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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Xilinx/Vitis-AI | fc74d404563d9951b57245443c73bef389f3657f | tools/Vitis-AI-Quantizer/vai_q_tensorflow1.x/tensorflow/contrib/layers/python/ops/sparse_ops.py | python | sparse_row_envelope | (sparse_input, row_axis=0, col_axis=1, name=None) | Returns the length of each 'row' in a `SparseTensor`.
For example, if `sparse_input` has indices `[[0,0], [2, 0], [2, 1], [2, 2]]`
and shape `[3, 3]`, this function will return `[1, 0, 3]`.
Args:
sparse_input: a `SparseTensor` of rank at least 2.
row_axis: An integer. The axis for the row of the envelop... | Returns the length of each 'row' in a `SparseTensor`. | [
"Returns",
"the",
"length",
"of",
"each",
"row",
"in",
"a",
"SparseTensor",
"."
] | def sparse_row_envelope(sparse_input, row_axis=0, col_axis=1, name=None):
"""Returns the length of each 'row' in a `SparseTensor`.
For example, if `sparse_input` has indices `[[0,0], [2, 0], [2, 1], [2, 2]]`
and shape `[3, 3]`, this function will return `[1, 0, 3]`.
Args:
sparse_input: a `SparseTensor` of... | [
"def",
"sparse_row_envelope",
"(",
"sparse_input",
",",
"row_axis",
"=",
"0",
",",
"col_axis",
"=",
"1",
",",
"name",
"=",
"None",
")",
":",
"if",
"not",
"(",
"isinstance",
"(",
"row_axis",
",",
"compat",
".",
"integral_types",
")",
"and",
"isinstance",
... | https://github.com/Xilinx/Vitis-AI/blob/fc74d404563d9951b57245443c73bef389f3657f/tools/Vitis-AI-Quantizer/vai_q_tensorflow1.x/tensorflow/contrib/layers/python/ops/sparse_ops.py#L190-L227 | ||
kamyu104/LeetCode-Solutions | 77605708a927ea3b85aee5a479db733938c7c211 | Python/count-nodes-with-the-highest-score.py | python | Solution.countHighestScoreNodes | (self, parents) | return iter_dfs(adj) | :type parents: List[int]
:rtype: int | :type parents: List[int]
:rtype: int | [
":",
"type",
"parents",
":",
"List",
"[",
"int",
"]",
":",
"rtype",
":",
"int"
] | def countHighestScoreNodes(self, parents):
"""
:type parents: List[int]
:rtype: int
"""
def iter_dfs(adj):
result = [0]*2
stk = [(1, (0, [0]))]
while stk:
step, args = stk.pop()
if step == 1:
... | [
"def",
"countHighestScoreNodes",
"(",
"self",
",",
"parents",
")",
":",
"def",
"iter_dfs",
"(",
"adj",
")",
":",
"result",
"=",
"[",
"0",
"]",
"*",
"2",
"stk",
"=",
"[",
"(",
"1",
",",
"(",
"0",
",",
"[",
"0",
"]",
")",
")",
"]",
"while",
"st... | https://github.com/kamyu104/LeetCode-Solutions/blob/77605708a927ea3b85aee5a479db733938c7c211/Python/count-nodes-with-the-highest-score.py#L5-L34 | |
wlanjie/AndroidFFmpeg | 7baf9122f4b8e1c74e7baf4be5c422c7a5ba5aaf | tools/fdk-aac-build/x86/toolchain/lib/python2.7/plat-mac/aepack.py | python | pack | (x, forcetype = None) | return AE.AECreateDesc('TEXT', repr(x)) | Pack a python object into an AE descriptor | Pack a python object into an AE descriptor | [
"Pack",
"a",
"python",
"object",
"into",
"an",
"AE",
"descriptor"
] | def pack(x, forcetype = None):
"""Pack a python object into an AE descriptor"""
if forcetype:
if type(x) is StringType:
return AE.AECreateDesc(forcetype, x)
else:
return pack(x).AECoerceDesc(forcetype)
if x is None:
return AE.AECreateDesc('null', '')
if... | [
"def",
"pack",
"(",
"x",
",",
"forcetype",
"=",
"None",
")",
":",
"if",
"forcetype",
":",
"if",
"type",
"(",
"x",
")",
"is",
"StringType",
":",
"return",
"AE",
".",
"AECreateDesc",
"(",
"forcetype",
",",
"x",
")",
"else",
":",
"return",
"pack",
"("... | https://github.com/wlanjie/AndroidFFmpeg/blob/7baf9122f4b8e1c74e7baf4be5c422c7a5ba5aaf/tools/fdk-aac-build/x86/toolchain/lib/python2.7/plat-mac/aepack.py#L78-L129 | |
wxWidgets/wxPython-Classic | 19571e1ae65f1ac445f5491474121998c97a1bf0 | src/gtk/_core.py | python | Validator.TransferFromWindow | (*args, **kwargs) | return _core_.Validator_TransferFromWindow(*args, **kwargs) | TransferFromWindow(self) -> bool | TransferFromWindow(self) -> bool | [
"TransferFromWindow",
"(",
"self",
")",
"-",
">",
"bool"
] | def TransferFromWindow(*args, **kwargs):
"""TransferFromWindow(self) -> bool"""
return _core_.Validator_TransferFromWindow(*args, **kwargs) | [
"def",
"TransferFromWindow",
"(",
"*",
"args",
",",
"*",
"*",
"kwargs",
")",
":",
"return",
"_core_",
".",
"Validator_TransferFromWindow",
"(",
"*",
"args",
",",
"*",
"*",
"kwargs",
")"
] | https://github.com/wxWidgets/wxPython-Classic/blob/19571e1ae65f1ac445f5491474121998c97a1bf0/src/gtk/_core.py#L11884-L11886 | |
wxWidgets/wxPython-Classic | 19571e1ae65f1ac445f5491474121998c97a1bf0 | src/msw/_core.py | python | HeaderColumn.IsSortKey | (*args, **kwargs) | return _core_.HeaderColumn_IsSortKey(*args, **kwargs) | IsSortKey(self) -> bool | IsSortKey(self) -> bool | [
"IsSortKey",
"(",
"self",
")",
"-",
">",
"bool"
] | def IsSortKey(*args, **kwargs):
"""IsSortKey(self) -> bool"""
return _core_.HeaderColumn_IsSortKey(*args, **kwargs) | [
"def",
"IsSortKey",
"(",
"*",
"args",
",",
"*",
"*",
"kwargs",
")",
":",
"return",
"_core_",
".",
"HeaderColumn_IsSortKey",
"(",
"*",
"args",
",",
"*",
"*",
"kwargs",
")"
] | https://github.com/wxWidgets/wxPython-Classic/blob/19571e1ae65f1ac445f5491474121998c97a1bf0/src/msw/_core.py#L16432-L16434 | |
gem5/gem5 | 141cc37c2d4b93959d4c249b8f7e6a8b2ef75338 | src/python/m5/util/fdthelper.py | python | Fdt.writeDtsFile | (self, filename) | Convert the device tree to DTS and write to a file. | Convert the device tree to DTS and write to a file. | [
"Convert",
"the",
"device",
"tree",
"to",
"DTS",
"and",
"write",
"to",
"a",
"file",
"."
] | def writeDtsFile(self, filename):
"""Convert the device tree to DTS and write to a file."""
filename = os.path.realpath(filename)
try:
with open(filename, 'w') as f:
f.write(self.to_dts())
return filename
except IOError:
raise RuntimeEr... | [
"def",
"writeDtsFile",
"(",
"self",
",",
"filename",
")",
":",
"filename",
"=",
"os",
".",
"path",
".",
"realpath",
"(",
"filename",
")",
"try",
":",
"with",
"open",
"(",
"filename",
",",
"'w'",
")",
"as",
"f",
":",
"f",
".",
"write",
"(",
"self",
... | https://github.com/gem5/gem5/blob/141cc37c2d4b93959d4c249b8f7e6a8b2ef75338/src/python/m5/util/fdthelper.py#L260-L268 | ||
albertz/openlierox | d316c14a8eb57848ef56e9bfa7b23a56f694a51b | tools/DedicatedServerVideo/gdata/Crypto/PublicKey/pubkey.py | python | pubkey.verify | (self, M, signature) | return self._verify(M, signature) | verify(M:string|long, signature:tuple) : bool
Verify that the signature is valid for the message M;
returns true if the signature checks out. | verify(M:string|long, signature:tuple) : bool
Verify that the signature is valid for the message M;
returns true if the signature checks out. | [
"verify",
"(",
"M",
":",
"string|long",
"signature",
":",
"tuple",
")",
":",
"bool",
"Verify",
"that",
"the",
"signature",
"is",
"valid",
"for",
"the",
"message",
"M",
";",
"returns",
"true",
"if",
"the",
"signature",
"checks",
"out",
"."
] | def verify (self, M, signature):
"""verify(M:string|long, signature:tuple) : bool
Verify that the signature is valid for the message M;
returns true if the signature checks out.
"""
if isinstance(M, types.StringType): M=bytes_to_long(M)
return self._verify(M, signature) | [
"def",
"verify",
"(",
"self",
",",
"M",
",",
"signature",
")",
":",
"if",
"isinstance",
"(",
"M",
",",
"types",
".",
"StringType",
")",
":",
"M",
"=",
"bytes_to_long",
"(",
"M",
")",
"return",
"self",
".",
"_verify",
"(",
"M",
",",
"signature",
")"... | https://github.com/albertz/openlierox/blob/d316c14a8eb57848ef56e9bfa7b23a56f694a51b/tools/DedicatedServerVideo/gdata/Crypto/PublicKey/pubkey.py#L78-L84 | |
aws/lumberyard | f85344403c1c2e77ec8c75deb2c116e97b713217 | dev/Tools/Python/3.7.10/linux_x64/lib/python3.7/_pydecimal.py | python | Decimal.copy_sign | (self, other, context=None) | return _dec_from_triple(other._sign, self._int,
self._exp, self._is_special) | Returns self with the sign of other. | Returns self with the sign of other. | [
"Returns",
"self",
"with",
"the",
"sign",
"of",
"other",
"."
] | def copy_sign(self, other, context=None):
"""Returns self with the sign of other."""
other = _convert_other(other, raiseit=True)
return _dec_from_triple(other._sign, self._int,
self._exp, self._is_special) | [
"def",
"copy_sign",
"(",
"self",
",",
"other",
",",
"context",
"=",
"None",
")",
":",
"other",
"=",
"_convert_other",
"(",
"other",
",",
"raiseit",
"=",
"True",
")",
"return",
"_dec_from_triple",
"(",
"other",
".",
"_sign",
",",
"self",
".",
"_int",
",... | https://github.com/aws/lumberyard/blob/f85344403c1c2e77ec8c75deb2c116e97b713217/dev/Tools/Python/3.7.10/linux_x64/lib/python3.7/_pydecimal.py#L3030-L3034 | |
ceph/ceph | 959663007321a369c83218414a29bd9dbc8bda3a | src/pybind/mgr/mgr_module.py | python | MgrModule.get_mgr_id | (self) | return self._ceph_get_mgr_id() | Retrieve the name of the manager daemon where this plugin
is currently being executed (i.e. the active manager).
:return: str | Retrieve the name of the manager daemon where this plugin
is currently being executed (i.e. the active manager). | [
"Retrieve",
"the",
"name",
"of",
"the",
"manager",
"daemon",
"where",
"this",
"plugin",
"is",
"currently",
"being",
"executed",
"(",
"i",
".",
"e",
".",
"the",
"active",
"manager",
")",
"."
] | def get_mgr_id(self) -> str:
"""
Retrieve the name of the manager daemon where this plugin
is currently being executed (i.e. the active manager).
:return: str
"""
return self._ceph_get_mgr_id() | [
"def",
"get_mgr_id",
"(",
"self",
")",
"->",
"str",
":",
"return",
"self",
".",
"_ceph_get_mgr_id",
"(",
")"
] | https://github.com/ceph/ceph/blob/959663007321a369c83218414a29bd9dbc8bda3a/src/pybind/mgr/mgr_module.py#L1729-L1736 | |
plaidml/plaidml | f3c6681db21460e5fdc11ae651d6d7b6c27f8262 | plaidml/edsl/__init__.py | python | pow | (x, y) | return intrinsic('pow', x, y) | Computes the elementwise ``y``th power of ``x``.
Args:
x (Tensor): The base Tensor.
y (Tensor): The exponent Tensor.
Returns:
Tensor: The resultant tensor. | Computes the elementwise ``y``th power of ``x``. | [
"Computes",
"the",
"elementwise",
"y",
"th",
"power",
"of",
"x",
"."
] | def pow(x, y):
"""Computes the elementwise ``y``th power of ``x``.
Args:
x (Tensor): The base Tensor.
y (Tensor): The exponent Tensor.
Returns:
Tensor: The resultant tensor.
"""
return intrinsic('pow', x, y) | [
"def",
"pow",
"(",
"x",
",",
"y",
")",
":",
"return",
"intrinsic",
"(",
"'pow'",
",",
"x",
",",
"y",
")"
] | https://github.com/plaidml/plaidml/blob/f3c6681db21460e5fdc11ae651d6d7b6c27f8262/plaidml/edsl/__init__.py#L990-L1000 | |
JumpingYang001/webrtc | c03d6e965e1f54aeadd670e491eabe5fdb8db968 | rtc_tools/py_event_log_analyzer/rtp_analyzer.py | python | RTPStatistics.ComputeBandwidth | (self) | Computes bandwidth averaged over several consecutive packets.
The number of consecutive packets used in the average is
BANDWIDTH_SMOOTHING_WINDOW_SIZE. Averaging is done with
numpy.correlate. | Computes bandwidth averaged over several consecutive packets. | [
"Computes",
"bandwidth",
"averaged",
"over",
"several",
"consecutive",
"packets",
"."
] | def ComputeBandwidth(self):
"""Computes bandwidth averaged over several consecutive packets.
The number of consecutive packets used in the average is
BANDWIDTH_SMOOTHING_WINDOW_SIZE. Averaging is done with
numpy.correlate.
"""
start_ms = self.data_points[0].real_send_time_ms
sto... | [
"def",
"ComputeBandwidth",
"(",
"self",
")",
":",
"start_ms",
"=",
"self",
".",
"data_points",
"[",
"0",
"]",
".",
"real_send_time_ms",
"stop_ms",
"=",
"self",
".",
"data_points",
"[",
"-",
"1",
"]",
".",
"real_send_time_ms",
"(",
"self",
".",
"bandwidth_k... | https://github.com/JumpingYang001/webrtc/blob/c03d6e965e1f54aeadd670e491eabe5fdb8db968/rtc_tools/py_event_log_analyzer/rtp_analyzer.py#L232-L253 | ||
nasa/fprime | 595cf3682d8365943d86c1a6fe7c78f0a116acf0 | Autocoders/Python/src/fprime_ac/generators/visitors/TopologyCppVisitor.py | python | TopologyCppVisitor.includes2Visit | (self, obj) | Defined to generate internal includes within a file.
Usually used for data type includes and system includes.
@param args: the instance of the concrete element to operation on. | Defined to generate internal includes within a file.
Usually used for data type includes and system includes. | [
"Defined",
"to",
"generate",
"internal",
"includes",
"within",
"a",
"file",
".",
"Usually",
"used",
"for",
"data",
"type",
"includes",
"and",
"system",
"includes",
"."
] | def includes2Visit(self, obj):
"""
Defined to generate internal includes within a file.
Usually used for data type includes and system includes.
@param args: the instance of the concrete element to operation on.
""" | [
"def",
"includes2Visit",
"(",
"self",
",",
"obj",
")",
":"
] | https://github.com/nasa/fprime/blob/595cf3682d8365943d86c1a6fe7c78f0a116acf0/Autocoders/Python/src/fprime_ac/generators/visitors/TopologyCppVisitor.py#L227-L232 | ||
aws/lumberyard | f85344403c1c2e77ec8c75deb2c116e97b713217 | dev/Tools/Python/3.7.10/mac/Python.framework/Versions/3.7/lib/python3.7/site-packages/pip/_vendor/requests/models.py | python | Response.apparent_encoding | (self) | return chardet.detect(self.content)['encoding'] | The apparent encoding, provided by the chardet library. | The apparent encoding, provided by the chardet library. | [
"The",
"apparent",
"encoding",
"provided",
"by",
"the",
"chardet",
"library",
"."
] | def apparent_encoding(self):
"""The apparent encoding, provided by the chardet library."""
return chardet.detect(self.content)['encoding'] | [
"def",
"apparent_encoding",
"(",
"self",
")",
":",
"return",
"chardet",
".",
"detect",
"(",
"self",
".",
"content",
")",
"[",
"'encoding'",
"]"
] | https://github.com/aws/lumberyard/blob/f85344403c1c2e77ec8c75deb2c116e97b713217/dev/Tools/Python/3.7.10/mac/Python.framework/Versions/3.7/lib/python3.7/site-packages/pip/_vendor/requests/models.py#L728-L730 | |
pyne/pyne | 0c2714d7c0d1b5e20be6ae6527da2c660dd6b1b3 | pyne/dbgen/ndsfpy.py | python | readtable | (i, spdat) | return dfinal | Reads in a set of 5 html tables and returns corresponding yield data | Reads in a set of 5 html tables and returns corresponding yield data | [
"Reads",
"in",
"a",
"set",
"of",
"5",
"html",
"tables",
"and",
"returns",
"corresponding",
"yield",
"data"
] | def readtable(i, spdat):
"""
Reads in a set of 5 html tables and returns corresponding yield data
"""
parent = getdata(i, spdat)[0]
pfinal = (parent.split('<strong>')[1]).split('</strong>')[0]
pid = conv_to_id(pfinal)
fpdata = getdata(i + 1, spdat)
dt = np.dtype([('from_nuc', 'i4'), ('to... | [
"def",
"readtable",
"(",
"i",
",",
"spdat",
")",
":",
"parent",
"=",
"getdata",
"(",
"i",
",",
"spdat",
")",
"[",
"0",
"]",
"pfinal",
"=",
"(",
"parent",
".",
"split",
"(",
"'<strong>'",
")",
"[",
"1",
"]",
")",
".",
"split",
"(",
"'</strong>'",
... | https://github.com/pyne/pyne/blob/0c2714d7c0d1b5e20be6ae6527da2c660dd6b1b3/pyne/dbgen/ndsfpy.py#L39-L71 | |
catboost/catboost | 167f64f237114a4d10b2b4ee42adb4569137debe | contrib/python/Jinja2/py2/jinja2/compiler.py | python | CodeGenerator.pull_dependencies | (self, nodes) | Pull all the dependencies. | Pull all the dependencies. | [
"Pull",
"all",
"the",
"dependencies",
"."
] | def pull_dependencies(self, nodes):
"""Pull all the dependencies."""
visitor = DependencyFinderVisitor()
for node in nodes:
visitor.visit(node)
for dependency in "filters", "tests":
mapping = getattr(self, dependency)
for name in getattr(visitor, depen... | [
"def",
"pull_dependencies",
"(",
"self",
",",
"nodes",
")",
":",
"visitor",
"=",
"DependencyFinderVisitor",
"(",
")",
"for",
"node",
"in",
"nodes",
":",
"visitor",
".",
"visit",
"(",
"node",
")",
"for",
"dependency",
"in",
"\"filters\"",
",",
"\"tests\"",
... | https://github.com/catboost/catboost/blob/167f64f237114a4d10b2b4ee42adb4569137debe/contrib/python/Jinja2/py2/jinja2/compiler.py#L464-L476 | ||
idaholab/moose | 9eeebc65e098b4c30f8205fb41591fd5b61eb6ff | python/MooseDocs/base/renderers.py | python | MaterializeRenderer._method | (self, component) | Fallback to the HTMLRenderer method if the MaterializeRenderer method is not located.
Inputs:
component[RenderComponent]: Object to use for locating desired method for renderering. | Fallback to the HTMLRenderer method if the MaterializeRenderer method is not located. | [
"Fallback",
"to",
"the",
"HTMLRenderer",
"method",
"if",
"the",
"MaterializeRenderer",
"method",
"is",
"not",
"located",
"."
] | def _method(self, component):
"""
Fallback to the HTMLRenderer method if the MaterializeRenderer method is not located.
Inputs:
component[RenderComponent]: Object to use for locating desired method for renderering.
"""
if hasattr(component, self.METHOD):
... | [
"def",
"_method",
"(",
"self",
",",
"component",
")",
":",
"if",
"hasattr",
"(",
"component",
",",
"self",
".",
"METHOD",
")",
":",
"return",
"getattr",
"(",
"component",
",",
"self",
".",
"METHOD",
")",
"elif",
"hasattr",
"(",
"component",
",",
"HTMLR... | https://github.com/idaholab/moose/blob/9eeebc65e098b4c30f8205fb41591fd5b61eb6ff/python/MooseDocs/base/renderers.py#L361-L374 | ||
wxWidgets/wxPython-Classic | 19571e1ae65f1ac445f5491474121998c97a1bf0 | wx/lib/sheet.py | python | CSheet.OnRightClick | (self, event) | Move grid cursor when a cell is right-clicked | Move grid cursor when a cell is right-clicked | [
"Move",
"grid",
"cursor",
"when",
"a",
"cell",
"is",
"right",
"-",
"clicked"
] | def OnRightClick(self, event):
""" Move grid cursor when a cell is right-clicked """
self.SetGridCursor( event.GetRow(), event.GetCol() )
event.Skip() | [
"def",
"OnRightClick",
"(",
"self",
",",
"event",
")",
":",
"self",
".",
"SetGridCursor",
"(",
"event",
".",
"GetRow",
"(",
")",
",",
"event",
".",
"GetCol",
"(",
")",
")",
"event",
".",
"Skip",
"(",
")"
] | https://github.com/wxWidgets/wxPython-Classic/blob/19571e1ae65f1ac445f5491474121998c97a1bf0/wx/lib/sheet.py#L222-L225 | ||
Tencent/CMONGO | c40380caa14e05509f46993aa8b8da966b09b0b5 | src/third_party/scons-2.5.0/scons-local-2.5.0/SCons/Util.py | python | PrependPath | (oldpath, newpath, sep = os.pathsep,
delete_existing=1, canonicalize=None) | This prepends newpath elements to the given oldpath. Will only
add any particular path once (leaving the first one it encounters
and ignoring the rest, to preserve path order), and will
os.path.normpath and os.path.normcase all paths to help assure
this. This can also handle the case where the given o... | This prepends newpath elements to the given oldpath. Will only
add any particular path once (leaving the first one it encounters
and ignoring the rest, to preserve path order), and will
os.path.normpath and os.path.normcase all paths to help assure
this. This can also handle the case where the given o... | [
"This",
"prepends",
"newpath",
"elements",
"to",
"the",
"given",
"oldpath",
".",
"Will",
"only",
"add",
"any",
"particular",
"path",
"once",
"(",
"leaving",
"the",
"first",
"one",
"it",
"encounters",
"and",
"ignoring",
"the",
"rest",
"to",
"preserve",
"path"... | def PrependPath(oldpath, newpath, sep = os.pathsep,
delete_existing=1, canonicalize=None):
"""This prepends newpath elements to the given oldpath. Will only
add any particular path once (leaving the first one it encounters
and ignoring the rest, to preserve path order), and will
os.pat... | [
"def",
"PrependPath",
"(",
"oldpath",
",",
"newpath",
",",
"sep",
"=",
"os",
".",
"pathsep",
",",
"delete_existing",
"=",
"1",
",",
"canonicalize",
"=",
"None",
")",
":",
"orig",
"=",
"oldpath",
"is_list",
"=",
"1",
"paths",
"=",
"orig",
"if",
"not",
... | https://github.com/Tencent/CMONGO/blob/c40380caa14e05509f46993aa8b8da966b09b0b5/src/third_party/scons-2.5.0/scons-local-2.5.0/SCons/Util.py#L736-L816 | ||
sdhash/sdhash | b9eff63e4e5867e910f41fd69032bbb1c94a2a5e | sdhash-ui/jinja2/utils.py | python | LRUCache.itervalue | (self) | return iter(self.values()) | Iterate over all values. | Iterate over all values. | [
"Iterate",
"over",
"all",
"values",
"."
] | def itervalue(self):
"""Iterate over all values."""
return iter(self.values()) | [
"def",
"itervalue",
"(",
"self",
")",
":",
"return",
"iter",
"(",
"self",
".",
"values",
"(",
")",
")"
] | https://github.com/sdhash/sdhash/blob/b9eff63e4e5867e910f41fd69032bbb1c94a2a5e/sdhash-ui/jinja2/utils.py#L508-L510 | |
benoitsteiner/tensorflow-opencl | cb7cb40a57fde5cfd4731bc551e82a1e2fef43a5 | tensorflow/contrib/distributions/python/ops/vector_student_t.py | python | _VectorStudentT.__init__ | (self,
df,
loc=None,
scale_identity_multiplier=None,
scale_diag=None,
scale_tril=None,
scale_perturb_factor=None,
scale_perturb_diag=None,
validate_args=False,
allow_nan_stats=True,
... | Instantiates the vector Student's t-distributions on `R^k`.
The `batch_shape` is the broadcast between `df.batch_shape` and
`Affine.batch_shape` where `Affine` is constructed from `loc` and
`scale_*` arguments.
The `event_shape` is the event shape of `Affine.event_shape`.
Args:
df: Floating... | Instantiates the vector Student's t-distributions on `R^k`. | [
"Instantiates",
"the",
"vector",
"Student",
"s",
"t",
"-",
"distributions",
"on",
"R^k",
"."
] | def __init__(self,
df,
loc=None,
scale_identity_multiplier=None,
scale_diag=None,
scale_tril=None,
scale_perturb_factor=None,
scale_perturb_diag=None,
validate_args=False,
allow_nan_sta... | [
"def",
"__init__",
"(",
"self",
",",
"df",
",",
"loc",
"=",
"None",
",",
"scale_identity_multiplier",
"=",
"None",
",",
"scale_diag",
"=",
"None",
",",
"scale_tril",
"=",
"None",
",",
"scale_perturb_factor",
"=",
"None",
",",
"scale_perturb_diag",
"=",
"None... | https://github.com/benoitsteiner/tensorflow-opencl/blob/cb7cb40a57fde5cfd4731bc551e82a1e2fef43a5/tensorflow/contrib/distributions/python/ops/vector_student_t.py#L124-L225 | ||
aws/lumberyard | f85344403c1c2e77ec8c75deb2c116e97b713217 | dev/Tools/Python/3.7.10/linux_x64/lib/python3.7/email/utils.py | python | decode_rfc2231 | (s) | return parts | Decode string according to RFC 2231 | Decode string according to RFC 2231 | [
"Decode",
"string",
"according",
"to",
"RFC",
"2231"
] | def decode_rfc2231(s):
"""Decode string according to RFC 2231"""
parts = s.split(TICK, 2)
if len(parts) <= 2:
return None, None, s
return parts | [
"def",
"decode_rfc2231",
"(",
"s",
")",
":",
"parts",
"=",
"s",
".",
"split",
"(",
"TICK",
",",
"2",
")",
"if",
"len",
"(",
"parts",
")",
"<=",
"2",
":",
"return",
"None",
",",
"None",
",",
"s",
"return",
"parts"
] | https://github.com/aws/lumberyard/blob/f85344403c1c2e77ec8c75deb2c116e97b713217/dev/Tools/Python/3.7.10/linux_x64/lib/python3.7/email/utils.py#L231-L236 | |
SequoiaDB/SequoiaDB | 2894ed7e5bd6fe57330afc900cf76d0ff0df9f64 | tools/server/php_linux/libxml2/lib/python2.4/site-packages/libxml2.py | python | parserCtxt.parseQuotedString | (self) | return ret | Parse and return a string between quotes or doublequotes
TODO: Deprecated, to be removed at next drop of binary
compatibility | Parse and return a string between quotes or doublequotes
TODO: Deprecated, to be removed at next drop of binary
compatibility | [
"Parse",
"and",
"return",
"a",
"string",
"between",
"quotes",
"or",
"doublequotes",
"TODO",
":",
"Deprecated",
"to",
"be",
"removed",
"at",
"next",
"drop",
"of",
"binary",
"compatibility"
] | def parseQuotedString(self):
"""Parse and return a string between quotes or doublequotes
TODO: Deprecated, to be removed at next drop of binary
compatibility """
ret = libxml2mod.xmlParseQuotedString(self._o)
return ret | [
"def",
"parseQuotedString",
"(",
"self",
")",
":",
"ret",
"=",
"libxml2mod",
".",
"xmlParseQuotedString",
"(",
"self",
".",
"_o",
")",
"return",
"ret"
] | https://github.com/SequoiaDB/SequoiaDB/blob/2894ed7e5bd6fe57330afc900cf76d0ff0df9f64/tools/server/php_linux/libxml2/lib/python2.4/site-packages/libxml2.py#L5353-L5358 | |
apache/incubator-weex | 5c25f0b59f7ac90703c363e7261f60bd06356dbe | weex_core/tools/cpplint.py | python | UpdateIncludeState | (filename, include_dict, io=codecs) | return True | Fill up the include_dict with new includes found from the file.
Args:
filename: the name of the header to read.
include_dict: a dictionary in which the headers are inserted.
io: The io factory to use to read the file. Provided for testability.
Returns:
True if a header was successfully added. Fals... | Fill up the include_dict with new includes found from the file. | [
"Fill",
"up",
"the",
"include_dict",
"with",
"new",
"includes",
"found",
"from",
"the",
"file",
"."
] | def UpdateIncludeState(filename, include_dict, io=codecs):
"""Fill up the include_dict with new includes found from the file.
Args:
filename: the name of the header to read.
include_dict: a dictionary in which the headers are inserted.
io: The io factory to use to read the file. Provided for testabilit... | [
"def",
"UpdateIncludeState",
"(",
"filename",
",",
"include_dict",
",",
"io",
"=",
"codecs",
")",
":",
"headerfile",
"=",
"None",
"try",
":",
"headerfile",
"=",
"io",
".",
"open",
"(",
"filename",
",",
"'r'",
",",
"'utf8'",
",",
"'replace'",
")",
"except... | https://github.com/apache/incubator-weex/blob/5c25f0b59f7ac90703c363e7261f60bd06356dbe/weex_core/tools/cpplint.py#L5471-L5495 | |
clementine-player/Clementine | 111379dfd027802b59125829fcf87e3e1d0ad73b | dist/cpplint.py | python | CheckForFunctionLengths | (filename, clean_lines, linenum,
function_state, error) | Reports for long function bodies.
For an overview why this is done, see:
http://google-styleguide.googlecode.com/svn/trunk/cppguide.xml#Write_Short_Functions
Uses a simplistic algorithm assuming other style guidelines
(especially spacing) are followed.
Only checks unindented functions, so class members are ... | Reports for long function bodies. | [
"Reports",
"for",
"long",
"function",
"bodies",
"."
] | def CheckForFunctionLengths(filename, clean_lines, linenum,
function_state, error):
"""Reports for long function bodies.
For an overview why this is done, see:
http://google-styleguide.googlecode.com/svn/trunk/cppguide.xml#Write_Short_Functions
Uses a simplistic algorithm assuming ... | [
"def",
"CheckForFunctionLengths",
"(",
"filename",
",",
"clean_lines",
",",
"linenum",
",",
"function_state",
",",
"error",
")",
":",
"lines",
"=",
"clean_lines",
".",
"lines",
"line",
"=",
"lines",
"[",
"linenum",
"]",
"joined_line",
"=",
"''",
"starting_func... | https://github.com/clementine-player/Clementine/blob/111379dfd027802b59125829fcf87e3e1d0ad73b/dist/cpplint.py#L2776-L2841 | ||
Kitware/ParaView | f760af9124ff4634b23ebbeab95a4f56e0261955 | Plugins/pvblot/blotish.py | python | tmin | (value=None) | Set deltime | Set deltime | [
"Set",
"deltime"
] | def tmin(value=None):
"""Set deltime"""
state.time_selection.set_tmin(_maybe_convert(value, float))
state.time_selection.print_show() | [
"def",
"tmin",
"(",
"value",
"=",
"None",
")",
":",
"state",
".",
"time_selection",
".",
"set_tmin",
"(",
"_maybe_convert",
"(",
"value",
",",
"float",
")",
")",
"state",
".",
"time_selection",
".",
"print_show",
"(",
")"
] | https://github.com/Kitware/ParaView/blob/f760af9124ff4634b23ebbeab95a4f56e0261955/Plugins/pvblot/blotish.py#L905-L908 | ||
catboost/catboost | 167f64f237114a4d10b2b4ee42adb4569137debe | contrib/python/pandas/py3/pandas/io/formats/latex.py | python | LatexFormatter.column_format | (self) | return self._column_format | Column format. | Column format. | [
"Column",
"format",
"."
] | def column_format(self) -> str | None:
"""Column format."""
return self._column_format | [
"def",
"column_format",
"(",
"self",
")",
"->",
"str",
"|",
"None",
":",
"return",
"self",
".",
"_column_format"
] | https://github.com/catboost/catboost/blob/167f64f237114a4d10b2b4ee42adb4569137debe/contrib/python/pandas/py3/pandas/io/formats/latex.py#L752-L754 | |
pytorch/pytorch | 7176c92687d3cc847cc046bf002269c6949a21c2 | torch/distributed/fsdp/fully_sharded_data_parallel.py | python | FullyShardedDataParallel._lazy_init | (self) | Initialization steps that should happen lazily, typically right
before the first forward pass. | Initialization steps that should happen lazily, typically right
before the first forward pass. | [
"Initialization",
"steps",
"that",
"should",
"happen",
"lazily",
"typically",
"right",
"before",
"the",
"first",
"forward",
"pass",
"."
] | def _lazy_init(self) -> None:
"""Initialization steps that should happen lazily, typically right
before the first forward pass.
"""
# Initialize param attributes lazily, in case the param's dtype or
# device changes after __init__.
for p in self.params:
self._... | [
"def",
"_lazy_init",
"(",
"self",
")",
"->",
"None",
":",
"# Initialize param attributes lazily, in case the param's dtype or",
"# device changes after __init__.",
"for",
"p",
"in",
"self",
".",
"params",
":",
"self",
".",
"_init_param_attributes",
"(",
"p",
")",
"# Ini... | https://github.com/pytorch/pytorch/blob/7176c92687d3cc847cc046bf002269c6949a21c2/torch/distributed/fsdp/fully_sharded_data_parallel.py#L444-L476 | ||
LiquidPlayer/LiquidCore | 9405979363f2353ac9a71ad8ab59685dd7f919c9 | deps/boost_1_66_0/tools/build/src/build/targets.py | python | ProjectTarget.mark_targets_as_explicit | (self, target_names) | Add 'target' to the list of targets in this project
that should be build only by explicit request. | Add 'target' to the list of targets in this project
that should be build only by explicit request. | [
"Add",
"target",
"to",
"the",
"list",
"of",
"targets",
"in",
"this",
"project",
"that",
"should",
"be",
"build",
"only",
"by",
"explicit",
"request",
"."
] | def mark_targets_as_explicit (self, target_names):
"""Add 'target' to the list of targets in this project
that should be build only by explicit request."""
# Record the name of the target, not instance, since this
# rule is called before main target instaces are created.
assert ... | [
"def",
"mark_targets_as_explicit",
"(",
"self",
",",
"target_names",
")",
":",
"# Record the name of the target, not instance, since this",
"# rule is called before main target instaces are created.",
"assert",
"is_iterable_typed",
"(",
"target_names",
",",
"basestring",
")",
"self... | https://github.com/LiquidPlayer/LiquidCore/blob/9405979363f2353ac9a71ad8ab59685dd7f919c9/deps/boost_1_66_0/tools/build/src/build/targets.py#L471-L478 | ||
cathywu/Sentiment-Analysis | eb501fd1375c0c3f3ab430f963255f1bb858e659 | PyML-0.7.9/PyML/utils/myio.py | python | csvread | (fileName, delim = ',') | return data | read a character array from a file in csv format | read a character array from a file in csv format | [
"read",
"a",
"character",
"array",
"from",
"a",
"file",
"in",
"csv",
"format"
] | def csvread(fileName, delim = ',') :
'''read a character array from a file in csv format'''
import misc
fileHandle = open(fileName, "r")
line = fileHandle.readline()
if delim == ' ' : delim = None
data = misc.emptyLOL(len(line.split(delim)))
dim = len(data)
while 1 :
... | [
"def",
"csvread",
"(",
"fileName",
",",
"delim",
"=",
"','",
")",
":",
"import",
"misc",
"fileHandle",
"=",
"open",
"(",
"fileName",
",",
"\"r\"",
")",
"line",
"=",
"fileHandle",
".",
"readline",
"(",
")",
"if",
"delim",
"==",
"' '",
":",
"delim",
"=... | https://github.com/cathywu/Sentiment-Analysis/blob/eb501fd1375c0c3f3ab430f963255f1bb858e659/PyML-0.7.9/PyML/utils/myio.py#L76-L102 | |
google/earthenterprise | 0fe84e29be470cd857e3a0e52e5d0afd5bb8cee9 | earth_enterprise/src/google/protobuf-py/mox.py | python | Mox.CreateMockAnything | (self) | return new_mock | Create a mock that will accept any method calls.
This does not enforce an interface. | Create a mock that will accept any method calls. | [
"Create",
"a",
"mock",
"that",
"will",
"accept",
"any",
"method",
"calls",
"."
] | def CreateMockAnything(self):
"""Create a mock that will accept any method calls.
This does not enforce an interface.
"""
new_mock = MockAnything()
self._mock_objects.append(new_mock)
return new_mock | [
"def",
"CreateMockAnything",
"(",
"self",
")",
":",
"new_mock",
"=",
"MockAnything",
"(",
")",
"self",
".",
"_mock_objects",
".",
"append",
"(",
"new_mock",
")",
"return",
"new_mock"
] | https://github.com/google/earthenterprise/blob/0fe84e29be470cd857e3a0e52e5d0afd5bb8cee9/earth_enterprise/src/google/protobuf-py/mox.py#L179-L187 | |
wlanjie/AndroidFFmpeg | 7baf9122f4b8e1c74e7baf4be5c422c7a5ba5aaf | tools/fdk-aac-build/armeabi-v7a/toolchain/lib/python2.7/decimal.py | python | Context.quantize | (self, a, b) | return a.quantize(b, context=self) | Returns a value equal to 'a' (rounded), having the exponent of 'b'.
The coefficient of the result is derived from that of the left-hand
operand. It may be rounded using the current rounding setting (if the
exponent is being increased), multiplied by a positive power of ten (if
the expo... | Returns a value equal to 'a' (rounded), having the exponent of 'b'. | [
"Returns",
"a",
"value",
"equal",
"to",
"a",
"(",
"rounded",
")",
"having",
"the",
"exponent",
"of",
"b",
"."
] | def quantize(self, a, b):
"""Returns a value equal to 'a' (rounded), having the exponent of 'b'.
The coefficient of the result is derived from that of the left-hand
operand. It may be rounded using the current rounding setting (if the
exponent is being increased), multiplied by a posit... | [
"def",
"quantize",
"(",
"self",
",",
"a",
",",
"b",
")",
":",
"a",
"=",
"_convert_other",
"(",
"a",
",",
"raiseit",
"=",
"True",
")",
"return",
"a",
".",
"quantize",
"(",
"b",
",",
"context",
"=",
"self",
")"
] | https://github.com/wlanjie/AndroidFFmpeg/blob/7baf9122f4b8e1c74e7baf4be5c422c7a5ba5aaf/tools/fdk-aac-build/armeabi-v7a/toolchain/lib/python2.7/decimal.py#L5045-L5101 | |
Xilinx/Vitis-AI | fc74d404563d9951b57245443c73bef389f3657f | tools/Vitis-AI-Quantizer/vai_q_pytorch/nndct_shared/utils/registry.py | python | Registry.register | (self, obj, name=None) | Registers a Python object "obj" for the given "name".
Args:
obj: The object to add to the registry.
name: An optional string specifying the registry key for the obj.
If None, obj.__name__ will be used.
Raises:
KeyError: If same name is registered twice. | Registers a Python object "obj" for the given "name". | [
"Registers",
"a",
"Python",
"object",
"obj",
"for",
"the",
"given",
"name",
"."
] | def register(self, obj, name=None):
"""Registers a Python object "obj" for the given "name".
Args:
obj: The object to add to the registry.
name: An optional string specifying the registry key for the obj.
If None, obj.__name__ will be used.
Raises:
KeyError: If same name is re... | [
"def",
"register",
"(",
"self",
",",
"obj",
",",
"name",
"=",
"None",
")",
":",
"if",
"not",
"name",
":",
"name",
"=",
"obj",
".",
"__name__",
"if",
"name",
"in",
"self",
".",
"_registry",
":",
"raise",
"KeyError",
"(",
"\"Name '%s' has been registered i... | https://github.com/Xilinx/Vitis-AI/blob/fc74d404563d9951b57245443c73bef389f3657f/tools/Vitis-AI-Quantizer/vai_q_pytorch/nndct_shared/utils/registry.py#L36-L53 | ||
ceph/ceph | 959663007321a369c83218414a29bd9dbc8bda3a | src/ceph-volume/ceph_volume/devices/lvm/prepare.py | python | Prepare.prepare_data_device | (self, device_type, osd_uuid) | Check if ``arg`` is a device or partition to create an LV out of it
with a distinct volume group name, assigning LV tags on it and
ultimately, returning the logical volume object. Failing to detect
a device or partition will result in error.
:param arg: The value of ``--data`` when par... | Check if ``arg`` is a device or partition to create an LV out of it
with a distinct volume group name, assigning LV tags on it and
ultimately, returning the logical volume object. Failing to detect
a device or partition will result in error. | [
"Check",
"if",
"arg",
"is",
"a",
"device",
"or",
"partition",
"to",
"create",
"an",
"LV",
"out",
"of",
"it",
"with",
"a",
"distinct",
"volume",
"group",
"name",
"assigning",
"LV",
"tags",
"on",
"it",
"and",
"ultimately",
"returning",
"the",
"logical",
"v... | def prepare_data_device(self, device_type, osd_uuid):
"""
Check if ``arg`` is a device or partition to create an LV out of it
with a distinct volume group name, assigning LV tags on it and
ultimately, returning the logical volume object. Failing to detect
a device or partition w... | [
"def",
"prepare_data_device",
"(",
"self",
",",
"device_type",
",",
"osd_uuid",
")",
":",
"device",
"=",
"self",
".",
"args",
".",
"data",
"if",
"disk",
".",
"is_partition",
"(",
"device",
")",
"or",
"disk",
".",
"is_device",
"(",
"device",
")",
":",
"... | https://github.com/ceph/ceph/blob/959663007321a369c83218414a29bd9dbc8bda3a/src/ceph-volume/ceph_volume/devices/lvm/prepare.py#L196-L228 | ||
hughperkins/tf-coriander | 970d3df6c11400ad68405f22b0c42a52374e94ca | tensorflow/python/ops/sparse_ops.py | python | sparse_to_dense | (sparse_indices,
output_shape,
sparse_values,
default_value=0,
validate_indices=True,
name=None) | return gen_sparse_ops._sparse_to_dense(
sparse_indices,
output_shape,
sparse_values,
default_value=default_value,
validate_indices=validate_indices,
name=name) | Converts a sparse representation into a dense tensor.
Builds an array `dense` with shape `output_shape` such that
```python
# If sparse_indices is scalar
dense[i] = (i == sparse_indices ? sparse_values : default_value)
# If sparse_indices is a vector, then for each i
dense[sparse_indices[i]] = sparse_val... | Converts a sparse representation into a dense tensor. | [
"Converts",
"a",
"sparse",
"representation",
"into",
"a",
"dense",
"tensor",
"."
] | def sparse_to_dense(sparse_indices,
output_shape,
sparse_values,
default_value=0,
validate_indices=True,
name=None):
"""Converts a sparse representation into a dense tensor.
Builds an array `dense` with shape `outpu... | [
"def",
"sparse_to_dense",
"(",
"sparse_indices",
",",
"output_shape",
",",
"sparse_values",
",",
"default_value",
"=",
"0",
",",
"validate_indices",
"=",
"True",
",",
"name",
"=",
"None",
")",
":",
"return",
"gen_sparse_ops",
".",
"_sparse_to_dense",
"(",
"spars... | https://github.com/hughperkins/tf-coriander/blob/970d3df6c11400ad68405f22b0c42a52374e94ca/tensorflow/python/ops/sparse_ops.py#L503-L555 | |
wxWidgets/wxPython-Classic | 19571e1ae65f1ac445f5491474121998c97a1bf0 | wx/lib/agw/flatmenu.py | python | FlatMenuBar.SetOptions | (self, options) | Sets the :class:`FlatMenuBar` options, whether to show a toolbar, to use LCD screen settings etc...
:param integer `options`: a combination of the following bits:
========================= ========= =============================
`options` Bit Hex Value Description
... | Sets the :class:`FlatMenuBar` options, whether to show a toolbar, to use LCD screen settings etc... | [
"Sets",
"the",
":",
"class",
":",
"FlatMenuBar",
"options",
"whether",
"to",
"show",
"a",
"toolbar",
"to",
"use",
"LCD",
"screen",
"settings",
"etc",
"..."
] | def SetOptions(self, options):
"""
Sets the :class:`FlatMenuBar` options, whether to show a toolbar, to use LCD screen settings etc...
:param integer `options`: a combination of the following bits:
========================= ========= =============================
`opt... | [
"def",
"SetOptions",
"(",
"self",
",",
"options",
")",
":",
"self",
".",
"_options",
"=",
"options",
"self",
".",
"_showToolbar",
"=",
"options",
"&",
"FM_OPT_SHOW_TOOLBAR",
"self",
".",
"_showCustomize",
"=",
"options",
"&",
"FM_OPT_SHOW_CUSTOMIZE",
"self",
"... | https://github.com/wxWidgets/wxPython-Classic/blob/19571e1ae65f1ac445f5491474121998c97a1bf0/wx/lib/agw/flatmenu.py#L2544-L2571 | ||
catboost/catboost | 167f64f237114a4d10b2b4ee42adb4569137debe | contrib/python/importlib-metadata/py3/importlib_metadata/__init__.py | python | DistributionFinder.find_distributions | (self, context=Context()) | Find distributions.
Return an iterable of all Distribution instances capable of
loading the metadata for packages matching the ``context``,
a DistributionFinder.Context instance. | Find distributions. | [
"Find",
"distributions",
"."
] | def find_distributions(self, context=Context()):
"""
Find distributions.
Return an iterable of all Distribution instances capable of
loading the metadata for packages matching the ``context``,
a DistributionFinder.Context instance.
""" | [
"def",
"find_distributions",
"(",
"self",
",",
"context",
"=",
"Context",
"(",
")",
")",
":"
] | https://github.com/catboost/catboost/blob/167f64f237114a4d10b2b4ee42adb4569137debe/contrib/python/importlib-metadata/py3/importlib_metadata/__init__.py#L751-L758 | ||
gwaldron/osgearth | 4c521857d59a69743e4a9cedba00afe570f984e8 | src/third_party/tinygltf/deps/cpplint.py | python | NestingState.InExternC | (self) | return self.stack and isinstance(self.stack[-1], _ExternCInfo) | Check if we are currently one level inside an 'extern "C"' block.
Returns:
True if top of the stack is an extern block, False otherwise. | Check if we are currently one level inside an 'extern "C"' block. | [
"Check",
"if",
"we",
"are",
"currently",
"one",
"level",
"inside",
"an",
"extern",
"C",
"block",
"."
] | def InExternC(self):
"""Check if we are currently one level inside an 'extern "C"' block.
Returns:
True if top of the stack is an extern block, False otherwise.
"""
return self.stack and isinstance(self.stack[-1], _ExternCInfo) | [
"def",
"InExternC",
"(",
"self",
")",
":",
"return",
"self",
".",
"stack",
"and",
"isinstance",
"(",
"self",
".",
"stack",
"[",
"-",
"1",
"]",
",",
"_ExternCInfo",
")"
] | https://github.com/gwaldron/osgearth/blob/4c521857d59a69743e4a9cedba00afe570f984e8/src/third_party/tinygltf/deps/cpplint.py#L2242-L2248 | |
stan-dev/math | 5fd79f89933269a4ca4d8dd1fde2a36d53d4768c | lib/tbb_2020.3/python/tbb/pool.py | python | ApplyResult.successful | (self) | return self._success | Returns whether the call completed without raising an
exception. Will raise AssertionError if the result is not
ready. | Returns whether the call completed without raising an
exception. Will raise AssertionError if the result is not
ready. | [
"Returns",
"whether",
"the",
"call",
"completed",
"without",
"raising",
"an",
"exception",
".",
"Will",
"raise",
"AssertionError",
"if",
"the",
"result",
"is",
"not",
"ready",
"."
] | def successful(self):
"""Returns whether the call completed without raising an
exception. Will raise AssertionError if the result is not
ready."""
assert self.ready()
return self._success | [
"def",
"successful",
"(",
"self",
")",
":",
"assert",
"self",
".",
"ready",
"(",
")",
"return",
"self",
".",
"_success"
] | https://github.com/stan-dev/math/blob/5fd79f89933269a4ca4d8dd1fde2a36d53d4768c/lib/tbb_2020.3/python/tbb/pool.py#L365-L370 | |
pgRouting/osm2pgrouting | 8491929fc4037d308f271e84d59bb96da3c28aa2 | tools/cpplint.py | python | NestingState.InAsmBlock | (self) | return self.stack and self.stack[-1].inline_asm != _NO_ASM | Check if we are currently one level inside an inline ASM block.
Returns:
True if the top of the stack is a block containing inline ASM. | Check if we are currently one level inside an inline ASM block. | [
"Check",
"if",
"we",
"are",
"currently",
"one",
"level",
"inside",
"an",
"inline",
"ASM",
"block",
"."
] | def InAsmBlock(self):
"""Check if we are currently one level inside an inline ASM block.
Returns:
True if the top of the stack is a block containing inline ASM.
"""
return self.stack and self.stack[-1].inline_asm != _NO_ASM | [
"def",
"InAsmBlock",
"(",
"self",
")",
":",
"return",
"self",
".",
"stack",
"and",
"self",
".",
"stack",
"[",
"-",
"1",
"]",
".",
"inline_asm",
"!=",
"_NO_ASM"
] | https://github.com/pgRouting/osm2pgrouting/blob/8491929fc4037d308f271e84d59bb96da3c28aa2/tools/cpplint.py#L2256-L2262 | |
apache/arrow | af33dd1157eb8d7d9bfac25ebf61445b793b7943 | python/pyarrow/__init__.py | python | show_info | () | Print detailed version and platform information, for error reporting | Print detailed version and platform information, for error reporting | [
"Print",
"detailed",
"version",
"and",
"platform",
"information",
"for",
"error",
"reporting"
] | def show_info():
"""
Print detailed version and platform information, for error reporting
"""
show_versions()
def print_entry(label, value):
print(f" {label: <20}: {value: <8}")
print("\nPlatform:")
print_entry("OS / Arch", f"{_platform.system()} {_platform.machine()}")
print_... | [
"def",
"show_info",
"(",
")",
":",
"show_versions",
"(",
")",
"def",
"print_entry",
"(",
"label",
",",
"value",
")",
":",
"print",
"(",
"f\" {label: <20}: {value: <8}\"",
")",
"print",
"(",
"\"\\nPlatform:\"",
")",
"print_entry",
"(",
"\"OS / Arch\"",
",",
"f... | https://github.com/apache/arrow/blob/af33dd1157eb8d7d9bfac25ebf61445b793b7943/python/pyarrow/__init__.py#L119-L157 | ||
aws/lumberyard | f85344403c1c2e77ec8c75deb2c116e97b713217 | dev/Gems/CloudGemMetric/v1/AWS/python/windows/Lib/llvmlite/six.py | python | with_metaclass | (meta, *bases) | return type.__new__(metaclass, 'temporary_class', (), {}) | Create a base class with a metaclass. | Create a base class with a metaclass. | [
"Create",
"a",
"base",
"class",
"with",
"a",
"metaclass",
"."
] | def with_metaclass(meta, *bases):
"""Create a base class with a metaclass."""
# This requires a bit of explanation: the basic idea is to make a dummy
# metaclass for one level of class instantiation that replaces itself with
# the actual metaclass.
class metaclass(meta):
def __new__(cls, nam... | [
"def",
"with_metaclass",
"(",
"meta",
",",
"*",
"bases",
")",
":",
"# This requires a bit of explanation: the basic idea is to make a dummy",
"# metaclass for one level of class instantiation that replaces itself with",
"# the actual metaclass.",
"class",
"metaclass",
"(",
"meta",
")... | https://github.com/aws/lumberyard/blob/f85344403c1c2e77ec8c75deb2c116e97b713217/dev/Gems/CloudGemMetric/v1/AWS/python/windows/Lib/llvmlite/six.py#L730-L738 | |
aws/lumberyard | f85344403c1c2e77ec8c75deb2c116e97b713217 | dev/Tools/AWSPythonSDK/1.5.8/botocore/credentials.py | python | AssumeRoleCredentialFetcher._get_credentials | (self) | return client.assume_role(**kwargs) | Get credentials by calling assume role. | Get credentials by calling assume role. | [
"Get",
"credentials",
"by",
"calling",
"assume",
"role",
"."
] | def _get_credentials(self):
"""Get credentials by calling assume role."""
kwargs = self._assume_role_kwargs()
client = self._create_client()
return client.assume_role(**kwargs) | [
"def",
"_get_credentials",
"(",
"self",
")",
":",
"kwargs",
"=",
"self",
".",
"_assume_role_kwargs",
"(",
")",
"client",
"=",
"self",
".",
"_create_client",
"(",
")",
"return",
"client",
".",
"assume_role",
"(",
"*",
"*",
"kwargs",
")"
] | https://github.com/aws/lumberyard/blob/f85344403c1c2e77ec8c75deb2c116e97b713217/dev/Tools/AWSPythonSDK/1.5.8/botocore/credentials.py#L683-L687 | |
plumonito/dtslam | 5994bb9cf7a11981b830370db206bceb654c085d | 3rdparty/opencv-git/3rdparty/jinja2/environment.py | python | Environment.preprocess | (self, source, name=None, filename=None) | return reduce(lambda s, e: e.preprocess(s, name, filename),
self.iter_extensions(), text_type(source)) | Preprocesses the source with all extensions. This is automatically
called for all parsing and compiling methods but *not* for :meth:`lex`
because there you usually only want the actual source tokenized. | Preprocesses the source with all extensions. This is automatically
called for all parsing and compiling methods but *not* for :meth:`lex`
because there you usually only want the actual source tokenized. | [
"Preprocesses",
"the",
"source",
"with",
"all",
"extensions",
".",
"This",
"is",
"automatically",
"called",
"for",
"all",
"parsing",
"and",
"compiling",
"methods",
"but",
"*",
"not",
"*",
"for",
":",
"meth",
":",
"lex",
"because",
"there",
"you",
"usually",
... | def preprocess(self, source, name=None, filename=None):
"""Preprocesses the source with all extensions. This is automatically
called for all parsing and compiling methods but *not* for :meth:`lex`
because there you usually only want the actual source tokenized.
"""
return reduce... | [
"def",
"preprocess",
"(",
"self",
",",
"source",
",",
"name",
"=",
"None",
",",
"filename",
"=",
"None",
")",
":",
"return",
"reduce",
"(",
"lambda",
"s",
",",
"e",
":",
"e",
".",
"preprocess",
"(",
"s",
",",
"name",
",",
"filename",
")",
",",
"s... | https://github.com/plumonito/dtslam/blob/5994bb9cf7a11981b830370db206bceb654c085d/3rdparty/opencv-git/3rdparty/jinja2/environment.py#L478-L484 | |
mantidproject/mantid | 03deeb89254ec4289edb8771e0188c2090a02f32 | Framework/PythonInterface/plugins/algorithms/WorkflowAlgorithms/DirectILLCollectData.py | python | _createFlatBkg | (ws, wsType, windowWidth, wsNames, algorithmLogging) | return bkgWS | Return a flat background workspace. | Return a flat background workspace. | [
"Return",
"a",
"flat",
"background",
"workspace",
"."
] | def _createFlatBkg(ws, wsType, windowWidth, wsNames, algorithmLogging):
"""Return a flat background workspace."""
if wsType == common.WS_CONTENT_DETS:
bkgWSName = wsNames.withSuffix('flat_bkg_for_detectors')
else:
bkgWSName = wsNames.withSuffix('flat_bkg_for_monitors')
bkgWS = CalculateF... | [
"def",
"_createFlatBkg",
"(",
"ws",
",",
"wsType",
",",
"windowWidth",
",",
"wsNames",
",",
"algorithmLogging",
")",
":",
"if",
"wsType",
"==",
"common",
".",
"WS_CONTENT_DETS",
":",
"bkgWSName",
"=",
"wsNames",
".",
"withSuffix",
"(",
"'flat_bkg_for_detectors'"... | https://github.com/mantidproject/mantid/blob/03deeb89254ec4289edb8771e0188c2090a02f32/Framework/PythonInterface/plugins/algorithms/WorkflowAlgorithms/DirectILLCollectData.py#L108-L129 | |
ideawu/ssdb | f229ba277c7f7d0ca5a441c0c6fb3d1209af68e4 | deps/cpy/antlr3/tree.py | python | CommonTreeAdaptor.dupNode | (self, treeNode) | return treeNode.dupNode() | Duplicate a node. This is part of the factory;
override if you want another kind of node to be built.
I could use reflection to prevent having to override this
but reflection is slow. | Duplicate a node. This is part of the factory;
override if you want another kind of node to be built. | [
"Duplicate",
"a",
"node",
".",
"This",
"is",
"part",
"of",
"the",
"factory",
";",
"override",
"if",
"you",
"want",
"another",
"kind",
"of",
"node",
"to",
"be",
"built",
"."
] | def dupNode(self, treeNode):
"""
Duplicate a node. This is part of the factory;
override if you want another kind of node to be built.
I could use reflection to prevent having to override this
but reflection is slow.
"""
if treeNode is None:
return ... | [
"def",
"dupNode",
"(",
"self",
",",
"treeNode",
")",
":",
"if",
"treeNode",
"is",
"None",
":",
"return",
"None",
"return",
"treeNode",
".",
"dupNode",
"(",
")"
] | https://github.com/ideawu/ssdb/blob/f229ba277c7f7d0ca5a441c0c6fb3d1209af68e4/deps/cpy/antlr3/tree.py#L1401-L1413 | |
panda3d/panda3d | 833ad89ebad58395d0af0b7ec08538e5e4308265 | direct/src/filter/CommonFilters.py | python | CommonFilters.delSrgbEncode | (self) | return True | Reverses the effects of setSrgbEncode. | Reverses the effects of setSrgbEncode. | [
"Reverses",
"the",
"effects",
"of",
"setSrgbEncode",
"."
] | def delSrgbEncode(self):
""" Reverses the effects of setSrgbEncode. """
if "SrgbEncode" in self.configuration:
old_enable = self.configuration["SrgbEncode"]
del self.configuration["SrgbEncode"]
return self.reconfigure(old_enable, "SrgbEncode")
return True | [
"def",
"delSrgbEncode",
"(",
"self",
")",
":",
"if",
"\"SrgbEncode\"",
"in",
"self",
".",
"configuration",
":",
"old_enable",
"=",
"self",
".",
"configuration",
"[",
"\"SrgbEncode\"",
"]",
"del",
"self",
".",
"configuration",
"[",
"\"SrgbEncode\"",
"]",
"retur... | https://github.com/panda3d/panda3d/blob/833ad89ebad58395d0af0b7ec08538e5e4308265/direct/src/filter/CommonFilters.py#L622-L628 | |
jackaudio/jack2 | 21b293dbc37d42446141a08922cdec0d2550c6a0 | waflib/Logs.py | python | formatter.format | (self, rec) | return logging.Formatter.format(self, rec) | Formats records and adds colors as needed. The records do not get
a leading hour format if the logging level is above *INFO*. | Formats records and adds colors as needed. The records do not get
a leading hour format if the logging level is above *INFO*. | [
"Formats",
"records",
"and",
"adds",
"colors",
"as",
"needed",
".",
"The",
"records",
"do",
"not",
"get",
"a",
"leading",
"hour",
"format",
"if",
"the",
"logging",
"level",
"is",
"above",
"*",
"INFO",
"*",
"."
] | def format(self, rec):
"""
Formats records and adds colors as needed. The records do not get
a leading hour format if the logging level is above *INFO*.
"""
try:
msg = rec.msg.decode('utf-8')
except Exception:
msg = rec.msg
use = colors_lst['USE']
if (use == 1 and rec.stream.isatty()) or use == 2... | [
"def",
"format",
"(",
"self",
",",
"rec",
")",
":",
"try",
":",
"msg",
"=",
"rec",
".",
"msg",
".",
"decode",
"(",
"'utf-8'",
")",
"except",
"Exception",
":",
"msg",
"=",
"rec",
".",
"msg",
"use",
"=",
"colors_lst",
"[",
"'USE'",
"]",
"if",
"(",
... | https://github.com/jackaudio/jack2/blob/21b293dbc37d42446141a08922cdec0d2550c6a0/waflib/Logs.py#L208-L246 | |
floooh/oryol | eb08cffe1b1cb6b05ed14ec692bca9372cef064e | fips-files/generators/util/png.py | python | read_pnm_header | (infile, supported=('P5','P6')) | return header[0], header[1], header[2], depth, header[3] | Read a PNM header, returning (format,width,height,depth,maxval).
`width` and `height` are in pixels. `depth` is the number of
channels in the image; for PBM and PGM it is synthesized as 1, for
PPM as 3; for PAM images it is read from the header. `maxval` is
synthesized (as 1) for PBM images. | Read a PNM header, returning (format,width,height,depth,maxval).
`width` and `height` are in pixels. `depth` is the number of
channels in the image; for PBM and PGM it is synthesized as 1, for
PPM as 3; for PAM images it is read from the header. `maxval` is
synthesized (as 1) for PBM images. | [
"Read",
"a",
"PNM",
"header",
"returning",
"(",
"format",
"width",
"height",
"depth",
"maxval",
")",
".",
"width",
"and",
"height",
"are",
"in",
"pixels",
".",
"depth",
"is",
"the",
"number",
"of",
"channels",
"in",
"the",
"image",
";",
"for",
"PBM",
"... | def read_pnm_header(infile, supported=('P5','P6')):
"""
Read a PNM header, returning (format,width,height,depth,maxval).
`width` and `height` are in pixels. `depth` is the number of
channels in the image; for PBM and PGM it is synthesized as 1, for
PPM as 3; for PAM images it is read from the heade... | [
"def",
"read_pnm_header",
"(",
"infile",
",",
"supported",
"=",
"(",
"'P5'",
",",
"'P6'",
")",
")",
":",
"# Generally, see http://netpbm.sourceforge.net/doc/ppm.html",
"# and http://netpbm.sourceforge.net/doc/pam.html",
"supported",
"=",
"[",
"strtobytes",
"(",
"x",
")",
... | https://github.com/floooh/oryol/blob/eb08cffe1b1cb6b05ed14ec692bca9372cef064e/fips-files/generators/util/png.py#L3511-L3588 | |
miyosuda/TensorFlowAndroidMNIST | 7b5a4603d2780a8a2834575706e9001977524007 | jni-build/jni/include/tensorflow/python/ops/image_ops.py | python | random_saturation | (image, lower, upper, seed=None) | return adjust_saturation(image, saturation_factor) | Adjust the saturation of an RGB image by a random factor.
Equivalent to `adjust_saturation()` but uses a `saturation_factor` randomly
picked in the interval `[lower, upper]`.
Args:
image: RGB image or images. Size of the last dimension must be 3.
lower: float. Lower bound for the random saturation fact... | Adjust the saturation of an RGB image by a random factor. | [
"Adjust",
"the",
"saturation",
"of",
"an",
"RGB",
"image",
"by",
"a",
"random",
"factor",
"."
] | def random_saturation(image, lower, upper, seed=None):
"""Adjust the saturation of an RGB image by a random factor.
Equivalent to `adjust_saturation()` but uses a `saturation_factor` randomly
picked in the interval `[lower, upper]`.
Args:
image: RGB image or images. Size of the last dimension must be 3.
... | [
"def",
"random_saturation",
"(",
"image",
",",
"lower",
",",
"upper",
",",
"seed",
"=",
"None",
")",
":",
"if",
"upper",
"<=",
"lower",
":",
"raise",
"ValueError",
"(",
"'upper must be > lower.'",
")",
"if",
"lower",
"<",
"0",
":",
"raise",
"ValueError",
... | https://github.com/miyosuda/TensorFlowAndroidMNIST/blob/7b5a4603d2780a8a2834575706e9001977524007/jni-build/jni/include/tensorflow/python/ops/image_ops.py#L1272-L1301 | |
synfig/synfig | a5ec91db5b751dc12e4400ccfb5c063fd6d2d928 | synfig-studio/plugins/lottie-exporter/common/WidthPointList.py | python | WidthPointList.get_len | (self) | return len(self.entry_list) | Returns the number of entries | Returns the number of entries | [
"Returns",
"the",
"number",
"of",
"entries"
] | def get_len(self):
"""
Returns the number of entries
"""
return len(self.entry_list) | [
"def",
"get_len",
"(",
"self",
")",
":",
"return",
"len",
"(",
"self",
".",
"entry_list",
")"
] | https://github.com/synfig/synfig/blob/a5ec91db5b751dc12e4400ccfb5c063fd6d2d928/synfig-studio/plugins/lottie-exporter/common/WidthPointList.py#L103-L107 | |
NVIDIA/nvvl | a94c7493ec9f309cc54acf81a66c62a068a06962 | examples/pytorch_superres/nvidia/fp16.py | python | FP16_Optimizer.clip_fp32_grads | (self, max_norm, norm_type=2) | Clips fp32 master gradients via torch.nn.utils.clip_grad_norm.
Args:
max_norm (float or int): max norm of the gradients
norm_type (float or int): type of the used p-norm. Can be ``'inf'`` for
infinity norm.
Returns:
Total norm of the current fp32 gra... | Clips fp32 master gradients via torch.nn.utils.clip_grad_norm. | [
"Clips",
"fp32",
"master",
"gradients",
"via",
"torch",
".",
"nn",
".",
"utils",
".",
"clip_grad_norm",
"."
] | def clip_fp32_grads(self, max_norm, norm_type=2):
"""
Clips fp32 master gradients via torch.nn.utils.clip_grad_norm.
Args:
max_norm (float or int): max norm of the gradients
norm_type (float or int): type of the used p-norm. Can be ``'inf'`` for
infinity ... | [
"def",
"clip_fp32_grads",
"(",
"self",
",",
"max_norm",
",",
"norm_type",
"=",
"2",
")",
":",
"if",
"not",
"self",
".",
"overflow",
":",
"fp32_params",
"=",
"[",
"]",
"for",
"param_group",
"in",
"self",
".",
"optimizer",
".",
"param_groups",
":",
"for",
... | https://github.com/NVIDIA/nvvl/blob/a94c7493ec9f309cc54acf81a66c62a068a06962/examples/pytorch_superres/nvidia/fp16.py#L165-L187 | ||
nodejs/nan | 8db8c8f544f2b6ce1b0859ef6ecdd0a3873a9e62 | cpplint.py | python | CheckForFunctionLengths | (filename, clean_lines, linenum,
function_state, error) | Reports for long function bodies.
For an overview why this is done, see:
https://google-styleguide.googlecode.com/svn/trunk/cppguide.xml#Write_Short_Functions
Uses a simplistic algorithm assuming other style guidelines
(especially spacing) are followed.
Only checks unindented functions, so class members are... | Reports for long function bodies. | [
"Reports",
"for",
"long",
"function",
"bodies",
"."
] | def CheckForFunctionLengths(filename, clean_lines, linenum,
function_state, error):
"""Reports for long function bodies.
For an overview why this is done, see:
https://google-styleguide.googlecode.com/svn/trunk/cppguide.xml#Write_Short_Functions
Uses a simplistic algorithm assuming... | [
"def",
"CheckForFunctionLengths",
"(",
"filename",
",",
"clean_lines",
",",
"linenum",
",",
"function_state",
",",
"error",
")",
":",
"lines",
"=",
"clean_lines",
".",
"lines",
"line",
"=",
"lines",
"[",
"linenum",
"]",
"joined_line",
"=",
"''",
"starting_func... | https://github.com/nodejs/nan/blob/8db8c8f544f2b6ce1b0859ef6ecdd0a3873a9e62/cpplint.py#L3283-L3348 | ||
rapidsai/cudf | d5b2448fc69f17509304d594f029d0df56984962 | python/cudf/cudf/core/series.py | python | DatetimeProperties.is_month_start | (self) | return (self.day == 1).fillna(False) | Booleans indicating if dates are the first day of the month. | Booleans indicating if dates are the first day of the month. | [
"Booleans",
"indicating",
"if",
"dates",
"are",
"the",
"first",
"day",
"of",
"the",
"month",
"."
] | def is_month_start(self):
"""
Booleans indicating if dates are the first day of the month.
"""
return (self.day == 1).fillna(False) | [
"def",
"is_month_start",
"(",
"self",
")",
":",
"return",
"(",
"self",
".",
"day",
"==",
"1",
")",
".",
"fillna",
"(",
"False",
")"
] | https://github.com/rapidsai/cudf/blob/d5b2448fc69f17509304d594f029d0df56984962/python/cudf/cudf/core/series.py#L4082-L4086 | |
cliqz-oss/keyvi | 957cb7197b2bff78d3afb22ad95e092f89afb0a6 | keyvi/3rdparty/tpie/scripts/stream_header.py | python | read | (file_name, output_file) | Read the TPIE stream in `file_name` (str),
and print its header as JSON to `output_file` (file). | Read the TPIE stream in `file_name` (str),
and print its header as JSON to `output_file` (file). | [
"Read",
"the",
"TPIE",
"stream",
"in",
"file_name",
"(",
"str",
")",
"and",
"print",
"its",
"header",
"as",
"JSON",
"to",
"output_file",
"(",
"file",
")",
"."
] | def read(file_name, output_file):
"""Read the TPIE stream in `file_name` (str),
and print its header as JSON to `output_file` (file)."""
with open(file_name, 'rb') as stream:
values = stream_header.unpack_from(stream.read(stream_header.size))
header_data = dict(zip(field_names, values))
json... | [
"def",
"read",
"(",
"file_name",
",",
"output_file",
")",
":",
"with",
"open",
"(",
"file_name",
",",
"'rb'",
")",
"as",
"stream",
":",
"values",
"=",
"stream_header",
".",
"unpack_from",
"(",
"stream",
".",
"read",
"(",
"stream_header",
".",
"size",
")"... | https://github.com/cliqz-oss/keyvi/blob/957cb7197b2bff78d3afb22ad95e092f89afb0a6/keyvi/3rdparty/tpie/scripts/stream_header.py#L62-L70 | ||
microsoft/checkedc-clang | a173fefde5d7877b7750e7ce96dd08cf18baebf2 | lldb/examples/python/mach_o.py | python | TerminalColors.white | (self, fg=True) | return '' | Set the foreground or background color to white.
The foreground color will be set if "fg" tests True. The background color will be set if "fg" tests False. | Set the foreground or background color to white.
The foreground color will be set if "fg" tests True. The background color will be set if "fg" tests False. | [
"Set",
"the",
"foreground",
"or",
"background",
"color",
"to",
"white",
".",
"The",
"foreground",
"color",
"will",
"be",
"set",
"if",
"fg",
"tests",
"True",
".",
"The",
"background",
"color",
"will",
"be",
"set",
"if",
"fg",
"tests",
"False",
"."
] | def white(self, fg=True):
'''Set the foreground or background color to white.
The foreground color will be set if "fg" tests True. The background color will be set if "fg" tests False.'''
if self.enabled:
if fg:
return "\x1b[37m"
else:
retu... | [
"def",
"white",
"(",
"self",
",",
"fg",
"=",
"True",
")",
":",
"if",
"self",
".",
"enabled",
":",
"if",
"fg",
":",
"return",
"\"\\x1b[37m\"",
"else",
":",
"return",
"\"\\x1b[47m\"",
"return",
"''"
] | https://github.com/microsoft/checkedc-clang/blob/a173fefde5d7877b7750e7ce96dd08cf18baebf2/lldb/examples/python/mach_o.py#L341-L349 | |
naver/sling | 5671cd445a2caae0b4dd0332299e4cfede05062c | webkit/Tools/Scripts/webkitpy/xcode/simulator.py | python | Simulator.lookup_or_create_device | (self, name, device_type, runtime) | return testing_device | Returns an available iOS Simulator device for testing.
This function will create a new simulator device with the specified name,
device type and runtime if one does not already exist.
:param name: The name of the simulator device to lookup or create.
:type name: str
:param devi... | Returns an available iOS Simulator device for testing. | [
"Returns",
"an",
"available",
"iOS",
"Simulator",
"device",
"for",
"testing",
"."
] | def lookup_or_create_device(self, name, device_type, runtime):
"""
Returns an available iOS Simulator device for testing.
This function will create a new simulator device with the specified name,
device type and runtime if one does not already exist.
:param name: The name of th... | [
"def",
"lookup_or_create_device",
"(",
"self",
",",
"name",
",",
"device_type",
",",
"runtime",
")",
":",
"assert",
"(",
"runtime",
".",
"available",
")",
"testing_device",
"=",
"self",
".",
"device",
"(",
"name",
"=",
"name",
",",
"runtime",
"=",
"runtime... | https://github.com/naver/sling/blob/5671cd445a2caae0b4dd0332299e4cfede05062c/webkit/Tools/Scripts/webkitpy/xcode/simulator.py#L496-L518 | |
hanpfei/chromium-net | 392cc1fa3a8f92f42e4071ab6e674d8e0482f83f | third_party/catapult/third_party/gsutil/third_party/boto/boto/glacier/utils.py | python | tree_hash_from_str | (str_as_bytes) | return bytes_to_hex(tree_hash(chunk_hashes(str_as_bytes))) | :type str_as_bytes: str
:param str_as_bytes: The string for which to compute the tree hash.
:rtype: str
:return: The computed tree hash, returned as hex. | [] | def tree_hash_from_str(str_as_bytes):
"""
:type str_as_bytes: str
:param str_as_bytes: The string for which to compute the tree hash.
:rtype: str
:return: The computed tree hash, returned as hex.
"""
return bytes_to_hex(tree_hash(chunk_hashes(str_as_bytes))) | [
"def",
"tree_hash_from_str",
"(",
"str_as_bytes",
")",
":",
"return",
"bytes_to_hex",
"(",
"tree_hash",
"(",
"chunk_hashes",
"(",
"str_as_bytes",
")",
")",
")"
] | https://github.com/hanpfei/chromium-net/blob/392cc1fa3a8f92f42e4071ab6e674d8e0482f83f/third_party/catapult/third_party/gsutil/third_party/boto/boto/glacier/utils.py#L152-L162 | ||
hanpfei/chromium-net | 392cc1fa3a8f92f42e4071ab6e674d8e0482f83f | third_party/catapult/third_party/coverage/coverage/html.py | python | HtmlStatus.reset | (self) | Initialize to empty. | Initialize to empty. | [
"Initialize",
"to",
"empty",
"."
] | def reset(self):
"""Initialize to empty."""
self.settings = ''
self.files = {} | [
"def",
"reset",
"(",
"self",
")",
":",
"self",
".",
"settings",
"=",
"''",
"self",
".",
"files",
"=",
"{",
"}"
] | https://github.com/hanpfei/chromium-net/blob/392cc1fa3a8f92f42e4071ab6e674d8e0482f83f/third_party/catapult/third_party/coverage/coverage/html.py#L339-L342 | ||
mindspore-ai/mindspore | fb8fd3338605bb34fa5cea054e535a8b1d753fab | mindspore/python/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perchannel_grad.py | python | fake_learned_scale_quant_perchannel_grad_d_compute | (dout, input_data, alpha_data, quant_max_data, neg_trunc,
kernel_name="fake_learned_scale_quant_perchannel_grad_d") | return [dx, dalpha_each] | FakeLearnedScaleQuantPerChannelGradD | FakeLearnedScaleQuantPerChannelGradD | [
"FakeLearnedScaleQuantPerChannelGradD"
] | def fake_learned_scale_quant_perchannel_grad_d_compute(dout, input_data, alpha_data, quant_max_data, neg_trunc,
kernel_name="fake_learned_scale_quant_perchannel_grad_d"):
"""FakeLearnedScaleQuantPerChannelGradD"""
input_shape = te.lang.cce.util.shape_to_lis... | [
"def",
"fake_learned_scale_quant_perchannel_grad_d_compute",
"(",
"dout",
",",
"input_data",
",",
"alpha_data",
",",
"quant_max_data",
",",
"neg_trunc",
",",
"kernel_name",
"=",
"\"fake_learned_scale_quant_perchannel_grad_d\"",
")",
":",
"input_shape",
"=",
"te",
".",
"la... | https://github.com/mindspore-ai/mindspore/blob/fb8fd3338605bb34fa5cea054e535a8b1d753fab/mindspore/python/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perchannel_grad.py#L92-L140 | |
aws/lumberyard | f85344403c1c2e77ec8c75deb2c116e97b713217 | dev/Gems/CloudGemMetric/v1/AWS/python/windows/Lib/pandas/core/frame.py | python | DataFrame.rename | (
self,
mapper: Optional[Renamer] = None,
*,
index: Optional[Renamer] = None,
columns: Optional[Renamer] = None,
axis: Optional[Axis] = None,
copy: bool = True,
inplace: bool = False,
level: Optional[Level] = None,
errors: str = "ignore",
... | return super().rename(
mapper=mapper,
index=index,
columns=columns,
axis=axis,
copy=copy,
inplace=inplace,
level=level,
errors=errors,
) | Alter axes labels.
Function / dict values must be unique (1-to-1). Labels not contained in
a dict / Series will be left as-is. Extra labels listed don't throw an
error.
See the :ref:`user guide <basics.rename>` for more.
Parameters
----------
mapper : dict-like... | Alter axes labels. | [
"Alter",
"axes",
"labels",
"."
] | def rename(
self,
mapper: Optional[Renamer] = None,
*,
index: Optional[Renamer] = None,
columns: Optional[Renamer] = None,
axis: Optional[Axis] = None,
copy: bool = True,
inplace: bool = False,
level: Optional[Level] = None,
errors: str = "... | [
"def",
"rename",
"(",
"self",
",",
"mapper",
":",
"Optional",
"[",
"Renamer",
"]",
"=",
"None",
",",
"*",
",",
"index",
":",
"Optional",
"[",
"Renamer",
"]",
"=",
"None",
",",
"columns",
":",
"Optional",
"[",
"Renamer",
"]",
"=",
"None",
",",
"axis... | https://github.com/aws/lumberyard/blob/f85344403c1c2e77ec8c75deb2c116e97b713217/dev/Gems/CloudGemMetric/v1/AWS/python/windows/Lib/pandas/core/frame.py#L4004-L4134 | |
y123456yz/reading-and-annotate-mongodb-3.6 | 93280293672ca7586dc24af18132aa61e4ed7fcf | mongo/src/third_party/scons-2.5.0/scons-local-2.5.0/SCons/Node/Alias.py | python | Alias.sconsign | (self) | An Alias is not recorded in .sconsign files | An Alias is not recorded in .sconsign files | [
"An",
"Alias",
"is",
"not",
"recorded",
"in",
".",
"sconsign",
"files"
] | def sconsign(self):
"""An Alias is not recorded in .sconsign files"""
pass | [
"def",
"sconsign",
"(",
"self",
")",
":",
"pass"
] | https://github.com/y123456yz/reading-and-annotate-mongodb-3.6/blob/93280293672ca7586dc24af18132aa61e4ed7fcf/mongo/src/third_party/scons-2.5.0/scons-local-2.5.0/SCons/Node/Alias.py#L136-L138 | ||
baidu-research/tensorflow-allreduce | 66d5b855e90b0949e9fa5cca5599fd729a70e874 | tensorflow/python/platform/tf_logging.py | python | _get_thread_id | () | return thread_id & _THREAD_ID_MASK | Get id of current thread, suitable for logging as an unsigned quantity. | Get id of current thread, suitable for logging as an unsigned quantity. | [
"Get",
"id",
"of",
"current",
"thread",
"suitable",
"for",
"logging",
"as",
"an",
"unsigned",
"quantity",
"."
] | def _get_thread_id():
"""Get id of current thread, suitable for logging as an unsigned quantity."""
# pylint: disable=protected-access
thread_id = six.moves._thread.get_ident()
# pylint:enable=protected-access
return thread_id & _THREAD_ID_MASK | [
"def",
"_get_thread_id",
"(",
")",
":",
"# pylint: disable=protected-access",
"thread_id",
"=",
"six",
".",
"moves",
".",
"_thread",
".",
"get_ident",
"(",
")",
"# pylint:enable=protected-access",
"return",
"thread_id",
"&",
"_THREAD_ID_MASK"
] | https://github.com/baidu-research/tensorflow-allreduce/blob/66d5b855e90b0949e9fa5cca5599fd729a70e874/tensorflow/python/platform/tf_logging.py#L236-L241 | |
y123456yz/reading-and-annotate-mongodb-3.6 | 93280293672ca7586dc24af18132aa61e4ed7fcf | mongo/buildscripts/resmokelib/logging/loggers.py | python | BaseLogger.__init__ | (self, name, logging_config=None, build_logger_server=None, parent=None) | Initialize a BaseLogger.
:param name: the logger name.
:param logging_config: the logging configuration.
:param build_logger_server: the build logger server (e.g. logkeeper).
:param parent: the parent logger. | Initialize a BaseLogger. | [
"Initialize",
"a",
"BaseLogger",
"."
] | def __init__(self, name, logging_config=None, build_logger_server=None, parent=None):
"""Initialize a BaseLogger.
:param name: the logger name.
:param logging_config: the logging configuration.
:param build_logger_server: the build logger server (e.g. logkeeper).
:param parent: ... | [
"def",
"__init__",
"(",
"self",
",",
"name",
",",
"logging_config",
"=",
"None",
",",
"build_logger_server",
"=",
"None",
",",
"parent",
"=",
"None",
")",
":",
"logging",
".",
"Logger",
".",
"__init__",
"(",
"self",
",",
"name",
",",
"level",
"=",
"log... | https://github.com/y123456yz/reading-and-annotate-mongodb-3.6/blob/93280293672ca7586dc24af18132aa61e4ed7fcf/mongo/buildscripts/resmokelib/logging/loggers.py#L53-L66 | ||
catboost/catboost | 167f64f237114a4d10b2b4ee42adb4569137debe | contrib/python/scikit-learn/py3/sklearn/covariance/_shrunk_covariance.py | python | shrunk_covariance | (emp_cov, shrinkage=0.1) | return shrunk_cov | Calculates a covariance matrix shrunk on the diagonal
Read more in the :ref:`User Guide <shrunk_covariance>`.
Parameters
----------
emp_cov : array-like, shape (n_features, n_features)
Covariance matrix to be shrunk
shrinkage : float, 0 <= shrinkage <= 1
Coefficient in the convex ... | Calculates a covariance matrix shrunk on the diagonal | [
"Calculates",
"a",
"covariance",
"matrix",
"shrunk",
"on",
"the",
"diagonal"
] | def shrunk_covariance(emp_cov, shrinkage=0.1):
"""Calculates a covariance matrix shrunk on the diagonal
Read more in the :ref:`User Guide <shrunk_covariance>`.
Parameters
----------
emp_cov : array-like, shape (n_features, n_features)
Covariance matrix to be shrunk
shrinkage : float, ... | [
"def",
"shrunk_covariance",
"(",
"emp_cov",
",",
"shrinkage",
"=",
"0.1",
")",
":",
"emp_cov",
"=",
"check_array",
"(",
"emp_cov",
")",
"n_features",
"=",
"emp_cov",
".",
"shape",
"[",
"0",
"]",
"mu",
"=",
"np",
".",
"trace",
"(",
"emp_cov",
")",
"/",
... | https://github.com/catboost/catboost/blob/167f64f237114a4d10b2b4ee42adb4569137debe/contrib/python/scikit-learn/py3/sklearn/covariance/_shrunk_covariance.py#L25-L60 | |
RoboJackets/robocup-software | bce13ce53ddb2ecb9696266d980722c34617dc15 | rj_gameplay/stp/role/constraint.py | python | has_ball | () | return constraint_fn | Creates a constraint function that returns true if the current robot has the
ball.
:return: Constraint function for current robot having the ball. | Creates a constraint function that returns true if the current robot has the
ball.
:return: Constraint function for current robot having the ball. | [
"Creates",
"a",
"constraint",
"function",
"that",
"returns",
"true",
"if",
"the",
"current",
"robot",
"has",
"the",
"ball",
".",
":",
"return",
":",
"Constraint",
"function",
"for",
"current",
"robot",
"having",
"the",
"ball",
"."
] | def has_ball() -> role.ConstraintFn:
"""Creates a constraint function that returns true if the current robot has the
ball.
:return: Constraint function for current robot having the ball.
"""
def constraint_fn(
robot: rc.Robot,
prev_result: Optional[role.RoleResult],
world_st... | [
"def",
"has_ball",
"(",
")",
"->",
"role",
".",
"ConstraintFn",
":",
"def",
"constraint_fn",
"(",
"robot",
":",
"rc",
".",
"Robot",
",",
"prev_result",
":",
"Optional",
"[",
"role",
".",
"RoleResult",
"]",
",",
"world_state",
":",
"rc",
".",
"WorldState"... | https://github.com/RoboJackets/robocup-software/blob/bce13ce53ddb2ecb9696266d980722c34617dc15/rj_gameplay/stp/role/constraint.py#L10-L23 | |
Xilinx/Vitis-AI | fc74d404563d9951b57245443c73bef389f3657f | demo/DPU-for-RNN/rnnt_asr_vck5000/model_rnnt.py | python | RNNT.predict | (self, y, state=None, add_sos=True) | return g, hid | B - batch size
U - label length
H - Hidden dimension size
L - Number of decoder layers = 2
Args:
y: (B, U)
Returns:
Tuple (g, hid) where:
g: (B, U + 1, H)
hid: (h, c) where h is the final sequence hidden state and c is
... | B - batch size
U - label length
H - Hidden dimension size
L - Number of decoder layers = 2 | [
"B",
"-",
"batch",
"size",
"U",
"-",
"label",
"length",
"H",
"-",
"Hidden",
"dimension",
"size",
"L",
"-",
"Number",
"of",
"decoder",
"layers",
"=",
"2"
] | def predict(self, y, state=None, add_sos=True):
"""
B - batch size
U - label length
H - Hidden dimension size
L - Number of decoder layers = 2
Args:
y: (B, U)
Returns:
Tuple (g, hid) where:
g: (B, U + 1, H)
... | [
"def",
"predict",
"(",
"self",
",",
"y",
",",
"state",
"=",
"None",
",",
"add_sos",
"=",
"True",
")",
":",
"if",
"isinstance",
"(",
"y",
",",
"torch",
".",
"Tensor",
")",
":",
"y",
"=",
"self",
".",
"prediction",
"[",
"\"embed\"",
"]",
"(",
"y",
... | https://github.com/Xilinx/Vitis-AI/blob/fc74d404563d9951b57245443c73bef389f3657f/demo/DPU-for-RNN/rnnt_asr_vck5000/model_rnnt.py#L219-L271 | |
baidu-research/tensorflow-allreduce | 66d5b855e90b0949e9fa5cca5599fd729a70e874 | tensorflow/python/ops/resource_variable_ops.py | python | ResourceVariable.value | (self) | A cached operation which reads the value of this variable. | A cached operation which reads the value of this variable. | [
"A",
"cached",
"operation",
"which",
"reads",
"the",
"value",
"of",
"this",
"variable",
"."
] | def value(self):
"""A cached operation which reads the value of this variable."""
if self._cached_value is not None:
return self._cached_value
with ops.colocate_with(None, ignore_existing=True):
with ops.device(self._handle.device):
return gen_resource_variable_ops.read_variable_op(
... | [
"def",
"value",
"(",
"self",
")",
":",
"if",
"self",
".",
"_cached_value",
"is",
"not",
"None",
":",
"return",
"self",
".",
"_cached_value",
"with",
"ops",
".",
"colocate_with",
"(",
"None",
",",
"ignore_existing",
"=",
"True",
")",
":",
"with",
"ops",
... | https://github.com/baidu-research/tensorflow-allreduce/blob/66d5b855e90b0949e9fa5cca5599fd729a70e874/tensorflow/python/ops/resource_variable_ops.py#L294-L301 | ||
wxWidgets/wxPython-Classic | 19571e1ae65f1ac445f5491474121998c97a1bf0 | src/osx_carbon/_core.py | python | EvtHandler.Disconnect | (*args, **kwargs) | return _core_.EvtHandler_Disconnect(*args, **kwargs) | Disconnect(self, int id, int lastId=-1, EventType eventType=wxEVT_NULL,
PyObject func=None) -> bool | Disconnect(self, int id, int lastId=-1, EventType eventType=wxEVT_NULL,
PyObject func=None) -> bool | [
"Disconnect",
"(",
"self",
"int",
"id",
"int",
"lastId",
"=",
"-",
"1",
"EventType",
"eventType",
"=",
"wxEVT_NULL",
"PyObject",
"func",
"=",
"None",
")",
"-",
">",
"bool"
] | def Disconnect(*args, **kwargs):
"""
Disconnect(self, int id, int lastId=-1, EventType eventType=wxEVT_NULL,
PyObject func=None) -> bool
"""
return _core_.EvtHandler_Disconnect(*args, **kwargs) | [
"def",
"Disconnect",
"(",
"*",
"args",
",",
"*",
"*",
"kwargs",
")",
":",
"return",
"_core_",
".",
"EvtHandler_Disconnect",
"(",
"*",
"args",
",",
"*",
"*",
"kwargs",
")"
] | https://github.com/wxWidgets/wxPython-Classic/blob/19571e1ae65f1ac445f5491474121998c97a1bf0/src/osx_carbon/_core.py#L4184-L4189 | |
miyosuda/TensorFlowAndroidMNIST | 7b5a4603d2780a8a2834575706e9001977524007 | jni-build/jni/include/tensorflow/python/framework/common_shapes.py | python | bias_add_grad_shape | (op) | return [output_shape] | Shape function for a BiasAddGrad op. | Shape function for a BiasAddGrad op. | [
"Shape",
"function",
"for",
"a",
"BiasAddGrad",
"op",
"."
] | def bias_add_grad_shape(op):
"""Shape function for a BiasAddGrad op."""
input_shape = op.inputs[0].get_shape().with_rank_at_least(2)
try:
data_format = op.get_attr("data_format")
except ValueError:
data_format = None
if data_format == b"NCHW":
output_shape = input_shape[-3]
else:
output_sha... | [
"def",
"bias_add_grad_shape",
"(",
"op",
")",
":",
"input_shape",
"=",
"op",
".",
"inputs",
"[",
"0",
"]",
".",
"get_shape",
"(",
")",
".",
"with_rank_at_least",
"(",
"2",
")",
"try",
":",
"data_format",
"=",
"op",
".",
"get_attr",
"(",
"\"data_format\""... | https://github.com/miyosuda/TensorFlowAndroidMNIST/blob/7b5a4603d2780a8a2834575706e9001977524007/jni-build/jni/include/tensorflow/python/framework/common_shapes.py#L121-L134 | |
yuxng/PoseCNN | 9f3dd7b7bce21dcafc05e8f18ccc90da3caabd04 | lib/datasets/ycb.py | python | ycb.image_path_from_index | (self, index) | return image_path | Construct an image path from the image's "index" identifier. | Construct an image path from the image's "index" identifier. | [
"Construct",
"an",
"image",
"path",
"from",
"the",
"image",
"s",
"index",
"identifier",
"."
] | def image_path_from_index(self, index):
"""
Construct an image path from the image's "index" identifier.
"""
image_path = os.path.join(self._data_path, index + self._image_ext)
assert os.path.exists(image_path), \
'Path does not exist: {}'.format(image_path)
... | [
"def",
"image_path_from_index",
"(",
"self",
",",
"index",
")",
":",
"image_path",
"=",
"os",
".",
"path",
".",
"join",
"(",
"self",
".",
"_data_path",
",",
"index",
"+",
"self",
".",
"_image_ext",
")",
"assert",
"os",
".",
"path",
".",
"exists",
"(",
... | https://github.com/yuxng/PoseCNN/blob/9f3dd7b7bce21dcafc05e8f18ccc90da3caabd04/lib/datasets/ycb.py#L54-L62 | |
naver/sling | 5671cd445a2caae0b4dd0332299e4cfede05062c | webkit/Tools/Scripts/webkitpy/thirdparty/mod_pywebsocket/util.py | python | prepend_message_to_exception | (message, exc) | return | Prepend message to the exception. | Prepend message to the exception. | [
"Prepend",
"message",
"to",
"the",
"exception",
"."
] | def prepend_message_to_exception(message, exc):
"""Prepend message to the exception."""
exc.args = (message + str(exc),)
return | [
"def",
"prepend_message_to_exception",
"(",
"message",
",",
"exc",
")",
":",
"exc",
".",
"args",
"=",
"(",
"message",
"+",
"str",
"(",
"exc",
")",
",",
")",
"return"
] | https://github.com/naver/sling/blob/5671cd445a2caae0b4dd0332299e4cfede05062c/webkit/Tools/Scripts/webkitpy/thirdparty/mod_pywebsocket/util.py#L78-L82 | |
google/syzygy | 8164b24ebde9c5649c9a09e88a7fc0b0fcbd1bc5 | syzygy/py/etw_db/etw_db/process.py | python | ProcessThreadDatabase.__init__ | (self, no_pruning=False) | Initializes a new database.
Args:
no_pruning: if true, process and thread information is maintained past
process/thread end events. | Initializes a new database. | [
"Initializes",
"a",
"new",
"database",
"."
] | def __init__(self, no_pruning=False):
"""Initializes a new database.
Args:
no_pruning: if true, process and thread information is maintained past
process/thread end events.
"""
EventConsumer.__init__(self)
self._no_pruning = no_pruning
# Processes by id maps from process ID to c... | [
"def",
"__init__",
"(",
"self",
",",
"no_pruning",
"=",
"False",
")",
":",
"EventConsumer",
".",
"__init__",
"(",
"self",
")",
"self",
".",
"_no_pruning",
"=",
"no_pruning",
"# Processes by id maps from process ID to command line.",
"self",
".",
"_processes_by_id",
... | https://github.com/google/syzygy/blob/8164b24ebde9c5649c9a09e88a7fc0b0fcbd1bc5/syzygy/py/etw_db/etw_db/process.py#L44-L56 | ||
wlanjie/AndroidFFmpeg | 7baf9122f4b8e1c74e7baf4be5c422c7a5ba5aaf | tools/fdk-aac-build/x86/toolchain/lib/python2.7/logging/handlers.py | python | SMTPHandler.getSubject | (self, record) | return self.subject | Determine the subject for the email.
If you want to specify a subject line which is record-dependent,
override this method. | Determine the subject for the email. | [
"Determine",
"the",
"subject",
"for",
"the",
"email",
"."
] | def getSubject(self, record):
"""
Determine the subject for the email.
If you want to specify a subject line which is record-dependent,
override this method.
"""
return self.subject | [
"def",
"getSubject",
"(",
"self",
",",
"record",
")",
":",
"return",
"self",
".",
"subject"
] | https://github.com/wlanjie/AndroidFFmpeg/blob/7baf9122f4b8e1c74e7baf4be5c422c7a5ba5aaf/tools/fdk-aac-build/x86/toolchain/lib/python2.7/logging/handlers.py#L907-L914 | |
aws/lumberyard | f85344403c1c2e77ec8c75deb2c116e97b713217 | dev/Tools/Python/3.7.10/linux_x64/lib/python3.7/site-packages/pip/_internal/index/package_finder.py | python | CandidatePreferences.__init__ | (
self,
prefer_binary=False, # type: bool
allow_all_prereleases=False, # type: bool
) | :param allow_all_prereleases: Whether to allow all pre-releases. | [] | def __init__(
self,
prefer_binary=False, # type: bool
allow_all_prereleases=False, # type: bool
):
# type: (...) -> None
"""
:param allow_all_prereleases: Whether to allow all pre-releases.
"""
self.allow_all_prereleases = allow_all_prerelea... | [
"def",
"__init__",
"(",
"self",
",",
"prefer_binary",
"=",
"False",
",",
"# type: bool",
"allow_all_prereleases",
"=",
"False",
",",
"# type: bool",
")",
":",
"# type: (...) -> None",
"self",
".",
"allow_all_prereleases",
"=",
"allow_all_prereleases",
"self",
".",
"... | https://github.com/aws/lumberyard/blob/f85344403c1c2e77ec8c75deb2c116e97b713217/dev/Tools/Python/3.7.10/linux_x64/lib/python3.7/site-packages/pip/_internal/index/package_finder.py#L641-L661 | |||
baidu-research/tensorflow-allreduce | 66d5b855e90b0949e9fa5cca5599fd729a70e874 | tensorflow/python/ops/distributions/transformed_distribution.py | python | _logical_not | (x) | return constant_op.constant(np.logical_not(x_)) | Convenience function which attempts to statically apply `logical_not`. | Convenience function which attempts to statically apply `logical_not`. | [
"Convenience",
"function",
"which",
"attempts",
"to",
"statically",
"apply",
"logical_not",
"."
] | def _logical_not(x):
"""Convenience function which attempts to statically apply `logical_not`."""
x_ = _static_value(x)
if x_ is None:
return math_ops.logical_not(x)
return constant_op.constant(np.logical_not(x_)) | [
"def",
"_logical_not",
"(",
"x",
")",
":",
"x_",
"=",
"_static_value",
"(",
"x",
")",
"if",
"x_",
"is",
"None",
":",
"return",
"math_ops",
".",
"logical_not",
"(",
"x",
")",
"return",
"constant_op",
".",
"constant",
"(",
"np",
".",
"logical_not",
"(",
... | https://github.com/baidu-research/tensorflow-allreduce/blob/66d5b855e90b0949e9fa5cca5599fd729a70e874/tensorflow/python/ops/distributions/transformed_distribution.py#L73-L78 | |
Samsung/veles | 95ed733c2e49bc011ad98ccf2416ecec23fbf352 | veles/external/pydot.py | python | Graph.set_simplify | (self, simplify) | Set whether to simplify or not.
If True it will avoid displaying equal edges, i.e.
only one edge between two nodes. removing the
duplicated ones. | Set whether to simplify or not.
If True it will avoid displaying equal edges, i.e.
only one edge between two nodes. removing the
duplicated ones. | [
"Set",
"whether",
"to",
"simplify",
"or",
"not",
".",
"If",
"True",
"it",
"will",
"avoid",
"displaying",
"equal",
"edges",
"i",
".",
"e",
".",
"only",
"one",
"edge",
"between",
"two",
"nodes",
".",
"removing",
"the",
"duplicated",
"ones",
"."
] | def set_simplify(self, simplify):
"""Set whether to simplify or not.
If True it will avoid displaying equal edges, i.e.
only one edge between two nodes. removing the
duplicated ones.
"""
self.obj_dict['simplify'] = simplify | [
"def",
"set_simplify",
"(",
"self",
",",
"simplify",
")",
":",
"self",
".",
"obj_dict",
"[",
"'simplify'",
"]",
"=",
"simplify"
] | https://github.com/Samsung/veles/blob/95ed733c2e49bc011ad98ccf2416ecec23fbf352/veles/external/pydot.py#L1152-L1160 | ||
scribusproject/scribus | 41ec7c775a060912cf251682a8b1437f753f80f4 | codegen/cheetah/Cheetah/Template.py | python | Template.webInput | (self, names, namesMulti=(), default='', src='f',
defaultInt=0, defaultFloat=0.00, badInt=0, badFloat=0.00, debug=False) | return dic | Method for importing web transaction variables in bulk.
This works for GET/POST fields both in Webware servlets and in CGI
scripts, and for cookies and session variables in Webware servlets. If
you try to read a cookie or session variable in a CGI script, you'll get
a RuntimeError. 'I... | Method for importing web transaction variables in bulk. | [
"Method",
"for",
"importing",
"web",
"transaction",
"variables",
"in",
"bulk",
"."
] | def webInput(self, names, namesMulti=(), default='', src='f',
defaultInt=0, defaultFloat=0.00, badInt=0, badFloat=0.00, debug=False):
"""Method for importing web transaction variables in bulk.
This works for GET/POST fields both in Webware servlets and in CGI
scripts, and for cookies an... | [
"def",
"webInput",
"(",
"self",
",",
"names",
",",
"namesMulti",
"=",
"(",
")",
",",
"default",
"=",
"''",
",",
"src",
"=",
"'f'",
",",
"defaultInt",
"=",
"0",
",",
"defaultFloat",
"=",
"0.00",
",",
"badInt",
"=",
"0",
",",
"badFloat",
"=",
"0.00",... | https://github.com/scribusproject/scribus/blob/41ec7c775a060912cf251682a8b1437f753f80f4/codegen/cheetah/Cheetah/Template.py#L1632-L1859 | |
baidu-research/tensorflow-allreduce | 66d5b855e90b0949e9fa5cca5599fd729a70e874 | tensorflow/contrib/specs/python/specs_lib.py | python | check_keywords | (spec) | Check for common Python keywords in spec.
This function discourages the use of complex constructs
in TensorFlow specs; it doesn't completely prohibit them
(if necessary, we could check the AST).
Args:
spec: spec string
Raises:
ValueError: raised if spec contains a prohibited keyword. | Check for common Python keywords in spec. | [
"Check",
"for",
"common",
"Python",
"keywords",
"in",
"spec",
"."
] | def check_keywords(spec):
"""Check for common Python keywords in spec.
This function discourages the use of complex constructs
in TensorFlow specs; it doesn't completely prohibit them
(if necessary, we could check the AST).
Args:
spec: spec string
Raises:
ValueError: raised if spec contains a... | [
"def",
"check_keywords",
"(",
"spec",
")",
":",
"spec",
"=",
"re",
".",
"sub",
"(",
"QUOTED",
",",
"\"\"",
",",
"spec",
")",
"match",
"=",
"re",
".",
"search",
"(",
"KEYWORDS",
",",
"spec",
")",
"if",
"match",
":",
"raise",
"ValueError",
"(",
"\"ke... | https://github.com/baidu-research/tensorflow-allreduce/blob/66d5b855e90b0949e9fa5cca5599fd729a70e874/tensorflow/contrib/specs/python/specs_lib.py#L37-L53 | ||
ApolloAuto/apollo-platform | 86d9dc6743b496ead18d597748ebabd34a513289 | ros/ros_comm/roslaunch/src/roslaunch/server.py | python | ROSLaunchChildHandler.shutdown | (self) | return 1, "success", 1 | @return: code, msg, ignore
@rtype: int, str, int | [] | def shutdown(self):
"""
@return: code, msg, ignore
@rtype: int, str, int
"""
self._shutdown("external call")
return 1, "success", 1 | [
"def",
"shutdown",
"(",
"self",
")",
":",
"self",
".",
"_shutdown",
"(",
"\"external call\"",
")",
"return",
"1",
",",
"\"success\"",
",",
"1"
] | https://github.com/ApolloAuto/apollo-platform/blob/86d9dc6743b496ead18d597748ebabd34a513289/ros/ros_comm/roslaunch/src/roslaunch/server.py#L279-L285 | ||
tensorflow/deepmath | b5b721f54de1d5d6a02d78f5da5995237f9995f9 | deepmath/deephol/utilities/normalization_lib.py | python | extend_context | (context: List[Callable[[Text], Text]], old_name: Text,
new_name: Text) | return new_context | Extends the stack of variable renamings. | Extends the stack of variable renamings. | [
"Extends",
"the",
"stack",
"of",
"variable",
"renamings",
"."
] | def extend_context(context: List[Callable[[Text], Text]], old_name: Text,
new_name: Text):
"""Extends the stack of variable renamings."""
new_context = list(context)
new_context.append(lambda s: new_name if s == old_name else s)
return new_context | [
"def",
"extend_context",
"(",
"context",
":",
"List",
"[",
"Callable",
"[",
"[",
"Text",
"]",
",",
"Text",
"]",
"]",
",",
"old_name",
":",
"Text",
",",
"new_name",
":",
"Text",
")",
":",
"new_context",
"=",
"list",
"(",
"context",
")",
"new_context",
... | https://github.com/tensorflow/deepmath/blob/b5b721f54de1d5d6a02d78f5da5995237f9995f9/deepmath/deephol/utilities/normalization_lib.py#L28-L33 | |
FreeCAD/FreeCAD | ba42231b9c6889b89e064d6d563448ed81e376ec | src/Mod/Draft/draftutils/init_tools.py | python | get_draft_utility_commands_menu | () | return ["Draft_SetStyle",
"Draft_ApplyStyle",
"Separator",
"Draft_Layer",
"Draft_AddNamedGroup",
"Draft_AddToGroup",
"Draft_SelectGroup",
"Draft_ToggleConstructionMode",
"Draft_AddConstruction",
"Separator",
... | Return the utility commands list for the menu. | Return the utility commands list for the menu. | [
"Return",
"the",
"utility",
"commands",
"list",
"for",
"the",
"menu",
"."
] | def get_draft_utility_commands_menu():
"""Return the utility commands list for the menu."""
return ["Draft_SetStyle",
"Draft_ApplyStyle",
"Separator",
"Draft_Layer",
"Draft_AddNamedGroup",
"Draft_AddToGroup",
"Draft_SelectGroup",
... | [
"def",
"get_draft_utility_commands_menu",
"(",
")",
":",
"return",
"[",
"\"Draft_SetStyle\"",
",",
"\"Draft_ApplyStyle\"",
",",
"\"Separator\"",
",",
"\"Draft_Layer\"",
",",
"\"Draft_AddNamedGroup\"",
",",
"\"Draft_AddToGroup\"",
",",
"\"Draft_SelectGroup\"",
",",
"\"Draft_... | https://github.com/FreeCAD/FreeCAD/blob/ba42231b9c6889b89e064d6d563448ed81e376ec/src/Mod/Draft/draftutils/init_tools.py#L109-L128 | |
wlanjie/AndroidFFmpeg | 7baf9122f4b8e1c74e7baf4be5c422c7a5ba5aaf | tools/fdk-aac-build/x86/toolchain/lib/python2.7/logging/__init__.py | python | FileHandler._open | (self) | return stream | Open the current base file with the (original) mode and encoding.
Return the resulting stream. | Open the current base file with the (original) mode and encoding.
Return the resulting stream. | [
"Open",
"the",
"current",
"base",
"file",
"with",
"the",
"(",
"original",
")",
"mode",
"and",
"encoding",
".",
"Return",
"the",
"resulting",
"stream",
"."
] | def _open(self):
"""
Open the current base file with the (original) mode and encoding.
Return the resulting stream.
"""
if self.encoding is None:
stream = open(self.baseFilename, self.mode)
else:
stream = codecs.open(self.baseFilename, self.mode, s... | [
"def",
"_open",
"(",
"self",
")",
":",
"if",
"self",
".",
"encoding",
"is",
"None",
":",
"stream",
"=",
"open",
"(",
"self",
".",
"baseFilename",
",",
"self",
".",
"mode",
")",
"else",
":",
"stream",
"=",
"codecs",
".",
"open",
"(",
"self",
".",
... | https://github.com/wlanjie/AndroidFFmpeg/blob/7baf9122f4b8e1c74e7baf4be5c422c7a5ba5aaf/tools/fdk-aac-build/x86/toolchain/lib/python2.7/logging/__init__.py#L919-L928 | |
google-ar/WebARonTango | e86965d2cbc652156b480e0fcf77c716745578cd | chromium/src/gpu/command_buffer/build_gles2_cmd_buffer.py | python | Function.WriteGLES2Header | (self, f) | Writes the GLES2 Implemention unit test. | Writes the GLES2 Implemention unit test. | [
"Writes",
"the",
"GLES2",
"Implemention",
"unit",
"test",
"."
] | def WriteGLES2Header(self, f):
"""Writes the GLES2 Implemention unit test."""
self.type_handler.WriteGLES2Header(self, f) | [
"def",
"WriteGLES2Header",
"(",
"self",
",",
"f",
")",
":",
"self",
".",
"type_handler",
".",
"WriteGLES2Header",
"(",
"self",
",",
"f",
")"
] | https://github.com/google-ar/WebARonTango/blob/e86965d2cbc652156b480e0fcf77c716745578cd/chromium/src/gpu/command_buffer/build_gles2_cmd_buffer.py#L9659-L9661 | ||
baidu-research/tensorflow-allreduce | 66d5b855e90b0949e9fa5cca5599fd729a70e874 | tensorflow/contrib/factorization/examples/mnist.py | python | placeholder_inputs | () | return images_placeholder, labels_placeholder | Generate placeholder variables to represent the input tensors.
Returns:
images_placeholder: Images placeholder.
labels_placeholder: Labels placeholder. | Generate placeholder variables to represent the input tensors. | [
"Generate",
"placeholder",
"variables",
"to",
"represent",
"the",
"input",
"tensors",
"."
] | def placeholder_inputs():
"""Generate placeholder variables to represent the input tensors.
Returns:
images_placeholder: Images placeholder.
labels_placeholder: Labels placeholder.
"""
images_placeholder = tf.placeholder(tf.float32, shape=(None,
... | [
"def",
"placeholder_inputs",
"(",
")",
":",
"images_placeholder",
"=",
"tf",
".",
"placeholder",
"(",
"tf",
".",
"float32",
",",
"shape",
"=",
"(",
"None",
",",
"mnist",
".",
"IMAGE_PIXELS",
")",
")",
"labels_placeholder",
"=",
"tf",
".",
"placeholder",
"(... | https://github.com/baidu-research/tensorflow-allreduce/blob/66d5b855e90b0949e9fa5cca5599fd729a70e874/tensorflow/contrib/factorization/examples/mnist.py#L52-L62 | |
aws/lumberyard | f85344403c1c2e77ec8c75deb2c116e97b713217 | dev/Tools/Python/3.7.10/windows/Lib/site-packages/pip/_vendor/six.py | python | _add_doc | (func, doc) | Add documentation to a function. | Add documentation to a function. | [
"Add",
"documentation",
"to",
"a",
"function",
"."
] | def _add_doc(func, doc):
"""Add documentation to a function."""
func.__doc__ = doc | [
"def",
"_add_doc",
"(",
"func",
",",
"doc",
")",
":",
"func",
".",
"__doc__",
"=",
"doc"
] | https://github.com/aws/lumberyard/blob/f85344403c1c2e77ec8c75deb2c116e97b713217/dev/Tools/Python/3.7.10/windows/Lib/site-packages/pip/_vendor/six.py#L75-L77 | ||
kevinlin311tw/cvpr16-deepbit | c60fb3233d7d534cfcee9d3ed47d77af437ee32a | scripts/cpp_lint.py | python | _NestingState.Update | (self, filename, clean_lines, linenum, error) | Update nesting state with current line.
Args:
filename: The name of the current file.
clean_lines: A CleansedLines instance containing the file.
linenum: The number of the line to check.
error: The function to call with any errors found. | Update nesting state with current line. | [
"Update",
"nesting",
"state",
"with",
"current",
"line",
"."
] | def Update(self, filename, clean_lines, linenum, error):
"""Update nesting state with current line.
Args:
filename: The name of the current file.
clean_lines: A CleansedLines instance containing the file.
linenum: The number of the line to check.
error: The function to call with any err... | [
"def",
"Update",
"(",
"self",
",",
"filename",
",",
"clean_lines",
",",
"linenum",
",",
"error",
")",
":",
"line",
"=",
"clean_lines",
".",
"elided",
"[",
"linenum",
"]",
"# Update pp_stack first",
"self",
".",
"UpdatePreprocessor",
"(",
"line",
")",
"# Coun... | https://github.com/kevinlin311tw/cvpr16-deepbit/blob/c60fb3233d7d534cfcee9d3ed47d77af437ee32a/scripts/cpp_lint.py#L2004-L2158 | ||
domino-team/openwrt-cc | 8b181297c34d14d3ca521cc9f31430d561dbc688 | package/gli-pub/openwrt-node-packages-master/node/node-v6.9.1/tools/gyp/tools/pretty_vcproj.py | python | FlattenFilter | (node) | return node_list | Returns a list of all the node and sub nodes. | Returns a list of all the node and sub nodes. | [
"Returns",
"a",
"list",
"of",
"all",
"the",
"node",
"and",
"sub",
"nodes",
"."
] | def FlattenFilter(node):
"""Returns a list of all the node and sub nodes."""
node_list = []
if (node.attributes and
node.getAttribute('Name') == '_excluded_files'):
# We don't add the "_excluded_files" filter.
return []
for current in node.childNodes:
if current.nodeName == 'Filter':
... | [
"def",
"FlattenFilter",
"(",
"node",
")",
":",
"node_list",
"=",
"[",
"]",
"if",
"(",
"node",
".",
"attributes",
"and",
"node",
".",
"getAttribute",
"(",
"'Name'",
")",
"==",
"'_excluded_files'",
")",
":",
"# We don't add the \"_excluded_files\" filter.",
"retur... | https://github.com/domino-team/openwrt-cc/blob/8b181297c34d14d3ca521cc9f31430d561dbc688/package/gli-pub/openwrt-node-packages-master/node/node-v6.9.1/tools/gyp/tools/pretty_vcproj.py#L95-L110 | |
DaFuCoding/MTCNN_Caffe | 09c30c3ff391bd9cb6b249c1910afaf147767ab3 | scripts/cpp_lint.py | python | PrintCategories | () | Prints a list of all the error-categories used by error messages.
These are the categories used to filter messages via --filter. | Prints a list of all the error-categories used by error messages. | [
"Prints",
"a",
"list",
"of",
"all",
"the",
"error",
"-",
"categories",
"used",
"by",
"error",
"messages",
"."
] | def PrintCategories():
"""Prints a list of all the error-categories used by error messages.
These are the categories used to filter messages via --filter.
"""
sys.stderr.write(''.join(' %s\n' % cat for cat in _ERROR_CATEGORIES))
sys.exit(0) | [
"def",
"PrintCategories",
"(",
")",
":",
"sys",
".",
"stderr",
".",
"write",
"(",
"''",
".",
"join",
"(",
"' %s\\n'",
"%",
"cat",
"for",
"cat",
"in",
"_ERROR_CATEGORIES",
")",
")",
"sys",
".",
"exit",
"(",
"0",
")"
] | https://github.com/DaFuCoding/MTCNN_Caffe/blob/09c30c3ff391bd9cb6b249c1910afaf147767ab3/scripts/cpp_lint.py#L4770-L4776 | ||
tomahawk-player/tomahawk-resolvers | 7f827bbe410ccfdb0446f7d6a91acc2199c9cc8d | archive/spotify/breakpad/third_party/protobuf/protobuf/python/mox.py | python | In.equals | (self, rhs) | return self._key in rhs | Check to see whether key is in rhs.
Args:
rhs: dict
Returns:
bool | Check to see whether key is in rhs. | [
"Check",
"to",
"see",
"whether",
"key",
"is",
"in",
"rhs",
"."
] | def equals(self, rhs):
"""Check to see whether key is in rhs.
Args:
rhs: dict
Returns:
bool
"""
return self._key in rhs | [
"def",
"equals",
"(",
"self",
",",
"rhs",
")",
":",
"return",
"self",
".",
"_key",
"in",
"rhs"
] | https://github.com/tomahawk-player/tomahawk-resolvers/blob/7f827bbe410ccfdb0446f7d6a91acc2199c9cc8d/archive/spotify/breakpad/third_party/protobuf/protobuf/python/mox.py#L955-L965 | |
esphome/esphome | 40e06c9819f17409615d4f4eec5cfe4dc9a3776d | esphome/cpp_generator.py | python | MockObj.template | (self, *args: SafeExpType) | return MockObj(f"{self.base}{args}") | Apply template parameters to this object. | Apply template parameters to this object. | [
"Apply",
"template",
"parameters",
"to",
"this",
"object",
"."
] | def template(self, *args: SafeExpType) -> "MockObj":
"""Apply template parameters to this object."""
if len(args) != 1 or not isinstance(args[0], TemplateArguments):
args = TemplateArguments(*args)
else:
args = args[0]
return MockObj(f"{self.base}{args}") | [
"def",
"template",
"(",
"self",
",",
"*",
"args",
":",
"SafeExpType",
")",
"->",
"\"MockObj\"",
":",
"if",
"len",
"(",
"args",
")",
"!=",
"1",
"or",
"not",
"isinstance",
"(",
"args",
"[",
"0",
"]",
",",
"TemplateArguments",
")",
":",
"args",
"=",
"... | https://github.com/esphome/esphome/blob/40e06c9819f17409615d4f4eec5cfe4dc9a3776d/esphome/cpp_generator.py#L745-L751 | |
CRYTEK/CRYENGINE | 232227c59a220cbbd311576f0fbeba7bb53b2a8c | Code/Tools/waf-1.7.13/waflib/Configure.py | python | conf | (f) | return f | Decorator: attach new configuration functions to :py:class:`waflib.Build.BuildContext` and
:py:class:`waflib.Configure.ConfigurationContext`. The methods bound will accept a parameter
named 'mandatory' to disable the configuration errors::
def configure(conf):
conf.find_program('abc', mandatory=False)
:param ... | Decorator: attach new configuration functions to :py:class:`waflib.Build.BuildContext` and
:py:class:`waflib.Configure.ConfigurationContext`. The methods bound will accept a parameter
named 'mandatory' to disable the configuration errors:: | [
"Decorator",
":",
"attach",
"new",
"configuration",
"functions",
"to",
":",
"py",
":",
"class",
":",
"waflib",
".",
"Build",
".",
"BuildContext",
"and",
":",
"py",
":",
"class",
":",
"waflib",
".",
"Configure",
".",
"ConfigurationContext",
".",
"The",
"met... | def conf(f):
"""
Decorator: attach new configuration functions to :py:class:`waflib.Build.BuildContext` and
:py:class:`waflib.Configure.ConfigurationContext`. The methods bound will accept a parameter
named 'mandatory' to disable the configuration errors::
def configure(conf):
conf.find_program('abc', mandato... | [
"def",
"conf",
"(",
"f",
")",
":",
"def",
"fun",
"(",
"*",
"k",
",",
"*",
"*",
"kw",
")",
":",
"mandatory",
"=",
"True",
"if",
"'mandatory'",
"in",
"kw",
":",
"mandatory",
"=",
"kw",
"[",
"'mandatory'",
"]",
"del",
"kw",
"[",
"'mandatory'",
"]",
... | https://github.com/CRYTEK/CRYENGINE/blob/232227c59a220cbbd311576f0fbeba7bb53b2a8c/Code/Tools/waf-1.7.13/waflib/Configure.py#L390-L417 | |
catboost/catboost | 167f64f237114a4d10b2b4ee42adb4569137debe | contrib/python/numpy/py3/numpy/core/defchararray.py | python | translate | (a, table, deletechars=None) | For each element in `a`, return a copy of the string where all
characters occurring in the optional argument `deletechars` are
removed, and the remaining characters have been mapped through the
given translation table.
Calls `str.translate` element-wise.
Parameters
----------
a : array-lik... | For each element in `a`, return a copy of the string where all
characters occurring in the optional argument `deletechars` are
removed, and the remaining characters have been mapped through the
given translation table. | [
"For",
"each",
"element",
"in",
"a",
"return",
"a",
"copy",
"of",
"the",
"string",
"where",
"all",
"characters",
"occurring",
"in",
"the",
"optional",
"argument",
"deletechars",
"are",
"removed",
"and",
"the",
"remaining",
"characters",
"have",
"been",
"mapped... | def translate(a, table, deletechars=None):
"""
For each element in `a`, return a copy of the string where all
characters occurring in the optional argument `deletechars` are
removed, and the remaining characters have been mapped through the
given translation table.
Calls `str.translate` element... | [
"def",
"translate",
"(",
"a",
",",
"table",
",",
"deletechars",
"=",
"None",
")",
":",
"a_arr",
"=",
"numpy",
".",
"asarray",
"(",
"a",
")",
"if",
"issubclass",
"(",
"a_arr",
".",
"dtype",
".",
"type",
",",
"unicode_",
")",
":",
"return",
"_vec_strin... | https://github.com/catboost/catboost/blob/167f64f237114a4d10b2b4ee42adb4569137debe/contrib/python/numpy/py3/numpy/core/defchararray.py#L1635-L1668 | ||
wxWidgets/wxPython-Classic | 19571e1ae65f1ac445f5491474121998c97a1bf0 | src/msw/_core.py | python | SettableHeaderColumn.UnsetAsSortKey | (*args, **kwargs) | return _core_.SettableHeaderColumn_UnsetAsSortKey(*args, **kwargs) | UnsetAsSortKey(self) | UnsetAsSortKey(self) | [
"UnsetAsSortKey",
"(",
"self",
")"
] | def UnsetAsSortKey(*args, **kwargs):
"""UnsetAsSortKey(self)"""
return _core_.SettableHeaderColumn_UnsetAsSortKey(*args, **kwargs) | [
"def",
"UnsetAsSortKey",
"(",
"*",
"args",
",",
"*",
"*",
"kwargs",
")",
":",
"return",
"_core_",
".",
"SettableHeaderColumn_UnsetAsSortKey",
"(",
"*",
"args",
",",
"*",
"*",
"kwargs",
")"
] | https://github.com/wxWidgets/wxPython-Classic/blob/19571e1ae65f1ac445f5491474121998c97a1bf0/src/msw/_core.py#L16516-L16518 | |
wxWidgets/wxPython-Classic | 19571e1ae65f1ac445f5491474121998c97a1bf0 | src/gtk/_core.py | python | MenuItem.GetMenu | (*args, **kwargs) | return _core_.MenuItem_GetMenu(*args, **kwargs) | GetMenu(self) -> Menu | GetMenu(self) -> Menu | [
"GetMenu",
"(",
"self",
")",
"-",
">",
"Menu"
] | def GetMenu(*args, **kwargs):
"""GetMenu(self) -> Menu"""
return _core_.MenuItem_GetMenu(*args, **kwargs) | [
"def",
"GetMenu",
"(",
"*",
"args",
",",
"*",
"*",
"kwargs",
")",
":",
"return",
"_core_",
".",
"MenuItem_GetMenu",
"(",
"*",
"args",
",",
"*",
"*",
"kwargs",
")"
] | https://github.com/wxWidgets/wxPython-Classic/blob/19571e1ae65f1ac445f5491474121998c97a1bf0/src/gtk/_core.py#L12439-L12441 | |
catboost/catboost | 167f64f237114a4d10b2b4ee42adb4569137debe | contrib/python/numpy/py3/numpy/polynomial/legendre.py | python | leggrid3d | (x, y, z, c) | return pu._gridnd(legval, c, x, y, z) | Evaluate a 3-D Legendre series on the Cartesian product of x, y, and z.
This function returns the values:
.. math:: p(a,b,c) = \\sum_{i,j,k} c_{i,j,k} * L_i(a) * L_j(b) * L_k(c)
where the points `(a, b, c)` consist of all triples formed by taking
`a` from `x`, `b` from `y`, and `c` from `z`. The resu... | Evaluate a 3-D Legendre series on the Cartesian product of x, y, and z. | [
"Evaluate",
"a",
"3",
"-",
"D",
"Legendre",
"series",
"on",
"the",
"Cartesian",
"product",
"of",
"x",
"y",
"and",
"z",
"."
] | def leggrid3d(x, y, z, c):
"""
Evaluate a 3-D Legendre series on the Cartesian product of x, y, and z.
This function returns the values:
.. math:: p(a,b,c) = \\sum_{i,j,k} c_{i,j,k} * L_i(a) * L_j(b) * L_k(c)
where the points `(a, b, c)` consist of all triples formed by taking
`a` from `x`, `... | [
"def",
"leggrid3d",
"(",
"x",
",",
"y",
",",
"z",
",",
"c",
")",
":",
"return",
"pu",
".",
"_gridnd",
"(",
"legval",
",",
"c",
",",
"x",
",",
"y",
",",
"z",
")"
] | https://github.com/catboost/catboost/blob/167f64f237114a4d10b2b4ee42adb4569137debe/contrib/python/numpy/py3/numpy/polynomial/legendre.py#L1070-L1123 | |
daijifeng001/caffe-rfcn | 543f8f6a4b7c88256ea1445ae951a12d1ad9cffd | python/caffe/net_spec.py | python | assign_proto | (proto, name, val) | Assign a Python object to a protobuf message, based on the Python
type (in recursive fashion). Lists become repeated fields/messages, dicts
become messages, and other types are assigned directly. For convenience,
repeated fields whose values are not lists are converted to single-element
lists; e.g., `my... | Assign a Python object to a protobuf message, based on the Python
type (in recursive fashion). Lists become repeated fields/messages, dicts
become messages, and other types are assigned directly. For convenience,
repeated fields whose values are not lists are converted to single-element
lists; e.g., `my... | [
"Assign",
"a",
"Python",
"object",
"to",
"a",
"protobuf",
"message",
"based",
"on",
"the",
"Python",
"type",
"(",
"in",
"recursive",
"fashion",
")",
".",
"Lists",
"become",
"repeated",
"fields",
"/",
"messages",
"dicts",
"become",
"messages",
"and",
"other",... | def assign_proto(proto, name, val):
"""Assign a Python object to a protobuf message, based on the Python
type (in recursive fashion). Lists become repeated fields/messages, dicts
become messages, and other types are assigned directly. For convenience,
repeated fields whose values are not lists are conve... | [
"def",
"assign_proto",
"(",
"proto",
",",
"name",
",",
"val",
")",
":",
"is_repeated_field",
"=",
"hasattr",
"(",
"getattr",
"(",
"proto",
",",
"name",
")",
",",
"'extend'",
")",
"if",
"is_repeated_field",
"and",
"not",
"isinstance",
"(",
"val",
",",
"li... | https://github.com/daijifeng001/caffe-rfcn/blob/543f8f6a4b7c88256ea1445ae951a12d1ad9cffd/python/caffe/net_spec.py#L56-L79 | ||
jubatus/jubatus | 1251ce551bac980488a6313728e72b3fe0b79a9f | tools/codestyle/cpplint/cpplint.py | python | ProcessLine | (filename, file_extension,
clean_lines, line, include_state, function_state,
class_state, error, extra_check_functions=[]) | Processes a single line in the file.
Args:
filename: Filename of the file that is being processed.
file_extension: The extension (dot not included) of the file.
clean_lines: An array of strings, each representing a line of the file,
with comments stripped.
line: Number of line being ... | Processes a single line in the file. | [
"Processes",
"a",
"single",
"line",
"in",
"the",
"file",
"."
] | def ProcessLine(filename, file_extension,
clean_lines, line, include_state, function_state,
class_state, error, extra_check_functions=[]):
"""Processes a single line in the file.
Args:
filename: Filename of the file that is being processed.
file_extension: The extension (dot... | [
"def",
"ProcessLine",
"(",
"filename",
",",
"file_extension",
",",
"clean_lines",
",",
"line",
",",
"include_state",
",",
"function_state",
",",
"class_state",
",",
"error",
",",
"extra_check_functions",
"=",
"[",
"]",
")",
":",
"raw_lines",
"=",
"clean_lines",
... | https://github.com/jubatus/jubatus/blob/1251ce551bac980488a6313728e72b3fe0b79a9f/tools/codestyle/cpplint/cpplint.py#L3151-L3185 | ||
lukasmonk/lucaschess | 13e2e5cb13b38a720ccf897af649054a64bcb914 | Code/QT/Grid.py | python | Grid.mouseCabecera | (self, numColumna) | Se gestiona este evento, ante la posibilidad de que la ventana quiera controlar,
los doble clicks sobre la cabecera , normalmente para cambiar el orden de la columna,
llamando a la rutina correspondiente si existe (gridDobleClickCabecera) y con el
argumento del objeto columna | Se gestiona este evento, ante la posibilidad de que la ventana quiera controlar,
los doble clicks sobre la cabecera , normalmente para cambiar el orden de la columna,
llamando a la rutina correspondiente si existe (gridDobleClickCabecera) y con el
argumento del objeto columna | [
"Se",
"gestiona",
"este",
"evento",
"ante",
"la",
"posibilidad",
"de",
"que",
"la",
"ventana",
"quiera",
"controlar",
"los",
"doble",
"clicks",
"sobre",
"la",
"cabecera",
"normalmente",
"para",
"cambiar",
"el",
"orden",
"de",
"la",
"columna",
"llamando",
"a",
... | def mouseCabecera(self, numColumna):
"""
Se gestiona este evento, ante la posibilidad de que la ventana quiera controlar,
los doble clicks sobre la cabecera , normalmente para cambiar el orden de la columna,
llamando a la rutina correspondiente si existe (gridDobleClickCabecera) y con el... | [
"def",
"mouseCabecera",
"(",
"self",
",",
"numColumna",
")",
":",
"if",
"hasattr",
"(",
"self",
".",
"wParent",
",",
"\"gridMouseCabecera\"",
")",
":",
"self",
".",
"wParent",
".",
"gridMouseCabecera",
"(",
"self",
",",
"self",
".",
"oColumnasR",
".",
"col... | https://github.com/lukasmonk/lucaschess/blob/13e2e5cb13b38a720ccf897af649054a64bcb914/Code/QT/Grid.py#L381-L389 | ||
thalium/icebox | 99d147d5b9269222225443ce171b4fd46d8985d4 | third_party/retdec-3.2/scripts/type_extractor/type_extractor/io.py | python | load_json_file | (json_file) | Loads the data from the given json file, returns them as dict. | Loads the data from the given json file, returns them as dict. | [
"Loads",
"the",
"data",
"from",
"the",
"given",
"json",
"file",
"returns",
"them",
"as",
"dict",
"."
] | def load_json_file(json_file):
"""Loads the data from the given json file, returns them as dict."""
with open(json_file, 'r') as j_file:
return json.load(j_file) | [
"def",
"load_json_file",
"(",
"json_file",
")",
":",
"with",
"open",
"(",
"json_file",
",",
"'r'",
")",
"as",
"j_file",
":",
"return",
"json",
".",
"load",
"(",
"j_file",
")"
] | https://github.com/thalium/icebox/blob/99d147d5b9269222225443ce171b4fd46d8985d4/third_party/retdec-3.2/scripts/type_extractor/type_extractor/io.py#L22-L25 | ||
cms-sw/cmssw | fd9de012d503d3405420bcbeec0ec879baa57cf2 | Validation/RecoTrack/python/plotting/ntupleDataFormat.py | python | _TrackingParticleMatchAdaptor.bestMatchingTrackingParticleFromFirstHitShareFrac | (self) | return self.bestFromFirstHitSimTrkShareFrac() | Fraction of shared hits with reco hits as denominator for best-matching TrackingParticle starting from the first hit of a track. | Fraction of shared hits with reco hits as denominator for best-matching TrackingParticle starting from the first hit of a track. | [
"Fraction",
"of",
"shared",
"hits",
"with",
"reco",
"hits",
"as",
"denominator",
"for",
"best",
"-",
"matching",
"TrackingParticle",
"starting",
"from",
"the",
"first",
"hit",
"of",
"a",
"track",
"."
] | def bestMatchingTrackingParticleFromFirstHitShareFrac(self):
"""Fraction of shared hits with reco hits as denominator for best-matching TrackingParticle starting from the first hit of a track."""
return self.bestFromFirstHitSimTrkShareFrac() | [
"def",
"bestMatchingTrackingParticleFromFirstHitShareFrac",
"(",
"self",
")",
":",
"return",
"self",
".",
"bestFromFirstHitSimTrkShareFrac",
"(",
")"
] | https://github.com/cms-sw/cmssw/blob/fd9de012d503d3405420bcbeec0ec879baa57cf2/Validation/RecoTrack/python/plotting/ntupleDataFormat.py#L364-L366 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.