nwo
stringlengths 5
86
| sha
stringlengths 40
40
| path
stringlengths 4
189
| language
stringclasses 1
value | identifier
stringlengths 1
94
| parameters
stringlengths 2
4.03k
| argument_list
stringclasses 1
value | return_statement
stringlengths 0
11.5k
| docstring
stringlengths 1
33.2k
| docstring_summary
stringlengths 0
5.15k
| docstring_tokens
sequence | function
stringlengths 34
151k
| function_tokens
sequence | url
stringlengths 90
278
|
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
mindspore-ai/mindspore | fb8fd3338605bb34fa5cea054e535a8b1d753fab | mindspore/python/mindspore/mindrecord/shardheader.py | python | ShardHeader.add_schema | (self, schema) | return schema_id | Add object of ShardSchema.
Args:
schema (ShardSchema): Object of ShardSchema.
Returns:
int, schema id.
Raises:
MRMAddSchemaError: If failed to add schema. | Add object of ShardSchema. | [
"Add",
"object",
"of",
"ShardSchema",
"."
] | def add_schema(self, schema):
"""
Add object of ShardSchema.
Args:
schema (ShardSchema): Object of ShardSchema.
Returns:
int, schema id.
Raises:
MRMAddSchemaError: If failed to add schema.
"""
schema_id = self._header.add_schema(schema)
if schema_id == -1:
logger.critical("Failed to add schema.")
raise MRMAddSchemaError
return schema_id | [
"def",
"add_schema",
"(",
"self",
",",
"schema",
")",
":",
"schema_id",
"=",
"self",
".",
"_header",
".",
"add_schema",
"(",
"schema",
")",
"if",
"schema_id",
"==",
"-",
"1",
":",
"logger",
".",
"critical",
"(",
"\"Failed to add schema.\"",
")",
"raise",
"MRMAddSchemaError",
"return",
"schema_id"
] | https://github.com/mindspore-ai/mindspore/blob/fb8fd3338605bb34fa5cea054e535a8b1d753fab/mindspore/python/mindspore/mindrecord/shardheader.py#L37-L54 |
|
aws/lumberyard | f85344403c1c2e77ec8c75deb2c116e97b713217 | dev/Tools/Python/3.7.10/linux_x64/lib/python3.7/site-packages/pip/_vendor/requests/cookies.py | python | RequestsCookieJar._find_no_duplicates | (self, name, domain=None, path=None) | Both ``__get_item__`` and ``get`` call this function: it's never
used elsewhere in Requests.
:param name: a string containing name of cookie
:param domain: (optional) string containing domain of cookie
:param path: (optional) string containing path of cookie
:raises KeyError: if cookie is not found
:raises CookieConflictError: if there are multiple cookies
that match name and optionally domain and path
:return: cookie.value | Both ``__get_item__`` and ``get`` call this function: it's never | [
"Both",
"__get_item__",
"and",
"get",
"call",
"this",
"function",
":",
"it",
"s",
"never"
] | def _find_no_duplicates(self, name, domain=None, path=None):
"""Both ``__get_item__`` and ``get`` call this function: it's never
used elsewhere in Requests.
:param name: a string containing name of cookie
:param domain: (optional) string containing domain of cookie
:param path: (optional) string containing path of cookie
:raises KeyError: if cookie is not found
:raises CookieConflictError: if there are multiple cookies
that match name and optionally domain and path
:return: cookie.value
"""
toReturn = None
for cookie in iter(self):
if cookie.name == name:
if domain is None or cookie.domain == domain:
if path is None or cookie.path == path:
if toReturn is not None: # if there are multiple cookies that meet passed in criteria
raise CookieConflictError('There are multiple cookies with name, %r' % (name))
toReturn = cookie.value # we will eventually return this as long as no cookie conflict
if toReturn:
return toReturn
raise KeyError('name=%r, domain=%r, path=%r' % (name, domain, path)) | [
"def",
"_find_no_duplicates",
"(",
"self",
",",
"name",
",",
"domain",
"=",
"None",
",",
"path",
"=",
"None",
")",
":",
"toReturn",
"=",
"None",
"for",
"cookie",
"in",
"iter",
"(",
"self",
")",
":",
"if",
"cookie",
".",
"name",
"==",
"name",
":",
"if",
"domain",
"is",
"None",
"or",
"cookie",
".",
"domain",
"==",
"domain",
":",
"if",
"path",
"is",
"None",
"or",
"cookie",
".",
"path",
"==",
"path",
":",
"if",
"toReturn",
"is",
"not",
"None",
":",
"# if there are multiple cookies that meet passed in criteria",
"raise",
"CookieConflictError",
"(",
"'There are multiple cookies with name, %r'",
"%",
"(",
"name",
")",
")",
"toReturn",
"=",
"cookie",
".",
"value",
"# we will eventually return this as long as no cookie conflict",
"if",
"toReturn",
":",
"return",
"toReturn",
"raise",
"KeyError",
"(",
"'name=%r, domain=%r, path=%r'",
"%",
"(",
"name",
",",
"domain",
",",
"path",
")",
")"
] | https://github.com/aws/lumberyard/blob/f85344403c1c2e77ec8c75deb2c116e97b713217/dev/Tools/Python/3.7.10/linux_x64/lib/python3.7/site-packages/pip/_vendor/requests/cookies.py#L751-L797 |
||
Ewenwan/MVision | 97b394dfa48cb21c82cd003b1a952745e413a17f | CNN/SqueezeNet/SqueezeNet-SSD-OD/ssd_detect.py | python | main | (args) | main | main | [
"main"
] | def main(args):
'''main '''
# 定义一个检测器类
detection = CaffeDetection(args.gpu_id,
args.model_def, args.model_weights,
args.image_resize, args.labelmap_file)
# 检测并获取结果
result = detection.detect(args.image_file)
# 打印结果
print result
#结果显示
img = Image.open(args.image_file)#打开图像
draw = ImageDraw.Draw(img)#显示
width, height = img.size#原来图像大小
print width, height
for item in result:
# 获取坐标实际整数值
xmin = int(round(item[0] * width))
ymin = int(round(item[1] * height))
xmax = int(round(item[2] * width))
ymax = int(round(item[3] * height))
draw.rectangle([xmin, ymin, xmax, ymax], outline=(255, 0, 0))#红色框
# [6] label_name [5] score
draw.text([xmin, ymin], item[-1] + str(item[-2]), (0, 0, 255))#显示文本标签 绿色
print item
print [xmin, ymin, xmax, ymax]
print [xmin, ymin], item[-1]
img.save('detect_result.jpg') | [
"def",
"main",
"(",
"args",
")",
":",
"# 定义一个检测器类",
"detection",
"=",
"CaffeDetection",
"(",
"args",
".",
"gpu_id",
",",
"args",
".",
"model_def",
",",
"args",
".",
"model_weights",
",",
"args",
".",
"image_resize",
",",
"args",
".",
"labelmap_file",
")",
"# 检测并获取结果",
"result",
"=",
"detection",
".",
"detect",
"(",
"args",
".",
"image_file",
")",
"# 打印结果",
"print",
"result",
"#结果显示",
"img",
"=",
"Image",
".",
"open",
"(",
"args",
".",
"image_file",
")",
"#打开图像",
"draw",
"=",
"ImageDraw",
".",
"Draw",
"(",
"img",
")",
"#显示",
"width",
",",
"height",
"=",
"img",
".",
"size",
"#原来图像大小",
"print",
"width",
",",
"height",
"for",
"item",
"in",
"result",
":",
"# 获取坐标实际整数值",
"xmin",
"=",
"int",
"(",
"round",
"(",
"item",
"[",
"0",
"]",
"*",
"width",
")",
")",
"ymin",
"=",
"int",
"(",
"round",
"(",
"item",
"[",
"1",
"]",
"*",
"height",
")",
")",
"xmax",
"=",
"int",
"(",
"round",
"(",
"item",
"[",
"2",
"]",
"*",
"width",
")",
")",
"ymax",
"=",
"int",
"(",
"round",
"(",
"item",
"[",
"3",
"]",
"*",
"height",
")",
")",
"draw",
".",
"rectangle",
"(",
"[",
"xmin",
",",
"ymin",
",",
"xmax",
",",
"ymax",
"]",
",",
"outline",
"=",
"(",
"255",
",",
"0",
",",
"0",
")",
")",
"#红色框",
"# [6] label_name [5] score ",
"draw",
".",
"text",
"(",
"[",
"xmin",
",",
"ymin",
"]",
",",
"item",
"[",
"-",
"1",
"]",
"+",
"str",
"(",
"item",
"[",
"-",
"2",
"]",
")",
",",
"(",
"0",
",",
"0",
",",
"255",
")",
")",
"#显示文本标签 绿色",
"print",
"item",
"print",
"[",
"xmin",
",",
"ymin",
",",
"xmax",
",",
"ymax",
"]",
"print",
"[",
"xmin",
",",
"ymin",
"]",
",",
"item",
"[",
"-",
"1",
"]",
"img",
".",
"save",
"(",
"'detect_result.jpg'",
")"
] | https://github.com/Ewenwan/MVision/blob/97b394dfa48cb21c82cd003b1a952745e413a17f/CNN/SqueezeNet/SqueezeNet-SSD-OD/ssd_detect.py#L122-L149 |
||
cms-sw/cmssw | fd9de012d503d3405420bcbeec0ec879baa57cf2 | Alignment/OfflineValidation/python/TkAlAllInOneTool/zMuMuValidation.py | python | ZMuMuValidation.appendToPlots | (self) | return replaceByMap(' filenames.push_back("root://eoscms//eos/cms/store/group/alca_trackeralign/AlignmentValidation/.oO[eosdir]Oo./BiasCheck.root"); titles.push_back(".oO[title]Oo."); colors.push_back(.oO[color]Oo.); linestyles.push_back(.oO[style]Oo.);\n', repMap) | if no argument or "" is passed a string with an instantiation is
returned, else the validation is appended to the list | if no argument or "" is passed a string with an instantiation is
returned, else the validation is appended to the list | [
"if",
"no",
"argument",
"or",
"is",
"passed",
"a",
"string",
"with",
"an",
"instantiation",
"is",
"returned",
"else",
"the",
"validation",
"is",
"appended",
"to",
"the",
"list"
] | def appendToPlots(self):
"""
if no argument or "" is passed a string with an instantiation is
returned, else the validation is appended to the list
"""
repMap = self.getRepMap()
return replaceByMap(' filenames.push_back("root://eoscms//eos/cms/store/group/alca_trackeralign/AlignmentValidation/.oO[eosdir]Oo./BiasCheck.root"); titles.push_back(".oO[title]Oo."); colors.push_back(.oO[color]Oo.); linestyles.push_back(.oO[style]Oo.);\n', repMap) | [
"def",
"appendToPlots",
"(",
"self",
")",
":",
"repMap",
"=",
"self",
".",
"getRepMap",
"(",
")",
"return",
"replaceByMap",
"(",
"' filenames.push_back(\"root://eoscms//eos/cms/store/group/alca_trackeralign/AlignmentValidation/.oO[eosdir]Oo./BiasCheck.root\"); titles.push_back(\".oO[title]Oo.\"); colors.push_back(.oO[color]Oo.); linestyles.push_back(.oO[style]Oo.);\\n'",
",",
"repMap",
")"
] | https://github.com/cms-sw/cmssw/blob/fd9de012d503d3405420bcbeec0ec879baa57cf2/Alignment/OfflineValidation/python/TkAlAllInOneTool/zMuMuValidation.py#L114-L120 |
|
Xilinx/Vitis-AI | fc74d404563d9951b57245443c73bef389f3657f | tools/Vitis-AI-Quantizer/vai_q_tensorflow1.x/tensorflow/contrib/seq2seq/python/ops/attention_wrapper.py | python | LuongAttention.__init__ | (self,
num_units,
memory,
memory_sequence_length=None,
scale=False,
probability_fn=None,
score_mask_value=None,
dtype=None,
custom_key_value_fn=None,
name="LuongAttention") | Construct the AttentionMechanism mechanism.
Args:
num_units: The depth of the attention mechanism.
memory: The memory to query; usually the output of an RNN encoder. This
tensor should be shaped `[batch_size, max_time, ...]`.
memory_sequence_length: (optional) Sequence lengths for the batch entries
in memory. If provided, the memory tensor rows are masked with zeros
for values past the respective sequence lengths.
scale: Python boolean. Whether to scale the energy term.
probability_fn: (optional) A `callable`. Converts the score to
probabilities. The default is `tf.nn.softmax`. Other options include
`tf.contrib.seq2seq.hardmax` and `tf.contrib.sparsemax.sparsemax`.
Its signature should be: `probabilities = probability_fn(score)`.
score_mask_value: (optional) The mask value for score before passing into
`probability_fn`. The default is -inf. Only used if
`memory_sequence_length` is not None.
dtype: The data type for the memory layer of the attention mechanism.
custom_key_value_fn: (optional): The custom function for
computing keys and values.
name: Name to use when creating ops. | Construct the AttentionMechanism mechanism. | [
"Construct",
"the",
"AttentionMechanism",
"mechanism",
"."
] | def __init__(self,
num_units,
memory,
memory_sequence_length=None,
scale=False,
probability_fn=None,
score_mask_value=None,
dtype=None,
custom_key_value_fn=None,
name="LuongAttention"):
"""Construct the AttentionMechanism mechanism.
Args:
num_units: The depth of the attention mechanism.
memory: The memory to query; usually the output of an RNN encoder. This
tensor should be shaped `[batch_size, max_time, ...]`.
memory_sequence_length: (optional) Sequence lengths for the batch entries
in memory. If provided, the memory tensor rows are masked with zeros
for values past the respective sequence lengths.
scale: Python boolean. Whether to scale the energy term.
probability_fn: (optional) A `callable`. Converts the score to
probabilities. The default is `tf.nn.softmax`. Other options include
`tf.contrib.seq2seq.hardmax` and `tf.contrib.sparsemax.sparsemax`.
Its signature should be: `probabilities = probability_fn(score)`.
score_mask_value: (optional) The mask value for score before passing into
`probability_fn`. The default is -inf. Only used if
`memory_sequence_length` is not None.
dtype: The data type for the memory layer of the attention mechanism.
custom_key_value_fn: (optional): The custom function for
computing keys and values.
name: Name to use when creating ops.
"""
# For LuongAttention, we only transform the memory layer; thus
# num_units **must** match expected the query depth.
if probability_fn is None:
probability_fn = nn_ops.softmax
if dtype is None:
dtype = dtypes.float32
wrapped_probability_fn = lambda score, _: probability_fn(score)
super(LuongAttention, self).__init__(
query_layer=None,
memory_layer=layers_core.Dense(
num_units, name="memory_layer", use_bias=False, dtype=dtype),
memory=memory,
probability_fn=wrapped_probability_fn,
memory_sequence_length=memory_sequence_length,
score_mask_value=score_mask_value,
custom_key_value_fn=custom_key_value_fn,
name=name)
self._num_units = num_units
self._scale = scale
self._name = name | [
"def",
"__init__",
"(",
"self",
",",
"num_units",
",",
"memory",
",",
"memory_sequence_length",
"=",
"None",
",",
"scale",
"=",
"False",
",",
"probability_fn",
"=",
"None",
",",
"score_mask_value",
"=",
"None",
",",
"dtype",
"=",
"None",
",",
"custom_key_value_fn",
"=",
"None",
",",
"name",
"=",
"\"LuongAttention\"",
")",
":",
"# For LuongAttention, we only transform the memory layer; thus",
"# num_units **must** match expected the query depth.",
"if",
"probability_fn",
"is",
"None",
":",
"probability_fn",
"=",
"nn_ops",
".",
"softmax",
"if",
"dtype",
"is",
"None",
":",
"dtype",
"=",
"dtypes",
".",
"float32",
"wrapped_probability_fn",
"=",
"lambda",
"score",
",",
"_",
":",
"probability_fn",
"(",
"score",
")",
"super",
"(",
"LuongAttention",
",",
"self",
")",
".",
"__init__",
"(",
"query_layer",
"=",
"None",
",",
"memory_layer",
"=",
"layers_core",
".",
"Dense",
"(",
"num_units",
",",
"name",
"=",
"\"memory_layer\"",
",",
"use_bias",
"=",
"False",
",",
"dtype",
"=",
"dtype",
")",
",",
"memory",
"=",
"memory",
",",
"probability_fn",
"=",
"wrapped_probability_fn",
",",
"memory_sequence_length",
"=",
"memory_sequence_length",
",",
"score_mask_value",
"=",
"score_mask_value",
",",
"custom_key_value_fn",
"=",
"custom_key_value_fn",
",",
"name",
"=",
"name",
")",
"self",
".",
"_num_units",
"=",
"num_units",
"self",
".",
"_scale",
"=",
"scale",
"self",
".",
"_name",
"=",
"name"
] | https://github.com/Xilinx/Vitis-AI/blob/fc74d404563d9951b57245443c73bef389f3657f/tools/Vitis-AI-Quantizer/vai_q_tensorflow1.x/tensorflow/contrib/seq2seq/python/ops/attention_wrapper.py#L672-L723 |
||
pytorch/pytorch | 7176c92687d3cc847cc046bf002269c6949a21c2 | caffe2/python/checkpoint.py | python | MultiNodeCheckpointManager.report_checkpoint_stats | (self, action_name) | Report the checkpoint stats for all the nodes, we need to aggregate all
the node's stats together so that we know which node's checkpoint
operation dominates.
Args:
action_name: A string of the name of checkpoint operation. | Report the checkpoint stats for all the nodes, we need to aggregate all
the node's stats together so that we know which node's checkpoint
operation dominates. | [
"Report",
"the",
"checkpoint",
"stats",
"for",
"all",
"the",
"nodes",
"we",
"need",
"to",
"aggregate",
"all",
"the",
"node",
"s",
"stats",
"together",
"so",
"that",
"we",
"know",
"which",
"node",
"s",
"checkpoint",
"operation",
"dominates",
"."
] | def report_checkpoint_stats(self, action_name):
"""
Report the checkpoint stats for all the nodes, we need to aggregate all
the node's stats together so that we know which node's checkpoint
operation dominates.
Args:
action_name: A string of the name of checkpoint operation.
"""
all_stats = {}
for _, manager in self._node_managers:
manager.collect_checkpoint_stats(all_stats)
logger.debug("checkpoint stats: {}".format(all_stats))
if self._metadata_handler:
self._metadata_handler.report(action_name, all_stats) | [
"def",
"report_checkpoint_stats",
"(",
"self",
",",
"action_name",
")",
":",
"all_stats",
"=",
"{",
"}",
"for",
"_",
",",
"manager",
"in",
"self",
".",
"_node_managers",
":",
"manager",
".",
"collect_checkpoint_stats",
"(",
"all_stats",
")",
"logger",
".",
"debug",
"(",
"\"checkpoint stats: {}\"",
".",
"format",
"(",
"all_stats",
")",
")",
"if",
"self",
".",
"_metadata_handler",
":",
"self",
".",
"_metadata_handler",
".",
"report",
"(",
"action_name",
",",
"all_stats",
")"
] | https://github.com/pytorch/pytorch/blob/7176c92687d3cc847cc046bf002269c6949a21c2/caffe2/python/checkpoint.py#L549-L563 |
||
hanpfei/chromium-net | 392cc1fa3a8f92f42e4071ab6e674d8e0482f83f | third_party/catapult/third_party/gsutil/third_party/rsa/rsa/_compat.py | python | byte | (num) | return pack("B", num) | Converts a number between 0 and 255 (both inclusive) to a base-256 (byte)
representation.
Use it as a replacement for ``chr`` where you are expecting a byte
because this will work on all current versions of Python::
:param num:
An unsigned integer between 0 and 255 (both inclusive).
:returns:
A single byte. | Converts a number between 0 and 255 (both inclusive) to a base-256 (byte)
representation. | [
"Converts",
"a",
"number",
"between",
"0",
"and",
"255",
"(",
"both",
"inclusive",
")",
"to",
"a",
"base",
"-",
"256",
"(",
"byte",
")",
"representation",
"."
] | def byte(num):
"""
Converts a number between 0 and 255 (both inclusive) to a base-256 (byte)
representation.
Use it as a replacement for ``chr`` where you are expecting a byte
because this will work on all current versions of Python::
:param num:
An unsigned integer between 0 and 255 (both inclusive).
:returns:
A single byte.
"""
return pack("B", num) | [
"def",
"byte",
"(",
"num",
")",
":",
"return",
"pack",
"(",
"\"B\"",
",",
"num",
")"
] | https://github.com/hanpfei/chromium-net/blob/392cc1fa3a8f92f42e4071ab6e674d8e0482f83f/third_party/catapult/third_party/gsutil/third_party/rsa/rsa/_compat.py#L108-L121 |
|
aws/lumberyard | f85344403c1c2e77ec8c75deb2c116e97b713217 | dev/Tools/Python/3.7.10/linux_x64/lib/python3.7/multiprocessing/connection.py | python | _ConnectionBase.closed | (self) | return self._handle is None | True if the connection is closed | True if the connection is closed | [
"True",
"if",
"the",
"connection",
"is",
"closed"
] | def closed(self):
"""True if the connection is closed"""
return self._handle is None | [
"def",
"closed",
"(",
"self",
")",
":",
"return",
"self",
".",
"_handle",
"is",
"None"
] | https://github.com/aws/lumberyard/blob/f85344403c1c2e77ec8c75deb2c116e97b713217/dev/Tools/Python/3.7.10/linux_x64/lib/python3.7/multiprocessing/connection.py#L154-L156 |
|
wlanjie/AndroidFFmpeg | 7baf9122f4b8e1c74e7baf4be5c422c7a5ba5aaf | tools/fdk-aac-build/armeabi-v7a/toolchain/lib/python2.7/tty.py | python | setcbreak | (fd, when=TCSAFLUSH) | Put terminal into a cbreak mode. | Put terminal into a cbreak mode. | [
"Put",
"terminal",
"into",
"a",
"cbreak",
"mode",
"."
] | def setcbreak(fd, when=TCSAFLUSH):
"""Put terminal into a cbreak mode."""
mode = tcgetattr(fd)
mode[LFLAG] = mode[LFLAG] & ~(ECHO | ICANON)
mode[CC][VMIN] = 1
mode[CC][VTIME] = 0
tcsetattr(fd, when, mode) | [
"def",
"setcbreak",
"(",
"fd",
",",
"when",
"=",
"TCSAFLUSH",
")",
":",
"mode",
"=",
"tcgetattr",
"(",
"fd",
")",
"mode",
"[",
"LFLAG",
"]",
"=",
"mode",
"[",
"LFLAG",
"]",
"&",
"~",
"(",
"ECHO",
"|",
"ICANON",
")",
"mode",
"[",
"CC",
"]",
"[",
"VMIN",
"]",
"=",
"1",
"mode",
"[",
"CC",
"]",
"[",
"VTIME",
"]",
"=",
"0",
"tcsetattr",
"(",
"fd",
",",
"when",
",",
"mode",
")"
] | https://github.com/wlanjie/AndroidFFmpeg/blob/7baf9122f4b8e1c74e7baf4be5c422c7a5ba5aaf/tools/fdk-aac-build/armeabi-v7a/toolchain/lib/python2.7/tty.py#L30-L36 |
||
mantidproject/mantid | 03deeb89254ec4289edb8771e0188c2090a02f32 | qt/python/mantidqt/mantidqt/widgets/superplot/ads_observer.py | python | SuperplotAdsObserver.replacedHandle | (self, ws_name, ws) | Triggered when a workspace is replaces.
Args:
ws_name (str): name of the workspace
ws (workspace): reference to the workspace | Triggered when a workspace is replaces. | [
"Triggered",
"when",
"a",
"workspace",
"is",
"replaces",
"."
] | def replacedHandle(self, ws_name, ws):
"""
Triggered when a workspace is replaces.
Args:
ws_name (str): name of the workspace
ws (workspace): reference to the workspace
"""
self.signals.sig_ws_replaced.emit(ws_name) | [
"def",
"replacedHandle",
"(",
"self",
",",
"ws_name",
",",
"ws",
")",
":",
"self",
".",
"signals",
".",
"sig_ws_replaced",
".",
"emit",
"(",
"ws_name",
")"
] | https://github.com/mantidproject/mantid/blob/03deeb89254ec4289edb8771e0188c2090a02f32/qt/python/mantidqt/mantidqt/widgets/superplot/ads_observer.py#L74-L82 |
||
aws/lumberyard | f85344403c1c2e77ec8c75deb2c116e97b713217 | dev/Gems/CloudGemDefectReporter/v1/AWS/common-code/Lib/PIL/Image.py | python | Image.seek | (self, frame) | Seeks to the given frame in this sequence file. If you seek
beyond the end of the sequence, the method raises an
**EOFError** exception. When a sequence file is opened, the
library automatically seeks to frame 0.
See :py:meth:`~PIL.Image.Image.tell`.
:param frame: Frame number, starting at 0.
:exception EOFError: If the call attempts to seek beyond the end
of the sequence. | Seeks to the given frame in this sequence file. If you seek
beyond the end of the sequence, the method raises an
**EOFError** exception. When a sequence file is opened, the
library automatically seeks to frame 0. | [
"Seeks",
"to",
"the",
"given",
"frame",
"in",
"this",
"sequence",
"file",
".",
"If",
"you",
"seek",
"beyond",
"the",
"end",
"of",
"the",
"sequence",
"the",
"method",
"raises",
"an",
"**",
"EOFError",
"**",
"exception",
".",
"When",
"a",
"sequence",
"file",
"is",
"opened",
"the",
"library",
"automatically",
"seeks",
"to",
"frame",
"0",
"."
] | def seek(self, frame):
"""
Seeks to the given frame in this sequence file. If you seek
beyond the end of the sequence, the method raises an
**EOFError** exception. When a sequence file is opened, the
library automatically seeks to frame 0.
See :py:meth:`~PIL.Image.Image.tell`.
:param frame: Frame number, starting at 0.
:exception EOFError: If the call attempts to seek beyond the end
of the sequence.
"""
# overridden by file handlers
if frame != 0:
raise EOFError | [
"def",
"seek",
"(",
"self",
",",
"frame",
")",
":",
"# overridden by file handlers",
"if",
"frame",
"!=",
"0",
":",
"raise",
"EOFError"
] | https://github.com/aws/lumberyard/blob/f85344403c1c2e77ec8c75deb2c116e97b713217/dev/Gems/CloudGemDefectReporter/v1/AWS/common-code/Lib/PIL/Image.py#L2140-L2156 |
||
ApolloAuto/apollo-platform | 86d9dc6743b496ead18d597748ebabd34a513289 | ros/third_party/lib_aarch64/python2.7/dist-packages/geographic_msgs/msg/_RoutePath.py | python | RoutePath.serialize_numpy | (self, buff, numpy) | serialize message with numpy array types into buffer
:param buff: buffer, ``StringIO``
:param numpy: numpy python module | serialize message with numpy array types into buffer
:param buff: buffer, ``StringIO``
:param numpy: numpy python module | [
"serialize",
"message",
"with",
"numpy",
"array",
"types",
"into",
"buffer",
":",
"param",
"buff",
":",
"buffer",
"StringIO",
":",
"param",
"numpy",
":",
"numpy",
"python",
"module"
] | def serialize_numpy(self, buff, numpy):
"""
serialize message with numpy array types into buffer
:param buff: buffer, ``StringIO``
:param numpy: numpy python module
"""
try:
_x = self
buff.write(_struct_3I.pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs))
_x = self.header.frame_id
length = len(_x)
if python3 or type(_x) == unicode:
_x = _x.encode('utf-8')
length = len(_x)
if python3:
buff.write(struct.pack('<I%sB'%length, length, *_x))
else:
buff.write(struct.pack('<I%ss'%length, length, _x))
_x = self.network.uuid
# - if encoded as a list instead, serialize as bytes instead of string
if type(_x) in [list, tuple]:
buff.write(_struct_16B.pack(*_x))
else:
buff.write(_struct_16s.pack(_x))
length = len(self.segments)
buff.write(_struct_I.pack(length))
for val1 in self.segments:
_x = val1.uuid
# - if encoded as a list instead, serialize as bytes instead of string
if type(_x) in [list, tuple]:
buff.write(_struct_16B.pack(*_x))
else:
buff.write(_struct_16s.pack(_x))
length = len(self.props)
buff.write(_struct_I.pack(length))
for val1 in self.props:
_x = val1.key
length = len(_x)
if python3 or type(_x) == unicode:
_x = _x.encode('utf-8')
length = len(_x)
if python3:
buff.write(struct.pack('<I%sB'%length, length, *_x))
else:
buff.write(struct.pack('<I%ss'%length, length, _x))
_x = val1.value
length = len(_x)
if python3 or type(_x) == unicode:
_x = _x.encode('utf-8')
length = len(_x)
if python3:
buff.write(struct.pack('<I%sB'%length, length, *_x))
else:
buff.write(struct.pack('<I%ss'%length, length, _x))
except struct.error as se: self._check_types(struct.error("%s: '%s' when writing '%s'" % (type(se), str(se), str(_x))))
except TypeError as te: self._check_types(ValueError("%s: '%s' when writing '%s'" % (type(te), str(te), str(_x)))) | [
"def",
"serialize_numpy",
"(",
"self",
",",
"buff",
",",
"numpy",
")",
":",
"try",
":",
"_x",
"=",
"self",
"buff",
".",
"write",
"(",
"_struct_3I",
".",
"pack",
"(",
"_x",
".",
"header",
".",
"seq",
",",
"_x",
".",
"header",
".",
"stamp",
".",
"secs",
",",
"_x",
".",
"header",
".",
"stamp",
".",
"nsecs",
")",
")",
"_x",
"=",
"self",
".",
"header",
".",
"frame_id",
"length",
"=",
"len",
"(",
"_x",
")",
"if",
"python3",
"or",
"type",
"(",
"_x",
")",
"==",
"unicode",
":",
"_x",
"=",
"_x",
".",
"encode",
"(",
"'utf-8'",
")",
"length",
"=",
"len",
"(",
"_x",
")",
"if",
"python3",
":",
"buff",
".",
"write",
"(",
"struct",
".",
"pack",
"(",
"'<I%sB'",
"%",
"length",
",",
"length",
",",
"*",
"_x",
")",
")",
"else",
":",
"buff",
".",
"write",
"(",
"struct",
".",
"pack",
"(",
"'<I%ss'",
"%",
"length",
",",
"length",
",",
"_x",
")",
")",
"_x",
"=",
"self",
".",
"network",
".",
"uuid",
"# - if encoded as a list instead, serialize as bytes instead of string",
"if",
"type",
"(",
"_x",
")",
"in",
"[",
"list",
",",
"tuple",
"]",
":",
"buff",
".",
"write",
"(",
"_struct_16B",
".",
"pack",
"(",
"*",
"_x",
")",
")",
"else",
":",
"buff",
".",
"write",
"(",
"_struct_16s",
".",
"pack",
"(",
"_x",
")",
")",
"length",
"=",
"len",
"(",
"self",
".",
"segments",
")",
"buff",
".",
"write",
"(",
"_struct_I",
".",
"pack",
"(",
"length",
")",
")",
"for",
"val1",
"in",
"self",
".",
"segments",
":",
"_x",
"=",
"val1",
".",
"uuid",
"# - if encoded as a list instead, serialize as bytes instead of string",
"if",
"type",
"(",
"_x",
")",
"in",
"[",
"list",
",",
"tuple",
"]",
":",
"buff",
".",
"write",
"(",
"_struct_16B",
".",
"pack",
"(",
"*",
"_x",
")",
")",
"else",
":",
"buff",
".",
"write",
"(",
"_struct_16s",
".",
"pack",
"(",
"_x",
")",
")",
"length",
"=",
"len",
"(",
"self",
".",
"props",
")",
"buff",
".",
"write",
"(",
"_struct_I",
".",
"pack",
"(",
"length",
")",
")",
"for",
"val1",
"in",
"self",
".",
"props",
":",
"_x",
"=",
"val1",
".",
"key",
"length",
"=",
"len",
"(",
"_x",
")",
"if",
"python3",
"or",
"type",
"(",
"_x",
")",
"==",
"unicode",
":",
"_x",
"=",
"_x",
".",
"encode",
"(",
"'utf-8'",
")",
"length",
"=",
"len",
"(",
"_x",
")",
"if",
"python3",
":",
"buff",
".",
"write",
"(",
"struct",
".",
"pack",
"(",
"'<I%sB'",
"%",
"length",
",",
"length",
",",
"*",
"_x",
")",
")",
"else",
":",
"buff",
".",
"write",
"(",
"struct",
".",
"pack",
"(",
"'<I%ss'",
"%",
"length",
",",
"length",
",",
"_x",
")",
")",
"_x",
"=",
"val1",
".",
"value",
"length",
"=",
"len",
"(",
"_x",
")",
"if",
"python3",
"or",
"type",
"(",
"_x",
")",
"==",
"unicode",
":",
"_x",
"=",
"_x",
".",
"encode",
"(",
"'utf-8'",
")",
"length",
"=",
"len",
"(",
"_x",
")",
"if",
"python3",
":",
"buff",
".",
"write",
"(",
"struct",
".",
"pack",
"(",
"'<I%sB'",
"%",
"length",
",",
"length",
",",
"*",
"_x",
")",
")",
"else",
":",
"buff",
".",
"write",
"(",
"struct",
".",
"pack",
"(",
"'<I%ss'",
"%",
"length",
",",
"length",
",",
"_x",
")",
")",
"except",
"struct",
".",
"error",
"as",
"se",
":",
"self",
".",
"_check_types",
"(",
"struct",
".",
"error",
"(",
"\"%s: '%s' when writing '%s'\"",
"%",
"(",
"type",
"(",
"se",
")",
",",
"str",
"(",
"se",
")",
",",
"str",
"(",
"_x",
")",
")",
")",
")",
"except",
"TypeError",
"as",
"te",
":",
"self",
".",
"_check_types",
"(",
"ValueError",
"(",
"\"%s: '%s' when writing '%s'\"",
"%",
"(",
"type",
"(",
"te",
")",
",",
"str",
"(",
"te",
")",
",",
"str",
"(",
"_x",
")",
")",
")",
")"
] | https://github.com/ApolloAuto/apollo-platform/blob/86d9dc6743b496ead18d597748ebabd34a513289/ros/third_party/lib_aarch64/python2.7/dist-packages/geographic_msgs/msg/_RoutePath.py#L233-L288 |
||
catboost/catboost | 167f64f237114a4d10b2b4ee42adb4569137debe | contrib/python/pandas/py3/pandas/core/arrays/categorical.py | python | Categorical.map | (self, mapper) | Map categories using input correspondence (dict, Series, or function).
Maps the categories to new categories. If the mapping correspondence is
one-to-one the result is a :class:`~pandas.Categorical` which has the
same order property as the original, otherwise a :class:`~pandas.Index`
is returned. NaN values are unaffected.
If a `dict` or :class:`~pandas.Series` is used any unmapped category is
mapped to `NaN`. Note that if this happens an :class:`~pandas.Index`
will be returned.
Parameters
----------
mapper : function, dict, or Series
Mapping correspondence.
Returns
-------
pandas.Categorical or pandas.Index
Mapped categorical.
See Also
--------
CategoricalIndex.map : Apply a mapping correspondence on a
:class:`~pandas.CategoricalIndex`.
Index.map : Apply a mapping correspondence on an
:class:`~pandas.Index`.
Series.map : Apply a mapping correspondence on a
:class:`~pandas.Series`.
Series.apply : Apply more complex functions on a
:class:`~pandas.Series`.
Examples
--------
>>> cat = pd.Categorical(['a', 'b', 'c'])
>>> cat
['a', 'b', 'c']
Categories (3, object): ['a', 'b', 'c']
>>> cat.map(lambda x: x.upper())
['A', 'B', 'C']
Categories (3, object): ['A', 'B', 'C']
>>> cat.map({'a': 'first', 'b': 'second', 'c': 'third'})
['first', 'second', 'third']
Categories (3, object): ['first', 'second', 'third']
If the mapping is one-to-one the ordering of the categories is
preserved:
>>> cat = pd.Categorical(['a', 'b', 'c'], ordered=True)
>>> cat
['a', 'b', 'c']
Categories (3, object): ['a' < 'b' < 'c']
>>> cat.map({'a': 3, 'b': 2, 'c': 1})
[3, 2, 1]
Categories (3, int64): [3 < 2 < 1]
If the mapping is not one-to-one an :class:`~pandas.Index` is returned:
>>> cat.map({'a': 'first', 'b': 'second', 'c': 'first'})
Index(['first', 'second', 'first'], dtype='object')
If a `dict` is used, all unmapped categories are mapped to `NaN` and
the result is an :class:`~pandas.Index`:
>>> cat.map({'a': 'first', 'b': 'second'})
Index(['first', 'second', nan], dtype='object') | Map categories using input correspondence (dict, Series, or function). | [
"Map",
"categories",
"using",
"input",
"correspondence",
"(",
"dict",
"Series",
"or",
"function",
")",
"."
] | def map(self, mapper):
"""
Map categories using input correspondence (dict, Series, or function).
Maps the categories to new categories. If the mapping correspondence is
one-to-one the result is a :class:`~pandas.Categorical` which has the
same order property as the original, otherwise a :class:`~pandas.Index`
is returned. NaN values are unaffected.
If a `dict` or :class:`~pandas.Series` is used any unmapped category is
mapped to `NaN`. Note that if this happens an :class:`~pandas.Index`
will be returned.
Parameters
----------
mapper : function, dict, or Series
Mapping correspondence.
Returns
-------
pandas.Categorical or pandas.Index
Mapped categorical.
See Also
--------
CategoricalIndex.map : Apply a mapping correspondence on a
:class:`~pandas.CategoricalIndex`.
Index.map : Apply a mapping correspondence on an
:class:`~pandas.Index`.
Series.map : Apply a mapping correspondence on a
:class:`~pandas.Series`.
Series.apply : Apply more complex functions on a
:class:`~pandas.Series`.
Examples
--------
>>> cat = pd.Categorical(['a', 'b', 'c'])
>>> cat
['a', 'b', 'c']
Categories (3, object): ['a', 'b', 'c']
>>> cat.map(lambda x: x.upper())
['A', 'B', 'C']
Categories (3, object): ['A', 'B', 'C']
>>> cat.map({'a': 'first', 'b': 'second', 'c': 'third'})
['first', 'second', 'third']
Categories (3, object): ['first', 'second', 'third']
If the mapping is one-to-one the ordering of the categories is
preserved:
>>> cat = pd.Categorical(['a', 'b', 'c'], ordered=True)
>>> cat
['a', 'b', 'c']
Categories (3, object): ['a' < 'b' < 'c']
>>> cat.map({'a': 3, 'b': 2, 'c': 1})
[3, 2, 1]
Categories (3, int64): [3 < 2 < 1]
If the mapping is not one-to-one an :class:`~pandas.Index` is returned:
>>> cat.map({'a': 'first', 'b': 'second', 'c': 'first'})
Index(['first', 'second', 'first'], dtype='object')
If a `dict` is used, all unmapped categories are mapped to `NaN` and
the result is an :class:`~pandas.Index`:
>>> cat.map({'a': 'first', 'b': 'second'})
Index(['first', 'second', nan], dtype='object')
"""
new_categories = self.categories.map(mapper)
try:
return self.from_codes(
self._codes.copy(), categories=new_categories, ordered=self.ordered
)
except ValueError:
# NA values are represented in self._codes with -1
# np.take causes NA values to take final element in new_categories
if np.any(self._codes == -1):
new_categories = new_categories.insert(len(new_categories), np.nan)
return np.take(new_categories, self._codes) | [
"def",
"map",
"(",
"self",
",",
"mapper",
")",
":",
"new_categories",
"=",
"self",
".",
"categories",
".",
"map",
"(",
"mapper",
")",
"try",
":",
"return",
"self",
".",
"from_codes",
"(",
"self",
".",
"_codes",
".",
"copy",
"(",
")",
",",
"categories",
"=",
"new_categories",
",",
"ordered",
"=",
"self",
".",
"ordered",
")",
"except",
"ValueError",
":",
"# NA values are represented in self._codes with -1",
"# np.take causes NA values to take final element in new_categories",
"if",
"np",
".",
"any",
"(",
"self",
".",
"_codes",
"==",
"-",
"1",
")",
":",
"new_categories",
"=",
"new_categories",
".",
"insert",
"(",
"len",
"(",
"new_categories",
")",
",",
"np",
".",
"nan",
")",
"return",
"np",
".",
"take",
"(",
"new_categories",
",",
"self",
".",
"_codes",
")"
] | https://github.com/catboost/catboost/blob/167f64f237114a4d10b2b4ee42adb4569137debe/contrib/python/pandas/py3/pandas/core/arrays/categorical.py#L1306-L1385 |
||
benoitsteiner/tensorflow-opencl | cb7cb40a57fde5cfd4731bc551e82a1e2fef43a5 | tensorflow/python/debug/cli/curses_ui.py | python | CursesUI._screen_terminate | (self) | Terminate the curses screen. | Terminate the curses screen. | [
"Terminate",
"the",
"curses",
"screen",
"."
] | def _screen_terminate(self):
"""Terminate the curses screen."""
self._stdscr.keypad(0)
curses.nocbreak()
curses.echo()
curses.endwin()
try:
# Remove SIGINT handler.
signal.signal(signal.SIGINT, signal.SIG_DFL)
except ValueError:
# Can't catch signals unless you're the main thread.
pass | [
"def",
"_screen_terminate",
"(",
"self",
")",
":",
"self",
".",
"_stdscr",
".",
"keypad",
"(",
"0",
")",
"curses",
".",
"nocbreak",
"(",
")",
"curses",
".",
"echo",
"(",
")",
"curses",
".",
"endwin",
"(",
")",
"try",
":",
"# Remove SIGINT handler.",
"signal",
".",
"signal",
"(",
"signal",
".",
"SIGINT",
",",
"signal",
".",
"SIG_DFL",
")",
"except",
"ValueError",
":",
"# Can't catch signals unless you're the main thread.",
"pass"
] | https://github.com/benoitsteiner/tensorflow-opencl/blob/cb7cb40a57fde5cfd4731bc551e82a1e2fef43a5/tensorflow/python/debug/cli/curses_ui.py#L470-L483 |
||
hpi-xnor/BMXNet-v2 | af2b1859eafc5c721b1397cef02f946aaf2ce20d | python/mxnet/kvstore.py | python | KVStore._send_command_to_servers | (self, head, body) | Sends a command to all server nodes.
Sending command to a server node will cause that server node to invoke
``KVStoreServer.controller`` to execute the command.
This function returns after the command has been executed on all server
nodes.
Parameters
----------
head : int
the head of the command.
body : str
the body of the command. | Sends a command to all server nodes. | [
"Sends",
"a",
"command",
"to",
"all",
"server",
"nodes",
"."
] | def _send_command_to_servers(self, head, body):
"""Sends a command to all server nodes.
Sending command to a server node will cause that server node to invoke
``KVStoreServer.controller`` to execute the command.
This function returns after the command has been executed on all server
nodes.
Parameters
----------
head : int
the head of the command.
body : str
the body of the command.
"""
check_call(_LIB.MXKVStoreSendCommmandToServers(
self.handle, mx_uint(head), c_str(body))) | [
"def",
"_send_command_to_servers",
"(",
"self",
",",
"head",
",",
"body",
")",
":",
"check_call",
"(",
"_LIB",
".",
"MXKVStoreSendCommmandToServers",
"(",
"self",
".",
"handle",
",",
"mx_uint",
"(",
"head",
")",
",",
"c_str",
"(",
"body",
")",
")",
")"
] | https://github.com/hpi-xnor/BMXNet-v2/blob/af2b1859eafc5c721b1397cef02f946aaf2ce20d/python/mxnet/kvstore.py#L616-L633 |
||
apple/turicreate | cce55aa5311300e3ce6af93cb45ba791fd1bdf49 | src/python/turicreate/toolkits/style_transfer/_tf_model_architecture.py | python | define_resnet | (tf_input, tf_index, weights, prefix="transformer_") | return decode_3_relu_1 | This function defines the resnet network using the tensorflow nn api.
Parameters
----------
tf_input: tensorflow.Tensor
The input tensor to the network. The image is expected to be in RGB
format.
tf_index: tensorflow.Tensor
The index tensor to the network.
weights: dictionary
The dictionary of weights to the network. The naming convention
used is that from the CoreML export of the Style Transfer Network.
prefix: string
The prefix column is used to prefix the variables of the network for
weight export.
Returns
-------
out: tensorflow.Tensor
The sigmoid output tensor to the network. | This function defines the resnet network using the tensorflow nn api. | [
"This",
"function",
"defines",
"the",
"resnet",
"network",
"using",
"the",
"tensorflow",
"nn",
"api",
"."
] | def define_resnet(tf_input, tf_index, weights, prefix="transformer_"):
"""
This function defines the resnet network using the tensorflow nn api.
Parameters
----------
tf_input: tensorflow.Tensor
The input tensor to the network. The image is expected to be in RGB
format.
tf_index: tensorflow.Tensor
The index tensor to the network.
weights: dictionary
The dictionary of weights to the network. The naming convention
used is that from the CoreML export of the Style Transfer Network.
prefix: string
The prefix column is used to prefix the variables of the network for
weight export.
Returns
-------
out: tensorflow.Tensor
The sigmoid output tensor to the network.
"""
_tf = _lazy_import_tensorflow()
# encoding 1
conv_1_paddings = _tf.constant([[0, 0], [4, 4], [4, 4], [0, 0]])
conv_1_pad = _tf.pad(tf_input, conv_1_paddings, "REFLECT")
conv_1_filter = weights[prefix + "encode_1_conv_weight"]
conv_1 = _tf.nn.conv2d(
conv_1_pad, conv_1_filter, strides=[1, 1, 1, 1], padding="VALID"
)
inst_1 = define_instance_norm(conv_1, tf_index, weights, prefix + "encode_1_inst_")
relu_1 = _tf.nn.relu(inst_1)
# encoding 2
conv_2_paddings = _tf.constant([[0, 0], [1, 1], [1, 1], [0, 0]])
conv_2_pad = _tf.pad(relu_1, conv_2_paddings, "REFLECT")
conv_2_filter = weights[prefix + "encode_2_conv_weight"]
conv_2 = _tf.nn.conv2d(
conv_2_pad, conv_2_filter, strides=[1, 2, 2, 1], padding="VALID"
)
inst_2 = define_instance_norm(conv_2, tf_index, weights, prefix + "encode_2_inst_")
relu_2 = _tf.nn.relu(inst_2)
# encoding 3
conv_3_paddings = _tf.constant([[0, 0], [1, 1], [1, 1], [0, 0]])
conv_3_pad = _tf.pad(relu_2, conv_3_paddings, "REFLECT")
conv_3_filter = weights[prefix + "encode_3_conv_weight"]
conv_3 = _tf.nn.conv2d(
conv_3_pad, conv_3_filter, strides=[1, 2, 2, 1], padding="VALID"
)
inst_3 = define_instance_norm(conv_3, tf_index, weights, prefix + "encode_3_inst_")
relu_3 = _tf.nn.relu(inst_3)
# Residual Blocks
residual_1 = define_residual(relu_3, tf_index, weights, prefix + "residual_1_")
residual_2 = define_residual(residual_1, tf_index, weights, prefix + "residual_2_")
residual_3 = define_residual(residual_2, tf_index, weights, prefix + "residual_3_")
residual_4 = define_residual(residual_3, tf_index, weights, prefix + "residual_4_")
residual_5 = define_residual(residual_4, tf_index, weights, prefix + "residual_5_")
# decode 1
decode_1_image_shape = _tf.shape(residual_5)
decode_1_new_height = decode_1_image_shape[1] * 2
decode_1_new_width = decode_1_image_shape[2] * 2
decoding_1_upsample_1 = _tf.image.resize_images(
residual_5,
[decode_1_new_height, decode_1_new_width],
method=_tf.image.ResizeMethod.NEAREST_NEIGHBOR,
)
decode_1_conv_1_paddings = _tf.constant([[0, 0], [1, 1], [1, 1], [0, 0]])
decode_1_conv_1_pad = _tf.pad(
decoding_1_upsample_1, decode_1_conv_1_paddings, "REFLECT"
)
decode_1_conv_1_filter = weights[prefix + "decoding_1_conv_weight"]
decode_1_conv_1 = _tf.nn.conv2d(
decode_1_conv_1_pad,
decode_1_conv_1_filter,
strides=[1, 1, 1, 1],
padding="VALID",
)
decode_1_inst_1 = define_instance_norm(
decode_1_conv_1, tf_index, weights, prefix + "decoding_1_inst_"
)
decode_1_relu_1 = _tf.nn.relu(decode_1_inst_1)
# decode 2
decode_2_image_shape = _tf.shape(decode_1_relu_1)
decode_2_new_height = decode_2_image_shape[1] * 2
decode_2_new_width = decode_2_image_shape[2] * 2
decoding_2_upsample_1 = _tf.image.resize_images(
decode_1_relu_1,
[decode_2_new_height, decode_2_new_width],
method=_tf.image.ResizeMethod.NEAREST_NEIGHBOR,
)
decode_2_conv_1_paddings = _tf.constant([[0, 0], [1, 1], [1, 1], [0, 0]])
decode_2_conv_1_pad = _tf.pad(
decoding_2_upsample_1, decode_2_conv_1_paddings, "REFLECT"
)
decode_2_conv_1_filter = weights[prefix + "decoding_2_conv_weight"]
decode_2_conv_1 = _tf.nn.conv2d(
decode_2_conv_1_pad,
decode_2_conv_1_filter,
strides=[1, 1, 1, 1],
padding="VALID",
)
decode_2_inst_1 = define_instance_norm(
decode_2_conv_1, tf_index, weights, prefix + "decoding_2_inst_"
)
decode_2_relu_1 = _tf.nn.relu(decode_2_inst_1)
# decode 3
decode_3_conv_1_paddings = _tf.constant([[0, 0], [4, 4], [4, 4], [0, 0]])
decode_3_conv_1_pad = _tf.pad(decode_2_relu_1, decode_3_conv_1_paddings, "REFLECT")
decode_3_conv_1_filter = weights[prefix + "conv5_weight"]
decode_3_conv_1 = _tf.nn.conv2d(
decode_3_conv_1_pad,
decode_3_conv_1_filter,
strides=[1, 1, 1, 1],
padding="VALID",
)
decode_3_inst_1 = define_instance_norm(
decode_3_conv_1, tf_index, weights, prefix + "instancenorm5_"
)
decode_3_relu_1 = _tf.nn.sigmoid(decode_3_inst_1)
return decode_3_relu_1 | [
"def",
"define_resnet",
"(",
"tf_input",
",",
"tf_index",
",",
"weights",
",",
"prefix",
"=",
"\"transformer_\"",
")",
":",
"_tf",
"=",
"_lazy_import_tensorflow",
"(",
")",
"# encoding 1",
"conv_1_paddings",
"=",
"_tf",
".",
"constant",
"(",
"[",
"[",
"0",
",",
"0",
"]",
",",
"[",
"4",
",",
"4",
"]",
",",
"[",
"4",
",",
"4",
"]",
",",
"[",
"0",
",",
"0",
"]",
"]",
")",
"conv_1_pad",
"=",
"_tf",
".",
"pad",
"(",
"tf_input",
",",
"conv_1_paddings",
",",
"\"REFLECT\"",
")",
"conv_1_filter",
"=",
"weights",
"[",
"prefix",
"+",
"\"encode_1_conv_weight\"",
"]",
"conv_1",
"=",
"_tf",
".",
"nn",
".",
"conv2d",
"(",
"conv_1_pad",
",",
"conv_1_filter",
",",
"strides",
"=",
"[",
"1",
",",
"1",
",",
"1",
",",
"1",
"]",
",",
"padding",
"=",
"\"VALID\"",
")",
"inst_1",
"=",
"define_instance_norm",
"(",
"conv_1",
",",
"tf_index",
",",
"weights",
",",
"prefix",
"+",
"\"encode_1_inst_\"",
")",
"relu_1",
"=",
"_tf",
".",
"nn",
".",
"relu",
"(",
"inst_1",
")",
"# encoding 2",
"conv_2_paddings",
"=",
"_tf",
".",
"constant",
"(",
"[",
"[",
"0",
",",
"0",
"]",
",",
"[",
"1",
",",
"1",
"]",
",",
"[",
"1",
",",
"1",
"]",
",",
"[",
"0",
",",
"0",
"]",
"]",
")",
"conv_2_pad",
"=",
"_tf",
".",
"pad",
"(",
"relu_1",
",",
"conv_2_paddings",
",",
"\"REFLECT\"",
")",
"conv_2_filter",
"=",
"weights",
"[",
"prefix",
"+",
"\"encode_2_conv_weight\"",
"]",
"conv_2",
"=",
"_tf",
".",
"nn",
".",
"conv2d",
"(",
"conv_2_pad",
",",
"conv_2_filter",
",",
"strides",
"=",
"[",
"1",
",",
"2",
",",
"2",
",",
"1",
"]",
",",
"padding",
"=",
"\"VALID\"",
")",
"inst_2",
"=",
"define_instance_norm",
"(",
"conv_2",
",",
"tf_index",
",",
"weights",
",",
"prefix",
"+",
"\"encode_2_inst_\"",
")",
"relu_2",
"=",
"_tf",
".",
"nn",
".",
"relu",
"(",
"inst_2",
")",
"# encoding 3",
"conv_3_paddings",
"=",
"_tf",
".",
"constant",
"(",
"[",
"[",
"0",
",",
"0",
"]",
",",
"[",
"1",
",",
"1",
"]",
",",
"[",
"1",
",",
"1",
"]",
",",
"[",
"0",
",",
"0",
"]",
"]",
")",
"conv_3_pad",
"=",
"_tf",
".",
"pad",
"(",
"relu_2",
",",
"conv_3_paddings",
",",
"\"REFLECT\"",
")",
"conv_3_filter",
"=",
"weights",
"[",
"prefix",
"+",
"\"encode_3_conv_weight\"",
"]",
"conv_3",
"=",
"_tf",
".",
"nn",
".",
"conv2d",
"(",
"conv_3_pad",
",",
"conv_3_filter",
",",
"strides",
"=",
"[",
"1",
",",
"2",
",",
"2",
",",
"1",
"]",
",",
"padding",
"=",
"\"VALID\"",
")",
"inst_3",
"=",
"define_instance_norm",
"(",
"conv_3",
",",
"tf_index",
",",
"weights",
",",
"prefix",
"+",
"\"encode_3_inst_\"",
")",
"relu_3",
"=",
"_tf",
".",
"nn",
".",
"relu",
"(",
"inst_3",
")",
"# Residual Blocks",
"residual_1",
"=",
"define_residual",
"(",
"relu_3",
",",
"tf_index",
",",
"weights",
",",
"prefix",
"+",
"\"residual_1_\"",
")",
"residual_2",
"=",
"define_residual",
"(",
"residual_1",
",",
"tf_index",
",",
"weights",
",",
"prefix",
"+",
"\"residual_2_\"",
")",
"residual_3",
"=",
"define_residual",
"(",
"residual_2",
",",
"tf_index",
",",
"weights",
",",
"prefix",
"+",
"\"residual_3_\"",
")",
"residual_4",
"=",
"define_residual",
"(",
"residual_3",
",",
"tf_index",
",",
"weights",
",",
"prefix",
"+",
"\"residual_4_\"",
")",
"residual_5",
"=",
"define_residual",
"(",
"residual_4",
",",
"tf_index",
",",
"weights",
",",
"prefix",
"+",
"\"residual_5_\"",
")",
"# decode 1",
"decode_1_image_shape",
"=",
"_tf",
".",
"shape",
"(",
"residual_5",
")",
"decode_1_new_height",
"=",
"decode_1_image_shape",
"[",
"1",
"]",
"*",
"2",
"decode_1_new_width",
"=",
"decode_1_image_shape",
"[",
"2",
"]",
"*",
"2",
"decoding_1_upsample_1",
"=",
"_tf",
".",
"image",
".",
"resize_images",
"(",
"residual_5",
",",
"[",
"decode_1_new_height",
",",
"decode_1_new_width",
"]",
",",
"method",
"=",
"_tf",
".",
"image",
".",
"ResizeMethod",
".",
"NEAREST_NEIGHBOR",
",",
")",
"decode_1_conv_1_paddings",
"=",
"_tf",
".",
"constant",
"(",
"[",
"[",
"0",
",",
"0",
"]",
",",
"[",
"1",
",",
"1",
"]",
",",
"[",
"1",
",",
"1",
"]",
",",
"[",
"0",
",",
"0",
"]",
"]",
")",
"decode_1_conv_1_pad",
"=",
"_tf",
".",
"pad",
"(",
"decoding_1_upsample_1",
",",
"decode_1_conv_1_paddings",
",",
"\"REFLECT\"",
")",
"decode_1_conv_1_filter",
"=",
"weights",
"[",
"prefix",
"+",
"\"decoding_1_conv_weight\"",
"]",
"decode_1_conv_1",
"=",
"_tf",
".",
"nn",
".",
"conv2d",
"(",
"decode_1_conv_1_pad",
",",
"decode_1_conv_1_filter",
",",
"strides",
"=",
"[",
"1",
",",
"1",
",",
"1",
",",
"1",
"]",
",",
"padding",
"=",
"\"VALID\"",
",",
")",
"decode_1_inst_1",
"=",
"define_instance_norm",
"(",
"decode_1_conv_1",
",",
"tf_index",
",",
"weights",
",",
"prefix",
"+",
"\"decoding_1_inst_\"",
")",
"decode_1_relu_1",
"=",
"_tf",
".",
"nn",
".",
"relu",
"(",
"decode_1_inst_1",
")",
"# decode 2",
"decode_2_image_shape",
"=",
"_tf",
".",
"shape",
"(",
"decode_1_relu_1",
")",
"decode_2_new_height",
"=",
"decode_2_image_shape",
"[",
"1",
"]",
"*",
"2",
"decode_2_new_width",
"=",
"decode_2_image_shape",
"[",
"2",
"]",
"*",
"2",
"decoding_2_upsample_1",
"=",
"_tf",
".",
"image",
".",
"resize_images",
"(",
"decode_1_relu_1",
",",
"[",
"decode_2_new_height",
",",
"decode_2_new_width",
"]",
",",
"method",
"=",
"_tf",
".",
"image",
".",
"ResizeMethod",
".",
"NEAREST_NEIGHBOR",
",",
")",
"decode_2_conv_1_paddings",
"=",
"_tf",
".",
"constant",
"(",
"[",
"[",
"0",
",",
"0",
"]",
",",
"[",
"1",
",",
"1",
"]",
",",
"[",
"1",
",",
"1",
"]",
",",
"[",
"0",
",",
"0",
"]",
"]",
")",
"decode_2_conv_1_pad",
"=",
"_tf",
".",
"pad",
"(",
"decoding_2_upsample_1",
",",
"decode_2_conv_1_paddings",
",",
"\"REFLECT\"",
")",
"decode_2_conv_1_filter",
"=",
"weights",
"[",
"prefix",
"+",
"\"decoding_2_conv_weight\"",
"]",
"decode_2_conv_1",
"=",
"_tf",
".",
"nn",
".",
"conv2d",
"(",
"decode_2_conv_1_pad",
",",
"decode_2_conv_1_filter",
",",
"strides",
"=",
"[",
"1",
",",
"1",
",",
"1",
",",
"1",
"]",
",",
"padding",
"=",
"\"VALID\"",
",",
")",
"decode_2_inst_1",
"=",
"define_instance_norm",
"(",
"decode_2_conv_1",
",",
"tf_index",
",",
"weights",
",",
"prefix",
"+",
"\"decoding_2_inst_\"",
")",
"decode_2_relu_1",
"=",
"_tf",
".",
"nn",
".",
"relu",
"(",
"decode_2_inst_1",
")",
"# decode 3",
"decode_3_conv_1_paddings",
"=",
"_tf",
".",
"constant",
"(",
"[",
"[",
"0",
",",
"0",
"]",
",",
"[",
"4",
",",
"4",
"]",
",",
"[",
"4",
",",
"4",
"]",
",",
"[",
"0",
",",
"0",
"]",
"]",
")",
"decode_3_conv_1_pad",
"=",
"_tf",
".",
"pad",
"(",
"decode_2_relu_1",
",",
"decode_3_conv_1_paddings",
",",
"\"REFLECT\"",
")",
"decode_3_conv_1_filter",
"=",
"weights",
"[",
"prefix",
"+",
"\"conv5_weight\"",
"]",
"decode_3_conv_1",
"=",
"_tf",
".",
"nn",
".",
"conv2d",
"(",
"decode_3_conv_1_pad",
",",
"decode_3_conv_1_filter",
",",
"strides",
"=",
"[",
"1",
",",
"1",
",",
"1",
",",
"1",
"]",
",",
"padding",
"=",
"\"VALID\"",
",",
")",
"decode_3_inst_1",
"=",
"define_instance_norm",
"(",
"decode_3_conv_1",
",",
"tf_index",
",",
"weights",
",",
"prefix",
"+",
"\"instancenorm5_\"",
")",
"decode_3_relu_1",
"=",
"_tf",
".",
"nn",
".",
"sigmoid",
"(",
"decode_3_inst_1",
")",
"return",
"decode_3_relu_1"
] | https://github.com/apple/turicreate/blob/cce55aa5311300e3ce6af93cb45ba791fd1bdf49/src/python/turicreate/toolkits/style_transfer/_tf_model_architecture.py#L161-L307 |
|
google/sandboxed-api | 7004d59150c9fbfaa3e5fd1872affffd1ab14fe8 | oss-internship-2020/libuv/generator/wrapper_generator.py | python | get_signatures | (text: str) | return zip(method_types, names, arguments_lists) | Gets the signatures of all the methods in the header.
Note: This method only works on a certain version of LibUV's header.
Args:
text: The contents of the header file
Returns:
The extracted method signatures. | Gets the signatures of all the methods in the header. | [
"Gets",
"the",
"signatures",
"of",
"all",
"the",
"methods",
"in",
"the",
"header",
"."
] | def get_signatures(text: str) -> str:
"""Gets the signatures of all the methods in the header.
Note: This method only works on a certain version of LibUV's header.
Args:
text: The contents of the header file
Returns:
The extracted method signatures.
"""
signatures = [x.split(";")[0].strip() for x in text.split("UV_EXTERN")[1:]]
method_types = [
" ".join(s.split("(")[0].split(" ")[:-1]).strip() for s in signatures
]
names = [s.split("(")[0].split(" ")[-1].strip() for s in signatures]
arguments = [s.split("(")[1][:-1] for s in signatures]
arguments_lists = [[x.strip() for x in a.split(",")] for a in arguments]
return zip(method_types, names, arguments_lists) | [
"def",
"get_signatures",
"(",
"text",
":",
"str",
")",
"->",
"str",
":",
"signatures",
"=",
"[",
"x",
".",
"split",
"(",
"\";\"",
")",
"[",
"0",
"]",
".",
"strip",
"(",
")",
"for",
"x",
"in",
"text",
".",
"split",
"(",
"\"UV_EXTERN\"",
")",
"[",
"1",
":",
"]",
"]",
"method_types",
"=",
"[",
"\" \"",
".",
"join",
"(",
"s",
".",
"split",
"(",
"\"(\"",
")",
"[",
"0",
"]",
".",
"split",
"(",
"\" \"",
")",
"[",
":",
"-",
"1",
"]",
")",
".",
"strip",
"(",
")",
"for",
"s",
"in",
"signatures",
"]",
"names",
"=",
"[",
"s",
".",
"split",
"(",
"\"(\"",
")",
"[",
"0",
"]",
".",
"split",
"(",
"\" \"",
")",
"[",
"-",
"1",
"]",
".",
"strip",
"(",
")",
"for",
"s",
"in",
"signatures",
"]",
"arguments",
"=",
"[",
"s",
".",
"split",
"(",
"\"(\"",
")",
"[",
"1",
"]",
"[",
":",
"-",
"1",
"]",
"for",
"s",
"in",
"signatures",
"]",
"arguments_lists",
"=",
"[",
"[",
"x",
".",
"strip",
"(",
")",
"for",
"x",
"in",
"a",
".",
"split",
"(",
"\",\"",
")",
"]",
"for",
"a",
"in",
"arguments",
"]",
"return",
"zip",
"(",
"method_types",
",",
"names",
",",
"arguments_lists",
")"
] | https://github.com/google/sandboxed-api/blob/7004d59150c9fbfaa3e5fd1872affffd1ab14fe8/oss-internship-2020/libuv/generator/wrapper_generator.py#L184-L203 |
|
baidu-research/tensorflow-allreduce | 66d5b855e90b0949e9fa5cca5599fd729a70e874 | tensorflow/contrib/labeled_tensor/python/ops/ops.py | python | pad | (labeled_tensor, paddings, mode='CONSTANT', name=None) | Pads a tensor.
See tf.pad.
Args:
labeled_tensor: The input tensor.
paddings: A mapping where the keys are axis names and the values are
tuples where the first element is the padding to insert at the beginning
of the axis and the second is the padding to insert at the end of the
axis.
mode: One of "CONSTANT", "REFLECT", or "SYMMETRIC".
name: Optional op name.
Returns:
A tensor with the indicated axes padded, optionally with those axes extended
with the provided labels.
Raises:
ValueError: If the padded axes are not axes in the input tensor. | Pads a tensor. | [
"Pads",
"a",
"tensor",
"."
] | def pad(labeled_tensor, paddings, mode='CONSTANT', name=None):
"""Pads a tensor.
See tf.pad.
Args:
labeled_tensor: The input tensor.
paddings: A mapping where the keys are axis names and the values are
tuples where the first element is the padding to insert at the beginning
of the axis and the second is the padding to insert at the end of the
axis.
mode: One of "CONSTANT", "REFLECT", or "SYMMETRIC".
name: Optional op name.
Returns:
A tensor with the indicated axes padded, optionally with those axes extended
with the provided labels.
Raises:
ValueError: If the padded axes are not axes in the input tensor.
"""
with ops.name_scope(name, 'lt_pad', [labeled_tensor]) as scope:
labeled_tensor = core.convert_to_labeled_tensor(labeled_tensor)
if not set(paddings.keys()) <= set(labeled_tensor.axes.keys()):
raise ValueError('pad axes %r are not contained in the set of axis '
'names %r on the input labeled tensor' %
(paddings.keys(), labeled_tensor.axes))
new_axes = []
padding_pairs = []
for name, axis in labeled_tensor.axes.items():
if name in paddings:
padding_before, padding_after = paddings[name]
axis_before = core.Axis(name, padding_before)
axis_after = core.Axis(name, padding_after)
new_axes.append(core.concat_axes([axis_before, axis, axis_after]))
padding_pairs.append((len(axis_before), len(axis_after)))
else:
new_axes.append(axis)
padding_pairs.append((0, 0))
pad_op = array_ops.pad(labeled_tensor.tensor,
padding_pairs,
mode,
name=scope)
return core.LabeledTensor(pad_op, new_axes) | [
"def",
"pad",
"(",
"labeled_tensor",
",",
"paddings",
",",
"mode",
"=",
"'CONSTANT'",
",",
"name",
"=",
"None",
")",
":",
"with",
"ops",
".",
"name_scope",
"(",
"name",
",",
"'lt_pad'",
",",
"[",
"labeled_tensor",
"]",
")",
"as",
"scope",
":",
"labeled_tensor",
"=",
"core",
".",
"convert_to_labeled_tensor",
"(",
"labeled_tensor",
")",
"if",
"not",
"set",
"(",
"paddings",
".",
"keys",
"(",
")",
")",
"<=",
"set",
"(",
"labeled_tensor",
".",
"axes",
".",
"keys",
"(",
")",
")",
":",
"raise",
"ValueError",
"(",
"'pad axes %r are not contained in the set of axis '",
"'names %r on the input labeled tensor'",
"%",
"(",
"paddings",
".",
"keys",
"(",
")",
",",
"labeled_tensor",
".",
"axes",
")",
")",
"new_axes",
"=",
"[",
"]",
"padding_pairs",
"=",
"[",
"]",
"for",
"name",
",",
"axis",
"in",
"labeled_tensor",
".",
"axes",
".",
"items",
"(",
")",
":",
"if",
"name",
"in",
"paddings",
":",
"padding_before",
",",
"padding_after",
"=",
"paddings",
"[",
"name",
"]",
"axis_before",
"=",
"core",
".",
"Axis",
"(",
"name",
",",
"padding_before",
")",
"axis_after",
"=",
"core",
".",
"Axis",
"(",
"name",
",",
"padding_after",
")",
"new_axes",
".",
"append",
"(",
"core",
".",
"concat_axes",
"(",
"[",
"axis_before",
",",
"axis",
",",
"axis_after",
"]",
")",
")",
"padding_pairs",
".",
"append",
"(",
"(",
"len",
"(",
"axis_before",
")",
",",
"len",
"(",
"axis_after",
")",
")",
")",
"else",
":",
"new_axes",
".",
"append",
"(",
"axis",
")",
"padding_pairs",
".",
"append",
"(",
"(",
"0",
",",
"0",
")",
")",
"pad_op",
"=",
"array_ops",
".",
"pad",
"(",
"labeled_tensor",
".",
"tensor",
",",
"padding_pairs",
",",
"mode",
",",
"name",
"=",
"scope",
")",
"return",
"core",
".",
"LabeledTensor",
"(",
"pad_op",
",",
"new_axes",
")"
] | https://github.com/baidu-research/tensorflow-allreduce/blob/66d5b855e90b0949e9fa5cca5599fd729a70e874/tensorflow/contrib/labeled_tensor/python/ops/ops.py#L1031-L1078 |
||
NREL/EnergyPlus | fadc5973b85c70e8cc923efb69c144e808a26078 | scripts/dev/licensetext.py | python | pythonize | (text, line_limit=79, toolname='unspecified',
message=report_error) | return '#' + '\n#'.join(lines) + '\n' | Convert the C++ comment text into Python comments | Convert the C++ comment text into Python comments | [
"Convert",
"the",
"C",
"++",
"comment",
"text",
"into",
"Python",
"comments"
] | def pythonize(text, line_limit=79, toolname='unspecified',
message=report_error):
'''Convert the C++ comment text into Python comments'''
paragraphs = [el for el in merge_paragraphs(text).splitlines() if el != '']
if len(paragraphs) != 8 or line_limit < 7:
message({'tool': toolname,
'filename': 'unknown',
'file': 'unknown',
'line': 1,
'messagetype': 'error',
'message': 'License text cannot processed'})
return ''
lines = []
# Work the first three paragraphs
limit = line_limit - 2
for pg in paragraphs[0:3]:
lines.extend([' ' + el for el in textwrap.wrap(pg, width=limit)])
lines.append('')
# Work the next four paragraphs
limit = line_limit - 6
for i, pg in enumerate(paragraphs[3:7]):
sublines = textwrap.wrap(pg[4:], width=limit)
lines.append((' (%d) ' % (i + 1)) + sublines[0])
for el in sublines[1:]:
lines.append(' ' + el)
lines.append('')
# Work the last paragraph
limit = line_limit - 2
lines.extend([' ' + el for el in textwrap.wrap(paragraphs[7],
width=limit)])
return '#' + '\n#'.join(lines) + '\n' | [
"def",
"pythonize",
"(",
"text",
",",
"line_limit",
"=",
"79",
",",
"toolname",
"=",
"'unspecified'",
",",
"message",
"=",
"report_error",
")",
":",
"paragraphs",
"=",
"[",
"el",
"for",
"el",
"in",
"merge_paragraphs",
"(",
"text",
")",
".",
"splitlines",
"(",
")",
"if",
"el",
"!=",
"''",
"]",
"if",
"len",
"(",
"paragraphs",
")",
"!=",
"8",
"or",
"line_limit",
"<",
"7",
":",
"message",
"(",
"{",
"'tool'",
":",
"toolname",
",",
"'filename'",
":",
"'unknown'",
",",
"'file'",
":",
"'unknown'",
",",
"'line'",
":",
"1",
",",
"'messagetype'",
":",
"'error'",
",",
"'message'",
":",
"'License text cannot processed'",
"}",
")",
"return",
"''",
"lines",
"=",
"[",
"]",
"# Work the first three paragraphs",
"limit",
"=",
"line_limit",
"-",
"2",
"for",
"pg",
"in",
"paragraphs",
"[",
"0",
":",
"3",
"]",
":",
"lines",
".",
"extend",
"(",
"[",
"' '",
"+",
"el",
"for",
"el",
"in",
"textwrap",
".",
"wrap",
"(",
"pg",
",",
"width",
"=",
"limit",
")",
"]",
")",
"lines",
".",
"append",
"(",
"''",
")",
"# Work the next four paragraphs",
"limit",
"=",
"line_limit",
"-",
"6",
"for",
"i",
",",
"pg",
"in",
"enumerate",
"(",
"paragraphs",
"[",
"3",
":",
"7",
"]",
")",
":",
"sublines",
"=",
"textwrap",
".",
"wrap",
"(",
"pg",
"[",
"4",
":",
"]",
",",
"width",
"=",
"limit",
")",
"lines",
".",
"append",
"(",
"(",
"' (%d) '",
"%",
"(",
"i",
"+",
"1",
")",
")",
"+",
"sublines",
"[",
"0",
"]",
")",
"for",
"el",
"in",
"sublines",
"[",
"1",
":",
"]",
":",
"lines",
".",
"append",
"(",
"' '",
"+",
"el",
")",
"lines",
".",
"append",
"(",
"''",
")",
"# Work the last paragraph",
"limit",
"=",
"line_limit",
"-",
"2",
"lines",
".",
"extend",
"(",
"[",
"' '",
"+",
"el",
"for",
"el",
"in",
"textwrap",
".",
"wrap",
"(",
"paragraphs",
"[",
"7",
"]",
",",
"width",
"=",
"limit",
")",
"]",
")",
"return",
"'#'",
"+",
"'\\n#'",
".",
"join",
"(",
"lines",
")",
"+",
"'\\n'"
] | https://github.com/NREL/EnergyPlus/blob/fadc5973b85c70e8cc923efb69c144e808a26078/scripts/dev/licensetext.py#L166-L196 |
|
cms-sw/cmssw | fd9de012d503d3405420bcbeec0ec879baa57cf2 | Alignment/MuonAlignment/python/svgfig.py | python | make_symbol | (id, shape="dot", **attr) | return output | Creates a new instance of an SVG symbol to avoid cross-linking objects.
id required a new identifier (string/Unicode)
shape default="dot" the shape name from _symbol_templates
attribute=value list keyword list modify the SVG attributes of the new symbol | Creates a new instance of an SVG symbol to avoid cross-linking objects. | [
"Creates",
"a",
"new",
"instance",
"of",
"an",
"SVG",
"symbol",
"to",
"avoid",
"cross",
"-",
"linking",
"objects",
"."
] | def make_symbol(id, shape="dot", **attr):
"""Creates a new instance of an SVG symbol to avoid cross-linking objects.
id required a new identifier (string/Unicode)
shape default="dot" the shape name from _symbol_templates
attribute=value list keyword list modify the SVG attributes of the new symbol
"""
output = copy.deepcopy(_symbol_templates[shape])
for i in output.sub: i.attr.update(attr_preprocess(attr))
output["id"] = id
return output | [
"def",
"make_symbol",
"(",
"id",
",",
"shape",
"=",
"\"dot\"",
",",
"*",
"*",
"attr",
")",
":",
"output",
"=",
"copy",
".",
"deepcopy",
"(",
"_symbol_templates",
"[",
"shape",
"]",
")",
"for",
"i",
"in",
"output",
".",
"sub",
":",
"i",
".",
"attr",
".",
"update",
"(",
"attr_preprocess",
"(",
"attr",
")",
")",
"output",
"[",
"\"id\"",
"]",
"=",
"id",
"return",
"output"
] | https://github.com/cms-sw/cmssw/blob/fd9de012d503d3405420bcbeec0ec879baa57cf2/Alignment/MuonAlignment/python/svgfig.py#L1894-L1904 |
|
adobe/chromium | cfe5bf0b51b1f6b9fe239c2a3c2f2364da9967d7 | base/android/jni_generator/jni_generator.py | python | JavaDataTypeToC | (java_type) | Returns a C datatype for the given java type. | Returns a C datatype for the given java type. | [
"Returns",
"a",
"C",
"datatype",
"for",
"the",
"given",
"java",
"type",
"."
] | def JavaDataTypeToC(java_type):
"""Returns a C datatype for the given java type."""
java_pod_type_map = {
'int': 'jint',
'byte': 'jbyte',
'boolean': 'jboolean',
'long': 'jlong',
'double': 'jdouble',
'float': 'jfloat',
}
java_type_map = {
'void': 'void',
'String': 'jstring',
}
if java_type in java_pod_type_map:
return java_pod_type_map[java_type]
elif java_type in java_type_map:
return java_type_map[java_type]
elif java_type.endswith('[]'):
if java_type[:-2] in java_pod_type_map:
return java_pod_type_map[java_type[:-2]] + 'Array'
return 'jobjectArray'
else:
return 'jobject' | [
"def",
"JavaDataTypeToC",
"(",
"java_type",
")",
":",
"java_pod_type_map",
"=",
"{",
"'int'",
":",
"'jint'",
",",
"'byte'",
":",
"'jbyte'",
",",
"'boolean'",
":",
"'jboolean'",
",",
"'long'",
":",
"'jlong'",
",",
"'double'",
":",
"'jdouble'",
",",
"'float'",
":",
"'jfloat'",
",",
"}",
"java_type_map",
"=",
"{",
"'void'",
":",
"'void'",
",",
"'String'",
":",
"'jstring'",
",",
"}",
"if",
"java_type",
"in",
"java_pod_type_map",
":",
"return",
"java_pod_type_map",
"[",
"java_type",
"]",
"elif",
"java_type",
"in",
"java_type_map",
":",
"return",
"java_type_map",
"[",
"java_type",
"]",
"elif",
"java_type",
".",
"endswith",
"(",
"'[]'",
")",
":",
"if",
"java_type",
"[",
":",
"-",
"2",
"]",
"in",
"java_pod_type_map",
":",
"return",
"java_pod_type_map",
"[",
"java_type",
"[",
":",
"-",
"2",
"]",
"]",
"+",
"'Array'",
"return",
"'jobjectArray'",
"else",
":",
"return",
"'jobject'"
] | https://github.com/adobe/chromium/blob/cfe5bf0b51b1f6b9fe239c2a3c2f2364da9967d7/base/android/jni_generator/jni_generator.py#L91-L114 |
||
mindspore-ai/mindspore | fb8fd3338605bb34fa5cea054e535a8b1d753fab | mindspore/python/mindspore/ops/composite/multitype_ops/_compile_utils.py | python | _tensor_getitem | (self, index) | Handle tensor getitem | Handle tensor getitem | [
"Handle",
"tensor",
"getitem"
] | def _tensor_getitem(self, index):
"""Handle tensor getitem"""
if isinstance(index, Tensor):
return tensor_index_by_tensor(self, index)
if isinstance(index, list):
return tensor_index_by_list(self, index)
if isinstance(index, tuple):
return tensor_index_by_tuple(self, index)
if isinstance(index, bool):
return _tensor_index_by_bool(self, index)
if isinstance(index, int):
return _tensor_index_by_integer(self, index)
if isinstance(index, slice):
return tensor_index_by_slice(self, index)
if index is None:
return F.expand_dims(self, 0)
if index is ...:
return self
raise IndexError(f"Only support integers, slices(`:`), ellipsis(`...`), None, bool, tensor with int, "
f"list and tuple ,but got {index} with type {type(index)}.") | [
"def",
"_tensor_getitem",
"(",
"self",
",",
"index",
")",
":",
"if",
"isinstance",
"(",
"index",
",",
"Tensor",
")",
":",
"return",
"tensor_index_by_tensor",
"(",
"self",
",",
"index",
")",
"if",
"isinstance",
"(",
"index",
",",
"list",
")",
":",
"return",
"tensor_index_by_list",
"(",
"self",
",",
"index",
")",
"if",
"isinstance",
"(",
"index",
",",
"tuple",
")",
":",
"return",
"tensor_index_by_tuple",
"(",
"self",
",",
"index",
")",
"if",
"isinstance",
"(",
"index",
",",
"bool",
")",
":",
"return",
"_tensor_index_by_bool",
"(",
"self",
",",
"index",
")",
"if",
"isinstance",
"(",
"index",
",",
"int",
")",
":",
"return",
"_tensor_index_by_integer",
"(",
"self",
",",
"index",
")",
"if",
"isinstance",
"(",
"index",
",",
"slice",
")",
":",
"return",
"tensor_index_by_slice",
"(",
"self",
",",
"index",
")",
"if",
"index",
"is",
"None",
":",
"return",
"F",
".",
"expand_dims",
"(",
"self",
",",
"0",
")",
"if",
"index",
"is",
"...",
":",
"return",
"self",
"raise",
"IndexError",
"(",
"f\"Only support integers, slices(`:`), ellipsis(`...`), None, bool, tensor with int, \"",
"f\"list and tuple ,but got {index} with type {type(index)}.\"",
")"
] | https://github.com/mindspore-ai/mindspore/blob/fb8fd3338605bb34fa5cea054e535a8b1d753fab/mindspore/python/mindspore/ops/composite/multitype_ops/_compile_utils.py#L32-L51 |
||
catboost/catboost | 167f64f237114a4d10b2b4ee42adb4569137debe | contrib/python/pandas/py3/pandas/core/arrays/datetimes.py | python | objects_to_datetime64ns | (
data: np.ndarray,
dayfirst,
yearfirst,
utc=False,
errors="raise",
require_iso8601: bool = False,
allow_object: bool = False,
allow_mixed: bool = False,
) | Convert data to array of timestamps.
Parameters
----------
data : np.ndarray[object]
dayfirst : bool
yearfirst : bool
utc : bool, default False
Whether to convert timezone-aware timestamps to UTC.
errors : {'raise', 'ignore', 'coerce'}
require_iso8601 : bool, default False
allow_object : bool
Whether to return an object-dtype ndarray instead of raising if the
data contains more than one timezone.
allow_mixed : bool, default False
Interpret integers as timestamps when datetime objects are also present.
Returns
-------
result : ndarray
np.int64 dtype if returned values represent UTC timestamps
np.datetime64[ns] if returned values represent wall times
object if mixed timezones
inferred_tz : tzinfo or None
Raises
------
ValueError : if data cannot be converted to datetimes | Convert data to array of timestamps. | [
"Convert",
"data",
"to",
"array",
"of",
"timestamps",
"."
] | def objects_to_datetime64ns(
data: np.ndarray,
dayfirst,
yearfirst,
utc=False,
errors="raise",
require_iso8601: bool = False,
allow_object: bool = False,
allow_mixed: bool = False,
):
"""
Convert data to array of timestamps.
Parameters
----------
data : np.ndarray[object]
dayfirst : bool
yearfirst : bool
utc : bool, default False
Whether to convert timezone-aware timestamps to UTC.
errors : {'raise', 'ignore', 'coerce'}
require_iso8601 : bool, default False
allow_object : bool
Whether to return an object-dtype ndarray instead of raising if the
data contains more than one timezone.
allow_mixed : bool, default False
Interpret integers as timestamps when datetime objects are also present.
Returns
-------
result : ndarray
np.int64 dtype if returned values represent UTC timestamps
np.datetime64[ns] if returned values represent wall times
object if mixed timezones
inferred_tz : tzinfo or None
Raises
------
ValueError : if data cannot be converted to datetimes
"""
assert errors in ["raise", "ignore", "coerce"]
# if str-dtype, convert
data = np.array(data, copy=False, dtype=np.object_)
flags = data.flags
order: Literal["F", "C"] = "F" if flags.f_contiguous else "C"
try:
result, tz_parsed = tslib.array_to_datetime(
data.ravel("K"),
errors=errors,
utc=utc,
dayfirst=dayfirst,
yearfirst=yearfirst,
require_iso8601=require_iso8601,
allow_mixed=allow_mixed,
)
result = result.reshape(data.shape, order=order)
except ValueError as err:
try:
values, tz_parsed = conversion.datetime_to_datetime64(data.ravel("K"))
# If tzaware, these values represent unix timestamps, so we
# return them as i8 to distinguish from wall times
values = values.reshape(data.shape, order=order)
return values.view("i8"), tz_parsed
except (ValueError, TypeError):
raise err
if tz_parsed is not None:
# We can take a shortcut since the datetime64 numpy array
# is in UTC
# Return i8 values to denote unix timestamps
return result.view("i8"), tz_parsed
elif is_datetime64_dtype(result):
# returning M8[ns] denotes wall-times; since tz is None
# the distinction is a thin one
return result, tz_parsed
elif is_object_dtype(result):
# GH#23675 when called via `pd.to_datetime`, returning an object-dtype
# array is allowed. When called via `pd.DatetimeIndex`, we can
# only accept datetime64 dtype, so raise TypeError if object-dtype
# is returned, as that indicates the values can be recognized as
# datetimes but they have conflicting timezones/awareness
if allow_object:
return result, tz_parsed
raise TypeError(result)
else: # pragma: no cover
# GH#23675 this TypeError should never be hit, whereas the TypeError
# in the object-dtype branch above is reachable.
raise TypeError(result) | [
"def",
"objects_to_datetime64ns",
"(",
"data",
":",
"np",
".",
"ndarray",
",",
"dayfirst",
",",
"yearfirst",
",",
"utc",
"=",
"False",
",",
"errors",
"=",
"\"raise\"",
",",
"require_iso8601",
":",
"bool",
"=",
"False",
",",
"allow_object",
":",
"bool",
"=",
"False",
",",
"allow_mixed",
":",
"bool",
"=",
"False",
",",
")",
":",
"assert",
"errors",
"in",
"[",
"\"raise\"",
",",
"\"ignore\"",
",",
"\"coerce\"",
"]",
"# if str-dtype, convert",
"data",
"=",
"np",
".",
"array",
"(",
"data",
",",
"copy",
"=",
"False",
",",
"dtype",
"=",
"np",
".",
"object_",
")",
"flags",
"=",
"data",
".",
"flags",
"order",
":",
"Literal",
"[",
"\"F\"",
",",
"\"C\"",
"]",
"=",
"\"F\"",
"if",
"flags",
".",
"f_contiguous",
"else",
"\"C\"",
"try",
":",
"result",
",",
"tz_parsed",
"=",
"tslib",
".",
"array_to_datetime",
"(",
"data",
".",
"ravel",
"(",
"\"K\"",
")",
",",
"errors",
"=",
"errors",
",",
"utc",
"=",
"utc",
",",
"dayfirst",
"=",
"dayfirst",
",",
"yearfirst",
"=",
"yearfirst",
",",
"require_iso8601",
"=",
"require_iso8601",
",",
"allow_mixed",
"=",
"allow_mixed",
",",
")",
"result",
"=",
"result",
".",
"reshape",
"(",
"data",
".",
"shape",
",",
"order",
"=",
"order",
")",
"except",
"ValueError",
"as",
"err",
":",
"try",
":",
"values",
",",
"tz_parsed",
"=",
"conversion",
".",
"datetime_to_datetime64",
"(",
"data",
".",
"ravel",
"(",
"\"K\"",
")",
")",
"# If tzaware, these values represent unix timestamps, so we",
"# return them as i8 to distinguish from wall times",
"values",
"=",
"values",
".",
"reshape",
"(",
"data",
".",
"shape",
",",
"order",
"=",
"order",
")",
"return",
"values",
".",
"view",
"(",
"\"i8\"",
")",
",",
"tz_parsed",
"except",
"(",
"ValueError",
",",
"TypeError",
")",
":",
"raise",
"err",
"if",
"tz_parsed",
"is",
"not",
"None",
":",
"# We can take a shortcut since the datetime64 numpy array",
"# is in UTC",
"# Return i8 values to denote unix timestamps",
"return",
"result",
".",
"view",
"(",
"\"i8\"",
")",
",",
"tz_parsed",
"elif",
"is_datetime64_dtype",
"(",
"result",
")",
":",
"# returning M8[ns] denotes wall-times; since tz is None",
"# the distinction is a thin one",
"return",
"result",
",",
"tz_parsed",
"elif",
"is_object_dtype",
"(",
"result",
")",
":",
"# GH#23675 when called via `pd.to_datetime`, returning an object-dtype",
"# array is allowed. When called via `pd.DatetimeIndex`, we can",
"# only accept datetime64 dtype, so raise TypeError if object-dtype",
"# is returned, as that indicates the values can be recognized as",
"# datetimes but they have conflicting timezones/awareness",
"if",
"allow_object",
":",
"return",
"result",
",",
"tz_parsed",
"raise",
"TypeError",
"(",
"result",
")",
"else",
":",
"# pragma: no cover",
"# GH#23675 this TypeError should never be hit, whereas the TypeError",
"# in the object-dtype branch above is reachable.",
"raise",
"TypeError",
"(",
"result",
")"
] | https://github.com/catboost/catboost/blob/167f64f237114a4d10b2b4ee42adb4569137debe/contrib/python/pandas/py3/pandas/core/arrays/datetimes.py#L2132-L2221 |
||
tomahawk-player/tomahawk-resolvers | 7f827bbe410ccfdb0446f7d6a91acc2199c9cc8d | archive/spotify/breakpad/third_party/protobuf/protobuf/python/google/protobuf/internal/decoder.py | python | _SkipFixed32 | (buffer, pos, end) | return pos | Skip a fixed32 value. Returns the new position. | Skip a fixed32 value. Returns the new position. | [
"Skip",
"a",
"fixed32",
"value",
".",
"Returns",
"the",
"new",
"position",
"."
] | def _SkipFixed32(buffer, pos, end):
"""Skip a fixed32 value. Returns the new position."""
pos += 4
if pos > end:
raise _DecodeError('Truncated message.')
return pos | [
"def",
"_SkipFixed32",
"(",
"buffer",
",",
"pos",
",",
"end",
")",
":",
"pos",
"+=",
"4",
"if",
"pos",
">",
"end",
":",
"raise",
"_DecodeError",
"(",
"'Truncated message.'",
")",
"return",
"pos"
] | https://github.com/tomahawk-player/tomahawk-resolvers/blob/7f827bbe410ccfdb0446f7d6a91acc2199c9cc8d/archive/spotify/breakpad/third_party/protobuf/protobuf/python/google/protobuf/internal/decoder.py#L668-L674 |
|
catboost/catboost | 167f64f237114a4d10b2b4ee42adb4569137debe | contrib/python/parso/py2/parso/utils.py | python | parse_version_string | (version=None) | return _parse_version(version) | Checks for a valid version number (e.g. `3.8` or `2.7.1` or `3`) and
returns a corresponding version info that is always two characters long in
decimal. | Checks for a valid version number (e.g. `3.8` or `2.7.1` or `3`) and
returns a corresponding version info that is always two characters long in
decimal. | [
"Checks",
"for",
"a",
"valid",
"version",
"number",
"(",
"e",
".",
"g",
".",
"3",
".",
"8",
"or",
"2",
".",
"7",
".",
"1",
"or",
"3",
")",
"and",
"returns",
"a",
"corresponding",
"version",
"info",
"that",
"is",
"always",
"two",
"characters",
"long",
"in",
"decimal",
"."
] | def parse_version_string(version=None):
"""
Checks for a valid version number (e.g. `3.8` or `2.7.1` or `3`) and
returns a corresponding version info that is always two characters long in
decimal.
"""
if version is None:
version = '%s.%s' % sys.version_info[:2]
if not isinstance(version, (unicode, str)):
raise TypeError('version must be a string like "3.8"')
return _parse_version(version) | [
"def",
"parse_version_string",
"(",
"version",
"=",
"None",
")",
":",
"if",
"version",
"is",
"None",
":",
"version",
"=",
"'%s.%s'",
"%",
"sys",
".",
"version_info",
"[",
":",
"2",
"]",
"if",
"not",
"isinstance",
"(",
"version",
",",
"(",
"unicode",
",",
"str",
")",
")",
":",
"raise",
"TypeError",
"(",
"'version must be a string like \"3.8\"'",
")",
"return",
"_parse_version",
"(",
"version",
")"
] | https://github.com/catboost/catboost/blob/167f64f237114a4d10b2b4ee42adb4569137debe/contrib/python/parso/py2/parso/utils.py#L174-L185 |
|
aws/lumberyard | f85344403c1c2e77ec8c75deb2c116e97b713217 | dev/Tools/Python/3.7.10/linux_x64/lib/python3.7/site-packages/pkg_resources/__init__.py | python | yield_lines | (strs) | Yield non-empty/non-comment lines of a string or sequence | Yield non-empty/non-comment lines of a string or sequence | [
"Yield",
"non",
"-",
"empty",
"/",
"non",
"-",
"comment",
"lines",
"of",
"a",
"string",
"or",
"sequence"
] | def yield_lines(strs):
"""Yield non-empty/non-comment lines of a string or sequence"""
if isinstance(strs, six.string_types):
for s in strs.splitlines():
s = s.strip()
# skip blank lines/comments
if s and not s.startswith('#'):
yield s
else:
for ss in strs:
for s in yield_lines(ss):
yield s | [
"def",
"yield_lines",
"(",
"strs",
")",
":",
"if",
"isinstance",
"(",
"strs",
",",
"six",
".",
"string_types",
")",
":",
"for",
"s",
"in",
"strs",
".",
"splitlines",
"(",
")",
":",
"s",
"=",
"s",
".",
"strip",
"(",
")",
"# skip blank lines/comments",
"if",
"s",
"and",
"not",
"s",
".",
"startswith",
"(",
"'#'",
")",
":",
"yield",
"s",
"else",
":",
"for",
"ss",
"in",
"strs",
":",
"for",
"s",
"in",
"yield_lines",
"(",
"ss",
")",
":",
"yield",
"s"
] | https://github.com/aws/lumberyard/blob/f85344403c1c2e77ec8c75deb2c116e97b713217/dev/Tools/Python/3.7.10/linux_x64/lib/python3.7/site-packages/pkg_resources/__init__.py#L2397-L2408 |
||
tfwu/FaceDetection-ConvNet-3D | f9251c48eb40c5aec8fba7455115c355466555be | python/build/lib.linux-x86_64-2.7/mxnet/monitor.py | python | Monitor.toc | (self) | return res | End collecting for current batch and return results.
Call after computation of current batch.
Returns
-------
res : list of | End collecting for current batch and return results.
Call after computation of current batch. | [
"End",
"collecting",
"for",
"current",
"batch",
"and",
"return",
"results",
".",
"Call",
"after",
"computation",
"of",
"current",
"batch",
"."
] | def toc(self):
"""End collecting for current batch and return results.
Call after computation of current batch.
Returns
-------
res : list of """
if not self.activated:
return []
for exe in self.exes:
for array in exe.arg_arrays:
array.wait_to_read()
for exe in self.exes:
for name, array in zip(exe._symbol.list_arguments(), exe.arg_arrays):
if self.re_prog.match(name):
self.queue.append((self.step, name, self.stat_func(array)))
self.activated = False
res = []
if self.sort:
self.queue.sort(key=lambda x: x[1])
for n, k, v_list in self.queue:
if isinstance(v_list, NDArray):
v_list = [v_list]
assert isinstance(v_list, list)
s = ''
for v in v_list:
assert isinstance(v, NDArray)
if v.shape == (1,):
s += str(v.asscalar()) + '\t'
else:
s += str(v.asnumpy()) + '\t'
res.append((n, k, s))
self.queue = []
return res | [
"def",
"toc",
"(",
"self",
")",
":",
"if",
"not",
"self",
".",
"activated",
":",
"return",
"[",
"]",
"for",
"exe",
"in",
"self",
".",
"exes",
":",
"for",
"array",
"in",
"exe",
".",
"arg_arrays",
":",
"array",
".",
"wait_to_read",
"(",
")",
"for",
"exe",
"in",
"self",
".",
"exes",
":",
"for",
"name",
",",
"array",
"in",
"zip",
"(",
"exe",
".",
"_symbol",
".",
"list_arguments",
"(",
")",
",",
"exe",
".",
"arg_arrays",
")",
":",
"if",
"self",
".",
"re_prog",
".",
"match",
"(",
"name",
")",
":",
"self",
".",
"queue",
".",
"append",
"(",
"(",
"self",
".",
"step",
",",
"name",
",",
"self",
".",
"stat_func",
"(",
"array",
")",
")",
")",
"self",
".",
"activated",
"=",
"False",
"res",
"=",
"[",
"]",
"if",
"self",
".",
"sort",
":",
"self",
".",
"queue",
".",
"sort",
"(",
"key",
"=",
"lambda",
"x",
":",
"x",
"[",
"1",
"]",
")",
"for",
"n",
",",
"k",
",",
"v_list",
"in",
"self",
".",
"queue",
":",
"if",
"isinstance",
"(",
"v_list",
",",
"NDArray",
")",
":",
"v_list",
"=",
"[",
"v_list",
"]",
"assert",
"isinstance",
"(",
"v_list",
",",
"list",
")",
"s",
"=",
"''",
"for",
"v",
"in",
"v_list",
":",
"assert",
"isinstance",
"(",
"v",
",",
"NDArray",
")",
"if",
"v",
".",
"shape",
"==",
"(",
"1",
",",
")",
":",
"s",
"+=",
"str",
"(",
"v",
".",
"asscalar",
"(",
")",
")",
"+",
"'\\t'",
"else",
":",
"s",
"+=",
"str",
"(",
"v",
".",
"asnumpy",
"(",
")",
")",
"+",
"'\\t'",
"res",
".",
"append",
"(",
"(",
"n",
",",
"k",
",",
"s",
")",
")",
"self",
".",
"queue",
"=",
"[",
"]",
"return",
"res"
] | https://github.com/tfwu/FaceDetection-ConvNet-3D/blob/f9251c48eb40c5aec8fba7455115c355466555be/python/build/lib.linux-x86_64-2.7/mxnet/monitor.py#L77-L110 |
|
macchina-io/macchina.io | ef24ba0e18379c3dd48fb84e6dbf991101cb8db0 | platform/JS/V8/tools/gyp/pylib/gyp/ninja_syntax.py | python | Writer._count_dollars_before_index | (self, s, i) | return dollar_count | Returns the number of '$' characters right in front of s[i]. | Returns the number of '$' characters right in front of s[i]. | [
"Returns",
"the",
"number",
"of",
"$",
"characters",
"right",
"in",
"front",
"of",
"s",
"[",
"i",
"]",
"."
] | def _count_dollars_before_index(self, s, i):
"""Returns the number of '$' characters right in front of s[i]."""
dollar_count = 0
dollar_index = i - 1
while dollar_index > 0 and s[dollar_index] == '$':
dollar_count += 1
dollar_index -= 1
return dollar_count | [
"def",
"_count_dollars_before_index",
"(",
"self",
",",
"s",
",",
"i",
")",
":",
"dollar_count",
"=",
"0",
"dollar_index",
"=",
"i",
"-",
"1",
"while",
"dollar_index",
">",
"0",
"and",
"s",
"[",
"dollar_index",
"]",
"==",
"'$'",
":",
"dollar_count",
"+=",
"1",
"dollar_index",
"-=",
"1",
"return",
"dollar_count"
] | https://github.com/macchina-io/macchina.io/blob/ef24ba0e18379c3dd48fb84e6dbf991101cb8db0/platform/JS/V8/tools/gyp/pylib/gyp/ninja_syntax.py#L102-L109 |
|
nnrg/opennero | 43e12a1bcba6e228639db3886fec1dc47ddc24cb | mods/Roomba/RLAgent.py | python | TabularRLAgent.end | (self, time, reward) | return True | receive the reward for the last observation | receive the reward for the last observation | [
"receive",
"the",
"reward",
"for",
"the",
"last",
"observation"
] | def end(self, time, reward):
"""
receive the reward for the last observation
"""
# get the reward from the last action
r = reward[0]
o = self.previous_sensors
a = self.previous_action
# get the updated epsilon, in case the slider was changed by the user
#self.epsilon = get_environment().epsilon
# Update the Q value
Q_old = self.predict(o, a)
q = self.update(o, a, Q_old + self.alpha * (r - Q_old) )
return True | [
"def",
"end",
"(",
"self",
",",
"time",
",",
"reward",
")",
":",
"# get the reward from the last action",
"r",
"=",
"reward",
"[",
"0",
"]",
"o",
"=",
"self",
".",
"previous_sensors",
"a",
"=",
"self",
".",
"previous_action",
"# get the updated epsilon, in case the slider was changed by the user",
"#self.epsilon = get_environment().epsilon",
"# Update the Q value",
"Q_old",
"=",
"self",
".",
"predict",
"(",
"o",
",",
"a",
")",
"q",
"=",
"self",
".",
"update",
"(",
"o",
",",
"a",
",",
"Q_old",
"+",
"self",
".",
"alpha",
"*",
"(",
"r",
"-",
"Q_old",
")",
")",
"return",
"True"
] | https://github.com/nnrg/opennero/blob/43e12a1bcba6e228639db3886fec1dc47ddc24cb/mods/Roomba/RLAgent.py#L172-L187 |
|
catboost/catboost | 167f64f237114a4d10b2b4ee42adb4569137debe | contrib/python/ipython/py2/IPython/utils/text.py | python | long_substr | (data) | return substr | Return the longest common substring in a list of strings.
Credit: http://stackoverflow.com/questions/2892931/longest-common-substring-from-more-than-two-strings-python | Return the longest common substring in a list of strings.
Credit: http://stackoverflow.com/questions/2892931/longest-common-substring-from-more-than-two-strings-python | [
"Return",
"the",
"longest",
"common",
"substring",
"in",
"a",
"list",
"of",
"strings",
".",
"Credit",
":",
"http",
":",
"//",
"stackoverflow",
".",
"com",
"/",
"questions",
"/",
"2892931",
"/",
"longest",
"-",
"common",
"-",
"substring",
"-",
"from",
"-",
"more",
"-",
"than",
"-",
"two",
"-",
"strings",
"-",
"python"
] | def long_substr(data):
"""Return the longest common substring in a list of strings.
Credit: http://stackoverflow.com/questions/2892931/longest-common-substring-from-more-than-two-strings-python
"""
substr = ''
if len(data) > 1 and len(data[0]) > 0:
for i in range(len(data[0])):
for j in range(len(data[0])-i+1):
if j > len(substr) and all(data[0][i:i+j] in x for x in data):
substr = data[0][i:i+j]
elif len(data) == 1:
substr = data[0]
return substr | [
"def",
"long_substr",
"(",
"data",
")",
":",
"substr",
"=",
"''",
"if",
"len",
"(",
"data",
")",
">",
"1",
"and",
"len",
"(",
"data",
"[",
"0",
"]",
")",
">",
"0",
":",
"for",
"i",
"in",
"range",
"(",
"len",
"(",
"data",
"[",
"0",
"]",
")",
")",
":",
"for",
"j",
"in",
"range",
"(",
"len",
"(",
"data",
"[",
"0",
"]",
")",
"-",
"i",
"+",
"1",
")",
":",
"if",
"j",
">",
"len",
"(",
"substr",
")",
"and",
"all",
"(",
"data",
"[",
"0",
"]",
"[",
"i",
":",
"i",
"+",
"j",
"]",
"in",
"x",
"for",
"x",
"in",
"data",
")",
":",
"substr",
"=",
"data",
"[",
"0",
"]",
"[",
"i",
":",
"i",
"+",
"j",
"]",
"elif",
"len",
"(",
"data",
")",
"==",
"1",
":",
"substr",
"=",
"data",
"[",
"0",
"]",
"return",
"substr"
] | https://github.com/catboost/catboost/blob/167f64f237114a4d10b2b4ee42adb4569137debe/contrib/python/ipython/py2/IPython/utils/text.py#L416-L429 |
|
wlanjie/AndroidFFmpeg | 7baf9122f4b8e1c74e7baf4be5c422c7a5ba5aaf | tools/fdk-aac-build/x86/toolchain/lib/python2.7/cgi.py | python | test | (environ=os.environ) | Robust test CGI script, usable as main program.
Write minimal HTTP headers and dump all information provided to
the script in HTML form. | Robust test CGI script, usable as main program. | [
"Robust",
"test",
"CGI",
"script",
"usable",
"as",
"main",
"program",
"."
] | def test(environ=os.environ):
"""Robust test CGI script, usable as main program.
Write minimal HTTP headers and dump all information provided to
the script in HTML form.
"""
print "Content-type: text/html"
print
sys.stderr = sys.stdout
try:
form = FieldStorage() # Replace with other classes to test those
print_directory()
print_arguments()
print_form(form)
print_environ(environ)
print_environ_usage()
def f():
exec "testing print_exception() -- <I>italics?</I>"
def g(f=f):
f()
print "<H3>What follows is a test, not an actual exception:</H3>"
g()
except:
print_exception()
print "<H1>Second try with a small maxlen...</H1>"
global maxlen
maxlen = 50
try:
form = FieldStorage() # Replace with other classes to test those
print_directory()
print_arguments()
print_form(form)
print_environ(environ)
except:
print_exception() | [
"def",
"test",
"(",
"environ",
"=",
"os",
".",
"environ",
")",
":",
"print",
"\"Content-type: text/html\"",
"print",
"sys",
".",
"stderr",
"=",
"sys",
".",
"stdout",
"try",
":",
"form",
"=",
"FieldStorage",
"(",
")",
"# Replace with other classes to test those",
"print_directory",
"(",
")",
"print_arguments",
"(",
")",
"print_form",
"(",
"form",
")",
"print_environ",
"(",
"environ",
")",
"print_environ_usage",
"(",
")",
"def",
"f",
"(",
")",
":",
"exec",
"\"testing print_exception() -- <I>italics?</I>\"",
"def",
"g",
"(",
"f",
"=",
"f",
")",
":",
"f",
"(",
")",
"print",
"\"<H3>What follows is a test, not an actual exception:</H3>\"",
"g",
"(",
")",
"except",
":",
"print_exception",
"(",
")",
"print",
"\"<H1>Second try with a small maxlen...</H1>\"",
"global",
"maxlen",
"maxlen",
"=",
"50",
"try",
":",
"form",
"=",
"FieldStorage",
"(",
")",
"# Replace with other classes to test those",
"print_directory",
"(",
")",
"print_arguments",
"(",
")",
"print_form",
"(",
"form",
")",
"print_environ",
"(",
"environ",
")",
"except",
":",
"print_exception",
"(",
")"
] | https://github.com/wlanjie/AndroidFFmpeg/blob/7baf9122f4b8e1c74e7baf4be5c422c7a5ba5aaf/tools/fdk-aac-build/x86/toolchain/lib/python2.7/cgi.py#L882-L919 |
||
vslavik/poedit | f7a9daa0a10037e090aa0a86f5ce0f24ececdf6a | deps/boost/tools/build/src/build/virtual_target.py | python | VirtualTarget.actualize_location | (self, target) | Sets up variables on 'target' which specify its location. | Sets up variables on 'target' which specify its location. | [
"Sets",
"up",
"variables",
"on",
"target",
"which",
"specify",
"its",
"location",
"."
] | def actualize_location (self, target):
""" Sets up variables on 'target' which specify its location.
"""
raise BaseException ("method should be defined in derived classes") | [
"def",
"actualize_location",
"(",
"self",
",",
"target",
")",
":",
"raise",
"BaseException",
"(",
"\"method should be defined in derived classes\"",
")"
] | https://github.com/vslavik/poedit/blob/f7a9daa0a10037e090aa0a86f5ce0f24ececdf6a/deps/boost/tools/build/src/build/virtual_target.py#L359-L362 |
||
hanpfei/chromium-net | 392cc1fa3a8f92f42e4071ab6e674d8e0482f83f | third_party/catapult/telemetry/telemetry/core/cros_interface.py | python | CrOSInterface._GetSessionManagerPid | (self, procs) | return None | Returns the pid of the session_manager process, given the list of
processes. | Returns the pid of the session_manager process, given the list of
processes. | [
"Returns",
"the",
"pid",
"of",
"the",
"session_manager",
"process",
"given",
"the",
"list",
"of",
"processes",
"."
] | def _GetSessionManagerPid(self, procs):
"""Returns the pid of the session_manager process, given the list of
processes."""
for pid, process, _, _ in procs:
argv = process.split()
if argv and os.path.basename(argv[0]) == 'session_manager':
return pid
return None | [
"def",
"_GetSessionManagerPid",
"(",
"self",
",",
"procs",
")",
":",
"for",
"pid",
",",
"process",
",",
"_",
",",
"_",
"in",
"procs",
":",
"argv",
"=",
"process",
".",
"split",
"(",
")",
"if",
"argv",
"and",
"os",
".",
"path",
".",
"basename",
"(",
"argv",
"[",
"0",
"]",
")",
"==",
"'session_manager'",
":",
"return",
"pid",
"return",
"None"
] | https://github.com/hanpfei/chromium-net/blob/392cc1fa3a8f92f42e4071ab6e674d8e0482f83f/third_party/catapult/telemetry/telemetry/core/cros_interface.py#L357-L364 |
|
krishauser/Klampt | 972cc83ea5befac3f653c1ba20f80155768ad519 | Python/python2_version/klampt/src/motionplanning.py | python | PlannerInterface.addMilestone | (self, milestone) | return _motionplanning.PlannerInterface_addMilestone(self, milestone) | addMilestone(PlannerInterface self, PyObject * milestone) -> int | addMilestone(PlannerInterface self, PyObject * milestone) -> int | [
"addMilestone",
"(",
"PlannerInterface",
"self",
"PyObject",
"*",
"milestone",
")",
"-",
">",
"int"
] | def addMilestone(self, milestone):
"""
addMilestone(PlannerInterface self, PyObject * milestone) -> int
"""
return _motionplanning.PlannerInterface_addMilestone(self, milestone) | [
"def",
"addMilestone",
"(",
"self",
",",
"milestone",
")",
":",
"return",
"_motionplanning",
".",
"PlannerInterface_addMilestone",
"(",
"self",
",",
"milestone",
")"
] | https://github.com/krishauser/Klampt/blob/972cc83ea5befac3f653c1ba20f80155768ad519/Python/python2_version/klampt/src/motionplanning.py#L854-L861 |
|
PaddlePaddle/PaddleOCR | b756bf5f8c90142e0d89d3db0163965c686b6ffe | ppocr/utils/e2e_utils/extract_textpoint_slow.py | python | get_keep_pos_idxs | (labels, remove_blank=None) | return keep_char_idx_list, keep_pos_idx_list | Remove duplicate and get pos idxs of keep items.
The value of keep_blank should be [None, 95]. | Remove duplicate and get pos idxs of keep items.
The value of keep_blank should be [None, 95]. | [
"Remove",
"duplicate",
"and",
"get",
"pos",
"idxs",
"of",
"keep",
"items",
".",
"The",
"value",
"of",
"keep_blank",
"should",
"be",
"[",
"None",
"95",
"]",
"."
] | def get_keep_pos_idxs(labels, remove_blank=None):
"""
Remove duplicate and get pos idxs of keep items.
The value of keep_blank should be [None, 95].
"""
duplicate_len_list = []
keep_pos_idx_list = []
keep_char_idx_list = []
for k, v_ in groupby(labels):
current_len = len(list(v_))
if k != remove_blank:
current_idx = int(sum(duplicate_len_list) + current_len // 2)
keep_pos_idx_list.append(current_idx)
keep_char_idx_list.append(k)
duplicate_len_list.append(current_len)
return keep_char_idx_list, keep_pos_idx_list | [
"def",
"get_keep_pos_idxs",
"(",
"labels",
",",
"remove_blank",
"=",
"None",
")",
":",
"duplicate_len_list",
"=",
"[",
"]",
"keep_pos_idx_list",
"=",
"[",
"]",
"keep_char_idx_list",
"=",
"[",
"]",
"for",
"k",
",",
"v_",
"in",
"groupby",
"(",
"labels",
")",
":",
"current_len",
"=",
"len",
"(",
"list",
"(",
"v_",
")",
")",
"if",
"k",
"!=",
"remove_blank",
":",
"current_idx",
"=",
"int",
"(",
"sum",
"(",
"duplicate_len_list",
")",
"+",
"current_len",
"//",
"2",
")",
"keep_pos_idx_list",
".",
"append",
"(",
"current_idx",
")",
"keep_char_idx_list",
".",
"append",
"(",
"k",
")",
"duplicate_len_list",
".",
"append",
"(",
"current_len",
")",
"return",
"keep_char_idx_list",
",",
"keep_pos_idx_list"
] | https://github.com/PaddlePaddle/PaddleOCR/blob/b756bf5f8c90142e0d89d3db0163965c686b6ffe/ppocr/utils/e2e_utils/extract_textpoint_slow.py#L107-L122 |
|
hanpfei/chromium-net | 392cc1fa3a8f92f42e4071ab6e674d8e0482f83f | build/android/emma_coverage_stats.py | python | _EmmaCoverageStats._GetSourceFileToEmmaFileDict | (self, files) | return source_to_emma | Gets a dict used to correlate Java source files with EMMA HTML files.
This method gathers the information needed to correlate EMMA HTML
files with Java source files. EMMA XML and plain text reports do not provide
line by line coverage data, so HTML reports must be used instead.
Unfortunately, the HTML files that are created are given garbage names
(i.e 1.html) so we need to manually correlate EMMA HTML files
with the original Java source files.
Args:
files: A list of file names for which coverage information is desired.
Returns:
A dict mapping Java source file paths to EMMA HTML file paths. | Gets a dict used to correlate Java source files with EMMA HTML files. | [
"Gets",
"a",
"dict",
"used",
"to",
"correlate",
"Java",
"source",
"files",
"with",
"EMMA",
"HTML",
"files",
"."
] | def _GetSourceFileToEmmaFileDict(self, files):
"""Gets a dict used to correlate Java source files with EMMA HTML files.
This method gathers the information needed to correlate EMMA HTML
files with Java source files. EMMA XML and plain text reports do not provide
line by line coverage data, so HTML reports must be used instead.
Unfortunately, the HTML files that are created are given garbage names
(i.e 1.html) so we need to manually correlate EMMA HTML files
with the original Java source files.
Args:
files: A list of file names for which coverage information is desired.
Returns:
A dict mapping Java source file paths to EMMA HTML file paths.
"""
# Maps Java source file paths to package names.
# Example: /usr/code/file.java -> org.chromium.file.java.
source_to_package = {}
for file_path in files:
package = self.GetPackageNameFromFile(file_path)
if package:
source_to_package[file_path] = package
else:
logging.warning("Skipping %s because it doesn\'t have a package "
"statement.", file_path)
# Maps package names to EMMA report HTML files.
# Example: org.chromium.file.java -> out/coverage/1a.html.
package_to_emma = self._emma_parser.GetPackageNameToEmmaFileDict()
# Finally, we have a dict mapping Java file paths to EMMA report files.
# Example: /usr/code/file.java -> out/coverage/1a.html.
source_to_emma = {source: package_to_emma[package]
for source, package in source_to_package.iteritems()
if package in package_to_emma}
return source_to_emma | [
"def",
"_GetSourceFileToEmmaFileDict",
"(",
"self",
",",
"files",
")",
":",
"# Maps Java source file paths to package names.",
"# Example: /usr/code/file.java -> org.chromium.file.java.",
"source_to_package",
"=",
"{",
"}",
"for",
"file_path",
"in",
"files",
":",
"package",
"=",
"self",
".",
"GetPackageNameFromFile",
"(",
"file_path",
")",
"if",
"package",
":",
"source_to_package",
"[",
"file_path",
"]",
"=",
"package",
"else",
":",
"logging",
".",
"warning",
"(",
"\"Skipping %s because it doesn\\'t have a package \"",
"\"statement.\"",
",",
"file_path",
")",
"# Maps package names to EMMA report HTML files.",
"# Example: org.chromium.file.java -> out/coverage/1a.html.",
"package_to_emma",
"=",
"self",
".",
"_emma_parser",
".",
"GetPackageNameToEmmaFileDict",
"(",
")",
"# Finally, we have a dict mapping Java file paths to EMMA report files.",
"# Example: /usr/code/file.java -> out/coverage/1a.html.",
"source_to_emma",
"=",
"{",
"source",
":",
"package_to_emma",
"[",
"package",
"]",
"for",
"source",
",",
"package",
"in",
"source_to_package",
".",
"iteritems",
"(",
")",
"if",
"package",
"in",
"package_to_emma",
"}",
"return",
"source_to_emma"
] | https://github.com/hanpfei/chromium-net/blob/392cc1fa3a8f92f42e4071ab6e674d8e0482f83f/build/android/emma_coverage_stats.py#L352-L387 |
|
snap-stanford/snap-python | d53c51b0a26aa7e3e7400b014cdf728948fde80a | setup/snap.py | python | TSIn.PeekCh | (self) | return _snap.TSIn_PeekCh(self) | PeekCh(TSIn self) -> char
Parameters:
self: TSIn * | PeekCh(TSIn self) -> char | [
"PeekCh",
"(",
"TSIn",
"self",
")",
"-",
">",
"char"
] | def PeekCh(self):
"""
PeekCh(TSIn self) -> char
Parameters:
self: TSIn *
"""
return _snap.TSIn_PeekCh(self) | [
"def",
"PeekCh",
"(",
"self",
")",
":",
"return",
"_snap",
".",
"TSIn_PeekCh",
"(",
"self",
")"
] | https://github.com/snap-stanford/snap-python/blob/d53c51b0a26aa7e3e7400b014cdf728948fde80a/setup/snap.py#L1818-L1826 |
|
wxWidgets/wxPython-Classic | 19571e1ae65f1ac445f5491474121998c97a1bf0 | wx/lib/agw/ultimatelistctrl.py | python | UltimateListCtrl.HasHeader | (self) | return self._mainWin.HasHeader() | Returns ``True`` if :class:`UltimateListCtrl` has a header window. | Returns ``True`` if :class:`UltimateListCtrl` has a header window. | [
"Returns",
"True",
"if",
":",
"class",
":",
"UltimateListCtrl",
"has",
"a",
"header",
"window",
"."
] | def HasHeader(self):
""" Returns ``True`` if :class:`UltimateListCtrl` has a header window. """
return self._mainWin.HasHeader() | [
"def",
"HasHeader",
"(",
"self",
")",
":",
"return",
"self",
".",
"_mainWin",
".",
"HasHeader",
"(",
")"
] | https://github.com/wxWidgets/wxPython-Classic/blob/19571e1ae65f1ac445f5491474121998c97a1bf0/wx/lib/agw/ultimatelistctrl.py#L11028-L11031 |
|
Xilinx/Vitis-AI | fc74d404563d9951b57245443c73bef389f3657f | tools/Vitis-AI-Quantizer/vai_q_tensorflow1.x/tensorflow/python/ops/math_ops.py | python | scalar_mul | (scalar, x, name=None) | Multiplies a scalar times a `Tensor` or `IndexedSlices` object.
Intended for use in gradient code which might deal with `IndexedSlices`
objects, which are easy to multiply by a scalar but more expensive to
multiply with arbitrary tensors.
Args:
scalar: A 0-D scalar `Tensor`. Must have known shape.
x: A `Tensor` or `IndexedSlices` to be scaled.
name: A name for the operation (optional).
Returns:
`scalar * x` of the same type (`Tensor` or `IndexedSlices`) as `x`.
Raises:
ValueError: if scalar is not a 0-D `scalar`. | Multiplies a scalar times a `Tensor` or `IndexedSlices` object. | [
"Multiplies",
"a",
"scalar",
"times",
"a",
"Tensor",
"or",
"IndexedSlices",
"object",
"."
] | def scalar_mul(scalar, x, name=None):
"""Multiplies a scalar times a `Tensor` or `IndexedSlices` object.
Intended for use in gradient code which might deal with `IndexedSlices`
objects, which are easy to multiply by a scalar but more expensive to
multiply with arbitrary tensors.
Args:
scalar: A 0-D scalar `Tensor`. Must have known shape.
x: A `Tensor` or `IndexedSlices` to be scaled.
name: A name for the operation (optional).
Returns:
`scalar * x` of the same type (`Tensor` or `IndexedSlices`) as `x`.
Raises:
ValueError: if scalar is not a 0-D `scalar`.
"""
scalar = ops.convert_to_tensor(
scalar, dtype=x.dtype.base_dtype, name="scalar")
shape = scalar.get_shape()
if shape.ndims == 0:
if isinstance(x, ops.IndexedSlices):
return ops.IndexedSlices(
gen_math_ops.mul(scalar, x.values, name), x.indices, x.dense_shape)
else:
return gen_math_ops.mul(scalar, x, name)
else:
raise ValueError("Only scalar multiply works, got shape %s" % shape) | [
"def",
"scalar_mul",
"(",
"scalar",
",",
"x",
",",
"name",
"=",
"None",
")",
":",
"scalar",
"=",
"ops",
".",
"convert_to_tensor",
"(",
"scalar",
",",
"dtype",
"=",
"x",
".",
"dtype",
".",
"base_dtype",
",",
"name",
"=",
"\"scalar\"",
")",
"shape",
"=",
"scalar",
".",
"get_shape",
"(",
")",
"if",
"shape",
".",
"ndims",
"==",
"0",
":",
"if",
"isinstance",
"(",
"x",
",",
"ops",
".",
"IndexedSlices",
")",
":",
"return",
"ops",
".",
"IndexedSlices",
"(",
"gen_math_ops",
".",
"mul",
"(",
"scalar",
",",
"x",
".",
"values",
",",
"name",
")",
",",
"x",
".",
"indices",
",",
"x",
".",
"dense_shape",
")",
"else",
":",
"return",
"gen_math_ops",
".",
"mul",
"(",
"scalar",
",",
"x",
",",
"name",
")",
"else",
":",
"raise",
"ValueError",
"(",
"\"Only scalar multiply works, got shape %s\"",
"%",
"shape",
")"
] | https://github.com/Xilinx/Vitis-AI/blob/fc74d404563d9951b57245443c73bef389f3657f/tools/Vitis-AI-Quantizer/vai_q_tensorflow1.x/tensorflow/python/ops/math_ops.py#L396-L424 |
||
9miao/CrossApp | 1f5375e061bf69841eb19728598f5ae3f508d620 | tools/bindings-generator/backup/clang-llvm-3.3-pybinding/cindex.py | python | Type.get_array_size | (self) | return conf.lib.clang_getArraySize(self) | Retrieve the size of the constant array. | Retrieve the size of the constant array. | [
"Retrieve",
"the",
"size",
"of",
"the",
"constant",
"array",
"."
] | def get_array_size(self):
"""
Retrieve the size of the constant array.
"""
return conf.lib.clang_getArraySize(self) | [
"def",
"get_array_size",
"(",
"self",
")",
":",
"return",
"conf",
".",
"lib",
".",
"clang_getArraySize",
"(",
"self",
")"
] | https://github.com/9miao/CrossApp/blob/1f5375e061bf69841eb19728598f5ae3f508d620/tools/bindings-generator/backup/clang-llvm-3.3-pybinding/cindex.py#L1622-L1626 |
|
tensorflow/tensorflow | 419e3a6b650ea4bd1b0cba23c4348f8a69f3272e | tensorflow/lite/python/convert.py | python | convert_graphdef_with_arrays | (input_data, input_arrays_with_shape,
output_arrays, control_output_arrays,
**kwargs) | return data | Convert a frozen GraphDef that can't be loaded in TF.
Conversion can be customized by providing arguments that are forwarded to
`build_model_flags` and `build_conversion_flags` (see documentation).
Args:
input_data: Input data (i.e. often `sess.graph_def`),
input_arrays_with_shape: Tuple of strings representing input tensor names
and list of integers representing input shapes
(e.g., [("foo" : [1, 16, 16, 3])]). Use only when graph cannot be loaded
into TensorFlow and when `input_tensors` is None.
output_arrays: List of output tensors to freeze graph with. Use only when
graph cannot be loaded into TensorFlow and when `output_tensors` is None.
control_output_arrays: Control output node names. This is used when
converting a Graph with no output tensors. For example, if the
graph's last operation is a Print op, just specify that op's name in
this field. This can be used together with the `output_arrays`
parameter.
**kwargs: See `build_model_flags` and `build_conversion_flags`.
Returns:
The converted data. For example if TFLite was the destination, then
this will be a tflite flatbuffer in a bytes array.
Raises:
Defined in `build_conversion_flags`. | Convert a frozen GraphDef that can't be loaded in TF. | [
"Convert",
"a",
"frozen",
"GraphDef",
"that",
"can",
"t",
"be",
"loaded",
"in",
"TF",
"."
] | def convert_graphdef_with_arrays(input_data, input_arrays_with_shape,
output_arrays, control_output_arrays,
**kwargs):
""""Convert a frozen GraphDef that can't be loaded in TF.
Conversion can be customized by providing arguments that are forwarded to
`build_model_flags` and `build_conversion_flags` (see documentation).
Args:
input_data: Input data (i.e. often `sess.graph_def`),
input_arrays_with_shape: Tuple of strings representing input tensor names
and list of integers representing input shapes
(e.g., [("foo" : [1, 16, 16, 3])]). Use only when graph cannot be loaded
into TensorFlow and when `input_tensors` is None.
output_arrays: List of output tensors to freeze graph with. Use only when
graph cannot be loaded into TensorFlow and when `output_tensors` is None.
control_output_arrays: Control output node names. This is used when
converting a Graph with no output tensors. For example, if the
graph's last operation is a Print op, just specify that op's name in
this field. This can be used together with the `output_arrays`
parameter.
**kwargs: See `build_model_flags` and `build_conversion_flags`.
Returns:
The converted data. For example if TFLite was the destination, then
this will be a tflite flatbuffer in a bytes array.
Raises:
Defined in `build_conversion_flags`.
"""
model_flags = build_model_flags(**kwargs)
conversion_flags = build_conversion_flags(**kwargs)
enable_mlir_converter = kwargs.get("enable_mlir_converter", True)
quantized_input_stats = kwargs.get("quantized_input_stats", None)
for idx, (name, shape) in enumerate(input_arrays_with_shape):
input_array = model_flags.input_arrays.add()
if _is_quantized_input_stats_required(conversion_flags):
if quantized_input_stats:
input_array.mean_value, input_array.std_value = (
quantized_input_stats[idx])
else:
raise ValueError(
"The `quantized_input_stats` flag must be defined when either "
"`inference_type` flag or `inference_input_type` flag is set to "
"tf.int8 or tf.uint8.")
input_array.name = name
input_array.shape.dims.extend(list(map(int, shape)))
if output_arrays:
for name in output_arrays:
model_flags.output_arrays.append(name)
if control_output_arrays:
for name in control_output_arrays:
model_flags.control_output_arrays.append(name)
data = convert(
model_flags.SerializeToString(),
conversion_flags.SerializeToString(),
input_data.SerializeToString(),
debug_info_str=None,
enable_mlir_converter=enable_mlir_converter)
return data | [
"def",
"convert_graphdef_with_arrays",
"(",
"input_data",
",",
"input_arrays_with_shape",
",",
"output_arrays",
",",
"control_output_arrays",
",",
"*",
"*",
"kwargs",
")",
":",
"model_flags",
"=",
"build_model_flags",
"(",
"*",
"*",
"kwargs",
")",
"conversion_flags",
"=",
"build_conversion_flags",
"(",
"*",
"*",
"kwargs",
")",
"enable_mlir_converter",
"=",
"kwargs",
".",
"get",
"(",
"\"enable_mlir_converter\"",
",",
"True",
")",
"quantized_input_stats",
"=",
"kwargs",
".",
"get",
"(",
"\"quantized_input_stats\"",
",",
"None",
")",
"for",
"idx",
",",
"(",
"name",
",",
"shape",
")",
"in",
"enumerate",
"(",
"input_arrays_with_shape",
")",
":",
"input_array",
"=",
"model_flags",
".",
"input_arrays",
".",
"add",
"(",
")",
"if",
"_is_quantized_input_stats_required",
"(",
"conversion_flags",
")",
":",
"if",
"quantized_input_stats",
":",
"input_array",
".",
"mean_value",
",",
"input_array",
".",
"std_value",
"=",
"(",
"quantized_input_stats",
"[",
"idx",
"]",
")",
"else",
":",
"raise",
"ValueError",
"(",
"\"The `quantized_input_stats` flag must be defined when either \"",
"\"`inference_type` flag or `inference_input_type` flag is set to \"",
"\"tf.int8 or tf.uint8.\"",
")",
"input_array",
".",
"name",
"=",
"name",
"input_array",
".",
"shape",
".",
"dims",
".",
"extend",
"(",
"list",
"(",
"map",
"(",
"int",
",",
"shape",
")",
")",
")",
"if",
"output_arrays",
":",
"for",
"name",
"in",
"output_arrays",
":",
"model_flags",
".",
"output_arrays",
".",
"append",
"(",
"name",
")",
"if",
"control_output_arrays",
":",
"for",
"name",
"in",
"control_output_arrays",
":",
"model_flags",
".",
"control_output_arrays",
".",
"append",
"(",
"name",
")",
"data",
"=",
"convert",
"(",
"model_flags",
".",
"SerializeToString",
"(",
")",
",",
"conversion_flags",
".",
"SerializeToString",
"(",
")",
",",
"input_data",
".",
"SerializeToString",
"(",
")",
",",
"debug_info_str",
"=",
"None",
",",
"enable_mlir_converter",
"=",
"enable_mlir_converter",
")",
"return",
"data"
] | https://github.com/tensorflow/tensorflow/blob/419e3a6b650ea4bd1b0cba23c4348f8a69f3272e/tensorflow/lite/python/convert.py#L635-L697 |
|
aws/lumberyard | f85344403c1c2e77ec8c75deb2c116e97b713217 | dev/Tools/Python/3.7.10/mac/Python.framework/Versions/3.7/lib/python3.7/site-packages/pip/_internal/index/package_finder.py | python | CandidateEvaluator.__init__ | (
self,
project_name, # type: str
supported_tags, # type: List[Tag]
specifier, # type: specifiers.BaseSpecifier
prefer_binary=False, # type: bool
allow_all_prereleases=False, # type: bool
hashes=None, # type: Optional[Hashes]
) | :param supported_tags: The PEP 425 tags supported by the target
Python in order of preference (most preferred first). | :param supported_tags: The PEP 425 tags supported by the target
Python in order of preference (most preferred first). | [
":",
"param",
"supported_tags",
":",
"The",
"PEP",
"425",
"tags",
"supported",
"by",
"the",
"target",
"Python",
"in",
"order",
"of",
"preference",
"(",
"most",
"preferred",
"first",
")",
"."
] | def __init__(
self,
project_name, # type: str
supported_tags, # type: List[Tag]
specifier, # type: specifiers.BaseSpecifier
prefer_binary=False, # type: bool
allow_all_prereleases=False, # type: bool
hashes=None, # type: Optional[Hashes]
):
# type: (...) -> None
"""
:param supported_tags: The PEP 425 tags supported by the target
Python in order of preference (most preferred first).
"""
self._allow_all_prereleases = allow_all_prereleases
self._hashes = hashes
self._prefer_binary = prefer_binary
self._project_name = project_name
self._specifier = specifier
self._supported_tags = supported_tags | [
"def",
"__init__",
"(",
"self",
",",
"project_name",
",",
"# type: str",
"supported_tags",
",",
"# type: List[Tag]",
"specifier",
",",
"# type: specifiers.BaseSpecifier",
"prefer_binary",
"=",
"False",
",",
"# type: bool",
"allow_all_prereleases",
"=",
"False",
",",
"# type: bool",
"hashes",
"=",
"None",
",",
"# type: Optional[Hashes]",
")",
":",
"# type: (...) -> None",
"self",
".",
"_allow_all_prereleases",
"=",
"allow_all_prereleases",
"self",
".",
"_hashes",
"=",
"hashes",
"self",
".",
"_prefer_binary",
"=",
"prefer_binary",
"self",
".",
"_project_name",
"=",
"project_name",
"self",
".",
"_specifier",
"=",
"specifier",
"self",
".",
"_supported_tags",
"=",
"supported_tags"
] | https://github.com/aws/lumberyard/blob/f85344403c1c2e77ec8c75deb2c116e97b713217/dev/Tools/Python/3.7.10/mac/Python.framework/Versions/3.7/lib/python3.7/site-packages/pip/_internal/index/package_finder.py#L423-L442 |
||
wxWidgets/wxPython-Classic | 19571e1ae65f1ac445f5491474121998c97a1bf0 | src/osx_cocoa/propgrid.py | python | PropertyGridPage.GetStatePtr | (*args) | return _propgrid.PropertyGridPage_GetStatePtr(*args) | GetStatePtr(self)
GetStatePtr(self) | GetStatePtr(self)
GetStatePtr(self) | [
"GetStatePtr",
"(",
"self",
")",
"GetStatePtr",
"(",
"self",
")"
] | def GetStatePtr(*args):
"""
GetStatePtr(self)
GetStatePtr(self)
"""
return _propgrid.PropertyGridPage_GetStatePtr(*args) | [
"def",
"GetStatePtr",
"(",
"*",
"args",
")",
":",
"return",
"_propgrid",
".",
"PropertyGridPage_GetStatePtr",
"(",
"*",
"args",
")"
] | https://github.com/wxWidgets/wxPython-Classic/blob/19571e1ae65f1ac445f5491474121998c97a1bf0/src/osx_cocoa/propgrid.py#L3372-L3377 |
|
hanpfei/chromium-net | 392cc1fa3a8f92f42e4071ab6e674d8e0482f83f | third_party/catapult/telemetry/telemetry/internal/platform/android_device.py | python | FindAllAvailableDevices | (options) | return devices | Returns a list of available devices. | Returns a list of available devices. | [
"Returns",
"a",
"list",
"of",
"available",
"devices",
"."
] | def FindAllAvailableDevices(options):
"""Returns a list of available devices.
"""
# Disable Android device discovery when remote testing a CrOS device
if options.cros_remote:
return []
android_platform_options = options.remote_platform_options
devices = []
try:
if CanDiscoverDevices():
blacklist = None
if android_platform_options.android_blacklist_file:
blacklist = device_blacklist.Blacklist(
android_platform_options.android_blacklist_file)
devices = AndroidDevice.GetAllConnectedDevices(blacklist)
finally:
if not devices and _HasValidAdb():
try:
adb_wrapper.AdbWrapper.KillServer()
except device_errors.NoAdbError as e:
logging.warning(
'adb reported as present, but NoAdbError thrown: %s', str(e))
return devices | [
"def",
"FindAllAvailableDevices",
"(",
"options",
")",
":",
"# Disable Android device discovery when remote testing a CrOS device",
"if",
"options",
".",
"cros_remote",
":",
"return",
"[",
"]",
"android_platform_options",
"=",
"options",
".",
"remote_platform_options",
"devices",
"=",
"[",
"]",
"try",
":",
"if",
"CanDiscoverDevices",
"(",
")",
":",
"blacklist",
"=",
"None",
"if",
"android_platform_options",
".",
"android_blacklist_file",
":",
"blacklist",
"=",
"device_blacklist",
".",
"Blacklist",
"(",
"android_platform_options",
".",
"android_blacklist_file",
")",
"devices",
"=",
"AndroidDevice",
".",
"GetAllConnectedDevices",
"(",
"blacklist",
")",
"finally",
":",
"if",
"not",
"devices",
"and",
"_HasValidAdb",
"(",
")",
":",
"try",
":",
"adb_wrapper",
".",
"AdbWrapper",
".",
"KillServer",
"(",
")",
"except",
"device_errors",
".",
"NoAdbError",
"as",
"e",
":",
"logging",
".",
"warning",
"(",
"'adb reported as present, but NoAdbError thrown: %s'",
",",
"str",
"(",
"e",
")",
")",
"return",
"devices"
] | https://github.com/hanpfei/chromium-net/blob/392cc1fa3a8f92f42e4071ab6e674d8e0482f83f/third_party/catapult/telemetry/telemetry/internal/platform/android_device.py#L164-L188 |
|
baidu/AnyQ | d94d450d2aaa5f7ed73424b10aa4539835b97527 | tools/simnet/train/paddle/layers/paddle_layers.py | python | ReduceMeanLayer.__init__ | (self) | initialize | initialize | [
"initialize"
] | def __init__(self):
"""
initialize
"""
pass | [
"def",
"__init__",
"(",
"self",
")",
":",
"pass"
] | https://github.com/baidu/AnyQ/blob/d94d450d2aaa5f7ed73424b10aa4539835b97527/tools/simnet/train/paddle/layers/paddle_layers.py#L216-L220 |
||
catboost/catboost | 167f64f237114a4d10b2b4ee42adb4569137debe | contrib/python/scikit-learn/py2/sklearn/decomposition/incremental_pca.py | python | IncrementalPCA.fit | (self, X, y=None) | return self | Fit the model with X, using minibatches of size batch_size.
Parameters
----------
X: array-like, shape (n_samples, n_features)
Training data, where n_samples is the number of samples and
n_features is the number of features.
y: Passthrough for ``Pipeline`` compatibility.
Returns
-------
self: object
Returns the instance itself. | Fit the model with X, using minibatches of size batch_size. | [
"Fit",
"the",
"model",
"with",
"X",
"using",
"minibatches",
"of",
"size",
"batch_size",
"."
] | def fit(self, X, y=None):
"""Fit the model with X, using minibatches of size batch_size.
Parameters
----------
X: array-like, shape (n_samples, n_features)
Training data, where n_samples is the number of samples and
n_features is the number of features.
y: Passthrough for ``Pipeline`` compatibility.
Returns
-------
self: object
Returns the instance itself.
"""
self.components_ = None
self.n_samples_seen_ = 0
self.mean_ = .0
self.var_ = .0
self.singular_values_ = None
self.explained_variance_ = None
self.explained_variance_ratio_ = None
self.noise_variance_ = None
X = check_array(X, copy=self.copy, dtype=[np.float64, np.float32])
n_samples, n_features = X.shape
if self.batch_size is None:
self.batch_size_ = 5 * n_features
else:
self.batch_size_ = self.batch_size
for batch in gen_batches(n_samples, self.batch_size_):
self.partial_fit(X[batch], check_input=False)
return self | [
"def",
"fit",
"(",
"self",
",",
"X",
",",
"y",
"=",
"None",
")",
":",
"self",
".",
"components_",
"=",
"None",
"self",
".",
"n_samples_seen_",
"=",
"0",
"self",
".",
"mean_",
"=",
".0",
"self",
".",
"var_",
"=",
".0",
"self",
".",
"singular_values_",
"=",
"None",
"self",
".",
"explained_variance_",
"=",
"None",
"self",
".",
"explained_variance_ratio_",
"=",
"None",
"self",
".",
"noise_variance_",
"=",
"None",
"X",
"=",
"check_array",
"(",
"X",
",",
"copy",
"=",
"self",
".",
"copy",
",",
"dtype",
"=",
"[",
"np",
".",
"float64",
",",
"np",
".",
"float32",
"]",
")",
"n_samples",
",",
"n_features",
"=",
"X",
".",
"shape",
"if",
"self",
".",
"batch_size",
"is",
"None",
":",
"self",
".",
"batch_size_",
"=",
"5",
"*",
"n_features",
"else",
":",
"self",
".",
"batch_size_",
"=",
"self",
".",
"batch_size",
"for",
"batch",
"in",
"gen_batches",
"(",
"n_samples",
",",
"self",
".",
"batch_size_",
")",
":",
"self",
".",
"partial_fit",
"(",
"X",
"[",
"batch",
"]",
",",
"check_input",
"=",
"False",
")",
"return",
"self"
] | https://github.com/catboost/catboost/blob/167f64f237114a4d10b2b4ee42adb4569137debe/contrib/python/scikit-learn/py2/sklearn/decomposition/incremental_pca.py#L146-L182 |
|
catboost/catboost | 167f64f237114a4d10b2b4ee42adb4569137debe | contrib/python/scipy/py2/scipy/io/matlab/mio.py | python | savemat | (file_name, mdict,
appendmat=True,
format='5',
long_field_names=False,
do_compression=False,
oned_as='row') | Save a dictionary of names and arrays into a MATLAB-style .mat file.
This saves the array objects in the given dictionary to a MATLAB-
style .mat file.
Parameters
----------
file_name : str or file-like object
Name of the .mat file (.mat extension not needed if ``appendmat ==
True``).
Can also pass open file_like object.
mdict : dict
Dictionary from which to save matfile variables.
appendmat : bool, optional
True (the default) to append the .mat extension to the end of the
given filename, if not already present.
format : {'5', '4'}, string, optional
'5' (the default) for MATLAB 5 and up (to 7.2),
'4' for MATLAB 4 .mat files.
long_field_names : bool, optional
False (the default) - maximum field name length in a structure is
31 characters which is the documented maximum length.
True - maximum field name length in a structure is 63 characters
which works for MATLAB 7.6+.
do_compression : bool, optional
Whether or not to compress matrices on write. Default is False.
oned_as : {'row', 'column'}, optional
If 'column', write 1-D numpy arrays as column vectors.
If 'row', write 1-D numpy arrays as row vectors.
See also
--------
mio4.MatFile4Writer
mio5.MatFile5Writer | Save a dictionary of names and arrays into a MATLAB-style .mat file. | [
"Save",
"a",
"dictionary",
"of",
"names",
"and",
"arrays",
"into",
"a",
"MATLAB",
"-",
"style",
".",
"mat",
"file",
"."
] | def savemat(file_name, mdict,
appendmat=True,
format='5',
long_field_names=False,
do_compression=False,
oned_as='row'):
"""
Save a dictionary of names and arrays into a MATLAB-style .mat file.
This saves the array objects in the given dictionary to a MATLAB-
style .mat file.
Parameters
----------
file_name : str or file-like object
Name of the .mat file (.mat extension not needed if ``appendmat ==
True``).
Can also pass open file_like object.
mdict : dict
Dictionary from which to save matfile variables.
appendmat : bool, optional
True (the default) to append the .mat extension to the end of the
given filename, if not already present.
format : {'5', '4'}, string, optional
'5' (the default) for MATLAB 5 and up (to 7.2),
'4' for MATLAB 4 .mat files.
long_field_names : bool, optional
False (the default) - maximum field name length in a structure is
31 characters which is the documented maximum length.
True - maximum field name length in a structure is 63 characters
which works for MATLAB 7.6+.
do_compression : bool, optional
Whether or not to compress matrices on write. Default is False.
oned_as : {'row', 'column'}, optional
If 'column', write 1-D numpy arrays as column vectors.
If 'row', write 1-D numpy arrays as row vectors.
See also
--------
mio4.MatFile4Writer
mio5.MatFile5Writer
"""
file_opened = False
if hasattr(file_name, 'write'):
# File-like object already; use as-is
file_stream = file_name
else:
if isinstance(file_name, string_types):
if appendmat and not file_name.endswith('.mat'):
file_name = file_name + ".mat"
file_stream = open(file_name, 'wb')
file_opened = True
if format == '4':
if long_field_names:
raise ValueError("Long field names are not available for version 4 files")
MW = MatFile4Writer(file_stream, oned_as)
elif format == '5':
MW = MatFile5Writer(file_stream,
do_compression=do_compression,
unicode_strings=True,
long_field_names=long_field_names,
oned_as=oned_as)
else:
raise ValueError("Format should be '4' or '5'")
MW.put_variables(mdict)
if file_opened:
file_stream.close() | [
"def",
"savemat",
"(",
"file_name",
",",
"mdict",
",",
"appendmat",
"=",
"True",
",",
"format",
"=",
"'5'",
",",
"long_field_names",
"=",
"False",
",",
"do_compression",
"=",
"False",
",",
"oned_as",
"=",
"'row'",
")",
":",
"file_opened",
"=",
"False",
"if",
"hasattr",
"(",
"file_name",
",",
"'write'",
")",
":",
"# File-like object already; use as-is",
"file_stream",
"=",
"file_name",
"else",
":",
"if",
"isinstance",
"(",
"file_name",
",",
"string_types",
")",
":",
"if",
"appendmat",
"and",
"not",
"file_name",
".",
"endswith",
"(",
"'.mat'",
")",
":",
"file_name",
"=",
"file_name",
"+",
"\".mat\"",
"file_stream",
"=",
"open",
"(",
"file_name",
",",
"'wb'",
")",
"file_opened",
"=",
"True",
"if",
"format",
"==",
"'4'",
":",
"if",
"long_field_names",
":",
"raise",
"ValueError",
"(",
"\"Long field names are not available for version 4 files\"",
")",
"MW",
"=",
"MatFile4Writer",
"(",
"file_stream",
",",
"oned_as",
")",
"elif",
"format",
"==",
"'5'",
":",
"MW",
"=",
"MatFile5Writer",
"(",
"file_stream",
",",
"do_compression",
"=",
"do_compression",
",",
"unicode_strings",
"=",
"True",
",",
"long_field_names",
"=",
"long_field_names",
",",
"oned_as",
"=",
"oned_as",
")",
"else",
":",
"raise",
"ValueError",
"(",
"\"Format should be '4' or '5'\"",
")",
"MW",
".",
"put_variables",
"(",
"mdict",
")",
"if",
"file_opened",
":",
"file_stream",
".",
"close",
"(",
")"
] | https://github.com/catboost/catboost/blob/167f64f237114a4d10b2b4ee42adb4569137debe/contrib/python/scipy/py2/scipy/io/matlab/mio.py#L219-L287 |
||
aws/lumberyard | f85344403c1c2e77ec8c75deb2c116e97b713217 | dev/Tools/Python/3.7.10/mac/Python.framework/Versions/3.7/lib/python3.7/idlelib/configdialog.py | python | ConfigDialog.create_action_buttons | (self) | return outer | Return frame of action buttons for dialog.
Methods:
ok
apply
cancel
help
Widget Structure:
outer: Frame
buttons: Frame
(no assignment): Button (ok)
(no assignment): Button (apply)
(no assignment): Button (cancel)
(no assignment): Button (help)
(no assignment): Frame | Return frame of action buttons for dialog. | [
"Return",
"frame",
"of",
"action",
"buttons",
"for",
"dialog",
"."
] | def create_action_buttons(self):
"""Return frame of action buttons for dialog.
Methods:
ok
apply
cancel
help
Widget Structure:
outer: Frame
buttons: Frame
(no assignment): Button (ok)
(no assignment): Button (apply)
(no assignment): Button (cancel)
(no assignment): Button (help)
(no assignment): Frame
"""
if macosx.isAquaTk():
# Changing the default padding on OSX results in unreadable
# text in the buttons.
padding_args = {}
else:
padding_args = {'padding': (6, 3)}
outer = Frame(self, padding=2)
buttons_frame = Frame(outer, padding=2)
self.buttons = {}
for txt, cmd in (
('Ok', self.ok),
('Apply', self.apply),
('Cancel', self.cancel),
('Help', self.help)):
self.buttons[txt] = Button(buttons_frame, text=txt, command=cmd,
takefocus=FALSE, **padding_args)
self.buttons[txt].pack(side=LEFT, padx=5)
# Add space above buttons.
Frame(outer, height=2, borderwidth=0).pack(side=TOP)
buttons_frame.pack(side=BOTTOM)
return outer | [
"def",
"create_action_buttons",
"(",
"self",
")",
":",
"if",
"macosx",
".",
"isAquaTk",
"(",
")",
":",
"# Changing the default padding on OSX results in unreadable",
"# text in the buttons.",
"padding_args",
"=",
"{",
"}",
"else",
":",
"padding_args",
"=",
"{",
"'padding'",
":",
"(",
"6",
",",
"3",
")",
"}",
"outer",
"=",
"Frame",
"(",
"self",
",",
"padding",
"=",
"2",
")",
"buttons_frame",
"=",
"Frame",
"(",
"outer",
",",
"padding",
"=",
"2",
")",
"self",
".",
"buttons",
"=",
"{",
"}",
"for",
"txt",
",",
"cmd",
"in",
"(",
"(",
"'Ok'",
",",
"self",
".",
"ok",
")",
",",
"(",
"'Apply'",
",",
"self",
".",
"apply",
")",
",",
"(",
"'Cancel'",
",",
"self",
".",
"cancel",
")",
",",
"(",
"'Help'",
",",
"self",
".",
"help",
")",
")",
":",
"self",
".",
"buttons",
"[",
"txt",
"]",
"=",
"Button",
"(",
"buttons_frame",
",",
"text",
"=",
"txt",
",",
"command",
"=",
"cmd",
",",
"takefocus",
"=",
"FALSE",
",",
"*",
"*",
"padding_args",
")",
"self",
".",
"buttons",
"[",
"txt",
"]",
".",
"pack",
"(",
"side",
"=",
"LEFT",
",",
"padx",
"=",
"5",
")",
"# Add space above buttons.",
"Frame",
"(",
"outer",
",",
"height",
"=",
"2",
",",
"borderwidth",
"=",
"0",
")",
".",
"pack",
"(",
"side",
"=",
"TOP",
")",
"buttons_frame",
".",
"pack",
"(",
"side",
"=",
"BOTTOM",
")",
"return",
"outer"
] | https://github.com/aws/lumberyard/blob/f85344403c1c2e77ec8c75deb2c116e97b713217/dev/Tools/Python/3.7.10/mac/Python.framework/Versions/3.7/lib/python3.7/idlelib/configdialog.py#L127-L165 |
|
google/earthenterprise | 0fe84e29be470cd857e3a0e52e5d0afd5bb8cee9 | earth_enterprise/src/fusion/portableglobe/servers/search_services/ge_base_search.py | python | GEBaseSearch.JsonStart | (self, handler, cb, datastoreName, search_term) | Writes initial header for json results. | Writes initial header for json results. | [
"Writes",
"initial",
"header",
"for",
"json",
"results",
"."
] | def JsonStart(self, handler, cb, datastoreName, search_term):
"""Writes initial header for json results."""
handler.write(self.json_start_template_ % (cb, datastoreName, search_term)) | [
"def",
"JsonStart",
"(",
"self",
",",
"handler",
",",
"cb",
",",
"datastoreName",
",",
"search_term",
")",
":",
"handler",
".",
"write",
"(",
"self",
".",
"json_start_template_",
"%",
"(",
"cb",
",",
"datastoreName",
",",
"search_term",
")",
")"
] | https://github.com/google/earthenterprise/blob/0fe84e29be470cd857e3a0e52e5d0afd5bb8cee9/earth_enterprise/src/fusion/portableglobe/servers/search_services/ge_base_search.py#L131-L133 |
||
catboost/catboost | 167f64f237114a4d10b2b4ee42adb4569137debe | contrib/tools/python3/src/Lib/turtle.py | python | RawTurtle._undo | (self, action, data) | Does the main part of the work for undo() | Does the main part of the work for undo() | [
"Does",
"the",
"main",
"part",
"of",
"the",
"work",
"for",
"undo",
"()"
] | def _undo(self, action, data):
"""Does the main part of the work for undo()
"""
if self.undobuffer is None:
return
if action == "rot":
angle, degPAU = data
self._rotate(-angle*degPAU/self._degreesPerAU)
dummy = self.undobuffer.pop()
elif action == "stamp":
stitem = data[0]
self.clearstamp(stitem)
elif action == "go":
self._undogoto(data)
elif action in ["wri", "dot"]:
item = data[0]
self.screen._delete(item)
self.items.remove(item)
elif action == "dofill":
item = data[0]
self.screen._drawpoly(item, ((0, 0),(0, 0),(0, 0)),
fill="", outline="")
elif action == "beginfill":
item = data[0]
self._fillitem = self._fillpath = None
if item in self.items:
self.screen._delete(item)
self.items.remove(item)
elif action == "pen":
TPen.pen(self, data[0])
self.undobuffer.pop() | [
"def",
"_undo",
"(",
"self",
",",
"action",
",",
"data",
")",
":",
"if",
"self",
".",
"undobuffer",
"is",
"None",
":",
"return",
"if",
"action",
"==",
"\"rot\"",
":",
"angle",
",",
"degPAU",
"=",
"data",
"self",
".",
"_rotate",
"(",
"-",
"angle",
"*",
"degPAU",
"/",
"self",
".",
"_degreesPerAU",
")",
"dummy",
"=",
"self",
".",
"undobuffer",
".",
"pop",
"(",
")",
"elif",
"action",
"==",
"\"stamp\"",
":",
"stitem",
"=",
"data",
"[",
"0",
"]",
"self",
".",
"clearstamp",
"(",
"stitem",
")",
"elif",
"action",
"==",
"\"go\"",
":",
"self",
".",
"_undogoto",
"(",
"data",
")",
"elif",
"action",
"in",
"[",
"\"wri\"",
",",
"\"dot\"",
"]",
":",
"item",
"=",
"data",
"[",
"0",
"]",
"self",
".",
"screen",
".",
"_delete",
"(",
"item",
")",
"self",
".",
"items",
".",
"remove",
"(",
"item",
")",
"elif",
"action",
"==",
"\"dofill\"",
":",
"item",
"=",
"data",
"[",
"0",
"]",
"self",
".",
"screen",
".",
"_drawpoly",
"(",
"item",
",",
"(",
"(",
"0",
",",
"0",
")",
",",
"(",
"0",
",",
"0",
")",
",",
"(",
"0",
",",
"0",
")",
")",
",",
"fill",
"=",
"\"\"",
",",
"outline",
"=",
"\"\"",
")",
"elif",
"action",
"==",
"\"beginfill\"",
":",
"item",
"=",
"data",
"[",
"0",
"]",
"self",
".",
"_fillitem",
"=",
"self",
".",
"_fillpath",
"=",
"None",
"if",
"item",
"in",
"self",
".",
"items",
":",
"self",
".",
"screen",
".",
"_delete",
"(",
"item",
")",
"self",
".",
"items",
".",
"remove",
"(",
"item",
")",
"elif",
"action",
"==",
"\"pen\"",
":",
"TPen",
".",
"pen",
"(",
"self",
",",
"data",
"[",
"0",
"]",
")",
"self",
".",
"undobuffer",
".",
"pop",
"(",
")"
] | https://github.com/catboost/catboost/blob/167f64f237114a4d10b2b4ee42adb4569137debe/contrib/tools/python3/src/Lib/turtle.py#L3592-L3622 |
||
mantidproject/mantid | 03deeb89254ec4289edb8771e0188c2090a02f32 | qt/python/mantidqtinterfaces/mantidqtinterfaces/Muon/GUI/Common/fitting_widgets/general_fitting/general_fitting_view.py | python | GeneralFittingView.switch_to_simultaneous | (self) | Switches the view to simultaneous fit mode. | Switches the view to simultaneous fit mode. | [
"Switches",
"the",
"view",
"to",
"simultaneous",
"fit",
"mode",
"."
] | def switch_to_simultaneous(self) -> None:
"""Switches the view to simultaneous fit mode."""
super().switch_to_simultaneous()
self.set_workspace_combo_box_label(SIMULTANEOUS_FIT_LABEL)
self.general_fitting_options.enable_simultaneous_fit_options() | [
"def",
"switch_to_simultaneous",
"(",
"self",
")",
"->",
"None",
":",
"super",
"(",
")",
".",
"switch_to_simultaneous",
"(",
")",
"self",
".",
"set_workspace_combo_box_label",
"(",
"SIMULTANEOUS_FIT_LABEL",
")",
"self",
".",
"general_fitting_options",
".",
"enable_simultaneous_fit_options",
"(",
")"
] | https://github.com/mantidproject/mantid/blob/03deeb89254ec4289edb8771e0188c2090a02f32/qt/python/mantidqtinterfaces/mantidqtinterfaces/Muon/GUI/Common/fitting_widgets/general_fitting/general_fitting_view.py#L70-L74 |
||
openvinotoolkit/openvino | dedcbeafa8b84cccdc55ca64b8da516682b381c7 | tools/mo/openvino/tools/mo/ops/loop.py | python | Loop.updated_loop_output_ports_shape_and_value | (loop_node: Node) | Update shape and values for Loop output ports. If the number of iterations is dynamic then the corresponding
dimension for the scan outputs (having "axis" attribute) are set to 1 because MO cannot generate IR with
undefined dimensions.
:param loop_node: The Loop node
:return: None | Update shape and values for Loop output ports. If the number of iterations is dynamic then the corresponding
dimension for the scan outputs (having "axis" attribute) are set to 1 because MO cannot generate IR with
undefined dimensions. | [
"Update",
"shape",
"and",
"values",
"for",
"Loop",
"output",
"ports",
".",
"If",
"the",
"number",
"of",
"iterations",
"is",
"dynamic",
"then",
"the",
"corresponding",
"dimension",
"for",
"the",
"scan",
"outputs",
"(",
"having",
"axis",
"attribute",
")",
"are",
"set",
"to",
"1",
"because",
"MO",
"cannot",
"generate",
"IR",
"with",
"undefined",
"dimensions",
"."
] | def updated_loop_output_ports_shape_and_value(loop_node: Node):
"""
Update shape and values for Loop output ports. If the number of iterations is dynamic then the corresponding
dimension for the scan outputs (having "axis" attribute) are set to 1 because MO cannot generate IR with
undefined dimensions.
:param loop_node: The Loop node
:return: None
"""
loop_name = loop_node.soft_get('name', loop_node.id)
for record in loop_node.output_port_map:
body_node = Loop.get_body_node_by_internal_id(loop_node, record['internal_layer_id'])
assert body_node is not None
assert body_node.soft_get('type') == 'Result'
loop_port_idx = record['external_port_id']
if loop_port_idx != -1: # the id = -1 for execution condition output which is not connected anywhere
output_value = body_node.in_port(0).data.get_value()
output_shape = body_node.in_port(0).data.get_shape().copy()
concat_axis = record['axis']
if concat_axis is not None:
assert output_shape[concat_axis] == 1, 'Dimension for concatenation is not equal to 1 for scan ' \
'output for Loop node "{}" for loop output port "{}"'.\
format(loop_name, loop_port_idx)
output_shape[concat_axis] = Loop.iterations_count(loop_node)
# MO does not support evaluation of Loop scan outputs with const values
if concat_axis is None and output_value is not None:
loop_node.out_port(loop_port_idx).data.set_value(output_value)
else:
loop_node.out_port(loop_port_idx).data.set_shape(output_shape) | [
"def",
"updated_loop_output_ports_shape_and_value",
"(",
"loop_node",
":",
"Node",
")",
":",
"loop_name",
"=",
"loop_node",
".",
"soft_get",
"(",
"'name'",
",",
"loop_node",
".",
"id",
")",
"for",
"record",
"in",
"loop_node",
".",
"output_port_map",
":",
"body_node",
"=",
"Loop",
".",
"get_body_node_by_internal_id",
"(",
"loop_node",
",",
"record",
"[",
"'internal_layer_id'",
"]",
")",
"assert",
"body_node",
"is",
"not",
"None",
"assert",
"body_node",
".",
"soft_get",
"(",
"'type'",
")",
"==",
"'Result'",
"loop_port_idx",
"=",
"record",
"[",
"'external_port_id'",
"]",
"if",
"loop_port_idx",
"!=",
"-",
"1",
":",
"# the id = -1 for execution condition output which is not connected anywhere",
"output_value",
"=",
"body_node",
".",
"in_port",
"(",
"0",
")",
".",
"data",
".",
"get_value",
"(",
")",
"output_shape",
"=",
"body_node",
".",
"in_port",
"(",
"0",
")",
".",
"data",
".",
"get_shape",
"(",
")",
".",
"copy",
"(",
")",
"concat_axis",
"=",
"record",
"[",
"'axis'",
"]",
"if",
"concat_axis",
"is",
"not",
"None",
":",
"assert",
"output_shape",
"[",
"concat_axis",
"]",
"==",
"1",
",",
"'Dimension for concatenation is not equal to 1 for scan '",
"'output for Loop node \"{}\" for loop output port \"{}\"'",
".",
"format",
"(",
"loop_name",
",",
"loop_port_idx",
")",
"output_shape",
"[",
"concat_axis",
"]",
"=",
"Loop",
".",
"iterations_count",
"(",
"loop_node",
")",
"# MO does not support evaluation of Loop scan outputs with const values",
"if",
"concat_axis",
"is",
"None",
"and",
"output_value",
"is",
"not",
"None",
":",
"loop_node",
".",
"out_port",
"(",
"loop_port_idx",
")",
".",
"data",
".",
"set_value",
"(",
"output_value",
")",
"else",
":",
"loop_node",
".",
"out_port",
"(",
"loop_port_idx",
")",
".",
"data",
".",
"set_shape",
"(",
"output_shape",
")"
] | https://github.com/openvinotoolkit/openvino/blob/dedcbeafa8b84cccdc55ca64b8da516682b381c7/tools/mo/openvino/tools/mo/ops/loop.py#L114-L143 |
||
mantidproject/mantid | 03deeb89254ec4289edb8771e0188c2090a02f32 | Framework/PythonInterface/plugins/algorithms/LRPeakSelection.py | python | PeakFinderDerivation.initArrays | (self) | Initialize internal data members | Initialize internal data members | [
"Initialize",
"internal",
"data",
"members"
] | def initArrays(self):
"""
Initialize internal data members
"""
self.xdata_firstderi = []
self.ydata_firstderi = []
self.peak = [-1, -1]
self.low_res = [-1, -1]
self.five_highest_ydata = []
self.five_highest_xdata = []
self.sum_five_highest_ydata = -1
self.peak_pixel = -1
self.deri_min = 1
self.deri_max = -1
self.deri_min_pixel_value = -1
self.deri_max_pixel_value = -1
self.mean_counts_firstderi = -1
self.std_deviation_counts_firstderi = -1
self.peak_max_final_value = -1
self.peak_min_final_value = -1 | [
"def",
"initArrays",
"(",
"self",
")",
":",
"self",
".",
"xdata_firstderi",
"=",
"[",
"]",
"self",
".",
"ydata_firstderi",
"=",
"[",
"]",
"self",
".",
"peak",
"=",
"[",
"-",
"1",
",",
"-",
"1",
"]",
"self",
".",
"low_res",
"=",
"[",
"-",
"1",
",",
"-",
"1",
"]",
"self",
".",
"five_highest_ydata",
"=",
"[",
"]",
"self",
".",
"five_highest_xdata",
"=",
"[",
"]",
"self",
".",
"sum_five_highest_ydata",
"=",
"-",
"1",
"self",
".",
"peak_pixel",
"=",
"-",
"1",
"self",
".",
"deri_min",
"=",
"1",
"self",
".",
"deri_max",
"=",
"-",
"1",
"self",
".",
"deri_min_pixel_value",
"=",
"-",
"1",
"self",
".",
"deri_max_pixel_value",
"=",
"-",
"1",
"self",
".",
"mean_counts_firstderi",
"=",
"-",
"1",
"self",
".",
"std_deviation_counts_firstderi",
"=",
"-",
"1",
"self",
".",
"peak_max_final_value",
"=",
"-",
"1",
"self",
".",
"peak_min_final_value",
"=",
"-",
"1"
] | https://github.com/mantidproject/mantid/blob/03deeb89254ec4289edb8771e0188c2090a02f32/Framework/PythonInterface/plugins/algorithms/LRPeakSelection.py#L57-L76 |
||
forkineye/ESPixelStick | 22926f1c0d1131f1369fc7cad405689a095ae3cb | dist/bin/pyserial/serial/serialutil.py | python | SerialBase.write_timeout | (self, timeout) | Change timeout setting. | Change timeout setting. | [
"Change",
"timeout",
"setting",
"."
] | def write_timeout(self, timeout):
"""Change timeout setting."""
if timeout is not None:
if timeout < 0:
raise ValueError("Not a valid timeout: {!r}".format(timeout))
try:
timeout + 1 # test if it's a number, will throw a TypeError if not...
except TypeError:
raise ValueError("Not a valid timeout: {!r}".format(timeout))
self._write_timeout = timeout
if self.is_open:
self._reconfigure_port() | [
"def",
"write_timeout",
"(",
"self",
",",
"timeout",
")",
":",
"if",
"timeout",
"is",
"not",
"None",
":",
"if",
"timeout",
"<",
"0",
":",
"raise",
"ValueError",
"(",
"\"Not a valid timeout: {!r}\"",
".",
"format",
"(",
"timeout",
")",
")",
"try",
":",
"timeout",
"+",
"1",
"# test if it's a number, will throw a TypeError if not...",
"except",
"TypeError",
":",
"raise",
"ValueError",
"(",
"\"Not a valid timeout: {!r}\"",
".",
"format",
"(",
"timeout",
")",
")",
"self",
".",
"_write_timeout",
"=",
"timeout",
"if",
"self",
".",
"is_open",
":",
"self",
".",
"_reconfigure_port",
"(",
")"
] | https://github.com/forkineye/ESPixelStick/blob/22926f1c0d1131f1369fc7cad405689a095ae3cb/dist/bin/pyserial/serial/serialutil.py#L376-L388 |
||
catboost/catboost | 167f64f237114a4d10b2b4ee42adb4569137debe | contrib/python/scipy/py2/scipy/special/basic.py | python | yvp | (v, z, n=1) | Compute nth derivative of Bessel function Yv(z) with respect to `z`.
Parameters
----------
v : float
Order of Bessel function
z : complex
Argument at which to evaluate the derivative
n : int, default 1
Order of derivative
Notes
-----
The derivative is computed using the relation DLFM 10.6.7 [2]_.
References
----------
.. [1] Zhang, Shanjie and Jin, Jianming. "Computation of Special
Functions", John Wiley and Sons, 1996, chapter 5.
https://people.sc.fsu.edu/~jburkardt/f_src/special_functions/special_functions.html
.. [2] NIST Digital Library of Mathematical Functions.
https://dlmf.nist.gov/10.6.E7 | Compute nth derivative of Bessel function Yv(z) with respect to `z`. | [
"Compute",
"nth",
"derivative",
"of",
"Bessel",
"function",
"Yv",
"(",
"z",
")",
"with",
"respect",
"to",
"z",
"."
] | def yvp(v, z, n=1):
"""Compute nth derivative of Bessel function Yv(z) with respect to `z`.
Parameters
----------
v : float
Order of Bessel function
z : complex
Argument at which to evaluate the derivative
n : int, default 1
Order of derivative
Notes
-----
The derivative is computed using the relation DLFM 10.6.7 [2]_.
References
----------
.. [1] Zhang, Shanjie and Jin, Jianming. "Computation of Special
Functions", John Wiley and Sons, 1996, chapter 5.
https://people.sc.fsu.edu/~jburkardt/f_src/special_functions/special_functions.html
.. [2] NIST Digital Library of Mathematical Functions.
https://dlmf.nist.gov/10.6.E7
"""
n = _nonneg_int_or_fail(n, 'n')
if n == 0:
return yv(v, z)
else:
return _bessel_diff_formula(v, z, n, yv, -1) | [
"def",
"yvp",
"(",
"v",
",",
"z",
",",
"n",
"=",
"1",
")",
":",
"n",
"=",
"_nonneg_int_or_fail",
"(",
"n",
",",
"'n'",
")",
"if",
"n",
"==",
"0",
":",
"return",
"yv",
"(",
"v",
",",
"z",
")",
"else",
":",
"return",
"_bessel_diff_formula",
"(",
"v",
",",
"z",
",",
"n",
",",
"yv",
",",
"-",
"1",
")"
] | https://github.com/catboost/catboost/blob/167f64f237114a4d10b2b4ee42adb4569137debe/contrib/python/scipy/py2/scipy/special/basic.py#L468-L497 |
||
catboost/catboost | 167f64f237114a4d10b2b4ee42adb4569137debe | contrib/python/scipy/py3/scipy/stats/stats.py | python | _square_of_sums | (a, axis=0) | Sum elements of the input array, and return the square(s) of that sum.
Parameters
----------
a : array_like
Input array.
axis : int or None, optional
Axis along which to calculate. Default is 0. If None, compute over
the whole array `a`.
Returns
-------
square_of_sums : float or ndarray
The square of the sum over `axis`.
See also
--------
_sum_of_squares : The sum of squares (the opposite of `square_of_sums`). | Sum elements of the input array, and return the square(s) of that sum. | [
"Sum",
"elements",
"of",
"the",
"input",
"array",
"and",
"return",
"the",
"square",
"(",
"s",
")",
"of",
"that",
"sum",
"."
] | def _square_of_sums(a, axis=0):
"""
Sum elements of the input array, and return the square(s) of that sum.
Parameters
----------
a : array_like
Input array.
axis : int or None, optional
Axis along which to calculate. Default is 0. If None, compute over
the whole array `a`.
Returns
-------
square_of_sums : float or ndarray
The square of the sum over `axis`.
See also
--------
_sum_of_squares : The sum of squares (the opposite of `square_of_sums`).
"""
a, axis = _chk_asarray(a, axis)
s = np.sum(a, axis)
if not np.isscalar(s):
return s.astype(float) * s
else:
return float(s) * s | [
"def",
"_square_of_sums",
"(",
"a",
",",
"axis",
"=",
"0",
")",
":",
"a",
",",
"axis",
"=",
"_chk_asarray",
"(",
"a",
",",
"axis",
")",
"s",
"=",
"np",
".",
"sum",
"(",
"a",
",",
"axis",
")",
"if",
"not",
"np",
".",
"isscalar",
"(",
"s",
")",
":",
"return",
"s",
".",
"astype",
"(",
"float",
")",
"*",
"s",
"else",
":",
"return",
"float",
"(",
"s",
")",
"*",
"s"
] | https://github.com/catboost/catboost/blob/167f64f237114a4d10b2b4ee42adb4569137debe/contrib/python/scipy/py3/scipy/stats/stats.py#L5873-L5899 |
||
aws/lumberyard | f85344403c1c2e77ec8c75deb2c116e97b713217 | dev/Gems/CloudGemDefectReporter/v1/AWS/common-code/Lib/pkg_resources/_vendor/pyparsing.py | python | ParserElement.__mul__ | (self,other) | return ret | Implementation of * operator, allows use of C{expr * 3} in place of
C{expr + expr + expr}. Expressions may also me multiplied by a 2-integer
tuple, similar to C{{min,max}} multipliers in regular expressions. Tuples
may also include C{None} as in:
- C{expr*(n,None)} or C{expr*(n,)} is equivalent
to C{expr*n + L{ZeroOrMore}(expr)}
(read as "at least n instances of C{expr}")
- C{expr*(None,n)} is equivalent to C{expr*(0,n)}
(read as "0 to n instances of C{expr}")
- C{expr*(None,None)} is equivalent to C{L{ZeroOrMore}(expr)}
- C{expr*(1,None)} is equivalent to C{L{OneOrMore}(expr)}
Note that C{expr*(None,n)} does not raise an exception if
more than n exprs exist in the input stream; that is,
C{expr*(None,n)} does not enforce a maximum number of expr
occurrences. If this behavior is desired, then write
C{expr*(None,n) + ~expr} | Implementation of * operator, allows use of C{expr * 3} in place of
C{expr + expr + expr}. Expressions may also me multiplied by a 2-integer
tuple, similar to C{{min,max}} multipliers in regular expressions. Tuples
may also include C{None} as in:
- C{expr*(n,None)} or C{expr*(n,)} is equivalent
to C{expr*n + L{ZeroOrMore}(expr)}
(read as "at least n instances of C{expr}")
- C{expr*(None,n)} is equivalent to C{expr*(0,n)}
(read as "0 to n instances of C{expr}")
- C{expr*(None,None)} is equivalent to C{L{ZeroOrMore}(expr)}
- C{expr*(1,None)} is equivalent to C{L{OneOrMore}(expr)} | [
"Implementation",
"of",
"*",
"operator",
"allows",
"use",
"of",
"C",
"{",
"expr",
"*",
"3",
"}",
"in",
"place",
"of",
"C",
"{",
"expr",
"+",
"expr",
"+",
"expr",
"}",
".",
"Expressions",
"may",
"also",
"me",
"multiplied",
"by",
"a",
"2",
"-",
"integer",
"tuple",
"similar",
"to",
"C",
"{{",
"min",
"max",
"}}",
"multipliers",
"in",
"regular",
"expressions",
".",
"Tuples",
"may",
"also",
"include",
"C",
"{",
"None",
"}",
"as",
"in",
":",
"-",
"C",
"{",
"expr",
"*",
"(",
"n",
"None",
")",
"}",
"or",
"C",
"{",
"expr",
"*",
"(",
"n",
")",
"}",
"is",
"equivalent",
"to",
"C",
"{",
"expr",
"*",
"n",
"+",
"L",
"{",
"ZeroOrMore",
"}",
"(",
"expr",
")",
"}",
"(",
"read",
"as",
"at",
"least",
"n",
"instances",
"of",
"C",
"{",
"expr",
"}",
")",
"-",
"C",
"{",
"expr",
"*",
"(",
"None",
"n",
")",
"}",
"is",
"equivalent",
"to",
"C",
"{",
"expr",
"*",
"(",
"0",
"n",
")",
"}",
"(",
"read",
"as",
"0",
"to",
"n",
"instances",
"of",
"C",
"{",
"expr",
"}",
")",
"-",
"C",
"{",
"expr",
"*",
"(",
"None",
"None",
")",
"}",
"is",
"equivalent",
"to",
"C",
"{",
"L",
"{",
"ZeroOrMore",
"}",
"(",
"expr",
")",
"}",
"-",
"C",
"{",
"expr",
"*",
"(",
"1",
"None",
")",
"}",
"is",
"equivalent",
"to",
"C",
"{",
"L",
"{",
"OneOrMore",
"}",
"(",
"expr",
")",
"}"
] | def __mul__(self,other):
"""
Implementation of * operator, allows use of C{expr * 3} in place of
C{expr + expr + expr}. Expressions may also me multiplied by a 2-integer
tuple, similar to C{{min,max}} multipliers in regular expressions. Tuples
may also include C{None} as in:
- C{expr*(n,None)} or C{expr*(n,)} is equivalent
to C{expr*n + L{ZeroOrMore}(expr)}
(read as "at least n instances of C{expr}")
- C{expr*(None,n)} is equivalent to C{expr*(0,n)}
(read as "0 to n instances of C{expr}")
- C{expr*(None,None)} is equivalent to C{L{ZeroOrMore}(expr)}
- C{expr*(1,None)} is equivalent to C{L{OneOrMore}(expr)}
Note that C{expr*(None,n)} does not raise an exception if
more than n exprs exist in the input stream; that is,
C{expr*(None,n)} does not enforce a maximum number of expr
occurrences. If this behavior is desired, then write
C{expr*(None,n) + ~expr}
"""
if isinstance(other,int):
minElements, optElements = other,0
elif isinstance(other,tuple):
other = (other + (None, None))[:2]
if other[0] is None:
other = (0, other[1])
if isinstance(other[0],int) and other[1] is None:
if other[0] == 0:
return ZeroOrMore(self)
if other[0] == 1:
return OneOrMore(self)
else:
return self*other[0] + ZeroOrMore(self)
elif isinstance(other[0],int) and isinstance(other[1],int):
minElements, optElements = other
optElements -= minElements
else:
raise TypeError("cannot multiply 'ParserElement' and ('%s','%s') objects", type(other[0]),type(other[1]))
else:
raise TypeError("cannot multiply 'ParserElement' and '%s' objects", type(other))
if minElements < 0:
raise ValueError("cannot multiply ParserElement by negative value")
if optElements < 0:
raise ValueError("second tuple value must be greater or equal to first tuple value")
if minElements == optElements == 0:
raise ValueError("cannot multiply ParserElement by 0 or (0,0)")
if (optElements):
def makeOptionalList(n):
if n>1:
return Optional(self + makeOptionalList(n-1))
else:
return Optional(self)
if minElements:
if minElements == 1:
ret = self + makeOptionalList(optElements)
else:
ret = And([self]*minElements) + makeOptionalList(optElements)
else:
ret = makeOptionalList(optElements)
else:
if minElements == 1:
ret = self
else:
ret = And([self]*minElements)
return ret | [
"def",
"__mul__",
"(",
"self",
",",
"other",
")",
":",
"if",
"isinstance",
"(",
"other",
",",
"int",
")",
":",
"minElements",
",",
"optElements",
"=",
"other",
",",
"0",
"elif",
"isinstance",
"(",
"other",
",",
"tuple",
")",
":",
"other",
"=",
"(",
"other",
"+",
"(",
"None",
",",
"None",
")",
")",
"[",
":",
"2",
"]",
"if",
"other",
"[",
"0",
"]",
"is",
"None",
":",
"other",
"=",
"(",
"0",
",",
"other",
"[",
"1",
"]",
")",
"if",
"isinstance",
"(",
"other",
"[",
"0",
"]",
",",
"int",
")",
"and",
"other",
"[",
"1",
"]",
"is",
"None",
":",
"if",
"other",
"[",
"0",
"]",
"==",
"0",
":",
"return",
"ZeroOrMore",
"(",
"self",
")",
"if",
"other",
"[",
"0",
"]",
"==",
"1",
":",
"return",
"OneOrMore",
"(",
"self",
")",
"else",
":",
"return",
"self",
"*",
"other",
"[",
"0",
"]",
"+",
"ZeroOrMore",
"(",
"self",
")",
"elif",
"isinstance",
"(",
"other",
"[",
"0",
"]",
",",
"int",
")",
"and",
"isinstance",
"(",
"other",
"[",
"1",
"]",
",",
"int",
")",
":",
"minElements",
",",
"optElements",
"=",
"other",
"optElements",
"-=",
"minElements",
"else",
":",
"raise",
"TypeError",
"(",
"\"cannot multiply 'ParserElement' and ('%s','%s') objects\"",
",",
"type",
"(",
"other",
"[",
"0",
"]",
")",
",",
"type",
"(",
"other",
"[",
"1",
"]",
")",
")",
"else",
":",
"raise",
"TypeError",
"(",
"\"cannot multiply 'ParserElement' and '%s' objects\"",
",",
"type",
"(",
"other",
")",
")",
"if",
"minElements",
"<",
"0",
":",
"raise",
"ValueError",
"(",
"\"cannot multiply ParserElement by negative value\"",
")",
"if",
"optElements",
"<",
"0",
":",
"raise",
"ValueError",
"(",
"\"second tuple value must be greater or equal to first tuple value\"",
")",
"if",
"minElements",
"==",
"optElements",
"==",
"0",
":",
"raise",
"ValueError",
"(",
"\"cannot multiply ParserElement by 0 or (0,0)\"",
")",
"if",
"(",
"optElements",
")",
":",
"def",
"makeOptionalList",
"(",
"n",
")",
":",
"if",
"n",
">",
"1",
":",
"return",
"Optional",
"(",
"self",
"+",
"makeOptionalList",
"(",
"n",
"-",
"1",
")",
")",
"else",
":",
"return",
"Optional",
"(",
"self",
")",
"if",
"minElements",
":",
"if",
"minElements",
"==",
"1",
":",
"ret",
"=",
"self",
"+",
"makeOptionalList",
"(",
"optElements",
")",
"else",
":",
"ret",
"=",
"And",
"(",
"[",
"self",
"]",
"*",
"minElements",
")",
"+",
"makeOptionalList",
"(",
"optElements",
")",
"else",
":",
"ret",
"=",
"makeOptionalList",
"(",
"optElements",
")",
"else",
":",
"if",
"minElements",
"==",
"1",
":",
"ret",
"=",
"self",
"else",
":",
"ret",
"=",
"And",
"(",
"[",
"self",
"]",
"*",
"minElements",
")",
"return",
"ret"
] | https://github.com/aws/lumberyard/blob/f85344403c1c2e77ec8c75deb2c116e97b713217/dev/Gems/CloudGemDefectReporter/v1/AWS/common-code/Lib/pkg_resources/_vendor/pyparsing.py#L1836-L1902 |
|
aws/lumberyard | f85344403c1c2e77ec8c75deb2c116e97b713217 | dev/Gems/CloudGemMetric/v1/AWS/common-code/Lib/pandas/core/indexes/range.py | python | RangeIndex._extended_gcd | (self, a, b) | return old_r, old_s, old_t | Extended Euclidean algorithms to solve Bezout's identity:
a*x + b*y = gcd(x, y)
Finds one particular solution for x, y: s, t
Returns: gcd, s, t | Extended Euclidean algorithms to solve Bezout's identity:
a*x + b*y = gcd(x, y)
Finds one particular solution for x, y: s, t
Returns: gcd, s, t | [
"Extended",
"Euclidean",
"algorithms",
"to",
"solve",
"Bezout",
"s",
"identity",
":",
"a",
"*",
"x",
"+",
"b",
"*",
"y",
"=",
"gcd",
"(",
"x",
"y",
")",
"Finds",
"one",
"particular",
"solution",
"for",
"x",
"y",
":",
"s",
"t",
"Returns",
":",
"gcd",
"s",
"t"
] | def _extended_gcd(self, a, b):
"""
Extended Euclidean algorithms to solve Bezout's identity:
a*x + b*y = gcd(x, y)
Finds one particular solution for x, y: s, t
Returns: gcd, s, t
"""
s, old_s = 0, 1
t, old_t = 1, 0
r, old_r = b, a
while r:
quotient = old_r // r
old_r, r = r, old_r - quotient * r
old_s, s = s, old_s - quotient * s
old_t, t = t, old_t - quotient * t
return old_r, old_s, old_t | [
"def",
"_extended_gcd",
"(",
"self",
",",
"a",
",",
"b",
")",
":",
"s",
",",
"old_s",
"=",
"0",
",",
"1",
"t",
",",
"old_t",
"=",
"1",
",",
"0",
"r",
",",
"old_r",
"=",
"b",
",",
"a",
"while",
"r",
":",
"quotient",
"=",
"old_r",
"//",
"r",
"old_r",
",",
"r",
"=",
"r",
",",
"old_r",
"-",
"quotient",
"*",
"r",
"old_s",
",",
"s",
"=",
"s",
",",
"old_s",
"-",
"quotient",
"*",
"s",
"old_t",
",",
"t",
"=",
"t",
",",
"old_t",
"-",
"quotient",
"*",
"t",
"return",
"old_r",
",",
"old_s",
",",
"old_t"
] | https://github.com/aws/lumberyard/blob/f85344403c1c2e77ec8c75deb2c116e97b713217/dev/Gems/CloudGemMetric/v1/AWS/common-code/Lib/pandas/core/indexes/range.py#L532-L547 |
|
klzgrad/naiveproxy | ed2c513637c77b18721fe428d7ed395b4d284c83 | src/tools/grit/grit/util.py | python | EncodeCdata | (cdata) | Returns the provided cdata in either escaped format or <![CDATA[xxx]]>
format, depending on which is more appropriate for easy editing. The data
is escaped for inclusion in an XML element's body.
Args:
cdata: 'If x < y and y < z then x < z'
Return:
'<![CDATA[If x < y and y < z then x < z]]>' | Returns the provided cdata in either escaped format or <![CDATA[xxx]]>
format, depending on which is more appropriate for easy editing. The data
is escaped for inclusion in an XML element's body. | [
"Returns",
"the",
"provided",
"cdata",
"in",
"either",
"escaped",
"format",
"or",
"<!",
"[",
"CDATA",
"[",
"xxx",
"]]",
">",
"format",
"depending",
"on",
"which",
"is",
"more",
"appropriate",
"for",
"easy",
"editing",
".",
"The",
"data",
"is",
"escaped",
"for",
"inclusion",
"in",
"an",
"XML",
"element",
"s",
"body",
"."
] | def EncodeCdata(cdata):
'''Returns the provided cdata in either escaped format or <![CDATA[xxx]]>
format, depending on which is more appropriate for easy editing. The data
is escaped for inclusion in an XML element's body.
Args:
cdata: 'If x < y and y < z then x < z'
Return:
'<![CDATA[If x < y and y < z then x < z]]>'
'''
if cdata.count('<') > 1 or cdata.count('>') > 1 and cdata.count(']]>') == 0:
return '<![CDATA[%s]]>' % cdata
else:
return saxutils.escape(cdata) | [
"def",
"EncodeCdata",
"(",
"cdata",
")",
":",
"if",
"cdata",
".",
"count",
"(",
"'<'",
")",
">",
"1",
"or",
"cdata",
".",
"count",
"(",
"'>'",
")",
">",
"1",
"and",
"cdata",
".",
"count",
"(",
"']]>'",
")",
"==",
"0",
":",
"return",
"'<![CDATA[%s]]>'",
"%",
"cdata",
"else",
":",
"return",
"saxutils",
".",
"escape",
"(",
"cdata",
")"
] | https://github.com/klzgrad/naiveproxy/blob/ed2c513637c77b18721fe428d7ed395b4d284c83/src/tools/grit/grit/util.py#L290-L304 |
||
kamyu104/LeetCode-Solutions | 77605708a927ea3b85aee5a479db733938c7c211 | Python/maximum-product-of-the-length-of-two-palindromic-subsequences.py | python | Solution.maxProduct | (self, s) | return result | :type s: str
:rtype: int | :type s: str
:rtype: int | [
":",
"type",
"s",
":",
"str",
":",
"rtype",
":",
"int"
] | def maxProduct(self, s):
"""
:type s: str
:rtype: int
"""
def palindromic_subsequence_length(s, mask):
result = 0
left, right = 0, len(s)-1
left_bit, right_bit = 1<<left, 1<<right
while left <= right:
if mask&left_bit == 0:
left, left_bit = left+1, left_bit<<1
elif mask&right_bit == 0:
right, right_bit = right-1, right_bit>>1
elif s[left] == s[right]:
result += 1 if left == right else 2
left, left_bit = left+1, left_bit<<1
right, right_bit = right-1, right_bit>>1
else:
return 0
return result
dp = [palindromic_subsequence_length(s, mask) for mask in xrange(1<<len(s))]
result = 0
for mask in xrange(len(dp)):
if dp[mask]*(len(s)-dp[mask]) <= result: # optimize
continue
# submask enumeration:
# => sum(nCr(n, k) * 2^k for k in xrange(n+1)) = (1 + 2)^n = 3^n
# => Time: O(3^n), see https://cp-algorithms.com/algebra/all-submasks.html
submask = inverse_mask = (len(dp)-1)^mask
while submask:
result = max(result, dp[mask]*dp[submask])
submask = (submask-1)&inverse_mask
return result | [
"def",
"maxProduct",
"(",
"self",
",",
"s",
")",
":",
"def",
"palindromic_subsequence_length",
"(",
"s",
",",
"mask",
")",
":",
"result",
"=",
"0",
"left",
",",
"right",
"=",
"0",
",",
"len",
"(",
"s",
")",
"-",
"1",
"left_bit",
",",
"right_bit",
"=",
"1",
"<<",
"left",
",",
"1",
"<<",
"right",
"while",
"left",
"<=",
"right",
":",
"if",
"mask",
"&",
"left_bit",
"==",
"0",
":",
"left",
",",
"left_bit",
"=",
"left",
"+",
"1",
",",
"left_bit",
"<<",
"1",
"elif",
"mask",
"&",
"right_bit",
"==",
"0",
":",
"right",
",",
"right_bit",
"=",
"right",
"-",
"1",
",",
"right_bit",
">>",
"1",
"elif",
"s",
"[",
"left",
"]",
"==",
"s",
"[",
"right",
"]",
":",
"result",
"+=",
"1",
"if",
"left",
"==",
"right",
"else",
"2",
"left",
",",
"left_bit",
"=",
"left",
"+",
"1",
",",
"left_bit",
"<<",
"1",
"right",
",",
"right_bit",
"=",
"right",
"-",
"1",
",",
"right_bit",
">>",
"1",
"else",
":",
"return",
"0",
"return",
"result",
"dp",
"=",
"[",
"palindromic_subsequence_length",
"(",
"s",
",",
"mask",
")",
"for",
"mask",
"in",
"xrange",
"(",
"1",
"<<",
"len",
"(",
"s",
")",
")",
"]",
"result",
"=",
"0",
"for",
"mask",
"in",
"xrange",
"(",
"len",
"(",
"dp",
")",
")",
":",
"if",
"dp",
"[",
"mask",
"]",
"*",
"(",
"len",
"(",
"s",
")",
"-",
"dp",
"[",
"mask",
"]",
")",
"<=",
"result",
":",
"# optimize",
"continue",
"# submask enumeration:",
"# => sum(nCr(n, k) * 2^k for k in xrange(n+1)) = (1 + 2)^n = 3^n",
"# => Time: O(3^n), see https://cp-algorithms.com/algebra/all-submasks.html",
"submask",
"=",
"inverse_mask",
"=",
"(",
"len",
"(",
"dp",
")",
"-",
"1",
")",
"^",
"mask",
"while",
"submask",
":",
"result",
"=",
"max",
"(",
"result",
",",
"dp",
"[",
"mask",
"]",
"*",
"dp",
"[",
"submask",
"]",
")",
"submask",
"=",
"(",
"submask",
"-",
"1",
")",
"&",
"inverse_mask",
"return",
"result"
] | https://github.com/kamyu104/LeetCode-Solutions/blob/77605708a927ea3b85aee5a479db733938c7c211/Python/maximum-product-of-the-length-of-two-palindromic-subsequences.py#L5-L39 |
|
hanpfei/chromium-net | 392cc1fa3a8f92f42e4071ab6e674d8e0482f83f | tools/unused-symbols-report.py | python | Parse | (input, skip_paths=None, only_paths=None) | Parse the --print-gc-sections build output.
Args:
input: iterable over the lines of the build output
Yields:
(target name, path to .o file, demangled symbol) | Parse the --print-gc-sections build output. | [
"Parse",
"the",
"--",
"print",
"-",
"gc",
"-",
"sections",
"build",
"output",
"."
] | def Parse(input, skip_paths=None, only_paths=None):
"""Parse the --print-gc-sections build output.
Args:
input: iterable over the lines of the build output
Yields:
(target name, path to .o file, demangled symbol)
"""
symbol_re = re.compile(r"'\.text\.(\S+)' in file '(\S+)'$")
path_re = re.compile(r"^out/[^/]+/[^/]+/([^/]+)/(.*)$")
for line in input:
match = symbol_re.search(line)
if not match:
continue
symbol, path = match.groups()
symbol = Unyuck(Demangle(symbol))
path = os.path.normpath(path)
if skip_paths and skip_paths in path:
continue
if only_paths and only_paths not in path:
continue
match = path_re.match(path)
if not match:
print >>sys.stderr, "Skipping weird path", path
continue
target, path = match.groups()
yield target, path, symbol | [
"def",
"Parse",
"(",
"input",
",",
"skip_paths",
"=",
"None",
",",
"only_paths",
"=",
"None",
")",
":",
"symbol_re",
"=",
"re",
".",
"compile",
"(",
"r\"'\\.text\\.(\\S+)' in file '(\\S+)'$\"",
")",
"path_re",
"=",
"re",
".",
"compile",
"(",
"r\"^out/[^/]+/[^/]+/([^/]+)/(.*)$\"",
")",
"for",
"line",
"in",
"input",
":",
"match",
"=",
"symbol_re",
".",
"search",
"(",
"line",
")",
"if",
"not",
"match",
":",
"continue",
"symbol",
",",
"path",
"=",
"match",
".",
"groups",
"(",
")",
"symbol",
"=",
"Unyuck",
"(",
"Demangle",
"(",
"symbol",
")",
")",
"path",
"=",
"os",
".",
"path",
".",
"normpath",
"(",
"path",
")",
"if",
"skip_paths",
"and",
"skip_paths",
"in",
"path",
":",
"continue",
"if",
"only_paths",
"and",
"only_paths",
"not",
"in",
"path",
":",
"continue",
"match",
"=",
"path_re",
".",
"match",
"(",
"path",
")",
"if",
"not",
"match",
":",
"print",
">>",
"sys",
".",
"stderr",
",",
"\"Skipping weird path\"",
",",
"path",
"continue",
"target",
",",
"path",
"=",
"match",
".",
"groups",
"(",
")",
"yield",
"target",
",",
"path",
",",
"symbol"
] | https://github.com/hanpfei/chromium-net/blob/392cc1fa3a8f92f42e4071ab6e674d8e0482f83f/tools/unused-symbols-report.py#L51-L78 |
||
alibaba/weex_js_engine | 2bdf4b6f020c1fc99c63f649718f6faf7e27fdde | jni/v8core/v8/build/gyp/pylib/gyp/input.py | python | ValidateTargetType | (target, target_dict) | Ensures the 'type' field on the target is one of the known types.
Arguments:
target: string, name of target.
target_dict: dict, target spec.
Raises an exception on error. | Ensures the 'type' field on the target is one of the known types. | [
"Ensures",
"the",
"type",
"field",
"on",
"the",
"target",
"is",
"one",
"of",
"the",
"known",
"types",
"."
] | def ValidateTargetType(target, target_dict):
"""Ensures the 'type' field on the target is one of the known types.
Arguments:
target: string, name of target.
target_dict: dict, target spec.
Raises an exception on error.
"""
VALID_TARGET_TYPES = ('executable', 'loadable_module',
'static_library', 'shared_library',
'none')
target_type = target_dict.get('type', None)
if target_type not in VALID_TARGET_TYPES:
raise GypError("Target %s has an invalid target type '%s'. "
"Must be one of %s." %
(target, target_type, '/'.join(VALID_TARGET_TYPES))) | [
"def",
"ValidateTargetType",
"(",
"target",
",",
"target_dict",
")",
":",
"VALID_TARGET_TYPES",
"=",
"(",
"'executable'",
",",
"'loadable_module'",
",",
"'static_library'",
",",
"'shared_library'",
",",
"'none'",
")",
"target_type",
"=",
"target_dict",
".",
"get",
"(",
"'type'",
",",
"None",
")",
"if",
"target_type",
"not",
"in",
"VALID_TARGET_TYPES",
":",
"raise",
"GypError",
"(",
"\"Target %s has an invalid target type '%s'. \"",
"\"Must be one of %s.\"",
"%",
"(",
"target",
",",
"target_type",
",",
"'/'",
".",
"join",
"(",
"VALID_TARGET_TYPES",
")",
")",
")"
] | https://github.com/alibaba/weex_js_engine/blob/2bdf4b6f020c1fc99c63f649718f6faf7e27fdde/jni/v8core/v8/build/gyp/pylib/gyp/input.py#L2127-L2143 |
||
arx/ArxLibertatis | 0313c51625f3f55016cdad43d2c7f7296d27949c | scripts/cpplint.py | python | RemoveMultiLineCommentsFromRange | (lines, begin, end) | Clears a range of lines for multi-line comments. | Clears a range of lines for multi-line comments. | [
"Clears",
"a",
"range",
"of",
"lines",
"for",
"multi",
"-",
"line",
"comments",
"."
] | def RemoveMultiLineCommentsFromRange(lines, begin, end):
"""Clears a range of lines for multi-line comments."""
# Having // dummy comments makes the lines non-empty, so we will not get
# unnecessary blank line warnings later in the code.
for i in range(begin, end):
lines[i] = re.search('^\t*', lines[i]).group(0) + '// dummy' | [
"def",
"RemoveMultiLineCommentsFromRange",
"(",
"lines",
",",
"begin",
",",
"end",
")",
":",
"# Having // dummy comments makes the lines non-empty, so we will not get",
"# unnecessary blank line warnings later in the code.",
"for",
"i",
"in",
"range",
"(",
"begin",
",",
"end",
")",
":",
"lines",
"[",
"i",
"]",
"=",
"re",
".",
"search",
"(",
"'^\\t*'",
",",
"lines",
"[",
"i",
"]",
")",
".",
"group",
"(",
"0",
")",
"+",
"'// dummy'"
] | https://github.com/arx/ArxLibertatis/blob/0313c51625f3f55016cdad43d2c7f7296d27949c/scripts/cpplint.py#L925-L930 |
||
nileshkulkarni/csm | 0e6e0e7d4f725fd36f2414c0be4b9d83197aa1fc | csm/utils/transformations.py | python | angle_between_vectors | (v0, v1, directed=True, axis=0) | return numpy.arccos(dot if directed else numpy.fabs(dot)) | Return angle between vectors.
If directed is False, the input vectors are interpreted as undirected axes,
i.e. the maximum angle is pi/2.
>>> a = angle_between_vectors([1, -2, 3], [-1, 2, -3])
>>> numpy.allclose(a, math.pi)
True
>>> a = angle_between_vectors([1, -2, 3], [-1, 2, -3], directed=False)
>>> numpy.allclose(a, 0)
True
>>> v0 = [[2, 0, 0, 2], [0, 2, 0, 2], [0, 0, 2, 2]]
>>> v1 = [[3], [0], [0]]
>>> a = angle_between_vectors(v0, v1)
>>> numpy.allclose(a, [0, 1.5708, 1.5708, 0.95532])
True
>>> v0 = [[2, 0, 0], [2, 0, 0], [0, 2, 0], [2, 0, 0]]
>>> v1 = [[0, 3, 0], [0, 0, 3], [0, 0, 3], [3, 3, 3]]
>>> a = angle_between_vectors(v0, v1, axis=1)
>>> numpy.allclose(a, [1.5708, 1.5708, 1.5708, 0.95532])
True | Return angle between vectors. | [
"Return",
"angle",
"between",
"vectors",
"."
] | def angle_between_vectors(v0, v1, directed=True, axis=0):
"""Return angle between vectors.
If directed is False, the input vectors are interpreted as undirected axes,
i.e. the maximum angle is pi/2.
>>> a = angle_between_vectors([1, -2, 3], [-1, 2, -3])
>>> numpy.allclose(a, math.pi)
True
>>> a = angle_between_vectors([1, -2, 3], [-1, 2, -3], directed=False)
>>> numpy.allclose(a, 0)
True
>>> v0 = [[2, 0, 0, 2], [0, 2, 0, 2], [0, 0, 2, 2]]
>>> v1 = [[3], [0], [0]]
>>> a = angle_between_vectors(v0, v1)
>>> numpy.allclose(a, [0, 1.5708, 1.5708, 0.95532])
True
>>> v0 = [[2, 0, 0], [2, 0, 0], [0, 2, 0], [2, 0, 0]]
>>> v1 = [[0, 3, 0], [0, 0, 3], [0, 0, 3], [3, 3, 3]]
>>> a = angle_between_vectors(v0, v1, axis=1)
>>> numpy.allclose(a, [1.5708, 1.5708, 1.5708, 0.95532])
True
"""
v0 = numpy.array(v0, dtype=numpy.float64, copy=False)
v1 = numpy.array(v1, dtype=numpy.float64, copy=False)
dot = numpy.sum(v0 * v1, axis=axis)
dot /= vector_norm(v0, axis=axis) * vector_norm(v1, axis=axis)
return numpy.arccos(dot if directed else numpy.fabs(dot)) | [
"def",
"angle_between_vectors",
"(",
"v0",
",",
"v1",
",",
"directed",
"=",
"True",
",",
"axis",
"=",
"0",
")",
":",
"v0",
"=",
"numpy",
".",
"array",
"(",
"v0",
",",
"dtype",
"=",
"numpy",
".",
"float64",
",",
"copy",
"=",
"False",
")",
"v1",
"=",
"numpy",
".",
"array",
"(",
"v1",
",",
"dtype",
"=",
"numpy",
".",
"float64",
",",
"copy",
"=",
"False",
")",
"dot",
"=",
"numpy",
".",
"sum",
"(",
"v0",
"*",
"v1",
",",
"axis",
"=",
"axis",
")",
"dot",
"/=",
"vector_norm",
"(",
"v0",
",",
"axis",
"=",
"axis",
")",
"*",
"vector_norm",
"(",
"v1",
",",
"axis",
"=",
"axis",
")",
"return",
"numpy",
".",
"arccos",
"(",
"dot",
"if",
"directed",
"else",
"numpy",
".",
"fabs",
"(",
"dot",
")",
")"
] | https://github.com/nileshkulkarni/csm/blob/0e6e0e7d4f725fd36f2414c0be4b9d83197aa1fc/csm/utils/transformations.py#L1807-L1835 |
|
weolar/miniblink49 | 1c4678db0594a4abde23d3ebbcc7cd13c3170777 | third_party/WebKit/Tools/Scripts/webkitpy/thirdparty/mod_pywebsocket/_stream_hixie75.py | python | StreamHixie75.send_message | (self, message, end=True, binary=False) | Send message.
Args:
message: unicode string to send.
binary: not used in hixie75.
Raises:
BadOperationException: when called on a server-terminated
connection. | Send message. | [
"Send",
"message",
"."
] | def send_message(self, message, end=True, binary=False):
"""Send message.
Args:
message: unicode string to send.
binary: not used in hixie75.
Raises:
BadOperationException: when called on a server-terminated
connection.
"""
if not end:
raise BadOperationException(
'StreamHixie75 doesn\'t support send_message with end=False')
if binary:
raise BadOperationException(
'StreamHixie75 doesn\'t support send_message with binary=True')
if self._request.server_terminated:
raise BadOperationException(
'Requested send_message after sending out a closing handshake')
self._write(''.join(['\x00', message.encode('utf-8'), '\xff'])) | [
"def",
"send_message",
"(",
"self",
",",
"message",
",",
"end",
"=",
"True",
",",
"binary",
"=",
"False",
")",
":",
"if",
"not",
"end",
":",
"raise",
"BadOperationException",
"(",
"'StreamHixie75 doesn\\'t support send_message with end=False'",
")",
"if",
"binary",
":",
"raise",
"BadOperationException",
"(",
"'StreamHixie75 doesn\\'t support send_message with binary=True'",
")",
"if",
"self",
".",
"_request",
".",
"server_terminated",
":",
"raise",
"BadOperationException",
"(",
"'Requested send_message after sending out a closing handshake'",
")",
"self",
".",
"_write",
"(",
"''",
".",
"join",
"(",
"[",
"'\\x00'",
",",
"message",
".",
"encode",
"(",
"'utf-8'",
")",
",",
"'\\xff'",
"]",
")",
")"
] | https://github.com/weolar/miniblink49/blob/1c4678db0594a4abde23d3ebbcc7cd13c3170777/third_party/WebKit/Tools/Scripts/webkitpy/thirdparty/mod_pywebsocket/_stream_hixie75.py#L73-L97 |
||
google/shaka-packager | e1b0c7c45431327fd3ce193514a5407d07b39b22 | packager/third_party/protobuf/python/google/protobuf/internal/python_message.py | python | _VerifyExtensionHandle | (message, extension_handle) | Verify that the given extension handle is valid. | Verify that the given extension handle is valid. | [
"Verify",
"that",
"the",
"given",
"extension",
"handle",
"is",
"valid",
"."
] | def _VerifyExtensionHandle(message, extension_handle):
"""Verify that the given extension handle is valid."""
if not isinstance(extension_handle, _FieldDescriptor):
raise KeyError('HasExtension() expects an extension handle, got: %s' %
extension_handle)
if not extension_handle.is_extension:
raise KeyError('"%s" is not an extension.' % extension_handle.full_name)
if not extension_handle.containing_type:
raise KeyError('"%s" is missing a containing_type.'
% extension_handle.full_name)
if extension_handle.containing_type is not message.DESCRIPTOR:
raise KeyError('Extension "%s" extends message type "%s", but this '
'message is of type "%s".' %
(extension_handle.full_name,
extension_handle.containing_type.full_name,
message.DESCRIPTOR.full_name)) | [
"def",
"_VerifyExtensionHandle",
"(",
"message",
",",
"extension_handle",
")",
":",
"if",
"not",
"isinstance",
"(",
"extension_handle",
",",
"_FieldDescriptor",
")",
":",
"raise",
"KeyError",
"(",
"'HasExtension() expects an extension handle, got: %s'",
"%",
"extension_handle",
")",
"if",
"not",
"extension_handle",
".",
"is_extension",
":",
"raise",
"KeyError",
"(",
"'\"%s\" is not an extension.'",
"%",
"extension_handle",
".",
"full_name",
")",
"if",
"not",
"extension_handle",
".",
"containing_type",
":",
"raise",
"KeyError",
"(",
"'\"%s\" is missing a containing_type.'",
"%",
"extension_handle",
".",
"full_name",
")",
"if",
"extension_handle",
".",
"containing_type",
"is",
"not",
"message",
".",
"DESCRIPTOR",
":",
"raise",
"KeyError",
"(",
"'Extension \"%s\" extends message type \"%s\", but this '",
"'message is of type \"%s\".'",
"%",
"(",
"extension_handle",
".",
"full_name",
",",
"extension_handle",
".",
"containing_type",
".",
"full_name",
",",
"message",
".",
"DESCRIPTOR",
".",
"full_name",
")",
")"
] | https://github.com/google/shaka-packager/blob/e1b0c7c45431327fd3ce193514a5407d07b39b22/packager/third_party/protobuf/python/google/protobuf/internal/python_message.py#L213-L232 |
||
cms-sw/cmssw | fd9de012d503d3405420bcbeec0ec879baa57cf2 | Configuration/DataProcessing/python/Utils.py | python | addMonitoring | (process) | return process | _addMonitoring_
Add the monitoring services to the process provided
in order to write out performance summaries to the framework job report | _addMonitoring_
Add the monitoring services to the process provided
in order to write out performance summaries to the framework job report | [
"_addMonitoring_",
"Add",
"the",
"monitoring",
"services",
"to",
"the",
"process",
"provided",
"in",
"order",
"to",
"write",
"out",
"performance",
"summaries",
"to",
"the",
"framework",
"job",
"report"
] | def addMonitoring(process):
"""
_addMonitoring_
Add the monitoring services to the process provided
in order to write out performance summaries to the framework job report
"""
import FWCore.ParameterSet.Config as cms
process.SimpleMemoryCheck = cms.Service("SimpleMemoryCheck",
jobReportOutputOnly = cms.untracked.bool(True)
)
process.Timing = cms.Service("Timing",
summaryOnly = cms.untracked.bool(True)
)
return process | [
"def",
"addMonitoring",
"(",
"process",
")",
":",
"import",
"FWCore",
".",
"ParameterSet",
".",
"Config",
"as",
"cms",
"process",
".",
"SimpleMemoryCheck",
"=",
"cms",
".",
"Service",
"(",
"\"SimpleMemoryCheck\"",
",",
"jobReportOutputOnly",
"=",
"cms",
".",
"untracked",
".",
"bool",
"(",
"True",
")",
")",
"process",
".",
"Timing",
"=",
"cms",
".",
"Service",
"(",
"\"Timing\"",
",",
"summaryOnly",
"=",
"cms",
".",
"untracked",
".",
"bool",
"(",
"True",
")",
")",
"return",
"process"
] | https://github.com/cms-sw/cmssw/blob/fd9de012d503d3405420bcbeec0ec879baa57cf2/Configuration/DataProcessing/python/Utils.py#L38-L54 |
|
InsightSoftwareConsortium/ITK | 87acfce9a93d928311c38bc371b666b515b9f19d | Modules/ThirdParty/pygccxml/src/pygccxml/declarations/type_traits.py | python | is_void_pointer | (type_) | return is_same(type_, cpptypes.pointer_t(cpptypes.void_t())) | returns True, if type represents `void*`, False otherwise | returns True, if type represents `void*`, False otherwise | [
"returns",
"True",
"if",
"type",
"represents",
"void",
"*",
"False",
"otherwise"
] | def is_void_pointer(type_):
"""returns True, if type represents `void*`, False otherwise"""
return is_same(type_, cpptypes.pointer_t(cpptypes.void_t())) | [
"def",
"is_void_pointer",
"(",
"type_",
")",
":",
"return",
"is_same",
"(",
"type_",
",",
"cpptypes",
".",
"pointer_t",
"(",
"cpptypes",
".",
"void_t",
"(",
")",
")",
")"
] | https://github.com/InsightSoftwareConsortium/ITK/blob/87acfce9a93d928311c38bc371b666b515b9f19d/Modules/ThirdParty/pygccxml/src/pygccxml/declarations/type_traits.py#L198-L200 |
|
tensorflow/tensorflow | 419e3a6b650ea4bd1b0cba23c4348f8a69f3272e | tensorflow/python/ops/linalg/linear_operator_circulant.py | python | _BaseLinearOperatorCirculant.block_shape_tensor | (self) | return self._block_shape_tensor() | Shape of the block dimensions of `self.spectrum`. | Shape of the block dimensions of `self.spectrum`. | [
"Shape",
"of",
"the",
"block",
"dimensions",
"of",
"self",
".",
"spectrum",
"."
] | def block_shape_tensor(self):
"""Shape of the block dimensions of `self.spectrum`."""
# If spectrum.shape = [s0, s1, s2], and block_depth = 2,
# block_shape = [s1, s2]
return self._block_shape_tensor() | [
"def",
"block_shape_tensor",
"(",
"self",
")",
":",
"# If spectrum.shape = [s0, s1, s2], and block_depth = 2,",
"# block_shape = [s1, s2]",
"return",
"self",
".",
"_block_shape_tensor",
"(",
")"
] | https://github.com/tensorflow/tensorflow/blob/419e3a6b650ea4bd1b0cba23c4348f8a69f3272e/tensorflow/python/ops/linalg/linear_operator_circulant.py#L177-L181 |
|
tensorflow/tensorflow | 419e3a6b650ea4bd1b0cba23c4348f8a69f3272e | tensorflow/python/distribute/one_device_strategy.py | python | OneDeviceExtended._in_multi_worker_mode | (self) | return False | Whether this strategy indicates working in multi-worker settings. | Whether this strategy indicates working in multi-worker settings. | [
"Whether",
"this",
"strategy",
"indicates",
"working",
"in",
"multi",
"-",
"worker",
"settings",
"."
] | def _in_multi_worker_mode(self):
"""Whether this strategy indicates working in multi-worker settings."""
return False | [
"def",
"_in_multi_worker_mode",
"(",
"self",
")",
":",
"return",
"False"
] | https://github.com/tensorflow/tensorflow/blob/419e3a6b650ea4bd1b0cba23c4348f8a69f3272e/tensorflow/python/distribute/one_device_strategy.py#L428-L430 |
|
thalium/icebox | 99d147d5b9269222225443ce171b4fd46d8985d4 | third_party/virtualbox/src/VBox/GuestHost/OpenGL/glapi_parser/apiutil.py | python | CanCompile | (funcName) | Return 1 if the function can be compiled into display lists, else 0. | Return 1 if the function can be compiled into display lists, else 0. | [
"Return",
"1",
"if",
"the",
"function",
"can",
"be",
"compiled",
"into",
"display",
"lists",
"else",
"0",
"."
] | def CanCompile(funcName):
"""Return 1 if the function can be compiled into display lists, else 0."""
props = Properties(funcName)
if ("nolist" in props or
"get" in props or
"setclient" in props):
return 0
else:
return 1 | [
"def",
"CanCompile",
"(",
"funcName",
")",
":",
"props",
"=",
"Properties",
"(",
"funcName",
")",
"if",
"(",
"\"nolist\"",
"in",
"props",
"or",
"\"get\"",
"in",
"props",
"or",
"\"setclient\"",
"in",
"props",
")",
":",
"return",
"0",
"else",
":",
"return",
"1"
] | https://github.com/thalium/icebox/blob/99d147d5b9269222225443ce171b4fd46d8985d4/third_party/virtualbox/src/VBox/GuestHost/OpenGL/glapi_parser/apiutil.py#L399-L407 |
||
hanpfei/chromium-net | 392cc1fa3a8f92f42e4071ab6e674d8e0482f83f | third_party/catapult/tracing/tracing/metrics/discover.py | python | DiscoverMetrics | (modules_to_load) | Returns a list of registered metrics.
Args:
modules_to_load: a list of modules (string) to be loaded before discovering
the registered metrics. | Returns a list of registered metrics. | [
"Returns",
"a",
"list",
"of",
"registered",
"metrics",
"."
] | def DiscoverMetrics(modules_to_load):
""" Returns a list of registered metrics.
Args:
modules_to_load: a list of modules (string) to be loaded before discovering
the registered metrics.
"""
assert isinstance(modules_to_load, list)
project = tracing_project.TracingProject()
all_source_paths = list(project.source_paths)
res = vinn.RunFile(
_DISCOVER_CMD_LINE, source_paths=all_source_paths,
js_args=modules_to_load)
if res.returncode != 0:
raise RuntimeError('Error running metrics_discover_cmdline: ' + res.stdout)
else:
return [str(m) for m in json.loads(res.stdout)] | [
"def",
"DiscoverMetrics",
"(",
"modules_to_load",
")",
":",
"assert",
"isinstance",
"(",
"modules_to_load",
",",
"list",
")",
"project",
"=",
"tracing_project",
".",
"TracingProject",
"(",
")",
"all_source_paths",
"=",
"list",
"(",
"project",
".",
"source_paths",
")",
"res",
"=",
"vinn",
".",
"RunFile",
"(",
"_DISCOVER_CMD_LINE",
",",
"source_paths",
"=",
"all_source_paths",
",",
"js_args",
"=",
"modules_to_load",
")",
"if",
"res",
".",
"returncode",
"!=",
"0",
":",
"raise",
"RuntimeError",
"(",
"'Error running metrics_discover_cmdline: '",
"+",
"res",
".",
"stdout",
")",
"else",
":",
"return",
"[",
"str",
"(",
"m",
")",
"for",
"m",
"in",
"json",
".",
"loads",
"(",
"res",
".",
"stdout",
")",
"]"
] | https://github.com/hanpfei/chromium-net/blob/392cc1fa3a8f92f42e4071ab6e674d8e0482f83f/third_party/catapult/tracing/tracing/metrics/discover.py#L16-L34 |
||
aws/lumberyard | f85344403c1c2e77ec8c75deb2c116e97b713217 | dev/Gems/CloudGemDefectReporter/v1/AWS/common-code/Lib/urllib3/contrib/_securetransport/low_level.py | python | _cert_array_from_pem | (pem_bundle) | return cert_array | Given a bundle of certs in PEM format, turns them into a CFArray of certs
that can be used to validate a cert chain. | Given a bundle of certs in PEM format, turns them into a CFArray of certs
that can be used to validate a cert chain. | [
"Given",
"a",
"bundle",
"of",
"certs",
"in",
"PEM",
"format",
"turns",
"them",
"into",
"a",
"CFArray",
"of",
"certs",
"that",
"can",
"be",
"used",
"to",
"validate",
"a",
"cert",
"chain",
"."
] | def _cert_array_from_pem(pem_bundle):
"""
Given a bundle of certs in PEM format, turns them into a CFArray of certs
that can be used to validate a cert chain.
"""
der_certs = [
base64.b64decode(match.group(1))
for match in _PEM_CERTS_RE.finditer(pem_bundle)
]
if not der_certs:
raise ssl.SSLError("No root certificates specified")
cert_array = CoreFoundation.CFArrayCreateMutable(
CoreFoundation.kCFAllocatorDefault,
0,
ctypes.byref(CoreFoundation.kCFTypeArrayCallBacks)
)
if not cert_array:
raise ssl.SSLError("Unable to allocate memory!")
try:
for der_bytes in der_certs:
certdata = _cf_data_from_bytes(der_bytes)
if not certdata:
raise ssl.SSLError("Unable to allocate memory!")
cert = Security.SecCertificateCreateWithData(
CoreFoundation.kCFAllocatorDefault, certdata
)
CoreFoundation.CFRelease(certdata)
if not cert:
raise ssl.SSLError("Unable to build cert object!")
CoreFoundation.CFArrayAppendValue(cert_array, cert)
CoreFoundation.CFRelease(cert)
except Exception:
# We need to free the array before the exception bubbles further.
# We only want to do that if an error occurs: otherwise, the caller
# should free.
CoreFoundation.CFRelease(cert_array)
return cert_array | [
"def",
"_cert_array_from_pem",
"(",
"pem_bundle",
")",
":",
"der_certs",
"=",
"[",
"base64",
".",
"b64decode",
"(",
"match",
".",
"group",
"(",
"1",
")",
")",
"for",
"match",
"in",
"_PEM_CERTS_RE",
".",
"finditer",
"(",
"pem_bundle",
")",
"]",
"if",
"not",
"der_certs",
":",
"raise",
"ssl",
".",
"SSLError",
"(",
"\"No root certificates specified\"",
")",
"cert_array",
"=",
"CoreFoundation",
".",
"CFArrayCreateMutable",
"(",
"CoreFoundation",
".",
"kCFAllocatorDefault",
",",
"0",
",",
"ctypes",
".",
"byref",
"(",
"CoreFoundation",
".",
"kCFTypeArrayCallBacks",
")",
")",
"if",
"not",
"cert_array",
":",
"raise",
"ssl",
".",
"SSLError",
"(",
"\"Unable to allocate memory!\"",
")",
"try",
":",
"for",
"der_bytes",
"in",
"der_certs",
":",
"certdata",
"=",
"_cf_data_from_bytes",
"(",
"der_bytes",
")",
"if",
"not",
"certdata",
":",
"raise",
"ssl",
".",
"SSLError",
"(",
"\"Unable to allocate memory!\"",
")",
"cert",
"=",
"Security",
".",
"SecCertificateCreateWithData",
"(",
"CoreFoundation",
".",
"kCFAllocatorDefault",
",",
"certdata",
")",
"CoreFoundation",
".",
"CFRelease",
"(",
"certdata",
")",
"if",
"not",
"cert",
":",
"raise",
"ssl",
".",
"SSLError",
"(",
"\"Unable to build cert object!\"",
")",
"CoreFoundation",
".",
"CFArrayAppendValue",
"(",
"cert_array",
",",
"cert",
")",
"CoreFoundation",
".",
"CFRelease",
"(",
"cert",
")",
"except",
"Exception",
":",
"# We need to free the array before the exception bubbles further.",
"# We only want to do that if an error occurs: otherwise, the caller",
"# should free.",
"CoreFoundation",
".",
"CFRelease",
"(",
"cert_array",
")",
"return",
"cert_array"
] | https://github.com/aws/lumberyard/blob/f85344403c1c2e77ec8c75deb2c116e97b713217/dev/Gems/CloudGemDefectReporter/v1/AWS/common-code/Lib/urllib3/contrib/_securetransport/low_level.py#L109-L149 |
|
glinscott/leela-chess | 481f1de6c0d2ad7f4e27df551ac5fc754e684f69 | training/tf/chunkparser.py | python | ChunkParser.batch_gen | (self, gen) | Pack multiple records into a single batch | Pack multiple records into a single batch | [
"Pack",
"multiple",
"records",
"into",
"a",
"single",
"batch"
] | def batch_gen(self, gen):
"""
Pack multiple records into a single batch
"""
# Get N records. We flatten the returned generator to
# a list because we need to reuse it.
while True:
s = list(itertools.islice(gen, self.batch_size))
if not len(s):
return
yield ( b''.join([x[0] for x in s]),
b''.join([x[1] for x in s]),
b''.join([x[2] for x in s]) ) | [
"def",
"batch_gen",
"(",
"self",
",",
"gen",
")",
":",
"# Get N records. We flatten the returned generator to",
"# a list because we need to reuse it.",
"while",
"True",
":",
"s",
"=",
"list",
"(",
"itertools",
".",
"islice",
"(",
"gen",
",",
"self",
".",
"batch_size",
")",
")",
"if",
"not",
"len",
"(",
"s",
")",
":",
"return",
"yield",
"(",
"b''",
".",
"join",
"(",
"[",
"x",
"[",
"0",
"]",
"for",
"x",
"in",
"s",
"]",
")",
",",
"b''",
".",
"join",
"(",
"[",
"x",
"[",
"1",
"]",
"for",
"x",
"in",
"s",
"]",
")",
",",
"b''",
".",
"join",
"(",
"[",
"x",
"[",
"2",
"]",
"for",
"x",
"in",
"s",
"]",
")",
")"
] | https://github.com/glinscott/leela-chess/blob/481f1de6c0d2ad7f4e27df551ac5fc754e684f69/training/tf/chunkparser.py#L251-L263 |
||
qgis/QGIS | 15a77662d4bb712184f6aa60d0bd663010a76a75 | python/plugins/db_manager/db_plugins/postgis/connector.py | python | PostGisDBConnector.setTableColumnType | (self, table, column, data_type) | return self.updateTableColumn(table, column, None, data_type) | Changes column type | Changes column type | [
"Changes",
"column",
"type"
] | def setTableColumnType(self, table, column, data_type):
"""Changes column type """
return self.updateTableColumn(table, column, None, data_type) | [
"def",
"setTableColumnType",
"(",
"self",
",",
"table",
",",
"column",
",",
"data_type",
")",
":",
"return",
"self",
".",
"updateTableColumn",
"(",
"table",
",",
"column",
",",
"None",
",",
"data_type",
")"
] | https://github.com/qgis/QGIS/blob/15a77662d4bb712184f6aa60d0bd663010a76a75/python/plugins/db_manager/db_plugins/postgis/connector.py#L1132-L1134 |
|
windystrife/UnrealEngine_NVIDIAGameWorks | b50e6338a7c5b26374d66306ebc7807541ff815e | Engine/Extras/ThirdPartyNotUE/emsdk/Win64/python/2.7.5.3_64bit/Lib/wsgiref/handlers.py | python | BaseHandler.run | (self, application) | Invoke the application | Invoke the application | [
"Invoke",
"the",
"application"
] | def run(self, application):
"""Invoke the application"""
# Note to self: don't move the close()! Asynchronous servers shouldn't
# call close() from finish_response(), so if you close() anywhere but
# the double-error branch here, you'll break asynchronous servers by
# prematurely closing. Async servers must return from 'run()' without
# closing if there might still be output to iterate over.
try:
self.setup_environ()
self.result = application(self.environ, self.start_response)
self.finish_response()
except:
try:
self.handle_error()
except:
# If we get an error handling an error, just give up already!
self.close()
raise | [
"def",
"run",
"(",
"self",
",",
"application",
")",
":",
"# Note to self: don't move the close()! Asynchronous servers shouldn't",
"# call close() from finish_response(), so if you close() anywhere but",
"# the double-error branch here, you'll break asynchronous servers by",
"# prematurely closing. Async servers must return from 'run()' without",
"# closing if there might still be output to iterate over.",
"try",
":",
"self",
".",
"setup_environ",
"(",
")",
"self",
".",
"result",
"=",
"application",
"(",
"self",
".",
"environ",
",",
"self",
".",
"start_response",
")",
"self",
".",
"finish_response",
"(",
")",
"except",
":",
"try",
":",
"self",
".",
"handle_error",
"(",
")",
"except",
":",
"# If we get an error handling an error, just give up already!",
"self",
".",
"close",
"(",
")",
"raise"
] | https://github.com/windystrife/UnrealEngine_NVIDIAGameWorks/blob/b50e6338a7c5b26374d66306ebc7807541ff815e/Engine/Extras/ThirdPartyNotUE/emsdk/Win64/python/2.7.5.3_64bit/Lib/wsgiref/handlers.py#L76-L93 |
||
hanpfei/chromium-net | 392cc1fa3a8f92f42e4071ab6e674d8e0482f83f | tools/valgrind/gdb_helper.py | python | AddressTable.Add | (self, binary, address) | Register a lookup request. | Register a lookup request. | [
"Register",
"a",
"lookup",
"request",
"."
] | def Add(self, binary, address):
''' Register a lookup request. '''
if binary == '':
logging.warn('adding address %s in empty binary?' % address)
if binary in self._binaries:
self._binaries[binary].append(address)
else:
self._binaries[binary] = [address]
self._all_resolved = False | [
"def",
"Add",
"(",
"self",
",",
"binary",
",",
"address",
")",
":",
"if",
"binary",
"==",
"''",
":",
"logging",
".",
"warn",
"(",
"'adding address %s in empty binary?'",
"%",
"address",
")",
"if",
"binary",
"in",
"self",
".",
"_binaries",
":",
"self",
".",
"_binaries",
"[",
"binary",
"]",
".",
"append",
"(",
"address",
")",
"else",
":",
"self",
".",
"_binaries",
"[",
"binary",
"]",
"=",
"[",
"address",
"]",
"self",
".",
"_all_resolved",
"=",
"False"
] | https://github.com/hanpfei/chromium-net/blob/392cc1fa3a8f92f42e4071ab6e674d8e0482f83f/tools/valgrind/gdb_helper.py#L58-L66 |
||
aws/lumberyard | f85344403c1c2e77ec8c75deb2c116e97b713217 | dev/Gems/CloudGemMetric/v1/AWS/python/windows/Lib/pandas/core/frame.py | python | DataFrame._get_agg_axis | (self, axis_num) | Let's be explicit about this. | Let's be explicit about this. | [
"Let",
"s",
"be",
"explicit",
"about",
"this",
"."
] | def _get_agg_axis(self, axis_num):
"""
Let's be explicit about this.
"""
if axis_num == 0:
return self.columns
elif axis_num == 1:
return self.index
else:
raise ValueError(f"Axis must be 0 or 1 (got {repr(axis_num)})") | [
"def",
"_get_agg_axis",
"(",
"self",
",",
"axis_num",
")",
":",
"if",
"axis_num",
"==",
"0",
":",
"return",
"self",
".",
"columns",
"elif",
"axis_num",
"==",
"1",
":",
"return",
"self",
".",
"index",
"else",
":",
"raise",
"ValueError",
"(",
"f\"Axis must be 0 or 1 (got {repr(axis_num)})\"",
")"
] | https://github.com/aws/lumberyard/blob/f85344403c1c2e77ec8c75deb2c116e97b713217/dev/Gems/CloudGemMetric/v1/AWS/python/windows/Lib/pandas/core/frame.py#L8084-L8093 |
||
BlzFans/wke | b0fa21158312e40c5fbd84682d643022b6c34a93 | cygwin/lib/python2.6/urllib.py | python | localhost | () | return _localhost | Return the IP address of the magic hostname 'localhost'. | Return the IP address of the magic hostname 'localhost'. | [
"Return",
"the",
"IP",
"address",
"of",
"the",
"magic",
"hostname",
"localhost",
"."
] | def localhost():
"""Return the IP address of the magic hostname 'localhost'."""
global _localhost
if _localhost is None:
_localhost = socket.gethostbyname('localhost')
return _localhost | [
"def",
"localhost",
"(",
")",
":",
"global",
"_localhost",
"if",
"_localhost",
"is",
"None",
":",
"_localhost",
"=",
"socket",
".",
"gethostbyname",
"(",
"'localhost'",
")",
"return",
"_localhost"
] | https://github.com/BlzFans/wke/blob/b0fa21158312e40c5fbd84682d643022b6c34a93/cygwin/lib/python2.6/urllib.py#L802-L807 |
|
devpack/android-python27 | d42dd67565e104cf7b0b50eb473f615db3e69901 | python-build-with-qt/PyQt-x11-gpl-4.8/pyqtconfig.py | python | phononModuleMakefile.__init__ | (self, *args, **kw) | Initialise an instance of a module Makefile. | Initialise an instance of a module Makefile. | [
"Initialise",
"an",
"instance",
"of",
"a",
"module",
"Makefile",
"."
] | def __init__(self, *args, **kw):
"""Initialise an instance of a module Makefile.
"""
if "qt" not in kw:
kw["qt"] = ["QtCore", "QtGui", "phonon"]
QtGuiModuleMakefile.__init__(self, *args, **kw) | [
"def",
"__init__",
"(",
"self",
",",
"*",
"args",
",",
"*",
"*",
"kw",
")",
":",
"if",
"\"qt\"",
"not",
"in",
"kw",
":",
"kw",
"[",
"\"qt\"",
"]",
"=",
"[",
"\"QtCore\"",
",",
"\"QtGui\"",
",",
"\"phonon\"",
"]",
"QtGuiModuleMakefile",
".",
"__init__",
"(",
"self",
",",
"*",
"args",
",",
"*",
"*",
"kw",
")"
] | https://github.com/devpack/android-python27/blob/d42dd67565e104cf7b0b50eb473f615db3e69901/python-build-with-qt/PyQt-x11-gpl-4.8/pyqtconfig.py#L367-L373 |
||
LiquidPlayer/LiquidCore | 9405979363f2353ac9a71ad8ab59685dd7f919c9 | deps/node-10.15.3/deps/v8/src/PRESUBMIT.py | python | PostUploadHook | (cl, change, output_api) | return output_api.EnsureCQIncludeTrybotsAreAdded(
cl,
[
'luci.chromium.try:linux_chromium_rel_ng'
],
'Automatically added layout test trybots to run tests on CQ.') | git cl upload will call this hook after the issue is created/modified.
This hook adds extra try bots to the CL description in order to run layout
tests in addition to CQ try bots. | git cl upload will call this hook after the issue is created/modified. | [
"git",
"cl",
"upload",
"will",
"call",
"this",
"hook",
"after",
"the",
"issue",
"is",
"created",
"/",
"modified",
"."
] | def PostUploadHook(cl, change, output_api):
"""git cl upload will call this hook after the issue is created/modified.
This hook adds extra try bots to the CL description in order to run layout
tests in addition to CQ try bots.
"""
def is_api_cc(f):
return 'api.cc' == os.path.split(f.LocalPath())[1]
if not change.AffectedFiles(file_filter=is_api_cc):
return []
return output_api.EnsureCQIncludeTrybotsAreAdded(
cl,
[
'luci.chromium.try:linux_chromium_rel_ng'
],
'Automatically added layout test trybots to run tests on CQ.') | [
"def",
"PostUploadHook",
"(",
"cl",
",",
"change",
",",
"output_api",
")",
":",
"def",
"is_api_cc",
"(",
"f",
")",
":",
"return",
"'api.cc'",
"==",
"os",
".",
"path",
".",
"split",
"(",
"f",
".",
"LocalPath",
"(",
")",
")",
"[",
"1",
"]",
"if",
"not",
"change",
".",
"AffectedFiles",
"(",
"file_filter",
"=",
"is_api_cc",
")",
":",
"return",
"[",
"]",
"return",
"output_api",
".",
"EnsureCQIncludeTrybotsAreAdded",
"(",
"cl",
",",
"[",
"'luci.chromium.try:linux_chromium_rel_ng'",
"]",
",",
"'Automatically added layout test trybots to run tests on CQ.'",
")"
] | https://github.com/LiquidPlayer/LiquidCore/blob/9405979363f2353ac9a71ad8ab59685dd7f919c9/deps/node-10.15.3/deps/v8/src/PRESUBMIT.py#L14-L29 |
|
panda3d/panda3d | 833ad89ebad58395d0af0b7ec08538e5e4308265 | direct/src/directtools/DirectGeometry.py | python | LineNodePath.drawArrow | (self, sv, ev, arrowAngle, arrowLength) | Do the work of moving the cursor around to draw an arrow from
sv to ev. Hack: the arrows take the z value of the end point | Do the work of moving the cursor around to draw an arrow from
sv to ev. Hack: the arrows take the z value of the end point | [
"Do",
"the",
"work",
"of",
"moving",
"the",
"cursor",
"around",
"to",
"draw",
"an",
"arrow",
"from",
"sv",
"to",
"ev",
".",
"Hack",
":",
"the",
"arrows",
"take",
"the",
"z",
"value",
"of",
"the",
"end",
"point"
] | def drawArrow(self, sv, ev, arrowAngle, arrowLength):
"""
Do the work of moving the cursor around to draw an arrow from
sv to ev. Hack: the arrows take the z value of the end point
"""
self.moveTo(sv)
self.drawTo(ev)
v = sv - ev
# Find the angle of the line
angle = math.atan2(v[1], v[0])
# Get the arrow angles
a1 = angle + deg2Rad(arrowAngle)
a2 = angle - deg2Rad(arrowAngle)
# Get the arrow points
a1x = arrowLength * math.cos(a1)
a1y = arrowLength * math.sin(a1)
a2x = arrowLength * math.cos(a2)
a2y = arrowLength * math.sin(a2)
z = ev[2]
self.moveTo(ev)
self.drawTo(Point3(ev + Point3(a1x, a1y, z)))
self.moveTo(ev)
self.drawTo(Point3(ev + Point3(a2x, a2y, z))) | [
"def",
"drawArrow",
"(",
"self",
",",
"sv",
",",
"ev",
",",
"arrowAngle",
",",
"arrowLength",
")",
":",
"self",
".",
"moveTo",
"(",
"sv",
")",
"self",
".",
"drawTo",
"(",
"ev",
")",
"v",
"=",
"sv",
"-",
"ev",
"# Find the angle of the line",
"angle",
"=",
"math",
".",
"atan2",
"(",
"v",
"[",
"1",
"]",
",",
"v",
"[",
"0",
"]",
")",
"# Get the arrow angles",
"a1",
"=",
"angle",
"+",
"deg2Rad",
"(",
"arrowAngle",
")",
"a2",
"=",
"angle",
"-",
"deg2Rad",
"(",
"arrowAngle",
")",
"# Get the arrow points",
"a1x",
"=",
"arrowLength",
"*",
"math",
".",
"cos",
"(",
"a1",
")",
"a1y",
"=",
"arrowLength",
"*",
"math",
".",
"sin",
"(",
"a1",
")",
"a2x",
"=",
"arrowLength",
"*",
"math",
".",
"cos",
"(",
"a2",
")",
"a2y",
"=",
"arrowLength",
"*",
"math",
".",
"sin",
"(",
"a2",
")",
"z",
"=",
"ev",
"[",
"2",
"]",
"self",
".",
"moveTo",
"(",
"ev",
")",
"self",
".",
"drawTo",
"(",
"Point3",
"(",
"ev",
"+",
"Point3",
"(",
"a1x",
",",
"a1y",
",",
"z",
")",
")",
")",
"self",
".",
"moveTo",
"(",
"ev",
")",
"self",
".",
"drawTo",
"(",
"Point3",
"(",
"ev",
"+",
"Point3",
"(",
"a2x",
",",
"a2y",
",",
"z",
")",
")",
")"
] | https://github.com/panda3d/panda3d/blob/833ad89ebad58395d0af0b7ec08538e5e4308265/direct/src/directtools/DirectGeometry.py#L70-L92 |
||
benoitsteiner/tensorflow-opencl | cb7cb40a57fde5cfd4731bc551e82a1e2fef43a5 | tensorflow/python/framework/random_seed.py | python | get_seed | (op_seed) | return seeds | Returns the local seeds an operation should use given an op-specific seed.
Given operation-specific seed, `op_seed`, this helper function returns two
seeds derived from graph-level and op-level seeds. Many random operations
internally use the two seeds to allow user to change the seed globally for a
graph, or for only specific operations.
For details on how the graph-level seed interacts with op seeds, see
@{tf.set_random_seed}.
Args:
op_seed: integer.
Returns:
A tuple of two integers that should be used for the local seed of this
operation. | Returns the local seeds an operation should use given an op-specific seed. | [
"Returns",
"the",
"local",
"seeds",
"an",
"operation",
"should",
"use",
"given",
"an",
"op",
"-",
"specific",
"seed",
"."
] | def get_seed(op_seed):
"""Returns the local seeds an operation should use given an op-specific seed.
Given operation-specific seed, `op_seed`, this helper function returns two
seeds derived from graph-level and op-level seeds. Many random operations
internally use the two seeds to allow user to change the seed globally for a
graph, or for only specific operations.
For details on how the graph-level seed interacts with op seeds, see
@{tf.set_random_seed}.
Args:
op_seed: integer.
Returns:
A tuple of two integers that should be used for the local seed of this
operation.
"""
is_graph_mode = context.in_graph_mode()
if is_graph_mode:
global_seed = ops.get_default_graph().seed
else:
global_seed = context.global_seed()
if global_seed is not None:
if op_seed is None:
# pylint: disable=protected-access
if is_graph_mode:
op_seed = ops.get_default_graph()._last_id
else:
op_seed = context.internal_operation_seed()
seeds = _truncate_seed(global_seed), _truncate_seed(op_seed)
else:
if op_seed is not None:
seeds = DEFAULT_GRAPH_SEED, _truncate_seed(op_seed)
else:
seeds = None, None
# Avoid (0, 0) as the C++ ops interpret it as nondeterminism, which would
# be unexpected since Python docs say nondeterminism is (None, None).
if seeds == (0, 0):
return (0, _MAXINT32)
return seeds | [
"def",
"get_seed",
"(",
"op_seed",
")",
":",
"is_graph_mode",
"=",
"context",
".",
"in_graph_mode",
"(",
")",
"if",
"is_graph_mode",
":",
"global_seed",
"=",
"ops",
".",
"get_default_graph",
"(",
")",
".",
"seed",
"else",
":",
"global_seed",
"=",
"context",
".",
"global_seed",
"(",
")",
"if",
"global_seed",
"is",
"not",
"None",
":",
"if",
"op_seed",
"is",
"None",
":",
"# pylint: disable=protected-access",
"if",
"is_graph_mode",
":",
"op_seed",
"=",
"ops",
".",
"get_default_graph",
"(",
")",
".",
"_last_id",
"else",
":",
"op_seed",
"=",
"context",
".",
"internal_operation_seed",
"(",
")",
"seeds",
"=",
"_truncate_seed",
"(",
"global_seed",
")",
",",
"_truncate_seed",
"(",
"op_seed",
")",
"else",
":",
"if",
"op_seed",
"is",
"not",
"None",
":",
"seeds",
"=",
"DEFAULT_GRAPH_SEED",
",",
"_truncate_seed",
"(",
"op_seed",
")",
"else",
":",
"seeds",
"=",
"None",
",",
"None",
"# Avoid (0, 0) as the C++ ops interpret it as nondeterminism, which would",
"# be unexpected since Python docs say nondeterminism is (None, None).",
"if",
"seeds",
"==",
"(",
"0",
",",
"0",
")",
":",
"return",
"(",
"0",
",",
"_MAXINT32",
")",
"return",
"seeds"
] | https://github.com/benoitsteiner/tensorflow-opencl/blob/cb7cb40a57fde5cfd4731bc551e82a1e2fef43a5/tensorflow/python/framework/random_seed.py#L35-L78 |
|
aws/lumberyard | f85344403c1c2e77ec8c75deb2c116e97b713217 | dev/Tools/Python/3.7.10/windows/Lib/site-packages/setuptools/command/bdist_egg.py | python | bdist_egg.call_command | (self, cmdname, **kw) | return cmd | Invoke reinitialized command `cmdname` with keyword args | Invoke reinitialized command `cmdname` with keyword args | [
"Invoke",
"reinitialized",
"command",
"cmdname",
"with",
"keyword",
"args"
] | def call_command(self, cmdname, **kw):
"""Invoke reinitialized command `cmdname` with keyword args"""
for dirname in INSTALL_DIRECTORY_ATTRS:
kw.setdefault(dirname, self.bdist_dir)
kw.setdefault('skip_build', self.skip_build)
kw.setdefault('dry_run', self.dry_run)
cmd = self.reinitialize_command(cmdname, **kw)
self.run_command(cmdname)
return cmd | [
"def",
"call_command",
"(",
"self",
",",
"cmdname",
",",
"*",
"*",
"kw",
")",
":",
"for",
"dirname",
"in",
"INSTALL_DIRECTORY_ATTRS",
":",
"kw",
".",
"setdefault",
"(",
"dirname",
",",
"self",
".",
"bdist_dir",
")",
"kw",
".",
"setdefault",
"(",
"'skip_build'",
",",
"self",
".",
"skip_build",
")",
"kw",
".",
"setdefault",
"(",
"'dry_run'",
",",
"self",
".",
"dry_run",
")",
"cmd",
"=",
"self",
".",
"reinitialize_command",
"(",
"cmdname",
",",
"*",
"*",
"kw",
")",
"self",
".",
"run_command",
"(",
"cmdname",
")",
"return",
"cmd"
] | https://github.com/aws/lumberyard/blob/f85344403c1c2e77ec8c75deb2c116e97b713217/dev/Tools/Python/3.7.10/windows/Lib/site-packages/setuptools/command/bdist_egg.py#L152-L160 |
|
CRYTEK/CRYENGINE | 232227c59a220cbbd311576f0fbeba7bb53b2a8c | Editor/Python/windows/Lib/site-packages/pip/req/req_set.py | python | RequirementSet.__init__ | (self, build_dir, src_dir, download_dir, upgrade=False,
ignore_installed=False, as_egg=False, target_dir=None,
ignore_dependencies=False, force_reinstall=False,
use_user_site=False, session=None, pycompile=True,
isolated=False, wheel_download_dir=None,
wheel_cache=None) | Create a RequirementSet.
:param wheel_download_dir: Where still-packed .whl files should be
written to. If None they are written to the download_dir parameter.
Separate to download_dir to permit only keeping wheel archives for
pip wheel.
:param download_dir: Where still packed archives should be written to.
If None they are not saved, and are deleted immediately after
unpacking.
:param wheel_cache: The pip wheel cache, for passing to
InstallRequirement. | Create a RequirementSet. | [
"Create",
"a",
"RequirementSet",
"."
] | def __init__(self, build_dir, src_dir, download_dir, upgrade=False,
ignore_installed=False, as_egg=False, target_dir=None,
ignore_dependencies=False, force_reinstall=False,
use_user_site=False, session=None, pycompile=True,
isolated=False, wheel_download_dir=None,
wheel_cache=None):
"""Create a RequirementSet.
:param wheel_download_dir: Where still-packed .whl files should be
written to. If None they are written to the download_dir parameter.
Separate to download_dir to permit only keeping wheel archives for
pip wheel.
:param download_dir: Where still packed archives should be written to.
If None they are not saved, and are deleted immediately after
unpacking.
:param wheel_cache: The pip wheel cache, for passing to
InstallRequirement.
"""
if session is None:
raise TypeError(
"RequirementSet() missing 1 required keyword argument: "
"'session'"
)
self.build_dir = build_dir
self.src_dir = src_dir
# XXX: download_dir and wheel_download_dir overlap semantically and may
# be combined if we're willing to have non-wheel archives present in
# the wheelhouse output by 'pip wheel'.
self.download_dir = download_dir
self.upgrade = upgrade
self.ignore_installed = ignore_installed
self.force_reinstall = force_reinstall
self.requirements = Requirements()
# Mapping of alias: real_name
self.requirement_aliases = {}
self.unnamed_requirements = []
self.ignore_dependencies = ignore_dependencies
self.successfully_downloaded = []
self.successfully_installed = []
self.reqs_to_cleanup = []
self.as_egg = as_egg
self.use_user_site = use_user_site
self.target_dir = target_dir # set from --target option
self.session = session
self.pycompile = pycompile
self.isolated = isolated
if wheel_download_dir:
wheel_download_dir = normalize_path(wheel_download_dir)
self.wheel_download_dir = wheel_download_dir
self._wheel_cache = wheel_cache
# Maps from install_req -> dependencies_of_install_req
self._dependencies = defaultdict(list) | [
"def",
"__init__",
"(",
"self",
",",
"build_dir",
",",
"src_dir",
",",
"download_dir",
",",
"upgrade",
"=",
"False",
",",
"ignore_installed",
"=",
"False",
",",
"as_egg",
"=",
"False",
",",
"target_dir",
"=",
"None",
",",
"ignore_dependencies",
"=",
"False",
",",
"force_reinstall",
"=",
"False",
",",
"use_user_site",
"=",
"False",
",",
"session",
"=",
"None",
",",
"pycompile",
"=",
"True",
",",
"isolated",
"=",
"False",
",",
"wheel_download_dir",
"=",
"None",
",",
"wheel_cache",
"=",
"None",
")",
":",
"if",
"session",
"is",
"None",
":",
"raise",
"TypeError",
"(",
"\"RequirementSet() missing 1 required keyword argument: \"",
"\"'session'\"",
")",
"self",
".",
"build_dir",
"=",
"build_dir",
"self",
".",
"src_dir",
"=",
"src_dir",
"# XXX: download_dir and wheel_download_dir overlap semantically and may",
"# be combined if we're willing to have non-wheel archives present in",
"# the wheelhouse output by 'pip wheel'.",
"self",
".",
"download_dir",
"=",
"download_dir",
"self",
".",
"upgrade",
"=",
"upgrade",
"self",
".",
"ignore_installed",
"=",
"ignore_installed",
"self",
".",
"force_reinstall",
"=",
"force_reinstall",
"self",
".",
"requirements",
"=",
"Requirements",
"(",
")",
"# Mapping of alias: real_name",
"self",
".",
"requirement_aliases",
"=",
"{",
"}",
"self",
".",
"unnamed_requirements",
"=",
"[",
"]",
"self",
".",
"ignore_dependencies",
"=",
"ignore_dependencies",
"self",
".",
"successfully_downloaded",
"=",
"[",
"]",
"self",
".",
"successfully_installed",
"=",
"[",
"]",
"self",
".",
"reqs_to_cleanup",
"=",
"[",
"]",
"self",
".",
"as_egg",
"=",
"as_egg",
"self",
".",
"use_user_site",
"=",
"use_user_site",
"self",
".",
"target_dir",
"=",
"target_dir",
"# set from --target option",
"self",
".",
"session",
"=",
"session",
"self",
".",
"pycompile",
"=",
"pycompile",
"self",
".",
"isolated",
"=",
"isolated",
"if",
"wheel_download_dir",
":",
"wheel_download_dir",
"=",
"normalize_path",
"(",
"wheel_download_dir",
")",
"self",
".",
"wheel_download_dir",
"=",
"wheel_download_dir",
"self",
".",
"_wheel_cache",
"=",
"wheel_cache",
"# Maps from install_req -> dependencies_of_install_req",
"self",
".",
"_dependencies",
"=",
"defaultdict",
"(",
"list",
")"
] | https://github.com/CRYTEK/CRYENGINE/blob/232227c59a220cbbd311576f0fbeba7bb53b2a8c/Editor/Python/windows/Lib/site-packages/pip/req/req_set.py#L138-L190 |
||
continental/ecal | 204dab80a24fe01abca62541133b311bf0c09608 | lang/python/core/ecal/core/publisher.py | python | MessagePublisher.set_qos | (self, qos) | return self.c_publisher.set_qos(qos) | set publisher quality of service
:param qos: 0 = default, 1 = best effort, 2 = reliable
:type qos: int | set publisher quality of service | [
"set",
"publisher",
"quality",
"of",
"service"
] | def set_qos(self, qos):
""" set publisher quality of service
:param qos: 0 = default, 1 = best effort, 2 = reliable
:type qos: int
"""
return self.c_publisher.set_qos(qos) | [
"def",
"set_qos",
"(",
"self",
",",
"qos",
")",
":",
"return",
"self",
".",
"c_publisher",
".",
"set_qos",
"(",
"qos",
")"
] | https://github.com/continental/ecal/blob/204dab80a24fe01abca62541133b311bf0c09608/lang/python/core/ecal/core/publisher.py#L52-L59 |
|
fasiondog/hikyuu | 842751aa25283f9fdafc6f560ea262f79e67a307 | hikyuu/shell/hkucmd.py | python | HKUShell.do_record | (self, arg) | Save future commands to filename: RECORD rose.cmd | Save future commands to filename: RECORD rose.cmd | [
"Save",
"future",
"commands",
"to",
"filename",
":",
"RECORD",
"rose",
".",
"cmd"
] | def do_record(self, arg):
'Save future commands to filename: RECORD rose.cmd'
self.file = open(arg, 'w') | [
"def",
"do_record",
"(",
"self",
",",
"arg",
")",
":",
"self",
".",
"file",
"=",
"open",
"(",
"arg",
",",
"'w'",
")"
] | https://github.com/fasiondog/hikyuu/blob/842751aa25283f9fdafc6f560ea262f79e67a307/hikyuu/shell/hkucmd.py#L91-L93 |
||
wlanjie/AndroidFFmpeg | 7baf9122f4b8e1c74e7baf4be5c422c7a5ba5aaf | tools/fdk-aac-build/armeabi/toolchain/lib/python2.7/multiprocessing/process.py | python | Process.start | (self) | Start child process | Start child process | [
"Start",
"child",
"process"
] | def start(self):
'''
Start child process
'''
assert self._popen is None, 'cannot start a process twice'
assert self._parent_pid == os.getpid(), \
'can only start a process object created by current process'
assert not _current_process._daemonic, \
'daemonic processes are not allowed to have children'
_cleanup()
if self._Popen is not None:
Popen = self._Popen
else:
from .forking import Popen
self._popen = Popen(self)
_current_process._children.add(self) | [
"def",
"start",
"(",
"self",
")",
":",
"assert",
"self",
".",
"_popen",
"is",
"None",
",",
"'cannot start a process twice'",
"assert",
"self",
".",
"_parent_pid",
"==",
"os",
".",
"getpid",
"(",
")",
",",
"'can only start a process object created by current process'",
"assert",
"not",
"_current_process",
".",
"_daemonic",
",",
"'daemonic processes are not allowed to have children'",
"_cleanup",
"(",
")",
"if",
"self",
".",
"_Popen",
"is",
"not",
"None",
":",
"Popen",
"=",
"self",
".",
"_Popen",
"else",
":",
"from",
".",
"forking",
"import",
"Popen",
"self",
".",
"_popen",
"=",
"Popen",
"(",
"self",
")",
"_current_process",
".",
"_children",
".",
"add",
"(",
"self",
")"
] | https://github.com/wlanjie/AndroidFFmpeg/blob/7baf9122f4b8e1c74e7baf4be5c422c7a5ba5aaf/tools/fdk-aac-build/armeabi/toolchain/lib/python2.7/multiprocessing/process.py#L116-L131 |
||
intel/llvm | e6d0547e9d99b5a56430c4749f6c7e328bf221ab | lldb/third_party/Python/module/pexpect-4.6/pexpect/screen.py | python | screen.clear_tab | (self) | Clears tab at the current position. | Clears tab at the current position. | [
"Clears",
"tab",
"at",
"the",
"current",
"position",
"."
] | def clear_tab (self): # <ESC>[g
'''Clears tab at the current position.'''
pass | [
"def",
"clear_tab",
"(",
"self",
")",
":",
"# <ESC>[g",
"pass"
] | https://github.com/intel/llvm/blob/e6d0547e9d99b5a56430c4749f6c7e328bf221ab/lldb/third_party/Python/module/pexpect-4.6/pexpect/screen.py#L417-L420 |
||
catboost/catboost | 167f64f237114a4d10b2b4ee42adb4569137debe | contrib/tools/cython/Cython/Distutils/old_build_ext.py | python | old_build_ext.cython_sources | (self, sources, extension) | return new_sources | Walk the list of source files in 'sources', looking for Cython
source files (.pyx and .py). Run Cython on all that are
found, and return a modified 'sources' list with Cython source
files replaced by the generated C (or C++) files. | Walk the list of source files in 'sources', looking for Cython
source files (.pyx and .py). Run Cython on all that are
found, and return a modified 'sources' list with Cython source
files replaced by the generated C (or C++) files. | [
"Walk",
"the",
"list",
"of",
"source",
"files",
"in",
"sources",
"looking",
"for",
"Cython",
"source",
"files",
"(",
".",
"pyx",
"and",
".",
"py",
")",
".",
"Run",
"Cython",
"on",
"all",
"that",
"are",
"found",
"and",
"return",
"a",
"modified",
"sources",
"list",
"with",
"Cython",
"source",
"files",
"replaced",
"by",
"the",
"generated",
"C",
"(",
"or",
"C",
"++",
")",
"files",
"."
] | def cython_sources(self, sources, extension):
"""
Walk the list of source files in 'sources', looking for Cython
source files (.pyx and .py). Run Cython on all that are
found, and return a modified 'sources' list with Cython source
files replaced by the generated C (or C++) files.
"""
try:
from Cython.Compiler.Main \
import CompilationOptions, \
default_options as cython_default_options, \
compile as cython_compile
from Cython.Compiler.Errors import PyrexError
except ImportError:
e = sys.exc_info()[1]
print("failed to import Cython: %s" % e)
raise DistutilsPlatformError("Cython does not appear to be installed")
new_sources = []
cython_sources = []
cython_targets = {}
# Setup create_list and cplus from the extension options if
# Cython.Distutils.extension.Extension is used, otherwise just
# use what was parsed from the command-line or the configuration file.
# cplus will also be set to true is extension.language is equal to
# 'C++' or 'c++'.
#try:
# create_listing = self.cython_create_listing or \
# extension.cython_create_listing
# cplus = self.cython_cplus or \
# extension.cython_cplus or \
# (extension.language != None and \
# extension.language.lower() == 'c++')
#except AttributeError:
# create_listing = self.cython_create_listing
# cplus = self.cython_cplus or \
# (extension.language != None and \
# extension.language.lower() == 'c++')
create_listing = self.cython_create_listing or \
getattr(extension, 'cython_create_listing', 0)
line_directives = self.cython_line_directives or \
getattr(extension, 'cython_line_directives', 0)
no_c_in_traceback = self.no_c_in_traceback or \
getattr(extension, 'no_c_in_traceback', 0)
cplus = self.cython_cplus or getattr(extension, 'cython_cplus', 0) or \
(extension.language and extension.language.lower() == 'c++')
cython_gen_pxi = self.cython_gen_pxi or getattr(extension, 'cython_gen_pxi', 0)
cython_gdb = self.cython_gdb or getattr(extension, 'cython_gdb', False)
cython_compile_time_env = self.cython_compile_time_env or \
getattr(extension, 'cython_compile_time_env', None)
# Set up the include_path for the Cython compiler:
# 1. Start with the command line option.
# 2. Add in any (unique) paths from the extension
# cython_include_dirs (if Cython.Distutils.extension is used).
# 3. Add in any (unique) paths from the extension include_dirs
includes = self.cython_include_dirs
try:
for i in extension.cython_include_dirs:
if not i in includes:
includes.append(i)
except AttributeError:
pass
# In case extension.include_dirs is a generator, evaluate it and keep
# result
extension.include_dirs = list(extension.include_dirs)
for i in extension.include_dirs:
if not i in includes:
includes.append(i)
# Set up Cython compiler directives:
# 1. Start with the command line option.
# 2. Add in any (unique) entries from the extension
# cython_directives (if Cython.Distutils.extension is used).
directives = self.cython_directives
if hasattr(extension, "cython_directives"):
directives.update(extension.cython_directives)
# Set the target_ext to '.c'. Cython will change this to '.cpp' if
# needed.
if cplus:
target_ext = '.cpp'
else:
target_ext = '.c'
# Decide whether to drop the generated C files into the temp dir
# or the source tree.
if not self.inplace and (self.cython_c_in_temp
or getattr(extension, 'cython_c_in_temp', 0)):
target_dir = os.path.join(self.build_temp, "pyrex")
for package_name in extension.name.split('.')[:-1]:
target_dir = os.path.join(target_dir, package_name)
else:
target_dir = None
newest_dependency = None
for source in sources:
(base, ext) = os.path.splitext(os.path.basename(source))
if ext == ".py":
# FIXME: we might want to special case this some more
ext = '.pyx'
if ext == ".pyx": # Cython source file
output_dir = target_dir or os.path.dirname(source)
new_sources.append(os.path.join(output_dir, base + target_ext))
cython_sources.append(source)
cython_targets[source] = new_sources[-1]
elif ext == '.pxi' or ext == '.pxd':
if newest_dependency is None \
or newer(source, newest_dependency):
newest_dependency = source
else:
new_sources.append(source)
if not cython_sources:
return new_sources
module_name = extension.name
for source in cython_sources:
target = cython_targets[source]
depends = [source] + list(extension.depends or ())
if(source[-4:].lower()==".pyx" and os.path.isfile(source[:-3]+"pxd")):
depends += [source[:-3]+"pxd"]
rebuild = self.force or newer_group(depends, target, 'newer')
if not rebuild and newest_dependency is not None:
rebuild = newer(newest_dependency, target)
if rebuild:
log.info("cythoning %s to %s", source, target)
self.mkpath(os.path.dirname(target))
if self.inplace:
output_dir = os.curdir
else:
output_dir = self.build_lib
options = CompilationOptions(cython_default_options,
use_listing_file = create_listing,
include_path = includes,
compiler_directives = directives,
output_file = target,
cplus = cplus,
emit_linenums = line_directives,
c_line_in_traceback = not no_c_in_traceback,
generate_pxi = cython_gen_pxi,
output_dir = output_dir,
gdb_debug = cython_gdb,
compile_time_env = cython_compile_time_env)
result = cython_compile(source, options=options,
full_module_name=module_name)
else:
log.info("skipping '%s' Cython extension (up-to-date)", target)
return new_sources | [
"def",
"cython_sources",
"(",
"self",
",",
"sources",
",",
"extension",
")",
":",
"try",
":",
"from",
"Cython",
".",
"Compiler",
".",
"Main",
"import",
"CompilationOptions",
",",
"default_options",
"as",
"cython_default_options",
",",
"compile",
"as",
"cython_compile",
"from",
"Cython",
".",
"Compiler",
".",
"Errors",
"import",
"PyrexError",
"except",
"ImportError",
":",
"e",
"=",
"sys",
".",
"exc_info",
"(",
")",
"[",
"1",
"]",
"print",
"(",
"\"failed to import Cython: %s\"",
"%",
"e",
")",
"raise",
"DistutilsPlatformError",
"(",
"\"Cython does not appear to be installed\"",
")",
"new_sources",
"=",
"[",
"]",
"cython_sources",
"=",
"[",
"]",
"cython_targets",
"=",
"{",
"}",
"# Setup create_list and cplus from the extension options if",
"# Cython.Distutils.extension.Extension is used, otherwise just",
"# use what was parsed from the command-line or the configuration file.",
"# cplus will also be set to true is extension.language is equal to",
"# 'C++' or 'c++'.",
"#try:",
"# create_listing = self.cython_create_listing or \\",
"# extension.cython_create_listing",
"# cplus = self.cython_cplus or \\",
"# extension.cython_cplus or \\",
"# (extension.language != None and \\",
"# extension.language.lower() == 'c++')",
"#except AttributeError:",
"# create_listing = self.cython_create_listing",
"# cplus = self.cython_cplus or \\",
"# (extension.language != None and \\",
"# extension.language.lower() == 'c++')",
"create_listing",
"=",
"self",
".",
"cython_create_listing",
"or",
"getattr",
"(",
"extension",
",",
"'cython_create_listing'",
",",
"0",
")",
"line_directives",
"=",
"self",
".",
"cython_line_directives",
"or",
"getattr",
"(",
"extension",
",",
"'cython_line_directives'",
",",
"0",
")",
"no_c_in_traceback",
"=",
"self",
".",
"no_c_in_traceback",
"or",
"getattr",
"(",
"extension",
",",
"'no_c_in_traceback'",
",",
"0",
")",
"cplus",
"=",
"self",
".",
"cython_cplus",
"or",
"getattr",
"(",
"extension",
",",
"'cython_cplus'",
",",
"0",
")",
"or",
"(",
"extension",
".",
"language",
"and",
"extension",
".",
"language",
".",
"lower",
"(",
")",
"==",
"'c++'",
")",
"cython_gen_pxi",
"=",
"self",
".",
"cython_gen_pxi",
"or",
"getattr",
"(",
"extension",
",",
"'cython_gen_pxi'",
",",
"0",
")",
"cython_gdb",
"=",
"self",
".",
"cython_gdb",
"or",
"getattr",
"(",
"extension",
",",
"'cython_gdb'",
",",
"False",
")",
"cython_compile_time_env",
"=",
"self",
".",
"cython_compile_time_env",
"or",
"getattr",
"(",
"extension",
",",
"'cython_compile_time_env'",
",",
"None",
")",
"# Set up the include_path for the Cython compiler:",
"# 1. Start with the command line option.",
"# 2. Add in any (unique) paths from the extension",
"# cython_include_dirs (if Cython.Distutils.extension is used).",
"# 3. Add in any (unique) paths from the extension include_dirs",
"includes",
"=",
"self",
".",
"cython_include_dirs",
"try",
":",
"for",
"i",
"in",
"extension",
".",
"cython_include_dirs",
":",
"if",
"not",
"i",
"in",
"includes",
":",
"includes",
".",
"append",
"(",
"i",
")",
"except",
"AttributeError",
":",
"pass",
"# In case extension.include_dirs is a generator, evaluate it and keep",
"# result",
"extension",
".",
"include_dirs",
"=",
"list",
"(",
"extension",
".",
"include_dirs",
")",
"for",
"i",
"in",
"extension",
".",
"include_dirs",
":",
"if",
"not",
"i",
"in",
"includes",
":",
"includes",
".",
"append",
"(",
"i",
")",
"# Set up Cython compiler directives:",
"# 1. Start with the command line option.",
"# 2. Add in any (unique) entries from the extension",
"# cython_directives (if Cython.Distutils.extension is used).",
"directives",
"=",
"self",
".",
"cython_directives",
"if",
"hasattr",
"(",
"extension",
",",
"\"cython_directives\"",
")",
":",
"directives",
".",
"update",
"(",
"extension",
".",
"cython_directives",
")",
"# Set the target_ext to '.c'. Cython will change this to '.cpp' if",
"# needed.",
"if",
"cplus",
":",
"target_ext",
"=",
"'.cpp'",
"else",
":",
"target_ext",
"=",
"'.c'",
"# Decide whether to drop the generated C files into the temp dir",
"# or the source tree.",
"if",
"not",
"self",
".",
"inplace",
"and",
"(",
"self",
".",
"cython_c_in_temp",
"or",
"getattr",
"(",
"extension",
",",
"'cython_c_in_temp'",
",",
"0",
")",
")",
":",
"target_dir",
"=",
"os",
".",
"path",
".",
"join",
"(",
"self",
".",
"build_temp",
",",
"\"pyrex\"",
")",
"for",
"package_name",
"in",
"extension",
".",
"name",
".",
"split",
"(",
"'.'",
")",
"[",
":",
"-",
"1",
"]",
":",
"target_dir",
"=",
"os",
".",
"path",
".",
"join",
"(",
"target_dir",
",",
"package_name",
")",
"else",
":",
"target_dir",
"=",
"None",
"newest_dependency",
"=",
"None",
"for",
"source",
"in",
"sources",
":",
"(",
"base",
",",
"ext",
")",
"=",
"os",
".",
"path",
".",
"splitext",
"(",
"os",
".",
"path",
".",
"basename",
"(",
"source",
")",
")",
"if",
"ext",
"==",
"\".py\"",
":",
"# FIXME: we might want to special case this some more",
"ext",
"=",
"'.pyx'",
"if",
"ext",
"==",
"\".pyx\"",
":",
"# Cython source file",
"output_dir",
"=",
"target_dir",
"or",
"os",
".",
"path",
".",
"dirname",
"(",
"source",
")",
"new_sources",
".",
"append",
"(",
"os",
".",
"path",
".",
"join",
"(",
"output_dir",
",",
"base",
"+",
"target_ext",
")",
")",
"cython_sources",
".",
"append",
"(",
"source",
")",
"cython_targets",
"[",
"source",
"]",
"=",
"new_sources",
"[",
"-",
"1",
"]",
"elif",
"ext",
"==",
"'.pxi'",
"or",
"ext",
"==",
"'.pxd'",
":",
"if",
"newest_dependency",
"is",
"None",
"or",
"newer",
"(",
"source",
",",
"newest_dependency",
")",
":",
"newest_dependency",
"=",
"source",
"else",
":",
"new_sources",
".",
"append",
"(",
"source",
")",
"if",
"not",
"cython_sources",
":",
"return",
"new_sources",
"module_name",
"=",
"extension",
".",
"name",
"for",
"source",
"in",
"cython_sources",
":",
"target",
"=",
"cython_targets",
"[",
"source",
"]",
"depends",
"=",
"[",
"source",
"]",
"+",
"list",
"(",
"extension",
".",
"depends",
"or",
"(",
")",
")",
"if",
"(",
"source",
"[",
"-",
"4",
":",
"]",
".",
"lower",
"(",
")",
"==",
"\".pyx\"",
"and",
"os",
".",
"path",
".",
"isfile",
"(",
"source",
"[",
":",
"-",
"3",
"]",
"+",
"\"pxd\"",
")",
")",
":",
"depends",
"+=",
"[",
"source",
"[",
":",
"-",
"3",
"]",
"+",
"\"pxd\"",
"]",
"rebuild",
"=",
"self",
".",
"force",
"or",
"newer_group",
"(",
"depends",
",",
"target",
",",
"'newer'",
")",
"if",
"not",
"rebuild",
"and",
"newest_dependency",
"is",
"not",
"None",
":",
"rebuild",
"=",
"newer",
"(",
"newest_dependency",
",",
"target",
")",
"if",
"rebuild",
":",
"log",
".",
"info",
"(",
"\"cythoning %s to %s\"",
",",
"source",
",",
"target",
")",
"self",
".",
"mkpath",
"(",
"os",
".",
"path",
".",
"dirname",
"(",
"target",
")",
")",
"if",
"self",
".",
"inplace",
":",
"output_dir",
"=",
"os",
".",
"curdir",
"else",
":",
"output_dir",
"=",
"self",
".",
"build_lib",
"options",
"=",
"CompilationOptions",
"(",
"cython_default_options",
",",
"use_listing_file",
"=",
"create_listing",
",",
"include_path",
"=",
"includes",
",",
"compiler_directives",
"=",
"directives",
",",
"output_file",
"=",
"target",
",",
"cplus",
"=",
"cplus",
",",
"emit_linenums",
"=",
"line_directives",
",",
"c_line_in_traceback",
"=",
"not",
"no_c_in_traceback",
",",
"generate_pxi",
"=",
"cython_gen_pxi",
",",
"output_dir",
"=",
"output_dir",
",",
"gdb_debug",
"=",
"cython_gdb",
",",
"compile_time_env",
"=",
"cython_compile_time_env",
")",
"result",
"=",
"cython_compile",
"(",
"source",
",",
"options",
"=",
"options",
",",
"full_module_name",
"=",
"module_name",
")",
"else",
":",
"log",
".",
"info",
"(",
"\"skipping '%s' Cython extension (up-to-date)\"",
",",
"target",
")",
"return",
"new_sources"
] | https://github.com/catboost/catboost/blob/167f64f237114a4d10b2b4ee42adb4569137debe/contrib/tools/cython/Cython/Distutils/old_build_ext.py#L197-L351 |
|
apache/mesos | 97d9a4063332aae3825d78de71611657e05cf5e2 | src/python/interface/src/mesos/interface/__init__.py | python | Scheduler.offerRescinded | (self, driver, offerId) | Invoked when an offer is no longer valid (e.g., the slave was lost or
another framework used resources in the offer.) If for whatever reason
an offer is never rescinded (e.g., dropped message, failing over
framework, etc.), a framework that attempts to launch tasks using an
invalid offer will receive TASK_LOST status updates for those tasks
(see Scheduler.resourceOffers). | Invoked when an offer is no longer valid (e.g., the slave was lost or
another framework used resources in the offer.) If for whatever reason
an offer is never rescinded (e.g., dropped message, failing over
framework, etc.), a framework that attempts to launch tasks using an
invalid offer will receive TASK_LOST status updates for those tasks
(see Scheduler.resourceOffers). | [
"Invoked",
"when",
"an",
"offer",
"is",
"no",
"longer",
"valid",
"(",
"e",
".",
"g",
".",
"the",
"slave",
"was",
"lost",
"or",
"another",
"framework",
"used",
"resources",
"in",
"the",
"offer",
".",
")",
"If",
"for",
"whatever",
"reason",
"an",
"offer",
"is",
"never",
"rescinded",
"(",
"e",
".",
"g",
".",
"dropped",
"message",
"failing",
"over",
"framework",
"etc",
".",
")",
"a",
"framework",
"that",
"attempts",
"to",
"launch",
"tasks",
"using",
"an",
"invalid",
"offer",
"will",
"receive",
"TASK_LOST",
"status",
"updates",
"for",
"those",
"tasks",
"(",
"see",
"Scheduler",
".",
"resourceOffers",
")",
"."
] | def offerRescinded(self, driver, offerId):
"""
Invoked when an offer is no longer valid (e.g., the slave was lost or
another framework used resources in the offer.) If for whatever reason
an offer is never rescinded (e.g., dropped message, failing over
framework, etc.), a framework that attempts to launch tasks using an
invalid offer will receive TASK_LOST status updates for those tasks
(see Scheduler.resourceOffers).
""" | [
"def",
"offerRescinded",
"(",
"self",
",",
"driver",
",",
"offerId",
")",
":"
] | https://github.com/apache/mesos/blob/97d9a4063332aae3825d78de71611657e05cf5e2/src/python/interface/src/mesos/interface/__init__.py#L78-L86 |
||
root-project/root | fcd3583bb14852bf2e8cd2415717cbaac0e75896 | main/python/cmdLineUtils.py | python | write | (string,indent=0,end="") | Use sys.stdout.write to write the string with an indentation
equal to indent and specifying the end character | Use sys.stdout.write to write the string with an indentation
equal to indent and specifying the end character | [
"Use",
"sys",
".",
"stdout",
".",
"write",
"to",
"write",
"the",
"string",
"with",
"an",
"indentation",
"equal",
"to",
"indent",
"and",
"specifying",
"the",
"end",
"character"
] | def write(string,indent=0,end=""):
"""Use sys.stdout.write to write the string with an indentation
equal to indent and specifying the end character"""
sys.stdout.write(" "*indent+string+end) | [
"def",
"write",
"(",
"string",
",",
"indent",
"=",
"0",
",",
"end",
"=",
"\"\"",
")",
":",
"sys",
".",
"stdout",
".",
"write",
"(",
"\" \"",
"*",
"indent",
"+",
"string",
"+",
"end",
")"
] | https://github.com/root-project/root/blob/fcd3583bb14852bf2e8cd2415717cbaac0e75896/main/python/cmdLineUtils.py#L908-L911 |
||
catboost/catboost | 167f64f237114a4d10b2b4ee42adb4569137debe | contrib/tools/python/src/Lib/logging/config.py | python | BaseConfigurator.cfg_convert | (self, value) | return d | Default converter for the cfg:// protocol. | Default converter for the cfg:// protocol. | [
"Default",
"converter",
"for",
"the",
"cfg",
":",
"//",
"protocol",
"."
] | def cfg_convert(self, value):
"""Default converter for the cfg:// protocol."""
rest = value
m = self.WORD_PATTERN.match(rest)
if m is None:
raise ValueError("Unable to convert %r" % value)
else:
rest = rest[m.end():]
d = self.config[m.groups()[0]]
#print d, rest
while rest:
m = self.DOT_PATTERN.match(rest)
if m:
d = d[m.groups()[0]]
else:
m = self.INDEX_PATTERN.match(rest)
if m:
idx = m.groups()[0]
if not self.DIGIT_PATTERN.match(idx):
d = d[idx]
else:
try:
n = int(idx) # try as number first (most likely)
d = d[n]
except TypeError:
d = d[idx]
if m:
rest = rest[m.end():]
else:
raise ValueError('Unable to convert '
'%r at %r' % (value, rest))
#rest should be empty
return d | [
"def",
"cfg_convert",
"(",
"self",
",",
"value",
")",
":",
"rest",
"=",
"value",
"m",
"=",
"self",
".",
"WORD_PATTERN",
".",
"match",
"(",
"rest",
")",
"if",
"m",
"is",
"None",
":",
"raise",
"ValueError",
"(",
"\"Unable to convert %r\"",
"%",
"value",
")",
"else",
":",
"rest",
"=",
"rest",
"[",
"m",
".",
"end",
"(",
")",
":",
"]",
"d",
"=",
"self",
".",
"config",
"[",
"m",
".",
"groups",
"(",
")",
"[",
"0",
"]",
"]",
"#print d, rest",
"while",
"rest",
":",
"m",
"=",
"self",
".",
"DOT_PATTERN",
".",
"match",
"(",
"rest",
")",
"if",
"m",
":",
"d",
"=",
"d",
"[",
"m",
".",
"groups",
"(",
")",
"[",
"0",
"]",
"]",
"else",
":",
"m",
"=",
"self",
".",
"INDEX_PATTERN",
".",
"match",
"(",
"rest",
")",
"if",
"m",
":",
"idx",
"=",
"m",
".",
"groups",
"(",
")",
"[",
"0",
"]",
"if",
"not",
"self",
".",
"DIGIT_PATTERN",
".",
"match",
"(",
"idx",
")",
":",
"d",
"=",
"d",
"[",
"idx",
"]",
"else",
":",
"try",
":",
"n",
"=",
"int",
"(",
"idx",
")",
"# try as number first (most likely)",
"d",
"=",
"d",
"[",
"n",
"]",
"except",
"TypeError",
":",
"d",
"=",
"d",
"[",
"idx",
"]",
"if",
"m",
":",
"rest",
"=",
"rest",
"[",
"m",
".",
"end",
"(",
")",
":",
"]",
"else",
":",
"raise",
"ValueError",
"(",
"'Unable to convert '",
"'%r at %r'",
"%",
"(",
"value",
",",
"rest",
")",
")",
"#rest should be empty",
"return",
"d"
] | https://github.com/catboost/catboost/blob/167f64f237114a4d10b2b4ee42adb4569137debe/contrib/tools/python/src/Lib/logging/config.py#L407-L439 |
|
widelands/widelands | e9f047d46a23d81312237d52eabf7d74e8de52d6 | utils/glossary_checks.py | python | load_glossary | (glossary_file, locale) | return result | Build a glossary from the given Transifex glossary csv file for the
given locale. | Build a glossary from the given Transifex glossary csv file for the
given locale. | [
"Build",
"a",
"glossary",
"from",
"the",
"given",
"Transifex",
"glossary",
"csv",
"file",
"for",
"the",
"given",
"locale",
"."
] | def load_glossary(glossary_file, locale):
"""Build a glossary from the given Transifex glossary csv file for the
given locale."""
result = []
counter = 0
term_index = 0
term_comment_index = 0
wordclass_index = 0
translation_index = 0
comment_index = 0
for row in read_csv_file(glossary_file):
# Detect the column indices
if counter == 0:
colum_counter = 0
for header in row:
if header == 'term':
term_index = colum_counter
elif header == 'comment':
term_comment_index = colum_counter
elif header == 'pos':
wordclass_index = colum_counter
elif header in ('translation_' + locale, locale):
translation_index = colum_counter
elif header == 'comment_' + locale:
comment_index = colum_counter
colum_counter = colum_counter + 1
# If there is a translation, parse the entry
# We also have some obsolete terms in the glossary that we want to
# filter out.
elif len(row[translation_index].strip()) > 0 and not row[term_comment_index].startswith('OBSOLETE'):
if translation_index == 0:
raise Exception(
'Locale %s is missing from glossary file.' % locale)
if comment_index == 0:
raise Exception(
'Comment field for locale %s is missing from glossary file.' % locale)
entry = GlossaryEntry()
entry.terms.append(row[term_index].strip())
if row[wordclass_index] == 'Noun':
plural = make_english_plural(entry.terms[0])
if len(plural) > 0:
entry.terms.append(plural)
elif row[wordclass_index] == 'Verb':
verb_forms = make_english_verb_forms(entry.terms[0])
for verb_form in verb_forms:
entry.terms.append(verb_form)
entry.translations.append(row[translation_index].strip())
# Misuse the comment field to provide a list of inflected forms.
# Otherwise, we would get tons of false positive hits in the checks
# later on and the translators would have our heads on a platter.
delimiter = '|'
if len(row[comment_index].strip()) > 1 and delimiter in row[comment_index]:
inflections = row[comment_index].split(delimiter)
for inflection in inflections:
entry.translations.append(inflection.strip())
result.append(entry)
counter = counter + 1
return result | [
"def",
"load_glossary",
"(",
"glossary_file",
",",
"locale",
")",
":",
"result",
"=",
"[",
"]",
"counter",
"=",
"0",
"term_index",
"=",
"0",
"term_comment_index",
"=",
"0",
"wordclass_index",
"=",
"0",
"translation_index",
"=",
"0",
"comment_index",
"=",
"0",
"for",
"row",
"in",
"read_csv_file",
"(",
"glossary_file",
")",
":",
"# Detect the column indices",
"if",
"counter",
"==",
"0",
":",
"colum_counter",
"=",
"0",
"for",
"header",
"in",
"row",
":",
"if",
"header",
"==",
"'term'",
":",
"term_index",
"=",
"colum_counter",
"elif",
"header",
"==",
"'comment'",
":",
"term_comment_index",
"=",
"colum_counter",
"elif",
"header",
"==",
"'pos'",
":",
"wordclass_index",
"=",
"colum_counter",
"elif",
"header",
"in",
"(",
"'translation_'",
"+",
"locale",
",",
"locale",
")",
":",
"translation_index",
"=",
"colum_counter",
"elif",
"header",
"==",
"'comment_'",
"+",
"locale",
":",
"comment_index",
"=",
"colum_counter",
"colum_counter",
"=",
"colum_counter",
"+",
"1",
"# If there is a translation, parse the entry",
"# We also have some obsolete terms in the glossary that we want to",
"# filter out.",
"elif",
"len",
"(",
"row",
"[",
"translation_index",
"]",
".",
"strip",
"(",
")",
")",
">",
"0",
"and",
"not",
"row",
"[",
"term_comment_index",
"]",
".",
"startswith",
"(",
"'OBSOLETE'",
")",
":",
"if",
"translation_index",
"==",
"0",
":",
"raise",
"Exception",
"(",
"'Locale %s is missing from glossary file.'",
"%",
"locale",
")",
"if",
"comment_index",
"==",
"0",
":",
"raise",
"Exception",
"(",
"'Comment field for locale %s is missing from glossary file.'",
"%",
"locale",
")",
"entry",
"=",
"GlossaryEntry",
"(",
")",
"entry",
".",
"terms",
".",
"append",
"(",
"row",
"[",
"term_index",
"]",
".",
"strip",
"(",
")",
")",
"if",
"row",
"[",
"wordclass_index",
"]",
"==",
"'Noun'",
":",
"plural",
"=",
"make_english_plural",
"(",
"entry",
".",
"terms",
"[",
"0",
"]",
")",
"if",
"len",
"(",
"plural",
")",
">",
"0",
":",
"entry",
".",
"terms",
".",
"append",
"(",
"plural",
")",
"elif",
"row",
"[",
"wordclass_index",
"]",
"==",
"'Verb'",
":",
"verb_forms",
"=",
"make_english_verb_forms",
"(",
"entry",
".",
"terms",
"[",
"0",
"]",
")",
"for",
"verb_form",
"in",
"verb_forms",
":",
"entry",
".",
"terms",
".",
"append",
"(",
"verb_form",
")",
"entry",
".",
"translations",
".",
"append",
"(",
"row",
"[",
"translation_index",
"]",
".",
"strip",
"(",
")",
")",
"# Misuse the comment field to provide a list of inflected forms.",
"# Otherwise, we would get tons of false positive hits in the checks",
"# later on and the translators would have our heads on a platter.",
"delimiter",
"=",
"'|'",
"if",
"len",
"(",
"row",
"[",
"comment_index",
"]",
".",
"strip",
"(",
")",
")",
">",
"1",
"and",
"delimiter",
"in",
"row",
"[",
"comment_index",
"]",
":",
"inflections",
"=",
"row",
"[",
"comment_index",
"]",
".",
"split",
"(",
"delimiter",
")",
"for",
"inflection",
"in",
"inflections",
":",
"entry",
".",
"translations",
".",
"append",
"(",
"inflection",
".",
"strip",
"(",
")",
")",
"result",
".",
"append",
"(",
"entry",
")",
"counter",
"=",
"counter",
"+",
"1",
"return",
"result"
] | https://github.com/widelands/widelands/blob/e9f047d46a23d81312237d52eabf7d74e8de52d6/utils/glossary_checks.py#L208-L268 |
|
KratosMultiphysics/Kratos | 0000833054ed0503424eb28205d6508d9ca6cbbc | applications/CoSimulationApplication/python_scripts/base_classes/co_simulation_io.py | python | CoSimulationIO.ImportCouplingInterface | (self, interface_config) | Imports coupling interface from an external solver
External solver sends, CoSimulation receives
@param interface_config <python dictionary> : configuration of the interface to be imported | Imports coupling interface from an external solver
External solver sends, CoSimulation receives | [
"Imports",
"coupling",
"interface",
"from",
"an",
"external",
"solver",
"External",
"solver",
"sends",
"CoSimulation",
"receives"
] | def ImportCouplingInterface(self, interface_config):
"""Imports coupling interface from an external solver
External solver sends, CoSimulation receives
@param interface_config <python dictionary> : configuration of the interface to be imported
"""
raise NotImplementedError("This function has to be implemented in the derived class!") | [
"def",
"ImportCouplingInterface",
"(",
"self",
",",
"interface_config",
")",
":",
"raise",
"NotImplementedError",
"(",
"\"This function has to be implemented in the derived class!\"",
")"
] | https://github.com/KratosMultiphysics/Kratos/blob/0000833054ed0503424eb28205d6508d9ca6cbbc/applications/CoSimulationApplication/python_scripts/base_classes/co_simulation_io.py#L26-L32 |
||
catboost/catboost | 167f64f237114a4d10b2b4ee42adb4569137debe | contrib/tools/python3/src/Lib/urllib/request.py | python | localhost | () | return _localhost | Return the IP address of the magic hostname 'localhost'. | Return the IP address of the magic hostname 'localhost'. | [
"Return",
"the",
"IP",
"address",
"of",
"the",
"magic",
"hostname",
"localhost",
"."
] | def localhost():
"""Return the IP address of the magic hostname 'localhost'."""
global _localhost
if _localhost is None:
_localhost = socket.gethostbyname('localhost')
return _localhost | [
"def",
"localhost",
"(",
")",
":",
"global",
"_localhost",
"if",
"_localhost",
"is",
"None",
":",
"_localhost",
"=",
"socket",
".",
"gethostbyname",
"(",
"'localhost'",
")",
"return",
"_localhost"
] | https://github.com/catboost/catboost/blob/167f64f237114a4d10b2b4ee42adb4569137debe/contrib/tools/python3/src/Lib/urllib/request.py#L2353-L2358 |
|
tensorflow/tensorflow | 419e3a6b650ea4bd1b0cba23c4348f8a69f3272e | tensorflow/python/ops/linalg/sparse/sparse_csr_matrix_ops.py | python | matmul | (a,
b,
transpose_a=False,
transpose_b=False,
adjoint_a=False,
adjoint_b=False,
name=None) | Perform a sparse matrix matmul between `a` and `b`.
Performs a contraction between `a` and `b` along the two innermost dimensions.
If both `a` and `b` are instances of `SparseMatrix`, returns a new instance
of `SparseMatrix` (same type as `a`). If one is not an instance of
`SparseMatrix`, returns a dense `Tensor`:
```
c = opA(a) . opB(b)
```
where `opA` (resp. `opB`) is the transpose or hermitian transpose depending
on the values of `transpose_a` (resp. `transpose_b`) and `adjoint_a`
(resp. `adjoint_b`).
Args:
a: `Tensor` or `SparseMatrix`, having rank `2` or `3`.
b: `Tensor` or `SparseMatrix`, having rank `2` or `3`.
transpose_a: Python `bool`.
transpose_b: Python `bool`.
adjoint_a: Python `bool`.
adjoint_b: Python `bool`.
name: Optional name to use when creating ops.
Returns:
A `SparseMatrix` if both `a` and `b` are instances of `SparseMatrix`,
otherwise a dense `Tensor`. | Perform a sparse matrix matmul between `a` and `b`. | [
"Perform",
"a",
"sparse",
"matrix",
"matmul",
"between",
"a",
"and",
"b",
"."
] | def matmul(a,
b,
transpose_a=False,
transpose_b=False,
adjoint_a=False,
adjoint_b=False,
name=None):
"""Perform a sparse matrix matmul between `a` and `b`.
Performs a contraction between `a` and `b` along the two innermost dimensions.
If both `a` and `b` are instances of `SparseMatrix`, returns a new instance
of `SparseMatrix` (same type as `a`). If one is not an instance of
`SparseMatrix`, returns a dense `Tensor`:
```
c = opA(a) . opB(b)
```
where `opA` (resp. `opB`) is the transpose or hermitian transpose depending
on the values of `transpose_a` (resp. `transpose_b`) and `adjoint_a`
(resp. `adjoint_b`).
Args:
a: `Tensor` or `SparseMatrix`, having rank `2` or `3`.
b: `Tensor` or `SparseMatrix`, having rank `2` or `3`.
transpose_a: Python `bool`.
transpose_b: Python `bool`.
adjoint_a: Python `bool`.
adjoint_b: Python `bool`.
name: Optional name to use when creating ops.
Returns:
A `SparseMatrix` if both `a` and `b` are instances of `SparseMatrix`,
otherwise a dense `Tensor`.
"""
if not isinstance(a, SparseMatrix) and not isinstance(b, SparseMatrix):
return math_ops.matmul(
a,
b,
transpose_a=transpose_a,
transpose_b=transpose_b,
adjoint_a=adjoint_a,
adjoint_b=adjoint_b,
name=name)
# pylint: disable=protected-access
a_matrix = a._matrix if isinstance(a, SparseMatrix) else a
b_matrix = b._matrix if isinstance(b, SparseMatrix) else b
with ops.name_scope(name, "SparseMatrixMatMul", [a_matrix, b_matrix]):
if isinstance(a, SparseMatrix) and isinstance(b, SparseMatrix):
if not (isinstance(a, type(b)) or isinstance(b, type(a))):
raise TypeError("SparseMatrix types don't inherit from each other: "
"%s and %s" % (type(a), type(b)))
c = sm_ops.sparse_matrix_sparse_mat_mul(
a_matrix,
b_matrix,
transpose_a=transpose_a,
transpose_b=transpose_b,
adjoint_a=adjoint_a,
adjoint_b=adjoint_b,
type=a.dtype)
# In eager mode, shape inference functions are not called, and the output
# shape is not set. We have to infer the output shape here.
# TODO(penporn): Set this from the C++ kernel instead.
c_handle = matmul_shape_inference(a_matrix, b_matrix, c, transpose_a,
transpose_b, adjoint_a, adjoint_b)
return a._from_matrix(c, handle_data=c_handle)
elif isinstance(a, SparseMatrix):
return sm_ops.sparse_matrix_mat_mul(
a_matrix,
b,
transpose_a=transpose_a,
transpose_b=transpose_b,
adjoint_a=adjoint_a,
adjoint_b=adjoint_b)
else:
# opA(A) . opB(B) = t(nopB(B) . nopA(A))
if not adjoint_a and not adjoint_b:
return sm_ops.sparse_matrix_mat_mul(
b_matrix,
a,
transpose_a=not transpose_b,
transpose_b=not transpose_a,
transpose_output=True)
elif not transpose_a and not transpose_b:
return sm_ops.sparse_matrix_mat_mul(
b_matrix,
a,
adjoint_a=not adjoint_b,
adjoint_b=not adjoint_a,
transpose_output=True,
conjugate_output=True)
else:
return sm_ops.sparse_matrix_mat_mul(
b_matrix,
math_ops.conj(a),
transpose_output=True,
conjugate_output=adjoint_b) | [
"def",
"matmul",
"(",
"a",
",",
"b",
",",
"transpose_a",
"=",
"False",
",",
"transpose_b",
"=",
"False",
",",
"adjoint_a",
"=",
"False",
",",
"adjoint_b",
"=",
"False",
",",
"name",
"=",
"None",
")",
":",
"if",
"not",
"isinstance",
"(",
"a",
",",
"SparseMatrix",
")",
"and",
"not",
"isinstance",
"(",
"b",
",",
"SparseMatrix",
")",
":",
"return",
"math_ops",
".",
"matmul",
"(",
"a",
",",
"b",
",",
"transpose_a",
"=",
"transpose_a",
",",
"transpose_b",
"=",
"transpose_b",
",",
"adjoint_a",
"=",
"adjoint_a",
",",
"adjoint_b",
"=",
"adjoint_b",
",",
"name",
"=",
"name",
")",
"# pylint: disable=protected-access",
"a_matrix",
"=",
"a",
".",
"_matrix",
"if",
"isinstance",
"(",
"a",
",",
"SparseMatrix",
")",
"else",
"a",
"b_matrix",
"=",
"b",
".",
"_matrix",
"if",
"isinstance",
"(",
"b",
",",
"SparseMatrix",
")",
"else",
"b",
"with",
"ops",
".",
"name_scope",
"(",
"name",
",",
"\"SparseMatrixMatMul\"",
",",
"[",
"a_matrix",
",",
"b_matrix",
"]",
")",
":",
"if",
"isinstance",
"(",
"a",
",",
"SparseMatrix",
")",
"and",
"isinstance",
"(",
"b",
",",
"SparseMatrix",
")",
":",
"if",
"not",
"(",
"isinstance",
"(",
"a",
",",
"type",
"(",
"b",
")",
")",
"or",
"isinstance",
"(",
"b",
",",
"type",
"(",
"a",
")",
")",
")",
":",
"raise",
"TypeError",
"(",
"\"SparseMatrix types don't inherit from each other: \"",
"\"%s and %s\"",
"%",
"(",
"type",
"(",
"a",
")",
",",
"type",
"(",
"b",
")",
")",
")",
"c",
"=",
"sm_ops",
".",
"sparse_matrix_sparse_mat_mul",
"(",
"a_matrix",
",",
"b_matrix",
",",
"transpose_a",
"=",
"transpose_a",
",",
"transpose_b",
"=",
"transpose_b",
",",
"adjoint_a",
"=",
"adjoint_a",
",",
"adjoint_b",
"=",
"adjoint_b",
",",
"type",
"=",
"a",
".",
"dtype",
")",
"# In eager mode, shape inference functions are not called, and the output",
"# shape is not set. We have to infer the output shape here.",
"# TODO(penporn): Set this from the C++ kernel instead.",
"c_handle",
"=",
"matmul_shape_inference",
"(",
"a_matrix",
",",
"b_matrix",
",",
"c",
",",
"transpose_a",
",",
"transpose_b",
",",
"adjoint_a",
",",
"adjoint_b",
")",
"return",
"a",
".",
"_from_matrix",
"(",
"c",
",",
"handle_data",
"=",
"c_handle",
")",
"elif",
"isinstance",
"(",
"a",
",",
"SparseMatrix",
")",
":",
"return",
"sm_ops",
".",
"sparse_matrix_mat_mul",
"(",
"a_matrix",
",",
"b",
",",
"transpose_a",
"=",
"transpose_a",
",",
"transpose_b",
"=",
"transpose_b",
",",
"adjoint_a",
"=",
"adjoint_a",
",",
"adjoint_b",
"=",
"adjoint_b",
")",
"else",
":",
"# opA(A) . opB(B) = t(nopB(B) . nopA(A))",
"if",
"not",
"adjoint_a",
"and",
"not",
"adjoint_b",
":",
"return",
"sm_ops",
".",
"sparse_matrix_mat_mul",
"(",
"b_matrix",
",",
"a",
",",
"transpose_a",
"=",
"not",
"transpose_b",
",",
"transpose_b",
"=",
"not",
"transpose_a",
",",
"transpose_output",
"=",
"True",
")",
"elif",
"not",
"transpose_a",
"and",
"not",
"transpose_b",
":",
"return",
"sm_ops",
".",
"sparse_matrix_mat_mul",
"(",
"b_matrix",
",",
"a",
",",
"adjoint_a",
"=",
"not",
"adjoint_b",
",",
"adjoint_b",
"=",
"not",
"adjoint_a",
",",
"transpose_output",
"=",
"True",
",",
"conjugate_output",
"=",
"True",
")",
"else",
":",
"return",
"sm_ops",
".",
"sparse_matrix_mat_mul",
"(",
"b_matrix",
",",
"math_ops",
".",
"conj",
"(",
"a",
")",
",",
"transpose_output",
"=",
"True",
",",
"conjugate_output",
"=",
"adjoint_b",
")"
] | https://github.com/tensorflow/tensorflow/blob/419e3a6b650ea4bd1b0cba23c4348f8a69f3272e/tensorflow/python/ops/linalg/sparse/sparse_csr_matrix_ops.py#L141-L239 |
||
msitt/blpapi-python | bebcf43668c9e5f5467b1f685f9baebbfc45bc87 | src/blpapi/exception.py | python | _ExceptionUtil.raiseOnError | (errorCode, description=None) | Throw the appropriate exception for the specified 'errorCode' if the
'errorCode != 0'. | Throw the appropriate exception for the specified 'errorCode' if the
'errorCode != 0'. | [
"Throw",
"the",
"appropriate",
"exception",
"for",
"the",
"specified",
"errorCode",
"if",
"the",
"errorCode",
"!",
"=",
"0",
"."
] | def raiseOnError(errorCode, description=None):
"""Throw the appropriate exception for the specified 'errorCode' if the
'errorCode != 0'.
"""
if errorCode:
_ExceptionUtil.raiseException(errorCode, description) | [
"def",
"raiseOnError",
"(",
"errorCode",
",",
"description",
"=",
"None",
")",
":",
"if",
"errorCode",
":",
"_ExceptionUtil",
".",
"raiseException",
"(",
"errorCode",
",",
"description",
")"
] | https://github.com/msitt/blpapi-python/blob/bebcf43668c9e5f5467b1f685f9baebbfc45bc87/src/blpapi/exception.py#L141-L146 |
||
gimli-org/gimli | 17aa2160de9b15ababd9ef99e89b1bc3277bbb23 | pygimli/physics/sNMR/mrs.py | python | MRS.loadMRSD | (self, filename, usereal=False, mint=0., maxt=2.0) | Load mrsd (MRS data) file: not really used as in MRSD. | Load mrsd (MRS data) file: not really used as in MRSD. | [
"Load",
"mrsd",
"(",
"MRS",
"data",
")",
"file",
":",
"not",
"really",
"used",
"as",
"in",
"MRSD",
"."
] | def loadMRSD(self, filename, usereal=False, mint=0., maxt=2.0):
"""Load mrsd (MRS data) file: not really used as in MRSD."""
from scipy.io import loadmat # loading Matlab mat files
print("Currently not using mint/maxt & usereal:", mint, maxt, usereal)
pl = loadmat(filename, struct_as_record=False,
squeeze_me=True)['proclog']
self.q = np.array([q.q for q in pl.Q])
self.t = pl.Q[0].rx.sig[0].t + pl.Q[0].timing.tau_dead1
nq = len(pl.Q)
nt = len(self.t)
self.dcube = np.zeros((nq, nt))
for i in range(nq):
self.dcube[i, :] = np.abs(pl.Q[i].rx.sig[1].V)
self.ecube = np.ones((nq, nt))*20e-9 | [
"def",
"loadMRSD",
"(",
"self",
",",
"filename",
",",
"usereal",
"=",
"False",
",",
"mint",
"=",
"0.",
",",
"maxt",
"=",
"2.0",
")",
":",
"from",
"scipy",
".",
"io",
"import",
"loadmat",
"# loading Matlab mat files",
"print",
"(",
"\"Currently not using mint/maxt & usereal:\"",
",",
"mint",
",",
"maxt",
",",
"usereal",
")",
"pl",
"=",
"loadmat",
"(",
"filename",
",",
"struct_as_record",
"=",
"False",
",",
"squeeze_me",
"=",
"True",
")",
"[",
"'proclog'",
"]",
"self",
".",
"q",
"=",
"np",
".",
"array",
"(",
"[",
"q",
".",
"q",
"for",
"q",
"in",
"pl",
".",
"Q",
"]",
")",
"self",
".",
"t",
"=",
"pl",
".",
"Q",
"[",
"0",
"]",
".",
"rx",
".",
"sig",
"[",
"0",
"]",
".",
"t",
"+",
"pl",
".",
"Q",
"[",
"0",
"]",
".",
"timing",
".",
"tau_dead1",
"nq",
"=",
"len",
"(",
"pl",
".",
"Q",
")",
"nt",
"=",
"len",
"(",
"self",
".",
"t",
")",
"self",
".",
"dcube",
"=",
"np",
".",
"zeros",
"(",
"(",
"nq",
",",
"nt",
")",
")",
"for",
"i",
"in",
"range",
"(",
"nq",
")",
":",
"self",
".",
"dcube",
"[",
"i",
",",
":",
"]",
"=",
"np",
".",
"abs",
"(",
"pl",
".",
"Q",
"[",
"i",
"]",
".",
"rx",
".",
"sig",
"[",
"1",
"]",
".",
"V",
")",
"self",
".",
"ecube",
"=",
"np",
".",
"ones",
"(",
"(",
"nq",
",",
"nt",
")",
")",
"*",
"20e-9"
] | https://github.com/gimli-org/gimli/blob/17aa2160de9b15ababd9ef99e89b1bc3277bbb23/pygimli/physics/sNMR/mrs.py#L241-L255 |
||
catboost/catboost | 167f64f237114a4d10b2b4ee42adb4569137debe | contrib/python/tornado/tornado-6/tornado/template.py | python | Template.__init__ | (
self,
template_string: Union[str, bytes],
name: str = "<string>",
loader: Optional["BaseLoader"] = None,
compress_whitespace: Union[bool, _UnsetMarker] = _UNSET,
autoescape: Optional[Union[str, _UnsetMarker]] = _UNSET,
whitespace: Optional[str] = None,
) | Construct a Template.
:arg str template_string: the contents of the template file.
:arg str name: the filename from which the template was loaded
(used for error message).
:arg tornado.template.BaseLoader loader: the `~tornado.template.BaseLoader` responsible
for this template, used to resolve ``{% include %}`` and ``{% extend %}`` directives.
:arg bool compress_whitespace: Deprecated since Tornado 4.3.
Equivalent to ``whitespace="single"`` if true and
``whitespace="all"`` if false.
:arg str autoescape: The name of a function in the template
namespace, or ``None`` to disable escaping by default.
:arg str whitespace: A string specifying treatment of whitespace;
see `filter_whitespace` for options.
.. versionchanged:: 4.3
Added ``whitespace`` parameter; deprecated ``compress_whitespace``. | Construct a Template. | [
"Construct",
"a",
"Template",
"."
] | def __init__(
self,
template_string: Union[str, bytes],
name: str = "<string>",
loader: Optional["BaseLoader"] = None,
compress_whitespace: Union[bool, _UnsetMarker] = _UNSET,
autoescape: Optional[Union[str, _UnsetMarker]] = _UNSET,
whitespace: Optional[str] = None,
) -> None:
"""Construct a Template.
:arg str template_string: the contents of the template file.
:arg str name: the filename from which the template was loaded
(used for error message).
:arg tornado.template.BaseLoader loader: the `~tornado.template.BaseLoader` responsible
for this template, used to resolve ``{% include %}`` and ``{% extend %}`` directives.
:arg bool compress_whitespace: Deprecated since Tornado 4.3.
Equivalent to ``whitespace="single"`` if true and
``whitespace="all"`` if false.
:arg str autoescape: The name of a function in the template
namespace, or ``None`` to disable escaping by default.
:arg str whitespace: A string specifying treatment of whitespace;
see `filter_whitespace` for options.
.. versionchanged:: 4.3
Added ``whitespace`` parameter; deprecated ``compress_whitespace``.
"""
self.name = escape.native_str(name)
if compress_whitespace is not _UNSET:
# Convert deprecated compress_whitespace (bool) to whitespace (str).
if whitespace is not None:
raise Exception("cannot set both whitespace and compress_whitespace")
whitespace = "single" if compress_whitespace else "all"
if whitespace is None:
if loader and loader.whitespace:
whitespace = loader.whitespace
else:
# Whitespace defaults by filename.
if name.endswith(".html") or name.endswith(".js"):
whitespace = "single"
else:
whitespace = "all"
# Validate the whitespace setting.
assert whitespace is not None
filter_whitespace(whitespace, "")
if not isinstance(autoescape, _UnsetMarker):
self.autoescape = autoescape # type: Optional[str]
elif loader:
self.autoescape = loader.autoescape
else:
self.autoescape = _DEFAULT_AUTOESCAPE
self.namespace = loader.namespace if loader else {}
reader = _TemplateReader(name, escape.native_str(template_string), whitespace)
self.file = _File(self, _parse(reader, self))
self.code = self._generate_python(loader)
self.loader = loader
try:
# Under python2.5, the fake filename used here must match
# the module name used in __name__ below.
# The dont_inherit flag prevents template.py's future imports
# from being applied to the generated code.
self.compiled = compile(
escape.to_unicode(self.code),
"%s.generated.py" % self.name.replace(".", "_"),
"exec",
dont_inherit=True,
)
except Exception:
formatted_code = _format_code(self.code).rstrip()
app_log.error("%s code:\n%s", self.name, formatted_code)
raise | [
"def",
"__init__",
"(",
"self",
",",
"template_string",
":",
"Union",
"[",
"str",
",",
"bytes",
"]",
",",
"name",
":",
"str",
"=",
"\"<string>\"",
",",
"loader",
":",
"Optional",
"[",
"\"BaseLoader\"",
"]",
"=",
"None",
",",
"compress_whitespace",
":",
"Union",
"[",
"bool",
",",
"_UnsetMarker",
"]",
"=",
"_UNSET",
",",
"autoescape",
":",
"Optional",
"[",
"Union",
"[",
"str",
",",
"_UnsetMarker",
"]",
"]",
"=",
"_UNSET",
",",
"whitespace",
":",
"Optional",
"[",
"str",
"]",
"=",
"None",
",",
")",
"->",
"None",
":",
"self",
".",
"name",
"=",
"escape",
".",
"native_str",
"(",
"name",
")",
"if",
"compress_whitespace",
"is",
"not",
"_UNSET",
":",
"# Convert deprecated compress_whitespace (bool) to whitespace (str).",
"if",
"whitespace",
"is",
"not",
"None",
":",
"raise",
"Exception",
"(",
"\"cannot set both whitespace and compress_whitespace\"",
")",
"whitespace",
"=",
"\"single\"",
"if",
"compress_whitespace",
"else",
"\"all\"",
"if",
"whitespace",
"is",
"None",
":",
"if",
"loader",
"and",
"loader",
".",
"whitespace",
":",
"whitespace",
"=",
"loader",
".",
"whitespace",
"else",
":",
"# Whitespace defaults by filename.",
"if",
"name",
".",
"endswith",
"(",
"\".html\"",
")",
"or",
"name",
".",
"endswith",
"(",
"\".js\"",
")",
":",
"whitespace",
"=",
"\"single\"",
"else",
":",
"whitespace",
"=",
"\"all\"",
"# Validate the whitespace setting.",
"assert",
"whitespace",
"is",
"not",
"None",
"filter_whitespace",
"(",
"whitespace",
",",
"\"\"",
")",
"if",
"not",
"isinstance",
"(",
"autoescape",
",",
"_UnsetMarker",
")",
":",
"self",
".",
"autoescape",
"=",
"autoescape",
"# type: Optional[str]",
"elif",
"loader",
":",
"self",
".",
"autoescape",
"=",
"loader",
".",
"autoescape",
"else",
":",
"self",
".",
"autoescape",
"=",
"_DEFAULT_AUTOESCAPE",
"self",
".",
"namespace",
"=",
"loader",
".",
"namespace",
"if",
"loader",
"else",
"{",
"}",
"reader",
"=",
"_TemplateReader",
"(",
"name",
",",
"escape",
".",
"native_str",
"(",
"template_string",
")",
",",
"whitespace",
")",
"self",
".",
"file",
"=",
"_File",
"(",
"self",
",",
"_parse",
"(",
"reader",
",",
"self",
")",
")",
"self",
".",
"code",
"=",
"self",
".",
"_generate_python",
"(",
"loader",
")",
"self",
".",
"loader",
"=",
"loader",
"try",
":",
"# Under python2.5, the fake filename used here must match",
"# the module name used in __name__ below.",
"# The dont_inherit flag prevents template.py's future imports",
"# from being applied to the generated code.",
"self",
".",
"compiled",
"=",
"compile",
"(",
"escape",
".",
"to_unicode",
"(",
"self",
".",
"code",
")",
",",
"\"%s.generated.py\"",
"%",
"self",
".",
"name",
".",
"replace",
"(",
"\".\"",
",",
"\"_\"",
")",
",",
"\"exec\"",
",",
"dont_inherit",
"=",
"True",
",",
")",
"except",
"Exception",
":",
"formatted_code",
"=",
"_format_code",
"(",
"self",
".",
"code",
")",
".",
"rstrip",
"(",
")",
"app_log",
".",
"error",
"(",
"\"%s code:\\n%s\"",
",",
"self",
".",
"name",
",",
"formatted_code",
")",
"raise"
] | https://github.com/catboost/catboost/blob/167f64f237114a4d10b2b4ee42adb4569137debe/contrib/python/tornado/tornado-6/tornado/template.py#L262-L335 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.