nwo stringlengths 5 86 | sha stringlengths 40 40 | path stringlengths 4 189 | language stringclasses 1
value | identifier stringlengths 1 94 | parameters stringlengths 2 4.03k | argument_list stringclasses 1
value | return_statement stringlengths 0 11.5k | docstring stringlengths 1 33.2k | docstring_summary stringlengths 0 5.15k | docstring_tokens list | function stringlengths 34 151k | function_tokens list | url stringlengths 90 278 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
catboost/catboost | 167f64f237114a4d10b2b4ee42adb4569137debe | contrib/tools/python3/src/Lib/smtplib.py | python | SMTP.auth_cram_md5 | (self, challenge=None) | return self.user + " " + hmac.HMAC(
self.password.encode('ascii'), challenge, 'md5').hexdigest() | Authobject to use with CRAM-MD5 authentication. Requires self.user
and self.password to be set. | Authobject to use with CRAM-MD5 authentication. Requires self.user
and self.password to be set. | [
"Authobject",
"to",
"use",
"with",
"CRAM",
"-",
"MD5",
"authentication",
".",
"Requires",
"self",
".",
"user",
"and",
"self",
".",
"password",
"to",
"be",
"set",
"."
] | def auth_cram_md5(self, challenge=None):
""" Authobject to use with CRAM-MD5 authentication. Requires self.user
and self.password to be set."""
# CRAM-MD5 does not support initial-response.
if challenge is None:
return None
return self.user + " " + hmac.HMAC(
... | [
"def",
"auth_cram_md5",
"(",
"self",
",",
"challenge",
"=",
"None",
")",
":",
"# CRAM-MD5 does not support initial-response.",
"if",
"challenge",
"is",
"None",
":",
"return",
"None",
"return",
"self",
".",
"user",
"+",
"\" \"",
"+",
"hmac",
".",
"HMAC",
"(",
... | https://github.com/catboost/catboost/blob/167f64f237114a4d10b2b4ee42adb4569137debe/contrib/tools/python3/src/Lib/smtplib.py#L664-L671 | |
albertz/openlierox | d316c14a8eb57848ef56e9bfa7b23a56f694a51b | tools/DedicatedServerVideo/gdata/tlslite/TLSRecordLayer.py | python | TLSRecordLayer.getCipherImplementation | (self) | return self._writeState.encContext.implementation | Get the name of the cipher implementation used with
this connection.
@rtype: str
@return: The name of the cipher implementation used with
this connection. Either 'python', 'cryptlib', 'openssl',
or 'pycrypto'. | Get the name of the cipher implementation used with
this connection. | [
"Get",
"the",
"name",
"of",
"the",
"cipher",
"implementation",
"used",
"with",
"this",
"connection",
"."
] | def getCipherImplementation(self):
"""Get the name of the cipher implementation used with
this connection.
@rtype: str
@return: The name of the cipher implementation used with
this connection. Either 'python', 'cryptlib', 'openssl',
or 'pycrypto'.
"""
if... | [
"def",
"getCipherImplementation",
"(",
"self",
")",
":",
"if",
"not",
"self",
".",
"_writeState",
".",
"encContext",
":",
"return",
"None",
"return",
"self",
".",
"_writeState",
".",
"encContext",
".",
"implementation"
] | https://github.com/albertz/openlierox/blob/d316c14a8eb57848ef56e9bfa7b23a56f694a51b/tools/DedicatedServerVideo/gdata/tlslite/TLSRecordLayer.py#L354-L365 | |
francinexue/xuefu | b6ff79747a42e020588c0c0a921048e08fe4680c | ctpx/ctp2/ctptd.py | python | CtpTd.onRspQryBrokerTradingAlgos | (self, BrokerTradingAlgosField, RspInfoField, requestId, final) | 请求查询经纪公司交易算法响应 | 请求查询经纪公司交易算法响应 | [
"请求查询经纪公司交易算法响应"
] | def onRspQryBrokerTradingAlgos(self, BrokerTradingAlgosField, RspInfoField, requestId, final):
"""请求查询经纪公司交易算法响应"""
pass | [
"def",
"onRspQryBrokerTradingAlgos",
"(",
"self",
",",
"BrokerTradingAlgosField",
",",
"RspInfoField",
",",
"requestId",
",",
"final",
")",
":",
"pass"
] | https://github.com/francinexue/xuefu/blob/b6ff79747a42e020588c0c0a921048e08fe4680c/ctpx/ctp2/ctptd.py#L451-L453 | ||
may0324/DeepCompression-caffe | 0aff6c1287bda4cfc7f378ed8a16524e1afabd8c | python/caffe/draw.py | python | choose_color_by_layertype | (layertype) | return color | Define colors for nodes based on the layer type. | Define colors for nodes based on the layer type. | [
"Define",
"colors",
"for",
"nodes",
"based",
"on",
"the",
"layer",
"type",
"."
] | def choose_color_by_layertype(layertype):
"""Define colors for nodes based on the layer type.
"""
color = '#6495ED' # Default
if layertype == 'Convolution' or layertype == 'Deconvolution':
color = '#FF5050'
elif layertype == 'Pooling':
color = '#FF9900'
elif layertype == 'InnerP... | [
"def",
"choose_color_by_layertype",
"(",
"layertype",
")",
":",
"color",
"=",
"'#6495ED'",
"# Default",
"if",
"layertype",
"==",
"'Convolution'",
"or",
"layertype",
"==",
"'Deconvolution'",
":",
"color",
"=",
"'#FF5050'",
"elif",
"layertype",
"==",
"'Pooling'",
":... | https://github.com/may0324/DeepCompression-caffe/blob/0aff6c1287bda4cfc7f378ed8a16524e1afabd8c/python/caffe/draw.py#L117-L127 | |
wlanjie/AndroidFFmpeg | 7baf9122f4b8e1c74e7baf4be5c422c7a5ba5aaf | tools/fdk-aac-build/armeabi/toolchain/lib/python2.7/codecs.py | python | IncrementalDecoder.reset | (self) | Resets the decoder to the initial state. | Resets the decoder to the initial state. | [
"Resets",
"the",
"decoder",
"to",
"the",
"initial",
"state",
"."
] | def reset(self):
"""
Resets the decoder to the initial state.
""" | [
"def",
"reset",
"(",
"self",
")",
":"
] | https://github.com/wlanjie/AndroidFFmpeg/blob/7baf9122f4b8e1c74e7baf4be5c422c7a5ba5aaf/tools/fdk-aac-build/armeabi/toolchain/lib/python2.7/codecs.py#L251-L254 | ||
aws/lumberyard | f85344403c1c2e77ec8c75deb2c116e97b713217 | dev/Gems/CloudGemMetric/v1/AWS/python/windows/Lib/fsspec/utils.py | python | stringify_path | (filepath) | return filepath | Attempt to convert a path-like object to a string.
Parameters
----------
filepath: object to be converted
Returns
-------
filepath_str: maybe a string version of the object
Notes
-----
Objects supporting the fspath protocol (Python 3.6+) are coerced
according to its __fspath__... | Attempt to convert a path-like object to a string. | [
"Attempt",
"to",
"convert",
"a",
"path",
"-",
"like",
"object",
"to",
"a",
"string",
"."
] | def stringify_path(filepath):
""" Attempt to convert a path-like object to a string.
Parameters
----------
filepath: object to be converted
Returns
-------
filepath_str: maybe a string version of the object
Notes
-----
Objects supporting the fspath protocol (Python 3.6+) are c... | [
"def",
"stringify_path",
"(",
"filepath",
")",
":",
"if",
"hasattr",
"(",
"filepath",
",",
"\"__fspath__\"",
")",
":",
"return",
"filepath",
".",
"__fspath__",
"(",
")",
"elif",
"isinstance",
"(",
"filepath",
",",
"pathlib",
".",
"Path",
")",
":",
"return"... | https://github.com/aws/lumberyard/blob/f85344403c1c2e77ec8c75deb2c116e97b713217/dev/Gems/CloudGemMetric/v1/AWS/python/windows/Lib/fsspec/utils.py#L281-L307 | |
psi4/psi4 | be533f7f426b6ccc263904e55122899b16663395 | psi4/driver/procrouting/proc.py | python | run_scf_gradient | (name, **kwargs) | return ref_wfn | Function encoding sequence of PSI module calls for
a SCF gradient calculation. | Function encoding sequence of PSI module calls for
a SCF gradient calculation. | [
"Function",
"encoding",
"sequence",
"of",
"PSI",
"module",
"calls",
"for",
"a",
"SCF",
"gradient",
"calculation",
"."
] | def run_scf_gradient(name, **kwargs):
"""Function encoding sequence of PSI module calls for
a SCF gradient calculation.
"""
dft_func = False
if "dft_functional" in kwargs:
dft_func = True
optstash = proc_util.scf_set_reference_local(name, is_dft=dft_func)
# Bypass the scf call if... | [
"def",
"run_scf_gradient",
"(",
"name",
",",
"*",
"*",
"kwargs",
")",
":",
"dft_func",
"=",
"False",
"if",
"\"dft_functional\"",
"in",
"kwargs",
":",
"dft_func",
"=",
"True",
"optstash",
"=",
"proc_util",
".",
"scf_set_reference_local",
"(",
"name",
",",
"is... | https://github.com/psi4/psi4/blob/be533f7f426b6ccc263904e55122899b16663395/psi4/driver/procrouting/proc.py#L2475-L2553 | |
giuspen/cherrytree | 84712f206478fcf9acf30174009ad28c648c6344 | pygtk2/modules/core.py | python | CherryTree.anchor_edit_dialog | (self, pixbuf, iter_insert, iter_bound=None) | Anchor Edit Dialog | Anchor Edit Dialog | [
"Anchor",
"Edit",
"Dialog"
] | def anchor_edit_dialog(self, pixbuf, iter_insert, iter_bound=None):
"""Anchor Edit Dialog"""
if "anchor" in dir (pixbuf):
anchor_curr_name = pixbuf.anchor
dialog_title = _("Edit Anchor")
else:
anchor_curr_name = ""
dialog_title = _("Insert Anchor")... | [
"def",
"anchor_edit_dialog",
"(",
"self",
",",
"pixbuf",
",",
"iter_insert",
",",
"iter_bound",
"=",
"None",
")",
":",
"if",
"\"anchor\"",
"in",
"dir",
"(",
"pixbuf",
")",
":",
"anchor_curr_name",
"=",
"pixbuf",
".",
"anchor",
"dialog_title",
"=",
"_",
"("... | https://github.com/giuspen/cherrytree/blob/84712f206478fcf9acf30174009ad28c648c6344/pygtk2/modules/core.py#L3830-L3847 | ||
wlanjie/AndroidFFmpeg | 7baf9122f4b8e1c74e7baf4be5c422c7a5ba5aaf | tools/fdk-aac-build/armeabi/toolchain/lib/python2.7/bsddb/dbtables.py | python | bsdTableDB.ListTableColumns | (self, table) | Return a list of columns in the given table.
[] if the table doesn't exist. | Return a list of columns in the given table.
[] if the table doesn't exist. | [
"Return",
"a",
"list",
"of",
"columns",
"in",
"the",
"given",
"table",
".",
"[]",
"if",
"the",
"table",
"doesn",
"t",
"exist",
"."
] | def ListTableColumns(self, table):
"""Return a list of columns in the given table.
[] if the table doesn't exist.
"""
assert isinstance(table, str)
if contains_metastrings(table):
raise ValueError, "bad table name: contains reserved metastrings"
columnlist_ke... | [
"def",
"ListTableColumns",
"(",
"self",
",",
"table",
")",
":",
"assert",
"isinstance",
"(",
"table",
",",
"str",
")",
"if",
"contains_metastrings",
"(",
"table",
")",
":",
"raise",
"ValueError",
",",
"\"bad table name: contains reserved metastrings\"",
"columnlist_... | https://github.com/wlanjie/AndroidFFmpeg/blob/7baf9122f4b8e1c74e7baf4be5c422c7a5ba5aaf/tools/fdk-aac-build/armeabi/toolchain/lib/python2.7/bsddb/dbtables.py#L357-L373 | ||
CRYTEK/CRYENGINE | 232227c59a220cbbd311576f0fbeba7bb53b2a8c | Code/Tools/waf-1.7.13/crywaflib/compile_settings_windows.py | python | load_release_windows_settings | (conf) | Setup all compiler and linker settings shared over all windows configurations for
the 'debug' configuration | Setup all compiler and linker settings shared over all windows configurations for
the 'debug' configuration | [
"Setup",
"all",
"compiler",
"and",
"linker",
"settings",
"shared",
"over",
"all",
"windows",
"configurations",
"for",
"the",
"debug",
"configuration"
] | def load_release_windows_settings(conf):
"""
Setup all compiler and linker settings shared over all windows configurations for
the 'debug' configuration
"""
v = conf.env
conf.load_windows_common_settings() | [
"def",
"load_release_windows_settings",
"(",
"conf",
")",
":",
"v",
"=",
"conf",
".",
"env",
"conf",
".",
"load_windows_common_settings",
"(",
")"
] | https://github.com/CRYTEK/CRYENGINE/blob/232227c59a220cbbd311576f0fbeba7bb53b2a8c/Code/Tools/waf-1.7.13/crywaflib/compile_settings_windows.py#L50-L56 | ||
mantidproject/mantid | 03deeb89254ec4289edb8771e0188c2090a02f32 | tools/Pylint/run_pylint.py | python | create_dir_if_required | (path) | Create the given directory if it doesn't exist
Arguments:
path (str): Absolute path to a directory | Create the given directory if it doesn't exist | [
"Create",
"the",
"given",
"directory",
"if",
"it",
"doesn",
"t",
"exist"
] | def create_dir_if_required(path):
"""
Create the given directory if it doesn't exist
Arguments:
path (str): Absolute path to a directory
"""
if path and not os.path.exists(path):
os.makedirs(path) | [
"def",
"create_dir_if_required",
"(",
"path",
")",
":",
"if",
"path",
"and",
"not",
"os",
".",
"path",
".",
"exists",
"(",
"path",
")",
":",
"os",
".",
"makedirs",
"(",
"path",
")"
] | https://github.com/mantidproject/mantid/blob/03deeb89254ec4289edb8771e0188c2090a02f32/tools/Pylint/run_pylint.py#L230-L238 | ||
catboost/catboost | 167f64f237114a4d10b2b4ee42adb4569137debe | contrib/python/pandas/py2/pandas/core/indexes/base.py | python | Index._reset_identity | (self) | return self | Initializes or resets ``_id`` attribute with new object. | Initializes or resets ``_id`` attribute with new object. | [
"Initializes",
"or",
"resets",
"_id",
"attribute",
"with",
"new",
"object",
"."
] | def _reset_identity(self):
"""
Initializes or resets ``_id`` attribute with new object.
"""
self._id = _Identity()
return self | [
"def",
"_reset_identity",
"(",
"self",
")",
":",
"self",
".",
"_id",
"=",
"_Identity",
"(",
")",
"return",
"self"
] | https://github.com/catboost/catboost/blob/167f64f237114a4d10b2b4ee42adb4569137debe/contrib/python/pandas/py2/pandas/core/indexes/base.py#L633-L638 | |
mapsme/omim | 1892903b63f2c85b16ed4966d21fe76aba06b9ba | tools/python/stylesheet/webcolors/webcolors.py | python | rgb_to_rgb_percent | (rgb_triplet) | return tuple(map(lambda d: specials.get(d, '%.02f%%' % ((d / 255.0) * 100)),
rgb_triplet)) | Convert a 3-tuple of integers, suitable for use in an ``rgb()``
color triplet, to a 3-tuple of percentages suitable for use in
representing that color.
This function makes some trade-offs in terms of the accuracy of
the final representation; for some common integer values,
special-case logic is use... | Convert a 3-tuple of integers, suitable for use in an ``rgb()``
color triplet, to a 3-tuple of percentages suitable for use in
representing that color. | [
"Convert",
"a",
"3",
"-",
"tuple",
"of",
"integers",
"suitable",
"for",
"use",
"in",
"an",
"rgb",
"()",
"color",
"triplet",
"to",
"a",
"3",
"-",
"tuple",
"of",
"percentages",
"suitable",
"for",
"use",
"in",
"representing",
"that",
"color",
"."
] | def rgb_to_rgb_percent(rgb_triplet):
"""
Convert a 3-tuple of integers, suitable for use in an ``rgb()``
color triplet, to a 3-tuple of percentages suitable for use in
representing that color.
This function makes some trade-offs in terms of the accuracy of
the final representation; for some com... | [
"def",
"rgb_to_rgb_percent",
"(",
"rgb_triplet",
")",
":",
"# In order to maintain precision for common values,",
"# 256 / 2**n is special-cased for values of n",
"# from 0 through 4, as well as 0 itself.",
"specials",
"=",
"{",
"255",
":",
"'100%'",
",",
"128",
":",
"'50%'",
"... | https://github.com/mapsme/omim/blob/1892903b63f2c85b16ed4966d21fe76aba06b9ba/tools/python/stylesheet/webcolors/webcolors.py#L722-L754 | |
BVLC/caffe | 9b891540183ddc834a02b2bd81b31afae71b2153 | scripts/cpp_lint.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] = '// 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",
... | https://github.com/BVLC/caffe/blob/9b891540183ddc834a02b2bd81b31afae71b2153/scripts/cpp_lint.py#L1147-L1152 | ||
aws/lumberyard | f85344403c1c2e77ec8c75deb2c116e97b713217 | dev/Gems/CloudGemMetric/v1/AWS/python/windows/Lib/numpy/lib/nanfunctions.py | python | nanprod | (a, axis=None, dtype=None, out=None, keepdims=np._NoValue) | return np.prod(a, axis=axis, dtype=dtype, out=out, keepdims=keepdims) | Return the product of array elements over a given axis treating Not a
Numbers (NaNs) as ones.
One is returned for slices that are all-NaN or empty.
.. versionadded:: 1.10.0
Parameters
----------
a : array_like
Array containing numbers whose product is desired. If `a` is not an
... | Return the product of array elements over a given axis treating Not a
Numbers (NaNs) as ones. | [
"Return",
"the",
"product",
"of",
"array",
"elements",
"over",
"a",
"given",
"axis",
"treating",
"Not",
"a",
"Numbers",
"(",
"NaNs",
")",
"as",
"ones",
"."
] | def nanprod(a, axis=None, dtype=None, out=None, keepdims=np._NoValue):
"""
Return the product of array elements over a given axis treating Not a
Numbers (NaNs) as ones.
One is returned for slices that are all-NaN or empty.
.. versionadded:: 1.10.0
Parameters
----------
a : array_like
... | [
"def",
"nanprod",
"(",
"a",
",",
"axis",
"=",
"None",
",",
"dtype",
"=",
"None",
",",
"out",
"=",
"None",
",",
"keepdims",
"=",
"np",
".",
"_NoValue",
")",
":",
"a",
",",
"mask",
"=",
"_replace_nan",
"(",
"a",
",",
"1",
")",
"return",
"np",
"."... | https://github.com/aws/lumberyard/blob/f85344403c1c2e77ec8c75deb2c116e97b713217/dev/Gems/CloudGemMetric/v1/AWS/python/windows/Lib/numpy/lib/nanfunctions.py#L658-L720 | |
wxWidgets/wxPython-Classic | 19571e1ae65f1ac445f5491474121998c97a1bf0 | src/msw/glcanvas.py | python | GLCanvas.SetupPalette | (*args, **kwargs) | return _glcanvas.GLCanvas_SetupPalette(*args, **kwargs) | SetupPalette(self, Palette palette) | SetupPalette(self, Palette palette) | [
"SetupPalette",
"(",
"self",
"Palette",
"palette",
")"
] | def SetupPalette(*args, **kwargs):
"""SetupPalette(self, Palette palette)"""
return _glcanvas.GLCanvas_SetupPalette(*args, **kwargs) | [
"def",
"SetupPalette",
"(",
"*",
"args",
",",
"*",
"*",
"kwargs",
")",
":",
"return",
"_glcanvas",
".",
"GLCanvas_SetupPalette",
"(",
"*",
"args",
",",
"*",
"*",
"kwargs",
")"
] | https://github.com/wxWidgets/wxPython-Classic/blob/19571e1ae65f1ac445f5491474121998c97a1bf0/src/msw/glcanvas.py#L142-L144 | |
ChromiumWebApps/chromium | c7361d39be8abd1574e6ce8957c8dbddd4c6ccf7 | tools/telemetry/third_party/pyserial/serial/serialutil.py | python | SerialBase.getBaudrate | (self) | return self._baudrate | Get the current baud rate setting. | Get the current baud rate setting. | [
"Get",
"the",
"current",
"baud",
"rate",
"setting",
"."
] | def getBaudrate(self):
"""Get the current baud rate setting."""
return self._baudrate | [
"def",
"getBaudrate",
"(",
"self",
")",
":",
"return",
"self",
".",
"_baudrate"
] | https://github.com/ChromiumWebApps/chromium/blob/c7361d39be8abd1574e6ce8957c8dbddd4c6ccf7/tools/telemetry/third_party/pyserial/serial/serialutil.py#L347-L349 | |
benoitsteiner/tensorflow-opencl | cb7cb40a57fde5cfd4731bc551e82a1e2fef43a5 | tensorflow/python/training/saver.py | python | Saver.set_last_checkpoints_with_time | (self, last_checkpoints_with_time) | Sets the list of old checkpoint filenames and timestamps.
Args:
last_checkpoints_with_time: A list of tuples of checkpoint filenames and
timestamps.
Raises:
AssertionError: If last_checkpoints_with_time is not a list. | Sets the list of old checkpoint filenames and timestamps. | [
"Sets",
"the",
"list",
"of",
"old",
"checkpoint",
"filenames",
"and",
"timestamps",
"."
] | def set_last_checkpoints_with_time(self, last_checkpoints_with_time):
"""Sets the list of old checkpoint filenames and timestamps.
Args:
last_checkpoints_with_time: A list of tuples of checkpoint filenames and
timestamps.
Raises:
AssertionError: If last_checkpoints_with_time is not a l... | [
"def",
"set_last_checkpoints_with_time",
"(",
"self",
",",
"last_checkpoints_with_time",
")",
":",
"assert",
"isinstance",
"(",
"last_checkpoints_with_time",
",",
"list",
")",
"self",
".",
"_last_checkpoints",
"=",
"last_checkpoints_with_time"
] | https://github.com/benoitsteiner/tensorflow-opencl/blob/cb7cb40a57fde5cfd4731bc551e82a1e2fef43a5/tensorflow/python/training/saver.py#L1464-L1475 | ||
catboost/catboost | 167f64f237114a4d10b2b4ee42adb4569137debe | contrib/python/scipy/py2/scipy/io/mmio.py | python | mmwrite | (target, a, comment='', field=None, precision=None, symmetry=None) | Writes the sparse or dense array `a` to Matrix Market file-like `target`.
Parameters
----------
target : str or file-like
Matrix Market filename (extension .mtx) or open file-like object.
a : array like
Sparse or dense 2D array.
comment : str, optional
Comments to be prepend... | Writes the sparse or dense array `a` to Matrix Market file-like `target`. | [
"Writes",
"the",
"sparse",
"or",
"dense",
"array",
"a",
"to",
"Matrix",
"Market",
"file",
"-",
"like",
"target",
"."
] | def mmwrite(target, a, comment='', field=None, precision=None, symmetry=None):
"""
Writes the sparse or dense array `a` to Matrix Market file-like `target`.
Parameters
----------
target : str or file-like
Matrix Market filename (extension .mtx) or open file-like object.
a : array like
... | [
"def",
"mmwrite",
"(",
"target",
",",
"a",
",",
"comment",
"=",
"''",
",",
"field",
"=",
"None",
",",
"precision",
"=",
"None",
",",
"symmetry",
"=",
"None",
")",
":",
"MMFile",
"(",
")",
".",
"write",
"(",
"target",
",",
"a",
",",
"comment",
","... | https://github.com/catboost/catboost/blob/167f64f237114a4d10b2b4ee42adb4569137debe/contrib/python/scipy/py2/scipy/io/mmio.py#L80-L101 | ||
miyosuda/TensorFlowAndroidMNIST | 7b5a4603d2780a8a2834575706e9001977524007 | jni-build/jni/include/tensorflow/python/summary/event_accumulator.py | python | _Remap | (x, x0, x1, y0, y1) | return y0 + (x - x0) * float(y1 - y0) / (x1 - x0) | Linearly map from [x0, x1] unto [y0, y1]. | Linearly map from [x0, x1] unto [y0, y1]. | [
"Linearly",
"map",
"from",
"[",
"x0",
"x1",
"]",
"unto",
"[",
"y0",
"y1",
"]",
"."
] | def _Remap(x, x0, x1, y0, y1):
"""Linearly map from [x0, x1] unto [y0, y1]."""
return y0 + (x - x0) * float(y1 - y0) / (x1 - x0) | [
"def",
"_Remap",
"(",
"x",
",",
"x0",
",",
"x1",
",",
"y0",
",",
"y1",
")",
":",
"return",
"y0",
"+",
"(",
"x",
"-",
"x0",
")",
"*",
"float",
"(",
"y1",
"-",
"y0",
")",
"/",
"(",
"x1",
"-",
"x0",
")"
] | https://github.com/miyosuda/TensorFlowAndroidMNIST/blob/7b5a4603d2780a8a2834575706e9001977524007/jni-build/jni/include/tensorflow/python/summary/event_accumulator.py#L661-L663 | |
facebookincubator/BOLT | 88c70afe9d388ad430cc150cc158641701397f70 | mlir/python/mlir/dialects/linalg/opdsl/ops/core_named_ops.py | python | conv_1d_nwc_wcf | (
I=TensorDef(T1, S.N, S.OW * S.SW + S.KW * S.DW, S.C),
K=TensorDef(T2, S.KW, S.C, S.F),
O=TensorDef(U, S.N, S.OW, S.F, output=True),
strides=IndexAttrDef(S.SW),
dilations=IndexAttrDef(S.DW)) | Performs 1-D convolution.
Numeric casting is performed on the operands to the inner multiply, promoting
them to the same data type as the accumulator/output. | Performs 1-D convolution. | [
"Performs",
"1",
"-",
"D",
"convolution",
"."
] | def conv_1d_nwc_wcf(
I=TensorDef(T1, S.N, S.OW * S.SW + S.KW * S.DW, S.C),
K=TensorDef(T2, S.KW, S.C, S.F),
O=TensorDef(U, S.N, S.OW, S.F, output=True),
strides=IndexAttrDef(S.SW),
dilations=IndexAttrDef(S.DW)):
"""Performs 1-D convolution.
Numeric casting is performed on the operands to the in... | [
"def",
"conv_1d_nwc_wcf",
"(",
"I",
"=",
"TensorDef",
"(",
"T1",
",",
"S",
".",
"N",
",",
"S",
".",
"OW",
"*",
"S",
".",
"SW",
"+",
"S",
".",
"KW",
"*",
"S",
".",
"DW",
",",
"S",
".",
"C",
")",
",",
"K",
"=",
"TensorDef",
"(",
"T2",
",",
... | https://github.com/facebookincubator/BOLT/blob/88c70afe9d388ad430cc150cc158641701397f70/mlir/python/mlir/dialects/linalg/opdsl/ops/core_named_ops.py#L223-L238 | ||
apiaryio/snowcrash | b5b39faa85f88ee17459edf39fdc6fe4fc70d2e3 | tools/gyp/pylib/gyp/msvs_emulation.py | python | MsvsSettings.HasExplicitAsmRules | (self, spec) | return self._HasExplicitRuleForExtension(spec, 'asm') | Determine if there's an explicit rule for asm files. When there isn't we
need to generate implicit rules to assemble .asm files. | Determine if there's an explicit rule for asm files. When there isn't we
need to generate implicit rules to assemble .asm files. | [
"Determine",
"if",
"there",
"s",
"an",
"explicit",
"rule",
"for",
"asm",
"files",
".",
"When",
"there",
"isn",
"t",
"we",
"need",
"to",
"generate",
"implicit",
"rules",
"to",
"assemble",
".",
"asm",
"files",
"."
] | def HasExplicitAsmRules(self, spec):
"""Determine if there's an explicit rule for asm files. When there isn't we
need to generate implicit rules to assemble .asm files."""
return self._HasExplicitRuleForExtension(spec, 'asm') | [
"def",
"HasExplicitAsmRules",
"(",
"self",
",",
"spec",
")",
":",
"return",
"self",
".",
"_HasExplicitRuleForExtension",
"(",
"spec",
",",
"'asm'",
")"
] | https://github.com/apiaryio/snowcrash/blob/b5b39faa85f88ee17459edf39fdc6fe4fc70d2e3/tools/gyp/pylib/gyp/msvs_emulation.py#L835-L838 | |
turi-code/SFrame | 796b9bdfb2fa1b881d82080754643c7e68629cd2 | oss_src/unity/python/sframe/util/cloudpickle.py | python | CloudPickler.save_function | (self, obj, name=None) | Registered with the dispatch to handle all function types.
Determines what kind of function obj is (e.g. lambda, defined at
interactive prompt, etc) and handles the pickling appropriately. | Registered with the dispatch to handle all function types. | [
"Registered",
"with",
"the",
"dispatch",
"to",
"handle",
"all",
"function",
"types",
"."
] | def save_function(self, obj, name=None):
""" Registered with the dispatch to handle all function types.
Determines what kind of function obj is (e.g. lambda, defined at
interactive prompt, etc) and handles the pickling appropriately.
"""
write = self.write
if name is No... | [
"def",
"save_function",
"(",
"self",
",",
"obj",
",",
"name",
"=",
"None",
")",
":",
"write",
"=",
"self",
".",
"write",
"if",
"name",
"is",
"None",
":",
"name",
"=",
"obj",
".",
"__name__",
"modname",
"=",
"pickle",
".",
"whichmodule",
"(",
"obj",
... | https://github.com/turi-code/SFrame/blob/796b9bdfb2fa1b881d82080754643c7e68629cd2/oss_src/unity/python/sframe/util/cloudpickle.py#L162-L211 | ||
SFTtech/openage | d6a08c53c48dc1e157807471df92197f6ca9e04d | openage/convert/service/debug_info.py | python | debug_game_version | (debugdir, loglevel, args) | Create debug output for the detected game version.
:param debugdir: Output directory for the debug info.
:type debugdir: Directory
:param loglevel: Determines how detailed the output is.
:type loglevel: int
:param args: CLI arguments.
:type args: Namespace | Create debug output for the detected game version. | [
"Create",
"debug",
"output",
"for",
"the",
"detected",
"game",
"version",
"."
] | def debug_game_version(debugdir, loglevel, args):
"""
Create debug output for the detected game version.
:param debugdir: Output directory for the debug info.
:type debugdir: Directory
:param loglevel: Determines how detailed the output is.
:type loglevel: int
:param args: CLI arguments.
... | [
"def",
"debug_game_version",
"(",
"debugdir",
",",
"loglevel",
",",
"args",
")",
":",
"if",
"loglevel",
"<",
"2",
":",
"return",
"# Log game version",
"logfile",
"=",
"debugdir",
".",
"joinpath",
"(",
"\"init/\"",
")",
"[",
"\"game_version\"",
"]",
"logtext",
... | https://github.com/SFTtech/openage/blob/d6a08c53c48dc1e157807471df92197f6ca9e04d/openage/convert/service/debug_info.py#L54-L86 | ||
hanpfei/chromium-net | 392cc1fa3a8f92f42e4071ab6e674d8e0482f83f | third_party/catapult/third_party/mapreduce/mapreduce/shuffler.py | python | _MergingReader.from_json | (cls, json) | return cls(json["offsets"],
json["max_values_count"],
json["max_values_size"]) | Restore reader from json state. | Restore reader from json state. | [
"Restore",
"reader",
"from",
"json",
"state",
"."
] | def from_json(cls, json):
"""Restore reader from json state."""
return cls(json["offsets"],
json["max_values_count"],
json["max_values_size"]) | [
"def",
"from_json",
"(",
"cls",
",",
"json",
")",
":",
"return",
"cls",
"(",
"json",
"[",
"\"offsets\"",
"]",
",",
"json",
"[",
"\"max_values_count\"",
"]",
",",
"json",
"[",
"\"max_values_size\"",
"]",
")"
] | https://github.com/hanpfei/chromium-net/blob/392cc1fa3a8f92f42e4071ab6e674d8e0482f83f/third_party/catapult/third_party/mapreduce/mapreduce/shuffler.py#L373-L377 | |
Xilinx/Vitis-AI | fc74d404563d9951b57245443c73bef389f3657f | tools/Vitis-AI-Quantizer/vai_q_tensorflow1.x/tensorflow/python/eager/wrap_function.py | python | _lift_single_variable | (old_variable, graph, variable_holder) | return new_variable | Lifts `old_variable` out of the `FuncGraph` `graph`. | Lifts `old_variable` out of the `FuncGraph` `graph`. | [
"Lifts",
"old_variable",
"out",
"of",
"the",
"FuncGraph",
"graph",
"."
] | def _lift_single_variable(old_variable, graph, variable_holder):
"""Lifts `old_variable` out of the `FuncGraph` `graph`."""
new_variable = resource_variable_ops.UninitializedVariable(
shape=old_variable.shape,
dtype=old_variable.dtype,
name=old_variable.op.name,
trainable=old_variable.traina... | [
"def",
"_lift_single_variable",
"(",
"old_variable",
",",
"graph",
",",
"variable_holder",
")",
":",
"new_variable",
"=",
"resource_variable_ops",
".",
"UninitializedVariable",
"(",
"shape",
"=",
"old_variable",
".",
"shape",
",",
"dtype",
"=",
"old_variable",
".",
... | https://github.com/Xilinx/Vitis-AI/blob/fc74d404563d9951b57245443c73bef389f3657f/tools/Vitis-AI-Quantizer/vai_q_tensorflow1.x/tensorflow/python/eager/wrap_function.py#L122-L142 | |
vslavik/poedit | f7a9daa0a10037e090aa0a86f5ce0f24ececdf6a | deps/boost/tools/build/src/build/generators.py | python | Generator.target_types | (self) | return self.target_types_ | Returns the list of target types that this generator produces.
It is assumed to be always the same -- i.e. it cannot change depending
list of sources. | Returns the list of target types that this generator produces.
It is assumed to be always the same -- i.e. it cannot change depending
list of sources. | [
"Returns",
"the",
"list",
"of",
"target",
"types",
"that",
"this",
"generator",
"produces",
".",
"It",
"is",
"assumed",
"to",
"be",
"always",
"the",
"same",
"--",
"i",
".",
"e",
".",
"it",
"cannot",
"change",
"depending",
"list",
"of",
"sources",
"."
] | def target_types (self):
""" Returns the list of target types that this generator produces.
It is assumed to be always the same -- i.e. it cannot change depending
list of sources.
"""
return self.target_types_ | [
"def",
"target_types",
"(",
"self",
")",
":",
"return",
"self",
".",
"target_types_"
] | https://github.com/vslavik/poedit/blob/f7a9daa0a10037e090aa0a86f5ce0f24ececdf6a/deps/boost/tools/build/src/build/generators.py#L286-L291 | |
windystrife/UnrealEngine_NVIDIAGameWorks | b50e6338a7c5b26374d66306ebc7807541ff815e | Engine/Extras/ThirdPartyNotUE/emsdk/Win64/python/2.7.5.3_64bit/Lib/distutils/command/config.py | python | dump_file | (filename, head=None) | Dumps a file content into log.info.
If head is not None, will be dumped before the file content. | Dumps a file content into log.info. | [
"Dumps",
"a",
"file",
"content",
"into",
"log",
".",
"info",
"."
] | def dump_file(filename, head=None):
"""Dumps a file content into log.info.
If head is not None, will be dumped before the file content.
"""
if head is None:
log.info('%s' % filename)
else:
log.info(head)
file = open(filename)
try:
log.info(file.read())
finally:
... | [
"def",
"dump_file",
"(",
"filename",
",",
"head",
"=",
"None",
")",
":",
"if",
"head",
"is",
"None",
":",
"log",
".",
"info",
"(",
"'%s'",
"%",
"filename",
")",
"else",
":",
"log",
".",
"info",
"(",
"head",
")",
"file",
"=",
"open",
"(",
"filenam... | https://github.com/windystrife/UnrealEngine_NVIDIAGameWorks/blob/b50e6338a7c5b26374d66306ebc7807541ff815e/Engine/Extras/ThirdPartyNotUE/emsdk/Win64/python/2.7.5.3_64bit/Lib/distutils/command/config.py#L344-L357 | ||
NVIDIA/DALI | bf16cc86ba8f091b145f91962f21fe1b6aff243d | docs/examples/use_cases/tensorflow/efficientdet/pipeline/anchors_utils/argmax_matcher.py | python | ArgMaxMatcher._set_values_using_indicator | (self, x, indicator, val) | return x * (1 - indicator) + val * indicator | Set the indicated fields of x to val.
Args:
x: tensor.
indicator: boolean with same shape as x.
val: scalar with value to set.
Returns:
modified tensor. | Set the indicated fields of x to val. | [
"Set",
"the",
"indicated",
"fields",
"of",
"x",
"to",
"val",
"."
] | def _set_values_using_indicator(self, x, indicator, val):
"""Set the indicated fields of x to val.
Args:
x: tensor.
indicator: boolean with same shape as x.
val: scalar with value to set.
Returns:
modified tensor.
"""
indicator = tf.cast(... | [
"def",
"_set_values_using_indicator",
"(",
"self",
",",
"x",
",",
"indicator",
",",
"val",
")",
":",
"indicator",
"=",
"tf",
".",
"cast",
"(",
"indicator",
",",
"x",
".",
"dtype",
")",
"return",
"x",
"*",
"(",
"1",
"-",
"indicator",
")",
"+",
"val",
... | https://github.com/NVIDIA/DALI/blob/bf16cc86ba8f091b145f91962f21fe1b6aff243d/docs/examples/use_cases/tensorflow/efficientdet/pipeline/anchors_utils/argmax_matcher.py#L206-L218 | |
alibaba/weex_js_engine | 2bdf4b6f020c1fc99c63f649718f6faf7e27fdde | jni/v8core/v8/build/gyp/pylib/gyp/generator/android.py | python | AndroidMkWriter.NormalizeLdFlags | (self, ld_flags) | return clean_ldflags | Clean up ldflags from gyp file.
Remove any ldflags that contain android_top_dir.
Args:
ld_flags: ldflags from gyp files.
Returns:
clean ldflags | Clean up ldflags from gyp file.
Remove any ldflags that contain android_top_dir. | [
"Clean",
"up",
"ldflags",
"from",
"gyp",
"file",
".",
"Remove",
"any",
"ldflags",
"that",
"contain",
"android_top_dir",
"."
] | def NormalizeLdFlags(self, ld_flags):
""" Clean up ldflags from gyp file.
Remove any ldflags that contain android_top_dir.
Args:
ld_flags: ldflags from gyp files.
Returns:
clean ldflags
"""
clean_ldflags = []
for flag in ld_flags:
if self.android_top_dir in flag:
... | [
"def",
"NormalizeLdFlags",
"(",
"self",
",",
"ld_flags",
")",
":",
"clean_ldflags",
"=",
"[",
"]",
"for",
"flag",
"in",
"ld_flags",
":",
"if",
"self",
".",
"android_top_dir",
"in",
"flag",
":",
"continue",
"clean_ldflags",
".",
"append",
"(",
"flag",
")",
... | https://github.com/alibaba/weex_js_engine/blob/2bdf4b6f020c1fc99c63f649718f6faf7e27fdde/jni/v8core/v8/build/gyp/pylib/gyp/generator/android.py#L672-L687 | |
nucleic/atom | 9f0cb2a8101dd63c354a98ebc7489b2c616dc82a | atom/atom.py | python | Atom.__getstate__ | (self) | return state | The base implementation of the pickle getstate protocol.
This base class implementation handles the generic case where
the object and all of its state are pickable. This includes
state stored in Atom members, as well as any instance dict or
slot attributes. Subclasses which require furt... | The base implementation of the pickle getstate protocol. | [
"The",
"base",
"implementation",
"of",
"the",
"pickle",
"getstate",
"protocol",
"."
] | def __getstate__(self):
"""The base implementation of the pickle getstate protocol.
This base class implementation handles the generic case where
the object and all of its state are pickable. This includes
state stored in Atom members, as well as any instance dict or
slot attrib... | [
"def",
"__getstate__",
"(",
"self",
")",
":",
"state",
"=",
"{",
"}",
"state",
".",
"update",
"(",
"getattr",
"(",
"self",
",",
"\"__dict__\"",
",",
"{",
"}",
")",
")",
"slots",
"=",
"copyreg",
".",
"_slotnames",
"(",
"type",
"(",
"self",
")",
")",... | https://github.com/nucleic/atom/blob/9f0cb2a8101dd63c354a98ebc7489b2c616dc82a/atom/atom.py#L513-L532 | |
ricardoquesada/Spidermonkey | 4a75ea2543408bd1b2c515aa95901523eeef7858 | python/configobj/validate.py | python | is_option | (value, *options) | return value | This check matches the value to any of a set of options.
>>> vtor.check('option("yoda", "jedi")', 'yoda')
'yoda'
>>> vtor.check('option("yoda", "jedi")', 'jed')
Traceback (most recent call last):
VdtValueError: the value "jed" is unacceptable.
>>> vtor.check('option("yoda", "jedi")', 0)
... | This check matches the value to any of a set of options.
>>> vtor.check('option("yoda", "jedi")', 'yoda')
'yoda'
>>> vtor.check('option("yoda", "jedi")', 'jed')
Traceback (most recent call last):
VdtValueError: the value "jed" is unacceptable.
>>> vtor.check('option("yoda", "jedi")', 0)
... | [
"This",
"check",
"matches",
"the",
"value",
"to",
"any",
"of",
"a",
"set",
"of",
"options",
".",
">>>",
"vtor",
".",
"check",
"(",
"option",
"(",
"yoda",
"jedi",
")",
"yoda",
")",
"yoda",
">>>",
"vtor",
".",
"check",
"(",
"option",
"(",
"yoda",
"je... | def is_option(value, *options):
"""
This check matches the value to any of a set of options.
>>> vtor.check('option("yoda", "jedi")', 'yoda')
'yoda'
>>> vtor.check('option("yoda", "jedi")', 'jed')
Traceback (most recent call last):
VdtValueError: the value "jed" is unacceptable.
>>>... | [
"def",
"is_option",
"(",
"value",
",",
"*",
"options",
")",
":",
"if",
"not",
"isinstance",
"(",
"value",
",",
"basestring",
")",
":",
"raise",
"VdtTypeError",
"(",
"value",
")",
"if",
"not",
"value",
"in",
"options",
":",
"raise",
"VdtValueError",
"(",
... | https://github.com/ricardoquesada/Spidermonkey/blob/4a75ea2543408bd1b2c515aa95901523eeef7858/python/configobj/validate.py#L1299-L1316 | |
miyosuda/TensorFlowAndroidMNIST | 7b5a4603d2780a8a2834575706e9001977524007 | jni-build/jni/include/tensorflow/models/image/cifar10/cifar10_input.py | python | inputs | (eval_data, data_dir, batch_size) | return _generate_image_and_label_batch(float_image, read_input.label,
min_queue_examples, batch_size,
shuffle=False) | Construct input for CIFAR evaluation using the Reader ops.
Args:
eval_data: bool, indicating if one should use the train or eval data set.
data_dir: Path to the CIFAR-10 data directory.
batch_size: Number of images per batch.
Returns:
images: Images. 4D tensor of [batch_size, IMAGE_SIZE, IMAGE_SIZ... | Construct input for CIFAR evaluation using the Reader ops. | [
"Construct",
"input",
"for",
"CIFAR",
"evaluation",
"using",
"the",
"Reader",
"ops",
"."
] | def inputs(eval_data, data_dir, batch_size):
"""Construct input for CIFAR evaluation using the Reader ops.
Args:
eval_data: bool, indicating if one should use the train or eval data set.
data_dir: Path to the CIFAR-10 data directory.
batch_size: Number of images per batch.
Returns:
images: Image... | [
"def",
"inputs",
"(",
"eval_data",
",",
"data_dir",
",",
"batch_size",
")",
":",
"if",
"not",
"eval_data",
":",
"filenames",
"=",
"[",
"os",
".",
"path",
".",
"join",
"(",
"data_dir",
",",
"'data_batch_%d.bin'",
"%",
"i",
")",
"for",
"i",
"in",
"xrange... | https://github.com/miyosuda/TensorFlowAndroidMNIST/blob/7b5a4603d2780a8a2834575706e9001977524007/jni-build/jni/include/tensorflow/models/image/cifar10/cifar10_input.py#L197-L247 | |
mantidproject/mantid | 03deeb89254ec4289edb8771e0188c2090a02f32 | qt/python/mantidqtinterfaces/mantidqtinterfaces/Muon/GUI/Common/fitting_widgets/tf_asymmetry_fitting/tf_asymmetry_fitting_model.py | python | TFAsymmetryFittingModel._update_tf_asymmetry_single_fit_functions_after_sequential | (self, workspaces: list, functions: list) | Updates the TF single fit functions after a sequential fit has been run on the Sequential fitting tab. | Updates the TF single fit functions after a sequential fit has been run on the Sequential fitting tab. | [
"Updates",
"the",
"TF",
"single",
"fit",
"functions",
"after",
"a",
"sequential",
"fit",
"has",
"been",
"run",
"on",
"the",
"Sequential",
"fitting",
"tab",
"."
] | def _update_tf_asymmetry_single_fit_functions_after_sequential(self, workspaces: list, functions: list) -> None:
"""Updates the TF single fit functions after a sequential fit has been run on the Sequential fitting tab."""
dataset_names = self.fitting_context.dataset_names
for workspace_index, w... | [
"def",
"_update_tf_asymmetry_single_fit_functions_after_sequential",
"(",
"self",
",",
"workspaces",
":",
"list",
",",
"functions",
":",
"list",
")",
"->",
"None",
":",
"dataset_names",
"=",
"self",
".",
"fitting_context",
".",
"dataset_names",
"for",
"workspace_index... | https://github.com/mantidproject/mantid/blob/03deeb89254ec4289edb8771e0188c2090a02f32/qt/python/mantidqtinterfaces/mantidqtinterfaces/Muon/GUI/Common/fitting_widgets/tf_asymmetry_fitting/tf_asymmetry_fitting_model.py#L891-L898 | ||
chromiumembedded/cef | 80caf947f3fe2210e5344713c5281d8af9bdc295 | tools/make_distrib.py | python | create_tar_archive | (input_dir, format) | Creates a tar archive of the specified input directory. | Creates a tar archive of the specified input directory. | [
"Creates",
"a",
"tar",
"archive",
"of",
"the",
"specified",
"input",
"directory",
"."
] | def create_tar_archive(input_dir, format):
""" Creates a tar archive of the specified input directory. """
# Supported formats include "gz" and "bz2".
tar_file = input_dir + '.tar.' + format
tf = tarfile.open(tar_file, "w:" + format)
# The default tar format changed from GNU_FORMAT to PAX_FORMAT in Python 3.8... | [
"def",
"create_tar_archive",
"(",
"input_dir",
",",
"format",
")",
":",
"# Supported formats include \"gz\" and \"bz2\".",
"tar_file",
"=",
"input_dir",
"+",
"'.tar.'",
"+",
"format",
"tf",
"=",
"tarfile",
".",
"open",
"(",
"tar_file",
",",
"\"w:\"",
"+",
"format"... | https://github.com/chromiumembedded/cef/blob/80caf947f3fe2210e5344713c5281d8af9bdc295/tools/make_distrib.py#L42-L52 | ||
wlanjie/AndroidFFmpeg | 7baf9122f4b8e1c74e7baf4be5c422c7a5ba5aaf | tools/fdk-aac-build/x86/toolchain/lib/python2.7/distutils/file_util.py | python | move_file | (src, dst, verbose=1, dry_run=0) | return dst | Move a file 'src' to 'dst'.
If 'dst' is a directory, the file will be moved into it with the same
name; otherwise, 'src' is just renamed to 'dst'. Return the new
full name of the file.
Handles cross-device moves on Unix using 'copy_file()'. What about
other systems??? | Move a file 'src' to 'dst'. | [
"Move",
"a",
"file",
"src",
"to",
"dst",
"."
] | def move_file (src, dst, verbose=1, dry_run=0):
"""Move a file 'src' to 'dst'.
If 'dst' is a directory, the file will be moved into it with the same
name; otherwise, 'src' is just renamed to 'dst'. Return the new
full name of the file.
Handles cross-device moves on Unix using 'copy_file()'. What... | [
"def",
"move_file",
"(",
"src",
",",
"dst",
",",
"verbose",
"=",
"1",
",",
"dry_run",
"=",
"0",
")",
":",
"from",
"os",
".",
"path",
"import",
"exists",
",",
"isfile",
",",
"isdir",
",",
"basename",
",",
"dirname",
"import",
"errno",
"if",
"verbose",... | https://github.com/wlanjie/AndroidFFmpeg/blob/7baf9122f4b8e1c74e7baf4be5c422c7a5ba5aaf/tools/fdk-aac-build/x86/toolchain/lib/python2.7/distutils/file_util.py#L162-L219 | |
catboost/catboost | 167f64f237114a4d10b2b4ee42adb4569137debe | contrib/python/scipy/py3/scipy/stats/_multivariate.py | python | dirichlet_gen.var | (self, alpha) | return _squeeze_output(out) | Compute the variance of the dirichlet distribution.
Parameters
----------
%(_dirichlet_doc_default_callparams)s
Returns
-------
v : ndarray or scalar
Variance of the Dirichlet distribution. | Compute the variance of the dirichlet distribution. | [
"Compute",
"the",
"variance",
"of",
"the",
"dirichlet",
"distribution",
"."
] | def var(self, alpha):
"""
Compute the variance of the dirichlet distribution.
Parameters
----------
%(_dirichlet_doc_default_callparams)s
Returns
-------
v : ndarray or scalar
Variance of the Dirichlet distribution.
"""
alph... | [
"def",
"var",
"(",
"self",
",",
"alpha",
")",
":",
"alpha",
"=",
"_dirichlet_check_parameters",
"(",
"alpha",
")",
"alpha0",
"=",
"np",
".",
"sum",
"(",
"alpha",
")",
"out",
"=",
"(",
"alpha",
"*",
"(",
"alpha0",
"-",
"alpha",
")",
")",
"/",
"(",
... | https://github.com/catboost/catboost/blob/167f64f237114a4d10b2b4ee42adb4569137debe/contrib/python/scipy/py3/scipy/stats/_multivariate.py#L1495-L1514 | |
ApolloAuto/apollo-platform | 86d9dc6743b496ead18d597748ebabd34a513289 | ros/vision_opencv/image_geometry/src/image_geometry/cameramodels.py | python | PinholeCameraModel.getDeltaX | (self, deltaU, Z) | return Z * deltaU / fx | :param deltaU: delta u in pixels
:type deltaU: float
:param Z: Z, in cartesian space
:type Z: float
:rtype: float
Compute delta X, given Z in cartesian space and delta u in pixels.
For given Z, this is the i... | :param deltaU: delta u in pixels
:type deltaU: float
:param Z: Z, in cartesian space
:type Z: float
:rtype: float | [
":",
"param",
"deltaU",
":",
"delta",
"u",
"in",
"pixels",
":",
"type",
"deltaU",
":",
"float",
":",
"param",
"Z",
":",
"Z",
"in",
"cartesian",
"space",
":",
"type",
"Z",
":",
"float",
":",
"rtype",
":",
"float"
] | def getDeltaX(self, deltaU, Z):
"""
:param deltaU: delta u in pixels
:type deltaU: float
:param Z: Z, in cartesian space
:type Z: float
:rtype: float
Compute delta X, given Z in cartesian space and d... | [
"def",
"getDeltaX",
"(",
"self",
",",
"deltaU",
",",
"Z",
")",
":",
"fx",
"=",
"self",
".",
"P",
"[",
"0",
",",
"0",
"]",
"return",
"Z",
"*",
"deltaU",
"/",
"fx"
] | https://github.com/ApolloAuto/apollo-platform/blob/86d9dc6743b496ead18d597748ebabd34a513289/ros/vision_opencv/image_geometry/src/image_geometry/cameramodels.py#L179-L191 | |
wxWidgets/wxPython-Classic | 19571e1ae65f1ac445f5491474121998c97a1bf0 | src/msw/_misc.py | python | TimeSpan_Week | (*args) | return _misc_.TimeSpan_Week(*args) | TimeSpan_Week() -> TimeSpan | TimeSpan_Week() -> TimeSpan | [
"TimeSpan_Week",
"()",
"-",
">",
"TimeSpan"
] | def TimeSpan_Week(*args):
"""TimeSpan_Week() -> TimeSpan"""
return _misc_.TimeSpan_Week(*args) | [
"def",
"TimeSpan_Week",
"(",
"*",
"args",
")",
":",
"return",
"_misc_",
".",
"TimeSpan_Week",
"(",
"*",
"args",
")"
] | https://github.com/wxWidgets/wxPython-Classic/blob/19571e1ae65f1ac445f5491474121998c97a1bf0/src/msw/_misc.py#L4600-L4602 | |
liulei01/DRBox | b5c76e033c555c9009590ab384e1f7bd3c66c237 | scripts/cpp_lint.py | python | CheckSpacingForFunctionCall | (filename, line, linenum, error) | Checks for the correctness of various spacing around function calls.
Args:
filename: The name of the current file.
line: The text of the line to check.
linenum: The number of the line to check.
error: The function to call with any errors found. | Checks for the correctness of various spacing around function calls. | [
"Checks",
"for",
"the",
"correctness",
"of",
"various",
"spacing",
"around",
"function",
"calls",
"."
] | def CheckSpacingForFunctionCall(filename, line, linenum, error):
"""Checks for the correctness of various spacing around function calls.
Args:
filename: The name of the current file.
line: The text of the line to check.
linenum: The number of the line to check.
error: The function to call with any ... | [
"def",
"CheckSpacingForFunctionCall",
"(",
"filename",
",",
"line",
",",
"linenum",
",",
"error",
")",
":",
"# Since function calls often occur inside if/for/while/switch",
"# expressions - which have their own, more liberal conventions - we",
"# first see if we should be looking inside ... | https://github.com/liulei01/DRBox/blob/b5c76e033c555c9009590ab384e1f7bd3c66c237/scripts/cpp_lint.py#L2305-L2370 | ||
tensorflow/tensorflow | 419e3a6b650ea4bd1b0cba23c4348f8a69f3272e | tensorflow/python/distribute/values.py | python | MirroredVariable._write_object_proto | (self, proto, options) | Update a SavedObject proto for the caller.
If a DistributedVariable object supports this method, it will be called when
saving with a pre-built `SavedObject` proto representing the object, plus an
instance of `SaveOptions`. This method is then free to modify that proto
instance.
`DistributedVariab... | Update a SavedObject proto for the caller. | [
"Update",
"a",
"SavedObject",
"proto",
"for",
"the",
"caller",
"."
] | def _write_object_proto(self, proto, options):
"""Update a SavedObject proto for the caller.
If a DistributedVariable object supports this method, it will be called when
saving with a pre-built `SavedObject` proto representing the object, plus an
instance of `SaveOptions`. This method is then free to m... | [
"def",
"_write_object_proto",
"(",
"self",
",",
"proto",
",",
"options",
")",
":",
"super",
"(",
"MirroredVariable",
",",
"self",
")",
".",
"_write_object_proto",
"(",
"proto",
",",
"options",
")",
"values_util",
".",
"write_object_proto",
"(",
"self",
",",
... | https://github.com/tensorflow/tensorflow/blob/419e3a6b650ea4bd1b0cba23c4348f8a69f3272e/tensorflow/python/distribute/values.py#L1190-L1209 | ||
baidu/tera | dbcd28af792d879d961bf9fc7eb60de81b437646 | src/sdk/python/TeraSdk.py | python | Client.Close | (self) | 销毁这个client,释放底层资源,以后不得再使用这个对象 | 销毁这个client,释放底层资源,以后不得再使用这个对象 | [
"销毁这个client,释放底层资源,以后不得再使用这个对象"
] | def Close(self):
"""
销毁这个client,释放底层资源,以后不得再使用这个对象
"""
lib.tera_client_close(self.client) | [
"def",
"Close",
"(",
"self",
")",
":",
"lib",
".",
"tera_client_close",
"(",
"self",
".",
"client",
")"
] | https://github.com/baidu/tera/blob/dbcd28af792d879d961bf9fc7eb60de81b437646/src/sdk/python/TeraSdk.py#L267-L271 | ||
MegEngine/MegEngine | ce9ad07a27ec909fb8db4dd67943d24ba98fb93a | imperative/python/megengine/utils/network.py | python | NodeFilter.as_dict | (self) | return collections.OrderedDict((i.name, i) for i in self) | r"""construct an ordered dict to map from node names to objects in
this iterator | r"""construct an ordered dict to map from node names to objects in
this iterator | [
"r",
"construct",
"an",
"ordered",
"dict",
"to",
"map",
"from",
"node",
"names",
"to",
"objects",
"in",
"this",
"iterator"
] | def as_dict(self):
r"""construct an ordered dict to map from node names to objects in
this iterator
"""
return collections.OrderedDict((i.name, i) for i in self) | [
"def",
"as_dict",
"(",
"self",
")",
":",
"return",
"collections",
".",
"OrderedDict",
"(",
"(",
"i",
".",
"name",
",",
"i",
")",
"for",
"i",
"in",
"self",
")"
] | https://github.com/MegEngine/MegEngine/blob/ce9ad07a27ec909fb8db4dd67943d24ba98fb93a/imperative/python/megengine/utils/network.py#L735-L739 | |
hanpfei/chromium-net | 392cc1fa3a8f92f42e4071ab6e674d8e0482f83f | third_party/catapult/third_party/gsutil/third_party/boto/boto/route53/connection.py | python | Route53Connection.create_zone | (self, name, private_zone=False,
vpc_id=None, vpc_region=None) | return Zone(self, zone['CreateHostedZoneResponse']['HostedZone']) | Create a new Hosted Zone. Returns a Zone object for the newly
created Hosted Zone.
:type name: str
:param name: The name of the domain. This should be a
fully-specified domain, and should end with a final period
as the last label indication. If you omit the final perio... | Create a new Hosted Zone. Returns a Zone object for the newly
created Hosted Zone. | [
"Create",
"a",
"new",
"Hosted",
"Zone",
".",
"Returns",
"a",
"Zone",
"object",
"for",
"the",
"newly",
"created",
"Hosted",
"Zone",
"."
] | def create_zone(self, name, private_zone=False,
vpc_id=None, vpc_region=None):
"""
Create a new Hosted Zone. Returns a Zone object for the newly
created Hosted Zone.
:type name: str
:param name: The name of the domain. This should be a
fully-spec... | [
"def",
"create_zone",
"(",
"self",
",",
"name",
",",
"private_zone",
"=",
"False",
",",
"vpc_id",
"=",
"None",
",",
"vpc_region",
"=",
"None",
")",
":",
"zone",
"=",
"self",
".",
"create_hosted_zone",
"(",
"name",
",",
"private_zone",
"=",
"private_zone",
... | https://github.com/hanpfei/chromium-net/blob/392cc1fa3a8f92f42e4071ab6e674d8e0482f83f/third_party/catapult/third_party/gsutil/third_party/boto/boto/route53/connection.py#L506-L535 | |
y123456yz/reading-and-annotate-mongodb-3.6 | 93280293672ca7586dc24af18132aa61e4ed7fcf | mongo/buildscripts/idl/idl/errors.py | python | ParserError.__init__ | (self, error_id, msg, file_name, line, column) | Construct a parser error with source location information. | Construct a parser error with source location information. | [
"Construct",
"a",
"parser",
"error",
"with",
"source",
"location",
"information",
"."
] | def __init__(self, error_id, msg, file_name, line, column):
# type: (unicode, unicode, unicode, int, int) -> None
""""Construct a parser error with source location information."""
# pylint: disable=too-many-arguments
self.error_id = error_id
self.msg = msg
super(ParserErr... | [
"def",
"__init__",
"(",
"self",
",",
"error_id",
",",
"msg",
",",
"file_name",
",",
"line",
",",
"column",
")",
":",
"# type: (unicode, unicode, unicode, int, int) -> None",
"# pylint: disable=too-many-arguments",
"self",
".",
"error_id",
"=",
"error_id",
"self",
".",... | https://github.com/y123456yz/reading-and-annotate-mongodb-3.6/blob/93280293672ca7586dc24af18132aa61e4ed7fcf/mongo/buildscripts/idl/idl/errors.py#L105-L111 | ||
MicBosi/VisualizationLibrary | d2a0e321288152008957e29a0bc270ad192f75be | src/external/freetype/src/tools/docmaker/tohtml.py | python | HtmlFormatter.make_html_word | ( self, word ) | return html_quote( word ) | analyze a simple word to detect cross-references and styling | analyze a simple word to detect cross-references and styling | [
"analyze",
"a",
"simple",
"word",
"to",
"detect",
"cross",
"-",
"references",
"and",
"styling"
] | def make_html_word( self, word ):
"""analyze a simple word to detect cross-references and styling"""
# look for cross-references
m = re_crossref.match( word )
if m:
try:
name = m.group( 1 )
rest = m.group( 2 )
block = self.iden... | [
"def",
"make_html_word",
"(",
"self",
",",
"word",
")",
":",
"# look for cross-references",
"m",
"=",
"re_crossref",
".",
"match",
"(",
"word",
")",
"if",
"m",
":",
"try",
":",
"name",
"=",
"m",
".",
"group",
"(",
"1",
")",
"rest",
"=",
"m",
".",
"... | https://github.com/MicBosi/VisualizationLibrary/blob/d2a0e321288152008957e29a0bc270ad192f75be/src/external/freetype/src/tools/docmaker/tohtml.py#L255-L285 | |
hanpfei/chromium-net | 392cc1fa3a8f92f42e4071ab6e674d8e0482f83f | third_party/catapult/devil/devil/android/ports.py | python | IsDevicePortUsed | (device, device_port, state='') | return False | Checks whether the specified device port is used or not.
Args:
device: A DeviceUtils instance.
device_port: Port on device we want to check.
state: String of the specified state. Default is empty string, which
means any state.
Returns:
True if the port on device is already used, otherwi... | Checks whether the specified device port is used or not. | [
"Checks",
"whether",
"the",
"specified",
"device",
"port",
"is",
"used",
"or",
"not",
"."
] | def IsDevicePortUsed(device, device_port, state=''):
"""Checks whether the specified device port is used or not.
Args:
device: A DeviceUtils instance.
device_port: Port on device we want to check.
state: String of the specified state. Default is empty string, which
means any state.
Return... | [
"def",
"IsDevicePortUsed",
"(",
"device",
",",
"device_port",
",",
"state",
"=",
"''",
")",
":",
"base_urls",
"=",
"(",
"'127.0.0.1:%d'",
"%",
"device_port",
",",
"'localhost:%d'",
"%",
"device_port",
")",
"netstat_results",
"=",
"device",
".",
"RunShellCommand"... | https://github.com/hanpfei/chromium-net/blob/392cc1fa3a8f92f42e4071ab6e674d8e0482f83f/third_party/catapult/devil/devil/android/ports.py#L103-L129 | |
isl-org/Open3D | 79aec3ddde6a571ce2f28e4096477e52ec465244 | util/check_style.py | python | _glob_files | (directories, extensions) | return file_paths | Find files with certain extensions in directories recursively.
Args:
directories: list of directories, relative to the root Open3D repo directory.
extensions: list of extensions, e.g. ["cpp", "h"].
Return:
List of file paths. | Find files with certain extensions in directories recursively. | [
"Find",
"files",
"with",
"certain",
"extensions",
"in",
"directories",
"recursively",
"."
] | def _glob_files(directories, extensions):
"""
Find files with certain extensions in directories recursively.
Args:
directories: list of directories, relative to the root Open3D repo directory.
extensions: list of extensions, e.g. ["cpp", "h"].
Return:
List of file paths.
""... | [
"def",
"_glob_files",
"(",
"directories",
",",
"extensions",
")",
":",
"pwd",
"=",
"Path",
"(",
"os",
".",
"path",
".",
"dirname",
"(",
"os",
".",
"path",
".",
"abspath",
"(",
"__file__",
")",
")",
")",
"open3d_root_dir",
"=",
"pwd",
".",
"parent",
"... | https://github.com/isl-org/Open3D/blob/79aec3ddde6a571ce2f28e4096477e52ec465244/util/check_style.py#L85-L107 | |
aws/lumberyard | f85344403c1c2e77ec8c75deb2c116e97b713217 | dev/Tools/Python/3.7.10/mac/Python.framework/Versions/3.7/lib/python3.7/site-packages/botocore/retryhandler.py | python | delay_exponential | (base, growth_factor, attempts) | return time_to_sleep | Calculate time to sleep based on exponential function.
The format is::
base * growth_factor ^ (attempts - 1)
If ``base`` is set to 'rand' then a random number between
0 and 1 will be used as the base.
Base must be greater than 0, otherwise a ValueError will be
raised. | Calculate time to sleep based on exponential function. | [
"Calculate",
"time",
"to",
"sleep",
"based",
"on",
"exponential",
"function",
"."
] | def delay_exponential(base, growth_factor, attempts):
"""Calculate time to sleep based on exponential function.
The format is::
base * growth_factor ^ (attempts - 1)
If ``base`` is set to 'rand' then a random number between
0 and 1 will be used as the base.
Base must be greater than 0, ot... | [
"def",
"delay_exponential",
"(",
"base",
",",
"growth_factor",
",",
"attempts",
")",
":",
"if",
"base",
"==",
"'rand'",
":",
"base",
"=",
"random",
".",
"random",
"(",
")",
"elif",
"base",
"<=",
"0",
":",
"raise",
"ValueError",
"(",
"\"The 'base' param mus... | https://github.com/aws/lumberyard/blob/f85344403c1c2e77ec8c75deb2c116e97b713217/dev/Tools/Python/3.7.10/mac/Python.framework/Versions/3.7/lib/python3.7/site-packages/botocore/retryhandler.py#L39-L58 | |
NVIDIA/MDL-SDK | aa9642b2546ad7b6236b5627385d882c2ed83c5d | src/mdl/jit/llvm/dist/bindings/python/llvm/object.py | python | Symbol.address | (self) | return lib.LLVMGetSymbolAddress(self) | The address of this symbol, in long bytes. | The address of this symbol, in long bytes. | [
"The",
"address",
"of",
"this",
"symbol",
"in",
"long",
"bytes",
"."
] | def address(self):
"""The address of this symbol, in long bytes."""
if self.expired:
raise Exception('Symbol instance has expired.')
return lib.LLVMGetSymbolAddress(self) | [
"def",
"address",
"(",
"self",
")",
":",
"if",
"self",
".",
"expired",
":",
"raise",
"Exception",
"(",
"'Symbol instance has expired.'",
")",
"return",
"lib",
".",
"LLVMGetSymbolAddress",
"(",
"self",
")"
] | https://github.com/NVIDIA/MDL-SDK/blob/aa9642b2546ad7b6236b5627385d882c2ed83c5d/src/mdl/jit/llvm/dist/bindings/python/llvm/object.py#L314-L319 | |
wxWidgets/wxPython-Classic | 19571e1ae65f1ac445f5491474121998c97a1bf0 | wx/lib/agw/supertooltip.py | python | SuperToolTip.SetBodyImage | (self, bmp) | Sets the main body bitmap for :class:`SuperToolTip`.
:param `bmp`: the body bitmap, a valid :class:`Bitmap` object. | Sets the main body bitmap for :class:`SuperToolTip`. | [
"Sets",
"the",
"main",
"body",
"bitmap",
"for",
":",
"class",
":",
"SuperToolTip",
"."
] | def SetBodyImage(self, bmp):
"""
Sets the main body bitmap for :class:`SuperToolTip`.
:param `bmp`: the body bitmap, a valid :class:`Bitmap` object.
"""
self._embeddedImage = bmp
if self._superToolTip:
self._superToolTip.Invalidate() | [
"def",
"SetBodyImage",
"(",
"self",
",",
"bmp",
")",
":",
"self",
".",
"_embeddedImage",
"=",
"bmp",
"if",
"self",
".",
"_superToolTip",
":",
"self",
".",
"_superToolTip",
".",
"Invalidate",
"(",
")"
] | https://github.com/wxWidgets/wxPython-Classic/blob/19571e1ae65f1ac445f5491474121998c97a1bf0/wx/lib/agw/supertooltip.py#L1086-L1095 | ||
openvinotoolkit/openvino | dedcbeafa8b84cccdc55ca64b8da516682b381c7 | thirdparty/itt_collector/runtool/sea_runtool.py | python | TaskCombiner.context_switch | (self, time, cpu, prev, next) | Called to process context switch events on CPU.
:param cpu: CPU number (int)
:param prev: previous task description (dict. Example: {'tid': 2935135, 'state': 'S', 'name': u'vtplay', 'prio': 31})
:param next: next task description (dict. see above) | Called to process context switch events on CPU.
:param cpu: CPU number (int)
:param prev: previous task description (dict. Example: {'tid': 2935135, 'state': 'S', 'name': u'vtplay', 'prio': 31})
:param next: next task description (dict. see above) | [
"Called",
"to",
"process",
"context",
"switch",
"events",
"on",
"CPU",
".",
":",
"param",
"cpu",
":",
"CPU",
"number",
"(",
"int",
")",
":",
"param",
"prev",
":",
"previous",
"task",
"description",
"(",
"dict",
".",
"Example",
":",
"{",
"tid",
":",
"... | def context_switch(self, time, cpu, prev, next):
"""
Called to process context switch events on CPU.
:param cpu: CPU number (int)
:param prev: previous task description (dict. Example: {'tid': 2935135, 'state': 'S', 'name': u'vtplay', 'prio': 31})
:param next: next task descripti... | [
"def",
"context_switch",
"(",
"self",
",",
"time",
",",
"cpu",
",",
"prev",
",",
"next",
")",
":",
"pass"
] | https://github.com/openvinotoolkit/openvino/blob/dedcbeafa8b84cccdc55ca64b8da516682b381c7/thirdparty/itt_collector/runtool/sea_runtool.py#L1887-L1894 | ||
Xilinx/Vitis-AI | fc74d404563d9951b57245443c73bef389f3657f | tools/Vitis-AI-Quantizer/vai_q_tensorflow1.x/tensorflow/python/eager/function.py | python | Function._create_graph_function | (self, args, kwargs, override_flat_arg_shapes=None) | return graph_function | Create a `ConcreteFunction` from `args` and `kwargs`. | Create a `ConcreteFunction` from `args` and `kwargs`. | [
"Create",
"a",
"ConcreteFunction",
"from",
"args",
"and",
"kwargs",
"."
] | def _create_graph_function(self, args, kwargs, override_flat_arg_shapes=None):
"""Create a `ConcreteFunction` from `args` and `kwargs`."""
if self.input_signature is None:
arglen = len(args)
else:
arglen = len(self.input_signature)
base_arg_names = self._function_spec.arg_names[:arglen]
... | [
"def",
"_create_graph_function",
"(",
"self",
",",
"args",
",",
"kwargs",
",",
"override_flat_arg_shapes",
"=",
"None",
")",
":",
"if",
"self",
".",
"input_signature",
"is",
"None",
":",
"arglen",
"=",
"len",
"(",
"args",
")",
"else",
":",
"arglen",
"=",
... | https://github.com/Xilinx/Vitis-AI/blob/fc74d404563d9951b57245443c73bef389f3657f/tools/Vitis-AI-Quantizer/vai_q_tensorflow1.x/tensorflow/python/eager/function.py#L2012-L2045 | |
sdhash/sdhash | b9eff63e4e5867e910f41fd69032bbb1c94a2a5e | sdhash-ui/cherrypy/_cpchecker.py | python | Checker._compat | (self, config) | Process config and warn on each obsolete or deprecated entry. | Process config and warn on each obsolete or deprecated entry. | [
"Process",
"config",
"and",
"warn",
"on",
"each",
"obsolete",
"or",
"deprecated",
"entry",
"."
] | def _compat(self, config):
"""Process config and warn on each obsolete or deprecated entry."""
for section, conf in config.items():
if isinstance(conf, dict):
for k, v in conf.items():
if k in self.obsolete:
warnings.warn("%r is obs... | [
"def",
"_compat",
"(",
"self",
",",
"config",
")",
":",
"for",
"section",
",",
"conf",
"in",
"config",
".",
"items",
"(",
")",
":",
"if",
"isinstance",
"(",
"conf",
",",
"dict",
")",
":",
"for",
"k",
",",
"v",
"in",
"conf",
".",
"items",
"(",
"... | https://github.com/sdhash/sdhash/blob/b9eff63e4e5867e910f41fd69032bbb1c94a2a5e/sdhash-ui/cherrypy/_cpchecker.py#L187-L206 | ||
cinder/Cinder | e83f5bb9c01a63eec20168d02953a0879e5100f7 | src/freetype/tools/glnames.py | python | dump_encoding | ( file, encoding_name, encoding_list ) | dump a given encoding | dump a given encoding | [
"dump",
"a",
"given",
"encoding"
] | def dump_encoding( file, encoding_name, encoding_list ):
"""dump a given encoding"""
write = file.write
write( " /* the following are indices into the SID name table */\n" )
write( "#ifndef DEFINE_PS_TABLES_DATA\n" )
write( "#ifdef __cplusplus\n" )
write( ' extern "C"\n' )
write( "#else\n" )
write(... | [
"def",
"dump_encoding",
"(",
"file",
",",
"encoding_name",
",",
"encoding_list",
")",
":",
"write",
"=",
"file",
".",
"write",
"write",
"(",
"\" /* the following are indices into the SID name table */\\n\"",
")",
"write",
"(",
"\"#ifndef DEFINE_PS_TABLES_DATA\\n\"",
")"... | https://github.com/cinder/Cinder/blob/e83f5bb9c01a63eec20168d02953a0879e5100f7/src/freetype/tools/glnames.py#L5211-L5245 | ||
aws/lumberyard | f85344403c1c2e77ec8c75deb2c116e97b713217 | dev/Tools/Python/3.7.10/linux_x64/lib/python3.7/concurrent/futures/process.py | python | _sendback_result | (result_queue, work_id, result=None, exception=None) | Safely send back the given result or exception | Safely send back the given result or exception | [
"Safely",
"send",
"back",
"the",
"given",
"result",
"or",
"exception"
] | def _sendback_result(result_queue, work_id, result=None, exception=None):
"""Safely send back the given result or exception"""
try:
result_queue.put(_ResultItem(work_id, result=result,
exception=exception))
except BaseException as e:
exc = _ExceptionWithT... | [
"def",
"_sendback_result",
"(",
"result_queue",
",",
"work_id",
",",
"result",
"=",
"None",
",",
"exception",
"=",
"None",
")",
":",
"try",
":",
"result_queue",
".",
"put",
"(",
"_ResultItem",
"(",
"work_id",
",",
"result",
"=",
"result",
",",
"exception",... | https://github.com/aws/lumberyard/blob/f85344403c1c2e77ec8c75deb2c116e97b713217/dev/Tools/Python/3.7.10/linux_x64/lib/python3.7/concurrent/futures/process.py#L201-L208 | ||
lfortran/lfortran | 6c96b79f5d86746cb2ec5acc86d4b0272ea34631 | grammar/asdl.py | python | parse | (filename) | Parse ASDL from the given file and return a Module node describing it. | Parse ASDL from the given file and return a Module node describing it. | [
"Parse",
"ASDL",
"from",
"the",
"given",
"file",
"and",
"return",
"a",
"Module",
"node",
"describing",
"it",
"."
] | def parse(filename):
"""Parse ASDL from the given file and return a Module node describing it."""
with open(filename) as f:
parser = ASDLParser()
return parser.parse(f.read()) | [
"def",
"parse",
"(",
"filename",
")",
":",
"with",
"open",
"(",
"filename",
")",
"as",
"f",
":",
"parser",
"=",
"ASDLParser",
"(",
")",
"return",
"parser",
".",
"parse",
"(",
"f",
".",
"read",
"(",
")",
")"
] | https://github.com/lfortran/lfortran/blob/6c96b79f5d86746cb2ec5acc86d4b0272ea34631/grammar/asdl.py#L195-L199 | ||
catboost/catboost | 167f64f237114a4d10b2b4ee42adb4569137debe | contrib/tools/python/src/Lib/lib-tk/Tkinter.py | python | PanedWindow.__init__ | (self, master=None, cnf={}, **kw) | Construct a panedwindow widget with the parent MASTER.
STANDARD OPTIONS
background, borderwidth, cursor, height,
orient, relief, width
WIDGET-SPECIFIC OPTIONS
handlepad, handlesize, opaqueresize,
sashcursor, sashpad, sashrelief,
sashwidth, ... | Construct a panedwindow widget with the parent MASTER. | [
"Construct",
"a",
"panedwindow",
"widget",
"with",
"the",
"parent",
"MASTER",
"."
] | def __init__(self, master=None, cnf={}, **kw):
"""Construct a panedwindow widget with the parent MASTER.
STANDARD OPTIONS
background, borderwidth, cursor, height,
orient, relief, width
WIDGET-SPECIFIC OPTIONS
handlepad, handlesize, opaqueresize,
... | [
"def",
"__init__",
"(",
"self",
",",
"master",
"=",
"None",
",",
"cnf",
"=",
"{",
"}",
",",
"*",
"*",
"kw",
")",
":",
"Widget",
".",
"__init__",
"(",
"self",
",",
"master",
",",
"'panedwindow'",
",",
"cnf",
",",
"kw",
")"
] | https://github.com/catboost/catboost/blob/167f64f237114a4d10b2b4ee42adb4569137debe/contrib/tools/python/src/Lib/lib-tk/Tkinter.py#L3631-L3645 | ||
tensorflow/tensorflow | 419e3a6b650ea4bd1b0cba23c4348f8a69f3272e | tensorflow/python/keras/backend.py | python | sum | (x, axis=None, keepdims=False) | return math_ops.reduce_sum(x, axis, keepdims) | Sum of the values in a tensor, alongside the specified axis.
Args:
x: A tensor or variable.
axis: An integer, the axis to sum over.
keepdims: A boolean, whether to keep the dimensions or not.
If `keepdims` is `False`, the rank of the tensor is reduced
by 1. If `keepdims` is `Tru... | Sum of the values in a tensor, alongside the specified axis. | [
"Sum",
"of",
"the",
"values",
"in",
"a",
"tensor",
"alongside",
"the",
"specified",
"axis",
"."
] | def sum(x, axis=None, keepdims=False):
"""Sum of the values in a tensor, alongside the specified axis.
Args:
x: A tensor or variable.
axis: An integer, the axis to sum over.
keepdims: A boolean, whether to keep the dimensions or not.
If `keepdims` is `False`, the rank of the tensor is r... | [
"def",
"sum",
"(",
"x",
",",
"axis",
"=",
"None",
",",
"keepdims",
"=",
"False",
")",
":",
"return",
"math_ops",
".",
"reduce_sum",
"(",
"x",
",",
"axis",
",",
"keepdims",
")"
] | https://github.com/tensorflow/tensorflow/blob/419e3a6b650ea4bd1b0cba23c4348f8a69f3272e/tensorflow/python/keras/backend.py#L2322-L2336 | |
RobotLocomotion/drake | 0e18a34604c45ed65bc9018a54f7610f91cdad5b | tools/workspace/drake_visualizer/_drake_visualizer_builtin_scripts/show_hydroelastic_contact.py | python | _BodyContact.clean | (self, timestamp: int) | Removes all contacts that don't match the given timestamp. | Removes all contacts that don't match the given timestamp. | [
"Removes",
"all",
"contacts",
"that",
"don",
"t",
"match",
"the",
"given",
"timestamp",
"."
] | def clean(self, timestamp: int):
"""Removes all contacts that don't match the given timestamp."""
to_remove = []
for key, contact in self._contacts.items():
if contact.timestamp != timestamp:
contact.clear()
to_remove.append(key)
for key in to_... | [
"def",
"clean",
"(",
"self",
",",
"timestamp",
":",
"int",
")",
":",
"to_remove",
"=",
"[",
"]",
"for",
"key",
",",
"contact",
"in",
"self",
".",
"_contacts",
".",
"items",
"(",
")",
":",
"if",
"contact",
".",
"timestamp",
"!=",
"timestamp",
":",
"... | https://github.com/RobotLocomotion/drake/blob/0e18a34604c45ed65bc9018a54f7610f91cdad5b/tools/workspace/drake_visualizer/_drake_visualizer_builtin_scripts/show_hydroelastic_contact.py#L681-L691 | ||
wxWidgets/wxPython-Classic | 19571e1ae65f1ac445f5491474121998c97a1bf0 | wx/lib/agw/hypertreelist.py | python | TreeListHeaderWindow.SetCustomRenderer | (self, renderer=None) | Associate a custom renderer with the header - all columns will use it
:param `renderer`: a class able to correctly render header buttons
:note: the renderer class **must** implement the method `DrawHeaderButton` | Associate a custom renderer with the header - all columns will use it | [
"Associate",
"a",
"custom",
"renderer",
"with",
"the",
"header",
"-",
"all",
"columns",
"will",
"use",
"it"
] | def SetCustomRenderer(self, renderer=None):
"""
Associate a custom renderer with the header - all columns will use it
:param `renderer`: a class able to correctly render header buttons
:note: the renderer class **must** implement the method `DrawHeaderButton`
"""
self.... | [
"def",
"SetCustomRenderer",
"(",
"self",
",",
"renderer",
"=",
"None",
")",
":",
"self",
".",
"_headerCustomRenderer",
"=",
"renderer"
] | https://github.com/wxWidgets/wxPython-Classic/blob/19571e1ae65f1ac445f5491474121998c97a1bf0/wx/lib/agw/hypertreelist.py#L916-L925 | ||
tensorflow/tensorflow | 419e3a6b650ea4bd1b0cba23c4348f8a69f3272e | tensorflow/python/keras/engine/keras_tensor.py | python | KerasTensor.dtype | (self) | return self._type_spec._dtype | Returns the `dtype` symbolically inferred for this Keras output. | Returns the `dtype` symbolically inferred for this Keras output. | [
"Returns",
"the",
"dtype",
"symbolically",
"inferred",
"for",
"this",
"Keras",
"output",
"."
] | def dtype(self):
"""Returns the `dtype` symbolically inferred for this Keras output."""
# TODO(kaftan): This is only valid for normal/sparse/ragged tensors.
# may need to raise an error when it's not valid for a type_spec,
# but some keras code (e.g. build-related stuff) will likely fail when
# it c... | [
"def",
"dtype",
"(",
"self",
")",
":",
"# TODO(kaftan): This is only valid for normal/sparse/ragged tensors.",
"# may need to raise an error when it's not valid for a type_spec,",
"# but some keras code (e.g. build-related stuff) will likely fail when",
"# it can't access shape or dtype",
"retur... | https://github.com/tensorflow/tensorflow/blob/419e3a6b650ea4bd1b0cba23c4348f8a69f3272e/tensorflow/python/keras/engine/keras_tensor.py#L322-L328 | |
OGRECave/ogre-next | 287307980e6de8910f04f3cc0994451b075071fd | Tools/BlenderExport/ogrepkg/base.py | python | Log.__init__ | (self) | return | Constructor. | Constructor. | [
"Constructor",
"."
] | def __init__(self):
"""Constructor.
"""
Singleton.__init__(self)
Model.__init__(self)
self.clear()
return | [
"def",
"__init__",
"(",
"self",
")",
":",
"Singleton",
".",
"__init__",
"(",
"self",
")",
"Model",
".",
"__init__",
"(",
"self",
")",
"self",
".",
"clear",
"(",
")",
"return"
] | https://github.com/OGRECave/ogre-next/blob/287307980e6de8910f04f3cc0994451b075071fd/Tools/BlenderExport/ogrepkg/base.py#L117-L123 | |
catboost/catboost | 167f64f237114a4d10b2b4ee42adb4569137debe | contrib/python/pandas/py2/pandas/io/sql.py | python | _wrap_result | (data, columns, index_col=None, coerce_float=True,
parse_dates=None) | return frame | Wrap result set of query in a DataFrame. | Wrap result set of query in a DataFrame. | [
"Wrap",
"result",
"set",
"of",
"query",
"in",
"a",
"DataFrame",
"."
] | def _wrap_result(data, columns, index_col=None, coerce_float=True,
parse_dates=None):
"""Wrap result set of query in a DataFrame."""
frame = DataFrame.from_records(data, columns=columns,
coerce_float=coerce_float)
frame = _parse_date_columns(frame, parse... | [
"def",
"_wrap_result",
"(",
"data",
",",
"columns",
",",
"index_col",
"=",
"None",
",",
"coerce_float",
"=",
"True",
",",
"parse_dates",
"=",
"None",
")",
":",
"frame",
"=",
"DataFrame",
".",
"from_records",
"(",
"data",
",",
"columns",
"=",
"columns",
"... | https://github.com/catboost/catboost/blob/167f64f237114a4d10b2b4ee42adb4569137debe/contrib/python/pandas/py2/pandas/io/sql.py#L136-L148 | |
root-project/root | fcd3583bb14852bf2e8cd2415717cbaac0e75896 | main/python/cmdLineUtils.py | python | isTree | (rootFile,pathSplit) | Return True if the object, corresponding to (rootFile,pathSplit), inherits from TTree | Return True if the object, corresponding to (rootFile,pathSplit), inherits from TTree | [
"Return",
"True",
"if",
"the",
"object",
"corresponding",
"to",
"(",
"rootFile",
"pathSplit",
")",
"inherits",
"from",
"TTree"
] | def isTree(rootFile,pathSplit):
"""
Return True if the object, corresponding to (rootFile,pathSplit), inherits from TTree
"""
if pathSplit == []: return False # the object is the rootFile itself
else: return isTreeKey(getKey(rootFile,pathSplit)) | [
"def",
"isTree",
"(",
"rootFile",
",",
"pathSplit",
")",
":",
"if",
"pathSplit",
"==",
"[",
"]",
":",
"return",
"False",
"# the object is the rootFile itself",
"else",
":",
"return",
"isTreeKey",
"(",
"getKey",
"(",
"rootFile",
",",
"pathSplit",
")",
")"
] | https://github.com/root-project/root/blob/fcd3583bb14852bf2e8cd2415717cbaac0e75896/main/python/cmdLineUtils.py#L223-L228 | ||
SequoiaDB/SequoiaDB | 2894ed7e5bd6fe57330afc900cf76d0ff0df9f64 | driver/python/pysequoiadb/collectionspace.py | python | collectionspace.__getattr__ | (self, name) | support client.cs to access to collection.
eg.
cc = client()
cs = cc.test
cl = cs.test_cl # access to collection named 'test_cl'
and we should pass '__members__' and '__methods__',
becasue dir(cc) will invoke __getattr__("__members__") and
... | support client.cs to access to collection. | [
"support",
"client",
".",
"cs",
"to",
"access",
"to",
"collection",
"."
] | def __getattr__(self, name):
"""support client.cs to access to collection.
eg.
cc = client()
cs = cc.test
cl = cs.test_cl # access to collection named 'test_cl'
and we should pass '__members__' and '__methods__',
becasue dir(cc) will invoke __... | [
"def",
"__getattr__",
"(",
"self",
",",
"name",
")",
":",
"if",
"'__members__'",
"==",
"name",
"or",
"'__methods__'",
"==",
"name",
":",
"pass",
"else",
":",
"cl",
"=",
"collection",
"(",
")",
"try",
":",
"rc",
"=",
"sdb",
".",
"cs_get_collection",
"("... | https://github.com/SequoiaDB/SequoiaDB/blob/2894ed7e5bd6fe57330afc900cf76d0ff0df9f64/driver/python/pysequoiadb/collectionspace.py#L87-L115 | ||
natanielruiz/android-yolo | 1ebb54f96a67a20ff83ddfc823ed83a13dc3a47f | jni-build/jni/include/tensorflow/models/rnn/translate/translate.py | python | self_test | () | Test the translation model. | Test the translation model. | [
"Test",
"the",
"translation",
"model",
"."
] | def self_test():
"""Test the translation model."""
with tf.Session() as sess:
print("Self-test for neural translation model.")
# Create model with vocabularies of 10, 2 small buckets, 2 layers of 32.
model = seq2seq_model.Seq2SeqModel(10, 10, [(3, 3), (6, 6)], 32, 2,
... | [
"def",
"self_test",
"(",
")",
":",
"with",
"tf",
".",
"Session",
"(",
")",
"as",
"sess",
":",
"print",
"(",
"\"Self-test for neural translation model.\"",
")",
"# Create model with vocabularies of 10, 2 small buckets, 2 layers of 32.",
"model",
"=",
"seq2seq_model",
".",
... | https://github.com/natanielruiz/android-yolo/blob/1ebb54f96a67a20ff83ddfc823ed83a13dc3a47f/jni-build/jni/include/tensorflow/models/rnn/translate/translate.py#L250-L267 | ||
deepmind/open_spiel | 4ca53bea32bb2875c7385d215424048ae92f78c8 | open_spiel/python/jax/nfsp.py | python | ReservoirBuffer.sample | (self, num_samples) | return random.sample(self._data, num_samples) | Returns `num_samples` uniformly sampled from the buffer.
Args:
num_samples: `int`, number of samples to draw.
Returns:
An iterable over `num_samples` random elements of the buffer.
Raises:
ValueError: If there are less than `num_samples` elements in the buffer | Returns `num_samples` uniformly sampled from the buffer. | [
"Returns",
"num_samples",
"uniformly",
"sampled",
"from",
"the",
"buffer",
"."
] | def sample(self, num_samples):
"""Returns `num_samples` uniformly sampled from the buffer.
Args:
num_samples: `int`, number of samples to draw.
Returns:
An iterable over `num_samples` random elements of the buffer.
Raises:
ValueError: If there are less than `num_samples` elements in... | [
"def",
"sample",
"(",
"self",
",",
"num_samples",
")",
":",
"if",
"len",
"(",
"self",
".",
"_data",
")",
"<",
"num_samples",
":",
"raise",
"ValueError",
"(",
"\"{} elements could not be sampled from size {}\"",
".",
"format",
"(",
"num_samples",
",",
"len",
"(... | https://github.com/deepmind/open_spiel/blob/4ca53bea32bb2875c7385d215424048ae92f78c8/open_spiel/python/jax/nfsp.py#L361-L376 | |
cms-sw/cmssw | fd9de012d503d3405420bcbeec0ec879baa57cf2 | Configuration/PyReleaseValidation/python/relval_machine.py | python | convert_keys_to_string | (dictionary) | Recursively converts dictionary keys to strings.
Utility to help deal with unicode keys in dictionaries created from json requests.
In order to pass dict to function as **kwarg we should transform key/value to str. | Recursively converts dictionary keys to strings.
Utility to help deal with unicode keys in dictionaries created from json requests.
In order to pass dict to function as **kwarg we should transform key/value to str. | [
"Recursively",
"converts",
"dictionary",
"keys",
"to",
"strings",
".",
"Utility",
"to",
"help",
"deal",
"with",
"unicode",
"keys",
"in",
"dictionaries",
"created",
"from",
"json",
"requests",
".",
"In",
"order",
"to",
"pass",
"dict",
"to",
"function",
"as",
... | def convert_keys_to_string(dictionary):
""" Recursively converts dictionary keys to strings.
Utility to help deal with unicode keys in dictionaries created from json requests.
In order to pass dict to function as **kwarg we should transform key/value to str.
"""
if isinstance(dictionary, str... | [
"def",
"convert_keys_to_string",
"(",
"dictionary",
")",
":",
"if",
"isinstance",
"(",
"dictionary",
",",
"str",
")",
":",
"return",
"str",
"(",
"dictionary",
")",
"elif",
"isinstance",
"(",
"dictionary",
",",
"collections",
".",
"Mapping",
")",
":",
"return... | https://github.com/cms-sw/cmssw/blob/fd9de012d503d3405420bcbeec0ec879baa57cf2/Configuration/PyReleaseValidation/python/relval_machine.py#L35-L47 | ||
okex/V3-Open-API-SDK | c5abb0db7e2287718e0055e17e57672ce0ec7fd9 | okex-python-sdk-api/venv/Lib/site-packages/pip-19.0.3-py3.8.egg/pip/_vendor/cachecontrol/controller.py | python | CacheController._urlnorm | (cls, uri) | return defrag_uri | Normalize the URL to create a safe key for the cache | Normalize the URL to create a safe key for the cache | [
"Normalize",
"the",
"URL",
"to",
"create",
"a",
"safe",
"key",
"for",
"the",
"cache"
] | def _urlnorm(cls, uri):
"""Normalize the URL to create a safe key for the cache"""
(scheme, authority, path, query, fragment) = parse_uri(uri)
if not scheme or not authority:
raise Exception("Only absolute URIs are allowed. uri = %s" % uri)
scheme = scheme.lower()
au... | [
"def",
"_urlnorm",
"(",
"cls",
",",
"uri",
")",
":",
"(",
"scheme",
",",
"authority",
",",
"path",
",",
"query",
",",
"fragment",
")",
"=",
"parse_uri",
"(",
"uri",
")",
"if",
"not",
"scheme",
"or",
"not",
"authority",
":",
"raise",
"Exception",
"(",... | https://github.com/okex/V3-Open-API-SDK/blob/c5abb0db7e2287718e0055e17e57672ce0ec7fd9/okex-python-sdk-api/venv/Lib/site-packages/pip-19.0.3-py3.8.egg/pip/_vendor/cachecontrol/controller.py#L43-L60 | |
plumonito/dtslam | 5994bb9cf7a11981b830370db206bceb654c085d | 3rdparty/opencv-git/doc/pattern_tools/svgfig.py | python | Frame.__init__ | (self, xmin, xmax, ymin, ymax, *d, **kwds) | Acts like Fig, but draws a coordinate frame around the data. You also need to supply plot ranges.
Frame(xmin, xmax, ymin, ymax, obj, obj, obj..., keyword options...)
xmin, xmax required minimum and maximum x values (in the objs' coordinates)
ymin, ymax required minimum ... | Acts like Fig, but draws a coordinate frame around the data. You also need to supply plot ranges. | [
"Acts",
"like",
"Fig",
"but",
"draws",
"a",
"coordinate",
"frame",
"around",
"the",
"data",
".",
"You",
"also",
"need",
"to",
"supply",
"plot",
"ranges",
"."
] | def __init__(self, xmin, xmax, ymin, ymax, *d, **kwds):
"""Acts like Fig, but draws a coordinate frame around the data. You also need to supply plot ranges.
Frame(xmin, xmax, ymin, ymax, obj, obj, obj..., keyword options...)
xmin, xmax required minimum and maximum x values (in the ... | [
"def",
"__init__",
"(",
"self",
",",
"xmin",
",",
"xmax",
",",
"ymin",
",",
"ymax",
",",
"*",
"d",
",",
"*",
"*",
"kwds",
")",
":",
"self",
".",
"xmin",
",",
"self",
".",
"xmax",
",",
"self",
".",
"ymin",
",",
"self",
".",
"ymax",
"=",
"xmin"... | https://github.com/plumonito/dtslam/blob/5994bb9cf7a11981b830370db206bceb654c085d/3rdparty/opencv-git/doc/pattern_tools/svgfig.py#L971-L1042 | ||
opencv/opencv | 76aff8478883858f0e46746044348ebb16dc3c67 | samples/dnn/speech_recognition.py | python | FilterbankFeatures.frame | (self, x, frame_length, hop_length) | return np.lib.stride_tricks.as_strided(x, shape=shape, strides=strides) | Slices a data array into (overlapping) frames.
args:
x : array to frame
frame_length : length of frame
hop_length : Number of steps to advance between frames
return : A framed view of `x` | Slices a data array into (overlapping) frames.
args:
x : array to frame
frame_length : length of frame
hop_length : Number of steps to advance between frames
return : A framed view of `x` | [
"Slices",
"a",
"data",
"array",
"into",
"(",
"overlapping",
")",
"frames",
".",
"args",
":",
"x",
":",
"array",
"to",
"frame",
"frame_length",
":",
"length",
"of",
"frame",
"hop_length",
":",
"Number",
"of",
"steps",
"to",
"advance",
"between",
"frames",
... | def frame(self, x, frame_length, hop_length):
'''
Slices a data array into (overlapping) frames.
args:
x : array to frame
frame_length : length of frame
hop_length : Number of steps to advance between frames
return : A framed vi... | [
"def",
"frame",
"(",
"self",
",",
"x",
",",
"frame_length",
",",
"hop_length",
")",
":",
"if",
"x",
".",
"shape",
"[",
"-",
"1",
"]",
"<",
"frame_length",
":",
"raise",
"Exception",
"(",
"\"Input is too short (n={:d})\"",
"\" for frame_length={:d}\"",
".",
"... | https://github.com/opencv/opencv/blob/76aff8478883858f0e46746044348ebb16dc3c67/samples/dnn/speech_recognition.py#L281-L301 | |
BlzFans/wke | b0fa21158312e40c5fbd84682d643022b6c34a93 | cygwin/lib/python2.6/pydoc.py | python | HTMLDoc.docother | (self, object, name=None, mod=None, *ignored) | return lhs + self.repr(object) | Produce HTML documentation for a data object. | Produce HTML documentation for a data object. | [
"Produce",
"HTML",
"documentation",
"for",
"a",
"data",
"object",
"."
] | def docother(self, object, name=None, mod=None, *ignored):
"""Produce HTML documentation for a data object."""
lhs = name and '<strong>%s</strong> = ' % name or ''
return lhs + self.repr(object) | [
"def",
"docother",
"(",
"self",
",",
"object",
",",
"name",
"=",
"None",
",",
"mod",
"=",
"None",
",",
"*",
"ignored",
")",
":",
"lhs",
"=",
"name",
"and",
"'<strong>%s</strong> = '",
"%",
"name",
"or",
"''",
"return",
"lhs",
"+",
"self",
".",
"repr"... | https://github.com/BlzFans/wke/blob/b0fa21158312e40c5fbd84682d643022b6c34a93/cygwin/lib/python2.6/pydoc.py#L918-L921 | |
openthread/openthread | 9fcdbed9c526c70f1556d1ed84099c1535c7cd32 | tools/otci/otci/otci.py | python | OTCI.dns_set_config | (self,
server: Tuple[Union[str, ipaddress.IPv6Address], int],
response_timeout: int = None,
max_tx_attempts: int = None,
recursion_desired: bool = None) | Set DNS client query config. | Set DNS client query config. | [
"Set",
"DNS",
"client",
"query",
"config",
"."
] | def dns_set_config(self,
server: Tuple[Union[str, ipaddress.IPv6Address], int],
response_timeout: int = None,
max_tx_attempts: int = None,
recursion_desired: bool = None):
"""Set DNS client query config."""
cmd =... | [
"def",
"dns_set_config",
"(",
"self",
",",
"server",
":",
"Tuple",
"[",
"Union",
"[",
"str",
",",
"ipaddress",
".",
"IPv6Address",
"]",
",",
"int",
"]",
",",
"response_timeout",
":",
"int",
"=",
"None",
",",
"max_tx_attempts",
":",
"int",
"=",
"None",
... | https://github.com/openthread/openthread/blob/9fcdbed9c526c70f1556d1ed84099c1535c7cd32/tools/otci/otci/otci.py#L799-L817 | ||
catboost/catboost | 167f64f237114a4d10b2b4ee42adb4569137debe | contrib/python/scipy/py2/scipy/signal/signaltools.py | python | sosfiltfilt | (sos, x, axis=-1, padtype='odd', padlen=None) | return y | A forward-backward digital filter using cascaded second-order sections.
See `filtfilt` for more complete information about this method.
Parameters
----------
sos : array_like
Array of second-order filter coefficients, must have shape
``(n_sections, 6)``. Each row corresponds to a secon... | A forward-backward digital filter using cascaded second-order sections. | [
"A",
"forward",
"-",
"backward",
"digital",
"filter",
"using",
"cascaded",
"second",
"-",
"order",
"sections",
"."
] | def sosfiltfilt(sos, x, axis=-1, padtype='odd', padlen=None):
"""
A forward-backward digital filter using cascaded second-order sections.
See `filtfilt` for more complete information about this method.
Parameters
----------
sos : array_like
Array of second-order filter coefficients, mu... | [
"def",
"sosfiltfilt",
"(",
"sos",
",",
"x",
",",
"axis",
"=",
"-",
"1",
",",
"padtype",
"=",
"'odd'",
",",
"padlen",
"=",
"None",
")",
":",
"sos",
",",
"n_sections",
"=",
"_validate_sos",
"(",
"sos",
")",
"# `method` is \"pad\"...",
"ntaps",
"=",
"2",
... | https://github.com/catboost/catboost/blob/167f64f237114a4d10b2b4ee42adb4569137debe/contrib/python/scipy/py2/scipy/signal/signaltools.py#L3299-L3407 | |
echronos/echronos | c996f1d2c8af6c6536205eb319c1bf1d4d84569c | external_tools/ply_info/example/BASIC/basparse.py | python | p_number | (p) | number : INTEGER
| FLOAT | number : INTEGER
| FLOAT | [
"number",
":",
"INTEGER",
"|",
"FLOAT"
] | def p_number(p):
'''number : INTEGER
| FLOAT'''
p[0] = eval(p[1]) | [
"def",
"p_number",
"(",
"p",
")",
":",
"p",
"[",
"0",
"]",
"=",
"eval",
"(",
"p",
"[",
"1",
"]",
")"
] | https://github.com/echronos/echronos/blob/c996f1d2c8af6c6536205eb319c1bf1d4d84569c/external_tools/ply_info/example/BASIC/basparse.py#L358-L361 | ||
windystrife/UnrealEngine_NVIDIAGameWorks | b50e6338a7c5b26374d66306ebc7807541ff815e | Engine/Extras/ThirdPartyNotUE/emsdk/Win64/python/2.7.5.3_64bit/Lib/site-packages/pip/commands/search.py | python | transform_hits | (hits) | return package_list | The list from pypi is really a list of versions. We want a list of
packages with the list of versions stored inline. This converts the
list from pypi into one we can use. | The list from pypi is really a list of versions. We want a list of
packages with the list of versions stored inline. This converts the
list from pypi into one we can use. | [
"The",
"list",
"from",
"pypi",
"is",
"really",
"a",
"list",
"of",
"versions",
".",
"We",
"want",
"a",
"list",
"of",
"packages",
"with",
"the",
"list",
"of",
"versions",
"stored",
"inline",
".",
"This",
"converts",
"the",
"list",
"from",
"pypi",
"into",
... | def transform_hits(hits):
"""
The list from pypi is really a list of versions. We want a list of
packages with the list of versions stored inline. This converts the
list from pypi into one we can use.
"""
packages = {}
for hit in hits:
name = hit['name']
summary = hit['summar... | [
"def",
"transform_hits",
"(",
"hits",
")",
":",
"packages",
"=",
"{",
"}",
"for",
"hit",
"in",
"hits",
":",
"name",
"=",
"hit",
"[",
"'name'",
"]",
"summary",
"=",
"hit",
"[",
"'summary'",
"]",
"version",
"=",
"hit",
"[",
"'version'",
"]",
"score",
... | https://github.com/windystrife/UnrealEngine_NVIDIAGameWorks/blob/b50e6338a7c5b26374d66306ebc7807541ff815e/Engine/Extras/ThirdPartyNotUE/emsdk/Win64/python/2.7.5.3_64bit/Lib/site-packages/pip/commands/search.py#L56-L83 | |
miyosuda/TensorFlowAndroidDemo | 35903e0221aa5f109ea2dbef27f20b52e317f42d | jni-build/jni/include/tensorflow/contrib/learn/python/learn/estimators/base.py | python | TensorFlowEstimator.save | (self, path) | Saves checkpoints and graph to given path.
Args:
path: Folder to save model to. | Saves checkpoints and graph to given path. | [
"Saves",
"checkpoints",
"and",
"graph",
"to",
"given",
"path",
"."
] | def save(self, path):
"""Saves checkpoints and graph to given path.
Args:
path: Folder to save model to.
"""
if self._graph is None:
raise NotFittedError
# Copy model dir into new path.
_copy_dir(self.model_dir, path)
# Save model definition.
all_params = self.get_params()... | [
"def",
"save",
"(",
"self",
",",
"path",
")",
":",
"if",
"self",
".",
"_graph",
"is",
"None",
":",
"raise",
"NotFittedError",
"# Copy model dir into new path.",
"_copy_dir",
"(",
"self",
".",
"model_dir",
",",
"path",
")",
"# Save model definition.",
"all_params... | https://github.com/miyosuda/TensorFlowAndroidDemo/blob/35903e0221aa5f109ea2dbef27f20b52e317f42d/jni-build/jni/include/tensorflow/contrib/learn/python/learn/estimators/base.py#L272-L294 | ||
vslavik/poedit | f7a9daa0a10037e090aa0a86f5ce0f24ececdf6a | deps/boost/libs/metaparse/tools/benchmark/generate.py | python | Mode.description | (self) | The description of the mode | The description of the mode | [
"The",
"description",
"of",
"the",
"mode"
] | def description(self):
"""The description of the mode"""
if self.identifier == 'bmp':
return 'Using BOOST_METAPARSE_STRING'
elif self.identifier == 'man':
return 'Generating strings manually' | [
"def",
"description",
"(",
"self",
")",
":",
"if",
"self",
".",
"identifier",
"==",
"'bmp'",
":",
"return",
"'Using BOOST_METAPARSE_STRING'",
"elif",
"self",
".",
"identifier",
"==",
"'man'",
":",
"return",
"'Generating strings manually'"
] | https://github.com/vslavik/poedit/blob/f7a9daa0a10037e090aa0a86f5ce0f24ececdf6a/deps/boost/libs/metaparse/tools/benchmark/generate.py#L82-L87 | ||
windystrife/UnrealEngine_NVIDIAGameWorks | b50e6338a7c5b26374d66306ebc7807541ff815e | Engine/Extras/ThirdPartyNotUE/emsdk/Win64/python/2.7.5.3_64bit/Lib/popen2.py | python | Popen3.__init__ | (self, cmd, capturestderr=False, bufsize=-1) | The parameter 'cmd' is the shell command to execute in a
sub-process. On UNIX, 'cmd' may be a sequence, in which case arguments
will be passed directly to the program without shell intervention (as
with os.spawnv()). If 'cmd' is a string it will be passed to the shell
(as with os.syste... | The parameter 'cmd' is the shell command to execute in a
sub-process. On UNIX, 'cmd' may be a sequence, in which case arguments
will be passed directly to the program without shell intervention (as
with os.spawnv()). If 'cmd' is a string it will be passed to the shell
(as with os.syste... | [
"The",
"parameter",
"cmd",
"is",
"the",
"shell",
"command",
"to",
"execute",
"in",
"a",
"sub",
"-",
"process",
".",
"On",
"UNIX",
"cmd",
"may",
"be",
"a",
"sequence",
"in",
"which",
"case",
"arguments",
"will",
"be",
"passed",
"directly",
"to",
"the",
... | def __init__(self, cmd, capturestderr=False, bufsize=-1):
"""The parameter 'cmd' is the shell command to execute in a
sub-process. On UNIX, 'cmd' may be a sequence, in which case arguments
will be passed directly to the program without shell intervention (as
with os.spawnv()). If 'cmd'... | [
"def",
"__init__",
"(",
"self",
",",
"cmd",
",",
"capturestderr",
"=",
"False",
",",
"bufsize",
"=",
"-",
"1",
")",
":",
"_cleanup",
"(",
")",
"self",
".",
"cmd",
"=",
"cmd",
"p2cread",
",",
"p2cwrite",
"=",
"os",
".",
"pipe",
"(",
")",
"c2pread",
... | https://github.com/windystrife/UnrealEngine_NVIDIAGameWorks/blob/b50e6338a7c5b26374d66306ebc7807541ff815e/Engine/Extras/ThirdPartyNotUE/emsdk/Win64/python/2.7.5.3_64bit/Lib/popen2.py#L40-L72 | ||
adobe/chromium | cfe5bf0b51b1f6b9fe239c2a3c2f2364da9967d7 | tools/valgrind/suppressions.py | python | GlobToRegex | (glob_pattern, ignore_case=False) | return ''.join(regex) | Translate glob wildcards (*?) into regex syntax. Escape the rest. | Translate glob wildcards (*?) into regex syntax. Escape the rest. | [
"Translate",
"glob",
"wildcards",
"(",
"*",
"?",
")",
"into",
"regex",
"syntax",
".",
"Escape",
"the",
"rest",
"."
] | def GlobToRegex(glob_pattern, ignore_case=False):
"""Translate glob wildcards (*?) into regex syntax. Escape the rest."""
regex = ''
for char in glob_pattern:
if char == '*':
regex += '.*'
elif char == '?':
regex += '.'
elif ignore_case and char.isalpha():
regex += '[%s%s]' % (char.... | [
"def",
"GlobToRegex",
"(",
"glob_pattern",
",",
"ignore_case",
"=",
"False",
")",
":",
"regex",
"=",
"''",
"for",
"char",
"in",
"glob_pattern",
":",
"if",
"char",
"==",
"'*'",
":",
"regex",
"+=",
"'.*'",
"elif",
"char",
"==",
"'?'",
":",
"regex",
"+=",... | https://github.com/adobe/chromium/blob/cfe5bf0b51b1f6b9fe239c2a3c2f2364da9967d7/tools/valgrind/suppressions.py#L35-L47 | |
apache/mesos | 97d9a4063332aae3825d78de71611657e05cf5e2 | support/cpplint.py | python | ProcessGlobalSuppresions | (lines) | Updates the list of global error suppressions.
Parses any lint directives in the file that have global effect.
Args:
lines: An array of strings, each representing a line of the file, with the
last element being empty if the file is terminated with a newline. | Updates the list of global error suppressions. | [
"Updates",
"the",
"list",
"of",
"global",
"error",
"suppressions",
"."
] | def ProcessGlobalSuppresions(lines):
"""Updates the list of global error suppressions.
Parses any lint directives in the file that have global effect.
Args:
lines: An array of strings, each representing a line of the file, with the
last element being empty if the file is terminated with a newline... | [
"def",
"ProcessGlobalSuppresions",
"(",
"lines",
")",
":",
"for",
"line",
"in",
"lines",
":",
"if",
"_SEARCH_C_FILE",
".",
"search",
"(",
"line",
")",
":",
"for",
"category",
"in",
"_DEFAULT_C_SUPPRESSED_CATEGORIES",
":",
"_global_error_suppressions",
"[",
"catego... | https://github.com/apache/mesos/blob/97d9a4063332aae3825d78de71611657e05cf5e2/support/cpplint.py#L620-L635 | ||
mapnik/mapnik | f3da900c355e1d15059c4a91b00203dcc9d9f0ef | scons/scons-local-4.1.0/SCons/Node/__init__.py | python | Node.is_literal | (self) | return 1 | Always pass the string representation of a Node to
the command interpreter literally. | Always pass the string representation of a Node to
the command interpreter literally. | [
"Always",
"pass",
"the",
"string",
"representation",
"of",
"a",
"Node",
"to",
"the",
"command",
"interpreter",
"literally",
"."
] | def is_literal(self):
"""Always pass the string representation of a Node to
the command interpreter literally."""
return 1 | [
"def",
"is_literal",
"(",
"self",
")",
":",
"return",
"1"
] | https://github.com/mapnik/mapnik/blob/f3da900c355e1d15059c4a91b00203dcc9d9f0ef/scons/scons-local-4.1.0/SCons/Node/__init__.py#L1533-L1536 | |
gem5/gem5 | 141cc37c2d4b93959d4c249b8f7e6a8b2ef75338 | ext/ply/example/calc/calc.py | python | p_statement_expr | (p) | statement : expression | statement : expression | [
"statement",
":",
"expression"
] | def p_statement_expr(p):
'statement : expression'
print(p[1]) | [
"def",
"p_statement_expr",
"(",
"p",
")",
":",
"print",
"(",
"p",
"[",
"1",
"]",
")"
] | https://github.com/gem5/gem5/blob/141cc37c2d4b93959d4c249b8f7e6a8b2ef75338/ext/ply/example/calc/calc.py#L58-L60 | ||
google/nucleus | 68d3947fafba1337f294c0668a6e1c7f3f1273e3 | nucleus/io/bedgraph.py | python | NativeBedGraphReader.query | (self) | Returns an iterator for going through the records in the region.
NOTE: This function is not currently implemented by NativeBedGraphReader
though it could be implemented for sorted, tabix-indexed BedGraph files. | Returns an iterator for going through the records in the region. | [
"Returns",
"an",
"iterator",
"for",
"going",
"through",
"the",
"records",
"in",
"the",
"region",
"."
] | def query(self):
"""Returns an iterator for going through the records in the region.
NOTE: This function is not currently implemented by NativeBedGraphReader
though it could be implemented for sorted, tabix-indexed BedGraph files.
"""
raise NotImplementedError('Can not currently query a BedGraph fi... | [
"def",
"query",
"(",
"self",
")",
":",
"raise",
"NotImplementedError",
"(",
"'Can not currently query a BedGraph file'",
")"
] | https://github.com/google/nucleus/blob/68d3947fafba1337f294c0668a6e1c7f3f1273e3/nucleus/io/bedgraph.py#L87-L93 | ||
cinder/Cinder | e83f5bb9c01a63eec20168d02953a0879e5100f7 | docs/generateDocs.py | python | process_ci_prefix_tag | (bs4, tag, in_path) | Finds the referenced tag's object if existent and adds the path to the prefix file to the class to be parsed later
:param tag: The ci tag with a defined prefix attribute
:param in_path: The path to the refix content
:return: | Finds the referenced tag's object if existent and adds the path to the prefix file to the class to be parsed later
:param tag: The ci tag with a defined prefix attribute
:param in_path: The path to the refix content
:return: | [
"Finds",
"the",
"referenced",
"tag",
"s",
"object",
"if",
"existent",
"and",
"adds",
"the",
"path",
"to",
"the",
"prefix",
"file",
"to",
"the",
"class",
"to",
"be",
"parsed",
"later",
":",
"param",
"tag",
":",
"The",
"ci",
"tag",
"with",
"a",
"defined"... | def process_ci_prefix_tag(bs4, tag, in_path):
"""
Finds the referenced tag's object if existent and adds the path to the prefix file to the class to be parsed later
:param tag: The ci tag with a defined prefix attribute
:param in_path: The path to the refix content
:return:
"""
in_path = in_... | [
"def",
"process_ci_prefix_tag",
"(",
"bs4",
",",
"tag",
",",
"in_path",
")",
":",
"in_path",
"=",
"in_path",
".",
"replace",
"(",
"'\\\\'",
",",
"'/'",
")",
"in_dir",
"=",
"get_path_dir",
"(",
"in_path",
")",
"obj_ref",
"=",
"find_ci_tag_ref",
"(",
"tag",
... | https://github.com/cinder/Cinder/blob/e83f5bb9c01a63eec20168d02953a0879e5100f7/docs/generateDocs.py#L2733-L2763 | ||
tensorflow/tensorflow | 419e3a6b650ea4bd1b0cba23c4348f8a69f3272e | tensorflow/python/keras/engine/compile_utils.py | python | MetricsContainer._get_metric_objects | (self, metrics, y_t, y_p) | return [self._get_metric_object(m, y_t, y_p) for m in metrics] | Convert user-supplied metrics to `Metric` objects. | Convert user-supplied metrics to `Metric` objects. | [
"Convert",
"user",
"-",
"supplied",
"metrics",
"to",
"Metric",
"objects",
"."
] | def _get_metric_objects(self, metrics, y_t, y_p):
"""Convert user-supplied metrics to `Metric` objects."""
metrics = nest.flatten(metrics)
return [self._get_metric_object(m, y_t, y_p) for m in metrics] | [
"def",
"_get_metric_objects",
"(",
"self",
",",
"metrics",
",",
"y_t",
",",
"y_p",
")",
":",
"metrics",
"=",
"nest",
".",
"flatten",
"(",
"metrics",
")",
"return",
"[",
"self",
".",
"_get_metric_object",
"(",
"m",
",",
"y_t",
",",
"y_p",
")",
"for",
... | https://github.com/tensorflow/tensorflow/blob/419e3a6b650ea4bd1b0cba23c4348f8a69f3272e/tensorflow/python/keras/engine/compile_utils.py#L482-L485 | |
windystrife/UnrealEngine_NVIDIAGameWorks | b50e6338a7c5b26374d66306ebc7807541ff815e | Engine/Extras/ThirdPartyNotUE/emsdk/Win64/python/2.7.5.3_64bit/Lib/cookielib.py | python | time2netscape | (t=None) | return "%s %02d-%s-%04d %02d:%02d:%02d GMT" % (
DAYS[wday], mday, MONTHS[mon-1], year, hour, min, sec) | Return a string representing time in seconds since epoch, t.
If the function is called without an argument, it will use the current
time.
The format of the returned string is like this:
Wed, DD-Mon-YYYY HH:MM:SS GMT | Return a string representing time in seconds since epoch, t. | [
"Return",
"a",
"string",
"representing",
"time",
"in",
"seconds",
"since",
"epoch",
"t",
"."
] | def time2netscape(t=None):
"""Return a string representing time in seconds since epoch, t.
If the function is called without an argument, it will use the current
time.
The format of the returned string is like this:
Wed, DD-Mon-YYYY HH:MM:SS GMT
"""
if t is None: t = time.time()
year... | [
"def",
"time2netscape",
"(",
"t",
"=",
"None",
")",
":",
"if",
"t",
"is",
"None",
":",
"t",
"=",
"time",
".",
"time",
"(",
")",
"year",
",",
"mon",
",",
"mday",
",",
"hour",
",",
"min",
",",
"sec",
",",
"wday",
"=",
"time",
".",
"gmtime",
"("... | https://github.com/windystrife/UnrealEngine_NVIDIAGameWorks/blob/b50e6338a7c5b26374d66306ebc7807541ff815e/Engine/Extras/ThirdPartyNotUE/emsdk/Win64/python/2.7.5.3_64bit/Lib/cookielib.py#L103-L117 | |
apple/swift-lldb | d74be846ef3e62de946df343e8c234bde93a8912 | utils/vim-lldb/python-vim-lldb/vim_ui.py | python | UI.hideWindow | (self, name) | return True | Hides window pane specified by name | Hides window pane specified by name | [
"Hides",
"window",
"pane",
"specified",
"by",
"name"
] | def hideWindow(self, name):
""" Hides window pane specified by name """
if not self.paneCol.havePane(name):
sys.stderr.write("unknown window: %s" % name)
return False
self.paneCol.hide([name])
return True | [
"def",
"hideWindow",
"(",
"self",
",",
"name",
")",
":",
"if",
"not",
"self",
".",
"paneCol",
".",
"havePane",
"(",
"name",
")",
":",
"sys",
".",
"stderr",
".",
"write",
"(",
"\"unknown window: %s\"",
"%",
"name",
")",
"return",
"False",
"self",
".",
... | https://github.com/apple/swift-lldb/blob/d74be846ef3e62de946df343e8c234bde93a8912/utils/vim-lldb/python-vim-lldb/vim_ui.py#L248-L254 | |
google/certificate-transparency | 2588562fd306a447958471b6f06c1069619c1641 | python/ct/crypto/asn1/types.py | python | Any._convert_value | (cls, value) | The value of an Any is the undecoded value. | The value of an Any is the undecoded value. | [
"The",
"value",
"of",
"an",
"Any",
"is",
"the",
"undecoded",
"value",
"."
] | def _convert_value(cls, value):
"""The value of an Any is the undecoded value."""
# Always return the undecoded value for consistency; the
# decoded/decoded_value properties can be used to retrieve the
# decoded contents.
if isinstance(value, Any):
# This gets ambiguo... | [
"def",
"_convert_value",
"(",
"cls",
",",
"value",
")",
":",
"# Always return the undecoded value for consistency; the",
"# decoded/decoded_value properties can be used to retrieve the",
"# decoded contents.",
"if",
"isinstance",
"(",
"value",
",",
"Any",
")",
":",
"# This gets... | https://github.com/google/certificate-transparency/blob/2588562fd306a447958471b6f06c1069619c1641/python/ct/crypto/asn1/types.py#L1026-L1039 | ||
pytorch/ELF | e851e786ced8d26cf470f08a6b9bf7e413fc63f7 | src_py/rlpytorch/sampler/sample_methods.py | python | epsilon_greedy | (state_curr, args, node="pi") | return sample_multinomial(state_curr, args, node=node, greedy=True) | epsilon greedy sampling
Args:
state_curr(dict): current state containing all data
args(dict): customized arguments for sampling. `epsilon` is used
node(str): name string for policy, default is "pi"
Returns:
A list of actions using epsilon greedy sampling. | epsilon greedy sampling | [
"epsilon",
"greedy",
"sampling"
] | def epsilon_greedy(state_curr, args, node="pi"):
''' epsilon greedy sampling
Args:
state_curr(dict): current state containing all data
args(dict): customized arguments for sampling. `epsilon` is used
node(str): name string for policy, default is "pi"
Returns:
A list of acti... | [
"def",
"epsilon_greedy",
"(",
"state_curr",
",",
"args",
",",
"node",
"=",
"\"pi\"",
")",
":",
"return",
"sample_multinomial",
"(",
"state_curr",
",",
"args",
",",
"node",
"=",
"node",
",",
"greedy",
"=",
"True",
")"
] | https://github.com/pytorch/ELF/blob/e851e786ced8d26cf470f08a6b9bf7e413fc63f7/src_py/rlpytorch/sampler/sample_methods.py#L128-L139 | |
ricardoquesada/Spidermonkey | 4a75ea2543408bd1b2c515aa95901523eeef7858 | python/mozbuild/mozbuild/frontend/sandbox.py | python | Sandbox.__init__ | (self, context, builtins=None) | Initialize a Sandbox ready for execution. | Initialize a Sandbox ready for execution. | [
"Initialize",
"a",
"Sandbox",
"ready",
"for",
"execution",
"."
] | def __init__(self, context, builtins=None):
"""Initialize a Sandbox ready for execution.
"""
self._builtins = builtins or self.BUILTINS
dict.__setitem__(self, '__builtins__', self._builtins)
assert isinstance(self._builtins, ReadOnlyDict)
assert isinstance(context, Conte... | [
"def",
"__init__",
"(",
"self",
",",
"context",
",",
"builtins",
"=",
"None",
")",
":",
"self",
".",
"_builtins",
"=",
"builtins",
"or",
"self",
".",
"BUILTINS",
"dict",
".",
"__setitem__",
"(",
"self",
",",
"'__builtins__'",
",",
"self",
".",
"_builtins... | https://github.com/ricardoquesada/Spidermonkey/blob/4a75ea2543408bd1b2c515aa95901523eeef7858/python/mozbuild/mozbuild/frontend/sandbox.py#L110-L124 | ||
raymondlu/super-animation-samples | 04234269112ff0dc32447f27a761dbbb00b8ba17 | samples/cocos2d-x-3.1/CocosLuaGame2/frameworks/cocos2d-x/tools/bindings-generator/generator.py | python | build_namespace | (cursor, namespaces=[]) | return namespaces | build the full namespace for a specific cursor | build the full namespace for a specific cursor | [
"build",
"the",
"full",
"namespace",
"for",
"a",
"specific",
"cursor"
] | def build_namespace(cursor, namespaces=[]):
'''
build the full namespace for a specific cursor
'''
if cursor:
parent = cursor.semantic_parent
if parent:
if parent.kind == cindex.CursorKind.NAMESPACE or parent.kind == cindex.CursorKind.CLASS_DECL:
namespaces.ap... | [
"def",
"build_namespace",
"(",
"cursor",
",",
"namespaces",
"=",
"[",
"]",
")",
":",
"if",
"cursor",
":",
"parent",
"=",
"cursor",
".",
"semantic_parent",
"if",
"parent",
":",
"if",
"parent",
".",
"kind",
"==",
"cindex",
".",
"CursorKind",
".",
"NAMESPAC... | https://github.com/raymondlu/super-animation-samples/blob/04234269112ff0dc32447f27a761dbbb00b8ba17/samples/cocos2d-x-3.1/CocosLuaGame2/frameworks/cocos2d-x/tools/bindings-generator/generator.py#L104-L115 | |
ChromiumWebApps/chromium | c7361d39be8abd1574e6ce8957c8dbddd4c6ccf7 | third_party/re2/re2/unicode.py | python | Scripts | (unicode_dir=_UNICODE_DIR) | return scripts | Returns dict mapping script names to code lists.
Args:
unicode_dir: Unicode data directory
Returns:
dict mapping script names to code lists | Returns dict mapping script names to code lists. | [
"Returns",
"dict",
"mapping",
"script",
"names",
"to",
"code",
"lists",
"."
] | def Scripts(unicode_dir=_UNICODE_DIR):
"""Returns dict mapping script names to code lists.
Args:
unicode_dir: Unicode data directory
Returns:
dict mapping script names to code lists
"""
scripts = {}
def DoLine(codes, fields):
"""Process single Scripts.txt line, updating scripts."""
(_, n... | [
"def",
"Scripts",
"(",
"unicode_dir",
"=",
"_UNICODE_DIR",
")",
":",
"scripts",
"=",
"{",
"}",
"def",
"DoLine",
"(",
"codes",
",",
"fields",
")",
":",
"\"\"\"Process single Scripts.txt line, updating scripts.\"\"\"",
"(",
"_",
",",
"name",
")",
"=",
"fields",
... | https://github.com/ChromiumWebApps/chromium/blob/c7361d39be8abd1574e6ce8957c8dbddd4c6ccf7/third_party/re2/re2/unicode.py#L253-L271 | |
baidu-research/tensorflow-allreduce | 66d5b855e90b0949e9fa5cca5599fd729a70e874 | tensorflow/python/profiler/pprof_profiler.py | python | profile | (graph, run_metadata, output_dir=None) | return profile_files | Generate profiles in pprof format.
See https://github.com/google/pprof/blob/master/proto/profile.proto
for pprof proto format.
Args:
graph: A `Graph` object.
run_metadata: A `RunMetadata` proto.
output_dir: (string) Directory to output pprof profile to.
Profile files for each device will be st... | Generate profiles in pprof format. | [
"Generate",
"profiles",
"in",
"pprof",
"format",
"."
] | def profile(graph, run_metadata, output_dir=None):
"""Generate profiles in pprof format.
See https://github.com/google/pprof/blob/master/proto/profile.proto
for pprof proto format.
Args:
graph: A `Graph` object.
run_metadata: A `RunMetadata` proto.
output_dir: (string) Directory to output pprof pr... | [
"def",
"profile",
"(",
"graph",
",",
"run_metadata",
",",
"output_dir",
"=",
"None",
")",
":",
"profiles",
"=",
"get_profiles",
"(",
"graph",
",",
"run_metadata",
")",
"output_file_template",
"=",
"None",
"if",
"output_dir",
":",
"if",
"not",
"os",
".",
"p... | https://github.com/baidu-research/tensorflow-allreduce/blob/66d5b855e90b0949e9fa5cca5599fd729a70e874/tensorflow/python/profiler/pprof_profiler.py#L405-L445 | |
MythTV/mythtv | d282a209cb8be85d036f85a62a8ec971b67d45f4 | mythtv/programs/scripts/internetcontent/nv_python_libs/xsltfunctions/tedtalksXSL_api.py | python | xpathFunctions.stripSubstring | (self, string, startText, terminatorChar) | return string[:index].strip() | Return a substring terminated by specific character(s)
return a substring | Return a substring terminated by specific character(s)
return a substring | [
"Return",
"a",
"substring",
"terminated",
"by",
"specific",
"character",
"(",
"s",
")",
"return",
"a",
"substring"
] | def stripSubstring(self, string, startText, terminatorChar):
'''Return a substring terminated by specific character(s)
return a substring
'''
index = string.find(startText)
if index == -1:
return ''
string = string[index+len(startText):]
index = string... | [
"def",
"stripSubstring",
"(",
"self",
",",
"string",
",",
"startText",
",",
"terminatorChar",
")",
":",
"index",
"=",
"string",
".",
"find",
"(",
"startText",
")",
"if",
"index",
"==",
"-",
"1",
":",
"return",
"''",
"string",
"=",
"string",
"[",
"index... | https://github.com/MythTV/mythtv/blob/d282a209cb8be85d036f85a62a8ec971b67d45f4/mythtv/programs/scripts/internetcontent/nv_python_libs/xsltfunctions/tedtalksXSL_api.py#L231-L242 | |
hanpfei/chromium-net | 392cc1fa3a8f92f42e4071ab6e674d8e0482f83f | third_party/catapult/third_party/gsutil/gslib/translation_helper.py | python | LifecycleTranslation.BotoLifecycleFromMessage | (cls, lifecycle_message) | return boto_lifecycle | Translates an apitools message to a boto lifecycle object. | Translates an apitools message to a boto lifecycle object. | [
"Translates",
"an",
"apitools",
"message",
"to",
"a",
"boto",
"lifecycle",
"object",
"."
] | def BotoLifecycleFromMessage(cls, lifecycle_message):
"""Translates an apitools message to a boto lifecycle object."""
boto_lifecycle = boto.gs.lifecycle.LifecycleConfig()
if lifecycle_message:
for rule_message in lifecycle_message.rule:
boto_rule = boto.gs.lifecycle.Rule()
if (rule_me... | [
"def",
"BotoLifecycleFromMessage",
"(",
"cls",
",",
"lifecycle_message",
")",
":",
"boto_lifecycle",
"=",
"boto",
".",
"gs",
".",
"lifecycle",
".",
"LifecycleConfig",
"(",
")",
"if",
"lifecycle_message",
":",
"for",
"rule_message",
"in",
"lifecycle_message",
".",
... | https://github.com/hanpfei/chromium-net/blob/392cc1fa3a8f92f42e4071ab6e674d8e0482f83f/third_party/catapult/third_party/gsutil/gslib/translation_helper.py#L448-L471 | |
miyosuda/TensorFlowAndroidMNIST | 7b5a4603d2780a8a2834575706e9001977524007 | jni-build/jni/include/tensorflow/python/ops/control_flow_ops.py | python | GradLoopState.history_map | (self) | return self._history_map | The map that records all the tensors needed for backprop. | The map that records all the tensors needed for backprop. | [
"The",
"map",
"that",
"records",
"all",
"the",
"tensors",
"needed",
"for",
"backprop",
"."
] | def history_map(self):
"""The map that records all the tensors needed for backprop."""
return self._history_map | [
"def",
"history_map",
"(",
"self",
")",
":",
"return",
"self",
".",
"_history_map"
] | https://github.com/miyosuda/TensorFlowAndroidMNIST/blob/7b5a4603d2780a8a2834575706e9001977524007/jni-build/jni/include/tensorflow/python/ops/control_flow_ops.py#L614-L616 | |
catboost/catboost | 167f64f237114a4d10b2b4ee42adb4569137debe | contrib/python/scipy/py2/scipy/io/netcdf.py | python | netcdf_variable._get_missing_value | (self) | return missing_value | Returns the value denoting "no data" for this variable.
If this variable does not have a missing/fill value, returns None.
If both _FillValue and missing_value are given, give precedence to
_FillValue. The netCDF standard gives special meaning to _FillValue;
missing_value is just used... | Returns the value denoting "no data" for this variable. | [
"Returns",
"the",
"value",
"denoting",
"no",
"data",
"for",
"this",
"variable",
"."
] | def _get_missing_value(self):
"""
Returns the value denoting "no data" for this variable.
If this variable does not have a missing/fill value, returns None.
If both _FillValue and missing_value are given, give precedence to
_FillValue. The netCDF standard gives special meaning ... | [
"def",
"_get_missing_value",
"(",
"self",
")",
":",
"if",
"'_FillValue'",
"in",
"self",
".",
"_attributes",
":",
"missing_value",
"=",
"self",
".",
"_attributes",
"[",
"'_FillValue'",
"]",
"elif",
"'missing_value'",
"in",
"self",
".",
"_attributes",
":",
"miss... | https://github.com/catboost/catboost/blob/167f64f237114a4d10b2b4ee42adb4569137debe/contrib/python/scipy/py2/scipy/io/netcdf.py#L1047-L1065 | |
wxWidgets/wxPython-Classic | 19571e1ae65f1ac445f5491474121998c97a1bf0 | src/osx_carbon/_core.py | python | Window.MacIsWindowScrollbar | (*args, **kwargs) | return _core_.Window_MacIsWindowScrollbar(*args, **kwargs) | MacIsWindowScrollbar(self, Window sb) -> bool | MacIsWindowScrollbar(self, Window sb) -> bool | [
"MacIsWindowScrollbar",
"(",
"self",
"Window",
"sb",
")",
"-",
">",
"bool"
] | def MacIsWindowScrollbar(*args, **kwargs):
"""MacIsWindowScrollbar(self, Window sb) -> bool"""
return _core_.Window_MacIsWindowScrollbar(*args, **kwargs) | [
"def",
"MacIsWindowScrollbar",
"(",
"*",
"args",
",",
"*",
"*",
"kwargs",
")",
":",
"return",
"_core_",
".",
"Window_MacIsWindowScrollbar",
"(",
"*",
"args",
",",
"*",
"*",
"kwargs",
")"
] | https://github.com/wxWidgets/wxPython-Classic/blob/19571e1ae65f1ac445f5491474121998c97a1bf0/src/osx_carbon/_core.py#L11333-L11335 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.