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
google/mozc
7329757e1ad30e327c1ae823a8302c79482d6b9c
src/base/gen_config_file_stream_data.py
python
GenerateFileData
(path)
return ''.join(result)
r"""Generate FileData entry from given file path. The generated FileData entry looks as follows: { "something_original_file_path", "\xAA\xBB\xCC", 3 } Args: path: a filepath to be converted into FileData. Returns: Generated code of a FileData entry.
r"""Generate FileData entry from given file path.
[ "r", "Generate", "FileData", "entry", "from", "given", "file", "path", "." ]
def GenerateFileData(path): r"""Generate FileData entry from given file path. The generated FileData entry looks as follows: { "something_original_file_path", "\xAA\xBB\xCC", 3 } Args: path: a filepath to be converted into FileData. Returns: Generated code of a FileData entry. """ result = [] ...
[ "def", "GenerateFileData", "(", "path", ")", ":", "result", "=", "[", "]", "result", ".", "append", "(", "' { \"%s\", \"'", "%", "os", ".", "path", ".", "basename", "(", "path", ")", ")", "with", "open", "(", "path", ",", "'rb'", ")", "as", "stream"...
https://github.com/google/mozc/blob/7329757e1ad30e327c1ae823a8302c79482d6b9c/src/base/gen_config_file_stream_data.py#L48-L66
ApolloAuto/apollo-platform
86d9dc6743b496ead18d597748ebabd34a513289
ros/third_party/lib_x86_64/python2.7/dist-packages/geographic_msgs/msg/_GeoPose.py
python
GeoPose.__init__
(self, *args, **kwds)
Constructor. Any message fields that are implicitly/explicitly set to None will be assigned a default value. The recommend use is keyword arguments as this is more robust to future message changes. You cannot mix in-order arguments and keyword arguments. The available fields are: position,orien...
Constructor. Any message fields that are implicitly/explicitly set to None will be assigned a default value. The recommend use is keyword arguments as this is more robust to future message changes. You cannot mix in-order arguments and keyword arguments.
[ "Constructor", ".", "Any", "message", "fields", "that", "are", "implicitly", "/", "explicitly", "set", "to", "None", "will", "be", "assigned", "a", "default", "value", ".", "The", "recommend", "use", "is", "keyword", "arguments", "as", "this", "is", "more", ...
def __init__(self, *args, **kwds): """ Constructor. Any message fields that are implicitly/explicitly set to None will be assigned a default value. The recommend use is keyword arguments as this is more robust to future message changes. You cannot mix in-order arguments and keyword arguments. ...
[ "def", "__init__", "(", "self", ",", "*", "args", ",", "*", "*", "kwds", ")", ":", "if", "args", "or", "kwds", ":", "super", "(", "GeoPose", ",", "self", ")", ".", "__init__", "(", "*", "args", ",", "*", "*", "kwds", ")", "#message fields cannot be...
https://github.com/ApolloAuto/apollo-platform/blob/86d9dc6743b496ead18d597748ebabd34a513289/ros/third_party/lib_x86_64/python2.7/dist-packages/geographic_msgs/msg/_GeoPose.py#L52-L75
wujixiu/helmet-detection
8eff5c59ddfba5a29e0b76aeb48babcb49246178
hardhat-wearing-detection/SSD-RPA/scripts/cpp_lint.py
python
CheckForFunctionLengths
(filename, clean_lines, linenum, function_state, error)
Reports for long function bodies. For an overview why this is done, see: http://google-styleguide.googlecode.com/svn/trunk/cppguide.xml#Write_Short_Functions Uses a simplistic algorithm assuming other style guidelines (especially spacing) are followed. Only checks unindented functions, so class members are ...
Reports for long function bodies.
[ "Reports", "for", "long", "function", "bodies", "." ]
def CheckForFunctionLengths(filename, clean_lines, linenum, function_state, error): """Reports for long function bodies. For an overview why this is done, see: http://google-styleguide.googlecode.com/svn/trunk/cppguide.xml#Write_Short_Functions Uses a simplistic algorithm assuming ...
[ "def", "CheckForFunctionLengths", "(", "filename", ",", "clean_lines", ",", "linenum", ",", "function_state", ",", "error", ")", ":", "lines", "=", "clean_lines", ".", "lines", "line", "=", "lines", "[", "linenum", "]", "raw", "=", "clean_lines", ".", "raw_l...
https://github.com/wujixiu/helmet-detection/blob/8eff5c59ddfba5a29e0b76aeb48babcb49246178/hardhat-wearing-detection/SSD-RPA/scripts/cpp_lint.py#L2388-L2455
aws/lumberyard
f85344403c1c2e77ec8c75deb2c116e97b713217
dev/Gems/CloudGemMetric/v1/AWS/python/windows/Lib/numba/controlflow.py
python
CFGraph.exit_points
(self)
return self._exit_points
Return the computed set of exit nodes (may be empty).
Return the computed set of exit nodes (may be empty).
[ "Return", "the", "computed", "set", "of", "exit", "nodes", "(", "may", "be", "empty", ")", "." ]
def exit_points(self): """ Return the computed set of exit nodes (may be empty). """ return self._exit_points
[ "def", "exit_points", "(", "self", ")", ":", "return", "self", ".", "_exit_points" ]
https://github.com/aws/lumberyard/blob/f85344403c1c2e77ec8c75deb2c116e97b713217/dev/Gems/CloudGemMetric/v1/AWS/python/windows/Lib/numba/controlflow.py#L197-L201
gabyx/ApproxMVBB
838f3ff7690a938f1e4199a5f41b6feefc32a603
example/kdTreeFiltering/python/Tools/Transformations/Transformations.py
python
random_vector
(size)
return numpy.random.random(size)
Return array of random doubles in the half-open interval [0.0, 1.0). >>> v = random_vector(10000) >>> numpy.all(v >= 0) and numpy.all(v < 1) True >>> v0 = random_vector(10) >>> v1 = random_vector(10) >>> numpy.any(v0 == v1) False
Return array of random doubles in the half-open interval [0.0, 1.0).
[ "Return", "array", "of", "random", "doubles", "in", "the", "half", "-", "open", "interval", "[", "0", ".", "0", "1", ".", "0", ")", "." ]
def random_vector(size): """Return array of random doubles in the half-open interval [0.0, 1.0). >>> v = random_vector(10000) >>> numpy.all(v >= 0) and numpy.all(v < 1) True >>> v0 = random_vector(10) >>> v1 = random_vector(10) >>> numpy.any(v0 == v1) False """ return numpy.ran...
[ "def", "random_vector", "(", "size", ")", ":", "return", "numpy", ".", "random", ".", "random", "(", "size", ")" ]
https://github.com/gabyx/ApproxMVBB/blob/838f3ff7690a938f1e4199a5f41b6feefc32a603/example/kdTreeFiltering/python/Tools/Transformations/Transformations.py#L1757-L1769
tensorflow/tensorflow
419e3a6b650ea4bd1b0cba23c4348f8a69f3272e
tensorflow/python/keras/engine/training_v1.py
python
Model._in_multi_worker_mode
(self)
return strategy and strategy.extended._in_multi_worker_mode()
Method to infer if this `Model` is working in multi-worker settings. Multi-worker training refers to the setup where the training is distributed across multiple workers, as opposed to the case where only a local process performs the training. This function is used to infer for example whether or not a ...
Method to infer if this `Model` is working in multi-worker settings.
[ "Method", "to", "infer", "if", "this", "Model", "is", "working", "in", "multi", "-", "worker", "settings", "." ]
def _in_multi_worker_mode(self): """Method to infer if this `Model` is working in multi-worker settings. Multi-worker training refers to the setup where the training is distributed across multiple workers, as opposed to the case where only a local process performs the training. This function is use...
[ "def", "_in_multi_worker_mode", "(", "self", ")", ":", "strategy", "=", "self", ".", "_distribution_strategy", "# Otherwise, use the strategy whose scope this is in.", "if", "not", "strategy", "and", "distribution_strategy_context", ".", "has_strategy", "(", ")", ":", "st...
https://github.com/tensorflow/tensorflow/blob/419e3a6b650ea4bd1b0cba23c4348f8a69f3272e/tensorflow/python/keras/engine/training_v1.py#L2800-L2821
wxWidgets/wxPython-Classic
19571e1ae65f1ac445f5491474121998c97a1bf0
wx/lib/pubsub/core/topicdefnprovider.py
python
ITopicDefnProvider.topicNames
(self)
Return an iterator over topic names available from this provider. Note that the topic names should be in tuple rather than dotted-string format so as to be compatible with getDefn().
Return an iterator over topic names available from this provider. Note that the topic names should be in tuple rather than dotted-string format so as to be compatible with getDefn().
[ "Return", "an", "iterator", "over", "topic", "names", "available", "from", "this", "provider", ".", "Note", "that", "the", "topic", "names", "should", "be", "in", "tuple", "rather", "than", "dotted", "-", "string", "format", "so", "as", "to", "be", "compat...
def topicNames(self): """Return an iterator over topic names available from this provider. Note that the topic names should be in tuple rather than dotted-string format so as to be compatible with getDefn().""" msg = 'Must return a list of topic names available from this provider' ...
[ "def", "topicNames", "(", "self", ")", ":", "msg", "=", "'Must return a list of topic names available from this provider'", "raise", "NotImplementedError", "(", "msg", ")" ]
https://github.com/wxWidgets/wxPython-Classic/blob/19571e1ae65f1ac445f5491474121998c97a1bf0/wx/lib/pubsub/core/topicdefnprovider.py#L37-L42
hanpfei/chromium-net
392cc1fa3a8f92f42e4071ab6e674d8e0482f83f
third_party/catapult/third_party/webapp2/webapp2_extras/routes.py
python
NamePrefixRoute.__init__
(self, prefix, routes)
Initializes a URL route. :param prefix: The prefix to be prepended. :param routes: A list of :class:`webapp2.Route` instances.
Initializes a URL route.
[ "Initializes", "a", "URL", "route", "." ]
def __init__(self, prefix, routes): """Initializes a URL route. :param prefix: The prefix to be prepended. :param routes: A list of :class:`webapp2.Route` instances. """ super(NamePrefixRoute, self).__init__(routes) self.prefix = prefix # ...
[ "def", "__init__", "(", "self", ",", "prefix", ",", "routes", ")", ":", "super", "(", "NamePrefixRoute", ",", "self", ")", ".", "__init__", "(", "routes", ")", "self", ".", "prefix", "=", "prefix", "# Prepend a prefix to a route attribute.", "for", "route", ...
https://github.com/hanpfei/chromium-net/blob/392cc1fa3a8f92f42e4071ab6e674d8e0482f83f/third_party/catapult/third_party/webapp2/webapp2_extras/routes.py#L145-L157
wxWidgets/wxPython-Classic
19571e1ae65f1ac445f5491474121998c97a1bf0
src/msw/_gdi.py
python
PseudoDC.DrawRotatedText
(*args, **kwargs)
return _gdi_.PseudoDC_DrawRotatedText(*args, **kwargs)
DrawRotatedText(self, String text, int x, int y, double angle) Draws the text rotated by *angle* degrees, if supported by the platform. **NOTE**: Under Win9x only TrueType fonts can be drawn by this function. In particular, a font different from ``wx.NORMAL_FONT`` should be used as the...
DrawRotatedText(self, String text, int x, int y, double angle)
[ "DrawRotatedText", "(", "self", "String", "text", "int", "x", "int", "y", "double", "angle", ")" ]
def DrawRotatedText(*args, **kwargs): """ DrawRotatedText(self, String text, int x, int y, double angle) Draws the text rotated by *angle* degrees, if supported by the platform. **NOTE**: Under Win9x only TrueType fonts can be drawn by this function. In particular, a font diffe...
[ "def", "DrawRotatedText", "(", "*", "args", ",", "*", "*", "kwargs", ")", ":", "return", "_gdi_", ".", "PseudoDC_DrawRotatedText", "(", "*", "args", ",", "*", "*", "kwargs", ")" ]
https://github.com/wxWidgets/wxPython-Classic/blob/19571e1ae65f1ac445f5491474121998c97a1bf0/src/msw/_gdi.py#L8286-L8297
KhronosGroup/Vulkan-Headers
b32da5329b50e3cb96229aaecba9ded032fe29cc
registry/generator.py
python
regSortFeatureVersionKey
(feature)
return float(feature.versionNumber)
Sort key for regSortFeatures - key is the feature version. `<extension>` elements all have version number 0.
Sort key for regSortFeatures - key is the feature version. `<extension>` elements all have version number 0.
[ "Sort", "key", "for", "regSortFeatures", "-", "key", "is", "the", "feature", "version", ".", "<extension", ">", "elements", "all", "have", "version", "number", "0", "." ]
def regSortFeatureVersionKey(feature): """Sort key for regSortFeatures - key is the feature version. `<extension>` elements all have version number 0.""" return float(feature.versionNumber)
[ "def", "regSortFeatureVersionKey", "(", "feature", ")", ":", "return", "float", "(", "feature", ".", "versionNumber", ")" ]
https://github.com/KhronosGroup/Vulkan-Headers/blob/b32da5329b50e3cb96229aaecba9ded032fe29cc/registry/generator.py#L81-L85
oracle/graaljs
36a56e8e993d45fc40939a3a4d9c0c24990720f1
graal-nodejs/deps/npm/node_modules/node-gyp/gyp/pylib/gyp/xcode_ninja.py
python
IsValidTargetForWrapper
(target_extras, executable_target_pattern, spec)
return False
Limit targets for Xcode wrapper. Xcode sometimes performs poorly with too many targets, so only include proper executable targets, with filters to customize. Arguments: target_extras: Regular expression to always add, matching any target. executable_target_pattern: Regular expression limiting executable ...
Limit targets for Xcode wrapper.
[ "Limit", "targets", "for", "Xcode", "wrapper", "." ]
def IsValidTargetForWrapper(target_extras, executable_target_pattern, spec): """Limit targets for Xcode wrapper. Xcode sometimes performs poorly with too many targets, so only include proper executable targets, with filters to customize. Arguments: target_extras: Regular expression to always add, matchin...
[ "def", "IsValidTargetForWrapper", "(", "target_extras", ",", "executable_target_pattern", ",", "spec", ")", ":", "target_name", "=", "spec", ".", "get", "(", "\"target_name\"", ")", "# Always include targets matching target_extras.", "if", "target_extras", "is", "not", ...
https://github.com/oracle/graaljs/blob/36a56e8e993d45fc40939a3a4d9c0c24990720f1/graal-nodejs/deps/npm/node_modules/node-gyp/gyp/pylib/gyp/xcode_ninja.py#L137-L163
aws/lumberyard
f85344403c1c2e77ec8c75deb2c116e97b713217
dev/Tools/Python/3.7.10/mac/Python.framework/Versions/3.7/lib/python3.7/ctypes/_aix.py
python
get_ld_headers
(file)
return ldr_headers
Parse the header of the loader section of executable and archives This function calls /usr/bin/dump -H as a subprocess and returns a list of (ld_header, ld_header_info) tuples.
Parse the header of the loader section of executable and archives This function calls /usr/bin/dump -H as a subprocess and returns a list of (ld_header, ld_header_info) tuples.
[ "Parse", "the", "header", "of", "the", "loader", "section", "of", "executable", "and", "archives", "This", "function", "calls", "/", "usr", "/", "bin", "/", "dump", "-", "H", "as", "a", "subprocess", "and", "returns", "a", "list", "of", "(", "ld_header",...
def get_ld_headers(file): """ Parse the header of the loader section of executable and archives This function calls /usr/bin/dump -H as a subprocess and returns a list of (ld_header, ld_header_info) tuples. """ # get_ld_headers parsing: # 1. Find a line that starts with /, ./, or ../ - set a...
[ "def", "get_ld_headers", "(", "file", ")", ":", "# get_ld_headers parsing:", "# 1. Find a line that starts with /, ./, or ../ - set as ld_header", "# 2. If \"INDEX\" in occurs in a following line - return ld_header", "# 3. get info (lines starting with [0-9])", "ldr_headers", "=", "[", "]"...
https://github.com/aws/lumberyard/blob/f85344403c1c2e77ec8c75deb2c116e97b713217/dev/Tools/Python/3.7.10/mac/Python.framework/Versions/3.7/lib/python3.7/ctypes/_aix.py#L97-L119
catboost/catboost
167f64f237114a4d10b2b4ee42adb4569137debe
contrib/tools/python/src/Lib/lib-tk/turtle.py
python
RawTurtle.shape
(self, name=None)
Set turtle shape to shape with given name / return current shapename. Optional argument: name -- a string, which is a valid shapename Set turtle shape to shape with given name or, if name is not given, return name of current shape. Shape with name must exist in the TurtleScreen...
Set turtle shape to shape with given name / return current shapename.
[ "Set", "turtle", "shape", "to", "shape", "with", "given", "name", "/", "return", "current", "shapename", "." ]
def shape(self, name=None): """Set turtle shape to shape with given name / return current shapename. Optional argument: name -- a string, which is a valid shapename Set turtle shape to shape with given name or, if name is not given, return name of current shape. Shape w...
[ "def", "shape", "(", "self", ",", "name", "=", "None", ")", ":", "if", "name", "is", "None", ":", "return", "self", ".", "turtle", ".", "shapeIndex", "if", "not", "name", "in", "self", ".", "screen", ".", "getshapes", "(", ")", ":", "raise", "Turtl...
https://github.com/catboost/catboost/blob/167f64f237114a4d10b2b4ee42adb4569137debe/contrib/tools/python/src/Lib/lib-tk/turtle.py#L2658-L2683
adobe/chromium
cfe5bf0b51b1f6b9fe239c2a3c2f2364da9967d7
third_party/protobuf/python/google/protobuf/internal/containers.py
python
RepeatedScalarFieldContainer.MergeFrom
(self, other)
Appends the contents of another repeated field of the same type to this one. We do not check the types of the individual fields.
Appends the contents of another repeated field of the same type to this one. We do not check the types of the individual fields.
[ "Appends", "the", "contents", "of", "another", "repeated", "field", "of", "the", "same", "type", "to", "this", "one", ".", "We", "do", "not", "check", "the", "types", "of", "the", "individual", "fields", "." ]
def MergeFrom(self, other): """Appends the contents of another repeated field of the same type to this one. We do not check the types of the individual fields. """ self._values.extend(other._values) self._message_listener.Modified()
[ "def", "MergeFrom", "(", "self", ",", "other", ")", ":", "self", ".", "_values", ".", "extend", "(", "other", ".", "_values", ")", "self", ".", "_message_listener", ".", "Modified", "(", ")" ]
https://github.com/adobe/chromium/blob/cfe5bf0b51b1f6b9fe239c2a3c2f2364da9967d7/third_party/protobuf/python/google/protobuf/internal/containers.py#L130-L135
wlanjie/AndroidFFmpeg
7baf9122f4b8e1c74e7baf4be5c422c7a5ba5aaf
tools/fdk-aac-build/armeabi-v7a/toolchain/lib/python2.7/py_compile.py
python
main
(args=None)
return rv
Compile several source files. The files named in 'args' (or on the command line, if 'args' is not specified) are compiled and the resulting bytecode is cached in the normal manner. This function does not search a directory structure to locate source files; it only compiles files named explicitly. ...
Compile several source files.
[ "Compile", "several", "source", "files", "." ]
def main(args=None): """Compile several source files. The files named in 'args' (or on the command line, if 'args' is not specified) are compiled and the resulting bytecode is cached in the normal manner. This function does not search a directory structure to locate source files; it only compiles ...
[ "def", "main", "(", "args", "=", "None", ")", ":", "if", "args", "is", "None", ":", "args", "=", "sys", ".", "argv", "[", "1", ":", "]", "rv", "=", "0", "if", "args", "==", "[", "'-'", "]", ":", "while", "True", ":", "filename", "=", "sys", ...
https://github.com/wlanjie/AndroidFFmpeg/blob/7baf9122f4b8e1c74e7baf4be5c422c7a5ba5aaf/tools/fdk-aac-build/armeabi-v7a/toolchain/lib/python2.7/py_compile.py#L131-L167
tensorflow/tensorflow
419e3a6b650ea4bd1b0cba23c4348f8a69f3272e
tensorflow/python/distribute/input_lib.py
python
_SingleWorkerDatasetIteratorBase.get_next
(self, device, name=None)
Get next element for the given device.
Get next element for the given device.
[ "Get", "next", "element", "for", "the", "given", "device", "." ]
def get_next(self, device, name=None): """Get next element for the given device.""" del name with ops.device(self._worker): if _should_use_multi_device_iterator(self._options): return self._iterator.get_next(device) else: return self._iterator.get_next()
[ "def", "get_next", "(", "self", ",", "device", ",", "name", "=", "None", ")", ":", "del", "name", "with", "ops", ".", "device", "(", "self", ".", "_worker", ")", ":", "if", "_should_use_multi_device_iterator", "(", "self", ".", "_options", ")", ":", "r...
https://github.com/tensorflow/tensorflow/blob/419e3a6b650ea4bd1b0cba23c4348f8a69f3272e/tensorflow/python/distribute/input_lib.py#L1570-L1577
DLR-SC/tigl
d1c5901e948e33d10b1f9659ff3e22c4717b455f
thirdparty/nsiqcppstyle/nsiqcppstyle_rulemanager.py
python
RuleManager.RunPreprocessRule
(self, lexer, contextStack)
Run rules which runs in the preprecessor blocks
Run rules which runs in the preprecessor blocks
[ "Run", "rules", "which", "runs", "in", "the", "preprecessor", "blocks" ]
def RunPreprocessRule(self, lexer, contextStack): """ Run rules which runs in the preprecessor blocks """ for preprocessRule in self.preprocessRules : data = lexer.Backup() preprocessRule(lexer, contextStack) lexer.Restore(data)
[ "def", "RunPreprocessRule", "(", "self", ",", "lexer", ",", "contextStack", ")", ":", "for", "preprocessRule", "in", "self", ".", "preprocessRules", ":", "data", "=", "lexer", ".", "Backup", "(", ")", "preprocessRule", "(", "lexer", ",", "contextStack", ")",...
https://github.com/DLR-SC/tigl/blob/d1c5901e948e33d10b1f9659ff3e22c4717b455f/thirdparty/nsiqcppstyle/nsiqcppstyle_rulemanager.py#L94-L99
wxWidgets/wxPython-Classic
19571e1ae65f1ac445f5491474121998c97a1bf0
wx/lib/docview.py
python
DocTemplate.CreateDocument
(self, path, flags)
Creates a new instance of the associated document class. If you have not supplied a class to the template constructor, you will need to override this function to return an appropriate document instance.
Creates a new instance of the associated document class. If you have not supplied a class to the template constructor, you will need to override this function to return an appropriate document instance.
[ "Creates", "a", "new", "instance", "of", "the", "associated", "document", "class", ".", "If", "you", "have", "not", "supplied", "a", "class", "to", "the", "template", "constructor", "you", "will", "need", "to", "override", "this", "function", "to", "return",...
def CreateDocument(self, path, flags): """ Creates a new instance of the associated document class. If you have not supplied a class to the template constructor, you will need to override this function to return an appropriate document instance. """ doc = self._docType() ...
[ "def", "CreateDocument", "(", "self", ",", "path", ",", "flags", ")", ":", "doc", "=", "self", ".", "_docType", "(", ")", "doc", ".", "SetFilename", "(", "path", ")", "doc", ".", "SetDocumentTemplate", "(", "self", ")", "self", ".", "GetDocumentManager",...
https://github.com/wxWidgets/wxPython-Classic/blob/19571e1ae65f1ac445f5491474121998c97a1bf0/wx/lib/docview.py#L1245-L1261
mantidproject/mantid
03deeb89254ec4289edb8771e0188c2090a02f32
Framework/PythonInterface/plugins/algorithms/VesuvioPeakPrediction.py
python
VesuvioPeakPrediction.displacement
(self, temp, debye_temp, atomic_mass)
return disp
temp: temperature in K debye_temp: debye temperature in K atomic_mass: atomic mass in AMU
temp: temperature in K debye_temp: debye temperature in K atomic_mass: atomic mass in AMU
[ "temp", ":", "temperature", "in", "K", "debye_temp", ":", "debye", "temperature", "in", "K", "atomic_mass", ":", "atomic", "mass", "in", "AMU" ]
def displacement(self, temp, debye_temp, atomic_mass): """ temp: temperature in K debye_temp: debye temperature in K atomic_mass: atomic mass in AMU """ n = 1000 y = np.empty(n + 1, float) debye_energy = debye_temp / K_IN_MEV temp /= K_IN_MEV ...
[ "def", "displacement", "(", "self", ",", "temp", ",", "debye_temp", ",", "atomic_mass", ")", ":", "n", "=", "1000", "y", "=", "np", ".", "empty", "(", "n", "+", "1", ",", "float", ")", "debye_energy", "=", "debye_temp", "/", "K_IN_MEV", "temp", "/=",...
https://github.com/mantidproject/mantid/blob/03deeb89254ec4289edb8771e0188c2090a02f32/Framework/PythonInterface/plugins/algorithms/VesuvioPeakPrediction.py#L146-L165
seqan/seqan
f5f658343c366c9c3d44ba358ffc9317e78a09ed
util/py_lib/seqan/dddoc/main.py
python
DDDocRunner.__init__
(self, index_only=False, doc_dirs=[], out_dir='html', demos_dir='.', cache_only=False, include_dirs=[])
Initialize, arguments correspond to attributes.
Initialize, arguments correspond to attributes.
[ "Initialize", "arguments", "correspond", "to", "attributes", "." ]
def __init__(self, index_only=False, doc_dirs=[], out_dir='html', demos_dir='.', cache_only=False, include_dirs=[]): """Initialize, arguments correspond to attributes.""" self.index_only = index_only self.doc_dirs = doc_dirs self.out_dir = out_dir self.demos_dir ...
[ "def", "__init__", "(", "self", ",", "index_only", "=", "False", ",", "doc_dirs", "=", "[", "]", ",", "out_dir", "=", "'html'", ",", "demos_dir", "=", "'.'", ",", "cache_only", "=", "False", ",", "include_dirs", "=", "[", "]", ")", ":", "self", ".", ...
https://github.com/seqan/seqan/blob/f5f658343c366c9c3d44ba358ffc9317e78a09ed/util/py_lib/seqan/dddoc/main.py#L35-L43
okex/V3-Open-API-SDK
c5abb0db7e2287718e0055e17e57672ce0ec7fd9
okex-python-sdk-api/venv/Lib/site-packages/pip-19.0.3-py3.8.egg/pip/_vendor/distlib/_backport/tarfile.py
python
TarInfo._proc_member
(self, tarfile)
Choose the right processing method depending on the type and call it.
Choose the right processing method depending on the type and call it.
[ "Choose", "the", "right", "processing", "method", "depending", "on", "the", "type", "and", "call", "it", "." ]
def _proc_member(self, tarfile): """Choose the right processing method depending on the type and call it. """ if self.type in (GNUTYPE_LONGNAME, GNUTYPE_LONGLINK): return self._proc_gnulong(tarfile) elif self.type == GNUTYPE_SPARSE: return self._proc_sp...
[ "def", "_proc_member", "(", "self", ",", "tarfile", ")", ":", "if", "self", ".", "type", "in", "(", "GNUTYPE_LONGNAME", ",", "GNUTYPE_LONGLINK", ")", ":", "return", "self", ".", "_proc_gnulong", "(", "tarfile", ")", "elif", "self", ".", "type", "==", "GN...
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/distlib/_backport/tarfile.py#L1303-L1314
CaoWGG/TensorRT-CenterNet
f949252e37b51e60f873808f46d3683f15735e79
onnx-tensorrt/third_party/onnx/third_party/benchmark/mingw.py
python
download
(url, location, log = EmptyLogger())
return possible
Downloads and unpacks a mingw-builds archive
Downloads and unpacks a mingw-builds archive
[ "Downloads", "and", "unpacks", "a", "mingw", "-", "builds", "archive" ]
def download(url, location, log = EmptyLogger()): ''' Downloads and unpacks a mingw-builds archive ''' log.info('downloading MinGW') log.debug(' - url: %s', url) log.debug(' - location: %s', location) re_content = re.compile(r'attachment;[ \t]*filename=(")?([^"]*)(")?[\r\n]*') stream =...
[ "def", "download", "(", "url", ",", "location", ",", "log", "=", "EmptyLogger", "(", ")", ")", ":", "log", ".", "info", "(", "'downloading MinGW'", ")", "log", ".", "debug", "(", "' - url: %s'", ",", "url", ")", "log", ".", "debug", "(", "' - location:...
https://github.com/CaoWGG/TensorRT-CenterNet/blob/f949252e37b51e60f873808f46d3683f15735e79/onnx-tensorrt/third_party/onnx/third_party/benchmark/mingw.py#L125-L170
fatih/subvim
241b6d170597857105da219c9b7d36059e9f11fb
vim/base/YouCompleteMe/third_party/jedi/jedi/evaluate_representation.py
python
Execution.get_params
(self)
return result
This returns the params for an Execution/Instance and is injected as a 'hack' into the pr.Function class. This needs to be here, because Instance can have __init__ functions, which act the same way as normal functions.
This returns the params for an Execution/Instance and is injected as a 'hack' into the pr.Function class. This needs to be here, because Instance can have __init__ functions, which act the same way as normal functions.
[ "This", "returns", "the", "params", "for", "an", "Execution", "/", "Instance", "and", "is", "injected", "as", "a", "hack", "into", "the", "pr", ".", "Function", "class", ".", "This", "needs", "to", "be", "here", "because", "Instance", "can", "have", "__i...
def get_params(self): """ This returns the params for an Execution/Instance and is injected as a 'hack' into the pr.Function class. This needs to be here, because Instance can have __init__ functions, which act the same way as normal functions. """ def gen_param_n...
[ "def", "get_params", "(", "self", ")", ":", "def", "gen_param_name_copy", "(", "param", ",", "keys", "=", "(", ")", ",", "values", "=", "(", ")", ",", "array_type", "=", "None", ")", ":", "\"\"\"\n Create a param with the original scope (of varargs) as ...
https://github.com/fatih/subvim/blob/241b6d170597857105da219c9b7d36059e9f11fb/vim/base/YouCompleteMe/third_party/jedi/jedi/evaluate_representation.py#L515-L642
giuspen/cherrytree
84712f206478fcf9acf30174009ad28c648c6344
pygtk2/modules/support.py
python
apply_tag_try_node_name
(dad, iter_start, iter_end)
return False
Apply Link to Node Tag if the text is a node name
Apply Link to Node Tag if the text is a node name
[ "Apply", "Link", "to", "Node", "Tag", "if", "the", "text", "is", "a", "node", "name" ]
def apply_tag_try_node_name(dad, iter_start, iter_end): """Apply Link to Node Tag if the text is a node name""" node_name = dad.curr_buffer.get_text(iter_start, iter_end) node_dest = dad.get_tree_iter_from_node_name(node_name) if node_dest: dad.curr_buffer.select_range(iter_start, iter_end) ...
[ "def", "apply_tag_try_node_name", "(", "dad", ",", "iter_start", ",", "iter_end", ")", ":", "node_name", "=", "dad", ".", "curr_buffer", ".", "get_text", "(", "iter_start", ",", "iter_end", ")", "node_dest", "=", "dad", ".", "get_tree_iter_from_node_name", "(", ...
https://github.com/giuspen/cherrytree/blob/84712f206478fcf9acf30174009ad28c648c6344/pygtk2/modules/support.py#L94-L103
microsoft/TSS.MSR
0f2516fca2cd9929c31d5450e39301c9bde43688
TSS.Py/src/TpmTypes.py
python
TPMS_ID_OBJECT.toTpm
(self, buf)
TpmMarshaller method
TpmMarshaller method
[ "TpmMarshaller", "method" ]
def toTpm(self, buf): """ TpmMarshaller method """ buf.writeSizedByteBuf(self.integrityHMAC) buf.writeByteBuf(self.encIdentity)
[ "def", "toTpm", "(", "self", ",", "buf", ")", ":", "buf", ".", "writeSizedByteBuf", "(", "self", ".", "integrityHMAC", ")", "buf", ".", "writeByteBuf", "(", "self", ".", "encIdentity", ")" ]
https://github.com/microsoft/TSS.MSR/blob/0f2516fca2cd9929c31d5450e39301c9bde43688/TSS.Py/src/TpmTypes.py#L8537-L8540
catboost/catboost
167f64f237114a4d10b2b4ee42adb4569137debe
contrib/tools/python/src/Lib/sysconfig.py
python
_parse_makefile
(filename, vars=None)
return vars
Parse a Makefile-style file. A dictionary containing name/value pairs is returned. If an optional dictionary is passed in as the second argument, it is used instead of a new dictionary.
Parse a Makefile-style file.
[ "Parse", "a", "Makefile", "-", "style", "file", "." ]
def _parse_makefile(filename, vars=None): """Parse a Makefile-style file. A dictionary containing name/value pairs is returned. If an optional dictionary is passed in as the second argument, it is used instead of a new dictionary. """ import re # Regexes needed for parsing Makefile (and si...
[ "def", "_parse_makefile", "(", "filename", ",", "vars", "=", "None", ")", ":", "import", "re", "# Regexes needed for parsing Makefile (and similar syntaxes,", "# like old-style Setup files).", "_variable_rx", "=", "re", ".", "compile", "(", "\"([a-zA-Z][a-zA-Z0-9_]+)\\s*=\\s*...
https://github.com/catboost/catboost/blob/167f64f237114a4d10b2b4ee42adb4569137debe/contrib/tools/python/src/Lib/sysconfig.py#L195-L278
syoyo/tinygltf
e7f1ff5c59d3ca2489923beb239bdf93d863498f
deps/cpplint.py
python
_DropCommonSuffixes
(filename)
return os.path.splitext(filename)[0]
Drops common suffixes like _test.cc or -inl.h from filename. For example: >>> _DropCommonSuffixes('foo/foo-inl.h') 'foo/foo' >>> _DropCommonSuffixes('foo/bar/foo.cc') 'foo/bar/foo' >>> _DropCommonSuffixes('foo/foo_internal.h') 'foo/foo' >>> _DropCommonSuffixes('foo/foo_unusualinternal.h')...
Drops common suffixes like _test.cc or -inl.h from filename.
[ "Drops", "common", "suffixes", "like", "_test", ".", "cc", "or", "-", "inl", ".", "h", "from", "filename", "." ]
def _DropCommonSuffixes(filename): """Drops common suffixes like _test.cc or -inl.h from filename. For example: >>> _DropCommonSuffixes('foo/foo-inl.h') 'foo/foo' >>> _DropCommonSuffixes('foo/bar/foo.cc') 'foo/bar/foo' >>> _DropCommonSuffixes('foo/foo_internal.h') 'foo/foo' >>> _DropCom...
[ "def", "_DropCommonSuffixes", "(", "filename", ")", ":", "for", "suffix", "in", "(", "'test.cc'", ",", "'regtest.cc'", ",", "'unittest.cc'", ",", "'inl.h'", ",", "'impl.h'", ",", "'internal.h'", ")", ":", "if", "(", "filename", ".", "endswith", "(", "suffix"...
https://github.com/syoyo/tinygltf/blob/e7f1ff5c59d3ca2489923beb239bdf93d863498f/deps/cpplint.py#L4501-L4525
tensorflow/tensorflow
419e3a6b650ea4bd1b0cba23c4348f8a69f3272e
tensorflow/python/ops/ctc_ops.py
python
_scan
(fn, elems, initial, reverse=False, inclusive=False, final_only=False)
return pack(out)
Repeatedly applies callable `fn` to a sequence of elements. Implemented by functional_ops.While, tpu friendly, no gradient. This is similar to functional_ops.scan but significantly faster on tpu/gpu for the forward backward use case. Examples: scan(lambda a, e: a + e, [1.0, 2.0, 3.0], 1.0) => [2.0, 4.0, ...
Repeatedly applies callable `fn` to a sequence of elements.
[ "Repeatedly", "applies", "callable", "fn", "to", "a", "sequence", "of", "elements", "." ]
def _scan(fn, elems, initial, reverse=False, inclusive=False, final_only=False): """Repeatedly applies callable `fn` to a sequence of elements. Implemented by functional_ops.While, tpu friendly, no gradient. This is similar to functional_ops.scan but significantly faster on tpu/gpu for the forward backward us...
[ "def", "_scan", "(", "fn", ",", "elems", ",", "initial", ",", "reverse", "=", "False", ",", "inclusive", "=", "False", ",", "final_only", "=", "False", ")", ":", "flat_elems", "=", "[", "ops", ".", "convert_to_tensor", "(", "x", ")", "for", "x", "in"...
https://github.com/tensorflow/tensorflow/blob/419e3a6b650ea4bd1b0cba23c4348f8a69f3272e/tensorflow/python/ops/ctc_ops.py#L1369-L1479
eventql/eventql
7ca0dbb2e683b525620ea30dc40540a22d5eb227
deps/3rdparty/spidermonkey/mozjs/python/bitstring/bitstring.py
python
Bits._readsie
(self, pos)
Return interpretation of next bits as a signed interleaved exponential-Golomb code. Advances position to after the read code. Raises ReadError if the end of the bitstring is encountered while reading the code.
Return interpretation of next bits as a signed interleaved exponential-Golomb code.
[ "Return", "interpretation", "of", "next", "bits", "as", "a", "signed", "interleaved", "exponential", "-", "Golomb", "code", "." ]
def _readsie(self, pos): """Return interpretation of next bits as a signed interleaved exponential-Golomb code. Advances position to after the read code. Raises ReadError if the end of the bitstring is encountered while reading the code. """ codenum, pos = self._readui...
[ "def", "_readsie", "(", "self", ",", "pos", ")", ":", "codenum", ",", "pos", "=", "self", ".", "_readuie", "(", "pos", ")", "if", "not", "codenum", ":", "return", "0", ",", "pos", "try", ":", "if", "self", "[", "pos", "]", ":", "return", "-", "...
https://github.com/eventql/eventql/blob/7ca0dbb2e683b525620ea30dc40540a22d5eb227/deps/3rdparty/spidermonkey/mozjs/python/bitstring/bitstring.py#L1780-L1798
tfwu/FaceDetection-ConvNet-3D
f9251c48eb40c5aec8fba7455115c355466555be
python/mxnet/executor.py
python
Executor.set_monitor_callback
(self, callback)
Install callback. Parameters ---------- callback : function Takes a string and an NDArrayHandle.
Install callback.
[ "Install", "callback", "." ]
def set_monitor_callback(self, callback): """Install callback. Parameters ---------- callback : function Takes a string and an NDArrayHandle. """ cb_type = ctypes.CFUNCTYPE(None, ctypes.c_char_p, NDArrayHandle, ctypes.c_void_p) self._monitor_callback ...
[ "def", "set_monitor_callback", "(", "self", ",", "callback", ")", ":", "cb_type", "=", "ctypes", ".", "CFUNCTYPE", "(", "None", ",", "ctypes", ".", "c_char_p", ",", "NDArrayHandle", ",", "ctypes", ".", "c_void_p", ")", "self", ".", "_monitor_callback", "=", ...
https://github.com/tfwu/FaceDetection-ConvNet-3D/blob/f9251c48eb40c5aec8fba7455115c355466555be/python/mxnet/executor.py#L139-L152
liuheng92/tensorflow_PSENet
e2cd908f301b762150aa36893677c1c51c98ff9e
nets/resnet/resnet_utils.py
python
stack_blocks_dense
(net, blocks, output_stride=None, outputs_collections=None)
return net
Stacks ResNet `Blocks` and controls output feature density. First, this function creates scopes for the ResNet in the form of 'block_name/unit_1', 'block_name/unit_2', etc. Second, this function allows the user to explicitly control the ResNet output_stride, which is the ratio of the input to output s...
Stacks ResNet `Blocks` and controls output feature density.
[ "Stacks", "ResNet", "Blocks", "and", "controls", "output", "feature", "density", "." ]
def stack_blocks_dense(net, blocks, output_stride=None, outputs_collections=None): """Stacks ResNet `Blocks` and controls output feature density. First, this function creates scopes for the ResNet in the form of 'block_name/unit_1', 'block_name/unit_2', etc. Second, this functio...
[ "def", "stack_blocks_dense", "(", "net", ",", "blocks", ",", "output_stride", "=", "None", ",", "outputs_collections", "=", "None", ")", ":", "# The current_stride variable keeps track of the effective stride of the", "# activations. This allows us to invoke atrous convolution when...
https://github.com/liuheng92/tensorflow_PSENet/blob/e2cd908f301b762150aa36893677c1c51c98ff9e/nets/resnet/resnet_utils.py#L126-L206
krishauser/Klampt
972cc83ea5befac3f653c1ba20f80155768ad519
Python/python2_version/klampt/model/multipath.py
python
_prettify
(elem,indent_level=0)
return res
Return a pretty-printed XML string for the Element.
Return a pretty-printed XML string for the Element.
[ "Return", "a", "pretty", "-", "printed", "XML", "string", "for", "the", "Element", "." ]
def _prettify(elem,indent_level=0): """Return a pretty-printed XML string for the Element. """ indent = " " res = indent_level*indent + '<'+elem.tag.encode('utf-8') for k in elem.iterkeys(): res += " "+k.encode('utf-8')+'="'+_escape_nl(elem.get(k)).encode('utf-8')+'"' children = elem.g...
[ "def", "_prettify", "(", "elem", ",", "indent_level", "=", "0", ")", ":", "indent", "=", "\" \"", "res", "=", "indent_level", "*", "indent", "+", "'<'", "+", "elem", ".", "tag", ".", "encode", "(", "'utf-8'", ")", "for", "k", "in", "elem", ".", "i...
https://github.com/krishauser/Klampt/blob/972cc83ea5befac3f653c1ba20f80155768ad519/Python/python2_version/klampt/model/multipath.py#L467-L487
ApolloAuto/apollo-platform
86d9dc6743b496ead18d597748ebabd34a513289
ros/third_party/lib_aarch64/python2.7/dist-packages/catkin_pkg/package.py
python
Package.__init__
(self, filename=None, **kwargs)
:param filename: location of package.xml. Necessary if converting ``${prefix}`` in ``<export>`` values, ``str``.
:param filename: location of package.xml. Necessary if converting ``${prefix}`` in ``<export>`` values, ``str``.
[ ":", "param", "filename", ":", "location", "of", "package", ".", "xml", ".", "Necessary", "if", "converting", "$", "{", "prefix", "}", "in", "<export", ">", "values", "str", "." ]
def __init__(self, filename=None, **kwargs): """ :param filename: location of package.xml. Necessary if converting ``${prefix}`` in ``<export>`` values, ``str``. """ # initialize all slots ending with "s" with lists, all other with plain values for attr in self.__slots...
[ "def", "__init__", "(", "self", ",", "filename", "=", "None", ",", "*", "*", "kwargs", ")", ":", "# initialize all slots ending with \"s\" with lists, all other with plain values", "for", "attr", "in", "self", ".", "__slots__", ":", "if", "attr", ".", "endswith", ...
https://github.com/ApolloAuto/apollo-platform/blob/86d9dc6743b496ead18d597748ebabd34a513289/ros/third_party/lib_aarch64/python2.7/dist-packages/catkin_pkg/package.py#L76-L105
wxWidgets/wxPython-Classic
19571e1ae65f1ac445f5491474121998c97a1bf0
wx/lib/combotreebox.py
python
BaseComboTreeBox.NotifyItemSelected
(self, text)
Simulate selection of an item by the user. This is meant to be called by the PopupFrame when the user selects an item.
Simulate selection of an item by the user. This is meant to be called by the PopupFrame when the user selects an item.
[ "Simulate", "selection", "of", "an", "item", "by", "the", "user", ".", "This", "is", "meant", "to", "be", "called", "by", "the", "PopupFrame", "when", "the", "user", "selects", "an", "item", "." ]
def NotifyItemSelected(self, text): """ Simulate selection of an item by the user. This is meant to be called by the PopupFrame when the user selects an item. """ self._text.SetValue(text) self._postComboBoxSelectedEvent(text) self.SetFocus()
[ "def", "NotifyItemSelected", "(", "self", ",", "text", ")", ":", "self", ".", "_text", ".", "SetValue", "(", "text", ")", "self", ".", "_postComboBoxSelectedEvent", "(", "text", ")", "self", ".", "SetFocus", "(", ")" ]
https://github.com/wxWidgets/wxPython-Classic/blob/19571e1ae65f1ac445f5491474121998c97a1bf0/wx/lib/combotreebox.py#L418-L425
microsoft/DirectXShaderCompiler
8348ff8d9e0287610ba05d3a828e10af981a1c05
utils/hct/hctdb.py
python
db_dxil.build_indices
(self)
Build a name_idx dictionary with instructions and an enum_idx dictionary with enumeration types
Build a name_idx dictionary with instructions and an enum_idx dictionary with enumeration types
[ "Build", "a", "name_idx", "dictionary", "with", "instructions", "and", "an", "enum_idx", "dictionary", "with", "enumeration", "types" ]
def build_indices(self): "Build a name_idx dictionary with instructions and an enum_idx dictionary with enumeration types" self.name_idx = {} for i in self.instr: self.name_idx[i.name] = i self.enum_idx = {} for i in self.enums: self.enum_idx[i.name] = i
[ "def", "build_indices", "(", "self", ")", ":", "self", ".", "name_idx", "=", "{", "}", "for", "i", "in", "self", ".", "instr", ":", "self", ".", "name_idx", "[", "i", ".", "name", "]", "=", "i", "self", ".", "enum_idx", "=", "{", "}", "for", "i...
https://github.com/microsoft/DirectXShaderCompiler/blob/8348ff8d9e0287610ba05d3a828e10af981a1c05/utils/hct/hctdb.py#L203-L210
gimli-org/gimli
17aa2160de9b15ababd9ef99e89b1bc3277bbb23
pygimli/viewer/mpl/modelview.py
python
draw1dmodelLU
(x, xL, xU, thk=None, **kwargs)
Draw 1d model with lower and upper bounds.
Draw 1d model with lower and upper bounds.
[ "Draw", "1d", "model", "with", "lower", "and", "upper", "bounds", "." ]
def draw1dmodelLU(x, xL, xU, thk=None, **kwargs): """Draw 1d model with lower and upper bounds.""" raise BaseException("IMPLEMENTME")
[ "def", "draw1dmodelLU", "(", "x", ",", "xL", ",", "xU", ",", "thk", "=", "None", ",", "*", "*", "kwargs", ")", ":", "raise", "BaseException", "(", "\"IMPLEMENTME\"", ")" ]
https://github.com/gimli-org/gimli/blob/17aa2160de9b15ababd9ef99e89b1bc3277bbb23/pygimli/viewer/mpl/modelview.py#L213-L215
chromiumembedded/cef
80caf947f3fe2210e5344713c5281d8af9bdc295
tools/gn_args.py
python
GetChromiumDefaultArgs
()
return defaults
Return default GN args. These must match the Chromium defaults. Only args that may be retrieved via GetArgValue() need to be specified here.
Return default GN args. These must match the Chromium defaults. Only args that may be retrieved via GetArgValue() need to be specified here.
[ "Return", "default", "GN", "args", ".", "These", "must", "match", "the", "Chromium", "defaults", ".", "Only", "args", "that", "may", "be", "retrieved", "via", "GetArgValue", "()", "need", "to", "be", "specified", "here", "." ]
def GetChromiumDefaultArgs(): """ Return default GN args. These must match the Chromium defaults. Only args that may be retrieved via GetArgValue() need to be specified here. """ # Search for these values in declare_args() sections of *.gni files to find # the defaults. defaults = { 'dcheck_always_...
[ "def", "GetChromiumDefaultArgs", "(", ")", ":", "# Search for these values in declare_args() sections of *.gni files to find", "# the defaults.", "defaults", "=", "{", "'dcheck_always_on'", ":", "False", ",", "'is_asan'", ":", "False", ",", "'is_debug'", ":", "True", ",", ...
https://github.com/chromiumembedded/cef/blob/80caf947f3fe2210e5344713c5281d8af9bdc295/tools/gn_args.py#L161-L187
benoitsteiner/tensorflow-opencl
cb7cb40a57fde5cfd4731bc551e82a1e2fef43a5
tensorflow/python/keras/_impl/keras/initializers.py
python
glorot_uniform
(seed=None)
return VarianceScaling( scale=1., mode='fan_avg', distribution='uniform', seed=seed)
Glorot uniform initializer, also called Xavier uniform initializer. It draws samples from a uniform distribution within [-limit, limit] where `limit` is `sqrt(6 / (fan_in + fan_out))` where `fan_in` is the number of input units in the weight tensor and `fan_out` is the number of output units in the weight tens...
Glorot uniform initializer, also called Xavier uniform initializer.
[ "Glorot", "uniform", "initializer", "also", "called", "Xavier", "uniform", "initializer", "." ]
def glorot_uniform(seed=None): """Glorot uniform initializer, also called Xavier uniform initializer. It draws samples from a uniform distribution within [-limit, limit] where `limit` is `sqrt(6 / (fan_in + fan_out))` where `fan_in` is the number of input units in the weight tensor and `fan_out` is the numbe...
[ "def", "glorot_uniform", "(", "seed", "=", "None", ")", ":", "return", "VarianceScaling", "(", "scale", "=", "1.", ",", "mode", "=", "'fan_avg'", ",", "distribution", "=", "'uniform'", ",", "seed", "=", "seed", ")" ]
https://github.com/benoitsteiner/tensorflow-opencl/blob/cb7cb40a57fde5cfd4731bc551e82a1e2fef43a5/tensorflow/python/keras/_impl/keras/initializers.py#L102-L121
wlanjie/AndroidFFmpeg
7baf9122f4b8e1c74e7baf4be5c422c7a5ba5aaf
tools/fdk-aac-build/x86/toolchain/lib/python2.7/compiler/transformer.py
python
Transformer.parseexpr
(self, text)
return self.transform(parser.expr(text))
Return a modified parse tree for the given expression text.
Return a modified parse tree for the given expression text.
[ "Return", "a", "modified", "parse", "tree", "for", "the", "given", "expression", "text", "." ]
def parseexpr(self, text): """Return a modified parse tree for the given expression text.""" return self.transform(parser.expr(text))
[ "def", "parseexpr", "(", "self", ",", "text", ")", ":", "return", "self", ".", "transform", "(", "parser", ".", "expr", "(", "text", ")", ")" ]
https://github.com/wlanjie/AndroidFFmpeg/blob/7baf9122f4b8e1c74e7baf4be5c422c7a5ba5aaf/tools/fdk-aac-build/x86/toolchain/lib/python2.7/compiler/transformer.py#L130-L132
wxWidgets/wxPython-Classic
19571e1ae65f1ac445f5491474121998c97a1bf0
wx/lib/pdfviewer/viewer.py
python
pypdfProcessor.InsertXObject
(self, name)
return dlist
XObject can be an image or a 'form' (an arbitrary PDF sequence)
XObject can be an image or a 'form' (an arbitrary PDF sequence)
[ "XObject", "can", "be", "an", "image", "or", "a", "form", "(", "an", "arbitrary", "PDF", "sequence", ")" ]
def InsertXObject(self, name): " XObject can be an image or a 'form' (an arbitrary PDF sequence) " dlist = [] xobject = self.page["/Resources"].getObject()['/XObject'] stream = xobject[name] if stream.get('/Subtype') == '/Form': # insert contents into current page dra...
[ "def", "InsertXObject", "(", "self", ",", "name", ")", ":", "dlist", "=", "[", "]", "xobject", "=", "self", ".", "page", "[", "\"/Resources\"", "]", ".", "getObject", "(", ")", "[", "'/XObject'", "]", "stream", "=", "xobject", "[", "name", "]", "if",...
https://github.com/wxWidgets/wxPython-Classic/blob/19571e1ae65f1ac445f5491474121998c97a1bf0/wx/lib/pdfviewer/viewer.py#L861-L886
oracle/graaljs
36a56e8e993d45fc40939a3a4d9c0c24990720f1
graal-nodejs/tools/cpplint.py
python
PathSplitToList
(path)
return lst
Returns the path split into a list by the separator. Args: path: An absolute or relative path (e.g. '/a/b/c/' or '../a') Returns: A list of path components (e.g. ['a', 'b', 'c]).
Returns the path split into a list by the separator.
[ "Returns", "the", "path", "split", "into", "a", "list", "by", "the", "separator", "." ]
def PathSplitToList(path): """Returns the path split into a list by the separator. Args: path: An absolute or relative path (e.g. '/a/b/c/' or '../a') Returns: A list of path components (e.g. ['a', 'b', 'c]). """ lst = [] while True: (head, tail) = os.path.split(path) if head == path: # a...
[ "def", "PathSplitToList", "(", "path", ")", ":", "lst", "=", "[", "]", "while", "True", ":", "(", "head", ",", "tail", ")", "=", "os", ".", "path", ".", "split", "(", "path", ")", "if", "head", "==", "path", ":", "# absolute paths end", "lst", ".",...
https://github.com/oracle/graaljs/blob/36a56e8e993d45fc40939a3a4d9c0c24990720f1/graal-nodejs/tools/cpplint.py#L2274-L2297
15172658790/Blog
46e5036f5fbcad535af2255dc0e095cebcd8d710
数学类/计算方法/code/numerical_integration/numerical_integration.py
python
trapezoidal
(a,b,h,fs)
return ret
梯形积分公式
梯形积分公式
[ "梯形积分公式" ]
def trapezoidal(a,b,h,fs): '''梯形积分公式''' xs = [i for i in np.arange(a,b+h,h)] print('x'.ljust(10),end='') mypprint(xs) print('fx'.ljust(10),end='') mypprint(fs) ret = h*(sum(fs)-fs[0]/2 - fs[-1]/2) print(ret) return ret
[ "def", "trapezoidal", "(", "a", ",", "b", ",", "h", ",", "fs", ")", ":", "xs", "=", "[", "i", "for", "i", "in", "np", ".", "arange", "(", "a", ",", "b", "+", "h", ",", "h", ")", "]", "print", "(", "'x'", ".", "ljust", "(", "10", ")", ",...
https://github.com/15172658790/Blog/blob/46e5036f5fbcad535af2255dc0e095cebcd8d710/数学类/计算方法/code/numerical_integration/numerical_integration.py#L23-L32
windystrife/UnrealEngine_NVIDIAGameWorks
b50e6338a7c5b26374d66306ebc7807541ff815e
Engine/Source/ThirdParty/CEF3/pristine/cef_source/tools/cef_parser.py
python
obj_header.get_capi_translations
(self)
return map
Return a dictionary that maps C++ terminology to C API terminology.
Return a dictionary that maps C++ terminology to C API terminology.
[ "Return", "a", "dictionary", "that", "maps", "C", "++", "terminology", "to", "C", "API", "terminology", "." ]
def get_capi_translations(self): """ Return a dictionary that maps C++ terminology to C API terminology. """ # strings that will be changed in C++ comments map = { 'class' : 'structure', 'Class' : 'Structure', 'interface' : 'structure', 'In...
[ "def", "get_capi_translations", "(", "self", ")", ":", "# strings that will be changed in C++ comments", "map", "=", "{", "'class'", ":", "'structure'", ",", "'Class'", ":", "'Structure'", ",", "'interface'", ":", "'structure'", ",", "'Interface'", ":", "'Structure'",...
https://github.com/windystrife/UnrealEngine_NVIDIAGameWorks/blob/b50e6338a7c5b26374d66306ebc7807541ff815e/Engine/Source/ThirdParty/CEF3/pristine/cef_source/tools/cef_parser.py#L720-L752
windystrife/UnrealEngine_NVIDIAGameWorks
b50e6338a7c5b26374d66306ebc7807541ff815e
Engine/Extras/ThirdPartyNotUE/emsdk/Win64/python/2.7.5.3_64bit/Lib/site-packages/win32com/util.py
python
IIDToInterfaceName
(iid)
Converts an IID to a string interface name. Used primarily for debugging purposes, this allows a cryptic IID to be converted to a useful string name. This will firstly look for interfaces known (ie, registered) by pythoncom. If not known, it will look in the registry for a registered interface. iid -- An II...
Converts an IID to a string interface name. Used primarily for debugging purposes, this allows a cryptic IID to be converted to a useful string name. This will firstly look for interfaces known (ie, registered) by pythoncom. If not known, it will look in the registry for a registered interface.
[ "Converts", "an", "IID", "to", "a", "string", "interface", "name", ".", "Used", "primarily", "for", "debugging", "purposes", "this", "allows", "a", "cryptic", "IID", "to", "be", "converted", "to", "a", "useful", "string", "name", ".", "This", "will", "firs...
def IIDToInterfaceName(iid): """Converts an IID to a string interface name. Used primarily for debugging purposes, this allows a cryptic IID to be converted to a useful string name. This will firstly look for interfaces known (ie, registered) by pythoncom. If not known, it will look in the registry for a reg...
[ "def", "IIDToInterfaceName", "(", "iid", ")", ":", "try", ":", "return", "pythoncom", ".", "ServerInterfaces", "[", "iid", "]", "except", "KeyError", ":", "try", ":", "try", ":", "return", "win32api", ".", "RegQueryValue", "(", "win32con", ".", "HKEY_CLASSES...
https://github.com/windystrife/UnrealEngine_NVIDIAGameWorks/blob/b50e6338a7c5b26374d66306ebc7807541ff815e/Engine/Extras/ThirdPartyNotUE/emsdk/Win64/python/2.7.5.3_64bit/Lib/site-packages/win32com/util.py#L8-L30
aws/lumberyard
f85344403c1c2e77ec8c75deb2c116e97b713217
dev/Gems/CloudGemMetric/v1/AWS/common-code/Lib/numba/targets/printimpl.py
python
print_item_impl
(context, builder, sig, args)
return impl_ret_untracked(context, builder, sig.return_type, res)
Print a single constant value.
Print a single constant value.
[ "Print", "a", "single", "constant", "value", "." ]
def print_item_impl(context, builder, sig, args): """ Print a single constant value. """ ty, = sig.args val = ty.literal_value pyapi = context.get_python_api(builder) strobj = pyapi.unserialize(pyapi.serialize_object(val)) pyapi.print_object(strobj) pyapi.decref(strobj) res = ...
[ "def", "print_item_impl", "(", "context", ",", "builder", ",", "sig", ",", "args", ")", ":", "ty", ",", "=", "sig", ".", "args", "val", "=", "ty", ".", "literal_value", "pyapi", "=", "context", ".", "get_python_api", "(", "builder", ")", "strobj", "=",...
https://github.com/aws/lumberyard/blob/f85344403c1c2e77ec8c75deb2c116e97b713217/dev/Gems/CloudGemMetric/v1/AWS/common-code/Lib/numba/targets/printimpl.py#L18-L32
hanpfei/chromium-net
392cc1fa3a8f92f42e4071ab6e674d8e0482f83f
third_party/catapult/telemetry/third_party/mox3/mox3/mox.py
python
MockObject.__contains__
(self, key)
return self._CreateMockMethod('__contains__')(key)
Provide custom logic for mocking classes that contain items. Args: key: Key to look in container for. Returns: Expected return value in replay mode. A MockMethod object for the __contains__ method that has already been called if not in replay mode. ...
Provide custom logic for mocking classes that contain items.
[ "Provide", "custom", "logic", "for", "mocking", "classes", "that", "contain", "items", "." ]
def __contains__(self, key): """Provide custom logic for mocking classes that contain items. Args: key: Key to look in container for. Returns: Expected return value in replay mode. A MockMethod object for the __contains__ method that has already been called ...
[ "def", "__contains__", "(", "self", ",", "key", ")", ":", "contains", "=", "self", ".", "_class_to_mock", ".", "__dict__", ".", "get", "(", "'__contains__'", ",", "None", ")", "if", "contains", "is", "None", ":", "raise", "TypeError", "(", "'unsubscriptabl...
https://github.com/hanpfei/chromium-net/blob/392cc1fa3a8f92f42e4071ab6e674d8e0482f83f/third_party/catapult/telemetry/third_party/mox3/mox3/mox.py#L766-L792
deepmind/open_spiel
4ca53bea32bb2875c7385d215424048ae92f78c8
open_spiel/python/algorithms/exploitability.py
python
exploitability
(game, policy)
return nash_conv_value / game.num_players()
Returns the exploitability of the policy in the game. This is implemented only for 2 players constant-sum games, and is equivalent to NashConv / num_players in that case. Prefer using `nash_conv`. Args: game: An open_spiel game, e.g. kuhn_poker policy: A `policy.Policy` object. This policy should depend...
Returns the exploitability of the policy in the game.
[ "Returns", "the", "exploitability", "of", "the", "policy", "in", "the", "game", "." ]
def exploitability(game, policy): """Returns the exploitability of the policy in the game. This is implemented only for 2 players constant-sum games, and is equivalent to NashConv / num_players in that case. Prefer using `nash_conv`. Args: game: An open_spiel game, e.g. kuhn_poker policy: A `policy.Po...
[ "def", "exploitability", "(", "game", ",", "policy", ")", ":", "if", "game", ".", "num_players", "(", ")", "!=", "2", ":", "raise", "ValueError", "(", "\"Game must be a 2-player game\"", ")", "game_info", "=", "game", ".", "get_type", "(", ")", "if", "game...
https://github.com/deepmind/open_spiel/blob/4ca53bea32bb2875c7385d215424048ae92f78c8/open_spiel/python/algorithms/exploitability.py#L114-L151
baidu/bigflow
449245016c0df7d1252e85581e588bfc60cefad3
bigflow_python/python/bigflow/pipeline/pipeline_base.py
python
PipelineBase.add_egg_file
(self, file_path)
向Pipeline添加一个egg文件,使得该文件会在运行期自动被添加到PYTHONPATH中 Args: file_path (str): egg文件路径
向Pipeline添加一个egg文件,使得该文件会在运行期自动被添加到PYTHONPATH中
[ "向Pipeline添加一个egg文件,使得该文件会在运行期自动被添加到PYTHONPATH中" ]
def add_egg_file(self, file_path): """ 向Pipeline添加一个egg文件,使得该文件会在运行期自动被添加到PYTHONPATH中 Args: file_path (str): egg文件路径 """ self._resource.add_egg_file(file_path)
[ "def", "add_egg_file", "(", "self", ",", "file_path", ")", ":", "self", ".", "_resource", ".", "add_egg_file", "(", "file_path", ")" ]
https://github.com/baidu/bigflow/blob/449245016c0df7d1252e85581e588bfc60cefad3/bigflow_python/python/bigflow/pipeline/pipeline_base.py#L137-L144
scummvm/scummvm
9c039d027e7ffb9d83ae2e274147e2daf8d57ce2
devtools/themeparser.py
python
STXBinaryFile.__parseDrawStepToBin
(self, stepDict)
return stepBin
/BBBBiiiiiBBB4s4s4s4s4sB/ == function (byte) fill (byte) stroke (byte) gradient_factor (byte) width (int32) height (int32) xpos (int32) ypos (int32) radius (int32) bevel (byte) shadow (byte) orientation (byte) file (byte) fg_color (4 byte) bg_color ...
/BBBBiiiiiBBB4s4s4s4s4sB/ == function (byte) fill (byte) stroke (byte) gradient_factor (byte) width (int32) height (int32) xpos (int32) ypos (int32) radius (int32) bevel (byte) shadow (byte) orientation (byte) file (byte) fg_color (4 byte) bg_color ...
[ "/", "BBBBiiiiiBBB4s4s4s4s4sB", "/", "==", "function", "(", "byte", ")", "fill", "(", "byte", ")", "stroke", "(", "byte", ")", "gradient_factor", "(", "byte", ")", "width", "(", "int32", ")", "height", "(", "int32", ")", "xpos", "(", "int32", ")", "ypo...
def __parseDrawStepToBin(self, stepDict): """ /BBBBiiiiiBBB4s4s4s4s4sB/ == function (byte) fill (byte) stroke (byte) gradient_factor (byte) width (int32) height (int32) xpos (int32) ypos (int32) radius (int32) bevel (byte) shadow (byte) orientation (byte) ...
[ "def", "__parseDrawStepToBin", "(", "self", ",", "stepDict", ")", ":", "packLayout", "=", "\"\"", "packData", "=", "[", "]", "for", "ds", "in", "self", ".", "DS_list", ":", "layout", "=", "self", ".", "DS_data", "[", "ds", "]", ".", "packFormat", "data...
https://github.com/scummvm/scummvm/blob/9c039d027e7ffb9d83ae2e274147e2daf8d57ce2/devtools/themeparser.py#L216-L258
cathywu/Sentiment-Analysis
eb501fd1375c0c3f3ab430f963255f1bb858e659
PyML-0.7.9/PyML/utils/myio.py
python
csvreadArray
(fileName, type = 'float')
return dlmreadArray(fileName, ',', type)
read an array from a file in csv format into a numpy array
read an array from a file in csv format into a numpy array
[ "read", "an", "array", "from", "a", "file", "in", "csv", "format", "into", "a", "numpy", "array" ]
def csvreadArray(fileName, type = 'float') : '''read an array from a file in csv format into a numpy array''' return dlmreadArray(fileName, ',', type)
[ "def", "csvreadArray", "(", "fileName", ",", "type", "=", "'float'", ")", ":", "return", "dlmreadArray", "(", "fileName", ",", "','", ",", "type", ")" ]
https://github.com/cathywu/Sentiment-Analysis/blob/eb501fd1375c0c3f3ab430f963255f1bb858e659/PyML-0.7.9/PyML/utils/myio.py#L104-L107
aws/lumberyard
f85344403c1c2e77ec8c75deb2c116e97b713217
dev/Tools/Python/3.7.10/windows/Lib/idlelib/multicall.py
python
expand_substates
(states)
return statelist
For each item of states return a list containing all combinations of that item with individual bits reset, sorted by the number of set bits.
For each item of states return a list containing all combinations of that item with individual bits reset, sorted by the number of set bits.
[ "For", "each", "item", "of", "states", "return", "a", "list", "containing", "all", "combinations", "of", "that", "item", "with", "individual", "bits", "reset", "sorted", "by", "the", "number", "of", "set", "bits", "." ]
def expand_substates(states): '''For each item of states return a list containing all combinations of that item with individual bits reset, sorted by the number of set bits. ''' def nbits(n): "number of bits set in n base 2" nb = 0 while n: n, rem = divmod(n, 2) ...
[ "def", "expand_substates", "(", "states", ")", ":", "def", "nbits", "(", "n", ")", ":", "\"number of bits set in n base 2\"", "nb", "=", "0", "while", "n", ":", "n", ",", "rem", "=", "divmod", "(", "n", ",", "2", ")", "nb", "+=", "rem", "return", "nb...
https://github.com/aws/lumberyard/blob/f85344403c1c2e77ec8c75deb2c116e97b713217/dev/Tools/Python/3.7.10/windows/Lib/idlelib/multicall.py#L124-L140
freeorion/freeorion
c266a40eccd3a99a17de8fe57c36ef6ba3771665
default/python/AI/ShipDesignAI.py
python
ShipDesigner._combinatorial_filling
(self, available_parts)
return rating, partlist
Fill the design using a combinatorial approach. This generic filling algorithm considers the problem of filling the slots as combinatorial problem. We are interested in the best combination of parts without considering order. In general, this yields (n+k-1) choose k possibilities in total per s...
Fill the design using a combinatorial approach.
[ "Fill", "the", "design", "using", "a", "combinatorial", "approach", "." ]
def _combinatorial_filling(self, available_parts): """Fill the design using a combinatorial approach. This generic filling algorithm considers the problem of filling the slots as combinatorial problem. We are interested in the best combination of parts without considering order. In gene...
[ "def", "_combinatorial_filling", "(", "self", ",", "available_parts", ")", ":", "number_of_slots_by_slottype", "=", "Counter", "(", ")", "for", "slot", "in", "self", ".", "hull", ".", "slots", ":", "number_of_slots_by_slottype", "[", "slot", "]", "+=", "1", "p...
https://github.com/freeorion/freeorion/blob/c266a40eccd3a99a17de8fe57c36ef6ba3771665/default/python/AI/ShipDesignAI.py#L1204-L1309
lammps/lammps
b75c3065430a75b1b5543a10e10f46d9b4c91913
tools/i-pi/ipi/engine/normalmodes.py
python
NormalModes.get_kin
(self)
return self.kins.sum()
Gets the total MD kinetic energy. Note that this does not correspond to the quantum kinetic energy estimate for the system. Returns: The sum of the kinetic energy of each NM in the path.
Gets the total MD kinetic energy.
[ "Gets", "the", "total", "MD", "kinetic", "energy", "." ]
def get_kin(self): """Gets the total MD kinetic energy. Note that this does not correspond to the quantum kinetic energy estimate for the system. Returns: The sum of the kinetic energy of each NM in the path. """ return self.kins.sum()
[ "def", "get_kin", "(", "self", ")", ":", "return", "self", ".", "kins", ".", "sum", "(", ")" ]
https://github.com/lammps/lammps/blob/b75c3065430a75b1b5543a10e10f46d9b4c91913/tools/i-pi/ipi/engine/normalmodes.py#L363-L373
mindspore-ai/mindspore
fb8fd3338605bb34fa5cea054e535a8b1d753fab
mindspore/python/mindspore/ops/operations/nn_ops.py
python
AdaptiveAvgPool2D.__init__
(self, output_size)
Initialize AdaptiveAvgPool2D.
Initialize AdaptiveAvgPool2D.
[ "Initialize", "AdaptiveAvgPool2D", "." ]
def __init__(self, output_size): """Initialize AdaptiveAvgPool2D.""" validator.check_value_type("output_size", output_size, [int, tuple], self.name) if isinstance(output_size, tuple): validator.check_int(len(output_size), 2, Rel.EQ, 'length of output_size', self.name) self.ou...
[ "def", "__init__", "(", "self", ",", "output_size", ")", ":", "validator", ".", "check_value_type", "(", "\"output_size\"", ",", "output_size", ",", "[", "int", ",", "tuple", "]", ",", "self", ".", "name", ")", "if", "isinstance", "(", "output_size", ",", ...
https://github.com/mindspore-ai/mindspore/blob/fb8fd3338605bb34fa5cea054e535a8b1d753fab/mindspore/python/mindspore/ops/operations/nn_ops.py#L266-L271
catboost/catboost
167f64f237114a4d10b2b4ee42adb4569137debe
contrib/python/scikit-learn/py2/sklearn/externals/joblib/memory.py
python
MemorizedFunc.call
(self, *args, **kwargs)
return output, metadata
Force the execution of the function with the given arguments and persist the output values.
Force the execution of the function with the given arguments and persist the output values.
[ "Force", "the", "execution", "of", "the", "function", "with", "the", "given", "arguments", "and", "persist", "the", "output", "values", "." ]
def call(self, *args, **kwargs): """ Force the execution of the function with the given arguments and persist the output values. """ start_time = time.time() output_dir, _ = self._get_output_dir(*args, **kwargs) if self._verbose > 0: print(format_call(self...
[ "def", "call", "(", "self", ",", "*", "args", ",", "*", "*", "kwargs", ")", ":", "start_time", "=", "time", ".", "time", "(", ")", "output_dir", ",", "_", "=", "self", ".", "_get_output_dir", "(", "*", "args", ",", "*", "*", "kwargs", ")", "if", ...
https://github.com/catboost/catboost/blob/167f64f237114a4d10b2b4ee42adb4569137debe/contrib/python/scikit-learn/py2/sklearn/externals/joblib/memory.py#L667-L684
scanner-research/scanner
04a0c4b4196341995985acd729c0788aab823e1c
python/scannerpy/streams.py
python
StreamsGenerator.RepeatNull
(self, input: scannerpy.op.OpColumn, spacings)
return self._sc.ops.Space( col=input, extra={'type': 'RepeatNull', 'arg_builder': arg_builder, 'job_args': spacings})
r"""Expands a sequence by inserting nulls. Parameters ---------- input The stream to expand. spacing Returns ------- scannerpy.op.OpColumn The sampled stream.
r"""Expands a sequence by inserting nulls.
[ "r", "Expands", "a", "sequence", "by", "inserting", "nulls", "." ]
def RepeatNull(self, input: scannerpy.op.OpColumn, spacings) -> scannerpy.op.OpColumn: r"""Expands a sequence by inserting nulls. Parameters ---------- input The stream to expand. spacing Returns ------- s...
[ "def", "RepeatNull", "(", "self", ",", "input", ":", "scannerpy", ".", "op", ".", "OpColumn", ",", "spacings", ")", "->", "scannerpy", ".", "op", ".", "OpColumn", ":", "def", "arg_builder", "(", "spacing", ")", ":", "args", "=", "protobufs", ".", "Spac...
https://github.com/scanner-research/scanner/blob/04a0c4b4196341995985acd729c0788aab823e1c/python/scannerpy/streams.py#L320-L349
snap-stanford/snap-python
d53c51b0a26aa7e3e7400b014cdf728948fde80a
setup/snap.py
python
TStrUtil_SplitSentences
(*args)
return _snap.TStrUtil_SplitSentences(*args)
TStrUtil_SplitSentences(TChA ChA, TVec< char * > & SentenceV) -> int Parameters: ChA: TChA & SentenceV: TVec< char * > &
TStrUtil_SplitSentences(TChA ChA, TVec< char * > & SentenceV) -> int
[ "TStrUtil_SplitSentences", "(", "TChA", "ChA", "TVec<", "char", "*", ">", "&", "SentenceV", ")", "-", ">", "int" ]
def TStrUtil_SplitSentences(*args): """ TStrUtil_SplitSentences(TChA ChA, TVec< char * > & SentenceV) -> int Parameters: ChA: TChA & SentenceV: TVec< char * > & """ return _snap.TStrUtil_SplitSentences(*args)
[ "def", "TStrUtil_SplitSentences", "(", "*", "args", ")", ":", "return", "_snap", ".", "TStrUtil_SplitSentences", "(", "*", "args", ")" ]
https://github.com/snap-stanford/snap-python/blob/d53c51b0a26aa7e3e7400b014cdf728948fde80a/setup/snap.py#L7434-L7443
tensorflow/tensorflow
419e3a6b650ea4bd1b0cba23c4348f8a69f3272e
tensorflow/python/distribute/coordinator/values.py
python
PerWorkerDatasetFromDatasetFunction.element_spec
(self)
return self._dataset_fn.structured_outputs.element_spec
The type specification of an element of this dataset. This property is subject to change without notice.
The type specification of an element of this dataset.
[ "The", "type", "specification", "of", "an", "element", "of", "this", "dataset", "." ]
def element_spec(self): """The type specification of an element of this dataset. This property is subject to change without notice. """ if not isinstance(self._dataset_fn, tf_function.ConcreteFunction): raise NotImplementedError( "`element_spec` is not supported when the `dataset_fn` is...
[ "def", "element_spec", "(", "self", ")", ":", "if", "not", "isinstance", "(", "self", ".", "_dataset_fn", ",", "tf_function", ".", "ConcreteFunction", ")", ":", "raise", "NotImplementedError", "(", "\"`element_spec` is not supported when the `dataset_fn` is not \"", "\"...
https://github.com/tensorflow/tensorflow/blob/419e3a6b650ea4bd1b0cba23c4348f8a69f3272e/tensorflow/python/distribute/coordinator/values.py#L371-L380
Xilinx/Vitis-AI
fc74d404563d9951b57245443c73bef389f3657f
tools/Vitis-AI-Quantizer/vai_q_tensorflow1.x/tensorflow/python/data/ops/dataset_ops.py
python
ParallelMapDataset.__init__
(self, input_dataset, map_func, num_parallel_calls, use_inter_op_parallelism=True, preserve_cardinality=False, use_legacy_function=False)
See `Dataset.map()` for details.
See `Dataset.map()` for details.
[ "See", "Dataset", ".", "map", "()", "for", "details", "." ]
def __init__(self, input_dataset, map_func, num_parallel_calls, use_inter_op_parallelism=True, preserve_cardinality=False, use_legacy_function=False): """See `Dataset.map()` for details.""" self._input_dataset = input_data...
[ "def", "__init__", "(", "self", ",", "input_dataset", ",", "map_func", ",", "num_parallel_calls", ",", "use_inter_op_parallelism", "=", "True", ",", "preserve_cardinality", "=", "False", ",", "use_legacy_function", "=", "False", ")", ":", "self", ".", "_input_data...
https://github.com/Xilinx/Vitis-AI/blob/fc74d404563d9951b57245443c73bef389f3657f/tools/Vitis-AI-Quantizer/vai_q_tensorflow1.x/tensorflow/python/data/ops/dataset_ops.py#L3458-L3484
benoitsteiner/tensorflow-opencl
cb7cb40a57fde5cfd4731bc551e82a1e2fef43a5
tensorflow/contrib/kfac/python/ops/fisher_blocks.py
python
NaiveDiagonalFB.__init__
(self, layer_collection, params, batch_size)
Creates a NaiveDiagonalFB block. Args: layer_collection: The collection of all layers in the K-FAC approximate Fisher information matrix to which this FisherBlock belongs. params: The parameters of this layer (Tensor or tuple of Tensors). batch_size: The batch size, used in the covarian...
Creates a NaiveDiagonalFB block.
[ "Creates", "a", "NaiveDiagonalFB", "block", "." ]
def __init__(self, layer_collection, params, batch_size): """Creates a NaiveDiagonalFB block. Args: layer_collection: The collection of all layers in the K-FAC approximate Fisher information matrix to which this FisherBlock belongs. params: The parameters of this layer (Tensor or tuple of...
[ "def", "__init__", "(", "self", ",", "layer_collection", ",", "params", ",", "batch_size", ")", ":", "self", ".", "_params", "=", "params", "self", ".", "_batch_size", "=", "batch_size", "super", "(", "NaiveDiagonalFB", ",", "self", ")", ".", "__init__", "...
https://github.com/benoitsteiner/tensorflow-opencl/blob/cb7cb40a57fde5cfd4731bc551e82a1e2fef43a5/tensorflow/contrib/kfac/python/ops/fisher_blocks.py#L189-L201
microsoft/TSS.MSR
0f2516fca2cd9929c31d5450e39301c9bde43688
TSS.Py/src/TpmTypes.py
python
TPMS_PCR_SELECTION.__init__
(self, hash = TPM_ALG_ID.NULL, pcrSelect = None)
Table 94 Definition of TPMS_PCR_SELECTION Structure Attributes: hash (TPM_ALG_ID): The hash algorithm associated with the selection pcrSelect (bytes): The bit map of selected PCR
Table 94 Definition of TPMS_PCR_SELECTION Structure
[ "Table", "94", "Definition", "of", "TPMS_PCR_SELECTION", "Structure" ]
def __init__(self, hash = TPM_ALG_ID.NULL, pcrSelect = None): """ Table 94 Definition of TPMS_PCR_SELECTION Structure Attributes: hash (TPM_ALG_ID): The hash algorithm associated with the selection pcrSelect (bytes): The bit map of selected PCR """ self.hash = ha...
[ "def", "__init__", "(", "self", ",", "hash", "=", "TPM_ALG_ID", ".", "NULL", ",", "pcrSelect", "=", "None", ")", ":", "self", ".", "hash", "=", "hash", "self", ".", "pcrSelect", "=", "pcrSelect" ]
https://github.com/microsoft/TSS.MSR/blob/0f2516fca2cd9929c31d5450e39301c9bde43688/TSS.Py/src/TpmTypes.py#L4052-L4060
p4lang/PI
38d87e81253feff9fff0660d662c885be78fb719
tools/cpplint.py
python
_CppLintState.RestoreFilters
(self)
Restores filters previously backed up.
Restores filters previously backed up.
[ "Restores", "filters", "previously", "backed", "up", "." ]
def RestoreFilters(self): """ Restores filters previously backed up.""" self.filters = self._filters_backup[:]
[ "def", "RestoreFilters", "(", "self", ")", ":", "self", ".", "filters", "=", "self", ".", "_filters_backup", "[", ":", "]" ]
https://github.com/p4lang/PI/blob/38d87e81253feff9fff0660d662c885be78fb719/tools/cpplint.py#L1326-L1328
Xilinx/Vitis-AI
fc74d404563d9951b57245443c73bef389f3657f
tools/Vitis-AI-Quantizer/vai_q_tensorflow2.x/tensorflow_model_optimization/python/core/quantization/keras/quant_ops.py
python
MovingAvgQuantize
(inputs, min_var, max_var, per_channel=False, ema_decay=0.999, name_prefix='MovingAvgQuantize', is_training=True, num_bits=8, narrow_range=False...
Adds a layer that collects quantization ranges as EMAs of input ranges. MovingAvgQuantize creates variables called 'min' and 'max', representing the interval used for quantization and clamping. Args: inputs: a tensor containing values to be quantized. per_channel: (default False) a boolean specifying wh...
Adds a layer that collects quantization ranges as EMAs of input ranges.
[ "Adds", "a", "layer", "that", "collects", "quantization", "ranges", "as", "EMAs", "of", "input", "ranges", "." ]
def MovingAvgQuantize(inputs, min_var, max_var, per_channel=False, ema_decay=0.999, name_prefix='MovingAvgQuantize', is_training=True, num_bits=8, ...
[ "def", "MovingAvgQuantize", "(", "inputs", ",", "min_var", ",", "max_var", ",", "per_channel", "=", "False", ",", "ema_decay", "=", "0.999", ",", "name_prefix", "=", "'MovingAvgQuantize'", ",", "is_training", "=", "True", ",", "num_bits", "=", "8", ",", "nar...
https://github.com/Xilinx/Vitis-AI/blob/fc74d404563d9951b57245443c73bef389f3657f/tools/Vitis-AI-Quantizer/vai_q_tensorflow2.x/tensorflow_model_optimization/python/core/quantization/keras/quant_ops.py#L212-L308
timi-liuliang/echo
40a5a24d430eee4118314459ab7e03afcb3b8719
thirdparty/protobuf/python/google/protobuf/descriptor_pool.py
python
DescriptorPool.SetFieldType
(self, field_proto, field_desc, package, scope)
Sets the field's type, cpp_type, message_type and enum_type. Args: field_proto: Data about the field in proto format. field_desc: The descriptor to modiy. package: The package the field's container is in. scope: Enclosing scope of available types.
Sets the field's type, cpp_type, message_type and enum_type.
[ "Sets", "the", "field", "s", "type", "cpp_type", "message_type", "and", "enum_type", "." ]
def SetFieldType(self, field_proto, field_desc, package, scope): """Sets the field's type, cpp_type, message_type and enum_type. Args: field_proto: Data about the field in proto format. field_desc: The descriptor to modiy. package: The package the field's container is in. scope: Enclosi...
[ "def", "SetFieldType", "(", "self", ",", "field_proto", ",", "field_desc", ",", "package", ",", "scope", ")", ":", "if", "field_proto", ".", "type_name", ":", "desc", "=", "self", ".", "_GetTypeFromScope", "(", "package", ",", "field_proto", ".", "type_name"...
https://github.com/timi-liuliang/echo/blob/40a5a24d430eee4118314459ab7e03afcb3b8719/thirdparty/protobuf/python/google/protobuf/descriptor_pool.py#L513-L567
natanielruiz/android-yolo
1ebb54f96a67a20ff83ddfc823ed83a13dc3a47f
jni-build/jni/include/tensorflow/contrib/rnn/python/ops/lstm_ops.py
python
_FusedLSTMGradShape
(op)
return [x_shape] * max_len + [cs_prev_shape, h_prev_shape, w_shape, wci_shape, wco_shape, wcf_shape, b_shape]
Shape for FusedLSTM.
Shape for FusedLSTM.
[ "Shape", "for", "FusedLSTM", "." ]
def _FusedLSTMGradShape(op): """Shape for FusedLSTM.""" max_len = op.get_attr("max_len") x = op.inputs[1] cs_prev = op.inputs[1 + max_len] h_prev = op.inputs[2 + max_len] w = op.inputs[3 + max_len] wci = op.inputs[4 + max_len] wco = op.inputs[5 + max_len] wcf = op.inputs[6 + max_len] b = op.inputs[...
[ "def", "_FusedLSTMGradShape", "(", "op", ")", ":", "max_len", "=", "op", ".", "get_attr", "(", "\"max_len\"", ")", "x", "=", "op", ".", "inputs", "[", "1", "]", "cs_prev", "=", "op", ".", "inputs", "[", "1", "+", "max_len", "]", "h_prev", "=", "op"...
https://github.com/natanielruiz/android-yolo/blob/1ebb54f96a67a20ff83ddfc823ed83a13dc3a47f/jni-build/jni/include/tensorflow/contrib/rnn/python/ops/lstm_ops.py#L369-L392
leosac/leosac
932a2a90bd2e75483d46b24fdbc8f02e0809d731
python/leosacpy/wsclient.py
python
LowLevelWSClient.connect
(self, target, timeout=45, autoread=True)
Connect to target. :param target: URL to connect to ('ws://blah:1234') :param timeout: Timeout before aborting connection attempt :param autoread: Should the client automatically read message. See below If ``autoread`` is true, the client will setup a coroutine that will ...
Connect to target. :param target: URL to connect to ('ws://blah:1234') :param timeout: Timeout before aborting connection attempt :param autoread: Should the client automatically read message. See below If ``autoread`` is true, the client will setup a coroutine that will ...
[ "Connect", "to", "target", ".", ":", "param", "target", ":", "URL", "to", "connect", "to", "(", "ws", ":", "//", "blah", ":", "1234", ")", ":", "param", "timeout", ":", "Timeout", "before", "aborting", "connection", "attempt", ":", "param", "autoread", ...
async def connect(self, target, timeout=45, autoread=True): """ Connect to target. :param target: URL to connect to ('ws://blah:1234') :param timeout: Timeout before aborting connection attempt :param autoread: Should the client automatically read message. See below ...
[ "async", "def", "connect", "(", "self", ",", "target", ",", "timeout", "=", "45", ",", "autoread", "=", "True", ")", ":", "last_ex", "=", "None", "start_time", "=", "time", ".", "time", "(", ")", "while", "time", ".", "time", "(", ")", "<", "start_...
https://github.com/leosac/leosac/blob/932a2a90bd2e75483d46b24fdbc8f02e0809d731/python/leosacpy/wsclient.py#L69-L100
wxWidgets/wxPython-Classic
19571e1ae65f1ac445f5491474121998c97a1bf0
src/osx_cocoa/dataview.py
python
DataViewTreeStore.DeleteChildren
(*args, **kwargs)
return _dataview.DataViewTreeStore_DeleteChildren(*args, **kwargs)
DeleteChildren(self, DataViewItem item)
DeleteChildren(self, DataViewItem item)
[ "DeleteChildren", "(", "self", "DataViewItem", "item", ")" ]
def DeleteChildren(*args, **kwargs): """DeleteChildren(self, DataViewItem item)""" return _dataview.DataViewTreeStore_DeleteChildren(*args, **kwargs)
[ "def", "DeleteChildren", "(", "*", "args", ",", "*", "*", "kwargs", ")", ":", "return", "_dataview", ".", "DataViewTreeStore_DeleteChildren", "(", "*", "args", ",", "*", "*", "kwargs", ")" ]
https://github.com/wxWidgets/wxPython-Classic/blob/19571e1ae65f1ac445f5491474121998c97a1bf0/src/osx_cocoa/dataview.py#L2448-L2450
msftguy/ssh-rd
a5f3a79daeac5844edebf01916c9613563f1c390
_3rd/boost_1_48_0/tools/build/v2/build/feature.py
python
set_default
(feature, value)
Sets the default value of the given feature, overriding any previous default. feature: the name of the feature value: the default value to assign
Sets the default value of the given feature, overriding any previous default. feature: the name of the feature value: the default value to assign
[ "Sets", "the", "default", "value", "of", "the", "given", "feature", "overriding", "any", "previous", "default", ".", "feature", ":", "the", "name", "of", "the", "feature", "value", ":", "the", "default", "value", "to", "assign" ]
def set_default (feature, value): """ Sets the default value of the given feature, overriding any previous default. feature: the name of the feature value: the default value to assign """ f = __all_features[feature] attributes = f.attributes() bad_attribute = None if attributes ...
[ "def", "set_default", "(", "feature", ",", "value", ")", ":", "f", "=", "__all_features", "[", "feature", "]", "attributes", "=", "f", ".", "attributes", "(", ")", "bad_attribute", "=", "None", "if", "attributes", "&", "Feature", ".", "FREE", ":", "bad_a...
https://github.com/msftguy/ssh-rd/blob/a5f3a79daeac5844edebf01916c9613563f1c390/_3rd/boost_1_48_0/tools/build/v2/build/feature.py#L186-L206
domino-team/openwrt-cc
8b181297c34d14d3ca521cc9f31430d561dbc688
package/gli-pub/openwrt-node-packages-master/node/node-v6.9.1/deps/v8_inspector/third_party/jinja2/jinja2/optimizer.py
python
optimize
(node, environment)
return optimizer.visit(node)
The context hint can be used to perform an static optimization based on the context given.
The context hint can be used to perform an static optimization based on the context given.
[ "The", "context", "hint", "can", "be", "used", "to", "perform", "an", "static", "optimization", "based", "on", "the", "context", "given", "." ]
def optimize(node, environment): """The context hint can be used to perform an static optimization based on the context given.""" optimizer = Optimizer(environment) return optimizer.visit(node)
[ "def", "optimize", "(", "node", ",", "environment", ")", ":", "optimizer", "=", "Optimizer", "(", "environment", ")", "return", "optimizer", ".", "visit", "(", "node", ")" ]
https://github.com/domino-team/openwrt-cc/blob/8b181297c34d14d3ca521cc9f31430d561dbc688/package/gli-pub/openwrt-node-packages-master/node/node-v6.9.1/deps/v8_inspector/third_party/jinja2/jinja2/optimizer.py#L23-L27
deepmind/open_spiel
4ca53bea32bb2875c7385d215424048ae92f78c8
open_spiel/python/algorithms/rcfr.py
python
ReservoirRcfrSolver.evaluate_and_update_policy
(self, train_fn)
Performs a single step of policy evaluation and policy improvement. Args: train_fn: A (model, `tf.data.Dataset`) function that trains the given regression model to accurately reproduce the x to y mapping given x-y data.
Performs a single step of policy evaluation and policy improvement.
[ "Performs", "a", "single", "step", "of", "policy", "evaluation", "and", "policy", "improvement", "." ]
def evaluate_and_update_policy(self, train_fn): """Performs a single step of policy evaluation and policy improvement. Args: train_fn: A (model, `tf.data.Dataset`) function that trains the given regression model to accurately reproduce the x to y mapping given x-y data. """ sequen...
[ "def", "evaluate_and_update_policy", "(", "self", ",", "train_fn", ")", ":", "sequence_weights", "=", "self", ".", "_sequence_weights", "(", ")", "player_seq_features", "=", "self", ".", "_root_wrapper", ".", "sequence_features", "for", "regret_player", "in", "range...
https://github.com/deepmind/open_spiel/blob/4ca53bea32bb2875c7385d215424048ae92f78c8/open_spiel/python/algorithms/rcfr.py#L844-L878
Kitware/ParaView
f760af9124ff4634b23ebbeab95a4f56e0261955
Wrapping/Python/paraview/coprocessing.py
python
CoProcessor.SetUpdateFrequencies
(self, frequencies)
Set the frequencies at which the pipeline needs to be updated. Typically, this is called by the subclass once it has determined what timesteps co-processing will be needed to be done. frequencies is a map, with key->string name of for the simulation input, and value is a list...
Set the frequencies at which the pipeline needs to be updated. Typically, this is called by the subclass once it has determined what timesteps co-processing will be needed to be done. frequencies is a map, with key->string name of for the simulation input, and value is a list...
[ "Set", "the", "frequencies", "at", "which", "the", "pipeline", "needs", "to", "be", "updated", ".", "Typically", "this", "is", "called", "by", "the", "subclass", "once", "it", "has", "determined", "what", "timesteps", "co", "-", "processing", "will", "be", ...
def SetUpdateFrequencies(self, frequencies): """Set the frequencies at which the pipeline needs to be updated. Typically, this is called by the subclass once it has determined what timesteps co-processing will be needed to be done. frequencies is a map, with key->string name of ...
[ "def", "SetUpdateFrequencies", "(", "self", ",", "frequencies", ")", ":", "if", "type", "(", "frequencies", ")", "!=", "dict", ":", "raise", "RuntimeError", "(", "\"Incorrect argument type: %s, must be a dict\"", "%", "type", "(", "frequencies", ")", ")", "self", ...
https://github.com/Kitware/ParaView/blob/f760af9124ff4634b23ebbeab95a4f56e0261955/Wrapping/Python/paraview/coprocessing.py#L80-L90
Xilinx/Vitis-AI
fc74d404563d9951b57245443c73bef389f3657f
tools/Vitis-AI-Quantizer/vai_q_tensorflow1.x/tensorflow/contrib/eager/python/network.py
python
_network_name_scope_naming
(current_variable_scope)
return current_variable_scope.name + "/"
Name scope naming to match operation names to variable names. Used in Networks and also applied to non-Network Layers which are added to Networks before being built. Args: current_variable_scope: A VariableScope object. Returns: A name scope name.
Name scope naming to match operation names to variable names.
[ "Name", "scope", "naming", "to", "match", "operation", "names", "to", "variable", "names", "." ]
def _network_name_scope_naming(current_variable_scope): """Name scope naming to match operation names to variable names. Used in Networks and also applied to non-Network Layers which are added to Networks before being built. Args: current_variable_scope: A VariableScope object. Returns: A name scop...
[ "def", "_network_name_scope_naming", "(", "current_variable_scope", ")", ":", "return", "current_variable_scope", ".", "name", "+", "\"/\"" ]
https://github.com/Xilinx/Vitis-AI/blob/fc74d404563d9951b57245443c73bef389f3657f/tools/Vitis-AI-Quantizer/vai_q_tensorflow1.x/tensorflow/contrib/eager/python/network.py#L43-L55
miyosuda/TensorFlowAndroidMNIST
7b5a4603d2780a8a2834575706e9001977524007
jni-build/jni/include/tensorflow/python/ops/variable_scope.py
python
VariableScope._get_partitioned_variable
(self, var_store, name, shape=None, dtype=None, initializer=None, regularizer=None, trainable=Tr...
Gets an existing variable with this name or create a new one.
Gets an existing variable with this name or create a new one.
[ "Gets", "an", "existing", "variable", "with", "this", "name", "or", "create", "a", "new", "one", "." ]
def _get_partitioned_variable(self, var_store, name, shape=None, dtype=None, initializer=None, regularizer=None, ...
[ "def", "_get_partitioned_variable", "(", "self", ",", "var_store", ",", "name", ",", "shape", "=", "None", ",", "dtype", "=", "None", ",", "initializer", "=", "None", ",", "regularizer", "=", "None", ",", "trainable", "=", "True", ",", "collections", "=", ...
https://github.com/miyosuda/TensorFlowAndroidMNIST/blob/7b5a4603d2780a8a2834575706e9001977524007/jni-build/jni/include/tensorflow/python/ops/variable_scope.py#L702-L755
krishauser/Klampt
972cc83ea5befac3f653c1ba20f80155768ad519
Python/klampt/plan/motionplanning.py
python
CSpaceInterface.setVisibility
(self, pyVisible: object)
return _motionplanning.CSpaceInterface_setVisibility(self, pyVisible)
r""" Args: pyVisible (:obj:`object`)
r""" Args: pyVisible (:obj:`object`)
[ "r", "Args", ":", "pyVisible", "(", ":", "obj", ":", "object", ")" ]
def setVisibility(self, pyVisible: object) ->None: r""" Args: pyVisible (:obj:`object`) """ return _motionplanning.CSpaceInterface_setVisibility(self, pyVisible)
[ "def", "setVisibility", "(", "self", ",", "pyVisible", ":", "object", ")", "->", "None", ":", "return", "_motionplanning", ".", "CSpaceInterface_setVisibility", "(", "self", ",", "pyVisible", ")" ]
https://github.com/krishauser/Klampt/blob/972cc83ea5befac3f653c1ba20f80155768ad519/Python/klampt/plan/motionplanning.py#L516-L521
freeorion/freeorion
c266a40eccd3a99a17de8fe57c36ef6ba3771665
default/python/AI/FleetUtilsAI.py
python
get_empire_fleet_ids_by_role
(fleet_role)
return fleet_ids_with_role
Returns a list with fleet_ids that have the specified role.
Returns a list with fleet_ids that have the specified role.
[ "Returns", "a", "list", "with", "fleet_ids", "that", "have", "the", "specified", "role", "." ]
def get_empire_fleet_ids_by_role(fleet_role): """Returns a list with fleet_ids that have the specified role.""" fleet_ids = get_empire_fleet_ids() fleet_ids_with_role = [] aistate = get_aistate() for fleet_id in fleet_ids: if aistate.get_fleet_role(fleet_id) != fleet_role: contin...
[ "def", "get_empire_fleet_ids_by_role", "(", "fleet_role", ")", ":", "fleet_ids", "=", "get_empire_fleet_ids", "(", ")", "fleet_ids_with_role", "=", "[", "]", "aistate", "=", "get_aistate", "(", ")", "for", "fleet_id", "in", "fleet_ids", ":", "if", "aistate", "."...
https://github.com/freeorion/freeorion/blob/c266a40eccd3a99a17de8fe57c36ef6ba3771665/default/python/AI/FleetUtilsAI.py#L357-L366
tensorflow/tensorflow
419e3a6b650ea4bd1b0cba23c4348f8a69f3272e
tensorflow/python/summary/writer/event_file_writer.py
python
EventFileWriter.flush
(self)
Flushes the event file to disk. Call this method to make sure that all pending events have been written to disk.
Flushes the event file to disk.
[ "Flushes", "the", "event", "file", "to", "disk", "." ]
def flush(self): """Flushes the event file to disk. Call this method to make sure that all pending events have been written to disk. """ if not self._closed: # Request a flush operation by enqueing a sentinel and then waiting for # the writer thread to mark the flush as complete. ...
[ "def", "flush", "(", "self", ")", ":", "if", "not", "self", ".", "_closed", ":", "# Request a flush operation by enqueing a sentinel and then waiting for", "# the writer thread to mark the flush as complete.", "self", ".", "_flush_complete", ".", "clear", "(", ")", "self", ...
https://github.com/tensorflow/tensorflow/blob/419e3a6b650ea4bd1b0cba23c4348f8a69f3272e/tensorflow/python/summary/writer/event_file_writer.py#L134-L148
ChromiumWebApps/chromium
c7361d39be8abd1574e6ce8957c8dbddd4c6ccf7
tools/diagnose-me.py
python
Check
(name)
return wrap
Decorator that defines a diagnostic check.
Decorator that defines a diagnostic check.
[ "Decorator", "that", "defines", "a", "diagnostic", "check", "." ]
def Check(name): """Decorator that defines a diagnostic check.""" def wrap(func): all_checks.append((name, func)) return func return wrap
[ "def", "Check", "(", "name", ")", ":", "def", "wrap", "(", "func", ")", ":", "all_checks", ".", "append", "(", "(", "name", ",", "func", ")", ")", "return", "func", "return", "wrap" ]
https://github.com/ChromiumWebApps/chromium/blob/c7361d39be8abd1574e6ce8957c8dbddd4c6ccf7/tools/diagnose-me.py#L15-L20
Samsung/veles
95ed733c2e49bc011ad98ccf2416ecec23fbf352
veles/external/freetype/__init__.py
python
Outline.__init__
(self, outline)
Create a new Outline object. :param charmap: a FT_Outline
Create a new Outline object.
[ "Create", "a", "new", "Outline", "object", "." ]
def __init__(self, outline): ''' Create a new Outline object. :param charmap: a FT_Outline ''' self._FT_Outline = outline
[ "def", "__init__", "(", "self", ",", "outline", ")", ":", "self", ".", "_FT_Outline", "=", "outline" ]
https://github.com/Samsung/veles/blob/95ed733c2e49bc011ad98ccf2416ecec23fbf352/veles/external/freetype/__init__.py#L653-L659
snap-stanford/snap-python
d53c51b0a26aa7e3e7400b014cdf728948fde80a
setup/snap.py
python
TInt.Load
(self, *args)
return _snap.TInt_Load(self, *args)
Load(TInt self, TSIn SIn) Parameters: SIn: TSIn &
Load(TInt self, TSIn SIn)
[ "Load", "(", "TInt", "self", "TSIn", "SIn", ")" ]
def Load(self, *args): """ Load(TInt self, TSIn SIn) Parameters: SIn: TSIn & """ return _snap.TInt_Load(self, *args)
[ "def", "Load", "(", "self", ",", "*", "args", ")", ":", "return", "_snap", ".", "TInt_Load", "(", "self", ",", "*", "args", ")" ]
https://github.com/snap-stanford/snap-python/blob/d53c51b0a26aa7e3e7400b014cdf728948fde80a/setup/snap.py#L12944-L12952
hughperkins/tf-coriander
970d3df6c11400ad68405f22b0c42a52374e94ca
tensorflow/python/framework/ops.py
python
Operation.name
(self)
return self._node_def.name
The full name of this operation.
The full name of this operation.
[ "The", "full", "name", "of", "this", "operation", "." ]
def name(self): """The full name of this operation.""" return self._node_def.name
[ "def", "name", "(", "self", ")", ":", "return", "self", ".", "_node_def", ".", "name" ]
https://github.com/hughperkins/tf-coriander/blob/970d3df6c11400ad68405f22b0c42a52374e94ca/tensorflow/python/framework/ops.py#L1351-L1353
mindspore-ai/mindspore
fb8fd3338605bb34fa5cea054e535a8b1d753fab
mindspore/python/mindspore/nn/probability/distribution/uniform.py
python
Uniform._cdf
(self, value, low=None, high=None)
return self.select(comp_hi, less_than_low, ones)
r""" The cumulative distribution function of Uniform distribution. Args: value (Tensor): The value to be evaluated. low (Tensor): The lower bound of the distribution. Default: self.low. high (Tensor): The upper bound of the distribution. Default: self.high. ...
r""" The cumulative distribution function of Uniform distribution.
[ "r", "The", "cumulative", "distribution", "function", "of", "Uniform", "distribution", "." ]
def _cdf(self, value, low=None, high=None): r""" The cumulative distribution function of Uniform distribution. Args: value (Tensor): The value to be evaluated. low (Tensor): The lower bound of the distribution. Default: self.low. high (Tensor): The upper boun...
[ "def", "_cdf", "(", "self", ",", "value", ",", "low", "=", "None", ",", "high", "=", "None", ")", ":", "value", "=", "self", ".", "_check_value", "(", "value", ",", "'value'", ")", "value", "=", "self", ".", "cast", "(", "value", ",", "self", "."...
https://github.com/mindspore-ai/mindspore/blob/fb8fd3338605bb34fa5cea054e535a8b1d753fab/mindspore/python/mindspore/nn/probability/distribution/uniform.py#L335-L359
catboost/catboost
167f64f237114a4d10b2b4ee42adb4569137debe
contrib/python/pandas/py3/pandas/core/internals/managers.py
python
SingleBlockManager.idelete
(self, indexer)
return self
Delete single location from SingleBlockManager. Ensures that self.blocks doesn't become empty.
Delete single location from SingleBlockManager.
[ "Delete", "single", "location", "from", "SingleBlockManager", "." ]
def idelete(self, indexer) -> SingleBlockManager: """ Delete single location from SingleBlockManager. Ensures that self.blocks doesn't become empty. """ self._block.delete(indexer) self.axes[0] = self.axes[0].delete(indexer) return self
[ "def", "idelete", "(", "self", ",", "indexer", ")", "->", "SingleBlockManager", ":", "self", ".", "_block", ".", "delete", "(", "indexer", ")", "self", ".", "axes", "[", "0", "]", "=", "self", ".", "axes", "[", "0", "]", ".", "delete", "(", "indexe...
https://github.com/catboost/catboost/blob/167f64f237114a4d10b2b4ee42adb4569137debe/contrib/python/pandas/py3/pandas/core/internals/managers.py#L1695-L1703
wxWidgets/wxPython-Classic
19571e1ae65f1ac445f5491474121998c97a1bf0
src/osx_carbon/propgrid.py
python
PyChoiceEditor._SetSelf
(*args, **kwargs)
return _propgrid.PyChoiceEditor__SetSelf(*args, **kwargs)
_SetSelf(self, PyObject self)
_SetSelf(self, PyObject self)
[ "_SetSelf", "(", "self", "PyObject", "self", ")" ]
def _SetSelf(*args, **kwargs): """_SetSelf(self, PyObject self)""" return _propgrid.PyChoiceEditor__SetSelf(*args, **kwargs)
[ "def", "_SetSelf", "(", "*", "args", ",", "*", "*", "kwargs", ")", ":", "return", "_propgrid", ".", "PyChoiceEditor__SetSelf", "(", "*", "args", ",", "*", "*", "kwargs", ")" ]
https://github.com/wxWidgets/wxPython-Classic/blob/19571e1ae65f1ac445f5491474121998c97a1bf0/src/osx_carbon/propgrid.py#L4470-L4472
cms-sw/cmssw
fd9de012d503d3405420bcbeec0ec879baa57cf2
Alignment/MuonAlignment/python/svgfig.py
python
load_stream
(stream)
return ch.output
Loads an SVG image from a stream (can be a string or a file object).
Loads an SVG image from a stream (can be a string or a file object).
[ "Loads", "an", "SVG", "image", "from", "a", "stream", "(", "can", "be", "a", "string", "or", "a", "file", "object", ")", "." ]
def load_stream(stream): """Loads an SVG image from a stream (can be a string or a file object).""" from xml.sax import handler, make_parser from xml.sax.handler import feature_namespaces, feature_external_ges, feature_external_pes class ContentHandler(handler.ContentHandler): def __init__(self): se...
[ "def", "load_stream", "(", "stream", ")", ":", "from", "xml", ".", "sax", "import", "handler", ",", "make_parser", "from", "xml", ".", "sax", ".", "handler", "import", "feature_namespaces", ",", "feature_external_ges", ",", "feature_external_pes", "class", "Cont...
https://github.com/cms-sw/cmssw/blob/fd9de012d503d3405420bcbeec0ec879baa57cf2/Alignment/MuonAlignment/python/svgfig.py#L551-L594
catboost/catboost
167f64f237114a4d10b2b4ee42adb4569137debe
contrib/tools/python/src/Lib/fractions.py
python
Fraction.__repr__
(self)
return ('Fraction(%s, %s)' % (self._numerator, self._denominator))
repr(self)
repr(self)
[ "repr", "(", "self", ")" ]
def __repr__(self): """repr(self)""" return ('Fraction(%s, %s)' % (self._numerator, self._denominator))
[ "def", "__repr__", "(", "self", ")", ":", "return", "(", "'Fraction(%s, %s)'", "%", "(", "self", ".", "_numerator", ",", "self", ".", "_denominator", ")", ")" ]
https://github.com/catboost/catboost/blob/167f64f237114a4d10b2b4ee42adb4569137debe/contrib/tools/python/src/Lib/fractions.py#L269-L271
generalized-intelligence/GAAS
29ab17d3e8a4ba18edef3a57c36d8db6329fac73
algorithms/src/LocalizationAndMapping/icp_lidar_localization/fast_gicp/thirdparty/Sophus/py/sophus/se3.py
python
Se3.vee
(Omega)
return upsilon_omega
R^4x4 => R^6
R^4x4 => R^6
[ "R^4x4", "=", ">", "R^6" ]
def vee(Omega): """ R^4x4 => R^6 """ """ returns 6-vector representation of Lie algebra """ """ This is the inverse of the hat-operator """ head = sophus.Vector3(Omega[0,3], Omega[1,3], Omega[2,3]) tail = sophus.So3.vee(Omega[0:3,0:3]) upsilon_omega = \ ...
[ "def", "vee", "(", "Omega", ")", ":", "\"\"\" returns 6-vector representation of Lie algebra \"\"\"", "\"\"\" This is the inverse of the hat-operator \"\"\"", "head", "=", "sophus", ".", "Vector3", "(", "Omega", "[", "0", ",", "3", "]", ",", "Omega", "[", "1", ",", ...
https://github.com/generalized-intelligence/GAAS/blob/29ab17d3e8a4ba18edef3a57c36d8db6329fac73/algorithms/src/LocalizationAndMapping/icp_lidar_localization/fast_gicp/thirdparty/Sophus/py/sophus/se3.py#L67-L76
google/mysql-protobuf
467cda676afaa49e762c5c9164a43f6ad31a1fbf
storage/ndb/mcc/util.py
python
try_connect
(url_host, port, success=True, retdict={})
Test connectability of url_host and port. Return success if connection attempt was successful. If the connection attempt throws a socket.error and its errno is a key in retdict, the corresponding retdict value is returned. Any other exception propagated.
Test connectability of url_host and port. Return success if connection attempt was successful. If the connection attempt throws a socket.error and its errno is a key in retdict, the corresponding retdict value is returned. Any other exception propagated.
[ "Test", "connectability", "of", "url_host", "and", "port", ".", "Return", "success", "if", "connection", "attempt", "was", "successful", ".", "If", "the", "connection", "attempt", "throws", "a", "socket", ".", "error", "and", "its", "errno", "is", "a", "key"...
def try_connect(url_host, port, success=True, retdict={}): """Test connectability of url_host and port. Return success if connection attempt was successful. If the connection attempt throws a socket.error and its errno is a key in retdict, the corresponding retdict value is returned. Any other exception ...
[ "def", "try_connect", "(", "url_host", ",", "port", ",", "success", "=", "True", ",", "retdict", "=", "{", "}", ")", ":", "s", "=", "None", "try", ":", "s", "=", "socket", ".", "create_connection", "(", "(", "url_host", ",", "port", ")", ")", "exce...
https://github.com/google/mysql-protobuf/blob/467cda676afaa49e762c5c9164a43f6ad31a1fbf/storage/ndb/mcc/util.py#L55-L74
aws/lumberyard
f85344403c1c2e77ec8c75deb2c116e97b713217
dev/Tools/Python/3.7.10/linux_x64/lib/python3.7/site-packages/pkg_resources/_vendor/packaging/specifiers.py
python
BaseSpecifier.__hash__
(self)
Returns a hash value for this Specifier like object.
Returns a hash value for this Specifier like object.
[ "Returns", "a", "hash", "value", "for", "this", "Specifier", "like", "object", "." ]
def __hash__(self): """ Returns a hash value for this Specifier like object. """
[ "def", "__hash__", "(", "self", ")", ":" ]
https://github.com/aws/lumberyard/blob/f85344403c1c2e77ec8c75deb2c116e97b713217/dev/Tools/Python/3.7.10/linux_x64/lib/python3.7/site-packages/pkg_resources/_vendor/packaging/specifiers.py#L31-L34
baidu-research/tensorflow-allreduce
66d5b855e90b0949e9fa5cca5599fd729a70e874
tensorflow/python/ops/variables.py
python
Variable.assign_add
(self, delta, use_locking=False)
return state_ops.assign_add(self._variable, delta, use_locking=use_locking)
Adds a value to this variable. This is essentially a shortcut for `assign_add(self, delta)`. Args: delta: A `Tensor`. The value to add to this variable. use_locking: If `True`, use locking during the operation. Returns: A `Tensor` that will hold the new value of this variable after ...
Adds a value to this variable.
[ "Adds", "a", "value", "to", "this", "variable", "." ]
def assign_add(self, delta, use_locking=False): """Adds a value to this variable. This is essentially a shortcut for `assign_add(self, delta)`. Args: delta: A `Tensor`. The value to add to this variable. use_locking: If `True`, use locking during the operation. Returns: A `Tensor` ...
[ "def", "assign_add", "(", "self", ",", "delta", ",", "use_locking", "=", "False", ")", ":", "return", "state_ops", ".", "assign_add", "(", "self", ".", "_variable", ",", "delta", ",", "use_locking", "=", "use_locking", ")" ]
https://github.com/baidu-research/tensorflow-allreduce/blob/66d5b855e90b0949e9fa5cca5599fd729a70e874/tensorflow/python/ops/variables.py#L529-L542
astra-toolbox/astra-toolbox
1e7ec8af702e595b76654f2e500f4c00344b273f
python/astra/data2d.py
python
store
(i, data)
return d.store(i, data)
Fill existing 2D object with data. :param i: ID of object to fill. :type i: :class:`int` :param data: Data to fill the object with, either a scalar or array. :type data: :class:`float` or :class:`numpy.ndarray`
Fill existing 2D object with data. :param i: ID of object to fill. :type i: :class:`int` :param data: Data to fill the object with, either a scalar or array. :type data: :class:`float` or :class:`numpy.ndarray`
[ "Fill", "existing", "2D", "object", "with", "data", ".", ":", "param", "i", ":", "ID", "of", "object", "to", "fill", ".", ":", "type", "i", ":", ":", "class", ":", "int", ":", "param", "data", ":", "Data", "to", "fill", "the", "object", "with", "...
def store(i, data): """Fill existing 2D object with data. :param i: ID of object to fill. :type i: :class:`int` :param data: Data to fill the object with, either a scalar or array. :type data: :class:`float` or :class:`numpy.ndarray` """ return d.store(i, data)
[ "def", "store", "(", "i", ",", "data", ")", ":", "return", "d", ".", "store", "(", "i", ",", "data", ")" ]
https://github.com/astra-toolbox/astra-toolbox/blob/1e7ec8af702e595b76654f2e500f4c00344b273f/python/astra/data2d.py#L73-L82
apple/turicreate
cce55aa5311300e3ce6af93cb45ba791fd1bdf49
src/python/turicreate/toolkits/_internal_utils.py
python
_toolkit_summary_to_json
(model, sections, section_titles)
return _toolkit_summary_dict_to_json( _toolkit_serialize_summary_struct(model, sections, section_titles) )
Serialize model summary to JSON string. JSON is an object with ordered arrays of section_titles and sections Parameters ---------- model : Model object sections : Ordered list of lists (sections) of tuples (field,value) [ [(field1, value1), (field2, value2)], [(field3, value3...
Serialize model summary to JSON string. JSON is an object with ordered arrays of section_titles and sections
[ "Serialize", "model", "summary", "to", "JSON", "string", ".", "JSON", "is", "an", "object", "with", "ordered", "arrays", "of", "section_titles", "and", "sections" ]
def _toolkit_summary_to_json(model, sections, section_titles): """ Serialize model summary to JSON string. JSON is an object with ordered arrays of section_titles and sections Parameters ---------- model : Model object sections : Ordered list of lists (sections) of tuples (field,value) ...
[ "def", "_toolkit_summary_to_json", "(", "model", ",", "sections", ",", "section_titles", ")", ":", "return", "_toolkit_summary_dict_to_json", "(", "_toolkit_serialize_summary_struct", "(", "model", ",", "sections", ",", "section_titles", ")", ")" ]
https://github.com/apple/turicreate/blob/cce55aa5311300e3ce6af93cb45ba791fd1bdf49/src/python/turicreate/toolkits/_internal_utils.py#L374-L393
catboost/catboost
167f64f237114a4d10b2b4ee42adb4569137debe
contrib/python/scipy/scipy/stats/kde.py
python
gaussian_kde.logpdf
(self, x)
return np.log(self.evaluate(x))
Evaluate the log of the estimated pdf on a provided set of points. Notes ----- See `gaussian_kde.evaluate` for more details; this method simply returns ``np.log(gaussian_kde.evaluate(x))``.
Evaluate the log of the estimated pdf on a provided set of points.
[ "Evaluate", "the", "log", "of", "the", "estimated", "pdf", "on", "a", "provided", "set", "of", "points", "." ]
def logpdf(self, x): """ Evaluate the log of the estimated pdf on a provided set of points. Notes ----- See `gaussian_kde.evaluate` for more details; this method simply returns ``np.log(gaussian_kde.evaluate(x))``. """ return np.log(self.evaluate(x))
[ "def", "logpdf", "(", "self", ",", "x", ")", ":", "return", "np", ".", "log", "(", "self", ".", "evaluate", "(", "x", ")", ")" ]
https://github.com/catboost/catboost/blob/167f64f237114a4d10b2b4ee42adb4569137debe/contrib/python/scipy/scipy/stats/kde.py#L526-L536
catboost/catboost
167f64f237114a4d10b2b4ee42adb4569137debe
contrib/python/pandas/py3/pandas/io/pytables.py
python
_maybe_adjust_name
(name: str, version: Sequence[int])
return name
Prior to 0.10.1, we named values blocks like: values_block_0 an the name values_0, adjust the given name if necessary. Parameters ---------- name : str version : Tuple[int, int, int] Returns ------- str
Prior to 0.10.1, we named values blocks like: values_block_0 an the name values_0, adjust the given name if necessary.
[ "Prior", "to", "0", ".", "10", ".", "1", "we", "named", "values", "blocks", "like", ":", "values_block_0", "an", "the", "name", "values_0", "adjust", "the", "given", "name", "if", "necessary", "." ]
def _maybe_adjust_name(name: str, version: Sequence[int]) -> str: """ Prior to 0.10.1, we named values blocks like: values_block_0 an the name values_0, adjust the given name if necessary. Parameters ---------- name : str version : Tuple[int, int, int] Returns ------- str "...
[ "def", "_maybe_adjust_name", "(", "name", ":", "str", ",", "version", ":", "Sequence", "[", "int", "]", ")", "->", "str", ":", "if", "isinstance", "(", "version", ",", "str", ")", "or", "len", "(", "version", ")", "<", "3", ":", "raise", "ValueError"...
https://github.com/catboost/catboost/blob/167f64f237114a4d10b2b4ee42adb4569137debe/contrib/python/pandas/py3/pandas/io/pytables.py#L5105-L5127
natanielruiz/android-yolo
1ebb54f96a67a20ff83ddfc823ed83a13dc3a47f
jni-build/jni/include/tensorflow/contrib/distributions/python/ops/mvn.py
python
MultivariateNormalOperatorPD.event_shape
(self, name="event_shape")
Shape of a sample from a single distribution as a 1-D int32 `Tensor`.
Shape of a sample from a single distribution as a 1-D int32 `Tensor`.
[ "Shape", "of", "a", "sample", "from", "a", "single", "distribution", "as", "a", "1", "-", "D", "int32", "Tensor", "." ]
def event_shape(self, name="event_shape"): """Shape of a sample from a single distribution as a 1-D int32 `Tensor`.""" # Recall _check_mu ensures mu and self._cov have same batch shape. with ops.name_scope(self.name): with ops.op_scope(self._cov.inputs, name): return array_ops.pack([self._cov....
[ "def", "event_shape", "(", "self", ",", "name", "=", "\"event_shape\"", ")", ":", "# Recall _check_mu ensures mu and self._cov have same batch shape.", "with", "ops", ".", "name_scope", "(", "self", ".", "name", ")", ":", "with", "ops", ".", "op_scope", "(", "self...
https://github.com/natanielruiz/android-yolo/blob/1ebb54f96a67a20ff83ddfc823ed83a13dc3a47f/jni-build/jni/include/tensorflow/contrib/distributions/python/ops/mvn.py#L192-L197
wxWidgets/wxPython-Classic
19571e1ae65f1ac445f5491474121998c97a1bf0
src/osx_carbon/_controls.py
python
ListItem.HasAttributes
(*args, **kwargs)
return _controls_.ListItem_HasAttributes(*args, **kwargs)
HasAttributes(self) -> bool
HasAttributes(self) -> bool
[ "HasAttributes", "(", "self", ")", "-", ">", "bool" ]
def HasAttributes(*args, **kwargs): """HasAttributes(self) -> bool""" return _controls_.ListItem_HasAttributes(*args, **kwargs)
[ "def", "HasAttributes", "(", "*", "args", ",", "*", "*", "kwargs", ")", ":", "return", "_controls_", ".", "ListItem_HasAttributes", "(", "*", "args", ",", "*", "*", "kwargs", ")" ]
https://github.com/wxWidgets/wxPython-Classic/blob/19571e1ae65f1ac445f5491474121998c97a1bf0/src/osx_carbon/_controls.py#L4252-L4254
macchina-io/macchina.io
ef24ba0e18379c3dd48fb84e6dbf991101cb8db0
platform/JS/V8/v8/third_party/jinja2/utils.py
python
urlize
(text, trim_url_limit=None, nofollow=False, target=None)
return u''.join(words)
Converts any URLs in text into clickable links. Works on http://, https:// and www. links. Links can have trailing punctuation (periods, commas, close-parens) and leading punctuation (opening parens) and it'll still do the right thing. If trim_url_limit is not None, the URLs in link text will be limite...
Converts any URLs in text into clickable links. Works on http://, https:// and www. links. Links can have trailing punctuation (periods, commas, close-parens) and leading punctuation (opening parens) and it'll still do the right thing.
[ "Converts", "any", "URLs", "in", "text", "into", "clickable", "links", ".", "Works", "on", "http", ":", "//", "https", ":", "//", "and", "www", ".", "links", ".", "Links", "can", "have", "trailing", "punctuation", "(", "periods", "commas", "close", "-", ...
def urlize(text, trim_url_limit=None, nofollow=False, target=None): """Converts any URLs in text into clickable links. Works on http://, https:// and www. links. Links can have trailing punctuation (periods, commas, close-parens) and leading punctuation (opening parens) and it'll still do the right thin...
[ "def", "urlize", "(", "text", ",", "trim_url_limit", "=", "None", ",", "nofollow", "=", "False", ",", "target", "=", "None", ")", ":", "trim_url", "=", "lambda", "x", ",", "limit", "=", "trim_url_limit", ":", "limit", "is", "not", "None", "and", "(", ...
https://github.com/macchina-io/macchina.io/blob/ef24ba0e18379c3dd48fb84e6dbf991101cb8db0/platform/JS/V8/v8/third_party/jinja2/utils.py#L186-L234
miyosuda/TensorFlowAndroidDemo
35903e0221aa5f109ea2dbef27f20b52e317f42d
jni-build/jni/include/tensorflow/python/training/tensorboard_logging.py
python
_clear_summary_writer
()
Makes all subsequent log invocations error. This is only used for testing. If you want to disable TensorBoard logging, call `set_summary_writer(None)` instead.
Makes all subsequent log invocations error.
[ "Makes", "all", "subsequent", "log", "invocations", "error", "." ]
def _clear_summary_writer(): """Makes all subsequent log invocations error. This is only used for testing. If you want to disable TensorBoard logging, call `set_summary_writer(None)` instead. """ global _summary_writer _summary_writer = _sentinel_summary_writer
[ "def", "_clear_summary_writer", "(", ")", ":", "global", "_summary_writer", "_summary_writer", "=", "_sentinel_summary_writer" ]
https://github.com/miyosuda/TensorFlowAndroidDemo/blob/35903e0221aa5f109ea2dbef27f20b52e317f42d/jni-build/jni/include/tensorflow/python/training/tensorboard_logging.py#L107-L114
pmq20/node-packer
12c46c6e44fbc14d9ee645ebd17d5296b324f7e0
lts/deps/npm/node_modules/node-gyp/gyp/pylib/gyp/generator/msvs.py
python
_AddAccumulatedActionsToMSVS
(p, spec, actions_dict)
Add actions accumulated into an actions_dict, merging as needed. Arguments: p: the target project spec: the target project dict actions_dict: dictionary keyed on input name, which maps to a list of dicts describing the actions attached to that input file.
Add actions accumulated into an actions_dict, merging as needed.
[ "Add", "actions", "accumulated", "into", "an", "actions_dict", "merging", "as", "needed", "." ]
def _AddAccumulatedActionsToMSVS(p, spec, actions_dict): """Add actions accumulated into an actions_dict, merging as needed. Arguments: p: the target project spec: the target project dict actions_dict: dictionary keyed on input name, which maps to a list of dicts describing the actions attached...
[ "def", "_AddAccumulatedActionsToMSVS", "(", "p", ",", "spec", ",", "actions_dict", ")", ":", "for", "primary_input", "in", "actions_dict", ":", "inputs", "=", "OrderedSet", "(", ")", "outputs", "=", "OrderedSet", "(", ")", "descriptions", "=", "[", "]", "com...
https://github.com/pmq20/node-packer/blob/12c46c6e44fbc14d9ee645ebd17d5296b324f7e0/lts/deps/npm/node_modules/node-gyp/gyp/pylib/gyp/generator/msvs.py#L466-L493
flexflow/FlexFlow
581fad8ba8d10a16a3102ee2b406b0319586df24
python/flexflow/keras/utils/generic_utils.py
python
Progbar.update
(self, current, values=None)
Updates the progress bar. # Arguments current: Index of current step. values: List of tuples: `(name, value_for_last_step)`. If `name` is in `stateful_metrics`, `value_for_last_step` will be displayed as-is. Else, an averag...
Updates the progress bar.
[ "Updates", "the", "progress", "bar", "." ]
def update(self, current, values=None): """Updates the progress bar. # Arguments current: Index of current step. values: List of tuples: `(name, value_for_last_step)`. If `name` is in `stateful_metrics`, `value_for_last_step` will ...
[ "def", "update", "(", "self", ",", "current", ",", "values", "=", "None", ")", ":", "values", "=", "values", "or", "[", "]", "for", "k", ",", "v", "in", "values", ":", "if", "k", "not", "in", "self", ".", "stateful_metrics", ":", "if", "k", "not"...
https://github.com/flexflow/FlexFlow/blob/581fad8ba8d10a16a3102ee2b406b0319586df24/python/flexflow/keras/utils/generic_utils.py#L349-L470
aws/lumberyard
f85344403c1c2e77ec8c75deb2c116e97b713217
dev/Tools/Python/3.7.10/linux_x64/lib/python3.7/site-packages/botocore/docs/shape.py
python
ShapeDocumenter.traverse_and_document_shape
(self, section, shape, history, include=None, exclude=None, name=None, is_required=False)
Traverses and documents a shape Will take a self class and call its appropriate methods as a shape is traversed. :param section: The section to document. :param history: A list of the names of the shapes that have been traversed. :type include: Dictionary where ke...
Traverses and documents a shape
[ "Traverses", "and", "documents", "a", "shape" ]
def traverse_and_document_shape(self, section, shape, history, include=None, exclude=None, name=None, is_required=False): """Traverses and documents a shape Will take a self class and call its appropriate methods as a shape ...
[ "def", "traverse_and_document_shape", "(", "self", ",", "section", ",", "shape", ",", "history", ",", "include", "=", "None", ",", "exclude", "=", "None", ",", "name", "=", "None", ",", "is_required", "=", "False", ")", ":", "param_type", "=", "shape", "...
https://github.com/aws/lumberyard/blob/f85344403c1c2e77ec8c75deb2c116e97b713217/dev/Tools/Python/3.7.10/linux_x64/lib/python3.7/site-packages/botocore/docs/shape.py#L36-L89