body stringlengths 26 98.2k | body_hash int64 -9,222,864,604,528,158,000 9,221,803,474B | docstring stringlengths 1 16.8k | path stringlengths 5 230 | name stringlengths 1 96 | repository_name stringlengths 7 89 | lang stringclasses 1
value | body_without_docstring stringlengths 20 98.2k |
|---|---|---|---|---|---|---|---|
def largest_negative_number(seq_seq):
'\n Returns the largest NEGATIVE number in the given sequence of\n sequences of numbers. Returns None if there are no negative numbers\n in the sequence of sequences.\n\n For example, if the given argument is:\n [(30, -5, 8, -20),\n (100, -2.6, 88, -... | -3,513,091,658,034,349,600 | Returns the largest NEGATIVE number in the given sequence of
sequences of numbers. Returns None if there are no negative numbers
in the sequence of sequences.
For example, if the given argument is:
[(30, -5, 8, -20),
(100, -2.6, 88, -40, -5),
(400, 500)
]
then this function returns -2.6.
As another... | src/m3_more_nested_loops_in_sequences.py | largest_negative_number | dalesil/19-MoreLoopsWithinLoops | python | def largest_negative_number(seq_seq):
'\n Returns the largest NEGATIVE number in the given sequence of\n sequences of numbers. Returns None if there are no negative numbers\n in the sequence of sequences.\n\n For example, if the given argument is:\n [(30, -5, 8, -20),\n (100, -2.6, 88, -... |
def run_test_first_is_elsewhere_too():
' Tests the first_is_elsewhere_too function. '
print()
print('-------------------------------------')
print('Testing the FIRST_IS_ELSEWHERE_TOO function:')
print('-------------------------------------')
message = {True: 'Your code PASSED this test... | -4,606,426,094,174,220,000 | Tests the first_is_elsewhere_too function. | src/m3_more_nested_loops_in_sequences.py | run_test_first_is_elsewhere_too | dalesil/19-MoreLoopsWithinLoops | python | def run_test_first_is_elsewhere_too():
' '
print()
print('-------------------------------------')
print('Testing the FIRST_IS_ELSEWHERE_TOO function:')
print('-------------------------------------')
message = {True: 'Your code PASSED this test.\n', False: 'Your code FAILED this test.\n'}
... |
def first_is_elsewhere_too(seq_seq):
'\n Given a sequence of subsequences:\n -- Returns True if any element of the first (initial) subsequence\n appears in any of the other subsequences.\n -- Returns False otherwise.\n\n For example, if the given argument is:\n [(3, 1, 4),\n ... | 5,612,261,895,344,195,000 | Given a sequence of subsequences:
-- Returns True if any element of the first (initial) subsequence
appears in any of the other subsequences.
-- Returns False otherwise.
For example, if the given argument is:
[(3, 1, 4),
(13, 10, 11, 7, 10),
[11, 12, 3, 10]]
then this function returns True bec... | src/m3_more_nested_loops_in_sequences.py | first_is_elsewhere_too | dalesil/19-MoreLoopsWithinLoops | python | def first_is_elsewhere_too(seq_seq):
'\n Given a sequence of subsequences:\n -- Returns True if any element of the first (initial) subsequence\n appears in any of the other subsequences.\n -- Returns False otherwise.\n\n For example, if the given argument is:\n [(3, 1, 4),\n ... |
def _to_DataFrame(self):
'Returns all of the channels parsed from the file as a pandas DataFrame'
import pandas as pd
time_index = pd.to_timedelta([f[0] for f in self._motions], unit='s')
frames = [f[1] for f in self._motions]
channels = np.asarray([[channel[2] for channel in frame] for frame in fra... | 1,907,929,460,344,979,500 | Returns all of the channels parsed from the file as a pandas DataFrame | app/resources/pymo/pymo/parsers.py | _to_DataFrame | seanschneeweiss/RoSeMotion | python | def _to_DataFrame(self):
import pandas as pd
time_index = pd.to_timedelta([f[0] for f in self._motions], unit='s')
frames = [f[1] for f in self._motions]
channels = np.asarray([[channel[2] for channel in frame] for frame in frames])
column_names = [('%s_%s' % (c[0], c[1])) for c in self._motion... |
def find_path(entityset, source_entity, target_entity):
'Find a path of the source entity to the target_entity.'
nodes_pipe = [target_entity]
parent_dict = {target_entity: None}
while len(nodes_pipe):
parent_node = nodes_pipe.pop()
if (parent_node == source_entity):
break
... | 2,792,276,967,203,366,400 | Find a path of the source entity to the target_entity. | vbridge/utils/entityset_helpers.py | find_path | sibyl-dev/VBridge | python | def find_path(entityset, source_entity, target_entity):
nodes_pipe = [target_entity]
parent_dict = {target_entity: None}
while len(nodes_pipe):
parent_node = nodes_pipe.pop()
if (parent_node == source_entity):
break
child_nodes = ([e[0] for e in entityset.get_backwar... |
def get_event_ids(storage):
'Get the highest event id from the entities and the eventid of the most recent event\n\n :param storage: GOB (events + entities)\n :return:highest entity eventid and last eventid\n '
with storage.get_session():
entity_max_eventid = storage.get_entity_max_eventid()
... | 8,561,335,916,100,775,000 | Get the highest event id from the entities and the eventid of the most recent event
:param storage: GOB (events + entities)
:return:highest entity eventid and last eventid | src/gobupload/utils.py | get_event_ids | Amsterdam/GOB-Upload | python | def get_event_ids(storage):
'Get the highest event id from the entities and the eventid of the most recent event\n\n :param storage: GOB (events + entities)\n :return:highest entity eventid and last eventid\n '
with storage.get_session():
entity_max_eventid = storage.get_entity_max_eventid()
... |
def random_string(length):
'Returns a random string of length :length: consisting of lowercase characters and digits\n\n :param length:\n :return:\n '
assert (length > 0)
characters = (string.ascii_lowercase + ''.join([str(i) for i in range(10)]))
return ''.join([random.choice(characters) for _... | -2,064,968,224,007,040,000 | Returns a random string of length :length: consisting of lowercase characters and digits
:param length:
:return: | src/gobupload/utils.py | random_string | Amsterdam/GOB-Upload | python | def random_string(length):
'Returns a random string of length :length: consisting of lowercase characters and digits\n\n :param length:\n :return:\n '
assert (length > 0)
characters = (string.ascii_lowercase + .join([str(i) for i in range(10)]))
return .join([random.choice(characters) for _ in ... |
def evaluate_rnn(model, dataloader, print_every=5, init_dir=None, allow_gpu_mem_growth=True, gpu_memory_fraction=0.3):
'\n This function initialized a model from the <init_from> directory and calculates\n probabilities, and confusion matrices based on all data stored in\n one epoch of dataloader (usually t... | 2,253,965,908,330,062,300 | This function initialized a model from the <init_from> directory and calculates
probabilities, and confusion matrices based on all data stored in
one epoch of dataloader (usually test data)
:param model: rnn_model object containing tensorflow graph
:param dataloader: DataLoader object f... | evaluate.py | evaluate_rnn | TUM-LMF/fieldRNN | python | def evaluate_rnn(model, dataloader, print_every=5, init_dir=None, allow_gpu_mem_growth=True, gpu_memory_fraction=0.3):
'\n This function initialized a model from the <init_from> directory and calculates\n probabilities, and confusion matrices based on all data stored in\n one epoch of dataloader (usually t... |
def evaluate_cnn(model, dataloader, print_every=5, init_dir=None, allow_gpu_mem_growth=True, gpu_memory_fraction=0.3):
'\n This function initialized a model from the <init_from> directory and calculates\n probabilities, and confusion matrices based on all data stored in\n one epoch of dataloader (usually t... | -8,771,434,458,588,027,000 | This function initialized a model from the <init_from> directory and calculates
probabilities, and confusion matrices based on all data stored in
one epoch of dataloader (usually test data)
:param model: rnn_model object containing tensorflow graph
:param dataloader: DataLoader object f... | evaluate.py | evaluate_cnn | TUM-LMF/fieldRNN | python | def evaluate_cnn(model, dataloader, print_every=5, init_dir=None, allow_gpu_mem_growth=True, gpu_memory_fraction=0.3):
'\n This function initialized a model from the <init_from> directory and calculates\n probabilities, and confusion matrices based on all data stored in\n one epoch of dataloader (usually t... |
def is_allowed_create(self, resource_type, context_id):
'Whether or not the user is allowed to create a resource of the specified\n type in the context.'
return self._is_allowed(Permission('create', resource_type, context_id)) | 2,661,049,642,559,629,000 | Whether or not the user is allowed to create a resource of the specified
type in the context. | src/ggrc/rbac/permissions_provider.py | is_allowed_create | sriharshakappala/ggrc-core | python | def is_allowed_create(self, resource_type, context_id):
'Whether or not the user is allowed to create a resource of the specified\n type in the context.'
return self._is_allowed(Permission('create', resource_type, context_id)) |
def is_allowed_read(self, resource_type, context_id):
'Whether or not the user is allowed to read a resource of the specified\n type in the context.'
return self._is_allowed(Permission('read', resource_type, context_id)) | 7,899,654,231,519,762,000 | Whether or not the user is allowed to read a resource of the specified
type in the context. | src/ggrc/rbac/permissions_provider.py | is_allowed_read | sriharshakappala/ggrc-core | python | def is_allowed_read(self, resource_type, context_id):
'Whether or not the user is allowed to read a resource of the specified\n type in the context.'
return self._is_allowed(Permission('read', resource_type, context_id)) |
def is_allowed_update(self, resource_type, context_id):
'Whether or not the user is allowed to update a resource of the specified\n type in the context.'
return self._is_allowed(Permission('update', resource_type, context_id)) | 1,961,168,208,370,677,500 | Whether or not the user is allowed to update a resource of the specified
type in the context. | src/ggrc/rbac/permissions_provider.py | is_allowed_update | sriharshakappala/ggrc-core | python | def is_allowed_update(self, resource_type, context_id):
'Whether or not the user is allowed to update a resource of the specified\n type in the context.'
return self._is_allowed(Permission('update', resource_type, context_id)) |
def is_allowed_delete(self, resource_type, context_id):
'Whether or not the user is allowed to delete a resource of the specified\n type in the context.'
return self._is_allowed(Permission('delete', resource_type, context_id)) | 3,184,699,235,176,215,600 | Whether or not the user is allowed to delete a resource of the specified
type in the context. | src/ggrc/rbac/permissions_provider.py | is_allowed_delete | sriharshakappala/ggrc-core | python | def is_allowed_delete(self, resource_type, context_id):
'Whether or not the user is allowed to delete a resource of the specified\n type in the context.'
return self._is_allowed(Permission('delete', resource_type, context_id)) |
def create_contexts_for(self, resource_type):
'All contexts in which the user has create permission.'
return self._get_contexts_for('create', resource_type) | -6,525,482,749,111,687,000 | All contexts in which the user has create permission. | src/ggrc/rbac/permissions_provider.py | create_contexts_for | sriharshakappala/ggrc-core | python | def create_contexts_for(self, resource_type):
return self._get_contexts_for('create', resource_type) |
def read_contexts_for(self, resource_type):
'All contexts in which the user has read permission.'
return self._get_contexts_for('read', resource_type) | -775,641,103,843,699,100 | All contexts in which the user has read permission. | src/ggrc/rbac/permissions_provider.py | read_contexts_for | sriharshakappala/ggrc-core | python | def read_contexts_for(self, resource_type):
return self._get_contexts_for('read', resource_type) |
def update_contexts_for(self, resource_type):
'All contexts in which the user has update permission.'
return self._get_contexts_for('update', resource_type) | 3,080,554,081,914,556,000 | All contexts in which the user has update permission. | src/ggrc/rbac/permissions_provider.py | update_contexts_for | sriharshakappala/ggrc-core | python | def update_contexts_for(self, resource_type):
return self._get_contexts_for('update', resource_type) |
def delete_contexts_for(self, resource_type):
'All contexts in which the user has delete permission.'
return self._get_contexts_for('delete', resource_type) | 1,119,226,877,921,123,100 | All contexts in which the user has delete permission. | src/ggrc/rbac/permissions_provider.py | delete_contexts_for | sriharshakappala/ggrc-core | python | def delete_contexts_for(self, resource_type):
return self._get_contexts_for('delete', resource_type) |
def fit(self, data):
'\n Apply standard scale for input data\n Parameters\n ----------\n data: data_instance, input data\n\n Returns\n ----------\n data:data_instance, data after scale\n mean: list, each column mean value\n std: list, each colu... | -1,999,165,563,163,743,500 | Apply standard scale for input data
Parameters
----------
data: data_instance, input data
Returns
----------
data:data_instance, data after scale
mean: list, each column mean value
std: list, each column standard deviation | federatedml/feature/feature_scale/standard_scale.py | fit | 0xqq/FATE | python | def fit(self, data):
'\n Apply standard scale for input data\n Parameters\n ----------\n data: data_instance, input data\n\n Returns\n ----------\n data:data_instance, data after scale\n mean: list, each column mean value\n std: list, each colu... |
def transform(self, data):
'\n Transform input data using standard scale with fit results\n Parameters\n ----------\n data: data_instance, input data\n\n Returns\n ----------\n transform_data:data_instance, data after transform\n '
f = functools.partial(se... | 871,618,339,265,289,500 | Transform input data using standard scale with fit results
Parameters
----------
data: data_instance, input data
Returns
----------
transform_data:data_instance, data after transform | federatedml/feature/feature_scale/standard_scale.py | transform | 0xqq/FATE | python | def transform(self, data):
'\n Transform input data using standard scale with fit results\n Parameters\n ----------\n data: data_instance, input data\n\n Returns\n ----------\n transform_data:data_instance, data after transform\n '
f = functools.partial(se... |
def build_prep(model_path='.', server_config=None, server_port=9090):
'Prepares the model to be Dockerised by generating a dockerimage'
model_path = osp.abspath(model_path)
(model_tag, model_version) = get_model_tag_and_version(model_path)
if (server_config is None):
server_config = 'false'
... | -3,235,559,846,212,837,400 | Prepares the model to be Dockerised by generating a dockerimage | catwalk/cicd/build_steps.py | build_prep | LeapBeyond/catwalk | python | def build_prep(model_path='.', server_config=None, server_port=9090):
model_path = osp.abspath(model_path)
(model_tag, model_version) = get_model_tag_and_version(model_path)
if (server_config is None):
server_config = 'false'
kwargs = {'catwalk_version': catwalk_version, 'model_tag': model_... |
def build(model_path='.', docker_registry=None, push=True, no_cache=False):
'Builds the model into a Dockerised model server image.'
model_path = osp.abspath(model_path)
(model_tag, model_version) = get_model_tag_and_version(model_path)
model_path = osp.abspath(model_path)
image_name_parts = [model_... | -7,023,126,925,768,950,000 | Builds the model into a Dockerised model server image. | catwalk/cicd/build_steps.py | build | LeapBeyond/catwalk | python | def build(model_path='.', docker_registry=None, push=True, no_cache=False):
model_path = osp.abspath(model_path)
(model_tag, model_version) = get_model_tag_and_version(model_path)
model_path = osp.abspath(model_path)
image_name_parts = [model_tag]
if (docker_registry is not None):
image... |
def from_dict(data, require=None):
'Validates a dictionary containing Google service account data.\n\n Creates and returns a :class:`google.auth.crypt.Signer` instance from the\n private key specified in the data.\n\n Args:\n data (Mapping[str, str]): The service account data\n require (Seque... | 5,287,973,729,651,305,000 | Validates a dictionary containing Google service account data.
Creates and returns a :class:`google.auth.crypt.Signer` instance from the
private key specified in the data.
Args:
data (Mapping[str, str]): The service account data
require (Sequence[str]): List of keys required to be present in the
info.... | google/auth/_service_account_info.py | from_dict | CodingFanSteve/google-auth-library-python | python | def from_dict(data, require=None):
'Validates a dictionary containing Google service account data.\n\n Creates and returns a :class:`google.auth.crypt.Signer` instance from the\n private key specified in the data.\n\n Args:\n data (Mapping[str, str]): The service account data\n require (Seque... |
def from_filename(filename, require=None):
'Reads a Google service account JSON file and returns its parsed info.\n\n Args:\n filename (str): The path to the service account .json file.\n require (Sequence[str]): List of keys required to be present in the\n info.\n\n Returns:\n ... | 7,935,664,125,326,170,000 | Reads a Google service account JSON file and returns its parsed info.
Args:
filename (str): The path to the service account .json file.
require (Sequence[str]): List of keys required to be present in the
info.
Returns:
Tuple[ Mapping[str, str], google.auth.crypt.Signer ]: The verified
info... | google/auth/_service_account_info.py | from_filename | CodingFanSteve/google-auth-library-python | python | def from_filename(filename, require=None):
'Reads a Google service account JSON file and returns its parsed info.\n\n Args:\n filename (str): The path to the service account .json file.\n require (Sequence[str]): List of keys required to be present in the\n info.\n\n Returns:\n ... |
def __init__(self, end_time_usecs=None, location=None, policy_id=None, protection_job_id=None, protection_job_name=None, retention_period=None, start_time_usecs=None, storage_domain=None, total_snapshots=None):
'Constructor for the ProtectionInfo class'
self.end_time_usecs = end_time_usecs
self.location = l... | -5,818,597,911,769,055,000 | Constructor for the ProtectionInfo class | cohesity_management_sdk/models/protection_info.py | __init__ | cohesity/management-sdk-python | python | def __init__(self, end_time_usecs=None, location=None, policy_id=None, protection_job_id=None, protection_job_name=None, retention_period=None, start_time_usecs=None, storage_domain=None, total_snapshots=None):
self.end_time_usecs = end_time_usecs
self.location = location
self.policy_id = policy_id
... |
@classmethod
def from_dictionary(cls, dictionary):
"Creates an instance of this model from a dictionary\n\n Args:\n dictionary (dictionary): A dictionary representation of the object as\n obtained from the deserialization of the server's response. The keys\n MUST match proper... | 8,686,142,287,780,077,000 | Creates an instance of this model from a dictionary
Args:
dictionary (dictionary): A dictionary representation of the object as
obtained from the deserialization of the server's response. The keys
MUST match property names in the API description.
Returns:
object: An instance of this structure class. | cohesity_management_sdk/models/protection_info.py | from_dictionary | cohesity/management-sdk-python | python | @classmethod
def from_dictionary(cls, dictionary):
"Creates an instance of this model from a dictionary\n\n Args:\n dictionary (dictionary): A dictionary representation of the object as\n obtained from the deserialization of the server's response. The keys\n MUST match proper... |
def make_datetime(time_string, formats=None):
'Makes datetime from string based on one of the formats.\n\n :param string time_string: time in string\n :param list formats: list of accepted formats\n :return datetime.datetime: datetime or None if no format is matched\n '
if (formats is None):
... | 912,480,247,123,594,900 | Makes datetime from string based on one of the formats.
:param string time_string: time in string
:param list formats: list of accepted formats
:return datetime.datetime: datetime or None if no format is matched | archdiffer/flask_frontend/request_parser.py | make_datetime | Kratochvilova/archdiffer | python | def make_datetime(time_string, formats=None):
'Makes datetime from string based on one of the formats.\n\n :param string time_string: time in string\n :param list formats: list of accepted formats\n :return datetime.datetime: datetime or None if no format is matched\n '
if (formats is None):
... |
def before(column, name='before'):
'Make filter template for filtering column values less or equal to\n datetime.\n\n :param column: database model\n :param string name: name used in the filter template\n :return dict: resulting template\n '
return {name: (column, operator.le, make_datetime)} | 3,500,485,523,387,236,000 | Make filter template for filtering column values less or equal to
datetime.
:param column: database model
:param string name: name used in the filter template
:return dict: resulting template | archdiffer/flask_frontend/request_parser.py | before | Kratochvilova/archdiffer | python | def before(column, name='before'):
'Make filter template for filtering column values less or equal to\n datetime.\n\n :param column: database model\n :param string name: name used in the filter template\n :return dict: resulting template\n '
return {name: (column, operator.le, make_datetime)} |
def after(column, name='after'):
'Make filter template for filtering column values greater or equal to\n datetime.\n\n :param column: database model\n :param string name: name used in the filter template\n :return dict: resulting template\n '
return {name: (column, operator.ge, make_datetime)} | 484,768,844,085,137,860 | Make filter template for filtering column values greater or equal to
datetime.
:param column: database model
:param string name: name used in the filter template
:return dict: resulting template | archdiffer/flask_frontend/request_parser.py | after | Kratochvilova/archdiffer | python | def after(column, name='after'):
'Make filter template for filtering column values greater or equal to\n datetime.\n\n :param column: database model\n :param string name: name used in the filter template\n :return dict: resulting template\n '
return {name: (column, operator.ge, make_datetime)} |
def time(column, name='time'):
'Make filter template for filtering column values equal to datetime.\n\n :param column: database model\n :param string name: name used in the filter template\n :return dict: resulting template\n '
return {name: (column, operator.eq, make_datetime)} | -7,892,127,272,377,402,000 | Make filter template for filtering column values equal to datetime.
:param column: database model
:param string name: name used in the filter template
:return dict: resulting template | archdiffer/flask_frontend/request_parser.py | time | Kratochvilova/archdiffer | python | def time(column, name='time'):
'Make filter template for filtering column values equal to datetime.\n\n :param column: database model\n :param string name: name used in the filter template\n :return dict: resulting template\n '
return {name: (column, operator.eq, make_datetime)} |
def equals(column, name='id', function=(lambda x: x)):
'Make filter template for filtering column values equal to value\n transformed by given function.\n\n :param column: database model\n :param string name: name used in the filter template\n :param callable function: function for transforming the valu... | 3,664,609,797,446,414,000 | Make filter template for filtering column values equal to value
transformed by given function.
:param column: database model
:param string name: name used in the filter template
:param callable function: function for transforming the value
:return dict: resulting template | archdiffer/flask_frontend/request_parser.py | equals | Kratochvilova/archdiffer | python | def equals(column, name='id', function=(lambda x: x)):
'Make filter template for filtering column values equal to value\n transformed by given function.\n\n :param column: database model\n :param string name: name used in the filter template\n :param callable function: function for transforming the valu... |
def parse_request(filters=None, defaults=None):
'Parse arguments in request according to the _TRANSFORMATIONS or given\n filters.\n Requests containing other keys are considered invalid.\n\n :param dict filters: dict of filter templates containing for each key\n (column, operator, function transform... | 5,116,512,422,071,438,000 | Parse arguments in request according to the _TRANSFORMATIONS or given
filters.
Requests containing other keys are considered invalid.
:param dict filters: dict of filter templates containing for each key
(column, operator, function transforming value from request argument)
:param dict defaults: default values of m... | archdiffer/flask_frontend/request_parser.py | parse_request | Kratochvilova/archdiffer | python | def parse_request(filters=None, defaults=None):
'Parse arguments in request according to the _TRANSFORMATIONS or given\n filters.\n Requests containing other keys are considered invalid.\n\n :param dict filters: dict of filter templates containing for each key\n (column, operator, function transform... |
def get_request_arguments(*names, args_dict=None, invert=False):
'Get arguments from args_dict or request if they match given names.\n\n :param *names: names of arguments\n :param dict args_dict: dict of arguments\n :param bool invert: True if names should be exclueded instead\n :return dict: dict of ar... | -4,561,038,898,568,742,400 | Get arguments from args_dict or request if they match given names.
:param *names: names of arguments
:param dict args_dict: dict of arguments
:param bool invert: True if names should be exclueded instead
:return dict: dict of arguments | archdiffer/flask_frontend/request_parser.py | get_request_arguments | Kratochvilova/archdiffer | python | def get_request_arguments(*names, args_dict=None, invert=False):
'Get arguments from args_dict or request if they match given names.\n\n :param *names: names of arguments\n :param dict args_dict: dict of arguments\n :param bool invert: True if names should be exclueded instead\n :return dict: dict of ar... |
def update_modifiers(old_modifiers, new_modifiers):
'Update modifiers.\n\n :param dict old_modifiers: old modifiers\n :param dict old_modifiers: new modifiers\n :return dict: resulting modifiers\n '
modifiers = old_modifiers.copy()
for (key, value) in new_modifiers.items():
if (key in ol... | -3,875,344,573,319,031,000 | Update modifiers.
:param dict old_modifiers: old modifiers
:param dict old_modifiers: new modifiers
:return dict: resulting modifiers | archdiffer/flask_frontend/request_parser.py | update_modifiers | Kratochvilova/archdiffer | python | def update_modifiers(old_modifiers, new_modifiers):
'Update modifiers.\n\n :param dict old_modifiers: old modifiers\n :param dict old_modifiers: new modifiers\n :return dict: resulting modifiers\n '
modifiers = old_modifiers.copy()
for (key, value) in new_modifiers.items():
if (key in ol... |
def generate_models(x_shape, number_of_classes, number_of_models=5, metrics=['accuracy'], model_type=None, cnn_min_layers=5, cnn_max_layers=10, cnn_min_filters=25, cnn_max_filters=100, cnn_min_fc_nodes=500, cnn_max_fc_nodes=1000, deepconvlstm_min_conv_layers=3, deepconvlstm_max_conv_layers=7, deepconvlstm_min_conv_filt... | -7,336,653,422,567,980,000 | Generate one or multiple untrained Keras models with random hyperparameters.
Parameters
----------
x_shape : tuple
Shape of the input dataset: (num_samples, num_timesteps, num_channels)
number_of_classes : int
Number of classes for classification task
number_of_models : int
Number of models to generate
met... | mcfly/modelgen.py | generate_models | wadpac/mcfly | python | def generate_models(x_shape, number_of_classes, number_of_models=5, metrics=['accuracy'], model_type=None, cnn_min_layers=5, cnn_max_layers=10, cnn_min_filters=25, cnn_max_filters=100, cnn_min_fc_nodes=500, cnn_max_fc_nodes=1000, deepconvlstm_min_conv_layers=3, deepconvlstm_max_conv_layers=7, deepconvlstm_min_conv_filt... |
def generate_DeepConvLSTM_model(x_shape, class_number, filters, lstm_dims, learning_rate=0.01, regularization_rate=0.01, metrics=['accuracy']):
'\n Generate a model with convolution and LSTM layers.\n See Ordonez et al., 2016, http://dx.doi.org/10.3390/s16010115\n\n Parameters\n ----------\n x_shape ... | 3,397,434,799,327,207,400 | Generate a model with convolution and LSTM layers.
See Ordonez et al., 2016, http://dx.doi.org/10.3390/s16010115
Parameters
----------
x_shape : tuple
Shape of the input dataset: (num_samples, num_timesteps, num_channels)
class_number : int
Number of classes for classification task
filters : list of ints
n... | mcfly/modelgen.py | generate_DeepConvLSTM_model | wadpac/mcfly | python | def generate_DeepConvLSTM_model(x_shape, class_number, filters, lstm_dims, learning_rate=0.01, regularization_rate=0.01, metrics=['accuracy']):
'\n Generate a model with convolution and LSTM layers.\n See Ordonez et al., 2016, http://dx.doi.org/10.3390/s16010115\n\n Parameters\n ----------\n x_shape ... |
def generate_CNN_model(x_shape, class_number, filters, fc_hidden_nodes, learning_rate=0.01, regularization_rate=0.01, metrics=['accuracy']):
'\n Generate a convolutional neural network (CNN) model.\n\n The compiled Keras model is returned.\n\n Parameters\n ----------\n x_shape : tuple\n Shape ... | -6,212,186,200,602,782,000 | Generate a convolutional neural network (CNN) model.
The compiled Keras model is returned.
Parameters
----------
x_shape : tuple
Shape of the input dataset: (num_samples, num_timesteps, num_channels)
class_number : int
Number of classes for classification task
filters : list of ints
number of filters for ... | mcfly/modelgen.py | generate_CNN_model | wadpac/mcfly | python | def generate_CNN_model(x_shape, class_number, filters, fc_hidden_nodes, learning_rate=0.01, regularization_rate=0.01, metrics=['accuracy']):
'\n Generate a convolutional neural network (CNN) model.\n\n The compiled Keras model is returned.\n\n Parameters\n ----------\n x_shape : tuple\n Shape ... |
def generate_CNN_hyperparameter_set(min_layers=1, max_layers=10, min_filters=10, max_filters=100, min_fc_nodes=10, max_fc_nodes=2000, low_lr=1, high_lr=4, low_reg=1, high_reg=4):
' Generate a hyperparameter set that define a CNN model.\n\n Parameters\n ----------\n min_layers : int\n minimum of Conv... | -6,703,070,403,318,698,000 | Generate a hyperparameter set that define a CNN model.
Parameters
----------
min_layers : int
minimum of Conv layers
max_layers : int
maximum of Conv layers
min_filters : int
minimum number of filters per Conv layer
max_filters : int
maximum number of filters per Conv layer
min_fc_nodes : int
minim... | mcfly/modelgen.py | generate_CNN_hyperparameter_set | wadpac/mcfly | python | def generate_CNN_hyperparameter_set(min_layers=1, max_layers=10, min_filters=10, max_filters=100, min_fc_nodes=10, max_fc_nodes=2000, low_lr=1, high_lr=4, low_reg=1, high_reg=4):
' Generate a hyperparameter set that define a CNN model.\n\n Parameters\n ----------\n min_layers : int\n minimum of Conv... |
def generate_DeepConvLSTM_hyperparameter_set(min_conv_layers=1, max_conv_layers=10, min_conv_filters=10, max_conv_filters=100, min_lstm_layers=1, max_lstm_layers=5, min_lstm_dims=10, max_lstm_dims=100, low_lr=1, high_lr=4, low_reg=1, high_reg=4):
' Generate a hyperparameter set that defines a DeepConvLSTM model.\n\... | 2,699,689,129,207,129,000 | Generate a hyperparameter set that defines a DeepConvLSTM model.
Parameters
----------
min_conv_layers : int
minimum number of Conv layers in DeepConvLSTM model
max_conv_layers : int
maximum number of Conv layers in DeepConvLSTM model
min_conv_filters : int
minimum number of filters per Conv layer in DeepC... | mcfly/modelgen.py | generate_DeepConvLSTM_hyperparameter_set | wadpac/mcfly | python | def generate_DeepConvLSTM_hyperparameter_set(min_conv_layers=1, max_conv_layers=10, min_conv_filters=10, max_conv_filters=100, min_lstm_layers=1, max_lstm_layers=5, min_lstm_dims=10, max_lstm_dims=100, low_lr=1, high_lr=4, low_reg=1, high_reg=4):
' Generate a hyperparameter set that defines a DeepConvLSTM model.\n\... |
def generate_base_hyper_parameter_set(low_lr=1, high_lr=4, low_reg=1, high_reg=4):
' Generate a base set of hyperparameters that are necessary for any\n model, but sufficient for none.\n\n Parameters\n ----------\n low_lr : float\n minimum of log range for learning rate: learning rate is sampled\... | 5,598,553,892,270,986,000 | Generate a base set of hyperparameters that are necessary for any
model, but sufficient for none.
Parameters
----------
low_lr : float
minimum of log range for learning rate: learning rate is sampled
between `10**(-low_reg)` and `10**(-high_reg)`
high_lr : float
maximum of log range for learning rate: lea... | mcfly/modelgen.py | generate_base_hyper_parameter_set | wadpac/mcfly | python | def generate_base_hyper_parameter_set(low_lr=1, high_lr=4, low_reg=1, high_reg=4):
' Generate a base set of hyperparameters that are necessary for any\n model, but sufficient for none.\n\n Parameters\n ----------\n low_lr : float\n minimum of log range for learning rate: learning rate is sampled\... |
def get_learning_rate(low=1, high=4):
' Return random learning rate 10^-n where n is sampled uniformly between\n low and high bounds.\n\n Parameters\n ----------\n low : float\n low bound\n high : float\n high bound\n\n Returns\n -------\n learning_rate : float\n learnin... | 1,192,930,097,796,020,000 | Return random learning rate 10^-n where n is sampled uniformly between
low and high bounds.
Parameters
----------
low : float
low bound
high : float
high bound
Returns
-------
learning_rate : float
learning rate | mcfly/modelgen.py | get_learning_rate | wadpac/mcfly | python | def get_learning_rate(low=1, high=4):
' Return random learning rate 10^-n where n is sampled uniformly between\n low and high bounds.\n\n Parameters\n ----------\n low : float\n low bound\n high : float\n high bound\n\n Returns\n -------\n learning_rate : float\n learnin... |
def get_regularization(low=1, high=4):
' Return random regularization rate 10^-n where n is sampled uniformly\n between low and high bounds.\n\n Parameters\n ----------\n low : float\n low bound\n high : float\n high bound\n\n Returns\n -------\n regularization_rate : float\n ... | -6,022,252,116,884,650,000 | Return random regularization rate 10^-n where n is sampled uniformly
between low and high bounds.
Parameters
----------
low : float
low bound
high : float
high bound
Returns
-------
regularization_rate : float
regularization rate | mcfly/modelgen.py | get_regularization | wadpac/mcfly | python | def get_regularization(low=1, high=4):
' Return random regularization rate 10^-n where n is sampled uniformly\n between low and high bounds.\n\n Parameters\n ----------\n low : float\n low bound\n high : float\n high bound\n\n Returns\n -------\n regularization_rate : float\n ... |
def drawSparseMatrix(ax, mat, **kwargs):
"Draw a view of a matrix into the axes.\n\n Parameters\n ----------\n ax : mpl axis instance, optional\n Axis instance where the matrix will be plotted.\n\n mat: pg.matrix.SparseMatrix or pg.matrix.SparseMapMatrix\n\n Returns\n -------\n mpl.lines... | 816,415,907,612,042,400 | Draw a view of a matrix into the axes.
Parameters
----------
ax : mpl axis instance, optional
Axis instance where the matrix will be plotted.
mat: pg.matrix.SparseMatrix or pg.matrix.SparseMapMatrix
Returns
-------
mpl.lines.line2d
Examples
--------
>>> import numpy as np
>>> import pygimli as pg
>>> from pygim... | pygimli/viewer/mpl/matrixview.py | drawSparseMatrix | JuliusHen/gimli | python | def drawSparseMatrix(ax, mat, **kwargs):
"Draw a view of a matrix into the axes.\n\n Parameters\n ----------\n ax : mpl axis instance, optional\n Axis instance where the matrix will be plotted.\n\n mat: pg.matrix.SparseMatrix or pg.matrix.SparseMapMatrix\n\n Returns\n -------\n mpl.lines... |
def drawBlockMatrix(ax, mat, **kwargs):
'Draw a view of a matrix into the axes.\n\n Arguments\n ---------\n\n ax : mpl axis instance, optional\n Axis instance where the matrix will be plotted.\n\n mat: pg.Matrix.BlockMatrix\n\n Keyword Arguments\n -----------------\n spy: bool [False]\n ... | 7,353,387,242,353,312,000 | Draw a view of a matrix into the axes.
Arguments
---------
ax : mpl axis instance, optional
Axis instance where the matrix will be plotted.
mat: pg.Matrix.BlockMatrix
Keyword Arguments
-----------------
spy: bool [False]
Draw all matrix entries instead of colored blocks
Returns
-------
ax:
Examples
------... | pygimli/viewer/mpl/matrixview.py | drawBlockMatrix | JuliusHen/gimli | python | def drawBlockMatrix(ax, mat, **kwargs):
'Draw a view of a matrix into the axes.\n\n Arguments\n ---------\n\n ax : mpl axis instance, optional\n Axis instance where the matrix will be plotted.\n\n mat: pg.Matrix.BlockMatrix\n\n Keyword Arguments\n -----------------\n spy: bool [False]\n ... |
def sigma_pentagonal_numbers(limit):
'\n >>> list(sigma_pentagonal_numbers(16))\n [1, 2, 5, 7, 12, 15]\n '
n = 1
p = 1
while (p <= limit):
(yield p)
if (n > 0):
n = (- n)
else:
n = ((- n) + 1)
p = ((((3 * n) * n) - n) // 2) | -6,706,061,342,674,910,000 | >>> list(sigma_pentagonal_numbers(16))
[1, 2, 5, 7, 12, 15] | advent/year2015/day20.py | sigma_pentagonal_numbers | davweb/advent-of-code | python | def sigma_pentagonal_numbers(limit):
'\n >>> list(sigma_pentagonal_numbers(16))\n [1, 2, 5, 7, 12, 15]\n '
n = 1
p = 1
while (p <= limit):
(yield p)
if (n > 0):
n = (- n)
else:
n = ((- n) + 1)
p = ((((3 * n) * n) - n) // 2) |
@cache
def presents_for_house(house):
'\n https://math.stackexchange.com/a/22744\n\n >>> presents_for_house(1)\n 10\n >>> presents_for_house(2)\n 30\n >>> presents_for_house(3)\n 40\n >>> presents_for_house(8)\n 150\n >>> presents_for_house(9)\n 130\n '
if (house == 1):
... | -763,015,109,654,025,600 | https://math.stackexchange.com/a/22744
>>> presents_for_house(1)
10
>>> presents_for_house(2)
30
>>> presents_for_house(3)
40
>>> presents_for_house(8)
150
>>> presents_for_house(9)
130 | advent/year2015/day20.py | presents_for_house | davweb/advent-of-code | python | @cache
def presents_for_house(house):
'\n https://math.stackexchange.com/a/22744\n\n >>> presents_for_house(1)\n 10\n >>> presents_for_house(2)\n 30\n >>> presents_for_house(3)\n 40\n >>> presents_for_house(8)\n 150\n >>> presents_for_house(9)\n 130\n '
if (house == 1):
... |
def part1(data):
'\n #\xa0Takes too long so commented out\n # >>> part1(INPUT)\n # 776160\n '
house = 0
presents = 0
max = 0
while (presents < data):
house += 1
presents = presents_for_house(house)
if (presents > max):
max = presents
print(... | -2,077,811,953,429,830,100 | # Takes too long so commented out
# >>> part1(INPUT)
# 776160 | advent/year2015/day20.py | part1 | davweb/advent-of-code | python | def part1(data):
'\n #\xa0Takes too long so commented out\n # >>> part1(INPUT)\n # 776160\n '
house = 0
presents = 0
max = 0
while (presents < data):
house += 1
presents = presents_for_house(house)
if (presents > max):
max = presents
print(... |
def part2(data):
'\n >>> part2(INPUT)\n 786240\n '
upper_limit = INPUT
house = ([0] * (upper_limit + 1))
elf = 1
while (elf <= upper_limit):
elf_end = min((elf * 50), upper_limit)
for number in range(elf, (elf_end + 1), elf):
index = (number - 1)
hous... | -7,750,473,585,390,069,000 | >>> part2(INPUT)
786240 | advent/year2015/day20.py | part2 | davweb/advent-of-code | python | def part2(data):
'\n >>> part2(INPUT)\n 786240\n '
upper_limit = INPUT
house = ([0] * (upper_limit + 1))
elf = 1
while (elf <= upper_limit):
elf_end = min((elf * 50), upper_limit)
for number in range(elf, (elf_end + 1), elf):
index = (number - 1)
hous... |
def get_version(version=None):
'Return a PEP 440-compliant version number from VERSION.'
version = get_complete_version(version)
main = get_main_version(version)
sub = ''
if ((version[3] == 'alpha') and (version[4] == 0)):
git_changeset = get_git_changeset()
if git_changeset:
... | 4,286,137,061,568,923,600 | Return a PEP 440-compliant version number from VERSION. | django-src/utils/version.py | get_version | ch1huizong/Scode | python | def get_version(version=None):
version = get_complete_version(version)
main = get_main_version(version)
sub =
if ((version[3] == 'alpha') and (version[4] == 0)):
git_changeset = get_git_changeset()
if git_changeset:
sub = ('.dev%s' % git_changeset)
elif (version[3] ... |
def get_main_version(version=None):
'Return main version (X.Y[.Z]) from VERSION.'
version = get_complete_version(version)
parts = (2 if (version[2] == 0) else 3)
return '.'.join((str(x) for x in version[:parts])) | 9,013,525,789,992,150,000 | Return main version (X.Y[.Z]) from VERSION. | django-src/utils/version.py | get_main_version | ch1huizong/Scode | python | def get_main_version(version=None):
version = get_complete_version(version)
parts = (2 if (version[2] == 0) else 3)
return '.'.join((str(x) for x in version[:parts])) |
def get_complete_version(version=None):
'\n Return a tuple of the django version. If version argument is non-empty,\n check for correctness of the tuple provided.\n '
if (version is None):
from django import VERSION as version
else:
assert (len(version) == 5)
assert (version... | 2,632,988,490,259,573,000 | Return a tuple of the django version. If version argument is non-empty,
check for correctness of the tuple provided. | django-src/utils/version.py | get_complete_version | ch1huizong/Scode | python | def get_complete_version(version=None):
'\n Return a tuple of the django version. If version argument is non-empty,\n check for correctness of the tuple provided.\n '
if (version is None):
from django import VERSION as version
else:
assert (len(version) == 5)
assert (version... |
@functools.lru_cache()
def get_git_changeset():
"Return a numeric identifier of the latest git changeset.\n\n The result is the UTC timestamp of the changeset in YYYYMMDDHHMMSS format.\n This value isn't guaranteed to be unique, but collisions are very unlikely,\n so it's sufficient for generating the deve... | -4,377,290,538,242,741,000 | Return a numeric identifier of the latest git changeset.
The result is the UTC timestamp of the changeset in YYYYMMDDHHMMSS format.
This value isn't guaranteed to be unique, but collisions are very unlikely,
so it's sufficient for generating the development version numbers. | django-src/utils/version.py | get_git_changeset | ch1huizong/Scode | python | @functools.lru_cache()
def get_git_changeset():
"Return a numeric identifier of the latest git changeset.\n\n The result is the UTC timestamp of the changeset in YYYYMMDDHHMMSS format.\n This value isn't guaranteed to be unique, but collisions are very unlikely,\n so it's sufficient for generating the deve... |
def findMedianSortedArrays(self, nums1, nums2):
'\n :type nums1: List[int]\n :type nums2: List[int]\n :rtype: float\n '
odd = ((len(nums1) + len(nums2)) % 2)
if odd:
half = ((len(nums1) + len(nums2)) // 2)
else:
half = (((len(nums1) + len(nums2)) // 2) - 1)
... | -5,411,036,675,623,418,000 | :type nums1: List[int]
:type nums2: List[int]
:rtype: float | 4+Median+of+Two+Sorted+Arrays/alg.py | findMedianSortedArrays | xiaoh12/leetcode | python | def findMedianSortedArrays(self, nums1, nums2):
'\n :type nums1: List[int]\n :type nums2: List[int]\n :rtype: float\n '
odd = ((len(nums1) + len(nums2)) % 2)
if odd:
half = ((len(nums1) + len(nums2)) // 2)
else:
half = (((len(nums1) + len(nums2)) // 2) - 1)
... |
def get_port(self, context):
'Get available port for consoles.'
return CONF.console_vmrc_port | 2,535,733,782,578,544,000 | Get available port for consoles. | nova/console/vmrc.py | get_port | ONOP/nova | python | def get_port(self, context):
return CONF.console_vmrc_port |
def setup_console(self, context, console):
'Sets up console.'
pass | -4,836,120,128,759,881,000 | Sets up console. | nova/console/vmrc.py | setup_console | ONOP/nova | python | def setup_console(self, context, console):
pass |
def teardown_console(self, context, console):
'Tears down console.'
pass | -6,899,172,463,449,520,000 | Tears down console. | nova/console/vmrc.py | teardown_console | ONOP/nova | python | def teardown_console(self, context, console):
pass |
def init_host(self):
'Perform console initialization.'
pass | 5,688,657,367,007,553,000 | Perform console initialization. | nova/console/vmrc.py | init_host | ONOP/nova | python | def init_host(self):
pass |
def fix_pool_password(self, password):
'Encode password.'
return password | 1,070,836,154,636,971,800 | Encode password. | nova/console/vmrc.py | fix_pool_password | ONOP/nova | python | def fix_pool_password(self, password):
return password |
def generate_password(self, vim_session, pool, instance_name):
"Returns VMRC Connection credentials.\n\n Return string is of the form '<VM PATH>:<ESX Username>@<ESX Password>'.\n\n "
(username, password) = (pool['username'], pool['password'])
vms = vim_session._call_method(vim_util, 'get_objec... | -17,592,870,140,672,932 | Returns VMRC Connection credentials.
Return string is of the form '<VM PATH>:<ESX Username>@<ESX Password>'. | nova/console/vmrc.py | generate_password | ONOP/nova | python | def generate_password(self, vim_session, pool, instance_name):
"Returns VMRC Connection credentials.\n\n Return string is of the form '<VM PATH>:<ESX Username>@<ESX Password>'.\n\n "
(username, password) = (pool['username'], pool['password'])
vms = vim_session._call_method(vim_util, 'get_objec... |
def is_otp(self):
'Is one time password or not.'
return False | -8,124,443,781,481,316,000 | Is one time password or not. | nova/console/vmrc.py | is_otp | ONOP/nova | python | def is_otp(self):
return False |
def generate_password(self, vim_session, pool, instance_name):
"Returns a VMRC Session.\n\n Return string is of the form '<VM MOID>:<VMRC Ticket>'.\n\n "
vms = vim_session._call_method(vim_util, 'get_objects', 'VirtualMachine', ['name'])
vm_ref = None
for vm in vms:
if (vm.propSet[... | 6,486,637,346,679,642,000 | Returns a VMRC Session.
Return string is of the form '<VM MOID>:<VMRC Ticket>'. | nova/console/vmrc.py | generate_password | ONOP/nova | python | def generate_password(self, vim_session, pool, instance_name):
"Returns a VMRC Session.\n\n Return string is of the form '<VM MOID>:<VMRC Ticket>'.\n\n "
vms = vim_session._call_method(vim_util, 'get_objects', 'VirtualMachine', ['name'])
vm_ref = None
for vm in vms:
if (vm.propSet[... |
def is_otp(self):
'Is one time password or not.'
return True | 3,635,665,800,062,393,300 | Is one time password or not. | nova/console/vmrc.py | is_otp | ONOP/nova | python | def is_otp(self):
return True |
def testInputOutput(self):
'\n Test InputOutput\n '
model = ProcessMaker_PMIO.models.input_output.InputOutput() | -8,925,060,231,664,973,000 | Test InputOutput | test/test_input_output.py | testInputOutput | ProcessMaker/pmio-sdk-python | python | def testInputOutput(self):
'\n \n '
model = ProcessMaker_PMIO.models.input_output.InputOutput() |
def get_correctness_test_inputs(use_numpy, with_distribution, x_train, y_train, x_predict):
'Generates the inputs for correctness check when enable Keras with DS.'
global_batch_size = 64
batch_size = global_batch_size
use_per_core_batch_size = (with_distribution and (with_distribution.__class__.__name__... | 4,754,634,288,906,665,000 | Generates the inputs for correctness check when enable Keras with DS. | tensorflow/contrib/distribute/python/keras_test.py | get_correctness_test_inputs | unnir/tensorflow | python | def get_correctness_test_inputs(use_numpy, with_distribution, x_train, y_train, x_predict):
global_batch_size = 64
batch_size = global_batch_size
use_per_core_batch_size = (with_distribution and (with_distribution.__class__.__name__ != 'TPUStrategy'))
if use_per_core_batch_size:
batch_size ... |
def read_lexiconp(filename):
"Reads the lexiconp.txt file in 'filename', with lines like 'word pron p1 p2 ...'.\n Returns a list of tuples (word, pron_prob, pron), where 'word' is a string,\n 'pron_prob', a float, is the pronunciation probability (which must be >0.0\n and would normally be <=1.0), and 'pro... | -5,861,199,520,399,420,000 | Reads the lexiconp.txt file in 'filename', with lines like 'word pron p1 p2 ...'.
Returns a list of tuples (word, pron_prob, pron), where 'word' is a string,
'pron_prob', a float, is the pronunciation probability (which must be >0.0
and would normally be <=1.0), and 'pron' is a list of strings representing phones.
... | egs/wsj/s5/utils/lang/make_lexicon_fst.py | read_lexiconp | Anusha-G-Rao/kaldi | python | def read_lexiconp(filename):
"Reads the lexiconp.txt file in 'filename', with lines like 'word pron p1 p2 ...'.\n Returns a list of tuples (word, pron_prob, pron), where 'word' is a string,\n 'pron_prob', a float, is the pronunciation probability (which must be >0.0\n and would normally be <=1.0), and 'pro... |
def write_nonterminal_arcs(start_state, loop_state, next_state, nonterminals, left_context_phones):
'This function relates to the grammar-decoding setup, see\n kaldi-asr.org/doc/grammar.html. It is called from write_fst_no_silence\n and write_fst_silence, and writes to the stdout some extra arcs\n in the ... | -8,162,289,252,516,565,000 | This function relates to the grammar-decoding setup, see
kaldi-asr.org/doc/grammar.html. It is called from write_fst_no_silence
and write_fst_silence, and writes to the stdout some extra arcs
in the lexicon FST that relate to nonterminal symbols.
See the section "Special symbols in L.fst,
kaldi-asr.org/doc/grammar.htm... | egs/wsj/s5/utils/lang/make_lexicon_fst.py | write_nonterminal_arcs | Anusha-G-Rao/kaldi | python | def write_nonterminal_arcs(start_state, loop_state, next_state, nonterminals, left_context_phones):
'This function relates to the grammar-decoding setup, see\n kaldi-asr.org/doc/grammar.html. It is called from write_fst_no_silence\n and write_fst_silence, and writes to the stdout some extra arcs\n in the ... |
def write_fst_no_silence(lexicon, nonterminals=None, left_context_phones=None):
"Writes the text format of L.fst to the standard output. This version is for\n when --sil-prob=0.0, meaning there is no optional silence allowed.\n\n 'lexicon' is a list of 3-tuples (word, pron-prob, prons) as returned by\n ... | -4,885,482,295,403,309,000 | Writes the text format of L.fst to the standard output. This version is for
when --sil-prob=0.0, meaning there is no optional silence allowed.
'lexicon' is a list of 3-tuples (word, pron-prob, prons) as returned by
read_lexiconp().
'nonterminals', which relates to grammar decoding (see kaldi-asr.org/doc/gramma... | egs/wsj/s5/utils/lang/make_lexicon_fst.py | write_fst_no_silence | Anusha-G-Rao/kaldi | python | def write_fst_no_silence(lexicon, nonterminals=None, left_context_phones=None):
"Writes the text format of L.fst to the standard output. This version is for\n when --sil-prob=0.0, meaning there is no optional silence allowed.\n\n 'lexicon' is a list of 3-tuples (word, pron-prob, prons) as returned by\n ... |
def write_fst_with_silence(lexicon, sil_prob, sil_phone, sil_disambig, nonterminals=None, left_context_phones=None):
'Writes the text format of L.fst to the standard output. This version is for\n when --sil-prob != 0.0, meaning there is optional silence\n \'lexicon\' is a list of 3-tuples (word, pron-pro... | 1,575,721,830,482,665,700 | Writes the text format of L.fst to the standard output. This version is for
when --sil-prob != 0.0, meaning there is optional silence
'lexicon' is a list of 3-tuples (word, pron-prob, prons)
as returned by read_lexiconp().
'sil_prob', which is expected to be strictly between 0.. and 1.0, is the
probability o... | egs/wsj/s5/utils/lang/make_lexicon_fst.py | write_fst_with_silence | Anusha-G-Rao/kaldi | python | def write_fst_with_silence(lexicon, sil_prob, sil_phone, sil_disambig, nonterminals=None, left_context_phones=None):
'Writes the text format of L.fst to the standard output. This version is for\n when --sil-prob != 0.0, meaning there is optional silence\n \'lexicon\' is a list of 3-tuples (word, pron-pro... |
def write_words_txt(orig_lines, highest_numbered_symbol, nonterminals, filename):
"Writes updated words.txt to 'filename'. 'orig_lines' is the original lines\n in the words.txt file as a list of strings (without the newlines);\n highest_numbered_symbol is the highest numbered symbol in the original\n ... | 4,574,954,868,212,090,000 | Writes updated words.txt to 'filename'. 'orig_lines' is the original lines
in the words.txt file as a list of strings (without the newlines);
highest_numbered_symbol is the highest numbered symbol in the original
words.txt; nonterminals is a list of strings like '#nonterm:foo'. | egs/wsj/s5/utils/lang/make_lexicon_fst.py | write_words_txt | Anusha-G-Rao/kaldi | python | def write_words_txt(orig_lines, highest_numbered_symbol, nonterminals, filename):
"Writes updated words.txt to 'filename'. 'orig_lines' is the original lines\n in the words.txt file as a list of strings (without the newlines);\n highest_numbered_symbol is the highest numbered symbol in the original\n ... |
def read_nonterminals(filename):
"Reads the user-defined nonterminal symbols in 'filename', checks that\n it has the expected format and has no duplicates, and returns the nonterminal\n symbols as a list of strings, e.g.\n ['#nonterm:contact_list', '#nonterm:phone_number', ... ]. "
ans = [line... | -2,603,101,064,308,610,600 | Reads the user-defined nonterminal symbols in 'filename', checks that
it has the expected format and has no duplicates, and returns the nonterminal
symbols as a list of strings, e.g.
['#nonterm:contact_list', '#nonterm:phone_number', ... ]. | egs/wsj/s5/utils/lang/make_lexicon_fst.py | read_nonterminals | Anusha-G-Rao/kaldi | python | def read_nonterminals(filename):
"Reads the user-defined nonterminal symbols in 'filename', checks that\n it has the expected format and has no duplicates, and returns the nonterminal\n symbols as a list of strings, e.g.\n ['#nonterm:contact_list', '#nonterm:phone_number', ... ]. "
ans = [line... |
def read_left_context_phones(filename):
"Reads, checks, and returns a list of left-context phones, in text form, one\n per line. Returns a list of strings, e.g. ['a', 'ah', ..., '#nonterm_bos' ]"
ans = [line.strip(' \t\r\n') for line in open(filename, 'r', encoding='latin-1')]
if (len(ans) == 0):
... | -7,915,289,802,565,721,000 | Reads, checks, and returns a list of left-context phones, in text form, one
per line. Returns a list of strings, e.g. ['a', 'ah', ..., '#nonterm_bos' ] | egs/wsj/s5/utils/lang/make_lexicon_fst.py | read_left_context_phones | Anusha-G-Rao/kaldi | python | def read_left_context_phones(filename):
"Reads, checks, and returns a list of left-context phones, in text form, one\n per line. Returns a list of strings, e.g. ['a', 'ah', ..., '#nonterm_bos' ]"
ans = [line.strip(' \t\r\n') for line in open(filename, 'r', encoding='latin-1')]
if (len(ans) == 0):
... |
def is_token(s):
'Returns true if s is a string and is space-free.'
if (not isinstance(s, str)):
return False
whitespace = re.compile('[ \t\r\n]+')
split_str = whitespace.split(s)
return ((len(split_str) == 1) and (s == split_str[0])) | 5,402,618,036,967,467,000 | Returns true if s is a string and is space-free. | egs/wsj/s5/utils/lang/make_lexicon_fst.py | is_token | Anusha-G-Rao/kaldi | python | def is_token(s):
if (not isinstance(s, str)):
return False
whitespace = re.compile('[ \t\r\n]+')
split_str = whitespace.split(s)
return ((len(split_str) == 1) and (s == split_str[0])) |
def inspect_app(app: App) -> 'AppInfo':
'Inspects an application.\n\n Args:\n app (falcon.App): The application to inspect. Works with both\n :class:`falcon.App` and :class:`falcon.asgi.App`.\n\n Returns:\n AppInfo: The information regarding the application. Call\n :meth:`~.App... | 4,346,341,443,215,193,600 | Inspects an application.
Args:
app (falcon.App): The application to inspect. Works with both
:class:`falcon.App` and :class:`falcon.asgi.App`.
Returns:
AppInfo: The information regarding the application. Call
:meth:`~.AppInfo.to_string` on the result to obtain a human-friendly
representation. | falcon/inspect.py | inspect_app | hzdwang/falcon-1 | python | def inspect_app(app: App) -> 'AppInfo':
'Inspects an application.\n\n Args:\n app (falcon.App): The application to inspect. Works with both\n :class:`falcon.App` and :class:`falcon.asgi.App`.\n\n Returns:\n AppInfo: The information regarding the application. Call\n :meth:`~.App... |
def inspect_routes(app: App) -> 'List[RouteInfo]':
'Inspects the routes of an application.\n\n Args:\n app (falcon.App): The application to inspect. Works with both\n :class:`falcon.App` and :class:`falcon.asgi.App`.\n\n Returns:\n List[RouteInfo]: A list of route descriptions for the... | 9,208,210,767,539,110,000 | Inspects the routes of an application.
Args:
app (falcon.App): The application to inspect. Works with both
:class:`falcon.App` and :class:`falcon.asgi.App`.
Returns:
List[RouteInfo]: A list of route descriptions for the application. | falcon/inspect.py | inspect_routes | hzdwang/falcon-1 | python | def inspect_routes(app: App) -> 'List[RouteInfo]':
'Inspects the routes of an application.\n\n Args:\n app (falcon.App): The application to inspect. Works with both\n :class:`falcon.App` and :class:`falcon.asgi.App`.\n\n Returns:\n List[RouteInfo]: A list of route descriptions for the... |
def register_router(router_class):
"Register a function to inspect a particular router.\n\n This decorator registers a new function for a custom router\n class, so that it can be inspected with the function\n :func:`.inspect_routes`.\n An inspection function takes the router instance used by the\n ap... | 5,343,638,293,906,582,000 | Register a function to inspect a particular router.
This decorator registers a new function for a custom router
class, so that it can be inspected with the function
:func:`.inspect_routes`.
An inspection function takes the router instance used by the
application and returns a list of :class:`.RouteInfo`. Eg::
@re... | falcon/inspect.py | register_router | hzdwang/falcon-1 | python | def register_router(router_class):
"Register a function to inspect a particular router.\n\n This decorator registers a new function for a custom router\n class, so that it can be inspected with the function\n :func:`.inspect_routes`.\n An inspection function takes the router instance used by the\n ap... |
def inspect_static_routes(app: App) -> 'List[StaticRouteInfo]':
'Inspects the static routes of an application.\n\n Args:\n app (falcon.App): The application to inspect. Works with both\n :class:`falcon.App` and :class:`falcon.asgi.App`.\n\n Returns:\n List[StaticRouteInfo]: A list of ... | -8,759,942,310,408,179,000 | Inspects the static routes of an application.
Args:
app (falcon.App): The application to inspect. Works with both
:class:`falcon.App` and :class:`falcon.asgi.App`.
Returns:
List[StaticRouteInfo]: A list of static routes that have
been added to the application. | falcon/inspect.py | inspect_static_routes | hzdwang/falcon-1 | python | def inspect_static_routes(app: App) -> 'List[StaticRouteInfo]':
'Inspects the static routes of an application.\n\n Args:\n app (falcon.App): The application to inspect. Works with both\n :class:`falcon.App` and :class:`falcon.asgi.App`.\n\n Returns:\n List[StaticRouteInfo]: A list of ... |
def inspect_sinks(app: App) -> 'List[SinkInfo]':
'Inspects the sinks of an application.\n\n Args:\n app (falcon.App): The application to inspect. Works with both\n :class:`falcon.App` and :class:`falcon.asgi.App`.\n\n Returns:\n List[SinkInfo]: A list of sinks used by the application.... | 3,921,220,580,018,919,400 | Inspects the sinks of an application.
Args:
app (falcon.App): The application to inspect. Works with both
:class:`falcon.App` and :class:`falcon.asgi.App`.
Returns:
List[SinkInfo]: A list of sinks used by the application. | falcon/inspect.py | inspect_sinks | hzdwang/falcon-1 | python | def inspect_sinks(app: App) -> 'List[SinkInfo]':
'Inspects the sinks of an application.\n\n Args:\n app (falcon.App): The application to inspect. Works with both\n :class:`falcon.App` and :class:`falcon.asgi.App`.\n\n Returns:\n List[SinkInfo]: A list of sinks used by the application.... |
def inspect_error_handlers(app: App) -> 'List[ErrorHandlerInfo]':
'Inspects the error handlers of an application.\n\n Args:\n app (falcon.App): The application to inspect. Works with both\n :class:`falcon.App` and :class:`falcon.asgi.App`.\n\n Returns:\n List[ErrorHandlerInfo]: A list... | -8,406,878,317,633,376,000 | Inspects the error handlers of an application.
Args:
app (falcon.App): The application to inspect. Works with both
:class:`falcon.App` and :class:`falcon.asgi.App`.
Returns:
List[ErrorHandlerInfo]: A list of error handlers used by the
application. | falcon/inspect.py | inspect_error_handlers | hzdwang/falcon-1 | python | def inspect_error_handlers(app: App) -> 'List[ErrorHandlerInfo]':
'Inspects the error handlers of an application.\n\n Args:\n app (falcon.App): The application to inspect. Works with both\n :class:`falcon.App` and :class:`falcon.asgi.App`.\n\n Returns:\n List[ErrorHandlerInfo]: A list... |
def inspect_middlewares(app: App) -> 'MiddlewareInfo':
"Inspects the middleware components of an application.\n\n Args:\n app (falcon.App): The application to inspect. Works with both\n :class:`falcon.App` and :class:`falcon.asgi.App`.\n\n Returns:\n MiddlewareInfo: Information about ... | 1,525,322,864,409,902,300 | Inspects the middleware components of an application.
Args:
app (falcon.App): The application to inspect. Works with both
:class:`falcon.App` and :class:`falcon.asgi.App`.
Returns:
MiddlewareInfo: Information about the app's middleware components. | falcon/inspect.py | inspect_middlewares | hzdwang/falcon-1 | python | def inspect_middlewares(app: App) -> 'MiddlewareInfo':
"Inspects the middleware components of an application.\n\n Args:\n app (falcon.App): The application to inspect. Works with both\n :class:`falcon.App` and :class:`falcon.asgi.App`.\n\n Returns:\n MiddlewareInfo: Information about ... |
@register_router(CompiledRouter)
def inspect_compiled_router(router: CompiledRouter) -> 'List[RouteInfo]':
'Walk an instance of :class:`~.CompiledRouter` to return a list of defined routes.\n\n Default route inspector for CompiledRouter.\n\n Args:\n router (CompiledRouter): The router to inspect.\n\n ... | 2,829,765,905,918,934,000 | Walk an instance of :class:`~.CompiledRouter` to return a list of defined routes.
Default route inspector for CompiledRouter.
Args:
router (CompiledRouter): The router to inspect.
Returns:
List[RouteInfo]: A list of :class:`~.RouteInfo`. | falcon/inspect.py | inspect_compiled_router | hzdwang/falcon-1 | python | @register_router(CompiledRouter)
def inspect_compiled_router(router: CompiledRouter) -> 'List[RouteInfo]':
'Walk an instance of :class:`~.CompiledRouter` to return a list of defined routes.\n\n Default route inspector for CompiledRouter.\n\n Args:\n router (CompiledRouter): The router to inspect.\n\n ... |
def _get_source_info(obj, default='[unknown file]'):
'Try to get the definition file and line of obj.\n\n Return default on error.\n '
try:
source_file = inspect.getsourcefile(obj)
source_lines = inspect.findsource(obj)
source_info = '{}:{}'.format(source_file, source_lines[1])
... | -391,650,700,617,766,000 | Try to get the definition file and line of obj.
Return default on error. | falcon/inspect.py | _get_source_info | hzdwang/falcon-1 | python | def _get_source_info(obj, default='[unknown file]'):
'Try to get the definition file and line of obj.\n\n Return default on error.\n '
try:
source_file = inspect.getsourcefile(obj)
source_lines = inspect.findsource(obj)
source_info = '{}:{}'.format(source_file, source_lines[1])
... |
def _get_source_info_and_name(obj):
'Attempt to get the definition file and line of obj and its name.'
source_info = _get_source_info(obj, None)
if (source_info is None):
source_info = _get_source_info(type(obj))
name = getattr(obj, '__name__', None)
if (name is None):
name = getattr... | -3,760,626,473,023,653,000 | Attempt to get the definition file and line of obj and its name. | falcon/inspect.py | _get_source_info_and_name | hzdwang/falcon-1 | python | def _get_source_info_and_name(obj):
source_info = _get_source_info(obj, None)
if (source_info is None):
source_info = _get_source_info(type(obj))
name = getattr(obj, '__name__', None)
if (name is None):
name = getattr(type(obj), '__name__', '[unknown]')
return (source_info, name... |
def _is_internal(obj):
'Check if the module of the object is a falcon module.'
module = inspect.getmodule(obj)
if module:
return module.__name__.startswith('falcon.')
return False | -9,039,669,792,405,178,000 | Check if the module of the object is a falcon module. | falcon/inspect.py | _is_internal | hzdwang/falcon-1 | python | def _is_internal(obj):
module = inspect.getmodule(obj)
if module:
return module.__name__.startswith('falcon.')
return False |
def _filter_internal(iterable, return_internal):
'Filter the internal elements of an iterable.'
if return_internal:
return iterable
return [el for el in iterable if (not el.internal)] | 8,104,579,376,676,779,000 | Filter the internal elements of an iterable. | falcon/inspect.py | _filter_internal | hzdwang/falcon-1 | python | def _filter_internal(iterable, return_internal):
if return_internal:
return iterable
return [el for el in iterable if (not el.internal)] |
def to_string(self, verbose=False, internal=False) -> str:
'Return a string representation of this class.\n\n Args:\n verbose (bool, optional): Adds more information. Defaults to False.\n internal (bool, optional): Also include internal route methods\n and error handlers ... | 357,918,309,221,823,740 | Return a string representation of this class.
Args:
verbose (bool, optional): Adds more information. Defaults to False.
internal (bool, optional): Also include internal route methods
and error handlers added by the framework. Defaults to
``False``.
Returns:
str: string representation of th... | falcon/inspect.py | to_string | hzdwang/falcon-1 | python | def to_string(self, verbose=False, internal=False) -> str:
'Return a string representation of this class.\n\n Args:\n verbose (bool, optional): Adds more information. Defaults to False.\n internal (bool, optional): Also include internal route methods\n and error handlers ... |
def to_string(self, verbose=False, internal=False, name='') -> str:
"Return a string representation of this class.\n\n Args:\n verbose (bool, optional): Adds more information. Defaults to False.\n internal (bool, optional): Also include internal falcon route methods\n and... | 3,752,347,903,184,052,700 | Return a string representation of this class.
Args:
verbose (bool, optional): Adds more information. Defaults to False.
internal (bool, optional): Also include internal falcon route methods
and error handlers. Defaults to ``False``.
name (str, optional): The name of the application, to be output at... | falcon/inspect.py | to_string | hzdwang/falcon-1 | python | def to_string(self, verbose=False, internal=False, name=) -> str:
"Return a string representation of this class.\n\n Args:\n verbose (bool, optional): Adds more information. Defaults to False.\n internal (bool, optional): Also include internal falcon route methods\n and e... |
def process(self, instance: _Traversable):
'Process the instance, by calling the appropriate visit method.\n\n Uses the `__visit_name__` attribute of the `instance` to obtain the method to use.\n\n Args:\n instance (_Traversable): The instance to process.\n '
try:
return ... | 4,237,623,031,210,916,400 | Process the instance, by calling the appropriate visit method.
Uses the `__visit_name__` attribute of the `instance` to obtain the method to use.
Args:
instance (_Traversable): The instance to process. | falcon/inspect.py | process | hzdwang/falcon-1 | python | def process(self, instance: _Traversable):
'Process the instance, by calling the appropriate visit method.\n\n Uses the `__visit_name__` attribute of the `instance` to obtain the method to use.\n\n Args:\n instance (_Traversable): The instance to process.\n '
try:
return ... |
@property
def tab(self):
'Get the current tabulation.'
return (' ' * self.indent) | -6,399,728,926,710,062,000 | Get the current tabulation. | falcon/inspect.py | tab | hzdwang/falcon-1 | python | @property
def tab(self):
return (' ' * self.indent) |
def visit_route_method(self, route_method: RouteMethodInfo) -> str:
'Visit a RouteMethodInfo instance. Usually called by `process`.'
text = '{0.method} - {0.function_name}'.format(route_method)
if self.verbose:
text += ' ({0.source_info})'.format(route_method)
return text | 7,306,008,936,031,749,000 | Visit a RouteMethodInfo instance. Usually called by `process`. | falcon/inspect.py | visit_route_method | hzdwang/falcon-1 | python | def visit_route_method(self, route_method: RouteMethodInfo) -> str:
text = '{0.method} - {0.function_name}'.format(route_method)
if self.verbose:
text += ' ({0.source_info})'.format(route_method)
return text |
def _methods_to_string(self, methods: List):
'Return a string from the list of methods.'
tab = (self.tab + (' ' * 3))
methods = _filter_internal(methods, self.internal)
if (not methods):
return ''
text_list = [self.process(m) for m in methods]
method_text = ['{}├── {}'.format(tab, m) for... | -4,648,375,267,960,320,000 | Return a string from the list of methods. | falcon/inspect.py | _methods_to_string | hzdwang/falcon-1 | python | def _methods_to_string(self, methods: List):
tab = (self.tab + (' ' * 3))
methods = _filter_internal(methods, self.internal)
if (not methods):
return
text_list = [self.process(m) for m in methods]
method_text = ['{}├── {}'.format(tab, m) for m in text_list[:(- 1)]]
method_text += [... |
def visit_route(self, route: RouteInfo) -> str:
'Visit a RouteInfo instance. Usually called by `process`.'
text = '{0}⇒ {1.path} - {1.class_name}'.format(self.tab, route)
if self.verbose:
text += ' ({0.source_info})'.format(route)
method_text = self._methods_to_string(route.methods)
if (not ... | 2,163,025,547,150,710,300 | Visit a RouteInfo instance. Usually called by `process`. | falcon/inspect.py | visit_route | hzdwang/falcon-1 | python | def visit_route(self, route: RouteInfo) -> str:
text = '{0}⇒ {1.path} - {1.class_name}'.format(self.tab, route)
if self.verbose:
text += ' ({0.source_info})'.format(route)
method_text = self._methods_to_string(route.methods)
if (not method_text):
return text
return '{}:\n{}'.for... |
def visit_static_route(self, static_route: StaticRouteInfo) -> str:
'Visit a StaticRouteInfo instance. Usually called by `process`.'
text = '{0}↦ {1.prefix} {1.directory}'.format(self.tab, static_route)
if static_route.fallback_filename:
text += ' [{0.fallback_filename}]'.format(static_route)
re... | 7,074,009,647,409,785,000 | Visit a StaticRouteInfo instance. Usually called by `process`. | falcon/inspect.py | visit_static_route | hzdwang/falcon-1 | python | def visit_static_route(self, static_route: StaticRouteInfo) -> str:
text = '{0}↦ {1.prefix} {1.directory}'.format(self.tab, static_route)
if static_route.fallback_filename:
text += ' [{0.fallback_filename}]'.format(static_route)
return text |
def visit_sink(self, sink: SinkInfo) -> str:
'Visit a SinkInfo instance. Usually called by `process`.'
text = '{0}⇥ {1.prefix} {1.name}'.format(self.tab, sink)
if self.verbose:
text += ' ({0.source_info})'.format(sink)
return text | 3,417,290,023,421,739,000 | Visit a SinkInfo instance. Usually called by `process`. | falcon/inspect.py | visit_sink | hzdwang/falcon-1 | python | def visit_sink(self, sink: SinkInfo) -> str:
text = '{0}⇥ {1.prefix} {1.name}'.format(self.tab, sink)
if self.verbose:
text += ' ({0.source_info})'.format(sink)
return text |
def visit_error_handler(self, error_handler: ErrorHandlerInfo) -> str:
'Visit a ErrorHandlerInfo instance. Usually called by `process`.'
text = '{0}⇜ {1.error} {1.name}'.format(self.tab, error_handler)
if self.verbose:
text += ' ({0.source_info})'.format(error_handler)
return text | -205,411,815,747,033,000 | Visit a ErrorHandlerInfo instance. Usually called by `process`. | falcon/inspect.py | visit_error_handler | hzdwang/falcon-1 | python | def visit_error_handler(self, error_handler: ErrorHandlerInfo) -> str:
text = '{0}⇜ {1.error} {1.name}'.format(self.tab, error_handler)
if self.verbose:
text += ' ({0.source_info})'.format(error_handler)
return text |
def visit_middleware_method(self, middleware_method: MiddlewareMethodInfo) -> str:
'Visit a MiddlewareMethodInfo instance. Usually called by `process`.'
text = '{0.function_name}'.format(middleware_method)
if self.verbose:
text += ' ({0.source_info})'.format(middleware_method)
return text | 7,950,787,544,159,926,000 | Visit a MiddlewareMethodInfo instance. Usually called by `process`. | falcon/inspect.py | visit_middleware_method | hzdwang/falcon-1 | python | def visit_middleware_method(self, middleware_method: MiddlewareMethodInfo) -> str:
text = '{0.function_name}'.format(middleware_method)
if self.verbose:
text += ' ({0.source_info})'.format(middleware_method)
return text |
def visit_middleware_class(self, middleware_class: MiddlewareClassInfo) -> str:
'Visit a ErrorHandlerInfo instance. Usually called by `process`.'
text = '{0}↣ {1.name}'.format(self.tab, middleware_class)
if self.verbose:
text += ' ({0.source_info})'.format(middleware_class)
method_text = self._m... | 737,925,779,832,650,900 | Visit a ErrorHandlerInfo instance. Usually called by `process`. | falcon/inspect.py | visit_middleware_class | hzdwang/falcon-1 | python | def visit_middleware_class(self, middleware_class: MiddlewareClassInfo) -> str:
text = '{0}↣ {1.name}'.format(self.tab, middleware_class)
if self.verbose:
text += ' ({0.source_info})'.format(middleware_class)
method_text = self._methods_to_string(middleware_class.methods)
if (not method_tex... |
def visit_middleware_tree_item(self, mti: MiddlewareTreeItemInfo) -> str:
'Visit a MiddlewareTreeItemInfo instance. Usually called by `process`.'
symbol = mti._symbols.get(mti.name, '→')
return '{0}{1} {2.class_name}.{2.name}'.format(self.tab, symbol, mti) | 1,270,719,916,785,987,300 | Visit a MiddlewareTreeItemInfo instance. Usually called by `process`. | falcon/inspect.py | visit_middleware_tree_item | hzdwang/falcon-1 | python | def visit_middleware_tree_item(self, mti: MiddlewareTreeItemInfo) -> str:
symbol = mti._symbols.get(mti.name, '→')
return '{0}{1} {2.class_name}.{2.name}'.format(self.tab, symbol, mti) |
def visit_middleware_tree(self, m_tree: MiddlewareTreeInfo) -> str:
'Visit a MiddlewareTreeInfo instance. Usually called by `process`.'
before = (len(m_tree.request) + len(m_tree.resource))
after = len(m_tree.response)
if ((before + after) == 0):
return ''
each = 2
initial = self.indent
... | -5,830,221,220,495,931,000 | Visit a MiddlewareTreeInfo instance. Usually called by `process`. | falcon/inspect.py | visit_middleware_tree | hzdwang/falcon-1 | python | def visit_middleware_tree(self, m_tree: MiddlewareTreeInfo) -> str:
before = (len(m_tree.request) + len(m_tree.resource))
after = len(m_tree.response)
if ((before + after) == 0):
return
each = 2
initial = self.indent
if (after > before):
self.indent += (each * (after - befo... |
def visit_middleware(self, middleware: MiddlewareInfo) -> str:
'Visit a MiddlewareInfo instance. Usually called by `process`.'
text = self.process(middleware.middleware_tree)
if self.verbose:
self.indent += 4
m_text = '\n'.join((self.process(m) for m in middleware.middleware_classes))
... | -6,325,941,541,130,197,000 | Visit a MiddlewareInfo instance. Usually called by `process`. | falcon/inspect.py | visit_middleware | hzdwang/falcon-1 | python | def visit_middleware(self, middleware: MiddlewareInfo) -> str:
text = self.process(middleware.middleware_tree)
if self.verbose:
self.indent += 4
m_text = '\n'.join((self.process(m) for m in middleware.middleware_classes))
self.indent -= 4
if m_text:
text += '\n{}... |
def visit_app(self, app: AppInfo) -> str:
'Visit a AppInfo instance. Usually called by `process`.'
type_ = ('ASGI' if app.asgi else 'WSGI')
self.indent = 4
text = '{} ({})'.format((self.name or 'Falcon App'), type_)
if app.routes:
routes = '\n'.join((self.process(r) for r in app.routes))
... | 6,827,144,084,587,439,000 | Visit a AppInfo instance. Usually called by `process`. | falcon/inspect.py | visit_app | hzdwang/falcon-1 | python | def visit_app(self, app: AppInfo) -> str:
type_ = ('ASGI' if app.asgi else 'WSGI')
self.indent = 4
text = '{} ({})'.format((self.name or 'Falcon App'), type_)
if app.routes:
routes = '\n'.join((self.process(r) for r in app.routes))
text += '\n• Routes:\n{}'.format(routes)
middle... |
def get_lbs_for_random_crop(crop_size, data_shape, margins):
'\n :param crop_size:\n :param data_shape: (b,c,x,y(,z)) must be the whole thing!\n :param margins:\n :return:\n '
lbs = []
for i in range((len(data_shape) - 2)):
if (((data_shape[(i + 2)] - crop_size[i]) - margins[i]) > mar... | 293,492,568,942,654,500 | :param crop_size:
:param data_shape: (b,c,x,y(,z)) must be the whole thing!
:param margins:
:return: | data/crop_and_pad_augmentations.py | get_lbs_for_random_crop | bowang-lab/shape-attentive-unet | python | def get_lbs_for_random_crop(crop_size, data_shape, margins):
'\n :param crop_size:\n :param data_shape: (b,c,x,y(,z)) must be the whole thing!\n :param margins:\n :return:\n '
lbs = []
for i in range((len(data_shape) - 2)):
if (((data_shape[(i + 2)] - crop_size[i]) - margins[i]) > mar... |
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