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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
A tuple of ... | [
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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
data = [[] for _ in self.sources]
for i in range(request):
try:
for source_data, example in zip(
data, next(self.child_e... | python | def get_data(self, request=None):
"""Get data from the dataset."""
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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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The port on wh... | [
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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
for a ZeroMQ PUSH socket. Must be picklable.
Returns
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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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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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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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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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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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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
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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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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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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.
"""
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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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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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mila-iqia/fuel | fuel/utils/lock.py | release_readlock | def release_readlock(lockdir_name):
"""Release a previously obtained readlock.
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lockdir_name : str
Name of the previously obtained readlock
"""
# Make sure the lock still exists before deleting it
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lockdir_name : str
Name of the previously obtained readlock
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# Make sure the lock still exists before deleting it
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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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mila-iqia/fuel | fuel/utils/lock.py | Unlocker.unlock | def unlock(self):
"""Remove current lock.
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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:
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... | 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)
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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.
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url : str
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file_handle : file
Where to save the downloaded URL.
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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.
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directory : str
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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
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filename : str
Name of the file to find.
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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):
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"""Create properties that perform lazy loading of attributes."""
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mila-iqia/fuel | fuel/utils/__init__.py | do_not_pickle_attributes | def do_not_pickle_attributes(*lazy_properties):
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mila-iqia/fuel | fuel/utils/__init__.py | Subset.sorted_fancy_indexing | def sorted_fancy_indexing(indexable, request):
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Some objects, such as h5py datasets, only support list indexing
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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):
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slice_ : :class:`slice`
Slice for which numerical attributes are wanted.
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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."""
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else:
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mila-iqia/fuel | fuel/utils/__init__.py | Subset.index_within_subset | def index_within_subset(self, indexable, subset_request,
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indexable : indexable object
The object to index through.
subset_request : ... | python | def index_within_subset(self, indexable, subset_request,
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----------
indexable : indexable object
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mila-iqia/fuel | fuel/utils/__init__.py | Subset.num_examples | def num_examples(self):
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mila-iqia/fuel | fuel/streams.py | DataStream.get_epoch_iterator | def get_epoch_iterator(self, **kwargs):
"""Get an epoch iterator for the data stream."""
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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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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
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(can ... | python | def download(directory, youtube_id, clear=False):
"""Download the audio of a YouTube video.
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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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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
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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
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Parameters
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subparser : :class:`argparse.ArgumentParser`
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Adds the compulsory `--youtube-id` flag as well as the optional
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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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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.
"""
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Parameters
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subparser : :class:`argparse.ArgumentParser`
Subparser handling the `ilsvrc2012` command.
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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
-------
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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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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):
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key : str
The name of the configuration setting. This must be a valid
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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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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
-------
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A list of :class:`numpy.ndarray` objects.
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"""Receive a list of NumPy arrays.
Parameters
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socket : :class:`zmq.Socket`
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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):
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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,
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canvas_width: int = None,
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staff_line_spacing: int = 14,
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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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apacha/OMR-Datasets | omrdatasettools/converters/ImageColorInverter.py | ImageColorInverter.invert_images | def invert_images(self, image_directory: str, image_file_ending: str = "*.bmp"):
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apacha/OMR-Datasets | omrdatasettools/image_generators/CapitanImageGenerator.py | CapitanImageGenerator.create_capitan_images | def create_capitan_images(self, raw_data_directory: str,
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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:
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Creates a visual representation of the Capitan strokes by parsing all text-files and the symbols as specified
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apacha/OMR-Datasets | omrdatasettools/image_generators/CapitanImageGenerator.py | CapitanImageGenerator.draw_capitan_stroke_images | def draw_capitan_stroke_images(self, symbols: List[CapitanSymbol],
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stroke_thicknesses: List[int]) -> None:
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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)
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apacha/OMR-Datasets | omrdatasettools/image_generators/AudiverisOmrImageGenerator.py | AudiverisOmrImageGenerator.extract_symbols | def extract_symbols(self, raw_data_directory: str, destination_directory: str):
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Extracts the symbols from the raw XML documents and matching images of the Audiveris OMR dataset into
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Extracts the symbols from the raw XML documents and matching images of the Audiveris OMR dataset into
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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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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:
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Draws the symbol in the original size that it has plus an optional margin
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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,
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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``
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datascopeanalytics/scrubadub | scrubadub/filth/__init__.py | iter_filth_clss | def iter_filth_clss():
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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)
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yield filth_cls() | [
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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((
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datascopeanalytics/scrubadub | scrubadub/scrubbers.py | Scrubber.clean | def clean(self, text, **kwargs):
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terrycain/aioboto3 | aioboto3/s3/inject.py | download_file | async def download_file(self, Bucket, Key, Filename, ExtraArgs=None, Callback=None, Config=None):
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Usage::
import boto3
s3 = boto3.resource('s3')
s3.meta.client.download_file('mybucket', 'hello.txt', '/tmp/hello.txt')
Similar behavior as S3Transf... | python | async def download_file(self, Bucket, Key, Filename, ExtraArgs=None, Callback=None, Config=None):
"""Download an S3 object to a file.
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terrycain/aioboto3 | aioboto3/s3/inject.py | download_fileobj | async def download_fileobj(self, Bucket, Key, Fileobj, ExtraArgs=None, Callback=None, Config=None):
"""Download an object from S3 to a file-like object.
The file-like object must be in binary mode.
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terrycain/aioboto3 | aioboto3/s3/inject.py | upload_fileobj | async def upload_fileobj(self, Fileobj: BinaryIO, Bucket: str, Key: str, ExtraArgs: Optional[Dict[str, Any]] = None,
Callback: Optional[Callable[[int], None]] = None,
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terrycain/aioboto3 | aioboto3/s3/inject.py | upload_file | async def upload_file(self, Filename, Bucket, Key, ExtraArgs=None, Callback=None, Config=None):
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terrycain/aioboto3 | aioboto3/resources.py | AIOBoto3ResourceFactory._create_action | def _create_action(factory_self, action_model, resource_name,
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"""
Creates a new method which makes a request to the underlying
AWS service.
"""
# Create the action in in this closure but before the ``do_action``
# me... | python | def _create_action(factory_self, action_model, resource_name,
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Creates a new method which makes a request to the underlying
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terrycain/aioboto3 | aioboto3/s3/cse.py | AsymmetricCryptoContext.from_der_private_key | def from_der_private_key(data: bytes, password: Optional[str] = None) -> _RSAPrivateKey:
"""
Convert private key in DER encoding to a Private key object
:param data: private key bytes
:param password: password the private key is encrypted with
"""
return serialization.lo... | python | def from_der_private_key(data: bytes, password: Optional[str] = None) -> _RSAPrivateKey:
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terrycain/aioboto3 | aioboto3/s3/cse.py | S3CSE.get_object | async def get_object(self, Bucket: str, Key: str, **kwargs) -> dict:
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S3 GetObject. Takes same args as Boto3 documentation
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terrycain/aioboto3 | aioboto3/s3/cse.py | S3CSE.put_object | async def put_object(self, Body: Union[bytes, IO], Bucket: str, Key: str, Metadata: Dict = None, **kwargs):
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astrofrog/fast-histogram | fast_histogram/histogram.py | histogram1d | def histogram1d(x, bins, range, weights=None):
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x : `~numpy.ndarray`
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cytoscape/py2cytoscape | py2cytoscape/data/cynetwork.py | CyNetwork.to_networkx | def to_networkx(self):
"""
Return this network in NetworkX graph object.
:return: Network as NetworkX graph object
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Return this network in NetworkX graph object.
:return: Network as NetworkX graph object
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cytoscape/py2cytoscape | py2cytoscape/data/cynetwork.py | CyNetwork.to_dataframe | def to_dataframe(self, extra_edges_columns=[]):
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cytoscape/py2cytoscape | py2cytoscape/data/cynetwork.py | CyNetwork.add_node | def add_node(self, node_name, dataframe=False):
""" Add a single node to the network. """
if node_name is None:
return None
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""" Add a single node to the network. """
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cytoscape/py2cytoscape | py2cytoscape/data/cynetwork.py | CyNetwork.add_edge | def add_edge(self, source, target, interaction='-', directed=True, dataframe=True):
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cytoscape/py2cytoscape | py2cytoscape/data/cynetwork.py | CyNetwork.get_views | def get_views(self):
"""
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"""
Get views as a list of SUIDs
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cytoscape/py2cytoscape | py2cytoscape/cyrest/diffusion.py | diffusion.diffuse_advanced | def diffuse_advanced(self, heatColumnName=None, time=None, verbose=False):
"""
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cytoscape/py2cytoscape | py2cytoscape/util/util_networkx.py | to_networkx | def to_networkx(cyjs, directed=True):
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"""
if directed:
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"""
Convert Cytoscape.js-style JSON object into NetworkX object.
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cytoscape/py2cytoscape | py2cytoscape/cyrest/cybrowser.py | cybrowser.dialog | def dialog(self=None, wid=None, text=None, title=None, url=None, debug=False, verbose=False):
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Launch and HTML browser in a separate window.
:param wid: Window ID
:param text: HTML text
:param title: Window Title
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Launch and HTML browser in a separate window.
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cytoscape/py2cytoscape | py2cytoscape/cyrest/cybrowser.py | cybrowser.hide | def hide(self, wid, verbose=False):
"""
Hide and HTML browser in the Results Panel.
:param wid: Window ID
:param verbose: print more
"""
PARAMS={"id":wid}
response=api(url=self.__url+"/hide?",PARAMS=PARAMS, method="GET", verbose=verbose)
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"""
Hide and HTML browser in the Results Panel.
:param wid: Window ID
:param verbose: print more
"""
PARAMS={"id":wid}
response=api(url=self.__url+"/hide?",PARAMS=PARAMS, method="GET", verbose=verbose)
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cytoscape/py2cytoscape | py2cytoscape/cyrest/cybrowser.py | cybrowser.show | def show(self, wid=None, text=None, title=None, url=None, verbose=False):
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Launch an HTML browser in the Results Panel.
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:param text: HTML text
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Launch an HTML browser in the Results Panel.
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cytoscape/py2cytoscape | py2cytoscape/data/util_http.py | check_response | def check_response(res):
""" Check HTTP response and raise exception if response is not OK. """
try:
res.raise_for_status() # Alternative is res.ok
except Exception as exc:
# Bad response code, e.g. if adding an edge with nodes that doesn't exist
try:
err_info = res.json(... | python | def check_response(res):
""" Check HTTP response and raise exception if response is not OK. """
try:
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cytoscape/py2cytoscape | py2cytoscape/util/util_dataframe.py | from_dataframe | def from_dataframe(df,
source_col='source',
target_col='target',
interaction_col='interaction',
name='From DataFrame',
edge_attr_cols=[]):
"""
Utility to convert Pandas DataFrame object into Cytoscape.js JSON
:pa... | python | def from_dataframe(df,
source_col='source',
target_col='target',
interaction_col='interaction',
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edge_attr_cols=[]):
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cytoscape/py2cytoscape | py2cytoscape/util/util_dataframe.py | to_dataframe | def to_dataframe(network,
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edges_attr_cols=[]):
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cytoscape/py2cytoscape | py2cytoscape/cytoscapejs/viewer.py | render | def render(network,
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background=DEF_BACKGROUND_COLOR,
height=DEF_HEIGHT,
width=DEF_WIDTH,
style_file=STYLE_FILE,
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def_edges=DEF_EDGES):
"""Render network data with... | python | def render(network,
style=DEF_STYLE,
layout_algorithm=DEF_LAYOUT,
background=DEF_BACKGROUND_COLOR,
height=DEF_HEIGHT,
width=DEF_WIDTH,
style_file=STYLE_FILE,
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cytoscape/py2cytoscape | py2cytoscape/cyrest/edge.py | edge.create_attribute | def create_attribute(self,column=None,listType=None,namespace=None, network=None, atype=None, verbose=False):
"""
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cytoscape/py2cytoscape | py2cytoscape/cyrest/edge.py | edge.get | def get(self,edge=None,network=None,sourceNode=None, targetNode=None, atype=None, verbose=False):
"""
Returns the SUID of an edge that matches the passed parameters. If
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"""
Returns the SUID of an edge that matches the passed parameters. If
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cytoscape/py2cytoscape | py2cytoscape/cyrest/network.py | network.list | def list(self, verbose=False):
"""
List all of the networks in the current session.
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"""
response=api(url=self.__url+"/list", method="POST", verbose=verbose)
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"""
List all of the networks in the current session.
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cytoscape/py2cytoscape | py2cytoscape/cyrest/session.py | session.new | def new(self, verbose=False):
"""
Destroys the current session and creates a new, empty one.
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response=api(url=self.__url+"/new", verbose=verbose)
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Destroys the current session and creates a new, empty one.
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response=api(url=self.__url+"/new", verbose=verbose)
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cytoscape/py2cytoscape | py2cytoscape/cyrest/session.py | session.open | def open(self, session_file=None,session_url=None, verbose=False):
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cytoscape/py2cytoscape | py2cytoscape/cyrest/vizmap.py | vizmap.apply | def apply(self, styles=None, verbose=False):
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cytoscape/py2cytoscape | py2cytoscape/cyrest/vizmap.py | vizmap.simple_defaults | def simple_defaults(self, defaults_dic):
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"defaults",
"."
] | dd34de8d028f512314d0057168df7fef7c5d5195 | https://github.com/cytoscape/py2cytoscape/blob/dd34de8d028f512314d0057168df7fef7c5d5195/py2cytoscape/cyrest/vizmap.py#L278-L293 | train |
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