repo stringclasses 85
values | path stringlengths 8 121 | func_name stringlengths 1 82 | original_string stringlengths 112 65.5k | language stringclasses 1
value | code stringlengths 112 65.5k | code_tokens listlengths 20 4.09k | docstring stringlengths 3 46.3k | docstring_tokens listlengths 1 564 | sha stringclasses 85
values | url stringlengths 93 218 | partition stringclasses 1
value |
|---|---|---|---|---|---|---|---|---|---|---|---|
apple/turicreate | src/external/xgboost/python-package/xgboost/core.py | Booster.predict | def predict(self, data, output_margin=False, ntree_limit=0, pred_leaf=False):
"""
Predict with data.
NOTE: This function is not thread safe.
For each booster object, predict can only be called from one thread.
If you want to run prediction using multiple thread, call... | python | def predict(self, data, output_margin=False, ntree_limit=0, pred_leaf=False):
"""
Predict with data.
NOTE: This function is not thread safe.
For each booster object, predict can only be called from one thread.
If you want to run prediction using multiple thread, call... | [
"def",
"predict",
"(",
"self",
",",
"data",
",",
"output_margin",
"=",
"False",
",",
"ntree_limit",
"=",
"0",
",",
"pred_leaf",
"=",
"False",
")",
":",
"option_mask",
"=",
"0x00",
"if",
"output_margin",
":",
"option_mask",
"|=",
"0x01",
"if",
"pred_leaf",
... | Predict with data.
NOTE: This function is not thread safe.
For each booster object, predict can only be called from one thread.
If you want to run prediction using multiple thread, call bst.copy() to make copies
of model object and then call predict
Parameters... | [
"Predict",
"with",
"data",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/external/xgboost/python-package/xgboost/core.py#L774-L824 | train |
apple/turicreate | src/external/xgboost/python-package/xgboost/core.py | Booster.save_raw | def save_raw(self):
"""
Save the model to a in memory buffer represetation
Returns
-------
a in memory buffer represetation of the model
"""
length = ctypes.c_ulong()
cptr = ctypes.POINTER(ctypes.c_char)()
_check_call(_LIB.XGBoosterGetModelRaw(sel... | python | def save_raw(self):
"""
Save the model to a in memory buffer represetation
Returns
-------
a in memory buffer represetation of the model
"""
length = ctypes.c_ulong()
cptr = ctypes.POINTER(ctypes.c_char)()
_check_call(_LIB.XGBoosterGetModelRaw(sel... | [
"def",
"save_raw",
"(",
"self",
")",
":",
"length",
"=",
"ctypes",
".",
"c_ulong",
"(",
")",
"cptr",
"=",
"ctypes",
".",
"POINTER",
"(",
"ctypes",
".",
"c_char",
")",
"(",
")",
"_check_call",
"(",
"_LIB",
".",
"XGBoosterGetModelRaw",
"(",
"self",
".",
... | Save the model to a in memory buffer represetation
Returns
-------
a in memory buffer represetation of the model | [
"Save",
"the",
"model",
"to",
"a",
"in",
"memory",
"buffer",
"represetation"
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/external/xgboost/python-package/xgboost/core.py#L840-L853 | train |
apple/turicreate | src/external/xgboost/python-package/xgboost/core.py | Booster.load_model | def load_model(self, fname):
"""
Load the model from a file.
Parameters
----------
fname : string or a memory buffer
Input file name or memory buffer(see also save_raw)
"""
if isinstance(fname, STRING_TYPES): # assume file name
if os.path... | python | def load_model(self, fname):
"""
Load the model from a file.
Parameters
----------
fname : string or a memory buffer
Input file name or memory buffer(see also save_raw)
"""
if isinstance(fname, STRING_TYPES): # assume file name
if os.path... | [
"def",
"load_model",
"(",
"self",
",",
"fname",
")",
":",
"if",
"isinstance",
"(",
"fname",
",",
"STRING_TYPES",
")",
":",
"# assume file name",
"if",
"os",
".",
"path",
".",
"exists",
"(",
"fname",
")",
":",
"_LIB",
".",
"XGBoosterLoadModel",
"(",
"self... | Load the model from a file.
Parameters
----------
fname : string or a memory buffer
Input file name or memory buffer(see also save_raw) | [
"Load",
"the",
"model",
"from",
"a",
"file",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/external/xgboost/python-package/xgboost/core.py#L855-L873 | train |
apple/turicreate | src/external/xgboost/python-package/xgboost/core.py | Booster.dump_model | def dump_model(self, fout, fmap='', with_stats=False):
"""
Dump model into a text file.
Parameters
----------
foout : string
Output file name.
fmap : string, optional
Name of the file containing feature map names.
with_stats : bool (option... | python | def dump_model(self, fout, fmap='', with_stats=False):
"""
Dump model into a text file.
Parameters
----------
foout : string
Output file name.
fmap : string, optional
Name of the file containing feature map names.
with_stats : bool (option... | [
"def",
"dump_model",
"(",
"self",
",",
"fout",
",",
"fmap",
"=",
"''",
",",
"with_stats",
"=",
"False",
")",
":",
"if",
"isinstance",
"(",
"fout",
",",
"STRING_TYPES",
")",
":",
"fout",
"=",
"open",
"(",
"fout",
",",
"'w'",
")",
"need_close",
"=",
... | Dump model into a text file.
Parameters
----------
foout : string
Output file name.
fmap : string, optional
Name of the file containing feature map names.
with_stats : bool (optional)
Controls whether the split statistics are output. | [
"Dump",
"model",
"into",
"a",
"text",
"file",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/external/xgboost/python-package/xgboost/core.py#L875-L898 | train |
apple/turicreate | src/external/xgboost/python-package/xgboost/core.py | Booster.get_dump | def get_dump(self, fmap='', with_stats=False):
"""
Returns the dump the model as a list of strings.
"""
length = ctypes.c_ulong()
sarr = ctypes.POINTER(ctypes.c_char_p)()
if self.feature_names is not None and fmap == '':
flen = int(len(self.feature_names))
... | python | def get_dump(self, fmap='', with_stats=False):
"""
Returns the dump the model as a list of strings.
"""
length = ctypes.c_ulong()
sarr = ctypes.POINTER(ctypes.c_char_p)()
if self.feature_names is not None and fmap == '':
flen = int(len(self.feature_names))
... | [
"def",
"get_dump",
"(",
"self",
",",
"fmap",
"=",
"''",
",",
"with_stats",
"=",
"False",
")",
":",
"length",
"=",
"ctypes",
".",
"c_ulong",
"(",
")",
"sarr",
"=",
"ctypes",
".",
"POINTER",
"(",
"ctypes",
".",
"c_char_p",
")",
"(",
")",
"if",
"self"... | Returns the dump the model as a list of strings. | [
"Returns",
"the",
"dump",
"the",
"model",
"as",
"a",
"list",
"of",
"strings",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/external/xgboost/python-package/xgboost/core.py#L900-L934 | train |
apple/turicreate | src/external/xgboost/python-package/xgboost/core.py | Booster.get_fscore | def get_fscore(self, fmap=''):
"""Get feature importance of each feature.
Parameters
----------
fmap: str (optional)
The name of feature map file
"""
trees = self.get_dump(fmap)
fmap = {}
for tree in trees:
for line in tree.split('\... | python | def get_fscore(self, fmap=''):
"""Get feature importance of each feature.
Parameters
----------
fmap: str (optional)
The name of feature map file
"""
trees = self.get_dump(fmap)
fmap = {}
for tree in trees:
for line in tree.split('\... | [
"def",
"get_fscore",
"(",
"self",
",",
"fmap",
"=",
"''",
")",
":",
"trees",
"=",
"self",
".",
"get_dump",
"(",
"fmap",
")",
"fmap",
"=",
"{",
"}",
"for",
"tree",
"in",
"trees",
":",
"for",
"line",
"in",
"tree",
".",
"split",
"(",
"'\\n'",
")",
... | Get feature importance of each feature.
Parameters
----------
fmap: str (optional)
The name of feature map file | [
"Get",
"feature",
"importance",
"of",
"each",
"feature",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/external/xgboost/python-package/xgboost/core.py#L936-L957 | train |
apple/turicreate | src/external/xgboost/python-package/xgboost/core.py | Booster._validate_features | def _validate_features(self, data):
"""
Validate Booster and data's feature_names are identical.
Set feature_names and feature_types from DMatrix
"""
if self.feature_names is None:
self.feature_names = data.feature_names
self.feature_types = data.feature_t... | python | def _validate_features(self, data):
"""
Validate Booster and data's feature_names are identical.
Set feature_names and feature_types from DMatrix
"""
if self.feature_names is None:
self.feature_names = data.feature_names
self.feature_types = data.feature_t... | [
"def",
"_validate_features",
"(",
"self",
",",
"data",
")",
":",
"if",
"self",
".",
"feature_names",
"is",
"None",
":",
"self",
".",
"feature_names",
"=",
"data",
".",
"feature_names",
"self",
".",
"feature_types",
"=",
"data",
".",
"feature_types",
"else",
... | Validate Booster and data's feature_names are identical.
Set feature_names and feature_types from DMatrix | [
"Validate",
"Booster",
"and",
"data",
"s",
"feature_names",
"are",
"identical",
".",
"Set",
"feature_names",
"and",
"feature_types",
"from",
"DMatrix"
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/external/xgboost/python-package/xgboost/core.py#L959-L972 | train |
apple/turicreate | src/unity/python/turicreate/meta/bytecodetools/disassembler_.py | disassembler | def disassembler(co, lasti= -1):
"""Disassemble a code object.
:param co: code object
:param lasti: internal
:yields: Instructions.
"""
code = co.co_code
labels = dis.findlabels(code)
linestarts = dict(dis.findlinestarts(co))
i = 0
extended_arg = 0
lineno = 0
... | python | def disassembler(co, lasti= -1):
"""Disassemble a code object.
:param co: code object
:param lasti: internal
:yields: Instructions.
"""
code = co.co_code
labels = dis.findlabels(code)
linestarts = dict(dis.findlinestarts(co))
i = 0
extended_arg = 0
lineno = 0
... | [
"def",
"disassembler",
"(",
"co",
",",
"lasti",
"=",
"-",
"1",
")",
":",
"code",
"=",
"co",
".",
"co_code",
"labels",
"=",
"dis",
".",
"findlabels",
"(",
"code",
")",
"linestarts",
"=",
"dict",
"(",
"dis",
".",
"findlinestarts",
"(",
"co",
")",
")"... | Disassemble a code object.
:param co: code object
:param lasti: internal
:yields: Instructions. | [
"Disassemble",
"a",
"code",
"object",
".",
":",
"param",
"co",
":",
"code",
"object",
":",
"param",
"lasti",
":",
"internal",
":",
"yields",
":",
"Instructions",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/meta/bytecodetools/disassembler_.py#L58-L111 | train |
apple/turicreate | deps/src/boost_1_68_0/tools/build/src/util/regex.py | transform | def transform (list, pattern, indices = [1]):
""" Matches all elements of 'list' agains the 'pattern'
and returns a list of the elements indicated by indices of
all successfull matches. If 'indices' is omitted returns
a list of first paranthethised groups of all successfull
matches.
... | python | def transform (list, pattern, indices = [1]):
""" Matches all elements of 'list' agains the 'pattern'
and returns a list of the elements indicated by indices of
all successfull matches. If 'indices' is omitted returns
a list of first paranthethised groups of all successfull
matches.
... | [
"def",
"transform",
"(",
"list",
",",
"pattern",
",",
"indices",
"=",
"[",
"1",
"]",
")",
":",
"result",
"=",
"[",
"]",
"for",
"e",
"in",
"list",
":",
"m",
"=",
"re",
".",
"match",
"(",
"pattern",
",",
"e",
")",
"if",
"m",
":",
"for",
"i",
... | Matches all elements of 'list' agains the 'pattern'
and returns a list of the elements indicated by indices of
all successfull matches. If 'indices' is omitted returns
a list of first paranthethised groups of all successfull
matches. | [
"Matches",
"all",
"elements",
"of",
"list",
"agains",
"the",
"pattern",
"and",
"returns",
"a",
"list",
"of",
"the",
"elements",
"indicated",
"by",
"indices",
"of",
"all",
"successfull",
"matches",
".",
"If",
"indices",
"is",
"omitted",
"returns",
"a",
"list"... | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/deps/src/boost_1_68_0/tools/build/src/util/regex.py#L11-L27 | train |
apple/turicreate | deps/src/boost_1_68_0/tools/build/src/util/regex.py | replace | def replace(s, pattern, replacement):
"""Replaces occurrences of a match string in a given
string and returns the new string. The match string
can be a regex expression.
Args:
s (str): the string to modify
pattern (str): the search expression
replacement (str): the... | python | def replace(s, pattern, replacement):
"""Replaces occurrences of a match string in a given
string and returns the new string. The match string
can be a regex expression.
Args:
s (str): the string to modify
pattern (str): the search expression
replacement (str): the... | [
"def",
"replace",
"(",
"s",
",",
"pattern",
",",
"replacement",
")",
":",
"# the replacement string may contain invalid backreferences (like \\1 or \\g)",
"# which will cause python's regex to blow up. Since this should emulate",
"# the jam version exactly and the jam version didn't support"... | Replaces occurrences of a match string in a given
string and returns the new string. The match string
can be a regex expression.
Args:
s (str): the string to modify
pattern (str): the search expression
replacement (str): the string to replace each match with | [
"Replaces",
"occurrences",
"of",
"a",
"match",
"string",
"in",
"a",
"given",
"string",
"and",
"returns",
"the",
"new",
"string",
".",
"The",
"match",
"string",
"can",
"be",
"a",
"regex",
"expression",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/deps/src/boost_1_68_0/tools/build/src/util/regex.py#L31-L50 | train |
apple/turicreate | deps/src/boost_1_68_0/tools/build/src/util/regex.py | replace_list | def replace_list(items, match, replacement):
"""Replaces occurrences of a match string in a given list of strings and returns
a list of new strings. The match string can be a regex expression.
Args:
items (list): the list of strings to modify.
match (str): the search expression... | python | def replace_list(items, match, replacement):
"""Replaces occurrences of a match string in a given list of strings and returns
a list of new strings. The match string can be a regex expression.
Args:
items (list): the list of strings to modify.
match (str): the search expression... | [
"def",
"replace_list",
"(",
"items",
",",
"match",
",",
"replacement",
")",
":",
"return",
"[",
"replace",
"(",
"item",
",",
"match",
",",
"replacement",
")",
"for",
"item",
"in",
"items",
"]"
] | Replaces occurrences of a match string in a given list of strings and returns
a list of new strings. The match string can be a regex expression.
Args:
items (list): the list of strings to modify.
match (str): the search expression.
replacement (str): the string to replace ... | [
"Replaces",
"occurrences",
"of",
"a",
"match",
"string",
"in",
"a",
"given",
"list",
"of",
"strings",
"and",
"returns",
"a",
"list",
"of",
"new",
"strings",
".",
"The",
"match",
"string",
"can",
"be",
"a",
"regex",
"expression",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/deps/src/boost_1_68_0/tools/build/src/util/regex.py#L54-L63 | train |
apple/turicreate | src/unity/python/turicreate/toolkits/topic_model/topic_model.py | create | def create(dataset,
num_topics=10,
initial_topics=None,
alpha=None,
beta=.1,
num_iterations=10,
num_burnin=5,
associations=None,
verbose=False,
print_interval=10,
validation_set=None,
method='auto'):... | python | def create(dataset,
num_topics=10,
initial_topics=None,
alpha=None,
beta=.1,
num_iterations=10,
num_burnin=5,
associations=None,
verbose=False,
print_interval=10,
validation_set=None,
method='auto'):... | [
"def",
"create",
"(",
"dataset",
",",
"num_topics",
"=",
"10",
",",
"initial_topics",
"=",
"None",
",",
"alpha",
"=",
"None",
",",
"beta",
"=",
".1",
",",
"num_iterations",
"=",
"10",
",",
"num_burnin",
"=",
"5",
",",
"associations",
"=",
"None",
",",
... | Create a topic model from the given data set. A topic model assumes each
document is a mixture of a set of topics, where for each topic some words
are more likely than others. One statistical approach to do this is called a
"topic model". This method learns a topic model for the given document
collectio... | [
"Create",
"a",
"topic",
"model",
"from",
"the",
"given",
"data",
"set",
".",
"A",
"topic",
"model",
"assumes",
"each",
"document",
"is",
"a",
"mixture",
"of",
"a",
"set",
"of",
"topics",
"where",
"for",
"each",
"topic",
"some",
"words",
"are",
"more",
... | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/toolkits/topic_model/topic_model.py#L35-L271 | train |
apple/turicreate | src/unity/python/turicreate/toolkits/topic_model/topic_model.py | perplexity | def perplexity(test_data, predictions, topics, vocabulary):
"""
Compute the perplexity of a set of test documents given a set
of predicted topics.
Let theta be the matrix of document-topic probabilities, where
theta_ik = p(topic k | document i). Let Phi be the matrix of term-topic
probabilities... | python | def perplexity(test_data, predictions, topics, vocabulary):
"""
Compute the perplexity of a set of test documents given a set
of predicted topics.
Let theta be the matrix of document-topic probabilities, where
theta_ik = p(topic k | document i). Let Phi be the matrix of term-topic
probabilities... | [
"def",
"perplexity",
"(",
"test_data",
",",
"predictions",
",",
"topics",
",",
"vocabulary",
")",
":",
"test_data",
"=",
"_check_input",
"(",
"test_data",
")",
"assert",
"isinstance",
"(",
"predictions",
",",
"_SArray",
")",
",",
"\"Predictions must be an SArray o... | Compute the perplexity of a set of test documents given a set
of predicted topics.
Let theta be the matrix of document-topic probabilities, where
theta_ik = p(topic k | document i). Let Phi be the matrix of term-topic
probabilities, where phi_jk = p(word j | topic k).
Then for each word in each do... | [
"Compute",
"the",
"perplexity",
"of",
"a",
"set",
"of",
"test",
"documents",
"given",
"a",
"set",
"of",
"predicted",
"topics",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/toolkits/topic_model/topic_model.py#L740-L826 | train |
apple/turicreate | src/unity/python/turicreate/toolkits/topic_model/topic_model.py | TopicModel._get_summary_struct | def _get_summary_struct(self):
"""
Returns a structured description of the model, including (where relevant)
the schema of the training data, description of the training data,
training statistics, and model hyperparameters.
Returns
-------
sections : list (of lis... | python | def _get_summary_struct(self):
"""
Returns a structured description of the model, including (where relevant)
the schema of the training data, description of the training data,
training statistics, and model hyperparameters.
Returns
-------
sections : list (of lis... | [
"def",
"_get_summary_struct",
"(",
"self",
")",
":",
"section_titles",
"=",
"[",
"'Schema'",
",",
"'Settings'",
"]",
"vocab_length",
"=",
"len",
"(",
"self",
".",
"vocabulary",
")",
"verbose",
"=",
"self",
".",
"verbose",
"==",
"1",
"sections",
"=",
"[",
... | Returns a structured description of the model, including (where relevant)
the schema of the training data, description of the training data,
training statistics, and model hyperparameters.
Returns
-------
sections : list (of list of tuples)
A list of summary sections... | [
"Returns",
"a",
"structured",
"description",
"of",
"the",
"model",
"including",
"(",
"where",
"relevant",
")",
"the",
"schema",
"of",
"the",
"training",
"data",
"description",
"of",
"the",
"training",
"data",
"training",
"statistics",
"and",
"model",
"hyperparam... | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/toolkits/topic_model/topic_model.py#L303-L338 | train |
apple/turicreate | src/unity/python/turicreate/toolkits/topic_model/topic_model.py | TopicModel._get | def _get(self, field):
"""
Return the value of a given field. The list of all queryable fields is
detailed below, and can be obtained with the
:py:func:`~TopicModel._list_fields` method.
+-----------------------+----------------------------------------------+
| Fiel... | python | def _get(self, field):
"""
Return the value of a given field. The list of all queryable fields is
detailed below, and can be obtained with the
:py:func:`~TopicModel._list_fields` method.
+-----------------------+----------------------------------------------+
| Fiel... | [
"def",
"_get",
"(",
"self",
",",
"field",
")",
":",
"opts",
"=",
"{",
"'model'",
":",
"self",
".",
"__proxy__",
",",
"'field'",
":",
"field",
"}",
"response",
"=",
"_turicreate",
".",
"extensions",
".",
"_text",
".",
"topicmodel_get_value",
"(",
"opts",
... | Return the value of a given field. The list of all queryable fields is
detailed below, and can be obtained with the
:py:func:`~TopicModel._list_fields` method.
+-----------------------+----------------------------------------------+
| Field | Description ... | [
"Return",
"the",
"value",
"of",
"a",
"given",
"field",
".",
"The",
"list",
"of",
"all",
"queryable",
"fields",
"is",
"detailed",
"below",
"and",
"can",
"be",
"obtained",
"with",
"the",
":",
"py",
":",
"func",
":",
"~TopicModel",
".",
"_list_fields",
"met... | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/toolkits/topic_model/topic_model.py#L362-L394 | train |
apple/turicreate | src/unity/python/turicreate/toolkits/topic_model/topic_model.py | TopicModel._training_stats | def _training_stats(self):
"""
Return a dictionary of statistics collected during creation of the
model. These statistics are also available with the ``get`` method and
are described in more detail in that method's documentation.
Returns
-------
out : dict
... | python | def _training_stats(self):
"""
Return a dictionary of statistics collected during creation of the
model. These statistics are also available with the ``get`` method and
are described in more detail in that method's documentation.
Returns
-------
out : dict
... | [
"def",
"_training_stats",
"(",
"self",
")",
":",
"fields",
"=",
"self",
".",
"_list_fields",
"(",
")",
"stat_fields",
"=",
"[",
"'training_time'",
",",
"'training_iterations'",
"]",
"if",
"'validation_perplexity'",
"in",
"fields",
":",
"stat_fields",
".",
"appen... | Return a dictionary of statistics collected during creation of the
model. These statistics are also available with the ``get`` method and
are described in more detail in that method's documentation.
Returns
-------
out : dict
Dictionary of statistics compiled during ... | [
"Return",
"a",
"dictionary",
"of",
"statistics",
"collected",
"during",
"creation",
"of",
"the",
"model",
".",
"These",
"statistics",
"are",
"also",
"available",
"with",
"the",
"get",
"method",
"and",
"are",
"described",
"in",
"more",
"detail",
"in",
"that",
... | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/toolkits/topic_model/topic_model.py#L396-L428 | train |
apple/turicreate | src/unity/python/turicreate/toolkits/topic_model/topic_model.py | TopicModel.get_topics | def get_topics(self, topic_ids=None, num_words=5, cdf_cutoff=1.0,
output_type='topic_probabilities'):
"""
Get the words associated with a given topic. The score column is the
probability of choosing that word given that you have chosen a
particular topic.
Par... | python | def get_topics(self, topic_ids=None, num_words=5, cdf_cutoff=1.0,
output_type='topic_probabilities'):
"""
Get the words associated with a given topic. The score column is the
probability of choosing that word given that you have chosen a
particular topic.
Par... | [
"def",
"get_topics",
"(",
"self",
",",
"topic_ids",
"=",
"None",
",",
"num_words",
"=",
"5",
",",
"cdf_cutoff",
"=",
"1.0",
",",
"output_type",
"=",
"'topic_probabilities'",
")",
":",
"_check_categorical_option_type",
"(",
"'output_type'",
",",
"output_type",
",... | Get the words associated with a given topic. The score column is the
probability of choosing that word given that you have chosen a
particular topic.
Parameters
----------
topic_ids : list of int, optional
The topics to retrieve words. Topic ids are zero-based.
... | [
"Get",
"the",
"words",
"associated",
"with",
"a",
"given",
"topic",
".",
"The",
"score",
"column",
"is",
"the",
"probability",
"of",
"choosing",
"that",
"word",
"given",
"that",
"you",
"have",
"chosen",
"a",
"particular",
"topic",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/toolkits/topic_model/topic_model.py#L430-L568 | train |
apple/turicreate | src/unity/python/turicreate/toolkits/topic_model/topic_model.py | TopicModel.predict | def predict(self, dataset, output_type='assignment', num_burnin=None):
"""
Use the model to predict topics for each document. The provided
`dataset` should be an SArray object where each element is a dict
representing a single document in bag-of-words format, where keys
are words... | python | def predict(self, dataset, output_type='assignment', num_burnin=None):
"""
Use the model to predict topics for each document. The provided
`dataset` should be an SArray object where each element is a dict
representing a single document in bag-of-words format, where keys
are words... | [
"def",
"predict",
"(",
"self",
",",
"dataset",
",",
"output_type",
"=",
"'assignment'",
",",
"num_burnin",
"=",
"None",
")",
":",
"dataset",
"=",
"_check_input",
"(",
"dataset",
")",
"if",
"num_burnin",
"is",
"None",
":",
"num_burnin",
"=",
"self",
".",
... | Use the model to predict topics for each document. The provided
`dataset` should be an SArray object where each element is a dict
representing a single document in bag-of-words format, where keys
are words and values are their corresponding counts. If `dataset` is
an SFrame, then it must... | [
"Use",
"the",
"model",
"to",
"predict",
"topics",
"for",
"each",
"document",
".",
"The",
"provided",
"dataset",
"should",
"be",
"an",
"SArray",
"object",
"where",
"each",
"element",
"is",
"a",
"dict",
"representing",
"a",
"single",
"document",
"in",
"bag",
... | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/toolkits/topic_model/topic_model.py#L570-L660 | train |
apple/turicreate | src/unity/python/turicreate/toolkits/topic_model/topic_model.py | TopicModel.evaluate | def evaluate(self, train_data, test_data=None, metric='perplexity'):
"""
Estimate the model's ability to predict new data. Imagine you have a
corpus of books. One common approach to evaluating topic models is to
train on the first half of all of the books and see how well the model
... | python | def evaluate(self, train_data, test_data=None, metric='perplexity'):
"""
Estimate the model's ability to predict new data. Imagine you have a
corpus of books. One common approach to evaluating topic models is to
train on the first half of all of the books and see how well the model
... | [
"def",
"evaluate",
"(",
"self",
",",
"train_data",
",",
"test_data",
"=",
"None",
",",
"metric",
"=",
"'perplexity'",
")",
":",
"train_data",
"=",
"_check_input",
"(",
"train_data",
")",
"if",
"test_data",
"is",
"None",
":",
"test_data",
"=",
"train_data",
... | Estimate the model's ability to predict new data. Imagine you have a
corpus of books. One common approach to evaluating topic models is to
train on the first half of all of the books and see how well the model
predicts the second half of each book.
This method returns a metric called pe... | [
"Estimate",
"the",
"model",
"s",
"ability",
"to",
"predict",
"new",
"data",
".",
"Imagine",
"you",
"have",
"a",
"corpus",
"of",
"books",
".",
"One",
"common",
"approach",
"to",
"evaluating",
"topic",
"models",
"is",
"to",
"train",
"on",
"the",
"first",
"... | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/toolkits/topic_model/topic_model.py#L663-L731 | train |
apple/turicreate | src/unity/python/turicreate/toolkits/object_detector/_detection.py | bbox_to_ybox | def bbox_to_ybox(bbox):
"""Convert from corner bounding box to center/shape"""
return [
(bbox[1] + bbox[3]) / 2,
(bbox[0] + bbox[2]) / 2,
(bbox[3] - bbox[1]),
(bbox[2] - bbox[0]),
] | python | def bbox_to_ybox(bbox):
"""Convert from corner bounding box to center/shape"""
return [
(bbox[1] + bbox[3]) / 2,
(bbox[0] + bbox[2]) / 2,
(bbox[3] - bbox[1]),
(bbox[2] - bbox[0]),
] | [
"def",
"bbox_to_ybox",
"(",
"bbox",
")",
":",
"return",
"[",
"(",
"bbox",
"[",
"1",
"]",
"+",
"bbox",
"[",
"3",
"]",
")",
"/",
"2",
",",
"(",
"bbox",
"[",
"0",
"]",
"+",
"bbox",
"[",
"2",
"]",
")",
"/",
"2",
",",
"(",
"bbox",
"[",
"3",
... | Convert from corner bounding box to center/shape | [
"Convert",
"from",
"corner",
"bounding",
"box",
"to",
"center",
"/",
"shape"
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/toolkits/object_detector/_detection.py#L17-L24 | train |
apple/turicreate | src/unity/python/turicreate/toolkits/drawing_classifier/drawing_classifier.py | _raise_error_if_not_drawing_classifier_input_sframe | def _raise_error_if_not_drawing_classifier_input_sframe(
dataset, feature, target):
"""
Performs some sanity checks on the SFrame provided as input to
`turicreate.drawing_classifier.create` and raises a ToolkitError
if something in the dataset is missing or wrong.
"""
from turicreate.toolki... | python | def _raise_error_if_not_drawing_classifier_input_sframe(
dataset, feature, target):
"""
Performs some sanity checks on the SFrame provided as input to
`turicreate.drawing_classifier.create` and raises a ToolkitError
if something in the dataset is missing or wrong.
"""
from turicreate.toolki... | [
"def",
"_raise_error_if_not_drawing_classifier_input_sframe",
"(",
"dataset",
",",
"feature",
",",
"target",
")",
":",
"from",
"turicreate",
".",
"toolkits",
".",
"_internal_utils",
"import",
"_raise_error_if_not_sframe",
"_raise_error_if_not_sframe",
"(",
"dataset",
")",
... | Performs some sanity checks on the SFrame provided as input to
`turicreate.drawing_classifier.create` and raises a ToolkitError
if something in the dataset is missing or wrong. | [
"Performs",
"some",
"sanity",
"checks",
"on",
"the",
"SFrame",
"provided",
"as",
"input",
"to",
"turicreate",
".",
"drawing_classifier",
".",
"create",
"and",
"raises",
"a",
"ToolkitError",
"if",
"something",
"in",
"the",
"dataset",
"is",
"missing",
"or",
"wro... | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/toolkits/drawing_classifier/drawing_classifier.py#L22-L45 | train |
apple/turicreate | src/unity/python/turicreate/toolkits/drawing_classifier/drawing_classifier.py | create | def create(input_dataset, target, feature=None, validation_set='auto',
warm_start='auto', batch_size=256,
max_iterations=100, verbose=True):
"""
Create a :class:`DrawingClassifier` model.
Parameters
----------
dataset : SFrame
Input data. The columns named by the ``... | python | def create(input_dataset, target, feature=None, validation_set='auto',
warm_start='auto', batch_size=256,
max_iterations=100, verbose=True):
"""
Create a :class:`DrawingClassifier` model.
Parameters
----------
dataset : SFrame
Input data. The columns named by the ``... | [
"def",
"create",
"(",
"input_dataset",
",",
"target",
",",
"feature",
"=",
"None",
",",
"validation_set",
"=",
"'auto'",
",",
"warm_start",
"=",
"'auto'",
",",
"batch_size",
"=",
"256",
",",
"max_iterations",
"=",
"100",
",",
"verbose",
"=",
"True",
")",
... | Create a :class:`DrawingClassifier` model.
Parameters
----------
dataset : SFrame
Input data. The columns named by the ``feature`` and ``target``
parameters will be extracted for training the drawing classifier.
target : string
Name of the column containing the target variable.... | [
"Create",
"a",
":",
"class",
":",
"DrawingClassifier",
"model",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/toolkits/drawing_classifier/drawing_classifier.py#L47-L329 | train |
apple/turicreate | src/unity/python/turicreate/toolkits/drawing_classifier/drawing_classifier.py | DrawingClassifier.export_coreml | def export_coreml(self, filename, verbose=False):
"""
Save the model in Core ML format. The Core ML model takes a grayscale
drawing of fixed size as input and produces two outputs:
`classLabel` and `labelProbabilities`.
The first one, `classLabel` is an integer or string (depe... | python | def export_coreml(self, filename, verbose=False):
"""
Save the model in Core ML format. The Core ML model takes a grayscale
drawing of fixed size as input and produces two outputs:
`classLabel` and `labelProbabilities`.
The first one, `classLabel` is an integer or string (depe... | [
"def",
"export_coreml",
"(",
"self",
",",
"filename",
",",
"verbose",
"=",
"False",
")",
":",
"import",
"mxnet",
"as",
"_mx",
"from",
".",
".",
"_mxnet",
".",
"_mxnet_to_coreml",
"import",
"_mxnet_converter",
"import",
"coremltools",
"as",
"_coremltools",
"bat... | Save the model in Core ML format. The Core ML model takes a grayscale
drawing of fixed size as input and produces two outputs:
`classLabel` and `labelProbabilities`.
The first one, `classLabel` is an integer or string (depending on the
classes the model was trained on) to store the la... | [
"Save",
"the",
"model",
"in",
"Core",
"ML",
"format",
".",
"The",
"Core",
"ML",
"model",
"takes",
"a",
"grayscale",
"drawing",
"of",
"fixed",
"size",
"as",
"input",
"and",
"produces",
"two",
"outputs",
":",
"classLabel",
"and",
"labelProbabilities",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/toolkits/drawing_classifier/drawing_classifier.py#L435-L519 | train |
apple/turicreate | src/unity/python/turicreate/toolkits/drawing_classifier/drawing_classifier.py | DrawingClassifier._predict_with_probabilities | def _predict_with_probabilities(self, input_dataset, batch_size=None,
verbose=True):
"""
Predict with probabilities. The core prediction part that both
`evaluate` and `predict` share.
Returns an SFrame with two columns, self.target, and "probabilities".
The column wit... | python | def _predict_with_probabilities(self, input_dataset, batch_size=None,
verbose=True):
"""
Predict with probabilities. The core prediction part that both
`evaluate` and `predict` share.
Returns an SFrame with two columns, self.target, and "probabilities".
The column wit... | [
"def",
"_predict_with_probabilities",
"(",
"self",
",",
"input_dataset",
",",
"batch_size",
"=",
"None",
",",
"verbose",
"=",
"True",
")",
":",
"from",
".",
".",
"_mxnet",
"import",
"_mxnet_utils",
"import",
"mxnet",
"as",
"_mx",
"from",
".",
"_sframe_loader",... | Predict with probabilities. The core prediction part that both
`evaluate` and `predict` share.
Returns an SFrame with two columns, self.target, and "probabilities".
The column with column name, self.target, contains the predictions made
by the model for the provided dataset.
... | [
"Predict",
"with",
"probabilities",
".",
"The",
"core",
"prediction",
"part",
"that",
"both",
"evaluate",
"and",
"predict",
"share",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/toolkits/drawing_classifier/drawing_classifier.py#L522-L601 | train |
apple/turicreate | src/unity/python/turicreate/toolkits/drawing_classifier/drawing_classifier.py | DrawingClassifier.evaluate | def evaluate(self, dataset, metric='auto', batch_size=None, verbose=True):
"""
Evaluate the model by making predictions of target values and comparing
these to actual values.
Parameters
----------
dataset : SFrame
Dataset of new observations. Must inc... | python | def evaluate(self, dataset, metric='auto', batch_size=None, verbose=True):
"""
Evaluate the model by making predictions of target values and comparing
these to actual values.
Parameters
----------
dataset : SFrame
Dataset of new observations. Must inc... | [
"def",
"evaluate",
"(",
"self",
",",
"dataset",
",",
"metric",
"=",
"'auto'",
",",
"batch_size",
"=",
"None",
",",
"verbose",
"=",
"True",
")",
":",
"if",
"self",
".",
"target",
"not",
"in",
"dataset",
".",
"column_names",
"(",
")",
":",
"raise",
"_T... | Evaluate the model by making predictions of target values and comparing
these to actual values.
Parameters
----------
dataset : SFrame
Dataset of new observations. Must include columns with the same
names as the feature and target columns used for model t... | [
"Evaluate",
"the",
"model",
"by",
"making",
"predictions",
"of",
"target",
"values",
"and",
"comparing",
"these",
"to",
"actual",
"values",
".",
"Parameters",
"----------",
"dataset",
":",
"SFrame",
"Dataset",
"of",
"new",
"observations",
".",
"Must",
"include",... | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/toolkits/drawing_classifier/drawing_classifier.py#L603-L690 | train |
apple/turicreate | src/unity/python/turicreate/toolkits/drawing_classifier/drawing_classifier.py | DrawingClassifier.predict_topk | def predict_topk(self, dataset, output_type="probability", k=3,
batch_size=None):
"""
Return top-k predictions for the ``dataset``, using the trained model.
Predictions are returned as an SFrame with three columns: `id`,
`class`, and `probability` or `rank`, depending on the ``ou... | python | def predict_topk(self, dataset, output_type="probability", k=3,
batch_size=None):
"""
Return top-k predictions for the ``dataset``, using the trained model.
Predictions are returned as an SFrame with three columns: `id`,
`class`, and `probability` or `rank`, depending on the ``ou... | [
"def",
"predict_topk",
"(",
"self",
",",
"dataset",
",",
"output_type",
"=",
"\"probability\"",
",",
"k",
"=",
"3",
",",
"batch_size",
"=",
"None",
")",
":",
"_tkutl",
".",
"_check_categorical_option_type",
"(",
"\"output_type\"",
",",
"output_type",
",",
"[",... | Return top-k predictions for the ``dataset``, using the trained model.
Predictions are returned as an SFrame with three columns: `id`,
`class`, and `probability` or `rank`, depending on the ``output_type``
parameter.
Parameters
----------
dataset : SFrame | SArray | turi... | [
"Return",
"top",
"-",
"k",
"predictions",
"for",
"the",
"dataset",
"using",
"the",
"trained",
"model",
".",
"Predictions",
"are",
"returned",
"as",
"an",
"SFrame",
"with",
"three",
"columns",
":",
"id",
"class",
"and",
"probability",
"or",
"rank",
"depending... | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/toolkits/drawing_classifier/drawing_classifier.py#L692-L785 | train |
apple/turicreate | src/unity/python/turicreate/toolkits/drawing_classifier/drawing_classifier.py | DrawingClassifier.predict | def predict(self, data, output_type='class', batch_size=None, verbose=True):
"""
Predict on an SFrame or SArray of drawings, or on a single drawing.
Parameters
----------
data : SFrame | SArray | tc.Image | list
The drawing(s) on which to perform drawing classificati... | python | def predict(self, data, output_type='class', batch_size=None, verbose=True):
"""
Predict on an SFrame or SArray of drawings, or on a single drawing.
Parameters
----------
data : SFrame | SArray | tc.Image | list
The drawing(s) on which to perform drawing classificati... | [
"def",
"predict",
"(",
"self",
",",
"data",
",",
"output_type",
"=",
"'class'",
",",
"batch_size",
"=",
"None",
",",
"verbose",
"=",
"True",
")",
":",
"_tkutl",
".",
"_check_categorical_option_type",
"(",
"\"output_type\"",
",",
"output_type",
",",
"[",
"\"p... | Predict on an SFrame or SArray of drawings, or on a single drawing.
Parameters
----------
data : SFrame | SArray | tc.Image | list
The drawing(s) on which to perform drawing classification.
If dataset is an SFrame, it must have a column with the same name
as ... | [
"Predict",
"on",
"an",
"SFrame",
"or",
"SArray",
"of",
"drawings",
"or",
"on",
"a",
"single",
"drawing",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/toolkits/drawing_classifier/drawing_classifier.py#L788-L879 | train |
apple/turicreate | src/unity/python/turicreate/toolkits/_image_feature_extractor.py | MXFeatureExtractor.extract_features | def extract_features(self, dataset, feature, batch_size=64, verbose=False):
"""
Parameters
----------
dataset: SFrame
SFrame of images
"""
from ._mxnet._mx_sframe_iter import SFrameImageIter as _SFrameImageIter
from six.moves.queue import Queue as _Que... | python | def extract_features(self, dataset, feature, batch_size=64, verbose=False):
"""
Parameters
----------
dataset: SFrame
SFrame of images
"""
from ._mxnet._mx_sframe_iter import SFrameImageIter as _SFrameImageIter
from six.moves.queue import Queue as _Que... | [
"def",
"extract_features",
"(",
"self",
",",
"dataset",
",",
"feature",
",",
"batch_size",
"=",
"64",
",",
"verbose",
"=",
"False",
")",
":",
"from",
".",
"_mxnet",
".",
"_mx_sframe_iter",
"import",
"SFrameImageIter",
"as",
"_SFrameImageIter",
"from",
"six",
... | Parameters
----------
dataset: SFrame
SFrame of images | [
"Parameters",
"----------",
"dataset",
":",
"SFrame",
"SFrame",
"of",
"images"
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/toolkits/_image_feature_extractor.py#L106-L183 | train |
apple/turicreate | src/unity/python/turicreate/toolkits/_image_feature_extractor.py | MXFeatureExtractor.get_coreml_model | def get_coreml_model(self, mode = 'classifier'):
"""
Parameters
----------
mode: str ('classifier', 'regressor' or None)
Mode of the converted coreml model.
When mode = 'classifier', a NeuralNetworkClassifier spec will be constructed.
When mode = 'regr... | python | def get_coreml_model(self, mode = 'classifier'):
"""
Parameters
----------
mode: str ('classifier', 'regressor' or None)
Mode of the converted coreml model.
When mode = 'classifier', a NeuralNetworkClassifier spec will be constructed.
When mode = 'regr... | [
"def",
"get_coreml_model",
"(",
"self",
",",
"mode",
"=",
"'classifier'",
")",
":",
"import",
"mxnet",
"as",
"_mx",
"from",
".",
"_mxnet",
"import",
"_mxnet_utils",
"from",
".",
"_mxnet",
".",
"_mxnet_to_coreml",
"import",
"_mxnet_converter",
"(",
"sym",
",",
... | Parameters
----------
mode: str ('classifier', 'regressor' or None)
Mode of the converted coreml model.
When mode = 'classifier', a NeuralNetworkClassifier spec will be constructed.
When mode = 'regressor', a NeuralNetworkRegressor spec will be constructed.
R... | [
"Parameters",
"----------",
"mode",
":",
"str",
"(",
"classifier",
"regressor",
"or",
"None",
")",
"Mode",
"of",
"the",
"converted",
"coreml",
"model",
".",
"When",
"mode",
"=",
"classifier",
"a",
"NeuralNetworkClassifier",
"spec",
"will",
"be",
"constructed",
... | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/toolkits/_image_feature_extractor.py#L185-L224 | train |
apple/turicreate | src/unity/python/turicreate/toolkits/_pre_trained_models.py | DarkNetObjectDetectorBase.available_parameters_subset | def available_parameters_subset(self, mx_params):
"""
Takes an mxnet parameter collect (from Block.collect_params()) and
subsets it with the parameters available in this base network.
"""
from copy import copy
from collections import OrderedDict
subset_params = co... | python | def available_parameters_subset(self, mx_params):
"""
Takes an mxnet parameter collect (from Block.collect_params()) and
subsets it with the parameters available in this base network.
"""
from copy import copy
from collections import OrderedDict
subset_params = co... | [
"def",
"available_parameters_subset",
"(",
"self",
",",
"mx_params",
")",
":",
"from",
"copy",
"import",
"copy",
"from",
"collections",
"import",
"OrderedDict",
"subset_params",
"=",
"copy",
"(",
"mx_params",
")",
"subset_params",
".",
"_params",
"=",
"OrderedDict... | Takes an mxnet parameter collect (from Block.collect_params()) and
subsets it with the parameters available in this base network. | [
"Takes",
"an",
"mxnet",
"parameter",
"collect",
"(",
"from",
"Block",
".",
"collect_params",
"()",
")",
"and",
"subsets",
"it",
"with",
"the",
"parameters",
"available",
"in",
"this",
"base",
"network",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/toolkits/_pre_trained_models.py#L166-L177 | train |
apple/turicreate | src/unity/python/turicreate/toolkits/text_classifier/_text_classifier.py | _BOW_FEATURE_EXTRACTOR | def _BOW_FEATURE_EXTRACTOR(sf, target=None):
"""
Return an SFrame containing a bag of words representation of each column.
"""
if isinstance(sf, dict):
out = _tc.SArray([sf]).unpack('')
elif isinstance(sf, _tc.SFrame):
out = sf.__copy__()
else:
raise ValueError("Unrecogni... | python | def _BOW_FEATURE_EXTRACTOR(sf, target=None):
"""
Return an SFrame containing a bag of words representation of each column.
"""
if isinstance(sf, dict):
out = _tc.SArray([sf]).unpack('')
elif isinstance(sf, _tc.SFrame):
out = sf.__copy__()
else:
raise ValueError("Unrecogni... | [
"def",
"_BOW_FEATURE_EXTRACTOR",
"(",
"sf",
",",
"target",
"=",
"None",
")",
":",
"if",
"isinstance",
"(",
"sf",
",",
"dict",
")",
":",
"out",
"=",
"_tc",
".",
"SArray",
"(",
"[",
"sf",
"]",
")",
".",
"unpack",
"(",
"''",
")",
"elif",
"isinstance",... | Return an SFrame containing a bag of words representation of each column. | [
"Return",
"an",
"SFrame",
"containing",
"a",
"bag",
"of",
"words",
"representation",
"of",
"each",
"column",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/toolkits/text_classifier/_text_classifier.py#L18-L31 | train |
apple/turicreate | src/unity/python/turicreate/toolkits/text_classifier/_text_classifier.py | create | def create(dataset, target, features = None, drop_stop_words = True,
word_count_threshold = 2, method = 'auto', validation_set = 'auto',
max_iterations = 10):
"""
Create a model that trains a classifier to classify text from a
collection of documents. The model is a
:class:`~turicr... | python | def create(dataset, target, features = None, drop_stop_words = True,
word_count_threshold = 2, method = 'auto', validation_set = 'auto',
max_iterations = 10):
"""
Create a model that trains a classifier to classify text from a
collection of documents. The model is a
:class:`~turicr... | [
"def",
"create",
"(",
"dataset",
",",
"target",
",",
"features",
"=",
"None",
",",
"drop_stop_words",
"=",
"True",
",",
"word_count_threshold",
"=",
"2",
",",
"method",
"=",
"'auto'",
",",
"validation_set",
"=",
"'auto'",
",",
"max_iterations",
"=",
"10",
... | Create a model that trains a classifier to classify text from a
collection of documents. The model is a
:class:`~turicreate.logistic_classifier.LogisticClassifier` model trained
using a bag-of-words representation of the text dataset.
Parameters
----------
dataset : SFrame
Contains one or... | [
"Create",
"a",
"model",
"that",
"trains",
"a",
"classifier",
"to",
"classify",
"text",
"from",
"a",
"collection",
"of",
"documents",
".",
"The",
"model",
"is",
"a",
":",
"class",
":",
"~turicreate",
".",
"logistic_classifier",
".",
"LogisticClassifier",
"model... | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/toolkits/text_classifier/_text_classifier.py#L33-L151 | train |
apple/turicreate | src/unity/python/turicreate/toolkits/text_classifier/_text_classifier.py | _get_str_columns | def _get_str_columns(sf):
"""
Returns a list of names of columns that are string type.
"""
return [name for name in sf.column_names() if sf[name].dtype == str] | python | def _get_str_columns(sf):
"""
Returns a list of names of columns that are string type.
"""
return [name for name in sf.column_names() if sf[name].dtype == str] | [
"def",
"_get_str_columns",
"(",
"sf",
")",
":",
"return",
"[",
"name",
"for",
"name",
"in",
"sf",
".",
"column_names",
"(",
")",
"if",
"sf",
"[",
"name",
"]",
".",
"dtype",
"==",
"str",
"]"
] | Returns a list of names of columns that are string type. | [
"Returns",
"a",
"list",
"of",
"names",
"of",
"columns",
"that",
"are",
"string",
"type",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/toolkits/text_classifier/_text_classifier.py#L372-L376 | train |
apple/turicreate | src/unity/python/turicreate/toolkits/text_classifier/_text_classifier.py | TextClassifier.predict | def predict(self, dataset, output_type='class'):
"""
Return predictions for ``dataset``, using the trained model.
Parameters
----------
dataset : SFrame
dataset of new observations. Must include columns with the same
names as the features used for model t... | python | def predict(self, dataset, output_type='class'):
"""
Return predictions for ``dataset``, using the trained model.
Parameters
----------
dataset : SFrame
dataset of new observations. Must include columns with the same
names as the features used for model t... | [
"def",
"predict",
"(",
"self",
",",
"dataset",
",",
"output_type",
"=",
"'class'",
")",
":",
"m",
"=",
"self",
".",
"__proxy__",
"[",
"'classifier'",
"]",
"target",
"=",
"self",
".",
"__proxy__",
"[",
"'target'",
"]",
"f",
"=",
"_BOW_FEATURE_EXTRACTOR",
... | Return predictions for ``dataset``, using the trained model.
Parameters
----------
dataset : SFrame
dataset of new observations. Must include columns with the same
names as the features used for model training, but does not require
a target column. Additional... | [
"Return",
"predictions",
"for",
"dataset",
"using",
"the",
"trained",
"model",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/toolkits/text_classifier/_text_classifier.py#L182-L224 | train |
apple/turicreate | src/unity/python/turicreate/toolkits/text_classifier/_text_classifier.py | TextClassifier.classify | def classify(self, dataset):
"""
Return a classification, for each example in the ``dataset``, using the
trained model. The output SFrame contains predictions as both class
labels as well as probabilities that the predicted value is the
associated label.
Parameters
... | python | def classify(self, dataset):
"""
Return a classification, for each example in the ``dataset``, using the
trained model. The output SFrame contains predictions as both class
labels as well as probabilities that the predicted value is the
associated label.
Parameters
... | [
"def",
"classify",
"(",
"self",
",",
"dataset",
")",
":",
"m",
"=",
"self",
".",
"__proxy__",
"[",
"'classifier'",
"]",
"target",
"=",
"self",
".",
"__proxy__",
"[",
"'target'",
"]",
"f",
"=",
"_BOW_FEATURE_EXTRACTOR",
"return",
"m",
".",
"classify",
"("... | Return a classification, for each example in the ``dataset``, using the
trained model. The output SFrame contains predictions as both class
labels as well as probabilities that the predicted value is the
associated label.
Parameters
----------
dataset : SFrame
... | [
"Return",
"a",
"classification",
"for",
"each",
"example",
"in",
"the",
"dataset",
"using",
"the",
"trained",
"model",
".",
"The",
"output",
"SFrame",
"contains",
"predictions",
"as",
"both",
"class",
"labels",
"as",
"well",
"as",
"probabilities",
"that",
"the... | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/toolkits/text_classifier/_text_classifier.py#L226-L260 | train |
apple/turicreate | src/unity/python/turicreate/toolkits/text_classifier/_text_classifier.py | TextClassifier.evaluate | def evaluate(self, dataset, metric='auto', **kwargs):
"""
Evaluate the model by making predictions of target values and comparing
these to actual values.
Parameters
----------
dataset : SFrame
An SFrame having the same feature columns as provided when creatin... | python | def evaluate(self, dataset, metric='auto', **kwargs):
"""
Evaluate the model by making predictions of target values and comparing
these to actual values.
Parameters
----------
dataset : SFrame
An SFrame having the same feature columns as provided when creatin... | [
"def",
"evaluate",
"(",
"self",
",",
"dataset",
",",
"metric",
"=",
"'auto'",
",",
"*",
"*",
"kwargs",
")",
":",
"m",
"=",
"self",
".",
"__proxy__",
"[",
"'classifier'",
"]",
"target",
"=",
"self",
".",
"__proxy__",
"[",
"'target'",
"]",
"f",
"=",
... | Evaluate the model by making predictions of target values and comparing
these to actual values.
Parameters
----------
dataset : SFrame
An SFrame having the same feature columns as provided when creating
the model.
metric : str, optional
Name ... | [
"Evaluate",
"the",
"model",
"by",
"making",
"predictions",
"of",
"target",
"values",
"and",
"comparing",
"these",
"to",
"actual",
"values",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/toolkits/text_classifier/_text_classifier.py#L289-L332 | train |
apple/turicreate | src/external/coremltools_wrap/coremltools/coremltools/converters/sklearn/_SVR.py | _generate_base_svm_regression_spec | def _generate_base_svm_regression_spec(model):
"""
Takes an SVM regression model produces a starting spec using the parts.
that are shared between all SVMs.
"""
if not(_HAS_SKLEARN):
raise RuntimeError('scikit-learn not found. scikit-learn conversion API is disabled.')
spec = _Model_pb... | python | def _generate_base_svm_regression_spec(model):
"""
Takes an SVM regression model produces a starting spec using the parts.
that are shared between all SVMs.
"""
if not(_HAS_SKLEARN):
raise RuntimeError('scikit-learn not found. scikit-learn conversion API is disabled.')
spec = _Model_pb... | [
"def",
"_generate_base_svm_regression_spec",
"(",
"model",
")",
":",
"if",
"not",
"(",
"_HAS_SKLEARN",
")",
":",
"raise",
"RuntimeError",
"(",
"'scikit-learn not found. scikit-learn conversion API is disabled.'",
")",
"spec",
"=",
"_Model_pb2",
".",
"Model",
"(",
")",
... | Takes an SVM regression model produces a starting spec using the parts.
that are shared between all SVMs. | [
"Takes",
"an",
"SVM",
"regression",
"model",
"produces",
"a",
"starting",
"spec",
"using",
"the",
"parts",
".",
"that",
"are",
"shared",
"between",
"all",
"SVMs",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/external/coremltools_wrap/coremltools/coremltools/converters/sklearn/_SVR.py#L23-L46 | train |
apple/turicreate | src/external/coremltools_wrap/coremltools/coremltools/converters/sklearn/_SVR.py | convert | def convert(model, features, target):
"""Convert a Support Vector Regressor (SVR) model to the protobuf spec.
Parameters
----------
model: SVR
A trained SVR encoder model.
feature_names: [str]
Name of the input columns.
target: str
Name of the output column.
Return... | python | def convert(model, features, target):
"""Convert a Support Vector Regressor (SVR) model to the protobuf spec.
Parameters
----------
model: SVR
A trained SVR encoder model.
feature_names: [str]
Name of the input columns.
target: str
Name of the output column.
Return... | [
"def",
"convert",
"(",
"model",
",",
"features",
",",
"target",
")",
":",
"spec",
"=",
"_generate_base_svm_regression_spec",
"(",
"model",
")",
"spec",
"=",
"set_regressor_interface_params",
"(",
"spec",
",",
"features",
",",
"target",
")",
"return",
"_MLModel",... | Convert a Support Vector Regressor (SVR) model to the protobuf spec.
Parameters
----------
model: SVR
A trained SVR encoder model.
feature_names: [str]
Name of the input columns.
target: str
Name of the output column.
Returns
-------
model_spec: An object of ty... | [
"Convert",
"a",
"Support",
"Vector",
"Regressor",
"(",
"SVR",
")",
"model",
"to",
"the",
"protobuf",
"spec",
".",
"Parameters",
"----------",
"model",
":",
"SVR",
"A",
"trained",
"SVR",
"encoder",
"model",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/external/coremltools_wrap/coremltools/coremltools/converters/sklearn/_SVR.py#L48-L68 | train |
apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py | _VerifyExtensionHandle | def _VerifyExtensionHandle(message, extension_handle):
"""Verify that the given extension handle is valid."""
if not isinstance(extension_handle, _FieldDescriptor):
raise KeyError('HasExtension() expects an extension handle, got: %s' %
extension_handle)
if not extension_handle.is_extensio... | python | def _VerifyExtensionHandle(message, extension_handle):
"""Verify that the given extension handle is valid."""
if not isinstance(extension_handle, _FieldDescriptor):
raise KeyError('HasExtension() expects an extension handle, got: %s' %
extension_handle)
if not extension_handle.is_extensio... | [
"def",
"_VerifyExtensionHandle",
"(",
"message",
",",
"extension_handle",
")",
":",
"if",
"not",
"isinstance",
"(",
"extension_handle",
",",
"_FieldDescriptor",
")",
":",
"raise",
"KeyError",
"(",
"'HasExtension() expects an extension handle, got: %s'",
"%",
"extension_ha... | Verify that the given extension handle is valid. | [
"Verify",
"that",
"the",
"given",
"extension",
"handle",
"is",
"valid",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py#L213-L232 | train |
apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py | _AddEnumValues | def _AddEnumValues(descriptor, cls):
"""Sets class-level attributes for all enum fields defined in this message.
Also exporting a class-level object that can name enum values.
Args:
descriptor: Descriptor object for this message type.
cls: Class we're constructing for this message type.
"""
for enum... | python | def _AddEnumValues(descriptor, cls):
"""Sets class-level attributes for all enum fields defined in this message.
Also exporting a class-level object that can name enum values.
Args:
descriptor: Descriptor object for this message type.
cls: Class we're constructing for this message type.
"""
for enum... | [
"def",
"_AddEnumValues",
"(",
"descriptor",
",",
"cls",
")",
":",
"for",
"enum_type",
"in",
"descriptor",
".",
"enum_types",
":",
"setattr",
"(",
"cls",
",",
"enum_type",
".",
"name",
",",
"enum_type_wrapper",
".",
"EnumTypeWrapper",
"(",
"enum_type",
")",
"... | Sets class-level attributes for all enum fields defined in this message.
Also exporting a class-level object that can name enum values.
Args:
descriptor: Descriptor object for this message type.
cls: Class we're constructing for this message type. | [
"Sets",
"class",
"-",
"level",
"attributes",
"for",
"all",
"enum",
"fields",
"defined",
"in",
"this",
"message",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py#L347-L359 | train |
apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py | _DefaultValueConstructorForField | def _DefaultValueConstructorForField(field):
"""Returns a function which returns a default value for a field.
Args:
field: FieldDescriptor object for this field.
The returned function has one argument:
message: Message instance containing this field, or a weakref proxy
of same.
That function in... | python | def _DefaultValueConstructorForField(field):
"""Returns a function which returns a default value for a field.
Args:
field: FieldDescriptor object for this field.
The returned function has one argument:
message: Message instance containing this field, or a weakref proxy
of same.
That function in... | [
"def",
"_DefaultValueConstructorForField",
"(",
"field",
")",
":",
"if",
"_IsMapField",
"(",
"field",
")",
":",
"return",
"_GetInitializeDefaultForMap",
"(",
"field",
")",
"if",
"field",
".",
"label",
"==",
"_FieldDescriptor",
".",
"LABEL_REPEATED",
":",
"if",
"... | Returns a function which returns a default value for a field.
Args:
field: FieldDescriptor object for this field.
The returned function has one argument:
message: Message instance containing this field, or a weakref proxy
of same.
That function in turn returns a default value for this field. The... | [
"Returns",
"a",
"function",
"which",
"returns",
"a",
"default",
"value",
"for",
"a",
"field",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py#L384-L436 | train |
apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py | _ReraiseTypeErrorWithFieldName | def _ReraiseTypeErrorWithFieldName(message_name, field_name):
"""Re-raise the currently-handled TypeError with the field name added."""
exc = sys.exc_info()[1]
if len(exc.args) == 1 and type(exc) is TypeError:
# simple TypeError; add field name to exception message
exc = TypeError('%s for field %s.%s' % (... | python | def _ReraiseTypeErrorWithFieldName(message_name, field_name):
"""Re-raise the currently-handled TypeError with the field name added."""
exc = sys.exc_info()[1]
if len(exc.args) == 1 and type(exc) is TypeError:
# simple TypeError; add field name to exception message
exc = TypeError('%s for field %s.%s' % (... | [
"def",
"_ReraiseTypeErrorWithFieldName",
"(",
"message_name",
",",
"field_name",
")",
":",
"exc",
"=",
"sys",
".",
"exc_info",
"(",
")",
"[",
"1",
"]",
"if",
"len",
"(",
"exc",
".",
"args",
")",
"==",
"1",
"and",
"type",
"(",
"exc",
")",
"is",
"TypeE... | Re-raise the currently-handled TypeError with the field name added. | [
"Re",
"-",
"raise",
"the",
"currently",
"-",
"handled",
"TypeError",
"with",
"the",
"field",
"name",
"added",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py#L439-L447 | train |
apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py | _AddInitMethod | def _AddInitMethod(message_descriptor, cls):
"""Adds an __init__ method to cls."""
def _GetIntegerEnumValue(enum_type, value):
"""Convert a string or integer enum value to an integer.
If the value is a string, it is converted to the enum value in
enum_type with the same name. If the value is not a st... | python | def _AddInitMethod(message_descriptor, cls):
"""Adds an __init__ method to cls."""
def _GetIntegerEnumValue(enum_type, value):
"""Convert a string or integer enum value to an integer.
If the value is a string, it is converted to the enum value in
enum_type with the same name. If the value is not a st... | [
"def",
"_AddInitMethod",
"(",
"message_descriptor",
",",
"cls",
")",
":",
"def",
"_GetIntegerEnumValue",
"(",
"enum_type",
",",
"value",
")",
":",
"\"\"\"Convert a string or integer enum value to an integer.\n\n If the value is a string, it is converted to the enum value in\n e... | Adds an __init__ method to cls. | [
"Adds",
"an",
"__init__",
"method",
"to",
"cls",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py#L450-L531 | train |
apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py | _GetFieldByName | def _GetFieldByName(message_descriptor, field_name):
"""Returns a field descriptor by field name.
Args:
message_descriptor: A Descriptor describing all fields in message.
field_name: The name of the field to retrieve.
Returns:
The field descriptor associated with the field name.
"""
try:
retu... | python | def _GetFieldByName(message_descriptor, field_name):
"""Returns a field descriptor by field name.
Args:
message_descriptor: A Descriptor describing all fields in message.
field_name: The name of the field to retrieve.
Returns:
The field descriptor associated with the field name.
"""
try:
retu... | [
"def",
"_GetFieldByName",
"(",
"message_descriptor",
",",
"field_name",
")",
":",
"try",
":",
"return",
"message_descriptor",
".",
"fields_by_name",
"[",
"field_name",
"]",
"except",
"KeyError",
":",
"raise",
"ValueError",
"(",
"'Protocol message %s has no \"%s\" field.... | Returns a field descriptor by field name.
Args:
message_descriptor: A Descriptor describing all fields in message.
field_name: The name of the field to retrieve.
Returns:
The field descriptor associated with the field name. | [
"Returns",
"a",
"field",
"descriptor",
"by",
"field",
"name",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py#L534-L547 | train |
apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py | _AddPropertiesForFields | def _AddPropertiesForFields(descriptor, cls):
"""Adds properties for all fields in this protocol message type."""
for field in descriptor.fields:
_AddPropertiesForField(field, cls)
if descriptor.is_extendable:
# _ExtensionDict is just an adaptor with no state so we allocate a new one
# every time it ... | python | def _AddPropertiesForFields(descriptor, cls):
"""Adds properties for all fields in this protocol message type."""
for field in descriptor.fields:
_AddPropertiesForField(field, cls)
if descriptor.is_extendable:
# _ExtensionDict is just an adaptor with no state so we allocate a new one
# every time it ... | [
"def",
"_AddPropertiesForFields",
"(",
"descriptor",
",",
"cls",
")",
":",
"for",
"field",
"in",
"descriptor",
".",
"fields",
":",
"_AddPropertiesForField",
"(",
"field",
",",
"cls",
")",
"if",
"descriptor",
".",
"is_extendable",
":",
"# _ExtensionDict is just an ... | Adds properties for all fields in this protocol message type. | [
"Adds",
"properties",
"for",
"all",
"fields",
"in",
"this",
"protocol",
"message",
"type",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py#L550-L558 | train |
apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py | _AddPropertiesForField | def _AddPropertiesForField(field, cls):
"""Adds a public property for a protocol message field.
Clients can use this property to get and (in the case
of non-repeated scalar fields) directly set the value
of a protocol message field.
Args:
field: A FieldDescriptor for this field.
cls: The class we're ... | python | def _AddPropertiesForField(field, cls):
"""Adds a public property for a protocol message field.
Clients can use this property to get and (in the case
of non-repeated scalar fields) directly set the value
of a protocol message field.
Args:
field: A FieldDescriptor for this field.
cls: The class we're ... | [
"def",
"_AddPropertiesForField",
"(",
"field",
",",
"cls",
")",
":",
"# Catch it if we add other types that we should",
"# handle specially here.",
"assert",
"_FieldDescriptor",
".",
"MAX_CPPTYPE",
"==",
"10",
"constant_name",
"=",
"field",
".",
"name",
".",
"upper",
"(... | Adds a public property for a protocol message field.
Clients can use this property to get and (in the case
of non-repeated scalar fields) directly set the value
of a protocol message field.
Args:
field: A FieldDescriptor for this field.
cls: The class we're constructing. | [
"Adds",
"a",
"public",
"property",
"for",
"a",
"protocol",
"message",
"field",
".",
"Clients",
"can",
"use",
"this",
"property",
"to",
"get",
"and",
"(",
"in",
"the",
"case",
"of",
"non",
"-",
"repeated",
"scalar",
"fields",
")",
"directly",
"set",
"the"... | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py#L561-L583 | train |
apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py | _AddPropertiesForRepeatedField | def _AddPropertiesForRepeatedField(field, cls):
"""Adds a public property for a "repeated" protocol message field. Clients
can use this property to get the value of the field, which will be either a
_RepeatedScalarFieldContainer or _RepeatedCompositeFieldContainer (see
below).
Note that when clients add val... | python | def _AddPropertiesForRepeatedField(field, cls):
"""Adds a public property for a "repeated" protocol message field. Clients
can use this property to get the value of the field, which will be either a
_RepeatedScalarFieldContainer or _RepeatedCompositeFieldContainer (see
below).
Note that when clients add val... | [
"def",
"_AddPropertiesForRepeatedField",
"(",
"field",
",",
"cls",
")",
":",
"proto_field_name",
"=",
"field",
".",
"name",
"property_name",
"=",
"_PropertyName",
"(",
"proto_field_name",
")",
"def",
"getter",
"(",
"self",
")",
":",
"field_value",
"=",
"self",
... | Adds a public property for a "repeated" protocol message field. Clients
can use this property to get the value of the field, which will be either a
_RepeatedScalarFieldContainer or _RepeatedCompositeFieldContainer (see
below).
Note that when clients add values to these containers, we perform
type-checking i... | [
"Adds",
"a",
"public",
"property",
"for",
"a",
"repeated",
"protocol",
"message",
"field",
".",
"Clients",
"can",
"use",
"this",
"property",
"to",
"get",
"the",
"value",
"of",
"the",
"field",
"which",
"will",
"be",
"either",
"a",
"_RepeatedScalarFieldContainer... | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py#L586-L627 | train |
apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py | _AddPropertiesForNonRepeatedScalarField | def _AddPropertiesForNonRepeatedScalarField(field, cls):
"""Adds a public property for a nonrepeated, scalar protocol message field.
Clients can use this property to get and directly set the value of the field.
Note that when the client sets the value of a field by using this property,
all necessary "has" bits ... | python | def _AddPropertiesForNonRepeatedScalarField(field, cls):
"""Adds a public property for a nonrepeated, scalar protocol message field.
Clients can use this property to get and directly set the value of the field.
Note that when the client sets the value of a field by using this property,
all necessary "has" bits ... | [
"def",
"_AddPropertiesForNonRepeatedScalarField",
"(",
"field",
",",
"cls",
")",
":",
"proto_field_name",
"=",
"field",
".",
"name",
"property_name",
"=",
"_PropertyName",
"(",
"proto_field_name",
")",
"type_checker",
"=",
"type_checkers",
".",
"GetTypeChecker",
"(",
... | Adds a public property for a nonrepeated, scalar protocol message field.
Clients can use this property to get and directly set the value of the field.
Note that when the client sets the value of a field by using this property,
all necessary "has" bits are set as a side-effect, and we also perform
type-checking.... | [
"Adds",
"a",
"public",
"property",
"for",
"a",
"nonrepeated",
"scalar",
"protocol",
"message",
"field",
".",
"Clients",
"can",
"use",
"this",
"property",
"to",
"get",
"and",
"directly",
"set",
"the",
"value",
"of",
"the",
"field",
".",
"Note",
"that",
"whe... | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py#L630-L683 | train |
apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py | _AddPropertiesForExtensions | def _AddPropertiesForExtensions(descriptor, cls):
"""Adds properties for all fields in this protocol message type."""
extension_dict = descriptor.extensions_by_name
for extension_name, extension_field in extension_dict.items():
constant_name = extension_name.upper() + "_FIELD_NUMBER"
setattr(cls, constant... | python | def _AddPropertiesForExtensions(descriptor, cls):
"""Adds properties for all fields in this protocol message type."""
extension_dict = descriptor.extensions_by_name
for extension_name, extension_field in extension_dict.items():
constant_name = extension_name.upper() + "_FIELD_NUMBER"
setattr(cls, constant... | [
"def",
"_AddPropertiesForExtensions",
"(",
"descriptor",
",",
"cls",
")",
":",
"extension_dict",
"=",
"descriptor",
".",
"extensions_by_name",
"for",
"extension_name",
",",
"extension_field",
"in",
"extension_dict",
".",
"items",
"(",
")",
":",
"constant_name",
"=",... | Adds properties for all fields in this protocol message type. | [
"Adds",
"properties",
"for",
"all",
"fields",
"in",
"this",
"protocol",
"message",
"type",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py#L730-L743 | train |
apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py | _IsPresent | def _IsPresent(item):
"""Given a (FieldDescriptor, value) tuple from _fields, return true if the
value should be included in the list returned by ListFields()."""
if item[0].label == _FieldDescriptor.LABEL_REPEATED:
return bool(item[1])
elif item[0].cpp_type == _FieldDescriptor.CPPTYPE_MESSAGE:
return ... | python | def _IsPresent(item):
"""Given a (FieldDescriptor, value) tuple from _fields, return true if the
value should be included in the list returned by ListFields()."""
if item[0].label == _FieldDescriptor.LABEL_REPEATED:
return bool(item[1])
elif item[0].cpp_type == _FieldDescriptor.CPPTYPE_MESSAGE:
return ... | [
"def",
"_IsPresent",
"(",
"item",
")",
":",
"if",
"item",
"[",
"0",
"]",
".",
"label",
"==",
"_FieldDescriptor",
".",
"LABEL_REPEATED",
":",
"return",
"bool",
"(",
"item",
"[",
"1",
"]",
")",
"elif",
"item",
"[",
"0",
"]",
".",
"cpp_type",
"==",
"_... | Given a (FieldDescriptor, value) tuple from _fields, return true if the
value should be included in the list returned by ListFields(). | [
"Given",
"a",
"(",
"FieldDescriptor",
"value",
")",
"tuple",
"from",
"_fields",
"return",
"true",
"if",
"the",
"value",
"should",
"be",
"included",
"in",
"the",
"list",
"returned",
"by",
"ListFields",
"()",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py#L761-L770 | train |
apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py | _AddListFieldsMethod | def _AddListFieldsMethod(message_descriptor, cls):
"""Helper for _AddMessageMethods()."""
def ListFields(self):
all_fields = [item for item in self._fields.items() if _IsPresent(item)]
all_fields.sort(key = lambda item: item[0].number)
return all_fields
cls.ListFields = ListFields | python | def _AddListFieldsMethod(message_descriptor, cls):
"""Helper for _AddMessageMethods()."""
def ListFields(self):
all_fields = [item for item in self._fields.items() if _IsPresent(item)]
all_fields.sort(key = lambda item: item[0].number)
return all_fields
cls.ListFields = ListFields | [
"def",
"_AddListFieldsMethod",
"(",
"message_descriptor",
",",
"cls",
")",
":",
"def",
"ListFields",
"(",
"self",
")",
":",
"all_fields",
"=",
"[",
"item",
"for",
"item",
"in",
"self",
".",
"_fields",
".",
"items",
"(",
")",
"if",
"_IsPresent",
"(",
"ite... | Helper for _AddMessageMethods(). | [
"Helper",
"for",
"_AddMessageMethods",
"()",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py#L773-L781 | train |
apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py | _AddHasFieldMethod | def _AddHasFieldMethod(message_descriptor, cls):
"""Helper for _AddMessageMethods()."""
is_proto3 = (message_descriptor.syntax == "proto3")
error_msg = _Proto3HasError if is_proto3 else _Proto2HasError
hassable_fields = {}
for field in message_descriptor.fields:
if field.label == _FieldDescriptor.LABEL_... | python | def _AddHasFieldMethod(message_descriptor, cls):
"""Helper for _AddMessageMethods()."""
is_proto3 = (message_descriptor.syntax == "proto3")
error_msg = _Proto3HasError if is_proto3 else _Proto2HasError
hassable_fields = {}
for field in message_descriptor.fields:
if field.label == _FieldDescriptor.LABEL_... | [
"def",
"_AddHasFieldMethod",
"(",
"message_descriptor",
",",
"cls",
")",
":",
"is_proto3",
"=",
"(",
"message_descriptor",
".",
"syntax",
"==",
"\"proto3\"",
")",
"error_msg",
"=",
"_Proto3HasError",
"if",
"is_proto3",
"else",
"_Proto2HasError",
"hassable_fields",
"... | Helper for _AddMessageMethods(). | [
"Helper",
"for",
"_AddMessageMethods",
"()",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py#L786-L825 | train |
apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py | _AddClearFieldMethod | def _AddClearFieldMethod(message_descriptor, cls):
"""Helper for _AddMessageMethods()."""
def ClearField(self, field_name):
try:
field = message_descriptor.fields_by_name[field_name]
except KeyError:
try:
field = message_descriptor.oneofs_by_name[field_name]
if field in self._one... | python | def _AddClearFieldMethod(message_descriptor, cls):
"""Helper for _AddMessageMethods()."""
def ClearField(self, field_name):
try:
field = message_descriptor.fields_by_name[field_name]
except KeyError:
try:
field = message_descriptor.oneofs_by_name[field_name]
if field in self._one... | [
"def",
"_AddClearFieldMethod",
"(",
"message_descriptor",
",",
"cls",
")",
":",
"def",
"ClearField",
"(",
"self",
",",
"field_name",
")",
":",
"try",
":",
"field",
"=",
"message_descriptor",
".",
"fields_by_name",
"[",
"field_name",
"]",
"except",
"KeyError",
... | Helper for _AddMessageMethods(). | [
"Helper",
"for",
"_AddMessageMethods",
"()",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py#L828-L863 | train |
apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py | _AddClearExtensionMethod | def _AddClearExtensionMethod(cls):
"""Helper for _AddMessageMethods()."""
def ClearExtension(self, extension_handle):
_VerifyExtensionHandle(self, extension_handle)
# Similar to ClearField(), above.
if extension_handle in self._fields:
del self._fields[extension_handle]
self._Modified()
cls... | python | def _AddClearExtensionMethod(cls):
"""Helper for _AddMessageMethods()."""
def ClearExtension(self, extension_handle):
_VerifyExtensionHandle(self, extension_handle)
# Similar to ClearField(), above.
if extension_handle in self._fields:
del self._fields[extension_handle]
self._Modified()
cls... | [
"def",
"_AddClearExtensionMethod",
"(",
"cls",
")",
":",
"def",
"ClearExtension",
"(",
"self",
",",
"extension_handle",
")",
":",
"_VerifyExtensionHandle",
"(",
"self",
",",
"extension_handle",
")",
"# Similar to ClearField(), above.",
"if",
"extension_handle",
"in",
... | Helper for _AddMessageMethods(). | [
"Helper",
"for",
"_AddMessageMethods",
"()",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py#L866-L875 | train |
apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py | _AddHasExtensionMethod | def _AddHasExtensionMethod(cls):
"""Helper for _AddMessageMethods()."""
def HasExtension(self, extension_handle):
_VerifyExtensionHandle(self, extension_handle)
if extension_handle.label == _FieldDescriptor.LABEL_REPEATED:
raise KeyError('"%s" is repeated.' % extension_handle.full_name)
if extens... | python | def _AddHasExtensionMethod(cls):
"""Helper for _AddMessageMethods()."""
def HasExtension(self, extension_handle):
_VerifyExtensionHandle(self, extension_handle)
if extension_handle.label == _FieldDescriptor.LABEL_REPEATED:
raise KeyError('"%s" is repeated.' % extension_handle.full_name)
if extens... | [
"def",
"_AddHasExtensionMethod",
"(",
"cls",
")",
":",
"def",
"HasExtension",
"(",
"self",
",",
"extension_handle",
")",
":",
"_VerifyExtensionHandle",
"(",
"self",
",",
"extension_handle",
")",
"if",
"extension_handle",
".",
"label",
"==",
"_FieldDescriptor",
"."... | Helper for _AddMessageMethods(). | [
"Helper",
"for",
"_AddMessageMethods",
"()",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py#L878-L890 | train |
apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py | _InternalUnpackAny | def _InternalUnpackAny(msg):
"""Unpacks Any message and returns the unpacked message.
This internal method is different from public Any Unpack method which takes
the target message as argument. _InternalUnpackAny method does not have
target message type and need to find the message type in descriptor pool.
... | python | def _InternalUnpackAny(msg):
"""Unpacks Any message and returns the unpacked message.
This internal method is different from public Any Unpack method which takes
the target message as argument. _InternalUnpackAny method does not have
target message type and need to find the message type in descriptor pool.
... | [
"def",
"_InternalUnpackAny",
"(",
"msg",
")",
":",
"# TODO(amauryfa): Don't use the factory of generated messages.",
"# To make Any work with custom factories, use the message factory of the",
"# parent message.",
"# pylint: disable=g-import-not-at-top",
"from",
"google",
".",
"protobuf",
... | Unpacks Any message and returns the unpacked message.
This internal method is different from public Any Unpack method which takes
the target message as argument. _InternalUnpackAny method does not have
target message type and need to find the message type in descriptor pool.
Args:
msg: An Any message to b... | [
"Unpacks",
"Any",
"message",
"and",
"returns",
"the",
"unpacked",
"message",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py#L892-L929 | train |
apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py | _AddEqualsMethod | def _AddEqualsMethod(message_descriptor, cls):
"""Helper for _AddMessageMethods()."""
def __eq__(self, other):
if (not isinstance(other, message_mod.Message) or
other.DESCRIPTOR != self.DESCRIPTOR):
return False
if self is other:
return True
if self.DESCRIPTOR.full_name == _AnyFull... | python | def _AddEqualsMethod(message_descriptor, cls):
"""Helper for _AddMessageMethods()."""
def __eq__(self, other):
if (not isinstance(other, message_mod.Message) or
other.DESCRIPTOR != self.DESCRIPTOR):
return False
if self is other:
return True
if self.DESCRIPTOR.full_name == _AnyFull... | [
"def",
"_AddEqualsMethod",
"(",
"message_descriptor",
",",
"cls",
")",
":",
"def",
"__eq__",
"(",
"self",
",",
"other",
")",
":",
"if",
"(",
"not",
"isinstance",
"(",
"other",
",",
"message_mod",
".",
"Message",
")",
"or",
"other",
".",
"DESCRIPTOR",
"!=... | Helper for _AddMessageMethods(). | [
"Helper",
"for",
"_AddMessageMethods",
"()",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py#L932-L959 | train |
apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py | _AddStrMethod | def _AddStrMethod(message_descriptor, cls):
"""Helper for _AddMessageMethods()."""
def __str__(self):
return text_format.MessageToString(self)
cls.__str__ = __str__ | python | def _AddStrMethod(message_descriptor, cls):
"""Helper for _AddMessageMethods()."""
def __str__(self):
return text_format.MessageToString(self)
cls.__str__ = __str__ | [
"def",
"_AddStrMethod",
"(",
"message_descriptor",
",",
"cls",
")",
":",
"def",
"__str__",
"(",
"self",
")",
":",
"return",
"text_format",
".",
"MessageToString",
"(",
"self",
")",
"cls",
".",
"__str__",
"=",
"__str__"
] | Helper for _AddMessageMethods(). | [
"Helper",
"for",
"_AddMessageMethods",
"()",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py#L962-L966 | train |
apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py | _AddReprMethod | def _AddReprMethod(message_descriptor, cls):
"""Helper for _AddMessageMethods()."""
def __repr__(self):
return text_format.MessageToString(self)
cls.__repr__ = __repr__ | python | def _AddReprMethod(message_descriptor, cls):
"""Helper for _AddMessageMethods()."""
def __repr__(self):
return text_format.MessageToString(self)
cls.__repr__ = __repr__ | [
"def",
"_AddReprMethod",
"(",
"message_descriptor",
",",
"cls",
")",
":",
"def",
"__repr__",
"(",
"self",
")",
":",
"return",
"text_format",
".",
"MessageToString",
"(",
"self",
")",
"cls",
".",
"__repr__",
"=",
"__repr__"
] | Helper for _AddMessageMethods(). | [
"Helper",
"for",
"_AddMessageMethods",
"()",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py#L969-L973 | train |
apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py | _AddUnicodeMethod | def _AddUnicodeMethod(unused_message_descriptor, cls):
"""Helper for _AddMessageMethods()."""
def __unicode__(self):
return text_format.MessageToString(self, as_utf8=True).decode('utf-8')
cls.__unicode__ = __unicode__ | python | def _AddUnicodeMethod(unused_message_descriptor, cls):
"""Helper for _AddMessageMethods()."""
def __unicode__(self):
return text_format.MessageToString(self, as_utf8=True).decode('utf-8')
cls.__unicode__ = __unicode__ | [
"def",
"_AddUnicodeMethod",
"(",
"unused_message_descriptor",
",",
"cls",
")",
":",
"def",
"__unicode__",
"(",
"self",
")",
":",
"return",
"text_format",
".",
"MessageToString",
"(",
"self",
",",
"as_utf8",
"=",
"True",
")",
".",
"decode",
"(",
"'utf-8'",
")... | Helper for _AddMessageMethods(). | [
"Helper",
"for",
"_AddMessageMethods",
"()",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py#L976-L981 | train |
apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py | _BytesForNonRepeatedElement | def _BytesForNonRepeatedElement(value, field_number, field_type):
"""Returns the number of bytes needed to serialize a non-repeated element.
The returned byte count includes space for tag information and any
other additional space associated with serializing value.
Args:
value: Value we're serializing.
... | python | def _BytesForNonRepeatedElement(value, field_number, field_type):
"""Returns the number of bytes needed to serialize a non-repeated element.
The returned byte count includes space for tag information and any
other additional space associated with serializing value.
Args:
value: Value we're serializing.
... | [
"def",
"_BytesForNonRepeatedElement",
"(",
"value",
",",
"field_number",
",",
"field_type",
")",
":",
"try",
":",
"fn",
"=",
"type_checkers",
".",
"TYPE_TO_BYTE_SIZE_FN",
"[",
"field_type",
"]",
"return",
"fn",
"(",
"field_number",
",",
"value",
")",
"except",
... | Returns the number of bytes needed to serialize a non-repeated element.
The returned byte count includes space for tag information and any
other additional space associated with serializing value.
Args:
value: Value we're serializing.
field_number: Field number of this value. (Since the field number
... | [
"Returns",
"the",
"number",
"of",
"bytes",
"needed",
"to",
"serialize",
"a",
"non",
"-",
"repeated",
"element",
".",
"The",
"returned",
"byte",
"count",
"includes",
"space",
"for",
"tag",
"information",
"and",
"any",
"other",
"additional",
"space",
"associated... | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py#L984-L1001 | train |
apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py | _AddByteSizeMethod | def _AddByteSizeMethod(message_descriptor, cls):
"""Helper for _AddMessageMethods()."""
def ByteSize(self):
if not self._cached_byte_size_dirty:
return self._cached_byte_size
size = 0
for field_descriptor, field_value in self.ListFields():
size += field_descriptor._sizer(field_value)
... | python | def _AddByteSizeMethod(message_descriptor, cls):
"""Helper for _AddMessageMethods()."""
def ByteSize(self):
if not self._cached_byte_size_dirty:
return self._cached_byte_size
size = 0
for field_descriptor, field_value in self.ListFields():
size += field_descriptor._sizer(field_value)
... | [
"def",
"_AddByteSizeMethod",
"(",
"message_descriptor",
",",
"cls",
")",
":",
"def",
"ByteSize",
"(",
"self",
")",
":",
"if",
"not",
"self",
".",
"_cached_byte_size_dirty",
":",
"return",
"self",
".",
"_cached_byte_size",
"size",
"=",
"0",
"for",
"field_descri... | Helper for _AddMessageMethods(). | [
"Helper",
"for",
"_AddMessageMethods",
"()",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py#L1004-L1023 | train |
apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py | _AddSerializeToStringMethod | def _AddSerializeToStringMethod(message_descriptor, cls):
"""Helper for _AddMessageMethods()."""
def SerializeToString(self):
# Check if the message has all of its required fields set.
errors = []
if not self.IsInitialized():
raise message_mod.EncodeError(
'Message %s is missing require... | python | def _AddSerializeToStringMethod(message_descriptor, cls):
"""Helper for _AddMessageMethods()."""
def SerializeToString(self):
# Check if the message has all of its required fields set.
errors = []
if not self.IsInitialized():
raise message_mod.EncodeError(
'Message %s is missing require... | [
"def",
"_AddSerializeToStringMethod",
"(",
"message_descriptor",
",",
"cls",
")",
":",
"def",
"SerializeToString",
"(",
"self",
")",
":",
"# Check if the message has all of its required fields set.",
"errors",
"=",
"[",
"]",
"if",
"not",
"self",
".",
"IsInitialized",
... | Helper for _AddMessageMethods(). | [
"Helper",
"for",
"_AddMessageMethods",
"()",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py#L1026-L1037 | train |
apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py | _AddSerializePartialToStringMethod | def _AddSerializePartialToStringMethod(message_descriptor, cls):
"""Helper for _AddMessageMethods()."""
def SerializePartialToString(self):
out = BytesIO()
self._InternalSerialize(out.write)
return out.getvalue()
cls.SerializePartialToString = SerializePartialToString
def InternalSerialize(self, w... | python | def _AddSerializePartialToStringMethod(message_descriptor, cls):
"""Helper for _AddMessageMethods()."""
def SerializePartialToString(self):
out = BytesIO()
self._InternalSerialize(out.write)
return out.getvalue()
cls.SerializePartialToString = SerializePartialToString
def InternalSerialize(self, w... | [
"def",
"_AddSerializePartialToStringMethod",
"(",
"message_descriptor",
",",
"cls",
")",
":",
"def",
"SerializePartialToString",
"(",
"self",
")",
":",
"out",
"=",
"BytesIO",
"(",
")",
"self",
".",
"_InternalSerialize",
"(",
"out",
".",
"write",
")",
"return",
... | Helper for _AddMessageMethods(). | [
"Helper",
"for",
"_AddMessageMethods",
"()",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py#L1040-L1055 | train |
apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py | _AddMergeFromStringMethod | def _AddMergeFromStringMethod(message_descriptor, cls):
"""Helper for _AddMessageMethods()."""
def MergeFromString(self, serialized):
length = len(serialized)
try:
if self._InternalParse(serialized, 0, length) != length:
# The only reason _InternalParse would return early is if it
# en... | python | def _AddMergeFromStringMethod(message_descriptor, cls):
"""Helper for _AddMessageMethods()."""
def MergeFromString(self, serialized):
length = len(serialized)
try:
if self._InternalParse(serialized, 0, length) != length:
# The only reason _InternalParse would return early is if it
# en... | [
"def",
"_AddMergeFromStringMethod",
"(",
"message_descriptor",
",",
"cls",
")",
":",
"def",
"MergeFromString",
"(",
"self",
",",
"serialized",
")",
":",
"length",
"=",
"len",
"(",
"serialized",
")",
"try",
":",
"if",
"self",
".",
"_InternalParse",
"(",
"seri... | Helper for _AddMessageMethods(). | [
"Helper",
"for",
"_AddMessageMethods",
"()",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py#L1058-L1103 | train |
apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py | _AddIsInitializedMethod | def _AddIsInitializedMethod(message_descriptor, cls):
"""Adds the IsInitialized and FindInitializationError methods to the
protocol message class."""
required_fields = [field for field in message_descriptor.fields
if field.label == _FieldDescriptor.LABEL_REQUIRED]
def IsInitialized(... | python | def _AddIsInitializedMethod(message_descriptor, cls):
"""Adds the IsInitialized and FindInitializationError methods to the
protocol message class."""
required_fields = [field for field in message_descriptor.fields
if field.label == _FieldDescriptor.LABEL_REQUIRED]
def IsInitialized(... | [
"def",
"_AddIsInitializedMethod",
"(",
"message_descriptor",
",",
"cls",
")",
":",
"required_fields",
"=",
"[",
"field",
"for",
"field",
"in",
"message_descriptor",
".",
"fields",
"if",
"field",
".",
"label",
"==",
"_FieldDescriptor",
".",
"LABEL_REQUIRED",
"]",
... | Adds the IsInitialized and FindInitializationError methods to the
protocol message class. | [
"Adds",
"the",
"IsInitialized",
"and",
"FindInitializationError",
"methods",
"to",
"the",
"protocol",
"message",
"class",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py#L1106-L1198 | train |
apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py | _AddMessageMethods | def _AddMessageMethods(message_descriptor, cls):
"""Adds implementations of all Message methods to cls."""
_AddListFieldsMethod(message_descriptor, cls)
_AddHasFieldMethod(message_descriptor, cls)
_AddClearFieldMethod(message_descriptor, cls)
if message_descriptor.is_extendable:
_AddClearExtensionMethod(c... | python | def _AddMessageMethods(message_descriptor, cls):
"""Adds implementations of all Message methods to cls."""
_AddListFieldsMethod(message_descriptor, cls)
_AddHasFieldMethod(message_descriptor, cls)
_AddClearFieldMethod(message_descriptor, cls)
if message_descriptor.is_extendable:
_AddClearExtensionMethod(c... | [
"def",
"_AddMessageMethods",
"(",
"message_descriptor",
",",
"cls",
")",
":",
"_AddListFieldsMethod",
"(",
"message_descriptor",
",",
"cls",
")",
"_AddHasFieldMethod",
"(",
"message_descriptor",
",",
"cls",
")",
"_AddClearFieldMethod",
"(",
"message_descriptor",
",",
... | Adds implementations of all Message methods to cls. | [
"Adds",
"implementations",
"of",
"all",
"Message",
"methods",
"to",
"cls",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py#L1295-L1318 | train |
apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py | _AddPrivateHelperMethods | def _AddPrivateHelperMethods(message_descriptor, cls):
"""Adds implementation of private helper methods to cls."""
def Modified(self):
"""Sets the _cached_byte_size_dirty bit to true,
and propagates this to our listener iff this was a state change.
"""
# Note: Some callers check _cached_byte_size... | python | def _AddPrivateHelperMethods(message_descriptor, cls):
"""Adds implementation of private helper methods to cls."""
def Modified(self):
"""Sets the _cached_byte_size_dirty bit to true,
and propagates this to our listener iff this was a state change.
"""
# Note: Some callers check _cached_byte_size... | [
"def",
"_AddPrivateHelperMethods",
"(",
"message_descriptor",
",",
"cls",
")",
":",
"def",
"Modified",
"(",
"self",
")",
":",
"\"\"\"Sets the _cached_byte_size_dirty bit to true,\n and propagates this to our listener iff this was a state change.\n \"\"\"",
"# Note: Some callers ... | Adds implementation of private helper methods to cls. | [
"Adds",
"implementation",
"of",
"private",
"helper",
"methods",
"to",
"cls",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py#L1321-L1352 | train |
apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py | _OneofListener.Modified | def Modified(self):
"""Also updates the state of the containing oneof in the parent message."""
try:
self._parent_message_weakref._UpdateOneofState(self._field)
super(_OneofListener, self).Modified()
except ReferenceError:
pass | python | def Modified(self):
"""Also updates the state of the containing oneof in the parent message."""
try:
self._parent_message_weakref._UpdateOneofState(self._field)
super(_OneofListener, self).Modified()
except ReferenceError:
pass | [
"def",
"Modified",
"(",
"self",
")",
":",
"try",
":",
"self",
".",
"_parent_message_weakref",
".",
"_UpdateOneofState",
"(",
"self",
".",
"_field",
")",
"super",
"(",
"_OneofListener",
",",
"self",
")",
".",
"Modified",
"(",
")",
"except",
"ReferenceError",
... | Also updates the state of the containing oneof in the parent message. | [
"Also",
"updates",
"the",
"state",
"of",
"the",
"containing",
"oneof",
"in",
"the",
"parent",
"message",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/python_message.py#L1413-L1419 | train |
apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/enum_type_wrapper.py | EnumTypeWrapper.Name | def Name(self, number):
"""Returns a string containing the name of an enum value."""
if number in self._enum_type.values_by_number:
return self._enum_type.values_by_number[number].name
raise ValueError('Enum %s has no name defined for value %d' % (
self._enum_type.name, number)) | python | def Name(self, number):
"""Returns a string containing the name of an enum value."""
if number in self._enum_type.values_by_number:
return self._enum_type.values_by_number[number].name
raise ValueError('Enum %s has no name defined for value %d' % (
self._enum_type.name, number)) | [
"def",
"Name",
"(",
"self",
",",
"number",
")",
":",
"if",
"number",
"in",
"self",
".",
"_enum_type",
".",
"values_by_number",
":",
"return",
"self",
".",
"_enum_type",
".",
"values_by_number",
"[",
"number",
"]",
".",
"name",
"raise",
"ValueError",
"(",
... | Returns a string containing the name of an enum value. | [
"Returns",
"a",
"string",
"containing",
"the",
"name",
"of",
"an",
"enum",
"value",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/enum_type_wrapper.py#L51-L56 | train |
apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/enum_type_wrapper.py | EnumTypeWrapper.Value | def Value(self, name):
"""Returns the value coresponding to the given enum name."""
if name in self._enum_type.values_by_name:
return self._enum_type.values_by_name[name].number
raise ValueError('Enum %s has no value defined for name %s' % (
self._enum_type.name, name)) | python | def Value(self, name):
"""Returns the value coresponding to the given enum name."""
if name in self._enum_type.values_by_name:
return self._enum_type.values_by_name[name].number
raise ValueError('Enum %s has no value defined for name %s' % (
self._enum_type.name, name)) | [
"def",
"Value",
"(",
"self",
",",
"name",
")",
":",
"if",
"name",
"in",
"self",
".",
"_enum_type",
".",
"values_by_name",
":",
"return",
"self",
".",
"_enum_type",
".",
"values_by_name",
"[",
"name",
"]",
".",
"number",
"raise",
"ValueError",
"(",
"'Enum... | Returns the value coresponding to the given enum name. | [
"Returns",
"the",
"value",
"coresponding",
"to",
"the",
"given",
"enum",
"name",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/enum_type_wrapper.py#L58-L63 | train |
apple/turicreate | src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/enum_type_wrapper.py | EnumTypeWrapper.items | def items(self):
"""Return a list of the (name, value) pairs of the enum.
These are returned in the order they were defined in the .proto file.
"""
return [(value_descriptor.name, value_descriptor.number)
for value_descriptor in self._enum_type.values] | python | def items(self):
"""Return a list of the (name, value) pairs of the enum.
These are returned in the order they were defined in the .proto file.
"""
return [(value_descriptor.name, value_descriptor.number)
for value_descriptor in self._enum_type.values] | [
"def",
"items",
"(",
"self",
")",
":",
"return",
"[",
"(",
"value_descriptor",
".",
"name",
",",
"value_descriptor",
".",
"number",
")",
"for",
"value_descriptor",
"in",
"self",
".",
"_enum_type",
".",
"values",
"]"
] | Return a list of the (name, value) pairs of the enum.
These are returned in the order they were defined in the .proto file. | [
"Return",
"a",
"list",
"of",
"the",
"(",
"name",
"value",
")",
"pairs",
"of",
"the",
"enum",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/external/coremltools_wrap/coremltools/deps/protobuf/python/google/protobuf/internal/enum_type_wrapper.py#L83-L89 | train |
apple/turicreate | src/unity/python/turicreate/toolkits/_mps_utils.py | _load_tcmps_lib | def _load_tcmps_lib():
"""
Load global singleton of tcmps lib handler.
This function is used not used at the top level, so
that the shared library is loaded lazily only when needed.
"""
global _g_TCMPS_LIB
if _g_TCMPS_LIB is None:
# This library requires macOS 10.14 or above
... | python | def _load_tcmps_lib():
"""
Load global singleton of tcmps lib handler.
This function is used not used at the top level, so
that the shared library is loaded lazily only when needed.
"""
global _g_TCMPS_LIB
if _g_TCMPS_LIB is None:
# This library requires macOS 10.14 or above
... | [
"def",
"_load_tcmps_lib",
"(",
")",
":",
"global",
"_g_TCMPS_LIB",
"if",
"_g_TCMPS_LIB",
"is",
"None",
":",
"# This library requires macOS 10.14 or above",
"if",
"_mac_ver",
"(",
")",
"<",
"(",
"10",
",",
"14",
")",
":",
"return",
"None",
"# The symbols defined in... | Load global singleton of tcmps lib handler.
This function is used not used at the top level, so
that the shared library is loaded lazily only when needed. | [
"Load",
"global",
"singleton",
"of",
"tcmps",
"lib",
"handler",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/toolkits/_mps_utils.py#L141-L164 | train |
apple/turicreate | src/unity/python/turicreate/toolkits/_mps_utils.py | has_fast_mps_support | def has_fast_mps_support():
"""
Returns True if the environment has MPS backend support
and a high-power (fast) device is available.
"""
lib = _load_tcmps_lib()
if lib is None:
return False
c_bool = _ctypes.c_bool()
ret = lib.TCMPSHasHighPowerMetalDevice(_ctypes.byref(c_bool))
... | python | def has_fast_mps_support():
"""
Returns True if the environment has MPS backend support
and a high-power (fast) device is available.
"""
lib = _load_tcmps_lib()
if lib is None:
return False
c_bool = _ctypes.c_bool()
ret = lib.TCMPSHasHighPowerMetalDevice(_ctypes.byref(c_bool))
... | [
"def",
"has_fast_mps_support",
"(",
")",
":",
"lib",
"=",
"_load_tcmps_lib",
"(",
")",
"if",
"lib",
"is",
"None",
":",
"return",
"False",
"c_bool",
"=",
"_ctypes",
".",
"c_bool",
"(",
")",
"ret",
"=",
"lib",
".",
"TCMPSHasHighPowerMetalDevice",
"(",
"_ctyp... | Returns True if the environment has MPS backend support
and a high-power (fast) device is available. | [
"Returns",
"True",
"if",
"the",
"environment",
"has",
"MPS",
"backend",
"support",
"and",
"a",
"high",
"-",
"power",
"(",
"fast",
")",
"device",
"is",
"available",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/toolkits/_mps_utils.py#L167-L178 | train |
apple/turicreate | src/unity/python/turicreate/toolkits/_mps_utils.py | mps_device_name | def mps_device_name():
"""
Returns name of MPS device that will be used, else None.
"""
lib = _load_tcmps_lib()
if lib is None:
return None
n = 256
c_name = (_ctypes.c_char * n)()
ret = lib.TCMPSMetalDeviceName(_ctypes.byref(c_name), _ctypes.c_int32(n))
if ret == 0:
... | python | def mps_device_name():
"""
Returns name of MPS device that will be used, else None.
"""
lib = _load_tcmps_lib()
if lib is None:
return None
n = 256
c_name = (_ctypes.c_char * n)()
ret = lib.TCMPSMetalDeviceName(_ctypes.byref(c_name), _ctypes.c_int32(n))
if ret == 0:
... | [
"def",
"mps_device_name",
"(",
")",
":",
"lib",
"=",
"_load_tcmps_lib",
"(",
")",
"if",
"lib",
"is",
"None",
":",
"return",
"None",
"n",
"=",
"256",
"c_name",
"=",
"(",
"_ctypes",
".",
"c_char",
"*",
"n",
")",
"(",
")",
"ret",
"=",
"lib",
".",
"T... | Returns name of MPS device that will be used, else None. | [
"Returns",
"name",
"of",
"MPS",
"device",
"that",
"will",
"be",
"used",
"else",
"None",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/toolkits/_mps_utils.py#L188-L202 | train |
apple/turicreate | src/unity/python/turicreate/toolkits/_mps_utils.py | mps_device_memory_limit | def mps_device_memory_limit():
"""
Returns the memory size in bytes that can be effectively allocated on the
MPS device that will be used, or None if no suitable device is available.
"""
lib = _load_tcmps_lib()
if lib is None:
return None
c_size = _ctypes.c_uint64()
ret = lib.TC... | python | def mps_device_memory_limit():
"""
Returns the memory size in bytes that can be effectively allocated on the
MPS device that will be used, or None if no suitable device is available.
"""
lib = _load_tcmps_lib()
if lib is None:
return None
c_size = _ctypes.c_uint64()
ret = lib.TC... | [
"def",
"mps_device_memory_limit",
"(",
")",
":",
"lib",
"=",
"_load_tcmps_lib",
"(",
")",
"if",
"lib",
"is",
"None",
":",
"return",
"None",
"c_size",
"=",
"_ctypes",
".",
"c_uint64",
"(",
")",
"ret",
"=",
"lib",
".",
"TCMPSMetalDeviceMemoryLimit",
"(",
"_c... | Returns the memory size in bytes that can be effectively allocated on the
MPS device that will be used, or None if no suitable device is available. | [
"Returns",
"the",
"memory",
"size",
"in",
"bytes",
"that",
"can",
"be",
"effectively",
"allocated",
"on",
"the",
"MPS",
"device",
"that",
"will",
"be",
"used",
"or",
"None",
"if",
"no",
"suitable",
"device",
"is",
"available",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/toolkits/_mps_utils.py#L205-L216 | train |
apple/turicreate | src/unity/python/turicreate/toolkits/_mps_utils.py | MpsFloatArray.shape | def shape(self):
"""Copy the shape from TCMPS as a new numpy ndarray."""
# Create C variables that will serve as out parameters for TCMPS.
shape_ptr = _ctypes.POINTER(_ctypes.c_size_t)() # size_t* shape_ptr
dim = _ctypes.c_size_t() # size_t dim
# Obtain... | python | def shape(self):
"""Copy the shape from TCMPS as a new numpy ndarray."""
# Create C variables that will serve as out parameters for TCMPS.
shape_ptr = _ctypes.POINTER(_ctypes.c_size_t)() # size_t* shape_ptr
dim = _ctypes.c_size_t() # size_t dim
# Obtain... | [
"def",
"shape",
"(",
"self",
")",
":",
"# Create C variables that will serve as out parameters for TCMPS.",
"shape_ptr",
"=",
"_ctypes",
".",
"POINTER",
"(",
"_ctypes",
".",
"c_size_t",
")",
"(",
")",
"# size_t* shape_ptr",
"dim",
"=",
"_ctypes",
".",
"c_size_t",
"(... | Copy the shape from TCMPS as a new numpy ndarray. | [
"Copy",
"the",
"shape",
"from",
"TCMPS",
"as",
"a",
"new",
"numpy",
"ndarray",
"."
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/toolkits/_mps_utils.py#L314-L326 | train |
apple/turicreate | src/unity/python/turicreate/toolkits/_mps_utils.py | MpsFloatArray.asnumpy | def asnumpy(self):
"""Copy the data from TCMPS into a new numpy ndarray"""
# Create C variables that will serve as out parameters for TCMPS.
data_ptr = _ctypes.POINTER(_ctypes.c_float)() # float* data_ptr
shape_ptr = _ctypes.POINTER(_ctypes.c_size_t)() # size_t* shape_ptr
di... | python | def asnumpy(self):
"""Copy the data from TCMPS into a new numpy ndarray"""
# Create C variables that will serve as out parameters for TCMPS.
data_ptr = _ctypes.POINTER(_ctypes.c_float)() # float* data_ptr
shape_ptr = _ctypes.POINTER(_ctypes.c_size_t)() # size_t* shape_ptr
di... | [
"def",
"asnumpy",
"(",
"self",
")",
":",
"# Create C variables that will serve as out parameters for TCMPS.",
"data_ptr",
"=",
"_ctypes",
".",
"POINTER",
"(",
"_ctypes",
".",
"c_float",
")",
"(",
")",
"# float* data_ptr",
"shape_ptr",
"=",
"_ctypes",
".",
"POINTER",
... | Copy the data from TCMPS into a new numpy ndarray | [
"Copy",
"the",
"data",
"from",
"TCMPS",
"into",
"a",
"new",
"numpy",
"ndarray"
] | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/toolkits/_mps_utils.py#L328-L344 | train |
apple/turicreate | src/unity/python/turicreate/toolkits/_mps_utils.py | MpsGraphAPI.train | def train(self, input, label):
"""
Submits an input batch to the model. Returns a MpsFloatArray
representing the batch loss. Calling asnumpy() on this value will wait
for the batch to finish and yield the loss as a numpy array.
"""
assert self._mode == MpsGraphMode.Train... | python | def train(self, input, label):
"""
Submits an input batch to the model. Returns a MpsFloatArray
representing the batch loss. Calling asnumpy() on this value will wait
for the batch to finish and yield the loss as a numpy array.
"""
assert self._mode == MpsGraphMode.Train... | [
"def",
"train",
"(",
"self",
",",
"input",
",",
"label",
")",
":",
"assert",
"self",
".",
"_mode",
"==",
"MpsGraphMode",
".",
"Train",
"assert",
"input",
".",
"shape",
"==",
"self",
".",
"_ishape",
"assert",
"label",
".",
"shape",
"==",
"self",
".",
... | Submits an input batch to the model. Returns a MpsFloatArray
representing the batch loss. Calling asnumpy() on this value will wait
for the batch to finish and yield the loss as a numpy array. | [
"Submits",
"an",
"input",
"batch",
"to",
"the",
"model",
".",
"Returns",
"a",
"MpsFloatArray",
"representing",
"the",
"batch",
"loss",
".",
"Calling",
"asnumpy",
"()",
"on",
"this",
"value",
"will",
"wait",
"for",
"the",
"batch",
"to",
"finish",
"and",
"yi... | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/toolkits/_mps_utils.py#L463-L490 | train |
apple/turicreate | src/unity/python/turicreate/toolkits/_mps_utils.py | MpsGraphAPI.predict | def predict(self, input):
"""
Submits an input batch to the model. Returns a MpsFloatArray
representing the model predictions. Calling asnumpy() on this value will
wait for the batch to finish and yield the predictions as a numpy array.
"""
assert self._mode == MpsGraphM... | python | def predict(self, input):
"""
Submits an input batch to the model. Returns a MpsFloatArray
representing the model predictions. Calling asnumpy() on this value will
wait for the batch to finish and yield the predictions as a numpy array.
"""
assert self._mode == MpsGraphM... | [
"def",
"predict",
"(",
"self",
",",
"input",
")",
":",
"assert",
"self",
".",
"_mode",
"==",
"MpsGraphMode",
".",
"Inference",
"assert",
"input",
".",
"shape",
"==",
"self",
".",
"_ishape",
"input_array",
"=",
"MpsFloatArray",
"(",
"input",
")",
"result_ha... | Submits an input batch to the model. Returns a MpsFloatArray
representing the model predictions. Calling asnumpy() on this value will
wait for the batch to finish and yield the predictions as a numpy array. | [
"Submits",
"an",
"input",
"batch",
"to",
"the",
"model",
".",
"Returns",
"a",
"MpsFloatArray",
"representing",
"the",
"model",
"predictions",
".",
"Calling",
"asnumpy",
"()",
"on",
"this",
"value",
"will",
"wait",
"for",
"the",
"batch",
"to",
"finish",
"and"... | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/toolkits/_mps_utils.py#L492-L513 | train |
apple/turicreate | src/unity/python/turicreate/toolkits/_mps_utils.py | MpsGraphAPI.train_return_grad | def train_return_grad(self, input, grad):
"""
Performs a forward pass from the input batch, followed by a backward
pass using the provided gradient (in place of a loss function). Returns
a MpsFloatArray representing the output (final gradient) of the backward
pass. Calling asnump... | python | def train_return_grad(self, input, grad):
"""
Performs a forward pass from the input batch, followed by a backward
pass using the provided gradient (in place of a loss function). Returns
a MpsFloatArray representing the output (final gradient) of the backward
pass. Calling asnump... | [
"def",
"train_return_grad",
"(",
"self",
",",
"input",
",",
"grad",
")",
":",
"assert",
"self",
".",
"_mode",
"==",
"MpsGraphMode",
".",
"TrainReturnGrad",
"assert",
"input",
".",
"shape",
"==",
"self",
".",
"_ishape",
"assert",
"grad",
".",
"shape",
"==",... | Performs a forward pass from the input batch, followed by a backward
pass using the provided gradient (in place of a loss function). Returns
a MpsFloatArray representing the output (final gradient) of the backward
pass. Calling asnumpy() on this value will wait for the batch to finish
an... | [
"Performs",
"a",
"forward",
"pass",
"from",
"the",
"input",
"batch",
"followed",
"by",
"a",
"backward",
"pass",
"using",
"the",
"provided",
"gradient",
"(",
"in",
"place",
"of",
"a",
"loss",
"function",
")",
".",
"Returns",
"a",
"MpsFloatArray",
"representin... | 74514c3f99e25b46f22c6e02977fe3da69221c2e | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/toolkits/_mps_utils.py#L515-L541 | train |
Miserlou/Zappa | zappa/asynchronous.py | route_sns_task | def route_sns_task(event, context):
"""
Gets SNS Message, deserialises the message,
imports the function, calls the function with args
"""
record = event['Records'][0]
message = json.loads(
record['Sns']['Message']
)
return run_message(message) | python | def route_sns_task(event, context):
"""
Gets SNS Message, deserialises the message,
imports the function, calls the function with args
"""
record = event['Records'][0]
message = json.loads(
record['Sns']['Message']
)
return run_message(message) | [
"def",
"route_sns_task",
"(",
"event",
",",
"context",
")",
":",
"record",
"=",
"event",
"[",
"'Records'",
"]",
"[",
"0",
"]",
"message",
"=",
"json",
".",
"loads",
"(",
"record",
"[",
"'Sns'",
"]",
"[",
"'Message'",
"]",
")",
"return",
"run_message",
... | Gets SNS Message, deserialises the message,
imports the function, calls the function with args | [
"Gets",
"SNS",
"Message",
"deserialises",
"the",
"message",
"imports",
"the",
"function",
"calls",
"the",
"function",
"with",
"args"
] | 3ccf7490a8d8b8fa74a61ee39bf44234f3567739 | https://github.com/Miserlou/Zappa/blob/3ccf7490a8d8b8fa74a61ee39bf44234f3567739/zappa/asynchronous.py#L275-L284 | train |
Miserlou/Zappa | zappa/asynchronous.py | run_message | def run_message(message):
"""
Runs a function defined by a message object with keys:
'task_path', 'args', and 'kwargs' used by lambda routing
and a 'command' in handler.py
"""
if message.get('capture_response', False):
DYNAMODB_CLIENT.put_item(
TableName=ASYNC_RESPONSE_TABLE,... | python | def run_message(message):
"""
Runs a function defined by a message object with keys:
'task_path', 'args', and 'kwargs' used by lambda routing
and a 'command' in handler.py
"""
if message.get('capture_response', False):
DYNAMODB_CLIENT.put_item(
TableName=ASYNC_RESPONSE_TABLE,... | [
"def",
"run_message",
"(",
"message",
")",
":",
"if",
"message",
".",
"get",
"(",
"'capture_response'",
",",
"False",
")",
":",
"DYNAMODB_CLIENT",
".",
"put_item",
"(",
"TableName",
"=",
"ASYNC_RESPONSE_TABLE",
",",
"Item",
"=",
"{",
"'id'",
":",
"{",
"'S'... | Runs a function defined by a message object with keys:
'task_path', 'args', and 'kwargs' used by lambda routing
and a 'command' in handler.py | [
"Runs",
"a",
"function",
"defined",
"by",
"a",
"message",
"object",
"with",
"keys",
":",
"task_path",
"args",
"and",
"kwargs",
"used",
"by",
"lambda",
"routing",
"and",
"a",
"command",
"in",
"handler",
".",
"py"
] | 3ccf7490a8d8b8fa74a61ee39bf44234f3567739 | https://github.com/Miserlou/Zappa/blob/3ccf7490a8d8b8fa74a61ee39bf44234f3567739/zappa/asynchronous.py#L287-L327 | train |
Miserlou/Zappa | zappa/asynchronous.py | run | def run(func, args=[], kwargs={}, service='lambda', capture_response=False,
remote_aws_lambda_function_name=None, remote_aws_region=None, **task_kwargs):
"""
Instead of decorating a function with @task, you can just run it directly.
If you were going to do func(*args, **kwargs), then you will call t... | python | def run(func, args=[], kwargs={}, service='lambda', capture_response=False,
remote_aws_lambda_function_name=None, remote_aws_region=None, **task_kwargs):
"""
Instead of decorating a function with @task, you can just run it directly.
If you were going to do func(*args, **kwargs), then you will call t... | [
"def",
"run",
"(",
"func",
",",
"args",
"=",
"[",
"]",
",",
"kwargs",
"=",
"{",
"}",
",",
"service",
"=",
"'lambda'",
",",
"capture_response",
"=",
"False",
",",
"remote_aws_lambda_function_name",
"=",
"None",
",",
"remote_aws_region",
"=",
"None",
",",
... | Instead of decorating a function with @task, you can just run it directly.
If you were going to do func(*args, **kwargs), then you will call this:
import zappa.asynchronous.run
zappa.asynchronous.run(func, args, kwargs)
If you want to use SNS, then do:
zappa.asynchronous.run(func, args, kwargs, s... | [
"Instead",
"of",
"decorating",
"a",
"function",
"with",
"@task",
"you",
"can",
"just",
"run",
"it",
"directly",
".",
"If",
"you",
"were",
"going",
"to",
"do",
"func",
"(",
"*",
"args",
"**",
"kwargs",
")",
"then",
"you",
"will",
"call",
"this",
":"
] | 3ccf7490a8d8b8fa74a61ee39bf44234f3567739 | https://github.com/Miserlou/Zappa/blob/3ccf7490a8d8b8fa74a61ee39bf44234f3567739/zappa/asynchronous.py#L334-L356 | train |
Miserlou/Zappa | zappa/asynchronous.py | task | def task(*args, **kwargs):
"""Async task decorator so that running
Args:
func (function): the function to be wrapped
Further requirements:
func must be an independent top-level function.
i.e. not a class method or an anonymous function
service (str): eit... | python | def task(*args, **kwargs):
"""Async task decorator so that running
Args:
func (function): the function to be wrapped
Further requirements:
func must be an independent top-level function.
i.e. not a class method or an anonymous function
service (str): eit... | [
"def",
"task",
"(",
"*",
"args",
",",
"*",
"*",
"kwargs",
")",
":",
"func",
"=",
"None",
"if",
"len",
"(",
"args",
")",
"==",
"1",
"and",
"callable",
"(",
"args",
"[",
"0",
"]",
")",
":",
"func",
"=",
"args",
"[",
"0",
"]",
"if",
"not",
"kw... | Async task decorator so that running
Args:
func (function): the function to be wrapped
Further requirements:
func must be an independent top-level function.
i.e. not a class method or an anonymous function
service (str): either 'lambda' or 'sns'
remo... | [
"Async",
"task",
"decorator",
"so",
"that",
"running"
] | 3ccf7490a8d8b8fa74a61ee39bf44234f3567739 | https://github.com/Miserlou/Zappa/blob/3ccf7490a8d8b8fa74a61ee39bf44234f3567739/zappa/asynchronous.py#L364-L439 | train |
Miserlou/Zappa | zappa/asynchronous.py | import_and_get_task | def import_and_get_task(task_path):
"""
Given a modular path to a function, import that module
and return the function.
"""
module, function = task_path.rsplit('.', 1)
app_module = importlib.import_module(module)
app_function = getattr(app_module, function)
return app_function | python | def import_and_get_task(task_path):
"""
Given a modular path to a function, import that module
and return the function.
"""
module, function = task_path.rsplit('.', 1)
app_module = importlib.import_module(module)
app_function = getattr(app_module, function)
return app_function | [
"def",
"import_and_get_task",
"(",
"task_path",
")",
":",
"module",
",",
"function",
"=",
"task_path",
".",
"rsplit",
"(",
"'.'",
",",
"1",
")",
"app_module",
"=",
"importlib",
".",
"import_module",
"(",
"module",
")",
"app_function",
"=",
"getattr",
"(",
... | Given a modular path to a function, import that module
and return the function. | [
"Given",
"a",
"modular",
"path",
"to",
"a",
"function",
"import",
"that",
"module",
"and",
"return",
"the",
"function",
"."
] | 3ccf7490a8d8b8fa74a61ee39bf44234f3567739 | https://github.com/Miserlou/Zappa/blob/3ccf7490a8d8b8fa74a61ee39bf44234f3567739/zappa/asynchronous.py#L453-L461 | train |
Miserlou/Zappa | zappa/asynchronous.py | get_func_task_path | def get_func_task_path(func):
"""
Format the modular task path for a function via inspection.
"""
module_path = inspect.getmodule(func).__name__
task_path = '{module_path}.{func_name}'.format(
module_path=module_path,
fu... | python | def get_func_task_path(func):
"""
Format the modular task path for a function via inspection.
"""
module_path = inspect.getmodule(func).__name__
task_path = '{module_path}.{func_name}'.format(
module_path=module_path,
fu... | [
"def",
"get_func_task_path",
"(",
"func",
")",
":",
"module_path",
"=",
"inspect",
".",
"getmodule",
"(",
"func",
")",
".",
"__name__",
"task_path",
"=",
"'{module_path}.{func_name}'",
".",
"format",
"(",
"module_path",
"=",
"module_path",
",",
"func_name",
"=",... | Format the modular task path for a function via inspection. | [
"Format",
"the",
"modular",
"task",
"path",
"for",
"a",
"function",
"via",
"inspection",
"."
] | 3ccf7490a8d8b8fa74a61ee39bf44234f3567739 | https://github.com/Miserlou/Zappa/blob/3ccf7490a8d8b8fa74a61ee39bf44234f3567739/zappa/asynchronous.py#L464-L473 | train |
Miserlou/Zappa | zappa/asynchronous.py | get_async_response | def get_async_response(response_id):
"""
Get the response from the async table
"""
response = DYNAMODB_CLIENT.get_item(
TableName=ASYNC_RESPONSE_TABLE,
Key={'id': {'S': str(response_id)}}
)
if 'Item' not in response:
return None
return {
'status': response['I... | python | def get_async_response(response_id):
"""
Get the response from the async table
"""
response = DYNAMODB_CLIENT.get_item(
TableName=ASYNC_RESPONSE_TABLE,
Key={'id': {'S': str(response_id)}}
)
if 'Item' not in response:
return None
return {
'status': response['I... | [
"def",
"get_async_response",
"(",
"response_id",
")",
":",
"response",
"=",
"DYNAMODB_CLIENT",
".",
"get_item",
"(",
"TableName",
"=",
"ASYNC_RESPONSE_TABLE",
",",
"Key",
"=",
"{",
"'id'",
":",
"{",
"'S'",
":",
"str",
"(",
"response_id",
")",
"}",
"}",
")"... | Get the response from the async table | [
"Get",
"the",
"response",
"from",
"the",
"async",
"table"
] | 3ccf7490a8d8b8fa74a61ee39bf44234f3567739 | https://github.com/Miserlou/Zappa/blob/3ccf7490a8d8b8fa74a61ee39bf44234f3567739/zappa/asynchronous.py#L476-L490 | train |
Miserlou/Zappa | zappa/asynchronous.py | LambdaAsyncResponse.send | def send(self, task_path, args, kwargs):
"""
Create the message object and pass it to the actual sender.
"""
message = {
'task_path': task_path,
'capture_response': self.capture_response,
'response_id': self.response_id,
'ar... | python | def send(self, task_path, args, kwargs):
"""
Create the message object and pass it to the actual sender.
"""
message = {
'task_path': task_path,
'capture_response': self.capture_response,
'response_id': self.response_id,
'ar... | [
"def",
"send",
"(",
"self",
",",
"task_path",
",",
"args",
",",
"kwargs",
")",
":",
"message",
"=",
"{",
"'task_path'",
":",
"task_path",
",",
"'capture_response'",
":",
"self",
".",
"capture_response",
",",
"'response_id'",
":",
"self",
".",
"response_id",
... | Create the message object and pass it to the actual sender. | [
"Create",
"the",
"message",
"object",
"and",
"pass",
"it",
"to",
"the",
"actual",
"sender",
"."
] | 3ccf7490a8d8b8fa74a61ee39bf44234f3567739 | https://github.com/Miserlou/Zappa/blob/3ccf7490a8d8b8fa74a61ee39bf44234f3567739/zappa/asynchronous.py#L162-L174 | train |
Miserlou/Zappa | zappa/asynchronous.py | LambdaAsyncResponse._send | def _send(self, message):
"""
Given a message, directly invoke the lamdba function for this task.
"""
message['command'] = 'zappa.asynchronous.route_lambda_task'
payload = json.dumps(message).encode('utf-8')
if len(payload) > LAMBDA_ASYNC_PAYLOAD_LIMIT: # pragma: no cover... | python | def _send(self, message):
"""
Given a message, directly invoke the lamdba function for this task.
"""
message['command'] = 'zappa.asynchronous.route_lambda_task'
payload = json.dumps(message).encode('utf-8')
if len(payload) > LAMBDA_ASYNC_PAYLOAD_LIMIT: # pragma: no cover... | [
"def",
"_send",
"(",
"self",
",",
"message",
")",
":",
"message",
"[",
"'command'",
"]",
"=",
"'zappa.asynchronous.route_lambda_task'",
"payload",
"=",
"json",
".",
"dumps",
"(",
"message",
")",
".",
"encode",
"(",
"'utf-8'",
")",
"if",
"len",
"(",
"payloa... | Given a message, directly invoke the lamdba function for this task. | [
"Given",
"a",
"message",
"directly",
"invoke",
"the",
"lamdba",
"function",
"for",
"this",
"task",
"."
] | 3ccf7490a8d8b8fa74a61ee39bf44234f3567739 | https://github.com/Miserlou/Zappa/blob/3ccf7490a8d8b8fa74a61ee39bf44234f3567739/zappa/asynchronous.py#L176-L189 | train |
Miserlou/Zappa | zappa/asynchronous.py | SnsAsyncResponse._send | def _send(self, message):
"""
Given a message, publish to this topic.
"""
message['command'] = 'zappa.asynchronous.route_sns_task'
payload = json.dumps(message).encode('utf-8')
if len(payload) > LAMBDA_ASYNC_PAYLOAD_LIMIT: # pragma: no cover
raise AsyncExcepti... | python | def _send(self, message):
"""
Given a message, publish to this topic.
"""
message['command'] = 'zappa.asynchronous.route_sns_task'
payload = json.dumps(message).encode('utf-8')
if len(payload) > LAMBDA_ASYNC_PAYLOAD_LIMIT: # pragma: no cover
raise AsyncExcepti... | [
"def",
"_send",
"(",
"self",
",",
"message",
")",
":",
"message",
"[",
"'command'",
"]",
"=",
"'zappa.asynchronous.route_sns_task'",
"payload",
"=",
"json",
".",
"dumps",
"(",
"message",
")",
".",
"encode",
"(",
"'utf-8'",
")",
"if",
"len",
"(",
"payload",... | Given a message, publish to this topic. | [
"Given",
"a",
"message",
"publish",
"to",
"this",
"topic",
"."
] | 3ccf7490a8d8b8fa74a61ee39bf44234f3567739 | https://github.com/Miserlou/Zappa/blob/3ccf7490a8d8b8fa74a61ee39bf44234f3567739/zappa/asynchronous.py#L242-L254 | train |
Miserlou/Zappa | zappa/utilities.py | parse_s3_url | def parse_s3_url(url):
"""
Parses S3 URL.
Returns bucket (domain) and file (full path).
"""
bucket = ''
path = ''
if url:
result = urlparse(url)
bucket = result.netloc
path = result.path.strip('/')
return bucket, path | python | def parse_s3_url(url):
"""
Parses S3 URL.
Returns bucket (domain) and file (full path).
"""
bucket = ''
path = ''
if url:
result = urlparse(url)
bucket = result.netloc
path = result.path.strip('/')
return bucket, path | [
"def",
"parse_s3_url",
"(",
"url",
")",
":",
"bucket",
"=",
"''",
"path",
"=",
"''",
"if",
"url",
":",
"result",
"=",
"urlparse",
"(",
"url",
")",
"bucket",
"=",
"result",
".",
"netloc",
"path",
"=",
"result",
".",
"path",
".",
"strip",
"(",
"'/'",... | Parses S3 URL.
Returns bucket (domain) and file (full path). | [
"Parses",
"S3",
"URL",
"."
] | 3ccf7490a8d8b8fa74a61ee39bf44234f3567739 | https://github.com/Miserlou/Zappa/blob/3ccf7490a8d8b8fa74a61ee39bf44234f3567739/zappa/utilities.py#L67-L79 | train |
Miserlou/Zappa | zappa/utilities.py | string_to_timestamp | def string_to_timestamp(timestring):
"""
Accepts a str, returns an int timestamp.
"""
ts = None
# Uses an extended version of Go's duration string.
try:
delta = durationpy.from_str(timestring);
past = datetime.datetime.utcnow() - delta
ts = calendar.timegm(past.timetupl... | python | def string_to_timestamp(timestring):
"""
Accepts a str, returns an int timestamp.
"""
ts = None
# Uses an extended version of Go's duration string.
try:
delta = durationpy.from_str(timestring);
past = datetime.datetime.utcnow() - delta
ts = calendar.timegm(past.timetupl... | [
"def",
"string_to_timestamp",
"(",
"timestring",
")",
":",
"ts",
"=",
"None",
"# Uses an extended version of Go's duration string.",
"try",
":",
"delta",
"=",
"durationpy",
".",
"from_str",
"(",
"timestring",
")",
"past",
"=",
"datetime",
".",
"datetime",
".",
"ut... | Accepts a str, returns an int timestamp. | [
"Accepts",
"a",
"str",
"returns",
"an",
"int",
"timestamp",
"."
] | 3ccf7490a8d8b8fa74a61ee39bf44234f3567739 | https://github.com/Miserlou/Zappa/blob/3ccf7490a8d8b8fa74a61ee39bf44234f3567739/zappa/utilities.py#L91-L111 | train |
Miserlou/Zappa | zappa/utilities.py | detect_django_settings | def detect_django_settings():
"""
Automatically try to discover Django settings files,
return them as relative module paths.
"""
matches = []
for root, dirnames, filenames in os.walk(os.getcwd()):
for filename in fnmatch.filter(filenames, '*settings.py'):
full = os.path.join... | python | def detect_django_settings():
"""
Automatically try to discover Django settings files,
return them as relative module paths.
"""
matches = []
for root, dirnames, filenames in os.walk(os.getcwd()):
for filename in fnmatch.filter(filenames, '*settings.py'):
full = os.path.join... | [
"def",
"detect_django_settings",
"(",
")",
":",
"matches",
"=",
"[",
"]",
"for",
"root",
",",
"dirnames",
",",
"filenames",
"in",
"os",
".",
"walk",
"(",
"os",
".",
"getcwd",
"(",
")",
")",
":",
"for",
"filename",
"in",
"fnmatch",
".",
"filter",
"(",... | Automatically try to discover Django settings files,
return them as relative module paths. | [
"Automatically",
"try",
"to",
"discover",
"Django",
"settings",
"files",
"return",
"them",
"as",
"relative",
"module",
"paths",
"."
] | 3ccf7490a8d8b8fa74a61ee39bf44234f3567739 | https://github.com/Miserlou/Zappa/blob/3ccf7490a8d8b8fa74a61ee39bf44234f3567739/zappa/utilities.py#L117-L134 | train |
Miserlou/Zappa | zappa/utilities.py | detect_flask_apps | def detect_flask_apps():
"""
Automatically try to discover Flask apps files,
return them as relative module paths.
"""
matches = []
for root, dirnames, filenames in os.walk(os.getcwd()):
for filename in fnmatch.filter(filenames, '*.py'):
full = os.path.join(root, filename)
... | python | def detect_flask_apps():
"""
Automatically try to discover Flask apps files,
return them as relative module paths.
"""
matches = []
for root, dirnames, filenames in os.walk(os.getcwd()):
for filename in fnmatch.filter(filenames, '*.py'):
full = os.path.join(root, filename)
... | [
"def",
"detect_flask_apps",
"(",
")",
":",
"matches",
"=",
"[",
"]",
"for",
"root",
",",
"dirnames",
",",
"filenames",
"in",
"os",
".",
"walk",
"(",
"os",
".",
"getcwd",
"(",
")",
")",
":",
"for",
"filename",
"in",
"fnmatch",
".",
"filter",
"(",
"f... | Automatically try to discover Flask apps files,
return them as relative module paths. | [
"Automatically",
"try",
"to",
"discover",
"Flask",
"apps",
"files",
"return",
"them",
"as",
"relative",
"module",
"paths",
"."
] | 3ccf7490a8d8b8fa74a61ee39bf44234f3567739 | https://github.com/Miserlou/Zappa/blob/3ccf7490a8d8b8fa74a61ee39bf44234f3567739/zappa/utilities.py#L136-L171 | train |
Miserlou/Zappa | zappa/utilities.py | add_event_source | def add_event_source(event_source, lambda_arn, target_function, boto_session, dry=False):
"""
Given an event_source dictionary, create the object and add the event source.
"""
event_source_obj, ctx, funk = get_event_source(event_source, lambda_arn, target_function, boto_session, dry=False)
# TODO: ... | python | def add_event_source(event_source, lambda_arn, target_function, boto_session, dry=False):
"""
Given an event_source dictionary, create the object and add the event source.
"""
event_source_obj, ctx, funk = get_event_source(event_source, lambda_arn, target_function, boto_session, dry=False)
# TODO: ... | [
"def",
"add_event_source",
"(",
"event_source",
",",
"lambda_arn",
",",
"target_function",
",",
"boto_session",
",",
"dry",
"=",
"False",
")",
":",
"event_source_obj",
",",
"ctx",
",",
"funk",
"=",
"get_event_source",
"(",
"event_source",
",",
"lambda_arn",
",",... | Given an event_source dictionary, create the object and add the event source. | [
"Given",
"an",
"event_source",
"dictionary",
"create",
"the",
"object",
"and",
"add",
"the",
"event",
"source",
"."
] | 3ccf7490a8d8b8fa74a61ee39bf44234f3567739 | https://github.com/Miserlou/Zappa/blob/3ccf7490a8d8b8fa74a61ee39bf44234f3567739/zappa/utilities.py#L399-L413 | train |
Miserlou/Zappa | zappa/utilities.py | remove_event_source | def remove_event_source(event_source, lambda_arn, target_function, boto_session, dry=False):
"""
Given an event_source dictionary, create the object and remove the event source.
"""
event_source_obj, ctx, funk = get_event_source(event_source, lambda_arn, target_function, boto_session, dry=False)
#... | python | def remove_event_source(event_source, lambda_arn, target_function, boto_session, dry=False):
"""
Given an event_source dictionary, create the object and remove the event source.
"""
event_source_obj, ctx, funk = get_event_source(event_source, lambda_arn, target_function, boto_session, dry=False)
#... | [
"def",
"remove_event_source",
"(",
"event_source",
",",
"lambda_arn",
",",
"target_function",
",",
"boto_session",
",",
"dry",
"=",
"False",
")",
":",
"event_source_obj",
",",
"ctx",
",",
"funk",
"=",
"get_event_source",
"(",
"event_source",
",",
"lambda_arn",
"... | Given an event_source dictionary, create the object and remove the event source. | [
"Given",
"an",
"event_source",
"dictionary",
"create",
"the",
"object",
"and",
"remove",
"the",
"event",
"source",
"."
] | 3ccf7490a8d8b8fa74a61ee39bf44234f3567739 | https://github.com/Miserlou/Zappa/blob/3ccf7490a8d8b8fa74a61ee39bf44234f3567739/zappa/utilities.py#L415-L428 | train |
Miserlou/Zappa | zappa/utilities.py | get_event_source_status | def get_event_source_status(event_source, lambda_arn, target_function, boto_session, dry=False):
"""
Given an event_source dictionary, create the object and get the event source status.
"""
event_source_obj, ctx, funk = get_event_source(event_source, lambda_arn, target_function, boto_session, dry=False... | python | def get_event_source_status(event_source, lambda_arn, target_function, boto_session, dry=False):
"""
Given an event_source dictionary, create the object and get the event source status.
"""
event_source_obj, ctx, funk = get_event_source(event_source, lambda_arn, target_function, boto_session, dry=False... | [
"def",
"get_event_source_status",
"(",
"event_source",
",",
"lambda_arn",
",",
"target_function",
",",
"boto_session",
",",
"dry",
"=",
"False",
")",
":",
"event_source_obj",
",",
"ctx",
",",
"funk",
"=",
"get_event_source",
"(",
"event_source",
",",
"lambda_arn",... | Given an event_source dictionary, create the object and get the event source status. | [
"Given",
"an",
"event_source",
"dictionary",
"create",
"the",
"object",
"and",
"get",
"the",
"event",
"source",
"status",
"."
] | 3ccf7490a8d8b8fa74a61ee39bf44234f3567739 | https://github.com/Miserlou/Zappa/blob/3ccf7490a8d8b8fa74a61ee39bf44234f3567739/zappa/utilities.py#L430-L436 | train |
Miserlou/Zappa | zappa/utilities.py | check_new_version_available | def check_new_version_available(this_version):
"""
Checks if a newer version of Zappa is available.
Returns True is updateable, else False.
"""
import requests
pypi_url = 'https://pypi.python.org/pypi/Zappa/json'
resp = requests.get(pypi_url, timeout=1.5)
top_version = resp.json()['in... | python | def check_new_version_available(this_version):
"""
Checks if a newer version of Zappa is available.
Returns True is updateable, else False.
"""
import requests
pypi_url = 'https://pypi.python.org/pypi/Zappa/json'
resp = requests.get(pypi_url, timeout=1.5)
top_version = resp.json()['in... | [
"def",
"check_new_version_available",
"(",
"this_version",
")",
":",
"import",
"requests",
"pypi_url",
"=",
"'https://pypi.python.org/pypi/Zappa/json'",
"resp",
"=",
"requests",
".",
"get",
"(",
"pypi_url",
",",
"timeout",
"=",
"1.5",
")",
"top_version",
"=",
"resp"... | Checks if a newer version of Zappa is available.
Returns True is updateable, else False. | [
"Checks",
"if",
"a",
"newer",
"version",
"of",
"Zappa",
"is",
"available",
"."
] | 3ccf7490a8d8b8fa74a61ee39bf44234f3567739 | https://github.com/Miserlou/Zappa/blob/3ccf7490a8d8b8fa74a61ee39bf44234f3567739/zappa/utilities.py#L442-L455 | train |
Miserlou/Zappa | zappa/utilities.py | validate_name | def validate_name(name, maxlen=80):
"""Validate name for AWS Lambda function.
name: actual name (without `arn:aws:lambda:...:` prefix and without
`:$LATEST`, alias or version suffix.
maxlen: max allowed length for name without prefix and suffix.
The value 80 was calculated from prefix with long... | python | def validate_name(name, maxlen=80):
"""Validate name for AWS Lambda function.
name: actual name (without `arn:aws:lambda:...:` prefix and without
`:$LATEST`, alias or version suffix.
maxlen: max allowed length for name without prefix and suffix.
The value 80 was calculated from prefix with long... | [
"def",
"validate_name",
"(",
"name",
",",
"maxlen",
"=",
"80",
")",
":",
"if",
"not",
"isinstance",
"(",
"name",
",",
"basestring",
")",
":",
"msg",
"=",
"\"Name must be of type string\"",
"raise",
"InvalidAwsLambdaName",
"(",
"msg",
")",
"if",
"len",
"(",
... | Validate name for AWS Lambda function.
name: actual name (without `arn:aws:lambda:...:` prefix and without
`:$LATEST`, alias or version suffix.
maxlen: max allowed length for name without prefix and suffix.
The value 80 was calculated from prefix with longest known region name
and assuming that... | [
"Validate",
"name",
"for",
"AWS",
"Lambda",
"function",
".",
"name",
":",
"actual",
"name",
"(",
"without",
"arn",
":",
"aws",
":",
"lambda",
":",
"...",
":",
"prefix",
"and",
"without",
":",
"$LATEST",
"alias",
"or",
"version",
"suffix",
".",
"maxlen",
... | 3ccf7490a8d8b8fa74a61ee39bf44234f3567739 | https://github.com/Miserlou/Zappa/blob/3ccf7490a8d8b8fa74a61ee39bf44234f3567739/zappa/utilities.py#L463-L490 | train |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.