sia-precision-education/pile_cpp · Datasets at Hugging Face

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vmtk/vmtk	927331ad752265199390eabbbf2e07cdc2b4bcc6	vtkVmtk/Utilities/Stellar_1.0/meshconvert.py	python	writeOFF	(verts, tris, outFileName)		write out an OFF file from a list of vertices and triangles	write out an OFF file from a list of vertices and triangles	[ "write", "out", "an", "OFF", "file", "from", "a", "list", "of", "vertices", "and", "triangles" ]	def writeOFF(verts, tris, outFileName): """write out an OFF file from a list of vertices and triangles""" outFileName += '.off' outfile = open(outFileName, 'w') # write header lines outfile.write('OFF\n') outfile.write('%d %d 0\n' % (len(verts), len(tris))) for vert in verts: #print "vert:", vert outfile.write('%g %g %g\n' % (vert[0], vert[1], vert[2])) for tri in tris: outfile.write('3 %d %d %d\n' % (tri[0], tri[1], tri[2])) outfile.close()	[ "def", "writeOFF", "(", "verts", ",", "tris", ",", "outFileName", ")", ":", "outFileName", "+=", "'.off'", "outfile", "=", "open", "(", "outFileName", ",", "'w'", ")", "# write header lines", "outfile", ".", "write", "(", "'OFF\\n'", ")", "outfile", ".", "write", "(", "'%d %d 0\\n'", "%", "(", "len", "(", "verts", ")", ",", "len", "(", "tris", ")", ")", ")", "for", "vert", "in", "verts", ":", "#print \"vert:\", vert", "outfile", ".", "write", "(", "'%g %g %g\\n'", "%", "(", "vert", "[", "0", "]", ",", "vert", "[", "1", "]", ",", "vert", "[", "2", "]", ")", ")", "for", "tri", "in", "tris", ":", "outfile", ".", "write", "(", "'3 %d %d %d\\n'", "%", "(", "tri", "[", "0", "]", ",", "tri", "[", "1", "]", ",", "tri", "[", "2", "]", ")", ")", "outfile", ".", "close", "(", ")" ]	https://github.com/vmtk/vmtk/blob/927331ad752265199390eabbbf2e07cdc2b4bcc6/vtkVmtk/Utilities/Stellar_1.0/meshconvert.py#L751-L766
limbo018/DREAMPlace	146c3b9fd003d1acd52c96d9fd02e3f0a05154e4	dreamplace/ops/dct/discrete_spectral_transform.py	python	idct_2N	(x, expk=None)	return y	Batch Inverse Discrete Cosine Transformation without normalization to coefficients. Compute y_u = \sum_i x_i cos(pi(2u+1)i/(2N)), Impelements the 2N padding trick to solve IDCT with IFFT in the following link, https://github.com/tensorflow/tensorflow/blob/r1.10/tensorflow/python/ops/spectral_ops.py 1. Multiply by 2exp(1jpi*u/(2N)) 2. Pad x by zeros 3. Perform IFFT 4. Extract the real part	Batch Inverse Discrete Cosine Transformation without normalization to coefficients. Compute y_u = \sum_i x_i cos(pi(2u+1)i/(2N)), Impelements the 2N padding trick to solve IDCT with IFFT in the following link, https://github.com/tensorflow/tensorflow/blob/r1.10/tensorflow/python/ops/spectral_ops.py	[ "Batch", "Inverse", "Discrete", "Cosine", "Transformation", "without", "normalization", "to", "coefficients", ".", "Compute", "y_u", "=", "\\", "sum_i", "x_i", "cos", "(", "pi", "", "(", "2u", "+", "1", ")", "", "i", "/", "(", "2N", "))", "Impelements", "the", "2N", "padding", "trick", "to", "solve", "IDCT", "with", "IFFT", "in", "the", "following", "link", "https", ":", "//", "github", ".", "com", "/", "tensorflow", "/", "tensorflow", "/", "blob", "/", "r1", ".", "10", "/", "tensorflow", "/", "python", "/", "ops", "/", "spectral_ops", ".", "py" ]	def idct_2N(x, expk=None): """ Batch Inverse Discrete Cosine Transformation without normalization to coefficients. Compute y_u = \sum_i x_i cos(pi(2u+1)i/(2N)), Impelements the 2N padding trick to solve IDCT with IFFT in the following link, https://github.com/tensorflow/tensorflow/blob/r1.10/tensorflow/python/ops/spectral_ops.py 1. Multiply by 2exp(1jpiu/(2N)) 2. Pad x by zeros 3. Perform IFFT 4. Extract the real part """ # last dimension N = x.size(-1) if expk is None: expk = get_expk(N, dtype=x.dtype, device=x.device) # multiply by 2exp(1jpiu/(2N)) x_pad = x.unsqueeze(-1).mul(expk) # pad second last dimension, excluding the complex number dimension x_pad = F.pad(x_pad, (0, 0, 0, N), 'constant', 0) if len(x.size()) == 1: x_pad.unsqueeze_(0) # the last dimension here becomes -2 because complex numbers introduce a new dimension y = torch_fft_api.irfft(x_pad, signal_ndim=1, normalized=False, onesided=False, signal_sizes=[2*N])[..., 0:N] y.mul_(N) if len(x.size()) == 1: y.squeeze_(0) return y	[ "def", "idct_2N", "(", "x", ",", "expk", "=", "None", ")", ":", "# last dimension", "N", "=", "x", ".", "size", "(", "-", "1", ")", "if", "expk", "is", "None", ":", "expk", "=", "get_expk", "(", "N", ",", "dtype", "=", "x", ".", "dtype", ",", "device", "=", "x", ".", "device", ")", "# multiply by 2exp(1jpiu/(2N))", "x_pad", "=", "x", ".", "unsqueeze", "(", "-", "1", ")", ".", "mul", "(", "expk", ")", "# pad second last dimension, excluding the complex number dimension", "x_pad", "=", "F", ".", "pad", "(", "x_pad", ",", "(", "0", ",", "0", ",", "0", ",", "N", ")", ",", "'constant'", ",", "0", ")", "if", "len", "(", "x", ".", "size", "(", ")", ")", "==", "1", ":", "x_pad", ".", "unsqueeze_", "(", "0", ")", "# the last dimension here becomes -2 because complex numbers introduce a new dimension", "y", "=", "torch_fft_api", ".", "irfft", "(", "x_pad", ",", "signal_ndim", "=", "1", ",", "normalized", "=", "False", ",", "onesided", "=", "False", ",", "signal_sizes", "=", "[", "2", "", "N", "]", ")", "[", "...", ",", "0", ":", "N", "]", "y", ".", "mul_", "(", "N", ")", "if", "len", "(", "x", ".", "size", "(", ")", ")", "==", "1", ":", "y", ".", "squeeze_", "(", "0", ")", "return", "y" ]	https://github.com/limbo018/DREAMPlace/blob/146c3b9fd003d1acd52c96d9fd02e3f0a05154e4/dreamplace/ops/dct/discrete_spectral_transform.py#L153-L185
generalized-intelligence/GAAS	29ab17d3e8a4ba18edef3a57c36d8db6329fac73	algorithms/src/LocalizationAndMapping/registration_localization/fast_gicp/thirdparty/Sophus/py/sophus/se3.py	python	Se3.__getitem__	(self, key)		We use the following convention [q0, q1, q2, q3, t0, t1, t2]	We use the following convention [q0, q1, q2, q3, t0, t1, t2]	[ "We", "use", "the", "following", "convention", "[", "q0", "q1", "q2", "q3", "t0", "t1", "t2", "]" ]	def __getitem__(self, key): """ We use the following convention [q0, q1, q2, q3, t0, t1, t2] """ assert (key >= 0 and key < 7) if key < 4: return self.so3[key] else: return self.t[key - 4]	[ "def", "__getitem__", "(", "self", ",", "key", ")", ":", "assert", "(", "key", ">=", "0", "and", "key", "<", "7", ")", "if", "key", "<", "4", ":", "return", "self", ".", "so3", "[", "key", "]", "else", ":", "return", "self", ".", "t", "[", "key", "-", "4", "]" ]	https://github.com/generalized-intelligence/GAAS/blob/29ab17d3e8a4ba18edef3a57c36d8db6329fac73/algorithms/src/LocalizationAndMapping/registration_localization/fast_gicp/thirdparty/Sophus/py/sophus/se3.py#L96-L102
VAR-solutions/Algorithms	4ad6773e9675ef35aa858ca3969be5ddf6e3daea	LinkedList/LinkedListModule.py	python	LinkedList.getNodeCount	(self,value)	return NodeCount	returns the number of nodes containing a particular value	returns the number of nodes containing a particular value	[ "returns", "the", "number", "of", "nodes", "containing", "a", "particular", "value" ]	def getNodeCount(self,value): """returns the number of nodes containing a particular value""" CurrentNode = self.head NodeCount = 0 while CurrentNode is not None: if CurrentNode.data == value: NodeCount += 1 CurrentNode = CurrentNode.next return NodeCount	[ "def", "getNodeCount", "(", "self", ",", "value", ")", ":", "CurrentNode", "=", "self", ".", "head", "NodeCount", "=", "0", "while", "CurrentNode", "is", "not", "None", ":", "if", "CurrentNode", ".", "data", "==", "value", ":", "NodeCount", "+=", "1", "CurrentNode", "=", "CurrentNode", ".", "next", "return", "NodeCount" ]	https://github.com/VAR-solutions/Algorithms/blob/4ad6773e9675ef35aa858ca3969be5ddf6e3daea/LinkedList/LinkedListModule.py#L147-L158
Polidea/SiriusObfuscator	b0e590d8130e97856afe578869b83a209e2b19be	SymbolExtractorAndRenamer/lldb/scripts/Python/static-binding/lldb.py	python	SBSymbolContext.SetFunction	(self, *args)	return _lldb.SBSymbolContext_SetFunction(self, *args)	SetFunction(self, SBFunction function)	SetFunction(self, SBFunction function)	[ "SetFunction", "(", "self", "SBFunction", "function", ")" ]	def SetFunction(self, args): """SetFunction(self, SBFunction function)""" return _lldb.SBSymbolContext_SetFunction(self, args)	[ "def", "SetFunction", "(", "self", ",", "", "args", ")", ":", "return", "_lldb", ".", "SBSymbolContext_SetFunction", "(", "self", ",", "", "args", ")" ]	https://github.com/Polidea/SiriusObfuscator/blob/b0e590d8130e97856afe578869b83a209e2b19be/SymbolExtractorAndRenamer/lldb/scripts/Python/static-binding/lldb.py#L8292-L8294
swift/swift	12d031cf8177fdec0137f9aa7e2912fa23c4416b	3rdParty/SCons/scons-3.0.1/engine/SCons/Tool/lex.py	python	generate	(env)		Add Builders and construction variables for lex to an Environment.	Add Builders and construction variables for lex to an Environment.	[ "Add", "Builders", "and", "construction", "variables", "for", "lex", "to", "an", "Environment", "." ]	def generate(env): """Add Builders and construction variables for lex to an Environment.""" c_file, cxx_file = SCons.Tool.createCFileBuilders(env) # C c_file.add_action(".l", LexAction) c_file.add_emitter(".l", lexEmitter) c_file.add_action(".lex", LexAction) c_file.add_emitter(".lex", lexEmitter) # Objective-C cxx_file.add_action(".lm", LexAction) cxx_file.add_emitter(".lm", lexEmitter) # C++ cxx_file.add_action(".ll", LexAction) cxx_file.add_emitter(".ll", lexEmitter) env["LEX"] = env.Detect("flex") or "lex" env["LEXFLAGS"] = SCons.Util.CLVar("") env["LEXCOM"] = "$LEX $LEXFLAGS -t $SOURCES > $TARGET"	[ "def", "generate", "(", "env", ")", ":", "c_file", ",", "cxx_file", "=", "SCons", ".", "Tool", ".", "createCFileBuilders", "(", "env", ")", "# C", "c_file", ".", "add_action", "(", "\".l\"", ",", "LexAction", ")", "c_file", ".", "add_emitter", "(", "\".l\"", ",", "lexEmitter", ")", "c_file", ".", "add_action", "(", "\".lex\"", ",", "LexAction", ")", "c_file", ".", "add_emitter", "(", "\".lex\"", ",", "lexEmitter", ")", "# Objective-C", "cxx_file", ".", "add_action", "(", "\".lm\"", ",", "LexAction", ")", "cxx_file", ".", "add_emitter", "(", "\".lm\"", ",", "lexEmitter", ")", "# C++", "cxx_file", ".", "add_action", "(", "\".ll\"", ",", "LexAction", ")", "cxx_file", ".", "add_emitter", "(", "\".ll\"", ",", "lexEmitter", ")", "env", "[", "\"LEX\"", "]", "=", "env", ".", "Detect", "(", "\"flex\"", ")", "or", "\"lex\"", "env", "[", "\"LEXFLAGS\"", "]", "=", "SCons", ".", "Util", ".", "CLVar", "(", "\"\"", ")", "env", "[", "\"LEXCOM\"", "]", "=", "\"$LEX $LEXFLAGS -t $SOURCES > $TARGET\"" ]	https://github.com/swift/swift/blob/12d031cf8177fdec0137f9aa7e2912fa23c4416b/3rdParty/SCons/scons-3.0.1/engine/SCons/Tool/lex.py#L67-L88
apple/turicreate	cce55aa5311300e3ce6af93cb45ba791fd1bdf49	deps/src/libxml2-2.9.1/python/libxml2class.py	python	xmlTextReader.BaseUri	(self)	return ret	The base URI of the node.	The base URI of the node.	[ "The", "base", "URI", "of", "the", "node", "." ]	def BaseUri(self): """The base URI of the node. """ ret = libxml2mod.xmlTextReaderConstBaseUri(self._o) return ret	[ "def", "BaseUri", "(", "self", ")", ":", "ret", "=", "libxml2mod", ".", "xmlTextReaderConstBaseUri", "(", "self", ".", "_o", ")", "return", "ret" ]	https://github.com/apple/turicreate/blob/cce55aa5311300e3ce6af93cb45ba791fd1bdf49/deps/src/libxml2-2.9.1/python/libxml2class.py#L5748-L5751
qgis/QGIS	15a77662d4bb712184f6aa60d0bd663010a76a75	python/utils.py	python	loadPlugin	(packageName: str)		load plugin's package	load plugin's package	[ "load", "plugin", "s", "package" ]	def loadPlugin(packageName: str) -> bool: """ load plugin's package """ try: __import__(packageName) return True except: pass # continue... # snake in the grass, we know it's there sys.path_importer_cache.clear() # retry try: __import__(packageName) return True except: msg = QCoreApplication.translate("Python", "Couldn't load plugin '{0}'").format(packageName) showException(sys.exc_info()[0], sys.exc_info()[1], sys.exc_info()[2], msg, messagebar=True, level=Qgis.Critical) return False	[ "def", "loadPlugin", "(", "packageName", ":", "str", ")", "->", "bool", ":", "try", ":", "__import__", "(", "packageName", ")", "return", "True", "except", ":", "pass", "# continue...", "# snake in the grass, we know it's there", "sys", ".", "path_importer_cache", ".", "clear", "(", ")", "# retry", "try", ":", "__import__", "(", "packageName", ")", "return", "True", "except", ":", "msg", "=", "QCoreApplication", ".", "translate", "(", "\"Python\"", ",", "\"Couldn't load plugin '{0}'\"", ")", ".", "format", "(", "packageName", ")", "showException", "(", "sys", ".", "exc_info", "(", ")", "[", "0", "]", ",", "sys", ".", "exc_info", "(", ")", "[", "1", "]", ",", "sys", ".", "exc_info", "(", ")", "[", "2", "]", ",", "msg", ",", "messagebar", "=", "True", ",", "level", "=", "Qgis", ".", "Critical", ")", "return", "False" ]	https://github.com/qgis/QGIS/blob/15a77662d4bb712184f6aa60d0bd663010a76a75/python/utils.py#L387-L406
chromiumembedded/cef	80caf947f3fe2210e5344713c5281d8af9bdc295	tools/cef_parser.py	python	obj_header.get_class	(self, classname, defined_structs=None)	return None	Return the specified class or None if not found.	Return the specified class or None if not found.	[ "Return", "the", "specified", "class", "or", "None", "if", "not", "found", "." ]	def get_class(self, classname, defined_structs=None): """ Return the specified class or None if not found. """ for cls in self.classes: if cls.get_name() == classname: return cls elif not defined_structs is None: defined_structs.append(cls.get_capi_name()) return None	[ "def", "get_class", "(", "self", ",", "classname", ",", "defined_structs", "=", "None", ")", ":", "for", "cls", "in", "self", ".", "classes", ":", "if", "cls", ".", "get_name", "(", ")", "==", "classname", ":", "return", "cls", "elif", "not", "defined_structs", "is", "None", ":", "defined_structs", ".", "append", "(", "cls", ".", "get_capi_name", "(", ")", ")", "return", "None" ]	https://github.com/chromiumembedded/cef/blob/80caf947f3fe2210e5344713c5281d8af9bdc295/tools/cef_parser.py#L718-L725
SequoiaDB/SequoiaDB	2894ed7e5bd6fe57330afc900cf76d0ff0df9f64	tools/server/php_linux/libxml2/lib/python2.4/site-packages/libxml2.py	python	newCatalog	(sgml)	return catalog(_obj=ret)	create a new Catalog.	create a new Catalog.	[ "create", "a", "new", "Catalog", "." ]	def newCatalog(sgml): """create a new Catalog. """ ret = libxml2mod.xmlNewCatalog(sgml) if ret is None:raise treeError('xmlNewCatalog() failed') return catalog(_obj=ret)	[ "def", "newCatalog", "(", "sgml", ")", ":", "ret", "=", "libxml2mod", ".", "xmlNewCatalog", "(", "sgml", ")", "if", "ret", "is", "None", ":", "raise", "treeError", "(", "'xmlNewCatalog() failed'", ")", "return", "catalog", "(", "_obj", "=", "ret", ")" ]	https://github.com/SequoiaDB/SequoiaDB/blob/2894ed7e5bd6fe57330afc900cf76d0ff0df9f64/tools/server/php_linux/libxml2/lib/python2.4/site-packages/libxml2.py#L954-L958
lukasmonk/lucaschess	13e2e5cb13b38a720ccf897af649054a64bcb914	Code/QT/Grid.py	python	Grid.recno	(self)	return n if n <= nX else nX	Devuelve la fila actual.	Devuelve la fila actual.	[ "Devuelve", "la", "fila", "actual", "." ]	def recno(self): """ Devuelve la fila actual. """ n = self.currentIndex().row() nX = self.cg.numDatos - 1 return n if n <= nX else nX	[ "def", "recno", "(", "self", ")", ":", "n", "=", "self", ".", "currentIndex", "(", ")", ".", "row", "(", ")", "nX", "=", "self", ".", "cg", ".", "numDatos", "-", "1", "return", "n", "if", "n", "<=", "nX", "else", "nX" ]	https://github.com/lukasmonk/lucaschess/blob/13e2e5cb13b38a720ccf897af649054a64bcb914/Code/QT/Grid.py#L441-L447
y123456yz/reading-and-annotate-mongodb-3.6	93280293672ca7586dc24af18132aa61e4ed7fcf	mongo/buildscripts/idl/idl/errors.py	python	ParserError.__str__	(self)	return msg	Return a formatted error. Example error message: test.idl: (17, 4): ID0008: Unknown IDL node 'cpp_namespac' for YAML entity 'global'.	Return a formatted error.	[ "Return", "a", "formatted", "error", "." ]	def __str__(self): # type: () -> str """ Return a formatted error. Example error message: test.idl: (17, 4): ID0008: Unknown IDL node 'cpp_namespac' for YAML entity 'global'. """ msg = "%s: (%d, %d): %s: %s" % (os.path.basename(self.file_name), self.line, self.column, self.error_id, self.msg) return msg	[ "def", "__str__", "(", "self", ")", ":", "# type: () -> str", "msg", "=", "\"%s: (%d, %d): %s: %s\"", "%", "(", "os", ".", "path", ".", "basename", "(", "self", ".", "file_name", ")", ",", "self", ".", "line", ",", "self", ".", "column", ",", "self", ".", "error_id", ",", "self", ".", "msg", ")", "return", "msg" ]	https://github.com/y123456yz/reading-and-annotate-mongodb-3.6/blob/93280293672ca7586dc24af18132aa61e4ed7fcf/mongo/buildscripts/idl/idl/errors.py#L113-L123
mantidproject/mantid	03deeb89254ec4289edb8771e0188c2090a02f32	qt/python/mantidqtinterfaces/mantidqtinterfaces/Muon/GUI/Common/utilities/table_utils.py	python	DoubleItemDelegate.convert_for_display	(number)	return str(float(number))	need to convert to a float then back to a string to make sure it always has scientific notation	need to convert to a float then back to a string to make sure it always has scientific notation	[ "need", "to", "convert", "to", "a", "float", "then", "back", "to", "a", "string", "to", "make", "sure", "it", "always", "has", "scientific", "notation" ]	def convert_for_display(number): """need to convert to a float then back to a string to make sure it always has scientific notation""" return str(float(number))	[ "def", "convert_for_display", "(", "number", ")", ":", "return", "str", "(", "float", "(", "number", ")", ")" ]	https://github.com/mantidproject/mantid/blob/03deeb89254ec4289edb8771e0188c2090a02f32/qt/python/mantidqtinterfaces/mantidqtinterfaces/Muon/GUI/Common/utilities/table_utils.py#L214-L218
bh107/bohrium	5b83e7117285fefc7779ed0e9acb0f8e74c7e068	bridge/npbackend/bohrium/backend_messaging.py	python	cuda_use_current_context	()	return _backend_msg("CUDA: use current context")	Tell the CUDA backend to use the current CUDA context (useful for PyCUDA interop)	Tell the CUDA backend to use the current CUDA context (useful for PyCUDA interop)	[ "Tell", "the", "CUDA", "backend", "to", "use", "the", "current", "CUDA", "context", "(", "useful", "for", "PyCUDA", "interop", ")" ]	def cuda_use_current_context(): """Tell the CUDA backend to use the current CUDA context (useful for PyCUDA interop)""" return _backend_msg("CUDA: use current context")	[ "def", "cuda_use_current_context", "(", ")", ":", "return", "_backend_msg", "(", "\"CUDA: use current context\"", ")" ]	https://github.com/bh107/bohrium/blob/5b83e7117285fefc7779ed0e9acb0f8e74c7e068/bridge/npbackend/bohrium/backend_messaging.py#L34-L36
aws/lumberyard	f85344403c1c2e77ec8c75deb2c116e97b713217	dev/Tools/Python/3.7.10/linux_x64/lib/python3.7/pydoc.py	python	TextDoc.docmodule	(self, object, name=None, mod=None)	return result	Produce text documentation for a given module object.	Produce text documentation for a given module object.	[ "Produce", "text", "documentation", "for", "a", "given", "module", "object", "." ]	def docmodule(self, object, name=None, mod=None): """Produce text documentation for a given module object.""" name = object.__name__ # ignore the passed-in name synop, desc = splitdoc(getdoc(object)) result = self.section('NAME', name + (synop and ' - ' + synop)) all = getattr(object, '__all__', None) docloc = self.getdocloc(object) if docloc is not None: result = result + self.section('MODULE REFERENCE', docloc + """ The following documentation is automatically generated from the Python source files. It may be incomplete, incorrect or include features that are considered implementation detail and may vary between Python implementations. When in doubt, consult the module reference at the location listed above. """) if desc: result = result + self.section('DESCRIPTION', desc) classes = [] for key, value in inspect.getmembers(object, inspect.isclass): # if __all__ exists, believe it. Otherwise use old heuristic. if (all is not None or (inspect.getmodule(value) or object) is object): if visiblename(key, all, object): classes.append((key, value)) funcs = [] for key, value in inspect.getmembers(object, inspect.isroutine): # if __all__ exists, believe it. Otherwise use old heuristic. if (all is not None or inspect.isbuiltin(value) or inspect.getmodule(value) is object): if visiblename(key, all, object): funcs.append((key, value)) data = [] for key, value in inspect.getmembers(object, isdata): if visiblename(key, all, object): data.append((key, value)) modpkgs = [] modpkgs_names = set() if hasattr(object, '__path__'): for importer, modname, ispkg in pkgutil.iter_modules(object.__path__): modpkgs_names.add(modname) if ispkg: modpkgs.append(modname + ' (package)') else: modpkgs.append(modname) modpkgs.sort() result = result + self.section( 'PACKAGE CONTENTS', '\n'.join(modpkgs)) # Detect submodules as sometimes created by C extensions submodules = [] for key, value in inspect.getmembers(object, inspect.ismodule): if value.__name__.startswith(name + '.') and key not in modpkgs_names: submodules.append(key) if submodules: submodules.sort() result = result + self.section( 'SUBMODULES', '\n'.join(submodules)) if classes: classlist = [value for key, value in classes] contents = [self.formattree( inspect.getclasstree(classlist, 1), name)] for key, value in classes: contents.append(self.document(value, key, name)) result = result + self.section('CLASSES', '\n'.join(contents)) if funcs: contents = [] for key, value in funcs: contents.append(self.document(value, key, name)) result = result + self.section('FUNCTIONS', '\n'.join(contents)) if data: contents = [] for key, value in data: contents.append(self.docother(value, key, name, maxlen=70)) result = result + self.section('DATA', '\n'.join(contents)) if hasattr(object, '__version__'): version = str(object.__version__) if version[:11] == '$' + 'Revision: ' and version[-1:] == '$': version = version[11:-1].strip() result = result + self.section('VERSION', version) if hasattr(object, '__date__'): result = result + self.section('DATE', str(object.__date__)) if hasattr(object, '__author__'): result = result + self.section('AUTHOR', str(object.__author__)) if hasattr(object, '__credits__'): result = result + self.section('CREDITS', str(object.__credits__)) try: file = inspect.getabsfile(object) except TypeError: file = '(built-in)' result = result + self.section('FILE', file) return result	[ "def", "docmodule", "(", "self", ",", "object", ",", "name", "=", "None", ",", "mod", "=", "None", ")", ":", "name", "=", "object", ".", "__name__", "# ignore the passed-in name", "synop", ",", "desc", "=", "splitdoc", "(", "getdoc", "(", "object", ")", ")", "result", "=", "self", ".", "section", "(", "'NAME'", ",", "name", "+", "(", "synop", "and", "' - '", "+", "synop", ")", ")", "all", "=", "getattr", "(", "object", ",", "'__all__'", ",", "None", ")", "docloc", "=", "self", ".", "getdocloc", "(", "object", ")", "if", "docloc", "is", "not", "None", ":", "result", "=", "result", "+", "self", ".", "section", "(", "'MODULE REFERENCE'", ",", "docloc", "+", "\"\"\"\n\nThe following documentation is automatically generated from the Python\nsource files. 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tensorflow/tensorflow	419e3a6b650ea4bd1b0cba23c4348f8a69f3272e	tensorflow/python/eager/context.py	python	set_global_seed	(seed)		Sets the eager mode seed.	Sets the eager mode seed.	[ "Sets", "the", "eager", "mode", "seed", "." ]	def set_global_seed(seed): """Sets the eager mode seed.""" context()._set_global_seed(seed)	[ "def", "set_global_seed", "(", "seed", ")", ":", "context", "(", ")", ".", "_set_global_seed", "(", "seed", ")" ]	https://github.com/tensorflow/tensorflow/blob/419e3a6b650ea4bd1b0cba23c4348f8a69f3272e/tensorflow/python/eager/context.py#L2105-L2107
miyosuda/TensorFlowAndroidMNIST	7b5a4603d2780a8a2834575706e9001977524007	jni-build/jni/include/tensorflow/python/client/session.py	python	_uniquify_fetches	(fetch_mappers)	return unique_fetches, value_indices	Uniquifies fetches from a list of fetch_mappers. This is a utility function used by _ListFetchMapper and _DictFetchMapper. It gathers all the unique fetches from a list of mappers and builds a list containing all of them but without duplicates (unique_fetches). It also returns a 2-D list of integers (values_indices) indicating at which index in unique_fetches the fetches of the mappers are located. This list is as follows: values_indices[mapper_index][mapper_fetch_index] = unique_fetches_index Args: fetch_mappers: list of fetch mappers. Returns: A list of fetches. A 2-D list of integers.	Uniquifies fetches from a list of fetch_mappers.	[ "Uniquifies", "fetches", "from", "a", "list", "of", "fetch_mappers", "." ]	def _uniquify_fetches(fetch_mappers): """Uniquifies fetches from a list of fetch_mappers. This is a utility function used by _ListFetchMapper and _DictFetchMapper. It gathers all the unique fetches from a list of mappers and builds a list containing all of them but without duplicates (unique_fetches). It also returns a 2-D list of integers (values_indices) indicating at which index in unique_fetches the fetches of the mappers are located. This list is as follows: values_indices[mapper_index][mapper_fetch_index] = unique_fetches_index Args: fetch_mappers: list of fetch mappers. Returns: A list of fetches. A 2-D list of integers. """ unique_fetches = [] value_indices = [] seen_fetches = {} for m in fetch_mappers: m_value_indices = [] for f in m.unique_fetches(): j = seen_fetches.get(f) if j is None: j = len(seen_fetches) seen_fetches[f] = j unique_fetches.append(f) m_value_indices.append(j) value_indices.append(m_value_indices) return unique_fetches, value_indices	[ "def", "_uniquify_fetches", "(", "fetch_mappers", ")", ":", "unique_fetches", "=", "[", "]", "value_indices", "=", "[", "]", "seen_fetches", "=", "{", "}", "for", "m", "in", "fetch_mappers", ":", "m_value_indices", "=", "[", "]", "for", "f", "in", "m", ".", "unique_fetches", "(", ")", ":", "j", "=", "seen_fetches", ".", "get", "(", "f", ")", "if", "j", "is", "None", ":", "j", "=", "len", "(", "seen_fetches", ")", "seen_fetches", "[", "f", "]", "=", "j", "unique_fetches", ".", "append", "(", "f", ")", "m_value_indices", ".", "append", "(", "j", ")", "value_indices", ".", "append", "(", "m_value_indices", ")", "return", "unique_fetches", ",", "value_indices" ]	https://github.com/miyosuda/TensorFlowAndroidMNIST/blob/7b5a4603d2780a8a2834575706e9001977524007/jni-build/jni/include/tensorflow/python/client/session.py#L242-L275
ApolloAuto/apollo-platform	86d9dc6743b496ead18d597748ebabd34a513289	ros/ros_comm/rosmaster/src/rosmaster/master_api.py	python	ROSMasterHandler.subscribeParam	(self, caller_id, caller_api, key)	return 1, "Subscribed to parameter [%s]"%key, val	Retrieve parameter value from server and subscribe to updates to that param. See paramUpdate() in the Node API. @param caller_id str: ROS caller id @type caller_id: str @param key: parameter to lookup. @type key: str @param caller_api: API URI for paramUpdate callbacks. @type caller_api: str @return: [code, statusMessage, parameterValue]. If code is not 1, parameterValue should be ignored. parameterValue is an empty dictionary if the parameter has not been set yet. @rtype: [int, str, XMLRPCLegalValue]	Retrieve parameter value from server and subscribe to updates to that param. See paramUpdate() in the Node API.	[ "Retrieve", "parameter", "value", "from", "server", "and", "subscribe", "to", "updates", "to", "that", "param", ".", "See", "paramUpdate", "()", "in", "the", "Node", "API", "." ]	def subscribeParam(self, caller_id, caller_api, key): """ Retrieve parameter value from server and subscribe to updates to that param. See paramUpdate() in the Node API. @param caller_id str: ROS caller id @type caller_id: str @param key: parameter to lookup. @type key: str @param caller_api: API URI for paramUpdate callbacks. @type caller_api: str @return: [code, statusMessage, parameterValue]. If code is not 1, parameterValue should be ignored. parameterValue is an empty dictionary if the parameter has not been set yet. @rtype: [int, str, XMLRPCLegalValue] """ key = resolve_name(key, caller_id) try: # ps_lock has precedence and is required due to # potential self.reg_manager modification self.ps_lock.acquire() val = self.param_server.subscribe_param(key, (caller_id, caller_api)) finally: self.ps_lock.release() return 1, "Subscribed to parameter [%s]"%key, val	[ "def", "subscribeParam", "(", "self", ",", "caller_id", ",", "caller_api", ",", "key", ")", ":", "key", "=", "resolve_name", "(", "key", ",", "caller_id", ")", "try", ":", "# ps_lock has precedence and is required due to", "# potential self.reg_manager modification", "self", ".", "ps_lock", ".", "acquire", "(", ")", "val", "=", "self", ".", "param_server", ".", "subscribe_param", "(", "key", ",", "(", "caller_id", ",", "caller_api", ")", ")", "finally", ":", "self", ".", "ps_lock", ".", "release", "(", ")", "return", "1", ",", "\"Subscribed to parameter [%s]\"", "%", "key", ",", "val" ]	https://github.com/ApolloAuto/apollo-platform/blob/86d9dc6743b496ead18d597748ebabd34a513289/ros/ros_comm/rosmaster/src/rosmaster/master_api.py#L432-L455
wxWidgets/wxPython-Classic	19571e1ae65f1ac445f5491474121998c97a1bf0	src/osx_carbon/_core.py	python	VersionInfo.GetMajor	(args, *kwargs)	return _core_.VersionInfo_GetMajor(args, *kwargs)	GetMajor(self) -> int	GetMajor(self) -> int	[ "GetMajor", "(", "self", ")", "-", ">", "int" ]	def GetMajor(args, kwargs): """GetMajor(self) -> int""" return _core_.VersionInfo_GetMajor(args, **kwargs)	[ "def", "GetMajor", "(", "", "args", ",", "", "", "kwargs", ")", ":", "return", "_core_", ".", "VersionInfo_GetMajor", "(", "", "args", ",", "", "", "kwargs", ")" ]	https://github.com/wxWidgets/wxPython-Classic/blob/19571e1ae65f1ac445f5491474121998c97a1bf0/src/osx_carbon/_core.py#L16569-L16571
eventql/eventql	7ca0dbb2e683b525620ea30dc40540a22d5eb227	deps/3rdparty/spidermonkey/mozjs/build/pymake/pymake/parser.py	python	parsestring	(s, filename)	return condstack[0]	Parse a string containing makefile data into a parserdata.StatementList.	Parse a string containing makefile data into a parserdata.StatementList.	[ "Parse", "a", "string", "containing", "makefile", "data", "into", "a", "parserdata", ".", "StatementList", "." ]	def parsestring(s, filename): """ Parse a string containing makefile data into a parserdata.StatementList. """ currule = False condstack = [parserdata.StatementList()] fdlines = enumeratelines(s, filename) for d in fdlines: assert len(condstack) > 0 offset = d.lstart if currule and offset < d.lend and d.s[offset] == '\t': e, token, offset = parsemakesyntax(d, offset + 1, (), itercommandchars) assert token is None assert offset is None condstack[-1].append(parserdata.Command(e)) continue # To parse Makefile syntax, we first strip leading whitespace and # look for initial keywords. If there are no keywords, it's either # setting a variable or writing a rule. offset = d.skipwhitespace(offset) if offset is None: continue m = _directivesre.match(d.s, offset, d.lend) if m is not None: kword = m.group(1) offset = m.end(0) if kword == 'endif': _ensureend(d, offset, "Unexpected data after 'endif' directive") if len(condstack) == 1: raise SyntaxError("unmatched 'endif' directive", d.getloc(offset)) condstack.pop().endloc = d.getloc(offset) continue if kword == 'else': if len(condstack) == 1: raise SyntaxError("unmatched 'else' directive", d.getloc(offset)) m = _conditionre.match(d.s, offset, d.lend) if m is None: _ensureend(d, offset, "Unexpected data after 'else' directive.") condstack[-1].addcondition(d.getloc(offset), parserdata.ElseCondition()) else: kword = m.group(1) if kword not in _conditionkeywords: raise SyntaxError("Unexpected condition after 'else' directive.", d.getloc(offset)) startoffset = offset offset = d.skipwhitespace(m.end(1)) c = _conditionkeywords[kword](d, offset) condstack[-1].addcondition(d.getloc(startoffset), c) continue if kword in _conditionkeywords: c = _conditionkeywords[kword](d, offset) cb = parserdata.ConditionBlock(d.getloc(d.lstart), c) condstack[-1].append(cb) condstack.append(cb) continue if kword == 'endef': raise SyntaxError("endef without matching define", d.getloc(offset)) if kword == 'define': currule = False vname, t, i = parsemakesyntax(d, offset, (), itermakefilechars) vname.rstrip() startloc = d.getloc(d.lstart) value = iterdefinelines(fdlines, startloc) condstack[-1].append(parserdata.SetVariable(vname, value=value, valueloc=startloc, token='=', targetexp=None)) continue if kword in ('include', '-include', 'includedeps', '-includedeps'): if kword.startswith('-'): required = False kword = kword[1:] else: required = True deps = kword == 'includedeps' currule = False incfile, t, offset = parsemakesyntax(d, offset, (), itermakefilechars) condstack[-1].append(parserdata.Include(incfile, required, deps)) continue if kword == 'vpath': currule = False e, t, offset = parsemakesyntax(d, offset, (), itermakefilechars) condstack[-1].append(parserdata.VPathDirective(e)) continue if kword == 'override': currule = False vname, token, offset = parsemakesyntax(d, offset, _varsettokens, itermakefilechars) vname.lstrip() vname.rstrip() if token is None: raise SyntaxError("Malformed override directive, need =", d.getloc(d.lstart)) value = flattenmakesyntax(d, offset).lstrip() condstack[-1].append(parserdata.SetVariable(vname, value=value, valueloc=d.getloc(offset), token=token, targetexp=None, source=data.Variables.SOURCE_OVERRIDE)) continue if kword == 'export': currule = False e, token, offset = parsemakesyntax(d, offset, _varsettokens, itermakefilechars) e.lstrip() e.rstrip() if token is None: condstack[-1].append(parserdata.ExportDirective(e, concurrent_set=False)) else: condstack[-1].append(parserdata.ExportDirective(e, concurrent_set=True)) value = flattenmakesyntax(d, offset).lstrip() condstack[-1].append(parserdata.SetVariable(e, value=value, valueloc=d.getloc(offset), token=token, targetexp=None)) continue if kword == 'unexport': e, token, offset = parsemakesyntax(d, offset, (), itermakefilechars) condstack[-1].append(parserdata.UnexportDirective(e)) continue e, token, offset = parsemakesyntax(d, offset, _varsettokens + ('::', ':'), itermakefilechars) if token is None: e.rstrip() e.lstrip() if not e.isempty(): condstack[-1].append(parserdata.EmptyDirective(e)) continue # if we encountered real makefile syntax, the current rule is over currule = False if token in _varsettokens: e.lstrip() e.rstrip() value = flattenmakesyntax(d, offset).lstrip() condstack[-1].append(parserdata.SetVariable(e, value=value, valueloc=d.getloc(offset), token=token, targetexp=None)) else: doublecolon = token == '::' # `e` is targets or target patterns, which can end up as # * a rule # * an implicit rule # * a static pattern rule # * a target-specific variable definition # * a pattern-specific variable definition # any of the rules may have order-only prerequisites # delimited by \|, and a command delimited by ; targets = e e, token, offset = parsemakesyntax(d, offset, _varsettokens + (':', '\|', ';'), itermakefilechars) if token in (None, ';'): condstack[-1].append(parserdata.Rule(targets, e, doublecolon)) currule = True if token == ';': offset = d.skipwhitespace(offset) e, t, offset = parsemakesyntax(d, offset, (), itercommandchars) condstack[-1].append(parserdata.Command(e)) elif token in _varsettokens: e.lstrip() e.rstrip() value = flattenmakesyntax(d, offset).lstrip() condstack[-1].append(parserdata.SetVariable(e, value=value, valueloc=d.getloc(offset), token=token, targetexp=targets)) elif token == '\|': raise SyntaxError('order-only prerequisites not implemented', d.getloc(offset)) else: assert token == ':' # static pattern rule pattern = e deps, token, offset = parsemakesyntax(d, offset, (';',), itermakefilechars) condstack[-1].append(parserdata.StaticPatternRule(targets, pattern, deps, doublecolon)) currule = True if token == ';': offset = d.skipwhitespace(offset) e, token, offset = parsemakesyntax(d, offset, (), itercommandchars) condstack[-1].append(parserdata.Command(e)) if len(condstack) != 1: raise SyntaxError("Condition never terminated with endif", condstack[-1].loc) return condstack[0]	[ "def", "parsestring", "(", "s", ",", "filename", ")", ":", "currule", "=", "False", "condstack", "=", "[", "parserdata", ".", "StatementList", "(", ")", "]", "fdlines", "=", "enumeratelines", "(", "s", ",", "filename", ")", "for", "d", "in", "fdlines", ":", "assert", "len", "(", "condstack", ")", ">", "0", "offset", "=", "d", ".", "lstart", "if", "currule", "and", "offset", "<", "d", ".", "lend", "and", "d", ".", "s", "[", "offset", "]", "==", "'\\t'", ":", "e", ",", "token", ",", "offset", "=", "parsemakesyntax", "(", "d", ",", "offset", "+", "1", ",", "(", ")", ",", "itercommandchars", ")", "assert", "token", "is", "None", "assert", "offset", "is", "None", "condstack", "[", "-", "1", "]", ".", "append", "(", "parserdata", ".", "Command", "(", "e", ")", ")", "continue", "# To parse Makefile syntax, we first strip leading whitespace and", "# look for initial keywords. 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]	https://github.com/eventql/eventql/blob/7ca0dbb2e683b525620ea30dc40540a22d5eb227/deps/3rdparty/spidermonkey/mozjs/build/pymake/pymake/parser.py#L425-L635
trilinos/Trilinos	6168be6dd51e35e1cd681e9c4b24433e709df140	packages/seacas/libraries/ioss/src/visualization/catalyst/phactori/phactori.py	python	ShowDataColorLegendXX	(inPvView, inOnOffSetting, inColorLegendPositionAndSize, inColorSettings, inColorLegendRepRef, inPvDataRep)	return newScalarBarWidgetRepresentation	Turns on or off the display of the color bar legend showing the mapping between the color and the data value (and the name of the data value. (note this is primarily to do the paraview-side work to turn bar on or off, on to set up for rendering in the shared view, off to turn off rendering in shared view. On or off state for rendering is stored as a flag in the ioPhactoriImagesetBlock instance	Turns on or off the display of the color bar legend showing the mapping between the color and the data value (and the name of the data value. (note this is primarily to do the paraview-side work to turn bar on or off, on to set up for rendering in the shared view, off to turn off rendering in shared view. On or off state for rendering is stored as a flag in the ioPhactoriImagesetBlock instance	[ "Turns", "on", "or", "off", "the", "display", "of", "the", "color", "bar", "legend", "showing", "the", "mapping", "between", "the", "color", "and", "the", "data", "value", "(", "and", "the", "name", "of", "the", "data", "value", ".", "(", "note", "this", "is", "primarily", "to", "do", "the", "paraview", "-", "side", "work", "to", "turn", "bar", "on", "or", "off", "on", "to", "set", "up", "for", "rendering", "in", "the", "shared", "view", "off", "to", "turn", "off", "rendering", "in", "shared", "view", ".", "On", "or", "off", "state", "for", "rendering", "is", "stored", "as", "a", "flag", "in", "the", "ioPhactoriImagesetBlock", "instance" ]	def ShowDataColorLegendXX(inPvView, inOnOffSetting, inColorLegendPositionAndSize, inColorSettings, inColorLegendRepRef, inPvDataRep): """Turns on or off the display of the color bar legend showing the mapping between the color and the data value (and the name of the data value. (note this is primarily to do the paraview-side work to turn bar on or off, on to set up for rendering in the shared view, off to turn off rendering in shared view. On or off state for rendering is stored as a flag in the ioPhactoriImagesetBlock instance""" if PhactoriDbg(100): myDebugPrint3('phactori.ShowDataColorLegendXX entered, setting:' + \ inOnOffSetting + '\n', 100) if(inOnOffSetting == 'on'): myVisibility = 1 else: myVisibility = 0 if inColorLegendRepRef != None: if PhactoriDbg(100): myDebugPrint3("A inColorLegendRepRef was " + \ str(inColorLegendRepRef.Visibility) + \ " now 0: " + str(inColorLegendRepRef) + "\n") inColorLegendRepRef.Visibility = 0 myDebugPrint3( 'phactori.ShowDataColorLegendXX returing with none rep: ' + \ inOnOffSetting + '\n', 100) return None if gParaViewCatalystVersionFlag <= 40100: localColorArrayName = \ inPvDataRep.ColorArrayName else: localColorArrayName = \ inPvDataRep.ColorArrayName[1] if inColorLegendRepRef != None: #myDebugPrint3(' phactori.ShowDataColorLegend using rep reference\n', 100) #if inColorLegendRepRef.ColorArrayName == '': # return inPvView.OrientationAxesLabelColor = inColorSettings.mTextColor if PhactoriDbg(100): myDebugPrint3("B inColorLegendRepRef was " + \ str(inColorLegendRepRef.Visibility) + \ " now " + str(myVisibility) + ": " + str(inColorLegendRepRef) + "\n") inColorLegendRepRef.Visibility = myVisibility inColorLegendRepRef.LookupTable = inPvDataRep.LookupTable inColorLegendRepRef.Title = localColorArrayName #ioPhactoriImagesetBlock.mColorLegendRepRef.Color = \ # inColorSettings.mTextColor if PhactoriDbg(100): myDebugPrint3( 'phactori.ShowDataColorLegendXX returing with old rep: ' + \ inOnOffSetting + '\n', 100) return inColorLegendRepRef #else: #myDebugPrint3(' phactori.ShowDataColorLegend have to create rep reference\n', 100) if inColorLegendPositionAndSize[0] == 'parameters': legendSizeMultiplier = None legendSize = inColorLegendPositionAndSize[3] legendFontSize = inColorLegendPositionAndSize[4] else: legendSizeMultiplier = inColorLegendPositionAndSize[1] if gParaViewCatalystVersionFlag <= 40100: #our own factor to make legends smaller generally legendSizeMultiplier = 0.6 else: #legendSizeMultiplier = 1.0 legendSizeMultiplier = 0.7 #legendFontSize = int(12.0 legendSizeMultiplier) legendFontSize = int(9.0 * legendSizeMultiplier) if gParaViewCatalystVersionFlag <= 40100: colorLegendDefaultLongSize = 0.5 colorLegendDefaultShortSize = 0.13 else: #[0.12, 0.43] #[0.85, 0.05] colorLegendDefaultLongSize = 0.43 colorLegendDefaultShortSize = 0.12 colorLegendAdjustedLongSize = colorLegendDefaultLongSize * legendSizeMultiplier colorLegendAdjustedShortSize = colorLegendDefaultShortSize * legendSizeMultiplier horizontalLegendSize = [colorLegendAdjustedLongSize, colorLegendAdjustedShortSize] verticalLegendSize = [colorLegendAdjustedShortSize, colorLegendAdjustedLongSize] xPosForBottomTop = 0.5 - 0.5 * colorLegendAdjustedLongSize yPosForLeftRight = 0.5 - 0.5 * colorLegendAdjustedShortSize if gParaViewCatalystVersionFlag < 50400: if inColorLegendPositionAndSize[0] == 'top': legendOrientation = 'Horizontal' legendSize = horizontalLegendSize legendPosition=[xPosForBottomTop, 0.85] elif inColorLegendPositionAndSize[0] == 'bottom': legendOrientation = 'Horizontal' legendSize = horizontalLegendSize legendPosition=[xPosForBottomTop, 0.02] elif inColorLegendPositionAndSize[0] == 'left': legendOrientation = 'Vertical' legendSize = verticalLegendSize legendPosition=[0.065, yPosForLeftRight] elif inColorLegendPositionAndSize[0] == 'right': legendOrientation = 'Vertical' legendSize = verticalLegendSize legendPosition=[0.9, yPosForLeftRight] elif inColorLegendPositionAndSize[0] == 'top left': legendOrientation = 'Horizontal' legendSize = horizontalLegendSize legendPosition=[0.065, 0.85] elif inColorLegendPositionAndSize[0] == 'top right': legendOrientation = 'Horizontal' legendSize = horizontalLegendSize legendPosition=[0.7, 0.85] elif inColorLegendPositionAndSize[0] == 'bottom left': legendOrientation = 'Horizontal' legendSize = horizontalLegendSize #legendPosition=[0.065, 0.85] legendPosition=[0.065, 0.01] elif inColorLegendPositionAndSize[0] == 'bottom right': legendOrientation = 'Horizontal' legendSize = horizontalLegendSize #legendPosition=[0.7, 0.05] legendPosition=[0.7, 0.01] elif inColorLegendPositionAndSize[0] == 'parameters': legendOrientation = inColorLegendPositionAndSize[1] legendSize = horizontalLegendSize legendPosition = inColorLegendPositionAndSize[2] else: legendOrientation = 'Horizontal' legendSize = horizontalLegendSize #legendPosition=[xPosForBottomTop, 0.05] legendPosition=[xPosForBottomTop, 0.01] if PhactoriDbg(): myDebugPrint3("legend info:\n legendSizeMultiplier: " + str(legendSizeMultiplier) + "\n" \ " legendSize: " + str(legendSize) + "\n" \ " legendPos: " + str(legendPosition) + "\n"\ " legendOrientation: " + str(legendOrientation) + "\n"\ " legendFontSize: " + str(legendFontSize) + "\n") else: defaultLegendLength = 0.33 defaultMidPos = 0.5 - 0.5*defaultLegendLength #legendFontSize = 16 #legendSize = 1.0 #validPositions = ['UpperLeftCorner', 'UpperRightCorner', # 'LowerLeftCorner', 'LowerRightCorner', # 'UpperCenter', 'LowerCenter'] legendPosition=[0.0, 0.0] if inColorLegendPositionAndSize[0] == 'top': legendOrientation = 'Horizontal' legendWindowLocation = 'UpperCenter' elif inColorLegendPositionAndSize[0] == 'bottom': legendOrientation = 'Horizontal' legendWindowLocation = 'LowerCenter' elif inColorLegendPositionAndSize[0] == 'left': legendOrientation = 'Vertical' legendPosition=[0.02, defaultMidPos] legendWindowLocation = 'AnyLocation' elif inColorLegendPositionAndSize[0] == 'right': legendOrientation = 'Vertical' legendPosition=[0.89, defaultMidPos] legendWindowLocation = 'AnyLocation' elif inColorLegendPositionAndSize[0] == 'top left': legendOrientation = 'Vertical' legendWindowLocation = 'UpperLeftCorner' elif inColorLegendPositionAndSize[0] == 'top right': legendOrientation = 'Vertical' legendWindowLocation = 'UpperRightCorner' elif inColorLegendPositionAndSize[0] == 'bottom left': legendOrientation = 'Vertical' legendWindowLocation = 'LowerLeftCorner' elif inColorLegendPositionAndSize[0] == 'bottom right': legendOrientation = 'Vertical' legendWindowLocation = 'LowerRightCorner' elif inColorLegendPositionAndSize[0] == 'parameters': legendOrientation = inColorLegendPositionAndSize[1] legendPosition = inColorLegendPositionAndSize[2] legendWindowLocation = 'AnyLocation' else: legendOrientation = 'Vertical' legendWindowLocation = 'LowerRightCorner' #newScalarBarWidgetRepresentation = CreateScalarBar( Title=inPvDataRep.ColorArrayName, Position2=[0.13, 0.5], TitleOpacity=1.0, TitleShadow=0, AutomaticLabelFormat=1, TitleFontSize=12, TitleColor=[1.0, 1.0, 1.0], AspectRatio=20.0, NumberOfLabels=5, ComponentTitle='', Resizable=1, TitleFontFamily='Arial', Visibility=myVisibility, LabelFontSize=12, LabelFontFamily='Arial', TitleItalic=0, Selectable=0, LabelItalic=0, Enabled=0, LabelColor=[1.0, 1.0, 1.0], Position=[0.9, 0.31396255850234012], LabelBold=0, UseNonCompositedRenderer=1, LabelOpacity=1.0, TitleBold=0, LabelFormat='%-#6.3g', Orientation='Vertical', LabelShadow=0, LookupTable=inPvDataRep.LookupTable, Repositionable=1 ) if gParaViewCatalystVersionFlag <= 40100: newScalarBarWidgetRepresentation = CreateScalarBar(Title=localColorArrayName, Orientation=legendOrientation, Position=legendPosition, Position2 = legendSize, Visibility=myVisibility, LookupTable=inPvDataRep.LookupTable, LabelFontSize=legendFontSize, TitleOpacity=1.0, TitleShadow=0, AutomaticLabelFormat=1, TitleFontSize=legendFontSize, TitleColor=inColorSettings.mTextColor, AspectRatio=20.0, NumberOfLabels=5, ComponentTitle='', Resizable=1, TitleFontFamily='Arial', LabelFontFamily='Arial', TitleItalic=0, Selectable=0, LabelItalic=0, Enabled=0, LabelColor=inColorSettings.mTextColor, LabelBold=0, UseNonCompositedRenderer=1, LabelOpacity=1.0, TitleBold=0, LabelFormat='%-#6.3g', LabelShadow=0, Repositionable=1) elif gParaViewCatalystVersionFlag < 50400: newScalarBarWidgetRepresentation = CreateScalarBar(Title=localColorArrayName, Orientation=legendOrientation, Position=legendPosition, Position2 = legendSize, Visibility=myVisibility, LookupTable=inPvDataRep.LookupTable, LabelFontSize=legendFontSize, #TitleOpacity=1.0, #TitleShadow=0, #AutomaticLabelFormat=1, TitleFontSize=legendFontSize, TitleColor=inColorSettings.mTextColor, AspectRatio=20.0, #NumberOfLabels=5, ComponentTitle='', #Resizable=1, #TitleFontFamily='Arial', #LabelFontFamily='Arial', #TitleItalic=0, #Selectable=0, #LabelItalic=0, #Enabled=0, LabelColor=inColorSettings.mTextColor, #LabelBold=0, #UseNonCompositedRenderer=1, #LabelOpacity=1.0, #TitleBold=0, #LabelFormat='%-#6.3g', #LabelShadow=0, #Repositionable=1 ) else: newScalarBarWidgetRepresentation = CreateScalarBar( Title=localColorArrayName, ComponentTitle='') newScalarBarWidgetRepresentation.Orientation = legendOrientation newScalarBarWidgetRepresentation.WindowLocation = legendWindowLocation if legendWindowLocation == 'AnyLocation': newScalarBarWidgetRepresentation.Position = legendPosition if PhactoriDbg(): nbwr = newScalarBarWidgetRepresentation myDebugPrint3("newScalarBarWidgetRepresentation:\n" +\ str(nbwr) + "\n" +\ " Title: " + str(nbwr.Title) + "\n" +\ " ComponentTitle: " + str(nbwr.ComponentTitle) + "\n" +\ " WindowLocation: " + str(nbwr.WindowLocation) + "\n" +\ " Position: " + str(nbwr.Position) + "\n" +\ " ScalarBarLength: " + str(nbwr.ScalarBarLength) + "\n" +\ " ScalarBarThickness: " + str(nbwr.ScalarBarThickness) + "\n" +\ " Orientation: " + str(nbwr.Orientation) + "\n" +\ " LabelFontSize: " + str(nbwr.LabelFontSize) + "\n" +\ " TitleFontSize: " + str(nbwr.TitleFontSize) + "\n" +\ " LabelFontFamily: " + str(nbwr.LabelFontFamily) + "\n" +\ " TitleFontFamily: " + str(nbwr.TitleFontSize) + "\n") #" LockPosition: " + str(nbwr.LockPosition) + "\n" +\ #" Repositionable: " + str(nbwr.Repositionable) + "\n" +\ #" AutoOrient: " + str(nbwr.AutoOrient) + "\n" +\ inPvView.OrientationAxesLabelColor = inColorSettings.mTextColor inPvView.Representations.append(newScalarBarWidgetRepresentation) #ioPhactoriImagesetBlock.mColorLegendRepRef = \ # newScalarBarWidgetRepresentation if PhactoriDbg(): myDebugPrint3("current lookup table:\n"); if PhactoriDbg(): myDebugPrint3(str(inPvDataRep.LookupTable) + '\n') if PhactoriDbg(): myDebugPrint3("RGBPoints:\n"); if PhactoriDbg(): if gParaViewCatalystVersionFlag <= 40100: myLocalRGBPoints = inPvDataRep.LookupTable.RGBPoints else: pv_4_3_LUT = GetColorTransferFunction( inPvDataRep.ColorArrayName[1]) myLocalRGBPoints = pv_4_3_LUT.RGBPoints myDebugPrint3(str(myLocalRGBPoints) + '\n') if PhactoriDbg(): myDebugPrint3("widget:\n"); if PhactoriDbg(): myDebugPrint3(str(newScalarBarWidgetRepresentation) + '\n') if PhactoriDbg(100): myDebugPrint3('phactori.ShowDataColorLegendXX returing with new rep: ' + \ inOnOffSetting + '\n', 100) return newScalarBarWidgetRepresentation	[ "def", "ShowDataColorLegendXX", "(", "inPvView", ",", "inOnOffSetting", ",", "inColorLegendPositionAndSize", 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CreateScalarBar( Title=inPvDataRep.ColorArrayName, Position2=[0.13, 0.5], TitleOpacity=1.0, TitleShadow=0, AutomaticLabelFormat=1, TitleFontSize=12, TitleColor=[1.0, 1.0, 1.0], AspectRatio=20.0, NumberOfLabels=5, ComponentTitle='', Resizable=1, TitleFontFamily='Arial', Visibility=myVisibility, LabelFontSize=12, LabelFontFamily='Arial', TitleItalic=0, Selectable=0, LabelItalic=0, Enabled=0, LabelColor=[1.0, 1.0, 1.0], Position=[0.9, 0.31396255850234012], LabelBold=0, UseNonCompositedRenderer=1, LabelOpacity=1.0, TitleBold=0, LabelFormat='%-#6.3g', Orientation='Vertical', LabelShadow=0, LookupTable=inPvDataRep.LookupTable, Repositionable=1 )", "if", "gParaViewCatalystVersionFlag", "<=", "40100", ":", "newScalarBarWidgetRepresentation", "=", "CreateScalarBar", "(", "Title", "=", "localColorArrayName", ",", "Orientation", "=", "legendOrientation", ",", "Position", "=", "legendPosition", ",", "Position2", "=", "legendSize", ",", "Visibility", "=", "myVisibility", ",", "LookupTable", "=", 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"nbwr", ".", "Position", ")", "+", "\"\\n\"", "+", "\" ScalarBarLength: \"", "+", "str", "(", "nbwr", ".", "ScalarBarLength", ")", "+", "\"\\n\"", "+", "\" ScalarBarThickness: \"", "+", "str", "(", "nbwr", ".", "ScalarBarThickness", ")", "+", "\"\\n\"", "+", "\" Orientation: \"", "+", "str", "(", "nbwr", ".", "Orientation", ")", "+", "\"\\n\"", "+", "\" LabelFontSize: \"", "+", "str", "(", "nbwr", ".", "LabelFontSize", ")", "+", "\"\\n\"", "+", "\" TitleFontSize: \"", "+", "str", "(", "nbwr", ".", "TitleFontSize", ")", "+", "\"\\n\"", "+", "\" LabelFontFamily: \"", "+", "str", "(", "nbwr", ".", "LabelFontFamily", ")", "+", "\"\\n\"", "+", "\" TitleFontFamily: \"", "+", "str", "(", "nbwr", ".", "TitleFontSize", ")", "+", "\"\\n\"", ")", "#\" LockPosition: \" + str(nbwr.LockPosition) + \"\\n\" +\\", "#\" Repositionable: \" + str(nbwr.Repositionable) + \"\\n\" +\\", "#\" AutoOrient: \" + str(nbwr.AutoOrient) + \"\\n\" +\\", "inPvView", ".", "OrientationAxesLabelColor", "=", "inColorSettings", ".", "mTextColor", "inPvView", ".", "Representations", ".", "append", "(", "newScalarBarWidgetRepresentation", ")", "#ioPhactoriImagesetBlock.mColorLegendRepRef = \\", "# newScalarBarWidgetRepresentation", "if", "PhactoriDbg", "(", ")", ":", "myDebugPrint3", "(", "\"current lookup table:\\n\"", ")", "if", "PhactoriDbg", "(", ")", ":", "myDebugPrint3", "(", "str", "(", "inPvDataRep", ".", "LookupTable", ")", "+", "'\\n'", ")", "if", "PhactoriDbg", "(", ")", ":", "myDebugPrint3", "(", "\"RGBPoints:\\n\"", ")", "if", "PhactoriDbg", "(", ")", ":", "if", "gParaViewCatalystVersionFlag", "<=", "40100", ":", "myLocalRGBPoints", "=", "inPvDataRep", ".", "LookupTable", ".", "RGBPoints", "else", ":", "pv_4_3_LUT", "=", "GetColorTransferFunction", "(", "inPvDataRep", ".", "ColorArrayName", "[", "1", "]", ")", "myLocalRGBPoints", "=", "pv_4_3_LUT", ".", "RGBPoints", "myDebugPrint3", "(", "str", "(", "myLocalRGBPoints", ")", "+", "'\\n'", ")", "if", "PhactoriDbg", "(", ")", ":", "myDebugPrint3", "(", "\"widget:\\n\"", ")", "if", "PhactoriDbg", "(", ")", ":", "myDebugPrint3", "(", "str", "(", "newScalarBarWidgetRepresentation", ")", "+", "'\\n'", ")", "if", "PhactoriDbg", "(", "100", ")", ":", "myDebugPrint3", "(", "'phactori.ShowDataColorLegendXX returing with new rep: '", "+", "inOnOffSetting", "+", "'\\n'", ",", "100", ")", "return", "newScalarBarWidgetRepresentation" ]	https://github.com/trilinos/Trilinos/blob/6168be6dd51e35e1cd681e9c4b24433e709df140/packages/seacas/libraries/ioss/src/visualization/catalyst/phactori/phactori.py#L12516-L12817
hughperkins/tf-coriander	970d3df6c11400ad68405f22b0c42a52374e94ca	tensorflow/contrib/graph_editor/select.py	python	get_walks_union_ops	(forward_seed_ops, backward_seed_ops, forward_inclusive=True, backward_inclusive=True, within_ops=None, control_inputs=False, control_outputs=None, control_ios=None)	return util.concatenate_unique(forward_ops, backward_ops)	Return the union of a forward and a backward walk. Args: forward_seed_ops: an iterable of operations from which the forward graph walk starts. If a list of tensors is given instead, the seed_ops are set to be the consumers of those tensors. backward_seed_ops: an iterable of operations from which the backward graph walk starts. If a list of tensors is given instead, the seed_ops are set to be the generators of those tensors. forward_inclusive: if True the given forward_seed_ops are also part of the resulting set. backward_inclusive: if True the given backward_seed_ops are also part of the resulting set. within_ops: restrict the search within those operations. If within_ops is None, the search is done within the whole graph. control_inputs: A boolean indicating whether control inputs are enabled. control_outputs: An instance of util.ControlOutputs or None. If not None, control outputs are enabled. control_ios: An instance of util.ControlOutputs or None. If not None, both control inputs and control outputs are enabled. This is equivalent to set control_inputs to True and control_outputs to the util.ControlOutputs instance. Returns: A Python set of all the tf.Operation in the union of a forward and a backward walk. Raises: TypeError: if forward_seed_ops or backward_seed_ops or within_ops cannot be converted to a list of tf.Operation.	Return the union of a forward and a backward walk.	[ "Return", "the", "union", "of", "a", "forward", "and", "a", "backward", "walk", "." ]	def get_walks_union_ops(forward_seed_ops, backward_seed_ops, forward_inclusive=True, backward_inclusive=True, within_ops=None, control_inputs=False, control_outputs=None, control_ios=None): """Return the union of a forward and a backward walk. Args: forward_seed_ops: an iterable of operations from which the forward graph walk starts. If a list of tensors is given instead, the seed_ops are set to be the consumers of those tensors. backward_seed_ops: an iterable of operations from which the backward graph walk starts. If a list of tensors is given instead, the seed_ops are set to be the generators of those tensors. forward_inclusive: if True the given forward_seed_ops are also part of the resulting set. backward_inclusive: if True the given backward_seed_ops are also part of the resulting set. within_ops: restrict the search within those operations. If within_ops is None, the search is done within the whole graph. control_inputs: A boolean indicating whether control inputs are enabled. control_outputs: An instance of util.ControlOutputs or None. If not None, control outputs are enabled. control_ios: An instance of util.ControlOutputs or None. If not None, both control inputs and control outputs are enabled. This is equivalent to set control_inputs to True and control_outputs to the util.ControlOutputs instance. Returns: A Python set of all the tf.Operation in the union of a forward and a backward walk. Raises: TypeError: if forward_seed_ops or backward_seed_ops or within_ops cannot be converted to a list of tf.Operation. """ control_inputs, control_outputs = check_cios(control_inputs, control_outputs, control_ios) forward_ops = get_forward_walk_ops( forward_seed_ops, inclusive=forward_inclusive, within_ops=within_ops, control_outputs=control_outputs) backward_ops = get_backward_walk_ops( backward_seed_ops, inclusive=backward_inclusive, within_ops=within_ops, control_inputs=control_inputs) return util.concatenate_unique(forward_ops, backward_ops)	[ "def", "get_walks_union_ops", "(", "forward_seed_ops", ",", "backward_seed_ops", ",", "forward_inclusive", "=", "True", ",", "backward_inclusive", "=", "True", ",", "within_ops", "=", "None", ",", "control_inputs", "=", "False", ",", "control_outputs", "=", "None", ",", "control_ios", "=", "None", ")", ":", "control_inputs", ",", "control_outputs", "=", "check_cios", "(", "control_inputs", ",", "control_outputs", ",", "control_ios", ")", "forward_ops", "=", "get_forward_walk_ops", "(", "forward_seed_ops", ",", "inclusive", "=", "forward_inclusive", ",", "within_ops", "=", "within_ops", ",", "control_outputs", "=", "control_outputs", ")", "backward_ops", "=", "get_backward_walk_ops", "(", "backward_seed_ops", ",", "inclusive", "=", "backward_inclusive", ",", "within_ops", "=", "within_ops", ",", "control_inputs", "=", "control_inputs", ")", "return", "util", ".", "concatenate_unique", "(", "forward_ops", ",", "backward_ops", ")" ]	https://github.com/hughperkins/tf-coriander/blob/970d3df6c11400ad68405f22b0c42a52374e94ca/tensorflow/contrib/graph_editor/select.py#L562-L611
pytorch/pytorch	7176c92687d3cc847cc046bf002269c6949a21c2	torch/nn/modules/utils.py	python	consume_prefix_in_state_dict_if_present	( state_dict: Dict[str, Any], prefix: str )		r"""Strip the prefix in state_dict in place, if any. ..note:: Given a `state_dict` from a DP/DDP model, a local model can load it by applying `consume_prefix_in_state_dict_if_present(state_dict, "module.")` before calling :meth:`torch.nn.Module.load_state_dict`. Args: state_dict (OrderedDict): a state-dict to be loaded to the model. prefix (str): prefix.	r"""Strip the prefix in state_dict in place, if any.	[ "r", "Strip", "the", "prefix", "in", "state_dict", "in", "place", "if", "any", "." ]	def consume_prefix_in_state_dict_if_present( state_dict: Dict[str, Any], prefix: str ) -> None: r"""Strip the prefix in state_dict in place, if any. ..note:: Given a `state_dict` from a DP/DDP model, a local model can load it by applying `consume_prefix_in_state_dict_if_present(state_dict, "module.")` before calling :meth:`torch.nn.Module.load_state_dict`. Args: state_dict (OrderedDict): a state-dict to be loaded to the model. prefix (str): prefix. """ keys = sorted(state_dict.keys()) for key in keys: if key.startswith(prefix): newkey = key[len(prefix) :] state_dict[newkey] = state_dict.pop(key) # also strip the prefix in metadata if any. if "_metadata" in state_dict: metadata = state_dict["_metadata"] for key in list(metadata.keys()): # for the metadata dict, the key can be: # '': for the DDP module, which we want to remove. # 'module': for the actual model. # 'module.xx.xx': for the rest. if len(key) == 0: continue newkey = key[len(prefix) :] metadata[newkey] = metadata.pop(key)	[ "def", "consume_prefix_in_state_dict_if_present", "(", "state_dict", ":", "Dict", "[", "str", ",", "Any", "]", ",", "prefix", ":", "str", ")", "->", "None", ":", "keys", "=", "sorted", "(", "state_dict", ".", "keys", "(", ")", ")", "for", "key", "in", "keys", ":", "if", "key", ".", "startswith", "(", "prefix", ")", ":", "newkey", "=", "key", "[", "len", "(", "prefix", ")", ":", "]", "state_dict", "[", "newkey", "]", "=", "state_dict", ".", "pop", "(", "key", ")", "# also strip the prefix in metadata if any.", "if", "\"_metadata\"", "in", "state_dict", ":", "metadata", "=", "state_dict", "[", "\"_metadata\"", "]", "for", "key", "in", "list", "(", "metadata", ".", "keys", "(", ")", ")", ":", "# for the metadata dict, the key can be:", "# '': for the DDP module, which we want to remove.", "# 'module': for the actual model.", "# 'module.xx.xx': for the rest.", "if", "len", "(", "key", ")", "==", "0", ":", "continue", "newkey", "=", "key", "[", "len", "(", "prefix", ")", ":", "]", "metadata", "[", "newkey", "]", "=", "metadata", ".", "pop", "(", "key", ")" ]	https://github.com/pytorch/pytorch/blob/7176c92687d3cc847cc046bf002269c6949a21c2/torch/nn/modules/utils.py#L43-L75
microsoft/DirectXShaderCompiler	8348ff8d9e0287610ba05d3a828e10af981a1c05	tools/clang/bindings/python/clang/cindex.py	python	Type.get_array_size	(self)	return conf.lib.clang_getArraySize(self)	Retrieve the size of the constant array.	Retrieve the size of the constant array.	[ "Retrieve", "the", "size", "of", "the", "constant", "array", "." ]	def get_array_size(self): """ Retrieve the size of the constant array. """ return conf.lib.clang_getArraySize(self)	[ "def", "get_array_size", "(", "self", ")", ":", "return", "conf", ".", "lib", ".", "clang_getArraySize", "(", "self", ")" ]	https://github.com/microsoft/DirectXShaderCompiler/blob/8348ff8d9e0287610ba05d3a828e10af981a1c05/tools/clang/bindings/python/clang/cindex.py#L1862-L1866
BestSonny/SSTD	174d452189f6bf9cf4b6957719392008bd974069	python/caffe/io.py	python	datum_to_array	(datum)		Converts a datum to an array. Note that the label is not returned, as one can easily get it by calling datum.label.	Converts a datum to an array. Note that the label is not returned, as one can easily get it by calling datum.label.	[ "Converts", "a", "datum", "to", "an", "array", ".", "Note", "that", "the", "label", "is", "not", "returned", "as", "one", "can", "easily", "get", "it", "by", "calling", "datum", ".", "label", "." ]	def datum_to_array(datum): """Converts a datum to an array. Note that the label is not returned, as one can easily get it by calling datum.label. """ if len(datum.data): return np.fromstring(datum.data, dtype=np.uint8).reshape( datum.channels, datum.height, datum.width) else: return np.array(datum.float_data).astype(float).reshape( datum.channels, datum.height, datum.width)	[ "def", "datum_to_array", "(", "datum", ")", ":", "if", "len", "(", "datum", ".", "data", ")", ":", "return", "np", ".", "fromstring", "(", "datum", ".", "data", ",", "dtype", "=", "np", ".", "uint8", ")", ".", "reshape", "(", "datum", ".", "channels", ",", "datum", ".", "height", ",", "datum", ".", "width", ")", "else", ":", "return", "np", ".", "array", "(", "datum", ".", "float_data", ")", ".", "astype", "(", "float", ")", ".", "reshape", "(", "datum", ".", "channels", ",", "datum", ".", "height", ",", "datum", ".", "width", ")" ]	https://github.com/BestSonny/SSTD/blob/174d452189f6bf9cf4b6957719392008bd974069/python/caffe/io.py#L84-L93
grpc/grpc	27bc6fe7797e43298dc931b96dc57322d0852a9f	src/python/grpcio/grpc/framework/interfaces/face/utilities.py	python	unary_unary_event	(behavior)	return _MethodImplementation(cardinality.Cardinality.UNARY_UNARY, style.Service.EVENT, None, None, None, None, behavior, None, None, None)	Creates an face.MethodImplementation for the given behavior. Args: behavior: The implementation of a unary-unary RPC method as a callable value that takes a request value, a response callback to which to pass the response value of the RPC, and an face.ServicerContext. Returns: An face.MethodImplementation derived from the given behavior.	Creates an face.MethodImplementation for the given behavior.	[ "Creates", "an", "face", ".", "MethodImplementation", "for", "the", "given", "behavior", "." ]	def unary_unary_event(behavior): """Creates an face.MethodImplementation for the given behavior. Args: behavior: The implementation of a unary-unary RPC method as a callable value that takes a request value, a response callback to which to pass the response value of the RPC, and an face.ServicerContext. Returns: An face.MethodImplementation derived from the given behavior. """ return _MethodImplementation(cardinality.Cardinality.UNARY_UNARY, style.Service.EVENT, None, None, None, None, behavior, None, None, None)	[ "def", "unary_unary_event", "(", "behavior", ")", ":", "return", "_MethodImplementation", "(", "cardinality", ".", "Cardinality", ".", "UNARY_UNARY", ",", "style", ".", "Service", ".", "EVENT", ",", "None", ",", "None", ",", "None", ",", "None", ",", "behavior", ",", "None", ",", "None", ",", "None", ")" ]	https://github.com/grpc/grpc/blob/27bc6fe7797e43298dc931b96dc57322d0852a9f/src/python/grpcio/grpc/framework/interfaces/face/utilities.py#L105-L118
perilouswithadollarsign/cstrike15_src	f82112a2388b841d72cb62ca48ab1846dfcc11c8	thirdparty/protobuf-2.5.0/python/mox.py	python	In.equals	(self, rhs)	return self._key in rhs	Check to see whether key is in rhs. Args: rhs: dict Returns: bool	Check to see whether key is in rhs.	[ "Check", "to", "see", "whether", "key", "is", "in", "rhs", "." ]	def equals(self, rhs): """Check to see whether key is in rhs. Args: rhs: dict Returns: bool """ return self._key in rhs	[ "def", "equals", "(", "self", ",", "rhs", ")", ":", "return", "self", ".", "_key", "in", "rhs" ]	https://github.com/perilouswithadollarsign/cstrike15_src/blob/f82112a2388b841d72cb62ca48ab1846dfcc11c8/thirdparty/protobuf-2.5.0/python/mox.py#L955-L965
wy1iu/LargeMargin_Softmax_Loss	c3e9f20e4f16e2b4daf7d358a614366b9b39a6ec	scripts/cpp_lint.py	python	_NestingState.SeenOpenBrace	(self)	return (not self.stack) or self.stack[-1].seen_open_brace	Check if we have seen the opening brace for the innermost block. Returns: True if we have seen the opening brace, False if the innermost block is still expecting an opening brace.	Check if we have seen the opening brace for the innermost block.	[ "Check", "if", "we", "have", "seen", "the", "opening", "brace", "for", "the", "innermost", "block", "." ]	def SeenOpenBrace(self): """Check if we have seen the opening brace for the innermost block. Returns: True if we have seen the opening brace, False if the innermost block is still expecting an opening brace. """ return (not self.stack) or self.stack[-1].seen_open_brace	[ "def", "SeenOpenBrace", "(", "self", ")", ":", "return", "(", "not", "self", ".", "stack", ")", "or", "self", ".", "stack", "[", "-", "1", "]", ".", "seen_open_brace" ]	https://github.com/wy1iu/LargeMargin_Softmax_Loss/blob/c3e9f20e4f16e2b4daf7d358a614366b9b39a6ec/scripts/cpp_lint.py#L1931-L1938
thalium/icebox	99d147d5b9269222225443ce171b4fd46d8985d4	third_party/virtualbox/src/libs/libxml2-2.9.4/python/libxml2class.py	python	outputBuffer.htmlDocContentDumpFormatOutput	(self, cur, encoding, format)		Dump an HTML document.	Dump an HTML document.	[ "Dump", "an", "HTML", "document", "." ]	def htmlDocContentDumpFormatOutput(self, cur, encoding, format): """Dump an HTML document. """ if cur is None: cur__o = None else: cur__o = cur._o libxml2mod.htmlDocContentDumpFormatOutput(self._o, cur__o, encoding, format)	[ "def", "htmlDocContentDumpFormatOutput", "(", "self", ",", "cur", ",", "encoding", ",", "format", ")", ":", "if", "cur", "is", "None", ":", "cur__o", "=", "None", "else", ":", "cur__o", "=", "cur", ".", "_o", "libxml2mod", ".", "htmlDocContentDumpFormatOutput", "(", "self", ".", "_o", ",", "cur__o", ",", "encoding", ",", "format", ")" ]	https://github.com/thalium/icebox/blob/99d147d5b9269222225443ce171b4fd46d8985d4/third_party/virtualbox/src/libs/libxml2-2.9.4/python/libxml2class.py#L5251-L5255
apple/turicreate	cce55aa5311300e3ce6af93cb45ba791fd1bdf49	src/external/coremltools_wrap/coremltools/coremltools/converters/onnx/_operators_nd.py	python	_convert_size	(builder, node, graph, err)		convert to CoreML GetShape and ReduceProd Layer: https://github.com/apple/coremltools/blob/655b3be5cc0d42c3c4fa49f0f0e4a93a26b3e492/mlmodel/format/NeuralNetwork.proto#L5131 https://github.com/apple/coremltools/blob/655b3be5cc0d42c3c4fa49f0f0e4a93a26b3e492/mlmodel/format/NeuralNetwork.proto#L4722	convert to CoreML GetShape and ReduceProd Layer: https://github.com/apple/coremltools/blob/655b3be5cc0d42c3c4fa49f0f0e4a93a26b3e492/mlmodel/format/NeuralNetwork.proto#L5131 https://github.com/apple/coremltools/blob/655b3be5cc0d42c3c4fa49f0f0e4a93a26b3e492/mlmodel/format/NeuralNetwork.proto#L4722	[ "convert", "to", "CoreML", "GetShape", "and", "ReduceProd", "Layer", ":", "https", ":", "//", "github", ".", "com", "/", "apple", "/", "coremltools", "/", "blob", "/", "655b3be5cc0d42c3c4fa49f0f0e4a93a26b3e492", "/", "mlmodel", "/", "format", "/", "NeuralNetwork", ".", "proto#L5131", "https", ":", "//", "github", ".", "com", "/", "apple", "/", "coremltools", "/", "blob", "/", "655b3be5cc0d42c3c4fa49f0f0e4a93a26b3e492", "/", "mlmodel", "/", "format", "/", "NeuralNetwork", ".", "proto#L4722" ]	def _convert_size(builder, node, graph, err): """ convert to CoreML GetShape and ReduceProd Layer: https://github.com/apple/coremltools/blob/655b3be5cc0d42c3c4fa49f0f0e4a93a26b3e492/mlmodel/format/NeuralNetwork.proto#L5131 https://github.com/apple/coremltools/blob/655b3be5cc0d42c3c4fa49f0f0e4a93a26b3e492/mlmodel/format/NeuralNetwork.proto#L4722 """ builder.add_get_shape( name=node.name, input_name=node.inputs[0], output_name=node.inputs[0] + "_getshape", ) builder.add_reduce_prod( name=node.name + "_reduce_prod", input_name=node.inputs[0] + "_getshape", output_name=node.outputs[0], )	[ "def", "_convert_size", "(", "builder", ",", "node", ",", "graph", ",", "err", ")", ":", "builder", ".", "add_get_shape", "(", "name", "=", "node", ".", "name", ",", "input_name", "=", "node", ".", "inputs", "[", "0", "]", ",", "output_name", "=", "node", ".", "inputs", "[", "0", "]", "+", "\"_getshape\"", ",", ")", "builder", ".", "add_reduce_prod", "(", "name", "=", "node", ".", "name", "+", "\"_reduce_prod\"", ",", "input_name", "=", "node", ".", "inputs", "[", "0", "]", "+", "\"_getshape\"", ",", "output_name", "=", "node", ".", "outputs", "[", "0", "]", ",", ")" ]	https://github.com/apple/turicreate/blob/cce55aa5311300e3ce6af93cb45ba791fd1bdf49/src/external/coremltools_wrap/coremltools/coremltools/converters/onnx/_operators_nd.py#L2214-L2229
BYVoid/OpenCC	f3bafc4d016acfba5d5aef0cf5c98fa3c0090e0c	deps/google-benchmark/mingw.py	python	repository	(urls = urls, log = EmptyLogger())	return versions	Downloads and parse mingw-build repository files and parses them	Downloads and parse mingw-build repository files and parses them	[ "Downloads", "and", "parse", "mingw", "-", "build", "repository", "files", "and", "parses", "them" ]	def repository(urls = urls, log = EmptyLogger()): ''' Downloads and parse mingw-build repository files and parses them ''' log.info('getting mingw-builds repository') versions = {} re_sourceforge = re.compile(r'http://sourceforge.net/projects/([^/]+)/files') re_sub = r'http://downloads.sourceforge.net/project/\1' for url in urls: log.debug(' - requesting: %s', url) socket = request.urlopen(url) repo = socket.read() if not isinstance(repo, str): repo = repo.decode(); socket.close() for entry in repo.split('\n')[:-1]: value = entry.split('\|') version = tuple([int(n) for n in value[0].strip().split('.')]) version = versions.setdefault(version, {}) arch = value[1].strip() if arch == 'x32': arch = 'i686' elif arch == 'x64': arch = 'x86_64' arch = version.setdefault(arch, {}) threading = arch.setdefault(value[2].strip(), {}) exceptions = threading.setdefault(value[3].strip(), {}) revision = exceptions.setdefault(int(value[4].strip()[3:]), re_sourceforge.sub(re_sub, value[5].strip())) return versions	[ "def", "repository", "(", "urls", "=", "urls", ",", "log", "=", "EmptyLogger", "(", ")", ")", ":", "log", ".", "info", "(", "'getting mingw-builds repository'", ")", "versions", "=", "{", "}", "re_sourceforge", "=", "re", ".", "compile", "(", "r'http://sourceforge.net/projects/([^/]+)/files'", ")", "re_sub", "=", "r'http://downloads.sourceforge.net/project/\\1'", "for", "url", "in", "urls", ":", "log", ".", "debug", "(", "' - requesting: %s'", ",", "url", ")", "socket", "=", "request", ".", "urlopen", "(", "url", ")", "repo", "=", "socket", ".", "read", "(", ")", "if", "not", "isinstance", "(", "repo", ",", "str", ")", ":", "repo", "=", "repo", ".", "decode", "(", ")", "socket", ".", "close", "(", ")", "for", "entry", "in", "repo", ".", "split", "(", "'\\n'", ")", "[", ":", "-", "1", "]", ":", "value", "=", "entry", ".", "split", "(", "'\|'", ")", "version", "=", "tuple", "(", "[", "int", "(", "n", ")", "for", "n", "in", "value", "[", "0", "]", ".", "strip", "(", ")", ".", "split", "(", "'.'", ")", "]", ")", "version", "=", "versions", ".", "setdefault", "(", "version", ",", "{", "}", ")", "arch", "=", "value", "[", "1", "]", ".", "strip", "(", ")", "if", "arch", "==", "'x32'", ":", "arch", "=", "'i686'", "elif", "arch", "==", "'x64'", ":", "arch", "=", "'x86_64'", "arch", "=", "version", ".", "setdefault", "(", "arch", ",", "{", "}", ")", "threading", "=", "arch", ".", "setdefault", "(", "value", "[", "2", "]", ".", "strip", "(", ")", ",", "{", "}", ")", "exceptions", "=", "threading", ".", "setdefault", "(", "value", "[", "3", "]", ".", "strip", "(", ")", ",", "{", "}", ")", "revision", "=", "exceptions", ".", "setdefault", "(", "int", "(", "value", "[", "4", "]", ".", "strip", "(", ")", "[", "3", ":", "]", ")", ",", "re_sourceforge", ".", "sub", "(", "re_sub", ",", "value", "[", "5", "]", ".", "strip", "(", ")", ")", ")", "return", "versions" ]	https://github.com/BYVoid/OpenCC/blob/f3bafc4d016acfba5d5aef0cf5c98fa3c0090e0c/deps/google-benchmark/mingw.py#L55-L84
baidu-research/tensorflow-allreduce	66d5b855e90b0949e9fa5cca5599fd729a70e874	tensorflow/python/ops/metrics_impl.py	python	_streaming_sparse_false_positive_at_k	(labels, predictions_idx, k=None, class_id=None, weights=None, name=None)		Calculates weighted per step false positives for precision@k. If `class_id` is specified, calculate binary true positives for `class_id` only. If `class_id` is not specified, calculate metrics for `k` predicted vs `n` label classes, where `n` is the 2nd dimension of `labels`. If `weights` is `None`, weights default to 1. Use weights of 0 to mask values. Args: labels: `int64` `Tensor` or `SparseTensor` with shape [D1, ... DN, num_labels], where N >= 1 and num_labels is the number of target classes for the associated prediction. Commonly, N=1 and `labels` has shape [batch_size, num_labels]. [D1, ... DN] must match `predictions_idx`. predictions_idx: 1-D or higher `int64` `Tensor` with last dimension `k`, top `k` predicted classes. For rank `n`, the first `n-1` dimensions must match `labels`. k: Integer, k for @k metric. This is only used for default op name. class_id: Class for which we want binary metrics. weights: `Tensor` whose rank is either 0, or n-1, where n is the rank of `labels`. If the latter, it must be broadcastable to `labels` (i.e., all dimensions must be either `1`, or the same as the corresponding `labels` dimension). name: Name of new variable, and namespace for other dependent ops. Returns: A tuple of `Variable` and update `Operation`. Raises: ValueError: If `weights` is not `None` and has an incompatible shape.	Calculates weighted per step false positives for precision@k.	[ "Calculates", "weighted", "per", "step", "false", "positives", "for", "precision@k", "." ]	def _streaming_sparse_false_positive_at_k(labels, predictions_idx, k=None, class_id=None, weights=None, name=None): """Calculates weighted per step false positives for precision@k. If `class_id` is specified, calculate binary true positives for `class_id` only. If `class_id` is not specified, calculate metrics for `k` predicted vs `n` label classes, where `n` is the 2nd dimension of `labels`. If `weights` is `None`, weights default to 1. Use weights of 0 to mask values. Args: labels: `int64` `Tensor` or `SparseTensor` with shape [D1, ... DN, num_labels], where N >= 1 and num_labels is the number of target classes for the associated prediction. Commonly, N=1 and `labels` has shape [batch_size, num_labels]. [D1, ... DN] must match `predictions_idx`. predictions_idx: 1-D or higher `int64` `Tensor` with last dimension `k`, top `k` predicted classes. For rank `n`, the first `n-1` dimensions must match `labels`. k: Integer, k for @k metric. This is only used for default op name. class_id: Class for which we want binary metrics. weights: `Tensor` whose rank is either 0, or n-1, where n is the rank of `labels`. If the latter, it must be broadcastable to `labels` (i.e., all dimensions must be either `1`, or the same as the corresponding `labels` dimension). name: Name of new variable, and namespace for other dependent ops. Returns: A tuple of `Variable` and update `Operation`. Raises: ValueError: If `weights` is not `None` and has an incompatible shape. """ with ops.name_scope( name, _at_k_name('false_positive', k, class_id=class_id), (predictions_idx, labels, weights)) as scope: fp = _sparse_false_positive_at_k( predictions_idx=predictions_idx, labels=labels, class_id=class_id, weights=weights) batch_total_fp = math_ops.to_double(math_ops.reduce_sum(fp)) var = _local_variable(array_ops.zeros([], dtype=dtypes.float64), name=scope) return var, state_ops.assign_add(var, batch_total_fp, name='update')	[ "def", "_streaming_sparse_false_positive_at_k", "(", "labels", ",", "predictions_idx", ",", "k", "=", "None", ",", "class_id", "=", "None", ",", "weights", "=", "None", ",", "name", "=", "None", ")", ":", "with", "ops", ".", "name_scope", "(", "name", ",", "_at_k_name", "(", "'false_positive'", ",", "k", ",", "class_id", "=", "class_id", ")", ",", "(", "predictions_idx", ",", "labels", ",", "weights", ")", ")", "as", "scope", ":", "fp", "=", "_sparse_false_positive_at_k", "(", "predictions_idx", "=", "predictions_idx", ",", "labels", "=", "labels", ",", "class_id", "=", "class_id", ",", "weights", "=", "weights", ")", "batch_total_fp", "=", "math_ops", ".", "to_double", "(", "math_ops", ".", "reduce_sum", "(", "fp", ")", ")", "var", "=", "_local_variable", "(", "array_ops", ".", "zeros", "(", "[", "]", ",", "dtype", "=", "dtypes", ".", "float64", ")", ",", "name", "=", "scope", ")", "return", "var", ",", "state_ops", ".", "assign_add", "(", "var", ",", "batch_total_fp", ",", "name", "=", "'update'", ")" ]	https://github.com/baidu-research/tensorflow-allreduce/blob/66d5b855e90b0949e9fa5cca5599fd729a70e874/tensorflow/python/ops/metrics_impl.py#L2621-L2668
rusty1s/pytorch_cluster	576e0bbfa13cbe9c2fdc49de2cde5e2bf28f1e01	torch_cluster/radius.py	python	radius_graph	(x: torch.Tensor, r: float, batch: Optional[torch.Tensor] = None, loop: bool = False, max_num_neighbors: int = 32, flow: str = 'source_to_target', num_workers: int = 1)	return torch.stack([row, col], dim=0)	r"""Computes graph edges to all points within a given distance. Args: x (Tensor): Node feature matrix :math:`\mathbf{X} \in \mathbb{R}^{N \times F}`. r (float): The radius. batch (LongTensor, optional): Batch vector :math:`\mathbf{b} \in {\{ 0, \ldots, B-1\}}^N`, which assigns each node to a specific example. :obj:`batch` needs to be sorted. (default: :obj:`None`) loop (bool, optional): If :obj:`True`, the graph will contain self-loops. (default: :obj:`False`) max_num_neighbors (int, optional): The maximum number of neighbors to return for each element. If the number of actual neighbors is greater than :obj:`max_num_neighbors`, returned neighbors are picked randomly. (default: :obj:`32`) flow (string, optional): The flow direction when used in combination with message passing (:obj:`"source_to_target"` or :obj:`"target_to_source"`). (default: :obj:`"source_to_target"`) num_workers (int): Number of workers to use for computation. Has no effect in case :obj:`batch` is not :obj:`None`, or the input lies on the GPU. (default: :obj:`1`) :rtype: :class:`LongTensor` .. code-block:: python import torch from torch_cluster import radius_graph x = torch.Tensor([[-1, -1], [-1, 1], [1, -1], [1, 1]]) batch = torch.tensor([0, 0, 0, 0]) edge_index = radius_graph(x, r=1.5, batch=batch, loop=False)	r"""Computes graph edges to all points within a given distance.	[ "r", "Computes", "graph", "edges", "to", "all", "points", "within", "a", "given", "distance", "." ]	def radius_graph(x: torch.Tensor, r: float, batch: Optional[torch.Tensor] = None, loop: bool = False, max_num_neighbors: int = 32, flow: str = 'source_to_target', num_workers: int = 1) -> torch.Tensor: r"""Computes graph edges to all points within a given distance. Args: x (Tensor): Node feature matrix :math:`\mathbf{X} \in \mathbb{R}^{N \times F}`. r (float): The radius. batch (LongTensor, optional): Batch vector :math:`\mathbf{b} \in {\{ 0, \ldots, B-1\}}^N`, which assigns each node to a specific example. :obj:`batch` needs to be sorted. (default: :obj:`None`) loop (bool, optional): If :obj:`True`, the graph will contain self-loops. (default: :obj:`False`) max_num_neighbors (int, optional): The maximum number of neighbors to return for each element. If the number of actual neighbors is greater than :obj:`max_num_neighbors`, returned neighbors are picked randomly. (default: :obj:`32`) flow (string, optional): The flow direction when used in combination with message passing (:obj:`"source_to_target"` or :obj:`"target_to_source"`). (default: :obj:`"source_to_target"`) num_workers (int): Number of workers to use for computation. Has no effect in case :obj:`batch` is not :obj:`None`, or the input lies on the GPU. (default: :obj:`1`) :rtype: :class:`LongTensor` .. code-block:: python import torch from torch_cluster import radius_graph x = torch.Tensor([[-1, -1], [-1, 1], [1, -1], [1, 1]]) batch = torch.tensor([0, 0, 0, 0]) edge_index = radius_graph(x, r=1.5, batch=batch, loop=False) """ assert flow in ['source_to_target', 'target_to_source'] edge_index = radius(x, x, r, batch, batch, max_num_neighbors if loop else max_num_neighbors + 1, num_workers) if flow == 'source_to_target': row, col = edge_index[1], edge_index[0] else: row, col = edge_index[0], edge_index[1] if not loop: mask = row != col row, col = row[mask], col[mask] return torch.stack([row, col], dim=0)	[ "def", "radius_graph", "(", "x", ":", "torch", ".", "Tensor", ",", "r", ":", "float", ",", "batch", ":", "Optional", "[", "torch", ".", "Tensor", "]", "=", "None", ",", "loop", ":", "bool", "=", "False", ",", "max_num_neighbors", ":", "int", "=", "32", ",", "flow", ":", "str", "=", "'source_to_target'", ",", "num_workers", ":", "int", "=", "1", ")", "->", "torch", ".", "Tensor", ":", "assert", "flow", "in", "[", "'source_to_target'", ",", "'target_to_source'", "]", "edge_index", "=", "radius", "(", "x", ",", "x", ",", "r", ",", "batch", ",", "batch", ",", "max_num_neighbors", "if", "loop", "else", "max_num_neighbors", "+", "1", ",", "num_workers", ")", "if", "flow", "==", "'source_to_target'", ":", "row", ",", "col", "=", "edge_index", "[", "1", "]", ",", "edge_index", "[", "0", "]", "else", ":", "row", ",", "col", "=", "edge_index", "[", "0", "]", ",", "edge_index", "[", "1", "]", "if", "not", "loop", ":", "mask", "=", "row", "!=", "col", "row", ",", "col", "=", "row", "[", "mask", "]", ",", "col", "[", "mask", "]", "return", "torch", ".", "stack", "(", "[", "row", ",", "col", "]", ",", "dim", "=", "0", ")" ]	https://github.com/rusty1s/pytorch_cluster/blob/576e0bbfa13cbe9c2fdc49de2cde5e2bf28f1e01/torch_cluster/radius.py#L75-L128
synfig/synfig	a5ec91db5b751dc12e4400ccfb5c063fd6d2d928	synfig-studio/plugins/lottie-exporter/common/misc.py	python	get_vector	(waypoint)	return Vector(x, y)	Given a waypoint, it parses the string vector into Vector class defined in this converter Args: waypoint (lxml.etree._Element) : Synfig format waypoint Returns: (common.Vector.Vector) : x and y axis values stores in Vector format	Given a waypoint, it parses the string vector into Vector class defined in this converter	[ "Given", "a", "waypoint", "it", "parses", "the", "string", "vector", "into", "Vector", "class", "defined", "in", "this", "converter" ]	def get_vector(waypoint): """ Given a waypoint, it parses the string vector into Vector class defined in this converter Args: waypoint (lxml.etree._Element) : Synfig format waypoint Returns: (common.Vector.Vector) : x and y axis values stores in Vector format """ # converting radius and angle to a vector if waypoint.tag == "radial_composite": for child in waypoint: if child.tag == "radius": radius = float(child[0].attrib["value"]) radius *= settings.PIX_PER_UNIT elif child.tag == "theta": angle = float(child[0].attrib["value"]) x, y = radial_to_tangent(radius, angle) else: x = float(waypoint[0][0].text) y = float(waypoint[0][1].text) return Vector(x, y)	[ "def", "get_vector", "(", "waypoint", ")", ":", "# converting radius and angle to a vector", "if", "waypoint", ".", "tag", "==", "\"radial_composite\"", ":", "for", "child", "in", "waypoint", ":", "if", "child", ".", "tag", "==", "\"radius\"", ":", "radius", "=", "float", "(", "child", "[", "0", "]", ".", "attrib", "[", "\"value\"", "]", ")", "radius", "*=", "settings", ".", "PIX_PER_UNIT", "elif", "child", ".", "tag", "==", "\"theta\"", ":", "angle", "=", "float", "(", "child", "[", "0", "]", ".", "attrib", "[", "\"value\"", "]", ")", "x", ",", "y", "=", "radial_to_tangent", "(", "radius", ",", "angle", ")", "else", ":", "x", "=", "float", "(", "waypoint", "[", "0", "]", "[", "0", "]", ".", "text", ")", "y", "=", "float", "(", "waypoint", "[", "0", "]", "[", "1", "]", ".", "text", ")", "return", "Vector", "(", "x", ",", "y", ")" ]	https://github.com/synfig/synfig/blob/a5ec91db5b751dc12e4400ccfb5c063fd6d2d928/synfig-studio/plugins/lottie-exporter/common/misc.py#L363-L386
wxWidgets/wxPython-Classic	19571e1ae65f1ac445f5491474121998c97a1bf0	src/osx_cocoa/stc.py	python	StyledTextCtrl.WordLeftExtend	(args, *kwargs)	return _stc.StyledTextCtrl_WordLeftExtend(args, *kwargs)	WordLeftExtend(self) Move caret left one word extending selection to new caret position.	WordLeftExtend(self)	[ "WordLeftExtend", "(", "self", ")" ]	def WordLeftExtend(args, kwargs): """ WordLeftExtend(self) Move caret left one word extending selection to new caret position. """ return _stc.StyledTextCtrl_WordLeftExtend(args, **kwargs)	[ "def", "WordLeftExtend", "(", "", "args", ",", "", "", "kwargs", ")", ":", "return", "_stc", ".", "StyledTextCtrl_WordLeftExtend", "(", "", "args", ",", "", "", "kwargs", ")" ]	https://github.com/wxWidgets/wxPython-Classic/blob/19571e1ae65f1ac445f5491474121998c97a1bf0/src/osx_cocoa/stc.py#L4400-L4406
wxWidgets/wxPython-Classic	19571e1ae65f1ac445f5491474121998c97a1bf0	src/gtk/_core.py	python	DropFilesEvent.GetPosition	(args, *kwargs)	return _core_.DropFilesEvent_GetPosition(args, *kwargs)	GetPosition(self) -> Point Returns the position at which the files were dropped.	GetPosition(self) -> Point	[ "GetPosition", "(", "self", ")", "-", ">", "Point" ]	def GetPosition(args, kwargs): """ GetPosition(self) -> Point Returns the position at which the files were dropped. """ return _core_.DropFilesEvent_GetPosition(args, **kwargs)	[ "def", "GetPosition", "(", "", "args", ",", "", "", "kwargs", ")", ":", "return", "_core_", ".", "DropFilesEvent_GetPosition", "(", "", "args", ",", "", "", "kwargs", ")" ]	https://github.com/wxWidgets/wxPython-Classic/blob/19571e1ae65f1ac445f5491474121998c97a1bf0/src/gtk/_core.py#L6654-L6660
gnina/gnina	b9ae032f52fc7a8153987bde09c0efa3620d8bb6	caffe/examples/pycaffe/layers/pascal_multilabel_datalayers.py	python	PascalMultilabelDataLayerSync.reshape	(self, bottom, top)		There is no need to reshape the data, since the input is of fixed size (rows and columns)	There is no need to reshape the data, since the input is of fixed size (rows and columns)	[ "There", "is", "no", "need", "to", "reshape", "the", "data", "since", "the", "input", "is", "of", "fixed", "size", "(", "rows", "and", "columns", ")" ]	def reshape(self, bottom, top): """ There is no need to reshape the data, since the input is of fixed size (rows and columns) """ pass	[ "def", "reshape", "(", "self", ",", "bottom", ",", "top", ")", ":", "pass" ]	https://github.com/gnina/gnina/blob/b9ae032f52fc7a8153987bde09c0efa3620d8bb6/caffe/examples/pycaffe/layers/pascal_multilabel_datalayers.py#L67-L72
idaholab/moose	9eeebc65e098b4c30f8205fb41591fd5b61eb6ff	python/MooseDocs/common/log.py	python	MultiprocessingHandler.aquire	(self)		Disable.	Disable.	[ "Disable", "." ]	def aquire(self): """Disable.""" pass	[ "def", "aquire", "(", "self", ")", ":", "pass" ]	https://github.com/idaholab/moose/blob/9eeebc65e098b4c30f8205fb41591fd5b61eb6ff/python/MooseDocs/common/log.py#L66-L68
Polidea/SiriusObfuscator	b0e590d8130e97856afe578869b83a209e2b19be	SymbolExtractorAndRenamer/lldb/scripts/Python/static-binding/lldb.py	python	SBTypeCategory.AddLanguage	(self, *args)	return _lldb.SBTypeCategory_AddLanguage(self, *args)	AddLanguage(self, LanguageType language)	AddLanguage(self, LanguageType language)	[ "AddLanguage", "(", "self", "LanguageType", "language", ")" ]	def AddLanguage(self, args): """AddLanguage(self, LanguageType language)""" return _lldb.SBTypeCategory_AddLanguage(self, args)	[ "def", "AddLanguage", "(", "self", ",", "", "args", ")", ":", "return", "_lldb", ".", "SBTypeCategory_AddLanguage", "(", "self", ",", "", "args", ")" ]	https://github.com/Polidea/SiriusObfuscator/blob/b0e590d8130e97856afe578869b83a209e2b19be/SymbolExtractorAndRenamer/lldb/scripts/Python/static-binding/lldb.py#L10760-L10762
aws/lumberyard	f85344403c1c2e77ec8c75deb2c116e97b713217	dev/Tools/Python/3.7.10/windows/Lib/site-packages/pkg_resources/_vendor/packaging/version.py	python	_parse_local_version	(local)		Takes a string like abc.1.twelve and turns it into ("abc", 1, "twelve").	Takes a string like abc.1.twelve and turns it into ("abc", 1, "twelve").	[ "Takes", "a", "string", "like", "abc", ".", "1", ".", "twelve", "and", "turns", "it", "into", "(", "abc", "1", "twelve", ")", "." ]	def _parse_local_version(local): """ Takes a string like abc.1.twelve and turns it into ("abc", 1, "twelve"). """ if local is not None: return tuple( part.lower() if not part.isdigit() else int(part) for part in _local_version_seperators.split(local) )	[ "def", "_parse_local_version", "(", "local", ")", ":", "if", "local", "is", "not", "None", ":", "return", "tuple", "(", "part", ".", "lower", "(", ")", "if", "not", "part", ".", "isdigit", "(", ")", "else", "int", "(", "part", ")", "for", "part", "in", "_local_version_seperators", ".", "split", "(", "local", ")", ")" ]	https://github.com/aws/lumberyard/blob/f85344403c1c2e77ec8c75deb2c116e97b713217/dev/Tools/Python/3.7.10/windows/Lib/site-packages/pkg_resources/_vendor/packaging/version.py#L332-L340
PX4/PX4-Autopilot	0b9f60a0370be53d683352c63fd92db3d6586e18	Tools/mavlink_px4.py	python	MAVLink.scaled_pressure_send	(self, time_boot_ms, press_abs, press_diff, temperature)	return self.send(self.scaled_pressure_encode(time_boot_ms, press_abs, press_diff, temperature))	The pressure readings for the typical setup of one absolute and differential pressure sensor. The units are as specified in each field. time_boot_ms : Timestamp (milliseconds since system boot) (uint32_t) press_abs : Absolute pressure (hectopascal) (float) press_diff : Differential pressure 1 (hectopascal) (float) temperature : Temperature measurement (0.01 degrees celsius) (int16_t)	The pressure readings for the typical setup of one absolute and differential pressure sensor. The units are as specified in each field.	[ "The", "pressure", "readings", "for", "the", "typical", "setup", "of", "one", "absolute", "and", "differential", "pressure", "sensor", ".", "The", "units", "are", "as", "specified", "in", "each", "field", "." ]	def scaled_pressure_send(self, time_boot_ms, press_abs, press_diff, temperature): ''' The pressure readings for the typical setup of one absolute and differential pressure sensor. The units are as specified in each field. time_boot_ms : Timestamp (milliseconds since system boot) (uint32_t) press_abs : Absolute pressure (hectopascal) (float) press_diff : Differential pressure 1 (hectopascal) (float) temperature : Temperature measurement (0.01 degrees celsius) (int16_t) ''' return self.send(self.scaled_pressure_encode(time_boot_ms, press_abs, press_diff, temperature))	[ "def", "scaled_pressure_send", "(", "self", ",", "time_boot_ms", ",", "press_abs", ",", "press_diff", ",", "temperature", ")", ":", "return", "self", ".", "send", "(", "self", ".", "scaled_pressure_encode", "(", "time_boot_ms", ",", "press_abs", ",", "press_diff", ",", "temperature", ")", ")" ]	https://github.com/PX4/PX4-Autopilot/blob/0b9f60a0370be53d683352c63fd92db3d6586e18/Tools/mavlink_px4.py#L3029-L3041
catboost/catboost	167f64f237114a4d10b2b4ee42adb4569137debe	contrib/python/pandas/py3/pandas/io/formats/printing.py	python	format_object_attrs	( obj: Sized, include_dtype: bool = True )	return attrs	Return a list of tuples of the (attr, formatted_value) for common attrs, including dtype, name, length Parameters ---------- obj : object Must be sized. include_dtype : bool If False, dtype won't be in the returned list Returns ------- list of 2-tuple	Return a list of tuples of the (attr, formatted_value) for common attrs, including dtype, name, length	[ "Return", "a", "list", "of", "tuples", "of", "the", "(", "attr", "formatted_value", ")", "for", "common", "attrs", "including", "dtype", "name", "length" ]	def format_object_attrs( obj: Sized, include_dtype: bool = True ) -> list[tuple[str, str \| int]]: """ Return a list of tuples of the (attr, formatted_value) for common attrs, including dtype, name, length Parameters ---------- obj : object Must be sized. include_dtype : bool If False, dtype won't be in the returned list Returns ------- list of 2-tuple """ attrs: list[tuple[str, str \| int]] = [] if hasattr(obj, "dtype") and include_dtype: # error: "Sized" has no attribute "dtype" attrs.append(("dtype", f"'{obj.dtype}'")) # type: ignore[attr-defined] if getattr(obj, "name", None) is not None: # error: "Sized" has no attribute "name" attrs.append(("name", default_pprint(obj.name))) # type: ignore[attr-defined] # error: "Sized" has no attribute "names" elif getattr(obj, "names", None) is not None and any( obj.names # type: ignore[attr-defined] ): # error: "Sized" has no attribute "names" attrs.append(("names", default_pprint(obj.names))) # type: ignore[attr-defined] max_seq_items = get_option("display.max_seq_items") or len(obj) if len(obj) > max_seq_items: attrs.append(("length", len(obj))) return attrs	[ "def", "format_object_attrs", "(", "obj", ":", "Sized", ",", "include_dtype", ":", "bool", "=", "True", ")", "->", "list", "[", "tuple", "[", "str", ",", "str", "\|", "int", "]", "]", ":", "attrs", ":", "list", "[", "tuple", "[", "str", ",", "str", "\|", "int", "]", "]", "=", "[", "]", "if", "hasattr", "(", "obj", ",", "\"dtype\"", ")", "and", "include_dtype", ":", "# error: \"Sized\" has no attribute \"dtype\"", "attrs", ".", "append", "(", "(", "\"dtype\"", ",", "f\"'{obj.dtype}'\"", ")", ")", "# type: ignore[attr-defined]", "if", "getattr", "(", "obj", ",", "\"name\"", ",", "None", ")", "is", "not", "None", ":", "# error: \"Sized\" has no attribute \"name\"", "attrs", ".", "append", "(", "(", "\"name\"", ",", "default_pprint", "(", "obj", ".", "name", ")", ")", ")", "# type: ignore[attr-defined]", "# error: \"Sized\" has no attribute \"names\"", "elif", "getattr", "(", "obj", ",", "\"names\"", ",", "None", ")", "is", "not", "None", "and", "any", "(", "obj", ".", "names", "# type: ignore[attr-defined]", ")", ":", "# error: \"Sized\" has no attribute \"names\"", "attrs", ".", "append", "(", "(", "\"names\"", ",", "default_pprint", "(", "obj", ".", "names", ")", ")", ")", "# type: ignore[attr-defined]", "max_seq_items", "=", "get_option", "(", "\"display.max_seq_items\"", ")", "or", "len", "(", "obj", ")", "if", "len", "(", "obj", ")", ">", "max_seq_items", ":", "attrs", ".", "append", "(", "(", "\"length\"", ",", "len", "(", "obj", ")", ")", ")", "return", "attrs" ]	https://github.com/catboost/catboost/blob/167f64f237114a4d10b2b4ee42adb4569137debe/contrib/python/pandas/py3/pandas/io/formats/printing.py#L508-L543
eldar/deepcut-cnn	928bf2f224fce132f6e4404b4c95fb017297a5e0	scripts/cpp_lint.py	python	GetPreviousNonBlankLine	(clean_lines, linenum)	return ('', -1)	Return the most recent non-blank line and its line number. Args: clean_lines: A CleansedLines instance containing the file contents. linenum: The number of the line to check. Returns: A tuple with two elements. The first element is the contents of the last non-blank line before the current line, or the empty string if this is the first non-blank line. The second is the line number of that line, or -1 if this is the first non-blank line.	Return the most recent non-blank line and its line number.	[ "Return", "the", "most", "recent", "non", "-", "blank", "line", "and", "its", "line", "number", "." ]	def GetPreviousNonBlankLine(clean_lines, linenum): """Return the most recent non-blank line and its line number. Args: clean_lines: A CleansedLines instance containing the file contents. linenum: The number of the line to check. Returns: A tuple with two elements. The first element is the contents of the last non-blank line before the current line, or the empty string if this is the first non-blank line. The second is the line number of that line, or -1 if this is the first non-blank line. """ prevlinenum = linenum - 1 while prevlinenum >= 0: prevline = clean_lines.elided[prevlinenum] if not IsBlankLine(prevline): # if not a blank line... return (prevline, prevlinenum) prevlinenum -= 1 return ('', -1)	[ "def", "GetPreviousNonBlankLine", "(", "clean_lines", ",", "linenum", ")", ":", "prevlinenum", "=", "linenum", "-", "1", "while", "prevlinenum", ">=", "0", ":", "prevline", "=", "clean_lines", ".", "elided", "[", "prevlinenum", "]", "if", "not", "IsBlankLine", "(", "prevline", ")", ":", "# if not a blank line...", "return", "(", "prevline", ",", "prevlinenum", ")", "prevlinenum", "-=", "1", "return", "(", "''", ",", "-", "1", ")" ]	https://github.com/eldar/deepcut-cnn/blob/928bf2f224fce132f6e4404b4c95fb017297a5e0/scripts/cpp_lint.py#L3046-L3066
catboost/catboost	167f64f237114a4d10b2b4ee42adb4569137debe	contrib/python/pandas/py3/pandas/core/computation/expressions.py	python	_can_use_numexpr	(op, op_str, a, b, dtype_check)	return False	return a boolean if we WILL be using numexpr	return a boolean if we WILL be using numexpr	[ "return", "a", "boolean", "if", "we", "WILL", "be", "using", "numexpr" ]	def _can_use_numexpr(op, op_str, a, b, dtype_check): """return a boolean if we WILL be using numexpr""" if op_str is not None: # required min elements (otherwise we are adding overhead) if a.size > _MIN_ELEMENTS: # check for dtype compatibility dtypes: set[str] = set() for o in [a, b]: # ndarray and Series Case if hasattr(o, "dtype"): dtypes \|= {o.dtype.name} # allowed are a superset if not len(dtypes) or _ALLOWED_DTYPES[dtype_check] >= dtypes: return True return False	[ "def", "_can_use_numexpr", "(", "op", ",", "op_str", ",", "a", ",", "b", ",", "dtype_check", ")", ":", "if", "op_str", "is", "not", "None", ":", "# required min elements (otherwise we are adding overhead)", "if", "a", ".", "size", ">", "_MIN_ELEMENTS", ":", "# check for dtype compatibility", "dtypes", ":", "set", "[", "str", "]", "=", "set", "(", ")", "for", "o", "in", "[", "a", ",", "b", "]", ":", "# ndarray and Series Case", "if", "hasattr", "(", "o", ",", "\"dtype\"", ")", ":", "dtypes", "\|=", "{", "o", ".", "dtype", ".", "name", "}", "# allowed are a superset", "if", "not", "len", "(", "dtypes", ")", "or", "_ALLOWED_DTYPES", "[", "dtype_check", "]", ">=", "dtypes", ":", "return", "True", "return", "False" ]	https://github.com/catboost/catboost/blob/167f64f237114a4d10b2b4ee42adb4569137debe/contrib/python/pandas/py3/pandas/core/computation/expressions.py#L72-L89
deepmodeling/deepmd-kit	159e45d248b0429844fb6a8cb3b3a201987c8d79	deepmd/descriptor/descriptor.py	python	Descriptor.get_dim_rot_mat_1	(self)		Returns the first dimension of the rotation matrix. The rotation is of shape dim_1 x 3 Returns ------- int the first dimension of the rotation matrix	Returns the first dimension of the rotation matrix. The rotation is of shape dim_1 x 3	[ "Returns", "the", "first", "dimension", "of", "the", "rotation", "matrix", ".", "The", "rotation", "is", "of", "shape", "dim_1", "x", "3" ]	def get_dim_rot_mat_1(self) -> int: """ Returns the first dimension of the rotation matrix. The rotation is of shape dim_1 x 3 Returns ------- int the first dimension of the rotation matrix """ # TODO: I think this method should be implemented as it's called by dipole and # polar fitting network. However, currently not all descriptors have this # method. raise NotImplementedError	[ "def", "get_dim_rot_mat_1", "(", "self", ")", "->", "int", ":", "# TODO: I think this method should be implemented as it's called by dipole and", "# polar fitting network. However, currently not all descriptors have this", "# method.", "raise", "NotImplementedError" ]	https://github.com/deepmodeling/deepmd-kit/blob/159e45d248b0429844fb6a8cb3b3a201987c8d79/deepmd/descriptor/descriptor.py#L109-L122
weolar/miniblink49	1c4678db0594a4abde23d3ebbcc7cd13c3170777	third_party/WebKit/Tools/Scripts/webkitpy/thirdparty/mod_pywebsocket/dispatch.py	python	Dispatcher.transfer_data	(self, request)		Let a handler transfer_data with a WebSocket client. Select a handler based on request.ws_resource and call its web_socket_transfer_data function. Args: request: mod_python request. Raises: DispatchException: when handler was not found AbortedByUserException: when user handler abort connection	Let a handler transfer_data with a WebSocket client.	[ "Let", "a", "handler", "transfer_data", "with", "a", "WebSocket", "client", "." ]	def transfer_data(self, request): """Let a handler transfer_data with a WebSocket client. Select a handler based on request.ws_resource and call its web_socket_transfer_data function. Args: request: mod_python request. Raises: DispatchException: when handler was not found AbortedByUserException: when user handler abort connection """ # TODO(tyoshino): Terminate underlying TCP connection if possible. try: if mux.use_mux(request): mux.start(request, self) else: handler_suite = self.get_handler_suite(request.ws_resource) if handler_suite is None: raise DispatchException('No handler for: %r' % request.ws_resource) transfer_data_ = handler_suite.transfer_data transfer_data_(request) if not request.server_terminated: request.ws_stream.close_connection() # Catch non-critical exceptions the handler didn't handle. except handshake.AbortedByUserException, e: self._logger.debug('%s', util.get_stack_trace()) raise except msgutil.BadOperationException, e: self._logger.debug('%s', e) request.ws_stream.close_connection( common.STATUS_INTERNAL_ENDPOINT_ERROR) except msgutil.InvalidFrameException, e: # InvalidFrameException must be caught before # ConnectionTerminatedException that catches InvalidFrameException. self._logger.debug('%s', e) request.ws_stream.close_connection(common.STATUS_PROTOCOL_ERROR) except msgutil.UnsupportedFrameException, e: self._logger.debug('%s', e) request.ws_stream.close_connection(common.STATUS_UNSUPPORTED_DATA) except stream.InvalidUTF8Exception, e: self._logger.debug('%s', e) request.ws_stream.close_connection( common.STATUS_INVALID_FRAME_PAYLOAD_DATA) except msgutil.ConnectionTerminatedException, e: self._logger.debug('%s', e) except Exception, e: # Any other exceptions are forwarded to the caller of this # function. util.prepend_message_to_exception( '%s raised exception for %s: ' % ( _TRANSFER_DATA_HANDLER_NAME, request.ws_resource), e) raise	[ "def", "transfer_data", "(", "self", ",", "request", ")", ":", "# TODO(tyoshino): Terminate underlying TCP connection if possible.", "try", ":", "if", "mux", ".", "use_mux", "(", "request", ")", ":", "mux", ".", "start", "(", "request", ",", "self", ")", "else", ":", "handler_suite", "=", "self", ".", "get_handler_suite", "(", "request", ".", "ws_resource", ")", "if", "handler_suite", "is", "None", ":", "raise", "DispatchException", "(", "'No handler for: %r'", "%", "request", ".", "ws_resource", ")", "transfer_data_", "=", "handler_suite", ".", "transfer_data", "transfer_data_", "(", "request", ")", "if", "not", "request", ".", "server_terminated", ":", "request", ".", "ws_stream", ".", "close_connection", "(", ")", "# Catch non-critical exceptions the handler didn't handle.", "except", "handshake", ".", "AbortedByUserException", ",", "e", ":", "self", ".", "_logger", ".", "debug", "(", "'%s'", ",", "util", ".", "get_stack_trace", "(", ")", ")", "raise", "except", "msgutil", ".", "BadOperationException", ",", "e", ":", "self", ".", "_logger", ".", "debug", "(", "'%s'", ",", "e", ")", "request", ".", "ws_stream", ".", "close_connection", "(", "common", ".", "STATUS_INTERNAL_ENDPOINT_ERROR", ")", "except", "msgutil", ".", "InvalidFrameException", ",", "e", ":", "# InvalidFrameException must be caught before", "# ConnectionTerminatedException that catches InvalidFrameException.", "self", ".", "_logger", ".", "debug", "(", "'%s'", ",", "e", ")", "request", ".", "ws_stream", ".", "close_connection", "(", "common", ".", "STATUS_PROTOCOL_ERROR", ")", "except", "msgutil", ".", "UnsupportedFrameException", ",", "e", ":", "self", ".", "_logger", ".", "debug", "(", "'%s'", ",", "e", ")", "request", ".", "ws_stream", ".", "close_connection", "(", "common", ".", "STATUS_UNSUPPORTED_DATA", ")", "except", "stream", ".", "InvalidUTF8Exception", ",", "e", ":", "self", ".", "_logger", ".", "debug", "(", "'%s'", ",", "e", ")", "request", ".", "ws_stream", ".", "close_connection", "(", "common", ".", "STATUS_INVALID_FRAME_PAYLOAD_DATA", ")", "except", "msgutil", ".", "ConnectionTerminatedException", ",", "e", ":", "self", ".", "_logger", ".", "debug", "(", "'%s'", ",", "e", ")", "except", "Exception", ",", "e", ":", "# Any other exceptions are forwarded to the caller of this", "# function.", "util", ".", "prepend_message_to_exception", "(", "'%s raised exception for %s: '", "%", "(", "_TRANSFER_DATA_HANDLER_NAME", ",", "request", ".", "ws_resource", ")", ",", "e", ")", "raise" ]	https://github.com/weolar/miniblink49/blob/1c4678db0594a4abde23d3ebbcc7cd13c3170777/third_party/WebKit/Tools/Scripts/webkitpy/thirdparty/mod_pywebsocket/dispatch.py#L270-L327
rrwick/Porechop	109e437280436d1ec27e5a5b7a34ffb752176390	ez_setup.py	python	has_powershell	()	return True	Determine if Powershell is available.	Determine if Powershell is available.	[ "Determine", "if", "Powershell", "is", "available", "." ]	def has_powershell(): """Determine if Powershell is available.""" if platform.system() != 'Windows': return False cmd = ['powershell', '-Command', 'echo test'] with open(os.path.devnull, 'wb') as devnull: try: subprocess.check_call(cmd, stdout=devnull, stderr=devnull) except Exception: return False return True	[ "def", "has_powershell", "(", ")", ":", "if", "platform", ".", "system", "(", ")", "!=", "'Windows'", ":", "return", "False", "cmd", "=", "[", "'powershell'", ",", "'-Command'", ",", "'echo test'", "]", "with", "open", "(", "os", ".", "path", ".", "devnull", ",", "'wb'", ")", "as", "devnull", ":", "try", ":", "subprocess", ".", "check_call", "(", "cmd", ",", "stdout", "=", "devnull", ",", "stderr", "=", "devnull", ")", "except", "Exception", ":", "return", "False", "return", "True" ]	https://github.com/rrwick/Porechop/blob/109e437280436d1ec27e5a5b7a34ffb752176390/ez_setup.py#L259-L269
baidu/bigflow	449245016c0df7d1252e85581e588bfc60cefad3	bigflow_python/python/bigflow/transforms.py	python	transform	(pcollection, first_arg, other_args, *options)	return bigflow.transform_impls.transform.transform(pcollection, first_arg, other_args, *options)	对给定PCollection进行任意的变换，结果为另一个PCollection transform有两种形式，形式一：基本原型为`transform(pcollection, initializer, transformer, finalizer, side_inputs, options)` transform将PCollection的处理分为3个阶段: 初始化，遍历及结束，分别对应于 initializer, transformer和finalizer三个处理函数。三个函数之间有一个状态 status(也可以理解为上下文context)，同时有一个emitter参数可以向输出PCollection发送数据假定输入数据类型为I，输出数据类型为O，initializer, transformer, finalizer各自的期望签名为: initializer(emitter, side_inputs) => status(object) transformer(status, emitter, I, side_inputs) => status(object) (transformer的第一个参数允许被修改) finalizer(status, emitter, side_inputs) => None (finalizer的第一个参数允许被修改) emitter.emit(O) Args: pcollection (PCollection): 输入PCollection initializer (callable): 初始化函数 transformer (callable): 变换函数 finalizer (callable): 结束函数 side_inputs: 参与计算的SideInputs options: 可配置选项 Returns: PCollection: 表示返回结果的PCollection >>> from bigflow import transforms >>> import copy >>> def initializer(emitter): >>> return [] >>> >>> def transformer(status, emitter, inp): >>> status.append(copy.deepcopy(inp)) #如果要缓存一个数据，最好复制一份。 >>> return status >>> >>> def finalizer(status, emitter): >>> emitter.emit(status) >>> >>> _p = _pipeline.parallelize([1, 2, 3]) >>> _plist = transforms.transform(_p, initializer, transformer, finalizer) >>> print _plist.count().get() # 只有一个元素，元素的内容是[1, 2, 3]这样一个列表。 1 >>> print _plist.get() [[1, 2, 3]] 形式二：基本原型为`transform(pcollection, transformer, side_inputs, *options)` 其中transformer应为 :class:`bigflow.base.Transformer <bigflow.base.Transformer>` 类的子类， Transformer.begin_process在数据开始处理前会被调用。 Transformer.process在数据开始处理时，每条数据调用一次，传入需要的数据。 Transformer.end_process在数据处理完成后被调用。用户需要输出的数据以列表或其它可迭代对象的形式返回，其中所有元素都会被作为输出PCollection中的一个元素。（注意，如果不需要输出请返回一个空的[]，而不要返回None） >>> class SumTransformer(base.Transformer): ... ... def begin_process(self): ... self._sum = 0 ... return [] ... ... def process(self, record): ... self._sum += record ... return [] ... ... def end_process(self): ... yield self._sum ... >>> p1 = _pipeline.parallelize([1, 2, 3]) >>> transforms.transform(p1, SumTransformer).get() 6 >>> class PartialSumTransformer(base.Transformer): ... ... def begin_process(self): ... self._sum = 0 ... return [] ... ... def process(self, record): ... self._sum += record ... yield self._sum ... >>> transforms.transform(p1, PartialSumTransformer()),get() [1, 3, 6] >>> class ZipTransformer(base.Transformer): ... ... def begin_process(self, si): ... self.index = 0 ... lens = map(len, si) ... self.min_len = min(lens) ... return [] ... ... def process(self, inp, *si): ... if self.index < self.min_len: ... yield (inp, ) + tuple(map(lambda x: x[self.index], si)) ... self.index += 1 ... >>> p2 = _pipeline.parallelize([4, 5]).sort() >>> transforms.transform(p1, ZipTransformer(), p2).get() [(1, 4), (2, 5)] 本方法为Bigflow所提供的最底层和最复杂的变换方法，它可以表达对PCollection 的任意变换。在有其它函数(如aggregate)能完成同样功能时，尽量不要使用该函数，框架无法了解该函数内部实现，无法进行许多深层次的优化工作。		[]	def transform(pcollection, first_arg, other_args, options): """ 对给定PCollection进行任意的变换，结果为另一个PCollection transform有两种形式，形式一：基本原型为`transform(pcollection, initializer, transformer, finalizer, side_inputs, *options)` transform将PCollection的处理分为3个阶段: 初始化，遍历及结束，分别对应于 initializer, transformer和finalizer三个处理函数。三个函数之间有一个状态 status(也可以理解为上下文context)，同时有一个emitter参数可以向输出PCollection发送数据假定输入数据类型为I，输出数据类型为O，initializer, transformer, finalizer各自的期望签名为: initializer(emitter, side_inputs) => status(object) transformer(status, emitter, I, side_inputs) => status(object) (transformer的第一个参数允许被修改) finalizer(status, emitter, side_inputs) => None (finalizer的第一个参数允许被修改) emitter.emit(O) Args: pcollection (PCollection): 输入PCollection initializer (callable): 初始化函数 transformer (callable): 变换函数 finalizer (callable): 结束函数 side_inputs: 参与计算的SideInputs options: 可配置选项 Returns: PCollection: 表示返回结果的PCollection >>> from bigflow import transforms >>> import copy >>> def initializer(emitter): >>> return [] >>> >>> def transformer(status, emitter, inp): >>> status.append(copy.deepcopy(inp)) #如果要缓存一个数据，最好复制一份。 >>> return status >>> >>> def finalizer(status, emitter): >>> emitter.emit(status) >>> >>> _p = _pipeline.parallelize([1, 2, 3]) >>> _plist = transforms.transform(_p, initializer, transformer, finalizer) >>> print _plist.count().get() # 只有一个元素，元素的内容是[1, 2, 3]这样一个列表。 1 >>> print _plist.get() [[1, 2, 3]] 形式二：基本原型为`transform(pcollection, transformer, side_inputs, *options)` 其中transformer应为 :class:`bigflow.base.Transformer <bigflow.base.Transformer>` 类的子类， Transformer.begin_process在数据开始处理前会被调用。 Transformer.process在数据开始处理时，每条数据调用一次，传入需要的数据。 Transformer.end_process在数据处理完成后被调用。用户需要输出的数据以列表或其它可迭代对象的形式返回，其中所有元素都会被作为输出PCollection中的一个元素。（注意，如果不需要输出请返回一个空的[]，而不要返回None） >>> class SumTransformer(base.Transformer): ... ... def begin_process(self): ... self._sum = 0 ... return [] ... ... def process(self, record): ... self._sum += record ... return [] ... ... def end_process(self): ... yield self._sum ... >>> p1 = _pipeline.parallelize([1, 2, 3]) >>> transforms.transform(p1, SumTransformer).get() 6 >>> class PartialSumTransformer(base.Transformer): ... ... def begin_process(self): ... self._sum = 0 ... return [] ... ... def process(self, record): ... self._sum += record ... yield self._sum ... >>> transforms.transform(p1, PartialSumTransformer()),get() [1, 3, 6] >>> class ZipTransformer(base.Transformer): ... ... def begin_process(self, si): ... self.index = 0 ... lens = map(len, si) ... self.min_len = min(lens) ... return [] ... ... def process(self, inp, si): ... if self.index < self.min_len: ... yield (inp, ) + tuple(map(lambda x: x[self.index], si)) ... self.index += 1 ... >>> p2 = _pipeline.parallelize([4, 5]).sort() >>> transforms.transform(p1, ZipTransformer(), p2).get() [(1, 4), (2, 5)] 本方法为Bigflow所提供的最底层和最复杂的变换方法，它可以表达对PCollection 的任意变换。在有其它函数(如aggregate)能完成同样功能时，尽量不要使用该函数，框架无法了解该函数内部实现，无法进行许多深层次的优化工作。 """ import bigflow.transform_impls.transform return bigflow.transform_impls.transform.transform(pcollection, first_arg, other_args, **options)	[ "def", "transform", "(", "pcollection", ",", "first_arg", ",", "", "other_args", ",", "", "", "options", ")", ":", "import", "bigflow", ".", "transform_impls", ".", "transform", "return", "bigflow", ".", "transform_impls", ".", "transform", ".", "transform", "(", "pcollection", ",", "first_arg", ",", "", "other_args", ",", "", "", "options", ")" ]	https://github.com/baidu/bigflow/blob/449245016c0df7d1252e85581e588bfc60cefad3/bigflow_python/python/bigflow/transforms.py#L986-L1109
apache/arrow	af33dd1157eb8d7d9bfac25ebf61445b793b7943	python/benchmarks/common.py	python	BuiltinsGenerator._generate_varying_sequences	(self, random_factory, n, min_size, max_size, none_prob)	return data	Generate a list of n sequences of varying size between min_size and max_size, with none_prob probability of an entry being None. The base material for each sequence is obtained by calling `random_factory(<some size>)`	Generate a list of n sequences of varying size between min_size and max_size, with none_prob probability of an entry being None. The base material for each sequence is obtained by calling `random_factory(<some size>)`	[ "Generate", "a", "list", "of", "", "n", "", "sequences", "of", "varying", "size", "between", "", "min_size", "", "and", "", "max_size", "", "with", "", "none_prob", "", "probability", "of", "an", "entry", "being", "None", ".", "The", "base", "material", "for", "each", "sequence", "is", "obtained", "by", "calling", "random_factory", "(", "<some", "size", ">", ")" ]	def _generate_varying_sequences(self, random_factory, n, min_size, max_size, none_prob): """ Generate a list of n sequences of varying size between min_size and max_size, with none_prob probability of an entry being None. The base material for each sequence is obtained by calling `random_factory(<some size>)` """ base_size = 10000 base = random_factory(base_size + max_size) data = [] for i in range(n): off = self.rnd.randint(base_size) if min_size == max_size: size = min_size else: size = self.rnd.randint(min_size, max_size + 1) data.append(base[off:off + size]) self.sprinkle_nones(data, none_prob) assert len(data) == n return data	[ "def", "_generate_varying_sequences", "(", "self", ",", "random_factory", ",", "n", ",", "min_size", ",", "max_size", ",", "none_prob", ")", ":", "base_size", "=", "10000", "base", "=", "random_factory", "(", "base_size", "+", "max_size", ")", "data", "=", "[", "]", "for", "i", "in", "range", "(", "n", ")", ":", "off", "=", "self", ".", "rnd", ".", "randint", "(", "base_size", ")", "if", "min_size", "==", "max_size", ":", "size", "=", "min_size", "else", ":", "size", "=", "self", ".", "rnd", ".", "randint", "(", "min_size", ",", "max_size", "+", "1", ")", "data", ".", "append", "(", "base", "[", "off", ":", "off", "+", "size", "]", ")", "self", ".", "sprinkle_nones", "(", "data", ",", "none_prob", ")", "assert", "len", "(", "data", ")", "==", "n", "return", "data" ]	https://github.com/apache/arrow/blob/af33dd1157eb8d7d9bfac25ebf61445b793b7943/python/benchmarks/common.py#L181-L201
wxWidgets/wxPython-Classic	19571e1ae65f1ac445f5491474121998c97a1bf0	src/gtk/_windows.py	python	Dialog.SetReturnCode	(args, *kwargs)	return _windows_.Dialog_SetReturnCode(args, *kwargs)	SetReturnCode(self, int returnCode)	SetReturnCode(self, int returnCode)	[ "SetReturnCode", "(", "self", "int", "returnCode", ")" ]	def SetReturnCode(args, kwargs): """SetReturnCode(self, int returnCode)""" return _windows_.Dialog_SetReturnCode(args, **kwargs)	[ "def", "SetReturnCode", "(", "", "args", ",", "", "", "kwargs", ")", ":", "return", "_windows_", ".", "Dialog_SetReturnCode", "(", "", "args", ",", "", "", "kwargs", ")" ]	https://github.com/wxWidgets/wxPython-Classic/blob/19571e1ae65f1ac445f5491474121998c97a1bf0/src/gtk/_windows.py#L745-L747
windystrife/UnrealEngine_NVIDIAGameWorks	b50e6338a7c5b26374d66306ebc7807541ff815e	Engine/Source/ThirdParty/CEF3/cef_source/tools/file_util.py	python	read_version_file	(file, args)		Read and parse a version file (key=value pairs, one per line).	Read and parse a version file (key=value pairs, one per line).	[ "Read", "and", "parse", "a", "version", "file", "(", "key", "=", "value", "pairs", "one", "per", "line", ")", "." ]	def read_version_file(file, args): """ Read and parse a version file (key=value pairs, one per line). """ lines = read_file(file).split("\n") for line in lines: parts = line.split('=', 1) if len(parts) == 2: args[parts[0]] = parts[1]	[ "def", "read_version_file", "(", "file", ",", "args", ")", ":", "lines", "=", "read_file", "(", "file", ")", ".", "split", "(", "\"\\n\"", ")", "for", "line", "in", "lines", ":", "parts", "=", "line", ".", "split", "(", "'='", ",", "1", ")", "if", "len", "(", "parts", ")", "==", "2", ":", "args", "[", "parts", "[", "0", "]", "]", "=", "parts", "[", "1", "]" ]	https://github.com/windystrife/UnrealEngine_NVIDIAGameWorks/blob/b50e6338a7c5b26374d66306ebc7807541ff815e/Engine/Source/ThirdParty/CEF3/cef_source/tools/file_util.py#L125-L131
nest/nest-simulator	f2623eb78518cdbd55e77e0ed486bf1111bcb62f	pynest/nest/lib/hl_api_helper.py	python	__is_executable	(path, candidate)	return os.access(candidate, os.X_OK) and os.path.isfile(candidate)	Returns true for executable files.	Returns true for executable files.	[ "Returns", "true", "for", "executable", "files", "." ]	def __is_executable(path, candidate): """Returns true for executable files.""" candidate = os.path.join(path, candidate) return os.access(candidate, os.X_OK) and os.path.isfile(candidate)	[ "def", "__is_executable", "(", "path", ",", "candidate", ")", ":", "candidate", "=", "os", ".", "path", ".", "join", "(", "path", ",", "candidate", ")", "return", "os", ".", "access", "(", "candidate", ",", "os", ".", "X_OK", ")", "and", "os", ".", "path", ".", "isfile", "(", "candidate", ")" ]	https://github.com/nest/nest-simulator/blob/f2623eb78518cdbd55e77e0ed486bf1111bcb62f/pynest/nest/lib/hl_api_helper.py#L442-L446
netket/netket	0d534e54ecbf25b677ea72af6b85947979420652	netket/vqs/mc/mc_mixed_state/state.py	python	MCMixedState.__init__	( self, sampler, model=None, , sampler_diag: Sampler = None, n_samples_diag: int = None, n_samples_per_rank_diag: Optional[int] = None, n_discard_per_chain_diag: Optional[int] = None, n_discard_diag: Optional[int] = None, # deprecated seed=None, sampler_seed: Optional[int] = None, variables=None, *kwargs, )		Constructs the MCMixedState. Arguments are the same as :class:`MCState`. Arguments: sampler: The sampler model: (Optional) The model. If not provided, you must provide init_fun and apply_fun. n_samples: the total number of samples across chains and processes when sampling (default=1000). n_samples_per_rank: the total number of samples across chains on one process when sampling. Cannot be specified together with n_samples (default=None). n_discard_per_chain: number of discarded samples at the beginning of each monte-carlo chain (default=n_samples/10). n_samples_diag: the total number of samples across chains and processes when sampling the diagonal of the density matrix (default=1000). n_samples_per_rank_diag: the total number of samples across chains on one process when sampling the diagonal. Cannot be specified together with `n_samples_diag` (default=None). n_discard_per_chain_diag: number of discarded samples at the beginning of each monte-carlo chain used when sampling the diagonal of the density matrix for observables (default=n_samples_diag/10). parameters: Optional PyTree of weights from which to start. seed: rng seed used to generate a set of parameters (only if parameters is not passed). Defaults to a random one. sampler_seed: rng seed used to initialise the sampler. Defaults to a random one. mutable: Dict specifing mutable arguments. Use it to specify if the model has a state that can change during evaluation, but that should not be optimised. See also flax.linen.module.apply documentation (default=False) init_fun: Function of the signature f(model, shape, rng_key, dtype) -> Optional_state, parameters used to initialise the parameters. Defaults to the standard flax initialiser. Only specify if your network has a non-standard init method. apply_fun: Function of the signature f(model, variables, σ) that should evaluate the model. Defafults to `model.apply(variables, σ)`. specify only if your network has a non-standard apply method. training_kwargs: a dict containing the optionaal keyword arguments to be passed to the apply_fun during training. Useful for example when you have a batchnorm layer that constructs the average/mean only during training.	Constructs the MCMixedState. Arguments are the same as :class:`MCState`.	[ "Constructs", "the", "MCMixedState", ".", "Arguments", "are", "the", "same", "as", ":", "class", ":", "MCState", "." ]	def __init__( self, sampler, model=None, , sampler_diag: Sampler = None, n_samples_diag: int = None, n_samples_per_rank_diag: Optional[int] = None, n_discard_per_chain_diag: Optional[int] = None, n_discard_diag: Optional[int] = None, # deprecated seed=None, sampler_seed: Optional[int] = None, variables=None, kwargs, ): """ Constructs the MCMixedState. Arguments are the same as :class:`MCState`. Arguments: sampler: The sampler model: (Optional) The model. If not provided, you must provide init_fun and apply_fun. n_samples: the total number of samples across chains and processes when sampling (default=1000). n_samples_per_rank: the total number of samples across chains on one process when sampling. Cannot be specified together with n_samples (default=None). n_discard_per_chain: number of discarded samples at the beginning of each monte-carlo chain (default=n_samples/10). n_samples_diag: the total number of samples across chains and processes when sampling the diagonal of the density matrix (default=1000). n_samples_per_rank_diag: the total number of samples across chains on one process when sampling the diagonal. Cannot be specified together with `n_samples_diag` (default=None). n_discard_per_chain_diag: number of discarded samples at the beginning of each monte-carlo chain used when sampling the diagonal of the density matrix for observables (default=n_samples_diag/10). parameters: Optional PyTree of weights from which to start. seed: rng seed used to generate a set of parameters (only if parameters is not passed). Defaults to a random one. sampler_seed: rng seed used to initialise the sampler. Defaults to a random one. mutable: Dict specifing mutable arguments. Use it to specify if the model has a state that can change during evaluation, but that should not be optimised. See also flax.linen.module.apply documentation (default=False) init_fun: Function of the signature f(model, shape, rng_key, dtype) -> Optional_state, parameters used to initialise the parameters. Defaults to the standard flax initialiser. Only specify if your network has a non-standard init method. apply_fun: Function of the signature f(model, variables, σ) that should evaluate the model. Defafults to `model.apply(variables, σ)`. specify only if your network has a non-standard apply method. training_kwargs: a dict containing the optionaal keyword arguments to be passed to the apply_fun during training. Useful for example when you have a batchnorm layer that constructs the average/mean only during training. """ seed, seed_diag = jax.random.split(nkjax.PRNGKey(seed)) if sampler_seed is None: sampler_seed_diag = None else: sampler_seed, sampler_seed_diag = jax.random.split( nkjax.PRNGKey(sampler_seed) ) self._diagonal = None hilbert_physical = sampler.hilbert.physical super().__init__( sampler.hilbert.physical, sampler, model, kwargs, seed=seed, sampler_seed=sampler_seed, variables=variables, ) if sampler_diag is None: sampler_diag = sampler.replace(hilbert=hilbert_physical) sampler_diag = sampler_diag.replace(machine_pow=1) diagonal_apply_fun = nkjax.HashablePartial(apply_diagonal, self._apply_fun) for kw in [ "n_samples", "n_discard", "n_discard_per_chain", ]: # TODO remove n_discard after deprecation. if kw in kwargs: kwargs.pop(kw) # TODO: remove deprecation. if n_discard_diag is not None and n_discard_per_chain_diag is not None: raise ValueError( "`n_discard_diag` has been renamed to `n_discard_per_chain_diag` and deprecated." "Specify only `n_discard_per_chain_diag`." ) elif n_discard_diag is not None: warn_deprecation( "`n_discard_diag` has been renamed to `n_discard_per_chain_diag` and deprecated." "Please update your code to `n_discard_per_chain_diag`." ) n_discard_per_chain_diag = n_discard_diag self._diagonal = MCState( sampler_diag, apply_fun=diagonal_apply_fun, n_samples=n_samples_diag, n_samples_per_rank=n_samples_per_rank_diag, n_discard_per_chain=n_discard_per_chain_diag, variables=self.variables, seed=seed_diag, sampler_seed=sampler_seed_diag, *kwargs, )	[ "def", "__init__", "(", "self", ",", "sampler", ",", "model", "=", "None", ",", "", ",", "sampler_diag", ":", "Sampler", "=", "None", ",", "n_samples_diag", ":", "int", "=", "None", ",", "n_samples_per_rank_diag", ":", "Optional", "[", "int", "]", "=", "None", ",", "n_discard_per_chain_diag", ":", "Optional", "[", "int", "]", "=", "None", ",", "n_discard_diag", ":", "Optional", "[", "int", "]", "=", "None", ",", "# deprecated", "seed", "=", "None", ",", "sampler_seed", ":", "Optional", "[", "int", "]", "=", "None", ",", "variables", "=", "None", ",", "", "", "kwargs", ",", ")", ":", "seed", ",", "seed_diag", "=", "jax", ".", "random", ".", "split", "(", "nkjax", ".", "PRNGKey", "(", "seed", ")", ")", "if", "sampler_seed", "is", "None", ":", "sampler_seed_diag", "=", "None", "else", ":", "sampler_seed", ",", "sampler_seed_diag", "=", "jax", ".", "random", ".", "split", "(", "nkjax", ".", "PRNGKey", "(", "sampler_seed", ")", ")", "self", ".", "_diagonal", "=", "None", "hilbert_physical", "=", "sampler", ".", "hilbert", ".", "physical", "super", "(", ")", ".", "__init__", "(", "sampler", ".", "hilbert", ".", "physical", ",", "sampler", ",", "model", ",", "", "", "kwargs", ",", "seed", "=", "seed", ",", "sampler_seed", "=", "sampler_seed", ",", "variables", "=", "variables", ",", ")", "if", "sampler_diag", "is", "None", ":", "sampler_diag", "=", "sampler", ".", "replace", "(", "hilbert", "=", "hilbert_physical", ")", "sampler_diag", "=", "sampler_diag", ".", "replace", "(", "machine_pow", "=", "1", ")", "diagonal_apply_fun", "=", "nkjax", ".", "HashablePartial", "(", "apply_diagonal", ",", "self", ".", "_apply_fun", ")", "for", "kw", "in", "[", "\"n_samples\"", ",", "\"n_discard\"", ",", "\"n_discard_per_chain\"", ",", "]", ":", "# TODO remove n_discard after deprecation.", "if", "kw", "in", "kwargs", ":", "kwargs", ".", "pop", "(", "kw", ")", "# TODO: remove deprecation.", "if", "n_discard_diag", "is", "not", "None", "and", "n_discard_per_chain_diag", "is", "not", "None", ":", "raise", "ValueError", "(", "\"`n_discard_diag` has been renamed to `n_discard_per_chain_diag` and deprecated.\"", "\"Specify only `n_discard_per_chain_diag`.\"", ")", "elif", "n_discard_diag", "is", "not", "None", ":", "warn_deprecation", "(", "\"`n_discard_diag` has been renamed to `n_discard_per_chain_diag` and deprecated.\"", "\"Please update your code to `n_discard_per_chain_diag`.\"", ")", "n_discard_per_chain_diag", "=", "n_discard_diag", "self", ".", "_diagonal", "=", "MCState", "(", "sampler_diag", ",", "apply_fun", "=", "diagonal_apply_fun", ",", "n_samples", "=", "n_samples_diag", ",", "n_samples_per_rank", "=", "n_samples_per_rank_diag", ",", "n_discard_per_chain", "=", "n_discard_per_chain_diag", ",", "variables", "=", "self", ".", "variables", ",", "seed", "=", "seed_diag", ",", "sampler_seed", "=", "sampler_seed_diag", ",", "", "*", "kwargs", ",", ")" ]	https://github.com/netket/netket/blob/0d534e54ecbf25b677ea72af6b85947979420652/netket/vqs/mc/mc_mixed_state/state.py#L47-L155
KDE/krita	10ea63984e00366865769c193ab298de73a59c5c	plugins/python/scripter/ui_scripter/editor/debugarea.py	python	DebugArea.paintEvent	(self, event)		It Invokes the draw method(debugAreaPaintEvent) in CodeEditor	It Invokes the draw method(debugAreaPaintEvent) in CodeEditor	[ "It", "Invokes", "the", "draw", "method", "(", "debugAreaPaintEvent", ")", "in", "CodeEditor" ]	def paintEvent(self, event): """It Invokes the draw method(debugAreaPaintEvent) in CodeEditor""" self.codeEditor.debugAreaPaintEvent(event)	[ "def", "paintEvent", "(", "self", ",", "event", ")", ":", "self", ".", "codeEditor", ".", "debugAreaPaintEvent", "(", "event", ")" ]	https://github.com/KDE/krita/blob/10ea63984e00366865769c193ab298de73a59c5c/plugins/python/scripter/ui_scripter/editor/debugarea.py#L19-L21
BitMEX/api-connectors	37a3a5b806ad5d0e0fc975ab86d9ed43c3bcd812	auto-generated/python/swagger_client/models/user_event.py	python	UserEvent.status	(self, status)		Sets the status of this UserEvent. :param status: The status of this UserEvent. # noqa: E501 :type: str	Sets the status of this UserEvent.	[ "Sets", "the", "status", "of", "this", "UserEvent", "." ]	def status(self, status): """Sets the status of this UserEvent. :param status: The status of this UserEvent. # noqa: E501 :type: str """ if status is None: raise ValueError("Invalid value for `status`, must not be `None`") # noqa: E501 allowed_values = ["success", "failure"] # noqa: E501 if status not in allowed_values: raise ValueError( "Invalid value for `status` ({0}), must be one of {1}" # noqa: E501 .format(status, allowed_values) ) self._status = status	[ "def", "status", "(", "self", ",", "status", ")", ":", "if", "status", "is", "None", ":", "raise", "ValueError", "(", "\"Invalid value for `status`, must not be `None`\"", ")", "# noqa: E501", "allowed_values", "=", "[", "\"success\"", ",", "\"failure\"", "]", "# noqa: E501", "if", "status", "not", "in", "allowed_values", ":", "raise", "ValueError", "(", "\"Invalid value for `status` ({0}), must be one of {1}\"", "# noqa: E501", ".", "format", "(", "status", ",", "allowed_values", ")", ")", "self", ".", "_status", "=", "status" ]	https://github.com/BitMEX/api-connectors/blob/37a3a5b806ad5d0e0fc975ab86d9ed43c3bcd812/auto-generated/python/swagger_client/models/user_event.py#L156-L172
aws/lumberyard	f85344403c1c2e77ec8c75deb2c116e97b713217	dev/Tools/Python/3.7.10/mac/Python.framework/Versions/3.7/lib/python3.7/logging/handlers.py	python	NTEventLogHandler.emit	(self, record)		Emit a record. Determine the message ID, event category and event type. Then log the message in the NT event log.	Emit a record.	[ "Emit", "a", "record", "." ]	def emit(self, record): """ Emit a record. Determine the message ID, event category and event type. Then log the message in the NT event log. """ if self._welu: try: id = self.getMessageID(record) cat = self.getEventCategory(record) type = self.getEventType(record) msg = self.format(record) self._welu.ReportEvent(self.appname, id, cat, type, [msg]) except Exception: self.handleError(record)	[ "def", "emit", "(", "self", ",", "record", ")", ":", "if", "self", ".", "_welu", ":", "try", ":", "id", "=", "self", ".", "getMessageID", "(", "record", ")", "cat", "=", "self", ".", "getEventCategory", "(", "record", ")", "type", "=", "self", ".", "getEventType", "(", "record", ")", "msg", "=", "self", ".", "format", "(", "record", ")", "self", ".", "_welu", ".", "ReportEvent", "(", "self", ".", "appname", ",", "id", ",", "cat", ",", "type", ",", "[", "msg", "]", ")", "except", "Exception", ":", "self", ".", "handleError", "(", "record", ")" ]	https://github.com/aws/lumberyard/blob/f85344403c1c2e77ec8c75deb2c116e97b713217/dev/Tools/Python/3.7.10/mac/Python.framework/Versions/3.7/lib/python3.7/logging/handlers.py#L1094-L1109
wxWidgets/wxPython-Classic	19571e1ae65f1ac445f5491474121998c97a1bf0	wx/lib/agw/aui/auibar.py	python	AuiToolBar.AddCheckTool	(self, tool_id, label, bitmap, disabled_bitmap, short_help_string="", long_help_string="", client_data=None)	return self.AddTool(tool_id, label, bitmap, disabled_bitmap, ITEM_CHECK, short_help_string, long_help_string, client_data)	Adds a new check (or toggle) tool to the :class:`AuiToolBar`. :see: :meth:`AddTool` for an explanation of the input parameters.	Adds a new check (or toggle) tool to the :class:`AuiToolBar`. :see: :meth:`AddTool` for an explanation of the input parameters.	[ "Adds", "a", "new", "check", "(", "or", "toggle", ")", "tool", "to", "the", ":", "class", ":", "AuiToolBar", ".", ":", "see", ":", ":", "meth", ":", "AddTool", "for", "an", "explanation", "of", "the", "input", "parameters", "." ]	def AddCheckTool(self, tool_id, label, bitmap, disabled_bitmap, short_help_string="", long_help_string="", client_data=None): """ Adds a new check (or toggle) tool to the :class:`AuiToolBar`. :see: :meth:`AddTool` for an explanation of the input parameters. """ return self.AddTool(tool_id, label, bitmap, disabled_bitmap, ITEM_CHECK, short_help_string, long_help_string, client_data)	[ "def", "AddCheckTool", "(", "self", ",", "tool_id", ",", "label", ",", "bitmap", ",", "disabled_bitmap", ",", "short_help_string", "=", "\"\"", ",", "long_help_string", "=", "\"\"", ",", "client_data", "=", "None", ")", ":", "return", "self", ".", "AddTool", "(", "tool_id", ",", "label", ",", "bitmap", ",", "disabled_bitmap", ",", "ITEM_CHECK", ",", "short_help_string", ",", "long_help_string", ",", "client_data", ")" ]	https://github.com/wxWidgets/wxPython-Classic/blob/19571e1ae65f1ac445f5491474121998c97a1bf0/wx/lib/agw/aui/auibar.py#L1832-L1839
aws/lumberyard	f85344403c1c2e77ec8c75deb2c116e97b713217	dev/Gems/CloudGemFramework/v1/AWS/resource-manager-code/lib/swagger_spec_validator/validator20.py	python	validate_definitions	(definitions, deref)		Validates the semantic errors in #/definitions. :param definitions: dict of all the definitions :param deref: callable that dereferences $refs :raises: :py:class:`swagger_spec_validator.SwaggerValidationError` :raises: :py:class:`jsonschema.exceptions.ValidationError`	Validates the semantic errors in #/definitions.	[ "Validates", "the", "semantic", "errors", "in", "#", "/", "definitions", "." ]	def validate_definitions(definitions, deref): """Validates the semantic errors in #/definitions. :param definitions: dict of all the definitions :param deref: callable that dereferences $refs :raises: :py:class:`swagger_spec_validator.SwaggerValidationError` :raises: :py:class:`jsonschema.exceptions.ValidationError` """ visited_definitions_ids = set() for def_name, definition in iteritems(definitions): validate_definition( definition=definition, deref=deref, def_name='#/definitions/{}'.format(def_name), visited_definitions_ids=visited_definitions_ids, )	[ "def", "validate_definitions", "(", "definitions", ",", "deref", ")", ":", "visited_definitions_ids", "=", "set", "(", ")", "for", "def_name", ",", "definition", "in", "iteritems", "(", "definitions", ")", ":", "validate_definition", "(", "definition", "=", "definition", ",", "deref", "=", "deref", ",", "def_name", "=", "'#/definitions/{}'", ".", "format", "(", "def_name", ")", ",", "visited_definitions_ids", "=", "visited_definitions_ids", ",", ")" ]	https://github.com/aws/lumberyard/blob/f85344403c1c2e77ec8c75deb2c116e97b713217/dev/Gems/CloudGemFramework/v1/AWS/resource-manager-code/lib/swagger_spec_validator/validator20.py#L515-L531
aws/lumberyard	f85344403c1c2e77ec8c75deb2c116e97b713217	dev/Tools/build/waf-1.7.13/waflib/Scripting.py	python	Dist.get_tar_path	(self, node)	return node.abspath()	return the path to use for a node in the tar archive, the purpose of this is to let subclases resolve symbolic links or to change file names	return the path to use for a node in the tar archive, the purpose of this is to let subclases resolve symbolic links or to change file names	[ "return", "the", "path", "to", "use", "for", "a", "node", "in", "the", "tar", "archive", "the", "purpose", "of", "this", "is", "to", "let", "subclases", "resolve", "symbolic", "links", "or", "to", "change", "file", "names" ]	def get_tar_path(self, node): """ return the path to use for a node in the tar archive, the purpose of this is to let subclases resolve symbolic links or to change file names """ return node.abspath()	[ "def", "get_tar_path", "(", "self", ",", "node", ")", ":", "return", "node", ".", "abspath", "(", ")" ]	https://github.com/aws/lumberyard/blob/f85344403c1c2e77ec8c75deb2c116e97b713217/dev/Tools/build/waf-1.7.13/waflib/Scripting.py#L483-L488
wlanjie/AndroidFFmpeg	7baf9122f4b8e1c74e7baf4be5c422c7a5ba5aaf	tools/fdk-aac-build/armeabi/toolchain/lib/python2.7/compiler/pyassem.py	python	PyFlowGraph.getConsts	(self)	return tuple(l)	Return a tuple for the const slot of the code object Must convert references to code (MAKE_FUNCTION) to code objects recursively.	Return a tuple for the const slot of the code object	[ "Return", "a", "tuple", "for", "the", "const", "slot", "of", "the", "code", "object" ]	def getConsts(self): """Return a tuple for the const slot of the code object Must convert references to code (MAKE_FUNCTION) to code objects recursively. """ l = [] for elt in self.consts: if isinstance(elt, PyFlowGraph): elt = elt.getCode() l.append(elt) return tuple(l)	[ "def", "getConsts", "(", "self", ")", ":", "l", "=", "[", "]", "for", "elt", "in", "self", ".", "consts", ":", "if", "isinstance", "(", "elt", ",", "PyFlowGraph", ")", ":", "elt", "=", "elt", ".", "getCode", "(", ")", "l", ".", "append", "(", "elt", ")", "return", "tuple", "(", "l", ")" ]	https://github.com/wlanjie/AndroidFFmpeg/blob/7baf9122f4b8e1c74e7baf4be5c422c7a5ba5aaf/tools/fdk-aac-build/armeabi/toolchain/lib/python2.7/compiler/pyassem.py#L546-L557
v8/v8	fee3bf095260bf657a3eea4d3d41f90c42c6c857	tools/grokdump.py	python	InspectionShell.do_list_modules	(self, arg)		List details for all loaded modules in the minidump. An argument can be passed to limit the output to only those modules that contain the argument as a substring (case insensitive match).	List details for all loaded modules in the minidump.	[ "List", "details", "for", "all", "loaded", "modules", "in", "the", "minidump", "." ]	def do_list_modules(self, arg): """ List details for all loaded modules in the minidump. An argument can be passed to limit the output to only those modules that contain the argument as a substring (case insensitive match). """ for module in self.reader.module_list.modules: if arg: name = GetModuleName(self.reader, module).lower() if name.find(arg.lower()) >= 0: PrintModuleDetails(self.reader, module) else: PrintModuleDetails(self.reader, module) print()	[ "def", "do_list_modules", "(", "self", ",", "arg", ")", ":", "for", "module", "in", "self", ".", "reader", ".", "module_list", ".", "modules", ":", "if", "arg", ":", "name", "=", "GetModuleName", "(", "self", ".", "reader", ",", "module", ")", ".", "lower", "(", ")", "if", "name", ".", "find", "(", "arg", ".", "lower", "(", ")", ")", ">=", "0", ":", "PrintModuleDetails", "(", "self", ".", "reader", ",", "module", ")", "else", ":", "PrintModuleDetails", "(", "self", ".", "reader", ",", "module", ")", "print", "(", ")" ]	https://github.com/v8/v8/blob/fee3bf095260bf657a3eea4d3d41f90c42c6c857/tools/grokdump.py#L3762-L3776
wxWidgets/wxPython-Classic	19571e1ae65f1ac445f5491474121998c97a1bf0	src/gtk/_core.py	python	TextEntryBase.AutoComplete	(args, *kwargs)	return _core_.TextEntryBase_AutoComplete(args, *kwargs)	AutoComplete(self, wxArrayString choices) -> bool	AutoComplete(self, wxArrayString choices) -> bool	[ "AutoComplete", "(", "self", "wxArrayString", "choices", ")", "-", ">", "bool" ]	def AutoComplete(args, kwargs): """AutoComplete(self, wxArrayString choices) -> bool""" return _core_.TextEntryBase_AutoComplete(args, **kwargs)	[ "def", "AutoComplete", "(", "", "args", ",", "", "", "kwargs", ")", ":", "return", "_core_", ".", "TextEntryBase_AutoComplete", "(", "", "args", ",", "", "", "kwargs", ")" ]	https://github.com/wxWidgets/wxPython-Classic/blob/19571e1ae65f1ac445f5491474121998c97a1bf0/src/gtk/_core.py#L13316-L13318
BlzFans/wke	b0fa21158312e40c5fbd84682d643022b6c34a93	cygwin/lib/python2.6/encodings/base64_codec.py	python	base64_encode	(input,errors='strict')	return (output, len(input))	Encodes the object input and returns a tuple (output object, length consumed). errors defines the error handling to apply. It defaults to 'strict' handling which is the only currently supported error handling for this codec.	Encodes the object input and returns a tuple (output object, length consumed).	[ "Encodes", "the", "object", "input", "and", "returns", "a", "tuple", "(", "output", "object", "length", "consumed", ")", "." ]	def base64_encode(input,errors='strict'): """ Encodes the object input and returns a tuple (output object, length consumed). errors defines the error handling to apply. It defaults to 'strict' handling which is the only currently supported error handling for this codec. """ assert errors == 'strict' output = base64.encodestring(input) return (output, len(input))	[ "def", "base64_encode", "(", "input", ",", "errors", "=", "'strict'", ")", ":", "assert", "errors", "==", "'strict'", "output", "=", "base64", ".", "encodestring", "(", "input", ")", "return", "(", "output", ",", "len", "(", "input", ")", ")" ]	https://github.com/BlzFans/wke/blob/b0fa21158312e40c5fbd84682d643022b6c34a93/cygwin/lib/python2.6/encodings/base64_codec.py#L13-L25
mickem/nscp	79f89fdbb6da63f91bc9dedb7aea202fe938f237	scripts/python/lib/google/protobuf/internal/containers.py	python	RepeatedScalarFieldContainer.extend	(self, elem_seq)		Extends by appending the given sequence. Similar to list.extend().	Extends by appending the given sequence. Similar to list.extend().	[ "Extends", "by", "appending", "the", "given", "sequence", ".", "Similar", "to", "list", ".", "extend", "()", "." ]	def extend(self, elem_seq): """Extends by appending the given sequence. Similar to list.extend().""" if not elem_seq: return new_values = [] for elem in elem_seq: self._type_checker.CheckValue(elem) new_values.append(elem) self._values.extend(new_values) self._message_listener.Modified()	[ "def", "extend", "(", "self", ",", "elem_seq", ")", ":", "if", "not", "elem_seq", ":", "return", "new_values", "=", "[", "]", "for", "elem", "in", "elem_seq", ":", "self", ".", "_type_checker", ".", "CheckValue", "(", "elem", ")", "new_values", ".", "append", "(", "elem", ")", "self", ".", "_values", ".", "extend", "(", "new_values", ")", "self", ".", "_message_listener", ".", "Modified", "(", ")" ]	https://github.com/mickem/nscp/blob/79f89fdbb6da63f91bc9dedb7aea202fe938f237/scripts/python/lib/google/protobuf/internal/containers.py#L118-L128
zju3dv/clean-pvnet	5870c509e3cc205e1bb28910a7b1a9a3c8add9a8	lib/utils/pysixd/transform.py	python	Arcball.drag	(self, point)		Update current cursor window coordinates.	Update current cursor window coordinates.	[ "Update", "current", "cursor", "window", "coordinates", "." ]	def drag(self, point): """Update current cursor window coordinates.""" vnow = arcball_map_to_sphere(point, self._center, self._radius) if self._axis is not None: vnow = arcball_constrain_to_axis(vnow, self._axis) self._qpre = self._qnow t = numpy.cross(self._vdown, vnow) if numpy.dot(t, t) < _EPS: self._qnow = self._qdown else: q = [numpy.dot(self._vdown, vnow), t[0], t[1], t[2]] self._qnow = quaternion_multiply(q, self._qdown)	[ "def", "drag", "(", "self", ",", "point", ")", ":", "vnow", "=", "arcball_map_to_sphere", "(", "point", ",", "self", ".", "_center", ",", "self", ".", "_radius", ")", "if", "self", ".", "_axis", "is", "not", "None", ":", "vnow", "=", "arcball_constrain_to_axis", "(", "vnow", ",", "self", ".", "_axis", ")", "self", ".", "_qpre", "=", "self", ".", "_qnow", "t", "=", "numpy", ".", "cross", "(", "self", ".", "_vdown", ",", "vnow", ")", "if", "numpy", ".", "dot", "(", "t", ",", "t", ")", "<", "_EPS", ":", "self", ".", "_qnow", "=", "self", ".", "_qdown", "else", ":", "q", "=", "[", "numpy", ".", "dot", "(", "self", ".", "_vdown", ",", "vnow", ")", ",", "t", "[", "0", "]", ",", "t", "[", "1", "]", ",", "t", "[", "2", "]", "]", "self", ".", "_qnow", "=", "quaternion_multiply", "(", "q", ",", "self", ".", "_qdown", ")" ]	https://github.com/zju3dv/clean-pvnet/blob/5870c509e3cc205e1bb28910a7b1a9a3c8add9a8/lib/utils/pysixd/transform.py#L1594-L1605
adobe/chromium	cfe5bf0b51b1f6b9fe239c2a3c2f2364da9967d7	gpu/command_buffer/build_gles2_cmd_buffer.py	python	CustomHandler.WriteImmediateServiceImplementation	(self, func, file)		Overrriden from TypeHandler.	Overrriden from TypeHandler.	[ "Overrriden", "from", "TypeHandler", "." ]	def WriteImmediateServiceImplementation(self, func, file): """Overrriden from TypeHandler.""" pass	[ "def", "WriteImmediateServiceImplementation", "(", "self", ",", "func", ",", "file", ")", ":", "pass" ]	https://github.com/adobe/chromium/blob/cfe5bf0b51b1f6b9fe239c2a3c2f2364da9967d7/gpu/command_buffer/build_gles2_cmd_buffer.py#L2337-L2339
okex/V3-Open-API-SDK	c5abb0db7e2287718e0055e17e57672ce0ec7fd9	okex-python-sdk-api/venv/Lib/site-packages/pip-19.0.3-py3.8.egg/pip/_vendor/urllib3/util/retry.py	python	Retry.is_retry	(self, method, status_code, has_retry_after=False)	return (self.total and self.respect_retry_after_header and has_retry_after and (status_code in self.RETRY_AFTER_STATUS_CODES))	Is this method/status code retryable? (Based on whitelists and control variables such as the number of total retries to allow, whether to respect the Retry-After header, whether this header is present, and whether the returned status code is on the list of status codes to be retried upon on the presence of the aforementioned header)	Is this method/status code retryable? (Based on whitelists and control variables such as the number of total retries to allow, whether to respect the Retry-After header, whether this header is present, and whether the returned status code is on the list of status codes to be retried upon on the presence of the aforementioned header)	[ "Is", "this", "method", "/", "status", "code", "retryable?", "(", "Based", "on", "whitelists", "and", "control", "variables", "such", "as", "the", "number", "of", "total", "retries", "to", "allow", "whether", "to", "respect", "the", "Retry", "-", "After", "header", "whether", "this", "header", "is", "present", "and", "whether", "the", "returned", "status", "code", "is", "on", "the", "list", "of", "status", "codes", "to", "be", "retried", "upon", "on", "the", "presence", "of", "the", "aforementioned", "header", ")" ]	def is_retry(self, method, status_code, has_retry_after=False): """ Is this method/status code retryable? (Based on whitelists and control variables such as the number of total retries to allow, whether to respect the Retry-After header, whether this header is present, and whether the returned status code is on the list of status codes to be retried upon on the presence of the aforementioned header) """ if not self._is_method_retryable(method): return False if self.status_forcelist and status_code in self.status_forcelist: return True return (self.total and self.respect_retry_after_header and has_retry_after and (status_code in self.RETRY_AFTER_STATUS_CODES))	[ "def", "is_retry", "(", "self", ",", "method", ",", "status_code", ",", "has_retry_after", "=", "False", ")", ":", "if", "not", "self", ".", "_is_method_retryable", "(", "method", ")", ":", "return", "False", "if", "self", ".", "status_forcelist", "and", "status_code", "in", "self", ".", "status_forcelist", ":", "return", "True", "return", "(", "self", ".", "total", "and", "self", ".", "respect_retry_after_header", "and", "has_retry_after", "and", "(", "status_code", "in", "self", ".", "RETRY_AFTER_STATUS_CODES", ")", ")" ]	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/urllib3/util/retry.py#L304-L318
aws/lumberyard	f85344403c1c2e77ec8c75deb2c116e97b713217	dev/Gems/Blast/houdini/python2.7libs/blastExport/slice.py	python	Slice.metaDataEntityId	(self, value)		:return: str	:return: str	[ ":", "return", ":", "str" ]	def metaDataEntityId(self, value): """ :return: str """ if self.__metaDataEntityId == value: return self.__metaDataEntityId = value	[ "def", "metaDataEntityId", "(", "self", ",", "value", ")", ":", "if", "self", ".", "__metaDataEntityId", "==", "value", ":", "return", "self", ".", "__metaDataEntityId", "=", "value" ]	https://github.com/aws/lumberyard/blob/f85344403c1c2e77ec8c75deb2c116e97b713217/dev/Gems/Blast/houdini/python2.7libs/blastExport/slice.py#L262-L270
mindspore-ai/mindspore	fb8fd3338605bb34fa5cea054e535a8b1d753fab	mindspore/python/mindspore/nn/layer/container.py	python	_get_prefix_and_index	(cells)	return prefix, index	get prefix and index of parameter name in sequential cell or cell list.	get prefix and index of parameter name in sequential cell or cell list.	[ "get", "prefix", "and", "index", "of", "parameter", "name", "in", "sequential", "cell", "or", "cell", "list", "." ]	def _get_prefix_and_index(cells): """get prefix and index of parameter name in sequential cell or cell list.""" prefix = "" index = 0 if not cells: return prefix, index cell_list = list(cells.items()) first_param, first_key = None, None second_param, second_key = None, None for key, cell in cell_list: try: _, param = next(cell.parameters_and_names()) except StopIteration: continue if first_param is None: first_param = param first_key = key continue second_param = param second_key = key break if first_param is None: return prefix, index split_names = first_param.name.split(".") for idx, name in enumerate(split_names): if name == first_key: prefix = ".".join(split_names[:idx]) prefix = prefix + "." if prefix else prefix index = idx if second_param is not None and second_param.name.split(".")[idx] == second_key: break return prefix, index	[ "def", "_get_prefix_and_index", "(", "cells", ")", ":", "prefix", "=", "\"\"", "index", "=", "0", "if", "not", "cells", ":", "return", "prefix", ",", "index", "cell_list", "=", "list", "(", "cells", ".", "items", "(", ")", ")", "first_param", ",", "first_key", "=", "None", ",", "None", "second_param", ",", "second_key", "=", "None", ",", "None", "for", "key", ",", "cell", "in", "cell_list", ":", "try", ":", "_", ",", "param", "=", "next", "(", "cell", ".", "parameters_and_names", "(", ")", ")", "except", "StopIteration", ":", "continue", "if", "first_param", "is", "None", ":", "first_param", "=", "param", "first_key", "=", "key", "continue", "second_param", "=", "param", "second_key", "=", "key", "break", "if", "first_param", "is", "None", ":", "return", "prefix", ",", "index", "split_names", "=", "first_param", ".", "name", ".", "split", "(", "\".\"", ")", "for", "idx", ",", "name", "in", "enumerate", "(", "split_names", ")", ":", "if", "name", "==", "first_key", ":", "prefix", "=", "\".\"", ".", "join", "(", "split_names", "[", ":", "idx", "]", ")", "prefix", "=", "prefix", "+", "\".\"", "if", "prefix", "else", "prefix", "index", "=", "idx", "if", "second_param", "is", "not", "None", "and", "second_param", ".", "name", ".", "split", "(", "\".\"", ")", "[", "idx", "]", "==", "second_key", ":", "break", "return", "prefix", ",", "index" ]	https://github.com/mindspore-ai/mindspore/blob/fb8fd3338605bb34fa5cea054e535a8b1d753fab/mindspore/python/mindspore/nn/layer/container.py#L42-L76
francinexue/xuefu	b6ff79747a42e020588c0c0a921048e08fe4680c	api/ctpx/ctptd.py	python	CtpTd.onRtnOrder	(self, OrderField)		报单通知	报单通知	[ "报单通知" ]	def onRtnOrder(self, OrderField): """报单通知""" # #如果委托成功，OrderSubmitStatus先是0（不用管），则OrderSubmitStatus = 3，且orderStatus = 3，等待排队. # 紧接着成交则OrderSubmitStatus = 3，且orderStatus = 0-1 ## 如果撤单成功，OrderSubmitStatus先是1（不用管），则OrderSubmitStatus = 3，且orderStatus = *.等待撤单 # 紧接着成交则OrderSubmitStatus = 3，且orderStatus = 5 ？？ for listener in self._barEventListeners: listener.onRtnOrderEvent(OrderField)	[ "def", "onRtnOrder", "(", "self", ",", "OrderField", ")", ":", "# #如果委托成功，OrderSubmitStatus先是0（不用管），则OrderSubmitStatus = 3，且orderStatus = 3，等待排队.", "# 紧接着成交则OrderSubmitStatus = 3，且orderStatus = 0-1", "## 如果撤单成功，OrderSubmitStatus先是1（不用管），则OrderSubmitStatus = 3，且orderStatus = *.等待撤单", "# 紧接着成交则OrderSubmitStatus = 3，且orderStatus = 5 ？？", "for", "listener", "in", "self", ".", "_barEventListeners", ":", "listener", ".", "onRtnOrderEvent", "(", "OrderField", ")" ]	https://github.com/francinexue/xuefu/blob/b6ff79747a42e020588c0c0a921048e08fe4680c/api/ctpx/ctptd.py#L753-L760
hanpfei/chromium-net	392cc1fa3a8f92f42e4071ab6e674d8e0482f83f	third_party/catapult/third_party/mapreduce/mapreduce/api/map_job/map_job_control.py	python	Job.__update_state	(self)		Fetches most up to date state from db.	Fetches most up to date state from db.	[ "Fetches", "most", "up", "to", "date", "state", "from", "db", "." ]	def __update_state(self): """Fetches most up to date state from db.""" # Only if the job was not in a terminal state. if self._state.active: self._state = self.__get_state_by_id(self.job_config.job_id)	[ "def", "__update_state", "(", "self", ")", ":", "# Only if the job was not in a terminal state.", "if", "self", ".", "_state", ".", "active", ":", "self", ".", "_state", "=", "self", ".", "__get_state_by_id", "(", "self", ".", "job_config", ".", "job_id", ")" ]	https://github.com/hanpfei/chromium-net/blob/392cc1fa3a8f92f42e4071ab6e674d8e0482f83f/third_party/catapult/third_party/mapreduce/mapreduce/api/map_job/map_job_control.py#L157-L161
wxWidgets/wxPython-Classic	19571e1ae65f1ac445f5491474121998c97a1bf0	wx/lib/agw/ultimatelistctrl.py	python	UltimateListItemData.SetImage	(self, image)		Sets the zero-based indexes of the images associated with the item into the image list. :param `image`: a Python list with the zero-based indexes of the images associated with the item into the image list.	Sets the zero-based indexes of the images associated with the item into the image list.	[ "Sets", "the", "zero", "-", "based", "indexes", "of", "the", "images", "associated", "with", "the", "item", "into", "the", "image", "list", "." ]	def SetImage(self, image): """ Sets the zero-based indexes of the images associated with the item into the image list. :param `image`: a Python list with the zero-based indexes of the images associated with the item into the image list. """ self._image = to_list(image)	[ "def", "SetImage", "(", "self", ",", "image", ")", ":", "self", ".", "_image", "=", "to_list", "(", "image", ")" ]	https://github.com/wxWidgets/wxPython-Classic/blob/19571e1ae65f1ac445f5491474121998c97a1bf0/wx/lib/agw/ultimatelistctrl.py#L2553-L2562
lammps/lammps	b75c3065430a75b1b5543a10e10f46d9b4c91913	python/lammps/core.py	python	lammps.get_os_info	(self)	return sb.value.decode()	Return a string with information about the OS and compiler runtime This is a wrapper around the :cpp:func:`lammps_get_os_info` function of the C-library interface. :return: OS info string :rtype: string	Return a string with information about the OS and compiler runtime	[ "Return", "a", "string", "with", "information", "about", "the", "OS", "and", "compiler", "runtime" ]	def get_os_info(self): """Return a string with information about the OS and compiler runtime This is a wrapper around the :cpp:func:`lammps_get_os_info` function of the C-library interface. :return: OS info string :rtype: string """ sb = create_string_buffer(512) self.lib.lammps_get_os_info(sb,512) return sb.value.decode()	[ "def", "get_os_info", "(", "self", ")", ":", "sb", "=", "create_string_buffer", "(", "512", ")", "self", ".", "lib", ".", "lammps_get_os_info", "(", "sb", ",", "512", ")", "return", "sb", ".", "value", ".", "decode", "(", ")" ]	https://github.com/lammps/lammps/blob/b75c3065430a75b1b5543a10e10f46d9b4c91913/python/lammps/core.py#L505-L516
mindspore-ai/mindspore	fb8fd3338605bb34fa5cea054e535a8b1d753fab	mindspore/python/mindspore/nn/probability/distribution/gamma.py	python	Gamma._log_prob	(self, value, concentration=None, rate=None)	return unnormalized_log_prob - log_normalization	r""" Evaluate log probability. Args: value (Tensor): The value to be evaluated. concentration (Tensor): The concentration of the distribution. Default: self._concentration. rate (Tensor): The rate the distribution. Default: self._rate. .. math:: L(x) = (\alpha - 1) * \log(x) - \beta * x - \log(\gamma(\alpha)) - \alpha * \log(\beta)	r""" Evaluate log probability.	[ "r", "Evaluate", "log", "probability", "." ]	def _log_prob(self, value, concentration=None, rate=None): r""" Evaluate log probability. Args: value (Tensor): The value to be evaluated. concentration (Tensor): The concentration of the distribution. Default: self._concentration. rate (Tensor): The rate the distribution. Default: self._rate. .. math:: L(x) = (\alpha - 1) * \log(x) - \beta * x - \log(\gamma(\alpha)) - \alpha * \log(\beta) """ value = self._check_value(value, 'value') value = self.cast(value, self.dtype) concentration, rate = self._check_param_type(concentration, rate) unnormalized_log_prob = (concentration - 1.) * \ self.log(value) - rate * value log_normalization = self.lgamma( concentration) - concentration * self.log(rate) return unnormalized_log_prob - log_normalization	[ "def", "_log_prob", "(", "self", ",", "value", ",", "concentration", "=", "None", ",", "rate", "=", "None", ")", ":", "value", "=", "self", ".", "_check_value", "(", "value", ",", "'value'", ")", "value", "=", "self", ".", "cast", "(", "value", ",", "self", ".", "dtype", ")", "concentration", ",", "rate", "=", "self", ".", "_check_param_type", "(", "concentration", ",", "rate", ")", "unnormalized_log_prob", "=", "(", "concentration", "-", "1.", ")", "", "self", ".", "log", "(", "value", ")", "-", "rate", "", "value", "log_normalization", "=", "self", ".", "lgamma", "(", "concentration", ")", "-", "concentration", "*", "self", ".", "log", "(", "rate", ")", "return", "unnormalized_log_prob", "-", "log_normalization" ]	https://github.com/mindspore-ai/mindspore/blob/fb8fd3338605bb34fa5cea054e535a8b1d753fab/mindspore/python/mindspore/nn/probability/distribution/gamma.py#L312-L331
catboost/catboost	167f64f237114a4d10b2b4ee42adb4569137debe	contrib/python/scipy/py3/scipy/ndimage/interpolation.py	python	shift	(input, shift, output=None, order=3, mode='constant', cval=0.0, prefilter=True)	return output	Shift an array. The array is shifted using spline interpolation of the requested order. Points outside the boundaries of the input are filled according to the given mode. Parameters ---------- %(input)s shift : float or sequence The shift along the axes. If a float, `shift` is the same for each axis. If a sequence, `shift` should contain one value for each axis. %(output)s order : int, optional The order of the spline interpolation, default is 3. The order has to be in the range 0-5. %(mode)s %(cval)s %(prefilter)s Returns ------- shift : ndarray The shifted input.	Shift an array.	[ "Shift", "an", "array", "." ]	def shift(input, shift, output=None, order=3, mode='constant', cval=0.0, prefilter=True): """ Shift an array. The array is shifted using spline interpolation of the requested order. Points outside the boundaries of the input are filled according to the given mode. Parameters ---------- %(input)s shift : float or sequence The shift along the axes. If a float, `shift` is the same for each axis. If a sequence, `shift` should contain one value for each axis. %(output)s order : int, optional The order of the spline interpolation, default is 3. The order has to be in the range 0-5. %(mode)s %(cval)s %(prefilter)s Returns ------- shift : ndarray The shifted input. """ if order < 0 or order > 5: raise RuntimeError('spline order not supported') input = numpy.asarray(input) if numpy.iscomplexobj(input): raise TypeError('Complex type not supported') if input.ndim < 1: raise RuntimeError('input and output rank must be > 0') mode = _ni_support._extend_mode_to_code(mode) if prefilter and order > 1: filtered = spline_filter(input, order, output=numpy.float64) else: filtered = input output = _ni_support._get_output(output, input) shift = _ni_support._normalize_sequence(shift, input.ndim) shift = [-ii for ii in shift] shift = numpy.asarray(shift, dtype=numpy.float64) if not shift.flags.contiguous: shift = shift.copy() _nd_image.zoom_shift(filtered, None, shift, output, order, mode, cval) return output	[ "def", "shift", "(", "input", ",", "shift", ",", "output", "=", "None", ",", "order", "=", "3", ",", "mode", "=", "'constant'", ",", "cval", "=", "0.0", ",", "prefilter", "=", "True", ")", ":", "if", "order", "<", "0", "or", "order", ">", "5", ":", "raise", "RuntimeError", "(", "'spline order not supported'", ")", "input", "=", "numpy", ".", "asarray", "(", "input", ")", "if", "numpy", ".", "iscomplexobj", "(", "input", ")", ":", "raise", "TypeError", "(", "'Complex type not supported'", ")", "if", "input", ".", "ndim", "<", "1", ":", "raise", "RuntimeError", "(", "'input and output rank must be > 0'", ")", "mode", "=", "_ni_support", ".", "_extend_mode_to_code", "(", "mode", ")", "if", "prefilter", "and", "order", ">", "1", ":", "filtered", "=", "spline_filter", "(", "input", ",", "order", ",", "output", "=", "numpy", ".", "float64", ")", "else", ":", "filtered", "=", "input", "output", "=", "_ni_support", ".", "_get_output", "(", "output", ",", "input", ")", "shift", "=", "_ni_support", ".", "_normalize_sequence", "(", "shift", ",", "input", ".", "ndim", ")", "shift", "=", "[", "-", "ii", "for", "ii", "in", "shift", "]", "shift", "=", "numpy", ".", "asarray", "(", "shift", ",", "dtype", "=", "numpy", ".", "float64", ")", "if", "not", "shift", ".", "flags", ".", "contiguous", ":", "shift", "=", "shift", ".", "copy", "(", ")", "_nd_image", ".", "zoom_shift", "(", "filtered", ",", "None", ",", "shift", ",", "output", ",", "order", ",", "mode", ",", "cval", ")", "return", "output" ]	https://github.com/catboost/catboost/blob/167f64f237114a4d10b2b4ee42adb4569137debe/contrib/python/scipy/py3/scipy/ndimage/interpolation.py#L485-L533
okex/V3-Open-API-SDK	c5abb0db7e2287718e0055e17e57672ce0ec7fd9	okex-python-sdk-api/venv/Lib/site-packages/pip-19.0.3-py3.8.egg/pip/_vendor/ipaddress.py	python	ip_interface	(address)		Take an IP string/int and return an object of the correct type. Args: address: A string or integer, the IP address. Either IPv4 or IPv6 addresses may be supplied; integers less than 2**32 will be considered to be IPv4 by default. Returns: An IPv4Interface or IPv6Interface object. Raises: ValueError: if the string passed isn't either a v4 or a v6 address. Notes: The IPv?Interface classes describe an Address on a particular Network, so they're basically a combination of both the Address and Network classes.	Take an IP string/int and return an object of the correct type.	[ "Take", "an", "IP", "string", "/", "int", "and", "return", "an", "object", "of", "the", "correct", "type", "." ]	def ip_interface(address): """Take an IP string/int and return an object of the correct type. Args: address: A string or integer, the IP address. Either IPv4 or IPv6 addresses may be supplied; integers less than 2**32 will be considered to be IPv4 by default. Returns: An IPv4Interface or IPv6Interface object. Raises: ValueError: if the string passed isn't either a v4 or a v6 address. Notes: The IPv?Interface classes describe an Address on a particular Network, so they're basically a combination of both the Address and Network classes. """ try: return IPv4Interface(address) except (AddressValueError, NetmaskValueError): pass try: return IPv6Interface(address) except (AddressValueError, NetmaskValueError): pass raise ValueError('%r does not appear to be an IPv4 or IPv6 interface' % address)	[ "def", "ip_interface", "(", "address", ")", ":", "try", ":", "return", "IPv4Interface", "(", "address", ")", "except", "(", "AddressValueError", ",", "NetmaskValueError", ")", ":", "pass", "try", ":", "return", "IPv6Interface", "(", "address", ")", "except", "(", "AddressValueError", ",", "NetmaskValueError", ")", ":", "pass", "raise", "ValueError", "(", "'%r does not appear to be an IPv4 or IPv6 interface'", "%", "address", ")" ]	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/ipaddress.py#L207-L239
tensorflow/serving	3b29e18ab57c68604f599d0b3e1f8df417d22427	tensorflow_serving/apis/prediction_service_pb2_grpc.py	python	PredictionServiceServicer.Predict	(self, request, context)		Predict -- provides access to loaded TensorFlow model.	Predict -- provides access to loaded TensorFlow model.	[ "Predict", "--", "provides", "access", "to", "loaded", "TensorFlow", "model", "." ]	def Predict(self, request, context): """Predict -- provides access to loaded TensorFlow model. """ context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!')	[ "def", "Predict", "(", "self", ",", "request", ",", "context", ")", ":", "context", ".", "set_code", "(", "grpc", ".", "StatusCode", ".", "UNIMPLEMENTED", ")", "context", ".", "set_details", "(", "'Method not implemented!'", ")", "raise", "NotImplementedError", "(", "'Method not implemented!'", ")" ]	https://github.com/tensorflow/serving/blob/3b29e18ab57c68604f599d0b3e1f8df417d22427/tensorflow_serving/apis/prediction_service_pb2_grpc.py#L87-L92
Yelp/MOE	5b5a6a2c6c3cf47320126f7f5894e2a83e347f5c	moe/views/optimizable_gp_pretty_view.py	python	OptimizableGpPrettyView._get_default_optimizer_params	(self, params)	return OPTIMIZER_TYPE_AND_OBJECTIVE_TO_DEFAULT_PARAMETERS[optimizer_parameters_lookup]	Get the default optimizer parameters associated with the desired ``optimizer_type`` and REST endpoint. :param params: a (partially) deserialized REST request with everything except possibly ``params['optimizer_info']`` :type params: dict :return: default multistart and optimizer parameters to use with this REST request :rtype: :class:`moe.optimal_learning.python.constant.DefaultOptimizerInfoTuple`	Get the default optimizer parameters associated with the desired ``optimizer_type`` and REST endpoint.	[ "Get", "the", "default", "optimizer", "parameters", "associated", "with", "the", "desired", "optimizer_type", "and", "REST", "endpoint", "." ]	def _get_default_optimizer_params(self, params): """Get the default optimizer parameters associated with the desired ``optimizer_type`` and REST endpoint. :param params: a (partially) deserialized REST request with everything except possibly ``params['optimizer_info']`` :type params: dict :return: default multistart and optimizer parameters to use with this REST request :rtype: :class:`moe.optimal_learning.python.constant.DefaultOptimizerInfoTuple` """ optimizer_type = params['optimizer_info']['optimizer_type'] optimizer_parameters_lookup = (optimizer_type, self._route_name) return OPTIMIZER_TYPE_AND_OBJECTIVE_TO_DEFAULT_PARAMETERS[optimizer_parameters_lookup]	[ "def", "_get_default_optimizer_params", "(", "self", ",", "params", ")", ":", "optimizer_type", "=", "params", "[", "'optimizer_info'", "]", "[", "'optimizer_type'", "]", "optimizer_parameters_lookup", "=", "(", "optimizer_type", ",", "self", ".", "_route_name", ")", "return", "OPTIMIZER_TYPE_AND_OBJECTIVE_TO_DEFAULT_PARAMETERS", "[", "optimizer_parameters_lookup", "]" ]	https://github.com/Yelp/MOE/blob/5b5a6a2c6c3cf47320126f7f5894e2a83e347f5c/moe/views/optimizable_gp_pretty_view.py#L26-L38
rrwick/Porechop	109e437280436d1ec27e5a5b7a34ffb752176390	ez_setup.py	python	_parse_args	()	return options	Parse the command line for options.	Parse the command line for options.	[ "Parse", "the", "command", "line", "for", "options", "." ]	def _parse_args(): """Parse the command line for options.""" parser = optparse.OptionParser() parser.add_option( '--user', dest='user_install', action='store_true', default=False, help='install in user site package') parser.add_option( '--download-base', dest='download_base', metavar="URL", default=DEFAULT_URL, help='alternative URL from where to download the setuptools package') parser.add_option( '--insecure', dest='downloader_factory', action='store_const', const=lambda: download_file_insecure, default=get_best_downloader, help='Use internal, non-validating downloader' ) parser.add_option( '--version', help="Specify which version to download", default=DEFAULT_VERSION, ) parser.add_option( '--to-dir', help="Directory to save (and re-use) package", default=DEFAULT_SAVE_DIR, ) options, args = parser.parse_args() # positional arguments are ignored return options	[ "def", "_parse_args", "(", ")", ":", "parser", "=", "optparse", ".", "OptionParser", "(", ")", "parser", ".", "add_option", "(", "'--user'", ",", "dest", "=", "'user_install'", ",", "action", "=", "'store_true'", ",", "default", "=", "False", ",", "help", "=", "'install in user site package'", ")", "parser", ".", "add_option", "(", "'--download-base'", ",", "dest", "=", "'download_base'", ",", "metavar", "=", "\"URL\"", ",", "default", "=", "DEFAULT_URL", ",", "help", "=", "'alternative URL from where to download the setuptools package'", ")", "parser", ".", "add_option", "(", "'--insecure'", ",", "dest", "=", "'downloader_factory'", ",", "action", "=", "'store_const'", ",", "const", "=", "lambda", ":", "download_file_insecure", ",", "default", "=", "get_best_downloader", ",", "help", "=", "'Use internal, non-validating downloader'", ")", "parser", ".", "add_option", "(", "'--version'", ",", "help", "=", "\"Specify which version to download\"", ",", "default", "=", "DEFAULT_VERSION", ",", ")", "parser", ".", "add_option", "(", "'--to-dir'", ",", "help", "=", "\"Directory to save (and re-use) package\"", ",", "default", "=", "DEFAULT_SAVE_DIR", ",", ")", "options", ",", "args", "=", "parser", ".", "parse_args", "(", ")", "# positional arguments are ignored", "return", "options" ]	https://github.com/rrwick/Porechop/blob/109e437280436d1ec27e5a5b7a34ffb752176390/ez_setup.py#L368-L394
catboost/catboost	167f64f237114a4d10b2b4ee42adb4569137debe	contrib/python/ipython/py3/IPython/terminal/pt_inputhooks/wx.py	python	inputhook_wx1	(context)	return 0	Run the wx event loop by processing pending events only. This approach seems to work, but its performance is not great as it relies on having PyOS_InputHook called regularly.	Run the wx event loop by processing pending events only.	[ "Run", "the", "wx", "event", "loop", "by", "processing", "pending", "events", "only", "." ]	def inputhook_wx1(context): """Run the wx event loop by processing pending events only. This approach seems to work, but its performance is not great as it relies on having PyOS_InputHook called regularly. """ app = wx.GetApp() if app is not None: assert wx.Thread_IsMain() # Make a temporary event loop and process system events until # there are no more waiting, then allow idle events (which # will also deal with pending or posted wx events.) evtloop = wx.EventLoop() ea = wx.EventLoopActivator(evtloop) while evtloop.Pending(): evtloop.Dispatch() app.ProcessIdle() del ea return 0	[ "def", "inputhook_wx1", "(", "context", ")", ":", "app", "=", "wx", ".", "GetApp", "(", ")", "if", "app", "is", "not", "None", ":", "assert", "wx", ".", "Thread_IsMain", "(", ")", "# Make a temporary event loop and process system events until", "# there are no more waiting, then allow idle events (which", "# will also deal with pending or posted wx events.)", "evtloop", "=", "wx", ".", "EventLoop", "(", ")", "ea", "=", "wx", ".", "EventLoopActivator", "(", "evtloop", ")", "while", "evtloop", ".", "Pending", "(", ")", ":", "evtloop", ".", "Dispatch", "(", ")", "app", ".", "ProcessIdle", "(", ")", "del", "ea", "return", "0" ]	https://github.com/catboost/catboost/blob/167f64f237114a4d10b2b4ee42adb4569137debe/contrib/python/ipython/py3/IPython/terminal/pt_inputhooks/wx.py#L28-L47
catboost/catboost	167f64f237114a4d10b2b4ee42adb4569137debe	contrib/tools/python/src/Lib/fractions.py	python	Fraction.__new__	(cls, numerator=0, denominator=None)	return self	Constructs a Fraction. Takes a string like '3/2' or '1.5', another Rational instance, a numerator/denominator pair, or a float. Examples -------- >>> Fraction(10, -8) Fraction(-5, 4) >>> Fraction(Fraction(1, 7), 5) Fraction(1, 35) >>> Fraction(Fraction(1, 7), Fraction(2, 3)) Fraction(3, 14) >>> Fraction('314') Fraction(314, 1) >>> Fraction('-35/4') Fraction(-35, 4) >>> Fraction('3.1415') # conversion from numeric string Fraction(6283, 2000) >>> Fraction('-47e-2') # string may include a decimal exponent Fraction(-47, 100) >>> Fraction(1.47) # direct construction from float (exact conversion) Fraction(6620291452234629, 4503599627370496) >>> Fraction(2.25) Fraction(9, 4) >>> Fraction(Decimal('1.47')) Fraction(147, 100)	Constructs a Fraction.	[ "Constructs", "a", "Fraction", "." ]	def __new__(cls, numerator=0, denominator=None): """Constructs a Fraction. Takes a string like '3/2' or '1.5', another Rational instance, a numerator/denominator pair, or a float. Examples -------- >>> Fraction(10, -8) Fraction(-5, 4) >>> Fraction(Fraction(1, 7), 5) Fraction(1, 35) >>> Fraction(Fraction(1, 7), Fraction(2, 3)) Fraction(3, 14) >>> Fraction('314') Fraction(314, 1) >>> Fraction('-35/4') Fraction(-35, 4) >>> Fraction('3.1415') # conversion from numeric string Fraction(6283, 2000) >>> Fraction('-47e-2') # string may include a decimal exponent Fraction(-47, 100) >>> Fraction(1.47) # direct construction from float (exact conversion) Fraction(6620291452234629, 4503599627370496) >>> Fraction(2.25) Fraction(9, 4) >>> Fraction(Decimal('1.47')) Fraction(147, 100) """ self = super(Fraction, cls).__new__(cls) if denominator is None: if isinstance(numerator, Rational): self._numerator = numerator.numerator self._denominator = numerator.denominator return self elif isinstance(numerator, float): # Exact conversion from float value = Fraction.from_float(numerator) self._numerator = value._numerator self._denominator = value._denominator return self elif isinstance(numerator, Decimal): value = Fraction.from_decimal(numerator) self._numerator = value._numerator self._denominator = value._denominator return self elif isinstance(numerator, basestring): # Handle construction from strings. m = _RATIONAL_FORMAT.match(numerator) if m is None: raise ValueError('Invalid literal for Fraction: %r' % numerator) numerator = int(m.group('num') or '0') denom = m.group('denom') if denom: denominator = int(denom) else: denominator = 1 decimal = m.group('decimal') if decimal: scale = 10*len(decimal) numerator = numerator scale + int(decimal) denominator = scale exp = m.group('exp') if exp: exp = int(exp) if exp >= 0: numerator = 10*exp else: denominator = 10*-exp if m.group('sign') == '-': numerator = -numerator else: raise TypeError("argument should be a string " "or a Rational instance") elif (isinstance(numerator, Rational) and isinstance(denominator, Rational)): numerator, denominator = ( numerator.numerator denominator.denominator, denominator.numerator * numerator.denominator ) else: raise TypeError("both arguments should be " "Rational instances") if denominator == 0: raise ZeroDivisionError('Fraction(%s, 0)' % numerator) g = gcd(numerator, denominator) self._numerator = numerator // g self._denominator = denominator // g return self	[ "def", "__new__", "(", "cls", ",", "numerator", "=", "0", ",", "denominator", "=", "None", ")", ":", "self", "=", "super", "(", "Fraction", ",", "cls", ")", ".", "__new__", "(", "cls", ")", "if", "denominator", "is", "None", ":", "if", "isinstance", "(", "numerator", ",", "Rational", ")", ":", "self", ".", "_numerator", "=", "numerator", ".", "numerator", "self", ".", "_denominator", "=", "numerator", ".", "denominator", "return", "self", "elif", "isinstance", "(", "numerator", ",", "float", ")", ":", "# Exact conversion from float", "value", "=", "Fraction", ".", "from_float", "(", "numerator", ")", "self", ".", "_numerator", "=", "value", ".", "_numerator", "self", ".", "_denominator", "=", "value", ".", "_denominator", "return", "self", "elif", "isinstance", "(", "numerator", ",", "Decimal", ")", ":", "value", "=", "Fraction", ".", "from_decimal", "(", "numerator", ")", "self", ".", "_numerator", "=", "value", ".", "_numerator", "self", ".", "_denominator", "=", "value", ".", "_denominator", "return", "self", "elif", "isinstance", "(", "numerator", ",", "basestring", ")", ":", "# Handle construction from strings.", "m", "=", "_RATIONAL_FORMAT", ".", "match", "(", "numerator", ")", "if", "m", "is", "None", ":", "raise", "ValueError", "(", "'Invalid literal for Fraction: %r'", "%", "numerator", ")", "numerator", "=", "int", "(", "m", ".", "group", "(", "'num'", ")", "or", "'0'", ")", "denom", "=", "m", ".", "group", "(", "'denom'", ")", "if", "denom", ":", "denominator", "=", "int", "(", "denom", ")", "else", ":", "denominator", "=", "1", "decimal", "=", "m", ".", "group", "(", "'decimal'", ")", "if", "decimal", ":", "scale", "=", "10", "*", "len", "(", "decimal", ")", "numerator", "=", "numerator", "", "scale", "+", "int", "(", "decimal", ")", "denominator", "=", "scale", "exp", "=", "m", ".", "group", "(", "'exp'", ")", "if", "exp", ":", "exp", "=", "int", "(", "exp", ")", "if", "exp", ">=", "0", ":", "numerator", "=", "10", "*", "exp", "else", ":", "denominator", "=", "10", "*", "-", "exp", "if", "m", ".", "group", "(", "'sign'", ")", "==", "'-'", ":", "numerator", "=", "-", "numerator", "else", ":", "raise", "TypeError", "(", "\"argument should be a string \"", "\"or a Rational instance\"", ")", "elif", "(", "isinstance", "(", "numerator", ",", "Rational", ")", "and", "isinstance", "(", "denominator", ",", "Rational", ")", ")", ":", "numerator", ",", "denominator", "=", "(", "numerator", ".", "numerator", "", "denominator", ".", "denominator", ",", "denominator", ".", "numerator", "*", "numerator", ".", "denominator", ")", "else", ":", "raise", "TypeError", "(", "\"both arguments should be \"", "\"Rational instances\"", ")", "if", "denominator", "==", "0", ":", "raise", "ZeroDivisionError", "(", "'Fraction(%s, 0)'", "%", "numerator", ")", "g", "=", "gcd", "(", "numerator", ",", "denominator", ")", "self", ".", "_numerator", "=", "numerator", "//", "g", "self", ".", "_denominator", "=", "denominator", "//", "g", "return", "self" ]	https://github.com/catboost/catboost/blob/167f64f237114a4d10b2b4ee42adb4569137debe/contrib/tools/python/src/Lib/fractions.py#L68-L166
wlanjie/AndroidFFmpeg	7baf9122f4b8e1c74e7baf4be5c422c7a5ba5aaf	tools/fdk-aac-build/x86/toolchain/lib/python2.7/chunk.py	python	Chunk.getsize	(self)	return self.chunksize	Return the size of the current chunk.	Return the size of the current chunk.	[ "Return", "the", "size", "of", "the", "current", "chunk", "." ]	def getsize(self): """Return the size of the current chunk.""" return self.chunksize	[ "def", "getsize", "(", "self", ")", ":", "return", "self", ".", "chunksize" ]	https://github.com/wlanjie/AndroidFFmpeg/blob/7baf9122f4b8e1c74e7baf4be5c422c7a5ba5aaf/tools/fdk-aac-build/x86/toolchain/lib/python2.7/chunk.py#L82-L84
aws/lumberyard	f85344403c1c2e77ec8c75deb2c116e97b713217	dev/Gems/CloudGemMetric/v1/AWS/common-code/Lib/pandas/core/arrays/numpy_.py	python	PandasDtype.itemsize	(self)	return self._dtype.itemsize	The element size of this data-type object.	The element size of this data-type object.	[ "The", "element", "size", "of", "this", "data", "-", "type", "object", "." ]	def itemsize(self): """The element size of this data-type object.""" return self._dtype.itemsize	[ "def", "itemsize", "(", "self", ")", ":", "return", "self", ".", "_dtype", ".", "itemsize" ]	https://github.com/aws/lumberyard/blob/f85344403c1c2e77ec8c75deb2c116e97b713217/dev/Gems/CloudGemMetric/v1/AWS/common-code/Lib/pandas/core/arrays/numpy_.py#L97-L99
aws/lumberyard	f85344403c1c2e77ec8c75deb2c116e97b713217	dev/Gems/CloudGemMetric/v1/AWS/python/windows/Lib/numba/targets/dictimpl.py	python	impl_dict	(context, builder, sig, args)	return context.compile_internal(builder, call_ctor, sig, args)	The `dict()` implementation simply forwards the work to `Dict.empty()`.	The `dict()` implementation simply forwards the work to `Dict.empty()`.	[ "The", "dict", "()", "implementation", "simply", "forwards", "the", "work", "to", "Dict", ".", "empty", "()", "." ]	def impl_dict(context, builder, sig, args): """ The `dict()` implementation simply forwards the work to `Dict.empty()`. """ from numba.typed import Dict dicttype = sig.return_type kt, vt = dicttype.key_type, dicttype.value_type def call_ctor(): return Dict.empty(kt, vt) return context.compile_internal(builder, call_ctor, sig, args)	[ "def", "impl_dict", "(", "context", ",", "builder", ",", "sig", ",", "args", ")", ":", "from", "numba", ".", "typed", "import", "Dict", "dicttype", "=", "sig", ".", "return_type", "kt", ",", "vt", "=", "dicttype", ".", "key_type", ",", "dicttype", ".", "value_type", "def", "call_ctor", "(", ")", ":", "return", "Dict", ".", "empty", "(", "kt", ",", "vt", ")", "return", "context", ".", "compile_internal", "(", "builder", ",", "call_ctor", ",", "sig", ",", "args", ")" ]	https://github.com/aws/lumberyard/blob/f85344403c1c2e77ec8c75deb2c116e97b713217/dev/Gems/CloudGemMetric/v1/AWS/python/windows/Lib/numba/targets/dictimpl.py#L8-L20
Xilinx/Vitis-AI	fc74d404563d9951b57245443c73bef389f3657f	tools/Vitis-AI-Quantizer/vai_q_tensorflow1.x/tensorflow/python/saved_model/loader_impl.py	python	SavedModelLoader.load	(self, sess, tags, import_scope=None, **saver_kwargs)	return self.get_meta_graph_def_from_tags(tags)	Load the MetaGraphDef graph and restore variable values into the session. Args: sess: tf.compat.v1.Session to restore variable values. tags: a set of string tags identifying a MetaGraphDef. import_scope: Optional `string` -- if specified, prepend this string followed by '/' to all loaded tensor names. This scope is applied to tensor instances loaded into the passed session, but it is not written through to the static `MetaGraphDef` protocol buffer that is returned. **saver_kwargs: keyword arguments to pass to tf.train.import_meta_graph. Returns: `MetagraphDef` proto of the graph that was loaded.	Load the MetaGraphDef graph and restore variable values into the session.	[ "Load", "the", "MetaGraphDef", "graph", "and", "restore", "variable", "values", "into", "the", "session", "." ]	def load(self, sess, tags, import_scope=None, *saver_kwargs): """Load the MetaGraphDef graph and restore variable values into the session. Args: sess: tf.compat.v1.Session to restore variable values. tags: a set of string tags identifying a MetaGraphDef. import_scope: Optional `string` -- if specified, prepend this string followed by '/' to all loaded tensor names. This scope is applied to tensor instances loaded into the passed session, but it is not* written through to the static `MetaGraphDef` protocol buffer that is returned. saver_kwargs: keyword arguments to pass to tf.train.import_meta_graph. Returns: `MetagraphDef` proto of the graph that was loaded. """ with sess.graph.as_default(): saver, _ = self.load_graph(sess.graph, tags, import_scope, saver_kwargs) self.restore_variables(sess, saver, import_scope) self.run_init_ops(sess, tags, import_scope) return self.get_meta_graph_def_from_tags(tags)	[ "def", "load", "(", "self", ",", "sess", ",", "tags", ",", "import_scope", "=", "None", ",", "", "", "saver_kwargs", ")", ":", "with", "sess", ".", "graph", ".", "as_default", "(", ")", ":", "saver", ",", "_", "=", "self", ".", "load_graph", "(", "sess", ".", "graph", ",", "tags", ",", "import_scope", ",", "", "", "saver_kwargs", ")", "self", ".", "restore_variables", "(", "sess", ",", "saver", ",", "import_scope", ")", "self", ".", "run_init_ops", "(", "sess", ",", "tags", ",", "import_scope", ")", "return", "self", ".", "get_meta_graph_def_from_tags", "(", "tags", ")" ]	https://github.com/Xilinx/Vitis-AI/blob/fc74d404563d9951b57245443c73bef389f3657f/tools/Vitis-AI-Quantizer/vai_q_tensorflow1.x/tensorflow/python/saved_model/loader_impl.py#L405-L425
apple/turicreate	cce55aa5311300e3ce6af93cb45ba791fd1bdf49	deps/src/libxml2-2.9.1/python/libxml2class.py	python	xmlDoc.newDocTextLen	(self, content, len)	return __tmp	Creation of a new text node with an extra content length parameter. The text node pertain to a given document.	Creation of a new text node with an extra content length parameter. The text node pertain to a given document.	[ "Creation", "of", "a", "new", "text", "node", "with", "an", "extra", "content", "length", "parameter", ".", "The", "text", "node", "pertain", "to", "a", "given", "document", "." ]	def newDocTextLen(self, content, len): """Creation of a new text node with an extra content length parameter. The text node pertain to a given document. """ ret = libxml2mod.xmlNewDocTextLen(self._o, content, len) if ret is None:raise treeError('xmlNewDocTextLen() failed') __tmp = xmlNode(_obj=ret) return __tmp	[ "def", "newDocTextLen", "(", "self", ",", "content", ",", "len", ")", ":", "ret", "=", "libxml2mod", ".", "xmlNewDocTextLen", "(", "self", ".", "_o", ",", "content", ",", "len", ")", "if", "ret", "is", "None", ":", "raise", "treeError", "(", "'xmlNewDocTextLen() failed'", ")", "__tmp", "=", "xmlNode", "(", "_obj", "=", "ret", ")", "return", "__tmp" ]	https://github.com/apple/turicreate/blob/cce55aa5311300e3ce6af93cb45ba791fd1bdf49/deps/src/libxml2-2.9.1/python/libxml2class.py#L3601-L3607
aws/lumberyard	f85344403c1c2e77ec8c75deb2c116e97b713217	dev/Tools/Python/3.7.10/mac/Python.framework/Versions/3.7/lib/python3.7/site-packages/setuptools/package_index.py	python	find_external_links	(url, page)		Find rel="homepage" and rel="download" links in `page`, yielding URLs	Find rel="homepage" and rel="download" links in `page`, yielding URLs	[ "Find", "rel", "=", "homepage", "and", "rel", "=", "download", "links", "in", "page", "yielding", "URLs" ]	def find_external_links(url, page): """Find rel="homepage" and rel="download" links in `page`, yielding URLs""" for match in REL.finditer(page): tag, rel = match.groups() rels = set(map(str.strip, rel.lower().split(','))) if 'homepage' in rels or 'download' in rels: for match in HREF.finditer(tag): yield urllib.parse.urljoin(url, htmldecode(match.group(1))) for tag in ("<th>Home Page", "<th>Download URL"): pos = page.find(tag) if pos != -1: match = HREF.search(page, pos) if match: yield urllib.parse.urljoin(url, htmldecode(match.group(1)))	[ "def", "find_external_links", "(", "url", ",", "page", ")", ":", "for", "match", "in", "REL", ".", "finditer", "(", "page", ")", ":", "tag", ",", "rel", "=", "match", ".", "groups", "(", ")", "rels", "=", "set", "(", "map", "(", "str", ".", "strip", ",", "rel", ".", "lower", "(", ")", ".", "split", "(", "','", ")", ")", ")", "if", "'homepage'", "in", "rels", "or", "'download'", "in", "rels", ":", "for", "match", "in", "HREF", ".", "finditer", "(", "tag", ")", ":", "yield", "urllib", ".", "parse", ".", "urljoin", "(", "url", ",", "htmldecode", "(", "match", ".", "group", "(", "1", ")", ")", ")", "for", "tag", "in", "(", "\"<th>Home Page\"", ",", "\"<th>Download URL\"", ")", ":", "pos", "=", "page", ".", "find", "(", "tag", ")", "if", "pos", "!=", "-", "1", ":", "match", "=", "HREF", ".", "search", "(", "page", ",", "pos", ")", "if", "match", ":", "yield", "urllib", ".", "parse", ".", "urljoin", "(", "url", ",", "htmldecode", "(", "match", ".", "group", "(", "1", ")", ")", ")" ]	https://github.com/aws/lumberyard/blob/f85344403c1c2e77ec8c75deb2c116e97b713217/dev/Tools/Python/3.7.10/mac/Python.framework/Versions/3.7/lib/python3.7/site-packages/setuptools/package_index.py#L223-L238
aws/lumberyard	f85344403c1c2e77ec8c75deb2c116e97b713217	dev/Tools/Python/3.7.10/mac/Python.framework/Versions/3.7/lib/python3.7/lib2to3/pytree.py	python	Node.clone	(self)	return Node(self.type, [ch.clone() for ch in self.children], fixers_applied=self.fixers_applied)	Return a cloned (deep) copy of self.	Return a cloned (deep) copy of self.	[ "Return", "a", "cloned", "(", "deep", ")", "copy", "of", "self", "." ]	def clone(self): """Return a cloned (deep) copy of self.""" return Node(self.type, [ch.clone() for ch in self.children], fixers_applied=self.fixers_applied)	[ "def", "clone", "(", "self", ")", ":", "return", "Node", "(", "self", ".", "type", ",", "[", "ch", ".", "clone", "(", ")", "for", "ch", "in", "self", ".", "children", "]", ",", "fixers_applied", "=", "self", ".", "fixers_applied", ")" ]	https://github.com/aws/lumberyard/blob/f85344403c1c2e77ec8c75deb2c116e97b713217/dev/Tools/Python/3.7.10/mac/Python.framework/Versions/3.7/lib/python3.7/lib2to3/pytree.py#L257-L260
mapsme/omim	1892903b63f2c85b16ed4966d21fe76aba06b9ba	tools/python/stylesheet/webcolors/webcolors.py	python	rgb_percent_to_rgb	(rgb_percent_triplet)	return tuple(map(_percent_to_integer, rgb_percent_triplet))	Convert a 3-tuple of percentages, suitable for use in an ``rgb()`` color triplet, to a 3-tuple of integers suitable for use in representing that color. Some precision may be lost in this conversion. See the note regarding precision for ``rgb_to_rgb_percent()`` for details; generally speaking, the following is true for any 3-tuple ``t`` of integers in the range 0...255 inclusive:: t == rgb_percent_to_rgb(rgb_to_rgb_percent(t)) Examples: >>> rgb_percent_to_rgb(('100%', '100%', '100%')) (255, 255, 255) >>> rgb_percent_to_rgb(('0%', '0%', '50%')) (0, 0, 128) >>> rgb_percent_to_rgb(('25%', '12.5%', '6.25%')) (64, 32, 16) >>> rgb_percent_to_rgb(('12.94%', '21.96%', '75.29%')) (33, 56, 192)	Convert a 3-tuple of percentages, suitable for use in an ``rgb()`` color triplet, to a 3-tuple of integers suitable for use in representing that color.	[ "Convert", "a", "3", "-", "tuple", "of", "percentages", "suitable", "for", "use", "in", "an", "rgb", "()", "color", "triplet", "to", "a", "3", "-", "tuple", "of", "integers", "suitable", "for", "use", "in", "representing", "that", "color", "." ]	def rgb_percent_to_rgb(rgb_percent_triplet): """ Convert a 3-tuple of percentages, suitable for use in an ``rgb()`` color triplet, to a 3-tuple of integers suitable for use in representing that color. Some precision may be lost in this conversion. See the note regarding precision for ``rgb_to_rgb_percent()`` for details; generally speaking, the following is true for any 3-tuple ``t`` of integers in the range 0...255 inclusive:: t == rgb_percent_to_rgb(rgb_to_rgb_percent(t)) Examples: >>> rgb_percent_to_rgb(('100%', '100%', '100%')) (255, 255, 255) >>> rgb_percent_to_rgb(('0%', '0%', '50%')) (0, 0, 128) >>> rgb_percent_to_rgb(('25%', '12.5%', '6.25%')) (64, 32, 16) >>> rgb_percent_to_rgb(('12.94%', '21.96%', '75.29%')) (33, 56, 192) """ return tuple(map(_percent_to_integer, rgb_percent_triplet))	[ "def", "rgb_percent_to_rgb", "(", "rgb_percent_triplet", ")", ":", "return", "tuple", "(", "map", "(", "_percent_to_integer", ",", "rgb_percent_triplet", ")", ")" ]	https://github.com/mapsme/omim/blob/1892903b63f2c85b16ed4966d21fe76aba06b9ba/tools/python/stylesheet/webcolors/webcolors.py#L818-L843
wlanjie/AndroidFFmpeg	7baf9122f4b8e1c74e7baf4be5c422c7a5ba5aaf	tools/fdk-aac-build/armeabi-v7a/toolchain/lib/python2.7/plistlib.py	python	Plist.write	(self, pathOrFile)		Deprecated. Use the writePlist() function instead.	Deprecated. Use the writePlist() function instead.	[ "Deprecated", ".", "Use", "the", "writePlist", "()", "function", "instead", "." ]	def write(self, pathOrFile): """Deprecated. Use the writePlist() function instead.""" writePlist(self, pathOrFile)	[ "def", "write", "(", "self", ",", "pathOrFile", ")", ":", "writePlist", "(", "self", ",", "pathOrFile", ")" ]	https://github.com/wlanjie/AndroidFFmpeg/blob/7baf9122f4b8e1c74e7baf4be5c422c7a5ba5aaf/tools/fdk-aac-build/armeabi-v7a/toolchain/lib/python2.7/plistlib.py#L351-L353
mingchen/protobuf-ios	0958df34558cd54cb7b6e6ca5c8855bf3d475046	compiler/python/mox.py	python	MockMethod._VerifyMethodCall	(self)	return expected	Verify the called method is expected. This can be an ordered method, or part of an unordered set. Returns: The expected mock method. Raises: UnexpectedMethodCall if the method called was not expected.	Verify the called method is expected.	[ "Verify", "the", "called", "method", "is", "expected", "." ]	def _VerifyMethodCall(self): """Verify the called method is expected. This can be an ordered method, or part of an unordered set. Returns: The expected mock method. Raises: UnexpectedMethodCall if the method called was not expected. """ expected = self._PopNextMethod() # Loop here, because we might have a MethodGroup followed by another # group. while isinstance(expected, MethodGroup): expected, method = expected.MethodCalled(self) if method is not None: return method # This is a mock method, so just check equality. if expected != self: raise UnexpectedMethodCallError(self, expected) return expected	[ "def", "_VerifyMethodCall", "(", "self", ")", ":", "expected", "=", "self", ".", "_PopNextMethod", "(", ")", "# Loop here, because we might have a MethodGroup followed by another", "# group.", "while", "isinstance", "(", "expected", ",", "MethodGroup", ")", ":", "expected", ",", "method", "=", "expected", ".", "MethodCalled", "(", "self", ")", "if", "method", "is", "not", "None", ":", "return", "method", "# This is a mock method, so just check equality.", "if", "expected", "!=", "self", ":", "raise", "UnexpectedMethodCallError", "(", "self", ",", "expected", ")", "return", "expected" ]	https://github.com/mingchen/protobuf-ios/blob/0958df34558cd54cb7b6e6ca5c8855bf3d475046/compiler/python/mox.py#L588-L613
wxWidgets/wxPython-Classic	19571e1ae65f1ac445f5491474121998c97a1bf0	src/osx_carbon/_misc.py	python	Log_GetRepetitionCounting	(*args)	return _misc_.Log_GetRepetitionCounting(*args)	Log_GetRepetitionCounting() -> bool	Log_GetRepetitionCounting() -> bool	[ "Log_GetRepetitionCounting", "()", "-", ">", "bool" ]	def Log_GetRepetitionCounting(args): """Log_GetRepetitionCounting() -> bool""" return _misc_.Log_GetRepetitionCounting(args)	[ "def", "Log_GetRepetitionCounting", "(", "", "args", ")", ":", "return", "_misc_", ".", "Log_GetRepetitionCounting", "(", "", "args", ")" ]	https://github.com/wxWidgets/wxPython-Classic/blob/19571e1ae65f1ac445f5491474121998c97a1bf0/src/osx_carbon/_misc.py#L1692-L1694
apple/swift-lldb	d74be846ef3e62de946df343e8c234bde93a8912	scripts/Python/static-binding/lldb.py	python	SBThread.StepUsingScriptedThreadPlan	(self, *args)	return _lldb.SBThread_StepUsingScriptedThreadPlan(self, *args)	StepUsingScriptedThreadPlan(SBThread self, char const * script_class_name) -> SBError StepUsingScriptedThreadPlan(SBThread self, char const * script_class_name, bool resume_immediately) -> SBError	StepUsingScriptedThreadPlan(SBThread self, char const * script_class_name) -> SBError StepUsingScriptedThreadPlan(SBThread self, char const * script_class_name, bool resume_immediately) -> SBError	[ "StepUsingScriptedThreadPlan", "(", "SBThread", "self", "char", "const", "", "script_class_name", ")", "-", ">", "SBError", "StepUsingScriptedThreadPlan", "(", "SBThread", "self", "char", "const", "", "script_class_name", "bool", "resume_immediately", ")", "-", ">", "SBError" ]	def StepUsingScriptedThreadPlan(self, args): """ StepUsingScriptedThreadPlan(SBThread self, char const script_class_name) -> SBError StepUsingScriptedThreadPlan(SBThread self, char const * script_class_name, bool resume_immediately) -> SBError """ return _lldb.SBThread_StepUsingScriptedThreadPlan(self, *args)	[ "def", "StepUsingScriptedThreadPlan", "(", "self", ",", "", "args", ")", ":", "return", "_lldb", ".", "SBThread_StepUsingScriptedThreadPlan", "(", "self", ",", "", "args", ")" ]	https://github.com/apple/swift-lldb/blob/d74be846ef3e62de946df343e8c234bde93a8912/scripts/Python/static-binding/lldb.py#L11742-L11747
facebookresearch/ELF	1f790173095cd910976d9f651b80beb872ec5d12	vendor/pybind11/tools/clang/cindex.py	python	Cursor.enum_value	(self)	return self._enum_value	Return the value of an enum constant.	Return the value of an enum constant.	[ "Return", "the", "value", "of", "an", "enum", "constant", "." ]	def enum_value(self): """Return the value of an enum constant.""" if not hasattr(self, '_enum_value'): assert self.kind == CursorKind.ENUM_CONSTANT_DECL # Figure out the underlying type of the enum to know if it # is a signed or unsigned quantity. underlying_type = self.type if underlying_type.kind == TypeKind.ENUM: underlying_type = underlying_type.get_declaration().enum_type if underlying_type.kind in (TypeKind.CHAR_U, TypeKind.UCHAR, TypeKind.CHAR16, TypeKind.CHAR32, TypeKind.USHORT, TypeKind.UINT, TypeKind.ULONG, TypeKind.ULONGLONG, TypeKind.UINT128): self._enum_value = \ conf.lib.clang_getEnumConstantDeclUnsignedValue(self) else: self._enum_value = conf.lib.clang_getEnumConstantDeclValue(self) return self._enum_value	[ "def", "enum_value", "(", "self", ")", ":", "if", "not", "hasattr", "(", "self", ",", "'_enum_value'", ")", ":", "assert", "self", ".", "kind", "==", "CursorKind", ".", "ENUM_CONSTANT_DECL", "# Figure out the underlying type of the enum to know if it", "# is a signed or unsigned quantity.", "underlying_type", "=", "self", ".", "type", "if", "underlying_type", ".", "kind", "==", "TypeKind", ".", "ENUM", ":", "underlying_type", "=", "underlying_type", ".", "get_declaration", "(", ")", ".", "enum_type", "if", "underlying_type", ".", "kind", "in", "(", "TypeKind", ".", "CHAR_U", ",", "TypeKind", ".", "UCHAR", ",", "TypeKind", ".", "CHAR16", ",", "TypeKind", ".", "CHAR32", ",", "TypeKind", ".", "USHORT", ",", "TypeKind", ".", "UINT", ",", "TypeKind", ".", "ULONG", ",", "TypeKind", ".", "ULONGLONG", ",", "TypeKind", ".", "UINT128", ")", ":", "self", ".", "_enum_value", "=", "conf", ".", "lib", ".", "clang_getEnumConstantDeclUnsignedValue", "(", "self", ")", "else", ":", "self", ".", "_enum_value", "=", "conf", ".", "lib", ".", "clang_getEnumConstantDeclValue", "(", "self", ")", "return", "self", ".", "_enum_value" ]	https://github.com/facebookresearch/ELF/blob/1f790173095cd910976d9f651b80beb872ec5d12/vendor/pybind11/tools/clang/cindex.py#L1531-L1553
krishauser/Klampt	972cc83ea5befac3f653c1ba20f80155768ad519	Python/python2_version/klampt/src/robotsim.py	python	RobotModelLink.getAngularAcceleration	(self, ddq)	return _robotsim.RobotModelLink_getAngularAcceleration(self, ddq)	getAngularAcceleration(RobotModelLink self, doubleVector ddq) Returns the angular acceleration of the link given the robot's current joint configuration and velocities, and the joint accelerations ddq. Returns: (list of 3 floats): the angular acceleration of the link, in world coordinates.	getAngularAcceleration(RobotModelLink self, doubleVector ddq)	[ "getAngularAcceleration", "(", "RobotModelLink", "self", "doubleVector", "ddq", ")" ]	def getAngularAcceleration(self, ddq): """ getAngularAcceleration(RobotModelLink self, doubleVector ddq) Returns the angular acceleration of the link given the robot's current joint configuration and velocities, and the joint accelerations ddq. Returns: (list of 3 floats): the angular acceleration of the link, in world coordinates. """ return _robotsim.RobotModelLink_getAngularAcceleration(self, ddq)	[ "def", "getAngularAcceleration", "(", "self", ",", "ddq", ")", ":", "return", "_robotsim", ".", "RobotModelLink_getAngularAcceleration", "(", "self", ",", "ddq", ")" ]	https://github.com/krishauser/Klampt/blob/972cc83ea5befac3f653c1ba20f80155768ad519/Python/python2_version/klampt/src/robotsim.py#L4166-L4181
aws/lumberyard	f85344403c1c2e77ec8c75deb2c116e97b713217	dev/Tools/Python/3.7.10/windows/Lib/site-packages/urllib3/response.py	python	HTTPResponse._init_decoder	(self)		Set-up the _decoder attribute if necessary.	Set-up the _decoder attribute if necessary.	[ "Set", "-", "up", "the", "_decoder", "attribute", "if", "necessary", "." ]	def _init_decoder(self): """ Set-up the _decoder attribute if necessary. """ # Note: content-encoding value should be case-insensitive, per RFC 7230 # Section 3.2 content_encoding = self.headers.get("content-encoding", "").lower() if self._decoder is None: if content_encoding in self.CONTENT_DECODERS: self._decoder = _get_decoder(content_encoding) elif "," in content_encoding: encodings = [ e.strip() for e in content_encoding.split(",") if e.strip() in self.CONTENT_DECODERS ] if len(encodings): self._decoder = _get_decoder(content_encoding)	[ "def", "_init_decoder", "(", "self", ")", ":", "# Note: content-encoding value should be case-insensitive, per RFC 7230", "# Section 3.2", "content_encoding", "=", "self", ".", "headers", ".", "get", "(", "\"content-encoding\"", ",", "\"\"", ")", ".", "lower", "(", ")", "if", "self", ".", "_decoder", "is", "None", ":", "if", "content_encoding", "in", "self", ".", "CONTENT_DECODERS", ":", "self", ".", "_decoder", "=", "_get_decoder", "(", "content_encoding", ")", "elif", "\",\"", "in", "content_encoding", ":", "encodings", "=", "[", "e", ".", "strip", "(", ")", "for", "e", "in", "content_encoding", ".", "split", "(", "\",\"", ")", "if", "e", ".", "strip", "(", ")", "in", "self", ".", "CONTENT_DECODERS", "]", "if", "len", "(", "encodings", ")", ":", "self", ".", "_decoder", "=", "_get_decoder", "(", "content_encoding", ")" ]	https://github.com/aws/lumberyard/blob/f85344403c1c2e77ec8c75deb2c116e97b713217/dev/Tools/Python/3.7.10/windows/Lib/site-packages/urllib3/response.py#L356-L373
windystrife/UnrealEngine_NVIDIAGameWorks	b50e6338a7c5b26374d66306ebc7807541ff815e	Engine/Extras/ThirdPartyNotUE/emsdk/Win64/python/2.7.5.3_64bit/Lib/email/encoders.py	python	encode_base64	(msg)		Encode the message's payload in Base64. Also, add an appropriate Content-Transfer-Encoding header.	Encode the message's payload in Base64.	[ "Encode", "the", "message", "s", "payload", "in", "Base64", "." ]	def encode_base64(msg): """Encode the message's payload in Base64. Also, add an appropriate Content-Transfer-Encoding header. """ orig = msg.get_payload() encdata = _bencode(orig) msg.set_payload(encdata) msg['Content-Transfer-Encoding'] = 'base64'	[ "def", "encode_base64", "(", "msg", ")", ":", "orig", "=", "msg", ".", "get_payload", "(", ")", "encdata", "=", "_bencode", "(", "orig", ")", "msg", ".", "set_payload", "(", "encdata", ")", "msg", "[", "'Content-Transfer-Encoding'", "]", "=", "'base64'" ]	https://github.com/windystrife/UnrealEngine_NVIDIAGameWorks/blob/b50e6338a7c5b26374d66306ebc7807541ff815e/Engine/Extras/ThirdPartyNotUE/emsdk/Win64/python/2.7.5.3_64bit/Lib/email/encoders.py#L39-L47
GJDuck/LowFat	ecf6a0f0fa1b73a27a626cf493cc39e477b6faea	llvm-4.0.0.src/projects/compiler-rt/lib/sanitizer_common/scripts/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') 'foo/foo_unusualinternal' Args: filename: The input filename. Returns: The filename with the common suffix removed.	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' >>> _DropCommonSuffixes('foo/foo_unusualinternal.h') 'foo/foo_unusualinternal' Args: filename: The input filename. Returns: The filename with the common suffix removed. """ for suffix in ('test.cc', 'regtest.cc', 'unittest.cc', 'inl.h', 'impl.h', 'internal.h'): if (filename.endswith(suffix) and len(filename) > len(suffix) and filename[-len(suffix) - 1] in ('-', '_')): return filename[:-len(suffix) - 1] return os.path.splitext(filename)[0]	[ "def", "_DropCommonSuffixes", "(", "filename", ")", ":", "for", "suffix", "in", "(", "'test.cc'", ",", "'regtest.cc'", ",", "'unittest.cc'", ",", "'inl.h'", ",", "'impl.h'", ",", "'internal.h'", ")", ":", "if", "(", "filename", ".", "endswith", "(", "suffix", ")", "and", "len", "(", "filename", ")", ">", "len", "(", "suffix", ")", "and", "filename", "[", "-", "len", "(", "suffix", ")", "-", "1", "]", "in", "(", "'-'", ",", "'_'", ")", ")", ":", "return", "filename", "[", ":", "-", "len", "(", "suffix", ")", "-", "1", "]", "return", "os", ".", "path", ".", "splitext", "(", "filename", ")", "[", "0", "]" ]	https://github.com/GJDuck/LowFat/blob/ecf6a0f0fa1b73a27a626cf493cc39e477b6faea/llvm-4.0.0.src/projects/compiler-rt/lib/sanitizer_common/scripts/cpplint.py#L2913-L2937
BitMEX/api-connectors	37a3a5b806ad5d0e0fc975ab86d9ed43c3bcd812	auto-generated/python/swagger_client/models/position.py	python	Position.pos_init	(self)	return self._pos_init	Gets the pos_init of this Position. # noqa: E501 :return: The pos_init of this Position. # noqa: E501 :rtype: float	Gets the pos_init of this Position. # noqa: E501	[ "Gets", "the", "pos_init", "of", "this", "Position", ".", "#", "noqa", ":", "E501" ]	def pos_init(self): """Gets the pos_init of this Position. # noqa: E501 :return: The pos_init of this Position. # noqa: E501 :rtype: float """ return self._pos_init	[ "def", "pos_init", "(", "self", ")", ":", "return", "self", ".", "_pos_init" ]	https://github.com/BitMEX/api-connectors/blob/37a3a5b806ad5d0e0fc975ab86d9ed43c3bcd812/auto-generated/python/swagger_client/models/position.py#L1596-L1603
Xilinx/Vitis-AI	fc74d404563d9951b57245443c73bef389f3657f	tools/Vitis-AI-Quantizer/vai_q_tensorflow1.x/tensorflow/python/debug/lib/grpc_debug_server.py	python	EventListenerBaseStreamHandler.on_value_event	(self, event)		Callback for Event proto received through the gRPC stream. This Event proto carries a Tensor in its summary.value[0] field. Args: event: The Event proto from the stream to be processed.	Callback for Event proto received through the gRPC stream.	[ "Callback", "for", "Event", "proto", "received", "through", "the", "gRPC", "stream", "." ]	def on_value_event(self, event): """Callback for Event proto received through the gRPC stream. This Event proto carries a Tensor in its summary.value[0] field. Args: event: The Event proto from the stream to be processed. """ raise NotImplementedError( "on_value_event() is not implemented in the base servicer class")	[ "def", "on_value_event", "(", "self", ",", "event", ")", ":", "raise", "NotImplementedError", "(", "\"on_value_event() is not implemented in the base servicer class\"", ")" ]	https://github.com/Xilinx/Vitis-AI/blob/fc74d404563d9951b57245443c73bef389f3657f/tools/Vitis-AI-Quantizer/vai_q_tensorflow1.x/tensorflow/python/debug/lib/grpc_debug_server.py#L91-L100

vmtk/vmtk

927331ad752265199390eabbbf2e07cdc2b4bcc6

vtkVmtk/Utilities/Stellar_1.0/meshconvert.py

python

writeOFF

(verts, tris, outFileName)

write out an OFF file from a list of vertices and triangles

[ "write", "out", "an", "OFF", "file", "from", "a", "list", "of", "vertices", "and", "triangles" ]

def writeOFF(verts, tris, outFileName): """write out an OFF file from a list of vertices and triangles""" outFileName += '.off' outfile = open(outFileName, 'w') # write header lines outfile.write('OFF\n') outfile.write('%d %d 0\n' % (len(verts), len(tris))) for vert in verts: #print "vert:", vert outfile.write('%g %g %g\n' % (vert[0], vert[1], vert[2])) for tri in tris: outfile.write('3 %d %d %d\n' % (tri[0], tri[1], tri[2])) outfile.close()

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https://github.com/vmtk/vmtk/blob/927331ad752265199390eabbbf2e07cdc2b4bcc6/vtkVmtk/Utilities/Stellar_1.0/meshconvert.py#L751-L766

limbo018/DREAMPlace

146c3b9fd003d1acd52c96d9fd02e3f0a05154e4

dreamplace/ops/dct/discrete_spectral_transform.py

python

idct_2N

(x, expk=None)

return y

Batch Inverse Discrete Cosine Transformation without normalization to coefficients. Compute y_u = \sum_i x_i cos(pi*(2u+1)*i/(2N)), Impelements the 2N padding trick to solve IDCT with IFFT in the following link, https://github.com/tensorflow/tensorflow/blob/r1.10/tensorflow/python/ops/spectral_ops.py 1. Multiply by 2*exp(1j*pi*u/(2N)) 2. Pad x by zeros 3. Perform IFFT 4. Extract the real part

Batch Inverse Discrete Cosine Transformation without normalization to coefficients. Compute y_u = \sum_i x_i cos(pi*(2u+1)*i/(2N)), Impelements the 2N padding trick to solve IDCT with IFFT in the following link, https://github.com/tensorflow/tensorflow/blob/r1.10/tensorflow/python/ops/spectral_ops.py

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def idct_2N(x, expk=None): """ Batch Inverse Discrete Cosine Transformation without normalization to coefficients. Compute y_u = \sum_i x_i cos(pi*(2u+1)*i/(2N)), Impelements the 2N padding trick to solve IDCT with IFFT in the following link, https://github.com/tensorflow/tensorflow/blob/r1.10/tensorflow/python/ops/spectral_ops.py 1. Multiply by 2*exp(1j*pi*u/(2N)) 2. Pad x by zeros 3. Perform IFFT 4. Extract the real part """ # last dimension N = x.size(-1) if expk is None: expk = get_expk(N, dtype=x.dtype, device=x.device) # multiply by 2*exp(1j*pi*u/(2N)) x_pad = x.unsqueeze(-1).mul(expk) # pad second last dimension, excluding the complex number dimension x_pad = F.pad(x_pad, (0, 0, 0, N), 'constant', 0) if len(x.size()) == 1: x_pad.unsqueeze_(0) # the last dimension here becomes -2 because complex numbers introduce a new dimension y = torch_fft_api.irfft(x_pad, signal_ndim=1, normalized=False, onesided=False, signal_sizes=[2*N])[..., 0:N] y.mul_(N) if len(x.size()) == 1: y.squeeze_(0) return y

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https://github.com/limbo018/DREAMPlace/blob/146c3b9fd003d1acd52c96d9fd02e3f0a05154e4/dreamplace/ops/dct/discrete_spectral_transform.py#L153-L185

generalized-intelligence/GAAS

29ab17d3e8a4ba18edef3a57c36d8db6329fac73

algorithms/src/LocalizationAndMapping/registration_localization/fast_gicp/thirdparty/Sophus/py/sophus/se3.py

python

Se3.__getitem__

(self, key)

We use the following convention [q0, q1, q2, q3, t0, t1, t2]

[ "We", "use", "the", "following", "convention", "[", "q0", "q1", "q2", "q3", "t0", "t1", "t2", "]" ]

def __getitem__(self, key): """ We use the following convention [q0, q1, q2, q3, t0, t1, t2] """ assert (key >= 0 and key < 7) if key < 4: return self.so3[key] else: return self.t[key - 4]

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https://github.com/generalized-intelligence/GAAS/blob/29ab17d3e8a4ba18edef3a57c36d8db6329fac73/algorithms/src/LocalizationAndMapping/registration_localization/fast_gicp/thirdparty/Sophus/py/sophus/se3.py#L96-L102

VAR-solutions/Algorithms

4ad6773e9675ef35aa858ca3969be5ddf6e3daea

LinkedList/LinkedListModule.py

python

LinkedList.getNodeCount

(self,value)

return NodeCount

returns the number of nodes containing a particular value

[ "returns", "the", "number", "of", "nodes", "containing", "a", "particular", "value" ]

def getNodeCount(self,value): """returns the number of nodes containing a particular value""" CurrentNode = self.head NodeCount = 0 while CurrentNode is not None: if CurrentNode.data == value: NodeCount += 1 CurrentNode = CurrentNode.next return NodeCount

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https://github.com/VAR-solutions/Algorithms/blob/4ad6773e9675ef35aa858ca3969be5ddf6e3daea/LinkedList/LinkedListModule.py#L147-L158

Polidea/SiriusObfuscator

b0e590d8130e97856afe578869b83a209e2b19be

SymbolExtractorAndRenamer/lldb/scripts/Python/static-binding/lldb.py

python

SBSymbolContext.SetFunction

(self, *args)

return _lldb.SBSymbolContext_SetFunction(self, *args)

SetFunction(self, SBFunction function)

[ "SetFunction", "(", "self", "SBFunction", "function", ")" ]

def SetFunction(self, *args): """SetFunction(self, SBFunction function)""" return _lldb.SBSymbolContext_SetFunction(self, *args)

[ "def", "SetFunction", "(", "self", ",", "*", "args", ")", ":", "return", "_lldb", ".", "SBSymbolContext_SetFunction", "(", "self", ",", "*", "args", ")" ]

https://github.com/Polidea/SiriusObfuscator/blob/b0e590d8130e97856afe578869b83a209e2b19be/SymbolExtractorAndRenamer/lldb/scripts/Python/static-binding/lldb.py#L8292-L8294

swift/swift

12d031cf8177fdec0137f9aa7e2912fa23c4416b

3rdParty/SCons/scons-3.0.1/engine/SCons/Tool/lex.py

python

generate

(env)

Add Builders and construction variables for lex to an Environment.

[ "Add", "Builders", "and", "construction", "variables", "for", "lex", "to", "an", "Environment", "." ]

def generate(env): """Add Builders and construction variables for lex to an Environment.""" c_file, cxx_file = SCons.Tool.createCFileBuilders(env) # C c_file.add_action(".l", LexAction) c_file.add_emitter(".l", lexEmitter) c_file.add_action(".lex", LexAction) c_file.add_emitter(".lex", lexEmitter) # Objective-C cxx_file.add_action(".lm", LexAction) cxx_file.add_emitter(".lm", lexEmitter) # C++ cxx_file.add_action(".ll", LexAction) cxx_file.add_emitter(".ll", lexEmitter) env["LEX"] = env.Detect("flex") or "lex" env["LEXFLAGS"] = SCons.Util.CLVar("") env["LEXCOM"] = "$LEX $LEXFLAGS -t $SOURCES > $TARGET"

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https://github.com/swift/swift/blob/12d031cf8177fdec0137f9aa7e2912fa23c4416b/3rdParty/SCons/scons-3.0.1/engine/SCons/Tool/lex.py#L67-L88

apple/turicreate

cce55aa5311300e3ce6af93cb45ba791fd1bdf49

deps/src/libxml2-2.9.1/python/libxml2class.py

python

xmlTextReader.BaseUri

(self)

return ret

The base URI of the node.

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def BaseUri(self): """The base URI of the node. """ ret = libxml2mod.xmlTextReaderConstBaseUri(self._o) return ret

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https://github.com/apple/turicreate/blob/cce55aa5311300e3ce6af93cb45ba791fd1bdf49/deps/src/libxml2-2.9.1/python/libxml2class.py#L5748-L5751

qgis/QGIS

15a77662d4bb712184f6aa60d0bd663010a76a75

python/utils.py

python

loadPlugin

(packageName: str)

load plugin's package

[ "load", "plugin", "s", "package" ]

def loadPlugin(packageName: str) -> bool: """ load plugin's package """ try: __import__(packageName) return True except: pass # continue... # snake in the grass, we know it's there sys.path_importer_cache.clear() # retry try: __import__(packageName) return True except: msg = QCoreApplication.translate("Python", "Couldn't load plugin '{0}'").format(packageName) showException(sys.exc_info()[0], sys.exc_info()[1], sys.exc_info()[2], msg, messagebar=True, level=Qgis.Critical) return False

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https://github.com/qgis/QGIS/blob/15a77662d4bb712184f6aa60d0bd663010a76a75/python/utils.py#L387-L406

chromiumembedded/cef

80caf947f3fe2210e5344713c5281d8af9bdc295

tools/cef_parser.py

python

obj_header.get_class

(self, classname, defined_structs=None)

return None

Return the specified class or None if not found.

[ "Return", "the", "specified", "class", "or", "None", "if", "not", "found", "." ]

def get_class(self, classname, defined_structs=None): """ Return the specified class or None if not found. """ for cls in self.classes: if cls.get_name() == classname: return cls elif not defined_structs is None: defined_structs.append(cls.get_capi_name()) return None

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https://github.com/chromiumembedded/cef/blob/80caf947f3fe2210e5344713c5281d8af9bdc295/tools/cef_parser.py#L718-L725

SequoiaDB/SequoiaDB

2894ed7e5bd6fe57330afc900cf76d0ff0df9f64

tools/server/php_linux/libxml2/lib/python2.4/site-packages/libxml2.py

python

newCatalog

(sgml)

return catalog(_obj=ret)

create a new Catalog.

[ "create", "a", "new", "Catalog", "." ]

def newCatalog(sgml): """create a new Catalog. """ ret = libxml2mod.xmlNewCatalog(sgml) if ret is None:raise treeError('xmlNewCatalog() failed') return catalog(_obj=ret)

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https://github.com/SequoiaDB/SequoiaDB/blob/2894ed7e5bd6fe57330afc900cf76d0ff0df9f64/tools/server/php_linux/libxml2/lib/python2.4/site-packages/libxml2.py#L954-L958

lukasmonk/lucaschess

13e2e5cb13b38a720ccf897af649054a64bcb914

Code/QT/Grid.py

python

Grid.recno

(self)

return n if n <= nX else nX

Devuelve la fila actual.

[ "Devuelve", "la", "fila", "actual", "." ]

def recno(self): """ Devuelve la fila actual. """ n = self.currentIndex().row() nX = self.cg.numDatos - 1 return n if n <= nX else nX

[ "def", "recno", "(", "self", ")", ":", "n", "=", "self", ".", "currentIndex", "(", ")", ".", "row", "(", ")", "nX", "=", "self", ".", "cg", ".", "numDatos", "-", "1", "return", "n", "if", "n", "<=", "nX", "else", "nX" ]

https://github.com/lukasmonk/lucaschess/blob/13e2e5cb13b38a720ccf897af649054a64bcb914/Code/QT/Grid.py#L441-L447

y123456yz/reading-and-annotate-mongodb-3.6

93280293672ca7586dc24af18132aa61e4ed7fcf

mongo/buildscripts/idl/idl/errors.py

python

ParserError.__str__

(self)

return msg

Return a formatted error. Example error message: test.idl: (17, 4): ID0008: Unknown IDL node 'cpp_namespac' for YAML entity 'global'.

Return a formatted error.

[ "Return", "a", "formatted", "error", "." ]

def __str__(self): # type: () -> str """ Return a formatted error. Example error message: test.idl: (17, 4): ID0008: Unknown IDL node 'cpp_namespac' for YAML entity 'global'. """ msg = "%s: (%d, %d): %s: %s" % (os.path.basename(self.file_name), self.line, self.column, self.error_id, self.msg) return msg

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https://github.com/y123456yz/reading-and-annotate-mongodb-3.6/blob/93280293672ca7586dc24af18132aa61e4ed7fcf/mongo/buildscripts/idl/idl/errors.py#L113-L123

mantidproject/mantid

03deeb89254ec4289edb8771e0188c2090a02f32

qt/python/mantidqtinterfaces/mantidqtinterfaces/Muon/GUI/Common/utilities/table_utils.py

python

DoubleItemDelegate.convert_for_display

(number)

return str(float(number))

need to convert to a float then back to a string to make sure it always has scientific notation

[ "need", "to", "convert", "to", "a", "float", "then", "back", "to", "a", "string", "to", "make", "sure", "it", "always", "has", "scientific", "notation" ]

def convert_for_display(number): """need to convert to a float then back to a string to make sure it always has scientific notation""" return str(float(number))

[ "def", "convert_for_display", "(", "number", ")", ":", "return", "str", "(", "float", "(", "number", ")", ")" ]

https://github.com/mantidproject/mantid/blob/03deeb89254ec4289edb8771e0188c2090a02f32/qt/python/mantidqtinterfaces/mantidqtinterfaces/Muon/GUI/Common/utilities/table_utils.py#L214-L218

bh107/bohrium

5b83e7117285fefc7779ed0e9acb0f8e74c7e068

bridge/npbackend/bohrium/backend_messaging.py

python

cuda_use_current_context

()

return _backend_msg("CUDA: use current context")

Tell the CUDA backend to use the current CUDA context (useful for PyCUDA interop)

[ "Tell", "the", "CUDA", "backend", "to", "use", "the", "current", "CUDA", "context", "(", "useful", "for", "PyCUDA", "interop", ")" ]

def cuda_use_current_context(): """Tell the CUDA backend to use the current CUDA context (useful for PyCUDA interop)""" return _backend_msg("CUDA: use current context")

[ "def", "cuda_use_current_context", "(", ")", ":", "return", "_backend_msg", "(", "\"CUDA: use current context\"", ")" ]

https://github.com/bh107/bohrium/blob/5b83e7117285fefc7779ed0e9acb0f8e74c7e068/bridge/npbackend/bohrium/backend_messaging.py#L34-L36

aws/lumberyard

f85344403c1c2e77ec8c75deb2c116e97b713217

dev/Tools/Python/3.7.10/linux_x64/lib/python3.7/pydoc.py

python

TextDoc.docmodule

(self, object, name=None, mod=None)

return result

Produce text documentation for a given module object.

[ "Produce", "text", "documentation", "for", "a", "given", "module", "object", "." ]

def docmodule(self, object, name=None, mod=None): """Produce text documentation for a given module object.""" name = object.__name__ # ignore the passed-in name synop, desc = splitdoc(getdoc(object)) result = self.section('NAME', name + (synop and ' - ' + synop)) all = getattr(object, '__all__', None) docloc = self.getdocloc(object) if docloc is not None: result = result + self.section('MODULE REFERENCE', docloc + """ The following documentation is automatically generated from the Python source files. It may be incomplete, incorrect or include features that are considered implementation detail and may vary between Python implementations. When in doubt, consult the module reference at the location listed above. """) if desc: result = result + self.section('DESCRIPTION', desc) classes = [] for key, value in inspect.getmembers(object, inspect.isclass): # if __all__ exists, believe it. Otherwise use old heuristic. if (all is not None or (inspect.getmodule(value) or object) is object): if visiblename(key, all, object): classes.append((key, value)) funcs = [] for key, value in inspect.getmembers(object, inspect.isroutine): # if __all__ exists, believe it. Otherwise use old heuristic. if (all is not None or inspect.isbuiltin(value) or inspect.getmodule(value) is object): if visiblename(key, all, object): funcs.append((key, value)) data = [] for key, value in inspect.getmembers(object, isdata): if visiblename(key, all, object): data.append((key, value)) modpkgs = [] modpkgs_names = set() if hasattr(object, '__path__'): for importer, modname, ispkg in pkgutil.iter_modules(object.__path__): modpkgs_names.add(modname) if ispkg: modpkgs.append(modname + ' (package)') else: modpkgs.append(modname) modpkgs.sort() result = result + self.section( 'PACKAGE CONTENTS', '\n'.join(modpkgs)) # Detect submodules as sometimes created by C extensions submodules = [] for key, value in inspect.getmembers(object, inspect.ismodule): if value.__name__.startswith(name + '.') and key not in modpkgs_names: submodules.append(key) if submodules: submodules.sort() result = result + self.section( 'SUBMODULES', '\n'.join(submodules)) if classes: classlist = [value for key, value in classes] contents = [self.formattree( inspect.getclasstree(classlist, 1), name)] for key, value in classes: contents.append(self.document(value, key, name)) result = result + self.section('CLASSES', '\n'.join(contents)) if funcs: contents = [] for key, value in funcs: contents.append(self.document(value, key, name)) result = result + self.section('FUNCTIONS', '\n'.join(contents)) if data: contents = [] for key, value in data: contents.append(self.docother(value, key, name, maxlen=70)) result = result + self.section('DATA', '\n'.join(contents)) if hasattr(object, '__version__'): version = str(object.__version__) if version[:11] == '$' + 'Revision: ' and version[-1:] == '$': version = version[11:-1].strip() result = result + self.section('VERSION', version) if hasattr(object, '__date__'): result = result + self.section('DATE', str(object.__date__)) if hasattr(object, '__author__'): result = result + self.section('AUTHOR', str(object.__author__)) if hasattr(object, '__credits__'): result = result + self.section('CREDITS', str(object.__credits__)) try: file = inspect.getabsfile(object) except TypeError: file = '(built-in)' result = result + self.section('FILE', file) return result

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Otherwise use old heuristic.", "if", "(", "all", "is", "not", "None", "or", "inspect", ".", "isbuiltin", "(", "value", ")", "or", "inspect", ".", "getmodule", "(", "value", ")", "is", "object", ")", ":", "if", "visiblename", "(", "key", ",", "all", ",", "object", ")", ":", "funcs", ".", "append", "(", "(", "key", ",", "value", ")", ")", "data", "=", "[", "]", "for", "key", ",", "value", "in", "inspect", ".", "getmembers", "(", "object", ",", "isdata", ")", ":", "if", "visiblename", "(", "key", ",", "all", ",", "object", ")", ":", "data", ".", "append", "(", "(", "key", ",", "value", ")", ")", "modpkgs", "=", "[", "]", "modpkgs_names", "=", "set", "(", ")", "if", "hasattr", "(", "object", ",", "'__path__'", ")", ":", "for", "importer", ",", "modname", ",", "ispkg", "in", "pkgutil", ".", "iter_modules", "(", "object", ".", "__path__", ")", ":", "modpkgs_names", ".", "add", "(", "modname", ")", "if", "ispkg", ":", "modpkgs", ".", "append", "(", "modname", "+", "' (package)'", ")", "else", ":", "modpkgs", ".", "append", "(", "modname", ")", "modpkgs", ".", "sort", "(", ")", "result", "=", "result", "+", "self", ".", "section", "(", "'PACKAGE CONTENTS'", ",", "'\\n'", ".", "join", "(", "modpkgs", ")", ")", "# Detect submodules as sometimes created by C extensions", "submodules", "=", "[", "]", "for", "key", ",", "value", "in", "inspect", ".", "getmembers", "(", "object", ",", "inspect", ".", "ismodule", ")", ":", "if", "value", ".", "__name__", ".", "startswith", "(", "name", "+", "'.'", ")", "and", "key", "not", "in", "modpkgs_names", ":", "submodules", ".", "append", "(", "key", ")", "if", "submodules", ":", "submodules", ".", "sort", "(", ")", "result", "=", "result", "+", "self", ".", "section", "(", "'SUBMODULES'", ",", "'\\n'", ".", "join", "(", "submodules", ")", ")", "if", "classes", ":", "classlist", "=", "[", "value", "for", "key", ",", "value", "in", "classes", "]", "contents", "=", "[", "self", ".", "formattree", "(", "inspect", ".", "getclasstree", "(", "classlist", ",", "1", ")", ",", "name", ")", "]", "for", "key", ",", "value", "in", "classes", ":", "contents", ".", "append", "(", "self", ".", "document", "(", "value", ",", "key", ",", "name", ")", ")", "result", "=", "result", "+", "self", ".", "section", "(", "'CLASSES'", ",", "'\\n'", ".", "join", "(", "contents", ")", ")", "if", "funcs", ":", "contents", "=", "[", "]", "for", "key", ",", "value", "in", "funcs", ":", "contents", ".", "append", "(", "self", ".", "document", "(", "value", ",", "key", ",", "name", ")", ")", "result", "=", "result", "+", "self", ".", "section", "(", "'FUNCTIONS'", ",", "'\\n'", ".", "join", "(", "contents", ")", ")", "if", "data", ":", "contents", "=", "[", "]", "for", "key", ",", "value", "in", "data", ":", "contents", ".", "append", "(", "self", ".", "docother", "(", "value", ",", "key", ",", "name", ",", "maxlen", "=", "70", ")", ")", "result", "=", "result", "+", "self", ".", "section", "(", "'DATA'", ",", "'\\n'", ".", "join", "(", "contents", ")", ")", "if", "hasattr", "(", "object", ",", "'__version__'", ")", ":", "version", "=", "str", "(", "object", ".", "__version__", ")", "if", "version", "[", ":", "11", "]", "==", "'$'", "+", "'Revision: '", "and", "version", "[", "-", "1", ":", "]", "==", "'$'", ":", "version", "=", "version", "[", "11", ":", "-", "1", "]", ".", "strip", "(", ")", "result", "=", "result", "+", "self", ".", "section", "(", "'VERSION'", ",", "version", ")", "if", "hasattr", "(", "object", ",", "'__date__'", ")", ":", "result", "=", "result", "+", "self", ".", "section", "(", "'DATE'", ",", "str", "(", "object", ".", "__date__", ")", ")", "if", "hasattr", "(", "object", ",", "'__author__'", ")", ":", "result", "=", "result", "+", "self", ".", "section", "(", "'AUTHOR'", ",", "str", "(", "object", ".", "__author__", ")", ")", "if", "hasattr", "(", "object", ",", "'__credits__'", ")", ":", "result", "=", "result", "+", "self", ".", "section", "(", "'CREDITS'", ",", "str", "(", "object", ".", "__credits__", ")", ")", "try", ":", "file", "=", "inspect", ".", "getabsfile", "(", "object", ")", "except", "TypeError", ":", "file", "=", "'(built-in)'", "result", "=", "result", "+", "self", ".", "section", "(", "'FILE'", ",", "file", ")", "return", "result" ]

https://github.com/aws/lumberyard/blob/f85344403c1c2e77ec8c75deb2c116e97b713217/dev/Tools/Python/3.7.10/linux_x64/lib/python3.7/pydoc.py#L1113-L1212

tensorflow/tensorflow

419e3a6b650ea4bd1b0cba23c4348f8a69f3272e

tensorflow/python/eager/context.py

python

set_global_seed

(seed)

Sets the eager mode seed.

[ "Sets", "the", "eager", "mode", "seed", "." ]

def set_global_seed(seed): """Sets the eager mode seed.""" context()._set_global_seed(seed)

[ "def", "set_global_seed", "(", "seed", ")", ":", "context", "(", ")", ".", "_set_global_seed", "(", "seed", ")" ]

https://github.com/tensorflow/tensorflow/blob/419e3a6b650ea4bd1b0cba23c4348f8a69f3272e/tensorflow/python/eager/context.py#L2105-L2107

miyosuda/TensorFlowAndroidMNIST

7b5a4603d2780a8a2834575706e9001977524007

jni-build/jni/include/tensorflow/python/client/session.py

python

_uniquify_fetches

(fetch_mappers)

return unique_fetches, value_indices

Uniquifies fetches from a list of fetch_mappers. This is a utility function used by _ListFetchMapper and _DictFetchMapper. It gathers all the unique fetches from a list of mappers and builds a list containing all of them but without duplicates (unique_fetches). It also returns a 2-D list of integers (values_indices) indicating at which index in unique_fetches the fetches of the mappers are located. This list is as follows: values_indices[mapper_index][mapper_fetch_index] = unique_fetches_index Args: fetch_mappers: list of fetch mappers. Returns: A list of fetches. A 2-D list of integers.

Uniquifies fetches from a list of fetch_mappers.

[ "Uniquifies", "fetches", "from", "a", "list", "of", "fetch_mappers", "." ]

def _uniquify_fetches(fetch_mappers): """Uniquifies fetches from a list of fetch_mappers. This is a utility function used by _ListFetchMapper and _DictFetchMapper. It gathers all the unique fetches from a list of mappers and builds a list containing all of them but without duplicates (unique_fetches). It also returns a 2-D list of integers (values_indices) indicating at which index in unique_fetches the fetches of the mappers are located. This list is as follows: values_indices[mapper_index][mapper_fetch_index] = unique_fetches_index Args: fetch_mappers: list of fetch mappers. Returns: A list of fetches. A 2-D list of integers. """ unique_fetches = [] value_indices = [] seen_fetches = {} for m in fetch_mappers: m_value_indices = [] for f in m.unique_fetches(): j = seen_fetches.get(f) if j is None: j = len(seen_fetches) seen_fetches[f] = j unique_fetches.append(f) m_value_indices.append(j) value_indices.append(m_value_indices) return unique_fetches, value_indices

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https://github.com/miyosuda/TensorFlowAndroidMNIST/blob/7b5a4603d2780a8a2834575706e9001977524007/jni-build/jni/include/tensorflow/python/client/session.py#L242-L275

ApolloAuto/apollo-platform

86d9dc6743b496ead18d597748ebabd34a513289

ros/ros_comm/rosmaster/src/rosmaster/master_api.py

python

ROSMasterHandler.subscribeParam

(self, caller_id, caller_api, key)

return 1, "Subscribed to parameter [%s]"%key, val

Retrieve parameter value from server and subscribe to updates to that param. See paramUpdate() in the Node API. @param caller_id str: ROS caller id @type caller_id: str @param key: parameter to lookup. @type key: str @param caller_api: API URI for paramUpdate callbacks. @type caller_api: str @return: [code, statusMessage, parameterValue]. If code is not 1, parameterValue should be ignored. parameterValue is an empty dictionary if the parameter has not been set yet. @rtype: [int, str, XMLRPCLegalValue]

Retrieve parameter value from server and subscribe to updates to that param. See paramUpdate() in the Node API.

[ "Retrieve", "parameter", "value", "from", "server", "and", "subscribe", "to", "updates", "to", "that", "param", ".", "See", "paramUpdate", "()", "in", "the", "Node", "API", "." ]

def subscribeParam(self, caller_id, caller_api, key): """ Retrieve parameter value from server and subscribe to updates to that param. See paramUpdate() in the Node API. @param caller_id str: ROS caller id @type caller_id: str @param key: parameter to lookup. @type key: str @param caller_api: API URI for paramUpdate callbacks. @type caller_api: str @return: [code, statusMessage, parameterValue]. If code is not 1, parameterValue should be ignored. parameterValue is an empty dictionary if the parameter has not been set yet. @rtype: [int, str, XMLRPCLegalValue] """ key = resolve_name(key, caller_id) try: # ps_lock has precedence and is required due to # potential self.reg_manager modification self.ps_lock.acquire() val = self.param_server.subscribe_param(key, (caller_id, caller_api)) finally: self.ps_lock.release() return 1, "Subscribed to parameter [%s]"%key, val

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https://github.com/ApolloAuto/apollo-platform/blob/86d9dc6743b496ead18d597748ebabd34a513289/ros/ros_comm/rosmaster/src/rosmaster/master_api.py#L432-L455

wxWidgets/wxPython-Classic

19571e1ae65f1ac445f5491474121998c97a1bf0

src/osx_carbon/_core.py

python

VersionInfo.GetMajor

(*args, **kwargs)

return _core_.VersionInfo_GetMajor(*args, **kwargs)

GetMajor(self) -> int

[ "GetMajor", "(", "self", ")", "-", ">", "int" ]

def GetMajor(*args, **kwargs): """GetMajor(self) -> int""" return _core_.VersionInfo_GetMajor(*args, **kwargs)

[ "def", "GetMajor", "(", "*", "args", ",", "*", "*", "kwargs", ")", ":", "return", "_core_", ".", "VersionInfo_GetMajor", "(", "*", "args", ",", "*", "*", "kwargs", ")" ]

https://github.com/wxWidgets/wxPython-Classic/blob/19571e1ae65f1ac445f5491474121998c97a1bf0/src/osx_carbon/_core.py#L16569-L16571

eventql/eventql

7ca0dbb2e683b525620ea30dc40540a22d5eb227

deps/3rdparty/spidermonkey/mozjs/build/pymake/pymake/parser.py

python

parsestring

(s, filename)

return condstack[0]

Parse a string containing makefile data into a parserdata.StatementList.

[ "Parse", "a", "string", "containing", "makefile", "data", "into", "a", "parserdata", ".", "StatementList", "." ]

def parsestring(s, filename): """ Parse a string containing makefile data into a parserdata.StatementList. """ currule = False condstack = [parserdata.StatementList()] fdlines = enumeratelines(s, filename) for d in fdlines: assert len(condstack) > 0 offset = d.lstart if currule and offset < d.lend and d.s[offset] == '\t': e, token, offset = parsemakesyntax(d, offset + 1, (), itercommandchars) assert token is None assert offset is None condstack[-1].append(parserdata.Command(e)) continue # To parse Makefile syntax, we first strip leading whitespace and # look for initial keywords. If there are no keywords, it's either # setting a variable or writing a rule. offset = d.skipwhitespace(offset) if offset is None: continue m = _directivesre.match(d.s, offset, d.lend) if m is not None: kword = m.group(1) offset = m.end(0) if kword == 'endif': _ensureend(d, offset, "Unexpected data after 'endif' directive") if len(condstack) == 1: raise SyntaxError("unmatched 'endif' directive", d.getloc(offset)) condstack.pop().endloc = d.getloc(offset) continue if kword == 'else': if len(condstack) == 1: raise SyntaxError("unmatched 'else' directive", d.getloc(offset)) m = _conditionre.match(d.s, offset, d.lend) if m is None: _ensureend(d, offset, "Unexpected data after 'else' directive.") condstack[-1].addcondition(d.getloc(offset), parserdata.ElseCondition()) else: kword = m.group(1) if kword not in _conditionkeywords: raise SyntaxError("Unexpected condition after 'else' directive.", d.getloc(offset)) startoffset = offset offset = d.skipwhitespace(m.end(1)) c = _conditionkeywords[kword](d, offset) condstack[-1].addcondition(d.getloc(startoffset), c) continue if kword in _conditionkeywords: c = _conditionkeywords[kword](d, offset) cb = parserdata.ConditionBlock(d.getloc(d.lstart), c) condstack[-1].append(cb) condstack.append(cb) continue if kword == 'endef': raise SyntaxError("endef without matching define", d.getloc(offset)) if kword == 'define': currule = False vname, t, i = parsemakesyntax(d, offset, (), itermakefilechars) vname.rstrip() startloc = d.getloc(d.lstart) value = iterdefinelines(fdlines, startloc) condstack[-1].append(parserdata.SetVariable(vname, value=value, valueloc=startloc, token='=', targetexp=None)) continue if kword in ('include', '-include', 'includedeps', '-includedeps'): if kword.startswith('-'): required = False kword = kword[1:] else: required = True deps = kword == 'includedeps' currule = False incfile, t, offset = parsemakesyntax(d, offset, (), itermakefilechars) condstack[-1].append(parserdata.Include(incfile, required, deps)) continue if kword == 'vpath': currule = False e, t, offset = parsemakesyntax(d, offset, (), itermakefilechars) condstack[-1].append(parserdata.VPathDirective(e)) continue if kword == 'override': currule = False vname, token, offset = parsemakesyntax(d, offset, _varsettokens, itermakefilechars) vname.lstrip() vname.rstrip() if token is None: raise SyntaxError("Malformed override directive, need =", d.getloc(d.lstart)) value = flattenmakesyntax(d, offset).lstrip() condstack[-1].append(parserdata.SetVariable(vname, value=value, valueloc=d.getloc(offset), token=token, targetexp=None, source=data.Variables.SOURCE_OVERRIDE)) continue if kword == 'export': currule = False e, token, offset = parsemakesyntax(d, offset, _varsettokens, itermakefilechars) e.lstrip() e.rstrip() if token is None: condstack[-1].append(parserdata.ExportDirective(e, concurrent_set=False)) else: condstack[-1].append(parserdata.ExportDirective(e, concurrent_set=True)) value = flattenmakesyntax(d, offset).lstrip() condstack[-1].append(parserdata.SetVariable(e, value=value, valueloc=d.getloc(offset), token=token, targetexp=None)) continue if kword == 'unexport': e, token, offset = parsemakesyntax(d, offset, (), itermakefilechars) condstack[-1].append(parserdata.UnexportDirective(e)) continue e, token, offset = parsemakesyntax(d, offset, _varsettokens + ('::', ':'), itermakefilechars) if token is None: e.rstrip() e.lstrip() if not e.isempty(): condstack[-1].append(parserdata.EmptyDirective(e)) continue # if we encountered real makefile syntax, the current rule is over currule = False if token in _varsettokens: e.lstrip() e.rstrip() value = flattenmakesyntax(d, offset).lstrip() condstack[-1].append(parserdata.SetVariable(e, value=value, valueloc=d.getloc(offset), token=token, targetexp=None)) else: doublecolon = token == '::' # `e` is targets or target patterns, which can end up as # * a rule # * an implicit rule # * a static pattern rule # * a target-specific variable definition # * a pattern-specific variable definition # any of the rules may have order-only prerequisites # delimited by |, and a command delimited by ; targets = e e, token, offset = parsemakesyntax(d, offset, _varsettokens + (':', '|', ';'), itermakefilechars) if token in (None, ';'): condstack[-1].append(parserdata.Rule(targets, e, doublecolon)) currule = True if token == ';': offset = d.skipwhitespace(offset) e, t, offset = parsemakesyntax(d, offset, (), itercommandchars) condstack[-1].append(parserdata.Command(e)) elif token in _varsettokens: e.lstrip() e.rstrip() value = flattenmakesyntax(d, offset).lstrip() condstack[-1].append(parserdata.SetVariable(e, value=value, valueloc=d.getloc(offset), token=token, targetexp=targets)) elif token == '|': raise SyntaxError('order-only prerequisites not implemented', d.getloc(offset)) else: assert token == ':' # static pattern rule pattern = e deps, token, offset = parsemakesyntax(d, offset, (';',), itermakefilechars) condstack[-1].append(parserdata.StaticPatternRule(targets, pattern, deps, doublecolon)) currule = True if token == ';': offset = d.skipwhitespace(offset) e, token, offset = parsemakesyntax(d, offset, (), itercommandchars) condstack[-1].append(parserdata.Command(e)) if len(condstack) != 1: raise SyntaxError("Condition never terminated with endif", condstack[-1].loc) return condstack[0]

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https://github.com/eventql/eventql/blob/7ca0dbb2e683b525620ea30dc40540a22d5eb227/deps/3rdparty/spidermonkey/mozjs/build/pymake/pymake/parser.py#L425-L635

trilinos/Trilinos

6168be6dd51e35e1cd681e9c4b24433e709df140

packages/seacas/libraries/ioss/src/visualization/catalyst/phactori/phactori.py

python

ShowDataColorLegendXX

(inPvView, inOnOffSetting, inColorLegendPositionAndSize, inColorSettings, inColorLegendRepRef, inPvDataRep)

return newScalarBarWidgetRepresentation

Turns on or off the display of the color bar legend showing the mapping between the color and the data value (and the name of the data value. (note this is primarily to do the paraview-side work to turn bar on or off, on to set up for rendering in the shared view, off to turn off rendering in shared view. On or off state for rendering is stored as a flag in the ioPhactoriImagesetBlock instance

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def ShowDataColorLegendXX(inPvView, inOnOffSetting, inColorLegendPositionAndSize, inColorSettings, inColorLegendRepRef, inPvDataRep): """Turns on or off the display of the color bar legend showing the mapping between the color and the data value (and the name of the data value. (note this is primarily to do the paraview-side work to turn bar on or off, on to set up for rendering in the shared view, off to turn off rendering in shared view. On or off state for rendering is stored as a flag in the ioPhactoriImagesetBlock instance""" if PhactoriDbg(100): myDebugPrint3('phactori.ShowDataColorLegendXX entered, setting:' + \ inOnOffSetting + '\n', 100) if(inOnOffSetting == 'on'): myVisibility = 1 else: myVisibility = 0 if inColorLegendRepRef != None: if PhactoriDbg(100): myDebugPrint3("A inColorLegendRepRef was " + \ str(inColorLegendRepRef.Visibility) + \ " now 0: " + str(inColorLegendRepRef) + "\n") inColorLegendRepRef.Visibility = 0 myDebugPrint3( 'phactori.ShowDataColorLegendXX returing with none rep: ' + \ inOnOffSetting + '\n', 100) return None if gParaViewCatalystVersionFlag <= 40100: localColorArrayName = \ inPvDataRep.ColorArrayName else: localColorArrayName = \ inPvDataRep.ColorArrayName[1] if inColorLegendRepRef != None: #myDebugPrint3(' phactori.ShowDataColorLegend using rep reference\n', 100) #if inColorLegendRepRef.ColorArrayName == '': # return inPvView.OrientationAxesLabelColor = inColorSettings.mTextColor if PhactoriDbg(100): myDebugPrint3("B inColorLegendRepRef was " + \ str(inColorLegendRepRef.Visibility) + \ " now " + str(myVisibility) + ": " + str(inColorLegendRepRef) + "\n") inColorLegendRepRef.Visibility = myVisibility inColorLegendRepRef.LookupTable = inPvDataRep.LookupTable inColorLegendRepRef.Title = localColorArrayName #ioPhactoriImagesetBlock.mColorLegendRepRef.Color = \ # inColorSettings.mTextColor if PhactoriDbg(100): myDebugPrint3( 'phactori.ShowDataColorLegendXX returing with old rep: ' + \ inOnOffSetting + '\n', 100) return inColorLegendRepRef #else: #myDebugPrint3(' phactori.ShowDataColorLegend have to create rep reference\n', 100) if inColorLegendPositionAndSize[0] == 'parameters': legendSizeMultiplier = None legendSize = inColorLegendPositionAndSize[3] legendFontSize = inColorLegendPositionAndSize[4] else: legendSizeMultiplier = inColorLegendPositionAndSize[1] if gParaViewCatalystVersionFlag <= 40100: #our own factor to make legends smaller generally legendSizeMultiplier *= 0.6 else: #legendSizeMultiplier *= 1.0 legendSizeMultiplier *= 0.7 #legendFontSize = int(12.0 * legendSizeMultiplier) legendFontSize = int(9.0 * legendSizeMultiplier) if gParaViewCatalystVersionFlag <= 40100: colorLegendDefaultLongSize = 0.5 colorLegendDefaultShortSize = 0.13 else: #[0.12, 0.43] #[0.85, 0.05] colorLegendDefaultLongSize = 0.43 colorLegendDefaultShortSize = 0.12 colorLegendAdjustedLongSize = colorLegendDefaultLongSize * legendSizeMultiplier colorLegendAdjustedShortSize = colorLegendDefaultShortSize * legendSizeMultiplier horizontalLegendSize = [colorLegendAdjustedLongSize, colorLegendAdjustedShortSize] verticalLegendSize = [colorLegendAdjustedShortSize, colorLegendAdjustedLongSize] xPosForBottomTop = 0.5 - 0.5 * colorLegendAdjustedLongSize yPosForLeftRight = 0.5 - 0.5 * colorLegendAdjustedShortSize if gParaViewCatalystVersionFlag < 50400: if inColorLegendPositionAndSize[0] == 'top': legendOrientation = 'Horizontal' legendSize = horizontalLegendSize legendPosition=[xPosForBottomTop, 0.85] elif inColorLegendPositionAndSize[0] == 'bottom': legendOrientation = 'Horizontal' legendSize = horizontalLegendSize legendPosition=[xPosForBottomTop, 0.02] elif inColorLegendPositionAndSize[0] == 'left': legendOrientation = 'Vertical' legendSize = verticalLegendSize legendPosition=[0.065, yPosForLeftRight] elif inColorLegendPositionAndSize[0] == 'right': legendOrientation = 'Vertical' legendSize = verticalLegendSize legendPosition=[0.9, yPosForLeftRight] elif inColorLegendPositionAndSize[0] == 'top left': legendOrientation = 'Horizontal' legendSize = horizontalLegendSize legendPosition=[0.065, 0.85] elif inColorLegendPositionAndSize[0] == 'top right': legendOrientation = 'Horizontal' legendSize = horizontalLegendSize legendPosition=[0.7, 0.85] elif inColorLegendPositionAndSize[0] == 'bottom left': legendOrientation = 'Horizontal' legendSize = horizontalLegendSize #legendPosition=[0.065, 0.85] legendPosition=[0.065, 0.01] elif inColorLegendPositionAndSize[0] == 'bottom right': legendOrientation = 'Horizontal' legendSize = horizontalLegendSize #legendPosition=[0.7, 0.05] legendPosition=[0.7, 0.01] elif inColorLegendPositionAndSize[0] == 'parameters': legendOrientation = inColorLegendPositionAndSize[1] legendSize = horizontalLegendSize legendPosition = inColorLegendPositionAndSize[2] else: legendOrientation = 'Horizontal' legendSize = horizontalLegendSize #legendPosition=[xPosForBottomTop, 0.05] legendPosition=[xPosForBottomTop, 0.01] if PhactoriDbg(): myDebugPrint3("legend info:\n legendSizeMultiplier: " + str(legendSizeMultiplier) + "\n" \ " legendSize: " + str(legendSize) + "\n" \ " legendPos: " + str(legendPosition) + "\n"\ " legendOrientation: " + str(legendOrientation) + "\n"\ " legendFontSize: " + str(legendFontSize) + "\n") else: defaultLegendLength = 0.33 defaultMidPos = 0.5 - 0.5*defaultLegendLength #legendFontSize = 16 #legendSize = 1.0 #validPositions = ['UpperLeftCorner', 'UpperRightCorner', # 'LowerLeftCorner', 'LowerRightCorner', # 'UpperCenter', 'LowerCenter'] legendPosition=[0.0, 0.0] if inColorLegendPositionAndSize[0] == 'top': legendOrientation = 'Horizontal' legendWindowLocation = 'UpperCenter' elif inColorLegendPositionAndSize[0] == 'bottom': legendOrientation = 'Horizontal' legendWindowLocation = 'LowerCenter' elif inColorLegendPositionAndSize[0] == 'left': legendOrientation = 'Vertical' legendPosition=[0.02, defaultMidPos] legendWindowLocation = 'AnyLocation' elif inColorLegendPositionAndSize[0] == 'right': legendOrientation = 'Vertical' legendPosition=[0.89, defaultMidPos] legendWindowLocation = 'AnyLocation' elif inColorLegendPositionAndSize[0] == 'top left': legendOrientation = 'Vertical' legendWindowLocation = 'UpperLeftCorner' elif inColorLegendPositionAndSize[0] == 'top right': legendOrientation = 'Vertical' legendWindowLocation = 'UpperRightCorner' elif inColorLegendPositionAndSize[0] == 'bottom left': legendOrientation = 'Vertical' legendWindowLocation = 'LowerLeftCorner' elif inColorLegendPositionAndSize[0] == 'bottom right': legendOrientation = 'Vertical' legendWindowLocation = 'LowerRightCorner' elif inColorLegendPositionAndSize[0] == 'parameters': legendOrientation = inColorLegendPositionAndSize[1] legendPosition = inColorLegendPositionAndSize[2] legendWindowLocation = 'AnyLocation' else: legendOrientation = 'Vertical' legendWindowLocation = 'LowerRightCorner' #newScalarBarWidgetRepresentation = CreateScalarBar( Title=inPvDataRep.ColorArrayName, Position2=[0.13, 0.5], TitleOpacity=1.0, TitleShadow=0, AutomaticLabelFormat=1, TitleFontSize=12, TitleColor=[1.0, 1.0, 1.0], AspectRatio=20.0, NumberOfLabels=5, ComponentTitle='', Resizable=1, TitleFontFamily='Arial', Visibility=myVisibility, LabelFontSize=12, LabelFontFamily='Arial', TitleItalic=0, Selectable=0, LabelItalic=0, Enabled=0, LabelColor=[1.0, 1.0, 1.0], Position=[0.9, 0.31396255850234012], LabelBold=0, UseNonCompositedRenderer=1, LabelOpacity=1.0, TitleBold=0, LabelFormat='%-#6.3g', Orientation='Vertical', LabelShadow=0, LookupTable=inPvDataRep.LookupTable, Repositionable=1 ) if gParaViewCatalystVersionFlag <= 40100: newScalarBarWidgetRepresentation = CreateScalarBar(Title=localColorArrayName, Orientation=legendOrientation, Position=legendPosition, Position2 = legendSize, Visibility=myVisibility, LookupTable=inPvDataRep.LookupTable, LabelFontSize=legendFontSize, TitleOpacity=1.0, TitleShadow=0, AutomaticLabelFormat=1, TitleFontSize=legendFontSize, TitleColor=inColorSettings.mTextColor, AspectRatio=20.0, NumberOfLabels=5, ComponentTitle='', Resizable=1, TitleFontFamily='Arial', LabelFontFamily='Arial', TitleItalic=0, Selectable=0, LabelItalic=0, Enabled=0, LabelColor=inColorSettings.mTextColor, LabelBold=0, UseNonCompositedRenderer=1, LabelOpacity=1.0, TitleBold=0, LabelFormat='%-#6.3g', LabelShadow=0, Repositionable=1) elif gParaViewCatalystVersionFlag < 50400: newScalarBarWidgetRepresentation = CreateScalarBar(Title=localColorArrayName, Orientation=legendOrientation, Position=legendPosition, Position2 = legendSize, Visibility=myVisibility, LookupTable=inPvDataRep.LookupTable, LabelFontSize=legendFontSize, #TitleOpacity=1.0, #TitleShadow=0, #AutomaticLabelFormat=1, TitleFontSize=legendFontSize, TitleColor=inColorSettings.mTextColor, AspectRatio=20.0, #NumberOfLabels=5, ComponentTitle='', #Resizable=1, #TitleFontFamily='Arial', #LabelFontFamily='Arial', #TitleItalic=0, #Selectable=0, #LabelItalic=0, #Enabled=0, LabelColor=inColorSettings.mTextColor, #LabelBold=0, #UseNonCompositedRenderer=1, #LabelOpacity=1.0, #TitleBold=0, #LabelFormat='%-#6.3g', #LabelShadow=0, #Repositionable=1 ) else: newScalarBarWidgetRepresentation = CreateScalarBar( Title=localColorArrayName, ComponentTitle='') newScalarBarWidgetRepresentation.Orientation = legendOrientation newScalarBarWidgetRepresentation.WindowLocation = legendWindowLocation if legendWindowLocation == 'AnyLocation': newScalarBarWidgetRepresentation.Position = legendPosition if PhactoriDbg(): nbwr = newScalarBarWidgetRepresentation myDebugPrint3("newScalarBarWidgetRepresentation:\n" +\ str(nbwr) + "\n" +\ " Title: " + str(nbwr.Title) + "\n" +\ " ComponentTitle: " + str(nbwr.ComponentTitle) + "\n" +\ " WindowLocation: " + str(nbwr.WindowLocation) + "\n" +\ " Position: " + str(nbwr.Position) + "\n" +\ " ScalarBarLength: " + str(nbwr.ScalarBarLength) + "\n" +\ " ScalarBarThickness: " + str(nbwr.ScalarBarThickness) + "\n" +\ " Orientation: " + str(nbwr.Orientation) + "\n" +\ " LabelFontSize: " + str(nbwr.LabelFontSize) + "\n" +\ " TitleFontSize: " + str(nbwr.TitleFontSize) + "\n" +\ " LabelFontFamily: " + str(nbwr.LabelFontFamily) + "\n" +\ " TitleFontFamily: " + str(nbwr.TitleFontSize) + "\n") #" LockPosition: " + str(nbwr.LockPosition) + "\n" +\ #" Repositionable: " + str(nbwr.Repositionable) + "\n" +\ #" AutoOrient: " + str(nbwr.AutoOrient) + "\n" +\ inPvView.OrientationAxesLabelColor = inColorSettings.mTextColor inPvView.Representations.append(newScalarBarWidgetRepresentation) #ioPhactoriImagesetBlock.mColorLegendRepRef = \ # newScalarBarWidgetRepresentation if PhactoriDbg(): myDebugPrint3("current lookup table:\n"); if PhactoriDbg(): myDebugPrint3(str(inPvDataRep.LookupTable) + '\n') if PhactoriDbg(): myDebugPrint3("RGBPoints:\n"); if PhactoriDbg(): if gParaViewCatalystVersionFlag <= 40100: myLocalRGBPoints = inPvDataRep.LookupTable.RGBPoints else: pv_4_3_LUT = GetColorTransferFunction( inPvDataRep.ColorArrayName[1]) myLocalRGBPoints = pv_4_3_LUT.RGBPoints myDebugPrint3(str(myLocalRGBPoints) + '\n') if PhactoriDbg(): myDebugPrint3("widget:\n"); if PhactoriDbg(): myDebugPrint3(str(newScalarBarWidgetRepresentation) + '\n') if PhactoriDbg(100): myDebugPrint3('phactori.ShowDataColorLegendXX returing with new rep: ' + \ inOnOffSetting + '\n', 100) return newScalarBarWidgetRepresentation

[ "def", "ShowDataColorLegendXX", "(", "inPvView", ",", "inOnOffSetting", ",", "inColorLegendPositionAndSize", ",", "inColorSettings", ",", "inColorLegendRepRef", ",", "inPvDataRep", ")", ":", "if", "PhactoriDbg", "(", "100", ")", ":", "myDebugPrint3", "(", "'phactori.ShowDataColorLegendXX entered, setting:'", "+", "inOnOffSetting", "+", "'\\n'", ",", "100", ")", "if", "(", "inOnOffSetting", "==", "'on'", ")", ":", "myVisibility", "=", "1", "else", ":", "myVisibility", "=", "0", "if", "inColorLegendRepRef", "!=", "None", ":", "if", "PhactoriDbg", "(", "100", ")", ":", "myDebugPrint3", "(", "\"A inColorLegendRepRef was \"", "+", "str", "(", "inColorLegendRepRef", ".", "Visibility", ")", "+", "\" now 0: \"", "+", "str", "(", "inColorLegendRepRef", ")", "+", "\"\\n\"", ")", "inColorLegendRepRef", ".", "Visibility", "=", "0", "myDebugPrint3", "(", "'phactori.ShowDataColorLegendXX returing with none rep: '", "+", "inOnOffSetting", "+", "'\\n'", ",", "100", ")", "return", "None", "if", "gParaViewCatalystVersionFlag", "<=", "40100", ":", "localColorArrayName", "=", "inPvDataRep", ".", "ColorArrayName", "else", ":", "localColorArrayName", "=", "inPvDataRep", ".", "ColorArrayName", "[", "1", "]", "if", "inColorLegendRepRef", "!=", "None", ":", "#myDebugPrint3(' phactori.ShowDataColorLegend using rep reference\\n', 100)", "#if inColorLegendRepRef.ColorArrayName == '':", "# return", "inPvView", ".", "OrientationAxesLabelColor", "=", "inColorSettings", ".", "mTextColor", "if", "PhactoriDbg", "(", "100", ")", ":", "myDebugPrint3", "(", "\"B inColorLegendRepRef was \"", "+", "str", "(", "inColorLegendRepRef", ".", "Visibility", ")", "+", "\" now \"", "+", "str", "(", "myVisibility", ")", "+", "\": \"", "+", "str", "(", "inColorLegendRepRef", ")", "+", "\"\\n\"", ")", "inColorLegendRepRef", ".", "Visibility", "=", "myVisibility", "inColorLegendRepRef", ".", "LookupTable", "=", "inPvDataRep", ".", "LookupTable", "inColorLegendRepRef", ".", "Title", "=", "localColorArrayName", "#ioPhactoriImagesetBlock.mColorLegendRepRef.Color = \\", "# inColorSettings.mTextColor", "if", "PhactoriDbg", "(", "100", ")", ":", "myDebugPrint3", "(", "'phactori.ShowDataColorLegendXX returing with old rep: '", "+", "inOnOffSetting", "+", "'\\n'", ",", "100", ")", "return", "inColorLegendRepRef", "#else:", "#myDebugPrint3(' phactori.ShowDataColorLegend have to create rep reference\\n', 100)", "if", "inColorLegendPositionAndSize", "[", "0", "]", "==", "'parameters'", ":", "legendSizeMultiplier", "=", "None", "legendSize", "=", "inColorLegendPositionAndSize", "[", "3", "]", "legendFontSize", "=", "inColorLegendPositionAndSize", "[", "4", "]", "else", ":", "legendSizeMultiplier", "=", "inColorLegendPositionAndSize", "[", "1", "]", "if", "gParaViewCatalystVersionFlag", "<=", "40100", ":", "#our own factor to make legends smaller generally", "legendSizeMultiplier", "*=", "0.6", "else", ":", "#legendSizeMultiplier *= 1.0", "legendSizeMultiplier", "*=", "0.7", "#legendFontSize = int(12.0 * legendSizeMultiplier)", "legendFontSize", "=", "int", "(", "9.0", "*", "legendSizeMultiplier", ")", "if", "gParaViewCatalystVersionFlag", "<=", "40100", ":", "colorLegendDefaultLongSize", "=", "0.5", "colorLegendDefaultShortSize", "=", "0.13", "else", ":", "#[0.12, 0.43]", "#[0.85, 0.05]", "colorLegendDefaultLongSize", "=", "0.43", "colorLegendDefaultShortSize", "=", "0.12", "colorLegendAdjustedLongSize", "=", "colorLegendDefaultLongSize", "*", "legendSizeMultiplier", "colorLegendAdjustedShortSize", "=", "colorLegendDefaultShortSize", "*", "legendSizeMultiplier", "horizontalLegendSize", "=", "[", "colorLegendAdjustedLongSize", ",", "colorLegendAdjustedShortSize", "]", "verticalLegendSize", "=", "[", "colorLegendAdjustedShortSize", ",", "colorLegendAdjustedLongSize", "]", "xPosForBottomTop", "=", "0.5", "-", "0.5", "*", "colorLegendAdjustedLongSize", "yPosForLeftRight", "=", "0.5", "-", "0.5", "*", "colorLegendAdjustedShortSize", "if", "gParaViewCatalystVersionFlag", "<", "50400", ":", "if", "inColorLegendPositionAndSize", "[", "0", "]", "==", "'top'", ":", "legendOrientation", "=", "'Horizontal'", "legendSize", "=", "horizontalLegendSize", "legendPosition", "=", "[", "xPosForBottomTop", ",", "0.85", "]", "elif", "inColorLegendPositionAndSize", "[", "0", "]", "==", "'bottom'", ":", "legendOrientation", "=", "'Horizontal'", "legendSize", "=", "horizontalLegendSize", "legendPosition", "=", "[", "xPosForBottomTop", ",", "0.02", "]", "elif", "inColorLegendPositionAndSize", "[", "0", "]", "==", "'left'", ":", "legendOrientation", "=", "'Vertical'", "legendSize", "=", "verticalLegendSize", "legendPosition", "=", "[", "0.065", ",", "yPosForLeftRight", "]", "elif", "inColorLegendPositionAndSize", "[", "0", "]", "==", "'right'", ":", "legendOrientation", "=", "'Vertical'", "legendSize", "=", "verticalLegendSize", "legendPosition", "=", "[", "0.9", ",", "yPosForLeftRight", "]", "elif", "inColorLegendPositionAndSize", "[", "0", "]", "==", "'top left'", ":", "legendOrientation", "=", "'Horizontal'", "legendSize", "=", "horizontalLegendSize", "legendPosition", "=", "[", "0.065", ",", "0.85", "]", "elif", "inColorLegendPositionAndSize", "[", "0", "]", "==", "'top right'", ":", "legendOrientation", "=", "'Horizontal'", "legendSize", "=", "horizontalLegendSize", "legendPosition", "=", "[", "0.7", ",", "0.85", "]", "elif", "inColorLegendPositionAndSize", "[", "0", "]", "==", "'bottom left'", ":", "legendOrientation", "=", "'Horizontal'", "legendSize", "=", "horizontalLegendSize", "#legendPosition=[0.065, 0.85]", "legendPosition", "=", "[", "0.065", ",", "0.01", "]", "elif", "inColorLegendPositionAndSize", "[", "0", "]", "==", "'bottom right'", ":", "legendOrientation", "=", "'Horizontal'", "legendSize", "=", "horizontalLegendSize", "#legendPosition=[0.7, 0.05]", "legendPosition", "=", "[", "0.7", ",", "0.01", "]", "elif", "inColorLegendPositionAndSize", "[", "0", "]", "==", "'parameters'", ":", "legendOrientation", "=", "inColorLegendPositionAndSize", "[", "1", "]", "legendSize", "=", "horizontalLegendSize", "legendPosition", "=", "inColorLegendPositionAndSize", "[", "2", "]", "else", ":", "legendOrientation", "=", "'Horizontal'", "legendSize", "=", "horizontalLegendSize", "#legendPosition=[xPosForBottomTop, 0.05]", "legendPosition", "=", "[", "xPosForBottomTop", ",", "0.01", "]", "if", "PhactoriDbg", "(", ")", ":", "myDebugPrint3", "(", "\"legend info:\\n legendSizeMultiplier: \"", "+", "str", "(", "legendSizeMultiplier", ")", "+", "\"\\n\"", "\" legendSize: \"", "+", "str", "(", "legendSize", ")", "+", "\"\\n\"", "\" legendPos: \"", "+", "str", "(", "legendPosition", ")", "+", "\"\\n\"", "\" legendOrientation: \"", "+", "str", "(", "legendOrientation", ")", "+", "\"\\n\"", "\" legendFontSize: \"", "+", "str", "(", "legendFontSize", ")", "+", "\"\\n\"", ")", "else", ":", "defaultLegendLength", "=", "0.33", "defaultMidPos", "=", "0.5", "-", "0.5", "*", "defaultLegendLength", "#legendFontSize = 16", "#legendSize = 1.0", "#validPositions = ['UpperLeftCorner', 'UpperRightCorner', ", "# 'LowerLeftCorner', 'LowerRightCorner',", "# 'UpperCenter', 'LowerCenter']", "legendPosition", "=", "[", "0.0", ",", "0.0", "]", "if", "inColorLegendPositionAndSize", "[", "0", "]", "==", "'top'", ":", "legendOrientation", "=", "'Horizontal'", "legendWindowLocation", "=", "'UpperCenter'", "elif", "inColorLegendPositionAndSize", "[", "0", "]", "==", "'bottom'", ":", "legendOrientation", "=", "'Horizontal'", "legendWindowLocation", "=", "'LowerCenter'", "elif", "inColorLegendPositionAndSize", "[", "0", "]", "==", "'left'", ":", "legendOrientation", "=", "'Vertical'", "legendPosition", "=", "[", "0.02", ",", "defaultMidPos", "]", "legendWindowLocation", "=", "'AnyLocation'", "elif", "inColorLegendPositionAndSize", "[", "0", "]", "==", "'right'", ":", "legendOrientation", "=", "'Vertical'", "legendPosition", "=", "[", "0.89", ",", "defaultMidPos", "]", "legendWindowLocation", "=", "'AnyLocation'", "elif", "inColorLegendPositionAndSize", "[", "0", "]", "==", "'top left'", ":", "legendOrientation", "=", "'Vertical'", "legendWindowLocation", "=", "'UpperLeftCorner'", "elif", "inColorLegendPositionAndSize", "[", "0", "]", "==", "'top right'", ":", "legendOrientation", "=", "'Vertical'", "legendWindowLocation", "=", "'UpperRightCorner'", "elif", "inColorLegendPositionAndSize", "[", "0", "]", "==", "'bottom left'", ":", "legendOrientation", "=", "'Vertical'", "legendWindowLocation", "=", "'LowerLeftCorner'", "elif", "inColorLegendPositionAndSize", "[", "0", "]", "==", "'bottom right'", ":", "legendOrientation", "=", "'Vertical'", "legendWindowLocation", "=", "'LowerRightCorner'", "elif", "inColorLegendPositionAndSize", "[", "0", "]", "==", "'parameters'", ":", "legendOrientation", "=", "inColorLegendPositionAndSize", "[", "1", "]", "legendPosition", "=", "inColorLegendPositionAndSize", "[", "2", "]", "legendWindowLocation", "=", "'AnyLocation'", "else", ":", "legendOrientation", "=", "'Vertical'", "legendWindowLocation", "=", "'LowerRightCorner'", "#newScalarBarWidgetRepresentation = CreateScalarBar( Title=inPvDataRep.ColorArrayName, Position2=[0.13, 0.5], TitleOpacity=1.0, TitleShadow=0, AutomaticLabelFormat=1, TitleFontSize=12, TitleColor=[1.0, 1.0, 1.0], AspectRatio=20.0, NumberOfLabels=5, ComponentTitle='', Resizable=1, TitleFontFamily='Arial', Visibility=myVisibility, LabelFontSize=12, LabelFontFamily='Arial', TitleItalic=0, Selectable=0, LabelItalic=0, Enabled=0, LabelColor=[1.0, 1.0, 1.0], Position=[0.9, 0.31396255850234012], LabelBold=0, UseNonCompositedRenderer=1, LabelOpacity=1.0, TitleBold=0, LabelFormat='%-#6.3g', Orientation='Vertical', LabelShadow=0, LookupTable=inPvDataRep.LookupTable, Repositionable=1 )", "if", "gParaViewCatalystVersionFlag", "<=", "40100", ":", "newScalarBarWidgetRepresentation", "=", "CreateScalarBar", "(", "Title", "=", "localColorArrayName", ",", "Orientation", "=", "legendOrientation", ",", "Position", "=", "legendPosition", ",", "Position2", "=", "legendSize", ",", "Visibility", "=", "myVisibility", ",", "LookupTable", "=", "inPvDataRep", ".", "LookupTable", ",", "LabelFontSize", "=", "legendFontSize", ",", "TitleOpacity", "=", "1.0", ",", "TitleShadow", "=", "0", ",", "AutomaticLabelFormat", "=", "1", ",", "TitleFontSize", "=", "legendFontSize", ",", "TitleColor", "=", "inColorSettings", ".", "mTextColor", ",", "AspectRatio", "=", "20.0", ",", "NumberOfLabels", "=", "5", ",", "ComponentTitle", "=", "''", ",", "Resizable", "=", "1", ",", "TitleFontFamily", "=", "'Arial'", ",", "LabelFontFamily", "=", "'Arial'", ",", "TitleItalic", "=", "0", ",", "Selectable", "=", "0", ",", "LabelItalic", "=", "0", ",", "Enabled", "=", "0", ",", "LabelColor", "=", "inColorSettings", ".", "mTextColor", ",", "LabelBold", "=", "0", ",", "UseNonCompositedRenderer", "=", "1", ",", "LabelOpacity", "=", "1.0", ",", "TitleBold", "=", "0", ",", "LabelFormat", "=", "'%-#6.3g'", ",", "LabelShadow", "=", "0", ",", "Repositionable", "=", "1", ")", "elif", "gParaViewCatalystVersionFlag", "<", "50400", ":", "newScalarBarWidgetRepresentation", "=", "CreateScalarBar", "(", "Title", "=", "localColorArrayName", ",", "Orientation", "=", "legendOrientation", ",", "Position", "=", "legendPosition", ",", "Position2", "=", "legendSize", ",", "Visibility", "=", "myVisibility", ",", "LookupTable", "=", "inPvDataRep", ".", "LookupTable", ",", "LabelFontSize", "=", "legendFontSize", ",", "#TitleOpacity=1.0,", "#TitleShadow=0,", "#AutomaticLabelFormat=1,", "TitleFontSize", "=", "legendFontSize", ",", "TitleColor", "=", "inColorSettings", ".", "mTextColor", ",", "AspectRatio", "=", "20.0", ",", "#NumberOfLabels=5,", "ComponentTitle", "=", "''", ",", "#Resizable=1,", "#TitleFontFamily='Arial',", "#LabelFontFamily='Arial',", "#TitleItalic=0,", "#Selectable=0,", "#LabelItalic=0,", "#Enabled=0,", "LabelColor", "=", "inColorSettings", ".", "mTextColor", ",", "#LabelBold=0,", "#UseNonCompositedRenderer=1,", "#LabelOpacity=1.0,", "#TitleBold=0,", "#LabelFormat='%-#6.3g',", "#LabelShadow=0,", "#Repositionable=1", ")", "else", ":", "newScalarBarWidgetRepresentation", "=", "CreateScalarBar", "(", "Title", "=", "localColorArrayName", ",", "ComponentTitle", "=", "''", ")", "newScalarBarWidgetRepresentation", ".", "Orientation", "=", "legendOrientation", "newScalarBarWidgetRepresentation", ".", "WindowLocation", "=", "legendWindowLocation", "if", "legendWindowLocation", "==", "'AnyLocation'", ":", "newScalarBarWidgetRepresentation", ".", "Position", "=", "legendPosition", "if", "PhactoriDbg", "(", ")", ":", "nbwr", "=", "newScalarBarWidgetRepresentation", "myDebugPrint3", "(", "\"newScalarBarWidgetRepresentation:\\n\"", "+", "str", "(", "nbwr", ")", "+", "\"\\n\"", "+", "\" Title: \"", "+", "str", "(", "nbwr", ".", "Title", ")", "+", "\"\\n\"", "+", "\" ComponentTitle: \"", "+", "str", "(", "nbwr", ".", "ComponentTitle", ")", "+", "\"\\n\"", "+", "\" WindowLocation: \"", "+", "str", "(", "nbwr", ".", "WindowLocation", ")", "+", "\"\\n\"", "+", "\" Position: \"", "+", "str", "(", "nbwr", ".", "Position", ")", "+", "\"\\n\"", "+", "\" ScalarBarLength: \"", "+", "str", "(", "nbwr", ".", "ScalarBarLength", ")", "+", "\"\\n\"", "+", "\" ScalarBarThickness: \"", "+", "str", "(", "nbwr", ".", "ScalarBarThickness", ")", "+", "\"\\n\"", "+", "\" Orientation: \"", "+", "str", "(", "nbwr", ".", "Orientation", ")", "+", "\"\\n\"", "+", "\" LabelFontSize: \"", "+", "str", "(", "nbwr", ".", "LabelFontSize", ")", "+", "\"\\n\"", "+", "\" TitleFontSize: \"", "+", "str", "(", "nbwr", ".", "TitleFontSize", ")", "+", "\"\\n\"", "+", "\" LabelFontFamily: \"", "+", "str", "(", "nbwr", ".", "LabelFontFamily", ")", "+", "\"\\n\"", "+", "\" TitleFontFamily: \"", "+", "str", "(", "nbwr", ".", "TitleFontSize", ")", "+", "\"\\n\"", ")", "#\" LockPosition: \" + str(nbwr.LockPosition) + \"\\n\" +\\", "#\" Repositionable: \" + str(nbwr.Repositionable) + \"\\n\" +\\", "#\" AutoOrient: \" + str(nbwr.AutoOrient) + \"\\n\" +\\", "inPvView", ".", "OrientationAxesLabelColor", "=", "inColorSettings", ".", "mTextColor", "inPvView", ".", "Representations", ".", "append", "(", "newScalarBarWidgetRepresentation", ")", "#ioPhactoriImagesetBlock.mColorLegendRepRef = \\", "# newScalarBarWidgetRepresentation", "if", "PhactoriDbg", "(", ")", ":", "myDebugPrint3", "(", "\"current lookup table:\\n\"", ")", "if", "PhactoriDbg", "(", ")", ":", "myDebugPrint3", "(", "str", "(", "inPvDataRep", ".", "LookupTable", ")", "+", "'\\n'", ")", "if", "PhactoriDbg", "(", ")", ":", "myDebugPrint3", "(", "\"RGBPoints:\\n\"", ")", "if", "PhactoriDbg", "(", ")", ":", "if", "gParaViewCatalystVersionFlag", "<=", "40100", ":", "myLocalRGBPoints", "=", "inPvDataRep", ".", "LookupTable", ".", "RGBPoints", "else", ":", "pv_4_3_LUT", "=", "GetColorTransferFunction", "(", "inPvDataRep", ".", "ColorArrayName", "[", "1", "]", ")", "myLocalRGBPoints", "=", "pv_4_3_LUT", ".", "RGBPoints", "myDebugPrint3", "(", "str", "(", "myLocalRGBPoints", ")", "+", "'\\n'", ")", "if", "PhactoriDbg", "(", ")", ":", "myDebugPrint3", "(", "\"widget:\\n\"", ")", "if", "PhactoriDbg", "(", ")", ":", "myDebugPrint3", "(", "str", "(", "newScalarBarWidgetRepresentation", ")", "+", "'\\n'", ")", "if", "PhactoriDbg", "(", "100", ")", ":", "myDebugPrint3", "(", "'phactori.ShowDataColorLegendXX returing with new rep: '", "+", "inOnOffSetting", "+", "'\\n'", ",", "100", ")", "return", "newScalarBarWidgetRepresentation" ]

https://github.com/trilinos/Trilinos/blob/6168be6dd51e35e1cd681e9c4b24433e709df140/packages/seacas/libraries/ioss/src/visualization/catalyst/phactori/phactori.py#L12516-L12817

hughperkins/tf-coriander

970d3df6c11400ad68405f22b0c42a52374e94ca

tensorflow/contrib/graph_editor/select.py

python

get_walks_union_ops

(forward_seed_ops, backward_seed_ops, forward_inclusive=True, backward_inclusive=True, within_ops=None, control_inputs=False, control_outputs=None, control_ios=None)

return util.concatenate_unique(forward_ops, backward_ops)

Return the union of a forward and a backward walk. Args: forward_seed_ops: an iterable of operations from which the forward graph walk starts. If a list of tensors is given instead, the seed_ops are set to be the consumers of those tensors. backward_seed_ops: an iterable of operations from which the backward graph walk starts. If a list of tensors is given instead, the seed_ops are set to be the generators of those tensors. forward_inclusive: if True the given forward_seed_ops are also part of the resulting set. backward_inclusive: if True the given backward_seed_ops are also part of the resulting set. within_ops: restrict the search within those operations. If within_ops is None, the search is done within the whole graph. control_inputs: A boolean indicating whether control inputs are enabled. control_outputs: An instance of util.ControlOutputs or None. If not None, control outputs are enabled. control_ios: An instance of util.ControlOutputs or None. If not None, both control inputs and control outputs are enabled. This is equivalent to set control_inputs to True and control_outputs to the util.ControlOutputs instance. Returns: A Python set of all the tf.Operation in the union of a forward and a backward walk. Raises: TypeError: if forward_seed_ops or backward_seed_ops or within_ops cannot be converted to a list of tf.Operation.

Return the union of a forward and a backward walk.

[ "Return", "the", "union", "of", "a", "forward", "and", "a", "backward", "walk", "." ]

def get_walks_union_ops(forward_seed_ops, backward_seed_ops, forward_inclusive=True, backward_inclusive=True, within_ops=None, control_inputs=False, control_outputs=None, control_ios=None): """Return the union of a forward and a backward walk. Args: forward_seed_ops: an iterable of operations from which the forward graph walk starts. If a list of tensors is given instead, the seed_ops are set to be the consumers of those tensors. backward_seed_ops: an iterable of operations from which the backward graph walk starts. If a list of tensors is given instead, the seed_ops are set to be the generators of those tensors. forward_inclusive: if True the given forward_seed_ops are also part of the resulting set. backward_inclusive: if True the given backward_seed_ops are also part of the resulting set. within_ops: restrict the search within those operations. If within_ops is None, the search is done within the whole graph. control_inputs: A boolean indicating whether control inputs are enabled. control_outputs: An instance of util.ControlOutputs or None. If not None, control outputs are enabled. control_ios: An instance of util.ControlOutputs or None. If not None, both control inputs and control outputs are enabled. This is equivalent to set control_inputs to True and control_outputs to the util.ControlOutputs instance. Returns: A Python set of all the tf.Operation in the union of a forward and a backward walk. Raises: TypeError: if forward_seed_ops or backward_seed_ops or within_ops cannot be converted to a list of tf.Operation. """ control_inputs, control_outputs = check_cios(control_inputs, control_outputs, control_ios) forward_ops = get_forward_walk_ops( forward_seed_ops, inclusive=forward_inclusive, within_ops=within_ops, control_outputs=control_outputs) backward_ops = get_backward_walk_ops( backward_seed_ops, inclusive=backward_inclusive, within_ops=within_ops, control_inputs=control_inputs) return util.concatenate_unique(forward_ops, backward_ops)

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https://github.com/hughperkins/tf-coriander/blob/970d3df6c11400ad68405f22b0c42a52374e94ca/tensorflow/contrib/graph_editor/select.py#L562-L611

pytorch/pytorch

7176c92687d3cc847cc046bf002269c6949a21c2

torch/nn/modules/utils.py

python

consume_prefix_in_state_dict_if_present

( state_dict: Dict[str, Any], prefix: str )

r"""Strip the prefix in state_dict in place, if any. ..note:: Given a `state_dict` from a DP/DDP model, a local model can load it by applying `consume_prefix_in_state_dict_if_present(state_dict, "module.")` before calling :meth:`torch.nn.Module.load_state_dict`. Args: state_dict (OrderedDict): a state-dict to be loaded to the model. prefix (str): prefix.

r"""Strip the prefix in state_dict in place, if any.

[ "r", "Strip", "the", "prefix", "in", "state_dict", "in", "place", "if", "any", "." ]

def consume_prefix_in_state_dict_if_present( state_dict: Dict[str, Any], prefix: str ) -> None: r"""Strip the prefix in state_dict in place, if any. ..note:: Given a `state_dict` from a DP/DDP model, a local model can load it by applying `consume_prefix_in_state_dict_if_present(state_dict, "module.")` before calling :meth:`torch.nn.Module.load_state_dict`. Args: state_dict (OrderedDict): a state-dict to be loaded to the model. prefix (str): prefix. """ keys = sorted(state_dict.keys()) for key in keys: if key.startswith(prefix): newkey = key[len(prefix) :] state_dict[newkey] = state_dict.pop(key) # also strip the prefix in metadata if any. if "_metadata" in state_dict: metadata = state_dict["_metadata"] for key in list(metadata.keys()): # for the metadata dict, the key can be: # '': for the DDP module, which we want to remove. # 'module': for the actual model. # 'module.xx.xx': for the rest. if len(key) == 0: continue newkey = key[len(prefix) :] metadata[newkey] = metadata.pop(key)

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https://github.com/pytorch/pytorch/blob/7176c92687d3cc847cc046bf002269c6949a21c2/torch/nn/modules/utils.py#L43-L75

microsoft/DirectXShaderCompiler

8348ff8d9e0287610ba05d3a828e10af981a1c05

tools/clang/bindings/python/clang/cindex.py

python

Type.get_array_size

(self)

return conf.lib.clang_getArraySize(self)

Retrieve the size of the constant array.

[ "Retrieve", "the", "size", "of", "the", "constant", "array", "." ]

def get_array_size(self): """ Retrieve the size of the constant array. """ return conf.lib.clang_getArraySize(self)

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https://github.com/microsoft/DirectXShaderCompiler/blob/8348ff8d9e0287610ba05d3a828e10af981a1c05/tools/clang/bindings/python/clang/cindex.py#L1862-L1866

BestSonny/SSTD

174d452189f6bf9cf4b6957719392008bd974069

python/caffe/io.py

python

datum_to_array

(datum)

Converts a datum to an array. Note that the label is not returned, as one can easily get it by calling datum.label.

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def datum_to_array(datum): """Converts a datum to an array. Note that the label is not returned, as one can easily get it by calling datum.label. """ if len(datum.data): return np.fromstring(datum.data, dtype=np.uint8).reshape( datum.channels, datum.height, datum.width) else: return np.array(datum.float_data).astype(float).reshape( datum.channels, datum.height, datum.width)

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https://github.com/BestSonny/SSTD/blob/174d452189f6bf9cf4b6957719392008bd974069/python/caffe/io.py#L84-L93

grpc/grpc

27bc6fe7797e43298dc931b96dc57322d0852a9f

src/python/grpcio/grpc/framework/interfaces/face/utilities.py

python

unary_unary_event

(behavior)

return _MethodImplementation(cardinality.Cardinality.UNARY_UNARY, style.Service.EVENT, None, None, None, None, behavior, None, None, None)

Creates an face.MethodImplementation for the given behavior. Args: behavior: The implementation of a unary-unary RPC method as a callable value that takes a request value, a response callback to which to pass the response value of the RPC, and an face.ServicerContext. Returns: An face.MethodImplementation derived from the given behavior.

Creates an face.MethodImplementation for the given behavior.

[ "Creates", "an", "face", ".", "MethodImplementation", "for", "the", "given", "behavior", "." ]

def unary_unary_event(behavior): """Creates an face.MethodImplementation for the given behavior. Args: behavior: The implementation of a unary-unary RPC method as a callable value that takes a request value, a response callback to which to pass the response value of the RPC, and an face.ServicerContext. Returns: An face.MethodImplementation derived from the given behavior. """ return _MethodImplementation(cardinality.Cardinality.UNARY_UNARY, style.Service.EVENT, None, None, None, None, behavior, None, None, None)

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https://github.com/grpc/grpc/blob/27bc6fe7797e43298dc931b96dc57322d0852a9f/src/python/grpcio/grpc/framework/interfaces/face/utilities.py#L105-L118

perilouswithadollarsign/cstrike15_src

f82112a2388b841d72cb62ca48ab1846dfcc11c8

thirdparty/protobuf-2.5.0/python/mox.py

python

In.equals

(self, rhs)

return self._key in rhs

Check to see whether key is in rhs. Args: rhs: dict Returns: bool

Check to see whether key is in rhs.

[ "Check", "to", "see", "whether", "key", "is", "in", "rhs", "." ]

def equals(self, rhs): """Check to see whether key is in rhs. Args: rhs: dict Returns: bool """ return self._key in rhs

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https://github.com/perilouswithadollarsign/cstrike15_src/blob/f82112a2388b841d72cb62ca48ab1846dfcc11c8/thirdparty/protobuf-2.5.0/python/mox.py#L955-L965

wy1iu/LargeMargin_Softmax_Loss

c3e9f20e4f16e2b4daf7d358a614366b9b39a6ec

scripts/cpp_lint.py

python

_NestingState.SeenOpenBrace

(self)

return (not self.stack) or self.stack[-1].seen_open_brace

Check if we have seen the opening brace for the innermost block. Returns: True if we have seen the opening brace, False if the innermost block is still expecting an opening brace.

Check if we have seen the opening brace for the innermost block.

[ "Check", "if", "we", "have", "seen", "the", "opening", "brace", "for", "the", "innermost", "block", "." ]

def SeenOpenBrace(self): """Check if we have seen the opening brace for the innermost block. Returns: True if we have seen the opening brace, False if the innermost block is still expecting an opening brace. """ return (not self.stack) or self.stack[-1].seen_open_brace

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https://github.com/wy1iu/LargeMargin_Softmax_Loss/blob/c3e9f20e4f16e2b4daf7d358a614366b9b39a6ec/scripts/cpp_lint.py#L1931-L1938

thalium/icebox

99d147d5b9269222225443ce171b4fd46d8985d4

third_party/virtualbox/src/libs/libxml2-2.9.4/python/libxml2class.py

python

outputBuffer.htmlDocContentDumpFormatOutput

(self, cur, encoding, format)

Dump an HTML document.

[ "Dump", "an", "HTML", "document", "." ]

def htmlDocContentDumpFormatOutput(self, cur, encoding, format): """Dump an HTML document. """ if cur is None: cur__o = None else: cur__o = cur._o libxml2mod.htmlDocContentDumpFormatOutput(self._o, cur__o, encoding, format)

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https://github.com/thalium/icebox/blob/99d147d5b9269222225443ce171b4fd46d8985d4/third_party/virtualbox/src/libs/libxml2-2.9.4/python/libxml2class.py#L5251-L5255

apple/turicreate

cce55aa5311300e3ce6af93cb45ba791fd1bdf49

src/external/coremltools_wrap/coremltools/coremltools/converters/onnx/_operators_nd.py

python

_convert_size

(builder, node, graph, err)

convert to CoreML GetShape and ReduceProd Layer: https://github.com/apple/coremltools/blob/655b3be5cc0d42c3c4fa49f0f0e4a93a26b3e492/mlmodel/format/NeuralNetwork.proto#L5131 https://github.com/apple/coremltools/blob/655b3be5cc0d42c3c4fa49f0f0e4a93a26b3e492/mlmodel/format/NeuralNetwork.proto#L4722

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def _convert_size(builder, node, graph, err): """ convert to CoreML GetShape and ReduceProd Layer: https://github.com/apple/coremltools/blob/655b3be5cc0d42c3c4fa49f0f0e4a93a26b3e492/mlmodel/format/NeuralNetwork.proto#L5131 https://github.com/apple/coremltools/blob/655b3be5cc0d42c3c4fa49f0f0e4a93a26b3e492/mlmodel/format/NeuralNetwork.proto#L4722 """ builder.add_get_shape( name=node.name, input_name=node.inputs[0], output_name=node.inputs[0] + "_getshape", ) builder.add_reduce_prod( name=node.name + "_reduce_prod", input_name=node.inputs[0] + "_getshape", output_name=node.outputs[0], )

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https://github.com/apple/turicreate/blob/cce55aa5311300e3ce6af93cb45ba791fd1bdf49/src/external/coremltools_wrap/coremltools/coremltools/converters/onnx/_operators_nd.py#L2214-L2229

BYVoid/OpenCC

f3bafc4d016acfba5d5aef0cf5c98fa3c0090e0c

deps/google-benchmark/mingw.py

python

repository

(urls = urls, log = EmptyLogger())

return versions

Downloads and parse mingw-build repository files and parses them

[ "Downloads", "and", "parse", "mingw", "-", "build", "repository", "files", "and", "parses", "them" ]

def repository(urls = urls, log = EmptyLogger()): ''' Downloads and parse mingw-build repository files and parses them ''' log.info('getting mingw-builds repository') versions = {} re_sourceforge = re.compile(r'http://sourceforge.net/projects/([^/]+)/files') re_sub = r'http://downloads.sourceforge.net/project/\1' for url in urls: log.debug(' - requesting: %s', url) socket = request.urlopen(url) repo = socket.read() if not isinstance(repo, str): repo = repo.decode(); socket.close() for entry in repo.split('\n')[:-1]: value = entry.split('|') version = tuple([int(n) for n in value[0].strip().split('.')]) version = versions.setdefault(version, {}) arch = value[1].strip() if arch == 'x32': arch = 'i686' elif arch == 'x64': arch = 'x86_64' arch = version.setdefault(arch, {}) threading = arch.setdefault(value[2].strip(), {}) exceptions = threading.setdefault(value[3].strip(), {}) revision = exceptions.setdefault(int(value[4].strip()[3:]), re_sourceforge.sub(re_sub, value[5].strip())) return versions

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https://github.com/BYVoid/OpenCC/blob/f3bafc4d016acfba5d5aef0cf5c98fa3c0090e0c/deps/google-benchmark/mingw.py#L55-L84

baidu-research/tensorflow-allreduce

66d5b855e90b0949e9fa5cca5599fd729a70e874

tensorflow/python/ops/metrics_impl.py

python

_streaming_sparse_false_positive_at_k

(labels, predictions_idx, k=None, class_id=None, weights=None, name=None)

Calculates weighted per step false positives for precision@k. If `class_id` is specified, calculate binary true positives for `class_id` only. If `class_id` is not specified, calculate metrics for `k` predicted vs `n` label classes, where `n` is the 2nd dimension of `labels`. If `weights` is `None`, weights default to 1. Use weights of 0 to mask values. Args: labels: `int64` `Tensor` or `SparseTensor` with shape [D1, ... DN, num_labels], where N >= 1 and num_labels is the number of target classes for the associated prediction. Commonly, N=1 and `labels` has shape [batch_size, num_labels]. [D1, ... DN] must match `predictions_idx`. predictions_idx: 1-D or higher `int64` `Tensor` with last dimension `k`, top `k` predicted classes. For rank `n`, the first `n-1` dimensions must match `labels`. k: Integer, k for @k metric. This is only used for default op name. class_id: Class for which we want binary metrics. weights: `Tensor` whose rank is either 0, or n-1, where n is the rank of `labels`. If the latter, it must be broadcastable to `labels` (i.e., all dimensions must be either `1`, or the same as the corresponding `labels` dimension). name: Name of new variable, and namespace for other dependent ops. Returns: A tuple of `Variable` and update `Operation`. Raises: ValueError: If `weights` is not `None` and has an incompatible shape.

Calculates weighted per step false positives for precision@k.

[ "Calculates", "weighted", "per", "step", "false", "positives", "for", "precision@k", "." ]

def _streaming_sparse_false_positive_at_k(labels, predictions_idx, k=None, class_id=None, weights=None, name=None): """Calculates weighted per step false positives for precision@k. If `class_id` is specified, calculate binary true positives for `class_id` only. If `class_id` is not specified, calculate metrics for `k` predicted vs `n` label classes, where `n` is the 2nd dimension of `labels`. If `weights` is `None`, weights default to 1. Use weights of 0 to mask values. Args: labels: `int64` `Tensor` or `SparseTensor` with shape [D1, ... DN, num_labels], where N >= 1 and num_labels is the number of target classes for the associated prediction. Commonly, N=1 and `labels` has shape [batch_size, num_labels]. [D1, ... DN] must match `predictions_idx`. predictions_idx: 1-D or higher `int64` `Tensor` with last dimension `k`, top `k` predicted classes. For rank `n`, the first `n-1` dimensions must match `labels`. k: Integer, k for @k metric. This is only used for default op name. class_id: Class for which we want binary metrics. weights: `Tensor` whose rank is either 0, or n-1, where n is the rank of `labels`. If the latter, it must be broadcastable to `labels` (i.e., all dimensions must be either `1`, or the same as the corresponding `labels` dimension). name: Name of new variable, and namespace for other dependent ops. Returns: A tuple of `Variable` and update `Operation`. Raises: ValueError: If `weights` is not `None` and has an incompatible shape. """ with ops.name_scope( name, _at_k_name('false_positive', k, class_id=class_id), (predictions_idx, labels, weights)) as scope: fp = _sparse_false_positive_at_k( predictions_idx=predictions_idx, labels=labels, class_id=class_id, weights=weights) batch_total_fp = math_ops.to_double(math_ops.reduce_sum(fp)) var = _local_variable(array_ops.zeros([], dtype=dtypes.float64), name=scope) return var, state_ops.assign_add(var, batch_total_fp, name='update')

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https://github.com/baidu-research/tensorflow-allreduce/blob/66d5b855e90b0949e9fa5cca5599fd729a70e874/tensorflow/python/ops/metrics_impl.py#L2621-L2668

rusty1s/pytorch_cluster

576e0bbfa13cbe9c2fdc49de2cde5e2bf28f1e01

torch_cluster/radius.py

python

radius_graph

(x: torch.Tensor, r: float, batch: Optional[torch.Tensor] = None, loop: bool = False, max_num_neighbors: int = 32, flow: str = 'source_to_target', num_workers: int = 1)

return torch.stack([row, col], dim=0)

r"""Computes graph edges to all points within a given distance. Args: x (Tensor): Node feature matrix :math:`\mathbf{X} \in \mathbb{R}^{N \times F}`. r (float): The radius. batch (LongTensor, optional): Batch vector :math:`\mathbf{b} \in {\{ 0, \ldots, B-1\}}^N`, which assigns each node to a specific example. :obj:`batch` needs to be sorted. (default: :obj:`None`) loop (bool, optional): If :obj:`True`, the graph will contain self-loops. (default: :obj:`False`) max_num_neighbors (int, optional): The maximum number of neighbors to return for each element. If the number of actual neighbors is greater than :obj:`max_num_neighbors`, returned neighbors are picked randomly. (default: :obj:`32`) flow (string, optional): The flow direction when used in combination with message passing (:obj:`"source_to_target"` or :obj:`"target_to_source"`). (default: :obj:`"source_to_target"`) num_workers (int): Number of workers to use for computation. Has no effect in case :obj:`batch` is not :obj:`None`, or the input lies on the GPU. (default: :obj:`1`) :rtype: :class:`LongTensor` .. code-block:: python import torch from torch_cluster import radius_graph x = torch.Tensor([[-1, -1], [-1, 1], [1, -1], [1, 1]]) batch = torch.tensor([0, 0, 0, 0]) edge_index = radius_graph(x, r=1.5, batch=batch, loop=False)

r"""Computes graph edges to all points within a given distance.

[ "r", "Computes", "graph", "edges", "to", "all", "points", "within", "a", "given", "distance", "." ]

def radius_graph(x: torch.Tensor, r: float, batch: Optional[torch.Tensor] = None, loop: bool = False, max_num_neighbors: int = 32, flow: str = 'source_to_target', num_workers: int = 1) -> torch.Tensor: r"""Computes graph edges to all points within a given distance. Args: x (Tensor): Node feature matrix :math:`\mathbf{X} \in \mathbb{R}^{N \times F}`. r (float): The radius. batch (LongTensor, optional): Batch vector :math:`\mathbf{b} \in {\{ 0, \ldots, B-1\}}^N`, which assigns each node to a specific example. :obj:`batch` needs to be sorted. (default: :obj:`None`) loop (bool, optional): If :obj:`True`, the graph will contain self-loops. (default: :obj:`False`) max_num_neighbors (int, optional): The maximum number of neighbors to return for each element. If the number of actual neighbors is greater than :obj:`max_num_neighbors`, returned neighbors are picked randomly. (default: :obj:`32`) flow (string, optional): The flow direction when used in combination with message passing (:obj:`"source_to_target"` or :obj:`"target_to_source"`). (default: :obj:`"source_to_target"`) num_workers (int): Number of workers to use for computation. Has no effect in case :obj:`batch` is not :obj:`None`, or the input lies on the GPU. (default: :obj:`1`) :rtype: :class:`LongTensor` .. code-block:: python import torch from torch_cluster import radius_graph x = torch.Tensor([[-1, -1], [-1, 1], [1, -1], [1, 1]]) batch = torch.tensor([0, 0, 0, 0]) edge_index = radius_graph(x, r=1.5, batch=batch, loop=False) """ assert flow in ['source_to_target', 'target_to_source'] edge_index = radius(x, x, r, batch, batch, max_num_neighbors if loop else max_num_neighbors + 1, num_workers) if flow == 'source_to_target': row, col = edge_index[1], edge_index[0] else: row, col = edge_index[0], edge_index[1] if not loop: mask = row != col row, col = row[mask], col[mask] return torch.stack([row, col], dim=0)

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https://github.com/rusty1s/pytorch_cluster/blob/576e0bbfa13cbe9c2fdc49de2cde5e2bf28f1e01/torch_cluster/radius.py#L75-L128

synfig/synfig

a5ec91db5b751dc12e4400ccfb5c063fd6d2d928

synfig-studio/plugins/lottie-exporter/common/misc.py

python

get_vector

(waypoint)

return Vector(x, y)

Given a waypoint, it parses the string vector into Vector class defined in this converter Args: waypoint (lxml.etree._Element) : Synfig format waypoint Returns: (common.Vector.Vector) : x and y axis values stores in Vector format

Given a waypoint, it parses the string vector into Vector class defined in this converter

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def get_vector(waypoint): """ Given a waypoint, it parses the string vector into Vector class defined in this converter Args: waypoint (lxml.etree._Element) : Synfig format waypoint Returns: (common.Vector.Vector) : x and y axis values stores in Vector format """ # converting radius and angle to a vector if waypoint.tag == "radial_composite": for child in waypoint: if child.tag == "radius": radius = float(child[0].attrib["value"]) radius *= settings.PIX_PER_UNIT elif child.tag == "theta": angle = float(child[0].attrib["value"]) x, y = radial_to_tangent(radius, angle) else: x = float(waypoint[0][0].text) y = float(waypoint[0][1].text) return Vector(x, y)

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https://github.com/synfig/synfig/blob/a5ec91db5b751dc12e4400ccfb5c063fd6d2d928/synfig-studio/plugins/lottie-exporter/common/misc.py#L363-L386

wxWidgets/wxPython-Classic

19571e1ae65f1ac445f5491474121998c97a1bf0

src/osx_cocoa/stc.py

python

StyledTextCtrl.WordLeftExtend

(*args, **kwargs)

return _stc.StyledTextCtrl_WordLeftExtend(*args, **kwargs)

WordLeftExtend(self) Move caret left one word extending selection to new caret position.

WordLeftExtend(self)

[ "WordLeftExtend", "(", "self", ")" ]

def WordLeftExtend(*args, **kwargs): """ WordLeftExtend(self) Move caret left one word extending selection to new caret position. """ return _stc.StyledTextCtrl_WordLeftExtend(*args, **kwargs)

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https://github.com/wxWidgets/wxPython-Classic/blob/19571e1ae65f1ac445f5491474121998c97a1bf0/src/osx_cocoa/stc.py#L4400-L4406

wxWidgets/wxPython-Classic

19571e1ae65f1ac445f5491474121998c97a1bf0

src/gtk/_core.py

python

DropFilesEvent.GetPosition

(*args, **kwargs)

return _core_.DropFilesEvent_GetPosition(*args, **kwargs)

GetPosition(self) -> Point Returns the position at which the files were dropped.

GetPosition(self) -> Point

[ "GetPosition", "(", "self", ")", "-", ">", "Point" ]

def GetPosition(*args, **kwargs): """ GetPosition(self) -> Point Returns the position at which the files were dropped. """ return _core_.DropFilesEvent_GetPosition(*args, **kwargs)

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https://github.com/wxWidgets/wxPython-Classic/blob/19571e1ae65f1ac445f5491474121998c97a1bf0/src/gtk/_core.py#L6654-L6660

gnina/gnina

b9ae032f52fc7a8153987bde09c0efa3620d8bb6

caffe/examples/pycaffe/layers/pascal_multilabel_datalayers.py

python

PascalMultilabelDataLayerSync.reshape

(self, bottom, top)

There is no need to reshape the data, since the input is of fixed size (rows and columns)

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def reshape(self, bottom, top): """ There is no need to reshape the data, since the input is of fixed size (rows and columns) """ pass

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https://github.com/gnina/gnina/blob/b9ae032f52fc7a8153987bde09c0efa3620d8bb6/caffe/examples/pycaffe/layers/pascal_multilabel_datalayers.py#L67-L72

idaholab/moose

9eeebc65e098b4c30f8205fb41591fd5b61eb6ff

python/MooseDocs/common/log.py

python

MultiprocessingHandler.aquire

(self)

Disable.

[ "Disable", "." ]

def aquire(self): """Disable.""" pass

[ "def", "aquire", "(", "self", ")", ":", "pass" ]

https://github.com/idaholab/moose/blob/9eeebc65e098b4c30f8205fb41591fd5b61eb6ff/python/MooseDocs/common/log.py#L66-L68

Polidea/SiriusObfuscator

b0e590d8130e97856afe578869b83a209e2b19be

SymbolExtractorAndRenamer/lldb/scripts/Python/static-binding/lldb.py

python

SBTypeCategory.AddLanguage

(self, *args)

return _lldb.SBTypeCategory_AddLanguage(self, *args)

AddLanguage(self, LanguageType language)

[ "AddLanguage", "(", "self", "LanguageType", "language", ")" ]

def AddLanguage(self, *args): """AddLanguage(self, LanguageType language)""" return _lldb.SBTypeCategory_AddLanguage(self, *args)

[ "def", "AddLanguage", "(", "self", ",", "*", "args", ")", ":", "return", "_lldb", ".", "SBTypeCategory_AddLanguage", "(", "self", ",", "*", "args", ")" ]

https://github.com/Polidea/SiriusObfuscator/blob/b0e590d8130e97856afe578869b83a209e2b19be/SymbolExtractorAndRenamer/lldb/scripts/Python/static-binding/lldb.py#L10760-L10762

aws/lumberyard

f85344403c1c2e77ec8c75deb2c116e97b713217

dev/Tools/Python/3.7.10/windows/Lib/site-packages/pkg_resources/_vendor/packaging/version.py

python

_parse_local_version

(local)

Takes a string like abc.1.twelve and turns it into ("abc", 1, "twelve").

[ "Takes", "a", "string", "like", "abc", ".", "1", ".", "twelve", "and", "turns", "it", "into", "(", "abc", "1", "twelve", ")", "." ]

def _parse_local_version(local): """ Takes a string like abc.1.twelve and turns it into ("abc", 1, "twelve"). """ if local is not None: return tuple( part.lower() if not part.isdigit() else int(part) for part in _local_version_seperators.split(local) )

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https://github.com/aws/lumberyard/blob/f85344403c1c2e77ec8c75deb2c116e97b713217/dev/Tools/Python/3.7.10/windows/Lib/site-packages/pkg_resources/_vendor/packaging/version.py#L332-L340

PX4/PX4-Autopilot

0b9f60a0370be53d683352c63fd92db3d6586e18

Tools/mavlink_px4.py

python

MAVLink.scaled_pressure_send

(self, time_boot_ms, press_abs, press_diff, temperature)

return self.send(self.scaled_pressure_encode(time_boot_ms, press_abs, press_diff, temperature))

The pressure readings for the typical setup of one absolute and differential pressure sensor. The units are as specified in each field. time_boot_ms : Timestamp (milliseconds since system boot) (uint32_t) press_abs : Absolute pressure (hectopascal) (float) press_diff : Differential pressure 1 (hectopascal) (float) temperature : Temperature measurement (0.01 degrees celsius) (int16_t)

The pressure readings for the typical setup of one absolute and differential pressure sensor. The units are as specified in each field.

[ "The", "pressure", "readings", "for", "the", "typical", "setup", "of", "one", "absolute", "and", "differential", "pressure", "sensor", ".", "The", "units", "are", "as", "specified", "in", "each", "field", "." ]

def scaled_pressure_send(self, time_boot_ms, press_abs, press_diff, temperature): ''' The pressure readings for the typical setup of one absolute and differential pressure sensor. The units are as specified in each field. time_boot_ms : Timestamp (milliseconds since system boot) (uint32_t) press_abs : Absolute pressure (hectopascal) (float) press_diff : Differential pressure 1 (hectopascal) (float) temperature : Temperature measurement (0.01 degrees celsius) (int16_t) ''' return self.send(self.scaled_pressure_encode(time_boot_ms, press_abs, press_diff, temperature))

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https://github.com/PX4/PX4-Autopilot/blob/0b9f60a0370be53d683352c63fd92db3d6586e18/Tools/mavlink_px4.py#L3029-L3041

catboost/catboost

167f64f237114a4d10b2b4ee42adb4569137debe

contrib/python/pandas/py3/pandas/io/formats/printing.py

python

format_object_attrs

( obj: Sized, include_dtype: bool = True )

return attrs

Return a list of tuples of the (attr, formatted_value) for common attrs, including dtype, name, length Parameters ---------- obj : object Must be sized. include_dtype : bool If False, dtype won't be in the returned list Returns ------- list of 2-tuple

Return a list of tuples of the (attr, formatted_value) for common attrs, including dtype, name, length

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def format_object_attrs( obj: Sized, include_dtype: bool = True ) -> list[tuple[str, str | int]]: """ Return a list of tuples of the (attr, formatted_value) for common attrs, including dtype, name, length Parameters ---------- obj : object Must be sized. include_dtype : bool If False, dtype won't be in the returned list Returns ------- list of 2-tuple """ attrs: list[tuple[str, str | int]] = [] if hasattr(obj, "dtype") and include_dtype: # error: "Sized" has no attribute "dtype" attrs.append(("dtype", f"'{obj.dtype}'")) # type: ignore[attr-defined] if getattr(obj, "name", None) is not None: # error: "Sized" has no attribute "name" attrs.append(("name", default_pprint(obj.name))) # type: ignore[attr-defined] # error: "Sized" has no attribute "names" elif getattr(obj, "names", None) is not None and any( obj.names # type: ignore[attr-defined] ): # error: "Sized" has no attribute "names" attrs.append(("names", default_pprint(obj.names))) # type: ignore[attr-defined] max_seq_items = get_option("display.max_seq_items") or len(obj) if len(obj) > max_seq_items: attrs.append(("length", len(obj))) return attrs

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https://github.com/catboost/catboost/blob/167f64f237114a4d10b2b4ee42adb4569137debe/contrib/python/pandas/py3/pandas/io/formats/printing.py#L508-L543

eldar/deepcut-cnn

928bf2f224fce132f6e4404b4c95fb017297a5e0

scripts/cpp_lint.py

python

GetPreviousNonBlankLine

(clean_lines, linenum)

return ('', -1)

Return the most recent non-blank line and its line number. Args: clean_lines: A CleansedLines instance containing the file contents. linenum: The number of the line to check. Returns: A tuple with two elements. The first element is the contents of the last non-blank line before the current line, or the empty string if this is the first non-blank line. The second is the line number of that line, or -1 if this is the first non-blank line.

Return the most recent non-blank line and its line number.

[ "Return", "the", "most", "recent", "non", "-", "blank", "line", "and", "its", "line", "number", "." ]

def GetPreviousNonBlankLine(clean_lines, linenum): """Return the most recent non-blank line and its line number. Args: clean_lines: A CleansedLines instance containing the file contents. linenum: The number of the line to check. Returns: A tuple with two elements. The first element is the contents of the last non-blank line before the current line, or the empty string if this is the first non-blank line. The second is the line number of that line, or -1 if this is the first non-blank line. """ prevlinenum = linenum - 1 while prevlinenum >= 0: prevline = clean_lines.elided[prevlinenum] if not IsBlankLine(prevline): # if not a blank line... return (prevline, prevlinenum) prevlinenum -= 1 return ('', -1)

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https://github.com/eldar/deepcut-cnn/blob/928bf2f224fce132f6e4404b4c95fb017297a5e0/scripts/cpp_lint.py#L3046-L3066

catboost/catboost

167f64f237114a4d10b2b4ee42adb4569137debe

contrib/python/pandas/py3/pandas/core/computation/expressions.py

python

_can_use_numexpr

(op, op_str, a, b, dtype_check)

return False

return a boolean if we WILL be using numexpr

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def _can_use_numexpr(op, op_str, a, b, dtype_check): """return a boolean if we WILL be using numexpr""" if op_str is not None: # required min elements (otherwise we are adding overhead) if a.size > _MIN_ELEMENTS: # check for dtype compatibility dtypes: set[str] = set() for o in [a, b]: # ndarray and Series Case if hasattr(o, "dtype"): dtypes |= {o.dtype.name} # allowed are a superset if not len(dtypes) or _ALLOWED_DTYPES[dtype_check] >= dtypes: return True return False

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https://github.com/catboost/catboost/blob/167f64f237114a4d10b2b4ee42adb4569137debe/contrib/python/pandas/py3/pandas/core/computation/expressions.py#L72-L89

deepmodeling/deepmd-kit

159e45d248b0429844fb6a8cb3b3a201987c8d79

deepmd/descriptor/descriptor.py

python

Descriptor.get_dim_rot_mat_1

(self)

Returns the first dimension of the rotation matrix. The rotation is of shape dim_1 x 3 Returns ------- int the first dimension of the rotation matrix

Returns the first dimension of the rotation matrix. The rotation is of shape dim_1 x 3

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def get_dim_rot_mat_1(self) -> int: """ Returns the first dimension of the rotation matrix. The rotation is of shape dim_1 x 3 Returns ------- int the first dimension of the rotation matrix """ # TODO: I think this method should be implemented as it's called by dipole and # polar fitting network. However, currently not all descriptors have this # method. raise NotImplementedError

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https://github.com/deepmodeling/deepmd-kit/blob/159e45d248b0429844fb6a8cb3b3a201987c8d79/deepmd/descriptor/descriptor.py#L109-L122

weolar/miniblink49

1c4678db0594a4abde23d3ebbcc7cd13c3170777

third_party/WebKit/Tools/Scripts/webkitpy/thirdparty/mod_pywebsocket/dispatch.py

python

Dispatcher.transfer_data

(self, request)

Let a handler transfer_data with a WebSocket client. Select a handler based on request.ws_resource and call its web_socket_transfer_data function. Args: request: mod_python request. Raises: DispatchException: when handler was not found AbortedByUserException: when user handler abort connection

Let a handler transfer_data with a WebSocket client.

[ "Let", "a", "handler", "transfer_data", "with", "a", "WebSocket", "client", "." ]

def transfer_data(self, request): """Let a handler transfer_data with a WebSocket client. Select a handler based on request.ws_resource and call its web_socket_transfer_data function. Args: request: mod_python request. Raises: DispatchException: when handler was not found AbortedByUserException: when user handler abort connection """ # TODO(tyoshino): Terminate underlying TCP connection if possible. try: if mux.use_mux(request): mux.start(request, self) else: handler_suite = self.get_handler_suite(request.ws_resource) if handler_suite is None: raise DispatchException('No handler for: %r' % request.ws_resource) transfer_data_ = handler_suite.transfer_data transfer_data_(request) if not request.server_terminated: request.ws_stream.close_connection() # Catch non-critical exceptions the handler didn't handle. except handshake.AbortedByUserException, e: self._logger.debug('%s', util.get_stack_trace()) raise except msgutil.BadOperationException, e: self._logger.debug('%s', e) request.ws_stream.close_connection( common.STATUS_INTERNAL_ENDPOINT_ERROR) except msgutil.InvalidFrameException, e: # InvalidFrameException must be caught before # ConnectionTerminatedException that catches InvalidFrameException. self._logger.debug('%s', e) request.ws_stream.close_connection(common.STATUS_PROTOCOL_ERROR) except msgutil.UnsupportedFrameException, e: self._logger.debug('%s', e) request.ws_stream.close_connection(common.STATUS_UNSUPPORTED_DATA) except stream.InvalidUTF8Exception, e: self._logger.debug('%s', e) request.ws_stream.close_connection( common.STATUS_INVALID_FRAME_PAYLOAD_DATA) except msgutil.ConnectionTerminatedException, e: self._logger.debug('%s', e) except Exception, e: # Any other exceptions are forwarded to the caller of this # function. util.prepend_message_to_exception( '%s raised exception for %s: ' % ( _TRANSFER_DATA_HANDLER_NAME, request.ws_resource), e) raise

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https://github.com/weolar/miniblink49/blob/1c4678db0594a4abde23d3ebbcc7cd13c3170777/third_party/WebKit/Tools/Scripts/webkitpy/thirdparty/mod_pywebsocket/dispatch.py#L270-L327

rrwick/Porechop

109e437280436d1ec27e5a5b7a34ffb752176390

ez_setup.py

python

has_powershell

()

return True

Determine if Powershell is available.

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def has_powershell(): """Determine if Powershell is available.""" if platform.system() != 'Windows': return False cmd = ['powershell', '-Command', 'echo test'] with open(os.path.devnull, 'wb') as devnull: try: subprocess.check_call(cmd, stdout=devnull, stderr=devnull) except Exception: return False return True

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https://github.com/rrwick/Porechop/blob/109e437280436d1ec27e5a5b7a34ffb752176390/ez_setup.py#L259-L269

baidu/bigflow

449245016c0df7d1252e85581e588bfc60cefad3

bigflow_python/python/bigflow/transforms.py

python

transform

(pcollection, first_arg, *other_args, **options)

return bigflow.transform_impls.transform.transform(pcollection, first_arg, *other_args, **options)

对给定PCollection进行任意的变换，结果为另一个PCollection transform有两种形式，形式一：基本原型为`transform(pcollection, initializer, transformer, finalizer, *side_inputs, **options)` transform将PCollection的处理分为3个阶段: 初始化，遍历及结束，分别对应于 initializer, transformer和finalizer三个处理函数。三个函数之间有一个状态 status(也可以理解为上下文context)，同时有一个emitter参数可以向输出PCollection发送数据假定输入数据类型为I，输出数据类型为O，initializer, transformer, finalizer各自的期望签名为: initializer(emitter, *side_inputs) => status(object) transformer(status, emitter, I, *side_inputs) => status(object) (transformer的第一个参数允许被修改) finalizer(status, emitter, *side_inputs) => None (finalizer的第一个参数允许被修改) emitter.emit(O) Args: pcollection (PCollection): 输入PCollection initializer (callable): 初始化函数 transformer (callable): 变换函数 finalizer (callable): 结束函数 *side_inputs: 参与计算的SideInputs **options: 可配置选项 Returns: PCollection: 表示返回结果的PCollection >>> from bigflow import transforms >>> import copy >>> def initializer(emitter): >>> return [] >>> >>> def transformer(status, emitter, inp): >>> status.append(copy.deepcopy(inp)) #如果要缓存一个数据，最好复制一份。 >>> return status >>> >>> def finalizer(status, emitter): >>> emitter.emit(status) >>> >>> _p = _pipeline.parallelize([1, 2, 3]) >>> _plist = transforms.transform(_p, initializer, transformer, finalizer) >>> print _plist.count().get() # 只有一个元素，元素的内容是[1, 2, 3]这样一个列表。 1 >>> print _plist.get() [[1, 2, 3]] 形式二：基本原型为`transform(pcollection, transformer, *side_inputs, **options)` 其中transformer应为 :class:`bigflow.base.Transformer <bigflow.base.Transformer>` 类的子类， Transformer.begin_process在数据开始处理前会被调用。 Transformer.process在数据开始处理时，每条数据调用一次，传入需要的数据。 Transformer.end_process在数据处理完成后被调用。用户需要输出的数据以列表或其它可迭代对象的形式返回，其中所有元素都会被作为输出PCollection中的一个元素。（注意，如果不需要输出请返回一个空的[]，而不要返回None） >>> class SumTransformer(base.Transformer): ... ... def begin_process(self): ... self._sum = 0 ... return [] ... ... def process(self, record): ... self._sum += record ... return [] ... ... def end_process(self): ... yield self._sum ... >>> p1 = _pipeline.parallelize([1, 2, 3]) >>> transforms.transform(p1, SumTransformer).get() 6 >>> class PartialSumTransformer(base.Transformer): ... ... def begin_process(self): ... self._sum = 0 ... return [] ... ... def process(self, record): ... self._sum += record ... yield self._sum ... >>> transforms.transform(p1, PartialSumTransformer()),get() [1, 3, 6] >>> class ZipTransformer(base.Transformer): ... ... def begin_process(self, *si): ... self.index = 0 ... lens = map(len, si) ... self.min_len = min(lens) ... return [] ... ... def process(self, inp, *si): ... if self.index < self.min_len: ... yield (inp, ) + tuple(map(lambda x: x[self.index], si)) ... self.index += 1 ... >>> p2 = _pipeline.parallelize([4, 5]).sort() >>> transforms.transform(p1, ZipTransformer(), p2).get() [(1, 4), (2, 5)] 本方法为Bigflow所提供的最底层和最复杂的变换方法，它可以表达对PCollection 的任意变换。在有其它函数(如aggregate)能完成同样功能时，尽量不要使用该函数，框架无法了解该函数内部实现，无法进行许多深层次的优化工作。

[]

def transform(pcollection, first_arg, *other_args, **options): """ 对给定PCollection进行任意的变换，结果为另一个PCollection transform有两种形式，形式一：基本原型为`transform(pcollection, initializer, transformer, finalizer, *side_inputs, **options)` transform将PCollection的处理分为3个阶段: 初始化，遍历及结束，分别对应于 initializer, transformer和finalizer三个处理函数。三个函数之间有一个状态 status(也可以理解为上下文context)，同时有一个emitter参数可以向输出PCollection发送数据假定输入数据类型为I，输出数据类型为O，initializer, transformer, finalizer各自的期望签名为: initializer(emitter, *side_inputs) => status(object) transformer(status, emitter, I, *side_inputs) => status(object) (transformer的第一个参数允许被修改) finalizer(status, emitter, *side_inputs) => None (finalizer的第一个参数允许被修改) emitter.emit(O) Args: pcollection (PCollection): 输入PCollection initializer (callable): 初始化函数 transformer (callable): 变换函数 finalizer (callable): 结束函数 *side_inputs: 参与计算的SideInputs **options: 可配置选项 Returns: PCollection: 表示返回结果的PCollection >>> from bigflow import transforms >>> import copy >>> def initializer(emitter): >>> return [] >>> >>> def transformer(status, emitter, inp): >>> status.append(copy.deepcopy(inp)) #如果要缓存一个数据，最好复制一份。 >>> return status >>> >>> def finalizer(status, emitter): >>> emitter.emit(status) >>> >>> _p = _pipeline.parallelize([1, 2, 3]) >>> _plist = transforms.transform(_p, initializer, transformer, finalizer) >>> print _plist.count().get() # 只有一个元素，元素的内容是[1, 2, 3]这样一个列表。 1 >>> print _plist.get() [[1, 2, 3]] 形式二：基本原型为`transform(pcollection, transformer, *side_inputs, **options)` 其中transformer应为 :class:`bigflow.base.Transformer <bigflow.base.Transformer>` 类的子类， Transformer.begin_process在数据开始处理前会被调用。 Transformer.process在数据开始处理时，每条数据调用一次，传入需要的数据。 Transformer.end_process在数据处理完成后被调用。用户需要输出的数据以列表或其它可迭代对象的形式返回，其中所有元素都会被作为输出PCollection中的一个元素。（注意，如果不需要输出请返回一个空的[]，而不要返回None） >>> class SumTransformer(base.Transformer): ... ... def begin_process(self): ... self._sum = 0 ... return [] ... ... def process(self, record): ... self._sum += record ... return [] ... ... def end_process(self): ... yield self._sum ... >>> p1 = _pipeline.parallelize([1, 2, 3]) >>> transforms.transform(p1, SumTransformer).get() 6 >>> class PartialSumTransformer(base.Transformer): ... ... def begin_process(self): ... self._sum = 0 ... return [] ... ... def process(self, record): ... self._sum += record ... yield self._sum ... >>> transforms.transform(p1, PartialSumTransformer()),get() [1, 3, 6] >>> class ZipTransformer(base.Transformer): ... ... def begin_process(self, *si): ... self.index = 0 ... lens = map(len, si) ... self.min_len = min(lens) ... return [] ... ... def process(self, inp, *si): ... if self.index < self.min_len: ... yield (inp, ) + tuple(map(lambda x: x[self.index], si)) ... self.index += 1 ... >>> p2 = _pipeline.parallelize([4, 5]).sort() >>> transforms.transform(p1, ZipTransformer(), p2).get() [(1, 4), (2, 5)] 本方法为Bigflow所提供的最底层和最复杂的变换方法，它可以表达对PCollection 的任意变换。在有其它函数(如aggregate)能完成同样功能时，尽量不要使用该函数，框架无法了解该函数内部实现，无法进行许多深层次的优化工作。 """ import bigflow.transform_impls.transform return bigflow.transform_impls.transform.transform(pcollection, first_arg, *other_args, **options)

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https://github.com/baidu/bigflow/blob/449245016c0df7d1252e85581e588bfc60cefad3/bigflow_python/python/bigflow/transforms.py#L986-L1109

apache/arrow

af33dd1157eb8d7d9bfac25ebf61445b793b7943

python/benchmarks/common.py

python

BuiltinsGenerator._generate_varying_sequences

(self, random_factory, n, min_size, max_size, none_prob)

return data

Generate a list of *n* sequences of varying size between *min_size* and *max_size*, with *none_prob* probability of an entry being None. The base material for each sequence is obtained by calling `random_factory(<some size>)`

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def _generate_varying_sequences(self, random_factory, n, min_size, max_size, none_prob): """ Generate a list of *n* sequences of varying size between *min_size* and *max_size*, with *none_prob* probability of an entry being None. The base material for each sequence is obtained by calling `random_factory(<some size>)` """ base_size = 10000 base = random_factory(base_size + max_size) data = [] for i in range(n): off = self.rnd.randint(base_size) if min_size == max_size: size = min_size else: size = self.rnd.randint(min_size, max_size + 1) data.append(base[off:off + size]) self.sprinkle_nones(data, none_prob) assert len(data) == n return data

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https://github.com/apache/arrow/blob/af33dd1157eb8d7d9bfac25ebf61445b793b7943/python/benchmarks/common.py#L181-L201

wxWidgets/wxPython-Classic

19571e1ae65f1ac445f5491474121998c97a1bf0

src/gtk/_windows.py

python

Dialog.SetReturnCode

(*args, **kwargs)

return _windows_.Dialog_SetReturnCode(*args, **kwargs)

SetReturnCode(self, int returnCode)

[ "SetReturnCode", "(", "self", "int", "returnCode", ")" ]

def SetReturnCode(*args, **kwargs): """SetReturnCode(self, int returnCode)""" return _windows_.Dialog_SetReturnCode(*args, **kwargs)

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https://github.com/wxWidgets/wxPython-Classic/blob/19571e1ae65f1ac445f5491474121998c97a1bf0/src/gtk/_windows.py#L745-L747

windystrife/UnrealEngine_NVIDIAGameWorks

b50e6338a7c5b26374d66306ebc7807541ff815e

Engine/Source/ThirdParty/CEF3/cef_source/tools/file_util.py

python

read_version_file

(file, args)

Read and parse a version file (key=value pairs, one per line).

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def read_version_file(file, args): """ Read and parse a version file (key=value pairs, one per line). """ lines = read_file(file).split("\n") for line in lines: parts = line.split('=', 1) if len(parts) == 2: args[parts[0]] = parts[1]

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https://github.com/windystrife/UnrealEngine_NVIDIAGameWorks/blob/b50e6338a7c5b26374d66306ebc7807541ff815e/Engine/Source/ThirdParty/CEF3/cef_source/tools/file_util.py#L125-L131

nest/nest-simulator

f2623eb78518cdbd55e77e0ed486bf1111bcb62f

pynest/nest/lib/hl_api_helper.py

python

__is_executable

(path, candidate)

return os.access(candidate, os.X_OK) and os.path.isfile(candidate)

Returns true for executable files.

[ "Returns", "true", "for", "executable", "files", "." ]

def __is_executable(path, candidate): """Returns true for executable files.""" candidate = os.path.join(path, candidate) return os.access(candidate, os.X_OK) and os.path.isfile(candidate)

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https://github.com/nest/nest-simulator/blob/f2623eb78518cdbd55e77e0ed486bf1111bcb62f/pynest/nest/lib/hl_api_helper.py#L442-L446

netket/netket

0d534e54ecbf25b677ea72af6b85947979420652

netket/vqs/mc/mc_mixed_state/state.py

python

MCMixedState.__init__

( self, sampler, model=None, *, sampler_diag: Sampler = None, n_samples_diag: int = None, n_samples_per_rank_diag: Optional[int] = None, n_discard_per_chain_diag: Optional[int] = None, n_discard_diag: Optional[int] = None, # deprecated seed=None, sampler_seed: Optional[int] = None, variables=None, **kwargs, )

Constructs the MCMixedState. Arguments are the same as :class:`MCState`. Arguments: sampler: The sampler model: (Optional) The model. If not provided, you must provide init_fun and apply_fun. n_samples: the total number of samples across chains and processes when sampling (default=1000). n_samples_per_rank: the total number of samples across chains on one process when sampling. Cannot be specified together with n_samples (default=None). n_discard_per_chain: number of discarded samples at the beginning of each monte-carlo chain (default=n_samples/10). n_samples_diag: the total number of samples across chains and processes when sampling the diagonal of the density matrix (default=1000). n_samples_per_rank_diag: the total number of samples across chains on one process when sampling the diagonal. Cannot be specified together with `n_samples_diag` (default=None). n_discard_per_chain_diag: number of discarded samples at the beginning of each monte-carlo chain used when sampling the diagonal of the density matrix for observables (default=n_samples_diag/10). parameters: Optional PyTree of weights from which to start. seed: rng seed used to generate a set of parameters (only if parameters is not passed). Defaults to a random one. sampler_seed: rng seed used to initialise the sampler. Defaults to a random one. mutable: Dict specifing mutable arguments. Use it to specify if the model has a state that can change during evaluation, but that should not be optimised. See also flax.linen.module.apply documentation (default=False) init_fun: Function of the signature f(model, shape, rng_key, dtype) -> Optional_state, parameters used to initialise the parameters. Defaults to the standard flax initialiser. Only specify if your network has a non-standard init method. apply_fun: Function of the signature f(model, variables, σ) that should evaluate the model. Defafults to `model.apply(variables, σ)`. specify only if your network has a non-standard apply method. training_kwargs: a dict containing the optionaal keyword arguments to be passed to the apply_fun during training. Useful for example when you have a batchnorm layer that constructs the average/mean only during training.

Constructs the MCMixedState. Arguments are the same as :class:`MCState`.

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def __init__( self, sampler, model=None, *, sampler_diag: Sampler = None, n_samples_diag: int = None, n_samples_per_rank_diag: Optional[int] = None, n_discard_per_chain_diag: Optional[int] = None, n_discard_diag: Optional[int] = None, # deprecated seed=None, sampler_seed: Optional[int] = None, variables=None, **kwargs, ): """ Constructs the MCMixedState. Arguments are the same as :class:`MCState`. Arguments: sampler: The sampler model: (Optional) The model. If not provided, you must provide init_fun and apply_fun. n_samples: the total number of samples across chains and processes when sampling (default=1000). n_samples_per_rank: the total number of samples across chains on one process when sampling. Cannot be specified together with n_samples (default=None). n_discard_per_chain: number of discarded samples at the beginning of each monte-carlo chain (default=n_samples/10). n_samples_diag: the total number of samples across chains and processes when sampling the diagonal of the density matrix (default=1000). n_samples_per_rank_diag: the total number of samples across chains on one process when sampling the diagonal. Cannot be specified together with `n_samples_diag` (default=None). n_discard_per_chain_diag: number of discarded samples at the beginning of each monte-carlo chain used when sampling the diagonal of the density matrix for observables (default=n_samples_diag/10). parameters: Optional PyTree of weights from which to start. seed: rng seed used to generate a set of parameters (only if parameters is not passed). Defaults to a random one. sampler_seed: rng seed used to initialise the sampler. Defaults to a random one. mutable: Dict specifing mutable arguments. Use it to specify if the model has a state that can change during evaluation, but that should not be optimised. See also flax.linen.module.apply documentation (default=False) init_fun: Function of the signature f(model, shape, rng_key, dtype) -> Optional_state, parameters used to initialise the parameters. Defaults to the standard flax initialiser. Only specify if your network has a non-standard init method. apply_fun: Function of the signature f(model, variables, σ) that should evaluate the model. Defafults to `model.apply(variables, σ)`. specify only if your network has a non-standard apply method. training_kwargs: a dict containing the optionaal keyword arguments to be passed to the apply_fun during training. Useful for example when you have a batchnorm layer that constructs the average/mean only during training. """ seed, seed_diag = jax.random.split(nkjax.PRNGKey(seed)) if sampler_seed is None: sampler_seed_diag = None else: sampler_seed, sampler_seed_diag = jax.random.split( nkjax.PRNGKey(sampler_seed) ) self._diagonal = None hilbert_physical = sampler.hilbert.physical super().__init__( sampler.hilbert.physical, sampler, model, **kwargs, seed=seed, sampler_seed=sampler_seed, variables=variables, ) if sampler_diag is None: sampler_diag = sampler.replace(hilbert=hilbert_physical) sampler_diag = sampler_diag.replace(machine_pow=1) diagonal_apply_fun = nkjax.HashablePartial(apply_diagonal, self._apply_fun) for kw in [ "n_samples", "n_discard", "n_discard_per_chain", ]: # TODO remove n_discard after deprecation. if kw in kwargs: kwargs.pop(kw) # TODO: remove deprecation. if n_discard_diag is not None and n_discard_per_chain_diag is not None: raise ValueError( "`n_discard_diag` has been renamed to `n_discard_per_chain_diag` and deprecated." "Specify only `n_discard_per_chain_diag`." ) elif n_discard_diag is not None: warn_deprecation( "`n_discard_diag` has been renamed to `n_discard_per_chain_diag` and deprecated." "Please update your code to `n_discard_per_chain_diag`." ) n_discard_per_chain_diag = n_discard_diag self._diagonal = MCState( sampler_diag, apply_fun=diagonal_apply_fun, n_samples=n_samples_diag, n_samples_per_rank=n_samples_per_rank_diag, n_discard_per_chain=n_discard_per_chain_diag, variables=self.variables, seed=seed_diag, sampler_seed=sampler_seed_diag, **kwargs, )

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https://github.com/netket/netket/blob/0d534e54ecbf25b677ea72af6b85947979420652/netket/vqs/mc/mc_mixed_state/state.py#L47-L155

KDE/krita

10ea63984e00366865769c193ab298de73a59c5c

plugins/python/scripter/ui_scripter/editor/debugarea.py

python

DebugArea.paintEvent

(self, event)

It Invokes the draw method(debugAreaPaintEvent) in CodeEditor

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def paintEvent(self, event): """It Invokes the draw method(debugAreaPaintEvent) in CodeEditor""" self.codeEditor.debugAreaPaintEvent(event)

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BitMEX/api-connectors

37a3a5b806ad5d0e0fc975ab86d9ed43c3bcd812

auto-generated/python/swagger_client/models/user_event.py

python

UserEvent.status

(self, status)

Sets the status of this UserEvent. :param status: The status of this UserEvent. # noqa: E501 :type: str

Sets the status of this UserEvent.

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def status(self, status): """Sets the status of this UserEvent. :param status: The status of this UserEvent. # noqa: E501 :type: str """ if status is None: raise ValueError("Invalid value for `status`, must not be `None`") # noqa: E501 allowed_values = ["success", "failure"] # noqa: E501 if status not in allowed_values: raise ValueError( "Invalid value for `status` ({0}), must be one of {1}" # noqa: E501 .format(status, allowed_values) ) self._status = status

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aws/lumberyard

f85344403c1c2e77ec8c75deb2c116e97b713217

dev/Tools/Python/3.7.10/mac/Python.framework/Versions/3.7/lib/python3.7/logging/handlers.py

python

NTEventLogHandler.emit

(self, record)

Emit a record. Determine the message ID, event category and event type. Then log the message in the NT event log.

Emit a record.

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def emit(self, record): """ Emit a record. Determine the message ID, event category and event type. Then log the message in the NT event log. """ if self._welu: try: id = self.getMessageID(record) cat = self.getEventCategory(record) type = self.getEventType(record) msg = self.format(record) self._welu.ReportEvent(self.appname, id, cat, type, [msg]) except Exception: self.handleError(record)

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wxWidgets/wxPython-Classic

19571e1ae65f1ac445f5491474121998c97a1bf0

wx/lib/agw/aui/auibar.py

python

AuiToolBar.AddCheckTool

(self, tool_id, label, bitmap, disabled_bitmap, short_help_string="", long_help_string="", client_data=None)

return self.AddTool(tool_id, label, bitmap, disabled_bitmap, ITEM_CHECK, short_help_string, long_help_string, client_data)

Adds a new check (or toggle) tool to the :class:`AuiToolBar`. :see: :meth:`AddTool` for an explanation of the input parameters.

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def AddCheckTool(self, tool_id, label, bitmap, disabled_bitmap, short_help_string="", long_help_string="", client_data=None): """ Adds a new check (or toggle) tool to the :class:`AuiToolBar`. :see: :meth:`AddTool` for an explanation of the input parameters. """ return self.AddTool(tool_id, label, bitmap, disabled_bitmap, ITEM_CHECK, short_help_string, long_help_string, client_data)

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aws/lumberyard

f85344403c1c2e77ec8c75deb2c116e97b713217

dev/Gems/CloudGemFramework/v1/AWS/resource-manager-code/lib/swagger_spec_validator/validator20.py

python

validate_definitions

(definitions, deref)

Validates the semantic errors in #/definitions. :param definitions: dict of all the definitions :param deref: callable that dereferences $refs :raises: :py:class:`swagger_spec_validator.SwaggerValidationError` :raises: :py:class:`jsonschema.exceptions.ValidationError`

Validates the semantic errors in #/definitions.

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def validate_definitions(definitions, deref): """Validates the semantic errors in #/definitions. :param definitions: dict of all the definitions :param deref: callable that dereferences $refs :raises: :py:class:`swagger_spec_validator.SwaggerValidationError` :raises: :py:class:`jsonschema.exceptions.ValidationError` """ visited_definitions_ids = set() for def_name, definition in iteritems(definitions): validate_definition( definition=definition, deref=deref, def_name='#/definitions/{}'.format(def_name), visited_definitions_ids=visited_definitions_ids, )

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aws/lumberyard

f85344403c1c2e77ec8c75deb2c116e97b713217

dev/Tools/build/waf-1.7.13/waflib/Scripting.py

python

Dist.get_tar_path

(self, node)

return node.abspath()

return the path to use for a node in the tar archive, the purpose of this is to let subclases resolve symbolic links or to change file names

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def get_tar_path(self, node): """ return the path to use for a node in the tar archive, the purpose of this is to let subclases resolve symbolic links or to change file names """ return node.abspath()

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wlanjie/AndroidFFmpeg

7baf9122f4b8e1c74e7baf4be5c422c7a5ba5aaf

tools/fdk-aac-build/armeabi/toolchain/lib/python2.7/compiler/pyassem.py

python

PyFlowGraph.getConsts

(self)

return tuple(l)

Return a tuple for the const slot of the code object Must convert references to code (MAKE_FUNCTION) to code objects recursively.

Return a tuple for the const slot of the code object

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def getConsts(self): """Return a tuple for the const slot of the code object Must convert references to code (MAKE_FUNCTION) to code objects recursively. """ l = [] for elt in self.consts: if isinstance(elt, PyFlowGraph): elt = elt.getCode() l.append(elt) return tuple(l)

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v8/v8

fee3bf095260bf657a3eea4d3d41f90c42c6c857

tools/grokdump.py

python

InspectionShell.do_list_modules

(self, arg)

List details for all loaded modules in the minidump. An argument can be passed to limit the output to only those modules that contain the argument as a substring (case insensitive match).

List details for all loaded modules in the minidump.

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def do_list_modules(self, arg): """ List details for all loaded modules in the minidump. An argument can be passed to limit the output to only those modules that contain the argument as a substring (case insensitive match). """ for module in self.reader.module_list.modules: if arg: name = GetModuleName(self.reader, module).lower() if name.find(arg.lower()) >= 0: PrintModuleDetails(self.reader, module) else: PrintModuleDetails(self.reader, module) print()

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wxWidgets/wxPython-Classic

19571e1ae65f1ac445f5491474121998c97a1bf0

src/gtk/_core.py

python

TextEntryBase.AutoComplete

(*args, **kwargs)

return _core_.TextEntryBase_AutoComplete(*args, **kwargs)

AutoComplete(self, wxArrayString choices) -> bool

[ "AutoComplete", "(", "self", "wxArrayString", "choices", ")", "-", ">", "bool" ]

def AutoComplete(*args, **kwargs): """AutoComplete(self, wxArrayString choices) -> bool""" return _core_.TextEntryBase_AutoComplete(*args, **kwargs)

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https://github.com/wxWidgets/wxPython-Classic/blob/19571e1ae65f1ac445f5491474121998c97a1bf0/src/gtk/_core.py#L13316-L13318

BlzFans/wke

b0fa21158312e40c5fbd84682d643022b6c34a93

cygwin/lib/python2.6/encodings/base64_codec.py

python

base64_encode

(input,errors='strict')

return (output, len(input))

Encodes the object input and returns a tuple (output object, length consumed). errors defines the error handling to apply. It defaults to 'strict' handling which is the only currently supported error handling for this codec.

Encodes the object input and returns a tuple (output object, length consumed).

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def base64_encode(input,errors='strict'): """ Encodes the object input and returns a tuple (output object, length consumed). errors defines the error handling to apply. It defaults to 'strict' handling which is the only currently supported error handling for this codec. """ assert errors == 'strict' output = base64.encodestring(input) return (output, len(input))

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mickem/nscp

79f89fdbb6da63f91bc9dedb7aea202fe938f237

scripts/python/lib/google/protobuf/internal/containers.py

python

RepeatedScalarFieldContainer.extend

(self, elem_seq)

Extends by appending the given sequence. Similar to list.extend().

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def extend(self, elem_seq): """Extends by appending the given sequence. Similar to list.extend().""" if not elem_seq: return new_values = [] for elem in elem_seq: self._type_checker.CheckValue(elem) new_values.append(elem) self._values.extend(new_values) self._message_listener.Modified()

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https://github.com/mickem/nscp/blob/79f89fdbb6da63f91bc9dedb7aea202fe938f237/scripts/python/lib/google/protobuf/internal/containers.py#L118-L128

zju3dv/clean-pvnet

5870c509e3cc205e1bb28910a7b1a9a3c8add9a8

lib/utils/pysixd/transform.py

python

Arcball.drag

(self, point)

Update current cursor window coordinates.

[ "Update", "current", "cursor", "window", "coordinates", "." ]

def drag(self, point): """Update current cursor window coordinates.""" vnow = arcball_map_to_sphere(point, self._center, self._radius) if self._axis is not None: vnow = arcball_constrain_to_axis(vnow, self._axis) self._qpre = self._qnow t = numpy.cross(self._vdown, vnow) if numpy.dot(t, t) < _EPS: self._qnow = self._qdown else: q = [numpy.dot(self._vdown, vnow), t[0], t[1], t[2]] self._qnow = quaternion_multiply(q, self._qdown)

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https://github.com/zju3dv/clean-pvnet/blob/5870c509e3cc205e1bb28910a7b1a9a3c8add9a8/lib/utils/pysixd/transform.py#L1594-L1605

adobe/chromium

cfe5bf0b51b1f6b9fe239c2a3c2f2364da9967d7

gpu/command_buffer/build_gles2_cmd_buffer.py

python

CustomHandler.WriteImmediateServiceImplementation

(self, func, file)

Overrriden from TypeHandler.

[ "Overrriden", "from", "TypeHandler", "." ]

def WriteImmediateServiceImplementation(self, func, file): """Overrriden from TypeHandler.""" pass

[ "def", "WriteImmediateServiceImplementation", "(", "self", ",", "func", ",", "file", ")", ":", "pass" ]

https://github.com/adobe/chromium/blob/cfe5bf0b51b1f6b9fe239c2a3c2f2364da9967d7/gpu/command_buffer/build_gles2_cmd_buffer.py#L2337-L2339

okex/V3-Open-API-SDK

c5abb0db7e2287718e0055e17e57672ce0ec7fd9

okex-python-sdk-api/venv/Lib/site-packages/pip-19.0.3-py3.8.egg/pip/_vendor/urllib3/util/retry.py

python

Retry.is_retry

(self, method, status_code, has_retry_after=False)

return (self.total and self.respect_retry_after_header and has_retry_after and (status_code in self.RETRY_AFTER_STATUS_CODES))

Is this method/status code retryable? (Based on whitelists and control variables such as the number of total retries to allow, whether to respect the Retry-After header, whether this header is present, and whether the returned status code is on the list of status codes to be retried upon on the presence of the aforementioned header)

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def is_retry(self, method, status_code, has_retry_after=False): """ Is this method/status code retryable? (Based on whitelists and control variables such as the number of total retries to allow, whether to respect the Retry-After header, whether this header is present, and whether the returned status code is on the list of status codes to be retried upon on the presence of the aforementioned header) """ if not self._is_method_retryable(method): return False if self.status_forcelist and status_code in self.status_forcelist: return True return (self.total and self.respect_retry_after_header and has_retry_after and (status_code in self.RETRY_AFTER_STATUS_CODES))

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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/urllib3/util/retry.py#L304-L318

aws/lumberyard

f85344403c1c2e77ec8c75deb2c116e97b713217

dev/Gems/Blast/houdini/python2.7libs/blastExport/slice.py

python

Slice.metaDataEntityId

(self, value)

:return: str

[ ":", "return", ":", "str" ]

def metaDataEntityId(self, value): """ :return: str """ if self.__metaDataEntityId == value: return self.__metaDataEntityId = value

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https://github.com/aws/lumberyard/blob/f85344403c1c2e77ec8c75deb2c116e97b713217/dev/Gems/Blast/houdini/python2.7libs/blastExport/slice.py#L262-L270

mindspore-ai/mindspore

fb8fd3338605bb34fa5cea054e535a8b1d753fab

mindspore/python/mindspore/nn/layer/container.py

python

_get_prefix_and_index

(cells)

return prefix, index

get prefix and index of parameter name in sequential cell or cell list.

[ "get", "prefix", "and", "index", "of", "parameter", "name", "in", "sequential", "cell", "or", "cell", "list", "." ]

def _get_prefix_and_index(cells): """get prefix and index of parameter name in sequential cell or cell list.""" prefix = "" index = 0 if not cells: return prefix, index cell_list = list(cells.items()) first_param, first_key = None, None second_param, second_key = None, None for key, cell in cell_list: try: _, param = next(cell.parameters_and_names()) except StopIteration: continue if first_param is None: first_param = param first_key = key continue second_param = param second_key = key break if first_param is None: return prefix, index split_names = first_param.name.split(".") for idx, name in enumerate(split_names): if name == first_key: prefix = ".".join(split_names[:idx]) prefix = prefix + "." if prefix else prefix index = idx if second_param is not None and second_param.name.split(".")[idx] == second_key: break return prefix, index

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https://github.com/mindspore-ai/mindspore/blob/fb8fd3338605bb34fa5cea054e535a8b1d753fab/mindspore/python/mindspore/nn/layer/container.py#L42-L76

francinexue/xuefu

b6ff79747a42e020588c0c0a921048e08fe4680c

api/ctpx/ctptd.py

python

CtpTd.onRtnOrder

(self, OrderField)

报单通知

[ "报单通知" ]

def onRtnOrder(self, OrderField): """报单通知""" # #如果委托成功，OrderSubmitStatus先是0（不用管），则OrderSubmitStatus = 3，且orderStatus = 3，等待排队. # 紧接着成交则OrderSubmitStatus = 3，且orderStatus = 0-1 ## 如果撤单成功，OrderSubmitStatus先是1（不用管），则OrderSubmitStatus = 3，且orderStatus = *.等待撤单 # 紧接着成交则OrderSubmitStatus = 3，且orderStatus = 5 ？？ for listener in self._barEventListeners: listener.onRtnOrderEvent(OrderField)

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https://github.com/francinexue/xuefu/blob/b6ff79747a42e020588c0c0a921048e08fe4680c/api/ctpx/ctptd.py#L753-L760

hanpfei/chromium-net

392cc1fa3a8f92f42e4071ab6e674d8e0482f83f

third_party/catapult/third_party/mapreduce/mapreduce/api/map_job/map_job_control.py

python

Job.__update_state

(self)

Fetches most up to date state from db.

[ "Fetches", "most", "up", "to", "date", "state", "from", "db", "." ]

def __update_state(self): """Fetches most up to date state from db.""" # Only if the job was not in a terminal state. if self._state.active: self._state = self.__get_state_by_id(self.job_config.job_id)

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https://github.com/hanpfei/chromium-net/blob/392cc1fa3a8f92f42e4071ab6e674d8e0482f83f/third_party/catapult/third_party/mapreduce/mapreduce/api/map_job/map_job_control.py#L157-L161

wxWidgets/wxPython-Classic

19571e1ae65f1ac445f5491474121998c97a1bf0

wx/lib/agw/ultimatelistctrl.py

python

UltimateListItemData.SetImage

(self, image)

Sets the zero-based indexes of the images associated with the item into the image list. :param `image`: a Python list with the zero-based indexes of the images associated with the item into the image list.

Sets the zero-based indexes of the images associated with the item into the image list.

[ "Sets", "the", "zero", "-", "based", "indexes", "of", "the", "images", "associated", "with", "the", "item", "into", "the", "image", "list", "." ]

def SetImage(self, image): """ Sets the zero-based indexes of the images associated with the item into the image list. :param `image`: a Python list with the zero-based indexes of the images associated with the item into the image list. """ self._image = to_list(image)

[ "def", "SetImage", "(", "self", ",", "image", ")", ":", "self", ".", "_image", "=", "to_list", "(", "image", ")" ]

https://github.com/wxWidgets/wxPython-Classic/blob/19571e1ae65f1ac445f5491474121998c97a1bf0/wx/lib/agw/ultimatelistctrl.py#L2553-L2562

lammps/lammps

b75c3065430a75b1b5543a10e10f46d9b4c91913

python/lammps/core.py

python

lammps.get_os_info

(self)

return sb.value.decode()

Return a string with information about the OS and compiler runtime This is a wrapper around the :cpp:func:`lammps_get_os_info` function of the C-library interface. :return: OS info string :rtype: string

Return a string with information about the OS and compiler runtime

[ "Return", "a", "string", "with", "information", "about", "the", "OS", "and", "compiler", "runtime" ]

def get_os_info(self): """Return a string with information about the OS and compiler runtime This is a wrapper around the :cpp:func:`lammps_get_os_info` function of the C-library interface. :return: OS info string :rtype: string """ sb = create_string_buffer(512) self.lib.lammps_get_os_info(sb,512) return sb.value.decode()

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https://github.com/lammps/lammps/blob/b75c3065430a75b1b5543a10e10f46d9b4c91913/python/lammps/core.py#L505-L516

mindspore-ai/mindspore

fb8fd3338605bb34fa5cea054e535a8b1d753fab

mindspore/python/mindspore/nn/probability/distribution/gamma.py

python

Gamma._log_prob

(self, value, concentration=None, rate=None)

return unnormalized_log_prob - log_normalization

r""" Evaluate log probability. Args: value (Tensor): The value to be evaluated. concentration (Tensor): The concentration of the distribution. Default: self._concentration. rate (Tensor): The rate the distribution. Default: self._rate. .. math:: L(x) = (\alpha - 1) * \log(x) - \beta * x - \log(\gamma(\alpha)) - \alpha * \log(\beta)

r""" Evaluate log probability.

[ "r", "Evaluate", "log", "probability", "." ]

def _log_prob(self, value, concentration=None, rate=None): r""" Evaluate log probability. Args: value (Tensor): The value to be evaluated. concentration (Tensor): The concentration of the distribution. Default: self._concentration. rate (Tensor): The rate the distribution. Default: self._rate. .. math:: L(x) = (\alpha - 1) * \log(x) - \beta * x - \log(\gamma(\alpha)) - \alpha * \log(\beta) """ value = self._check_value(value, 'value') value = self.cast(value, self.dtype) concentration, rate = self._check_param_type(concentration, rate) unnormalized_log_prob = (concentration - 1.) * \ self.log(value) - rate * value log_normalization = self.lgamma( concentration) - concentration * self.log(rate) return unnormalized_log_prob - log_normalization

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https://github.com/mindspore-ai/mindspore/blob/fb8fd3338605bb34fa5cea054e535a8b1d753fab/mindspore/python/mindspore/nn/probability/distribution/gamma.py#L312-L331

catboost/catboost

167f64f237114a4d10b2b4ee42adb4569137debe

contrib/python/scipy/py3/scipy/ndimage/interpolation.py

python

shift

(input, shift, output=None, order=3, mode='constant', cval=0.0, prefilter=True)

return output

Shift an array. The array is shifted using spline interpolation of the requested order. Points outside the boundaries of the input are filled according to the given mode. Parameters ---------- %(input)s shift : float or sequence The shift along the axes. If a float, `shift` is the same for each axis. If a sequence, `shift` should contain one value for each axis. %(output)s order : int, optional The order of the spline interpolation, default is 3. The order has to be in the range 0-5. %(mode)s %(cval)s %(prefilter)s Returns ------- shift : ndarray The shifted input.

Shift an array.

[ "Shift", "an", "array", "." ]

def shift(input, shift, output=None, order=3, mode='constant', cval=0.0, prefilter=True): """ Shift an array. The array is shifted using spline interpolation of the requested order. Points outside the boundaries of the input are filled according to the given mode. Parameters ---------- %(input)s shift : float or sequence The shift along the axes. If a float, `shift` is the same for each axis. If a sequence, `shift` should contain one value for each axis. %(output)s order : int, optional The order of the spline interpolation, default is 3. The order has to be in the range 0-5. %(mode)s %(cval)s %(prefilter)s Returns ------- shift : ndarray The shifted input. """ if order < 0 or order > 5: raise RuntimeError('spline order not supported') input = numpy.asarray(input) if numpy.iscomplexobj(input): raise TypeError('Complex type not supported') if input.ndim < 1: raise RuntimeError('input and output rank must be > 0') mode = _ni_support._extend_mode_to_code(mode) if prefilter and order > 1: filtered = spline_filter(input, order, output=numpy.float64) else: filtered = input output = _ni_support._get_output(output, input) shift = _ni_support._normalize_sequence(shift, input.ndim) shift = [-ii for ii in shift] shift = numpy.asarray(shift, dtype=numpy.float64) if not shift.flags.contiguous: shift = shift.copy() _nd_image.zoom_shift(filtered, None, shift, output, order, mode, cval) return output

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https://github.com/catboost/catboost/blob/167f64f237114a4d10b2b4ee42adb4569137debe/contrib/python/scipy/py3/scipy/ndimage/interpolation.py#L485-L533

okex/V3-Open-API-SDK

c5abb0db7e2287718e0055e17e57672ce0ec7fd9

okex-python-sdk-api/venv/Lib/site-packages/pip-19.0.3-py3.8.egg/pip/_vendor/ipaddress.py

python

ip_interface

(address)

Take an IP string/int and return an object of the correct type. Args: address: A string or integer, the IP address. Either IPv4 or IPv6 addresses may be supplied; integers less than 2**32 will be considered to be IPv4 by default. Returns: An IPv4Interface or IPv6Interface object. Raises: ValueError: if the string passed isn't either a v4 or a v6 address. Notes: The IPv?Interface classes describe an Address on a particular Network, so they're basically a combination of both the Address and Network classes.

Take an IP string/int and return an object of the correct type.

[ "Take", "an", "IP", "string", "/", "int", "and", "return", "an", "object", "of", "the", "correct", "type", "." ]

def ip_interface(address): """Take an IP string/int and return an object of the correct type. Args: address: A string or integer, the IP address. Either IPv4 or IPv6 addresses may be supplied; integers less than 2**32 will be considered to be IPv4 by default. Returns: An IPv4Interface or IPv6Interface object. Raises: ValueError: if the string passed isn't either a v4 or a v6 address. Notes: The IPv?Interface classes describe an Address on a particular Network, so they're basically a combination of both the Address and Network classes. """ try: return IPv4Interface(address) except (AddressValueError, NetmaskValueError): pass try: return IPv6Interface(address) except (AddressValueError, NetmaskValueError): pass raise ValueError('%r does not appear to be an IPv4 or IPv6 interface' % address)

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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/ipaddress.py#L207-L239

tensorflow/serving

3b29e18ab57c68604f599d0b3e1f8df417d22427

tensorflow_serving/apis/prediction_service_pb2_grpc.py

python

PredictionServiceServicer.Predict

(self, request, context)

Predict -- provides access to loaded TensorFlow model.

[ "Predict", "--", "provides", "access", "to", "loaded", "TensorFlow", "model", "." ]

def Predict(self, request, context): """Predict -- provides access to loaded TensorFlow model. """ context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!')

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https://github.com/tensorflow/serving/blob/3b29e18ab57c68604f599d0b3e1f8df417d22427/tensorflow_serving/apis/prediction_service_pb2_grpc.py#L87-L92

Yelp/MOE

5b5a6a2c6c3cf47320126f7f5894e2a83e347f5c

moe/views/optimizable_gp_pretty_view.py

python

OptimizableGpPrettyView._get_default_optimizer_params

(self, params)

return OPTIMIZER_TYPE_AND_OBJECTIVE_TO_DEFAULT_PARAMETERS[optimizer_parameters_lookup]

Get the default optimizer parameters associated with the desired ``optimizer_type`` and REST endpoint. :param params: a (partially) deserialized REST request with everything except possibly ``params['optimizer_info']`` :type params: dict :return: default multistart and optimizer parameters to use with this REST request :rtype: :class:`moe.optimal_learning.python.constant.DefaultOptimizerInfoTuple`

Get the default optimizer parameters associated with the desired ``optimizer_type`` and REST endpoint.

[ "Get", "the", "default", "optimizer", "parameters", "associated", "with", "the", "desired", "optimizer_type", "and", "REST", "endpoint", "." ]

def _get_default_optimizer_params(self, params): """Get the default optimizer parameters associated with the desired ``optimizer_type`` and REST endpoint. :param params: a (partially) deserialized REST request with everything except possibly ``params['optimizer_info']`` :type params: dict :return: default multistart and optimizer parameters to use with this REST request :rtype: :class:`moe.optimal_learning.python.constant.DefaultOptimizerInfoTuple` """ optimizer_type = params['optimizer_info']['optimizer_type'] optimizer_parameters_lookup = (optimizer_type, self._route_name) return OPTIMIZER_TYPE_AND_OBJECTIVE_TO_DEFAULT_PARAMETERS[optimizer_parameters_lookup]

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https://github.com/Yelp/MOE/blob/5b5a6a2c6c3cf47320126f7f5894e2a83e347f5c/moe/views/optimizable_gp_pretty_view.py#L26-L38

rrwick/Porechop

109e437280436d1ec27e5a5b7a34ffb752176390

ez_setup.py

python

_parse_args

()

return options

Parse the command line for options.

[ "Parse", "the", "command", "line", "for", "options", "." ]

def _parse_args(): """Parse the command line for options.""" parser = optparse.OptionParser() parser.add_option( '--user', dest='user_install', action='store_true', default=False, help='install in user site package') parser.add_option( '--download-base', dest='download_base', metavar="URL", default=DEFAULT_URL, help='alternative URL from where to download the setuptools package') parser.add_option( '--insecure', dest='downloader_factory', action='store_const', const=lambda: download_file_insecure, default=get_best_downloader, help='Use internal, non-validating downloader' ) parser.add_option( '--version', help="Specify which version to download", default=DEFAULT_VERSION, ) parser.add_option( '--to-dir', help="Directory to save (and re-use) package", default=DEFAULT_SAVE_DIR, ) options, args = parser.parse_args() # positional arguments are ignored return options

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https://github.com/rrwick/Porechop/blob/109e437280436d1ec27e5a5b7a34ffb752176390/ez_setup.py#L368-L394

catboost/catboost

167f64f237114a4d10b2b4ee42adb4569137debe

contrib/python/ipython/py3/IPython/terminal/pt_inputhooks/wx.py

python

inputhook_wx1

(context)

return 0

Run the wx event loop by processing pending events only. This approach seems to work, but its performance is not great as it relies on having PyOS_InputHook called regularly.

Run the wx event loop by processing pending events only.

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def inputhook_wx1(context): """Run the wx event loop by processing pending events only. This approach seems to work, but its performance is not great as it relies on having PyOS_InputHook called regularly. """ app = wx.GetApp() if app is not None: assert wx.Thread_IsMain() # Make a temporary event loop and process system events until # there are no more waiting, then allow idle events (which # will also deal with pending or posted wx events.) evtloop = wx.EventLoop() ea = wx.EventLoopActivator(evtloop) while evtloop.Pending(): evtloop.Dispatch() app.ProcessIdle() del ea return 0

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https://github.com/catboost/catboost/blob/167f64f237114a4d10b2b4ee42adb4569137debe/contrib/python/ipython/py3/IPython/terminal/pt_inputhooks/wx.py#L28-L47

catboost/catboost

167f64f237114a4d10b2b4ee42adb4569137debe

contrib/tools/python/src/Lib/fractions.py

python

Fraction.__new__

(cls, numerator=0, denominator=None)

return self

Constructs a Fraction. Takes a string like '3/2' or '1.5', another Rational instance, a numerator/denominator pair, or a float. Examples -------- >>> Fraction(10, -8) Fraction(-5, 4) >>> Fraction(Fraction(1, 7), 5) Fraction(1, 35) >>> Fraction(Fraction(1, 7), Fraction(2, 3)) Fraction(3, 14) >>> Fraction('314') Fraction(314, 1) >>> Fraction('-35/4') Fraction(-35, 4) >>> Fraction('3.1415') # conversion from numeric string Fraction(6283, 2000) >>> Fraction('-47e-2') # string may include a decimal exponent Fraction(-47, 100) >>> Fraction(1.47) # direct construction from float (exact conversion) Fraction(6620291452234629, 4503599627370496) >>> Fraction(2.25) Fraction(9, 4) >>> Fraction(Decimal('1.47')) Fraction(147, 100)

Constructs a Fraction.

[ "Constructs", "a", "Fraction", "." ]

def __new__(cls, numerator=0, denominator=None): """Constructs a Fraction. Takes a string like '3/2' or '1.5', another Rational instance, a numerator/denominator pair, or a float. Examples -------- >>> Fraction(10, -8) Fraction(-5, 4) >>> Fraction(Fraction(1, 7), 5) Fraction(1, 35) >>> Fraction(Fraction(1, 7), Fraction(2, 3)) Fraction(3, 14) >>> Fraction('314') Fraction(314, 1) >>> Fraction('-35/4') Fraction(-35, 4) >>> Fraction('3.1415') # conversion from numeric string Fraction(6283, 2000) >>> Fraction('-47e-2') # string may include a decimal exponent Fraction(-47, 100) >>> Fraction(1.47) # direct construction from float (exact conversion) Fraction(6620291452234629, 4503599627370496) >>> Fraction(2.25) Fraction(9, 4) >>> Fraction(Decimal('1.47')) Fraction(147, 100) """ self = super(Fraction, cls).__new__(cls) if denominator is None: if isinstance(numerator, Rational): self._numerator = numerator.numerator self._denominator = numerator.denominator return self elif isinstance(numerator, float): # Exact conversion from float value = Fraction.from_float(numerator) self._numerator = value._numerator self._denominator = value._denominator return self elif isinstance(numerator, Decimal): value = Fraction.from_decimal(numerator) self._numerator = value._numerator self._denominator = value._denominator return self elif isinstance(numerator, basestring): # Handle construction from strings. m = _RATIONAL_FORMAT.match(numerator) if m is None: raise ValueError('Invalid literal for Fraction: %r' % numerator) numerator = int(m.group('num') or '0') denom = m.group('denom') if denom: denominator = int(denom) else: denominator = 1 decimal = m.group('decimal') if decimal: scale = 10**len(decimal) numerator = numerator * scale + int(decimal) denominator *= scale exp = m.group('exp') if exp: exp = int(exp) if exp >= 0: numerator *= 10**exp else: denominator *= 10**-exp if m.group('sign') == '-': numerator = -numerator else: raise TypeError("argument should be a string " "or a Rational instance") elif (isinstance(numerator, Rational) and isinstance(denominator, Rational)): numerator, denominator = ( numerator.numerator * denominator.denominator, denominator.numerator * numerator.denominator ) else: raise TypeError("both arguments should be " "Rational instances") if denominator == 0: raise ZeroDivisionError('Fraction(%s, 0)' % numerator) g = gcd(numerator, denominator) self._numerator = numerator // g self._denominator = denominator // g return self

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https://github.com/catboost/catboost/blob/167f64f237114a4d10b2b4ee42adb4569137debe/contrib/tools/python/src/Lib/fractions.py#L68-L166

wlanjie/AndroidFFmpeg

7baf9122f4b8e1c74e7baf4be5c422c7a5ba5aaf

tools/fdk-aac-build/x86/toolchain/lib/python2.7/chunk.py

python

Chunk.getsize

(self)

return self.chunksize

Return the size of the current chunk.

[ "Return", "the", "size", "of", "the", "current", "chunk", "." ]

def getsize(self): """Return the size of the current chunk.""" return self.chunksize

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https://github.com/wlanjie/AndroidFFmpeg/blob/7baf9122f4b8e1c74e7baf4be5c422c7a5ba5aaf/tools/fdk-aac-build/x86/toolchain/lib/python2.7/chunk.py#L82-L84

aws/lumberyard

f85344403c1c2e77ec8c75deb2c116e97b713217

dev/Gems/CloudGemMetric/v1/AWS/common-code/Lib/pandas/core/arrays/numpy_.py

python

PandasDtype.itemsize

(self)

return self._dtype.itemsize

The element size of this data-type object.

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def itemsize(self): """The element size of this data-type object.""" return self._dtype.itemsize

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https://github.com/aws/lumberyard/blob/f85344403c1c2e77ec8c75deb2c116e97b713217/dev/Gems/CloudGemMetric/v1/AWS/common-code/Lib/pandas/core/arrays/numpy_.py#L97-L99

aws/lumberyard

f85344403c1c2e77ec8c75deb2c116e97b713217

dev/Gems/CloudGemMetric/v1/AWS/python/windows/Lib/numba/targets/dictimpl.py

python

impl_dict

(context, builder, sig, args)

return context.compile_internal(builder, call_ctor, sig, args)

The `dict()` implementation simply forwards the work to `Dict.empty()`.

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def impl_dict(context, builder, sig, args): """ The `dict()` implementation simply forwards the work to `Dict.empty()`. """ from numba.typed import Dict dicttype = sig.return_type kt, vt = dicttype.key_type, dicttype.value_type def call_ctor(): return Dict.empty(kt, vt) return context.compile_internal(builder, call_ctor, sig, args)

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https://github.com/aws/lumberyard/blob/f85344403c1c2e77ec8c75deb2c116e97b713217/dev/Gems/CloudGemMetric/v1/AWS/python/windows/Lib/numba/targets/dictimpl.py#L8-L20

Xilinx/Vitis-AI

fc74d404563d9951b57245443c73bef389f3657f

tools/Vitis-AI-Quantizer/vai_q_tensorflow1.x/tensorflow/python/saved_model/loader_impl.py

python

SavedModelLoader.load

(self, sess, tags, import_scope=None, **saver_kwargs)

return self.get_meta_graph_def_from_tags(tags)

Load the MetaGraphDef graph and restore variable values into the session. Args: sess: tf.compat.v1.Session to restore variable values. tags: a set of string tags identifying a MetaGraphDef. import_scope: Optional `string` -- if specified, prepend this string followed by '/' to all loaded tensor names. This scope is applied to tensor instances loaded into the passed session, but it is *not* written through to the static `MetaGraphDef` protocol buffer that is returned. **saver_kwargs: keyword arguments to pass to tf.train.import_meta_graph. Returns: `MetagraphDef` proto of the graph that was loaded.

Load the MetaGraphDef graph and restore variable values into the session.

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def load(self, sess, tags, import_scope=None, **saver_kwargs): """Load the MetaGraphDef graph and restore variable values into the session. Args: sess: tf.compat.v1.Session to restore variable values. tags: a set of string tags identifying a MetaGraphDef. import_scope: Optional `string` -- if specified, prepend this string followed by '/' to all loaded tensor names. This scope is applied to tensor instances loaded into the passed session, but it is *not* written through to the static `MetaGraphDef` protocol buffer that is returned. **saver_kwargs: keyword arguments to pass to tf.train.import_meta_graph. Returns: `MetagraphDef` proto of the graph that was loaded. """ with sess.graph.as_default(): saver, _ = self.load_graph(sess.graph, tags, import_scope, **saver_kwargs) self.restore_variables(sess, saver, import_scope) self.run_init_ops(sess, tags, import_scope) return self.get_meta_graph_def_from_tags(tags)

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https://github.com/Xilinx/Vitis-AI/blob/fc74d404563d9951b57245443c73bef389f3657f/tools/Vitis-AI-Quantizer/vai_q_tensorflow1.x/tensorflow/python/saved_model/loader_impl.py#L405-L425

apple/turicreate

cce55aa5311300e3ce6af93cb45ba791fd1bdf49

deps/src/libxml2-2.9.1/python/libxml2class.py

python

xmlDoc.newDocTextLen

(self, content, len)

return __tmp

Creation of a new text node with an extra content length parameter. The text node pertain to a given document.

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def newDocTextLen(self, content, len): """Creation of a new text node with an extra content length parameter. The text node pertain to a given document. """ ret = libxml2mod.xmlNewDocTextLen(self._o, content, len) if ret is None:raise treeError('xmlNewDocTextLen() failed') __tmp = xmlNode(_obj=ret) return __tmp

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https://github.com/apple/turicreate/blob/cce55aa5311300e3ce6af93cb45ba791fd1bdf49/deps/src/libxml2-2.9.1/python/libxml2class.py#L3601-L3607

aws/lumberyard

f85344403c1c2e77ec8c75deb2c116e97b713217

dev/Tools/Python/3.7.10/mac/Python.framework/Versions/3.7/lib/python3.7/site-packages/setuptools/package_index.py

python

find_external_links

(url, page)

Find rel="homepage" and rel="download" links in `page`, yielding URLs

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def find_external_links(url, page): """Find rel="homepage" and rel="download" links in `page`, yielding URLs""" for match in REL.finditer(page): tag, rel = match.groups() rels = set(map(str.strip, rel.lower().split(','))) if 'homepage' in rels or 'download' in rels: for match in HREF.finditer(tag): yield urllib.parse.urljoin(url, htmldecode(match.group(1))) for tag in ("<th>Home Page", "<th>Download URL"): pos = page.find(tag) if pos != -1: match = HREF.search(page, pos) if match: yield urllib.parse.urljoin(url, htmldecode(match.group(1)))

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https://github.com/aws/lumberyard/blob/f85344403c1c2e77ec8c75deb2c116e97b713217/dev/Tools/Python/3.7.10/mac/Python.framework/Versions/3.7/lib/python3.7/site-packages/setuptools/package_index.py#L223-L238

aws/lumberyard

f85344403c1c2e77ec8c75deb2c116e97b713217

dev/Tools/Python/3.7.10/mac/Python.framework/Versions/3.7/lib/python3.7/lib2to3/pytree.py

python

Node.clone

(self)

return Node(self.type, [ch.clone() for ch in self.children], fixers_applied=self.fixers_applied)

Return a cloned (deep) copy of self.

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def clone(self): """Return a cloned (deep) copy of self.""" return Node(self.type, [ch.clone() for ch in self.children], fixers_applied=self.fixers_applied)

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https://github.com/aws/lumberyard/blob/f85344403c1c2e77ec8c75deb2c116e97b713217/dev/Tools/Python/3.7.10/mac/Python.framework/Versions/3.7/lib/python3.7/lib2to3/pytree.py#L257-L260

mapsme/omim

1892903b63f2c85b16ed4966d21fe76aba06b9ba

tools/python/stylesheet/webcolors/webcolors.py

python

rgb_percent_to_rgb

(rgb_percent_triplet)

return tuple(map(_percent_to_integer, rgb_percent_triplet))

Convert a 3-tuple of percentages, suitable for use in an ``rgb()`` color triplet, to a 3-tuple of integers suitable for use in representing that color. Some precision may be lost in this conversion. See the note regarding precision for ``rgb_to_rgb_percent()`` for details; generally speaking, the following is true for any 3-tuple ``t`` of integers in the range 0...255 inclusive:: t == rgb_percent_to_rgb(rgb_to_rgb_percent(t)) Examples: >>> rgb_percent_to_rgb(('100%', '100%', '100%')) (255, 255, 255) >>> rgb_percent_to_rgb(('0%', '0%', '50%')) (0, 0, 128) >>> rgb_percent_to_rgb(('25%', '12.5%', '6.25%')) (64, 32, 16) >>> rgb_percent_to_rgb(('12.94%', '21.96%', '75.29%')) (33, 56, 192)

Convert a 3-tuple of percentages, suitable for use in an ``rgb()`` color triplet, to a 3-tuple of integers suitable for use in representing that color.

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def rgb_percent_to_rgb(rgb_percent_triplet): """ Convert a 3-tuple of percentages, suitable for use in an ``rgb()`` color triplet, to a 3-tuple of integers suitable for use in representing that color. Some precision may be lost in this conversion. See the note regarding precision for ``rgb_to_rgb_percent()`` for details; generally speaking, the following is true for any 3-tuple ``t`` of integers in the range 0...255 inclusive:: t == rgb_percent_to_rgb(rgb_to_rgb_percent(t)) Examples: >>> rgb_percent_to_rgb(('100%', '100%', '100%')) (255, 255, 255) >>> rgb_percent_to_rgb(('0%', '0%', '50%')) (0, 0, 128) >>> rgb_percent_to_rgb(('25%', '12.5%', '6.25%')) (64, 32, 16) >>> rgb_percent_to_rgb(('12.94%', '21.96%', '75.29%')) (33, 56, 192) """ return tuple(map(_percent_to_integer, rgb_percent_triplet))

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https://github.com/mapsme/omim/blob/1892903b63f2c85b16ed4966d21fe76aba06b9ba/tools/python/stylesheet/webcolors/webcolors.py#L818-L843

wlanjie/AndroidFFmpeg

7baf9122f4b8e1c74e7baf4be5c422c7a5ba5aaf

tools/fdk-aac-build/armeabi-v7a/toolchain/lib/python2.7/plistlib.py

python

Plist.write

(self, pathOrFile)

Deprecated. Use the writePlist() function instead.

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def write(self, pathOrFile): """Deprecated. Use the writePlist() function instead.""" writePlist(self, pathOrFile)

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https://github.com/wlanjie/AndroidFFmpeg/blob/7baf9122f4b8e1c74e7baf4be5c422c7a5ba5aaf/tools/fdk-aac-build/armeabi-v7a/toolchain/lib/python2.7/plistlib.py#L351-L353

mingchen/protobuf-ios

0958df34558cd54cb7b6e6ca5c8855bf3d475046

compiler/python/mox.py

python

MockMethod._VerifyMethodCall

(self)

return expected

Verify the called method is expected. This can be an ordered method, or part of an unordered set. Returns: The expected mock method. Raises: UnexpectedMethodCall if the method called was not expected.

Verify the called method is expected.

[ "Verify", "the", "called", "method", "is", "expected", "." ]

def _VerifyMethodCall(self): """Verify the called method is expected. This can be an ordered method, or part of an unordered set. Returns: The expected mock method. Raises: UnexpectedMethodCall if the method called was not expected. """ expected = self._PopNextMethod() # Loop here, because we might have a MethodGroup followed by another # group. while isinstance(expected, MethodGroup): expected, method = expected.MethodCalled(self) if method is not None: return method # This is a mock method, so just check equality. if expected != self: raise UnexpectedMethodCallError(self, expected) return expected

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https://github.com/mingchen/protobuf-ios/blob/0958df34558cd54cb7b6e6ca5c8855bf3d475046/compiler/python/mox.py#L588-L613

wxWidgets/wxPython-Classic

19571e1ae65f1ac445f5491474121998c97a1bf0

src/osx_carbon/_misc.py

python

Log_GetRepetitionCounting

(*args)

return _misc_.Log_GetRepetitionCounting(*args)

Log_GetRepetitionCounting() -> bool

[ "Log_GetRepetitionCounting", "()", "-", ">", "bool" ]

def Log_GetRepetitionCounting(*args): """Log_GetRepetitionCounting() -> bool""" return _misc_.Log_GetRepetitionCounting(*args)

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https://github.com/wxWidgets/wxPython-Classic/blob/19571e1ae65f1ac445f5491474121998c97a1bf0/src/osx_carbon/_misc.py#L1692-L1694

apple/swift-lldb

d74be846ef3e62de946df343e8c234bde93a8912

scripts/Python/static-binding/lldb.py

python

SBThread.StepUsingScriptedThreadPlan

(self, *args)

return _lldb.SBThread_StepUsingScriptedThreadPlan(self, *args)

StepUsingScriptedThreadPlan(SBThread self, char const * script_class_name) -> SBError StepUsingScriptedThreadPlan(SBThread self, char const * script_class_name, bool resume_immediately) -> SBError

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def StepUsingScriptedThreadPlan(self, *args): """ StepUsingScriptedThreadPlan(SBThread self, char const * script_class_name) -> SBError StepUsingScriptedThreadPlan(SBThread self, char const * script_class_name, bool resume_immediately) -> SBError """ return _lldb.SBThread_StepUsingScriptedThreadPlan(self, *args)

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https://github.com/apple/swift-lldb/blob/d74be846ef3e62de946df343e8c234bde93a8912/scripts/Python/static-binding/lldb.py#L11742-L11747

facebookresearch/ELF

1f790173095cd910976d9f651b80beb872ec5d12

vendor/pybind11/tools/clang/cindex.py

python

Cursor.enum_value

(self)

return self._enum_value

Return the value of an enum constant.

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def enum_value(self): """Return the value of an enum constant.""" if not hasattr(self, '_enum_value'): assert self.kind == CursorKind.ENUM_CONSTANT_DECL # Figure out the underlying type of the enum to know if it # is a signed or unsigned quantity. underlying_type = self.type if underlying_type.kind == TypeKind.ENUM: underlying_type = underlying_type.get_declaration().enum_type if underlying_type.kind in (TypeKind.CHAR_U, TypeKind.UCHAR, TypeKind.CHAR16, TypeKind.CHAR32, TypeKind.USHORT, TypeKind.UINT, TypeKind.ULONG, TypeKind.ULONGLONG, TypeKind.UINT128): self._enum_value = \ conf.lib.clang_getEnumConstantDeclUnsignedValue(self) else: self._enum_value = conf.lib.clang_getEnumConstantDeclValue(self) return self._enum_value

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https://github.com/facebookresearch/ELF/blob/1f790173095cd910976d9f651b80beb872ec5d12/vendor/pybind11/tools/clang/cindex.py#L1531-L1553

krishauser/Klampt

972cc83ea5befac3f653c1ba20f80155768ad519

Python/python2_version/klampt/src/robotsim.py

python

RobotModelLink.getAngularAcceleration

(self, ddq)

return _robotsim.RobotModelLink_getAngularAcceleration(self, ddq)

getAngularAcceleration(RobotModelLink self, doubleVector ddq) Returns the angular acceleration of the link given the robot's current joint configuration and velocities, and the joint accelerations ddq. Returns: (list of 3 floats): the angular acceleration of the link, in world coordinates.

getAngularAcceleration(RobotModelLink self, doubleVector ddq)

[ "getAngularAcceleration", "(", "RobotModelLink", "self", "doubleVector", "ddq", ")" ]

def getAngularAcceleration(self, ddq): """ getAngularAcceleration(RobotModelLink self, doubleVector ddq) Returns the angular acceleration of the link given the robot's current joint configuration and velocities, and the joint accelerations ddq. Returns: (list of 3 floats): the angular acceleration of the link, in world coordinates. """ return _robotsim.RobotModelLink_getAngularAcceleration(self, ddq)

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https://github.com/krishauser/Klampt/blob/972cc83ea5befac3f653c1ba20f80155768ad519/Python/python2_version/klampt/src/robotsim.py#L4166-L4181

aws/lumberyard

f85344403c1c2e77ec8c75deb2c116e97b713217

dev/Tools/Python/3.7.10/windows/Lib/site-packages/urllib3/response.py

python

HTTPResponse._init_decoder

(self)

Set-up the _decoder attribute if necessary.

[ "Set", "-", "up", "the", "_decoder", "attribute", "if", "necessary", "." ]

def _init_decoder(self): """ Set-up the _decoder attribute if necessary. """ # Note: content-encoding value should be case-insensitive, per RFC 7230 # Section 3.2 content_encoding = self.headers.get("content-encoding", "").lower() if self._decoder is None: if content_encoding in self.CONTENT_DECODERS: self._decoder = _get_decoder(content_encoding) elif "," in content_encoding: encodings = [ e.strip() for e in content_encoding.split(",") if e.strip() in self.CONTENT_DECODERS ] if len(encodings): self._decoder = _get_decoder(content_encoding)

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https://github.com/aws/lumberyard/blob/f85344403c1c2e77ec8c75deb2c116e97b713217/dev/Tools/Python/3.7.10/windows/Lib/site-packages/urllib3/response.py#L356-L373

windystrife/UnrealEngine_NVIDIAGameWorks

b50e6338a7c5b26374d66306ebc7807541ff815e

Engine/Extras/ThirdPartyNotUE/emsdk/Win64/python/2.7.5.3_64bit/Lib/email/encoders.py

python

encode_base64

(msg)

Encode the message's payload in Base64. Also, add an appropriate Content-Transfer-Encoding header.

Encode the message's payload in Base64.

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def encode_base64(msg): """Encode the message's payload in Base64. Also, add an appropriate Content-Transfer-Encoding header. """ orig = msg.get_payload() encdata = _bencode(orig) msg.set_payload(encdata) msg['Content-Transfer-Encoding'] = 'base64'

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https://github.com/windystrife/UnrealEngine_NVIDIAGameWorks/blob/b50e6338a7c5b26374d66306ebc7807541ff815e/Engine/Extras/ThirdPartyNotUE/emsdk/Win64/python/2.7.5.3_64bit/Lib/email/encoders.py#L39-L47

GJDuck/LowFat

ecf6a0f0fa1b73a27a626cf493cc39e477b6faea

llvm-4.0.0.src/projects/compiler-rt/lib/sanitizer_common/scripts/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') 'foo/foo_unusualinternal' Args: filename: The input filename. Returns: The filename with the common suffix removed.

Drops common suffixes like _test.cc or -inl.h from filename.

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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' >>> _DropCommonSuffixes('foo/foo_unusualinternal.h') 'foo/foo_unusualinternal' Args: filename: The input filename. Returns: The filename with the common suffix removed. """ for suffix in ('test.cc', 'regtest.cc', 'unittest.cc', 'inl.h', 'impl.h', 'internal.h'): if (filename.endswith(suffix) and len(filename) > len(suffix) and filename[-len(suffix) - 1] in ('-', '_')): return filename[:-len(suffix) - 1] return os.path.splitext(filename)[0]

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https://github.com/GJDuck/LowFat/blob/ecf6a0f0fa1b73a27a626cf493cc39e477b6faea/llvm-4.0.0.src/projects/compiler-rt/lib/sanitizer_common/scripts/cpplint.py#L2913-L2937

BitMEX/api-connectors

37a3a5b806ad5d0e0fc975ab86d9ed43c3bcd812

auto-generated/python/swagger_client/models/position.py

python

Position.pos_init

(self)

return self._pos_init

Gets the pos_init of this Position. # noqa: E501 :return: The pos_init of this Position. # noqa: E501 :rtype: float

Gets the pos_init of this Position. # noqa: E501

[ "Gets", "the", "pos_init", "of", "this", "Position", ".", "#", "noqa", ":", "E501" ]

def pos_init(self): """Gets the pos_init of this Position. # noqa: E501 :return: The pos_init of this Position. # noqa: E501 :rtype: float """ return self._pos_init

[ "def", "pos_init", "(", "self", ")", ":", "return", "self", ".", "_pos_init" ]

https://github.com/BitMEX/api-connectors/blob/37a3a5b806ad5d0e0fc975ab86d9ed43c3bcd812/auto-generated/python/swagger_client/models/position.py#L1596-L1603

Xilinx/Vitis-AI

fc74d404563d9951b57245443c73bef389f3657f

tools/Vitis-AI-Quantizer/vai_q_tensorflow1.x/tensorflow/python/debug/lib/grpc_debug_server.py

python

EventListenerBaseStreamHandler.on_value_event

(self, event)

Callback for Event proto received through the gRPC stream. This Event proto carries a Tensor in its summary.value[0] field. Args: event: The Event proto from the stream to be processed.

Callback for Event proto received through the gRPC stream.

[ "Callback", "for", "Event", "proto", "received", "through", "the", "gRPC", "stream", "." ]

def on_value_event(self, event): """Callback for Event proto received through the gRPC stream. This Event proto carries a Tensor in its summary.value[0] field. Args: event: The Event proto from the stream to be processed. """ raise NotImplementedError( "on_value_event() is not implemented in the base servicer class")

[ "def", "on_value_event", "(", "self", ",", "event", ")", ":", "raise", "NotImplementedError", "(", "\"on_value_event() is not implemented in the base servicer class\"", ")" ]

https://github.com/Xilinx/Vitis-AI/blob/fc74d404563d9951b57245443c73bef389f3657f/tools/Vitis-AI-Quantizer/vai_q_tensorflow1.x/tensorflow/python/debug/lib/grpc_debug_server.py#L91-L100