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

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natanielruiz/android-yolo	1ebb54f96a67a20ff83ddfc823ed83a13dc3a47f	jni-build/jni/include/tensorflow/python/summary/event_multiplexer.py	python	EventMultiplexer.Scalars	(self, run, tag)	return accumulator.Scalars(tag)	Retrieve the scalar events associated with a run and tag. Args: run: A string name of the run for which values are retrieved. tag: A string name of the tag for which values are retrieved. Raises: KeyError: If the run is not found, or the tag is not available for the given run. Returns: An array of `event_accumulator.ScalarEvents`.	Retrieve the scalar events associated with a run and tag.	[ "Retrieve", "the", "scalar", "events", "associated", "with", "a", "run", "and", "tag", "." ]	def Scalars(self, run, tag): """Retrieve the scalar events associated with a run and tag. Args: run: A string name of the run for which values are retrieved. tag: A string name of the tag for which values are retrieved. Raises: KeyError: If the run is not found, or the tag is not available for the given run. Returns: An array of `event_accumulator.ScalarEvents`. """ accumulator = self._GetAccumulator(run) return accumulator.Scalars(tag)	[ "def", "Scalars", "(", "self", ",", "run", ",", "tag", ")", ":", "accumulator", "=", "self", ".", "_GetAccumulator", "(", "run", ")", "return", "accumulator", ".", "Scalars", "(", "tag", ")" ]	https://github.com/natanielruiz/android-yolo/blob/1ebb54f96a67a20ff83ddfc823ed83a13dc3a47f/jni-build/jni/include/tensorflow/python/summary/event_multiplexer.py#L216-L231
miyosuda/TensorFlowAndroidDemo	35903e0221aa5f109ea2dbef27f20b52e317f42d	jni-build/jni/include/tensorflow/python/ops/seq2seq.py	python	embedding_tied_rnn_seq2seq	(encoder_inputs, decoder_inputs, cell, num_symbols, embedding_size, num_decoder_symbols=None, output_projection=None, feed_previous=False, dtype=dtypes.float32, scope=None)		Embedding RNN sequence-to-sequence model with tied (shared) parameters. This model first embeds encoder_inputs by a newly created embedding (of shape [num_symbols x input_size]). Then it runs an RNN to encode embedded encoder_inputs into a state vector. Next, it embeds decoder_inputs using the same embedding. Then it runs RNN decoder, initialized with the last encoder state, on embedded decoder_inputs. The decoder output is over symbols from 0 to num_decoder_symbols - 1 if num_decoder_symbols is none; otherwise it is over 0 to num_symbols - 1. Args: encoder_inputs: A list of 1D int32 Tensors of shape [batch_size]. decoder_inputs: A list of 1D int32 Tensors of shape [batch_size]. cell: rnn_cell.RNNCell defining the cell function and size. num_symbols: Integer; number of symbols for both encoder and decoder. embedding_size: Integer, the length of the embedding vector for each symbol. num_decoder_symbols: Integer; number of output symbols for decoder. If provided, the decoder output is over symbols 0 to num_decoder_symbols - 1. Otherwise, decoder output is over symbols 0 to num_symbols - 1. Note that this assumes that the vocabulary is set up such that the first num_decoder_symbols of num_symbols are part of decoding. output_projection: None or a pair (W, B) of output projection weights and biases; W has shape [output_size x num_symbols] and B has shape [num_symbols]; if provided and feed_previous=True, each fed previous output will first be multiplied by W and added B. feed_previous: Boolean or scalar Boolean Tensor; if True, only the first of decoder_inputs will be used (the "GO" symbol), and all other decoder inputs will be taken from previous outputs (as in embedding_rnn_decoder). If False, decoder_inputs are used as given (the standard decoder case). dtype: The dtype to use for the initial RNN states (default: tf.float32). scope: VariableScope for the created subgraph; defaults to "embedding_tied_rnn_seq2seq". Returns: A tuple of the form (outputs, state), where: outputs: A list of the same length as decoder_inputs of 2D Tensors with shape [batch_size x output_symbols] containing the generated outputs where output_symbols = num_decoder_symbols if num_decoder_symbols is not None otherwise output_symbols = num_symbols. state: The state of each decoder cell at the final time-step. It is a 2D Tensor of shape [batch_size x cell.state_size]. Raises: ValueError: When output_projection has the wrong shape.	Embedding RNN sequence-to-sequence model with tied (shared) parameters.	[ "Embedding", "RNN", "sequence", "-", "to", "-", "sequence", "model", "with", "tied", "(", "shared", ")", "parameters", "." ]	def embedding_tied_rnn_seq2seq(encoder_inputs, decoder_inputs, cell, num_symbols, embedding_size, num_decoder_symbols=None, output_projection=None, feed_previous=False, dtype=dtypes.float32, scope=None): """Embedding RNN sequence-to-sequence model with tied (shared) parameters. This model first embeds encoder_inputs by a newly created embedding (of shape [num_symbols x input_size]). Then it runs an RNN to encode embedded encoder_inputs into a state vector. Next, it embeds decoder_inputs using the same embedding. Then it runs RNN decoder, initialized with the last encoder state, on embedded decoder_inputs. The decoder output is over symbols from 0 to num_decoder_symbols - 1 if num_decoder_symbols is none; otherwise it is over 0 to num_symbols - 1. Args: encoder_inputs: A list of 1D int32 Tensors of shape [batch_size]. decoder_inputs: A list of 1D int32 Tensors of shape [batch_size]. cell: rnn_cell.RNNCell defining the cell function and size. num_symbols: Integer; number of symbols for both encoder and decoder. embedding_size: Integer, the length of the embedding vector for each symbol. num_decoder_symbols: Integer; number of output symbols for decoder. If provided, the decoder output is over symbols 0 to num_decoder_symbols - 1. Otherwise, decoder output is over symbols 0 to num_symbols - 1. Note that this assumes that the vocabulary is set up such that the first num_decoder_symbols of num_symbols are part of decoding. output_projection: None or a pair (W, B) of output projection weights and biases; W has shape [output_size x num_symbols] and B has shape [num_symbols]; if provided and feed_previous=True, each fed previous output will first be multiplied by W and added B. feed_previous: Boolean or scalar Boolean Tensor; if True, only the first of decoder_inputs will be used (the "GO" symbol), and all other decoder inputs will be taken from previous outputs (as in embedding_rnn_decoder). If False, decoder_inputs are used as given (the standard decoder case). dtype: The dtype to use for the initial RNN states (default: tf.float32). scope: VariableScope for the created subgraph; defaults to "embedding_tied_rnn_seq2seq". Returns: A tuple of the form (outputs, state), where: outputs: A list of the same length as decoder_inputs of 2D Tensors with shape [batch_size x output_symbols] containing the generated outputs where output_symbols = num_decoder_symbols if num_decoder_symbols is not None otherwise output_symbols = num_symbols. state: The state of each decoder cell at the final time-step. It is a 2D Tensor of shape [batch_size x cell.state_size]. Raises: ValueError: When output_projection has the wrong shape. """ if output_projection is not None: proj_weights = ops.convert_to_tensor(output_projection[0], dtype=dtype) proj_weights.get_shape().assert_is_compatible_with([None, num_symbols]) proj_biases = ops.convert_to_tensor(output_projection[1], dtype=dtype) proj_biases.get_shape().assert_is_compatible_with([num_symbols]) with variable_scope.variable_scope(scope or "embedding_tied_rnn_seq2seq"): embedding = variable_scope.get_variable("embedding", [num_symbols, embedding_size]) emb_encoder_inputs = [embedding_ops.embedding_lookup(embedding, x) for x in encoder_inputs] emb_decoder_inputs = [embedding_ops.embedding_lookup(embedding, x) for x in decoder_inputs] output_symbols = num_symbols if num_decoder_symbols is not None: output_symbols = num_decoder_symbols if output_projection is None: cell = rnn_cell.OutputProjectionWrapper(cell, output_symbols) if isinstance(feed_previous, bool): loop_function = _extract_argmax_and_embed( embedding, output_projection, True) if feed_previous else None return tied_rnn_seq2seq(emb_encoder_inputs, emb_decoder_inputs, cell, loop_function=loop_function, dtype=dtype) # If feed_previous is a Tensor, we construct 2 graphs and use cond. def decoder(feed_previous_bool): loop_function = _extract_argmax_and_embed( embedding, output_projection, False) if feed_previous_bool else None reuse = None if feed_previous_bool else True with variable_scope.variable_scope(variable_scope.get_variable_scope(), reuse=reuse): outputs, state = tied_rnn_seq2seq( emb_encoder_inputs, emb_decoder_inputs, cell, loop_function=loop_function, dtype=dtype) state_list = [state] if nest.is_sequence(state): state_list = nest.flatten(state) return outputs + state_list outputs_and_state = control_flow_ops.cond(feed_previous, lambda: decoder(True), lambda: decoder(False)) outputs_len = len(decoder_inputs) # Outputs length same as decoder inputs. state_list = outputs_and_state[outputs_len:] state = state_list[0] # Calculate zero-state to know it's structure. static_batch_size = encoder_inputs[0].get_shape()[0] for inp in encoder_inputs[1:]: static_batch_size.merge_with(inp.get_shape()[0]) batch_size = static_batch_size.value if batch_size is None: batch_size = array_ops.shape(encoder_inputs[0])[0] zero_state = cell.zero_state(batch_size, dtype) if nest.is_sequence(zero_state): state = nest.pack_sequence_as(structure=zero_state, flat_sequence=state_list) return outputs_and_state[:outputs_len], state	[ "def", "embedding_tied_rnn_seq2seq", "(", "encoder_inputs", ",", "decoder_inputs", ",", "cell", ",", "num_symbols", ",", "embedding_size", ",", "num_decoder_symbols", "=", "None", ",", "output_projection", "=", "None", ",", "feed_previous", "=", "False", ",", "dtype", "=", "dtypes", ".", "float32", ",", "scope", "=", "None", ")", ":", "if", "output_projection", "is", "not", "None", ":", "proj_weights", "=", "ops", ".", "convert_to_tensor", "(", "output_projection", "[", "0", "]", ",", "dtype", "=", "dtype", ")", "proj_weights", ".", "get_shape", "(", ")", ".", 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"reuse", "=", "reuse", ")", ":", "outputs", ",", "state", "=", "tied_rnn_seq2seq", "(", "emb_encoder_inputs", ",", "emb_decoder_inputs", ",", "cell", ",", "loop_function", "=", "loop_function", ",", "dtype", "=", "dtype", ")", "state_list", "=", "[", "state", "]", "if", "nest", ".", "is_sequence", "(", "state", ")", ":", "state_list", "=", "nest", ".", "flatten", "(", "state", ")", "return", "outputs", "+", "state_list", "outputs_and_state", "=", "control_flow_ops", ".", "cond", "(", "feed_previous", ",", "lambda", ":", "decoder", "(", "True", ")", ",", "lambda", ":", "decoder", "(", "False", ")", ")", "outputs_len", "=", "len", "(", "decoder_inputs", ")", "# Outputs length same as decoder inputs.", "state_list", "=", "outputs_and_state", "[", "outputs_len", ":", "]", "state", "=", "state_list", "[", "0", "]", "# Calculate zero-state to know it's structure.", "static_batch_size", "=", "encoder_inputs", "[", "0", "]", ".", "get_shape", "(", ")", "[", "0", "]", "for", "inp", "in", "encoder_inputs", "[", "1", ":", "]", ":", "static_batch_size", ".", "merge_with", "(", "inp", ".", "get_shape", "(", ")", "[", "0", "]", ")", "batch_size", "=", "static_batch_size", ".", "value", "if", "batch_size", "is", "None", ":", "batch_size", "=", "array_ops", ".", "shape", "(", "encoder_inputs", "[", "0", "]", ")", "[", "0", "]", "zero_state", "=", "cell", ".", "zero_state", "(", "batch_size", ",", "dtype", ")", "if", "nest", ".", "is_sequence", "(", "zero_state", ")", ":", "state", "=", "nest", ".", "pack_sequence_as", "(", "structure", "=", "zero_state", ",", "flat_sequence", "=", "state_list", ")", "return", "outputs_and_state", "[", ":", "outputs_len", "]", ",", "state" ]	https://github.com/miyosuda/TensorFlowAndroidDemo/blob/35903e0221aa5f109ea2dbef27f20b52e317f42d/jni-build/jni/include/tensorflow/python/ops/seq2seq.py#L362-L471
arangodb/arangodb	0d658689c7d1b721b314fa3ca27d38303e1570c8	3rdParty/V8/v7.9.317/tools/grokdump.py	python	FullDump	(reader, heap)		Dump all available memory regions.	Dump all available memory regions.	[ "Dump", "all", "available", "memory", "regions", "." ]	def FullDump(reader, heap): """Dump all available memory regions.""" def dump_region(reader, start, size, location): print() while start & 3 != 0: start += 1 size -= 1 location += 1 is_executable = reader.IsProbableExecutableRegion(location, size) is_ascii = reader.IsProbableASCIIRegion(location, size) if is_executable is not False: lines = reader.GetDisasmLines(start, size) for line in lines: print(FormatDisasmLine(start, heap, line)) print() if is_ascii is not False: # Output in the same format as the Unix hd command addr = start for i in range(0, size, 16): slot = i + location hex_line = "" asc_line = "" for i in range(16): if slot + i < location + size: byte = ctypes.c_uint8.from_buffer(reader.minidump, slot + i).value if byte >= 0x20 and byte < 0x7f: asc_line += chr(byte) else: asc_line += "." hex_line += " %02x" % (byte) else: hex_line += " " if i == 7: hex_line += " " print("%s %s \|%s\|" % (reader.FormatIntPtr(addr), hex_line, asc_line)) addr += 16 if is_executable is not True and is_ascii is not True: print("%s - %s" % (reader.FormatIntPtr(start), reader.FormatIntPtr(start + size))) print(start + size + 1); for i in range(0, size, reader.PointerSize()): slot = start + i maybe_address = reader.ReadUIntPtr(slot) heap_object = heap.FindObject(maybe_address) print("%s: %s" % (reader.FormatIntPtr(slot), reader.FormatIntPtr(maybe_address))) if heap_object: heap_object.Print(Printer()) print() reader.ForEachMemoryRegion(dump_region)	[ "def", "FullDump", "(", "reader", ",", "heap", ")", ":", "def", "dump_region", "(", "reader", ",", "start", ",", "size", ",", "location", ")", ":", "print", "(", ")", "while", "start", "&", "3", "!=", "0", ":", "start", "+=", "1", "size", "-=", "1", "location", "+=", "1", "is_executable", "=", "reader", ".", "IsProbableExecutableRegion", "(", "location", ",", "size", ")", "is_ascii", "=", "reader", ".", "IsProbableASCIIRegion", "(", "location", ",", "size", ")", "if", "is_executable", "is", "not", "False", ":", "lines", "=", "reader", ".", "GetDisasmLines", "(", "start", ",", "size", ")", "for", "line", "in", "lines", ":", "print", "(", "FormatDisasmLine", "(", "start", ",", "heap", ",", "line", ")", ")", "print", "(", ")", "if", "is_ascii", "is", "not", "False", ":", "# Output in the same format as the Unix hd command", "addr", "=", "start", "for", "i", "in", "range", "(", "0", ",", "size", ",", "16", ")", ":", "slot", "=", "i", "+", "location", "hex_line", "=", "\"\"", "asc_line", "=", "\"\"", "for", "i", "in", "range", "(", "16", ")", ":", "if", "slot", "+", "i", "<", "location", "+", "size", ":", "byte", "=", "ctypes", ".", "c_uint8", ".", "from_buffer", "(", "reader", ".", "minidump", ",", "slot", "+", "i", ")", ".", "value", "if", "byte", ">=", "0x20", "and", "byte", "<", "0x7f", ":", "asc_line", "+=", "chr", "(", "byte", ")", "else", ":", "asc_line", "+=", "\".\"", "hex_line", "+=", "\" %02x\"", "%", "(", "byte", ")", "else", ":", "hex_line", "+=", "\" \"", "if", "i", "==", "7", ":", "hex_line", "+=", "\" \"", "print", "(", "\"%s %s \|%s\|\"", "%", "(", "reader", ".", "FormatIntPtr", "(", "addr", ")", ",", "hex_line", ",", "asc_line", ")", ")", "addr", "+=", "16", "if", "is_executable", "is", "not", "True", "and", "is_ascii", "is", "not", "True", ":", "print", "(", "\"%s - %s\"", "%", "(", "reader", ".", "FormatIntPtr", "(", "start", ")", ",", "reader", ".", "FormatIntPtr", "(", "start", "+", "size", ")", ")", ")", "print", "(", "start", "+", "size", "+", "1", ")", "for", "i", "in", "range", "(", "0", ",", "size", ",", "reader", ".", "PointerSize", "(", ")", ")", ":", "slot", "=", "start", "+", "i", "maybe_address", "=", "reader", ".", "ReadUIntPtr", "(", "slot", ")", "heap_object", "=", "heap", ".", "FindObject", "(", "maybe_address", ")", "print", "(", "\"%s: %s\"", "%", "(", "reader", ".", "FormatIntPtr", "(", "slot", ")", ",", "reader", ".", "FormatIntPtr", "(", "maybe_address", ")", ")", ")", "if", "heap_object", ":", "heap_object", ".", "Print", "(", "Printer", "(", ")", ")", "print", "(", ")", "reader", ".", "ForEachMemoryRegion", "(", "dump_region", ")" ]	https://github.com/arangodb/arangodb/blob/0d658689c7d1b721b314fa3ca27d38303e1570c8/3rdParty/V8/v7.9.317/tools/grokdump.py#L126-L181
aws/lumberyard	f85344403c1c2e77ec8c75deb2c116e97b713217	dev/Tools/Python/3.7.10/linux_x64/lib/python3.7/email/_header_value_parser.py	python	parse_mime_parameters	(value)	return mime_parameters	parameter *( ";" parameter ) That BNF is meant to indicate this routine should only be called after finding and handling the leading ';'. There is no corresponding rule in the formal RFC grammar, but it is more convenient for us for the set of parameters to be treated as its own TokenList. This is 'parse' routine because it consumes the reminaing value, but it would never be called to parse a full header. Instead it is called to parse everything after the non-parameter value of a specific MIME header.	parameter *( ";" parameter )	[ "parameter", "*", "(", ";", "parameter", ")" ]	def parse_mime_parameters(value): """ parameter *( ";" parameter ) That BNF is meant to indicate this routine should only be called after finding and handling the leading ';'. There is no corresponding rule in the formal RFC grammar, but it is more convenient for us for the set of parameters to be treated as its own TokenList. This is 'parse' routine because it consumes the reminaing value, but it would never be called to parse a full header. Instead it is called to parse everything after the non-parameter value of a specific MIME header. """ mime_parameters = MimeParameters() while value: try: token, value = get_parameter(value) mime_parameters.append(token) except errors.HeaderParseError as err: leader = None if value[0] in CFWS_LEADER: leader, value = get_cfws(value) if not value: mime_parameters.append(leader) return mime_parameters if value[0] == ';': if leader is not None: mime_parameters.append(leader) mime_parameters.defects.append(errors.InvalidHeaderDefect( "parameter entry with no content")) else: token, value = get_invalid_parameter(value) if leader: token[:0] = [leader] mime_parameters.append(token) mime_parameters.defects.append(errors.InvalidHeaderDefect( "invalid parameter {!r}".format(token))) if value and value[0] != ';': # Junk after the otherwise valid parameter. Mark it as # invalid, but it will have a value. param = mime_parameters[-1] param.token_type = 'invalid-parameter' token, value = get_invalid_parameter(value) param.extend(token) mime_parameters.defects.append(errors.InvalidHeaderDefect( "parameter with invalid trailing text {!r}".format(token))) if value: # Must be a ';' at this point. mime_parameters.append(ValueTerminal(';', 'parameter-separator')) value = value[1:] return mime_parameters	[ "def", "parse_mime_parameters", "(", "value", ")", ":", "mime_parameters", "=", "MimeParameters", "(", ")", "while", "value", ":", "try", ":", "token", ",", "value", "=", "get_parameter", "(", "value", ")", "mime_parameters", ".", "append", "(", "token", ")", "except", "errors", ".", "HeaderParseError", "as", "err", ":", "leader", "=", "None", "if", "value", "[", "0", "]", "in", "CFWS_LEADER", ":", "leader", ",", "value", "=", "get_cfws", "(", "value", ")", "if", "not", "value", ":", "mime_parameters", ".", "append", "(", "leader", ")", "return", "mime_parameters", "if", "value", "[", "0", "]", "==", "';'", ":", "if", "leader", "is", "not", "None", ":", "mime_parameters", ".", "append", "(", "leader", ")", "mime_parameters", ".", "defects", ".", "append", "(", "errors", ".", "InvalidHeaderDefect", "(", "\"parameter entry with no content\"", ")", ")", "else", ":", "token", ",", "value", "=", "get_invalid_parameter", "(", "value", ")", "if", "leader", ":", "token", "[", ":", "0", "]", "=", "[", "leader", "]", "mime_parameters", ".", "append", "(", "token", ")", "mime_parameters", ".", "defects", ".", "append", "(", "errors", ".", "InvalidHeaderDefect", "(", "\"invalid parameter {!r}\"", ".", "format", "(", "token", ")", ")", ")", "if", "value", "and", "value", "[", "0", "]", "!=", "';'", ":", "# Junk after the otherwise valid parameter. Mark it as", "# invalid, but it will have a value.", "param", "=", "mime_parameters", "[", "-", "1", "]", "param", ".", "token_type", "=", "'invalid-parameter'", "token", ",", "value", "=", "get_invalid_parameter", "(", "value", ")", "param", ".", "extend", "(", "token", ")", "mime_parameters", ".", "defects", ".", "append", "(", "errors", ".", "InvalidHeaderDefect", "(", "\"parameter with invalid trailing text {!r}\"", ".", "format", "(", "token", ")", ")", ")", "if", "value", ":", "# Must be a ';' at this point.", "mime_parameters", ".", "append", "(", "ValueTerminal", "(", "';'", ",", "'parameter-separator'", ")", ")", "value", "=", "value", "[", "1", ":", "]", "return", "mime_parameters" ]	https://github.com/aws/lumberyard/blob/f85344403c1c2e77ec8c75deb2c116e97b713217/dev/Tools/Python/3.7.10/linux_x64/lib/python3.7/email/_header_value_parser.py#L2434-L2484
smilehao/xlua-framework	a03801538be2b0e92d39332d445b22caca1ef61f	ConfigData/trunk/tools/protobuf-2.5.0/protobuf-2.5.0/python/google/protobuf/internal/encoder.py	python	_StructPackEncoder	(wire_type, format)	return SpecificEncoder	Return a constructor for an encoder for a fixed-width field. Args: wire_type: The field's wire type, for encoding tags. format: The format string to pass to struct.pack().	Return a constructor for an encoder for a fixed-width field.	[ "Return", "a", "constructor", "for", "an", "encoder", "for", "a", "fixed", "-", "width", "field", "." ]	def _StructPackEncoder(wire_type, format): """Return a constructor for an encoder for a fixed-width field. Args: wire_type: The field's wire type, for encoding tags. format: The format string to pass to struct.pack(). """ value_size = struct.calcsize(format) def SpecificEncoder(field_number, is_repeated, is_packed): local_struct_pack = struct.pack if is_packed: tag_bytes = TagBytes(field_number, wire_format.WIRETYPE_LENGTH_DELIMITED) local_EncodeVarint = _EncodeVarint def EncodePackedField(write, value): write(tag_bytes) local_EncodeVarint(write, len(value) * value_size) for element in value: write(local_struct_pack(format, element)) return EncodePackedField elif is_repeated: tag_bytes = TagBytes(field_number, wire_type) def EncodeRepeatedField(write, value): for element in value: write(tag_bytes) write(local_struct_pack(format, element)) return EncodeRepeatedField else: tag_bytes = TagBytes(field_number, wire_type) def EncodeField(write, value): write(tag_bytes) return write(local_struct_pack(format, value)) return EncodeField return SpecificEncoder	[ "def", "_StructPackEncoder", "(", "wire_type", ",", "format", ")", ":", "value_size", "=", "struct", ".", "calcsize", "(", "format", ")", "def", "SpecificEncoder", "(", "field_number", ",", "is_repeated", ",", "is_packed", ")", ":", "local_struct_pack", "=", "struct", ".", "pack", "if", "is_packed", ":", "tag_bytes", "=", "TagBytes", "(", "field_number", ",", "wire_format", ".", "WIRETYPE_LENGTH_DELIMITED", ")", "local_EncodeVarint", "=", "_EncodeVarint", "def", "EncodePackedField", "(", "write", ",", "value", ")", ":", "write", "(", "tag_bytes", ")", "local_EncodeVarint", "(", "write", ",", "len", "(", "value", ")", "*", "value_size", ")", "for", "element", "in", "value", ":", "write", "(", "local_struct_pack", "(", "format", ",", "element", ")", ")", "return", "EncodePackedField", "elif", "is_repeated", ":", "tag_bytes", "=", "TagBytes", "(", "field_number", ",", "wire_type", ")", "def", "EncodeRepeatedField", "(", "write", ",", "value", ")", ":", "for", "element", "in", "value", ":", "write", "(", "tag_bytes", ")", "write", "(", "local_struct_pack", "(", "format", ",", "element", ")", ")", "return", "EncodeRepeatedField", "else", ":", "tag_bytes", "=", "TagBytes", "(", "field_number", ",", "wire_type", ")", "def", "EncodeField", "(", "write", ",", "value", ")", ":", "write", "(", "tag_bytes", ")", "return", "write", "(", "local_struct_pack", "(", "format", ",", "value", ")", ")", "return", "EncodeField", "return", "SpecificEncoder" ]	https://github.com/smilehao/xlua-framework/blob/a03801538be2b0e92d39332d445b22caca1ef61f/ConfigData/trunk/tools/protobuf-2.5.0/protobuf-2.5.0/python/google/protobuf/internal/encoder.py#L473-L508
smilehao/xlua-framework	a03801538be2b0e92d39332d445b22caca1ef61f	ConfigData/trunk/tools/protobuf-2.5.0/protobuf-2.5.0/python/build/lib/google/protobuf/service_reflection.py	python	_ServiceBuilder.BuildService	(self, cls)		Constructs the service class. Args: cls: The class that will be constructed.	Constructs the service class.	[ "Constructs", "the", "service", "class", "." ]	def BuildService(self, cls): """Constructs the service class. Args: cls: The class that will be constructed. """ # CallMethod needs to operate with an instance of the Service class. This # internal wrapper function exists only to be able to pass the service # instance to the method that does the real CallMethod work. def _WrapCallMethod(srvc, method_descriptor, rpc_controller, request, callback): return self._CallMethod(srvc, method_descriptor, rpc_controller, request, callback) self.cls = cls cls.CallMethod = _WrapCallMethod cls.GetDescriptor = staticmethod(lambda: self.descriptor) cls.GetDescriptor.__doc__ = "Returns the service descriptor." cls.GetRequestClass = self._GetRequestClass cls.GetResponseClass = self._GetResponseClass for method in self.descriptor.methods: setattr(cls, method.name, self._GenerateNonImplementedMethod(method))	[ "def", "BuildService", "(", "self", ",", "cls", ")", ":", "# CallMethod needs to operate with an instance of the Service class. This", "# internal wrapper function exists only to be able to pass the service", "# instance to the method that does the real CallMethod work.", "def", "_WrapCallMethod", "(", "srvc", ",", "method_descriptor", ",", "rpc_controller", ",", "request", ",", "callback", ")", ":", "return", "self", ".", "_CallMethod", "(", "srvc", ",", "method_descriptor", ",", "rpc_controller", ",", "request", ",", "callback", ")", "self", ".", "cls", "=", "cls", "cls", ".", "CallMethod", "=", "_WrapCallMethod", "cls", ".", "GetDescriptor", "=", "staticmethod", "(", "lambda", ":", "self", ".", "descriptor", ")", "cls", ".", "GetDescriptor", ".", "__doc__", "=", "\"Returns the service descriptor.\"", "cls", ".", "GetRequestClass", "=", "self", ".", "_GetRequestClass", "cls", ".", "GetResponseClass", "=", "self", ".", "_GetResponseClass", "for", "method", "in", "self", ".", "descriptor", ".", "methods", ":", "setattr", "(", "cls", ",", "method", ".", "name", ",", "self", ".", "_GenerateNonImplementedMethod", "(", "method", ")", ")" ]	https://github.com/smilehao/xlua-framework/blob/a03801538be2b0e92d39332d445b22caca1ef61f/ConfigData/trunk/tools/protobuf-2.5.0/protobuf-2.5.0/python/build/lib/google/protobuf/service_reflection.py#L133-L154
verilog-to-routing/vtr-verilog-to-routing	d9719cf7374821156c3cee31d66991cb85578562	vtr_flow/scripts/python_libs/vtr/util.py	python	get_latest_run_number	(base_dir)	return run_number - 1	Returns the highest run number of all run directories with in base_dir	Returns the highest run number of all run directories with in base_dir	[ "Returns", "the", "highest", "run", "number", "of", "all", "run", "directories", "with", "in", "base_dir" ]	def get_latest_run_number(base_dir): """ Returns the highest run number of all run directories with in base_dir """ run_number = 1 run_dir = Path(base_dir) / run_dir_name(run_number) if not run_dir.exists(): # No existing run directories return None while run_dir.exists(): run_number += 1 run_dir = Path(base_dir) / run_dir_name(run_number) # Currently one-past the last existing run dir, # to get latest existing, subtract one return run_number - 1	[ "def", "get_latest_run_number", "(", "base_dir", ")", ":", "run_number", "=", "1", "run_dir", "=", "Path", "(", "base_dir", ")", "/", "run_dir_name", "(", "run_number", ")", "if", "not", "run_dir", ".", "exists", "(", ")", ":", "# No existing run directories", "return", "None", "while", "run_dir", ".", "exists", "(", ")", ":", "run_number", "+=", "1", "run_dir", "=", "Path", "(", "base_dir", ")", "/", "run_dir_name", "(", "run_number", ")", "# Currently one-past the last existing run dir,", "# to get latest existing, subtract one", "return", "run_number", "-", "1" ]	https://github.com/verilog-to-routing/vtr-verilog-to-routing/blob/d9719cf7374821156c3cee31d66991cb85578562/vtr_flow/scripts/python_libs/vtr/util.py#L491-L508
wxWidgets/wxPython-Classic	19571e1ae65f1ac445f5491474121998c97a1bf0	src/msw/stc.py	python	StyledTextCtrl.StyleResetDefault	(args, *kwargs)	return _stc.StyledTextCtrl_StyleResetDefault(args, *kwargs)	StyleResetDefault(self) Reset the default style to its state at startup	StyleResetDefault(self)	[ "StyleResetDefault", "(", "self", ")" ]	def StyleResetDefault(args, kwargs): """ StyleResetDefault(self) Reset the default style to its state at startup """ return _stc.StyledTextCtrl_StyleResetDefault(args, **kwargs)	[ "def", "StyleResetDefault", "(", "", "args", ",", "", "", "kwargs", ")", ":", "return", "_stc", ".", "StyledTextCtrl_StyleResetDefault", "(", "", "args", ",", "", "", "kwargs", ")" ]	https://github.com/wxWidgets/wxPython-Classic/blob/19571e1ae65f1ac445f5491474121998c97a1bf0/src/msw/stc.py#L2570-L2576
apiaryio/snowcrash	b5b39faa85f88ee17459edf39fdc6fe4fc70d2e3	tools/gyp/pylib/gyp/generator/ninja.py	python	NinjaWriter.WriteSourcesForArch	(self, ninja_file, config_name, config, sources, predepends, precompiled_header, spec, arch=None)	return outputs	Write build rules to compile all of \|sources\|.	Write build rules to compile all of \|sources\|.	[ "Write", "build", "rules", "to", "compile", "all", "of", "\|sources\|", "." ]	def WriteSourcesForArch(self, ninja_file, config_name, config, sources, predepends, precompiled_header, spec, arch=None): """Write build rules to compile all of \|sources\|.""" extra_defines = [] if self.flavor == 'mac': cflags = self.xcode_settings.GetCflags(config_name, arch=arch) cflags_c = self.xcode_settings.GetCflagsC(config_name) cflags_cc = self.xcode_settings.GetCflagsCC(config_name) cflags_objc = ['$cflags_c'] + \ self.xcode_settings.GetCflagsObjC(config_name) cflags_objcc = ['$cflags_cc'] + \ self.xcode_settings.GetCflagsObjCC(config_name) elif self.flavor == 'win': asmflags = self.msvs_settings.GetAsmflags(config_name) cflags = self.msvs_settings.GetCflags(config_name) cflags_c = self.msvs_settings.GetCflagsC(config_name) cflags_cc = self.msvs_settings.GetCflagsCC(config_name) extra_defines = self.msvs_settings.GetComputedDefines(config_name) # See comment at cc_command for why there's two .pdb files. pdbpath_c = pdbpath_cc = self.msvs_settings.GetCompilerPdbName( config_name, self.ExpandSpecial) if not pdbpath_c: obj = 'obj' if self.toolset != 'target': obj += '.' + self.toolset pdbpath = os.path.normpath(os.path.join(obj, self.base_dir, self.name)) pdbpath_c = pdbpath + '.c.pdb' pdbpath_cc = pdbpath + '.cc.pdb' self.WriteVariableList(ninja_file, 'pdbname_c', [pdbpath_c]) self.WriteVariableList(ninja_file, 'pdbname_cc', [pdbpath_cc]) self.WriteVariableList(ninja_file, 'pchprefix', [self.name]) else: cflags = config.get('cflags', []) cflags_c = config.get('cflags_c', []) cflags_cc = config.get('cflags_cc', []) # Respect environment variables related to build, but target-specific # flags can still override them. if self.toolset == 'target': cflags_c = (os.environ.get('CPPFLAGS', '').split() + os.environ.get('CFLAGS', '').split() + cflags_c) cflags_cc = (os.environ.get('CPPFLAGS', '').split() + os.environ.get('CXXFLAGS', '').split() + cflags_cc) elif self.toolset == 'host': cflags_c = (os.environ.get('CPPFLAGS_host', '').split() + os.environ.get('CFLAGS_host', '').split() + cflags_c) cflags_cc = (os.environ.get('CPPFLAGS_host', '').split() + os.environ.get('CXXFLAGS_host', '').split() + cflags_cc) defines = config.get('defines', []) + extra_defines self.WriteVariableList(ninja_file, 'defines', [Define(d, self.flavor) for d in defines]) if self.flavor == 'win': self.WriteVariableList(ninja_file, 'asmflags', map(self.ExpandSpecial, asmflags)) self.WriteVariableList(ninja_file, 'rcflags', [QuoteShellArgument(self.ExpandSpecial(f), self.flavor) for f in self.msvs_settings.GetRcflags(config_name, self.GypPathToNinja)]) include_dirs = config.get('include_dirs', []) env = self.GetToolchainEnv() if self.flavor == 'win': include_dirs = self.msvs_settings.AdjustIncludeDirs(include_dirs, config_name) self.WriteVariableList(ninja_file, 'includes', [QuoteShellArgument('-I' + self.GypPathToNinja(i, env), self.flavor) for i in include_dirs]) if self.flavor == 'win': midl_include_dirs = config.get('midl_include_dirs', []) midl_include_dirs = self.msvs_settings.AdjustMidlIncludeDirs( midl_include_dirs, config_name) self.WriteVariableList(ninja_file, 'midl_includes', [QuoteShellArgument('-I' + self.GypPathToNinja(i, env), self.flavor) for i in midl_include_dirs]) pch_commands = precompiled_header.GetPchBuildCommands(arch) if self.flavor == 'mac': # Most targets use no precompiled headers, so only write these if needed. for ext, var in [('c', 'cflags_pch_c'), ('cc', 'cflags_pch_cc'), ('m', 'cflags_pch_objc'), ('mm', 'cflags_pch_objcc')]: include = precompiled_header.GetInclude(ext, arch) if include: ninja_file.variable(var, include) arflags = config.get('arflags', []) self.WriteVariableList(ninja_file, 'cflags', map(self.ExpandSpecial, cflags)) self.WriteVariableList(ninja_file, 'cflags_c', map(self.ExpandSpecial, cflags_c)) self.WriteVariableList(ninja_file, 'cflags_cc', map(self.ExpandSpecial, cflags_cc)) if self.flavor == 'mac': self.WriteVariableList(ninja_file, 'cflags_objc', map(self.ExpandSpecial, cflags_objc)) self.WriteVariableList(ninja_file, 'cflags_objcc', map(self.ExpandSpecial, cflags_objcc)) self.WriteVariableList(ninja_file, 'arflags', map(self.ExpandSpecial, arflags)) ninja_file.newline() outputs = [] has_rc_source = False for source in sources: filename, ext = os.path.splitext(source) ext = ext[1:] obj_ext = self.obj_ext if ext in ('cc', 'cpp', 'cxx'): command = 'cxx' self.uses_cpp = True elif ext == 'c' or (ext == 'S' and self.flavor != 'win'): command = 'cc' elif ext == 's' and self.flavor != 'win': # Doesn't generate .o.d files. command = 'cc_s' elif (self.flavor == 'win' and ext == 'asm' and not self.msvs_settings.HasExplicitAsmRules(spec)): command = 'asm' # Add the _asm suffix as msvs is capable of handling .cc and # .asm files of the same name without collision. obj_ext = '_asm.obj' elif self.flavor == 'mac' and ext == 'm': command = 'objc' elif self.flavor == 'mac' and ext == 'mm': command = 'objcxx' self.uses_cpp = True elif self.flavor == 'win' and ext == 'rc': command = 'rc' obj_ext = '.res' has_rc_source = True else: # Ignore unhandled extensions. continue input = self.GypPathToNinja(source) output = self.GypPathToUniqueOutput(filename + obj_ext) if arch is not None: output = AddArch(output, arch) implicit = precompiled_header.GetObjDependencies([input], [output], arch) variables = [] if self.flavor == 'win': variables, output, implicit = precompiled_header.GetFlagsModifications( input, output, implicit, command, cflags_c, cflags_cc, self.ExpandSpecial) ninja_file.build(output, command, input, implicit=[gch for _, _, gch in implicit], order_only=predepends, variables=variables) outputs.append(output) if has_rc_source: resource_include_dirs = config.get('resource_include_dirs', include_dirs) self.WriteVariableList(ninja_file, 'resource_includes', [QuoteShellArgument('-I' + self.GypPathToNinja(i, env), self.flavor) for i in resource_include_dirs]) self.WritePchTargets(ninja_file, pch_commands) ninja_file.newline() return outputs	[ "def", "WriteSourcesForArch", "(", "self", ",", "ninja_file", ",", "config_name", ",", "config", ",", "sources", ",", "predepends", ",", "precompiled_header", ",", "spec", ",", "arch", "=", "None", ")", ":", "extra_defines", "=", "[", "]", "if", "self", ".", "flavor", "==", "'mac'", ":", "cflags", "=", "self", ".", "xcode_settings", ".", "GetCflags", "(", "config_name", ",", "arch", "=", "arch", ")", "cflags_c", "=", "self", ".", "xcode_settings", ".", "GetCflagsC", "(", "config_name", ")", "cflags_cc", "=", "self", ".", "xcode_settings", ".", "GetCflagsCC", "(", "config_name", ")", "cflags_objc", "=", "[", "'$cflags_c'", "]", "+", "self", ".", "xcode_settings", ".", "GetCflagsObjC", "(", "config_name", ")", "cflags_objcc", "=", "[", "'$cflags_cc'", "]", "+", "self", ".", "xcode_settings", ".", "GetCflagsObjCC", "(", "config_name", ")", "elif", "self", ".", "flavor", "==", "'win'", ":", "asmflags", "=", "self", ".", "msvs_settings", ".", "GetAsmflags", "(", "config_name", ")", "cflags", "=", "self", ".", "msvs_settings", ".", "GetCflags", "(", "config_name", ")", "cflags_c", "=", "self", ".", "msvs_settings", ".", "GetCflagsC", "(", "config_name", ")", "cflags_cc", "=", "self", ".", "msvs_settings", ".", "GetCflagsCC", "(", "config_name", ")", "extra_defines", "=", "self", ".", "msvs_settings", ".", "GetComputedDefines", "(", "config_name", ")", "# See comment at cc_command for why there's two .pdb files.", "pdbpath_c", "=", "pdbpath_cc", "=", "self", ".", "msvs_settings", ".", "GetCompilerPdbName", "(", "config_name", ",", "self", ".", "ExpandSpecial", ")", "if", "not", "pdbpath_c", ":", "obj", "=", "'obj'", "if", "self", ".", "toolset", "!=", "'target'", ":", "obj", "+=", "'.'", "+", "self", ".", "toolset", "pdbpath", "=", "os", ".", "path", ".", "normpath", "(", "os", ".", "path", ".", "join", "(", "obj", ",", "self", ".", "base_dir", ",", "self", ".", "name", ")", ")", "pdbpath_c", "=", "pdbpath", "+", "'.c.pdb'", "pdbpath_cc", "=", "pdbpath", "+", "'.cc.pdb'", "self", ".", "WriteVariableList", "(", "ninja_file", ",", "'pdbname_c'", ",", "[", "pdbpath_c", "]", ")", "self", ".", "WriteVariableList", "(", "ninja_file", ",", "'pdbname_cc'", ",", "[", "pdbpath_cc", "]", ")", "self", ".", "WriteVariableList", "(", "ninja_file", ",", "'pchprefix'", ",", "[", "self", ".", "name", "]", ")", "else", ":", "cflags", "=", "config", ".", "get", "(", "'cflags'", ",", "[", "]", ")", "cflags_c", "=", "config", ".", "get", "(", "'cflags_c'", ",", "[", "]", ")", "cflags_cc", "=", "config", ".", "get", "(", "'cflags_cc'", ",", "[", "]", ")", "# Respect environment variables related to build, but target-specific", "# flags can still override them.", "if", "self", ".", "toolset", "==", "'target'", ":", "cflags_c", "=", "(", "os", ".", "environ", ".", "get", "(", "'CPPFLAGS'", ",", "''", ")", ".", "split", "(", ")", "+", "os", ".", "environ", ".", "get", "(", "'CFLAGS'", 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"'defines'", ",", "[", "Define", "(", "d", ",", "self", ".", "flavor", ")", "for", "d", "in", "defines", "]", ")", "if", "self", ".", "flavor", "==", "'win'", ":", "self", ".", "WriteVariableList", "(", "ninja_file", ",", "'asmflags'", ",", "map", "(", "self", ".", "ExpandSpecial", ",", "asmflags", ")", ")", "self", ".", "WriteVariableList", "(", "ninja_file", ",", "'rcflags'", ",", "[", "QuoteShellArgument", "(", "self", ".", "ExpandSpecial", "(", "f", ")", ",", "self", ".", "flavor", ")", "for", "f", "in", "self", ".", "msvs_settings", ".", "GetRcflags", "(", "config_name", ",", "self", ".", "GypPathToNinja", ")", "]", ")", "include_dirs", "=", "config", ".", "get", "(", "'include_dirs'", ",", "[", "]", ")", "env", "=", "self", ".", "GetToolchainEnv", "(", ")", "if", "self", ".", "flavor", "==", "'win'", ":", "include_dirs", "=", "self", ".", "msvs_settings", ".", "AdjustIncludeDirs", "(", "include_dirs", ",", "config_name", ")", "self", ".", "WriteVariableList", "(", "ninja_file", ",", "'includes'", ",", "[", "QuoteShellArgument", "(", "'-I'", "+", "self", ".", "GypPathToNinja", "(", "i", ",", "env", ")", ",", "self", ".", "flavor", ")", "for", "i", "in", "include_dirs", "]", ")", "if", "self", ".", "flavor", "==", "'win'", ":", "midl_include_dirs", "=", "config", ".", "get", "(", "'midl_include_dirs'", ",", "[", "]", ")", "midl_include_dirs", "=", "self", ".", "msvs_settings", ".", "AdjustMidlIncludeDirs", "(", "midl_include_dirs", ",", "config_name", ")", "self", ".", "WriteVariableList", "(", "ninja_file", ",", "'midl_includes'", ",", "[", "QuoteShellArgument", "(", "'-I'", "+", "self", ".", "GypPathToNinja", "(", "i", ",", "env", ")", ",", "self", ".", "flavor", ")", "for", "i", "in", "midl_include_dirs", "]", ")", "pch_commands", "=", "precompiled_header", ".", "GetPchBuildCommands", "(", "arch", ")", "if", "self", ".", "flavor", "==", "'mac'", ":", "# Most targets use no precompiled headers, so only write these if needed.", "for", "ext", ",", "var", "in", "[", "(", "'c'", ",", "'cflags_pch_c'", ")", ",", "(", "'cc'", ",", "'cflags_pch_cc'", ")", ",", "(", "'m'", ",", "'cflags_pch_objc'", ")", ",", "(", "'mm'", ",", "'cflags_pch_objcc'", ")", "]", ":", "include", "=", "precompiled_header", ".", "GetInclude", "(", "ext", ",", "arch", ")", "if", "include", ":", "ninja_file", ".", "variable", "(", "var", ",", "include", ")", "arflags", "=", "config", ".", "get", "(", "'arflags'", ",", "[", "]", ")", "self", ".", "WriteVariableList", "(", "ninja_file", ",", "'cflags'", ",", "map", "(", "self", ".", "ExpandSpecial", ",", "cflags", ")", ")", "self", ".", "WriteVariableList", "(", "ninja_file", ",", "'cflags_c'", ",", "map", "(", "self", ".", "ExpandSpecial", ",", "cflags_c", ")", ")", "self", ".", "WriteVariableList", "(", "ninja_file", ",", "'cflags_cc'", ",", "map", "(", "self", ".", "ExpandSpecial", ",", "cflags_cc", ")", ")", "if", "self", ".", "flavor", "==", "'mac'", ":", "self", ".", "WriteVariableList", "(", "ninja_file", ",", "'cflags_objc'", ",", "map", "(", "self", ".", "ExpandSpecial", ",", "cflags_objc", ")", ")", "self", ".", "WriteVariableList", "(", "ninja_file", ",", "'cflags_objcc'", ",", "map", "(", "self", ".", "ExpandSpecial", ",", "cflags_objcc", ")", ")", "self", ".", "WriteVariableList", "(", "ninja_file", ",", "'arflags'", ",", "map", "(", "self", ".", "ExpandSpecial", ",", "arflags", ")", ")", "ninja_file", ".", "newline", "(", ")", "outputs", "=", "[", "]", "has_rc_source", "=", "False", "for", "source", "in", "sources", ":", "filename", ",", "ext", "=", "os", ".", "path", ".", "splitext", "(", "source", ")", "ext", "=", "ext", "[", "1", ":", "]", "obj_ext", "=", "self", ".", "obj_ext", "if", "ext", "in", "(", "'cc'", ",", "'cpp'", ",", "'cxx'", ")", ":", "command", "=", "'cxx'", "self", ".", "uses_cpp", "=", "True", "elif", "ext", "==", "'c'", "or", "(", "ext", "==", "'S'", "and", "self", ".", "flavor", "!=", "'win'", ")", ":", "command", "=", "'cc'", "elif", "ext", "==", "'s'", "and", "self", ".", "flavor", "!=", "'win'", ":", "# Doesn't generate .o.d files.", "command", "=", "'cc_s'", "elif", "(", "self", ".", "flavor", "==", "'win'", "and", "ext", "==", "'asm'", "and", "not", "self", ".", "msvs_settings", ".", "HasExplicitAsmRules", "(", "spec", ")", ")", ":", "command", "=", "'asm'", "# Add the _asm suffix as msvs is capable of handling .cc and", "# .asm files of the same name without collision.", "obj_ext", "=", "'_asm.obj'", "elif", "self", ".", "flavor", "==", "'mac'", "and", "ext", "==", "'m'", ":", "command", "=", "'objc'", "elif", "self", ".", "flavor", "==", "'mac'", "and", "ext", "==", "'mm'", ":", "command", "=", "'objcxx'", "self", ".", "uses_cpp", "=", "True", "elif", "self", ".", "flavor", "==", "'win'", "and", "ext", "==", "'rc'", ":", "command", "=", "'rc'", "obj_ext", "=", "'.res'", "has_rc_source", "=", "True", "else", ":", "# Ignore unhandled extensions.", "continue", "input", "=", "self", ".", "GypPathToNinja", "(", "source", ")", "output", "=", "self", ".", "GypPathToUniqueOutput", "(", "filename", "+", "obj_ext", ")", "if", "arch", "is", "not", "None", ":", "output", "=", "AddArch", "(", "output", ",", "arch", ")", "implicit", "=", "precompiled_header", ".", "GetObjDependencies", "(", "[", "input", "]", ",", "[", "output", "]", ",", "arch", ")", "variables", "=", "[", "]", "if", "self", ".", "flavor", "==", "'win'", ":", "variables", ",", "output", ",", "implicit", "=", "precompiled_header", ".", "GetFlagsModifications", "(", "input", ",", "output", ",", "implicit", ",", "command", ",", "cflags_c", ",", "cflags_cc", ",", "self", ".", "ExpandSpecial", ")", "ninja_file", ".", "build", "(", "output", ",", "command", ",", "input", ",", "implicit", "=", "[", "gch", "for", "_", ",", "_", ",", "gch", "in", "implicit", "]", ",", "order_only", "=", "predepends", ",", "variables", "=", "variables", ")", "outputs", ".", "append", "(", "output", ")", "if", "has_rc_source", ":", "resource_include_dirs", "=", "config", ".", "get", "(", "'resource_include_dirs'", ",", "include_dirs", ")", "self", ".", "WriteVariableList", "(", "ninja_file", ",", "'resource_includes'", ",", "[", "QuoteShellArgument", "(", "'-I'", "+", "self", ".", "GypPathToNinja", "(", "i", ",", "env", ")", ",", "self", ".", "flavor", ")", "for", "i", "in", "resource_include_dirs", "]", ")", "self", ".", "WritePchTargets", "(", "ninja_file", ",", "pch_commands", ")", "ninja_file", ".", "newline", "(", ")", "return", "outputs" ]	https://github.com/apiaryio/snowcrash/blob/b5b39faa85f88ee17459edf39fdc6fe4fc70d2e3/tools/gyp/pylib/gyp/generator/ninja.py#L891-L1049
wxWidgets/wxPython-Classic	19571e1ae65f1ac445f5491474121998c97a1bf0	src/gtk/_gdi.py	python	ImageList.GetSize	(args, *kwargs)	return _gdi_.ImageList_GetSize(args, *kwargs)	GetSize(index) -> (width,height)	GetSize(index) -> (width,height)	[ "GetSize", "(", "index", ")", "-", ">", "(", "width", "height", ")" ]	def GetSize(args, kwargs): """GetSize(index) -> (width,height)""" return _gdi_.ImageList_GetSize(args, **kwargs)	[ "def", "GetSize", "(", "", "args", ",", "", "", "kwargs", ")", ":", "return", "_gdi_", ".", "ImageList_GetSize", "(", "", "args", ",", "", "", "kwargs", ")" ]	https://github.com/wxWidgets/wxPython-Classic/blob/19571e1ae65f1ac445f5491474121998c97a1bf0/src/gtk/_gdi.py#L6776-L6778
catboost/catboost	167f64f237114a4d10b2b4ee42adb4569137debe	contrib/python/protobuf/py3/google/protobuf/text_format.py	python	Tokenizer.ConsumeString	(self)		Consumes a string value. Returns: The string parsed. Raises: ParseError: If a string value couldn't be consumed.	Consumes a string value.	[ "Consumes", "a", "string", "value", "." ]	def ConsumeString(self): """Consumes a string value. Returns: The string parsed. Raises: ParseError: If a string value couldn't be consumed. """ the_bytes = self.ConsumeByteString() try: return six.text_type(the_bytes, 'utf-8') except UnicodeDecodeError as e: raise self._StringParseError(e)	[ "def", "ConsumeString", "(", "self", ")", ":", "the_bytes", "=", "self", ".", "ConsumeByteString", "(", ")", "try", ":", "return", "six", ".", "text_type", "(", "the_bytes", ",", "'utf-8'", ")", "except", "UnicodeDecodeError", "as", "e", ":", "raise", "self", ".", "_StringParseError", "(", "e", ")" ]	https://github.com/catboost/catboost/blob/167f64f237114a4d10b2b4ee42adb4569137debe/contrib/python/protobuf/py3/google/protobuf/text_format.py#L1468-L1481
asLody/whale	6a661b27cc4cf83b7b5a3b02451597ee1ac7f264	whale/cpplint.py	python	ResetNolintSuppressions	()		Resets the set of NOLINT suppressions to empty.	Resets the set of NOLINT suppressions to empty.	[ "Resets", "the", "set", "of", "NOLINT", "suppressions", "to", "empty", "." ]	def ResetNolintSuppressions(): """Resets the set of NOLINT suppressions to empty.""" _error_suppressions.clear() _global_error_suppressions.clear()	[ "def", "ResetNolintSuppressions", "(", ")", ":", "_error_suppressions", ".", "clear", "(", ")", "_global_error_suppressions", ".", "clear", "(", ")" ]	https://github.com/asLody/whale/blob/6a661b27cc4cf83b7b5a3b02451597ee1ac7f264/whale/cpplint.py#L633-L636
PaddlePaddle/Paddle	1252f4bb3e574df80aa6d18c7ddae1b3a90bd81c	python/paddle/fluid/transpiler/distribute_transpiler.py	python	DistributeTranspiler.get_startup_program	(self, endpoint, pserver_program=None, startup_program=None)	return s_prog	Deprecated Get startup program for current parameter server. Modify operator input variables if there are variables that were split to several blocks. Args: endpoint (str): current pserver endpoint. pserver_program (Program): deprecated, call get_pserver_program first. startup_program (Program): deprecated, should pass startup_program when initializing Returns: Program: parameter server side startup program. Examples: .. code-block:: python pserver_endpoints = "192.168.0.1:6174,192.168.0.2:6174" trainer_endpoints = "192.168.0.1:6174,192.168.0.2:6174" current_endpoint = "192.168.0.1:6174" trainer_id = 0 trainers = 4 t = fluid.DistributeTranspiler() t.transpile(trainer_id, pservers=pserver_endpoints, trainers=trainers) pserver_program = t.get_pserver_program(current_endpoint) pserver_startup_program = t.get_startup_program(current_endpoint, pserver_program)	Deprecated	[ "", "Deprecated", "" ]	def get_startup_program(self, endpoint, pserver_program=None, startup_program=None): """ Deprecated Get startup program for current parameter server. Modify operator input variables if there are variables that were split to several blocks. Args: endpoint (str): current pserver endpoint. pserver_program (Program): deprecated, call get_pserver_program first. startup_program (Program): deprecated, should pass startup_program when initializing Returns: Program: parameter server side startup program. Examples: .. code-block:: python pserver_endpoints = "192.168.0.1:6174,192.168.0.2:6174" trainer_endpoints = "192.168.0.1:6174,192.168.0.2:6174" current_endpoint = "192.168.0.1:6174" trainer_id = 0 trainers = 4 t = fluid.DistributeTranspiler() t.transpile(trainer_id, pservers=pserver_endpoints, trainers=trainers) pserver_program = t.get_pserver_program(current_endpoint) pserver_startup_program = t.get_startup_program(current_endpoint, pserver_program) """ s_prog = Program() orig_s_prog = self.startup_program s_prog.random_seed = orig_s_prog.random_seed params = self.param_grad_ep_mapping[endpoint]["params"] def _get_splited_name_and_shape(varname): for idx, splited_param in enumerate(params): pname = splited_param.name if same_or_split_var(pname, varname) and varname != pname: return pname, splited_param.shape return "", [] # 1. create vars in pserver program to startup program pserver_vars = pserver_program.global_block().vars created_var_map = collections.OrderedDict() for _, var in six.iteritems(pserver_vars): tmpvar = s_prog.global_block()._clone_variable(var) created_var_map[var.name] = tmpvar # 2. rename op outputs for op in orig_s_prog.global_block().ops: new_outputs = collections.OrderedDict() # do not append startup op if var is not on this pserver op_on_pserver = False # TODO(gongwb): remove this line. if op.type not in ["recv", "fetch_barrier", "concat"]: for key in op.output_names: newname, _ = _get_splited_name_and_shape(op.output(key)[0]) if newname: op_on_pserver = True new_outputs[key] = created_var_map[newname] elif op.output(key)[0] in pserver_vars: op_on_pserver = True new_outputs[key] = pserver_vars[op.output(key)[0]] if op_on_pserver: # most startup program ops have no inputs new_inputs = self._get_input_map_from_op(pserver_vars, op) if op.type in [ "gaussian_random", "fill_constant", "uniform_random", "truncated_gaussian_random" ]: op._set_attr("shape", list(new_outputs["Out"].shape)) s_prog.global_block().append_op( type=op.type, inputs=new_inputs, outputs=new_outputs, attrs=op.all_attrs()) if self.config.enable_dc_asgd: for p, p_bak in self.param_bak_list: startup_param_var = s_prog.global_block().vars[p.name] startup_tmpvar = s_prog.global_block().vars[p_bak.name] # copy init random value to param_bak s_prog.global_block().append_op( type="assign", inputs={"X": startup_param_var}, outputs={"Out": startup_tmpvar}) return s_prog	[ "def", "get_startup_program", "(", "self", ",", "endpoint", ",", "pserver_program", "=", "None", ",", "startup_program", "=", "None", ")", ":", "s_prog", "=", "Program", "(", ")", "orig_s_prog", "=", "self", ".", "startup_program", "s_prog", ".", "random_seed", "=", "orig_s_prog", ".", "random_seed", "params", "=", "self", ".", "param_grad_ep_mapping", "[", "endpoint", "]", "[", "\"params\"", "]", "def", "_get_splited_name_and_shape", "(", "varname", ")", ":", "for", "idx", ",", "splited_param", "in", "enumerate", "(", "params", ")", ":", "pname", "=", "splited_param", ".", "name", "if", "same_or_split_var", "(", "pname", ",", "varname", ")", "and", "varname", "!=", "pname", ":", "return", "pname", ",", "splited_param", ".", "shape", "return", "\"\"", ",", "[", "]", "# 1. create vars in pserver program to startup program", "pserver_vars", "=", "pserver_program", ".", "global_block", "(", ")", ".", "vars", "created_var_map", "=", "collections", ".", "OrderedDict", "(", ")", "for", "_", ",", "var", "in", "six", ".", "iteritems", "(", "pserver_vars", ")", ":", "tmpvar", "=", "s_prog", ".", "global_block", "(", ")", ".", "_clone_variable", "(", "var", ")", "created_var_map", "[", "var", ".", "name", "]", "=", "tmpvar", "# 2. rename op outputs", "for", "op", "in", "orig_s_prog", ".", "global_block", "(", ")", ".", "ops", ":", "new_outputs", "=", "collections", ".", "OrderedDict", "(", ")", "# do not append startup op if var is not on this pserver", "op_on_pserver", "=", "False", "# TODO(gongwb): remove this line.", "if", "op", ".", "type", "not", "in", "[", "\"recv\"", ",", "\"fetch_barrier\"", ",", "\"concat\"", "]", ":", "for", "key", "in", "op", ".", "output_names", ":", "newname", ",", "_", "=", "_get_splited_name_and_shape", "(", "op", ".", "output", "(", "key", ")", "[", "0", "]", ")", "if", "newname", ":", "op_on_pserver", "=", "True", "new_outputs", "[", "key", "]", "=", "created_var_map", "[", "newname", "]", "elif", "op", ".", "output", "(", "key", ")", "[", "0", "]", "in", "pserver_vars", ":", "op_on_pserver", "=", "True", "new_outputs", "[", "key", "]", "=", "pserver_vars", "[", "op", ".", "output", "(", "key", ")", "[", "0", "]", "]", "if", "op_on_pserver", ":", "# most startup program ops have no inputs", "new_inputs", "=", "self", ".", "_get_input_map_from_op", "(", "pserver_vars", ",", "op", ")", "if", "op", ".", "type", "in", "[", "\"gaussian_random\"", ",", "\"fill_constant\"", ",", "\"uniform_random\"", ",", "\"truncated_gaussian_random\"", "]", ":", "op", ".", "_set_attr", "(", "\"shape\"", ",", "list", "(", "new_outputs", "[", "\"Out\"", "]", ".", "shape", ")", ")", "s_prog", ".", "global_block", "(", ")", ".", "append_op", "(", "type", "=", "op", ".", "type", ",", "inputs", "=", "new_inputs", ",", "outputs", "=", "new_outputs", ",", "attrs", "=", "op", ".", "all_attrs", "(", ")", ")", "if", "self", ".", "config", ".", "enable_dc_asgd", ":", "for", "p", ",", "p_bak", "in", "self", ".", "param_bak_list", ":", "startup_param_var", "=", "s_prog", ".", "global_block", "(", ")", ".", "vars", "[", "p", ".", "name", "]", "startup_tmpvar", "=", "s_prog", ".", "global_block", "(", ")", ".", "vars", "[", "p_bak", ".", "name", "]", "# copy init random value to param_bak", "s_prog", ".", "global_block", "(", ")", ".", "append_op", "(", "type", "=", "\"assign\"", ",", "inputs", "=", "{", "\"X\"", ":", "startup_param_var", "}", ",", "outputs", "=", "{", "\"Out\"", ":", "startup_tmpvar", "}", ")", "return", "s_prog" ]	https://github.com/PaddlePaddle/Paddle/blob/1252f4bb3e574df80aa6d18c7ddae1b3a90bd81c/python/paddle/fluid/transpiler/distribute_transpiler.py#L1455-L1549
aws/lumberyard	f85344403c1c2e77ec8c75deb2c116e97b713217	dev/Tools/Python/3.7.10/linux_x64/lib/python3.7/warnings.py	python	_showwarnmsg	(msg)		Hook to write a warning to a file; replace if you like.	Hook to write a warning to a file; replace if you like.	[ "Hook", "to", "write", "a", "warning", "to", "a", "file", ";", "replace", "if", "you", "like", "." ]	def _showwarnmsg(msg): """Hook to write a warning to a file; replace if you like.""" try: sw = showwarning except NameError: pass else: if sw is not _showwarning_orig: # warnings.showwarning() was replaced if not callable(sw): raise TypeError("warnings.showwarning() must be set to a " "function or method") sw(msg.message, msg.category, msg.filename, msg.lineno, msg.file, msg.line) return _showwarnmsg_impl(msg)	[ "def", "_showwarnmsg", "(", "msg", ")", ":", "try", ":", "sw", "=", "showwarning", "except", "NameError", ":", "pass", "else", ":", "if", "sw", "is", "not", "_showwarning_orig", ":", "# warnings.showwarning() was replaced", "if", "not", "callable", "(", "sw", ")", ":", "raise", "TypeError", "(", "\"warnings.showwarning() must be set to a \"", "\"function or method\"", ")", "sw", "(", "msg", ".", "message", ",", "msg", ".", "category", ",", "msg", ".", "filename", ",", "msg", ".", "lineno", ",", "msg", ".", "file", ",", "msg", ".", "line", ")", "return", "_showwarnmsg_impl", "(", "msg", ")" ]	https://github.com/aws/lumberyard/blob/f85344403c1c2e77ec8c75deb2c116e97b713217/dev/Tools/Python/3.7.10/linux_x64/lib/python3.7/warnings.py#L96-L112
Xilinx/Vitis-AI	fc74d404563d9951b57245443c73bef389f3657f	tools/Vitis-AI-Quantizer/vai_q_tensorflow1.x/tensorflow/python/profiler/internal/flops_registry.py	python	_arg_max_flops	(graph, node)	return _reduction_op_flops(graph, node, reduce_flops=1, finalize_flops=0)	Compute flops for ArgMax operation.	Compute flops for ArgMax operation.	[ "Compute", "flops", "for", "ArgMax", "operation", "." ]	def _arg_max_flops(graph, node): """Compute flops for ArgMax operation.""" # reduction - comparison, no finalization return _reduction_op_flops(graph, node, reduce_flops=1, finalize_flops=0)	[ "def", "_arg_max_flops", "(", "graph", ",", "node", ")", ":", "# reduction - comparison, no finalization", "return", "_reduction_op_flops", "(", "graph", ",", "node", ",", "reduce_flops", "=", "1", ",", "finalize_flops", "=", "0", ")" ]	https://github.com/Xilinx/Vitis-AI/blob/fc74d404563d9951b57245443c73bef389f3657f/tools/Vitis-AI-Quantizer/vai_q_tensorflow1.x/tensorflow/python/profiler/internal/flops_registry.py#L267-L270
trilinos/Trilinos	6168be6dd51e35e1cd681e9c4b24433e709df140	packages/framework/pr_tools/trilinosprhelpers/jenkinsenv/EnvvarHelper.py	python	EnvvarHelper.get_envvar_str	(self, envvar_name, error_if_missing=False)	return output	Get the value of an environment variable if it exists and return it as a string. If the envvar does not exist, return None. Args: envvar_name (str): The environment variable name. error_if_missing (bool): If True then throw a KeyError if the envvar does not exist. If False, we return None if the envvar is missing. Default: False Returns: The value of the envvar as a string if it exists. If error_if_missing is false, we return `None` if the envvar is missing or we throw a KeyError if it's missing. Throws: KeyError: If error_is_missing is True and the envvar does not exist.	Get the value of an environment variable if it exists and return it as a string. If the envvar does not exist, return None.	[ "Get", "the", "value", "of", "an", "environment", "variable", "if", "it", "exists", "and", "return", "it", "as", "a", "string", ".", "If", "the", "envvar", "does", "not", "exist", "return", "None", "." ]	def get_envvar_str(self, envvar_name, error_if_missing=False): """ Get the value of an environment variable if it exists and return it as a string. If the envvar does not exist, return None. Args: envvar_name (str): The environment variable name. error_if_missing (bool): If True then throw a KeyError if the envvar does not exist. If False, we return None if the envvar is missing. Default: False Returns: The value of the envvar as a string if it exists. If error_if_missing is false, we return `None` if the envvar is missing or we throw a KeyError if it's missing. Throws: KeyError: If error_is_missing is True and the envvar does not exist. """ assert isinstance(envvar_name, str) assert isinstance(error_if_missing, bool) output = None if envvar_name in os.environ: output = str( os.environ[envvar_name] ) elif error_if_missing: raise KeyError("ERROR: Missing required envvar '{}'".format(envvar_name)) return output	[ "def", "get_envvar_str", "(", "self", ",", "envvar_name", ",", "error_if_missing", "=", "False", ")", ":", "assert", "isinstance", "(", "envvar_name", ",", "str", ")", "assert", "isinstance", "(", "error_if_missing", ",", "bool", ")", "output", "=", "None", "if", "envvar_name", "in", "os", ".", "environ", ":", "output", "=", "str", "(", "os", ".", "environ", "[", "envvar_name", "]", ")", "elif", "error_if_missing", ":", "raise", "KeyError", "(", "\"ERROR: Missing required envvar '{}'\"", ".", "format", "(", "envvar_name", ")", ")", "return", "output" ]	https://github.com/trilinos/Trilinos/blob/6168be6dd51e35e1cd681e9c4b24433e709df140/packages/framework/pr_tools/trilinosprhelpers/jenkinsenv/EnvvarHelper.py#L25-L52
hunterlew/mstar_deeplearning_project	3761624dcbd7d44af257200542d13d1444dc634a	classification/caffe/build/Release/pycaffe/caffe/io.py	python	Transformer.set_input_scale	(self, in_, scale)		Set the scale of preprocessed inputs s.t. the blob = blob * scale. N.B. input_scale is done AFTER mean subtraction and other preprocessing while raw_scale is done BEFORE. Parameters ---------- in_ : which input to assign this scale factor scale : scale coefficient	Set the scale of preprocessed inputs s.t. the blob = blob * scale. N.B. input_scale is done AFTER mean subtraction and other preprocessing while raw_scale is done BEFORE.	[ "Set", "the", "scale", "of", "preprocessed", "inputs", "s", ".", "t", ".", "the", "blob", "=", "blob", "*", "scale", ".", "N", ".", "B", ".", "input_scale", "is", "done", "AFTER", "mean", "subtraction", "and", "other", "preprocessing", "while", "raw_scale", "is", "done", "BEFORE", "." ]	def set_input_scale(self, in_, scale): """ Set the scale of preprocessed inputs s.t. the blob = blob * scale. N.B. input_scale is done AFTER mean subtraction and other preprocessing while raw_scale is done BEFORE. Parameters ---------- in_ : which input to assign this scale factor scale : scale coefficient """ self.__check_input(in_) self.input_scale[in_] = scale	[ "def", "set_input_scale", "(", "self", ",", "in_", ",", "scale", ")", ":", "self", ".", "__check_input", "(", "in_", ")", "self", ".", "input_scale", "[", "in_", "]", "=", "scale" ]	https://github.com/hunterlew/mstar_deeplearning_project/blob/3761624dcbd7d44af257200542d13d1444dc634a/classification/caffe/build/Release/pycaffe/caffe/io.py#L262-L274
google/earthenterprise	0fe84e29be470cd857e3a0e52e5d0afd5bb8cee9	earth_enterprise/src/server/wsgi/serve/publish/publish_manager_helper.py	python	PublishManagerHelper.__init__	(self)		Inits publish manager helper.	Inits publish manager helper.	[ "Inits", "publish", "manager", "helper", "." ]	def __init__(self): """Inits publish manager helper.""" super(PublishManagerHelper, self).__init__() self._search_manager = search_manager.SearchManager()	[ "def", "__init__", "(", "self", ")", ":", "super", "(", "PublishManagerHelper", ",", "self", ")", ".", "__init__", "(", ")", "self", ".", "_search_manager", "=", "search_manager", ".", "SearchManager", "(", ")" ]	https://github.com/google/earthenterprise/blob/0fe84e29be470cd857e3a0e52e5d0afd5bb8cee9/earth_enterprise/src/server/wsgi/serve/publish/publish_manager_helper.py#L119-L122
miyosuda/TensorFlowAndroidMNIST	7b5a4603d2780a8a2834575706e9001977524007	jni-build/jni/include/tensorflow/contrib/distributions/python/ops/student_t.py	python	StudentT.entropy	(self, name="entropy")		The entropy of Student t distribution(s). Args: name: The name to give this op. Returns: entropy: tensor of dtype `dtype`, the entropy.	The entropy of Student t distribution(s).	[ "The", "entropy", "of", "Student", "t", "distribution", "(", "s", ")", "." ]	def entropy(self, name="entropy"): """The entropy of Student t distribution(s). Args: name: The name to give this op. Returns: entropy: tensor of dtype `dtype`, the entropy. """ with ops.name_scope(self.name): with ops.op_scope([self._df, self._sigma], name): u = array_ops.expand_dims(self._df + self._zeros(), -1) v = array_ops.expand_dims(self._ones(), -1) beta_arg = array_ops.concat(len(u.get_shape()) - 1, [u, v]) / 2 return ((self._df + 1) / 2 * (math_ops.digamma((self._df + 1) / 2) - math_ops.digamma(self._df / 2)) + math_ops.log(self._df) / 2 + special_math_ops.lbeta(beta_arg) + math_ops.log(self._sigma))	[ "def", "entropy", "(", "self", ",", "name", "=", "\"entropy\"", ")", ":", "with", "ops", ".", "name_scope", "(", "self", ".", "name", ")", ":", "with", "ops", ".", "op_scope", "(", "[", "self", ".", "_df", ",", "self", ".", "_sigma", "]", ",", "name", ")", ":", "u", "=", "array_ops", ".", "expand_dims", "(", "self", ".", "_df", "+", "self", ".", "_zeros", "(", ")", ",", "-", "1", ")", "v", "=", "array_ops", ".", "expand_dims", "(", "self", ".", "_ones", "(", ")", ",", "-", "1", ")", "beta_arg", "=", "array_ops", ".", "concat", "(", "len", "(", "u", ".", "get_shape", "(", ")", ")", "-", "1", ",", "[", "u", ",", "v", "]", ")", "/", "2", "return", "(", "(", "self", ".", "_df", "+", "1", ")", "/", "2", "*", "(", "math_ops", ".", "digamma", "(", "(", "self", ".", "_df", "+", "1", ")", "/", "2", ")", "-", "math_ops", ".", "digamma", "(", "self", ".", "_df", "/", "2", ")", ")", "+", "math_ops", ".", "log", "(", "self", ".", "_df", ")", "/", "2", "+", "special_math_ops", ".", "lbeta", "(", "beta_arg", ")", "+", "math_ops", ".", "log", "(", "self", ".", "_sigma", ")", ")" ]	https://github.com/miyosuda/TensorFlowAndroidMNIST/blob/7b5a4603d2780a8a2834575706e9001977524007/jni-build/jni/include/tensorflow/contrib/distributions/python/ops/student_t.py#L314-L332
BlzFans/wke	b0fa21158312e40c5fbd84682d643022b6c34a93	cygwin/lib/python2.6/lib2to3/fixer_util.py	python	find_root	(node)	return node	Find the top level namespace.	Find the top level namespace.	[ "Find", "the", "top", "level", "namespace", "." ]	def find_root(node): """Find the top level namespace.""" # Scamper up to the top level namespace while node.type != syms.file_input: assert node.parent, "Tree is insane! root found before "\ "file_input node was found." node = node.parent return node	[ "def", "find_root", "(", "node", ")", ":", "# Scamper up to the top level namespace", "while", "node", ".", "type", "!=", "syms", ".", "file_input", ":", "assert", "node", ".", "parent", ",", "\"Tree is insane! root found before \"", "\"file_input node was found.\"", "node", "=", "node", ".", "parent", "return", "node" ]	https://github.com/BlzFans/wke/blob/b0fa21158312e40c5fbd84682d643022b6c34a93/cygwin/lib/python2.6/lib2to3/fixer_util.py#L261-L268
facebook/fboss	60063db1df37c2ec0e7dcd0955c54885ea9bf7f0	fboss/py/fboss/cli/cli.py	python	RouteCli.route	()		Show route information	Show route information	[ "Show", "route", "information" ]	def route(): """Show route information""" pass	[ "def", "route", "(", ")", ":", "pass" ]	https://github.com/facebook/fboss/blob/60063db1df37c2ec0e7dcd0955c54885ea9bf7f0/fboss/py/fboss/cli/cli.py#L547-L549
twtygqyy/caffe-augmentation	c76600d247e5132fa5bd89d87bb5df458341fa84	scripts/cpp_lint.py	python	CheckLanguage	(filename, clean_lines, linenum, file_extension, include_state, nesting_state, error)		Checks rules from the 'C++ language rules' section of cppguide.html. Some of these rules are hard to test (function overloading, using uint32 inappropriately), but we do the best we can. Args: filename: The name of the current file. clean_lines: A CleansedLines instance containing the file. linenum: The number of the line to check. file_extension: The extension (without the dot) of the filename. include_state: An _IncludeState instance in which the headers are inserted. nesting_state: A _NestingState instance which maintains information about the current stack of nested blocks being parsed. error: The function to call with any errors found.	Checks rules from the 'C++ language rules' section of cppguide.html.	[ "Checks", "rules", "from", "the", "C", "++", "language", "rules", "section", "of", "cppguide", ".", "html", "." ]	def CheckLanguage(filename, clean_lines, linenum, file_extension, include_state, nesting_state, error): """Checks rules from the 'C++ language rules' section of cppguide.html. Some of these rules are hard to test (function overloading, using uint32 inappropriately), but we do the best we can. Args: filename: The name of the current file. clean_lines: A CleansedLines instance containing the file. linenum: The number of the line to check. file_extension: The extension (without the dot) of the filename. include_state: An _IncludeState instance in which the headers are inserted. nesting_state: A _NestingState instance which maintains information about the current stack of nested blocks being parsed. error: The function to call with any errors found. """ # If the line is empty or consists of entirely a comment, no need to # check it. line = clean_lines.elided[linenum] if not line: return match = _RE_PATTERN_INCLUDE.search(line) if match: CheckIncludeLine(filename, clean_lines, linenum, include_state, error) return # Reset include state across preprocessor directives. This is meant # to silence warnings for conditional includes. if Match(r'^\s#\s(?:ifdef\|elif\|else\|endif)\b', line): include_state.ResetSection() # Make Windows paths like Unix. fullname = os.path.abspath(filename).replace('\\', '/') # TODO(unknown): figure out if they're using default arguments in fn proto. # Check to see if they're using an conversion function cast. # I just try to capture the most common basic types, though there are more. # Parameterless conversion functions, such as bool(), are allowed as they are # probably a member operator declaration or default constructor. match = Search( r'(\bnew\s+)?\b' # Grab 'new' operator, if it's there r'(int\|float\|double\|bool\|char\|int32\|uint32\|int64\|uint64)' r'(\([^)].)', line) if match: matched_new = match.group(1) matched_type = match.group(2) matched_funcptr = match.group(3) # gMock methods are defined using some variant of MOCK_METHODx(name, type) # where type may be float(), int(string), etc. Without context they are # virtually indistinguishable from int(x) casts. Likewise, gMock's # MockCallback takes a template parameter of the form return_type(arg_type), # which looks much like the cast we're trying to detect. # # std::function<> wrapper has a similar problem. # # Return types for function pointers also look like casts if they # don't have an extra space. if (matched_new is None and # If new operator, then this isn't a cast not (Match(r'^\sMOCK_(CONST_)?METHOD\d+(_T)?\(', line) or Search(r'\bMockCallback<.>', line) or Search(r'\bstd::function<.>', line)) and not (matched_funcptr and Match(r'\((?:[^() ]+::\s\\s)?[^() ]+\)\s\(', matched_funcptr))): # Try a bit harder to catch gmock lines: the only place where # something looks like an old-style cast is where we declare the # return type of the mocked method, and the only time when we # are missing context is if MOCK_METHOD was split across # multiple lines. The missing MOCK_METHOD is usually one or two # lines back, so scan back one or two lines. # # It's not possible for gmock macros to appear in the first 2 # lines, since the class head + section name takes up 2 lines. if (linenum < 2 or not (Match(r'^\sMOCK_(?:CONST_)?METHOD\d+(?:_T)?\((?:\S+,)?\s$', clean_lines.elided[linenum - 1]) or Match(r'^\sMOCK_(?:CONST_)?METHOD\d+(?:_T)?\(\s$', clean_lines.elided[linenum - 2]))): error(filename, linenum, 'readability/casting', 4, 'Using deprecated casting style. ' 'Use static_cast<%s>(...) instead' % matched_type) CheckCStyleCast(filename, linenum, line, clean_lines.raw_lines[linenum], 'static_cast', r'\((int\|float\|double\|bool\|char\|u?int(16\|32\|64))\)', error) # This doesn't catch all cases. Consider (const char * const)"hello". # # (char ) "foo" should always be a const_cast (reinterpret_cast won't # compile). if CheckCStyleCast(filename, linenum, line, clean_lines.raw_lines[linenum], 'const_cast', r'\((char\s?\+\s?)\)\s"', error): pass else: # Check pointer casts for other than string constants CheckCStyleCast(filename, linenum, line, clean_lines.raw_lines[linenum], 'reinterpret_cast', r'\((\w+\s?\+\s?)\)', error) # In addition, we look for people taking the address of a cast. This # is dangerous -- casts can assign to temporaries, so the pointer doesn't # point where you think. match = Search( r'(?:&\(([^)]+)\)[\w(])\|' r'(?:&(static\|dynamic\|down\|reinterpret)_cast\b)', line) if match and match.group(1) != '': error(filename, linenum, 'runtime/casting', 4, ('Are you taking an address of a cast? ' 'This is dangerous: could be a temp var. ' 'Take the address before doing the cast, rather than after')) # Create an extended_line, which is the concatenation of the current and # next lines, for more effective checking of code that may span more than one # line. if linenum + 1 < clean_lines.NumLines(): extended_line = line + clean_lines.elided[linenum + 1] else: extended_line = line # Check for people declaring static/global STL strings at the top level. # This is dangerous because the C++ language does not guarantee that # globals with constructors are initialized before the first access. match = Match( r'((?:\|static +)(?:\|const +))string +([a-zA-Z0-9_:]+)\b(.)', line) # Make sure it's not a function. # Function template specialization looks like: "string foo<Type>(...". # Class template definitions look like: "string Foo<Type>::Method(...". # # Also ignore things that look like operators. These are matched separately # because operator names cross non-word boundaries. If we change the pattern # above, we would decrease the accuracy of matching identifiers. if (match and not Search(r'\boperator\W', line) and not Match(r'\s(<.>)?(::[a-zA-Z0-9_]+)?\s\(([^"]\|$)', match.group(3))): error(filename, linenum, 'runtime/string', 4, 'For a static/global string constant, use a C style string instead: ' '"%schar %s[]".' % (match.group(1), match.group(2))) if Search(r'\b([A-Za-z0-9_]_)\(\1\)', line): error(filename, linenum, 'runtime/init', 4, 'You seem to be initializing a member variable with itself.') if file_extension == 'h': # TODO(unknown): check that 1-arg constructors are explicit. # How to tell it's a constructor? # (handled in CheckForNonStandardConstructs for now) # TODO(unknown): check that classes have DISALLOW_EVIL_CONSTRUCTORS # (level 1 error) pass # Check if people are using the verboten C basic types. The only exception # we regularly allow is "unsigned short port" for port. if Search(r'\bshort port\b', line): if not Search(r'\bunsigned short port\b', line): error(filename, linenum, 'runtime/int', 4, 'Use "unsigned short" for ports, not "short"') else: match = Search(r'\b(short\|long(?! +double)\|long long)\b', line) if match: error(filename, linenum, 'runtime/int', 4, 'Use int16/int64/etc, rather than the C type %s' % match.group(1)) # When snprintf is used, the second argument shouldn't be a literal. match = Search(r'snprintf\s\(([^,]),\s([0-9])\s,', line) if match and match.group(2) != '0': # If 2nd arg is zero, snprintf is used to calculate size. error(filename, linenum, 'runtime/printf', 3, 'If you can, use sizeof(%s) instead of %s as the 2nd arg ' 'to snprintf.' % (match.group(1), match.group(2))) # Check if some verboten C functions are being used. if Search(r'\bsprintf\b', line): error(filename, linenum, 'runtime/printf', 5, 'Never use sprintf. Use snprintf instead.') match = Search(r'\b(strcpy\|strcat)\b', line) if match: error(filename, linenum, 'runtime/printf', 4, 'Almost always, snprintf is better than %s' % match.group(1)) # Check if some verboten operator overloading is going on # TODO(unknown): catch out-of-line unary operator&: # class X {}; # int operator&(const X& x) { return 42; } // unary operator& # The trick is it's hard to tell apart from binary operator&: # class Y { int operator&(const Y& x) { return 23; } }; // binary operator& if Search(r'\boperator\s&\s\(\s\)', line): error(filename, linenum, 'runtime/operator', 4, 'Unary operator& is dangerous. Do not use it.') # Check for suspicious usage of "if" like # } if (a == b) { if Search(r'\}\sif\s\(', line): error(filename, linenum, 'readability/braces', 4, 'Did you mean "else if"? If not, start a new line for "if".') # Check for potential format string bugs like printf(foo). # We constrain the pattern not to pick things like DocidForPrintf(foo). # Not perfect but it can catch printf(foo.c_str()) and printf(foo->c_str()) # TODO(sugawarayu): Catch the following case. Need to change the calling # convention of the whole function to process multiple line to handle it. # printf( # boy_this_is_a_really_long_variable_that_cannot_fit_on_the_prev_line); printf_args = _GetTextInside(line, r'(?i)\b(string)?printf\s\(') if printf_args: match = Match(r'([\w.\->()]+)$', printf_args) if match and match.group(1) != '__VA_ARGS__': function_name = re.search(r'\b((?:string)?printf)\s\(', line, re.I).group(1) error(filename, linenum, 'runtime/printf', 4, 'Potential format string bug. Do %s("%%s", %s) instead.' % (function_name, match.group(1))) # Check for potential memset bugs like memset(buf, sizeof(buf), 0). match = Search(r'memset\s\(([^,]),\s([^,]),\s0\s\)', line) if match and not Match(r"^''\|-?[0-9]+\|0x[0-9A-Fa-f]$", match.group(2)): error(filename, linenum, 'runtime/memset', 4, 'Did you mean "memset(%s, 0, %s)"?' % (match.group(1), match.group(2))) if Search(r'\busing namespace\b', line): error(filename, linenum, 'build/namespaces', 5, 'Do not use namespace using-directives. ' 'Use using-declarations instead.') # Detect variable-length arrays. match = Match(r'\s(.+::)?(\w+) [a-z]\w\[(.+)];', line) if (match and match.group(2) != 'return' and match.group(2) != 'delete' and match.group(3).find(']') == -1): # Split the size using space and arithmetic operators as delimiters. # If any of the resulting tokens are not compile time constants then # report the error. tokens = re.split(r'\s\|\+\|\-\|\\|\/\|<<\|>>]', match.group(3)) is_const = True skip_next = False for tok in tokens: if skip_next: skip_next = False continue if Search(r'sizeof\(.+\)', tok): continue if Search(r'arraysize\(\w+\)', tok): continue tok = tok.lstrip('(') tok = tok.rstrip(')') if not tok: continue if Match(r'\d+', tok): continue if Match(r'0[xX][0-9a-fA-F]+', tok): continue if Match(r'k[A-Z0-9]\w', tok): continue if Match(r'(.+::)?k[A-Z0-9]\w', tok): continue if Match(r'(.+::)?[A-Z][A-Z0-9_]', tok): continue # A catch all for tricky sizeof cases, including 'sizeof expression', # 'sizeof(type)', 'sizeof(const type)', 'sizeof(struct StructName)' # requires skipping the next token because we split on ' ' and ''. if tok.startswith('sizeof'): skip_next = True continue is_const = False break if not is_const: error(filename, linenum, 'runtime/arrays', 1, 'Do not use variable-length arrays. Use an appropriately named ' "('k' followed by CamelCase) compile-time constant for the size.") # If DISALLOW_EVIL_CONSTRUCTORS, DISALLOW_COPY_AND_ASSIGN, or # DISALLOW_IMPLICIT_CONSTRUCTORS is present, then it should be the last thing # in the class declaration. match = Match( (r'\s' r'(DISALLOW_(EVIL_CONSTRUCTORS\|COPY_AND_ASSIGN\|IMPLICIT_CONSTRUCTORS))' r'\(.\);$'), line) if match and linenum + 1 < clean_lines.NumLines(): next_line = clean_lines.elided[linenum + 1] # We allow some, but not all, declarations of variables to be present # in the statement that defines the class. The [\w\,\s] fragment of # the regular expression below allows users to declare instances of # the class or pointers to instances, but not less common types such # as function pointers or arrays. It's a tradeoff between allowing # reasonable code and avoiding trying to parse more C++ using regexps. if not Search(r'^\s}[\w\,\s];', next_line): error(filename, linenum, 'readability/constructors', 3, match.group(1) + ' should be the last thing in the class') # Check for use of unnamed namespaces in header files. Registration # macros are typically OK, so we allow use of "namespace {" on lines # that end with backslashes. if (file_extension == 'h' and Search(r'\bnamespace\s{', line) and line[-1] != '\\'): error(filename, linenum, 'build/namespaces', 4, 'Do not use unnamed namespaces in header files. See ' 'http://google-styleguide.googlecode.com/svn/trunk/cppguide.xml#Namespaces' ' for more information.')	[ "def", "CheckLanguage", "(", "filename", ",", "clean_lines", ",", "linenum", ",", "file_extension", ",", "include_state", ",", "nesting_state", ",", "error", ")", ":", "# If the line is empty or consists of entirely a comment, no need to", "# check it.", "line", "=", "clean_lines", ".", "elided", "[", "linenum", "]", "if", "not", "line", ":", "return", "match", "=", "_RE_PATTERN_INCLUDE", ".", "search", "(", "line", ")", "if", "match", ":", "CheckIncludeLine", "(", "filename", ",", "clean_lines", ",", "linenum", ",", "include_state", ",", "error", ")", "return", "# Reset include state across preprocessor directives. This is meant", "# to silence warnings for conditional includes.", "if", "Match", "(", "r'^\\s#\\s(?:ifdef\|elif\|else\|endif)\\b'", ",", "line", ")", ":", "include_state", ".", "ResetSection", "(", ")", "# Make Windows paths like Unix.", "fullname", "=", "os", ".", "path", ".", "abspath", "(", "filename", ")", ".", "replace", "(", "'\\\\'", ",", "'/'", ")", "# TODO(unknown): figure out if they're using default arguments in fn proto.", "# Check to see if they're using an conversion function cast.", "# I just try to capture the most common basic types, though there are more.", "# Parameterless conversion functions, such as bool(), are allowed as they are", "# probably a member operator declaration or default constructor.", "match", "=", "Search", "(", "r'(\\bnew\\s+)?\\b'", "# Grab 'new' operator, if it's there", "r'(int\|float\|double\|bool\|char\|int32\|uint32\|int64\|uint64)'", "r'(\\([^)].)'", ",", "line", ")", "if", "match", ":", "matched_new", "=", "match", ".", "group", "(", "1", ")", "matched_type", "=", "match", ".", "group", "(", "2", ")", "matched_funcptr", "=", "match", ".", "group", "(", "3", ")", "# gMock methods are defined using some variant of MOCK_METHODx(name, type)", "# where type may be float(), int(string), etc. Without context they are", "# virtually indistinguishable from int(x) casts. Likewise, gMock's", "# MockCallback takes a template parameter of the form return_type(arg_type),", "# which looks much like the cast we're trying to detect.", "#", "# std::function<> wrapper has a similar problem.", "#", "# Return types for function pointers also look like casts if they", "# don't have an extra space.", "if", "(", "matched_new", "is", "None", "and", "# If new operator, then this isn't a cast", "not", "(", "Match", "(", "r'^\\sMOCK_(CONST_)?METHOD\\d+(_T)?\\('", ",", "line", ")", "or", "Search", "(", "r'\\bMockCallback<.>'", ",", "line", ")", "or", "Search", "(", "r'\\bstd::function<.>'", ",", "line", ")", ")", "and", "not", "(", "matched_funcptr", "and", "Match", "(", "r'\\((?:[^() ]+::\\s\\\\s)?[^() ]+\\)\\s\\('", ",", "matched_funcptr", ")", ")", ")", ":", "# Try a bit harder to catch gmock lines: the only place where", "# something looks like an old-style cast is where we declare the", "# return type of the mocked method, and the only time when we", "# are missing context is if MOCK_METHOD was split across", "# multiple lines. The missing MOCK_METHOD is usually one or two", "# lines back, so scan back one or two lines.", "#", "# It's not possible for gmock macros to appear in the first 2", "# lines, since the class head + section name takes up 2 lines.", "if", "(", "linenum", "<", "2", "or", "not", "(", "Match", "(", "r'^\\sMOCK_(?:CONST_)?METHOD\\d+(?:_T)?\\((?:\\S+,)?\\s$'", ",", "clean_lines", ".", "elided", "[", "linenum", "-", "1", "]", ")", "or", "Match", "(", "r'^\\sMOCK_(?:CONST_)?METHOD\\d+(?:_T)?\\(\\s$'", ",", "clean_lines", ".", "elided", "[", "linenum", "-", "2", "]", ")", ")", ")", ":", "error", "(", "filename", ",", "linenum", ",", "'readability/casting'", ",", "4", ",", "'Using deprecated casting style. '", "'Use static_cast<%s>(...) instead'", "%", "matched_type", ")", "CheckCStyleCast", "(", "filename", ",", "linenum", ",", "line", ",", "clean_lines", ".", "raw_lines", "[", "linenum", "]", ",", "'static_cast'", ",", "r'\\((int\|float\|double\|bool\|char\|u?int(16\|32\|64))\\)'", ",", "error", ")", "# This doesn't catch all cases. Consider (const char * const)\"hello\".", "#", "# (char ) \"foo\" should always be a const_cast (reinterpret_cast won't", "# compile).", "if", "CheckCStyleCast", "(", "filename", ",", "linenum", ",", "line", ",", "clean_lines", ".", "raw_lines", "[", "linenum", "]", ",", "'const_cast'", ",", "r'\\((char\\s?\\+\\s?)\\)\\s\"'", ",", "error", ")", ":", "pass", "else", ":", "# Check pointer casts for other than string constants", "CheckCStyleCast", "(", "filename", ",", "linenum", ",", "line", ",", "clean_lines", ".", "raw_lines", "[", "linenum", "]", ",", "'reinterpret_cast'", ",", "r'\\((\\w+\\s?\\+\\s?)\\)'", ",", "error", ")", "# In addition, we look for people taking the address of a cast. This", "# is dangerous -- casts can assign to temporaries, so the pointer doesn't", "# point where you think.", "match", "=", "Search", "(", "r'(?:&\\(([^)]+)\\)[\\w(])\|'", "r'(?:&(static\|dynamic\|down\|reinterpret)_cast\\b)'", ",", "line", ")", "if", "match", "and", "match", ".", "group", "(", "1", ")", "!=", "''", ":", "error", "(", "filename", ",", "linenum", ",", "'runtime/casting'", ",", "4", ",", "(", "'Are you taking an address of a cast? '", "'This is dangerous: could be a temp var. '", "'Take the address before doing the cast, rather than after'", ")", ")", "# Create an extended_line, which is the concatenation of the current and", "# next lines, for more effective checking of code that may span more than one", "# line.", "if", "linenum", "+", "1", "<", "clean_lines", ".", "NumLines", "(", ")", ":", "extended_line", "=", "line", "+", "clean_lines", ".", "elided", "[", "linenum", "+", "1", "]", "else", ":", "extended_line", "=", "line", "# Check for people declaring static/global STL strings at the top level.", "# This is dangerous because the C++ language does not guarantee that", "# globals with constructors are initialized before the first access.", "match", "=", "Match", "(", "r'((?:\|static +)(?:\|const +))string +([a-zA-Z0-9_:]+)\\b(.)'", ",", "line", ")", "# Make sure it's not a function.", "# Function template specialization looks like: \"string foo<Type>(...\".", "# Class template definitions look like: \"string Foo<Type>::Method(...\".", "#", "# Also ignore things that look like operators. These are matched separately", "# because operator names cross non-word boundaries. If we change the pattern", "# above, we would decrease the accuracy of matching identifiers.", "if", "(", "match", "and", "not", "Search", "(", "r'\\boperator\\W'", ",", "line", ")", "and", "not", "Match", "(", "r'\\s(<.>)?(::[a-zA-Z0-9_]+)?\\s\\(([^\"]\|$)'", ",", "match", ".", "group", "(", "3", ")", ")", ")", ":", "error", "(", "filename", ",", "linenum", ",", "'runtime/string'", ",", "4", ",", "'For a static/global string constant, use a C style string instead: '", "'\"%schar %s[]\".'", "%", "(", "match", ".", "group", "(", "1", ")", ",", "match", ".", "group", "(", "2", ")", ")", ")", "if", "Search", "(", "r'\\b([A-Za-z0-9_]_)\\(\\1\\)'", ",", "line", ")", ":", "error", "(", "filename", ",", "linenum", ",", "'runtime/init'", ",", "4", ",", "'You seem to be initializing a member variable with itself.'", ")", "if", "file_extension", "==", "'h'", ":", "# TODO(unknown): check that 1-arg constructors are explicit.", "# How to tell it's a constructor?", "# (handled in CheckForNonStandardConstructs for now)", "# TODO(unknown): check that classes have DISALLOW_EVIL_CONSTRUCTORS", "# (level 1 error)", "pass", "# Check if people are using the verboten C basic types. The only exception", "# we regularly allow is \"unsigned short port\" for port.", "if", "Search", "(", "r'\\bshort port\\b'", ",", "line", ")", ":", "if", "not", "Search", "(", "r'\\bunsigned short port\\b'", ",", "line", ")", ":", "error", "(", "filename", ",", "linenum", ",", "'runtime/int'", ",", "4", ",", "'Use \"unsigned short\" for ports, not \"short\"'", ")", "else", ":", "match", "=", "Search", "(", "r'\\b(short\|long(?! +double)\|long long)\\b'", ",", "line", ")", "if", "match", ":", "error", "(", "filename", ",", "linenum", ",", "'runtime/int'", ",", "4", ",", "'Use int16/int64/etc, rather than the C type %s'", "%", "match", ".", "group", "(", "1", ")", ")", "# When snprintf is used, the second argument shouldn't be a literal.", "match", "=", "Search", "(", "r'snprintf\\s\\(([^,]),\\s([0-9])\\s,'", ",", "line", ")", "if", "match", "and", "match", ".", "group", "(", "2", ")", "!=", "'0'", ":", "# If 2nd arg is zero, snprintf is used to calculate size.", "error", "(", "filename", ",", "linenum", ",", "'runtime/printf'", ",", "3", ",", "'If you can, use sizeof(%s) instead of %s as the 2nd arg '", "'to snprintf.'", "%", "(", "match", ".", "group", "(", "1", ")", ",", "match", ".", "group", "(", "2", ")", ")", ")", "# Check if some verboten C functions are being used.", "if", "Search", "(", "r'\\bsprintf\\b'", ",", "line", ")", ":", "error", "(", "filename", ",", "linenum", ",", "'runtime/printf'", ",", "5", ",", "'Never use sprintf. Use snprintf instead.'", ")", "match", "=", "Search", "(", "r'\\b(strcpy\|strcat)\\b'", ",", "line", ")", "if", "match", ":", "error", "(", "filename", ",", "linenum", ",", "'runtime/printf'", ",", "4", ",", "'Almost always, snprintf is better than %s'", "%", "match", ".", "group", "(", "1", ")", ")", "# Check if some verboten operator overloading is going on", "# TODO(unknown): catch out-of-line unary operator&:", "# class X {};", "# int operator&(const X& x) { return 42; } // unary operator&", "# The trick is it's hard to tell apart from binary operator&:", "# class Y { int operator&(const Y& x) { return 23; } }; // binary operator&", "if", "Search", "(", "r'\\boperator\\s&\\s\\(\\s\\)'", ",", "line", ")", ":", "error", "(", "filename", ",", "linenum", ",", "'runtime/operator'", ",", "4", ",", "'Unary operator& is dangerous. Do not use it.'", ")", "# Check for suspicious usage of \"if\" like", "# } if (a == b) {", "if", "Search", "(", "r'\\}\\sif\\s\\('", ",", "line", ")", ":", "error", "(", "filename", ",", "linenum", ",", "'readability/braces'", ",", "4", ",", "'Did you mean \"else if\"? If not, start a new line for \"if\".'", ")", "# Check for potential format string bugs like printf(foo).", "# We constrain the pattern not to pick things like DocidForPrintf(foo).", "# Not perfect but it can catch printf(foo.c_str()) and printf(foo->c_str())", "# TODO(sugawarayu): Catch the following case. Need to change the calling", "# convention of the whole function to process multiple line to handle it.", "# printf(", "# boy_this_is_a_really_long_variable_that_cannot_fit_on_the_prev_line);", "printf_args", "=", "_GetTextInside", "(", "line", ",", "r'(?i)\\b(string)?printf\\s\\('", ")", "if", "printf_args", ":", "match", "=", "Match", "(", "r'([\\w.\\->()]+)$'", ",", "printf_args", ")", "if", "match", "and", "match", ".", "group", "(", "1", ")", "!=", "'__VA_ARGS__'", ":", "function_name", "=", "re", ".", "search", "(", "r'\\b((?:string)?printf)\\s\\('", ",", "line", ",", "re", ".", "I", ")", ".", "group", "(", "1", ")", "error", "(", "filename", ",", "linenum", ",", "'runtime/printf'", ",", "4", ",", "'Potential format string bug. Do %s(\"%%s\", %s) instead.'", "%", "(", "function_name", ",", "match", ".", "group", "(", "1", ")", ")", ")", "# Check for potential memset bugs like memset(buf, sizeof(buf), 0).", "match", "=", "Search", "(", "r'memset\\s\\(([^,]),\\s([^,]),\\s0\\s\\)'", ",", "line", ")", "if", "match", "and", "not", "Match", "(", "r\"^''\|-?[0-9]+\|0x[0-9A-Fa-f]$\"", ",", "match", ".", "group", "(", "2", ")", ")", ":", "error", "(", "filename", ",", "linenum", ",", "'runtime/memset'", ",", "4", ",", "'Did you mean \"memset(%s, 0, %s)\"?'", "%", "(", "match", ".", "group", "(", "1", ")", ",", "match", ".", "group", "(", "2", ")", ")", ")", "if", "Search", "(", "r'\\busing namespace\\b'", ",", "line", ")", ":", "error", "(", "filename", ",", "linenum", ",", "'build/namespaces'", ",", "5", ",", "'Do not use namespace using-directives. '", "'Use using-declarations instead.'", ")", "# Detect variable-length arrays.", "match", "=", "Match", "(", "r'\\s(.+::)?(\\w+) [a-z]\\w\\[(.+)];'", ",", "line", ")", "if", "(", "match", "and", "match", ".", "group", "(", "2", ")", "!=", "'return'", "and", "match", ".", "group", "(", "2", ")", "!=", "'delete'", "and", "match", ".", "group", "(", "3", ")", ".", "find", "(", "']'", ")", "==", "-", "1", ")", ":", "# Split the size using space and arithmetic operators as delimiters.", "# If any of the resulting tokens are not compile time constants then", "# report the error.", "tokens", "=", "re", ".", "split", "(", "r'\\s\|\\+\|\\-\|\\\|\\/\|<<\|>>]'", ",", "match", ".", "group", "(", "3", ")", ")", "is_const", "=", "True", "skip_next", "=", "False", "for", "tok", "in", "tokens", ":", "if", "skip_next", ":", "skip_next", "=", "False", "continue", "if", "Search", "(", "r'sizeof\\(.+\\)'", ",", "tok", ")", ":", "continue", "if", "Search", "(", "r'arraysize\\(\\w+\\)'", ",", "tok", ")", ":", "continue", "tok", "=", "tok", ".", "lstrip", "(", "'('", ")", "tok", "=", "tok", ".", "rstrip", "(", "')'", ")", "if", "not", "tok", ":", "continue", "if", "Match", "(", "r'\\d+'", ",", "tok", ")", ":", "continue", "if", "Match", "(", "r'0[xX][0-9a-fA-F]+'", ",", "tok", ")", ":", "continue", "if", "Match", "(", "r'k[A-Z0-9]\\w'", ",", "tok", ")", ":", "continue", "if", "Match", "(", "r'(.+::)?k[A-Z0-9]\\w'", ",", "tok", ")", ":", "continue", "if", "Match", "(", "r'(.+::)?[A-Z][A-Z0-9_]'", ",", "tok", ")", ":", "continue", "# A catch all for tricky sizeof cases, including 'sizeof expression',", "# 'sizeof(type)', 'sizeof(const type)', 'sizeof(struct StructName)'", "# requires skipping the next token because we split on ' ' and ''.", "if", "tok", ".", "startswith", "(", "'sizeof'", ")", ":", "skip_next", "=", "True", "continue", "is_const", "=", "False", "break", "if", "not", "is_const", ":", "error", "(", "filename", ",", "linenum", ",", "'runtime/arrays'", ",", "1", ",", "'Do not use variable-length arrays. Use an appropriately named '", "\"('k' followed by CamelCase) compile-time constant for the size.\"", ")", "# If DISALLOW_EVIL_CONSTRUCTORS, DISALLOW_COPY_AND_ASSIGN, or", "# DISALLOW_IMPLICIT_CONSTRUCTORS is present, then it should be the last thing", "# in the class declaration.", "match", "=", "Match", "(", "(", "r'\\s'", "r'(DISALLOW_(EVIL_CONSTRUCTORS\|COPY_AND_ASSIGN\|IMPLICIT_CONSTRUCTORS))'", "r'\\(.\\);$'", ")", ",", "line", ")", "if", "match", "and", "linenum", "+", "1", "<", "clean_lines", ".", "NumLines", "(", ")", ":", "next_line", "=", "clean_lines", ".", "elided", "[", "linenum", "+", "1", "]", "# We allow some, but not all, declarations of variables to be present", "# in the statement that defines the class. The [\\w\\,\\s] fragment of", "# the regular expression below allows users to declare instances of", "# the class or pointers to instances, but not less common types such", "# as function pointers or arrays. It's a tradeoff between allowing", "# reasonable code and avoiding trying to parse more C++ using regexps.", "if", "not", "Search", "(", "r'^\\s}[\\w\\,\\s];'", ",", "next_line", ")", ":", "error", "(", "filename", ",", "linenum", ",", "'readability/constructors'", ",", "3", ",", "match", ".", "group", "(", "1", ")", "+", "' should be the last thing in the class'", ")", "# Check for use of unnamed namespaces in header files. Registration", "# macros are typically OK, so we allow use of \"namespace {\" on lines", "# that end with backslashes.", "if", "(", "file_extension", "==", "'h'", "and", "Search", "(", "r'\\bnamespace\\s{'", ",", "line", ")", "and", "line", "[", "-", "1", "]", "!=", "'\\\\'", ")", ":", "error", "(", "filename", ",", "linenum", ",", "'build/namespaces'", ",", "4", ",", "'Do not use unnamed namespaces in header files. See '", "'http://google-styleguide.googlecode.com/svn/trunk/cppguide.xml#Namespaces'", "' for more information.'", ")" ]	https://github.com/twtygqyy/caffe-augmentation/blob/c76600d247e5132fa5bd89d87bb5df458341fa84/scripts/cpp_lint.py#L3838-L4136
rrwick/Unicycler	96ffea71e3a78d63ade19d6124946773e65cf129	unicycler/misc.py	python	MyHelpFormatter._split_lines	(self, text, width)		Override this method to add special behaviour for help texts that start with: 'B\|' - loop text to the column of the equals sign 'R\|' - loop text one option per line	Override this method to add special behaviour for help texts that start with: 'B\|' - loop text to the column of the equals sign 'R\|' - loop text one option per line	[ "Override", "this", "method", "to", "add", "special", "behaviour", "for", "help", "texts", "that", "start", "with", ":", "B\|", "-", "loop", "text", "to", "the", "column", "of", "the", "equals", "sign", "R\|", "-", "loop", "text", "one", "option", "per", "line" ]	def _split_lines(self, text, width): """ Override this method to add special behaviour for help texts that start with: 'B\|' - loop text to the column of the equals sign 'R\|' - loop text one option per line """ if text.startswith('B\|') or text.startswith('R\|'): text_lines = text[2:].splitlines() wrapped_text_lines = [] for line in text_lines: if len(line) <= width: wrapped_text_lines.append(line) else: wrap_column = 2 if text.startswith('B\|'): line_parts = line.split() wrap_column += line.find('=') join = '' current_line = ' ' + line_parts[0] else: # text.startswith('R\|') line_parts = line.split(', ') join = ',' current_line = line_parts[0] for part in line_parts[1:]: if len(current_line) + len(join) + 1 + len(part) <= width: current_line += join + ' ' + part else: wrapped_text_lines.append(current_line + join) current_line = ' ' * wrap_column + part wrapped_text_lines.append(current_line) return wrapped_text_lines else: return argparse.HelpFormatter._split_lines(self, text, width)	[ "def", "_split_lines", "(", "self", ",", "text", ",", "width", ")", ":", "if", "text", ".", "startswith", "(", "'B\|'", ")", "or", "text", ".", "startswith", "(", "'R\|'", ")", ":", "text_lines", "=", "text", "[", "2", ":", "]", ".", "splitlines", "(", ")", "wrapped_text_lines", "=", "[", "]", "for", "line", "in", "text_lines", ":", "if", "len", "(", "line", ")", "<=", "width", ":", "wrapped_text_lines", ".", "append", "(", "line", ")", "else", ":", "wrap_column", "=", "2", "if", "text", ".", "startswith", "(", "'B\|'", ")", ":", "line_parts", "=", "line", ".", "split", "(", ")", "wrap_column", "+=", "line", ".", "find", "(", "'='", ")", "join", "=", "''", "current_line", "=", "' '", "+", "line_parts", "[", "0", "]", "else", ":", "# text.startswith('R\|')", "line_parts", "=", "line", ".", "split", "(", "', '", ")", "join", "=", "','", "current_line", "=", "line_parts", "[", "0", "]", "for", "part", "in", "line_parts", "[", "1", ":", "]", ":", "if", "len", "(", "current_line", ")", "+", "len", "(", "join", ")", "+", "1", "+", "len", "(", "part", ")", "<=", "width", ":", "current_line", "+=", "join", "+", "' '", "+", "part", "else", ":", "wrapped_text_lines", ".", "append", "(", "current_line", "+", "join", ")", "current_line", "=", "' '", "*", "wrap_column", "+", "part", "wrapped_text_lines", ".", "append", "(", "current_line", ")", "return", "wrapped_text_lines", "else", ":", "return", "argparse", ".", "HelpFormatter", ".", "_split_lines", "(", "self", ",", "text", ",", "width", ")" ]	https://github.com/rrwick/Unicycler/blob/96ffea71e3a78d63ade19d6124946773e65cf129/unicycler/misc.py#L454-L486
BSVino/DoubleAction	c550b168a3e919926c198c30240f506538b92e75	mp/src/thirdparty/protobuf-2.3.0/python/google/protobuf/descriptor.py	python	EnumDescriptor.__init__	(self, name, full_name, filename, values, containing_type=None, options=None, file=None, serialized_start=None, serialized_end=None)		Arguments are as described in the attribute description above. Note that filename is an obsolete argument, that is not used anymore. Please use file.name to access this as an attribute.	Arguments are as described in the attribute description above.	[ "Arguments", "are", "as", "described", "in", "the", "attribute", "description", "above", "." ]	def __init__(self, name, full_name, filename, values, containing_type=None, options=None, file=None, serialized_start=None, serialized_end=None): """Arguments are as described in the attribute description above. Note that filename is an obsolete argument, that is not used anymore. Please use file.name to access this as an attribute. """ super(EnumDescriptor, self).__init__( options, 'EnumOptions', name, full_name, file, containing_type, serialized_start=serialized_start, serialized_end=serialized_start) self.values = values for value in self.values: value.type = self self.values_by_name = dict((v.name, v) for v in values) self.values_by_number = dict((v.number, v) for v in values) self._serialized_start = serialized_start self._serialized_end = serialized_end	[ "def", "__init__", "(", "self", ",", "name", ",", "full_name", ",", "filename", ",", "values", ",", "containing_type", "=", "None", ",", "options", "=", "None", ",", "file", "=", "None", ",", "serialized_start", "=", "None", ",", "serialized_end", "=", "None", ")", ":", "super", "(", "EnumDescriptor", ",", "self", ")", ".", "__init__", "(", "options", ",", "'EnumOptions'", ",", "name", ",", "full_name", ",", "file", ",", "containing_type", ",", "serialized_start", "=", "serialized_start", ",", "serialized_end", "=", "serialized_start", ")", "self", ".", "values", "=", "values", "for", "value", "in", "self", ".", "values", ":", "value", ".", "type", "=", "self", "self", ".", "values_by_name", "=", "dict", "(", "(", "v", ".", "name", ",", "v", ")", "for", "v", "in", "values", ")", "self", ".", "values_by_number", "=", "dict", "(", "(", "v", ".", "number", ",", "v", ")", "for", "v", "in", "values", ")", "self", ".", "_serialized_start", "=", "serialized_start", "self", ".", "_serialized_end", "=", "serialized_end" ]	https://github.com/BSVino/DoubleAction/blob/c550b168a3e919926c198c30240f506538b92e75/mp/src/thirdparty/protobuf-2.3.0/python/google/protobuf/descriptor.py#L426-L446
aws/lumberyard	f85344403c1c2e77ec8c75deb2c116e97b713217	dev/Tools/Python/3.7.10/windows/Lib/site-packages/s3transfer/futures.py	python	TransferCoordinator.remove_associated_future	(self, future)		Removes a future's association to the TransferFuture	Removes a future's association to the TransferFuture	[ "Removes", "a", "future", "s", "association", "to", "the", "TransferFuture" ]	def remove_associated_future(self, future): """Removes a future's association to the TransferFuture""" with self._associated_futures_lock: self._associated_futures.remove(future)	[ "def", "remove_associated_future", "(", "self", ",", "future", ")", ":", "with", "self", ".", "_associated_futures_lock", ":", "self", ".", "_associated_futures", ".", "remove", "(", "future", ")" ]	https://github.com/aws/lumberyard/blob/f85344403c1c2e77ec8c75deb2c116e97b713217/dev/Tools/Python/3.7.10/windows/Lib/site-packages/s3transfer/futures.py#L341-L344
BitMEX/api-connectors	37a3a5b806ad5d0e0fc975ab86d9ed43c3bcd812	auto-generated/python/swagger_client/models/chat_channel.py	python	ChatChannel.to_str	(self)	return pprint.pformat(self.to_dict())	Returns the string representation of the model	Returns the string representation of the model	[ "Returns", "the", "string", "representation", "of", "the", "model" ]	def to_str(self): """Returns the string representation of the model""" return pprint.pformat(self.to_dict())	[ "def", "to_str", "(", "self", ")", ":", "return", "pprint", ".", "pformat", "(", "self", ".", "to_dict", "(", ")", ")" ]	https://github.com/BitMEX/api-connectors/blob/37a3a5b806ad5d0e0fc975ab86d9ed43c3bcd812/auto-generated/python/swagger_client/models/chat_channel.py#L125-L127
hakuna-m/wubiuefi	caec1af0a09c78fd5a345180ada1fe45e0c63493	src/sets/sets.py	python	BaseSet.__repr__	(self)	return self._repr()	Return string representation of a set. This looks like 'Set([<list of elements>])'.	Return string representation of a set.	[ "Return", "string", "representation", "of", "a", "set", "." ]	def __repr__(self): """Return string representation of a set. This looks like 'Set([<list of elements>])'. """ return self._repr()	[ "def", "__repr__", "(", "self", ")", ":", "return", "self", ".", "_repr", "(", ")" ]	https://github.com/hakuna-m/wubiuefi/blob/caec1af0a09c78fd5a345180ada1fe45e0c63493/src/sets/sets.py#L103-L108
lagadic/visp	e14e125ccc2d7cf38f3353efa01187ef782fbd0b	modules/java/generator/gen_java.py	python	camelCase	(s)		turns vpHomoMatrix to VpHomoMatrix	turns vpHomoMatrix to VpHomoMatrix	[ "turns", "vpHomoMatrix", "to", "VpHomoMatrix" ]	def camelCase(s): ''' turns vpHomoMatrix to VpHomoMatrix ''' if len(s) > 0: return s[0].upper() + s[1:] else: return s	[ "def", "camelCase", "(", "s", ")", ":", "if", "len", "(", "s", ")", ">", "0", ":", "return", "s", "[", "0", "]", ".", "upper", "(", ")", "+", "s", "[", "1", ":", "]", "else", ":", "return", "s" ]	https://github.com/lagadic/visp/blob/e14e125ccc2d7cf38f3353efa01187ef782fbd0b/modules/java/generator/gen_java.py#L105-L112
mhammond/pywin32	44afd86ba8485194df93234639243252deeb40d5	Pythonwin/pywin/framework/scriptutils.py	python	GetPackageModuleName	(fileName)	return fname, newPathReturn	Given a filename, return (module name, new path). eg - given "c:\a\b\c\my.py", return ("b.c.my",None) if "c:\a" is on sys.path. If no package found, will return ("my", "c:\a\b\c")	Given a filename, return (module name, new path). eg - given "c:\a\b\c\my.py", return ("b.c.my",None) if "c:\a" is on sys.path. If no package found, will return ("my", "c:\a\b\c")	[ "Given", "a", "filename", "return", "(", "module", "name", "new", "path", ")", ".", "eg", "-", "given", "c", ":", "\\", "a", "\\", "b", "\\", "c", "\\", "my", ".", "py", "return", "(", "b", ".", "c", ".", "my", "None", ")", "if", "c", ":", "\\", "a", "is", "on", "sys", ".", "path", ".", "If", "no", "package", "found", "will", "return", "(", "my", "c", ":", "\\", "a", "\\", "b", "\\", "c", ")" ]	def GetPackageModuleName(fileName): """Given a filename, return (module name, new path). eg - given "c:\a\b\c\my.py", return ("b.c.my",None) if "c:\a" is on sys.path. If no package found, will return ("my", "c:\a\b\c") """ path, fname = os.path.split(fileName) path = origPath = win32ui.FullPath(path) fname = os.path.splitext(fname)[0] modBits = [] newPathReturn = None if not IsOnPythonPath(path): # Module not directly on the search path - see if under a package. while len(path) > 3: # ie 'C:\' path, modBit = os.path.split(path) modBits.append(modBit) # If on path, _and_ existing package of that name loaded. if ( IsOnPythonPath(path) and modBit in sys.modules and ( os.path.exists(os.path.join(path, modBit, "__init__.py")) or os.path.exists(os.path.join(path, modBit, "__init__.pyc")) or os.path.exists(os.path.join(path, modBit, "__init__.pyo")) ) ): modBits.reverse() return ".".join(modBits) + "." + fname, newPathReturn # Not found - look a level higher else: newPathReturn = origPath return fname, newPathReturn	[ "def", "GetPackageModuleName", "(", "fileName", ")", ":", "path", ",", "fname", "=", "os", ".", "path", ".", "split", "(", "fileName", ")", "path", "=", "origPath", "=", "win32ui", ".", "FullPath", "(", "path", ")", "fname", "=", "os", ".", "path", ".", "splitext", "(", "fname", ")", "[", "0", "]", "modBits", "=", "[", "]", "newPathReturn", "=", "None", "if", "not", "IsOnPythonPath", "(", "path", ")", ":", "# Module not directly on the search path - see if under a package.", "while", "len", "(", "path", ")", ">", "3", ":", "# ie 'C:\\'", "path", ",", "modBit", "=", "os", ".", "path", ".", "split", "(", "path", ")", "modBits", ".", "append", "(", "modBit", ")", "# If on path, _and_ existing package of that name loaded.", "if", "(", "IsOnPythonPath", "(", "path", ")", "and", "modBit", "in", "sys", ".", "modules", "and", "(", "os", ".", "path", ".", "exists", "(", "os", ".", "path", ".", "join", "(", "path", ",", "modBit", ",", "\"__init__.py\"", ")", ")", "or", "os", ".", "path", ".", "exists", "(", "os", ".", "path", ".", "join", "(", "path", ",", "modBit", ",", "\"__init__.pyc\"", ")", ")", "or", "os", ".", "path", ".", "exists", "(", "os", ".", "path", ".", "join", "(", "path", ",", "modBit", ",", "\"__init__.pyo\"", ")", ")", ")", ")", ":", "modBits", ".", "reverse", "(", ")", "return", "\".\"", ".", "join", "(", "modBits", ")", "+", "\".\"", "+", "fname", ",", "newPathReturn", "# Not found - look a level higher", "else", ":", "newPathReturn", "=", "origPath", "return", "fname", ",", "newPathReturn" ]	https://github.com/mhammond/pywin32/blob/44afd86ba8485194df93234639243252deeb40d5/Pythonwin/pywin/framework/scriptutils.py#L99-L130
dmlc/decord	96b750c7221322391969929e855b942d2fdcd06b	python/decord/bridge/mxnet.py	python	try_import_mxnet	()	return try_import('mxnet', msg)	Try import mxnet at runtime. Returns ------- mxnet module if found. Raise ImportError otherwise	Try import mxnet at runtime.	[ "Try", "import", "mxnet", "at", "runtime", "." ]	def try_import_mxnet(): """Try import mxnet at runtime. Returns ------- mxnet module if found. Raise ImportError otherwise """ msg = "mxnet is required, you can install by pip.\n \ CPU: `pip install mxnet-mkl`, GPU: `pip install mxnet-cu100mkl`" return try_import('mxnet', msg)	[ "def", "try_import_mxnet", "(", ")", ":", "msg", "=", "\"mxnet is required, you can install by pip.\\n \\\n CPU: `pip install mxnet-mkl`, GPU: `pip install mxnet-cu100mkl`\"", "return", "try_import", "(", "'mxnet'", ",", "msg", ")" ]	https://github.com/dmlc/decord/blob/96b750c7221322391969929e855b942d2fdcd06b/python/decord/bridge/mxnet.py#L7-L16
wxWidgets/wxPython-Classic	19571e1ae65f1ac445f5491474121998c97a1bf0	src/osx_carbon/_core.py	python	SettableHeaderColumn.SetSortOrder	(args, *kwargs)	return _core_.SettableHeaderColumn_SetSortOrder(args, *kwargs)	SetSortOrder(self, bool ascending)	SetSortOrder(self, bool ascending)	[ "SetSortOrder", "(", "self", "bool", "ascending", ")" ]	def SetSortOrder(args, kwargs): """SetSortOrder(self, bool ascending)""" return _core_.SettableHeaderColumn_SetSortOrder(args, **kwargs)	[ "def", "SetSortOrder", "(", "", "args", ",", "", "", "kwargs", ")", ":", "return", "_core_", ".", "SettableHeaderColumn_SetSortOrder", "(", "", "args", ",", "", "", "kwargs", ")" ]	https://github.com/wxWidgets/wxPython-Classic/blob/19571e1ae65f1ac445f5491474121998c97a1bf0/src/osx_carbon/_core.py#L16520-L16522
windystrife/UnrealEngine_NVIDIAGameWorks	b50e6338a7c5b26374d66306ebc7807541ff815e	Engine/Extras/ThirdPartyNotUE/emsdk/Win64/python/2.7.5.3_64bit/Lib/lib-tk/Tkinter.py	python	Misc.image_names	(self)	return self.tk.call('image', 'names')	Return a list of all existing image names.	Return a list of all existing image names.	[ "Return", "a", "list", "of", "all", "existing", "image", "names", "." ]	def image_names(self): """Return a list of all existing image names.""" return self.tk.call('image', 'names')	[ "def", "image_names", "(", "self", ")", ":", "return", "self", ".", "tk", ".", "call", "(", "'image'", ",", "'names'", ")" ]	https://github.com/windystrife/UnrealEngine_NVIDIAGameWorks/blob/b50e6338a7c5b26374d66306ebc7807541ff815e/Engine/Extras/ThirdPartyNotUE/emsdk/Win64/python/2.7.5.3_64bit/Lib/lib-tk/Tkinter.py#L1448-L1450
y123456yz/reading-and-annotate-mongodb-3.6	93280293672ca7586dc24af18132aa61e4ed7fcf	mongo/buildscripts/idl/idl/generator.py	python	_get_has_field_member_name	(field)	return '_has%s' % (common.title_case(field.cpp_name))	Get the C++ class member name for bool 'has' member field.	Get the C++ class member name for bool 'has' member field.	[ "Get", "the", "C", "++", "class", "member", "name", "for", "bool", "has", "member", "field", "." ]	def _get_has_field_member_name(field): # type: (ast.Field) -> unicode """Get the C++ class member name for bool 'has' member field.""" return '_has%s' % (common.title_case(field.cpp_name))	[ "def", "_get_has_field_member_name", "(", "field", ")", ":", "# type: (ast.Field) -> unicode", "return", "'_has%s'", "%", "(", "common", ".", "title_case", "(", "field", ".", "cpp_name", ")", ")" ]	https://github.com/y123456yz/reading-and-annotate-mongodb-3.6/blob/93280293672ca7586dc24af18132aa61e4ed7fcf/mongo/buildscripts/idl/idl/generator.py#L49-L52
google/mozc	7329757e1ad30e327c1ae823a8302c79482d6b9c	src/build_tools/protoc_wrapper.py	python	main	()		The main function.	The main function.	[ "The", "main", "function", "." ]	def main(): """The main function.""" opts = ParseOption() # Convert to absolute paths before changing the current directory. project_root = os.path.abspath(opts.project_root) proto_path = os.path.abspath(opts.proto_path) if opts.proto_path else '' cpp_out = os.path.abspath(opts.cpp_out) if opts.cpp_out else '' protoc_path = opts.protoc_command if opts.protoc_dir: protoc_path = os.path.join(os.path.abspath(opts.protoc_dir), protoc_path) # The path of proto file should be transformed as a relative path from # the project root so that correct relative paths should be embedded into # generated files. proto_files = [os.path.relpath(os.path.abspath(p), project_root) for p in opts.proto.split(' ')] # Move to the project root. os.chdir(project_root) commands = [protoc_path] + proto_files if cpp_out: commands += ['--cpp_out=' + cpp_out] if proto_path: rel_proto_path = os.path.relpath(proto_path, project_root) commands += ['--proto_path=' + rel_proto_path] for proto_file in proto_files: CreateProtoH(cpp_out, proto_file) sys.exit(subprocess.call(commands))	[ "def", "main", "(", ")", ":", "opts", "=", "ParseOption", "(", ")", "# Convert to absolute paths before changing the current directory.", "project_root", "=", "os", ".", "path", ".", "abspath", "(", "opts", ".", "project_root", ")", "proto_path", "=", "os", ".", "path", ".", "abspath", "(", "opts", ".", "proto_path", ")", "if", "opts", ".", "proto_path", "else", "''", "cpp_out", "=", "os", ".", "path", ".", "abspath", "(", "opts", ".", "cpp_out", ")", "if", "opts", ".", "cpp_out", "else", "''", "protoc_path", "=", "opts", ".", "protoc_command", "if", "opts", ".", "protoc_dir", ":", "protoc_path", "=", "os", ".", "path", ".", "join", "(", "os", ".", "path", ".", "abspath", "(", "opts", ".", "protoc_dir", ")", ",", "protoc_path", ")", "# The path of proto file should be transformed as a relative path from", "# the project root so that correct relative paths should be embedded into", "# generated files.", "proto_files", "=", "[", "os", ".", "path", ".", "relpath", "(", "os", ".", "path", ".", "abspath", "(", "p", ")", ",", "project_root", ")", "for", "p", "in", "opts", ".", "proto", ".", "split", "(", "' '", ")", "]", "# Move to the project root.", "os", ".", "chdir", "(", "project_root", ")", "commands", "=", "[", "protoc_path", "]", "+", "proto_files", "if", "cpp_out", ":", "commands", "+=", "[", "'--cpp_out='", "+", "cpp_out", "]", "if", "proto_path", ":", "rel_proto_path", "=", "os", ".", "path", ".", "relpath", "(", "proto_path", ",", "project_root", ")", "commands", "+=", "[", "'--proto_path='", "+", "rel_proto_path", "]", "for", "proto_file", "in", "proto_files", ":", "CreateProtoH", "(", "cpp_out", ",", "proto_file", ")", "sys", ".", "exit", "(", "subprocess", ".", "call", "(", "commands", ")", ")" ]	https://github.com/google/mozc/blob/7329757e1ad30e327c1ae823a8302c79482d6b9c/src/build_tools/protoc_wrapper.py#L77-L109
aws/lumberyard	f85344403c1c2e77ec8c75deb2c116e97b713217	dev/Tools/Python/3.7.10/linux_x64/lib/python3.7/lib2to3/fixes/fix_metaclass.py	python	fixup_parse_tree	(cls_node)		one-line classes don't get a suite in the parse tree so we add one to normalize the tree	one-line classes don't get a suite in the parse tree so we add one to normalize the tree	[ "one", "-", "line", "classes", "don", "t", "get", "a", "suite", "in", "the", "parse", "tree", "so", "we", "add", "one", "to", "normalize", "the", "tree" ]	def fixup_parse_tree(cls_node): """ one-line classes don't get a suite in the parse tree so we add one to normalize the tree """ for node in cls_node.children: if node.type == syms.suite: # already in the preferred format, do nothing return # !%@#! oneliners have no suite node, we have to fake one up for i, node in enumerate(cls_node.children): if node.type == token.COLON: break else: raise ValueError("No class suite and no ':'!") # move everything into a suite node suite = Node(syms.suite, []) while cls_node.children[i+1:]: move_node = cls_node.children[i+1] suite.append_child(move_node.clone()) move_node.remove() cls_node.append_child(suite) node = suite	[ "def", "fixup_parse_tree", "(", "cls_node", ")", ":", "for", "node", "in", "cls_node", ".", "children", ":", "if", "node", ".", "type", "==", "syms", ".", "suite", ":", "# already in the preferred format, do nothing", "return", "# !%@#! oneliners have no suite node, we have to fake one up", "for", "i", ",", "node", "in", "enumerate", "(", "cls_node", ".", "children", ")", ":", "if", "node", ".", "type", "==", "token", ".", "COLON", ":", "break", "else", ":", "raise", "ValueError", "(", "\"No class suite and no ':'!\"", ")", "# move everything into a suite node", "suite", "=", "Node", "(", "syms", ".", "suite", ",", "[", "]", ")", "while", "cls_node", ".", "children", "[", "i", "+", "1", ":", "]", ":", "move_node", "=", "cls_node", ".", "children", "[", "i", "+", "1", "]", "suite", ".", "append_child", "(", "move_node", ".", "clone", "(", ")", ")", "move_node", ".", "remove", "(", ")", "cls_node", ".", "append_child", "(", "suite", ")", "node", "=", "suite" ]	https://github.com/aws/lumberyard/blob/f85344403c1c2e77ec8c75deb2c116e97b713217/dev/Tools/Python/3.7.10/linux_x64/lib/python3.7/lib2to3/fixes/fix_metaclass.py#L45-L68
wlanjie/AndroidFFmpeg	7baf9122f4b8e1c74e7baf4be5c422c7a5ba5aaf	tools/fdk-aac-build/armeabi/toolchain/lib/python2.7/email/_parseaddr.py	python	AddrlistClass.getphraselist	(self)	return plist	Parse a sequence of RFC 2822 phrases. A phrase is a sequence of words, which are in turn either RFC 2822 atoms or quoted-strings. Phrases are canonicalized by squeezing all runs of continuous whitespace into one space.	Parse a sequence of RFC 2822 phrases.	[ "Parse", "a", "sequence", "of", "RFC", "2822", "phrases", "." ]	def getphraselist(self): """Parse a sequence of RFC 2822 phrases. A phrase is a sequence of words, which are in turn either RFC 2822 atoms or quoted-strings. Phrases are canonicalized by squeezing all runs of continuous whitespace into one space. """ plist = [] while self.pos < len(self.field): if self.field[self.pos] in self.FWS: self.pos += 1 elif self.field[self.pos] == '"': plist.append(self.getquote()) elif self.field[self.pos] == '(': self.commentlist.append(self.getcomment()) elif self.field[self.pos] in self.phraseends: break else: plist.append(self.getatom(self.phraseends)) return plist	[ "def", "getphraselist", "(", "self", ")", ":", "plist", "=", "[", "]", "while", "self", ".", "pos", "<", "len", "(", "self", ".", "field", ")", ":", "if", "self", ".", "field", "[", "self", ".", "pos", "]", "in", "self", ".", "FWS", ":", "self", ".", "pos", "+=", "1", "elif", "self", ".", "field", "[", "self", ".", "pos", "]", "==", "'\"'", ":", "plist", ".", "append", "(", "self", ".", "getquote", "(", ")", ")", "elif", "self", ".", "field", "[", "self", ".", "pos", "]", "==", "'('", ":", "self", ".", "commentlist", ".", "append", "(", "self", ".", "getcomment", "(", ")", ")", "elif", "self", ".", "field", "[", "self", ".", "pos", "]", "in", "self", ".", "phraseends", ":", "break", "else", ":", "plist", ".", "append", "(", "self", ".", "getatom", "(", "self", ".", "phraseends", ")", ")", "return", "plist" ]	https://github.com/wlanjie/AndroidFFmpeg/blob/7baf9122f4b8e1c74e7baf4be5c422c7a5ba5aaf/tools/fdk-aac-build/armeabi/toolchain/lib/python2.7/email/_parseaddr.py#L429-L450
microsoft/TSS.MSR	0f2516fca2cd9929c31d5450e39301c9bde43688	TSS.Py/src/TpmTypes.py	python	TPML_ECC_CURVE.toTpm	(self, buf)		TpmMarshaller method	TpmMarshaller method	[ "TpmMarshaller", "method" ]	def toTpm(self, buf): """ TpmMarshaller method """ buf.writeValArr(self.eccCurves, 2)	[ "def", "toTpm", "(", "self", ",", "buf", ")", ":", "buf", ".", "writeValArr", "(", "self", ".", "eccCurves", ",", "2", ")" ]	https://github.com/microsoft/TSS.MSR/blob/0f2516fca2cd9929c31d5450e39301c9bde43688/TSS.Py/src/TpmTypes.py#L4824-L4826
ApolloAuto/apollo-platform	86d9dc6743b496ead18d597748ebabd34a513289	ros/ros_comm/rospy/src/rospy/impl/tcpros_base.py	python	TCPROSTransport.fileno	(self)	return self._fileno	Get descriptor for select	Get descriptor for select	[ "Get", "descriptor", "for", "select" ]	def fileno(self): """ Get descriptor for select """ return self._fileno	[ "def", "fileno", "(", "self", ")", ":", "return", "self", ".", "_fileno" ]	https://github.com/ApolloAuto/apollo-platform/blob/86d9dc6743b496ead18d597748ebabd34a513289/ros/ros_comm/rospy/src/rospy/impl/tcpros_base.py#L482-L486
mindspore-ai/mindspore	fb8fd3338605bb34fa5cea054e535a8b1d753fab	mindspore/python/mindspore/ops/composite/multitype_ops/setitem_impl.py	python	_tensor_setitem_by_slice_with_list	(data, input_slice, value)	return compile_utils.tensor_setitem_by_slice_with_sequence(data, input_slice, value)	Tensor assignment. Note: Syntax support: A[Slice] = u Restraint condition: A is a Tensor. Slice like "1:3" u is a list Inputs: data (Tensor): Assigned tensor. input_slice (Slice): slice expression. value (List): Assignment value. Outputs: Tensor, element type and shape is same as data.	Tensor assignment.	[ "Tensor", "assignment", "." ]	def _tensor_setitem_by_slice_with_list(data, input_slice, value): """ Tensor assignment. Note: Syntax support: A[Slice] = u Restraint condition: A is a Tensor. Slice like "1:3" u is a list Inputs: data (Tensor): Assigned tensor. input_slice (Slice): slice expression. value (List): Assignment value. Outputs: Tensor, element type and shape is same as data. """ return compile_utils.tensor_setitem_by_slice_with_sequence(data, input_slice, value)	[ "def", "_tensor_setitem_by_slice_with_list", "(", "data", ",", "input_slice", ",", "value", ")", ":", "return", "compile_utils", ".", "tensor_setitem_by_slice_with_sequence", "(", "data", ",", "input_slice", ",", "value", ")" ]	https://github.com/mindspore-ai/mindspore/blob/fb8fd3338605bb34fa5cea054e535a8b1d753fab/mindspore/python/mindspore/ops/composite/multitype_ops/setitem_impl.py#L362-L380
mongodb/mongo-cxx-driver	eb86512b05be20d2f51d53ba9b860c709e0799b3	etc/clang_format.py	python	Repo.checkout	(self, command)	return self._callgito(["checkout"] + command)	git checkout wrapper	git checkout wrapper	[ "git", "checkout", "wrapper" ]	def checkout(self, command): """git checkout wrapper """ return self._callgito(["checkout"] + command)	[ "def", "checkout", "(", "self", ",", "command", ")", ":", "return", "self", ".", "_callgito", "(", "[", "\"checkout\"", "]", "+", "command", ")" ]	https://github.com/mongodb/mongo-cxx-driver/blob/eb86512b05be20d2f51d53ba9b860c709e0799b3/etc/clang_format.py#L573-L576
eclipse/sumo	7132a9b8b6eea734bdec38479026b4d8c4336d03	tools/contributed/sumopy/coremodules/demand/turnflows_wxgui.py	python	TurnflowWxGuiMixin.on_clear_turnflows	(self, event=None)		Generates routes, based on flow information and turnflow probabilities. This function will apply the JTROUTER for each transport mode separately.	Generates routes, based on flow information and turnflow probabilities. This function will apply the JTROUTER for each transport mode separately.	[ "Generates", "routes", "based", "on", "flow", "information", "and", "turnflow", "probabilities", ".", "This", "function", "will", "apply", "the", "JTROUTER", "for", "each", "transport", "mode", "separately", "." ]	def on_clear_turnflows(self, event=None): """Generates routes, based on flow information and turnflow probabilities. This function will apply the JTROUTER for each transport mode separately. """ self._demand.turnflows.clear_turnflows() self._mainframe.browse_obj(self._demand.turnflows)	[ "def", "on_clear_turnflows", "(", "self", ",", "event", "=", "None", ")", ":", "self", ".", "_demand", ".", "turnflows", ".", "clear_turnflows", "(", ")", "self", ".", "_mainframe", ".", "browse_obj", "(", "self", ".", "_demand", ".", "turnflows", ")" ]	https://github.com/eclipse/sumo/blob/7132a9b8b6eea734bdec38479026b4d8c4336d03/tools/contributed/sumopy/coremodules/demand/turnflows_wxgui.py#L105-L110
Xilinx/Vitis-AI	fc74d404563d9951b57245443c73bef389f3657f	tools/Vitis-AI-Quantizer/vai_q_tensorflow1.x/tensorflow/python/compiler/tensorrt/trt_convert.py	python	TrtGraphConverterV2.__init__	(self, input_saved_model_dir=None, input_saved_model_tags=None, input_saved_model_signature_key=None, conversion_params=DEFAULT_TRT_CONVERSION_PARAMS)		Initialize the converter. Args: input_saved_model_dir: the directory to load the SavedModel which contains the input graph to transforms. Used only when input_graph_def is None. input_saved_model_tags: list of tags to load the SavedModel. input_saved_model_signature_key: the key of the signature to optimize the graph for. conversion_params: a TrtConversionParams instance. Raises: ValueError: if the combination of the parameters is invalid.	Initialize the converter.	[ "Initialize", "the", "converter", "." ]	def __init__(self, input_saved_model_dir=None, input_saved_model_tags=None, input_saved_model_signature_key=None, conversion_params=DEFAULT_TRT_CONVERSION_PARAMS): """Initialize the converter. Args: input_saved_model_dir: the directory to load the SavedModel which contains the input graph to transforms. Used only when input_graph_def is None. input_saved_model_tags: list of tags to load the SavedModel. input_saved_model_signature_key: the key of the signature to optimize the graph for. conversion_params: a TrtConversionParams instance. Raises: ValueError: if the combination of the parameters is invalid. """ assert context.executing_eagerly() _check_trt_version_compatibility() _check_conversion_params(conversion_params) self._conversion_params = conversion_params self._input_saved_model_dir = input_saved_model_dir self._input_saved_model_tags = ( input_saved_model_tags or [tag_constants.SERVING]) self._input_saved_model_signature_key = ( input_saved_model_signature_key or signature_constants.DEFAULT_SERVING_SIGNATURE_DEF_KEY) self._need_calibration = ( conversion_params.precision_mode == TrtPrecisionMode.INT8 and conversion_params.use_calibration) if (self._need_calibration and not conversion_params.is_dynamic_op): raise ValueError("INT8 precision mode with calibration is not supported " "with static TensorRT ops. Set is_dynamic_op to True.") self._converted = False	[ "def", "__init__", "(", "self", ",", "input_saved_model_dir", "=", "None", ",", "input_saved_model_tags", "=", "None", ",", "input_saved_model_signature_key", "=", "None", ",", "conversion_params", "=", "DEFAULT_TRT_CONVERSION_PARAMS", ")", ":", "assert", "context", ".", "executing_eagerly", "(", ")", "_check_trt_version_compatibility", "(", ")", "_check_conversion_params", "(", "conversion_params", ")", "self", ".", "_conversion_params", "=", "conversion_params", "self", ".", "_input_saved_model_dir", "=", "input_saved_model_dir", "self", ".", "_input_saved_model_tags", "=", "(", "input_saved_model_tags", "or", "[", "tag_constants", ".", "SERVING", "]", ")", "self", ".", "_input_saved_model_signature_key", "=", "(", "input_saved_model_signature_key", "or", "signature_constants", ".", "DEFAULT_SERVING_SIGNATURE_DEF_KEY", ")", "self", ".", "_need_calibration", "=", "(", "conversion_params", ".", "precision_mode", "==", "TrtPrecisionMode", ".", "INT8", "and", "conversion_params", ".", "use_calibration", ")", "if", "(", "self", ".", "_need_calibration", "and", "not", "conversion_params", ".", "is_dynamic_op", ")", ":", "raise", "ValueError", "(", "\"INT8 precision mode with calibration is not supported \"", "\"with static TensorRT ops. Set is_dynamic_op to True.\"", ")", "self", ".", "_converted", "=", "False" ]	https://github.com/Xilinx/Vitis-AI/blob/fc74d404563d9951b57245443c73bef389f3657f/tools/Vitis-AI-Quantizer/vai_q_tensorflow1.x/tensorflow/python/compiler/tensorrt/trt_convert.py#L869-L906
apiaryio/snowcrash	b5b39faa85f88ee17459edf39fdc6fe4fc70d2e3	tools/gyp/pylib/gyp/xcodeproj_file.py	python	XCObject._XCKVPrint	(self, file, tabs, key, value)		Prints a key and value, members of an XCObject's _properties dictionary, to file. tabs is an int identifying the indentation level. If the class' _should_print_single_line variable is True, tabs is ignored and the key-value pair will be followed by a space insead of a newline.	Prints a key and value, members of an XCObject's _properties dictionary, to file.	[ "Prints", "a", "key", "and", "value", "members", "of", "an", "XCObject", "s", "_properties", "dictionary", "to", "file", "." ]	def _XCKVPrint(self, file, tabs, key, value): """Prints a key and value, members of an XCObject's _properties dictionary, to file. tabs is an int identifying the indentation level. If the class' _should_print_single_line variable is True, tabs is ignored and the key-value pair will be followed by a space insead of a newline. """ if self._should_print_single_line: printable = '' after_kv = ' ' else: printable = '\t' * tabs after_kv = '\n' # Xcode usually prints remoteGlobalIDString values in PBXContainerItemProxy # objects without comments. Sometimes it prints them with comments, but # the majority of the time, it doesn't. To avoid unnecessary changes to # the project file after Xcode opens it, don't write comments for # remoteGlobalIDString. This is a sucky hack and it would certainly be # cleaner to extend the schema to indicate whether or not a comment should # be printed, but since this is the only case where the problem occurs and # Xcode itself can't seem to make up its mind, the hack will suffice. # # Also see PBXContainerItemProxy._schema['remoteGlobalIDString']. if key == 'remoteGlobalIDString' and isinstance(self, PBXContainerItemProxy): value_to_print = value.id else: value_to_print = value # PBXBuildFile's settings property is represented in the output as a dict, # but a hack here has it represented as a string. Arrange to strip off the # quotes so that it shows up in the output as expected. if key == 'settings' and isinstance(self, PBXBuildFile): strip_value_quotes = True else: strip_value_quotes = False # In another one-off, let's set flatten_list on buildSettings properties # of XCBuildConfiguration objects, because that's how Xcode treats them. if key == 'buildSettings' and isinstance(self, XCBuildConfiguration): flatten_list = True else: flatten_list = False try: printable_key = self._XCPrintableValue(tabs, key, flatten_list) printable_value = self._XCPrintableValue(tabs, value_to_print, flatten_list) if strip_value_quotes and len(printable_value) > 1 and \ printable_value[0] == '"' and printable_value[-1] == '"': printable_value = printable_value[1:-1] printable += printable_key + ' = ' + printable_value + ';' + after_kv except TypeError, e: gyp.common.ExceptionAppend(e, 'while printing key "%s"' % key) raise self._XCPrint(file, 0, printable)	[ "def", "_XCKVPrint", "(", "self", ",", "file", ",", "tabs", ",", "key", ",", "value", ")", ":", "if", "self", ".", "_should_print_single_line", ":", "printable", "=", "''", "after_kv", "=", "' '", "else", ":", "printable", "=", "'\\t'", "*", "tabs", "after_kv", "=", "'\\n'", "# Xcode usually prints remoteGlobalIDString values in PBXContainerItemProxy", "# objects without comments. 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aws/lumberyard	f85344403c1c2e77ec8c75deb2c116e97b713217	dev/Tools/Python/3.7.10/linux_x64/lib/python3.7/xml/dom/minidom.py	python	_clone_node	(node, deep, newOwnerDocument)	return clone	Clone a node and give it the new owner document. Called by Node.cloneNode and Document.importNode	Clone a node and give it the new owner document. Called by Node.cloneNode and Document.importNode	[ "Clone", "a", "node", "and", "give", "it", "the", "new", "owner", "document", ".", "Called", "by", "Node", ".", "cloneNode", "and", "Document", ".", "importNode" ]	def _clone_node(node, deep, newOwnerDocument): """ Clone a node and give it the new owner document. Called by Node.cloneNode and Document.importNode """ if node.ownerDocument.isSameNode(newOwnerDocument): operation = xml.dom.UserDataHandler.NODE_CLONED else: operation = xml.dom.UserDataHandler.NODE_IMPORTED if node.nodeType == Node.ELEMENT_NODE: clone = newOwnerDocument.createElementNS(node.namespaceURI, node.nodeName) for attr in node.attributes.values(): clone.setAttributeNS(attr.namespaceURI, attr.nodeName, attr.value) a = clone.getAttributeNodeNS(attr.namespaceURI, attr.localName) a.specified = attr.specified if deep: for child in node.childNodes: c = _clone_node(child, deep, newOwnerDocument) clone.appendChild(c) elif node.nodeType == Node.DOCUMENT_FRAGMENT_NODE: clone = newOwnerDocument.createDocumentFragment() if deep: for child in node.childNodes: c = _clone_node(child, deep, newOwnerDocument) clone.appendChild(c) elif node.nodeType == Node.TEXT_NODE: clone = newOwnerDocument.createTextNode(node.data) elif node.nodeType == Node.CDATA_SECTION_NODE: clone = newOwnerDocument.createCDATASection(node.data) elif node.nodeType == Node.PROCESSING_INSTRUCTION_NODE: clone = newOwnerDocument.createProcessingInstruction(node.target, node.data) elif node.nodeType == Node.COMMENT_NODE: clone = newOwnerDocument.createComment(node.data) elif node.nodeType == Node.ATTRIBUTE_NODE: clone = newOwnerDocument.createAttributeNS(node.namespaceURI, node.nodeName) clone.specified = True clone.value = node.value elif node.nodeType == Node.DOCUMENT_TYPE_NODE: assert node.ownerDocument is not newOwnerDocument operation = xml.dom.UserDataHandler.NODE_IMPORTED clone = newOwnerDocument.implementation.createDocumentType( node.name, node.publicId, node.systemId) clone.ownerDocument = newOwnerDocument if deep: clone.entities._seq = [] clone.notations._seq = [] for n in node.notations._seq: notation = Notation(n.nodeName, n.publicId, n.systemId) notation.ownerDocument = newOwnerDocument clone.notations._seq.append(notation) if hasattr(n, '_call_user_data_handler'): n._call_user_data_handler(operation, n, notation) for e in node.entities._seq: entity = Entity(e.nodeName, e.publicId, e.systemId, e.notationName) entity.actualEncoding = e.actualEncoding entity.encoding = e.encoding entity.version = e.version entity.ownerDocument = newOwnerDocument clone.entities._seq.append(entity) if hasattr(e, '_call_user_data_handler'): e._call_user_data_handler(operation, e, entity) else: # Note the cloning of Document and DocumentType nodes is # implementation specific. minidom handles those cases # directly in the cloneNode() methods. raise xml.dom.NotSupportedErr("Cannot clone node %s" % repr(node)) # Check for _call_user_data_handler() since this could conceivably # used with other DOM implementations (one of the FourThought # DOMs, perhaps?). if hasattr(node, '_call_user_data_handler'): node._call_user_data_handler(operation, node, clone) return clone	[ "def", "_clone_node", "(", "node", ",", "deep", ",", "newOwnerDocument", ")", ":", "if", "node", ".", 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"node", ".", "notations", ".", "_seq", ":", "notation", "=", "Notation", "(", "n", ".", "nodeName", ",", "n", ".", "publicId", ",", "n", ".", "systemId", ")", "notation", ".", "ownerDocument", "=", "newOwnerDocument", "clone", ".", "notations", ".", "_seq", ".", "append", "(", "notation", ")", "if", "hasattr", "(", "n", ",", "'_call_user_data_handler'", ")", ":", "n", ".", "_call_user_data_handler", "(", "operation", ",", "n", ",", "notation", ")", "for", "e", "in", "node", ".", "entities", ".", "_seq", ":", "entity", "=", "Entity", "(", "e", ".", "nodeName", ",", "e", ".", "publicId", ",", "e", ".", "systemId", ",", "e", ".", "notationName", ")", "entity", ".", "actualEncoding", "=", "e", ".", "actualEncoding", "entity", ".", "encoding", "=", "e", ".", "encoding", "entity", ".", "version", "=", "e", ".", "version", "entity", ".", "ownerDocument", "=", "newOwnerDocument", "clone", ".", "entities", ".", "_seq", ".", "append", "(", "entity", ")", "if", "hasattr", "(", "e", ",", "'_call_user_data_handler'", ")", ":", "e", ".", "_call_user_data_handler", "(", "operation", ",", "e", ",", "entity", ")", "else", ":", "# Note the cloning of Document and DocumentType nodes is", "# implementation specific. minidom handles those cases", "# directly in the cloneNode() methods.", "raise", "xml", ".", "dom", ".", "NotSupportedErr", "(", "\"Cannot clone node %s\"", "%", "repr", "(", "node", ")", ")", "# Check for _call_user_data_handler() since this could conceivably", "# used with other DOM implementations (one of the FourThought", "# DOMs, perhaps?).", "if", "hasattr", "(", "node", ",", "'_call_user_data_handler'", ")", ":", "node", ".", "_call_user_data_handler", "(", "operation", ",", "node", ",", "clone", ")", "return", "clone" ]	https://github.com/aws/lumberyard/blob/f85344403c1c2e77ec8c75deb2c116e97b713217/dev/Tools/Python/3.7.10/linux_x64/lib/python3.7/xml/dom/minidom.py#L1857-L1936
tensorflow/tensorflow	419e3a6b650ea4bd1b0cba23c4348f8a69f3272e	tensorflow/python/ops/summary_ops_v2.py	python	write	(tag, tensor, step=None, metadata=None, name=None)		Writes a generic summary to the default SummaryWriter if one exists. This exists primarily to support the definition of type-specific summary ops like scalar() and image(), and is not intended for direct use unless defining a new type-specific summary op. Args: tag: string tag used to identify the summary (e.g. in TensorBoard), usually generated with `tf.summary.summary_scope` tensor: the Tensor holding the summary data to write or a callable that returns this Tensor. If a callable is passed, it will only be called when a default SummaryWriter exists and the recording condition specified by `record_if()` is met. step: Explicit `int64`-castable monotonic step value for this summary. If omitted, this defaults to `tf.summary.experimental.get_step()`, which must not be None. metadata: Optional SummaryMetadata, as a proto or serialized bytes name: Optional string name for this op. Returns: True on success, or false if no summary was written because no default summary writer was available. Raises: ValueError: if a default writer exists, but no step was provided and `tf.summary.experimental.get_step()` is None.	Writes a generic summary to the default SummaryWriter if one exists.	[ "Writes", "a", "generic", "summary", "to", "the", "default", "SummaryWriter", "if", "one", "exists", "." ]	def write(tag, tensor, step=None, metadata=None, name=None): """Writes a generic summary to the default SummaryWriter if one exists. This exists primarily to support the definition of type-specific summary ops like scalar() and image(), and is not intended for direct use unless defining a new type-specific summary op. Args: tag: string tag used to identify the summary (e.g. in TensorBoard), usually generated with `tf.summary.summary_scope` tensor: the Tensor holding the summary data to write or a callable that returns this Tensor. If a callable is passed, it will only be called when a default SummaryWriter exists and the recording condition specified by `record_if()` is met. step: Explicit `int64`-castable monotonic step value for this summary. If omitted, this defaults to `tf.summary.experimental.get_step()`, which must not be None. metadata: Optional SummaryMetadata, as a proto or serialized bytes name: Optional string name for this op. Returns: True on success, or false if no summary was written because no default summary writer was available. Raises: ValueError: if a default writer exists, but no step was provided and `tf.summary.experimental.get_step()` is None. """ with ops.name_scope(name, "write_summary") as scope: if _summary_state.writer is None: return constant_op.constant(False) if step is None: step = get_step() if metadata is None: serialized_metadata = b"" elif hasattr(metadata, "SerializeToString"): serialized_metadata = metadata.SerializeToString() else: serialized_metadata = metadata def record(): """Record the actual summary and return True.""" if step is None: raise ValueError("No step set. Please specify one either through the " "`step` argument or through " "tf.summary.experimental.set_step()") # Note the identity to move the tensor to the CPU. with ops.device("cpu:0"): summary_tensor = tensor() if callable(tensor) else array_ops.identity( tensor) write_summary_op = gen_summary_ops.write_summary( _summary_state.writer._resource, # pylint: disable=protected-access step, summary_tensor, tag, serialized_metadata, name=scope) with ops.control_dependencies([write_summary_op]): return constant_op.constant(True) op = smart_cond.smart_cond( should_record_summaries(), record, _nothing, name="summary_cond") if not context.executing_eagerly(): ops.add_to_collection(ops.GraphKeys._SUMMARY_COLLECTION, op) # pylint: disable=protected-access return op	[ "def", "write", "(", "tag", ",", "tensor", ",", "step", "=", "None", ",", "metadata", "=", "None", ",", "name", "=", "None", ")", ":", "with", "ops", ".", "name_scope", "(", "name", ",", "\"write_summary\"", ")", "as", "scope", ":", "if", "_summary_state", ".", "writer", "is", "None", ":", "return", "constant_op", ".", "constant", "(", "False", ")", "if", "step", "is", "None", ":", "step", "=", "get_step", "(", ")", "if", "metadata", "is", "None", ":", "serialized_metadata", "=", "b\"\"", "elif", "hasattr", "(", "metadata", ",", "\"SerializeToString\"", ")", ":", "serialized_metadata", "=", "metadata", ".", "SerializeToString", "(", ")", "else", ":", "serialized_metadata", "=", "metadata", "def", "record", "(", ")", ":", "\"\"\"Record the actual summary and return True.\"\"\"", "if", "step", "is", "None", ":", "raise", "ValueError", "(", "\"No step set. Please specify one either through the \"", "\"`step` argument or through \"", "\"tf.summary.experimental.set_step()\"", ")", "# Note the identity to move the tensor to the CPU.", "with", "ops", ".", "device", "(", "\"cpu:0\"", ")", ":", "summary_tensor", "=", "tensor", "(", ")", "if", "callable", "(", "tensor", ")", "else", "array_ops", ".", "identity", "(", "tensor", ")", "write_summary_op", "=", "gen_summary_ops", ".", "write_summary", "(", "_summary_state", ".", "writer", ".", "_resource", ",", "# pylint: disable=protected-access", "step", ",", "summary_tensor", ",", "tag", ",", "serialized_metadata", ",", "name", "=", "scope", ")", "with", "ops", ".", "control_dependencies", "(", "[", "write_summary_op", "]", ")", ":", "return", "constant_op", ".", "constant", "(", "True", ")", "op", "=", "smart_cond", ".", "smart_cond", "(", "should_record_summaries", "(", ")", ",", "record", ",", "_nothing", ",", "name", "=", "\"summary_cond\"", ")", "if", "not", "context", ".", "executing_eagerly", "(", ")", ":", "ops", ".", "add_to_collection", "(", "ops", ".", "GraphKeys", ".", "_SUMMARY_COLLECTION", ",", "op", ")", "# pylint: disable=protected-access", "return", "op" ]	https://github.com/tensorflow/tensorflow/blob/419e3a6b650ea4bd1b0cba23c4348f8a69f3272e/tensorflow/python/ops/summary_ops_v2.py#L708-L773
adobe/chromium	cfe5bf0b51b1f6b9fe239c2a3c2f2364da9967d7	third_party/closure_linter/closure_linter/common/errorhandler.py	python	ErrorHandler.FinishFile	(self)		Finishes handling the current file. Should be called after all errors in a file have been handled.	Finishes handling the current file.	[ "Finishes", "handling", "the", "current", "file", "." ]	def FinishFile(self): """Finishes handling the current file. Should be called after all errors in a file have been handled. """	[ "def", "FinishFile", "(", "self", ")", ":" ]	https://github.com/adobe/chromium/blob/cfe5bf0b51b1f6b9fe239c2a3c2f2364da9967d7/third_party/closure_linter/closure_linter/common/errorhandler.py#L50-L54
catboost/catboost	167f64f237114a4d10b2b4ee42adb4569137debe	contrib/python/scipy/py2/scipy/optimize/_trustregion_constr/qp_subproblem.py	python	box_sphere_intersections	(z, d, lb, ub, trust_radius, entire_line=False, extra_info=False)		Find the intersection between segment (or line) and box/sphere constraints. Find the intersection between the segment (or line) defined by the parametric equation ``x(t) = z + td``, the rectangular box ``lb <= x <= ub`` and the ball ``\|\|x\|\| <= trust_radius``. Parameters ---------- z : array_like, shape (n,) Initial point. d : array_like, shape (n,) Direction. lb : array_like, shape (n,) Lower bounds to each one of the components of ``x``. Used to delimit the rectangular box. ub : array_like, shape (n, ) Upper bounds to each one of the components of ``x``. Used to delimit the rectangular box. trust_radius : float Ball radius. entire_line : bool, optional When ``True`` the function returns the intersection between the line ``x(t) = z + td`` (``t`` can assume any value) and the constraints. When ``False`` returns the intersection between the segment ``x(t) = z + td``, ``0 <= t <= 1`` and the constraints. extra_info : bool, optional When ``True`` returns ``intersect_sphere`` and ``intersect_box``. Returns ------- ta, tb : float The line/segment ``x(t) = z + td`` is inside the rectangular box and inside the ball for for ``ta <= t <= tb``. intersect : bool When ``True`` there is a intersection between the line (or segment) and both constraints. On the other hand, when ``False``, there is no intersection. sphere_info : dict, optional Dictionary ``{ta, tb, intersect}`` containing the interval ``[ta, tb]`` for which the line intercept the ball. And a boolean value indicating whether the sphere is intersected by the line. box_info : dict, optional Dictionary ``{ta, tb, intersect}`` containing the interval ``[ta, tb]`` for which the line intercept the box. And a boolean value indicating whether the box is intersected by the line.	Find the intersection between segment (or line) and box/sphere constraints.	[ "Find", "the", "intersection", "between", "segment", "(", "or", "line", ")", "and", "box", "/", "sphere", "constraints", "." ]	def box_sphere_intersections(z, d, lb, ub, trust_radius, entire_line=False, extra_info=False): """Find the intersection between segment (or line) and box/sphere constraints. Find the intersection between the segment (or line) defined by the parametric equation ``x(t) = z + td``, the rectangular box ``lb <= x <= ub`` and the ball ``\|\|x\|\| <= trust_radius``. Parameters ---------- z : array_like, shape (n,) Initial point. d : array_like, shape (n,) Direction. lb : array_like, shape (n,) Lower bounds to each one of the components of ``x``. Used to delimit the rectangular box. ub : array_like, shape (n, ) Upper bounds to each one of the components of ``x``. Used to delimit the rectangular box. trust_radius : float Ball radius. entire_line : bool, optional When ``True`` the function returns the intersection between the line ``x(t) = z + td`` (``t`` can assume any value) and the constraints. When ``False`` returns the intersection between the segment ``x(t) = z + td``, ``0 <= t <= 1`` and the constraints. extra_info : bool, optional When ``True`` returns ``intersect_sphere`` and ``intersect_box``. Returns ------- ta, tb : float The line/segment ``x(t) = z + td`` is inside the rectangular box and inside the ball for for ``ta <= t <= tb``. intersect : bool When ``True`` there is a intersection between the line (or segment) and both constraints. On the other hand, when ``False``, there is no intersection. sphere_info : dict, optional Dictionary ``{ta, tb, intersect}`` containing the interval ``[ta, tb]`` for which the line intercept the ball. And a boolean value indicating whether the sphere is intersected by the line. box_info : dict, optional Dictionary ``{ta, tb, intersect}`` containing the interval ``[ta, tb]`` for which the line intercept the box. And a boolean value indicating whether the box is intersected by the line. """ ta_b, tb_b, intersect_b = box_intersections(z, d, lb, ub, entire_line) ta_s, tb_s, intersect_s = sphere_intersections(z, d, trust_radius, entire_line) ta = np.maximum(ta_b, ta_s) tb = np.minimum(tb_b, tb_s) if intersect_b and intersect_s and ta <= tb: intersect = True else: intersect = False if extra_info: sphere_info = {'ta': ta_s, 'tb': tb_s, 'intersect': intersect_s} box_info = {'ta': ta_b, 'tb': tb_b, 'intersect': intersect_b} return ta, tb, intersect, sphere_info, box_info else: return ta, tb, intersect	[ "def", "box_sphere_intersections", "(", "z", ",", "d", ",", "lb", ",", "ub", ",", "trust_radius", ",", "entire_line", "=", "False", ",", "extra_info", "=", "False", ")", ":", "ta_b", ",", "tb_b", ",", "intersect_b", "=", "box_intersections", "(", "z", ",", "d", ",", "lb", ",", "ub", ",", "entire_line", ")", "ta_s", ",", "tb_s", ",", "intersect_s", "=", "sphere_intersections", "(", "z", ",", "d", ",", "trust_radius", ",", "entire_line", ")", "ta", "=", "np", ".", "maximum", "(", "ta_b", ",", "ta_s", ")", "tb", "=", "np", ".", "minimum", "(", "tb_b", ",", "tb_s", ")", "if", "intersect_b", "and", "intersect_s", "and", "ta", "<=", "tb", ":", "intersect", "=", "True", "else", ":", "intersect", "=", "False", "if", "extra_info", ":", "sphere_info", "=", "{", "'ta'", ":", "ta_s", ",", "'tb'", ":", "tb_s", ",", "'intersect'", ":", "intersect_s", "}", "box_info", "=", "{", "'ta'", ":", "ta_b", ",", "'tb'", ":", "tb_b", ",", "'intersect'", ":", "intersect_b", "}", "return", "ta", ",", "tb", ",", "intersect", ",", "sphere_info", ",", "box_info", "else", ":", "return", "ta", ",", "tb", ",", "intersect" ]	https://github.com/catboost/catboost/blob/167f64f237114a4d10b2b4ee42adb4569137debe/contrib/python/scipy/py2/scipy/optimize/_trustregion_constr/qp_subproblem.py#L237-L303
psi4/psi4	be533f7f426b6ccc263904e55122899b16663395	psi4/driver/qcdb/dbwrap.py	python	DB4.make_pt2_Figure_3	(self)		Plot all the graphics needed for the calendar grey bars plot in Fig. 3 of PT2. Note that in the modern implementation of class DB4, would need to pass ``sset=['tt-5min', 'hb-5min', 'mx-5min', 'dd-5min']`` to get published figure.	Plot all the graphics needed for the calendar grey bars plot in Fig. 3 of PT2.	[ "Plot", "all", "the", "graphics", "needed", "for", "the", "calendar", "grey", "bars", "plot", "in", "Fig", ".", "3", "of", "PT2", "." ]	def make_pt2_Figure_3(self): """Plot all the graphics needed for the calendar grey bars plot in Fig. 3 of PT2. Note that in the modern implementation of class DB4, would need to pass ``sset=['tt-5min', 'hb-5min', 'mx-5min', 'dd-5min']`` to get published figure. """ # Fig. bars (a) self.plot_bars(['MP2-CP-dz', 'MP2-CP-jadz', 'MP2-CP-hadz', 'MP2-CP-adz', 'MP2-CP-tz', 'MP2-CP-matz', 'MP2-CP-jatz', 'MP2-CP-hatz', 'MP2-CP-atz', 'MP2-CP-dtz', 'MP2-CP-jadtz', 'MP2-CP-hadtz', 'MP2-CP-adtz', 'MP2-CP-qz', 'MP2-CP-aaqz', 'MP2-CP-maqz', 'MP2-CP-jaqz', 'MP2-CP-haqz', 'MP2-CP-aqz', 'MP2-CP-tqz', 'MP2-CP-matqz', 'MP2-CP-jatqz', 'MP2-CP-hatqz', 'MP2-CP-atqz', 'MP2-CP-a5z', 'MP2-CP-aq5z']) self.plot_bars(['SCSMP2-CP-dz', 'SCSMP2-CP-jadz', 'SCSMP2-CP-hadz', 'SCSMP2-CP-adz', 'SCSMP2-CP-tz', 'SCSMP2-CP-matz', 'SCSMP2-CP-jatz', 'SCSMP2-CP-hatz', 'SCSMP2-CP-atz', 'SCSMP2-CP-dtz', 'SCSMP2-CP-jadtz', 'SCSMP2-CP-hadtz', 'SCSMP2-CP-adtz', 'SCSMP2-CP-qz', 'SCSMP2-CP-aaqz', 'SCSMP2-CP-maqz', 'SCSMP2-CP-jaqz', 'SCSMP2-CP-haqz', 'SCSMP2-CP-aqz', 'SCSMP2-CP-tqz', 'SCSMP2-CP-matqz', 'SCSMP2-CP-jatqz', 'SCSMP2-CP-hatqz', 'SCSMP2-CP-atqz', 'SCSMP2-CP-a5z', 'SCSMP2-CP-aq5z']) self.plot_bars(['SCSNMP2-CP-dz', 'SCSNMP2-CP-jadz', 'SCSNMP2-CP-hadz', 'SCSNMP2-CP-adz', 'SCSNMP2-CP-tz', 'SCSNMP2-CP-matz', 'SCSNMP2-CP-jatz', 'SCSNMP2-CP-hatz', 'SCSNMP2-CP-atz', 'SCSNMP2-CP-dtz', 'SCSNMP2-CP-jadtz', 'SCSNMP2-CP-hadtz', 'SCSNMP2-CP-adtz', 'SCSNMP2-CP-qz', 'SCSNMP2-CP-aaqz', 'SCSNMP2-CP-maqz', 'SCSNMP2-CP-jaqz', 'SCSNMP2-CP-haqz', 'SCSNMP2-CP-aqz', 'SCSNMP2-CP-tqz', 'SCSNMP2-CP-matqz', 'SCSNMP2-CP-jatqz', 'SCSNMP2-CP-hatqz', 'SCSNMP2-CP-atqz', 'SCSNMP2-CP-a5z', 'SCSNMP2-CP-aq5z']) self.plot_bars([None, None, None, None, 'SCSMIMP2-CP-tz', 'SCSMIMP2-CP-matz', 'SCSMIMP2-CP-jatz', 'SCSMIMP2-CP-hatz', 'SCSMIMP2-CP-atz', 'SCSMIMP2-CP-dtz', 'SCSMIMP2-CP-jadtz', 'SCSMIMP2-CP-hadtz', 'SCSMIMP2-CP-adtz', 'SCSMIMP2-CP-qz', 'SCSMIMP2-CP-aaqz', 'SCSMIMP2-CP-maqz', 'SCSMIMP2-CP-jaqz', 'SCSMIMP2-CP-haqz', 'SCSMIMP2-CP-aqz', 'SCSMIMP2-CP-tqz', 'SCSMIMP2-CP-matqz', 'SCSMIMP2-CP-jatqz', 'SCSMIMP2-CP-hatqz', 'SCSMIMP2-CP-atqz', None, None]) self.plot_bars(['DWMP2-CP-dz', 'DWMP2-CP-jadz', 'DWMP2-CP-hadz', 'DWMP2-CP-adz', 'DWMP2-CP-tz', 'DWMP2-CP-matz', 'DWMP2-CP-jatz', 'DWMP2-CP-hatz', 'DWMP2-CP-atz', 'DWMP2-CP-dtz', 'DWMP2-CP-jadtz', 'DWMP2-CP-hadtz', 'DWMP2-CP-adtz', 'DWMP2-CP-qz', 'DWMP2-CP-aaqz', 'DWMP2-CP-maqz', 'DWMP2-CP-jaqz', 'DWMP2-CP-haqz', 'DWMP2-CP-aqz', 'DWMP2-CP-tqz', 'DWMP2-CP-matqz', 'DWMP2-CP-jatqz', 'DWMP2-CP-hatqz', 'DWMP2-CP-atqz', 'DWMP2-CP-a5z', 'DWMP2-CP-aq5z']) self.plot_bars(['MP2C-CP-dz', 'MP2C-CP-jadz', 'MP2C-CP-hadz', 'MP2C-CP-adz', 'MP2C-CP-tz', 'MP2C-CP-matz', 'MP2C-CP-jatz', 'MP2C-CP-hatz', 'MP2C-CP-atz', 'MP2C-CP-dtz', 'MP2C-CP-jadtz', 'MP2C-CP-hadtz', 'MP2C-CP-adtz', None, None, None, None, None, 'MP2C-CP-aqz', None, None, None, None, 'MP2C-CP-atqz', None, None]) self.plot_bars(['MP2C-CP-atqzdz', 'MP2C-CP-atqzjadz', 'MP2C-CP-atqzhadz', 'MP2C-CP-atqzadz', 'MP2C-CP-atqztz', 'MP2C-CP-atqzmatz', 'MP2C-CP-atqzjatz', 'MP2C-CP-atqzhatz', 'MP2C-CP-atqzatz', 'MP2C-CP-atqzdtz', 'MP2C-CP-atqzjadtz', 'MP2C-CP-atqzhadtz', 'MP2C-CP-atqzadtz']) # Fig. bars (c) self.plot_bars(['MP2F12-CP-dz', 'MP2F12-CP-jadz', 'MP2F12-CP-hadz', 'MP2F12-CP-adz', 'MP2F12-CP-tz', 'MP2F12-CP-matz', 'MP2F12-CP-jatz', 'MP2F12-CP-hatz', 'MP2F12-CP-atz', 'MP2F12-CP-dtz', 'MP2F12-CP-jadtz', 'MP2F12-CP-hadtz', 'MP2F12-CP-adtz', 'MP2F12-CP-aqz', 'MP2F12-CP-atqz']) self.plot_bars(['SCSMP2F12-CP-dz', 'SCSMP2F12-CP-jadz', 'SCSMP2F12-CP-hadz', 'SCSMP2F12-CP-adz', 'SCSMP2F12-CP-tz', 'SCSMP2F12-CP-matz', 'SCSMP2F12-CP-jatz', 'SCSMP2F12-CP-hatz', 'SCSMP2F12-CP-atz', 'SCSMP2F12-CP-dtz', 'SCSMP2F12-CP-jadtz', 'SCSMP2F12-CP-hadtz', 'SCSMP2F12-CP-adtz', 'SCSMP2F12-CP-aqz', 'SCSMP2F12-CP-atqz']) self.plot_bars(['SCSNMP2F12-CP-dz', 'SCSNMP2F12-CP-jadz', 'SCSNMP2F12-CP-hadz', 'SCSNMP2F12-CP-adz', 'SCSNMP2F12-CP-tz', 'SCSNMP2F12-CP-matz', 'SCSNMP2F12-CP-jatz', 'SCSNMP2F12-CP-hatz', 'SCSNMP2F12-CP-atz', 'SCSNMP2F12-CP-dtz', 'SCSNMP2F12-CP-jadtz', 'SCSNMP2F12-CP-adtz', 'SCSNMP2F12-CP-adtz', 'SCSNMP2F12-CP-aqz', 'SCSNMP2F12-CP-atqz']) self.plot_bars([None, None, None, None, 'SCSMIMP2F12-CP-tz', 'SCSMIMP2F12-CP-matz', 'SCSMIMP2F12-CP-jatz', 'SCSMIMP2F12-CP-hatz', 'SCSMIMP2F12-CP-atz', 'SCSMIMP2F12-CP-dtz', 'SCSMIMP2F12-CP-jadtz', 'SCSMIMP2F12-CP-hadtz', 'SCSMIMP2F12-CP-adtz', 'SCSMIMP2F12-CP-aqz', 'SCSMIMP2F12-CP-atqz']) self.plot_bars(['DWMP2F12-CP-dz', 'DWMP2F12-CP-jadz', 'DWMP2F12-CP-hadz', 'DWMP2F12-CP-adz', 'DWMP2F12-CP-tz', 'DWMP2F12-CP-matz', 'DWMP2F12-CP-jatz', 'DWMP2F12-CP-hatz', 'DWMP2F12-CP-atz', 'DWMP2F12-CP-dtz', 'DWMP2F12-CP-jadtz', 'DWMP2F12-CP-hadtz', 'DWMP2F12-CP-adtz', 'DWMP2F12-CP-aqz', 'DWMP2F12-CP-atqz']) self.plot_bars(['MP2CF12-CP-dz', 'MP2CF12-CP-jadz', 'MP2CF12-CP-hadz', 'MP2CF12-CP-adz', 'MP2CF12-CP-tz', 'MP2CF12-CP-matz', 'MP2CF12-CP-jatz', 'MP2CF12-CP-hatz', 'MP2CF12-CP-atz', 'MP2CF12-CP-dtz', 'MP2CF12-CP-jadtz', 'MP2CF12-CP-hadtz', 'MP2CF12-CP-adtz', 'MP2CF12-CP-aqz', 'MP2CF12-CP-atqz']) self.plot_bars(['MP2CF12-CP-atqzdz', 'MP2CF12-CP-atqzjadz', 'MP2CF12-CP-atqzhadz', 'MP2CF12-CP-atqzadz', 'MP2CF12-CP-atqztz', 'MP2CF12-CP-atqzmatz', 'MP2CF12-CP-atqzjatz', 'MP2CF12-CP-atqzhatz', 'MP2CF12-CP-atqzatz', 'MP2CF12-CP-atqzdtz', 'MP2CF12-CP-atqzjadtz', 'MP2CF12-CP-atqzhadtz', 'MP2CF12-CP-atqzadtz'])	[ "def", "make_pt2_Figure_3", "(", "self", ")", ":", "# Fig. bars (a)", "self", ".", "plot_bars", "(", "[", "'MP2-CP-dz'", ",", "'MP2-CP-jadz'", ",", "'MP2-CP-hadz'", ",", "'MP2-CP-adz'", ",", "'MP2-CP-tz'", ",", "'MP2-CP-matz'", ",", "'MP2-CP-jatz'", ",", "'MP2-CP-hatz'", ",", "'MP2-CP-atz'", ",", "'MP2-CP-dtz'", ",", "'MP2-CP-jadtz'", ",", "'MP2-CP-hadtz'", ",", "'MP2-CP-adtz'", ",", "'MP2-CP-qz'", ",", "'MP2-CP-aaqz'", ",", "'MP2-CP-maqz'", ",", "'MP2-CP-jaqz'", ",", "'MP2-CP-haqz'", ",", "'MP2-CP-aqz'", ",", "'MP2-CP-tqz'", ",", "'MP2-CP-matqz'", ",", "'MP2-CP-jatqz'", ",", "'MP2-CP-hatqz'", ",", "'MP2-CP-atqz'", ",", "'MP2-CP-a5z'", ",", "'MP2-CP-aq5z'", "]", ")", "self", ".", "plot_bars", "(", "[", "'SCSMP2-CP-dz'", ",", "'SCSMP2-CP-jadz'", ",", "'SCSMP2-CP-hadz'", ",", "'SCSMP2-CP-adz'", ",", "'SCSMP2-CP-tz'", ",", "'SCSMP2-CP-matz'", ",", "'SCSMP2-CP-jatz'", ",", 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"'MP2CF12-CP-adtz'", ",", "'MP2CF12-CP-aqz'", ",", "'MP2CF12-CP-atqz'", "]", ")", "self", ".", "plot_bars", "(", "[", "'MP2CF12-CP-atqzdz'", ",", "'MP2CF12-CP-atqzjadz'", ",", "'MP2CF12-CP-atqzhadz'", ",", "'MP2CF12-CP-atqzadz'", ",", "'MP2CF12-CP-atqztz'", ",", "'MP2CF12-CP-atqzmatz'", ",", "'MP2CF12-CP-atqzjatz'", ",", "'MP2CF12-CP-atqzhatz'", ",", "'MP2CF12-CP-atqzatz'", ",", "'MP2CF12-CP-atqzdtz'", ",", "'MP2CF12-CP-atqzjadtz'", ",", "'MP2CF12-CP-atqzhadtz'", ",", "'MP2CF12-CP-atqzadtz'", "]", ")" ]	https://github.com/psi4/psi4/blob/be533f7f426b6ccc263904e55122899b16663395/psi4/driver/qcdb/dbwrap.py#L3092-L3178
ApolloAuto/apollo-platform	86d9dc6743b496ead18d597748ebabd34a513289	ros/ros_comm/rosbag/src/rosbag/bag.py	python	Bag.close	(self)		Close the bag file. Closing an already closed bag does nothing.	Close the bag file. Closing an already closed bag does nothing.	[ "Close", "the", "bag", "file", ".", "Closing", "an", "already", "closed", "bag", "does", "nothing", "." ]	def close(self): """ Close the bag file. Closing an already closed bag does nothing. """ if self._file: if self._mode in 'wa': self._stop_writing() self._close_file()	[ "def", "close", "(", "self", ")", ":", "if", "self", ".", "_file", ":", "if", "self", ".", "_mode", "in", "'wa'", ":", "self", ".", "_stop_writing", "(", ")", "self", ".", "_close_file", "(", ")" ]	https://github.com/ApolloAuto/apollo-platform/blob/86d9dc6743b496ead18d597748ebabd34a513289/ros/ros_comm/rosbag/src/rosbag/bag.py#L415-L423
windystrife/UnrealEngine_NVIDIAGameWorks	b50e6338a7c5b26374d66306ebc7807541ff815e	Engine/Extras/ThirdPartyNotUE/emsdk/Win64/python/2.7.5.3_64bit/Lib/site-packages/pip/vendor/distlib/locators.py	python	Locator.get_distribution_names	(self)		Return all the distribution names known to this locator.	Return all the distribution names known to this locator.	[ "Return", "all", "the", "distribution", "names", "known", "to", "this", "locator", "." ]	def get_distribution_names(self): """ Return all the distribution names known to this locator. """ raise NotImplementedError('Please implement in the subclass')	[ "def", "get_distribution_names", "(", "self", ")", ":", "raise", "NotImplementedError", "(", "'Please implement in the subclass'", ")" ]	https://github.com/windystrife/UnrealEngine_NVIDIAGameWorks/blob/b50e6338a7c5b26374d66306ebc7807541ff815e/Engine/Extras/ThirdPartyNotUE/emsdk/Win64/python/2.7.5.3_64bit/Lib/site-packages/pip/vendor/distlib/locators.py#L130-L134
wxWidgets/wxPython-Classic	19571e1ae65f1ac445f5491474121998c97a1bf0	wx/tools/Editra/src/ebmlib/searcheng.py	python	SearchEngine.SearchInFile	(self, fname)	return	Search in a file for all lines with matches of the set query and yield the results as they are found. @param fname: filename @todo: unicode handling	Search in a file for all lines with matches of the set query and yield the results as they are found. @param fname: filename @todo: unicode handling	[ "Search", "in", "a", "file", "for", "all", "lines", "with", "matches", "of", "the", "set", "query", "and", "yield", "the", "results", "as", "they", "are", "found", ".", "@param", "fname", ":", "filename", "@todo", ":", "unicode", "handling" ]	def SearchInFile(self, fname): """Search in a file for all lines with matches of the set query and yield the results as they are found. @param fname: filename @todo: unicode handling """ if self._regex is None: return checker = fchecker.FileTypeChecker() if checker.IsReadableText(fname): try: fobj = open(fname, 'rb') except (IOError, OSError): return else: # Special token to signify start of a search yield (None, fname) for lnum, line in enumerate(fobj): if self._regex.search(line) is not None: yield self._formatter(fname, lnum, line) fobj.close() return	[ "def", "SearchInFile", "(", "self", ",", "fname", ")", ":", "if", "self", ".", "_regex", "is", "None", ":", "return", "checker", "=", "fchecker", ".", "FileTypeChecker", "(", ")", "if", "checker", ".", "IsReadableText", "(", "fname", ")", ":", "try", ":", "fobj", "=", "open", "(", "fname", ",", "'rb'", ")", "except", "(", "IOError", ",", "OSError", ")", ":", "return", "else", ":", "# Special token to signify start of a search", "yield", "(", "None", ",", "fname", ")", "for", "lnum", ",", "line", "in", "enumerate", "(", "fobj", ")", ":", "if", "self", ".", "_regex", ".", "search", "(", "line", ")", "is", "not", "None", ":", "yield", "self", ".", "_formatter", "(", "fname", ",", "lnum", ",", "line", ")", "fobj", ".", "close", "(", ")", "return" ]	https://github.com/wxWidgets/wxPython-Classic/blob/19571e1ae65f1ac445f5491474121998c97a1bf0/wx/tools/Editra/src/ebmlib/searcheng.py#L308-L332
hanpfei/chromium-net	392cc1fa3a8f92f42e4071ab6e674d8e0482f83f	third_party/catapult/third_party/gsutil/gslib/cloud_api.py	python	CloudApi.CopyObject	(self, src_obj_metadata, dst_obj_metadata, src_generation=None, canned_acl=None, preconditions=None, progress_callback=None, max_bytes_per_call=None, provider=None, fields=None)		Copies an object in the cloud. Args: src_obj_metadata: Object metadata for source object. Must include bucket name, object name, and etag. dst_obj_metadata: Object metadata for new object. Must include bucket and object name. src_generation: Generation of the source object to copy. canned_acl: Optional canned ACL to apply to destination object. Overrides ACL set in dst_obj_metadata. preconditions: Destination object preconditions for the request. progress_callback: Optional callback function for progress notifications. Receives calls with arguments (bytes_transferred, total_size). max_bytes_per_call: Integer describing maximum number of bytes to rewrite per service call. provider: Cloud storage provider to connect to. If not present, class-wide default is used. fields: If present, return only these Object metadata fields. Raises: ArgumentException for errors during input validation. ServiceException for errors interacting with cloud storage providers. Returns: Object object for newly created destination object.	Copies an object in the cloud.	[ "Copies", "an", "object", "in", "the", "cloud", "." ]	def CopyObject(self, src_obj_metadata, dst_obj_metadata, src_generation=None, canned_acl=None, preconditions=None, progress_callback=None, max_bytes_per_call=None, provider=None, fields=None): """Copies an object in the cloud. Args: src_obj_metadata: Object metadata for source object. Must include bucket name, object name, and etag. dst_obj_metadata: Object metadata for new object. Must include bucket and object name. src_generation: Generation of the source object to copy. canned_acl: Optional canned ACL to apply to destination object. Overrides ACL set in dst_obj_metadata. preconditions: Destination object preconditions for the request. progress_callback: Optional callback function for progress notifications. Receives calls with arguments (bytes_transferred, total_size). max_bytes_per_call: Integer describing maximum number of bytes to rewrite per service call. provider: Cloud storage provider to connect to. If not present, class-wide default is used. fields: If present, return only these Object metadata fields. Raises: ArgumentException for errors during input validation. ServiceException for errors interacting with cloud storage providers. Returns: Object object for newly created destination object. """ raise NotImplementedError('CopyObject must be overloaded')	[ "def", "CopyObject", "(", "self", ",", "src_obj_metadata", ",", "dst_obj_metadata", ",", "src_generation", "=", "None", ",", "canned_acl", "=", "None", ",", "preconditions", "=", "None", ",", "progress_callback", "=", "None", ",", "max_bytes_per_call", "=", "None", ",", "provider", "=", "None", ",", "fields", "=", "None", ")", ":", "raise", "NotImplementedError", "(", "'CopyObject must be overloaded'", ")" ]	https://github.com/hanpfei/chromium-net/blob/392cc1fa3a8f92f42e4071ab6e674d8e0482f83f/third_party/catapult/third_party/gsutil/gslib/cloud_api.py#L397-L427
windystrife/UnrealEngine_NVIDIAGameWorks	b50e6338a7c5b26374d66306ebc7807541ff815e	Engine/Extras/ThirdPartyNotUE/emsdk/Win64/python/2.7.5.3_64bit/Lib/cookielib.py	python	unmatched	(match)	return match.string[:start]+match.string[end:]	Return unmatched part of re.Match object.	Return unmatched part of re.Match object.	[ "Return", "unmatched", "part", "of", "re", ".", "Match", "object", "." ]	def unmatched(match): """Return unmatched part of re.Match object.""" start, end = match.span(0) return match.string[:start]+match.string[end:]	[ "def", "unmatched", "(", "match", ")", ":", "start", ",", "end", "=", "match", ".", "span", "(", "0", ")", "return", "match", ".", "string", "[", ":", "start", "]", "+", "match", ".", "string", "[", "end", ":", "]" ]	https://github.com/windystrife/UnrealEngine_NVIDIAGameWorks/blob/b50e6338a7c5b26374d66306ebc7807541ff815e/Engine/Extras/ThirdPartyNotUE/emsdk/Win64/python/2.7.5.3_64bit/Lib/cookielib.py#L317-L320
aws/lumberyard	f85344403c1c2e77ec8c75deb2c116e97b713217	dev/Tools/Python/3.7.10/mac/Python.framework/Versions/3.7/lib/python3.7/code.py	python	interact	(banner=None, readfunc=None, local=None, exitmsg=None)		Closely emulate the interactive Python interpreter. This is a backwards compatible interface to the InteractiveConsole class. When readfunc is not specified, it attempts to import the readline module to enable GNU readline if it is available. Arguments (all optional, all default to None): banner -- passed to InteractiveConsole.interact() readfunc -- if not None, replaces InteractiveConsole.raw_input() local -- passed to InteractiveInterpreter.__init__() exitmsg -- passed to InteractiveConsole.interact()	Closely emulate the interactive Python interpreter.	[ "Closely", "emulate", "the", "interactive", "Python", "interpreter", "." ]	def interact(banner=None, readfunc=None, local=None, exitmsg=None): """Closely emulate the interactive Python interpreter. This is a backwards compatible interface to the InteractiveConsole class. When readfunc is not specified, it attempts to import the readline module to enable GNU readline if it is available. Arguments (all optional, all default to None): banner -- passed to InteractiveConsole.interact() readfunc -- if not None, replaces InteractiveConsole.raw_input() local -- passed to InteractiveInterpreter.__init__() exitmsg -- passed to InteractiveConsole.interact() """ console = InteractiveConsole(local) if readfunc is not None: console.raw_input = readfunc else: try: import readline except ImportError: pass console.interact(banner, exitmsg)	[ "def", "interact", "(", "banner", "=", "None", ",", "readfunc", "=", "None", ",", "local", "=", "None", ",", "exitmsg", "=", "None", ")", ":", "console", "=", "InteractiveConsole", "(", "local", ")", "if", "readfunc", "is", "not", "None", ":", "console", ".", "raw_input", "=", "readfunc", "else", ":", "try", ":", "import", "readline", "except", "ImportError", ":", "pass", "console", ".", "interact", "(", "banner", ",", "exitmsg", ")" ]	https://github.com/aws/lumberyard/blob/f85344403c1c2e77ec8c75deb2c116e97b713217/dev/Tools/Python/3.7.10/mac/Python.framework/Versions/3.7/lib/python3.7/code.py#L278-L301
mantidproject/mantid	03deeb89254ec4289edb8771e0188c2090a02f32	Framework/PythonInterface/plugins/algorithms/WorkflowAlgorithms/PolDiffILLReduction.py	python	PolDiffILLReduction._merge_twoTheta_scans	(ws)		Sums the workspaces belonging to the same polarisation and requested twoTheta value.	Sums the workspaces belonging to the same polarisation and requested twoTheta value.	[ "Sums", "the", "workspaces", "belonging", "to", "the", "same", "polarisation", "and", "requested", "twoTheta", "value", "." ]	def _merge_twoTheta_scans(ws): """Sums the workspaces belonging to the same polarisation and requested twoTheta value.""" numors = dict() for name in mtd[ws].getNames(): last_underscore = name.rfind("_") pol_direction = name[last_underscore + 1:] two_theta_orientation = mtd[name].getRun().getLogData('2theta.requested').value key = "{}_{}".format(pol_direction, two_theta_orientation) if key not in numors: numors[key] = list() numors[key].append(name) to_group = [] for key in numors: if len(numors[key]) > 1: tmp_ws = "{}_tmp".format(numors[key][0]) MergeRuns(InputWorkspaces=numors[key], OutputWorkspace=tmp_ws) DeleteWorkspaces(WorkspaceList=numors[key]) RenameWorkspace(InputWorkspace=tmp_ws, OutputWorkspace=tmp_ws[:-4]) to_group.append(tmp_ws[:-4]) if len(to_group) > 1: GroupWorkspaces(InputWorkspaces=to_group, OutputWorkspace=ws)	[ "def", "_merge_twoTheta_scans", "(", "ws", ")", ":", "numors", "=", "dict", "(", ")", "for", "name", "in", "mtd", "[", "ws", "]", ".", "getNames", "(", ")", ":", "last_underscore", "=", "name", ".", "rfind", "(", "\"_\"", ")", "pol_direction", "=", "name", "[", "last_underscore", "+", "1", ":", "]", "two_theta_orientation", "=", "mtd", "[", "name", "]", ".", "getRun", "(", ")", ".", "getLogData", "(", "'2theta.requested'", ")", ".", "value", "key", "=", "\"{}_{}\"", ".", "format", "(", "pol_direction", ",", "two_theta_orientation", ")", "if", "key", "not", "in", "numors", ":", "numors", "[", "key", "]", "=", "list", "(", ")", "numors", "[", "key", "]", ".", "append", "(", "name", ")", "to_group", "=", "[", "]", "for", "key", "in", "numors", ":", "if", "len", "(", "numors", "[", "key", "]", ")", ">", "1", ":", "tmp_ws", "=", "\"{}_tmp\"", ".", "format", "(", "numors", "[", "key", "]", "[", "0", "]", ")", "MergeRuns", "(", "InputWorkspaces", "=", "numors", "[", "key", "]", ",", "OutputWorkspace", "=", "tmp_ws", ")", "DeleteWorkspaces", "(", "WorkspaceList", "=", "numors", "[", "key", "]", ")", "RenameWorkspace", "(", "InputWorkspace", "=", "tmp_ws", ",", "OutputWorkspace", "=", "tmp_ws", "[", ":", "-", "4", "]", ")", "to_group", ".", "append", "(", "tmp_ws", "[", ":", "-", "4", "]", ")", "if", "len", "(", "to_group", ")", ">", "1", ":", "GroupWorkspaces", "(", "InputWorkspaces", "=", "to_group", ",", "OutputWorkspace", "=", "ws", ")" ]	https://github.com/mantidproject/mantid/blob/03deeb89254ec4289edb8771e0188c2090a02f32/Framework/PythonInterface/plugins/algorithms/WorkflowAlgorithms/PolDiffILLReduction.py#L411-L431
wxWidgets/wxPython-Classic	19571e1ae65f1ac445f5491474121998c97a1bf0	src/osx_cocoa/_windows.py	python	ScrolledWindow_GetClassDefaultAttributes	(args, *kwargs)	return _windows_.ScrolledWindow_GetClassDefaultAttributes(args, *kwargs)	ScrolledWindow_GetClassDefaultAttributes(int variant=WINDOW_VARIANT_NORMAL) -> VisualAttributes Get the default attributes for this class. This is useful if you want to use the same font or colour in your own control as in a standard control -- which is a much better idea than hard coding specific colours or fonts which might look completely out of place on the user's system, especially if it uses themes. The variant parameter is only relevant under Mac currently and is ignore under other platforms. Under Mac, it will change the size of the returned font. See `wx.Window.SetWindowVariant` for more about this.	ScrolledWindow_GetClassDefaultAttributes(int variant=WINDOW_VARIANT_NORMAL) -> VisualAttributes	[ "ScrolledWindow_GetClassDefaultAttributes", "(", "int", "variant", "=", "WINDOW_VARIANT_NORMAL", ")", "-", ">", "VisualAttributes" ]	def ScrolledWindow_GetClassDefaultAttributes(args, kwargs): """ ScrolledWindow_GetClassDefaultAttributes(int variant=WINDOW_VARIANT_NORMAL) -> VisualAttributes Get the default attributes for this class. This is useful if you want to use the same font or colour in your own control as in a standard control -- which is a much better idea than hard coding specific colours or fonts which might look completely out of place on the user's system, especially if it uses themes. The variant parameter is only relevant under Mac currently and is ignore under other platforms. Under Mac, it will change the size of the returned font. See `wx.Window.SetWindowVariant` for more about this. """ return _windows_.ScrolledWindow_GetClassDefaultAttributes(args, **kwargs)	[ "def", "ScrolledWindow_GetClassDefaultAttributes", "(", "", "args", ",", "", "", "kwargs", ")", ":", "return", "_windows_", ".", "ScrolledWindow_GetClassDefaultAttributes", "(", "", "args", ",", "", "", "kwargs", ")" ]	https://github.com/wxWidgets/wxPython-Classic/blob/19571e1ae65f1ac445f5491474121998c97a1bf0/src/osx_cocoa/_windows.py#L334-L349
wxWidgets/wxPython-Classic	19571e1ae65f1ac445f5491474121998c97a1bf0	src/gtk/xrc.py	python	XmlResource_Set	(args, *kwargs)	return _xrc.XmlResource_Set(args, *kwargs)	XmlResource_Set(XmlResource res) -> XmlResource	XmlResource_Set(XmlResource res) -> XmlResource	[ "XmlResource_Set", "(", "XmlResource", "res", ")", "-", ">", "XmlResource" ]	def XmlResource_Set(args, kwargs): """XmlResource_Set(XmlResource res) -> XmlResource""" return _xrc.XmlResource_Set(args, **kwargs)	[ "def", "XmlResource_Set", "(", "", "args", ",", "", "", "kwargs", ")", ":", "return", "_xrc", ".", "XmlResource_Set", "(", "", "args", ",", "", "", "kwargs", ")" ]	https://github.com/wxWidgets/wxPython-Classic/blob/19571e1ae65f1ac445f5491474121998c97a1bf0/src/gtk/xrc.py#L262-L264
catboost/catboost	167f64f237114a4d10b2b4ee42adb4569137debe	contrib/python/numpy/py3/numpy/lib/npyio.py	python	savez	(file, args, *kwds)		Save several arrays into a single file in uncompressed ``.npz`` format. Provide arrays as keyword arguments to store them under the corresponding name in the output file: ``savez(fn, x=x, y=y)``. If arrays are specified as positional arguments, i.e., ``savez(fn, x, y)``, their names will be `arr_0`, `arr_1`, etc. Parameters ---------- file : str or file Either the filename (string) or an open file (file-like object) where the data will be saved. If file is a string or a Path, the ``.npz`` extension will be appended to the filename if it is not already there. args : Arguments, optional Arrays to save to the file. Please use keyword arguments (see `kwds` below) to assign names to arrays. Arrays specified as args will be named "arr_0", "arr_1", and so on. kwds : Keyword arguments, optional Arrays to save to the file. Each array will be saved to the output file with its corresponding keyword name. Returns ------- None See Also -------- save : Save a single array to a binary file in NumPy format. savetxt : Save an array to a file as plain text. savez_compressed : Save several arrays into a compressed ``.npz`` archive Notes ----- The ``.npz`` file format is a zipped archive of files named after the variables they contain. The archive is not compressed and each file in the archive contains one variable in ``.npy`` format. For a description of the ``.npy`` format, see :py:mod:`numpy.lib.format`. When opening the saved ``.npz`` file with `load` a `NpzFile` object is returned. This is a dictionary-like object which can be queried for its list of arrays (with the ``.files`` attribute), and for the arrays themselves. When saving dictionaries, the dictionary keys become filenames inside the ZIP archive. Therefore, keys should be valid filenames. E.g., avoid keys that begin with ``/`` or contain ``.``. Examples -------- >>> from tempfile import TemporaryFile >>> outfile = TemporaryFile() >>> x = np.arange(10) >>> y = np.sin(x) Using `savez` with \\args, the arrays are saved with default names. >>> np.savez(outfile, x, y) >>> _ = outfile.seek(0) # Only needed here to simulate closing & reopening file >>> npzfile = np.load(outfile) >>> npzfile.files ['arr_0', 'arr_1'] >>> npzfile['arr_0'] array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9]) Using `savez` with \\*kwds, the arrays are saved with the keyword names. >>> outfile = TemporaryFile() >>> np.savez(outfile, x=x, y=y) >>> _ = outfile.seek(0) >>> npzfile = np.load(outfile) >>> sorted(npzfile.files) ['x', 'y'] >>> npzfile['x'] array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])	Save several arrays into a single file in uncompressed ``.npz`` format.	[ "Save", "several", "arrays", "into", "a", "single", "file", "in", "uncompressed", ".", "npz", "format", "." ]	def savez(file, args, kwds): """Save several arrays into a single file in uncompressed ``.npz`` format. Provide arrays as keyword arguments to store them under the corresponding name in the output file: ``savez(fn, x=x, y=y)``. If arrays are specified as positional arguments, i.e., ``savez(fn, x, y)``, their names will be `arr_0`, `arr_1`, etc. Parameters ---------- file : str or file Either the filename (string) or an open file (file-like object) where the data will be saved. If file is a string or a Path, the ``.npz`` extension will be appended to the filename if it is not already there. args : Arguments, optional Arrays to save to the file. Please use keyword arguments (see `kwds` below) to assign names to arrays. Arrays specified as args will be named "arr_0", "arr_1", and so on. kwds : Keyword arguments, optional Arrays to save to the file. Each array will be saved to the output file with its corresponding keyword name. Returns ------- None See Also -------- save : Save a single array to a binary file in NumPy format. savetxt : Save an array to a file as plain text. savez_compressed : Save several arrays into a compressed ``.npz`` archive Notes ----- The ``.npz`` file format is a zipped archive of files named after the variables they contain. The archive is not compressed and each file in the archive contains one variable in ``.npy`` format. For a description of the ``.npy`` format, see :py:mod:`numpy.lib.format`. When opening the saved ``.npz`` file with `load` a `NpzFile` object is returned. This is a dictionary-like object which can be queried for its list of arrays (with the ``.files`` attribute), and for the arrays themselves. When saving dictionaries, the dictionary keys become filenames inside the ZIP archive. Therefore, keys should be valid filenames. E.g., avoid keys that begin with ``/`` or contain ``.``. Examples -------- >>> from tempfile import TemporaryFile >>> outfile = TemporaryFile() >>> x = np.arange(10) >>> y = np.sin(x) Using `savez` with \\args, the arrays are saved with default names. >>> np.savez(outfile, x, y) >>> _ = outfile.seek(0) # Only needed here to simulate closing & reopening file >>> npzfile = np.load(outfile) >>> npzfile.files ['arr_0', 'arr_1'] >>> npzfile['arr_0'] array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9]) Using `savez` with \\**kwds, the arrays are saved with the keyword names. >>> outfile = TemporaryFile() >>> np.savez(outfile, x=x, y=y) >>> _ = outfile.seek(0) >>> npzfile = np.load(outfile) >>> sorted(npzfile.files) ['x', 'y'] >>> npzfile['x'] array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9]) """ _savez(file, args, kwds, False)	[ "def", "savez", "(", "file", ",", "", "args", ",", "", "*", "kwds", ")", ":", "_savez", "(", "file", ",", "args", ",", "kwds", ",", "False", ")" ]	https://github.com/catboost/catboost/blob/167f64f237114a4d10b2b4ee42adb4569137debe/contrib/python/numpy/py3/numpy/lib/npyio.py#L539-L618
wlanjie/AndroidFFmpeg	7baf9122f4b8e1c74e7baf4be5c422c7a5ba5aaf	tools/fdk-aac-build/x86/toolchain/lib/python2.7/idlelib/EditorWindow.py	python	EditorWindow.update_recent_files_list	(self, new_file=None)		Load and update the recent files list and menus	Load and update the recent files list and menus	[ "Load", "and", "update", "the", "recent", "files", "list", "and", "menus" ]	def update_recent_files_list(self, new_file=None): "Load and update the recent files list and menus" rf_list = [] if os.path.exists(self.recent_files_path): rf_list_file = open(self.recent_files_path,'r') try: rf_list = rf_list_file.readlines() finally: rf_list_file.close() if new_file: new_file = os.path.abspath(new_file) + '\n' if new_file in rf_list: rf_list.remove(new_file) # move to top rf_list.insert(0, new_file) # clean and save the recent files list bad_paths = [] for path in rf_list: if '\0' in path or not os.path.exists(path[0:-1]): bad_paths.append(path) rf_list = [path for path in rf_list if path not in bad_paths] ulchars = "1234567890ABCDEFGHIJK" rf_list = rf_list[0:len(ulchars)] try: with open(self.recent_files_path, 'w') as rf_file: rf_file.writelines(rf_list) except IOError as err: if not getattr(self.root, "recentfilelist_error_displayed", False): self.root.recentfilelist_error_displayed = True tkMessageBox.showerror(title='IDLE Error', message='Unable to update Recent Files list:\n%s' % str(err), parent=self.text) # for each edit window instance, construct the recent files menu for instance in self.top.instance_dict.keys(): menu = instance.recent_files_menu menu.delete(0, END) # clear, and rebuild: for i, file_name in enumerate(rf_list): file_name = file_name.rstrip() # zap \n # make unicode string to display non-ASCII chars correctly ufile_name = self._filename_to_unicode(file_name) callback = instance.__recent_file_callback(file_name) menu.add_command(label=ulchars[i] + " " + ufile_name, command=callback, underline=0)	[ "def", "update_recent_files_list", "(", "self", ",", "new_file", "=", "None", ")", ":", "rf_list", "=", "[", "]", "if", "os", ".", "path", ".", "exists", "(", "self", ".", "recent_files_path", ")", ":", "rf_list_file", "=", "open", "(", "self", ".", "recent_files_path", ",", "'r'", ")", "try", ":", "rf_list", "=", "rf_list_file", ".", "readlines", "(", ")", "finally", ":", "rf_list_file", ".", "close", "(", ")", "if", "new_file", ":", "new_file", "=", "os", ".", "path", ".", "abspath", "(", "new_file", ")", "+", "'\\n'", "if", "new_file", "in", "rf_list", ":", "rf_list", ".", "remove", "(", "new_file", ")", "# move to top", "rf_list", ".", "insert", "(", "0", ",", "new_file", ")", "# clean and save the recent files list", "bad_paths", "=", "[", "]", "for", "path", "in", "rf_list", ":", "if", "'\\0'", "in", "path", "or", "not", "os", ".", "path", ".", "exists", "(", "path", "[", "0", ":", "-", "1", "]", ")", ":", "bad_paths", ".", "append", "(", "path", ")", "rf_list", "=", "[", "path", "for", "path", "in", "rf_list", "if", "path", "not", "in", "bad_paths", "]", "ulchars", "=", "\"1234567890ABCDEFGHIJK\"", "rf_list", "=", "rf_list", "[", "0", ":", "len", "(", "ulchars", ")", "]", "try", ":", "with", "open", "(", "self", ".", "recent_files_path", ",", "'w'", ")", "as", "rf_file", ":", "rf_file", ".", "writelines", "(", "rf_list", ")", "except", "IOError", "as", "err", ":", "if", "not", "getattr", "(", "self", ".", "root", ",", "\"recentfilelist_error_displayed\"", ",", "False", ")", ":", "self", ".", "root", ".", "recentfilelist_error_displayed", "=", "True", "tkMessageBox", ".", "showerror", "(", "title", "=", "'IDLE Error'", ",", "message", "=", "'Unable to update Recent Files list:\\n%s'", "%", "str", "(", "err", ")", ",", "parent", "=", "self", ".", "text", ")", "# for each edit window instance, construct the recent files menu", "for", "instance", "in", "self", ".", "top", ".", "instance_dict", ".", "keys", "(", ")", ":", "menu", "=", "instance", ".", "recent_files_menu", "menu", ".", "delete", "(", "0", ",", "END", ")", "# clear, and rebuild:", "for", "i", ",", "file_name", "in", "enumerate", "(", "rf_list", ")", ":", "file_name", "=", "file_name", ".", "rstrip", "(", ")", "# zap \\n", "# make unicode string to display non-ASCII chars correctly", "ufile_name", "=", "self", ".", "_filename_to_unicode", "(", "file_name", ")", "callback", "=", "instance", ".", "__recent_file_callback", "(", "file_name", ")", "menu", ".", "add_command", "(", "label", "=", "ulchars", "[", "i", "]", "+", "\" \"", "+", "ufile_name", ",", "command", "=", "callback", ",", "underline", "=", "0", ")" ]	https://github.com/wlanjie/AndroidFFmpeg/blob/7baf9122f4b8e1c74e7baf4be5c422c7a5ba5aaf/tools/fdk-aac-build/x86/toolchain/lib/python2.7/idlelib/EditorWindow.py#L860-L903
SequoiaDB/SequoiaDB	2894ed7e5bd6fe57330afc900cf76d0ff0df9f64	tools/server/php_linux/libxml2/lib/python2.4/site-packages/libxml2.py	python	xmlDoc.validateDtdFinal	(self, ctxt)	return ret	Does the final step for the dtds validation once all the subsets have been parsed basically it does the following checks described by the XML Rec - check that ENTITY and ENTITIES type attributes default or possible values matches one of the defined entities. - check that NOTATION type attributes default or possible values matches one of the defined notations.	Does the final step for the dtds validation once all the subsets have been parsed basically it does the following checks described by the XML Rec - check that ENTITY and ENTITIES type attributes default or possible values matches one of the defined entities. - check that NOTATION type attributes default or possible values matches one of the defined notations.	[ "Does", "the", "final", "step", "for", "the", "dtds", "validation", "once", "all", "the", "subsets", "have", "been", "parsed", "basically", "it", "does", "the", "following", "checks", "described", "by", "the", "XML", "Rec", "-", "check", "that", "ENTITY", "and", "ENTITIES", "type", "attributes", "default", "or", "possible", "values", "matches", "one", "of", "the", "defined", "entities", ".", "-", "check", "that", "NOTATION", "type", "attributes", "default", "or", "possible", "values", "matches", "one", "of", "the", "defined", "notations", "." ]	def validateDtdFinal(self, ctxt): """Does the final step for the dtds validation once all the subsets have been parsed basically it does the following checks described by the XML Rec - check that ENTITY and ENTITIES type attributes default or possible values matches one of the defined entities. - check that NOTATION type attributes default or possible values matches one of the defined notations. """ if ctxt is None: ctxt__o = None else: ctxt__o = ctxt._o ret = libxml2mod.xmlValidateDtdFinal(ctxt__o, self._o) return ret	[ "def", "validateDtdFinal", "(", "self", ",", "ctxt", ")", ":", "if", "ctxt", "is", "None", ":", "ctxt__o", "=", "None", "else", ":", "ctxt__o", "=", "ctxt", ".", "_o", "ret", "=", "libxml2mod", ".", "xmlValidateDtdFinal", "(", "ctxt__o", ",", "self", ".", "_o", ")", "return", "ret" ]	https://github.com/SequoiaDB/SequoiaDB/blob/2894ed7e5bd6fe57330afc900cf76d0ff0df9f64/tools/server/php_linux/libxml2/lib/python2.4/site-packages/libxml2.py#L4651-L4662
miyosuda/TensorFlowAndroidMNIST	7b5a4603d2780a8a2834575706e9001977524007	jni-build/jni/include/tensorflow/contrib/quantization/tools/quantize_graph.py	python	GraphRewriter.eightbitize_conv_node	(self, original_node)		Replaces a Conv2D node with the eight bit equivalent sub-graph.	Replaces a Conv2D node with the eight bit equivalent sub-graph.	[ "Replaces", "a", "Conv2D", "node", "with", "the", "eight", "bit", "equivalent", "sub", "-", "graph", "." ]	def eightbitize_conv_node(self, original_node): """Replaces a Conv2D node with the eight bit equivalent sub-graph.""" all_input_names = self.add_eightbit_prologue_nodes(original_node) quantized_conv_name = original_node.name + "_eightbit_quantized_conv" quantized_conv_node = create_node("QuantizedConv2D", quantized_conv_name, all_input_names) copy_attr(quantized_conv_node, "strides", original_node.attr["strides"]) copy_attr(quantized_conv_node, "padding", original_node.attr["padding"]) set_attr_dtype(quantized_conv_node, "Tinput", tf.quint8) set_attr_dtype(quantized_conv_node, "Tfilter", tf.quint8) set_attr_dtype(quantized_conv_node, "out_type", tf.qint32) self.add_output_graph_node(quantized_conv_node) quantize_down_name = self.add_quantize_down_node(original_node, quantized_conv_name) self.add_dequantize_result_node(quantize_down_name, original_node.name)	[ "def", "eightbitize_conv_node", "(", "self", ",", "original_node", ")", ":", "all_input_names", "=", "self", ".", "add_eightbit_prologue_nodes", "(", "original_node", ")", "quantized_conv_name", "=", "original_node", ".", "name", "+", "\"_eightbit_quantized_conv\"", "quantized_conv_node", "=", "create_node", "(", "\"QuantizedConv2D\"", ",", "quantized_conv_name", ",", "all_input_names", ")", "copy_attr", "(", "quantized_conv_node", ",", "\"strides\"", ",", "original_node", ".", "attr", "[", "\"strides\"", "]", ")", "copy_attr", "(", "quantized_conv_node", ",", "\"padding\"", ",", "original_node", ".", "attr", "[", "\"padding\"", "]", ")", "set_attr_dtype", "(", "quantized_conv_node", ",", "\"Tinput\"", ",", "tf", ".", "quint8", ")", "set_attr_dtype", "(", "quantized_conv_node", ",", "\"Tfilter\"", ",", "tf", ".", "quint8", ")", "set_attr_dtype", "(", "quantized_conv_node", ",", "\"out_type\"", ",", "tf", ".", "qint32", ")", "self", ".", "add_output_graph_node", "(", "quantized_conv_node", ")", "quantize_down_name", "=", "self", ".", "add_quantize_down_node", "(", "original_node", ",", "quantized_conv_name", ")", "self", ".", "add_dequantize_result_node", "(", "quantize_down_name", ",", "original_node", ".", "name", ")" ]	https://github.com/miyosuda/TensorFlowAndroidMNIST/blob/7b5a4603d2780a8a2834575706e9001977524007/jni-build/jni/include/tensorflow/contrib/quantization/tools/quantize_graph.py#L586-L600
hanpfei/chromium-net	392cc1fa3a8f92f42e4071ab6e674d8e0482f83f	third_party/catapult/third_party/gsutil/third_party/python-gflags/gflags.py	python	DEFINE_multistring	(name, default, help, flag_values=FLAGS, **args)		Registers a flag whose value can be a list of any strings. Use the flag on the command line multiple times to place multiple string values into the list. The 'default' may be a single string (which will be converted into a single-element list) or a list of strings.	Registers a flag whose value can be a list of any strings.	[ "Registers", "a", "flag", "whose", "value", "can", "be", "a", "list", "of", "any", "strings", "." ]	def DEFINE_multistring(name, default, help, flag_values=FLAGS, args): """Registers a flag whose value can be a list of any strings. Use the flag on the command line multiple times to place multiple string values into the list. The 'default' may be a single string (which will be converted into a single-element list) or a list of strings. """ parser = ArgumentParser() serializer = ArgumentSerializer() DEFINE_multi(parser, serializer, name, default, help, flag_values, args)	[ "def", "DEFINE_multistring", "(", "name", ",", "default", ",", "help", ",", "flag_values", "=", "FLAGS", ",", "", "", "args", ")", ":", "parser", "=", "ArgumentParser", "(", ")", "serializer", "=", "ArgumentSerializer", "(", ")", "DEFINE_multi", "(", "parser", ",", "serializer", ",", "name", ",", "default", ",", "help", ",", "flag_values", ",", "", "", "args", ")" ]	https://github.com/hanpfei/chromium-net/blob/392cc1fa3a8f92f42e4071ab6e674d8e0482f83f/third_party/catapult/third_party/gsutil/third_party/python-gflags/gflags.py#L2799-L2809
clementine-player/Clementine	111379dfd027802b59125829fcf87e3e1d0ad73b	dist/cpplint.py	python	FileInfo.Split	(self)	return (project,) + os.path.splitext(rest)	Splits the file into the directory, basename, and extension. For 'chrome/browser/browser.cc', Split() would return ('chrome/browser', 'browser', '.cc') Returns: A tuple of (directory, basename, extension).	Splits the file into the directory, basename, and extension.	[ "Splits", "the", "file", "into", "the", "directory", "basename", "and", "extension", "." ]	def Split(self): """Splits the file into the directory, basename, and extension. For 'chrome/browser/browser.cc', Split() would return ('chrome/browser', 'browser', '.cc') Returns: A tuple of (directory, basename, extension). """ googlename = self.RepositoryName() project, rest = os.path.split(googlename) return (project,) + os.path.splitext(rest)	[ "def", "Split", "(", "self", ")", ":", "googlename", "=", "self", ".", "RepositoryName", "(", ")", "project", ",", "rest", "=", "os", ".", "path", ".", "split", "(", "googlename", ")", "return", "(", "project", ",", ")", "+", "os", ".", "path", ".", "splitext", "(", "rest", ")" ]	https://github.com/clementine-player/Clementine/blob/111379dfd027802b59125829fcf87e3e1d0ad73b/dist/cpplint.py#L1027-L1039
microsoft/onnxruntime	f92e47e95b13a240e37caf7b36577983544f98fc	orttraining/orttraining/python/training/optim/lr_scheduler.py	python	_LRScheduler._step	(self, train_step_info)	return new_lr	r"""Internal method called to compute learning rate	r"""Internal method called to compute learning rate	[ "r", "Internal", "method", "called", "to", "compute", "learning", "rate" ]	def _step(self, train_step_info): r"""Internal method called to compute learning rate""" # Store last lr for future inquiry new_lr = self.get_lr(train_step_info) self._last_lr = new_lr return new_lr	[ "def", "_step", "(", "self", ",", "train_step_info", ")", ":", "# Store last lr for future inquiry", "new_lr", "=", "self", ".", "get_lr", "(", "train_step_info", ")", "self", ".", "_last_lr", "=", "new_lr", "return", "new_lr" ]	https://github.com/microsoft/onnxruntime/blob/f92e47e95b13a240e37caf7b36577983544f98fc/orttraining/orttraining/python/training/optim/lr_scheduler.py#L22-L29
microsoft/onnxruntime	f92e47e95b13a240e37caf7b36577983544f98fc	onnxruntime/python/onnxruntime_inference_collection.py	python	Session.io_binding	(self)	return IOBinding(self)	Return an onnxruntime.IOBinding object`.	Return an onnxruntime.IOBinding object`.	[ "Return", "an", "onnxruntime", ".", "IOBinding", "object", "." ]	def io_binding(self): "Return an onnxruntime.IOBinding object`." return IOBinding(self)	[ "def", "io_binding", "(", "self", ")", ":", "return", "IOBinding", "(", "self", ")" ]	https://github.com/microsoft/onnxruntime/blob/f92e47e95b13a240e37caf7b36577983544f98fc/onnxruntime/python/onnxruntime_inference_collection.py#L265-L267
catboost/catboost	167f64f237114a4d10b2b4ee42adb4569137debe	contrib/python/setuptools/py3/setuptools/msvc.py	python	RegistryInfo.sxs	(self)	return join(self.visualstudio, 'SxS')	Microsoft Visual Studio SxS registry key. Return ------ str Registry key	Microsoft Visual Studio SxS registry key.	[ "Microsoft", "Visual", "Studio", "SxS", "registry", "key", "." ]	def sxs(self): """ Microsoft Visual Studio SxS registry key. Return ------ str Registry key """ return join(self.visualstudio, 'SxS')	[ "def", "sxs", "(", "self", ")", ":", "return", "join", "(", "self", ".", "visualstudio", ",", "'SxS'", ")" ]	https://github.com/catboost/catboost/blob/167f64f237114a4d10b2b4ee42adb4569137debe/contrib/python/setuptools/py3/setuptools/msvc.py#L517-L526
miyosuda/TensorFlowAndroidMNIST	7b5a4603d2780a8a2834575706e9001977524007	jni-build/jni/include/tensorflow/python/training/training_ops.py	python	_AssertInputIsScalar	(op, index)		Raises ValueError if `op.inputs[index]` is not scalar.	Raises ValueError if `op.inputs[index]` is not scalar.	[ "Raises", "ValueError", "if", "op", ".", "inputs", "[", "index", "]", "is", "not", "scalar", "." ]	def _AssertInputIsScalar(op, index): """Raises ValueError if `op.inputs[index]` is not scalar.""" op.inputs[index].get_shape().assert_is_compatible_with(tensor_shape.scalar())	[ "def", "_AssertInputIsScalar", "(", "op", ",", "index", ")", ":", "op", ".", "inputs", "[", "index", "]", ".", "get_shape", "(", ")", ".", "assert_is_compatible_with", "(", "tensor_shape", ".", "scalar", "(", ")", ")" ]	https://github.com/miyosuda/TensorFlowAndroidMNIST/blob/7b5a4603d2780a8a2834575706e9001977524007/jni-build/jni/include/tensorflow/python/training/training_ops.py#L46-L48
ChromiumWebApps/chromium	c7361d39be8abd1574e6ce8957c8dbddd4c6ccf7	tools/idl_parser/idl_parser.py	python	IDLParser.p_CommentsRest	(self, p)		CommentsRest : COMMENT CommentsRest \|	CommentsRest : COMMENT CommentsRest \|	[ "CommentsRest", ":", "COMMENT", "CommentsRest", "\|" ]	def p_CommentsRest(self, p): """CommentsRest : COMMENT CommentsRest \| """ if len(p) > 1: p[0] = ListFromConcat(self.BuildComment('Comment', p, 1), p[2])	[ "def", "p_CommentsRest", "(", "self", ",", "p", ")", ":", "if", "len", "(", "p", ")", ">", "1", ":", "p", "[", "0", "]", "=", "ListFromConcat", "(", "self", ".", "BuildComment", "(", "'Comment'", ",", "p", ",", "1", ")", ",", "p", "[", "2", "]", ")" ]	https://github.com/ChromiumWebApps/chromium/blob/c7361d39be8abd1574e6ce8957c8dbddd4c6ccf7/tools/idl_parser/idl_parser.py#L177-L181
thalium/icebox	99d147d5b9269222225443ce171b4fd46d8985d4	third_party/virtualbox/src/libs/libxml2-2.9.4/python/libxml2.py	python	xmlDoc.stringLenGetNodeList	(self, value, len)	return __tmp	Parse the value string and build the node list associated. Should produce a flat tree with only TEXTs and ENTITY_REFs.	Parse the value string and build the node list associated. Should produce a flat tree with only TEXTs and ENTITY_REFs.	[ "Parse", "the", "value", "string", "and", "build", "the", "node", "list", "associated", ".", "Should", "produce", "a", "flat", "tree", "with", "only", "TEXTs", "and", "ENTITY_REFs", "." ]	def stringLenGetNodeList(self, value, len): """Parse the value string and build the node list associated. Should produce a flat tree with only TEXTs and ENTITY_REFs. """ ret = libxml2mod.xmlStringLenGetNodeList(self._o, value, len) if ret is None:raise treeError('xmlStringLenGetNodeList() failed') __tmp = xmlNode(_obj=ret) return __tmp	[ "def", "stringLenGetNodeList", "(", "self", ",", "value", ",", "len", ")", ":", "ret", "=", "libxml2mod", ".", "xmlStringLenGetNodeList", "(", "self", ".", "_o", ",", "value", ",", "len", ")", "if", "ret", "is", "None", ":", "raise", "treeError", "(", "'xmlStringLenGetNodeList() failed'", ")", "__tmp", "=", "xmlNode", "(", "_obj", "=", "ret", ")", "return", "__tmp" ]	https://github.com/thalium/icebox/blob/99d147d5b9269222225443ce171b4fd46d8985d4/third_party/virtualbox/src/libs/libxml2-2.9.4/python/libxml2.py#L4585-L4591
hanpfei/chromium-net	392cc1fa3a8f92f42e4071ab6e674d8e0482f83f	third_party/catapult/third_party/webapp2/webapp2_extras/appengine/auth/models.py	python	UserToken.create	(cls, user, subject, token=None)	return entity	Creates a new token for the given user. :param user: User unique ID. :param subject: The subject of the key. Examples: - 'auth' - 'signup' :param token: Optionally an existing token may be provided. If None, a random token will be generated. :returns: The newly created :class:`UserToken`.	Creates a new token for the given user.	[ "Creates", "a", "new", "token", "for", "the", "given", "user", "." ]	def create(cls, user, subject, token=None): """Creates a new token for the given user. :param user: User unique ID. :param subject: The subject of the key. Examples: - 'auth' - 'signup' :param token: Optionally an existing token may be provided. If None, a random token will be generated. :returns: The newly created :class:`UserToken`. """ user = str(user) token = token or security.generate_random_string(entropy=128) key = cls.get_key(user, subject, token) entity = cls(key=key, user=user, subject=subject, token=token) entity.put() return entity	[ "def", "create", "(", "cls", ",", "user", ",", "subject", ",", "token", "=", "None", ")", ":", "user", "=", "str", "(", "user", ")", "token", "=", "token", "or", "security", ".", "generate_random_string", "(", "entropy", "=", "128", ")", "key", "=", "cls", ".", "get_key", "(", "user", ",", "subject", ",", "token", ")", "entity", "=", "cls", "(", "key", "=", "key", ",", "user", "=", "user", ",", "subject", "=", "subject", ",", "token", "=", "token", ")", "entity", ".", "put", "(", ")", "return", "entity" ]	https://github.com/hanpfei/chromium-net/blob/392cc1fa3a8f92f42e4071ab6e674d8e0482f83f/third_party/catapult/third_party/webapp2/webapp2_extras/appengine/auth/models.py#L157-L178
LiquidPlayer/LiquidCore	9405979363f2353ac9a71ad8ab59685dd7f919c9	deps/boost_1_66_0/tools/build/src/util/utility.py	python	forward_slashes	(s)	return s.replace('\\', '/')	Converts all backslashes to forward slashes.	Converts all backslashes to forward slashes.	[ "Converts", "all", "backslashes", "to", "forward", "slashes", "." ]	def forward_slashes (s): """ Converts all backslashes to forward slashes. """ assert isinstance(s, basestring) return s.replace('\\', '/')	[ "def", "forward_slashes", "(", "s", ")", ":", "assert", "isinstance", "(", "s", ",", "basestring", ")", "return", "s", ".", "replace", "(", "'\\\\'", ",", "'/'", ")" ]	https://github.com/LiquidPlayer/LiquidCore/blob/9405979363f2353ac9a71ad8ab59685dd7f919c9/deps/boost_1_66_0/tools/build/src/util/utility.py#L134-L138
mindspore-ai/mindspore	fb8fd3338605bb34fa5cea054e535a8b1d753fab	mindspore/python/mindspore/_extends/parse/standard_method.py	python	max	(x, axis=None, keepdims=False, initial=None, where=True)	return compile_utils.reduce_(x, P.ReduceMax(keepdims), cmp_fn=F.maximum, axis=axis, keepdims=keepdims, initial=initial, where=where)	Returns the maximum of a tensor or maximum along an axis. Args: x (Tensor): Input Tensor. axis (None or int or tuple of ints, optional): defaults to None. Axis or axes along which to operate. By default, flattened input is used. If this is a tuple of ints, the maximum is selected over multiple axes, instead of a single axis or all the axes as before. keepdims (boolean, optional): defaults to False. If this is set to True, the axes which are reduced are left in the result as dimensions with size one. With this option, the result will broadcast correctly against the input array. initial (scalar, optional): The minimum value of an output element. Must be present to allow computation on empty slice. where (boolean Tensor, optional): defaults to True. A boolean array which is broadcasted to match the dimensions of array, and selects elements to include in the reduction. If non-default value is passed, initial must also be provided. Returns: Tensor or scalar, maximum of input tensor. If `axis` is None, the result is a scalar value. If `axis` is given, the result is an array of dimension ``a.ndim - 1``. Raises: TypeError: if the input is not a tensor. Supported Platforms: ``Ascend`` ``GPU`` ``CPU`` Examples: >>> import numpy as np >>> from mindspore import Tensor >>> import mindspore.numpy as np >>> a = Tensor(np.arange(4).reshape((2,2)).astype('float32')) >>> output = a.max() >>> print(output) 3.0	Returns the maximum of a tensor or maximum along an axis.	[ "Returns", "the", "maximum", "of", "a", "tensor", "or", "maximum", "along", "an", "axis", "." ]	def max(x, axis=None, keepdims=False, initial=None, where=True): # pylint: disable=redefined-builtin """ Returns the maximum of a tensor or maximum along an axis. Args: x (Tensor): Input Tensor. axis (None or int or tuple of ints, optional): defaults to None. Axis or axes along which to operate. By default, flattened input is used. If this is a tuple of ints, the maximum is selected over multiple axes, instead of a single axis or all the axes as before. keepdims (boolean, optional): defaults to False. If this is set to True, the axes which are reduced are left in the result as dimensions with size one. With this option, the result will broadcast correctly against the input array. initial (scalar, optional): The minimum value of an output element. Must be present to allow computation on empty slice. where (boolean Tensor, optional): defaults to True. A boolean array which is broadcasted to match the dimensions of array, and selects elements to include in the reduction. If non-default value is passed, initial must also be provided. Returns: Tensor or scalar, maximum of input tensor. If `axis` is None, the result is a scalar value. If `axis` is given, the result is an array of dimension ``a.ndim - 1``. Raises: TypeError: if the input is not a tensor. Supported Platforms: ``Ascend`` ``GPU`` ``CPU`` Examples: >>> import numpy as np >>> from mindspore import Tensor >>> import mindspore.numpy as np >>> a = Tensor(np.arange(4).reshape((2,2)).astype('float32')) >>> output = a.max() >>> print(output) 3.0 """ return compile_utils.reduce_(x, P.ReduceMax(keepdims), cmp_fn=F.maximum, axis=axis, keepdims=keepdims, initial=initial, where=where)	[ "def", "max", "(", "x", ",", "axis", "=", "None", ",", "keepdims", "=", "False", ",", "initial", "=", "None", ",", "where", "=", "True", ")", ":", "# pylint: disable=redefined-builtin", "return", "compile_utils", ".", "reduce_", "(", "x", ",", "P", ".", "ReduceMax", "(", "keepdims", ")", ",", "cmp_fn", "=", "F", ".", "maximum", ",", "axis", "=", "axis", ",", "keepdims", "=", "keepdims", ",", "initial", "=", "initial", ",", "where", "=", "where", ")" ]	https://github.com/mindspore-ai/mindspore/blob/fb8fd3338605bb34fa5cea054e535a8b1d753fab/mindspore/python/mindspore/_extends/parse/standard_method.py#L592-L634
FreeCAD/FreeCAD	ba42231b9c6889b89e064d6d563448ed81e376ec	src/Mod/Path/PathScripts/PathSlotGui.py	python	TaskPanelOpPage.getSignalsForUpdate	(self, obj)	return signals	getSignalsForUpdate(obj) ... return list of signals for updating obj	getSignalsForUpdate(obj) ... return list of signals for updating obj	[ "getSignalsForUpdate", "(", "obj", ")", "...", "return", "list", "of", "signals", "for", "updating", "obj" ]	def getSignalsForUpdate(self, obj): '''getSignalsForUpdate(obj) ... return list of signals for updating obj''' debugMsg('getSignalsForUpdate()') signals = [] signals.append(self.form.toolController.currentIndexChanged) signals.append(self.form.coolantController.currentIndexChanged) signals.append(self.form.geo1Extension.editingFinished) signals.append(self.form.geo1Reference.currentIndexChanged) signals.append(self.form.geo2Extension.editingFinished) signals.append(self.form.geo2Reference.currentIndexChanged) signals.append(self.form.layerMode.currentIndexChanged) signals.append(self.form.pathOrientation.currentIndexChanged) signals.append(self.form.reverseDirection.stateChanged) return signals	[ "def", "getSignalsForUpdate", "(", "self", ",", "obj", ")", ":", "debugMsg", "(", "'getSignalsForUpdate()'", ")", "signals", "=", "[", "]", "signals", ".", "append", "(", "self", ".", "form", ".", "toolController", ".", "currentIndexChanged", ")", "signals", ".", "append", "(", "self", ".", "form", ".", "coolantController", ".", "currentIndexChanged", ")", "signals", ".", "append", "(", "self", ".", "form", ".", "geo1Extension", ".", "editingFinished", ")", "signals", ".", "append", "(", "self", ".", "form", ".", "geo1Reference", ".", "currentIndexChanged", ")", "signals", ".", "append", "(", "self", ".", "form", ".", "geo2Extension", ".", "editingFinished", ")", "signals", ".", "append", "(", "self", ".", "form", ".", "geo2Reference", ".", "currentIndexChanged", ")", "signals", ".", "append", "(", "self", ".", "form", ".", "layerMode", ".", "currentIndexChanged", ")", "signals", ".", "append", "(", "self", ".", "form", ".", "pathOrientation", ".", "currentIndexChanged", ")", "signals", ".", "append", "(", "self", ".", "form", ".", "reverseDirection", ".", "stateChanged", ")", "return", "signals" ]	https://github.com/FreeCAD/FreeCAD/blob/ba42231b9c6889b89e064d6d563448ed81e376ec/src/Mod/Path/PathScripts/PathSlotGui.py#L125-L138
Xilinx/Vitis-AI	fc74d404563d9951b57245443c73bef389f3657f	tools/Vitis-AI-Quantizer/vai_q_tensorflow1.x/tensorflow/contrib/timeseries/python/timeseries/model.py	python	SequentialTimeSeriesModel._apply_exogenous_update	( self, current_times, step_number, state, raw_features, embedded_exogenous_regressors)		Performs a conditional state update based on exogenous features.	Performs a conditional state update based on exogenous features.	[ "Performs", "a", "conditional", "state", "update", "based", "on", "exogenous", "features", "." ]	def _apply_exogenous_update( self, current_times, step_number, state, raw_features, embedded_exogenous_regressors): """Performs a conditional state update based on exogenous features.""" if embedded_exogenous_regressors is None: return state else: current_exogenous_regressors = embedded_exogenous_regressors[ :, step_number, :] exogenous_updated_state = self._exogenous_input_step( current_times=current_times, current_exogenous_regressors=current_exogenous_regressors, state=state) if self._exogenous_update_condition is not None: current_raw_exogenous_features = { key: value[:, step_number] for key, value in raw_features.items() if key not in [PredictionFeatures.STATE_TUPLE, TrainEvalFeatures.TIMES, TrainEvalFeatures.VALUES]} conditionally_updated_state_flat = [] for updated_state_element, original_state_element in zip( nest.flatten(exogenous_updated_state), nest.flatten(state)): conditionally_updated_state_flat.append( array_ops.where( self._exogenous_update_condition( times=current_times, features=current_raw_exogenous_features), updated_state_element, original_state_element)) return nest.pack_sequence_as(state, conditionally_updated_state_flat) else: return exogenous_updated_state	[ "def", "_apply_exogenous_update", "(", "self", ",", "current_times", ",", "step_number", ",", "state", ",", "raw_features", ",", "embedded_exogenous_regressors", ")", ":", "if", "embedded_exogenous_regressors", "is", "None", ":", "return", "state", "else", ":", "current_exogenous_regressors", "=", "embedded_exogenous_regressors", "[", ":", ",", "step_number", ",", ":", "]", "exogenous_updated_state", "=", "self", ".", "_exogenous_input_step", "(", "current_times", "=", "current_times", ",", "current_exogenous_regressors", "=", "current_exogenous_regressors", ",", "state", "=", "state", ")", "if", "self", ".", "_exogenous_update_condition", "is", "not", "None", ":", "current_raw_exogenous_features", "=", "{", "key", ":", "value", "[", ":", ",", "step_number", "]", "for", "key", ",", "value", "in", "raw_features", ".", "items", "(", ")", "if", "key", "not", "in", "[", "PredictionFeatures", ".", "STATE_TUPLE", ",", "TrainEvalFeatures", ".", "TIMES", ",", "TrainEvalFeatures", ".", "VALUES", "]", "}", "conditionally_updated_state_flat", "=", "[", "]", "for", "updated_state_element", ",", "original_state_element", "in", "zip", "(", "nest", ".", "flatten", "(", "exogenous_updated_state", ")", ",", "nest", ".", "flatten", "(", "state", ")", ")", ":", "conditionally_updated_state_flat", ".", "append", "(", "array_ops", ".", "where", "(", "self", ".", "_exogenous_update_condition", "(", "times", "=", "current_times", ",", "features", "=", "current_raw_exogenous_features", ")", ",", "updated_state_element", ",", "original_state_element", ")", ")", "return", "nest", ".", "pack_sequence_as", "(", "state", ",", "conditionally_updated_state_flat", ")", "else", ":", "return", "exogenous_updated_state" ]	https://github.com/Xilinx/Vitis-AI/blob/fc74d404563d9951b57245443c73bef389f3657f/tools/Vitis-AI-Quantizer/vai_q_tensorflow1.x/tensorflow/contrib/timeseries/python/timeseries/model.py#L550-L582
benoitsteiner/tensorflow-opencl	cb7cb40a57fde5cfd4731bc551e82a1e2fef43a5	tensorflow/contrib/learn/python/learn/utils/saved_model_export_utils.py	python	BestModelSelector.__init__	(self, compare_fn=None)		Constructor of this class. Args: compare_fn: a function that returns true if the candidate is better than the current best model.	Constructor of this class.	[ "Constructor", "of", "this", "class", "." ]	def __init__(self, compare_fn=None): """Constructor of this class. Args: compare_fn: a function that returns true if the candidate is better than the current best model. """ self._best_eval_result = None self._compare_fn = compare_fn or _default_compare_fn	[ "def", "__init__", "(", "self", ",", "compare_fn", "=", "None", ")", ":", "self", ".", "_best_eval_result", "=", "None", "self", ".", "_compare_fn", "=", "compare_fn", "or", "_default_compare_fn" ]	https://github.com/benoitsteiner/tensorflow-opencl/blob/cb7cb40a57fde5cfd4731bc551e82a1e2fef43a5/tensorflow/contrib/learn/python/learn/utils/saved_model_export_utils.py#L545-L553
aws/lumberyard	f85344403c1c2e77ec8c75deb2c116e97b713217	dev/Tools/Python/3.7.10/windows/Lib/tkinter/__init__.py	python	Misc.winfo_toplevel	(self)	return self._nametowidget(self.tk.call( 'winfo', 'toplevel', self._w))	Return the toplevel widget of this widget.	Return the toplevel widget of this widget.	[ "Return", "the", "toplevel", "widget", "of", "this", "widget", "." ]	def winfo_toplevel(self): """Return the toplevel widget of this widget.""" return self._nametowidget(self.tk.call( 'winfo', 'toplevel', self._w))	[ "def", "winfo_toplevel", "(", "self", ")", ":", "return", "self", ".", "_nametowidget", "(", "self", ".", "tk", ".", "call", "(", "'winfo'", ",", "'toplevel'", ",", "self", ".", "_w", ")", ")" ]	https://github.com/aws/lumberyard/blob/f85344403c1c2e77ec8c75deb2c116e97b713217/dev/Tools/Python/3.7.10/windows/Lib/tkinter/__init__.py#L1107-L1110
swift/swift	12d031cf8177fdec0137f9aa7e2912fa23c4416b	3rdParty/SCons/scons-3.0.1/engine/SCons/Node/__init__.py	python	Node.has_explicit_builder	(self)		Return whether this Node has an explicit builder This allows an internal Builder created by SCons to be marked non-explicit, so that it can be overridden by an explicit builder that the user supplies (the canonical example being directories).	Return whether this Node has an explicit builder	[ "Return", "whether", "this", "Node", "has", "an", "explicit", "builder" ]	def has_explicit_builder(self): """Return whether this Node has an explicit builder This allows an internal Builder created by SCons to be marked non-explicit, so that it can be overridden by an explicit builder that the user supplies (the canonical example being directories).""" try: return self.is_explicit except AttributeError: self.is_explicit = None return self.is_explicit	[ "def", "has_explicit_builder", "(", "self", ")", ":", "try", ":", "return", "self", ".", "is_explicit", "except", "AttributeError", ":", "self", ".", "is_explicit", "=", "None", "return", "self", ".", "is_explicit" ]	https://github.com/swift/swift/blob/12d031cf8177fdec0137f9aa7e2912fa23c4416b/3rdParty/SCons/scons-3.0.1/engine/SCons/Node/__init__.py#L881-L892
mindspore-ai/mindspore	fb8fd3338605bb34fa5cea054e535a8b1d753fab	mindspore/lite/examples/export_models/models/mini_alexnet.py	python	AlexNet.construct	(self, x)	return x	define network	define network	[ "define", "network" ]	def construct(self, x): """define network""" x = self.conv1(x) x = self.relu(x) x = self.max_pool2d(x) x = self.conv2(x) x = self.relu(x) x = self.max_pool2d(x) if not self.include_top: return x x = self.flatten(x) x = self.fc1(x) x = self.relu(x) x = self.dropout(x) x = self.fc2(x) x = self.relu(x) x = self.dropout(x) x = self.fc3(x) return x	[ "def", "construct", "(", "self", ",", "x", ")", ":", "x", "=", "self", ".", "conv1", "(", "x", ")", "x", "=", "self", ".", "relu", "(", "x", ")", "x", "=", "self", ".", "max_pool2d", "(", "x", ")", "x", "=", "self", ".", "conv2", "(", "x", ")", "x", "=", "self", ".", "relu", "(", "x", ")", "x", "=", "self", ".", "max_pool2d", "(", "x", ")", "if", "not", "self", ".", "include_top", ":", "return", "x", "x", "=", "self", ".", "flatten", "(", "x", ")", "x", "=", "self", ".", "fc1", "(", "x", ")", "x", "=", "self", ".", "relu", "(", "x", ")", "x", "=", "self", ".", "dropout", "(", "x", ")", "x", "=", "self", ".", "fc2", "(", "x", ")", "x", "=", "self", ".", "relu", "(", "x", ")", "x", "=", "self", ".", "dropout", "(", "x", ")", "x", "=", "self", ".", "fc3", "(", "x", ")", "return", "x" ]	https://github.com/mindspore-ai/mindspore/blob/fb8fd3338605bb34fa5cea054e535a8b1d753fab/mindspore/lite/examples/export_models/models/mini_alexnet.py#L51-L69
apache/trafodion	8455c839ad6b6d7b6e04edda5715053095b78046	install/python-installer/scripts/traf_discover.py	python	Discover.get_pidmax	(self)	return self._get_sysctl_info('kernel.pid_max')	get kernel pid max setting	get kernel pid max setting	[ "get", "kernel", "pid", "max", "setting" ]	def get_pidmax(self): """ get kernel pid max setting """ return self._get_sysctl_info('kernel.pid_max')	[ "def", "get_pidmax", "(", "self", ")", ":", "return", "self", ".", "_get_sysctl_info", "(", "'kernel.pid_max'", ")" ]	https://github.com/apache/trafodion/blob/8455c839ad6b6d7b6e04edda5715053095b78046/install/python-installer/scripts/traf_discover.py#L107-L109
wxWidgets/wxPython-Classic	19571e1ae65f1ac445f5491474121998c97a1bf0	src/osx_cocoa/grid.py	python	Grid.IsReadOnly	(args, *kwargs)	return _grid.Grid_IsReadOnly(args, *kwargs)	IsReadOnly(self, int row, int col) -> bool	IsReadOnly(self, int row, int col) -> bool	[ "IsReadOnly", "(", "self", "int", "row", "int", "col", ")", "-", ">", "bool" ]	def IsReadOnly(args, kwargs): """IsReadOnly(self, int row, int col) -> bool""" return _grid.Grid_IsReadOnly(args, **kwargs)	[ "def", "IsReadOnly", "(", "", "args", ",", "", "", "kwargs", ")", ":", "return", "_grid", ".", "Grid_IsReadOnly", "(", "", "args", ",", "", "", "kwargs", ")" ]	https://github.com/wxWidgets/wxPython-Classic/blob/19571e1ae65f1ac445f5491474121998c97a1bf0/src/osx_cocoa/grid.py#L2018-L2020
dolphin-emu/dolphin	b4c7f2b1e834ce5ea4b2301f9d4fb07c11afeabb	Externals/glslang/update_glslang_sources.py	python	GetGoodCommits	(site)		Returns the latest list of GoodCommit objects.	Returns the latest list of GoodCommit objects.	[ "Returns", "the", "latest", "list", "of", "GoodCommit", "objects", "." ]	def GetGoodCommits(site): """Returns the latest list of GoodCommit objects.""" known_good_file = SITE_TO_KNOWN_GOOD_FILE[site] with open(known_good_file) as known_good: return [GoodCommit(c) for c in json.loads(known_good.read())['commits']]	[ "def", "GetGoodCommits", "(", "site", ")", ":", "known_good_file", "=", "SITE_TO_KNOWN_GOOD_FILE", "[", "site", "]", "with", "open", "(", "known_good_file", ")", "as", "known_good", ":", "return", "[", "GoodCommit", "(", "c", ")", "for", "c", "in", "json", ".", "loads", "(", "known_good", ".", "read", "(", ")", ")", "[", "'commits'", "]", "]" ]	https://github.com/dolphin-emu/dolphin/blob/b4c7f2b1e834ce5ea4b2301f9d4fb07c11afeabb/Externals/glslang/update_glslang_sources.py#L124-L128
nvdla/sw	79538ba1b52b040a4a4645f630e457fa01839e90	umd/external/protobuf-2.6/python/mox.py	python	UnorderedGroup.IsSatisfied	(self)	return len(self._methods) == 0	Return True if there are not any methods in this group.	Return True if there are not any methods in this group.	[ "Return", "True", "if", "there", "are", "not", "any", "methods", "in", "this", "group", "." ]	def IsSatisfied(self): """Return True if there are not any methods in this group.""" return len(self._methods) == 0	[ "def", "IsSatisfied", "(", "self", ")", ":", "return", "len", "(", "self", ".", "_methods", ")", "==", "0" ]	https://github.com/nvdla/sw/blob/79538ba1b52b040a4a4645f630e457fa01839e90/umd/external/protobuf-2.6/python/mox.py#L1257-L1260
root-project/root	fcd3583bb14852bf2e8cd2415717cbaac0e75896	bindings/pyroot/pythonizations/python/ROOT/_pythonization/_roofit/_rooprodpdf.py	python	RooProdPdf.__init__	(self, args, *kwargs)		r"""The RooProdPdf constructor is pythonized with the command argument pythonization. The keywords must correspond to the CmdArgs of the constructor.	r"""The RooProdPdf constructor is pythonized with the command argument pythonization. The keywords must correspond to the CmdArgs of the constructor.	[ "r", "The", "RooProdPdf", "constructor", "is", "pythonized", "with", "the", "command", "argument", "pythonization", ".", "The", "keywords", "must", "correspond", "to", "the", "CmdArgs", "of", "the", "constructor", "." ]	def __init__(self, args, kwargs): r"""The RooProdPdf constructor is pythonized with the command argument pythonization. The keywords must correspond to the CmdArgs of the constructor. """ args, kwargs = _kwargs_to_roocmdargs(args, *kwargs) self._init(args, **kwargs)	[ "def", "__init__", "(", "self", ",", "", "args", ",", "", "", "kwargs", ")", ":", "args", ",", "kwargs", "=", "_kwargs_to_roocmdargs", "(", "", "args", ",", "", "", "kwargs", ")", "self", ".", "_init", "(", "", "args", ",", "", "*", "kwargs", ")" ]	https://github.com/root-project/root/blob/fcd3583bb14852bf2e8cd2415717cbaac0e75896/bindings/pyroot/pythonizations/python/ROOT/_pythonization/_roofit/_rooprodpdf.py#L40-L45
OAID/Tengine	66b2c22ad129d25e2fc6de3b22a608bb54dd90db	pytengine/tengine/node.py	python	Node.__init__	(self, graph=None, name=None, op=None, node=None)		Create a node object for the graph. :param graph: <graph object> :param name: <str> node_name: The name of the node. :param op: <str> op_name: The name of the operate. :param node: <node pointer>	Create a node object for the graph. :param graph: <graph object> :param name: <str> node_name: The name of the node. :param op: <str> op_name: The name of the operate. :param node: <node pointer>	[ "Create", "a", "node", "object", "for", "the", "graph", ".", ":", "param", "graph", ":", "<graph", "object", ">", ":", "param", "name", ":", "<str", ">", "node_name", ":", "The", "name", "of", "the", "node", ".", ":", "param", "op", ":", "<str", ">", "op_name", ":", "The", "name", "of", "the", "operate", ".", ":", "param", "node", ":", "<node", "pointer", ">" ]	def __init__(self, graph=None, name=None, op=None, node=None): """ Create a node object for the graph. :param graph: <graph object> :param name: <str> node_name: The name of the node. :param op: <str> op_name: The name of the operate. :param node: <node pointer> """ if node: self.node = node else: _LIB.create_graph_node.restype = node_t self.node = _LIB.create_graph_node( ctypes.c_void_p(graph.graph), c_str(name), c_str(op) ) self._attr = {} pass	[ "def", "__init__", "(", "self", ",", "graph", "=", "None", ",", "name", "=", "None", ",", "op", "=", "None", ",", "node", "=", "None", ")", ":", "if", "node", ":", "self", ".", "node", "=", "node", "else", ":", "_LIB", ".", "create_graph_node", ".", "restype", "=", "node_t", "self", ".", "node", "=", "_LIB", ".", "create_graph_node", "(", "ctypes", ".", "c_void_p", "(", "graph", ".", "graph", ")", ",", "c_str", "(", "name", ")", ",", "c_str", "(", "op", ")", ")", "self", ".", "_attr", "=", "{", "}", "pass" ]	https://github.com/OAID/Tengine/blob/66b2c22ad129d25e2fc6de3b22a608bb54dd90db/pytengine/tengine/node.py#L10-L26
gv22ga/dlib-face-recognition-android	42d6305cbd85833f2b85bb79b70ab9ab004153c9	tools/lint/cpplint.py	python	IsBlankLine	(line)	return not line or line.isspace()	Returns true if the given line is blank. We consider a line to be blank if the line is empty or consists of only white spaces. Args: line: A line of a string. Returns: True, if the given line is blank.	Returns true if the given line is blank. We consider a line to be blank if the line is empty or consists of only white spaces. Args: line: A line of a string. Returns: True, if the given line is blank.	[ "Returns", "true", "if", "the", "given", "line", "is", "blank", ".", "We", "consider", "a", "line", "to", "be", "blank", "if", "the", "line", "is", "empty", "or", "consists", "of", "only", "white", "spaces", ".", "Args", ":", "line", ":", "A", "line", "of", "a", "string", ".", "Returns", ":", "True", "if", "the", "given", "line", "is", "blank", "." ]	def IsBlankLine(line): """Returns true if the given line is blank. We consider a line to be blank if the line is empty or consists of only white spaces. Args: line: A line of a string. Returns: True, if the given line is blank. """ return not line or line.isspace()	[ "def", "IsBlankLine", "(", "line", ")", ":", "return", "not", "line", "or", "line", ".", "isspace", "(", ")" ]	https://github.com/gv22ga/dlib-face-recognition-android/blob/42d6305cbd85833f2b85bb79b70ab9ab004153c9/tools/lint/cpplint.py#L2781-L2790
mantidproject/mantid	03deeb89254ec4289edb8771e0188c2090a02f32	scripts/SANS/ISISCommandInterface.py	python	SetTransmissionMonitorSpectrum	(trans_mon)		Sets the transmission monitor spectrum. @param trans_mon :: The spectrum to set.	Sets the transmission monitor spectrum.	[ "Sets", "the", "transmission", "monitor", "spectrum", "." ]	def SetTransmissionMonitorSpectrum(trans_mon): """ Sets the transmission monitor spectrum. @param trans_mon :: The spectrum to set. """ if su.is_convertible_to_int(trans_mon): transmission_monitor = int(trans_mon) if transmission_monitor == 4: transmission_monitor = ReductionSingleton().instrument.get_m4_monitor_det_ID() ReductionSingleton().transmission_calculator.trans_mon = transmission_monitor else: sanslog.warning('Warning: Could not convert the transmission monitor spectrum to int.')	[ "def", "SetTransmissionMonitorSpectrum", "(", "trans_mon", ")", ":", "if", "su", ".", "is_convertible_to_int", "(", "trans_mon", ")", ":", "transmission_monitor", "=", "int", "(", "trans_mon", ")", "if", "transmission_monitor", "==", "4", ":", "transmission_monitor", "=", "ReductionSingleton", "(", ")", ".", "instrument", ".", "get_m4_monitor_det_ID", "(", ")", "ReductionSingleton", "(", ")", ".", "transmission_calculator", ".", "trans_mon", "=", "transmission_monitor", "else", ":", "sanslog", ".", "warning", "(", "'Warning: Could not convert the transmission monitor spectrum to int.'", ")" ]	https://github.com/mantidproject/mantid/blob/03deeb89254ec4289edb8771e0188c2090a02f32/scripts/SANS/ISISCommandInterface.py#L1350-L1361
wxWidgets/wxPython-Classic	19571e1ae65f1ac445f5491474121998c97a1bf0	src/msw/aui.py	python	AuiToolBar.GetToolSticky	(args, *kwargs)	return _aui.AuiToolBar_GetToolSticky(args, *kwargs)	GetToolSticky(self, int toolId) -> bool	GetToolSticky(self, int toolId) -> bool	[ "GetToolSticky", "(", "self", "int", "toolId", ")", "-", ">", "bool" ]	def GetToolSticky(args, kwargs): """GetToolSticky(self, int toolId) -> bool""" return _aui.AuiToolBar_GetToolSticky(args, **kwargs)	[ "def", "GetToolSticky", "(", "", "args", ",", "", "", "kwargs", ")", ":", "return", "_aui", ".", "AuiToolBar_GetToolSticky", "(", "", "args", ",", "", "", "kwargs", ")" ]	https://github.com/wxWidgets/wxPython-Classic/blob/19571e1ae65f1ac445f5491474121998c97a1bf0/src/msw/aui.py#L2214-L2216
cyberbotics/webots	af7fa7d68dcf7b4550f1f2e132092b41e83698fc	resources/osm_importer/utils/shapely_utils.py	python	convert_polygon_to_vector2d_list	(polygon)	return [Vector2D(x, y) for (x, y) in coords]	Convert a shapely polygon to a list of Vector2D.	Convert a shapely polygon to a list of Vector2D.	[ "Convert", "a", "shapely", "polygon", "to", "a", "list", "of", "Vector2D", "." ]	def convert_polygon_to_vector2d_list(polygon): """Convert a shapely polygon to a list of Vector2D.""" assert isinstance(polygon, Polygon) or isinstance(polygon, MultiPolygon) coords = [] if isinstance(polygon, Polygon): coords = polygon.exterior.coords elif isinstance(polygon, MultiPolygon): for geom in polygon.geoms: coords += geom.exterior.coords else: return None return [Vector2D(x, y) for (x, y) in coords]	[ "def", "convert_polygon_to_vector2d_list", "(", "polygon", ")", ":", "assert", "isinstance", "(", "polygon", ",", "Polygon", ")", "or", "isinstance", "(", "polygon", ",", "MultiPolygon", ")", "coords", "=", "[", "]", "if", "isinstance", "(", "polygon", ",", "Polygon", ")", ":", "coords", "=", "polygon", ".", "exterior", ".", "coords", "elif", "isinstance", "(", "polygon", ",", "MultiPolygon", ")", ":", "for", "geom", "in", "polygon", ".", "geoms", ":", "coords", "+=", "geom", ".", "exterior", ".", "coords", "else", ":", "return", "None", "return", "[", "Vector2D", "(", "x", ",", "y", ")", "for", "(", "x", ",", "y", ")", "in", "coords", "]" ]	https://github.com/cyberbotics/webots/blob/af7fa7d68dcf7b4550f1f2e132092b41e83698fc/resources/osm_importer/utils/shapely_utils.py#L88-L99
mantidproject/mantid	03deeb89254ec4289edb8771e0188c2090a02f32	qt/python/mantidqtinterfaces/mantidqtinterfaces/Muon/GUI/Common/results_tab_widget/results_tab_model.py	python	ResultsTabModel.results_table_name	(self)	return self._results_table_name	Return the current name of the results table	Return the current name of the results table	[ "Return", "the", "current", "name", "of", "the", "results", "table" ]	def results_table_name(self): """Return the current name of the results table""" return self._results_table_name	[ "def", "results_table_name", "(", "self", ")", ":", "return", "self", ".", "_results_table_name" ]	https://github.com/mantidproject/mantid/blob/03deeb89254ec4289edb8771e0188c2090a02f32/qt/python/mantidqtinterfaces/mantidqtinterfaces/Muon/GUI/Common/results_tab_widget/results_tab_model.py#L57-L59
aws/lumberyard	f85344403c1c2e77ec8c75deb2c116e97b713217	dev/Tools/Python/3.7.10/mac/Python.framework/Versions/3.7/lib/python3.7/pickletools.py	python	genops	(pickle)	return _genops(pickle)	Generate all the opcodes in a pickle. 'pickle' is a file-like object, or string, containing the pickle. Each opcode in the pickle is generated, from the current pickle position, stopping after a STOP opcode is delivered. A triple is generated for each opcode: opcode, arg, pos opcode is an OpcodeInfo record, describing the current opcode. If the opcode has an argument embedded in the pickle, arg is its decoded value, as a Python object. If the opcode doesn't have an argument, arg is None. If the pickle has a tell() method, pos was the value of pickle.tell() before reading the current opcode. If the pickle is a bytes object, it's wrapped in a BytesIO object, and the latter's tell() result is used. Else (the pickle doesn't have a tell(), and it's not obvious how to query its current position) pos is None.	Generate all the opcodes in a pickle.	[ "Generate", "all", "the", "opcodes", "in", "a", "pickle", "." ]	def genops(pickle): """Generate all the opcodes in a pickle. 'pickle' is a file-like object, or string, containing the pickle. Each opcode in the pickle is generated, from the current pickle position, stopping after a STOP opcode is delivered. A triple is generated for each opcode: opcode, arg, pos opcode is an OpcodeInfo record, describing the current opcode. If the opcode has an argument embedded in the pickle, arg is its decoded value, as a Python object. If the opcode doesn't have an argument, arg is None. If the pickle has a tell() method, pos was the value of pickle.tell() before reading the current opcode. If the pickle is a bytes object, it's wrapped in a BytesIO object, and the latter's tell() result is used. Else (the pickle doesn't have a tell(), and it's not obvious how to query its current position) pos is None. """ return _genops(pickle)	[ "def", "genops", "(", "pickle", ")", ":", "return", "_genops", "(", "pickle", ")" ]	https://github.com/aws/lumberyard/blob/f85344403c1c2e77ec8c75deb2c116e97b713217/dev/Tools/Python/3.7.10/mac/Python.framework/Versions/3.7/lib/python3.7/pickletools.py#L2222-L2245
qgis/QGIS	15a77662d4bb712184f6aa60d0bd663010a76a75	python/pyplugin_installer/version_compare.py	python	classifyCharacter	(c)		return 0 for delimiter, 1 for digit and 2 for alphabetic character	return 0 for delimiter, 1 for digit and 2 for alphabetic character	[ "return", "0", "for", "delimiter", "1", "for", "digit", "and", "2", "for", "alphabetic", "character" ]	def classifyCharacter(c): """ return 0 for delimiter, 1 for digit and 2 for alphabetic character """ if c in [".", "-", "_", " "]: return 0 if c.isdigit(): return 1 else: return 2	[ "def", "classifyCharacter", "(", "c", ")", ":", "if", "c", "in", "[", "\".\"", ",", "\"-\"", ",", "\"_\"", ",", "\" \"", "]", ":", "return", "0", "if", "c", ".", "isdigit", "(", ")", ":", "return", "1", "else", ":", "return", "2" ]	https://github.com/qgis/QGIS/blob/15a77662d4bb712184f6aa60d0bd663010a76a75/python/pyplugin_installer/version_compare.py#L72-L79
LARG/HFO	b8b2a1d462823c6732f4d5581aa7fe2e371d55cb	bin/Trainer.py	python	Trainer.registerMsgHandler	(self,handler,args,*kwargs)		Register a message handler. Handler will be called on a message that matches *args.	Register a message handler.	[ "Register", "a", "message", "handler", "." ]	def registerMsgHandler(self,handler,args,kwargs): '''Register a message handler. Handler will be called on a message that matches args. ''' args = list(args) i,_,_ = self._findHandlerInd(args) if i < 0: self._msgHandlers.append([args,handler]) else: if ('quiet' not in kwargs) or (not kwargs['quiet']): print('Updating handler for %s' % (' '.join(args))) self._msgHandlers[i] = [args,handler]	[ "def", "registerMsgHandler", "(", "self", ",", "handler", ",", "", "args", ",", "", "*", "kwargs", ")", ":", "args", "=", "list", "(", "args", ")", "i", ",", "_", ",", "_", "=", "self", ".", "_findHandlerInd", "(", "args", ")", "if", "i", "<", "0", ":", "self", ".", "_msgHandlers", ".", "append", "(", "[", "args", ",", "handler", "]", ")", "else", ":", "if", "(", "'quiet'", "not", "in", "kwargs", ")", "or", "(", "not", "kwargs", "[", "'quiet'", "]", ")", ":", "print", "(", "'Updating handler for %s'", "%", "(", "' '", ".", "join", "(", "args", ")", ")", ")", "self", ".", "_msgHandlers", "[", "i", "]", "=", "[", "args", ",", "handler", "]" ]	https://github.com/LARG/HFO/blob/b8b2a1d462823c6732f4d5581aa7fe2e371d55cb/bin/Trainer.py#L254-L267
catboost/catboost	167f64f237114a4d10b2b4ee42adb4569137debe	contrib/tools/python/src/Lib/lib-tk/turtle.py	python	TNavigator.goto	(self, x, y=None)		Move turtle to an absolute position. Aliases: setpos \| setposition \| goto: Arguments: x -- a number or a pair/vector of numbers y -- a number None call: goto(x, y) # two coordinates --or: goto((x, y)) # a pair (tuple) of coordinates --or: goto(vec) # e.g. as returned by pos() Move turtle to an absolute position. If the pen is down, a line will be drawn. The turtle's orientation does not change. Example (for a Turtle instance named turtle): >>> tp = turtle.pos() >>> tp (0.00, 0.00) >>> turtle.setpos(60,30) >>> turtle.pos() (60.00,30.00) >>> turtle.setpos((20,80)) >>> turtle.pos() (20.00,80.00) >>> turtle.setpos(tp) >>> turtle.pos() (0.00,0.00)	Move turtle to an absolute position.	[ "Move", "turtle", "to", "an", "absolute", "position", "." ]	def goto(self, x, y=None): """Move turtle to an absolute position. Aliases: setpos \| setposition \| goto: Arguments: x -- a number or a pair/vector of numbers y -- a number None call: goto(x, y) # two coordinates --or: goto((x, y)) # a pair (tuple) of coordinates --or: goto(vec) # e.g. as returned by pos() Move turtle to an absolute position. If the pen is down, a line will be drawn. The turtle's orientation does not change. Example (for a Turtle instance named turtle): >>> tp = turtle.pos() >>> tp (0.00, 0.00) >>> turtle.setpos(60,30) >>> turtle.pos() (60.00,30.00) >>> turtle.setpos((20,80)) >>> turtle.pos() (20.00,80.00) >>> turtle.setpos(tp) >>> turtle.pos() (0.00,0.00) """ if y is None: self._goto(Vec2D(*x)) else: self._goto(Vec2D(x, y))	[ "def", "goto", "(", "self", ",", "x", ",", "y", "=", "None", ")", ":", "if", "y", "is", "None", ":", "self", ".", "_goto", "(", "Vec2D", "(", "*", "x", ")", ")", "else", ":", "self", ".", "_goto", "(", "Vec2D", "(", "x", ",", "y", ")", ")" ]	https://github.com/catboost/catboost/blob/167f64f237114a4d10b2b4ee42adb4569137debe/contrib/tools/python/src/Lib/lib-tk/turtle.py#L1659-L1692
catboost/catboost	167f64f237114a4d10b2b4ee42adb4569137debe	contrib/python/ipython/py3/IPython/core/completer.py	python	provisionalcompleter	(action='ignore')		This context manager has to be used in any place where unstable completer behavior and API may be called. >>> with provisionalcompleter(): ... completer.do_experimental_things() # works >>> completer.do_experimental_things() # raises. .. note:: Unstable By using this context manager you agree that the API in use may change without warning, and that you won't complain if they do so. You also understand that, if the API is not to your liking, you should report a bug to explain your use case upstream. We'll be happy to get your feedback, feature requests, and improvements on any of the unstable APIs!		[]	def provisionalcompleter(action='ignore'): """ This context manager has to be used in any place where unstable completer behavior and API may be called. >>> with provisionalcompleter(): ... completer.do_experimental_things() # works >>> completer.do_experimental_things() # raises. .. note:: Unstable By using this context manager you agree that the API in use may change without warning, and that you won't complain if they do so. You also understand that, if the API is not to your liking, you should report a bug to explain your use case upstream. We'll be happy to get your feedback, feature requests, and improvements on any of the unstable APIs! """ with warnings.catch_warnings(): warnings.filterwarnings(action, category=ProvisionalCompleterWarning) yield	[ "def", "provisionalcompleter", "(", "action", "=", "'ignore'", ")", ":", "with", "warnings", ".", "catch_warnings", "(", ")", ":", "warnings", ".", "filterwarnings", "(", "action", ",", "category", "=", "ProvisionalCompleterWarning", ")", "yield" ]	https://github.com/catboost/catboost/blob/167f64f237114a4d10b2b4ee42adb4569137debe/contrib/python/ipython/py3/IPython/core/completer.py#L190-L217
benoitsteiner/tensorflow-opencl	cb7cb40a57fde5cfd4731bc551e82a1e2fef43a5	tensorflow/python/debug/lib/debug_data.py	python	DebugDumpDir.devices	(self)	return self._device_names	Get the list of device names. Returns: (`list` of `str`) names of the devices.	Get the list of device names.	[ "Get", "the", "list", "of", "device", "names", "." ]	def devices(self): """Get the list of device names. Returns: (`list` of `str`) names of the devices. """ return self._device_names	[ "def", "devices", "(", "self", ")", ":", "return", "self", ".", "_device_names" ]	https://github.com/benoitsteiner/tensorflow-opencl/blob/cb7cb40a57fde5cfd4731bc551e82a1e2fef43a5/tensorflow/python/debug/lib/debug_data.py#L1258-L1264
catboost/catboost	167f64f237114a4d10b2b4ee42adb4569137debe	contrib/python/pandas/py3/pandas/core/series.py	python	Series._binop	(self, other: Series, func, level=None, fill_value=None)	return this._construct_result(result, name)	Perform generic binary operation with optional fill value. Parameters ---------- other : Series func : binary operator fill_value : float or object Value to substitute for NA/null values. If both Series are NA in a location, the result will be NA regardless of the passed fill value. level : int or level name, default None Broadcast across a level, matching Index values on the passed MultiIndex level. Returns ------- Series	Perform generic binary operation with optional fill value.	[ "Perform", "generic", "binary", "operation", "with", "optional", "fill", "value", "." ]	def _binop(self, other: Series, func, level=None, fill_value=None): """ Perform generic binary operation with optional fill value. Parameters ---------- other : Series func : binary operator fill_value : float or object Value to substitute for NA/null values. If both Series are NA in a location, the result will be NA regardless of the passed fill value. level : int or level name, default None Broadcast across a level, matching Index values on the passed MultiIndex level. Returns ------- Series """ if not isinstance(other, Series): raise AssertionError("Other operand must be Series") this = self if not self.index.equals(other.index): this, other = self.align(other, level=level, join="outer", copy=False) this_vals, other_vals = ops.fill_binop(this._values, other._values, fill_value) with np.errstate(all="ignore"): result = func(this_vals, other_vals) name = ops.get_op_result_name(self, other) return this._construct_result(result, name)	[ "def", "_binop", "(", "self", ",", "other", ":", "Series", ",", "func", ",", "level", "=", "None", ",", "fill_value", "=", "None", ")", ":", "if", "not", "isinstance", "(", "other", ",", "Series", ")", ":", "raise", "AssertionError", "(", "\"Other operand must be Series\"", ")", "this", "=", "self", "if", "not", "self", ".", "index", ".", "equals", "(", "other", ".", "index", ")", ":", "this", ",", "other", "=", "self", ".", "align", "(", "other", ",", "level", "=", "level", ",", "join", "=", "\"outer\"", ",", "copy", "=", "False", ")", "this_vals", ",", "other_vals", "=", "ops", ".", "fill_binop", "(", "this", ".", "_values", ",", "other", ".", "_values", ",", "fill_value", ")", "with", "np", ".", "errstate", "(", "all", "=", "\"ignore\"", ")", ":", "result", "=", "func", "(", "this_vals", ",", "other_vals", ")", "name", "=", "ops", ".", "get_op_result_name", "(", "self", ",", "other", ")", "return", "this", ".", "_construct_result", "(", "result", ",", "name", ")" ]	https://github.com/catboost/catboost/blob/167f64f237114a4d10b2b4ee42adb4569137debe/contrib/python/pandas/py3/pandas/core/series.py#L2881-L2914
ricardoquesada/Spidermonkey	4a75ea2543408bd1b2c515aa95901523eeef7858	build/compare-mozconfig/compare-mozconfigs.py	python	get_mozconfig	(path, options)		Consumes a path and returns a list of lines from the mozconfig file. If download is required, the path specified should be relative to the root of the hg repository e.g browser/config/mozconfigs/linux32/nightly	Consumes a path and returns a list of lines from the mozconfig file. If download is required, the path specified should be relative to the root of the hg repository e.g browser/config/mozconfigs/linux32/nightly	[ "Consumes", "a", "path", "and", "returns", "a", "list", "of", "lines", "from", "the", "mozconfig", "file", ".", "If", "download", "is", "required", "the", "path", "specified", "should", "be", "relative", "to", "the", "root", "of", "the", "hg", "repository", "e", ".", "g", "browser", "/", "config", "/", "mozconfigs", "/", "linux32", "/", "nightly" ]	def get_mozconfig(path, options): """Consumes a path and returns a list of lines from the mozconfig file. If download is required, the path specified should be relative to the root of the hg repository e.g browser/config/mozconfigs/linux32/nightly""" if options.no_download: return open(path, 'r').readlines() else: url = make_hg_url(options.hghost, options.branch, 'http', options.revision, path) return urllib2.urlopen(url).readlines()	[ "def", "get_mozconfig", "(", "path", ",", "options", ")", ":", "if", "options", ".", "no_download", ":", "return", "open", "(", "path", ",", "'r'", ")", ".", "readlines", "(", ")", "else", ":", "url", "=", "make_hg_url", "(", "options", ".", "hghost", ",", "options", ".", "branch", ",", "'http'", ",", "options", ".", "revision", ",", "path", ")", "return", "urllib2", ".", "urlopen", "(", "url", ")", ".", "readlines", "(", ")" ]	https://github.com/ricardoquesada/Spidermonkey/blob/4a75ea2543408bd1b2c515aa95901523eeef7858/build/compare-mozconfig/compare-mozconfigs.py#L114-L124
google/mediapipe	e6c19885c6d3c6f410c730952aeed2852790d306	mediapipe/examples/desktop/media_sequence/charades_dataset.py	python	Charades.generate_examples	(self, path_to_mediapipe_binary, path_to_graph_directory)		Downloads data and generates sharded TFRecords. Downloads the data files, generates metadata, and processes the metadata with MediaPipe to produce tf.SequenceExamples for training. The resulting files can be read with as_dataset(). After running this function the original data files can be deleted. Args: path_to_mediapipe_binary: Path to the compiled binary for the BUILD target mediapipe/examples/desktop/demo:media_sequence_demo. path_to_graph_directory: Path to the directory with MediaPipe graphs in mediapipe/graphs/media_sequence/.	Downloads data and generates sharded TFRecords.	[ "Downloads", "data", "and", "generates", "sharded", "TFRecords", "." ]	def generate_examples(self, path_to_mediapipe_binary, path_to_graph_directory): """Downloads data and generates sharded TFRecords. Downloads the data files, generates metadata, and processes the metadata with MediaPipe to produce tf.SequenceExamples for training. The resulting files can be read with as_dataset(). After running this function the original data files can be deleted. Args: path_to_mediapipe_binary: Path to the compiled binary for the BUILD target mediapipe/examples/desktop/demo:media_sequence_demo. path_to_graph_directory: Path to the directory with MediaPipe graphs in mediapipe/graphs/media_sequence/. """ if not path_to_mediapipe_binary: raise ValueError( "You must supply the path to the MediaPipe binary for " "mediapipe/examples/desktop/demo:media_sequence_demo.") if not path_to_graph_directory: raise ValueError( "You must supply the path to the directory with MediaPipe graphs in " "mediapipe/graphs/media_sequence/.") logging.info("Downloading data.") annotation_dir, video_dir = self._download_data() for name, annotations, shards, _ in SPLITS.values(): annotation_file = os.path.join( annotation_dir, annotations) logging.info("Generating metadata for split: %s", name) all_metadata = list(self._generate_metadata(annotation_file, video_dir)) random.seed(47) random.shuffle(all_metadata) shard_names = [os.path.join(self.path_to_data, name + "-%05d-of-%05d" % ( i, shards)) for i in range(shards)] writers = [tf.io.TFRecordWriter(shard_name) for shard_name in shard_names] with _close_on_exit(writers) as writers: for i, seq_ex in enumerate(all_metadata): print("Processing example %d of %d (%d%%) \r" % ( i, len(all_metadata), i * 100 / len(all_metadata)), end="") for graph in GRAPHS: graph_path = os.path.join(path_to_graph_directory, graph) seq_ex = self._run_mediapipe( path_to_mediapipe_binary, seq_ex, graph_path) writers[i % len(writers)].write(seq_ex.SerializeToString()) logging.info("Data extraction complete.")	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miyosuda/TensorFlowAndroidDemo	35903e0221aa5f109ea2dbef27f20b52e317f42d	jni-build/jni/include/tensorflow/contrib/learn/python/learn/estimators/rnn.py	python	TensorFlowRNNClassifier.weights_	(self)	return self.get_variable_value('logistic_regression/weights')	Returns weights of the rnn layer.	Returns weights of the rnn layer.	[ "Returns", "weights", "of", "the", "rnn", "layer", "." ]	def weights_(self): """Returns weights of the rnn layer.""" return self.get_variable_value('logistic_regression/weights')	[ "def", "weights_", "(", "self", ")", ":", "return", "self", ".", "get_variable_value", "(", "'logistic_regression/weights'", ")" ]	https://github.com/miyosuda/TensorFlowAndroidDemo/blob/35903e0221aa5f109ea2dbef27f20b52e317f42d/jni-build/jni/include/tensorflow/contrib/learn/python/learn/estimators/rnn.py#L138-L140
wxWidgets/wxPython-Classic	19571e1ae65f1ac445f5491474121998c97a1bf0	src/gtk/_windows.py	python	Printout.FitThisSizeToPaper	(args, *kwargs)	return _windows_.Printout_FitThisSizeToPaper(args, *kwargs)	FitThisSizeToPaper(self, Size imageSize)	FitThisSizeToPaper(self, Size imageSize)	[ "FitThisSizeToPaper", "(", "self", "Size", "imageSize", ")" ]	def FitThisSizeToPaper(args, kwargs): """FitThisSizeToPaper(self, Size imageSize)""" return _windows_.Printout_FitThisSizeToPaper(args, **kwargs)	[ "def", "FitThisSizeToPaper", "(", "", "args", ",", "", "", "kwargs", ")", ":", "return", "_windows_", ".", "Printout_FitThisSizeToPaper", "(", "", "args", ",", "", "", "kwargs", ")" ]	https://github.com/wxWidgets/wxPython-Classic/blob/19571e1ae65f1ac445f5491474121998c97a1bf0/src/gtk/_windows.py#L5283-L5285

natanielruiz/android-yolo

1ebb54f96a67a20ff83ddfc823ed83a13dc3a47f

jni-build/jni/include/tensorflow/python/summary/event_multiplexer.py

python

EventMultiplexer.Scalars

(self, run, tag)

return accumulator.Scalars(tag)

Retrieve the scalar events associated with a run and tag. Args: run: A string name of the run for which values are retrieved. tag: A string name of the tag for which values are retrieved. Raises: KeyError: If the run is not found, or the tag is not available for the given run. Returns: An array of `event_accumulator.ScalarEvents`.

Retrieve the scalar events associated with a run and tag.

[ "Retrieve", "the", "scalar", "events", "associated", "with", "a", "run", "and", "tag", "." ]

def Scalars(self, run, tag): """Retrieve the scalar events associated with a run and tag. Args: run: A string name of the run for which values are retrieved. tag: A string name of the tag for which values are retrieved. Raises: KeyError: If the run is not found, or the tag is not available for the given run. Returns: An array of `event_accumulator.ScalarEvents`. """ accumulator = self._GetAccumulator(run) return accumulator.Scalars(tag)

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https://github.com/natanielruiz/android-yolo/blob/1ebb54f96a67a20ff83ddfc823ed83a13dc3a47f/jni-build/jni/include/tensorflow/python/summary/event_multiplexer.py#L216-L231

miyosuda/TensorFlowAndroidDemo

35903e0221aa5f109ea2dbef27f20b52e317f42d

jni-build/jni/include/tensorflow/python/ops/seq2seq.py

python

embedding_tied_rnn_seq2seq

(encoder_inputs, decoder_inputs, cell, num_symbols, embedding_size, num_decoder_symbols=None, output_projection=None, feed_previous=False, dtype=dtypes.float32, scope=None)

Embedding RNN sequence-to-sequence model with tied (shared) parameters. This model first embeds encoder_inputs by a newly created embedding (of shape [num_symbols x input_size]). Then it runs an RNN to encode embedded encoder_inputs into a state vector. Next, it embeds decoder_inputs using the same embedding. Then it runs RNN decoder, initialized with the last encoder state, on embedded decoder_inputs. The decoder output is over symbols from 0 to num_decoder_symbols - 1 if num_decoder_symbols is none; otherwise it is over 0 to num_symbols - 1. Args: encoder_inputs: A list of 1D int32 Tensors of shape [batch_size]. decoder_inputs: A list of 1D int32 Tensors of shape [batch_size]. cell: rnn_cell.RNNCell defining the cell function and size. num_symbols: Integer; number of symbols for both encoder and decoder. embedding_size: Integer, the length of the embedding vector for each symbol. num_decoder_symbols: Integer; number of output symbols for decoder. If provided, the decoder output is over symbols 0 to num_decoder_symbols - 1. Otherwise, decoder output is over symbols 0 to num_symbols - 1. Note that this assumes that the vocabulary is set up such that the first num_decoder_symbols of num_symbols are part of decoding. output_projection: None or a pair (W, B) of output projection weights and biases; W has shape [output_size x num_symbols] and B has shape [num_symbols]; if provided and feed_previous=True, each fed previous output will first be multiplied by W and added B. feed_previous: Boolean or scalar Boolean Tensor; if True, only the first of decoder_inputs will be used (the "GO" symbol), and all other decoder inputs will be taken from previous outputs (as in embedding_rnn_decoder). If False, decoder_inputs are used as given (the standard decoder case). dtype: The dtype to use for the initial RNN states (default: tf.float32). scope: VariableScope for the created subgraph; defaults to "embedding_tied_rnn_seq2seq". Returns: A tuple of the form (outputs, state), where: outputs: A list of the same length as decoder_inputs of 2D Tensors with shape [batch_size x output_symbols] containing the generated outputs where output_symbols = num_decoder_symbols if num_decoder_symbols is not None otherwise output_symbols = num_symbols. state: The state of each decoder cell at the final time-step. It is a 2D Tensor of shape [batch_size x cell.state_size]. Raises: ValueError: When output_projection has the wrong shape.

Embedding RNN sequence-to-sequence model with tied (shared) parameters.

[ "Embedding", "RNN", "sequence", "-", "to", "-", "sequence", "model", "with", "tied", "(", "shared", ")", "parameters", "." ]

def embedding_tied_rnn_seq2seq(encoder_inputs, decoder_inputs, cell, num_symbols, embedding_size, num_decoder_symbols=None, output_projection=None, feed_previous=False, dtype=dtypes.float32, scope=None): """Embedding RNN sequence-to-sequence model with tied (shared) parameters. This model first embeds encoder_inputs by a newly created embedding (of shape [num_symbols x input_size]). Then it runs an RNN to encode embedded encoder_inputs into a state vector. Next, it embeds decoder_inputs using the same embedding. Then it runs RNN decoder, initialized with the last encoder state, on embedded decoder_inputs. The decoder output is over symbols from 0 to num_decoder_symbols - 1 if num_decoder_symbols is none; otherwise it is over 0 to num_symbols - 1. Args: encoder_inputs: A list of 1D int32 Tensors of shape [batch_size]. decoder_inputs: A list of 1D int32 Tensors of shape [batch_size]. cell: rnn_cell.RNNCell defining the cell function and size. num_symbols: Integer; number of symbols for both encoder and decoder. embedding_size: Integer, the length of the embedding vector for each symbol. num_decoder_symbols: Integer; number of output symbols for decoder. If provided, the decoder output is over symbols 0 to num_decoder_symbols - 1. Otherwise, decoder output is over symbols 0 to num_symbols - 1. Note that this assumes that the vocabulary is set up such that the first num_decoder_symbols of num_symbols are part of decoding. output_projection: None or a pair (W, B) of output projection weights and biases; W has shape [output_size x num_symbols] and B has shape [num_symbols]; if provided and feed_previous=True, each fed previous output will first be multiplied by W and added B. feed_previous: Boolean or scalar Boolean Tensor; if True, only the first of decoder_inputs will be used (the "GO" symbol), and all other decoder inputs will be taken from previous outputs (as in embedding_rnn_decoder). If False, decoder_inputs are used as given (the standard decoder case). dtype: The dtype to use for the initial RNN states (default: tf.float32). scope: VariableScope for the created subgraph; defaults to "embedding_tied_rnn_seq2seq". Returns: A tuple of the form (outputs, state), where: outputs: A list of the same length as decoder_inputs of 2D Tensors with shape [batch_size x output_symbols] containing the generated outputs where output_symbols = num_decoder_symbols if num_decoder_symbols is not None otherwise output_symbols = num_symbols. state: The state of each decoder cell at the final time-step. It is a 2D Tensor of shape [batch_size x cell.state_size]. Raises: ValueError: When output_projection has the wrong shape. """ if output_projection is not None: proj_weights = ops.convert_to_tensor(output_projection[0], dtype=dtype) proj_weights.get_shape().assert_is_compatible_with([None, num_symbols]) proj_biases = ops.convert_to_tensor(output_projection[1], dtype=dtype) proj_biases.get_shape().assert_is_compatible_with([num_symbols]) with variable_scope.variable_scope(scope or "embedding_tied_rnn_seq2seq"): embedding = variable_scope.get_variable("embedding", [num_symbols, embedding_size]) emb_encoder_inputs = [embedding_ops.embedding_lookup(embedding, x) for x in encoder_inputs] emb_decoder_inputs = [embedding_ops.embedding_lookup(embedding, x) for x in decoder_inputs] output_symbols = num_symbols if num_decoder_symbols is not None: output_symbols = num_decoder_symbols if output_projection is None: cell = rnn_cell.OutputProjectionWrapper(cell, output_symbols) if isinstance(feed_previous, bool): loop_function = _extract_argmax_and_embed( embedding, output_projection, True) if feed_previous else None return tied_rnn_seq2seq(emb_encoder_inputs, emb_decoder_inputs, cell, loop_function=loop_function, dtype=dtype) # If feed_previous is a Tensor, we construct 2 graphs and use cond. def decoder(feed_previous_bool): loop_function = _extract_argmax_and_embed( embedding, output_projection, False) if feed_previous_bool else None reuse = None if feed_previous_bool else True with variable_scope.variable_scope(variable_scope.get_variable_scope(), reuse=reuse): outputs, state = tied_rnn_seq2seq( emb_encoder_inputs, emb_decoder_inputs, cell, loop_function=loop_function, dtype=dtype) state_list = [state] if nest.is_sequence(state): state_list = nest.flatten(state) return outputs + state_list outputs_and_state = control_flow_ops.cond(feed_previous, lambda: decoder(True), lambda: decoder(False)) outputs_len = len(decoder_inputs) # Outputs length same as decoder inputs. state_list = outputs_and_state[outputs_len:] state = state_list[0] # Calculate zero-state to know it's structure. static_batch_size = encoder_inputs[0].get_shape()[0] for inp in encoder_inputs[1:]: static_batch_size.merge_with(inp.get_shape()[0]) batch_size = static_batch_size.value if batch_size is None: batch_size = array_ops.shape(encoder_inputs[0])[0] zero_state = cell.zero_state(batch_size, dtype) if nest.is_sequence(zero_state): state = nest.pack_sequence_as(structure=zero_state, flat_sequence=state_list) return outputs_and_state[:outputs_len], state

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https://github.com/miyosuda/TensorFlowAndroidDemo/blob/35903e0221aa5f109ea2dbef27f20b52e317f42d/jni-build/jni/include/tensorflow/python/ops/seq2seq.py#L362-L471

arangodb/arangodb

0d658689c7d1b721b314fa3ca27d38303e1570c8

3rdParty/V8/v7.9.317/tools/grokdump.py

python

FullDump

(reader, heap)

Dump all available memory regions.

[ "Dump", "all", "available", "memory", "regions", "." ]

def FullDump(reader, heap): """Dump all available memory regions.""" def dump_region(reader, start, size, location): print() while start & 3 != 0: start += 1 size -= 1 location += 1 is_executable = reader.IsProbableExecutableRegion(location, size) is_ascii = reader.IsProbableASCIIRegion(location, size) if is_executable is not False: lines = reader.GetDisasmLines(start, size) for line in lines: print(FormatDisasmLine(start, heap, line)) print() if is_ascii is not False: # Output in the same format as the Unix hd command addr = start for i in range(0, size, 16): slot = i + location hex_line = "" asc_line = "" for i in range(16): if slot + i < location + size: byte = ctypes.c_uint8.from_buffer(reader.minidump, slot + i).value if byte >= 0x20 and byte < 0x7f: asc_line += chr(byte) else: asc_line += "." hex_line += " %02x" % (byte) else: hex_line += " " if i == 7: hex_line += " " print("%s %s |%s|" % (reader.FormatIntPtr(addr), hex_line, asc_line)) addr += 16 if is_executable is not True and is_ascii is not True: print("%s - %s" % (reader.FormatIntPtr(start), reader.FormatIntPtr(start + size))) print(start + size + 1); for i in range(0, size, reader.PointerSize()): slot = start + i maybe_address = reader.ReadUIntPtr(slot) heap_object = heap.FindObject(maybe_address) print("%s: %s" % (reader.FormatIntPtr(slot), reader.FormatIntPtr(maybe_address))) if heap_object: heap_object.Print(Printer()) print() reader.ForEachMemoryRegion(dump_region)

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https://github.com/arangodb/arangodb/blob/0d658689c7d1b721b314fa3ca27d38303e1570c8/3rdParty/V8/v7.9.317/tools/grokdump.py#L126-L181

aws/lumberyard

f85344403c1c2e77ec8c75deb2c116e97b713217

dev/Tools/Python/3.7.10/linux_x64/lib/python3.7/email/_header_value_parser.py

python

parse_mime_parameters

(value)

return mime_parameters

parameter *( ";" parameter ) That BNF is meant to indicate this routine should only be called after finding and handling the leading ';'. There is no corresponding rule in the formal RFC grammar, but it is more convenient for us for the set of parameters to be treated as its own TokenList. This is 'parse' routine because it consumes the reminaing value, but it would never be called to parse a full header. Instead it is called to parse everything after the non-parameter value of a specific MIME header.

parameter *( ";" parameter )

[ "parameter", "*", "(", ";", "parameter", ")" ]

def parse_mime_parameters(value): """ parameter *( ";" parameter ) That BNF is meant to indicate this routine should only be called after finding and handling the leading ';'. There is no corresponding rule in the formal RFC grammar, but it is more convenient for us for the set of parameters to be treated as its own TokenList. This is 'parse' routine because it consumes the reminaing value, but it would never be called to parse a full header. Instead it is called to parse everything after the non-parameter value of a specific MIME header. """ mime_parameters = MimeParameters() while value: try: token, value = get_parameter(value) mime_parameters.append(token) except errors.HeaderParseError as err: leader = None if value[0] in CFWS_LEADER: leader, value = get_cfws(value) if not value: mime_parameters.append(leader) return mime_parameters if value[0] == ';': if leader is not None: mime_parameters.append(leader) mime_parameters.defects.append(errors.InvalidHeaderDefect( "parameter entry with no content")) else: token, value = get_invalid_parameter(value) if leader: token[:0] = [leader] mime_parameters.append(token) mime_parameters.defects.append(errors.InvalidHeaderDefect( "invalid parameter {!r}".format(token))) if value and value[0] != ';': # Junk after the otherwise valid parameter. Mark it as # invalid, but it will have a value. param = mime_parameters[-1] param.token_type = 'invalid-parameter' token, value = get_invalid_parameter(value) param.extend(token) mime_parameters.defects.append(errors.InvalidHeaderDefect( "parameter with invalid trailing text {!r}".format(token))) if value: # Must be a ';' at this point. mime_parameters.append(ValueTerminal(';', 'parameter-separator')) value = value[1:] return mime_parameters

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https://github.com/aws/lumberyard/blob/f85344403c1c2e77ec8c75deb2c116e97b713217/dev/Tools/Python/3.7.10/linux_x64/lib/python3.7/email/_header_value_parser.py#L2434-L2484

smilehao/xlua-framework

a03801538be2b0e92d39332d445b22caca1ef61f

ConfigData/trunk/tools/protobuf-2.5.0/protobuf-2.5.0/python/google/protobuf/internal/encoder.py

python

_StructPackEncoder

(wire_type, format)

return SpecificEncoder

Return a constructor for an encoder for a fixed-width field. Args: wire_type: The field's wire type, for encoding tags. format: The format string to pass to struct.pack().

Return a constructor for an encoder for a fixed-width field.

[ "Return", "a", "constructor", "for", "an", "encoder", "for", "a", "fixed", "-", "width", "field", "." ]

def _StructPackEncoder(wire_type, format): """Return a constructor for an encoder for a fixed-width field. Args: wire_type: The field's wire type, for encoding tags. format: The format string to pass to struct.pack(). """ value_size = struct.calcsize(format) def SpecificEncoder(field_number, is_repeated, is_packed): local_struct_pack = struct.pack if is_packed: tag_bytes = TagBytes(field_number, wire_format.WIRETYPE_LENGTH_DELIMITED) local_EncodeVarint = _EncodeVarint def EncodePackedField(write, value): write(tag_bytes) local_EncodeVarint(write, len(value) * value_size) for element in value: write(local_struct_pack(format, element)) return EncodePackedField elif is_repeated: tag_bytes = TagBytes(field_number, wire_type) def EncodeRepeatedField(write, value): for element in value: write(tag_bytes) write(local_struct_pack(format, element)) return EncodeRepeatedField else: tag_bytes = TagBytes(field_number, wire_type) def EncodeField(write, value): write(tag_bytes) return write(local_struct_pack(format, value)) return EncodeField return SpecificEncoder

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https://github.com/smilehao/xlua-framework/blob/a03801538be2b0e92d39332d445b22caca1ef61f/ConfigData/trunk/tools/protobuf-2.5.0/protobuf-2.5.0/python/google/protobuf/internal/encoder.py#L473-L508

smilehao/xlua-framework

a03801538be2b0e92d39332d445b22caca1ef61f

ConfigData/trunk/tools/protobuf-2.5.0/protobuf-2.5.0/python/build/lib/google/protobuf/service_reflection.py

python

_ServiceBuilder.BuildService

(self, cls)

Constructs the service class. Args: cls: The class that will be constructed.

Constructs the service class.

[ "Constructs", "the", "service", "class", "." ]

def BuildService(self, cls): """Constructs the service class. Args: cls: The class that will be constructed. """ # CallMethod needs to operate with an instance of the Service class. This # internal wrapper function exists only to be able to pass the service # instance to the method that does the real CallMethod work. def _WrapCallMethod(srvc, method_descriptor, rpc_controller, request, callback): return self._CallMethod(srvc, method_descriptor, rpc_controller, request, callback) self.cls = cls cls.CallMethod = _WrapCallMethod cls.GetDescriptor = staticmethod(lambda: self.descriptor) cls.GetDescriptor.__doc__ = "Returns the service descriptor." cls.GetRequestClass = self._GetRequestClass cls.GetResponseClass = self._GetResponseClass for method in self.descriptor.methods: setattr(cls, method.name, self._GenerateNonImplementedMethod(method))

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https://github.com/smilehao/xlua-framework/blob/a03801538be2b0e92d39332d445b22caca1ef61f/ConfigData/trunk/tools/protobuf-2.5.0/protobuf-2.5.0/python/build/lib/google/protobuf/service_reflection.py#L133-L154

verilog-to-routing/vtr-verilog-to-routing

d9719cf7374821156c3cee31d66991cb85578562

vtr_flow/scripts/python_libs/vtr/util.py

python

get_latest_run_number

(base_dir)

return run_number - 1

Returns the highest run number of all run directories with in base_dir

[ "Returns", "the", "highest", "run", "number", "of", "all", "run", "directories", "with", "in", "base_dir" ]

def get_latest_run_number(base_dir): """ Returns the highest run number of all run directories with in base_dir """ run_number = 1 run_dir = Path(base_dir) / run_dir_name(run_number) if not run_dir.exists(): # No existing run directories return None while run_dir.exists(): run_number += 1 run_dir = Path(base_dir) / run_dir_name(run_number) # Currently one-past the last existing run dir, # to get latest existing, subtract one return run_number - 1

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https://github.com/verilog-to-routing/vtr-verilog-to-routing/blob/d9719cf7374821156c3cee31d66991cb85578562/vtr_flow/scripts/python_libs/vtr/util.py#L491-L508

wxWidgets/wxPython-Classic

19571e1ae65f1ac445f5491474121998c97a1bf0

src/msw/stc.py

python

StyledTextCtrl.StyleResetDefault

(*args, **kwargs)

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

StyleResetDefault(self) Reset the default style to its state at startup

StyleResetDefault(self)

[ "StyleResetDefault", "(", "self", ")" ]

def StyleResetDefault(*args, **kwargs): """ StyleResetDefault(self) Reset the default style to its state at startup """ return _stc.StyledTextCtrl_StyleResetDefault(*args, **kwargs)

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https://github.com/wxWidgets/wxPython-Classic/blob/19571e1ae65f1ac445f5491474121998c97a1bf0/src/msw/stc.py#L2570-L2576

apiaryio/snowcrash

b5b39faa85f88ee17459edf39fdc6fe4fc70d2e3

tools/gyp/pylib/gyp/generator/ninja.py

python

NinjaWriter.WriteSourcesForArch

(self, ninja_file, config_name, config, sources, predepends, precompiled_header, spec, arch=None)

return outputs

Write build rules to compile all of |sources|.

[ "Write", "build", "rules", "to", "compile", "all", "of", "|sources|", "." ]

def WriteSourcesForArch(self, ninja_file, config_name, config, sources, predepends, precompiled_header, spec, arch=None): """Write build rules to compile all of |sources|.""" extra_defines = [] if self.flavor == 'mac': cflags = self.xcode_settings.GetCflags(config_name, arch=arch) cflags_c = self.xcode_settings.GetCflagsC(config_name) cflags_cc = self.xcode_settings.GetCflagsCC(config_name) cflags_objc = ['$cflags_c'] + \ self.xcode_settings.GetCflagsObjC(config_name) cflags_objcc = ['$cflags_cc'] + \ self.xcode_settings.GetCflagsObjCC(config_name) elif self.flavor == 'win': asmflags = self.msvs_settings.GetAsmflags(config_name) cflags = self.msvs_settings.GetCflags(config_name) cflags_c = self.msvs_settings.GetCflagsC(config_name) cflags_cc = self.msvs_settings.GetCflagsCC(config_name) extra_defines = self.msvs_settings.GetComputedDefines(config_name) # See comment at cc_command for why there's two .pdb files. pdbpath_c = pdbpath_cc = self.msvs_settings.GetCompilerPdbName( config_name, self.ExpandSpecial) if not pdbpath_c: obj = 'obj' if self.toolset != 'target': obj += '.' + self.toolset pdbpath = os.path.normpath(os.path.join(obj, self.base_dir, self.name)) pdbpath_c = pdbpath + '.c.pdb' pdbpath_cc = pdbpath + '.cc.pdb' self.WriteVariableList(ninja_file, 'pdbname_c', [pdbpath_c]) self.WriteVariableList(ninja_file, 'pdbname_cc', [pdbpath_cc]) self.WriteVariableList(ninja_file, 'pchprefix', [self.name]) else: cflags = config.get('cflags', []) cflags_c = config.get('cflags_c', []) cflags_cc = config.get('cflags_cc', []) # Respect environment variables related to build, but target-specific # flags can still override them. if self.toolset == 'target': cflags_c = (os.environ.get('CPPFLAGS', '').split() + os.environ.get('CFLAGS', '').split() + cflags_c) cflags_cc = (os.environ.get('CPPFLAGS', '').split() + os.environ.get('CXXFLAGS', '').split() + cflags_cc) elif self.toolset == 'host': cflags_c = (os.environ.get('CPPFLAGS_host', '').split() + os.environ.get('CFLAGS_host', '').split() + cflags_c) cflags_cc = (os.environ.get('CPPFLAGS_host', '').split() + os.environ.get('CXXFLAGS_host', '').split() + cflags_cc) defines = config.get('defines', []) + extra_defines self.WriteVariableList(ninja_file, 'defines', [Define(d, self.flavor) for d in defines]) if self.flavor == 'win': self.WriteVariableList(ninja_file, 'asmflags', map(self.ExpandSpecial, asmflags)) self.WriteVariableList(ninja_file, 'rcflags', [QuoteShellArgument(self.ExpandSpecial(f), self.flavor) for f in self.msvs_settings.GetRcflags(config_name, self.GypPathToNinja)]) include_dirs = config.get('include_dirs', []) env = self.GetToolchainEnv() if self.flavor == 'win': include_dirs = self.msvs_settings.AdjustIncludeDirs(include_dirs, config_name) self.WriteVariableList(ninja_file, 'includes', [QuoteShellArgument('-I' + self.GypPathToNinja(i, env), self.flavor) for i in include_dirs]) if self.flavor == 'win': midl_include_dirs = config.get('midl_include_dirs', []) midl_include_dirs = self.msvs_settings.AdjustMidlIncludeDirs( midl_include_dirs, config_name) self.WriteVariableList(ninja_file, 'midl_includes', [QuoteShellArgument('-I' + self.GypPathToNinja(i, env), self.flavor) for i in midl_include_dirs]) pch_commands = precompiled_header.GetPchBuildCommands(arch) if self.flavor == 'mac': # Most targets use no precompiled headers, so only write these if needed. for ext, var in [('c', 'cflags_pch_c'), ('cc', 'cflags_pch_cc'), ('m', 'cflags_pch_objc'), ('mm', 'cflags_pch_objcc')]: include = precompiled_header.GetInclude(ext, arch) if include: ninja_file.variable(var, include) arflags = config.get('arflags', []) self.WriteVariableList(ninja_file, 'cflags', map(self.ExpandSpecial, cflags)) self.WriteVariableList(ninja_file, 'cflags_c', map(self.ExpandSpecial, cflags_c)) self.WriteVariableList(ninja_file, 'cflags_cc', map(self.ExpandSpecial, cflags_cc)) if self.flavor == 'mac': self.WriteVariableList(ninja_file, 'cflags_objc', map(self.ExpandSpecial, cflags_objc)) self.WriteVariableList(ninja_file, 'cflags_objcc', map(self.ExpandSpecial, cflags_objcc)) self.WriteVariableList(ninja_file, 'arflags', map(self.ExpandSpecial, arflags)) ninja_file.newline() outputs = [] has_rc_source = False for source in sources: filename, ext = os.path.splitext(source) ext = ext[1:] obj_ext = self.obj_ext if ext in ('cc', 'cpp', 'cxx'): command = 'cxx' self.uses_cpp = True elif ext == 'c' or (ext == 'S' and self.flavor != 'win'): command = 'cc' elif ext == 's' and self.flavor != 'win': # Doesn't generate .o.d files. command = 'cc_s' elif (self.flavor == 'win' and ext == 'asm' and not self.msvs_settings.HasExplicitAsmRules(spec)): command = 'asm' # Add the _asm suffix as msvs is capable of handling .cc and # .asm files of the same name without collision. obj_ext = '_asm.obj' elif self.flavor == 'mac' and ext == 'm': command = 'objc' elif self.flavor == 'mac' and ext == 'mm': command = 'objcxx' self.uses_cpp = True elif self.flavor == 'win' and ext == 'rc': command = 'rc' obj_ext = '.res' has_rc_source = True else: # Ignore unhandled extensions. continue input = self.GypPathToNinja(source) output = self.GypPathToUniqueOutput(filename + obj_ext) if arch is not None: output = AddArch(output, arch) implicit = precompiled_header.GetObjDependencies([input], [output], arch) variables = [] if self.flavor == 'win': variables, output, implicit = precompiled_header.GetFlagsModifications( input, output, implicit, command, cflags_c, cflags_cc, self.ExpandSpecial) ninja_file.build(output, command, input, implicit=[gch for _, _, gch in implicit], order_only=predepends, variables=variables) outputs.append(output) if has_rc_source: resource_include_dirs = config.get('resource_include_dirs', include_dirs) self.WriteVariableList(ninja_file, 'resource_includes', [QuoteShellArgument('-I' + self.GypPathToNinja(i, env), self.flavor) for i in resource_include_dirs]) self.WritePchTargets(ninja_file, pch_commands) ninja_file.newline() return outputs

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"obj_ext", ")", "if", "arch", "is", "not", "None", ":", "output", "=", "AddArch", "(", "output", ",", "arch", ")", "implicit", "=", "precompiled_header", ".", "GetObjDependencies", "(", "[", "input", "]", ",", "[", "output", "]", ",", "arch", ")", "variables", "=", "[", "]", "if", "self", ".", "flavor", "==", "'win'", ":", "variables", ",", "output", ",", "implicit", "=", "precompiled_header", ".", "GetFlagsModifications", "(", "input", ",", "output", ",", "implicit", ",", "command", ",", "cflags_c", ",", "cflags_cc", ",", "self", ".", "ExpandSpecial", ")", "ninja_file", ".", "build", "(", "output", ",", "command", ",", "input", ",", "implicit", "=", "[", "gch", "for", "_", ",", "_", ",", "gch", "in", "implicit", "]", ",", "order_only", "=", "predepends", ",", "variables", "=", "variables", ")", "outputs", ".", "append", "(", "output", ")", "if", "has_rc_source", ":", "resource_include_dirs", "=", "config", ".", "get", "(", "'resource_include_dirs'", ",", "include_dirs", ")", "self", ".", "WriteVariableList", "(", "ninja_file", ",", "'resource_includes'", ",", "[", "QuoteShellArgument", "(", "'-I'", "+", "self", ".", "GypPathToNinja", "(", "i", ",", "env", ")", ",", "self", ".", "flavor", ")", "for", "i", "in", "resource_include_dirs", "]", ")", "self", ".", "WritePchTargets", "(", "ninja_file", ",", "pch_commands", ")", "ninja_file", ".", "newline", "(", ")", "return", "outputs" ]

https://github.com/apiaryio/snowcrash/blob/b5b39faa85f88ee17459edf39fdc6fe4fc70d2e3/tools/gyp/pylib/gyp/generator/ninja.py#L891-L1049

wxWidgets/wxPython-Classic

19571e1ae65f1ac445f5491474121998c97a1bf0

src/gtk/_gdi.py

python

ImageList.GetSize

(*args, **kwargs)

return _gdi_.ImageList_GetSize(*args, **kwargs)

GetSize(index) -> (width,height)

[ "GetSize", "(", "index", ")", "-", ">", "(", "width", "height", ")" ]

def GetSize(*args, **kwargs): """GetSize(index) -> (width,height)""" return _gdi_.ImageList_GetSize(*args, **kwargs)

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https://github.com/wxWidgets/wxPython-Classic/blob/19571e1ae65f1ac445f5491474121998c97a1bf0/src/gtk/_gdi.py#L6776-L6778

catboost/catboost

167f64f237114a4d10b2b4ee42adb4569137debe

contrib/python/protobuf/py3/google/protobuf/text_format.py

python

Tokenizer.ConsumeString

(self)

Consumes a string value. Returns: The string parsed. Raises: ParseError: If a string value couldn't be consumed.

Consumes a string value.

[ "Consumes", "a", "string", "value", "." ]

def ConsumeString(self): """Consumes a string value. Returns: The string parsed. Raises: ParseError: If a string value couldn't be consumed. """ the_bytes = self.ConsumeByteString() try: return six.text_type(the_bytes, 'utf-8') except UnicodeDecodeError as e: raise self._StringParseError(e)

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https://github.com/catboost/catboost/blob/167f64f237114a4d10b2b4ee42adb4569137debe/contrib/python/protobuf/py3/google/protobuf/text_format.py#L1468-L1481

asLody/whale

6a661b27cc4cf83b7b5a3b02451597ee1ac7f264

whale/cpplint.py

python

ResetNolintSuppressions

()

Resets the set of NOLINT suppressions to empty.

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def ResetNolintSuppressions(): """Resets the set of NOLINT suppressions to empty.""" _error_suppressions.clear() _global_error_suppressions.clear()

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https://github.com/asLody/whale/blob/6a661b27cc4cf83b7b5a3b02451597ee1ac7f264/whale/cpplint.py#L633-L636

PaddlePaddle/Paddle

1252f4bb3e574df80aa6d18c7ddae1b3a90bd81c

python/paddle/fluid/transpiler/distribute_transpiler.py

python

DistributeTranspiler.get_startup_program

(self, endpoint, pserver_program=None, startup_program=None)

return s_prog

**Deprecated** Get startup program for current parameter server. Modify operator input variables if there are variables that were split to several blocks. Args: endpoint (str): current pserver endpoint. pserver_program (Program): deprecated, call get_pserver_program first. startup_program (Program): deprecated, should pass startup_program when initializing Returns: Program: parameter server side startup program. Examples: .. code-block:: python pserver_endpoints = "192.168.0.1:6174,192.168.0.2:6174" trainer_endpoints = "192.168.0.1:6174,192.168.0.2:6174" current_endpoint = "192.168.0.1:6174" trainer_id = 0 trainers = 4 t = fluid.DistributeTranspiler() t.transpile(trainer_id, pservers=pserver_endpoints, trainers=trainers) pserver_program = t.get_pserver_program(current_endpoint) pserver_startup_program = t.get_startup_program(current_endpoint, pserver_program)

**Deprecated**

[ "**", "Deprecated", "**" ]

def get_startup_program(self, endpoint, pserver_program=None, startup_program=None): """ **Deprecated** Get startup program for current parameter server. Modify operator input variables if there are variables that were split to several blocks. Args: endpoint (str): current pserver endpoint. pserver_program (Program): deprecated, call get_pserver_program first. startup_program (Program): deprecated, should pass startup_program when initializing Returns: Program: parameter server side startup program. Examples: .. code-block:: python pserver_endpoints = "192.168.0.1:6174,192.168.0.2:6174" trainer_endpoints = "192.168.0.1:6174,192.168.0.2:6174" current_endpoint = "192.168.0.1:6174" trainer_id = 0 trainers = 4 t = fluid.DistributeTranspiler() t.transpile(trainer_id, pservers=pserver_endpoints, trainers=trainers) pserver_program = t.get_pserver_program(current_endpoint) pserver_startup_program = t.get_startup_program(current_endpoint, pserver_program) """ s_prog = Program() orig_s_prog = self.startup_program s_prog.random_seed = orig_s_prog.random_seed params = self.param_grad_ep_mapping[endpoint]["params"] def _get_splited_name_and_shape(varname): for idx, splited_param in enumerate(params): pname = splited_param.name if same_or_split_var(pname, varname) and varname != pname: return pname, splited_param.shape return "", [] # 1. create vars in pserver program to startup program pserver_vars = pserver_program.global_block().vars created_var_map = collections.OrderedDict() for _, var in six.iteritems(pserver_vars): tmpvar = s_prog.global_block()._clone_variable(var) created_var_map[var.name] = tmpvar # 2. rename op outputs for op in orig_s_prog.global_block().ops: new_outputs = collections.OrderedDict() # do not append startup op if var is not on this pserver op_on_pserver = False # TODO(gongwb): remove this line. if op.type not in ["recv", "fetch_barrier", "concat"]: for key in op.output_names: newname, _ = _get_splited_name_and_shape(op.output(key)[0]) if newname: op_on_pserver = True new_outputs[key] = created_var_map[newname] elif op.output(key)[0] in pserver_vars: op_on_pserver = True new_outputs[key] = pserver_vars[op.output(key)[0]] if op_on_pserver: # most startup program ops have no inputs new_inputs = self._get_input_map_from_op(pserver_vars, op) if op.type in [ "gaussian_random", "fill_constant", "uniform_random", "truncated_gaussian_random" ]: op._set_attr("shape", list(new_outputs["Out"].shape)) s_prog.global_block().append_op( type=op.type, inputs=new_inputs, outputs=new_outputs, attrs=op.all_attrs()) if self.config.enable_dc_asgd: for p, p_bak in self.param_bak_list: startup_param_var = s_prog.global_block().vars[p.name] startup_tmpvar = s_prog.global_block().vars[p_bak.name] # copy init random value to param_bak s_prog.global_block().append_op( type="assign", inputs={"X": startup_param_var}, outputs={"Out": startup_tmpvar}) return s_prog

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https://github.com/PaddlePaddle/Paddle/blob/1252f4bb3e574df80aa6d18c7ddae1b3a90bd81c/python/paddle/fluid/transpiler/distribute_transpiler.py#L1455-L1549

aws/lumberyard

f85344403c1c2e77ec8c75deb2c116e97b713217

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

python

_showwarnmsg

(msg)

Hook to write a warning to a file; replace if you like.

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def _showwarnmsg(msg): """Hook to write a warning to a file; replace if you like.""" try: sw = showwarning except NameError: pass else: if sw is not _showwarning_orig: # warnings.showwarning() was replaced if not callable(sw): raise TypeError("warnings.showwarning() must be set to a " "function or method") sw(msg.message, msg.category, msg.filename, msg.lineno, msg.file, msg.line) return _showwarnmsg_impl(msg)

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https://github.com/aws/lumberyard/blob/f85344403c1c2e77ec8c75deb2c116e97b713217/dev/Tools/Python/3.7.10/linux_x64/lib/python3.7/warnings.py#L96-L112

Xilinx/Vitis-AI

fc74d404563d9951b57245443c73bef389f3657f

tools/Vitis-AI-Quantizer/vai_q_tensorflow1.x/tensorflow/python/profiler/internal/flops_registry.py

python

_arg_max_flops

(graph, node)

return _reduction_op_flops(graph, node, reduce_flops=1, finalize_flops=0)

Compute flops for ArgMax operation.

[ "Compute", "flops", "for", "ArgMax", "operation", "." ]

def _arg_max_flops(graph, node): """Compute flops for ArgMax operation.""" # reduction - comparison, no finalization return _reduction_op_flops(graph, node, reduce_flops=1, finalize_flops=0)

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https://github.com/Xilinx/Vitis-AI/blob/fc74d404563d9951b57245443c73bef389f3657f/tools/Vitis-AI-Quantizer/vai_q_tensorflow1.x/tensorflow/python/profiler/internal/flops_registry.py#L267-L270

trilinos/Trilinos

6168be6dd51e35e1cd681e9c4b24433e709df140

packages/framework/pr_tools/trilinosprhelpers/jenkinsenv/EnvvarHelper.py

python

EnvvarHelper.get_envvar_str

(self, envvar_name, error_if_missing=False)

return output

Get the value of an environment variable if it exists and return it as a string. If the envvar does not exist, return None. Args: envvar_name (str): The environment variable name. error_if_missing (bool): If True then throw a KeyError if the envvar does not exist. If False, we return None if the envvar is missing. Default: False Returns: The value of the envvar as a string if it exists. If error_if_missing is false, we return `None` if the envvar is missing or we throw a KeyError if it's missing. Throws: KeyError: If error_is_missing is True and the envvar does not exist.

Get the value of an environment variable if it exists and return it as a string. If the envvar does not exist, return None.

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def get_envvar_str(self, envvar_name, error_if_missing=False): """ Get the value of an environment variable if it exists and return it as a string. If the envvar does not exist, return None. Args: envvar_name (str): The environment variable name. error_if_missing (bool): If True then throw a KeyError if the envvar does not exist. If False, we return None if the envvar is missing. Default: False Returns: The value of the envvar as a string if it exists. If error_if_missing is false, we return `None` if the envvar is missing or we throw a KeyError if it's missing. Throws: KeyError: If error_is_missing is True and the envvar does not exist. """ assert isinstance(envvar_name, str) assert isinstance(error_if_missing, bool) output = None if envvar_name in os.environ: output = str( os.environ[envvar_name] ) elif error_if_missing: raise KeyError("ERROR: Missing required envvar '{}'".format(envvar_name)) return output

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https://github.com/trilinos/Trilinos/blob/6168be6dd51e35e1cd681e9c4b24433e709df140/packages/framework/pr_tools/trilinosprhelpers/jenkinsenv/EnvvarHelper.py#L25-L52

hunterlew/mstar_deeplearning_project

3761624dcbd7d44af257200542d13d1444dc634a

classification/caffe/build/Release/pycaffe/caffe/io.py

python

Transformer.set_input_scale

(self, in_, scale)

Set the scale of preprocessed inputs s.t. the blob = blob * scale. N.B. input_scale is done AFTER mean subtraction and other preprocessing while raw_scale is done BEFORE. Parameters ---------- in_ : which input to assign this scale factor scale : scale coefficient

Set the scale of preprocessed inputs s.t. the blob = blob * scale. N.B. input_scale is done AFTER mean subtraction and other preprocessing while raw_scale is done BEFORE.

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def set_input_scale(self, in_, scale): """ Set the scale of preprocessed inputs s.t. the blob = blob * scale. N.B. input_scale is done AFTER mean subtraction and other preprocessing while raw_scale is done BEFORE. Parameters ---------- in_ : which input to assign this scale factor scale : scale coefficient """ self.__check_input(in_) self.input_scale[in_] = scale

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https://github.com/hunterlew/mstar_deeplearning_project/blob/3761624dcbd7d44af257200542d13d1444dc634a/classification/caffe/build/Release/pycaffe/caffe/io.py#L262-L274

google/earthenterprise

0fe84e29be470cd857e3a0e52e5d0afd5bb8cee9

earth_enterprise/src/server/wsgi/serve/publish/publish_manager_helper.py

python

PublishManagerHelper.__init__

(self)

Inits publish manager helper.

[ "Inits", "publish", "manager", "helper", "." ]

def __init__(self): """Inits publish manager helper.""" super(PublishManagerHelper, self).__init__() self._search_manager = search_manager.SearchManager()

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https://github.com/google/earthenterprise/blob/0fe84e29be470cd857e3a0e52e5d0afd5bb8cee9/earth_enterprise/src/server/wsgi/serve/publish/publish_manager_helper.py#L119-L122

miyosuda/TensorFlowAndroidMNIST

7b5a4603d2780a8a2834575706e9001977524007

jni-build/jni/include/tensorflow/contrib/distributions/python/ops/student_t.py

python

StudentT.entropy

(self, name="entropy")

The entropy of Student t distribution(s). Args: name: The name to give this op. Returns: entropy: tensor of dtype `dtype`, the entropy.

The entropy of Student t distribution(s).

[ "The", "entropy", "of", "Student", "t", "distribution", "(", "s", ")", "." ]

def entropy(self, name="entropy"): """The entropy of Student t distribution(s). Args: name: The name to give this op. Returns: entropy: tensor of dtype `dtype`, the entropy. """ with ops.name_scope(self.name): with ops.op_scope([self._df, self._sigma], name): u = array_ops.expand_dims(self._df + self._zeros(), -1) v = array_ops.expand_dims(self._ones(), -1) beta_arg = array_ops.concat(len(u.get_shape()) - 1, [u, v]) / 2 return ((self._df + 1) / 2 * (math_ops.digamma((self._df + 1) / 2) - math_ops.digamma(self._df / 2)) + math_ops.log(self._df) / 2 + special_math_ops.lbeta(beta_arg) + math_ops.log(self._sigma))

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https://github.com/miyosuda/TensorFlowAndroidMNIST/blob/7b5a4603d2780a8a2834575706e9001977524007/jni-build/jni/include/tensorflow/contrib/distributions/python/ops/student_t.py#L314-L332

BlzFans/wke

b0fa21158312e40c5fbd84682d643022b6c34a93

cygwin/lib/python2.6/lib2to3/fixer_util.py

python

find_root

(node)

return node

Find the top level namespace.

[ "Find", "the", "top", "level", "namespace", "." ]

def find_root(node): """Find the top level namespace.""" # Scamper up to the top level namespace while node.type != syms.file_input: assert node.parent, "Tree is insane! root found before "\ "file_input node was found." node = node.parent return node

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https://github.com/BlzFans/wke/blob/b0fa21158312e40c5fbd84682d643022b6c34a93/cygwin/lib/python2.6/lib2to3/fixer_util.py#L261-L268

facebook/fboss

60063db1df37c2ec0e7dcd0955c54885ea9bf7f0

fboss/py/fboss/cli/cli.py

python

RouteCli.route

()

Show route information

[ "Show", "route", "information" ]

def route(): """Show route information""" pass

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https://github.com/facebook/fboss/blob/60063db1df37c2ec0e7dcd0955c54885ea9bf7f0/fboss/py/fboss/cli/cli.py#L547-L549

twtygqyy/caffe-augmentation

c76600d247e5132fa5bd89d87bb5df458341fa84

scripts/cpp_lint.py

python

CheckLanguage

(filename, clean_lines, linenum, file_extension, include_state, nesting_state, error)

Checks rules from the 'C++ language rules' section of cppguide.html. Some of these rules are hard to test (function overloading, using uint32 inappropriately), but we do the best we can. Args: filename: The name of the current file. clean_lines: A CleansedLines instance containing the file. linenum: The number of the line to check. file_extension: The extension (without the dot) of the filename. include_state: An _IncludeState instance in which the headers are inserted. nesting_state: A _NestingState instance which maintains information about the current stack of nested blocks being parsed. error: The function to call with any errors found.

Checks rules from the 'C++ language rules' section of cppguide.html.

[ "Checks", "rules", "from", "the", "C", "++", "language", "rules", "section", "of", "cppguide", ".", "html", "." ]

def CheckLanguage(filename, clean_lines, linenum, file_extension, include_state, nesting_state, error): """Checks rules from the 'C++ language rules' section of cppguide.html. Some of these rules are hard to test (function overloading, using uint32 inappropriately), but we do the best we can. Args: filename: The name of the current file. clean_lines: A CleansedLines instance containing the file. linenum: The number of the line to check. file_extension: The extension (without the dot) of the filename. include_state: An _IncludeState instance in which the headers are inserted. nesting_state: A _NestingState instance which maintains information about the current stack of nested blocks being parsed. error: The function to call with any errors found. """ # If the line is empty or consists of entirely a comment, no need to # check it. line = clean_lines.elided[linenum] if not line: return match = _RE_PATTERN_INCLUDE.search(line) if match: CheckIncludeLine(filename, clean_lines, linenum, include_state, error) return # Reset include state across preprocessor directives. This is meant # to silence warnings for conditional includes. if Match(r'^\s*#\s*(?:ifdef|elif|else|endif)\b', line): include_state.ResetSection() # Make Windows paths like Unix. fullname = os.path.abspath(filename).replace('\\', '/') # TODO(unknown): figure out if they're using default arguments in fn proto. # Check to see if they're using an conversion function cast. # I just try to capture the most common basic types, though there are more. # Parameterless conversion functions, such as bool(), are allowed as they are # probably a member operator declaration or default constructor. match = Search( r'(\bnew\s+)?\b' # Grab 'new' operator, if it's there r'(int|float|double|bool|char|int32|uint32|int64|uint64)' r'($[^)].*)', line) if match: matched_new = match.group(1) matched_type = match.group(2) matched_funcptr = match.group(3) # gMock methods are defined using some variant of MOCK_METHODx(name, type) # where type may be float(), int(string), etc. Without context they are # virtually indistinguishable from int(x) casts. Likewise, gMock's # MockCallback takes a template parameter of the form return_type(arg_type), # which looks much like the cast we're trying to detect. # # std::function<> wrapper has a similar problem. # # Return types for function pointers also look like casts if they # don't have an extra space. if (matched_new is None and # If new operator, then this isn't a cast not (Match(r'^\s*MOCK_(CONST_)?METHOD\d+(_T)?\(', line) or Search(r'\bMockCallback<.*>', line) or Search(r'\bstd::function<.*>', line)) and not (matched_funcptr and Match(r'\((?:[^() ]+::\s*\*\s*)?[^() ]+$\s*$', matched_funcptr))): # Try a bit harder to catch gmock lines: the only place where # something looks like an old-style cast is where we declare the # return type of the mocked method, and the only time when we # are missing context is if MOCK_METHOD was split across # multiple lines. The missing MOCK_METHOD is usually one or two # lines back, so scan back one or two lines. # # It's not possible for gmock macros to appear in the first 2 # lines, since the class head + section name takes up 2 lines. if (linenum < 2 or not (Match(r'^\s*MOCK_(?:CONST_)?METHOD\d+(?:_T)?\((?:\S+,)?\s*$', clean_lines.elided[linenum - 1]) or Match(r'^\s*MOCK_(?:CONST_)?METHOD\d+(?:_T)?\(\s*$', clean_lines.elided[linenum - 2]))): error(filename, linenum, 'readability/casting', 4, 'Using deprecated casting style. ' 'Use static_cast<%s>(...) instead' % matched_type) CheckCStyleCast(filename, linenum, line, clean_lines.raw_lines[linenum], 'static_cast', r'\((int|float|double|bool|char|u?int(16|32|64))$', error) # This doesn't catch all cases. Consider (const char * const)"hello". # # (char *) "foo" should always be a const_cast (reinterpret_cast won't # compile). if CheckCStyleCast(filename, linenum, line, clean_lines.raw_lines[linenum], 'const_cast', r'$(char\s?\*+\s?)$\s*"', error): pass else: # Check pointer casts for other than string constants CheckCStyleCast(filename, linenum, line, clean_lines.raw_lines[linenum], 'reinterpret_cast', r'$(\w+\s?\*+\s?)$', error) # In addition, we look for people taking the address of a cast. This # is dangerous -- casts can assign to temporaries, so the pointer doesn't # point where you think. match = Search( r'(?:&$([^)]+)$[\w(])|' r'(?:&(static|dynamic|down|reinterpret)_cast\b)', line) if match and match.group(1) != '*': error(filename, linenum, 'runtime/casting', 4, ('Are you taking an address of a cast? ' 'This is dangerous: could be a temp var. ' 'Take the address before doing the cast, rather than after')) # Create an extended_line, which is the concatenation of the current and # next lines, for more effective checking of code that may span more than one # line. if linenum + 1 < clean_lines.NumLines(): extended_line = line + clean_lines.elided[linenum + 1] else: extended_line = line # Check for people declaring static/global STL strings at the top level. # This is dangerous because the C++ language does not guarantee that # globals with constructors are initialized before the first access. match = Match( r'((?:|static +)(?:|const +))string +([a-zA-Z0-9_:]+)\b(.*)', line) # Make sure it's not a function. # Function template specialization looks like: "string foo<Type>(...". # Class template definitions look like: "string Foo<Type>::Method(...". # # Also ignore things that look like operators. These are matched separately # because operator names cross non-word boundaries. If we change the pattern # above, we would decrease the accuracy of matching identifiers. if (match and not Search(r'\boperator\W', line) and not Match(r'\s*(<.*>)?(::[a-zA-Z0-9_]+)?\s*$([^"]|$)', match.group(3))): error(filename, linenum, 'runtime/string', 4, 'For a static/global string constant, use a C style string instead: ' '"%schar %s[]".' % (match.group(1), match.group(2))) if Search(r'\b([A-Za-z0-9_]*_)\(\1$', line): error(filename, linenum, 'runtime/init', 4, 'You seem to be initializing a member variable with itself.') if file_extension == 'h': # TODO(unknown): check that 1-arg constructors are explicit. # How to tell it's a constructor? # (handled in CheckForNonStandardConstructs for now) # TODO(unknown): check that classes have DISALLOW_EVIL_CONSTRUCTORS # (level 1 error) pass # Check if people are using the verboten C basic types. The only exception # we regularly allow is "unsigned short port" for port. if Search(r'\bshort port\b', line): if not Search(r'\bunsigned short port\b', line): error(filename, linenum, 'runtime/int', 4, 'Use "unsigned short" for ports, not "short"') else: match = Search(r'\b(short|long(?! +double)|long long)\b', line) if match: error(filename, linenum, 'runtime/int', 4, 'Use int16/int64/etc, rather than the C type %s' % match.group(1)) # When snprintf is used, the second argument shouldn't be a literal. match = Search(r'snprintf\s*$([^,]*),\s*([0-9]*)\s*,', line) if match and match.group(2) != '0': # If 2nd arg is zero, snprintf is used to calculate size. error(filename, linenum, 'runtime/printf', 3, 'If you can, use sizeof(%s) instead of %s as the 2nd arg ' 'to snprintf.' % (match.group(1), match.group(2))) # Check if some verboten C functions are being used. if Search(r'\bsprintf\b', line): error(filename, linenum, 'runtime/printf', 5, 'Never use sprintf. Use snprintf instead.') match = Search(r'\b(strcpy|strcat)\b', line) if match: error(filename, linenum, 'runtime/printf', 4, 'Almost always, snprintf is better than %s' % match.group(1)) # Check if some verboten operator overloading is going on # TODO(unknown): catch out-of-line unary operator&: # class X {}; # int operator&(const X& x) { return 42; } // unary operator& # The trick is it's hard to tell apart from binary operator&: # class Y { int operator&(const Y& x) { return 23; } }; // binary operator& if Search(r'\boperator\s*&\s*\(\s*$', line): error(filename, linenum, 'runtime/operator', 4, 'Unary operator& is dangerous. Do not use it.') # Check for suspicious usage of "if" like # } if (a == b) { if Search(r'\}\s*if\s*\(', line): error(filename, linenum, 'readability/braces', 4, 'Did you mean "else if"? If not, start a new line for "if".') # Check for potential format string bugs like printf(foo). # We constrain the pattern not to pick things like DocidForPrintf(foo). # Not perfect but it can catch printf(foo.c_str()) and printf(foo->c_str()) # TODO(sugawarayu): Catch the following case. Need to change the calling # convention of the whole function to process multiple line to handle it. # printf( # boy_this_is_a_really_long_variable_that_cannot_fit_on_the_prev_line); printf_args = _GetTextInside(line, r'(?i)\b(string)?printf\s*$') if printf_args: match = Match(r'([\w.\->()]+)$', printf_args) if match and match.group(1) != '__VA_ARGS__': function_name = re.search(r'\b((?:string)?printf)\s*\(', line, re.I).group(1) error(filename, linenum, 'runtime/printf', 4, 'Potential format string bug. Do %s("%%s", %s) instead.' % (function_name, match.group(1))) # Check for potential memset bugs like memset(buf, sizeof(buf), 0). match = Search(r'memset\s*\(([^,]*),\s*([^,]*),\s*0\s*$', line) if match and not Match(r"^''|-?[0-9]+|0x[0-9A-Fa-f]$", match.group(2)): error(filename, linenum, 'runtime/memset', 4, 'Did you mean "memset(%s, 0, %s)"?' % (match.group(1), match.group(2))) if Search(r'\busing namespace\b', line): error(filename, linenum, 'build/namespaces', 5, 'Do not use namespace using-directives. ' 'Use using-declarations instead.') # Detect variable-length arrays. match = Match(r'\s*(.+::)?(\w+) [a-z]\w*\[(.+)];', line) if (match and match.group(2) != 'return' and match.group(2) != 'delete' and match.group(3).find(']') == -1): # Split the size using space and arithmetic operators as delimiters. # If any of the resulting tokens are not compile time constants then # report the error. tokens = re.split(r'\s|\+|\-|\*|\/|<<|>>]', match.group(3)) is_const = True skip_next = False for tok in tokens: if skip_next: skip_next = False continue if Search(r'sizeof$.+$', tok): continue if Search(r'arraysize$\w+$', tok): continue tok = tok.lstrip('(') tok = tok.rstrip(')') if not tok: continue if Match(r'\d+', tok): continue if Match(r'0[xX][0-9a-fA-F]+', tok): continue if Match(r'k[A-Z0-9]\w*', tok): continue if Match(r'(.+::)?k[A-Z0-9]\w*', tok): continue if Match(r'(.+::)?[A-Z][A-Z0-9_]*', tok): continue # A catch all for tricky sizeof cases, including 'sizeof expression', # 'sizeof(*type)', 'sizeof(const type)', 'sizeof(struct StructName)' # requires skipping the next token because we split on ' ' and '*'. if tok.startswith('sizeof'): skip_next = True continue is_const = False break if not is_const: error(filename, linenum, 'runtime/arrays', 1, 'Do not use variable-length arrays. Use an appropriately named ' "('k' followed by CamelCase) compile-time constant for the size.") # If DISALLOW_EVIL_CONSTRUCTORS, DISALLOW_COPY_AND_ASSIGN, or # DISALLOW_IMPLICIT_CONSTRUCTORS is present, then it should be the last thing # in the class declaration. match = Match( (r'\s*' r'(DISALLOW_(EVIL_CONSTRUCTORS|COPY_AND_ASSIGN|IMPLICIT_CONSTRUCTORS))' r'$.*$;$'), line) if match and linenum + 1 < clean_lines.NumLines(): next_line = clean_lines.elided[linenum + 1] # We allow some, but not all, declarations of variables to be present # in the statement that defines the class. The [\w\*,\s]* fragment of # the regular expression below allows users to declare instances of # the class or pointers to instances, but not less common types such # as function pointers or arrays. It's a tradeoff between allowing # reasonable code and avoiding trying to parse more C++ using regexps. if not Search(r'^\s*}[\w\*,\s]*;', next_line): error(filename, linenum, 'readability/constructors', 3, match.group(1) + ' should be the last thing in the class') # Check for use of unnamed namespaces in header files. Registration # macros are typically OK, so we allow use of "namespace {" on lines # that end with backslashes. if (file_extension == 'h' and Search(r'\bnamespace\s*{', line) and line[-1] != '\\'): error(filename, linenum, 'build/namespaces', 4, 'Do not use unnamed namespaces in header files. See ' 'http://google-styleguide.googlecode.com/svn/trunk/cppguide.xml#Namespaces' ' for more information.')

[ "def", "CheckLanguage", "(", "filename", ",", "clean_lines", ",", "linenum", ",", "file_extension", ",", "include_state", ",", "nesting_state", ",", "error", ")", ":", "# If the line is empty or consists of entirely a comment, no need to", "# check it.", "line", "=", "clean_lines", ".", "elided", "[", "linenum", "]", "if", "not", "line", ":", "return", "match", "=", "_RE_PATTERN_INCLUDE", ".", "search", "(", "line", ")", "if", "match", ":", "CheckIncludeLine", "(", "filename", ",", "clean_lines", ",", "linenum", ",", "include_state", ",", "error", ")", "return", "# Reset include state across preprocessor directives. This is meant", "# to silence warnings for conditional includes.", "if", "Match", "(", "r'^\\s*#\\s*(?:ifdef|elif|else|endif)\\b'", ",", "line", ")", ":", "include_state", ".", "ResetSection", "(", ")", "# Make Windows paths like Unix.", "fullname", "=", "os", ".", "path", ".", "abspath", "(", "filename", ")", ".", "replace", "(", "'\\\\'", ",", "'/'", ")", "# TODO(unknown): figure out if they're using default arguments in fn proto.", "# Check to see if they're using an conversion function cast.", "# I just try to capture the most common basic types, though there are more.", "# Parameterless conversion functions, such as bool(), are allowed as they are", "# probably a member operator declaration or default constructor.", "match", "=", "Search", "(", "r'(\\bnew\\s+)?\\b'", "# Grab 'new' operator, if it's there", "r'(int|float|double|bool|char|int32|uint32|int64|uint64)'", "r'(\\([^)].*)'", ",", "line", ")", "if", "match", ":", "matched_new", "=", "match", ".", "group", "(", "1", ")", "matched_type", "=", "match", ".", "group", "(", "2", ")", "matched_funcptr", "=", "match", ".", "group", "(", "3", ")", "# gMock methods are defined using some variant of MOCK_METHODx(name, type)", "# where type may be float(), int(string), etc. Without context they are", "# virtually indistinguishable from int(x) casts. Likewise, gMock's", "# MockCallback takes a template parameter of the form return_type(arg_type),", "# which looks much like the cast we're trying to detect.", "#", "# std::function<> wrapper has a similar problem.", "#", "# Return types for function pointers also look like casts if they", "# don't have an extra space.", "if", "(", "matched_new", "is", "None", "and", "# If new operator, then this isn't a cast", "not", "(", "Match", "(", "r'^\\s*MOCK_(CONST_)?METHOD\\d+(_T)?\$'", ",", "line", ")", "or", "Search", "(", "r'\\bMockCallback<.*>'", ",", "line", ")", "or", "Search", "(", "r'\\bstd::function<.*>'", ",", "line", ")", ")", "and", "not", "(", "matched_funcptr", "and", "Match", "(", "r'\\((?:[^() ]+::\\s*\\*\\s*)?[^() ]+\$\\s*\\('", ",", "matched_funcptr", ")", ")", ")", ":", "# Try a bit harder to catch gmock lines: the only place where", "# something looks like an old-style cast is where we declare the", "# return type of the mocked method, and the only time when we", "# are missing context is if MOCK_METHOD was split across", "# multiple lines. The missing MOCK_METHOD is usually one or two", "# lines back, so scan back one or two lines.", "#", "# It's not possible for gmock macros to appear in the first 2", "# lines, since the class head + section name takes up 2 lines.", "if", "(", "linenum", "<", "2", "or", "not", "(", "Match", "(", "r'^\\s*MOCK_(?:CONST_)?METHOD\\d+(?:_T)?\$(?:\\S+,)?\\s*$'", ",", "clean_lines", ".", "elided", "[", "linenum", "-", "1", "]", ")", "or", "Match", "(", "r'^\\s*MOCK_(?:CONST_)?METHOD\\d+(?:_T)?\\(\\s*$'", ",", "clean_lines", ".", "elided", "[", "linenum", "-", "2", "]", ")", ")", ")", ":", "error", "(", "filename", ",", "linenum", ",", "'readability/casting'", ",", "4", ",", "'Using deprecated casting style. '", "'Use static_cast<%s>(...) instead'", "%", "matched_type", ")", "CheckCStyleCast", "(", "filename", ",", "linenum", ",", "line", ",", "clean_lines", ".", "raw_lines", "[", "linenum", "]", ",", "'static_cast'", ",", "r'\\((int|float|double|bool|char|u?int(16|32|64))\$'", ",", "error", ")", "# This doesn't catch all cases. Consider (const char * const)\"hello\".", "#", "# (char *) \"foo\" should always be a const_cast (reinterpret_cast won't", "# compile).", "if", "CheckCStyleCast", "(", "filename", ",", "linenum", ",", "line", ",", "clean_lines", ".", "raw_lines", "[", "linenum", "]", ",", "'const_cast'", ",", "r'\$(char\\s?\\*+\\s?)\$\\s*\"'", ",", "error", ")", ":", "pass", "else", ":", "# Check pointer casts for other than string constants", "CheckCStyleCast", "(", "filename", ",", "linenum", ",", "line", ",", "clean_lines", ".", "raw_lines", "[", "linenum", "]", ",", "'reinterpret_cast'", ",", "r'\$(\\w+\\s?\\*+\\s?)\$'", ",", "error", ")", "# In addition, we look for people taking the address of a cast. This", "# is dangerous -- casts can assign to temporaries, so the pointer doesn't", "# point where you think.", "match", "=", "Search", "(", "r'(?:&\$([^)]+)\$[\\w(])|'", "r'(?:&(static|dynamic|down|reinterpret)_cast\\b)'", ",", "line", ")", "if", "match", "and", "match", ".", "group", "(", "1", ")", "!=", "'*'", ":", "error", "(", "filename", ",", "linenum", ",", "'runtime/casting'", ",", "4", ",", "(", "'Are you taking an address of a cast? '", "'This is dangerous: could be a temp var. '", "'Take the address before doing the cast, rather than after'", ")", ")", "# Create an extended_line, which is the concatenation of the current and", "# next lines, for more effective checking of code that may span more than one", "# line.", "if", "linenum", "+", "1", "<", "clean_lines", ".", "NumLines", "(", ")", ":", "extended_line", "=", "line", "+", "clean_lines", ".", "elided", "[", "linenum", "+", "1", "]", "else", ":", "extended_line", "=", "line", "# Check for people declaring static/global STL strings at the top level.", "# This is dangerous because the C++ language does not guarantee that", "# globals with constructors are initialized before the first access.", "match", "=", "Match", "(", "r'((?:|static +)(?:|const +))string +([a-zA-Z0-9_:]+)\\b(.*)'", ",", "line", ")", "# Make sure it's not a function.", "# Function template specialization looks like: \"string foo<Type>(...\".", "# Class template definitions look like: \"string Foo<Type>::Method(...\".", "#", "# Also ignore things that look like operators. These are matched separately", "# because operator names cross non-word boundaries. If we change the pattern", "# above, we would decrease the accuracy of matching identifiers.", "if", "(", "match", "and", "not", "Search", "(", "r'\\boperator\\W'", ",", "line", ")", "and", "not", "Match", "(", "r'\\s*(<.*>)?(::[a-zA-Z0-9_]+)?\\s*\$([^\"]|$)'", ",", "match", ".", "group", "(", "3", ")", ")", ")", ":", "error", "(", "filename", ",", "linenum", ",", "'runtime/string'", ",", "4", ",", "'For a static/global string constant, use a C style string instead: '", "'\"%schar %s[]\".'", "%", "(", "match", ".", "group", "(", "1", ")", ",", "match", ".", "group", "(", "2", ")", ")", ")", "if", "Search", "(", "r'\\b([A-Za-z0-9_]*_)\\(\\1\$'", ",", "line", ")", ":", "error", "(", "filename", ",", "linenum", ",", "'runtime/init'", ",", "4", ",", "'You seem to be initializing a member variable with itself.'", ")", "if", "file_extension", "==", "'h'", ":", "# TODO(unknown): check that 1-arg constructors are explicit.", "# How to tell it's a constructor?", "# (handled in CheckForNonStandardConstructs for now)", "# TODO(unknown): check that classes have DISALLOW_EVIL_CONSTRUCTORS", "# (level 1 error)", "pass", "# Check if people are using the verboten C basic types. The only exception", "# we regularly allow is \"unsigned short port\" for port.", "if", "Search", "(", "r'\\bshort port\\b'", ",", "line", ")", ":", "if", "not", "Search", "(", "r'\\bunsigned short port\\b'", ",", "line", ")", ":", "error", "(", "filename", ",", "linenum", ",", "'runtime/int'", ",", "4", ",", "'Use \"unsigned short\" for ports, not \"short\"'", ")", "else", ":", "match", "=", "Search", "(", "r'\\b(short|long(?! +double)|long long)\\b'", ",", "line", ")", "if", "match", ":", "error", "(", "filename", ",", "linenum", ",", "'runtime/int'", ",", "4", ",", "'Use int16/int64/etc, rather than the C type %s'", "%", "match", ".", "group", "(", "1", ")", ")", "# When snprintf is used, the second argument shouldn't be a literal.", "match", "=", "Search", "(", "r'snprintf\\s*\\(([^,]*),\\s*([0-9]*)\\s*,'", ",", "line", ")", "if", "match", "and", "match", ".", "group", "(", "2", ")", "!=", "'0'", ":", "# If 2nd arg is zero, snprintf is used to calculate size.", "error", "(", "filename", ",", "linenum", ",", "'runtime/printf'", ",", "3", ",", "'If you can, use sizeof(%s) instead of %s as the 2nd arg '", "'to snprintf.'", "%", "(", "match", ".", "group", "(", "1", ")", ",", "match", ".", "group", "(", "2", ")", ")", ")", "# Check if some verboten C functions are being used.", "if", "Search", "(", "r'\\bsprintf\\b'", ",", "line", ")", ":", "error", "(", "filename", ",", "linenum", ",", "'runtime/printf'", ",", "5", ",", "'Never use sprintf. Use snprintf instead.'", ")", "match", "=", "Search", "(", "r'\\b(strcpy|strcat)\\b'", ",", "line", ")", "if", "match", ":", "error", "(", "filename", ",", "linenum", ",", "'runtime/printf'", ",", "4", ",", "'Almost always, snprintf is better than %s'", "%", "match", ".", "group", "(", "1", ")", ")", "# Check if some verboten operator overloading is going on", "# TODO(unknown): catch out-of-line unary operator&:", "# class X {};", "# int operator&(const X& x) { return 42; } // unary operator&", "# The trick is it's hard to tell apart from binary operator&:", "# class Y { int operator&(const Y& x) { return 23; } }; // binary operator&", "if", "Search", "(", "r'\\boperator\\s*&\\s*\$\\s*\$'", ",", "line", ")", ":", "error", "(", "filename", ",", "linenum", ",", "'runtime/operator'", ",", "4", ",", "'Unary operator& is dangerous. Do not use it.'", ")", "# Check for suspicious usage of \"if\" like", "# } if (a == b) {", "if", "Search", "(", "r'\\}\\s*if\\s*\\('", ",", "line", ")", ":", "error", "(", "filename", ",", "linenum", ",", "'readability/braces'", ",", "4", ",", "'Did you mean \"else if\"? If not, start a new line for \"if\".'", ")", "# Check for potential format string bugs like printf(foo).", "# We constrain the pattern not to pick things like DocidForPrintf(foo).", "# Not perfect but it can catch printf(foo.c_str()) and printf(foo->c_str())", "# TODO(sugawarayu): Catch the following case. Need to change the calling", "# convention of the whole function to process multiple line to handle it.", "# printf(", "# boy_this_is_a_really_long_variable_that_cannot_fit_on_the_prev_line);", "printf_args", "=", "_GetTextInside", "(", "line", ",", "r'(?i)\\b(string)?printf\\s*\$'", ")", "if", "printf_args", ":", "match", "=", "Match", "(", "r'([\\w.\\->()]+)$'", ",", "printf_args", ")", "if", "match", "and", "match", ".", "group", "(", "1", ")", "!=", "'__VA_ARGS__'", ":", "function_name", "=", "re", ".", "search", "(", "r'\\b((?:string)?printf)\\s*\\('", ",", "line", ",", "re", ".", "I", ")", ".", "group", "(", "1", ")", "error", "(", "filename", ",", "linenum", ",", "'runtime/printf'", ",", "4", ",", "'Potential format string bug. Do %s(\"%%s\", %s) instead.'", "%", "(", "function_name", ",", "match", ".", "group", "(", "1", ")", ")", ")", "# Check for potential memset bugs like memset(buf, sizeof(buf), 0).", "match", "=", "Search", "(", "r'memset\\s*\\(([^,]*),\\s*([^,]*),\\s*0\\s*\$'", ",", "line", ")", "if", "match", "and", "not", "Match", "(", "r\"^''|-?[0-9]+|0x[0-9A-Fa-f]$\"", ",", "match", ".", "group", "(", "2", ")", ")", ":", "error", "(", "filename", ",", "linenum", ",", "'runtime/memset'", ",", "4", ",", "'Did you mean \"memset(%s, 0, %s)\"?'", "%", "(", "match", ".", "group", "(", "1", ")", ",", "match", ".", "group", "(", "2", ")", ")", ")", "if", "Search", "(", "r'\\busing namespace\\b'", ",", "line", ")", ":", "error", "(", "filename", ",", "linenum", ",", "'build/namespaces'", ",", "5", ",", "'Do not use namespace using-directives. '", "'Use using-declarations instead.'", ")", "# Detect variable-length arrays.", "match", "=", "Match", "(", "r'\\s*(.+::)?(\\w+) [a-z]\\w*\\[(.+)];'", ",", "line", ")", "if", "(", "match", "and", "match", ".", "group", "(", "2", ")", "!=", "'return'", "and", "match", ".", "group", "(", "2", ")", "!=", "'delete'", "and", "match", ".", "group", "(", "3", ")", ".", "find", "(", "']'", ")", "==", "-", "1", ")", ":", "# Split the size using space and arithmetic operators as delimiters.", "# If any of the resulting tokens are not compile time constants then", "# report the error.", "tokens", "=", "re", ".", "split", "(", "r'\\s|\\+|\\-|\\*|\\/|<<|>>]'", ",", "match", ".", "group", "(", "3", ")", ")", "is_const", "=", "True", "skip_next", "=", "False", "for", "tok", "in", "tokens", ":", "if", "skip_next", ":", "skip_next", "=", "False", "continue", "if", "Search", "(", "r'sizeof\$.+\$'", ",", "tok", ")", ":", "continue", "if", "Search", "(", "r'arraysize\$\\w+\$'", ",", "tok", ")", ":", "continue", "tok", "=", "tok", ".", "lstrip", "(", "'('", ")", "tok", "=", "tok", ".", "rstrip", "(", "')'", ")", "if", "not", "tok", ":", "continue", "if", "Match", "(", "r'\\d+'", ",", "tok", ")", ":", "continue", "if", "Match", "(", "r'0[xX][0-9a-fA-F]+'", ",", "tok", ")", ":", "continue", "if", "Match", "(", "r'k[A-Z0-9]\\w*'", ",", "tok", ")", ":", "continue", "if", "Match", "(", "r'(.+::)?k[A-Z0-9]\\w*'", ",", "tok", ")", ":", "continue", "if", "Match", "(", "r'(.+::)?[A-Z][A-Z0-9_]*'", ",", "tok", ")", ":", "continue", "# A catch all for tricky sizeof cases, including 'sizeof expression',", "# 'sizeof(*type)', 'sizeof(const type)', 'sizeof(struct StructName)'", "# requires skipping the next token because we split on ' ' and '*'.", "if", "tok", ".", "startswith", "(", "'sizeof'", ")", ":", "skip_next", "=", "True", "continue", "is_const", "=", "False", "break", "if", "not", "is_const", ":", "error", "(", "filename", ",", "linenum", ",", "'runtime/arrays'", ",", "1", ",", "'Do not use variable-length arrays. Use an appropriately named '", "\"('k' followed by CamelCase) compile-time constant for the size.\"", ")", "# If DISALLOW_EVIL_CONSTRUCTORS, DISALLOW_COPY_AND_ASSIGN, or", "# DISALLOW_IMPLICIT_CONSTRUCTORS is present, then it should be the last thing", "# in the class declaration.", "match", "=", "Match", "(", "(", "r'\\s*'", "r'(DISALLOW_(EVIL_CONSTRUCTORS|COPY_AND_ASSIGN|IMPLICIT_CONSTRUCTORS))'", "r'\$.*\$;$'", ")", ",", "line", ")", "if", "match", "and", "linenum", "+", "1", "<", "clean_lines", ".", "NumLines", "(", ")", ":", "next_line", "=", "clean_lines", ".", "elided", "[", "linenum", "+", "1", "]", "# We allow some, but not all, declarations of variables to be present", "# in the statement that defines the class. The [\\w\\*,\\s]* fragment of", "# the regular expression below allows users to declare instances of", "# the class or pointers to instances, but not less common types such", "# as function pointers or arrays. It's a tradeoff between allowing", "# reasonable code and avoiding trying to parse more C++ using regexps.", "if", "not", "Search", "(", "r'^\\s*}[\\w\\*,\\s]*;'", ",", "next_line", ")", ":", "error", "(", "filename", ",", "linenum", ",", "'readability/constructors'", ",", "3", ",", "match", ".", "group", "(", "1", ")", "+", "' should be the last thing in the class'", ")", "# Check for use of unnamed namespaces in header files. Registration", "# macros are typically OK, so we allow use of \"namespace {\" on lines", "# that end with backslashes.", "if", "(", "file_extension", "==", "'h'", "and", "Search", "(", "r'\\bnamespace\\s*{'", ",", "line", ")", "and", "line", "[", "-", "1", "]", "!=", "'\\\\'", ")", ":", "error", "(", "filename", ",", "linenum", ",", "'build/namespaces'", ",", "4", ",", "'Do not use unnamed namespaces in header files. See '", "'http://google-styleguide.googlecode.com/svn/trunk/cppguide.xml#Namespaces'", "' for more information.'", ")" ]

https://github.com/twtygqyy/caffe-augmentation/blob/c76600d247e5132fa5bd89d87bb5df458341fa84/scripts/cpp_lint.py#L3838-L4136

rrwick/Unicycler

96ffea71e3a78d63ade19d6124946773e65cf129

unicycler/misc.py

python

MyHelpFormatter._split_lines

(self, text, width)

Override this method to add special behaviour for help texts that start with: 'B|' - loop text to the column of the equals sign 'R|' - loop text one option per line

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def _split_lines(self, text, width): """ Override this method to add special behaviour for help texts that start with: 'B|' - loop text to the column of the equals sign 'R|' - loop text one option per line """ if text.startswith('B|') or text.startswith('R|'): text_lines = text[2:].splitlines() wrapped_text_lines = [] for line in text_lines: if len(line) <= width: wrapped_text_lines.append(line) else: wrap_column = 2 if text.startswith('B|'): line_parts = line.split() wrap_column += line.find('=') join = '' current_line = ' ' + line_parts[0] else: # text.startswith('R|') line_parts = line.split(', ') join = ',' current_line = line_parts[0] for part in line_parts[1:]: if len(current_line) + len(join) + 1 + len(part) <= width: current_line += join + ' ' + part else: wrapped_text_lines.append(current_line + join) current_line = ' ' * wrap_column + part wrapped_text_lines.append(current_line) return wrapped_text_lines else: return argparse.HelpFormatter._split_lines(self, text, width)

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https://github.com/rrwick/Unicycler/blob/96ffea71e3a78d63ade19d6124946773e65cf129/unicycler/misc.py#L454-L486

BSVino/DoubleAction

c550b168a3e919926c198c30240f506538b92e75

mp/src/thirdparty/protobuf-2.3.0/python/google/protobuf/descriptor.py

python

EnumDescriptor.__init__

(self, name, full_name, filename, values, containing_type=None, options=None, file=None, serialized_start=None, serialized_end=None)

Arguments are as described in the attribute description above. Note that filename is an obsolete argument, that is not used anymore. Please use file.name to access this as an attribute.

Arguments are as described in the attribute description above.

[ "Arguments", "are", "as", "described", "in", "the", "attribute", "description", "above", "." ]

def __init__(self, name, full_name, filename, values, containing_type=None, options=None, file=None, serialized_start=None, serialized_end=None): """Arguments are as described in the attribute description above. Note that filename is an obsolete argument, that is not used anymore. Please use file.name to access this as an attribute. """ super(EnumDescriptor, self).__init__( options, 'EnumOptions', name, full_name, file, containing_type, serialized_start=serialized_start, serialized_end=serialized_start) self.values = values for value in self.values: value.type = self self.values_by_name = dict((v.name, v) for v in values) self.values_by_number = dict((v.number, v) for v in values) self._serialized_start = serialized_start self._serialized_end = serialized_end

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https://github.com/BSVino/DoubleAction/blob/c550b168a3e919926c198c30240f506538b92e75/mp/src/thirdparty/protobuf-2.3.0/python/google/protobuf/descriptor.py#L426-L446

aws/lumberyard

f85344403c1c2e77ec8c75deb2c116e97b713217

dev/Tools/Python/3.7.10/windows/Lib/site-packages/s3transfer/futures.py

python

TransferCoordinator.remove_associated_future

(self, future)

Removes a future's association to the TransferFuture

[ "Removes", "a", "future", "s", "association", "to", "the", "TransferFuture" ]

def remove_associated_future(self, future): """Removes a future's association to the TransferFuture""" with self._associated_futures_lock: self._associated_futures.remove(future)

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https://github.com/aws/lumberyard/blob/f85344403c1c2e77ec8c75deb2c116e97b713217/dev/Tools/Python/3.7.10/windows/Lib/site-packages/s3transfer/futures.py#L341-L344

BitMEX/api-connectors

37a3a5b806ad5d0e0fc975ab86d9ed43c3bcd812

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

python

ChatChannel.to_str

(self)

return pprint.pformat(self.to_dict())

Returns the string representation of the model

[ "Returns", "the", "string", "representation", "of", "the", "model" ]

def to_str(self): """Returns the string representation of the model""" return pprint.pformat(self.to_dict())

[ "def", "to_str", "(", "self", ")", ":", "return", "pprint", ".", "pformat", "(", "self", ".", "to_dict", "(", ")", ")" ]

https://github.com/BitMEX/api-connectors/blob/37a3a5b806ad5d0e0fc975ab86d9ed43c3bcd812/auto-generated/python/swagger_client/models/chat_channel.py#L125-L127

hakuna-m/wubiuefi

caec1af0a09c78fd5a345180ada1fe45e0c63493

src/sets/sets.py

python

BaseSet.__repr__

(self)

return self._repr()

Return string representation of a set. This looks like 'Set([<list of elements>])'.

Return string representation of a set.

[ "Return", "string", "representation", "of", "a", "set", "." ]

def __repr__(self): """Return string representation of a set. This looks like 'Set([<list of elements>])'. """ return self._repr()

[ "def", "__repr__", "(", "self", ")", ":", "return", "self", ".", "_repr", "(", ")" ]

https://github.com/hakuna-m/wubiuefi/blob/caec1af0a09c78fd5a345180ada1fe45e0c63493/src/sets/sets.py#L103-L108

lagadic/visp

e14e125ccc2d7cf38f3353efa01187ef782fbd0b

modules/java/generator/gen_java.py

python

camelCase

(s)

turns vpHomoMatrix to VpHomoMatrix

[ "turns", "vpHomoMatrix", "to", "VpHomoMatrix" ]

def camelCase(s): ''' turns vpHomoMatrix to VpHomoMatrix ''' if len(s) > 0: return s[0].upper() + s[1:] else: return s

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https://github.com/lagadic/visp/blob/e14e125ccc2d7cf38f3353efa01187ef782fbd0b/modules/java/generator/gen_java.py#L105-L112

mhammond/pywin32

44afd86ba8485194df93234639243252deeb40d5

Pythonwin/pywin/framework/scriptutils.py

python

GetPackageModuleName

(fileName)

return fname, newPathReturn

Given a filename, return (module name, new path). eg - given "c:\a\b\c\my.py", return ("b.c.my",None) if "c:\a" is on sys.path. If no package found, will return ("my", "c:\a\b\c")

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def GetPackageModuleName(fileName): """Given a filename, return (module name, new path). eg - given "c:\a\b\c\my.py", return ("b.c.my",None) if "c:\a" is on sys.path. If no package found, will return ("my", "c:\a\b\c") """ path, fname = os.path.split(fileName) path = origPath = win32ui.FullPath(path) fname = os.path.splitext(fname)[0] modBits = [] newPathReturn = None if not IsOnPythonPath(path): # Module not directly on the search path - see if under a package. while len(path) > 3: # ie 'C:\' path, modBit = os.path.split(path) modBits.append(modBit) # If on path, _and_ existing package of that name loaded. if ( IsOnPythonPath(path) and modBit in sys.modules and ( os.path.exists(os.path.join(path, modBit, "__init__.py")) or os.path.exists(os.path.join(path, modBit, "__init__.pyc")) or os.path.exists(os.path.join(path, modBit, "__init__.pyo")) ) ): modBits.reverse() return ".".join(modBits) + "." + fname, newPathReturn # Not found - look a level higher else: newPathReturn = origPath return fname, newPathReturn

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https://github.com/mhammond/pywin32/blob/44afd86ba8485194df93234639243252deeb40d5/Pythonwin/pywin/framework/scriptutils.py#L99-L130

dmlc/decord

96b750c7221322391969929e855b942d2fdcd06b

python/decord/bridge/mxnet.py

python

try_import_mxnet

()

return try_import('mxnet', msg)

Try import mxnet at runtime. Returns ------- mxnet module if found. Raise ImportError otherwise

Try import mxnet at runtime.

[ "Try", "import", "mxnet", "at", "runtime", "." ]

def try_import_mxnet(): """Try import mxnet at runtime. Returns ------- mxnet module if found. Raise ImportError otherwise """ msg = "mxnet is required, you can install by pip.\n \ CPU: `pip install mxnet-mkl`, GPU: `pip install mxnet-cu100mkl`" return try_import('mxnet', msg)

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https://github.com/dmlc/decord/blob/96b750c7221322391969929e855b942d2fdcd06b/python/decord/bridge/mxnet.py#L7-L16

wxWidgets/wxPython-Classic

19571e1ae65f1ac445f5491474121998c97a1bf0

src/osx_carbon/_core.py

python

SettableHeaderColumn.SetSortOrder

(*args, **kwargs)

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

SetSortOrder(self, bool ascending)

[ "SetSortOrder", "(", "self", "bool", "ascending", ")" ]

def SetSortOrder(*args, **kwargs): """SetSortOrder(self, bool ascending)""" return _core_.SettableHeaderColumn_SetSortOrder(*args, **kwargs)

[ "def", "SetSortOrder", "(", "*", "args", ",", "*", "*", "kwargs", ")", ":", "return", "_core_", ".", "SettableHeaderColumn_SetSortOrder", "(", "*", "args", ",", "*", "*", "kwargs", ")" ]

https://github.com/wxWidgets/wxPython-Classic/blob/19571e1ae65f1ac445f5491474121998c97a1bf0/src/osx_carbon/_core.py#L16520-L16522

windystrife/UnrealEngine_NVIDIAGameWorks

b50e6338a7c5b26374d66306ebc7807541ff815e

Engine/Extras/ThirdPartyNotUE/emsdk/Win64/python/2.7.5.3_64bit/Lib/lib-tk/Tkinter.py

python

Misc.image_names

(self)

return self.tk.call('image', 'names')

Return a list of all existing image names.

[ "Return", "a", "list", "of", "all", "existing", "image", "names", "." ]

def image_names(self): """Return a list of all existing image names.""" return self.tk.call('image', 'names')

[ "def", "image_names", "(", "self", ")", ":", "return", "self", ".", "tk", ".", "call", "(", "'image'", ",", "'names'", ")" ]

https://github.com/windystrife/UnrealEngine_NVIDIAGameWorks/blob/b50e6338a7c5b26374d66306ebc7807541ff815e/Engine/Extras/ThirdPartyNotUE/emsdk/Win64/python/2.7.5.3_64bit/Lib/lib-tk/Tkinter.py#L1448-L1450

y123456yz/reading-and-annotate-mongodb-3.6

93280293672ca7586dc24af18132aa61e4ed7fcf

mongo/buildscripts/idl/idl/generator.py

python

_get_has_field_member_name

(field)

return '_has%s' % (common.title_case(field.cpp_name))

Get the C++ class member name for bool 'has' member field.

[ "Get", "the", "C", "++", "class", "member", "name", "for", "bool", "has", "member", "field", "." ]

def _get_has_field_member_name(field): # type: (ast.Field) -> unicode """Get the C++ class member name for bool 'has' member field.""" return '_has%s' % (common.title_case(field.cpp_name))

[ "def", "_get_has_field_member_name", "(", "field", ")", ":", "# type: (ast.Field) -> unicode", "return", "'_has%s'", "%", "(", "common", ".", "title_case", "(", "field", ".", "cpp_name", ")", ")" ]

https://github.com/y123456yz/reading-and-annotate-mongodb-3.6/blob/93280293672ca7586dc24af18132aa61e4ed7fcf/mongo/buildscripts/idl/idl/generator.py#L49-L52

google/mozc

7329757e1ad30e327c1ae823a8302c79482d6b9c

src/build_tools/protoc_wrapper.py

python

main

()

The main function.

[ "The", "main", "function", "." ]

def main(): """The main function.""" opts = ParseOption() # Convert to absolute paths before changing the current directory. project_root = os.path.abspath(opts.project_root) proto_path = os.path.abspath(opts.proto_path) if opts.proto_path else '' cpp_out = os.path.abspath(opts.cpp_out) if opts.cpp_out else '' protoc_path = opts.protoc_command if opts.protoc_dir: protoc_path = os.path.join(os.path.abspath(opts.protoc_dir), protoc_path) # The path of proto file should be transformed as a relative path from # the project root so that correct relative paths should be embedded into # generated files. proto_files = [os.path.relpath(os.path.abspath(p), project_root) for p in opts.proto.split(' ')] # Move to the project root. os.chdir(project_root) commands = [protoc_path] + proto_files if cpp_out: commands += ['--cpp_out=' + cpp_out] if proto_path: rel_proto_path = os.path.relpath(proto_path, project_root) commands += ['--proto_path=' + rel_proto_path] for proto_file in proto_files: CreateProtoH(cpp_out, proto_file) sys.exit(subprocess.call(commands))

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https://github.com/google/mozc/blob/7329757e1ad30e327c1ae823a8302c79482d6b9c/src/build_tools/protoc_wrapper.py#L77-L109

aws/lumberyard

f85344403c1c2e77ec8c75deb2c116e97b713217

dev/Tools/Python/3.7.10/linux_x64/lib/python3.7/lib2to3/fixes/fix_metaclass.py

python

fixup_parse_tree

(cls_node)

one-line classes don't get a suite in the parse tree so we add one to normalize the tree

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def fixup_parse_tree(cls_node): """ one-line classes don't get a suite in the parse tree so we add one to normalize the tree """ for node in cls_node.children: if node.type == syms.suite: # already in the preferred format, do nothing return # !%@#! oneliners have no suite node, we have to fake one up for i, node in enumerate(cls_node.children): if node.type == token.COLON: break else: raise ValueError("No class suite and no ':'!") # move everything into a suite node suite = Node(syms.suite, []) while cls_node.children[i+1:]: move_node = cls_node.children[i+1] suite.append_child(move_node.clone()) move_node.remove() cls_node.append_child(suite) node = suite

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https://github.com/aws/lumberyard/blob/f85344403c1c2e77ec8c75deb2c116e97b713217/dev/Tools/Python/3.7.10/linux_x64/lib/python3.7/lib2to3/fixes/fix_metaclass.py#L45-L68

wlanjie/AndroidFFmpeg

7baf9122f4b8e1c74e7baf4be5c422c7a5ba5aaf

tools/fdk-aac-build/armeabi/toolchain/lib/python2.7/email/_parseaddr.py

python

AddrlistClass.getphraselist

(self)

return plist

Parse a sequence of RFC 2822 phrases. A phrase is a sequence of words, which are in turn either RFC 2822 atoms or quoted-strings. Phrases are canonicalized by squeezing all runs of continuous whitespace into one space.

Parse a sequence of RFC 2822 phrases.

[ "Parse", "a", "sequence", "of", "RFC", "2822", "phrases", "." ]

def getphraselist(self): """Parse a sequence of RFC 2822 phrases. A phrase is a sequence of words, which are in turn either RFC 2822 atoms or quoted-strings. Phrases are canonicalized by squeezing all runs of continuous whitespace into one space. """ plist = [] while self.pos < len(self.field): if self.field[self.pos] in self.FWS: self.pos += 1 elif self.field[self.pos] == '"': plist.append(self.getquote()) elif self.field[self.pos] == '(': self.commentlist.append(self.getcomment()) elif self.field[self.pos] in self.phraseends: break else: plist.append(self.getatom(self.phraseends)) return plist

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https://github.com/wlanjie/AndroidFFmpeg/blob/7baf9122f4b8e1c74e7baf4be5c422c7a5ba5aaf/tools/fdk-aac-build/armeabi/toolchain/lib/python2.7/email/_parseaddr.py#L429-L450

microsoft/TSS.MSR

0f2516fca2cd9929c31d5450e39301c9bde43688

TSS.Py/src/TpmTypes.py

python

TPML_ECC_CURVE.toTpm

(self, buf)

TpmMarshaller method

[ "TpmMarshaller", "method" ]

def toTpm(self, buf): """ TpmMarshaller method """ buf.writeValArr(self.eccCurves, 2)

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https://github.com/microsoft/TSS.MSR/blob/0f2516fca2cd9929c31d5450e39301c9bde43688/TSS.Py/src/TpmTypes.py#L4824-L4826

ApolloAuto/apollo-platform

86d9dc6743b496ead18d597748ebabd34a513289

ros/ros_comm/rospy/src/rospy/impl/tcpros_base.py

python

TCPROSTransport.fileno

(self)

return self._fileno

Get descriptor for select

[ "Get", "descriptor", "for", "select" ]

def fileno(self): """ Get descriptor for select """ return self._fileno

[ "def", "fileno", "(", "self", ")", ":", "return", "self", ".", "_fileno" ]

https://github.com/ApolloAuto/apollo-platform/blob/86d9dc6743b496ead18d597748ebabd34a513289/ros/ros_comm/rospy/src/rospy/impl/tcpros_base.py#L482-L486

mindspore-ai/mindspore

fb8fd3338605bb34fa5cea054e535a8b1d753fab

mindspore/python/mindspore/ops/composite/multitype_ops/setitem_impl.py

python

_tensor_setitem_by_slice_with_list

(data, input_slice, value)

return compile_utils.tensor_setitem_by_slice_with_sequence(data, input_slice, value)

Tensor assignment. Note: Syntax support: A[Slice] = u Restraint condition: A is a Tensor. Slice like "1:3" u is a list Inputs: data (Tensor): Assigned tensor. input_slice (Slice): slice expression. value (List): Assignment value. Outputs: Tensor, element type and shape is same as data.

Tensor assignment.

[ "Tensor", "assignment", "." ]

def _tensor_setitem_by_slice_with_list(data, input_slice, value): """ Tensor assignment. Note: Syntax support: A[Slice] = u Restraint condition: A is a Tensor. Slice like "1:3" u is a list Inputs: data (Tensor): Assigned tensor. input_slice (Slice): slice expression. value (List): Assignment value. Outputs: Tensor, element type and shape is same as data. """ return compile_utils.tensor_setitem_by_slice_with_sequence(data, input_slice, value)

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https://github.com/mindspore-ai/mindspore/blob/fb8fd3338605bb34fa5cea054e535a8b1d753fab/mindspore/python/mindspore/ops/composite/multitype_ops/setitem_impl.py#L362-L380

mongodb/mongo-cxx-driver

eb86512b05be20d2f51d53ba9b860c709e0799b3

etc/clang_format.py

python

Repo.checkout

(self, command)

return self._callgito(["checkout"] + command)

git checkout wrapper

[ "git", "checkout", "wrapper" ]

def checkout(self, command): """git checkout wrapper """ return self._callgito(["checkout"] + command)

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https://github.com/mongodb/mongo-cxx-driver/blob/eb86512b05be20d2f51d53ba9b860c709e0799b3/etc/clang_format.py#L573-L576

eclipse/sumo

7132a9b8b6eea734bdec38479026b4d8c4336d03

tools/contributed/sumopy/coremodules/demand/turnflows_wxgui.py

python

TurnflowWxGuiMixin.on_clear_turnflows

(self, event=None)

Generates routes, based on flow information and turnflow probabilities. This function will apply the JTROUTER for each transport mode separately.

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def on_clear_turnflows(self, event=None): """Generates routes, based on flow information and turnflow probabilities. This function will apply the JTROUTER for each transport mode separately. """ self._demand.turnflows.clear_turnflows() self._mainframe.browse_obj(self._demand.turnflows)

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https://github.com/eclipse/sumo/blob/7132a9b8b6eea734bdec38479026b4d8c4336d03/tools/contributed/sumopy/coremodules/demand/turnflows_wxgui.py#L105-L110

Xilinx/Vitis-AI

fc74d404563d9951b57245443c73bef389f3657f

tools/Vitis-AI-Quantizer/vai_q_tensorflow1.x/tensorflow/python/compiler/tensorrt/trt_convert.py

python

TrtGraphConverterV2.__init__

(self, input_saved_model_dir=None, input_saved_model_tags=None, input_saved_model_signature_key=None, conversion_params=DEFAULT_TRT_CONVERSION_PARAMS)

Initialize the converter. Args: input_saved_model_dir: the directory to load the SavedModel which contains the input graph to transforms. Used only when input_graph_def is None. input_saved_model_tags: list of tags to load the SavedModel. input_saved_model_signature_key: the key of the signature to optimize the graph for. conversion_params: a TrtConversionParams instance. Raises: ValueError: if the combination of the parameters is invalid.

Initialize the converter.

[ "Initialize", "the", "converter", "." ]

def __init__(self, input_saved_model_dir=None, input_saved_model_tags=None, input_saved_model_signature_key=None, conversion_params=DEFAULT_TRT_CONVERSION_PARAMS): """Initialize the converter. Args: input_saved_model_dir: the directory to load the SavedModel which contains the input graph to transforms. Used only when input_graph_def is None. input_saved_model_tags: list of tags to load the SavedModel. input_saved_model_signature_key: the key of the signature to optimize the graph for. conversion_params: a TrtConversionParams instance. Raises: ValueError: if the combination of the parameters is invalid. """ assert context.executing_eagerly() _check_trt_version_compatibility() _check_conversion_params(conversion_params) self._conversion_params = conversion_params self._input_saved_model_dir = input_saved_model_dir self._input_saved_model_tags = ( input_saved_model_tags or [tag_constants.SERVING]) self._input_saved_model_signature_key = ( input_saved_model_signature_key or signature_constants.DEFAULT_SERVING_SIGNATURE_DEF_KEY) self._need_calibration = ( conversion_params.precision_mode == TrtPrecisionMode.INT8 and conversion_params.use_calibration) if (self._need_calibration and not conversion_params.is_dynamic_op): raise ValueError("INT8 precision mode with calibration is not supported " "with static TensorRT ops. Set is_dynamic_op to True.") self._converted = False

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https://github.com/Xilinx/Vitis-AI/blob/fc74d404563d9951b57245443c73bef389f3657f/tools/Vitis-AI-Quantizer/vai_q_tensorflow1.x/tensorflow/python/compiler/tensorrt/trt_convert.py#L869-L906

apiaryio/snowcrash

b5b39faa85f88ee17459edf39fdc6fe4fc70d2e3

tools/gyp/pylib/gyp/xcodeproj_file.py

python

XCObject._XCKVPrint

(self, file, tabs, key, value)

Prints a key and value, members of an XCObject's _properties dictionary, to file. tabs is an int identifying the indentation level. If the class' _should_print_single_line variable is True, tabs is ignored and the key-value pair will be followed by a space insead of a newline.

Prints a key and value, members of an XCObject's _properties dictionary, to file.

[ "Prints", "a", "key", "and", "value", "members", "of", "an", "XCObject", "s", "_properties", "dictionary", "to", "file", "." ]

def _XCKVPrint(self, file, tabs, key, value): """Prints a key and value, members of an XCObject's _properties dictionary, to file. tabs is an int identifying the indentation level. If the class' _should_print_single_line variable is True, tabs is ignored and the key-value pair will be followed by a space insead of a newline. """ if self._should_print_single_line: printable = '' after_kv = ' ' else: printable = '\t' * tabs after_kv = '\n' # Xcode usually prints remoteGlobalIDString values in PBXContainerItemProxy # objects without comments. Sometimes it prints them with comments, but # the majority of the time, it doesn't. To avoid unnecessary changes to # the project file after Xcode opens it, don't write comments for # remoteGlobalIDString. This is a sucky hack and it would certainly be # cleaner to extend the schema to indicate whether or not a comment should # be printed, but since this is the only case where the problem occurs and # Xcode itself can't seem to make up its mind, the hack will suffice. # # Also see PBXContainerItemProxy._schema['remoteGlobalIDString']. if key == 'remoteGlobalIDString' and isinstance(self, PBXContainerItemProxy): value_to_print = value.id else: value_to_print = value # PBXBuildFile's settings property is represented in the output as a dict, # but a hack here has it represented as a string. Arrange to strip off the # quotes so that it shows up in the output as expected. if key == 'settings' and isinstance(self, PBXBuildFile): strip_value_quotes = True else: strip_value_quotes = False # In another one-off, let's set flatten_list on buildSettings properties # of XCBuildConfiguration objects, because that's how Xcode treats them. if key == 'buildSettings' and isinstance(self, XCBuildConfiguration): flatten_list = True else: flatten_list = False try: printable_key = self._XCPrintableValue(tabs, key, flatten_list) printable_value = self._XCPrintableValue(tabs, value_to_print, flatten_list) if strip_value_quotes and len(printable_value) > 1 and \ printable_value[0] == '"' and printable_value[-1] == '"': printable_value = printable_value[1:-1] printable += printable_key + ' = ' + printable_value + ';' + after_kv except TypeError, e: gyp.common.ExceptionAppend(e, 'while printing key "%s"' % key) raise self._XCPrint(file, 0, printable)

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https://github.com/apiaryio/snowcrash/blob/b5b39faa85f88ee17459edf39fdc6fe4fc70d2e3/tools/gyp/pylib/gyp/xcodeproj_file.py#L639-L699

aws/lumberyard

f85344403c1c2e77ec8c75deb2c116e97b713217

dev/Tools/Python/3.7.10/linux_x64/lib/python3.7/xml/dom/minidom.py

python

_clone_node

(node, deep, newOwnerDocument)

return clone

Clone a node and give it the new owner document. Called by Node.cloneNode and Document.importNode

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def _clone_node(node, deep, newOwnerDocument): """ Clone a node and give it the new owner document. Called by Node.cloneNode and Document.importNode """ if node.ownerDocument.isSameNode(newOwnerDocument): operation = xml.dom.UserDataHandler.NODE_CLONED else: operation = xml.dom.UserDataHandler.NODE_IMPORTED if node.nodeType == Node.ELEMENT_NODE: clone = newOwnerDocument.createElementNS(node.namespaceURI, node.nodeName) for attr in node.attributes.values(): clone.setAttributeNS(attr.namespaceURI, attr.nodeName, attr.value) a = clone.getAttributeNodeNS(attr.namespaceURI, attr.localName) a.specified = attr.specified if deep: for child in node.childNodes: c = _clone_node(child, deep, newOwnerDocument) clone.appendChild(c) elif node.nodeType == Node.DOCUMENT_FRAGMENT_NODE: clone = newOwnerDocument.createDocumentFragment() if deep: for child in node.childNodes: c = _clone_node(child, deep, newOwnerDocument) clone.appendChild(c) elif node.nodeType == Node.TEXT_NODE: clone = newOwnerDocument.createTextNode(node.data) elif node.nodeType == Node.CDATA_SECTION_NODE: clone = newOwnerDocument.createCDATASection(node.data) elif node.nodeType == Node.PROCESSING_INSTRUCTION_NODE: clone = newOwnerDocument.createProcessingInstruction(node.target, node.data) elif node.nodeType == Node.COMMENT_NODE: clone = newOwnerDocument.createComment(node.data) elif node.nodeType == Node.ATTRIBUTE_NODE: clone = newOwnerDocument.createAttributeNS(node.namespaceURI, node.nodeName) clone.specified = True clone.value = node.value elif node.nodeType == Node.DOCUMENT_TYPE_NODE: assert node.ownerDocument is not newOwnerDocument operation = xml.dom.UserDataHandler.NODE_IMPORTED clone = newOwnerDocument.implementation.createDocumentType( node.name, node.publicId, node.systemId) clone.ownerDocument = newOwnerDocument if deep: clone.entities._seq = [] clone.notations._seq = [] for n in node.notations._seq: notation = Notation(n.nodeName, n.publicId, n.systemId) notation.ownerDocument = newOwnerDocument clone.notations._seq.append(notation) if hasattr(n, '_call_user_data_handler'): n._call_user_data_handler(operation, n, notation) for e in node.entities._seq: entity = Entity(e.nodeName, e.publicId, e.systemId, e.notationName) entity.actualEncoding = e.actualEncoding entity.encoding = e.encoding entity.version = e.version entity.ownerDocument = newOwnerDocument clone.entities._seq.append(entity) if hasattr(e, '_call_user_data_handler'): e._call_user_data_handler(operation, e, entity) else: # Note the cloning of Document and DocumentType nodes is # implementation specific. minidom handles those cases # directly in the cloneNode() methods. raise xml.dom.NotSupportedErr("Cannot clone node %s" % repr(node)) # Check for _call_user_data_handler() since this could conceivably # used with other DOM implementations (one of the FourThought # DOMs, perhaps?). if hasattr(node, '_call_user_data_handler'): node._call_user_data_handler(operation, node, clone) return clone

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https://github.com/aws/lumberyard/blob/f85344403c1c2e77ec8c75deb2c116e97b713217/dev/Tools/Python/3.7.10/linux_x64/lib/python3.7/xml/dom/minidom.py#L1857-L1936

tensorflow/tensorflow

419e3a6b650ea4bd1b0cba23c4348f8a69f3272e

tensorflow/python/ops/summary_ops_v2.py

python

write

(tag, tensor, step=None, metadata=None, name=None)

Writes a generic summary to the default SummaryWriter if one exists. This exists primarily to support the definition of type-specific summary ops like scalar() and image(), and is not intended for direct use unless defining a new type-specific summary op. Args: tag: string tag used to identify the summary (e.g. in TensorBoard), usually generated with `tf.summary.summary_scope` tensor: the Tensor holding the summary data to write or a callable that returns this Tensor. If a callable is passed, it will only be called when a default SummaryWriter exists and the recording condition specified by `record_if()` is met. step: Explicit `int64`-castable monotonic step value for this summary. If omitted, this defaults to `tf.summary.experimental.get_step()`, which must not be None. metadata: Optional SummaryMetadata, as a proto or serialized bytes name: Optional string name for this op. Returns: True on success, or false if no summary was written because no default summary writer was available. Raises: ValueError: if a default writer exists, but no step was provided and `tf.summary.experimental.get_step()` is None.

Writes a generic summary to the default SummaryWriter if one exists.

[ "Writes", "a", "generic", "summary", "to", "the", "default", "SummaryWriter", "if", "one", "exists", "." ]

def write(tag, tensor, step=None, metadata=None, name=None): """Writes a generic summary to the default SummaryWriter if one exists. This exists primarily to support the definition of type-specific summary ops like scalar() and image(), and is not intended for direct use unless defining a new type-specific summary op. Args: tag: string tag used to identify the summary (e.g. in TensorBoard), usually generated with `tf.summary.summary_scope` tensor: the Tensor holding the summary data to write or a callable that returns this Tensor. If a callable is passed, it will only be called when a default SummaryWriter exists and the recording condition specified by `record_if()` is met. step: Explicit `int64`-castable monotonic step value for this summary. If omitted, this defaults to `tf.summary.experimental.get_step()`, which must not be None. metadata: Optional SummaryMetadata, as a proto or serialized bytes name: Optional string name for this op. Returns: True on success, or false if no summary was written because no default summary writer was available. Raises: ValueError: if a default writer exists, but no step was provided and `tf.summary.experimental.get_step()` is None. """ with ops.name_scope(name, "write_summary") as scope: if _summary_state.writer is None: return constant_op.constant(False) if step is None: step = get_step() if metadata is None: serialized_metadata = b"" elif hasattr(metadata, "SerializeToString"): serialized_metadata = metadata.SerializeToString() else: serialized_metadata = metadata def record(): """Record the actual summary and return True.""" if step is None: raise ValueError("No step set. Please specify one either through the " "`step` argument or through " "tf.summary.experimental.set_step()") # Note the identity to move the tensor to the CPU. with ops.device("cpu:0"): summary_tensor = tensor() if callable(tensor) else array_ops.identity( tensor) write_summary_op = gen_summary_ops.write_summary( _summary_state.writer._resource, # pylint: disable=protected-access step, summary_tensor, tag, serialized_metadata, name=scope) with ops.control_dependencies([write_summary_op]): return constant_op.constant(True) op = smart_cond.smart_cond( should_record_summaries(), record, _nothing, name="summary_cond") if not context.executing_eagerly(): ops.add_to_collection(ops.GraphKeys._SUMMARY_COLLECTION, op) # pylint: disable=protected-access return op

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https://github.com/tensorflow/tensorflow/blob/419e3a6b650ea4bd1b0cba23c4348f8a69f3272e/tensorflow/python/ops/summary_ops_v2.py#L708-L773

adobe/chromium

cfe5bf0b51b1f6b9fe239c2a3c2f2364da9967d7

third_party/closure_linter/closure_linter/common/errorhandler.py

python

ErrorHandler.FinishFile

(self)

Finishes handling the current file. Should be called after all errors in a file have been handled.

Finishes handling the current file.

[ "Finishes", "handling", "the", "current", "file", "." ]

def FinishFile(self): """Finishes handling the current file. Should be called after all errors in a file have been handled. """

[ "def", "FinishFile", "(", "self", ")", ":" ]

https://github.com/adobe/chromium/blob/cfe5bf0b51b1f6b9fe239c2a3c2f2364da9967d7/third_party/closure_linter/closure_linter/common/errorhandler.py#L50-L54

catboost/catboost

167f64f237114a4d10b2b4ee42adb4569137debe

contrib/python/scipy/py2/scipy/optimize/_trustregion_constr/qp_subproblem.py

python

box_sphere_intersections

(z, d, lb, ub, trust_radius, entire_line=False, extra_info=False)

Find the intersection between segment (or line) and box/sphere constraints. Find the intersection between the segment (or line) defined by the parametric equation ``x(t) = z + t*d``, the rectangular box ``lb <= x <= ub`` and the ball ``||x|| <= trust_radius``. Parameters ---------- z : array_like, shape (n,) Initial point. d : array_like, shape (n,) Direction. lb : array_like, shape (n,) Lower bounds to each one of the components of ``x``. Used to delimit the rectangular box. ub : array_like, shape (n, ) Upper bounds to each one of the components of ``x``. Used to delimit the rectangular box. trust_radius : float Ball radius. entire_line : bool, optional When ``True`` the function returns the intersection between the line ``x(t) = z + t*d`` (``t`` can assume any value) and the constraints. When ``False`` returns the intersection between the segment ``x(t) = z + t*d``, ``0 <= t <= 1`` and the constraints. extra_info : bool, optional When ``True`` returns ``intersect_sphere`` and ``intersect_box``. Returns ------- ta, tb : float The line/segment ``x(t) = z + t*d`` is inside the rectangular box and inside the ball for for ``ta <= t <= tb``. intersect : bool When ``True`` there is a intersection between the line (or segment) and both constraints. On the other hand, when ``False``, there is no intersection. sphere_info : dict, optional Dictionary ``{ta, tb, intersect}`` containing the interval ``[ta, tb]`` for which the line intercept the ball. And a boolean value indicating whether the sphere is intersected by the line. box_info : dict, optional Dictionary ``{ta, tb, intersect}`` containing the interval ``[ta, tb]`` for which the line intercept the box. And a boolean value indicating whether the box is intersected by the line.

Find the intersection between segment (or line) and box/sphere constraints.

[ "Find", "the", "intersection", "between", "segment", "(", "or", "line", ")", "and", "box", "/", "sphere", "constraints", "." ]

def box_sphere_intersections(z, d, lb, ub, trust_radius, entire_line=False, extra_info=False): """Find the intersection between segment (or line) and box/sphere constraints. Find the intersection between the segment (or line) defined by the parametric equation ``x(t) = z + t*d``, the rectangular box ``lb <= x <= ub`` and the ball ``||x|| <= trust_radius``. Parameters ---------- z : array_like, shape (n,) Initial point. d : array_like, shape (n,) Direction. lb : array_like, shape (n,) Lower bounds to each one of the components of ``x``. Used to delimit the rectangular box. ub : array_like, shape (n, ) Upper bounds to each one of the components of ``x``. Used to delimit the rectangular box. trust_radius : float Ball radius. entire_line : bool, optional When ``True`` the function returns the intersection between the line ``x(t) = z + t*d`` (``t`` can assume any value) and the constraints. When ``False`` returns the intersection between the segment ``x(t) = z + t*d``, ``0 <= t <= 1`` and the constraints. extra_info : bool, optional When ``True`` returns ``intersect_sphere`` and ``intersect_box``. Returns ------- ta, tb : float The line/segment ``x(t) = z + t*d`` is inside the rectangular box and inside the ball for for ``ta <= t <= tb``. intersect : bool When ``True`` there is a intersection between the line (or segment) and both constraints. On the other hand, when ``False``, there is no intersection. sphere_info : dict, optional Dictionary ``{ta, tb, intersect}`` containing the interval ``[ta, tb]`` for which the line intercept the ball. And a boolean value indicating whether the sphere is intersected by the line. box_info : dict, optional Dictionary ``{ta, tb, intersect}`` containing the interval ``[ta, tb]`` for which the line intercept the box. And a boolean value indicating whether the box is intersected by the line. """ ta_b, tb_b, intersect_b = box_intersections(z, d, lb, ub, entire_line) ta_s, tb_s, intersect_s = sphere_intersections(z, d, trust_radius, entire_line) ta = np.maximum(ta_b, ta_s) tb = np.minimum(tb_b, tb_s) if intersect_b and intersect_s and ta <= tb: intersect = True else: intersect = False if extra_info: sphere_info = {'ta': ta_s, 'tb': tb_s, 'intersect': intersect_s} box_info = {'ta': ta_b, 'tb': tb_b, 'intersect': intersect_b} return ta, tb, intersect, sphere_info, box_info else: return ta, tb, intersect

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https://github.com/catboost/catboost/blob/167f64f237114a4d10b2b4ee42adb4569137debe/contrib/python/scipy/py2/scipy/optimize/_trustregion_constr/qp_subproblem.py#L237-L303

psi4/psi4

be533f7f426b6ccc263904e55122899b16663395

psi4/driver/qcdb/dbwrap.py

python

DB4.make_pt2_Figure_3

(self)

Plot all the graphics needed for the calendar grey bars plot in Fig. 3 of PT2. Note that in the modern implementation of class DB4, would need to pass ``sset=['tt-5min', 'hb-5min', 'mx-5min', 'dd-5min']`` to get published figure.

Plot all the graphics needed for the calendar grey bars plot in Fig. 3 of PT2.

[ "Plot", "all", "the", "graphics", "needed", "for", "the", "calendar", "grey", "bars", "plot", "in", "Fig", ".", "3", "of", "PT2", "." ]

def make_pt2_Figure_3(self): """Plot all the graphics needed for the calendar grey bars plot in Fig. 3 of PT2. Note that in the modern implementation of class DB4, would need to pass ``sset=['tt-5min', 'hb-5min', 'mx-5min', 'dd-5min']`` to get published figure. """ # Fig. bars (a) self.plot_bars(['MP2-CP-dz', 'MP2-CP-jadz', 'MP2-CP-hadz', 'MP2-CP-adz', 'MP2-CP-tz', 'MP2-CP-matz', 'MP2-CP-jatz', 'MP2-CP-hatz', 'MP2-CP-atz', 'MP2-CP-dtz', 'MP2-CP-jadtz', 'MP2-CP-hadtz', 'MP2-CP-adtz', 'MP2-CP-qz', 'MP2-CP-aaqz', 'MP2-CP-maqz', 'MP2-CP-jaqz', 'MP2-CP-haqz', 'MP2-CP-aqz', 'MP2-CP-tqz', 'MP2-CP-matqz', 'MP2-CP-jatqz', 'MP2-CP-hatqz', 'MP2-CP-atqz', 'MP2-CP-a5z', 'MP2-CP-aq5z']) self.plot_bars(['SCSMP2-CP-dz', 'SCSMP2-CP-jadz', 'SCSMP2-CP-hadz', 'SCSMP2-CP-adz', 'SCSMP2-CP-tz', 'SCSMP2-CP-matz', 'SCSMP2-CP-jatz', 'SCSMP2-CP-hatz', 'SCSMP2-CP-atz', 'SCSMP2-CP-dtz', 'SCSMP2-CP-jadtz', 'SCSMP2-CP-hadtz', 'SCSMP2-CP-adtz', 'SCSMP2-CP-qz', 'SCSMP2-CP-aaqz', 'SCSMP2-CP-maqz', 'SCSMP2-CP-jaqz', 'SCSMP2-CP-haqz', 'SCSMP2-CP-aqz', 'SCSMP2-CP-tqz', 'SCSMP2-CP-matqz', 'SCSMP2-CP-jatqz', 'SCSMP2-CP-hatqz', 'SCSMP2-CP-atqz', 'SCSMP2-CP-a5z', 'SCSMP2-CP-aq5z']) self.plot_bars(['SCSNMP2-CP-dz', 'SCSNMP2-CP-jadz', 'SCSNMP2-CP-hadz', 'SCSNMP2-CP-adz', 'SCSNMP2-CP-tz', 'SCSNMP2-CP-matz', 'SCSNMP2-CP-jatz', 'SCSNMP2-CP-hatz', 'SCSNMP2-CP-atz', 'SCSNMP2-CP-dtz', 'SCSNMP2-CP-jadtz', 'SCSNMP2-CP-hadtz', 'SCSNMP2-CP-adtz', 'SCSNMP2-CP-qz', 'SCSNMP2-CP-aaqz', 'SCSNMP2-CP-maqz', 'SCSNMP2-CP-jaqz', 'SCSNMP2-CP-haqz', 'SCSNMP2-CP-aqz', 'SCSNMP2-CP-tqz', 'SCSNMP2-CP-matqz', 'SCSNMP2-CP-jatqz', 'SCSNMP2-CP-hatqz', 'SCSNMP2-CP-atqz', 'SCSNMP2-CP-a5z', 'SCSNMP2-CP-aq5z']) self.plot_bars([None, None, None, None, 'SCSMIMP2-CP-tz', 'SCSMIMP2-CP-matz', 'SCSMIMP2-CP-jatz', 'SCSMIMP2-CP-hatz', 'SCSMIMP2-CP-atz', 'SCSMIMP2-CP-dtz', 'SCSMIMP2-CP-jadtz', 'SCSMIMP2-CP-hadtz', 'SCSMIMP2-CP-adtz', 'SCSMIMP2-CP-qz', 'SCSMIMP2-CP-aaqz', 'SCSMIMP2-CP-maqz', 'SCSMIMP2-CP-jaqz', 'SCSMIMP2-CP-haqz', 'SCSMIMP2-CP-aqz', 'SCSMIMP2-CP-tqz', 'SCSMIMP2-CP-matqz', 'SCSMIMP2-CP-jatqz', 'SCSMIMP2-CP-hatqz', 'SCSMIMP2-CP-atqz', None, None]) self.plot_bars(['DWMP2-CP-dz', 'DWMP2-CP-jadz', 'DWMP2-CP-hadz', 'DWMP2-CP-adz', 'DWMP2-CP-tz', 'DWMP2-CP-matz', 'DWMP2-CP-jatz', 'DWMP2-CP-hatz', 'DWMP2-CP-atz', 'DWMP2-CP-dtz', 'DWMP2-CP-jadtz', 'DWMP2-CP-hadtz', 'DWMP2-CP-adtz', 'DWMP2-CP-qz', 'DWMP2-CP-aaqz', 'DWMP2-CP-maqz', 'DWMP2-CP-jaqz', 'DWMP2-CP-haqz', 'DWMP2-CP-aqz', 'DWMP2-CP-tqz', 'DWMP2-CP-matqz', 'DWMP2-CP-jatqz', 'DWMP2-CP-hatqz', 'DWMP2-CP-atqz', 'DWMP2-CP-a5z', 'DWMP2-CP-aq5z']) self.plot_bars(['MP2C-CP-dz', 'MP2C-CP-jadz', 'MP2C-CP-hadz', 'MP2C-CP-adz', 'MP2C-CP-tz', 'MP2C-CP-matz', 'MP2C-CP-jatz', 'MP2C-CP-hatz', 'MP2C-CP-atz', 'MP2C-CP-dtz', 'MP2C-CP-jadtz', 'MP2C-CP-hadtz', 'MP2C-CP-adtz', None, None, None, None, None, 'MP2C-CP-aqz', None, None, None, None, 'MP2C-CP-atqz', None, None]) self.plot_bars(['MP2C-CP-atqzdz', 'MP2C-CP-atqzjadz', 'MP2C-CP-atqzhadz', 'MP2C-CP-atqzadz', 'MP2C-CP-atqztz', 'MP2C-CP-atqzmatz', 'MP2C-CP-atqzjatz', 'MP2C-CP-atqzhatz', 'MP2C-CP-atqzatz', 'MP2C-CP-atqzdtz', 'MP2C-CP-atqzjadtz', 'MP2C-CP-atqzhadtz', 'MP2C-CP-atqzadtz']) # Fig. bars (c) self.plot_bars(['MP2F12-CP-dz', 'MP2F12-CP-jadz', 'MP2F12-CP-hadz', 'MP2F12-CP-adz', 'MP2F12-CP-tz', 'MP2F12-CP-matz', 'MP2F12-CP-jatz', 'MP2F12-CP-hatz', 'MP2F12-CP-atz', 'MP2F12-CP-dtz', 'MP2F12-CP-jadtz', 'MP2F12-CP-hadtz', 'MP2F12-CP-adtz', 'MP2F12-CP-aqz', 'MP2F12-CP-atqz']) self.plot_bars(['SCSMP2F12-CP-dz', 'SCSMP2F12-CP-jadz', 'SCSMP2F12-CP-hadz', 'SCSMP2F12-CP-adz', 'SCSMP2F12-CP-tz', 'SCSMP2F12-CP-matz', 'SCSMP2F12-CP-jatz', 'SCSMP2F12-CP-hatz', 'SCSMP2F12-CP-atz', 'SCSMP2F12-CP-dtz', 'SCSMP2F12-CP-jadtz', 'SCSMP2F12-CP-hadtz', 'SCSMP2F12-CP-adtz', 'SCSMP2F12-CP-aqz', 'SCSMP2F12-CP-atqz']) self.plot_bars(['SCSNMP2F12-CP-dz', 'SCSNMP2F12-CP-jadz', 'SCSNMP2F12-CP-hadz', 'SCSNMP2F12-CP-adz', 'SCSNMP2F12-CP-tz', 'SCSNMP2F12-CP-matz', 'SCSNMP2F12-CP-jatz', 'SCSNMP2F12-CP-hatz', 'SCSNMP2F12-CP-atz', 'SCSNMP2F12-CP-dtz', 'SCSNMP2F12-CP-jadtz', 'SCSNMP2F12-CP-adtz', 'SCSNMP2F12-CP-adtz', 'SCSNMP2F12-CP-aqz', 'SCSNMP2F12-CP-atqz']) self.plot_bars([None, None, None, None, 'SCSMIMP2F12-CP-tz', 'SCSMIMP2F12-CP-matz', 'SCSMIMP2F12-CP-jatz', 'SCSMIMP2F12-CP-hatz', 'SCSMIMP2F12-CP-atz', 'SCSMIMP2F12-CP-dtz', 'SCSMIMP2F12-CP-jadtz', 'SCSMIMP2F12-CP-hadtz', 'SCSMIMP2F12-CP-adtz', 'SCSMIMP2F12-CP-aqz', 'SCSMIMP2F12-CP-atqz']) self.plot_bars(['DWMP2F12-CP-dz', 'DWMP2F12-CP-jadz', 'DWMP2F12-CP-hadz', 'DWMP2F12-CP-adz', 'DWMP2F12-CP-tz', 'DWMP2F12-CP-matz', 'DWMP2F12-CP-jatz', 'DWMP2F12-CP-hatz', 'DWMP2F12-CP-atz', 'DWMP2F12-CP-dtz', 'DWMP2F12-CP-jadtz', 'DWMP2F12-CP-hadtz', 'DWMP2F12-CP-adtz', 'DWMP2F12-CP-aqz', 'DWMP2F12-CP-atqz']) self.plot_bars(['MP2CF12-CP-dz', 'MP2CF12-CP-jadz', 'MP2CF12-CP-hadz', 'MP2CF12-CP-adz', 'MP2CF12-CP-tz', 'MP2CF12-CP-matz', 'MP2CF12-CP-jatz', 'MP2CF12-CP-hatz', 'MP2CF12-CP-atz', 'MP2CF12-CP-dtz', 'MP2CF12-CP-jadtz', 'MP2CF12-CP-hadtz', 'MP2CF12-CP-adtz', 'MP2CF12-CP-aqz', 'MP2CF12-CP-atqz']) self.plot_bars(['MP2CF12-CP-atqzdz', 'MP2CF12-CP-atqzjadz', 'MP2CF12-CP-atqzhadz', 'MP2CF12-CP-atqzadz', 'MP2CF12-CP-atqztz', 'MP2CF12-CP-atqzmatz', 'MP2CF12-CP-atqzjatz', 'MP2CF12-CP-atqzhatz', 'MP2CF12-CP-atqzatz', 'MP2CF12-CP-atqzdtz', 'MP2CF12-CP-atqzjadtz', 'MP2CF12-CP-atqzhadtz', 'MP2CF12-CP-atqzadtz'])

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"'MP2CF12-CP-atqz'", "]", ")", "self", ".", "plot_bars", "(", "[", "'MP2CF12-CP-atqzdz'", ",", "'MP2CF12-CP-atqzjadz'", ",", "'MP2CF12-CP-atqzhadz'", ",", "'MP2CF12-CP-atqzadz'", ",", "'MP2CF12-CP-atqztz'", ",", "'MP2CF12-CP-atqzmatz'", ",", "'MP2CF12-CP-atqzjatz'", ",", "'MP2CF12-CP-atqzhatz'", ",", "'MP2CF12-CP-atqzatz'", ",", "'MP2CF12-CP-atqzdtz'", ",", "'MP2CF12-CP-atqzjadtz'", ",", "'MP2CF12-CP-atqzhadtz'", ",", "'MP2CF12-CP-atqzadtz'", "]", ")" ]

https://github.com/psi4/psi4/blob/be533f7f426b6ccc263904e55122899b16663395/psi4/driver/qcdb/dbwrap.py#L3092-L3178

ApolloAuto/apollo-platform

86d9dc6743b496ead18d597748ebabd34a513289

ros/ros_comm/rosbag/src/rosbag/bag.py

python

Bag.close

(self)

Close the bag file. Closing an already closed bag does nothing.

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def close(self): """ Close the bag file. Closing an already closed bag does nothing. """ if self._file: if self._mode in 'wa': self._stop_writing() self._close_file()

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https://github.com/ApolloAuto/apollo-platform/blob/86d9dc6743b496ead18d597748ebabd34a513289/ros/ros_comm/rosbag/src/rosbag/bag.py#L415-L423

windystrife/UnrealEngine_NVIDIAGameWorks

b50e6338a7c5b26374d66306ebc7807541ff815e

Engine/Extras/ThirdPartyNotUE/emsdk/Win64/python/2.7.5.3_64bit/Lib/site-packages/pip/vendor/distlib/locators.py

python

Locator.get_distribution_names

(self)

Return all the distribution names known to this locator.

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def get_distribution_names(self): """ Return all the distribution names known to this locator. """ raise NotImplementedError('Please implement in the subclass')

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https://github.com/windystrife/UnrealEngine_NVIDIAGameWorks/blob/b50e6338a7c5b26374d66306ebc7807541ff815e/Engine/Extras/ThirdPartyNotUE/emsdk/Win64/python/2.7.5.3_64bit/Lib/site-packages/pip/vendor/distlib/locators.py#L130-L134

wxWidgets/wxPython-Classic

19571e1ae65f1ac445f5491474121998c97a1bf0

wx/tools/Editra/src/ebmlib/searcheng.py

python

SearchEngine.SearchInFile

(self, fname)

return

Search in a file for all lines with matches of the set query and yield the results as they are found. @param fname: filename @todo: unicode handling

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def SearchInFile(self, fname): """Search in a file for all lines with matches of the set query and yield the results as they are found. @param fname: filename @todo: unicode handling """ if self._regex is None: return checker = fchecker.FileTypeChecker() if checker.IsReadableText(fname): try: fobj = open(fname, 'rb') except (IOError, OSError): return else: # Special token to signify start of a search yield (None, fname) for lnum, line in enumerate(fobj): if self._regex.search(line) is not None: yield self._formatter(fname, lnum, line) fobj.close() return

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https://github.com/wxWidgets/wxPython-Classic/blob/19571e1ae65f1ac445f5491474121998c97a1bf0/wx/tools/Editra/src/ebmlib/searcheng.py#L308-L332

hanpfei/chromium-net

392cc1fa3a8f92f42e4071ab6e674d8e0482f83f

third_party/catapult/third_party/gsutil/gslib/cloud_api.py

python

CloudApi.CopyObject

(self, src_obj_metadata, dst_obj_metadata, src_generation=None, canned_acl=None, preconditions=None, progress_callback=None, max_bytes_per_call=None, provider=None, fields=None)

Copies an object in the cloud. Args: src_obj_metadata: Object metadata for source object. Must include bucket name, object name, and etag. dst_obj_metadata: Object metadata for new object. Must include bucket and object name. src_generation: Generation of the source object to copy. canned_acl: Optional canned ACL to apply to destination object. Overrides ACL set in dst_obj_metadata. preconditions: Destination object preconditions for the request. progress_callback: Optional callback function for progress notifications. Receives calls with arguments (bytes_transferred, total_size). max_bytes_per_call: Integer describing maximum number of bytes to rewrite per service call. provider: Cloud storage provider to connect to. If not present, class-wide default is used. fields: If present, return only these Object metadata fields. Raises: ArgumentException for errors during input validation. ServiceException for errors interacting with cloud storage providers. Returns: Object object for newly created destination object.

Copies an object in the cloud.

[ "Copies", "an", "object", "in", "the", "cloud", "." ]

def CopyObject(self, src_obj_metadata, dst_obj_metadata, src_generation=None, canned_acl=None, preconditions=None, progress_callback=None, max_bytes_per_call=None, provider=None, fields=None): """Copies an object in the cloud. Args: src_obj_metadata: Object metadata for source object. Must include bucket name, object name, and etag. dst_obj_metadata: Object metadata for new object. Must include bucket and object name. src_generation: Generation of the source object to copy. canned_acl: Optional canned ACL to apply to destination object. Overrides ACL set in dst_obj_metadata. preconditions: Destination object preconditions for the request. progress_callback: Optional callback function for progress notifications. Receives calls with arguments (bytes_transferred, total_size). max_bytes_per_call: Integer describing maximum number of bytes to rewrite per service call. provider: Cloud storage provider to connect to. If not present, class-wide default is used. fields: If present, return only these Object metadata fields. Raises: ArgumentException for errors during input validation. ServiceException for errors interacting with cloud storage providers. Returns: Object object for newly created destination object. """ raise NotImplementedError('CopyObject must be overloaded')

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https://github.com/hanpfei/chromium-net/blob/392cc1fa3a8f92f42e4071ab6e674d8e0482f83f/third_party/catapult/third_party/gsutil/gslib/cloud_api.py#L397-L427

windystrife/UnrealEngine_NVIDIAGameWorks

b50e6338a7c5b26374d66306ebc7807541ff815e

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

python

unmatched

(match)

return match.string[:start]+match.string[end:]

Return unmatched part of re.Match object.

[ "Return", "unmatched", "part", "of", "re", ".", "Match", "object", "." ]

def unmatched(match): """Return unmatched part of re.Match object.""" start, end = match.span(0) return match.string[:start]+match.string[end:]

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https://github.com/windystrife/UnrealEngine_NVIDIAGameWorks/blob/b50e6338a7c5b26374d66306ebc7807541ff815e/Engine/Extras/ThirdPartyNotUE/emsdk/Win64/python/2.7.5.3_64bit/Lib/cookielib.py#L317-L320

aws/lumberyard

f85344403c1c2e77ec8c75deb2c116e97b713217

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

python

interact

(banner=None, readfunc=None, local=None, exitmsg=None)

Closely emulate the interactive Python interpreter. This is a backwards compatible interface to the InteractiveConsole class. When readfunc is not specified, it attempts to import the readline module to enable GNU readline if it is available. Arguments (all optional, all default to None): banner -- passed to InteractiveConsole.interact() readfunc -- if not None, replaces InteractiveConsole.raw_input() local -- passed to InteractiveInterpreter.__init__() exitmsg -- passed to InteractiveConsole.interact()

Closely emulate the interactive Python interpreter.

[ "Closely", "emulate", "the", "interactive", "Python", "interpreter", "." ]

def interact(banner=None, readfunc=None, local=None, exitmsg=None): """Closely emulate the interactive Python interpreter. This is a backwards compatible interface to the InteractiveConsole class. When readfunc is not specified, it attempts to import the readline module to enable GNU readline if it is available. Arguments (all optional, all default to None): banner -- passed to InteractiveConsole.interact() readfunc -- if not None, replaces InteractiveConsole.raw_input() local -- passed to InteractiveInterpreter.__init__() exitmsg -- passed to InteractiveConsole.interact() """ console = InteractiveConsole(local) if readfunc is not None: console.raw_input = readfunc else: try: import readline except ImportError: pass console.interact(banner, exitmsg)

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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/code.py#L278-L301

mantidproject/mantid

03deeb89254ec4289edb8771e0188c2090a02f32

Framework/PythonInterface/plugins/algorithms/WorkflowAlgorithms/PolDiffILLReduction.py

python

PolDiffILLReduction._merge_twoTheta_scans

(ws)

Sums the workspaces belonging to the same polarisation and requested twoTheta value.

[ "Sums", "the", "workspaces", "belonging", "to", "the", "same", "polarisation", "and", "requested", "twoTheta", "value", "." ]

def _merge_twoTheta_scans(ws): """Sums the workspaces belonging to the same polarisation and requested twoTheta value.""" numors = dict() for name in mtd[ws].getNames(): last_underscore = name.rfind("_") pol_direction = name[last_underscore + 1:] two_theta_orientation = mtd[name].getRun().getLogData('2theta.requested').value key = "{}_{}".format(pol_direction, two_theta_orientation) if key not in numors: numors[key] = list() numors[key].append(name) to_group = [] for key in numors: if len(numors[key]) > 1: tmp_ws = "{}_tmp".format(numors[key][0]) MergeRuns(InputWorkspaces=numors[key], OutputWorkspace=tmp_ws) DeleteWorkspaces(WorkspaceList=numors[key]) RenameWorkspace(InputWorkspace=tmp_ws, OutputWorkspace=tmp_ws[:-4]) to_group.append(tmp_ws[:-4]) if len(to_group) > 1: GroupWorkspaces(InputWorkspaces=to_group, OutputWorkspace=ws)

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https://github.com/mantidproject/mantid/blob/03deeb89254ec4289edb8771e0188c2090a02f32/Framework/PythonInterface/plugins/algorithms/WorkflowAlgorithms/PolDiffILLReduction.py#L411-L431

wxWidgets/wxPython-Classic

19571e1ae65f1ac445f5491474121998c97a1bf0

src/osx_cocoa/_windows.py

python

ScrolledWindow_GetClassDefaultAttributes

(*args, **kwargs)

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

ScrolledWindow_GetClassDefaultAttributes(int variant=WINDOW_VARIANT_NORMAL) -> VisualAttributes Get the default attributes for this class. This is useful if you want to use the same font or colour in your own control as in a standard control -- which is a much better idea than hard coding specific colours or fonts which might look completely out of place on the user's system, especially if it uses themes. The variant parameter is only relevant under Mac currently and is ignore under other platforms. Under Mac, it will change the size of the returned font. See `wx.Window.SetWindowVariant` for more about this.

ScrolledWindow_GetClassDefaultAttributes(int variant=WINDOW_VARIANT_NORMAL) -> VisualAttributes

[ "ScrolledWindow_GetClassDefaultAttributes", "(", "int", "variant", "=", "WINDOW_VARIANT_NORMAL", ")", "-", ">", "VisualAttributes" ]

def ScrolledWindow_GetClassDefaultAttributes(*args, **kwargs): """ ScrolledWindow_GetClassDefaultAttributes(int variant=WINDOW_VARIANT_NORMAL) -> VisualAttributes Get the default attributes for this class. This is useful if you want to use the same font or colour in your own control as in a standard control -- which is a much better idea than hard coding specific colours or fonts which might look completely out of place on the user's system, especially if it uses themes. The variant parameter is only relevant under Mac currently and is ignore under other platforms. Under Mac, it will change the size of the returned font. See `wx.Window.SetWindowVariant` for more about this. """ return _windows_.ScrolledWindow_GetClassDefaultAttributes(*args, **kwargs)

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https://github.com/wxWidgets/wxPython-Classic/blob/19571e1ae65f1ac445f5491474121998c97a1bf0/src/osx_cocoa/_windows.py#L334-L349

wxWidgets/wxPython-Classic

19571e1ae65f1ac445f5491474121998c97a1bf0

src/gtk/xrc.py

python

XmlResource_Set

(*args, **kwargs)

return _xrc.XmlResource_Set(*args, **kwargs)

XmlResource_Set(XmlResource res) -> XmlResource

[ "XmlResource_Set", "(", "XmlResource", "res", ")", "-", ">", "XmlResource" ]

def XmlResource_Set(*args, **kwargs): """XmlResource_Set(XmlResource res) -> XmlResource""" return _xrc.XmlResource_Set(*args, **kwargs)

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https://github.com/wxWidgets/wxPython-Classic/blob/19571e1ae65f1ac445f5491474121998c97a1bf0/src/gtk/xrc.py#L262-L264

catboost/catboost

167f64f237114a4d10b2b4ee42adb4569137debe

contrib/python/numpy/py3/numpy/lib/npyio.py

python

savez

(file, *args, **kwds)

Save several arrays into a single file in uncompressed ``.npz`` format. Provide arrays as keyword arguments to store them under the corresponding name in the output file: ``savez(fn, x=x, y=y)``. If arrays are specified as positional arguments, i.e., ``savez(fn, x, y)``, their names will be `arr_0`, `arr_1`, etc. Parameters ---------- file : str or file Either the filename (string) or an open file (file-like object) where the data will be saved. If file is a string or a Path, the ``.npz`` extension will be appended to the filename if it is not already there. args : Arguments, optional Arrays to save to the file. Please use keyword arguments (see `kwds` below) to assign names to arrays. Arrays specified as args will be named "arr_0", "arr_1", and so on. kwds : Keyword arguments, optional Arrays to save to the file. Each array will be saved to the output file with its corresponding keyword name. Returns ------- None See Also -------- save : Save a single array to a binary file in NumPy format. savetxt : Save an array to a file as plain text. savez_compressed : Save several arrays into a compressed ``.npz`` archive Notes ----- The ``.npz`` file format is a zipped archive of files named after the variables they contain. The archive is not compressed and each file in the archive contains one variable in ``.npy`` format. For a description of the ``.npy`` format, see :py:mod:`numpy.lib.format`. When opening the saved ``.npz`` file with `load` a `NpzFile` object is returned. This is a dictionary-like object which can be queried for its list of arrays (with the ``.files`` attribute), and for the arrays themselves. When saving dictionaries, the dictionary keys become filenames inside the ZIP archive. Therefore, keys should be valid filenames. E.g., avoid keys that begin with ``/`` or contain ``.``. Examples -------- >>> from tempfile import TemporaryFile >>> outfile = TemporaryFile() >>> x = np.arange(10) >>> y = np.sin(x) Using `savez` with \\*args, the arrays are saved with default names. >>> np.savez(outfile, x, y) >>> _ = outfile.seek(0) # Only needed here to simulate closing & reopening file >>> npzfile = np.load(outfile) >>> npzfile.files ['arr_0', 'arr_1'] >>> npzfile['arr_0'] array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9]) Using `savez` with \\**kwds, the arrays are saved with the keyword names. >>> outfile = TemporaryFile() >>> np.savez(outfile, x=x, y=y) >>> _ = outfile.seek(0) >>> npzfile = np.load(outfile) >>> sorted(npzfile.files) ['x', 'y'] >>> npzfile['x'] array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])

Save several arrays into a single file in uncompressed ``.npz`` format.

[ "Save", "several", "arrays", "into", "a", "single", "file", "in", "uncompressed", ".", "npz", "format", "." ]

def savez(file, *args, **kwds): """Save several arrays into a single file in uncompressed ``.npz`` format. Provide arrays as keyword arguments to store them under the corresponding name in the output file: ``savez(fn, x=x, y=y)``. If arrays are specified as positional arguments, i.e., ``savez(fn, x, y)``, their names will be `arr_0`, `arr_1`, etc. Parameters ---------- file : str or file Either the filename (string) or an open file (file-like object) where the data will be saved. If file is a string or a Path, the ``.npz`` extension will be appended to the filename if it is not already there. args : Arguments, optional Arrays to save to the file. Please use keyword arguments (see `kwds` below) to assign names to arrays. Arrays specified as args will be named "arr_0", "arr_1", and so on. kwds : Keyword arguments, optional Arrays to save to the file. Each array will be saved to the output file with its corresponding keyword name. Returns ------- None See Also -------- save : Save a single array to a binary file in NumPy format. savetxt : Save an array to a file as plain text. savez_compressed : Save several arrays into a compressed ``.npz`` archive Notes ----- The ``.npz`` file format is a zipped archive of files named after the variables they contain. The archive is not compressed and each file in the archive contains one variable in ``.npy`` format. For a description of the ``.npy`` format, see :py:mod:`numpy.lib.format`. When opening the saved ``.npz`` file with `load` a `NpzFile` object is returned. This is a dictionary-like object which can be queried for its list of arrays (with the ``.files`` attribute), and for the arrays themselves. When saving dictionaries, the dictionary keys become filenames inside the ZIP archive. Therefore, keys should be valid filenames. E.g., avoid keys that begin with ``/`` or contain ``.``. Examples -------- >>> from tempfile import TemporaryFile >>> outfile = TemporaryFile() >>> x = np.arange(10) >>> y = np.sin(x) Using `savez` with \\*args, the arrays are saved with default names. >>> np.savez(outfile, x, y) >>> _ = outfile.seek(0) # Only needed here to simulate closing & reopening file >>> npzfile = np.load(outfile) >>> npzfile.files ['arr_0', 'arr_1'] >>> npzfile['arr_0'] array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9]) Using `savez` with \\**kwds, the arrays are saved with the keyword names. >>> outfile = TemporaryFile() >>> np.savez(outfile, x=x, y=y) >>> _ = outfile.seek(0) >>> npzfile = np.load(outfile) >>> sorted(npzfile.files) ['x', 'y'] >>> npzfile['x'] array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9]) """ _savez(file, args, kwds, False)

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https://github.com/catboost/catboost/blob/167f64f237114a4d10b2b4ee42adb4569137debe/contrib/python/numpy/py3/numpy/lib/npyio.py#L539-L618

wlanjie/AndroidFFmpeg

7baf9122f4b8e1c74e7baf4be5c422c7a5ba5aaf

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

python

EditorWindow.update_recent_files_list

(self, new_file=None)

Load and update the recent files list and menus

[ "Load", "and", "update", "the", "recent", "files", "list", "and", "menus" ]

def update_recent_files_list(self, new_file=None): "Load and update the recent files list and menus" rf_list = [] if os.path.exists(self.recent_files_path): rf_list_file = open(self.recent_files_path,'r') try: rf_list = rf_list_file.readlines() finally: rf_list_file.close() if new_file: new_file = os.path.abspath(new_file) + '\n' if new_file in rf_list: rf_list.remove(new_file) # move to top rf_list.insert(0, new_file) # clean and save the recent files list bad_paths = [] for path in rf_list: if '\0' in path or not os.path.exists(path[0:-1]): bad_paths.append(path) rf_list = [path for path in rf_list if path not in bad_paths] ulchars = "1234567890ABCDEFGHIJK" rf_list = rf_list[0:len(ulchars)] try: with open(self.recent_files_path, 'w') as rf_file: rf_file.writelines(rf_list) except IOError as err: if not getattr(self.root, "recentfilelist_error_displayed", False): self.root.recentfilelist_error_displayed = True tkMessageBox.showerror(title='IDLE Error', message='Unable to update Recent Files list:\n%s' % str(err), parent=self.text) # for each edit window instance, construct the recent files menu for instance in self.top.instance_dict.keys(): menu = instance.recent_files_menu menu.delete(0, END) # clear, and rebuild: for i, file_name in enumerate(rf_list): file_name = file_name.rstrip() # zap \n # make unicode string to display non-ASCII chars correctly ufile_name = self._filename_to_unicode(file_name) callback = instance.__recent_file_callback(file_name) menu.add_command(label=ulchars[i] + " " + ufile_name, command=callback, underline=0)

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https://github.com/wlanjie/AndroidFFmpeg/blob/7baf9122f4b8e1c74e7baf4be5c422c7a5ba5aaf/tools/fdk-aac-build/x86/toolchain/lib/python2.7/idlelib/EditorWindow.py#L860-L903

SequoiaDB/SequoiaDB

2894ed7e5bd6fe57330afc900cf76d0ff0df9f64

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

python

xmlDoc.validateDtdFinal

(self, ctxt)

return ret

Does the final step for the dtds validation once all the subsets have been parsed basically it does the following checks described by the XML Rec - check that ENTITY and ENTITIES type attributes default or possible values matches one of the defined entities. - check that NOTATION type attributes default or possible values matches one of the defined notations.

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def validateDtdFinal(self, ctxt): """Does the final step for the dtds validation once all the subsets have been parsed basically it does the following checks described by the XML Rec - check that ENTITY and ENTITIES type attributes default or possible values matches one of the defined entities. - check that NOTATION type attributes default or possible values matches one of the defined notations. """ if ctxt is None: ctxt__o = None else: ctxt__o = ctxt._o ret = libxml2mod.xmlValidateDtdFinal(ctxt__o, self._o) return ret

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https://github.com/SequoiaDB/SequoiaDB/blob/2894ed7e5bd6fe57330afc900cf76d0ff0df9f64/tools/server/php_linux/libxml2/lib/python2.4/site-packages/libxml2.py#L4651-L4662

miyosuda/TensorFlowAndroidMNIST

7b5a4603d2780a8a2834575706e9001977524007

jni-build/jni/include/tensorflow/contrib/quantization/tools/quantize_graph.py

python

GraphRewriter.eightbitize_conv_node

(self, original_node)

Replaces a Conv2D node with the eight bit equivalent sub-graph.

[ "Replaces", "a", "Conv2D", "node", "with", "the", "eight", "bit", "equivalent", "sub", "-", "graph", "." ]

def eightbitize_conv_node(self, original_node): """Replaces a Conv2D node with the eight bit equivalent sub-graph.""" all_input_names = self.add_eightbit_prologue_nodes(original_node) quantized_conv_name = original_node.name + "_eightbit_quantized_conv" quantized_conv_node = create_node("QuantizedConv2D", quantized_conv_name, all_input_names) copy_attr(quantized_conv_node, "strides", original_node.attr["strides"]) copy_attr(quantized_conv_node, "padding", original_node.attr["padding"]) set_attr_dtype(quantized_conv_node, "Tinput", tf.quint8) set_attr_dtype(quantized_conv_node, "Tfilter", tf.quint8) set_attr_dtype(quantized_conv_node, "out_type", tf.qint32) self.add_output_graph_node(quantized_conv_node) quantize_down_name = self.add_quantize_down_node(original_node, quantized_conv_name) self.add_dequantize_result_node(quantize_down_name, original_node.name)

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https://github.com/miyosuda/TensorFlowAndroidMNIST/blob/7b5a4603d2780a8a2834575706e9001977524007/jni-build/jni/include/tensorflow/contrib/quantization/tools/quantize_graph.py#L586-L600

hanpfei/chromium-net

392cc1fa3a8f92f42e4071ab6e674d8e0482f83f

third_party/catapult/third_party/gsutil/third_party/python-gflags/gflags.py

python

DEFINE_multistring

(name, default, help, flag_values=FLAGS, **args)

Registers a flag whose value can be a list of any strings. Use the flag on the command line multiple times to place multiple string values into the list. The 'default' may be a single string (which will be converted into a single-element list) or a list of strings.

Registers a flag whose value can be a list of any strings.

[ "Registers", "a", "flag", "whose", "value", "can", "be", "a", "list", "of", "any", "strings", "." ]

def DEFINE_multistring(name, default, help, flag_values=FLAGS, **args): """Registers a flag whose value can be a list of any strings. Use the flag on the command line multiple times to place multiple string values into the list. The 'default' may be a single string (which will be converted into a single-element list) or a list of strings. """ parser = ArgumentParser() serializer = ArgumentSerializer() DEFINE_multi(parser, serializer, name, default, help, flag_values, **args)

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https://github.com/hanpfei/chromium-net/blob/392cc1fa3a8f92f42e4071ab6e674d8e0482f83f/third_party/catapult/third_party/gsutil/third_party/python-gflags/gflags.py#L2799-L2809

clementine-player/Clementine

111379dfd027802b59125829fcf87e3e1d0ad73b

dist/cpplint.py

python

FileInfo.Split

(self)

return (project,) + os.path.splitext(rest)

Splits the file into the directory, basename, and extension. For 'chrome/browser/browser.cc', Split() would return ('chrome/browser', 'browser', '.cc') Returns: A tuple of (directory, basename, extension).

Splits the file into the directory, basename, and extension.

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def Split(self): """Splits the file into the directory, basename, and extension. For 'chrome/browser/browser.cc', Split() would return ('chrome/browser', 'browser', '.cc') Returns: A tuple of (directory, basename, extension). """ googlename = self.RepositoryName() project, rest = os.path.split(googlename) return (project,) + os.path.splitext(rest)

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https://github.com/clementine-player/Clementine/blob/111379dfd027802b59125829fcf87e3e1d0ad73b/dist/cpplint.py#L1027-L1039

microsoft/onnxruntime

f92e47e95b13a240e37caf7b36577983544f98fc

orttraining/orttraining/python/training/optim/lr_scheduler.py

python

_LRScheduler._step

(self, train_step_info)

return new_lr

r"""Internal method called to compute learning rate

[ "r", "Internal", "method", "called", "to", "compute", "learning", "rate" ]

def _step(self, train_step_info): r"""Internal method called to compute learning rate""" # Store last lr for future inquiry new_lr = self.get_lr(train_step_info) self._last_lr = new_lr return new_lr

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https://github.com/microsoft/onnxruntime/blob/f92e47e95b13a240e37caf7b36577983544f98fc/orttraining/orttraining/python/training/optim/lr_scheduler.py#L22-L29

microsoft/onnxruntime

f92e47e95b13a240e37caf7b36577983544f98fc

onnxruntime/python/onnxruntime_inference_collection.py

python

Session.io_binding

(self)

return IOBinding(self)

Return an onnxruntime.IOBinding object`.

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def io_binding(self): "Return an onnxruntime.IOBinding object`." return IOBinding(self)

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https://github.com/microsoft/onnxruntime/blob/f92e47e95b13a240e37caf7b36577983544f98fc/onnxruntime/python/onnxruntime_inference_collection.py#L265-L267

catboost/catboost

167f64f237114a4d10b2b4ee42adb4569137debe

contrib/python/setuptools/py3/setuptools/msvc.py

python

RegistryInfo.sxs

(self)

return join(self.visualstudio, 'SxS')

Microsoft Visual Studio SxS registry key. Return ------ str Registry key

Microsoft Visual Studio SxS registry key.

[ "Microsoft", "Visual", "Studio", "SxS", "registry", "key", "." ]

def sxs(self): """ Microsoft Visual Studio SxS registry key. Return ------ str Registry key """ return join(self.visualstudio, 'SxS')

[ "def", "sxs", "(", "self", ")", ":", "return", "join", "(", "self", ".", "visualstudio", ",", "'SxS'", ")" ]

https://github.com/catboost/catboost/blob/167f64f237114a4d10b2b4ee42adb4569137debe/contrib/python/setuptools/py3/setuptools/msvc.py#L517-L526

miyosuda/TensorFlowAndroidMNIST

7b5a4603d2780a8a2834575706e9001977524007

jni-build/jni/include/tensorflow/python/training/training_ops.py

python

_AssertInputIsScalar

(op, index)

Raises ValueError if `op.inputs[index]` is not scalar.

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def _AssertInputIsScalar(op, index): """Raises ValueError if `op.inputs[index]` is not scalar.""" op.inputs[index].get_shape().assert_is_compatible_with(tensor_shape.scalar())

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https://github.com/miyosuda/TensorFlowAndroidMNIST/blob/7b5a4603d2780a8a2834575706e9001977524007/jni-build/jni/include/tensorflow/python/training/training_ops.py#L46-L48

ChromiumWebApps/chromium

c7361d39be8abd1574e6ce8957c8dbddd4c6ccf7

tools/idl_parser/idl_parser.py

python

IDLParser.p_CommentsRest

(self, p)

CommentsRest : COMMENT CommentsRest |

[ "CommentsRest", ":", "COMMENT", "CommentsRest", "|" ]

def p_CommentsRest(self, p): """CommentsRest : COMMENT CommentsRest | """ if len(p) > 1: p[0] = ListFromConcat(self.BuildComment('Comment', p, 1), p[2])

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https://github.com/ChromiumWebApps/chromium/blob/c7361d39be8abd1574e6ce8957c8dbddd4c6ccf7/tools/idl_parser/idl_parser.py#L177-L181

thalium/icebox

99d147d5b9269222225443ce171b4fd46d8985d4

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

python

xmlDoc.stringLenGetNodeList

(self, value, len)

return __tmp

Parse the value string and build the node list associated. Should produce a flat tree with only TEXTs and ENTITY_REFs.

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def stringLenGetNodeList(self, value, len): """Parse the value string and build the node list associated. Should produce a flat tree with only TEXTs and ENTITY_REFs. """ ret = libxml2mod.xmlStringLenGetNodeList(self._o, value, len) if ret is None:raise treeError('xmlStringLenGetNodeList() failed') __tmp = xmlNode(_obj=ret) return __tmp

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https://github.com/thalium/icebox/blob/99d147d5b9269222225443ce171b4fd46d8985d4/third_party/virtualbox/src/libs/libxml2-2.9.4/python/libxml2.py#L4585-L4591

hanpfei/chromium-net

392cc1fa3a8f92f42e4071ab6e674d8e0482f83f

third_party/catapult/third_party/webapp2/webapp2_extras/appengine/auth/models.py

python

UserToken.create

(cls, user, subject, token=None)

return entity

Creates a new token for the given user. :param user: User unique ID. :param subject: The subject of the key. Examples: - 'auth' - 'signup' :param token: Optionally an existing token may be provided. If None, a random token will be generated. :returns: The newly created :class:`UserToken`.

Creates a new token for the given user.

[ "Creates", "a", "new", "token", "for", "the", "given", "user", "." ]

def create(cls, user, subject, token=None): """Creates a new token for the given user. :param user: User unique ID. :param subject: The subject of the key. Examples: - 'auth' - 'signup' :param token: Optionally an existing token may be provided. If None, a random token will be generated. :returns: The newly created :class:`UserToken`. """ user = str(user) token = token or security.generate_random_string(entropy=128) key = cls.get_key(user, subject, token) entity = cls(key=key, user=user, subject=subject, token=token) entity.put() return entity

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https://github.com/hanpfei/chromium-net/blob/392cc1fa3a8f92f42e4071ab6e674d8e0482f83f/third_party/catapult/third_party/webapp2/webapp2_extras/appengine/auth/models.py#L157-L178

LiquidPlayer/LiquidCore

9405979363f2353ac9a71ad8ab59685dd7f919c9

deps/boost_1_66_0/tools/build/src/util/utility.py

python

forward_slashes

(s)

return s.replace('\\', '/')

Converts all backslashes to forward slashes.

[ "Converts", "all", "backslashes", "to", "forward", "slashes", "." ]

def forward_slashes (s): """ Converts all backslashes to forward slashes. """ assert isinstance(s, basestring) return s.replace('\\', '/')

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https://github.com/LiquidPlayer/LiquidCore/blob/9405979363f2353ac9a71ad8ab59685dd7f919c9/deps/boost_1_66_0/tools/build/src/util/utility.py#L134-L138

mindspore-ai/mindspore

fb8fd3338605bb34fa5cea054e535a8b1d753fab

mindspore/python/mindspore/_extends/parse/standard_method.py

python

max

(x, axis=None, keepdims=False, initial=None, where=True)

return compile_utils.reduce_(x, P.ReduceMax(keepdims), cmp_fn=F.maximum, axis=axis, keepdims=keepdims, initial=initial, where=where)

Returns the maximum of a tensor or maximum along an axis. Args: x (Tensor): Input Tensor. axis (None or int or tuple of ints, optional): defaults to None. Axis or axes along which to operate. By default, flattened input is used. If this is a tuple of ints, the maximum is selected over multiple axes, instead of a single axis or all the axes as before. keepdims (boolean, optional): defaults to False. If this is set to True, the axes which are reduced are left in the result as dimensions with size one. With this option, the result will broadcast correctly against the input array. initial (scalar, optional): The minimum value of an output element. Must be present to allow computation on empty slice. where (boolean Tensor, optional): defaults to True. A boolean array which is broadcasted to match the dimensions of array, and selects elements to include in the reduction. If non-default value is passed, initial must also be provided. Returns: Tensor or scalar, maximum of input tensor. If `axis` is None, the result is a scalar value. If `axis` is given, the result is an array of dimension ``a.ndim - 1``. Raises: TypeError: if the input is not a tensor. Supported Platforms: ``Ascend`` ``GPU`` ``CPU`` Examples: >>> import numpy as np >>> from mindspore import Tensor >>> import mindspore.numpy as np >>> a = Tensor(np.arange(4).reshape((2,2)).astype('float32')) >>> output = a.max() >>> print(output) 3.0

Returns the maximum of a tensor or maximum along an axis.

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def max(x, axis=None, keepdims=False, initial=None, where=True): # pylint: disable=redefined-builtin """ Returns the maximum of a tensor or maximum along an axis. Args: x (Tensor): Input Tensor. axis (None or int or tuple of ints, optional): defaults to None. Axis or axes along which to operate. By default, flattened input is used. If this is a tuple of ints, the maximum is selected over multiple axes, instead of a single axis or all the axes as before. keepdims (boolean, optional): defaults to False. If this is set to True, the axes which are reduced are left in the result as dimensions with size one. With this option, the result will broadcast correctly against the input array. initial (scalar, optional): The minimum value of an output element. Must be present to allow computation on empty slice. where (boolean Tensor, optional): defaults to True. A boolean array which is broadcasted to match the dimensions of array, and selects elements to include in the reduction. If non-default value is passed, initial must also be provided. Returns: Tensor or scalar, maximum of input tensor. If `axis` is None, the result is a scalar value. If `axis` is given, the result is an array of dimension ``a.ndim - 1``. Raises: TypeError: if the input is not a tensor. Supported Platforms: ``Ascend`` ``GPU`` ``CPU`` Examples: >>> import numpy as np >>> from mindspore import Tensor >>> import mindspore.numpy as np >>> a = Tensor(np.arange(4).reshape((2,2)).astype('float32')) >>> output = a.max() >>> print(output) 3.0 """ return compile_utils.reduce_(x, P.ReduceMax(keepdims), cmp_fn=F.maximum, axis=axis, keepdims=keepdims, initial=initial, where=where)

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https://github.com/mindspore-ai/mindspore/blob/fb8fd3338605bb34fa5cea054e535a8b1d753fab/mindspore/python/mindspore/_extends/parse/standard_method.py#L592-L634

FreeCAD/FreeCAD

ba42231b9c6889b89e064d6d563448ed81e376ec

src/Mod/Path/PathScripts/PathSlotGui.py

python

TaskPanelOpPage.getSignalsForUpdate

(self, obj)

return signals

getSignalsForUpdate(obj) ... return list of signals for updating obj

[ "getSignalsForUpdate", "(", "obj", ")", "...", "return", "list", "of", "signals", "for", "updating", "obj" ]

def getSignalsForUpdate(self, obj): '''getSignalsForUpdate(obj) ... return list of signals for updating obj''' debugMsg('getSignalsForUpdate()') signals = [] signals.append(self.form.toolController.currentIndexChanged) signals.append(self.form.coolantController.currentIndexChanged) signals.append(self.form.geo1Extension.editingFinished) signals.append(self.form.geo1Reference.currentIndexChanged) signals.append(self.form.geo2Extension.editingFinished) signals.append(self.form.geo2Reference.currentIndexChanged) signals.append(self.form.layerMode.currentIndexChanged) signals.append(self.form.pathOrientation.currentIndexChanged) signals.append(self.form.reverseDirection.stateChanged) return signals

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https://github.com/FreeCAD/FreeCAD/blob/ba42231b9c6889b89e064d6d563448ed81e376ec/src/Mod/Path/PathScripts/PathSlotGui.py#L125-L138

Xilinx/Vitis-AI

fc74d404563d9951b57245443c73bef389f3657f

tools/Vitis-AI-Quantizer/vai_q_tensorflow1.x/tensorflow/contrib/timeseries/python/timeseries/model.py

python

SequentialTimeSeriesModel._apply_exogenous_update

( self, current_times, step_number, state, raw_features, embedded_exogenous_regressors)

Performs a conditional state update based on exogenous features.

[ "Performs", "a", "conditional", "state", "update", "based", "on", "exogenous", "features", "." ]

def _apply_exogenous_update( self, current_times, step_number, state, raw_features, embedded_exogenous_regressors): """Performs a conditional state update based on exogenous features.""" if embedded_exogenous_regressors is None: return state else: current_exogenous_regressors = embedded_exogenous_regressors[ :, step_number, :] exogenous_updated_state = self._exogenous_input_step( current_times=current_times, current_exogenous_regressors=current_exogenous_regressors, state=state) if self._exogenous_update_condition is not None: current_raw_exogenous_features = { key: value[:, step_number] for key, value in raw_features.items() if key not in [PredictionFeatures.STATE_TUPLE, TrainEvalFeatures.TIMES, TrainEvalFeatures.VALUES]} conditionally_updated_state_flat = [] for updated_state_element, original_state_element in zip( nest.flatten(exogenous_updated_state), nest.flatten(state)): conditionally_updated_state_flat.append( array_ops.where( self._exogenous_update_condition( times=current_times, features=current_raw_exogenous_features), updated_state_element, original_state_element)) return nest.pack_sequence_as(state, conditionally_updated_state_flat) else: return exogenous_updated_state

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https://github.com/Xilinx/Vitis-AI/blob/fc74d404563d9951b57245443c73bef389f3657f/tools/Vitis-AI-Quantizer/vai_q_tensorflow1.x/tensorflow/contrib/timeseries/python/timeseries/model.py#L550-L582

benoitsteiner/tensorflow-opencl

cb7cb40a57fde5cfd4731bc551e82a1e2fef43a5

tensorflow/contrib/learn/python/learn/utils/saved_model_export_utils.py

python

BestModelSelector.__init__

(self, compare_fn=None)

Constructor of this class. Args: compare_fn: a function that returns true if the candidate is better than the current best model.

Constructor of this class.

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def __init__(self, compare_fn=None): """Constructor of this class. Args: compare_fn: a function that returns true if the candidate is better than the current best model. """ self._best_eval_result = None self._compare_fn = compare_fn or _default_compare_fn

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https://github.com/benoitsteiner/tensorflow-opencl/blob/cb7cb40a57fde5cfd4731bc551e82a1e2fef43a5/tensorflow/contrib/learn/python/learn/utils/saved_model_export_utils.py#L545-L553

aws/lumberyard

f85344403c1c2e77ec8c75deb2c116e97b713217

dev/Tools/Python/3.7.10/windows/Lib/tkinter/__init__.py

python

Misc.winfo_toplevel

(self)

return self._nametowidget(self.tk.call( 'winfo', 'toplevel', self._w))

Return the toplevel widget of this widget.

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def winfo_toplevel(self): """Return the toplevel widget of this widget.""" return self._nametowidget(self.tk.call( 'winfo', 'toplevel', self._w))

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https://github.com/aws/lumberyard/blob/f85344403c1c2e77ec8c75deb2c116e97b713217/dev/Tools/Python/3.7.10/windows/Lib/tkinter/__init__.py#L1107-L1110

swift/swift

12d031cf8177fdec0137f9aa7e2912fa23c4416b

3rdParty/SCons/scons-3.0.1/engine/SCons/Node/__init__.py

python

Node.has_explicit_builder

(self)

Return whether this Node has an explicit builder This allows an internal Builder created by SCons to be marked non-explicit, so that it can be overridden by an explicit builder that the user supplies (the canonical example being directories).

Return whether this Node has an explicit builder

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def has_explicit_builder(self): """Return whether this Node has an explicit builder This allows an internal Builder created by SCons to be marked non-explicit, so that it can be overridden by an explicit builder that the user supplies (the canonical example being directories).""" try: return self.is_explicit except AttributeError: self.is_explicit = None return self.is_explicit

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https://github.com/swift/swift/blob/12d031cf8177fdec0137f9aa7e2912fa23c4416b/3rdParty/SCons/scons-3.0.1/engine/SCons/Node/__init__.py#L881-L892

mindspore-ai/mindspore

fb8fd3338605bb34fa5cea054e535a8b1d753fab

mindspore/lite/examples/export_models/models/mini_alexnet.py

python

AlexNet.construct

(self, x)

return x

define network

[ "define", "network" ]

def construct(self, x): """define network""" x = self.conv1(x) x = self.relu(x) x = self.max_pool2d(x) x = self.conv2(x) x = self.relu(x) x = self.max_pool2d(x) if not self.include_top: return x x = self.flatten(x) x = self.fc1(x) x = self.relu(x) x = self.dropout(x) x = self.fc2(x) x = self.relu(x) x = self.dropout(x) x = self.fc3(x) return x

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https://github.com/mindspore-ai/mindspore/blob/fb8fd3338605bb34fa5cea054e535a8b1d753fab/mindspore/lite/examples/export_models/models/mini_alexnet.py#L51-L69

apache/trafodion

8455c839ad6b6d7b6e04edda5715053095b78046

install/python-installer/scripts/traf_discover.py

python

Discover.get_pidmax

(self)

return self._get_sysctl_info('kernel.pid_max')

get kernel pid max setting

[ "get", "kernel", "pid", "max", "setting" ]

def get_pidmax(self): """ get kernel pid max setting """ return self._get_sysctl_info('kernel.pid_max')

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wxWidgets/wxPython-Classic

19571e1ae65f1ac445f5491474121998c97a1bf0

src/osx_cocoa/grid.py

python

Grid.IsReadOnly

(*args, **kwargs)

return _grid.Grid_IsReadOnly(*args, **kwargs)

IsReadOnly(self, int row, int col) -> bool

[ "IsReadOnly", "(", "self", "int", "row", "int", "col", ")", "-", ">", "bool" ]

def IsReadOnly(*args, **kwargs): """IsReadOnly(self, int row, int col) -> bool""" return _grid.Grid_IsReadOnly(*args, **kwargs)

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https://github.com/wxWidgets/wxPython-Classic/blob/19571e1ae65f1ac445f5491474121998c97a1bf0/src/osx_cocoa/grid.py#L2018-L2020

dolphin-emu/dolphin

b4c7f2b1e834ce5ea4b2301f9d4fb07c11afeabb

Externals/glslang/update_glslang_sources.py

python

GetGoodCommits

(site)

Returns the latest list of GoodCommit objects.

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def GetGoodCommits(site): """Returns the latest list of GoodCommit objects.""" known_good_file = SITE_TO_KNOWN_GOOD_FILE[site] with open(known_good_file) as known_good: return [GoodCommit(c) for c in json.loads(known_good.read())['commits']]

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https://github.com/dolphin-emu/dolphin/blob/b4c7f2b1e834ce5ea4b2301f9d4fb07c11afeabb/Externals/glslang/update_glslang_sources.py#L124-L128

nvdla/sw

79538ba1b52b040a4a4645f630e457fa01839e90

umd/external/protobuf-2.6/python/mox.py

python

UnorderedGroup.IsSatisfied

(self)

return len(self._methods) == 0

Return True if there are not any methods in this group.

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def IsSatisfied(self): """Return True if there are not any methods in this group.""" return len(self._methods) == 0

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https://github.com/nvdla/sw/blob/79538ba1b52b040a4a4645f630e457fa01839e90/umd/external/protobuf-2.6/python/mox.py#L1257-L1260

root-project/root

fcd3583bb14852bf2e8cd2415717cbaac0e75896

bindings/pyroot/pythonizations/python/ROOT/_pythonization/_roofit/_rooprodpdf.py

python

RooProdPdf.__init__

(self, *args, **kwargs)

r"""The RooProdPdf constructor is pythonized with the command argument pythonization. The keywords must correspond to the CmdArgs of the constructor.

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def __init__(self, *args, **kwargs): r"""The RooProdPdf constructor is pythonized with the command argument pythonization. The keywords must correspond to the CmdArgs of the constructor. """ args, kwargs = _kwargs_to_roocmdargs(*args, **kwargs) self._init(*args, **kwargs)

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https://github.com/root-project/root/blob/fcd3583bb14852bf2e8cd2415717cbaac0e75896/bindings/pyroot/pythonizations/python/ROOT/_pythonization/_roofit/_rooprodpdf.py#L40-L45

OAID/Tengine

66b2c22ad129d25e2fc6de3b22a608bb54dd90db

pytengine/tengine/node.py

python

Node.__init__

(self, graph=None, name=None, op=None, node=None)

Create a node object for the graph. :param graph: <graph object> :param name: <str> node_name: The name of the node. :param op: <str> op_name: The name of the operate. :param node: <node pointer>

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def __init__(self, graph=None, name=None, op=None, node=None): """ Create a node object for the graph. :param graph: <graph object> :param name: <str> node_name: The name of the node. :param op: <str> op_name: The name of the operate. :param node: <node pointer> """ if node: self.node = node else: _LIB.create_graph_node.restype = node_t self.node = _LIB.create_graph_node( ctypes.c_void_p(graph.graph), c_str(name), c_str(op) ) self._attr = {} pass

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https://github.com/OAID/Tengine/blob/66b2c22ad129d25e2fc6de3b22a608bb54dd90db/pytengine/tengine/node.py#L10-L26

gv22ga/dlib-face-recognition-android

42d6305cbd85833f2b85bb79b70ab9ab004153c9

tools/lint/cpplint.py

python

IsBlankLine

(line)

return not line or line.isspace()

Returns true if the given line is blank. We consider a line to be blank if the line is empty or consists of only white spaces. Args: line: A line of a string. Returns: True, if the given line is blank.

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def IsBlankLine(line): """Returns true if the given line is blank. We consider a line to be blank if the line is empty or consists of only white spaces. Args: line: A line of a string. Returns: True, if the given line is blank. """ return not line or line.isspace()

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https://github.com/gv22ga/dlib-face-recognition-android/blob/42d6305cbd85833f2b85bb79b70ab9ab004153c9/tools/lint/cpplint.py#L2781-L2790

mantidproject/mantid

03deeb89254ec4289edb8771e0188c2090a02f32

scripts/SANS/ISISCommandInterface.py

python

SetTransmissionMonitorSpectrum

(trans_mon)

Sets the transmission monitor spectrum. @param trans_mon :: The spectrum to set.

Sets the transmission monitor spectrum.

[ "Sets", "the", "transmission", "monitor", "spectrum", "." ]

def SetTransmissionMonitorSpectrum(trans_mon): """ Sets the transmission monitor spectrum. @param trans_mon :: The spectrum to set. """ if su.is_convertible_to_int(trans_mon): transmission_monitor = int(trans_mon) if transmission_monitor == 4: transmission_monitor = ReductionSingleton().instrument.get_m4_monitor_det_ID() ReductionSingleton().transmission_calculator.trans_mon = transmission_monitor else: sanslog.warning('Warning: Could not convert the transmission monitor spectrum to int.')

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https://github.com/mantidproject/mantid/blob/03deeb89254ec4289edb8771e0188c2090a02f32/scripts/SANS/ISISCommandInterface.py#L1350-L1361

wxWidgets/wxPython-Classic

19571e1ae65f1ac445f5491474121998c97a1bf0

src/msw/aui.py

python

AuiToolBar.GetToolSticky

(*args, **kwargs)

return _aui.AuiToolBar_GetToolSticky(*args, **kwargs)

GetToolSticky(self, int toolId) -> bool

[ "GetToolSticky", "(", "self", "int", "toolId", ")", "-", ">", "bool" ]

def GetToolSticky(*args, **kwargs): """GetToolSticky(self, int toolId) -> bool""" return _aui.AuiToolBar_GetToolSticky(*args, **kwargs)

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https://github.com/wxWidgets/wxPython-Classic/blob/19571e1ae65f1ac445f5491474121998c97a1bf0/src/msw/aui.py#L2214-L2216

cyberbotics/webots

af7fa7d68dcf7b4550f1f2e132092b41e83698fc

resources/osm_importer/utils/shapely_utils.py

python

convert_polygon_to_vector2d_list

(polygon)

return [Vector2D(x, y) for (x, y) in coords]

Convert a shapely polygon to a list of Vector2D.

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def convert_polygon_to_vector2d_list(polygon): """Convert a shapely polygon to a list of Vector2D.""" assert isinstance(polygon, Polygon) or isinstance(polygon, MultiPolygon) coords = [] if isinstance(polygon, Polygon): coords = polygon.exterior.coords elif isinstance(polygon, MultiPolygon): for geom in polygon.geoms: coords += geom.exterior.coords else: return None return [Vector2D(x, y) for (x, y) in coords]

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https://github.com/cyberbotics/webots/blob/af7fa7d68dcf7b4550f1f2e132092b41e83698fc/resources/osm_importer/utils/shapely_utils.py#L88-L99

mantidproject/mantid

03deeb89254ec4289edb8771e0188c2090a02f32

qt/python/mantidqtinterfaces/mantidqtinterfaces/Muon/GUI/Common/results_tab_widget/results_tab_model.py

python

ResultsTabModel.results_table_name

(self)

return self._results_table_name

Return the current name of the results table

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def results_table_name(self): """Return the current name of the results table""" return self._results_table_name

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https://github.com/mantidproject/mantid/blob/03deeb89254ec4289edb8771e0188c2090a02f32/qt/python/mantidqtinterfaces/mantidqtinterfaces/Muon/GUI/Common/results_tab_widget/results_tab_model.py#L57-L59

aws/lumberyard

f85344403c1c2e77ec8c75deb2c116e97b713217

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

python

genops

(pickle)

return _genops(pickle)

Generate all the opcodes in a pickle. 'pickle' is a file-like object, or string, containing the pickle. Each opcode in the pickle is generated, from the current pickle position, stopping after a STOP opcode is delivered. A triple is generated for each opcode: opcode, arg, pos opcode is an OpcodeInfo record, describing the current opcode. If the opcode has an argument embedded in the pickle, arg is its decoded value, as a Python object. If the opcode doesn't have an argument, arg is None. If the pickle has a tell() method, pos was the value of pickle.tell() before reading the current opcode. If the pickle is a bytes object, it's wrapped in a BytesIO object, and the latter's tell() result is used. Else (the pickle doesn't have a tell(), and it's not obvious how to query its current position) pos is None.

Generate all the opcodes in a pickle.

[ "Generate", "all", "the", "opcodes", "in", "a", "pickle", "." ]

def genops(pickle): """Generate all the opcodes in a pickle. 'pickle' is a file-like object, or string, containing the pickle. Each opcode in the pickle is generated, from the current pickle position, stopping after a STOP opcode is delivered. A triple is generated for each opcode: opcode, arg, pos opcode is an OpcodeInfo record, describing the current opcode. If the opcode has an argument embedded in the pickle, arg is its decoded value, as a Python object. If the opcode doesn't have an argument, arg is None. If the pickle has a tell() method, pos was the value of pickle.tell() before reading the current opcode. If the pickle is a bytes object, it's wrapped in a BytesIO object, and the latter's tell() result is used. Else (the pickle doesn't have a tell(), and it's not obvious how to query its current position) pos is None. """ return _genops(pickle)

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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/pickletools.py#L2222-L2245

qgis/QGIS

15a77662d4bb712184f6aa60d0bd663010a76a75

python/pyplugin_installer/version_compare.py

python

classifyCharacter

(c)

return 0 for delimiter, 1 for digit and 2 for alphabetic character

[ "return", "0", "for", "delimiter", "1", "for", "digit", "and", "2", "for", "alphabetic", "character" ]

def classifyCharacter(c): """ return 0 for delimiter, 1 for digit and 2 for alphabetic character """ if c in [".", "-", "_", " "]: return 0 if c.isdigit(): return 1 else: return 2

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https://github.com/qgis/QGIS/blob/15a77662d4bb712184f6aa60d0bd663010a76a75/python/pyplugin_installer/version_compare.py#L72-L79

LARG/HFO

b8b2a1d462823c6732f4d5581aa7fe2e371d55cb

bin/Trainer.py

python

Trainer.registerMsgHandler

(self,handler,*args,**kwargs)

Register a message handler. Handler will be called on a message that matches *args.

Register a message handler.

[ "Register", "a", "message", "handler", "." ]

def registerMsgHandler(self,handler,*args,**kwargs): '''Register a message handler. Handler will be called on a message that matches *args. ''' args = list(args) i,_,_ = self._findHandlerInd(args) if i < 0: self._msgHandlers.append([args,handler]) else: if ('quiet' not in kwargs) or (not kwargs['quiet']): print('Updating handler for %s' % (' '.join(args))) self._msgHandlers[i] = [args,handler]

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https://github.com/LARG/HFO/blob/b8b2a1d462823c6732f4d5581aa7fe2e371d55cb/bin/Trainer.py#L254-L267

catboost/catboost

167f64f237114a4d10b2b4ee42adb4569137debe

contrib/tools/python/src/Lib/lib-tk/turtle.py

python

TNavigator.goto

(self, x, y=None)

Move turtle to an absolute position. Aliases: setpos | setposition | goto: Arguments: x -- a number or a pair/vector of numbers y -- a number None call: goto(x, y) # two coordinates --or: goto((x, y)) # a pair (tuple) of coordinates --or: goto(vec) # e.g. as returned by pos() Move turtle to an absolute position. If the pen is down, a line will be drawn. The turtle's orientation does not change. Example (for a Turtle instance named turtle): >>> tp = turtle.pos() >>> tp (0.00, 0.00) >>> turtle.setpos(60,30) >>> turtle.pos() (60.00,30.00) >>> turtle.setpos((20,80)) >>> turtle.pos() (20.00,80.00) >>> turtle.setpos(tp) >>> turtle.pos() (0.00,0.00)

Move turtle to an absolute position.

[ "Move", "turtle", "to", "an", "absolute", "position", "." ]

def goto(self, x, y=None): """Move turtle to an absolute position. Aliases: setpos | setposition | goto: Arguments: x -- a number or a pair/vector of numbers y -- a number None call: goto(x, y) # two coordinates --or: goto((x, y)) # a pair (tuple) of coordinates --or: goto(vec) # e.g. as returned by pos() Move turtle to an absolute position. If the pen is down, a line will be drawn. The turtle's orientation does not change. Example (for a Turtle instance named turtle): >>> tp = turtle.pos() >>> tp (0.00, 0.00) >>> turtle.setpos(60,30) >>> turtle.pos() (60.00,30.00) >>> turtle.setpos((20,80)) >>> turtle.pos() (20.00,80.00) >>> turtle.setpos(tp) >>> turtle.pos() (0.00,0.00) """ if y is None: self._goto(Vec2D(*x)) else: self._goto(Vec2D(x, y))

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https://github.com/catboost/catboost/blob/167f64f237114a4d10b2b4ee42adb4569137debe/contrib/tools/python/src/Lib/lib-tk/turtle.py#L1659-L1692

catboost/catboost

167f64f237114a4d10b2b4ee42adb4569137debe

contrib/python/ipython/py3/IPython/core/completer.py

python

provisionalcompleter

(action='ignore')

This context manager has to be used in any place where unstable completer behavior and API may be called. >>> with provisionalcompleter(): ... completer.do_experimental_things() # works >>> completer.do_experimental_things() # raises. .. note:: Unstable By using this context manager you agree that the API in use may change without warning, and that you won't complain if they do so. You also understand that, if the API is not to your liking, you should report a bug to explain your use case upstream. We'll be happy to get your feedback, feature requests, and improvements on any of the unstable APIs!

[]

def provisionalcompleter(action='ignore'): """ This context manager has to be used in any place where unstable completer behavior and API may be called. >>> with provisionalcompleter(): ... completer.do_experimental_things() # works >>> completer.do_experimental_things() # raises. .. note:: Unstable By using this context manager you agree that the API in use may change without warning, and that you won't complain if they do so. You also understand that, if the API is not to your liking, you should report a bug to explain your use case upstream. We'll be happy to get your feedback, feature requests, and improvements on any of the unstable APIs! """ with warnings.catch_warnings(): warnings.filterwarnings(action, category=ProvisionalCompleterWarning) yield

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https://github.com/catboost/catboost/blob/167f64f237114a4d10b2b4ee42adb4569137debe/contrib/python/ipython/py3/IPython/core/completer.py#L190-L217

benoitsteiner/tensorflow-opencl

cb7cb40a57fde5cfd4731bc551e82a1e2fef43a5

tensorflow/python/debug/lib/debug_data.py

python

DebugDumpDir.devices

(self)

return self._device_names

Get the list of device names. Returns: (`list` of `str`) names of the devices.

Get the list of device names.

[ "Get", "the", "list", "of", "device", "names", "." ]

def devices(self): """Get the list of device names. Returns: (`list` of `str`) names of the devices. """ return self._device_names

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https://github.com/benoitsteiner/tensorflow-opencl/blob/cb7cb40a57fde5cfd4731bc551e82a1e2fef43a5/tensorflow/python/debug/lib/debug_data.py#L1258-L1264

catboost/catboost

167f64f237114a4d10b2b4ee42adb4569137debe

contrib/python/pandas/py3/pandas/core/series.py

python

Series._binop

(self, other: Series, func, level=None, fill_value=None)

return this._construct_result(result, name)

Perform generic binary operation with optional fill value. Parameters ---------- other : Series func : binary operator fill_value : float or object Value to substitute for NA/null values. If both Series are NA in a location, the result will be NA regardless of the passed fill value. level : int or level name, default None Broadcast across a level, matching Index values on the passed MultiIndex level. Returns ------- Series

Perform generic binary operation with optional fill value.

[ "Perform", "generic", "binary", "operation", "with", "optional", "fill", "value", "." ]

def _binop(self, other: Series, func, level=None, fill_value=None): """ Perform generic binary operation with optional fill value. Parameters ---------- other : Series func : binary operator fill_value : float or object Value to substitute for NA/null values. If both Series are NA in a location, the result will be NA regardless of the passed fill value. level : int or level name, default None Broadcast across a level, matching Index values on the passed MultiIndex level. Returns ------- Series """ if not isinstance(other, Series): raise AssertionError("Other operand must be Series") this = self if not self.index.equals(other.index): this, other = self.align(other, level=level, join="outer", copy=False) this_vals, other_vals = ops.fill_binop(this._values, other._values, fill_value) with np.errstate(all="ignore"): result = func(this_vals, other_vals) name = ops.get_op_result_name(self, other) return this._construct_result(result, name)

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https://github.com/catboost/catboost/blob/167f64f237114a4d10b2b4ee42adb4569137debe/contrib/python/pandas/py3/pandas/core/series.py#L2881-L2914

ricardoquesada/Spidermonkey

4a75ea2543408bd1b2c515aa95901523eeef7858

build/compare-mozconfig/compare-mozconfigs.py

python

get_mozconfig

(path, options)

Consumes a path and returns a list of lines from the mozconfig file. If download is required, the path specified should be relative to the root of the hg repository e.g browser/config/mozconfigs/linux32/nightly

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def get_mozconfig(path, options): """Consumes a path and returns a list of lines from the mozconfig file. If download is required, the path specified should be relative to the root of the hg repository e.g browser/config/mozconfigs/linux32/nightly""" if options.no_download: return open(path, 'r').readlines() else: url = make_hg_url(options.hghost, options.branch, 'http', options.revision, path) return urllib2.urlopen(url).readlines()

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https://github.com/ricardoquesada/Spidermonkey/blob/4a75ea2543408bd1b2c515aa95901523eeef7858/build/compare-mozconfig/compare-mozconfigs.py#L114-L124

google/mediapipe

e6c19885c6d3c6f410c730952aeed2852790d306

mediapipe/examples/desktop/media_sequence/charades_dataset.py

python

Charades.generate_examples

(self, path_to_mediapipe_binary, path_to_graph_directory)

Downloads data and generates sharded TFRecords. Downloads the data files, generates metadata, and processes the metadata with MediaPipe to produce tf.SequenceExamples for training. The resulting files can be read with as_dataset(). After running this function the original data files can be deleted. Args: path_to_mediapipe_binary: Path to the compiled binary for the BUILD target mediapipe/examples/desktop/demo:media_sequence_demo. path_to_graph_directory: Path to the directory with MediaPipe graphs in mediapipe/graphs/media_sequence/.

Downloads data and generates sharded TFRecords.

[ "Downloads", "data", "and", "generates", "sharded", "TFRecords", "." ]

def generate_examples(self, path_to_mediapipe_binary, path_to_graph_directory): """Downloads data and generates sharded TFRecords. Downloads the data files, generates metadata, and processes the metadata with MediaPipe to produce tf.SequenceExamples for training. The resulting files can be read with as_dataset(). After running this function the original data files can be deleted. Args: path_to_mediapipe_binary: Path to the compiled binary for the BUILD target mediapipe/examples/desktop/demo:media_sequence_demo. path_to_graph_directory: Path to the directory with MediaPipe graphs in mediapipe/graphs/media_sequence/. """ if not path_to_mediapipe_binary: raise ValueError( "You must supply the path to the MediaPipe binary for " "mediapipe/examples/desktop/demo:media_sequence_demo.") if not path_to_graph_directory: raise ValueError( "You must supply the path to the directory with MediaPipe graphs in " "mediapipe/graphs/media_sequence/.") logging.info("Downloading data.") annotation_dir, video_dir = self._download_data() for name, annotations, shards, _ in SPLITS.values(): annotation_file = os.path.join( annotation_dir, annotations) logging.info("Generating metadata for split: %s", name) all_metadata = list(self._generate_metadata(annotation_file, video_dir)) random.seed(47) random.shuffle(all_metadata) shard_names = [os.path.join(self.path_to_data, name + "-%05d-of-%05d" % ( i, shards)) for i in range(shards)] writers = [tf.io.TFRecordWriter(shard_name) for shard_name in shard_names] with _close_on_exit(writers) as writers: for i, seq_ex in enumerate(all_metadata): print("Processing example %d of %d (%d%%) \r" % ( i, len(all_metadata), i * 100 / len(all_metadata)), end="") for graph in GRAPHS: graph_path = os.path.join(path_to_graph_directory, graph) seq_ex = self._run_mediapipe( path_to_mediapipe_binary, seq_ex, graph_path) writers[i % len(writers)].write(seq_ex.SerializeToString()) logging.info("Data extraction complete.")

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https://github.com/google/mediapipe/blob/e6c19885c6d3c6f410c730952aeed2852790d306/mediapipe/examples/desktop/media_sequence/charades_dataset.py#L245-L289

miyosuda/TensorFlowAndroidDemo

35903e0221aa5f109ea2dbef27f20b52e317f42d

jni-build/jni/include/tensorflow/contrib/learn/python/learn/estimators/rnn.py

python

TensorFlowRNNClassifier.weights_

(self)

return self.get_variable_value('logistic_regression/weights')

Returns weights of the rnn layer.

[ "Returns", "weights", "of", "the", "rnn", "layer", "." ]

def weights_(self): """Returns weights of the rnn layer.""" return self.get_variable_value('logistic_regression/weights')

[ "def", "weights_", "(", "self", ")", ":", "return", "self", ".", "get_variable_value", "(", "'logistic_regression/weights'", ")" ]

https://github.com/miyosuda/TensorFlowAndroidDemo/blob/35903e0221aa5f109ea2dbef27f20b52e317f42d/jni-build/jni/include/tensorflow/contrib/learn/python/learn/estimators/rnn.py#L138-L140

wxWidgets/wxPython-Classic

19571e1ae65f1ac445f5491474121998c97a1bf0

src/gtk/_windows.py

python

Printout.FitThisSizeToPaper

(*args, **kwargs)

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

FitThisSizeToPaper(self, Size imageSize)

[ "FitThisSizeToPaper", "(", "self", "Size", "imageSize", ")" ]

def FitThisSizeToPaper(*args, **kwargs): """FitThisSizeToPaper(self, Size imageSize)""" return _windows_.Printout_FitThisSizeToPaper(*args, **kwargs)

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https://github.com/wxWidgets/wxPython-Classic/blob/19571e1ae65f1ac445f5491474121998c97a1bf0/src/gtk/_windows.py#L5283-L5285