nwo stringlengths 5 86 | sha stringlengths 40 40 | path stringlengths 4 189 | language stringclasses 1
value | identifier stringlengths 1 94 | parameters stringlengths 2 4.03k | argument_list stringclasses 1
value | return_statement stringlengths 0 11.5k | docstring stringlengths 1 33.2k | docstring_summary stringlengths 0 5.15k | docstring_tokens list | function stringlengths 34 151k | function_tokens list | url stringlengths 90 278 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
alibaba/weex_js_engine | 2bdf4b6f020c1fc99c63f649718f6faf7e27fdde | jni/v8core/v8/build/gyp/pylib/gyp/generator/make.py | python | MakefileWriter.WriteAndroidNdkModuleRule | (self, module_name, all_sources, link_deps) | Write a set of LOCAL_XXX definitions for Android NDK.
These variable definitions will be used by Android NDK but do nothing for
non-Android applications.
Arguments:
module_name: Android NDK module name, which must be unique among all
module names.
all_sources: A list of source files ... | Write a set of LOCAL_XXX definitions for Android NDK. | [
"Write",
"a",
"set",
"of",
"LOCAL_XXX",
"definitions",
"for",
"Android",
"NDK",
"."
] | def WriteAndroidNdkModuleRule(self, module_name, all_sources, link_deps):
"""Write a set of LOCAL_XXX definitions for Android NDK.
These variable definitions will be used by Android NDK but do nothing for
non-Android applications.
Arguments:
module_name: Android NDK module name, which must be un... | [
"def",
"WriteAndroidNdkModuleRule",
"(",
"self",
",",
"module_name",
",",
"all_sources",
",",
"link_deps",
")",
":",
"if",
"self",
".",
"type",
"not",
"in",
"(",
"'executable'",
",",
"'shared_library'",
",",
"'static_library'",
")",
":",
"return",
"self",
".",... | https://github.com/alibaba/weex_js_engine/blob/2bdf4b6f020c1fc99c63f649718f6faf7e27fdde/jni/v8core/v8/build/gyp/pylib/gyp/generator/make.py#L1714-L1794 | ||
materialx/MaterialX | 77ff72f352470b5c76dddde765951a8e3bcf79fc | python/MaterialX/main.py | python | _setValue | (self, value, typeString = '') | Set the typed value of an element. | Set the typed value of an element. | [
"Set",
"the",
"typed",
"value",
"of",
"an",
"element",
"."
] | def _setValue(self, value, typeString = ''):
"Set the typed value of an element."
method = getattr(self.__class__, "_setValue" + getTypeString(value))
method(self, value, typeString) | [
"def",
"_setValue",
"(",
"self",
",",
"value",
",",
"typeString",
"=",
"''",
")",
":",
"method",
"=",
"getattr",
"(",
"self",
".",
"__class__",
",",
"\"_setValue\"",
"+",
"getTypeString",
"(",
"value",
")",
")",
"method",
"(",
"self",
",",
"value",
","... | https://github.com/materialx/MaterialX/blob/77ff72f352470b5c76dddde765951a8e3bcf79fc/python/MaterialX/main.py#L67-L70 | ||
wxWidgets/wxPython-Classic | 19571e1ae65f1ac445f5491474121998c97a1bf0 | wx/tools/Editra/src/ed_tab.py | python | EdTabBase.DoTabClosing | (self) | Called when the tab has been selected to be closed in the notebook | Called when the tab has been selected to be closed in the notebook | [
"Called",
"when",
"the",
"tab",
"has",
"been",
"selected",
"to",
"be",
"closed",
"in",
"the",
"notebook"
] | def DoTabClosing(self):
"""Called when the tab has been selected to be closed in the notebook"""
pass | [
"def",
"DoTabClosing",
"(",
"self",
")",
":",
"pass"
] | https://github.com/wxWidgets/wxPython-Classic/blob/19571e1ae65f1ac445f5491474121998c97a1bf0/wx/tools/Editra/src/ed_tab.py#L59-L61 | ||
oracle/graaljs | 36a56e8e993d45fc40939a3a4d9c0c24990720f1 | graal-nodejs/deps/npm/node_modules/node-gyp/gyp/pylib/gyp/MSVSUserFile.py | python | Writer.WriteIfChanged | (self) | Writes the user file. | Writes the user file. | [
"Writes",
"the",
"user",
"file",
"."
] | def WriteIfChanged(self):
"""Writes the user file."""
configs = ["Configurations"]
for config, spec in sorted(self.configurations.items()):
configs.append(spec)
content = [
"VisualStudioUserFile",
{"Version": self.version.ProjectVersion(), "Name": sel... | [
"def",
"WriteIfChanged",
"(",
"self",
")",
":",
"configs",
"=",
"[",
"\"Configurations\"",
"]",
"for",
"config",
",",
"spec",
"in",
"sorted",
"(",
"self",
".",
"configurations",
".",
"items",
"(",
")",
")",
":",
"configs",
".",
"append",
"(",
"spec",
"... | https://github.com/oracle/graaljs/blob/36a56e8e993d45fc40939a3a4d9c0c24990720f1/graal-nodejs/deps/npm/node_modules/node-gyp/gyp/pylib/gyp/MSVSUserFile.py#L140-L153 | ||
miyosuda/TensorFlowAndroidMNIST | 7b5a4603d2780a8a2834575706e9001977524007 | jni-build/jni/include/tensorflow/python/ops/check_ops.py | python | is_non_decreasing | (x, name=None) | Returns `True` if `x` is non-decreasing.
Elements of `x` are compared in row-major order. The tensor `[x[0],...]`
is non-decreasing if for every adjacent pair we have `x[i] <= x[i+1]`.
If `x` has less than two elements, it is trivially non-decreasing.
See also: `is_strictly_increasing`
Args:
x: Numer... | Returns `True` if `x` is non-decreasing. | [
"Returns",
"True",
"if",
"x",
"is",
"non",
"-",
"decreasing",
"."
] | def is_non_decreasing(x, name=None):
"""Returns `True` if `x` is non-decreasing.
Elements of `x` are compared in row-major order. The tensor `[x[0],...]`
is non-decreasing if for every adjacent pair we have `x[i] <= x[i+1]`.
If `x` has less than two elements, it is trivially non-decreasing.
See also: `is_... | [
"def",
"is_non_decreasing",
"(",
"x",
",",
"name",
"=",
"None",
")",
":",
"with",
"ops",
".",
"op_scope",
"(",
"[",
"x",
"]",
",",
"name",
",",
"'is_non_decreasing'",
")",
":",
"diff",
"=",
"_get_diff_for_monotonic_comparison",
"(",
"x",
")",
"# When len(x... | https://github.com/miyosuda/TensorFlowAndroidMNIST/blob/7b5a4603d2780a8a2834575706e9001977524007/jni-build/jni/include/tensorflow/python/ops/check_ops.py#L661-L684 | ||
aws/lumberyard | f85344403c1c2e77ec8c75deb2c116e97b713217 | dev/Gems/CloudGemMetric/v1/AWS/common-code/Lib/psutil/_psbsd.py | python | cpu_count_logical | () | return cext.cpu_count_logical() | Return the number of logical CPUs in the system. | Return the number of logical CPUs in the system. | [
"Return",
"the",
"number",
"of",
"logical",
"CPUs",
"in",
"the",
"system",
"."
] | def cpu_count_logical():
"""Return the number of logical CPUs in the system."""
return cext.cpu_count_logical() | [
"def",
"cpu_count_logical",
"(",
")",
":",
"return",
"cext",
".",
"cpu_count_logical",
"(",
")"
] | https://github.com/aws/lumberyard/blob/f85344403c1c2e77ec8c75deb2c116e97b713217/dev/Gems/CloudGemMetric/v1/AWS/common-code/Lib/psutil/_psbsd.py#L250-L252 | |
catboost/catboost | 167f64f237114a4d10b2b4ee42adb4569137debe | contrib/tools/python3/src/Lib/codecs.py | python | IncrementalDecoder.setstate | (self, state) | Set the current state of the decoder.
state must have been returned by getstate(). The effect of
setstate((b"", 0)) must be equivalent to reset(). | Set the current state of the decoder. | [
"Set",
"the",
"current",
"state",
"of",
"the",
"decoder",
"."
] | def setstate(self, state):
"""
Set the current state of the decoder.
state must have been returned by getstate(). The effect of
setstate((b"", 0)) must be equivalent to reset().
""" | [
"def",
"setstate",
"(",
"self",
",",
"state",
")",
":"
] | https://github.com/catboost/catboost/blob/167f64f237114a4d10b2b4ee42adb4569137debe/contrib/tools/python3/src/Lib/codecs.py#L295-L301 | ||
wxWidgets/wxPython-Classic | 19571e1ae65f1ac445f5491474121998c97a1bf0 | src/gtk/_misc.py | python | Caret.GetSizeTuple | (*args, **kwargs) | return _misc_.Caret_GetSizeTuple(*args, **kwargs) | GetSizeTuple() -> (width, height) | GetSizeTuple() -> (width, height) | [
"GetSizeTuple",
"()",
"-",
">",
"(",
"width",
"height",
")"
] | def GetSizeTuple(*args, **kwargs):
"""GetSizeTuple() -> (width, height)"""
return _misc_.Caret_GetSizeTuple(*args, **kwargs) | [
"def",
"GetSizeTuple",
"(",
"*",
"args",
",",
"*",
"*",
"kwargs",
")",
":",
"return",
"_misc_",
".",
"Caret_GetSizeTuple",
"(",
"*",
"args",
",",
"*",
"*",
"kwargs",
")"
] | https://github.com/wxWidgets/wxPython-Classic/blob/19571e1ae65f1ac445f5491474121998c97a1bf0/src/gtk/_misc.py#L766-L768 | |
moai/moai-dev | 0ba7c678311d1fa9dbc091f60665e95e54169fdf | 3rdparty/libwebp-0.4.1/swig/libwebp.py | python | wrap_WebPEncodeLosslessRGBA | (*args) | return _libwebp.wrap_WebPEncodeLosslessRGBA(*args) | private, do not call directly. | private, do not call directly. | [
"private",
"do",
"not",
"call",
"directly",
"."
] | def wrap_WebPEncodeLosslessRGBA(*args):
"""private, do not call directly."""
return _libwebp.wrap_WebPEncodeLosslessRGBA(*args) | [
"def",
"wrap_WebPEncodeLosslessRGBA",
"(",
"*",
"args",
")",
":",
"return",
"_libwebp",
".",
"wrap_WebPEncodeLosslessRGBA",
"(",
"*",
"args",
")"
] | https://github.com/moai/moai-dev/blob/0ba7c678311d1fa9dbc091f60665e95e54169fdf/3rdparty/libwebp-0.4.1/swig/libwebp.py#L127-L129 | |
protocolbuffers/protobuf | b5ab0b7a18b7336c60130f4ddb2d97c51792f896 | python/google/protobuf/descriptor.py | python | EnumValueDescriptor.__init__ | (self, name, index, number,
type=None, # pylint: disable=redefined-builtin
options=None, serialized_options=None, create_key=None) | Arguments are as described in the attribute description above. | Arguments are as described in the attribute description above. | [
"Arguments",
"are",
"as",
"described",
"in",
"the",
"attribute",
"description",
"above",
"."
] | def __init__(self, name, index, number,
type=None, # pylint: disable=redefined-builtin
options=None, serialized_options=None, create_key=None):
"""Arguments are as described in the attribute description above."""
if create_key is not _internal_create_key:
_Deprecated('EnumVa... | [
"def",
"__init__",
"(",
"self",
",",
"name",
",",
"index",
",",
"number",
",",
"type",
"=",
"None",
",",
"# pylint: disable=redefined-builtin",
"options",
"=",
"None",
",",
"serialized_options",
"=",
"None",
",",
"create_key",
"=",
"None",
")",
":",
"if",
... | https://github.com/protocolbuffers/protobuf/blob/b5ab0b7a18b7336c60130f4ddb2d97c51792f896/python/google/protobuf/descriptor.py#L738-L750 | ||
shogun-toolbox/shogun | 9b8d856971af5a295dd6ad70623ae45647a6334c | examples/meta/generator/translate.py | python | Translator.dependenciesString | (self, allClasses, interfacedClasses, enums,
globalFunctions) | return result | Returns dependency import string
e.g. for python: "from shogun import RealFeatures\n\n" | Returns dependency import string
e.g. for python: "from shogun import RealFeatures\n\n" | [
"Returns",
"dependency",
"import",
"string",
"e",
".",
"g",
".",
"for",
"python",
":",
"from",
"shogun",
"import",
"RealFeatures",
"\\",
"n",
"\\",
"n"
] | def dependenciesString(self, allClasses, interfacedClasses, enums,
globalFunctions):
""" Returns dependency import string
e.g. for python: "from shogun import RealFeatures\n\n"
"""
if "Dependencies" not in self.targetDict:
# Dependency strings ... | [
"def",
"dependenciesString",
"(",
"self",
",",
"allClasses",
",",
"interfacedClasses",
",",
"enums",
",",
"globalFunctions",
")",
":",
"if",
"\"Dependencies\"",
"not",
"in",
"self",
".",
"targetDict",
":",
"# Dependency strings are optional so we just return empty string"... | https://github.com/shogun-toolbox/shogun/blob/9b8d856971af5a295dd6ad70623ae45647a6334c/examples/meta/generator/translate.py#L333-L367 | |
protocolbuffers/protobuf | b5ab0b7a18b7336c60130f4ddb2d97c51792f896 | python/google/protobuf/internal/encoder.py | python | MessageSizer | (field_number, is_repeated, is_packed) | Returns a sizer for a message field. | Returns a sizer for a message field. | [
"Returns",
"a",
"sizer",
"for",
"a",
"message",
"field",
"."
] | def MessageSizer(field_number, is_repeated, is_packed):
"""Returns a sizer for a message field."""
tag_size = _TagSize(field_number)
local_VarintSize = _VarintSize
assert not is_packed
if is_repeated:
def RepeatedFieldSize(value):
result = tag_size * len(value)
for element in value:
l... | [
"def",
"MessageSizer",
"(",
"field_number",
",",
"is_repeated",
",",
"is_packed",
")",
":",
"tag_size",
"=",
"_TagSize",
"(",
"field_number",
")",
"local_VarintSize",
"=",
"_VarintSize",
"assert",
"not",
"is_packed",
"if",
"is_repeated",
":",
"def",
"RepeatedField... | https://github.com/protocolbuffers/protobuf/blob/b5ab0b7a18b7336c60130f4ddb2d97c51792f896/python/google/protobuf/internal/encoder.py#L290-L308 | ||
aws/lumberyard | f85344403c1c2e77ec8c75deb2c116e97b713217 | dev/Gems/CloudGemFramework/v1/AWS/common-code/ServiceClient_Python/cgf_service_client/path.py | python | Path.__init__ | (self, url, **kwargs) | Initializes a path object.
Arguments:
- url: the url represented by the Path object.
- kwargs: the configuration used by the Path object. The following
configuration properties are supported:
- session: a boto3.Session object that has the aws credentials and
... | Initializes a path object. | [
"Initializes",
"a",
"path",
"object",
"."
] | def __init__(self, url, **kwargs):
"""Initializes a path object.
Arguments:
- url: the url represented by the Path object.
- kwargs: the configuration used by the Path object. The following
configuration properties are supported:
- session: a boto3.Session o... | [
"def",
"__init__",
"(",
"self",
",",
"url",
",",
"*",
"*",
"kwargs",
")",
":",
"# TODO: add support for a \"spec\" configuration item. A spec is a description ",
"# of the child paths and operations supported by this path. A spec can be",
"# generated from a swagger api description, 'com... | https://github.com/aws/lumberyard/blob/f85344403c1c2e77ec8c75deb2c116e97b713217/dev/Gems/CloudGemFramework/v1/AWS/common-code/ServiceClient_Python/cgf_service_client/path.py#L84-L188 | ||
catboost/catboost | 167f64f237114a4d10b2b4ee42adb4569137debe | contrib/python/pandas/py3/pandas/core/generic.py | python | NDFrame.convert_dtypes | (
self: FrameOrSeries,
infer_objects: bool_t = True,
convert_string: bool_t = True,
convert_integer: bool_t = True,
convert_boolean: bool_t = True,
convert_floating: bool_t = True,
) | Convert columns to best possible dtypes using dtypes supporting ``pd.NA``.
.. versionadded:: 1.0.0
Parameters
----------
infer_objects : bool, default True
Whether object dtypes should be converted to the best possible types.
convert_string : bool, default True
... | Convert columns to best possible dtypes using dtypes supporting ``pd.NA``. | [
"Convert",
"columns",
"to",
"best",
"possible",
"dtypes",
"using",
"dtypes",
"supporting",
"pd",
".",
"NA",
"."
] | def convert_dtypes(
self: FrameOrSeries,
infer_objects: bool_t = True,
convert_string: bool_t = True,
convert_integer: bool_t = True,
convert_boolean: bool_t = True,
convert_floating: bool_t = True,
) -> FrameOrSeries:
"""
Convert columns to best possi... | [
"def",
"convert_dtypes",
"(",
"self",
":",
"FrameOrSeries",
",",
"infer_objects",
":",
"bool_t",
"=",
"True",
",",
"convert_string",
":",
"bool_t",
"=",
"True",
",",
"convert_integer",
":",
"bool_t",
"=",
"True",
",",
"convert_boolean",
":",
"bool_t",
"=",
"... | https://github.com/catboost/catboost/blob/167f64f237114a4d10b2b4ee42adb4569137debe/contrib/python/pandas/py3/pandas/core/generic.py#L6034-L6190 | ||
tensorflow/tensorflow | 419e3a6b650ea4bd1b0cba23c4348f8a69f3272e | tensorflow/python/ops/check_ops.py | python | _assert_static | (condition, data) | Raises a InvalidArgumentError with as much information as possible. | Raises a InvalidArgumentError with as much information as possible. | [
"Raises",
"a",
"InvalidArgumentError",
"with",
"as",
"much",
"information",
"as",
"possible",
"."
] | def _assert_static(condition, data):
"""Raises a InvalidArgumentError with as much information as possible."""
if not condition:
data_static = [_maybe_constant_value_string(x) for x in data]
raise errors.InvalidArgumentError(node_def=None, op=None,
message='\n'.join(dat... | [
"def",
"_assert_static",
"(",
"condition",
",",
"data",
")",
":",
"if",
"not",
"condition",
":",
"data_static",
"=",
"[",
"_maybe_constant_value_string",
"(",
"x",
")",
"for",
"x",
"in",
"data",
"]",
"raise",
"errors",
".",
"InvalidArgumentError",
"(",
"node... | https://github.com/tensorflow/tensorflow/blob/419e3a6b650ea4bd1b0cba23c4348f8a69f3272e/tensorflow/python/ops/check_ops.py#L80-L85 | ||
microsoft/checkedc-clang | a173fefde5d7877b7750e7ce96dd08cf18baebf2 | lldb/third_party/Python/module/pexpect-4.6/pexpect/expect.py | python | Expecter.expect_loop | (self, timeout=-1) | Blocking expect | Blocking expect | [
"Blocking",
"expect"
] | def expect_loop(self, timeout=-1):
"""Blocking expect"""
spawn = self.spawn
if timeout is not None:
end_time = time.time() + timeout
try:
incoming = spawn.buffer
spawn._buffer = spawn.buffer_type()
spawn._before = spawn.buffer_type()
... | [
"def",
"expect_loop",
"(",
"self",
",",
"timeout",
"=",
"-",
"1",
")",
":",
"spawn",
"=",
"self",
".",
"spawn",
"if",
"timeout",
"is",
"not",
"None",
":",
"end_time",
"=",
"time",
".",
"time",
"(",
")",
"+",
"timeout",
"try",
":",
"incoming",
"=",
... | https://github.com/microsoft/checkedc-clang/blob/a173fefde5d7877b7750e7ce96dd08cf18baebf2/lldb/third_party/Python/module/pexpect-4.6/pexpect/expect.py#L91-L122 | ||
mapnik/mapnik | f3da900c355e1d15059c4a91b00203dcc9d9f0ef | scons/scons-local-4.1.0/SCons/Script/SConsOptions.py | python | SConsValues.set_option | (self, name, value) | Sets an option from an SConscript file. | Sets an option from an SConscript file. | [
"Sets",
"an",
"option",
"from",
"an",
"SConscript",
"file",
"."
] | def set_option(self, name, value):
"""
Sets an option from an SConscript file.
"""
if name not in self.settable:
raise SCons.Errors.UserError("This option is not settable from a SConscript file: %s"%name)
if name == 'num_jobs':
try:
value ... | [
"def",
"set_option",
"(",
"self",
",",
"name",
",",
"value",
")",
":",
"if",
"name",
"not",
"in",
"self",
".",
"settable",
":",
"raise",
"SCons",
".",
"Errors",
".",
"UserError",
"(",
"\"This option is not settable from a SConscript file: %s\"",
"%",
"name",
"... | https://github.com/mapnik/mapnik/blob/f3da900c355e1d15059c4a91b00203dcc9d9f0ef/scons/scons-local-4.1.0/SCons/Script/SConsOptions.py#L142-L200 | ||
bulletphysics/bullet3 | f0f2a952e146f016096db6f85cf0c44ed75b0b9a | examples/pybullet/gym/pybullet_envs/agents/tools/streaming_mean.py | python | StreamingMean.__init__ | (self, shape, dtype) | Specify the shape and dtype of the mean to be estimated.
Note that a float mean to zero submitted elements is NaN, while computing
the integer mean of zero elements raises a division by zero error.
Args:
shape: Shape of the mean to compute.
dtype: Data type of the mean to compute. | Specify the shape and dtype of the mean to be estimated. | [
"Specify",
"the",
"shape",
"and",
"dtype",
"of",
"the",
"mean",
"to",
"be",
"estimated",
"."
] | def __init__(self, shape, dtype):
"""Specify the shape and dtype of the mean to be estimated.
Note that a float mean to zero submitted elements is NaN, while computing
the integer mean of zero elements raises a division by zero error.
Args:
shape: Shape of the mean to compute.
dtype: Data ... | [
"def",
"__init__",
"(",
"self",
",",
"shape",
",",
"dtype",
")",
":",
"self",
".",
"_dtype",
"=",
"dtype",
"self",
".",
"_sum",
"=",
"tf",
".",
"Variable",
"(",
"lambda",
":",
"tf",
".",
"zeros",
"(",
"shape",
",",
"dtype",
")",
",",
"False",
")"... | https://github.com/bulletphysics/bullet3/blob/f0f2a952e146f016096db6f85cf0c44ed75b0b9a/examples/pybullet/gym/pybullet_envs/agents/tools/streaming_mean.py#L28-L40 | ||
Polidea/SiriusObfuscator | b0e590d8130e97856afe578869b83a209e2b19be | SymbolExtractorAndRenamer/compiler-rt/lib/sanitizer_common/scripts/cpplint.py | python | ParseNolintSuppressions | (filename, raw_line, linenum, error) | Updates the global list of error-suppressions.
Parses any NOLINT comments on the current line, updating the global
error_suppressions store. Reports an error if the NOLINT comment
was malformed.
Args:
filename: str, the name of the input file.
raw_line: str, the line of input text, with comments.
... | Updates the global list of error-suppressions. | [
"Updates",
"the",
"global",
"list",
"of",
"error",
"-",
"suppressions",
"."
] | def ParseNolintSuppressions(filename, raw_line, linenum, error):
"""Updates the global list of error-suppressions.
Parses any NOLINT comments on the current line, updating the global
error_suppressions store. Reports an error if the NOLINT comment
was malformed.
Args:
filename: str, the name of the inp... | [
"def",
"ParseNolintSuppressions",
"(",
"filename",
",",
"raw_line",
",",
"linenum",
",",
"error",
")",
":",
"# FIXME(adonovan): \"NOLINT(\" is misparsed as NOLINT(*).",
"matched",
"=",
"_RE_SUPPRESSION",
".",
"search",
"(",
"raw_line",
")",
"if",
"matched",
":",
"cate... | https://github.com/Polidea/SiriusObfuscator/blob/b0e590d8130e97856afe578869b83a209e2b19be/SymbolExtractorAndRenamer/compiler-rt/lib/sanitizer_common/scripts/cpplint.py#L360-L386 | ||
krishauser/Klampt | 972cc83ea5befac3f653c1ba20f80155768ad519 | Python/klampt/robotsim.py | python | RobotModel.selfCollides | (self) | return _robotsim.RobotModel_selfCollides(self) | r"""
Returns true if the robot is in self collision (faster than manual testing) | r"""
Returns true if the robot is in self collision (faster than manual testing) | [
"r",
"Returns",
"true",
"if",
"the",
"robot",
"is",
"in",
"self",
"collision",
"(",
"faster",
"than",
"manual",
"testing",
")"
] | def selfCollides(self) ->bool:
r"""
Returns true if the robot is in self collision (faster than manual testing)
"""
return _robotsim.RobotModel_selfCollides(self) | [
"def",
"selfCollides",
"(",
"self",
")",
"->",
"bool",
":",
"return",
"_robotsim",
".",
"RobotModel_selfCollides",
"(",
"self",
")"
] | https://github.com/krishauser/Klampt/blob/972cc83ea5befac3f653c1ba20f80155768ad519/Python/klampt/robotsim.py#L5186-L5191 | |
jackaudio/jack2 | 21b293dbc37d42446141a08922cdec0d2550c6a0 | waflib/Scripting.py | python | set_main_module | (file_path) | Read the main wscript file into :py:const:`waflib.Context.Context.g_module` and
bind default functions such as ``init``, ``dist``, ``distclean`` if not defined.
Called by :py:func:`waflib.Scripting.waf_entry_point` during the initialization.
:param file_path: absolute path representing the top-level wscript file
:... | Read the main wscript file into :py:const:`waflib.Context.Context.g_module` and
bind default functions such as ``init``, ``dist``, ``distclean`` if not defined.
Called by :py:func:`waflib.Scripting.waf_entry_point` during the initialization. | [
"Read",
"the",
"main",
"wscript",
"file",
"into",
":",
"py",
":",
"const",
":",
"waflib",
".",
"Context",
".",
"Context",
".",
"g_module",
"and",
"bind",
"default",
"functions",
"such",
"as",
"init",
"dist",
"distclean",
"if",
"not",
"defined",
".",
"Cal... | def set_main_module(file_path):
"""
Read the main wscript file into :py:const:`waflib.Context.Context.g_module` and
bind default functions such as ``init``, ``dist``, ``distclean`` if not defined.
Called by :py:func:`waflib.Scripting.waf_entry_point` during the initialization.
:param file_path: absolute path repr... | [
"def",
"set_main_module",
"(",
"file_path",
")",
":",
"Context",
".",
"g_module",
"=",
"Context",
".",
"load_module",
"(",
"file_path",
")",
"Context",
".",
"g_module",
".",
"root_path",
"=",
"file_path",
"# note: to register the module globally, use the following:",
... | https://github.com/jackaudio/jack2/blob/21b293dbc37d42446141a08922cdec0d2550c6a0/waflib/Scripting.py#L182-L209 | ||
catboost/catboost | 167f64f237114a4d10b2b4ee42adb4569137debe | contrib/python/scipy/py2/scipy/cluster/hierarchy.py | python | _copy_array_if_base_present | (a) | Copy the array if its base points to a parent array. | Copy the array if its base points to a parent array. | [
"Copy",
"the",
"array",
"if",
"its",
"base",
"points",
"to",
"a",
"parent",
"array",
"."
] | def _copy_array_if_base_present(a):
"""
Copy the array if its base points to a parent array.
"""
if a.base is not None:
return a.copy()
elif np.issubsctype(a, np.float32):
return np.array(a, dtype=np.double)
else:
return a | [
"def",
"_copy_array_if_base_present",
"(",
"a",
")",
":",
"if",
"a",
".",
"base",
"is",
"not",
"None",
":",
"return",
"a",
".",
"copy",
"(",
")",
"elif",
"np",
".",
"issubsctype",
"(",
"a",
",",
"np",
".",
"float32",
")",
":",
"return",
"np",
".",
... | https://github.com/catboost/catboost/blob/167f64f237114a4d10b2b4ee42adb4569137debe/contrib/python/scipy/py2/scipy/cluster/hierarchy.py#L206-L215 | ||
ceph/ceph | 959663007321a369c83218414a29bd9dbc8bda3a | src/pybind/mgr/mirroring/fs/snapshot_mirror.py | python | FSSnapshotMirror.config_get | (self, key) | return val | fetch a config key value from mon config store | fetch a config key value from mon config store | [
"fetch",
"a",
"config",
"key",
"value",
"from",
"mon",
"config",
"store"
] | def config_get(self, key):
"""fetch a config key value from mon config store"""
cmd = {'prefix': 'config-key get', 'key': key}
r, outs, err = self.mgr.mon_command(cmd)
if r < 0 and not r == -errno.ENOENT:
log.error(f'mon command to get config-key {key} failed: {err}')
... | [
"def",
"config_get",
"(",
"self",
",",
"key",
")",
":",
"cmd",
"=",
"{",
"'prefix'",
":",
"'config-key get'",
",",
"'key'",
":",
"key",
"}",
"r",
",",
"outs",
",",
"err",
"=",
"self",
".",
"mgr",
".",
"mon_command",
"(",
"cmd",
")",
"if",
"r",
"<... | https://github.com/ceph/ceph/blob/959663007321a369c83218414a29bd9dbc8bda3a/src/pybind/mgr/mirroring/fs/snapshot_mirror.py#L343-L353 | |
openvinotoolkit/openvino | dedcbeafa8b84cccdc55ca64b8da516682b381c7 | src/bindings/python/src/compatibility/ngraph/opset1/ops.py | python | binary_convolution | (
data: NodeInput,
filters: NodeInput,
strides: List[int],
pads_begin: List[int],
pads_end: List[int],
dilations: List[int],
mode: str,
pad_value: float,
auto_pad: str = "EXPLICIT",
name: Optional[str] = None,
) | return _get_node_factory_opset1().create(
"BinaryConvolution",
as_nodes(data, filters),
{
"strides": strides,
"pads_begin": pads_begin,
"pads_end": pads_end,
"dilations": dilations,
"mode": mode,
"pad_value": pad_value,
... | Create node performing convolution with binary weights, binary input and integer output.
:param data: The node providing data batch tensor.
:param filter: The node providing filters tensor.
:param strides: The kernel window movement strides.
:param pads_begin: The number of pixels to add to the beginni... | Create node performing convolution with binary weights, binary input and integer output. | [
"Create",
"node",
"performing",
"convolution",
"with",
"binary",
"weights",
"binary",
"input",
"and",
"integer",
"output",
"."
] | def binary_convolution(
data: NodeInput,
filters: NodeInput,
strides: List[int],
pads_begin: List[int],
pads_end: List[int],
dilations: List[int],
mode: str,
pad_value: float,
auto_pad: str = "EXPLICIT",
name: Optional[str] = None,
) -> Node:
"""Create node performing convolu... | [
"def",
"binary_convolution",
"(",
"data",
":",
"NodeInput",
",",
"filters",
":",
"NodeInput",
",",
"strides",
":",
"List",
"[",
"int",
"]",
",",
"pads_begin",
":",
"List",
"[",
"int",
"]",
",",
"pads_end",
":",
"List",
"[",
"int",
"]",
",",
"dilations"... | https://github.com/openvinotoolkit/openvino/blob/dedcbeafa8b84cccdc55ca64b8da516682b381c7/src/bindings/python/src/compatibility/ngraph/opset1/ops.py#L177-L215 | |
wxWidgets/wxPython-Classic | 19571e1ae65f1ac445f5491474121998c97a1bf0 | src/osx_carbon/html2.py | python | WebView.CanGoForward | (*args, **kwargs) | return _html2.WebView_CanGoForward(*args, **kwargs) | CanGoForward(self) -> bool | CanGoForward(self) -> bool | [
"CanGoForward",
"(",
"self",
")",
"-",
">",
"bool"
] | def CanGoForward(*args, **kwargs):
"""CanGoForward(self) -> bool"""
return _html2.WebView_CanGoForward(*args, **kwargs) | [
"def",
"CanGoForward",
"(",
"*",
"args",
",",
"*",
"*",
"kwargs",
")",
":",
"return",
"_html2",
".",
"WebView_CanGoForward",
"(",
"*",
"args",
",",
"*",
"*",
"kwargs",
")"
] | https://github.com/wxWidgets/wxPython-Classic/blob/19571e1ae65f1ac445f5491474121998c97a1bf0/src/osx_carbon/html2.py#L242-L244 | |
eclipse/sumo | 7132a9b8b6eea734bdec38479026b4d8c4336d03 | tools/contributed/sumopy/agilepy/lib_wx/objpanel.py | python | WidgetContainer.apply_obj_to_valuewidget | (self) | Value of obj is read and applied to value widget.
To be overwritten. | Value of obj is read and applied to value widget.
To be overwritten. | [
"Value",
"of",
"obj",
"is",
"read",
"and",
"applied",
"to",
"value",
"widget",
".",
"To",
"be",
"overwritten",
"."
] | def apply_obj_to_valuewidget(self):
"""
Value of obj is read and applied to value widget.
To be overwritten.
"""
value = self.get_value_obj()
# print 'apply_obj_to_valuewidget',self._attrconf.attrname, value
self.set_widgetvalue(value) | [
"def",
"apply_obj_to_valuewidget",
"(",
"self",
")",
":",
"value",
"=",
"self",
".",
"get_value_obj",
"(",
")",
"# print 'apply_obj_to_valuewidget',self._attrconf.attrname, value",
"self",
".",
"set_widgetvalue",
"(",
"value",
")"
] | https://github.com/eclipse/sumo/blob/7132a9b8b6eea734bdec38479026b4d8c4336d03/tools/contributed/sumopy/agilepy/lib_wx/objpanel.py#L439-L446 | ||
yuxng/PoseCNN | 9f3dd7b7bce21dcafc05e8f18ccc90da3caabd04 | lib/datasets/lov_single.py | python | lov_single.metadata_path_at | (self, i) | return self.metadata_path_from_index(self.image_index[i]) | Return the absolute path to metadata i in the image sequence. | Return the absolute path to metadata i in the image sequence. | [
"Return",
"the",
"absolute",
"path",
"to",
"metadata",
"i",
"in",
"the",
"image",
"sequence",
"."
] | def metadata_path_at(self, i):
"""
Return the absolute path to metadata i in the image sequence.
"""
return self.metadata_path_from_index(self.image_index[i]) | [
"def",
"metadata_path_at",
"(",
"self",
",",
"i",
")",
":",
"return",
"self",
".",
"metadata_path_from_index",
"(",
"self",
".",
"image_index",
"[",
"i",
"]",
")"
] | https://github.com/yuxng/PoseCNN/blob/9f3dd7b7bce21dcafc05e8f18ccc90da3caabd04/lib/datasets/lov_single.py#L122-L126 | |
apache/qpid-proton | 6bcdfebb55ea3554bc29b1901422532db331a591 | python/proton/_transport.py | python | Transport.tick | (self, now: float) | return millis2secs(pn_transport_tick(self._impl, secs2millis(now))) | Process any pending transport timer events (like heartbeat generation).
This method should be called after all pending input has been
processed by the transport and before generating output. It returns
the deadline for the next pending timer event, if any are present.
.. note:: This fu... | Process any pending transport timer events (like heartbeat generation). | [
"Process",
"any",
"pending",
"transport",
"timer",
"events",
"(",
"like",
"heartbeat",
"generation",
")",
"."
] | def tick(self, now: float) -> float:
"""
Process any pending transport timer events (like heartbeat generation).
This method should be called after all pending input has been
processed by the transport and before generating output. It returns
the deadline for the next pending ti... | [
"def",
"tick",
"(",
"self",
",",
"now",
":",
"float",
")",
"->",
"float",
":",
"return",
"millis2secs",
"(",
"pn_transport_tick",
"(",
"self",
".",
"_impl",
",",
"secs2millis",
"(",
"now",
")",
")",
")"
] | https://github.com/apache/qpid-proton/blob/6bcdfebb55ea3554bc29b1901422532db331a591/python/proton/_transport.py#L253-L270 | |
sdhash/sdhash | b9eff63e4e5867e910f41fd69032bbb1c94a2a5e | sdhash-ui/jinja2/compiler.py | python | CodeGenerator.newline | (self, node=None, extra=0) | Add one or more newlines before the next write. | Add one or more newlines before the next write. | [
"Add",
"one",
"or",
"more",
"newlines",
"before",
"the",
"next",
"write",
"."
] | def newline(self, node=None, extra=0):
"""Add one or more newlines before the next write."""
self._new_lines = max(self._new_lines, 1 + extra)
if node is not None and node.lineno != self._last_line:
self._write_debug_info = node.lineno
self._last_line = node.lineno | [
"def",
"newline",
"(",
"self",
",",
"node",
"=",
"None",
",",
"extra",
"=",
"0",
")",
":",
"self",
".",
"_new_lines",
"=",
"max",
"(",
"self",
".",
"_new_lines",
",",
"1",
"+",
"extra",
")",
"if",
"node",
"is",
"not",
"None",
"and",
"node",
".",
... | https://github.com/sdhash/sdhash/blob/b9eff63e4e5867e910f41fd69032bbb1c94a2a5e/sdhash-ui/jinja2/compiler.py#L514-L519 | ||
windystrife/UnrealEngine_NVIDIAGameWorks | b50e6338a7c5b26374d66306ebc7807541ff815e | Engine/Extras/ThirdPartyNotUE/emsdk/Win64/python/2.7.5.3_64bit/Lib/site-packages/win32/lib/regutil.py | python | RegisterFileExtensions | (defPyIcon, defPycIcon, runCommand) | Register the core Python file extensions.
defPyIcon -- The default icon to use for .py files, in 'fname,offset' format.
defPycIcon -- The default icon to use for .pyc files, in 'fname,offset' format.
runCommand -- The command line to use for running .py files | Register the core Python file extensions.
defPyIcon -- The default icon to use for .py files, in 'fname,offset' format.
defPycIcon -- The default icon to use for .pyc files, in 'fname,offset' format.
runCommand -- The command line to use for running .py files | [
"Register",
"the",
"core",
"Python",
"file",
"extensions",
".",
"defPyIcon",
"--",
"The",
"default",
"icon",
"to",
"use",
"for",
".",
"py",
"files",
"in",
"fname",
"offset",
"format",
".",
"defPycIcon",
"--",
"The",
"default",
"icon",
"to",
"use",
"for",
... | def RegisterFileExtensions(defPyIcon, defPycIcon, runCommand):
"""Register the core Python file extensions.
defPyIcon -- The default icon to use for .py files, in 'fname,offset' format.
defPycIcon -- The default icon to use for .pyc files, in 'fname,offset' format.
runCommand -- The command line to use f... | [
"def",
"RegisterFileExtensions",
"(",
"defPyIcon",
",",
"defPycIcon",
",",
"runCommand",
")",
":",
"# Register the file extensions.",
"pythonFileId",
"=",
"RegistryIDPyFile",
"win32api",
".",
"RegSetValue",
"(",
"win32con",
".",
"HKEY_CLASSES_ROOT",
",",
"\".py\"",
",",... | https://github.com/windystrife/UnrealEngine_NVIDIAGameWorks/blob/b50e6338a7c5b26374d66306ebc7807541ff815e/Engine/Extras/ThirdPartyNotUE/emsdk/Win64/python/2.7.5.3_64bit/Lib/site-packages/win32/lib/regutil.py#L242-L266 | ||
catboost/catboost | 167f64f237114a4d10b2b4ee42adb4569137debe | contrib/python/numpy/py2/numpy/ma/core.py | python | MaskedArray.__float__ | (self) | return float(self.item()) | Convert to float. | Convert to float. | [
"Convert",
"to",
"float",
"."
] | def __float__(self):
"""
Convert to float.
"""
if self.size > 1:
raise TypeError("Only length-1 arrays can be converted "
"to Python scalars")
elif self._mask:
warnings.warn("Warning: converting a masked element to nan.", stack... | [
"def",
"__float__",
"(",
"self",
")",
":",
"if",
"self",
".",
"size",
">",
"1",
":",
"raise",
"TypeError",
"(",
"\"Only length-1 arrays can be converted \"",
"\"to Python scalars\"",
")",
"elif",
"self",
".",
"_mask",
":",
"warnings",
".",
"warn",
"(",
"\"Warn... | https://github.com/catboost/catboost/blob/167f64f237114a4d10b2b4ee42adb4569137debe/contrib/python/numpy/py2/numpy/ma/core.py#L4290-L4301 | |
wlanjie/AndroidFFmpeg | 7baf9122f4b8e1c74e7baf4be5c422c7a5ba5aaf | tools/fdk-aac-build/armeabi-v7a/toolchain/lib/python2.7/lib-tk/tkSimpleDialog.py | python | Dialog.__init__ | (self, parent, title = None) | Initialize a dialog.
Arguments:
parent -- a parent window (the application window)
title -- the dialog title | Initialize a dialog. | [
"Initialize",
"a",
"dialog",
"."
] | def __init__(self, parent, title = None):
'''Initialize a dialog.
Arguments:
parent -- a parent window (the application window)
title -- the dialog title
'''
Toplevel.__init__(self, parent)
self.withdraw() # remain invisible for now
# If the m... | [
"def",
"__init__",
"(",
"self",
",",
"parent",
",",
"title",
"=",
"None",
")",
":",
"Toplevel",
".",
"__init__",
"(",
"self",
",",
"parent",
")",
"self",
".",
"withdraw",
"(",
")",
"# remain invisible for now",
"# If the master is not viewable, don't",
"# make t... | https://github.com/wlanjie/AndroidFFmpeg/blob/7baf9122f4b8e1c74e7baf4be5c422c7a5ba5aaf/tools/fdk-aac-build/armeabi-v7a/toolchain/lib/python2.7/lib-tk/tkSimpleDialog.py#L37-L86 | ||
aws/lumberyard | f85344403c1c2e77ec8c75deb2c116e97b713217 | dev/Gems/CloudGemMetric/v1/AWS/python/windows/Lib/numba/cuda/cudadrv/driver.py | python | Device.COMPUTE_CAPABILITY | (self) | return self.compute_capability | For backward compatibility | For backward compatibility | [
"For",
"backward",
"compatibility"
] | def COMPUTE_CAPABILITY(self):
"""
For backward compatibility
"""
warnings.warn("Deprecated attribute 'COMPUTE_CAPABILITY'; use lower "
"case version", DeprecationWarning)
return self.compute_capability | [
"def",
"COMPUTE_CAPABILITY",
"(",
"self",
")",
":",
"warnings",
".",
"warn",
"(",
"\"Deprecated attribute 'COMPUTE_CAPABILITY'; use lower \"",
"\"case version\"",
",",
"DeprecationWarning",
")",
"return",
"self",
".",
"compute_capability"
] | https://github.com/aws/lumberyard/blob/f85344403c1c2e77ec8c75deb2c116e97b713217/dev/Gems/CloudGemMetric/v1/AWS/python/windows/Lib/numba/cuda/cudadrv/driver.py#L480-L486 | |
baidu-research/tensorflow-allreduce | 66d5b855e90b0949e9fa5cca5599fd729a70e874 | tensorflow/python/framework/common_shapes.py | python | unchanged_shape | (op) | return [op.inputs[0].get_shape()] | Shape function for ops that output an tensor like their first input. | Shape function for ops that output an tensor like their first input. | [
"Shape",
"function",
"for",
"ops",
"that",
"output",
"an",
"tensor",
"like",
"their",
"first",
"input",
"."
] | def unchanged_shape(op):
"""Shape function for ops that output an tensor like their first input."""
return [op.inputs[0].get_shape()] | [
"def",
"unchanged_shape",
"(",
"op",
")",
":",
"return",
"[",
"op",
".",
"inputs",
"[",
"0",
"]",
".",
"get_shape",
"(",
")",
"]"
] | https://github.com/baidu-research/tensorflow-allreduce/blob/66d5b855e90b0949e9fa5cca5599fd729a70e874/tensorflow/python/framework/common_shapes.py#L36-L38 | |
windystrife/UnrealEngine_NVIDIAGameWorks | b50e6338a7c5b26374d66306ebc7807541ff815e | Engine/Extras/ThirdPartyNotUE/emsdk/Win64/python/2.7.5.3_64bit/Lib/mailbox.py | python | Mailbox.iterkeys | (self) | Return an iterator over keys. | Return an iterator over keys. | [
"Return",
"an",
"iterator",
"over",
"keys",
"."
] | def iterkeys(self):
"""Return an iterator over keys."""
raise NotImplementedError('Method must be implemented by subclass') | [
"def",
"iterkeys",
"(",
"self",
")",
":",
"raise",
"NotImplementedError",
"(",
"'Method must be implemented by subclass'",
")"
] | https://github.com/windystrife/UnrealEngine_NVIDIAGameWorks/blob/b50e6338a7c5b26374d66306ebc7807541ff815e/Engine/Extras/ThirdPartyNotUE/emsdk/Win64/python/2.7.5.3_64bit/Lib/mailbox.py#L98-L100 | ||
aws/lumberyard | f85344403c1c2e77ec8c75deb2c116e97b713217 | dev/Tools/Python/3.7.10/mac/Python.framework/Versions/3.7/lib/python3.7/lib2to3/refactor.py | python | RefactoringTool.refactor | (self, items, write=False, doctests_only=False) | Refactor a list of files and directories. | Refactor a list of files and directories. | [
"Refactor",
"a",
"list",
"of",
"files",
"and",
"directories",
"."
] | def refactor(self, items, write=False, doctests_only=False):
"""Refactor a list of files and directories."""
for dir_or_file in items:
if os.path.isdir(dir_or_file):
self.refactor_dir(dir_or_file, write, doctests_only)
else:
self.refactor_file(dir... | [
"def",
"refactor",
"(",
"self",
",",
"items",
",",
"write",
"=",
"False",
",",
"doctests_only",
"=",
"False",
")",
":",
"for",
"dir_or_file",
"in",
"items",
":",
"if",
"os",
".",
"path",
".",
"isdir",
"(",
"dir_or_file",
")",
":",
"self",
".",
"refac... | https://github.com/aws/lumberyard/blob/f85344403c1c2e77ec8c75deb2c116e97b713217/dev/Tools/Python/3.7.10/mac/Python.framework/Versions/3.7/lib/python3.7/lib2to3/refactor.py#L275-L282 | ||
cathywu/Sentiment-Analysis | eb501fd1375c0c3f3ab430f963255f1bb858e659 | PyML-0.7.9/PyML/utils/fasta.py | python | fasta_slice.__init__ | (self, src, first, last = None) | :Parameters:
- `src` - the fasta file/file handle. file can be gzipped.
- `first` - the first record (either its index in the file or
its identifier
- `last` - the last record to be output (index in the file or identifier) | :Parameters:
- `src` - the fasta file/file handle. file can be gzipped.
- `first` - the first record (either its index in the file or
its identifier
- `last` - the last record to be output (index in the file or identifier) | [
":",
"Parameters",
":",
"-",
"src",
"-",
"the",
"fasta",
"file",
"/",
"file",
"handle",
".",
"file",
"can",
"be",
"gzipped",
".",
"-",
"first",
"-",
"the",
"first",
"record",
"(",
"either",
"its",
"index",
"in",
"the",
"file",
"or",
"its",
"identifie... | def __init__(self, src, first, last = None):
"""
:Parameters:
- `src` - the fasta file/file handle. file can be gzipped.
- `first` - the first record (either its index in the file or
its identifier
- `last` - the last record to be output (index in the file or identifier... | [
"def",
"__init__",
"(",
"self",
",",
"src",
",",
"first",
",",
"last",
"=",
"None",
")",
":",
"self",
".",
"__itr",
"=",
"_fasta_itr",
"(",
"src",
")",
"self",
".",
"__first",
"=",
"first",
"self",
".",
"__last",
"=",
"last",
"if",
"type",
"(",
"... | https://github.com/cathywu/Sentiment-Analysis/blob/eb501fd1375c0c3f3ab430f963255f1bb858e659/PyML-0.7.9/PyML/utils/fasta.py#L151-L171 | ||
apple/turicreate | cce55aa5311300e3ce6af93cb45ba791fd1bdf49 | src/external/xgboost/python-package/xgboost/plotting.py | python | plot_tree | (booster, num_trees=0, rankdir='UT', ax=None, **kwargs) | return ax | Plot specified tree.
Parameters
----------
booster : Booster, XGBModel
Booster or XGBModel instance
num_trees : int, default 0
Specify the ordinal number of target tree
rankdir : str, default "UT"
Passed to graphiz via graph_attr
ax : matplotlib Axes, default None
... | Plot specified tree. | [
"Plot",
"specified",
"tree",
"."
] | def plot_tree(booster, num_trees=0, rankdir='UT', ax=None, **kwargs):
"""Plot specified tree.
Parameters
----------
booster : Booster, XGBModel
Booster or XGBModel instance
num_trees : int, default 0
Specify the ordinal number of target tree
rankdir : str, default "UT"
P... | [
"def",
"plot_tree",
"(",
"booster",
",",
"num_trees",
"=",
"0",
",",
"rankdir",
"=",
"'UT'",
",",
"ax",
"=",
"None",
",",
"*",
"*",
"kwargs",
")",
":",
"try",
":",
"import",
"matplotlib",
".",
"pyplot",
"as",
"plt",
"import",
"matplotlib",
".",
"imag... | https://github.com/apple/turicreate/blob/cce55aa5311300e3ce6af93cb45ba791fd1bdf49/src/external/xgboost/python-package/xgboost/plotting.py#L206-L246 | |
ApolloAuto/apollo-platform | 86d9dc6743b496ead18d597748ebabd34a513289 | ros/third_party/lib_x86_64/python2.7/dist-packages/numpy/distutils/mingw32ccompiler.py | python | _build_import_library_x86 | () | return | Build the import libraries for Mingw32-gcc on Windows | Build the import libraries for Mingw32-gcc on Windows | [
"Build",
"the",
"import",
"libraries",
"for",
"Mingw32",
"-",
"gcc",
"on",
"Windows"
] | def _build_import_library_x86():
""" Build the import libraries for Mingw32-gcc on Windows
"""
lib_name = "python%d%d.lib" % tuple(sys.version_info[:2])
lib_file = os.path.join(sys.prefix, 'libs', lib_name)
out_name = "libpython%d%d.a" % tuple(sys.version_info[:2])
out_file = os.path.join(sys.pr... | [
"def",
"_build_import_library_x86",
"(",
")",
":",
"lib_name",
"=",
"\"python%d%d.lib\"",
"%",
"tuple",
"(",
"sys",
".",
"version_info",
"[",
":",
"2",
"]",
")",
"lib_file",
"=",
"os",
".",
"path",
".",
"join",
"(",
"sys",
".",
"prefix",
",",
"'libs'",
... | https://github.com/ApolloAuto/apollo-platform/blob/86d9dc6743b496ead18d597748ebabd34a513289/ros/third_party/lib_x86_64/python2.7/dist-packages/numpy/distutils/mingw32ccompiler.py#L404-L438 | |
catboost/catboost | 167f64f237114a4d10b2b4ee42adb4569137debe | contrib/python/scipy/py2/scipy/spatial/transform/rotation.py | python | Rotation.random | (cls, num=None, random_state=None) | return Rotation.from_quat(sample) | Generate uniformly distributed rotations.
Parameters
----------
num : int or None, optional
Number of random rotations to generate. If None (default), then a
single rotation is generated.
random_state : int, RandomState instance or None, optional
Acce... | Generate uniformly distributed rotations. | [
"Generate",
"uniformly",
"distributed",
"rotations",
"."
] | def random(cls, num=None, random_state=None):
"""Generate uniformly distributed rotations.
Parameters
----------
num : int or None, optional
Number of random rotations to generate. If None (default), then a
single rotation is generated.
random_state : int... | [
"def",
"random",
"(",
"cls",
",",
"num",
"=",
"None",
",",
"random_state",
"=",
"None",
")",
":",
"random_state",
"=",
"check_random_state",
"(",
"random_state",
")",
"if",
"num",
"is",
"None",
":",
"sample",
"=",
"random_state",
".",
"normal",
"(",
"siz... | https://github.com/catboost/catboost/blob/167f64f237114a4d10b2b4ee42adb4569137debe/contrib/python/scipy/py2/scipy/spatial/transform/rotation.py#L1479-L1524 | |
wxWidgets/wxPython-Classic | 19571e1ae65f1ac445f5491474121998c97a1bf0 | wx/tools/Editra/src/generator.py | python | LaTeX.GetId | (self) | return self._id | Returns the menu identifier for the LaTeX generator
@return: id of that identifies this generator | Returns the menu identifier for the LaTeX generator
@return: id of that identifies this generator | [
"Returns",
"the",
"menu",
"identifier",
"for",
"the",
"LaTeX",
"generator",
"@return",
":",
"id",
"of",
"that",
"identifies",
"this",
"generator"
] | def GetId(self):
"""Returns the menu identifier for the LaTeX generator
@return: id of that identifies this generator
"""
return self._id | [
"def",
"GetId",
"(",
"self",
")",
":",
"return",
"self",
".",
"_id"
] | https://github.com/wxWidgets/wxPython-Classic/blob/19571e1ae65f1ac445f5491474121998c97a1bf0/wx/tools/Editra/src/generator.py#L655-L660 | |
raymondlu/super-animation-samples | 04234269112ff0dc32447f27a761dbbb00b8ba17 | samples/cocos2d-x-3.1/CocosLuaGame2/frameworks/cocos2d-x/tools/bindings-generator/backup/clang-llvm-3.3-pybinding/cindex.py | python | Index.parse | (self, path, args=None, unsaved_files=None, options = 0) | return TranslationUnit.from_source(path, args, unsaved_files, options,
self) | Load the translation unit from the given source code file by running
clang and generating the AST before loading. Additional command line
parameters can be passed to clang via the args parameter.
In-memory contents for files can be provided by passing a list of pairs
to as unsaved_files... | Load the translation unit from the given source code file by running
clang and generating the AST before loading. Additional command line
parameters can be passed to clang via the args parameter. | [
"Load",
"the",
"translation",
"unit",
"from",
"the",
"given",
"source",
"code",
"file",
"by",
"running",
"clang",
"and",
"generating",
"the",
"AST",
"before",
"loading",
".",
"Additional",
"command",
"line",
"parameters",
"can",
"be",
"passed",
"to",
"clang",
... | def parse(self, path, args=None, unsaved_files=None, options = 0):
"""Load the translation unit from the given source code file by running
clang and generating the AST before loading. Additional command line
parameters can be passed to clang via the args parameter.
In-memory contents fo... | [
"def",
"parse",
"(",
"self",
",",
"path",
",",
"args",
"=",
"None",
",",
"unsaved_files",
"=",
"None",
",",
"options",
"=",
"0",
")",
":",
"return",
"TranslationUnit",
".",
"from_source",
"(",
"path",
",",
"args",
",",
"unsaved_files",
",",
"options",
... | https://github.com/raymondlu/super-animation-samples/blob/04234269112ff0dc32447f27a761dbbb00b8ba17/samples/cocos2d-x-3.1/CocosLuaGame2/frameworks/cocos2d-x/tools/bindings-generator/backup/clang-llvm-3.3-pybinding/cindex.py#L1923-L1937 | |
benoitsteiner/tensorflow-opencl | cb7cb40a57fde5cfd4731bc551e82a1e2fef43a5 | tensorflow/python/profiler/pprof_profiler.py | python | Samples.__init__ | (self, string_table) | Constructor.
Args:
string_table: A `StringTable` object. | Constructor. | [
"Constructor",
"."
] | def __init__(self, string_table):
"""Constructor.
Args:
string_table: A `StringTable` object.
"""
self._string_table = string_table
# TODO(annarev): figure out if location is unique for each node name.
# If not, also key this dictionary based on location ids.
self._node_name_to_sample... | [
"def",
"__init__",
"(",
"self",
",",
"string_table",
")",
":",
"self",
".",
"_string_table",
"=",
"string_table",
"# TODO(annarev): figure out if location is unique for each node name.",
"# If not, also key this dictionary based on location ids.",
"self",
".",
"_node_name_to_sample... | https://github.com/benoitsteiner/tensorflow-opencl/blob/cb7cb40a57fde5cfd4731bc551e82a1e2fef43a5/tensorflow/python/profiler/pprof_profiler.py#L212-L221 | ||
microsoft/ivy | 9f3c7ecc0b2383129fdd0953e10890d98d09a82d | ivy/ivy_parser.py | python | p_schdefnrhs_fmla | (p) | schdefnrhs : fmla | schdefnrhs : fmla | [
"schdefnrhs",
":",
"fmla"
] | def p_schdefnrhs_fmla(p):
'schdefnrhs : fmla'
p[0] = check_non_temporal(p[1]) | [
"def",
"p_schdefnrhs_fmla",
"(",
"p",
")",
":",
"p",
"[",
"0",
"]",
"=",
"check_non_temporal",
"(",
"p",
"[",
"1",
"]",
")"
] | https://github.com/microsoft/ivy/blob/9f3c7ecc0b2383129fdd0953e10890d98d09a82d/ivy/ivy_parser.py#L527-L529 | ||
facebook/fbthrift | fb9c8562aba04c4fd9b17716eb5d970cc88a75bb | thrift/lib/py/util/asyncio.py | python | create_client | (
client_klass,
*,
host=None,
port=None,
sock=None,
loop=None,
timeouts=None,
client_type=None,
ssl=None,
) | return async_protocol_manager(coro) | create an asyncio thrift client and return an async context
manager that can be used as follows:
async with create_client(smc2_client, port=1421) as smc:
await smc.getStatus()
This can be used in the old way:
with (await create_client(smc2_client, port=1421)) as smc:
await smc.getStat... | create an asyncio thrift client and return an async context
manager that can be used as follows: | [
"create",
"an",
"asyncio",
"thrift",
"client",
"and",
"return",
"an",
"async",
"context",
"manager",
"that",
"can",
"be",
"used",
"as",
"follows",
":"
] | def create_client(
client_klass,
*,
host=None,
port=None,
sock=None,
loop=None,
timeouts=None,
client_type=None,
ssl=None,
):
"""
create an asyncio thrift client and return an async context
manager that can be used as follows:
asyn... | [
"def",
"create_client",
"(",
"client_klass",
",",
"*",
",",
"host",
"=",
"None",
",",
"port",
"=",
"None",
",",
"sock",
"=",
"None",
",",
"loop",
"=",
"None",
",",
"timeouts",
"=",
"None",
",",
"client_type",
"=",
"None",
",",
"ssl",
"=",
"None",
"... | https://github.com/facebook/fbthrift/blob/fb9c8562aba04c4fd9b17716eb5d970cc88a75bb/thrift/lib/py/util/asyncio.py#L47-L97 | |
naver/sling | 5671cd445a2caae0b4dd0332299e4cfede05062c | webkit/Tools/Scripts/webkitpy/thirdparty/mod_pywebsocket/msgutil.py | python | MessageSender.__init__ | (self, request) | Construct an instance.
Args:
request: mod_python request. | Construct an instance. | [
"Construct",
"an",
"instance",
"."
] | def __init__(self, request):
"""Construct an instance.
Args:
request: mod_python request.
"""
threading.Thread.__init__(self)
self._request = request
self._queue = Queue.Queue()
self.setDaemon(True)
self.start() | [
"def",
"__init__",
"(",
"self",
",",
"request",
")",
":",
"threading",
".",
"Thread",
".",
"__init__",
"(",
"self",
")",
"self",
".",
"_request",
"=",
"request",
"self",
".",
"_queue",
"=",
"Queue",
".",
"Queue",
"(",
")",
"self",
".",
"setDaemon",
"... | https://github.com/naver/sling/blob/5671cd445a2caae0b4dd0332299e4cfede05062c/webkit/Tools/Scripts/webkitpy/thirdparty/mod_pywebsocket/msgutil.py#L185-L195 | ||
krishauser/Klampt | 972cc83ea5befac3f653c1ba20f80155768ad519 | Python/python2_version/klampt/vis/backends/qtbackend.py | python | QtGLWindow.setProgram | (self,program) | User will call this to set up the program variable | User will call this to set up the program variable | [
"User",
"will",
"call",
"this",
"to",
"set",
"up",
"the",
"program",
"variable"
] | def setProgram(self,program):
"""User will call this to set up the program variable"""
from ..glprogram import GLProgram
assert isinstance(program,GLProgram)
print "######### QGLWidget setProgram ###############"
if hasattr(program,'name'):
self.name = program.name
... | [
"def",
"setProgram",
"(",
"self",
",",
"program",
")",
":",
"from",
".",
".",
"glprogram",
"import",
"GLProgram",
"assert",
"isinstance",
"(",
"program",
",",
"GLProgram",
")",
"print",
"\"######### QGLWidget setProgram ###############\"",
"if",
"hasattr",
"(",
"p... | https://github.com/krishauser/Klampt/blob/972cc83ea5befac3f653c1ba20f80155768ad519/Python/python2_version/klampt/vis/backends/qtbackend.py#L127-L152 | ||
nvdla/sw | 79538ba1b52b040a4a4645f630e457fa01839e90 | umd/external/protobuf-2.6/python/google/protobuf/reflection.py | python | GeneratedProtocolMessageType.__new__ | (cls, name, bases, dictionary) | return new_class | Custom allocation for runtime-generated class types.
We override __new__ because this is apparently the only place
where we can meaningfully set __slots__ on the class we're creating(?).
(The interplay between metaclasses and slots is not very well-documented).
Args:
name: Name of the class (ign... | Custom allocation for runtime-generated class types. | [
"Custom",
"allocation",
"for",
"runtime",
"-",
"generated",
"class",
"types",
"."
] | def __new__(cls, name, bases, dictionary):
"""Custom allocation for runtime-generated class types.
We override __new__ because this is apparently the only place
where we can meaningfully set __slots__ on the class we're creating(?).
(The interplay between metaclasses and slots is not very well-document... | [
"def",
"__new__",
"(",
"cls",
",",
"name",
",",
"bases",
",",
"dictionary",
")",
":",
"descriptor",
"=",
"dictionary",
"[",
"GeneratedProtocolMessageType",
".",
"_DESCRIPTOR_KEY",
"]",
"bases",
"=",
"_NewMessage",
"(",
"bases",
",",
"descriptor",
",",
"diction... | https://github.com/nvdla/sw/blob/79538ba1b52b040a4a4645f630e457fa01839e90/umd/external/protobuf-2.6/python/google/protobuf/reflection.py#L104-L131 | |
PaddlePaddle/Anakin | 5fd68a6cc4c4620cd1a30794c1bf06eebd3f4730 | tools/external_converter_v2/parser/logger.py | python | logger.clean_up | () | clean up all the opened file pointer | clean up all the opened file pointer | [
"clean",
"up",
"all",
"the",
"opened",
"file",
"pointer"
] | def clean_up():
"""
clean up all the opened file pointer
"""
if logger.log_file_plist[0]:
logger.log_file_plist[0].close() | [
"def",
"clean_up",
"(",
")",
":",
"if",
"logger",
".",
"log_file_plist",
"[",
"0",
"]",
":",
"logger",
".",
"log_file_plist",
"[",
"0",
"]",
".",
"close",
"(",
")"
] | https://github.com/PaddlePaddle/Anakin/blob/5fd68a6cc4c4620cd1a30794c1bf06eebd3f4730/tools/external_converter_v2/parser/logger.py#L138-L143 | ||
tum-vision/fusenet | a1451be2971b348a01b0f525c2a3a7a0e215a591 | scripts/cpp_lint.py | python | CheckPosixThreading | (filename, clean_lines, linenum, error) | Checks for calls to thread-unsafe functions.
Much code has been originally written without consideration of
multi-threading. Also, engineers are relying on their old experience;
they have learned posix before threading extensions were added. These
tests guide the engineers to use thread-safe functions (when us... | Checks for calls to thread-unsafe functions. | [
"Checks",
"for",
"calls",
"to",
"thread",
"-",
"unsafe",
"functions",
"."
] | def CheckPosixThreading(filename, clean_lines, linenum, error):
"""Checks for calls to thread-unsafe functions.
Much code has been originally written without consideration of
multi-threading. Also, engineers are relying on their old experience;
they have learned posix before threading extensions were added. Th... | [
"def",
"CheckPosixThreading",
"(",
"filename",
",",
"clean_lines",
",",
"linenum",
",",
"error",
")",
":",
"line",
"=",
"clean_lines",
".",
"elided",
"[",
"linenum",
"]",
"for",
"single_thread_function",
",",
"multithread_safe_function",
"in",
"threading_list",
":... | https://github.com/tum-vision/fusenet/blob/a1451be2971b348a01b0f525c2a3a7a0e215a591/scripts/cpp_lint.py#L1681-L1705 | ||
eventql/eventql | 7ca0dbb2e683b525620ea30dc40540a22d5eb227 | deps/3rdparty/spidermonkey/mozjs/build/upload.py | python | DoSSHCommand | (command, user, host, port=None, ssh_key=None) | Execute command on user@host using ssh. Optionally use
port and ssh_key, if provided. | Execute command on user | [
"Execute",
"command",
"on",
"user"
] | def DoSSHCommand(command, user, host, port=None, ssh_key=None):
"""Execute command on user@host using ssh. Optionally use
port and ssh_key, if provided."""
cmdline = ["ssh"]
AppendOptionalArgsToSSHCommandline(cmdline, port, ssh_key)
cmdline.extend(["%s@%s" % (user, host), command])
with redo.re... | [
"def",
"DoSSHCommand",
"(",
"command",
",",
"user",
",",
"host",
",",
"port",
"=",
"None",
",",
"ssh_key",
"=",
"None",
")",
":",
"cmdline",
"=",
"[",
"\"ssh\"",
"]",
"AppendOptionalArgsToSSHCommandline",
"(",
"cmdline",
",",
"port",
",",
"ssh_key",
")",
... | https://github.com/eventql/eventql/blob/7ca0dbb2e683b525620ea30dc40540a22d5eb227/deps/3rdparty/spidermonkey/mozjs/build/upload.py#L80-L91 | ||
aws/lumberyard | f85344403c1c2e77ec8c75deb2c116e97b713217 | dev/Tools/Python/3.7.10/mac/Python.framework/Versions/3.7/lib/python3.7/site-packages/pip/_vendor/msgpack/fallback.py | python | unpackb | (packed, **kwargs) | return ret | Unpack an object from `packed`.
Raises ``ExtraData`` when *packed* contains extra bytes.
Raises ``ValueError`` when *packed* is incomplete.
Raises ``FormatError`` when *packed* is not valid msgpack.
Raises ``StackError`` when *packed* contains too nested.
Other exceptions can be raised during unpac... | Unpack an object from `packed`. | [
"Unpack",
"an",
"object",
"from",
"packed",
"."
] | def unpackb(packed, **kwargs):
"""
Unpack an object from `packed`.
Raises ``ExtraData`` when *packed* contains extra bytes.
Raises ``ValueError`` when *packed* is incomplete.
Raises ``FormatError`` when *packed* is not valid msgpack.
Raises ``StackError`` when *packed* contains too nested.
... | [
"def",
"unpackb",
"(",
"packed",
",",
"*",
"*",
"kwargs",
")",
":",
"unpacker",
"=",
"Unpacker",
"(",
"None",
",",
"max_buffer_size",
"=",
"len",
"(",
"packed",
")",
",",
"*",
"*",
"kwargs",
")",
"unpacker",
".",
"feed",
"(",
"packed",
")",
"try",
... | https://github.com/aws/lumberyard/blob/f85344403c1c2e77ec8c75deb2c116e97b713217/dev/Tools/Python/3.7.10/mac/Python.framework/Versions/3.7/lib/python3.7/site-packages/pip/_vendor/msgpack/fallback.py#L114-L138 | |
miyosuda/TensorFlowAndroidMNIST | 7b5a4603d2780a8a2834575706e9001977524007 | jni-build/jni/include/tensorflow/python/framework/tensor_shape.py | python | Dimension.__ge__ | (self, other) | Returns True if `self` is known to be greater than or equal to `other`.
Dimensions are compared as follows:
Dimension(m) >= Dimension(n) == m >= n
Dimension(m) >= Dimension(None) == None
Dimension(None) >= Dimension(n) == None
Dimension(None) >= Dimension(None) == None
Arg... | Returns True if `self` is known to be greater than or equal to `other`. | [
"Returns",
"True",
"if",
"self",
"is",
"known",
"to",
"be",
"greater",
"than",
"or",
"equal",
"to",
"other",
"."
] | def __ge__(self, other):
"""Returns True if `self` is known to be greater than or equal to `other`.
Dimensions are compared as follows:
Dimension(m) >= Dimension(n) == m >= n
Dimension(m) >= Dimension(None) == None
Dimension(None) >= Dimension(n) == None
Dimension(None) >= ... | [
"def",
"__ge__",
"(",
"self",
",",
"other",
")",
":",
"other",
"=",
"as_dimension",
"(",
"other",
")",
"if",
"self",
".",
"_value",
"is",
"None",
"or",
"other",
".",
"value",
"is",
"None",
":",
"return",
"None",
"else",
":",
"return",
"self",
".",
... | https://github.com/miyosuda/TensorFlowAndroidMNIST/blob/7b5a4603d2780a8a2834575706e9001977524007/jni-build/jni/include/tensorflow/python/framework/tensor_shape.py#L334-L355 | ||
google/ion | ef47f3b824050499ce5c6f774b366f6c4dbce0af | ion/build.py | python | TargetBuilder._ConstructGypArgs | (cls, flags, filename) | return command_line | Constructs the list of command-line arguments to pass to gyp.
Flags with multiple values are unpacked into multiple flags. Short flags
are rendered as two adjacent tokens in the list. Long flags are rendered
as a single token, with flag and value separated by an equals sign.
Args:
flags: The d... | Constructs the list of command-line arguments to pass to gyp. | [
"Constructs",
"the",
"list",
"of",
"command",
"-",
"line",
"arguments",
"to",
"pass",
"to",
"gyp",
"."
] | def _ConstructGypArgs(cls, flags, filename):
"""Constructs the list of command-line arguments to pass to gyp.
Flags with multiple values are unpacked into multiple flags. Short flags
are rendered as two adjacent tokens in the list. Long flags are rendered
as a single token, with flag and value separa... | [
"def",
"_ConstructGypArgs",
"(",
"cls",
",",
"flags",
",",
"filename",
")",
":",
"def",
"FormatArgAndValue",
"(",
"arg",
",",
"value",
")",
":",
"if",
"arg",
".",
"startswith",
"(",
"'--'",
")",
":",
"return",
"[",
"'{arg}={value}'",
".",
"format",
"(",
... | https://github.com/google/ion/blob/ef47f3b824050499ce5c6f774b366f6c4dbce0af/ion/build.py#L672-L715 | |
natanielruiz/android-yolo | 1ebb54f96a67a20ff83ddfc823ed83a13dc3a47f | jni-build/jni/include/tensorflow/python/ops/variables.py | python | Variable.get_shape | (self) | return self._variable.get_shape() | The `TensorShape` of this variable.
Returns:
A `TensorShape`. | The `TensorShape` of this variable. | [
"The",
"TensorShape",
"of",
"this",
"variable",
"."
] | def get_shape(self):
"""The `TensorShape` of this variable.
Returns:
A `TensorShape`.
"""
return self._variable.get_shape() | [
"def",
"get_shape",
"(",
"self",
")",
":",
"return",
"self",
".",
"_variable",
".",
"get_shape",
"(",
")"
] | https://github.com/natanielruiz/android-yolo/blob/1ebb54f96a67a20ff83ddfc823ed83a13dc3a47f/jni-build/jni/include/tensorflow/python/ops/variables.py#L674-L680 | |
wxWidgets/wxPython-Classic | 19571e1ae65f1ac445f5491474121998c97a1bf0 | src/osx_carbon/_misc.py | python | ConfigBase_Get | (*args, **kwargs) | return _misc_.ConfigBase_Get(*args, **kwargs) | ConfigBase_Get(bool createOnDemand=True) -> ConfigBase
Returns the current global config object, creating one if neccessary. | ConfigBase_Get(bool createOnDemand=True) -> ConfigBase | [
"ConfigBase_Get",
"(",
"bool",
"createOnDemand",
"=",
"True",
")",
"-",
">",
"ConfigBase"
] | def ConfigBase_Get(*args, **kwargs):
"""
ConfigBase_Get(bool createOnDemand=True) -> ConfigBase
Returns the current global config object, creating one if neccessary.
"""
return _misc_.ConfigBase_Get(*args, **kwargs) | [
"def",
"ConfigBase_Get",
"(",
"*",
"args",
",",
"*",
"*",
"kwargs",
")",
":",
"return",
"_misc_",
".",
"ConfigBase_Get",
"(",
"*",
"args",
",",
"*",
"*",
"kwargs",
")"
] | https://github.com/wxWidgets/wxPython-Classic/blob/19571e1ae65f1ac445f5491474121998c97a1bf0/src/osx_carbon/_misc.py#L3459-L3465 | |
baidu/Familia | 958febfd5fe7a61e46a35bfb084e71f806dde6a6 | tools/TopicMerge/topic_model_merge.py | python | TopicModelMerge.conv_topic_word | (self) | return topic_word, topic_sum | 将词-主题格式转换为主题-词格式。
词-主题表格存放每行格式为：词ID 主题ID:个数 ... 主题ID:个数
转换成主题-词存储，格式为：主题ID 词ID:个数 ... 词ID:个数
Args:
None
Returns:
topic_word: 转换后的主题-词模型
topic_sum: 统计每个主题下词的总数 | 将词-主题格式转换为主题-词格式。
词-主题表格存放每行格式为：词ID 主题ID:个数 ... 主题ID:个数
转换成主题-词存储，格式为：主题ID 词ID:个数 ... 词ID:个数 | [
"将词",
"-",
"主题格式转换为主题",
"-",
"词格式。",
"词",
"-",
"主题表格存放每行格式为：词ID",
"主题ID",
":",
"个数",
"...",
"主题ID",
":",
"个数",
"转换成主题",
"-",
"词存储，格式为：主题ID",
"词ID",
":",
"个数",
"...",
"词ID",
":",
"个数"
] | def conv_topic_word(self):
"""
将词-主题格式转换为主题-词格式。
词-主题表格存放每行格式为：词ID 主题ID:个数 ... 主题ID:个数
转换成主题-词存储，格式为：主题ID 词ID:个数 ... 词ID:个数
Args:
None
Returns:
topic_word: 转换后的主题-词模型
topic_sum: 统计每个主题下词的总数
"""
topic_word = [[] for _ ... | [
"def",
"conv_topic_word",
"(",
"self",
")",
":",
"topic_word",
"=",
"[",
"[",
"]",
"for",
"_",
"in",
"xrange",
"(",
"self",
".",
"_num_topics",
")",
"]",
"topic_sum",
"=",
"[",
"0",
"]",
"*",
"self",
".",
"_num_topics",
"with",
"open",
"(",
"self",
... | https://github.com/baidu/Familia/blob/958febfd5fe7a61e46a35bfb084e71f806dde6a6/tools/TopicMerge/topic_model_merge.py#L34-L57 | |
pyne/pyne | 0c2714d7c0d1b5e20be6ae6527da2c660dd6b1b3 | pyne/fispact.py | python | find_ind | (data, sub) | return ind | finds index in data whic contains sub string | finds index in data whic contains sub string | [
"finds",
"index",
"in",
"data",
"whic",
"contains",
"sub",
"string"
] | def find_ind(data, sub):
""" finds index in data whic contains sub string """
for i, s in enumerate(data):
if sub in s:
ind = i
return ind | [
"def",
"find_ind",
"(",
"data",
",",
"sub",
")",
":",
"for",
"i",
",",
"s",
"in",
"enumerate",
"(",
"data",
")",
":",
"if",
"sub",
"in",
"s",
":",
"ind",
"=",
"i",
"return",
"ind"
] | https://github.com/pyne/pyne/blob/0c2714d7c0d1b5e20be6ae6527da2c660dd6b1b3/pyne/fispact.py#L401-L406 | |
freesurfer/freesurfer | 6dbe527d43ffa611acb2cd112e9469f9bfec8e36 | infant/freesurfer_pipeline.py | python | CommandPipeline.mkdir | (self, directory) | Alias to make a directory if it does not exist. | Alias to make a directory if it does not exist. | [
"Alias",
"to",
"make",
"a",
"directory",
"if",
"it",
"does",
"not",
"exist",
"."
] | def mkdir(self, directory):
"""
Alias to make a directory if it does not exist.
"""
self.run(f'mkdir -p {directory}', outputs=directory) | [
"def",
"mkdir",
"(",
"self",
",",
"directory",
")",
":",
"self",
".",
"run",
"(",
"f'mkdir -p {directory}'",
",",
"outputs",
"=",
"directory",
")"
] | https://github.com/freesurfer/freesurfer/blob/6dbe527d43ffa611acb2cd112e9469f9bfec8e36/infant/freesurfer_pipeline.py#L179-L183 | ||
cms-sw/cmssw | fd9de012d503d3405420bcbeec0ec879baa57cf2 | FWCore/ParameterSet/python/Types.py | python | LuminosityBlockID._valueFromString | (value) | return LuminosityBlockID(int(parts[0]), int(parts[1])) | only used for cfg-parsing | only used for cfg-parsing | [
"only",
"used",
"for",
"cfg",
"-",
"parsing"
] | def _valueFromString(value):
"""only used for cfg-parsing"""
parts = value.split(":")
return LuminosityBlockID(int(parts[0]), int(parts[1])) | [
"def",
"_valueFromString",
"(",
"value",
")",
":",
"parts",
"=",
"value",
".",
"split",
"(",
"\":\"",
")",
"return",
"LuminosityBlockID",
"(",
"int",
"(",
"parts",
"[",
"0",
"]",
")",
",",
"int",
"(",
"parts",
"[",
"1",
"]",
")",
")"
] | https://github.com/cms-sw/cmssw/blob/fd9de012d503d3405420bcbeec0ec879baa57cf2/FWCore/ParameterSet/python/Types.py#L432-L435 | |
runtimejs/runtime | 0a6e84c30823d35a4548d6634166784260ae7b74 | deps/v8/tools/jsmin.py | python | JavaScriptMinifier.Push | (self) | Called when we encounter a '{'. | Called when we encounter a '{'. | [
"Called",
"when",
"we",
"encounter",
"a",
"{",
"."
] | def Push(self):
"""Called when we encounter a '{'."""
self.nesting += 1 | [
"def",
"Push",
"(",
"self",
")",
":",
"self",
".",
"nesting",
"+=",
"1"
] | https://github.com/runtimejs/runtime/blob/0a6e84c30823d35a4548d6634166784260ae7b74/deps/v8/tools/jsmin.py#L76-L78 | ||
geemaple/leetcode | 68bc5032e1ee52c22ef2f2e608053484c487af54 | leetcode/22.generate-parentheses.py | python | Solution.generateParenthesis | (self, n) | return res | :type n: int
:rtype: List[str] | :type n: int
:rtype: List[str] | [
":",
"type",
"n",
":",
"int",
":",
"rtype",
":",
"List",
"[",
"str",
"]"
] | def generateParenthesis(self, n):
"""
:type n: int
:rtype: List[str]
"""
res = []
self.helper('', 0, 0, n, res)
return res | [
"def",
"generateParenthesis",
"(",
"self",
",",
"n",
")",
":",
"res",
"=",
"[",
"]",
"self",
".",
"helper",
"(",
"''",
",",
"0",
",",
"0",
",",
"n",
",",
"res",
")",
"return",
"res"
] | https://github.com/geemaple/leetcode/blob/68bc5032e1ee52c22ef2f2e608053484c487af54/leetcode/22.generate-parentheses.py#L2-L9 | |
catboost/catboost | 167f64f237114a4d10b2b4ee42adb4569137debe | contrib/python/numpy/py2/numpy/polynomial/laguerre.py | python | laggauss | (deg) | return x, w | Gauss-Laguerre quadrature.
Computes the sample points and weights for Gauss-Laguerre quadrature.
These sample points and weights will correctly integrate polynomials of
degree :math:`2*deg - 1` or less over the interval :math:`[0, \\inf]`
with the weight function :math:`f(x) = \\exp(-x)`.
Paramete... | Gauss-Laguerre quadrature. | [
"Gauss",
"-",
"Laguerre",
"quadrature",
"."
] | def laggauss(deg):
"""
Gauss-Laguerre quadrature.
Computes the sample points and weights for Gauss-Laguerre quadrature.
These sample points and weights will correctly integrate polynomials of
degree :math:`2*deg - 1` or less over the interval :math:`[0, \\inf]`
with the weight function :math:`f... | [
"def",
"laggauss",
"(",
"deg",
")",
":",
"ideg",
"=",
"int",
"(",
"deg",
")",
"if",
"ideg",
"!=",
"deg",
"or",
"ideg",
"<",
"1",
":",
"raise",
"ValueError",
"(",
"\"deg must be a non-negative integer\"",
")",
"# first approximation of roots. We use the fact that t... | https://github.com/catboost/catboost/blob/167f64f237114a4d10b2b4ee42adb4569137debe/contrib/python/numpy/py2/numpy/polynomial/laguerre.py#L1675-L1736 | |
tensorflow/tensorflow | 419e3a6b650ea4bd1b0cba23c4348f8a69f3272e | tensorflow/python/ops/nn_ops.py | python | atrous_conv2d_transpose | (value,
filters,
output_shape,
rate,
padding,
name=None) | The transpose of `atrous_conv2d`.
This operation is sometimes called "deconvolution" after
(Zeiler et al., 2010), but is really the transpose (gradient) of
`atrous_conv2d` rather than an actual deconvolution.
Args:
value: A 4-D `Tensor` of type `float`. It needs to be in the default `NHWC`
format. I... | The transpose of `atrous_conv2d`. | [
"The",
"transpose",
"of",
"atrous_conv2d",
"."
] | def atrous_conv2d_transpose(value,
filters,
output_shape,
rate,
padding,
name=None):
"""The transpose of `atrous_conv2d`.
This operation is sometimes called "deconvolution" af... | [
"def",
"atrous_conv2d_transpose",
"(",
"value",
",",
"filters",
",",
"output_shape",
",",
"rate",
",",
"padding",
",",
"name",
"=",
"None",
")",
":",
"with",
"ops",
".",
"name_scope",
"(",
"name",
",",
"\"atrous_conv2d_transpose\"",
",",
"[",
"value",
",",
... | https://github.com/tensorflow/tensorflow/blob/419e3a6b650ea4bd1b0cba23c4348f8a69f3272e/tensorflow/python/ops/nn_ops.py#L2779-L2939 | ||
NervanaSystems/ngraph | f677a119765ca30636cf407009dabd118664951f | python/src/ngraph/ops.py | python | strided_slice | (
data: NodeInput,
begin: NodeInput,
end: NodeInput,
strides: NodeInput,
begin_mask: List[int],
end_mask: List[int],
new_axis_mask: Optional[List[int]] = None,
shrink_axis_mask: Optional[List[int]] = None,
ellipsis_mask: Optional[List[int]] = None,
name: Optional[str] = None,
) | return _get_node_factory().create(
"StridedSlice", as_nodes(data, begin, end, strides), attributes
) | Return a node which dynamically repeats(replicates) the input data tensor.
:param data: The tensor to be sliced
:param begin: 1D tensor with begin indexes for input blob slicing
:param end: 1D tensor with end indexes for input blob slicing
:param ... | Return a node which dynamically repeats(replicates) the input data tensor. | [
"Return",
"a",
"node",
"which",
"dynamically",
"repeats",
"(",
"replicates",
")",
"the",
"input",
"data",
"tensor",
"."
] | def strided_slice(
data: NodeInput,
begin: NodeInput,
end: NodeInput,
strides: NodeInput,
begin_mask: List[int],
end_mask: List[int],
new_axis_mask: Optional[List[int]] = None,
shrink_axis_mask: Optional[List[int]] = None,
ellipsis_mask: Optional[List[int]] = None,
name: Optional... | [
"def",
"strided_slice",
"(",
"data",
":",
"NodeInput",
",",
"begin",
":",
"NodeInput",
",",
"end",
":",
"NodeInput",
",",
"strides",
":",
"NodeInput",
",",
"begin_mask",
":",
"List",
"[",
"int",
"]",
",",
"end_mask",
":",
"List",
"[",
"int",
"]",
",",
... | https://github.com/NervanaSystems/ngraph/blob/f677a119765ca30636cf407009dabd118664951f/python/src/ngraph/ops.py#L2539-L2582 | |
catboost/catboost | 167f64f237114a4d10b2b4ee42adb4569137debe | contrib/tools/python/src/Lib/compiler/symbols.py | python | Scope.check_name | (self, name) | Return scope of name.
The scope of a name could be LOCAL, GLOBAL, FREE, or CELL. | Return scope of name. | [
"Return",
"scope",
"of",
"name",
"."
] | def check_name(self, name):
"""Return scope of name.
The scope of a name could be LOCAL, GLOBAL, FREE, or CELL.
"""
if name in self.globals:
return SC_GLOBAL_EXPLICIT
if name in self.cells:
return SC_CELL
if name in self.defs:
return S... | [
"def",
"check_name",
"(",
"self",
",",
"name",
")",
":",
"if",
"name",
"in",
"self",
".",
"globals",
":",
"return",
"SC_GLOBAL_EXPLICIT",
"if",
"name",
"in",
"self",
".",
"cells",
":",
"return",
"SC_CELL",
"if",
"name",
"in",
"self",
".",
"defs",
":",
... | https://github.com/catboost/catboost/blob/167f64f237114a4d10b2b4ee42adb4569137debe/contrib/tools/python/src/Lib/compiler/symbols.py#L87-L103 | ||
mhammond/pywin32 | 44afd86ba8485194df93234639243252deeb40d5 | win32/Demos/winprocess.py | python | Process.__close__ | (self, hwnd, dummy) | EnumWindows callback - sends WM_CLOSE to any window
owned by this process. | EnumWindows callback - sends WM_CLOSE to any window
owned by this process. | [
"EnumWindows",
"callback",
"-",
"sends",
"WM_CLOSE",
"to",
"any",
"window",
"owned",
"by",
"this",
"process",
"."
] | def __close__(self, hwnd, dummy):
"""
EnumWindows callback - sends WM_CLOSE to any window
owned by this process.
"""
TId, PId = win32process.GetWindowThreadProcessId(hwnd)
if PId == self.PId:
win32gui.PostMessage(hwnd, win32con.WM_CLOSE, 0, 0) | [
"def",
"__close__",
"(",
"self",
",",
"hwnd",
",",
"dummy",
")",
":",
"TId",
",",
"PId",
"=",
"win32process",
".",
"GetWindowThreadProcessId",
"(",
"hwnd",
")",
"if",
"PId",
"==",
"self",
".",
"PId",
":",
"win32gui",
".",
"PostMessage",
"(",
"hwnd",
",... | https://github.com/mhammond/pywin32/blob/44afd86ba8485194df93234639243252deeb40d5/win32/Demos/winprocess.py#L141-L148 | ||
thalium/icebox | 99d147d5b9269222225443ce171b4fd46d8985d4 | third_party/virtualbox/src/libs/libxml2-2.9.4/python/libxml2.py | python | xmlDoc.htmlNodeDumpOutput | (self, buf, cur, encoding) | Dump an HTML node, recursive behaviour,children are printed
too, and formatting returns/spaces are added. | Dump an HTML node, recursive behaviour,children are printed
too, and formatting returns/spaces are added. | [
"Dump",
"an",
"HTML",
"node",
"recursive",
"behaviour",
"children",
"are",
"printed",
"too",
"and",
"formatting",
"returns",
"/",
"spaces",
"are",
"added",
"."
] | def htmlNodeDumpOutput(self, buf, cur, encoding):
"""Dump an HTML node, recursive behaviour,children are printed
too, and formatting returns/spaces are added. """
if buf is None: buf__o = None
else: buf__o = buf._o
if cur is None: cur__o = None
else: cur__o = cur._o
... | [
"def",
"htmlNodeDumpOutput",
"(",
"self",
",",
"buf",
",",
"cur",
",",
"encoding",
")",
":",
"if",
"buf",
"is",
"None",
":",
"buf__o",
"=",
"None",
"else",
":",
"buf__o",
"=",
"buf",
".",
"_o",
"if",
"cur",
"is",
"None",
":",
"cur__o",
"=",
"None",... | https://github.com/thalium/icebox/blob/99d147d5b9269222225443ce171b4fd46d8985d4/third_party/virtualbox/src/libs/libxml2-2.9.4/python/libxml2.py#L4042-L4049 | ||
arangodb/arangodb | 0d658689c7d1b721b314fa3ca27d38303e1570c8 | 3rdParty/V8/v7.9.317/third_party/jinja2/filters.py | python | do_xmlattr | (_eval_ctx, d, autospace=True) | return rv | Create an SGML/XML attribute string based on the items in a dict.
All values that are neither `none` nor `undefined` are automatically
escaped:
.. sourcecode:: html+jinja
<ul{{ {'class': 'my_list', 'missing': none,
'id': 'list-%d'|format(variable)}|xmlattr }}>
...
<... | Create an SGML/XML attribute string based on the items in a dict.
All values that are neither `none` nor `undefined` are automatically
escaped: | [
"Create",
"an",
"SGML",
"/",
"XML",
"attribute",
"string",
"based",
"on",
"the",
"items",
"in",
"a",
"dict",
".",
"All",
"values",
"that",
"are",
"neither",
"none",
"nor",
"undefined",
"are",
"automatically",
"escaped",
":"
] | def do_xmlattr(_eval_ctx, d, autospace=True):
"""Create an SGML/XML attribute string based on the items in a dict.
All values that are neither `none` nor `undefined` are automatically
escaped:
.. sourcecode:: html+jinja
<ul{{ {'class': 'my_list', 'missing': none,
'id': 'list-%d... | [
"def",
"do_xmlattr",
"(",
"_eval_ctx",
",",
"d",
",",
"autospace",
"=",
"True",
")",
":",
"rv",
"=",
"u' '",
".",
"join",
"(",
"u'%s=\"%s\"'",
"%",
"(",
"escape",
"(",
"key",
")",
",",
"escape",
"(",
"value",
")",
")",
"for",
"key",
",",
"value",
... | https://github.com/arangodb/arangodb/blob/0d658689c7d1b721b314fa3ca27d38303e1570c8/3rdParty/V8/v7.9.317/third_party/jinja2/filters.py#L154-L186 | |
google/iree | 1224bbdbe65b0d1fdf40e7324f60f68beeaf7c76 | integrations/tensorflow/python_projects/iree_tf/iree/tf/support/module_utils.py | python | CompiledModule.create_from_signature_def_saved_model | (
cls,
saved_model_dir: str,
saved_model_tags: Set[str],
module_name: str,
backend_info: "BackendInfo",
exported_name: str,
input_names: Sequence[str],
output_names: Sequence[str],
artifacts_dir: Optional[str] = None) | Compile a SignatureDef SavedModel to the target backend in backend_info.
Args:
saved_model_dir: Directory of the saved model.
saved_model_tags: Optional set of tags to use when loading the model.
module_name: A name for this compiled module.
backend_info: BackendInfo with the details for co... | Compile a SignatureDef SavedModel to the target backend in backend_info. | [
"Compile",
"a",
"SignatureDef",
"SavedModel",
"to",
"the",
"target",
"backend",
"in",
"backend_info",
"."
] | def create_from_signature_def_saved_model(
cls,
saved_model_dir: str,
saved_model_tags: Set[str],
module_name: str,
backend_info: "BackendInfo",
exported_name: str,
input_names: Sequence[str],
output_names: Sequence[str],
artifacts_dir: Optional[str] = None):
""... | [
"def",
"create_from_signature_def_saved_model",
"(",
"cls",
",",
"saved_model_dir",
":",
"str",
",",
"saved_model_tags",
":",
"Set",
"[",
"str",
"]",
",",
"module_name",
":",
"str",
",",
"backend_info",
":",
"\"BackendInfo\"",
",",
"exported_name",
":",
"str",
"... | https://github.com/google/iree/blob/1224bbdbe65b0d1fdf40e7324f60f68beeaf7c76/integrations/tensorflow/python_projects/iree_tf/iree/tf/support/module_utils.py#L252-L277 | ||
mavlink/mavros | a32232d57a5e91abf6737e454d4199cae29b369c | mavros/mavros/cmd/safety.py | python | disarm | (ctx, client) | Disarm motors. | Disarm motors. | [
"Disarm",
"motors",
"."
] | def disarm(ctx, client):
"""Disarm motors."""
_arm(ctx, client, False) | [
"def",
"disarm",
"(",
"ctx",
",",
"client",
")",
":",
"_arm",
"(",
"ctx",
",",
"client",
",",
"False",
")"
] | https://github.com/mavlink/mavros/blob/a32232d57a5e91abf6737e454d4199cae29b369c/mavros/mavros/cmd/safety.py#L48-L50 | ||
RegrowthStudios/SoACode-Public | c3ddd69355b534d5e70e2e6d0c489b4e93ab1ffe | utils/git-hooks/cpplint/cpplint.py | python | _OutputFormat | () | return _cpplint_state.output_format | Gets the module's output format. | Gets the module's output format. | [
"Gets",
"the",
"module",
"s",
"output",
"format",
"."
] | def _OutputFormat():
"""Gets the module's output format."""
return _cpplint_state.output_format | [
"def",
"_OutputFormat",
"(",
")",
":",
"return",
"_cpplint_state",
".",
"output_format"
] | https://github.com/RegrowthStudios/SoACode-Public/blob/c3ddd69355b534d5e70e2e6d0c489b4e93ab1ffe/utils/git-hooks/cpplint/cpplint.py#L591-L593 | |
Kitware/ParaView | f760af9124ff4634b23ebbeab95a4f56e0261955 | Utilities/spack/repo/packages/paraview/package.py | python | Paraview.paraview_subdir | (self) | The paraview subdirectory name as paraview-major.minor | The paraview subdirectory name as paraview-major.minor | [
"The",
"paraview",
"subdirectory",
"name",
"as",
"paraview",
"-",
"major",
".",
"minor"
] | def paraview_subdir(self):
"""The paraview subdirectory name as paraview-major.minor"""
if self.spec.version == Version('master'):
return 'paraview-5.9'
else:
return 'paraview-{0}'.format(self.spec.version.up_to(2)) | [
"def",
"paraview_subdir",
"(",
"self",
")",
":",
"if",
"self",
".",
"spec",
".",
"version",
"==",
"Version",
"(",
"'master'",
")",
":",
"return",
"'paraview-5.9'",
"else",
":",
"return",
"'paraview-{0}'",
".",
"format",
"(",
"self",
".",
"spec",
".",
"ve... | https://github.com/Kitware/ParaView/blob/f760af9124ff4634b23ebbeab95a4f56e0261955/Utilities/spack/repo/packages/paraview/package.py#L237-L242 | ||
protocolbuffers/protobuf | b5ab0b7a18b7336c60130f4ddb2d97c51792f896 | python/google/protobuf/service_reflection.py | python | _ServiceBuilder._GetResponseClass | (self, method_descriptor) | return method_descriptor.output_type._concrete_class | Returns the class of the response protocol message.
Args:
method_descriptor: Descriptor of the method for which to return the
response protocol message class.
Returns:
A class that represents the output protocol message of the specified
method. | Returns the class of the response protocol message. | [
"Returns",
"the",
"class",
"of",
"the",
"response",
"protocol",
"message",
"."
] | def _GetResponseClass(self, method_descriptor):
"""Returns the class of the response protocol message.
Args:
method_descriptor: Descriptor of the method for which to return the
response protocol message class.
Returns:
A class that represents the output protocol message of the specifie... | [
"def",
"_GetResponseClass",
"(",
"self",
",",
"method_descriptor",
")",
":",
"if",
"method_descriptor",
".",
"containing_service",
"!=",
"self",
".",
"descriptor",
":",
"raise",
"RuntimeError",
"(",
"'GetResponseClass() given method descriptor for wrong service type.'",
")"... | https://github.com/protocolbuffers/protobuf/blob/b5ab0b7a18b7336c60130f4ddb2d97c51792f896/python/google/protobuf/service_reflection.py#L199-L213 | |
tensorflow/tensorflow | 419e3a6b650ea4bd1b0cba23c4348f8a69f3272e | tensorflow/python/saved_model/save.py | python | _get_outer_most_capture | (fn, capture, func_graph_map) | return outer_fn, capture | Tries to find the original captured tensor if capture more than once. | Tries to find the original captured tensor if capture more than once. | [
"Tries",
"to",
"find",
"the",
"original",
"captured",
"tensor",
"if",
"capture",
"more",
"than",
"once",
"."
] | def _get_outer_most_capture(fn, capture, func_graph_map):
"""Tries to find the original captured tensor if capture more than once."""
outer_fn = fn
while outer_fn is not None and not isinstance(capture, ops.EagerTensor):
if capture.graph is not outer_fn.graph:
outer_fn = func_graph_map.get(outer_fn.grap... | [
"def",
"_get_outer_most_capture",
"(",
"fn",
",",
"capture",
",",
"func_graph_map",
")",
":",
"outer_fn",
"=",
"fn",
"while",
"outer_fn",
"is",
"not",
"None",
"and",
"not",
"isinstance",
"(",
"capture",
",",
"ops",
".",
"EagerTensor",
")",
":",
"if",
"capt... | https://github.com/tensorflow/tensorflow/blob/419e3a6b650ea4bd1b0cba23c4348f8a69f3272e/tensorflow/python/saved_model/save.py#L794-L808 | |
ChromiumWebApps/chromium | c7361d39be8abd1574e6ce8957c8dbddd4c6ccf7 | tools/perf/metrics/statistics.py | python | Median | (values) | return Percentile(values, 50) | Gets the median of a list of values. | Gets the median of a list of values. | [
"Gets",
"the",
"median",
"of",
"a",
"list",
"of",
"values",
"."
] | def Median(values):
"""Gets the median of a list of values."""
return Percentile(values, 50) | [
"def",
"Median",
"(",
"values",
")",
":",
"return",
"Percentile",
"(",
"values",
",",
"50",
")"
] | https://github.com/ChromiumWebApps/chromium/blob/c7361d39be8abd1574e6ce8957c8dbddd4c6ccf7/tools/perf/metrics/statistics.py#L189-L191 | |
wxWidgets/wxPython-Classic | 19571e1ae65f1ac445f5491474121998c97a1bf0 | src/osx_cocoa/_controls.py | python | Choice.__init__ | (self, *args, **kwargs) | __init__(Window parent, int id, Point pos=DefaultPosition, Size size=DefaultSize,
List choices=EmptyList, long style=0, Validator validator=DefaultValidator,
String name=ChoiceNameStr) -> Choice
Create and show a Choice control | __init__(Window parent, int id, Point pos=DefaultPosition, Size size=DefaultSize,
List choices=EmptyList, long style=0, Validator validator=DefaultValidator,
String name=ChoiceNameStr) -> Choice | [
"__init__",
"(",
"Window",
"parent",
"int",
"id",
"Point",
"pos",
"=",
"DefaultPosition",
"Size",
"size",
"=",
"DefaultSize",
"List",
"choices",
"=",
"EmptyList",
"long",
"style",
"=",
"0",
"Validator",
"validator",
"=",
"DefaultValidator",
"String",
"name",
"... | def __init__(self, *args, **kwargs):
"""
__init__(Window parent, int id, Point pos=DefaultPosition, Size size=DefaultSize,
List choices=EmptyList, long style=0, Validator validator=DefaultValidator,
String name=ChoiceNameStr) -> Choice
Create and show a Choice control
... | [
"def",
"__init__",
"(",
"self",
",",
"*",
"args",
",",
"*",
"*",
"kwargs",
")",
":",
"_controls_",
".",
"Choice_swiginit",
"(",
"self",
",",
"_controls_",
".",
"new_Choice",
"(",
"*",
"args",
",",
"*",
"*",
"kwargs",
")",
")",
"self",
".",
"_setOORIn... | https://github.com/wxWidgets/wxPython-Classic/blob/19571e1ae65f1ac445f5491474121998c97a1bf0/src/osx_cocoa/_controls.py#L493-L502 | ||
verilog-to-routing/vtr-verilog-to-routing | d9719cf7374821156c3cee31d66991cb85578562 | vtr_flow/scripts/python_libs/vtr/task.py | python | shorten_task_names | (configs, common_task_prefix) | return new_configs | Shorten the task names of the configs by remove the common task prefix. | Shorten the task names of the configs by remove the common task prefix. | [
"Shorten",
"the",
"task",
"names",
"of",
"the",
"configs",
"by",
"remove",
"the",
"common",
"task",
"prefix",
"."
] | def shorten_task_names(configs, common_task_prefix):
"""
Shorten the task names of the configs by remove the common task prefix.
"""
new_configs = []
for config in configs:
config.task_name = config.task_name.replace(common_task_prefix, "")
new_configs += [config]
return new_conf... | [
"def",
"shorten_task_names",
"(",
"configs",
",",
"common_task_prefix",
")",
":",
"new_configs",
"=",
"[",
"]",
"for",
"config",
"in",
"configs",
":",
"config",
".",
"task_name",
"=",
"config",
".",
"task_name",
".",
"replace",
"(",
"common_task_prefix",
",",
... | https://github.com/verilog-to-routing/vtr-verilog-to-routing/blob/d9719cf7374821156c3cee31d66991cb85578562/vtr_flow/scripts/python_libs/vtr/task.py#L292-L300 | |
catboost/catboost | 167f64f237114a4d10b2b4ee42adb4569137debe | contrib/python/scikit-learn/py2/sklearn/gaussian_process/correlation_models.py | python | absolute_exponential | (theta, d) | Absolute exponential autocorrelation model.
(Ornstein-Uhlenbeck stochastic process)::
n
theta, d --> r(theta, d) = exp( sum - theta_i * |d_i| )
i = 1
Parameters
----------
theta : array_like
An array wi... | Absolute exponential autocorrelation model.
(Ornstein-Uhlenbeck stochastic process):: | [
"Absolute",
"exponential",
"autocorrelation",
"model",
".",
"(",
"Ornstein",
"-",
"Uhlenbeck",
"stochastic",
"process",
")",
"::"
] | def absolute_exponential(theta, d):
"""
Absolute exponential autocorrelation model.
(Ornstein-Uhlenbeck stochastic process)::
n
theta, d --> r(theta, d) = exp( sum - theta_i * |d_i| )
i = 1
Parameters
-----... | [
"def",
"absolute_exponential",
"(",
"theta",
",",
"d",
")",
":",
"theta",
"=",
"np",
".",
"asarray",
"(",
"theta",
",",
"dtype",
"=",
"np",
".",
"float64",
")",
"d",
"=",
"np",
".",
"abs",
"(",
"np",
".",
"asarray",
"(",
"d",
",",
"dtype",
"=",
... | https://github.com/catboost/catboost/blob/167f64f237114a4d10b2b4ee42adb4569137debe/contrib/python/scikit-learn/py2/sklearn/gaussian_process/correlation_models.py#L15-L54 | ||
rapidsai/cudf | d5b2448fc69f17509304d594f029d0df56984962 | python/cudf/cudf/core/indexed_frame.py | python | IndexedFrame.first | (self, offset) | return self._first_or_last(
offset,
idx=0,
op=operator.__add__,
side="left",
slice_func=lambda i: self.iloc[:i],
) | Select initial periods of time series data based on a date offset.
When having a DataFrame with **sorted** dates as index, this function
can select the first few rows based on a date offset.
Parameters
----------
offset: str
The offset length of the data that will b... | Select initial periods of time series data based on a date offset. | [
"Select",
"initial",
"periods",
"of",
"time",
"series",
"data",
"based",
"on",
"a",
"date",
"offset",
"."
] | def first(self, offset):
"""Select initial periods of time series data based on a date offset.
When having a DataFrame with **sorted** dates as index, this function
can select the first few rows based on a date offset.
Parameters
----------
offset: str
The o... | [
"def",
"first",
"(",
"self",
",",
"offset",
")",
":",
"return",
"self",
".",
"_first_or_last",
"(",
"offset",
",",
"idx",
"=",
"0",
",",
"op",
"=",
"operator",
".",
"__add__",
",",
"side",
"=",
"\"left\"",
",",
"slice_func",
"=",
"lambda",
"i",
":",
... | https://github.com/rapidsai/cudf/blob/d5b2448fc69f17509304d594f029d0df56984962/python/cudf/cudf/core/indexed_frame.py#L1606-L1650 | |
yuxng/PoseCNN | 9f3dd7b7bce21dcafc05e8f18ccc90da3caabd04 | lib/datasets/imdb.py | python | imdb.evaluate_proposals | (self, all_boxes, output_dir=None) | all_boxes is a list of length number-of-classes.
Each list element is a list of length number-of-images.
Each of those list elements is either an empty list []
or a numpy array of detection.
all_boxes[class][image] = [] or np.array of shape #dets x 5 | all_boxes is a list of length number-of-classes.
Each list element is a list of length number-of-images.
Each of those list elements is either an empty list []
or a numpy array of detection. | [
"all_boxes",
"is",
"a",
"list",
"of",
"length",
"number",
"-",
"of",
"-",
"classes",
".",
"Each",
"list",
"element",
"is",
"a",
"list",
"of",
"length",
"number",
"-",
"of",
"-",
"images",
".",
"Each",
"of",
"those",
"list",
"elements",
"is",
"either",
... | def evaluate_proposals(self, all_boxes, output_dir=None):
"""
all_boxes is a list of length number-of-classes.
Each list element is a list of length number-of-images.
Each of those list elements is either an empty list []
or a numpy array of detection.
all_boxes[class][i... | [
"def",
"evaluate_proposals",
"(",
"self",
",",
"all_boxes",
",",
"output_dir",
"=",
"None",
")",
":",
"raise",
"NotImplementedError"
] | https://github.com/yuxng/PoseCNN/blob/9f3dd7b7bce21dcafc05e8f18ccc90da3caabd04/lib/datasets/imdb.py#L93-L102 | ||
aws/lumberyard | f85344403c1c2e77ec8c75deb2c116e97b713217 | dev/Gems/CloudGemMetric/v1/AWS/common-code/Lib/numba/targets/setobj.py | python | SetInstance.symmetric_difference | (self, other) | In-place symmetric difference with *other* set. | In-place symmetric difference with *other* set. | [
"In",
"-",
"place",
"symmetric",
"difference",
"with",
"*",
"other",
"*",
"set",
"."
] | def symmetric_difference(self, other):
"""
In-place symmetric difference with *other* set.
"""
context = self._context
builder = self._builder
other_payload = other.payload
with other_payload._iterate() as loop:
key = loop.entry.key
h = lo... | [
"def",
"symmetric_difference",
"(",
"self",
",",
"other",
")",
":",
"context",
"=",
"self",
".",
"_context",
"builder",
"=",
"self",
".",
"_builder",
"other_payload",
"=",
"other",
".",
"payload",
"with",
"other_payload",
".",
"_iterate",
"(",
")",
"as",
"... | https://github.com/aws/lumberyard/blob/f85344403c1c2e77ec8c75deb2c116e97b713217/dev/Gems/CloudGemMetric/v1/AWS/common-code/Lib/numba/targets/setobj.py#L643-L665 | ||
catboost/catboost | 167f64f237114a4d10b2b4ee42adb4569137debe | contrib/python/scipy/scipy/signal/filter_design.py | python | ellipord | (wp, ws, gpass, gstop, analog=False) | return ord, wn | Elliptic (Cauer) filter order selection.
Return the order of the lowest order digital or analog elliptic filter
that loses no more than `gpass` dB in the passband and has at least
`gstop` dB attenuation in the stopband.
Parameters
----------
wp, ws : float
Passband and stopband edge fr... | Elliptic (Cauer) filter order selection. | [
"Elliptic",
"(",
"Cauer",
")",
"filter",
"order",
"selection",
"."
] | def ellipord(wp, ws, gpass, gstop, analog=False):
"""Elliptic (Cauer) filter order selection.
Return the order of the lowest order digital or analog elliptic filter
that loses no more than `gpass` dB in the passband and has at least
`gstop` dB attenuation in the stopband.
Parameters
----------... | [
"def",
"ellipord",
"(",
"wp",
",",
"ws",
",",
"gpass",
",",
"gstop",
",",
"analog",
"=",
"False",
")",
":",
"wp",
"=",
"atleast_1d",
"(",
"wp",
")",
"ws",
"=",
"atleast_1d",
"(",
"ws",
")",
"filter_type",
"=",
"2",
"*",
"(",
"len",
"(",
"wp",
"... | https://github.com/catboost/catboost/blob/167f64f237114a4d10b2b4ee42adb4569137debe/contrib/python/scipy/scipy/signal/filter_design.py#L3018-L3138 | |
catboost/catboost | 167f64f237114a4d10b2b4ee42adb4569137debe | contrib/python/scikit-learn/py3/sklearn/discriminant_analysis.py | python | LinearDiscriminantAnalysis.transform | (self, X) | return X_new[:, :self._max_components] | Project data to maximize class separation.
Parameters
----------
X : array-like, shape (n_samples, n_features)
Input data.
Returns
-------
X_new : array, shape (n_samples, n_components)
Transformed data. | Project data to maximize class separation. | [
"Project",
"data",
"to",
"maximize",
"class",
"separation",
"."
] | def transform(self, X):
"""Project data to maximize class separation.
Parameters
----------
X : array-like, shape (n_samples, n_features)
Input data.
Returns
-------
X_new : array, shape (n_samples, n_components)
Transformed data.
... | [
"def",
"transform",
"(",
"self",
",",
"X",
")",
":",
"if",
"self",
".",
"solver",
"==",
"'lsqr'",
":",
"raise",
"NotImplementedError",
"(",
"\"transform not implemented for 'lsqr' \"",
"\"solver (use 'svd' or 'eigen').\"",
")",
"check_is_fitted",
"(",
"self",
")",
"... | https://github.com/catboost/catboost/blob/167f64f237114a4d10b2b4ee42adb4569137debe/contrib/python/scikit-learn/py3/sklearn/discriminant_analysis.py#L492-L516 | |
catboost/catboost | 167f64f237114a4d10b2b4ee42adb4569137debe | contrib/python/scikit-learn/py3/sklearn/linear_model/_stochastic_gradient.py | python | BaseSGDClassifier._fit_binary | (self, X, y, alpha, C, sample_weight,
learning_rate, max_iter) | Fit a binary classifier on X and y. | Fit a binary classifier on X and y. | [
"Fit",
"a",
"binary",
"classifier",
"on",
"X",
"and",
"y",
"."
] | def _fit_binary(self, X, y, alpha, C, sample_weight,
learning_rate, max_iter):
"""Fit a binary classifier on X and y. """
coef, intercept, n_iter_ = fit_binary(self, 1, X, y, alpha, C,
learning_rate, max_iter,
... | [
"def",
"_fit_binary",
"(",
"self",
",",
"X",
",",
"y",
",",
"alpha",
",",
"C",
",",
"sample_weight",
",",
"learning_rate",
",",
"max_iter",
")",
":",
"coef",
",",
"intercept",
",",
"n_iter_",
"=",
"fit_binary",
"(",
"self",
",",
"1",
",",
"X",
",",
... | https://github.com/catboost/catboost/blob/167f64f237114a4d10b2b4ee42adb4569137debe/contrib/python/scikit-learn/py3/sklearn/linear_model/_stochastic_gradient.py#L560-L585 | ||
hanpfei/chromium-net | 392cc1fa3a8f92f42e4071ab6e674d8e0482f83f | third_party/protobuf/python/google/protobuf/proto_builder.py | python | _MakeFileDescriptorProto | (proto_file_name, full_name, field_items) | return file_proto | Populate FileDescriptorProto for MessageFactory's DescriptorPool. | Populate FileDescriptorProto for MessageFactory's DescriptorPool. | [
"Populate",
"FileDescriptorProto",
"for",
"MessageFactory",
"s",
"DescriptorPool",
"."
] | def _MakeFileDescriptorProto(proto_file_name, full_name, field_items):
"""Populate FileDescriptorProto for MessageFactory's DescriptorPool."""
package, name = full_name.rsplit('.', 1)
file_proto = descriptor_pb2.FileDescriptorProto()
file_proto.name = os.path.join(package.replace('.', '/'), proto_file_name)
f... | [
"def",
"_MakeFileDescriptorProto",
"(",
"proto_file_name",
",",
"full_name",
",",
"field_items",
")",
":",
"package",
",",
"name",
"=",
"full_name",
".",
"rsplit",
"(",
"'.'",
",",
"1",
")",
"file_proto",
"=",
"descriptor_pb2",
".",
"FileDescriptorProto",
"(",
... | https://github.com/hanpfei/chromium-net/blob/392cc1fa3a8f92f42e4071ab6e674d8e0482f83f/third_party/protobuf/python/google/protobuf/proto_builder.py#L116-L130 | |
wxWidgets/wxPython-Classic | 19571e1ae65f1ac445f5491474121998c97a1bf0 | src/osx_carbon/_core.py | python | Size.IncTo | (*args, **kwargs) | return _core_.Size_IncTo(*args, **kwargs) | IncTo(self, Size sz)
Increments this object so that both of its dimensions are not less
than the corresponding dimensions of the size. | IncTo(self, Size sz) | [
"IncTo",
"(",
"self",
"Size",
"sz",
")"
] | def IncTo(*args, **kwargs):
"""
IncTo(self, Size sz)
Increments this object so that both of its dimensions are not less
than the corresponding dimensions of the size.
"""
return _core_.Size_IncTo(*args, **kwargs) | [
"def",
"IncTo",
"(",
"*",
"args",
",",
"*",
"*",
"kwargs",
")",
":",
"return",
"_core_",
".",
"Size_IncTo",
"(",
"*",
"args",
",",
"*",
"*",
"kwargs",
")"
] | https://github.com/wxWidgets/wxPython-Classic/blob/19571e1ae65f1ac445f5491474121998c97a1bf0/src/osx_carbon/_core.py#L976-L983 | |
wlanjie/AndroidFFmpeg | 7baf9122f4b8e1c74e7baf4be5c422c7a5ba5aaf | tools/fdk-aac-build/x86/toolchain/lib/python2.7/py_compile.py | python | compile | (file, cfile=None, dfile=None, doraise=False) | Byte-compile one Python source file to Python bytecode.
Arguments:
file: source filename
cfile: target filename; defaults to source with 'c' or 'o' appended
('c' normally, 'o' in optimizing mode, giving .pyc or .pyo)
dfile: purported filename; defaults to source (this is the filena... | Byte-compile one Python source file to Python bytecode. | [
"Byte",
"-",
"compile",
"one",
"Python",
"source",
"file",
"to",
"Python",
"bytecode",
"."
] | def compile(file, cfile=None, dfile=None, doraise=False):
"""Byte-compile one Python source file to Python bytecode.
Arguments:
file: source filename
cfile: target filename; defaults to source with 'c' or 'o' appended
('c' normally, 'o' in optimizing mode, giving .pyc or .pyo)
df... | [
"def",
"compile",
"(",
"file",
",",
"cfile",
"=",
"None",
",",
"dfile",
"=",
"None",
",",
"doraise",
"=",
"False",
")",
":",
"with",
"open",
"(",
"file",
",",
"'U'",
")",
"as",
"f",
":",
"try",
":",
"timestamp",
"=",
"long",
"(",
"os",
".",
"fs... | https://github.com/wlanjie/AndroidFFmpeg/blob/7baf9122f4b8e1c74e7baf4be5c422c7a5ba5aaf/tools/fdk-aac-build/x86/toolchain/lib/python2.7/py_compile.py#L71-L129 | ||
pytorch/pytorch | 7176c92687d3cc847cc046bf002269c6949a21c2 | torch/nn/utils/prune.py | python | BasePruningMethod.remove | (self, module) | r"""Removes the pruning reparameterization from a module. The pruned
parameter named ``name`` remains permanently pruned, and the parameter
named ``name+'_orig'`` is removed from the parameter list. Similarly,
the buffer named ``name+'_mask'`` is removed from the buffers.
Note:
... | r"""Removes the pruning reparameterization from a module. The pruned
parameter named ``name`` remains permanently pruned, and the parameter
named ``name+'_orig'`` is removed from the parameter list. Similarly,
the buffer named ``name+'_mask'`` is removed from the buffers. | [
"r",
"Removes",
"the",
"pruning",
"reparameterization",
"from",
"a",
"module",
".",
"The",
"pruned",
"parameter",
"named",
"name",
"remains",
"permanently",
"pruned",
"and",
"the",
"parameter",
"named",
"name",
"+",
"_orig",
"is",
"removed",
"from",
"the",
"pa... | def remove(self, module):
r"""Removes the pruning reparameterization from a module. The pruned
parameter named ``name`` remains permanently pruned, and the parameter
named ``name+'_orig'`` is removed from the parameter list. Similarly,
the buffer named ``name+'_mask'`` is removed from th... | [
"def",
"remove",
"(",
"self",
",",
"module",
")",
":",
"# before removing pruning from a tensor, it has to have been applied",
"assert",
"(",
"self",
".",
"_tensor_name",
"is",
"not",
"None",
")",
",",
"\"Module {} has to be pruned\\\n before pruning can be removed\"... | https://github.com/pytorch/pytorch/blob/7176c92687d3cc847cc046bf002269c6949a21c2/torch/nn/utils/prune.py#L238-L265 | ||
nasa/fprime | 595cf3682d8365943d86c1a6fe7c78f0a116acf0 | Autocoders/Python/src/fprime_ac/generators/visitors/ComponentVisitorBase.py | python | ComponentVisitorBase.emitPortParamsHpp | (self, indent, params) | return self.emitParams(self.portParamStrsHpp, indent, params) | Emit a list of port function parameters in a .hpp file | Emit a list of port function parameters in a .hpp file | [
"Emit",
"a",
"list",
"of",
"port",
"function",
"parameters",
"in",
"a",
".",
"hpp",
"file"
] | def emitPortParamsHpp(self, indent, params):
"""
Emit a list of port function parameters in a .hpp file
"""
return self.emitParams(self.portParamStrsHpp, indent, params) | [
"def",
"emitPortParamsHpp",
"(",
"self",
",",
"indent",
",",
"params",
")",
":",
"return",
"self",
".",
"emitParams",
"(",
"self",
".",
"portParamStrsHpp",
",",
"indent",
",",
"params",
")"
] | https://github.com/nasa/fprime/blob/595cf3682d8365943d86c1a6fe7c78f0a116acf0/Autocoders/Python/src/fprime_ac/generators/visitors/ComponentVisitorBase.py#L199-L203 | |
catboost/catboost | 167f64f237114a4d10b2b4ee42adb4569137debe | contrib/python/scikit-learn/py3/sklearn/decomposition/_pca.py | python | PCA.fit_transform | (self, X, y=None) | return U | Fit the model with X and apply the dimensionality reduction on X.
Parameters
----------
X : array-like, shape (n_samples, n_features)
Training data, where n_samples is the number of samples
and n_features is the number of features.
y : None
Ignored v... | Fit the model with X and apply the dimensionality reduction on X. | [
"Fit",
"the",
"model",
"with",
"X",
"and",
"apply",
"the",
"dimensionality",
"reduction",
"on",
"X",
"."
] | def fit_transform(self, X, y=None):
"""Fit the model with X and apply the dimensionality reduction on X.
Parameters
----------
X : array-like, shape (n_samples, n_features)
Training data, where n_samples is the number of samples
and n_features is the number of fe... | [
"def",
"fit_transform",
"(",
"self",
",",
"X",
",",
"y",
"=",
"None",
")",
":",
"U",
",",
"S",
",",
"V",
"=",
"self",
".",
"_fit",
"(",
"X",
")",
"U",
"=",
"U",
"[",
":",
",",
":",
"self",
".",
"n_components_",
"]",
"if",
"self",
".",
"whit... | https://github.com/catboost/catboost/blob/167f64f237114a4d10b2b4ee42adb4569137debe/contrib/python/scikit-learn/py3/sklearn/decomposition/_pca.py#L347-L379 | |
okex/V3-Open-API-SDK | c5abb0db7e2287718e0055e17e57672ce0ec7fd9 | okex-python-sdk-api/venv/Lib/site-packages/pip-19.0.3-py3.8.egg/pip/_vendor/pyparsing.py | python | nullDebugAction | (*args) | Do-nothing' debug action, to suppress debugging output during parsing. | Do-nothing' debug action, to suppress debugging output during parsing. | [
"Do",
"-",
"nothing",
"debug",
"action",
"to",
"suppress",
"debugging",
"output",
"during",
"parsing",
"."
] | def nullDebugAction(*args):
"""'Do-nothing' debug action, to suppress debugging output during parsing."""
pass | [
"def",
"nullDebugAction",
"(",
"*",
"args",
")",
":",
"pass"
] | https://github.com/okex/V3-Open-API-SDK/blob/c5abb0db7e2287718e0055e17e57672ce0ec7fd9/okex-python-sdk-api/venv/Lib/site-packages/pip-19.0.3-py3.8.egg/pip/_vendor/pyparsing.py#L1143-L1145 | ||
wxWidgets/wxPython-Classic | 19571e1ae65f1ac445f5491474121998c97a1bf0 | src/msw/_core.py | python | Window.SetDimensions | (*args, **kwargs) | return _core_.Window_SetDimensions(*args, **kwargs) | SetDimensions(self, int x, int y, int width, int height, int sizeFlags=SIZE_AUTO)
Sets the position and size of the window in pixels. The sizeFlags
parameter indicates the interpretation of the other params if they are
equal to -1.
======================== =======================... | SetDimensions(self, int x, int y, int width, int height, int sizeFlags=SIZE_AUTO) | [
"SetDimensions",
"(",
"self",
"int",
"x",
"int",
"y",
"int",
"width",
"int",
"height",
"int",
"sizeFlags",
"=",
"SIZE_AUTO",
")"
] | def SetDimensions(*args, **kwargs):
"""
SetDimensions(self, int x, int y, int width, int height, int sizeFlags=SIZE_AUTO)
Sets the position and size of the window in pixels. The sizeFlags
parameter indicates the interpretation of the other params if they are
equal to -1.
... | [
"def",
"SetDimensions",
"(",
"*",
"args",
",",
"*",
"*",
"kwargs",
")",
":",
"return",
"_core_",
".",
"Window_SetDimensions",
"(",
"*",
"args",
",",
"*",
"*",
"kwargs",
")"
] | https://github.com/wxWidgets/wxPython-Classic/blob/19571e1ae65f1ac445f5491474121998c97a1bf0/src/msw/_core.py#L9336-L9355 | |
catboost/catboost | 167f64f237114a4d10b2b4ee42adb4569137debe | contrib/python/numpy/py2/numpy/ma/core.py | python | _DomainGreaterEqual.__call__ | (self, x) | Executes the call behavior. | Executes the call behavior. | [
"Executes",
"the",
"call",
"behavior",
"."
] | def __call__(self, x):
"Executes the call behavior."
with np.errstate(invalid='ignore'):
return umath.less(x, self.critical_value) | [
"def",
"__call__",
"(",
"self",
",",
"x",
")",
":",
"with",
"np",
".",
"errstate",
"(",
"invalid",
"=",
"'ignore'",
")",
":",
"return",
"umath",
".",
"less",
"(",
"x",
",",
"self",
".",
"critical_value",
")"
] | https://github.com/catboost/catboost/blob/167f64f237114a4d10b2b4ee42adb4569137debe/contrib/python/numpy/py2/numpy/ma/core.py#L885-L888 | ||
Polidea/SiriusObfuscator | b0e590d8130e97856afe578869b83a209e2b19be | SymbolExtractorAndRenamer/lldb/scripts/Python/static-binding/lldb.py | python | SBExpressionOptions.SetREPLMode | (self, enable_repl = True) | return _lldb.SBExpressionOptions_SetREPLMode(self, enable_repl) | SetREPLMode(self, bool enable_repl = True)
SetREPLMode(self) | SetREPLMode(self, bool enable_repl = True)
SetREPLMode(self) | [
"SetREPLMode",
"(",
"self",
"bool",
"enable_repl",
"=",
"True",
")",
"SetREPLMode",
"(",
"self",
")"
] | def SetREPLMode(self, enable_repl = True):
"""
SetREPLMode(self, bool enable_repl = True)
SetREPLMode(self)
"""
return _lldb.SBExpressionOptions_SetREPLMode(self, enable_repl) | [
"def",
"SetREPLMode",
"(",
"self",
",",
"enable_repl",
"=",
"True",
")",
":",
"return",
"_lldb",
".",
"SBExpressionOptions_SetREPLMode",
"(",
"self",
",",
"enable_repl",
")"
] | https://github.com/Polidea/SiriusObfuscator/blob/b0e590d8130e97856afe578869b83a209e2b19be/SymbolExtractorAndRenamer/lldb/scripts/Python/static-binding/lldb.py#L4189-L4194 | |
wlanjie/AndroidFFmpeg | 7baf9122f4b8e1c74e7baf4be5c422c7a5ba5aaf | tools/fdk-aac-build/armeabi-v7a/toolchain/lib/python2.7/codecs.py | python | StreamReader.readlines | (self, sizehint=None, keepends=True) | return data.splitlines(keepends) | Read all lines available on the input stream
and return them as list of lines.
Line breaks are implemented using the codec's decoder
method and are included in the list entries.
sizehint, if given, is ignored since there is no efficient
way to finding the tr... | Read all lines available on the input stream
and return them as list of lines. | [
"Read",
"all",
"lines",
"available",
"on",
"the",
"input",
"stream",
"and",
"return",
"them",
"as",
"list",
"of",
"lines",
"."
] | def readlines(self, sizehint=None, keepends=True):
""" Read all lines available on the input stream
and return them as list of lines.
Line breaks are implemented using the codec's decoder
method and are included in the list entries.
sizehint, if given, is ignor... | [
"def",
"readlines",
"(",
"self",
",",
"sizehint",
"=",
"None",
",",
"keepends",
"=",
"True",
")",
":",
"data",
"=",
"self",
".",
"read",
"(",
")",
"return",
"data",
".",
"splitlines",
"(",
"keepends",
")"
] | https://github.com/wlanjie/AndroidFFmpeg/blob/7baf9122f4b8e1c74e7baf4be5c422c7a5ba5aaf/tools/fdk-aac-build/armeabi-v7a/toolchain/lib/python2.7/codecs.py#L576-L589 | |
windystrife/UnrealEngine_NVIDIAGameWorks | b50e6338a7c5b26374d66306ebc7807541ff815e | Engine/Extras/ThirdPartyNotUE/emsdk/Win64/python/2.7.5.3_64bit/Lib/fractions.py | python | Fraction._sub | (a, b) | return Fraction(a.numerator * b.denominator -
b.numerator * a.denominator,
a.denominator * b.denominator) | a - b | a - b | [
"a",
"-",
"b"
] | def _sub(a, b):
"""a - b"""
return Fraction(a.numerator * b.denominator -
b.numerator * a.denominator,
a.denominator * b.denominator) | [
"def",
"_sub",
"(",
"a",
",",
"b",
")",
":",
"return",
"Fraction",
"(",
"a",
".",
"numerator",
"*",
"b",
".",
"denominator",
"-",
"b",
".",
"numerator",
"*",
"a",
".",
"denominator",
",",
"a",
".",
"denominator",
"*",
"b",
".",
"denominator",
")"
] | https://github.com/windystrife/UnrealEngine_NVIDIAGameWorks/blob/b50e6338a7c5b26374d66306ebc7807541ff815e/Engine/Extras/ThirdPartyNotUE/emsdk/Win64/python/2.7.5.3_64bit/Lib/fractions.py#L395-L399 | |
Manu343726/siplasplas | 9fae7559f87087cf8ef34f04bd1e774b84b2ea9c | reference/cindex.py | python | Type.is_restrict_qualified | (self) | return conf.lib.clang_isRestrictQualifiedType(self) | Determine whether a Type has the "restrict" qualifier set.
This does not look through typedefs that may have added "restrict" at
a different level. | Determine whether a Type has the "restrict" qualifier set. | [
"Determine",
"whether",
"a",
"Type",
"has",
"the",
"restrict",
"qualifier",
"set",
"."
] | def is_restrict_qualified(self):
"""Determine whether a Type has the "restrict" qualifier set.
This does not look through typedefs that may have added "restrict" at
a different level.
"""
return conf.lib.clang_isRestrictQualifiedType(self) | [
"def",
"is_restrict_qualified",
"(",
"self",
")",
":",
"return",
"conf",
".",
"lib",
".",
"clang_isRestrictQualifiedType",
"(",
"self",
")"
] | https://github.com/Manu343726/siplasplas/blob/9fae7559f87087cf8ef34f04bd1e774b84b2ea9c/reference/cindex.py#L1877-L1883 | |
ApolloAuto/apollo-platform | 86d9dc6743b496ead18d597748ebabd34a513289 | ros/third_party/lib_x86_64/python2.7/dist-packages/numpy/oldnumeric/ma.py | python | MaskedArray.__array__ | (self, t=None, context=None) | Special hook for numeric. Converts to numeric if possible. | Special hook for numeric. Converts to numeric if possible. | [
"Special",
"hook",
"for",
"numeric",
".",
"Converts",
"to",
"numeric",
"if",
"possible",
"."
] | def __array__ (self, t=None, context=None):
"Special hook for numeric. Converts to numeric if possible."
if self._mask is not nomask:
if fromnumeric.ravel(self._mask).any():
if context is None:
warnings.warn("Cannot automatically convert masked array to "\... | [
"def",
"__array__",
"(",
"self",
",",
"t",
"=",
"None",
",",
"context",
"=",
"None",
")",
":",
"if",
"self",
".",
"_mask",
"is",
"not",
"nomask",
":",
"if",
"fromnumeric",
".",
"ravel",
"(",
"self",
".",
"_mask",
")",
".",
"any",
"(",
")",
":",
... | https://github.com/ApolloAuto/apollo-platform/blob/86d9dc6743b496ead18d597748ebabd34a513289/ros/third_party/lib_x86_64/python2.7/dist-packages/numpy/oldnumeric/ma.py#L620-L646 | ||
pmq20/node-packer | 12c46c6e44fbc14d9ee645ebd17d5296b324f7e0 | current/tools/gyp/pylib/gyp/xcodeproj_file.py | python | XCConfigurationList.SetBaseConfiguration | (self, value) | Sets the build configuration in all child XCBuildConfiguration objects. | Sets the build configuration in all child XCBuildConfiguration objects. | [
"Sets",
"the",
"build",
"configuration",
"in",
"all",
"child",
"XCBuildConfiguration",
"objects",
"."
] | def SetBaseConfiguration(self, value):
"""Sets the build configuration in all child XCBuildConfiguration objects.
"""
for configuration in self._properties['buildConfigurations']:
configuration.SetBaseConfiguration(value) | [
"def",
"SetBaseConfiguration",
"(",
"self",
",",
"value",
")",
":",
"for",
"configuration",
"in",
"self",
".",
"_properties",
"[",
"'buildConfigurations'",
"]",
":",
"configuration",
".",
"SetBaseConfiguration",
"(",
"value",
")"
] | https://github.com/pmq20/node-packer/blob/12c46c6e44fbc14d9ee645ebd17d5296b324f7e0/current/tools/gyp/pylib/gyp/xcodeproj_file.py#L1691-L1696 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.