316,,0,388 77W SQ,4435,FUK,2305,SIN,3316,,0,333 SQ,4435,GRU,2564,BCN,1218,,0,77W SQ,4435,HAN,3199,SIN,3316,,0,333 SQ,4435,HKG,3077,SFO,3469,,0,77W SQ,4435,HKG,3077,SIN,3316,,0,77W 772 388 SQ,4435,HKT,3179,SIN,3316,Y,0,320 738 319 SQ,4435,HND,2359,SIN,3316,,0,333 773 SQ,4435,HYD,\N,SIN,3316,Y,0,320 738 SQ,4435,IAH,3550,DME,4029,,0,77W SQ,4435,ICN,3930,SFO,3469,,0,77W SQ,4435,ICN,3930,SIN,3316,,0,333 77W SQ,4435,IST,1701,SIN,3316,,0,772 SQ,4435,JED,2072,RUH,2082,,0,333 SQ,4435,JFK,3797,FRA,340,,0,388 SQ,4435,JNB,813,CPT,797,,0,772 SQ,4435,JNB,813,SIN,3316,,0,772 SQ,4435,JOG,3898,SIN,3316,Y,0,320 SQ,4435,KCH,3263,SIN,3316,Y,0,738 319 SQ,4435,KIX,3992,SIN,3316,,0,333 SQ,4435,KMG,3382,SIN,3316,Y,0,320 319 SQ,4435,KTM,3125,SIN,3316,Y,0,320 SQ,4435,KUL,3304,SIN,3316,,0,333 SQ,4435,LAX,3484,NRT,2279,,0,388 SQ,4435,LAX,3484,ORD,3830,Y,0,320 SQ,4435,LGK,3305,SIN,3316,Y,0,320 319 SQ,4435,LHR,507,SIN,3316,,0,388 77W SQ,4435,LOP,8401,SIN,3316,Y,0,319 320 SQ,4435,MAA,3144,SIN,3316,,0,333 SQ,4435,MAN,478,MUC,346,,0,77W SQ,4435,MDC,3250,SIN,3316,Y,0,320 SQ,4435,MEL,3339,CHC,2009,Y,0,320 SQ,4435,MEL,3339,SIN,3316,,0,77W 773 388 333 SQ,4435,MLE,3156,SIN,3316,,0,333 SQ,4435,MNL,2397,SIN,3316,,0,772 333 SQ,4435,MUC,346,MAN,478,,0,77W SQ,4435,MUC,346,SIN,3316,,0,77W SQ,4435,MXP,1524,BCN,1218,,0,77W SQ,4435,MXP,1524,SIN,3316,,0,77W SQ,4435,NGO,3942,SIN,3316,,0,333 SQ,4435,NRT,2279,LAX,3484,,0,388 SQ,4435,NRT,2279,SIN,3316,,0,77W 388 SQ,4435,PEK,3364,SIN,3316,,0,773 333 772 77W SQ,4435,PEN,3308,SIN,3316,Y,0,320 738 319 SQ,4435,PER,3351,SIN,3316,,0,333 772 SQ,4435,PKU,3273,SIN,3316,Y,0,319 SQ,4435,PLM,3289,SIN,3316,Y,0,319 SQ,4435,PNH,3034,SIN,3316,Y,0,320 SQ,4435,PVG,3406,SIN,3316,,0,388 772 77W SQ,4435,REP,3035,DAD,3196,Y,0,738 SQ,4435,REP,3035,PNH,3034,Y,0,320 SQ,4435,REP,3035,SIN,3316,Y,0,738 320 SQ,4435,RGN,3239,SIN,3316,,0,333 SQ,4435,RUH,2082,JED,2072,,0,333 SQ,4435,RUH,2082,SIN,3316,,0,333 SQ,4435,SFO,3469,HKG,3077,,0,77W SQ,4435,SFO,3469,ICN,3930,,0,77W SQ,4435,SGN,3205,SIN,3316,,0,772 333 SQ,4435,SIN,3316,ADL,3341,,0,333 SQ,4435,SIN,3316,AKL,2006,,0,772 77W SQ,4435,SIN,3316,AMD,2994,,0,333 SQ,4435,SIN,3316,AMS,580,,0,77W 772 SQ,4435,SIN,3316,BCN,1218,,0,77W SQ,4435,SIN,3316,BDO,3896,Y,0,319 SQ,4435,SIN,3316,BKI,3269,Y,0,320 319 SQ,4435,SIN,3316,BKK,3885,,0,772 333 763 SQ,4435,SIN,3316,BLR,3131,,0,772 SQ,4435,SIN,3316,BNE,3320,,0,333 SQ,4435,SIN,3316,BOM,2997,,0,772 77W SQ,4435,SIN,3316,BPN,3919,Y,0,319 320 SQ,4435,SIN,3316,BWN,3272,,0,773 320 SQ,4435,SIN,3316,CAN,3370,,0,333 SQ,4435,SIN,3316,CCU,3043,,0,333 SQ,4435,SIN,3316,CDG,1382,,0,388 SQ,4435,SIN,3316,CEB,4206,Y,0,320 738 SQ,4435,SIN,3316,CGK,3275,,0,773 772 SQ,4435,SIN,3316,CHC,2009,,0,772 SQ,4435,SIN,3316,CJB,3135,Y,0,320 SQ,4435,SIN,3316,CKG,3393,Y,0,320 319 SQ,4435,SIN,3316,CMB,3024,,0,333 SQ,4435,SIN,3316,CNX,3931,Y,0,320 SQ,4435,SIN,3316,COK,3136,Y,0,320 738 319 SQ,4435,SIN,3316,CPH,609,,0,772 SQ,4435,SIN,3316,CSX,3371,Y,0,320 SQ,4435,SIN,3316,CTU,3395,Y,0,320 319 SQ,4435,SIN,3316,DAC,3076,,0,333 SQ,4435,SIN,3316,DAD,3196,Y,0,738 319 320 SQ,4435,SIN,3316,DEL,3093,,0,772 773 SQ,4435,SIN,3316,DME,4029,,0,77W SQ,4435,SIN,3316,DPS,3940,,0,772 738 SQ,4435,SIN,3316,DRW,3999,Y,0,320 SQ,4435,SIN,3316,DVO,4090,Y,0,320 738 SQ,4435,SIN,3316,DXB,2188,,0,77W 333 SQ,4435,SIN,3316,FCO,1555,,0,772 SQ,4435,SIN,3316,FRA,340,,0,77W 388 SQ,4435,SIN,3316,FUK,2305,,0,333 SQ,4435,SIN,3316,HAN,3199,,0,333 SQ,4435,SIN,3316,HKG,3077,,0,772 388 77W SQ,4435,SIN,3316,HKT,3179,Y,0,320 738 319 SQ,4435,SIN,3316,HND,2359,,0,333 773 SQ,4435,SIN,3316,HYD,\N,Y,0,738 320 SQ,4435,SIN,3316,ICN,3930,,0,333 77W SQ,4435,SIN,3316,IST,1701,,0,772 SQ,4435,SIN,3316,JNB,813,,0,772 SQ,4435,SIN,3316,JOG,3898,Y,0,320 SQ,4435,SIN,3316,KCH,3263,Y,0,738 319 SQ,4435,SIN,3316,KIX,3992,,0,333 SQ,4435,SIN,3316,KMG,3382,Y,0,320 319 SQ,4435,SIN,3316,KTM,3125,Y,0,320 SQ,4435,SIN,3316,KUL,3304,,0,333 SQ,4435,SIN,3316,LGK,3305,Y,0,320 319 SQ,4435,SIN,3316,LHR,507,,0,77W 388 SQ,4435,SIN,3316,LOP,8401,Y,0,319 320 SQ,4435,SIN,3316,MAA,3144,,0,333 SQ,4435,SIN,3316,MDC,3250,Y,0,320 SQ,4435,SIN,3316,MEL,3339,,0,333 77W 388 773 SQ,4435,SIN,3316,MLE,3156,,0,333 SQ,4435,SIN,3316,MNL,2397,,0,772 333 SQ,4435,SIN,3316,MUC,346,,0,77W SQ,4435,SIN,3316,MXP,1524,,0,77W SQ,4435,SIN,3316,NGO,3942,,0,333 SQ,4435,SIN,3316,NRT,2279,,0,388 77W SQ,4435,SIN,3316,PEK,3364,,0,772 77W 773 333 SQ,4435,SIN,3316,PEN,3308,Y,0,320 738 319 SQ,4435,SIN,3316,PER,3351,,0,333 772 SQ,4435,SIN,3316,PKU,3273,Y,0,319 SQ,4435,SIN,3316,PLM,3289,Y,0,319 SQ,4435,SIN,3316,PNH,3034,Y,0,320 SQ,4435,SIN,3316,PVG,3406,,0,772 77W 388 SQ,4435,SIN,3316,REP,3035,Y,0,738 320 SQ,4435,SIN,3316,RGN,3239,,0,333 SQ,4435,SIN,3316,RUH,2082,,0,333 SQ,4435,SIN,3316,SGN,3205,,0,772 333 SQ,4435,SIN,3316,SOC,3929,Y,0,320 319 SQ,4435,SIN,3316,SRG,3901,Y,0,319 SQ,4435,SIN,3316,SUB,3928,,0,333 SQ,4435,SIN,3316,SYD,3361,,0,388 772 773 SQ,4435,SIN,3316,SZX,3374,,0,738 SQ,4435,SIN,3316,TPE,2276,,0,333 77W SQ,4435,SIN,3316,TRV,3153,Y,0,319 320 SQ,4435,SIN,3316,UPG,3240,Y,0,319 320 SQ,4435,SIN,3316,USM,3177,Y,0,319 SQ,4435,SIN,3316,VTZ,3066,Y,0,319 SQ,4435,SIN,3316,WUH,3376,Y,0,319 320 SQ,4435,SIN,3316,XMN,3383,Y,0,320 SQ,4435,SIN,3316,ZRH,1678,,0,388 SQ,4435,SJC,3748,LAX,3484,Y,0,320 SQ,4435,SOC,3929,SIN,3316,Y,0,320 319 SQ,4435,SRG,3901,SIN,3316,Y,0,319 SQ,4435,SUB,3928,SIN,3316,,0,333 SQ,4435,SYD,3361,SIN,3316,,0,773 388 772 SQ,4435,SZX,3374,SIN,3316,,0,738 SQ,4435,TPE,2276,SIN,3316,,0,77W 333 SQ,4435,TRV,3153,SIN,3316,Y,0,319 320 SQ,4435,UPG,3240,SIN,3316,Y,0,319 320 SQ,4435,USM,3177,SIN,3316,Y,0,319 SQ,4435,VTZ,3066,SIN,3316,Y,0,319 SQ,4435,WUH,3376,SIN,3316,Y,0,319 320 SQ,4435,XMN,3383,SIN,3316,Y,0,320 SQ,4435,ZRH,1678,SIN,3316,,0,388 SS,1908,ABJ,253,ORY,1386,,0,333 SS,1908,CAY,2774,ORY,1386,Y,0,333 SS,1908,DKR,1084,ORY,1386,,0,333 330 SS,1908,DZA,915,TNR,918,,0,330 SS,1908,FDF,2878,ORY,1386,,0,744 333 SS,1908,FDF,2878,PTP,2881,Y,0,ATR SS,1908,FDF,2878,SLU,2893,Y,0,ATR SS,1908,MRU,893,ORY,1386,,0,744 SS,1908,MRU,893,RUN,916,,0,744 SS,1908,ORY,1386,ABJ,253,,0,333 SS,1908,ORY,1386,CAY,2774,Y,0,333 SS,1908,ORY,1386,DKR,1084,,0,333 330 SS,1908,ORY,1386,DZA,915,,0,330 333 SS,1908,ORY,1386,FDF,2878,,0,744 333 SS,1908,ORY,1386,PTP,2881,,0,333 744 SS,1908,ORY,1386,RUN,916,,0,744 SS,1908,ORY,1386,SXM,2899,Y,0,332 SS,1908,ORY,1386,YUL,146,,0,333 SS,1908,PTP,2881,FDF,2878,,0,ATR SS,1908,PTP,2881,ORY,1386,,0,333 744 SS,1908,PTP,2881,SBH,6460,Y,0,ATR SS,1908,PTP,2881,SFG,2879,Y,0,ATR SS,1908,RUN,916,MRU,893,,0,744 SS,1908,RUN,916,ORY,1386,,0,744 SS,1908,SBH,6460,PTP,2881,Y,0,ATR SS,1908,SFG,2879,PTP,2881,Y,0,ATR SS,1908,SLU,2893,FDF,2878,Y,0,ATR SS,1908,SXM,2899,ORY,1386,Y,0,332 SS,1908,TNR,918,ORY,1386,,0,330 SS,1908,YUL,146,ORY,1386,,0,333 ST,2547,ACE,1055,BRE,353,,0,319 ST,2547,AGB,374,MRS,1353,,0,FRJ ST,2547,ARN,737,EBL,3989,,0,73G ST,2547,ARN,737,ISU,5952,,0,73G ST,2547,AYT,1688,BRE,353,,0,319 321 ST,2547,AYT,1688,DRS,338,,0,321 ST,2547,AYT,1688,ERF,339,,0,73G ST,2547,AYT,1688,FDH,382,,0,73G ST,2547,AYT,1688,FRA,340,,0,321 ST,2547,AYT,1688,KSF,400,,0,319 ST,2547,AYT,1688,LEJ,348,,0,321 ST,2547,AYT,1688,RLG,772,,0,73G ST,2547,AYT,1688,SXF,337,,0,73G ST,2547,AYT,1688,TXL,351,,0,321 ST,2547,BEY,2177,SXF,337,,0,73G ST,2547,BRE,353,ACE,1055,,0,319 ST,2547,BRE,353,AYT,1688,,0,319 321 ST,2547,BRE,353,FNC,4091,,0,319 ST,2547,BRE,353,FUE,1051,,0,321 ST,2547,BRE,353,IBZ,1225,,0,319 ST,2547,BRE,353,LEJ,348,,0,319 ST,2547,BRE,353,LPA,1054,,0,319 ST,2547,BRE,353,NBE,7447,,0,319 ST,2547,BRE,353,PMI,3998,,0,321 ST,2547,BRE,353,TFS,1056,,0,319 ST,2547,BRE,353,VIE,1613,,0,319 ST,2547,BRS,490,CEG,519,,0,ER4 ST,2547,BRS,490,TLS,1273,,0,ER4 ST,2547,CEG,519,BRS,490,,0,ER4 ST,2547,CEG,519,TLS,1273,,0,ER4 ST,2547,DME,4029,FKB,4166,,0,73G ST,2547,DME,4029,LEJ,348,,0,319 ST,2547,DRS,338,AYT,1688,,0,321 ST,2547,DTM,373,ONQ,7821,,0,73G ST,2547,DUS,345,EBL,3989,,0,73G ST,2547,DUS,345,HER,1452,,0,73G ST,2547,DUS,345,ISU,5952,,0,73G ST,2547,DUS,345,ONQ,7821,,0,73G ST,2547,DUS,345,RHO,1472,,0,321 ST,2547,EBL,3989,ARN,737,,0,73G ST,2547,EBL,3989,DUS,345,,0,73G ST,2547,EBL,3989,MUC,346,,0,73G ST,2547,ERF,339,AYT,1688,,0,73G ST,2547,ERF,339,FUE,1051,,0,73G ST,2547,ERF,339,LGW,502,,0,319 ST,2547,ERF,339,LPA,1054,,0,73G ST,2547,ERF,339,PMI,3998,,0,73G ST,2547,ERF,339,TFS,1056,,0,73G ST,2547,FDH,382,AYT,1688,,0,73G ST,2547,FDH,382,PMI,3998,,0,73G ST,2547,FKB,4166,DME,4029,,0,73G ST,2547,FNC,4091,BRE,353,,0,319 ST,2547,FRA,340,AYT,1688,,0,321 ST,2547,FUE,1051,BRE,353,,0,321 ST,2547,FUE,1051,ERF,339,,0,73G ST,2547,HER,1452,DUS,345,,0,73G ST,2547,IBZ,1225,BRE,353,,0,319 ST,2547,ISU,5952,ARN,737,,0,73G ST,2547,ISU,5952,DUS,345,,0,73G ST,2547,ISU,5952,MUC,346,,0,73G ST,2547,KSF,400,AYT,1688,,0,319 ST,2547,KSF,400,PMI,3998,,0,321 ST,2547,LEJ,348,AYT,1688,,0,321 ST,2547,LEJ,348,BRE,353,,0,319 ST,2547,LEJ,348,DME,4029,,0,319 ST,2547,LGW,502,ERF,339,,0,319 ST,2547,LGW,502,PRN,1742,,0,73G ST,2547,LPA,1054,BRE,353,,0,319 ST,2547,LPA,1054,ERF,339,,0,73G ST,2547,MRS,1353,AGB,374,,0,FRJ ST,2547,MUC,346,EBL,3989,,0,73G ST,2547,MUC,346,ISU,5952,,0,73G ST,2547,NBE,7447,BRE,353,,0,319 ST,2547,ONQ,7821,DTM,373,,0,73G ST,2547,ONQ,7821,DUS,345,,0,73G ST,2547,PMI,3998,BRE,353,,0,321 ST,2547,PMI,3998,ERF,339,,0,73G ST,2547,PMI,3998,FDH,382,,0,73G ST,2547,PMI,3998,KSF,400,,0,321 ST,2547,PMI,3998,RLG,772,,0,73G ST,2547,PRN,1742,LGW,502,,0,73G ST,2547,RHO,1472,DUS,345,,0,321 ST,2547,RLG,772,AYT,1688,,0,73G ST,2547,RLG,772,PMI,3998,,0,73G ST,2547,SKP,1737,SXF,337,,0,73G ST,2547,SXF,337,AYT,1688,,0,73G ST,2547,SXF,337,BEY,2177,,0,73G ST,2547,SXF,337,SKP,1737,,0,73G ST,2547,TFS,1056,BRE,353,,0,319 ST,2547,TFS,1056,ERF,339,,0,73G ST,2547,TLS,1273,BRS,490,,0,ER4 ST,2547,TLS,1273,CEG,519,,0,ER4 ST,2547,TLS,1273,XFW,362,,0,319 ST,2547,TXL,351,AYT,1688,,0,321 ST,2547,VIE,1613,BRE,353,,0,319 ST,2547,XFW,362,TLS,1273,,0,319 SU,130,AAQ,4353,LED,2948,,0,320 319 SU,130,AAQ,4353,SVO,2985,,0,320 319 SU,130,ABA,2955,SVO,2985,,0,320 SU,130,AER,2965,EVN,3964,,0,319 SU,130,AER,2965,IST,1701,,0,319 SU,130,AER,2965,KRR,2960,,0,319 SU,130,AER,2965,LED,2948,,0,319 320 SU,130,AER,2965,OMS,2958,,0,319 SU,130,AER,2965,SVO,2985,,0,321 738 320 SU,130,AER,2965,SVX,2975,,0,319 SU,130,AER,2965,TAS,2983,,0,319 SU,130,AGP,1230,SVO,2985,,0,320 SU,130,ALA,2908,LED,2948,,0,320 319 SU,130,ALG,210,CDG,1382,Y,0,319 SU,130,AMS,580,LED,2948,Y,0,737 SU,130,AMS,580,SVO,2985,,0,321 320 SU,130,ARH,4362,LED,2948,,0,A81 319 SU,130,ARH,4362,SVO,2985,Y,0,735 SU,130,ARN,737,LED,2948,,0,319 SU,130,ARN,737,SVO,2985,,0,320 SU,130,ASF,2966,SVO,2985,,0,320 319 SU,130,ATH,3941,SVO,2985,,0,320 321 SU,130,ATL,3682,JFK,3797,Y,0,319 752 738 M88 73H SU,130,AYT,1688,LED,2948,,0,763 SU,130,AYT,1688,ROV,2964,,0,319 SU,130,AYT,1688,SVO,2985,,0,321 320 SU,130,BAX,2956,SVO,2985,,0,321 320 SU,130,BCN,1218,LED,2948,,0,763 320 SU,130,BCN,1218,SVO,2985,,0,321 SU,130,BEG,1739,SVO,2985,,0,320 321 733 738 319 SU,130,BEY,2177,SVO,2985,,0,320 319 SU,130,BHK,2980,LED,2948,,0,320 SU,130,BKK,3885,SVO,2985,,0,333 SU,130,BLQ,1538,SVO,2985,,0,320 SU,130,BOJ,1191,LED,2948,,0,320 SU,130,BRU,302,SVO,2985,,0,320 319 SU,130,BUD,1489,SVO,2985,,0,320 SU,130,CAI,1128,SVO,2985,,0,320 SU,130,CAN,3370,SVO,2985,,0,333 332 SU,130,CAN,3370,URC,3399,Y,0,737 SU,130,CDG,1382,ALG,210,Y,0,319 SU,130,CDG,1382,CMN,1074,Y,0,320 319 SU,130,CDG,1382,LED,2948,,0,320 SU,130,CDG,1382,LYS,1335,Y,0,320 319 SU,130,CDG,1382,SVO,2985,,0,320 321 SU,130,CDG,1382,TLS,1273,Y,0,319 320 SU,130,CEK,2968,LED,2948,,0,319 SU,130,CEK,2968,SVO,2985,,0,320 SU,130,CMN,1074,CDG,1382,Y,0,320 319 SU,130,CMN,1074,SVO,2985,,0,738 SU,130,CPH,609,SVO,2985,,0,320 SU,130,DEL,3093,SVO,2985,,0,332 333 SU,130,DME,4029,LED,2948,,0,319 320 SU,130,DME,4029,NCE,1354,,0,320 SU,130,DNK,2941,SVO,2985,,0,SU9 SU,130,DOK,2940,SVO,2985,,0,320 SU9 319 SU,130,DRS,338,SVO,2985,,0,SU9 SU,130,DUS,345,LED,2948,,0,319 SU,130,DUS,345,SVO,2985,,0,320 319 SU,130,DXB,2188,SVO,2985,,0,320 SU,130,DYU,2979,LED,2948,,0,320 SU,130,EVN,3964,AER,2965,,0,319 SU,130,EVN,3964,KRR,2960,,0,319 SU,130,EVN,3964,LED,2948,,0,319 320 SU,130,EVN,3964,MRV,2962,,0,319 SU,130,EVN,3964,ROV,2964,,0,319 SU,130,EVN,3964,SVO,2985,,0,321 738 320 SU,130,FCO,1555,LED,2948,,0,320 SU,130,FCO,1555,SVO,2985,,0,321 320 SU,130,FRA,340,LED,2948,,0,319 SU,130,FRA,340,SVO,2985,,0,320 319 SU,130,FRU,2912,LED,2948,,0,320 SU,130,FRU,2912,SVO,2985,,0,321 319 SU,130,GDX,2930,KHV,2927,,0,319 SU,130,GDZ,6933,SVO,2985,,0,320 319 SU,130,GOJ,4274,SVO,2985,,0,320 SU9 SU,130,GVA,1665,SVO,2985,,0,320 319 SU,130,GYD,2922,LED,2948,,0,319 SU,130,GYD,2922,SVO,2985,,0,320 SU,130,HAJ,352,SVO,2985,,0,320 SU,130,HAM,342,LED,2948,,0,319 SU,130,HAM,342,SVO,2985,,0,738 321 SU,130,HAN,3199,SVO,2985,,0,333 SU,130,HAV,1909,SVO,2985,,0,332 SU,130,HEL,421,SVO,2985,,0,319 SU,130,HER,1452,LED,2948,,0,320 SU,130,HER,1452,SVO,2985,,0,321 SU,130,HKG,3077,SVO,2985,,0,77W SU,130,HRB,3400,KHV,2927,,0,319 SU,130,HRB,3400,UUS,2933,,0,737 SU,130,HRK,6105,SVO,2985,,0,SU9 319 SU,130,HTA,2935,SVO,2985,,0,738 SU,130,IAD,3714,SVO,2985,,0,763 SU,130,ICN,3930,KHV,2927,,0,319 SU,130,ICN,3930,SVO,2985,,0,333 SU,130,ICN,3930,UUS,2933,,0,737 SU,130,ICN,3930,VVO,2934,,0,319 737 SU,130,IKA,4330,SVO,2985,,0,320 SU,130,IKT,2937,KHV,2927,,0,319 SU,130,IKT,2937,SVO,2985,,0,320 SU,130,IST,1701,AER,2965,,0,319 SU,130,IST,1701,LED,2948,,0,319 SU,130,IST,1701,ROV,2964,,0,319 SU,130,IST,1701,SVO,2985,,0,320 SU,130,JFK,3797,ATL,3682,Y,0,752 319 738 757 M88 SU,130,JFK,3797,SVO,2985,,0,333 77W SU,130,KBP,2939,LED,2948,,0,A81 SU,130,KBP,2939,SVO,2985,,0,321 320 SU,130,KEJ,2957,SVO,2985,,0,321 SU,130,KGD,2952,LED,2948,,0,319 320 SU,130,KGD,2952,SVO,2985,,0,320 SU,130,KGF,4375,LED,2948,,0,320 SU,130,KGF,4375,SVO,2985,,0,320 SU,130,KHV,2927,GDX,2930,,0,319 SU,130,KHV,2927,HRB,3400,,0,319 SU,130,KHV,2927,ICN,3930,,0,319 SU,130,KHV,2927,IKT,2937,,0,319 SU,130,KHV,2927,KJA,4374,,0,319 SU,130,KHV,2927,OVB,4078,,0,319 SU,130,KHV,2927,PEK,3364,,0,737 319 SU,130,KHV,2927,PKC,2932,,0,737 319 SU,130,KHV,2927,SVO,2985,,0,332 333 SU,130,KHV,2927,UUS,2933,,0,319 737 SU,130,KHV,2927,VVO,2934,,0,319 737 SU,130,KJA,4374,KHV,2927,,0,319 SU,130,KJA,4374,LED,2948,,0,320 SU,130,KJA,4374,SVO,2985,,0,321 77W SU,130,KLV,1579,LED,2948,Y,0,320 SU,130,KLV,1579,SVO,2985,,0,320 SU,130,KRK,669,SVO,2985,,0,SU9 SU,130,KRR,2960,AER,2965,,0,319 SU,130,KRR,2960,EVN,3964,,0,319 SU,130,KRR,2960,LED,2948,,0,319 SU,130,KRR,2960,SVO,2985,,0,319 320 738 SU,130,KRR,2960,SVX,2975,,0,319 SU,130,KSQ,6153,LED,2948,,0,320 SU,130,KUF,2993,LED,2948,,0,319 A81 SU,130,KUF,2993,SVO,2985,,0,321 319 320 SU,130,KZN,2990,LED,2948,,0,A81 SU,130,KZN,2990,SVO,2985,,0,319 320 SU9 321 SU,130,LAX,3484,SVO,2985,,0,332 SU,130,LBD,6147,LED,2948,,0,320 SU,130,LBD,6147,ROV,2964,,0,319 SU,130,LCA,1197,LED,2948,,0,763 SU,130,LCA,1197,SVO,2985,,0,321 320 SU,130,LED,2948,AAQ,4353,,0,320 319 SU,130,LED,2948,AER,2965,,0,320 319 SU,130,LED,2948,ALA,2908,,0,320 319 SU,130,LED,2948,AMS,580,Y,0,737 SU,130,LED,2948,ARH,4362,,0,A81 319 SU,130,LED,2948,ARN,737,,0,319 SU,130,LED,2948,AYT,1688,,0,763 SU,130,LED,2948,BCN,1218,,0,763 320 SU,130,LED,2948,BHK,2980,,0,320 SU,130,LED,2948,BOJ,1191,,0,320 SU,130,LED,2948,CDG,1382,,0,320 SU,130,LED,2948,CEK,2968,,0,319 SU,130,LED,2948,DME,4029,,0,320 319 SU,130,LED,2948,DUS,345,,0,319 SU,130,LED,2948,DYU,2979,,0,320 SU,130,LED,2948,EVN,3964,,0,319 320 SU,130,LED,2948,FCO,1555,,0,320 SU,130,LED,2948,FRA,340,,0,319 SU,130,LED,2948,FRU,2912,,0,320 SU,130,LED,2948,GYD,2922,,0,319 SU,130,LED,2948,HAM,342,,0,319 SU,130,LED,2948,HER,1452,,0,320 SU,130,LED,2948,IST,1701,,0,319 SU,130,LED,2948,KBP,2939,,0,A81 SU,130,LED,2948,KGD,2952,,0,319 320 SU,130,LED,2948,KGF,4375,,0,320 SU,130,LED,2948,KJA,4374,,0,320 SU,130,LED,2948,KLV,1579,Y,0,320 SU,130,LED,2948,KRR,2960,,0,319 SU,130,LED,2948,KSQ,6153,,0,320 SU,130,LED,2948,KUF,2993,,0,319 A81 SU,130,LED,2948,KZN,2990,,0,A81 SU,130,LED,2948,LBD,6147,,0,320 SU,130,LED,2948,LCA,1197,,0,763 SU,130,LED,2948,MMK,2949,,0,319 A81 SU,130,LED,2948,MRV,2962,,0,319 SU,130,LED,2948,MUC,346,,0,319 SU,130,LED,2948,MXP,1524,,0,320 SU,130,LED,2948,NCE,1354,,0,320 SU,130,LED,2948,NMA,6150,,0,320 SU,130,LED,2948,NVI,6485,,0,320 SU,130,LED,2948,OMS,2958,,0,A81 SU,130,LED,2948,OSS,2913,,0,320 SU,130,LED,2948,OVB,4078,,0,320 763 SU,130,LED,2948,PEE,2973,,0,319 A81 SU,130,LED,2948,PRG,1587,,0,319 SU,130,LED,2948,RHO,1472,,0,763 SU,130,LED,2948,ROV,2964,,0,A81 319 SU,130,LED,2948,SCW,2989,,0,A81 SU,130,LED,2948,SIP,2942,,0,320 319 SU,130,LED,2948,SKD,2981,,0,763 320 SU,130,LED,2948,SVO,2985,,0,321 320 738 SU,130,LED,2948,SVX,2975,,0,320 319 SU,130,LED,2948,SXF,337,,0,319 SU,130,LED,2948,TAS,2983,,0,763 320 SU,130,LED,2948,TFS,1056,,0,763 SU,130,LED,2948,TJM,4111,,0,319 SU,130,LED,2948,TLV,1590,,0,763 320 SU,130,LED,2948,TSE,2910,,0,319 SU,130,LED,2948,UFA,2992,,0,319 A81 SU,130,LED,2948,UGC,6152,,0,319 SU,130,LED,2948,VIE,1613,,0,319 SU,130,LED,2948,VKO,2988,,0,319 SU,130,LHR,507,SVO,2985,,0,320 333 321 SU,130,LJU,1569,SVO,2985,,0,CR2 SU,130,MAD,1229,SVO,2985,,0,321 320 SU,130,MIA,3576,SVO,2985,,0,332 SU,130,MLA,1606,SVO,2985,,0,319 SU,130,MLE,3156,SVO,2985,,0,333 SU,130,MMK,2949,LED,2948,,0,319 A81 SU,130,MMK,2949,SVO,2985,Y,0,735 SU,130,MQF,2969,SVO,2985,,0,SU9 SU,130,MRS,1353,CDG,1382,Y,0,319 321 SU,130,MRV,2962,EVN,3964,,0,319 SU,130,MRV,2962,LED,2948,,0,319 SU,130,MRV,2962,SVO,2985,,0,319 321 320 SU,130,MRV,2962,SVX,2975,,0,319 SU,130,MRV,2962,TAS,2983,,0,319 SU,130,MSQ,2954,SVO,2985,,0,320 319 SU,130,MUC,346,LED,2948,,0,319 SU,130,MUC,346,SVO,2985,,0,320 SU,130,MXP,1524,LED,2948,,0,320 SU,130,MXP,1524,SVO,2985,,0,320 321 SU,130,NBC,6969,SVO,2985,,0,320 SU9 319 SU,130,NCE,1354,DME,4029,,0,320 SU,130,NCE,1354,LED,2948,,0,320 SU,130,NCE,1354,SVO,2985,,0,321 320 SU,130,NJC,2972,SVO,2985,,0,321 319 320 SU,130,NMA,6150,LED,2948,,0,320 SU,130,NOZ,6119,SVO,2985,,0,320 319 SU,130,NRT,2279,SVO,2985,,0,333 SU,130,NUX,4364,SVO,2985,,0,320 SU,130,NVI,6485,LED,2948,,0,320 SU,130,ODS,2947,SVO,2985,,0,319 320 SU9 SU,130,OMS,2958,AER,2965,,0,319 SU,130,OMS,2958,LED,2948,,0,A81 SU,130,OMS,2958,SVO,2985,,0,320 SU,130,OSL,644,SVO,2985,,0,320 SU,130,OSS,2913,LED,2948,,0,320 SU,130,OTP,1657,SVO,2985,,0,737 SU9 SU,130,OVB,4078,KHV,2927,,0,319 SU,130,OVB,4078,LED,2948,,0,320 SU,130,OVB,4078,SVO,2985,,0,321 738 SU,130,OVB,4078,VVO,2934,,0,319 SU,130,PEE,2973,LED,2948,,0,319 A81 SU,130,PEE,2973,SVO,2985,,0,SU9 320 SU,130,PEK,3364,KHV,2927,,0,737 SU,130,PEK,3364,SVO,2985,,0,333 77W SU,130,PKC,2932,KHV,2927,,0,737 319 SU,130,PKC,2932,SVO,2985,,0,77W SU,130,PKC,2932,VVO,2934,,0,319 SU,130,PRG,1587,LED,2948,,0,319 SU,130,PRG,1587,SVO,2985,,0,320 321 SU,130,PUJ,1760,SVO,2985,,0,332 SU,130,PUS,2372,VVO,2934,,0,319 SU,130,PVG,3406,SVO,2985,,0,333 77W 767 SU,130,REN,2991,SVO,2985,,0,320 SU,130,RHO,1472,LED,2948,,0,763 SU,130,RIX,3953,SVO,2985,,0,320 321 SU,130,ROV,2964,AYT,1688,,0,319 SU,130,ROV,2964,EVN,3964,,0,319 SU,130,ROV,2964,IST,1701,,0,319 SU,130,ROV,2964,LBD,6147,,0,319 SU,130,ROV,2964,LED,2948,,0,A81 319 SU,130,ROV,2964,SIP,2942,,0,319 SU,130,ROV,2964,SVO,2985,,0,319 734 SU,130,ROV,2964,SVX,2975,,0,319 SU,130,ROV,2964,TAS,2983,,0,319 SU,130,ROV,2964,TLV,1590,,0,319 SU,130,SCW,2989,LED,2948,,0,A81 SU,130,SCW,2989,SVO,2985,Y,0,735 SU,130,SGC,2974,SVO,2985,,0,320 319 SU,130,SGN,3205,SVO,2985,,0,333 SU,130,SIP,2942,LED,2948,,0,320 319 SU,130,SIP,2942,ROV,2964,,0,319 SU,130,SIP,2942,SVO,2985,,0,320 321 SU,130,SKD,2981,LED,2948,,0,763 320 SU,130,SKG,1486,SVO,2985,,0,321 SU,130,SOF,1194,SVO,2985,,0,319 SU,130,STR,350,SVO,2985,,0,320 SU,130,STW,2963,SVO,2985,,0,319 SU,130,SVO,2985,AAQ,4353,,0,320 319 SU,130,SVO,2985,ABA,2955,,0,320 SU,130,SVO,2985,AER,2965,,0,321 738 320 SU,130,SVO,2985,AGP,1230,,0,320 SU,130,SVO,2985,AMS,580,,0,321 320 SU,130,SVO,2985,ARH,4362,Y,0,735 SU,130,SVO,2985,ARN,737,,0,320 SU,130,SVO,2985,ASF,2966,,0,319 320 SU,130,SVO,2985,ATH,3941,,0,321 320 SU,130,SVO,2985,AYT,1688,,0,321 320 SU,130,SVO,2985,BAX,2956,,0,320 321 SU,130,SVO,2985,BCN,1218,,0,321 SU,130,SVO,2985,BEG,1739,,0,319 321 320 733 738 SU,130,SVO,2985,BEY,2177,,0,319 320 SU,130,SVO,2985,BKK,3885,,0,333 SU,130,SVO,2985,BLQ,1538,,0,320 SU,130,SVO,2985,BRU,302,,0,320 319 SU,130,SVO,2985,BUD,1489,,0,320 SU,130,SVO,2985,CAI,1128,,0,320 SU,130,SVO,2985,CAN,3370,,0,333 332 SU,130,SVO,2985,CDG,1382,,0,320 321 SU,130,SVO,2985,CEK,2968,,0,320 SU,130,SVO,2985,CMN,1074,,0,738 SU,130,SVO,2985,CPH,609,,0,320 SU,130,SVO,2985,DEL,3093,,0,332 333 SU,130,SVO,2985,DNK,2941,,0,SU9 SU,130,SVO,2985,DOK,2940,,0,SU9 320 319 SU,130,SVO,2985,DRS,338,,0,SU9 SU,130,SVO,2985,DUS,345,,0,320 319 SU,130,SVO,2985,DXB,2188,,0,320 SU,130,SVO,2985,EVN,3964,,0,321 738 320 SU,130,SVO,2985,FCO,1555,,0,321 320 SU,130,SVO,2985,FRA,340,,0,320 319 SU,130,SVO,2985,FRU,2912,,0,319 321 SU,130,SVO,2985,GDZ,6933,,0,320 319 SU,130,SVO,2985,GOJ,4274,,0,SU9 320 SU,130,SVO,2985,GVA,1665,,0,320 319 SU,130,SVO,2985,GYD,2922,,0,320 SU,130,SVO,2985,HAJ,352,,0,320 SU,130,SVO,2985,HAM,342,,0,738 321 SU,130,SVO,2985,HAN,3199,,0,333 SU,130,SVO,2985,HAV,1909,,0,332 SU,130,SVO,2985,HEL,421,,0,319 SU,130,SVO,2985,HER,1452,,0,321 SU,130,SVO,2985,HKG,3077,,0,77W SU,130,SVO,2985,HRK,6105,,0,SU9 319 SU,130,SVO,2985,HTA,2935,,0,738 SU,130,SVO,2985,IAD,3714,,0,763 SU,130,SVO,2985,ICN,3930,,0,333 SU,130,SVO,2985,IKA,4330,,0,320 SU,130,SVO,2985,IKT,2937,,0,320 SU,130,SVO,2985,IST,1701,,0,320 SU,130,SVO,2985,JFK,3797,,0,333 77W SU,130,SVO,2985,KBP,2939,,0,321 320 SU,130,SVO,2985,KEJ,2957,,0,321 SU,130,SVO,2985,KGD,2952,,0,320 SU,130,SVO,2985,KGF,4375,,0,320 SU,130,SVO,2985,KHV,2927,,0,333 332 SU,130,SVO,2985,KJA,4374,,0,321 77W SU,130,SVO,2985,KLV,1579,,0,320 SU,130,SVO,2985,KRK,669,,0,SU9 SU,130,SVO,2985,KRR,2960,,0,319 320 738 SU,130,SVO,2985,KUF,2993,,0,319 320 321 SU,130,SVO,2985,KZN,2990,,0,320 319 SU9 321 SU,130,SVO,2985,LAX,3484,,0,332 SU,130,SVO,2985,LCA,1197,,0,321 320 SU,130,SVO,2985,LED,2948,,0,321 320 738 SU,130,SVO,2985,LHR,507,,0,320 333 321 SU,130,SVO,2985,LJU,1569,,0,CR2 SU,130,SVO,2985,MAD,1229,,0,321 320 SU,130,SVO,2985,MIA,3576,,0,332 SU,130,SVO,2985,MLA,1606,,0,319 SU,130,SVO,2985,MLE,3156,,0,333 SU,130,SVO,2985,MMK,2949,Y,0,735 SU,130,SVO,2985,MQF,2969,,0,SU9 SU,130,SVO,2985,MRV,2962,,0,321 319 320 SU,130,SVO,2985,MSQ,2954,,0,320 319 SU,130,SVO,2985,MUC,346,,0,320 SU,130,SVO,2985,MXP,1524,,0,321 320 SU,130,SVO,2985,NBC,6969,,0,320 SU9 319 SU,130,SVO,2985,NCE,1354,,0,321 320 SU,130,SVO,2985,NJC,2972,,0,321 319 320 SU,130,SVO,2985,NOZ,6119,,0,319 320 SU,130,SVO,2985,NRT,2279,,0,333 SU,130,SVO,2985,NUX,4364,,0,320 SU,130,SVO,2985,ODS,2947,,0,320 SU9 319 SU,130,SVO,2985,OMS,2958,,0,320 SU,130,SVO,2985,OSL,644,,0,320 SU,130,SVO,2985,OTP,1657,,0,SU9 737 SU,130,SVO,2985,OVB,4078,,0,321 738 SU,130,SVO,2985,PEE,2973,,0,SU9 320 SU,130,SVO,2985,PEK,3364,,0,333 77W SU,130,SVO,2985,PKC,2932,,0,77W SU,130,SVO,2985,PRG,1587,,0,321 320 SU,130,SVO,2985,PUJ,1760,,0,332 SU,130,SVO,2985,PVG,3406,,0,333 767 77W SU,130,SVO,2985,REN,2991,,0,320 SU,130,SVO,2985,RIX,3953,,0,320 321 SU,130,SVO,2985,ROV,2964,,0,319 734 SU,130,SVO,2985,SCW,2989,Y,0,735 SU,130,SVO,2985,SGC,2974,,0,320 319 SU,130,SVO,2985,SGN,3205,,0,333 SU,130,SVO,2985,SIP,2942,,0,320 321 SU,130,SVO,2985,SKG,1486,,0,321 SU,130,SVO,2985,SOF,1194,,0,319 SU,130,SVO,2985,STR,350,,0,320 SU,130,SVO,2985,STW,2963,,0,319 SU,130,SVO,2985,SVX,2975,,0,321 320 SU,130,SVO,2985,SXF,337,,0,320 321 319 738 SU,130,SVO,2985,TAS,2983,,0,321 SU,130,SVO,2985,TFS,1056,,0,333 SU,130,SVO,2985,TJM,4111,,0,320 SU9 SU,130,SVO,2985,TLL,415,,0,320 319 SU,130,SVO,2985,TLV,1590,,0,333 332 SU,130,SVO,2985,TOF,4297,,0,738 SU,130,SVO,2985,TXL,351,Y,0,737 SU,130,SVO,2985,UFA,2992,,0,320 319 SU,130,SVO,2985,ULN,3380,,0,320 SU,130,SVO,2985,URC,3399,Y,0,737 SU,130,SVO,2985,UUD,2938,,0,319 SU,130,SVO,2985,UUS,2933,,0,332 333 SU,130,SVO,2985,VCE,1551,,0,321 320 SU,130,SVO,2985,VIE,1613,,0,321 320 SU,130,SVO,2985,VNO,3959,,0,320 SU,130,SVO,2985,VOG,2967,,0,320 SU,130,SVO,2985,VVO,2934,,0,77W 333 SU,130,SVO,2985,WAW,679,,0,320 SU,130,SVO,2985,YKS,2923,,0,738 SU,130,SVO,2985,YYZ,193,,0,763 SU,130,SVO,2985,ZAG,1208,,0,319 SU,130,SVO,2985,ZRH,1678,,0,320 SU,130,SVX,2975,AER,2965,,0,319 SU,130,SVX,2975,KRR,2960,,0,319 SU,130,SVX,2975,LED,2948,,0,320 319 SU,130,SVX,2975,MRV,2962,,0,319 SU,130,SVX,2975,ROV,2964,,0,319 SU,130,SVX,2975,SVO,2985,,0,321 320 SU,130,SXF,337,LED,2948,,0,319 SU,130,SXF,337,SVO,2985,,0,320 321 319 738 SU,130,TAS,2983,AER,2965,,0,319 SU,130,TAS,2983,LED,2948,,0,763 320 SU,130,TAS,2983,MRV,2962,,0,319 SU,130,TAS,2983,ROV,2964,,0,319 SU,130,TAS,2983,SVO,2985,,0,321 SU,130,TFS,1056,LED,2948,,0,763 SU,130,TFS,1056,SVO,2985,,0,333 SU,130,TJM,4111,LED,2948,,0,319 SU,130,TJM,4111,SVO,2985,,0,320 SU9 SU,130,TLL,415,SVO,2985,,0,320 319 SU,130,TLV,1590,LED,2948,,0,763 320 SU,130,TLV,1590,ROV,2964,,0,319 SU,130,TLV,1590,SVO,2985,,0,333 332 SU,130,TOF,4297,SVO,2985,,0,738 SU,130,TSE,2910,LED,2948,,0,319 SU,130,TXL,351,SVO,2985,Y,0,737 SU,130,UFA,2992,LED,2948,,0,319 A81 SU,130,UFA,2992,SVO,2985,,0,320 319 SU,130,UGC,6152,LED,2948,,0,319 SU,130,ULN,3380,SVO,2985,,0,320 SU,130,URC,3399,CAN,3370,Y,0,737 SU,130,URC,3399,SVO,2985,Y,0,737 SU,130,UUD,2938,SVO,2985,,0,319 SU,130,UUS,2933,HRB,3400,,0,737 SU,130,UUS,2933,ICN,3930,,0,737 SU,130,UUS,2933,KHV,2927,,0,737 319 SU,130,UUS,2933,SVO,2985,,0,333 332 SU,130,UUS,2933,VVO,2934,,0,319 737 SU,130,VCE,1551,SVO,2985,,0,321 320 SU,130,VIE,1613,LED,2948,,0,319 SU,130,VIE,1613,SVO,2985,,0,320 321 SU,130,VKO,2988,LED,2948,,0,319 SU,130,VNO,3959,SVO,2985,,0,320 SU,130,VOG,2967,SVO,2985,,0,320 SU,130,VVO,2934,ICN,3930,,0,319 737 SU,130,VVO,2934,KHV,2927,,0,319 737 SU,130,VVO,2934,OVB,4078,,0,319 SU,130,VVO,2934,PKC,2932,,0,319 SU,130,VVO,2934,PUS,2372,,0,319 SU,130,VVO,2934,SVO,2985,,0,77W 333 SU,130,VVO,2934,UUS,2933,,0,319 737 SU,130,VVO,2934,YKS,2923,,0,319 SU,130,WAW,679,SVO,2985,,0,320 SU,130,YKS,2923,SVO,2985,,0,738 SU,130,YKS,2923,VVO,2934,,0,319 SU,130,YYZ,193,SVO,2985,,0,763 SU,130,ZAG,1208,SVO,2985,,0,319 SU,130,ZRH,1678,SVO,2985,,0,320 SV,4533,ABT,2061,DMM,2064,,0,320 SV,4533,ABT,2061,JED,2072,,0,320 SV,4533,ABT,2061,RUH,2082,,0,320 SV,4533,ADD,1107,JED,2072,,0,320 SV,4533,ADD,1107,RUH,2082,,0,320 SV,4533,ADE,3977,JED,2072,,0,320 SV,4533,AHB,2059,CAI,1128,,0,320 SV,4533,AHB,2059,DMM,2064,,0,320 SV,4533,AHB,2059,JED,2072,,0,320 321 SV,4533,AHB,2059,MED,2074,,0,E70 SV,4533,AHB,2059,RUH,2082,,0,320 SV,4533,AHB,2059,TIF,2090,,0,320 SV,4533,AHB,2059,TUU,2089,,0,320 SV,4533,AJF,5925,JED,2072,,0,E70 SV,4533,AJF,5925,RUH,2082,,0,320 E70 SV,4533,ALG,210,MED,2074,,0,AB6 SV,4533,AMM,2170,JED,2072,,0,320 SV,4533,AMM,2170,MED,2074,,0,320 SV,4533,AMM,2170,RUH,2082,,0,320 SV,4533,AQI,2076,JED,2072,,0,E70 SV,4533,AQI,2076,RUH,2082,,0,E70 SV,4533,AUH,2179,JED,2072,,0,320 SV,4533,AUH,2179,MED,2074,,0,320 321 SV,4533,AUH,2179,RUH,2082,,0,320 321 SV,4533,AWZ,2104,MED,2074,,0,AB6 SV,4533,AZD,2164,MED,2074,,0,AB6 SV,4533,BAH,2057,DMM,2064,Y,0,320 SV,4533,BAH,2057,JED,2072,,0,E70 SV,4533,BAH,2057,MED,2074,Y,0,320 SV,4533,BAH,2057,RUH,2082,,0,E70 320 SV,4533,BEY,2177,JED,2072,,0,320 333 SV,4533,BEY,2177,MED,2074,,0,320 SV,4533,BEY,2177,RUH,2082,,0,320 321 333 SV,4533,BHH,2062,DMM,2064,,0,E70 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SV,4533,RUH,2082,AJF,5925,,0,320 E70 SV,4533,RUH,2082,AMM,2170,,0,320 SV,4533,RUH,2082,AQI,2076,,0,E70 SV,4533,RUH,2082,AUH,2179,,0,320 321 SV,4533,RUH,2082,BAH,2057,,0,E70 320 SV,4533,RUH,2082,BEY,2177,,0,320 321 333 SV,4533,RUH,2082,BHH,2062,,0,320 321 SV,4533,RUH,2082,BLR,3131,,0,333 SV,4533,RUH,2082,BOM,2997,,0,772 SV,4533,RUH,2082,CAI,1128,,0,320 772 333 SV,4533,RUH,2082,CAN,3370,,0,777 SV,4533,RUH,2082,CCJ,3137,,0,772 SV,4533,RUH,2082,CDG,1382,,0,777 SV,4533,RUH,2082,CGK,3275,,0,773 SV,4533,RUH,2082,CMB,3024,,0,772 SV,4533,RUH,2082,CMN,1074,,0,777 SV,4533,RUH,2082,COK,3136,,0,333 SV,4533,RUH,2082,DAC,3076,,0,772 SV,4533,RUH,2082,DEL,3093,,0,772 SV,4533,RUH,2082,DMM,2064,,0,320 E70 321 SV,4533,RUH,2082,DOH,11051,,0,320 SV,4533,RUH,2082,DWD,5924,,0,E70 SV,4533,RUH,2082,DXB,2188,,0,321 333 777 320 773 SV,4533,RUH,2082,EAM,2075,,0,320 321 SV,4533,RUH,2082,ELQ,2067,,0,E70 320 321 SV,4533,RUH,2082,FCO,1555,,0,320 SV,4533,RUH,2082,FRA,340,,0,320 SV,4533,RUH,2082,GIZ,2066,,0,321 SV,4533,RUH,2082,GVA,1665,,0,320 SV,4533,RUH,2082,HAS,2069,,0,321 320 SV,4533,RUH,2082,HBE,3410,,0,320 SV,4533,RUH,2082,HOF,2060,,0,E70 SV,4533,RUH,2082,HYD,\N,,0,772 SV,4533,RUH,2082,IAD,3714,,0,777 SV,4533,RUH,2082,ISB,2223,,0,74E SV,4533,RUH,2082,IST,1701,,0,320 SV,4533,RUH,2082,JED,2072,,0,321 320 333 772 773 777 744 E70 74E SV,4533,RUH,2082,JFK,3797,,0,777 SV,4533,RUH,2082,KHI,2206,,0,772 SV,4533,RUH,2082,KRT,1175,,0,772 SV,4533,RUH,2082,KUL,3304,,0,773 SV,4533,RUH,2082,KWI,2176,,0,321 E70 SV,4533,RUH,2082,LHE,2207,,0,74E SV,4533,RUH,2082,LHR,507,,0,777 SV,4533,RUH,2082,LKO,3105,,0,333 SV,4533,RUH,2082,MAA,3144,,0,333 SV,4533,RUH,2082,MCT,2194,,0,E70 SV,4533,RUH,2082,MED,2074,,0,E70 321 320 772 74E 773 SV,4533,RUH,2082,MNL,2397,,0,744 SV,4533,RUH,2082,MXP,1524,,0,320 SV,4533,RUH,2082,PEW,2219,,0,772 SV,4533,RUH,2082,RAE,2084,,0,320 SV,4533,RUH,2082,RAH,2081,,0,E70 SV,4533,RUH,2082,SAH,3980,,0,320 SV,4533,RUH,2082,SHW,2086,,0,E70 320 SV,4533,RUH,2082,SIN,3316,,0,777 SV,4533,RUH,2082,SSH,4057,,0,E70 SV,4533,RUH,2082,TIF,2090,,0,320 SV,4533,RUH,2082,TUI,2093,,0,E70 SV,4533,RUH,2082,TUU,2089,,0,321 320 SV,4533,RUH,2082,ULH,8381,,0,E70 SV,4533,RUH,2082,URY,2068,,0,320 E70 SV,4533,RUH,2082,WAE,\N,,0,E70 SV,4533,RUH,2082,YNB,2096,,0,E70 320 321 SV,4533,SAH,3980,JED,2072,,0,320 SV,4533,SAH,3980,RUH,2082,,0,320 SV,4533,SHW,2086,JED,2072,,0,E70 320 SV,4533,SHW,2086,RUH,2082,,0,E70 320 SV,4533,SIN,3316,JED,2072,,0,777 772 SV,4533,SIN,3316,RUH,2082,,0,777 SV,4533,SSH,4057,JED,2072,,0,E70 SV,4533,SSH,4057,RUH,2082,,0,E70 SV,4533,SYZ,2157,MED,2074,,0,AB6 SV,4533,TBZ,2162,MED,2074,,0,AB6 SV,4533,THR,2131,MED,2074,,0,74E AB6 SV,4533,TIF,2090,AHB,2059,,0,320 SV,4533,TIF,2090,DMM,2064,,0,320 SV,4533,TIF,2090,RUH,2082,,0,320 SV,4533,TUI,2093,RUH,2082,,0,E70 SV,4533,TUN,287,JED,2072,,0,333 SV,4533,TUU,2089,AHB,2059,,0,320 SV,4533,TUU,2089,DMM,2064,,0,E70 SV,4533,TUU,2089,JED,2072,,0,321 SV,4533,TUU,2089,MED,2074,,0,E70 SV,4533,TUU,2089,RUH,2082,,0,321 320 SV,4533,ULH,8381,MED,2074,,0,E70 SV,4533,ULH,8381,RUH,2082,,0,E70 SV,4533,URY,2068,JED,2072,,0,321 320 E70 SV,4533,URY,2068,RUH,2082,,0,320 E70 SV,4533,WAE,\N,JED,2072,,0,E70 SV,4533,WAE,\N,RUH,2082,,0,E70 SV,4533,YNB,2096,JED,2072,,0,E70 320 321 SV,4533,YNB,2096,RUH,2082,,0,E70 320 321 SV,4533,YYZ,193,JED,2072,,0,777 SW,153,ACC,248,WDH,4105,,0,319 SW,153,CPT,797,WDH,4105,,0,319 SW,153,ERS,5645,MPA,6779,,0,ER3 SW,153,ERS,5645,NDU,7634,,0,ER3 SW,153,ERS,5645,OND,5642,,0,ER3 SW,153,FRA,340,WDH,4105,,0,332 SW,153,HRE,1005,LUN,907,,0,ER3 SW,153,HRE,1005,WDH,4105,,0,ER3 SW,153,JNB,813,WDH,4105,,0,319 ER3 SW,153,LAD,951,WDH,4105,,0,319 SW,153,LUD,5641,OMD,5643,,0,ER3 SW,153,LUN,907,HRE,1005,,0,ER3 SW,153,LUN,907,WDH,4105,,0,ER3 SW,153,MPA,6779,ERS,5645,,0,ER3 SW,153,MPA,6779,NDU,7634,,0,ER3 SW,153,MUB,880,VFA,1004,,0,ER3 SW,153,MUB,880,WDH,4105,,0,ER3 SW,153,NDU,7634,ERS,5645,,0,ER3 SW,153,NDU,7634,MPA,6779,,0,ER3 SW,153,OMD,5643,WDH,4105,,0,ER3 SW,153,OND,5642,ERS,5645,,0,ER3 SW,153,VFA,1004,MUB,880,,0,ER3 SW,153,VFA,1004,WDH,4105,,0,ER3 SW,153,WDH,4105,ACC,248,,0,319 SW,153,WDH,4105,CPT,797,,0,319 SW,153,WDH,4105,FRA,340,,0,332 SW,153,WDH,4105,HRE,1005,,0,ER3 SW,153,WDH,4105,JNB,813,,0,319 ER3 SW,153,WDH,4105,LAD,951,,0,319 SW,153,WDH,4105,LUD,5641,,0,ER3 SW,153,WDH,4105,LUN,907,,0,ER3 SW,153,WDH,4105,MUB,880,,0,ER3 SW,153,WDH,4105,VFA,1004,,0,ER3 SW,153,WDH,4105,WVB,6778,,0,ER3 SW,153,WVB,6778,WDH,4105,,0,ER3 SX,18543,AMS,580,BRN,1676,,0,D38 SX,18543,BCN,1218,BRN,1676,,0,D38 SX,18543,BRN,1676,AMS,580,,0,D38 SX,18543,BRN,1676,BCN,1218,,0,D38 SX,18543,BRN,1676,CGN,344,,0,D38 SX,18543,BRN,1676,EBA,1558,,0,D38 SX,18543,BRN,1676,HAM,342,,0,D38 SX,18543,BRN,1676,IBZ,1225,,0,D38 SX,18543,BRN,1676,LCY,503,,0,D38 SX,18543,BRN,1676,MUC,346,,0,D38 SX,18543,BRN,1676,OLB,1520,,0,D38 SX,18543,BRN,1676,PMI,3998,,0,D38 SX,18543,BRN,1676,TXL,351,,0,D38 SX,18543,BRN,1676,VIE,1613,,0,D38 SX,18543,CGN,344,BRN,1676,,0,D38 SX,18543,EBA,1558,BRN,1676,,0,D38 SX,18543,HAM,342,BRN,1676,,0,D38 SX,18543,IBZ,1225,BRN,1676,,0,D38 SX,18543,LCY,503,BRN,1676,,0,D38 SX,18543,MUC,346,BRN,1676,,0,D38 SX,18543,OLB,1520,BRN,1676,,0,D38 SX,18543,PMI,3998,BRN,1676,,0,D38 SX,18543,TXL,351,BRN,1676,,0,D38 SX,18543,VIE,1613,BRN,1676,,0,D38 SY,4356,BOS,3448,MSP,3858,,0,738 73G SY,4356,CUN,1852,DFW,3670,,0,738 SY,4356,CUN,1852,MSP,3858,,0,738 SY,4356,DCA,3520,LAN,3544,,0,73G SY,4356,DCA,3520,MSP,3858,,0,73G SY,4356,DFW,3670,CUN,1852,,0,738 SY,4356,DFW,3670,MSP,3858,,0,738 SY,4356,JFK,3797,MSP,3858,,0,73G 738 SY,4356,LAN,3544,DCA,3520,,0,73G SY,4356,LAN,3544,MSP,3858,,0,73G SY,4356,LAS,3877,MSP,3858,,0,738 SY,4356,LAX,3484,MSP,3858,,0,73G 738 SY,4356,MCO,3878,MSP,3858,,0,738 73G SY,4356,MDW,3747,MSP,3858,,0,73G 738 SY,4356,MSP,3858,BOS,3448,,0,738 73G SY,4356,MSP,3858,CUN,1852,,0,738 SY,4356,MSP,3858,DCA,3520,,0,73G SY,4356,MSP,3858,DFW,3670,,0,738 SY,4356,MSP,3858,JFK,3797,,0,73G 738 SY,4356,MSP,3858,LAN,3544,,0,73G SY,4356,MSP,3858,LAS,3877,,0,738 SY,4356,MSP,3858,LAX,3484,,0,73G 738 SY,4356,MSP,3858,MCO,3878,,0,738 73G SY,4356,MSP,3858,MDW,3747,,0,73G 738 SY,4356,MSP,3858,PHX,3462,,0,73G SY,4356,MSP,3858,PSP,3839,,0,73G SY,4356,MSP,3858,PUJ,1760,,0,738 SY,4356,MSP,3858,RSW,3793,,0,738 73G SY,4356,MSP,3858,SAN,3731,,0,73G SY,4356,MSP,3858,SEA,3577,,0,73G 738 SY,4356,MSP,3858,SFO,3469,,0,73G 738 SY,4356,PHX,3462,MSP,3858,,0,73G SY,4356,PSP,3839,MSP,3858,,0,73G SY,4356,PUJ,1760,MSP,3858,,0,738 SY,4356,RSW,3793,MSP,3858,,0,738 73G SY,4356,SAN,3731,MSP,3858,,0,73G SY,4356,SEA,3577,MSP,3858,,0,73G 738 SY,4356,SFO,3469,MSP,3858,,0,73G 738 SZ,10122,AER,2965,LBD,6147,,0,737 SZ,10122,ALA,2908,DYU,2979,,0,737 SZ,10122,DME,4029,DYU,2979,,0,737 SZ,10122,DXB,2188,DYU,2979,,0,737 SZ,10122,DYU,2979,ALA,2908,,0,737 SZ,10122,DYU,2979,DME,4029,,0,737 SZ,10122,DYU,2979,DXB,2188,,0,737 SZ,10122,DYU,2979,FRA,340,,0,737 SZ,10122,DYU,2979,IKT,2937,,0,737 SZ,10122,DYU,2979,IST,1701,,0,737 SZ,10122,DYU,2979,KJA,4374,,0,737 SZ,10122,DYU,2979,KRR,2960,,0,737 SZ,10122,DYU,2979,KZN,2990,,0,737 SZ,10122,DYU,2979,LED,2948,,0,737 SZ,10122,DYU,2979,REN,2991,,0,737 SZ,10122,DYU,2979,SVX,2975,,0,737 SZ,10122,DYU,2979,URC,3399,,0,737 SZ,10122,FRA,340,DYU,2979,,0,737 SZ,10122,HMA,6138,LBD,6147,,0,737 SZ,10122,IKT,2937,DYU,2979,,0,737 SZ,10122,IST,1701,DYU,2979,,0,737 SZ,10122,KJA,4374,DYU,2979,,0,737 SZ,10122,KJA,4374,LBD,6147,,0,737 SZ,10122,KRR,2960,DYU,2979,,0,737 SZ,10122,KRR,2960,LBD,6147,,0,737 SZ,10122,KZN,2990,DYU,2979,,0,737 SZ,10122,KZN,2990,LBD,6147,,0,737 SZ,10122,LBD,6147,AER,2965,,0,737 SZ,10122,LBD,6147,HMA,6138,,0,737 SZ,10122,LBD,6147,KJA,4374,,0,737 SZ,10122,LBD,6147,KRR,2960,,0,737 SZ,10122,LBD,6147,KZN,2990,,0,737 SZ,10122,LBD,6147,LED,2948,,0,737 SZ,10122,LBD,6147,NJC,2972,,0,737 SZ,10122,LBD,6147,OVB,4078,,0,737 SZ,10122,LBD,6147,REN,2991,,0,737 SZ,10122,LBD,6147,SVX,2975,,0,737 SZ,10122,LBD,6147,TJM,4111,,0,737 SZ,10122,LED,2948,DYU,2979,,0,737 SZ,10122,LED,2948,LBD,6147,,0,737 SZ,10122,NJC,2972,LBD,6147,,0,737 SZ,10122,OVB,4078,LBD,6147,,0,737 SZ,10122,REN,2991,DYU,2979,,0,737 SZ,10122,REN,2991,LBD,6147,,0,737 SZ,10122,SVX,2975,DYU,2979,,0,737 SZ,10122,SVX,2975,LBD,6147,,0,737 SZ,10122,TJM,4111,LBD,6147,,0,737 SZ,10122,URC,3399,DYU,2979,,0,737 T3,2117,ABZ,532,EMA,523,,0,J41 T3,2117,ABZ,532,HUY,515,,0,J41 S20 T3,2117,ABZ,532,LBA,517,,0,J41 T3,2117,ABZ,532,MME,522,,0,J41 S20 T3,2117,ABZ,532,NCL,521,,0,ER4 J41 S20 T3,2117,ABZ,532,NWI,547,,0,S20 T3,2117,ABZ,532,SVG,666,,0,ER3 J41 T3,2117,ABZ,532,SYY,541,,0,J41 T3,2117,ABZ,532,WIC,531,,0,J41 T3,2117,BHX,469,NCL,521,,0,J32 T3,2117,CWL,488,NCL,521,,0,J41 S20 T3,2117,DIJ,1425,TLS,1273,Y,0,J41 T3,2117,EMA,523,ABZ,532,,0,J41 T3,2117,HUY,515,ABZ,532,,0,J41 S20 T3,2117,HUY,515,NWI,547,,0,S20 T3,2117,LBA,517,ABZ,532,,0,J41 T3,2117,LBA,517,SOU,495,,0,J41 T3,2117,LRT,1409,LYS,1335,,0,J41 T3,2117,LYS,1335,LRT,1409,,0,J41 T3,2117,MME,522,ABZ,532,,0,J41 S20 T3,2117,NCL,521,ABZ,532,,0,ER4 J41 S20 T3,2117,NCL,521,BHX,469,,0,J32 T3,2117,NCL,521,CWL,488,,0,J41 S20 T3,2117,NCL,521,SVG,666,,0,ER4 T3,2117,NWI,547,ABZ,532,,0,S20 T3,2117,NWI,547,HUY,515,,0,S20 T3,2117,SOU,495,LBA,517,,0,J41 T3,2117,SVG,666,ABZ,532,,0,ER3 J41 T3,2117,SVG,666,NCL,521,,0,ER4 T3,2117,SYY,541,ABZ,532,,0,J41 T3,2117,TLS,1273,DIJ,1425,Y,0,J41 T3,2117,WIC,531,ABZ,532,,0,J41 T5,5083,ASB,2976,ATQ,3081,,0,752 T5,5083,ASB,2976,BHX,469,,0,752 T5,5083,ASB,2976,DEL,3093,,0,733 T5,5083,ASB,2976,DME,4029,,0,738 752 T5,5083,ASB,2976,DXB,2188,,0,733 T5,5083,ASB,2976,FRA,340,,0,738 T5,5083,ASB,2976,IST,1701,,0,738 752 T5,5083,ASB,2976,LHR,507,,0,752 T5,5083,ATQ,3081,ASB,2976,,0,752 T5,5083,BHX,469,ASB,2976,,0,752 T5,5083,DEL,3093,ASB,2976,,0,733 T5,5083,DME,4029,ASB,2976,,0,752 738 T5,5083,DXB,2188,ASB,2976,,0,733 T5,5083,FRA,340,ASB,2976,,0,738 T5,5083,IST,1701,ASB,2976,,0,738 752 T5,5083,LHR,507,ASB,2976,,0,752 T7,4965,EGC,1265,PGX,1279,,0,BEH T7,4965,ETZ,1320,MRS,1353,,0,BEH T7,4965,ETZ,1320,TLS,1273,,0,BEH T7,4965,GVA,1665,MRS,1353,,0,BEH T7,4965,LEH,1371,LYS,1335,,0,BEH T7,4965,LIG,1270,NCE,1354,,0,BEH T7,4965,LIG,1270,ORY,1386,,0,BEH T7,4965,LYS,1335,LEH,1371,,0,BEH T7,4965,MLH,\N,MRS,1353,,0,BEH T7,4965,MRS,1353,ETZ,1320,,0,BEH T7,4965,MRS,1353,GVA,1665,,0,BEH T7,4965,MRS,1353,MLH,\N,,0,BEH T7,4965,MRS,1353,MXP,1524,,0,BEH T7,4965,MRS,1353,PUF,1274,,0,BEH T7,4965,MXP,1524,MRS,1353,,0,BEH T7,4965,MXP,1524,TLS,1273,,0,BEH T7,4965,NCE,1354,LIG,1270,,0,BEH T7,4965,ORY,1386,LIG,1270,,0,BEH T7,4965,ORY,1386,PGX,1279,,0,BEH T7,4965,PGX,1279,EGC,1265,,0,BEH T7,4965,PGX,1279,ORY,1386,,0,BEH T7,4965,PUF,1274,MRS,1353,,0,BEH T7,4965,TLS,1273,ETZ,1320,,0,BEH T7,4965,TLS,1273,MXP,1524,,0,BEH TA,2622,GIG,2560,LIM,2789,Y,0,320 TA,2622,GRU,2564,LIM,2789,Y,0,321 TA,2622,HAV,1909,LIM,2789,Y,0,319 320 TA,2622,HAV,1909,SAL,1892,,0,319 320 TA,2622,LIM,2789,GIG,2560,Y,0,320 TA,2622,LIM,2789,GRU,2564,Y,0,321 TA,2622,LIM,2789,HAV,1909,Y,0,319 TA,2622,LIM,2789,POA,2599,Y,0,319 320 TA,2622,MGA,1863,MIA,3576,,0,E90 320 319 TA,2622,MGA,1863,SAL,1892,,0,E90 320 319 TA,2622,MIA,3576,MGA,1863,,0,E90 320 319 TA,2622,POA,2599,LIM,2789,Y,0,319 320 TA,2622,SAL,1892,HAV,1909,,0,319 320 TA,2622,SAL,1892,MGA,1863,,0,E90 320 319 TCX,4897,ACE,1055,BFS,465,,0,321 TCX,4897,ACE,1055,BHX,469,,0,752 TCX,4897,ACE,1055,BRS,490,,0,320 TCX,4897,ACE,1055,EMA,523,,0,321 TCX,4897,ACE,1055,GLA,534,,0,752 TCX,4897,ACE,1055,LGW,502,,0,752 753 TCX,4897,ACE,1055,MAN,478,,0,753 321 TCX,4897,ACE,1055,NCL,521,,0,752 TCX,4897,AYT,1688,BHX,469,,0,752 TCX,4897,AYT,1688,GLA,534,,0,752 TCX,4897,AYT,1688,LGW,502,,0,753 752 332 TCX,4897,AYT,1688,MAN,478,,0,321 TCX,4897,BFS,465,DLM,1715,,0,321 TCX,4897,BFS,465,LCA,1197,,0,321 TCX,4897,BFS,465,NBE,7447,,0,321 TCX,4897,BFS,465,PMI,3998,,0,321 TCX,4897,BFS,465,TFS,1056,,0,321 TCX,4897,BHX,469,ACE,1055,,0,752 TCX,4897,BHX,469,AYT,1688,,0,752 TCX,4897,BHX,469,DLM,1715,,0,752 TCX,4897,BHX,469,FUE,1051,,0,752 TCX,4897,BHX,469,LCA,1197,,0,752 TCX,4897,BHX,469,NBE,7447,,0,752 TCX,4897,BHX,469,PMI,3998,,0,752 TCX,4897,BHX,469,TFS,1056,,0,752 321 TCX,4897,BJV,4315,MAN,478,,0,321 TCX,4897,BRS,490,ACE,1055,,0,320 TCX,4897,BRS,490,AYT,1688,,0,320 TCX,4897,BRS,490,DLM,1715,,0,320 TCX,4897,BRS,490,LPA,1054,,0,320 TCX,4897,BRS,490,NBE,7447,,0,320 TCX,4897,BRS,490,PMI,3998,,0,320 TCX,4897,BRS,490,TFS,1056,,0,320 TCX,4897,CUN,1852,LGW,502,,0,332 TCX,4897,CUN,1852,MAN,478,,0,332 TCX,4897,DLM,1715,BFS,465,,0,321 TCX,4897,DLM,1715,BHX,469,,0,752 TCX,4897,DLM,1715,BRS,490,,0,320 TCX,4897,DLM,1715,GLA,534,,0,752 TCX,4897,DLM,1715,LGW,502,,0,752 321 753 TCX,4897,DLM,1715,MAN,478,,0,332 321 763 TCX,4897,DLM,1715,NCL,521,,0,752 TCX,4897,EMA,523,ACE,1055,,0,321 TCX,4897,EMA,523,DLM,1715,,0,321 TCX,4897,EMA,523,FUE,1051,,0,321 TCX,4897,EMA,523,NBE,7447,,0,321 TCX,4897,EMA,523,TFS,1056,,0,321 TCX,4897,FUE,1051,BHX,469,,0,752 TCX,4897,FUE,1051,EMA,523,,0,321 TCX,4897,FUE,1051,GLA,534,,0,752 TCX,4897,FUE,1051,LGW,502,,0,753 752 TCX,4897,GLA,534,ACE,1055,,0,752 TCX,4897,GLA,534,AYT,1688,,0,752 TCX,4897,GLA,534,DLM,1715,,0,752 TCX,4897,GLA,534,FUE,1051,,0,752 TCX,4897,GLA,534,LPA,1054,,0,752 TCX,4897,GLA,534,NBE,7447,,0,752 TCX,4897,GLA,534,TFS,1056,,0,752 TCX,4897,HOG,1910,MAN,478,,0,332 TCX,4897,HRG,1130,LGW,502,,0,752 753 TCX,4897,HRG,1130,MAN,478,,0,763 TCX,4897,LAS,3877,MAN,478,,0,332 TCX,4897,LCA,1197,LGW,502,,0,752 TCX,4897,LCA,1197,MAN,478,,0,321 TCX,4897,LGW,502,ACE,1055,,0,752 753 TCX,4897,LGW,502,AYT,1688,,0,753 752 332 TCX,4897,LGW,502,DLM,1715,,0,752 321 753 TCX,4897,LGW,502,FUE,1051,,0,753 752 TCX,4897,LGW,502,HRG,1130,,0,752 753 TCX,4897,LGW,502,LCA,1197,,0,752 TCX,4897,LGW,502,LPA,1054,,0,321 TCX,4897,LGW,502,NBE,7447,,0,752 321 TCX,4897,LGW,502,PMI,3998,,0,321 TCX,4897,LGW,502,SSH,4057,,0,753 TCX,4897,LGW,502,TFS,1056,,0,752 TCX,4897,LPA,1054,BRS,490,,0,320 TCX,4897,LPA,1054,EMA,523,,0,321 TCX,4897,LPA,1054,GLA,534,,0,752 TCX,4897,LPA,1054,LGW,502,,0,321 TCX,4897,LPA,1054,MAN,478,,0,321 TCX,4897,MAN,478,ACE,1055,,0,753 TCX,4897,MAN,478,AYT,1688,,0,321 TCX,4897,MAN,478,BJV,4315,,0,321 TCX,4897,MAN,478,CCC,1901,,0,332 TCX,4897,MAN,478,CUN,1852,,0,332 TCX,4897,MAN,478,DLM,1715,,0,332 321 752 763 TCX,4897,MAN,478,HRG,1130,,0,763 TCX,4897,MAN,478,LAS,3877,,0,332 TCX,4897,MAN,478,LCA,1197,,0,321 TCX,4897,MAN,478,LPA,1054,,0,321 TCX,4897,MAN,478,MLA,1606,,0,321 TCX,4897,MAN,478,NBE,7447,,0,321 753 TCX,4897,MAN,478,PFO,1198,,0,321 TCX,4897,MAN,478,PMI,3998,,0,321 TCX,4897,MAN,478,SSH,4057,,0,763 TCX,4897,MAN,478,TFS,1056,,0,753 321 TCX,4897,MLA,1606,MAN,478,,0,321 TCX,4897,NBE,7447,BRS,490,,0,320 TCX,4897,NBE,7447,EMA,523,,0,321 TCX,4897,NBE,7447,GLA,534,,0,752 TCX,4897,NBE,7447,LGW,502,,0,752 TCX,4897,NBE,7447,MAN,478,,0,321 753 TCX,4897,NBE,7447,NCL,521,,0,752 321 TCX,4897,NCL,521,ACE,1055,,0,752 TCX,4897,NCL,521,DLM,1715,,0,752 TCX,4897,NCL,521,FUE,1051,,0,752 TCX,4897,NCL,521,NBE,7447,,0,752 321 TCX,4897,NCL,521,SSH,4057,,0,752 TCX,4897,NCL,521,TFS,1056,,0,752 TCX,4897,PMI,3998,BHX,469,,0,752 TCX,4897,PMI,3998,LGW,502,,0,321 TCX,4897,PMI,3998,MAN,478,,0,321 TCX,4897,SSH,4057,BHX,469,,0,752 TCX,4897,SSH,4057,LGW,502,,0,753 TCX,4897,SSH,4057,MAN,478,,0,763 TCX,4897,SSH,4057,NCL,521,,0,752 TCX,4897,TFS,1056,BFS,465,,0,321 TCX,4897,TFS,1056,BHX,469,,0,752 TCX,4897,TFS,1056,BRS,490,,0,320 TCX,4897,TFS,1056,EMA,523,,0,321 TCX,4897,TFS,1056,GLA,534,,0,752 TCX,4897,TFS,1056,LGW,502,,0,752 TCX,4897,TFS,1056,MAN,478,,0,753 321 TCX,4897,TFS,1056,NCL,521,,0,752 TCX,4897,VDA,1602,CDG,1382,,0,321 TD,1048,EVN,3964,PRG,1587,,0,319 TD,1048,EVN,3964,VIE,1613,Y,0,321 TD,1048,PRG,1587,EVN,3964,,0,319 TD,1048,VIE,1613,EVN,3964,Y,0,321 TE,2418,CAW,2543,MEA,6037,,0,L4T TE,2418,CAW,2543,SDU,2612,,0,L4T TE,2418,CAW,2543,VIX,2638,,0,L4T TE,2418,CFB,7364,SDU,2612,,0,L4T TE,2418,MEA,6037,CAW,2543,,0,L4T TE,2418,MEA,6037,SDU,2612,,0,L4T TE,2418,SDU,2612,CFB,7364,,0,L4T TE,2418,SDU,2612,MEA,6037,,0,L4T TE,2418,SDU,2612,SJK,2615,,0,L4T TE,2418,SJK,2615,SDU,2612,,0,L4T TE,2418,VIX,2638,CAW,2543,,0,L4T TF,3386,AGH,5597,BMA,738,Y,0,AT7 TF,3386,BMA,738,AGH,5597,Y,0,AT7 TF,3386,BMA,738,BRU,302,Y,0,AR1 TF,3386,BMA,738,GOT,687,,0,AR1 AR8 TF,3386,BMA,738,HAD,709,Y,0,AT7 TF,3386,BMA,738,HEL,421,Y,0,ATR AT7 TF,3386,BMA,738,KLR,707,Y,0,S20 TF,3386,BMA,738,MMX,708,,0,AR1 AR8 TF,3386,BMA,738,OSD,5593,,0,S20 TF,3386,BMA,738,RNB,685,Y,0,S20 TF,3386,BMA,738,SDL,721,Y,0,S20 TF,3386,BMA,738,UME,728,,0,AR1 AR8 TF,3386,BMA,738,VBY,746,Y,0,AT7 AR1 TF,3386,BMA,738,VXO,711,Y,0,S20 TF,3386,BRU,302,BMA,738,Y,0,AR1 TF,3386,BRU,302,CPH,609,Y,0,AR1 TF,3386,BRU,302,GOT,687,Y,0,AR1 TF,3386,CPH,609,BRU,302,Y,0,AR1 TF,3386,GOT,687,BMA,738,,0,AR8 AR1 TF,3386,GOT,687,BRU,302,Y,0,AR1 TF,3386,GSE,691,VBY,746,Y,0,AT7 TF,3386,HAD,709,BMA,738,Y,0,AT7 TF,3386,HEL,421,BMA,738,Y,0,ATR AT7 TF,3386,KLR,707,BMA,738,Y,0,S20 TF,3386,MMX,708,BMA,738,,0,AR8 AR1 TF,3386,MMX,708,VBY,746,Y,0,AT7 TF,3386,OSD,5593,BMA,738,,0,S20 TF,3386,RNB,685,BMA,738,Y,0,S20 TF,3386,SDL,721,BMA,738,Y,0,S20 TF,3386,TXL,351,UME,728,,0,AR1 TF,3386,UME,728,BMA,738,,0,AR1 AR8 TF,3386,UME,728,TXL,351,,0,AR1 TF,3386,VBY,746,BMA,738,Y,0,AT7 AR1 TF,3386,VBY,746,GSE,691,Y,0,AT7 TF,3386,VBY,746,MMX,708,Y,0,AT7 TF,3386,VXO,711,BMA,738,Y,0,S20 TG,4940,AKL,2006,BKK,3885,,0,777 TG,4940,ARN,737,BKK,3885,,0,773 TG,4940,ARN,737,LHR,507,Y,0,73W 736 TG,4940,ARN,737,MAN,478,Y,0,736 TG,4940,ARN,737,TKU,460,Y,0,AT7 TG,4940,ARN,737,TMP,458,Y,0,S20 TG,4940,ARN,737,VAA,462,Y,0,S20 TG,4940,BAH,2057,BKK,3885,Y,0,332 330 TG,4940,BGO,636,OSL,644,Y,0,73W TG,4940,BKK,3885,AKL,2006,,0,777 TG,4940,BKK,3885,ARN,737,,0,773 TG,4940,BKK,3885,BAH,2057,Y,0,332 330 TG,4940,BKK,3885,BLR,3131,,0,330 TG,4940,BKK,3885,BNE,3320,,0,773 TG,4940,BKK,3885,BOM,2997,,0,777 TG,4940,BKK,3885,BRU,302,,0,773 TG,4940,BKK,3885,BWN,3272,Y,0,319 320 TG,4940,BKK,3885,CAI,1128,,0,773 TG,4940,BKK,3885,CAN,3370,,0,330 TG,4940,BKK,3885,CCU,3043,,0,333 TG,4940,BKK,3885,CDG,1382,,0,380 TG,4940,BKK,3885,CEI,3932,,0,734 TG,4940,BKK,3885,CGK,3275,,0,330 TG,4940,BKK,3885,CKG,3393,,0,320 TG,4940,BKK,3885,CMB,3024,,0,320 TG,4940,BKK,3885,CNX,3931,,0,320 747 AB6 734 333 773 777 TG,4940,BKK,3885,CPH,609,,0,773 TG,4940,BKK,3885,CTS,2287,,0,773 TG,4940,BKK,3885,CTU,3395,,0,333 TG,4940,BKK,3885,DAC,3076,,0,777 TG,4940,BKK,3885,DEL,3093,,0,744 320 TG,4940,BKK,3885,DME,4029,,0,777 TG,4940,BKK,3885,DPS,3940,,0,777 TG,4940,BKK,3885,DXB,2188,,0,330 TG,4940,BKK,3885,FCO,1555,,0,744 TG,4940,BKK,3885,FRA,340,,0,380 346 TG,4940,BKK,3885,FUK,2305,,0,330 TG,4940,BKK,3885,HAN,3199,,0,333 330 TG,4940,BKK,3885,HDY,3181,,0,32S 320 TG,4940,BKK,3885,HKG,3077,,0,744 777 330 747 TG,4940,BKK,3885,HKT,3179,,0,744 333 AB6 773 747 320 330 TG,4940,BKK,3885,HND,2359,,0,744 TG,4940,BKK,3885,HYD,\N,,0,320 TG,4940,BKK,3885,ICN,3930,,0,773 777 TG,4940,BKK,3885,ISB,2223,,0,333 TG,4940,BKK,3885,IST,1701,Y,0,77W 330 TG,4940,BKK,3885,JNB,813,,0,777 TG,4940,BKK,3885,KBV,3174,,0,333 32S TG,4940,BKK,3885,KHI,2206,,0,333 TG,4940,BKK,3885,KIX,3992,,0,773 380 TG,4940,BKK,3885,KKC,3938,,0,32S AB6 TG,4940,BKK,3885,KMG,3382,,0,333 TG,4940,BKK,3885,KTM,3125,,0,777 TG,4940,BKK,3885,KUL,3304,,0,330 333 TG,4940,BKK,3885,LHE,2207,,0,333 TG,4940,BKK,3885,LHR,507,,0,747 346 TG,4940,BKK,3885,MAA,3144,,0,333 TG,4940,BKK,3885,MAD,1229,,0,777 TG,4940,BKK,3885,MEL,3339,,0,773 777 TG,4940,BKK,3885,MFM,3121,,0,320 TG,4940,BKK,3885,MNL,2397,,0,777 TG,4940,BKK,3885,MUC,346,,0,747 TG,4940,BKK,3885,MXP,1524,,0,744 TG,4940,BKK,3885,NGO,3942,,0,773 777 TG,4940,BKK,3885,NRT,2279,,0,380 330 TG,4940,BKK,3885,OSL,644,,0,773 TG,4940,BKK,3885,PEK,3364,,0,773 330 TG,4940,BKK,3885,PEN,3308,,0,734 TG,4940,BKK,3885,PER,3351,,0,330 TG,4940,BKK,3885,PNH,3034,,0,320 TG,4940,BKK,3885,PUS,2372,,0,330 TG,4940,BKK,3885,PVG,3406,,0,330 773 TG,4940,BKK,3885,RGN,3239,,0,330 AB6 333 TG,4940,BKK,3885,SGN,3205,,0,777 TG,4940,BKK,3885,SIN,3316,,0,773 777 TG,4940,BKK,3885,SYD,3361,,0,747 TG,4940,BKK,3885,TLV,1590,,0,767 763 744 TG,4940,BKK,3885,TNR,918,Y,0,343 TG,4940,BKK,3885,TPE,2276,,0,330 TG,4940,BKK,3885,UBP,3937,,0,32S TG,4940,BKK,3885,URT,4000,,0,32S TG,4940,BKK,3885,USM,3177,,0,734 TG,4940,BKK,3885,UTH,3183,,0,32S TG,4940,BKK,3885,VIE,1613,Y,0,772 TG,4940,BKK,3885,VTE,3120,,0,734 TG,4940,BKK,3885,XMN,3383,,0,333 TG,4940,BKK,3885,ZRH,1678,,0,346 TG,4940,BLR,3131,BKK,3885,,0,330 TG,4940,BNE,3320,BKK,3885,,0,773 TG,4940,BOM,2997,BKK,3885,,0,777 TG,4940,BRU,302,BKK,3885,,0,773 TG,4940,BRU,302,LIS,1638,,0,320 321 TG,4940,BWN,3272,BKK,3885,Y,0,319 320 TG,4940,CAI,1128,BKK,3885,,0,773 TG,4940,CAN,3370,BKK,3885,,0,330 TG,4940,CCU,3043,BKK,3885,,0,333 TG,4940,CDG,1382,BKK,3885,,0,380 TG,4940,CEI,3932,BKK,3885,,0,734 TG,4940,CGK,3275,BKK,3885,,0,330 TG,4940,CKG,3393,BKK,3885,,0,320 TG,4940,CMB,3024,BKK,3885,,0,320 TG,4940,CNX,3931,BKK,3885,,0,AB6 747 734 320 333 773 777 TG,4940,CNX,3931,HKT,3179,,0,320 TG,4940,CPH,609,BKK,3885,,0,773 TG,4940,CPH,609,MAN,478,Y,0,320 717 CR9 TG,4940,CPH,609,TRD,665,Y,0,CR9 TG,4940,CTS,2287,BKK,3885,,0,773 TG,4940,CTU,3395,BKK,3885,,0,333 TG,4940,DAC,3076,BKK,3885,,0,777 TG,4940,DEL,3093,BKK,3885,,0,320 744 TG,4940,DME,4029,BKK,3885,,0,777 TG,4940,DPS,3940,BKK,3885,,0,777 TG,4940,DXB,2188,BKK,3885,,0,330 TG,4940,FCO,1555,BKK,3885,,0,744 TG,4940,FRA,340,BKK,3885,,0,380 346 TG,4940,FUK,2305,BKK,3885,,0,330 TG,4940,HAN,3199,BKK,3885,,0,333 330 TG,4940,HDY,3181,BKK,3885,,0,32S 320 TG,4940,HKG,3077,AKL,2006,Y,0,772 TG,4940,HKG,3077,BKK,3885,,0,330 744 777 747 TG,4940,HKG,3077,HKT,3179,,0,330 TG,4940,HKG,3077,ICN,3930,,0,777 TG,4940,HKT,3179,BKK,3885,,0,333 744 330 AB6 773 747 320 TG,4940,HKT,3179,CNX,3931,,0,320 TG,4940,HKT,3179,HKG,3077,,0,330 TG,4940,HKT,3179,ICN,3930,,0,330 TG,4940,HKT,3179,KUL,3304,Y,0,738 TG,4940,HND,2359,BKK,3885,,0,744 TG,4940,HYD,\N,BKK,3885,,0,320 TG,4940,ICN,3930,BKK,3885,,0,777 773 TG,4940,ICN,3930,HKG,3077,,0,777 TG,4940,ICN,3930,HKT,3179,,0,330 TG,4940,ICN,3930,LAX,3484,,0,777 TG,4940,ICN,3930,TPE,2276,,0,330 TG,4940,ISB,2223,BKK,3885,,0,333 TG,4940,IST,1701,BKK,3885,Y,0,77W 330 TG,4940,JNB,813,BKK,3885,,0,777 TG,4940,KBV,3174,BKK,3885,,0,333 32S TG,4940,KHI,2206,BKK,3885,,0,333 TG,4940,KHI,2206,MCT,2194,,0,333 TG,4940,KIX,3992,BKK,3885,,0,773 380 TG,4940,KKC,3938,BKK,3885,,0,32S AB6 TG,4940,KMG,3382,BKK,3885,,0,333 TG,4940,KTM,3125,BKK,3885,,0,777 TG,4940,KUL,3304,BKK,3885,,0,333 330 TG,4940,KUL,3304,HKT,3179,Y,0,738 TG,4940,LAX,3484,ICN,3930,,0,777 TG,4940,LHE,2207,BKK,3885,,0,333 TG,4940,LHR,507,ARN,737,Y,0,73W 736 73H TG,4940,LHR,507,BKK,3885,,0,747 346 TG,4940,LIS,1638,BRU,302,,0,320 321 TG,4940,MAA,3144,BKK,3885,,0,333 TG,4940,MAD,1229,BKK,3885,,0,777 TG,4940,MAD,1229,OPO,1636,,0,ER4 TG,4940,MAN,478,ARN,737,Y,0,736 73H 717 TG,4940,MAN,478,CPH,609,Y,0,320 CR9 TG,4940,MCT,2194,KHI,2206,,0,333 TG,4940,MEL,3339,BKK,3885,,0,773 777 TG,4940,MFM,3121,BKK,3885,,0,320 TG,4940,MNL,2397,BKK,3885,,0,777 TG,4940,MUC,346,BKK,3885,,0,747 TG,4940,MXP,1524,BKK,3885,,0,744 TG,4940,NGO,3942,BKK,3885,,0,773 777 TG,4940,NRT,2279,BKK,3885,,0,330 380 TG,4940,OPO,1636,MAD,1229,,0,ER4 TG,4940,OSL,644,BKK,3885,,0,773 TG,4940,PEK,3364,BKK,3885,,0,330 773 TG,4940,PEN,3308,BKK,3885,,0,734 TG,4940,PER,3351,BKK,3885,,0,330 TG,4940,PNH,3034,BKK,3885,,0,320 TG,4940,PUS,2372,BKK,3885,,0,330 TG,4940,PVG,3406,BKK,3885,,0,330 773 TG,4940,RGN,3239,BKK,3885,,0,330 AB6 333 TG,4940,SGN,3205,BKK,3885,,0,777 TG,4940,SIN,3316,BKK,3885,,0,777 773 TG,4940,SVG,666,OSL,644,Y,0,736 738 73G TG,4940,SYD,3361,BKK,3885,,0,747 TG,4940,TKU,460,ARN,737,Y,0,AT7 TG,4940,TLV,1590,BKK,3885,,0,763 744 TG,4940,TMP,458,ARN,737,Y,0,S20 TG,4940,TNR,918,BKK,3885,Y,0,343 TG,4940,TPE,2276,BKK,3885,,0,330 TG,4940,TPE,2276,ICN,3930,,0,330 TG,4940,TRD,665,CPH,609,Y,0,CR9 TG,4940,UBP,3937,BKK,3885,,0,32S TG,4940,URT,4000,BKK,3885,,0,32S TG,4940,USM,3177,BKK,3885,,0,734 TG,4940,UTH,3183,BKK,3885,,0,32S TG,4940,VAA,462,ARN,737,Y,0,S20 TG,4940,VIE,1613,BKK,3885,Y,0,772 TG,4940,VTE,3120,BKK,3885,,0,734 TG,4940,XMN,3383,BKK,3885,,0,333 TG,4940,ZRH,1678,BKK,3885,,0,346 TJ,18529,ACK,3517,HPN,3589,,0,PL2 TJ,18529,ACK,3517,TEB,3624,,0,PL2 TJ,18529,ANU,2874,SBH,6460,,0,CNC PL2 TJ,18529,AXA,2900,SJU,2890,,0,PL2 TJ,18529,HPN,3589,ACK,3517,,0,PL2 TJ,18529,NEV,6079,SJU,2890,,0,PL2 TJ,18529,SBH,6460,ANU,2874,,0,CNC PL2 TJ,18529,SBH,6460,SJU,2890,,0,PL2 CNC TJ,18529,SBH,6460,STT,2883,,0,CNC PL2 TJ,18529,SJU,2890,AXA,2900,,0,PL2 TJ,18529,SJU,2890,NEV,6079,,0,PL2 TJ,18529,SJU,2890,SBH,6460,,0,PL2 TJ,18529,STT,2883,SBH,6460,,0,CNC PL2 TJ,18529,TEB,3624,ACK,3517,,0,PL2 TK,4951,AAL,628,BLL,608,,0,319 TK,4951,AAL,628,IST,1701,,0,319 738 TK,4951,ABJ,253,IST,1701,,0,739 TK,4951,ACC,248,ABJ,253,,0,739 TK,4951,ACC,248,IST,1701,,0,739 TK,4951,ADA,1685,ESB,1682,Y,0,73W 738 TK,4951,ADA,1685,IST,1701,,0,319 738 320 321 73W 739 TK,4951,ADA,1685,SAW,4317,Y,0,738 TK,4951,ADB,1706,ESB,1682,Y,0,738 73G TK,4951,ADB,1706,HAM,342,,0,320 TK,4951,ADB,1706,IST,1701,,0,320 738 330 319 739 321 343 73W 77W TK,4951,ADB,1706,SAW,4317,,0,738 320 TK,4951,ADD,1107,DLA,897,Y,0,763 TK,4951,ADD,1107,HRE,1005,Y,0,788 TK,4951,ADD,1107,IST,1701,,0,738 TK,4951,ADD,1107,JUB,1173,Y,0,73W DH8 TK,4951,ADD,1107,SSG,891,Y,0,763 TK,4951,ADE,3977,IST,1701,,0,738 TK,4951,ADF,5800,ESB,1682,Y,0,738 TK,4951,ADF,5800,IST,1701,,0,738 320 TK,4951,AER,2965,IST,1701,,0,321 TK,4951,AGP,1230,IST,1701,,0,738 TK,4951,AJI,5799,ESB,1682,Y,0,73W TK,4951,AJI,5799,IST,1701,,0,738 TK,4951,AKL,2006,BKK,3885,Y,0,777 TK,4951,ALA,2908,IST,1701,,0,738 320 TK,4951,ALG,210,IST,1701,,0,738 321 TK,4951,AMM,2170,IST,1701,,0,321 320 TK,4951,AMS,580,IST,1701,,0,343 321 320 330 TK,4951,AMS,580,SAW,4317,,0,738 TK,4951,AOE,6780,BRU,302,,0,738 TK,4951,AQJ,2172,IST,1701,,0,319 TK,4951,ARN,737,IST,1701,,0,738 321 TK,4951,ASB,2976,IST,1701,,0,321 TK,4951,ASF,2966,SAW,4317,,0,738 TK,4951,ASR,1696,IST,1701,,0,321 738 320 739 319 73W TK,4951,ASR,1696,SAW,4317,Y,0,73W TK,4951,ATH,3941,IST,1701,,0,321 738 320 TK,4951,ATL,3682,YYZ,193,Y,0,CRA TK,4951,AUH,2179,IST,1701,,0,321 738 TK,4951,AYT,1688,BGW,4130,,0,738 TK,4951,AYT,1688,EBL,3989,,0,738 TK,4951,AYT,1688,ESB,1682,Y,0,738 TK,4951,AYT,1688,HAM,342,,0,320 TK,4951,AYT,1688,IST,1701,,0,738 321 319 320 739 TK,4951,AYT,1688,SAW,4317,,0,738 TK,4951,AYT,1688,VKO,2988,,0,321 TK,4951,BAH,2057,IST,1701,,0,321 TK,4951,BAH,2057,MCT,2194,,0,321 TK,4951,BAL,1729,ESB,1682,Y,0,73W TK,4951,BAL,1729,IST,1701,,0,320 319 TK,4951,BCN,1218,IST,1701,,0,320 332 321 738 330 TK,4951,BEG,1739,IST,1701,,0,738 319 321 TK,4951,BEN,1154,IST,1701,,0,738 739 TK,4951,BEY,2177,IST,1701,,0,321 739 738 TK,4951,BGG,9272,ESB,1682,Y,0,738 TK,4951,BGG,9272,IST,1701,,0,319 TK,4951,BGW,4130,AYT,1688,,0,738 TK,4951,BGW,4130,ESB,1682,,0,738 TK,4951,BGW,4130,IST,1701,,0,738 TK,4951,BHX,469,IST,1701,,0,739 738 TK,4951,BIO,1216,IST,1701,,0,320 TK,4951,BIO,1216,SCQ,1243,,0,320 TK,4951,BJV,4315,ESB,1682,Y,0,73G TK,4951,BJV,4315,IST,1701,,0,738 321 320 TK,4951,BJV,4315,SAW,4317,,0,738 TK,4951,BKK,3885,AKL,2006,Y,0,777 TK,4951,BKK,3885,BNE,3320,Y,0,773 TK,4951,BKK,3885,HKG,3077,Y,0,747 TK,4951,BKK,3885,IST,1701,,0,77W 330 TK,4951,BKK,3885,KUL,3304,Y,0,330 TK,4951,BKK,3885,MEL,3339,Y,0,777 TK,4951,BKK,3885,PER,3351,Y,0,330 TK,4951,BKK,3885,SGN,3205,,0,77W TK,4951,BKK,3885,SYD,3361,Y,0,747 TK,4951,BLL,608,AAL,628,,0,319 738 TK,4951,BLL,608,IST,1701,,0,319 738 TK,4951,BLQ,1538,IST,1701,,0,320 321 TK,4951,BNE,3320,BKK,3885,Y,0,773 TK,4951,BOM,2997,IST,1701,,0,77W TK,4951,BRE,353,IST,1701,,0,320 TK,4951,BRU,302,AOE,6780,,0,738 TK,4951,BRU,302,IST,1701,,0,738 321 343 320 330 TK,4951,BRU,302,SAW,4317,,0,738 TK,4951,BSL,1423,IST,1701,,0,738 TK,4951,BSR,2234,IST,1701,,0,738 TK,4951,BUD,1489,IST,1701,,0,321 738 320 319 739 TK,4951,BUS,3971,IST,1701,,0,738 73W 319 TK,4951,CAI,1128,IST,1701,,0,320 738 321 739 319 TK,4951,CAI,1128,JUB,1173,Y,0,320 TK,4951,CAN,3370,IST,1701,,0,330 343 TK,4951,CDG,1382,IST,1701,,0,320 330 321 332 77W 738 TK,4951,CDG,1382,SAW,4317,,0,738 TK,4951,CGK,3275,SIN,3316,,0,330 TK,4951,CGN,344,IST,1701,,0,320 321 TK,4951,CKZ,6781,ESB,1682,Y,0,73G TK,4951,CMB,3024,MLE,3156,,0,330 TK,4951,CMN,1074,IST,1701,,0,330 332 343 TK,4951,CND,1651,IST,1701,,0,738 319 TK,4951,CPH,609,IST,1701,,0,738 321 TK,4951,CPT,797,JNB,813,,0,330 TK,4951,DAC,3076,IST,1701,,0,332 TK,4951,DAR,1177,IST,1701,,0,739 TK,4951,DEL,3093,IST,1701,,0,330 TK,4951,DIY,1722,ESB,1682,Y,0,738 TK,4951,DIY,1722,IST,1701,,0,319 738 321 320 73W TK,4951,DIY,1722,SAW,4317,Y,0,738 TK,4951,DKR,1084,IST,1701,,0,739 TK,4951,DLA,897,ADD,1107,Y,0,763 TK,4951,DLA,897,IST,1701,,0,739 TK,4951,DLA,897,LBV,970,,0,739 TK,4951,DLA,897,SSG,891,Y,0,763 TK,4951,DLM,1715,IST,1701,,0,320 321 738 TK,4951,DMM,2064,IST,1701,,0,321 TK,4951,DNK,2941,IST,1701,,0,319 TK,4951,DNZ,1699,IST,1701,,0,738 73W 320 319 TK,4951,DOH,11051,IST,1701,,0,321 738 TK,4951,DOK,2940,IST,1701,,0,319 73W 738 TK,4951,DUB,599,IST,1701,,0,738 TK,4951,DUS,345,IST,1701,,0,738 330 321 332 343 TK,4951,DUS,345,SAW,4317,,0,738 TK,4951,DXB,2188,IST,1701,,0,332 343 77W 321 TK,4951,DYU,2979,IST,1701,,0,321 TK,4951,EBB,1187,IST,1701,,0,739 TK,4951,EBL,3989,AYT,1688,,0,738 TK,4951,EBL,3989,IST,1701,,0,321 TK,4951,ECN,5780,ESB,1682,,0,738 TK,4951,ECN,5780,IST,1701,,0,738 321 320 TK,4951,ECN,5780,SAW,4317,,0,738 TK,4951,EDI,535,IST,1701,,0,738 739 TK,4951,ELQ,2067,IST,1701,,0,319 73W TK,4951,ERC,1723,ESB,1682,Y,0,73W TK,4951,ERC,1723,IST,1701,,0,320 738 TK,4951,ERZ,1724,ESB,1682,Y,0,738 TK,4951,ERZ,1724,IST,1701,,0,321 738 320 TK,4951,ERZ,1724,SAW,4317,Y,0,73W 738 TK,4951,ESB,1682,ADA,1685,Y,0,738 73W TK,4951,ESB,1682,ADB,1706,Y,0,738 73G TK,4951,ESB,1682,ADF,5800,Y,0,738 TK,4951,ESB,1682,AJI,5799,Y,0,73W TK,4951,ESB,1682,AYT,1688,Y,0,738 TK,4951,ESB,1682,BAL,1729,Y,0,73W TK,4951,ESB,1682,BGG,9272,Y,0,738 TK,4951,ESB,1682,BGW,4130,,0,738 TK,4951,ESB,1682,BJV,4315,Y,0,73G TK,4951,ESB,1682,CKZ,6781,Y,0,73G TK,4951,ESB,1682,DIY,1722,Y,0,738 TK,4951,ESB,1682,ECN,5780,,0,738 TK,4951,ESB,1682,ERC,1723,Y,0,73W TK,4951,ESB,1682,ERZ,1724,Y,0,738 TK,4951,ESB,1682,EZS,1721,Y,0,738 TK,4951,ESB,1682,FRA,340,,0,738 TK,4951,ESB,1682,GNY,9044,Y,0,73W 738 TK,4951,ESB,1682,GZP,8266,Y,0,73G TK,4951,ESB,1682,GZT,1689,Y,0,73W 738 73G TK,4951,ESB,1682,HTY,7453,Y,0,738 TK,4951,ESB,1682,IGD,9043,Y,0,738 TK,4951,ESB,1682,IST,1701,,0,738 320 739 330 321 319 343 TK,4951,ESB,1682,KCM,5798,Y,0,738 TK,4951,ESB,1682,KCO,\N,Y,0,73W TK,4951,ESB,1682,KSY,5796,Y,0,738 TK,4951,ESB,1682,MLX,1692,Y,0,73W TK,4951,ESB,1682,MQM,6753,Y,0,738 TK,4951,ESB,1682,MSR,6782,Y,0,738 TK,4951,ESB,1682,SAW,4317,,0,738 TK,4951,ESB,1682,TEQ,6784,Y,0,73W TK,4951,ESB,1682,TZX,1726,Y,0,738 TK,4951,ESB,1682,VAN,1728,Y,0,738 TK,4951,ESB,1682,VIE,1613,,0,738 TK,4951,ESB,1682,VKO,2988,,0,738 TK,4951,EZE,3988,GRU,2564,,0,343 TK,4951,EZS,1721,ESB,1682,Y,0,738 TK,4951,EZS,1721,IST,1701,,0,320 TK,4951,EZS,1721,SAW,4317,Y,0,73W TK,4951,FCO,1555,IST,1701,,0,320 321 319 TK,4951,FDH,382,IST,1701,,0,738 TK,4951,FIH,1020,IST,1701,,0,739 TK,4951,FRA,340,ESB,1682,,0,738 TK,4951,FRA,340,IST,1701,,0,320 330 321 343 332 TK,4951,FRA,340,SAW,4317,,0,738 TK,4951,FRU,2912,IST,1701,,0,738 33X TK,4951,FRU,2912,ULN,3380,,0,738 TK,4951,FUK,2305,ICN,3930,Y,0,321 763 TK,4951,GNY,9044,ESB,1682,Y,0,73W 738 TK,4951,GNY,9044,IST,1701,,0,320 TK,4951,GOA,1528,IST,1701,,0,738 739 330 TK,4951,GOT,687,IST,1701,,0,739 738 TK,4951,GRU,2564,EZE,3988,,0,343 TK,4951,GRU,2564,IST,1701,,0,343 TK,4951,GVA,1665,IST,1701,,0,320 738 321 TK,4951,GYD,2922,IST,1701,,0,321 738 320 TK,4951,GZP,8266,ESB,1682,Y,0,73G TK,4951,GZT,1689,ESB,1682,Y,0,73G 73W 738 TK,4951,GZT,1689,IST,1701,,0,320 738 319 321 73W TK,4951,GZT,1689,SAW,4317,Y,0,73G TK,4951,HAJ,352,IST,1701,,0,321 739 738 TK,4951,HAM,342,ADB,1706,,0,320 TK,4951,HAM,342,AYT,1688,,0,320 TK,4951,HAM,342,IST,1701,,0,320 321 738 TK,4951,HBE,3410,IST,1701,,0,73W 319 TK,4951,HEL,421,IST,1701,,0,321 TK,4951,HIJ,2326,ICN,3930,,0,321 TK,4951,HKG,3077,BKK,3885,Y,0,330 TK,4951,HKG,3077,IST,1701,,0,77W TK,4951,HRE,1005,LUN,907,Y,0,788 TK,4951,HRG,1130,IST,1701,,0,738 320 TK,4951,HTY,7453,ESB,1682,Y,0,738 TK,4951,HTY,7453,IST,1701,,0,73W 738 320 321 TK,4951,HTY,7453,SAW,4317,Y,0,73W TK,4951,IAD,3714,IST,1701,,0,330 TK,4951,IAH,3550,IST,1701,,0,77W TK,4951,IAH,3550,MSY,3861,Y,0,320 TK,4951,ICN,3930,FUK,2305,Y,0,333 77L TK,4951,ICN,3930,HIJ,2326,,0,321 TK,4951,ICN,3930,IST,1701,,0,343 330 TK,4951,ICN,3930,NGO,3942,Y,0,321 763 TK,4951,ICN,3930,SYD,3361,Y,0,772 TK,4951,ICN,3930,VVO,2934,,0,321 TK,4951,IFN,2121,IST,1701,,0,738 TK,4951,IGD,9043,ESB,1682,Y,0,738 TK,4951,IGD,9043,IST,1701,,0,320 TK,4951,IKA,4330,IST,1701,,0,332 321 738 739 TK,4951,IKA,4330,SAW,4317,,0,738 TK,4951,ISB,2223,IST,1701,,0,738 TK,4951,ISE,5801,IST,1701,,0,738 73W 319 TK,4951,IST,1701,AAL,628,,0,319 738 TK,4951,IST,1701,ACC,248,,0,739 TK,4951,IST,1701,ADA,1685,,0,319 320 738 321 73W 739 TK,4951,IST,1701,ADB,1706,,0,320 738 330 319 739 321 343 73W 77W TK,4951,IST,1701,ADD,1107,,0,738 TK,4951,IST,1701,ADF,5800,,0,738 320 TK,4951,IST,1701,AER,2965,,0,321 TK,4951,IST,1701,AGP,1230,,0,738 TK,4951,IST,1701,AJI,5799,,0,738 TK,4951,IST,1701,ALA,2908,,0,738 320 TK,4951,IST,1701,ALG,210,,0,321 738 TK,4951,IST,1701,AMM,2170,,0,321 320 TK,4951,IST,1701,AMS,580,,0,343 321 320 330 TK,4951,IST,1701,AQJ,2172,,0,319 TK,4951,IST,1701,ARN,737,,0,321 738 TK,4951,IST,1701,ASB,2976,,0,321 TK,4951,IST,1701,ASR,1696,,0,321 738 320 739 319 73W TK,4951,IST,1701,ATH,3941,,0,321 738 320 TK,4951,IST,1701,AUH,2179,,0,738 321 TK,4951,IST,1701,AYT,1688,,0,738 319 321 320 739 TK,4951,IST,1701,BAH,2057,,0,321 TK,4951,IST,1701,BAL,1729,,0,320 319 TK,4951,IST,1701,BCN,1218,,0,332 321 738 320 330 TK,4951,IST,1701,BEG,1739,,0,738 319 321 TK,4951,IST,1701,BEN,1154,,0,738 739 TK,4951,IST,1701,BEY,2177,,0,321 739 738 TK,4951,IST,1701,BGG,9272,,0,319 TK,4951,IST,1701,BGW,4130,,0,738 TK,4951,IST,1701,BHX,469,,0,739 738 TK,4951,IST,1701,BIO,1216,,0,320 TK,4951,IST,1701,BJV,4315,,0,738 321 320 TK,4951,IST,1701,BKK,3885,,0,77W 330 TK,4951,IST,1701,BLL,608,,0,319 738 TK,4951,IST,1701,BLQ,1538,,0,320 321 TK,4951,IST,1701,BOM,2997,,0,77W TK,4951,IST,1701,BRE,353,,0,320 TK,4951,IST,1701,BRU,302,,0,738 321 343 320 330 TK,4951,IST,1701,BSL,1423,,0,738 TK,4951,IST,1701,BSR,2234,,0,738 TK,4951,IST,1701,BUD,1489,,0,321 738 320 319 739 TK,4951,IST,1701,BUS,3971,,0,738 73W 319 TK,4951,IST,1701,CAI,1128,,0,320 738 321 739 319 TK,4951,IST,1701,CAN,3370,,0,330 343 TK,4951,IST,1701,CDG,1382,,0,330 321 320 332 77W 738 TK,4951,IST,1701,CGN,344,,0,320 321 TK,4951,IST,1701,CMN,1074,,0,330 332 343 TK,4951,IST,1701,CND,1651,,0,738 319 TK,4951,IST,1701,CPH,609,,0,321 738 TK,4951,IST,1701,DAC,3076,,0,332 TK,4951,IST,1701,DAR,1177,,0,739 TK,4951,IST,1701,DEL,3093,,0,330 TK,4951,IST,1701,DIY,1722,,0,319 738 321 320 73W TK,4951,IST,1701,DLA,897,,0,739 TK,4951,IST,1701,DLM,1715,,0,320 321 738 TK,4951,IST,1701,DMM,2064,,0,321 TK,4951,IST,1701,DNK,2941,,0,319 TK,4951,IST,1701,DNZ,1699,,0,738 73W 320 319 TK,4951,IST,1701,DOH,11051,,0,738 321 TK,4951,IST,1701,DOK,2940,,0,319 73W 738 TK,4951,IST,1701,DUB,599,,0,738 TK,4951,IST,1701,DUS,345,,0,330 321 332 738 343 TK,4951,IST,1701,DXB,2188,,0,77W 321 343 332 330 TK,4951,IST,1701,DYU,2979,,0,321 TK,4951,IST,1701,EBL,3989,,0,321 TK,4951,IST,1701,ECN,5780,,0,321 738 320 TK,4951,IST,1701,EDI,535,,0,738 739 TK,4951,IST,1701,ELQ,2067,,0,319 73W TK,4951,IST,1701,ERC,1723,,0,320 738 TK,4951,IST,1701,ERZ,1724,,0,321 738 320 TK,4951,IST,1701,ESB,1682,,0,738 320 330 739 321 319 343 TK,4951,IST,1701,EZS,1721,,0,320 TK,4951,IST,1701,FCO,1555,,0,321 320 319 TK,4951,IST,1701,FDH,382,,0,738 TK,4951,IST,1701,FIH,1020,,0,739 TK,4951,IST,1701,FRA,340,,0,320 330 321 343 332 TK,4951,IST,1701,FRU,2912,,0,738 33X TK,4951,IST,1701,GNY,9044,,0,320 TK,4951,IST,1701,GOA,1528,,0,738 739 330 TK,4951,IST,1701,GOT,687,,0,739 738 TK,4951,IST,1701,GRU,2564,,0,343 TK,4951,IST,1701,GVA,1665,,0,738 321 320 TK,4951,IST,1701,GYD,2922,,0,321 738 320 TK,4951,IST,1701,GZT,1689,,0,320 738 319 321 73W TK,4951,IST,1701,HAJ,352,,0,321 739 738 TK,4951,IST,1701,HAM,342,,0,321 320 738 TK,4951,IST,1701,HBE,3410,,0,73W 319 TK,4951,IST,1701,HEL,421,,0,321 TK,4951,IST,1701,HKG,3077,,0,77W TK,4951,IST,1701,HRG,1130,,0,738 320 TK,4951,IST,1701,HTY,7453,,0,73W 738 320 321 TK,4951,IST,1701,IAD,3714,,0,330 TK,4951,IST,1701,IAH,3550,,0,77W TK,4951,IST,1701,ICN,3930,,0,343 330 TK,4951,IST,1701,IFN,2121,,0,738 TK,4951,IST,1701,IGD,9043,,0,320 TK,4951,IST,1701,IKA,4330,,0,321 738 332 739 343 TK,4951,IST,1701,ISB,2223,,0,738 TK,4951,IST,1701,ISE,5801,,0,738 73W 319 TK,4951,IST,1701,ISU,5952,,0,321 738 739 TK,4951,IST,1701,JED,2072,,0,321 330 332 TK,4951,IST,1701,JFK,3797,,0,330 77W TK,4951,IST,1701,JIB,4119,,0,320 TK,4951,IST,1701,JNB,813,,0,330 TK,4951,IST,1701,JRO,1180,,0,739 TK,4951,IST,1701,KAN,270,,0,738 739 TK,4951,IST,1701,KBL,2050,,0,332 TK,4951,IST,1701,KBP,2939,,0,321 TK,4951,IST,1701,KCM,5798,,0,319 TK,4951,IST,1701,KFS,9273,,0,319 738 TK,4951,IST,1701,KGL,1165,,0,739 TK,4951,IST,1701,KHI,2206,,0,738 TK,4951,IST,1701,KIV,1735,,0,319 73W TK,4951,IST,1701,KIX,3992,,0,330 TK,4951,IST,1701,KRT,1175,,0,738 TK,4951,IST,1701,KSH,2114,,0,319 320 TK,4951,IST,1701,KSY,5796,,0,319 738 TK,4951,IST,1701,KTM,3125,,0,332 330 TK,4951,IST,1701,KUL,3304,,0,330 TK,4951,IST,1701,KVD,6089,,0,738 319 TK,4951,IST,1701,KWI,2176,,0,332 321 343 TK,4951,IST,1701,KYA,1691,,0,319 320 738 TK,4951,IST,1701,KZN,2990,,0,738 319 TK,4951,IST,1701,KZR,9045,,0,319 738 TK,4951,IST,1701,LAX,3484,,0,77W TK,4951,IST,1701,LED,2948,,0,321 738 TK,4951,IST,1701,LEJ,348,,0,320 TK,4951,IST,1701,LGW,502,,0,739 321 738 TK,4951,IST,1701,LHE,2207,,0,738 TK,4951,IST,1701,LHR,507,,0,77W 321 TK,4951,IST,1701,LIS,1638,,0,321 738 TK,4951,IST,1701,LJU,1569,,0,CR9 319 TK,4951,IST,1701,LOS,273,,0,739 TK,4951,IST,1701,LUX,629,,0,73W 739 738 TK,4951,IST,1701,LWO,2945,,0,738 739 TK,4951,IST,1701,LYS,1335,,0,738 321 330 TK,4951,IST,1701,MAD,1229,,0,332 738 739 321 TK,4951,IST,1701,MAN,478,,0,321 TK,4951,IST,1701,MCT,2194,,0,739 738 TK,4951,IST,1701,MED,2074,,0,321 343 330 332 TK,4951,IST,1701,MHD,4331,,0,319 73W TK,4951,IST,1701,MLA,1606,,0,319 738 TK,4951,IST,1701,MLE,3156,,0,330 TK,4951,IST,1701,MLX,1692,,0,738 320 319 TK,4951,IST,1701,MQM,6753,,0,320 TK,4951,IST,1701,MRA,5804,,0,319 TK,4951,IST,1701,MRS,1353,,0,738 321 319 TK,4951,IST,1701,MSQ,2954,,0,320 TK,4951,IST,1701,MSR,6782,,0,320 TK,4951,IST,1701,MUC,346,,0,321 320 738 TK,4951,IST,1701,MXP,1524,,0,321 739 320 TK,4951,IST,1701,MZH,1693,,0,320 TK,4951,IST,1701,MZR,2053,,0,320 738 TK,4951,IST,1701,NAJ,6090,,0,319 TK,4951,IST,1701,NAP,1561,,0,738 TK,4951,IST,1701,NAV,3987,,0,738 320 319 TK,4951,IST,1701,NBO,4059,,0,738 TK,4951,IST,1701,NCE,1354,,0,320 738 321 TK,4951,IST,1701,NIM,280,,0,739 738 TK,4951,IST,1701,NJF,7490,,0,738 TK,4951,IST,1701,NOP,\N,,0,319 320 TK,4951,IST,1701,NRT,2279,,0,330 77W TK,4951,IST,1701,NSI,4161,,0,739 TK,4951,IST,1701,NUE,347,,0,320 738 TK,4951,IST,1701,ODS,2947,,0,738 739 TK,4951,IST,1701,ORD,3830,,0,330 TK,4951,IST,1701,ORN,231,,0,738 TK,4951,IST,1701,OSL,644,,0,321 738 TK,4951,IST,1701,OSM,\N,,0,73W TK,4951,IST,1701,OSS,2913,,0,319 TK,4951,IST,1701,OTP,1657,,0,738 319 320 321 TK,4951,IST,1701,OVB,4078,,0,738 TK,4951,IST,1701,PEK,3364,,0,77W TK,4951,IST,1701,PRG,1587,,0,738 321 320 TK,4951,IST,1701,PRN,1742,,0,320 73W 319 738 TK,4951,IST,1701,PVG,3406,,0,77W TK,4951,IST,1701,RIX,3953,,0,320 TK,4951,IST,1701,ROV,2964,,0,319 TK,4951,IST,1701,RTM,591,,0,320 TK,4951,IST,1701,RUH,2082,,0,321 332 TK,4951,IST,1701,SAH,3980,,0,738 TK,4951,IST,1701,SIN,3316,,0,330 TK,4951,IST,1701,SJJ,1646,,0,320 738 321 TK,4951,IST,1701,SKG,1486,,0,738 TK,4951,IST,1701,SKP,1737,,0,319 TK,4951,IST,1701,SOF,1194,,0,738 320 TK,4951,IST,1701,SSH,4057,,0,738 319 TK,4951,IST,1701,STR,350,,0,320 321 TK,4951,IST,1701,SVX,2975,,0,321 TK,4951,IST,1701,SYZ,2157,,0,320 319 TK,4951,IST,1701,SZG,1612,,0,320 TK,4951,IST,1701,TAS,2983,,0,321 TK,4951,IST,1701,TBS,3973,,0,319 73W 738 320 TK,4951,IST,1701,TBZ,2162,,0,738 319 TK,4951,IST,1701,TGD,1741,,0,319 TK,4951,IST,1701,TIA,1190,,0,319 TK,4951,IST,1701,TIF,2090,,0,319 TK,4951,IST,1701,TIP,1157,,0,320 738 TK,4951,IST,1701,TLL,415,,0,319 TK,4951,IST,1701,TLS,1273,,0,320 321 TK,4951,IST,1701,TLV,1590,,0,321 738 320 330 332 739 319 TK,4951,IST,1701,TRN,1526,,0,73W 738 319 320 TK,4951,IST,1701,TSE,2910,,0,738 320 TK,4951,IST,1701,TUN,287,,0,739 321 738 TK,4951,IST,1701,TXL,351,,0,738 320 321 TK,4951,IST,1701,TZX,1726,,0,320 321 319 738 73W TK,4951,IST,1701,UFA,2992,,0,319 TK,4951,IST,1701,VAN,1728,,0,320 319 73W TK,4951,IST,1701,VAS,1694,,0,320 319 TK,4951,IST,1701,VCE,1551,,0,321 739 738 320 319 TK,4951,IST,1701,VIE,1613,,0,321 738 330 320 TK,4951,IST,1701,VKO,2988,,0,321 738 TK,4951,IST,1701,VLC,1246,,0,738 TK,4951,IST,1701,VNO,3959,,0,319 TK,4951,IST,1701,WAW,679,,0,321 TK,4951,IST,1701,YNB,2096,,0,320 321 TK,4951,IST,1701,YYZ,193,,0,763 77W TK,4951,IST,1701,ZAG,1208,,0,739 319 320 738 TK,4951,IST,1701,ZRH,1678,,0,321 320 738 TK,4951,ISU,5952,IST,1701,,0,321 738 739 TK,4951,JED,2072,IST,1701,,0,321 330 332 TK,4951,JFK,3797,IST,1701,,0,330 77W TK,4951,JIB,4119,IST,1701,,0,320 TK,4951,JIB,4119,MGQ,5687,,0,320 TK,4951,JNB,813,CPT,797,,0,330 TK,4951,JNB,813,IST,1701,,0,330 TK,4951,JRO,1180,MBA,1145,,0,739 TK,4951,JUB,1173,ADD,1107,Y,0,73W DH8 TK,4951,JUB,1173,CAI,1128,Y,0,320 TK,4951,KAN,270,NDJ,999,,0,738 TK,4951,KBL,2050,IST,1701,,0,332 TK,4951,KBP,2939,IST,1701,,0,321 TK,4951,KBP,2939,SAW,4317,,0,738 TK,4951,KCM,5798,ESB,1682,Y,0,738 TK,4951,KCM,5798,IST,1701,,0,319 TK,4951,KCO,\N,ESB,1682,Y,0,73W TK,4951,KFS,9273,IST,1701,,0,319 738 TK,4951,KGL,1165,EBB,1187,,0,739 TK,4951,KHI,2206,IST,1701,,0,738 TK,4951,KIV,1735,IST,1701,,0,319 73W TK,4951,KIX,3992,IST,1701,,0,330 TK,4951,KRT,1175,IST,1701,,0,738 TK,4951,KSH,2114,IST,1701,,0,320 319 TK,4951,KSY,5796,ESB,1682,Y,0,738 TK,4951,KSY,5796,IST,1701,,0,319 738 TK,4951,KSY,5796,SAW,4317,Y,0,738 TK,4951,KTM,3125,IST,1701,,0,330 332 TK,4951,KUL,3304,BKK,3885,Y,0,330 TK,4951,KUL,3304,IST,1701,,0,330 TK,4951,KVD,6089,IST,1701,,0,319 738 TK,4951,KWI,2176,IST,1701,,0,321 332 343 TK,4951,KWI,2176,SAW,4317,,0,738 TK,4951,KYA,1691,IST,1701,,0,319 320 738 TK,4951,KYA,1691,SAW,4317,Y,0,73W TK,4951,KZN,2990,IST,1701,,0,319 738 TK,4951,KZR,9045,IST,1701,,0,319 738 TK,4951,LAX,3484,IST,1701,,0,77W TK,4951,LBV,970,IST,1701,,0,739 TK,4951,LED,2948,IST,1701,,0,321 738 TK,4951,LEJ,348,IST,1701,,0,320 TK,4951,LGW,502,IST,1701,,0,739 321 738 TK,4951,LGW,502,SAW,4317,,0,738 TK,4951,LHE,2207,IST,1701,,0,738 TK,4951,LHR,507,IST,1701,,0,321 77W TK,4951,LIS,1638,IST,1701,,0,321 738 TK,4951,LJU,1569,IST,1701,,0,319 CR9 TK,4951,LOS,273,IST,1701,,0,739 TK,4951,LUX,629,IST,1701,,0,73W 739 738 TK,4951,LWO,2945,IST,1701,,0,738 739 TK,4951,LYS,1335,IST,1701,,0,738 321 330 TK,4951,MAD,1229,IST,1701,,0,332 738 739 321 TK,4951,MAN,478,IST,1701,,0,321 TK,4951,MBA,1145,IST,1701,,0,739 TK,4951,MCT,2194,BAH,2057,,0,321 TK,4951,MCT,2194,IST,1701,,0,739 738 TK,4951,MED,2074,IST,1701,,0,321 343 330 332 TK,4951,MEL,3339,BKK,3885,Y,0,773 777 TK,4951,MGQ,5687,JIB,4119,,0,320 TK,4951,MHD,4331,IST,1701,,0,319 73W TK,4951,MLA,1606,IST,1701,,0,319 738 TK,4951,MLA,1606,SAW,4317,Y,0,320 TK,4951,MLE,3156,CMB,3024,,0,330 TK,4951,MLE,3156,IST,1701,,0,330 TK,4951,MLX,1692,ESB,1682,Y,0,73W TK,4951,MLX,1692,IST,1701,,0,738 320 319 TK,4951,MQM,6753,ESB,1682,Y,0,738 TK,4951,MQM,6753,IST,1701,,0,320 TK,4951,MQM,6753,SAW,4317,Y,0,738 TK,4951,MRA,5804,IST,1701,,0,319 TK,4951,MRS,1353,IST,1701,,0,738 321 319 TK,4951,MSQ,2954,IST,1701,,0,320 TK,4951,MSR,6782,ESB,1682,Y,0,738 TK,4951,MSR,6782,IST,1701,,0,320 TK,4951,MSY,3861,IAH,3550,Y,0,73G 738 TK,4951,MUC,346,IST,1701,,0,320 321 738 TK,4951,MUC,346,SAW,4317,,0,738 TK,4951,MXP,1524,IST,1701,,0,320 321 739 TK,4951,MXP,1524,SAW,4317,,0,738 TK,4951,MZH,1693,IST,1701,,0,320 TK,4951,MZR,2053,IST,1701,,0,320 738 TK,4951,NAJ,6090,KVD,6089,,0,319 TK,4951,NAP,1561,IST,1701,,0,738 TK,4951,NAV,3987,IST,1701,,0,738 320 319 TK,4951,NBO,4059,IST,1701,,0,738 TK,4951,NCE,1354,IST,1701,,0,320 738 321 TK,4951,NDJ,999,IST,1701,,0,738 739 TK,4951,NGO,3942,ICN,3930,Y,0,321 TK,4951,NIM,280,OUA,246,,0,739 TK,4951,NJF,7490,IST,1701,,0,738 TK,4951,NKC,1094,DKR,1084,,0,739 TK,4951,NOP,\N,IST,1701,,0,319 320 TK,4951,NRT,2279,IST,1701,,0,77W 330 TK,4951,NSI,4161,DLA,897,,0,739 TK,4951,NUE,347,IST,1701,,0,320 738 TK,4951,ODS,2947,IST,1701,,0,738 739 TK,4951,ORD,3830,IST,1701,,0,330 TK,4951,ORN,231,IST,1701,,0,738 TK,4951,OSL,644,IST,1701,,0,321 738 TK,4951,OSM,\N,IST,1701,,0,73W TK,4951,OSS,2913,IST,1701,,0,319 TK,4951,OTP,1657,IST,1701,,0,320 738 319 321 TK,4951,OUA,246,IST,1701,,0,739 738 TK,4951,OVB,4078,IST,1701,,0,738 TK,4951,PEK,3364,IST,1701,,0,77W TK,4951,PER,3351,BKK,3885,Y,0,330 TK,4951,PRG,1587,IST,1701,,0,738 321 320 TK,4951,PRN,1742,IST,1701,,0,320 73W 319 738 TK,4951,PVG,3406,IST,1701,,0,77W TK,4951,RIX,3953,IST,1701,,0,320 TK,4951,ROV,2964,IST,1701,,0,319 TK,4951,RTM,591,IST,1701,,0,320 TK,4951,RUH,2082,IST,1701,,0,330 321 332 TK,4951,SAH,3980,ADE,3977,,0,738 TK,4951,SAW,4317,ADA,1685,Y,0,738 TK,4951,SAW,4317,ADB,1706,,0,738 320 TK,4951,SAW,4317,AMS,580,,0,738 TK,4951,SAW,4317,ASF,2966,,0,738 TK,4951,SAW,4317,ASR,1696,Y,0,73W TK,4951,SAW,4317,AYT,1688,,0,738 TK,4951,SAW,4317,BJV,4315,,0,738 TK,4951,SAW,4317,BRU,302,,0,738 TK,4951,SAW,4317,CDG,1382,,0,738 TK,4951,SAW,4317,DIY,1722,Y,0,738 TK,4951,SAW,4317,DUS,345,,0,738 TK,4951,SAW,4317,ECN,5780,,0,738 TK,4951,SAW,4317,ERZ,1724,Y,0,73W 738 TK,4951,SAW,4317,ESB,1682,,0,738 TK,4951,SAW,4317,EZS,1721,Y,0,73W TK,4951,SAW,4317,FRA,340,,0,738 TK,4951,SAW,4317,GZT,1689,Y,0,73G TK,4951,SAW,4317,HTY,7453,Y,0,73W TK,4951,SAW,4317,IKA,4330,,0,738 TK,4951,SAW,4317,KBP,2939,,0,738 TK,4951,SAW,4317,KSY,5796,Y,0,738 TK,4951,SAW,4317,KWI,2176,,0,738 TK,4951,SAW,4317,KYA,1691,Y,0,73W TK,4951,SAW,4317,LGW,502,,0,738 TK,4951,SAW,4317,MLA,1606,Y,0,320 TK,4951,SAW,4317,MQM,6753,Y,0,738 TK,4951,SAW,4317,MUC,346,,0,738 TK,4951,SAW,4317,MXP,1524,,0,738 TK,4951,SAW,4317,SJJ,1646,,0,738 TK,4951,SAW,4317,STW,2963,,0,320 TK,4951,SAW,4317,TBS,3973,,0,738 TK,4951,SAW,4317,TLV,1590,,0,738 TK,4951,SAW,4317,TZX,1726,Y,0,738 TK,4951,SAW,4317,VAN,1728,Y,0,738 TK,4951,SAW,4317,VAS,1694,Y,0,738 TK,4951,SAW,4317,VIE,1613,,0,738 TK,4951,SCQ,1243,BIO,1216,,0,320 TK,4951,SGN,3205,BKK,3885,,0,77W TK,4951,SIN,3316,CGK,3275,,0,330 TK,4951,SIN,3316,IST,1701,,0,330 TK,4951,SJJ,1646,IST,1701,,0,320 738 321 TK,4951,SJJ,1646,SAW,4317,,0,738 TK,4951,SKG,1486,IST,1701,,0,738 TK,4951,SKP,1737,IST,1701,,0,319 TK,4951,SOF,1194,IST,1701,,0,738 320 TK,4951,SSG,891,ADD,1107,Y,0,763 TK,4951,SSG,891,DLA,897,Y,0,763 TK,4951,SSH,4057,IST,1701,,0,738 319 TK,4951,STR,350,IST,1701,,0,320 321 TK,4951,STW,2963,SAW,4317,,0,320 TK,4951,SVX,2975,IST,1701,,0,321 TK,4951,SYD,3361,BKK,3885,Y,0,747 TK,4951,SYD,3361,ICN,3930,Y,0,772 TK,4951,SYZ,2157,IST,1701,,0,320 319 TK,4951,SZG,1612,IST,1701,,0,320 TK,4951,TAS,2983,IST,1701,,0,321 TK,4951,TBS,3973,IST,1701,,0,319 73W 738 320 TK,4951,TBS,3973,SAW,4317,,0,738 TK,4951,TBZ,2162,IST,1701,,0,738 319 TK,4951,TEQ,6784,ESB,1682,Y,0,73W TK,4951,TGD,1741,IST,1701,,0,319 TK,4951,TIA,1190,IST,1701,,0,319 TK,4951,TIF,2090,IST,1701,,0,319 TK,4951,TIP,1157,IST,1701,,0,320 738 TK,4951,TIP,1157,TUN,287,,0,33X TK,4951,TLL,415,IST,1701,,0,319 TK,4951,TLL,415,VNO,3959,,0,319 TK,4951,TLS,1273,IST,1701,,0,320 321 TK,4951,TLV,1590,IST,1701,,0,738 321 320 330 332 739 319 TK,4951,TLV,1590,SAW,4317,,0,738 TK,4951,TRN,1526,IST,1701,,0,73W 738 319 320 TK,4951,TSE,2910,IST,1701,,0,320 738 TK,4951,TUN,287,IST,1701,,0,739 321 738 TK,4951,TXL,351,IST,1701,,0,320 738 321 TK,4951,TZX,1726,ESB,1682,Y,0,738 TK,4951,TZX,1726,IST,1701,,0,73W 320 321 319 738 TK,4951,TZX,1726,SAW,4317,Y,0,738 TK,4951,UFA,2992,IST,1701,,0,319 TK,4951,ULN,3380,FRU,2912,,0,738 TK,4951,VAN,1728,ESB,1682,Y,0,738 TK,4951,VAN,1728,IST,1701,,0,320 319 73W TK,4951,VAN,1728,SAW,4317,Y,0,738 TK,4951,VAS,1694,IST,1701,,0,320 319 TK,4951,VAS,1694,SAW,4317,Y,0,738 TK,4951,VCE,1551,IST,1701,,0,321 739 738 320 319 TK,4951,VIE,1613,ESB,1682,,0,738 TK,4951,VIE,1613,IST,1701,,0,738 321 330 320 TK,4951,VIE,1613,SAW,4317,,0,738 TK,4951,VKO,2988,AYT,1688,,0,321 TK,4951,VKO,2988,ESB,1682,,0,738 TK,4951,VKO,2988,IST,1701,,0,738 321 TK,4951,VLC,1246,IST,1701,,0,738 TK,4951,VNO,3959,IST,1701,,0,319 TK,4951,VNO,3959,TLL,415,,0,319 TK,4951,VVO,2934,ICN,3930,,0,321 TK,4951,WAW,679,IST,1701,,0,321 TK,4951,YNB,2096,IST,1701,,0,320 321 TK,4951,YYZ,193,ATL,3682,Y,0,CRA TK,4951,YYZ,193,IST,1701,,0,77W 763 TK,4951,ZAG,1208,IST,1701,,0,739 319 320 738 TK,4951,ZRH,1678,IST,1701,,0,320 321 738 TL,338,BME,4319,DRW,3999,,0,E70 TL,338,BME,4319,KNX,3347,,0,E70 TL,338,BME,4319,KTA,3345,,0,E70 TL,338,DIL,3310,DRW,3999,,0,E70 TL,338,DRW,3999,BME,4319,,0,E70 TL,338,DRW,3999,DIL,3310,,0,E70 TL,338,DRW,3999,GOV,6316,,0,EM2 TL,338,DRW,3999,GTE,6270,,0,EM2 TL,338,DRW,3999,ISA,3324,,0,E70 TL,338,DRW,3999,KNX,3347,,0,E70 TL,338,DRW,3999,MCV,6297,,0,E70 TL,338,DRW,3999,MNG,6296,,0,EM2 TL,338,DRW,3999,TSV,3330,,0,E70 TL,338,ELC,6265,MNG,6296,,0,EM2 TL,338,GOV,6316,DRW,3999,,0,EM2 TL,338,GOV,6316,GTE,6270,,0,EM2 TL,338,GTE,6270,DRW,3999,,0,EM2 TL,338,GTE,6270,GOV,6316,,0,EM2 TL,338,ISA,3324,DRW,3999,,0,E70 TL,338,ISA,3324,OOL,3321,,0,E70 TL,338,KNX,3347,BME,4319,,0,E70 TL,338,KNX,3347,DRW,3999,,0,E70 TL,338,KNX,3347,PER,3351,,0,E70 TL,338,KTA,3345,PHE,3349,,0,E70 TL,338,MCV,6297,DRW,3999,,0,E70 TL,338,MGT,6295,MNG,6296,,0,EM2 TL,338,MNG,6296,DRW,3999,,0,EM2 TL,338,MNG,6296,ELC,6265,,0,EM2 TL,338,MNG,6296,MGT,6295,,0,EM2 TL,338,OOL,3321,ISA,3324,,0,E70 TL,338,PER,3351,KNX,3347,,0,E70 TL,338,PHE,3349,BME,4319,,0,E70 TL,338,TSV,3330,DRW,3999,,0,E70 TM,9541,APL,984,BEW,974,,0,EM2 ER4 TM,9541,APL,984,JNB,813,,0,ER4 TM,9541,APL,984,MPM,979,,0,735 E90 ER4 TM,9541,APL,984,POL,985,,0,ER4 E90 TM,9541,APL,984,TET,988,,0,EM2 ER4 TM,9541,APL,984,VXC,977,,0,735 E90 EM2 TM,9541,BEW,974,APL,984,,0,EM2 ER4 TM,9541,BEW,974,JNB,813,,0,DH4 TM,9541,BEW,974,MPM,979,,0,E90 DH4 ER4 735 TM,9541,BEW,974,POL,985,,0,EM2 TM,9541,BEW,974,TET,988,,0,EM2 ER4 TM,9541,BEW,974,UEL,986,,0,EM2 TM,9541,DAR,1177,POL,985,,0,E90 TM,9541,INH,976,JNB,813,,0,DH4 TM,9541,INH,976,MPM,979,,0,DH4 EM2 TM,9541,INH,976,VNX,990,,0,DH4 EM2 TM,9541,JNB,813,APL,984,,0,ER4 TM,9541,JNB,813,BEW,974,,0,DH4 TM,9541,JNB,813,INH,976,,0,DH4 TM,9541,JNB,813,MPM,979,,0,E90 ER4 735 TM,9541,JNB,813,TET,988,,0,ER4 DH4 TM,9541,JNB,813,VNX,990,,0,DH4 TM,9541,LAD,951,MPM,979,,0,E90 TM,9541,MPM,979,APL,984,,0,735 E90 ER4 TM,9541,MPM,979,BEW,974,,0,E90 DH4 ER4 735 TM,9541,MPM,979,INH,976,,0,EM2 TM,9541,MPM,979,JNB,813,,0,E90 ER4 735 TM,9541,MPM,979,LAD,951,,0,E90 TM,9541,MPM,979,POL,985,,0,E90 735 TM,9541,MPM,979,TET,988,,0,EM2 E90 DH4 ER4 TM,9541,MPM,979,UEL,986,,0,735 E90 DH4 TM,9541,MPM,979,VNX,990,,0,DH4 EM2 TM,9541,MPM,979,VPY,5637,,0,DH4 EM2 TM,9541,NBO,4059,POL,985,,0,E90 ER4 TM,9541,POL,985,APL,984,,0,ER4 E90 TM,9541,POL,985,BEW,974,,0,EM2 TM,9541,POL,985,DAR,1177,,0,E90 TM,9541,POL,985,MPM,979,,0,E90 735 TM,9541,POL,985,NBO,4059,,0,E90 ER4 TM,9541,TET,988,APL,984,,0,EM2 ER4 TM,9541,TET,988,BEW,974,,0,EM2 ER4 TM,9541,TET,988,JNB,813,,0,ER4 DH4 TM,9541,TET,988,MPM,979,,0,E90 EM2 DH4 ER4 TM,9541,TET,988,UEL,986,,0,EM2 TM,9541,TET,988,VXC,977,,0,EM2 TM,9541,UEL,986,BEW,974,,0,EM2 TM,9541,UEL,986,MPM,979,,0,735 E90 DH4 TM,9541,UEL,986,TET,988,,0,EM2 TM,9541,VNX,990,INH,976,,0,DH4 EM2 TM,9541,VNX,990,JNB,813,,0,DH4 TM,9541,VNX,990,MPM,979,,0,EM2 TM,9541,VPY,5637,MPM,979,,0,DH4 EM2 TM,9541,VXC,977,APL,984,,0,735 E90 EM2 TM,9541,VXC,977,TET,988,,0,EM2 TN,225,AKL,2006,BNE,3320,Y,0,73H TN,225,AKL,2006,MEL,3339,Y,0,73H TN,225,AKL,2006,PPT,4075,,0,343 763 TN,225,AKL,2006,SYD,3361,Y,0,73H TN,225,BNE,3320,AKL,2006,Y,0,73H TN,225,CDG,1382,LAX,3484,,0,343 TN,225,ICN,3930,NRT,2279,,0,333 TN,225,LAX,3484,CDG,1382,,0,343 TN,225,LAX,3484,PPT,4075,,0,343 TN,225,MEL,3339,AKL,2006,Y,0,73H TN,225,MOF,3913,KOE,3916,,0,F50 TN,225,NRT,2279,ICN,3930,,0,333 TN,225,NRT,2279,PPT,4075,,0,343 TN,225,PPT,4075,AKL,2006,,0,343 763 TN,225,PPT,4075,LAX,3484,,0,343 TN,225,PPT,4075,NRT,2279,,0,343 TN,225,SYD,3361,AKL,2006,Y,0,73H TO,8745,ACE,1055,BHX,469,,0,73H 75W TO,8745,ACE,1055,EMA,523,,0,73H TO,8745,ACE,1055,GLA,534,,0,75W TO,8745,ACE,1055,LGW,502,,0,73H 75W TO,8745,ACE,1055,LTN,492,,0,75W 73H TO,8745,ACE,1055,MAN,478,,0,73H TO,8745,ACE,1055,NCL,521,,0,73H TO,8745,ACE,1055,STN,548,,0,73H TO,8745,ADB,1706,BHX,469,,0,75W TO,8745,ADB,1706,LGW,502,,0,75W TO,8745,ADB,1706,MAN,478,,0,75W TO,8745,AGA,1064,LGW,502,,0,73H TO,8745,AGA,1064,LIL,1399,,0,73H TO,8745,AGA,1064,MAN,478,,0,73H TO,8745,AGA,1064,ORY,1386,,0,73H 320 TO,8745,AGP,1230,CWL,488,,0,73H TO,8745,AGP,1230,GLA,534,,0,75W TO,8745,AGP,1230,LGW,502,,0,73H TO,8745,AGP,1230,LTN,492,,0,73H TO,8745,AGP,1230,MAN,478,,0,75W 73H TO,8745,AGP,1230,NCL,521,,0,73H TO,8745,AGP,1230,ORY,1386,,0,73H TO,8745,ALC,1212,BHX,469,,0,73H TO,8745,ALC,1212,BRS,490,,0,75W TO,8745,ALC,1212,CWL,488,,0,73H TO,8745,ALC,1212,EMA,523,,0,73H TO,8745,ALC,1212,GLA,534,,0,75W TO,8745,ALC,1212,LGW,502,,0,75W TO,8745,ALC,1212,MAN,478,,0,73H 75W 76W TO,8745,ALC,1212,NCL,521,,0,73H TO,8745,ATH,3941,LYS,1335,,0,73H TO,8745,ATH,3941,NTE,1418,,0,73H TO,8745,ATH,3941,ORY,1386,,0,73H TO,8745,AYT,1688,BHX,469,,0,75W TO,8745,AYT,1688,BRS,490,,0,75W TO,8745,AYT,1688,LGW,502,,0,73H 75W TO,8745,AYT,1688,LTN,492,,0,73H TO,8745,AYT,1688,MAN,478,,0,76W 73H TO,8745,AYT,1688,ORY,1386,,0,73H TO,8745,BHX,469,ACE,1055,,0,73H 75W TO,8745,BHX,469,ADB,1706,,0,75W TO,8745,BHX,469,ALC,1212,,0,73H TO,8745,BHX,469,AYT,1688,,0,75W TO,8745,BHX,469,BJV,4315,,0,75W TO,8745,BHX,469,BVC,1103,,0,75W TO,8745,BHX,469,DBV,1200,,0,73H TO,8745,BHX,469,DLM,1715,,0,75W 73H TO,8745,BHX,469,FAO,1626,,0,73H 75W TO,8745,BHX,469,FNC,4091,,0,75W TO,8745,BHX,469,FUE,1051,,0,75W TO,8745,BHX,469,LCA,1197,,0,75W TO,8745,BHX,469,LPA,1054,,0,75W TO,8745,BHX,469,NBE,7447,,0,75W TO,8745,BHX,469,PFO,1198,,0,73H TO,8745,BHX,469,PMI,3998,,0,75W TO,8745,BHX,469,RAK,1075,,0,75W TO,8745,BHX,469,SSH,4057,,0,73H TO,8745,BHX,469,TFS,1056,,0,73H 75W TO,8745,BJV,4315,LGW,502,,0,73H TO,8745,BJV,4315,MAN,478,,0,76W TO,8745,BJV,4315,ORY,1386,,0,73H TO,8745,BOH,494,PMI,3998,,0,73H TO,8745,BOH,494,TFS,1056,,0,73H TO,8745,BRS,490,ALC,1212,,0,75W TO,8745,BRS,490,CFU,1460,,0,75W TO,8745,BRS,490,DLM,1715,,0,75W TO,8745,BRS,490,FUE,1051,,0,75W TO,8745,BRS,490,LPA,1054,,0,75W TO,8745,BRS,490,MAH,1231,,0,75W TO,8745,BRS,490,NBE,7447,,0,75W TO,8745,BRS,490,PFO,1198,,0,75W TO,8745,BRS,490,PMI,3998,,0,75W TO,8745,BRS,490,REU,1236,,0,75W TO,8745,BRS,490,TFS,1056,,0,75W TO,8745,BUD,1489,ORY,1386,,0,73H TO,8745,BVC,1103,BHX,469,,0,75W TO,8745,BVC,1103,LGW,502,,0,75W TO,8745,BVC,1103,MAN,478,,0,75W TO,8745,CFU,1460,BRS,490,,0,75W TO,8745,CFU,1460,LGW,502,,0,75W TO,8745,CFU,1460,MAN,478,,0,73H 76W TO,8745,CTA,1509,LGW,502,,0,75W TO,8745,CTA,1509,MAN,478,,0,75W TO,8745,CTA,1509,ORY,1386,,0,73H TO,8745,CUN,1852,LGW,502,,0,788 TO,8745,CUN,1852,MAN,478,,0,788 76W TO,8745,CWL,488,AGP,1230,,0,73H TO,8745,CWL,488,ALC,1212,,0,73H TO,8745,CWL,488,DLM,1715,,0,73H TO,8745,CWL,488,HER,1452,,0,73H TO,8745,CWL,488,LCA,1197,,0,73H TO,8745,CWL,488,PMI,3998,,0,73H TO,8745,CWL,488,RHO,1472,,0,73H TO,8745,CWL,488,TFS,1056,,0,73H TO,8745,DBV,1200,BHX,469,,0,73H TO,8745,DBV,1200,LGW,502,,0,75W TO,8745,DBV,1200,MAN,478,,0,73H TO,8745,DBV,1200,ORY,1386,,0,73H TO,8745,DJE,293,LIL,1399,,0,73H TO,8745,DJE,293,NTE,1418,,0,73H TO,8745,DJE,293,ORY,1386,,0,73H TO,8745,DLM,1715,BHX,469,,0,75W 73H TO,8745,DLM,1715,BRS,490,,0,75W TO,8745,DLM,1715,CWL,488,,0,73H TO,8745,DLM,1715,EMA,523,,0,73H TO,8745,DLM,1715,GLA,534,,0,75W TO,8745,DLM,1715,LBA,517,,0,73H TO,8745,DLM,1715,LGW,502,,0,75W 73H TO,8745,DLM,1715,LTN,492,,0,75W 73H TO,8745,DLM,1715,MAN,478,,0,76W 73H 75W TO,8745,DLM,1715,NCL,521,,0,73H TO,8745,DLM,1715,STN,548,,0,73H TO,8745,DSA,5562,PMI,3998,,0,73H TO,8745,EDI,535,PMI,3998,,0,73H TO,8745,EDI,535,TFS,1056,,0,73H TO,8745,EMA,523,ACE,1055,,0,73H TO,8745,EMA,523,ALC,1212,,0,73H TO,8745,EMA,523,DLM,1715,,0,73H TO,8745,EMA,523,FAO,1626,,0,73H TO,8745,EMA,523,IBZ,1225,,0,73H TO,8745,EMA,523,LCA,1197,,0,73H TO,8745,EMA,523,LPA,1054,,0,73H TO,8745,EMA,523,MAH,1231,,0,73H TO,8745,EMA,523,NBE,7447,,0,73H TO,8745,EMA,523,PFO,1198,,0,73H TO,8745,EMA,523,PMI,3998,,0,73H TO,8745,EMA,523,RHO,1472,,0,73H TO,8745,EMA,523,TFS,1056,,0,73H TO,8745,ESU,5671,ORY,1386,,0,73H TO,8745,EXT,552,FAO,1626,,0,73H TO,8745,EXT,552,PMI,3998,,0,73H TO,8745,FAO,1626,BHX,469,,0,73H 75W TO,8745,FAO,1626,EMA,523,,0,73H TO,8745,FAO,1626,GLA,534,,0,75W TO,8745,FAO,1626,LGW,502,,0,73H TO,8745,FAO,1626,LTN,492,,0,75W 73H TO,8745,FAO,1626,MAN,478,,0,73H TO,8745,FAO,1626,NCL,521,,0,73H TO,8745,FAO,1626,ORY,1386,,0,73H TO,8745,FAO,1626,STN,548,,0,73H TO,8745,FCO,1555,NTE,1418,,0,73H TO,8745,FCO,1555,VCE,1551,,0,73H TO,8745,FNC,4091,BHX,469,,0,75W TO,8745,FNC,4091,LGW,502,,0,75W TO,8745,FNC,4091,MAN,478,,0,75W TO,8745,FNC,4091,OPO,1636,,0,73H TO,8745,FUE,1051,BHX,469,,0,75W TO,8745,FUE,1051,BRS,490,,0,75W TO,8745,FUE,1051,EMA,523,,0,73H TO,8745,FUE,1051,LGW,502,,0,73H TO,8745,FUE,1051,LTN,492,,0,73H TO,8745,FUE,1051,MAN,478,,0,73H TO,8745,FUE,1051,STN,548,,0,73H TO,8745,GLA,534,ACE,1055,,0,75W TO,8745,GLA,534,AGP,1230,,0,75W TO,8745,GLA,534,ALC,1212,,0,75W TO,8745,GLA,534,BJV,4315,,0,75W TO,8745,GLA,534,CUN,1852,,0,788 TO,8745,GLA,534,DLM,1715,,0,75W TO,8745,GLA,534,FAO,1626,,0,75W TO,8745,GLA,534,IBZ,1225,,0,75W TO,8745,GLA,534,LCA,1197,,0,75W TO,8745,GLA,534,LPA,1054,,0,75W TO,8745,GLA,534,PMI,3998,,0,75W TO,8745,GLA,534,RHO,1472,,0,75W TO,8745,GLA,534,TFS,1056,,0,75W TO,8745,HER,1452,BHX,469,,0,75W TO,8745,HER,1452,LGW,502,,0,73H TO,8745,HER,1452,LYS,1335,,0,73H TO,8745,HER,1452,MAN,478,,0,73H TO,8745,HER,1452,NTE,1418,,0,73H TO,8745,HER,1452,ORY,1386,,0,73H TO,8745,HRG,1130,LGW,502,,0,73H 75W TO,8745,HRG,1130,MAN,478,,0,73H TO,8745,IBZ,1225,EMA,523,,0,73H TO,8745,IBZ,1225,LBA,517,,0,73H TO,8745,IBZ,1225,LTN,492,,0,73H TO,8745,IBZ,1225,MAN,478,,0,75W 76W 73H TO,8745,IBZ,1225,NCL,521,,0,73H TO,8745,IBZ,1225,ORY,1386,,0,73H TO,8745,IBZ,1225,STN,548,,0,73H TO,8745,JMK,1468,LGW,502,,0,73H TO,8745,KGS,1458,LGW,502,,0,73H TO,8745,LBA,517,DLM,1715,,0,73H TO,8745,LBA,517,IBZ,1225,,0,73H TO,8745,LBA,517,PMI,3998,,0,73H TO,8745,LBA,517,TFS,1056,,0,73H TO,8745,LCA,1197,CWL,488,,0,73H TO,8745,LCA,1197,EMA,523,,0,73H TO,8745,LCA,1197,GLA,534,,0,75W TO,8745,LCA,1197,LGW,502,,0,73H TO,8745,LCA,1197,MAN,478,,0,73H TO,8745,LEI,1213,MAN,478,,0,73H TO,8745,LGW,502,ACE,1055,,0,73H 75W TO,8745,LGW,502,ADB,1706,,0,75W TO,8745,LGW,502,AGA,1064,,0,73H TO,8745,LGW,502,AGP,1230,,0,73H TO,8745,LGW,502,ALC,1212,,0,75W TO,8745,LGW,502,AYT,1688,,0,73H 75W TO,8745,LGW,502,BJV,4315,,0,73H TO,8745,LGW,502,BVC,1103,,0,75W TO,8745,LGW,502,CFU,1460,,0,73H 75W TO,8745,LGW,502,CHQ,1474,,0,73H TO,8745,LGW,502,CTA,1509,,0,75W TO,8745,LGW,502,CUN,1852,,0,788 TO,8745,LGW,502,DBV,1200,,0,75W TO,8745,LGW,502,DLM,1715,,0,75W 73H TO,8745,LGW,502,FAO,1626,,0,73H TO,8745,LGW,502,FNC,4091,,0,75W TO,8745,LGW,502,FUE,1051,,0,73H TO,8745,LGW,502,HER,1452,,0,73H TO,8745,LGW,502,HRG,1130,,0,73H 75W TO,8745,LGW,502,IBZ,1225,,0,73H TO,8745,LGW,502,JMK,1468,,0,73H TO,8745,LGW,502,JTR,1479,,0,75W TO,8745,LGW,502,KGS,1458,,0,75W 73H TO,8745,LGW,502,LCA,1197,,0,73H TO,8745,LGW,502,LPA,1054,,0,73H TO,8745,LGW,502,MAH,1231,,0,73H TO,8745,LGW,502,MLA,1606,,0,73H TO,8745,LGW,502,MRU,893,,0,788 TO,8745,LGW,502,NAP,1561,,0,75W 73H TO,8745,LGW,502,NBE,7447,,0,73H TO,8745,LGW,502,PFO,1198,,0,75W 73H TO,8745,LGW,502,PMI,3998,,0,73H 75W TO,8745,LGW,502,PUJ,1760,,0,788 TO,8745,LGW,502,PVK,1470,,0,73H 75W TO,8745,LGW,502,RAK,1075,,0,73H 75W TO,8745,LGW,502,RHO,1472,,0,75W TO,8745,LGW,502,SID,1102,,0,75W TO,8745,LGW,502,SKG,1486,,0,73H TO,8745,LGW,502,SSH,4057,,0,73H TO,8745,LGW,502,TFS,1056,,0,75W 73H TO,8745,LGW,502,VCE,1551,,0,73H TO,8745,LGW,502,VRN,1550,,0,75W 73H TO,8745,LGW,502,ZTH,1488,,0,73H TO,8745,LIL,1399,AGA,1064,,0,73H TO,8745,LIL,1399,DJE,293,,0,73H TO,8745,LIL,1399,OUD,1070,,0,73H TO,8745,LIL,1399,RAK,1075,,0,73H TO,8745,LIL,1399,VCE,1551,,0,73H TO,8745,LIS,1638,NTE,1418,,0,73H TO,8745,LIS,1638,ORY,1386,,0,73H 320 TO,8745,LPA,1054,BHX,469,,0,75W TO,8745,LPA,1054,BRS,490,,0,75W TO,8745,LPA,1054,EMA,523,,0,73H TO,8745,LPA,1054,GLA,534,,0,75W TO,8745,LPA,1054,LGW,502,,0,73H TO,8745,LPA,1054,LTN,492,,0,73H TO,8745,LPA,1054,MAN,478,,0,73H TO,8745,LPA,1054,STN,548,,0,73H TO,8745,LTN,492,ACE,1055,,0,75W 73H TO,8745,LTN,492,AGP,1230,,0,73H TO,8745,LTN,492,AYT,1688,,0,73H TO,8745,LTN,492,DLM,1715,,0,75W 73H TO,8745,LTN,492,FAO,1626,,0,75W 73H TO,8745,LTN,492,FUE,1051,,0,73H TO,8745,LTN,492,IBZ,1225,,0,73H TO,8745,LTN,492,LCA,1197,,0,73H TO,8745,LTN,492,LPA,1054,,0,73H TO,8745,LTN,492,PFO,1198,,0,75W TO,8745,LTN,492,PMI,3998,,0,75W 73H TO,8745,LTN,492,REU,1236,,0,73H TO,8745,LTN,492,SSH,4057,,0,73H TO,8745,LTN,492,TFS,1056,,0,75W 73H TO,8745,LYS,1335,ATH,3941,,0,73H TO,8745,LYS,1335,HER,1452,,0,73H TO,8745,LYS,1335,MIR,286,,0,73H TO,8745,LYS,1335,OPO,1636,,0,73H TO,8745,LYS,1335,OUD,1070,,0,73H TO,8745,LYS,1335,RAK,1075,,0,73H TO,8745,LYS,1335,SVQ,1253,,0,73H TO,8745,LYS,1335,TUN,287,,0,73H TO,8745,MAH,1231,EMA,523,,0,73H TO,8745,MAH,1231,LGW,502,,0,73H TO,8745,MAH,1231,MAN,478,,0,73H TO,8745,MAN,478,ACE,1055,,0,73H TO,8745,MAN,478,ADB,1706,,0,75W TO,8745,MAN,478,AGA,1064,,0,73H TO,8745,MAN,478,AGP,1230,,0,75W 73H TO,8745,MAN,478,ALC,1212,,0,73H 75W 76W TO,8745,MAN,478,AYT,1688,,0,76W 73H TO,8745,MAN,478,BJV,4315,,0,73H 76W TO,8745,MAN,478,BVC,1103,,0,75W TO,8745,MAN,478,CFU,1460,,0,73H 76W TO,8745,MAN,478,CTA,1509,,0,75W TO,8745,MAN,478,CUN,1852,,0,788 76W TO,8745,MAN,478,DBV,1200,,0,73H TO,8745,MAN,478,DLM,1715,,0,76W 73H 75W TO,8745,MAN,478,FAO,1626,,0,73H TO,8745,MAN,478,FNC,4091,,0,75W TO,8745,MAN,478,FUE,1051,,0,73H TO,8745,MAN,478,HER,1452,,0,73H TO,8745,MAN,478,HRG,1130,,0,73H TO,8745,MAN,478,IBZ,1225,,0,73H 75W 76W TO,8745,MAN,478,JTR,1479,,0,75W TO,8745,MAN,478,KGS,1458,,0,73H TO,8745,MAN,478,LCA,1197,,0,73H TO,8745,MAN,478,LEI,1213,,0,73H TO,8745,MAN,478,LPA,1054,,0,73H TO,8745,MAN,478,MAH,1231,,0,73H TO,8745,MAN,478,NAP,1561,,0,73H TO,8745,MAN,478,NBE,7447,,0,73H TO,8745,MAN,478,PFO,1198,,0,73H 76W TO,8745,MAN,478,PMI,3998,,0,73H 75W TO,8745,MAN,478,PUJ,1760,,0,788 TO,8745,MAN,478,PUY,1203,,0,73H TO,8745,MAN,478,PVK,1470,,0,73H TO,8745,MAN,478,RAK,1075,,0,73H TO,8745,MAN,478,REU,1236,,0,73H 75W TO,8745,MAN,478,RHO,1472,,0,76W TO,8745,MAN,478,SID,1102,,0,75W TO,8745,MAN,478,SSH,4057,,0,75W TO,8745,MAN,478,TFS,1056,,0,73H TO,8745,MAN,478,VCE,1551,,0,73H TO,8745,MAN,478,VRN,1550,,0,75W TO,8745,MAN,478,ZTH,1488,,0,73H TO,8745,MIR,286,LYS,1335,,0,73H TO,8745,MIR,286,NTE,1418,,0,73H TO,8745,MIR,286,ORY,1386,,0,73H TO,8745,MLA,1606,LGW,502,,0,73H TO,8745,MLA,1606,NTE,1418,,0,73H TO,8745,MLA,1606,ORY,1386,,0,73H TO,8745,MRU,893,LGW,502,,0,788 TO,8745,NAP,1561,LGW,502,,0,75W 73H TO,8745,NAP,1561,MAN,478,,0,73H TO,8745,NAP,1561,ORY,1386,,0,73H TO,8745,NBE,7447,BHX,469,,0,75W TO,8745,NBE,7447,BRS,490,,0,75W TO,8745,NBE,7447,CWL,488,,0,73H TO,8745,NBE,7447,EMA,523,,0,73H TO,8745,NBE,7447,LGW,502,,0,73H TO,8745,NBE,7447,MAN,478,,0,73H TO,8745,NBE,7447,NCL,521,,0,73H TO,8745,NCL,521,ACE,1055,,0,73H TO,8745,NCL,521,AGP,1230,,0,73H TO,8745,NCL,521,ALC,1212,,0,73H TO,8745,NCL,521,DLM,1715,,0,73H TO,8745,NCL,521,FAO,1626,,0,73H TO,8745,NCL,521,HER,1452,,0,73H TO,8745,NCL,521,IBZ,1225,,0,73H TO,8745,NCL,521,NBE,7447,,0,73H TO,8745,NCL,521,PFO,1198,,0,73H TO,8745,NCL,521,PMI,3998,,0,73H TO,8745,NCL,521,RHO,1472,,0,73H TO,8745,NCL,521,TFS,1056,,0,73H TO,8745,NTE,1418,ATH,3941,,0,73H TO,8745,NTE,1418,DJE,293,,0,73H TO,8745,NTE,1418,FCO,1555,,0,73H TO,8745,NTE,1418,HER,1452,,0,73H TO,8745,NTE,1418,LIS,1638,,0,73H TO,8745,NTE,1418,MIR,286,,0,73H TO,8745,NTE,1418,MLA,1606,,0,73H TO,8745,NTE,1418,OPO,1636,,0,73H TO,8745,NTE,1418,RAK,1075,,0,73H TO,8745,NTE,1418,SVQ,1253,,0,73H TO,8745,NTE,1418,TXL,351,,0,73H TO,8745,NTE,1418,VCE,1551,,0,73H TO,8745,OPO,1636,FNC,4091,,0,73H TO,8745,OPO,1636,LYS,1335,,0,73H TO,8745,OPO,1636,NTE,1418,,0,73H TO,8745,OPO,1636,ORY,1386,,0,73H TO,8745,ORY,1386,AGA,1064,,0,73H 320 TO,8745,ORY,1386,AGP,1230,,0,73H TO,8745,ORY,1386,ATH,3941,,0,73H TO,8745,ORY,1386,AYT,1688,,0,73H TO,8745,ORY,1386,BJV,4315,,0,73H TO,8745,ORY,1386,BUD,1489,,0,73H TO,8745,ORY,1386,CTA,1509,,0,73H TO,8745,ORY,1386,DBV,1200,,0,73H TO,8745,ORY,1386,DJE,293,,0,73H TO,8745,ORY,1386,ESU,5671,,0,73H TO,8745,ORY,1386,FAO,1626,,0,73H TO,8745,ORY,1386,HER,1452,,0,73H TO,8745,ORY,1386,IBZ,1225,,0,73H TO,8745,ORY,1386,LIS,1638,,0,73H 320 TO,8745,ORY,1386,MIR,286,,0,73H TO,8745,ORY,1386,MLA,1606,,0,73H TO,8745,ORY,1386,NAP,1561,,0,73H TO,8745,ORY,1386,OPO,1636,,0,73H TO,8745,ORY,1386,OUD,1070,,0,73H TO,8745,ORY,1386,PMO,1512,,0,73H TO,8745,ORY,1386,PRG,1587,,0,73H TO,8745,ORY,1386,PSA,1562,,0,73H TO,8745,ORY,1386,RAK,1075,,0,73H 320 TO,8745,ORY,1386,SAW,4317,,0,73H TO,8745,ORY,1386,SVQ,1253,,0,73H TO,8745,ORY,1386,TLV,1590,,0,73H TO,8745,ORY,1386,TUN,287,,0,73H TO,8745,ORY,1386,VCE,1551,,0,73H TO,8745,OUD,1070,LIL,1399,,0,73H TO,8745,OUD,1070,LYS,1335,,0,73H TO,8745,OUD,1070,ORY,1386,,0,73H TO,8745,PFO,1198,BHX,469,,0,73H TO,8745,PFO,1198,BRS,490,,0,75W TO,8745,PFO,1198,EMA,523,,0,73H TO,8745,PFO,1198,LGW,502,,0,75W 73H TO,8745,PFO,1198,LTN,492,,0,75W TO,8745,PFO,1198,MAN,478,,0,73H 76W TO,8745,PFO,1198,NCL,521,,0,73H TO,8745,PFO,1198,STN,548,,0,73H TO,8745,PMI,3998,BHX,469,,0,75W TO,8745,PMI,3998,BOH,494,,0,73H TO,8745,PMI,3998,BRS,490,,0,75W TO,8745,PMI,3998,CWL,488,,0,73H TO,8745,PMI,3998,DSA,5562,,0,73H TO,8745,PMI,3998,EDI,535,,0,73H TO,8745,PMI,3998,EMA,523,,0,73H TO,8745,PMI,3998,EXT,552,,0,73H TO,8745,PMI,3998,GLA,534,,0,73H 75W TO,8745,PMI,3998,LBA,517,,0,73H TO,8745,PMI,3998,LGW,502,,0,73H 75W TO,8745,PMI,3998,LTN,492,,0,75W 73H TO,8745,PMI,3998,MAN,478,,0,73H 75W TO,8745,PMI,3998,NCL,521,,0,73H TO,8745,PMI,3998,STN,548,,0,73H TO,8745,PMO,1512,ORY,1386,,0,73H TO,8745,PRG,1587,ORY,1386,,0,73H TO,8745,PSA,1562,ORY,1386,,0,73H TO,8745,PUJ,1760,LGW,502,,0,788 TO,8745,PUY,1203,MAN,478,,0,73H TO,8745,PVK,1470,LGW,502,,0,73H 75W TO,8745,PVK,1470,MAN,478,,0,73H TO,8745,RAK,1075,BHX,469,,0,75W TO,8745,RAK,1075,LGW,502,,0,73H 75W TO,8745,RAK,1075,LIL,1399,,0,73H TO,8745,RAK,1075,LYS,1335,,0,73H TO,8745,RAK,1075,MAN,478,,0,73H TO,8745,RAK,1075,NTE,1418,,0,73H TO,8745,RAK,1075,ORY,1386,,0,73H 320 TO,8745,RAK,1075,SXB,1435,,0,73H TO,8745,REU,1236,BRS,490,,0,75W TO,8745,REU,1236,MAN,478,,0,75W TO,8745,RHO,1472,EMA,523,,0,73H TO,8745,RHO,1472,LGW,502,,0,73H 75W TO,8745,RHO,1472,MAN,478,,0,76W TO,8745,RHO,1472,NCL,521,,0,73H TO,8745,RHO,1472,STN,548,,0,73H TO,8745,SAW,4317,ORY,1386,,0,73H TO,8745,SID,1102,LGW,502,,0,75W TO,8745,SID,1102,MAN,478,,0,75W TO,8745,SSH,4057,BHX,469,,0,73H TO,8745,SSH,4057,LGW,502,,0,73H TO,8745,SSH,4057,LTN,492,,0,73H TO,8745,SSH,4057,MAN,478,,0,75W TO,8745,SSH,4057,STN,548,,0,73H TO,8745,STN,548,ACE,1055,,0,73H TO,8745,STN,548,DLM,1715,,0,73H TO,8745,STN,548,FAO,1626,,0,73H TO,8745,STN,548,FUE,1051,,0,73H TO,8745,STN,548,IBZ,1225,,0,73H TO,8745,STN,548,KGS,1458,,0,73H TO,8745,STN,548,LPA,1054,,0,73H TO,8745,STN,548,MAH,1231,,0,73H TO,8745,STN,548,PFO,1198,,0,73H TO,8745,STN,548,PMI,3998,,0,73H TO,8745,STN,548,RHO,1472,,0,73H TO,8745,STN,548,SSH,4057,,0,73H TO,8745,STN,548,TFS,1056,,0,73H TO,8745,SVQ,1253,LYS,1335,,0,73H TO,8745,SVQ,1253,NTE,1418,,0,73H TO,8745,SVQ,1253,ORY,1386,,0,73H TO,8745,SXB,1435,RAK,1075,,0,73H TO,8745,TFS,1056,BHX,469,,0,73H 75W TO,8745,TFS,1056,BOH,494,,0,73H TO,8745,TFS,1056,BRS,490,,0,75W TO,8745,TFS,1056,CWL,488,,0,73H TO,8745,TFS,1056,EDI,535,,0,73H TO,8745,TFS,1056,EMA,523,,0,73H TO,8745,TFS,1056,GLA,534,,0,75W TO,8745,TFS,1056,LBA,517,,0,73H TO,8745,TFS,1056,LGW,502,,0,75W 73H TO,8745,TFS,1056,LTN,492,,0,75W 73H TO,8745,TFS,1056,MAN,478,,0,73H TO,8745,TFS,1056,NCL,521,,0,73H TO,8745,TFS,1056,STN,548,,0,73H TO,8745,TLV,1590,ORY,1386,,0,73H TO,8745,TUN,287,LYS,1335,,0,73H TO,8745,TUN,287,ORY,1386,,0,73H TO,8745,TXL,351,NTE,1418,,0,73H TO,8745,VCE,1551,LGW,502,,0,73H TO,8745,VCE,1551,LIL,1399,,0,73H TO,8745,VCE,1551,MAN,478,,0,73H TO,8745,VCE,1551,NTE,1418,,0,73H TO,8745,VCE,1551,ORY,1386,,0,73H TO,8745,VRN,1550,LGW,502,,0,75W 73H TO,8745,VRN,1550,MAN,478,,0,75W TO,8745,ZTH,1488,LGW,502,,0,73H TOM,5013,ACE,1055,BHX,469,,0,75W TOM,5013,ACE,1055,EMA,523,,0,73H TOM,5013,ACE,1055,GLA,534,,0,75W TOM,5013,ACE,1055,LGW,502,,0,75W TOM,5013,ACE,1055,MAN,478,,0,73H 75W TOM,5013,ACE,1055,NCL,521,,0,73H TOM,5013,ACE,1055,STN,548,,0,73H TOM,5013,AGA,1064,LGW,502,,0,73H TOM,5013,AGA,1064,MAN,478,,0,73H TOM,5013,AYT,1688,BHX,469,,0,73H TOM,5013,AYT,1688,BRS,490,,0,75W TOM,5013,AYT,1688,LGW,502,,0,73H TOM,5013,AYT,1688,MAN,478,,0,75W TOM,5013,BHX,469,ACE,1055,,0,75W TOM,5013,BHX,469,AYT,1688,,0,73H TOM,5013,BHX,469,BVC,1103,,0,75W TOM,5013,BHX,469,DLM,1715,,0,73H TOM,5013,BHX,469,FUE,1051,,0,75W TOM,5013,BHX,469,NBE,7447,,0,75W TOM,5013,BHX,469,PMI,3998,,0,75W 73H TOM,5013,BHX,469,SSH,4057,,0,75W TOM,5013,BHX,469,TFS,1056,,0,75W TOM,5013,BRS,490,PMI,3998,,0,75W TOM,5013,BRS,490,TFS,1056,,0,75W TOM,5013,BVC,1103,BHX,469,,0,75W TOM,5013,BVC,1103,MAN,478,,0,75W TOM,5013,CUN,1852,LGW,502,,0,788 TOM,5013,CUN,1852,MAN,478,,0,76W 788 TOM,5013,CWL,488,TFS,1056,,0,73H TOM,5013,DLM,1715,BHX,469,,0,73H TOM,5013,DLM,1715,LGW,502,,0,73H TOM,5013,DLM,1715,MAN,478,,0,73H TOM,5013,DSA,5562,PMI,3998,,0,73H TOM,5013,EMA,523,ACE,1055,,0,73H TOM,5013,EMA,523,NBE,7447,,0,73H TOM,5013,EMA,523,PFO,1198,,0,73H TOM,5013,EMA,523,PMI,3998,,0,73H TOM,5013,EMA,523,TFS,1056,,0,73H TOM,5013,EXT,552,PMI,3998,,0,73H TOM,5013,FNC,4091,GLA,534,,0,75W TOM,5013,FUE,1051,BHX,469,,0,75W TOM,5013,FUE,1051,EMA,523,,0,73H TOM,5013,FUE,1051,LGW,502,,0,75W TOM,5013,GLA,534,ACE,1055,,0,75W TOM,5013,GLA,534,FNC,4091,,0,75W TOM,5013,GLA,534,PMI,3998,,0,75W TOM,5013,GLA,534,TFS,1056,,0,75W TOM,5013,HER,1452,BHX,469,,0,75W TOM,5013,HRG,1130,LGW,502,,0,73H TOM,5013,HRG,1130,MAN,478,,0,75W TOM,5013,LCA,1197,LGW,502,,0,73H TOM,5013,LCA,1197,MAN,478,,0,73H TOM,5013,LGW,502,ACE,1055,,0,75W TOM,5013,LGW,502,AGA,1064,,0,73H TOM,5013,LGW,502,AYT,1688,,0,73H TOM,5013,LGW,502,CUN,1852,,0,788 TOM,5013,LGW,502,DLM,1715,,0,73H TOM,5013,LGW,502,FUE,1051,,0,75W TOM,5013,LGW,502,HRG,1130,,0,73H TOM,5013,LGW,502,LCA,1197,,0,73H TOM,5013,LGW,502,LPA,1054,,0,75W TOM,5013,LGW,502,MRU,893,,0,788 TOM,5013,LGW,502,NBE,7447,,0,75W 73H TOM,5013,LGW,502,PFO,1198,,0,73H TOM,5013,LGW,502,PMI,3998,,0,73H TOM,5013,LGW,502,PVK,1470,,0,73H TOM,5013,LGW,502,RAK,1075,,0,73H TOM,5013,LGW,502,RHO,1472,,0,73H TOM,5013,LGW,502,SID,1102,,0,75W TOM,5013,LGW,502,SSH,4057,,0,75W 73H TOM,5013,LGW,502,TFS,1056,,0,73H 75W TOM,5013,LPA,1054,LGW,502,,0,75W TOM,5013,LPA,1054,MAN,478,,0,75W TOM,5013,MAN,478,ACE,1055,,0,73H 75W TOM,5013,MAN,478,AGA,1064,,0,73H TOM,5013,MAN,478,BVC,1103,,0,75W TOM,5013,MAN,478,CUN,1852,,0,76W TOM,5013,MAN,478,DLM,1715,,0,73H TOM,5013,MAN,478,HRG,1130,,0,75W TOM,5013,MAN,478,LCA,1197,,0,73H TOM,5013,MAN,478,LPA,1054,,0,75W TOM,5013,MAN,478,MLA,1606,,0,73H TOM,5013,MAN,478,NAP,1561,,0,73H TOM,5013,MAN,478,NBE,7447,,0,73H TOM,5013,MAN,478,PFO,1198,,0,75W TOM,5013,MAN,478,PMI,3998,,0,73H TOM,5013,MAN,478,PUJ,1760,,0,76W TOM,5013,MAN,478,RAK,1075,,0,73H TOM,5013,MAN,478,RHO,1472,,0,75W TOM,5013,MAN,478,SID,1102,,0,75W TOM,5013,MAN,478,SSH,4057,,0,73H TOM,5013,MAN,478,TFS,1056,,0,75W 73H TOM,5013,MLA,1606,MAN,478,,0,73H TOM,5013,NAP,1561,MAN,478,,0,73H TOM,5013,NBE,7447,BRS,490,,0,75W TOM,5013,NBE,7447,EMA,523,,0,73H TOM,5013,NBE,7447,GLA,534,,0,75W TOM,5013,NBE,7447,LGW,502,,0,75W 73H TOM,5013,NBE,7447,MAN,478,,0,73H TOM,5013,NBE,7447,NCL,521,,0,73H TOM,5013,NCL,521,ACE,1055,,0,73H TOM,5013,NCL,521,DLM,1715,,0,73H TOM,5013,NCL,521,NBE,7447,,0,73H TOM,5013,NCL,521,PMI,3998,,0,73H TOM,5013,NCL,521,TFS,1056,,0,73H TOM,5013,PFO,1198,EMA,523,,0,73H TOM,5013,PFO,1198,LGW,502,,0,73H TOM,5013,PFO,1198,MAN,478,,0,73H TOM,5013,PMI,3998,BHX,469,,0,75W 73H TOM,5013,PMI,3998,BRS,490,,0,75W TOM,5013,PMI,3998,DSA,5562,,0,73H TOM,5013,PMI,3998,EMA,523,,0,73H TOM,5013,PMI,3998,EXT,552,,0,73H TOM,5013,PMI,3998,GLA,534,,0,75W TOM,5013,PMI,3998,LGW,502,,0,73H TOM,5013,PMI,3998,MAN,478,,0,73H TOM,5013,PMI,3998,NCL,521,,0,73H TOM,5013,PVK,1470,LGW,502,,0,73H TOM,5013,RAK,1075,LGW,502,,0,73H TOM,5013,RAK,1075,MAN,478,,0,73H TOM,5013,RHO,1472,LGW,502,,0,73H TOM,5013,RHO,1472,MAN,478,,0,75W TOM,5013,SID,1102,LGW,502,,0,75W TOM,5013,SID,1102,MAN,478,,0,75W TOM,5013,SSH,4057,BHX,469,,0,75W TOM,5013,SSH,4057,LGW,502,,0,75W 73H TOM,5013,SSH,4057,MAN,478,,0,73H TOM,5013,STN,548,ACE,1055,,0,73H TOM,5013,STN,548,PMI,3998,,0,73H TOM,5013,STN,548,TFS,1056,,0,73H TOM,5013,TFS,1056,BHX,469,,0,75W TOM,5013,TFS,1056,BRS,490,,0,75W TOM,5013,TFS,1056,CWL,488,,0,73H TOM,5013,TFS,1056,EMA,523,,0,73H TOM,5013,TFS,1056,GLA,534,,0,75W TOM,5013,TFS,1056,LGW,502,,0,73H 75W TOM,5013,TFS,1056,MAN,478,,0,75W 73H TOM,5013,TFS,1056,NCL,521,,0,73H TOM,5013,TFS,1056,STN,548,,0,73H TP,4869,ACC,248,LIS,1638,,0,320 TP,4869,AGP,1230,LIS,1638,Y,0,BEH TP,4869,ALG,210,LIS,1638,Y,0,100 ER4 TP,4869,AMS,580,AUH,2179,,0,332 TP,4869,AMS,580,LIS,1638,,0,319 320 TP,4869,AMS,580,OPO,1636,Y,0,100 ER4 TP,4869,ARN,737,LIS,1638,,0,320 TP,4869,AUH,2179,AMS,580,,0,332 TP,4869,AUH,2179,CMN,1074,Y,0,333 TP,4869,AUH,2179,LHR,507,Y,0,346 TP,4869,BCN,1218,LIS,1638,,0,ER4 320 319 100 TP,4869,BCN,1218,OPO,1636,Y,0,ER4 TP,4869,BIO,1216,LIS,1638,Y,0,ER4 100 TP,4869,BKO,1044,LIS,1638,,0,319 320 TP,4869,BLQ,1538,LIS,1638,,0,319 320 TP,4869,BLQ,1538,ZAG,1208,,0,319 320 TP,4869,BOD,1264,LIS,1638,Y,0,100 ER4 TP,4869,BOS,3448,LIS,1638,Y,0,313 TP,4869,BOS,3448,PDL,1633,Y,0,313 TP,4869,BRU,302,FAO,1626,Y,0,320 319 TP,4869,BRU,302,LIS,1638,,0,319 321 320 100 TP,4869,BRU,302,OPO,1636,Y,0,319 100 ER4 TP,4869,BSB,2531,LIS,1638,,0,332 TP,4869,BUD,1489,LIS,1638,,0,320 321 319 TP,4869,BVC,1103,LIS,1638,,0,320 TP,4869,CCS,2851,FNC,4091,,0,332 TP,4869,CCS,2851,LIS,1638,,0,332 TP,4869,CCS,2851,OPO,1636,,0,332 TP,4869,CMN,1074,AUH,2179,Y,0,333 TP,4869,CMN,1074,LIS,1638,,0,100 319 TP,4869,CNF,2537,LIS,1638,,0,332 343 TP,4869,CPH,609,LIS,1638,,0,320 321 TP,4869,DKR,1084,LIS,1638,,0,321 TP,4869,DME,4029,LIS,1638,,0,320 TP,4869,DUS,345,LIS,1638,,0,319 320 TP,4869,DXB,2188,LIS,1638,Y,0,77W TP,4869,EWR,3494,LIS,1638,,0,343 332 TP,4869,EWR,3494,OPO,1636,,0,332 TP,4869,FAO,1626,BRU,302,Y,0,320 319 TP,4869,FAO,1626,FRA,340,Y,0,32A 321 320 TP,4869,FAO,1626,LIS,1638,,0,319 320 ER4 TP,4869,FAO,1626,MUC,346,Y,0,321 TP,4869,FCO,1555,LIS,1638,,0,320 321 319 TP,4869,FCO,1555,OPO,1636,,0,100 TP,4869,FNC,4091,CCS,2851,,0,332 TP,4869,FNC,4091,LGW,502,,0,319 TP,4869,FNC,4091,LIS,1638,,0,321 319 320 100 332 TP,4869,FNC,4091,OPO,1636,,0,319 320 100 TP,4869,FNC,4091,PDL,1633,Y,0,DH4 TP,4869,FNC,4091,VIE,1613,Y,0,321 TP,4869,FOR,2559,LIS,1638,,0,332 TP,4869,FRA,340,FAO,1626,Y,0,32A 321 320 TP,4869,FRA,340,LIS,1638,,0,320 319 321 TP,4869,FRA,340,OPO,1636,Y,0,321 TP,4869,GIG,2560,LIS,1638,,0,332 343 TP,4869,GIG,2560,OPO,1636,,0,332 TP,4869,GRU,2564,LIS,1638,,0,343 332 TP,4869,GRU,2564,OPO,1636,,0,332 TP,4869,GVA,1665,LIS,1638,,0,320 319 321 TP,4869,GVA,1665,OPO,1636,,0,320 319 TP,4869,HAM,342,LIS,1638,,0,320 319 321 TP,4869,HEL,421,LIS,1638,,0,320 TP,4869,HOR,1628,LIS,1638,,0,319 320 TP,4869,IST,1701,LIS,1638,,0,321 TP,4869,KBP,2939,LIS,1638,Y,0,738 TP,4869,LAD,951,LIS,1638,,0,343 TP,4869,LCG,1220,LIS,1638,Y,0,BEH TP,4869,LGW,502,FNC,4091,,0,319 320 TP,4869,LGW,502,LIS,1638,,0,319 320 TP,4869,LGW,502,OPO,1636,,0,320 319 TP,4869,LHR,507,LIS,1638,,0,319 320 321 TP,4869,LIS,1638,ACC,248,,0,320 TP,4869,LIS,1638,AGP,1230,Y,0,BEH TP,4869,LIS,1638,ALG,210,Y,0,100 ER4 TP,4869,LIS,1638,AMS,580,,0,320 319 TP,4869,LIS,1638,ARN,737,,0,320 TP,4869,LIS,1638,BCN,1218,,0,320 ER4 319 100 TP,4869,LIS,1638,BIO,1216,Y,0,ER4 100 TP,4869,LIS,1638,BKO,1044,,0,319 320 TP,4869,LIS,1638,BLQ,1538,,0,319 320 TP,4869,LIS,1638,BOD,1264,Y,0,100 ER4 TP,4869,LIS,1638,BOS,3448,Y,0,313 TP,4869,LIS,1638,BRU,302,,0,321 320 319 100 TP,4869,LIS,1638,BSB,2531,,0,332 TP,4869,LIS,1638,BUD,1489,,0,320 321 319 TP,4869,LIS,1638,BVC,1103,,0,320 TP,4869,LIS,1638,CCS,2851,,0,332 TP,4869,LIS,1638,CMN,1074,Y,0,100 319 ER4 BEH TP,4869,LIS,1638,CNF,2537,,0,332 343 TP,4869,LIS,1638,CPH,609,,0,321 320 TP,4869,LIS,1638,DKR,1084,,0,321 TP,4869,LIS,1638,DME,4029,,0,320 TP,4869,LIS,1638,DUS,345,,0,319 320 TP,4869,LIS,1638,DXB,2188,Y,0,77W TP,4869,LIS,1638,EWR,3494,,0,343 332 TP,4869,LIS,1638,FAO,1626,,0,319 320 ER4 TP,4869,LIS,1638,FCO,1555,,0,321 319 320 TP,4869,LIS,1638,FNC,4091,,0,319 320 100 321 332 TP,4869,LIS,1638,FOR,2559,,0,332 TP,4869,LIS,1638,FRA,340,,0,319 321 320 TP,4869,LIS,1638,GIG,2560,,0,332 343 TP,4869,LIS,1638,GRU,2564,,0,343 332 TP,4869,LIS,1638,GVA,1665,,0,319 320 321 TP,4869,LIS,1638,HAM,342,,0,319 320 321 TP,4869,LIS,1638,HEL,421,,0,320 TP,4869,LIS,1638,HOR,1628,,0,319 320 TP,4869,LIS,1638,IST,1701,,0,321 TP,4869,LIS,1638,KBP,2939,Y,0,738 TP,4869,LIS,1638,LAD,951,,0,343 TP,4869,LIS,1638,LCG,1220,Y,0,BEH TP,4869,LIS,1638,LGW,502,,0,319 320 TP,4869,LIS,1638,LHR,507,,0,319 320 321 TP,4869,LIS,1638,LUX,629,,0,319 320 100 TP,4869,LIS,1638,LYS,1335,Y,0,100 ER4 TP,4869,LIS,1638,MAD,1229,,0,ER4 319 320 100 TP,4869,LIS,1638,MAN,478,,0,319 320 TP,4869,LIS,1638,MIA,3576,,0,332 343 TP,4869,LIS,1638,MPM,979,,0,332 343 TP,4869,LIS,1638,MRS,1353,Y,0,ER4 100 TP,4869,LIS,1638,MUC,346,,0,320 319 TP,4869,LIS,1638,MXP,1524,,0,320 319 100 TP,4869,LIS,1638,NAT,2597,,0,332 TP,4869,LIS,1638,NCE,1354,Y,0,ER4 100 TP,4869,LIS,1638,OPO,1636,,0,100 320 ER4 319 TP,4869,LIS,1638,ORY,1386,,0,321 319 320 100 TP,4869,LIS,1638,OSL,644,,0,320 TP,4869,LIS,1638,OTP,1657,,0,319 TP,4869,LIS,1638,PDL,1633,,0,320 319 TP,4869,LIS,1638,PHL,3752,Y,0,752 TP,4869,LIS,1638,PIX,1634,,0,320 TP,4869,LIS,1638,POA,2599,,0,332 TP,4869,LIS,1638,PRG,1587,,0,319 320 TP,4869,LIS,1638,PXO,1637,,0,100 319 TP,4869,LIS,1638,RAI,5674,,0,320 TP,4869,LIS,1638,RAK,1075,,0,319 100 TP,4869,LIS,1638,REC,2610,,0,332 TP,4869,LIS,1638,SID,1102,,0,320 TP,4869,LIS,1638,SMA,1617,Y,0,320 TP,4869,LIS,1638,SSA,2621,,0,332 TP,4869,LIS,1638,SVQ,1253,Y,0,BEH TP,4869,LIS,1638,SXF,337,,0,319 320 TP,4869,LIS,1638,TER,1629,,0,332 320 321 319 TP,4869,LIS,1638,TLS,1273,Y,0,100 ER4 TP,4869,LIS,1638,TMS,973,Y,0,313 TP,4869,LIS,1638,TNG,1080,Y,0,BEH TP,4869,LIS,1638,VCE,1551,,0,319 TP,4869,LIS,1638,VCP,2578,,0,332 TP,4869,LIS,1638,VIE,1613,,0,320 319 TP,4869,LIS,1638,VLC,1246,Y,0,ER4 100 TP,4869,LIS,1638,VXE,1106,,0,320 TP,4869,LIS,1638,WAW,679,,0,320 319 TP,4869,LIS,1638,YYZ,193,Y,0,313 TP,4869,LIS,1638,ZRH,1678,,0,320 321 319 TP,4869,LUX,629,LIS,1638,,0,319 320 100 TP,4869,LUX,629,OPO,1636,Y,0,100 TP,4869,LYS,1335,LIS,1638,Y,0,100 ER4 TP,4869,MAD,1229,LIS,1638,,0,100 ER4 319 320 TP,4869,MAD,1229,OPO,1636,Y,0,ER4 TP,4869,MAN,478,LIS,1638,,0,319 320 TP,4869,MIA,3576,LIS,1638,,0,332 343 TP,4869,MPM,979,LIS,1638,,0,332 343 TP,4869,MRS,1353,LIS,1638,Y,0,ER4 100 TP,4869,MUC,346,FAO,1626,Y,0,321 TP,4869,MUC,346,LIS,1638,,0,319 320 TP,4869,MXP,1524,LIS,1638,,0,319 320 100 TP,4869,MXP,1524,OPO,1636,Y,0,ER4 100 TP,4869,NAT,2597,LIS,1638,,0,332 TP,4869,NCE,1354,LIS,1638,Y,0,ER4 100 TP,4869,OPO,1636,AMS,580,,0,100 ER4 TP,4869,OPO,1636,BCN,1218,Y,0,ER4 TP,4869,OPO,1636,BRU,302,Y,0,100 319 ER4 TP,4869,OPO,1636,CCS,2851,,0,332 TP,4869,OPO,1636,EWR,3494,,0,332 TP,4869,OPO,1636,FCO,1555,,0,100 TP,4869,OPO,1636,FNC,4091,,0,319 100 320 TP,4869,OPO,1636,FRA,340,Y,0,321 TP,4869,OPO,1636,GIG,2560,,0,332 TP,4869,OPO,1636,GRU,2564,,0,332 TP,4869,OPO,1636,GVA,1665,,0,320 319 TP,4869,OPO,1636,LGW,502,,0,320 319 TP,4869,OPO,1636,LIS,1638,,0,319 ER4 320 100 TP,4869,OPO,1636,LUX,629,Y,0,100 TP,4869,OPO,1636,MAD,1229,Y,0,ER4 TP,4869,OPO,1636,MXP,1524,Y,0,ER4 100 TP,4869,OPO,1636,ORY,1386,,0,320 319 TP,4869,OPO,1636,PDL,1633,Y,0,320 TP,4869,OPO,1636,TER,1629,Y,0,320 TP,4869,OPO,1636,YYZ,193,Y,0,313 TP,4869,OPO,1636,ZRH,1678,,0,320 319 TP,4869,ORY,1386,LIS,1638,,0,319 321 320 100 TP,4869,ORY,1386,OPO,1636,,0,320 319 TP,4869,OSL,644,LIS,1638,,0,320 TP,4869,OTP,1657,LIS,1638,,0,319 TP,4869,PDL,1633,BOS,3448,Y,0,313 TP,4869,PDL,1633,FNC,4091,Y,0,DH4 TP,4869,PDL,1633,LIS,1638,,0,320 319 TP,4869,PDL,1633,OPO,1636,Y,0,320 TP,4869,PDL,1633,YYZ,193,Y,0,313 TP,4869,PHL,3752,LIS,1638,Y,0,752 TP,4869,PIX,1634,TER,1629,,0,320 TP,4869,POA,2599,LIS,1638,,0,332 TP,4869,PRG,1587,LIS,1638,,0,319 320 TP,4869,PXO,1637,LIS,1638,,0,100 319 TP,4869,RAI,5674,LIS,1638,,0,320 TP,4869,RAK,1075,LIS,1638,,0,319 100 TP,4869,REC,2610,LIS,1638,,0,332 TP,4869,SID,1102,LIS,1638,,0,320 TP,4869,SMA,1617,PDL,1633,Y,0,320 TP,4869,SSA,2621,LIS,1638,,0,332 TP,4869,SVQ,1253,LIS,1638,Y,0,BEH TP,4869,SXF,337,LIS,1638,,0,319 320 TP,4869,TER,1629,LIS,1638,,0,332 320 321 319 TP,4869,TER,1629,OPO,1636,Y,0,320 TP,4869,TLS,1273,LIS,1638,Y,0,100 ER4 TP,4869,TMS,973,LIS,1638,,0,313 TP,4869,TNG,1080,LIS,1638,,0,BEH TP,4869,VCE,1551,LIS,1638,,0,319 TP,4869,VCP,2578,LIS,1638,,0,332 TP,4869,VIE,1613,FNC,4091,Y,0,321 TP,4869,VIE,1613,LIS,1638,,0,320 319 TP,4869,VLC,1246,LIS,1638,Y,0,ER4 100 TP,4869,VXE,1106,LIS,1638,,0,320 TP,4869,WAW,679,LIS,1638,,0,320 319 TP,4869,YYZ,193,LIS,1638,Y,0,313 TP,4869,YYZ,193,OPO,1636,Y,0,313 TP,4869,YYZ,193,PDL,1633,Y,0,313 TP,4869,ZAG,1208,BLQ,1538,,0,319 320 TP,4869,ZRH,1678,LIS,1638,,0,320 321 319 TP,4869,ZRH,1678,OPO,1636,,0,320 319 TR,4936,BDO,3896,SIN,3316,,0,320 TR,4936,BKK,3885,SIN,3316,,0,320 TR,4936,BLR,3131,SIN,3316,,0,320 TR,4936,CAN,3370,SIN,3316,,0,320 TR,4936,CEB,4206,SIN,3316,,0,320 TR,4936,CGK,3275,SIN,3316,,0,320 TR,4936,CNX,3931,SIN,3316,,0,320 TR,4936,COK,3136,SIN,3316,,0,319 TR,4936,CRK,4140,SIN,3316,,0,320 TR,4936,DAC,3076,SIN,3316,,0,320 TR,4936,DPS,3940,SIN,3316,,0,320 TR,4936,HAK,4120,SIN,3316,,0,320 TR,4936,HAN,3199,SIN,3316,,0,320 TR,4936,HDY,3181,SIN,3316,,0,320 TR,4936,HKG,3077,SIN,3316,,0,320 TR,4936,HKT,3179,SIN,3316,,0,320 TR,4936,HYD,\N,SIN,3316,,0,320 TR,4936,JOG,3898,SIN,3316,,0,320 TR,4936,KBV,3174,SIN,3316,,0,320 TR,4936,KLO,2430,SIN,3316,,0,320 TR,4936,KUL,3304,SIN,3316,,0,320 TR,4936,LGK,3305,SIN,3316,,0,320 TR,4936,LJG,4033,SIN,3316,,0,320 TR,4936,MAA,3144,SIN,3316,,0,320 TR,4936,MFM,3121,SIN,3316,,0,320 TR,4936,MLE,3156,SIN,3316,,0,320 TR,4936,MNL,2397,SIN,3316,,0,320 TR,4936,NGB,3387,SIN,3316,,0,320 TR,4936,PEN,3308,SIN,3316,,0,320 TR,4936,PER,3351,SIN,3316,,0,320 TR,4936,PNH,3034,SIN,3316,,0,320 TR,4936,RGN,3239,SIN,3316,,0,320 TR,4936,SGN,3205,SIN,3316,,0,320 TR,4936,SIN,3316,BDO,3896,,0,320 TR,4936,SIN,3316,BKK,3885,,0,320 TR,4936,SIN,3316,BLR,3131,,0,320 TR,4936,SIN,3316,CAN,3370,,0,320 TR,4936,SIN,3316,CEB,4206,,0,320 TR,4936,SIN,3316,CGK,3275,,0,320 TR,4936,SIN,3316,CNX,3931,,0,320 TR,4936,SIN,3316,COK,3136,,0,319 TR,4936,SIN,3316,CRK,4140,,0,320 TR,4936,SIN,3316,DAC,3076,,0,320 TR,4936,SIN,3316,DPS,3940,,0,320 TR,4936,SIN,3316,HAK,4120,,0,320 TR,4936,SIN,3316,HAN,3199,,0,320 TR,4936,SIN,3316,HDY,3181,,0,320 TR,4936,SIN,3316,HKG,3077,,0,320 TR,4936,SIN,3316,HKT,3179,,0,320 TR,4936,SIN,3316,HYD,\N,,0,320 TR,4936,SIN,3316,JOG,3898,,0,320 TR,4936,SIN,3316,KBV,3174,,0,320 TR,4936,SIN,3316,KLO,2430,,0,320 TR,4936,SIN,3316,KUL,3304,,0,320 TR,4936,SIN,3316,LGK,3305,,0,320 TR,4936,SIN,3316,LJG,4033,,0,320 TR,4936,SIN,3316,MAA,3144,,0,320 TR,4936,SIN,3316,MFM,3121,,0,320 TR,4936,SIN,3316,MLE,3156,,0,320 TR,4936,SIN,3316,MNL,2397,,0,320 TR,4936,SIN,3316,NGB,3387,,0,320 TR,4936,SIN,3316,PEN,3308,,0,320 TR,4936,SIN,3316,PER,3351,,0,320 TR,4936,SIN,3316,PNH,3034,,0,320 TR,4936,SIN,3316,RGN,3239,,0,320 TR,4936,SIN,3316,SGN,3205,,0,320 TR,4936,SIN,3316,SUB,3928,,0,320 TR,4936,SIN,3316,SZX,3374,,0,320 TR,4936,SIN,3316,TPE,2276,,0,320 TR,4936,SIN,3316,TRV,3153,,0,320 TR,4936,SIN,3316,TRZ,3152,,0,320 TR,4936,SUB,3928,SIN,3316,,0,320 TR,4936,SZX,3374,SIN,3316,,0,320 TR,4936,TPE,2276,SIN,3316,,0,320 TR,4936,TRV,3153,SIN,3316,,0,320 TR,4936,TRZ,3152,SIN,3316,,0,320 TS,1317,AGP,1230,YUL,146,,0,310 TS,1317,AMS,580,YYC,178,,0,330 TS,1317,AMS,580,YYZ,193,,0,310 TS,1317,ATH,3941,YUL,146,,0,330 TS,1317,ATH,3941,YYZ,193,,0,330 TS,1317,AZS,5810,YUL,146,Y,0,738 TS,1317,BCN,1218,YUL,146,,0,310 TS,1317,BCN,1218,YYZ,193,,0,310 TS,1317,BOD,1264,YUL,146,,0,310 TS,1317,BRU,302,YUL,146,,0,310 TS,1317,CCC,1901,YHZ,73,,0,310 TS,1317,CCC,1901,YUL,146,Y,0,310 TS,1317,CDG,1382,YQB,111,,0,310 TS,1317,CDG,1382,YUL,146,,0,330 310 TS,1317,CDG,1382,YYZ,193,,0,330 TS,1317,CUN,1852,YHZ,73,,0,310 TS,1317,CUN,1852,YQB,111,,0,310 TS,1317,CUN,1852,YUL,146,,0,310 330 TS,1317,CUN,1852,YVR,156,,0,330 TS,1317,CUN,1852,YYC,178,,0,330 TS,1317,CUN,1852,YYZ,193,,0,330 310 TS,1317,DUB,599,YYZ,193,,0,310 TS,1317,FCO,1555,YUL,146,,0,330 310 TS,1317,FCO,1555,YYZ,193,,0,330 TS,1317,FLL,3533,YUL,146,Y,0,310 TS,1317,FLL,3533,YYZ,193,Y,0,738 TS,1317,FRA,340,YYC,178,,0,330 TS,1317,GLA,534,YYC,178,,0,330 TS,1317,GLA,534,YYZ,193,,0,310 TS,1317,HOG,1910,YUL,146,,0,330 TS,1317,HOG,1910,YYZ,193,Y,0,738 TS,1317,LGW,502,YUL,146,,0,310 TS,1317,LGW,502,YVR,156,,0,330 TS,1317,LGW,502,YYC,178,,0,330 TS,1317,LGW,502,YYZ,193,,0,330 TS,1317,LIS,1638,YUL,146,,0,310 TS,1317,LIS,1638,YYZ,193,,0,310 TS,1317,LRM,1759,YHZ,73,,0,310 TS,1317,LYS,1335,YUL,146,,0,310 TS,1317,MAN,478,YVR,156,,0,330 TS,1317,MAN,478,YYC,178,,0,330 TS,1317,MAN,478,YYZ,193,,0,330 310 TS,1317,MBJ,1780,YHZ,73,,0,310 TS,1317,MBJ,1780,YUL,146,Y,0,738 TS,1317,MBJ,1780,YYZ,193,Y,0,738 310 TS,1317,MCO,3878,YHZ,73,,0,310 TS,1317,MCO,3878,YQM,117,Y,0,738 TS,1317,MCO,3878,YUL,146,,0,330 TS,1317,MCO,3878,YYT,189,Y,0,738 TS,1317,MCO,3878,YYZ,193,Y,0,738 310 TS,1317,MRS,1353,YUL,146,,0,310 330 TS,1317,NCE,1354,YUL,146,,0,310 TS,1317,OPO,1636,LIS,1638,,0,310 TS,1317,POP,1761,AZS,5810,Y,0,738 TS,1317,POP,1761,LRM,1759,,0,310 TS,1317,PUJ,1760,YHZ,73,,0,310 TS,1317,PUJ,1760,YQB,111,,0,310 TS,1317,PUJ,1760,YUL,146,,0,310 TS,1317,PUJ,1760,YYZ,193,,0,330 738 TS,1317,PVR,1836,YUL,146,Y,0,738 TS,1317,PVR,1836,YVR,156,,0,330 TS,1317,SNU,1918,CCC,1901,,0,310 TS,1317,SNU,1918,YUL,146,Y,0,310 737 TS,1317,SNU,1918,YYZ,193,Y,0,737 TS,1317,TLS,1273,YUL,146,,0,310 TS,1317,VCE,1551,YUL,146,,0,310 TS,1317,VCE,1551,YYZ,193,,0,310 TS,1317,VRA,1923,SNU,1918,Y,0,310 TS,1317,VRA,1923,YHZ,73,,0,310 TS,1317,VRA,1923,YUL,146,,0,738 310 TS,1317,VRA,1923,YYZ,193,Y,0,738 TS,1317,YHZ,73,MCO,3878,Y,0,738 TS,1317,YQB,111,CDG,1382,,0,310 330 TS,1317,YQB,111,PUJ,1760,,0,310 TS,1317,YQB,111,YUL,146,,0,310 TS,1317,YQM,117,MCO,3878,Y,0,738 TS,1317,YUL,146,AGP,1230,,0,310 TS,1317,YUL,146,ATH,3941,,0,330 TS,1317,YUL,146,BCN,1218,,0,310 TS,1317,YUL,146,BOD,1264,,0,310 TS,1317,YUL,146,BRU,302,,0,310 TS,1317,YUL,146,CCC,1901,Y,0,310 TS,1317,YUL,146,CDG,1382,,0,330 310 TS,1317,YUL,146,CUN,1852,,0,310 330 TS,1317,YUL,146,FCO,1555,,0,330 310 TS,1317,YUL,146,FLL,3533,Y,0,310 TS,1317,YUL,146,HOG,1910,,0,330 TS,1317,YUL,146,LGW,502,,0,310 TS,1317,YUL,146,LIS,1638,,0,310 TS,1317,YUL,146,LYS,1335,,0,310 TS,1317,YUL,146,MBJ,1780,Y,0,738 TS,1317,YUL,146,MCO,3878,,0,330 TS,1317,YUL,146,MRS,1353,,0,310 330 TS,1317,YUL,146,NCE,1354,,0,310 TS,1317,YUL,146,POP,1761,Y,0,738 TS,1317,YUL,146,PUJ,1760,,0,310 TS,1317,YUL,146,PVR,1836,Y,0,738 TS,1317,YUL,146,SNU,1918,Y,0,738 TS,1317,YUL,146,TLS,1273,,0,310 TS,1317,YUL,146,VCE,1551,,0,330 TS,1317,YUL,146,VRA,1923,,0,738 310 TS,1317,YUL,146,YQB,111,,0,310 TS,1317,YUL,146,YYZ,193,,0,310 TS,1317,YVR,156,CUN,1852,,0,330 TS,1317,YVR,156,LGW,502,,0,330 TS,1317,YVR,156,MAN,478,,0,330 TS,1317,YVR,156,PVR,1836,,0,330 TS,1317,YVR,156,YYC,178,,0,330 TS,1317,YYC,178,AMS,580,,0,330 TS,1317,YYC,178,FRA,340,,0,330 TS,1317,YYC,178,GLA,534,,0,330 TS,1317,YYC,178,LGW,502,,0,330 TS,1317,YYC,178,MAN,478,,0,330 TS,1317,YYC,178,YEG,49,,0,330 TS,1317,YYC,178,YVR,156,,0,330 TS,1317,YYT,189,MCO,3878,Y,0,737 TS,1317,YYZ,193,AMS,580,,0,310 TS,1317,YYZ,193,ATH,3941,,0,330 TS,1317,YYZ,193,BCN,1218,,0,310 TS,1317,YYZ,193,CDG,1382,,0,330 TS,1317,YYZ,193,CUN,1852,,0,330 310 TS,1317,YYZ,193,DUB,599,,0,310 TS,1317,YYZ,193,FCO,1555,,0,330 TS,1317,YYZ,193,FLL,3533,Y,0,738 TS,1317,YYZ,193,GLA,534,,0,310 TS,1317,YYZ,193,HOG,1910,Y,0,738 TS,1317,YYZ,193,LGW,502,,0,330 TS,1317,YYZ,193,LIS,1638,,0,310 TS,1317,YYZ,193,MAN,478,,0,310 330 TS,1317,YYZ,193,MBJ,1780,Y,0,738 310 TS,1317,YYZ,193,MCO,3878,Y,0,738 310 TS,1317,YYZ,193,OPO,1636,,0,310 TS,1317,YYZ,193,PUJ,1760,,0,330 738 TS,1317,YYZ,193,SNU,1918,Y,0,738 TS,1317,YYZ,193,VCE,1551,,0,310 TS,1317,YYZ,193,VRA,1923,Y,0,738 TS,1317,YYZ,193,YQB,111,,0,330 TS,1317,YYZ,193,YUL,146,,0,310 TT,4937,ADL,3341,BNE,3320,,0,320 TT,4937,ADL,3341,MEL,3339,,0,320 TT,4937,ADL,3341,SYD,3361,,0,320 TT,4937,ASP,3319,MEL,3339,,0,320 TT,4937,ASP,3319,SYD,3361,,0,320 TT,4937,BNE,3320,ADL,3341,,0,320 TT,4937,BNE,3320,CNS,3322,,0,320 TT,4937,BNE,3320,DRW,3999,,0,320 TT,4937,BNE,3320,MEL,3339,,0,320 TT,4937,BNE,3320,SYD,3361,,0,320 TT,4937,CFS,3356,SYD,3361,,0,320 TT,4937,CNS,3322,BNE,3320,,0,320 TT,4937,CNS,3322,MEL,3339,,0,320 TT,4937,CNS,3322,SYD,3361,,0,320 TT,4937,DRW,3999,BNE,3320,,0,320 TT,4937,HBA,3336,MEL,3339,,0,320 TT,4937,MCY,3325,MEL,3339,,0,320 TT,4937,MEL,3339,ADL,3341,,0,320 TT,4937,MEL,3339,ASP,3319,,0,320 TT,4937,MEL,3339,BNE,3320,,0,320 TT,4937,MEL,3339,CNS,3322,,0,320 TT,4937,MEL,3339,HBA,3336,,0,320 TT,4937,MEL,3339,MCY,3325,,0,320 TT,4937,MEL,3339,MKY,3326,,0,320 TT,4937,MEL,3339,OOL,3321,,0,320 TT,4937,MEL,3339,PER,3351,,0,320 TT,4937,MEL,3339,SYD,3361,,0,320 TT,4937,MKY,3326,MEL,3339,,0,320 TT,4937,OOL,3321,MEL,3339,,0,320 TT,4937,OOL,3321,SYD,3361,,0,320 TT,4937,PER,3351,MEL,3339,,0,320 TT,4937,PER,3351,SYD,3361,,0,320 TT,4937,PPP,3328,SYD,3361,,0,320 TT,4937,SYD,3361,ADL,3341,,0,320 TT,4937,SYD,3361,ASP,3319,,0,320 TT,4937,SYD,3361,BNE,3320,,0,320 TT,4937,SYD,3361,CFS,3356,,0,320 TT,4937,SYD,3361,CNS,3322,,0,320 TT,4937,SYD,3361,MEL,3339,,0,320 TT,4937,SYD,3361,OOL,3321,,0,320 TT,4937,SYD,3361,PER,3351,,0,320 TT,4937,SYD,3361,PPP,3328,,0,320 TU,4870,ABJ,253,TUN,287,,0,320 TU,4870,ALG,210,TUN,287,,0,320 32A TU,4870,AMS,580,TUN,287,,0,319 736 TU,4870,BCN,1218,TUN,287,,0,32A 320 319 TU,4870,BEG,1739,TUN,287,,0,736 32A TU,4870,BEN,1154,TUN,287,,0,320 32A TU,4870,BEY,2177,TUN,287,,0,320 TU,4870,BKO,1044,TUN,287,,0,320 TU,4870,BLQ,1538,TUN,287,,0,320 319 TU,4870,BOD,1264,TUN,287,,0,736 TU,4870,BRU,302,DJE,293,,0,32A TU,4870,BRU,302,MIR,286,,0,32A TU,4870,BRU,302,TUN,287,,0,32A 320 TU,4870,BSL,1423,DJE,293,,0,32A TU,4870,CAI,1128,TUN,287,,0,32A TU,4870,CMN,1074,TUN,287,,0,32A 320 319 TU,4870,DJE,293,BRU,302,,0,32A TU,4870,DJE,293,BSL,1423,,0,32A TU,4870,DJE,293,DUS,345,,0,736 TU,4870,DJE,293,FRA,340,,0,736 TU,4870,DJE,293,GVA,1665,,0,319 32A TU,4870,DJE,293,HAM,342,,0,319 TU,4870,DJE,293,LYS,1335,,0,736 319 TU,4870,DJE,293,MRS,1353,,0,736 TU,4870,DJE,293,MUC,346,,0,736 TU,4870,DJE,293,NCE,1354,,0,736 TU,4870,DJE,293,NTE,1418,,0,32A TU,4870,DJE,293,ORY,1386,,0,319 736 TU,4870,DJE,293,SXB,1435,,0,736 319 TU,4870,DJE,293,SXF,337,,0,319 TU,4870,DJE,293,ZRH,1678,,0,736 32A TU,4870,DKR,1084,TUN,287,,0,320 32A TU,4870,DME,4029,TUN,287,,0,32A TU,4870,DUS,345,DJE,293,,0,736 TU,4870,DUS,345,NBE,7447,,0,736 TU,4870,DUS,345,TUN,287,,0,736 32A TU,4870,DXB,2188,TUN,287,,0,319 TU,4870,FCO,1555,TUN,287,,0,32A 320 319 TU,4870,FRA,340,DJE,293,,0,736 TU,4870,FRA,340,NBE,7447,,0,32A TU,4870,FRA,340,TUN,287,,0,32A 320 TU,4870,GVA,1665,DJE,293,,0,319 32A TU,4870,GVA,1665,MIR,286,,0,32A TU,4870,GVA,1665,TUN,287,,0,32A TU,4870,HAM,342,DJE,293,,0,319 TU,4870,HAM,342,NBE,7447,,0,32A TU,4870,IST,1701,TUN,287,,0,32A 736 320 TU,4870,JED,2072,TUN,287,,0,32A 320 TU,4870,KWI,2176,TUN,287,,0,319 TU,4870,LAQ,5699,TUN,287,,0,32A TU,4870,LHR,507,TUN,287,,0,32A TU,4870,LIS,1638,TUN,287,,0,32A TU,4870,LYS,1335,DJE,293,,0,736 319 TU,4870,LYS,1335,MIR,286,,0,736 32A TU,4870,LYS,1335,TUN,287,,0,32A 320 TU,4870,MAD,1229,DJE,293,,0,32A TU,4870,MAD,1229,TUN,287,,0,32A 320 TU,4870,MED,2074,TUN,287,,0,320 32A TU,4870,MIR,286,BRU,302,,0,32A TU,4870,MIR,286,GVA,1665,,0,32A TU,4870,MIR,286,LYS,1335,,0,736 32A TU,4870,MIR,286,MRS,1353,,0,32A 736 TU,4870,MIR,286,NCE,1354,,0,32A 736 TU,4870,MIR,286,ORY,1386,,0,736 32A TU,4870,MRA,5804,TUN,287,,0,32A 320 319 TU,4870,MRS,1353,DJE,293,,0,736 TU,4870,MRS,1353,MIR,286,,0,32A 736 TU,4870,MRS,1353,TUN,287,,0,320 319 32A 736 TU,4870,MUC,346,DJE,293,,0,736 TU,4870,MUC,346,NBE,7447,,0,736 TU,4870,MUC,346,TUN,287,,0,736 TU,4870,MXP,1524,TUN,287,,0,319 32A 320 TU,4870,NBE,7447,DUS,345,,0,736 TU,4870,NBE,7447,FRA,340,,0,32A TU,4870,NBE,7447,HAM,342,,0,32A TU,4870,NBE,7447,MUC,346,,0,736 TU,4870,NBE,7447,SXF,337,,0,319 TU,4870,NBE,7447,ZRH,1678,,0,319 TU,4870,NCE,1354,DJE,293,,0,736 TU,4870,NCE,1354,MIR,286,,0,32A 736 TU,4870,NCE,1354,TUN,287,,0,32A 320 TU,4870,NKC,1094,TUN,287,,0,32A 320 TU,4870,NTE,1418,DJE,293,,0,32A TU,4870,NTE,1418,TUN,287,,0,736 TU,4870,ORN,231,TUN,287,,0,736 TU,4870,ORY,1386,DJE,293,,0,319 736 TU,4870,ORY,1386,MIR,286,,0,736 32A TU,4870,ORY,1386,TOE,296,,0,736 TU,4870,ORY,1386,TUN,287,,0,32A 320 TU,4870,OUA,246,TUN,287,,0,32A TU,4870,PMO,1512,TUN,287,,0,AT7 TU,4870,SXB,1435,DJE,293,,0,736 319 TU,4870,SXB,1435,TUN,287,,0,736 TU,4870,SXF,337,DJE,293,,0,319 TU,4870,SXF,337,NBE,7447,,0,319 TU,4870,TIP,1157,TUN,287,,0,32A 320 TU,4870,TLS,1273,TUN,287,,0,736 TU,4870,TOB,5697,TUN,287,,0,32A 320 TU,4870,TOE,296,ORY,1386,,0,736 TU,4870,TUN,287,ABJ,253,,0,320 TU,4870,TUN,287,ALG,210,,0,320 32A TU,4870,TUN,287,AMS,580,,0,319 736 TU,4870,TUN,287,BCN,1218,,0,32A 320 319 TU,4870,TUN,287,BEG,1739,,0,736 32A TU,4870,TUN,287,BEN,1154,,0,320 32A TU,4870,TUN,287,BEY,2177,,0,320 TU,4870,TUN,287,BKO,1044,,0,32A TU,4870,TUN,287,BLQ,1538,,0,320 319 TU,4870,TUN,287,BOD,1264,,0,736 TU,4870,TUN,287,BRU,302,,0,32A 320 TU,4870,TUN,287,CAI,1128,,0,32A TU,4870,TUN,287,CMN,1074,,0,32A 320 319 TU,4870,TUN,287,DKR,1084,,0,320 32A TU,4870,TUN,287,DME,4029,,0,32A TU,4870,TUN,287,DUS,345,,0,736 32A TU,4870,TUN,287,DXB,2188,,0,319 TU,4870,TUN,287,FCO,1555,,0,32A 320 319 TU,4870,TUN,287,FRA,340,,0,32A 320 TU,4870,TUN,287,GVA,1665,,0,32A TU,4870,TUN,287,IST,1701,,0,32A 736 320 TU,4870,TUN,287,JED,2072,,0,320 32A TU,4870,TUN,287,KWI,2176,,0,319 TU,4870,TUN,287,LAQ,5699,,0,32A TU,4870,TUN,287,LHR,507,,0,32A TU,4870,TUN,287,LIS,1638,,0,32A TU,4870,TUN,287,LYS,1335,,0,32A 320 TU,4870,TUN,287,MAD,1229,,0,32A 320 TU,4870,TUN,287,MED,2074,,0,320 32A TU,4870,TUN,287,MRA,5804,,0,32A 320 319 TU,4870,TUN,287,MRS,1353,,0,320 319 32A 736 TU,4870,TUN,287,MUC,346,,0,736 TU,4870,TUN,287,MXP,1524,,0,319 32A 320 TU,4870,TUN,287,NCE,1354,,0,32A 320 TU,4870,TUN,287,NKC,1094,,0,32A 320 TU,4870,TUN,287,NTE,1418,,0,736 TU,4870,TUN,287,ORN,231,,0,736 TU,4870,TUN,287,ORY,1386,,0,320 32A TU,4870,TUN,287,OUA,246,,0,320 TU,4870,TUN,287,PMO,1512,,0,AT7 TU,4870,TUN,287,SXB,1435,,0,736 TU,4870,TUN,287,TIP,1157,,0,32A 320 TU,4870,TUN,287,TLS,1273,,0,736 TU,4870,TUN,287,TOB,5697,,0,32A 320 TU,4870,TUN,287,VCE,1551,,0,319 32A TU,4870,TUN,287,VIE,1613,,0,32A TU,4870,TUN,287,ZRH,1678,,0,736 320 TU,4870,VCE,1551,TUN,287,,0,319 32A TU,4870,VIE,1613,TUN,287,,0,32A TU,4870,ZRH,1678,DJE,293,,0,736 32A TU,4870,ZRH,1678,NBE,7447,,0,319 TU,4870,ZRH,1678,TUN,287,,0,736 320 TV,5333,BPX,6396,LXA,4097,,0,319 TV,5333,CKG,3393,LXA,4097,,0,319 TV,5333,CKG,3393,SHA,3391,,0,319 TV,5333,CTU,3395,HGH,3386,,0,319 TV,5333,CTU,3395,KWE,3394,,0,319 TV,5333,CTU,3395,LXA,4097,,0,319 TV,5333,CTU,3395,LZY,6402,,0,319 TV,5333,CTU,3395,SHA,3391,,0,319 TV,5333,CTU,3395,SZX,3374,,0,319 TV,5333,CTU,3395,XMN,3383,,0,319 TV,5333,CTU,3395,XNN,6366,,0,319 TV,5333,HGH,3386,CTU,3395,,0,319 TV,5333,INC,4085,LXA,4097,,0,319 TV,5333,INC,4085,PEK,3364,,0,319 TV,5333,KWE,3394,CTU,3395,,0,319 TV,5333,LHW,3378,LXA,4097,,0,319 TV,5333,LHW,3378,TYN,3369,,0,319 TV,5333,LXA,4097,BPX,6396,,0,319 TV,5333,LXA,4097,CKG,3393,,0,319 TV,5333,LXA,4097,CTU,3395,,0,319 TV,5333,LXA,4097,INC,4085,,0,319 TV,5333,LXA,4097,LHW,3378,,0,319 TV,5333,LXA,4097,LZY,6402,,0,319 TV,5333,LXA,4097,MIG,6400,,0,319 TV,5333,LXA,4097,NGQ,7932,,0,319 TV,5333,LXA,4097,XNN,6366,,0,319 TV,5333,LZY,6402,CTU,3395,,0,319 TV,5333,LZY,6402,LXA,4097,,0,319 TV,5333,MIG,6400,LXA,4097,,0,319 TV,5333,NGQ,7932,LXA,4097,,0,319 TV,5333,NKG,3388,XNN,6366,,0,319 TV,5333,PEK,3364,INC,4085,,0,319 TV,5333,SHA,3391,CKG,3393,,0,319 TV,5333,SHA,3391,CTU,3395,,0,319 TV,5333,SZX,3374,CTU,3395,,0,319 TV,5333,TYN,3369,LHW,3378,,0,319 TV,5333,XMN,3383,CTU,3395,,0,319 TV,5333,XNN,6366,CTU,3395,,0,319 TV,5333,XNN,6366,LXA,4097,,0,319 TV,5333,XNN,6366,NKG,3388,,0,319 TV,5333,XNN,6366,YUS,7894,,0,319 TV,5333,YUS,7894,XNN,6366,,0,319 TW,16624,BKK,3885,ICN,3930,,0,737 TW,16624,CJU,2370,GMP,2378,,0,737 TW,16624,CJU,2370,TAE,2381,,0,737 TW,16624,CTS,2287,ICN,3930,,0,737 TW,16624,FUK,2305,ICN,3930,,0,737 TW,16624,GMP,2378,CJU,2370,,0,737 TW,16624,GMP,2378,TSA,2275,,0,737 TW,16624,HSG,5996,ICN,3930,,0,737 TW,16624,ICN,3930,BKK,3885,,0,737 TW,16624,ICN,3930,CTS,2287,,0,737 TW,16624,ICN,3930,FUK,2305,,0,737 TW,16624,ICN,3930,HSG,5996,,0,737 TW,16624,ICN,3930,TNA,4108,,0,737 TW,16624,TAE,2381,CJU,2370,,0,737 TW,16624,TNA,4108,ICN,3930,,0,737 TW,16624,TSA,2275,GMP,2378,,0,737 TX,567,CAY,2774,ORY,1386,,0,333 TX,567,DZA,915,TNR,918,Y,0,332 TX,567,FDF,2878,ORY,1386,,0,333 332 TX,567,FDF,2878,PTP,2881,,0,AT7 TX,567,FDF,2878,SLU,2893,,0,AT7 TX,567,ORY,1386,CAY,2774,,0,333 TX,567,ORY,1386,DZA,915,Y,0,332 333 TX,567,ORY,1386,FDF,2878,,0,333 332 TX,567,ORY,1386,PAP,1897,,0,333 TX,567,ORY,1386,PTP,2881,,0,333 332 TX,567,ORY,1386,RUN,916,Y,0,747 TX,567,ORY,1386,SXM,2899,,0,332 TX,567,PAP,1897,PTP,2881,,0,AT7 TX,567,PAP,1897,SDQ,1762,,0,333 TX,567,PTP,2881,FDF,2878,,0,AT7 TX,567,PTP,2881,ORY,1386,,0,333 332 TX,567,PTP,2881,PAP,1897,,0,AT7 TX,567,PTP,2881,SDQ,1762,,0,AT7 TX,567,PTP,2881,SFG,2879,,0,AT7 TX,567,RUN,916,ORY,1386,Y,0,747 TX,567,SBH,6460,SXM,2899,,0,CNA TX,567,SDQ,1762,ORY,1386,,0,333 TX,567,SDQ,1762,PTP,2881,,0,AT7 TX,567,SFG,2879,PTP,2881,,0,AT7 TX,567,SLU,2893,FDF,2878,,0,AT7 TX,567,SXM,2899,ORY,1386,,0,332 TX,567,SXM,2899,SBH,6460,,0,CNA TX,567,TNR,918,ORY,1386,Y,0,330 TY,2825,BMY,5920,GEA,2001,,0,DHT TY,2825,BMY,5920,KOC,1999,,0,DHT TY,2825,GEA,2001,ILP,5921,,0,ATR TY,2825,GEA,2001,KNQ,1998,,0,ATR DHT TY,2825,GEA,2001,KOC,1999,,0,DHT TY,2825,GEA,2001,LIF,2000,,0,ATR TY,2825,GEA,2001,MEE,2002,,0,ATR TY,2825,GEA,2001,TGJ,5919,,0,DHT TY,2825,GEA,2001,TOU,2003,,0,DHT TY,2825,GEA,2001,UVE,2004,,0,ATR DHT TY,2825,ILP,5921,GEA,2001,,0,ATR TY,2825,KNQ,1998,GEA,2001,,0,ATR DHT TY,2825,KOC,1999,BMY,5920,,0,DHT TY,2825,KOC,1999,GEA,2001,,0,DHT TY,2825,LIF,2000,GEA,2001,,0,ATR TY,2825,LIF,2000,TGJ,5919,,0,DHT TY,2825,LIF,2000,UVE,2004,,0,DHT TY,2825,MEE,2002,GEA,2001,,0,ATR TY,2825,TGJ,5919,GEA,2001,,0,DHT TY,2825,TGJ,5919,LIF,2000,,0,DHT TY,2825,TOU,2003,GEA,2001,,0,DHT TY,2825,UVE,2004,GEA,2001,,0,ATR DHT TY,2825,UVE,2004,LIF,2000,,0,DHT TZ,17891,BKK,3885,SIN,3316,,0,772 TZ,17891,HKG,3077,SIN,3316,,0,772 TZ,17891,ICN,3930,TPE,2276,,0,772 TZ,17891,NKG,3388,SIN,3316,,0,772 TZ,17891,NRT,2279,TPE,2276,,0,772 TZ,17891,OOL,3321,SIN,3316,,0,772 TZ,17891,PER,3351,SIN,3316,,0,772 TZ,17891,SHE,4144,TAO,3390,,0,772 TZ,17891,SIN,3316,BKK,3885,,0,772 TZ,17891,SIN,3316,HKG,3077,,0,772 TZ,17891,SIN,3316,NKG,3388,,0,772 TZ,17891,SIN,3316,OOL,3321,,0,772 TZ,17891,SIN,3316,PER,3351,,0,772 TZ,17891,SIN,3316,SYD,3361,,0,772 TZ,17891,SIN,3316,TAO,3390,,0,772 TZ,17891,SIN,3316,TPE,2276,,0,772 TZ,17891,SIN,3316,TSN,3368,,0,772 TZ,17891,SYD,3361,SIN,3316,,0,772 TZ,17891,TAO,3390,SHE,4144,,0,772 TZ,17891,TAO,3390,SIN,3316,,0,772 TZ,17891,TPE,2276,ICN,3930,,0,772 TZ,17891,TPE,2276,NRT,2279,,0,772 TZ,17891,TPE,2276,SIN,3316,,0,772 TZ,17891,TSN,3368,SIN,3316,,0,772 U2,2297,ABZ,532,LGW,502,,0,319 U2,2297,ABZ,532,LTN,492,,0,319 320 U2,2297,ACE,1055,LGW,502,,0,320 U2,2297,ACE,1055,LPL,491,,0,320 U2,2297,ADB,1706,LGW,502,,0,320 U2,2297,AGA,1064,CDG,1382,,0,319 U2,2297,AGA,1064,LGW,502,,0,319 U2,2297,AGA,1064,LYS,1335,,0,319 U2,2297,AGA,1064,SXF,337,,0,320 U2,2297,AGP,1230,BFS,465,,0,319 U2,2297,AGP,1230,BRS,490,,0,320 319 U2,2297,AGP,1230,BSL,1423,,0,319 320 U2,2297,AGP,1230,CDG,1382,,0,319 320 U2,2297,AGP,1230,GLA,534,,0,320 319 U2,2297,AGP,1230,GVA,1665,,0,319 320 U2,2297,AGP,1230,LGW,502,,0,320 319 U2,2297,AGP,1230,LPL,491,,0,319 U2,2297,AGP,1230,LTN,492,,0,319 320 U2,2297,AGP,1230,MAN,478,,0,319 320 U2,2297,AGP,1230,MXP,1524,,0,319 320 U2,2297,AGP,1230,NCL,521,,0,319 320 U2,2297,AGP,1230,SEN,508,,0,319 U2,2297,AGP,1230,STN,548,,0,319 U2,2297,AGP,1230,SXF,337,,0,320 319 U2,2297,AHO,1517,MXP,1524,,0,319 U2,2297,AJA,1324,BSL,1423,,0,319 U2,2297,AJA,1324,CDG,1382,,0,319 U2,2297,AJA,1324,GVA,1665,,0,319 U2,2297,AJA,1324,LGW,502,,0,320 U2,2297,AJA,1324,LYS,1335,,0,319 U2,2297,ALC,1212,BFS,465,,0,319 U2,2297,ALC,1212,BRS,490,,0,319 320 U2,2297,ALC,1212,BSL,1423,,0,320 319 U2,2297,ALC,1212,EDI,535,,0,319 U2,2297,ALC,1212,GLA,534,,0,319 320 U2,2297,ALC,1212,GVA,1665,,0,319 320 U2,2297,ALC,1212,LGW,502,,0,319 320 U2,2297,ALC,1212,LPL,491,,0,320 319 U2,2297,ALC,1212,LTN,492,,0,319 320 U2,2297,ALC,1212,MAN,478,,0,319 320 U2,2297,ALC,1212,NCL,521,,0,320 319 U2,2297,ALC,1212,SEN,508,,0,319 U2,2297,AMS,580,BFS,465,,0,319 U2,2297,AMS,580,BOD,1264,,0,319 U2,2297,AMS,580,BRS,490,,0,320 319 U2,2297,AMS,580,BSL,1423,,0,319 320 U2,2297,AMS,580,EDI,535,,0,320 319 U2,2297,AMS,580,FCO,1555,,0,319 U2,2297,AMS,580,GLA,534,,0,319 U2,2297,AMS,580,GVA,1665,,0,319 320 U2,2297,AMS,580,LGW,502,,0,319 320 U2,2297,AMS,580,LIS,1638,,0,319 U2,2297,AMS,580,LPL,491,,0,319 320 U2,2297,AMS,580,LTN,492,,0,320 319 U2,2297,AMS,580,MAN,478,,0,320 319 U2,2297,AMS,580,MXP,1524,,0,319 320 U2,2297,AMS,580,NCL,521,,0,319 U2,2297,AMS,580,PRG,1587,,0,319 U2,2297,AMS,580,SEN,508,,0,319 U2,2297,AMS,580,STN,548,,0,320 319 U2,2297,AMS,580,SXF,337,,0,319 320 U2,2297,ARN,737,GVA,1665,,0,319 U2,2297,ATH,3941,EDI,535,,0,319 320 U2,2297,ATH,3941,FCO,1555,,0,319 U2,2297,ATH,3941,GVA,1665,,0,319 U2,2297,ATH,3941,HAM,342,,0,319 U2,2297,ATH,3941,LGW,502,,0,319 320 U2,2297,ATH,3941,MAN,478,,0,320 U2,2297,ATH,3941,MXP,1524,,0,319 320 U2,2297,ATH,3941,ORY,1386,,0,320 U2,2297,ATH,3941,SXF,337,,0,319 U2,2297,AYT,1688,BSL,1423,,0,320 U2,2297,AYT,1688,LGW,502,,0,320 319 U2,2297,AYT,1688,MAN,478,,0,320 U2,2297,BCN,1218,BFS,465,,0,319 U2,2297,BCN,1218,BRS,490,,0,319 U2,2297,BCN,1218,BSL,1423,,0,320 319 U2,2297,BCN,1218,CDG,1382,,0,319 U2,2297,BCN,1218,GVA,1665,,0,319 320 U2,2297,BCN,1218,LGW,502,,0,319 320 U2,2297,BCN,1218,LPL,491,,0,319 U2,2297,BCN,1218,LTN,492,,0,319 320 U2,2297,BCN,1218,LYS,1335,,0,319 U2,2297,BCN,1218,MXP,1524,,0,320 319 U2,2297,BCN,1218,NCE,1354,,0,319 320 U2,2297,BCN,1218,NCL,521,,0,319 320 U2,2297,BCN,1218,SEN,508,,0,319 U2,2297,BCN,1218,SXF,337,,0,319 320 U2,2297,BDS,1506,BSL,1423,,0,320 U2,2297,BDS,1506,GVA,1665,,0,319 320 U2,2297,BDS,1506,MXP,1524,,0,319 320 U2,2297,BEG,1739,FCO,1555,,0,319 U2,2297,BEG,1739,GVA,1665,,0,319 U2,2297,BEG,1739,MXP,1524,,0,319 U2,2297,BES,1403,LYS,1335,,0,319 U2,2297,BFS,465,AGP,1230,,0,319 U2,2297,BFS,465,ALC,1212,,0,319 U2,2297,BFS,465,AMS,580,,0,319 U2,2297,BFS,465,BCN,1218,,0,319 U2,2297,BFS,465,BHX,469,,0,319 U2,2297,BFS,465,BRS,490,,0,319 U2,2297,BFS,465,CDG,1382,,0,319 U2,2297,BFS,465,EDI,535,,0,319 320 U2,2297,BFS,465,FAO,1626,,0,319 U2,2297,BFS,465,GLA,534,,0,319 320 U2,2297,BFS,465,KRK,669,,0,319 U2,2297,BFS,465,LGW,502,,0,319 U2,2297,BFS,465,LPL,491,,0,320 319 U2,2297,BFS,465,LTN,492,,0,319 320 U2,2297,BFS,465,MAN,478,,0,319 U2,2297,BFS,465,MLA,1606,,0,319 U2,2297,BFS,465,NCE,1354,,0,319 U2,2297,BFS,465,NCL,521,,0,319 320 U2,2297,BFS,465,PMI,3998,,0,319 U2,2297,BFS,465,STN,548,,0,319 320 U2,2297,BGO,636,LGW,502,,0,319 U2,2297,BHX,469,BFS,465,,0,319 U2,2297,BIA,1321,CDG,1382,,0,319 U2,2297,BIA,1321,GVA,1665,,0,320 319 U2,2297,BIA,1321,LGW,502,,0,319 U2,2297,BIA,1321,LYS,1335,,0,319 U2,2297,BIA,1321,TLS,1273,,0,319 U2,2297,BIO,1216,GVA,1665,,0,319 U2,2297,BIO,1216,LIS,1638,,0,319 U2,2297,BIO,1216,MAN,478,,0,319 U2,2297,BIO,1216,STN,548,,0,320 319 U2,2297,BIQ,1280,CDG,1382,,0,319 U2,2297,BJV,4315,BRS,490,,0,320 U2,2297,BJV,4315,EDI,535,,0,320 U2,2297,BJV,4315,LGW,502,,0,320 U2,2297,BJV,4315,LPL,491,,0,319 U2,2297,BJV,4315,STN,548,,0,319 U2,2297,BLQ,1538,CDG,1382,,0,319 U2,2297,BLQ,1538,LGW,502,,0,320 319 U2,2297,BOD,1264,AMS,580,,0,319 U2,2297,BOD,1264,BRS,490,,0,319 320 U2,2297,BOD,1264,BRU,302,,0,320 U2,2297,BOD,1264,BSL,1423,,0,319 320 U2,2297,BOD,1264,GVA,1665,,0,319 320 U2,2297,BOD,1264,LGW,502,,0,319 U2,2297,BOD,1264,LIL,1399,,0,319 U2,2297,BOD,1264,LIS,1638,,0,319 U2,2297,BOD,1264,LTN,492,,0,319 U2,2297,BOD,1264,LYS,1335,,0,319 U2,2297,BOD,1264,MXP,1524,,0,319 U2,2297,BOD,1264,NCE,1354,,0,319 320 U2,2297,BOD,1264,RAK,1075,,0,319 320 U2,2297,BRI,1501,CDG,1382,,0,319 U2,2297,BRI,1501,LGW,502,,0,319 U2,2297,BRI,1501,MXP,1524,,0,319 320 U2,2297,BRS,490,AGP,1230,,0,320 319 U2,2297,BRS,490,ALC,1212,,0,319 320 U2,2297,BRS,490,AMS,580,,0,320 319 U2,2297,BRS,490,BCN,1218,,0,319 U2,2297,BRS,490,BFS,465,,0,319 U2,2297,BRS,490,BJV,4315,,0,320 U2,2297,BRS,490,BOD,1264,,0,319 320 U2,2297,BRS,490,CDG,1382,,0,319 320 U2,2297,BRS,490,CFU,1460,,0,320 U2,2297,BRS,490,CPH,609,,0,319 U2,2297,BRS,490,DLM,1715,,0,320 U2,2297,BRS,490,EDI,535,,0,320 319 U2,2297,BRS,490,FAO,1626,,0,319 320 U2,2297,BRS,490,FCO,1555,,0,320 U2,2297,BRS,490,FNC,4091,,0,320 U2,2297,BRS,490,FUE,1051,,0,319 320 U2,2297,BRS,490,GLA,534,,0,319 U2,2297,BRS,490,GVA,1665,,0,320 319 U2,2297,BRS,490,HER,1452,,0,320 U2,2297,BRS,490,INV,533,,0,319 U2,2297,BRS,490,KEF,16,,0,320 319 U2,2297,BRS,490,KRK,669,,0,319 U2,2297,BRS,490,LIS,1638,,0,320 U2,2297,BRS,490,MAD,1229,,0,320 319 U2,2297,BRS,490,MJV,1227,,0,319 320 U2,2297,BRS,490,NCE,1354,,0,319 320 U2,2297,BRS,490,NCL,521,,0,319 320 U2,2297,BRS,490,PFO,1198,,0,320 U2,2297,BRS,490,PMI,3998,,0,320 319 U2,2297,BRS,490,PRG,1587,,0,319 U2,2297,BRS,490,PSA,1562,,0,320 319 U2,2297,BRS,490,RAK,1075,,0,320 319 U2,2297,BRS,490,SXF,337,,0,319 U2,2297,BRS,490,TFS,1056,,0,320 319 U2,2297,BRS,490,TLS,1273,,0,320 319 U2,2297,BRU,302,BOD,1264,,0,320 U2,2297,BRU,302,BSL,1423,,0,319 U2,2297,BRU,302,GVA,1665,,0,320 319 U2,2297,BRU,302,LGW,502,,0,319 U2,2297,BRU,302,LYS,1335,,0,319 U2,2297,BRU,302,MXP,1524,,0,319 U2,2297,BRU,302,NAP,1561,,0,319 U2,2297,BRU,302,NCE,1354,,0,320 319 U2,2297,BRU,302,SXF,337,,0,319 U2,2297,BRU,302,TLS,1273,,0,319 U2,2297,BSL,1423,AGP,1230,,0,319 320 U2,2297,BSL,1423,AJA,1324,,0,319 U2,2297,BSL,1423,ALC,1212,,0,320 319 U2,2297,BSL,1423,AMS,580,,0,319 320 U2,2297,BSL,1423,AYT,1688,,0,320 U2,2297,BSL,1423,BCN,1218,,0,319 320 U2,2297,BSL,1423,BDS,1506,,0,320 U2,2297,BSL,1423,BOD,1264,,0,319 320 U2,2297,BSL,1423,BRU,302,,0,319 U2,2297,BSL,1423,BUD,1489,,0,319 320 U2,2297,BSL,1423,CAG,1519,,0,319 U2,2297,BSL,1423,CPH,609,,0,320 319 U2,2297,BSL,1423,CTA,1509,,0,320 U2,2297,BSL,1423,DRS,338,,0,319 320 U2,2297,BSL,1423,EDI,535,,0,320 319 U2,2297,BSL,1423,FAO,1626,,0,319 U2,2297,BSL,1423,FCO,1555,,0,319 U2,2297,BSL,1423,FUE,1051,,0,320 U2,2297,BSL,1423,HAM,342,,0,320 319 U2,2297,BSL,1423,KEF,16,,0,320 U2,2297,BSL,1423,KRK,669,,0,319 U2,2297,BSL,1423,LCA,1197,,0,320 U2,2297,BSL,1423,LGW,502,,0,320 319 U2,2297,BSL,1423,LIS,1638,,0,319 U2,2297,BSL,1423,LPA,1054,,0,320 U2,2297,BSL,1423,MAD,1229,,0,319 320 U2,2297,BSL,1423,MAN,478,,0,320 319 U2,2297,BSL,1423,MPL,1359,,0,319 U2,2297,BSL,1423,NAP,1561,,0,319 320 U2,2297,BSL,1423,NCE,1354,,0,319 320 U2,2297,BSL,1423,NTE,1418,,0,319 320 U2,2297,BSL,1423,OLB,1520,,0,319 U2,2297,BSL,1423,OPO,1636,,0,319 320 U2,2297,BSL,1423,PMI,3998,,0,319 320 U2,2297,BSL,1423,PRN,1742,,0,320 319 U2,2297,BSL,1423,RAK,1075,,0,320 319 U2,2297,BSL,1423,SCQ,1243,,0,320 319 U2,2297,BSL,1423,SKG,1486,,0,320 319 U2,2297,BSL,1423,SPU,1206,,0,319 U2,2297,BSL,1423,SVQ,1253,,0,320 319 U2,2297,BSL,1423,SXF,337,,0,320 319 U2,2297,BSL,1423,TFS,1056,,0,320 U2,2297,BSL,1423,TLS,1273,,0,319 U2,2297,BSL,1423,TLV,1590,,0,320 U2,2297,BSL,1423,VCE,1551,,0,319 320 U2,2297,BUD,1489,BSL,1423,,0,319 320 U2,2297,BUD,1489,CDG,1382,,0,319 U2,2297,BUD,1489,GVA,1665,,0,319 320 U2,2297,BUD,1489,LGW,502,,0,319 U2,2297,BUD,1489,LTN,492,,0,319 320 U2,2297,BUD,1489,SXF,337,,0,319 320 U2,2297,CAG,1519,BSL,1423,,0,319 U2,2297,CAG,1519,GVA,1665,,0,319 U2,2297,CAG,1519,MXP,1524,,0,320 319 U2,2297,CAG,1519,STN,548,,0,319 U2,2297,CAG,1519,SXF,337,,0,320 U2,2297,CDG,1382,AGA,1064,,0,319 U2,2297,CDG,1382,AGP,1230,,0,319 320 U2,2297,CDG,1382,AJA,1324,,0,319 U2,2297,CDG,1382,BCN,1218,,0,319 U2,2297,CDG,1382,BFS,465,,0,319 U2,2297,CDG,1382,BIA,1321,,0,319 U2,2297,CDG,1382,BIQ,1280,,0,319 U2,2297,CDG,1382,BLQ,1538,,0,319 U2,2297,CDG,1382,BRI,1501,,0,319 U2,2297,CDG,1382,BRS,490,,0,319 320 U2,2297,CDG,1382,BUD,1489,,0,319 U2,2297,CDG,1382,CMN,1074,,0,319 U2,2297,CDG,1382,CPH,609,,0,319 320 U2,2297,CDG,1382,CTA,1509,,0,319 U2,2297,CDG,1382,EDI,535,,0,319 U2,2297,CDG,1382,GLA,534,,0,319 U2,2297,CDG,1382,KRK,669,,0,319 U2,2297,CDG,1382,LGW,502,,0,319 U2,2297,CDG,1382,LIS,1638,,0,319 U2,2297,CDG,1382,LPL,491,,0,319 320 U2,2297,CDG,1382,LTN,492,,0,319 320 U2,2297,CDG,1382,MAD,1229,,0,319 U2,2297,CDG,1382,MXP,1524,,0,319 320 U2,2297,CDG,1382,NAP,1561,,0,319 320 U2,2297,CDG,1382,NCE,1354,,0,320 319 U2,2297,CDG,1382,OPO,1636,,0,319 U2,2297,CDG,1382,PRG,1587,,0,319 U2,2297,CDG,1382,RAK,1075,,0,320 319 U2,2297,CDG,1382,TFS,1056,,0,320 U2,2297,CDG,1382,TLS,1273,,0,319 320 U2,2297,CDG,1382,VCE,1551,,0,320 319 U2,2297,CFU,1460,BRS,490,,0,320 U2,2297,CFU,1460,LGW,502,,0,320 U2,2297,CFU,1460,LTN,492,,0,320 U2,2297,CFU,1460,MAN,478,,0,320 U2,2297,CGN,344,LGW,502,,0,319 U2,2297,CHQ,1474,LGW,502,,0,320 U2,2297,CMN,1074,CDG,1382,,0,319 U2,2297,CMN,1074,LYS,1335,,0,319 U2,2297,CMN,1074,MXP,1524,,0,320 319 U2,2297,CPH,609,BRS,490,,0,319 U2,2297,CPH,609,BSL,1423,,0,320 319 U2,2297,CPH,609,CDG,1382,,0,319 320 U2,2297,CPH,609,EDI,535,,0,319 U2,2297,CPH,609,FCO,1555,,0,319 U2,2297,CPH,609,GVA,1665,,0,319 320 U2,2297,CPH,609,HAM,342,,0,319 U2,2297,CPH,609,LGW,502,,0,319 320 U2,2297,CPH,609,MAN,478,,0,319 320 U2,2297,CPH,609,MXP,1524,,0,319 U2,2297,CPH,609,STN,548,,0,319 320 U2,2297,CPH,609,SXF,337,,0,320 319 U2,2297,CTA,1509,BSL,1423,,0,320 U2,2297,CTA,1509,CDG,1382,,0,319 U2,2297,CTA,1509,GVA,1665,,0,319 U2,2297,CTA,1509,HAM,342,,0,319 U2,2297,CTA,1509,LGW,502,,0,319 U2,2297,CTA,1509,LTN,492,,0,320 319 U2,2297,CTA,1509,MAN,478,,0,319 U2,2297,CTA,1509,MXP,1524,,0,319 320 U2,2297,CTA,1509,NAP,1561,,0,319 U2,2297,DBV,1200,EDI,535,,0,320 U2,2297,DBV,1200,GVA,1665,,0,320 U2,2297,DBV,1200,LGW,502,,0,319 320 U2,2297,DBV,1200,STN,548,,0,319 U2,2297,DLM,1715,BRS,490,,0,320 U2,2297,DLM,1715,EDI,535,,0,320 319 U2,2297,DLM,1715,LGW,502,,0,320 319 U2,2297,DLM,1715,MAN,478,,0,320 U2,2297,DLM,1715,STN,548,,0,319 320 U2,2297,DME,4029,LGW,502,,0,320 U2,2297,DME,4029,MAN,478,,0,319 320 U2,2297,DRS,338,BSL,1423,,0,319 320 U2,2297,DTM,373,LTN,492,,0,319 U2,2297,DUS,345,LGW,502,,0,319 U2,2297,EDI,535,ALC,1212,,0,319 U2,2297,EDI,535,AMS,580,,0,320 319 U2,2297,EDI,535,ATH,3941,,0,319 320 U2,2297,EDI,535,BFS,465,,0,319 320 U2,2297,EDI,535,BJV,4315,,0,320 U2,2297,EDI,535,BRS,490,,0,320 319 U2,2297,EDI,535,BSL,1423,,0,320 319 U2,2297,EDI,535,CDG,1382,,0,319 U2,2297,EDI,535,CPH,609,,0,319 U2,2297,EDI,535,DBV,1200,,0,320 U2,2297,EDI,535,DLM,1715,,0,320 319 U2,2297,EDI,535,GVA,1665,,0,319 320 U2,2297,EDI,535,HAM,342,,0,319 U2,2297,EDI,535,HER,1452,,0,320 U2,2297,EDI,535,KEF,16,,0,319 U2,2297,EDI,535,KRK,669,,0,319 320 U2,2297,EDI,535,LGW,502,,0,319 320 U2,2297,EDI,535,LIS,1638,,0,319 320 U2,2297,EDI,535,LTN,492,,0,320 319 U2,2297,EDI,535,LYS,1335,,0,319 U2,2297,EDI,535,MAD,1229,,0,319 320 U2,2297,EDI,535,MUC,346,,0,319 U2,2297,EDI,535,MXP,1524,,0,319 U2,2297,EDI,535,NAP,1561,,0,320 319 U2,2297,EDI,535,NCE,1354,,0,319 U2,2297,EDI,535,PFO,1198,,0,320 U2,2297,EDI,535,PMI,3998,,0,319 U2,2297,EDI,535,PRG,1587,,0,319 320 U2,2297,EDI,535,SEN,508,,0,319 U2,2297,EDI,535,STN,548,,0,320 319 U2,2297,EDI,535,SXF,337,,0,319 U2,2297,EDI,535,TFS,1056,,0,320 U2,2297,EFL,1455,LGW,502,,0,319 320 U2,2297,FAO,1626,BFS,465,,0,319 U2,2297,FAO,1626,BRS,490,,0,319 320 U2,2297,FAO,1626,BSL,1423,,0,319 U2,2297,FAO,1626,GLA,534,,0,319 U2,2297,FAO,1626,GVA,1665,,0,319 320 U2,2297,FAO,1626,LGW,502,,0,320 319 U2,2297,FAO,1626,LPL,491,,0,320 319 U2,2297,FAO,1626,LTN,492,,0,319 320 U2,2297,FAO,1626,NCL,521,,0,319 320 U2,2297,FAO,1626,ORY,1386,,0,320 U2,2297,FAO,1626,SEN,508,,0,319 U2,2297,FCO,1555,AMS,580,,0,319 U2,2297,FCO,1555,ATH,3941,,0,319 U2,2297,FCO,1555,BEG,1739,,0,319 U2,2297,FCO,1555,BRS,490,,0,320 U2,2297,FCO,1555,BSL,1423,,0,319 U2,2297,FCO,1555,CPH,609,,0,319 U2,2297,FCO,1555,GVA,1665,,0,319 320 U2,2297,FCO,1555,HAM,342,,0,319 U2,2297,FCO,1555,LGW,502,,0,319 320 U2,2297,FCO,1555,LIN,1529,,0,319 U2,2297,FCO,1555,LYS,1335,,0,319 U2,2297,FCO,1555,MXP,1524,,0,320 319 U2,2297,FCO,1555,NCE,1354,,0,319 U2,2297,FCO,1555,NTE,1418,,0,319 U2,2297,FCO,1555,ORY,1386,,0,319 320 U2,2297,FCO,1555,PMO,1512,,0,319 U2,2297,FCO,1555,PRG,1587,,0,319 U2,2297,FCO,1555,SKG,1486,,0,319 U2,2297,FCO,1555,SXF,337,,0,319 U2,2297,FCO,1555,TLS,1273,,0,319 U2,2297,FCO,1555,TLV,1590,,0,319 U2,2297,FNC,4091,BRS,490,,0,320 U2,2297,FNC,4091,LGW,502,,0,320 319 U2,2297,FNC,4091,LIS,1638,,0,319 U2,2297,FUE,1051,BRS,490,,0,319 320 U2,2297,FUE,1051,BSL,1423,,0,320 U2,2297,FUE,1051,LGW,502,,0,320 U2,2297,FUE,1051,LPL,491,,0,319 U2,2297,GIB,1738,LGW,502,,0,320 319 U2,2297,GLA,534,AGP,1230,,0,320 319 U2,2297,GLA,534,ALC,1212,,0,319 320 U2,2297,GLA,534,AMS,580,,0,319 U2,2297,GLA,534,BFS,465,,0,319 320 U2,2297,GLA,534,BRS,490,,0,319 U2,2297,GLA,534,CDG,1382,,0,319 U2,2297,GLA,534,FAO,1626,,0,319 U2,2297,GLA,534,JER,499,,0,319 U2,2297,GLA,534,KGS,1458,,0,320 U2,2297,GLA,534,LGW,502,,0,320 319 U2,2297,GLA,534,LTN,492,,0,319 320 U2,2297,GLA,534,PMI,3998,,0,319 U2,2297,GLA,534,STN,548,,0,319 320 U2,2297,GLA,534,SXF,337,,0,319 U2,2297,GVA,1665,AGP,1230,,0,319 320 U2,2297,GVA,1665,AJA,1324,,0,319 U2,2297,GVA,1665,ALC,1212,,0,319 320 U2,2297,GVA,1665,AMS,580,,0,319 320 U2,2297,GVA,1665,ARN,737,,0,319 U2,2297,GVA,1665,ATH,3941,,0,319 U2,2297,GVA,1665,BCN,1218,,0,319 320 U2,2297,GVA,1665,BDS,1506,,0,319 320 U2,2297,GVA,1665,BEG,1739,,0,319 U2,2297,GVA,1665,BIA,1321,,0,320 319 U2,2297,GVA,1665,BIO,1216,,0,319 U2,2297,GVA,1665,BOD,1264,,0,319 320 U2,2297,GVA,1665,BRS,490,,0,320 319 U2,2297,GVA,1665,BRU,302,,0,320 319 U2,2297,GVA,1665,BUD,1489,,0,319 320 U2,2297,GVA,1665,CAG,1519,,0,319 U2,2297,GVA,1665,CPH,609,,0,319 320 U2,2297,GVA,1665,CTA,1509,,0,319 U2,2297,GVA,1665,DBV,1200,,0,320 U2,2297,GVA,1665,EDI,535,,0,319 320 U2,2297,GVA,1665,FAO,1626,,0,319 320 U2,2297,GVA,1665,FCO,1555,,0,319 320 U2,2297,GVA,1665,HER,1452,,0,320 319 U2,2297,GVA,1665,HRG,1130,,0,320 U2,2297,GVA,1665,IBZ,1225,,0,319 U2,2297,GVA,1665,JMK,1468,,0,319 U2,2297,GVA,1665,LGW,502,,0,320 319 U2,2297,GVA,1665,LIL,1399,,0,320 319 U2,2297,GVA,1665,LIS,1638,,0,320 319 U2,2297,GVA,1665,LPL,491,,0,319 320 U2,2297,GVA,1665,LTN,492,,0,319 320 U2,2297,GVA,1665,MAD,1229,,0,319 320 U2,2297,GVA,1665,MAN,478,,0,319 320 U2,2297,GVA,1665,NAP,1561,,0,320 319 U2,2297,GVA,1665,NCE,1354,,0,320 319 U2,2297,GVA,1665,NTE,1418,,0,319 320 U2,2297,GVA,1665,OLB,1520,,0,319 320 U2,2297,GVA,1665,OPO,1636,,0,319 320 U2,2297,GVA,1665,ORY,1386,,0,319 320 U2,2297,GVA,1665,PMI,3998,,0,319 320 U2,2297,GVA,1665,PRN,1742,,0,319 U2,2297,GVA,1665,RAK,1075,,0,319 320 U2,2297,GVA,1665,SCQ,1243,,0,319 320 U2,2297,GVA,1665,SEN,508,,0,319 U2,2297,GVA,1665,SPU,1206,,0,319 U2,2297,GVA,1665,SVQ,1253,,0,319 U2,2297,GVA,1665,SXF,337,,0,320 319 U2,2297,GVA,1665,TFS,1056,,0,320 U2,2297,GVA,1665,TLS,1273,,0,319 U2,2297,GVA,1665,TLV,1590,,0,320 U2,2297,GVA,1665,VCE,1551,,0,319 U2,2297,HAM,342,ATH,3941,,0,319 U2,2297,HAM,342,BSL,1423,,0,320 319 U2,2297,HAM,342,CPH,609,,0,319 U2,2297,HAM,342,CTA,1509,,0,319 U2,2297,HAM,342,EDI,535,,0,319 U2,2297,HAM,342,FCO,1555,,0,319 U2,2297,HAM,342,LGW,502,,0,319 U2,2297,HAM,342,LTN,492,,0,319 320 U2,2297,HAM,342,MAN,478,,0,320 319 U2,2297,HAM,342,MXP,1524,,0,319 U2,2297,HAM,342,NAP,1561,,0,319 U2,2297,HAM,342,NCE,1354,,0,319 U2,2297,HAM,342,PMI,3998,,0,319 U2,2297,HAM,342,VCE,1551,,0,319 U2,2297,HER,1452,BRS,490,,0,320 U2,2297,HER,1452,EDI,535,,0,320 U2,2297,HER,1452,GVA,1665,,0,320 319 U2,2297,HER,1452,LGW,502,,0,320 319 U2,2297,HER,1452,LTN,492,,0,320 U2,2297,HER,1452,MAN,478,,0,319 320 U2,2297,HER,1452,MXP,1524,,0,319 320 U2,2297,HER,1452,SXF,337,,0,319 U2,2297,HRG,1130,GVA,1665,,0,320 U2,2297,HRG,1130,LGW,502,,0,320 U2,2297,IBZ,1225,GVA,1665,,0,319 U2,2297,IBZ,1225,LGW,502,,0,319 320 U2,2297,IBZ,1225,LTN,492,,0,320 319 U2,2297,IBZ,1225,MXP,1524,,0,319 U2,2297,IBZ,1225,SEN,508,,0,319 U2,2297,IBZ,1225,STN,548,,0,320 319 U2,2297,INN,1610,LGW,502,,0,319 U2,2297,INV,533,BRS,490,,0,319 U2,2297,INV,533,LGW,502,,0,319 U2,2297,INV,533,LTN,492,,0,319 U2,2297,IOM,520,LGW,502,,0,319 U2,2297,IOM,520,LPL,491,,0,319 U2,2297,JER,499,GLA,534,,0,319 U2,2297,JER,499,LGW,502,,0,319 U2,2297,JER,499,LPL,491,,0,319 U2,2297,JER,499,NCL,521,,0,319 U2,2297,JER,499,SEN,508,,0,319 U2,2297,JMK,1468,GVA,1665,,0,319 U2,2297,JMK,1468,LGW,502,,0,320 U2,2297,JMK,1468,MAN,478,,0,320 U2,2297,JMK,1468,MXP,1524,,0,319 320 U2,2297,JTR,1479,LGW,502,,0,320 U2,2297,JTR,1479,MAN,478,,0,320 U2,2297,KEF,16,BRS,490,,0,320 319 U2,2297,KEF,16,BSL,1423,,0,320 U2,2297,KEF,16,EDI,535,,0,319 U2,2297,KEF,16,LTN,492,,0,319 U2,2297,KEF,16,MAN,478,,0,320 319 U2,2297,KGS,1458,GLA,534,,0,320 U2,2297,KGS,1458,LGW,502,,0,320 319 U2,2297,KLX,1456,LGW,502,,0,320 319 U2,2297,KRK,669,BFS,465,,0,319 U2,2297,KRK,669,BRS,490,,0,319 U2,2297,KRK,669,BSL,1423,,0,319 U2,2297,KRK,669,CDG,1382,,0,319 U2,2297,KRK,669,EDI,535,,0,319 320 U2,2297,KRK,669,LGW,502,,0,319 320 U2,2297,KRK,669,LPL,491,,0,319 U2,2297,KRK,669,SEN,508,,0,319 U2,2297,LCA,1197,BSL,1423,,0,320 U2,2297,LCA,1197,LGW,502,,0,320 U2,2297,LCA,1197,LPL,491,,0,320 U2,2297,LCA,1197,MXP,1524,,0,320 U2,2297,LEI,1213,LGW,502,,0,319 320 U2,2297,LGW,502,ABZ,532,,0,319 U2,2297,LGW,502,ACE,1055,,0,320 U2,2297,LGW,502,ADB,1706,,0,320 U2,2297,LGW,502,AGA,1064,,0,319 U2,2297,LGW,502,AGP,1230,,0,320 319 U2,2297,LGW,502,AJA,1324,,0,320 U2,2297,LGW,502,ALC,1212,,0,319 320 U2,2297,LGW,502,AMS,580,,0,320 319 U2,2297,LGW,502,ATH,3941,,0,319 320 U2,2297,LGW,502,AYT,1688,,0,320 319 U2,2297,LGW,502,BCN,1218,,0,319 320 U2,2297,LGW,502,BFS,465,,0,319 U2,2297,LGW,502,BGO,636,,0,319 U2,2297,LGW,502,BIA,1321,,0,319 U2,2297,LGW,502,BJV,4315,,0,320 U2,2297,LGW,502,BLQ,1538,,0,320 319 U2,2297,LGW,502,BOD,1264,,0,319 U2,2297,LGW,502,BRI,1501,,0,319 U2,2297,LGW,502,BRU,302,,0,319 U2,2297,LGW,502,BSL,1423,,0,320 319 U2,2297,LGW,502,BUD,1489,,0,319 U2,2297,LGW,502,CDG,1382,,0,319 U2,2297,LGW,502,CFU,1460,,0,320 U2,2297,LGW,502,CGN,344,,0,319 U2,2297,LGW,502,CHQ,1474,,0,320 U2,2297,LGW,502,CPH,609,,0,319 320 U2,2297,LGW,502,CTA,1509,,0,319 U2,2297,LGW,502,DBV,1200,,0,319 320 U2,2297,LGW,502,DLM,1715,,0,320 319 U2,2297,LGW,502,DME,4029,,0,320 U2,2297,LGW,502,DUS,345,,0,319 U2,2297,LGW,502,EDI,535,,0,320 319 U2,2297,LGW,502,EFL,1455,,0,319 320 U2,2297,LGW,502,FAO,1626,,0,320 319 U2,2297,LGW,502,FCO,1555,,0,319 320 U2,2297,LGW,502,FNC,4091,,0,320 319 U2,2297,LGW,502,FUE,1051,,0,320 U2,2297,LGW,502,GIB,1738,,0,320 319 U2,2297,LGW,502,GLA,534,,0,319 320 U2,2297,LGW,502,GVA,1665,,0,320 319 U2,2297,LGW,502,HAM,342,,0,319 U2,2297,LGW,502,HER,1452,,0,320 319 U2,2297,LGW,502,HRG,1130,,0,320 U2,2297,LGW,502,IBZ,1225,,0,319 320 U2,2297,LGW,502,INN,1610,,0,319 U2,2297,LGW,502,INV,533,,0,319 U2,2297,LGW,502,IOM,520,,0,319 U2,2297,LGW,502,JER,499,,0,319 U2,2297,LGW,502,JMK,1468,,0,320 U2,2297,LGW,502,JTR,1479,,0,320 U2,2297,LGW,502,KGS,1458,,0,320 319 U2,2297,LGW,502,KLX,1456,,0,320 319 U2,2297,LGW,502,KRK,669,,0,319 320 U2,2297,LGW,502,LCA,1197,,0,320 U2,2297,LGW,502,LEI,1213,,0,319 320 U2,2297,LGW,502,LIN,1529,,0,319 320 U2,2297,LGW,502,LIS,1638,,0,319 320 U2,2297,LGW,502,LPA,1054,,0,320 U2,2297,LGW,502,LUX,629,,0,319 U2,2297,LGW,502,LYS,1335,,0,319 U2,2297,LGW,502,MAD,1229,,0,319 320 U2,2297,LGW,502,MAH,1231,,0,319 320 U2,2297,LGW,502,MJV,1227,,0,319 320 U2,2297,LGW,502,MLA,1606,,0,320 319 U2,2297,LGW,502,MPL,1359,,0,319 U2,2297,LGW,502,MRS,1353,,0,319 320 U2,2297,LGW,502,MUC,346,,0,319 320 U2,2297,LGW,502,MXP,1524,,0,319 320 U2,2297,LGW,502,NAP,1561,,0,319 320 U2,2297,LGW,502,NCE,1354,,0,320 319 U2,2297,LGW,502,NCL,521,,0,319 U2,2297,LGW,502,NTE,1418,,0,319 U2,2297,LGW,502,OLB,1520,,0,319 U2,2297,LGW,502,OPO,1636,,0,319 320 U2,2297,LGW,502,OTP,1657,,0,319 320 U2,2297,LGW,502,PFO,1198,,0,320 U2,2297,LGW,502,PMI,3998,,0,319 320 U2,2297,LGW,502,PMO,1512,,0,319 U2,2297,LGW,502,PRG,1587,,0,319 320 U2,2297,LGW,502,PSA,1562,,0,319 320 U2,2297,LGW,502,RAK,1075,,0,320 319 U2,2297,LGW,502,RHO,1472,,0,320 U2,2297,LGW,502,SCQ,1243,,0,319 U2,2297,LGW,502,SKG,1486,,0,319 320 U2,2297,LGW,502,SOF,1194,,0,319 320 U2,2297,LGW,502,SPU,1206,,0,319 320 U2,2297,LGW,502,SSH,4057,,0,320 U2,2297,LGW,502,SVQ,1253,,0,319 U2,2297,LGW,502,SXB,1435,,0,319 U2,2297,LGW,502,SXF,337,,0,319 320 U2,2297,LGW,502,TFS,1056,,0,320 U2,2297,LGW,502,TLL,415,,0,319 320 U2,2297,LGW,502,TLS,1273,,0,319 320 U2,2297,LGW,502,TLV,1590,,0,320 U2,2297,LGW,502,VCE,1551,,0,319 320 U2,2297,LGW,502,VIE,1613,,0,319 320 U2,2297,LGW,502,VLC,1246,,0,320 319 U2,2297,LGW,502,VRN,1550,,0,319 U2,2297,LGW,502,ZAG,1208,,0,319 U2,2297,LGW,502,ZRH,1678,,0,319 320 U2,2297,LGW,502,ZTH,1488,,0,320 U2,2297,LIL,1399,BOD,1264,,0,319 U2,2297,LIL,1399,GVA,1665,,0,320 319 U2,2297,LIL,1399,NCE,1354,,0,319 320 U2,2297,LIL,1399,TLS,1273,,0,319 U2,2297,LIN,1529,FCO,1555,,0,319 U2,2297,LIN,1529,LGW,502,,0,319 320 U2,2297,LIN,1529,ORY,1386,,0,320 U2,2297,LIS,1638,AMS,580,,0,319 U2,2297,LIS,1638,BIO,1216,,0,319 U2,2297,LIS,1638,BOD,1264,,0,319 U2,2297,LIS,1638,BRS,490,,0,320 U2,2297,LIS,1638,BSL,1423,,0,319 U2,2297,LIS,1638,CDG,1382,,0,319 U2,2297,LIS,1638,EDI,535,,0,319 320 U2,2297,LIS,1638,FNC,4091,,0,319 U2,2297,LIS,1638,GVA,1665,,0,320 319 U2,2297,LIS,1638,LGW,502,,0,319 320 U2,2297,LIS,1638,LPL,491,,0,319 320 U2,2297,LIS,1638,LTN,492,,0,319 320 U2,2297,LIS,1638,LUX,629,,0,319 U2,2297,LIS,1638,LYS,1335,,0,319 U2,2297,LIS,1638,MAD,1229,,0,319 U2,2297,LIS,1638,MXP,1524,,0,319 320 U2,2297,LIS,1638,NCE,1354,,0,319 U2,2297,LIS,1638,SXF,337,,0,319 U2,2297,LJU,1569,STN,548,,0,319 U2,2297,LPA,1054,BSL,1423,,0,320 U2,2297,LPA,1054,LGW,502,,0,320 U2,2297,LPL,491,ACE,1055,,0,320 U2,2297,LPL,491,AGP,1230,,0,319 U2,2297,LPL,491,ALC,1212,,0,320 319 U2,2297,LPL,491,AMS,580,,0,319 320 U2,2297,LPL,491,BCN,1218,,0,319 U2,2297,LPL,491,BFS,465,,0,320 319 U2,2297,LPL,491,BJV,4315,,0,319 U2,2297,LPL,491,CDG,1382,,0,319 320 U2,2297,LPL,491,FAO,1626,,0,320 319 U2,2297,LPL,491,FUE,1051,,0,319 U2,2297,LPL,491,GVA,1665,,0,319 320 U2,2297,LPL,491,IOM,520,,0,319 U2,2297,LPL,491,JER,499,,0,319 U2,2297,LPL,491,KRK,669,,0,319 U2,2297,LPL,491,LCA,1197,,0,320 U2,2297,LPL,491,LIS,1638,,0,319 320 U2,2297,LPL,491,MAD,1229,,0,320 319 U2,2297,LPL,491,NAP,1561,,0,319 320 U2,2297,LPL,491,NCE,1354,,0,319 320 U2,2297,LPL,491,PMI,3998,,0,320 319 U2,2297,LPL,491,RHO,1472,,0,320 U2,2297,LPL,491,SXF,337,,0,319 U2,2297,LTN,492,ABZ,532,,0,319 320 U2,2297,LTN,492,AGP,1230,,0,319 320 U2,2297,LTN,492,ALC,1212,,0,319 320 U2,2297,LTN,492,AMS,580,,0,320 319 U2,2297,LTN,492,BCN,1218,,0,319 320 U2,2297,LTN,492,BFS,465,,0,319 320 U2,2297,LTN,492,BOD,1264,,0,319 U2,2297,LTN,492,BUD,1489,,0,319 320 U2,2297,LTN,492,CDG,1382,,0,319 320 U2,2297,LTN,492,CFU,1460,,0,320 U2,2297,LTN,492,CTA,1509,,0,320 319 U2,2297,LTN,492,DTM,373,,0,319 U2,2297,LTN,492,EDI,535,,0,320 319 U2,2297,LTN,492,FAO,1626,,0,319 320 U2,2297,LTN,492,GLA,534,,0,319 320 U2,2297,LTN,492,GVA,1665,,0,319 320 U2,2297,LTN,492,HAM,342,,0,319 320 U2,2297,LTN,492,HER,1452,,0,320 U2,2297,LTN,492,IBZ,1225,,0,320 319 U2,2297,LTN,492,INV,533,,0,319 U2,2297,LTN,492,KEF,16,,0,319 U2,2297,LTN,492,LIS,1638,,0,319 320 U2,2297,LTN,492,MAD,1229,,0,319 320 U2,2297,LTN,492,MPL,1359,,0,319 U2,2297,LTN,492,MXP,1524,,0,320 319 U2,2297,LTN,492,NCE,1354,,0,319 320 U2,2297,LTN,492,PFO,1198,,0,320 U2,2297,LTN,492,PMI,3998,,0,320 319 U2,2297,LTN,492,PSA,1562,,0,320 319 U2,2297,LTN,492,SSH,4057,,0,320 U2,2297,LTN,492,SXF,337,,0,320 319 U2,2297,LTN,492,TLV,1590,,0,320 U2,2297,LTN,492,VCE,1551,,0,319 U2,2297,LTN,492,ZRH,1678,,0,319 320 U2,2297,LUX,629,LGW,502,,0,319 U2,2297,LUX,629,LIS,1638,,0,319 U2,2297,LUX,629,MXP,1524,,0,319 U2,2297,LYS,1335,AGA,1064,,0,319 U2,2297,LYS,1335,AJA,1324,,0,319 U2,2297,LYS,1335,BCN,1218,,0,319 U2,2297,LYS,1335,BES,1403,,0,319 U2,2297,LYS,1335,BIA,1321,,0,319 U2,2297,LYS,1335,BOD,1264,,0,319 U2,2297,LYS,1335,BRU,302,,0,319 U2,2297,LYS,1335,CMN,1074,,0,319 U2,2297,LYS,1335,EDI,535,,0,319 U2,2297,LYS,1335,FCO,1555,,0,319 U2,2297,LYS,1335,LGW,502,,0,319 U2,2297,LYS,1335,LIS,1638,,0,319 U2,2297,LYS,1335,MAD,1229,,0,319 U2,2297,LYS,1335,NCE,1354,,0,319 U2,2297,LYS,1335,NTE,1418,,0,319 U2,2297,LYS,1335,OPO,1636,,0,319 U2,2297,LYS,1335,RAK,1075,,0,319 U2,2297,LYS,1335,STN,548,,0,319 320 U2,2297,LYS,1335,SXF,337,,0,319 U2,2297,LYS,1335,TLS,1273,,0,319 U2,2297,LYS,1335,VCE,1551,,0,319 U2,2297,MAD,1229,BRS,490,,0,320 319 U2,2297,MAD,1229,BSL,1423,,0,319 320 U2,2297,MAD,1229,CDG,1382,,0,319 U2,2297,MAD,1229,EDI,535,,0,319 320 U2,2297,MAD,1229,GVA,1665,,0,319 320 U2,2297,MAD,1229,LGW,502,,0,320 319 U2,2297,MAD,1229,LIS,1638,,0,319 U2,2297,MAD,1229,LPL,491,,0,320 319 U2,2297,MAD,1229,LTN,492,,0,319 320 U2,2297,MAD,1229,LYS,1335,,0,319 U2,2297,MAD,1229,MXP,1524,,0,319 U2,2297,MAD,1229,SXF,337,,0,320 319 U2,2297,MAH,1231,LGW,502,,0,319 320 U2,2297,MAN,478,AGP,1230,,0,319 320 U2,2297,MAN,478,ALC,1212,,0,319 320 U2,2297,MAN,478,AMS,580,,0,320 319 U2,2297,MAN,478,ATH,3941,,0,320 U2,2297,MAN,478,AYT,1688,,0,320 U2,2297,MAN,478,BFS,465,,0,319 U2,2297,MAN,478,BIO,1216,,0,319 U2,2297,MAN,478,BSL,1423,,0,320 319 U2,2297,MAN,478,CFU,1460,,0,320 U2,2297,MAN,478,CPH,609,,0,319 320 U2,2297,MAN,478,CTA,1509,,0,319 U2,2297,MAN,478,DLM,1715,,0,320 U2,2297,MAN,478,DME,4029,,0,319 320 U2,2297,MAN,478,GVA,1665,,0,319 320 U2,2297,MAN,478,HAM,342,,0,320 319 U2,2297,MAN,478,HER,1452,,0,319 320 U2,2297,MAN,478,JMK,1468,,0,320 U2,2297,MAN,478,JTR,1479,,0,320 U2,2297,MAN,478,KEF,16,,0,320 319 U2,2297,MAN,478,MLA,1606,,0,320 U2,2297,MAN,478,MUC,346,,0,319 320 U2,2297,MAN,478,PFO,1198,,0,320 U2,2297,MAN,478,PMI,3998,,0,319 320 U2,2297,MAN,478,PRG,1587,,0,319 U2,2297,MAN,478,RAK,1075,,0,320 319 U2,2297,MAN,478,SKG,1486,,0,320 U2,2297,MAN,478,SOF,1194,,0,319 U2,2297,MAN,478,SSH,4057,,0,320 U2,2297,MAN,478,SXF,337,,0,320 319 U2,2297,MAN,478,TFS,1056,,0,320 U2,2297,MAN,478,TLV,1590,,0,320 U2,2297,MAN,478,VCE,1551,,0,319 U2,2297,MJV,1227,BRS,490,,0,319 320 U2,2297,MJV,1227,LGW,502,,0,319 320 U2,2297,MLA,1606,BFS,465,,0,319 U2,2297,MLA,1606,LGW,502,,0,320 319 U2,2297,MLA,1606,MAN,478,,0,320 U2,2297,MLA,1606,NCL,521,,0,320 319 U2,2297,MPL,1359,BSL,1423,,0,319 U2,2297,MPL,1359,LGW,502,,0,319 U2,2297,MPL,1359,LTN,492,,0,319 U2,2297,MRS,1353,LGW,502,,0,319 320 U2,2297,MUC,346,EDI,535,,0,319 U2,2297,MUC,346,LGW,502,,0,319 320 U2,2297,MUC,346,MAN,478,,0,319 320 U2,2297,MUC,346,STN,548,,0,319 U2,2297,MXP,1524,AGP,1230,,0,319 320 U2,2297,MXP,1524,AHO,1517,,0,319 U2,2297,MXP,1524,AMS,580,,0,319 320 U2,2297,MXP,1524,ATH,3941,,0,319 320 U2,2297,MXP,1524,BCN,1218,,0,320 319 U2,2297,MXP,1524,BDS,1506,,0,319 320 U2,2297,MXP,1524,BEG,1739,,0,319 U2,2297,MXP,1524,BOD,1264,,0,319 U2,2297,MXP,1524,BRI,1501,,0,319 320 U2,2297,MXP,1524,BRU,302,,0,319 U2,2297,MXP,1524,CAG,1519,,0,320 319 U2,2297,MXP,1524,CDG,1382,,0,320 319 U2,2297,MXP,1524,CMN,1074,,0,320 319 U2,2297,MXP,1524,CPH,609,,0,319 U2,2297,MXP,1524,CTA,1509,,0,319 320 U2,2297,MXP,1524,EDI,535,,0,319 U2,2297,MXP,1524,FCO,1555,,0,320 319 U2,2297,MXP,1524,HAM,342,,0,319 U2,2297,MXP,1524,HER,1452,,0,319 320 U2,2297,MXP,1524,IBZ,1225,,0,319 U2,2297,MXP,1524,JMK,1468,,0,319 320 U2,2297,MXP,1524,LCA,1197,,0,320 U2,2297,MXP,1524,LGW,502,,0,319 320 U2,2297,MXP,1524,LIS,1638,,0,319 320 U2,2297,MXP,1524,LTN,492,,0,320 319 U2,2297,MXP,1524,LUX,629,,0,319 U2,2297,MXP,1524,MAD,1229,,0,319 U2,2297,MXP,1524,NAP,1561,,0,319 320 U2,2297,MXP,1524,OLB,1520,,0,320 319 U2,2297,MXP,1524,PMI,3998,,0,319 U2,2297,MXP,1524,PMO,1512,,0,319 320 U2,2297,MXP,1524,PRG,1587,,0,319 320 U2,2297,MXP,1524,RAK,1075,,0,320 319 U2,2297,MXP,1524,SSH,4057,,0,320 U2,2297,MXP,1524,SUF,1508,,0,319 320 U2,2297,MXP,1524,SXF,337,,0,320 319 U2,2297,MXP,1524,TLV,1590,,0,320 U2,2297,NAP,1561,BRU,302,,0,319 U2,2297,NAP,1561,BSL,1423,,0,319 320 U2,2297,NAP,1561,CDG,1382,,0,319 320 U2,2297,NAP,1561,CTA,1509,,0,319 U2,2297,NAP,1561,EDI,535,,0,320 319 U2,2297,NAP,1561,GVA,1665,,0,320 319 U2,2297,NAP,1561,HAM,342,,0,319 U2,2297,NAP,1561,LGW,502,,0,319 320 U2,2297,NAP,1561,LPL,491,,0,319 320 U2,2297,NAP,1561,MXP,1524,,0,319 320 U2,2297,NAP,1561,NCE,1354,,0,319 320 U2,2297,NAP,1561,ORY,1386,,0,320 U2,2297,NAP,1561,STN,548,,0,319 320 U2,2297,NAP,1561,SXF,337,,0,319 320 U2,2297,NAP,1561,VCE,1551,,0,319 320 U2,2297,NCE,1354,BCN,1218,,0,319 320 U2,2297,NCE,1354,BFS,465,,0,319 U2,2297,NCE,1354,BOD,1264,,0,319 320 U2,2297,NCE,1354,BRS,490,,0,319 320 U2,2297,NCE,1354,BRU,302,,0,320 319 U2,2297,NCE,1354,BSL,1423,,0,319 320 U2,2297,NCE,1354,CDG,1382,,0,320 319 U2,2297,NCE,1354,EDI,535,,0,319 U2,2297,NCE,1354,FCO,1555,,0,319 U2,2297,NCE,1354,GVA,1665,,0,320 319 U2,2297,NCE,1354,HAM,342,,0,319 U2,2297,NCE,1354,LGW,502,,0,320 319 U2,2297,NCE,1354,LIL,1399,,0,319 320 U2,2297,NCE,1354,LIS,1638,,0,319 U2,2297,NCE,1354,LPL,491,,0,319 320 U2,2297,NCE,1354,LTN,492,,0,319 320 U2,2297,NCE,1354,LYS,1335,,0,319 U2,2297,NCE,1354,NAP,1561,,0,319 320 U2,2297,NCE,1354,NCL,521,,0,319 U2,2297,NCE,1354,NTE,1418,,0,320 319 U2,2297,NCE,1354,OLB,1520,,0,319 U2,2297,NCE,1354,ORY,1386,,0,320 319 U2,2297,NCE,1354,RAK,1075,,0,320 319 U2,2297,NCE,1354,STN,548,,0,319 320 U2,2297,NCE,1354,SXF,337,,0,319 U2,2297,NCE,1354,TLS,1273,,0,319 320 U2,2297,NCE,1354,VCE,1551,,0,319 320 U2,2297,NCL,521,AGP,1230,,0,319 U2,2297,NCL,521,ALC,1212,,0,320 319 U2,2297,NCL,521,AMS,580,,0,319 U2,2297,NCL,521,BCN,1218,,0,319 320 U2,2297,NCL,521,BFS,465,,0,319 320 U2,2297,NCL,521,BRS,490,,0,319 320 U2,2297,NCL,521,FAO,1626,,0,319 320 U2,2297,NCL,521,JER,499,,0,319 U2,2297,NCL,521,LGW,502,,0,319 320 U2,2297,NCL,521,MLA,1606,,0,320 319 U2,2297,NCL,521,NCE,1354,,0,319 U2,2297,NCL,521,PMI,3998,,0,320 319 U2,2297,NTE,1418,BSL,1423,,0,319 320 U2,2297,NTE,1418,FCO,1555,,0,319 U2,2297,NTE,1418,GVA,1665,,0,319 320 U2,2297,NTE,1418,LGW,502,,0,319 U2,2297,NTE,1418,LYS,1335,,0,319 U2,2297,NTE,1418,NCE,1354,,0,320 319 U2,2297,NTE,1418,TLS,1273,,0,319 U2,2297,OLB,1520,BSL,1423,,0,319 U2,2297,OLB,1520,GVA,1665,,0,319 320 U2,2297,OLB,1520,LGW,502,,0,319 U2,2297,OLB,1520,MXP,1524,,0,320 319 U2,2297,OLB,1520,NCE,1354,,0,319 U2,2297,OLB,1520,SXF,337,,0,320 319 U2,2297,OPO,1636,BSL,1423,,0,319 320 U2,2297,OPO,1636,CDG,1382,,0,319 U2,2297,OPO,1636,GVA,1665,,0,319 320 U2,2297,OPO,1636,LGW,502,,0,319 320 U2,2297,OPO,1636,LYS,1335,,0,319 U2,2297,ORY,1386,ATH,3941,,0,320 U2,2297,ORY,1386,FAO,1626,,0,320 U2,2297,ORY,1386,FCO,1555,,0,320 319 U2,2297,ORY,1386,GVA,1665,,0,319 320 U2,2297,ORY,1386,LIN,1529,,0,320 U2,2297,ORY,1386,NAP,1561,,0,320 U2,2297,ORY,1386,NCE,1354,,0,320 319 U2,2297,ORY,1386,PMO,1512,,0,320 U2,2297,ORY,1386,PSA,1562,,0,320 U2,2297,ORY,1386,SXF,337,,0,320 U2,2297,ORY,1386,TLS,1273,,0,320 319 U2,2297,ORY,1386,VCE,1551,,0,320 U2,2297,OTP,1657,LGW,502,,0,319 320 U2,2297,OVD,1214,STN,548,,0,319 U2,2297,PFO,1198,BRS,490,,0,320 U2,2297,PFO,1198,EDI,535,,0,320 U2,2297,PFO,1198,LGW,502,,0,320 U2,2297,PFO,1198,LTN,492,,0,320 U2,2297,PFO,1198,MAN,478,,0,320 U2,2297,PMI,3998,BFS,465,,0,319 U2,2297,PMI,3998,BRS,490,,0,320 319 U2,2297,PMI,3998,BSL,1423,,0,319 320 U2,2297,PMI,3998,EDI,535,,0,319 U2,2297,PMI,3998,GLA,534,,0,319 U2,2297,PMI,3998,GVA,1665,,0,319 320 U2,2297,PMI,3998,HAM,342,,0,319 U2,2297,PMI,3998,LGW,502,,0,319 320 U2,2297,PMI,3998,LPL,491,,0,320 319 U2,2297,PMI,3998,LTN,492,,0,320 319 U2,2297,PMI,3998,MAN,478,,0,319 320 U2,2297,PMI,3998,MXP,1524,,0,319 U2,2297,PMI,3998,NCL,521,,0,320 319 U2,2297,PMI,3998,SEN,508,,0,319 U2,2297,PMI,3998,STN,548,,0,319 U2,2297,PMI,3998,SXF,337,,0,319 320 U2,2297,PMO,1512,FCO,1555,,0,319 U2,2297,PMO,1512,LGW,502,,0,319 U2,2297,PMO,1512,MXP,1524,,0,319 320 U2,2297,PMO,1512,ORY,1386,,0,320 U2,2297,PRG,1587,AMS,580,,0,319 U2,2297,PRG,1587,BRS,490,,0,319 U2,2297,PRG,1587,CDG,1382,,0,319 U2,2297,PRG,1587,EDI,535,,0,319 320 U2,2297,PRG,1587,FCO,1555,,0,319 U2,2297,PRG,1587,LGW,502,,0,319 320 U2,2297,PRG,1587,MAN,478,,0,319 U2,2297,PRG,1587,MXP,1524,,0,319 U2,2297,PRG,1587,STN,548,,0,319 U2,2297,PRN,1742,BSL,1423,,0,320 319 U2,2297,PRN,1742,GVA,1665,,0,319 U2,2297,PSA,1562,BRS,490,,0,320 319 U2,2297,PSA,1562,LGW,502,,0,319 320 U2,2297,PSA,1562,LTN,492,,0,320 319 U2,2297,PSA,1562,ORY,1386,,0,320 U2,2297,PSA,1562,SXF,337,,0,319 320 U2,2297,RAK,1075,BOD,1264,,0,320 319 U2,2297,RAK,1075,BRS,490,,0,320 319 U2,2297,RAK,1075,BSL,1423,,0,320 319 U2,2297,RAK,1075,CDG,1382,,0,320 319 U2,2297,RAK,1075,GVA,1665,,0,319 320 U2,2297,RAK,1075,LGW,502,,0,320 319 U2,2297,RAK,1075,LYS,1335,,0,319 U2,2297,RAK,1075,MAN,478,,0,320 319 U2,2297,RAK,1075,MXP,1524,,0,320 319 U2,2297,RAK,1075,NCE,1354,,0,319 320 U2,2297,RAK,1075,STN,548,,0,319 U2,2297,RAK,1075,SXF,337,,0,320 U2,2297,RAK,1075,TLS,1273,,0,319 U2,2297,RHO,1472,LGW,502,,0,320 U2,2297,RHO,1472,LPL,491,,0,320 U2,2297,SCQ,1243,BSL,1423,,0,320 319 U2,2297,SCQ,1243,GVA,1665,,0,319 320 U2,2297,SCQ,1243,LGW,502,,0,319 U2,2297,SEN,508,AGP,1230,,0,319 U2,2297,SEN,508,ALC,1212,,0,319 U2,2297,SEN,508,AMS,580,,0,319 U2,2297,SEN,508,BCN,1218,,0,319 U2,2297,SEN,508,EDI,535,,0,319 U2,2297,SEN,508,FAO,1626,,0,319 U2,2297,SEN,508,GVA,1665,,0,319 U2,2297,SEN,508,IBZ,1225,,0,319 U2,2297,SEN,508,JER,499,,0,319 U2,2297,SEN,508,KRK,669,,0,319 U2,2297,SEN,508,PMI,3998,,0,319 U2,2297,SEN,508,SXF,337,,0,319 U2,2297,SEN,508,VCE,1551,,0,319 U2,2297,SKG,1486,BSL,1423,,0,320 319 U2,2297,SKG,1486,FCO,1555,,0,319 U2,2297,SKG,1486,LGW,502,,0,319 320 U2,2297,SKG,1486,MAN,478,,0,320 U2,2297,SKG,1486,SXF,337,,0,319 320 U2,2297,SOF,1194,LGW,502,,0,319 320 U2,2297,SOF,1194,MAN,478,,0,319 U2,2297,SOF,1194,STN,548,,0,319 320 U2,2297,SOF,1194,SXF,337,,0,319 U2,2297,SPU,1206,BSL,1423,,0,319 U2,2297,SPU,1206,GVA,1665,,0,319 U2,2297,SPU,1206,LGW,502,,0,319 320 U2,2297,SSH,4057,LGW,502,,0,320 U2,2297,SSH,4057,LTN,492,,0,320 U2,2297,SSH,4057,MAN,478,,0,320 U2,2297,SSH,4057,MXP,1524,,0,320 U2,2297,SSH,4057,STN,548,,0,320 U2,2297,STN,548,AGP,1230,,0,319 U2,2297,STN,548,AMS,580,,0,320 319 U2,2297,STN,548,BFS,465,,0,319 320 U2,2297,STN,548,BIO,1216,,0,320 319 U2,2297,STN,548,BJV,4315,,0,319 U2,2297,STN,548,CAG,1519,,0,319 U2,2297,STN,548,CPH,609,,0,319 320 U2,2297,STN,548,DBV,1200,,0,319 U2,2297,STN,548,DLM,1715,,0,319 320 U2,2297,STN,548,EDI,535,,0,320 319 U2,2297,STN,548,GLA,534,,0,319 320 U2,2297,STN,548,IBZ,1225,,0,320 319 U2,2297,STN,548,LJU,1569,,0,319 U2,2297,STN,548,LYS,1335,,0,319 320 U2,2297,STN,548,MUC,346,,0,319 U2,2297,STN,548,NAP,1561,,0,319 320 U2,2297,STN,548,NCE,1354,,0,319 320 U2,2297,STN,548,OVD,1214,,0,319 U2,2297,STN,548,PMI,3998,,0,319 U2,2297,STN,548,PRG,1587,,0,319 U2,2297,STN,548,RAK,1075,,0,319 U2,2297,STN,548,SOF,1194,,0,319 320 U2,2297,STN,548,SSH,4057,,0,320 U2,2297,SUF,1508,MXP,1524,,0,319 320 U2,2297,SVQ,1253,BSL,1423,,0,320 319 U2,2297,SVQ,1253,GVA,1665,,0,319 U2,2297,SVQ,1253,LGW,502,,0,319 U2,2297,SXB,1435,LGW,502,,0,319 U2,2297,SXF,337,AGA,1064,,0,320 U2,2297,SXF,337,AGP,1230,,0,320 319 U2,2297,SXF,337,AMS,580,,0,319 320 U2,2297,SXF,337,ATH,3941,,0,319 U2,2297,SXF,337,BCN,1218,,0,320 319 U2,2297,SXF,337,BRS,490,,0,319 U2,2297,SXF,337,BRU,302,,0,319 U2,2297,SXF,337,BSL,1423,,0,319 320 U2,2297,SXF,337,BUD,1489,,0,319 320 U2,2297,SXF,337,CAG,1519,,0,320 U2,2297,SXF,337,CPH,609,,0,320 319 U2,2297,SXF,337,EDI,535,,0,319 U2,2297,SXF,337,FCO,1555,,0,319 U2,2297,SXF,337,GLA,534,,0,319 U2,2297,SXF,337,GVA,1665,,0,320 319 U2,2297,SXF,337,HER,1452,,0,319 U2,2297,SXF,337,LGW,502,,0,319 320 U2,2297,SXF,337,LIS,1638,,0,319 U2,2297,SXF,337,LPL,491,,0,319 U2,2297,SXF,337,LTN,492,,0,320 319 U2,2297,SXF,337,LYS,1335,,0,319 U2,2297,SXF,337,MAD,1229,,0,320 319 U2,2297,SXF,337,MAN,478,,0,320 319 U2,2297,SXF,337,MXP,1524,,0,320 319 U2,2297,SXF,337,NAP,1561,,0,319 320 U2,2297,SXF,337,NCE,1354,,0,319 U2,2297,SXF,337,OLB,1520,,0,320 319 U2,2297,SXF,337,ORY,1386,,0,320 U2,2297,SXF,337,PMI,3998,,0,319 320 U2,2297,SXF,337,PSA,1562,,0,319 320 U2,2297,SXF,337,RAK,1075,,0,320 U2,2297,SXF,337,SEN,508,,0,319 U2,2297,SXF,337,SKG,1486,,0,319 320 U2,2297,SXF,337,SOF,1194,,0,319 U2,2297,SXF,337,SZG,1612,,0,319 U2,2297,SXF,337,TFS,1056,,0,320 U2,2297,SXF,337,TLV,1590,,0,320 U2,2297,SXF,337,VCE,1551,,0,319 320 U2,2297,SZG,1612,SXF,337,,0,319 U2,2297,TFS,1056,BRS,490,,0,320 319 U2,2297,TFS,1056,BSL,1423,,0,320 U2,2297,TFS,1056,CDG,1382,,0,320 U2,2297,TFS,1056,EDI,535,,0,320 U2,2297,TFS,1056,GVA,1665,,0,320 U2,2297,TFS,1056,LGW,502,,0,320 U2,2297,TFS,1056,MAN,478,,0,320 U2,2297,TFS,1056,SXF,337,,0,320 U2,2297,TLL,415,LGW,502,,0,319 320 U2,2297,TLS,1273,BIA,1321,,0,319 U2,2297,TLS,1273,BRS,490,,0,320 319 U2,2297,TLS,1273,BRU,302,,0,319 U2,2297,TLS,1273,BSL,1423,,0,319 U2,2297,TLS,1273,CDG,1382,,0,319 320 U2,2297,TLS,1273,FCO,1555,,0,319 U2,2297,TLS,1273,GVA,1665,,0,319 U2,2297,TLS,1273,LGW,502,,0,319 320 U2,2297,TLS,1273,LIL,1399,,0,319 U2,2297,TLS,1273,LYS,1335,,0,319 U2,2297,TLS,1273,NCE,1354,,0,319 U2,2297,TLS,1273,NTE,1418,,0,319 U2,2297,TLS,1273,ORY,1386,,0,320 319 U2,2297,TLS,1273,RAK,1075,,0,319 320 U2,2297,TLV,1590,BSL,1423,,0,320 U2,2297,TLV,1590,FCO,1555,,0,319 U2,2297,TLV,1590,GVA,1665,,0,320 U2,2297,TLV,1590,LGW,502,,0,320 U2,2297,TLV,1590,LTN,492,,0,320 U2,2297,TLV,1590,MAN,478,,0,320 U2,2297,TLV,1590,MXP,1524,,0,320 U2,2297,TLV,1590,SXF,337,,0,320 U2,2297,VCE,1551,BSL,1423,,0,319 320 U2,2297,VCE,1551,CDG,1382,,0,320 319 U2,2297,VCE,1551,GVA,1665,,0,319 U2,2297,VCE,1551,HAM,342,,0,319 U2,2297,VCE,1551,LGW,502,,0,319 320 U2,2297,VCE,1551,LTN,492,,0,319 U2,2297,VCE,1551,LYS,1335,,0,319 U2,2297,VCE,1551,MAN,478,,0,319 U2,2297,VCE,1551,NAP,1561,,0,319 320 U2,2297,VCE,1551,NCE,1354,,0,319 320 U2,2297,VCE,1551,ORY,1386,,0,320 U2,2297,VCE,1551,SEN,508,,0,319 U2,2297,VCE,1551,SXF,337,,0,319 320 U2,2297,VIE,1613,LGW,502,,0,319 320 U2,2297,VLC,1246,LGW,502,,0,320 319 U2,2297,VRN,1550,LGW,502,,0,319 U2,2297,ZAG,1208,LGW,502,,0,319 U2,2297,ZRH,1678,LGW,502,,0,319 320 U2,2297,ZRH,1678,LTN,492,,0,319 320 U2,2297,ZTH,1488,LGW,502,,0,320 U6,5234,AER,2965,DME,4029,,0,320 U6,5234,AER,2965,LBD,6147,,0,320 U6,5234,AER,2965,SVX,2975,,0,320 U6,5234,ATH,3941,KRR,2960,,0,320 U6,5234,BUD,1489,KRR,2960,,0,320 U6,5234,BUD,1489,ROV,2964,,0,320 U6,5234,CDG,1382,SVX,2975,,0,320 U6,5234,CEK,2968,DME,4029,,0,320 U6,5234,CEK,2968,DWC,8076,,0,321 U6,5234,CEK,2968,DYU,2979,,0,320 U6,5234,CEK,2968,LBD,6147,,0,320 U6,5234,CEK,2968,NMA,6150,,0,320 U6,5234,CEK,2968,OSS,2913,,0,320 U6,5234,CEK,2968,PRG,1587,,0,320 U6,5234,CEK,2968,TAS,2983,,0,320 U6,5234,CGN,344,DME,4029,,0,320 U6,5234,DME,4029,AER,2965,,0,320 U6,5234,DME,4029,CEK,2968,,0,320 U6,5234,DME,4029,CGN,344,,0,320 U6,5234,DME,4029,FRU,2912,,0,320 U6,5234,DME,4029,GBB,8775,,0,320 U6,5234,DME,4029,GOJ,4274,,0,320 U6,5234,DME,4029,HTA,2935,,0,320 U6,5234,DME,4029,IKT,2937,,0,320 U6,5234,DME,4029,KGD,2952,,0,320 U6,5234,DME,4029,KRR,2960,,0,320 U6,5234,DME,4029,KUF,2993,,0,320 U6,5234,DME,4029,KVD,6089,,0,321 U6,5234,DME,4029,KZN,2990,,0,320 U6,5234,DME,4029,LED,2948,,0,320 U6,5234,DME,4029,LLK,8774,,0,320 U6,5234,DME,4029,LWN,3965,,0,320 U6,5234,DME,4029,MRV,2962,,0,320 U6,5234,DME,4029,NCU,6151,,0,320 U6,5234,DME,4029,NJC,2972,,0,320 U6,5234,DME,4029,NVI,6485,,0,320 U6,5234,DME,4029,OSS,2913,,0,320 U6,5234,DME,4029,OVB,4078,,0,320 U6,5234,DME,4029,RMI,1546,,0,321 U6,5234,DME,4029,ROV,2964,,0,320 U6,5234,DME,4029,SIP,2942,,0,320 319 U6,5234,DME,4029,SVX,2975,,0,320 U6,5234,DME,4029,TIV,1743,,0,320 U6,5234,DME,4029,TJU,7563,,0,320 U6,5234,DME,4029,UFA,2992,,0,320 U6,5234,DME,4029,UUD,2938,,0,319 U6,5234,DWC,8076,CEK,2968,,0,321 U6,5234,DWC,8076,GOJ,4274,,0,321 U6,5234,DWC,8076,KUF,2993,,0,321 U6,5234,DWC,8076,MRV,2962,,0,321 U6,5234,DWC,8076,PEE,2973,,0,321 U6,5234,DWC,8076,SVX,2975,,0,321 320 U6,5234,DXB,2188,KRR,2960,,0,320 U6,5234,DXB,2188,KUF,2993,,0,320 U6,5234,DXB,2188,MRV,2962,,0,320 U6,5234,DXB,2188,SVX,2975,,0,320 U6,5234,DYU,2979,CEK,2968,,0,320 U6,5234,DYU,2979,GOJ,4274,,0,320 U6,5234,DYU,2979,KJA,4374,,0,320 U6,5234,DYU,2979,KUF,2993,,0,320 U6,5234,DYU,2979,KZN,2990,,0,320 U6,5234,DYU,2979,LED,2948,,0,320 U6,5234,DYU,2979,MRV,2962,,0,320 U6,5234,DYU,2979,NBC,6969,,0,320 U6,5234,DYU,2979,ROV,2964,,0,320 U6,5234,DYU,2979,SVX,2975,,0,320 U6,5234,DYU,2979,UFA,2992,,0,320 U6,5234,DYU,2979,VOG,2967,,0,320 U6,5234,EVN,3964,GOJ,4274,,0,320 U6,5234,EVN,3964,KUF,2993,,0,320 U6,5234,EVN,3964,LED,2948,,0,320 U6,5234,EVN,3964,SVX,2975,,0,320 U6,5234,FCO,1555,SVX,2975,,0,320 U6,5234,FRU,2912,DME,4029,,0,320 U6,5234,FRU,2912,SVX,2975,,0,320 U6,5234,GBB,8775,DME,4029,,0,320 U6,5234,GOJ,4274,DME,4029,,0,320 U6,5234,GOJ,4274,DWC,8076,,0,321 U6,5234,GOJ,4274,DYU,2979,,0,320 U6,5234,GOJ,4274,EVN,3964,,0,320 U6,5234,GOJ,4274,LBD,6147,,0,320 U6,5234,GOJ,4274,NMA,6150,,0,320 U6,5234,GOJ,4274,PRG,1587,,0,320 U6,5234,GOJ,4274,TAS,2983,,0,320 U6,5234,GYD,2922,SVX,2975,,0,320 U6,5234,HRB,3400,OVB,4078,,0,320 U6,5234,HRB,3400,SVX,2975,,0,320 U6,5234,HTA,2935,DME,4029,,0,320 U6,5234,IKT,2937,DME,4029,,0,320 U6,5234,IKT,2937,HRB,3400,,0,320 U6,5234,KGD,2952,DME,4029,,0,320 U6,5234,KGD,2952,TAS,2983,,0,320 U6,5234,KHV,2927,OVB,4078,,0,320 U6,5234,KJA,4374,DYU,2979,,0,320 U6,5234,KJA,4374,LBD,6147,,0,320 U6,5234,KJA,4374,NMA,6150,,0,320 U6,5234,KJA,4374,SKD,2981,,0,320 U6,5234,KJA,4374,SVX,2975,,0,320 U6,5234,KJA,4374,TAS,2983,,0,320 U6,5234,KLV,1579,SVX,2975,,0,320 U6,5234,KRR,2960,BUD,1489,,0,320 U6,5234,KRR,2960,DME,4029,,0,320 U6,5234,KRR,2960,DXB,2188,,0,320 U6,5234,KRR,2960,LBD,6147,,0,320 U6,5234,KRR,2960,MUC,346,,0,320 U6,5234,KRR,2960,NMA,6150,,0,320 U6,5234,KRR,2960,PFO,1198,,0,320 U6,5234,KRR,2960,SKG,1486,,0,320 U6,5234,KRR,2960,SVX,2975,,0,320 U6,5234,KRR,2960,TAS,2983,,0,320 U6,5234,KUF,2993,DME,4029,,0,320 U6,5234,KUF,2993,DWC,8076,,0,321 U6,5234,KUF,2993,DXB,2188,,0,320 U6,5234,KUF,2993,DYU,2979,,0,320 U6,5234,KUF,2993,EVN,3964,,0,320 U6,5234,KUF,2993,LBD,6147,,0,320 U6,5234,KUF,2993,OSS,2913,,0,320 U6,5234,KUF,2993,TAS,2983,,0,320 U6,5234,KVD,6089,DME,4029,,0,321 U6,5234,KZN,2990,DME,4029,,0,320 U6,5234,KZN,2990,DYU,2979,,0,320 U6,5234,KZN,2990,LBD,6147,,0,320 U6,5234,LBD,6147,AER,2965,,0,320 U6,5234,LBD,6147,CEK,2968,,0,320 U6,5234,LBD,6147,GOJ,4274,,0,320 U6,5234,LBD,6147,KJA,4374,,0,320 U6,5234,LBD,6147,KRR,2960,,0,320 U6,5234,LBD,6147,KUF,2993,,0,320 U6,5234,LBD,6147,KZN,2990,,0,320 U6,5234,LBD,6147,SVX,2975,,0,320 U6,5234,LBD,6147,UFA,2992,,0,320 U6,5234,LCA,1197,SVX,2975,,0,320 U6,5234,LED,2948,DME,4029,,0,320 U6,5234,LED,2948,DYU,2979,,0,320 U6,5234,LED,2948,EVN,3964,,0,320 U6,5234,LED,2948,LLK,8774,,0,320 U6,5234,LED,2948,ROV,2964,,0,320 U6,5234,LED,2948,SVX,2975,,0,320 U6,5234,LED,2948,TIV,1743,,0,320 U6,5234,LED,2948,TJU,7563,,0,320 U6,5234,LLK,8774,DME,4029,,0,320 U6,5234,LLK,8774,LED,2948,,0,320 U6,5234,LWN,3965,DME,4029,,0,320 U6,5234,MRV,2962,DME,4029,,0,320 U6,5234,MRV,2962,DWC,8076,,0,321 U6,5234,MRV,2962,DXB,2188,,0,320 U6,5234,MRV,2962,DYU,2979,,0,320 U6,5234,MRV,2962,SVX,2975,,0,320 U6,5234,MUC,346,KRR,2960,,0,320 U6,5234,MUC,346,SVX,2975,,0,320 U6,5234,NBC,6969,DYU,2979,,0,320 U6,5234,NCU,6151,DME,4029,,0,320 U6,5234,NJC,2972,DME,4029,,0,320 U6,5234,NMA,6150,CEK,2968,,0,320 U6,5234,NMA,6150,GOJ,4274,,0,320 U6,5234,NMA,6150,KJA,4374,,0,320 U6,5234,NMA,6150,KRR,2960,,0,320 U6,5234,NMA,6150,SVX,2975,,0,320 U6,5234,NSK,4352,OVB,4078,,0,320 U6,5234,NSK,4352,SVX,2975,,0,320 U6,5234,NVI,6485,DME,4029,,0,320 U6,5234,OSS,2913,CEK,2968,,0,320 U6,5234,OSS,2913,DME,4029,,0,320 U6,5234,OSS,2913,KUF,2993,,0,320 U6,5234,OSS,2913,SVX,2975,,0,320 U6,5234,OVB,4078,DME,4029,,0,320 U6,5234,OVB,4078,HRB,3400,,0,320 U6,5234,OVB,4078,KHV,2927,,0,320 U6,5234,OVB,4078,NSK,4352,,0,320 U6,5234,OVB,4078,SVX,2975,,0,320 U6,5234,OVB,4078,YKS,2923,,0,320 U6,5234,PEE,2973,DWC,8076,,0,321 U6,5234,PEK,3364,SVX,2975,,0,320 U6,5234,PFO,1198,KRR,2960,,0,320 U6,5234,PRG,1587,CEK,2968,,0,320 U6,5234,PRG,1587,GOJ,4274,,0,320 U6,5234,PRG,1587,SVX,2975,,0,320 U6,5234,RMI,1546,DME,4029,,0,321 U6,5234,ROV,2964,BUD,1489,,0,320 U6,5234,ROV,2964,DME,4029,,0,320 U6,5234,ROV,2964,DYU,2979,,0,320 U6,5234,ROV,2964,LED,2948,,0,320 U6,5234,SIP,2942,DME,4029,,0,320 319 U6,5234,SKD,2981,KJA,4374,,0,320 U6,5234,SKD,2981,SVX,2975,,0,320 U6,5234,SKG,1486,ATH,3941,,0,320 U6,5234,SVX,2975,AER,2965,,0,320 U6,5234,SVX,2975,CDG,1382,,0,320 U6,5234,SVX,2975,DME,4029,,0,320 U6,5234,SVX,2975,DWC,8076,,0,320 321 U6,5234,SVX,2975,DXB,2188,,0,320 U6,5234,SVX,2975,DYU,2979,,0,320 U6,5234,SVX,2975,EVN,3964,,0,320 U6,5234,SVX,2975,FCO,1555,,0,320 U6,5234,SVX,2975,FRU,2912,,0,320 U6,5234,SVX,2975,GYD,2922,,0,320 U6,5234,SVX,2975,HRB,3400,,0,320 U6,5234,SVX,2975,KJA,4374,,0,320 U6,5234,SVX,2975,KLV,1579,,0,320 U6,5234,SVX,2975,KRR,2960,,0,320 U6,5234,SVX,2975,LBD,6147,,0,320 U6,5234,SVX,2975,LCA,1197,,0,320 U6,5234,SVX,2975,LED,2948,,0,320 U6,5234,SVX,2975,MRV,2962,,0,320 U6,5234,SVX,2975,MUC,346,,0,320 U6,5234,SVX,2975,NMA,6150,,0,320 U6,5234,SVX,2975,NSK,4352,,0,320 U6,5234,SVX,2975,OSS,2913,,0,320 U6,5234,SVX,2975,OVB,4078,,0,320 U6,5234,SVX,2975,PEK,3364,,0,320 U6,5234,SVX,2975,PRG,1587,,0,320 U6,5234,SVX,2975,TAS,2983,,0,320 U6,5234,SVX,2975,TLV,1590,,0,320 U6,5234,TAS,2983,CEK,2968,,0,320 U6,5234,TAS,2983,GOJ,4274,,0,320 U6,5234,TAS,2983,KGD,2952,,0,320 U6,5234,TAS,2983,KJA,4374,,0,320 U6,5234,TAS,2983,KRR,2960,,0,320 U6,5234,TAS,2983,KUF,2993,,0,320 U6,5234,TAS,2983,SVX,2975,,0,320 U6,5234,TIV,1743,DME,4029,,0,320 U6,5234,TIV,1743,LED,2948,,0,320 U6,5234,TJU,7563,DME,4029,,0,320 U6,5234,TJU,7563,LED,2948,,0,320 U6,5234,TJU,7563,SVX,2975,,0,320 U6,5234,TLV,1590,SVX,2975,,0,320 U6,5234,UFA,2992,DME,4029,,0,320 U6,5234,UFA,2992,DYU,2979,,0,320 U6,5234,UFA,2992,LBD,6147,,0,320 U6,5234,UUD,2938,DME,4029,,0,319 U6,5234,VOG,2967,DYU,2979,,0,320 U6,5234,YKS,2923,OVB,4078,,0,320 U7,3721,BJM,1120,EBB,1187,,0,CRJ U7,3721,BJM,1120,KGL,1165,,0,CRJ U7,3721,DAR,1177,EBB,1187,,0,CRJ U7,3721,EBB,1187,BJM,1120,,0,CRJ U7,3721,EBB,1187,DAR,1177,,0,CRJ U7,3721,EBB,1187,JRO,1180,,0,CRJ U7,3721,EBB,1187,JUB,1173,,0,CRJ U7,3721,EBB,1187,KGL,1165,,0,CRJ U7,3721,EBB,1187,MGQ,5687,,0,CRJ U7,3721,EBB,1187,NBO,4059,,0,CRJ U7,3721,JRO,1180,EBB,1187,,0,CRJ U7,3721,JUB,1173,EBB,1187,,0,CRJ U7,3721,KGL,1165,BJM,1120,,0,CRJ U7,3721,KGL,1165,EBB,1187,,0,CRJ U7,3721,MGQ,5687,EBB,1187,,0,CRJ U7,3721,NBO,4059,EBB,1187,,0,CRJ UA,5209,ABE,4355,ORD,3830,Y,0,ER4 ERJ UA,5209,ABJ,253,BRU,302,Y,0,332 UA,5209,ABJ,253,LFW,298,Y,0,333 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UA,5209,BFS,465,EWR,3494,,0,752 UA,5209,BGM,4129,IAD,3714,Y,0,DH2 UA,5209,BHM,3811,DEN,3751,Y,0,ERJ UA,5209,BHM,3811,IAH,3550,Y,0,ERJ CRJ UA,5209,BHM,3811,ORD,3830,Y,0,ERJ CRJ UA,5209,BHX,469,BRU,302,Y,0,DH4 UA,5209,BHX,469,EWR,3494,,0,752 UA,5209,BIL,4021,DEN,3751,,0,320 739 738 319 UA,5209,BIM,1937,FLL,3533,Y,0,SF3 UA,5209,BIS,4083,DEN,3751,Y,0,CRJ ERJ UA,5209,BJL,1050,DKR,1084,Y,0,333 UA,5209,BJM,1120,NBO,4059,Y,0,332 UA,5209,BJX,1815,IAH,3550,Y,0,ERJ UA,5209,BJX,1815,LAX,3484,,0,319 UA,5209,BKK,3885,NRT,2279,Y,0,777 UA,5209,BKW,5724,IAD,3714,Y,0,SF3 UA,5209,BKW,5724,SHD,7062,Y,0,SF3 UA,5209,BNA,3690,CLE,3486,Y,0,ERJ UA,5209,BNA,3690,DEN,3751,Y,0,ERJ UA,5209,BNA,3690,EWR,3494,Y,0,ERJ UA,5209,BNA,3690,IAD,3714,Y,0,ERJ CRJ UA,5209,BNA,3690,IAH,3550,Y,0,ERJ UA,5209,BNA,3690,ORD,3830,Y,0,ERJ CRJ UA,5209,BOG,2709,EWR,3494,,0,73G UA,5209,BOG,2709,IAD,3714,Y,0,319 UA,5209,BOG,2709,IAH,3550,,0,752 73G UA,5209,BOG,2709,JFK,3797,Y,0,330 UA,5209,BOG,2709,MIA,3576,Y,0,330 UA,5209,BOI,3495,DEN,3751,,0,320 319 738 739 UA,5209,BOI,3495,LAX,3484,Y,0,CR7 UA,5209,BOI,3495,ORD,3830,Y,0,CR7 UA,5209,BOI,3495,SFO,3469,Y,0,CRJ CR7 UA,5209,BOM,2997,EWR,3494,,0,777 UA,5209,BON,2896,EWR,3494,,0,738 UA,5209,BON,2896,IAH,3550,,0,738 UA,5209,BOS,3448,CLE,3486,,0,738 UA,5209,BOS,3448,DEN,3751,,0,739 320 738 UA,5209,BOS,3448,DUB,599,Y,0,332 330 UA,5209,BOS,3448,EWR,3494,,0,73G 738 319 320 739 753 752 UA,5209,BOS,3448,FRA,340,Y,0,744 346 UA,5209,BOS,3448,IAD,3714,,0,320 319 739 738 752 73G UA,5209,BOS,3448,IAH,3550,,0,739 738 320 73G 319 UA,5209,BOS,3448,LAX,3484,,0,752 UA,5209,BOS,3448,MUC,346,Y,0,333 UA,5209,BOS,3448,ORD,3830,,0,739 752 738 73G 319 320 753 UA,5209,BOS,3448,PTY,1871,,0,73G UA,5209,BOS,3448,SFO,3469,,0,752 753 739 738 73G UA,5209,BOS,3448,YHZ,73,Y,0,CRJ UA,5209,BOS,3448,YOW,100,Y,0,DH1 UA,5209,BOS,3448,YUL,146,Y,0,CRJ DH3 UA,5209,BOS,3448,YYZ,193,Y,0,E90 E75 UA,5209,BOS,3448,ZRH,1678,Y,0,333 UA,5209,BQN,2885,EWR,3494,,0,738 739 UA,5209,BRO,3738,IAH,3550,Y,0,ERJ UA,5209,BRU,302,ABJ,253,Y,0,333 UA,5209,BRU,302,BHX,469,Y,0,DH4 UA,5209,BRU,302,BJM,1120,Y,0,332 UA,5209,BRU,302,COO,245,Y,0,332 UA,5209,BRU,302,DKR,1084,Y,0,333 UA,5209,BRU,302,DLA,897,Y,0,332 333 UA,5209,BRU,302,EWR,3494,,0,764 777 UA,5209,BRU,302,FNA,1059,Y,0,333 UA,5209,BRU,302,GOT,687,Y,0,DH4 UA,5209,BRU,302,HAJ,352,Y,0,DH4 UA,5209,BRU,302,IAD,3714,,0,777 332 UA,5209,BRU,302,JFK,3797,Y,0,333 UA,5209,BRU,302,KGL,1165,Y,0,332 UA,5209,BRU,302,LAD,951,Y,0,333 UA,5209,BRU,302,MAN,478,Y,0,DH4 UA,5209,BRU,302,NSI,4161,Y,0,332 UA,5209,BRU,302,ORD,3830,,0,777 UA,5209,BRU,302,OUA,246,Y,0,333 UA,5209,BRU,302,PRG,1587,Y,0,DH4 UA,5209,BRU,302,SXB,1435,Y,0,DH4 UA,5209,BTR,3846,IAH,3550,Y,0,ERJ UA,5209,BTV,3711,EWR,3494,,0,DH4 UA,5209,BTV,3711,IAD,3714,Y,0,DH4 CRJ ER4 CR7 UA,5209,BTV,3711,ORD,3830,Y,0,CR7 ERJ CRJ UA,5209,BUF,3820,CLE,3486,,0,DH3 UA,5209,BUF,3820,EWR,3494,Y,0,DH3 DH4 ERJ DH2 UA,5209,BUF,3820,IAD,3714,Y,0,DH4 CR7 DH2 ERJ CRJ UA,5209,BUF,3820,ORD,3830,,0,739 738 320 UA,5209,BUR,3644,DEN,3751,Y,0,CRJ UA,5209,BUR,3644,SFO,3469,Y,0,CR7 CRJ UA,5209,BWI,3849,CLE,3486,Y,0,ERJ DH3 UA,5209,BWI,3849,DEN,3751,,0,739 320 738 UA,5209,BWI,3849,EWR,3494,Y,0,DH3 ERJ DH2 UA,5209,BWI,3849,IAH,3550,,0,320 73G 739 319 738 UA,5209,BWI,3849,LAX,3484,,0,319 738 UA,5209,BWI,3849,ORD,3830,,0,73G 738 320 739 319 UA,5209,BWI,3849,SFO,3469,,0,738 739 319 UA,5209,BZE,1957,EWR,3494,,0,738 UA,5209,BZE,1957,IAH,3550,,0,73G 738 UA,5209,BZN,4020,DEN,3751,,0,73G UA,5209,BZN,4020,ORD,3830,Y,0,CR7 UA,5209,CAE,3561,IAD,3714,Y,0,CRJ UA,5209,CAE,3561,IAH,3550,Y,0,ERJ UA,5209,CAE,3561,ORD,3830,Y,0,CRJ ERJ UA,5209,CAI,1128,JFK,3797,Y,0,773 UA,5209,CAK,4112,ORD,3830,Y,0,ERJ UA,5209,CCS,2851,IAH,3550,,0,739 UA,5209,CDG,1382,EWR,3494,,0,764 752 763 UA,5209,CDG,1382,IAD,3714,,0,763 UA,5209,CDG,1382,ORD,3830,,0,763 UA,5209,CDG,1382,SFO,3469,,0,763 UA,5209,CDR,7066,DEN,3751,Y,0,BE1 UA,5209,CEC,5727,ACV,4384,Y,0,EM2 UA,5209,CEC,5727,SFO,3469,Y,0,EM2 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UA,5209,CLE,3486,DEN,3751,,0,73G 319 320 739 UA,5209,CLE,3486,DFW,3670,Y,0,ERJ CRJ UA,5209,CLE,3486,DUJ,5734,Y,0,BE1 UA,5209,CLE,3486,ERI,4276,,0,DH3 UA,5209,CLE,3486,EWR,3494,,0,738 320 73G 319 UA,5209,CLE,3486,FKL,4058,Y,0,BE1 UA,5209,CLE,3486,FLL,3533,,0,320 73G 738 UA,5209,CLE,3486,FNT,4089,,0,DH3 UA,5209,CLE,3486,GRR,3685,Y,0,ERJ CRJ UA,5209,CLE,3486,GSP,4034,Y,0,ERJ UA,5209,CLE,3486,IAD,3714,,0,DH4 UA,5209,CLE,3486,IAH,3550,,0,319 73G 320 738 UA,5209,CLE,3486,IND,3585,Y,0,DH3 ERJ E70 UA,5209,CLE,3486,JHW,7059,Y,0,BE1 UA,5209,CLE,3486,LAS,3877,,0,739 320 738 UA,5209,CLE,3486,LAX,3484,,0,738 739 320 319 UA,5209,CLE,3486,LGA,3697,Y,0,ERJ E70 UA,5209,CLE,3486,MCI,3458,Y,0,DH4 ERJ UA,5209,CLE,3486,MCO,3878,,0,738 320 73G 739 UA,5209,CLE,3486,MKE,3717,Y,0,ERJ CR7 UA,5209,CLE,3486,MSP,3858,Y,0,ERJ UA,5209,CLE,3486,MSY,3861,Y,0,ERJ UA,5209,CLE,3486,ORD,3830,,0,73G 319 738 320 UA,5209,CLE,3486,PBI,3722,Y,0,ERJ UA,5209,CLE,3486,PHX,3462,,0,738 320 UA,5209,CLE,3486,PKB,4114,Y,0,BE1 UA,5209,CLE,3486,RIC,3608,Y,0,ERJ ER4 UA,5209,CLE,3486,ROC,3622,Y,0,DH2 DH3 UA,5209,CLE,3486,RSW,3793,,0,319 738 320 UA,5209,CLE,3486,SDF,4014,Y,0,ERJ UA,5209,CLE,3486,SFO,3469,,0,739 738 319 UA,5209,CLE,3486,STL,3678,Y,0,ER4 ERJ UA,5209,CLE,3486,SYR,3745,Y,0,DH3 DH2 ERJ UA,5209,CLE,3486,TPA,3646,,0,73G 320 UA,5209,CLE,3486,YYZ,193,Y,0,DH2 DH3 UA,5209,CLL,3715,IAH,3550,Y,0,ERJ UA,5209,CLO,2715,BOG,2709,Y,0,320 318 UA,5209,CLO,2715,MIA,3576,Y,0,319 318 320 UA,5209,CLT,3876,CLE,3486,Y,0,ERJ UA,5209,CLT,3876,EWR,3494,Y,0,ERJ E70 UA,5209,CLT,3876,IAD,3714,Y,0,ERJ CR7 UA,5209,CLT,3876,IAH,3550,Y,0,ERJ E70 UA,5209,CLT,3876,ORD,3830,,0,320 319 UA,5209,CME,1789,IAH,3550,Y,0,ERJ UA,5209,CMH,3759,CLE,3486,Y,0,DH2 ERJ UA,5209,CMH,3759,DEN,3751,Y,0,E70 CR7 UA,5209,CMH,3759,EWR,3494,Y,0,DH4 ERJ E70 UA,5209,CMH,3759,IAD,3714,Y,0,E70 DH4 ERJ CR7 CRJ UA,5209,CMH,3759,IAH,3550,Y,0,E70 ERJ CR7 UA,5209,CMH,3759,ORD,3830,,0,738 319 739 UA,5209,CMH,3759,YYZ,193,Y,0,DH1 UA,5209,CMX,5732,ORD,3830,Y,0,CRJ UA,5209,CNS,3322,GUM,2246,,0,738 UA,5209,COD,4344,DEN,3751,Y,0,CRJ UA,5209,COO,245,ABJ,253,Y,0,332 UA,5209,COS,3819,DEN,3751,Y,0,CR7 CRJ DH4 ERJ UA,5209,COS,3819,IAD,3714,Y,0,CR7 UA,5209,COS,3819,IAH,3550,Y,0,CRJ ERJ UA,5209,COS,3819,LAX,3484,Y,0,CRJ CR7 UA,5209,COS,3819,ORD,3830,Y,0,CR7 ERJ CRJ UA,5209,COS,3819,SFO,3469,Y,0,CRJ UA,5209,CPH,609,OSL,644,Y,0,738 UA,5209,CPR,3872,DEN,3751,Y,0,CRJ UA,5209,CRP,3744,IAH,3550,Y,0,ERJ UA,5209,CTG,2714,MIA,3576,Y,0,318 320 UA,5209,CTS,2287,GUM,2246,,0,738 UA,5209,CUN,1852,AUS,3673,,0,739 UA,5209,CUN,1852,CLE,3486,,0,738 739 UA,5209,CUN,1852,DEN,3751,,0,739 UA,5209,CUN,1852,EWR,3494,,0,739 738 752 UA,5209,CUN,1852,IAD,3714,,0,739 738 UA,5209,CUN,1852,IAH,3550,,0,739 738 UA,5209,CUN,1852,LAX,3484,,0,739 738 UA,5209,CUN,1852,ORD,3830,,0,739 738 UA,5209,CUN,1852,SFO,3469,,0,739 UA,5209,CUU,1797,IAH,3550,Y,0,ERJ UA,5209,CVG,3488,DEN,3751,Y,0,CR7 ERJ UA,5209,CVG,3488,EWR,3494,Y,0,ERJ UA,5209,CVG,3488,IAD,3714,Y,0,CRJ CR7 ER4 ERJ UA,5209,CVG,3488,IAH,3550,Y,0,ERJ CR7 UA,5209,CVG,3488,ORD,3830,Y,0,CR7 ER4 ERJ CRJ UA,5209,CWA,4045,ORD,3830,Y,0,ERJ UA,5209,CYS,3804,DEN,3751,Y,0,BEH BE1 UA,5209,CYS,3804,WRL,5777,Y,0,BEH BE1 UA,5209,CZM,1800,IAH,3550,,0,738 739 UA,5209,DAL,3502,IAH,3550,Y,0,ERJ UA,5209,DAR,1177,NBO,4059,Y,0,333 UA,5209,DAY,3627,CLE,3486,Y,0,DH2 ER4 DH3 CRJ ERJ UA,5209,DAY,3627,DEN,3751,Y,0,CR7 UA,5209,DAY,3627,EWR,3494,Y,0,ERJ UA,5209,DAY,3627,IAD,3714,Y,0,ER4 CR7 CRJ ERJ UA,5209,DAY,3627,ORD,3830,Y,0,ER4 CR7 ERJ CRJ UA,5209,DCA,3520,CLE,3486,Y,0,ERJ E70 UA,5209,DCA,3520,DEN,3751,,0,738 752 320 UA,5209,DCA,3520,EWR,3494,Y,0,DH4 ERJ E70 UA,5209,DCA,3520,IAH,3550,,0,738 319 73G 320 752 UA,5209,DCA,3520,ORD,3830,,0,738 320 73G 319 UA,5209,DCA,3520,SFO,3469,,0,738 73G UA,5209,DDC,5733,DEN,3751,Y,0,BE1 UA,5209,DDC,5733,LBL,4341,Y,0,BE1 UA,5209,DEL,3093,EWR,3494,,0,777 UA,5209,DEN,3751,ABQ,4019,Y,0,DH4 E70 CRJ ERJ UA,5209,DEN,3751,AIA,7067,Y,0,BE1 UA,5209,DEN,3751,ALS,7073,Y,0,BE1 UA,5209,DEN,3751,AMA,3840,Y,0,ERJ UA,5209,DEN,3751,ANC,3774,,0,738 UA,5209,DEN,3751,ASE,7001,Y,0,CR7 UA,5209,DEN,3751,ATL,3682,Y,0,CR7 UA,5209,DEN,3751,AUS,3673,,0,738 739 752 UA,5209,DEN,3751,BFL,3558,Y,0,CRJ UA,5209,DEN,3751,BHM,3811,Y,0,ERJ UA,5209,DEN,3751,BIL,4021,,0,320 739 738 319 UA,5209,DEN,3751,BIS,4083,Y,0,CRJ ERJ UA,5209,DEN,3751,BNA,3690,Y,0,ERJ UA,5209,DEN,3751,BOI,3495,,0,319 320 738 739 UA,5209,DEN,3751,BOS,3448,,0,739 752 738 320 UA,5209,DEN,3751,BUR,3644,Y,0,CR7 CRJ UA,5209,DEN,3751,BWI,3849,,0,320 739 738 UA,5209,DEN,3751,BZN,4020,,0,73G UA,5209,DEN,3751,CID,4043,Y,0,CR7 CRJ ERJ UA,5209,DEN,3751,CLE,3486,,0,320 738 319 UA,5209,DEN,3751,CMH,3759,Y,0,ERJ CR7 E70 UA,5209,DEN,3751,COD,4344,Y,0,CRJ UA,5209,DEN,3751,COS,3819,Y,0,ERJ DH4 CRJ CR7 UA,5209,DEN,3751,CPR,3872,Y,0,CRJ UA,5209,DEN,3751,CUN,1852,,0,739 738 UA,5209,DEN,3751,CVG,3488,Y,0,ERJ CR7 UA,5209,DEN,3751,CYS,3804,Y,0,BEH BE1 UA,5209,DEN,3751,DAY,3627,Y,0,CR7 CRJ UA,5209,DEN,3751,DCA,3520,,0,738 752 320 UA,5209,DEN,3751,DFW,3670,,0,319 739 73G UA,5209,DEN,3751,DIK,7064,Y,0,ERJ UA,5209,DEN,3751,DRO,3713,Y,0,ERJ DH4 CRJ UA,5209,DEN,3751,DSM,3729,,0,738 73G 319 UA,5209,DEN,3751,DTW,3645,Y,0,CR7 E70 UA,5209,DEN,3751,EGE,4250,Y,0,DH4 UA,5209,DEN,3751,ELP,3559,Y,0,ERJ CRJ UA,5209,DEN,3751,EUG,4099,Y,0,CRJ CR7 UA,5209,DEN,3751,EWR,3494,,0,738 752 319 739 320 UA,5209,DEN,3751,FAR,4292,Y,0,CRJ ERJ UA,5209,DEN,3751,FAT,3687,Y,0,CRJ UA,5209,DEN,3751,FCA,4127,Y,0,CRJ UA,5209,DEN,3751,FLL,3533,,0,752 738 320 UA,5209,DEN,3751,FMN,3743,Y,0,BE1 UA,5209,DEN,3751,FRA,340,Y,0,744 UA,5209,DEN,3751,FSD,4009,Y,0,CRJ ERJ CR7 UA,5209,DEN,3751,GCC,4296,Y,0,EM2 UA,5209,DEN,3751,GEG,3467,,0,738 739 UA,5209,DEN,3751,GJT,4063,,0,DH4 UA,5209,DEN,3751,GRR,3685,Y,0,CR7 E70 UA,5209,DEN,3751,GTF,3880,Y,0,CRJ UA,5209,DEN,3751,GUC,7051,Y,0,ERJ UA,5209,DEN,3751,HDN,4339,Y,0,DH4 UA,5209,DEN,3751,HLN,3504,Y,0,CRJ UA,5209,DEN,3751,HNL,3728,,0,752 UA,5209,DEN,3751,HSV,4113,Y,0,ERJ UA,5209,DEN,3751,IAD,3714,,0,320 752 319 739 738 UA,5209,DEN,3751,IAH,3550,,0,739 738 752 788 320 753 319 73G UA,5209,DEN,3751,ICT,3457,,0,319 DH4 738 UA,5209,DEN,3751,IDA,4100,Y,0,CRJ UA,5209,DEN,3751,IND,3585,Y,0,ERJ E70 CR7 UA,5209,DEN,3751,ISN,3659,Y,0,ERJ UA,5209,DEN,3751,JAC,4027,,0,319 UA,5209,DEN,3751,KOA,3514,,0,752 UA,5209,DEN,3751,LAR,5746,Y,0,EM2 UA,5209,DEN,3751,LAS,3877,,0,738 320 739 752 UA,5209,DEN,3751,LAX,3484,,0,739 320 319 738 753 752 UA,5209,DEN,3751,LBB,3829,Y,0,ERJ UA,5209,DEN,3751,LGA,3697,,0,752 738 320 UA,5209,DEN,3751,LIH,3602,,0,752 UA,5209,DEN,3751,LIT,3660,Y,0,CRJ UA,5209,DEN,3751,LNK,3543,Y,0,ERJ CRJ UA,5209,DEN,3751,MAF,3652,Y,0,CRJ UA,5209,DEN,3751,MCI,3458,,0,DH4 UA,5209,DEN,3751,MCO,3878,,0,320 738 739 752 UA,5209,DEN,3751,MEM,3473,Y,0,CRJ ERJ UA,5209,DEN,3751,MEX,1824,,0,319 UA,5209,DEN,3751,MFR,4101,Y,0,CRJ UA,5209,DEN,3751,MIA,3576,,0,319 UA,5209,DEN,3751,MKE,3717,Y,0,CRJ UA,5209,DEN,3751,MLI,4072,Y,0,ERJ CR7 UA,5209,DEN,3751,MOT,3498,Y,0,CRJ ERJ UA,5209,DEN,3751,MRY,3948,Y,0,CRJ UA,5209,DEN,3751,MSN,3459,Y,0,CRJ ERJ CR7 UA,5209,DEN,3751,MSO,4216,Y,0,CRJ UA,5209,DEN,3751,MSP,3858,,0,320 UA,5209,DEN,3751,MSY,3861,,0,738 739 UA,5209,DEN,3751,MTJ,6880,Y,0,DH4 CRJ UA,5209,DEN,3751,NRT,2279,,0,788 UA,5209,DEN,3751,OGG,3456,,0,752 UA,5209,DEN,3751,OKC,3863,Y,0,DH4 ERJ CRJ UA,5209,DEN,3751,OMA,3454,,0,738 73G UA,5209,DEN,3751,ONT,3734,Y,0,CRJ UA,5209,DEN,3751,ORD,3830,,0,739 752 738 319 320 73G UA,5209,DEN,3751,PDX,3720,,0,752 319 738 739 320 UA,5209,DEN,3751,PHL,3752,,0,320 738 739 319 UA,5209,DEN,3751,PHX,3462,,0,739 738 320 UA,5209,DEN,3751,PIA,4046,Y,0,CRJ UA,5209,DEN,3751,PIR,5761,Y,0,BE1 UA,5209,DEN,3751,PIT,3570,,0,320 738 73G UA,5209,DEN,3751,PSC,6133,Y,0,CRJ UA,5209,DEN,3751,PSP,3839,Y,0,CRJ CR7 UA,5209,DEN,3751,PUB,3527,Y,0,EM2 UA,5209,DEN,3751,PVR,1836,,0,738 UA,5209,DEN,3751,RAP,4087,Y,0,DH4 ERJ CRJ UA,5209,DEN,3751,RDM,4103,Y,0,CRJ UA,5209,DEN,3751,RKS,5766,Y,0,EM2 UA,5209,DEN,3751,RNO,3807,,0,320 UA,5209,DEN,3751,RSW,3793,,0,738 UA,5209,DEN,3751,SAF,3784,Y,0,ERJ UA,5209,DEN,3751,SAN,3731,,0,320 738 752 739 319 UA,5209,DEN,3751,SAT,3621,,0,319 UA,5209,DEN,3751,SBA,3949,Y,0,CRJ UA,5209,DEN,3751,SDF,4014,Y,0,ERJ UA,5209,DEN,3751,SEA,3577,,0,320 738 739 UA,5209,DEN,3751,SFO,3469,,0,752 738 320 739 73G 319 753 UA,5209,DEN,3751,SGF,4348,Y,0,CRJ ERJ UA,5209,DEN,3751,SGU,4064,Y,0,CRJ UA,5209,DEN,3751,SHV,3609,Y,0,ERJ UA,5209,DEN,3751,SJC,3748,,0,319 752 738 73G UA,5209,DEN,3751,SJD,1840,,0,739 738 320 UA,5209,DEN,3751,SLC,3536,Y,0,CR7 ERJ DH4 CRJ E70 UA,5209,DEN,3751,SMF,3817,,0,320 739 UA,5209,DEN,3751,SNA,3867,,0,73G 320 738 752 UA,5209,DEN,3751,STL,3678,Y,0,CR7 E70 ERJ CRJ UA,5209,DEN,3751,TPA,3646,,0,739 73G 738 UA,5209,DEN,3751,TUL,3855,Y,0,CRJ ERJ CR7 UA,5209,DEN,3751,TUS,3636,Y,0,CR7 CRJ ERJ UA,5209,DEN,3751,TYS,3676,Y,0,ERJ UA,5209,DEN,3751,XNA,4356,Y,0,CRJ ERJ UA,5209,DEN,3751,YEG,49,,0,319 UA,5209,DEN,3751,YMM,90,Y,0,CR7 UA,5209,DEN,3751,YQR,120,Y,0,CRJ UA,5209,DEN,3751,YUL,146,Y,0,E90 UA,5209,DEN,3751,YVR,156,,0,319 320 738 UA,5209,DEN,3751,YWG,160,Y,0,CRJ ERJ UA,5209,DEN,3751,YXE,166,Y,0,ERJ UA,5209,DEN,3751,YYC,178,,0,738 320 739 UA,5209,DEN,3751,YYZ,193,Y,0,CR7 E90 UA,5209,DFW,3670,CLE,3486,Y,0,ERJ UA,5209,DFW,3670,DEN,3751,,0,319 738 320 739 UA,5209,DFW,3670,EWR,3494,,0,73G 319 738 UA,5209,DFW,3670,FRA,340,Y,0,333 UA,5209,DFW,3670,IAD,3714,,0,320 73G 738 UA,5209,DFW,3670,IAH,3550,,0,319 738 73G UA,5209,DFW,3670,LAX,3484,Y,0,CR7 UA,5209,DFW,3670,ORD,3830,,0,319 UA,5209,DFW,3670,SAL,1892,Y,0,E90 UA,5209,DFW,3670,SFO,3469,,0,319 739 UA,5209,DFW,3670,YYZ,193,Y,0,E75 UA,5209,DGO,1801,IAH,3550,Y,0,ERJ UA,5209,DGO,1801,LAX,3484,Y,0,ERJ UA,5209,DIK,7064,DEN,3751,Y,0,ERJ UA,5209,DKR,1084,BJL,1050,Y,0,333 UA,5209,DKR,1084,BRU,302,Y,0,333 UA,5209,DKR,1084,CKY,4162,Y,0,333 UA,5209,DKR,1084,IAD,3714,Y,0,343 UA,5209,DKR,1084,JNB,813,Y,0,343 UA,5209,DLA,897,BRU,302,Y,0,332 333 UA,5209,DLA,897,FIH,1020,Y,0,333 UA,5209,DLA,897,NSI,4161,Y,0,332 UA,5209,DLH,3598,ORD,3830,Y,0,CRJ UA,5209,DME,4029,VIE,1613,Y,0,320 UA,5209,DOH,11051,BAH,2057,Y,0,333 UA,5209,DOH,11051,DXB,2188,,0,777 UA,5209,DOH,11051,FRA,340,Y,0,333 UA,5209,DRO,3713,DEN,3751,Y,0,ERJ DH4 CRJ UA,5209,DSM,3729,DEN,3751,,0,319 738 73G UA,5209,DSM,3729,EWR,3494,Y,0,ERJ UA,5209,DSM,3729,IAH,3550,Y,0,ERJ UA,5209,DSM,3729,ORD,3830,,0,319 738 73G UA,5209,DTW,3645,DEN,3751,Y,0,CR7 E70 UA,5209,DTW,3645,EWR,3494,Y,0,ERJ E70 UA,5209,DTW,3645,FRA,340,Y,0,343 UA,5209,DTW,3645,IAD,3714,Y,0,CRJ CR7 ERJ ER4 E70 UA,5209,DTW,3645,IAH,3550,,0,320 319 73G UA,5209,DTW,3645,ORD,3830,,0,320 UA,5209,DTW,3645,YYZ,193,Y,0,CRJ BEH UA,5209,DUB,599,BOS,3448,Y,0,332 330 UA,5209,DUB,599,EWR,3494,,0,752 UA,5209,DUB,599,IAD,3714,,0,752 UA,5209,DUB,599,JFK,3797,Y,0,330 UA,5209,DUB,599,ORD,3830,Y,0,330 332 UA,5209,DUJ,5734,CLE,3486,Y,0,BE1 UA,5209,DUJ,5734,FKL,4058,Y,0,BE1 UA,5209,DUS,345,EWR,3494,Y,0,343 UA,5209,DUS,345,ORD,3830,Y,0,343 UA,5209,DXB,2188,DOH,11051,,0,777 UA,5209,DXB,2188,IAD,3714,,0,777 UA,5209,EAU,5735,ORD,3830,Y,0,CRJ UA,5209,EBB,1187,BRU,302,Y,0,332 UA,5209,EDI,535,BRU,302,Y,0,DH4 UA,5209,EDI,535,EWR,3494,,0,752 UA,5209,EGE,4250,DEN,3751,Y,0,DH4 UA,5209,ELH,1943,FLL,3533,Y,0,SF3 UA,5209,ELH,1943,PBI,3722,Y,0,SF3 UA,5209,ELM,3946,ORD,3830,Y,0,ERJ UA,5209,ELP,3559,DEN,3751,Y,0,ERJ CRJ UA,5209,ELP,3559,IAH,3550,Y,0,ERJ CRJ UA,5209,ERI,4276,CLE,3486,,0,DH3 UA,5209,EUG,4099,DEN,3751,Y,0,CRJ CR7 UA,5209,EUG,4099,PDX,3720,Y,0,EM2 UA,5209,EUG,4099,SFO,3469,Y,0,CRJ CR7 UA,5209,EVN,3964,VIE,1613,Y,0,320 321 UA,5209,EWR,3494,ALB,3864,Y,0,ERJ DH4 DH2 UA,5209,EWR,3494,AMS,580,,0,752 763 UA,5209,EWR,3494,ANU,2874,,0,738 739 UA,5209,EWR,3494,ARN,737,,0,752 UA,5209,EWR,3494,ATL,3682,Y,0,ERJ UA,5209,EWR,3494,AUA,2895,,0,753 739 UA,5209,EWR,3494,AUS,3673,,0,738 319 739 UA,5209,EWR,3494,BCN,1218,,0,752 UA,5209,EWR,3494,BDA,4069,,0,738 UA,5209,EWR,3494,BFS,465,,0,752 UA,5209,EWR,3494,BHX,469,,0,752 UA,5209,EWR,3494,BNA,3690,Y,0,ERJ UA,5209,EWR,3494,BOG,2709,,0,73G UA,5209,EWR,3494,BOM,2997,,0,777 UA,5209,EWR,3494,BON,2896,,0,738 UA,5209,EWR,3494,BOS,3448,,0,738 73G 320 319 739 UA,5209,EWR,3494,BQN,2885,,0,738 739 UA,5209,EWR,3494,BRU,302,,0,764 777 UA,5209,EWR,3494,BTV,3711,,0,DH4 UA,5209,EWR,3494,BUF,3820,Y,0,DH4 ERJ DH3 DH2 UA,5209,EWR,3494,BWI,3849,Y,0,ERJ DH3 DH2 UA,5209,EWR,3494,BZE,1957,,0,738 UA,5209,EWR,3494,CDG,1382,,0,764 752 763 UA,5209,EWR,3494,CHS,3806,Y,0,ERJ UA,5209,EWR,3494,CLE,3486,,0,738 319 73G 320 739 UA,5209,EWR,3494,CLT,3876,Y,0,ERJ E70 UA,5209,EWR,3494,CMH,3759,Y,0,ERJ DH4 E70 UA,5209,EWR,3494,CUN,1852,,0,739 738 752 UA,5209,EWR,3494,CVG,3488,Y,0,ERJ UA,5209,EWR,3494,DAY,3627,Y,0,ERJ UA,5209,EWR,3494,DCA,3520,,0,DH4 UA,5209,EWR,3494,DEL,3093,,0,777 UA,5209,EWR,3494,DEN,3751,,0,320 752 739 738 319 UA,5209,EWR,3494,DFW,3670,,0,319 73G 738 UA,5209,EWR,3494,DSM,3729,Y,0,ERJ UA,5209,EWR,3494,DTW,3645,Y,0,ERJ E70 UA,5209,EWR,3494,DUB,599,,0,752 UA,5209,EWR,3494,DUS,345,Y,0,343 UA,5209,EWR,3494,EDI,535,,0,752 UA,5209,EWR,3494,FCO,1555,,0,764 UA,5209,EWR,3494,FLL,3533,,0,738 320 73G 319 739 UA,5209,EWR,3494,FRA,340,,0,777 UA,5209,EWR,3494,GCM,1926,,0,739 UA,5209,EWR,3494,GLA,534,,0,752 UA,5209,EWR,3494,GRR,3685,Y,0,ERJ UA,5209,EWR,3494,GRU,2564,,0,764 UA,5209,EWR,3494,GSO,4008,Y,0,ERJ UA,5209,EWR,3494,GSP,4034,Y,0,ERJ UA,5209,EWR,3494,GUA,1767,,0,738 UA,5209,EWR,3494,GVA,1665,,0,763 UA,5209,EWR,3494,HAM,342,,0,752 UA,5209,EWR,3494,HKG,3077,,0,777 UA,5209,EWR,3494,HNL,3728,,0,764 UA,5209,EWR,3494,IAD,3714,,0,DH4 UA,5209,EWR,3494,IAH,3550,,0,739 738 320 752 73G 753 319 UA,5209,EWR,3494,IND,3585,Y,0,ERJ E70 UA,5209,EWR,3494,ITH,3947,Y,0,DH2 DH3 UA,5209,EWR,3494,JAX,3712,Y,0,ERJ UA,5209,EWR,3494,LAS,3877,,0,739 753 320 738 752 UA,5209,EWR,3494,LAX,3484,,0,739 738 319 752 753 UA,5209,EWR,3494,LHR,507,,0,763 752 777 UA,5209,EWR,3494,LIM,2789,,0,752 UA,5209,EWR,3494,LIR,1881,,0,738 UA,5209,EWR,3494,LIS,1638,,0,752 UA,5209,EWR,3494,MAD,1229,,0,752 UA,5209,EWR,3494,MAN,478,,0,752 UA,5209,EWR,3494,MBJ,1780,,0,738 UA,5209,EWR,3494,MCI,3458,Y,0,ERJ E70 UA,5209,EWR,3494,MCO,3878,,0,738 320 752 739 73G UA,5209,EWR,3494,MEM,3473,Y,0,ERJ UA,5209,EWR,3494,MEX,1824,,0,73G 738 UA,5209,EWR,3494,MHT,4011,Y,0,ERJ DH3 DH2 UA,5209,EWR,3494,MIA,3576,,0,739 738 320 73G UA,5209,EWR,3494,MKE,3717,Y,0,ERJ UA,5209,EWR,3494,MSN,3459,Y,0,ERJ UA,5209,EWR,3494,MSP,3858,Y,0,E70 ERJ UA,5209,EWR,3494,MSY,3861,,0,319 320 738 UA,5209,EWR,3494,MUC,346,,0,764 UA,5209,EWR,3494,MXP,1524,,0,764 UA,5209,EWR,3494,MYR,3515,Y,0,DH4 UA,5209,EWR,3494,NAS,1953,,0,320 738 UA,5209,EWR,3494,NRT,2279,,0,777 UA,5209,EWR,3494,OKC,3863,Y,0,ERJ E70 UA,5209,EWR,3494,OMA,3454,Y,0,ERJ UA,5209,EWR,3494,ORD,3830,,0,73G 320 738 752 319 739 763 UA,5209,EWR,3494,ORF,3611,Y,0,DH3 DH4 DH2 UA,5209,EWR,3494,OSL,644,,0,752 UA,5209,EWR,3494,PBI,3722,,0,738 319 739 320 752 UA,5209,EWR,3494,PDX,3720,,0,739 320 UA,5209,EWR,3494,PEK,3364,,0,777 UA,5209,EWR,3494,PHX,3462,,0,739 320 319 UA,5209,EWR,3494,PIT,3570,Y,0,ERJ DH4 E70 UA,5209,EWR,3494,PLS,1754,,0,739 738 UA,5209,EWR,3494,POP,1761,,0,739 UA,5209,EWR,3494,POS,2902,,0,738 UA,5209,EWR,3494,PTY,1871,,0,739 UA,5209,EWR,3494,PUJ,1760,,0,753 739 UA,5209,EWR,3494,PVD,3641,Y,0,DH3 DH2 ERJ UA,5209,EWR,3494,PVG,3406,,0,777 UA,5209,EWR,3494,PVR,1836,,0,738 UA,5209,EWR,3494,PWM,3862,,0,DH4 UA,5209,EWR,3494,RDU,3626,Y,0,ERJ DH4 E70 UA,5209,EWR,3494,RIC,3608,Y,0,ERJ UA,5209,EWR,3494,ROC,3622,Y,0,ERJ DH2 UA,5209,EWR,3494,RSW,3793,,0,320 738 739 UA,5209,EWR,3494,SAL,1892,,0,738 UA,5209,EWR,3494,SAN,3731,,0,739 738 UA,5209,EWR,3494,SAP,1772,,0,738 UA,5209,EWR,3494,SAT,3621,,0,739 73G UA,5209,EWR,3494,SAV,3613,Y,0,ERJ UA,5209,EWR,3494,SDF,4014,Y,0,ERJ UA,5209,EWR,3494,SDQ,1762,,0,739 UA,5209,EWR,3494,SEA,3577,,0,739 320 319 738 UA,5209,EWR,3494,SFO,3469,,0,739 319 738 752 73G UA,5209,EWR,3494,SJD,1840,,0,738 739 UA,5209,EWR,3494,SJO,1885,,0,738 UA,5209,EWR,3494,SJU,2890,,0,753 738 UA,5209,EWR,3494,SNA,3867,,0,319 738 73G UA,5209,EWR,3494,SNN,603,,0,752 UA,5209,EWR,3494,STL,3678,Y,0,ERJ E70 UA,5209,EWR,3494,STR,350,,0,752 UA,5209,EWR,3494,STT,2883,,0,73G UA,5209,EWR,3494,SXM,2899,,0,73G UA,5209,EWR,3494,SYR,3745,Y,0,DH2 DH3 UA,5209,EWR,3494,TLV,1590,,0,777 UA,5209,EWR,3494,TPA,3646,,0,739 73G 738 320 752 UA,5209,EWR,3494,TUL,3855,Y,0,ERJ UA,5209,EWR,3494,TXL,351,,0,752 UA,5209,EWR,3494,TYS,3676,Y,0,ERJ UA,5209,EWR,3494,UVF,2894,,0,739 UA,5209,EWR,3494,XNA,4356,Y,0,ERJ UA,5209,EWR,3494,YEG,49,,0,319 UA,5209,EWR,3494,YHZ,73,Y,0,ERJ UA,5209,EWR,3494,YOW,100,Y,0,ERJ UA,5209,EWR,3494,YQB,111,Y,0,ERJ UA,5209,EWR,3494,YQM,117,Y,0,ERJ UA,5209,EWR,3494,YUL,146,Y,0,ERJ CRJ E70 UA,5209,EWR,3494,YVR,156,Y,0,319 UA,5209,EWR,3494,YYT,189,,0,319 UA,5209,EWR,3494,YYZ,193,Y,0,E75 ERJ DH4 CRA UA,5209,EWR,3494,ZRH,1678,,0,764 UA,5209,EYW,3875,FLL,3533,Y,0,SF3 UA,5209,EYW,3875,RSW,3793,Y,0,SF3 UA,5209,EYW,3875,TPA,3646,Y,0,SF3 UA,5209,EZE,3988,IAH,3550,,0,763 UA,5209,FAR,4292,DEN,3751,Y,0,CRJ ERJ UA,5209,FAR,4292,ORD,3830,Y,0,CRJ ERJ UA,5209,FAT,3687,DEN,3751,Y,0,CR7 CRJ UA,5209,FAT,3687,LAS,3877,Y,0,EM2 UA,5209,FAT,3687,LAX,3484,Y,0,CR7 EM2 UA,5209,FAT,3687,SFO,3469,Y,0,EM2 CRJ UA,5209,FAY,5738,IAD,3714,Y,0,DH2 UA,5209,FCA,4127,DEN,3751,Y,0,CRJ UA,5209,FCO,1555,EWR,3494,,0,764 UA,5209,FCO,1555,IAD,3714,,0,763 UA,5209,FIH,1020,BRU,302,Y,0,333 UA,5209,FIH,1020,DLA,897,Y,0,333 UA,5209,FKL,4058,CLE,3486,Y,0,BE1 UA,5209,FKL,4058,DUJ,5734,Y,0,BE1 UA,5209,FLL,3533,BIM,1937,Y,0,SF3 UA,5209,FLL,3533,CLE,3486,,0,320 73G UA,5209,FLL,3533,DEN,3751,,0,320 738 UA,5209,FLL,3533,ELH,1943,Y,0,SF3 UA,5209,FLL,3533,EWR,3494,,0,739 320 738 73G 319 UA,5209,FLL,3533,EYW,3875,Y,0,SF3 UA,5209,FLL,3533,FPO,1948,Y,0,SF3 UA,5209,FLL,3533,GGT,1941,Y,0,SF3 UA,5209,FLL,3533,GHB,1944,Y,0,SF3 UA,5209,FLL,3533,IAD,3714,,0,752 UA,5209,FLL,3533,IAH,3550,,0,73G 738 739 319 320 UA,5209,FLL,3533,MCO,3878,Y,0,SF3 UA,5209,FLL,3533,MHH,1930,Y,0,SF3 UA,5209,FLL,3533,ORD,3830,,0,752 739 UA,5209,FLL,3533,SFO,3469,,0,738 752 UA,5209,FLL,3533,TCB,1934,Y,0,SF3 UA,5209,FLL,3533,TPA,3646,Y,0,SF3 UA,5209,FMN,3743,ALS,7073,Y,0,BE1 UA,5209,FMN,3743,DEN,3751,Y,0,BE1 UA,5209,FMN,3743,SOW,7078,Y,0,BE1 UA,5209,FNA,1059,ROB,1063,Y,0,333 UA,5209,FNT,4089,CLE,3486,,0,DH3 UA,5209,FOE,3843,ORD,3830,Y,0,ERJ UA,5209,FPO,1948,FLL,3533,Y,0,SF3 UA,5209,FRA,340,ATL,3682,Y,0,343 UA,5209,FRA,340,AUH,2179,Y,0,333 UA,5209,FRA,340,BOS,3448,Y,0,744 346 UA,5209,FRA,340,DEN,3751,Y,0,744 UA,5209,FRA,340,DFW,3670,Y,0,333 UA,5209,FRA,340,DOH,11051,Y,0,333 UA,5209,FRA,340,DTW,3645,Y,0,343 UA,5209,FRA,340,EWR,3494,,0,777 UA,5209,FRA,340,GYD,2922,Y,0,333 UA,5209,FRA,340,IAD,3714,,0,777 UA,5209,FRA,340,IAH,3550,,0,763 UA,5209,FRA,340,JED,2072,Y,0,333 UA,5209,FRA,340,JFK,3797,Y,0,388 744 UA,5209,FRA,340,LAX,3484,Y,0,74H UA,5209,FRA,340,LOS,273,Y,0,333 UA,5209,FRA,340,MCO,3878,Y,0,744 UA,5209,FRA,340,MIA,3576,Y,0,388 UA,5209,FRA,340,ORD,3830,,0,777 744 UA,5209,FRA,340,SEA,3577,Y,0,333 343 UA,5209,FRA,340,SFO,3469,,0,744 UA,5209,FRA,340,TSE,2910,Y,0,333 UA,5209,FSD,4009,DEN,3751,Y,0,ERJ CRJ CR7 UA,5209,FSD,4009,ORD,3830,Y,0,CRJ ERJ UA,5209,FUK,2305,GUM,2246,,0,738 73G UA,5209,FWA,4041,ORD,3830,Y,0,CRJ UA,5209,GCC,4296,DEN,3751,Y,0,EM2 UA,5209,GCM,1926,EWR,3494,,0,739 UA,5209,GCM,1926,IAD,3714,,0,738 UA,5209,GCM,1926,IAH,3550,,0,739 738 UA,5209,GDL,1804,IAH,3550,,0,319 73G UA,5209,GDL,1804,LAX,3484,,0,319 UA,5209,GDL,1804,SFO,3469,,0,319 738 UA,5209,GEG,3467,DEN,3751,,0,739 738 UA,5209,GGT,1941,FLL,3533,Y,0,SF3 UA,5209,GGT,1941,GHB,1944,Y,0,SF3 UA,5209,GHB,1944,FLL,3533,Y,0,SF3 UA,5209,GIG,2560,GRU,2564,,0,777 UA,5209,GIG,2560,IAH,3550,,0,777 UA,5209,GJT,4063,DEN,3751,,0,DH4 UA,5209,GJT,4063,IAH,3550,Y,0,ERJ UA,5209,GLA,534,EWR,3494,,0,752 UA,5209,GNV,3472,MCO,3878,Y,0,SF3 UA,5209,GNV,3472,TPA,3646,Y,0,SF3 UA,5209,GOT,687,ARN,737,Y,0,73H UA,5209,GPT,4038,IAH,3550,Y,0,ERJ UA,5209,GRB,3653,ORD,3830,Y,0,ERJ CRJ UA,5209,GRK,3775,IAH,3550,Y,0,ERJ UA,5209,GRR,3685,CLE,3486,Y,0,ERJ CRJ ER4 UA,5209,GRR,3685,DEN,3751,Y,0,CR7 E70 UA,5209,GRR,3685,EWR,3494,Y,0,ERJ E70 UA,5209,GRR,3685,IAD,3714,Y,0,ERJ ER4 UA,5209,GRR,3685,IAH,3550,Y,0,ERJ UA,5209,GRR,3685,ORD,3830,,0,319 320 UA,5209,GRU,2564,EWR,3494,,0,764 UA,5209,GRU,2564,GIG,2560,,0,777 UA,5209,GRU,2564,IAD,3714,,0,777 UA,5209,GRU,2564,IAH,3550,,0,763 UA,5209,GRU,2564,ORD,3830,,0,777 UA,5209,GSO,4008,EWR,3494,Y,0,ERJ UA,5209,GSO,4008,IAD,3714,Y,0,CRJ ERJ UA,5209,GSO,4008,ORD,3830,Y,0,CRJ ERJ CR7 ER4 UA,5209,GSP,4034,CLE,3486,Y,0,ERJ UA,5209,GSP,4034,EWR,3494,Y,0,ERJ UA,5209,GSP,4034,IAD,3714,Y,0,CRJ ER4 ERJ UA,5209,GSP,4034,IAH,3550,Y,0,ERJ UA,5209,GSP,4034,ORD,3830,Y,0,ERJ ER4 CRJ UA,5209,GTF,3880,DEN,3751,Y,0,CRJ UA,5209,GUA,1767,EWR,3494,,0,738 UA,5209,GUA,1767,IAD,3714,,0,738 UA,5209,GUA,1767,IAH,3550,,0,738 UA,5209,GUA,1767,MIA,3576,Y,0,E90 UA,5209,GUC,7051,DEN,3751,Y,0,ERJ UA,5209,GUM,2246,CNS,3322,,0,738 UA,5209,GUM,2246,CTS,2287,,0,738 UA,5209,GUM,2246,FUK,2305,,0,738 73G UA,5209,GUM,2246,HKG,3077,,0,738 73G UA,5209,GUM,2246,HNL,3728,,0,777 UA,5209,GUM,2246,KIX,3992,,0,73G 738 UA,5209,GUM,2246,MNL,2397,,0,738 UA,5209,GUM,2246,NGO,3942,,0,73G 738 UA,5209,GUM,2246,NRT,2279,,0,777 738 UA,5209,GUM,2246,OKJ,2327,,0,73G UA,5209,GUM,2246,ROP,2243,Y,0,ATR UA,5209,GUM,2246,ROR,2256,,0,73G 738 UA,5209,GUM,2246,SDJ,2347,,0,73G UA,5209,GUM,2246,SPN,2244,Y,0,ATR UA,5209,GUM,2246,TKK,2254,,0,738 73G UA,5209,GUM,2246,YAP,2258,,0,73G 738 UA,5209,GVA,1665,EWR,3494,,0,763 UA,5209,GVA,1665,IAD,3714,,0,763 UA,5209,GVA,1665,JFK,3797,Y,0,333 UA,5209,GVA,1665,YUL,146,Y,0,333 UA,5209,GYD,2922,ASB,2976,Y,0,333 UA,5209,GYD,2922,FRA,340,Y,0,333 UA,5209,HAJ,352,BRU,302,Y,0,DH4 UA,5209,HAM,342,EWR,3494,,0,752 UA,5209,HDN,4339,DEN,3751,Y,0,DH4 UA,5209,HKG,3077,EWR,3494,,0,777 UA,5209,HKG,3077,GUM,2246,,0,738 73G UA,5209,HKG,3077,ORD,3830,,0,777 UA,5209,HKG,3077,SFO,3469,,0,744 UA,5209,HKG,3077,SGN,3205,,0,738 73G UA,5209,HKG,3077,SIN,3316,,0,777 UA,5209,HLN,3504,DEN,3751,Y,0,CRJ UA,5209,HND,2359,HNL,3728,Y,0,763 UA,5209,HND,2359,LAX,3484,Y,0,777 UA,5209,HNL,3728,AKL,2006,Y,0,763 UA,5209,HNL,3728,DEN,3751,,0,752 UA,5209,HNL,3728,EWR,3494,,0,764 UA,5209,HNL,3728,GUM,2246,,0,777 UA,5209,HNL,3728,HND,2359,Y,0,763 UA,5209,HNL,3728,IAD,3714,,0,764 UA,5209,HNL,3728,IAH,3550,,0,764 UA,5209,HNL,3728,LAX,3484,,0,738 753 777 739 UA,5209,HNL,3728,LIH,3602,Y,0,AT7 UA,5209,HNL,3728,MAJ,2249,,0,738 UA,5209,HNL,3728,NRT,2279,,0,744 UA,5209,HNL,3728,OGG,3456,Y,0,AT7 UA,5209,HNL,3728,ORD,3830,,0,777 UA,5209,HNL,3728,PEK,3364,Y,0,330 UA,5209,HNL,3728,SFO,3469,,0,764 777 738 753 739 UA,5209,HOB,3749,IAH,3550,Y,0,ERJ UA,5209,HON,3491,PIR,5761,Y,0,BE1 UA,5209,HPN,3589,ORD,3830,Y,0,ERJ UA,5209,HRL,3560,IAH,3550,Y,0,ERJ CRJ UA,5209,HSV,4113,DEN,3751,Y,0,ERJ UA,5209,HSV,4113,IAD,3714,Y,0,ERJ CRJ UA,5209,HSV,4113,IAH,3550,Y,0,ERJ UA,5209,HSV,4113,ORD,3830,Y,0,ERJ UA,5209,HUX,1786,IAH,3550,Y,0,ERJ UA,5209,IAD,3714,ALB,3864,Y,0,DH4 DH2 CR7 CRJ ERJ UA,5209,IAD,3714,AMS,580,,0,763 UA,5209,IAD,3714,AOO,3694,Y,0,SF3 UA,5209,IAD,3714,ATL,3682,Y,0,CR7 CRJ ERJ E70 UA,5209,IAD,3714,AUA,2895,,0,739 UA,5209,IAD,3714,AUS,3673,,0,319 UA,5209,IAD,3714,BDL,3825,,0,738 319 320 UA,5209,IAD,3714,BGM,4129,Y,0,DH2 UA,5209,IAD,3714,BKW,5724,Y,0,SF3 UA,5209,IAD,3714,BNA,3690,Y,0,ERJ CRJ UA,5209,IAD,3714,BOG,2709,Y,0,319 UA,5209,IAD,3714,BOS,3448,,0,320 752 73G 739 738 UA,5209,IAD,3714,BRU,302,,0,777 332 UA,5209,IAD,3714,BTV,3711,Y,0,CRJ DH4 CR7 ERJ ER4 UA,5209,IAD,3714,BUF,3820,Y,0,DH4 ERJ DH2 E70 CRJ CR7 ER4 UA,5209,IAD,3714,CAE,3561,Y,0,CRJ UA,5209,IAD,3714,CDG,1382,,0,763 UA,5209,IAD,3714,CHO,4015,Y,0,DH2 UA,5209,IAD,3714,CHS,3806,Y,0,CRJ UA,5209,IAD,3714,CLE,3486,,0,DH4 UA,5209,IAD,3714,CLT,3876,Y,0,CR7 ERJ UA,5209,IAD,3714,CMH,3759,Y,0,DH4 ERJ CR7 ER4 E70 UA,5209,IAD,3714,COS,3819,Y,0,CR7 UA,5209,IAD,3714,CRW,4285,Y,0,DH2 ERJ UA,5209,IAD,3714,CUN,1852,,0,739 738 UA,5209,IAD,3714,CVG,3488,Y,0,CRJ CR7 ERJ UA,5209,IAD,3714,DAY,3627,Y,0,ER4 CR7 CRJ ERJ UA,5209,IAD,3714,DEN,3751,,0,739 752 319 738 320 753 UA,5209,IAD,3714,DFW,3670,,0,320 73G 738 UA,5209,IAD,3714,DKR,1084,Y,0,343 UA,5209,IAD,3714,DTW,3645,Y,0,CRJ CR7 ERJ ER4 E70 UA,5209,IAD,3714,DUB,599,,0,752 UA,5209,IAD,3714,DXB,2188,,0,777 UA,5209,IAD,3714,EWR,3494,Y,0,DH4 DH2 ERJ E70 UA,5209,IAD,3714,FAY,5738,Y,0,DH2 UA,5209,IAD,3714,FCO,1555,,0,763 UA,5209,IAD,3714,FLL,3533,,0,752 UA,5209,IAD,3714,FRA,340,,0,777 UA,5209,IAD,3714,GCM,1926,,0,738 UA,5209,IAD,3714,GRR,3685,Y,0,ER4 ERJ CR7 UA,5209,IAD,3714,GRU,2564,,0,777 UA,5209,IAD,3714,GSO,4008,Y,0,CRJ ERJ UA,5209,IAD,3714,GSP,4034,Y,0,CRJ ER4 ERJ UA,5209,IAD,3714,GUA,1767,,0,738 UA,5209,IAD,3714,GVA,1665,,0,763 UA,5209,IAD,3714,HNL,3728,,0,764 UA,5209,IAD,3714,HSV,4113,Y,0,ERJ CRJ UA,5209,IAD,3714,IAH,3550,,0,320 738 763 739 73G UA,5209,IAD,3714,IND,3585,Y,0,CR7 ERJ E70 UA,5209,IAD,3714,JAX,3712,Y,0,ERJ CR7 UA,5209,IAD,3714,JFK,3797,Y,0,CRJ UA,5209,IAD,3714,JST,4169,Y,0,SF3 UA,5209,IAD,3714,KWI,2176,,0,777 UA,5209,IAD,3714,LAS,3877,,0,320 752 UA,5209,IAD,3714,LAX,3484,,0,753 320 319 752 739 738 UA,5209,IAD,3714,LGA,3697,Y,0,CRJ ERJ E70 CR7 UA,5209,IAD,3714,LHR,507,,0,752 777 UA,5209,IAD,3714,LWB,6958,Y,0,SF3 UA,5209,IAD,3714,MAN,478,,0,752 UA,5209,IAD,3714,MBJ,1780,,0,738 UA,5209,IAD,3714,MCI,3458,Y,0,CR7 ERJ UA,5209,IAD,3714,MCO,3878,,0,320 738 739 752 UA,5209,IAD,3714,MDT,3542,Y,0,ER4 UA,5209,IAD,3714,MEX,1824,,0,320 73G UA,5209,IAD,3714,MGW,4284,Y,0,SF3 UA,5209,IAD,3714,MIA,3576,,0,319 UA,5209,IAD,3714,MSP,3858,Y,0,CR7 UA,5209,IAD,3714,MSY,3861,,0,738 739 UA,5209,IAD,3714,MUC,346,,0,764 UA,5209,IAD,3714,NRT,2279,,0,777 UA,5209,IAD,3714,OKC,3863,Y,0,E70 ERJ CR7 UA,5209,IAD,3714,OMA,3454,Y,0,CR7 UA,5209,IAD,3714,ORD,3830,,0,319 320 752 753 739 738 UA,5209,IAD,3714,ORF,3611,Y,0,CRJ ERJ ER4 CR7 DH4 UA,5209,IAD,3714,PDX,3720,,0,752 739 738 73G UA,5209,IAD,3714,PEK,3364,,0,777 UA,5209,IAD,3714,PHL,3752,Y,0,ER4 UA,5209,IAD,3714,PHX,3462,,0,320 UA,5209,IAD,3714,PIT,3570,Y,0,E70 ERJ DH4 CR7 UA,5209,IAD,3714,PTY,1871,,0,73G UA,5209,IAD,3714,PUJ,1760,,0,739 UA,5209,IAD,3714,PVD,3641,Y,0,DH4 CR7 DH2 CRJ UA,5209,IAD,3714,PWM,3862,Y,0,CRJ ER4 UA,5209,IAD,3714,RDU,3626,,0,320 738 UA,5209,IAD,3714,RIC,3608,Y,0,ERJ CR7 UA,5209,IAD,3714,ROA,4016,Y,0,ER4 DH2 UA,5209,IAD,3714,ROC,3622,Y,0,DH2 ERJ CRJ UA,5209,IAD,3714,SAN,3731,,0,739 738 320 752 319 UA,5209,IAD,3714,SAT,3621,Y,0,CR7 E70 UA,5209,IAD,3714,SAV,3613,Y,0,CRJ ERJ CR7 UA,5209,IAD,3714,SCE,4318,Y,0,DH2 UA,5209,IAD,3714,SDF,4014,Y,0,ERJ UA,5209,IAD,3714,SEA,3577,,0,739 752 320 UA,5209,IAD,3714,SFO,3469,,0,752 320 753 738 739 319 UA,5209,IAD,3714,SHD,7062,Y,0,SF3 UA,5209,IAD,3714,SJO,1885,,0,738 UA,5209,IAD,3714,SJU,2890,,0,739 738 UA,5209,IAD,3714,SMF,3817,,0,320 UA,5209,IAD,3714,STL,3678,Y,0,ER4 CR7 UA,5209,IAD,3714,STT,2883,,0,73G UA,5209,IAD,3714,SXM,2899,,0,73G UA,5209,IAD,3714,SYR,3745,Y,0,CRJ DH4 ERJ ER4 DH2 UA,5209,IAD,3714,TPA,3646,,0,320 738 739 UA,5209,IAD,3714,TUL,3855,Y,0,ERJ CR7 UA,5209,IAD,3714,TYS,3676,Y,0,ERJ UA,5209,IAD,3714,VIE,1613,Y,0,763 UA,5209,IAD,3714,YOW,100,Y,0,ERJ E70 UA,5209,IAD,3714,YUL,146,Y,0,ERJ CRJ UA,5209,IAD,3714,YYZ,193,Y,0,ERJ CRJ CR7 DH4 UA,5209,IAD,3714,ZRH,1678,,0,763 764 UA,5209,IAH,3550,ABQ,4019,,0,320 738 73G UA,5209,IAH,3550,ACA,1783,Y,0,ERJ UA,5209,IAH,3550,ACY,3524,Y,0,ERJ UA,5209,IAH,3550,AEX,3852,Y,0,ERJ UA,5209,IAH,3550,AGU,1785,Y,0,ERJ UA,5209,IAH,3550,AMA,3840,Y,0,ERJ UA,5209,IAH,3550,AMS,580,,0,777 UA,5209,IAH,3550,ATL,3682,Y,0,CRJ ERJ E70 UA,5209,IAH,3550,AUS,3673,,0,319 73G 738 739 320 UA,5209,IAH,3550,BFL,3558,Y,0,CR7 UA,5209,IAH,3550,BHM,3811,Y,0,CRJ ERJ UA,5209,IAH,3550,BJX,1815,Y,0,ERJ UA,5209,IAH,3550,BNA,3690,Y,0,ERJ UA,5209,IAH,3550,BOG,2709,,0,752 73G UA,5209,IAH,3550,BON,2896,,0,738 UA,5209,IAH,3550,BOS,3448,,0,739 738 320 752 73G 319 UA,5209,IAH,3550,BRO,3738,Y,0,ERJ UA,5209,IAH,3550,BTR,3846,Y,0,ERJ UA,5209,IAH,3550,BWI,3849,,0,73G 739 320 738 319 UA,5209,IAH,3550,BZE,1957,,0,73G 738 UA,5209,IAH,3550,CAE,3561,Y,0,ERJ UA,5209,IAH,3550,CCS,2851,,0,739 UA,5209,IAH,3550,CHS,3806,Y,0,ERJ UA,5209,IAH,3550,CLE,3486,,0,320 738 73G UA,5209,IAH,3550,CLL,3715,Y,0,ERJ UA,5209,IAH,3550,CLT,3876,Y,0,ERJ E70 UA,5209,IAH,3550,CME,1789,Y,0,ERJ UA,5209,IAH,3550,CMH,3759,Y,0,ERJ E70 UA,5209,IAH,3550,COS,3819,Y,0,CRJ CR7 ERJ UA,5209,IAH,3550,CRP,3744,Y,0,ERJ UA,5209,IAH,3550,CRW,4285,Y,0,ERJ UA,5209,IAH,3550,CUN,1852,,0,739 738 UA,5209,IAH,3550,CUU,1797,Y,0,ERJ UA,5209,IAH,3550,CVG,3488,Y,0,ERJ CR7 UA,5209,IAH,3550,CZM,1800,,0,738 739 UA,5209,IAH,3550,DAL,3502,Y,0,ERJ UA,5209,IAH,3550,DCA,3520,,0,73G 319 738 320 UA,5209,IAH,3550,DEN,3751,,0,320 752 788 738 739 753 319 UA,5209,IAH,3550,DFW,3670,Y,0,ERJ E70 CRJ CR7 UA,5209,IAH,3550,DGO,1801,Y,0,ERJ UA,5209,IAH,3550,DSM,3729,Y,0,ERJ CRJ UA,5209,IAH,3550,DTW,3645,,0,319 320 73G UA,5209,IAH,3550,ELP,3559,Y,0,ERJ CRJ UA,5209,IAH,3550,EWR,3494,,0,739 73G 738 320 752 319 UA,5209,IAH,3550,EZE,3988,,0,763 UA,5209,IAH,3550,FLL,3533,,0,739 320 73G 738 752 UA,5209,IAH,3550,FRA,340,,0,763 UA,5209,IAH,3550,GCM,1926,,0,739 738 UA,5209,IAH,3550,GDL,1804,,0,319 73G UA,5209,IAH,3550,GIG,2560,,0,777 UA,5209,IAH,3550,GJT,4063,Y,0,ERJ UA,5209,IAH,3550,GPT,4038,Y,0,ERJ UA,5209,IAH,3550,GRK,3775,Y,0,ERJ UA,5209,IAH,3550,GRR,3685,Y,0,ERJ CRJ UA,5209,IAH,3550,GRU,2564,,0,763 UA,5209,IAH,3550,GSP,4034,Y,0,ERJ UA,5209,IAH,3550,GUA,1767,,0,738 UA,5209,IAH,3550,HNL,3728,,0,764 UA,5209,IAH,3550,HOB,3749,Y,0,ERJ UA,5209,IAH,3550,HRL,3560,Y,0,ERJ CRJ UA,5209,IAH,3550,HSV,4113,Y,0,ERJ UA,5209,IAH,3550,HUX,1786,Y,0,ERJ UA,5209,IAH,3550,IAD,3714,,0,738 763 739 320 319 UA,5209,IAH,3550,ICT,3457,Y,0,CRJ ERJ UA,5209,IAH,3550,IND,3585,,0,319 UA,5209,IAH,3550,JAN,3580,Y,0,ERJ UA,5209,IAH,3550,JAX,3712,Y,0,ERJ UA,5209,IAH,3550,LAS,3877,,0,320 739 73G 738 319 752 UA,5209,IAH,3550,LAX,3484,,0,752 739 738 753 320 319 UA,5209,IAH,3550,LBB,3829,Y,0,ERJ UA,5209,IAH,3550,LCH,3513,Y,0,ERJ UA,5209,IAH,3550,LEX,4017,Y,0,ERJ UA,5209,IAH,3550,LFT,3493,Y,0,ERJ UA,5209,IAH,3550,LGA,3697,,0,320 738 73G 319 UA,5209,IAH,3550,LHR,507,,0,763 788 UA,5209,IAH,3550,LIM,2789,,0,763 UA,5209,IAH,3550,LIR,1881,,0,739 738 UA,5209,IAH,3550,LIT,3660,Y,0,ERJ CRJ UA,5209,IAH,3550,LOS,273,,0,788 UA,5209,IAH,3550,LRD,3691,Y,0,ERJ UA,5209,IAH,3550,MAF,3652,Y,0,CRJ ERJ UA,5209,IAH,3550,MBJ,1780,,0,739 738 UA,5209,IAH,3550,MCI,3458,Y,0,ERJ E70 CRJ CR7 UA,5209,IAH,3550,MCO,3878,,0,739 738 320 73G 753 UA,5209,IAH,3550,MEM,3473,Y,0,ERJ ER4 CRJ UA,5209,IAH,3550,MEX,1824,,0,320 319 73G UA,5209,IAH,3550,MFE,3826,Y,0,ERJ CRJ UA,5209,IAH,3550,MGA,1863,,0,738 739 UA,5209,IAH,3550,MIA,3576,,0,319 738 73G 320 739 UA,5209,IAH,3550,MID,1819,,0,73G UA,5209,IAH,3550,MKE,3717,Y,0,ERJ CRJ UA,5209,IAH,3550,MLM,1821,Y,0,ERJ UA,5209,IAH,3550,MLU,3732,Y,0,ERJ UA,5209,IAH,3550,MOB,3782,Y,0,ERJ UA,5209,IAH,3550,MSP,3858,Y,0,ERJ E70 CR7 UA,5209,IAH,3550,MSY,3861,,0,320 73G 738 319 UA,5209,IAH,3550,MTY,1825,Y,0,ERJ UA,5209,IAH,3550,MUC,346,,0,764 UA,5209,IAH,3550,NAS,1953,,0,320 738 739 UA,5209,IAH,3550,NRT,2279,,0,777 UA,5209,IAH,3550,OAX,1829,Y,0,ERJ 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UA,5209,LAX,3484,DFW,3670,Y,0,CR7 UA,5209,LAX,3484,DGO,1801,Y,0,ERJ UA,5209,LAX,3484,EWR,3494,,0,738 319 752 739 320 753 UA,5209,LAX,3484,FAT,3687,Y,0,EM2 CR7 UA,5209,LAX,3484,FRA,340,Y,0,74H UA,5209,LAX,3484,GDL,1804,,0,319 UA,5209,LAX,3484,HND,2359,Y,0,777 UA,5209,LAX,3484,HNL,3728,,0,777 738 753 739 UA,5209,LAX,3484,IAD,3714,,0,753 320 752 739 738 UA,5209,LAX,3484,IAH,3550,,0,739 320 738 319 752 753 UA,5209,LAX,3484,ICN,3930,Y,0,77L 744 UA,5209,LAX,3484,ICT,3457,Y,0,CR7 UA,5209,LAX,3484,IGM,6132,Y,0,BE1 UA,5209,LAX,3484,ITO,3415,,0,738 UA,5209,LAX,3484,JFK,3797,,0,757 UA,5209,LAX,3484,KOA,3514,,0,753 UA,5209,LAX,3484,LAS,3877,,0,739 319 738 320 752 UA,5209,LAX,3484,LHR,507,,0,777 UA,5209,LAX,3484,LIH,3602,,0,752 UA,5209,LAX,3484,MCO,3878,,0,739 UA,5209,LAX,3484,MEX,1824,,0,320 UA,5209,LAX,3484,MRY,3948,Y,0,CRJ UA,5209,LAX,3484,MSP,3858,Y,0,CR7 UA,5209,LAX,3484,MSY,3861,,0,320 319 738 UA,5209,LAX,3484,MUC,346,Y,0,346 UA,5209,LAX,3484,NRT,2279,,0,788 UA,5209,LAX,3484,OGG,3456,,0,753 738 UA,5209,LAX,3484,OKC,3863,Y,0,CR7 UA,5209,LAX,3484,ORD,3830,,0,739 738 752 320 319 753 UA,5209,LAX,3484,PDX,3720,Y,0,CR7 CRJ UA,5209,LAX,3484,PEK,3364,Y,0,773 UA,5209,LAX,3484,PHX,3462,Y,0,CR7 CRJ UA,5209,LAX,3484,PIT,3570,,0,319 738 UA,5209,LAX,3484,PSP,3839,Y,0,EM2 CR7 CRJ UA,5209,LAX,3484,PTY,1871,Y,0,738 UA,5209,LAX,3484,PVG,3406,,0,788 UA,5209,LAX,3484,PVR,1836,,0,738 UA,5209,LAX,3484,RNO,3807,Y,0,CR7 UA,5209,LAX,3484,SAL,1892,Y,0,320 321 UA,5209,LAX,3484,SAN,3731,Y,0,EM2 CR7 UA,5209,LAX,3484,SAT,3621,Y,0,CR7 UA,5209,LAX,3484,SBA,3949,Y,0,EM2 UA,5209,LAX,3484,SBP,5768,Y,0,EM2 UA,5209,LAX,3484,SEA,3577,,0,319 738 320 752 UA,5209,LAX,3484,SFO,3469,,0,739 752 753 319 320 738 UA,5209,LAX,3484,SJC,3748,Y,0,CR7 UA,5209,LAX,3484,SJD,1840,,0,739 320 UA,5209,LAX,3484,SLC,3536,Y,0,CR7 CRJ UA,5209,LAX,3484,SMF,3817,Y,0,CR7 CRJ UA,5209,LAX,3484,SMX,5772,Y,0,EM2 UA,5209,LAX,3484,SYD,3361,,0,777 UA,5209,LAX,3484,TUS,3636,Y,0,CRJ CR7 UA,5209,LAX,3484,YLW,87,Y,0,CR7 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UA,5209,ORD,3830,DFW,3670,,0,73G 738 320 UA,5209,ORD,3830,DLH,3598,Y,0,CRJ UA,5209,ORD,3830,DSM,3729,,0,319 73G UA,5209,ORD,3830,DTW,3645,,0,320 UA,5209,ORD,3830,DUB,599,Y,0,330 332 UA,5209,ORD,3830,DUS,345,Y,0,343 UA,5209,ORD,3830,EAU,5735,Y,0,CRJ UA,5209,ORD,3830,ELM,3946,Y,0,ERJ UA,5209,ORD,3830,EWR,3494,,0,319 320 73G 763 752 739 738 UA,5209,ORD,3830,FAR,4292,Y,0,CRJ ERJ UA,5209,ORD,3830,FLL,3533,,0,738 752 320 739 UA,5209,ORD,3830,FOE,3843,Y,0,ERJ UA,5209,ORD,3830,FRA,340,,0,777 744 UA,5209,ORD,3830,FSD,4009,Y,0,ERJ CRJ CR7 UA,5209,ORD,3830,FWA,4041,Y,0,CRJ UA,5209,ORD,3830,GRB,3653,Y,0,CRJ ERJ UA,5209,ORD,3830,GRR,3685,,0,319 320 UA,5209,ORD,3830,GRU,2564,,0,777 UA,5209,ORD,3830,GSO,4008,Y,0,ERJ CR7 CRJ ER4 UA,5209,ORD,3830,GSP,4034,Y,0,ER4 ERJ CRJ UA,5209,ORD,3830,HKG,3077,,0,777 UA,5209,ORD,3830,HNL,3728,,0,777 UA,5209,ORD,3830,HPN,3589,Y,0,ERJ UA,5209,ORD,3830,HSV,4113,Y,0,ERJ UA,5209,ORD,3830,IAD,3714,,0,777 320 752 739 73G 753 319 UA,5209,ORD,3830,IAH,3550,,0,739 738 752 320 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ERJ UA,5209,ORD,3830,MSP,3858,,0,73G 738 319 320 UA,5209,ORD,3830,MSY,3861,,0,320 319 UA,5209,ORD,3830,MTY,1825,Y,0,CR7 UA,5209,ORD,3830,MUC,346,,0,763 777 UA,5209,ORD,3830,MYR,3515,Y,0,E70 UA,5209,ORD,3830,NAS,1953,Y,0,CR7 UA,5209,ORD,3830,NRT,2279,,0,744 UA,5209,ORD,3830,OGG,3456,,0,777 UA,5209,ORD,3830,OKC,3863,Y,0,E70 ER4 ERJ CR7 UA,5209,ORD,3830,OMA,3454,,0,319 73G 738 UA,5209,ORD,3830,ORF,3611,Y,0,CRJ ER4 ERJ CR7 UA,5209,ORD,3830,PAH,4117,Y,0,CRJ UA,5209,ORD,3830,PDX,3720,,0,739 738 320 752 319 UA,5209,ORD,3830,PEK,3364,,0,777 UA,5209,ORD,3830,PHL,3752,,0,320 738 739 752 73G UA,5209,ORD,3830,PHX,3462,,0,752 320 739 738 UA,5209,ORD,3830,PIA,4046,Y,0,ERJ ER4 CRJ UA,5209,ORD,3830,PIT,3570,,0,738 319 320 739 UA,5209,ORD,3830,PNS,3564,Y,0,ERJ UA,5209,ORD,3830,PTY,1871,Y,0,738 UA,5209,ORD,3830,PUJ,1760,,0,739 738 UA,5209,ORD,3830,PVD,3641,,0,320 UA,5209,ORD,3830,PVG,3406,,0,744 UA,5209,ORD,3830,PVR,1836,,0,739 320 UA,5209,ORD,3830,PWM,3862,Y,0,CR7 ERJ UA,5209,ORD,3830,RAP,4087,Y,0,ERJ UA,5209,ORD,3830,RDU,3626,,0,73G 738 UA,5209,ORD,3830,RIC,3608,,0,319 UA,5209,ORD,3830,ROA,4016,Y,0,ERJ ER4 UA,5209,ORD,3830,ROC,3622,,0,738 320 319 UA,5209,ORD,3830,RSW,3793,,0,738 320 UA,5209,ORD,3830,SAN,3731,,0,73G 320 738 739 319 UA,5209,ORD,3830,SAT,3621,Y,0,CR7 E70 UA,5209,ORD,3830,SAV,3613,Y,0,CR7 ERJ CRJ UA,5209,ORD,3830,SBN,4359,Y,0,CR7 ERJ CRJ E70 UA,5209,ORD,3830,SCE,4318,Y,0,ERJ UA,5209,ORD,3830,SDF,4014,Y,0,ERJ CRJ E70 UA,5209,ORD,3830,SEA,3577,,0,320 752 738 739 UA,5209,ORD,3830,SFO,3469,,0,752 739 320 738 753 319 777 UA,5209,ORD,3830,SGF,4348,Y,0,ER4 CRJ UA,5209,ORD,3830,SJD,1840,,0,320 UA,5209,ORD,3830,SJO,1885,,0,738 UA,5209,ORD,3830,SJU,2890,,0,738 739 UA,5209,ORD,3830,SLC,3536,Y,0,CR7 E70 UA,5209,ORD,3830,SMF,3817,,0,319 739 320 UA,5209,ORD,3830,SNA,3867,,0,73G 752 319 UA,5209,ORD,3830,SPI,4336,Y,0,CRJ UA,5209,ORD,3830,SRQ,4067,,0,738 319 320 UA,5209,ORD,3830,STC,4271,Y,0,CRJ UA,5209,ORD,3830,STL,3678,Y,0,CR7 ERJ ER4 UA,5209,ORD,3830,STT,2883,,0,73G UA,5209,ORD,3830,SXM,2899,,0,73G UA,5209,ORD,3830,SYR,3745,Y,0,ER4 ERJ CR7 CRJ UA,5209,ORD,3830,TPA,3646,,0,739 73G 320 738 UA,5209,ORD,3830,TUL,3855,Y,0,ERJ CRJ CR7 UA,5209,ORD,3830,TVC,4023,Y,0,ERJ CRJ UA,5209,ORD,3830,TYS,3676,Y,0,ERJ UA,5209,ORD,3830,VIE,1613,Y,0,763 UA,5209,ORD,3830,XNA,4356,Y,0,ERJ CRJ UA,5209,ORD,3830,YEG,49,Y,0,E70 CR7 UA,5209,ORD,3830,YHZ,73,Y,0,ERJ UA,5209,ORD,3830,YOW,100,Y,0,ERJ E70 UA,5209,ORD,3830,YQB,111,Y,0,ERJ UA,5209,ORD,3830,YQR,120,Y,0,CRJ UA,5209,ORD,3830,YUL,146,Y,0,CR7 E75 ERJ E70 CRJ UA,5209,ORD,3830,YVR,156,,0,319 320 739 73G 738 UA,5209,ORD,3830,YWG,160,Y,0,ERJ CRJ UA,5209,ORD,3830,YXE,166,Y,0,ERJ UA,5209,ORD,3830,YXU,174,Y,0,CRJ UA,5209,ORD,3830,YYC,178,,0,73G UA,5209,ORD,3830,YYZ,193,,0,320 73G 319 UA,5209,ORD,3830,ZRH,1678,Y,0,333 UA,5209,ORF,3611,EWR,3494,Y,0,DH3 DH4 DH2 UA,5209,ORF,3611,IAD,3714,Y,0,ER4 CRJ ERJ DH4 CR7 UA,5209,ORF,3611,IAH,3550,Y,0,ERJ UA,5209,ORF,3611,ORD,3830,Y,0,CR7 ERJ CRJ ER4 UA,5209,OSL,644,EWR,3494,,0,752 UA,5209,OTH,5757,SFO,3469,Y,0,CRJ UA,5209,OUA,246,ABJ,253,Y,0,333 UA,5209,OUA,246,BRU,302,Y,0,333 UA,5209,PAH,4117,ORD,3830,Y,0,CRJ UA,5209,PBC,1831,IAH,3550,Y,0,ERJ UA,5209,PBI,3722,CLE,3486,Y,0,ERJ UA,5209,PBI,3722,ELH,1943,Y,0,SF3 UA,5209,PBI,3722,EWR,3494,,0,73G 739 738 319 320 752 UA,5209,PBI,3722,IAH,3550,,0,320 UA,5209,PBI,3722,MHH,1930,Y,0,SF3 UA,5209,PBI,3722,TPA,3646,Y,0,SF3 UA,5209,PDX,3720,DEN,3751,,0,739 738 752 320 73G UA,5209,PDX,3720,EUG,4099,Y,0,EM2 UA,5209,PDX,3720,EWR,3494,,0,739 319 738 UA,5209,PDX,3720,IAD,3714,,0,752 320 UA,5209,PDX,3720,IAH,3550,,0,319 739 320 738 UA,5209,PDX,3720,LAX,3484,Y,0,CR7 CRJ UA,5209,PDX,3720,LMT,5750,Y,0,EM2 UA,5209,PDX,3720,ORD,3830,,0,320 319 752 738 739 UA,5209,PDX,3720,RDM,4103,Y,0,EM2 UA,5209,PDX,3720,SEA,3577,Y,0,EM2 UA,5209,PDX,3720,SFO,3469,,0,319 739 320 UA,5209,PDX,3720,YVR,156,Y,0,DH3 UA,5209,PDX,3720,YYC,178,Y,0,CRJ UA,5209,PEK,3364,EWR,3494,,0,777 UA,5209,PEK,3364,HNL,3728,Y,0,330 UA,5209,PEK,3364,IAD,3714,,0,777 UA,5209,PEK,3364,IAH,3550,Y,0,773 UA,5209,PEK,3364,JFK,3797,Y,0,773 UA,5209,PEK,3364,LAX,3484,Y,0,773 UA,5209,PEK,3364,ORD,3830,,0,777 UA,5209,PEK,3364,SFO,3469,,0,744 UA,5209,PGA,4124,DEN,3751,Y,0,BE1 UA,5209,PHC,275,LOS,273,Y,0,333 UA,5209,PHL,3752,DEN,3751,,0,738 319 739 752 320 UA,5209,PHL,3752,IAD,3714,Y,0,ER4 UA,5209,PHL,3752,IAH,3550,,0,320 73G 738 739 319 UA,5209,PHL,3752,ORD,3830,,0,320 738 739 752 73G 319 UA,5209,PHL,3752,SFO,3469,,0,739 738 319 752 UA,5209,PHL,3752,YYZ,193,Y,0,E75 UA,5209,PHX,3462,CLE,3486,,0,320 738 319 UA,5209,PHX,3462,DEN,3751,,0,738 752 739 320 UA,5209,PHX,3462,EWR,3494,,0,319 739 320 738 UA,5209,PHX,3462,IAD,3714,,0,320 738 UA,5209,PHX,3462,IAH,3550,,0,738 320 739 319 73G UA,5209,PHX,3462,LAX,3484,Y,0,CR7 CRJ UA,5209,PHX,3462,ORD,3830,,0,319 739 738 320 752 UA,5209,PHX,3462,SFO,3469,,0,320 UA,5209,PHX,3462,SOW,7078,Y,0,BE1 UA,5209,PIA,4046,DEN,3751,Y,0,CRJ UA,5209,PIA,4046,ORD,3830,Y,0,ER4 ERJ CRJ UA,5209,PIR,5761,DEN,3751,Y,0,BE1 UA,5209,PIR,5761,HON,3491,Y,0,BE1 UA,5209,PIT,3570,DEN,3751,,0,738 320 739 UA,5209,PIT,3570,EWR,3494,,0,DH4 UA,5209,PIT,3570,IAD,3714,Y,0,DH4 ERJ CR7 UA,5209,PIT,3570,IAH,3550,,0,319 320 738 73G UA,5209,PIT,3570,LAX,3484,,0,319 738 320 UA,5209,PIT,3570,ORD,3830,,0,738 320 319 73G UA,5209,PIT,3570,SFO,3469,,0,320 319 738 UA,5209,PIT,3570,YYZ,193,Y,0,DH1 UA,5209,PKB,4114,CLE,3486,Y,0,BE1 UA,5209,PLS,1754,EWR,3494,,0,739 738 UA,5209,PNI,2255,KSA,2257,,0,738 UA,5209,PNI,2255,KWA,2251,,0,738 UA,5209,PNI,2255,TKK,2254,,0,73G 738 UA,5209,PNS,3564,IAH,3550,Y,0,ERJ UA,5209,PNS,3564,MCO,3878,Y,0,SF3 UA,5209,PNS,3564,ORD,3830,Y,0,ERJ UA,5209,PNS,3564,TPA,3646,Y,0,SF3 UA,5209,POP,1761,EWR,3494,,0,739 UA,5209,POS,2902,EWR,3494,,0,738 UA,5209,POS,2902,IAH,3550,,0,738 UA,5209,PRG,1587,BRU,302,Y,0,DH4 UA,5209,PSC,6133,DEN,3751,Y,0,CRJ UA,5209,PSC,6133,SFO,3469,Y,0,CRJ UA,5209,PSP,3839,DEN,3751,,0,319 UA,5209,PSP,3839,IAH,3550,Y,0,CR7 UA,5209,PSP,3839,LAS,3877,Y,0,EM2 UA,5209,PSP,3839,LAX,3484,Y,0,EM2 CR7 UA,5209,PSP,3839,SFO,3469,Y,0,CRJ CR7 UA,5209,PTY,1871,BOS,3448,,0,73G UA,5209,PTY,1871,EWR,3494,,0,739 UA,5209,PTY,1871,IAD,3714,,0,73G UA,5209,PTY,1871,IAH,3550,,0,739 UA,5209,PTY,1871,JFK,3797,Y,0,738 UA,5209,PTY,1871,LAS,3877,Y,0,738 UA,5209,PTY,1871,LAX,3484,Y,0,738 UA,5209,PTY,1871,MCO,3878,,0,73G 738 UA,5209,PTY,1871,MIA,3576,,0,738 UA,5209,PTY,1871,ORD,3830,Y,0,738 UA,5209,PUB,3527,DEN,3751,Y,0,EM2 UA,5209,PUJ,1760,EWR,3494,,0,753 739 UA,5209,PUJ,1760,IAD,3714,,0,739 UA,5209,PUJ,1760,ORD,3830,,0,739 738 UA,5209,PVD,3641,EWR,3494,Y,0,DH3 DH2 ERJ UA,5209,PVD,3641,IAD,3714,Y,0,DH4 CR7 DH2 CRJ UA,5209,PVD,3641,ORD,3830,,0,320 UA,5209,PVG,3406,EWR,3494,,0,777 UA,5209,PVG,3406,LAX,3484,,0,788 UA,5209,PVG,3406,ORD,3830,,0,744 UA,5209,PVG,3406,SFO,3469,,0,744 UA,5209,PVR,1836,DEN,3751,,0,738 UA,5209,PVR,1836,EWR,3494,,0,738 UA,5209,PVR,1836,IAH,3550,,0,738 UA,5209,PVR,1836,LAX,3484,,0,738 UA,5209,PVR,1836,ORD,3830,,0,739 320 UA,5209,PVR,1836,SFO,3469,,0,320 UA,5209,QRO,1838,IAH,3550,Y,0,CR7 ERJ UA,5209,RAP,4087,DEN,3751,Y,0,ERJ DH4 CRJ UA,5209,RAP,4087,ORD,3830,Y,0,ERJ UA,5209,RDD,4098,SFO,3469,Y,0,EM2 UA,5209,RDM,4103,DEN,3751,Y,0,CRJ UA,5209,RDM,4103,PDX,3720,Y,0,EM2 UA,5209,RDM,4103,SFO,3469,Y,0,CRJ EM2 UA,5209,RDU,3626,EWR,3494,,0,DH4 UA,5209,RDU,3626,IAD,3714,,0,320 73G 738 UA,5209,RDU,3626,IAH,3550,,0,73G UA,5209,RDU,3626,ORD,3830,,0,738 UA,5209,RDU,3626,SFO,3469,,0,738 739 UA,5209,REP,3035,ICN,3930,Y,0,321 UA,5209,RIC,3608,CLE,3486,Y,0,ERJ ER4 UA,5209,RIC,3608,EWR,3494,Y,0,ERJ UA,5209,RIC,3608,IAD,3714,Y,0,ERJ ER4 CR7 UA,5209,RIC,3608,IAH,3550,Y,0,ERJ UA,5209,RIC,3608,ORD,3830,,0,319 UA,5209,RKS,5766,DEN,3751,Y,0,EM2 UA,5209,RNO,3807,DEN,3751,,0,320 UA,5209,RNO,3807,LAX,3484,Y,0,CR7 UA,5209,RNO,3807,SFO,3469,Y,0,CR7 CRJ UA,5209,ROA,4016,IAD,3714,Y,0,ER4 DH2 UA,5209,ROA,4016,ORD,3830,Y,0,ER4 ERJ UA,5209,ROB,1063,BRU,302,Y,0,333 UA,5209,ROC,3622,CLE,3486,Y,0,DH2 DH3 UA,5209,ROC,3622,EWR,3494,Y,0,DH2 ERJ DH3 UA,5209,ROC,3622,IAD,3714,Y,0,ER4 DH2 CR7 CRJ UA,5209,ROC,3622,ORD,3830,,0,320 738 319 UA,5209,ROP,2243,GUM,2246,Y,0,ATR UA,5209,ROP,2243,SPN,2244,Y,0,ATR UA,5209,ROR,2256,GUM,2246,,0,738 73G UA,5209,ROR,2256,MNL,2397,Y,0,738 UA,5209,ROR,2256,YAP,2258,,0,738 UA,5209,RSW,3793,CLE,3486,,0,319 738 320 UA,5209,RSW,3793,DEN,3751,,0,738 UA,5209,RSW,3793,EWR,3494,,0,320 738 739 UA,5209,RSW,3793,EYW,3875,Y,0,SF3 UA,5209,RSW,3793,IAH,3550,,0,738 UA,5209,RSW,3793,MCO,3878,Y,0,SF3 UA,5209,RSW,3793,ORD,3830,,0,320 UA,5209,RTB,1774,IAH,3550,,0,739 738 73G UA,5209,SAF,3784,DEN,3751,Y,0,ERJ UA,5209,SAL,1892,DFW,3670,Y,0,E90 UA,5209,SAL,1892,EWR,3494,,0,738 UA,5209,SAL,1892,IAH,3550,,0,738 UA,5209,SAL,1892,JFK,3797,Y,0,320 UA,5209,SAL,1892,LAX,3484,Y,0,320 321 UA,5209,SAL,1892,MIA,3576,Y,0,320 E90 UA,5209,SAL,1892,SFO,3469,Y,0,319 320 UA,5209,SAN,3731,DEN,3751,,0,738 320 739 752 UA,5209,SAN,3731,EWR,3494,,0,738 739 UA,5209,SAN,3731,IAD,3714,,0,739 752 320 738 UA,5209,SAN,3731,IAH,3550,,0,320 73G 738 739 UA,5209,SAN,3731,LAX,3484,Y,0,CR7 EM2 UA,5209,SAN,3731,ORD,3830,,0,739 320 738 UA,5209,SAN,3731,SFO,3469,,0,739 738 320 319 UA,5209,SAP,1772,EWR,3494,,0,738 UA,5209,SAP,1772,IAH,3550,,0,738 UA,5209,SAP,1772,MIA,3576,Y,0,320 E90 319 UA,5209,SAT,3621,DEN,3751,,0,738 73G UA,5209,SAT,3621,EWR,3494,,0,319 739 73G UA,5209,SAT,3621,IAD,3714,Y,0,E70 CR7 UA,5209,SAT,3621,IAH,3550,,0,319 739 738 73G 320 UA,5209,SAT,3621,LAX,3484,Y,0,CR7 UA,5209,SAT,3621,ORD,3830,Y,0,CR7 UA,5209,SAT,3621,SFO,3469,Y,0,CR7 UA,5209,SAV,3613,EWR,3494,Y,0,ERJ UA,5209,SAV,3613,IAD,3714,Y,0,CRJ ERJ CR7 UA,5209,SAV,3613,IAH,3550,Y,0,ERJ UA,5209,SAV,3613,ORD,3830,Y,0,ERJ CR7 CRJ UA,5209,SBA,3949,DEN,3751,Y,0,CRJ UA,5209,SBA,3949,LAX,3484,Y,0,EM2 UA,5209,SBA,3949,SFO,3469,Y,0,EM2 UA,5209,SBN,4359,ORD,3830,Y,0,CR7 ERJ CRJ E70 UA,5209,SBP,5768,LAX,3484,Y,0,EM2 UA,5209,SBP,5768,SFO,3469,Y,0,EM2 UA,5209,SCE,4318,IAD,3714,Y,0,DH2 UA,5209,SCE,4318,ORD,3830,Y,0,ERJ UA,5209,SDF,4014,CLE,3486,Y,0,ERJ CRJ UA,5209,SDF,4014,DEN,3751,Y,0,ERJ UA,5209,SDF,4014,EWR,3494,Y,0,ERJ E70 UA,5209,SDF,4014,IAD,3714,Y,0,ERJ UA,5209,SDF,4014,IAH,3550,Y,0,ERJ E70 CRJ UA,5209,SDF,4014,ORD,3830,Y,0,ERJ UA,5209,SDJ,2347,GUM,2246,,0,73G UA,5209,SDQ,1762,EWR,3494,,0,739 UA,5209,SEA,3577,ANC,3774,,0,739 738 UA,5209,SEA,3577,DEN,3751,,0,738 320 739 752 753 319 UA,5209,SEA,3577,EWR,3494,,0,739 319 738 320 UA,5209,SEA,3577,FRA,340,Y,0,333 343 UA,5209,SEA,3577,IAD,3714,,0,752 320 739 738 UA,5209,SEA,3577,IAH,3550,,0,739 320 738 319 752 UA,5209,SEA,3577,ICN,3930,Y,0,333 UA,5209,SEA,3577,LAX,3484,,0,739 320 UA,5209,SEA,3577,NRT,2279,Y,0,788 UA,5209,SEA,3577,ORD,3830,,0,738 320 739 752 319 UA,5209,SEA,3577,PDX,3720,Y,0,EM2 UA,5209,SEA,3577,SFO,3469,,0,319 739 320 738 752 UA,5209,SEA,3577,YVR,156,Y,0,DH3 UA,5209,SFO,3469,ABQ,4019,Y,0,CRJ UA,5209,SFO,3469,ACV,4384,Y,0,EM2 UA,5209,SFO,3469,AKL,2006,Y,0,772 744 UA,5209,SFO,3469,ATL,3682,,0,738 UA,5209,SFO,3469,AUS,3673,,0,738 320 319 UA,5209,SFO,3469,BFL,3558,Y,0,EM2 UA,5209,SFO,3469,BOI,3495,Y,0,CRJ CR7 UA,5209,SFO,3469,BOS,3448,,0,752 753 738 739 319 320 UA,5209,SFO,3469,BUR,3644,Y,0,CR7 CRJ UA,5209,SFO,3469,BWI,3849,,0,739 320 738 UA,5209,SFO,3469,CDG,1382,,0,763 UA,5209,SFO,3469,CEC,5727,Y,0,EM2 UA,5209,SFO,3469,CIC,3710,Y,0,EM2 UA,5209,SFO,3469,CLE,3486,,0,739 738 320 UA,5209,SFO,3469,COS,3819,Y,0,CRJ CR7 UA,5209,SFO,3469,CUN,1852,,0,739 UA,5209,SFO,3469,DCA,3520,,0,738 73G UA,5209,SFO,3469,DEN,3751,,0,752 739 738 320 319 UA,5209,SFO,3469,DFW,3670,,0,319 738 739 UA,5209,SFO,3469,EUG,4099,Y,0,CRJ CR7 UA,5209,SFO,3469,EWR,3494,,0,320 739 752 319 738 73G UA,5209,SFO,3469,FAT,3687,Y,0,EM2 UA,5209,SFO,3469,FLL,3533,,0,738 319 739 UA,5209,SFO,3469,FRA,340,,0,744 UA,5209,SFO,3469,GDL,1804,,0,319 738 UA,5209,SFO,3469,HKG,3077,,0,744 UA,5209,SFO,3469,HNL,3728,,0,777 764 738 753 739 UA,5209,SFO,3469,IAD,3714,,0,753 752 738 739 320 319 UA,5209,SFO,3469,IAH,3550,,0,319 739 753 738 320 752 788 73G UA,5209,SFO,3469,ICN,3930,,0,744 UA,5209,SFO,3469,IND,3585,,0,319 UA,5209,SFO,3469,JFK,3797,,0,757 UA,5209,SFO,3469,KIX,3992,,0,777 788 UA,5209,SFO,3469,KOA,3514,,0,753 739 738 UA,5209,SFO,3469,LAS,3877,,0,752 738 739 320 319 UA,5209,SFO,3469,LAX,3484,,0,319 320 752 738 753 739 UA,5209,SFO,3469,LHR,507,,0,777 UA,5209,SFO,3469,LIH,3602,,0,752 UA,5209,SFO,3469,LMT,5750,Y,0,EM2 UA,5209,SFO,3469,MCI,3458,Y,0,CR7 UA,5209,SFO,3469,MCO,3878,,0,752 738 739 753 UA,5209,SFO,3469,MEX,1824,,0,320 UA,5209,SFO,3469,MFR,4101,Y,0,EM2 CRJ UA,5209,SFO,3469,MOD,3816,Y,0,EM2 UA,5209,SFO,3469,MRY,3948,Y,0,EM2 UA,5209,SFO,3469,MSP,3858,,0,320 739 319 UA,5209,SFO,3469,MSY,3861,,0,320 738 UA,5209,SFO,3469,MUC,346,Y,0,346 UA,5209,SFO,3469,NRT,2279,,0,744 UA,5209,SFO,3469,OGG,3456,,0,753 738 UA,5209,SFO,3469,OKC,3863,Y,0,CR7 UA,5209,SFO,3469,ONT,3734,Y,0,CRJ UA,5209,SFO,3469,ORD,3830,,0,738 739 752 320 753 319 777 73G UA,5209,SFO,3469,OTH,5757,Y,0,CRJ UA,5209,SFO,3469,PDX,3720,,0,319 739 320 752 738 UA,5209,SFO,3469,PEK,3364,,0,744 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UA,5209,YYC,178,IAH,3550,,0,738 320 739 UA,5209,YYC,178,ORD,3830,,0,73G 738 320 UA,5209,YYC,178,PDX,3720,Y,0,CRJ UA,5209,YYC,178,SFO,3469,Y,0,CR7 UA,5209,YYJ,184,SFO,3469,Y,0,CRJ UA,5209,YYT,189,EWR,3494,,0,319 UA,5209,YYZ,193,ATL,3682,Y,0,CRA CRJ UA,5209,YYZ,193,BDL,3825,Y,0,BEH UA,5209,YYZ,193,BOS,3448,Y,0,E90 E75 UA,5209,YYZ,193,CLE,3486,Y,0,DH2 DH3 UA,5209,YYZ,193,CMH,3759,Y,0,DH1 UA,5209,YYZ,193,DEN,3751,Y,0,E90 CR7 UA,5209,YYZ,193,DFW,3670,Y,0,E75 UA,5209,YYZ,193,DTW,3645,Y,0,BEH CRJ UA,5209,YYZ,193,EWR,3494,Y,0,E75 ERJ DH4 CRA E90 UA,5209,YYZ,193,IAD,3714,Y,0,CRJ ERJ CR7 DH4 UA,5209,YYZ,193,IAH,3550,Y,0,CR7 CRA ERJ UA,5209,YYZ,193,LAX,3484,Y,0,321 320 UA,5209,YYZ,193,LGA,3697,Y,0,E90 CRA E75 UA,5209,YYZ,193,MSP,3858,Y,0,CRA CRJ UA,5209,YYZ,193,MSY,3861,Y,0,CRA UA,5209,YYZ,193,ORD,3830,,0,320 73G 319 UA,5209,YYZ,193,PHL,3752,Y,0,E75 UA,5209,YYZ,193,PIT,3570,Y,0,DH1 UA,5209,YYZ,193,SFO,3469,Y,0,320 UA,5209,YYZ,193,STL,3678,Y,0,CRJ UA,5209,YYZ,193,YUL,146,Y,0,333 UA,5209,ZIH,1856,IAH,3550,Y,0,ERJ UA,5209,ZLO,1858,IAH,3550,Y,0,ERJ UA,5209,ZRH,1678,BOS,3448,Y,0,333 UA,5209,ZRH,1678,EWR,3494,,0,764 UA,5209,ZRH,1678,IAD,3714,,0,763 764 UA,5209,ZRH,1678,JFK,3797,Y,0,333 UA,5209,ZRH,1678,LAX,3484,Y,0,343 UA,5209,ZRH,1678,MIA,3576,Y,0,333 UA,5209,ZRH,1678,NBO,4059,Y,0,333 UA,5209,ZRH,1678,ORD,3830,Y,0,333 UA,5209,ZRH,1678,SFO,3469,Y,0,343 UD,2757,LPY,1313,ORY,1386,,0,BEH UD,2757,ORY,1386,LPY,1313,,0,BEH UE,3589,ADE,3977,ASM,3967,,0,320 UE,3589,ADE,3977,DXB,2188,,0,320 UE,3589,ASM,3967,ADE,3977,,0,320 UE,3589,ASM,3967,JED,2072,,0,320 UE,3589,ASM,3967,JUB,1173,,0,320 UE,3589,ASM,3967,KRT,1175,,0,733 UE,3589,ASM,3967,NBO,4059,,0,320 UE,3589,DXB,2188,ADE,3977,,0,320 UE,3589,EBB,1187,ASM,3967,,0,320 UE,3589,JED,2072,ASM,3967,,0,320 UE,3589,JUB,1173,EBB,1187,,0,320 UE,3589,JUB,1173,KRT,1175,,0,733 UE,3589,KRT,1175,ASM,3967,,0,733 UE,3589,KRT,1175,JUB,1173,,0,733 UE,3589,MSW,3968,ASM,3967,,0,733 UE,3589,NBO,4059,ASM,3967,,0,320 UG,5085,BEN,1154,SFA,295,,0,CR9 UG,5085,DJE,293,TUN,287,,0,AT7 UG,5085,GAE,291,TOE,296,,0,AT7 UG,5085,GAE,291,TUN,287,,0,ATR UG,5085,GAF,290,GAE,291,,0,ATR UG,5085,GAF,290,TOE,296,,0,AT7 UG,5085,MIR,286,TIP,1157,,0,CR9 UG,5085,MIR,286,TUN,287,,0,CR9 UG,5085,MLA,1606,TUN,287,,0,AT7 UG,5085,NAP,1561,TUN,287,,0,AT7 UG,5085,SFA,295,BEN,1154,,0,CR9 UG,5085,SFA,295,TIP,1157,,0,CR9 UG,5085,SFA,295,TUN,287,,0,CR9 UG,5085,TIP,1157,MIR,286,,0,CR9 UG,5085,TIP,1157,SFA,295,,0,CR9 UG,5085,TOE,296,TUN,287,,0,AT7 UG,5085,TUN,287,DJE,293,,0,AT7 UG,5085,TUN,287,GAE,291,,0,AT7 UG,5085,TUN,287,GAF,290,,0,AT7 ATR UG,5085,TUN,287,MIR,286,,0,CR9 UG,5085,TUN,287,MLA,1606,,0,AT7 UG,5085,TUN,287,NAP,1561,,0,AT7 UG,5085,TUN,287,SFA,295,,0,CR9 UG,5085,TUN,287,TOE,296,,0,AT7 UJ,11811,AHB,2059,CAI,1128,,0,320 UJ,11811,CAI,1128,AHB,2059,,0,320 UJ,11811,CAI,1128,ELQ,2067,,0,320 UJ,11811,CAI,1128,TIF,2090,,0,320 UJ,11811,CAI,1128,TUU,2089,,0,320 UJ,11811,CAI,1128,YNB,2096,,0,320 UJ,11811,DOK,2940,IST,1701,,0,320 UJ,11811,DOK,2940,KBP,2939,,0,320 UJ,11811,ELQ,2067,CAI,1128,,0,320 UJ,11811,GYD,2922,KBP,2939,,0,320 UJ,11811,HBE,3410,JED,2072,,0,321 UJ,11811,IST,1701,DOK,2940,,0,320 UJ,11811,IST,1701,KBP,2939,,0,320 UJ,11811,IST,1701,ODS,2947,,0,320 UJ,11811,JED,2072,HBE,3410,,0,321 UJ,11811,KBP,2939,AYT,1688,,0,320 UJ,11811,KBP,2939,DOK,2940,,0,320 UJ,11811,KBP,2939,GYD,2922,,0,320 UJ,11811,KBP,2939,IST,1701,,0,320 UJ,11811,KBP,2939,LED,2948,,0,320 UJ,11811,KBP,2939,ODS,2947,,0,320 UJ,11811,KBP,2939,SIP,2942,,0,320 UJ,11811,KBP,2939,SVO,2985,,0,320 UJ,11811,LED,2948,KBP,2939,,0,320 UJ,11811,ODS,2947,KBP,2939,,0,320 UJ,11811,ODS,2947,SVO,2985,,0,320 UJ,11811,SIP,2942,KBP,2939,,0,320 UJ,11811,SVO,2985,KBP,2939,,0,320 UJ,11811,SVO,2985,ODS,2947,,0,320 UJ,11811,TIF,2090,CAI,1128,,0,320 UJ,11811,TUU,2089,CAI,1128,,0,320 UJ,11811,YNB,2096,CAI,1128,,0,320 UL,4349,AMM,2170,AUH,2179,,0,320 UL,4349,AUH,2179,AMM,2170,,0,320 UL,4349,AUH,2179,CMB,3024,,0,320 UL,4349,BAH,2057,CMB,3024,Y,0,321 UL,4349,BKK,3885,CAN,3370,,0,332 UL,4349,BKK,3885,CMB,3024,,0,321 332 UL,4349,BKK,3885,HKG,3077,,0,332 UL,4349,BLR,3131,CMB,3024,,0,320 UL,4349,BOM,2997,CMB,3024,,0,320 UL,4349,BTC,\N,GIU,9229,,0,CNC UL,4349,CAN,3370,BKK,3885,,0,332 UL,4349,CDG,1382,CMB,3024,,0,332 UL,4349,CGK,3275,CMB,3024,Y,0,321 UL,4349,CMB,3024,AUH,2179,,0,320 UL,4349,CMB,3024,BAH,2057,Y,0,321 UL,4349,CMB,3024,BKK,3885,,0,321 332 UL,4349,CMB,3024,BLR,3131,,0,320 UL,4349,CMB,3024,BOM,2997,,0,320 UL,4349,CMB,3024,CDG,1382,,0,332 UL,4349,CMB,3024,CGK,3275,Y,0,321 320 UL,4349,CMB,3024,COK,3136,,0,320 321 UL,4349,CMB,3024,DAC,3076,Y,0,321 UL,4349,CMB,3024,DEL,3093,,0,320 UL,4349,CMB,3024,DME,4029,,0,332 UL,4349,CMB,3024,DMM,2064,,0,343 UL,4349,CMB,3024,DOH,11051,,0,332 343 UL,4349,CMB,3024,DXB,2188,,0,332 320 321 UL,4349,CMB,3024,FCO,1555,,0,332 343 UL,4349,CMB,3024,FRA,340,,0,332 UL,4349,CMB,3024,GIU,9229,,0,CNC UL,4349,CMB,3024,HRI,8949,,0,332 320 343 UL,4349,CMB,3024,IXM,3142,Y,0,320 UL,4349,CMB,3024,JED,2072,,0,343 UL,4349,CMB,3024,KCT,6169,,0,CNC UL,4349,CMB,3024,KHI,2206,,0,320 UL,4349,CMB,3024,KUL,3304,,0,320 321 UL,4349,CMB,3024,KWI,2176,,0,343 332 UL,4349,CMB,3024,LHR,507,,0,332 UL,4349,CMB,3024,MAA,3144,,0,332 320 343 UL,4349,CMB,3024,MCT,2194,,0,321 320 UL,4349,CMB,3024,MLE,3156,,0,320 332 343 UL,4349,CMB,3024,NRT,2279,,0,332 343 UL,4349,CMB,3024,PEK,3364,,0,332 UL,4349,CMB,3024,PVG,3406,,0,332 UL,4349,CMB,3024,RUH,2082,,0,343 332 UL,4349,CMB,3024,SEZ,994,Y,0,320 UL,4349,CMB,3024,SHJ,2191,,0,320 UL,4349,CMB,3024,SIN,3316,,0,320 321 UL,4349,CMB,3024,TRV,3153,,0,320 UL,4349,CMB,3024,TRZ,3152,,0,320 UL,4349,COK,3136,CMB,3024,,0,320 321 UL,4349,DAC,3076,CMB,3024,Y,0,321 UL,4349,DEL,3093,CMB,3024,,0,320 UL,4349,DIW,7562,KCT,6169,,0,CNC UL,4349,DME,4029,CMB,3024,,0,332 UL,4349,DMM,2064,CMB,3024,,0,343 UL,4349,DOH,11051,CMB,3024,,0,332 343 UL,4349,DXB,2188,CMB,3024,,0,332 320 321 UL,4349,FCO,1555,CMB,3024,,0,332 343 UL,4349,FRA,340,CMB,3024,,0,332 UL,4349,GIU,9229,BTC,\N,,0,CNC UL,4349,GIU,9229,CMB,3024,,0,CNC UL,4349,GIU,9229,TRR,3030,,0,CNC UL,4349,HKG,3077,BKK,3885,,0,332 UL,4349,HRI,8949,CMB,3024,,0,320 343 UL,4349,HRI,8949,JED,2072,,0,343 UL,4349,HRI,8949,PEK,3364,,0,332 UL,4349,HRI,8949,PVG,3406,,0,332 343 UL,4349,IXM,3142,CMB,3024,Y,0,320 UL,4349,JED,2072,CMB,3024,,0,343 UL,4349,KCT,6169,CMB,3024,,0,CNC UL,4349,KCT,6169,DIW,7562,,0,CNC UL,4349,KHI,2206,CMB,3024,,0,320 UL,4349,KUL,3304,CMB,3024,,0,320 321 UL,4349,KWI,2176,CMB,3024,,0,343 332 UL,4349,LHR,507,CMB,3024,,0,332 UL,4349,MAA,3144,CMB,3024,,0,332 320 343 UL,4349,MAA,3144,HRI,8949,,0,320 343 UL,4349,MCT,2194,CMB,3024,,0,321 320 UL,4349,MCT,2194,ZRH,1678,,0,332 UL,4349,MLE,3156,CMB,3024,,0,320 332 343 UL,4349,MLE,3156,HRI,8949,,0,320 UL,4349,NRT,2279,CMB,3024,,0,343 332 UL,4349,PEK,3364,CMB,3024,,0,332 UL,4349,PVG,3406,CMB,3024,,0,332 343 UL,4349,RUH,2082,CMB,3024,,0,343 332 UL,4349,SEZ,994,CMB,3024,Y,0,320 UL,4349,SHJ,2191,CMB,3024,,0,320 UL,4349,SIN,3316,CMB,3024,,0,320 321 UL,4349,TRR,3030,GIU,9229,,0,CNC UL,4349,TRV,3153,CMB,3024,,0,320 UL,4349,TRZ,3152,CMB,3024,,0,320 UL,4349,ZRH,1678,MCT,2194,,0,332 UM,608,BUQ,1001,HRE,1005,,0,732 UM,608,BUQ,1001,JNB,813,,0,762 UM,608,BUQ,1001,VFA,1004,,0,732 UM,608,HRE,1005,BUQ,1001,,0,732 UM,608,HRE,1005,JNB,813,,0,762 UM,608,HRE,1005,VFA,1004,,0,732 UM,608,JNB,813,BUQ,1001,,0,762 UM,608,JNB,813,HRE,1005,,0,762 UM,608,JNB,813,VFA,1004,,0,732 UM,608,VFA,1004,BUQ,1001,,0,732 UM,608,VFA,1004,HRE,1005,,0,732 UM,608,VFA,1004,JNB,813,,0,732 UN,5067,ABZ,532,LHR,507,,0,333 UN,5067,AER,2965,DME,4029,,0,734 735 UN,5067,AER,2965,VKO,2988,,0,73G UN,5067,AGP,1230,VKO,2988,,0,738 UN,5067,ALA,2908,DME,4029,,0,735 UN,5067,ALA,2908,VKO,2988,,0,73H UN,5067,ALC,1212,DME,4029,,0,734 UN,5067,AYT,1688,VKO,2988,,0,74E UN,5067,BCN,1218,DME,4029,,0,763 734 772 744 UN,5067,BHK,2980,DME,4029,,0,T20 UN,5067,BKK,3885,DME,4029,,0,772 744 UN,5067,BKK,3885,KJA,4374,,0,763 UN,5067,BKK,3885,SVX,2975,,0,763 UN,5067,BKK,3885,TPE,2276,,0,333 UN,5067,BOS,3448,LHR,507,Y,0,333 UN,5067,BQS,2926,DME,4029,,0,762 UN,5067,CIT,2914,VKO,2988,,0,738 73G UN,5067,CUN,1852,VKO,2988,,0,74E UN,5067,DLM,1715,DME,4029,,0,734 UN,5067,DLM,1715,VKO,2988,,0,74E UN,5067,DME,4029,AER,2965,,0,734 735 UN,5067,DME,4029,ALA,2908,,0,735 UN,5067,DME,4029,ALC,1212,,0,734 UN,5067,DME,4029,BCN,1218,,0,763 734 772 744 UN,5067,DME,4029,BHK,2980,,0,T20 UN,5067,DME,4029,BKK,3885,,0,772 744 UN,5067,DME,4029,BQS,2926,,0,762 UN,5067,DME,4029,DLM,1715,,0,734 UN,5067,DME,4029,DNK,2941,,0,735 UN,5067,DME,4029,DOK,2940,,0,735 UN,5067,DME,4029,DWC,8076,,0,773 UN,5067,DME,4029,DYR,6098,,0,772 UN,5067,DME,4029,FCO,1555,,0,735 UN,5067,DME,4029,GDX,2930,,0,763 UN,5067,DME,4029,GOI,3007,,0,773 UN,5067,DME,4029,HER,1452,,0,734 772 UN,5067,DME,4029,HKG,3077,,0,763 UN,5067,DME,4029,HKT,3179,,0,744 UN,5067,DME,4029,HMA,6138,,0,735 UN,5067,DME,4029,HRG,1130,,0,T20 744 UN,5067,DME,4029,IAH,3550,Y,0,77W UN,5067,DME,4029,IEV,2944,,0,735 UN,5067,DME,4029,KEJ,2957,,0,735 UN,5067,DME,4029,KGD,2952,,0,735 UN,5067,DME,4029,KGF,4375,,0,735 UN,5067,DME,4029,KHV,2927,,0,773 UN,5067,DME,4029,KOV,6083,,0,735 UN,5067,DME,4029,KRR,2960,,0,735 UN,5067,DME,4029,KUF,2993,,0,735 UN,5067,DME,4029,KZN,2990,,0,735 UN,5067,DME,4029,LED,2948,,0,735 UN,5067,DME,4029,LGW,502,,0,320 UN,5067,DME,4029,MRV,2962,,0,735 UN,5067,DME,4029,MSQ,2954,Y,0,735 UN,5067,DME,4029,MXP,1524,,0,735 UN,5067,DME,4029,NBE,7447,,0,744 UN,5067,DME,4029,NUX,4364,,0,734 735 UN,5067,DME,4029,OMS,2958,,0,735 734 UN,5067,DME,4029,OVB,4078,,0,735 734 763 UN,5067,DME,4029,PED,1584,,0,735 UN,5067,DME,4029,PEE,2973,,0,735 UN,5067,DME,4029,PFO,1198,,0,763 744 UN,5067,DME,4029,PKC,2932,,0,773 UN,5067,DME,4029,PUJ,1760,,0,772 UN,5067,DME,4029,RHO,1472,,0,734 763 UN,5067,DME,4029,RIX,3953,,0,DH4 UN,5067,DME,4029,RMI,1546,,0,763 UN,5067,DME,4029,ROV,2964,,0,735 UN,5067,DME,4029,SGN,3205,,0,763 UN,5067,DME,4029,SIN,3316,Y,0,77W UN,5067,DME,4029,SIP,2942,,0,735 UN,5067,DME,4029,SSH,4057,,0,772 UN,5067,DME,4029,STW,2963,,0,735 UN,5067,DME,4029,SVX,2975,,0,735 UN,5067,DME,4029,SYX,4030,,0,773 UN,5067,DME,4029,TFS,1056,,0,772 763 UN,5067,DME,4029,TLV,1590,,0,735 734 UN,5067,DME,4029,TOF,4297,,0,735 UN,5067,DME,4029,TSE,2910,,0,735 UN,5067,DME,4029,TXL,351,,0,735 UN,5067,DME,4029,UFA,2992,,0,735 UN,5067,DME,4029,UUS,2933,,0,772 UN,5067,DME,4029,VIE,1613,Y,0,32S UN,5067,DME,4029,VNO,3959,,0,735 UN,5067,DME,4029,VRA,1923,,0,763 UN,5067,DME,4029,VVO,2934,,0,773 UN,5067,DME,4029,YKS,2923,,0,T20 763 UN,5067,DNK,2941,DME,4029,,0,735 UN,5067,DOK,2940,DME,4029,,0,735 UN,5067,DWC,8076,DME,4029,,0,773 UN,5067,DWC,8076,KUF,2993,,0,738 UN,5067,DWC,8076,LED,2948,,0,738 UN,5067,DWC,8076,OMS,2958,,0,738 UN,5067,DWC,8076,OVB,4078,,0,738 UN,5067,DWC,8076,SVX,2975,,0,738 UN,5067,DWC,8076,TJM,4111,,0,738 UN,5067,DWC,8076,VKO,2988,,0,777 763 UN,5067,DYR,6098,DME,4029,,0,772 UN,5067,EDI,535,LHR,507,,0,333 UN,5067,EVN,3964,VKO,2988,,0,73H UN,5067,FCO,1555,DME,4029,,0,735 UN,5067,FCO,1555,LED,2948,,0,735 UN,5067,FCO,1555,VKO,2988,,0,738 763 UN,5067,FRA,340,VKO,2988,,0,738 73G UN,5067,GDX,2930,DME,4029,,0,763 UN,5067,GOI,3007,DME,4029,,0,773 UN,5067,GUW,4357,VKO,2988,,0,73G UN,5067,HER,1452,DME,4029,,0,734 772 UN,5067,HER,1452,VKO,2988,,0,738 777 UN,5067,HKG,3077,DME,4029,,0,763 UN,5067,HKT,3179,DME,4029,,0,744 UN,5067,HKT,3179,LED,2948,,0,763 UN,5067,HKT,3179,OVB,4078,,0,763 UN,5067,HKT,3179,SVX,2975,,0,763 UN,5067,HKT,3179,VKO,2988,,0,74E UN,5067,HMA,6138,DME,4029,,0,735 UN,5067,HRG,1130,DME,4029,,0,T20 744 UN,5067,HRG,1130,OVB,4078,,0,763 UN,5067,HRG,1130,SVO,2985,,0,744 UN,5067,HRG,1130,SVX,2975,,0,738 UN,5067,HRG,1130,VKO,2988,,0,738 UN,5067,IAH,3550,DME,4029,Y,0,77W UN,5067,IEV,2944,DME,4029,,0,735 UN,5067,IEV,2944,VKO,2988,,0,73G UN,5067,IKT,2937,VKO,2988,,0,738 UN,5067,IST,1701,VKO,2988,,0,738 73G UN,5067,JFK,3797,VKO,2988,,0,777 UN,5067,JNB,813,LHR,507,,0,346 UN,5067,KEJ,2957,DME,4029,,0,735 UN,5067,KGD,2952,DME,4029,,0,735 UN,5067,KGF,4375,DME,4029,,0,735 UN,5067,KHV,2927,DME,4029,,0,773 UN,5067,KJA,4374,VKO,2988,,0,738 UN,5067,KOV,6083,DME,4029,,0,735 UN,5067,KRR,2960,DME,4029,,0,735 UN,5067,KRR,2960,VKO,2988,,0,73G UN,5067,KSN,6088,VKO,2988,,0,73G UN,5067,KUF,2993,DME,4029,,0,735 UN,5067,KUF,2993,DWC,8076,,0,738 UN,5067,KUF,2993,VKO,2988,,0,738 UN,5067,KZN,2990,DME,4029,,0,735 UN,5067,LAX,3484,LHR,507,Y,0,346 UN,5067,LAX,3484,VKO,2988,,0,777 UN,5067,LCA,1197,LED,2948,,0,733 744 763 UN,5067,LED,2948,DME,4029,,0,735 UN,5067,LED,2948,FCO,1555,,0,735 UN,5067,LED,2948,LCA,1197,,0,733 744 763 UN,5067,LED,2948,MSQ,2954,Y,0,735 UN,5067,LED,2948,MXP,1524,,0,735 UN,5067,LED,2948,NBE,7447,,0,763 UN,5067,LED,2948,PED,1584,,0,733 UN,5067,LED,2948,PUJ,1760,,0,763 UN,5067,LED,2948,RHO,1472,,0,733 744 UN,5067,LED,2948,VKO,2988,,0,73G 738 UN,5067,LGW,502,DME,4029,,0,320 UN,5067,LGW,502,MCO,3878,Y,0,744 UN,5067,LHR,507,ABZ,532,,0,333 UN,5067,LHR,507,BOS,3448,Y,0,333 UN,5067,LHR,507,EDI,535,,0,333 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UP,1403,FPO,1948,CMH,3759,,0,734 UP,1403,FPO,1948,EWR,3494,,0,734 UP,1403,FPO,1948,FLL,3533,,0,DH8 UP,1403,FPO,1948,NAS,1953,,0,DH8 UP,1403,FPO,1948,RIC,3608,,0,734 UP,1403,GGT,1941,NAS,1953,,0,DH8 UP,1403,GHB,1944,NAS,1953,,0,DH8 UP,1403,HAV,1909,NAS,1953,,0,737 UP,1403,IGA,1949,MYG,1952,,0,DH8 UP,1403,IGA,1949,NAS,1953,,0,DH8 UP,1403,LGI,1950,NAS,1953,,0,DH8 UP,1403,MCO,3878,NAS,1953,,0,737 DH8 UP,1403,MHH,1930,NAS,1953,,0,DH8 UP,1403,MHH,1930,PBI,3722,,0,DH8 UP,1403,MIA,3576,NAS,1953,,0,737 UP,1403,MIA,3576,SKB,2891,,0,737 UP,1403,MYG,1952,IGA,1949,,0,DH8 UP,1403,MYG,1952,NAS,1953,,0,DH8 UP,1403,NAS,1953,AXP,1932,,0,DH8 UP,1403,NAS,1953,CRI,5859,,0,DH8 UP,1403,NAS,1953,ELH,1943,,0,DH8 UP,1403,NAS,1953,FLL,3533,,0,737 DH8 UP,1403,NAS,1953,FPO,1948,,0,DH8 UP,1403,NAS,1953,GGT,1941,,0,DH8 UP,1403,NAS,1953,GHB,1944,,0,DH8 UP,1403,NAS,1953,HAV,1909,,0,737 UP,1403,NAS,1953,IGA,1949,,0,DH8 UP,1403,NAS,1953,LGI,1950,,0,DH8 UP,1403,NAS,1953,MCO,3878,,0,737 DH8 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UR,15814,SGC,2974,UFA,2992,,0,AT7 UR,15814,SVX,2975,EYK,8428,,0,AT7 UR,15814,SVX,2975,GOJ,4274,,0,AT7 UR,15814,SVX,2975,HMA,6138,,0,AT7 UR,15814,SVX,2975,KUF,2993,,0,AT7 UR,15814,SVX,2975,NJC,2972,,0,AT7 UR,15814,SVX,2975,SGC,2974,,0,AT7 UR,15814,TBW,6466,VKO,2988,,0,AT7 UR,15814,TJM,4111,HMA,6138,,0,AT7 UR,15814,TJM,4111,NJC,2972,,0,AT7 UR,15814,TJM,4111,NYA,6139,,0,AT7 UR,15814,TJM,4111,OVS,6140,,0,AT7 UR,15814,TJM,4111,SGC,2974,,0,AT7 UR,15814,TJM,4111,UFA,2992,,0,AT7 UR,15814,TJM,4111,URJ,4377,,0,AT7 UR,15814,UCT,4368,SCW,2989,,0,AN4 UR,15814,UCT,4368,USK,4369,,0,AN4 UR,15814,UFA,2992,KZN,2990,,0,AT7 UR,15814,UFA,2992,SGC,2974,,0,AT7 UR,15814,UFA,2992,TJM,4111,,0,AT7 UR,15814,URJ,4377,HMA,6138,,0,AT7 UR,15814,URJ,4377,TJM,4111,,0,AT7 UR,15814,URS,6157,VKO,2988,,0,AT7 UR,15814,USK,4369,UCT,4368,,0,AN4 UR,15814,UTS,\N,SCW,2989,,0,AN4 UR,15814,VKO,2988,GOJ,4274,,0,AT7 UR,15814,VKO,2988,KVX,6142,,0,AT7 UR,15814,VKO,2988,TBW,6466,,0,AT7 UR,15814,VKO,2988,URS,6157,,0,AT7 UR,15814,VKO,2988,VNO,3959,,0,AT7 UR,15814,VKO,2988,VOZ,2987,,0,AT7 UR,15814,VKT,6159,SCW,2989,,0,AN4 UR,15814,VNO,3959,VKO,2988,,0,AT7 UR,15814,VOZ,2987,VKO,2988,,0,AT7 US,5265,ABE,4355,CLT,3876,Y,0,CR9 CR7 CRJ US,5265,ABE,4355,PHL,3752,Y,0,CRJ DH8 US,5265,ABI,3718,DFW,3670,,0,ERD ER4 US,5265,ABQ,4019,DFW,3670,,0,M83 M80 US,5265,ABQ,4019,LAX,3484,Y,0,CR7 CRJ US,5265,ABQ,4019,ORD,3830,,0,E75 US,5265,ABQ,4019,PHX,3462,Y,0,CRJ CR9 US,5265,ACT,3700,DFW,3670,,0,ER4 US,5265,ADL,3341,AKL,2006,Y,0,320 US,5265,AEX,3852,DFW,3670,Y,0,ER4 CRJ ERD US,5265,AGS,3658,CLT,3876,Y,0,DH3 CRJ US,5265,AGS,3658,DCA,3520,Y,0,CRJ US,5265,AGU,1785,DFW,3670,Y,0,ER4 US,5265,ALB,3864,CLT,3876,,0,319 US,5265,ALB,3864,DCA,3520,,0,CRJ US,5265,ALB,3864,PHL,3752,Y,0,CRJ E75 DH8 E70 US,5265,ALO,5718,ORD,3830,,0,ERD US,5265,AMA,3840,DFW,3670,,0,ER4 US,5265,AMM,2170,JFK,3797,,0,340 330 US,5265,AMM,2170,ORD,3830,,0,340 US,5265,AMM,2170,YUL,146,,0,330 US,5265,AMS,580,LIS,1638,Y,0,320 319 US,5265,AMS,580,PHL,3752,,0,752 US,5265,ANC,3774,PHX,3462,,0,319 320 US,5265,ANU,2874,CLT,3876,,0,319 US,5265,ANU,2874,JFK,3797,,0,738 US,5265,ANU,2874,MIA,3576,,0,738 US,5265,APW,1969,AKL,2006,Y,0,320 763 US,5265,ART,3838,ORD,3830,,0,ERD US,5265,ART,3838,PHL,3752,Y,0,CRJ US,5265,ASU,2699,MIA,3576,,0,757 US,5265,ATH,3941,PHL,3752,,0,332 US,5265,ATL,3682,CLT,3876,,0,319 320 321 US,5265,ATL,3682,DFW,3670,Y,0,M80 319 M83 US,5265,ATL,3682,MIA,3576,Y,0,738 ERD ER4 US,5265,ATL,3682,ORD,3830,Y,0,CR7 E75 US,5265,ATL,3682,PHL,3752,,0,E90 319 US,5265,ATL,3682,PHX,3462,,0,320 321 US,5265,AUA,2895,CLT,3876,,0,752 319 320 US,5265,AUA,2895,MIA,3576,,0,738 US,5265,AUA,2895,PHL,3752,,0,320 US,5265,AUS,3673,CLT,3876,Y,0,CR9 US,5265,AUS,3673,DFW,3670,,0,M80 738 M83 US,5265,AUS,3673,JFK,3797,,0,738 US,5265,AUS,3673,LAX,3484,,0,738 M83 US,5265,AUS,3673,ORD,3830,,0,M83 M80 US,5265,AUS,3673,PHL,3752,,0,319 E90 US,5265,AUS,3673,PHX,3462,,0,319 US,5265,AVL,4007,CLT,3876,,0,CR7 US,5265,AVP,4286,CLT,3876,,0,CRJ US,5265,AVP,4286,PHL,3752,Y,0,CRJ DH8 US,5265,AZO,4039,ORD,3830,Y,0,ER4 ERD US,5265,BAQ,2710,MIA,3576,,0,318 320 US,5265,BCN,1218,JFK,3797,,0,763 US,5265,BCN,1218,MIA,3576,,0,763 US,5265,BCN,1218,PHL,3752,,0,332 US,5265,BDA,4069,JFK,3797,,0,738 US,5265,BDA,4069,MIA,3576,,0,738 US,5265,BDA,4069,PHL,3752,,0,319 US,5265,BDL,3825,CLT,3876,,0,320 321 319 US,5265,BDL,3825,DCA,3520,,0,CRJ US,5265,BDL,3825,DFW,3670,,0,738 US,5265,BDL,3825,LAX,3484,,0,738 US,5265,BDL,3825,MIA,3576,,0,738 US,5265,BDL,3825,ORD,3830,,0,ER4 E75 US,5265,BDL,3825,PHL,3752,,0,319 E90 US,5265,BDL,3825,PIT,3570,Y,0,ERJ US,5265,BFL,3558,PHX,3462,Y,0,CRJ CR9 US,5265,BGI,2875,MIA,3576,,0,757 US,5265,BGM,4129,PHL,3752,Y,0,DH8 US,5265,BGR,3463,DCA,3520,Y,0,CRJ E70 US,5265,BGR,3463,PHL,3752,Y,0,E75 CRJ US,5265,BHM,3811,CLT,3876,,0,CRJ CR7 US,5265,BHM,3811,DCA,3520,,0,CRJ US,5265,BHM,3811,DFW,3670,,0,M80 M83 US,5265,BHM,3811,MIA,3576,,0,ER4 US,5265,BHM,3811,PHL,3752,,0,CRJ US,5265,BIO,1216,LIS,1638,Y,0,ER4 100 US,5265,BJX,1815,DFW,3670,,0,319 US,5265,BMI,4037,DFW,3670,Y,0,ER4 US,5265,BMI,4037,ORD,3830,Y,0,ER4 ERD US,5265,BNA,3690,CLT,3876,,0,319 CR7 US,5265,BNA,3690,DCA,3520,,0,ERD CRJ US,5265,BNA,3690,DFW,3670,,0,M80 738 M83 US,5265,BNA,3690,JFK,3797,Y,0,ER4 US,5265,BNA,3690,LAX,3484,,0,738 US,5265,BNA,3690,LGA,3697,,0,CR7 US,5265,BNA,3690,MIA,3576,,0,738 ER4 US,5265,BNA,3690,ORD,3830,,0,ER4 CR7 US,5265,BNA,3690,PHL,3752,,0,CRJ US,5265,BNE,3320,AKL,2006,Y,0,773 772 US,5265,BOG,2709,DFW,3670,,0,319 US,5265,BOG,2709,FLL,3533,,0,320 US,5265,BOG,2709,JFK,3797,,0,330 US,5265,BOG,2709,MCO,3878,,0,319 US,5265,BOG,2709,MIA,3576,,0,757 330 763 US,5265,BOI,3495,PHX,3462,,0,319 US,5265,BOS,3448,BUF,3820,Y,0,CRJ US,5265,BOS,3448,CLT,3876,,0,319 321 320 E90 US,5265,BOS,3448,CUN,1852,,0,319 US,5265,BOS,3448,DCA,3520,,0,319 E90 US,5265,BOS,3448,DFW,3670,,0,738 757 US,5265,BOS,3448,JFK,3797,,0,738 US,5265,BOS,3448,LAX,3484,,0,738 757 US,5265,BOS,3448,LGA,3697,,0,E90 319 US,5265,BOS,3448,MDT,3542,Y,0,DH8 US,5265,BOS,3448,MIA,3576,,0,757 738 US,5265,BOS,3448,ORD,3830,,0,738 US,5265,BOS,3448,PHL,3752,,0,E90 319 321 320 US,5265,BOS,3448,PHX,3462,,0,320 319 321 US,5265,BOS,3448,PIT,3570,Y,0,E70 CRJ US,5265,BOS,3448,RIC,3608,Y,0,CRJ US,5265,BOS,3448,ROC,3622,Y,0,CRJ US,5265,BOS,3448,SYR,3745,Y,0,DH8 US,5265,BPT,3612,DFW,3670,,0,ERD US,5265,BRO,3738,DFW,3670,Y,0,CRJ ER4 US,5265,BRU,302,ATH,3941,Y,0,321 320 US,5265,BRU,302,LIS,1638,Y,0,319 320 US,5265,BRU,302,PHL,3752,,0,762 US,5265,BSB,2531,MIA,3576,,0,757 US,5265,BTR,3846,CLT,3876,,0,CRJ US,5265,BTR,3846,DFW,3670,,0,ER4 ERD US,5265,BTV,3711,DCA,3520,,0,CRJ US,5265,BTV,3711,PHL,3752,,0,E90 US,5265,BUF,3820,BOS,3448,Y,0,CRJ US,5265,BUF,3820,CLT,3876,,0,320 319 734 US,5265,BUF,3820,DCA,3520,Y,0,E70 CRJ E75 US,5265,BUF,3820,ORD,3830,,0,CR7 US,5265,BUF,3820,PHL,3752,Y,0,CRJ E75 DH8 E70 US,5265,BUR,3644,PHX,3462,Y,0,CR9 CRJ US,5265,BWI,3849,CLT,3876,,0,E90 321 752 319 734 320 US,5265,BWI,3849,DFW,3670,,0,M83 M80 US,5265,BWI,3849,JFK,3797,Y,0,ER4 US,5265,BWI,3849,MIA,3576,,0,738 US,5265,BWI,3849,ORD,3830,Y,0,E75 ER4 CR7 US,5265,BWI,3849,PHL,3752,,0,319 E90 US,5265,BWI,3849,PHX,3462,,0,319 320 US,5265,BZE,1957,CLT,3876,,0,319 US,5265,BZE,1957,DFW,3670,,0,738 US,5265,BZE,1957,MIA,3576,,0,738 US,5265,CAE,3561,CLT,3876,Y,0,CRJ DH3 US,5265,CAE,3561,DCA,3520,,0,CRJ US,5265,CAE,3561,DFW,3670,,0,ER4 US,5265,CAE,3561,PHL,3752,Y,0,CRJ US,5265,CAK,4112,CLT,3876,,0,CRJ CR7 US,5265,CAK,4112,DCA,3520,Y,0,CRJ US,5265,CAK,4112,PHL,3752,,0,CRJ US,5265,CDG,1382,ATH,3941,Y,0,321 US,5265,CDG,1382,CLT,3876,,0,333 US,5265,CDG,1382,DFW,3670,,0,763 777 US,5265,CDG,1382,JFK,3797,,0,763 757 US,5265,CDG,1382,MIA,3576,,0,763 US,5265,CDG,1382,ORD,3830,,0,763 US,5265,CDG,1382,PHL,3752,,0,332 US,5265,CHA,3578,CLT,3876,Y,0,CRJ DH3 US,5265,CHA,3578,DCA,3520,Y,0,CRJ US,5265,CHA,3578,DFW,3670,,0,ERD US,5265,CHA,3578,ORD,3830,Y,0,ER4 ERD US,5265,CHO,4015,CLT,3876,,0,CRJ US,5265,CHO,4015,LGA,3697,Y,0,ERD US,5265,CHO,4015,ORD,3830,,0,CRJ US,5265,CHO,4015,PHL,3752,Y,0,DH8 US,5265,CHS,3806,CLT,3876,,0,319 CR7 CRJ US,5265,CHS,3806,DCA,3520,Y,0,E70 CRJ E75 US,5265,CHS,3806,DFW,3670,Y,0,ER4 ERD US,5265,CHS,3806,MIA,3576,,0,ER4 US,5265,CHS,3806,PHL,3752,Y,0,E75 CRJ US,5265,CID,4043,DFW,3670,Y,0,ER4 CRJ US,5265,CID,4043,ORD,3830,Y,0,ER4 US,5265,CLE,3486,CLT,3876,,0,319 CR7 US,5265,CLE,3486,DFW,3670,,0,319 US,5265,CLE,3486,JFK,3797,Y,0,ER4 US,5265,CLE,3486,MIA,3576,,0,ER4 US,5265,CLE,3486,ORD,3830,,0,ER4 CR7 ERD US,5265,CLE,3486,PHL,3752,Y,0,E75 CRJ E70 CR9 US,5265,CLL,3715,DFW,3670,,0,ER4 ERD US,5265,CLO,2715,MIA,3576,,0,738 319 318 320 US,5265,CLT,3876,ABE,4355,Y,0,CR7 CRJ CR9 US,5265,CLT,3876,AGS,3658,,0,CRJ US,5265,CLT,3876,ALB,3864,,0,319 US,5265,CLT,3876,ANU,2874,,0,319 US,5265,CLT,3876,ATL,3682,,0,320 321 319 US,5265,CLT,3876,AUA,2895,,0,752 319 320 US,5265,CLT,3876,AUS,3673,Y,0,CR9 US,5265,CLT,3876,AVL,4007,Y,0,DH3 CR9 CR7 CRJ DH8 US,5265,CLT,3876,AVP,4286,,0,CRJ US,5265,CLT,3876,BDL,3825,,0,319 321 320 US,5265,CLT,3876,BHM,3811,,0,CRJ US,5265,CLT,3876,BNA,3690,,0,CR7 319 US,5265,CLT,3876,BOS,3448,,0,321 319 320 US,5265,CLT,3876,BTR,3846,,0,CRJ US,5265,CLT,3876,BUF,3820,,0,319 320 734 US,5265,CLT,3876,BWI,3849,,0,319 734 321 752 320 E90 US,5265,CLT,3876,BZE,1957,,0,319 US,5265,CLT,3876,CAE,3561,Y,0,DH3 CRJ US,5265,CLT,3876,CAK,4112,,0,CRJ US,5265,CLT,3876,CDG,1382,,0,333 US,5265,CLT,3876,CHA,3578,,0,CRJ US,5265,CLT,3876,CHO,4015,,0,CRJ US,5265,CLT,3876,CHS,3806,,0,CR7 319 CRJ US,5265,CLT,3876,CLE,3486,,0,319 US,5265,CLT,3876,CMH,3759,Y,0,CR9 E75 CR7 CRJ E70 US,5265,CLT,3876,CRW,4285,,0,CRJ US,5265,CLT,3876,CUN,1852,,0,321 320 734 US,5265,CLT,3876,CVG,3488,,0,CRJ US,5265,CLT,3876,CZM,1800,,0,319 US,5265,CLT,3876,DAB,3950,,0,CR7 US,5265,CLT,3876,DAY,3627,,0,CRJ CR7 US,5265,CLT,3876,DCA,3520,,0,319 320 E90 US,5265,CLT,3876,DEN,3751,,0,321 320 US,5265,CLT,3876,DFW,3670,,0,M80 321 319 M83 320 734 752 US,5265,CLT,3876,DSM,3729,Y,0,CR9 US,5265,CLT,3876,DTW,3645,,0,319 321 320 US,5265,CLT,3876,DUB,599,,0,752 US,5265,CLT,3876,EWN,3730,Y,0,DH3 CRJ DH8 CR7 US,5265,CLT,3876,EWR,3494,,0,321 320 734 319 US,5265,CLT,3876,FAY,5738,,0,CRJ US,5265,CLT,3876,FCO,1555,,0,333 US,5265,CLT,3876,FLL,3533,,0,320 734 321 319 US,5265,CLT,3876,FLO,3879,Y,0,DH8 CRJ DH3 US,5265,CLT,3876,FPO,1948,Y,0,CR7 US,5265,CLT,3876,FRA,340,,0,333 332 US,5265,CLT,3876,GCM,1926,,0,320 321 319 US,5265,CLT,3876,GIG,2560,,0,762 US,5265,CLT,3876,GNV,3472,,0,CRJ US,5265,CLT,3876,GPT,4038,,0,CR7 CRJ US,5265,CLT,3876,GRU,2564,,0,332 US,5265,CLT,3876,GSO,4008,,0,CRJ US,5265,CLT,3876,GSP,4034,,0,CRJ US,5265,CLT,3876,HHH,8314,Y,0,DH8 US,5265,CLT,3876,HPN,3589,,0,CRJ US,5265,CLT,3876,HSV,4113,,0,CRJ CR7 US,5265,CLT,3876,HTS,5742,Y,0,DH3 DH8 US,5265,CLT,3876,IAD,3714,Y,0,CR7 CR9 US,5265,CLT,3876,IAH,3550,,0,734 319 321 320 US,5265,CLT,3876,ILM,3845,,0,319 CRJ CR7 US,5265,CLT,3876,IND,3585,,0,319 US,5265,CLT,3876,JAN,3580,,0,CRJ US,5265,CLT,3876,JAX,3712,,0,319 734 US,5265,CLT,3876,JFK,3797,,0,321 319 US,5265,CLT,3876,LAS,3877,,0,321 US,5265,CLT,3876,LAX,3484,,0,321 US,5265,CLT,3876,LEX,4017,,0,CR7 US,5265,CLT,3876,LGA,3697,,0,321 320 319 US,5265,CLT,3876,LHR,507,,0,333 US,5265,CLT,3876,LIR,1881,,0,320 US,5265,CLT,3876,LIT,3660,,0,CRJ US,5265,CLT,3876,LYH,5753,,0,CR7 US,5265,CLT,3876,MBJ,1780,,0,319 321 320 US,5265,CLT,3876,MCI,3458,,0,319 US,5265,CLT,3876,MCO,3878,,0,321 762 752 319 US,5265,CLT,3876,MDT,3542,,0,319 CR7 US,5265,CLT,3876,MEM,3473,,0,CR7 319 US,5265,CLT,3876,MEX,1824,,0,319 US,5265,CLT,3876,MGM,4115,Y,0,CRJ US,5265,CLT,3876,MHT,4011,Y,0,CR9 US,5265,CLT,3876,MIA,3576,,0,320 321 319 734 US,5265,CLT,3876,MKE,3717,,0,CR7 US,5265,CLT,3876,MLB,3671,,0,CRJ US,5265,CLT,3876,MOB,3782,,0,CRJ US,5265,CLT,3876,MSP,3858,,0,319 321 320 US,5265,CLT,3876,MSY,3861,,0,319 320 US,5265,CLT,3876,MYR,3515,,0,CR7 US,5265,CLT,3876,NAS,1953,,0,319 734 US,5265,CLT,3876,OAJ,4386,,0,CRJ CR7 US,5265,CLT,3876,OMA,3454,Y,0,CR9 US,5265,CLT,3876,ORD,3830,,0,321 320 E90 US,5265,CLT,3876,ORF,3611,,0,319 CR7 US,5265,CLT,3876,PBI,3722,,0,320 319 734 US,5265,CLT,3876,PDX,3720,,0,320 US,5265,CLT,3876,PGV,6959,,0,CRJ US,5265,CLT,3876,PHF,3633,,0,CRJ US,5265,CLT,3876,PHL,3752,,0,762 E90 319 320 332 752 321 734 US,5265,CLT,3876,PHX,3462,,0,752 321 US,5265,CLT,3876,PIT,3570,,0,319 734 320 321 US,5265,CLT,3876,PLS,1754,,0,321 US,5265,CLT,3876,PNS,3564,Y,0,CR9 US,5265,CLT,3876,PUJ,1760,,0,319 752 321 320 US,5265,CLT,3876,PVD,3641,,0,321 320 319 US,5265,CLT,3876,PWM,3862,,0,319 US,5265,CLT,3876,RDU,3626,,0,320 734 319 321 E90 US,5265,CLT,3876,RIC,3608,,0,319 US,5265,CLT,3876,ROA,4016,,0,CRJ US,5265,CLT,3876,ROC,3622,,0,319 US,5265,CLT,3876,RSW,3793,,0,320 321 319 734 US,5265,CLT,3876,SAN,3731,,0,320 321 US,5265,CLT,3876,SAT,3621,,0,319 US,5265,CLT,3876,SAV,3613,,0,CR7 CRJ US,5265,CLT,3876,SBY,3642,Y,0,DH3 US,5265,CLT,3876,SDF,4014,,0,CR7 CRJ US,5265,CLT,3876,SEA,3577,,0,320 321 319 US,5265,CLT,3876,SFO,3469,,0,321 US,5265,CLT,3876,SJD,1840,,0,320 US,5265,CLT,3876,SJO,1885,,0,319 US,5265,CLT,3876,SJU,2890,,0,321 US,5265,CLT,3876,SLC,3536,,0,320 US,5265,CLT,3876,SMF,3817,,0,321 US,5265,CLT,3876,SRQ,4067,Y,0,CR9 E75 US,5265,CLT,3876,STL,3678,,0,319 US,5265,CLT,3876,STT,2883,,0,752 762 US,5265,CLT,3876,SXM,2899,,0,752 319 US,5265,CLT,3876,SYR,3745,,0,319 320 US,5265,CLT,3876,TLH,3698,,0,CRJ CR7 US,5265,CLT,3876,TPA,3646,,0,320 321 319 734 US,5265,CLT,3876,TRI,4116,,0,CRJ US,5265,CLT,3876,TYS,3676,,0,CRJ CR7 US,5265,CLT,3876,UVF,2894,,0,320 319 US,5265,CLT,3876,VPS,3873,,0,CR7 CRJ US,5265,CLT,3876,XNA,4356,,0,CR7 CRJ US,5265,CLT,3876,YOW,100,Y,0,CRJ US,5265,CLT,3876,YUL,146,Y,0,CRJ US,5265,CLT,3876,YYZ,193,Y,0,E75 CRJ US,5265,CMH,3759,CLT,3876,Y,0,E75 CR9 CR7 E70 CRJ US,5265,CMH,3759,DCA,3520,,0,CRJ US,5265,CMH,3759,DFW,3670,,0,M83 M80 US,5265,CMH,3759,JFK,3797,,0,CR7 US,5265,CMH,3759,LAX,3484,,0,738 US,5265,CMH,3759,LGA,3697,,0,CR7 ERD US,5265,CMH,3759,MIA,3576,Y,0,ER4 US,5265,CMH,3759,ORD,3830,,0,ER4 US,5265,CMH,3759,PHL,3752,Y,0,E70 CRJ E75 US,5265,CMH,3759,PHX,3462,,0,319 320 US,5265,CMI,4049,DFW,3670,Y,0,ER4 US,5265,CMI,4049,ORD,3830,,0,ERD ER4 US,5265,CNF,2537,MIA,3576,,0,763 US,5265,CNS,3322,AKL,2006,Y,0,320 US,5265,COS,3819,DFW,3670,,0,M80 M83 US,5265,COU,3719,DFW,3670,,0,ER4 ERD US,5265,COU,3719,ORD,3830,Y,0,ER4 ERD US,5265,CRP,3744,DFW,3670,,0,319 ERD ER4 US,5265,CTG,2714,MIA,3576,,0,318 320 US,5265,CUN,1852,BOS,3448,,0,319 US,5265,CUN,1852,CLT,3876,,0,321 320 734 US,5265,CUN,1852,DFW,3670,,0,738 757 US,5265,CUN,1852,JFK,3797,,0,738 US,5265,CUN,1852,MIA,3576,,0,738 US,5265,CUN,1852,ORD,3830,,0,738 US,5265,CUN,1852,PHL,3752,,0,752 332 321 319 US,5265,CUN,1852,PHX,3462,,0,752 320 321 US,5265,CUR,2897,MIA,3576,,0,738 US,5265,CUU,1797,DFW,3670,Y,0,ER4 ERD US,5265,CVG,3488,CLT,3876,,0,CRJ US,5265,CVG,3488,DCA,3520,,0,CRJ US,5265,CVG,3488,DFW,3670,,0,ER4 US,5265,CVG,3488,JFK,3797,,0,ER4 US,5265,CVG,3488,MIA,3576,,0,ER4 US,5265,CVG,3488,ORD,3830,,0,ER4 US,5265,CVG,3488,PHL,3752,Y,0,E70 CRJ E75 US,5265,CWA,4045,ORD,3830,,0,ER4 ERD US,5265,CWB,2545,POA,2599,,0,763 US,5265,CZM,1800,CLT,3876,,0,319 US,5265,CZM,1800,DFW,3670,,0,738 US,5265,CZM,1800,MIA,3576,,0,738 US,5265,DAB,3950,CLT,3876,,0,CRJ CR7 US,5265,DAY,3627,CLT,3876,,0,CR7 CRJ US,5265,DAY,3627,DCA,3520,,0,CRJ US,5265,DAY,3627,DFW,3670,,0,M83 319 M80 US,5265,DAY,3627,LGA,3697,,0,ERD US,5265,DAY,3627,ORD,3830,,0,ER4 US,5265,DAY,3627,PHL,3752,,0,CRJ US,5265,DBQ,4388,ORD,3830,Y,0,ER4 ERD US,5265,DCA,3520,AGS,3658,Y,0,CRJ US,5265,DCA,3520,ALB,3864,,0,CRJ US,5265,DCA,3520,BDL,3825,,0,CRJ US,5265,DCA,3520,BGR,3463,Y,0,CRJ E70 US,5265,DCA,3520,BHM,3811,,0,CRJ US,5265,DCA,3520,BNA,3690,,0,ERD CRJ US,5265,DCA,3520,BOS,3448,,0,319 E90 US,5265,DCA,3520,BTV,3711,,0,CRJ US,5265,DCA,3520,BUF,3820,Y,0,CRJ E75 E70 US,5265,DCA,3520,CAE,3561,Y,0,CRJ US,5265,DCA,3520,CAK,4112,,0,CRJ US,5265,DCA,3520,CHA,3578,Y,0,CRJ US,5265,DCA,3520,CHS,3806,Y,0,E70 CRJ E75 US,5265,DCA,3520,CLT,3876,,0,319 CRJ 320 US,5265,DCA,3520,CMH,3759,Y,0,CRJ E75 E70 US,5265,DCA,3520,CRW,4285,Y,0,DH8 US,5265,DCA,3520,CVG,3488,,0,CRJ US,5265,DCA,3520,DAY,3627,,0,CRJ US,5265,DCA,3520,DFW,3670,,0,738 M80 US,5265,DCA,3520,DSM,3729,Y,0,E70 CRJ US,5265,DCA,3520,DTW,3645,Y,0,CRJ E70 E75 US,5265,DCA,3520,FAY,5738,Y,0,DH8 US,5265,DCA,3520,FLL,3533,,0,319 US,5265,DCA,3520,GSO,4008,Y,0,CRJ E70 E75 US,5265,DCA,3520,GSP,4034,,0,CRJ US,5265,DCA,3520,HHH,8314,Y,0,DH8 US,5265,DCA,3520,HPN,3589,,0,CRJ US,5265,DCA,3520,HSV,4113,Y,0,CRJ E70 US,5265,DCA,3520,ILM,3845,Y,0,CRJ US,5265,DCA,3520,IND,3585,,0,CRJ US,5265,DCA,3520,ISP,3857,Y,0,CRJ US,5265,DCA,3520,JAN,3580,,0,CRJ US,5265,DCA,3520,JAX,3712,Y,0,CRJ E75 E70 US,5265,DCA,3520,JFK,3797,,0,738 US,5265,DCA,3520,LAS,3877,,0,319 US,5265,DCA,3520,LAX,3484,,0,738 US,5265,DCA,3520,LGA,3697,,0,319 E90 US,5265,DCA,3520,LIT,3660,Y,0,E70 US,5265,DCA,3520,MCI,3458,Y,0,E70 E75 US,5265,DCA,3520,MCO,3878,,0,320 319 US,5265,DCA,3520,MEM,3473,,0,CRJ US,5265,DCA,3520,MHT,4011,Y,0,CRJ E75 E70 US,5265,DCA,3520,MIA,3576,,0,738 US,5265,DCA,3520,MSP,3858,Y,0,E70 E75 US,5265,DCA,3520,MSY,3861,Y,0,E70 E75 US,5265,DCA,3520,MYR,3515,Y,0,CRJ US,5265,DCA,3520,NAS,1953,,0,319 US,5265,DCA,3520,OAJ,4386,,0,CRJ US,5265,DCA,3520,OMA,3454,Y,0,E70 US,5265,DCA,3520,ORD,3830,,0,738 M83 US,5265,DCA,3520,ORF,3611,,0,CRJ US,5265,DCA,3520,PBI,3722,Y,0,E75 E70 US,5265,DCA,3520,PHL,3752,,0,319 320 CRJ US,5265,DCA,3520,PHX,3462,,0,320 752 US,5265,DCA,3520,PIT,3570,Y,0,CRJ E75 US,5265,DCA,3520,PNS,3564,,0,CRJ US,5265,DCA,3520,PVD,3641,Y,0,CRJ E75 E70 US,5265,DCA,3520,PWM,3862,Y,0,E75 CRJ E70 US,5265,DCA,3520,RDU,3626,,0,ERD CRJ US,5265,DCA,3520,ROC,3622,Y,0,E70 CRJ US,5265,DCA,3520,RSW,3793,Y,0,E75 E70 US,5265,DCA,3520,SAN,3731,,0,319 US,5265,DCA,3520,SAV,3613,,0,CRJ US,5265,DCA,3520,SDF,4014,,0,CRJ US,5265,DCA,3520,SRQ,4067,Y,0,CRJ US,5265,DCA,3520,STL,3678,Y,0,CR7 US,5265,DCA,3520,SYR,3745,Y,0,E70 CRJ E75 US,5265,DCA,3520,TLH,3698,Y,0,CRJ US,5265,DCA,3520,TPA,3646,,0,319 US,5265,DCA,3520,TYS,3676,,0,CRJ US,5265,DCA,3520,VPS,3873,,0,CRJ US,5265,DCA,3520,YHZ,73,Y,0,CRJ US,5265,DCA,3520,YUL,146,Y,0,CRJ US,5265,DCA,3520,YYZ,193,Y,0,CRJ US,5265,DEN,3751,CLT,3876,,0,321 320 US,5265,DEN,3751,DFW,3670,,0,738 M83 M80 US,5265,DEN,3751,LAX,3484,,0,CR7 US,5265,DEN,3751,MIA,3576,,0,738 US,5265,DEN,3751,ORD,3830,,0,CR7 US,5265,DEN,3751,PHL,3752,,0,320 321 US,5265,DEN,3751,PHX,3462,,0,320 321 US,5265,DFW,3670,ABI,3718,,0,ERD ER4 US,5265,DFW,3670,ABQ,4019,,0,M80 M83 US,5265,DFW,3670,ACT,3700,,0,ER4 US,5265,DFW,3670,AEX,3852,,0,ER4 US,5265,DFW,3670,AGU,1785,,0,ER4 US,5265,DFW,3670,AMA,3840,,0,ER4 US,5265,DFW,3670,ATL,3682,Y,0,M83 M80 319 US,5265,DFW,3670,AUS,3673,,0,M80 M83 738 US,5265,DFW,3670,BDL,3825,,0,738 US,5265,DFW,3670,BHM,3811,,0,M80 M83 US,5265,DFW,3670,BJX,1815,,0,319 US,5265,DFW,3670,BMI,4037,Y,0,ER4 US,5265,DFW,3670,BNA,3690,,0,738 M80 M83 US,5265,DFW,3670,BOG,2709,,0,319 US,5265,DFW,3670,BOS,3448,,0,738 757 US,5265,DFW,3670,BPT,3612,,0,ERD US,5265,DFW,3670,BRO,3738,Y,0,CRJ ER4 US,5265,DFW,3670,BTR,3846,,0,ER4 ERD US,5265,DFW,3670,BWI,3849,,0,M83 M80 US,5265,DFW,3670,BZE,1957,,0,738 US,5265,DFW,3670,CAE,3561,,0,ER4 US,5265,DFW,3670,CDG,1382,,0,763 777 US,5265,DFW,3670,CHA,3578,,0,ER4 ERD US,5265,DFW,3670,CHS,3806,Y,0,ER4 ERD US,5265,DFW,3670,CID,4043,Y,0,ER4 CRJ US,5265,DFW,3670,CLE,3486,,0,319 US,5265,DFW,3670,CLL,3715,,0,ER4 ERD US,5265,DFW,3670,CLT,3876,,0,321 319 M80 M83 320 734 752 US,5265,DFW,3670,CMH,3759,,0,M83 M80 US,5265,DFW,3670,CMI,4049,Y,0,ER4 US,5265,DFW,3670,COS,3819,,0,M80 M83 US,5265,DFW,3670,COU,3719,,0,ER4 ERD US,5265,DFW,3670,CRP,3744,,0,ERD ER4 US,5265,DFW,3670,CRW,4285,Y,0,CRJ US,5265,DFW,3670,CUN,1852,,0,738 757 US,5265,DFW,3670,CUU,1797,Y,0,ERD ER4 US,5265,DFW,3670,CVG,3488,,0,ER4 US,5265,DFW,3670,CZM,1800,,0,738 US,5265,DFW,3670,DAY,3627,,0,319 M80 M83 US,5265,DFW,3670,DCA,3520,,0,738 M80 US,5265,DFW,3670,DEN,3751,,0,738 M80 M83 US,5265,DFW,3670,DRO,3713,,0,ER4 US,5265,DFW,3670,DSM,3729,,0,ER4 M83 M80 US,5265,DFW,3670,DTW,3645,,0,738 M83 M80 US,5265,DFW,3670,ELP,3559,,0,M80 319 US,5265,DFW,3670,EVV,4018,Y,0,ERD US,5265,DFW,3670,EWR,3494,,0,M83 M80 US,5265,DFW,3670,FAR,4292,Y,0,ER4 ERD US,5265,DFW,3670,FAT,3687,,0,M80 US,5265,DFW,3670,FLL,3533,,0,738 US,5265,DFW,3670,FRA,340,,0,777 US,5265,DFW,3670,FSD,4009,Y,0,ER4 CRJ US,5265,DFW,3670,FSM,3437,,0,ER4 ERD US,5265,DFW,3670,FWA,4041,Y,0,ER4 US,5265,DFW,3670,GCK,3497,,0,ER4 ERD US,5265,DFW,3670,GDL,1804,,0,ER4 M80 US,5265,DFW,3670,GGG,3465,,0,ER4 ERD US,5265,DFW,3670,GIG,2560,,0,763 US,5265,DFW,3670,GJT,4063,,0,ER4 US,5265,DFW,3670,GPT,4038,,0,ER4 US,5265,DFW,3670,GRI,5740,,0,ERD ER4 US,5265,DFW,3670,GRK,3775,,0,ER4 US,5265,DFW,3670,GRR,3685,Y,0,ER4 ERD US,5265,DFW,3670,GRU,2564,,0,77W US,5265,DFW,3670,GSO,4008,,0,ER4 US,5265,DFW,3670,GSP,4034,,0,ER4 US,5265,DFW,3670,GUA,1767,,0,738 US,5265,DFW,3670,HNL,3728,,0,763 US,5265,DFW,3670,HOU,3566,,0,M83 M80 US,5265,DFW,3670,HSV,4113,,0,319 US,5265,DFW,3670,IAD,3714,,0,738 M80 US,5265,DFW,3670,IAH,3550,,0,M83 M80 US,5265,DFW,3670,ICN,3930,,0,777 US,5265,DFW,3670,ICT,3457,,0,319 US,5265,DFW,3670,IND,3585,,0,M80 M83 US,5265,DFW,3670,JAN,3580,,0,ER4 ERD US,5265,DFW,3670,JAX,3712,,0,M80 M83 US,5265,DFW,3670,JFK,3797,,0,738 US,5265,DFW,3670,JLN,4354,,0,ER4 US,5265,DFW,3670,LAS,3877,,0,738 M80 M83 757 US,5265,DFW,3670,LAW,4256,,0,ERD US,5265,DFW,3670,LAX,3484,Y,0,738 763 757 M83 US,5265,DFW,3670,LBB,3829,,0,ER4 M80 US,5265,DFW,3670,LCH,3513,,0,ERD US,5265,DFW,3670,LEX,4017,,0,ERD US,5265,DFW,3670,LFT,3493,,0,ERD ER4 US,5265,DFW,3670,LGA,3697,,0,738 US,5265,DFW,3670,LHR,507,,0,77W 777 US,5265,DFW,3670,LIM,2789,,0,763 US,5265,DFW,3670,LIR,1881,,0,738 US,5265,DFW,3670,LIT,3660,,0,ER4 M80 M83 US,5265,DFW,3670,LRD,3691,Y,0,ERD CRJ ER4 US,5265,DFW,3670,MAD,1229,,0,777 US,5265,DFW,3670,MAF,3652,,0,ERD ER4 US,5265,DFW,3670,MBJ,1780,,0,738 US,5265,DFW,3670,MCI,3458,,0,M80 M83 US,5265,DFW,3670,MCO,3878,,0,738 M80 M83 757 US,5265,DFW,3670,MEM,3473,,0,319 US,5265,DFW,3670,MEX,1824,,0,M80 US,5265,DFW,3670,MFE,3826,,0,319 M80 M83 US,5265,DFW,3670,MGM,4115,,0,ERD ER4 US,5265,DFW,3670,MHK,4050,,0,ER4 ERD US,5265,DFW,3670,MIA,3576,,0,738 763 757 US,5265,DFW,3670,MKE,3717,,0,M80 ER4 M83 US,5265,DFW,3670,MLI,4072,Y,0,ERD ER4 US,5265,DFW,3670,MLM,1821,,0,ER4 US,5265,DFW,3670,MLU,3732,,0,ER4 US,5265,DFW,3670,MOB,3782,,0,ER4 US,5265,DFW,3670,MSN,3459,,0,ER4 US,5265,DFW,3670,MSP,3858,,0,M80 M83 738 US,5265,DFW,3670,MSY,3861,Y,0,M83 M80 US,5265,DFW,3670,MTY,1825,,0,M80 M83 US,5265,DFW,3670,MZT,1826,Y,0,ERD ER4 US,5265,DFW,3670,NAS,1953,,0,738 US,5265,DFW,3670,NRT,2279,,0,777 US,5265,DFW,3670,OGG,3456,,0,763 US,5265,DFW,3670,OKC,3863,,0,M80 M83 US,5265,DFW,3670,OMA,3454,,0,M83 M80 US,5265,DFW,3670,ONT,3734,,0,M83 M80 US,5265,DFW,3670,ORD,3830,,0,M80 M83 US,5265,DFW,3670,ORF,3611,,0,M80 US,5265,DFW,3670,PBC,1831,,0,ERD US,5265,DFW,3670,PBI,3722,,0,738 US,5265,DFW,3670,PDX,3720,,0,M83 US,5265,DFW,3670,PHL,3752,,0,738 320 319 M83 M80 E90 752 US,5265,DFW,3670,PHX,3462,,0,321 738 M80 319 320 M83 US,5265,DFW,3670,PIA,4046,Y,0,ER4 US,5265,DFW,3670,PIT,3570,,0,M80 US,5265,DFW,3670,PLS,1754,,0,738 US,5265,DFW,3670,PNS,3564,,0,ER4 M83 M80 US,5265,DFW,3670,PSP,3839,,0,M80 M83 US,5265,DFW,3670,PTY,1871,,0,738 US,5265,DFW,3670,PVR,1836,,0,M80 M83 US,5265,DFW,3670,QRO,1838,Y,0,ERD US,5265,DFW,3670,RAP,4087,Y,0,ER4 CRJ US,5265,DFW,3670,RDU,3626,,0,M80 M83 738 US,5265,DFW,3670,RIC,3608,,0,M80 M83 US,5265,DFW,3670,RNO,3807,,0,M83 738 US,5265,DFW,3670,ROW,3736,,0,ERD US,5265,DFW,3670,RSW,3793,,0,738 US,5265,DFW,3670,RTB,1774,,0,738 US,5265,DFW,3670,SAF,3784,,0,ER4 US,5265,DFW,3670,SAL,1892,,0,E90 US,5265,DFW,3670,SAN,3731,,0,738 M80 M83 757 US,5265,DFW,3670,SAT,3621,,0,M83 M80 US,5265,DFW,3670,SAV,3613,,0,ER4 US,5265,DFW,3670,SCL,2650,,0,763 US,5265,DFW,3670,SDF,4014,,0,ERD M80 M83 319 US,5265,DFW,3670,SEA,3577,,0,738 757 US,5265,DFW,3670,SFO,3469,,0,738 757 763 US,5265,DFW,3670,SGF,4348,Y,0,ERD ER4 US,5265,DFW,3670,SHV,3609,Y,0,CRJ ERD ER4 US,5265,DFW,3670,SJC,3748,,0,M83 US,5265,DFW,3670,SJD,1840,,0,M80 M83 US,5265,DFW,3670,SJO,1885,,0,757 US,5265,DFW,3670,SJT,3708,,0,ER4 US,5265,DFW,3670,SJU,2890,,0,757 US,5265,DFW,3670,SLC,3536,,0,M83 M80 US,5265,DFW,3670,SLP,1842,,0,ERD US,5265,DFW,3670,SMF,3817,,0,M83 US,5265,DFW,3670,SNA,3867,,0,738 US,5265,DFW,3670,SPI,4336,,0,ERD ER4 US,5265,DFW,3670,SPS,3680,,0,ER4 US,5265,DFW,3670,STL,3678,,0,M80 M83 738 US,5265,DFW,3670,TLH,3698,Y,0,ER4 ERD US,5265,DFW,3670,TPA,3646,,0,738 M83 M80 US,5265,DFW,3670,TRC,1845,,0,ER4 US,5265,DFW,3670,TUL,3855,,0,M83 M80 757 738 US,5265,DFW,3670,TUS,3636,,0,M80 M83 US,5265,DFW,3670,TXK,3770,,0,ERD ER4 US,5265,DFW,3670,TYR,3848,,0,ER4 ERD CRJ US,5265,DFW,3670,TYS,3676,,0,ERD ER4 US,5265,DFW,3670,VPS,3873,,0,ER4 ERD US,5265,DFW,3670,XNA,4356,,0,M80 ER4 US,5265,DFW,3670,YEG,49,,0,319 US,5265,DFW,3670,YUL,146,,0,738 US,5265,DFW,3670,YVR,156,,0,738 US,5265,DFW,3670,YYC,178,,0,M80 738 US,5265,DFW,3670,YYZ,193,,0,319 US,5265,DFW,3670,ZCL,1855,Y,0,ERD US,5265,DKR,1084,IAD,3714,,0,343 US,5265,DKR,1084,JNB,813,,0,343 US,5265,DOH,11051,BCN,1218,,0,332 US,5265,DOH,11051,FRA,340,,0,788 77W US,5265,DOH,11051,IAH,3550,,0,77L US,5265,DOH,11051,LHR,507,,0,333 332 US,5265,DOH,11051,MAD,1229,,0,77W 772 US,5265,DOH,11051,MAN,478,,0,333 332 US,5265,DOH,11051,MUC,346,,0,788 US,5265,DRO,3713,DFW,3670,,0,ER4 US,5265,DRO,3713,PHX,3462,Y,0,CRJ CR9 US,5265,DSM,3729,CLT,3876,Y,0,CR9 US,5265,DSM,3729,DCA,3520,Y,0,E70 CRJ US,5265,DSM,3729,DFW,3670,,0,M80 ER4 M83 US,5265,DSM,3729,ORD,3830,,0,ERD ER4 US,5265,DSM,3729,PHX,3462,,0,319 US,5265,DTW,3645,CLT,3876,,0,319 321 US,5265,DTW,3645,DCA,3520,Y,0,E70 CRJ E75 US,5265,DTW,3645,DFW,3670,,0,M83 738 M80 US,5265,DTW,3645,LGA,3697,,0,CR7 US,5265,DTW,3645,MIA,3576,,0,738 US,5265,DTW,3645,ORD,3830,,0,ERD ER4 E75 US,5265,DTW,3645,PHL,3752,,0,320 E90 319 US,5265,DTW,3645,PHX,3462,,0,319 321 US,5265,DTW,3645,YUL,146,,0,330 US,5265,DUB,599,CLT,3876,,0,752 US,5265,DUB,599,JFK,3797,,0,757 US,5265,DUB,599,ORD,3830,,0,763 US,5265,DUB,599,PHL,3752,,0,332 US,5265,DUS,345,ORD,3830,,0,763 US,5265,ELH,1943,MIA,3576,,0,ER4 US,5265,ELM,3946,PHL,3752,Y,0,DH8 US,5265,ELP,3559,DFW,3670,,0,M80 319 US,5265,ELP,3559,LAX,3484,Y,0,CRJ US,5265,ELP,3559,ORD,3830,Y,0,E75 US,5265,ELP,3559,PHX,3462,Y,0,CRJ CR9 US,5265,ERI,4276,PHL,3752,Y,0,DH8 US,5265,EUG,4099,LAX,3484,Y,0,CRJ US,5265,EVV,4018,DFW,3670,Y,0,ERD US,5265,EVV,4018,ORD,3830,Y,0,ER4 ERD US,5265,EWN,3730,CLT,3876,Y,0,DH3 CRJ DH8 CR7 US,5265,EWR,3494,CLT,3876,,0,321 320 734 319 US,5265,EWR,3494,DFW,3670,,0,M83 M80 US,5265,EWR,3494,LIS,1638,Y,0,343 332 US,5265,EWR,3494,MIA,3576,,0,757 738 US,5265,EWR,3494,OPO,1636,Y,0,332 US,5265,EWR,3494,ORD,3830,,0,CR7 E75 US,5265,EWR,3494,PHL,3752,Y,0,CRJ DH8 US,5265,EWR,3494,PHX,3462,,0,320 US,5265,EYW,3875,MIA,3576,,0,ERD US,5265,FAO,1626,LIS,1638,Y,0,319 US,5265,FAR,4292,DFW,3670,Y,0,ER4 ERD US,5265,FAR,4292,ORD,3830,Y,0,ER4 US,5265,FAT,3687,DFW,3670,,0,M80 US,5265,FAT,3687,LAX,3484,Y,0,CRJ US,5265,FAT,3687,PHX,3462,Y,0,CR9 CRJ US,5265,FAY,5738,CLT,3876,,0,CR7 CRJ US,5265,FAY,5738,DCA,3520,Y,0,DH8 US,5265,FCO,1555,ATH,3941,Y,0,320 US,5265,FCO,1555,CLT,3876,,0,333 US,5265,FCO,1555,JFK,3797,,0,763 US,5265,FCO,1555,LIS,1638,Y,0,320 319 US,5265,FCO,1555,ORD,3830,,0,763 US,5265,FCO,1555,PHL,3752,,0,333 US,5265,FDF,2878,MIA,3576,,0,738 US,5265,FLG,4261,PHX,3462,Y,0,CRJ US,5265,FLL,3533,BOG,2709,,0,320 US,5265,FLL,3533,CLT,3876,,0,319 321 320 734 US,5265,FLL,3533,DCA,3520,,0,319 US,5265,FLL,3533,DFW,3670,,0,738 US,5265,FLL,3533,ORD,3830,,0,738 US,5265,FLL,3533,PAP,1897,,0,738 US,5265,FLL,3533,PHL,3752,,0,320 319 734 US,5265,FLL,3533,PHX,3462,,0,320 319 US,5265,FLO,3879,CLT,3876,Y,0,CRJ DH8 DH3 US,5265,FNC,4091,LIS,1638,Y,0,319 320 US,5265,FNT,4089,ORD,3830,Y,0,ER4 ERD US,5265,FPO,1948,CLT,3876,Y,0,CR7 US,5265,FPO,1948,MIA,3576,,0,ER4 ERD US,5265,FRA,340,CLT,3876,,0,333 332 US,5265,FRA,340,DFW,3670,,0,777 US,5265,FRA,340,DOH,11051,,0,77L 788 77W US,5265,FRA,340,IST,1701,Y,0,320 330 321 343 332 US,5265,FRA,340,JFK,3797,,0,388 US,5265,FRA,340,JNB,813,,0,346 US,5265,FRA,340,LIS,1638,Y,0,319 320 US,5265,FRA,340,PHL,3752,,0,332 762 US,5265,FRA,340,SIN,3316,,0,388 US,5265,FRA,340,SKG,1486,Y,0,321 US,5265,FSD,4009,DFW,3670,Y,0,ER4 CRJ US,5265,FSD,4009,ORD,3830,,0,ERD US,5265,FSM,3437,DFW,3670,,0,ER4 ERD US,5265,FWA,4041,DFW,3670,Y,0,ER4 US,5265,FWA,4041,ORD,3830,Y,0,ER4 ERD US,5265,GCK,3497,DFW,3670,Y,0,ER4 ERD US,5265,GCM,1926,CLT,3876,,0,320 321 319 US,5265,GCM,1926,MIA,3576,,0,738 US,5265,GCM,1926,PHL,3752,,0,319 US,5265,GDL,1804,DFW,3670,,0,M80 ER4 US,5265,GDL,1804,PHX,3462,Y,0,CR9 CRJ US,5265,GEG,3467,PHX,3462,,0,319 US,5265,GGG,3465,DFW,3670,,0,ER4 ERD US,5265,GGT,1941,MIA,3576,,0,ER4 US,5265,GIG,2560,CLT,3876,,0,762 US,5265,GIG,2560,DFW,3670,,0,763 US,5265,GIG,2560,JFK,3797,,0,763 US,5265,GIG,2560,MIA,3576,,0,763 US,5265,GJT,4063,DFW,3670,Y,0,ER4 US,5265,GJT,4063,PHX,3462,Y,0,CRJ US,5265,GLA,534,PHL,3752,,0,752 US,5265,GND,2882,MIA,3576,,0,738 US,5265,GNV,3472,CLT,3876,,0,CRJ US,5265,GNV,3472,MIA,3576,,0,ER4 US,5265,GPT,4038,CLT,3876,,0,CR7 CRJ US,5265,GPT,4038,DFW,3670,,0,ERD ER4 US,5265,GRB,3653,ORD,3830,Y,0,ER4 US,5265,GRI,5740,DFW,3670,,0,ERD ER4 US,5265,GRK,3775,DFW,3670,,0,ER4 US,5265,GRR,3685,DFW,3670,Y,0,ERD ER4 US,5265,GRR,3685,ORD,3830,Y,0,ER4 ERD US,5265,GRU,2564,CLT,3876,,0,332 US,5265,GRU,2564,DFW,3670,,0,77W US,5265,GRU,2564,JFK,3797,,0,77W 777 US,5265,GRU,2564,LAX,3484,,0,777 US,5265,GRU,2564,MIA,3576,,0,777 US,5265,GSO,4008,CLT,3876,,0,CRJ US,5265,GSO,4008,DCA,3520,Y,0,CRJ US,5265,GSO,4008,DFW,3670,,0,ER4 US,5265,GSO,4008,LGA,3697,,0,ERD US,5265,GSO,4008,MIA,3576,,0,ER4 US,5265,GSO,4008,PHL,3752,Y,0,E75 CRJ E70 US,5265,GSP,4034,CLT,3876,,0,CRJ CR7 US,5265,GSP,4034,DCA,3520,,0,CRJ US,5265,GSP,4034,DFW,3670,,0,ER4 US,5265,GSP,4034,PHL,3752,Y,0,CRJ US,5265,GUA,1767,DFW,3670,,0,738 US,5265,GUA,1767,LAX,3484,,0,320 US,5265,GUA,1767,MIA,3576,,0,738 E90 US,5265,GVA,1665,LIS,1638,Y,0,320 319 US,5265,HHH,8314,CLT,3876,Y,0,DH8 US,5265,HHH,8314,DCA,3520,Y,0,DH8 US,5265,HKG,3077,SFO,3469,,0,77W US,5265,HKG,3077,SIN,3316,,0,77W US,5265,HMO,1807,PHX,3462,Y,0,CRJ US,5265,HNL,3728,AKL,2006,Y,0,763 US,5265,HNL,3728,DFW,3670,,0,763 US,5265,HNL,3728,ITO,3415,Y,0,717 US,5265,HNL,3728,KOA,3514,Y,0,717 US,5265,HNL,3728,LAX,3484,,0,757 US,5265,HNL,3728,LIH,3602,Y,0,717 US,5265,HNL,3728,OGG,3456,Y,0,717 US,5265,HNL,3728,PHX,3462,,0,752 US,5265,HOU,3566,DFW,3670,,0,M83 M80 US,5265,HPN,3589,CLT,3876,,0,CRJ US,5265,HPN,3589,DCA,3520,,0,CRJ US,5265,HPN,3589,ORD,3830,Y,0,ERD US,5265,HPN,3589,PHL,3752,Y,0,DH8 CRJ US,5265,HSV,4113,CLT,3876,,0,CR7 CRJ US,5265,HSV,4113,DCA,3520,,0,CRJ US,5265,HSV,4113,DFW,3670,,0,319 US,5265,HSV,4113,ORD,3830,Y,0,ER4 US,5265,HTS,5742,CLT,3876,Y,0,DH8 DH3 US,5265,HVN,4006,PHL,3752,Y,0,DH8 US,5265,IAD,3714,CLT,3876,,0,CR7 US,5265,IAD,3714,DFW,3670,,0,738 M80 US,5265,IAD,3714,DKR,1084,,0,343 US,5265,IAD,3714,IST,1701,Y,0,330 US,5265,IAD,3714,LAX,3484,,0,738 US,5265,IAD,3714,MIA,3576,,0,738 US,5265,IAD,3714,SAL,1892,,0,319 321 320 US,5265,IAH,3550,CLT,3876,,0,321 734 319 320 US,5265,IAH,3550,DFW,3670,,0,M80 M83 US,5265,IAH,3550,DOH,11051,,0,77L US,5265,IAH,3550,IST,1701,,0,77W US,5265,IAH,3550,LAX,3484,,0,CR7 US,5265,IAH,3550,MIA,3576,,0,738 US,5265,IAH,3550,ORD,3830,,0,CR7 US,5265,IAH,3550,PHL,3752,,0,E90 US,5265,IAH,3550,PHX,3462,,0,319 320 US,5265,IAH,3550,SAL,1892,,0,E90 US,5265,ICN,3930,DFW,3670,,0,777 US,5265,ICN,3930,SFO,3469,,0,77W US,5265,ICN,3930,SIN,3316,,0,77W US,5265,ICT,3457,DFW,3670,,0,319 US,5265,ICT,3457,ORD,3830,Y,0,CRJ US,5265,ILM,3845,CLT,3876,,0,319 US,5265,ILM,3845,DCA,3520,Y,0,CRJ US,5265,ILM,3845,LGA,3697,Y,0,ERD US,5265,ILM,3845,PHL,3752,Y,0,CRJ E75 US,5265,IND,3585,CLT,3876,,0,319 US,5265,IND,3585,DCA,3520,,0,CRJ US,5265,IND,3585,DFW,3670,,0,M80 M83 US,5265,IND,3585,JFK,3797,,0,ER4 US,5265,IND,3585,LAX,3484,,0,738 US,5265,IND,3585,MIA,3576,,0,ER4 US,5265,IND,3585,ORD,3830,Y,0,E75 ER4 ERD CR7 US,5265,IND,3585,PHL,3752,,0,E90 US,5265,IND,3585,PHX,3462,,0,320 319 US,5265,IPT,3584,PHL,3752,Y,0,DH8 US,5265,ISP,3857,DCA,3520,Y,0,CRJ US,5265,ISP,3857,PHL,3752,Y,0,CRJ DH8 US,5265,IST,1701,FRA,340,Y,0,330 321 320 343 332 US,5265,IST,1701,IAD,3714,Y,0,330 US,5265,IST,1701,IAH,3550,,0,77W US,5265,IST,1701,JFK,3797,Y,0,330 77W US,5265,IST,1701,LAX,3484,Y,0,77W US,5265,IST,1701,MUC,346,Y,0,321 320 738 US,5265,IST,1701,ORD,3830,Y,0,330 US,5265,IST,1701,ZRH,1678,Y,0,738 321 US,5265,ITH,3947,PHL,3752,Y,0,DH8 CRJ US,5265,ITO,3415,HNL,3728,,0,717 US,5265,JAN,3580,CLT,3876,,0,CRJ US,5265,JAN,3580,DCA,3520,,0,CRJ US,5265,JAN,3580,DFW,3670,,0,ER4 ERD US,5265,JAX,3712,CLT,3876,,0,319 734 US,5265,JAX,3712,DCA,3520,Y,0,E75 CRJ E70 US,5265,JAX,3712,DFW,3670,,0,M83 M80 US,5265,JAX,3712,MIA,3576,,0,ER4 ERD US,5265,JAX,3712,ORD,3830,,0,ER4 CR7 US,5265,JAX,3712,PHL,3752,,0,E90 US,5265,JFK,3797,AMM,2170,,0,340 330 US,5265,JFK,3797,ANU,2874,,0,738 US,5265,JFK,3797,AUS,3673,,0,738 US,5265,JFK,3797,BCN,1218,,0,763 US,5265,JFK,3797,BDA,4069,,0,738 US,5265,JFK,3797,BNA,3690,Y,0,ER4 US,5265,JFK,3797,BOG,2709,,0,319 US,5265,JFK,3797,BOS,3448,,0,738 US,5265,JFK,3797,BWI,3849,Y,0,ER4 US,5265,JFK,3797,CDG,1382,,0,763 757 US,5265,JFK,3797,CLE,3486,Y,0,ER4 US,5265,JFK,3797,CLT,3876,,0,321 319 US,5265,JFK,3797,CMH,3759,,0,CR7 US,5265,JFK,3797,CUN,1852,,0,738 US,5265,JFK,3797,CVG,3488,Y,0,ER4 US,5265,JFK,3797,DCA,3520,,0,738 US,5265,JFK,3797,DFW,3670,,0,738 757 US,5265,JFK,3797,DUB,599,,0,757 US,5265,JFK,3797,FCO,1555,,0,763 US,5265,JFK,3797,FRA,340,,0,388 US,5265,JFK,3797,GIG,2560,,0,763 US,5265,JFK,3797,GRU,2564,,0,77W 777 US,5265,JFK,3797,IND,3585,,0,ER4 US,5265,JFK,3797,IST,1701,Y,0,330 77W US,5265,JFK,3797,JNB,813,,0,346 US,5265,JFK,3797,LAS,3877,,0,738 US,5265,JFK,3797,LAX,3484,,0,32B 762 US,5265,JFK,3797,LHR,507,,0,77W US,5265,JFK,3797,MAD,1229,,0,757 US,5265,JFK,3797,MAN,478,,0,757 US,5265,JFK,3797,MCO,3878,Y,0,763 757 US,5265,JFK,3797,MDE,2745,,0,319 US,5265,JFK,3797,MIA,3576,,0,757 738 US,5265,JFK,3797,MXP,1524,,0,763 US,5265,JFK,3797,ORD,3830,,0,738 US,5265,JFK,3797,ORF,3611,,0,ER4 US,5265,JFK,3797,PEK,3364,Y,0,773 US,5265,JFK,3797,PHX,3462,,0,321 US,5265,JFK,3797,PIT,3570,,0,ER4 US,5265,JFK,3797,RDU,3626,,0,ERD CR7 US,5265,JFK,3797,SAL,1892,,0,320 US,5265,JFK,3797,SAN,3731,,0,738 US,5265,JFK,3797,SEA,3577,,0,738 US,5265,JFK,3797,SFO,3469,,0,32B 763 US,5265,JFK,3797,SJO,1885,,0,738 US,5265,JFK,3797,SJU,2890,,0,757 US,5265,JFK,3797,STT,2883,,0,757 US,5265,JFK,3797,SXM,2899,,0,757 US,5265,JFK,3797,TPA,3646,Y,0,CR7 US,5265,JFK,3797,YUL,146,,0,ERD US,5265,JFK,3797,YYZ,193,,0,CR7 US,5265,JFK,3797,ZRH,1678,,0,763 US,5265,JLN,4354,DFW,3670,,0,ER4 US,5265,JNB,813,DKR,1084,,0,343 US,5265,JNB,813,FRA,340,,0,346 US,5265,JNB,813,JFK,3797,,0,346 US,5265,JNB,813,LHR,507,,0,332 343 US,5265,JNB,813,MUC,346,,0,346 343 332 US,5265,JTR,1479,ATH,3941,Y,0,321 US,5265,KIN,1779,MIA,3576,,0,738 US,5265,KOA,3514,HNL,3728,Y,0,717 US,5265,KOA,3514,LAX,3484,,0,757 US,5265,KOA,3514,PHX,3462,,0,752 US,5265,LAS,3877,CLT,3876,,0,321 US,5265,LAS,3877,DCA,3520,,0,320 319 US,5265,LAS,3877,DFW,3670,,0,M80 738 M83 757 US,5265,LAS,3877,JFK,3797,,0,738 US,5265,LAS,3877,LAX,3484,,0,738 US,5265,LAS,3877,MIA,3576,,0,738 US,5265,LAS,3877,ORD,3830,,0,M83 738 US,5265,LAS,3877,PHL,3752,,0,320 321 US,5265,LAS,3877,PHX,3462,,0,320 321 319 US,5265,LAW,4256,DFW,3670,,0,ER4 ERD US,5265,LAX,3484,ABQ,4019,Y,0,CRJ CR7 US,5265,LAX,3484,AKL,2006,Y,0,773 772 US,5265,LAX,3484,AUS,3673,,0,M83 738 US,5265,LAX,3484,BDL,3825,,0,738 US,5265,LAX,3484,BNA,3690,,0,738 US,5265,LAX,3484,BOS,3448,,0,757 738 US,5265,LAX,3484,CLT,3876,,0,321 US,5265,LAX,3484,CMH,3759,,0,738 US,5265,LAX,3484,DCA,3520,,0,738 US,5265,LAX,3484,DEN,3751,,0,CR7 US,5265,LAX,3484,DFW,3670,Y,0,738 763 757 M83 US,5265,LAX,3484,ELP,3559,Y,0,CRJ US,5265,LAX,3484,EUG,4099,Y,0,CRJ US,5265,LAX,3484,FAT,3687,Y,0,CRJ US,5265,LAX,3484,GRU,2564,,0,777 US,5265,LAX,3484,GUA,1767,,0,320 US,5265,LAX,3484,HNL,3728,,0,757 US,5265,LAX,3484,IAD,3714,,0,738 US,5265,LAX,3484,IAH,3550,,0,CR7 US,5265,LAX,3484,IND,3585,,0,738 US,5265,LAX,3484,IST,1701,Y,0,77W US,5265,LAX,3484,JFK,3797,,0,32B 762 US,5265,LAX,3484,KOA,3514,,0,757 US,5265,LAX,3484,LAS,3877,,0,738 US,5265,LAX,3484,LHR,507,,0,77W US,5265,LAX,3484,LIH,3602,,0,757 US,5265,LAX,3484,MCO,3878,,0,757 738 US,5265,LAX,3484,MIA,3576,,0,757 777 763 738 US,5265,LAX,3484,MRY,3948,Y,0,CRJ US,5265,LAX,3484,NRT,2279,,0,777 388 US,5265,LAX,3484,OGG,3456,,0,757 US,5265,LAX,3484,OKC,3863,Y,0,CR7 US,5265,LAX,3484,ORD,3830,,0,738 US,5265,LAX,3484,PBI,3722,Y,0,738 US,5265,LAX,3484,PEK,3364,Y,0,773 US,5265,LAX,3484,PHL,3752,,0,321 320 US,5265,LAX,3484,PHX,3462,,0,321 319 320 US,5265,LAX,3484,PIT,3570,,0,738 US,5265,LAX,3484,PVG,3406,,0,777 US,5265,LAX,3484,RAR,1959,Y,0,763 US,5265,LAX,3484,RDM,4103,Y,0,CRJ US,5265,LAX,3484,RDU,3626,,0,738 US,5265,LAX,3484,RNO,3807,Y,0,CRJ US,5265,LAX,3484,SAF,3784,Y,0,CRJ US,5265,LAX,3484,SAL,1892,,0,320 321 US,5265,LAX,3484,SAN,3731,Y,0,CRJ CR7 US,5265,LAX,3484,SFO,3469,,0,738 US,5265,LAX,3484,SJC,3748,,0,CR7 US,5265,LAX,3484,SJD,1840,,0,M83 738 US,5265,LAX,3484,SLC,3536,,0,CR7 US,5265,LAX,3484,SMF,3817,Y,0,CRJ US,5265,LAX,3484,STL,3678,,0,M83 US,5265,LAX,3484,TPE,2276,,0,77W US,5265,LAX,3484,TUS,3636,,0,CRJ US,5265,LAX,3484,XNA,4356,Y,0,CR7 US,5265,LAX,3484,YYZ,193,,0,738 US,5265,LBB,3829,DFW,3670,,0,M80 ER4 US,5265,LCA,1197,ATH,3941,Y,0,320 US,5265,LCH,3513,DFW,3670,,0,ERD US,5265,LEX,4017,CLT,3876,,0,CR7 US,5265,LEX,4017,DFW,3670,,0,ERD US,5265,LEX,4017,ORD,3830,Y,0,ERD ER4 US,5265,LFT,3493,DFW,3670,,0,ERD ER4 US,5265,LGA,3697,BNA,3690,,0,CR7 US,5265,LGA,3697,BOS,3448,,0,319 E90 US,5265,LGA,3697,CHO,4015,Y,0,ERD US,5265,LGA,3697,CLT,3876,,0,321 319 320 US,5265,LGA,3697,CMH,3759,,0,CR7 ERD US,5265,LGA,3697,DAY,3627,,0,ERD US,5265,LGA,3697,DCA,3520,,0,319 E90 US,5265,LGA,3697,DFW,3670,,0,738 US,5265,LGA,3697,DTW,3645,,0,CR7 US,5265,LGA,3697,GSO,4008,,0,ERD US,5265,LGA,3697,ILM,3845,Y,0,ERD US,5265,LGA,3697,LIT,3660,,0,CR7 US,5265,LGA,3697,MIA,3576,,0,738 US,5265,LGA,3697,ORD,3830,,0,738 US,5265,LGA,3697,ORF,3611,,0,ERD US,5265,LGA,3697,PBI,3722,,0,738 US,5265,LGA,3697,PHL,3752,,0,E90 319 US,5265,LGA,3697,PIT,3570,Y,0,CRJ E75 US,5265,LGA,3697,RDU,3626,,0,ERD CR7 US,5265,LGA,3697,RIC,3608,Y,0,ERD US,5265,LGA,3697,ROA,4016,Y,0,ERD US,5265,LGA,3697,SDF,4014,,0,ERD US,5265,LGA,3697,STL,3678,Y,0,CR7 US,5265,LGA,3697,TYS,3676,,0,ERD US,5265,LGA,3697,XNA,4356,,0,CR7 US,5265,LGA,3697,YUL,146,,0,ERD US,5265,LGA,3697,YYZ,193,,0,CR7 US,5265,LGB,3582,PHX,3462,,0,319 US,5265,LHR,507,ATH,3941,Y,0,321 US,5265,LHR,507,CLT,3876,,0,333 US,5265,LHR,507,DFW,3670,,0,77W 777 US,5265,LHR,507,DOH,11051,,0,333 77W 788 332 77L US,5265,LHR,507,JFK,3797,,0,77W US,5265,LHR,507,JNB,813,,0,332 343 US,5265,LHR,507,LAX,3484,,0,77W US,5265,LHR,507,LIS,1638,Y,0,319 320 US,5265,LHR,507,MIA,3576,,0,77W 777 US,5265,LHR,507,ORD,3830,,0,763 777 US,5265,LHR,507,PHL,3752,,0,333 US,5265,LHR,507,RDU,3626,,0,763 US,5265,LIH,3602,HNL,3728,Y,0,717 US,5265,LIH,3602,LAX,3484,,0,757 US,5265,LIH,3602,PHX,3462,,0,752 US,5265,LIM,2789,DFW,3670,,0,763 US,5265,LIM,2789,MIA,3576,,0,757 763 US,5265,LIR,1881,CLT,3876,,0,320 US,5265,LIR,1881,DFW,3670,,0,738 US,5265,LIR,1881,MIA,3576,,0,738 US,5265,LIS,1638,AMS,580,Y,0,320 319 US,5265,LIS,1638,BRU,302,Y,0,321 320 100 319 US,5265,LIS,1638,EWR,3494,Y,0,343 332 US,5265,LIS,1638,FAO,1626,Y,0,319 320 US,5265,LIS,1638,FNC,4091,Y,0,319 US,5265,LIS,1638,MAD,1229,Y,0,ER4 100 319 US,5265,LIS,1638,OPO,1636,Y,0,ER4 100 319 US,5265,LIS,1638,PHL,3752,,0,752 US,5265,LIT,3660,CLT,3876,,0,CRJ US,5265,LIT,3660,DCA,3520,Y,0,E70 US,5265,LIT,3660,DFW,3670,,0,M80 ER4 M83 US,5265,LIT,3660,LGA,3697,,0,CR7 US,5265,LIT,3660,ORD,3830,,0,ER4 US,5265,LPB,2762,VVI,2771,,0,757 US,5265,LRD,3691,DFW,3670,,0,ERD ER4 US,5265,LRM,1759,MIA,3576,,0,ER4 US,5265,LSE,4044,ORD,3830,Y,0,ER4 ERD US,5265,LYH,5753,CLT,3876,Y,0,DH3 CRJ CR7 US,5265,MAD,1229,DFW,3670,,0,777 US,5265,MAD,1229,DOH,11051,,0,77W 772 US,5265,MAD,1229,JFK,3797,,0,757 US,5265,MAD,1229,LIS,1638,Y,0,ER4 319 320 100 US,5265,MAD,1229,MIA,3576,,0,763 US,5265,MAD,1229,OPO,1636,Y,0,ER4 US,5265,MAD,1229,PHL,3752,,0,333 US,5265,MAF,3652,DFW,3670,,0,ERD ER4 US,5265,MAN,478,DOH,11051,,0,332 333 US,5265,MAN,478,JFK,3797,,0,757 US,5265,MAN,478,ORD,3830,,0,763 US,5265,MAN,478,PHL,3752,,0,332 US,5265,MAO,2551,MIA,3576,,0,738 US,5265,MBJ,1780,CLT,3876,,0,319 321 320 US,5265,MBJ,1780,DFW,3670,,0,738 US,5265,MBJ,1780,MIA,3576,,0,738 757 US,5265,MBJ,1780,ORD,3830,,0,738 US,5265,MBJ,1780,PHL,3752,,0,320 319 321 US,5265,MCI,3458,CLT,3876,,0,319 US,5265,MCI,3458,DCA,3520,Y,0,E75 E70 US,5265,MCI,3458,DFW,3670,,0,M83 M80 US,5265,MCI,3458,ORD,3830,,0,CR7 ER4 US,5265,MCI,3458,PHL,3752,Y,0,E75 E70 CRJ US,5265,MCI,3458,PHX,3462,,0,319 US,5265,MCO,3878,BOG,2709,,0,319 US,5265,MCO,3878,CLT,3876,,0,321 752 762 319 US,5265,MCO,3878,DCA,3520,,0,319 320 US,5265,MCO,3878,DFW,3670,,0,738 M83 M80 757 US,5265,MCO,3878,JFK,3797,Y,0,763 757 US,5265,MCO,3878,LAX,3484,,0,757 738 US,5265,MCO,3878,MIA,3576,,0,757 738 US,5265,MCO,3878,ORD,3830,,0,738 M83 M80 US,5265,MCO,3878,PHL,3752,,0,321 762 752 320 332 US,5265,MCO,3878,PHX,3462,,0,321 320 US,5265,MDE,2745,JFK,3797,,0,319 US,5265,MDE,2745,MIA,3576,,0,738 319 320 US,5265,MDT,3542,BOS,3448,Y,0,DH8 US,5265,MDT,3542,CLT,3876,,0,319 CR7 US,5265,MDT,3542,ORD,3830,Y,0,CR7 ERD US,5265,MDT,3542,PHL,3752,Y,0,DH8 US,5265,MEL,3339,AKL,2006,Y,0,773 US,5265,MEM,3473,CLT,3876,,0,319 US,5265,MEM,3473,DCA,3520,,0,CRJ US,5265,MEM,3473,DFW,3670,,0,319 US,5265,MEM,3473,MIA,3576,,0,ER4 US,5265,MEM,3473,ORD,3830,,0,CR7 US,5265,MEX,1824,CLT,3876,,0,319 US,5265,MEX,1824,DFW,3670,,0,M80 M83 US,5265,MEX,1824,MIA,3576,,0,738 US,5265,MEX,1824,ORD,3830,,0,738 US,5265,MEX,1824,PHX,3462,,0,319 US,5265,MFE,3826,DFW,3670,,0,M83 M80 319 US,5265,MGA,1863,MIA,3576,,0,738 E90 320 319 US,5265,MGM,4115,CLT,3876,Y,0,CRJ US,5265,MGM,4115,DFW,3670,Y,0,ERD ER4 US,5265,MHH,1930,MIA,3576,,0,ERD US,5265,MHK,4050,DFW,3670,,0,ER4 US,5265,MHK,4050,ORD,3830,,0,ERD ER4 US,5265,MHT,4011,CLT,3876,Y,0,CR9 US,5265,MHT,4011,DCA,3520,,0,CRJ US,5265,MHT,4011,PHL,3752,,0,CRJ US,5265,MIA,3576,ANU,2874,,0,738 US,5265,MIA,3576,ASU,2699,,0,757 US,5265,MIA,3576,ATL,3682,Y,0,ERD 738 ER4 US,5265,MIA,3576,AUA,2895,,0,738 US,5265,MIA,3576,BAQ,2710,,0,318 320 US,5265,MIA,3576,BCN,1218,,0,763 US,5265,MIA,3576,BDA,4069,,0,738 US,5265,MIA,3576,BDL,3825,,0,738 US,5265,MIA,3576,BGI,2875,,0,757 US,5265,MIA,3576,BHM,3811,,0,ER4 US,5265,MIA,3576,BNA,3690,,0,ER4 US,5265,MIA,3576,BOG,2709,,0,763 757 330 US,5265,MIA,3576,BOS,3448,,0,757 738 US,5265,MIA,3576,BSB,2531,,0,757 US,5265,MIA,3576,BWI,3849,,0,738 US,5265,MIA,3576,BZE,1957,Y,0,738 US,5265,MIA,3576,CDG,1382,,0,763 US,5265,MIA,3576,CHS,3806,,0,ER4 US,5265,MIA,3576,CLE,3486,,0,ER4 US,5265,MIA,3576,CLO,2715,,0,738 319 318 320 US,5265,MIA,3576,CLT,3876,,0,319 321 320 734 US,5265,MIA,3576,CMH,3759,,0,ER4 US,5265,MIA,3576,CNF,2537,,0,763 US,5265,MIA,3576,CTG,2714,,0,318 320 US,5265,MIA,3576,CUN,1852,,0,738 US,5265,MIA,3576,CUR,2897,,0,738 US,5265,MIA,3576,CVG,3488,,0,ER4 US,5265,MIA,3576,CWB,2545,,0,763 US,5265,MIA,3576,CZM,1800,,0,738 US,5265,MIA,3576,DCA,3520,,0,738 US,5265,MIA,3576,DEN,3751,,0,738 US,5265,MIA,3576,DFW,3670,,0,738 757 US,5265,MIA,3576,DTW,3645,,0,738 US,5265,MIA,3576,ELH,1943,,0,ER4 US,5265,MIA,3576,EWR,3494,,0,738 757 US,5265,MIA,3576,EYW,3875,,0,ERD US,5265,MIA,3576,FDF,2878,,0,738 US,5265,MIA,3576,FPO,1948,,0,ER4 ERD US,5265,MIA,3576,GCM,1926,,0,738 US,5265,MIA,3576,GGT,1941,,0,ER4 US,5265,MIA,3576,GIG,2560,,0,763 US,5265,MIA,3576,GND,2882,,0,738 US,5265,MIA,3576,GNV,3472,,0,ER4 US,5265,MIA,3576,GRU,2564,,0,777 US,5265,MIA,3576,GSO,4008,,0,ER4 US,5265,MIA,3576,GUA,1767,,0,738 E90 US,5265,MIA,3576,IAD,3714,,0,738 US,5265,MIA,3576,IAH,3550,,0,738 US,5265,MIA,3576,IND,3585,,0,ER4 US,5265,MIA,3576,JAX,3712,,0,ER4 ERD US,5265,MIA,3576,JFK,3797,,0,763 757 738 US,5265,MIA,3576,KIN,1779,,0,738 US,5265,MIA,3576,LAS,3877,,0,738 US,5265,MIA,3576,LAX,3484,,0,777 763 757 US,5265,MIA,3576,LGA,3697,,0,738 US,5265,MIA,3576,LHR,507,,0,77W 777 US,5265,MIA,3576,LIM,2789,,0,763 757 US,5265,MIA,3576,LIR,1881,,0,738 US,5265,MIA,3576,LPB,2762,,0,757 US,5265,MIA,3576,LRM,1759,,0,ER4 US,5265,MIA,3576,MAD,1229,,0,763 US,5265,MIA,3576,MAO,2551,,0,738 US,5265,MIA,3576,MBJ,1780,,0,738 757 US,5265,MIA,3576,MCO,3878,,0,757 738 US,5265,MIA,3576,MDE,2745,,0,738 319 320 US,5265,MIA,3576,MEM,3473,,0,ER4 US,5265,MIA,3576,MEX,1824,,0,738 US,5265,MIA,3576,MGA,1863,,0,738 E90 320 319 US,5265,MIA,3576,MHH,1930,,0,ERD US,5265,MIA,3576,MSP,3858,,0,738 US,5265,MIA,3576,MSY,3861,Y,0,738 US,5265,MIA,3576,MVD,2816,,0,763 US,5265,MIA,3576,MXP,1524,,0,763 US,5265,MIA,3576,NAS,1953,,0,ER4 ERD US,5265,MIA,3576,ORD,3830,,0,738 763 US,5265,MIA,3576,ORF,3611,,0,ER4 US,5265,MIA,3576,PAP,1897,,0,738 763 757 US,5265,MIA,3576,PHL,3752,,0,320 738 321 752 US,5265,MIA,3576,PHX,3462,,0,738 US,5265,MIA,3576,PIT,3570,,0,ER4 US,5265,MIA,3576,PLS,1754,,0,757 US,5265,MIA,3576,PNS,3564,,0,ER4 US,5265,MIA,3576,POP,1761,,0,757 US,5265,MIA,3576,POS,2902,,0,757 US,5265,MIA,3576,PTP,2881,,0,738 US,5265,MIA,3576,PTY,1871,,0,738 US,5265,MIA,3576,PUJ,1760,,0,738 US,5265,MIA,3576,RDU,3626,,0,738 US,5265,MIA,3576,REC,2610,,0,757 US,5265,MIA,3576,RIC,3608,,0,ER4 US,5265,MIA,3576,RTB,1774,,0,738 US,5265,MIA,3576,SAL,1892,,0,738 320 E90 US,5265,MIA,3576,SAN,3731,,0,738 US,5265,MIA,3576,SAP,1772,,0,738 320 E90 319 US,5265,MIA,3576,SCL,2650,,0,763 US,5265,MIA,3576,SDF,4014,,0,ER4 US,5265,MIA,3576,SDQ,1762,,0,757 763 US,5265,MIA,3576,SEA,3577,,0,757 US,5265,MIA,3576,SFO,3469,,0,763 757 738 US,5265,MIA,3576,SJO,1885,,0,757 738 US,5265,MIA,3576,SJU,2890,,0,738 757 US,5265,MIA,3576,SKB,2891,,0,738 US,5265,MIA,3576,SSA,2621,,0,757 US,5265,MIA,3576,STI,1764,Y,0,757 738 US,5265,MIA,3576,STL,3678,,0,738 US,5265,MIA,3576,STT,2883,,0,757 US,5265,MIA,3576,STX,2884,,0,738 US,5265,MIA,3576,SXM,2899,,0,757 738 US,5265,MIA,3576,TGU,1776,,0,757 US,5265,MIA,3576,TLH,3698,,0,ER4 ERD US,5265,MIA,3576,TPA,3646,,0,738 US,5265,MIA,3576,TUL,3855,,0,738 US,5265,MIA,3576,UVF,2894,Y,0,757 US,5265,MIA,3576,YUL,146,,0,738 US,5265,MIA,3576,YYZ,193,,0,738 US,5265,MKE,3717,CLT,3876,Y,0,CRJ CR7 CR9 US,5265,MKE,3717,DFW,3670,,0,M80 M83 ER4 US,5265,MKE,3717,ORD,3830,Y,0,CRJ US,5265,MKE,3717,PHL,3752,Y,0,CRJ US,5265,MKE,3717,PHX,3462,,0,320 319 US,5265,MLB,3671,CLT,3876,,0,CRJ US,5265,MLI,4072,DFW,3670,Y,0,ERD ER4 US,5265,MLI,4072,ORD,3830,Y,0,ER4 ERD US,5265,MLM,1821,DFW,3670,,0,ER4 US,5265,MLU,3732,DFW,3670,,0,ER4 US,5265,MOB,3782,CLT,3876,,0,CRJ US,5265,MOB,3782,DFW,3670,,0,ER4 US,5265,MQT,3675,ORD,3830,Y,0,ER4 US,5265,MRY,3948,LAX,3484,Y,0,CRJ US,5265,MRY,3948,PHX,3462,Y,0,CRJ US,5265,MSN,3459,DFW,3670,,0,ER4 US,5265,MSN,3459,ORD,3830,Y,0,ER4 ERD US,5265,MSP,3858,CLT,3876,,0,319 320 321 US,5265,MSP,3858,DCA,3520,Y,0,E75 E70 US,5265,MSP,3858,DFW,3670,,0,M80 M83 738 US,5265,MSP,3858,MIA,3576,,0,738 US,5265,MSP,3858,ORD,3830,,0,E75 US,5265,MSP,3858,PHL,3752,,0,319 E90 US,5265,MSP,3858,PHX,3462,,0,320 321 319 US,5265,MSY,3861,CLT,3876,,0,319 320 US,5265,MSY,3861,DCA,3520,,0,319 US,5265,MSY,3861,DFW,3670,Y,0,M80 M83 US,5265,MSY,3861,MIA,3576,Y,0,738 US,5265,MSY,3861,ORD,3830,Y,0,E75 US,5265,MSY,3861,PHL,3752,,0,319 E90 US,5265,MTY,1825,DFW,3670,,0,M80 M83 US,5265,MUC,346,ATH,3941,Y,0,320 US,5265,MUC,346,DOH,11051,,0,788 US,5265,MUC,346,IST,1701,Y,0,320 321 738 US,5265,MUC,346,JNB,813,,0,346 343 332 US,5265,MUC,346,LIS,1638,Y,0,320 US,5265,MUC,346,PHL,3752,,0,333 US,5265,MUC,346,SIN,3316,,0,77W US,5265,MUC,346,SKG,1486,Y,0,320 US,5265,MVD,2816,MIA,3576,,0,763 US,5265,MXP,1524,JFK,3797,,0,763 US,5265,MXP,1524,LIS,1638,Y,0,319 320 US,5265,MXP,1524,MIA,3576,,0,763 US,5265,MYR,3515,CLT,3876,,0,CR7 CRJ US,5265,MYR,3515,DCA,3520,Y,0,CRJ US,5265,MYR,3515,PHL,3752,Y,0,CRJ E75 US,5265,MZT,1826,DFW,3670,Y,0,ERD ER4 US,5265,MZT,1826,PHX,3462,,0,320 319 US,5265,NAN,1960,AKL,2006,Y,0,772 320 763 773 US,5265,NAS,1953,CLT,3876,,0,319 734 US,5265,NAS,1953,DCA,3520,,0,319 US,5265,NAS,1953,DFW,3670,,0,738 US,5265,NAS,1953,MIA,3576,,0,ER4 ERD US,5265,NAS,1953,PHL,3752,,0,319 320 US,5265,NCE,1354,LIS,1638,,0,ER4 100 US,5265,NRT,2279,DFW,3670,,0,777 US,5265,NRT,2279,LAX,3484,,0,777 388 US,5265,NRT,2279,ORD,3830,,0,777 US,5265,NRT,2279,SIN,3316,,0,388 US,5265,OAJ,4386,CLT,3876,,0,CR7 CRJ US,5265,OAJ,4386,DCA,3520,,0,CRJ US,5265,OAK,3453,PHX,3462,,0,319 US,5265,OGG,3456,DFW,3670,,0,763 US,5265,OGG,3456,HNL,3728,Y,0,717 US,5265,OGG,3456,LAX,3484,,0,757 US,5265,OGG,3456,PHX,3462,,0,752 US,5265,OKC,3863,DFW,3670,,0,M80 M83 US,5265,OKC,3863,LAX,3484,Y,0,CR7 US,5265,OKC,3863,ORD,3830,,0,ER4 US,5265,OMA,3454,CLT,3876,Y,0,CR9 US,5265,OMA,3454,DCA,3520,Y,0,E70 US,5265,OMA,3454,DFW,3670,,0,M80 M83 US,5265,OMA,3454,ORD,3830,,0,CR7 US,5265,OMA,3454,PHX,3462,,0,319 US,5265,ONT,3734,DFW,3670,,0,M80 M83 US,5265,ONT,3734,PHX,3462,,0,320 319 US,5265,OPO,1636,EWR,3494,Y,0,332 US,5265,OPO,1636,LIS,1638,Y,0,ER4 320 319 US,5265,OPO,1636,MAD,1229,Y,0,ER4 US,5265,ORD,3830,ABQ,4019,Y,0,E75 US,5265,ORD,3830,ALO,5718,,0,ERD US,5265,ORD,3830,AMM,2170,,0,340 US,5265,ORD,3830,ART,3838,,0,ERD US,5265,ORD,3830,ATL,3682,Y,0,E75 CR7 US,5265,ORD,3830,AUS,3673,,0,M80 M83 US,5265,ORD,3830,AZO,4039,Y,0,ER4 ERD US,5265,ORD,3830,BDL,3825,,0,ER4 E75 US,5265,ORD,3830,BMI,4037,Y,0,ER4 ERD US,5265,ORD,3830,BNA,3690,,0,ER4 CR7 US,5265,ORD,3830,BOS,3448,,0,738 US,5265,ORD,3830,BUF,3820,Y,0,ER4 CR7 E75 US,5265,ORD,3830,BWI,3849,,0,E75 US,5265,ORD,3830,CDG,1382,,0,763 US,5265,ORD,3830,CHA,3578,Y,0,ER4 ERD US,5265,ORD,3830,CHO,4015,Y,0,CRJ US,5265,ORD,3830,CID,4043,Y,0,ER4 US,5265,ORD,3830,CLE,3486,,0,ER4 CR7 ERD US,5265,ORD,3830,CLT,3876,,0,321 320 E90 319 US,5265,ORD,3830,CMH,3759,,0,ER4 ERD US,5265,ORD,3830,CMI,4049,,0,ER4 ERD US,5265,ORD,3830,COU,3719,,0,ER4 US,5265,ORD,3830,CUN,1852,,0,738 US,5265,ORD,3830,CVG,3488,,0,ER4 US,5265,ORD,3830,CWA,4045,,0,ERD ER4 US,5265,ORD,3830,DAY,3627,,0,ER4 US,5265,ORD,3830,DBQ,4388,Y,0,ERD ER4 US,5265,ORD,3830,DCA,3520,,0,738 M83 US,5265,ORD,3830,DEN,3751,,0,CR7 US,5265,ORD,3830,DFW,3670,Y,0,M80 M83 738 US,5265,ORD,3830,DSM,3729,,0,ERD ER4 US,5265,ORD,3830,DTW,3645,,0,ERD ER4 E75 US,5265,ORD,3830,DUB,599,,0,763 US,5265,ORD,3830,DUS,345,,0,763 US,5265,ORD,3830,ELP,3559,Y,0,E75 US,5265,ORD,3830,EVV,4018,Y,0,ER4 ERD US,5265,ORD,3830,EWR,3494,,0,CR7 E75 US,5265,ORD,3830,FAR,4292,Y,0,ER4 US,5265,ORD,3830,FCO,1555,,0,763 US,5265,ORD,3830,FLL,3533,,0,738 US,5265,ORD,3830,FNT,4089,Y,0,ER4 ERD US,5265,ORD,3830,FSD,4009,,0,ERD US,5265,ORD,3830,FWA,4041,Y,0,ERD ER4 US,5265,ORD,3830,GRB,3653,Y,0,ER4 US,5265,ORD,3830,GRR,3685,Y,0,ER4 ERD US,5265,ORD,3830,HPN,3589,Y,0,ERD US,5265,ORD,3830,HSV,4113,,0,ER4 US,5265,ORD,3830,IAH,3550,,0,CR7 US,5265,ORD,3830,ICT,3457,Y,0,CRJ US,5265,ORD,3830,IND,3585,Y,0,ER4 ERD E75 CR7 US,5265,ORD,3830,IST,1701,Y,0,330 US,5265,ORD,3830,JAX,3712,,0,ER4 CR7 US,5265,ORD,3830,JFK,3797,,0,738 US,5265,ORD,3830,LAS,3877,,0,738 M83 US,5265,ORD,3830,LAX,3484,,0,738 US,5265,ORD,3830,LEX,4017,Y,0,ERD ER4 US,5265,ORD,3830,LGA,3697,,0,738 US,5265,ORD,3830,LHR,507,,0,763 777 US,5265,ORD,3830,LIT,3660,,0,ER4 US,5265,ORD,3830,LSE,4044,Y,0,ER4 ERD US,5265,ORD,3830,MAN,478,,0,763 US,5265,ORD,3830,MBJ,1780,,0,738 US,5265,ORD,3830,MCI,3458,,0,CR7 ER4 US,5265,ORD,3830,MCO,3878,,0,738 M83 M80 US,5265,ORD,3830,MDT,3542,Y,0,ERD CR7 US,5265,ORD,3830,MEM,3473,,0,CR7 US,5265,ORD,3830,MEX,1824,,0,738 US,5265,ORD,3830,MHK,4050,Y,0,ERD ER4 US,5265,ORD,3830,MIA,3576,,0,738 763 US,5265,ORD,3830,MKE,3717,Y,0,CRJ US,5265,ORD,3830,MLI,4072,Y,0,ERD ER4 US,5265,ORD,3830,MQT,3675,Y,0,ER4 US,5265,ORD,3830,MSN,3459,Y,0,ER4 ERD US,5265,ORD,3830,MSP,3858,,0,E75 US,5265,ORD,3830,MSY,3861,Y,0,E75 US,5265,ORD,3830,NRT,2279,,0,777 US,5265,ORD,3830,OKC,3863,,0,ER4 US,5265,ORD,3830,OMA,3454,,0,CR7 US,5265,ORD,3830,PBI,3722,,0,M83 M80 US,5265,ORD,3830,PDX,3720,,0,738 US,5265,ORD,3830,PEK,3364,,0,777 US,5265,ORD,3830,PHL,3752,,0,320 321 319 E90 US,5265,ORD,3830,PHX,3462,,0,321 738 M83 320 M80 US,5265,ORD,3830,PIA,4046,,0,ERD US,5265,ORD,3830,PIT,3570,,0,CR7 ER4 E75 US,5265,ORD,3830,PSP,3839,,0,M83 US,5265,ORD,3830,PVG,3406,,0,777 US,5265,ORD,3830,PVR,1836,Y,0,M83 US,5265,ORD,3830,RDU,3626,,0,738 M80 M83 US,5265,ORD,3830,RIC,3608,,0,ERD US,5265,ORD,3830,RNO,3807,,0,738 US,5265,ORD,3830,ROC,3622,,0,ER4 US,5265,ORD,3830,RST,4048,Y,0,ERD ER4 US,5265,ORD,3830,RSW,3793,,0,M80 738 US,5265,ORD,3830,SAN,3731,,0,738 US,5265,ORD,3830,SAT,3621,Y,0,CR7 E75 US,5265,ORD,3830,SDF,4014,,0,ER4 E75 US,5265,ORD,3830,SEA,3577,,0,738 US,5265,ORD,3830,SFO,3469,,0,738 US,5265,ORD,3830,SGF,4348,Y,0,ERD ER4 US,5265,ORD,3830,SJC,3748,,0,738 US,5265,ORD,3830,SJD,1840,,0,M83 738 US,5265,ORD,3830,SJU,2890,,0,738 US,5265,ORD,3830,SLC,3536,Y,0,E75 CR7 US,5265,ORD,3830,SNA,3867,,0,738 US,5265,ORD,3830,STL,3678,,0,M80 M83 738 US,5265,ORD,3830,SUX,3753,,0,ER4 US,5265,ORD,3830,SYR,3745,,0,ER4 CR7 US,5265,ORD,3830,TOL,4040,,0,ER4 US,5265,ORD,3830,TPA,3646,,0,M83 738 M80 US,5265,ORD,3830,TUL,3855,Y,0,ER4 738 US,5265,ORD,3830,TUS,3636,,0,M83 M80 US,5265,ORD,3830,TVC,4023,Y,0,ERD ER4 US,5265,ORD,3830,TYS,3676,,0,ER4 US,5265,ORD,3830,XNA,4356,,0,ER4 CR7 US,5265,ORD,3830,YKF,79,,0,ER4 US,5265,ORD,3830,YUL,146,,0,CRJ US,5265,ORD,3830,YYZ,193,,0,ER4 CR7 US,5265,ORF,3611,CLT,3876,,0,319 CR7 US,5265,ORF,3611,DCA,3520,,0,CRJ US,5265,ORF,3611,DFW,3670,,0,M80 M83 US,5265,ORF,3611,JFK,3797,,0,ER4 US,5265,ORF,3611,LGA,3697,,0,ERD US,5265,ORF,3611,MIA,3576,,0,ER4 US,5265,ORF,3611,PHL,3752,,0,CRJ US,5265,PAP,1897,FLL,3533,,0,738 US,5265,PAP,1897,MIA,3576,,0,738 763 757 US,5265,PBC,1831,DFW,3670,,0,ERD US,5265,PBI,3722,CLT,3876,,0,734 320 319 US,5265,PBI,3722,DCA,3520,Y,0,E75 E70 US,5265,PBI,3722,DFW,3670,,0,738 US,5265,PBI,3722,LAX,3484,Y,0,738 US,5265,PBI,3722,LGA,3697,,0,738 US,5265,PBI,3722,ORD,3830,,0,M83 738 M80 US,5265,PBI,3722,PHL,3752,,0,E90 319 US,5265,PDX,3720,CLT,3876,,0,320 US,5265,PDX,3720,DFW,3670,,0,M83 US,5265,PDX,3720,ORD,3830,,0,738 US,5265,PDX,3720,PHL,3752,,0,320 US,5265,PDX,3720,PHX,3462,,0,321 320 319 US,5265,PEK,3364,JFK,3797,Y,0,773 US,5265,PEK,3364,LAX,3484,Y,0,773 US,5265,PEK,3364,ORD,3830,,0,777 US,5265,PEK,3364,SFO,3469,Y,0,773 US,5265,PER,3351,AKL,2006,Y,0,772 US,5265,PGV,6959,CLT,3876,,0,CRJ US,5265,PHF,3633,CLT,3876,,0,CR7 US,5265,PHF,3633,PHL,3752,Y,0,DH8 US,5265,PHL,3752,ABE,4355,Y,0,DH8 CRJ US,5265,PHL,3752,ALB,3864,Y,0,DH8 E75 CRJ US,5265,PHL,3752,AMS,580,,0,752 US,5265,PHL,3752,ART,3838,Y,0,CRJ US,5265,PHL,3752,ATH,3941,,0,332 US,5265,PHL,3752,ATL,3682,,0,E90 319 US,5265,PHL,3752,AUA,2895,,0,320 US,5265,PHL,3752,AUS,3673,,0,319 E90 US,5265,PHL,3752,AVP,4286,Y,0,DH8 CRJ US,5265,PHL,3752,BCN,1218,,0,332 US,5265,PHL,3752,BDA,4069,,0,319 US,5265,PHL,3752,BDL,3825,,0,E90 US,5265,PHL,3752,BGM,4129,Y,0,DH8 US,5265,PHL,3752,BGR,3463,Y,0,E75 CRJ US,5265,PHL,3752,BHM,3811,,0,CRJ US,5265,PHL,3752,BNA,3690,,0,CRJ US,5265,PHL,3752,BOS,3448,,0,E90 319 321 320 US,5265,PHL,3752,BRU,302,,0,762 US,5265,PHL,3752,BTV,3711,,0,E90 US,5265,PHL,3752,BUF,3820,Y,0,DH8 CRJ E75 E70 US,5265,PHL,3752,BWI,3849,,0,319 E90 US,5265,PHL,3752,CAE,3561,Y,0,CRJ US,5265,PHL,3752,CAK,4112,,0,CRJ US,5265,PHL,3752,CDG,1382,,0,332 US,5265,PHL,3752,CHO,4015,Y,0,DH8 US,5265,PHL,3752,CHS,3806,,0,CRJ US,5265,PHL,3752,CLE,3486,Y,0,CRJ E70 CR9 E75 US,5265,PHL,3752,CLT,3876,,0,752 321 E90 734 762 332 319 320 US,5265,PHL,3752,CMH,3759,Y,0,CRJ E75 E70 US,5265,PHL,3752,CUN,1852,,0,752 332 321 319 US,5265,PHL,3752,CVG,3488,,0,CRJ US,5265,PHL,3752,DAY,3627,,0,CRJ US,5265,PHL,3752,DCA,3520,,0,CRJ 319 E90 US,5265,PHL,3752,DEN,3751,,0,321 320 US,5265,PHL,3752,DFW,3670,,0,M83 319 320 738 M80 E90 752 US,5265,PHL,3752,DTW,3645,,0,E90 320 319 US,5265,PHL,3752,DUB,599,,0,332 US,5265,PHL,3752,ELM,3946,Y,0,DH8 US,5265,PHL,3752,ERI,4276,Y,0,DH8 US,5265,PHL,3752,EWR,3494,Y,0,CRJ DH8 US,5265,PHL,3752,FCO,1555,,0,333 US,5265,PHL,3752,FLL,3533,,0,320 319 US,5265,PHL,3752,FRA,340,,0,332 762 US,5265,PHL,3752,GCM,1926,,0,319 US,5265,PHL,3752,GLA,534,,0,752 US,5265,PHL,3752,GSO,4008,Y,0,CRJ E75 US,5265,PHL,3752,GSP,4034,Y,0,CRJ US,5265,PHL,3752,HPN,3589,Y,0,DH8 CRJ US,5265,PHL,3752,HVN,4006,Y,0,DH8 US,5265,PHL,3752,IAH,3550,,0,E90 US,5265,PHL,3752,ILM,3845,Y,0,CRJ E75 US,5265,PHL,3752,IND,3585,,0,E90 319 US,5265,PHL,3752,IPT,3584,Y,0,DH8 US,5265,PHL,3752,ISP,3857,Y,0,CRJ DH8 US,5265,PHL,3752,ITH,3947,Y,0,DH8 CRJ US,5265,PHL,3752,JAX,3712,,0,E90 US,5265,PHL,3752,LAS,3877,,0,321 320 US,5265,PHL,3752,LAX,3484,,0,321 320 US,5265,PHL,3752,LGA,3697,,0,E90 319 US,5265,PHL,3752,LHR,507,,0,333 US,5265,PHL,3752,LIS,1638,,0,752 US,5265,PHL,3752,MAD,1229,,0,333 US,5265,PHL,3752,MAN,478,,0,332 US,5265,PHL,3752,MBJ,1780,,0,320 319 321 US,5265,PHL,3752,MCI,3458,Y,0,E70 E75 CRJ US,5265,PHL,3752,MCO,3878,,0,762 321 752 320 332 US,5265,PHL,3752,MDT,3542,Y,0,DH8 US,5265,PHL,3752,MHT,4011,,0,CRJ US,5265,PHL,3752,MIA,3576,,0,738 321 752 320 US,5265,PHL,3752,MKE,3717,Y,0,CRJ US,5265,PHL,3752,MSP,3858,,0,E90 319 US,5265,PHL,3752,MSY,3861,,0,319 E90 US,5265,PHL,3752,MUC,346,,0,333 US,5265,PHL,3752,MYR,3515,Y,0,CRJ E75 US,5265,PHL,3752,NAS,1953,,0,319 320 US,5265,PHL,3752,ORD,3830,,0,320 319 321 E90 US,5265,PHL,3752,ORF,3611,Y,0,DH8 CRJ E70 US,5265,PHL,3752,PBI,3722,,0,319 E90 US,5265,PHL,3752,PDX,3720,,0,320 US,5265,PHL,3752,PHF,3633,Y,0,DH8 US,5265,PHL,3752,PHX,3462,,0,321 752 US,5265,PHL,3752,PIT,3570,,0,319 E90 320 US,5265,PHL,3752,PLS,1754,,0,319 US,5265,PHL,3752,PUJ,1760,,0,319 332 320 US,5265,PHL,3752,PVD,3641,,0,E90 US,5265,PHL,3752,PWM,3862,,0,E90 US,5265,PHL,3752,RDU,3626,,0,319 E90 US,5265,PHL,3752,RIC,3608,Y,0,DH8 CR9 CRJ US,5265,PHL,3752,ROA,4016,Y,0,DH8 US,5265,PHL,3752,ROC,3622,Y,0,DH8 CRJ E70 E75 US,5265,PHL,3752,RSW,3793,,0,319 E90 320 US,5265,PHL,3752,SAN,3731,,0,320 US,5265,PHL,3752,SAT,3621,,0,E90 US,5265,PHL,3752,SAV,3613,Y,0,E75 E70 CRJ US,5265,PHL,3752,SBY,3642,Y,0,DH8 US,5265,PHL,3752,SCE,4318,Y,0,CRJ DH8 US,5265,PHL,3752,SDF,4014,Y,0,CRJ CR9 US,5265,PHL,3752,SDQ,1762,,0,320 US,5265,PHL,3752,SEA,3577,,0,320 321 US,5265,PHL,3752,SFO,3469,,0,320 321 US,5265,PHL,3752,SJU,2890,,0,762 752 320 US,5265,PHL,3752,SLC,3536,,0,320 US,5265,PHL,3752,STL,3678,Y,0,CRJ E70 E75 US,5265,PHL,3752,STT,2883,,0,752 US,5265,PHL,3752,SWF,3661,Y,0,DH8 CRJ US,5265,PHL,3752,SXM,2899,,0,332 US,5265,PHL,3752,SYR,3745,Y,0,DH8 CRJ E75 E70 US,5265,PHL,3752,TLV,1590,,0,332 US,5265,PHL,3752,TPA,3646,,0,321 320 319 734 US,5265,PHL,3752,TYS,3676,,0,CRJ US,5265,PHL,3752,VCE,1551,,0,332 US,5265,PHL,3752,YHZ,73,Y,0,E70 CRJ E75 US,5265,PHL,3752,YOW,100,Y,0,CRJ US,5265,PHL,3752,YQB,111,Y,0,CRJ US,5265,PHL,3752,YUL,146,Y,0,CRJ US,5265,PHL,3752,YYZ,193,Y,0,CRJ E75 US,5265,PHL,3752,ZRH,1678,,0,762 US,5265,PHX,3462,ABQ,4019,Y,0,CR9 CRJ US,5265,PHX,3462,ANC,3774,,0,320 US,5265,PHX,3462,ATL,3682,,0,321 320 US,5265,PHX,3462,AUS,3673,,0,319 US,5265,PHX,3462,BFL,3558,Y,0,CR9 CRJ US,5265,PHX,3462,BOI,3495,,0,319 US,5265,PHX,3462,BOS,3448,,0,320 319 US,5265,PHX,3462,BUR,3644,Y,0,CR9 CRJ US,5265,PHX,3462,BWI,3849,,0,321 319 320 US,5265,PHX,3462,CLT,3876,,0,321 320 US,5265,PHX,3462,CMH,3759,,0,320 319 US,5265,PHX,3462,CUN,1852,,0,752 320 321 US,5265,PHX,3462,DCA,3520,,0,752 320 319 US,5265,PHX,3462,DEN,3751,,0,320 321 US,5265,PHX,3462,DFW,3670,,0,M83 319 738 321 M80 320 US,5265,PHX,3462,DRO,3713,Y,0,CRJ CR9 US,5265,PHX,3462,DSM,3729,,0,319 US,5265,PHX,3462,DTW,3645,,0,321 319 US,5265,PHX,3462,ELP,3559,Y,0,CR9 CRJ US,5265,PHX,3462,EWR,3494,,0,320 US,5265,PHX,3462,FAT,3687,Y,0,CR9 CRJ US,5265,PHX,3462,FLG,4261,Y,0,CRJ US,5265,PHX,3462,FLL,3533,,0,320 319 US,5265,PHX,3462,GDL,1804,Y,0,CR9 CRJ US,5265,PHX,3462,GEG,3467,,0,319 US,5265,PHX,3462,GJT,4063,Y,0,CRJ US,5265,PHX,3462,HMO,1807,Y,0,CRJ US,5265,PHX,3462,HNL,3728,,0,752 US,5265,PHX,3462,IAH,3550,,0,319 321 320 US,5265,PHX,3462,IND,3585,,0,320 319 US,5265,PHX,3462,JFK,3797,,0,321 US,5265,PHX,3462,KOA,3514,,0,752 US,5265,PHX,3462,LAS,3877,,0,321 320 319 US,5265,PHX,3462,LAX,3484,,0,321 319 320 US,5265,PHX,3462,LGB,3582,,0,319 US,5265,PHX,3462,LIH,3602,,0,752 US,5265,PHX,3462,MCI,3458,,0,319 US,5265,PHX,3462,MCO,3878,,0,320 321 US,5265,PHX,3462,MEX,1824,,0,319 US,5265,PHX,3462,MIA,3576,,0,738 US,5265,PHX,3462,MKE,3717,,0,319 US,5265,PHX,3462,MRY,3948,Y,0,CRJ US,5265,PHX,3462,MSP,3858,,0,320 321 319 US,5265,PHX,3462,MZT,1826,,0,320 319 US,5265,PHX,3462,OAK,3453,,0,319 US,5265,PHX,3462,OGG,3456,,0,752 US,5265,PHX,3462,OMA,3454,,0,319 US,5265,PHX,3462,ONT,3734,,0,319 320 US,5265,PHX,3462,ORD,3830,,0,M83 320 321 738 US,5265,PHX,3462,PDX,3720,,0,319 320 321 US,5265,PHX,3462,PHL,3752,,0,752 321 US,5265,PHX,3462,PIT,3570,,0,319 320 US,5265,PHX,3462,PSP,3839,Y,0,CR9 CRJ US,5265,PHX,3462,PVR,1836,,0,320 319 321 US,5265,PHX,3462,RNO,3807,,0,319 320 US,5265,PHX,3462,SAN,3731,,0,320 321 US,5265,PHX,3462,SAT,3621,Y,0,CR9 US,5265,PHX,3462,SBA,3949,Y,0,CRJ CR9 US,5265,PHX,3462,SBP,5768,Y,0,CR9 CRJ US,5265,PHX,3462,SEA,3577,,0,320 321 US,5265,PHX,3462,SFO,3469,,0,320 321 US,5265,PHX,3462,SJC,3748,,0,319 320 US,5265,PHX,3462,SJD,1840,,0,320 319 752 321 US,5265,PHX,3462,SLC,3536,,0,319 321 320 US,5265,PHX,3462,SMF,3817,,0,319 320 321 US,5265,PHX,3462,SNA,3867,,0,319 320 321 US,5265,PHX,3462,STL,3678,,0,319 US,5265,PHX,3462,TPA,3646,,0,320 US,5265,PHX,3462,TUS,3636,Y,0,CR9 CRJ US,5265,PHX,3462,YEG,49,,0,319 320 US,5265,PHX,3462,YUM,3596,Y,0,CRJ US,5265,PHX,3462,YVR,156,,0,319 321 US,5265,PHX,3462,YYC,178,,0,319 US,5265,PHX,3462,ZIH,1856,,0,320 US,5265,PIA,4046,DFW,3670,Y,0,ER4 US,5265,PIA,4046,ORD,3830,,0,ERD US,5265,PIT,3570,BDL,3825,Y,0,ERJ US,5265,PIT,3570,BOS,3448,Y,0,E70 CRJ US,5265,PIT,3570,CLT,3876,,0,319 734 321 320 US,5265,PIT,3570,DCA,3520,Y,0,E75 E70 CRJ US,5265,PIT,3570,DFW,3670,,0,M80 US,5265,PIT,3570,JFK,3797,,0,ER4 US,5265,PIT,3570,LAX,3484,,0,738 US,5265,PIT,3570,LGA,3697,Y,0,E75 CRJ US,5265,PIT,3570,MIA,3576,,0,ER4 US,5265,PIT,3570,ORD,3830,,0,CR7 ER4 E75 US,5265,PIT,3570,PHL,3752,,0,320 319 E90 US,5265,PIT,3570,PHX,3462,,0,319 320 US,5265,PIT,3570,RDU,3626,Y,0,ERJ US,5265,PIT,3570,STL,3678,Y,0,ERJ US,5265,PLS,1754,CLT,3876,,0,321 US,5265,PLS,1754,DFW,3670,,0,738 US,5265,PLS,1754,MIA,3576,,0,757 US,5265,PLS,1754,PHL,3752,,0,319 US,5265,PNS,3564,CLT,3876,Y,0,CR9 US,5265,PNS,3564,DCA,3520,,0,CRJ US,5265,PNS,3564,DFW,3670,,0,M83 M80 US,5265,PNS,3564,MIA,3576,,0,ER4 US,5265,POA,2599,MIA,3576,,0,763 US,5265,POP,1761,MIA,3576,,0,757 US,5265,POS,2902,MIA,3576,,0,757 US,5265,PSP,3839,DFW,3670,,0,M83 M80 US,5265,PSP,3839,ORD,3830,,0,M83 US,5265,PSP,3839,PHX,3462,Y,0,CRJ CR9 US,5265,PTP,2881,MIA,3576,,0,738 US,5265,PTY,1871,DFW,3670,Y,0,738 US,5265,PTY,1871,MIA,3576,,0,738 US,5265,PUJ,1760,CLT,3876,,0,319 752 321 320 US,5265,PUJ,1760,MIA,3576,,0,738 US,5265,PUJ,1760,PHL,3752,,0,319 332 320 US,5265,PVD,3641,CLT,3876,,0,320 321 319 US,5265,PVD,3641,DCA,3520,Y,0,E75 CRJ E70 US,5265,PVD,3641,PHL,3752,,0,E90 US,5265,PVG,3406,ORD,3830,,0,777 US,5265,PVR,1836,DFW,3670,,0,M80 M83 US,5265,PVR,1836,ORD,3830,Y,0,M83 US,5265,PVR,1836,PHX,3462,,0,320 319 321 US,5265,QRO,1838,DFW,3670,Y,0,ERD US,5265,RAP,4087,DFW,3670,Y,0,CRJ ER4 US,5265,RAR,1959,AKL,2006,Y,0,763 320 772 US,5265,RAR,1959,LAX,3484,Y,0,763 US,5265,RDM,4103,LAX,3484,Y,0,CRJ US,5265,RDU,3626,CLT,3876,,0,321 320 734 319 E90 US,5265,RDU,3626,DCA,3520,,0,ERD CRJ US,5265,RDU,3626,DFW,3670,,0,M83 M80 738 US,5265,RDU,3626,JFK,3797,,0,ERD CR7 US,5265,RDU,3626,LAX,3484,,0,738 US,5265,RDU,3626,LGA,3697,,0,CR7 ERD US,5265,RDU,3626,LHR,507,,0,763 US,5265,RDU,3626,MIA,3576,,0,738 US,5265,RDU,3626,ORD,3830,,0,M80 738 US,5265,RDU,3626,PHL,3752,,0,E90 319 US,5265,RDU,3626,PIT,3570,Y,0,ERJ US,5265,REC,2610,MIA,3576,,0,757 US,5265,RIC,3608,BOS,3448,Y,0,CRJ US,5265,RIC,3608,CLT,3876,,0,319 CRJ US,5265,RIC,3608,DFW,3670,,0,M80 M83 US,5265,RIC,3608,LGA,3697,,0,ERD US,5265,RIC,3608,MIA,3576,,0,ER4 US,5265,RIC,3608,ORD,3830,,0,ERD US,5265,RIC,3608,PHL,3752,Y,0,CRJ DH8 US,5265,RNO,3807,DFW,3670,,0,M83 738 US,5265,RNO,3807,LAX,3484,Y,0,CRJ US,5265,RNO,3807,ORD,3830,,0,738 US,5265,RNO,3807,PHX,3462,,0,319 320 US,5265,ROA,4016,CLT,3876,,0,CRJ US,5265,ROA,4016,LGA,3697,Y,0,ERD US,5265,ROA,4016,PHL,3752,Y,0,DH8 US,5265,ROC,3622,BOS,3448,Y,0,CRJ US,5265,ROC,3622,CLT,3876,,0,319 US,5265,ROC,3622,DCA,3520,Y,0,CRJ E70 US,5265,ROC,3622,ORD,3830,,0,ER4 US,5265,ROC,3622,PHL,3752,Y,0,CRJ E70 DH8 E75 US,5265,ROW,3736,DFW,3670,,0,ERD US,5265,RST,4048,ORD,3830,Y,0,ERD ER4 US,5265,RSW,3793,CLT,3876,,0,321 320 319 734 US,5265,RSW,3793,DCA,3520,Y,0,E75 E70 US,5265,RSW,3793,DFW,3670,,0,738 US,5265,RSW,3793,ORD,3830,,0,738 M80 US,5265,RSW,3793,PHL,3752,,0,319 E90 320 US,5265,RTB,1774,DFW,3670,Y,0,738 US,5265,RTB,1774,MIA,3576,,0,738 US,5265,SAF,3784,DFW,3670,,0,ER4 US,5265,SAF,3784,LAX,3484,Y,0,CRJ US,5265,SAL,1892,DFW,3670,,0,E90 US,5265,SAL,1892,IAD,3714,,0,321 319 320 US,5265,SAL,1892,IAH,3550,,0,E90 US,5265,SAL,1892,JFK,3797,,0,320 US,5265,SAL,1892,LAX,3484,,0,320 321 US,5265,SAL,1892,MCO,3878,,0,E90 US,5265,SAL,1892,MIA,3576,,0,320 738 E90 US,5265,SAL,1892,SFO,3469,,0,319 320 US,5265,SAN,3731,CLT,3876,,0,320 321 US,5265,SAN,3731,DCA,3520,,0,319 US,5265,SAN,3731,DFW,3670,,0,M83 M80 738 757 US,5265,SAN,3731,JFK,3797,,0,738 US,5265,SAN,3731,LAX,3484,Y,0,CRJ CR7 US,5265,SAN,3731,MIA,3576,,0,738 US,5265,SAN,3731,ORD,3830,,0,738 US,5265,SAN,3731,PHL,3752,,0,320 US,5265,SAN,3731,PHX,3462,,0,321 320 US,5265,SAP,1772,MIA,3576,,0,738 320 E90 319 US,5265,SAT,3621,CLT,3876,,0,319 US,5265,SAT,3621,DFW,3670,,0,M80 M83 US,5265,SAT,3621,ORD,3830,,0,E75 US,5265,SAT,3621,PHL,3752,,0,E90 US,5265,SAT,3621,PHX,3462,Y,0,CR9 US,5265,SAV,3613,CLT,3876,,0,CR7 CRJ US,5265,SAV,3613,DCA,3520,Y,0,CRJ US,5265,SAV,3613,DFW,3670,,0,ER4 US,5265,SAV,3613,PHL,3752,Y,0,E75 E70 CRJ US,5265,SBA,3949,PHX,3462,Y,0,CR9 CRJ US,5265,SBP,5768,PHX,3462,Y,0,CR9 CRJ US,5265,SBY,3642,CLT,3876,Y,0,DH3 US,5265,SBY,3642,PHL,3752,Y,0,DH8 US,5265,SCE,4318,PHL,3752,Y,0,CRJ DH8 US,5265,SCL,2650,DFW,3670,,0,763 US,5265,SCL,2650,MIA,3576,,0,763 US,5265,SDF,4014,CLT,3876,,0,319 CRJ CR7 US,5265,SDF,4014,DCA,3520,,0,CRJ US,5265,SDF,4014,DFW,3670,,0,M80 ERD M83 319 US,5265,SDF,4014,LGA,3697,,0,ERD US,5265,SDF,4014,MIA,3576,,0,ER4 US,5265,SDF,4014,ORD,3830,,0,ER4 E75 US,5265,SDF,4014,PHL,3752,Y,0,CR9 CRJ US,5265,SDQ,1762,MIA,3576,,0,757 763 US,5265,SDQ,1762,PHL,3752,,0,320 US,5265,SEA,3577,CLT,3876,,0,320 321 319 US,5265,SEA,3577,DFW,3670,,0,738 757 US,5265,SEA,3577,JFK,3797,,0,738 US,5265,SEA,3577,MIA,3576,,0,757 US,5265,SEA,3577,ORD,3830,,0,738 US,5265,SEA,3577,PHL,3752,,0,320 321 US,5265,SEA,3577,PHX,3462,,0,321 320 US,5265,SEA,3577,TPE,2276,,0,744 US,5265,SFO,3469,AKL,2006,Y,0,772 744 US,5265,SFO,3469,CLT,3876,,0,321 US,5265,SFO,3469,DFW,3670,,0,738 757 763 US,5265,SFO,3469,HKG,3077,,0,77W US,5265,SFO,3469,ICN,3930,,0,77W US,5265,SFO,3469,JFK,3797,,0,763 32B US,5265,SFO,3469,LAX,3484,,0,738 US,5265,SFO,3469,MIA,3576,,0,757 763 738 US,5265,SFO,3469,ORD,3830,,0,738 US,5265,SFO,3469,PEK,3364,Y,0,773 US,5265,SFO,3469,PHL,3752,,0,320 321 US,5265,SFO,3469,PHX,3462,,0,321 320 US,5265,SFO,3469,SAL,1892,,0,319 320 US,5265,SFO,3469,TPE,2276,,0,77W US,5265,SGF,4348,DFW,3670,Y,0,ER4 ERD US,5265,SGF,4348,ORD,3830,Y,0,ER4 ERD US,5265,SHV,3609,DFW,3670,Y,0,CRJ ERD ER4 US,5265,SIN,3316,AMS,580,,0,77W 772 US,5265,SIN,3316,FRA,340,,0,388 US,5265,SIN,3316,HKG,3077,,0,77W US,5265,SIN,3316,ICN,3930,,0,77W US,5265,SIN,3316,MUC,346,,0,77W US,5265,SIN,3316,NRT,2279,,0,388 US,5265,SIN,3316,ZRH,1678,,0,388 US,5265,SJC,3748,DFW,3670,,0,M83 US,5265,SJC,3748,LAX,3484,,0,CR7 US,5265,SJC,3748,ORD,3830,,0,738 US,5265,SJC,3748,PHX,3462,,0,320 319 US,5265,SJD,1840,CLT,3876,,0,320 US,5265,SJD,1840,DFW,3670,,0,M80 M83 US,5265,SJD,1840,LAX,3484,,0,M83 738 US,5265,SJD,1840,ORD,3830,,0,M83 738 US,5265,SJD,1840,PHX,3462,,0,320 319 752 321 US,5265,SJO,1885,CLT,3876,,0,319 US,5265,SJO,1885,DFW,3670,Y,0,757 US,5265,SJO,1885,JFK,3797,Y,0,738 US,5265,SJO,1885,MIA,3576,,0,757 738 US,5265,SJT,3708,DFW,3670,,0,ER4 US,5265,SJU,2890,CLT,3876,,0,321 US,5265,SJU,2890,DFW,3670,,0,757 US,5265,SJU,2890,JFK,3797,,0,757 US,5265,SJU,2890,MIA,3576,,0,738 757 US,5265,SJU,2890,ORD,3830,,0,738 US,5265,SJU,2890,PHL,3752,,0,752 762 320 US,5265,SKB,2891,MIA,3576,,0,738 US,5265,SKG,1486,ATH,3941,Y,0,320 US,5265,SKG,1486,MUC,346,Y,0,320 US,5265,SLC,3536,CLT,3876,,0,320 US,5265,SLC,3536,DFW,3670,,0,M80 M83 US,5265,SLC,3536,LAX,3484,,0,CR7 US,5265,SLC,3536,ORD,3830,Y,0,E75 CR7 US,5265,SLC,3536,PHL,3752,,0,320 US,5265,SLC,3536,PHX,3462,,0,320 319 321 US,5265,SLP,1842,DFW,3670,Y,0,ERD US,5265,SMF,3817,CLT,3876,,0,321 US,5265,SMF,3817,DFW,3670,,0,M83 US,5265,SMF,3817,LAX,3484,Y,0,CRJ US,5265,SMF,3817,PHX,3462,,0,320 319 321 US,5265,SNA,3867,DFW,3670,,0,738 US,5265,SNA,3867,ORD,3830,,0,738 US,5265,SNA,3867,PHX,3462,,0,320 319 321 US,5265,SPS,3680,DFW,3670,,0,ERD ER4 US,5265,SRQ,4067,CLT,3876,Y,0,CR9 E75 US,5265,SRQ,4067,DCA,3520,Y,0,CRJ US,5265,SSA,2621,MIA,3576,,0,757 US,5265,STI,1764,MIA,3576,,0,757 738 US,5265,STL,3678,CLT,3876,,0,319 US,5265,STL,3678,DCA,3520,Y,0,CR7 US,5265,STL,3678,DFW,3670,,0,M83 M80 738 US,5265,STL,3678,LAX,3484,,0,M83 US,5265,STL,3678,LGA,3697,Y,0,CR7 US,5265,STL,3678,MIA,3576,,0,738 US,5265,STL,3678,ORD,3830,,0,M80 M83 738 US,5265,STL,3678,PHL,3752,,0,CRJ US,5265,STL,3678,PHX,3462,,0,319 US,5265,STL,3678,PIT,3570,Y,0,ERJ US,5265,STT,2883,CLT,3876,,0,752 762 US,5265,STT,2883,JFK,3797,,0,757 US,5265,STT,2883,MIA,3576,,0,757 US,5265,STT,2883,PHL,3752,,0,752 US,5265,STX,2884,MIA,3576,,0,738 US,5265,SUX,3753,ORD,3830,,0,ERD ER4 US,5265,SVQ,1253,LIS,1638,Y,0,BEH US,5265,SWF,3661,PHL,3752,Y,0,CRJ DH8 US,5265,SXM,2899,CLT,3876,,0,752 319 US,5265,SXM,2899,JFK,3797,,0,757 US,5265,SXM,2899,MIA,3576,,0,757 738 US,5265,SXM,2899,PHL,3752,,0,332 US,5265,SYD,3361,AKL,2006,Y,0,320 772 763 US,5265,SYR,3745,BOS,3448,Y,0,DH8 US,5265,SYR,3745,CLT,3876,,0,320 319 US,5265,SYR,3745,DCA,3520,Y,0,E70 CRJ US,5265,SYR,3745,ORD,3830,,0,ER4 CR7 US,5265,SYR,3745,PHL,3752,Y,0,CRJ E75 DH8 US,5265,TGU,1776,MIA,3576,,0,757 US,5265,TLH,3698,CLT,3876,,0,CR7 CRJ US,5265,TLH,3698,DCA,3520,Y,0,CRJ US,5265,TLH,3698,DFW,3670,,0,ERD US,5265,TLH,3698,MIA,3576,,0,ERD ER4 US,5265,TLV,1590,PHL,3752,,0,332 US,5265,TOL,4040,ORD,3830,,0,ER4 US,5265,TPA,3646,CLT,3876,,0,320 734 321 319 US,5265,TPA,3646,DCA,3520,,0,319 US,5265,TPA,3646,DFW,3670,,0,738 M83 M80 US,5265,TPA,3646,JFK,3797,Y,0,CR7 US,5265,TPA,3646,MIA,3576,,0,738 US,5265,TPA,3646,ORD,3830,,0,738 M83 M80 US,5265,TPA,3646,PHL,3752,,0,734 321 319 320 US,5265,TPA,3646,PHX,3462,,0,320 US,5265,TPE,2276,LAX,3484,,0,77W US,5265,TPE,2276,SEA,3577,,0,744 US,5265,TPE,2276,SFO,3469,,0,77W US,5265,TRC,1845,DFW,3670,,0,ER4 US,5265,TRI,4116,CLT,3876,,0,CRJ US,5265,TUL,3855,DFW,3670,,0,M80 738 M83 757 US,5265,TUL,3855,MIA,3576,,0,738 US,5265,TUL,3855,ORD,3830,,0,738 US,5265,TUS,3636,DFW,3670,,0,M80 M83 US,5265,TUS,3636,LAX,3484,,0,CRJ US,5265,TUS,3636,ORD,3830,,0,M83 M80 US,5265,TUS,3636,PHX,3462,Y,0,CR9 CRJ US,5265,TVC,4023,ORD,3830,Y,0,ERD ER4 US,5265,TXK,3770,DFW,3670,,0,ERD ER4 US,5265,TYR,3848,DFW,3670,,0,ERD ER4 US,5265,TYS,3676,CLT,3876,,0,CRJ CR7 US,5265,TYS,3676,DCA,3520,,0,CRJ US,5265,TYS,3676,DFW,3670,,0,ER4 ERD US,5265,TYS,3676,LGA,3697,,0,ERD US,5265,TYS,3676,ORD,3830,,0,ERD ER4 US,5265,TYS,3676,PHL,3752,,0,CRJ US,5265,UVF,2894,CLT,3876,,0,320 319 US,5265,UVF,2894,MIA,3576,Y,0,757 US,5265,VCE,1551,PHL,3752,,0,332 US,5265,VLC,1246,LIS,1638,Y,0,ER4 100 US,5265,VPS,3873,CLT,3876,,0,CR7 US,5265,VPS,3873,DCA,3520,,0,CRJ US,5265,VPS,3873,DFW,3670,,0,ER4 ERD US,5265,VVI,2771,MIA,3576,,0,757 US,5265,XNA,4356,CLT,3876,,0,CR7 CRJ US,5265,XNA,4356,DFW,3670,,0,ER4 M80 US,5265,XNA,4356,LAX,3484,Y,0,CR7 US,5265,XNA,4356,LGA,3697,,0,CR7 US,5265,XNA,4356,ORD,3830,,0,CR7 ER4 US,5265,YEG,49,PHX,3462,,0,320 319 US,5265,YHZ,73,DCA,3520,Y,0,CRJ US,5265,YHZ,73,PHL,3752,Y,0,E70 CRJ E75 US,5265,YKF,79,ORD,3830,Y,0,ER4 ERD US,5265,YOW,100,CLT,3876,Y,0,CRJ US,5265,YOW,100,PHL,3752,Y,0,CRJ US,5265,YQB,111,PHL,3752,Y,0,CRJ US,5265,YUL,146,AMM,2170,,0,330 US,5265,YUL,146,CLT,3876,Y,0,CRJ US,5265,YUL,146,DCA,3520,Y,0,CRJ US,5265,YUL,146,DFW,3670,,0,738 US,5265,YUL,146,DTW,3645,,0,330 US,5265,YUL,146,JFK,3797,,0,ERD US,5265,YUL,146,LGA,3697,,0,ERD US,5265,YUL,146,MIA,3576,,0,738 US,5265,YUL,146,ORD,3830,,0,CRJ US,5265,YUL,146,PHL,3752,Y,0,CRJ US,5265,YUM,3596,PHX,3462,Y,0,CRJ US,5265,YVR,156,DFW,3670,,0,738 US,5265,YVR,156,PHX,3462,,0,321 319 US,5265,YYC,178,DFW,3670,,0,M83 M80 738 US,5265,YYC,178,PHX,3462,,0,319 US,5265,YYZ,193,CLT,3876,Y,0,E75 CRJ US,5265,YYZ,193,DCA,3520,Y,0,CRJ US,5265,YYZ,193,DFW,3670,,0,319 US,5265,YYZ,193,JFK,3797,,0,CR7 US,5265,YYZ,193,LAX,3484,,0,738 US,5265,YYZ,193,LGA,3697,,0,CR7 US,5265,YYZ,193,MIA,3576,,0,738 US,5265,YYZ,193,ORD,3830,,0,ER4 CR7 US,5265,YYZ,193,PHL,3752,Y,0,E75 CRJ US,5265,ZCL,1855,DFW,3670,Y,0,ERD US,5265,ZIH,1856,PHX,3462,,0,320 US,5265,ZRH,1678,IST,1701,Y,0,320 US,5265,ZRH,1678,JFK,3797,,0,763 US,5265,ZRH,1678,LIS,1638,Y,0,320 319 US,5265,ZRH,1678,PHL,3752,,0,762 US,5265,ZRH,1678,SIN,3316,,0,388 UU,1191,BKK,3885,MAA,3144,,0,738 UU,1191,CDG,1382,RUN,916,,0,77W 77L UU,1191,DZA,915,HAH,912,,0,738 UU,1191,DZA,915,RUN,916,,0,738 77L UU,1191,HAH,912,DZA,915,,0,738 UU,1191,HAH,912,RUN,916,,0,738 UU,1191,JNB,813,RUN,916,,0,738 UU,1191,MAA,3144,BKK,3885,,0,738 UU,1191,MAA,3144,RUN,916,,0,738 UU,1191,MRU,893,RUN,916,,0,AT7 738 77W UU,1191,MRU,893,ZSE,917,,0,AT7 UU,1191,NOS,930,RUN,916,,0,738 UU,1191,RUN,916,CDG,1382,,0,77W 77L UU,1191,RUN,916,DZA,915,,0,738 77L UU,1191,RUN,916,HAH,912,,0,738 UU,1191,RUN,916,JNB,813,,0,738 UU,1191,RUN,916,MAA,3144,,0,738 UU,1191,RUN,916,MRU,893,,0,AT7 738 77W UU,1191,RUN,916,NOS,930,,0,738 UU,1191,RUN,916,TMM,921,,0,AT7 UU,1191,RUN,916,TNR,918,,0,738 AT7 UU,1191,TMM,921,RUN,916,,0,AT7 UU,1191,TNR,918,RUN,916,,0,738 AT7 UU,1191,ZSE,917,MRU,893,,0,AT7 UX,90,ACE,1055,BIO,1216,,0,738 UX,90,ACE,1055,MAD,1229,,0,738 332 UX,90,ACE,1055,OVD,1214,,0,332 UX,90,ACE,1055,SCQ,1243,,0,738 UX,90,AGP,1230,CDG,1382,,0,738 UX,90,AGP,1230,IBZ,1225,,0,738 UX,90,AGP,1230,MAD,1229,,0,ATR 738 UX,90,AGP,1230,PMI,3998,,0,738 UX,90,AGP,1230,SVO,2985,Y,0,32S UX,90,AGP,1230,TFN,1057,,0,738 UX,90,ALC,1212,TFS,1056,,0,738 UX,90,AMS,580,MAD,1229,,0,738 UX,90,BCN,1218,BJZ,1219,,0,ATR UX,90,BCN,1218,CDG,1382,Y,0,32S UX,90,BCN,1218,MAD,1229,,0,332 333 UX,90,BCN,1218,OTP,1657,Y,0,737 UX,90,BCN,1218,PMI,3998,,0,738 E90 UX,90,BCN,1218,PRG,1587,,0,32S UX,90,BCN,1218,SVO,2985,,0,32S UX,90,BCN,1218,TFN,1057,,0,738 UX,90,BIO,1216,ACE,1055,,0,738 UX,90,BIO,1216,CDG,1382,Y,0,E90 UX,90,BIO,1216,IBZ,1225,,0,738 UX,90,BIO,1216,LPA,1054,,0,738 UX,90,BIO,1216,MAD,1229,,0,E90 UX,90,BIO,1216,PMI,3998,,0,738 E90 UX,90,BIO,1216,TFN,1057,,0,738 UX,90,BJZ,1219,BCN,1218,,0,ATR UX,90,BJZ,1219,MAD,1229,,0,ATR UX,90,BRU,302,MAD,1229,,0,E90 UX,90,CCS,2851,MAD,1229,,0,332 UX,90,CDG,1382,AGP,1230,,0,738 UX,90,CDG,1382,BCN,1218,Y,0,32S UX,90,CDG,1382,BIO,1216,Y,0,E90 UX,90,CDG,1382,GOT,687,Y,0,E90 UX,90,CDG,1382,VGO,1250,Y,0,E90 UX,90,CDG,1382,VLC,1246,,0,738 UX,90,CUN,1852,MAD,1229,,0,333 UX,90,DKR,1084,MAD,1229,,0,738 UX,90,EZE,3988,MAD,1229,,0,332 UX,90,FCO,1555,MAD,1229,,0,738 UX,90,FRA,340,MAD,1229,,0,E90 UX,90,FUE,1051,MAD,1229,,0,738 UX,90,GRU,2564,MAD,1229,,0,332 UX,90,GRX,1223,PMI,3998,,0,E90 UX,90,HAV,1909,MAD,1229,,0,332 333 UX,90,IBZ,1225,MAD,1229,,0,E90 738 UX,90,JED,2072,MAD,1229,,0,320 UX,90,JED,2072,RUH,2082,,0,320 UX,90,JFK,3797,MAD,1229,,0,332 UX,90,LCG,1220,MAD,1229,,0,E90 UX,90,LEI,1213,MAD,1229,,0,ATR UX,90,LEI,1213,SVQ,1253,,0,ATR UX,90,LGW,502,MAD,1229,,0,738 UX,90,LIM,2789,MAD,1229,,0,332 UX,90,LIS,1638,MAD,1229,,0,ER4 UX,90,LPA,1054,BIO,1216,,0,738 UX,90,LPA,1054,MAD,1229,,0,738 332 333 UX,90,LPA,1054,SCQ,1243,,0,738 UX,90,LPA,1054,SVQ,1253,,0,738 UX,90,LRM,1759,MAD,1229,,0,333 UX,90,MAD,1229,ACE,1055,,0,738 332 UX,90,MAD,1229,AGP,1230,,0,ATR UX,90,MAD,1229,AMS,580,,0,738 UX,90,MAD,1229,BCN,1218,,0,332 333 UX,90,MAD,1229,BIO,1216,,0,E90 UX,90,MAD,1229,BJZ,1219,,0,ATR UX,90,MAD,1229,BRU,302,,0,E90 UX,90,MAD,1229,CCS,2851,,0,332 UX,90,MAD,1229,CUN,1852,,0,333 UX,90,MAD,1229,DKR,1084,,0,738 UX,90,MAD,1229,EZE,3988,,0,332 UX,90,MAD,1229,FCO,1555,,0,738 UX,90,MAD,1229,FRA,340,,0,E90 UX,90,MAD,1229,FUE,1051,,0,738 UX,90,MAD,1229,GRU,2564,,0,332 UX,90,MAD,1229,HAV,1909,,0,332 333 UX,90,MAD,1229,IBZ,1225,,0,E90 738 UX,90,MAD,1229,JED,2072,,0,320 UX,90,MAD,1229,JFK,3797,,0,332 UX,90,MAD,1229,LCG,1220,,0,E90 UX,90,MAD,1229,LEI,1213,,0,ATR UX,90,MAD,1229,LGW,502,,0,738 UX,90,MAD,1229,LIM,2789,,0,332 UX,90,MAD,1229,LIS,1638,,0,ER4 UX,90,MAD,1229,LPA,1054,,0,332 738 333 UX,90,MAD,1229,LRM,1759,,0,333 UX,90,MAD,1229,MEX,1824,,0,777 UX,90,MAD,1229,MUC,346,,0,E90 UX,90,MAD,1229,MVD,2816,,0,332 UX,90,MAD,1229,MXP,1524,,0,738 UX,90,MAD,1229,ORY,1386,,0,738 E90 UX,90,MAD,1229,OTP,1657,Y,0,737 UX,90,MAD,1229,OVD,1214,,0,ATR UX,90,MAD,1229,PMI,3998,,0,738 E90 UX,90,MAD,1229,PRG,1587,,0,32S UX,90,MAD,1229,PUJ,1760,,0,333 UX,90,MAD,1229,SDQ,1762,,0,332 UX,90,MAD,1229,SSA,2621,,0,332 UX,90,MAD,1229,SVO,2985,Y,0,32S UX,90,MAD,1229,TFN,1057,,0,332 738 UX,90,MAD,1229,VGO,1250,,0,E90 UX,90,MAD,1229,VLC,1246,Y,0,ATR UX,90,MAD,1229,VVI,2771,,0,332 UX,90,MEX,1824,MAD,1229,,0,777 UX,90,MUC,346,MAD,1229,,0,E90 UX,90,MVD,2816,MAD,1229,,0,332 UX,90,MXP,1524,MAD,1229,,0,738 UX,90,ORY,1386,MAD,1229,,0,E90 738 UX,90,ORY,1386,PMI,3998,,0,E90 738 UX,90,OTP,1657,BCN,1218,Y,0,737 UX,90,OTP,1657,MAD,1229,Y,0,737 UX,90,OVD,1214,ACE,1055,,0,332 UX,90,OVD,1214,MAD,1229,,0,ATR UX,90,OVD,1214,TFS,1056,,0,738 UX,90,PMI,3998,BCN,1218,,0,E90 738 UX,90,PMI,3998,BIO,1216,,0,E90 UX,90,PMI,3998,GRX,1223,,0,E90 UX,90,PMI,3998,MAD,1229,,0,738 E90 UX,90,PMI,3998,ORY,1386,,0,E90 738 UX,90,PMI,3998,VLC,1246,,0,E90 ATR UX,90,PMI,3998,ZAZ,1252,,0,E90 UX,90,PRG,1587,BCN,1218,,0,32S UX,90,PRG,1587,MAD,1229,,0,32S UX,90,PUJ,1760,MAD,1229,,0,333 UX,90,RUH,2082,JED,2072,,0,320 UX,90,SCL,2650,SSA,2621,,0,332 UX,90,SCQ,1243,ACE,1055,,0,738 UX,90,SCQ,1243,IBZ,1225,,0,738 UX,90,SCQ,1243,LPA,1054,,0,738 UX,90,SCQ,1243,PMI,3998,,0,738 UX,90,SCQ,1243,TFS,1056,,0,738 UX,90,SDQ,1762,MAD,1229,,0,332 UX,90,SSA,2621,MAD,1229,,0,332 UX,90,SSA,2621,SCL,2650,,0,332 UX,90,SVO,2985,AGP,1230,Y,0,32S UX,90,SVO,2985,BCN,1218,,0,32S UX,90,SVO,2985,MAD,1229,Y,0,32S UX,90,SVQ,1253,LEI,1213,,0,ATR UX,90,SVQ,1253,LPA,1054,,0,738 UX,90,SVQ,1253,PMI,3998,,0,738 UX,90,SVQ,1253,TFN,1057,,0,738 UX,90,TFN,1057,AGP,1230,,0,738 UX,90,TFN,1057,BCN,1218,,0,738 UX,90,TFN,1057,BIO,1216,,0,738 UX,90,TFN,1057,MAD,1229,,0,738 332 UX,90,TFN,1057,SVQ,1253,,0,738 UX,90,TFS,1056,ALC,1212,,0,738 UX,90,TFS,1056,OVD,1214,,0,738 UX,90,TFS,1056,SCQ,1243,,0,738 UX,90,VGO,1250,CDG,1382,Y,0,E90 UX,90,VGO,1250,MAD,1229,,0,E90 UX,90,VLC,1246,CDG,1382,,0,738 UX,90,VLC,1246,MAD,1229,Y,0,ATR UX,90,VLC,1246,PMI,3998,,0,ATR E90 UX,90,VLL,1247,PMI,3998,,0,738 UX,90,VVI,2771,MAD,1229,,0,332 UX,90,ZAZ,1252,PMI,3998,,0,E90 UY,1611,BGW,4130,TBS,3973,,0,M83 UY,1611,EBL,3989,TBS,3973,,0,M83 UY,1611,TBS,3973,BGW,4130,,0,M83 UY,1611,TBS,3973,EBL,3989,,0,M83 V0,1886,BLA,2821,CCS,2851,,0,ATR V0,1886,BNS,2822,CCS,2851,,0,CRJ ATR E90 V0,1886,BOG,2709,CCS,2851,,0,E90 V0,1886,BRM,2824,CCS,2851,,0,E90 V0,1886,BRM,2824,PMV,2850,,0,E90 V0,1886,CAJ,2830,PZO,2856,,0,320 V0,1886,CBS,\N,CCS,2851,,0,ATR V0,1886,CCS,2851,BLA,2821,,0,ATR V0,1886,CCS,2851,BNS,2822,,0,CRJ ATR E90 V0,1886,CCS,2851,BOG,2709,,0,E90 V0,1886,CCS,2851,BRM,2824,,0,E90 V0,1886,CCS,2851,CBS,\N,,0,ATR V0,1886,CCS,2851,CUM,2835,,0,E90 V0,1886,CCS,2851,CZE,2833,,0,E90 V0,1886,CCS,2851,EZE,3988,,0,330 V0,1886,CCS,2851,HAV,1909,,0,E90 V0,1886,CCS,2851,LFR,2846,,0,CRJ V0,1886,CCS,2851,LSP,2844,,0,E90 V0,1886,CCS,2851,MAD,1229,,0,330 V0,1886,CCS,2851,MAR,2848,,0,E90 V0,1886,CCS,2851,MRD,2849,,0,ATR V0,1886,CCS,2851,MUN,2852,,0,E90 V0,1886,CCS,2851,PMV,2850,,0,E90 V0,1886,CCS,2851,PTY,1871,,0,CRJ E90 V0,1886,CCS,2851,PYH,2853,,0,E90 V0,1886,CCS,2851,PZO,2856,,0,E90 V0,1886,CCS,2851,SOM,2864,,0,ATR E90 V0,1886,CCS,2851,STD,2861,,0,E90 V0,1886,CCS,2851,SVZ,2858,,0,CRJ V0,1886,CCS,2851,VIG,6072,,0,E90 V0,1886,CCS,2851,VLV,2870,,0,ATR V0,1886,CUM,2835,CCS,2851,,0,E90 V0,1886,CZE,2833,CCS,2851,,0,E90 V0,1886,EZE,3988,CCS,2851,,0,330 V0,1886,GEO,4304,PZO,2856,,0,E90 V0,1886,GND,2882,PMV,2850,,0,E90 V0,1886,GND,2882,POS,2902,,0,E90 V0,1886,HAV,1909,CCS,2851,,0,E90 V0,1886,LFR,2846,CCS,2851,,0,CRJ V0,1886,LSP,2844,CCS,2851,,0,E90 V0,1886,MAD,1229,CCS,2851,,0,330 V0,1886,MAO,2551,PMV,2850,,0,E90 V0,1886,MAR,2848,CCS,2851,,0,E90 V0,1886,MAR,2848,PBL,2854,,0,E90 V0,1886,MAR,2848,PMV,2850,,0,E90 V0,1886,MGA,1863,PTY,1871,,0,CRJ V0,1886,MRD,2849,CCS,2851,,0,ATR V0,1886,MUN,2852,CCS,2851,,0,E90 V0,1886,MUN,2852,PMV,2850,,0,E90 V0,1886,PBL,2854,MAR,2848,,0,E90 V0,1886,PBL,2854,PMV,2850,,0,E90 V0,1886,PMV,2850,BRM,2824,,0,E90 V0,1886,PMV,2850,CCS,2851,,0,E90 V0,1886,PMV,2850,GND,2882,,0,E90 V0,1886,PMV,2850,MAO,2551,,0,E90 V0,1886,PMV,2850,MAR,2848,,0,E90 V0,1886,PMV,2850,MUN,2852,,0,E90 V0,1886,PMV,2850,PBL,2854,,0,E90 V0,1886,PMV,2850,POS,2902,,0,E90 V0,1886,PMV,2850,PZO,2856,,0,E90 V0,1886,PMV,2850,STD,2861,,0,E90 V0,1886,PMV,2850,VIG,6072,,0,E90 V0,1886,POS,2902,GND,2882,,0,E90 V0,1886,POS,2902,PMV,2850,,0,E90 V0,1886,PTY,1871,CCS,2851,,0,CRJ E90 V0,1886,PTY,1871,MGA,1863,,0,CRJ V0,1886,PYH,2853,CCS,2851,,0,E90 V0,1886,PZO,2856,CAJ,2830,,0,320 V0,1886,PZO,2856,CCS,2851,,0,E90 V0,1886,PZO,2856,GEO,4304,,0,E90 V0,1886,PZO,2856,PMV,2850,,0,E90 V0,1886,PZO,2856,SNV,2860,,0,CRJ V0,1886,SNV,2860,PZO,2856,,0,CRJ V0,1886,SOM,2864,CCS,2851,,0,ATR E90 V0,1886,STD,2861,CCS,2851,,0,E90 V0,1886,STD,2861,PMV,2850,,0,E90 V0,1886,SVZ,2858,CCS,2851,,0,CRJ V0,1886,VIG,6072,CCS,2851,,0,E90 V0,1886,VIG,6072,PMV,2850,,0,E90 V0,1886,VLV,2870,CCS,2851,,0,ATR V3,1669,FCO,1555,KIV,1735,,0,733 V3,1669,FCO,1555,LUZ,8832,,0,100 V3,1669,KIV,1735,FCO,1555,,0,733 V3,1669,KIV,1735,VCE,1551,,0,733 V3,1669,LUZ,8832,FCO,1555,,0,100 V3,1669,VCE,1551,KIV,1735,,0,733 V4,4165,SJU,2890,VQS,6788,,0,CNC V4,4165,VQS,6788,SJU,2890,,0,CNC V7,20577,AGP,1230,BOD,1264,,0,717 V7,20577,AJA,1324,BES,1403,,0,717 V7,20577,AJA,1324,BOD,1264,,0,717 V7,20577,AJA,1324,CFR,1412,,0,717 V7,20577,AJA,1324,LIL,1399,,0,717 V7,20577,AJA,1324,MPL,1359,,0,717 V7,20577,AJA,1324,NTE,1418,,0,717 V7,20577,AJA,1324,SXB,1435,,0,717 V7,20577,AJA,1324,TLS,1273,,0,717 V7,20577,AOI,4309,CTA,1509,,0,717 V7,20577,BES,1403,AJA,1324,,0,717 V7,20577,BES,1403,BIA,1321,,0,717 V7,20577,BIA,1321,BES,1403,,0,717 V7,20577,BIA,1321,BOD,1264,,0,717 V7,20577,BIA,1321,LIL,1399,,0,717 V7,20577,BIA,1321,NTE,1418,,0,717 V7,20577,BIA,1321,SXB,1435,,0,717 V7,20577,BIA,1321,TLS,1273,,0,717 V7,20577,BIO,1216,VCE,1551,,0,717 V7,20577,BIQ,1280,SXB,1435,,0,717 V7,20577,BOD,1264,AGP,1230,,0,717 V7,20577,BOD,1264,AJA,1324,,0,717 V7,20577,BOD,1264,BIA,1321,,0,717 V7,20577,BOD,1264,CLY,1322,,0,717 V7,20577,BOD,1264,FLR,1563,,0,717 V7,20577,BOD,1264,FSC,1323,,0,717 V7,20577,BOD,1264,MUC,346,,0,717 V7,20577,BOD,1264,OLB,1520,,0,717 V7,20577,BOD,1264,PMI,3998,,0,717 V7,20577,BOD,1264,PMO,1512,,0,717 V7,20577,BOD,1264,SXB,1435,,0,717 V7,20577,BOD,1264,TFS,1056,,0,717 V7,20577,BOD,1264,VCE,1551,,0,717 V7,20577,BRI,1501,CTA,1509,,0,717 V7,20577,BRI,1501,PMO,1512,,0,717 V7,20577,BRI,1501,VCE,1551,,0,717 V7,20577,BRI,1501,VRN,1550,,0,717 V7,20577,CFR,1412,AJA,1324,,0,717 V7,20577,CLY,1322,BOD,1264,,0,717 V7,20577,CLY,1322,NTE,1418,,0,717 V7,20577,CTA,1509,AOI,4309,,0,717 V7,20577,CTA,1509,BRI,1501,,0,717 V7,20577,CTA,1509,FLR,1563,,0,717 V7,20577,CTA,1509,GOA,1528,,0,717 V7,20577,CTA,1509,VCE,1551,,0,717 V7,20577,FLR,1563,BOD,1264,,0,717 V7,20577,FLR,1563,CTA,1509,,0,717 V7,20577,FLR,1563,NTE,1418,,0,717 V7,20577,FLR,1563,PMO,1512,,0,717 V7,20577,FSC,1323,BOD,1264,,0,717 V7,20577,FSC,1323,NTE,1418,,0,717 V7,20577,FUE,1051,NTE,1418,,0,717 V7,20577,GOA,1528,CTA,1509,,0,717 V7,20577,GOA,1528,NAP,1561,,0,717 V7,20577,GOA,1528,OLB,1520,,0,717 V7,20577,GOA,1528,PMO,1512,,0,717 V7,20577,JTR,1479,VCE,1551,,0,717 V7,20577,LIL,1399,AJA,1324,,0,717 V7,20577,LIL,1399,BIA,1321,,0,717 V7,20577,LMP,1510,VCE,1551,,0,717 V7,20577,MPL,1359,AJA,1324,,0,717 V7,20577,MPL,1359,NTE,1418,,0,717 V7,20577,MPL,1359,SXB,1435,,0,717 V7,20577,MUC,346,BOD,1264,,0,717 V7,20577,MUC,346,NTE,1418,,0,717 V7,20577,NAP,1561,GOA,1528,,0,717 V7,20577,NAP,1561,NTE,1418,,0,717 V7,20577,NAP,1561,PMO,1512,,0,717 V7,20577,NTE,1418,AJA,1324,,0,717 V7,20577,NTE,1418,BIA,1321,,0,717 V7,20577,NTE,1418,CLY,1322,,0,717 V7,20577,NTE,1418,FLR,1563,,0,717 V7,20577,NTE,1418,FSC,1323,,0,717 V7,20577,NTE,1418,FUE,1051,,0,717 V7,20577,NTE,1418,MPL,1359,,0,717 V7,20577,NTE,1418,MUC,346,,0,717 V7,20577,NTE,1418,NAP,1561,,0,717 V7,20577,NTE,1418,OLB,1520,,0,717 V7,20577,NTE,1418,PGF,1356,,0,717 V7,20577,NTE,1418,PMI,3998,,0,717 V7,20577,NTE,1418,PMO,1512,,0,717 V7,20577,NTE,1418,PRG,1587,,0,717 V7,20577,NTE,1418,SXB,1435,,0,717 V7,20577,NTE,1418,TFS,1056,,0,717 V7,20577,NTE,1418,VCE,1551,,0,717 V7,20577,NTE,1418,VLC,1246,,0,717 V7,20577,OLB,1520,BOD,1264,,0,717 V7,20577,OLB,1520,GOA,1528,,0,717 V7,20577,OLB,1520,NTE,1418,,0,717 V7,20577,OLB,1520,VCE,1551,,0,717 V7,20577,OVD,1214,PMI,3998,,0,717 V7,20577,OVD,1214,VLC,1246,,0,717 V7,20577,PGF,1356,NTE,1418,,0,717 V7,20577,PMI,3998,BOD,1264,,0,717 V7,20577,PMI,3998,NTE,1418,,0,717 V7,20577,PMI,3998,OVD,1214,,0,717 V7,20577,PMO,1512,BOD,1264,,0,717 V7,20577,PMO,1512,BRI,1501,,0,717 V7,20577,PMO,1512,FLR,1563,,0,717 V7,20577,PMO,1512,GOA,1528,,0,717 V7,20577,PMO,1512,NAP,1561,,0,717 V7,20577,PMO,1512,NTE,1418,,0,717 V7,20577,PMO,1512,SXB,1435,,0,717 V7,20577,PMO,1512,TRN,1526,,0,717 V7,20577,PMO,1512,VCE,1551,,0,717 V7,20577,PMO,1512,VRN,1550,,0,717 V7,20577,PNL,1511,VCE,1551,,0,717 V7,20577,PRG,1587,NTE,1418,,0,717 V7,20577,REG,1514,VCE,1551,,0,717 V7,20577,SXB,1435,AJA,1324,,0,717 V7,20577,SXB,1435,BIA,1321,,0,717 V7,20577,SXB,1435,BIQ,1280,,0,717 V7,20577,SXB,1435,BOD,1264,,0,717 V7,20577,SXB,1435,MPL,1359,,0,717 V7,20577,SXB,1435,NTE,1418,,0,717 V7,20577,SXB,1435,PMO,1512,,0,717 V7,20577,TFS,1056,BOD,1264,,0,717 V7,20577,TFS,1056,NTE,1418,,0,717 V7,20577,TLS,1273,AJA,1324,,0,717 V7,20577,TLS,1273,BIA,1321,,0,717 V7,20577,TRN,1526,PMO,1512,,0,717 V7,20577,VCE,1551,BIO,1216,,0,717 V7,20577,VCE,1551,BOD,1264,,0,717 V7,20577,VCE,1551,BRI,1501,,0,717 V7,20577,VCE,1551,CTA,1509,,0,717 V7,20577,VCE,1551,JTR,1479,,0,717 V7,20577,VCE,1551,LMP,1510,,0,717 V7,20577,VCE,1551,NTE,1418,,0,717 V7,20577,VCE,1551,OLB,1520,,0,717 V7,20577,VCE,1551,PMO,1512,,0,717 V7,20577,VCE,1551,PNL,1511,,0,717 V7,20577,VCE,1551,REG,1514,,0,717 V7,20577,VLC,1246,NTE,1418,,0,717 V7,20577,VLC,1246,OVD,1214,,0,717 V7,20577,VRN,1550,BRI,1501,,0,717 V7,20577,VRN,1550,PMO,1512,,0,717 V9,10800,BHD,467,IOM,520,,0,L4T V9,10800,BLK,514,IOM,520,,0,L4T V9,10800,CWL,488,VLY,5574,,0,J31 V9,10800,GLO,472,IOM,520,,0,L4T V9,10800,IOM,520,BHD,467,,0,L4T V9,10800,IOM,520,BLK,514,,0,L4T V9,10800,IOM,520,GLO,472,,0,L4T V9,10800,IOM,520,NCL,521,,0,J31 V9,10800,NCL,521,IOM,520,,0,J31 V9,10800,VLY,5574,CWL,488,,0,J31 VA,5360,ABX,3333,SYD,3361,Y,0,AT7 VA,5360,ADL,3341,AKL,2006,Y,0,320 VA,5360,ADL,3341,BNE,3320,Y,0,E90 73H 73W VA,5360,ADL,3341,CBR,3355,Y,0,E90 VA,5360,ADL,3341,DPS,3940,,0,73H VA,5360,ADL,3341,MEL,3339,Y,0,E90 73H VA,5360,ADL,3341,OOL,3321,Y,0,73H VA,5360,ADL,3341,PER,3351,Y,0,E90 73H VA,5360,ADL,3341,SIN,3316,Y,0,333 VA,5360,ADL,3341,SYD,3361,Y,0,73H 73W E90 VA,5360,AKL,2006,ADL,3341,Y,0,320 VA,5360,AKL,2006,APW,1969,Y,0,73H VA,5360,AKL,2006,BNE,3320,Y,0,73H 772 773 320 763 VA,5360,AKL,2006,CNS,3322,Y,0,320 VA,5360,AKL,2006,MEL,3339,Y,0,73H 773 320 VA,5360,AKL,2006,OOL,3321,Y,0,320 73H VA,5360,AKL,2006,PER,3351,Y,0,772 VA,5360,AKL,2006,RAR,1959,Y,0,73H VA,5360,AKL,2006,SYD,3361,Y,0,763 73H 320 772 VA,5360,AKL,2006,TBU,1963,Y,0,73H VA,5360,ALH,6235,BQB,9090,,0,F50 VA,5360,ALH,6235,PER,3351,,0,F50 VA,5360,APW,1969,AKL,2006,Y,0,73H VA,5360,ATL,3682,CMH,3759,Y,0,73W M88 738 319 VA,5360,ATL,3682,CUN,1852,Y,0,M88 757 320 VA,5360,ATL,3682,CZM,1800,Y,0,319 M88 VA,5360,ATL,3682,IAH,3550,Y,0,M88 717 320 319 VA,5360,ATL,3682,IND,3585,Y,0,M88 320 M90 319 VA,5360,ATL,3682,LAX,3484,Y,0,757 76W 763 739 VA,5360,ATL,3682,MEX,1824,Y,0,73W 738 73H VA,5360,ATL,3682,MIA,3576,Y,0,M88 M90 757 320 73H VA,5360,ATL,3682,SJD,1840,Y,0,73W 738 VA,5360,AUH,2179,ISB,2223,Y,0,320 332 VA,5360,AUH,2179,LHE,2207,Y,0,332 320 77W VA,5360,AUH,2179,MEL,3339,Y,0,77W VA,5360,AUH,2179,PEW,2219,Y,0,320 VA,5360,AUH,2179,SIN,3316,Y,0,332 VA,5360,AUH,2179,SYD,3361,,0,77W VA,5360,AYQ,4010,SYD,3361,Y,0,E90 VA,5360,BDB,4218,BNE,3320,,0,AT7 VA,5360,BME,4319,PER,3351,,0,100 VA,5360,BME,4319,PHE,3349,,0,100 VA,5360,BNE,3320,ADL,3341,Y,0,73H E90 73W VA,5360,BNE,3320,AKL,2006,Y,0,73H 773 772 320 763 VA,5360,BNE,3320,APW,1969,Y,0,73H VA,5360,BNE,3320,BDB,4218,,0,AT7 VA,5360,BNE,3320,CBR,3355,Y,0,E90 73H 73W VA,5360,BNE,3320,CHC,2009,,0,320 VA,5360,BNE,3320,CNJ,6255,Y,0,E90 VA,5360,BNE,3320,CNS,3322,Y,0,73H E90 73W VA,5360,BNE,3320,DPS,3940,,0,73H VA,5360,BNE,3320,DRW,3999,Y,0,73H VA,5360,BNE,3320,DUD,2011,Y,0,73H VA,5360,BNE,3320,EMD,3990,Y,0,AT7 VA,5360,BNE,3320,GLT,6269,,0,AT7 VA,5360,BNE,3320,HBA,3336,Y,0,73H E90 VA,5360,BNE,3320,HIR,4074,Y,0,73H VA,5360,BNE,3320,HTI,6242,Y,0,73W 73H VA,5360,BNE,3320,ISA,3324,Y,0,E90 VA,5360,BNE,3320,LAX,3484,,0,77W VA,5360,BNE,3320,MEL,3339,Y,0,73H 73W E90 VA,5360,BNE,3320,MKY,3326,Y,0,73W 73H E90 VA,5360,BNE,3320,MOV,6301,,0,AT7 VA,5360,BNE,3320,NAN,1960,Y,0,73H VA,5360,BNE,3320,NTL,4320,Y,0,73W E90 73H VA,5360,BNE,3320,PER,3351,Y,0,332 73H VA,5360,BNE,3320,POM,5,Y,0,73H VA,5360,BNE,3320,PPP,3328,Y,0,E90 73H 73W VA,5360,BNE,3320,PQQ,6320,Y,0,AT7 VA,5360,BNE,3320,ROK,3329,Y,0,AT7 E90 73H 73W VA,5360,BNE,3320,SIN,3316,Y,0,333 332 VA,5360,BNE,3320,SYD,3361,Y,0,73H E90 73W VA,5360,BNE,3320,TSV,3330,Y,0,73H E90 73W VA,5360,BNE,3320,VLI,1997,Y,0,73H VA,5360,BNE,3320,WLG,2042,,0,73H VA,5360,BNE,3320,ZQN,2030,Y,0,73H VA,5360,BNK,4291,SYD,3361,Y,0,73H E90 VA,5360,BQB,9090,ALH,6235,,0,F50 VA,5360,BQB,9090,PER,3351,,0,F50 VA,5360,CBR,3355,ADL,3341,Y,0,E90 VA,5360,CBR,3355,BNE,3320,Y,0,73H E90 73W VA,5360,CBR,3355,MEL,3339,Y,0,E90 73H VA,5360,CBR,3355,OOL,3321,Y,0,E90 VA,5360,CBR,3355,SYD,3361,,0,AT7 VA,5360,CCK,6315,XCH,3353,,0,E90 VA,5360,CFS,3356,MEL,3339,Y,0,73H VA,5360,CFS,3356,SYD,3361,Y,0,E90 73H VA,5360,CHC,2009,BNE,3320,,0,320 VA,5360,CHC,2009,MEL,3339,,0,320 73H VA,5360,CHC,2009,OOL,3321,,0,320 VA,5360,CHC,2009,SYD,3361,,0,320 VA,5360,CMH,3759,ATL,3682,Y,0,M88 73W 738 319 VA,5360,CNJ,6255,BNE,3320,Y,0,E90 VA,5360,CNS,3322,AKL,2006,Y,0,320 VA,5360,CNS,3322,BNE,3320,Y,0,73H E90 73W VA,5360,CNS,3322,MEL,3339,Y,0,73H VA,5360,CNS,3322,SYD,3361,Y,0,E90 73H VA,5360,CPT,797,JNB,813,Y,0,772 VA,5360,CUN,1852,ATL,3682,Y,0,757 320 M88 VA,5360,CZM,1800,ATL,3682,Y,0,319 M88 VA,5360,DAD,3196,REP,3035,Y,0,738 VA,5360,DAD,3196,SIN,3316,Y,0,738 VA,5360,DCN,9905,PER,3351,,0,320 100 VA,5360,DPS,3940,ADL,3341,,0,73H VA,5360,DPS,3940,BNE,3320,,0,73H VA,5360,DPS,3940,MEL,3339,,0,73H VA,5360,DPS,3940,PER,3351,Y,0,73H VA,5360,DPS,3940,PHE,3349,,0,100 VA,5360,DPS,3940,SYD,3361,Y,0,73H VA,5360,DRW,3999,BNE,3320,Y,0,73H VA,5360,DRW,3999,MEL,3339,Y,0,73H VA,5360,DRW,3999,PER,3351,Y,0,73H E90 VA,5360,DRW,3999,SIN,3316,Y,0,320 VA,5360,DRW,3999,SYD,3361,Y,0,73H VA,5360,EMD,3990,BNE,3320,Y,0,AT7 VA,5360,EPR,6266,PER,3351,,0,F50 VA,5360,EPR,6266,RVT,7577,,0,F50 VA,5360,GET,6268,PER,3351,,0,F50 100 VA,5360,GLT,6269,BNE,3320,,0,AT7 VA,5360,HBA,3336,BNE,3320,Y,0,73H E90 VA,5360,HBA,3336,MEL,3339,Y,0,73H E90 VA,5360,HBA,3336,SYD,3361,Y,0,73H E90 VA,5360,HIR,4074,BNE,3320,Y,0,73H VA,5360,HKT,3179,PER,3351,Y,0,73H VA,5360,HNL,3728,SYD,3361,Y,0,332 VA,5360,HTI,6242,BNE,3320,Y,0,73W 73H VA,5360,HTI,6242,MEL,3339,,0,73H VA,5360,HTI,6242,SYD,3361,Y,0,73H VA,5360,HVB,4052,SYD,3361,Y,0,E90 73H VA,5360,IAH,3550,ATL,3682,Y,0,M88 717 319 VA,5360,IND,3585,ATL,3682,Y,0,M88 320 M90 VA,5360,ISA,3324,BNE,3320,Y,0,E90 VA,5360,ISB,2223,AUH,2179,Y,0,320 332 VA,5360,JNB,813,CPT,797,Y,0,772 VA,5360,JNB,813,SIN,3316,Y,0,772 VA,5360,KGI,3346,MEL,3339,Y,0,E90 VA,5360,KGI,3346,PER,3351,Y,0,E90 100 VA,5360,KNX,3347,PER,3351,,0,100 VA,5360,KTA,3345,PER,3351,Y,0,E90 73H 100 320 VA,5360,LAX,3484,ATL,3682,Y,0,763 757 73H 76W VA,5360,LAX,3484,BNE,3320,,0,77W VA,5360,LAX,3484,MEL,3339,,0,77W VA,5360,LAX,3484,MSY,3861,Y,0,319 VA,5360,LAX,3484,SYD,3361,,0,77W VA,5360,LEA,3348,PER,3351,,0,100 VA,5360,LHE,2207,AUH,2179,Y,0,346 77W 320 VA,5360,LST,3337,MEL,3339,Y,0,73H E90 VA,5360,LST,3337,SYD,3361,Y,0,73H VA,5360,MAN,478,MUC,346,Y,0,77W VA,5360,MCY,3325,MEL,3339,Y,0,73H VA,5360,MCY,3325,SYD,3361,Y,0,73H VA,5360,MEL,3339,ADL,3341,Y,0,73H E90 VA,5360,MEL,3339,AKL,2006,Y,0,320 73H 773 VA,5360,MEL,3339,AUH,2179,Y,0,77W VA,5360,MEL,3339,BNE,3320,Y,0,73H 73W E90 VA,5360,MEL,3339,CBR,3355,Y,0,E90 73H VA,5360,MEL,3339,CFS,3356,Y,0,73H VA,5360,MEL,3339,CHC,2009,,0,320 73H VA,5360,MEL,3339,CNS,3322,Y,0,73H VA,5360,MEL,3339,DPS,3940,,0,73H VA,5360,MEL,3339,DRW,3999,Y,0,73H VA,5360,MEL,3339,HBA,3336,Y,0,73H E90 VA,5360,MEL,3339,HTI,6242,,0,73H VA,5360,MEL,3339,KGI,3346,Y,0,E90 VA,5360,MEL,3339,LAX,3484,,0,77W VA,5360,MEL,3339,LST,3337,Y,0,E90 73H VA,5360,MEL,3339,MCY,3325,Y,0,73H VA,5360,MEL,3339,MQL,6298,Y,0,E90 VA,5360,MEL,3339,NAN,1960,Y,0,73H VA,5360,MEL,3339,NTL,4320,Y,0,73H E90 VA,5360,MEL,3339,OOL,3321,Y,0,73H VA,5360,MEL,3339,PER,3351,Y,0,332 73H VA,5360,MEL,3339,SIN,3316,Y,0,77W 773 388 333 VA,5360,MEL,3339,SYD,3361,Y,0,73H E90 73W VA,5360,MEL,3339,WLG,2042,,0,320 VA,5360,MEX,1824,ATL,3682,Y,0,73H 73W 738 VA,5360,MIA,3576,ATL,3682,Y,0,M88 757 M90 73H VA,5360,MKY,3326,BNE,3320,Y,0,73H 73W E90 VA,5360,MKY,3326,SYD,3361,Y,0,73H E90 VA,5360,MOV,6301,BNE,3320,,0,AT7 VA,5360,MQL,6298,MEL,3339,Y,0,E90 VA,5360,MSY,3861,LAX,3484,Y,0,319 VA,5360,MUC,346,MAN,478,Y,0,77W VA,5360,MUC,346,SIN,3316,Y,0,77W VA,5360,NAN,1960,BNE,3320,Y,0,73H VA,5360,NAN,1960,MEL,3339,Y,0,73H VA,5360,NAN,1960,SYD,3361,Y,0,73H VA,5360,NTL,4320,BNE,3320,Y,0,73W E90 73H VA,5360,NTL,4320,MEL,3339,Y,0,73H E90 VA,5360,OOL,3321,ADL,3341,Y,0,73H VA,5360,OOL,3321,AKL,2006,Y,0,73H 320 VA,5360,OOL,3321,CBR,3355,Y,0,E90 VA,5360,OOL,3321,CHC,2009,,0,320 VA,5360,OOL,3321,MEL,3339,Y,0,73H VA,5360,OOL,3321,SYD,3361,Y,0,73H E90 VA,5360,PBO,6314,PER,3351,,0,100 VA,5360,PER,3351,ADL,3341,Y,0,E90 73H VA,5360,PER,3351,AKL,2006,Y,0,772 VA,5360,PER,3351,ALH,6235,,0,F50 VA,5360,PER,3351,BME,4319,,0,100 VA,5360,PER,3351,BNE,3320,Y,0,73H 332 VA,5360,PER,3351,BQB,9090,,0,F50 VA,5360,PER,3351,DCN,9905,,0,320 100 VA,5360,PER,3351,DPS,3940,Y,0,73H VA,5360,PER,3351,DRW,3999,Y,0,73H E90 VA,5360,PER,3351,EPR,6266,,0,F50 VA,5360,PER,3351,GET,6268,,0,F50 100 VA,5360,PER,3351,HKT,3179,Y,0,73H VA,5360,PER,3351,KGI,3346,Y,0,E90 100 VA,5360,PER,3351,KNX,3347,,0,100 VA,5360,PER,3351,KTA,3345,Y,0,E90 73H 100 320 VA,5360,PER,3351,LEA,3348,,0,100 VA,5360,PER,3351,MEL,3339,Y,0,332 73H VA,5360,PER,3351,PBO,6314,,0,100 VA,5360,PER,3351,PHE,3349,Y,0,E90 73H 100 VA,5360,PER,3351,RVT,7577,,0,F50 VA,5360,PER,3351,SIN,3316,,0,772 VA,5360,PER,3351,SYD,3361,Y,0,332 73H VA,5360,PER,3351,XCH,3353,,0,E90 73H VA,5360,PER,3351,ZNE,6310,,0,320 VA,5360,PEW,2219,AUH,2179,Y,0,320 VA,5360,PHE,3349,BME,4319,,0,100 VA,5360,PHE,3349,DPS,3940,,0,100 VA,5360,PHE,3349,PER,3351,Y,0,E90 73H 100 VA,5360,PNH,3034,SIN,3316,Y,0,320 VA,5360,POM,5,BNE,3320,Y,0,73H VA,5360,PPP,3328,BNE,3320,Y,0,E90 73H 73W VA,5360,PQQ,6320,BNE,3320,Y,0,AT7 VA,5360,PQQ,6320,SYD,3361,Y,0,AT7 VA,5360,RAR,1959,AKL,2006,Y,0,73H VA,5360,REP,3035,DAD,3196,Y,0,738 VA,5360,REP,3035,PNH,3034,Y,0,320 VA,5360,REP,3035,SIN,3316,Y,0,738 VA,5360,ROK,3329,BNE,3320,,0,AT7 VA,5360,RVT,7577,PER,3351,,0,F50 VA,5360,SIN,3316,ADL,3341,Y,0,333 VA,5360,SIN,3316,AUH,2179,Y,0,332 VA,5360,SIN,3316,BNE,3320,Y,0,333 332 VA,5360,SIN,3316,DAD,3196,Y,0,738 VA,5360,SIN,3316,DRW,3999,Y,0,320 VA,5360,SIN,3316,JNB,813,Y,0,772 VA,5360,SIN,3316,MEL,3339,Y,0,333 77W 388 773 VA,5360,SIN,3316,MUC,346,Y,0,77W VA,5360,SIN,3316,PER,3351,Y,0,333 772 VA,5360,SIN,3316,REP,3035,Y,0,738 320 VA,5360,SIN,3316,SYD,3361,Y,0,388 772 773 VA,5360,SJD,1840,ATL,3682,Y,0,73W 738 VA,5360,SYD,3361,ABX,3333,Y,0,AT7 VA,5360,SYD,3361,ADL,3341,Y,0,73H 73W VA,5360,SYD,3361,AKL,2006,Y,0,763 73H 320 772 VA,5360,SYD,3361,APW,1969,Y,0,73H VA,5360,SYD,3361,AUH,2179,,0,77W VA,5360,SYD,3361,AYQ,4010,Y,0,E90 VA,5360,SYD,3361,BNE,3320,Y,0,73H E90 73W VA,5360,SYD,3361,BNK,4291,Y,0,73H E90 VA,5360,SYD,3361,CBR,3355,,0,AT7 VA,5360,SYD,3361,CFS,3356,Y,0,E90 73H VA,5360,SYD,3361,CHC,2009,,0,320 VA,5360,SYD,3361,CNS,3322,Y,0,73H E90 VA,5360,SYD,3361,DPS,3940,Y,0,73H VA,5360,SYD,3361,DRW,3999,Y,0,73H VA,5360,SYD,3361,HBA,3336,Y,0,73H E90 VA,5360,SYD,3361,HKG,3077,Y,0,346 VA,5360,SYD,3361,HNL,3728,Y,0,332 VA,5360,SYD,3361,HTI,6242,Y,0,73H VA,5360,SYD,3361,HVB,4052,Y,0,E90 73H VA,5360,SYD,3361,LAX,3484,,0,77W VA,5360,SYD,3361,LST,3337,Y,0,73H VA,5360,SYD,3361,MCY,3325,Y,0,73H VA,5360,SYD,3361,MEL,3339,Y,0,73H E90 73W VA,5360,SYD,3361,MKY,3326,Y,0,73H E90 VA,5360,SYD,3361,NAN,1960,Y,0,73H VA,5360,SYD,3361,OOL,3321,Y,0,73H E90 VA,5360,SYD,3361,PER,3351,Y,0,332 73H VA,5360,SYD,3361,PQQ,6320,Y,0,AT7 VA,5360,SYD,3361,SIN,3316,Y,0,773 388 772 VA,5360,SYD,3361,TBU,1963,Y,0,73H VA,5360,SYD,3361,TSV,3330,Y,0,73H VA,5360,SYD,3361,WLG,2042,,0,320 VA,5360,TBU,1963,AKL,2006,Y,0,73H VA,5360,TBU,1963,SYD,3361,Y,0,73H VA,5360,TSV,3330,BNE,3320,Y,0,73H E90 73W VA,5360,TSV,3330,SYD,3361,Y,0,73H VA,5360,VLI,1997,BNE,3320,Y,0,73H VA,5360,WLG,2042,BNE,3320,,0,73H VA,5360,WLG,2042,MEL,3339,,0,320 VA,5360,WLG,2042,SYD,3361,,0,320 VA,5360,XCH,3353,CCK,6315,,0,E90 VA,5360,XCH,3353,PER,3351,,0,E90 73H VA,5360,ZNE,6310,PER,3351,,0,320 VB,10646,ACA,1783,MTY,1825,,0,733 VB,10646,BJX,1815,MTY,1825,,0,733 VB,10646,CJS,1796,GDL,1804,,0,733 VB,10646,CJS,1796,MTY,1825,,0,733 VB,10646,CUL,1792,LAP,1816,,0,733 VB,10646,CUL,1792,MTY,1825,,0,733 VB,10646,CUL,1792,SJD,1840,,0,733 VB,10646,CUL,1792,TIJ,1847,,0,733 VB,10646,CUN,1852,GDL,1804,,0,733 VB,10646,CUN,1852,MEX,1824,,0,733 VB,10646,CUN,1852,MTY,1825,,0,733 VB,10646,CUN,1852,OAX,1829,,0,733 VB,10646,CUN,1852,REX,1839,,0,733 VB,10646,CUN,1852,TAM,1848,,0,733 VB,10646,CUN,1852,TGZ,1846,,0,733 VB,10646,CUN,1852,TRC,1845,,0,733 VB,10646,CUN,1852,VER,1854,,0,733 VB,10646,CUN,1852,VSA,1853,,0,733 VB,10646,CUU,1797,MTY,1825,,0,733 VB,10646,GDL,1804,CJS,1796,,0,733 VB,10646,GDL,1804,CUN,1852,,0,733 VB,10646,GDL,1804,HMO,1807,,0,733 VB,10646,GDL,1804,LAP,1816,,0,733 VB,10646,GDL,1804,MEX,1824,,0,733 VB,10646,GDL,1804,MID,1819,,0,733 VB,10646,GDL,1804,MTY,1825,,0,733 VB,10646,GDL,1804,REX,1839,,0,733 VB,10646,GDL,1804,SJD,1840,,0,733 VB,10646,GDL,1804,TGZ,1846,,0,733 VB,10646,GDL,1804,TRC,1845,,0,733 VB,10646,GDL,1804,VER,1854,,0,733 VB,10646,GDL,1804,VSA,1853,,0,733 VB,10646,HMO,1807,GDL,1804,,0,733 VB,10646,HMO,1807,MTY,1825,,0,733 VB,10646,IAH,3550,MTY,1825,,0,733 VB,10646,LAP,1816,CUL,1792,,0,733 VB,10646,LAP,1816,GDL,1804,,0,733 VB,10646,LAP,1816,MTY,1825,,0,733 VB,10646,LAP,1816,MZT,1826,,0,733 VB,10646,MEX,1824,CUN,1852,,0,733 VB,10646,MEX,1824,GDL,1804,,0,733 VB,10646,MEX,1824,MTY,1825,,0,733 VB,10646,MEX,1824,MZT,1826,,0,733 VB,10646,MEX,1824,PVR,1836,,0,733 VB,10646,MEX,1824,PXM,1837,,0,733 VB,10646,MEX,1824,REX,1839,,0,733 VB,10646,MEX,1824,TRC,1845,,0,733 VB,10646,MID,1819,GDL,1804,,0,733 VB,10646,MID,1819,MTY,1825,,0,733 VB,10646,MTY,1825,ACA,1783,,0,733 VB,10646,MTY,1825,BJX,1815,,0,733 VB,10646,MTY,1825,CJS,1796,,0,733 VB,10646,MTY,1825,CUL,1792,,0,733 VB,10646,MTY,1825,CUN,1852,,0,733 VB,10646,MTY,1825,CUU,1797,,0,733 VB,10646,MTY,1825,GDL,1804,,0,733 VB,10646,MTY,1825,HMO,1807,,0,733 VB,10646,MTY,1825,IAH,3550,,0,733 VB,10646,MTY,1825,LAP,1816,,0,733 VB,10646,MTY,1825,MEX,1824,,0,733 VB,10646,MTY,1825,MID,1819,,0,733 VB,10646,MTY,1825,MZT,1826,,0,733 VB,10646,MTY,1825,OAX,1829,,0,733 VB,10646,MTY,1825,PVR,1836,,0,733 VB,10646,MTY,1825,QRO,1838,,0,733 VB,10646,MTY,1825,SJD,1840,,0,733 VB,10646,MTY,1825,TAM,1848,,0,733 VB,10646,MTY,1825,TGZ,1846,,0,733 VB,10646,MTY,1825,VER,1854,,0,733 VB,10646,MTY,1825,VSA,1853,,0,733 VB,10646,MZT,1826,LAP,1816,,0,733 VB,10646,MZT,1826,MEX,1824,,0,733 VB,10646,MZT,1826,MTY,1825,,0,733 VB,10646,OAX,1829,CUN,1852,,0,733 VB,10646,OAX,1829,MTY,1825,,0,733 VB,10646,PVR,1836,MEX,1824,,0,733 VB,10646,PVR,1836,MTY,1825,,0,733 VB,10646,PXM,1837,MEX,1824,,0,733 VB,10646,QRO,1838,MTY,1825,,0,733 VB,10646,REX,1839,CUN,1852,,0,733 VB,10646,REX,1839,GDL,1804,,0,733 VB,10646,REX,1839,MEX,1824,,0,733 VB,10646,REX,1839,VER,1854,,0,733 VB,10646,SJD,1840,CUL,1792,,0,733 VB,10646,SJD,1840,GDL,1804,,0,733 VB,10646,SJD,1840,MTY,1825,,0,733 VB,10646,TAM,1848,CUN,1852,,0,733 VB,10646,TAM,1848,MTY,1825,,0,733 VB,10646,TGZ,1846,CUN,1852,,0,733 VB,10646,TGZ,1846,GDL,1804,,0,733 VB,10646,TGZ,1846,MTY,1825,,0,733 VB,10646,TIJ,1847,CUL,1792,,0,733 VB,10646,TRC,1845,CUN,1852,,0,733 VB,10646,TRC,1845,GDL,1804,,0,733 VB,10646,TRC,1845,MEX,1824,,0,733 VB,10646,VER,1854,CUN,1852,,0,733 VB,10646,VER,1854,GDL,1804,,0,733 VB,10646,VER,1854,MTY,1825,,0,733 VB,10646,VER,1854,REX,1839,,0,733 VB,10646,VSA,1853,CUN,1852,,0,733 VB,10646,VSA,1853,GDL,1804,,0,733 VB,10646,VSA,1853,MTY,1825,,0,733 VF,5297,CGK,3275,SIN,3316,,0,320 VF,5297,DPS,3940,SIN,3316,,0,320 VF,5297,SIN,3316,CGK,3275,,0,320 VF,5297,SIN,3316,DPS,3940,,0,320 VF,5297,SIN,3316,SUB,3928,,0,320 VF,5297,SUB,3928,SIN,3316,,0,320 VH,9666,BRM,2824,CCS,2851,,0,M82 M80 VH,9666,CCS,2851,BRM,2824,,0,M82 M80 VH,9666,CCS,2851,MAR,2848,,0,M80 VH,9666,CCS,2851,MUN,2852,,0,M82 M80 VH,9666,CCS,2851,PMV,2850,,0,M80 VH,9666,CCS,2851,PZO,2856,,0,M82 M80 VH,9666,MAR,2848,CCS,2851,,0,M80 VH,9666,MUN,2852,CCS,2851,,0,M82 M80 VH,9666,PMV,2850,CCS,2851,,0,M80 VH,9666,PMV,2850,VLN,2868,,0,M80 VH,9666,PZO,2856,CCS,2851,,0,M82 M80 VH,9666,VLN,2868,PMV,2850,,0,M80 VJ,5651,BKK,3885,HAN,3199,,0,320 VJ,5651,BKK,3885,SGN,3205,,0,320 VJ,5651,BMV,6187,HAN,3199,,0,320 VJ,5651,BMV,6187,SGN,3205,,0,320 VJ,5651,CXR,6189,HAN,3199,,0,320 VJ,5651,CXR,6189,SGN,3205,,0,320 VJ,5651,DAD,3196,HAN,3199,,0,320 VJ,5651,DAD,3196,SGN,3205,,0,320 VJ,5651,DLI,4153,HAN,3199,,0,320 VJ,5651,DLI,4153,SGN,3205,,0,320 VJ,5651,HAN,3199,BKK,3885,,0,320 VJ,5651,HAN,3199,BMV,6187,,0,320 VJ,5651,HAN,3199,CXR,6189,,0,320 VJ,5651,HAN,3199,DAD,3196,,0,320 VJ,5651,HAN,3199,DLI,4153,,0,320 VJ,5651,HAN,3199,HUI,3201,,0,320 VJ,5651,HAN,3199,SGN,3205,,0,320 VJ,5651,HPH,6188,SGN,3205,,0,320 VJ,5651,HUI,3201,HAN,3199,,0,320 VJ,5651,HUI,3201,SGN,3205,,0,320 VJ,5651,PQC,3204,SGN,3205,,0,320 VJ,5651,SGN,3205,BKK,3885,,0,320 VJ,5651,SGN,3205,BMV,6187,,0,320 VJ,5651,SGN,3205,CXR,6189,,0,320 VJ,5651,SGN,3205,DAD,3196,,0,320 VJ,5651,SGN,3205,DLI,4153,,0,320 VJ,5651,SGN,3205,HAN,3199,,0,320 VJ,5651,SGN,3205,HPH,6188,,0,320 VJ,5651,SGN,3205,HUI,3201,,0,320 VJ,5651,SGN,3205,PQC,3204,,0,320 VJ,5651,SGN,3205,UIH,6193,,0,320 VJ,5651,SGN,3205,VII,6195,,0,320 VJ,5651,UIH,6193,SGN,3205,,0,320 VJ,5651,VII,6195,SGN,3205,,0,320 VN,5309,AUH,2179,KUL,3304,Y,0,77W VN,5309,AUH,2179,SGN,3205,Y,0,332 VN,5309,BKK,3885,HAN,3199,,0,321 VN,5309,BKK,3885,NBO,4059,Y,0,767 VN,5309,BKK,3885,PNH,3034,,0,321 VN,5309,BKK,3885,SGN,3205,,0,321 VN,5309,BMV,6187,DAD,3196,,0,AT7 VN,5309,BMV,6187,HAN,3199,,0,321 VN,5309,BMV,6187,SGN,3205,,0,AT7 321 VN,5309,CAH,4156,SGN,3205,Y,0,AT7 VN,5309,CAN,3370,DAD,3196,,0,321 VN,5309,CAN,3370,HAN,3199,,0,321 VN,5309,CAN,3370,SGN,3205,,0,321 VN,5309,CDG,1382,HAN,3199,,0,777 VN,5309,CDG,1382,SGN,3205,,0,777 VN,5309,CGK,3275,SGN,3205,,0,321 VN,5309,CTU,3395,DAD,3196,,0,321 VN,5309,CTU,3395,HAN,3199,,0,321 VN,5309,CXR,6189,DAD,3196,,0,321 VN,5309,CXR,6189,DME,4029,,0,332 330 VN,5309,CXR,6189,HAN,3199,,0,321 VN,5309,CXR,6189,SGN,3205,,0,321 332 330 VN,5309,DAD,3196,BMV,6187,,0,AT7 VN,5309,DAD,3196,CAN,3370,,0,321 VN,5309,DAD,3196,CTU,3395,,0,321 VN,5309,DAD,3196,CXR,6189,,0,321 VN,5309,DAD,3196,DLI,4153,,0,AT7 VN,5309,DAD,3196,HAN,3199,,0,321 VN,5309,DAD,3196,HGH,3386,,0,321 VN,5309,DAD,3196,HPH,6188,,0,AT7 VN,5309,DAD,3196,ICN,3930,,0,321 VN,5309,DAD,3196,PVG,3406,,0,321 VN,5309,DAD,3196,PXU,6194,,0,AT7 VN,5309,DAD,3196,REP,3035,,0,AT7 VN,5309,DAD,3196,SGN,3205,,0,321 VN,5309,DAD,3196,VII,6195,,0,AT7 VN,5309,DAD,3196,WNZ,6392,,0,321 VN,5309,DAD,3196,XMN,3383,,0,321 VN,5309,DIN,6192,HAN,3199,,0,AT7 VN,5309,DLI,4153,DAD,3196,,0,AT7 VN,5309,DLI,4153,HAN,3199,,0,321 VN,5309,DLI,4153,SGN,3205,,0,321 VN,5309,DME,4029,CXR,6189,,0,332 330 VN,5309,DME,4029,HAN,3199,,0,330 VN,5309,DME,4029,SGN,3205,,0,332 330 VN,5309,FOC,3385,SGN,3205,,0,321 VN,5309,FRA,340,HAN,3199,,0,777 VN,5309,FRA,340,MAD,1229,,0,738 VN,5309,FRA,340,SGN,3205,,0,777 VN,5309,FUK,2305,HAN,3199,,0,321 VN,5309,FUK,2305,SGN,3205,,0,321 VN,5309,HAN,3199,BKK,3885,,0,321 VN,5309,HAN,3199,BMV,6187,,0,321 VN,5309,HAN,3199,CAN,3370,,0,321 VN,5309,HAN,3199,CDG,1382,,0,777 VN,5309,HAN,3199,CTU,3395,,0,321 VN,5309,HAN,3199,CXR,6189,,0,321 VN,5309,HAN,3199,DAD,3196,,0,321 VN,5309,HAN,3199,DIN,6192,,0,AT7 VN,5309,HAN,3199,DLI,4153,,0,321 VN,5309,HAN,3199,DME,4029,,0,330 VN,5309,HAN,3199,FRA,340,,0,777 VN,5309,HAN,3199,FUK,2305,,0,321 VN,5309,HAN,3199,HKG,3077,,0,321 VN,5309,HAN,3199,HUI,3201,,0,321 VN,5309,HAN,3199,ICN,3930,,0,321 330 332 VN,5309,HAN,3199,KHH,2264,,0,321 VN,5309,HAN,3199,KIX,3992,,0,321 VN,5309,HAN,3199,KUL,3304,,0,321 VN,5309,HAN,3199,LPQ,3115,,0,AT7 VN,5309,HAN,3199,NGO,3942,,0,321 VN,5309,HAN,3199,NRT,2279,,0,330 777 VN,5309,HAN,3199,PEK,3364,,0,321 777 VN,5309,HAN,3199,PNH,3034,,0,321 VN,5309,HAN,3199,PQC,3204,,0,321 VN,5309,HAN,3199,PUS,2372,,0,321 VN,5309,HAN,3199,PVG,3406,,0,321 VN,5309,HAN,3199,PXU,6194,,0,AT7 VN,5309,HAN,3199,REP,3035,,0,321 VN,5309,HAN,3199,RGN,3239,,0,321 VN,5309,HAN,3199,SGN,3205,,0,321 777 330 332 VN,5309,HAN,3199,SIN,3316,,0,321 VN,5309,HAN,3199,TBB,4158,,0,AT7 VN,5309,HAN,3199,TPE,2276,,0,321 VN,5309,HAN,3199,UIH,6193,,0,321 VN,5309,HAN,3199,VCA,6191,,0,321 VN,5309,HAN,3199,VCL,4157,,0,AT7 VN,5309,HAN,3199,VDH,4154,,0,AT7 VN,5309,HAN,3199,VII,6195,,0,AT7 321 VN,5309,HAN,3199,VTE,3120,,0,321 VN,5309,HGH,3386,DAD,3196,,0,321 VN,5309,HKG,3077,HAN,3199,,0,321 VN,5309,HKG,3077,SGN,3205,,0,321 330 VN,5309,HPH,6188,DAD,3196,,0,AT7 VN,5309,HPH,6188,SGN,3205,,0,321 VN,5309,HUI,3201,HAN,3199,,0,321 VN,5309,HUI,3201,SGN,3205,,0,321 VN,5309,ICN,3930,DAD,3196,,0,321 VN,5309,ICN,3930,HAN,3199,,0,332 321 330 VN,5309,ICN,3930,SGN,3205,,0,332 321 330 VN,5309,KHH,2264,HAN,3199,,0,321 VN,5309,KHH,2264,SGN,3205,,0,321 VN,5309,KIX,3992,HAN,3199,,0,321 VN,5309,KIX,3992,SGN,3205,,0,332 VN,5309,KUL,3304,HAN,3199,,0,321 VN,5309,KUL,3304,SGN,3205,,0,321 VN,5309,LPQ,3115,HAN,3199,,0,AT7 VN,5309,LPQ,3115,REP,3035,,0,AT7 VN,5309,MAD,1229,FRA,340,,0,738 VN,5309,MEL,3339,SGN,3205,,0,330 VN,5309,MNL,2397,SGN,3205,Y,0,320 VN,5309,NBO,4059,BKK,3885,Y,0,767 VN,5309,NGO,3942,HAN,3199,,0,321 VN,5309,NGO,3942,SGN,3205,,0,321 VN,5309,NRT,2279,HAN,3199,,0,330 777 VN,5309,NRT,2279,SGN,3205,,0,330 777 321 VN,5309,PEK,3364,HAN,3199,,0,321 777 VN,5309,PNH,3034,BKK,3885,,0,321 VN,5309,PNH,3034,HAN,3199,,0,321 VN,5309,PNH,3034,SGN,3205,,0,321 VN,5309,PNH,3034,VTE,3120,,0,321 VN,5309,PQC,3204,HAN,3199,,0,321 VN,5309,PQC,3204,SGN,3205,,0,321 AT7 VN,5309,PQC,3204,VCA,6191,,0,AT7 VN,5309,PUS,2372,HAN,3199,,0,321 VN,5309,PUS,2372,SGN,3205,,0,321 VN,5309,PVG,3406,DAD,3196,,0,321 VN,5309,PVG,3406,HAN,3199,,0,321 VN,5309,PVG,3406,SGN,3205,,0,321 VN,5309,PXU,6194,DAD,3196,,0,AT7 VN,5309,PXU,6194,HAN,3199,,0,AT7 VN,5309,PXU,6194,SGN,3205,,0,AT7 VN,5309,REP,3035,DAD,3196,,0,AT7 VN,5309,REP,3035,HAN,3199,,0,321 VN,5309,REP,3035,LPQ,3115,,0,AT7 VN,5309,REP,3035,SGN,3205,,0,321 VN,5309,RGN,3239,HAN,3199,,0,321 VN,5309,RGN,3239,SGN,3205,,0,321 VN,5309,SGN,3205,AUH,2179,Y,0,332 VN,5309,SGN,3205,BKK,3885,,0,321 VN,5309,SGN,3205,BMV,6187,,0,AT7 321 VN,5309,SGN,3205,CAH,4156,Y,0,AT7 VN,5309,SGN,3205,CAN,3370,,0,321 VN,5309,SGN,3205,CDG,1382,,0,777 VN,5309,SGN,3205,CGK,3275,,0,321 VN,5309,SGN,3205,CXR,6189,,0,332 321 330 VN,5309,SGN,3205,DAD,3196,,0,321 VN,5309,SGN,3205,DLI,4153,,0,321 VN,5309,SGN,3205,DME,4029,,0,332 330 VN,5309,SGN,3205,FOC,3385,,0,321 VN,5309,SGN,3205,FRA,340,,0,777 VN,5309,SGN,3205,FUK,2305,,0,321 VN,5309,SGN,3205,HAN,3199,,0,321 330 777 332 VN,5309,SGN,3205,HKG,3077,,0,321 330 VN,5309,SGN,3205,HPH,6188,,0,321 VN,5309,SGN,3205,HUI,3201,,0,321 VN,5309,SGN,3205,ICN,3930,,0,321 330 332 VN,5309,SGN,3205,KHH,2264,,0,321 VN,5309,SGN,3205,KIX,3992,,0,332 321 VN,5309,SGN,3205,KUL,3304,,0,321 VN,5309,SGN,3205,MEL,3339,,0,330 VN,5309,SGN,3205,MNL,2397,Y,0,320 VN,5309,SGN,3205,NGO,3942,,0,321 VN,5309,SGN,3205,NRT,2279,,0,330 777 321 VN,5309,SGN,3205,PNH,3034,,0,321 VN,5309,SGN,3205,PQC,3204,,0,321 AT7 VN,5309,SGN,3205,PUS,2372,,0,321 VN,5309,SGN,3205,PVG,3406,,0,321 VN,5309,SGN,3205,PXU,6194,,0,AT7 VN,5309,SGN,3205,REP,3035,,0,321 VN,5309,SGN,3205,RGN,3239,,0,321 VN,5309,SGN,3205,SIN,3316,,0,321 VN,5309,SGN,3205,SYD,3361,,0,330 VN,5309,SGN,3205,TBB,4158,Y,0,AT7 VN,5309,SGN,3205,THD,9135,,0,321 VN,5309,SGN,3205,TPE,2276,,0,321 VN,5309,SGN,3205,UIH,6193,,0,321 VN,5309,SGN,3205,VCL,4157,Y,0,AT7 VN,5309,SGN,3205,VCS,6190,Y,0,AT7 VN,5309,SGN,3205,VDH,4154,,0,321 VN,5309,SGN,3205,VII,6195,,0,321 VN,5309,SGN,3205,VKG,4155,,0,AT7 VN,5309,SIN,3316,HAN,3199,,0,321 VN,5309,SIN,3316,SGN,3205,,0,321 VN,5309,SYD,3361,SGN,3205,,0,330 VN,5309,TBB,4158,HAN,3199,,0,AT7 VN,5309,TBB,4158,SGN,3205,Y,0,AT7 VN,5309,THD,9135,SGN,3205,,0,321 VN,5309,TPE,2276,HAN,3199,,0,321 VN,5309,TPE,2276,SGN,3205,,0,321 VN,5309,UIH,6193,HAN,3199,,0,321 VN,5309,UIH,6193,SGN,3205,,0,321 VN,5309,VCA,6191,HAN,3199,,0,321 VN,5309,VCA,6191,PQC,3204,,0,AT7 VN,5309,VCA,6191,VCS,6190,Y,0,AT7 VN,5309,VCL,4157,HAN,3199,,0,AT7 VN,5309,VCL,4157,SGN,3205,Y,0,AT7 VN,5309,VCS,6190,SGN,3205,Y,0,AT7 VN,5309,VCS,6190,VCA,6191,Y,0,AT7 VN,5309,VDH,4154,HAN,3199,,0,AT7 321 VN,5309,VDH,4154,SGN,3205,,0,321 VN,5309,VII,6195,DAD,3196,,0,AT7 VN,5309,VII,6195,HAN,3199,,0,AT7 321 VN,5309,VII,6195,SGN,3205,,0,321 VN,5309,VII,6195,VTE,3120,,0,AT7 VN,5309,VKG,4155,SGN,3205,,0,AT7 VN,5309,VTE,3120,HAN,3199,,0,321 VN,5309,VTE,3120,PNH,3034,,0,321 VN,5309,VTE,3120,VII,6195,,0,AT7 VN,5309,WNZ,6392,DAD,3196,,0,321 VN,5309,XMN,3383,DAD,3196,,0,321 VQ,11948,CGP,3069,DAC,3076,,0,ER4 VQ,11948,CXB,3068,DAC,3076,,0,ER4 VQ,11948,DAC,3076,CGP,3069,,0,ER4 VQ,11948,DAC,3076,CXB,3068,,0,ER4 VQ,11948,DAC,3076,JSR,3071,,0,ER4 VQ,11948,DAC,3076,ZYL,3074,,0,ER4 VQ,11948,JSR,3071,DAC,3076,,0,ER4 VQ,11948,ZYL,3074,DAC,3076,,0,ER4 VR,5041,AMS,580,VXE,1106,,0,738 VR,5041,BOS,3448,RAI,5674,,0,752 VR,5041,BVC,1103,LIS,1638,,0,738 VR,5041,BVC,1103,RAI,5674,,0,AT7 VR,5041,BVC,1103,SID,1102,,0,AT7 VR,5041,CDG,1382,RAI,5674,,0,752 VR,5041,CDG,1382,VXE,1106,,0,752 VR,5041,DKR,1084,RAI,5674,,0,AT7 VR,5041,FOR,2559,RAI,5674,,0,752 VR,5041,LIS,1638,BVC,1103,,0,738 VR,5041,LIS,1638,RAI,5674,,0,738 VR,5041,LIS,1638,SID,1102,,0,752 VR,5041,LIS,1638,VXE,1106,,0,738 VR,5041,MMO,1104,RAI,5674,,0,AT7 VR,5041,RAI,5674,BOS,3448,,0,752 VR,5041,RAI,5674,BVC,1103,,0,AT7 VR,5041,RAI,5674,CDG,1382,,0,752 VR,5041,RAI,5674,DKR,1084,,0,AT7 VR,5041,RAI,5674,FOR,2559,,0,752 VR,5041,RAI,5674,LIS,1638,,0,738 VR,5041,RAI,5674,MMO,1104,,0,AT7 VR,5041,RAI,5674,SFL,5675,,0,AT7 VR,5041,RAI,5674,SID,1102,,0,AT7 738 752 VR,5041,RAI,5674,VXE,1106,,0,AT7 VR,5041,SFL,5675,RAI,5674,,0,AT7 VR,5041,SID,1102,AMS,580,,0,738 VR,5041,SID,1102,BVC,1103,,0,AT7 VR,5041,SID,1102,CDG,1382,,0,752 VR,5041,SID,1102,LIS,1638,,0,752 VR,5041,SID,1102,RAI,5674,,0,AT7 752 738 VR,5041,SID,1102,SNE,1105,,0,AT7 VR,5041,SID,1102,VXE,1106,,0,AT7 VR,5041,SNE,1105,SID,1102,,0,AT7 VR,5041,SNE,1105,VXE,1106,,0,AT7 VR,5041,VXE,1106,LIS,1638,,0,738 VR,5041,VXE,1106,RAI,5674,,0,AT7 738 VR,5041,VXE,1106,SID,1102,,0,AT7 752 VR,5041,VXE,1106,SNE,1105,,0,AT7 VS,5347,ABQ,4019,ATL,3682,Y,0,757 320 VS,5347,ABZ,532,LHR,507,Y,0,320 VS,5347,ANU,2874,LGW,502,,0,333 VS,5347,ANU,2874,UVF,2894,,0,333 VS,5347,ATL,3682,ABQ,4019,Y,0,757 VS,5347,ATL,3682,AUS,3673,Y,0,M90 M88 VS,5347,ATL,3682,BHM,3811,Y,0,M88 VS,5347,ATL,3682,BNA,3690,Y,0,319 320 M88 738 73H 717 VS,5347,ATL,3682,BOS,3448,Y,0,M90 757 320 738 M88 319 VS,5347,ATL,3682,CHS,3806,Y,0,M88 320 73W 717 319 VS,5347,ATL,3682,CLT,3876,Y,0,M88 M90 319 VS,5347,ATL,3682,CUN,1852,Y,0,M88 VS,5347,ATL,3682,CVG,3488,Y,0,M88 738 VS,5347,ATL,3682,DAL,3502,Y,0,CRJ VS,5347,ATL,3682,DEN,3751,Y,0,757 M90 VS,5347,ATL,3682,DFW,3670,Y,0,M88 738 VS,5347,ATL,3682,DTW,3645,Y,0,M90 757 VS,5347,ATL,3682,EWR,3494,Y,0,717 319 VS,5347,ATL,3682,FLL,3533,Y,0,M90 757 VS,5347,ATL,3682,GDL,1804,Y,0,320 VS,5347,ATL,3682,HOU,3566,Y,0,M88 VS,5347,ATL,3682,IAD,3714,Y,0,M88 320 319 CR7 VS,5347,ATL,3682,IAH,3550,Y,0,717 320 M88 VS,5347,ATL,3682,IND,3585,Y,0,M88 M90 VS,5347,ATL,3682,JAX,3712,Y,0,757 VS,5347,ATL,3682,JFK,3797,Y,0,319 752 738 M88 73H VS,5347,ATL,3682,LAS,3877,Y,0,757 753 738 VS,5347,ATL,3682,LAX,3484,Y,0,763 757 739 VS,5347,ATL,3682,LHR,507,Y,0,764 77L 76W VS,5347,ATL,3682,MAN,478,Y,0,76W VS,5347,ATL,3682,MCI,3458,Y,0,M90 757 VS,5347,ATL,3682,MCO,3878,Y,0,757 763 739 VS,5347,ATL,3682,MEM,3473,Y,0,M88 VS,5347,ATL,3682,MEX,1824,Y,0,73W 73H VS,5347,ATL,3682,MIA,3576,Y,0,757 320 VS,5347,ATL,3682,MSY,3861,Y,0,M88 M90 757 VS,5347,ATL,3682,MTY,1825,Y,0,CR9 VS,5347,ATL,3682,OKC,3863,Y,0,M88 VS,5347,ATL,3682,ORD,3830,Y,0,757 319 320 M90 M88 717 VS,5347,ATL,3682,PBI,3722,Y,0,757 VS,5347,ATL,3682,PHX,3462,Y,0,73H 757 739 738 VS,5347,ATL,3682,PNS,3564,Y,0,M90 VS,5347,ATL,3682,RDU,3626,Y,0,M88 739 320 738 M90 VS,5347,ATL,3682,RSW,3793,Y,0,757 M88 VS,5347,ATL,3682,SAN,3731,Y,0,763 739 VS,5347,ATL,3682,SAT,3621,Y,0,M90 757 VS,5347,ATL,3682,SAV,3613,Y,0,M88 717 319 VS,5347,ATL,3682,SDF,4014,Y,0,M88 M90 VS,5347,ATL,3682,SFO,3469,Y,0,763 739 757 VS,5347,ATL,3682,SJC,3748,Y,0,738 VS,5347,ATL,3682,SJU,2890,Y,0,757 VS,5347,ATL,3682,SMF,3817,Y,0,757 VS,5347,ATL,3682,SRQ,4067,Y,0,M90 757 VS,5347,ATL,3682,STL,3678,Y,0,717 M90 757 M88 VS,5347,ATL,3682,TPA,3646,Y,0,757 739 M90 VS,5347,ATL,3682,TUL,3855,Y,0,CR7 M88 CR9 VS,5347,ATL,3682,TUS,3636,Y,0,M90 VS,5347,AUS,3673,ATL,3682,Y,0,M90 M88 VS,5347,BGI,2875,LGW,502,,0,333 744 VS,5347,BGI,2875,MAN,478,,0,744 VS,5347,BHM,3811,ATL,3682,Y,0,M88 VS,5347,BNA,3690,ATL,3682,Y,0,M88 738 319 320 717 VS,5347,BOM,2997,LHR,507,,0,333 VS,5347,BOS,3448,ATL,3682,Y,0,M90 757 M88 320 319 VS,5347,BOS,3448,LHR,507,,0,764 333 VS,5347,CHS,3806,ATL,3682,Y,0,717 73W M88 319 VS,5347,CLT,3876,ATL,3682,Y,0,M90 M88 VS,5347,CUN,1852,ATL,3682,Y,0,757 320 M88 VS,5347,CUN,1852,LGW,502,,0,744 VS,5347,CVG,3488,ATL,3682,Y,0,M88 738 320 319 VS,5347,DAL,3502,ATL,3682,Y,0,CRJ VS,5347,DEL,3093,LHR,507,,0,333 346 VS,5347,DEN,3751,ATL,3682,Y,0,757 M90 738 VS,5347,DFW,3670,ATL,3682,Y,0,M88 319 VS,5347,DTW,3645,ATL,3682,Y,0,M88 73H 757 320 738 739 VS,5347,DTW,3645,LHR,507,,0,76W 77L VS,5347,DXB,2188,LHR,507,,0,333 VS,5347,EDI,535,LHR,507,Y,0,320 VS,5347,EWR,3494,ATL,3682,Y,0,717 319 VS,5347,EWR,3494,LHR,507,,0,346 333 VS,5347,FLL,3533,ATL,3682,Y,0,757 M90 VS,5347,GDL,1804,ATL,3682,Y,0,320 VS,5347,GLA,534,MCO,3878,,0,744 VS,5347,GND,2882,UVF,2894,,0,333 VS,5347,HAV,1909,LGW,502,,0,744 VS,5347,HKG,3077,LHR,507,,0,346 VS,5347,HND,2359,LHR,507,,0,77W VS,5347,HOU,3566,ATL,3682,Y,0,M88 VS,5347,IAD,3714,ATL,3682,Y,0,320 M88 319 CR7 VS,5347,IAD,3714,LHR,507,,0,333 VS,5347,IAH,3550,ATL,3682,Y,0,M88 717 319 VS,5347,IND,3585,ATL,3682,Y,0,M88 320 M90 VS,5347,JAX,3712,ATL,3682,Y,0,757 739 VS,5347,JFK,3797,ATL,3682,Y,0,752 319 738 757 M88 VS,5347,JFK,3797,LHR,507,,0,333 346 744 VS,5347,JFK,3797,MSY,3861,Y,0,CR9 VS,5347,JNB,813,LHR,507,,0,346 VS,5347,LAS,3877,ATL,3682,Y,0,739 757 738 VS,5347,LAS,3877,LGW,502,,0,744 VS,5347,LAS,3877,MAN,478,,0,744 VS,5347,LAX,3484,ATL,3682,Y,0,763 757 VS,5347,LAX,3484,LHR,507,,0,346 343 744 VS,5347,LGW,502,ANU,2874,,0,333 VS,5347,LGW,502,BGI,2875,,0,333 744 VS,5347,LGW,502,CUN,1852,,0,744 VS,5347,LGW,502,HAV,1909,,0,744 VS,5347,LGW,502,LAS,3877,,0,744 VS,5347,LGW,502,MBJ,1780,,0,744 VS,5347,LGW,502,MCO,3878,,0,744 VS,5347,LGW,502,PEK,3364,,0,330 VS,5347,LGW,502,UVF,2894,,0,333 VS,5347,LHR,507,ABZ,532,Y,0,320 VS,5347,LHR,507,ATL,3682,Y,0,764 77L 76W VS,5347,LHR,507,BOM,2997,,0,333 VS,5347,LHR,507,BOS,3448,,0,333 764 VS,5347,LHR,507,DEL,3093,,0,333 VS,5347,LHR,507,DTW,3645,,0,76W 77L VS,5347,LHR,507,DXB,2188,,0,333 VS,5347,LHR,507,EDI,535,Y,0,320 VS,5347,LHR,507,EWR,3494,,0,333 346 VS,5347,LHR,507,HKG,3077,,0,346 VS,5347,LHR,507,HND,2359,,0,77W VS,5347,LHR,507,IAD,3714,,0,333 VS,5347,LHR,507,JFK,3797,,0,346 744 333 VS,5347,LHR,507,JNB,813,,0,346 VS,5347,LHR,507,LAX,3484,,0,346 343 744 VS,5347,LHR,507,LOS,273,,0,346 VS,5347,LHR,507,MAN,478,Y,0,320 VS,5347,LHR,507,MIA,3576,,0,744 333 VS,5347,LHR,507,MSP,3858,,0,764 VS,5347,LHR,507,NRT,2279,,0,346 343 VS,5347,LHR,507,ORD,3830,,0,343 VS,5347,LHR,507,PEK,3364,Y,0,773 VS,5347,LHR,507,PVG,3406,,0,346 VS,5347,LHR,507,SEA,3577,,0,76W VS,5347,LHR,507,SFO,3469,,0,744 VS,5347,LHR,507,SIN,3316,Y,0,388 77W VS,5347,LHR,507,VKO,2988,Y,0,73H 73G 738 VS,5347,LOS,273,LHR,507,,0,346 VS,5347,MAN,478,ATL,3682,Y,0,76W VS,5347,MAN,478,BGI,2875,,0,744 VS,5347,MAN,478,LAS,3877,,0,744 VS,5347,MAN,478,LHR,507,Y,0,320 VS,5347,MAN,478,MCO,3878,,0,744 VS,5347,MAN,478,MUC,346,Y,0,77W VS,5347,MBJ,1780,LGW,502,,0,744 VS,5347,MCI,3458,ATL,3682,Y,0,M88 M90 757 VS,5347,MCO,3878,ATL,3682,Y,0,76W 757 739 VS,5347,MCO,3878,GLA,534,,0,744 VS,5347,MCO,3878,LGW,502,,0,744 VS,5347,MCO,3878,MAN,478,,0,744 VS,5347,MEM,3473,ATL,3682,Y,0,M88 320 VS,5347,MEX,1824,ATL,3682,Y,0,73H 73W 738 VS,5347,MIA,3576,ATL,3682,Y,0,M88 757 M90 73H VS,5347,MIA,3576,LHR,507,,0,744 333 VS,5347,MSP,3858,LHR,507,,0,764 VS,5347,MSY,3861,ATL,3682,Y,0,M90 757 M88 VS,5347,MSY,3861,DTW,3645,Y,0,319 CR9 CR7 M88 VS,5347,MSY,3861,JFK,3797,Y,0,CR9 VS,5347,MTY,1825,ATL,3682,Y,0,CR9 VS,5347,MUC,346,MAN,478,Y,0,77W VS,5347,MUC,346,SIN,3316,Y,0,77W VS,5347,NRT,2279,LHR,507,,0,346 VS,5347,OKC,3863,ATL,3682,Y,0,M88 CR9 VS,5347,ORD,3830,ATL,3682,Y,0,717 M88 319 VS,5347,ORD,3830,LHR,507,,0,343 VS,5347,PBI,3722,ATL,3682,Y,0,757 M90 VS,5347,PEK,3364,LGW,502,,0,330 VS,5347,PEK,3364,LHR,507,Y,0,773 VS,5347,PHX,3462,ATL,3682,Y,0,757 739 VS,5347,PNS,3564,ATL,3682,Y,0,M90 VS,5347,PVG,3406,LHR,507,,0,346 VS,5347,RDU,3626,ATL,3682,Y,0,M90 M88 320 739 VS,5347,RSW,3793,ATL,3682,Y,0,M90 757 M88 VS,5347,SAN,3731,ATL,3682,Y,0,73H 763 739 VS,5347,SAT,3621,ATL,3682,Y,0,757 M90 320 VS,5347,SAV,3613,ATL,3682,Y,0,M88 717 319 VS,5347,SDF,4014,ATL,3682,Y,0,M88 M90 VS,5347,SEA,3577,LHR,507,,0,76W VS,5347,SFO,3469,ATL,3682,Y,0,763 739 757 VS,5347,SFO,3469,LHR,507,,0,744 VS,5347,SIN,3316,LHR,507,Y,0,77W 388 VS,5347,SIN,3316,MUC,346,Y,0,77W VS,5347,SJU,2890,ATL,3682,Y,0,73H 757 753 VS,5347,SMF,3817,ATL,3682,Y,0,757 VS,5347,SRQ,4067,ATL,3682,Y,0,M90 VS,5347,STL,3678,ATL,3682,Y,0,M90 717 M88 319 VS,5347,SYD,3361,HKG,3077,,0,346 VS,5347,TPA,3646,ATL,3682,Y,0,757 739 VS,5347,TUL,3855,ATL,3682,Y,0,CR7 CR9 M88 VS,5347,TUS,3636,ATL,3682,Y,0,M90 VS,5347,UVF,2894,ANU,2874,,0,333 VS,5347,UVF,2894,GND,2882,,0,333 VS,5347,UVF,2894,LGW,502,,0,333 VS,5347,VKO,2988,LHR,507,Y,0,73H 73G 738 VT,692,AHE,5889,PPT,4075,,0,ATR VT,692,AHE,5889,XMH,1978,,0,ATR VT,692,AUQ,5890,NHV,1987,,0,ATR DHT VT,692,AUQ,5890,PPT,4075,,0,ATR VT,692,AUQ,5890,UAH,5892,,0,DHT VT,692,AUQ,5890,UAP,5891,,0,DHT VT,692,AXR,1984,KKR,1980,,0,ATR VT,692,BOB,1989,HUH,1991,,0,ATR VT,692,BOB,1989,MAU,1994,,0,ATR VT,692,BOB,1989,MOZ,1992,,0,ATR VT,692,BOB,1989,PPT,4075,,0,ATR VT,692,BOB,1989,RFP,1995,,0,ATR VT,692,BOB,1989,RGI,1990,,0,ATR VT,692,BOB,1989,TIH,1975,,0,ATR VT,692,FAV,1977,PPT,4075,,0,ATR VT,692,FAV,1977,RGI,1990,,0,ATR VT,692,GMR,1979,PPT,4075,,0,ATR VT,692,HOI,1993,GMR,1979,,0,ATR VT,692,HOI,1993,MKP,1981,,0,ATR VT,692,HUH,1991,BOB,1989,,0,ATR VT,692,HUH,1991,MOZ,1992,,0,ATR VT,692,HUH,1991,PPT,4075,,0,ATR VT,692,HUH,1991,RFP,1995,,0,ATR VT,692,KHZ,\N,KXU,\N,,0,ATR VT,692,KKR,1980,PPT,4075,,0,ATR VT,692,KXU,\N,PPT,4075,,0,ATR VT,692,MAU,1994,BOB,1989,,0,ATR VT,692,MAU,1994,PPT,4075,,0,ATR VT,692,MAU,1994,RFP,1995,,0,ATR VT,692,MKP,1981,PPT,4075,,0,ATR VT,692,MOZ,1992,BOB,1989,,0,ATR VT,692,MOZ,1992,HUH,1991,,0,ATR VT,692,MOZ,1992,PPT,4075,,0,ATR DHT VT,692,MOZ,1992,RFP,1995,,0,ATR VT,692,MVT,1985,PPT,4075,,0,ATR VT,692,MVT,1985,RGI,1990,,0,ATR VT,692,NHV,1987,AUQ,5890,,0,ATR DHT VT,692,NHV,1987,PPT,4075,,0,ATR VT,692,NHV,1987,UAH,5892,,0,DHT VT,692,NHV,1987,UAP,5891,,0,DHT VT,692,PPT,4075,AHE,5889,,0,ATR VT,692,PPT,4075,AUQ,5890,,0,ATR VT,692,PPT,4075,AXR,1984,,0,ATR VT,692,PPT,4075,BOB,1989,,0,ATR VT,692,PPT,4075,FAV,1977,,0,ATR VT,692,PPT,4075,HOI,1993,,0,ATR VT,692,PPT,4075,HUH,1991,,0,ATR VT,692,PPT,4075,MAU,1994,,0,ATR VT,692,PPT,4075,MOZ,1992,,0,ATR DHT VT,692,PPT,4075,MVT,1985,,0,ATR VT,692,PPT,4075,NHV,1987,,0,ATR VT,692,PPT,4075,RAR,1959,,0,ATR VT,692,PPT,4075,RFP,1995,,0,ATR VT,692,PPT,4075,RGI,1990,,0,ATR VT,692,PPT,4075,RKA,\N,,0,ATR VT,692,PPT,4075,RMT,6926,,0,ATR VT,692,PPT,4075,RUR,1971,,0,ATR VT,692,PPT,4075,RVV,7456,,0,ATR VT,692,PPT,4075,TIH,1975,,0,ATR VT,692,PPT,4075,TKX,1986,,0,ATR VT,692,PPT,4075,TUB,1972,,0,ATR VT,692,PPT,4075,XMH,1978,,0,ATR VT,692,RAR,1959,PPT,4075,,0,ATR VT,692,RFP,1995,BOB,1989,,0,ATR VT,692,RFP,1995,HUH,1991,,0,ATR VT,692,RFP,1995,MAU,1994,,0,ATR VT,692,RFP,1995,PPT,4075,,0,ATR VT,692,RGI,1990,FAV,1977,,0,ATR VT,692,RGI,1990,MVT,1985,,0,ATR VT,692,RGI,1990,PPT,4075,,0,ATR VT,692,RGI,1990,TIH,1975,,0,ATR VT,692,RGI,1990,XMH,1978,,0,ATR VT,692,RKA,\N,KHZ,\N,,0,ATR VT,692,RMT,6926,PPT,4075,,0,ATR VT,692,RMT,6926,RUR,1971,,0,ATR VT,692,RUR,1971,PPT,4075,,0,ATR VT,692,RUR,1971,RMT,6926,,0,ATR VT,692,RVV,7456,PPT,4075,,0,ATR VT,692,RVV,7456,TUB,1972,,0,ATR VT,692,TIH,1975,PPT,4075,,0,ATR VT,692,TIH,1975,RGI,1990,,0,ATR VT,692,TKP,1983,TKX,1986,,0,ATR VT,692,TKX,1986,AHE,5889,,0,ATR VT,692,TKX,1986,PPT,4075,,0,ATR VT,692,TKX,1986,TKP,1983,,0,ATR VT,692,TUB,1972,PPT,4075,,0,ATR VT,692,TUB,1972,RUR,1971,,0,ATR VT,692,TUB,1972,RVV,7456,,0,ATR VT,692,UAH,5892,AUQ,5890,,0,DHT VT,692,UAH,5892,NHV,1987,,0,DHT VT,692,UAH,5892,UAP,5891,,0,DHT VT,692,UAP,5891,AUQ,5890,,0,DHT VT,692,UAP,5891,NHV,1987,,0,DHT ATR VT,692,UAP,5891,UAH,5892,,0,DHT VT,692,XMH,1978,AHE,5889,,0,ATR VT,692,XMH,1978,PPT,4075,,0,ATR VT,692,XMH,1978,RGI,1990,,0,ATR VW,1290,ACA,1783,MEX,1824,,0,ATR VW,1290,AUS,3673,MEX,1824,,0,CRJ VW,1290,CLQ,1808,MEX,1824,,0,ATR VW,1290,CVM,1798,MEX,1824,,0,ATR VW,1290,DGO,1801,MEX,1824,,0,CRJ VW,1290,JAL,5837,MEX,1824,,0,ATR VW,1290,LZC,1813,MEX,1824,,0,ATR VW,1290,MAM,1818,MEX,1824,,0,ATR CRJ VW,1290,MEX,1824,ACA,1783,,0,ATR VW,1290,MEX,1824,AUS,3673,,0,CRJ VW,1290,MEX,1824,CLQ,1808,,0,ATR VW,1290,MEX,1824,CVM,1798,,0,ATR VW,1290,MEX,1824,DGO,1801,,0,CRJ VW,1290,MEX,1824,JAL,5837,,0,ATR VW,1290,MEX,1824,LZC,1813,,0,ATR VW,1290,MEX,1824,MAM,1818,,0,ATR CRJ VW,1290,MEX,1824,MFE,3826,,0,CRJ VW,1290,MEX,1824,MLM,1821,,0,ATR VW,1290,MEX,1824,PAZ,1830,,0,ATR VW,1290,MEX,1824,PDS,1834,,0,CRJ ATR VW,1290,MEX,1824,PXM,1837,,0,ATR VW,1290,MEX,1824,SLP,1842,,0,ATR VW,1290,MEX,1824,TPQ,1802,,0,CRJ ATR VW,1290,MEX,1824,VER,1854,,0,ATR VW,1290,MEX,1824,ZIH,1856,,0,ATR VW,1290,MEX,1824,ZLO,1858,,0,ATR VW,1290,MFE,3826,MEX,1824,,0,CRJ VW,1290,MFE,3826,SLP,1842,,0,ATR VW,1290,MLM,1821,MEX,1824,,0,ATR VW,1290,PAZ,1830,MEX,1824,,0,ATR VW,1290,PAZ,1830,REX,1839,,0,ATR VW,1290,PAZ,1830,VSA,1853,,0,ATR VW,1290,PDS,1834,MEX,1824,,0,CRJ ATR VW,1290,PXM,1837,MEX,1824,,0,ATR VW,1290,REX,1839,PAZ,1830,,0,ATR VW,1290,SLP,1842,MEX,1824,,0,ATR VW,1290,SLP,1842,MFE,3826,,0,ATR VW,1290,TPQ,1802,MEX,1824,,0,CRJ ATR VW,1290,VER,1854,MEX,1824,,0,ATR VW,1290,VSA,1853,PAZ,1830,,0,ATR VW,1290,ZIH,1856,MEX,1824,,0,ATR VW,1290,ZLO,1858,MEX,1824,,0,ATR VX,5331,AUS,3673,SFO,3469,,0,319 VX,5331,BOS,3448,LAX,3484,,0,319 320 VX,5331,BOS,3448,SFO,3469,,0,320 VX,5331,CUN,1852,LAX,3484,,0,320 VX,5331,CUN,1852,SFO,3469,,0,320 VX,5331,DCA,3520,SFO,3469,,0,320 VX,5331,DFW,3670,LAX,3484,,0,319 320 VX,5331,DFW,3670,SFO,3469,,0,319 320 VX,5331,EWR,3494,LAX,3484,,0,320 VX,5331,EWR,3494,SFO,3469,,0,320 VX,5331,FLL,3533,LAX,3484,,0,320 VX,5331,FLL,3533,SFO,3469,,0,320 VX,5331,IAD,3714,LAX,3484,,0,320 319 VX,5331,IAD,3714,SFO,3469,,0,319 320 VX,5331,JFK,3797,LAS,3877,,0,320 VX,5331,JFK,3797,LAX,3484,,0,320 VX,5331,JFK,3797,SFO,3469,,0,320 VX,5331,LAS,3877,JFK,3797,,0,320 VX,5331,LAS,3877,LAX,3484,,0,320 VX,5331,LAS,3877,SFO,3469,,0,320 319 VX,5331,LAX,3484,BOS,3448,,0,320 319 VX,5331,LAX,3484,CUN,1852,,0,320 VX,5331,LAX,3484,DFW,3670,,0,319 320 VX,5331,LAX,3484,EWR,3494,,0,320 VX,5331,LAX,3484,FLL,3533,,0,320 VX,5331,LAX,3484,IAD,3714,,0,320 319 VX,5331,LAX,3484,JFK,3797,,0,320 VX,5331,LAX,3484,LAS,3877,,0,320 VX,5331,LAX,3484,MCO,3878,,0,320 VX,5331,LAX,3484,ORD,3830,,0,320 VX,5331,LAX,3484,PHL,3752,,0,319 320 VX,5331,LAX,3484,SEA,3577,,0,319 320 VX,5331,LAX,3484,SFO,3469,,0,320 319 VX,5331,LAX,3484,SJC,3748,,0,320 VX,5331,MCO,3878,LAX,3484,,0,320 VX,5331,MCO,3878,SFO,3469,,0,320 VX,5331,ORD,3830,LAX,3484,,0,320 VX,5331,ORD,3830,SFO,3469,,0,320 VX,5331,PDX,3720,SFO,3469,,0,320 VX,5331,PHL,3752,LAX,3484,,0,320 319 VX,5331,PHL,3752,SFO,3469,,0,319 VX,5331,PVR,1836,SFO,3469,,0,320 VX,5331,SAN,3731,SFO,3469,,0,319 320 VX,5331,SEA,3577,LAX,3484,,0,320 319 VX,5331,SEA,3577,SFO,3469,,0,319 320 VX,5331,SFO,3469,AUS,3673,,0,319 VX,5331,SFO,3469,BOS,3448,,0,320 VX,5331,SFO,3469,CUN,1852,,0,320 VX,5331,SFO,3469,DCA,3520,,0,320 VX,5331,SFO,3469,DFW,3670,,0,320 319 VX,5331,SFO,3469,EWR,3494,,0,320 VX,5331,SFO,3469,FLL,3533,,0,320 VX,5331,SFO,3469,IAD,3714,,0,320 319 VX,5331,SFO,3469,JFK,3797,,0,320 VX,5331,SFO,3469,LAS,3877,,0,319 320 VX,5331,SFO,3469,LAX,3484,,0,320 319 VX,5331,SFO,3469,MCO,3878,,0,320 VX,5331,SFO,3469,ORD,3830,,0,320 VX,5331,SFO,3469,PDX,3720,,0,320 VX,5331,SFO,3469,PHL,3752,,0,319 VX,5331,SFO,3469,PVR,1836,,0,320 VX,5331,SFO,3469,SAN,3731,,0,319 320 VX,5331,SFO,3469,SEA,3577,,0,320 319 VX,5331,SFO,3469,SJD,1840,,0,320 VX,5331,SJC,3748,LAX,3484,,0,320 VX,5331,SJD,1840,SFO,3469,,0,320 VY,2439,AAL,628,BCN,1218,,0,320 VY,2439,ACE,1055,BCN,1218,,0,320 VY,2439,ACE,1055,BIO,1216,,0,320 VY,2439,AGP,1230,AMS,580,,0,320 VY,2439,AGP,1230,BCN,1218,,0,320 VY,2439,AGP,1230,BIO,1216,,0,320 VY,2439,AGP,1230,BRU,302,,0,320 VY,2439,AGP,1230,CPH,609,,0,320 VY,2439,AGP,1230,CWL,488,,0,320 VY,2439,AGP,1230,DME,4029,,0,320 VY,2439,AGP,1230,FCO,1555,,0,320 VY,2439,AGP,1230,HAJ,352,,0,320 VY,2439,AGP,1230,HAM,342,,0,320 VY,2439,AGP,1230,LPA,1054,,0,320 VY,2439,AGP,1230,LYS,1335,,0,320 VY,2439,AGP,1230,MUC,346,,0,320 VY,2439,AGP,1230,NTE,1418,,0,320 VY,2439,AGP,1230,ORY,1386,,0,320 VY,2439,AGP,1230,OVD,1214,,0,320 VY,2439,AGP,1230,PMI,3998,,0,320 VY,2439,AGP,1230,SCQ,1243,,0,320 VY,2439,AGP,1230,TFN,1057,,0,320 VY,2439,AGP,1230,TLS,1273,,0,320 VY,2439,ALC,1212,AMS,580,,0,320 VY,2439,ALC,1212,BCN,1218,,0,320 VY,2439,ALC,1212,BIO,1216,,0,320 VY,2439,ALC,1212,BRU,302,,0,320 VY,2439,ALC,1212,CPH,609,,0,320 VY,2439,ALC,1212,CWL,488,,0,320 VY,2439,ALC,1212,DME,4029,,0,320 VY,2439,ALC,1212,FCO,1555,,0,320 VY,2439,ALC,1212,IBZ,1225,,0,320 VY,2439,ALC,1212,ORN,231,,0,320 VY,2439,ALC,1212,ORY,1386,,0,320 VY,2439,ALC,1212,PMI,3998,,0,320 VY,2439,ALG,210,BCN,1218,,0,320 VY,2439,AMS,580,AGP,1230,,0,320 VY,2439,AMS,580,ALC,1212,,0,320 VY,2439,AMS,580,BCN,1218,,0,320 VY,2439,AMS,580,BIO,1216,,0,320 VY,2439,AMS,580,IBZ,1225,,0,320 VY,2439,AMS,580,PMI,3998,,0,320 VY,2439,AMS,580,SVQ,1253,,0,320 VY,2439,AMS,580,VLC,1246,,0,320 VY,2439,ARN,737,BCN,1218,,0,320 VY,2439,ATH,3941,BCN,1218,,0,320 VY,2439,BCN,1218,AAL,628,,0,320 VY,2439,BCN,1218,ACE,1055,,0,320 VY,2439,BCN,1218,AGP,1230,,0,320 VY,2439,BCN,1218,ALC,1212,,0,320 VY,2439,BCN,1218,ALG,210,,0,320 VY,2439,BCN,1218,AMS,580,,0,320 VY,2439,BCN,1218,ARN,737,,0,320 VY,2439,BCN,1218,ATH,3941,,0,320 VY,2439,BCN,1218,BES,1403,,0,320 VY,2439,BCN,1218,BGO,636,,0,320 VY,2439,BCN,1218,BIO,1216,,0,320 VY,2439,BCN,1218,BJL,1050,,0,320 VY,2439,BCN,1218,BLQ,1538,,0,320 VY,2439,BCN,1218,BOD,1264,,0,320 VY,2439,BCN,1218,BRI,1501,,0,320 VY,2439,BCN,1218,BRU,302,,0,320 VY,2439,BCN,1218,CDG,1382,,0,320 319 VY,2439,BCN,1218,CMN,1074,,0,320 VY,2439,BCN,1218,CPH,609,,0,320 VY,2439,BCN,1218,CTA,1509,,0,320 VY,2439,BCN,1218,CWL,488,,0,320 VY,2439,BCN,1218,DBV,1200,,0,320 VY,2439,BCN,1218,DKR,1084,,0,320 VY,2439,BCN,1218,DME,4029,,0,320 VY,2439,BCN,1218,DRS,338,,0,319 320 VY,2439,BCN,1218,DTM,373,,0,319 VY,2439,BCN,1218,DUS,345,,0,320 VY,2439,BCN,1218,EAS,1242,,0,319 VY,2439,BCN,1218,EDI,535,,0,320 VY,2439,BCN,1218,FCO,1555,,0,320 VY,2439,BCN,1218,FEZ,1066,,0,320 VY,2439,BCN,1218,FLR,1563,,0,319 VY,2439,BCN,1218,FRA,340,,0,320 VY,2439,BCN,1218,FUE,1051,,0,320 VY,2439,BCN,1218,GOA,1528,,0,320 VY,2439,BCN,1218,GOT,687,,0,320 VY,2439,BCN,1218,GRX,1223,,0,320 VY,2439,BCN,1218,HAJ,352,,0,320 VY,2439,BCN,1218,HAM,342,,0,320 VY,2439,BCN,1218,HEL,421,,0,320 VY,2439,BCN,1218,IBZ,1225,,0,320 VY,2439,BCN,1218,IEV,2944,,0,320 VY,2439,BCN,1218,LCG,1220,,0,320 VY,2439,BCN,1218,LED,2948,,0,320 VY,2439,BCN,1218,LEI,1213,,0,320 VY,2439,BCN,1218,LEJ,348,,0,319 320 VY,2439,BCN,1218,LGW,502,,0,320 VY,2439,BCN,1218,LIL,1399,,0,320 VY,2439,BCN,1218,LIS,1638,,0,320 VY,2439,BCN,1218,LPA,1054,,0,320 VY,2439,BCN,1218,LUX,629,,0,320 VY,2439,BCN,1218,LYS,1335,,0,320 VY,2439,BCN,1218,MAD,1229,,0,320 VY,2439,BCN,1218,MAH,1231,,0,320 VY,2439,BCN,1218,MLA,1606,,0,320 VY,2439,BCN,1218,MRS,1353,,0,320 VY,2439,BCN,1218,MUC,346,,0,320 VY,2439,BCN,1218,MXP,1524,,0,320 VY,2439,BCN,1218,NAP,1561,,0,320 VY,2439,BCN,1218,NCE,1354,,0,320 VY,2439,BCN,1218,NDR,5673,,0,320 VY,2439,BCN,1218,NTE,1418,,0,320 VY,2439,BCN,1218,NUE,347,,0,320 VY,2439,BCN,1218,OPO,1636,,0,320 VY,2439,BCN,1218,ORN,231,,0,320 VY,2439,BCN,1218,ORY,1386,,0,320 319 VY,2439,BCN,1218,OSL,644,,0,320 VY,2439,BCN,1218,OTP,1657,,0,320 VY,2439,BCN,1218,OVD,1214,,0,320 VY,2439,BCN,1218,PMI,3998,,0,320 VY,2439,BCN,1218,PMO,1512,,0,320 VY,2439,BCN,1218,PRG,1587,,0,320 VY,2439,BCN,1218,PSA,1562,,0,320 VY,2439,BCN,1218,RAK,1075,,0,320 VY,2439,BCN,1218,RNS,1415,,0,320 VY,2439,BCN,1218,SCQ,1243,,0,320 VY,2439,BCN,1218,SDR,1251,,0,320 VY,2439,BCN,1218,STR,350,,0,320 VY,2439,BCN,1218,SVG,666,,0,320 VY,2439,BCN,1218,SVQ,1253,,0,320 VY,2439,BCN,1218,TFN,1057,,0,320 VY,2439,BCN,1218,TFS,1056,,0,320 VY,2439,BCN,1218,TLS,1273,,0,320 VY,2439,BCN,1218,TLV,1590,,0,320 VY,2439,BCN,1218,TNG,1080,,0,320 VY,2439,BCN,1218,TRN,1526,,0,320 VY,2439,BCN,1218,TXL,351,,0,320 VY,2439,BCN,1218,VCE,1551,,0,320 VY,2439,BCN,1218,VGO,1250,,0,320 VY,2439,BCN,1218,VIE,1613,,0,320 VY,2439,BCN,1218,VLL,1247,,0,320 VY,2439,BCN,1218,WAW,679,,0,320 VY,2439,BCN,1218,XRY,1226,,0,320 VY,2439,BCN,1218,ZAG,1208,,0,320 VY,2439,BCN,1218,ZRH,1678,,0,319 320 VY,2439,BES,1403,BCN,1218,,0,320 VY,2439,BGO,636,BCN,1218,,0,320 VY,2439,BIO,1216,ACE,1055,,0,320 VY,2439,BIO,1216,AGP,1230,,0,320 VY,2439,BIO,1216,ALC,1212,,0,320 VY,2439,BIO,1216,AMS,580,,0,320 VY,2439,BIO,1216,BCN,1218,,0,320 VY,2439,BIO,1216,FUE,1051,,0,320 VY,2439,BIO,1216,IBZ,1225,,0,320 VY,2439,BIO,1216,LCG,1220,,0,320 VY,2439,BIO,1216,LHR,507,,0,320 VY,2439,BIO,1216,LPA,1054,,0,320 VY,2439,BIO,1216,MXP,1524,,0,320 VY,2439,BIO,1216,ORY,1386,,0,320 VY,2439,BIO,1216,PMI,3998,,0,320 VY,2439,BIO,1216,SVQ,1253,,0,320 VY,2439,BIO,1216,TFN,1057,,0,320 VY,2439,BIO,1216,TXL,351,,0,320 VY,2439,BJL,1050,BCN,1218,,0,320 VY,2439,BLQ,1538,BCN,1218,,0,320 VY,2439,BLQ,1538,ORY,1386,,0,320 VY,2439,BOD,1264,BCN,1218,,0,320 VY,2439,BOD,1264,PMI,3998,,0,320 VY,2439,BRI,1501,BCN,1218,,0,320 VY,2439,BRI,1501,FLR,1563,,0,319 VY,2439,BRU,302,AGP,1230,,0,320 VY,2439,BRU,302,ALC,1212,,0,320 VY,2439,BRU,302,BCN,1218,,0,320 VY,2439,BRU,302,FCO,1555,,0,320 VY,2439,BRU,302,IBZ,1225,,0,320 VY,2439,BRU,302,LIS,1638,,0,320 VY,2439,BRU,302,OPO,1636,,0,320 VY,2439,BRU,302,PMI,3998,,0,320 VY,2439,BRU,302,SCQ,1243,,0,320 VY,2439,BRU,302,VCE,1551,,0,320 VY,2439,BRU,302,VLC,1246,,0,320 VY,2439,CAG,1519,FLR,1563,,0,319 VY,2439,CDG,1382,BCN,1218,,0,320 319 VY,2439,CDG,1382,MAD,1229,,0,320 VY,2439,CDG,1382,OVD,1214,,0,320 VY,2439,CDG,1382,SCQ,1243,,0,320 VY,2439,CMN,1074,BCN,1218,,0,320 VY,2439,CPH,609,AGP,1230,,0,320 VY,2439,CPH,609,ALC,1212,,0,320 VY,2439,CPH,609,BCN,1218,,0,320 VY,2439,CPH,609,FLR,1563,,0,319 VY,2439,CTA,1509,BCN,1218,,0,320 VY,2439,CTA,1509,FCO,1555,,0,320 VY,2439,CTA,1509,FLR,1563,,0,319 VY,2439,CWL,488,AGP,1230,,0,320 VY,2439,CWL,488,ALC,1212,,0,320 VY,2439,CWL,488,BCN,1218,,0,320 VY,2439,DBV,1200,BCN,1218,,0,320 VY,2439,DKR,1084,BCN,1218,,0,320 VY,2439,DME,4029,AGP,1230,,0,320 VY,2439,DME,4029,ALC,1212,,0,320 VY,2439,DME,4029,BCN,1218,,0,320 VY,2439,DME,4029,PMI,3998,,0,320 VY,2439,DRS,338,BCN,1218,,0,319 320 VY,2439,DTM,373,BCN,1218,,0,319 VY,2439,DUS,345,BCN,1218,,0,320 VY,2439,EAS,1242,BCN,1218,,0,319 VY,2439,EDI,535,BCN,1218,,0,320 VY,2439,FCO,1555,AGP,1230,,0,320 VY,2439,FCO,1555,ALC,1212,,0,320 VY,2439,FCO,1555,BCN,1218,,0,320 VY,2439,FCO,1555,BRU,302,,0,320 VY,2439,FCO,1555,CTA,1509,,0,320 VY,2439,FCO,1555,NTE,1418,,0,320 VY,2439,FCO,1555,ORY,1386,,0,320 VY,2439,FCO,1555,PRG,1587,,0,320 VY,2439,FCO,1555,VLC,1246,,0,320 VY,2439,FEZ,1066,BCN,1218,,0,320 VY,2439,FLR,1563,BCN,1218,,0,319 VY,2439,FLR,1563,BRI,1501,,0,319 VY,2439,FLR,1563,CAG,1519,,0,319 VY,2439,FLR,1563,CPH,609,,0,319 VY,2439,FLR,1563,CTA,1509,,0,319 VY,2439,FLR,1563,LGW,502,,0,319 VY,2439,FLR,1563,MAD,1229,,0,319 VY,2439,FLR,1563,ORY,1386,,0,319 VY,2439,FLR,1563,PMO,1512,,0,319 VY,2439,FLR,1563,TXL,351,,0,319 VY,2439,FRA,340,BCN,1218,,0,320 VY,2439,FUE,1051,BCN,1218,,0,320 VY,2439,FUE,1051,BIO,1216,,0,320 VY,2439,GOA,1528,BCN,1218,,0,320 VY,2439,GOT,687,BCN,1218,,0,320 VY,2439,GRX,1223,BCN,1218,,0,320 VY,2439,GRX,1223,PMI,3998,,0,320 VY,2439,HAJ,352,AGP,1230,,0,320 VY,2439,HAJ,352,BCN,1218,,0,320 VY,2439,HAM,342,AGP,1230,,0,320 VY,2439,HAM,342,BCN,1218,,0,320 VY,2439,HEL,421,BCN,1218,,0,320 VY,2439,IBZ,1225,ALC,1212,,0,320 VY,2439,IBZ,1225,AMS,580,,0,320 VY,2439,IBZ,1225,BCN,1218,,0,320 VY,2439,IBZ,1225,BIO,1216,,0,320 VY,2439,IBZ,1225,BRU,302,,0,320 VY,2439,IBZ,1225,MAD,1229,,0,320 VY,2439,IBZ,1225,ORY,1386,,0,320 VY,2439,IBZ,1225,VLC,1246,,0,320 VY,2439,IEV,2944,BCN,1218,,0,320 VY,2439,LCG,1220,BCN,1218,,0,320 VY,2439,LCG,1220,BIO,1216,,0,320 VY,2439,LCG,1220,LHR,507,,0,320 VY,2439,LCG,1220,SVQ,1253,,0,320 VY,2439,LED,2948,BCN,1218,,0,320 VY,2439,LEI,1213,BCN,1218,,0,320 VY,2439,LEJ,348,BCN,1218,,0,319 320 VY,2439,LGW,502,BCN,1218,,0,320 VY,2439,LGW,502,FLR,1563,,0,319 VY,2439,LHR,507,BIO,1216,,0,320 VY,2439,LHR,507,LCG,1220,,0,320 VY,2439,LIL,1399,BCN,1218,,0,320 VY,2439,LIS,1638,BCN,1218,,0,320 VY,2439,LIS,1638,BRU,302,,0,320 VY,2439,LIS,1638,ORY,1386,,0,320 VY,2439,LPA,1054,AGP,1230,,0,320 VY,2439,LPA,1054,BCN,1218,,0,320 VY,2439,LPA,1054,BIO,1216,,0,320 VY,2439,LPA,1054,ORY,1386,,0,320 VY,2439,LPA,1054,SVQ,1253,,0,320 VY,2439,LUX,629,BCN,1218,,0,320 VY,2439,LYS,1335,AGP,1230,,0,320 VY,2439,LYS,1335,BCN,1218,,0,320 VY,2439,LYS,1335,PMI,3998,,0,320 VY,2439,LYS,1335,SVQ,1253,,0,320 VY,2439,MAD,1229,BCN,1218,,0,320 VY,2439,MAD,1229,CDG,1382,,0,320 VY,2439,MAD,1229,FLR,1563,,0,319 VY,2439,MAD,1229,IBZ,1225,,0,320 VY,2439,MAH,1231,BCN,1218,,0,320 VY,2439,MLA,1606,BCN,1218,,0,320 VY,2439,MRS,1353,BCN,1218,,0,320 VY,2439,MRS,1353,PMI,3998,,0,320 VY,2439,MUC,346,AGP,1230,,0,320 VY,2439,MUC,346,BCN,1218,,0,320 VY,2439,MXP,1524,BCN,1218,,0,320 VY,2439,MXP,1524,BIO,1216,,0,320 VY,2439,NAP,1561,BCN,1218,,0,320 VY,2439,NCE,1354,BCN,1218,,0,320 VY,2439,NDR,5673,BCN,1218,,0,320 VY,2439,NTE,1418,AGP,1230,,0,320 VY,2439,NTE,1418,BCN,1218,,0,320 VY,2439,NTE,1418,FCO,1555,,0,320 VY,2439,NTE,1418,SVQ,1253,,0,320 VY,2439,NUE,347,BCN,1218,,0,320 VY,2439,OPO,1636,BCN,1218,,0,320 VY,2439,OPO,1636,BRU,302,,0,320 VY,2439,OPO,1636,ORY,1386,,0,320 VY,2439,ORN,231,ALC,1212,,0,320 VY,2439,ORN,231,BCN,1218,,0,320 VY,2439,ORY,1386,AGP,1230,,0,320 VY,2439,ORY,1386,ALC,1212,,0,320 VY,2439,ORY,1386,BCN,1218,,0,320 319 VY,2439,ORY,1386,BIO,1216,,0,320 VY,2439,ORY,1386,BLQ,1538,,0,320 VY,2439,ORY,1386,FCO,1555,,0,320 VY,2439,ORY,1386,FLR,1563,,0,319 VY,2439,ORY,1386,IBZ,1225,,0,320 VY,2439,ORY,1386,LIS,1638,,0,320 VY,2439,ORY,1386,LPA,1054,,0,320 VY,2439,ORY,1386,OPO,1636,,0,320 VY,2439,ORY,1386,PMI,3998,,0,320 VY,2439,ORY,1386,RBA,1072,,0,320 VY,2439,ORY,1386,SVQ,1253,,0,320 VY,2439,ORY,1386,VLC,1246,,0,320 VY,2439,OSL,644,BCN,1218,,0,320 VY,2439,OTP,1657,BCN,1218,,0,320 VY,2439,OVD,1214,AGP,1230,,0,320 VY,2439,OVD,1214,BCN,1218,,0,320 VY,2439,OVD,1214,CDG,1382,,0,320 VY,2439,OVD,1214,SVQ,1253,,0,320 VY,2439,PMI,3998,AGP,1230,,0,320 VY,2439,PMI,3998,ALC,1212,,0,320 VY,2439,PMI,3998,AMS,580,,0,320 VY,2439,PMI,3998,BCN,1218,,0,320 VY,2439,PMI,3998,BIO,1216,,0,320 VY,2439,PMI,3998,BOD,1264,,0,320 VY,2439,PMI,3998,BRU,302,,0,320 VY,2439,PMI,3998,DME,4029,,0,320 VY,2439,PMI,3998,GRX,1223,,0,320 VY,2439,PMI,3998,LYS,1335,,0,320 VY,2439,PMI,3998,MRS,1353,,0,320 VY,2439,PMI,3998,ORY,1386,,0,320 VY,2439,PMI,3998,SVQ,1253,,0,320 VY,2439,PMI,3998,TLS,1273,,0,320 VY,2439,PMO,1512,BCN,1218,,0,320 VY,2439,PMO,1512,FLR,1563,,0,319 VY,2439,PRG,1587,BCN,1218,,0,320 VY,2439,PRG,1587,FCO,1555,,0,320 VY,2439,PSA,1562,BCN,1218,,0,320 VY,2439,RAK,1075,BCN,1218,,0,320 VY,2439,RBA,1072,ORY,1386,,0,320 VY,2439,RNS,1415,BCN,1218,,0,320 VY,2439,SCQ,1243,AGP,1230,,0,320 VY,2439,SCQ,1243,BCN,1218,,0,320 VY,2439,SCQ,1243,BRU,302,,0,320 VY,2439,SCQ,1243,CDG,1382,,0,320 VY,2439,SDR,1251,BCN,1218,,0,320 VY,2439,STR,350,BCN,1218,,0,320 VY,2439,SVG,666,BCN,1218,,0,320 VY,2439,SVQ,1253,AMS,580,,0,320 VY,2439,SVQ,1253,BCN,1218,,0,320 VY,2439,SVQ,1253,BIO,1216,,0,320 VY,2439,SVQ,1253,LCG,1220,,0,320 VY,2439,SVQ,1253,LPA,1054,,0,320 VY,2439,SVQ,1253,LYS,1335,,0,320 VY,2439,SVQ,1253,NTE,1418,,0,320 VY,2439,SVQ,1253,ORY,1386,,0,320 VY,2439,SVQ,1253,OVD,1214,,0,320 VY,2439,SVQ,1253,PMI,3998,,0,320 VY,2439,SVQ,1253,TFN,1057,,0,320 VY,2439,TFN,1057,AGP,1230,,0,320 VY,2439,TFN,1057,BCN,1218,,0,320 VY,2439,TFN,1057,BIO,1216,,0,320 VY,2439,TFN,1057,SVQ,1253,,0,320 VY,2439,TFS,1056,BCN,1218,,0,320 VY,2439,TLS,1273,AGP,1230,,0,320 VY,2439,TLS,1273,BCN,1218,,0,320 VY,2439,TLS,1273,PMI,3998,,0,320 VY,2439,TLV,1590,BCN,1218,,0,320 VY,2439,TNG,1080,BCN,1218,,0,320 VY,2439,TRN,1526,BCN,1218,,0,320 VY,2439,TXL,351,BCN,1218,,0,320 VY,2439,TXL,351,BIO,1216,,0,320 VY,2439,TXL,351,FLR,1563,,0,319 VY,2439,VCE,1551,BCN,1218,,0,320 VY,2439,VCE,1551,BRU,302,,0,320 VY,2439,VGO,1250,BCN,1218,,0,320 VY,2439,VIE,1613,BCN,1218,,0,320 VY,2439,VLC,1246,AMS,580,,0,320 VY,2439,VLC,1246,BRU,302,,0,320 VY,2439,VLC,1246,FCO,1555,,0,320 VY,2439,VLC,1246,IBZ,1225,,0,320 VY,2439,VLC,1246,ORY,1386,,0,320 VY,2439,VLL,1247,BCN,1218,,0,320 VY,2439,WAW,679,BCN,1218,,0,320 VY,2439,XRY,1226,BCN,1218,,0,320 VY,2439,ZAG,1208,BCN,1218,,0,320 VY,2439,ZRH,1678,BCN,1218,,0,319 320 W2,18553,AGP,1230,MLN,1058,,0,AT4 W2,18553,ALC,1212,KEF,16,Y,0,320 W2,18553,ARN,737,BGW,4130,,0,320 W2,18553,ARN,737,EBL,3989,Y,0,320 W2,18553,ARN,737,EVG,714,Y,0,J31 W2,18553,ARN,737,HFS,5594,Y,0,J31 W2,18553,ARN,737,ISU,5952,Y,0,320 W2,18553,ARN,737,KID,703,Y,0,ER4 W2,18553,ARN,737,MXX,698,Y,0,J31 W2,18553,BGW,4130,ARN,737,,0,320 W2,18553,BRE,353,FMO,341,,0,J32 W2,18553,BRE,353,ZRH,1678,,0,J32 W2,18553,CDG,1382,KEF,16,Y,0,320 W2,18553,CPH,609,KEF,16,Y,0,320 W2,18553,EBL,3989,ARN,737,Y,0,320 W2,18553,EBL,3989,GOT,687,Y,0,320 W2,18553,EVG,714,ARN,737,Y,0,J31 W2,18553,EVG,714,MXX,698,Y,0,J31 W2,18553,FMO,341,BRE,353,,0,J32 W2,18553,FMO,341,STR,350,,0,J32 W2,18553,FMO,341,ZRH,1678,,0,J32 W2,18553,GOT,687,EBL,3989,Y,0,320 W2,18553,HEL,421,POR,448,Y,0,SF3 W2,18553,HER,1452,RIX,3953,,0,320 W2,18553,HER,1452,TLL,415,Y,0,320 W2,18553,HER,1452,VNO,3959,Y,0,320 W2,18553,HFS,5594,ARN,737,Y,0,J31 W2,18553,HFS,5594,TYF,5596,Y,0,J31 W2,18553,ISU,5952,ARN,737,Y,0,320 W2,18553,KEF,16,ALC,1212,Y,0,320 W2,18553,KEF,16,CDG,1382,Y,0,320 W2,18553,KEF,16,CPH,609,Y,0,320 W2,18553,KEF,16,LGW,502,Y,0,320 W2,18553,KEF,16,SXF,337,Y,0,320 W2,18553,KID,703,ARN,737,Y,0,ER4 W2,18553,LGW,502,KEF,16,Y,0,320 W2,18553,LLA,734,PJA,6737,Y,0,J31 W2,18553,MHG,356,TXL,351,,0,D38 W2,18553,MLN,1058,AGP,1230,,0,AT4 W2,18553,MXX,698,ARN,737,Y,0,J31 W2,18553,MXX,698,EVG,714,Y,0,J31 W2,18553,PJA,6737,LLA,734,Y,0,J31 W2,18553,PJA,6737,TLL,415,Y,0,J31 W2,18553,POR,448,HEL,421,Y,0,SF3 W2,18553,RIX,3953,HER,1452,,0,320 W2,18553,RIX,3953,TFS,1056,Y,0,320 W2,18553,STR,350,FMO,341,,0,J32 W2,18553,SXF,337,KEF,16,Y,0,320 W2,18553,TFS,1056,RIX,3953,Y,0,320 W2,18553,TLL,415,HER,1452,Y,0,320 W2,18553,TLL,415,PJA,6737,Y,0,J31 W2,18553,TLL,415,TYF,5596,Y,0,J31 W2,18553,TLL,415,URE,413,Y,0,J31 W2,18553,TLV,1590,VIN,8209,,0,320 W2,18553,TXL,351,MHG,356,,0,D38 W2,18553,TYF,5596,HFS,5594,Y,0,J31 W2,18553,TYF,5596,TLL,415,Y,0,J31 W2,18553,URE,413,TLL,415,Y,0,J31 W2,18553,VIN,8209,TLV,1590,,0,320 W2,18553,VNO,3959,HER,1452,Y,0,320 W2,18553,ZRH,1678,BRE,353,,0,J32 W2,18553,ZRH,1678,FMO,341,,0,J32 W3,20976,ABB,\N,ABV,260,,0,73G W3,20976,ABB,\N,LOS,273,,0,73G W3,20976,ABJ,253,LOS,273,,0,CR9 W3,20976,ABV,260,ABB,\N,,0,73G W3,20976,ABV,260,ACC,248,,0,CR9 W3,20976,ABV,260,BNI,262,,0,CR9 73G W3,20976,ABV,260,CBQ,263,,0,73G W3,20976,ABV,260,ENU,264,,0,73G W3,20976,ABV,260,GMO,\N,,0,CR9 DH4 W3,20976,ABV,260,IBA,266,,0,DH4 W3,20976,ABV,260,ILR,267,,0,CR9 W3,20976,ABV,260,KAN,270,,0,CR9 DH4 W3,20976,ABV,260,LOS,273,,0,738 CR9 73G W3,20976,ABV,260,PHC,275,,0,73G W3,20976,ABV,260,QOW,6730,,0,73G DH4 W3,20976,ABV,260,QRW,6972,,0,DH4 W3,20976,ABV,260,SKO,276,,0,CR9 73G W3,20976,ABV,260,YOL,277,,0,CR9 73G W3,20976,ACC,248,ABV,260,,0,CR9 W3,20976,ACC,248,DKR,1084,,0,CR9 W3,20976,ACC,248,LOS,273,,0,73G 738 W3,20976,ACC,248,ROB,1063,,0,73G W3,20976,BJL,1050,FNA,1059,,0,73G W3,20976,BNI,262,ABV,260,,0,CR9 73G W3,20976,BNI,262,LOS,273,,0,73G W3,20976,CBQ,263,ABV,260,,0,73G W3,20976,CBQ,263,LOS,273,,0,73G CR9 W3,20976,COO,245,DKR,1084,,0,73G CR9 W3,20976,COO,245,DLA,897,,0,CR9 W3,20976,COO,245,LOS,273,,0,CR9 73G W3,20976,DKR,1084,ACC,248,,0,CR9 W3,20976,DKR,1084,COO,245,,0,CR9 73G W3,20976,DLA,897,COO,245,,0,CR9 W3,20976,ENU,264,ABV,260,,0,73G W3,20976,ENU,264,LOS,273,,0,73G W3,20976,FNA,1059,BJL,1050,,0,73G W3,20976,FNA,1059,LOS,273,,0,73G W3,20976,GMO,\N,ABV,260,,0,CR9 DH4 W3,20976,IBA,266,ABV,260,,0,DH4 W3,20976,ILR,267,ABV,260,,0,CR9 W3,20976,JFK,3797,LOS,273,Y,0,345 W3,20976,JNB,813,LOS,273,,0,332 W3,20976,JOS,268,LOS,273,,0,73G W3,20976,KAD,269,LOS,273,,0,CR9 W3,20976,KAN,270,ABV,260,,0,DH4 W3,20976,KAN,270,LOS,273,,0,CR9 W3,20976,LHR,507,LOS,273,Y,0,332 W3,20976,LOS,273,ABB,\N,,0,73G W3,20976,LOS,273,ABJ,253,,0,CR9 W3,20976,LOS,273,ABV,260,,0,738 73G W3,20976,LOS,273,ACC,248,,0,73G 738 W3,20976,LOS,273,BNI,262,,0,73G W3,20976,LOS,273,CBQ,263,,0,73G W3,20976,LOS,273,COO,245,,0,CR9 73G W3,20976,LOS,273,ENU,264,,0,73G W3,20976,LOS,273,FNA,1059,,0,73G W3,20976,LOS,273,JFK,3797,Y,0,345 W3,20976,LOS,273,JNB,813,,0,332 W3,20976,LOS,273,JOS,268,,0,73G W3,20976,LOS,273,KAD,269,,0,CR9 W3,20976,LOS,273,KAN,270,,0,DH4 CR9 W3,20976,LOS,273,LHR,507,Y,0,332 W3,20976,LOS,273,PHC,275,,0,73G 738 W3,20976,LOS,273,QOW,6730,,0,73G CR9 DH4 W3,20976,LOS,273,QRW,6972,,0,DH4 W3,20976,LOS,273,QUO,9826,,0,CR9 W3,20976,PHC,275,ABV,260,,0,73G W3,20976,PHC,275,LOS,273,,0,73G 738 W3,20976,QOW,6730,ABV,260,,0,73G DH4 W3,20976,QOW,6730,LOS,273,,0,73G CR9 DH4 W3,20976,QRW,6972,ABV,260,,0,DH4 W3,20976,QRW,6972,LOS,273,,0,DH4 W3,20976,QUO,9826,LOS,273,,0,CR9 W3,20976,ROB,1063,ACC,248,,0,738 W3,20976,SKO,276,ABV,260,,0,CR9 73G W3,20976,YOL,277,ABV,260,,0,CR9 73G W4,16660,ANS,2787,LIM,2789,,0,DH8 W4,16660,ATA,2788,LIM,2789,,0,DH8 W4,16660,AYP,2786,LIM,2789,,0,DH8 W4,16660,CJA,6066,LIM,2789,,0,DH8 W4,16660,HUU,6067,LIM,2789,,0,DH8 W4,16660,JAU,\N,LIM,2789,,0,DH8 W4,16660,LIM,2789,ANS,2787,,0,DH8 W4,16660,LIM,2789,ATA,2788,,0,DH8 W4,16660,LIM,2789,AYP,2786,,0,DH8 W4,16660,LIM,2789,CJA,6066,,0,DH8 W4,16660,LIM,2789,HUU,6067,,0,DH8 W4,16660,LIM,2789,JAU,\N,,0,DH8 W4,16660,LIM,2789,TGI,9768,,0,DH8 W4,16660,TGI,9768,LIM,2789,,0,DH8 W5,3370,ALA,2908,IKA,4330,,0,313 W5,3370,BKK,3885,IKA,4330,,0,313 W5,3370,CAN,3370,IKA,4330,,0,313 W5,3370,DEL,3093,IKA,4330,,0,AB6 W5,3370,DUS,345,IKA,4330,,0,313 W5,3370,DXB,2188,IKA,4330,,0,AB6 W5,3370,EBL,3989,IKA,4330,,0,313 W5,3370,ESB,1682,IKA,4330,,0,313 W5,3370,IKA,4330,ALA,2908,,0,313 W5,3370,IKA,4330,BKK,3885,,0,313 W5,3370,IKA,4330,CAN,3370,,0,313 W5,3370,IKA,4330,DEL,3093,,0,AB6 W5,3370,IKA,4330,DUS,345,,0,313 W5,3370,IKA,4330,DXB,2188,,0,AB6 W5,3370,IKA,4330,EBL,3989,,0,313 W5,3370,IKA,4330,ESB,1682,,0,313 W5,3370,IKA,4330,IST,1701,,0,AB6 W5,3370,IKA,4330,KUL,3304,,0,313 W5,3370,IKA,4330,NJF,7490,,0,313 W5,3370,IKA,4330,PVG,3406,,0,313 W5,3370,IST,1701,IKA,4330,,0,AB6 W5,3370,KUL,3304,IKA,4330,,0,313 W5,3370,NJF,7490,IKA,4330,,0,313 W5,3370,PVG,3406,IKA,4330,,0,313 W6,5461,AES,630,GDN,668,,0,320 W6,5461,AES,630,VNO,3959,,0,320 W6,5461,AGP,1230,BUD,1489,,0,320 W6,5461,AHO,1517,OTP,1657,,0,320 W6,5461,ARW,1647,BGY,1525,,0,320 W6,5461,BCN,1218,BUD,1489,,0,320 W6,5461,BCN,1218,CLJ,1652,,0,320 W6,5461,BCN,1218,GDN,668,,0,320 W6,5461,BCN,1218,KTW,671,,0,320 W6,5461,BCN,1218,OTP,1657,,0,320 W6,5461,BCN,1218,POZ,674,,0,320 W6,5461,BCN,1218,SOF,1194,,0,320 W6,5461,BCN,1218,TSR,1663,,0,320 W6,5461,BCN,1218,VNO,3959,,0,320 W6,5461,BCN,1218,WAW,679,,0,320 W6,5461,BEG,1739,BVA,1367,,0,320 W6,5461,BEG,1739,CRL,304,,0,320 W6,5461,BEG,1739,DTM,373,,0,320 W6,5461,BEG,1739,EIN,585,,0,320 W6,5461,BEG,1739,FMM,3986,,0,320 W6,5461,BEG,1739,GSE,691,,0,320 W6,5461,BEG,1739,LCA,1197,,0,320 W6,5461,BEG,1739,LTN,492,,0,320 W6,5461,BEG,1739,MLH,\N,,0,320 W6,5461,BEG,1739,MMX,708,,0,320 W6,5461,BEG,1739,NYO,699,,0,320 W6,5461,BEG,1739,TRF,664,,0,320 W6,5461,BGO,636,GDN,668,,0,320 W6,5461,BGO,636,KTW,671,,0,320 W6,5461,BGO,636,RIX,3953,,0,320 W6,5461,BGO,636,VNO,3959,,0,320 W6,5461,BGY,1525,ARW,1647,,0,320 W6,5461,BGY,1525,CLJ,1652,,0,320 W6,5461,BGY,1525,CRA,1654,,0,320 W6,5461,BGY,1525,GDN,668,,0,320 W6,5461,BGY,1525,KTW,671,,0,320 W6,5461,BGY,1525,OTP,1657,,0,320 W6,5461,BGY,1525,PRG,1587,,0,320 W6,5461,BGY,1525,SKP,1737,,0,320 W6,5461,BGY,1525,SOF,1194,,0,320 W6,5461,BGY,1525,TSR,1663,,0,320 W6,5461,BGY,1525,VNO,3959,,0,320 W6,5461,BGY,1525,WAW,679,,0,320 W6,5461,BLQ,1538,CLJ,1652,,0,320 W6,5461,BLQ,1538,OTP,1657,,0,320 W6,5461,BLQ,1538,SOF,1194,,0,320 W6,5461,BLQ,1538,TSR,1663,,0,320 W6,5461,BOJ,1191,LTN,492,,0,320 W6,5461,BRI,1501,BUD,1489,,0,320 W6,5461,BRI,1501,OTP,1657,,0,320 W6,5461,BRI,1501,PRG,1587,,0,320 W6,5461,BUD,1489,AGP,1230,,0,320 W6,5461,BUD,1489,BCN,1218,,0,320 W6,5461,BUD,1489,BRI,1501,,0,320 W6,5461,BUD,1489,CRL,304,,0,320 W6,5461,BUD,1489,CTA,1509,,0,320 W6,5461,BUD,1489,DTM,373,,0,320 W6,5461,BUD,1489,DWC,8076,,0,320 W6,5461,BUD,1489,EIN,585,,0,320 W6,5461,BUD,1489,FCO,1555,,0,320 W6,5461,BUD,1489,GSE,691,,0,320 W6,5461,BUD,1489,GYD,2922,,0,320 W6,5461,BUD,1489,HHN,355,,0,320 W6,5461,BUD,1489,IEV,2944,,0,320 W6,5461,BUD,1489,LCA,1197,,0,320 W6,5461,BUD,1489,LTN,492,,0,320 W6,5461,BUD,1489,MAD,1229,,0,320 W6,5461,BUD,1489,MLA,1606,,0,320 W6,5461,BUD,1489,MMX,708,,0,320 W6,5461,BUD,1489,MXP,1524,,0,320 W6,5461,BUD,1489,NAP,1561,,0,320 W6,5461,BUD,1489,NYO,699,,0,320 W6,5461,BUD,1489,SAW,4317,,0,320 W6,5461,BUD,1489,SKG,1486,,0,320 W6,5461,BUD,1489,TLV,1590,,0,320 W6,5461,BUD,1489,VKO,2988,,0,320 W6,5461,BUD,1489,WAW,679,,0,320 W6,5461,BVA,1367,BEG,1739,,0,320 W6,5461,BVA,1367,CLJ,1652,,0,320 W6,5461,BVA,1367,GDN,668,,0,320 W6,5461,BVA,1367,KTW,671,,0,320 W6,5461,BVA,1367,OTP,1657,,0,320 W6,5461,BVA,1367,POZ,674,,0,320 W6,5461,BVA,1367,SOF,1194,,0,320 W6,5461,BVA,1367,TGM,1662,,0,320 W6,5461,BVA,1367,TSR,1663,,0,320 W6,5461,BVA,1367,VNO,3959,,0,320 W6,5461,BVA,1367,WAW,679,,0,320 W6,5461,BVA,1367,WRO,680,,0,320 W6,5461,CGN,344,GDN,668,,0,320 W6,5461,CGN,344,KTW,671,,0,320 W6,5461,CGN,344,SKP,1737,,0,320 W6,5461,CIA,1553,CLJ,1652,,0,320 W6,5461,CIA,1553,KIV,1735,,0,320 W6,5461,CIA,1553,KTW,671,,0,320 W6,5461,CIA,1553,OTP,1657,,0,320 W6,5461,CIA,1553,TSR,1663,,0,320 W6,5461,CLJ,1652,BCN,1218,,0,320 W6,5461,CLJ,1652,BGY,1525,,0,320 W6,5461,CLJ,1652,BLQ,1538,,0,320 W6,5461,CLJ,1652,BVA,1367,,0,320 W6,5461,CLJ,1652,CIA,1553,,0,320 W6,5461,CLJ,1652,CRL,304,,0,320 W6,5461,CLJ,1652,DTM,373,,0,320 W6,5461,CLJ,1652,EIN,585,,0,320 W6,5461,CLJ,1652,LTN,492,,0,320 W6,5461,CLJ,1652,MAD,1229,,0,320 W6,5461,CLJ,1652,TLV,1590,,0,320 W6,5461,CLJ,1652,TSF,1539,,0,320 W6,5461,CLJ,1652,VLC,1246,,0,320 W6,5461,CLJ,1652,ZAZ,1252,,0,320 W6,5461,CRA,1654,BGY,1525,,0,320 W6,5461,CRA,1654,LTN,492,,0,320 W6,5461,CRL,304,BEG,1739,,0,320 W6,5461,CRL,304,BUD,1489,,0,320 W6,5461,CRL,304,CLJ,1652,,0,320 W6,5461,CRL,304,LJU,1569,,0,320 W6,5461,CRL,304,OTP,1657,,0,320 W6,5461,CRL,304,SKP,1737,,0,320 W6,5461,CRL,304,SOF,1194,,0,320 W6,5461,CRL,304,WAW,679,,0,320 W6,5461,CTA,1509,BUD,1489,,0,320 W6,5461,CTA,1509,OTP,1657,,0,320 W6,5461,CUF,1534,OTP,1657,,0,320 W6,5461,DEB,1490,EIN,585,,0,320 W6,5461,DEB,1490,LTN,492,,0,320 W6,5461,DSA,5562,GDN,668,,0,320 W6,5461,DSA,5562,KTW,671,,0,320 W6,5461,DSA,5562,POZ,674,,0,320 W6,5461,DSA,5562,VNO,3959,,0,320 W6,5461,DSA,5562,WAW,679,,0,320 W6,5461,DSA,5562,WRO,680,,0,320 W6,5461,DTM,373,BEG,1739,,0,320 W6,5461,DTM,373,BUD,1489,,0,320 W6,5461,DTM,373,CLJ,1652,,0,320 W6,5461,DTM,373,GDN,668,,0,320 W6,5461,DTM,373,KTW,671,,0,320 W6,5461,DTM,373,OTP,1657,,0,320 W6,5461,DTM,373,SKP,1737,,0,320 W6,5461,DTM,373,SOF,1194,,0,320 W6,5461,DTM,373,TSR,1663,,0,320 W6,5461,DTM,373,VNO,3959,,0,320 W6,5461,DWC,8076,BUD,1489,,0,320 W6,5461,DWC,8076,OTP,1657,,0,320 W6,5461,DWC,8076,SOF,1194,,0,320 W6,5461,EIN,585,BEG,1739,,0,320 W6,5461,EIN,585,BUD,1489,,0,320 W6,5461,EIN,585,CLJ,1652,,0,320 W6,5461,EIN,585,DEB,1490,,0,320 W6,5461,EIN,585,GDN,668,,0,320 W6,5461,EIN,585,KTW,671,,0,320 W6,5461,EIN,585,OTP,1657,,0,320 W6,5461,EIN,585,RIX,3953,,0,320 W6,5461,EIN,585,SKP,1737,,0,320 W6,5461,EIN,585,SOF,1194,,0,320 W6,5461,EIN,585,VNO,3959,,0,320 W6,5461,EIN,585,WAW,679,,0,320 W6,5461,FCO,1555,BUD,1489,,0,320 W6,5461,FCO,1555,GDN,668,,0,320 W6,5461,FCO,1555,PRG,1587,,0,320 W6,5461,FCO,1555,SOF,1194,,0,320 W6,5461,FCO,1555,VNO,3959,,0,320 W6,5461,FCO,1555,WAW,679,,0,320 W6,5461,FMM,3986,BEG,1739,,0,320 W6,5461,FMM,3986,SKP,1737,,0,320 W6,5461,GDN,668,AES,630,,0,320 W6,5461,GDN,668,BCN,1218,,0,320 W6,5461,GDN,668,BGO,636,,0,320 W6,5461,GDN,668,BGY,1525,,0,320 W6,5461,GDN,668,BVA,1367,,0,320 W6,5461,GDN,668,CGN,344,,0,320 W6,5461,GDN,668,DSA,5562,,0,320 W6,5461,GDN,668,DTM,373,,0,320 W6,5461,GDN,668,EIN,585,,0,320 W6,5461,GDN,668,FCO,1555,,0,320 W6,5461,GDN,668,GLA,534,,0,320 W6,5461,GDN,668,GSE,691,,0,320 W6,5461,GDN,668,HAU,645,,0,320 W6,5461,GDN,668,KRS,638,,0,320 W6,5461,GDN,668,LBC,364,,0,320 W6,5461,GDN,668,LPL,491,,0,320 W6,5461,GDN,668,LTN,492,,0,320 W6,5461,GDN,668,MMX,708,,0,320 W6,5461,GDN,668,NYO,699,,0,320 W6,5461,GDN,668,SVG,666,,0,320 W6,5461,GDN,668,TKU,460,,0,320 W6,5461,GDN,668,TRD,665,,0,320 W6,5461,GDN,668,TRF,664,,0,320 W6,5461,GLA,534,GDN,668,,0,320 W6,5461,GLA,534,WAW,679,,0,320 W6,5461,GSE,691,BEG,1739,,0,320 W6,5461,GSE,691,BUD,1489,,0,320 W6,5461,GSE,691,GDN,668,,0,320 W6,5461,GSE,691,SKP,1737,,0,320 W6,5461,GSE,691,TZL,\N,,0,320 W6,5461,GSE,691,WAW,679,,0,320 W6,5461,GVA,1665,OTP,1657,,0,320 W6,5461,GYD,2922,BUD,1489,,0,320 W6,5461,HAU,645,GDN,668,,0,320 W6,5461,HHN,355,BUD,1489,,0,320 W6,5461,HHN,355,KTW,671,,0,320 W6,5461,HHN,355,SKP,1737,,0,320 W6,5461,HHN,355,SOF,1194,,0,320 W6,5461,HRK,6105,WAW,679,,0,320 W6,5461,IEV,2944,BUD,1489,,0,320 W6,5461,IEV,2944,LTN,492,,0,320 W6,5461,KIV,1735,CIA,1553,,0,320 W6,5461,KIV,1735,TSF,1539,,0,320 W6,5461,KRS,638,GDN,668,,0,320 W6,5461,KSC,1746,LTN,492,,0,320 W6,5461,KTW,671,BCN,1218,,0,320 W6,5461,KTW,671,BGO,636,,0,320 W6,5461,KTW,671,BGY,1525,,0,320 W6,5461,KTW,671,BVA,1367,,0,320 W6,5461,KTW,671,CGN,344,,0,320 W6,5461,KTW,671,CIA,1553,,0,320 W6,5461,KTW,671,DSA,5562,,0,320 W6,5461,KTW,671,DTM,373,,0,320 W6,5461,KTW,671,EIN,585,,0,320 W6,5461,KTW,671,HHN,355,,0,320 W6,5461,KTW,671,KUT,3972,,0,320 W6,5461,KTW,671,LTN,492,,0,320 W6,5461,KTW,671,MMX,708,,0,320 W6,5461,KTW,671,NAP,1561,,0,320 W6,5461,KTW,671,NYO,699,,0,320 W6,5461,KTW,671,SVG,666,,0,320 W6,5461,KTW,671,TLV,1590,,0,320 W6,5461,KTW,671,TRF,664,,0,320 W6,5461,KUT,3972,KTW,671,,0,320 W6,5461,KUT,3972,VNO,3959,,0,320 W6,5461,KUT,3972,WAW,679,,0,320 W6,5461,LBC,364,GDN,668,,0,320 W6,5461,LCA,1197,BEG,1739,,0,320 W6,5461,LCA,1197,BUD,1489,,0,320 W6,5461,LCA,1197,OTP,1657,,0,320 W6,5461,LCA,1197,SOF,1194,,0,320 W6,5461,LJU,1569,CRL,304,,0,320 W6,5461,LJU,1569,LTN,492,,0,320 W6,5461,LPL,491,GDN,668,,0,320 W6,5461,LPL,491,WAW,679,,0,320 W6,5461,LTN,492,BEG,1739,,0,320 W6,5461,LTN,492,BOJ,1191,,0,320 W6,5461,LTN,492,BUD,1489,,0,320 W6,5461,LTN,492,CLJ,1652,,0,320 W6,5461,LTN,492,CRA,1654,,0,320 W6,5461,LTN,492,DEB,1490,,0,320 W6,5461,LTN,492,GDN,668,,0,320 W6,5461,LTN,492,IEV,2944,,0,320 W6,5461,LTN,492,KSC,1746,,0,320 W6,5461,LTN,492,KTW,671,,0,320 W6,5461,LTN,492,LJU,1569,,0,320 W6,5461,LTN,492,LUZ,8832,,0,320 W6,5461,LTN,492,OTP,1657,,0,320 W6,5461,LTN,492,POZ,674,,0,320 W6,5461,LTN,492,PRG,1587,,0,320 W6,5461,LTN,492,RIX,3953,,0,320 W6,5461,LTN,492,SKP,1737,,0,320 W6,5461,LTN,492,SOF,1194,,0,320 W6,5461,LTN,492,TGM,1662,,0,320 W6,5461,LTN,492,TSR,1663,,0,320 W6,5461,LTN,492,VAR,1196,,0,320 W6,5461,LTN,492,VNO,3959,,0,320 W6,5461,LTN,492,WAW,679,,0,320 W6,5461,LTN,492,WRO,680,,0,320 W6,5461,LUZ,8832,LTN,492,,0,320 W6,5461,LUZ,8832,TRF,664,,0,320 W6,5461,MAD,1229,BUD,1489,,0,320 W6,5461,MAD,1229,CLJ,1652,,0,320 W6,5461,MAD,1229,OTP,1657,,0,320 W6,5461,MAD,1229,SOF,1194,,0,320 W6,5461,MAD,1229,TSR,1663,,0,320 W6,5461,MLA,1606,BUD,1489,,0,320 W6,5461,MLH,\N,BEG,1739,,0,320 W6,5461,MLH,\N,SKP,1737,,0,320 W6,5461,MLH,\N,TZL,\N,,0,320 W6,5461,MMX,708,BEG,1739,,0,320 W6,5461,MMX,708,BUD,1489,,0,320 W6,5461,MMX,708,GDN,668,,0,320 W6,5461,MMX,708,KTW,671,,0,320 W6,5461,MMX,708,SKP,1737,,0,320 W6,5461,MMX,708,TZL,\N,,0,320 W6,5461,MMX,708,WAW,679,,0,320 W6,5461,MXP,1524,BUD,1489,,0,320 W6,5461,MXP,1524,OTP,1657,,0,320 W6,5461,NAP,1561,BUD,1489,,0,320 W6,5461,NAP,1561,KTW,671,,0,320 W6,5461,NAP,1561,OTP,1657,,0,320 W6,5461,NAP,1561,PRG,1587,,0,320 W6,5461,NYO,699,BEG,1739,,0,320 W6,5461,NYO,699,BUD,1489,,0,320 W6,5461,NYO,699,GDN,668,,0,320 W6,5461,NYO,699,KTW,671,,0,320 W6,5461,NYO,699,POZ,674,,0,320 W6,5461,NYO,699,SKP,1737,,0,320 W6,5461,NYO,699,WAW,679,,0,320 W6,5461,OTP,1657,AHO,1517,,0,320 W6,5461,OTP,1657,BCN,1218,,0,320 W6,5461,OTP,1657,BGY,1525,,0,320 W6,5461,OTP,1657,BLQ,1538,,0,320 W6,5461,OTP,1657,BRI,1501,,0,320 W6,5461,OTP,1657,BVA,1367,,0,320 W6,5461,OTP,1657,CIA,1553,,0,320 W6,5461,OTP,1657,CRL,304,,0,320 W6,5461,OTP,1657,CTA,1509,,0,320 W6,5461,OTP,1657,CUF,1534,,0,320 W6,5461,OTP,1657,DTM,373,,0,320 W6,5461,OTP,1657,DWC,8076,,0,320 W6,5461,OTP,1657,EIN,585,,0,320 W6,5461,OTP,1657,GVA,1665,,0,320 W6,5461,OTP,1657,LCA,1197,,0,320 W6,5461,OTP,1657,LTN,492,,0,320 W6,5461,OTP,1657,MAD,1229,,0,320 W6,5461,OTP,1657,MXP,1524,,0,320 W6,5461,OTP,1657,NAP,1561,,0,320 W6,5461,OTP,1657,PEG,1567,,0,320 W6,5461,OTP,1657,PSA,1562,,0,320 W6,5461,OTP,1657,TLV,1590,,0,320 W6,5461,OTP,1657,TRF,664,,0,320 W6,5461,OTP,1657,TSF,1539,,0,320 W6,5461,OTP,1657,VLC,1246,,0,320 W6,5461,OTP,1657,VRN,1550,,0,320 W6,5461,OTP,1657,ZAZ,1252,,0,320 W6,5461,PEG,1567,OTP,1657,,0,320 W6,5461,POZ,674,BCN,1218,,0,320 W6,5461,POZ,674,BVA,1367,,0,320 W6,5461,POZ,674,DSA,5562,,0,320 W6,5461,POZ,674,LTN,492,,0,320 W6,5461,POZ,674,NYO,699,,0,320 W6,5461,POZ,674,TRF,664,,0,320 W6,5461,PRG,1587,BGY,1525,,0,320 W6,5461,PRG,1587,BRI,1501,,0,320 W6,5461,PRG,1587,FCO,1555,,0,320 W6,5461,PRG,1587,LTN,492,,0,320 W6,5461,PRG,1587,NAP,1561,,0,320 W6,5461,PRG,1587,TLV,1590,,0,320 W6,5461,PRG,1587,TSF,1539,,0,320 W6,5461,PSA,1562,OTP,1657,,0,320 W6,5461,RIX,3953,BGO,636,,0,320 W6,5461,RIX,3953,EIN,585,,0,320 W6,5461,RIX,3953,LTN,492,,0,320 W6,5461,RIX,3953,TRF,664,,0,320 W6,5461,SAW,4317,BUD,1489,,0,320 W6,5461,SKG,1486,BUD,1489,,0,320 W6,5461,SKP,1737,BGY,1525,,0,320 W6,5461,SKP,1737,CGN,344,,0,320 W6,5461,SKP,1737,CRL,304,,0,320 W6,5461,SKP,1737,DTM,373,,0,320 W6,5461,SKP,1737,EIN,585,,0,320 W6,5461,SKP,1737,FMM,3986,,0,320 W6,5461,SKP,1737,GSE,691,,0,320 W6,5461,SKP,1737,HHN,355,,0,320 W6,5461,SKP,1737,LTN,492,,0,320 W6,5461,SKP,1737,MLH,\N,,0,320 W6,5461,SKP,1737,MMX,708,,0,320 W6,5461,SKP,1737,NYO,699,,0,320 W6,5461,SKP,1737,TSF,1539,,0,320 W6,5461,SOF,1194,BCN,1218,,0,320 W6,5461,SOF,1194,BGY,1525,,0,320 W6,5461,SOF,1194,BLQ,1538,,0,320 W6,5461,SOF,1194,BVA,1367,,0,320 W6,5461,SOF,1194,CRL,304,,0,320 W6,5461,SOF,1194,DTM,373,,0,320 W6,5461,SOF,1194,DWC,8076,,0,320 W6,5461,SOF,1194,EIN,585,,0,320 W6,5461,SOF,1194,FCO,1555,,0,320 W6,5461,SOF,1194,HHN,355,,0,320 W6,5461,SOF,1194,LCA,1197,,0,320 W6,5461,SOF,1194,LTN,492,,0,320 W6,5461,SOF,1194,MAD,1229,,0,320 W6,5461,SOF,1194,VLC,1246,,0,320 W6,5461,SVG,666,GDN,668,,0,320 W6,5461,SVG,666,KTW,671,,0,320 W6,5461,SVG,666,SZZ,676,,0,320 W6,5461,SVG,666,VNO,3959,,0,320 W6,5461,SZZ,676,SVG,666,,0,320 W6,5461,SZZ,676,TRF,664,,0,320 W6,5461,TGM,1662,BVA,1367,,0,320 W6,5461,TGM,1662,DTM,373,,0,320 W6,5461,TGM,1662,LTN,492,,0,320 W6,5461,TKU,460,GDN,668,,0,320 W6,5461,TLV,1590,BUD,1489,,0,320 W6,5461,TLV,1590,CLJ,1652,,0,320 W6,5461,TLV,1590,KTW,671,,0,320 W6,5461,TLV,1590,OTP,1657,,0,320 W6,5461,TLV,1590,PRG,1587,,0,320 W6,5461,TLV,1590,VNO,3959,,0,320 W6,5461,TLV,1590,WAW,679,,0,320 W6,5461,TRD,665,GDN,668,,0,320 W6,5461,TRF,664,BEG,1739,,0,320 W6,5461,TRF,664,GDN,668,,0,320 W6,5461,TRF,664,KTW,671,,0,320 W6,5461,TRF,664,LUZ,8832,,0,320 W6,5461,TRF,664,OTP,1657,,0,320 W6,5461,TRF,664,POZ,674,,0,320 W6,5461,TRF,664,RIX,3953,,0,320 W6,5461,TRF,664,SZZ,676,,0,320 W6,5461,TRF,664,VNO,3959,,0,320 W6,5461,TRF,664,WAW,679,,0,320 W6,5461,TRF,664,WRO,680,,0,320 W6,5461,TSF,1539,CLJ,1652,,0,320 W6,5461,TSF,1539,KIV,1735,,0,320 W6,5461,TSF,1539,OTP,1657,,0,320 W6,5461,TSF,1539,PRG,1587,,0,320 W6,5461,TSF,1539,SKP,1737,,0,320 W6,5461,TSF,1539,TSR,1663,,0,320 W6,5461,TSR,1663,BCN,1218,,0,320 W6,5461,TSR,1663,BGY,1525,,0,320 W6,5461,TSR,1663,BLQ,1538,,0,320 W6,5461,TSR,1663,BVA,1367,,0,320 W6,5461,TSR,1663,CIA,1553,,0,320 W6,5461,TSR,1663,DTM,373,,0,320 W6,5461,TSR,1663,LTN,492,,0,320 W6,5461,TSR,1663,MAD,1229,,0,320 W6,5461,TSR,1663,TSF,1539,,0,320 W6,5461,TSR,1663,VLC,1246,,0,320 W6,5461,TZL,\N,GSE,691,,0,320 W6,5461,TZL,\N,MLH,\N,,0,320 W6,5461,TZL,\N,MMX,708,,0,320 W6,5461,VAR,1196,LTN,492,,0,320 W6,5461,VKO,2988,BUD,1489,,0,320 W6,5461,VLC,1246,CLJ,1652,,0,320 W6,5461,VLC,1246,OTP,1657,,0,320 W6,5461,VLC,1246,SOF,1194,,0,320 W6,5461,VLC,1246,TSR,1663,,0,320 W6,5461,VNO,3959,AES,630,,0,320 W6,5461,VNO,3959,BCN,1218,,0,320 W6,5461,VNO,3959,BGO,636,,0,320 W6,5461,VNO,3959,BGY,1525,,0,320 W6,5461,VNO,3959,BVA,1367,,0,320 W6,5461,VNO,3959,DSA,5562,,0,320 W6,5461,VNO,3959,DTM,373,,0,320 W6,5461,VNO,3959,EIN,585,,0,320 W6,5461,VNO,3959,FCO,1555,,0,320 W6,5461,VNO,3959,KUT,3972,,0,320 W6,5461,VNO,3959,LTN,492,,0,320 W6,5461,VNO,3959,SVG,666,,0,320 W6,5461,VNO,3959,TLV,1590,,0,320 W6,5461,VNO,3959,TRF,664,,0,320 W6,5461,VRN,1550,OTP,1657,,0,320 W6,5461,WAW,679,BCN,1218,,0,320 W6,5461,WAW,679,BGY,1525,,0,320 W6,5461,WAW,679,BUD,1489,,0,320 W6,5461,WAW,679,BVA,1367,,0,320 W6,5461,WAW,679,CRL,304,,0,320 W6,5461,WAW,679,DSA,5562,,0,320 W6,5461,WAW,679,EIN,585,,0,320 W6,5461,WAW,679,FCO,1555,,0,320 W6,5461,WAW,679,GLA,534,,0,320 W6,5461,WAW,679,GSE,691,,0,320 W6,5461,WAW,679,HRK,6105,,0,320 W6,5461,WAW,679,KUT,3972,,0,320 W6,5461,WAW,679,LPL,491,,0,320 W6,5461,WAW,679,LTN,492,,0,320 W6,5461,WAW,679,MMX,708,,0,320 W6,5461,WAW,679,NYO,699,,0,320 W6,5461,WAW,679,TLV,1590,,0,320 W6,5461,WAW,679,TRF,664,,0,320 W6,5461,WRO,680,BVA,1367,,0,320 W6,5461,WRO,680,DSA,5562,,0,320 W6,5461,WRO,680,LTN,492,,0,320 W6,5461,WRO,680,TRF,664,,0,320 W6,5461,ZAZ,1252,CLJ,1652,,0,320 W6,5461,ZAZ,1252,OTP,1657,,0,320 W9,970,AKY,3235,RGN,3239,,0,AT7 W9,970,CNX,3931,RGN,3239,,0,AT7 W9,970,HEH,3213,MDL,3222,,0,AT7 W9,970,HEH,3213,RGN,3239,,0,AT7 W9,970,HEH,3213,THL,3237,,0,AT7 W9,970,KET,3215,RGN,3239,,0,AT7 W9,970,KYP,3217,RGN,3239,,0,AT7 W9,970,MDL,3222,HEH,3213,,0,AT7 W9,970,MDL,3222,MYT,3224,,0,AT7 W9,970,MDL,3222,NYU,3209,,0,AT7 W9,970,MDL,3222,RGN,3239,,0,AT7 W9,970,MYT,3224,MDL,3222,,0,AT7 W9,970,MYT,3224,PBU,3232,,0,AT7 W9,970,MYT,3224,RGN,3239,,0,AT7 W9,970,NYU,3209,HEH,3213,,0,AT7 W9,970,NYU,3209,MDL,3222,,0,AT7 W9,970,NYU,3209,RGN,3239,,0,AT7 W9,970,PBU,3232,MYT,3224,,0,AT7 W9,970,RGN,3239,AKY,3235,,0,AT7 W9,970,RGN,3239,CNX,3931,,0,AT7 W9,970,RGN,3239,HEH,3213,,0,AT7 W9,970,RGN,3239,KYP,3217,,0,AT7 W9,970,RGN,3239,MDL,3222,,0,AT7 W9,970,RGN,3239,MYT,3224,,0,AT7 W9,970,RGN,3239,NYU,3209,,0,AT7 W9,970,RGN,3239,THL,3237,,0,AT7 W9,970,THL,3237,HEH,3213,,0,AT7 W9,970,THL,3237,KET,3215,,0,AT7 W9,970,THL,3237,RGN,3239,,0,AT7 WB,4292,ACC,248,LOS,273,,0,738 WB,4292,BJM,1120,KGL,1165,,0,DH4 WB,4292,BRU,302,KGL,1165,,0,332 WB,4292,BZV,883,DLA,897,,0,73W WB,4292,BZV,883,KGL,1165,,0,73W WB,4292,DAR,1177,JRO,1180,,0,CRJ WB,4292,DAR,1177,KGL,1165,,0,CRJ WB,4292,DLA,897,BZV,883,,0,73W WB,4292,DLA,897,LBV,970,,0,738 73W WB,4292,DXB,2188,KGL,1165,,0,738 WB,4292,DXB,2188,MBA,1145,,0,738 WB,4292,EBB,1187,KGL,1165,,0,CRJ 738 DH4 WB,4292,IST,1701,KGL,1165,,0,739 WB,4292,JNB,813,KGL,1165,,0,73W WB,4292,JRO,1180,DAR,1177,,0,CRJ WB,4292,JRO,1180,KGL,1165,,0,CRJ WB,4292,JUB,1173,KGL,1165,,0,CRJ WB,4292,KGL,1165,BJM,1120,,0,DH4 WB,4292,KGL,1165,BRU,302,Y,0,332 WB,4292,KGL,1165,BZV,883,,0,73W WB,4292,KGL,1165,DAR,1177,,0,CRJ WB,4292,KGL,1165,DXB,2188,,0,738 WB,4292,KGL,1165,EBB,1187,,0,CRJ 738 DH4 WB,4292,KGL,1165,IST,1701,,0,739 WB,4292,KGL,1165,JNB,813,,0,73W WB,4292,KGL,1165,JRO,1180,,0,CRJ WB,4292,KGL,1165,JUB,1173,,0,CRJ WB,4292,KGL,1165,KME,1166,,0,DH4 WB,4292,KGL,1165,LBV,970,,0,73W 738 WB,4292,KGL,1165,LOS,273,,0,73W 738 WB,4292,KGL,1165,MBA,1145,,0,738 WB,4292,KGL,1165,NBO,4059,,0,CRJ WB,4292,KME,1166,KGL,1165,,0,DH4 WB,4292,LBV,970,DLA,897,,0,73W 738 WB,4292,LBV,970,KGL,1165,,0,738 73W WB,4292,LOS,273,ACC,248,,0,73W WB,4292,LOS,273,KGL,1165,,0,738 73W WB,4292,MBA,1145,DXB,2188,,0,738 WB,4292,MBA,1145,KGL,1165,,0,738 WB,4292,NBO,4059,KGL,1165,,0,CRJ WF,5439,ABZ,532,BGO,636,,0,DH4 DH3 WF,5439,ABZ,532,SVG,666,,0,DH4 WF,5439,AES,630,BGO,636,,0,DH3 DH4 WF,5439,ALF,632,HFT,4325,,0,DH2 WF,5439,ALF,632,KKN,649,,0,DH1 WF,5439,ALF,632,LKL,653,,0,DH3 DH1 WF,5439,ALF,632,SOJ,5588,,0,DH1 DH2 WF,5439,ALF,632,TOS,663,,0,DH1 DH3 DH2 WF,5439,ALF,632,VDS,4328,,0,DH2 DH1 WF,5439,ANX,631,BOO,635,,0,DH1 DH3 DH2 WF,5439,ANX,631,EVE,641,,0,DH3 DH1 WF,5439,ANX,631,TOS,663,,0,DH1 DH3 DH2 WF,5439,BGO,636,ABZ,532,,0,DH4 DH3 WF,5439,BGO,636,AES,630,,0,DH3 DH4 WF,5439,BGO,636,BNN,634,,0,DH3 DH1 WF,5439,BGO,636,BOO,635,,0,DH4 WF,5439,BGO,636,FDE,4389,,0,DH1 WF,5439,BGO,636,FRO,643,,0,DH3 DH1 WF,5439,BGO,636,HAU,645,,0,DH4 DH3 WF,5439,BGO,636,HOV,4345,,0,DH1 WF,5439,BGO,636,KRS,638,,0,DH4 DH3 WF,5439,BGO,636,KSU,647,,0,DH4 DH3 WF,5439,BGO,636,MOL,651,,0,DH3 DH4 WF,5439,BGO,636,SKE,659,,0,DH3 DH1 WF,5439,BGO,636,SOG,5586,,0,DH1 WF,5439,BGO,636,SVG,666,,0,DH4 WF,5439,BGO,636,TOS,663,,0,DH4 WF,5439,BGO,636,TRF,664,,0,DH4 DH3 WF,5439,BJF,637,BVG,4350,,0,DH1 DH2 WF,5439,BJF,637,HFT,4325,,0,DH2 WF,5439,BJF,637,MEH,4327,,0,DH2 WF,5439,BJF,637,VAW,5589,,0,DH2 DH1 WF,5439,BJF,637,VDS,4328,,0,DH2 WF,5439,BNN,634,BGO,636,,0,DH1 WF,5439,BNN,634,MQN,5582,,0,DH1 WF,5439,BNN,634,OSL,644,,0,DH3 DH1 WF,5439,BNN,634,SSJ,662,,0,DH1 WF,5439,BNN,634,TRD,665,,0,DH1 DH2 WF,5439,BOO,635,ANX,631,,0,DH1 DH3 WF,5439,BOO,635,BGO,636,,0,DH4 WF,5439,BOO,635,BNN,634,,0,DH1 WF,5439,BOO,635,EVE,641,,0,DH3 DH1 WF,5439,BOO,635,LKN,5580,,0,DH1 DH2 WF,5439,BOO,635,MJF,652,,0,DH1 WF,5439,BOO,635,MQN,5582,,0,DH1 DH2 WF,5439,BOO,635,NVK,4349,,0,DH1 DH2 WF,5439,BOO,635,RET,5584,,0,DH1 WF,5439,BOO,635,SKN,4252,,0,DH1 DH2 WF,5439,BOO,635,SSJ,662,,0,DH1 DH2 WF,5439,BOO,635,SVJ,5587,,0,DH1 WF,5439,BOO,635,TOS,663,,0,DH4 WF,5439,BOO,635,TRD,665,,0,DH3 WF,5439,BVG,4350,BJF,637,,0,DH2 DH1 WF,5439,BVG,4350,HFT,4325,,0,DH1 WF,5439,BVG,4350,MEH,4327,,0,DH2 WF,5439,BVG,4350,VDS,4328,,0,DH1 WF,5439,CPH,609,HAU,645,,0,DH4 WF,5439,CPH,609,KRS,638,,0,DH4 WF,5439,CPH,609,MOL,651,,0,DH4 WF,5439,CPH,609,TRF,664,,0,DH4 WF,5439,EVE,641,ANX,631,,0,DH3 DH1 WF,5439,EVE,641,BOO,635,,0,DH3 DH1 WF,5439,EVE,641,TOS,663,,0,DH3 DH1 DH2 WF,5439,EVE,641,TRD,665,,0,DH3 WF,5439,FDE,4389,BGO,636,,0,DH1 WF,5439,FDE,4389,OSL,644,,0,DH1 WF,5439,FRO,643,BGO,636,,0,DH3 DH1 WF,5439,FRO,643,FDE,4389,,0,DH1 WF,5439,FRO,643,HOV,4345,,0,DH1 WF,5439,FRO,643,KSU,647,,0,DH3 WF,5439,FRO,643,OSL,644,,0,DH1 DH3 WF,5439,GOT,687,OSL,644,,0,DH3 WF,5439,HAA,646,HFT,4325,,0,DH2 WF,5439,HAA,646,TOS,663,,0,DH2 DH1 WF,5439,HAU,645,BGO,636,,0,DH4 DH3 WF,5439,HAU,645,CPH,609,,0,DH4 WF,5439,HFT,4325,ALF,632,,0,DH1 DH2 WF,5439,HFT,4325,BVG,4350,,0,DH2 DH1 WF,5439,HFT,4325,HAA,646,,0,DH2 DH1 WF,5439,HFT,4325,HVG,4326,,0,DH1 DH2 WF,5439,HFT,4325,MEH,4327,,0,DH1 WF,5439,HFT,4325,SOJ,5588,,0,DH2 WF,5439,HFT,4325,TOS,663,,0,DH2 DH1 WF,5439,HOV,4345,BGO,636,,0,DH1 WF,5439,HOV,4345,FRO,643,,0,DH1 WF,5439,HOV,4345,OSL,644,,0,DH1 WF,5439,HOV,4345,SOG,5586,,0,DH1 WF,5439,HVG,4326,BVG,4350,,0,DH2 WF,5439,HVG,4326,HFT,4325,,0,DH2 DH1 WF,5439,HVG,4326,MEH,4327,,0,DH2 DH1 WF,5439,KKN,649,ALF,632,,0,DH2 WF,5439,KKN,649,LKL,653,,0,DH2 WF,5439,KKN,649,TOS,663,,0,DH4 DH2 DH3 DH1 WF,5439,KKN,649,VAW,5589,,0,DH2 WF,5439,KKN,649,VDS,4328,,0,DH1 DH2 WF,5439,KRS,638,BGO,636,,0,DH4 DH3 WF,5439,KRS,638,CPH,609,,0,DH4 WF,5439,KRS,638,SVG,666,,0,DH3 WF,5439,KRS,638,TRD,665,,0,DH4 DH3 WF,5439,KSU,647,BGO,636,,0,DH3 DH4 WF,5439,KSU,647,MOL,651,,0,DH3 WF,5439,KSU,647,SVG,666,,0,DH3 WF,5439,KSU,647,TRD,665,,0,DH1 DH2 WF,5439,LKL,653,TOS,663,,0,DH2 DH3 DH1 WF,5439,LKN,5580,BOO,635,,0,DH1 DH2 WF,5439,LKN,5580,RET,5584,,0,DH1 DH2 WF,5439,LKN,5580,SVJ,5587,,0,DH1 WF,5439,MEH,4327,ALF,632,,0,DH2 WF,5439,MEH,4327,BVG,4350,,0,DH1 WF,5439,MEH,4327,HFT,4325,,0,DH2 WF,5439,MEH,4327,HVG,4326,,0,DH2 DH1 WF,5439,MEH,4327,VDS,4328,,0,DH2 DH1 WF,5439,MJF,652,BOO,635,,0,DH2 DH1 WF,5439,MJF,652,MQN,5582,,0,DH1 DH2 WF,5439,MJF,652,OSY,5581,,0,DH1 WF,5439,MJF,652,SSJ,662,,0,DH1 WF,5439,MJF,652,TRD,665,,0,DH1 WF,5439,MOL,651,BGO,636,,0,DH3 DH4 WF,5439,MOL,651,CPH,609,,0,DH4 WF,5439,MOL,651,KSU,647,,0,DH3 WF,5439,MQN,5582,BOO,635,,0,DH1 DH2 WF,5439,MQN,5582,MJF,652,,0,DH1 WF,5439,MQN,5582,RVK,5583,,0,DH1 WF,5439,MQN,5582,TRD,665,,0,DH1 DH2 WF,5439,NCL,521,SVG,666,,0,DH4 WF,5439,NVK,4349,BOO,635,,0,DH1 DH2 WF,5439,OSL,644,BNN,634,,0,DH1 DH3 WF,5439,OSL,644,FDE,4389,,0,DH1 WF,5439,OSL,644,FRO,643,,0,DH1 DH3 WF,5439,OSL,644,GOT,687,,0,DH3 WF,5439,OSL,644,HOV,4345,,0,DH1 WF,5439,OSL,644,RRS,656,,0,DH1 WF,5439,OSL,644,SDN,5585,,0,DH1 WF,5439,OSL,644,SOG,5586,,0,DH1 WF,5439,OSL,644,SSJ,662,,0,DH1 WF,5439,OSY,5581,MJF,652,,0,DH2 DH1 WF,5439,OSY,5581,RVK,5583,,0,DH1 DH2 WF,5439,OSY,5581,TRD,665,,0,DH1 WF,5439,RET,5584,BOO,635,,0,DH1 DH2 WF,5439,RET,5584,LKN,5580,,0,DH1 WF,5439,RRS,656,OSL,644,,0,DH1 WF,5439,RVK,5583,MQN,5582,,0,DH1 WF,5439,RVK,5583,OSY,5581,,0,DH1 WF,5439,RVK,5583,TRD,665,,0,DH1 DH2 WF,5439,SDN,5585,OSL,644,,0,DH1 WF,5439,SDN,5585,SOG,5586,,0,DH1 WF,5439,SKE,659,BGO,636,,0,DH3 DH1 WF,5439,SKN,4252,ANX,631,,0,DH1 WF,5439,SKN,4252,BOO,635,,0,DH1 DH2 WF,5439,SKN,4252,SVJ,5587,,0,DH2 DH1 WF,5439,SKN,4252,TOS,663,,0,DH1 DH2 WF,5439,SOG,5586,BGO,636,,0,DH1 WF,5439,SOG,5586,HOV,4345,,0,DH1 WF,5439,SOG,5586,OSL,644,,0,DH1 WF,5439,SOG,5586,SDN,5585,,0,DH1 WF,5439,SOJ,5588,HFT,4325,,0,DH1 DH2 WF,5439,SOJ,5588,TOS,663,,0,DH1 DH2 WF,5439,SSJ,662,BNN,634,,0,DH1 DH2 WF,5439,SSJ,662,BOO,635,,0,DH1 WF,5439,SSJ,662,OSL,644,,0,DH1 WF,5439,SSJ,662,TRD,665,,0,DH1 WF,5439,SVG,666,ABZ,532,,0,DH4 WF,5439,SVG,666,BGO,636,,0,DH4 WF,5439,SVG,666,FRO,643,,0,DH3 WF,5439,SVG,666,KRS,638,,0,DH3 WF,5439,SVG,666,KSU,647,,0,DH3 WF,5439,SVG,666,NCL,521,,0,DH4 WF,5439,SVG,666,TRF,664,,0,DH4 DH3 WF,5439,SVJ,5587,BOO,635,,0,DH1 DH2 WF,5439,SVJ,5587,LKN,5580,,0,DH1 WF,5439,SVJ,5587,SKN,4252,,0,DH1 WF,5439,TOS,663,ALF,632,,0,DH1 DH3 DH2 WF,5439,TOS,663,ANX,631,,0,DH1 DH3 DH2 WF,5439,TOS,663,BGO,636,,0,DH4 WF,5439,TOS,663,BOO,635,,0,DH4 WF,5439,TOS,663,EVE,641,,0,DH1 DH3 DH2 WF,5439,TOS,663,HAA,646,,0,DH2 WF,5439,TOS,663,HFT,4325,,0,DH2 DH1 WF,5439,TOS,663,KKN,649,,0,DH4 DH2 DH3 DH1 WF,5439,TOS,663,LKL,653,,0,DH2 DH3 DH1 WF,5439,TOS,663,SKN,4252,,0,DH2 DH1 WF,5439,TOS,663,SOJ,5588,,0,DH1 DH2 WF,5439,TOS,663,TRD,665,,0,DH4 WF,5439,TOS,663,VDS,4328,,0,DH2 DH1 WF,5439,TRD,665,BNN,634,,0,DH1 DH2 WF,5439,TRD,665,BOO,635,,0,DH3 WF,5439,TRD,665,EVE,641,,0,DH3 WF,5439,TRD,665,KRS,638,,0,DH4 DH3 WF,5439,TRD,665,KSU,647,,0,DH1 DH2 WF,5439,TRD,665,MJF,652,,0,DH1 DH2 WF,5439,TRD,665,MQN,5582,,0,DH1 WF,5439,TRD,665,OSY,5581,,0,DH1 DH2 WF,5439,TRD,665,RVK,5583,,0,DH1 WF,5439,TRD,665,SSJ,662,,0,DH1 WF,5439,TRD,665,TOS,663,,0,DH4 WF,5439,TRD,665,TRF,664,,0,DH4 WF,5439,TRF,664,BGO,636,,0,DH4 DH3 WF,5439,TRF,664,CPH,609,,0,DH4 WF,5439,TRF,664,SVG,666,,0,DH4 DH3 WF,5439,TRF,664,TRD,665,,0,DH4 WF,5439,VAW,5589,BJF,637,,0,DH2 DH1 WF,5439,VAW,5589,KKN,649,,0,DH1 DH2 WF,5439,VAW,5589,VDS,4328,,0,DH2 DH1 WF,5439,VDS,4328,ALF,632,,0,DH1 DH2 WF,5439,VDS,4328,BJF,637,,0,DH2 WF,5439,VDS,4328,HFT,4325,,0,DH2 DH1 WF,5439,VDS,4328,KKN,649,,0,DH2 DH1 WF,5439,VDS,4328,MEH,4327,,0,DH2 DH1 WF,5439,VDS,4328,TOS,663,,0,DH1 DH2 WF,5439,VDS,4328,VAW,5589,,0,DH1 DH2 WJ,5399,YBX,5485,YIF,6789,,0,DHT BE1 WJ,5399,YDP,5488,YNP,\N,,0,DHT WJ,5399,YDP,5488,YYR,188,,0,DHT WJ,5399,YHO,5502,YNP,\N,,0,DHT WJ,5399,YHO,5502,YSO,7252,,0,DHT WJ,5399,YHR,5503,YIF,6789,,0,BE1 WJ,5399,YHR,5503,YNA,94,,0,BE1 WJ,5399,YHR,5503,ZGS,\N,,0,DHT BE1 WJ,5399,YHR,5503,ZTB,5473,,0,DHT WJ,5399,YIF,6789,YBX,5485,,0,BE1 DHT WJ,5399,YIF,6789,YHR,5503,,0,BE1 WJ,5399,YIF,6789,ZLT,5474,,0,DHT WJ,5399,YMN,5492,YRG,5461,,0,DHT WJ,5399,YMN,5492,YSO,7252,,0,DHT WJ,5399,YNA,94,YHR,5503,,0,BE1 WJ,5399,YNA,94,YZV,202,,0,BE1 WJ,5399,YNA,94,ZGS,\N,,0,DHT WJ,5399,YNA,94,ZKG,8217,,0,DHT WJ,5399,YNP,\N,YDP,5488,,0,DHT WJ,5399,YNP,\N,YHO,5502,,0,DHT WJ,5399,YRG,5461,YMN,5492,,0,DHT WJ,5399,YRG,5461,YYR,188,,0,DHT WJ,5399,YSO,7252,YHO,5502,,0,DHT WJ,5399,YSO,7252,YMN,5492,,0,DHT WJ,5399,YYR,188,YDP,5488,,0,DHT WJ,5399,YYR,188,YRG,5461,,0,DHT WJ,5399,YZV,202,YNA,94,,0,BE1 WJ,5399,YZV,202,ZGS,\N,,0,BE1 WJ,5399,ZGS,\N,YHR,5503,,0,DHT BE1 WJ,5399,ZGS,\N,YNA,94,,0,DHT WJ,5399,ZGS,\N,YZV,202,,0,BE1 WJ,5399,ZGS,\N,ZKG,8217,,0,DHT WJ,5399,ZKG,8217,YNA,94,,0,DHT WJ,5399,ZKG,8217,ZGS,\N,,0,DHT WJ,5399,ZLT,5474,YIF,6789,,0,DHT WJ,5399,ZLT,5474,ZTB,5473,,0,DHT WJ,5399,ZTB,5473,YHR,5503,,0,DHT WJ,5399,ZTB,5473,ZLT,5474,,0,DHT WM,16149,AXA,2900,SXM,2899,,0,DHT WM,16149,CUR,2897,SDQ,1762,,0,AT4 WM,16149,DOM,2877,PTP,2881,,0,AT4 WM,16149,DOM,2877,SXM,2899,,0,AT4 WM,16149,EIS,2903,SXM,2899,,0,DHT WM,16149,EUX,2898,SXM,2899,,0,DHT WM,16149,NEV,6079,SKB,2891,,0,DHT WM,16149,NEV,6079,SXM,2899,,0,DHT WM,16149,PTP,2881,DOM,2877,,0,AT4 WM,16149,SAB,4249,SXM,2899,,0,DHT WM,16149,SBH,6460,SAB,4249,,0,DHT WM,16149,SBH,6460,SXM,2899,,0,DHT WM,16149,SDQ,1762,CUR,2897,,0,AT4 WM,16149,SDQ,1762,SXM,2899,,0,AT4 WM,16149,SKB,2891,NEV,6079,,0,DHT WM,16149,SKB,2891,SXM,2899,,0,DHT WM,16149,SXM,2899,AXA,2900,,0,DHT WM,16149,SXM,2899,DOM,2877,,0,AT4 WM,16149,SXM,2899,EIS,2903,,0,DHT WM,16149,SXM,2899,EUX,2898,,0,DHT WM,16149,SXM,2899,NEV,6079,,0,DHT WM,16149,SXM,2899,SAB,4249,,0,DHT WM,16149,SXM,2899,SBH,6460,,0,DHT WM,16149,SXM,2899,SDQ,1762,,0,AT4 WM,16149,SXM,2899,SKB,2891,,0,DHT WN,4547,ABQ,4019,BWI,3849,,0,73W WN,4547,ABQ,4019,DAL,3502,,0,73W 73C 733 735 WN,4547,ABQ,4019,DEN,3751,,0,73W 73C WN,4547,ABQ,4019,HOU,3566,,0,73W 735 73C WN,4547,ABQ,4019,LAS,3877,,0,73C 73W 733 WN,4547,ABQ,4019,LAX,3484,,0,73C 73W WN,4547,ABQ,4019,MCI,3458,,0,73W 73C WN,4547,ABQ,4019,MDW,3747,,0,73W WN,4547,ABQ,4019,OAK,3453,,0,73W 733 73C WN,4547,ABQ,4019,PDX,3720,,0,73W WN,4547,ABQ,4019,PHX,3462,,0,73W 733 73C WN,4547,ABQ,4019,SAN,3731,,0,73C 733 73W WN,4547,ABQ,4019,SEA,3577,,0,73W WN,4547,ALB,3864,BWI,3849,,0,73W WN,4547,ALB,3864,FLL,3533,,0,73W WN,4547,ALB,3864,LAS,3877,,0,73W WN,4547,ALB,3864,MCO,3878,,0,73W WN,4547,ALB,3864,MDW,3747,,0,73W 73H WN,4547,ALB,3864,TPA,3646,,0,73W WN,4547,AMA,3840,DAL,3502,,0,735 733 73W 73C WN,4547,AMA,3840,DEN,3751,,0,735 73W WN,4547,AMA,3840,LAS,3877,,0,735 733 WN,4547,ATL,3682,AUA,2895,Y,0,73G WN,4547,ATL,3682,AUS,3673,,0,733 73W WN,4547,ATL,3682,BDL,3825,Y,0,717 WN,4547,ATL,3682,BOS,3448,,0,73W WN,4547,ATL,3682,BWI,3849,,0,73W 73C WN,4547,ATL,3682,CAK,4112,,0,73W 73C WN,4547,ATL,3682,CHS,3806,,0, WN,4547,ATL,3682,CMH,3759,Y,0,717 WN,4547,ATL,3682,CUN,1852,Y,0,73G WN,4547,ATL,3682,DAY,3627,Y,0,717 WN,4547,ATL,3682,DCA,3520,,0,73W WN,4547,ATL,3682,DEN,3751,,0,73W WN,4547,ATL,3682,DTW,3645,Y,0,717 73G WN,4547,ATL,3682,FLL,3533,,0, 73W 733 73C WN,4547,ATL,3682,HOU,3566,,0,73C 73W 733 WN,4547,ATL,3682,IND,3585,Y,0,717 WN,4547,ATL,3682,JAX,3712,,0,73C WN,4547,ATL,3682,LAS,3877,,0,73W WN,4547,ATL,3682,LAX,3484,,0,73W WN,4547,ATL,3682,LGA,3697,,0,73W WN,4547,ATL,3682,MBJ,1780,Y,0,73G WN,4547,ATL,3682,MCI,3458,,0,733 73W WN,4547,ATL,3682,MCO,3878,,0,73W 733 73C WN,4547,ATL,3682,MDW,3747,,0,73W WN,4547,ATL,3682,MKE,3717,Y,0,717 73G WN,4547,ATL,3682,MSP,3858,Y,0,717 WN,4547,ATL,3682,MSY,3861,,0,73W WN,4547,ATL,3682,NAS,1953,Y,0,73G WN,4547,ATL,3682,OKC,3863,Y,0,717 WN,4547,ATL,3682,ORF,3611,Y,0,717 WN,4547,ATL,3682,PBI,3722,,0,733 73W WN,4547,ATL,3682,PHL,3752,,0,733 73W WN,4547,ATL,3682,PHX,3462,,0,73W WN,4547,ATL,3682,PIT,3570,Y,0,717 73G WN,4547,ATL,3682,PUJ,1760,Y,0,73G WN,4547,ATL,3682,RDU,3626,Y,0,717 WN,4547,ATL,3682,RIC,3608,Y,0,717 WN,4547,ATL,3682,RSW,3793,,0,73C WN,4547,ATL,3682,SAN,3731,,0,73W WN,4547,ATL,3682,SAT,3621,,0,73W WN,4547,ATL,3682,SDF,4014,,0,73W WN,4547,ATL,3682,SFO,3469,,0,73W WN,4547,ATL,3682,SJU,2890,,0,73W WN,4547,ATL,3682,STL,3678,,0,73W 733 WN,4547,ATL,3682,TPA,3646,,0,73W 733 73C WN,4547,AUA,2895,ATL,3682,Y,0,73G WN,4547,AUS,3673,ATL,3682,,0,73W WN,4547,AUS,3673,BNA,3690,,0,73W WN,4547,AUS,3673,BWI,3849,,0,73W WN,4547,AUS,3673,DAL,3502,,0,735 73W 733 73C WN,4547,AUS,3673,DCA,3520,,0,73W WN,4547,AUS,3673,DEN,3751,,0,73W 733 73C WN,4547,AUS,3673,ELP,3559,,0,73W 735 WN,4547,AUS,3673,EWR,3494,,0,73W WN,4547,AUS,3673,FLL,3533,,0,73W WN,4547,AUS,3673,HOU,3566,,0,73W 735 73C WN,4547,AUS,3673,HRL,3560,,0,735 73W WN,4547,AUS,3673,LAS,3877,,0,733 73H 73W 73C WN,4547,AUS,3673,LAX,3484,,0,73C 73W WN,4547,AUS,3673,LBB,3829,,0,73W 735 WN,4547,AUS,3673,MCO,3878,,0,733 73C 73W WN,4547,AUS,3673,MDW,3747,,0,73W WN,4547,AUS,3673,MSY,3861,,0,73W 735 WN,4547,AUS,3673,OAK,3453,,0,73W WN,4547,AUS,3673,PHX,3462,,0,73W 73C 733 WN,4547,AUS,3673,SAN,3731,,0,73C 73W WN,4547,AUS,3673,SJC,3748,,0,73W 733 73C WN,4547,AUS,3673,TPA,3646,,0,73W WN,4547,BDL,3825,ATL,3682,Y,0,717 WN,4547,BDL,3825,BWI,3849,,0,738 73C 73W 733 73H WN,4547,BDL,3825,DEN,3751,,0,73W WN,4547,BDL,3825,FLL,3533,,0,73W WN,4547,BDL,3825,LAS,3877,,0,73W WN,4547,BDL,3825,MCO,3878,,0,73W 738 73C WN,4547,BDL,3825,MDW,3747,,0,73W WN,4547,BDL,3825,RSW,3793,,0,73W WN,4547,BDL,3825,TPA,3646,,0,73C 73W WN,4547,BHM,3811,BWI,3849,,0,73W WN,4547,BHM,3811,DAL,3502,,0,73W 73C WN,4547,BHM,3811,HOU,3566,,0,73W WN,4547,BHM,3811,LAS,3877,,0,73W WN,4547,BHM,3811,MCO,3878,,0,73W WN,4547,BHM,3811,MDW,3747,,0,73W WN,4547,BHM,3811,TPA,3646,,0,73W 73C WN,4547,BKG,6962,DAL,3502,,0,73W WN,4547,BKG,6962,HOU,3566,,0,73W 733 WN,4547,BKG,6962,MDW,3747,,0,73W WN,4547,BNA,3690,AUS,3673,,0,733 73W 735 WN,4547,BNA,3690,BOS,3448,,0,73W 73C 733 WN,4547,BNA,3690,BWI,3849,,0,738 73W 73C 733 WN,4547,BNA,3690,CHS,3806,,0,73W WN,4547,BNA,3690,CLE,3486,,0,73W WN,4547,BNA,3690,CMH,3759,,0,73W 73C WN,4547,BNA,3690,DEN,3751,,0,73W WN,4547,BNA,3690,DTW,3645,,0,73C 73W 73H WN,4547,BNA,3690,ECP,7669,,0,73W WN,4547,BNA,3690,EWR,3494,,0,73W WN,4547,BNA,3690,FLL,3533,,0,73C 73W 73H WN,4547,BNA,3690,GSP,4034,,0,73C WN,4547,BNA,3690,HOU,3566,,0,735 73C 73W WN,4547,BNA,3690,JAX,3712,,0,73W 73C 733 WN,4547,BNA,3690,LAS,3877,,0,73W 73H WN,4547,BNA,3690,LAX,3484,,0,73W 73H WN,4547,BNA,3690,LGA,3697,,0,73W WN,4547,BNA,3690,MCI,3458,,0,73W 73C 733 WN,4547,BNA,3690,MCO,3878,,0,73W 73C 733 WN,4547,BNA,3690,MDW,3747,,0,73W 738 73H WN,4547,BNA,3690,MSY,3861,,0,73W 73C 733 WN,4547,BNA,3690,PHL,3752,,0,73W 73C 733 WN,4547,BNA,3690,PHX,3462,,0,73W WN,4547,BNA,3690,PIT,3570,,0,73C 733 WN,4547,BNA,3690,PNS,3564,,0,73W WN,4547,BNA,3690,RDU,3626,,0,733 73W 73C WN,4547,BNA,3690,SAN,3731,,0,73W WN,4547,BNA,3690,SAT,3621,,0,73W WN,4547,BNA,3690,STL,3678,,0,73W 73C WN,4547,BNA,3690,TPA,3646,,0,73W 73C WN,4547,BOI,3495,DEN,3751,,0,73W WN,4547,BOI,3495,GEG,3467,,0,73W WN,4547,BOI,3495,LAS,3877,,0,73W 73C WN,4547,BOI,3495,OAK,3453,,0,73W 73C WN,4547,BOI,3495,PHX,3462,,0,73W WN,4547,BOS,3448,ATL,3682,,0,73W WN,4547,BOS,3448,BNA,3690,,0,73W 73C WN,4547,BOS,3448,BWI,3849,,0,73W 73C 733 WN,4547,BOS,3448,CAK,4112,Y,0,717 WN,4547,BOS,3448,DEN,3751,,0,73W WN,4547,BOS,3448,HOU,3566,,0,73W WN,4547,BOS,3448,MCI,3458,,0,73W WN,4547,BOS,3448,MCO,3878,,1,73W WN,4547,BOS,3448,MDW,3747,,0,73W 733 WN,4547,BOS,3448,MKE,3717,,0,73W WN,4547,BOS,3448,STL,3678,,0,73W WN,4547,BUF,3820,BWI,3849,,0,73W 733 73C WN,4547,BUF,3820,FLL,3533,,0,73W WN,4547,BUF,3820,LAS,3877,,0,73H 738 WN,4547,BUF,3820,MCO,3878,,0,73C 73W WN,4547,BUF,3820,MDW,3747,,0,738 73W 73H WN,4547,BUF,3820,PHX,3462,,0,73W WN,4547,BUF,3820,TPA,3646,,0,73W WN,4547,BUR,3644,DEN,3751,,0,73W WN,4547,BUR,3644,LAS,3877,,0,73W WN,4547,BUR,3644,OAK,3453,,0,73W 73H WN,4547,BUR,3644,PHX,3462,,0,73W WN,4547,BUR,3644,SJC,3748,,0,73W WN,4547,BUR,3644,SMF,3817,,0,73W WN,4547,BWI,3849,ABQ,4019,,0,73W WN,4547,BWI,3849,ALB,3864,,0,73W WN,4547,BWI,3849,ATL,3682,,0,73W 733 73C WN,4547,BWI,3849,AUS,3673,,0,73W 73C WN,4547,BWI,3849,BDL,3825,,0,73W 738 73C 733 WN,4547,BWI,3849,BHM,3811,,0,73C 73W WN,4547,BWI,3849,BNA,3690,,0,733 73C 73W WN,4547,BWI,3849,BOS,3448,,0,73W 73C 733 WN,4547,BWI,3849,BUF,3820,,0,73C 73W 738 WN,4547,BWI,3849,CHS,3806,,0,73W 73C WN,4547,BWI,3849,CLE,3486,,0,73C 733 73W WN,4547,BWI,3849,CLT,3876,,0,73W WN,4547,BWI,3849,CMH,3759,,0,73W WN,4547,BWI,3849,DAY,3627,,0,73W 73C WN,4547,BWI,3849,DEN,3751,,0,73W WN,4547,BWI,3849,DTW,3645,,0,73W 73C WN,4547,BWI,3849,ECP,7669,,0,73W 73C WN,4547,BWI,3849,FLL,3533,,0,73W 73C 733 WN,4547,BWI,3849,FNT,4089,,0,73W WN,4547,BWI,3849,GRR,3685,,0,73W 73C WN,4547,BWI,3849,GSP,4034,,0,73C 73W WN,4547,BWI,3849,HOU,3566,,0,733 73H 73W 73C 738 WN,4547,BWI,3849,IND,3585,,0,73W 73C 733 WN,4547,BWI,3849,ISP,3857,,0,73W WN,4547,BWI,3849,JAX,3712,,0,733 73W 73C WN,4547,BWI,3849,LAS,3877,,0,73H 73W 738 WN,4547,BWI,3849,LAX,3484,,0,738 73H WN,4547,BWI,3849,LIT,3660,,0,73C 73W WN,4547,BWI,3849,MCI,3458,,0,73W 73C 733 WN,4547,BWI,3849,MCO,3878,,0,733 73W 73C 738 73H WN,4547,BWI,3849,MDW,3747,,0,73W 73H WN,4547,BWI,3849,MEM,3473,,0,73C 73W WN,4547,BWI,3849,MHT,4011,,0,73W 733 73C 73H WN,4547,BWI,3849,MKE,3717,,0,733 73W 73C WN,4547,BWI,3849,MSY,3861,,0,73H 733 73W WN,4547,BWI,3849,OKC,3863,,0,733 73C WN,4547,BWI,3849,ORF,3611,,0,73C 73W WN,4547,BWI,3849,PBI,3722,,0,73W 733 WN,4547,BWI,3849,PHX,3462,,0,73W 738 WN,4547,BWI,3849,PIT,3570,,0,73W 73C WN,4547,BWI,3849,PVD,3641,,0,73W 73C 738 73H WN,4547,BWI,3849,PWM,3862,,0,73W 73C WN,4547,BWI,3849,RDU,3626,,0,73W 73C 733 WN,4547,BWI,3849,ROC,3622,,0,73W WN,4547,BWI,3849,RSW,3793,,0,73W 73C 733 WN,4547,BWI,3849,SAN,3731,,0,73H 73W 738 WN,4547,BWI,3849,SAT,3621,,0,73W WN,4547,BWI,3849,SDF,4014,,0,73W 73C WN,4547,BWI,3849,SEA,3577,,0,73W WN,4547,BWI,3849,SJU,2890,,0,738 73W WN,4547,BWI,3849,SLC,3536,,0,73W WN,4547,BWI,3849,STL,3678,,0,73W 73H 733 WN,4547,BWI,3849,TPA,3646,,0,73C 73W 738 73H WN,4547,CAK,4112,ATL,3682,,0,73W 73C WN,4547,CAK,4112,BOS,3448,Y,0,717 WN,4547,CAK,4112,DEN,3751,,0,73W WN,4547,CAK,4112,LGA,3697,,0,73W WN,4547,CAK,4112,MCO,3878,Y,0,717 WN,4547,CAK,4112,TPA,3646,Y,0,717 WN,4547,CHS,3806,BNA,3690,,0,73C 73W WN,4547,CHS,3806,BWI,3849,,0,73W 73C WN,4547,CHS,3806,HOU,3566,,0,73W WN,4547,CHS,3806,MDW,3747,,0,73W WN,4547,CLE,3486,BNA,3690,,0,73W 73C WN,4547,CLE,3486,BWI,3849,,0,73C 733 73W WN,4547,CLE,3486,LAS,3877,,0,73W WN,4547,CLE,3486,MDW,3747,,0,73W WN,4547,CLT,3876,BWI,3849,,0,73W WN,4547,CLT,3876,HOU,3566,,0,733 73W WN,4547,CLT,3876,MCO,3878,,0,73W 733 WN,4547,CLT,3876,MDW,3747,,0,73W WN,4547,CMH,3759,ATL,3682,Y,0,717 WN,4547,CMH,3759,BNA,3690,,0,73W 73C WN,4547,CMH,3759,BWI,3849,,0,73W 73C 733 WN,4547,CMH,3759,DEN,3751,,0,73W WN,4547,CMH,3759,FLL,3533,,0,73W WN,4547,CMH,3759,LAS,3877,,0,73H WN,4547,CMH,3759,MCO,3878,,0,73W 73C 733 WN,4547,CMH,3759,MDW,3747,,0,73W 73H WN,4547,CMH,3759,PHX,3462,,0,73W WN,4547,CMH,3759,RSW,3793,,0,73W WN,4547,CMH,3759,STL,3678,,0,733 73C 73W WN,4547,CMH,3759,TPA,3646,,0,73C 73W 733 WN,4547,CRP,3744,HOU,3566,,0,735 733 WN,4547,CUN,1852,ATL,3682,Y,0,73G WN,4547,DAL,3502,ABQ,4019,,0,73C 733 73W WN,4547,DAL,3502,AMA,3840,,0,735 733 73W WN,4547,DAL,3502,AUS,3673,,0,73W 733 735 73C WN,4547,DAL,3502,BHM,3811,,0,73W 73C WN,4547,DAL,3502,BKG,6962,,0,73W WN,4547,DAL,3502,ELP,3559,,0,735 73W 73C WN,4547,DAL,3502,HOU,3566,,0,73C 73W 735 733 WN,4547,DAL,3502,HRL,3560,,0,733 735 WN,4547,DAL,3502,ICT,3457,,0,73W 73C WN,4547,DAL,3502,LBB,3829,,0,735 73W 73C WN,4547,DAL,3502,LIT,3660,,0,73W 733 735 WN,4547,DAL,3502,MAF,3652,,0,735 73W WN,4547,DAL,3502,MCI,3458,,0,73W 73C 733 WN,4547,DAL,3502,MSY,3861,,0,73W 73C 735 WN,4547,DAL,3502,OKC,3863,,0,73W 73C 733 WN,4547,DAL,3502,SAT,3621,,0,73W 735 73C 733 WN,4547,DAL,3502,STL,3678,,0,73C 73W 733 WN,4547,DAL,3502,TUL,3855,,0,73W 735 WN,4547,DAY,3627,ATL,3682,Y,0,717 WN,4547,DAY,3627,BWI,3849,,0,73W 73C WN,4547,DAY,3627,DEN,3751,,0,73W WN,4547,DAY,3627,MCO,3878,,0,73W WN,4547,DAY,3627,TPA,3646,Y,0,717 WN,4547,DCA,3520,ATL,3682,,0,73W WN,4547,DCA,3520,AUS,3673,,0,73W WN,4547,DCA,3520,HOU,3566,,0,73W WN,4547,DCA,3520,MCI,3458,,0,73W WN,4547,DCA,3520,MKE,3717,Y,0,717 WN,4547,DCA,3520,RSW,3793,Y,0,717 WN,4547,DCA,3520,STL,3678,,0,73W WN,4547,DEN,3751,ABQ,4019,,0,73W 73C WN,4547,DEN,3751,AMA,3840,,0,73W 73C WN,4547,DEN,3751,ATL,3682,,0,73W WN,4547,DEN,3751,AUS,3673,,0,73C 73W WN,4547,DEN,3751,BDL,3825,,0,73W WN,4547,DEN,3751,BNA,3690,,0,73W 738 73H WN,4547,DEN,3751,BOI,3495,,0,73W 73C WN,4547,DEN,3751,BOS,3448,,0,73W WN,4547,DEN,3751,BUR,3644,,0,73W WN,4547,DEN,3751,BWI,3849,,0,73W 738 WN,4547,DEN,3751,CAK,4112,,0,73W WN,4547,DEN,3751,CMH,3759,,0,73W WN,4547,DEN,3751,DAY,3627,,0,73W WN,4547,DEN,3751,DTW,3645,,0,73W WN,4547,DEN,3751,EWR,3494,,0,73W WN,4547,DEN,3751,FLL,3533,,0,73W WN,4547,DEN,3751,GEG,3467,,0,73W WN,4547,DEN,3751,GRR,3685,,0,73W WN,4547,DEN,3751,HOU,3566,,0,73H 73W 733 WN,4547,DEN,3751,IAD,3714,,0,73W WN,4547,DEN,3751,IND,3585,,0,73C 73W 733 WN,4547,DEN,3751,JAX,3712,,0,73W WN,4547,DEN,3751,LAS,3877,,0,73W 73C 73H 738 WN,4547,DEN,3751,LAX,3484,,0,733 73H 73C 73W WN,4547,DEN,3751,LGA,3697,,0,73W WN,4547,DEN,3751,MCI,3458,,0,73W 73C 73H WN,4547,DEN,3751,MCO,3878,,0,73W 73H WN,4547,DEN,3751,MDW,3747,,0,73W 738 WN,4547,DEN,3751,MKE,3717,,0,73W 733 WN,4547,DEN,3751,MSP,3858,,0,73W 73H 733 73C WN,4547,DEN,3751,MSY,3861,,0,73W WN,4547,DEN,3751,OAK,3453,,0,73W WN,4547,DEN,3751,OKC,3863,,0,73W 73C WN,4547,DEN,3751,OMA,3454,,0,73W WN,4547,DEN,3751,ONT,3734,,0,73W WN,4547,DEN,3751,PDX,3720,,0,73W WN,4547,DEN,3751,PHL,3752,,0,73W WN,4547,DEN,3751,PHX,3462,,0,73W 73C 73H 733 WN,4547,DEN,3751,PIT,3570,,0,73W 73H WN,4547,DEN,3751,RDU,3626,,0,73W WN,4547,DEN,3751,RNO,3807,,0,73W WN,4547,DEN,3751,SAN,3731,,0,73C 73H 73W WN,4547,DEN,3751,SAT,3621,,0,73C 73W 733 WN,4547,DEN,3751,SDF,4014,,0,73W WN,4547,DEN,3751,SEA,3577,,0,73W 73H WN,4547,DEN,3751,SFO,3469,,0,73W WN,4547,DEN,3751,SJC,3748,,0,73W WN,4547,DEN,3751,SLC,3536,,0,73W 733 73C 73H WN,4547,DEN,3751,SMF,3817,,0,733 73W 73H 73C 738 WN,4547,DEN,3751,SNA,3867,,0,73W WN,4547,DEN,3751,STL,3678,,0,73W 733 WN,4547,DEN,3751,TPA,3646,,0,73W 73H WN,4547,DEN,3751,TUL,3855,,0,735 73W WN,4547,DEN,3751,TUS,3636,,0,73W 73C 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73H WN,4547,LAS,3877,MSY,3861,,0,73H 73W WN,4547,LAS,3877,OAK,3453,,0,73C 73W 738 73H WN,4547,LAS,3877,OKC,3863,,0,73W 73C WN,4547,LAS,3877,OMA,3454,,0,733 73W WN,4547,LAS,3877,ONT,3734,,0,73W 73C 73H WN,4547,LAS,3877,PDX,3720,,0,73W 73C 73H WN,4547,LAS,3877,PHL,3752,,0,73H WN,4547,LAS,3877,PHX,3462,,0,738 73W 735 73C 733 73H WN,4547,LAS,3877,PIT,3570,,0,73H 738 73W WN,4547,LAS,3877,RDU,3626,,0,73W WN,4547,LAS,3877,RNO,3807,,0,73W 73H 738 WN,4547,LAS,3877,SAN,3731,,0,73W 738 73C 733 WN,4547,LAS,3877,SAT,3621,,0,73W 73H 733 WN,4547,LAS,3877,SDF,4014,,0,73W WN,4547,LAS,3877,SEA,3577,,0,73W 733 73C 73H WN,4547,LAS,3877,SFO,3469,,0,733 73W 73H 73C WN,4547,LAS,3877,SJC,3748,,0,73W 73H 73C 733 WN,4547,LAS,3877,SLC,3536,,0,73W 733 73C 73H 738 WN,4547,LAS,3877,SMF,3817,,0,73W 73H 733 73C 738 WN,4547,LAS,3877,SNA,3867,,0,73W 73H WN,4547,LAS,3877,STL,3678,,0,73H 73W WN,4547,LAS,3877,TPA,3646,,0,73H WN,4547,LAS,3877,TUL,3855,,0,73W WN,4547,LAS,3877,TUS,3636,,0,73W 73C 733 73H WN,4547,LAX,3484,ABQ,4019,,0,73C 73W 733 WN,4547,LAX,3484,ATL,3682,,0,73W WN,4547,LAX,3484,AUS,3673,,0,733 73W 73C WN,4547,LAX,3484,BNA,3690,,0,73W WN,4547,LAX,3484,BWI,3849,,0,73H 73W WN,4547,LAX,3484,DEN,3751,,0,73W 73C 733 WN,4547,LAX,3484,ELP,3559,,0,73C 733 73W WN,4547,LAX,3484,HOU,3566,,0,73H 733 73C 73W WN,4547,LAX,3484,LAS,3877,,0,73W 733 738 73C 73H WN,4547,LAX,3484,MCI,3458,,0,73W 738 733 WN,4547,LAX,3484,MDW,3747,,0,738 73H 73W WN,4547,LAX,3484,MKE,3717,,0,73W WN,4547,LAX,3484,MSY,3861,,0,73W WN,4547,LAX,3484,OAK,3453,,0,73W 733 73C WN,4547,LAX,3484,PHX,3462,,0,73C 73W 733 73H WN,4547,LAX,3484,RNO,3807,,0,73W 73H WN,4547,LAX,3484,SAT,3621,,0,73W WN,4547,LAX,3484,SFO,3469,,0,73W 73C 733 WN,4547,LAX,3484,SJC,3748,,0,73W 73C 733 738 WN,4547,LAX,3484,SLC,3536,,0,73C 73H 73W 733 WN,4547,LAX,3484,SMF,3817,,0,733 73C 73W WN,4547,LAX,3484,STL,3678,,0,73W 733 WN,4547,LAX,3484,TUS,3636,,0,73W 73C 733 73H WN,4547,LBB,3829,AUS,3673,,0,735 WN,4547,LBB,3829,DAL,3502,,0,735 73W 73C 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WN,4547,MCO,3878,CMH,3759,,0,73C 73W 733 73H WN,4547,MCO,3878,DAY,3627,,0,73W WN,4547,MCO,3878,DEN,3751,,0,73W 73H WN,4547,MCO,3878,EYW,3875,,0,73W WN,4547,MCO,3878,FNT,4089,,0,73W WN,4547,MCO,3878,GRR,3685,,0,73W 73C WN,4547,MCO,3878,HOU,3566,,0,73W 733 73H WN,4547,MCO,3878,IND,3585,,0,73W 73C 733 WN,4547,MCO,3878,ISP,3857,,0,73W WN,4547,MCO,3878,JAN,3580,,0,73W WN,4547,MCO,3878,LAS,3877,,0,738 73H WN,4547,MCO,3878,MCI,3458,,0,733 73W 73C WN,4547,MCO,3878,MDW,3747,,0,73W 738 73H 733 WN,4547,MCO,3878,MEM,3473,,0,73W WN,4547,MCO,3878,MHT,4011,,0,73W 738 WN,4547,MCO,3878,MKE,3717,,0,73W WN,4547,MCO,3878,MSP,3858,,0,73W 73C WN,4547,MCO,3878,MSY,3861,,0,73W 73C 733 WN,4547,MCO,3878,ORF,3611,,0,73W WN,4547,MCO,3878,PHL,3752,,0,73W 733 WN,4547,MCO,3878,PHX,3462,,0,73W 738 WN,4547,MCO,3878,PIT,3570,,0,73W WN,4547,MCO,3878,PVD,3641,,0,73C 733 73W 73H WN,4547,MCO,3878,RDU,3626,,0,73W 733 73C WN,4547,MCO,3878,RIC,3608,,0,733 73W 73C WN,4547,MCO,3878,ROC,3622,,0,73W WN,4547,MCO,3878,SAT,3621,,0,73H 73W WN,4547,MCO,3878,SDF,4014,,0,73W WN,4547,MCO,3878,SJU,2890,,0,73H 73W 738 WN,4547,MCO,3878,STL,3678,,0,73W 73C WN,4547,MDW,3747,ABQ,4019,,0,73W WN,4547,MDW,3747,ALB,3864,,0,73H 73W WN,4547,MDW,3747,ATL,3682,,0,73W WN,4547,MDW,3747,AUS,3673,,0,73W WN,4547,MDW,3747,BDL,3825,,0,73W WN,4547,MDW,3747,BHM,3811,,0,73W WN,4547,MDW,3747,BKG,6962,,0,73W WN,4547,MDW,3747,BNA,3690,,0,73W WN,4547,MDW,3747,BOS,3448,,0,73W WN,4547,MDW,3747,BUF,3820,,0,73W 738 73H WN,4547,MDW,3747,BWI,3849,,0,73W 73H 738 WN,4547,MDW,3747,CHS,3806,,0,73W WN,4547,MDW,3747,CLE,3486,,0,73W 73C WN,4547,MDW,3747,CLT,3876,,0,73W WN,4547,MDW,3747,CMH,3759,,0,733 73W 73C 73H WN,4547,MDW,3747,DEN,3751,,0,73W 73H WN,4547,MDW,3747,DSM,3729,,0,73W WN,4547,MDW,3747,DTW,3645,,0,73W 73H WN,4547,MDW,3747,EWR,3494,,0,73W WN,4547,MDW,3747,FLL,3533,,0,73W 738 WN,4547,MDW,3747,GSP,4034,,0,73W WN,4547,MDW,3747,HOU,3566,,0,73W 73H WN,4547,MDW,3747,IAD,3714,,0,73W 73H WN,4547,MDW,3747,ICT,3457,,0,73W WN,4547,MDW,3747,JAN,3580,,0,73W WN,4547,MDW,3747,JAX,3712,,0,73W WN,4547,MDW,3747,LAS,3877,,0,73W 73H 738 WN,4547,MDW,3747,LAX,3484,,0,73W 73H WN,4547,MDW,3747,LGA,3697,,0,73W 73H WN,4547,MDW,3747,LIT,3660,,0,73W WN,4547,MDW,3747,MCI,3458,,0,73W 73H WN,4547,MDW,3747,MCO,3878,,0,73H 73W WN,4547,MDW,3747,MEM,3473,,0,73W WN,4547,MDW,3747,MHT,4011,,0,73W 73H WN,4547,MDW,3747,MSP,3858,,0,73W 73H WN,4547,MDW,3747,MSY,3861,,0,73H 73W WN,4547,MDW,3747,OAK,3453,,0,73W WN,4547,MDW,3747,OKC,3863,,0,73W WN,4547,MDW,3747,OMA,3454,,0,73W WN,4547,MDW,3747,ONT,3734,,0,73W WN,4547,MDW,3747,ORF,3611,,0,73W WN,4547,MDW,3747,PDX,3720,,0,73W 73H WN,4547,MDW,3747,PHL,3752,,0,73W WN,4547,MDW,3747,PHX,3462,,0,73W 73H 738 WN,4547,MDW,3747,PIT,3570,,0,73W 73H WN,4547,MDW,3747,PVD,3641,,0,73W 738 WN,4547,MDW,3747,RDU,3626,,0,73W 73H WN,4547,MDW,3747,RNO,3807,,0,73W WN,4547,MDW,3747,ROC,3622,,0,73W WN,4547,MDW,3747,RSW,3793,,0,73W 73H WN,4547,MDW,3747,SAN,3731,,0,738 73W 73H WN,4547,MDW,3747,SAT,3621,,0,73W WN,4547,MDW,3747,SDF,4014,,0,73C 73W 733 WN,4547,MDW,3747,SEA,3577,,0,73H 73W WN,4547,MDW,3747,SFO,3469,,0,73W WN,4547,MDW,3747,SJC,3748,,0,73W WN,4547,MDW,3747,SLC,3536,,0,73W 73H WN,4547,MDW,3747,SMF,3817,,0,73W 73H WN,4547,MDW,3747,STL,3678,,0,73W 738 73C WN,4547,MDW,3747,TPA,3646,,0,73W 738 73H WN,4547,MDW,3747,TUL,3855,,0,73W WN,4547,MDW,3747,TUS,3636,,0,73W 73H WN,4547,MEM,3473,BWI,3849,,0,73C 73W WN,4547,MEM,3473,HOU,3566,,0,733 WN,4547,MEM,3473,MCO,3878,,0,73C 73W WN,4547,MEM,3473,MDW,3747,,0,73W WN,4547,MEM,3473,TPA,3646,,0,73W WN,4547,MHT,4011,BWI,3849,,0,73W 73H 733 73C 738 WN,4547,MHT,4011,MCO,3878,,0,73W 73H 738 WN,4547,MHT,4011,MDW,3747,,0,73H 73W WN,4547,MHT,4011,TPA,3646,,0,73W 73H WN,4547,MKE,3717,ATL,3682,Y,0,717 73G WN,4547,MKE,3717,BOS,3448,,0,73W 733 WN,4547,MKE,3717,BWI,3849,,0,733 73W 73C WN,4547,MKE,3717,DCA,3520,Y,0,717 WN,4547,MKE,3717,DEN,3751,,0,73W WN,4547,MKE,3717,FLL,3533,,0,73W WN,4547,MKE,3717,LAS,3877,,0,73H 73W WN,4547,MKE,3717,LAX,3484,,0,73W WN,4547,MKE,3717,LGA,3697,,0,73W WN,4547,MKE,3717,MCI,3458,,0,733 73W WN,4547,MKE,3717,MCO,3878,,0,73W WN,4547,MKE,3717,MSP,3858,,0,73W 73C WN,4547,MKE,3717,MSY,3861,,0,73C 73W WN,4547,MKE,3717,PHX,3462,,0,73W WN,4547,MKE,3717,RSW,3793,,0,73W WN,4547,MKE,3717,SEA,3577,,0,73W WN,4547,MKE,3717,SFO,3469,,0,73W WN,4547,MKE,3717,STL,3678,,0,73W 73C WN,4547,MKE,3717,TPA,3646,,0,73W WN,4547,MSP,3858,ATL,3682,Y,0,717 WN,4547,MSP,3858,DEN,3751,,0,73W 73H 73C WN,4547,MSP,3858,MCI,3458,,0,73C 73W WN,4547,MSP,3858,MCO,3878,,0,73W WN,4547,MSP,3858,MDW,3747,,0,73W 73H WN,4547,MSP,3858,MKE,3717,,0,73W 73C WN,4547,MSP,3858,PHX,3462,,0,73C 73W WN,4547,MSP,3858,STL,3678,,0,73W 733 WN,4547,MSY,3861,ATL,3682,,0,73W WN,4547,MSY,3861,AUS,3673,,0,73C 735 WN,4547,MSY,3861,BNA,3690,,0,735 73W 733 WN,4547,MSY,3861,BWI,3849,,0,73W WN,4547,MSY,3861,DAL,3502,,0,733 73W 73C 735 WN,4547,MSY,3861,DEN,3751,,0,73W WN,4547,MSY,3861,EWR,3494,,0,73W WN,4547,MSY,3861,EYW,3875,,0,73W WN,4547,MSY,3861,FLL,3533,,0,73W 73C WN,4547,MSY,3861,HOU,3566,,0,73W 735 73C WN,4547,MSY,3861,LAS,3877,,0,73W 73H WN,4547,MSY,3861,LAX,3484,,0,73H 73W WN,4547,MSY,3861,MCI,3458,,0,73W WN,4547,MSY,3861,MCO,3878,,0,733 73W 73C WN,4547,MSY,3861,MDW,3747,,0,73W 73H WN,4547,MSY,3861,MKE,3717,,0,73W WN,4547,MSY,3861,PHX,3462,,0,73H 73W WN,4547,MSY,3861,SAN,3731,,0,73W WN,4547,MSY,3861,STL,3678,,0,73W 73C WN,4547,MSY,3861,TPA,3646,,0,73C 73W 733 WN,4547,NAS,1953,ATL,3682,Y,0,73G WN,4547,OAK,3453,ABQ,4019,,0,73W WN,4547,OAK,3453,AUS,3673,,0,73W WN,4547,OAK,3453,BOI,3495,,0,73W WN,4547,OAK,3453,BUR,3644,,0,73W WN,4547,OAK,3453,DEN,3751,,0,73W WN,4547,OAK,3453,GEG,3467,,0,73W WN,4547,OAK,3453,HOU,3566,,0,73W WN,4547,OAK,3453,LAS,3877,,0,73W 73H 73C 738 733 WN,4547,OAK,3453,LAX,3484,,0,73W 73C 738 733 73H WN,4547,OAK,3453,MCI,3458,,0,73W WN,4547,OAK,3453,MDW,3747,,0,73H 73W 738 WN,4547,OAK,3453,ONT,3734,,0,733 73C 73W WN,4547,OAK,3453,PDX,3720,,0,733 73W 73C WN,4547,OAK,3453,PHX,3462,,0,73W 73C 733 73H WN,4547,OAK,3453,SAN,3731,,0,73C 73W 733 73H WN,4547,OAK,3453,SEA,3577,,0,733 73C 73W WN,4547,OAK,3453,SLC,3536,,0,73W 73C WN,4547,OAK,3453,SNA,3867,,0,73W WN,4547,OKC,3863,ATL,3682,Y,0,717 WN,4547,OKC,3863,BWI,3849,,0,73W WN,4547,OKC,3863,DAL,3502,,0,73W 73C WN,4547,OKC,3863,DEN,3751,,0,73W 73C WN,4547,OKC,3863,HOU,3566,,0,733 73W WN,4547,OKC,3863,LAS,3877,,0,73C 73W WN,4547,OKC,3863,MDW,3747,,0,73W 73C WN,4547,OKC,3863,PHX,3462,,0,73W WN,4547,OKC,3863,STL,3678,,0,73C 73W WN,4547,OMA,3454,DEN,3751,,0,73W 73C WN,4547,OMA,3454,LAS,3877,,0,73W WN,4547,OMA,3454,MDW,3747,,0,73W WN,4547,OMA,3454,PHX,3462,,0,733 73C 73W WN,4547,OMA,3454,STL,3678,,0,73W 733 WN,4547,ONT,3734,DEN,3751,,0,73C 73W 73H WN,4547,ONT,3734,LAS,3877,,0,73W 73C 73H 738 WN,4547,ONT,3734,MDW,3747,,0,73W WN,4547,ONT,3734,OAK,3453,,0,73W 73C 73H 733 WN,4547,ONT,3734,PHX,3462,,0,73H 73W 73C WN,4547,ONT,3734,SJC,3748,,0,73W 733 73C WN,4547,ONT,3734,SMF,3817,,0,73H 733 73C 73W WN,4547,ORF,3611,ATL,3682,Y,0,717 WN,4547,ORF,3611,BWI,3849,,0,73W WN,4547,ORF,3611,MCO,3878,,0,73C 73W WN,4547,ORF,3611,MDW,3747,,0,73W WN,4547,PBI,3722,ATL,3682,,0,73W 733 WN,4547,PBI,3722,BWI,3849,,0,73W 733 WN,4547,PBI,3722,ISP,3857,,0,73W WN,4547,PDX,3720,ABQ,4019,,0,733 73C WN,4547,PDX,3720,DEN,3751,,0,73W 73H WN,4547,PDX,3720,LAS,3877,,0,73W 73H WN,4547,PDX,3720,MCI,3458,,0,733 WN,4547,PDX,3720,MDW,3747,,0,73H 73W WN,4547,PDX,3720,OAK,3453,,0,73W 73C 733 WN,4547,PDX,3720,PHX,3462,,0,733 73W 73C WN,4547,PDX,3720,RNO,3807,,0,73W WN,4547,PDX,3720,SJC,3748,,0,73W 733 WN,4547,PDX,3720,SLC,3536,,0,73C 73W WN,4547,PDX,3720,SMF,3817,,0,73W 733 73C WN,4547,PHL,3752,ATL,3682,Y,0,717 WN,4547,PHL,3752,BNA,3690,,0,73W 73C WN,4547,PHL,3752,DEN,3751,,0,73W WN,4547,PHL,3752,FLL,3533,,0,73W WN,4547,PHL,3752,LAS,3877,,0,73W WN,4547,PHL,3752,MCO,3878,,0,73W 73C 733 WN,4547,PHL,3752,MDW,3747,,0,73H 73W WN,4547,PHL,3752,PHX,3462,,0,73W WN,4547,PHL,3752,RSW,3793,,0,73C 733 WN,4547,PHL,3752,STL,3678,,0,73W 73C WN,4547,PHL,3752,TPA,3646,,0,73W 733 WN,4547,PHX,3462,ABQ,4019,,0,73W 735 73C 733 WN,4547,PHX,3462,ATL,3682,,0,73W WN,4547,PHX,3462,AUS,3673,,0,73C 73W 733 WN,4547,PHX,3462,BNA,3690,,0,73C 73W WN,4547,PHX,3462,BOI,3495,,0,73W WN,4547,PHX,3462,BUF,3820,,0,73W WN,4547,PHX,3462,BUR,3644,,0,73W WN,4547,PHX,3462,BWI,3849,,0,73W WN,4547,PHX,3462,CMH,3759,,0,73W WN,4547,PHX,3462,DEN,3751,,0,73W 73H 73C 733 WN,4547,PHX,3462,DTW,3645,,0,73W WN,4547,PHX,3462,ELP,3559,,0,735 73W 73C WN,4547,PHX,3462,EWR,3494,,0,73W WN,4547,PHX,3462,FLL,3533,,0,73W WN,4547,PHX,3462,GEG,3467,,0,73W WN,4547,PHX,3462,HOU,3566,,0,73W 733 73H 73C WN,4547,PHX,3462,IND,3585,,0,73W 73C 733 WN,4547,PHX,3462,LAS,3877,,0,73W 73C 735 WN,4547,PHX,3462,LAX,3484,,0,73W 73C 733 738 WN,4547,PHX,3462,LIT,3660,,0,73W WN,4547,PHX,3462,MCI,3458,,0,73W 733 738 73C WN,4547,PHX,3462,MCO,3878,,0,73W 73H WN,4547,PHX,3462,MDW,3747,,0,73W 73H 738 WN,4547,PHX,3462,MKE,3717,,0,73W WN,4547,PHX,3462,MSP,3858,,0,73W 73H WN,4547,PHX,3462,MSY,3861,,0,73H 73W WN,4547,PHX,3462,OAK,3453,,0,733 73C 73W 738 73H WN,4547,PHX,3462,OKC,3863,,0,73C 73W WN,4547,PHX,3462,OMA,3454,,0,73C 73W 733 WN,4547,PHX,3462,ONT,3734,,0,73W 73C 738 WN,4547,PHX,3462,PDX,3720,,0,73W 73C WN,4547,PHX,3462,PHL,3752,,0,73W WN,4547,PHX,3462,PIT,3570,,0,73W WN,4547,PHX,3462,RDU,3626,,0,73W WN,4547,PHX,3462,RNO,3807,,0,73W 73H WN,4547,PHX,3462,SAN,3731,,0,73W 733 73C WN,4547,PHX,3462,SAT,3621,,0,73W 73C WN,4547,PHX,3462,SDF,4014,,0,73W WN,4547,PHX,3462,SEA,3577,,0,73W 73C 733 WN,4547,PHX,3462,SFO,3469,,0,73W 733 WN,4547,PHX,3462,SJC,3748,,0,73W 733 73H 73C WN,4547,PHX,3462,SLC,3536,,0,738 733 73W 73C WN,4547,PHX,3462,SMF,3817,,0,73W 733 73H WN,4547,PHX,3462,SNA,3867,,0,73W 73H WN,4547,PHX,3462,STL,3678,,0,73C 733 73W WN,4547,PHX,3462,TPA,3646,,0,73W WN,4547,PHX,3462,TUL,3855,,0,73W WN,4547,PIT,3570,ATL,3682,Y,0,717 73G WN,4547,PIT,3570,BNA,3690,,0,73C 733 73W WN,4547,PIT,3570,BWI,3849,,0,733 73W WN,4547,PIT,3570,DEN,3751,,0,73W WN,4547,PIT,3570,DFW,3670,Y,0,717 WN,4547,PIT,3570,FLL,3533,,0,73W WN,4547,PIT,3570,HOU,3566,,0,73W WN,4547,PIT,3570,LAS,3877,,0,738 73H 73W WN,4547,PIT,3570,MCO,3878,,0,73W 738 733 WN,4547,PIT,3570,MDW,3747,,0,73W 73H WN,4547,PIT,3570,PHX,3462,,0,73W WN,4547,PIT,3570,RSW,3793,,0,73W 73C WN,4547,PIT,3570,TPA,3646,,0,73W 733 73C WN,4547,PNS,3564,BNA,3690,,0,73W WN,4547,PNS,3564,HOU,3566,,0,73W WN,4547,PUJ,1760,ATL,3682,Y,0,73G WN,4547,PVD,3641,BWI,3849,,0,73C 738 73W 733 WN,4547,PVD,3641,FLL,3533,,0,73W 73H WN,4547,PVD,3641,MCO,3878,,0,73W 738 73H WN,4547,PVD,3641,MDW,3747,,0,73H 73W WN,4547,PVD,3641,RSW,3793,,0,73W WN,4547,PVD,3641,TPA,3646,,0,73W 73H WN,4547,RDU,3626,ATL,3682,Y,0,717 WN,4547,RDU,3626,BNA,3690,,0,73W 733 WN,4547,RDU,3626,BWI,3849,,0,73W 733 73C WN,4547,RDU,3626,DEN,3751,,0,73W WN,4547,RDU,3626,FLL,3533,,0,73W WN,4547,RDU,3626,HOU,3566,,0,73W 733 WN,4547,RDU,3626,LAS,3877,,0,73W WN,4547,RDU,3626,MCO,3878,,0,733 73W 73C WN,4547,RDU,3626,MDW,3747,,0,73W 73H 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WS,5416,LGA,3697,ATL,3682,Y,0,M88 757 320 738 739 73W WS,5416,LGA,3697,MSY,3861,Y,0,319 CR9 WS,5416,LGA,3697,YHZ,73,Y,0,CR7 WS,5416,LGA,3697,YUL,146,Y,0,ERJ CR7 WS,5416,LGA,3697,YYZ,193,,0,736 73W WS,5416,LIH,3602,YVR,156,,0,73H WS,5416,LIR,1881,YYZ,193,,0,73W WS,5416,MBJ,1780,YHZ,73,,0,73W WS,5416,MBJ,1780,YYZ,193,,0,73H 73W WS,5416,MCO,3878,YHZ,73,,0,73W WS,5416,MCO,3878,YQM,117,,0,73W WS,5416,MCO,3878,YYC,178,,0,73W WS,5416,MCO,3878,YYT,189,,0,73W WS,5416,MCO,3878,YYZ,193,,0,73W 73H WS,5416,MIA,3576,MSY,3861,Y,0,738 WS,5416,MIA,3576,YUL,146,Y,0,738 WS,5416,MIA,3576,YYZ,193,Y,0,738 WS,5416,MSP,3858,YUL,146,Y,0,CR9 WS,5416,MSP,3858,YYZ,193,Y,0,CRJ WS,5416,MSY,3861,LGA,3697,Y,0,319 CR9 WS,5416,MSY,3861,MIA,3576,Y,0,738 WS,5416,MYR,3515,YYZ,193,,0,73W WS,5416,NAS,1953,YYZ,193,,0,73W WS,5416,OGG,3456,YVR,156,,0,73H WS,5416,ORD,3830,YUL,146,Y,0,CRJ WS,5416,ORD,3830,YVR,156,,0,73W WS,5416,ORD,3830,YYC,178,,0,73W WS,5416,ORD,3830,YYZ,193,Y,0,CR7 E75 ER4 WS,5416,PHX,3462,YEG,49,,0,73W 73H WS,5416,PHX,3462,YYC,178,,0,73H WS,5416,PLS,1754,YYZ,193,,0,73H WS,5416,POP,1761,YYZ,193,,0,73H WS,5416,POS,2902,YYZ,193,,0,73W WS,5416,PSP,3839,YEG,49,,0,73W WS,5416,PSP,3839,YVR,156,,0,73W WS,5416,PSP,3839,YYC,178,,0,73H 73W WS,5416,PUJ,1760,YHZ,73,,0,73W WS,5416,PUJ,1760,YUL,146,,0,73W WS,5416,PUJ,1760,YYZ,193,,0,73H 73W WS,5416,PVR,1836,YEG,49,,0,73W WS,5416,PVR,1836,YVR,156,,0,73W WS,5416,PVR,1836,YYC,178,,0,73H WS,5416,RSW,3793,YYZ,193,,0,73W 736 WS,5416,SAN,3731,YYC,178,,0,73H 73W WS,5416,SFO,3469,YVR,156,,0,73W WS,5416,SFO,3469,YYC,178,,0,73W WS,5416,SJD,1840,YVR,156,,0,73W WS,5416,SJD,1840,YYC,178,,0,73H 73W WS,5416,SJU,2890,YYZ,193,,0,73W WS,5416,SNA,3867,YVR,156,,0,73W WS,5416,SNU,1918,YYZ,193,,0,73W WS,5416,SXM,2899,YYZ,193,,0,73W WS,5416,TPA,3646,YYZ,193,,0,73W 736 WS,5416,UVF,2894,YYZ,193,,0,73W WS,5416,VRA,1923,YYZ,193,,0,73W 73H WS,5416,YBR,31,YYC,178,,0,DH4 WS,5416,YCD,33,YYC,178,,0,DH4 WS,5416,YDF,45,YYZ,193,,0,73W WS,5416,YEG,49,CUN,1852,,0,73W WS,5416,YEG,49,LAS,3877,,0,73W 73H WS,5416,YEG,49,LAX,3484,,0,73H WS,5416,YEG,49,PHX,3462,,0,73W 73H WS,5416,YEG,49,PSP,3839,,0,73W WS,5416,YEG,49,PVR,1836,,0,73W WS,5416,YEG,49,YHM,70,,0,73W WS,5416,YEG,49,YLW,87,,0,73W WS,5416,YEG,49,YMM,90,,0,73W DH4 WS,5416,YEG,49,YOW,100,,0,73W WS,5416,YEG,49,YQQ,119,,0,73W WS,5416,YEG,49,YQR,120,,0,DH4 WS,5416,YEG,49,YQU,122,,0,DH4 WS,5416,YEG,49,YUL,146,,0,736 WS,5416,YEG,49,YVR,156,,0,73H 73W 736 WS,5416,YEG,49,YWG,160,,0,73W WS,5416,YEG,49,YXE,166,,0,DH4 WS,5416,YEG,49,YXX,175,,0,73W WS,5416,YEG,49,YYC,178,,0,73W DH4 WS,5416,YEG,49,YYJ,184,,0,736 73W WS,5416,YEG,49,YYZ,193,,0,73H 73W WS,5416,YEG,49,YZF,196,,0,73W 736 WS,5416,YHM,70,YEG,49,,0,73W WS,5416,YHM,70,YHZ,73,,0,73W WS,5416,YHM,70,YQM,117,,0,73W WS,5416,YHM,70,YYC,178,,0,73H 73W WS,5416,YHZ,73,CUN,1852,,0,73W WS,5416,YHZ,73,LGA,3697,Y,0,CR7 WS,5416,YHZ,73,MBJ,1780,,0,73W WS,5416,YHZ,73,MCO,3878,,0,73W WS,5416,YHZ,73,PUJ,1760,,0,73W WS,5416,YHZ,73,YHM,70,,0,73W WS,5416,YHZ,73,YOW,100,,0,73W WS,5416,YHZ,73,YYC,178,,0,73W WS,5416,YHZ,73,YYT,189,,0,73W WS,5416,YHZ,73,YYZ,193,,0,73W 736 WS,5416,YKA,78,YYC,178,,0,DH4 WS,5416,YKF,79,YYC,178,,0,73W WS,5416,YLW,87,YEG,49,,0,73W WS,5416,YLW,87,YVR,156,,0,73W DH4 WS,5416,YLW,87,YYC,178,,0,73W WS,5416,YLW,87,YYJ,184,,0,DH4 WS,5416,YLW,87,YYZ,193,,0,736 WS,5416,YMM,90,YEG,49,,0,73W DH4 WS,5416,YMM,90,YYC,178,,0,73W WS,5416,YMM,90,YYZ,193,,0,73W WS,5416,YOW,100,YEG,49,,0,73W WS,5416,YOW,100,YHZ,73,,0,73W WS,5416,YOW,100,YWG,160,,0,73W WS,5416,YOW,100,YYC,178,,0,73W 736 WS,5416,YOW,100,YYT,189,,0,73W WS,5416,YOW,100,YYZ,193,,0,736 73W WS,5416,YQB,111,YYZ,193,,0,73W WS,5416,YQG,113,YYC,178,,0,73W WS,5416,YQM,117,MCO,3878,,0,73W WS,5416,YQM,117,YHM,70,,0,73W WS,5416,YQM,117,YYZ,193,,0,73W WS,5416,YQQ,119,YEG,49,,0,73W WS,5416,YQQ,119,YYC,178,,0,73W 73H 736 WS,5416,YQR,120,LAS,3877,,0,73H WS,5416,YQR,120,YEG,49,,0,DH4 WS,5416,YQR,120,YVR,156,,0,73W WS,5416,YQR,120,YWG,160,,0,DH4 WS,5416,YQR,120,YYC,178,,0,73W DH4 WS,5416,YQR,120,YYZ,193,,0,73W WS,5416,YQT,121,YWG,160,,0,73W 736 WS,5416,YQT,121,YYZ,193,,0,73W 736 WS,5416,YQU,122,YEG,49,,0,DH4 WS,5416,YQU,122,YYC,178,,0,DH4 WS,5416,YUL,146,CUN,1852,,0,73W WS,5416,YUL,146,DFW,3670,Y,0,738 WS,5416,YUL,146,FLL,3533,,0,73W WS,5416,YUL,146,JFK,3797,,0,ERJ CRJ WS,5416,YUL,146,LAS,3877,,0,73W WS,5416,YUL,146,LGA,3697,Y,0,CR7 ERJ WS,5416,YUL,146,MIA,3576,Y,0,738 WS,5416,YUL,146,MSP,3858,Y,0,CR9 WS,5416,YUL,146,ORD,3830,Y,0,CRJ WS,5416,YUL,146,PUJ,1760,,0,73W WS,5416,YUL,146,YEG,49,,0,736 WS,5416,YUL,146,YVR,156,,0,73W WS,5416,YUL,146,YWG,160,,0,73W WS,5416,YUL,146,YYC,178,,0,73W WS,5416,YUL,146,YYZ,193,,0,73W 736 WS,5416,YVR,156,CUN,1852,,0,73H WS,5416,YVR,156,DFW,3670,Y,0,738 WS,5416,YVR,156,HNL,3728,,0,73H WS,5416,YVR,156,KOA,3514,,0,73H WS,5416,YVR,156,LAS,3877,,0,73H 73W WS,5416,YVR,156,LAX,3484,,0,73H 73W WS,5416,YVR,156,LIH,3602,,0,73H WS,5416,YVR,156,OGG,3456,,0,73H WS,5416,YVR,156,ORD,3830,,0,73W WS,5416,YVR,156,PSP,3839,,0,73W WS,5416,YVR,156,PVR,1836,,0,73W WS,5416,YVR,156,SFO,3469,,0,73W WS,5416,YVR,156,SJD,1840,,0,73W WS,5416,YVR,156,SNA,3867,,0,73W WS,5416,YVR,156,YEG,49,,0,73W 73H 736 WS,5416,YVR,156,YLW,87,,0,73W DH4 WS,5416,YVR,156,YQR,120,,0,73W WS,5416,YVR,156,YUL,146,,0,73W WS,5416,YVR,156,YWG,160,,0,736 73W WS,5416,YVR,156,YXE,166,,0,73W WS,5416,YVR,156,YXJ,168,,0,DH4 WS,5416,YVR,156,YXS,172,,0,73W DH4 WS,5416,YVR,156,YXT,173,,0,DH4 WS,5416,YVR,156,YYC,178,,0,73H 73W 736 WS,5416,YVR,156,YYJ,184,,0,DH4 WS,5416,YVR,156,YYZ,193,,0,73W 73H 736 WS,5416,YWG,160,LAS,3877,,0,73W WS,5416,YWG,160,YEG,49,,0,73W 736 WS,5416,YWG,160,YOW,100,,0,73W WS,5416,YWG,160,YQR,120,,0,DH4 WS,5416,YWG,160,YQT,121,,0,73W 736 WS,5416,YWG,160,YUL,146,,0,73W WS,5416,YWG,160,YVR,156,,0,73W 736 WS,5416,YWG,160,YXE,166,,0,DH4 WS,5416,YWG,160,YXU,174,,0,73W WS,5416,YWG,160,YYC,178,,0,73W WS,5416,YWG,160,YYZ,193,,0,73W 736 WS,5416,YXE,166,LAS,3877,,0,73H WS,5416,YXE,166,YEG,49,,0,DH4 WS,5416,YXE,166,YVR,156,,0,73W WS,5416,YXE,166,YWG,160,,0,DH4 WS,5416,YXE,166,YYC,178,,0,73W DH4 WS,5416,YXE,166,YYZ,193,,0,73W WS,5416,YXJ,168,YVR,156,,0,DH4 WS,5416,YXJ,168,YYC,178,,0,DH4 WS,5416,YXS,172,YVR,156,,0,DH4 73W WS,5416,YXS,172,YYC,178,,0,736 WS,5416,YXT,173,YVR,156,,0,DH4 WS,5416,YXU,174,YWG,160,,0,73W WS,5416,YXU,174,YYC,178,,0,73W WS,5416,YXX,175,YEG,49,,0,73W WS,5416,YXX,175,YYC,178,,0,73W 736 WS,5416,YYC,178,CUN,1852,,0,73H WS,5416,YYC,178,DFW,3670,,0,73W WS,5416,YYC,178,JFK,3797,,0,736 WS,5416,YYC,178,LAS,3877,,0,73H 73W WS,5416,YYC,178,LAX,3484,,0,73W WS,5416,YYC,178,MCO,3878,,0,73W WS,5416,YYC,178,ORD,3830,,0,73W WS,5416,YYC,178,PHX,3462,,0,73H WS,5416,YYC,178,PSP,3839,,0,73H 73W WS,5416,YYC,178,PVR,1836,,0,73H WS,5416,YYC,178,SAN,3731,,0,73H 73W WS,5416,YYC,178,SFO,3469,,0,73W WS,5416,YYC,178,SJD,1840,,0,73H 73W WS,5416,YYC,178,YBR,31,,0,DH4 WS,5416,YYC,178,YCD,33,,0,DH4 WS,5416,YYC,178,YEG,49,,0,DH4 73W 736 WS,5416,YYC,178,YHM,70,,0,73W 73H WS,5416,YYC,178,YHZ,73,,0,73W WS,5416,YYC,178,YKA,78,,0,DH4 WS,5416,YYC,178,YKF,79,,0,73W WS,5416,YYC,178,YLW,87,,0,736 73W DH4 WS,5416,YYC,178,YMM,90,,0,73W WS,5416,YYC,178,YOW,100,,0,73W WS,5416,YYC,178,YQG,113,,0,73W WS,5416,YYC,178,YQQ,119,,0,73W 73H 736 WS,5416,YYC,178,YQR,120,,0,DH4 73W WS,5416,YYC,178,YQU,122,,0,DH4 WS,5416,YYC,178,YUL,146,,0,73W WS,5416,YYC,178,YVR,156,,0,73W 736 73H WS,5416,YYC,178,YWG,160,,0,73W 736 WS,5416,YYC,178,YXE,166,,0,73W DH4 WS,5416,YYC,178,YXJ,168,,0,DH4 WS,5416,YYC,178,YXS,172,,0,736 WS,5416,YYC,178,YXU,174,,0,73W WS,5416,YYC,178,YXX,175,,0,73W 736 WS,5416,YYC,178,YYJ,184,,0,73W 73H WS,5416,YYC,178,YYZ,193,,0,73H 73W 736 WS,5416,YYG,182,YYZ,193,,0,73W 736 WS,5416,YYJ,184,LAS,3877,,0,73H WS,5416,YYJ,184,YEG,49,,0,73W WS,5416,YYJ,184,YLW,87,,0,DH4 WS,5416,YYJ,184,YVR,156,,0,DH4 WS,5416,YYJ,184,YYC,178,,0,73W 736 73H WS,5416,YYJ,184,YYZ,193,,0,73W WS,5416,YYT,189,MCO,3878,,0,73W WS,5416,YYT,189,YHZ,73,,0,73W WS,5416,YYT,189,YOW,100,,0,73W WS,5416,YYT,189,YYZ,193,,0,73H 73W WS,5416,YYZ,193,ANU,2874,,0,73W WS,5416,YYZ,193,ATL,3682,Y,0,CR9 CR7 WS,5416,YYZ,193,AUA,2895,,0,73W WS,5416,YYZ,193,AZS,5810,,0,73W WS,5416,YYZ,193,BDA,4069,,0,73W WS,5416,YYZ,193,BGI,2875,,0,73W WS,5416,YYZ,193,CCC,1901,,0,73W WS,5416,YYZ,193,CUN,1852,,0,73H 73W WS,5416,YYZ,193,CVG,3488,Y,0,CRJ WS,5416,YYZ,193,DFW,3670,Y,0,319 WS,5416,YYZ,193,DTW,3645,Y,0,CR7 CRJ WS,5416,YYZ,193,FLL,3533,,0,73H 73W WS,5416,YYZ,193,GCM,1926,,0,73W WS,5416,YYZ,193,JFK,3797,,0,CR7 CRJ ERJ WS,5416,YYZ,193,KIN,1779,,0,73H WS,5416,YYZ,193,LAS,3877,,0,73H WS,5416,YYZ,193,LAX,3484,Y,0,738 WS,5416,YYZ,193,LGA,3697,,0,736 73W WS,5416,YYZ,193,LIR,1881,,0,73W WS,5416,YYZ,193,MBJ,1780,,0,73H 73W WS,5416,YYZ,193,MCO,3878,,0,73H 73W WS,5416,YYZ,193,MIA,3576,Y,0,738 WS,5416,YYZ,193,MSP,3858,Y,0,CRJ WS,5416,YYZ,193,MYR,3515,,0,73W WS,5416,YYZ,193,NAS,1953,,0,73W WS,5416,YYZ,193,ORD,3830,,0,E75 WS,5416,YYZ,193,PLS,1754,,0,73H WS,5416,YYZ,193,POP,1761,,0,73H WS,5416,YYZ,193,POS,2902,,0,73W WS,5416,YYZ,193,PUJ,1760,,0,73H 73W WS,5416,YYZ,193,RSW,3793,,0,73W 736 WS,5416,YYZ,193,SJU,2890,,0,73W WS,5416,YYZ,193,SNU,1918,,0,73W WS,5416,YYZ,193,SXM,2899,,0,73W WS,5416,YYZ,193,TPA,3646,,0,73W 736 WS,5416,YYZ,193,UVF,2894,,0,73W WS,5416,YYZ,193,VRA,1923,,0,73W 73H WS,5416,YYZ,193,YDF,45,,0,73W WS,5416,YYZ,193,YEG,49,,0,73W 73H WS,5416,YYZ,193,YHZ,73,,0,73W 736 WS,5416,YYZ,193,YLW,87,,0,73W WS,5416,YYZ,193,YMM,90,,0,73W WS,5416,YYZ,193,YOW,100,,0,736 73W WS,5416,YYZ,193,YQB,111,,0,73W WS,5416,YYZ,193,YQM,117,,0,73W WS,5416,YYZ,193,YQR,120,,0,73W WS,5416,YYZ,193,YQT,121,,0,73W 736 WS,5416,YYZ,193,YUL,146,,0,73W 736 WS,5416,YYZ,193,YVR,156,,0,73W 736 73H WS,5416,YYZ,193,YWG,160,,0,73W 736 WS,5416,YYZ,193,YXE,166,,0,73W WS,5416,YYZ,193,YYC,178,,0,73W 73H 736 WS,5416,YYZ,193,YYG,182,,0,73W 736 WS,5416,YYZ,193,YYJ,184,,0,73W WS,5416,YYZ,193,YYT,189,,0,73W 73H WS,5416,YZF,196,YEG,49,,0,73W 736 WT,\N,KEW,8355,YRL,5527,,0,BEH WT,\N,KIF,5469,WNN,5466,,0,BEH WT,\N,KIF,5469,YXL,169,,0,BEH WT,\N,MSA,5544,XBE,5468,,0,BEH WT,\N,MSA,5544,YXL,169,,0,BEH WT,\N,MSA,5544,ZPB,5546,,0,BEH WT,\N,MSA,5544,ZRJ,5547,,0,BEH WT,\N,SUR,5464,YXL,169,,0,BEH WT,\N,WNN,5466,KIF,5469,,0,BEH WT,\N,WNN,5466,SUR,5464,,0,BEH WT,\N,WNN,5466,YXL,169,,0,BEH WT,\N,XBE,5468,MSA,5544,,0,BEH WT,\N,XBE,5468,YAX,5465,,0,BEH WT,\N,XBE,5468,YTL,5531,,0,BEH WT,\N,XBE,5468,YXL,169,,0,BEH WT,\N,XKS,5480,YTL,5531,,0,BEH WT,\N,XKS,5480,YXL,169,,0,BEH WT,\N,YAC,5478,YXL,169,,0,BEH WT,\N,YAC,5478,ZRJ,5547,,0,BEH WT,\N,YAX,5465,XBE,5468,,0,BEH WT,\N,YAX,5465,YTL,5531,,0,BEH WT,\N,YER,5489,YAX,5465,,0,BEH WT,\N,YER,5489,YTL,5531,,0,BEH WT,\N,YER,5489,YXL,169,,0,BEH WT,\N,YFH,5491,YLH,5510,,0,BEH WT,\N,YFH,5491,YOG,5470,,0,PL2 WT,\N,YFH,5491,YQT,121,,0,PL2 BEH WT,\N,YHP,5471,YNO,5467,,0,BEH WT,\N,YHP,5471,YRL,5527,,0,PL2 BEH WT,\N,YLH,5510,YFH,5491,,0,BEH PL2 WT,\N,YLH,5510,YWP,5533,,0,BEH WT,\N,YNO,5467,YHP,5471,,0,PL2 BEH WT,\N,YNO,5467,YRL,5527,,0,BEH WT,\N,YOG,5470,YFH,5491,,0,PL2 WT,\N,YPL,105,YQT,121,,0,PL2 WT,\N,YPM,5521,YHP,5471,,0,BEH WT,\N,YPM,5521,YNO,5467,,0,PL2 BEH WT,\N,YPM,5521,YRL,5527,,0,PL2 WT,\N,YPM,5521,YVZ,5532,,0,BEH WT,\N,YPM,5521,YXL,169,,0,BEH WT,\N,YQT,121,YFH,5491,,0,BEH PL2 WT,\N,YQT,121,YWP,5533,,0,BEH PL2 WT,\N,YQT,121,YXL,169,,0,BEH WT,\N,YRL,5527,YPM,5521,,0,BEH PL2 WT,\N,YRL,5527,YVZ,5532,,0,BEH WT,\N,YRL,5527,YXL,169,,0,BEH PL2 WT,\N,YRL,5527,ZSJ,5548,,0,PL2 WT,\N,YTL,5531,XBE,5468,,0,BEH WT,\N,YTL,5531,XKS,5480,,0,BEH WT,\N,YTL,5531,YER,5489,,0,BEH WT,\N,YTL,5531,YXL,169,,0,BEH WT,\N,YVZ,5532,ZSJ,5548,,0,BEH WT,\N,YWP,5533,YLH,5510,,0,BEH PL2 WT,\N,YWP,5533,YPL,105,,0,BEH WT,\N,YXL,169,KIF,5469,,0,BEH WT,\N,YXL,169,MSA,5544,,0,BEH WT,\N,YXL,169,WNN,5466,,0,BEH WT,\N,YXL,169,XBE,5468,,0,BEH WT,\N,YXL,169,XKS,5480,,0,BEH WT,\N,YXL,169,YAC,5478,,0,BEH WT,\N,YXL,169,YAX,5465,,0,BEH WT,\N,YXL,169,YER,5489,,0,BEH WT,\N,YXL,169,YQT,121,,0,BEH DH1 WT,\N,YXL,169,YRL,5527,,0,BEH PL2 WT,\N,YXL,169,YTL,5531,,0,BEH WT,\N,YXL,169,ZPB,5546,,0,BEH WT,\N,YXL,169,ZRJ,5547,,0,BEH WT,\N,YXL,169,ZSJ,5548,,0,BEH PL2 WT,\N,ZPB,5546,MSA,5544,,0,BEH WT,\N,ZPB,5546,YXL,169,,0,BEH WT,\N,ZRJ,5547,MSA,5544,,0,BEH WT,\N,ZRJ,5547,YAC,5478,,0,BEH WT,\N,ZSJ,5548,KEW,8355,,0,BEH WT,\N,ZSJ,5548,YPM,5521,,0,PL2 WT,\N,ZSJ,5548,YRL,5527,,0,PL2 BEH WU,13757,BGY,1525,IEV,2944,,0,320 WU,13757,BGY,1525,LWO,2945,,0,320 WU,13757,CGN,344,IEV,2944,,0,320 WU,13757,DOK,2940,KUT,3972,,0,320 WU,13757,DTM,373,IEV,2944,,0,320 WU,13757,DTM,373,LWO,2945,,0,320 WU,13757,FCO,1555,LWO,2945,,0,320 WU,13757,FMM,3986,IEV,2944,,0,320 WU,13757,GRO,1222,IEV,2944,,0,320 WU,13757,GRO,1222,LWO,2945,,0,320 WU,13757,HRK,6105,KUT,3972,,0,320 WU,13757,IEV,2944,BGY,1525,,0,320 WU,13757,IEV,2944,CGN,344,,0,320 WU,13757,IEV,2944,DTM,373,,0,320 WU,13757,IEV,2944,FMM,3986,,0,320 WU,13757,IEV,2944,GRO,1222,,0,320 WU,13757,IEV,2944,KTW,671,,0,320 WU,13757,IEV,2944,KUT,3972,,0,320 WU,13757,IEV,2944,LCA,1197,,0,320 WU,13757,IEV,2944,TSF,1539,,0,320 WU,13757,IEV,2944,VLC,1246,,0,320 WU,13757,IEV,2944,VNO,3959,,0,320 WU,13757,KTW,671,IEV,2944,,0,320 WU,13757,KUT,3972,DOK,2940,,0,320 WU,13757,KUT,3972,HRK,6105,,0,320 WU,13757,KUT,3972,IEV,2944,,0,320 WU,13757,LCA,1197,IEV,2944,,0,320 WU,13757,LWO,2945,BGY,1525,,0,320 WU,13757,LWO,2945,DTM,373,,0,320 WU,13757,LWO,2945,FCO,1555,,0,320 WU,13757,LWO,2945,GRO,1222,,0,320 WU,13757,LWO,2945,NAP,1561,,0,320 WU,13757,LWO,2945,TLV,1590,,0,320 WU,13757,LWO,2945,TSF,1539,,0,320 WU,13757,LWO,2945,VLC,1246,,0,320 WU,13757,NAP,1561,LWO,2945,,0,320 WU,13757,TLV,1590,LWO,2945,,0,320 WU,13757,TSF,1539,IEV,2944,,0,320 WU,13757,TSF,1539,LWO,2945,,0,320 WU,13757,VLC,1246,IEV,2944,,0,320 WU,13757,VLC,1246,LWO,2945,,0,320 WU,13757,VNO,3959,IEV,2944,,0,320 WW,1441,ALC,1212,KEF,16,,0,320 WW,1441,CDG,1382,KEF,16,,0,320 WW,1441,CPH,609,KEF,16,,0,320 WW,1441,KEF,16,ALC,1212,,0,320 WW,1441,KEF,16,CDG,1382,,0,320 WW,1441,KEF,16,CPH,609,,0,320 WW,1441,KEF,16,LGW,502,,0,320 WW,1441,KEF,16,SXF,337,,0,320 WW,1441,LGW,502,KEF,16,,0,320 WW,1441,SXF,337,KEF,16,,0,320 WX,1792,AMS,580,LCY,503,,0,AR8 WX,1792,ANR,299,LCY,503,,0,F50 WX,1792,BES,1403,LCY,503,,0,F50 WX,1792,BVE,1278,LCY,503,,0,AR8 WX,1792,CWL,488,EDI,535,,0,F50 WX,1792,CWL,488,GLA,534,,0,F50 WX,1792,CWL,488,JER,499,,0,F50 WX,1792,CWL,488,ORY,1386,,0,F50 WX,1792,DOL,1408,LCY,503,,0,F50 WX,1792,DRS,338,LCY,503,,0,AR8 WX,1792,DUB,599,LCY,503,,0,AR8 WX,1792,EDI,535,CWL,488,,0,F50 WX,1792,FLR,1563,LCY,503,,0,AR8 WX,1792,GLA,534,CWL,488,,0,F50 WX,1792,JER,499,CWL,488,,0,F50 WX,1792,LCY,503,AMS,580,,0,AR8 WX,1792,LCY,503,ANR,299,,0,F50 WX,1792,LCY,503,BES,1403,,0,F50 WX,1792,LCY,503,BVE,1278,,0,AR8 WX,1792,LCY,503,DOL,1408,,0,F50 WX,1792,LCY,503,DRS,338,,0,AR8 WX,1792,LCY,503,DUB,599,,0,AR8 WX,1792,LCY,503,FLR,1563,,0,AR8 WX,1792,LCY,503,NTE,1418,,0,AR8 F50 WX,1792,LCY,503,ORY,1386,,0,F50 WX,1792,LCY,503,RTM,591,,0,F50 AR8 WX,1792,NTE,1418,LCY,503,,0,AR8 F50 WX,1792,ORY,1386,CWL,488,,0,F50 WX,1792,ORY,1386,LCY,503,,0,F50 WX,1792,RTM,591,LCY,503,,0,F50 AR8 WY,3778,ADD,1107,MCT,2194,,0,73G WY,3778,AMM,2170,MCT,2194,,0,73G 738 WY,3778,AUH,2179,MCT,2194,,0,ATR E75 738 73G WY,3778,BAH,2057,MCT,2194,,0,E75 73G 738 WY,3778,BEY,2177,MCT,2194,,0,738 73G WY,3778,BKK,3885,CAN,3370,,0,343 WY,3778,BKK,3885,MCT,2194,,0,333 332 WY,3778,BLR,3131,MCT,2194,,0,738 73G WY,3778,BOM,2997,MCT,2194,,0,738 WY,3778,CAI,1128,MCT,2194,,0,738 WY,3778,CAN,3370,BKK,3885,,0,343 WY,3778,CCJ,3137,MCT,2194,,0,738 WY,3778,CDG,1382,MCT,2194,,0,332 WY,3778,CGP,3069,MCT,2194,,0,738 WY,3778,CMB,3024,MCT,2194,,0,333 32C 332 738 WY,3778,CMB,3024,MLE,3156,Y,0,32C 343 WY,3778,CMB,3024,SIN,3316,Y,0,32C WY,3778,COK,3136,MCT,2194,,0,738 WY,3778,DAR,1177,MCT,2194,,0,738 WY,3778,DEL,3093,MCT,2194,,0,738 WY,3778,DMM,2064,MCT,2194,,0,738 E75 73G WY,3778,DOH,11051,BAH,2057,,0,738 WY,3778,DOH,11051,MCT,2194,,0,E75 738 73G WY,3778,DXB,2188,MCT,2194,,0,738 E75 332 73G 333 WY,3778,DXB,2188,SLL,2195,,0,E75 WY,3778,FRA,340,MCT,2194,,0,333 332 WY,3778,HYD,\N,MCT,2194,,0,738 WY,3778,IKA,4330,MCT,2194,,0,E75 WY,3778,ISB,2223,MCT,2194,,0,738 73G WY,3778,IST,1701,MCT,2194,,0,321 WY,3778,JAI,3098,MCT,2194,,0,738 WY,3778,JED,2072,MCT,2194,,0,738 WY,3778,JED,2072,SLL,2195,,0,E75 WY,3778,KHI,2206,MCT,2194,,0,738 73G WY,3778,KHS,2192,MCT,2194,,0,ATR WY,3778,KTM,3125,MCT,2194,,0,738 WY,3778,KUL,3304,MCT,2194,,0,332 333 WY,3778,KWI,2176,MCT,2194,,0,E75 738 73G WY,3778,LHE,2207,MCT,2194,,0,73G 333 738 WY,3778,LHR,507,MCT,2194,,0,333 WY,3778,LKO,3105,MCT,2194,,0,738 WY,3778,MAA,3144,MCT,2194,,0,738 WY,3778,MCT,2194,ADD,1107,,0,73G WY,3778,MCT,2194,AMM,2170,,0,73G 738 WY,3778,MCT,2194,AUH,2179,,0,ATR E75 738 73G WY,3778,MCT,2194,BAH,2057,,0,E75 73G 738 WY,3778,MCT,2194,BEY,2177,,0,738 73G WY,3778,MCT,2194,BKK,3885,,0,332 333 WY,3778,MCT,2194,BLR,3131,,0,738 73G WY,3778,MCT,2194,BOM,2997,,0,738 WY,3778,MCT,2194,CAI,1128,,0,738 WY,3778,MCT,2194,CCJ,3137,,0,738 WY,3778,MCT,2194,CDG,1382,,0,332 WY,3778,MCT,2194,CGP,3069,,0,738 WY,3778,MCT,2194,CMB,3024,,0,333 32C 332 738 WY,3778,MCT,2194,COK,3136,,0,738 WY,3778,MCT,2194,DEL,3093,,0,738 WY,3778,MCT,2194,DMM,2064,,0,738 E75 73G WY,3778,MCT,2194,DOH,11051,,0,E75 738 73G WY,3778,MCT,2194,DXB,2188,,0,738 E75 332 73G 333 WY,3778,MCT,2194,FRA,340,,0,333 332 WY,3778,MCT,2194,HYD,\N,,0,738 WY,3778,MCT,2194,IKA,4330,,0,E75 WY,3778,MCT,2194,ISB,2223,,0,738 73G WY,3778,MCT,2194,IST,1701,,0,321 WY,3778,MCT,2194,JAI,3098,,0,738 WY,3778,MCT,2194,JED,2072,,0,738 WY,3778,MCT,2194,KHI,2206,,0,738 73G WY,3778,MCT,2194,KHS,2192,,0,ATR WY,3778,MCT,2194,KTM,3125,,0,738 WY,3778,MCT,2194,KUL,3304,,0,332 333 WY,3778,MCT,2194,KWI,2176,,0,E75 738 73G WY,3778,MCT,2194,LHE,2207,,0,73G 333 738 WY,3778,MCT,2194,LHR,507,,0,333 WY,3778,MCT,2194,LKO,3105,,0,738 WY,3778,MCT,2194,MAA,3144,,0,738 WY,3778,MCT,2194,MED,2074,,0,73G 738 WY,3778,MCT,2194,MLE,3156,,0,332 738 WY,3778,MCT,2194,MUC,346,,0,333 332 WY,3778,MCT,2194,MXP,1524,,0,332 WY,3778,MCT,2194,RUH,2082,,0,E75 738 73G WY,3778,MCT,2194,SLL,2195,,0,E75 738 73G WY,3778,MCT,2194,TRV,3153,,0,738 WY,3778,MCT,2194,ZNZ,1186,,0,738 WY,3778,MCT,2194,ZRH,1678,,0,332 WY,3778,MED,2074,MCT,2194,,0,73G 738 WY,3778,MLE,3156,CMB,3024,Y,0,32C 343 WY,3778,MLE,3156,MCT,2194,,0,332 738 WY,3778,MUC,346,MCT,2194,,0,333 332 WY,3778,MXP,1524,MCT,2194,,0,332 WY,3778,RUH,2082,MCT,2194,,0,E75 738 73G WY,3778,SIN,3316,CMB,3024,Y,0,32C WY,3778,SLL,2195,DXB,2188,,0,E75 WY,3778,SLL,2195,JED,2072,,0,E75 WY,3778,SLL,2195,MCT,2194,,0,E75 738 73G WY,3778,TRV,3153,MCT,2194,,0,738 WY,3778,ZNZ,1186,DAR,1177,,0,738 WY,3778,ZRH,1678,MCT,2194,,0,332 X3,2681,ACE,1055,FRA,340,,0,73H X3,2681,ACE,1055,HAJ,352,,0,73H X3,2681,ACE,1055,STR,350,,0,73H X3,2681,AYT,1688,CGN,344,,0,73H X3,2681,AYT,1688,DUS,345,,0,73H X3,2681,AYT,1688,FRA,340,,0,73H X3,2681,AYT,1688,HAJ,352,,0,73H X3,2681,AYT,1688,HAM,342,,0,73H X3,2681,AYT,1688,MUC,346,,0,73H X3,2681,AYT,1688,NUE,347,,0,73H X3,2681,AYT,1688,STR,350,,0,73H X3,2681,AYT,1688,ZQW,393,,0,73H X3,2681,BSL,1423,FNC,4091,,0,73H X3,2681,BSL,1423,FUE,1051,,0,73H X3,2681,BSL,1423,HER,1452,,0,73H X3,2681,BSL,1423,KGS,1458,,0,73H X3,2681,BSL,1423,LPA,1054,,0,73H X3,2681,BSL,1423,PMI,3998,,0,73H X3,2681,BSL,1423,RHO,1472,,0,73H X3,2681,BSL,1423,TFS,1056,,0,73H X3,2681,BSL,1423,ZQW,393,,0,73H X3,2681,BVC,1103,SID,1102,,0,73H X3,2681,CFU,1460,DUS,345,,0,73H X3,2681,CFU,1460,FRA,340,,0,73H X3,2681,CFU,1460,HAJ,352,,0,73H X3,2681,CFU,1460,MUC,346,,0,73H X3,2681,CFU,1460,STR,350,,0,73H X3,2681,CGN,344,AYT,1688,,0,73H X3,2681,CGN,344,BVC,1103,,0,73H X3,2681,CGN,344,FNC,4091,,0,73H X3,2681,CGN,344,FUE,1051,,0,73H X3,2681,CGN,344,HER,1452,,0,73H X3,2681,CGN,344,KGS,1458,,0,73H X3,2681,CGN,344,LPA,1054,,0,73H X3,2681,CGN,344,MUC,346,,0,73H X3,2681,CGN,344,PMI,3998,,0,73H X3,2681,CGN,344,RHO,1472,,0,73H X3,2681,CGN,344,TFS,1056,,0,73H X3,2681,DLM,1715,DUS,345,,0,73H X3,2681,DLM,1715,FRA,340,,0,73H X3,2681,DLM,1715,HAJ,352,,0,73H X3,2681,DLM,1715,MUC,346,,0,73H X3,2681,DLM,1715,STR,350,,0,73H X3,2681,DUS,345,AYT,1688,,0,73H X3,2681,DUS,345,CFU,1460,,0,73H X3,2681,DUS,345,DLM,1715,,0,73H X3,2681,DUS,345,FAO,1626,,0,73H X3,2681,DUS,345,FUE,1051,,0,73H X3,2681,DUS,345,GPA,1473,,0,73H X3,2681,DUS,345,HER,1452,,0,73H X3,2681,DUS,345,HRG,1130,,0,73H X3,2681,DUS,345,KGS,1458,,0,73H X3,2681,DUS,345,LPA,1054,,0,73H X3,2681,DUS,345,PMI,3998,,0,73H X3,2681,DUS,345,RHO,1472,,0,73H X3,2681,DUS,345,TFS,1056,,0,73H X3,2681,DUS,345,XRY,1226,,0,73H X3,2681,FAO,1626,DUS,345,,0,73H X3,2681,FAO,1626,FRA,340,,0,73H X3,2681,FAO,1626,HAJ,352,,0,73H X3,2681,FAO,1626,MUC,346,,0,73H X3,2681,FAO,1626,STR,350,,0,73H X3,2681,FMM,3986,PMI,3998,,0,73H X3,2681,FNC,4091,BSL,1423,,0,73H X3,2681,FNC,4091,CGN,344,,0,73H X3,2681,FNC,4091,FRA,340,,0,73H X3,2681,FNC,4091,HAJ,352,,0,73H X3,2681,FNC,4091,STR,350,,0,73H X3,2681,FRA,340,ACE,1055,,0,73H X3,2681,FRA,340,AYT,1688,,0,73H X3,2681,FRA,340,BVC,1103,,0,73H X3,2681,FRA,340,CFU,1460,,0,73H X3,2681,FRA,340,DLM,1715,,0,73H X3,2681,FRA,340,FAO,1626,,0,73H X3,2681,FRA,340,FNC,4091,,0,73H X3,2681,FRA,340,FUE,1051,,0,73H X3,2681,FRA,340,GPA,1473,,0,73H X3,2681,FRA,340,HER,1452,,0,73H X3,2681,FRA,340,KGS,1458,,0,73H X3,2681,FRA,340,LPA,1054,,0,73H X3,2681,FRA,340,MAH,1231,,0,73H X3,2681,FRA,340,PMI,3998,,0,73H X3,2681,FRA,340,RHO,1472,,0,73H X3,2681,FRA,340,TFS,1056,,0,73H X3,2681,FRA,340,XRY,1226,,0,73H X3,2681,FUE,1051,BSL,1423,,0,73H X3,2681,FUE,1051,CGN,344,,0,73H X3,2681,FUE,1051,DUS,345,,0,73H X3,2681,FUE,1051,FRA,340,,0,73H X3,2681,FUE,1051,HAJ,352,,0,73H X3,2681,FUE,1051,MUC,346,,0,73H X3,2681,FUE,1051,STR,350,,0,73H X3,2681,FUE,1051,ZQW,393,,0,73H X3,2681,GPA,1473,DUS,345,,0,73H X3,2681,GPA,1473,FRA,340,,0,73H X3,2681,HAJ,352,ACE,1055,,0,73H X3,2681,HAJ,352,AYT,1688,,0,73H X3,2681,HAJ,352,BVC,1103,,0,73H X3,2681,HAJ,352,CFU,1460,,0,73H X3,2681,HAJ,352,DLM,1715,,0,73H X3,2681,HAJ,352,FAO,1626,,0,73H X3,2681,HAJ,352,FNC,4091,,0,73H X3,2681,HAJ,352,FUE,1051,,0,73H X3,2681,HAJ,352,HER,1452,,0,73H X3,2681,HAJ,352,KGS,1458,,0,73H X3,2681,HAJ,352,LPA,1054,,0,73H X3,2681,HAJ,352,MAH,1231,,0,73H X3,2681,HAJ,352,PMI,3998,,0,73H X3,2681,HAJ,352,RHO,1472,,0,73H X3,2681,HAJ,352,TFS,1056,,0,73H X3,2681,HAJ,352,XRY,1226,,0,73H X3,2681,HAM,342,AYT,1688,,0,73H X3,2681,HAM,342,FRA,340,,0,73H X3,2681,HAM,342,HER,1452,,0,73H X3,2681,HAM,342,MAH,1231,,0,73H X3,2681,HER,1452,BSL,1423,,0,73H X3,2681,HER,1452,CGN,344,,0,73H X3,2681,HER,1452,DUS,345,,0,73H X3,2681,HER,1452,FRA,340,,0,73H X3,2681,HER,1452,HAJ,352,,0,73H X3,2681,HER,1452,HAM,342,,0,73H X3,2681,HER,1452,MUC,346,,0,73H X3,2681,HER,1452,NUE,347,,0,73H X3,2681,HER,1452,STR,350,,0,73H X3,2681,HRG,1130,DUS,345,,0,73H X3,2681,KGS,1458,BSL,1423,,0,73H X3,2681,KGS,1458,CGN,344,,0,73H X3,2681,KGS,1458,DUS,345,,0,73H X3,2681,KGS,1458,FRA,340,,0,73H X3,2681,KGS,1458,HAJ,352,,0,73H X3,2681,KGS,1458,MUC,346,,0,73H X3,2681,KGS,1458,STR,350,,0,73H X3,2681,LEJ,348,RHO,1472,,0,73H X3,2681,LPA,1054,BSL,1423,,0,73H X3,2681,LPA,1054,CGN,344,,0,73H X3,2681,LPA,1054,DUS,345,,0,73H X3,2681,LPA,1054,FRA,340,,0,73H X3,2681,LPA,1054,HAJ,352,,0,73H X3,2681,LPA,1054,MUC,346,,0,73H X3,2681,LPA,1054,NUE,347,,0,73H X3,2681,LPA,1054,STR,350,,0,73H X3,2681,MAH,1231,FRA,340,,0,73H X3,2681,MAH,1231,HAJ,352,,0,73H X3,2681,MAH,1231,HAM,342,,0,73H X3,2681,MAH,1231,STR,350,,0,73H X3,2681,MUC,346,AYT,1688,,0,73H X3,2681,MUC,346,BVC,1103,,0,73H X3,2681,MUC,346,CFU,1460,,0,73H X3,2681,MUC,346,DLM,1715,,0,73H X3,2681,MUC,346,DUS,345,,0,73H X3,2681,MUC,346,FAO,1626,,0,73H X3,2681,MUC,346,FUE,1051,,0,73H X3,2681,MUC,346,HER,1452,,0,73H X3,2681,MUC,346,KGS,1458,,0,73H X3,2681,MUC,346,LPA,1054,,0,73H X3,2681,MUC,346,PMI,3998,,0,73H X3,2681,MUC,346,RHO,1472,,0,73H X3,2681,MUC,346,TFS,1056,,0,73H X3,2681,MUC,346,XRY,1226,,0,73H X3,2681,NUE,347,AYT,1688,,0,73H X3,2681,NUE,347,HER,1452,,0,73H X3,2681,NUE,347,PMI,3998,,0,73H X3,2681,NUE,347,RHO,1472,,0,73H X3,2681,NUE,347,TFS,1056,,0,73H X3,2681,NUE,347,ZQW,393,,0,73H X3,2681,PMI,3998,BSL,1423,,0,73H X3,2681,PMI,3998,CGN,344,,0,73H X3,2681,PMI,3998,DUS,345,,0,73H X3,2681,PMI,3998,FMM,3986,,0,73H X3,2681,PMI,3998,FRA,340,,0,73H X3,2681,PMI,3998,HAJ,352,,0,73H X3,2681,PMI,3998,MUC,346,,0,73H X3,2681,PMI,3998,NUE,347,,0,73H X3,2681,PMI,3998,STR,350,,0,73H X3,2681,PMI,3998,ZQW,393,,0,73H X3,2681,RHO,1472,BSL,1423,,0,73H X3,2681,RHO,1472,CGN,344,,0,73H X3,2681,RHO,1472,DUS,345,,0,73H X3,2681,RHO,1472,FRA,340,,0,73H X3,2681,RHO,1472,HAJ,352,,0,73H X3,2681,RHO,1472,LEJ,348,,0,73H X3,2681,RHO,1472,MUC,346,,0,73H X3,2681,RHO,1472,NUE,347,,0,73H X3,2681,RHO,1472,STR,350,,0,73H X3,2681,SID,1102,CGN,344,,0,73H X3,2681,SID,1102,FRA,340,,0,73H X3,2681,SID,1102,HAJ,352,,0,73H X3,2681,SID,1102,MUC,346,,0,73H X3,2681,SID,1102,STR,350,,0,73H X3,2681,STR,350,ACE,1055,,0,73H X3,2681,STR,350,AYT,1688,,0,73H X3,2681,STR,350,BVC,1103,,0,73H X3,2681,STR,350,CFU,1460,,0,73H X3,2681,STR,350,DLM,1715,,0,73H X3,2681,STR,350,FAO,1626,,0,73H X3,2681,STR,350,FNC,4091,,0,73H X3,2681,STR,350,FUE,1051,,0,73H X3,2681,STR,350,HER,1452,,0,73H X3,2681,STR,350,KGS,1458,,0,73H X3,2681,STR,350,LPA,1054,,0,73H X3,2681,STR,350,MAH,1231,,0,73H X3,2681,STR,350,MUC,346,,0,73H X3,2681,STR,350,PMI,3998,,0,73H X3,2681,STR,350,RHO,1472,,0,73H X3,2681,STR,350,TFS,1056,,0,73H X3,2681,STR,350,XRY,1226,,0,73H X3,2681,TFS,1056,BSL,1423,,0,73H X3,2681,TFS,1056,CGN,344,,0,73H X3,2681,TFS,1056,DUS,345,,0,73H X3,2681,TFS,1056,FRA,340,,0,73H X3,2681,TFS,1056,HAJ,352,,0,73H X3,2681,TFS,1056,MUC,346,,0,73H X3,2681,TFS,1056,NUE,347,,0,73H X3,2681,TFS,1056,STR,350,,0,73H X3,2681,TFS,1056,ZQW,393,,0,73H X3,2681,XRY,1226,DUS,345,,0,73H X3,2681,XRY,1226,FRA,340,,0,73H X3,2681,XRY,1226,HAJ,352,,0,73H X3,2681,XRY,1226,HAM,342,,0,73H X3,2681,XRY,1226,MUC,346,,0,73H X3,2681,XRY,1226,STR,350,,0,73H X3,2681,ZQW,393,AYT,1688,,0,73H X3,2681,ZQW,393,FUE,1051,,0,73H X3,2681,ZQW,393,LPA,1054,,0,73H X3,2681,ZQW,393,PMI,3998,,0,73H X3,2681,ZQW,393,TFS,1056,,0,73H X4,\N,EXI,7141,JNU,3492,,0,PA1 X4,\N,JNU,3492,EXI,7141,,0,PA1 X4,\N,JNU,3492,KAE,7243,,0,CNC PA2 X4,\N,KAE,7243,JNU,3492,,0,CNC PA2 X7,1775,APF,4012,MIA,3576,,0,CNA X7,1775,MIA,3576,APF,4012,,0,CNA XK,1909,AJA,1324,LGG,309,,0,320 XK,1909,AJA,1324,LYS,1335,,0,320 XK,1909,AJA,1324,MRS,1353,,0,320 AT7 XK,1909,AJA,1324,NCE,1354,,0,AT7 XK,1909,AJA,1324,NTE,1418,,0,320 XK,1909,AJA,1324,ORY,1386,,0,319 XK,1909,AJA,1324,TLS,1273,,0,320 XK,1909,BIA,1321,EBU,1350,,0,AT7 XK,1909,BIA,1321,LGG,309,,0,320 XK,1909,BIA,1321,LYS,1335,,0,320 XK,1909,BIA,1321,MRS,1353,,0,320 XK,1909,BIA,1321,NCE,1354,,0,AT7 XK,1909,BIA,1321,NTE,1418,,0,320 XK,1909,BIA,1321,ORY,1386,,0,319 XK,1909,CLY,1322,MRS,1353,,0,AT7 XK,1909,CLY,1322,NCE,1354,,0,AT7 XK,1909,CLY,1322,ORY,1386,,0,319 XK,1909,EBU,1350,BIA,1321,,0,AT7 XK,1909,FSC,1323,MRS,1353,,0,AT7 XK,1909,FSC,1323,NCE,1354,,0,AT7 XK,1909,FSC,1323,ORY,1386,,0,320 XK,1909,LGG,309,AJA,1324,,0,320 XK,1909,LGG,309,BIA,1321,,0,320 XK,1909,LYS,1335,AJA,1324,,0,320 XK,1909,LYS,1335,BIA,1321,,0,320 XK,1909,MRS,1353,AJA,1324,,0,320 AT7 XK,1909,MRS,1353,BIA,1321,,0,320 XK,1909,MRS,1353,CLY,1322,,0,AT7 XK,1909,MRS,1353,FSC,1323,,0,AT7 XK,1909,MRS,1353,MXP,1524,,0,AT7 XK,1909,MXP,1524,MRS,1353,,0,AT7 XK,1909,NCE,1354,AJA,1324,,0,AT7 XK,1909,NCE,1354,BIA,1321,,0,AT7 XK,1909,NCE,1354,CLY,1322,,0,AT7 XK,1909,NCE,1354,FSC,1323,,0,AT7 XK,1909,NTE,1418,AJA,1324,,0,320 XK,1909,NTE,1418,BIA,1321,,0,320 XK,1909,ORY,1386,AJA,1324,,0,319 XK,1909,ORY,1386,BIA,1321,,0,319 XK,1909,ORY,1386,CLY,1322,,0,319 XK,1909,ORY,1386,FSC,1323,,0,320 XK,1909,TLS,1273,AJA,1324,,0,320 XL,1034,CUE,2671,UIO,2688,,0,319 XL,1034,GPS,2672,GYE,2673,,0,319 XL,1034,GYE,2673,GPS,2672,,0,319 XL,1034,GYE,2673,JFK,3797,,0,763 XL,1034,GYE,2673,MIA,3576,Y,0,738 763 757 XL,1034,GYE,2673,SCY,6045,,0,319 XL,1034,GYE,2673,UIO,2688,,0,319 320 XL,1034,JFK,3797,GYE,2673,,0,763 XL,1034,MIA,3576,GYE,2673,Y,0,738 763 757 XL,1034,MIA,3576,UIO,2688,,0,763 XL,1034,SCY,6045,GYE,2673,,0,319 XL,1034,UIO,2688,CUE,2671,,0,319 XL,1034,UIO,2688,GYE,2673,,0,319 320 XL,1034,UIO,2688,MIA,3576,,0,763 XQ,4573,ADA,1685,ADB,1706,,0,738 XQ,4573,ADA,1685,AYT,1688,,0,738 XQ,4573,ADB,1706,ADA,1685,,0,738 XQ,4573,ADB,1706,AMS,580,,0,738 XQ,4573,ADB,1706,ARN,737,,0,738 XQ,4573,ADB,1706,ASR,1696,,0,738 XQ,4573,ADB,1706,AYT,1688,,0,738 XQ,4573,ADB,1706,BRE,353,,0,738 XQ,4573,ADB,1706,BSL,1423,,0,738 XQ,4573,ADB,1706,CDG,1382,,0,738 XQ,4573,ADB,1706,CGN,344,,0,738 XQ,4573,ADB,1706,CPH,609,,0,738 XQ,4573,ADB,1706,DIY,1722,,0,738 XQ,4573,ADB,1706,DTM,373,,0,738 XQ,4573,ADB,1706,DUS,345,,0,738 XQ,4573,ADB,1706,FRA,340,,0,738 XQ,4573,ADB,1706,GZT,1689,,0,738 XQ,4573,ADB,1706,HAJ,352,,0,738 XQ,4573,ADB,1706,HAM,342,,0,738 XQ,4573,ADB,1706,HEL,421,,0,738 XQ,4573,ADB,1706,LYS,1335,,0,738 XQ,4573,ADB,1706,MUC,346,,0,738 XQ,4573,ADB,1706,NTE,1418,,0,738 XQ,4573,ADB,1706,SAW,4317,,0,738 XQ,4573,ADB,1706,STR,350,,0,738 XQ,4573,ADB,1706,SXB,1435,,0,738 XQ,4573,ADB,1706,TXL,351,,0,738 XQ,4573,ADB,1706,TZX,1726,,0,738 XQ,4573,ADB,1706,VIE,1613,,0,738 XQ,4573,ADB,1706,ZRH,1678,,0,738 XQ,4573,AMS,580,ADB,1706,,0,738 XQ,4573,AMS,580,ASR,1696,,0,738 XQ,4573,ARN,737,ADB,1706,,0,738 XQ,4573,ASR,1696,ADB,1706,,0,738 XQ,4573,ASR,1696,AMS,580,,0,738 XQ,4573,AYT,1688,ADA,1685,,0,738 XQ,4573,AYT,1688,ADB,1706,,0,738 XQ,4573,AYT,1688,BSL,1423,,0,738 XQ,4573,AYT,1688,CGN,344,,0,738 XQ,4573,AYT,1688,DUS,345,,0,738 XQ,4573,AYT,1688,FRA,340,,0,738 XQ,4573,AYT,1688,GRZ,1609,,0,738 XQ,4573,AYT,1688,HAJ,352,,0,738 XQ,4573,AYT,1688,HAM,342,,0,738 XQ,4573,AYT,1688,LEJ,348,,0,738 XQ,4573,AYT,1688,LNZ,1611,,0,738 XQ,4573,AYT,1688,MUC,346,,0,738 XQ,4573,AYT,1688,NUE,347,,0,738 XQ,4573,AYT,1688,PAD,371,,0,738 XQ,4573,AYT,1688,SAW,4317,,0,738 XQ,4573,AYT,1688,STR,350,,0,738 XQ,4573,AYT,1688,SZG,1612,,0,738 XQ,4573,AYT,1688,TXL,351,,0,738 XQ,4573,AYT,1688,VIE,1613,,0,738 XQ,4573,AYT,1688,ZRH,1678,,0,738 XQ,4573,BRE,353,ADB,1706,,0,738 XQ,4573,BSL,1423,ADB,1706,,0,738 XQ,4573,BSL,1423,AYT,1688,,0,738 XQ,4573,CDG,1382,ADB,1706,,0,738 XQ,4573,CGN,344,ADB,1706,,0,738 XQ,4573,CGN,344,AYT,1688,,0,738 XQ,4573,CPH,609,ADB,1706,,0,738 XQ,4573,DIY,1722,ADB,1706,,0,738 XQ,4573,DTM,373,ADB,1706,,0,738 XQ,4573,DTM,373,SAW,4317,,0,738 XQ,4573,DUS,345,ADB,1706,,0,738 XQ,4573,DUS,345,AYT,1688,,0,738 XQ,4573,FRA,340,ADB,1706,,0,738 XQ,4573,FRA,340,AYT,1688,,0,738 XQ,4573,GRZ,1609,AYT,1688,,0,738 XQ,4573,GZT,1689,ADB,1706,,0,738 XQ,4573,HAJ,352,ADB,1706,,0,738 XQ,4573,HAJ,352,AYT,1688,,0,738 XQ,4573,HAM,342,ADB,1706,,0,738 XQ,4573,HAM,342,AYT,1688,,0,738 XQ,4573,HEL,421,ADB,1706,,0,738 XQ,4573,LEJ,348,AYT,1688,,0,738 XQ,4573,LNZ,1611,AYT,1688,,0,738 XQ,4573,LNZ,1611,SZG,1612,,0,738 XQ,4573,LYS,1335,ADB,1706,,0,738 XQ,4573,MUC,346,ADB,1706,,0,738 XQ,4573,MUC,346,AYT,1688,,0,738 XQ,4573,NTE,1418,ADB,1706,,0,738 XQ,4573,NUE,347,AYT,1688,,0,738 XQ,4573,PAD,371,AYT,1688,,0,738 XQ,4573,SAW,4317,ADB,1706,,0,738 XQ,4573,SAW,4317,AYT,1688,,0,738 XQ,4573,SAW,4317,DTM,373,,0,738 XQ,4573,STR,350,ADB,1706,,0,738 XQ,4573,STR,350,AYT,1688,,0,738 XQ,4573,SXB,1435,ADB,1706,,0,738 XQ,4573,SZG,1612,AYT,1688,,0,738 XQ,4573,TXL,351,ADB,1706,,0,738 XQ,4573,TXL,351,AYT,1688,,0,738 XQ,4573,TZX,1726,ADB,1706,,0,738 XQ,4573,VIE,1613,ADB,1706,,0,738 XQ,4573,VIE,1613,AYT,1688,,0,738 XQ,4573,ZRH,1678,ADB,1706,,0,738 XQ,4573,ZRH,1678,AYT,1688,,0,738 XU,\N,ADE,3977,BBO,1122,,0,EM2 XU,\N,BBO,1122,ADE,3977,,0,EM2 XU,\N,BBO,1122,BSA,5686,,0,EM2 XU,\N,BBO,1122,DXB,2188,,0,M82 XU,\N,BBO,1122,MGQ,5687,,0,M82 XU,\N,BBO,1122,SHJ,2191,,0,M82 XU,\N,BSA,5686,BBO,1122,,0,EM2 XU,\N,BSA,5686,GLK,5688,,0,EM2 XU,\N,DXB,2188,BBO,1122,,0,M82 XU,\N,DXB,2188,HGA,1121,,0,M82 XU,\N,EBB,1187,NBO,4059,,0,M82 XU,\N,GLK,5688,BSA,5686,,0,EM2 XU,\N,GLK,5688,MGQ,5687,,0,EM2 XU,\N,GLK,5688,WJR,1149,,0,EM2 XU,\N,HGA,1121,BBO,1122,,0,M82 XU,\N,HGA,1121,WJR,1149,,0,EM2 XU,\N,MGQ,5687,BBO,1122,,0,M82 XU,\N,MGQ,5687,GLK,5688,,0,EM2 XU,\N,MGQ,5687,HGA,1121,,0,M82 XU,\N,MGQ,5687,WJR,1149,,0,M82 DC9 XU,\N,NBO,4059,EBB,1187,,0,M82 XU,\N,NBO,4059,GLK,5688,,0,EM2 XU,\N,NBO,4059,HGA,1121,,0,EM2 XU,\N,NBO,4059,MGQ,5687,,0,M82 DC9 XU,\N,SHJ,2191,HGA,1121,,0,M82 XU,\N,WJR,1149,NBO,4059,,0,M82 EM2 DC9 XV,16844,DOM,2877,EIS,2903,,0,J32 XV,16844,DOM,2877,SXM,2899,,0,J32 XV,16844,EIS,2903,DOM,2877,,0,J32 XV,16844,EIS,2903,SXM,2899,,0,J32 XV,16844,SXM,2899,DOM,2877,,0,J32 XV,16844,SXM,2899,EIS,2903,,0,J32 XY,3754,ADA,1685,JED,2072,,0,320 XY,3754,AHB,2059,JED,2072,,0,320 XY,3754,AHB,2059,RUH,2082,,0,320 XY,3754,AMM,2170,JED,2072,,0,320 XY,3754,AMM,2170,MED,2074,,0,320 XY,3754,AMM,2170,RUH,2082,,0,320 XY,3754,ASW,1136,JED,2072,,0,320 XY,3754,ATZ,5691,JED,2072,,0,320 XY,3754,ATZ,5691,RUH,2082,,0,320 XY,3754,AUH,2179,DMM,2064,Y,0,320 319 XY,3754,AUH,2179,JED,2072,Y,0,77W XY,3754,AUH,2179,MED,2074,Y,0,320 XY,3754,AUH,2179,RUH,2082,Y,0,320 346 332 77W XY,3754,CGK,3275,JED,2072,,0,330 XY,3754,CMN,1074,JED,2072,,0,330 XY,3754,DMM,2064,AUH,2179,Y,0,320 319 XY,3754,DMM,2064,JED,2072,,0,320 XY,3754,DMM,2064,MED,2074,,0,320 XY,3754,DMM,2064,RUH,2082,,0,320 XY,3754,DMM,2064,TIF,2090,,0,320 XY,3754,DMM,2064,YNB,2096,,0,320 XY,3754,DXB,2188,JED,2072,,0,320 XY,3754,DXB,2188,RUH,2082,,0,320 XY,3754,GIZ,2066,JED,2072,,0,320 XY,3754,GIZ,2066,MED,2074,,0,320 XY,3754,GIZ,2066,RUH,2082,,0,320 XY,3754,HBE,3410,JED,2072,,0,320 XY,3754,HBE,3410,RUH,2082,,0,320 XY,3754,HMB,8235,JED,2072,,0,320 XY,3754,HMB,8235,RUH,2082,,0,320 XY,3754,HTY,7453,JED,2072,,0,320 XY,3754,HTY,7453,MED,2074,,0,320 XY,3754,HTY,7453,RUH,2082,,0,320 XY,3754,ISB,2223,JED,2072,,0,330 XY,3754,JED,2072,ADA,1685,,0,320 XY,3754,JED,2072,AHB,2059,,0,320 XY,3754,JED,2072,AMM,2170,,0,320 XY,3754,JED,2072,ASW,1136,,0,320 XY,3754,JED,2072,ATZ,5691,,0,320 XY,3754,JED,2072,AUH,2179,Y,0,77W XY,3754,JED,2072,CGK,3275,,0,330 XY,3754,JED,2072,CMN,1074,,0,330 XY,3754,JED,2072,DMM,2064,,0,320 XY,3754,JED,2072,DXB,2188,,0,320 XY,3754,JED,2072,GIZ,2066,,0,320 XY,3754,JED,2072,HBE,3410,,0,320 XY,3754,JED,2072,HMB,8235,,0,320 XY,3754,JED,2072,HTY,7453,,0,320 XY,3754,JED,2072,ISB,2223,,0,330 XY,3754,JED,2072,KHI,2206,,0,330 XY,3754,JED,2072,KRT,1175,,0,320 XY,3754,JED,2072,KUL,3304,,0,330 XY,3754,JED,2072,KWI,2176,,0,320 XY,3754,JED,2072,LGW,502,,0,330 XY,3754,JED,2072,LHE,2207,,0,330 XY,3754,JED,2072,LXR,1132,,0,320 XY,3754,JED,2072,MAN,478,,0,330 XY,3754,JED,2072,MED,2074,,0,320 XY,3754,JED,2072,RUH,2082,,0,320 XY,3754,JED,2072,SAW,4317,,0,320 XY,3754,KHI,2206,JED,2072,,0,330 XY,3754,KRT,1175,JED,2072,,0,320 XY,3754,KRT,1175,MED,2074,,0,320 XY,3754,KRT,1175,RUH,2082,,0,320 XY,3754,KUL,3304,JED,2072,,0,330 XY,3754,KWI,2176,JED,2072,,0,320 XY,3754,KWI,2176,MED,2074,,0,320 XY,3754,KWI,2176,RUH,2082,,0,320 XY,3754,KWI,2176,TIF,2090,,0,320 XY,3754,LGW,502,JED,2072,,0,330 XY,3754,LHE,2207,JED,2072,,0,330 XY,3754,LXR,1132,JED,2072,,0,320 XY,3754,LXR,1132,RUH,2082,,0,320 XY,3754,MAN,478,JED,2072,,0,330 XY,3754,MED,2074,AMM,2170,,0,320 XY,3754,MED,2074,AUH,2179,Y,0,320 XY,3754,MED,2074,DMM,2064,,0,320 XY,3754,MED,2074,GIZ,2066,,0,320 XY,3754,MED,2074,HTY,7453,,0,320 XY,3754,MED,2074,JED,2072,,0,320 747 XY,3754,MED,2074,KRT,1175,,0,320 XY,3754,MED,2074,KWI,2176,,0,320 XY,3754,MED,2074,RUH,2082,,0,320 XY,3754,MED,2074,SAW,4317,,0,320 XY,3754,RUH,2082,AHB,2059,,0,320 XY,3754,RUH,2082,AMM,2170,,0,320 XY,3754,RUH,2082,ATZ,5691,,0,320 XY,3754,RUH,2082,AUH,2179,Y,0,320 346 332 77W XY,3754,RUH,2082,DMM,2064,,0,320 XY,3754,RUH,2082,DXB,2188,,0,320 XY,3754,RUH,2082,GIZ,2066,,0,320 XY,3754,RUH,2082,HBE,3410,,0,320 XY,3754,RUH,2082,HMB,8235,,0,320 XY,3754,RUH,2082,HTY,7453,,0,320 XY,3754,RUH,2082,JED,2072,,0,320 XY,3754,RUH,2082,KRT,1175,,0,320 XY,3754,RUH,2082,KWI,2176,,0,320 XY,3754,RUH,2082,LXR,1132,,0,320 XY,3754,RUH,2082,MED,2074,,0,320 XY,3754,RUH,2082,SAW,4317,,0,320 XY,3754,RUH,2082,SSH,4057,,0,320 XY,3754,RUH,2082,TIF,2090,,0,320 XY,3754,SAW,4317,JED,2072,,0,320 XY,3754,SAW,4317,MED,2074,,0,320 XY,3754,SAW,4317,RUH,2082,,0,320 XY,3754,SSH,4057,RUH,2082,,0,320 XY,3754,TIF,2090,DMM,2064,,0,320 XY,3754,TIF,2090,KWI,2176,,0,320 XY,3754,TIF,2090,RUH,2082,,0,320 XY,3754,YNB,2096,DMM,2064,,0,320 Y4,5325,ACA,1783,TIJ,1847,,0,319 Y4,5325,AGU,1785,CUN,1852,,0,320 Y4,5325,AGU,1785,LAX,3484,,0,320 Y4,5325,AGU,1785,TIJ,1847,,0,320 Y4,5325,BJX,1815,CUN,1852,,0,320 Y4,5325,BJX,1815,MDW,3747,,0,319 Y4,5325,BJX,1815,TIJ,1847,,0,320 319 Y4,5325,CEN,1794,TIJ,1847,,0,320 Y4,5325,CJS,1796,GDL,1804,,0,319 Y4,5325,CJS,1796,MEX,1824,,0,319 Y4,5325,CJS,1796,MTY,1825,,0,320 Y4,5325,CJS,1796,TIJ,1847,,0,319 320 Y4,5325,CLQ,1808,TIJ,1847,,0,320 Y4,5325,CUL,1792,GDL,1804,,0,319 Y4,5325,CUL,1792,MEX,1824,,0,320 319 Y4,5325,CUL,1792,MTY,1825,,0,320 Y4,5325,CUL,1792,TIJ,1847,,0,319 320 Y4,5325,CUN,1852,AGU,1785,,0,320 Y4,5325,CUN,1852,BJX,1815,,0,320 Y4,5325,CUN,1852,CUU,1797,,0,320 Y4,5325,CUN,1852,GDL,1804,,0,320 319 Y4,5325,CUN,1852,HMO,1807,,0,320 Y4,5325,CUN,1852,MEX,1824,,0,319 320 Y4,5325,CUN,1852,MTY,1825,,0,320 Y4,5325,CUN,1852,PBC,1831,,0,320 Y4,5325,CUN,1852,QRO,1838,,0,320 319 Y4,5325,CUN,1852,SLP,1842,,0,320 Y4,5325,CUN,1852,TIJ,1847,,0,320 319 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Y4,5325,TIJ,1847,OAX,1829,,0,319 Y4,5325,TIJ,1847,PBC,1831,,0,320 Y4,5325,TIJ,1847,PVR,1836,,0,319 Y4,5325,TIJ,1847,QRO,1838,,0,320 319 Y4,5325,TIJ,1847,SJD,1840,,0,320 Y4,5325,TIJ,1847,SLP,1842,,0,319 Y4,5325,TIJ,1847,TGZ,1846,,0,319 Y4,5325,TIJ,1847,TPQ,1802,,0,319 Y4,5325,TIJ,1847,UPN,1835,,0,320 319 Y4,5325,TIJ,1847,VER,1854,,0,320 Y4,5325,TIJ,1847,ZCL,1855,,0,320 Y4,5325,TIJ,1847,ZLO,1858,,0,319 Y4,5325,TLC,1850,CUN,1852,,0,320 Y4,5325,TPQ,1802,TIJ,1847,,0,319 Y4,5325,UPN,1835,LAX,3484,,0,320 319 Y4,5325,UPN,1835,TIJ,1847,,0,320 319 Y4,5325,VER,1854,CUN,1852,,0,320 Y4,5325,VER,1854,GDL,1804,,0,319 Y4,5325,VER,1854,MTY,1825,,0,320 Y4,5325,VER,1854,TIJ,1847,,0,320 Y4,5325,ZCL,1855,LAX,3484,,0,320 Y4,5325,ZCL,1855,MDW,3747,,0,319 Y4,5325,ZCL,1855,TIJ,1847,,0,320 Y4,5325,ZLO,1858,TIJ,1847,,0,319 Y5,17023,BKK,3885,RGN,3239,,0,320 Y5,17023,RGN,3239,BKK,3885,,0,320 Y5,17023,RGN,3239,SIN,3316,,0,320 Y5,17023,SIN,3316,RGN,3239,,0,320 Y7,13088,ABA,2955,NSK,4352,,0,738 Y7,13088,AER,2965,DME,4029,,0,738 Y7,13088,AER,2965,KJA,4374,,0,738 Y7,13088,DME,4029,KJA,4374,,0,738 Y7,13088,DME,4029,NSK,4352,,0,738 Y7,13088,DXB,2188,KJA,4374,,0,738 Y7,13088,DYU,2979,KJA,4374,,0,738 Y7,13088,EGO,6156,GOJ,4274,,0,738 Y7,13088,EVN,3964,KJA,4374,,0,738 Y7,13088,GOJ,4274,EGO,6156,,0,738 Y7,13088,GOJ,4274,NSK,4352,,0,738 Y7,13088,GYD,2922,KJA,4374,,0,738 Y7,13088,GYD,2922,UFA,2992,,0,738 Y7,13088,HTA,2935,UUD,2938,,0,AT5 Y7,13088,IAA,6121,KJA,4374,,0,AT5 Y7,13088,IKT,2937,KJA,4374,,0,AT5 Y7,13088,KHV,2927,KJA,4374,,0,738 733 Y7,13088,KHV,2927,VVO,2934,,0,738 733 Y7,13088,KJA,4374,AER,2965,,0,738 Y7,13088,KJA,4374,DME,4029,,0,738 Y7,13088,KJA,4374,DXB,2188,,0,738 Y7,13088,KJA,4374,DYU,2979,,0,738 Y7,13088,KJA,4374,EVN,3964,,0,738 Y7,13088,KJA,4374,GYD,2922,,0,738 Y7,13088,KJA,4374,IAA,6121,,0,AT5 Y7,13088,KJA,4374,IKT,2937,,0,AT5 Y7,13088,KJA,4374,KHV,2927,,0,738 733 Y7,13088,KJA,4374,KRR,2960,,0,738 Y7,13088,KJA,4374,LBD,6147,,0,733 738 Y7,13088,KJA,4374,LED,2948,,0,738 Y7,13088,KJA,4374,MJZ,2925,,0,AT5 Y7,13088,KJA,4374,NSK,4352,,0,738 AT5 Y7,13088,KJA,4374,OVB,4078,,0,AT5 Y7,13088,KJA,4374,PEK,3364,,0,738 Y7,13088,KJA,4374,TGP,\N,,0,AT5 Y7,13088,KJA,4374,THX,\N,,0,AT5 Y7,13088,KJA,4374,TOF,4297,,0,AT5 Y7,13088,KJA,4374,UUD,2938,,0,AT5 Y7,13088,KRR,2960,KJA,4374,,0,738 Y7,13088,KRR,2960,OVB,4078,,0,738 Y7,13088,KUF,2993,NSK,4352,,0,738 Y7,13088,KUF,2993,ROV,2964,,0,738 Y7,13088,LBD,6147,KJA,4374,,0,733 738 Y7,13088,LBD,6147,LED,2948,,0,738 Y7,13088,LED,2948,KJA,4374,,0,738 Y7,13088,LED,2948,LBD,6147,,0,738 Y7,13088,LED,2948,NSK,4352,,0,738 Y7,13088,MJZ,2925,KJA,4374,,0,AT5 Y7,13088,MRV,2962,SVX,2975,,0,738 Y7,13088,NSK,4352,ABA,2955,,0,738 Y7,13088,NSK,4352,AER,2965,,0,738 Y7,13088,NSK,4352,DME,4029,,0,738 Y7,13088,NSK,4352,GOJ,4274,,0,738 Y7,13088,NSK,4352,KJA,4374,,0,738 AT5 Y7,13088,NSK,4352,KUF,2993,,0,738 Y7,13088,NSK,4352,LED,2948,,0,738 Y7,13088,NSK,4352,OVB,4078,,0,738 Y7,13088,NSK,4352,SVX,2975,,0,738 Y7,13088,NSK,4352,UFA,2992,,0,738 Y7,13088,OVB,4078,KJA,4374,,0,AT5 Y7,13088,OVB,4078,KRR,2960,,0,738 Y7,13088,OVB,4078,NSK,4352,,0,738 Y7,13088,OVB,4078,SVX,2975,,0,AT5 Y7,13088,PEK,3364,KJA,4374,,0,738 Y7,13088,ROV,2964,KUF,2993,,0,738 Y7,13088,SGC,2974,TOF,4297,,0,AT5 Y7,13088,SVX,2975,MRV,2962,,0,738 Y7,13088,SVX,2975,NSK,4352,,0,738 Y7,13088,SVX,2975,OVB,4078,,0,AT5 Y7,13088,TGP,\N,KJA,4374,,0,AT5 Y7,13088,THX,\N,KJA,4374,,0,AT5 Y7,13088,TOF,4297,KJA,4374,,0,AT5 Y7,13088,TOF,4297,SGC,2974,,0,AT5 Y7,13088,UFA,2992,GYD,2922,,0,738 Y7,13088,UFA,2992,NSK,4352,,0,738 Y7,13088,UUD,2938,HTA,2935,,0,AT5 Y7,13088,UUD,2938,KJA,4374,,0,AT5 Y7,13088,VVO,2934,KHV,2927,,0,738 733 Y8,16725,BRA,7373,BSB,2531,,0,EM2 Y8,16725,BRA,7373,SSA,2621,,0,EM2 Y8,16725,BSB,2531,BRA,7373,,0,EM2 Y8,16725,BSB,2531,RAO,2613,,0,EM2 Y8,16725,BSB,2531,SJP,2619,,0,EM2 Y8,16725,CGB,2548,GYN,2562,,0,ER4 Y8,16725,CGB,2548,JPR,6073,,0,ER4 Y8,16725,CWB,2545,RAO,2613,,0,EM2 Y8,16725,GRU,2564,RAO,2613,,0,EM2 ER4 Y8,16725,GRU,2564,UDI,2633,,0,EM2 Y8,16725,GYN,2562,CGB,2548,,0,ER4 Y8,16725,GYN,2562,RAO,2613,,0,ER4 Y8,16725,GYN,2562,UDI,2633,,0,EM2 Y8,16725,JPR,6073,CGB,2548,,0,ER4 Y8,16725,PLU,2528,RAO,2613,,0,EM2 Y8,16725,RAO,2613,BSB,2531,,0,EM2 Y8,16725,RAO,2613,CWB,2545,,0,EM2 Y8,16725,RAO,2613,GRU,2564,,0,EM2 ER4 Y8,16725,RAO,2613,GYN,2562,,0,ER4 Y8,16725,RAO,2613,PLU,2528,,0,EM2 Y8,16725,RAO,2613,SDU,2612,,0,EM2 Y8,16725,RAO,2613,SJP,2619,,0,EM2 Y8,16725,SDU,2612,RAO,2613,,0,EM2 Y8,16725,SJP,2619,BSB,2531,,0,EM2 Y8,16725,SJP,2619,RAO,2613,,0,EM2 Y8,16725,SSA,2621,BRA,7373,,0,EM2 Y8,16725,SSA,2621,VDC,6039,,0,EM2 Y8,16725,UDI,2633,GRU,2564,,0,EM2 Y8,16725,UDI,2633,GYN,2562,,0,EM2 Y8,16725,VDC,6039,SSA,2621,,0,EM2 Y9,3148,AUH,2179,KIH,2109,,0,F50 Y9,3148,AWZ,2104,THR,2131,,0,TU3 M80 Y9,3148,BND,2134,KIH,2109,,0,M80 F50 Y9,3148,DXB,2188,GSM,5712,,0,F50 M80 Y9,3148,DXB,2188,KIH,2109,,0,M80 F50 Y9,3148,GSM,5712,DXB,2188,,0,F50 Y9,3148,IFN,2121,KIH,2109,,0,M80 Y9,3148,IFN,2121,MRX,2103,,0,TU3 M80 Y9,3148,KIH,2109,AUH,2179,,0,F50 Y9,3148,KIH,2109,BND,2134,,0,M80 F50 Y9,3148,KIH,2109,DXB,2188,,0,M80 F50 Y9,3148,KIH,2109,IFN,2121,,0,M80 Y9,3148,KIH,2109,THR,2131,,0,M80 TU3 Y9,3148,MHD,4331,KIH,2109,,0,M80 Y9,3148,MHD,4331,THR,2131,,0,M80 Y9,3148,MRX,2103,IFN,2121,,0,TU3 Y9,3148,MRX,2103,THR,2131,,0,M80 TU3 Y9,3148,TBZ,2162,THR,2131,,0,TU3 Y9,3148,THR,2131,AWZ,2104,,0,TU3 Y9,3148,THR,2131,KIH,2109,,0,M80 Y9,3148,THR,2131,MHD,4331,,0,M80 Y9,3148,THR,2131,MRX,2103,,0,M80 TU3 Y9,3148,THR,2131,TBZ,2162,,0,TU3 YC,9828,BAX,2956,DME,4029,,0,735 YC,9828,DME,4029,BAX,2956,,0,735 YC,9828,DME,4029,NOJ,4365,,0,735 YC,9828,DME,4029,NUX,4364,,0,320 YC,9828,DME,4029,NYM,6143,,0,735 YC,9828,DME,4029,SLY,6137,,0,735 320 YC,9828,DME,4029,TIV,1743,,0,320 321 YC,9828,DME,4029,TJM,4111,,0,CR2 735 YC,9828,DME,4029,UFA,2992,,0,CR2 YC,9828,EVN,3964,TJM,4111,,0,320 YC,9828,KGP,4373,SVX,2975,,0,CR2 YC,9828,KJA,4374,SVX,2975,,0,CR2 YC,9828,LED,2948,TJM,4111,,0,CR2 YC,9828,NJC,2972,OVB,4078,,0,CR2 YC,9828,NOJ,4365,DME,4029,,0,735 YC,9828,NOJ,4365,SLY,6137,,0,CR2 YC,9828,NOJ,4365,SVX,2975,,0,CR2 YC,9828,NOJ,4365,TJM,4111,,0,CR2 YC,9828,NOJ,4365,UFA,2992,,0,CR2 YC,9828,NUX,4364,DME,4029,,0,320 YC,9828,NUX,4364,SLY,6137,,0,CR2 YC,9828,NUX,4364,TJM,4111,,0,735 CR2 YC,9828,NUX,4364,UFA,2992,,0,CR2 YC,9828,NYA,6139,SVX,2975,,0,CR2 YC,9828,NYA,6139,TJM,4111,,0,CR2 YC,9828,NYM,6143,DME,4029,,0,735 YC,9828,NYM,6143,SLY,6137,,0,L4T YC,9828,NYM,6143,SVX,2975,,0,CR2 YC,9828,NYM,6143,TJM,4111,,0,735 CR2 YC,9828,NYM,6143,UFA,2992,,0,CR2 YC,9828,OVB,4078,NJC,2972,,0,CR2 YC,9828,OVB,4078,SVX,2975,,0,CR2 YC,9828,OVB,4078,TJM,4111,,0,CR2 YC,9828,SLY,6137,DME,4029,,0,320 735 YC,9828,SLY,6137,NOJ,4365,,0,CR2 YC,9828,SLY,6137,NUX,4364,,0,CR2 YC,9828,SLY,6137,NYM,6143,,0,L4T YC,9828,SLY,6137,SVX,2975,,0,CR2 YC,9828,SLY,6137,TJM,4111,,0,735 320 CR2 YC,9828,SLY,6137,TQL,11436,,0,L4T YC,9828,SVX,2975,KGP,4373,,0,CR2 YC,9828,SVX,2975,KJA,4374,,0,CR2 YC,9828,SVX,2975,NOJ,4365,,0,CR2 YC,9828,SVX,2975,NYA,6139,,0,CR2 YC,9828,SVX,2975,NYM,6143,,0,CR2 YC,9828,SVX,2975,OVB,4078,,0,CR2 YC,9828,SVX,2975,SLY,6137,,0,CR2 YC,9828,TIV,1743,DME,4029,,0,320 321 YC,9828,TJM,4111,DME,4029,,0,735 CR2 YC,9828,TJM,4111,EVN,3964,,0,320 YC,9828,TJM,4111,LED,2948,,0,CR2 YC,9828,TJM,4111,NOJ,4365,,0,CR2 YC,9828,TJM,4111,NUX,4364,,0,735 CR2 YC,9828,TJM,4111,NYA,6139,,0,CR2 YC,9828,TJM,4111,NYM,6143,,0,735 CR2 YC,9828,TJM,4111,OVB,4078,,0,CR2 YC,9828,TJM,4111,SLY,6137,,0,320 CR2 735 YC,9828,TQL,11436,SLY,6137,,0,L4T YC,9828,UFA,2992,DME,4029,,0,CR2 YC,9828,UFA,2992,NOJ,4365,,0,CR2 YC,9828,UFA,2992,NUX,4364,,0,CR2 YC,9828,UFA,2992,NYM,6143,,0,CR2 YI,16475,DOM,2877,EIS,2903,,0,CNT YI,16475,DOM,2877,SJU,2890,,0,CNT YI,16475,DOM,2877,STT,2883,,0,CNT YI,16475,DOM,2877,SXM,2899,,0,CNT YI,16475,EIS,2903,DOM,2877,,0,CNT YI,16475,EIS,2903,NEV,6079,,0,CNT YI,16475,EIS,2903,STT,2883,,0,CNT YI,16475,EIS,2903,SXM,2899,,0,CNT YI,16475,NEV,6079,SJU,2890,,0,CNT YI,16475,NEV,6079,STT,2883,,0,CNT YI,16475,SJU,2890,DOM,2877,,0,CNT YI,16475,SJU,2890,NEV,6079,,0,CNT YI,16475,SJU,2890,STT,2883,,0,CNT YI,16475,SJU,2890,SXM,2899,,0,CNT YI,16475,SJU,2890,VQS,6788,,0,CNT YI,16475,STT,2883,DOM,2877,,0,CNT YI,16475,STT,2883,EIS,2903,,0,CNT YI,16475,STT,2883,NEV,6079,,0,CNT YI,16475,STT,2883,SJU,2890,,0,CNT YI,16475,STT,2883,SXM,2899,,0,CNT YI,16475,STT,2883,VIJ,6080,,0,CNT YI,16475,SXM,2899,DOM,2877,,0,CNT YI,16475,SXM,2899,EIS,2903,,0,CNT YI,16475,SXM,2899,SJU,2890,,0,CNT YI,16475,SXM,2899,STT,2883,,0,CNT YI,16475,VIJ,6080,STT,2883,,0,CNT YI,16475,VQS,6788,SJU,2890,,0,CNT YJ,\N,HEH,3213,MDL,3222,,0,AT7 YJ,\N,HEH,3213,RGN,3239,,0,AT7 YJ,\N,MDL,3222,HEH,3213,,0,AT7 YJ,\N,MDL,3222,MYT,3224,,0,AT7 YJ,\N,MDL,3222,NYU,3209,,0,AT7 YJ,\N,MDL,3222,RGN,3239,,0,AT7 YJ,\N,MDL,3222,THL,3237,,0,AT7 YJ,\N,MYT,3224,MDL,3222,,0,AT7 YJ,\N,NYU,3209,MDL,3222,,0,AT7 YJ,\N,NYU,3209,RGN,3239,,0,AT7 YJ,\N,RGN,3239,HEH,3213,,0,AT7 YJ,\N,RGN,3239,MDL,3222,,0,AT7 YJ,\N,RGN,3239,NYU,3209,,0,AT7 YJ,\N,THL,3237,HEH,3213,,0,AT7 YK,1943,ALA,2908,FRU,2912,,0,146 YK,1943,DME,4029,FRU,2912,,0,737 YK,1943,DME,4029,OSS,2913,,0,737 YK,1943,DYU,2979,FRU,2912,,0,146 YK,1943,FRU,2912,ALA,2908,,0,146 YK,1943,FRU,2912,DME,4029,,0,737 YK,1943,FRU,2912,DYU,2979,,0,146 YK,1943,FRU,2912,KJA,4374,,0,146 YK,1943,FRU,2912,KZN,2990,,0,146 YK,1943,FRU,2912,LED,2948,,0,737 YK,1943,FRU,2912,OSS,2913,,0,146 YK,1943,FRU,2912,OVB,4078,,0,146 YK,1943,FRU,2912,SGC,2974,,0,737 YK,1943,FRU,2912,SVX,2975,,0,146 YK,1943,KJA,4374,FRU,2912,,0,146 YK,1943,KZN,2990,FRU,2912,,0,146 YK,1943,KZN,2990,OSS,2913,,0,146 YK,1943,LED,2948,FRU,2912,,0,737 YK,1943,LED,2948,OSS,2913,,0,737 YK,1943,OSS,2913,DME,4029,,0,737 YK,1943,OSS,2913,FRU,2912,,0,146 YK,1943,OSS,2913,IKT,2937,,0,737 YK,1943,OSS,2913,KJA,4374,,0,146 YK,1943,OSS,2913,KZN,2990,,0,146 YK,1943,OSS,2913,LED,2948,,0,737 YK,1943,OSS,2913,OVB,4078,,0,146 YK,1943,OSS,2913,SGC,2974,,0,737 YK,1943,OSS,2913,SVX,2975,,0,146 YK,1943,OVB,4078,FRU,2912,,0,146 YK,1943,OVB,4078,OSS,2913,,0,146 YK,1943,SGC,2974,FRU,2912,,0,737 YK,1943,SGC,2974,OSS,2913,,0,737 YK,1943,SVX,2975,FRU,2912,,0,146 YK,1943,SVX,2975,OSS,2913,,0,146 YM,3539,BEG,1739,TGD,1741,,0,100 YM,3539,BEG,1739,TIV,1743,,0,100 YM,3539,CDG,1382,TGD,1741,,0,100 YM,3539,CDG,1382,TIV,1743,,0,100 YM,3539,DME,4029,TGD,1741,,0,E95 YM,3539,DME,4029,TIV,1743,,0,E95 YM,3539,DUS,345,TGD,1741,,0,100 YM,3539,FCO,1555,TGD,1741,,0,E75 100 YM,3539,FRA,340,TGD,1741,,0,100 YM,3539,LGW,502,TIV,1743,,0,100 YM,3539,LJU,1569,TGD,1741,,0,100 YM,3539,TGD,1741,BEG,1739,,0,100 YM,3539,TGD,1741,CDG,1382,,0,100 YM,3539,TGD,1741,DME,4029,,0,E95 YM,3539,TGD,1741,DUS,345,,0,100 YM,3539,TGD,1741,FCO,1555,,0,E75 100 YM,3539,TGD,1741,FRA,340,,0,100 YM,3539,TGD,1741,LJU,1569,,0,100 YM,3539,TGD,1741,VIE,1613,,0,100 YM,3539,TGD,1741,ZRH,1678,,0,100 YM,3539,TIV,1743,BEG,1739,,0,100 YM,3539,TIV,1743,CDG,1382,,0,100 YM,3539,TIV,1743,DME,4029,,0,E95 YM,3539,TIV,1743,LGW,502,,0,100 YM,3539,VIE,1613,TGD,1741,,0,100 YM,3539,ZRH,1678,TGD,1741,,0,100 YN,\N,YAT,5482,YPO,5522,,0,DH1 YN,\N,YAT,5482,ZKE,5543,,0,DH1 YN,\N,YFA,5490,YMO,91,,0,DH1 YN,\N,YFA,5490,ZKE,5543,,0,DH1 YN,\N,YGW,5496,YKU,5472,,0,DH8 YN,\N,YKQ,5507,YKU,5472,,0,DH8 YN,\N,YKQ,5507,YMO,91,,0,BEC YN,\N,YKQ,5507,YMT,5514,,0,DH8 YN,\N,YKQ,5507,YNS,5501,,0,DH8 YN,\N,YKQ,5507,YVO,153,,0,DH8 YN,\N,YKQ,5507,ZEM,5539,,0,DH8 YN,\N,YKU,5472,YGW,5496,,0,DH8 YN,\N,YKU,5472,YKQ,5507,,0,DH8 YN,\N,YKU,5472,YNC,5516,,0,DH8 YN,\N,YKU,5472,YVO,153,,0,BET YN,\N,YMO,91,YFA,5490,,0,DH1 YN,\N,YMO,91,YKQ,5507,,0,BEC YN,\N,YMO,91,YTS,143,,0,BEC DH1 EMB YN,\N,YMT,5514,YKQ,5507,,0,DH8 YN,\N,YMT,5514,YNS,5501,,0,DH8 YN,\N,YMT,5514,YUL,146,,0,DH8 YN,\N,YNC,5516,YKU,5472,,0,DH8 YN,\N,YNC,5516,ZEM,5539,,0,DH8 YN,\N,YNS,5501,YKQ,5507,,0,DH8 YN,\N,YNS,5501,YMT,5514,,0,DH8 YN,\N,YPO,5522,YAT,5482,,0,DH1 YN,\N,YTS,143,YMO,91,,0,DH1 BEC YN,\N,YUL,146,YMT,5514,,0,DH8 YN,\N,YUL,146,YVO,153,,0,DH8 YN,\N,YVO,153,YKQ,5507,,0,DH8 YN,\N,YVO,153,YKU,5472,,0,BET YN,\N,YVO,153,YUL,146,,0,DH8 YN,\N,ZEM,5539,YKQ,5507,,0,DH8 YN,\N,ZEM,5539,YNC,5516,,0,DH8 YN,\N,ZKE,5543,YAT,5482,,0,DH1 YN,\N,ZKE,5543,YFA,5490,,0,DH1 YO,16150,HME,238,LGW,502,Y,0,320 YO,16150,LGW,502,HME,238,Y,0,320 YO,16150,MCM,4264,NCE,1354,,0,NDE YO,16150,NCE,1354,MCM,4264,,0,NDE YQ,16882,DME,4029,EGO,6156,,0,SFB YQ,16882,DME,4029,VOZ,2987,,0,S20 YQ,16882,EGO,6156,DME,4029,,0,SFB YQ,16882,EGO,6156,LED,2948,,0,S20 YQ,16882,EVN,3964,VOZ,2987,,0,S20 YQ,16882,LED,2948,EGO,6156,,0,S20 YQ,16882,LED,2948,VNO,3959,,0,S20 YQ,16882,LED,2948,VOZ,2987,,0,S20 YQ,16882,MUC,346,VOZ,2987,,0,S20 YQ,16882,VNO,3959,LED,2948,,0,S20 YQ,16882,VOZ,2987,DME,4029,,0,S20 YQ,16882,VOZ,2987,EVN,3964,,0,S20 YQ,16882,VOZ,2987,LED,2948,,0,S20 YQ,16882,VOZ,2987,MUC,346,,0,S20 YR,17519,GCN,4219,PGA,4124,,0,CNA YR,17519,PGA,4124,GCN,4219,,0,CNA YT,16133,BDP,6180,KTM,3125,,0,J41 YT,16133,BHR,6179,KTM,3125,,0,J41 YT,16133,BIR,3129,KTM,3125,,0,J41 YT,16133,BWA,3122,KTM,3125,,0,J41 YT,16133,DHI,4188,KTM,3125,,0,J41 YT,16133,JKR,\N,KTM,3125,,0,J41 YT,16133,KEP,6182,KTM,3125,,0,J41 YT,16133,KTM,3125,BDP,6180,,0,J41 YT,16133,KTM,3125,BHR,6179,,0,J41 YT,16133,KTM,3125,BIR,3129,,0,J41 YT,16133,KTM,3125,BWA,3122,,0,J41 YT,16133,KTM,3125,DHI,4188,,0,J41 YT,16133,KTM,3125,JKR,\N,,0,J41 YT,16133,KTM,3125,KEP,6182,,0,J41 YT,16133,KTM,3125,PKR,3127,,0,J41 YT,16133,KTM,3125,TMI,4183,,0,J41 YT,16133,PKR,3127,KTM,3125,,0,J41 YT,16133,TMI,4183,KTM,3125,,0,J41 Z2,9764,BKI,3269,MNL,2397,,0,320 Z2,9764,CEB,4206,ICN,3930,,0,320 Z2,9764,CEB,4206,KUL,3304,,0,320 Z2,9764,CEB,4206,MNL,2397,,0,319 320 Z2,9764,ICN,3930,CEB,4206,,0,320 Z2,9764,ICN,3930,KLO,2430,,0,320 Z2,9764,ICN,3930,MNL,2397,,0,320 Z2,9764,KLO,2430,ICN,3930,,0,320 Z2,9764,KLO,2430,MNL,2397,,0,320 319 Z2,9764,KLO,2430,PUS,2372,,0,320 Z2,9764,KLO,2430,TPE,2276,,0,320 Z2,9764,KUL,3304,CEB,4206,,0,320 Z2,9764,KUL,3304,MNL,2397,,0,320 Z2,9764,MFM,3121,MNL,2397,,0,320 Z2,9764,MNL,2397,BKI,3269,,0,320 Z2,9764,MNL,2397,CEB,4206,,0,319 320 Z2,9764,MNL,2397,ICN,3930,,0,320 Z2,9764,MNL,2397,KLO,2430,,0,320 319 Z2,9764,MNL,2397,KUL,3304,,0,320 Z2,9764,MNL,2397,MFM,3121,,0,320 Z2,9764,MNL,2397,MYY,3266,,0,320 Z2,9764,MNL,2397,PPS,2433,,0,320 319 Z2,9764,MNL,2397,PVG,3406,,0,320 Z2,9764,MNL,2397,TAC,2422,,0,320 Z2,9764,MNL,2397,TAG,3994,,0,320 319 Z2,9764,MYY,3266,MNL,2397,,0,320 Z2,9764,PPS,2433,MNL,2397,,0,320 319 Z2,9764,PUS,2372,KLO,2430,,0,320 Z2,9764,PVG,3406,MNL,2397,,0,320 Z2,9764,TAC,2422,MNL,2397,,0,320 Z2,9764,TAG,3994,MNL,2397,,0,320 319 Z2,9764,TPE,2276,KLO,2430,,0,320 Z3,1266,CGA,7144,KLW,7205,,0,DHP Z3,1266,CGA,7144,KTN,3808,,0,DHP Z3,1266,HYL,7145,KTB,7147,,0,DHP Z3,1266,HYL,7145,KTN,3808,,0,DHP Z3,1266,KLW,7205,CGA,7144,,0,DHP Z3,1266,KTB,7147,HYL,7145,,0,DHP Z3,1266,KTN,3808,CGA,7144,,0,DHP Z3,1266,KTN,3808,HYL,7145,,0,DHP Z3,1266,KTN,3808,KWF,\N,,0,DHP Z3,1266,KTN,3808,MTM,7146,,0,DHP Z3,1266,KWF,\N,KTN,3808,,0,DHP Z3,1266,MTM,7146,KTN,3808,,0,DHP Z4,5523,ADA,1685,EBL,3989,,0,321 Z4,5523,AMM,2170,EBL,3989,,0,321 Z4,5523,ARN,737,EBL,3989,,0,321 Z4,5523,BEY,2177,EBL,3989,,0,321 Z4,5523,EBL,3989,ADA,1685,,0,321 Z4,5523,EBL,3989,AMM,2170,,0,321 Z4,5523,EBL,3989,ARN,737,,0,321 Z4,5523,EBL,3989,BEY,2177,,0,321 Z4,5523,EBL,3989,ESB,1682,,0,321 Z4,5523,ESB,1682,EBL,3989,,0,321 Z6,16120,BUS,3971,DNK,2941,Y,0,ER4 Z6,16120,DME,4029,DNK,2941,Y,0,ER4 Z6,16120,DME,4029,UKS,7863,Y,0,ER4 Z6,16120,DNK,2941,BUS,3971,Y,0,ER4 Z6,16120,DNK,2941,DME,4029,Y,0,ER4 Z6,16120,DNK,2941,EVN,3964,Y,0,ER4 Z6,16120,DNK,2941,IST,1701,Y,0,ER4 Z6,16120,DNK,2941,KBP,2939,Y,0,737 ER4 Z6,16120,DNK,2941,TBS,3973,Y,0,ER4 Z6,16120,DNK,2941,VIE,1613,Y,0,ER4 Z6,16120,EVN,3964,DNK,2941,Y,0,ER4 Z6,16120,IFO,6106,KBP,2939,Y,0,ER4 Z6,16120,IST,1701,DNK,2941,Y,0,ER4 Z6,16120,KBP,2939,DNK,2941,Y,0,ER4 737 Z6,16120,KBP,2939,IFO,6106,Y,0,ER4 Z6,16120,KBP,2939,UKS,7863,Y,0,ER4 Z6,16120,TBS,3973,DNK,2941,Y,0,ER4 Z6,16120,UKS,7863,DME,4029,Y,0,ER4 Z6,16120,UKS,7863,KBP,2939,Y,0,ER4 Z6,16120,VIE,1613,DNK,2941,Y,0,ER4 Z8,603,AQP,2802,LPB,2762,,0,CRJ Z8,603,ASU,2699,VVI,2771,,0,CRJ Z8,603,BYC,2772,SRZ,4247,,0,SWM Z8,603,BYC,2772,TJA,2768,,0,SWM Z8,603,CBB,2759,LPB,2762,,0,CRJ Z8,603,CBB,2759,VVI,2771,,0,CRJ Z8,603,CUZ,2812,LPB,2762,,0,CRJ Z8,603,LPB,2762,AQP,2802,,0,CRJ Z8,603,LPB,2762,CBB,2759,,0,CRJ Z8,603,LPB,2762,CUZ,2812,,0,CRJ Z8,603,LPB,2762,POI,2764,,0,SWM Z8,603,LPB,2762,RBQ,7317,,0,SWM CRJ Z8,603,LPB,2762,SRE,2767,,0,CRJ Z8,603,LPB,2762,TJA,2768,,0,CRJ Z8,603,LPB,2762,UYU,7313,,0,CRJ Z8,603,LPB,2762,VVI,2771,,0,CRJ Z8,603,ORU,\N,CBB,2759,,0,SWM Z8,603,ORU,\N,SRZ,4247,,0,SWM Z8,603,POI,2764,LPB,2762,,0,SWM Z8,603,RBQ,7317,LPB,2762,,0,SWM CRJ Z8,603,RBQ,7317,TDD,2769,,0,SWM Z8,603,SRE,2767,LPB,2762,,0,CRJ Z8,603,SRE,2767,TJA,2768,,0,CRJ Z8,603,SRE,2767,VVI,2771,,0,CRJ Z8,603,SRZ,4247,BYC,2772,,0,SWM Z8,603,SRZ,4247,ORU,\N,,0,SWM Z8,603,SRZ,4247,TDD,2769,,0,SWM Z8,603,TDD,2769,RBQ,7317,,0,SWM Z8,603,TDD,2769,SRZ,4247,,0,SWM Z8,603,TJA,2768,BYC,2772,,0,SWM Z8,603,TJA,2768,LPB,2762,,0,CRJ Z8,603,TJA,2768,SRE,2767,,0,CRJ Z8,603,TJA,2768,VVI,2771,,0,CRJ Z8,603,UYU,7313,LPB,2762,,0,CRJ Z8,603,VVI,2771,ASU,2699,,0,CRJ Z8,603,VVI,2771,CBB,2759,,0,CRJ Z8,603,VVI,2771,LPB,2762,,0,CRJ Z8,603,VVI,2771,SRE,2767,,0,CRJ Z8,603,VVI,2771,TJA,2768,,0,CRJ Z9,18825,ALA,2908,GUW,4357,,0,100 Z9,18825,ALA,2908,TSE,2910,,0,100 Z9,18825,GUW,4357,ALA,2908,,0,100 Z9,18825,GUW,4357,URA,2916,,0,100 Z9,18825,TSE,2910,ALA,2908,,0,100 Z9,18825,TSE,2910,URA,2916,,0,100 Z9,18825,URA,2916,GUW,4357,,0,100 Z9,18825,URA,2916,TSE,2910,,0,100 ZB,220,ACE,1055,BHX,469,,0,321 320 ZB,220,ACE,1055,EMA,523,,0,321 ZB,220,ACE,1055,LBA,517,,0,320 ZB,220,ACE,1055,LGW,502,,0,321 ZB,220,ACE,1055,LTN,492,,0,321 320 ZB,220,ACE,1055,MAN,478,,0,321 320 ZB,220,AGA,1064,MAN,478,,0,320 ZB,220,AGP,1230,BHX,469,,0,321 ZB,220,AGP,1230,EMA,523,,0,321 ZB,220,AGP,1230,LGW,502,,0,321 752 ZB,220,AGP,1230,LTN,492,,0,321 320 ZB,220,AGP,1230,MAN,478,,0,321 320 ZB,220,ALC,1212,BHX,469,,0,321 320 ZB,220,ALC,1212,EMA,523,,0,321 ZB,220,ALC,1212,LGW,502,,0,321 752 ZB,220,ALC,1212,LTN,492,,0,321 320 ZB,220,ALC,1212,MAN,478,,0,321 320 ZB,220,AYT,1688,LBA,517,,0,320 ZB,220,AYT,1688,LGW,502,,0,321 ZB,220,AYT,1688,LTN,492,,0,320 ZB,220,AYT,1688,MAN,478,,0,321 320 ZB,220,BCN,1218,BHX,469,,0,320 321 ZB,220,BCN,1218,LBA,517,,0,320 ZB,220,BCN,1218,LGW,502,,0,321 752 ZB,220,BCN,1218,MAN,478,,0,321 ZB,220,BHX,469,ACE,1055,,0,321 320 ZB,220,BHX,469,AGP,1230,,0,321 ZB,220,BHX,469,ALC,1212,,0,321 320 ZB,220,BHX,469,BCN,1218,,0,320 321 ZB,220,BHX,469,BJV,4315,,0,321 ZB,220,BHX,469,DBV,1200,,0,321 320 ZB,220,BHX,469,DLM,1715,,0,321 320 ZB,220,BHX,469,FAO,1626,,0,321 ZB,220,BHX,469,FCO,1555,,0,321 320 ZB,220,BHX,469,FNC,4091,,0,320 321 ZB,220,BHX,469,FUE,1051,,0,321 ZB,220,BHX,469,GIB,1738,,0,320 ZB,220,BHX,469,HER,1452,,0,321 320 ZB,220,BHX,469,HRG,1130,,0,321 ZB,220,BHX,469,LCA,1197,,0,320 321 ZB,220,BHX,469,LEI,1213,,0,321 ZB,220,BHX,469,LPA,1054,,0,321 ZB,220,BHX,469,MAH,1231,,0,321 ZB,220,BHX,469,NCE,1354,,0,320 321 ZB,220,BHX,469,PFO,1198,,0,321 ZB,220,BHX,469,PMI,3998,,0,320 321 ZB,220,BHX,469,SPU,1206,,0,320 ZB,220,BHX,469,SSH,4057,,0,321 ZB,220,BHX,469,TFS,1056,,0,321 320 ZB,220,BHX,469,VCE,1551,,0,320 321 ZB,220,BJV,4315,BHX,469,,0,321 ZB,220,BJV,4315,LBA,517,,0,320 ZB,220,BJV,4315,LGW,502,,0,321 ZB,220,BJV,4315,LTN,492,,0,321 320 ZB,220,BJV,4315,MAN,478,,0,321 ZB,220,DBV,1200,BHX,469,,0,321 320 ZB,220,DBV,1200,LGW,502,,0,321 752 ZB,220,DBV,1200,MAN,478,,0,321 320 ZB,220,DLM,1715,BHX,469,,0,321 320 ZB,220,DLM,1715,LBA,517,,0,320 ZB,220,DLM,1715,LGW,502,,0,321 752 ZB,220,DLM,1715,LTN,492,,0,321 320 ZB,220,DLM,1715,MAN,478,,0,752 320 321 ZB,220,EMA,523,ACE,1055,,0,321 ZB,220,EMA,523,AGP,1230,,0,321 ZB,220,EMA,523,ALC,1212,,0,321 ZB,220,EMA,523,FAO,1626,,0,321 ZB,220,EMA,523,MLA,1606,,0,321 ZB,220,EMA,523,PMI,3998,,0,321 ZB,220,EMA,523,TFS,1056,,0,321 ZB,220,FAO,1626,BHX,469,,0,321 ZB,220,FAO,1626,EMA,523,,0,321 ZB,220,FAO,1626,LBA,517,,0,320 ZB,220,FAO,1626,LGW,502,,0,752 321 332 ZB,220,FAO,1626,LTN,492,,0,320 321 ZB,220,FAO,1626,MAN,478,,0,321 752 320 ZB,220,FCO,1555,BHX,469,,0,321 320 ZB,220,FCO,1555,LTN,492,,0,320 ZB,220,FNC,4091,BHX,469,,0,320 321 ZB,220,FNC,4091,LGW,502,,0,321 ZB,220,FUE,1051,BHX,469,,0,321 ZB,220,FUE,1051,MAN,478,,0,321 ZB,220,GIB,1738,BHX,469,,0,320 ZB,220,GIB,1738,LTN,492,,0,320 ZB,220,GIB,1738,MAN,478,,0,320 ZB,220,HER,1452,BHX,469,,0,321 320 ZB,220,HER,1452,LBA,517,,0,320 ZB,220,HER,1452,LGW,502,,0,321 ZB,220,HRG,1130,BHX,469,,0,321 ZB,220,HRG,1130,LGW,502,,0,321 ZB,220,HRG,1130,MAN,478,,0,321 ZB,220,LBA,517,ACE,1055,,0,320 ZB,220,LBA,517,AYT,1688,,0,320 ZB,220,LBA,517,BCN,1218,,0,320 ZB,220,LBA,517,BJV,4315,,0,320 ZB,220,LBA,517,DLM,1715,,0,320 ZB,220,LBA,517,FAO,1626,,0,320 ZB,220,LBA,517,HER,1452,,0,320 ZB,220,LBA,517,LCA,1197,,0,320 ZB,220,LBA,517,MAH,1231,,0,320 ZB,220,LBA,517,PMI,3998,,0,320 ZB,220,LBA,517,TFS,1056,,0,320 ZB,220,LCA,1197,BHX,469,,0,320 321 ZB,220,LCA,1197,LBA,517,,0,320 ZB,220,LCA,1197,LGW,502,,0,321 ZB,220,LCA,1197,LTN,492,,0,320 ZB,220,LCA,1197,MAN,478,,0,321 ZB,220,LEI,1213,BHX,469,,0,321 ZB,220,LEI,1213,MAN,478,,0,321 ZB,220,LGW,502,ACE,1055,,0,321 ZB,220,LGW,502,AGP,1230,,0,321 752 ZB,220,LGW,502,ALC,1212,,0,321 752 ZB,220,LGW,502,AYT,1688,,0,321 ZB,220,LGW,502,BCN,1218,,0,321 752 ZB,220,LGW,502,BJV,4315,,0,321 ZB,220,LGW,502,DBV,1200,,0,321 752 ZB,220,LGW,502,DLM,1715,,0,321 752 ZB,220,LGW,502,FAO,1626,,0,752 321 332 ZB,220,LGW,502,FNC,4091,,0,321 ZB,220,LGW,502,HER,1452,,0,321 ZB,220,LGW,502,HRG,1130,,0,321 ZB,220,LGW,502,LCA,1197,,0,321 ZB,220,LGW,502,MAH,1231,,0,321 ZB,220,LGW,502,NBE,7447,,0,321 ZB,220,LGW,502,NCE,1354,,0,321 ZB,220,LGW,502,PFO,1198,,0,321 ZB,220,LGW,502,PMI,3998,,0,321 752 ZB,220,LGW,502,SSH,4057,,0,332 321 ZB,220,LGW,502,TFS,1056,,0,321 752 332 ZB,220,LGW,502,VCE,1551,,0,321 ZB,220,LGW,502,VRN,1550,,0,321 ZB,220,LPA,1054,BHX,469,,0,321 ZB,220,LPA,1054,MAN,478,,0,321 320 ZB,220,LTN,492,ACE,1055,,0,321 320 ZB,220,LTN,492,AGP,1230,,0,321 320 ZB,220,LTN,492,ALC,1212,,0,321 320 ZB,220,LTN,492,AYT,1688,,0,320 ZB,220,LTN,492,BJV,4315,,0,321 320 ZB,220,LTN,492,DLM,1715,,0,321 320 ZB,220,LTN,492,FAO,1626,,0,320 321 ZB,220,LTN,492,FCO,1555,,0,320 ZB,220,LTN,492,GIB,1738,,0,320 ZB,220,LTN,492,LCA,1197,,0,320 ZB,220,LTN,492,MAH,1231,,0,321 ZB,220,LTN,492,NAP,1561,,0,320 ZB,220,LTN,492,PMI,3998,,0,321 320 ZB,220,LTN,492,SSH,4057,,0,321 ZB,220,LTN,492,TFS,1056,,0,321 320 ZB,220,MAH,1231,BHX,469,,0,321 ZB,220,MAH,1231,LBA,517,,0,320 ZB,220,MAH,1231,LGW,502,,0,321 ZB,220,MAH,1231,LTN,492,,0,321 ZB,220,MAH,1231,MAN,478,,0,321 ZB,220,MAN,478,ACE,1055,,0,321 320 ZB,220,MAN,478,AGA,1064,,0,320 ZB,220,MAN,478,AGP,1230,,0,321 320 ZB,220,MAN,478,ALC,1212,,0,321 320 ZB,220,MAN,478,AYT,1688,,0,321 320 ZB,220,MAN,478,BCN,1218,,0,321 ZB,220,MAN,478,BJV,4315,,0,321 ZB,220,MAN,478,DBV,1200,,0,321 320 ZB,220,MAN,478,DLM,1715,,0,752 320 321 ZB,220,MAN,478,FAO,1626,,0,321 752 320 ZB,220,MAN,478,FUE,1051,,0,321 ZB,220,MAN,478,GIB,1738,,0,320 ZB,220,MAN,478,HRG,1130,,0,321 ZB,220,MAN,478,LCA,1197,,0,321 ZB,220,MAN,478,LEI,1213,,0,321 ZB,220,MAN,478,LPA,1054,,0,321 320 ZB,220,MAN,478,MAH,1231,,0,321 ZB,220,MAN,478,NAP,1561,,0,320 ZB,220,MAN,478,NBE,7447,,0,320 321 ZB,220,MAN,478,PFO,1198,,0,321 ZB,220,MAN,478,PMI,3998,,0,321 320 332 752 ZB,220,MAN,478,SSH,4057,,0,321 332 ZB,220,MAN,478,TFS,1056,,0,321 332 320 ZB,220,MAN,478,VCE,1551,,0,320 321 ZB,220,MAN,478,VRN,1550,,0,321 752 ZB,220,MLA,1606,EMA,523,,0,321 ZB,220,NAP,1561,LTN,492,,0,320 ZB,220,NAP,1561,MAN,478,,0,320 ZB,220,NBE,7447,LGW,502,,0,321 ZB,220,NBE,7447,MAN,478,,0,320 321 ZB,220,NCE,1354,BHX,469,,0,320 321 ZB,220,NCE,1354,LGW,502,,0,321 ZB,220,PFO,1198,BHX,469,,0,321 ZB,220,PFO,1198,LGW,502,,0,321 ZB,220,PFO,1198,MAN,478,,0,321 ZB,220,PMI,3998,BHX,469,,0,320 321 ZB,220,PMI,3998,EMA,523,,0,321 ZB,220,PMI,3998,LBA,517,,0,320 ZB,220,PMI,3998,LGW,502,,0,321 752 ZB,220,PMI,3998,LTN,492,,0,321 320 ZB,220,PMI,3998,MAN,478,,0,321 320 332 752 ZB,220,SPU,1206,BHX,469,,0,320 ZB,220,SSH,4057,BHX,469,,0,321 ZB,220,SSH,4057,LGW,502,,0,332 321 ZB,220,SSH,4057,LTN,492,,0,321 ZB,220,SSH,4057,MAN,478,,0,321 332 ZB,220,TFS,1056,BHX,469,,0,321 320 ZB,220,TFS,1056,EMA,523,,0,321 ZB,220,TFS,1056,LBA,517,,0,320 ZB,220,TFS,1056,LGW,502,,0,321 752 332 ZB,220,TFS,1056,LTN,492,,0,321 320 ZB,220,TFS,1056,MAN,478,,0,321 332 320 ZB,220,VCE,1551,BHX,469,,0,320 321 ZB,220,VCE,1551,LGW,502,,0,321 ZB,220,VCE,1551,MAN,478,,0,320 321 ZB,220,VRN,1550,LGW,502,,0,321 ZB,220,VRN,1550,MAN,478,,0,321 752 ZD,\N,DAR,1177,DZA,915,,0,AT7 ZD,\N,DZA,915,DAR,1177,,0,AT7 ZD,\N,DZA,915,HAH,912,,0,AT7 ZD,\N,DZA,915,MJN,929,,0,AT7 ZD,\N,DZA,915,NOS,930,,0,AT7 ZD,\N,HAH,912,DZA,915,,0,AT7 ZD,\N,MJN,929,DZA,915,,0,AT7 ZD,\N,NOS,930,DZA,915,,0,AT7 ZE,9809,BKI,3269,ICN,3930,,0,738 ZE,9809,BKK,3885,ICN,3930,,0,738 ZE,9809,CJJ,6008,CJU,2370,,0,737 ZE,9809,CJJ,6008,SHE,4144,,0,738 ZE,9809,CJU,2370,CJJ,6008,,0,737 ZE,9809,CJU,2370,GMP,2378,,0,737 ZE,9809,CJU,2370,KUV,6003,,0,737 ZE,9809,GMP,2378,CJU,2370,,0,737 ZE,9809,GMP,2378,TSA,2275,,0,738 ZE,9809,HKG,3077,ICN,3930,,0,738 ZE,9809,ICN,3930,BKI,3269,,0,738 ZE,9809,ICN,3930,BKK,3885,,0,738 ZE,9809,ICN,3930,HKG,3077,,0,738 ZE,9809,ICN,3930,KIX,3992,,0,738 ZE,9809,ICN,3930,NRT,2279,,0,738 ZE,9809,ICN,3930,TNA,4108,,0,738 ZE,9809,KIX,3992,ICN,3930,,0,738 ZE,9809,KUV,6003,CJU,2370,,0,737 ZE,9809,NRT,2279,ICN,3930,,0,738 ZE,9809,SHE,4144,CJJ,6008,,0,738 ZE,9809,TNA,4108,ICN,3930,,0,738 ZE,9809,TSA,2275,GMP,2378,,0,738 ZH,4611,ADD,1107,CAN,3370,Y,0,737 ZH,4611,AKU,6404,CTU,3395,Y,0,320 ZH,4611,BAV,6346,CAN,3370,,0,320 ZH,4611,BAV,6346,PEK,3364,Y,0,737 ZH,4611,BHY,6351,HGH,3386,Y,0,319 ZH,4611,BHY,6351,PEK,3364,Y,0,737 ZH,4611,BKK,3885,SZX,3374,,0,738 ZH,4611,BPX,6396,CTU,3395,Y,0,319 ZH,4611,CAN,3370,ADD,1107,Y,0,737 ZH,4611,CAN,3370,BAV,6346,,0,320 ZH,4611,CAN,3370,CGO,3375,,0,320 ZH,4611,CAN,3370,CGQ,4380,,0,738 ZH,4611,CAN,3370,CKG,3393,Y,0,737 ZH,4611,CAN,3370,CTU,3395,,0,738 320 ZH,4611,CAN,3370,CZX,4109,,0,320 ZH,4611,CAN,3370,DAX,6397,Y,0,737 ZH,4611,CAN,3370,GYS,6398,Y,0,737 ZH,4611,CAN,3370,HAK,4120,,0,738 320 ZH,4611,CAN,3370,HET,6345,,0,320 ZH,4611,CAN,3370,HFE,3389,,0,738 ZH,4611,CAN,3370,HGH,3386,Y,0,737 320 ZH,4611,CAN,3370,HRB,3400,,0,320 ZH,4611,CAN,3370,HYN,6384,,0,320 ZH,4611,CAN,3370,JDZ,6380,,0,320 ZH,4611,CAN,3370,JJN,6386,,0,320 ZH,4611,CAN,3370,JZH,4301,Y,0,319 ZH,4611,CAN,3370,KHN,3384,,0,320 ZH,4611,CAN,3370,KMG,3382,,0,738 320 ZH,4611,CAN,3370,KWE,3394,,0,738 320 ZH,4611,CAN,3370,LYI,6385,,0,320 ZH,4611,CAN,3370,LZO,6399,Y,0,737 ZH,4611,CAN,3370,NKG,3388,,0,320 738 ZH,4611,CAN,3370,NNG,3373,,0,738 ZH,4611,CAN,3370,NRT,2279,Y,0,763 ZH,4611,CAN,3370,NTG,5475,,0,320 ZH,4611,CAN,3370,PEK,3364,Y,0,330 777 320 737 747 ZH,4611,CAN,3370,PVG,3406,Y,0,340 330 320 ZH,4611,CAN,3370,SHA,3391,Y,0,737 ZH,4611,CAN,3370,SHE,4144,,0,320 ZH,4611,CAN,3370,TNA,4108,,0,738 ZH,4611,CAN,3370,TSN,3368,Y,0,737 ZH,4611,CAN,3370,WNZ,6392,,0,738 320 ZH,4611,CAN,3370,WUH,3376,,0,738 320 737 ZH,4611,CAN,3370,WUX,6390,,0,738 ZH,4611,CAN,3370,WXN,6403,Y,0,737 ZH,4611,CAN,3370,XIY,3379,,0,738 320 ZH,4611,CAN,3370,XMN,3383,,0,320 ZH,4611,CAN,3370,YBP,4110,Y,0,737 ZH,4611,CAN,3370,YCU,6430,Y,0,737 ZH,4611,CGO,3375,CAN,3370,,0,320 ZH,4611,CGO,3375,CKG,3393,,0,738 ZH,4611,CGO,3375,CTU,3395,Y,0,320 ZH,4611,CGO,3375,DLC,3404,,0,738 ZH,4611,CGO,3375,HAK,4120,,0,320 ZH,4611,CGO,3375,HGH,3386,Y,0,319 ZH,4611,CGO,3375,HRB,3400,,0,320 ZH,4611,CGO,3375,KMG,3382,,0,320 738 ZH,4611,CGO,3375,KWE,3394,,0,738 ZH,4611,CGO,3375,NNG,3373,,0,320 738 ZH,4611,CGO,3375,PEK,3364,Y,0,737 ZH,4611,CGO,3375,SHE,4144,,0,738 320 ZH,4611,CGO,3375,SZX,3374,,0,320 738 ZH,4611,CGO,3375,URC,3399,,0,320 ZH,4611,CGO,3375,XNN,6366,Y,0,319 ZH,4611,CGQ,4380,CAN,3370,,0,738 ZH,4611,CGQ,4380,CTU,3395,Y,0,320 ZH,4611,CGQ,4380,INC,4085,Y,0,737 ZH,4611,CGQ,4380,NKG,3388,,0,320 738 ZH,4611,CGQ,4380,PEK,3364,Y,0,737 330 320 ZH,4611,CGQ,4380,SZX,3374,,0,320 738 ZH,4611,CGQ,4380,TAO,3390,Y,0,319 ZH,4611,CGQ,4380,WUH,3376,,0,738 ZH,4611,CGQ,4380,YNT,3392,,0,320 CRJ ZH,4611,CHG,6772,PEK,3364,Y,0,737 ZH,4611,CIF,6342,PEK,3364,Y,0,737 ZH,4611,CIH,6343,CTU,3395,Y,0,319 ZH,4611,CKG,3393,CAN,3370,Y,0,737 ZH,4611,CKG,3393,CGO,3375,,0,738 ZH,4611,CKG,3393,HGH,3386,Y,0,319 320 737 ZH,4611,CKG,3393,HYN,6384,Y,0,738 ZH,4611,CKG,3393,INC,4085,Y,0,737 ZH,4611,CKG,3393,JZH,4301,Y,0,737 ZH,4611,CKG,3393,KMG,3382,Y,0,737 738 ZH,4611,CKG,3393,LJG,4033,Y,0,737 ZH,4611,CKG,3393,LXA,4097,Y,0,319 ZH,4611,CKG,3393,NKG,3388,,0,738 ZH,4611,CKG,3393,NTG,5475,,0,738 ZH,4611,CKG,3393,PEK,3364,Y,0,737 330 320 ZH,4611,CKG,3393,PVG,3406,,0,737 ZH,4611,CKG,3393,SHA,3391,Y,0,737 ZH,4611,CKG,3393,SZX,3374,,0,738 739 ZH,4611,CKG,3393,TSN,3368,Y,0,737 ZH,4611,CKG,3393,URC,3399,Y,0,737 ZH,4611,CKG,3393,WNZ,6392,Y,0,319 ZH,4611,CKG,3393,WUX,6390,,0,738 ZH,4611,CKG,3393,XIY,3379,Y,0,737 ZH,4611,CKG,3393,XMN,3383,Y,0,737 ZH,4611,CKG,3393,YTY,8876,Y,0,737 ZH,4611,CKG,3393,ZUH,6355,Y,0,737 ZH,4611,CSX,3371,CTU,3395,Y,0,320 319 ZH,4611,CSX,3371,FOC,3385,,0,320 ZH,4611,CSX,3371,HYN,6384,Y,0,738 ZH,4611,CSX,3371,JJN,6386,,0,320 ZH,4611,CSX,3371,KMG,3382,,0,738 320 ZH,4611,CSX,3371,KWE,3394,,0,738 ZH,4611,CSX,3371,LHW,3378,,0,319 ZH,4611,CSX,3371,NKG,3388,,0,738 ZH,4611,CSX,3371,NNG,3373,,0,738 ZH,4611,CSX,3371,PEK,3364,Y,0,320 737 ZH,4611,CSX,3371,SZX,3374,,0,319 ZH,4611,CSX,3371,TAO,3390,,0,738 ZH,4611,CSX,3371,TSN,3368,Y,0,737 ZH,4611,CSX,3371,WUX,6390,,0,738 ZH,4611,CSX,3371,XIY,3379,,0,320 ZH,4611,CTU,3395,AKU,6404,Y,0,320 ZH,4611,CTU,3395,BPX,6396,Y,0,319 ZH,4611,CTU,3395,CAN,3370,,0,320 738 ZH,4611,CTU,3395,CGO,3375,Y,0,320 ZH,4611,CTU,3395,CGQ,4380,Y,0,320 ZH,4611,CTU,3395,CIH,6343,Y,0,319 ZH,4611,CTU,3395,CSX,3371,Y,0,320 319 ZH,4611,CTU,3395,CZX,4109,Y,0,320 ZH,4611,CTU,3395,DCY,9310,Y,0,319 ZH,4611,CTU,3395,FOC,3385,Y,0,320 ZH,4611,CTU,3395,HAK,4120,Y,0,319 ZH,4611,CTU,3395,HET,6345,,0,320 ZH,4611,CTU,3395,HFE,3389,,0,320 ZH,4611,CTU,3395,HGH,3386,Y,0,320 ZH,4611,CTU,3395,HRB,3400,Y,0,320 ZH,4611,CTU,3395,INC,4085,Y,0,320 ZH,4611,CTU,3395,JJN,6386,,0,738 ZH,4611,CTU,3395,JZH,4301,Y,0,319 ZH,4611,CTU,3395,KHG,3397,Y,0,319 ZH,4611,CTU,3395,KHN,3384,,0,738 ZH,4611,CTU,3395,KMG,3382,,0,319 ZH,4611,CTU,3395,KRL,6407,Y,0,320 ZH,4611,CTU,3395,KWE,3394,Y,0,320 ZH,4611,CTU,3395,KWL,3372,Y,0,319 ZH,4611,CTU,3395,LHW,3378,Y,0,320 319 ZH,4611,CTU,3395,LJG,4033,Y,0,320 ZH,4611,CTU,3395,LXA,4097,,0,319 330 ZH,4611,CTU,3395,LZY,6402,Y,0,319 ZH,4611,CTU,3395,NGB,3387,Y,0,319 ZH,4611,CTU,3395,NKG,3388,,0,738 ZH,4611,CTU,3395,NNG,3373,,0,738 ZH,4611,CTU,3395,PEK,3364,,0,320 ZH,4611,CTU,3395,PVG,3406,,0,319 ZH,4611,CTU,3395,PZI,6435,Y,0,319 ZH,4611,CTU,3395,SHA,3391,Y,0,330 ZH,4611,CTU,3395,SHE,4144,Y,0,320 ZH,4611,CTU,3395,SWA,4302,Y,0,319 ZH,4611,CTU,3395,SYX,4030,Y,0,320 319 ZH,4611,CTU,3395,SZX,3374,,0,738 ZH,4611,CTU,3395,TAO,3390,Y,0,320 ZH,4611,CTU,3395,TNA,4108,Y,0,320 ZH,4611,CTU,3395,TSN,3368,Y,0,737 ZH,4611,CTU,3395,TYN,3369,Y,0,320 ZH,4611,CTU,3395,URC,3399,Y,0,320 ZH,4611,CTU,3395,UYN,6368,Y,0,319 ZH,4611,CTU,3395,WNZ,6392,Y,0,320 ZH,4611,CTU,3395,WUH,3376,,0,320 ZH,4611,CTU,3395,WUX,6390,,0,738 ZH,4611,CTU,3395,XIC,3396,Y,0,319 320 ZH,4611,CTU,3395,XIY,3379,Y,0,737 ZH,4611,CTU,3395,XMN,3383,Y,0,320 ZH,4611,CTU,3395,XNN,6366,Y,0,320 ZH,4611,CTU,3395,YCU,6430,Y,0,319 ZH,4611,CTU,3395,YIN,6409,Y,0,319 ZH,4611,CTU,3395,YIW,6394,Y,0,319 ZH,4611,CTU,3395,YNT,3392,Y,0,319 ZH,4611,CTU,3395,ZHA,6357,Y,0,319 ZH,4611,CTU,3395,ZUH,6355,Y,0,319 ZH,4611,CZX,4109,CAN,3370,,0,320 ZH,4611,CZX,4109,CTU,3395,Y,0,320 ZH,4611,CZX,4109,HRB,3400,,0,320 ZH,4611,CZX,4109,KMG,3382,,0,738 ZH,4611,CZX,4109,PEK,3364,Y,0,737 ZH,4611,CZX,4109,SHE,4144,,0,320 ZH,4611,CZX,4109,SZX,3374,,0,320 ZH,4611,DAT,6344,PEK,3364,Y,0,737 ZH,4611,DAX,6397,CAN,3370,Y,0,737 ZH,4611,DAX,6397,KMG,3382,Y,0,737 ZH,4611,DAX,6397,PEK,3364,Y,0,737 ZH,4611,DAX,6397,SZX,3374,Y,0,319 ZH,4611,DCY,9310,CTU,3395,Y,0,319 ZH,4611,DDG,6433,PEK,3364,Y,0,737 ZH,4611,DLC,3404,CGO,3375,,0,738 ZH,4611,DLC,3404,HGH,3386,,0,737 ZH,4611,DLC,3404,HRB,3400,,0,320 ZH,4611,DLC,3404,NKG,3388,,0,737 320 738 ZH,4611,DLC,3404,NTG,5475,,0,738 ZH,4611,DLC,3404,PEK,3364,,0,737 ZH,4611,DLC,3404,PVG,3406,,0,737 ZH,4611,DLC,3404,SZX,3374,,0,738 ZH,4611,DLC,3404,TNA,4108,,0,738 ZH,4611,DLC,3404,TSN,3368,,0,737 ZH,4611,DLC,3404,TYN,3369,Y,0,737 ZH,4611,DLC,3404,WUX,6390,,0,738 ZH,4611,DLC,3404,XIY,3379,,0,320 ZH,4611,DQA,9845,PEK,3364,Y,0,737 ZH,4611,DSN,6434,PEK,3364,Y,0,737 ZH,4611,DYG,6353,PEK,3364,Y,0,737 ZH,4611,FOC,3385,CSX,3371,,0,320 ZH,4611,FOC,3385,CTU,3395,Y,0,320 ZH,4611,FOC,3385,JDZ,6380,,0,320 ZH,4611,FOC,3385,KIX,3992,,0,320 ZH,4611,FOC,3385,NKG,3388,,0,320 ZH,4611,FOC,3385,NNG,3373,,0,738 ZH,4611,FOC,3385,PEK,3364,Y,0,737 ZH,4611,FOC,3385,SZX,3374,,0,320 ZH,4611,FOC,3385,TNA,4108,,0,738 ZH,4611,FOC,3385,WUX,6390,,0,738 ZH,4611,FOC,3385,ZUH,6355,,0,738 ZH,4611,FUG,7503,PEK,3364,Y,0,737 ZH,4611,GYS,6398,CAN,3370,Y,0,737 ZH,4611,GYS,6398,HGH,3386,Y,0,319 ZH,4611,GYS,6398,PEK,3364,Y,0,737 ZH,4611,GYS,6398,SZX,3374,,0,319 ZH,4611,HAK,4120,CAN,3370,,0,320 738 ZH,4611,HAK,4120,CGO,3375,,0,320 ZH,4611,HAK,4120,CTU,3395,Y,0,319 ZH,4611,HAK,4120,NKG,3388,,0,320 ZH,4611,HAK,4120,PEK,3364,Y,0,320 ZH,4611,HAK,4120,SZX,3374,,0,320 738 319 ZH,4611,HAK,4120,TSN,3368,Y,0,737 ZH,4611,HET,6345,CAN,3370,,0,320 ZH,4611,HET,6345,CTU,3395,,0,320 ZH,4611,HET,6345,HGH,3386,Y,0,319 ZH,4611,HET,6345,HLD,3366,,0,320 ZH,4611,HET,6345,PEK,3364,Y,0,737 320 ZH,4611,HET,6345,PVG,3406,Y,0,320 ZH,4611,HET,6345,SHE,4144,,0,320 ZH,4611,HET,6345,WUH,3376,,0,320 ZH,4611,HFE,3389,CAN,3370,,0,738 ZH,4611,HFE,3389,CTU,3395,,0,320 ZH,4611,HFE,3389,PEK,3364,,0,737 ZH,4611,HFE,3389,SZX,3374,,0,738 320 ZH,4611,HGH,3386,BHY,6351,Y,0,319 ZH,4611,HGH,3386,CAN,3370,Y,0,320 737 ZH,4611,HGH,3386,CGO,3375,Y,0,319 ZH,4611,HGH,3386,CKG,3393,Y,0,319 320 737 ZH,4611,HGH,3386,CTU,3395,Y,0,320 ZH,4611,HGH,3386,DLC,3404,,0,737 ZH,4611,HGH,3386,GYS,6398,Y,0,319 ZH,4611,HGH,3386,HET,6345,Y,0,319 ZH,4611,HGH,3386,INC,4085,Y,0,319 ZH,4611,HGH,3386,JJN,6386,,0,320 ZH,4611,HGH,3386,KMG,3382,Y,0,319 738 ZH,4611,HGH,3386,KWE,3394,,0,738 320 ZH,4611,HGH,3386,KWL,3372,Y,0,319 ZH,4611,HGH,3386,LHW,3378,Y,0,319 ZH,4611,HGH,3386,LJG,4033,Y,0,319 ZH,4611,HGH,3386,NNG,3373,Y,0,319 ZH,4611,HGH,3386,PEK,3364,Y,0,320 330 737 ZH,4611,HGH,3386,SHE,4144,,0,320 ZH,4611,HGH,3386,SZX,3374,,0,738 ZH,4611,HGH,3386,TAO,3390,Y,0,319 ZH,4611,HGH,3386,XIY,3379,,0,320 ZH,4611,HGH,3386,YCU,6430,Y,0,320 ZH,4611,HKG,3077,JJN,6386,,0,320 ZH,4611,HLD,3366,HET,6345,,0,320 ZH,4611,HLD,3366,PEK,3364,Y,0,737 ZH,4611,HLH,6349,PEK,3364,Y,0,737 ZH,4611,HMI,6743,KRL,6407,Y,0,737 ZH,4611,HMI,6743,PEK,3364,Y,0,737 ZH,4611,HRB,3400,CAN,3370,,0,320 ZH,4611,HRB,3400,CGO,3375,,0,320 ZH,4611,HRB,3400,CTU,3395,Y,0,320 ZH,4611,HRB,3400,CZX,4109,,0,320 ZH,4611,HRB,3400,DLC,3404,,0,320 ZH,4611,HRB,3400,PEK,3364,Y,0,737 320 ZH,4611,HRB,3400,SZX,3374,,0,320 738 ZH,4611,HRB,3400,TNA,4108,Y,0,738 ZH,4611,HRB,3400,TSN,3368,Y,0,737 ZH,4611,HRB,3400,TYN,3369,,0,320 ZH,4611,HRB,3400,XIY,3379,Y,0,737 ZH,4611,HRB,3400,YNT,3392,,0,738 737 ZH,4611,HSN,6395,JJN,6386,,0,320 ZH,4611,HTN,3398,URC,3399,Y,0,737 ZH,4611,HYN,6384,CAN,3370,,0,320 ZH,4611,HYN,6384,CKG,3393,Y,0,738 ZH,4611,HYN,6384,CSX,3371,Y,0,738 ZH,4611,HYN,6384,PEK,3364,Y,0,737 ZH,4611,HYN,6384,SZX,3374,,0,738 ZH,4611,HYN,6384,ZUH,6355,,0,738 ZH,4611,ICN,3930,SZX,3374,,0,738 ZH,4611,INC,4085,CGQ,4380,Y,0,737 ZH,4611,INC,4085,CKG,3393,Y,0,737 ZH,4611,INC,4085,CTU,3395,Y,0,320 ZH,4611,INC,4085,HGH,3386,Y,0,319 ZH,4611,INC,4085,PEK,3364,Y,0,737 ZH,4611,INC,4085,PVG,3406,Y,0,320 ZH,4611,INC,4085,XIY,3379,,0,320 738 ZH,4611,JDZ,6380,CAN,3370,,0,320 ZH,4611,JDZ,6380,FOC,3385,,0,320 ZH,4611,JDZ,6380,PEK,3364,Y,0,737 ZH,4611,JDZ,6380,SHA,3391,,0,320 ZH,4611,JDZ,6380,SZX,3374,,0,320 ZH,4611,JDZ,6380,XIY,3379,,0,320 ZH,4611,JGS,6428,PEK,3364,Y,0,737 ZH,4611,JHG,3381,KMG,3382,Y,0,738 ZH,4611,JHG,3381,LJG,4033,Y,0,738 ZH,4611,JJN,6386,CAN,3370,,0,320 ZH,4611,JJN,6386,CSX,3371,,0,320 ZH,4611,JJN,6386,CTU,3395,,0,738 ZH,4611,JJN,6386,HGH,3386,,0,320 ZH,4611,JJN,6386,HKG,3077,,0,320 ZH,4611,JJN,6386,HSN,6395,,0,320 ZH,4611,JJN,6386,PVG,3406,,0,320 ZH,4611,JJN,6386,SZX,3374,,0,320 ZH,4611,JMU,6411,PEK,3364,Y,0,737 ZH,4611,JUZ,6382,SZX,3374,,0,320 ZH,4611,JZH,4301,CAN,3370,Y,0,319 ZH,4611,JZH,4301,CKG,3393,Y,0,737 ZH,4611,JZH,4301,CTU,3395,Y,0,319 ZH,4611,JZH,4301,PVG,3406,Y,0,319 ZH,4611,KHG,3397,CTU,3395,Y,0,319 ZH,4611,KHG,3397,URC,3399,Y,0,737 ZH,4611,KHN,3384,CAN,3370,,0,320 ZH,4611,KHN,3384,CTU,3395,,0,738 ZH,4611,KHN,3384,PEK,3364,Y,0,737 320 ZH,4611,KHN,3384,PVG,3406,,0,320 ZH,4611,KHN,3384,SZX,3374,,0,320 319 ZH,4611,KHN,3384,TAO,3390,,0,320 ZH,4611,KIX,3992,FOC,3385,,0,320 ZH,4611,KIX,3992,WUX,6390,,0,738 ZH,4611,KMG,3382,CAN,3370,,0,320 738 ZH,4611,KMG,3382,CGO,3375,,0,320 738 ZH,4611,KMG,3382,CKG,3393,,0,738 ZH,4611,KMG,3382,CSX,3371,,0,738 320 ZH,4611,KMG,3382,CTU,3395,,0,319 ZH,4611,KMG,3382,CZX,4109,,0,738 ZH,4611,KMG,3382,DAX,6397,Y,0,737 ZH,4611,KMG,3382,HGH,3386,Y,0,738 319 ZH,4611,KMG,3382,JHG,3381,Y,0,738 ZH,4611,KMG,3382,LJG,4033,Y,0,738 ZH,4611,KMG,3382,NKG,3388,Y,0,738 ZH,4611,KMG,3382,NNG,3373,Y,0,738 ZH,4611,KMG,3382,PEK,3364,Y,0,737 ZH,4611,KMG,3382,PVG,3406,,0,738 ZH,4611,KMG,3382,SZX,3374,,0,738 ZH,4611,KMG,3382,TNA,4108,Y,0,738 ZH,4611,KMG,3382,TSN,3368,Y,0,737 ZH,4611,KMG,3382,TYN,3369,,0,320 ZH,4611,KMG,3382,WNZ,6392,Y,0,737 ZH,4611,KMG,3382,WUH,3376,,0,738 ZH,4611,KMG,3382,XIY,3379,Y,0,738 ZH,4611,KMG,3382,XMN,3383,Y,0,738 ZH,4611,KMG,3382,YCU,6430,Y,0,737 ZH,4611,KOW,6379,PEK,3364,Y,0,737 ZH,4611,KRL,6407,CTU,3395,Y,0,320 ZH,4611,KRL,6407,HMI,6743,Y,0,737 ZH,4611,KWE,3394,CAN,3370,,0,320 738 ZH,4611,KWE,3394,CGO,3375,,0,738 ZH,4611,KWE,3394,CSX,3371,,0,738 ZH,4611,KWE,3394,CTU,3395,Y,0,320 ZH,4611,KWE,3394,HGH,3386,,0,738 320 ZH,4611,KWE,3394,NKG,3388,,0,738 ZH,4611,KWE,3394,PEK,3364,Y,0,320 737 ZH,4611,KWE,3394,PVG,3406,Y,0,320 ZH,4611,KWE,3394,SYX,4030,,0,320 ZH,4611,KWE,3394,SZX,3374,,0,738 320 ZH,4611,KWE,3394,WNZ,6392,Y,0,319 ZH,4611,KWE,3394,XIY,3379,,0,320 ZH,4611,KWL,3372,CTU,3395,Y,0,319 ZH,4611,KWL,3372,HGH,3386,Y,0,319 ZH,4611,KWL,3372,NKG,3388,,0,738 ZH,4611,KWL,3372,PEK,3364,Y,0,320 737 ZH,4611,KWL,3372,PVG,3406,Y,0,320 ZH,4611,KWL,3372,SZX,3374,,0,319 ZH,4611,LHW,3378,CSX,3371,,0,319 ZH,4611,LHW,3378,CTU,3395,Y,0,320 319 ZH,4611,LHW,3378,HGH,3386,Y,0,319 ZH,4611,LHW,3378,PEK,3364,Y,0,737 ZH,4611,LHW,3378,XIY,3379,,0,738 ZH,4611,LJG,4033,CKG,3393,Y,0,737 ZH,4611,LJG,4033,CTU,3395,Y,0,320 ZH,4611,LJG,4033,HGH,3386,Y,0,319 ZH,4611,LJG,4033,JHG,3381,Y,0,738 ZH,4611,LJG,4033,KMG,3382,Y,0,738 ZH,4611,LJG,4033,PEK,3364,Y,0,320 ZH,4611,LJG,4033,XIY,3379,,0,738 ZH,4611,LXA,4097,CKG,3393,Y,0,319 ZH,4611,LXA,4097,CTU,3395,,0,319 330 ZH,4611,LXA,4097,PEK,3364,Y,0,319 ZH,4611,LYI,6385,CAN,3370,,0,320 ZH,4611,LYI,6385,SHE,4144,,0,320 ZH,4611,LZH,6356,PEK,3364,Y,0,737 ZH,4611,LZO,6399,CAN,3370,Y,0,737 ZH,4611,LZY,6402,CTU,3395,Y,0,319 ZH,4611,MDG,3402,PEK,3364,Y,0,737 ZH,4611,MFM,3121,WUX,6390,,0,738 ZH,4611,MIG,6400,PEK,3364,Y,0,737 ZH,4611,MIG,6400,SZX,3374,,0,320 738 ZH,4611,NDG,6413,PEK,3364,Y,0,737 ZH,4611,NGB,3387,CTU,3395,Y,0,319 ZH,4611,NGB,3387,PEK,3364,Y,0,737 ZH,4611,NKG,3388,CAN,3370,,0,738 320 ZH,4611,NKG,3388,CGQ,4380,,0,738 320 ZH,4611,NKG,3388,CKG,3393,,0,738 ZH,4611,NKG,3388,CSX,3371,,0,738 ZH,4611,NKG,3388,CTU,3395,,0,738 ZH,4611,NKG,3388,DLC,3404,,0,320 738 737 ZH,4611,NKG,3388,FOC,3385,,0,320 ZH,4611,NKG,3388,HAK,4120,,0,320 ZH,4611,NKG,3388,KMG,3382,Y,0,738 ZH,4611,NKG,3388,KWE,3394,,0,738 ZH,4611,NKG,3388,KWL,3372,,0,738 ZH,4611,NKG,3388,NNG,3373,,0,738 ZH,4611,NKG,3388,PEK,3364,Y,0,737 320 ZH,4611,NKG,3388,SHE,4144,,0,320 ZH,4611,NKG,3388,SZX,3374,,0,738 737 ZH,4611,NKG,3388,XIY,3379,,0,738 ZH,4611,NKG,3388,XMN,3383,,0,738 ZH,4611,NKG,3388,YNT,3392,,0,738 ZH,4611,NNG,3373,CAN,3370,,0,738 ZH,4611,NNG,3373,CGO,3375,,0,738 320 ZH,4611,NNG,3373,CSX,3371,,0,738 ZH,4611,NNG,3373,CTU,3395,,0,738 ZH,4611,NNG,3373,FOC,3385,,0,738 ZH,4611,NNG,3373,HGH,3386,Y,0,319 ZH,4611,NNG,3373,KMG,3382,Y,0,738 ZH,4611,NNG,3373,NKG,3388,,0,738 ZH,4611,NNG,3373,PEK,3364,,0,738 ZH,4611,NNG,3373,SYX,4030,,0,320 ZH,4611,NNG,3373,SZX,3374,,0,738 ZH,4611,NNG,3373,TPE,2276,,0,738 ZH,4611,NNG,3373,WUH,3376,,0,738 ZH,4611,NNG,3373,XIY,3379,,0,320 ZH,4611,NNG,3373,XMN,3383,Y,0,738 ZH,4611,NNG,3373,ZUH,6355,,0,738 ZH,4611,NRT,2279,CAN,3370,Y,0,763 ZH,4611,NRT,2279,XMN,3383,Y,0,763 ZH,4611,NTG,5475,CAN,3370,,0,320 ZH,4611,NTG,5475,CKG,3393,,0,738 ZH,4611,NTG,5475,DLC,3404,,0,738 ZH,4611,NTG,5475,PEK,3364,Y,0,737 ZH,4611,NTG,5475,SHE,4144,,0,738 ZH,4611,NTG,5475,SZX,3374,,0,738 ZH,4611,NTG,5475,TSN,3368,,0,320 ZH,4611,NTG,5475,XMN,3383,,0,738 ZH,4611,PEK,3364,BAV,6346,Y,0,737 ZH,4611,PEK,3364,BHY,6351,Y,0,737 ZH,4611,PEK,3364,CAN,3370,Y,0,320 777 737 747 330 ZH,4611,PEK,3364,CGO,3375,Y,0,737 ZH,4611,PEK,3364,CGQ,4380,Y,0,330 737 320 ZH,4611,PEK,3364,CHG,6772,Y,0,737 ZH,4611,PEK,3364,CIF,6342,Y,0,737 ZH,4611,PEK,3364,CKG,3393,Y,0,330 737 320 ZH,4611,PEK,3364,CSX,3371,Y,0,320 737 ZH,4611,PEK,3364,CTU,3395,,0,320 ZH,4611,PEK,3364,CZX,4109,Y,0,737 ZH,4611,PEK,3364,DAT,6344,Y,0,737 ZH,4611,PEK,3364,DAX,6397,Y,0,737 ZH,4611,PEK,3364,DDG,6433,Y,0,737 ZH,4611,PEK,3364,DLC,3404,,0,737 ZH,4611,PEK,3364,DQA,9845,Y,0,737 ZH,4611,PEK,3364,DSN,6434,Y,0,737 ZH,4611,PEK,3364,DYG,6353,Y,0,737 ZH,4611,PEK,3364,FOC,3385,Y,0,737 ZH,4611,PEK,3364,FUG,7503,Y,0,737 ZH,4611,PEK,3364,GYS,6398,Y,0,737 ZH,4611,PEK,3364,HAK,4120,Y,0,320 ZH,4611,PEK,3364,HET,6345,Y,0,737 320 ZH,4611,PEK,3364,HFE,3389,,0,737 ZH,4611,PEK,3364,HGH,3386,Y,0,320 330 737 ZH,4611,PEK,3364,HLD,3366,Y,0,737 ZH,4611,PEK,3364,HLH,6349,Y,0,737 ZH,4611,PEK,3364,HMI,6743,Y,0,737 ZH,4611,PEK,3364,HRB,3400,Y,0,320 737 ZH,4611,PEK,3364,HYN,6384,Y,0,737 ZH,4611,PEK,3364,INC,4085,Y,0,737 ZH,4611,PEK,3364,JDZ,6380,Y,0,737 ZH,4611,PEK,3364,JGS,6428,Y,0,737 ZH,4611,PEK,3364,JMU,6411,Y,0,737 ZH,4611,PEK,3364,KHN,3384,Y,0,320 737 ZH,4611,PEK,3364,KMG,3382,Y,0,737 ZH,4611,PEK,3364,KOW,6379,Y,0,737 ZH,4611,PEK,3364,KWE,3394,Y,0,737 320 ZH,4611,PEK,3364,KWL,3372,Y,0,320 737 ZH,4611,PEK,3364,LHW,3378,Y,0,737 ZH,4611,PEK,3364,LJG,4033,Y,0,320 ZH,4611,PEK,3364,LXA,4097,Y,0,319 ZH,4611,PEK,3364,LZH,6356,Y,0,737 ZH,4611,PEK,3364,MDG,3402,Y,0,737 ZH,4611,PEK,3364,MIG,6400,Y,0,737 ZH,4611,PEK,3364,NDG,6413,Y,0,737 ZH,4611,PEK,3364,NGB,3387,Y,0,737 ZH,4611,PEK,3364,NKG,3388,Y,0,320 737 ZH,4611,PEK,3364,NNG,3373,,0,738 ZH,4611,PEK,3364,NTG,5475,Y,0,737 ZH,4611,PEK,3364,PVG,3406,,0,330 737 ZH,4611,PEK,3364,RLK,8630,Y,0,737 ZH,4611,PEK,3364,SHA,3391,Y,0,777 747 737 330 ZH,4611,PEK,3364,SHE,4144,Y,0,320 737 ZH,4611,PEK,3364,SWA,4302,Y,0,737 ZH,4611,PEK,3364,SYX,4030,Y,0,320 330 ZH,4611,PEK,3364,SZX,3374,,0,738 739 ZH,4611,PEK,3364,TAO,3390,Y,0,320 737 ZH,4611,PEK,3364,TGO,6348,Y,0,737 ZH,4611,PEK,3364,TXN,6387,Y,0,737 ZH,4611,PEK,3364,TYN,3369,Y,0,737 ZH,4611,PEK,3364,URC,3399,Y,0,737 777 320 ZH,4611,PEK,3364,WNZ,6392,Y,0,737 320 319 ZH,4611,PEK,3364,WUA,6955,Y,0,737 ZH,4611,PEK,3364,WUH,3376,,0,320 ZH,4611,PEK,3364,WUX,6390,,0,738 ZH,4611,PEK,3364,XFN,6360,Y,0,737 ZH,4611,PEK,3364,XIL,6350,Y,0,737 ZH,4611,PEK,3364,XIY,3379,Y,0,737 330 320 ZH,4611,PEK,3364,XMN,3383,,0,737 ZH,4611,PEK,3364,XNN,6366,Y,0,737 ZH,4611,PEK,3364,YBP,4110,Y,0,737 ZH,4611,PEK,3364,YCU,6430,Y,0,737 ZH,4611,PEK,3364,YIC,9107,,0,320 ZH,4611,PEK,3364,YIH,6361,Y,0,737 ZH,4611,PEK,3364,YIW,6394,Y,0,737 ZH,4611,PEK,3364,YNJ,6414,Y,0,737 ZH,4611,PEK,3364,YNT,3392,Y,0,737 ZH,4611,PEK,3364,YNZ,6393,Y,0,737 ZH,4611,PEK,3364,YTY,8876,Y,0,737 ZH,4611,PEK,3364,ZHA,6357,Y,0,737 ZH,4611,PEK,3364,ZUH,6355,Y,0,737 320 ZH,4611,PEK,3364,ZYI,9846,Y,0,737 ZH,4611,PVG,3406,CAN,3370,Y,0,340 330 320 ZH,4611,PVG,3406,CKG,3393,,0,737 ZH,4611,PVG,3406,CTU,3395,,0,319 ZH,4611,PVG,3406,DLC,3404,,0,737 ZH,4611,PVG,3406,HET,6345,Y,0,320 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ZH,4611,SHE,4144,PEK,3364,Y,0,320 737 ZH,4611,SHE,4144,SZX,3374,,0,320 ZH,4611,SHE,4144,TPE,2276,,0,320 ZH,4611,SHE,4144,TYN,3369,,0,320 ZH,4611,SHE,4144,WNZ,6392,,0,320 ZH,4611,SHE,4144,WUH,3376,,0,738 ZH,4611,SHE,4144,WUX,6390,,0,738 320 ZH,4611,SHE,4144,XIY,3379,,0,320 ZH,4611,SIN,3316,SZX,3374,,0,320 738 319 ZH,4611,SWA,4302,CTU,3395,Y,0,319 ZH,4611,SWA,4302,PEK,3364,Y,0,737 ZH,4611,SYX,4030,CTU,3395,Y,0,320 319 ZH,4611,SYX,4030,KWE,3394,,0,320 ZH,4611,SYX,4030,NNG,3373,,0,320 ZH,4611,SYX,4030,PEK,3364,Y,0,320 330 ZH,4611,SYX,4030,SZX,3374,,0,320 ZH,4611,SYX,4030,TYN,3369,,0,320 ZH,4611,SYX,4030,WNZ,6392,,0,320 ZH,4611,SYX,4030,WUX,6390,,0,320 ZH,4611,SZX,3374,BKK,3885,,0,738 ZH,4611,SZX,3374,CGO,3375,,0,320 738 ZH,4611,SZX,3374,CGQ,4380,,0,320 738 ZH,4611,SZX,3374,CKG,3393,,0,738 739 ZH,4611,SZX,3374,CSX,3371,,0,319 ZH,4611,SZX,3374,CTU,3395,,0,738 ZH,4611,SZX,3374,CZX,4109,,0,320 ZH,4611,SZX,3374,DAX,6397,Y,0,319 ZH,4611,SZX,3374,DLC,3404,,0,738 ZH,4611,SZX,3374,FOC,3385,,0,320 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ZH,4611,URC,3399,HTN,3398,Y,0,737 ZH,4611,URC,3399,KHG,3397,Y,0,737 ZH,4611,URC,3399,PEK,3364,Y,0,737 777 320 ZH,4611,URC,3399,XIY,3379,Y,0,737 320 ZH,4611,URC,3399,YCU,6430,Y,0,320 ZH,4611,UYN,6368,CTU,3395,Y,0,319 ZH,4611,WNZ,6392,CAN,3370,,0,738 320 ZH,4611,WNZ,6392,CKG,3393,Y,0,319 ZH,4611,WNZ,6392,CTU,3395,Y,0,320 ZH,4611,WNZ,6392,KMG,3382,Y,0,737 ZH,4611,WNZ,6392,KWE,3394,Y,0,319 ZH,4611,WNZ,6392,PEK,3364,Y,0,320 737 319 ZH,4611,WNZ,6392,PVG,3406,Y,0,319 320 ZH,4611,WNZ,6392,SHE,4144,,0,320 ZH,4611,WNZ,6392,SYX,4030,,0,320 ZH,4611,WNZ,6392,SZX,3374,,0,320 ZH,4611,WNZ,6392,XIY,3379,Y,0,320 ZH,4611,WUA,6955,PEK,3364,Y,0,737 ZH,4611,WUH,3376,CAN,3370,,0,320 738 737 ZH,4611,WUH,3376,CGQ,4380,,0,738 ZH,4611,WUH,3376,CTU,3395,,0,320 ZH,4611,WUH,3376,HET,6345,,0,320 ZH,4611,WUH,3376,KMG,3382,,0,738 ZH,4611,WUH,3376,NNG,3373,,0,738 ZH,4611,WUH,3376,PEK,3364,,0,320 ZH,4611,WUH,3376,SHE,4144,,0,738 ZH,4611,WUH,3376,SZX,3374,,0,320 ZH,4611,WUH,3376,WUX,6390,,0,738 ZH,4611,WUH,3376,XMN,3383,,0,320 ZH,4611,WUH,3376,XNN,6366,,0,320 ZH,4611,WUH,3376,YNT,3392,,0,320 ZH,4611,WUH,3376,YTY,8876,Y,0,738 ZH,4611,WUX,6390,CAN,3370,,0,738 ZH,4611,WUX,6390,CKG,3393,,0,738 ZH,4611,WUX,6390,CSX,3371,,0,738 ZH,4611,WUX,6390,CTU,3395,,0,738 ZH,4611,WUX,6390,DLC,3404,,0,738 ZH,4611,WUX,6390,FOC,3385,,0,738 ZH,4611,WUX,6390,KIX,3992,,0,738 ZH,4611,WUX,6390,MFM,3121,,0,738 ZH,4611,WUX,6390,PEK,3364,,0,738 ZH,4611,WUX,6390,SHE,4144,,0,320 738 ZH,4611,WUX,6390,SYX,4030,,0,320 ZH,4611,WUX,6390,SZX,3374,,0,738 ZH,4611,WUX,6390,TPE,2276,,0,738 ZH,4611,WUX,6390,WUH,3376,,0,738 ZH,4611,WUX,6390,XIY,3379,,0,738 ZH,4611,WUX,6390,XMN,3383,,0,738 ZH,4611,WXN,6403,CAN,3370,Y,0,737 ZH,4611,XFN,6360,PEK,3364,Y,0,737 ZH,4611,XFN,6360,SZX,3374,,0,319 ZH,4611,XIC,3396,CTU,3395,Y,0,319 320 ZH,4611,XIL,6350,PEK,3364,Y,0,737 ZH,4611,XIY,3379,CAN,3370,,0,738 320 ZH,4611,XIY,3379,CKG,3393,Y,0,737 ZH,4611,XIY,3379,CSX,3371,,0,320 ZH,4611,XIY,3379,CTU,3395,Y,0,737 ZH,4611,XIY,3379,DLC,3404,,0,320 ZH,4611,XIY,3379,HGH,3386,,0,320 ZH,4611,XIY,3379,HRB,3400,Y,0,737 ZH,4611,XIY,3379,INC,4085,,0,320 738 ZH,4611,XIY,3379,JDZ,6380,,0,320 ZH,4611,XIY,3379,KMG,3382,Y,0,738 ZH,4611,XIY,3379,KWE,3394,,0,320 ZH,4611,XIY,3379,KWL,3372,Y,0,737 ZH,4611,XIY,3379,LHW,3378,,0,738 ZH,4611,XIY,3379,LJG,4033,,0,738 ZH,4611,XIY,3379,NKG,3388,,0,738 ZH,4611,XIY,3379,NNG,3373,,0,320 ZH,4611,XIY,3379,PEK,3364,Y,0,320 737 330 ZH,4611,XIY,3379,PVG,3406,Y,0,320 ZH,4611,XIY,3379,SHE,4144,,0,320 ZH,4611,XIY,3379,SZX,3374,,0,320 ZH,4611,XIY,3379,TSN,3368,Y,0,737 ZH,4611,XIY,3379,URC,3399,Y,0,737 320 ZH,4611,XIY,3379,WNZ,6392,Y,0,320 ZH,4611,XIY,3379,WUX,6390,,0,738 ZH,4611,XIY,3379,XNN,6366,,0,738 320 ZH,4611,XIY,3379,YNT,3392,,0,320 ZH,4611,XIY,3379,YTY,8876,,0,320 ZH,4611,XMN,3383,CAN,3370,,0,320 ZH,4611,XMN,3383,CKG,3393,Y,0,737 ZH,4611,XMN,3383,CTU,3395,Y,0,320 ZH,4611,XMN,3383,KMG,3382,Y,0,738 ZH,4611,XMN,3383,NKG,3388,,0,738 ZH,4611,XMN,3383,NNG,3373,Y,0,738 ZH,4611,XMN,3383,NRT,2279,Y,0,763 ZH,4611,XMN,3383,NTG,5475,,0,738 ZH,4611,XMN,3383,PEK,3364,,0,737 ZH,4611,XMN,3383,SZX,3374,,0,320 ZH,4611,XMN,3383,TSN,3368,Y,0,737 ZH,4611,XMN,3383,WUH,3376,,0,320 ZH,4611,XMN,3383,WUX,6390,,0,738 ZH,4611,XMN,3383,YTY,8876,,0,320 ZH,4611,XNN,6366,CGO,3375,Y,0,319 ZH,4611,XNN,6366,CTU,3395,Y,0,320 ZH,4611,XNN,6366,PEK,3364,Y,0,737 ZH,4611,XNN,6366,WUH,3376,,0,320 ZH,4611,XNN,6366,XIY,3379,,0,738 320 ZH,4611,YBP,4110,CAN,3370,Y,0,737 ZH,4611,YBP,4110,PEK,3364,Y,0,737 ZH,4611,YBP,4110,SZX,3374,,0,319 ZH,4611,YCU,6430,CAN,3370,Y,0,737 ZH,4611,YCU,6430,CTU,3395,Y,0,319 ZH,4611,YCU,6430,HGH,3386,Y,0,320 ZH,4611,YCU,6430,KMG,3382,Y,0,737 ZH,4611,YCU,6430,PEK,3364,Y,0,737 ZH,4611,YCU,6430,SZX,3374,,0,320 ZH,4611,YCU,6430,TSN,3368,Y,0,737 ZH,4611,YCU,6430,URC,3399,Y,0,320 ZH,4611,YIC,9107,PEK,3364,,0,320 ZH,4611,YIC,9107,SZX,3374,,0,320 ZH,4611,YIH,6361,PEK,3364,Y,0,737 ZH,4611,YIH,6361,SZX,3374,,0,320 ZH,4611,YIN,6409,CTU,3395,Y,0,319 ZH,4611,YIW,6394,CTU,3395,Y,0,319 ZH,4611,YIW,6394,PEK,3364,Y,0,737 ZH,4611,YNJ,6414,PEK,3364,Y,0,737 ZH,4611,YNT,3392,CGQ,4380,,0,320 CRJ ZH,4611,YNT,3392,CTU,3395,Y,0,319 ZH,4611,YNT,3392,HRB,3400,,0,738 737 ZH,4611,YNT,3392,NKG,3388,,0,738 ZH,4611,YNT,3392,PEK,3364,Y,0,737 ZH,4611,YNT,3392,WUH,3376,,0,320 ZH,4611,YNT,3392,XIY,3379,,0,320 ZH,4611,YNZ,6393,PEK,3364,Y,0,737 ZH,4611,YTY,8876,CKG,3393,Y,0,737 ZH,4611,YTY,8876,PEK,3364,Y,0,737 ZH,4611,YTY,8876,SZX,3374,,0,320 ZH,4611,YTY,8876,WUH,3376,Y,0,738 ZH,4611,YTY,8876,XIY,3379,,0,320 ZH,4611,YTY,8876,XMN,3383,,0,320 ZH,4611,ZHA,6357,CTU,3395,Y,0,319 ZH,4611,ZHA,6357,PEK,3364,Y,0,737 ZH,4611,ZHA,6357,SZX,3374,,0,738 ZH,4611,ZUH,6355,CKG,3393,Y,0,737 ZH,4611,ZUH,6355,CTU,3395,Y,0,319 ZH,4611,ZUH,6355,FOC,3385,,0,738 ZH,4611,ZUH,6355,HYN,6384,,0,738 ZH,4611,ZUH,6355,NNG,3373,,0,738 ZH,4611,ZUH,6355,PEK,3364,Y,0,737 320 ZH,4611,ZYI,9846,PEK,3364,Y,0,737 ZI,21,AAE,220,MRS,1353,,0,319 ZI,21,AAE,220,ORY,1386,,0,319 ZI,21,ALG,210,CDG,1382,,0,319 ZI,21,ALG,210,LIL,1399,,0,320 ZI,21,ALG,210,LYS,1335,,0,320 319 ZI,21,ALG,210,MLH,\N,,0,320 ZI,21,ALG,210,MRS,1353,,0,319 ZI,21,ALG,210,ORY,1386,,0,320 319 ZI,21,ALG,210,TLS,1273,,0,320 319 ZI,21,BJA,209,MRS,1353,,0,320 ZI,21,BJA,209,ORY,1386,,0,320 319 ZI,21,BKO,1044,ORY,1386,,0,320 ZI,21,BSK,235,ORY,1386,,0,319 ZI,21,CDG,1382,ALG,210,,0,319 ZI,21,CDG,1382,FAO,1626,,0,319 ZI,21,CDG,1382,ORN,231,,0,319 ZI,21,CZL,221,LYS,1335,,0,320 ZI,21,CZL,221,MLH,\N,,0,320 ZI,21,CZL,221,MRS,1353,,0,319 ZI,21,CZL,221,ORY,1386,,0,319 ZI,21,DJE,293,ORY,1386,,0,320 ZI,21,FAO,1626,CDG,1382,,0,319 ZI,21,FNC,4091,ORY,1386,,0,320 ZI,21,LIL,1399,ALG,210,,0,320 ZI,21,LIL,1399,ORN,231,,0,320 ZI,21,LIS,1638,ORY,1386,,0,319 320 ZI,21,LYS,1335,ALG,210,,0,320 319 ZI,21,LYS,1335,CZL,221,,0,320 ZI,21,LYS,1335,ORN,231,,0,320 ZI,21,LYS,1335,QSF,6492,,0,320 ZI,21,MLH,\N,ALG,210,,0,320 ZI,21,MLH,\N,CZL,221,,0,320 ZI,21,MLH,\N,ORN,231,,0,319 ZI,21,MLH,\N,QSF,6492,,0,320 ZI,21,MRS,1353,AAE,220,,0,319 ZI,21,MRS,1353,ALG,210,,0,319 ZI,21,MRS,1353,BJA,209,,0,320 ZI,21,MRS,1353,CZL,221,,0,319 ZI,21,MRS,1353,ORN,231,,0,319 ZI,21,MRS,1353,QSF,6492,,0,319 ZI,21,MRS,1353,TLM,230,,0,319 ZI,21,OPO,1636,ORY,1386,,0,320 319 ZI,21,ORN,231,CDG,1382,,0,319 ZI,21,ORN,231,LIL,1399,,0,320 ZI,21,ORN,231,LYS,1335,,0,320 ZI,21,ORN,231,MLH,\N,,0,319 ZI,21,ORN,231,MRS,1353,,0,319 ZI,21,ORN,231,ORY,1386,,0,320 ZI,21,ORN,231,TLS,1273,,0,319 320 ZI,21,ORY,1386,AAE,220,,0,319 ZI,21,ORY,1386,ALG,210,,0,320 319 ZI,21,ORY,1386,BJA,209,,0,320 319 ZI,21,ORY,1386,BKO,1044,,0,320 ZI,21,ORY,1386,BSK,235,,0,319 ZI,21,ORY,1386,CZL,221,,0,319 ZI,21,ORY,1386,DJE,293,,0,320 ZI,21,ORY,1386,FNC,4091,,0,320 ZI,21,ORY,1386,LIS,1638,,0,319 320 ZI,21,ORY,1386,OPO,1636,,0,320 319 ZI,21,ORY,1386,ORN,231,,0,320 ZI,21,ORY,1386,QSF,6492,,0,320 ZI,21,ORY,1386,TLM,230,,0,320 319 ZI,21,ORY,1386,VKO,2988,,0,320 ZI,21,QSF,6492,LYS,1335,,0,320 ZI,21,QSF,6492,MLH,\N,,0,320 ZI,21,QSF,6492,MRS,1353,,0,319 ZI,21,QSF,6492,ORY,1386,,0,320 ZI,21,TLM,230,MRS,1353,,0,319 ZI,21,TLM,230,ORY,1386,,0,320 319 ZI,21,TLS,1273,ALG,210,,0,320 319 ZI,21,TLS,1273,ORN,231,,0,319 320 ZI,21,VKO,2988,ORY,1386,,0,320 ZK,2607,AIA,7067,CDR,7066,,0,BE1 ZK,2607,ALS,7073,DEN,3751,,0,BE1 BEH ZK,2607,ALS,7073,FMN,3743,,0,BE1 ZK,2607,ATY,5721,MSP,3858,,0,BE1 ZK,2607,ATY,5721,PIR,5761,,0,BE1 ZK,2607,BFF,5723,DEN,3751,,0,BE1 ZK,2607,CDR,7066,DEN,3751,,0,BE1 ZK,2607,CEZ,4338,DEN,3751,,0,BE1 ZK,2607,CYS,3804,DEN,3751,,0,BEH BE1 ZK,2607,CYS,3804,WRL,5777,,0,BEH BE1 ZK,2607,DDC,5733,DEN,3751,,0,BE1 BEH ZK,2607,DDC,5733,LBL,4341,,0,BE1 ZK,2607,DEN,3751,AIA,7067,,0,BE1 ZK,2607,DEN,3751,ALS,7073,,0,BE1 BEH ZK,2607,DEN,3751,BFF,5723,,0,BE1 ZK,2607,DEN,3751,CEZ,4338,,0,BE1 ZK,2607,DEN,3751,CYS,3804,,0,BEH BE1 ZK,2607,DEN,3751,DDC,5733,,0,BEH BE1 ZK,2607,DEN,3751,EAR,6129,,0,EM2 ZK,2607,DEN,3751,FMN,3743,,0,BE1 ZK,2607,DEN,3751,LBF,5748,,0,BE1 ZK,2607,DEN,3751,LBL,4341,,0,BE1 BEH ZK,2607,DEN,3751,MCK,7068,,0,BEH ZK,2607,DEN,3751,PGA,4124,,0,BE1 ZK,2607,DEN,3751,PIR,5761,,0,BE1 ZK,2607,DEN,3751,RIW,6881,,0,EM2 ZK,2607,DEN,3751,SHR,5769,,0,EM2 ZK,2607,EAR,6129,DEN,3751,,0,EM2 ZK,2607,FMN,3743,ALS,7073,,0,BE1 ZK,2607,FMN,3743,DEN,3751,,0,BE1 ZK,2607,FMN,3743,SOW,7078,,0,BE1 ZK,2607,HON,3491,PIR,5761,,0,BE1 ZK,2607,IGM,6132,LAX,3484,,0,BE1 ZK,2607,IGM,6132,PGA,4124,,0,BE1 ZK,2607,LAX,3484,IGM,6132,,0,BE1 ZK,2607,LAX,3484,MCE,7122,,0,BE1 ZK,2607,LAX,3484,PRC,3446,,0,BE1 ZK,2607,LAX,3484,VIS,7121,,0,BE1 ZK,2607,LBF,5748,DEN,3751,,0,BE1 ZK,2607,LBL,4341,DDC,5733,,0,BE1 ZK,2607,LBL,4341,DEN,3751,,0,BE1 BEH ZK,2607,MCE,7122,LAX,3484,,0,BE1 ZK,2607,MCK,7068,DEN,3751,,0,BEH ZK,2607,MSP,3858,ATY,5721,,0,BE1 ZK,2607,PGA,4124,DEN,3751,,0,BE1 ZK,2607,PGA,4124,IGM,6132,,0,BE1 ZK,2607,PGA,4124,PHX,3462,,0,BE1 ZK,2607,PHX,3462,PGA,4124,,0,BE1 ZK,2607,PHX,3462,SOW,7078,,0,BE1 ZK,2607,PHX,3462,SVC,6135,,0,BE1 ZK,2607,PIR,5761,ATY,5721,,0,BE1 ZK,2607,PIR,5761,DEN,3751,,0,BE1 ZK,2607,PIR,5761,HON,3491,,0,BE1 ZK,2607,PRC,3446,LAX,3484,,0,BE1 ZK,2607,RIW,6881,DEN,3751,,0,EM2 ZK,2607,SHR,5769,DEN,3751,,0,EM2 ZK,2607,SOW,7078,FMN,3743,,0,BE1 ZK,2607,SOW,7078,PHX,3462,,0,BE1 ZK,2607,SVC,6135,PHX,3462,,0,BE1 ZK,2607,VIS,7121,LAX,3484,,0,BE1 ZK,2607,WRL,5777,CYS,3804,,0,BEH BE1 ZL,4178,ABX,3333,MEL,3339,,0,SF3 ZL,4178,ABX,3333,SYD,3361,,0,SF3 ZL,4178,ADL,3341,BHQ,6241,,0,SF3 ZL,4178,ADL,3341,CED,6256,,0,SF3 ZL,4178,ADL,3341,CPD,6253,,0,SF3 ZL,4178,ADL,3341,KGC,4051,,0,SF3 ZL,4178,ADL,3341,MGB,6303,,0,SF3 ZL,4178,ADL,3341,MQL,6298,,0,SF3 ZL,4178,ADL,3341,PLO,6318,,0,SF3 ZL,4178,ADL,3341,WYA,6334,,0,SF3 ZL,4178,ARM,4062,SYD,3361,,0,SF3 ZL,4178,BHQ,6241,ADL,3341,,0,SF3 ZL,4178,BHQ,6241,DBO,3358,,0,SF3 ZL,4178,BHQ,6241,MQL,6298,,0,SF3 ZL,4178,BHQ,6241,SYD,3361,,0,SF3 ZL,4178,BHS,6249,PKE,6317,,0,SF3 ZL,4178,BHS,6249,SYD,3361,,0,SF3 ZL,4178,BNK,4291,NTL,4320,,0,SF3 ZL,4178,BNK,4291,SYD,3361,,0,SF3 ZL,4178,BWT,6338,MEL,3339,,0,SF3 ZL,4178,CED,6256,ADL,3341,,0,SF3 ZL,4178,CPD,6253,ADL,3341,,0,SF3 ZL,4178,DBO,3358,BHQ,6241,,0,SF3 ZL,4178,DBO,3358,SYD,3361,,0,SF3 ZL,4178,GFF,6271,NRA,6307,,0,SF3 ZL,4178,GFF,6271,SYD,3361,,0,SF3 ZL,4178,GFN,6792,TRO,6794,,0,SF3 ZL,4178,ISA,3324,JCK,6276,,0,SF3 ZL,4178,ISA,3324,TSV,3330,,0,SF3 ZL,4178,JCK,6276,ISA,3324,,0,SF3 ZL,4178,JCK,6276,RCM,9904,,0,SF3 ZL,4178,KGC,4051,ADL,3341,,0,SF3 ZL,4178,KNS,6278,MEL,3339,,0,SF3 ZL,4178,LRE,6289,WIN,6337,,0,SF3 ZL,4178,LSY,6287,SYD,3361,,0,SF3 ZL,4178,MEL,3339,ABX,3333,,0,SF3 ZL,4178,MEL,3339,BWT,6338,,0,SF3 ZL,4178,MEL,3339,KNS,6278,,0,SF3 ZL,4178,MEL,3339,MGB,6303,,0,SF3 ZL,4178,MEL,3339,MIM,6294,,0,SF3 ZL,4178,MEL,3339,MQL,6298,,0,SF3 ZL,4178,MEL,3339,WGA,3363,,0,SF3 ZL,4178,MGB,6303,ADL,3341,,0,SF3 ZL,4178,MGB,6303,MEL,3339,,0,SF3 ZL,4178,MIM,6294,MEL,3339,,0,SF3 ZL,4178,MIM,6294,MYA,6302,,0,SF3 ZL,4178,MIM,6294,SYD,3361,,0,SF3 ZL,4178,MQL,6298,ADL,3341,,0,SF3 ZL,4178,MQL,6298,BHQ,6241,,0,SF3 ZL,4178,MQL,6298,MEL,3339,,0,SF3 ZL,4178,MQL,6298,SYD,3361,,0,SF3 ZL,4178,MYA,6302,MIM,6294,,0,SF3 ZL,4178,MYA,6302,SYD,3361,,0,SF3 ZL,4178,NRA,6307,GFF,6271,,0,SF3 ZL,4178,NRA,6307,SYD,3361,,0,SF3 ZL,4178,NTL,4320,BNK,4291,,0,SF3 ZL,4178,NTL,4320,SYD,3361,,0,SF3 ZL,4178,OAG,6793,SYD,3361,,0,SF3 ZL,4178,PKE,6317,BHS,6249,,0,SF3 ZL,4178,PKE,6317,SYD,3361,,0,SF3 ZL,4178,PLO,6318,ADL,3341,,0,SF3 ZL,4178,RCM,9904,JCK,6276,,0,SF3 ZL,4178,SYD,3361,ABX,3333,,0,SF3 ZL,4178,SYD,3361,ARM,4062,,0,SF3 ZL,4178,SYD,3361,BHQ,6241,,0,SF3 ZL,4178,SYD,3361,BHS,6249,,0,SF3 ZL,4178,SYD,3361,BNK,4291,,0,SF3 ZL,4178,SYD,3361,DBO,3358,,0,SF3 ZL,4178,SYD,3361,GFF,6271,,0,SF3 ZL,4178,SYD,3361,LSY,6287,,0,SF3 ZL,4178,SYD,3361,MIM,6294,,0,SF3 ZL,4178,SYD,3361,MQL,6298,,0,SF3 ZL,4178,SYD,3361,MYA,6302,,0,SF3 ZL,4178,SYD,3361,NRA,6307,,0,SF3 ZL,4178,SYD,3361,NTL,4320,,0,SF3 ZL,4178,SYD,3361,OAG,6793,,0,SF3 ZL,4178,SYD,3361,PKE,6317,,0,SF3 ZL,4178,SYD,3361,TRO,6794,,0,SF3 ZL,4178,SYD,3361,WGA,3363,,0,SF3 ZL,4178,TRO,6794,GFN,6792,,0,SF3 ZL,4178,TRO,6794,SYD,3361,,0,SF3 ZL,4178,TSV,3330,ISA,3324,,0,SF3 ZL,4178,TSV,3330,WIN,6337,,0,SF3 ZL,4178,WGA,3363,MEL,3339,,0,SF3 ZL,4178,WGA,3363,SYD,3361,,0,SF3 ZL,4178,WIN,6337,LRE,6289,,0,SF3 ZL,4178,WIN,6337,TSV,3330,,0,SF3 ZL,4178,WYA,6334,ADL,3341,,0,SF3 ZM,19016,DME,4029,FRU,2912,,0,734 ZM,19016,FRU,2912,DME,4029,,0,734 ZM,19016,FRU,2912,OSS,2913,,0,734 ZM,19016,OSS,2913,FRU,2912,,0,734