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11,900 | toastdriven/restless | restless/tnd.py | TornadoResource.as_view | def as_view(cls, view_type, *init_args, **init_kwargs):
"""
Return a subclass of tornado.web.RequestHandler and
apply required setting.
"""
global _method
new_cls = type(
cls.__name__ + '_' + _BridgeMixin.__name__ + '_restless',
(_BridgeMixin, cls... | python | def as_view(cls, view_type, *init_args, **init_kwargs):
"""
Return a subclass of tornado.web.RequestHandler and
apply required setting.
"""
global _method
new_cls = type(
cls.__name__ + '_' + _BridgeMixin.__name__ + '_restless',
(_BridgeMixin, cls... | [
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11,901 | toastdriven/restless | restless/tnd.py | TornadoResource.handle | def handle(self, endpoint, *args, **kwargs):
"""
almost identical to Resource.handle, except
the way we handle the return value of view_method.
"""
method = self.request_method()
try:
if not method in self.http_methods.get(endpoint, {}):
raise... | python | def handle(self, endpoint, *args, **kwargs):
"""
almost identical to Resource.handle, except
the way we handle the return value of view_method.
"""
method = self.request_method()
try:
if not method in self.http_methods.get(endpoint, {}):
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11,902 | toastdriven/restless | restless/preparers.py | FieldsPreparer.prepare | def prepare(self, data):
"""
Handles transforming the provided data into the fielded data that should
be exposed to the end user.
Uses the ``lookup_data`` method to traverse dotted paths.
Returns a dictionary of data as the response.
"""
result = {}
if ... | python | def prepare(self, data):
"""
Handles transforming the provided data into the fielded data that should
be exposed to the end user.
Uses the ``lookup_data`` method to traverse dotted paths.
Returns a dictionary of data as the response.
"""
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11,903 | toastdriven/restless | restless/preparers.py | FieldsPreparer.lookup_data | def lookup_data(self, lookup, data):
"""
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Can work with either dictionary-alikes or objects (or any combination of
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Lookups should be a string. If it is a dotted path, it will be... | python | def lookup_data(self, lookup, data):
"""
Given a lookup string, attempts to descend through nested data looking for
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11,904 | toastdriven/restless | restless/preparers.py | CollectionSubPreparer.prepare | def prepare(self, data):
"""
Handles passing each item in the collection data to the configured
subpreparer.
Uses a loop and the ``get_inner_data`` method to provide the correct
item of the data.
Returns a list of data as the response.
"""
result = []
... | python | def prepare(self, data):
"""
Handles passing each item in the collection data to the configured
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Uses a loop and the ``get_inner_data`` method to provide the correct
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Returns a list of data as the response.
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11,905 | toastdriven/restless | restless/dj.py | DjangoResource.build_url_name | def build_url_name(cls, name, name_prefix=None):
"""
Given a ``name`` & an optional ``name_prefix``, this generates a name
for a URL.
:param name: The name for the URL (ex. 'detail')
:type name: string
:param name_prefix: (Optional) A prefix for the URL's name (for
... | python | def build_url_name(cls, name, name_prefix=None):
"""
Given a ``name`` & an optional ``name_prefix``, this generates a name
for a URL.
:param name: The name for the URL (ex. 'detail')
:type name: string
:param name_prefix: (Optional) A prefix for the URL's name (for
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11,906 | toastdriven/restless | restless/fl.py | FlaskResource.build_endpoint_name | def build_endpoint_name(cls, name, endpoint_prefix=None):
"""
Given a ``name`` & an optional ``endpoint_prefix``, this generates a name
for a URL.
:param name: The name for the URL (ex. 'detail')
:type name: string
:param endpoint_prefix: (Optional) A prefix for the URL... | python | def build_endpoint_name(cls, name, endpoint_prefix=None):
"""
Given a ``name`` & an optional ``endpoint_prefix``, this generates a name
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:param name: The name for the URL (ex. 'detail')
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11,907 | toastdriven/restless | restless/pyr.py | PyramidResource.build_routename | def build_routename(cls, name, routename_prefix=None):
"""
Given a ``name`` & an optional ``routename_prefix``, this generates a
name for a URL.
:param name: The name for the URL (ex. 'detail')
:type name: string
:param routename_prefix: (Optional) A prefix for the URL'... | python | def build_routename(cls, name, routename_prefix=None):
"""
Given a ``name`` & an optional ``routename_prefix``, this generates a
name for a URL.
:param name: The name for the URL (ex. 'detail')
:type name: string
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11,908 | toastdriven/restless | restless/pyr.py | PyramidResource.add_views | def add_views(cls, config, rule_prefix, routename_prefix=None):
"""
A convenience method for registering the routes and views in pyramid.
This automatically adds a list and detail endpoint to your routes.
:param config: The pyramid ``Configurator`` object for your app.
:type co... | python | def add_views(cls, config, rule_prefix, routename_prefix=None):
"""
A convenience method for registering the routes and views in pyramid.
This automatically adds a list and detail endpoint to your routes.
:param config: The pyramid ``Configurator`` object for your app.
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11,909 | toastdriven/restless | restless/serializers.py | JSONSerializer.deserialize | def deserialize(self, body):
"""
The low-level deserialization.
Underpins ``deserialize``, ``deserialize_list`` &
``deserialize_detail``.
Has no built-in smarts, simply loads the JSON.
:param body: The body of the current request
:type body: string
:re... | python | def deserialize(self, body):
"""
The low-level deserialization.
Underpins ``deserialize``, ``deserialize_list`` &
``deserialize_detail``.
Has no built-in smarts, simply loads the JSON.
:param body: The body of the current request
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11,910 | mila-iqia/fuel | fuel/converters/mnist.py | convert_mnist | def convert_mnist(directory, output_directory, output_filename=None,
dtype=None):
"""Converts the MNIST dataset to HDF5.
Converts the MNIST dataset to an HDF5 dataset compatible with
:class:`fuel.datasets.MNIST`. The converted dataset is
saved as 'mnist.hdf5'.
This method assumes... | python | def convert_mnist(directory, output_directory, output_filename=None,
dtype=None):
"""Converts the MNIST dataset to HDF5.
Converts the MNIST dataset to an HDF5 dataset compatible with
:class:`fuel.datasets.MNIST`. The converted dataset is
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11,911 | mila-iqia/fuel | fuel/converters/mnist.py | fill_subparser | def fill_subparser(subparser):
"""Sets up a subparser to convert the MNIST dataset files.
Parameters
----------
subparser : :class:`argparse.ArgumentParser`
Subparser handling the `mnist` command.
"""
subparser.add_argument(
"--dtype", help="dtype to save to; by default, images... | python | def fill_subparser(subparser):
"""Sets up a subparser to convert the MNIST dataset files.
Parameters
----------
subparser : :class:`argparse.ArgumentParser`
Subparser handling the `mnist` command.
"""
subparser.add_argument(
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11,912 | mila-iqia/fuel | fuel/converters/mnist.py | read_mnist_images | def read_mnist_images(filename, dtype=None):
"""Read MNIST images from the original ubyte file format.
Parameters
----------
filename : str
Filename/path from which to read images.
dtype : 'float32', 'float64', or 'bool'
If unspecified, images will be returned in their original
... | python | def read_mnist_images(filename, dtype=None):
"""Read MNIST images from the original ubyte file format.
Parameters
----------
filename : str
Filename/path from which to read images.
dtype : 'float32', 'float64', or 'bool'
If unspecified, images will be returned in their original
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11,913 | mila-iqia/fuel | fuel/converters/mnist.py | read_mnist_labels | def read_mnist_labels(filename):
"""Read MNIST labels from the original ubyte file format.
Parameters
----------
filename : str
Filename/path from which to read labels.
Returns
-------
labels : :class:`~numpy.ndarray`, shape (nlabels, 1)
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"""Read MNIST labels from the original ubyte file format.
Parameters
----------
filename : str
Filename/path from which to read labels.
Returns
-------
labels : :class:`~numpy.ndarray`, shape (nlabels, 1)
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11,914 | mila-iqia/fuel | fuel/converters/ilsvrc2010.py | prepare_hdf5_file | def prepare_hdf5_file(hdf5_file, n_train, n_valid, n_test):
"""Create datasets within a given HDF5 file.
Parameters
----------
hdf5_file : :class:`h5py.File` instance
HDF5 file handle to which to write.
n_train : int
The number of training set examples.
n_valid : int
The... | python | def prepare_hdf5_file(hdf5_file, n_train, n_valid, n_test):
"""Create datasets within a given HDF5 file.
Parameters
----------
hdf5_file : :class:`h5py.File` instance
HDF5 file handle to which to write.
n_train : int
The number of training set examples.
n_valid : int
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11,915 | mila-iqia/fuel | fuel/converters/ilsvrc2010.py | process_train_set | def process_train_set(hdf5_file, train_archive, patch_archive, n_train,
wnid_map, shuffle_seed=None):
"""Process the ILSVRC2010 training set.
Parameters
----------
hdf5_file : :class:`h5py.File` instance
HDF5 file handle to which to write. Assumes `features`, `targets`
... | python | def process_train_set(hdf5_file, train_archive, patch_archive, n_train,
wnid_map, shuffle_seed=None):
"""Process the ILSVRC2010 training set.
Parameters
----------
hdf5_file : :class:`h5py.File` instance
HDF5 file handle to which to write. Assumes `features`, `targets`
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11,916 | mila-iqia/fuel | fuel/converters/ilsvrc2010.py | image_consumer | def image_consumer(socket, hdf5_file, num_expected, shuffle_seed=None,
offset=0):
"""Fill an HDF5 file with incoming images from a socket.
Parameters
----------
socket : :class:`zmq.Socket`
PULL socket on which to receive images.
hdf5_file : :class:`h5py.File` instance
... | python | def image_consumer(socket, hdf5_file, num_expected, shuffle_seed=None,
offset=0):
"""Fill an HDF5 file with incoming images from a socket.
Parameters
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socket : :class:`zmq.Socket`
PULL socket on which to receive images.
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11,917 | mila-iqia/fuel | fuel/converters/ilsvrc2010.py | process_other_set | def process_other_set(hdf5_file, which_set, image_archive, patch_archive,
groundtruth, offset):
"""Process the validation or test set.
Parameters
----------
hdf5_file : :class:`h5py.File` instance
HDF5 file handle to which to write. Assumes `features`, `targets`
an... | python | def process_other_set(hdf5_file, which_set, image_archive, patch_archive,
groundtruth, offset):
"""Process the validation or test set.
Parameters
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hdf5_file : :class:`h5py.File` instance
HDF5 file handle to which to write. Assumes `features`, `targets`
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11,918 | mila-iqia/fuel | fuel/converters/ilsvrc2010.py | load_from_tar_or_patch | def load_from_tar_or_patch(tar, image_filename, patch_images):
"""Do everything necessary to process an image inside a TAR.
Parameters
----------
tar : `TarFile` instance
The tar from which to read `image_filename`.
image_filename : str
Fully-qualified path inside of `tar` from whic... | python | def load_from_tar_or_patch(tar, image_filename, patch_images):
"""Do everything necessary to process an image inside a TAR.
Parameters
----------
tar : `TarFile` instance
The tar from which to read `image_filename`.
image_filename : str
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11,919 | mila-iqia/fuel | fuel/converters/ilsvrc2010.py | read_devkit | def read_devkit(f):
"""Read relevant information from the development kit archive.
Parameters
----------
f : str or file-like object
The filename or file-handle for the gzipped TAR archive
containing the ILSVRC2010 development kit.
Returns
-------
synsets : ndarray, 1-dimen... | python | def read_devkit(f):
"""Read relevant information from the development kit archive.
Parameters
----------
f : str or file-like object
The filename or file-handle for the gzipped TAR archive
containing the ILSVRC2010 development kit.
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11,920 | mila-iqia/fuel | fuel/converters/ilsvrc2010.py | extract_patch_images | def extract_patch_images(f, which_set):
"""Extracts a dict of the "patch images" for ILSVRC2010.
Parameters
----------
f : str or file-like object
The filename or file-handle to the patch images TAR file.
which_set : str
Which set of images to extract. One of 'train', 'valid', 'test... | python | def extract_patch_images(f, which_set):
"""Extracts a dict of the "patch images" for ILSVRC2010.
Parameters
----------
f : str or file-like object
The filename or file-handle to the patch images TAR file.
which_set : str
Which set of images to extract. One of 'train', 'valid', 'test... | [
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11,921 | mila-iqia/fuel | fuel/converters/cifar10.py | convert_cifar10 | def convert_cifar10(directory, output_directory,
output_filename='cifar10.hdf5'):
"""Converts the CIFAR-10 dataset to HDF5.
Converts the CIFAR-10 dataset to an HDF5 dataset compatible with
:class:`fuel.datasets.CIFAR10`. The converted dataset is saved as
'cifar10.hdf5'.
It assu... | python | def convert_cifar10(directory, output_directory,
output_filename='cifar10.hdf5'):
"""Converts the CIFAR-10 dataset to HDF5.
Converts the CIFAR-10 dataset to an HDF5 dataset compatible with
:class:`fuel.datasets.CIFAR10`. The converted dataset is saved as
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11,922 | mila-iqia/fuel | fuel/converters/base.py | check_exists | def check_exists(required_files):
"""Decorator that checks if required files exist before running.
Parameters
----------
required_files : list of str
A list of strings indicating the filenames of regular files
(not directories) that should be found in the input directory
(which ... | python | def check_exists(required_files):
"""Decorator that checks if required files exist before running.
Parameters
----------
required_files : list of str
A list of strings indicating the filenames of regular files
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11,923 | mila-iqia/fuel | fuel/converters/base.py | fill_hdf5_file | def fill_hdf5_file(h5file, data):
"""Fills an HDF5 file in a H5PYDataset-compatible manner.
Parameters
----------
h5file : :class:`h5py.File`
File handle for an HDF5 file.
data : tuple of tuple
One element per split/source pair. Each element consists of a
tuple of (split_nam... | python | def fill_hdf5_file(h5file, data):
"""Fills an HDF5 file in a H5PYDataset-compatible manner.
Parameters
----------
h5file : :class:`h5py.File`
File handle for an HDF5 file.
data : tuple of tuple
One element per split/source pair. Each element consists of a
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11,924 | mila-iqia/fuel | fuel/converters/base.py | progress_bar | def progress_bar(name, maxval, prefix='Converting'):
"""Manages a progress bar for a conversion.
Parameters
----------
name : str
Name of the file being converted.
maxval : int
Total number of steps for the conversion.
"""
widgets = ['{} {}: '.format(prefix, name), Percenta... | python | def progress_bar(name, maxval, prefix='Converting'):
"""Manages a progress bar for a conversion.
Parameters
----------
name : str
Name of the file being converted.
maxval : int
Total number of steps for the conversion.
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11,925 | mila-iqia/fuel | fuel/converters/iris.py | convert_iris | def convert_iris(directory, output_directory, output_filename='iris.hdf5'):
"""Convert the Iris dataset to HDF5.
Converts the Iris dataset to an HDF5 dataset compatible with
:class:`fuel.datasets.Iris`. The converted dataset is
saved as 'iris.hdf5'.
This method assumes the existence of the file `ir... | python | def convert_iris(directory, output_directory, output_filename='iris.hdf5'):
"""Convert the Iris dataset to HDF5.
Converts the Iris dataset to an HDF5 dataset compatible with
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11,926 | mila-iqia/fuel | fuel/downloaders/ilsvrc2012.py | fill_subparser | def fill_subparser(subparser):
"""Sets up a subparser to download the ILSVRC2012 dataset files.
Note that you will need to use `--url-prefix` to download the
non-public files (namely, the TARs of images). This is a single
prefix that is common to all distributed files, which you can
obtain by regis... | python | def fill_subparser(subparser):
"""Sets up a subparser to download the ILSVRC2012 dataset files.
Note that you will need to use `--url-prefix` to download the
non-public files (namely, the TARs of images). This is a single
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11,927 | mila-iqia/fuel | fuel/transformers/sequences.py | Window._get_target_index | def _get_target_index(self):
"""Return the index where the target window starts."""
return (self.index + self.source_window * (not self.overlapping) +
self.offset) | python | def _get_target_index(self):
"""Return the index where the target window starts."""
return (self.index + self.source_window * (not self.overlapping) +
self.offset) | [
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11,928 | mila-iqia/fuel | fuel/transformers/sequences.py | Window._get_end_index | def _get_end_index(self):
"""Return the end of both windows."""
return max(self.index + self.source_window,
self._get_target_index() + self.target_window) | python | def _get_end_index(self):
"""Return the end of both windows."""
return max(self.index + self.source_window,
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11,929 | mila-iqia/fuel | fuel/converters/svhn.py | convert_svhn | def convert_svhn(which_format, directory, output_directory,
output_filename=None):
"""Converts the SVHN dataset to HDF5.
Converts the SVHN dataset [SVHN] to an HDF5 dataset compatible
with :class:`fuel.datasets.SVHN`. The converted dataset is
saved as 'svhn_format_1.hdf5' or 'svhn_form... | python | def convert_svhn(which_format, directory, output_directory,
output_filename=None):
"""Converts the SVHN dataset to HDF5.
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11,930 | mila-iqia/fuel | fuel/utils/formats.py | open_ | def open_(filename, mode='r', encoding=None):
"""Open a text file with encoding and optional gzip compression.
Note that on legacy Python any encoding other than ``None`` or opening
GZipped files will return an unpicklable file-like object.
Parameters
----------
filename : str
The file... | python | def open_(filename, mode='r', encoding=None):
"""Open a text file with encoding and optional gzip compression.
Note that on legacy Python any encoding other than ``None`` or opening
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11,931 | mila-iqia/fuel | fuel/utils/formats.py | tar_open | def tar_open(f):
"""Open either a filename or a file-like object as a TarFile.
Parameters
----------
f : str or file-like object
The filename or file-like object from which to read.
Returns
-------
TarFile
A `TarFile` instance.
"""
if isinstance(f, six.string_types... | python | def tar_open(f):
"""Open either a filename or a file-like object as a TarFile.
Parameters
----------
f : str or file-like object
The filename or file-like object from which to read.
Returns
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A `TarFile` instance.
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11,932 | mila-iqia/fuel | fuel/utils/cache.py | copy_from_server_to_local | def copy_from_server_to_local(dataset_remote_dir, dataset_local_dir,
remote_fname, local_fname):
"""Copies a remote file locally.
Parameters
----------
remote_fname : str
Remote file to copy
local_fname : str
Path and name of the local copy to be made o... | python | def copy_from_server_to_local(dataset_remote_dir, dataset_local_dir,
remote_fname, local_fname):
"""Copies a remote file locally.
Parameters
----------
remote_fname : str
Remote file to copy
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11,933 | mila-iqia/fuel | fuel/converters/adult.py | convert_to_one_hot | def convert_to_one_hot(y):
"""
converts y into one hot reprsentation.
Parameters
----------
y : list
A list containing continous integer values.
Returns
-------
one_hot : numpy.ndarray
A numpy.ndarray object, which is one-hot representation of y.
"""
max_value ... | python | def convert_to_one_hot(y):
"""
converts y into one hot reprsentation.
Parameters
----------
y : list
A list containing continous integer values.
Returns
-------
one_hot : numpy.ndarray
A numpy.ndarray object, which is one-hot representation of y.
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11,934 | mila-iqia/fuel | fuel/converters/binarized_mnist.py | convert_binarized_mnist | def convert_binarized_mnist(directory, output_directory,
output_filename='binarized_mnist.hdf5'):
"""Converts the binarized MNIST dataset to HDF5.
Converts the binarized MNIST dataset used in R. Salakhutdinov's DBN
paper [DBN] to an HDF5 dataset compatible with
:class:`fuel.... | python | def convert_binarized_mnist(directory, output_directory,
output_filename='binarized_mnist.hdf5'):
"""Converts the binarized MNIST dataset to HDF5.
Converts the binarized MNIST dataset used in R. Salakhutdinov's DBN
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11,935 | mila-iqia/fuel | fuel/downloaders/cifar10.py | fill_subparser | def fill_subparser(subparser):
"""Sets up a subparser to download the CIFAR-10 dataset file.
The CIFAR-10 dataset file is downloaded from Alex Krizhevsky's
website [ALEX].
Parameters
----------
subparser : :class:`argparse.ArgumentParser`
Subparser handling the `cifar10` command.
... | python | def fill_subparser(subparser):
"""Sets up a subparser to download the CIFAR-10 dataset file.
The CIFAR-10 dataset file is downloaded from Alex Krizhevsky's
website [ALEX].
Parameters
----------
subparser : :class:`argparse.ArgumentParser`
Subparser handling the `cifar10` command.
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11,936 | mila-iqia/fuel | fuel/converters/celeba.py | convert_celeba_aligned_cropped | def convert_celeba_aligned_cropped(directory, output_directory,
output_filename=OUTPUT_FILENAME):
"""Converts the aligned and cropped CelebA dataset to HDF5.
Converts the CelebA dataset to an HDF5 dataset compatible with
:class:`fuel.datasets.CelebA`. The converted datase... | python | def convert_celeba_aligned_cropped(directory, output_directory,
output_filename=OUTPUT_FILENAME):
"""Converts the aligned and cropped CelebA dataset to HDF5.
Converts the CelebA dataset to an HDF5 dataset compatible with
:class:`fuel.datasets.CelebA`. The converted datase... | [
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11,937 | mila-iqia/fuel | fuel/converters/celeba.py | convert_celeba | def convert_celeba(which_format, directory, output_directory,
output_filename=None):
"""Converts the CelebA dataset to HDF5.
Converts the CelebA dataset to an HDF5 dataset compatible with
:class:`fuel.datasets.CelebA`. The converted dataset is
saved as 'celeba_aligned_cropped.hdf5' o... | python | def convert_celeba(which_format, directory, output_directory,
output_filename=None):
"""Converts the CelebA dataset to HDF5.
Converts the CelebA dataset to an HDF5 dataset compatible with
:class:`fuel.datasets.CelebA`. The converted dataset is
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11,938 | mila-iqia/fuel | fuel/utils/disk.py | disk_usage | def disk_usage(path):
"""Return free usage about the given path, in bytes.
Parameters
----------
path : str
Folder for which to return disk usage
Returns
-------
output : tuple
Tuple containing total space in the folder and currently
used space in the folder
""... | python | def disk_usage(path):
"""Return free usage about the given path, in bytes.
Parameters
----------
path : str
Folder for which to return disk usage
Returns
-------
output : tuple
Tuple containing total space in the folder and currently
used space in the folder
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11,939 | mila-iqia/fuel | fuel/utils/disk.py | safe_mkdir | def safe_mkdir(folder_name, force_perm=None):
"""Create the specified folder.
If the parent folders do not exist, they are also created.
If the folder already exists, nothing is done.
Parameters
----------
folder_name : str
Name of the folder to create.
force_perm : str
Mod... | python | def safe_mkdir(folder_name, force_perm=None):
"""Create the specified folder.
If the parent folders do not exist, they are also created.
If the folder already exists, nothing is done.
Parameters
----------
folder_name : str
Name of the folder to create.
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11,940 | mila-iqia/fuel | fuel/utils/disk.py | check_enough_space | def check_enough_space(dataset_local_dir, remote_fname, local_fname,
max_disk_usage=0.9):
"""Check if the given local folder has enough space.
Check if the given local folder has enough space to store
the specified remote file.
Parameters
----------
remote_fname : str
... | python | def check_enough_space(dataset_local_dir, remote_fname, local_fname,
max_disk_usage=0.9):
"""Check if the given local folder has enough space.
Check if the given local folder has enough space to store
the specified remote file.
Parameters
----------
remote_fname : str
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11,941 | mila-iqia/fuel | fuel/converters/cifar100.py | convert_cifar100 | def convert_cifar100(directory, output_directory,
output_filename='cifar100.hdf5'):
"""Converts the CIFAR-100 dataset to HDF5.
Converts the CIFAR-100 dataset to an HDF5 dataset compatible with
:class:`fuel.datasets.CIFAR100`. The converted dataset is saved as
'cifar100.hdf5'.
... | python | def convert_cifar100(directory, output_directory,
output_filename='cifar100.hdf5'):
"""Converts the CIFAR-100 dataset to HDF5.
Converts the CIFAR-100 dataset to an HDF5 dataset compatible with
:class:`fuel.datasets.CIFAR100`. The converted dataset is saved as
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11,942 | mila-iqia/fuel | fuel/transformers/__init__.py | ExpectsAxisLabels.verify_axis_labels | def verify_axis_labels(self, expected, actual, source_name):
"""Verify that axis labels for a given source are as expected.
Parameters
----------
expected : tuple
A tuple of strings representing the expected axis labels.
actual : tuple or None
A tuple of ... | python | def verify_axis_labels(self, expected, actual, source_name):
"""Verify that axis labels for a given source are as expected.
Parameters
----------
expected : tuple
A tuple of strings representing the expected axis labels.
actual : tuple or None
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11,943 | mila-iqia/fuel | fuel/transformers/__init__.py | Batch.get_data | def get_data(self, request=None):
"""Get data from the dataset."""
if request is None:
raise ValueError
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11,944 | mila-iqia/fuel | fuel/utils/parallel.py | _producer_wrapper | def _producer_wrapper(f, port, addr='tcp://127.0.0.1'):
"""A shim that sets up a socket and starts the producer callable.
Parameters
----------
f : callable
Callable that takes a single argument, a handle
for a ZeroMQ PUSH socket. Must be picklable.
port : int
The port on wh... | python | def _producer_wrapper(f, port, addr='tcp://127.0.0.1'):
"""A shim that sets up a socket and starts the producer callable.
Parameters
----------
f : callable
Callable that takes a single argument, a handle
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11,945 | mila-iqia/fuel | fuel/utils/parallel.py | _spawn_producer | def _spawn_producer(f, port, addr='tcp://127.0.0.1'):
"""Start a process that sends results on a PUSH socket.
Parameters
----------
f : callable
Callable that takes a single argument, a handle
for a ZeroMQ PUSH socket. Must be picklable.
Returns
-------
process : multiproce... | python | def _spawn_producer(f, port, addr='tcp://127.0.0.1'):
"""Start a process that sends results on a PUSH socket.
Parameters
----------
f : callable
Callable that takes a single argument, a handle
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11,946 | mila-iqia/fuel | fuel/utils/parallel.py | producer_consumer | def producer_consumer(producer, consumer, addr='tcp://127.0.0.1',
port=None, context=None):
"""A producer-consumer pattern.
Parameters
----------
producer : callable
Callable that takes a single argument, a handle
for a ZeroMQ PUSH socket. Must be picklable.
co... | python | def producer_consumer(producer, consumer, addr='tcp://127.0.0.1',
port=None, context=None):
"""A producer-consumer pattern.
Parameters
----------
producer : callable
Callable that takes a single argument, a handle
for a ZeroMQ PUSH socket. Must be picklable.
co... | [
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11,947 | mila-iqia/fuel | fuel/converters/dogs_vs_cats.py | convert_dogs_vs_cats | def convert_dogs_vs_cats(directory, output_directory,
output_filename='dogs_vs_cats.hdf5'):
"""Converts the Dogs vs. Cats dataset to HDF5.
Converts the Dogs vs. Cats dataset to an HDF5 dataset compatible with
:class:`fuel.datasets.dogs_vs_cats`. The converted dataset is saved as
... | python | def convert_dogs_vs_cats(directory, output_directory,
output_filename='dogs_vs_cats.hdf5'):
"""Converts the Dogs vs. Cats dataset to HDF5.
Converts the Dogs vs. Cats dataset to an HDF5 dataset compatible with
:class:`fuel.datasets.dogs_vs_cats`. The converted dataset is saved as
... | [
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11,948 | mila-iqia/fuel | fuel/bin/fuel_download.py | main | def main(args=None):
"""Entry point for `fuel-download` script.
This function can also be imported and used from Python.
Parameters
----------
args : iterable, optional (default: None)
A list of arguments that will be passed to Fuel's downloading
utility. If this argument is not sp... | python | def main(args=None):
"""Entry point for `fuel-download` script.
This function can also be imported and used from Python.
Parameters
----------
args : iterable, optional (default: None)
A list of arguments that will be passed to Fuel's downloading
utility. If this argument is not sp... | [
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11,949 | mila-iqia/fuel | fuel/downloaders/mnist.py | fill_subparser | def fill_subparser(subparser):
"""Sets up a subparser to download the MNIST dataset files.
The following MNIST dataset files are downloaded from Yann LeCun's
website [LECUN]:
`train-images-idx3-ubyte.gz`, `train-labels-idx1-ubyte.gz`,
`t10k-images-idx3-ubyte.gz`, `t10k-labels-idx1-ubyte.gz`.
P... | python | def fill_subparser(subparser):
"""Sets up a subparser to download the MNIST dataset files.
The following MNIST dataset files are downloaded from Yann LeCun's
website [LECUN]:
`train-images-idx3-ubyte.gz`, `train-labels-idx1-ubyte.gz`,
`t10k-images-idx3-ubyte.gz`, `t10k-labels-idx1-ubyte.gz`.
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`train-images-idx3-ubyte.gz`, `train-labels-idx1-ubyte.gz`,
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11,950 | mila-iqia/fuel | fuel/bin/fuel_info.py | main | def main(args=None):
"""Entry point for `fuel-info` script.
This function can also be imported and used from Python.
Parameters
----------
args : iterable, optional (default: None)
A list of arguments that will be passed to Fuel's information
utility. If this argument is not specif... | python | def main(args=None):
"""Entry point for `fuel-info` script.
This function can also be imported and used from Python.
Parameters
----------
args : iterable, optional (default: None)
A list of arguments that will be passed to Fuel's information
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11,951 | mila-iqia/fuel | fuel/converters/caltech101_silhouettes.py | convert_silhouettes | def convert_silhouettes(size, directory, output_directory,
output_filename=None):
""" Convert the CalTech 101 Silhouettes Datasets.
Parameters
----------
size : {16, 28}
Convert either the 16x16 or 28x28 sized version of the dataset.
directory : str
Directory... | python | def convert_silhouettes(size, directory, output_directory,
output_filename=None):
""" Convert the CalTech 101 Silhouettes Datasets.
Parameters
----------
size : {16, 28}
Convert either the 16x16 or 28x28 sized version of the dataset.
directory : str
Directory... | [
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11,952 | mila-iqia/fuel | fuel/schemes.py | cross_validation | def cross_validation(scheme_class, num_examples, num_folds, strict=True,
**kwargs):
"""Return pairs of schemes to be used for cross-validation.
Parameters
----------
scheme_class : subclass of :class:`IndexScheme` or :class:`BatchScheme`
The type of the returned schemes. Th... | python | def cross_validation(scheme_class, num_examples, num_folds, strict=True,
**kwargs):
"""Return pairs of schemes to be used for cross-validation.
Parameters
----------
scheme_class : subclass of :class:`IndexScheme` or :class:`BatchScheme`
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11,953 | mila-iqia/fuel | fuel/bin/fuel_convert.py | main | def main(args=None):
"""Entry point for `fuel-convert` script.
This function can also be imported and used from Python.
Parameters
----------
args : iterable, optional (default: None)
A list of arguments that will be passed to Fuel's conversion
utility. If this argument is not spec... | python | def main(args=None):
"""Entry point for `fuel-convert` script.
This function can also be imported and used from Python.
Parameters
----------
args : iterable, optional (default: None)
A list of arguments that will be passed to Fuel's conversion
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11,954 | mila-iqia/fuel | fuel/utils/lock.py | refresh_lock | def refresh_lock(lock_file):
"""'Refresh' an existing lock.
'Refresh' an existing lock by re-writing the file containing the
owner's unique id, using a new (randomly generated) id, which is also
returned.
"""
unique_id = '%s_%s_%s' % (
os.getpid(),
''.join([str(random.randint(0... | python | def refresh_lock(lock_file):
"""'Refresh' an existing lock.
'Refresh' an existing lock by re-writing the file containing the
owner's unique id, using a new (randomly generated) id, which is also
returned.
"""
unique_id = '%s_%s_%s' % (
os.getpid(),
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11,955 | mila-iqia/fuel | fuel/utils/lock.py | get_lock | def get_lock(lock_dir, **kw):
"""Obtain lock on compilation directory.
Parameters
----------
lock_dir : str
Lock directory.
kw : dict
Additional arguments to be forwarded to the `lock` function when
acquiring the lock.
Notes
-----
We can lock only on 1 directory... | python | def get_lock(lock_dir, **kw):
"""Obtain lock on compilation directory.
Parameters
----------
lock_dir : str
Lock directory.
kw : dict
Additional arguments to be forwarded to the `lock` function when
acquiring the lock.
Notes
-----
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11,956 | mila-iqia/fuel | fuel/utils/lock.py | release_lock | def release_lock():
"""Release lock on compilation directory."""
get_lock.n_lock -= 1
assert get_lock.n_lock >= 0
# Only really release lock once all lock requests have ended.
if get_lock.lock_is_enabled and get_lock.n_lock == 0:
get_lock.start_time = None
get_lock.unlocker.unlock() | python | def release_lock():
"""Release lock on compilation directory."""
get_lock.n_lock -= 1
assert get_lock.n_lock >= 0
# Only really release lock once all lock requests have ended.
if get_lock.lock_is_enabled and get_lock.n_lock == 0:
get_lock.start_time = None
get_lock.unlocker.unlock() | [
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11,957 | mila-iqia/fuel | fuel/utils/lock.py | release_readlock | def release_readlock(lockdir_name):
"""Release a previously obtained readlock.
Parameters
----------
lockdir_name : str
Name of the previously obtained readlock
"""
# Make sure the lock still exists before deleting it
if os.path.exists(lockdir_name) and os.path.isdir(lockdir_name):... | python | def release_readlock(lockdir_name):
"""Release a previously obtained readlock.
Parameters
----------
lockdir_name : str
Name of the previously obtained readlock
"""
# Make sure the lock still exists before deleting it
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11,958 | mila-iqia/fuel | fuel/utils/lock.py | get_readlock | def get_readlock(pid, path):
"""Obtain a readlock on a file.
Parameters
----------
path : str
Name of the file on which to obtain a readlock
"""
timestamp = int(time.time() * 1e6)
lockdir_name = "%s.readlock.%i.%i" % (path, pid, timestamp)
os.mkdir(lockdir_name)
# Register... | python | def get_readlock(pid, path):
"""Obtain a readlock on a file.
Parameters
----------
path : str
Name of the file on which to obtain a readlock
"""
timestamp = int(time.time() * 1e6)
lockdir_name = "%s.readlock.%i.%i" % (path, pid, timestamp)
os.mkdir(lockdir_name)
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11,959 | mila-iqia/fuel | fuel/utils/lock.py | Unlocker.unlock | def unlock(self):
"""Remove current lock.
This function does not crash if it is unable to properly
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should be allowed for multiple jobs running in parallel to
unlock the same directory at the same time (e.g. when reaching
... | python | def unlock(self):
"""Remove current lock.
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11,960 | mila-iqia/fuel | fuel/downloaders/base.py | filename_from_url | def filename_from_url(url, path=None):
"""Parses a URL to determine a file name.
Parameters
----------
url : str
URL to parse.
"""
r = requests.get(url, stream=True)
if 'Content-Disposition' in r.headers:
filename = re.findall(r'filename=([^;]+)',
... | python | def filename_from_url(url, path=None):
"""Parses a URL to determine a file name.
Parameters
----------
url : str
URL to parse.
"""
r = requests.get(url, stream=True)
if 'Content-Disposition' in r.headers:
filename = re.findall(r'filename=([^;]+)',
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11,961 | mila-iqia/fuel | fuel/downloaders/base.py | download | def download(url, file_handle, chunk_size=1024):
"""Downloads a given URL to a specific file.
Parameters
----------
url : str
URL to download.
file_handle : file
Where to save the downloaded URL.
"""
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"""Downloads a given URL to a specific file.
Parameters
----------
url : str
URL to download.
file_handle : file
Where to save the downloaded URL.
"""
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11,962 | mila-iqia/fuel | fuel/downloaders/base.py | default_downloader | def default_downloader(directory, urls, filenames, url_prefix=None,
clear=False):
"""Downloads or clears files from URLs and filenames.
Parameters
----------
directory : str
The directory in which downloaded files are saved.
urls : list
A list of URLs to downl... | python | def default_downloader(directory, urls, filenames, url_prefix=None,
clear=False):
"""Downloads or clears files from URLs and filenames.
Parameters
----------
directory : str
The directory in which downloaded files are saved.
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11,963 | mila-iqia/fuel | fuel/utils/__init__.py | find_in_data_path | def find_in_data_path(filename):
"""Searches for a file within Fuel's data path.
This function loops over all paths defined in Fuel's data path and
returns the first path in which the file is found.
Parameters
----------
filename : str
Name of the file to find.
Returns
-------... | python | def find_in_data_path(filename):
"""Searches for a file within Fuel's data path.
This function loops over all paths defined in Fuel's data path and
returns the first path in which the file is found.
Parameters
----------
filename : str
Name of the file to find.
Returns
-------... | [
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11,964 | mila-iqia/fuel | fuel/utils/__init__.py | lazy_property_factory | def lazy_property_factory(lazy_property):
"""Create properties that perform lazy loading of attributes."""
def lazy_property_getter(self):
if not hasattr(self, '_' + lazy_property):
self.load()
if not hasattr(self, '_' + lazy_property):
raise ValueError("{} wasn't loaded"... | python | def lazy_property_factory(lazy_property):
"""Create properties that perform lazy loading of attributes."""
def lazy_property_getter(self):
if not hasattr(self, '_' + lazy_property):
self.load()
if not hasattr(self, '_' + lazy_property):
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11,965 | mila-iqia/fuel | fuel/utils/__init__.py | do_not_pickle_attributes | def do_not_pickle_attributes(*lazy_properties):
r"""Decorator to assign non-pickable properties.
Used to assign properties which will not be pickled on some class.
This decorator creates a series of properties whose values won't be
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11,966 | mila-iqia/fuel | fuel/utils/__init__.py | Subset.sorted_fancy_indexing | def sorted_fancy_indexing(indexable, request):
"""Safe fancy indexing.
Some objects, such as h5py datasets, only support list indexing
if the list is sorted.
This static method adds support for unsorted list indexing by
sorting the requested indices, accessing the corresponding... | python | def sorted_fancy_indexing(indexable, request):
"""Safe fancy indexing.
Some objects, such as h5py datasets, only support list indexing
if the list is sorted.
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11,967 | mila-iqia/fuel | fuel/utils/__init__.py | Subset.slice_to_numerical_args | def slice_to_numerical_args(slice_, num_examples):
"""Translate a slice's attributes into numerical attributes.
Parameters
----------
slice_ : :class:`slice`
Slice for which numerical attributes are wanted.
num_examples : int
Number of examples in the ind... | python | def slice_to_numerical_args(slice_, num_examples):
"""Translate a slice's attributes into numerical attributes.
Parameters
----------
slice_ : :class:`slice`
Slice for which numerical attributes are wanted.
num_examples : int
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11,968 | mila-iqia/fuel | fuel/utils/__init__.py | Subset.get_list_representation | def get_list_representation(self):
"""Returns this subset's representation as a list of indices."""
if self.is_list:
return self.list_or_slice
else:
return self[list(range(self.num_examples))] | python | def get_list_representation(self):
"""Returns this subset's representation as a list of indices."""
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11,969 | mila-iqia/fuel | fuel/utils/__init__.py | Subset.index_within_subset | def index_within_subset(self, indexable, subset_request,
sort_indices=False):
"""Index an indexable object within the context of this subset.
Parameters
----------
indexable : indexable object
The object to index through.
subset_request : ... | python | def index_within_subset(self, indexable, subset_request,
sort_indices=False):
"""Index an indexable object within the context of this subset.
Parameters
----------
indexable : indexable object
The object to index through.
subset_request : ... | [
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11,970 | mila-iqia/fuel | fuel/utils/__init__.py | Subset.num_examples | def num_examples(self):
"""The number of examples this subset spans."""
if self.is_list:
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else:
start, stop, step = self.slice_to_numerical_args(
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return stop - start | python | def num_examples(self):
"""The number of examples this subset spans."""
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11,971 | mila-iqia/fuel | fuel/streams.py | DataStream.get_epoch_iterator | def get_epoch_iterator(self, **kwargs):
"""Get an epoch iterator for the data stream."""
if not self._fresh_state:
self.next_epoch()
else:
self._fresh_state = False
return super(DataStream, self).get_epoch_iterator(**kwargs) | python | def get_epoch_iterator(self, **kwargs):
"""Get an epoch iterator for the data stream."""
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else:
self._fresh_state = False
return super(DataStream, self).get_epoch_iterator(**kwargs) | [
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11,972 | mila-iqia/fuel | fuel/downloaders/binarized_mnist.py | fill_subparser | def fill_subparser(subparser):
"""Sets up a subparser to download the binarized MNIST dataset files.
The binarized MNIST dataset files
(`binarized_mnist_{train,valid,test}.amat`) are downloaded from
Hugo Larochelle's website [HUGO].
.. [HUGO] http://www.cs.toronto.edu/~larocheh/public/datasets/
... | python | def fill_subparser(subparser):
"""Sets up a subparser to download the binarized MNIST dataset files.
The binarized MNIST dataset files
(`binarized_mnist_{train,valid,test}.amat`) are downloaded from
Hugo Larochelle's website [HUGO].
.. [HUGO] http://www.cs.toronto.edu/~larocheh/public/datasets/
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11,973 | mila-iqia/fuel | fuel/downloaders/youtube_audio.py | download | def download(directory, youtube_id, clear=False):
"""Download the audio of a YouTube video.
The audio is downloaded in the highest available quality. Progress is
printed to `stdout`. The file is named `youtube_id.m4a`, where
`youtube_id` is the 11-character code identifiying the YouTube video
(can ... | python | def download(directory, youtube_id, clear=False):
"""Download the audio of a YouTube video.
The audio is downloaded in the highest available quality. Progress is
printed to `stdout`. The file is named `youtube_id.m4a`, where
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11,974 | mila-iqia/fuel | fuel/downloaders/youtube_audio.py | fill_subparser | def fill_subparser(subparser):
"""Sets up a subparser to download audio of YouTube videos.
Adds the compulsory `--youtube-id` flag.
Parameters
----------
subparser : :class:`argparse.ArgumentParser`
Subparser handling the `youtube_audio` command.
"""
subparser.add_argument(
... | python | def fill_subparser(subparser):
"""Sets up a subparser to download audio of YouTube videos.
Adds the compulsory `--youtube-id` flag.
Parameters
----------
subparser : :class:`argparse.ArgumentParser`
Subparser handling the `youtube_audio` command.
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11,975 | mila-iqia/fuel | fuel/converters/youtube_audio.py | convert_youtube_audio | def convert_youtube_audio(directory, output_directory, youtube_id, channels,
sample, output_filename=None):
"""Converts downloaded YouTube audio to HDF5 format.
Requires `ffmpeg` to be installed and available on the command line
(i.e. available on your `PATH`).
Parameters
... | python | def convert_youtube_audio(directory, output_directory, youtube_id, channels,
sample, output_filename=None):
"""Converts downloaded YouTube audio to HDF5 format.
Requires `ffmpeg` to be installed and available on the command line
(i.e. available on your `PATH`).
Parameters
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11,976 | mila-iqia/fuel | fuel/converters/youtube_audio.py | fill_subparser | def fill_subparser(subparser):
"""Sets up a subparser to convert YouTube audio files.
Adds the compulsory `--youtube-id` flag as well as the optional
`sample` and `channels` flags.
Parameters
----------
subparser : :class:`argparse.ArgumentParser`
Subparser handling the `youtube_audio`... | python | def fill_subparser(subparser):
"""Sets up a subparser to convert YouTube audio files.
Adds the compulsory `--youtube-id` flag as well as the optional
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Parameters
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subparser : :class:`argparse.ArgumentParser`
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11,977 | mila-iqia/fuel | fuel/converters/ilsvrc2012.py | convert_ilsvrc2012 | def convert_ilsvrc2012(directory, output_directory,
output_filename='ilsvrc2012.hdf5',
shuffle_seed=config.default_seed):
"""Converter for data from the ILSVRC 2012 competition.
Source files for this dataset can be obtained by registering at
[ILSVRC2012WEB].
... | python | def convert_ilsvrc2012(directory, output_directory,
output_filename='ilsvrc2012.hdf5',
shuffle_seed=config.default_seed):
"""Converter for data from the ILSVRC 2012 competition.
Source files for this dataset can be obtained by registering at
[ILSVRC2012WEB].
... | [
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11,978 | mila-iqia/fuel | fuel/converters/ilsvrc2012.py | fill_subparser | def fill_subparser(subparser):
"""Sets up a subparser to convert the ILSVRC2012 dataset files.
Parameters
----------
subparser : :class:`argparse.ArgumentParser`
Subparser handling the `ilsvrc2012` command.
"""
subparser.add_argument(
"--shuffle-seed", help="Seed to use for ran... | python | def fill_subparser(subparser):
"""Sets up a subparser to convert the ILSVRC2012 dataset files.
Parameters
----------
subparser : :class:`argparse.ArgumentParser`
Subparser handling the `ilsvrc2012` command.
"""
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11,979 | mila-iqia/fuel | fuel/converters/ilsvrc2012.py | read_metadata_mat_file | def read_metadata_mat_file(meta_mat):
"""Read ILSVRC2012 metadata from the distributed MAT file.
Parameters
----------
meta_mat : str or file-like object
The filename or file-handle for `meta.mat` from the
ILSVRC2012 development kit.
Returns
-------
synsets : ndarray, 1-dim... | python | def read_metadata_mat_file(meta_mat):
"""Read ILSVRC2012 metadata from the distributed MAT file.
Parameters
----------
meta_mat : str or file-like object
The filename or file-handle for `meta.mat` from the
ILSVRC2012 development kit.
Returns
-------
synsets : ndarray, 1-dim... | [
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11,980 | mila-iqia/fuel | fuel/config_parser.py | multiple_paths_parser | def multiple_paths_parser(value):
"""Parses data_path argument.
Parameters
----------
value : str
a string of data paths separated by ":".
Returns
-------
value : list
a list of strings indicating each data paths.
"""
if isinstance(value, six.string_types):
... | python | def multiple_paths_parser(value):
"""Parses data_path argument.
Parameters
----------
value : str
a string of data paths separated by ":".
Returns
-------
value : list
a list of strings indicating each data paths.
"""
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11,981 | mila-iqia/fuel | fuel/config_parser.py | Configuration.add_config | def add_config(self, key, type_, default=NOT_SET, env_var=None):
"""Add a configuration setting.
Parameters
----------
key : str
The name of the configuration setting. This must be a valid
Python attribute name i.e. alphanumeric with underscores.
type : f... | python | def add_config(self, key, type_, default=NOT_SET, env_var=None):
"""Add a configuration setting.
Parameters
----------
key : str
The name of the configuration setting. This must be a valid
Python attribute name i.e. alphanumeric with underscores.
type : f... | [
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11,982 | mila-iqia/fuel | fuel/server.py | send_arrays | def send_arrays(socket, arrays, stop=False):
"""Send NumPy arrays using the buffer interface and some metadata.
Parameters
----------
socket : :class:`zmq.Socket`
The socket to send data over.
arrays : list
A list of :class:`numpy.ndarray` to transfer.
stop : bool, optional
... | python | def send_arrays(socket, arrays, stop=False):
"""Send NumPy arrays using the buffer interface and some metadata.
Parameters
----------
socket : :class:`zmq.Socket`
The socket to send data over.
arrays : list
A list of :class:`numpy.ndarray` to transfer.
stop : bool, optional
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11,983 | mila-iqia/fuel | fuel/server.py | recv_arrays | def recv_arrays(socket):
"""Receive a list of NumPy arrays.
Parameters
----------
socket : :class:`zmq.Socket`
The socket to receive the arrays on.
Returns
-------
list
A list of :class:`numpy.ndarray` objects.
Raises
------
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"""Receive a list of NumPy arrays.
Parameters
----------
socket : :class:`zmq.Socket`
The socket to receive the arrays on.
Returns
-------
list
A list of :class:`numpy.ndarray` objects.
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11,984 | mila-iqia/fuel | fuel/server.py | start_server | def start_server(data_stream, port=5557, hwm=10):
"""Start a data processing server.
This command starts a server in the current process that performs the
actual data processing (by retrieving data from the given data stream).
It also starts a second process, the broker, which mediates between the
... | python | def start_server(data_stream, port=5557, hwm=10):
"""Start a data processing server.
This command starts a server in the current process that performs the
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It also starts a second process, the broker, which mediates between the
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11,985 | apacha/OMR-Datasets | omrdatasettools/image_generators/HomusImageGenerator.py | HomusImageGenerator.create_images | def create_images(raw_data_directory: str,
destination_directory: str,
stroke_thicknesses: List[int],
canvas_width: int = None,
canvas_height: int = None,
staff_line_spacing: int = 14,
sta... | python | def create_images(raw_data_directory: str,
destination_directory: str,
stroke_thicknesses: List[int],
canvas_width: int = None,
canvas_height: int = None,
staff_line_spacing: int = 14,
sta... | [
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11,986 | apacha/OMR-Datasets | omrdatasettools/image_generators/MuscimaPlusPlusImageGenerator.py | MuscimaPlusPlusImageGenerator.extract_and_render_all_symbol_masks | def extract_and_render_all_symbol_masks(self, raw_data_directory: str, destination_directory: str):
"""
Extracts all symbols from the raw XML documents and generates individual symbols from the masks
:param raw_data_directory: The directory, that contains the xml-files and matching images
... | python | def extract_and_render_all_symbol_masks(self, raw_data_directory: str, destination_directory: str):
"""
Extracts all symbols from the raw XML documents and generates individual symbols from the masks
:param raw_data_directory: The directory, that contains the xml-files and matching images
... | [
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11,987 | apacha/OMR-Datasets | omrdatasettools/converters/ImageColorInverter.py | ImageColorInverter.invert_images | def invert_images(self, image_directory: str, image_file_ending: str = "*.bmp"):
"""
In-situ converts the white on black images of a directory to black on white images
:param image_directory: The directory, that contains the images
:param image_file_ending: The pattern for finding files... | python | def invert_images(self, image_directory: str, image_file_ending: str = "*.bmp"):
"""
In-situ converts the white on black images of a directory to black on white images
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11,988 | apacha/OMR-Datasets | omrdatasettools/image_generators/CapitanImageGenerator.py | CapitanImageGenerator.create_capitan_images | def create_capitan_images(self, raw_data_directory: str,
destination_directory: str,
stroke_thicknesses: List[int]) -> None:
"""
Creates a visual representation of the Capitan strokes by parsing all text-files and the symbols as specified
... | python | def create_capitan_images(self, raw_data_directory: str,
destination_directory: str,
stroke_thicknesses: List[int]) -> None:
"""
Creates a visual representation of the Capitan strokes by parsing all text-files and the symbols as specified
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11,989 | apacha/OMR-Datasets | omrdatasettools/image_generators/CapitanImageGenerator.py | CapitanImageGenerator.draw_capitan_stroke_images | def draw_capitan_stroke_images(self, symbols: List[CapitanSymbol],
destination_directory: str,
stroke_thicknesses: List[int]) -> None:
"""
Creates a visual representation of the Capitan strokes by drawing lines that connect the points... | python | def draw_capitan_stroke_images(self, symbols: List[CapitanSymbol],
destination_directory: str,
stroke_thicknesses: List[int]) -> None:
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11,990 | apacha/OMR-Datasets | omrdatasettools/image_generators/Rectangle.py | Rectangle.overlap | def overlap(r1: 'Rectangle', r2: 'Rectangle'):
"""
Overlapping rectangles overlap both horizontally & vertically
"""
h_overlaps = (r1.left <= r2.right) and (r1.right >= r2.left)
v_overlaps = (r1.bottom >= r2.top) and (r1.top <= r2.bottom)
return h_overlaps and v_overlaps | python | def overlap(r1: 'Rectangle', r2: 'Rectangle'):
"""
Overlapping rectangles overlap both horizontally & vertically
"""
h_overlaps = (r1.left <= r2.right) and (r1.right >= r2.left)
v_overlaps = (r1.bottom >= r2.top) and (r1.top <= r2.bottom)
return h_overlaps and v_overlaps | [
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11,991 | apacha/OMR-Datasets | omrdatasettools/image_generators/AudiverisOmrImageGenerator.py | AudiverisOmrImageGenerator.extract_symbols | def extract_symbols(self, raw_data_directory: str, destination_directory: str):
"""
Extracts the symbols from the raw XML documents and matching images of the Audiveris OMR dataset into
individual symbols
:param raw_data_directory: The directory, that contains the xml-files and matching... | python | def extract_symbols(self, raw_data_directory: str, destination_directory: str):
"""
Extracts the symbols from the raw XML documents and matching images of the Audiveris OMR dataset into
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11,992 | apacha/OMR-Datasets | omrdatasettools/image_generators/HomusSymbol.py | HomusSymbol.initialize_from_string | def initialize_from_string(content: str) -> 'HomusSymbol':
"""
Create and initializes a new symbol from a string
:param content: The content of a symbol as read from the text-file
:return: The initialized symbol
:rtype: HomusSymbol
"""
if content is None or cont... | python | def initialize_from_string(content: str) -> 'HomusSymbol':
"""
Create and initializes a new symbol from a string
:param content: The content of a symbol as read from the text-file
:return: The initialized symbol
:rtype: HomusSymbol
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11,993 | apacha/OMR-Datasets | omrdatasettools/image_generators/HomusSymbol.py | HomusSymbol.draw_into_bitmap | def draw_into_bitmap(self, export_path: ExportPath, stroke_thickness: int, margin: int = 0) -> None:
"""
Draws the symbol in the original size that it has plus an optional margin
:param export_path: The path, where the symbols should be created on disk
:param stroke_thickness: Pen-thick... | python | def draw_into_bitmap(self, export_path: ExportPath, stroke_thickness: int, margin: int = 0) -> None:
"""
Draws the symbol in the original size that it has plus an optional margin
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11,994 | apacha/OMR-Datasets | omrdatasettools/image_generators/HomusSymbol.py | HomusSymbol.draw_onto_canvas | def draw_onto_canvas(self, export_path: ExportPath, stroke_thickness: int, margin: int, destination_width: int,
destination_height: int, staff_line_spacing: int = 14,
staff_line_vertical_offsets: List[int] = None,
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destination_height: int, staff_line_spacing: int = 14,
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11,995 | datascopeanalytics/scrubadub | scrubadub/import_magic.py | update_locals | def update_locals(locals_instance, instance_iterator, *args, **kwargs):
"""import all of the detector classes into the local namespace to make it
easy to do things like `import scrubadub.detectors.NameDetector` without
having to add each new ``Detector`` or ``Filth``
"""
# http://stackoverflow.com/a... | python | def update_locals(locals_instance, instance_iterator, *args, **kwargs):
"""import all of the detector classes into the local namespace to make it
easy to do things like `import scrubadub.detectors.NameDetector` without
having to add each new ``Detector`` or ``Filth``
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11,996 | datascopeanalytics/scrubadub | scrubadub/filth/__init__.py | iter_filth_clss | def iter_filth_clss():
"""Iterate over all of the filths that are included in this sub-package.
This is a convenience method for capturing all new Filth that are added
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"""
return iter_subclasses(
os.path.dirname(os.path.abspath(__file__)),
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return iter_subclasses(
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11,997 | datascopeanalytics/scrubadub | scrubadub/filth/__init__.py | iter_filths | def iter_filths():
"""Iterate over all instances of filth"""
for filth_cls in iter_filth_clss():
if issubclass(filth_cls, RegexFilth):
m = next(re.finditer(r"\s+", "fake pattern string"))
yield filth_cls(m)
else:
yield filth_cls() | python | def iter_filths():
"""Iterate over all instances of filth"""
for filth_cls in iter_filth_clss():
if issubclass(filth_cls, RegexFilth):
m = next(re.finditer(r"\s+", "fake pattern string"))
yield filth_cls(m)
else:
yield filth_cls() | [
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11,998 | datascopeanalytics/scrubadub | scrubadub/filth/base.py | MergedFilth._update_content | def _update_content(self, other_filth):
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11,999 | datascopeanalytics/scrubadub | scrubadub/scrubbers.py | Scrubber.add_detector | def add_detector(self, detector_cls):
"""Add a ``Detector`` to scrubadub"""
if not issubclass(detector_cls, detectors.base.Detector):
raise TypeError((
'"%(detector_cls)s" is not a subclass of Detector'
) % locals())
# TODO: should add tests to make sure f... | python | def add_detector(self, detector_cls):
"""Add a ``Detector`` to scrubadub"""
if not issubclass(detector_cls, detectors.base.Detector):
raise TypeError((
'"%(detector_cls)s" is not a subclass of Detector'
) % locals())
# TODO: should add tests to make sure f... | [
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] | 914bda49a16130b44af43df6a2f84755477c407c | https://github.com/datascopeanalytics/scrubadub/blob/914bda49a16130b44af43df6a2f84755477c407c/scrubadub/scrubbers.py#L24-L38 |
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