body_hash stringlengths 64 64 | body stringlengths 23 109k | docstring stringlengths 1 57k | path stringlengths 4 198 | name stringlengths 1 115 | repository_name stringlengths 7 111 | repository_stars float64 0 191k | lang stringclasses 1
value | body_without_docstring stringlengths 14 108k | unified stringlengths 45 133k |
|---|---|---|---|---|---|---|---|---|---|
f70b659426173060fff3c726832b8330c87eac5c44428b67318809f76a6e330e | def __getitem__(self, item):
'A shorthand for get_rule.\n\n Parameters\n ----------\n item : str\n\n Returns\n -------\n BoltzmannSamplerBase\n '
return self._rules[item] | A shorthand for get_rule.
Parameters
----------
item : str
Returns
-------
BoltzmannSamplerBase | pyboltzmann/decomposition_grammar.py | __getitem__ | towink/boltzmann-planar-graph | 0 | python | def __getitem__(self, item):
'A shorthand for get_rule.\n\n Parameters\n ----------\n item : str\n\n Returns\n -------\n BoltzmannSamplerBase\n '
return self._rules[item] | def __getitem__(self, item):
'A shorthand for get_rule.\n\n Parameters\n ----------\n item : str\n\n Returns\n -------\n BoltzmannSamplerBase\n '
return self._rules[item]<|docstring|>A shorthand for get_rule.
Parameters
----------
item : str
Returns
-------
Bol... |
f2bd2623798b1119f3b53d7c98605588727bac6a275b55f42d12cc7335d94650 | @property
def rules(self):
'Gets the rules in the grammar.\n\n Returns\n -------\n rules : dict\n '
return self._rules | Gets the rules in the grammar.
Returns
-------
rules : dict | pyboltzmann/decomposition_grammar.py | rules | towink/boltzmann-planar-graph | 0 | python | @property
def rules(self):
'Gets the rules in the grammar.\n\n Returns\n -------\n rules : dict\n '
return self._rules | @property
def rules(self):
'Gets the rules in the grammar.\n\n Returns\n -------\n rules : dict\n '
return self._rules<|docstring|>Gets the rules in the grammar.
Returns
-------
rules : dict<|endoftext|> |
53d4054f5d984e91c689516501e96c8bd15cb00e232d10363941f59b4791f3d2 | @rules.setter
def rules(self, rules):
'Adds the given set of rules.\n\n Parameters\n ----------\n rules : dict\n The rules to be added.\n '
for alias in rules:
self[alias] = rules[alias] | Adds the given set of rules.
Parameters
----------
rules : dict
The rules to be added. | pyboltzmann/decomposition_grammar.py | rules | towink/boltzmann-planar-graph | 0 | python | @rules.setter
def rules(self, rules):
'Adds the given set of rules.\n\n Parameters\n ----------\n rules : dict\n The rules to be added.\n '
for alias in rules:
self[alias] = rules[alias] | @rules.setter
def rules(self, rules):
'Adds the given set of rules.\n\n Parameters\n ----------\n rules : dict\n The rules to be added.\n '
for alias in rules:
self[alias] = rules[alias]<|docstring|>Adds the given set of rules.
Parameters
----------
rules : dict
... |
b3b66fa77870ba9a3f2d31857c4fbca50191ac5ca35698c23e037325cd90f808 | def add_rules(self, rules):
'Adds the given set of rules.\n\n Parameters\n ----------\n rules : dict\n The rules to be added.\n '
for alias in rules:
self[alias] = rules[alias] | Adds the given set of rules.
Parameters
----------
rules : dict
The rules to be added. | pyboltzmann/decomposition_grammar.py | add_rules | towink/boltzmann-planar-graph | 0 | python | def add_rules(self, rules):
'Adds the given set of rules.\n\n Parameters\n ----------\n rules : dict\n The rules to be added.\n '
for alias in rules:
self[alias] = rules[alias] | def add_rules(self, rules):
'Adds the given set of rules.\n\n Parameters\n ----------\n rules : dict\n The rules to be added.\n '
for alias in rules:
self[alias] = rules[alias]<|docstring|>Adds the given set of rules.
Parameters
----------
rules : dict
The rul... |
c3b597ab85f9024cd2c66a51d88aec99d4872666e45491c92c56e17e1ce81ae0 | @property
@_only_if_initialized
def recursive_rules(self):
'Gets the recursive rules in this grammar.\n\n May only be called after initialization.\n\n Returns\n -------\n rules : set of str\n The aliases of all recursive rules in this grammar.\n '
return sorted(self... | Gets the recursive rules in this grammar.
May only be called after initialization.
Returns
-------
rules : set of str
The aliases of all recursive rules in this grammar. | pyboltzmann/decomposition_grammar.py | recursive_rules | towink/boltzmann-planar-graph | 0 | python | @property
@_only_if_initialized
def recursive_rules(self):
'Gets the recursive rules in this grammar.\n\n May only be called after initialization.\n\n Returns\n -------\n rules : set of str\n The aliases of all recursive rules in this grammar.\n '
return sorted(self... | @property
@_only_if_initialized
def recursive_rules(self):
'Gets the recursive rules in this grammar.\n\n May only be called after initialization.\n\n Returns\n -------\n rules : set of str\n The aliases of all recursive rules in this grammar.\n '
return sorted(self... |
b632126fffabeaa5d65284ecb8cffda6c015481620b0d662d52ab02d8df5cf36 | @_only_if_initialized
def is_recursive_rule(self, alias):
'Checks if the rule corresponding to the given alias is recursive.\n\n Parameters\n ----------\n alias: str\n\n Returns\n -------\n is_recursive : bool\n '
return (alias in self._recursive_rules) | Checks if the rule corresponding to the given alias is recursive.
Parameters
----------
alias: str
Returns
-------
is_recursive : bool | pyboltzmann/decomposition_grammar.py | is_recursive_rule | towink/boltzmann-planar-graph | 0 | python | @_only_if_initialized
def is_recursive_rule(self, alias):
'Checks if the rule corresponding to the given alias is recursive.\n\n Parameters\n ----------\n alias: str\n\n Returns\n -------\n is_recursive : bool\n '
return (alias in self._recursive_rules) | @_only_if_initialized
def is_recursive_rule(self, alias):
'Checks if the rule corresponding to the given alias is recursive.\n\n Parameters\n ----------\n alias: str\n\n Returns\n -------\n is_recursive : bool\n '
return (alias in self._recursive_rules)<|docstrin... |
a297f3b5ed79ab39fd04a3f60172f069107c2ccbfbb3aceb8a877db6519e0637 | @_only_if_initialized
def dummy_sampling_mode(self, delete_transformations=False):
'Changes the state of the grammar to the dummy sampling mode.\n\n A dummy object only records its size but otherwise has no internal\n structure which is useful for testing sizes. This will overwrite\n existing b... | Changes the state of the grammar to the dummy sampling mode.
A dummy object only records its size but otherwise has no internal
structure which is useful for testing sizes. This will overwrite
existing builder information. After this operation, dummies can be
sampled with sample(...). | pyboltzmann/decomposition_grammar.py | dummy_sampling_mode | towink/boltzmann-planar-graph | 0 | python | @_only_if_initialized
def dummy_sampling_mode(self, delete_transformations=False):
'Changes the state of the grammar to the dummy sampling mode.\n\n A dummy object only records its size but otherwise has no internal\n structure which is useful for testing sizes. This will overwrite\n existing b... | @_only_if_initialized
def dummy_sampling_mode(self, delete_transformations=False):
'Changes the state of the grammar to the dummy sampling mode.\n\n A dummy object only records its size but otherwise has no internal\n structure which is useful for testing sizes. This will overwrite\n existing b... |
8165fd146cd86e00c0a567c2e62adb779c7fbfcea5bca0aba88ef30138bacc02 | @_only_if_initialized
def sample_iterative(self, alias):
'Samples from the rule identified by `alias` in an iterative manner.\n\n Parameters\n ----------\n alias : str\n The rule to be sampled from\n\n Traverses the decomposition tree in post-order.\n The tree may be ar... | Samples from the rule identified by `alias` in an iterative manner.
Parameters
----------
alias : str
The rule to be sampled from
Traverses the decomposition tree in post-order.
The tree may be arbitrarily large and is expanded on the fly. | pyboltzmann/decomposition_grammar.py | sample_iterative | towink/boltzmann-planar-graph | 0 | python | @_only_if_initialized
def sample_iterative(self, alias):
'Samples from the rule identified by `alias` in an iterative manner.\n\n Parameters\n ----------\n alias : str\n The rule to be sampled from\n\n Traverses the decomposition tree in post-order.\n The tree may be ar... | @_only_if_initialized
def sample_iterative(self, alias):
'Samples from the rule identified by `alias` in an iterative manner.\n\n Parameters\n ----------\n alias : str\n The rule to be sampled from\n\n Traverses the decomposition tree in post-order.\n The tree may be ar... |
6d957453bdd5bace12b0e43cc7d13585fd229a252844e2f9c755ff4d8cbaf2e2 | @objc_method
def application_didChangeStatusBarOrientation_(self, application, oldStatusBarOrientation: int) -> None:
' This callback is invoked when rotating the device from landscape to portrait and vice versa. '
App.app.interface.main_window.content.refresh() | This callback is invoked when rotating the device from landscape to portrait and vice versa. | src/iOS/toga_iOS/app.py | application_didChangeStatusBarOrientation_ | SamSchott/toga | 1,261 | python | @objc_method
def application_didChangeStatusBarOrientation_(self, application, oldStatusBarOrientation: int) -> None:
' '
App.app.interface.main_window.content.refresh() | @objc_method
def application_didChangeStatusBarOrientation_(self, application, oldStatusBarOrientation: int) -> None:
' '
App.app.interface.main_window.content.refresh()<|docstring|>This callback is invoked when rotating the device from landscape to portrait and vice versa.<|endoftext|> |
fec8e71879e40c5dea48e76a880cf092305986a2f52306d78005e2e2f636246e | def create(self):
' Calls the startup method on the interface '
self.interface.startup() | Calls the startup method on the interface | src/iOS/toga_iOS/app.py | create | SamSchott/toga | 1,261 | python | def create(self):
' '
self.interface.startup() | def create(self):
' '
self.interface.startup()<|docstring|>Calls the startup method on the interface<|endoftext|> |
4cb8999ff2dc43be03de4d4a676306b32c2e70bb26e0b9495ee871672e53ae6e | def open_document(self, fileURL):
' Add a new document to this app.'
pass | Add a new document to this app. | src/iOS/toga_iOS/app.py | open_document | SamSchott/toga | 1,261 | python | def open_document(self, fileURL):
' '
pass | def open_document(self, fileURL):
' '
pass<|docstring|>Add a new document to this app.<|endoftext|> |
bd8d14fe5391d1c5eaf57963baeb6acb8033c21b2eea6a6845d3f7e0f957b495 | def preprocess(self, seg):
' Applies the MosesTokenizer to seg.src\n '
seg.src = ' '.join(self._mtk.tokenize(seg.src, escape=False)) | Applies the MosesTokenizer to seg.src | pangeamt_nlp/processors/moses_tokenizer_processor.py | preprocess | Pangeamt/pangeamt-nlp-deprecated | 1 | python | def preprocess(self, seg):
' \n '
seg.src = ' '.join(self._mtk.tokenize(seg.src, escape=False)) | def preprocess(self, seg):
' \n '
seg.src = ' '.join(self._mtk.tokenize(seg.src, escape=False))<|docstring|>Applies the MosesTokenizer to seg.src<|endoftext|> |
a6093f0bcb365f619c7222f504765dd3f32c9734b370e856a59a5a42385cf631 | def postprocess(self, seg):
' Applies the MosesDetokenizer to seg.tgt\n '
seg.tgt = self._mdk.detokenize(seg.tgt.split(' ')) | Applies the MosesDetokenizer to seg.tgt | pangeamt_nlp/processors/moses_tokenizer_processor.py | postprocess | Pangeamt/pangeamt-nlp-deprecated | 1 | python | def postprocess(self, seg):
' \n '
seg.tgt = self._mdk.detokenize(seg.tgt.split(' ')) | def postprocess(self, seg):
' \n '
seg.tgt = self._mdk.detokenize(seg.tgt.split(' '))<|docstring|>Applies the MosesDetokenizer to seg.tgt<|endoftext|> |
918f11ae10c0bde463bb6cee5e15ca221ed58660815b2d4baf0cb8cc376aabee | def build_model(input_shape: tuple, target_shape: tuple) -> keras.Model:
"\n Do NOT change it here if you want to use a different build function.\n Create your own build function that matches this function's signature and pass it to the network's\n constructor.\n\n :param input_shape: shape of one input... | Do NOT change it here if you want to use a different build function.
Create your own build function that matches this function's signature and pass it to the network's
constructor.
:param input_shape: shape of one input sample, e.g. (lookback, num_features)
:param target_shape: shape of one target vector, e.g. 1 for a... | datamodels/neuralnetwork.py | build_model | aleksapand/timeseriesmodeling | 0 | python | def build_model(input_shape: tuple, target_shape: tuple) -> keras.Model:
"\n Do NOT change it here if you want to use a different build function.\n Create your own build function that matches this function's signature and pass it to the network's\n constructor.\n\n :param input_shape: shape of one input... | def build_model(input_shape: tuple, target_shape: tuple) -> keras.Model:
"\n Do NOT change it here if you want to use a different build function.\n Create your own build function that matches this function's signature and pass it to the network's\n constructor.\n\n :param input_shape: shape of one input... |
255bfe158ab18275c57faa1a8ed4224f1f82784259c5198b95491f12143934cb | def compile_model(model: keras.Model):
"\n Do NOT change it here if you want to use a different build function.\n Create your own compile function that matches this function's signature and pass it to the network's\n constructor.\n\n :param model: a keras model\n "
optimizer = keras.optimizers.RM... | Do NOT change it here if you want to use a different build function.
Create your own compile function that matches this function's signature and pass it to the network's
constructor.
:param model: a keras model | datamodels/neuralnetwork.py | compile_model | aleksapand/timeseriesmodeling | 0 | python | def compile_model(model: keras.Model):
"\n Do NOT change it here if you want to use a different build function.\n Create your own compile function that matches this function's signature and pass it to the network's\n constructor.\n\n :param model: a keras model\n "
optimizer = keras.optimizers.RM... | def compile_model(model: keras.Model):
"\n Do NOT change it here if you want to use a different build function.\n Create your own compile function that matches this function's signature and pass it to the network's\n constructor.\n\n :param model: a keras model\n "
optimizer = keras.optimizers.RM... |
8695f8b92fb0c2aef912a9302d55d2c0904f978c8f35dc621669ecfd9175207e | def train_model(model, x_train, y_train) -> keras.callbacks.History:
"\n Do NOT change it here if you want to use a different build function.\n Create your own train function that matches this function's signature and pass it to the network's\n constructor.\n\n :param x_train, y_train: feature and targe... | Do NOT change it here if you want to use a different build function.
Create your own train function that matches this function's signature and pass it to the network's
constructor.
:param x_train, y_train: feature and target vectors | datamodels/neuralnetwork.py | train_model | aleksapand/timeseriesmodeling | 0 | python | def train_model(model, x_train, y_train) -> keras.callbacks.History:
"\n Do NOT change it here if you want to use a different build function.\n Create your own train function that matches this function's signature and pass it to the network's\n constructor.\n\n :param x_train, y_train: feature and targe... | def train_model(model, x_train, y_train) -> keras.callbacks.History:
"\n Do NOT change it here if you want to use a different build function.\n Create your own train function that matches this function's signature and pass it to the network's\n constructor.\n\n :param x_train, y_train: feature and targe... |
df80476868cb129d9859378cca60b188797354f40eb2d1731cf7d7ac1f436275 | def create_round_thumbnail(image):
'\n Create a circle thumbnail 80px wide, given a thumbnail image\n \n :param image: QImage to process\n :returns: QPixmap object\n '
CANVAS_SIZE = 80
base_image = QtGui.QPixmap(CANVAS_SIZE, CANVAS_SIZE)
base_image.fill(QtCore.Qt.transparent)
thumb = ... | Create a circle thumbnail 80px wide, given a thumbnail image
:param image: QImage to process
:returns: QPixmap object | install/app_store/tk-framework-qtwidgets/v2.6.5/python/activity_stream/utils.py | create_round_thumbnail | JoanAzpeitia/lp_sg | 0 | python | def create_round_thumbnail(image):
'\n Create a circle thumbnail 80px wide, given a thumbnail image\n \n :param image: QImage to process\n :returns: QPixmap object\n '
CANVAS_SIZE = 80
base_image = QtGui.QPixmap(CANVAS_SIZE, CANVAS_SIZE)
base_image.fill(QtCore.Qt.transparent)
thumb = ... | def create_round_thumbnail(image):
'\n Create a circle thumbnail 80px wide, given a thumbnail image\n \n :param image: QImage to process\n :returns: QPixmap object\n '
CANVAS_SIZE = 80
base_image = QtGui.QPixmap(CANVAS_SIZE, CANVAS_SIZE)
base_image.fill(QtCore.Qt.transparent)
thumb = ... |
4eabe374905d712610f5677925a7a47c8621cb30c83ac5beeb002df9bd87e0bd | def create_square_48_thumbnail(image):
'\n Given a thumbnail image, create a 48px square image\n \n :param image: QImage with thumbnail\n :returns: QPixmap object\n '
return __create_rounded_rect_thumbnail(image, 48, 48, 4) | Given a thumbnail image, create a 48px square image
:param image: QImage with thumbnail
:returns: QPixmap object | install/app_store/tk-framework-qtwidgets/v2.6.5/python/activity_stream/utils.py | create_square_48_thumbnail | JoanAzpeitia/lp_sg | 0 | python | def create_square_48_thumbnail(image):
'\n Given a thumbnail image, create a 48px square image\n \n :param image: QImage with thumbnail\n :returns: QPixmap object\n '
return __create_rounded_rect_thumbnail(image, 48, 48, 4) | def create_square_48_thumbnail(image):
'\n Given a thumbnail image, create a 48px square image\n \n :param image: QImage with thumbnail\n :returns: QPixmap object\n '
return __create_rounded_rect_thumbnail(image, 48, 48, 4)<|docstring|>Given a thumbnail image, create a 48px square image
:param i... |
3eb9bb9c46a180ed5a464434d2a14e48f6f46be03987d21627722cb28b83cf9d | def create_rectangular_256x144_thumbnail(image):
'\n Given a thumbnail image, create a 256x144px image\n \n :param image: QImage with thumbnail\n :returns: QPixmap object\n '
return __create_rounded_rect_thumbnail(image, 256, 144, 5) | Given a thumbnail image, create a 256x144px image
:param image: QImage with thumbnail
:returns: QPixmap object | install/app_store/tk-framework-qtwidgets/v2.6.5/python/activity_stream/utils.py | create_rectangular_256x144_thumbnail | JoanAzpeitia/lp_sg | 0 | python | def create_rectangular_256x144_thumbnail(image):
'\n Given a thumbnail image, create a 256x144px image\n \n :param image: QImage with thumbnail\n :returns: QPixmap object\n '
return __create_rounded_rect_thumbnail(image, 256, 144, 5) | def create_rectangular_256x144_thumbnail(image):
'\n Given a thumbnail image, create a 256x144px image\n \n :param image: QImage with thumbnail\n :returns: QPixmap object\n '
return __create_rounded_rect_thumbnail(image, 256, 144, 5)<|docstring|>Given a thumbnail image, create a 256x144px image
... |
419db4d71f7b4ba60c4fab066cce1216bf7e04a6a8db500eb64341144a82fdef | def __create_rounded_rect_thumbnail(image, canvas_width, canvas_height, radius):
'\n Given a qimage shotgun thumbnail, create a publish icon\n with the thumbnail composited onto a centered otherwise empty canvas.\n The thumbnail will be taking up all the space in the image.\n \n :param image: QImage ... | Given a qimage shotgun thumbnail, create a publish icon
with the thumbnail composited onto a centered otherwise empty canvas.
The thumbnail will be taking up all the space in the image.
:param image: QImage to load thumbnail from
:param canvas_width: Width of image to generate, in pixels
:param canvas_height: Heiht of... | install/app_store/tk-framework-qtwidgets/v2.6.5/python/activity_stream/utils.py | __create_rounded_rect_thumbnail | JoanAzpeitia/lp_sg | 0 | python | def __create_rounded_rect_thumbnail(image, canvas_width, canvas_height, radius):
'\n Given a qimage shotgun thumbnail, create a publish icon\n with the thumbnail composited onto a centered otherwise empty canvas.\n The thumbnail will be taking up all the space in the image.\n \n :param image: QImage ... | def __create_rounded_rect_thumbnail(image, canvas_width, canvas_height, radius):
'\n Given a qimage shotgun thumbnail, create a publish icon\n with the thumbnail composited onto a centered otherwise empty canvas.\n The thumbnail will be taking up all the space in the image.\n \n :param image: QImage ... |
61812685ecbf2ef3d820bb8c0711d104dc89a35a79eb9e429d84ed92c5de31a1 | def decode_raw_1(mac, rssi, data):
'RuuviTag RAW 1 decoder'
humidity = (data[3] / 2)
temperature = (data[4] + (data[5] / 100))
if (temperature > 128):
temperature -= 128
temperature = round((0 - temperature), 2)
pressure = (ustruct.unpack('!H', data[6:8])[0] + 50000)
acceleration... | RuuviTag RAW 1 decoder | ruuvitag/decoder.py | decode_raw_1 | rroemhild/micropython-ruuvitag | 13 | python | def decode_raw_1(mac, rssi, data):
humidity = (data[3] / 2)
temperature = (data[4] + (data[5] / 100))
if (temperature > 128):
temperature -= 128
temperature = round((0 - temperature), 2)
pressure = (ustruct.unpack('!H', data[6:8])[0] + 50000)
acceleration_x = ustruct.unpack('!h'... | def decode_raw_1(mac, rssi, data):
humidity = (data[3] / 2)
temperature = (data[4] + (data[5] / 100))
if (temperature > 128):
temperature -= 128
temperature = round((0 - temperature), 2)
pressure = (ustruct.unpack('!H', data[6:8])[0] + 50000)
acceleration_x = ustruct.unpack('!h'... |
9fee41540ffc41e7dc1d95eb15aed88d7d01f515cf1f827989cbc4b8e0513277 | def decode_raw_2(mac, rssi, data):
'RuuviTag RAW 2 decoder'
temperature = (ustruct.unpack('!h', data[3:5])[0] * 0.005)
humidity = (ustruct.unpack('!H', data[5:7])[0] * 0.0025)
pressure = (ustruct.unpack('!H', data[7:9])[0] + 50000)
acceleration_x = ustruct.unpack('!h', data[9:11])[0]
acceleratio... | RuuviTag RAW 2 decoder | ruuvitag/decoder.py | decode_raw_2 | rroemhild/micropython-ruuvitag | 13 | python | def decode_raw_2(mac, rssi, data):
temperature = (ustruct.unpack('!h', data[3:5])[0] * 0.005)
humidity = (ustruct.unpack('!H', data[5:7])[0] * 0.0025)
pressure = (ustruct.unpack('!H', data[7:9])[0] + 50000)
acceleration_x = ustruct.unpack('!h', data[9:11])[0]
acceleration_y = ustruct.unpack('!h... | def decode_raw_2(mac, rssi, data):
temperature = (ustruct.unpack('!h', data[3:5])[0] * 0.005)
humidity = (ustruct.unpack('!H', data[5:7])[0] * 0.0025)
pressure = (ustruct.unpack('!H', data[7:9])[0] + 50000)
acceleration_x = ustruct.unpack('!h', data[9:11])[0]
acceleration_y = ustruct.unpack('!h... |
6d3c37851e781304f7f7513a5fc4886d87dd439428a7e2e14c865d9a0a2f2ccf | def get_all_files_in_folder(file_path, file_extensions=None):
'\n\tThis function returns all files in a given directory.\n\tIf file_extension is specified, only files with that file extension will be returned.\n\t'
if (not file_extensions):
return [file for file in os.listdir(file_path) if os.path.isfil... | This function returns all files in a given directory.
If file_extension is specified, only files with that file extension will be returned. | app/helpers/filesystem_helper.py | get_all_files_in_folder | ZelphirKaltstahl/MarkdownBlog | 0 | python | def get_all_files_in_folder(file_path, file_extensions=None):
'\n\tThis function returns all files in a given directory.\n\tIf file_extension is specified, only files with that file extension will be returned.\n\t'
if (not file_extensions):
return [file for file in os.listdir(file_path) if os.path.isfil... | def get_all_files_in_folder(file_path, file_extensions=None):
'\n\tThis function returns all files in a given directory.\n\tIf file_extension is specified, only files with that file extension will be returned.\n\t'
if (not file_extensions):
return [file for file in os.listdir(file_path) if os.path.isfil... |
fdf021a50fe74db8a71c71c26df0c111af436e772c8f0079498cf96a9e8fe55d | def _tagList(self):
' returns a list of the tags '
fernet = FernetFactory(self.pw, self.salt)
obj = Factory(self.fileName, self.tableName)
cleanRows = []
for row in obj.tbl.all():
cleanRows.append({'ident': row.doc_id, 'tag': fernet.decrypt(row['tag'])})
obj.close()
return cleanRows | returns a list of the tags | tinydb_base/getSetSercure.py | _tagList | MechaCoder/tinydb-baseClass | 4 | python | def _tagList(self):
' '
fernet = FernetFactory(self.pw, self.salt)
obj = Factory(self.fileName, self.tableName)
cleanRows = []
for row in obj.tbl.all():
cleanRows.append({'ident': row.doc_id, 'tag': fernet.decrypt(row['tag'])})
obj.close()
return cleanRows | def _tagList(self):
' '
fernet = FernetFactory(self.pw, self.salt)
obj = Factory(self.fileName, self.tableName)
cleanRows = []
for row in obj.tbl.all():
cleanRows.append({'ident': row.doc_id, 'tag': fernet.decrypt(row['tag'])})
obj.close()
return cleanRows<|docstring|>returns a list... |
55969d6513778a05708f666cfcd8543451cafc721219a6b41ef26146adcfb6f6 | def set(self, tag: str, value: str) -> bool:
' sets data by tag'
fernet = FernetFactory(self.pw, self.salt)
tagFound = False
for row in self._tagList():
if (row['tag'] is tag):
tagFound = True
self._updateValueById(row['ident'], tag, value)
if tagFound:
return... | sets data by tag | tinydb_base/getSetSercure.py | set | MechaCoder/tinydb-baseClass | 4 | python | def set(self, tag: str, value: str) -> bool:
' '
fernet = FernetFactory(self.pw, self.salt)
tagFound = False
for row in self._tagList():
if (row['tag'] is tag):
tagFound = True
self._updateValueById(row['ident'], tag, value)
if tagFound:
return True
obj = ... | def set(self, tag: str, value: str) -> bool:
' '
fernet = FernetFactory(self.pw, self.salt)
tagFound = False
for row in self._tagList():
if (row['tag'] is tag):
tagFound = True
self._updateValueById(row['ident'], tag, value)
if tagFound:
return True
obj = ... |
615ec1762d17d520b9252f04a470b1f1d50c2f7be4b0b6d4f904cbb42bfd1921 | def get(self, tag: str) -> str:
' get the row by Tag '
obj = Factory(self.fileName, self.tableName)
fernet = FernetFactory(self.pw, self.salt)
stag = fernet.encrypt(tag)
returnVal = ''
for row in obj.tbl.all():
if (fernet.decrypt(row['tag']) == tag):
returnVal = fernet.decryp... | get the row by Tag | tinydb_base/getSetSercure.py | get | MechaCoder/tinydb-baseClass | 4 | python | def get(self, tag: str) -> str:
' '
obj = Factory(self.fileName, self.tableName)
fernet = FernetFactory(self.pw, self.salt)
stag = fernet.encrypt(tag)
returnVal =
for row in obj.tbl.all():
if (fernet.decrypt(row['tag']) == tag):
returnVal = fernet.decrypt(row['val'])
... | def get(self, tag: str) -> str:
' '
obj = Factory(self.fileName, self.tableName)
fernet = FernetFactory(self.pw, self.salt)
stag = fernet.encrypt(tag)
returnVal =
for row in obj.tbl.all():
if (fernet.decrypt(row['tag']) == tag):
returnVal = fernet.decrypt(row['val'])
... |
af325ef0a59d5a5b6939d2ee6297ce6f8f94e212ef0a70205c70ae9df119ae98 | @retry(stop=stop_after_attempt(max_tries), wait=wait_fixed(wait_seconds), before=before_log(logger, logging.INFO), after=after_log(logger, logging.WARN))
def init() -> None:
'Try to create session to check if DB is awake.'
try:
db = SessionLocal()
db.execute('SELECT 1')
except Exception as e... | Try to create session to check if DB is awake. | api/backend_pre_start.py | init | p0lygun/astounding-arapaimas | 0 | python | @retry(stop=stop_after_attempt(max_tries), wait=wait_fixed(wait_seconds), before=before_log(logger, logging.INFO), after=after_log(logger, logging.WARN))
def init() -> None:
try:
db = SessionLocal()
db.execute('SELECT 1')
except Exception as e:
logger.error(e)
raise e | @retry(stop=stop_after_attempt(max_tries), wait=wait_fixed(wait_seconds), before=before_log(logger, logging.INFO), after=after_log(logger, logging.WARN))
def init() -> None:
try:
db = SessionLocal()
db.execute('SELECT 1')
except Exception as e:
logger.error(e)
raise e<|docst... |
d8fd95e185546752aa8c6e4e64153022234915d466736a545ef36bcd99614349 | def main() -> None:
'Initialize the voting application.'
logger.info('Initializing service')
init()
logger.info('Service finished initializing') | Initialize the voting application. | api/backend_pre_start.py | main | p0lygun/astounding-arapaimas | 0 | python | def main() -> None:
logger.info('Initializing service')
init()
logger.info('Service finished initializing') | def main() -> None:
logger.info('Initializing service')
init()
logger.info('Service finished initializing')<|docstring|>Initialize the voting application.<|endoftext|> |
3d35dda0fe0030aa77666ec7bdcc6d52c6cc472cfe6b7a0440c4d4757b939734 | def mergeTwoLists(self, l1, l2):
'\n :type l1: ListNode\n :type l2: ListNode\n :rtype: ListNode\n '
if ((not l1) and (not l2)):
return None
elif (not l1):
return l2
elif (not l2):
return l1
else:
head = (l1 if (l1.val < l2.val) else l2)
... | :type l1: ListNode
:type l2: ListNode
:rtype: ListNode | src/21-MergeTwoSortedLists.py | mergeTwoLists | zhuxiang/LeetCode-Python | 0 | python | def mergeTwoLists(self, l1, l2):
'\n :type l1: ListNode\n :type l2: ListNode\n :rtype: ListNode\n '
if ((not l1) and (not l2)):
return None
elif (not l1):
return l2
elif (not l2):
return l1
else:
head = (l1 if (l1.val < l2.val) else l2)
... | def mergeTwoLists(self, l1, l2):
'\n :type l1: ListNode\n :type l2: ListNode\n :rtype: ListNode\n '
if ((not l1) and (not l2)):
return None
elif (not l1):
return l2
elif (not l2):
return l1
else:
head = (l1 if (l1.val < l2.val) else l2)
... |
db7d7f37938db1ecec5b1ace425e2339afa64fcde92ff4c6146da29b3bef4287 | def is_proposer(state: BeaconState, validator_index: ValidatorIndex, config: Eth2Config) -> bool:
'\n Return if the validator is proposer of `state.slot`.\n '
return (get_beacon_proposer_index(state, CommitteeConfig(config)) == validator_index) | Return if the validator is proposer of `state.slot`. | eth2/beacon/tools/builder/proposer.py | is_proposer | onyb/trinity | 0 | python | def is_proposer(state: BeaconState, validator_index: ValidatorIndex, config: Eth2Config) -> bool:
'\n \n '
return (get_beacon_proposer_index(state, CommitteeConfig(config)) == validator_index) | def is_proposer(state: BeaconState, validator_index: ValidatorIndex, config: Eth2Config) -> bool:
'\n \n '
return (get_beacon_proposer_index(state, CommitteeConfig(config)) == validator_index)<|docstring|>Return if the validator is proposer of `state.slot`.<|endoftext|> |
4e9b29ac1f15799fe13dee06d035157b455ab4ccac692b675040f5296ec51cc6 | def _generate_randao_reveal(privkey: int, slot: Slot, state: BeaconState, config: Eth2Config) -> BLSSignature:
'\n Return the RANDAO reveal for the validator represented by ``privkey``.\n The current implementation requires a validator to provide the BLS signature\n over the SSZ-serialized epoch in which t... | Return the RANDAO reveal for the validator represented by ``privkey``.
The current implementation requires a validator to provide the BLS signature
over the SSZ-serialized epoch in which they are proposing a block. | eth2/beacon/tools/builder/proposer.py | _generate_randao_reveal | onyb/trinity | 0 | python | def _generate_randao_reveal(privkey: int, slot: Slot, state: BeaconState, config: Eth2Config) -> BLSSignature:
'\n Return the RANDAO reveal for the validator represented by ``privkey``.\n The current implementation requires a validator to provide the BLS signature\n over the SSZ-serialized epoch in which t... | def _generate_randao_reveal(privkey: int, slot: Slot, state: BeaconState, config: Eth2Config) -> BLSSignature:
'\n Return the RANDAO reveal for the validator represented by ``privkey``.\n The current implementation requires a validator to provide the BLS signature\n over the SSZ-serialized epoch in which t... |
26ac6406eaa837478a22e2200452910a99639d05cc9465302311aa8148ec7f18 | def create_unsigned_block_on_state(*, state: BeaconState, config: Eth2Config, block_class: Type[BaseBeaconBlock], parent_block: BaseBeaconBlock, slot: Slot, attestations: Sequence[Attestation], eth1_data: Eth1Data=None, deposits: Sequence[Deposit]=None, check_proposer_index: bool=True) -> BeaconBlock:
'\n Create... | Create a beacon block with the given parameters. | eth2/beacon/tools/builder/proposer.py | create_unsigned_block_on_state | onyb/trinity | 0 | python | def create_unsigned_block_on_state(*, state: BeaconState, config: Eth2Config, block_class: Type[BaseBeaconBlock], parent_block: BaseBeaconBlock, slot: Slot, attestations: Sequence[Attestation], eth1_data: Eth1Data=None, deposits: Sequence[Deposit]=None, check_proposer_index: bool=True) -> BeaconBlock:
'\n \n ... | def create_unsigned_block_on_state(*, state: BeaconState, config: Eth2Config, block_class: Type[BaseBeaconBlock], parent_block: BaseBeaconBlock, slot: Slot, attestations: Sequence[Attestation], eth1_data: Eth1Data=None, deposits: Sequence[Deposit]=None, check_proposer_index: bool=True) -> BeaconBlock:
'\n \n ... |
aeffd78f37723d1e14e67d54f9492be13af8d4f2b1109d30d7586faf244c8d40 | def create_block_on_state(*, state: BeaconState, config: Eth2Config, state_machine: BaseBeaconStateMachine, signed_block_class: Type[BaseSignedBeaconBlock], parent_block: BaseBeaconBlock, slot: Slot, validator_index: ValidatorIndex, privkey: int, attestations: Sequence[Attestation], eth1_data: Eth1Data=None, deposits: ... | Create a beacon block with the given parameters. | eth2/beacon/tools/builder/proposer.py | create_block_on_state | onyb/trinity | 0 | python | def create_block_on_state(*, state: BeaconState, config: Eth2Config, state_machine: BaseBeaconStateMachine, signed_block_class: Type[BaseSignedBeaconBlock], parent_block: BaseBeaconBlock, slot: Slot, validator_index: ValidatorIndex, privkey: int, attestations: Sequence[Attestation], eth1_data: Eth1Data=None, deposits: ... | def create_block_on_state(*, state: BeaconState, config: Eth2Config, state_machine: BaseBeaconStateMachine, signed_block_class: Type[BaseSignedBeaconBlock], parent_block: BaseBeaconBlock, slot: Slot, validator_index: ValidatorIndex, privkey: int, attestations: Sequence[Attestation], eth1_data: Eth1Data=None, deposits: ... |
1b1264016d81594f46f2616243d5fb3cdadfb0df31d065e198286d01e6a916e1 | def create_mock_block(*, state: BeaconState, config: Eth2Config, state_machine: BaseBeaconStateMachine, signed_block_class: Type[BaseSignedBeaconBlock], parent_block: BaseSignedBeaconBlock, keymap: Dict[(BLSPubkey, int)], slot: Slot=None, attestations: Sequence[Attestation]=()) -> BaseSignedBeaconBlock:
"\n Crea... | Create a mocking block at ``slot`` with the given block parameters and ``keymap``.
Note that it doesn't return the correct ``state_root``. | eth2/beacon/tools/builder/proposer.py | create_mock_block | onyb/trinity | 0 | python | def create_mock_block(*, state: BeaconState, config: Eth2Config, state_machine: BaseBeaconStateMachine, signed_block_class: Type[BaseSignedBeaconBlock], parent_block: BaseSignedBeaconBlock, keymap: Dict[(BLSPubkey, int)], slot: Slot=None, attestations: Sequence[Attestation]=()) -> BaseSignedBeaconBlock:
"\n Crea... | def create_mock_block(*, state: BeaconState, config: Eth2Config, state_machine: BaseBeaconStateMachine, signed_block_class: Type[BaseSignedBeaconBlock], parent_block: BaseSignedBeaconBlock, keymap: Dict[(BLSPubkey, int)], slot: Slot=None, attestations: Sequence[Attestation]=()) -> BaseSignedBeaconBlock:
"\n Crea... |
f58ee86ef91e57ed6378f310b4fd36f937aeadc9593516da7b1099c751cc94eb | @abc.abstractmethod
def __getitem__(self, idx: int) -> Dict[(str, Any)]:
'Gets the ith Example from the given dataset/version/partition'
pass | Gets the ith Example from the given dataset/version/partition | wicker/core/datasets.py | __getitem__ | woven-planet/wicker | 11 | python | @abc.abstractmethod
def __getitem__(self, idx: int) -> Dict[(str, Any)]:
pass | @abc.abstractmethod
def __getitem__(self, idx: int) -> Dict[(str, Any)]:
pass<|docstring|>Gets the ith Example from the given dataset/version/partition<|endoftext|> |
170ce8bfc1436a59c3492c1034bde50f0caba4d2a7d4930c068ab111a948acc0 | @abc.abstractmethod
def __len__(self) -> int:
'Returns the length of the dataset/version/partition'
pass | Returns the length of the dataset/version/partition | wicker/core/datasets.py | __len__ | woven-planet/wicker | 11 | python | @abc.abstractmethod
def __len__(self) -> int:
pass | @abc.abstractmethod
def __len__(self) -> int:
pass<|docstring|>Returns the length of the dataset/version/partition<|endoftext|> |
64a529a88757159dcf38dc60762cab0ecd3be9d8c85c7313773085f5b2bc1514 | @abc.abstractmethod
def schema(self) -> DatasetSchema:
'Return the schema of the dataset.'
pass | Return the schema of the dataset. | wicker/core/datasets.py | schema | woven-planet/wicker | 11 | python | @abc.abstractmethod
def schema(self) -> DatasetSchema:
pass | @abc.abstractmethod
def schema(self) -> DatasetSchema:
pass<|docstring|>Return the schema of the dataset.<|endoftext|> |
c5ae546dda5e05cc3187466fd92b94352bcd71ec11aa5a3864d07352e60e1292 | @abc.abstractmethod
def arrow_table(self) -> pyarrow.Table:
'Return the pyarrow table with all the metadata fields and pointers of the dataset.'
pass | Return the pyarrow table with all the metadata fields and pointers of the dataset. | wicker/core/datasets.py | arrow_table | woven-planet/wicker | 11 | python | @abc.abstractmethod
def arrow_table(self) -> pyarrow.Table:
pass | @abc.abstractmethod
def arrow_table(self) -> pyarrow.Table:
pass<|docstring|>Return the pyarrow table with all the metadata fields and pointers of the dataset.<|endoftext|> |
baffff5357d41a6929e80e0a532cdaa54fa1231afef8b225510a46ce73ea669a | def __init__(self, dataset_name: str, dataset_version: str, dataset_partition_name: str, local_cache_path_prefix: str=os.getenv('TMPDIR', '/tmp'), columns_to_load: Optional[List[str]]=None, storage: Optional[S3DataStorage]=None, s3_path_factory: Optional[S3PathFactory]=None, pa_filesystem: Optional[pafs.FileSystem]=Non... | Initializes an S3Dataset
:param dataset_name: name of the dataset
:param dataset_version: version of the dataset
:param dataset_partition_name: partition name
:param columns_to_load: list of columns to load, defaults to None which loads all columns
:param data_service: S3DataService instance to use, defaults to None w... | wicker/core/datasets.py | __init__ | woven-planet/wicker | 11 | python | def __init__(self, dataset_name: str, dataset_version: str, dataset_partition_name: str, local_cache_path_prefix: str=os.getenv('TMPDIR', '/tmp'), columns_to_load: Optional[List[str]]=None, storage: Optional[S3DataStorage]=None, s3_path_factory: Optional[S3PathFactory]=None, pa_filesystem: Optional[pafs.FileSystem]=Non... | def __init__(self, dataset_name: str, dataset_version: str, dataset_partition_name: str, local_cache_path_prefix: str=os.getenv('TMPDIR', '/tmp'), columns_to_load: Optional[List[str]]=None, storage: Optional[S3DataStorage]=None, s3_path_factory: Optional[S3PathFactory]=None, pa_filesystem: Optional[pafs.FileSystem]=Non... |
c95875569dcc5ffc8950d2c4ece5616d06ab78164eb865331804a7f284b936a2 | def conv3x3(in_planes, out_planes, stride=1, groups=1, dilation=1):
'3x3 convolution with padding'
return nn.Conv2d(in_planes, out_planes, kernel_size=3, stride=stride, padding=dilation, groups=groups, bias=False, dilation=dilation) | 3x3 convolution with padding | trackers/ReidModels/resnet_fc.py | conv3x3 | jiangyuefeng/AlphaPose | 6,306 | python | def conv3x3(in_planes, out_planes, stride=1, groups=1, dilation=1):
return nn.Conv2d(in_planes, out_planes, kernel_size=3, stride=stride, padding=dilation, groups=groups, bias=False, dilation=dilation) | def conv3x3(in_planes, out_planes, stride=1, groups=1, dilation=1):
return nn.Conv2d(in_planes, out_planes, kernel_size=3, stride=stride, padding=dilation, groups=groups, bias=False, dilation=dilation)<|docstring|>3x3 convolution with padding<|endoftext|> |
7447c07b06cc8d16674f31fc29f40a376c8d7a0321f9f661635b233109ed88c5 | def conv1x1(in_planes, out_planes, stride=1):
'1x1 convolution'
return nn.Conv2d(in_planes, out_planes, kernel_size=1, stride=stride, bias=False) | 1x1 convolution | trackers/ReidModels/resnet_fc.py | conv1x1 | jiangyuefeng/AlphaPose | 6,306 | python | def conv1x1(in_planes, out_planes, stride=1):
return nn.Conv2d(in_planes, out_planes, kernel_size=1, stride=stride, bias=False) | def conv1x1(in_planes, out_planes, stride=1):
return nn.Conv2d(in_planes, out_planes, kernel_size=1, stride=stride, bias=False)<|docstring|>1x1 convolution<|endoftext|> |
36d0c1eaa888e011965922b1b28f3f4a0beea8fd9a448fdfb6b41d4a15b6efb8 | def init_pretrained_weights(model, model_url):
"Initializes model with pretrained weights.\n \n Layers that don't match with pretrained layers in name or size are kept unchanged.\n "
pretrain_dict = model_zoo.load_url(model_url)
model_dict = model.state_dict()
pretrain_dict = {k: v for (k, v) i... | Initializes model with pretrained weights.
Layers that don't match with pretrained layers in name or size are kept unchanged. | trackers/ReidModels/resnet_fc.py | init_pretrained_weights | jiangyuefeng/AlphaPose | 6,306 | python | def init_pretrained_weights(model, model_url):
"Initializes model with pretrained weights.\n \n Layers that don't match with pretrained layers in name or size are kept unchanged.\n "
pretrain_dict = model_zoo.load_url(model_url)
model_dict = model.state_dict()
pretrain_dict = {k: v for (k, v) i... | def init_pretrained_weights(model, model_url):
"Initializes model with pretrained weights.\n \n Layers that don't match with pretrained layers in name or size are kept unchanged.\n "
pretrain_dict = model_zoo.load_url(model_url)
model_dict = model.state_dict()
pretrain_dict = {k: v for (k, v) i... |
8706ed9ad3f499721ce198ee2f767f7af9c1514f8826e3b59e06a83f6a5e5945 | def _construct_fc_layer(self, fc_dims, input_dim, dropout_p=None):
'Constructs fully connected layer\n\n Args:\n fc_dims (list or tuple): dimensions of fc layers, if None, no fc layers are constructed\n input_dim (int): input dimension\n dropout_p (float): dropout probability... | Constructs fully connected layer
Args:
fc_dims (list or tuple): dimensions of fc layers, if None, no fc layers are constructed
input_dim (int): input dimension
dropout_p (float): dropout probability, if None, dropout is unused | trackers/ReidModels/resnet_fc.py | _construct_fc_layer | jiangyuefeng/AlphaPose | 6,306 | python | def _construct_fc_layer(self, fc_dims, input_dim, dropout_p=None):
'Constructs fully connected layer\n\n Args:\n fc_dims (list or tuple): dimensions of fc layers, if None, no fc layers are constructed\n input_dim (int): input dimension\n dropout_p (float): dropout probability... | def _construct_fc_layer(self, fc_dims, input_dim, dropout_p=None):
'Constructs fully connected layer\n\n Args:\n fc_dims (list or tuple): dimensions of fc layers, if None, no fc layers are constructed\n input_dim (int): input dimension\n dropout_p (float): dropout probability... |
5f8ebb22670b564a3b8e725385f6d6ee012e5478aa648c3c7cf59fc310699889 | async def async_setup_entry(hass, config_entry, async_add_entities):
'Set up WeMo binary sensors.'
async def _discovered_wemo(device):
'Handle a discovered Wemo device.'
async_add_entities([WemoBinarySensor(device)])
async_dispatcher_connect(hass, f'{WEMO_DOMAIN}.binary_sensor', _discovered... | Set up WeMo binary sensors. | homeassistant/components/wemo/binary_sensor.py | async_setup_entry | rangulvers/core | 11 | python | async def async_setup_entry(hass, config_entry, async_add_entities):
async def _discovered_wemo(device):
'Handle a discovered Wemo device.'
async_add_entities([WemoBinarySensor(device)])
async_dispatcher_connect(hass, f'{WEMO_DOMAIN}.binary_sensor', _discovered_wemo)
(await asyncio.gat... | async def async_setup_entry(hass, config_entry, async_add_entities):
async def _discovered_wemo(device):
'Handle a discovered Wemo device.'
async_add_entities([WemoBinarySensor(device)])
async_dispatcher_connect(hass, f'{WEMO_DOMAIN}.binary_sensor', _discovered_wemo)
(await asyncio.gat... |
171cb5651281a1c797ce951b4e385d87eb78c8925862d26f62669e451b71bad9 | async def _discovered_wemo(device):
'Handle a discovered Wemo device.'
async_add_entities([WemoBinarySensor(device)]) | Handle a discovered Wemo device. | homeassistant/components/wemo/binary_sensor.py | _discovered_wemo | rangulvers/core | 11 | python | async def _discovered_wemo(device):
async_add_entities([WemoBinarySensor(device)]) | async def _discovered_wemo(device):
async_add_entities([WemoBinarySensor(device)])<|docstring|>Handle a discovered Wemo device.<|endoftext|> |
c38ae69d1530fabc7cad4c3787ee2f6b363b4d96a118196238800548035f779f | def _update(self, force_update=True):
'Update the sensor state.'
with self._wemo_exception_handler('update status'):
self._state = self.wemo.get_state(force_update) | Update the sensor state. | homeassistant/components/wemo/binary_sensor.py | _update | rangulvers/core | 11 | python | def _update(self, force_update=True):
with self._wemo_exception_handler('update status'):
self._state = self.wemo.get_state(force_update) | def _update(self, force_update=True):
with self._wemo_exception_handler('update status'):
self._state = self.wemo.get_state(force_update)<|docstring|>Update the sensor state.<|endoftext|> |
8a3ee048dea0f874dabee63b4650dc9fbe7f523c46e4f6227a00d698e6d5ddb4 | def forward(self, box_corners):
'\n Args: \n box_corners: (Nbox, 8, 3)\n\n Return:\n cge_features: (Nbox, C, 1)\n '
box_corners_trans = box_corners.transpose(1, 2).unsqueeze(dim=3).contiguous()
corners_up_features = self.corners_up_layer(box_corners_trans).squeeze(... | Args:
box_corners: (Nbox, 8, 3)
Return:
cge_features: (Nbox, C, 1) | pcdet/models/roi_heads/feature_adaptor/nn_modules.py | forward | jialeli1/From-Voxel-to-Point | 26 | python | def forward(self, box_corners):
'\n Args: \n box_corners: (Nbox, 8, 3)\n\n Return:\n cge_features: (Nbox, C, 1)\n '
box_corners_trans = box_corners.transpose(1, 2).unsqueeze(dim=3).contiguous()
corners_up_features = self.corners_up_layer(box_corners_trans).squeeze(... | def forward(self, box_corners):
'\n Args: \n box_corners: (Nbox, 8, 3)\n\n Return:\n cge_features: (Nbox, C, 1)\n '
box_corners_trans = box_corners.transpose(1, 2).unsqueeze(dim=3).contiguous()
corners_up_features = self.corners_up_layer(box_corners_trans).squeeze(... |
634be7ca86e5ebdac3597d2a28abf03dcc0cbefa1efd76eccf699ebd62100998 | def str_size_limit(text: str, limit_ahead: int=3, limit_after: int=7, padding: bool=False, shrink_str: str='...') -> str:
'\n 字符串长度限制缩减\n :param text: 需要处理的文本\n :param limit_ahead: 前端长度限制\n :param limit_after: 后端长度限制\n :param padding: 对于长度不足的是否留空格\n :param shrink_str: 缩减表示省略使用的字符串\n :return: 处理... | 字符串长度限制缩减
:param text: 需要处理的文本
:param limit_ahead: 前端长度限制
:param limit_after: 后端长度限制
:param padding: 对于长度不足的是否留空格
:param shrink_str: 缩减表示省略使用的字符串
:return: 处理后的文本 | lofka-console-py/console_util.py | str_size_limit | zigeertech/lofka | 73 | python | def str_size_limit(text: str, limit_ahead: int=3, limit_after: int=7, padding: bool=False, shrink_str: str='...') -> str:
'\n 字符串长度限制缩减\n :param text: 需要处理的文本\n :param limit_ahead: 前端长度限制\n :param limit_after: 后端长度限制\n :param padding: 对于长度不足的是否留空格\n :param shrink_str: 缩减表示省略使用的字符串\n :return: 处理... | def str_size_limit(text: str, limit_ahead: int=3, limit_after: int=7, padding: bool=False, shrink_str: str='...') -> str:
'\n 字符串长度限制缩减\n :param text: 需要处理的文本\n :param limit_ahead: 前端长度限制\n :param limit_after: 后端长度限制\n :param padding: 对于长度不足的是否留空格\n :param shrink_str: 缩减表示省略使用的字符串\n :return: 处理... |
830cbbadb8c419e56d04a4c9b4d3c436c3d5dab31d59e894574f2a210ad051f0 | def get_linked_key_in_dict(x: dict, k: str):
'\n 从字典中链式取值的算法\n :param x: 字典\n :param k: 键值\n :return:\n '
if (k.find('.') < 0):
return x[k]
else:
splitted_key = k.split('.', 1)
return get_linked_key_in_dict(x[splitted_key[0]], splitted_key[1]) | 从字典中链式取值的算法
:param x: 字典
:param k: 键值
:return: | lofka-console-py/console_util.py | get_linked_key_in_dict | zigeertech/lofka | 73 | python | def get_linked_key_in_dict(x: dict, k: str):
'\n 从字典中链式取值的算法\n :param x: 字典\n :param k: 键值\n :return:\n '
if (k.find('.') < 0):
return x[k]
else:
splitted_key = k.split('.', 1)
return get_linked_key_in_dict(x[splitted_key[0]], splitted_key[1]) | def get_linked_key_in_dict(x: dict, k: str):
'\n 从字典中链式取值的算法\n :param x: 字典\n :param k: 键值\n :return:\n '
if (k.find('.') < 0):
return x[k]
else:
splitted_key = k.split('.', 1)
return get_linked_key_in_dict(x[splitted_key[0]], splitted_key[1])<|docstring|>从字典中链式取值的算法
:... |
575d1f1d3edcdcda67838df227131c329b548d4ea5a9260328d03b8a49e9d088 | def host_info_format(host_info: dict):
'\n 格式化机器信息，如果主机名和IP一样就只显示IP，否则在括号中显示主机名称\n :param host_info:\n :return:\n '
if (host_info['name'] == host_info['ip']):
return host_info['ip']
else:
return ('%s(%s)' % (host_info['ip'], host_info['name'])) | 格式化机器信息，如果主机名和IP一样就只显示IP，否则在括号中显示主机名称
:param host_info:
:return: | lofka-console-py/console_util.py | host_info_format | zigeertech/lofka | 73 | python | def host_info_format(host_info: dict):
'\n 格式化机器信息，如果主机名和IP一样就只显示IP，否则在括号中显示主机名称\n :param host_info:\n :return:\n '
if (host_info['name'] == host_info['ip']):
return host_info['ip']
else:
return ('%s(%s)' % (host_info['ip'], host_info['name'])) | def host_info_format(host_info: dict):
'\n 格式化机器信息，如果主机名和IP一样就只显示IP，否则在括号中显示主机名称\n :param host_info:\n :return:\n '
if (host_info['name'] == host_info['ip']):
return host_info['ip']
else:
return ('%s(%s)' % (host_info['ip'], host_info['name']))<|docstring|>格式化机器信息，如果主机名和IP一样就只显示I... |
35ebfd9b7b1a5f754f997ce5b1beb34f87fdf10b19a18b3ad685a675f2c35cb1 | def message_formatter_raw(log_data: dict) -> str:
'\n 消息日志直接输出，当格式化出错的时候就这样输出\n :param log_data:\n :return:\n '
return json.dumps(log_data, indent=2, default=json_util.default) | 消息日志直接输出，当格式化出错的时候就这样输出
:param log_data:
:return: | lofka-console-py/console_util.py | message_formatter_raw | zigeertech/lofka | 73 | python | def message_formatter_raw(log_data: dict) -> str:
'\n 消息日志直接输出，当格式化出错的时候就这样输出\n :param log_data:\n :return:\n '
return json.dumps(log_data, indent=2, default=json_util.default) | def message_formatter_raw(log_data: dict) -> str:
'\n 消息日志直接输出，当格式化出错的时候就这样输出\n :param log_data:\n :return:\n '
return json.dumps(log_data, indent=2, default=json_util.default)<|docstring|>消息日志直接输出，当格式化出错的时候就这样输出
:param log_data:
:return:<|endoftext|> |
3dec06085a76f255b80b5478e98d7616b8a79b418667525fdee0f73fe661a6ea | def throwable_info_formatter(throwable: dict) -> str:
'\n 格式化可抛对象\n :param throwable:\n :return:\n '
stack_info = '\n'.join((' at {0} of {1}\t({2}#{3})'.format(LofkaColors.red(get_or_default(stack, 'method', 'NO METHOD')), LofkaColors.red(get_or_default(stack, 'class', 'NO CLASS')), LofkaColors.c... | 格式化可抛对象
:param throwable:
:return: | lofka-console-py/console_util.py | throwable_info_formatter | zigeertech/lofka | 73 | python | def throwable_info_formatter(throwable: dict) -> str:
'\n 格式化可抛对象\n :param throwable:\n :return:\n '
stack_info = '\n'.join((' at {0} of {1}\t({2}#{3})'.format(LofkaColors.red(get_or_default(stack, 'method', 'NO METHOD')), LofkaColors.red(get_or_default(stack, 'class', 'NO CLASS')), LofkaColors.c... | def throwable_info_formatter(throwable: dict) -> str:
'\n 格式化可抛对象\n :param throwable:\n :return:\n '
stack_info = '\n'.join((' at {0} of {1}\t({2}#{3})'.format(LofkaColors.red(get_or_default(stack, 'method', 'NO METHOD')), LofkaColors.red(get_or_default(stack, 'class', 'NO CLASS')), LofkaColors.c... |
c612239774c55110e9101b66523b0882dcc40504cf41128bbd2d91c1fbaef4b5 | def message_filter(log_data: dict, filter_map: Dict[(str, set)]) -> bool:
'\n 消息过滤器，可以对来源、等级、IP等进行复杂过滤\n :param filter_map: 过滤器\n :param log_data: 日志数据\n :return: True则显示，False则不显示\n '
try:
for (k, s) in filter_map.items():
if (get_linked_key_in_dict(log_data, k) not in s):
... | 消息过滤器，可以对来源、等级、IP等进行复杂过滤
:param filter_map: 过滤器
:param log_data: 日志数据
:return: True则显示，False则不显示 | lofka-console-py/console_util.py | message_filter | zigeertech/lofka | 73 | python | def message_filter(log_data: dict, filter_map: Dict[(str, set)]) -> bool:
'\n 消息过滤器，可以对来源、等级、IP等进行复杂过滤\n :param filter_map: 过滤器\n :param log_data: 日志数据\n :return: True则显示，False则不显示\n '
try:
for (k, s) in filter_map.items():
if (get_linked_key_in_dict(log_data, k) not in s):
... | def message_filter(log_data: dict, filter_map: Dict[(str, set)]) -> bool:
'\n 消息过滤器，可以对来源、等级、IP等进行复杂过滤\n :param filter_map: 过滤器\n :param log_data: 日志数据\n :return: True则显示，False则不显示\n '
try:
for (k, s) in filter_map.items():
if (get_linked_key_in_dict(log_data, k) not in s):
... |
322401b87d4155807644bb29b61a2af07ea4165460785db73273a74532e69f89 | def __init__(self, args: List[str]):
'\n 初始化参数解析\n :param args: sys.argv\n '
self.__data = dict()
for i in range((len(args) - 1)):
if args[i].startswith('--'):
if args[(i + 1)].startswith('--'):
key = args[i][2:]
self.__data[key] = Tru... | 初始化参数解析
:param args: sys.argv | lofka-console-py/console_util.py | __init__ | zigeertech/lofka | 73 | python | def __init__(self, args: List[str]):
'\n 初始化参数解析\n :param args: sys.argv\n '
self.__data = dict()
for i in range((len(args) - 1)):
if args[i].startswith('--'):
if args[(i + 1)].startswith('--'):
key = args[i][2:]
self.__data[key] = Tru... | def __init__(self, args: List[str]):
'\n 初始化参数解析\n :param args: sys.argv\n '
self.__data = dict()
for i in range((len(args) - 1)):
if args[i].startswith('--'):
if args[(i + 1)].startswith('--'):
key = args[i][2:]
self.__data[key] = Tru... |
b39847f1c68242fafb72b828e5e5ad29cc12db5c97bb0f0f3625e8fbf3a83b61 | def countSmaller(self, nums):
'\n :type nums: List[int]\n :rtype: List[int]\n '
pairs = [(num, i) for (i, num) in enumerate(nums)]
s = []
d = {}
for pair in pairs:
i = bisect.bisect_right(s, pair)
s.insert(i, pair)
d[pair[1]] = i
newpairs = [((j - d[p... | :type nums: List[int]
:rtype: List[int] | Leetcode/315_count_of_smaller_numbers/count_of_smaller_numbers.py | countSmaller | side-projects-42/INTERVIEW-PREP-COMPLETE | 13 | python | def countSmaller(self, nums):
'\n :type nums: List[int]\n :rtype: List[int]\n '
pairs = [(num, i) for (i, num) in enumerate(nums)]
s = []
d = {}
for pair in pairs:
i = bisect.bisect_right(s, pair)
s.insert(i, pair)
d[pair[1]] = i
newpairs = [((j - d[p... | def countSmaller(self, nums):
'\n :type nums: List[int]\n :rtype: List[int]\n '
pairs = [(num, i) for (i, num) in enumerate(nums)]
s = []
d = {}
for pair in pairs:
i = bisect.bisect_right(s, pair)
s.insert(i, pair)
d[pair[1]] = i
newpairs = [((j - d[p... |
ac39436e937a883a0d506b8ebafd194aa3a168fb8e90dadc4f6718d338971f38 | def testResultTopDirs(self):
'Test ResultTopDirs'
pass | Test ResultTopDirs | isi_sdk_8_0/test/test_result_top_dirs.py | testResultTopDirs | mohitjain97/isilon_sdk_python | 24 | python | def testResultTopDirs(self):
pass | def testResultTopDirs(self):
pass<|docstring|>Test ResultTopDirs<|endoftext|> |
be042fa07aea98c30016c845895dcc2b5b23fc1c56918a80cf2d7e8a06b5c461 | def sqlalchemy_call(call, with_name=False, base_call=Call):
"\n Convert ``mock.call()`` into call with all parameters wrapped with ``ExpressionMatcher``\n\n For example::\n\n >>> args, kwargs = sqlalchemy_call(mock.call(5, foo='bar'))\n >>> isinstance(args[0], ExpressionMatcher)\n True\n ... | Convert ``mock.call()`` into call with all parameters wrapped with ``ExpressionMatcher``
For example::
>>> args, kwargs = sqlalchemy_call(mock.call(5, foo='bar'))
>>> isinstance(args[0], ExpressionMatcher)
True
>>> isinstance(kwargs['foo'], ExpressionMatcher)
True | alchemy_mock/mocking.py | sqlalchemy_call | cool-RR/alchemy-mock | 80 | python | def sqlalchemy_call(call, with_name=False, base_call=Call):
"\n Convert ``mock.call()`` into call with all parameters wrapped with ``ExpressionMatcher``\n\n For example::\n\n >>> args, kwargs = sqlalchemy_call(mock.call(5, foo='bar'))\n >>> isinstance(args[0], ExpressionMatcher)\n True\n ... | def sqlalchemy_call(call, with_name=False, base_call=Call):
"\n Convert ``mock.call()`` into call with all parameters wrapped with ``ExpressionMatcher``\n\n For example::\n\n >>> args, kwargs = sqlalchemy_call(mock.call(5, foo='bar'))\n >>> isinstance(args[0], ExpressionMatcher)\n True\n ... |
778f252767ee207e11076693c52e89617fad45260f09b2ce2e22bc1902359a9b | def sleep(n):
'Sleep n number of seconds.\n Pauses the execution of the program.\n '
gevent.sleep(n) | Sleep n number of seconds.
Pauses the execution of the program. | chatServer.py | sleep | ArtezGDA/heroku-chatbot | 0 | python | def sleep(n):
'Sleep n number of seconds.\n Pauses the execution of the program.\n '
gevent.sleep(n) | def sleep(n):
'Sleep n number of seconds.\n Pauses the execution of the program.\n '
gevent.sleep(n)<|docstring|>Sleep n number of seconds.
Pauses the execution of the program.<|endoftext|> |
86a0f973058ec8e85c2c6cbc954316beadd71423054410101a97775b69a47c65 | def output(s):
'Outputs string s as chat message.\n Send the given string to the chat client.\n '
sessionID = sessionFromIntrospection()
storeChat(sessionID, 1, s)
data = {}
data['handle'] = 'bot'
data['text'] = s
data['session'] = sessionID
message = json.dumps(data)
redis.pub... | Outputs string s as chat message.
Send the given string to the chat client. | chatServer.py | output | ArtezGDA/heroku-chatbot | 0 | python | def output(s):
'Outputs string s as chat message.\n Send the given string to the chat client.\n '
sessionID = sessionFromIntrospection()
storeChat(sessionID, 1, s)
data = {}
data['handle'] = 'bot'
data['text'] = s
data['session'] = sessionID
message = json.dumps(data)
redis.pub... | def output(s):
'Outputs string s as chat message.\n Send the given string to the chat client.\n '
sessionID = sessionFromIntrospection()
storeChat(sessionID, 1, s)
data = {}
data['handle'] = 'bot'
data['text'] = s
data['session'] = sessionID
message = json.dumps(data)
redis.pub... |
e9306b086b6e305f97f4e7b82b8da9e4da5437f9d6f0f374fec78c2f67e130eb | def bot_setup(session):
'Runs the setup function in the bot'
bot.setup()
sessionVars.storeGlobals(bot, session) | Runs the setup function in the bot | chatServer.py | bot_setup | ArtezGDA/heroku-chatbot | 0 | python | def bot_setup(session):
bot.setup()
sessionVars.storeGlobals(bot, session) | def bot_setup(session):
bot.setup()
sessionVars.storeGlobals(bot, session)<|docstring|>Runs the setup function in the bot<|endoftext|> |
7168ddc422f71f43a49c2fb6bb67daa27cf34752543981ef01dafe668d2bc0bb | def bot_response(session, message):
'Lets the bot create a response for the given message'
sessionVars.injectGlobals(bot, session)
bot.response(message)
sessionVars.storeGlobals(bot, session) | Lets the bot create a response for the given message | chatServer.py | bot_response | ArtezGDA/heroku-chatbot | 0 | python | def bot_response(session, message):
sessionVars.injectGlobals(bot, session)
bot.response(message)
sessionVars.storeGlobals(bot, session) | def bot_response(session, message):
sessionVars.injectGlobals(bot, session)
bot.response(message)
sessionVars.storeGlobals(bot, session)<|docstring|>Lets the bot create a response for the given message<|endoftext|> |
783a533f583318ad506ce0b1d634c3f76c7c3d9706d3337df2685f6aaba88d3f | @property
def labels(self) -> List[str]:
'\n Model classification labels.\n\n This is `None` if the model does not have any classification labels.\n '
return self.__predictor['labels'].copy() | Model classification labels.
This is `None` if the model does not have any classification labels. | natml/predictor.py | labels | natsuite/NatML-Py | 2 | python | @property
def labels(self) -> List[str]:
'\n Model classification labels.\n\n This is `None` if the model does not have any classification labels.\n '
return self.__predictor['labels'].copy() | @property
def labels(self) -> List[str]:
'\n Model classification labels.\n\n This is `None` if the model does not have any classification labels.\n '
return self.__predictor['labels'].copy()<|docstring|>Model classification labels.
This is `None` if the model does not have any classificat... |
d0f6af493302c9f4013553e316fe47949927b68a2c69db4b40ef717f8d9718c4 | @property
def normalization(self) -> Normalization:
'\n Expected feature normalization for predictions with this model.\n\n This is `None` if the model does not use normalization.\n '
normalization = self.__predictor['normalization']
(mean, std) = (normalization['mean'], normalization['... | Expected feature normalization for predictions with this model.
This is `None` if the model does not use normalization. | natml/predictor.py | normalization | natsuite/NatML-Py | 2 | python | @property
def normalization(self) -> Normalization:
'\n Expected feature normalization for predictions with this model.\n\n This is `None` if the model does not use normalization.\n '
normalization = self.__predictor['normalization']
(mean, std) = (normalization['mean'], normalization['... | @property
def normalization(self) -> Normalization:
'\n Expected feature normalization for predictions with this model.\n\n This is `None` if the model does not use normalization.\n '
normalization = self.__predictor['normalization']
(mean, std) = (normalization['mean'], normalization['... |
5c4a04ff375cbca040ca699f1d85581129e701a02271a189bc72d4ccbda29a7a | @property
def audio_format(self) -> AudioFormat:
'\n Expected audio format for predictions with this model.\n\n This is `None` if the model does not use audio features.\n '
format = self.__predictor['audioFormat']
(sample_rate, channel_count) = (format['sampleRate'], format['channelCoun... | Expected audio format for predictions with this model.
This is `None` if the model does not use audio features. | natml/predictor.py | audio_format | natsuite/NatML-Py | 2 | python | @property
def audio_format(self) -> AudioFormat:
'\n Expected audio format for predictions with this model.\n\n This is `None` if the model does not use audio features.\n '
format = self.__predictor['audioFormat']
(sample_rate, channel_count) = (format['sampleRate'], format['channelCoun... | @property
def audio_format(self) -> AudioFormat:
'\n Expected audio format for predictions with this model.\n\n This is `None` if the model does not use audio features.\n '
format = self.__predictor['audioFormat']
(sample_rate, channel_count) = (format['sampleRate'], format['channelCoun... |
5320803292a81a97420883ea3984db8eff5d8e036559ba0a51f9eb9821b00ac5 | def deserialize(self) -> MLModel:
'\n Deserialize the model data to create an ML model that can be used for prediction.\n\n Returns:\n MLModel: ML model.\n '
assert self.__predictor['session'], 'Cannot deserialize model data because session is invalid'
assert (self.__predicto... | Deserialize the model data to create an ML model that can be used for prediction.
Returns:
MLModel: ML model. | natml/predictor.py | deserialize | natsuite/NatML-Py | 2 | python | def deserialize(self) -> MLModel:
'\n Deserialize the model data to create an ML model that can be used for prediction.\n\n Returns:\n MLModel: ML model.\n '
assert self.__predictor['session'], 'Cannot deserialize model data because session is invalid'
assert (self.__predicto... | def deserialize(self) -> MLModel:
'\n Deserialize the model data to create an ML model that can be used for prediction.\n\n Returns:\n MLModel: ML model.\n '
assert self.__predictor['session'], 'Cannot deserialize model data because session is invalid'
assert (self.__predicto... |
b96fab7a85a1cc6c2e9f8b9a09e0d13072461b8cdd154b2948f7fa495986da6c | @staticmethod
def from_hub(tag: str, access_key: str) -> MLModelData:
'\n Fetch ML model data from NatML Hub.\n\n Parameters:\n tag (str): Model tag.\n access_key (str): Hub access key.\n \n Returns:\n MLModelData: ML model data.\n '
pass | Fetch ML model data from NatML Hub.
Parameters:
tag (str): Model tag.
access_key (str): Hub access key.
Returns:
MLModelData: ML model data. | natml/predictor.py | from_hub | natsuite/NatML-Py | 2 | python | @staticmethod
def from_hub(tag: str, access_key: str) -> MLModelData:
'\n Fetch ML model data from NatML Hub.\n\n Parameters:\n tag (str): Model tag.\n access_key (str): Hub access key.\n \n Returns:\n MLModelData: ML model data.\n '
pass | @staticmethod
def from_hub(tag: str, access_key: str) -> MLModelData:
'\n Fetch ML model data from NatML Hub.\n\n Parameters:\n tag (str): Model tag.\n access_key (str): Hub access key.\n \n Returns:\n MLModelData: ML model data.\n '
pass<|docs... |
5c9231348bae3b7d432b03d0feb2caa85b6eecd088b3085ef93a1d293e300b9a | def transition_probs(one_hot_labels, log_probs):
'\n :return: blank_probs with shape batch_size x input_max_len x target_max_len\n truth_probs with shape batch_size x input_max_len x (target_max_len-1)\n '
blank_probs = log_probs[(:, :, :, 0)]
truth_probs = tf.reduce_sum(tf.multiply(log_pr... | :return: blank_probs with shape batch_size x input_max_len x target_max_len
truth_probs with shape batch_size x input_max_len x (target_max_len-1) | asr/losses/rnnt_losses.py | transition_probs | Z-yq/audioSamples.github.io | 1 | python | def transition_probs(one_hot_labels, log_probs):
'\n :return: blank_probs with shape batch_size x input_max_len x target_max_len\n truth_probs with shape batch_size x input_max_len x (target_max_len-1)\n '
blank_probs = log_probs[(:, :, :, 0)]
truth_probs = tf.reduce_sum(tf.multiply(log_pr... | def transition_probs(one_hot_labels, log_probs):
'\n :return: blank_probs with shape batch_size x input_max_len x target_max_len\n truth_probs with shape batch_size x input_max_len x (target_max_len-1)\n '
blank_probs = log_probs[(:, :, :, 0)]
truth_probs = tf.reduce_sum(tf.multiply(log_pr... |
836c8af6c9e43849540f902dc83af1c75e3ed57148a3abfc8c7e49abdd90e0a8 | def forward_dp(bp_diags, tp_diags, batch_size, input_max_len, target_max_len):
'\n :return: forward variable alpha with shape batch_size x input_max_len x target_max_len\n '
def next_state(x, trans_probs):
blank_probs = trans_probs[0]
truth_probs = trans_probs[1]
x_b = tf.concat([... | :return: forward variable alpha with shape batch_size x input_max_len x target_max_len | asr/losses/rnnt_losses.py | forward_dp | Z-yq/audioSamples.github.io | 1 | python | def forward_dp(bp_diags, tp_diags, batch_size, input_max_len, target_max_len):
'\n \n '
def next_state(x, trans_probs):
blank_probs = trans_probs[0]
truth_probs = trans_probs[1]
x_b = tf.concat([(LOG_0 * tf.ones(shape=[batch_size, 1])), (x[(:, :(- 1))] + blank_probs)], axis=1)
... | def forward_dp(bp_diags, tp_diags, batch_size, input_max_len, target_max_len):
'\n \n '
def next_state(x, trans_probs):
blank_probs = trans_probs[0]
truth_probs = trans_probs[1]
x_b = tf.concat([(LOG_0 * tf.ones(shape=[batch_size, 1])), (x[(:, :(- 1))] + blank_probs)], axis=1)
... |
3ea4eb02373985a456b989aec7b117831709c493b1565f3103805c693667d4de | def backward_dp(bp_diags, tp_diags, batch_size, input_max_len, target_max_len, label_length, logit_length, blank_sl):
'\n :return: backward variable beta with shape batch_size x input_max_len x target_max_len\n '
def next_state(x, mask_and_trans_probs):
(mask_s, blank_probs_s, truth_probs) = ... | :return: backward variable beta with shape batch_size x input_max_len x target_max_len | asr/losses/rnnt_losses.py | backward_dp | Z-yq/audioSamples.github.io | 1 | python | def backward_dp(bp_diags, tp_diags, batch_size, input_max_len, target_max_len, label_length, logit_length, blank_sl):
'\n \n '
def next_state(x, mask_and_trans_probs):
(mask_s, blank_probs_s, truth_probs) = mask_and_trans_probs
beta_b = tf.concat([(x[(:, 1:)] + blank_probs_s), (LOG_0 ... | def backward_dp(bp_diags, tp_diags, batch_size, input_max_len, target_max_len, label_length, logit_length, blank_sl):
'\n \n '
def next_state(x, mask_and_trans_probs):
(mask_s, blank_probs_s, truth_probs) = mask_and_trans_probs
beta_b = tf.concat([(x[(:, 1:)] + blank_probs_s), (LOG_0 ... |
84fd4bad8082c35a8908c2682f820e2455facf0f3d2e45ec9c5de3b2fdfe8d38 | @tf.custom_gradient
def compute_rnnt_loss_and_grad(logits_t, labels_t, label_length_t, logit_length_t):
'Compute RNN-T loss and gradients.'
logits_t.set_shape(logits.shape)
labels_t.set_shape(labels.shape)
label_length_t.set_shape(label_length.shape)
logit_length_t.set_shape(logit_length.shape)
... | Compute RNN-T loss and gradients. | asr/losses/rnnt_losses.py | compute_rnnt_loss_and_grad | Z-yq/audioSamples.github.io | 1 | python | @tf.custom_gradient
def compute_rnnt_loss_and_grad(logits_t, labels_t, label_length_t, logit_length_t):
logits_t.set_shape(logits.shape)
labels_t.set_shape(labels.shape)
label_length_t.set_shape(label_length.shape)
logit_length_t.set_shape(logit_length.shape)
kwargs = dict(logits=logits_t, labe... | @tf.custom_gradient
def compute_rnnt_loss_and_grad(logits_t, labels_t, label_length_t, logit_length_t):
logits_t.set_shape(logits.shape)
labels_t.set_shape(labels.shape)
label_length_t.set_shape(label_length.shape)
logit_length_t.set_shape(logit_length.shape)
kwargs = dict(logits=logits_t, labe... |
da2118ba4fd2fe66a14c1cbb7828ba0723a08a969a58f0f74c5c6398254f813b | def BPRLoss(vocab_size: int):
'BPR Loss with biases.'
return deepr.layers.DAG(deepr.layers.Select(inputs=('userEmbeddings', 'targetPositives', 'targetNegatives', 'targetMask')), deepr.layers.DenseIndex(inputs=('userEmbeddings', 'targetPositives'), outputs='targetPositiveLogits', units=vocab_size, kernel_name='e... | BPR Loss with biases. | deepr/examples/movielens/layers/bpr.py | BPRLoss | Jasputtar/deepr | 50 | python | def BPRLoss(vocab_size: int):
return deepr.layers.DAG(deepr.layers.Select(inputs=('userEmbeddings', 'targetPositives', 'targetNegatives', 'targetMask')), deepr.layers.DenseIndex(inputs=('userEmbeddings', 'targetPositives'), outputs='targetPositiveLogits', units=vocab_size, kernel_name='embeddings', bias_name='... | def BPRLoss(vocab_size: int):
return deepr.layers.DAG(deepr.layers.Select(inputs=('userEmbeddings', 'targetPositives', 'targetNegatives', 'targetMask')), deepr.layers.DenseIndex(inputs=('userEmbeddings', 'targetPositives'), outputs='targetPositiveLogits', units=vocab_size, kernel_name='embeddings', bias_name='... |
072c36e5305193b7278919d8a74ca57c28577eafc682f7ed4a6fe77fd9b70d58 | @property
def CorrectionFactorMode(self):
'\n Returns\n -------\n - str: Correction Factor mode\n '
return self._get_attribute(self._SDM_ATT_MAP['CorrectionFactorMode']) | Returns
-------
- str: Correction Factor mode | ixnetwork_restpy/testplatform/sessions/ixnetwork/quicktest/testconfig_fcb75e51b768dc4f6f583b33d7ce0561.py | CorrectionFactorMode | OpenIxia/ixnetwork_restpy | 20 | python | @property
def CorrectionFactorMode(self):
'\n Returns\n -------\n - str: Correction Factor mode\n '
return self._get_attribute(self._SDM_ATT_MAP['CorrectionFactorMode']) | @property
def CorrectionFactorMode(self):
'\n Returns\n -------\n - str: Correction Factor mode\n '
return self._get_attribute(self._SDM_ATT_MAP['CorrectionFactorMode'])<|docstring|>Returns
-------
- str: Correction Factor mode<|endoftext|> |
1c02082e0341e274f5acf9c07d71272224503bb353f0023fa1c8225429ab8212 | @property
def CorrectionFactorScale(self):
'\n Returns\n -------\n - str: Correction Factor Scale\n '
return self._get_attribute(self._SDM_ATT_MAP['CorrectionFactorScale']) | Returns
-------
- str: Correction Factor Scale | ixnetwork_restpy/testplatform/sessions/ixnetwork/quicktest/testconfig_fcb75e51b768dc4f6f583b33d7ce0561.py | CorrectionFactorScale | OpenIxia/ixnetwork_restpy | 20 | python | @property
def CorrectionFactorScale(self):
'\n Returns\n -------\n - str: Correction Factor Scale\n '
return self._get_attribute(self._SDM_ATT_MAP['CorrectionFactorScale']) | @property
def CorrectionFactorScale(self):
'\n Returns\n -------\n - str: Correction Factor Scale\n '
return self._get_attribute(self._SDM_ATT_MAP['CorrectionFactorScale'])<|docstring|>Returns
-------
- str: Correction Factor Scale<|endoftext|> |
e9974fcbcec21f5acea712caf24bbbc452c92000032020a9b44bc4fc8b638556 | @property
def Duration(self):
'\n Returns\n -------\n - number: The wait time in hours, minutes, and seconds, that is required for the PTP protocol to negotiate\n '
return self._get_attribute(self._SDM_ATT_MAP['Duration']) | Returns
-------
- number: The wait time in hours, minutes, and seconds, that is required for the PTP protocol to negotiate | ixnetwork_restpy/testplatform/sessions/ixnetwork/quicktest/testconfig_fcb75e51b768dc4f6f583b33d7ce0561.py | Duration | OpenIxia/ixnetwork_restpy | 20 | python | @property
def Duration(self):
'\n Returns\n -------\n - number: The wait time in hours, minutes, and seconds, that is required for the PTP protocol to negotiate\n '
return self._get_attribute(self._SDM_ATT_MAP['Duration']) | @property
def Duration(self):
'\n Returns\n -------\n - number: The wait time in hours, minutes, and seconds, that is required for the PTP protocol to negotiate\n '
return self._get_attribute(self._SDM_ATT_MAP['Duration'])<|docstring|>Returns
-------
- number: The wait time in hours,... |
b69839c71991183977b0f4ad22693fcc052e71b457d6d637cbb228c02660cbf4 | @property
def EnableCorrectionFactorPassFail(self):
'\n Returns\n -------\n - str: If selected, a Pass/Fail criteria is applied to the Correction Factor Error test\n '
return self._get_attribute(self._SDM_ATT_MAP['EnableCorrectionFactorPassFail']) | Returns
-------
- str: If selected, a Pass/Fail criteria is applied to the Correction Factor Error test | ixnetwork_restpy/testplatform/sessions/ixnetwork/quicktest/testconfig_fcb75e51b768dc4f6f583b33d7ce0561.py | EnableCorrectionFactorPassFail | OpenIxia/ixnetwork_restpy | 20 | python | @property
def EnableCorrectionFactorPassFail(self):
'\n Returns\n -------\n - str: If selected, a Pass/Fail criteria is applied to the Correction Factor Error test\n '
return self._get_attribute(self._SDM_ATT_MAP['EnableCorrectionFactorPassFail']) | @property
def EnableCorrectionFactorPassFail(self):
'\n Returns\n -------\n - str: If selected, a Pass/Fail criteria is applied to the Correction Factor Error test\n '
return self._get_attribute(self._SDM_ATT_MAP['EnableCorrectionFactorPassFail'])<|docstring|>Returns
-------
- str: I... |
98380a947a7a889c9fcb4c71d8f4740f25cfc3fe99de0a7bc95e874c88275d4f | @property
def MaxOutstanding(self):
'\n Returns\n -------\n - number: Maximum number of connection requests or tear down requests that can be pending at any one time\n '
return self._get_attribute(self._SDM_ATT_MAP['MaxOutstanding']) | Returns
-------
- number: Maximum number of connection requests or tear down requests that can be pending at any one time | ixnetwork_restpy/testplatform/sessions/ixnetwork/quicktest/testconfig_fcb75e51b768dc4f6f583b33d7ce0561.py | MaxOutstanding | OpenIxia/ixnetwork_restpy | 20 | python | @property
def MaxOutstanding(self):
'\n Returns\n -------\n - number: Maximum number of connection requests or tear down requests that can be pending at any one time\n '
return self._get_attribute(self._SDM_ATT_MAP['MaxOutstanding']) | @property
def MaxOutstanding(self):
'\n Returns\n -------\n - number: Maximum number of connection requests or tear down requests that can be pending at any one time\n '
return self._get_attribute(self._SDM_ATT_MAP['MaxOutstanding'])<|docstring|>Returns
-------
- number: Maximum numb... |
fc01bda78967b92406dec35e4ea78673b9f888e58d55eef8805fa806656bffba | @property
def MeasuredResidenceTime(self):
'\n Returns\n -------\n - str: The measured time taken by a packet to move from the ingress port to the egress port\n '
return self._get_attribute(self._SDM_ATT_MAP['MeasuredResidenceTime']) | Returns
-------
- str: The measured time taken by a packet to move from the ingress port to the egress port | ixnetwork_restpy/testplatform/sessions/ixnetwork/quicktest/testconfig_fcb75e51b768dc4f6f583b33d7ce0561.py | MeasuredResidenceTime | OpenIxia/ixnetwork_restpy | 20 | python | @property
def MeasuredResidenceTime(self):
'\n Returns\n -------\n - str: The measured time taken by a packet to move from the ingress port to the egress port\n '
return self._get_attribute(self._SDM_ATT_MAP['MeasuredResidenceTime']) | @property
def MeasuredResidenceTime(self):
'\n Returns\n -------\n - str: The measured time taken by a packet to move from the ingress port to the egress port\n '
return self._get_attribute(self._SDM_ATT_MAP['MeasuredResidenceTime'])<|docstring|>Returns
-------
- str: The measured ti... |
2a88d447d73352167848bb12061caab702d399f2e1704cde80d9c4e9a5fa4b83 | @property
def NumberCorrectionFactorPassFail(self):
'\n Returns\n -------\n - number: Number of criteria used for Pass/Fail\n '
return self._get_attribute(self._SDM_ATT_MAP['NumberCorrectionFactorPassFail']) | Returns
-------
- number: Number of criteria used for Pass/Fail | ixnetwork_restpy/testplatform/sessions/ixnetwork/quicktest/testconfig_fcb75e51b768dc4f6f583b33d7ce0561.py | NumberCorrectionFactorPassFail | OpenIxia/ixnetwork_restpy | 20 | python | @property
def NumberCorrectionFactorPassFail(self):
'\n Returns\n -------\n - number: Number of criteria used for Pass/Fail\n '
return self._get_attribute(self._SDM_ATT_MAP['NumberCorrectionFactorPassFail']) | @property
def NumberCorrectionFactorPassFail(self):
'\n Returns\n -------\n - number: Number of criteria used for Pass/Fail\n '
return self._get_attribute(self._SDM_ATT_MAP['NumberCorrectionFactorPassFail'])<|docstring|>Returns
-------
- number: Number of criteria used for Pass/Fail<... |
11e87c0e967109b6f427b1790550b8d2af60ab42c6a32182d61fa143a3783887 | @property
def Numtrials(self):
'\n Returns\n -------\n - number: The number of trials that can be run\n '
return self._get_attribute(self._SDM_ATT_MAP['Numtrials']) | Returns
-------
- number: The number of trials that can be run | ixnetwork_restpy/testplatform/sessions/ixnetwork/quicktest/testconfig_fcb75e51b768dc4f6f583b33d7ce0561.py | Numtrials | OpenIxia/ixnetwork_restpy | 20 | python | @property
def Numtrials(self):
'\n Returns\n -------\n - number: The number of trials that can be run\n '
return self._get_attribute(self._SDM_ATT_MAP['Numtrials']) | @property
def Numtrials(self):
'\n Returns\n -------\n - number: The number of trials that can be run\n '
return self._get_attribute(self._SDM_ATT_MAP['Numtrials'])<|docstring|>Returns
-------
- number: The number of trials that can be run<|endoftext|> |
c42a7fe4bef7d4614bfe1f08c3bfe1650f6b225ddf8e38d601212562a6b054cf | @property
def OffsetGraph(self):
'\n Returns\n -------\n - str: Offset graphing\n '
return self._get_attribute(self._SDM_ATT_MAP['OffsetGraph']) | Returns
-------
- str: Offset graphing | ixnetwork_restpy/testplatform/sessions/ixnetwork/quicktest/testconfig_fcb75e51b768dc4f6f583b33d7ce0561.py | OffsetGraph | OpenIxia/ixnetwork_restpy | 20 | python | @property
def OffsetGraph(self):
'\n Returns\n -------\n - str: Offset graphing\n '
return self._get_attribute(self._SDM_ATT_MAP['OffsetGraph']) | @property
def OffsetGraph(self):
'\n Returns\n -------\n - str: Offset graphing\n '
return self._get_attribute(self._SDM_ATT_MAP['OffsetGraph'])<|docstring|>Returns
-------
- str: Offset graphing<|endoftext|> |
4635642c8f006e258031ee8ff68c09d9c82d5c7a6b827be0806fa85050e6ece9 | @property
def PathDelayGraphing(self):
'\n Returns\n -------\n - str: Graphing of path delay\n '
return self._get_attribute(self._SDM_ATT_MAP['PathDelayGraphing']) | Returns
-------
- str: Graphing of path delay | ixnetwork_restpy/testplatform/sessions/ixnetwork/quicktest/testconfig_fcb75e51b768dc4f6f583b33d7ce0561.py | PathDelayGraphing | OpenIxia/ixnetwork_restpy | 20 | python | @property
def PathDelayGraphing(self):
'\n Returns\n -------\n - str: Graphing of path delay\n '
return self._get_attribute(self._SDM_ATT_MAP['PathDelayGraphing']) | @property
def PathDelayGraphing(self):
'\n Returns\n -------\n - str: Graphing of path delay\n '
return self._get_attribute(self._SDM_ATT_MAP['PathDelayGraphing'])<|docstring|>Returns
-------
- str: Graphing of path delay<|endoftext|> |
3e60b598644ac18f890449523397f9b3c2466e7dd124ae339335c1084d63bc00 | @property
def ProtocolItem(self):
'\n Returns\n -------\n - list(str[None | /api/v1/sessions/1/ixnetwork/vport | /api/v1/sessions/1/ixnetwork/vport/.../lan]): Protocol Items\n '
return self._get_attribute(self._SDM_ATT_MAP['ProtocolItem']) | Returns
-------
- list(str[None | /api/v1/sessions/1/ixnetwork/vport | /api/v1/sessions/1/ixnetwork/vport/.../lan]): Protocol Items | ixnetwork_restpy/testplatform/sessions/ixnetwork/quicktest/testconfig_fcb75e51b768dc4f6f583b33d7ce0561.py | ProtocolItem | OpenIxia/ixnetwork_restpy | 20 | python | @property
def ProtocolItem(self):
'\n Returns\n -------\n - list(str[None | /api/v1/sessions/1/ixnetwork/vport | /api/v1/sessions/1/ixnetwork/vport/.../lan]): Protocol Items\n '
return self._get_attribute(self._SDM_ATT_MAP['ProtocolItem']) | @property
def ProtocolItem(self):
'\n Returns\n -------\n - list(str[None | /api/v1/sessions/1/ixnetwork/vport | /api/v1/sessions/1/ixnetwork/vport/.../lan]): Protocol Items\n '
return self._get_attribute(self._SDM_ATT_MAP['ProtocolItem'])<|docstring|>Returns
-------
- list(str[None ... |
9f049fbdbc27b9503c4195a888263b4b01b051d7a4f58b73ce54e5b239b167ae | @property
def ResidenceTime(self):
'\n Returns\n -------\n - number: The time taken by a packet to move from the ingress port to the egress port\n '
return self._get_attribute(self._SDM_ATT_MAP['ResidenceTime']) | Returns
-------
- number: The time taken by a packet to move from the ingress port to the egress port | ixnetwork_restpy/testplatform/sessions/ixnetwork/quicktest/testconfig_fcb75e51b768dc4f6f583b33d7ce0561.py | ResidenceTime | OpenIxia/ixnetwork_restpy | 20 | python | @property
def ResidenceTime(self):
'\n Returns\n -------\n - number: The time taken by a packet to move from the ingress port to the egress port\n '
return self._get_attribute(self._SDM_ATT_MAP['ResidenceTime']) | @property
def ResidenceTime(self):
'\n Returns\n -------\n - number: The time taken by a packet to move from the ingress port to the egress port\n '
return self._get_attribute(self._SDM_ATT_MAP['ResidenceTime'])<|docstring|>Returns
-------
- number: The time taken by a packet to move... |
aa55540bf3e2885e87796399e97ad114866605f5dd120962cd4e9216d0b70c0f | @property
def Runmode(self):
'\n Returns\n -------\n - str(duration | noframes): Running mode used\n '
return self._get_attribute(self._SDM_ATT_MAP['Runmode']) | Returns
-------
- str(duration | noframes): Running mode used | ixnetwork_restpy/testplatform/sessions/ixnetwork/quicktest/testconfig_fcb75e51b768dc4f6f583b33d7ce0561.py | Runmode | OpenIxia/ixnetwork_restpy | 20 | python | @property
def Runmode(self):
'\n Returns\n -------\n - str(duration | noframes): Running mode used\n '
return self._get_attribute(self._SDM_ATT_MAP['Runmode']) | @property
def Runmode(self):
'\n Returns\n -------\n - str(duration | noframes): Running mode used\n '
return self._get_attribute(self._SDM_ATT_MAP['Runmode'])<|docstring|>Returns
-------
- str(duration | noframes): Running mode used<|endoftext|> |
0e883cf2b665bc624a9c7f014c8d7435860535891d77849f2f71f39fecbbe1e6 | @property
def SetupRate(self):
'\n Returns\n -------\n - number: The number of PTP connections to be initiated per second\n '
return self._get_attribute(self._SDM_ATT_MAP['SetupRate']) | Returns
-------
- number: The number of PTP connections to be initiated per second | ixnetwork_restpy/testplatform/sessions/ixnetwork/quicktest/testconfig_fcb75e51b768dc4f6f583b33d7ce0561.py | SetupRate | OpenIxia/ixnetwork_restpy | 20 | python | @property
def SetupRate(self):
'\n Returns\n -------\n - number: The number of PTP connections to be initiated per second\n '
return self._get_attribute(self._SDM_ATT_MAP['SetupRate']) | @property
def SetupRate(self):
'\n Returns\n -------\n - number: The number of PTP connections to be initiated per second\n '
return self._get_attribute(self._SDM_ATT_MAP['SetupRate'])<|docstring|>Returns
-------
- number: The number of PTP connections to be initiated per second<|end... |
0f546bd9bac6122080502d791e65716b045c24aef1c1a0a769187df10e8e801e | @property
def StartTraffic(self):
'\n Returns\n -------\n - str: All traffic configured in IxNetwork is initiated on running this test\n '
return self._get_attribute(self._SDM_ATT_MAP['StartTraffic']) | Returns
-------
- str: All traffic configured in IxNetwork is initiated on running this test | ixnetwork_restpy/testplatform/sessions/ixnetwork/quicktest/testconfig_fcb75e51b768dc4f6f583b33d7ce0561.py | StartTraffic | OpenIxia/ixnetwork_restpy | 20 | python | @property
def StartTraffic(self):
'\n Returns\n -------\n - str: All traffic configured in IxNetwork is initiated on running this test\n '
return self._get_attribute(self._SDM_ATT_MAP['StartTraffic']) | @property
def StartTraffic(self):
'\n Returns\n -------\n - str: All traffic configured in IxNetwork is initiated on running this test\n '
return self._get_attribute(self._SDM_ATT_MAP['StartTraffic'])<|docstring|>Returns
-------
- str: All traffic configured in IxNetwork is initiated... |
b1a240d205dcb7f5fa507558759d0985abc65ddea52e7f67ec81270088afa81a | @property
def TeardownRate(self):
'\n Returns\n -------\n - number: The number of PTP connections to tear down per second\n '
return self._get_attribute(self._SDM_ATT_MAP['TeardownRate']) | Returns
-------
- number: The number of PTP connections to tear down per second | ixnetwork_restpy/testplatform/sessions/ixnetwork/quicktest/testconfig_fcb75e51b768dc4f6f583b33d7ce0561.py | TeardownRate | OpenIxia/ixnetwork_restpy | 20 | python | @property
def TeardownRate(self):
'\n Returns\n -------\n - number: The number of PTP connections to tear down per second\n '
return self._get_attribute(self._SDM_ATT_MAP['TeardownRate']) | @property
def TeardownRate(self):
'\n Returns\n -------\n - number: The number of PTP connections to tear down per second\n '
return self._get_attribute(self._SDM_ATT_MAP['TeardownRate'])<|docstring|>Returns
-------
- number: The number of PTP connections to tear down per second<|end... |
eaba840451842da9ff4b1e027914a6bd298f50122a49b336a9727e57f1d05985 | @property
def TestConfiguration(self):
'\n Returns\n -------\n - str: Test configuration\n '
return self._get_attribute(self._SDM_ATT_MAP['TestConfiguration']) | Returns
-------
- str: Test configuration | ixnetwork_restpy/testplatform/sessions/ixnetwork/quicktest/testconfig_fcb75e51b768dc4f6f583b33d7ce0561.py | TestConfiguration | OpenIxia/ixnetwork_restpy | 20 | python | @property
def TestConfiguration(self):
'\n Returns\n -------\n - str: Test configuration\n '
return self._get_attribute(self._SDM_ATT_MAP['TestConfiguration']) | @property
def TestConfiguration(self):
'\n Returns\n -------\n - str: Test configuration\n '
return self._get_attribute(self._SDM_ATT_MAP['TestConfiguration'])<|docstring|>Returns
-------
- str: Test configuration<|endoftext|> |
ae91a8b8603ad7488541c73aa94ef84b9b76b38a3eb6cd06aa15aa767ff3bb19 | @property
def UseExistingSetupRate(self):
'\n Returns\n -------\n - bool: The current setup rate value is used\n '
return self._get_attribute(self._SDM_ATT_MAP['UseExistingSetupRate']) | Returns
-------
- bool: The current setup rate value is used | ixnetwork_restpy/testplatform/sessions/ixnetwork/quicktest/testconfig_fcb75e51b768dc4f6f583b33d7ce0561.py | UseExistingSetupRate | OpenIxia/ixnetwork_restpy | 20 | python | @property
def UseExistingSetupRate(self):
'\n Returns\n -------\n - bool: The current setup rate value is used\n '
return self._get_attribute(self._SDM_ATT_MAP['UseExistingSetupRate']) | @property
def UseExistingSetupRate(self):
'\n Returns\n -------\n - bool: The current setup rate value is used\n '
return self._get_attribute(self._SDM_ATT_MAP['UseExistingSetupRate'])<|docstring|>Returns
-------
- bool: The current setup rate value is used<|endoftext|> |
eb78cf6841794e788cc03239f10c026a5d656d66fd40aa0ea41403c7264f7077 | def update(self, CorrectionFactorMode=None, CorrectionFactorScale=None, Duration=None, EnableCorrectionFactorPassFail=None, MaxOutstanding=None, MeasuredResidenceTime=None, NumberCorrectionFactorPassFail=None, Numtrials=None, OffsetGraph=None, PathDelayGraphing=None, ProtocolItem=None, ResidenceTime=None, Runmode=None,... | Updates testConfig resource on the server.
Args
----
- CorrectionFactorMode (str): Correction Factor mode
- CorrectionFactorScale (str): Correction Factor Scale
- Duration (number): The wait time in hours, minutes, and seconds, that is required for the PTP protocol to negotiate
- EnableCorrectionFactorPassFail (str): ... | ixnetwork_restpy/testplatform/sessions/ixnetwork/quicktest/testconfig_fcb75e51b768dc4f6f583b33d7ce0561.py | update | OpenIxia/ixnetwork_restpy | 20 | python | def update(self, CorrectionFactorMode=None, CorrectionFactorScale=None, Duration=None, EnableCorrectionFactorPassFail=None, MaxOutstanding=None, MeasuredResidenceTime=None, NumberCorrectionFactorPassFail=None, Numtrials=None, OffsetGraph=None, PathDelayGraphing=None, ProtocolItem=None, ResidenceTime=None, Runmode=None,... | def update(self, CorrectionFactorMode=None, CorrectionFactorScale=None, Duration=None, EnableCorrectionFactorPassFail=None, MaxOutstanding=None, MeasuredResidenceTime=None, NumberCorrectionFactorPassFail=None, Numtrials=None, OffsetGraph=None, PathDelayGraphing=None, ProtocolItem=None, ResidenceTime=None, Runmode=None,... |
2fbbc02c3249aa09e583b19011e83fbf53c110ab917de18ac19cdb12151bca99 | def Apply(self, *args, **kwargs):
'Executes the apply operation on the server.\n\n Applies the specified Quick Test.\n\n apply(async_operation=bool)\n ---------------------------\n - async_operation (bool=False): True to execute the operation asynchronously. Any subsequent rest api calls... | Executes the apply operation on the server.
Applies the specified Quick Test.
apply(async_operation=bool)
---------------------------
- async_operation (bool=False): True to execute the operation asynchronously. Any subsequent rest api calls made through the Connection class will block until the operation is complete... | ixnetwork_restpy/testplatform/sessions/ixnetwork/quicktest/testconfig_fcb75e51b768dc4f6f583b33d7ce0561.py | Apply | OpenIxia/ixnetwork_restpy | 20 | python | def Apply(self, *args, **kwargs):
'Executes the apply operation on the server.\n\n Applies the specified Quick Test.\n\n apply(async_operation=bool)\n ---------------------------\n - async_operation (bool=False): True to execute the operation asynchronously. Any subsequent rest api calls... | def Apply(self, *args, **kwargs):
'Executes the apply operation on the server.\n\n Applies the specified Quick Test.\n\n apply(async_operation=bool)\n ---------------------------\n - async_operation (bool=False): True to execute the operation asynchronously. Any subsequent rest api calls... |
886f8f440da267cc9e714248ad593ca1e0b04bc24fe3ec2a6cc27b1d811c03b1 | def ApplyAsync(self, *args, **kwargs):
'Executes the applyAsync operation on the server.\n\n applyAsync(async_operation=bool)\n --------------------------------\n - async_operation (bool=False): True to execute the operation asynchronously. Any subsequent rest api calls made through the Connect... | Executes the applyAsync operation on the server.
applyAsync(async_operation=bool)
--------------------------------
- async_operation (bool=False): True to execute the operation asynchronously. Any subsequent rest api calls made through the Connection class will block until the operation is complete.
Raises
------
- N... | ixnetwork_restpy/testplatform/sessions/ixnetwork/quicktest/testconfig_fcb75e51b768dc4f6f583b33d7ce0561.py | ApplyAsync | OpenIxia/ixnetwork_restpy | 20 | python | def ApplyAsync(self, *args, **kwargs):
'Executes the applyAsync operation on the server.\n\n applyAsync(async_operation=bool)\n --------------------------------\n - async_operation (bool=False): True to execute the operation asynchronously. Any subsequent rest api calls made through the Connect... | def ApplyAsync(self, *args, **kwargs):
'Executes the applyAsync operation on the server.\n\n applyAsync(async_operation=bool)\n --------------------------------\n - async_operation (bool=False): True to execute the operation asynchronously. Any subsequent rest api calls made through the Connect... |
6194626434da046ba089e0c43cf098ce5d96ba4d9e748a63d92f3d1c34e2de48 | def ApplyAsyncResult(self, *args, **kwargs):
'Executes the applyAsyncResult operation on the server.\n\n applyAsyncResult(async_operation=bool)bool\n ------------------------------------------\n - async_operation (bool=False): True to execute the operation asynchronously. Any subsequent rest ap... | Executes the applyAsyncResult operation on the server.
applyAsyncResult(async_operation=bool)bool
------------------------------------------
- async_operation (bool=False): True to execute the operation asynchronously. Any subsequent rest api calls made through the Connection class will block until the operation is co... | ixnetwork_restpy/testplatform/sessions/ixnetwork/quicktest/testconfig_fcb75e51b768dc4f6f583b33d7ce0561.py | ApplyAsyncResult | OpenIxia/ixnetwork_restpy | 20 | python | def ApplyAsyncResult(self, *args, **kwargs):
'Executes the applyAsyncResult operation on the server.\n\n applyAsyncResult(async_operation=bool)bool\n ------------------------------------------\n - async_operation (bool=False): True to execute the operation asynchronously. Any subsequent rest ap... | def ApplyAsyncResult(self, *args, **kwargs):
'Executes the applyAsyncResult operation on the server.\n\n applyAsyncResult(async_operation=bool)bool\n ------------------------------------------\n - async_operation (bool=False): True to execute the operation asynchronously. Any subsequent rest ap... |
08b391b3b39a11e8ccb00610b994444b77256e160d796750f359277908fb9896 | def ApplyITWizardConfiguration(self, *args, **kwargs):
'Executes the applyITWizardConfiguration operation on the server.\n\n Applies the specified Quick Test.\n\n applyITWizardConfiguration(async_operation=bool)\n ------------------------------------------------\n - async_operation (bool... | Executes the applyITWizardConfiguration operation on the server.
Applies the specified Quick Test.
applyITWizardConfiguration(async_operation=bool)
------------------------------------------------
- async_operation (bool=False): True to execute the operation asynchronously. Any subsequent rest api calls made through ... | ixnetwork_restpy/testplatform/sessions/ixnetwork/quicktest/testconfig_fcb75e51b768dc4f6f583b33d7ce0561.py | ApplyITWizardConfiguration | OpenIxia/ixnetwork_restpy | 20 | python | def ApplyITWizardConfiguration(self, *args, **kwargs):
'Executes the applyITWizardConfiguration operation on the server.\n\n Applies the specified Quick Test.\n\n applyITWizardConfiguration(async_operation=bool)\n ------------------------------------------------\n - async_operation (bool... | def ApplyITWizardConfiguration(self, *args, **kwargs):
'Executes the applyITWizardConfiguration operation on the server.\n\n Applies the specified Quick Test.\n\n applyITWizardConfiguration(async_operation=bool)\n ------------------------------------------------\n - async_operation (bool... |
c7329f8ce7e105f822b472dcdcda0fd3b590f9e85d7e65f4c315415b6610e756 | def GenerateReport(self, *args, **kwargs):
'Executes the generateReport operation on the server.\n\n Generate a PDF report for the last succesfull test run.\n\n generateReport(async_operation=bool)string\n ------------------------------------------\n - async_operation (bool=False): True ... | Executes the generateReport operation on the server.
Generate a PDF report for the last succesfull test run.
generateReport(async_operation=bool)string
------------------------------------------
- async_operation (bool=False): True to execute the operation asynchronously. Any subsequent rest api calls made through th... | ixnetwork_restpy/testplatform/sessions/ixnetwork/quicktest/testconfig_fcb75e51b768dc4f6f583b33d7ce0561.py | GenerateReport | OpenIxia/ixnetwork_restpy | 20 | python | def GenerateReport(self, *args, **kwargs):
'Executes the generateReport operation on the server.\n\n Generate a PDF report for the last succesfull test run.\n\n generateReport(async_operation=bool)string\n ------------------------------------------\n - async_operation (bool=False): True ... | def GenerateReport(self, *args, **kwargs):
'Executes the generateReport operation on the server.\n\n Generate a PDF report for the last succesfull test run.\n\n generateReport(async_operation=bool)string\n ------------------------------------------\n - async_operation (bool=False): True ... |
4a2c9ce96b385b12068e0b14cbebba48c41651737ec0a93029825a1ab4c72af2 | def Run(self, *args, **kwargs):
'Executes the run operation on the server.\n\n Starts the specified Quick Test and waits for its execution to finish.\n\n The IxNetwork model allows for multiple method Signatures with the same name while python does not.\n\n run(async_operation=bool)list\n ... | Executes the run operation on the server.
Starts the specified Quick Test and waits for its execution to finish.
The IxNetwork model allows for multiple method Signatures with the same name while python does not.
run(async_operation=bool)list
-----------------------------
- async_operation (bool=False): True to exec... | ixnetwork_restpy/testplatform/sessions/ixnetwork/quicktest/testconfig_fcb75e51b768dc4f6f583b33d7ce0561.py | Run | OpenIxia/ixnetwork_restpy | 20 | python | def Run(self, *args, **kwargs):
'Executes the run operation on the server.\n\n Starts the specified Quick Test and waits for its execution to finish.\n\n The IxNetwork model allows for multiple method Signatures with the same name while python does not.\n\n run(async_operation=bool)list\n ... | def Run(self, *args, **kwargs):
'Executes the run operation on the server.\n\n Starts the specified Quick Test and waits for its execution to finish.\n\n The IxNetwork model allows for multiple method Signatures with the same name while python does not.\n\n run(async_operation=bool)list\n ... |
ab97b61420f144fd7b2d6c26e9085740c3545b3821351bb0ad63f5349522b8d9 | def Start(self, *args, **kwargs):
'Executes the start operation on the server.\n\n Starts the specified Quick Test.\n\n The IxNetwork model allows for multiple method Signatures with the same name while python does not.\n\n start(async_operation=bool)\n ---------------------------\n ... | Executes the start operation on the server.
Starts the specified Quick Test.
The IxNetwork model allows for multiple method Signatures with the same name while python does not.
start(async_operation=bool)
---------------------------
- async_operation (bool=False): True to execute the operation asynchronously. Any su... | ixnetwork_restpy/testplatform/sessions/ixnetwork/quicktest/testconfig_fcb75e51b768dc4f6f583b33d7ce0561.py | Start | OpenIxia/ixnetwork_restpy | 20 | python | def Start(self, *args, **kwargs):
'Executes the start operation on the server.\n\n Starts the specified Quick Test.\n\n The IxNetwork model allows for multiple method Signatures with the same name while python does not.\n\n start(async_operation=bool)\n ---------------------------\n ... | def Start(self, *args, **kwargs):
'Executes the start operation on the server.\n\n Starts the specified Quick Test.\n\n The IxNetwork model allows for multiple method Signatures with the same name while python does not.\n\n start(async_operation=bool)\n ---------------------------\n ... |
deabc69c9ea4b41bc0345136dc5ea99eff666f20a33ea4b74a81738489675719 | def Stop(self, *args, **kwargs):
'Executes the stop operation on the server.\n\n Stops the currently running Quick Test.\n\n stop(async_operation=bool)\n --------------------------\n - async_operation (bool=False): True to execute the operation asynchronously. Any subsequent rest api cal... | Executes the stop operation on the server.
Stops the currently running Quick Test.
stop(async_operation=bool)
--------------------------
- async_operation (bool=False): True to execute the operation asynchronously. Any subsequent rest api calls made through the Connection class will block until the operation is compl... | ixnetwork_restpy/testplatform/sessions/ixnetwork/quicktest/testconfig_fcb75e51b768dc4f6f583b33d7ce0561.py | Stop | OpenIxia/ixnetwork_restpy | 20 | python | def Stop(self, *args, **kwargs):
'Executes the stop operation on the server.\n\n Stops the currently running Quick Test.\n\n stop(async_operation=bool)\n --------------------------\n - async_operation (bool=False): True to execute the operation asynchronously. Any subsequent rest api cal... | def Stop(self, *args, **kwargs):
'Executes the stop operation on the server.\n\n Stops the currently running Quick Test.\n\n stop(async_operation=bool)\n --------------------------\n - async_operation (bool=False): True to execute the operation asynchronously. Any subsequent rest api cal... |
54ab4517425c53be099a1400229f394d21fac09747c1c72764fef631feb7340f | def WaitForTest(self, *args, **kwargs):
'Executes the waitForTest operation on the server.\n\n Waits for the execution of the specified Quick Test to be completed.\n\n waitForTest(async_operation=bool)list\n -------------------------------------\n - async_operation (bool=False): True to ... | Executes the waitForTest operation on the server.
Waits for the execution of the specified Quick Test to be completed.
waitForTest(async_operation=bool)list
-------------------------------------
- async_operation (bool=False): True to execute the operation asynchronously. Any subsequent rest api calls made through th... | ixnetwork_restpy/testplatform/sessions/ixnetwork/quicktest/testconfig_fcb75e51b768dc4f6f583b33d7ce0561.py | WaitForTest | OpenIxia/ixnetwork_restpy | 20 | python | def WaitForTest(self, *args, **kwargs):
'Executes the waitForTest operation on the server.\n\n Waits for the execution of the specified Quick Test to be completed.\n\n waitForTest(async_operation=bool)list\n -------------------------------------\n - async_operation (bool=False): True to ... | def WaitForTest(self, *args, **kwargs):
'Executes the waitForTest operation on the server.\n\n Waits for the execution of the specified Quick Test to be completed.\n\n waitForTest(async_operation=bool)list\n -------------------------------------\n - async_operation (bool=False): True to ... |
91bdea0d791017435eea4249579d74b61b7c5f91c5a59784761c4731f2738ee1 | def check_if_person(text):
'\n Using spacy, check if the title of the Wikipedia passage is a person.\n '
doc = NLP(text)
is_person = False
ents = [ent for ent in doc.ents]
for ent in ents:
if (ent.label_ == 'PERSON'):
is_person = True
return is_person | Using spacy, check if the title of the Wikipedia passage is a person. | parlai/tasks/md_gender/wikipedia.py | check_if_person | justinbuzzni/ParlAI | 9,228 | python | def check_if_person(text):
'\n \n '
doc = NLP(text)
is_person = False
ents = [ent for ent in doc.ents]
for ent in ents:
if (ent.label_ == 'PERSON'):
is_person = True
return is_person | def check_if_person(text):
'\n \n '
doc = NLP(text)
is_person = False
ents = [ent for ent in doc.ents]
for ent in ents:
if (ent.label_ == 'PERSON'):
is_person = True
return is_person<|docstring|>Using spacy, check if the title of the Wikipedia passage is a person.<|endo... |
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