nwo stringlengths 5 106 | sha stringlengths 40 40 | path stringlengths 4 174 | language stringclasses 1
value | identifier stringlengths 1 140 | parameters stringlengths 0 87.7k | argument_list stringclasses 1
value | return_statement stringlengths 0 426k | docstring stringlengths 0 64.3k | docstring_summary stringlengths 0 26.3k | docstring_tokens list | function stringlengths 18 4.83M | function_tokens list | url stringlengths 83 304 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
spesmilo/electrum | bdbd59300fbd35b01605e66145458e5f396108e8 | electrum/lnchannel.py | python | AbstractChannel.sweep_address | (self) | return addr | [] | def sweep_address(self) -> str:
# TODO: in case of unilateral close with pending HTLCs, this address will be reused
addr = None
if self.is_static_remotekey_enabled():
our_payment_pubkey = self.config[LOCAL].payment_basepoint.pubkey
addr = make_commitment_output_to_remote_... | [
"def",
"sweep_address",
"(",
"self",
")",
"->",
"str",
":",
"# TODO: in case of unilateral close with pending HTLCs, this address will be reused",
"addr",
"=",
"None",
"if",
"self",
".",
"is_static_remotekey_enabled",
"(",
")",
":",
"our_payment_pubkey",
"=",
"self",
".",... | https://github.com/spesmilo/electrum/blob/bdbd59300fbd35b01605e66145458e5f396108e8/electrum/lnchannel.py#L323-L334 | |||
openhatch/oh-mainline | ce29352a034e1223141dcc2f317030bbc3359a51 | vendor/packages/twisted/twisted/words/protocols/jabber/xmlstream.py | python | StreamManager.addHandler | (self, handler) | Add protocol handler.
When an XML stream has already been established, the handler's
C{connectionInitialized} will be called to get it up to speed. | Add protocol handler. | [
"Add",
"protocol",
"handler",
"."
] | def addHandler(self, handler):
"""
Add protocol handler.
When an XML stream has already been established, the handler's
C{connectionInitialized} will be called to get it up to speed.
"""
XMPPHandlerCollection.addHandler(self, handler)
# get protocol handler up t... | [
"def",
"addHandler",
"(",
"self",
",",
"handler",
")",
":",
"XMPPHandlerCollection",
".",
"addHandler",
"(",
"self",
",",
"handler",
")",
"# get protocol handler up to speed when a connection has already",
"# been established",
"if",
"self",
".",
"xmlstream",
"and",
"se... | https://github.com/openhatch/oh-mainline/blob/ce29352a034e1223141dcc2f317030bbc3359a51/vendor/packages/twisted/twisted/words/protocols/jabber/xmlstream.py#L1020-L1033 | ||
wxWidgets/Phoenix | b2199e299a6ca6d866aa6f3d0888499136ead9d6 | wx/lib/docview.py | python | PathOnly | (path) | return os.path.split(path)[0] | Returns the path of a full path without the filename. | Returns the path of a full path without the filename. | [
"Returns",
"the",
"path",
"of",
"a",
"full",
"path",
"without",
"the",
"filename",
"."
] | def PathOnly(path):
"""
Returns the path of a full path without the filename.
"""
return os.path.split(path)[0] | [
"def",
"PathOnly",
"(",
"path",
")",
":",
"return",
"os",
".",
"path",
".",
"split",
"(",
"path",
")",
"[",
"0",
"]"
] | https://github.com/wxWidgets/Phoenix/blob/b2199e299a6ca6d866aa6f3d0888499136ead9d6/wx/lib/docview.py#L66-L70 | |
cms-dev/cms | 0401c5336b34b1731736045da4877fef11889274 | cms/server/jinja2_toolbox.py | python | today | (ctx, dt) | return dt.replace(tzinfo=utc).astimezone(timezone).date() \
== now.replace(tzinfo=utc).astimezone(timezone).date() | Returns whether the given datetime is today.
ctx (Context): a Jinja2 context, needed to retrieve the current
datetime and the timezone to use when comparing.
dt (datetime): a datetime.
return (bool): whether dt occurred today in the timezone. | Returns whether the given datetime is today. | [
"Returns",
"whether",
"the",
"given",
"datetime",
"is",
"today",
"."
] | def today(ctx, dt):
"""Returns whether the given datetime is today.
ctx (Context): a Jinja2 context, needed to retrieve the current
datetime and the timezone to use when comparing.
dt (datetime): a datetime.
return (bool): whether dt occurred today in the timezone.
"""
now = ctx.get("... | [
"def",
"today",
"(",
"ctx",
",",
"dt",
")",
":",
"now",
"=",
"ctx",
".",
"get",
"(",
"\"now\"",
",",
"make_datetime",
"(",
")",
")",
"timezone",
"=",
"ctx",
".",
"get",
"(",
"\"timezone\"",
",",
"local_tz",
")",
"return",
"dt",
".",
"replace",
"(",... | https://github.com/cms-dev/cms/blob/0401c5336b34b1731736045da4877fef11889274/cms/server/jinja2_toolbox.py#L119-L132 | |
smart-mobile-software/gitstack | d9fee8f414f202143eb6e620529e8e5539a2af56 | python/Lib/cookielib.py | python | CookieJar.clear_session_cookies | (self) | Discard all session cookies.
Note that the .save() method won't save session cookies anyway, unless
you ask otherwise by passing a true ignore_discard argument. | Discard all session cookies. | [
"Discard",
"all",
"session",
"cookies",
"."
] | def clear_session_cookies(self):
"""Discard all session cookies.
Note that the .save() method won't save session cookies anyway, unless
you ask otherwise by passing a true ignore_discard argument.
"""
self._cookies_lock.acquire()
try:
for cookie in self:
... | [
"def",
"clear_session_cookies",
"(",
"self",
")",
":",
"self",
".",
"_cookies_lock",
".",
"acquire",
"(",
")",
"try",
":",
"for",
"cookie",
"in",
"self",
":",
"if",
"cookie",
".",
"discard",
":",
"self",
".",
"clear",
"(",
"cookie",
".",
"domain",
",",... | https://github.com/smart-mobile-software/gitstack/blob/d9fee8f414f202143eb6e620529e8e5539a2af56/python/Lib/cookielib.py#L1676-L1689 | ||
oilshell/oil | 94388e7d44a9ad879b12615f6203b38596b5a2d3 | Python-2.7.13/Lib/plat-irix6/FILE.py | python | BBTOB | (bbs) | return ((bbs) << BBSHIFT) | [] | def BBTOB(bbs): return ((bbs) << BBSHIFT) | [
"def",
"BBTOB",
"(",
"bbs",
")",
":",
"return",
"(",
"(",
"bbs",
")",
"<<",
"BBSHIFT",
")"
] | https://github.com/oilshell/oil/blob/94388e7d44a9ad879b12615f6203b38596b5a2d3/Python-2.7.13/Lib/plat-irix6/FILE.py#L441-L441 | |||
lzx1413/PytorchSSD | 320fe34f394f40aaa3b8a34d1ceed46e7ffecd46 | models/RFB_Net_vgg.py | python | BasicRFB_a.__init__ | (self, in_planes, out_planes, stride=1, scale=0.1) | self.branch3 = nn.Sequential(
BasicConv(in_planes, inter_planes, kernel_size=1, stride=1),
BasicConv(inter_planes, inter_planes, kernel_size=3, stride=1, padding=1),
BasicConv(inter_planes, inter_planes, kernel_size=3, stride=1, padding=3, dilation=3, relu=False)
... | self.branch3 = nn.Sequential(
BasicConv(in_planes, inter_planes, kernel_size=1, stride=1),
BasicConv(inter_planes, inter_planes, kernel_size=3, stride=1, padding=1),
BasicConv(inter_planes, inter_planes, kernel_size=3, stride=1, padding=3, dilation=3, relu=False)
... | [
"self",
".",
"branch3",
"=",
"nn",
".",
"Sequential",
"(",
"BasicConv",
"(",
"in_planes",
"inter_planes",
"kernel_size",
"=",
"1",
"stride",
"=",
"1",
")",
"BasicConv",
"(",
"inter_planes",
"inter_planes",
"kernel_size",
"=",
"3",
"stride",
"=",
"1",
"paddin... | def __init__(self, in_planes, out_planes, stride=1, scale=0.1):
super(BasicRFB_a, self).__init__()
self.scale = scale
self.out_channels = out_planes
inter_planes = in_planes // 4
self.branch0 = nn.Sequential(
BasicConv(in_planes, inter_planes, kernel_size=1, stride=1... | [
"def",
"__init__",
"(",
"self",
",",
"in_planes",
",",
"out_planes",
",",
"stride",
"=",
"1",
",",
"scale",
"=",
"0.1",
")",
":",
"super",
"(",
"BasicRFB_a",
",",
"self",
")",
".",
"__init__",
"(",
")",
"self",
".",
"scale",
"=",
"scale",
"self",
"... | https://github.com/lzx1413/PytorchSSD/blob/320fe34f394f40aaa3b8a34d1ceed46e7ffecd46/models/RFB_Net_vgg.py#L69-L105 | ||
jython/jython3 | def4f8ec47cb7a9c799ea4c745f12badf92c5769 | lib-python/3.5.1/tkinter/__init__.py | python | PanedWindow.panecget | (self, child, option) | return self.tk.call(
(self._w, 'panecget') + (child, '-'+option)) | Query a management option for window.
Option may be any value allowed by the paneconfigure subcommand | Query a management option for window. | [
"Query",
"a",
"management",
"option",
"for",
"window",
"."
] | def panecget(self, child, option):
"""Query a management option for window.
Option may be any value allowed by the paneconfigure subcommand
"""
return self.tk.call(
(self._w, 'panecget') + (child, '-'+option)) | [
"def",
"panecget",
"(",
"self",
",",
"child",
",",
"option",
")",
":",
"return",
"self",
".",
"tk",
".",
"call",
"(",
"(",
"self",
".",
"_w",
",",
"'panecget'",
")",
"+",
"(",
"child",
",",
"'-'",
"+",
"option",
")",
")"
] | https://github.com/jython/jython3/blob/def4f8ec47cb7a9c799ea4c745f12badf92c5769/lib-python/3.5.1/tkinter/__init__.py#L3740-L3746 | |
CvvT/dumpDex | 92ab3b7e996194a06bf1dd5538a4954e8a5ee9c1 | python/idaapi.py | python | var_ref_t.__ne__ | (self, *args) | return _idaapi.var_ref_t___ne__(self, *args) | __ne__(self, r) -> bool | __ne__(self, r) -> bool | [
"__ne__",
"(",
"self",
"r",
")",
"-",
">",
"bool"
] | def __ne__(self, *args):
"""
__ne__(self, r) -> bool
"""
return _idaapi.var_ref_t___ne__(self, *args) | [
"def",
"__ne__",
"(",
"self",
",",
"*",
"args",
")",
":",
"return",
"_idaapi",
".",
"var_ref_t___ne__",
"(",
"self",
",",
"*",
"args",
")"
] | https://github.com/CvvT/dumpDex/blob/92ab3b7e996194a06bf1dd5538a4954e8a5ee9c1/python/idaapi.py#L36965-L36969 | |
apache/tvm | 6eb4ed813ebcdcd9558f0906a1870db8302ff1e0 | python/tvm/relay/op/contrib/ethosu.py | python | qnn_maxpool2d_pattern | () | return pattern | This function creates the pattern for nn.max_pool2d with optional fused RELU activation. | This function creates the pattern for nn.max_pool2d with optional fused RELU activation. | [
"This",
"function",
"creates",
"the",
"pattern",
"for",
"nn",
".",
"max_pool2d",
"with",
"optional",
"fused",
"RELU",
"activation",
"."
] | def qnn_maxpool2d_pattern() -> tvm.relay.dataflow_pattern.DFPattern:
"""
This function creates the pattern for nn.max_pool2d with optional fused RELU activation.
"""
pattern = is_op("nn.max_pool2d")(wildcard())
pattern = pattern.optional(is_op("clip"))
return pattern | [
"def",
"qnn_maxpool2d_pattern",
"(",
")",
"->",
"tvm",
".",
"relay",
".",
"dataflow_pattern",
".",
"DFPattern",
":",
"pattern",
"=",
"is_op",
"(",
"\"nn.max_pool2d\"",
")",
"(",
"wildcard",
"(",
")",
")",
"pattern",
"=",
"pattern",
".",
"optional",
"(",
"i... | https://github.com/apache/tvm/blob/6eb4ed813ebcdcd9558f0906a1870db8302ff1e0/python/tvm/relay/op/contrib/ethosu.py#L396-L402 | |
e2nIEE/pandapower | 12bd83d7c4e1bf3fa338dab2db649c3cd3db0cfb | pandapower/control/run_control.py | python | prepare_run_ctrl | (net, ctrl_variables, **kwargs) | return ctrl_variables | Prepares run control functions. Internal variables needed:
**controller_order** (list) - Order in which controllers in net.controller will be called
**runpp** (function) - the runpp function (for time series a faster version is possible)
**initial_run** (bool) - some controllers need an initial run of the ... | Prepares run control functions. Internal variables needed: | [
"Prepares",
"run",
"control",
"functions",
".",
"Internal",
"variables",
"needed",
":"
] | def prepare_run_ctrl(net, ctrl_variables, **kwargs):
"""
Prepares run control functions. Internal variables needed:
**controller_order** (list) - Order in which controllers in net.controller will be called
**runpp** (function) - the runpp function (for time series a faster version is possible)
**in... | [
"def",
"prepare_run_ctrl",
"(",
"net",
",",
"ctrl_variables",
",",
"*",
"*",
"kwargs",
")",
":",
"# sort controller_order by order if not already done",
"ctrl_var",
"=",
"ctrl_variables",
"if",
"ctrl_variables",
"is",
"None",
":",
"ctrl_variables",
"=",
"ctrl_variables_... | https://github.com/e2nIEE/pandapower/blob/12bd83d7c4e1bf3fa338dab2db649c3cd3db0cfb/pandapower/control/run_control.py#L107-L133 | |
cdhigh/KindleEar | 7c4ecf9625239f12a829210d1760b863ef5a23aa | lib/cssutils/tokenize2.py | python | Tokenizer.__init__ | (self, macros=None, productions=None, doComments=True) | inits tokenizer with given macros and productions which default to
cssutils own macros and productions | inits tokenizer with given macros and productions which default to
cssutils own macros and productions | [
"inits",
"tokenizer",
"with",
"given",
"macros",
"and",
"productions",
"which",
"default",
"to",
"cssutils",
"own",
"macros",
"and",
"productions"
] | def __init__(self, macros=None, productions=None, doComments=True):
"""
inits tokenizer with given macros and productions which default to
cssutils own macros and productions
"""
if isinstance(macros, dict):
macros_hash_key = sorted(macros.items())
else:
... | [
"def",
"__init__",
"(",
"self",
",",
"macros",
"=",
"None",
",",
"productions",
"=",
"None",
",",
"doComments",
"=",
"True",
")",
":",
"if",
"isinstance",
"(",
"macros",
",",
"dict",
")",
":",
"macros_hash_key",
"=",
"sorted",
"(",
"macros",
".",
"item... | https://github.com/cdhigh/KindleEar/blob/7c4ecf9625239f12a829210d1760b863ef5a23aa/lib/cssutils/tokenize2.py#L34-L62 | ||
lululxvi/deepxde | 730c97282636e86c845ce2ba3253482f2178469e | deepxde/data/fpde.py | python | FractionalTime.get_matrix_dynamic | (self, sparse) | return self.fracx.get_matrix(sparse) | [] | def get_matrix_dynamic(self, sparse):
return self.fracx.get_matrix(sparse) | [
"def",
"get_matrix_dynamic",
"(",
"self",
",",
"sparse",
")",
":",
"return",
"self",
".",
"fracx",
".",
"get_matrix",
"(",
"sparse",
")"
] | https://github.com/lululxvi/deepxde/blob/730c97282636e86c845ce2ba3253482f2178469e/deepxde/data/fpde.py#L651-L652 | |||
pymedusa/Medusa | 1405fbb6eb8ef4d20fcca24c32ddca52b11f0f38 | ext/boto/datapipeline/layer1.py | python | DataPipelineConnection.report_task_runner_heartbeat | (self, taskrunner_id, worker_group=None,
hostname=None) | return self.make_request(action='ReportTaskRunnerHeartbeat',
body=json.dumps(params)) | Task runners call ReportTaskRunnerHeartbeat every 15 minutes
to indicate that they are operational. In the case of AWS Data
Pipeline Task Runner launched on a resource managed by AWS
Data Pipeline, the web service can use this call to detect
when the task runner application has failed an... | Task runners call ReportTaskRunnerHeartbeat every 15 minutes
to indicate that they are operational. In the case of AWS Data
Pipeline Task Runner launched on a resource managed by AWS
Data Pipeline, the web service can use this call to detect
when the task runner application has failed an... | [
"Task",
"runners",
"call",
"ReportTaskRunnerHeartbeat",
"every",
"15",
"minutes",
"to",
"indicate",
"that",
"they",
"are",
"operational",
".",
"In",
"the",
"case",
"of",
"AWS",
"Data",
"Pipeline",
"Task",
"Runner",
"launched",
"on",
"a",
"resource",
"managed",
... | def report_task_runner_heartbeat(self, taskrunner_id, worker_group=None,
hostname=None):
"""
Task runners call ReportTaskRunnerHeartbeat every 15 minutes
to indicate that they are operational. In the case of AWS Data
Pipeline Task Runner launched on a... | [
"def",
"report_task_runner_heartbeat",
"(",
"self",
",",
"taskrunner_id",
",",
"worker_group",
"=",
"None",
",",
"hostname",
"=",
"None",
")",
":",
"params",
"=",
"{",
"'taskrunnerId'",
":",
"taskrunner_id",
",",
"}",
"if",
"worker_group",
"is",
"not",
"None",... | https://github.com/pymedusa/Medusa/blob/1405fbb6eb8ef4d20fcca24c32ddca52b11f0f38/ext/boto/datapipeline/layer1.py#L476-L513 | |
LoRexxar/Kunlun-M | 06a68cf308f3d38be223d1d891465abcac9db88a | utils/file.py | python | File.lines | (self, line_rule) | return content | 获取指定行内容
:param line_rule:
:return: | 获取指定行内容
:param line_rule:
:return: | [
"获取指定行内容",
":",
"param",
"line_rule",
":",
":",
"return",
":"
] | def lines(self, line_rule):
"""
获取指定行内容
:param line_rule:
:return:
"""
result = get_line(self.file_path, line_rule)
result = "\n".join(result)
if len(result):
try:
content = result.decode('utf-8')
except AttributeEr... | [
"def",
"lines",
"(",
"self",
",",
"line_rule",
")",
":",
"result",
"=",
"get_line",
"(",
"self",
".",
"file_path",
",",
"line_rule",
")",
"result",
"=",
"\"\\n\"",
".",
"join",
"(",
"result",
")",
"if",
"len",
"(",
"result",
")",
":",
"try",
":",
"... | https://github.com/LoRexxar/Kunlun-M/blob/06a68cf308f3d38be223d1d891465abcac9db88a/utils/file.py#L747-L765 | |
sagemath/sagenb | 67a73cbade02639bc08265f28f3165442113ad4d | sagenb/notebook/cell.py | python | Cell.next_compute_id | (self) | r"""
Returns the ID of the next compute cell in this compute cell's
worksheet object. If this cell is *not* in the worksheet, it
returns the ID of the worksheet's *first* compute cell. If
this *is* the last compute cell, it returns its *own* ID.
OUTPUT:
- an integer ... | r"""
Returns the ID of the next compute cell in this compute cell's
worksheet object. If this cell is *not* in the worksheet, it
returns the ID of the worksheet's *first* compute cell. If
this *is* the last compute cell, it returns its *own* ID. | [
"r",
"Returns",
"the",
"ID",
"of",
"the",
"next",
"compute",
"cell",
"in",
"this",
"compute",
"cell",
"s",
"worksheet",
"object",
".",
"If",
"this",
"cell",
"is",
"*",
"not",
"*",
"in",
"the",
"worksheet",
"it",
"returns",
"the",
"ID",
"of",
"the",
"... | def next_compute_id(self):
r"""
Returns the ID of the next compute cell in this compute cell's
worksheet object. If this cell is *not* in the worksheet, it
returns the ID of the worksheet's *first* compute cell. If
this *is* the last compute cell, it returns its *own* ID.
... | [
"def",
"next_compute_id",
"(",
"self",
")",
":",
"L",
"=",
"self",
".",
"worksheet",
"(",
")",
".",
"compute_cell_list",
"(",
")",
"try",
":",
"k",
"=",
"L",
".",
"index",
"(",
"self",
")",
"except",
"ValueError",
":",
"print",
"(",
"\"Warning -- cell ... | https://github.com/sagemath/sagenb/blob/67a73cbade02639bc08265f28f3165442113ad4d/sagenb/notebook/cell.py#L1201-L1234 | ||
scikit-learn/scikit-learn | 1d1aadd0711b87d2a11c80aad15df6f8cf156712 | sklearn/cluster/_spectral.py | python | cluster_qr | (vectors) | return vectors.argmax(axis=1) | Find the discrete partition closest to the eigenvector embedding.
This implementation was proposed in [1]_.
.. versionadded:: 1.1
Parameters
----------
vectors : array-like, shape: (n_samples, n_clusters)
The embedding space of the samples.
Returns
---... | Find the discrete partition closest to the eigenvector embedding. | [
"Find",
"the",
"discrete",
"partition",
"closest",
"to",
"the",
"eigenvector",
"embedding",
"."
] | def cluster_qr(vectors):
"""Find the discrete partition closest to the eigenvector embedding.
This implementation was proposed in [1]_.
.. versionadded:: 1.1
Parameters
----------
vectors : array-like, shape: (n_samples, n_clusters)
The embedding space of the sampl... | [
"def",
"cluster_qr",
"(",
"vectors",
")",
":",
"k",
"=",
"vectors",
".",
"shape",
"[",
"1",
"]",
"_",
",",
"_",
",",
"piv",
"=",
"qr",
"(",
"vectors",
".",
"T",
",",
"pivoting",
"=",
"True",
")",
"ut",
",",
"_",
",",
"v",
"=",
"svd",
"(",
"... | https://github.com/scikit-learn/scikit-learn/blob/1d1aadd0711b87d2a11c80aad15df6f8cf156712/sklearn/cluster/_spectral.py#L27-L56 | |
golismero/golismero | 7d605b937e241f51c1ca4f47b20f755eeefb9d76 | golismero/managers/pluginmanager.py | python | PluginInfo._fix_classname | (self, plugin_class) | Protected method to update the class name if found during plugin load.
(Assumes it's always valid, so no sanitization is performed).
.. warning: This method is called internally by GoLismero,
do not call it yourself!
:param plugin_class: Plugin class name.
:type plu... | Protected method to update the class name if found during plugin load.
(Assumes it's always valid, so no sanitization is performed). | [
"Protected",
"method",
"to",
"update",
"the",
"class",
"name",
"if",
"found",
"during",
"plugin",
"load",
".",
"(",
"Assumes",
"it",
"s",
"always",
"valid",
"so",
"no",
"sanitization",
"is",
"performed",
")",
"."
] | def _fix_classname(self, plugin_class):
"""
Protected method to update the class name if found during plugin load.
(Assumes it's always valid, so no sanitization is performed).
.. warning: This method is called internally by GoLismero,
do not call it yourself!
... | [
"def",
"_fix_classname",
"(",
"self",
",",
"plugin_class",
")",
":",
"self",
".",
"__plugin_class",
"=",
"plugin_class"
] | https://github.com/golismero/golismero/blob/7d605b937e241f51c1ca4f47b20f755eeefb9d76/golismero/managers/pluginmanager.py#L634-L645 | ||
colour-science/colour | 38782ac059e8ddd91939f3432bf06811c16667f0 | colour/utilities/array.py | python | MixinDataclassArray.__array__ | (self, *args, **kwargs) | return tstack([
value if value is not None else default
for value in field_values.values()
], *args, **kwargs) | Implements support for *dataclass_like* conversion to :class:`ndarray`
class.
A field set to *None* will be filled with `np.nan` according to the
shape of the first field not set with *None*.
Other Parameters
----------------
\\*args : list, optional
Argumen... | Implements support for *dataclass_like* conversion to :class:`ndarray`
class. | [
"Implements",
"support",
"for",
"*",
"dataclass_like",
"*",
"conversion",
"to",
":",
"class",
":",
"ndarray",
"class",
"."
] | def __array__(self, *args, **kwargs):
"""
Implements support for *dataclass_like* conversion to :class:`ndarray`
class.
A field set to *None* will be filled with `np.nan` according to the
shape of the first field not set with *None*.
Other Parameters
-----------... | [
"def",
"__array__",
"(",
"self",
",",
"*",
"args",
",",
"*",
"*",
"kwargs",
")",
":",
"field_values",
"=",
"{",
"field",
".",
"name",
":",
"getattr",
"(",
"self",
",",
"field",
".",
"name",
")",
"for",
"field",
"in",
"fields",
"(",
"self",
")",
"... | https://github.com/colour-science/colour/blob/38782ac059e8ddd91939f3432bf06811c16667f0/colour/utilities/array.py#L89-L124 | |
microsoft/SDNet | adef46911c4ef4161938e0dcc8a2b435cd680582 | Models/Bert/modeling.py | python | PreTrainedBertModel.init_bert_weights | (self, module) | Initialize the weights. | Initialize the weights. | [
"Initialize",
"the",
"weights",
"."
] | def init_bert_weights(self, module):
""" Initialize the weights.
"""
if isinstance(module, (nn.Linear, nn.Embedding)):
# Slightly different from the TF version which uses truncated_normal for initialization
# cf https://github.com/pytorch/pytorch/pull/5617
mod... | [
"def",
"init_bert_weights",
"(",
"self",
",",
"module",
")",
":",
"if",
"isinstance",
"(",
"module",
",",
"(",
"nn",
".",
"Linear",
",",
"nn",
".",
"Embedding",
")",
")",
":",
"# Slightly different from the TF version which uses truncated_normal for initialization",
... | https://github.com/microsoft/SDNet/blob/adef46911c4ef4161938e0dcc8a2b435cd680582/Models/Bert/modeling.py#L433-L444 | ||
openhatch/oh-mainline | ce29352a034e1223141dcc2f317030bbc3359a51 | vendor/packages/irc/irc/bot.py | python | SingleServerIRCBot._connect | (self) | Establish a connection to the server at the front of the server_list. | Establish a connection to the server at the front of the server_list. | [
"Establish",
"a",
"connection",
"to",
"the",
"server",
"at",
"the",
"front",
"of",
"the",
"server_list",
"."
] | def _connect(self):
"""
Establish a connection to the server at the front of the server_list.
"""
server = self.server_list[0]
try:
self.connect(server.host, server.port, self._nickname,
server.password, ircname=self._realname,
**self._... | [
"def",
"_connect",
"(",
"self",
")",
":",
"server",
"=",
"self",
".",
"server_list",
"[",
"0",
"]",
"try",
":",
"self",
".",
"connect",
"(",
"server",
".",
"host",
",",
"server",
".",
"port",
",",
"self",
".",
"_nickname",
",",
"server",
".",
"pass... | https://github.com/openhatch/oh-mainline/blob/ce29352a034e1223141dcc2f317030bbc3359a51/vendor/packages/irc/irc/bot.py#L107-L117 | ||
scrapinghub/spidermon | f2b21e45e70796f583bbb97f39b823c31d242b17 | spidermon/results/monitor.py | python | MonitorResult.addFailure | (self, test, error) | [] | def addFailure(self, test, error):
super().addFailure(test, error)
self.step[test].status = settings.MONITOR.STATUS.FAILURE
self.step[test].error = self._exc_info_to_string(error, test)
self.step[test].reason = str(error[1]) | [
"def",
"addFailure",
"(",
"self",
",",
"test",
",",
"error",
")",
":",
"super",
"(",
")",
".",
"addFailure",
"(",
"test",
",",
"error",
")",
"self",
".",
"step",
"[",
"test",
"]",
".",
"status",
"=",
"settings",
".",
"MONITOR",
".",
"STATUS",
".",
... | https://github.com/scrapinghub/spidermon/blob/f2b21e45e70796f583bbb97f39b823c31d242b17/spidermon/results/monitor.py#L101-L105 | ||||
xtiankisutsa/MARA_Framework | ac4ac88bfd38f33ae8780a606ed09ab97177c562 | tools/AndroBugs/tools/modified/androguard/core/bytecodes/dvm.py | python | DCode.pretty_show | (self, m_a) | Display (with a pretty print) this object
:param m_a: :class:`MethodAnalysis` object | Display (with a pretty print) this object | [
"Display",
"(",
"with",
"a",
"pretty",
"print",
")",
"this",
"object"
] | def pretty_show(self, m_a):
"""
Display (with a pretty print) this object
:param m_a: :class:`MethodAnalysis` object
"""
bytecode.PrettyShow(m_a, m_a.basic_blocks.gets(), self.notes)
bytecode.PrettyShowEx(m_a.exceptions.gets()) | [
"def",
"pretty_show",
"(",
"self",
",",
"m_a",
")",
":",
"bytecode",
".",
"PrettyShow",
"(",
"m_a",
",",
"m_a",
".",
"basic_blocks",
".",
"gets",
"(",
")",
",",
"self",
".",
"notes",
")",
"bytecode",
".",
"PrettyShowEx",
"(",
"m_a",
".",
"exceptions",
... | https://github.com/xtiankisutsa/MARA_Framework/blob/ac4ac88bfd38f33ae8780a606ed09ab97177c562/tools/AndroBugs/tools/modified/androguard/core/bytecodes/dvm.py#L6390-L6397 | ||
TarrySingh/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials | 5bb97d7e3ffd913abddb4cfa7d78a1b4c868890e | tensorflow_dl_models/research/syntaxnet/dragnn/python/digraph_ops.py | python | LabelPotentialsFromTokens | (tokens, weights) | return labels_bxnxl | r"""Computes label potentials from tokens and weights.
For each batch of token activations, computes a scalar potential for each
label as the product between the activations of the source token and the
|weights|. Specifically,
labels[b,t,l] = \sum_{i} weights[l,i] * tokens[b,t,i]
Args:
tokens: [B,N,... | r"""Computes label potentials from tokens and weights. | [
"r",
"Computes",
"label",
"potentials",
"from",
"tokens",
"and",
"weights",
"."
] | def LabelPotentialsFromTokens(tokens, weights):
r"""Computes label potentials from tokens and weights.
For each batch of token activations, computes a scalar potential for each
label as the product between the activations of the source token and the
|weights|. Specifically,
labels[b,t,l] = \sum_{i} weigh... | [
"def",
"LabelPotentialsFromTokens",
"(",
"tokens",
",",
"weights",
")",
":",
"check",
".",
"Eq",
"(",
"tokens",
".",
"get_shape",
"(",
")",
".",
"ndims",
",",
"3",
",",
"'tokens must be rank 3'",
")",
"check",
".",
"Eq",
"(",
"weights",
".",
"get_shape",
... | https://github.com/TarrySingh/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials/blob/5bb97d7e3ffd913abddb4cfa7d78a1b4c868890e/tensorflow_dl_models/research/syntaxnet/dragnn/python/digraph_ops.py#L241-L284 | |
sagemath/sage | f9b2db94f675ff16963ccdefba4f1a3393b3fe0d | src/sage/schemes/hyperelliptic_curves/invariants.py | python | igusa_clebsch_invariants | (f) | return clebsch_to_igusa(*clebsch_invariants(f)) | r"""
Given a sextic form `f`, return the Igusa-Clebsch invariants `I_2, I_4,
I_6, I_{10}` of Igusa and Clebsch [IJ1960]_.
`f` may be homogeneous in two variables or inhomogeneous in one.
EXAMPLES::
sage: from sage.schemes.hyperelliptic_curves.invariants import igusa_clebsch_invariants
... | r"""
Given a sextic form `f`, return the Igusa-Clebsch invariants `I_2, I_4,
I_6, I_{10}` of Igusa and Clebsch [IJ1960]_. | [
"r",
"Given",
"a",
"sextic",
"form",
"f",
"return",
"the",
"Igusa",
"-",
"Clebsch",
"invariants",
"I_2",
"I_4",
"I_6",
"I_",
"{",
"10",
"}",
"of",
"Igusa",
"and",
"Clebsch",
"[",
"IJ1960",
"]",
"_",
"."
] | def igusa_clebsch_invariants(f):
r"""
Given a sextic form `f`, return the Igusa-Clebsch invariants `I_2, I_4,
I_6, I_{10}` of Igusa and Clebsch [IJ1960]_.
`f` may be homogeneous in two variables or inhomogeneous in one.
EXAMPLES::
sage: from sage.schemes.hyperelliptic_curves.invariants im... | [
"def",
"igusa_clebsch_invariants",
"(",
"f",
")",
":",
"return",
"clebsch_to_igusa",
"(",
"*",
"clebsch_invariants",
"(",
"f",
")",
")"
] | https://github.com/sagemath/sage/blob/f9b2db94f675ff16963ccdefba4f1a3393b3fe0d/src/sage/schemes/hyperelliptic_curves/invariants.py#L293-L329 | |
doraemonext/wechat-python-sdk | bf6f6f3d4a5440feb73a51937059d7feddc335a0 | wechat_sdk/basic.py | python | WechatBasic.get_access_token | (self) | return self.conf.get_access_token() | 获取 Access Token 及 Access Token 过期日期, 仅供缓存使用, 如果希望得到原生的 Access Token 请求数据请使用 :func:`grant_token`
**仅为兼容 v0.6.0 以前版本使用, 自行维护 access_token 请使用 access_token_setfunc 和 access_token_getfunc 进行操作**
:return: dict 对象, key 包括 `access_token` 及 `access_token_expires_at` | 获取 Access Token 及 Access Token 过期日期, 仅供缓存使用, 如果希望得到原生的 Access Token 请求数据请使用 :func:`grant_token`
**仅为兼容 v0.6.0 以前版本使用, 自行维护 access_token 请使用 access_token_setfunc 和 access_token_getfunc 进行操作**
:return: dict 对象, key 包括 `access_token` 及 `access_token_expires_at` | [
"获取",
"Access",
"Token",
"及",
"Access",
"Token",
"过期日期",
"仅供缓存使用",
"如果希望得到原生的",
"Access",
"Token",
"请求数据请使用",
":",
"func",
":",
"grant_token",
"**",
"仅为兼容",
"v0",
".",
"6",
".",
"0",
"以前版本使用",
"自行维护",
"access_token",
"请使用",
"access_token_setfunc",
"和",
"acce... | def get_access_token(self):
"""
获取 Access Token 及 Access Token 过期日期, 仅供缓存使用, 如果希望得到原生的 Access Token 请求数据请使用 :func:`grant_token`
**仅为兼容 v0.6.0 以前版本使用, 自行维护 access_token 请使用 access_token_setfunc 和 access_token_getfunc 进行操作**
:return: dict 对象, key 包括 `access_token` 及 `access_token_expires_a... | [
"def",
"get_access_token",
"(",
"self",
")",
":",
"return",
"self",
".",
"conf",
".",
"get_access_token",
"(",
")"
] | https://github.com/doraemonext/wechat-python-sdk/blob/bf6f6f3d4a5440feb73a51937059d7feddc335a0/wechat_sdk/basic.py#L183-L189 | |
isl-org/MiDaS | b7fbf07a5d687653ec053757152f8f87efe49b4d | midas/midas_net.py | python | MidasNet.__init__ | (self, path=None, features=256, non_negative=True) | Init.
Args:
path (str, optional): Path to saved model. Defaults to None.
features (int, optional): Number of features. Defaults to 256.
backbone (str, optional): Backbone network for encoder. Defaults to resnet50 | Init. | [
"Init",
"."
] | def __init__(self, path=None, features=256, non_negative=True):
"""Init.
Args:
path (str, optional): Path to saved model. Defaults to None.
features (int, optional): Number of features. Defaults to 256.
backbone (str, optional): Backbone network for encoder. Defaults... | [
"def",
"__init__",
"(",
"self",
",",
"path",
"=",
"None",
",",
"features",
"=",
"256",
",",
"non_negative",
"=",
"True",
")",
":",
"print",
"(",
"\"Loading weights: \"",
",",
"path",
")",
"super",
"(",
"MidasNet",
",",
"self",
")",
".",
"__init__",
"("... | https://github.com/isl-org/MiDaS/blob/b7fbf07a5d687653ec053757152f8f87efe49b4d/midas/midas_net.py#L16-L47 | ||
kedro-org/kedro | e78990c6b606a27830f0d502afa0f639c0830950 | kedro/versioning/journal.py | python | JournalFileHandler.emit | (self, record: logging.LogRecord) | Overriding emit function in logging.Handler, which will output the record to
the filelog based on run id.
Args:
record: logging record. | Overriding emit function in logging.Handler, which will output the record to
the filelog based on run id. | [
"Overriding",
"emit",
"function",
"in",
"logging",
".",
"Handler",
"which",
"will",
"output",
"the",
"record",
"to",
"the",
"filelog",
"based",
"on",
"run",
"id",
"."
] | def emit(self, record: logging.LogRecord) -> None:
"""Overriding emit function in logging.Handler, which will output the record to
the filelog based on run id.
Args:
record: logging record.
"""
message = json.loads(record.getMessage())
handler = self._file_... | [
"def",
"emit",
"(",
"self",
",",
"record",
":",
"logging",
".",
"LogRecord",
")",
"->",
"None",
":",
"message",
"=",
"json",
".",
"loads",
"(",
"record",
".",
"getMessage",
"(",
")",
")",
"handler",
"=",
"self",
".",
"_file_handlers",
".",
"setdefault"... | https://github.com/kedro-org/kedro/blob/e78990c6b606a27830f0d502afa0f639c0830950/kedro/versioning/journal.py#L122-L136 | ||
tianzhi0549/FCOS | 0eb8ee0b7114a3ca42ad96cd89e0ac63a205461e | fcos_core/modeling/rpn/retinanet/loss.py | python | RetinaNetLossComputation.__call__ | (self, anchors, box_cls, box_regression, targets) | return retinanet_cls_loss, retinanet_regression_loss | Arguments:
anchors (list[BoxList])
box_cls (list[Tensor])
box_regression (list[Tensor])
targets (list[BoxList])
Returns:
retinanet_cls_loss (Tensor)
retinanet_regression_loss (Tensor | Arguments:
anchors (list[BoxList])
box_cls (list[Tensor])
box_regression (list[Tensor])
targets (list[BoxList]) | [
"Arguments",
":",
"anchors",
"(",
"list",
"[",
"BoxList",
"]",
")",
"box_cls",
"(",
"list",
"[",
"Tensor",
"]",
")",
"box_regression",
"(",
"list",
"[",
"Tensor",
"]",
")",
"targets",
"(",
"list",
"[",
"BoxList",
"]",
")"
] | def __call__(self, anchors, box_cls, box_regression, targets):
"""
Arguments:
anchors (list[BoxList])
box_cls (list[Tensor])
box_regression (list[Tensor])
targets (list[BoxList])
Returns:
retinanet_cls_loss (Tensor)
retinan... | [
"def",
"__call__",
"(",
"self",
",",
"anchors",
",",
"box_cls",
",",
"box_regression",
",",
"targets",
")",
":",
"anchors",
"=",
"[",
"cat_boxlist",
"(",
"anchors_per_image",
")",
"for",
"anchors_per_image",
"in",
"anchors",
"]",
"labels",
",",
"regression_tar... | https://github.com/tianzhi0549/FCOS/blob/0eb8ee0b7114a3ca42ad96cd89e0ac63a205461e/fcos_core/modeling/rpn/retinanet/loss.py#L43-L80 | |
rembo10/headphones | b3199605be1ebc83a7a8feab6b1e99b64014187c | lib/beets/art.py | python | clear | (log, lib, query) | [] | def clear(log, lib, query):
items = lib.items(query)
log.info(u'Clearing album art from {0} items', len(items))
for item in items:
log.debug(u'Clearing art for {0}', item)
item.try_write(tags={'images': None}) | [
"def",
"clear",
"(",
"log",
",",
"lib",
",",
"query",
")",
":",
"items",
"=",
"lib",
".",
"items",
"(",
"query",
")",
"log",
".",
"info",
"(",
"u'Clearing album art from {0} items'",
",",
"len",
"(",
"items",
")",
")",
"for",
"item",
"in",
"items",
"... | https://github.com/rembo10/headphones/blob/b3199605be1ebc83a7a8feab6b1e99b64014187c/lib/beets/art.py#L217-L222 | ||||
home-assistant/core | 265ebd17a3f17ed8dc1e9bdede03ac8e323f1ab1 | homeassistant/components/volvooncall/lock.py | python | VolvoLock.async_lock | (self, **kwargs) | Lock the car. | Lock the car. | [
"Lock",
"the",
"car",
"."
] | async def async_lock(self, **kwargs):
"""Lock the car."""
await self.instrument.lock() | [
"async",
"def",
"async_lock",
"(",
"self",
",",
"*",
"*",
"kwargs",
")",
":",
"await",
"self",
".",
"instrument",
".",
"lock",
"(",
")"
] | https://github.com/home-assistant/core/blob/265ebd17a3f17ed8dc1e9bdede03ac8e323f1ab1/homeassistant/components/volvooncall/lock.py#L33-L35 | ||
jupyterhub/kubespawner | 81e6059a1481138d27d0d3c32f403ecd21d576d8 | kubespawner/spawner.py | python | KubeSpawner._start_watching_pods | (self, replace=False) | return self._start_reflector(
"pods",
PodReflector,
omit_namespace=self.enable_user_namespaces,
replace=replace,
) | Start the pod reflector
If replace=False and the pod reflector is already running,
do nothing.
If replace=True, a running pod reflector will be stopped
and a new one started (for recovering from possible errors). | Start the pod reflector | [
"Start",
"the",
"pod",
"reflector"
] | def _start_watching_pods(self, replace=False):
"""Start the pod reflector
If replace=False and the pod reflector is already running,
do nothing.
If replace=True, a running pod reflector will be stopped
and a new one started (for recovering from possible errors).
"""
... | [
"def",
"_start_watching_pods",
"(",
"self",
",",
"replace",
"=",
"False",
")",
":",
"pod_reflector_class",
"=",
"PodReflector",
"pod_reflector_class",
".",
"labels",
".",
"update",
"(",
"{",
"\"component\"",
":",
"self",
".",
"component_label",
"}",
")",
"return... | https://github.com/jupyterhub/kubespawner/blob/81e6059a1481138d27d0d3c32f403ecd21d576d8/kubespawner/spawner.py#L2287-L2303 | |
vitruvianscience/OpenDeep | e96efc449101094354b615cf15afe6d03644fc36 | opendeep/models/model.py | python | Model.get_loss | (self) | return None | Helper function for defining model-specific loss functions. Normally, you would pass an instance of
:class:`opendeep.optimization.loss.Loss` to the optimizer. However, sometimes models or layers have
specific, fixed loss functions that need to be implemented internally. If that is the case, implement
... | Helper function for defining model-specific loss functions. Normally, you would pass an instance of
:class:`opendeep.optimization.loss.Loss` to the optimizer. However, sometimes models or layers have
specific, fixed loss functions that need to be implemented internally. If that is the case, implement
... | [
"Helper",
"function",
"for",
"defining",
"model",
"-",
"specific",
"loss",
"functions",
".",
"Normally",
"you",
"would",
"pass",
"an",
"instance",
"of",
":",
"class",
":",
"opendeep",
".",
"optimization",
".",
"loss",
".",
"Loss",
"to",
"the",
"optimizer",
... | def get_loss(self):
"""
Helper function for defining model-specific loss functions. Normally, you would pass an instance of
:class:`opendeep.optimization.loss.Loss` to the optimizer. However, sometimes models or layers have
specific, fixed loss functions that need to be implemented inter... | [
"def",
"get_loss",
"(",
"self",
")",
":",
"return",
"None"
] | https://github.com/vitruvianscience/OpenDeep/blob/e96efc449101094354b615cf15afe6d03644fc36/opendeep/models/model.py#L477-L490 | |
xavierd/clang_complete | 293a1062274a06be61797612034bd8d87851406e | plugin/clang/cindex.py | python | TranslationUnit.get_file | (self, filename) | return File.from_name(self, filename) | Obtain a File from this translation unit. | Obtain a File from this translation unit. | [
"Obtain",
"a",
"File",
"from",
"this",
"translation",
"unit",
"."
] | def get_file(self, filename):
"""Obtain a File from this translation unit."""
return File.from_name(self, filename) | [
"def",
"get_file",
"(",
"self",
",",
"filename",
")",
":",
"return",
"File",
".",
"from_name",
"(",
"self",
",",
"filename",
")"
] | https://github.com/xavierd/clang_complete/blob/293a1062274a06be61797612034bd8d87851406e/plugin/clang/cindex.py#L2104-L2107 | |
zhl2008/awd-platform | 0416b31abea29743387b10b3914581fbe8e7da5e | web_flaskbb/lib/python2.7/site-packages/amqp/transport.py | python | TCPTransport._setup_transport | (self) | [] | def _setup_transport(self):
# Setup to _write() directly to the socket, and
# do our own buffered reads.
self._write = self.sock.sendall
self._read_buffer = EMPTY_BUFFER
self._quick_recv = self.sock.recv | [
"def",
"_setup_transport",
"(",
"self",
")",
":",
"# Setup to _write() directly to the socket, and",
"# do our own buffered reads.",
"self",
".",
"_write",
"=",
"self",
".",
"sock",
".",
"sendall",
"self",
".",
"_read_buffer",
"=",
"EMPTY_BUFFER",
"self",
".",
"_quick... | https://github.com/zhl2008/awd-platform/blob/0416b31abea29743387b10b3914581fbe8e7da5e/web_flaskbb/lib/python2.7/site-packages/amqp/transport.py#L363-L368 | ||||
eltonlaw/impyute | b76a6b4bd3da36515d5f1fa87f35d0c3f4209c83 | impyute/ops/wrapper.py | python | _shape_3d | (data) | return len(np.shape(data)) == 3 | True if array is 3D | True if array is 3D | [
"True",
"if",
"array",
"is",
"3D"
] | def _shape_3d(data):
""" True if array is 3D"""
return len(np.shape(data)) == 3 | [
"def",
"_shape_3d",
"(",
"data",
")",
":",
"return",
"len",
"(",
"np",
".",
"shape",
"(",
"data",
")",
")",
"==",
"3"
] | https://github.com/eltonlaw/impyute/blob/b76a6b4bd3da36515d5f1fa87f35d0c3f4209c83/impyute/ops/wrapper.py#L153-L155 | |
ARISE-Initiative/robosuite | a5dfaf03cd769170881a1931d8f19c8eb72f531a | robosuite/utils/mjmod.py | python | CameraModder.get_pos | (self, name) | return self.model.cam_pos[camid] | Grabs position of a specific camera
Args:
name (str): Name of the camera
Returns:
np.array: (x,y,z) position of the camera
Raises:
AssertionError: Invalid camera name | Grabs position of a specific camera | [
"Grabs",
"position",
"of",
"a",
"specific",
"camera"
] | def get_pos(self, name):
"""
Grabs position of a specific camera
Args:
name (str): Name of the camera
Returns:
np.array: (x,y,z) position of the camera
Raises:
AssertionError: Invalid camera name
"""
camid = self.get_camid(na... | [
"def",
"get_pos",
"(",
"self",
",",
"name",
")",
":",
"camid",
"=",
"self",
".",
"get_camid",
"(",
"name",
")",
"assert",
"camid",
">",
"-",
"1",
",",
"\"Unknown camera %s\"",
"%",
"name",
"return",
"self",
".",
"model",
".",
"cam_pos",
"[",
"camid",
... | https://github.com/ARISE-Initiative/robosuite/blob/a5dfaf03cd769170881a1931d8f19c8eb72f531a/robosuite/utils/mjmod.py#L734-L749 | |
elfgzp/wechat_mall | b2a39bcf7b3d459e594751ed3525d71fcb27acb8 | weixin/pay.py | python | WeixinPay.order_query | (self, transaction_id='', out_trade_no='') | return self.make_request(method, url, kwargs) | 订单查询接口
https://pay.weixin.qq.com/wiki/doc/api/jsapi.php?chapter=9_2
:param out_trade_no: 可选，商户订单号，默认自动生成
:param transaction_id: 可选，微信订单号 和out_trade_no 二选一
:return: 返回的结果数据
-----
trade_state 订单状态
SUCCESS—支付成功
REFUND—转入退款
NOTPAY—未支付
CLOSED—已关... | 订单查询接口
https://pay.weixin.qq.com/wiki/doc/api/jsapi.php?chapter=9_2
:param out_trade_no: 可选，商户订单号，默认自动生成
:param transaction_id: 可选，微信订单号 和out_trade_no 二选一
:return: 返回的结果数据
-----
trade_state 订单状态
SUCCESS—支付成功
REFUND—转入退款
NOTPAY—未支付
CLOSED—已关... | [
"订单查询接口",
"https",
":",
"//",
"pay",
".",
"weixin",
".",
"qq",
".",
"com",
"/",
"wiki",
"/",
"doc",
"/",
"api",
"/",
"jsapi",
".",
"php?chapter",
"=",
"9_2",
":",
"param",
"out_trade_no",
":",
"可选，商户订单号，默认自动生成",
":",
"param",
"transaction_id",
":",
"可选... | def order_query(self, transaction_id='', out_trade_no=''):
"""
订单查询接口
https://pay.weixin.qq.com/wiki/doc/api/jsapi.php?chapter=9_2
:param out_trade_no: 可选，商户订单号，默认自动生成
:param transaction_id: 可选，微信订单号 和out_trade_no 二选一
:return: 返回的结果数据
-----
trade_state 订单状... | [
"def",
"order_query",
"(",
"self",
",",
"transaction_id",
"=",
"''",
",",
"out_trade_no",
"=",
"''",
")",
":",
"path",
"=",
"'pay/orderquery'",
"params",
"=",
"dict",
"(",
"transaction_id",
"=",
"transaction_id",
",",
"out_trade_no",
"=",
"out_trade_no",
")",
... | https://github.com/elfgzp/wechat_mall/blob/b2a39bcf7b3d459e594751ed3525d71fcb27acb8/weixin/pay.py#L169-L192 | |
asyml/texar-pytorch | b83d3ec17e19da08fc5f81996d02f91176e55e54 | texar/torch/utils/rnn.py | python | bidirectional_dynamic_rnn | (
cell_fw: RNNCellBase[State],
cell_bw: RNNCellBase[State],
inputs: torch.Tensor,
sequence_length: Optional[Union[torch.LongTensor, List[int]]] = None,
initial_state_fw: Optional[State] = None,
initial_state_bw: Optional[State] = None,
time_major: bool = False) | return outputs, output_states | r"""Creates a dynamic version of bidirectional recurrent neural network.
Takes input and builds independent forward and backward RNNs. The
input_size of forward and backward cell must match. The initial state for
both directions is zero by default (but can be set optionally) and no
intermediate states ... | r"""Creates a dynamic version of bidirectional recurrent neural network. | [
"r",
"Creates",
"a",
"dynamic",
"version",
"of",
"bidirectional",
"recurrent",
"neural",
"network",
"."
] | def bidirectional_dynamic_rnn(
cell_fw: RNNCellBase[State],
cell_bw: RNNCellBase[State],
inputs: torch.Tensor,
sequence_length: Optional[Union[torch.LongTensor, List[int]]] = None,
initial_state_fw: Optional[State] = None,
initial_state_bw: Optional[State] = None,
... | [
"def",
"bidirectional_dynamic_rnn",
"(",
"cell_fw",
":",
"RNNCellBase",
"[",
"State",
"]",
",",
"cell_bw",
":",
"RNNCellBase",
"[",
"State",
"]",
",",
"inputs",
":",
"torch",
".",
"Tensor",
",",
"sequence_length",
":",
"Optional",
"[",
"Union",
"[",
"torch",... | https://github.com/asyml/texar-pytorch/blob/b83d3ec17e19da08fc5f81996d02f91176e55e54/texar/torch/utils/rnn.py#L82-L189 | |
spectralpython/spectral | e1cd919f5f66abddc219b76926450240feaaed8f | spectral/graphics/spypylab.py | python | KeyParser.mods_are | (self, *args) | return True | Return True if modifiers are exactly the ones specified. | Return True if modifiers are exactly the ones specified. | [
"Return",
"True",
"if",
"modifiers",
"are",
"exactly",
"the",
"ones",
"specified",
"."
] | def mods_are(self, *args):
'''Return True if modifiers are exactly the ones specified.'''
for a in args:
if a not in self.modifiers:
return False
return True | [
"def",
"mods_are",
"(",
"self",
",",
"*",
"args",
")",
":",
"for",
"a",
"in",
"args",
":",
"if",
"a",
"not",
"in",
"self",
".",
"modifiers",
":",
"return",
"False",
"return",
"True"
] | https://github.com/spectralpython/spectral/blob/e1cd919f5f66abddc219b76926450240feaaed8f/spectral/graphics/spypylab.py#L395-L400 | |
avrae/avrae | 6ebe46a1ec3d4dfaa2f9b18fac948325f39f87de | aliasing/api/statblock.py | python | AliasSkill.prof | (self) | return self._skill.prof | The proficiency multiplier in this skill. 0 = no proficiency, 0.5 = JoAT, 1 = proficiency, 2 = expertise.
:rtype: float or int | The proficiency multiplier in this skill. 0 = no proficiency, 0.5 = JoAT, 1 = proficiency, 2 = expertise. | [
"The",
"proficiency",
"multiplier",
"in",
"this",
"skill",
".",
"0",
"=",
"no",
"proficiency",
"0",
".",
"5",
"=",
"JoAT",
"1",
"=",
"proficiency",
"2",
"=",
"expertise",
"."
] | def prof(self):
"""
The proficiency multiplier in this skill. 0 = no proficiency, 0.5 = JoAT, 1 = proficiency, 2 = expertise.
:rtype: float or int
"""
return self._skill.prof | [
"def",
"prof",
"(",
"self",
")",
":",
"return",
"self",
".",
"_skill",
".",
"prof"
] | https://github.com/avrae/avrae/blob/6ebe46a1ec3d4dfaa2f9b18fac948325f39f87de/aliasing/api/statblock.py#L443-L449 | |
TencentCloud/tencentcloud-sdk-python | 3677fd1cdc8c5fd626ce001c13fd3b59d1f279d2 | tencentcloud/iot/v20180123/models.py | python | AssociateSubDeviceToGatewayProductResponse.__init__ | (self) | r"""
:param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。
:type RequestId: str | r"""
:param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。
:type RequestId: str | [
"r",
":",
"param",
"RequestId",
":",
"唯一请求",
"ID，每次请求都会返回。定位问题时需要提供该次请求的",
"RequestId。",
":",
"type",
"RequestId",
":",
"str"
] | def __init__(self):
r"""
:param RequestId: 唯一请求 ID，每次请求都会返回。定位问题时需要提供该次请求的 RequestId。
:type RequestId: str
"""
self.RequestId = None | [
"def",
"__init__",
"(",
"self",
")",
":",
"self",
".",
"RequestId",
"=",
"None"
] | https://github.com/TencentCloud/tencentcloud-sdk-python/blob/3677fd1cdc8c5fd626ce001c13fd3b59d1f279d2/tencentcloud/iot/v20180123/models.py#L1212-L1217 | ||
pantsbuild/pex | 473c6ac732ed4bc338b4b20a9ec930d1d722c9b4 | pex/vendor/_vendored/pip/pip/_internal/req/req_install.py | python | InstallRequirement.__repr__ | (self) | return '<{} object: {} editable={!r}>'.format(
self.__class__.__name__, str(self), self.editable) | [] | def __repr__(self):
# type: () -> str
return '<{} object: {} editable={!r}>'.format(
self.__class__.__name__, str(self), self.editable) | [
"def",
"__repr__",
"(",
"self",
")",
":",
"# type: () -> str",
"return",
"'<{} object: {} editable={!r}>'",
".",
"format",
"(",
"self",
".",
"__class__",
".",
"__name__",
",",
"str",
"(",
"self",
")",
",",
"self",
".",
"editable",
")"
] | https://github.com/pantsbuild/pex/blob/473c6ac732ed4bc338b4b20a9ec930d1d722c9b4/pex/vendor/_vendored/pip/pip/_internal/req/req_install.py#L234-L237 | |||
pazz/alot | 52f11f089df19cf336ad0983368e880dc5364149 | alot/settings/theme.py | python | Theme.__init__ | (self, path) | :param path: path to theme file
:type path: str
:raises: :class:`~alot.settings.errors.ConfigError` | :param path: path to theme file
:type path: str
:raises: :class:`~alot.settings.errors.ConfigError` | [
":",
"param",
"path",
":",
"path",
"to",
"theme",
"file",
":",
"type",
"path",
":",
"str",
":",
"raises",
":",
":",
"class",
":",
"~alot",
".",
"settings",
".",
"errors",
".",
"ConfigError"
] | def __init__(self, path):
"""
:param path: path to theme file
:type path: str
:raises: :class:`~alot.settings.errors.ConfigError`
"""
self._spec = os.path.join(DEFAULTSPATH, 'theme.spec')
self._config = read_config(path, self._spec, report_extra=True,
... | [
"def",
"__init__",
"(",
"self",
",",
"path",
")",
":",
"self",
".",
"_spec",
"=",
"os",
".",
"path",
".",
"join",
"(",
"DEFAULTSPATH",
",",
"'theme.spec'",
")",
"self",
".",
"_config",
"=",
"read_config",
"(",
"path",
",",
"self",
".",
"_spec",
",",
... | https://github.com/pazz/alot/blob/52f11f089df19cf336ad0983368e880dc5364149/alot/settings/theme.py#L16-L41 | ||
googleapis/google-auth-library-python | 87cd2455aca96ac3fbc4a8b2f8e4c0bba568a70b | google/oauth2/id_token.py | python | verify_oauth2_token | (id_token, request, audience=None, clock_skew_in_seconds=0) | return idinfo | Verifies an ID Token issued by Google's OAuth 2.0 authorization server.
Args:
id_token (Union[str, bytes]): The encoded token.
request (google.auth.transport.Request): The object used to make
HTTP requests.
audience (str): The audience that this token is intended for. This is
... | Verifies an ID Token issued by Google's OAuth 2.0 authorization server. | [
"Verifies",
"an",
"ID",
"Token",
"issued",
"by",
"Google",
"s",
"OAuth",
"2",
".",
"0",
"authorization",
"server",
"."
] | def verify_oauth2_token(id_token, request, audience=None, clock_skew_in_seconds=0):
"""Verifies an ID Token issued by Google's OAuth 2.0 authorization server.
Args:
id_token (Union[str, bytes]): The encoded token.
request (google.auth.transport.Request): The object used to make
HTTP... | [
"def",
"verify_oauth2_token",
"(",
"id_token",
",",
"request",
",",
"audience",
"=",
"None",
",",
"clock_skew_in_seconds",
"=",
"0",
")",
":",
"idinfo",
"=",
"verify_token",
"(",
"id_token",
",",
"request",
",",
"audience",
"=",
"audience",
",",
"certs_url",
... | https://github.com/googleapis/google-auth-library-python/blob/87cd2455aca96ac3fbc4a8b2f8e4c0bba568a70b/google/oauth2/id_token.py#L143-L178 | |
romanz/trezor-agent | 23f8ef09a5b8eda2187b6883487d7ce0d9bd0b5e | libagent/gpg/keyring.py | python | parse | (s) | return parse_term(s) | Parse full s-expr from bytes. | Parse full s-expr from bytes. | [
"Parse",
"full",
"s",
"-",
"expr",
"from",
"bytes",
"."
] | def parse(s):
"""Parse full s-expr from bytes."""
if s.startswith(b'('):
s = s[1:]
name, s = parse_term(s)
values = [name]
while not s.startswith(b')'):
value, s = parse(s)
values.append(value)
return values, s[1:]
return parse_term(s) | [
"def",
"parse",
"(",
"s",
")",
":",
"if",
"s",
".",
"startswith",
"(",
"b'('",
")",
":",
"s",
"=",
"s",
"[",
"1",
":",
"]",
"name",
",",
"s",
"=",
"parse_term",
"(",
"s",
")",
"values",
"=",
"[",
"name",
"]",
"while",
"not",
"s",
".",
"star... | https://github.com/romanz/trezor-agent/blob/23f8ef09a5b8eda2187b6883487d7ce0d9bd0b5e/libagent/gpg/keyring.py#L107-L118 | |
donnemartin/gitsome | d7c57abc7cb66e9c910a844f15d4536866da3310 | xonsh/platform.py | python | pathbasename | (p) | return pathsplit(p)[-1] | This is a safe version of os.path.basename(), which does not work on
input without a drive. This version does. | This is a safe version of os.path.basename(), which does not work on
input without a drive. This version does. | [
"This",
"is",
"a",
"safe",
"version",
"of",
"os",
".",
"path",
".",
"basename",
"()",
"which",
"does",
"not",
"work",
"on",
"input",
"without",
"a",
"drive",
".",
"This",
"version",
"does",
"."
] | def pathbasename(p):
"""This is a safe version of os.path.basename(), which does not work on
input without a drive. This version does.
"""
return pathsplit(p)[-1] | [
"def",
"pathbasename",
"(",
"p",
")",
":",
"return",
"pathsplit",
"(",
"p",
")",
"[",
"-",
"1",
"]"
] | https://github.com/donnemartin/gitsome/blob/d7c57abc7cb66e9c910a844f15d4536866da3310/xonsh/platform.py#L240-L244 | |
chb/indivo_server | 9826c67ab17d7fc0df935db327344fb0c7d237e5 | indivo/views/documents/document_delete.py | python | _document_delete | (document_id, pha=None, record=None) | return DONE | Delete a document.
**ARGUMENTS:**
* *document_id*: The internal identifier of the document to delete.
* *pha*: If the document to delete is scoped to an app, this
:py:class:`~indivo.models.apps.PHA` instance refers to the app.
* *record*: If the document to delete is scoped to a record, this
:py:c... | Delete a document. | [
"Delete",
"a",
"document",
"."
] | def _document_delete(document_id, pha=None, record=None):
""" Delete a document.
**ARGUMENTS:**
* *document_id*: The internal identifier of the document to delete.
* *pha*: If the document to delete is scoped to an app, this
:py:class:`~indivo.models.apps.PHA` instance refers to the app.
* *record*:... | [
"def",
"_document_delete",
"(",
"document_id",
",",
"pha",
"=",
"None",
",",
"record",
"=",
"None",
")",
":",
"document",
"=",
"_get_document",
"(",
"record",
"=",
"record",
",",
"pha",
"=",
"pha",
",",
"document_id",
"=",
"document_id",
")",
"if",
"not"... | https://github.com/chb/indivo_server/blob/9826c67ab17d7fc0df935db327344fb0c7d237e5/indivo/views/documents/document_delete.py#L38-L68 | |
prody/ProDy | b24bbf58aa8fffe463c8548ae50e3955910e5b7f | prody/dynamics/plotting.py | python | showContactMap | (enm, **kwargs) | return show | Show contact map using :func:`showAtomicMatrix`. *enm* can be
either a :class:`.GNM` or :class:`.Atomic` object. | Show contact map using :func:`showAtomicMatrix`. *enm* can be
either a :class:`.GNM` or :class:`.Atomic` object. | [
"Show",
"contact",
"map",
"using",
":",
"func",
":",
"showAtomicMatrix",
".",
"*",
"enm",
"*",
"can",
"be",
"either",
"a",
":",
"class",
":",
".",
"GNM",
"or",
":",
"class",
":",
".",
"Atomic",
"object",
"."
] | def showContactMap(enm, **kwargs):
"""Show contact map using :func:`showAtomicMatrix`. *enm* can be
either a :class:`.GNM` or :class:`.Atomic` object."""
import matplotlib.pyplot as plt
#if SETTINGS['auto_show']:
# plt.figure()
cmap = kwargs.pop('cmap', 'Greys')
if isinstance(enm, ... | [
"def",
"showContactMap",
"(",
"enm",
",",
"*",
"*",
"kwargs",
")",
":",
"import",
"matplotlib",
".",
"pyplot",
"as",
"plt",
"#if SETTINGS['auto_show']:",
"# plt.figure()",
"cmap",
"=",
"kwargs",
".",
"pop",
"(",
"'cmap'",
",",
"'Greys'",
")",
"if",
"isins... | https://github.com/prody/ProDy/blob/b24bbf58aa8fffe463c8548ae50e3955910e5b7f/prody/dynamics/plotting.py#L817-L849 | |
colour-science/colour | 38782ac059e8ddd91939f3432bf06811c16667f0 | colour/models/rgb/transfer_functions/filmic_pro.py | python | _log_decoding_FilmicPro6_interpolator | () | return _LOG_DECODING_FILMICPRO_INTERPOLATOR_CACHE | Returns the *FiLMiC Pro 6* log decoding curve / electro-optical transfer
function interpolator and caches it if not existing.
Returns
-------
Extrapolator
*FiLMiC Pro 6* log decoding curve / electro-optical transfer
function interpolator. | Returns the *FiLMiC Pro 6* log decoding curve / electro-optical transfer
function interpolator and caches it if not existing. | [
"Returns",
"the",
"*",
"FiLMiC",
"Pro",
"6",
"*",
"log",
"decoding",
"curve",
"/",
"electro",
"-",
"optical",
"transfer",
"function",
"interpolator",
"and",
"caches",
"it",
"if",
"not",
"existing",
"."
] | def _log_decoding_FilmicPro6_interpolator():
"""
Returns the *FiLMiC Pro 6* log decoding curve / electro-optical transfer
function interpolator and caches it if not existing.
Returns
-------
Extrapolator
*FiLMiC Pro 6* log decoding curve / electro-optical transfer
function inter... | [
"def",
"_log_decoding_FilmicPro6_interpolator",
"(",
")",
":",
"global",
"_LOG_DECODING_FILMICPRO_INTERPOLATOR_CACHE",
"t",
"=",
"np",
".",
"arange",
"(",
"0",
",",
"1",
",",
"0.0001",
")",
"if",
"_LOG_DECODING_FILMICPRO_INTERPOLATOR_CACHE",
"is",
"None",
":",
"_LOG_D... | https://github.com/colour-science/colour/blob/38782ac059e8ddd91939f3432bf06811c16667f0/colour/models/rgb/transfer_functions/filmic_pro.py#L95-L114 | |
twisted/twisted | dee676b040dd38b847ea6fb112a712cb5e119490 | src/twisted/web/vhost.py | python | NameVirtualHost._getResourceForRequest | (self, request) | return self.hosts.get(host, self.default) or resource.NoResource(
"host %s not in vhost map" % repr(host)
) | (Internal) Get the appropriate resource for the given host. | (Internal) Get the appropriate resource for the given host. | [
"(",
"Internal",
")",
"Get",
"the",
"appropriate",
"resource",
"for",
"the",
"given",
"host",
"."
] | def _getResourceForRequest(self, request):
"""(Internal) Get the appropriate resource for the given host."""
hostHeader = request.getHeader(b"host")
if hostHeader == None:
return self.default or resource.NoResource()
else:
host = hostHeader.lower().split(b":", 1)[... | [
"def",
"_getResourceForRequest",
"(",
"self",
",",
"request",
")",
":",
"hostHeader",
"=",
"request",
".",
"getHeader",
"(",
"b\"host\"",
")",
"if",
"hostHeader",
"==",
"None",
":",
"return",
"self",
".",
"default",
"or",
"resource",
".",
"NoResource",
"(",
... | https://github.com/twisted/twisted/blob/dee676b040dd38b847ea6fb112a712cb5e119490/src/twisted/web/vhost.py#L77-L86 | |
jython/frozen-mirror | b8d7aa4cee50c0c0fe2f4b235dd62922dd0f3f99 | lib-python/2.7/stringold.py | python | rfind | (s, *args) | return _apply(s.rfind, args) | rfind(s, sub [,start [,end]]) -> int
Return the highest index in s where substring sub is found,
such that sub is contained within s[start,end]. Optional
arguments start and end are interpreted as in slice notation.
Return -1 on failure. | rfind(s, sub [,start [,end]]) -> int | [
"rfind",
"(",
"s",
"sub",
"[",
"start",
"[",
"end",
"]]",
")",
"-",
">",
"int"
] | def rfind(s, *args):
"""rfind(s, sub [,start [,end]]) -> int
Return the highest index in s where substring sub is found,
such that sub is contained within s[start,end]. Optional
arguments start and end are interpreted as in slice notation.
Return -1 on failure.
"""
return _apply(s.rfind,... | [
"def",
"rfind",
"(",
"s",
",",
"*",
"args",
")",
":",
"return",
"_apply",
"(",
"s",
".",
"rfind",
",",
"args",
")"
] | https://github.com/jython/frozen-mirror/blob/b8d7aa4cee50c0c0fe2f4b235dd62922dd0f3f99/lib-python/2.7/stringold.py#L178-L188 | |
twitter/zktraffic | 82db04d9aafa13f694d4f5c7265069db42c0307c | zktraffic/zab/quorum_packet.py | python | AckEpoch.__init__ | (self, timestamp, src, dst, ptype, zxid, length, epoch) | [] | def __init__(self, timestamp, src, dst, ptype, zxid, length, epoch):
super(AckEpoch, self).__init__(timestamp, src, dst, ptype, zxid, length)
self.epoch = epoch | [
"def",
"__init__",
"(",
"self",
",",
"timestamp",
",",
"src",
",",
"dst",
",",
"ptype",
",",
"zxid",
",",
"length",
",",
"epoch",
")",
":",
"super",
"(",
"AckEpoch",
",",
"self",
")",
".",
"__init__",
"(",
"timestamp",
",",
"src",
",",
"dst",
",",
... | https://github.com/twitter/zktraffic/blob/82db04d9aafa13f694d4f5c7265069db42c0307c/zktraffic/zab/quorum_packet.py#L349-L351 | ||||
NTMC-Community/MatchZoo | 8a487ee5a574356fc91e4f48e219253dc11bcff2 | matchzoo/utils/bert_utils.py | python | whitespace_tokenize | (text) | return tokens | Runs basic whitespace cleaning and splitting on a piece of text. | Runs basic whitespace cleaning and splitting on a piece of text. | [
"Runs",
"basic",
"whitespace",
"cleaning",
"and",
"splitting",
"on",
"a",
"piece",
"of",
"text",
"."
] | def whitespace_tokenize(text):
"""Runs basic whitespace cleaning and splitting on a piece of text."""
text = text.strip()
tokens = text.split()
return tokens | [
"def",
"whitespace_tokenize",
"(",
"text",
")",
":",
"text",
"=",
"text",
".",
"strip",
"(",
")",
"tokens",
"=",
"text",
".",
"split",
"(",
")",
"return",
"tokens"
] | https://github.com/NTMC-Community/MatchZoo/blob/8a487ee5a574356fc91e4f48e219253dc11bcff2/matchzoo/utils/bert_utils.py#L90-L94 | |
oxwhirl/smac | 456d133f40030e60f27bc7a85d2c5bdf96f6ad56 | smac/examples/rllib/env.py | python | RLlibStarCraft2Env.reset | (self) | return return_obs | Resets the env and returns observations from ready agents.
Returns:
obs (dict): New observations for each ready agent. | Resets the env and returns observations from ready agents. | [
"Resets",
"the",
"env",
"and",
"returns",
"observations",
"from",
"ready",
"agents",
"."
] | def reset(self):
"""Resets the env and returns observations from ready agents.
Returns:
obs (dict): New observations for each ready agent.
"""
obs_list, state_list = self._env.reset()
return_obs = {}
for i, obs in enumerate(obs_list):
return_obs[... | [
"def",
"reset",
"(",
"self",
")",
":",
"obs_list",
",",
"state_list",
"=",
"self",
".",
"_env",
".",
"reset",
"(",
")",
"return_obs",
"=",
"{",
"}",
"for",
"i",
",",
"obs",
"in",
"enumerate",
"(",
"obs_list",
")",
":",
"return_obs",
"[",
"i",
"]",
... | https://github.com/oxwhirl/smac/blob/456d133f40030e60f27bc7a85d2c5bdf96f6ad56/smac/examples/rllib/env.py#L44-L60 | |
OpenAgricultureFoundation/openag-device-software | a51d2de399c0a6781ae51d0dcfaae1583d75f346 | device/utilities/logger.py | python | Logger.exception | (self, message: str) | Reports standard logging exception message if in normal runtime
environment. If in test environment, prepends message with
logger name. | Reports standard logging exception message if in normal runtime
environment. If in test environment, prepends message with
logger name. | [
"Reports",
"standard",
"logging",
"exception",
"message",
"if",
"in",
"normal",
"runtime",
"environment",
".",
"If",
"in",
"test",
"environment",
"prepends",
"message",
"with",
"logger",
"name",
"."
] | def exception(self, message: str) -> None:
""" Reports standard logging exception message if in normal runtime
environment. If in test environment, prepends message with
logger name. """
if "pytest" in sys.modules:
self.logger.exception(self.name + ": " + str(message)... | [
"def",
"exception",
"(",
"self",
",",
"message",
":",
"str",
")",
"->",
"None",
":",
"if",
"\"pytest\"",
"in",
"sys",
".",
"modules",
":",
"self",
".",
"logger",
".",
"exception",
"(",
"self",
".",
"name",
"+",
"\": \"",
"+",
"str",
"(",
"message",
... | https://github.com/OpenAgricultureFoundation/openag-device-software/blob/a51d2de399c0a6781ae51d0dcfaae1583d75f346/device/utilities/logger.py#L65-L72 | ||
mozillazg/pypy | 2ff5cd960c075c991389f842c6d59e71cf0cb7d0 | lib-python/2.7/lib-tk/tkFont.py | python | Font.actual | (self, option=None) | Return actual font attributes | Return actual font attributes | [
"Return",
"actual",
"font",
"attributes"
] | def actual(self, option=None):
"Return actual font attributes"
if option:
return self._call("font", "actual", self.name, "-"+option)
else:
return self._mkdict(
self._split(self._call("font", "actual", self.name))
) | [
"def",
"actual",
"(",
"self",
",",
"option",
"=",
"None",
")",
":",
"if",
"option",
":",
"return",
"self",
".",
"_call",
"(",
"\"font\"",
",",
"\"actual\"",
",",
"self",
".",
"name",
",",
"\"-\"",
"+",
"option",
")",
"else",
":",
"return",
"self",
... | https://github.com/mozillazg/pypy/blob/2ff5cd960c075c991389f842c6d59e71cf0cb7d0/lib-python/2.7/lib-tk/tkFont.py#L122-L129 | ||
yt-project/yt | dc7b24f9b266703db4c843e329c6c8644d47b824 | yt/utilities/parameter_file_storage.py | python | ParameterFileStore.insert_ds | (self, ds) | This will insert a new *ds* and flush the database to disk. | This will insert a new *ds* and flush the database to disk. | [
"This",
"will",
"insert",
"a",
"new",
"*",
"ds",
"*",
"and",
"flush",
"the",
"database",
"to",
"disk",
"."
] | def insert_ds(self, ds):
"""This will insert a new *ds* and flush the database to disk."""
self._records[ds._hash()] = self._adapt_ds(ds)
self.flush_db() | [
"def",
"insert_ds",
"(",
"self",
",",
"ds",
")",
":",
"self",
".",
"_records",
"[",
"ds",
".",
"_hash",
"(",
")",
"]",
"=",
"self",
".",
"_adapt_ds",
"(",
"ds",
")",
"self",
".",
"flush_db",
"(",
")"
] | https://github.com/yt-project/yt/blob/dc7b24f9b266703db4c843e329c6c8644d47b824/yt/utilities/parameter_file_storage.py#L145-L148 | ||
Ultimaker/Uranium | 66da853cd9a04edd3a8a03526fac81e83c03f5aa | UM/VersionUpgrade.py | python | FormatException.__str__ | (self) | return "Exception parsing " + self._file + ": " + self._message | Gives a human-readable representation of this exception.
:return: A human-readable representation of this exception. | Gives a human-readable representation of this exception. | [
"Gives",
"a",
"human",
"-",
"readable",
"representation",
"of",
"this",
"exception",
"."
] | def __str__(self):
"""Gives a human-readable representation of this exception.
:return: A human-readable representation of this exception.
"""
return "Exception parsing " + self._file + ": " + self._message | [
"def",
"__str__",
"(",
"self",
")",
":",
"return",
"\"Exception parsing \"",
"+",
"self",
".",
"_file",
"+",
"\": \"",
"+",
"self",
".",
"_message"
] | https://github.com/Ultimaker/Uranium/blob/66da853cd9a04edd3a8a03526fac81e83c03f5aa/UM/VersionUpgrade.py#L62-L68 | |
andresriancho/w3af | cd22e5252243a87aaa6d0ddea47cf58dacfe00a9 | w3af/core/data/dc/utils/token.py | python | DataToken.__str__ | (self) | return smart_str(self._value, errors='ignore') | [] | def __str__(self):
return smart_str(self._value, errors='ignore') | [
"def",
"__str__",
"(",
"self",
")",
":",
"return",
"smart_str",
"(",
"self",
".",
"_value",
",",
"errors",
"=",
"'ignore'",
")"
] | https://github.com/andresriancho/w3af/blob/cd22e5252243a87aaa6d0ddea47cf58dacfe00a9/w3af/core/data/dc/utils/token.py#L73-L74 | |||
oracle/graalpython | 577e02da9755d916056184ec441c26e00b70145c | graalpython/lib-python/3/_pydecimal.py | python | Decimal.logical_or | (self, other, context=None) | return _dec_from_triple(0, result.lstrip('0') or '0', 0) | Applies an 'or' operation between self and other's digits. | Applies an 'or' operation between self and other's digits. | [
"Applies",
"an",
"or",
"operation",
"between",
"self",
"and",
"other",
"s",
"digits",
"."
] | def logical_or(self, other, context=None):
"""Applies an 'or' operation between self and other's digits."""
if context is None:
context = getcontext()
other = _convert_other(other, raiseit=True)
if not self._islogical() or not other._islogical():
return context.... | [
"def",
"logical_or",
"(",
"self",
",",
"other",
",",
"context",
"=",
"None",
")",
":",
"if",
"context",
"is",
"None",
":",
"context",
"=",
"getcontext",
"(",
")",
"other",
"=",
"_convert_other",
"(",
"other",
",",
"raiseit",
"=",
"True",
")",
"if",
"... | https://github.com/oracle/graalpython/blob/577e02da9755d916056184ec441c26e00b70145c/graalpython/lib-python/3/_pydecimal.py#L3404-L3419 | |
calmevtime/DCTNet | bd7c669b478e47fde230119045133d10e135de97 | classification/datasets/cvtransforms.py | python | RandomPerspective.get_params | (fov_range, anglex_ranges, angley_ranges, anglez_ranges, shear_ranges,
translate, scale_ranges, img_size) | return fov, anglex, angley, anglez, shear, translations, scale | Get parameters for perspective transformation
Returns:
sequence: params to be passed to the perspective transformation | Get parameters for perspective transformation | [
"Get",
"parameters",
"for",
"perspective",
"transformation"
] | def get_params(fov_range, anglex_ranges, angley_ranges, anglez_ranges, shear_ranges,
translate, scale_ranges, img_size):
"""Get parameters for perspective transformation
Returns:
sequence: params to be passed to the perspective transformation
"""
fov = 90... | [
"def",
"get_params",
"(",
"fov_range",
",",
"anglex_ranges",
",",
"angley_ranges",
",",
"anglez_ranges",
",",
"shear_ranges",
",",
"translate",
",",
"scale_ranges",
",",
"img_size",
")",
":",
"fov",
"=",
"90",
"+",
"random",
".",
"uniform",
"(",
"-",
"fov_ra... | https://github.com/calmevtime/DCTNet/blob/bd7c669b478e47fde230119045133d10e135de97/classification/datasets/cvtransforms.py#L1200-L1221 | |
tensorflow/models | 6b8bb0cbeb3e10415c7a87448f08adc3c484c1d3 | official/legacy/image_classification/resnet/resnet_runnable.py | python | ResnetRunnable.train_step | (self, iterator) | See base class. | See base class. | [
"See",
"base",
"class",
"."
] | def train_step(self, iterator):
"""See base class."""
def step_fn(inputs):
"""Function to run on the device."""
images, labels = inputs
with tf.GradientTape() as tape:
logits = self.model(images, training=True)
prediction_loss = tf.keras.losses.sparse_categorical_crossentropy... | [
"def",
"train_step",
"(",
"self",
",",
"iterator",
")",
":",
"def",
"step_fn",
"(",
"inputs",
")",
":",
"\"\"\"Function to run on the device.\"\"\"",
"images",
",",
"labels",
"=",
"inputs",
"with",
"tf",
".",
"GradientTape",
"(",
")",
"as",
"tape",
":",
"log... | https://github.com/tensorflow/models/blob/6b8bb0cbeb3e10415c7a87448f08adc3c484c1d3/official/legacy/image_classification/resnet/resnet_runnable.py#L134-L166 | ||
KenT2/pipresents-gapless | 31a347bb8b45898a3fe08b1daf765e31d47b7a87 | remi/gui.py | python | TextInput.onenter | (self, new_value) | return self.eventManager.propagate(self.EVENT_ONENTER, (new_value,)) | Called when the user types an ENTER into the TextInput.
Note: This event can't be registered together with Widget.onkeydown.
Args:
new_value (str): the new string content of the TextInput. | Called when the user types an ENTER into the TextInput.
Note: This event can't be registered together with Widget.onkeydown. | [
"Called",
"when",
"the",
"user",
"types",
"an",
"ENTER",
"into",
"the",
"TextInput",
".",
"Note",
":",
"This",
"event",
"can",
"t",
"be",
"registered",
"together",
"with",
"Widget",
".",
"onkeydown",
"."
] | def onenter(self, new_value):
"""Called when the user types an ENTER into the TextInput.
Note: This event can't be registered together with Widget.onkeydown.
Args:
new_value (str): the new string content of the TextInput.
"""
self.set_value(new_value)
return ... | [
"def",
"onenter",
"(",
"self",
",",
"new_value",
")",
":",
"self",
".",
"set_value",
"(",
"new_value",
")",
"return",
"self",
".",
"eventManager",
".",
"propagate",
"(",
"self",
".",
"EVENT_ONENTER",
",",
"(",
"new_value",
",",
")",
")"
] | https://github.com/KenT2/pipresents-gapless/blob/31a347bb8b45898a3fe08b1daf765e31d47b7a87/remi/gui.py#L1135-L1143 | |
rkhleics/wagtailmodeladmin | 7fddc853bab2ff3868b8c7a03329308c55f16358 | wagtailmodeladmin/options.py | python | ModelAdmin.get_extra_attrs_for_field_col | (self, obj, field_name) | return {} | Return a dictionary of additional HTML attributes to be added to a
table cell when rendering the output of `field_name` for `obj` in
`index_view`.
Must always return a dictionary. | Return a dictionary of additional HTML attributes to be added to a
table cell when rendering the output of `field_name` for `obj` in
`index_view`. | [
"Return",
"a",
"dictionary",
"of",
"additional",
"HTML",
"attributes",
"to",
"be",
"added",
"to",
"a",
"table",
"cell",
"when",
"rendering",
"the",
"output",
"of",
"field_name",
"for",
"obj",
"in",
"index_view",
"."
] | def get_extra_attrs_for_field_col(self, obj, field_name):
"""
Return a dictionary of additional HTML attributes to be added to a
table cell when rendering the output of `field_name` for `obj` in
`index_view`.
Must always return a dictionary.
"""
return {} | [
"def",
"get_extra_attrs_for_field_col",
"(",
"self",
",",
"obj",
",",
"field_name",
")",
":",
"return",
"{",
"}"
] | https://github.com/rkhleics/wagtailmodeladmin/blob/7fddc853bab2ff3868b8c7a03329308c55f16358/wagtailmodeladmin/options.py#L286-L294 | |
larryhastings/gilectomy | 4315ec3f1d6d4f813cc82ce27a24e7f784dbfc1a | Lib/tarfile.py | python | TarFile.makedir | (self, tarinfo, targetpath) | Make a directory called targetpath. | Make a directory called targetpath. | [
"Make",
"a",
"directory",
"called",
"targetpath",
"."
] | def makedir(self, tarinfo, targetpath):
"""Make a directory called targetpath.
"""
try:
# Use a safe mode for the directory, the real mode is set
# later in _extract_member().
os.mkdir(targetpath, 0o700)
except FileExistsError:
pass | [
"def",
"makedir",
"(",
"self",
",",
"tarinfo",
",",
"targetpath",
")",
":",
"try",
":",
"# Use a safe mode for the directory, the real mode is set",
"# later in _extract_member().",
"os",
".",
"mkdir",
"(",
"targetpath",
",",
"0o700",
")",
"except",
"FileExistsError",
... | https://github.com/larryhastings/gilectomy/blob/4315ec3f1d6d4f813cc82ce27a24e7f784dbfc1a/Lib/tarfile.py#L2136-L2144 | ||
phonopy/phonopy | 816586d0ba8177482ecf40e52f20cbdee2260d51 | phonopy/phonon/dos.py | python | plot_partial_dos | (
ax,
frequency_points,
partial_dos,
indices=None,
legend=None,
xlabel=None,
ylabel=None,
draw_grid=True,
flip_xy=False,
) | Plot partial DOS. | Plot partial DOS. | [
"Plot",
"partial",
"DOS",
"."
] | def plot_partial_dos(
ax,
frequency_points,
partial_dos,
indices=None,
legend=None,
xlabel=None,
ylabel=None,
draw_grid=True,
flip_xy=False,
):
"""Plot partial DOS."""
warnings.warn(
"plot_partial_dos() is deprecated. Use plot_projected_dos() instead.",
Deprec... | [
"def",
"plot_partial_dos",
"(",
"ax",
",",
"frequency_points",
",",
"partial_dos",
",",
"indices",
"=",
"None",
",",
"legend",
"=",
"None",
",",
"xlabel",
"=",
"None",
",",
"ylabel",
"=",
"None",
",",
"draw_grid",
"=",
"True",
",",
"flip_xy",
"=",
"False... | https://github.com/phonopy/phonopy/blob/816586d0ba8177482ecf40e52f20cbdee2260d51/phonopy/phonon/dos.py#L577-L603 | ||
gleeda/memtriage | c24f4859995cccb9d88ccc0118d90693019cc1d5 | volatility/volatility/renderers/html.py | python | JSONRenderer.render | (self, outfd, data) | return outfd.write(json.dumps(json_input,ensure_ascii=False)) | Renderers a treegrid as columns/row items in JSON format | Renderers a treegrid as columns/row items in JSON format | [
"Renderers",
"a",
"treegrid",
"as",
"columns",
"/",
"row",
"items",
"in",
"JSON",
"format"
] | def render(self, outfd, data):
"""Renderers a treegrid as columns/row items in JSON format"""
# TODO: Implement tree structure in JSON
if data.max_depth() > 1:
raise NotImplementedError("JSON output for trees has not yet been implemented")
# TODO: Output (basic) type informat... | [
"def",
"render",
"(",
"self",
",",
"outfd",
",",
"data",
")",
":",
"# TODO: Implement tree structure in JSON",
"if",
"data",
".",
"max_depth",
"(",
")",
">",
"1",
":",
"raise",
"NotImplementedError",
"(",
"\"JSON output for trees has not yet been implemented\"",
")",
... | https://github.com/gleeda/memtriage/blob/c24f4859995cccb9d88ccc0118d90693019cc1d5/volatility/volatility/renderers/html.py#L44-L51 | |
mikedh/trimesh | 6b1e05616b44e6dd708d9bc748b211656ebb27ec | trimesh/scene/scene.py | python | Scene.rezero | (self) | Move the current scene so that the AABB of the whole
scene is centered at the origin.
Does this by changing the base frame to a new, offset
base frame. | Move the current scene so that the AABB of the whole
scene is centered at the origin. | [
"Move",
"the",
"current",
"scene",
"so",
"that",
"the",
"AABB",
"of",
"the",
"whole",
"scene",
"is",
"centered",
"at",
"the",
"origin",
"."
] | def rezero(self):
"""
Move the current scene so that the AABB of the whole
scene is centered at the origin.
Does this by changing the base frame to a new, offset
base frame.
"""
if self.is_empty or np.allclose(self.centroid, 0.0):
# early exit since w... | [
"def",
"rezero",
"(",
"self",
")",
":",
"if",
"self",
".",
"is_empty",
"or",
"np",
".",
"allclose",
"(",
"self",
".",
"centroid",
",",
"0.0",
")",
":",
"# early exit since what we want already exists",
"return",
"# the transformation to move the overall scene to AABB ... | https://github.com/mikedh/trimesh/blob/6b1e05616b44e6dd708d9bc748b211656ebb27ec/trimesh/scene/scene.py#L725-L746 | ||
tribe29/checkmk | 6260f2512e159e311f426e16b84b19d0b8e9ad0c | cmk/gui/wsgi/applications/utils.py | python | load_single_global_wato_setting | (varname: str, deflt: Any = None) | return settings.get(varname, deflt) | Load a single config option from WATO globals (Only for special use)
This is a small hack to get access to the current configuration without
the need to load the whole GUI config.
The problem is: The profiling setting is needed before the GUI config
is loaded regularly. This is needed, because we want... | Load a single config option from WATO globals (Only for special use) | [
"Load",
"a",
"single",
"config",
"option",
"from",
"WATO",
"globals",
"(",
"Only",
"for",
"special",
"use",
")"
] | def load_single_global_wato_setting(varname: str, deflt: Any = None) -> Any:
"""Load a single config option from WATO globals (Only for special use)
This is a small hack to get access to the current configuration without
the need to load the whole GUI config.
The problem is: The profiling setting is n... | [
"def",
"load_single_global_wato_setting",
"(",
"varname",
":",
"str",
",",
"deflt",
":",
"Any",
"=",
"None",
")",
"->",
"Any",
":",
"settings",
"=",
"cmk",
".",
"utils",
".",
"store",
".",
"load_mk_file",
"(",
"cmk",
".",
"utils",
".",
"paths",
".",
"d... | https://github.com/tribe29/checkmk/blob/6260f2512e159e311f426e16b84b19d0b8e9ad0c/cmk/gui/wsgi/applications/utils.py#L159-L175 | |
CalebBell/fluids | dbbdd1d5ea3c458bd68dd8e21cf6281a0ec3fc80 | fluids/core.py | python | C2K | (C) | return C + zero_Celsius | Convert Celsius to Kelvin.
Parameters
----------
C : float
Celsius temperature to be converted, [degC]
Returns
-------
K : float
Equivalent Kelvin temperature, [K]
Notes
-----
Computes ``K = C + zero_Celsius`` where `zero_Celsius` = 273.15, i.e.,
(the absolute ... | Convert Celsius to Kelvin. | [
"Convert",
"Celsius",
"to",
"Kelvin",
"."
] | def C2K(C):
"""Convert Celsius to Kelvin.
Parameters
----------
C : float
Celsius temperature to be converted, [degC]
Returns
-------
K : float
Equivalent Kelvin temperature, [K]
Notes
-----
Computes ``K = C + zero_Celsius`` where `zero_Celsius` = 273.15, i.e.,... | [
"def",
"C2K",
"(",
"C",
")",
":",
"return",
"C",
"+",
"zero_Celsius"
] | https://github.com/CalebBell/fluids/blob/dbbdd1d5ea3c458bd68dd8e21cf6281a0ec3fc80/fluids/core.py#L2687-L2710 | |
sagemath/sage | f9b2db94f675ff16963ccdefba4f1a3393b3fe0d | src/sage/functions/min_max.py | python | MinMax_base.__call__ | (self, *args, **kwds) | EXAMPLES::
sage: max_symbolic(3, 5, x)
max(x, 5)
sage: max_symbolic(3, 5, x, hold=True)
max(3, 5, x)
sage: max_symbolic([3, 5, x])
max(x, 5)
::
sage: min_symbolic(3, 5, x)
min(x, 3)
sage: min_symbolic(... | EXAMPLES:: | [
"EXAMPLES",
"::"
] | def __call__(self, *args, **kwds):
"""
EXAMPLES::
sage: max_symbolic(3, 5, x)
max(x, 5)
sage: max_symbolic(3, 5, x, hold=True)
max(3, 5, x)
sage: max_symbolic([3, 5, x])
max(x, 5)
::
sage: min_symbolic(3, 5, x... | [
"def",
"__call__",
"(",
"self",
",",
"*",
"args",
",",
"*",
"*",
"kwds",
")",
":",
"if",
"len",
"(",
"args",
")",
"==",
"0",
":",
"raise",
"ValueError",
"(",
"\"number of arguments must be > 0\"",
")",
"if",
"len",
"(",
"args",
")",
"==",
"1",
":",
... | https://github.com/sagemath/sage/blob/f9b2db94f675ff16963ccdefba4f1a3393b3fe0d/src/sage/functions/min_max.py#L89-L152 | ||
entropy1337/infernal-twin | 10995cd03312e39a48ade0f114ebb0ae3a711bb8 | Modules/build/pip/build/lib.linux-i686-2.7/pip/_vendor/ipaddress.py | python | IPv6Address.sixtofour | (self) | return IPv4Address((self._ip >> 80) & 0xFFFFFFFF) | Return the IPv4 6to4 embedded address.
Returns:
The IPv4 6to4-embedded address if present or None if the
address doesn't appear to contain a 6to4 embedded address. | Return the IPv4 6to4 embedded address. | [
"Return",
"the",
"IPv4",
"6to4",
"embedded",
"address",
"."
] | def sixtofour(self):
"""Return the IPv4 6to4 embedded address.
Returns:
The IPv4 6to4-embedded address if present or None if the
address doesn't appear to contain a 6to4 embedded address.
"""
if (self._ip >> 112) != 0x2002:
return None
return... | [
"def",
"sixtofour",
"(",
"self",
")",
":",
"if",
"(",
"self",
".",
"_ip",
">>",
"112",
")",
"!=",
"0x2002",
":",
"return",
"None",
"return",
"IPv4Address",
"(",
"(",
"self",
".",
"_ip",
">>",
"80",
")",
"&",
"0xFFFFFFFF",
")"
] | https://github.com/entropy1337/infernal-twin/blob/10995cd03312e39a48ade0f114ebb0ae3a711bb8/Modules/build/pip/build/lib.linux-i686-2.7/pip/_vendor/ipaddress.py#L2156-L2166 | |
krintoxi/NoobSec-Toolkit | 38738541cbc03cedb9a3b3ed13b629f781ad64f6 | NoobSecToolkit - MAC OSX/tools/sqli/thirdparty/pagerank/pagerank.py | python | int_str | (string_, integer, factor) | return integer | [] | def int_str(string_, integer, factor):
for i in xrange(len(string_)) :
integer *= factor
integer &= 0xFFFFFFFF
integer += ord(string_[i])
return integer | [
"def",
"int_str",
"(",
"string_",
",",
"integer",
",",
"factor",
")",
":",
"for",
"i",
"in",
"xrange",
"(",
"len",
"(",
"string_",
")",
")",
":",
"integer",
"*=",
"factor",
"integer",
"&=",
"0xFFFFFFFF",
"integer",
"+=",
"ord",
"(",
"string_",
"[",
"... | https://github.com/krintoxi/NoobSec-Toolkit/blob/38738541cbc03cedb9a3b3ed13b629f781ad64f6/NoobSecToolkit - MAC OSX/tools/sqli/thirdparty/pagerank/pagerank.py#L29-L35 | |||
eggnogdb/eggnog-mapper | d6e6cdf0a829f2bd85480f3f3f16e38c213cd091 | eggnogmapper/annotation/orthologs.py | python | __load_orthology | (member, orthology) | return all_orthologs | [] | def __load_orthology(member, orthology):
all_orthologs = {
"one2one": set(),
"one2many": set(),
"many2many": set(),
"many2one": set(),
"all": set(),
} # each set contains a list of taxa.sequence items
# member
# e.g. 1041607.K0KSN3
# orthology
# k: (spec... | [
"def",
"__load_orthology",
"(",
"member",
",",
"orthology",
")",
":",
"all_orthologs",
"=",
"{",
"\"one2one\"",
":",
"set",
"(",
")",
",",
"\"one2many\"",
":",
"set",
"(",
")",
",",
"\"many2many\"",
":",
"set",
"(",
")",
",",
"\"many2one\"",
":",
"set",
... | https://github.com/eggnogdb/eggnog-mapper/blob/d6e6cdf0a829f2bd85480f3f3f16e38c213cd091/eggnogmapper/annotation/orthologs.py#L55-L110 | |||
cea-sec/Sibyl | 14866eb8ef3a65fcc4535faaf76eb42faf64d313 | sibyl/learn/learn.py | python | TestCreator.create_test | (self) | return self.create_test_from_trace() | Main function of the trace that is in charge of calling other methods in the right order
Return a string that correspong to the code of the test class | Main function of the trace that is in charge of calling other methods in the right order
Return a string that correspong to the code of the test class | [
"Main",
"function",
"of",
"the",
"trace",
"that",
"is",
"in",
"charge",
"of",
"calling",
"other",
"methods",
"in",
"the",
"right",
"order",
"Return",
"a",
"string",
"that",
"correspong",
"to",
"the",
"code",
"of",
"the",
"test",
"class"
] | def create_test(self):
"""
Main function of the trace that is in charge of calling other methods in the right order
Return a string that correspong to the code of the test class
"""
self.parse_types()
self.create_trace()
self.prune_snapshots()
self.cl... | [
"def",
"create_test",
"(",
"self",
")",
":",
"self",
".",
"parse_types",
"(",
")",
"self",
".",
"create_trace",
"(",
")",
"self",
".",
"prune_snapshots",
"(",
")",
"self",
".",
"clean_trace",
"(",
")",
"self",
".",
"test_trace",
"(",
")",
"assert",
"le... | https://github.com/cea-sec/Sibyl/blob/14866eb8ef3a65fcc4535faaf76eb42faf64d313/sibyl/learn/learn.py#L171-L191 | |
ssokolow/quicktile | ca8105dcdd08c26de0ce6b987958c15a88489de2 | quicktile/util.py | python | Rectangle.to_relative | (self, other_rect: 'Rectangle') | return self._replace(x=self.x - other_rect.x,
y=self.y - other_rect.y) | Interpret self as absolute and make it relative to ``other_rect``.
(eg. Convert a window position that's relative to the top-left corner
of the desktop as a whole into one that's relative to a single monitor)
This assumes top-left gravity.
:param other_rect: The reference frame to mak... | Interpret self as absolute and make it relative to ``other_rect``. | [
"Interpret",
"self",
"as",
"absolute",
"and",
"make",
"it",
"relative",
"to",
"other_rect",
"."
] | def to_relative(self, other_rect: 'Rectangle') -> 'Rectangle':
"""Interpret self as absolute and make it relative to ``other_rect``.
(eg. Convert a window position that's relative to the top-left corner
of the desktop as a whole into one that's relative to a single monitor)
This assume... | [
"def",
"to_relative",
"(",
"self",
",",
"other_rect",
":",
"'Rectangle'",
")",
"->",
"'Rectangle'",
":",
"return",
"self",
".",
"_replace",
"(",
"x",
"=",
"self",
".",
"x",
"-",
"other_rect",
".",
"x",
",",
"y",
"=",
"self",
".",
"y",
"-",
"other_rec... | https://github.com/ssokolow/quicktile/blob/ca8105dcdd08c26de0ce6b987958c15a88489de2/quicktile/util.py#L681-L694 | |
Pylons/webob | 259230aa2b8b9cf675c996e157c5cf021c256059 | src/webob/acceptparse.py | python | AcceptLanguageInvalidHeader.__str__ | (self) | return "<invalid header value>" | Return the ``str`` ``'<invalid header value>'``. | Return the ``str`` ``'<invalid header value>'``. | [
"Return",
"the",
"str",
"<invalid",
"header",
"value",
">",
"."
] | def __str__(self):
"""Return the ``str`` ``'<invalid header value>'``."""
return "<invalid header value>" | [
"def",
"__str__",
"(",
"self",
")",
":",
"return",
"\"<invalid header value>\""
] | https://github.com/Pylons/webob/blob/259230aa2b8b9cf675c996e157c5cf021c256059/src/webob/acceptparse.py#L5297-L5300 | |
lanmaster53/recon-ng | 9e907dfe09fce2997f0301d746796408e01a60b7 | recon/core/framework.py | python | Framework._do_script_status | (self, params) | Provides the status of command recording | Provides the status of command recording | [
"Provides",
"the",
"status",
"of",
"command",
"recording"
] | def _do_script_status(self, params):
'''Provides the status of command recording'''
status = 'started' if Framework._record else 'stopped'
self.output(f"Command recording is {status}.") | [
"def",
"_do_script_status",
"(",
"self",
",",
"params",
")",
":",
"status",
"=",
"'started'",
"if",
"Framework",
".",
"_record",
"else",
"'stopped'",
"self",
".",
"output",
"(",
"f\"Command recording is {status}.\"",
")"
] | https://github.com/lanmaster53/recon-ng/blob/9e907dfe09fce2997f0301d746796408e01a60b7/recon/core/framework.py#L1200-L1203 | ||
TarrySingh/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials | 5bb97d7e3ffd913abddb4cfa7d78a1b4c868890e | deep-learning/CapsNET/TensorFlow_Implementation/capsLayer.py | python | conv2d | (inputs,
filters,
vec_len,
kernel_size,
strides=(1, 1),
with_routing=False,
reuse=None) | return(layer(inputs, kernel_size=kernel_size, stride=strides)) | A capsule convolutional layer.(Note: not tested yet)
Args:
inputs: A tensor.
Returns:
...
Raises:
... | A capsule convolutional layer.(Note: not tested yet)
Args:
inputs: A tensor.
Returns:
...
Raises:
... | [
"A",
"capsule",
"convolutional",
"layer",
".",
"(",
"Note",
":",
"not",
"tested",
"yet",
")",
"Args",
":",
"inputs",
":",
"A",
"tensor",
".",
"Returns",
":",
"...",
"Raises",
":",
"..."
] | def conv2d(inputs,
filters,
vec_len,
kernel_size,
strides=(1, 1),
with_routing=False,
reuse=None):
'''A capsule convolutional layer.(Note: not tested yet)
Args:
inputs: A tensor.
Returns:
...
Raises:
..... | [
"def",
"conv2d",
"(",
"inputs",
",",
"filters",
",",
"vec_len",
",",
"kernel_size",
",",
"strides",
"=",
"(",
"1",
",",
"1",
")",
",",
"with_routing",
"=",
"False",
",",
"reuse",
"=",
"None",
")",
":",
"layer",
"=",
"CapsLayer",
"(",
"num_outputs",
"... | https://github.com/TarrySingh/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials/blob/5bb97d7e3ffd913abddb4cfa7d78a1b4c868890e/deep-learning/CapsNET/TensorFlow_Implementation/capsLayer.py#L195-L214 | |
pytrainer/pytrainer | 66f3e2b30b48c66e03111248faffc43b8e31c583 | extensions/gpx2garmin/gpx2garmin.py | python | gpx2garmin.exportGPX | (self) | return subprocess.call(cmd) | export the GPX file using gpsbabel | export the GPX file using gpsbabel | [
"export",
"the",
"GPX",
"file",
"using",
"gpsbabel"
] | def exportGPX(self):
' export the GPX file using gpsbabel '
cmd = ["gpsbabel", "-t", "-i", "gpx", "-f", self.tmpgpxfile, "-o", "garmin"]
if self.limit is not None:
cmd = cmd + ["-x", "simplify,count=%s" % self.limit]
cmd = cmd + ["-F", self.device]
return subprocess.c... | [
"def",
"exportGPX",
"(",
"self",
")",
":",
"cmd",
"=",
"[",
"\"gpsbabel\"",
",",
"\"-t\"",
",",
"\"-i\"",
",",
"\"gpx\"",
",",
"\"-f\"",
",",
"self",
".",
"tmpgpxfile",
",",
"\"-o\"",
",",
"\"garmin\"",
"]",
"if",
"self",
".",
"limit",
"is",
"not",
"... | https://github.com/pytrainer/pytrainer/blob/66f3e2b30b48c66e03111248faffc43b8e31c583/extensions/gpx2garmin/gpx2garmin.py#L26-L32 | |
PowerScript/KatanaFramework | 0f6ad90a88de865d58ec26941cb4460501e75496 | lib/future/src/future/types/newstr.py | python | newstr.encode | (self, encoding='utf-8', errors='strict') | return newbytes(super(newstr, self).encode(encoding, errors)) | Returns bytes
Encode S using the codec registered for encoding. Default encoding
is 'utf-8'. errors may be given to set a different error
handling scheme. Default is 'strict' meaning that encoding errors raise
a UnicodeEncodeError. Other possible values are 'ignore', 'replace' and
... | Returns bytes | [
"Returns",
"bytes"
] | def encode(self, encoding='utf-8', errors='strict'):
"""
Returns bytes
Encode S using the codec registered for encoding. Default encoding
is 'utf-8'. errors may be given to set a different error
handling scheme. Default is 'strict' meaning that encoding errors raise
a Un... | [
"def",
"encode",
"(",
"self",
",",
"encoding",
"=",
"'utf-8'",
",",
"errors",
"=",
"'strict'",
")",
":",
"from",
"future",
".",
"types",
".",
"newbytes",
"import",
"newbytes",
"# Py2 unicode.encode() takes encoding and errors as optional parameter,",
"# not keyword argu... | https://github.com/PowerScript/KatanaFramework/blob/0f6ad90a88de865d58ec26941cb4460501e75496/lib/future/src/future/types/newstr.py#L179-L218 | |
mpenning/ciscoconfparse | a6a176e6ceac7c5f3e974272fa70273476ba84a3 | ciscoconfparse/models_asa.py | python | BaseASAIntfLine.__repr__ | (self) | [] | def __repr__(self):
if not self.is_switchport:
if self.ipv4_addr_object == self.default_ipv4_addr_object:
addr = "No IPv4"
else:
addr = self.ipv4_addr_object
return "<%s # %s '%s' info: '%s'>" % (
self.classname,
... | [
"def",
"__repr__",
"(",
"self",
")",
":",
"if",
"not",
"self",
".",
"is_switchport",
":",
"if",
"self",
".",
"ipv4_addr_object",
"==",
"self",
".",
"default_ipv4_addr_object",
":",
"addr",
"=",
"\"No IPv4\"",
"else",
":",
"addr",
"=",
"self",
".",
"ipv4_ad... | https://github.com/mpenning/ciscoconfparse/blob/a6a176e6ceac7c5f3e974272fa70273476ba84a3/ciscoconfparse/models_asa.py#L150-L167 | ||||
sqall01/alertR | e1d1a83e54f876cc4cd7bd87387e05cb75d4dc13 | sensorClientWeatherService/lib/client/core.py | python | Connection.recv | (self,
buffsize: int,
timeout: Optional[float] = 20.0) | Receives data on the connection.
:param buffsize: how much data at max is received
:param timeout: timeout of the receiving call | Receives data on the connection.
:param buffsize: how much data at max is received
:param timeout: timeout of the receiving call | [
"Receives",
"data",
"on",
"the",
"connection",
".",
":",
"param",
"buffsize",
":",
"how",
"much",
"data",
"at",
"max",
"is",
"received",
":",
"param",
"timeout",
":",
"timeout",
"of",
"the",
"receiving",
"call"
] | def recv(self,
buffsize: int,
timeout: Optional[float] = 20.0) -> bytes:
"""
Receives data on the connection.
:param buffsize: how much data at max is received
:param timeout: timeout of the receiving call
"""
raise NotImplementedError("Abstract ... | [
"def",
"recv",
"(",
"self",
",",
"buffsize",
":",
"int",
",",
"timeout",
":",
"Optional",
"[",
"float",
"]",
"=",
"20.0",
")",
"->",
"bytes",
":",
"raise",
"NotImplementedError",
"(",
"\"Abstract class.\"",
")"
] | https://github.com/sqall01/alertR/blob/e1d1a83e54f876cc4cd7bd87387e05cb75d4dc13/sensorClientWeatherService/lib/client/core.py#L37-L45 | ||
realpython/book2-exercises | cde325eac8e6d8cff2316601c2e5b36bb46af7d0 | py2manager/gluon/highlight.py | python | Highlighter.highlight | (self, data) | return ''.join(self.output).expandtabs(4) | Syntax highlight some python code.
Returns html version of code. | Syntax highlight some python code.
Returns html version of code. | [
"Syntax",
"highlight",
"some",
"python",
"code",
".",
"Returns",
"html",
"version",
"of",
"code",
"."
] | def highlight(self, data):
"""
Syntax highlight some python code.
Returns html version of code.
"""
i = 0
mode = self.mode
while i < len(data):
for (token, o_re, style) in Highlighter.all_styles[mode][1]:
if not token in self.suppress_... | [
"def",
"highlight",
"(",
"self",
",",
"data",
")",
":",
"i",
"=",
"0",
"mode",
"=",
"self",
".",
"mode",
"while",
"i",
"<",
"len",
"(",
"data",
")",
":",
"for",
"(",
"token",
",",
"o_re",
",",
"style",
")",
"in",
"Highlighter",
".",
"all_styles",... | https://github.com/realpython/book2-exercises/blob/cde325eac8e6d8cff2316601c2e5b36bb46af7d0/py2manager/gluon/highlight.py#L201-L232 | |
django-oscar/django-oscar-accounts | 8a6dc3b42306979779f048b4d3ed0a9fd4a2f794 | src/oscar_accounts/api/views.py | python | TransferRefundsView.valid_payload | (self, payload) | return self.created(
reverse('oscar_accounts_api:transfer', kwargs={'reference': transfer.reference}),
transfer.as_dict()) | [] | def valid_payload(self, payload):
to_refund = get_object_or_404(Transfer,
reference=self.kwargs['reference'])
amount = payload['amount']
max_refund = to_refund.max_refund()
if amount > max_refund:
return self.forbidden(
("... | [
"def",
"valid_payload",
"(",
"self",
",",
"payload",
")",
":",
"to_refund",
"=",
"get_object_or_404",
"(",
"Transfer",
",",
"reference",
"=",
"self",
".",
"kwargs",
"[",
"'reference'",
"]",
")",
"amount",
"=",
"payload",
"[",
"'amount'",
"]",
"max_refund",
... | https://github.com/django-oscar/django-oscar-accounts/blob/8a6dc3b42306979779f048b4d3ed0a9fd4a2f794/src/oscar_accounts/api/views.py#L304-L326 | |||
explosion/thinc | 95d418925b25277a92291005318710b86b2bbb41 | thinc/model.py | python | Model.__truediv__ | (self, other: Any) | return self._context_operators.get()["/"](self, other) | Apply the function bound to the '/' operator. | Apply the function bound to the '/' operator. | [
"Apply",
"the",
"function",
"bound",
"to",
"the",
"/",
"operator",
"."
] | def __truediv__(self, other: Any) -> "Model":
"""Apply the function bound to the '/' operator."""
if "/" not in self._context_operators.get():
raise TypeError("Undefined operator: /")
return self._context_operators.get()["/"](self, other) | [
"def",
"__truediv__",
"(",
"self",
",",
"other",
":",
"Any",
")",
"->",
"\"Model\"",
":",
"if",
"\"/\"",
"not",
"in",
"self",
".",
"_context_operators",
".",
"get",
"(",
")",
":",
"raise",
"TypeError",
"(",
"\"Undefined operator: /\"",
")",
"return",
"self... | https://github.com/explosion/thinc/blob/95d418925b25277a92291005318710b86b2bbb41/thinc/model.py#L734-L738 | |
avatartwo/avatar2 | 21ba70e1aec71dc87cf948dc5f3644c96fe437c0 | avatar2/avatar2.py | python | Avatar.stop | (self) | Stop the thread which manages the asynchronous messages. | Stop the thread which manages the asynchronous messages. | [
"Stop",
"the",
"thread",
"which",
"manages",
"the",
"asynchronous",
"messages",
"."
] | def stop(self):
"""
Stop the thread which manages the asynchronous messages.
"""
self._close.set()
self.join() | [
"def",
"stop",
"(",
"self",
")",
":",
"self",
".",
"_close",
".",
"set",
"(",
")",
"self",
".",
"join",
"(",
")"
] | https://github.com/avatartwo/avatar2/blob/21ba70e1aec71dc87cf948dc5f3644c96fe437c0/avatar2/avatar2.py#L524-L529 | ||
sympy/sympy | d822fcba181155b85ff2b29fe525adbafb22b448 | sympy/combinatorics/rewritingsystem_fsm.py | python | StateMachine.add_state | (self, state_name, state_type=None, rh_rule=None) | Instantiate a state object and stores it in the 'states' dictionary.
Arguments:
state_name (instance of FreeGroupElement or string) -- name of the new states.
state_type (string) -- Denotes the type (accept/start/dead) of the state added.
rh_rule (instance of FreeGroupElemen... | Instantiate a state object and stores it in the 'states' dictionary. | [
"Instantiate",
"a",
"state",
"object",
"and",
"stores",
"it",
"in",
"the",
"states",
"dictionary",
"."
] | def add_state(self, state_name, state_type=None, rh_rule=None):
'''
Instantiate a state object and stores it in the 'states' dictionary.
Arguments:
state_name (instance of FreeGroupElement or string) -- name of the new states.
state_type (string) -- Denotes the type (acc... | [
"def",
"add_state",
"(",
"self",
",",
"state_name",
",",
"state_type",
"=",
"None",
",",
"rh_rule",
"=",
"None",
")",
":",
"new_state",
"=",
"State",
"(",
"state_name",
",",
"self",
",",
"state_type",
",",
"rh_rule",
")",
"self",
".",
"states",
"[",
"s... | https://github.com/sympy/sympy/blob/d822fcba181155b85ff2b29fe525adbafb22b448/sympy/combinatorics/rewritingsystem_fsm.py#L46-L57 | ||
learningequality/ka-lite | 571918ea668013dcf022286ea85eff1c5333fb8b | kalite/facility/views.py | python | facility_user_signup | (request) | return _facility_user(request, new_user=True, title=title) | Anyone can sign up, unless we have set the restricted flag | Anyone can sign up, unless we have set the restricted flag | [
"Anyone",
"can",
"sign",
"up",
"unless",
"we",
"have",
"set",
"the",
"restricted",
"flag"
] | def facility_user_signup(request):
"""
Anyone can sign up, unless we have set the restricted flag
"""
if getattr(request, "is_logged_in", False):
return HttpResponseRedirect(reverse("homepage"))
if settings.DISABLE_SELF_ADMIN:
# Users cannot create/edit their own data when UserRestr... | [
"def",
"facility_user_signup",
"(",
"request",
")",
":",
"if",
"getattr",
"(",
"request",
",",
"\"is_logged_in\"",
",",
"False",
")",
":",
"return",
"HttpResponseRedirect",
"(",
"reverse",
"(",
"\"homepage\"",
")",
")",
"if",
"settings",
".",
"DISABLE_SELF_ADMIN... | https://github.com/learningequality/ka-lite/blob/571918ea668013dcf022286ea85eff1c5333fb8b/kalite/facility/views.py#L51-L65 | |
openstack/trove | be86b79119d16ee77f596172f43b0c97cb2617bd | trove/cluster/models.py | python | validate_volume_size | (size) | Verify the volume size is within the maximum limit for Trove volumes. | Verify the volume size is within the maximum limit for Trove volumes. | [
"Verify",
"the",
"volume",
"size",
"is",
"within",
"the",
"maximum",
"limit",
"for",
"Trove",
"volumes",
"."
] | def validate_volume_size(size):
"""Verify the volume size is within the maximum limit for Trove volumes."""
if size is None:
raise exception.VolumeSizeNotSpecified()
max_size = CONF.max_accepted_volume_size
if int(size) > max_size:
msg = ("Volume 'size' cannot exceed maximum "
... | [
"def",
"validate_volume_size",
"(",
"size",
")",
":",
"if",
"size",
"is",
"None",
":",
"raise",
"exception",
".",
"VolumeSizeNotSpecified",
"(",
")",
"max_size",
"=",
"CONF",
".",
"max_accepted_volume_size",
"if",
"int",
"(",
"size",
")",
">",
"max_size",
":... | https://github.com/openstack/trove/blob/be86b79119d16ee77f596172f43b0c97cb2617bd/trove/cluster/models.py#L646-L655 | ||
PyThaiNLP/pythainlp | de38b8507bf0934540aa5094e5f7f57d7f67e2dc | pythainlp/augment/word2vec/thai2fit.py | python | Thai2fitAug.augment | (
self,
sentence: str,
n_sent: int = 1,
p: float = 0.7
) | return self.aug.augment(sentence, n_sent, p) | Text Augment using word2vec from Thai2Fit
:param str sentence: thai sentence
:param int n_sent: number sentence
:param float p: Probability of word
:return: list of text augment
:rtype: List[Tuple[str]]
:Example:
::
from pythainlp.augment.word2vec ... | Text Augment using word2vec from Thai2Fit | [
"Text",
"Augment",
"using",
"word2vec",
"from",
"Thai2Fit"
] | def augment(
self,
sentence: str,
n_sent: int = 1,
p: float = 0.7
) -> List[Tuple[str]]:
"""
Text Augment using word2vec from Thai2Fit
:param str sentence: thai sentence
:param int n_sent: number sentence
:param float p: Probability of word
... | [
"def",
"augment",
"(",
"self",
",",
"sentence",
":",
"str",
",",
"n_sent",
":",
"int",
"=",
"1",
",",
"p",
":",
"float",
"=",
"0.7",
")",
"->",
"List",
"[",
"Tuple",
"[",
"str",
"]",
"]",
":",
"return",
"self",
".",
"aug",
".",
"augment",
"(",
... | https://github.com/PyThaiNLP/pythainlp/blob/de38b8507bf0934540aa5094e5f7f57d7f67e2dc/pythainlp/augment/word2vec/thai2fit.py#L32-L57 | |
elastic/elasticsearch-py | 6ef1adfa3c840a84afda7369cd8e43ae7dc45cdb | elasticsearch/_sync/client/security.py | python | SecurityClient.clear_cached_roles | (
self,
*,
name: Any,
error_trace: Optional[bool] = None,
filter_path: Optional[Union[List[str], str]] = None,
human: Optional[bool] = None,
pretty: Optional[bool] = None,
) | return self._perform_request("POST", __target, headers=__headers) | Evicts roles from the native role cache.
`<https://www.elastic.co/guide/en/elasticsearch/reference/current/security-api-clear-role-cache.html>`_
:param name: Role name | Evicts roles from the native role cache. | [
"Evicts",
"roles",
"from",
"the",
"native",
"role",
"cache",
"."
] | def clear_cached_roles(
self,
*,
name: Any,
error_trace: Optional[bool] = None,
filter_path: Optional[Union[List[str], str]] = None,
human: Optional[bool] = None,
pretty: Optional[bool] = None,
) -> ObjectApiResponse[Any]:
"""
Evicts roles from... | [
"def",
"clear_cached_roles",
"(",
"self",
",",
"*",
",",
"name",
":",
"Any",
",",
"error_trace",
":",
"Optional",
"[",
"bool",
"]",
"=",
"None",
",",
"filter_path",
":",
"Optional",
"[",
"Union",
"[",
"List",
"[",
"str",
"]",
",",
"str",
"]",
"]",
... | https://github.com/elastic/elasticsearch-py/blob/6ef1adfa3c840a84afda7369cd8e43ae7dc45cdb/elasticsearch/_sync/client/security.py#L232-L265 | |
SiCKRAGE/SiCKRAGE | 45fb67c0c730fc22a34c695b5a62b11970621c53 | sickrage/libs/adba/aniDBmaper.py | python | AniDBMaper._getBitChain | (self, map, wanted) | return bit | Return an hex string with the correct bit set corresponding to the wanted fields in the map | Return an hex string with the correct bit set corresponding to the wanted fields in the map | [
"Return",
"an",
"hex",
"string",
"with",
"the",
"correct",
"bit",
"set",
"corresponding",
"to",
"the",
"wanted",
"fields",
"in",
"the",
"map"
] | def _getBitChain(self, map, wanted):
"""Return an hex string with the correct bit set corresponding to the wanted fields in the map
"""
bit = 0
for index, field in enumerate(map):
if field in wanted and field not in self.blacklist:
bit ^= 1 << len(map) - index... | [
"def",
"_getBitChain",
"(",
"self",
",",
"map",
",",
"wanted",
")",
":",
"bit",
"=",
"0",
"for",
"index",
",",
"field",
"in",
"enumerate",
"(",
"map",
")",
":",
"if",
"field",
"in",
"wanted",
"and",
"field",
"not",
"in",
"self",
".",
"blacklist",
"... | https://github.com/SiCKRAGE/SiCKRAGE/blob/45fb67c0c730fc22a34c695b5a62b11970621c53/sickrage/libs/adba/aniDBmaper.py#L48-L58 | |
simpeg/simpeg | d93145d768b5512621cdd75566b4a8175fee9ed3 | SimPEG/electromagnetics/natural_source/fields.py | python | Fields3DPrimarySecondary._e_px | (self, e_pxSolution, source_list) | return self._e_pxPrimary(e_pxSolution, source_list) + self._e_pxSecondary(
e_pxSolution, source_list
) | px polarization of electric field from source
:param numpy.ndarray e_pxSolution: px polarization that was solved for
:param list source_list: list of sources
:rtype: numpy.ndarray
:return: electric field as defined by the sources | px polarization of electric field from source | [
"px",
"polarization",
"of",
"electric",
"field",
"from",
"source"
] | def _e_px(self, e_pxSolution, source_list):
"""
px polarization of electric field from source
:param numpy.ndarray e_pxSolution: px polarization that was solved for
:param list source_list: list of sources
:rtype: numpy.ndarray
:return: electric field as defined by the s... | [
"def",
"_e_px",
"(",
"self",
",",
"e_pxSolution",
",",
"source_list",
")",
":",
"return",
"self",
".",
"_e_pxPrimary",
"(",
"e_pxSolution",
",",
"source_list",
")",
"+",
"self",
".",
"_e_pxSecondary",
"(",
"e_pxSolution",
",",
"source_list",
")"
] | https://github.com/simpeg/simpeg/blob/d93145d768b5512621cdd75566b4a8175fee9ed3/SimPEG/electromagnetics/natural_source/fields.py#L307-L318 | |
IntelLabs/coach | dea46ae0d22b0a0cd30b9fc138a4a2642e1b9d9d | rl_coach/architectures/network_wrapper.py | python | NetworkWrapper.update_target_network | (self, rate=1.0) | Copy weights: online network >>> target network
:param rate: the rate of copying the weights - 1 for copying exactly | Copy weights: online network >>> target network | [
"Copy",
"weights",
":",
"online",
"network",
">>>",
"target",
"network"
] | def update_target_network(self, rate=1.0):
"""
Copy weights: online network >>> target network
:param rate: the rate of copying the weights - 1 for copying exactly
"""
if self.target_network:
self.target_network.set_weights(self.online_network.get_weights(), rate) | [
"def",
"update_target_network",
"(",
"self",
",",
"rate",
"=",
"1.0",
")",
":",
"if",
"self",
".",
"target_network",
":",
"self",
".",
"target_network",
".",
"set_weights",
"(",
"self",
".",
"online_network",
".",
"get_weights",
"(",
")",
",",
"rate",
")"
... | https://github.com/IntelLabs/coach/blob/dea46ae0d22b0a0cd30b9fc138a4a2642e1b9d9d/rl_coach/architectures/network_wrapper.py#L109-L116 | ||
jwkvam/bowtie | 220cd41367a70f2e206db846278cb7b6fd3649eb | bowtie/_component.py | python | Event.__init__ | (self, name: str, uuid: int, getter: Optional[str] = None) | Create an event.
Parameters
----------
name : str
uuid : int
getter : str, optional | Create an event. | [
"Create",
"an",
"event",
"."
] | def __init__(self, name: str, uuid: int, getter: Optional[str] = None) -> None:
"""Create an event.
Parameters
----------
name : str
uuid : int
getter : str, optional
"""
self.name = name
self.uuid = uuid
self.getter = getter | [
"def",
"__init__",
"(",
"self",
",",
"name",
":",
"str",
",",
"uuid",
":",
"int",
",",
"getter",
":",
"Optional",
"[",
"str",
"]",
"=",
"None",
")",
"->",
"None",
":",
"self",
".",
"name",
"=",
"name",
"self",
".",
"uuid",
"=",
"uuid",
"self",
... | https://github.com/jwkvam/bowtie/blob/220cd41367a70f2e206db846278cb7b6fd3649eb/bowtie/_component.py#L30-L42 | ||
yuxiaokui/Intranet-Penetration | f57678a204840c83cbf3308e3470ae56c5ff514b | proxy/XX-Net/code/default/gae_proxy/server/lib/google/appengine/tools/bulkloader.py | python | RestoreLoader._translate_entity_proto | (self, entity_proto) | return entity_proto | Transform the ReferenceProperties of the given entity to fix app_id. | Transform the ReferenceProperties of the given entity to fix app_id. | [
"Transform",
"the",
"ReferenceProperties",
"of",
"the",
"given",
"entity",
"to",
"fix",
"app_id",
"."
] | def _translate_entity_proto(self, entity_proto):
"""Transform the ReferenceProperties of the given entity to fix app_id."""
entity_key = entity_proto.mutable_key()
entity_key.set_app(self.app_id)
original_entity_namespace = entity_key.name_space()
if self.namespace:
entity_key.set_name_space(s... | [
"def",
"_translate_entity_proto",
"(",
"self",
",",
"entity_proto",
")",
":",
"entity_key",
"=",
"entity_proto",
".",
"mutable_key",
"(",
")",
"entity_key",
".",
"set_app",
"(",
"self",
".",
"app_id",
")",
"original_entity_namespace",
"=",
"entity_key",
".",
"na... | https://github.com/yuxiaokui/Intranet-Penetration/blob/f57678a204840c83cbf3308e3470ae56c5ff514b/proxy/XX-Net/code/default/gae_proxy/server/lib/google/appengine/tools/bulkloader.py#L2925-L2947 | |
TEag1e/BurpCollector | 3ab69c472c3f74828eda5f6f9ad7c7a15cf2c179 | pymysql/protocol.py | python | MysqlPacket.read | (self, size) | return result | Read the first 'size' bytes in packet and advance cursor past them. | Read the first 'size' bytes in packet and advance cursor past them. | [
"Read",
"the",
"first",
"size",
"bytes",
"in",
"packet",
"and",
"advance",
"cursor",
"past",
"them",
"."
] | def read(self, size):
"""Read the first 'size' bytes in packet and advance cursor past them."""
result = self._data[self._position:(self._position+size)]
if len(result) != size:
error = ('Result length not requested length:\n'
'Expected=%s. Actual=%s. Position:... | [
"def",
"read",
"(",
"self",
",",
"size",
")",
":",
"result",
"=",
"self",
".",
"_data",
"[",
"self",
".",
"_position",
":",
"(",
"self",
".",
"_position",
"+",
"size",
")",
"]",
"if",
"len",
"(",
"result",
")",
"!=",
"size",
":",
"error",
"=",
... | https://github.com/TEag1e/BurpCollector/blob/3ab69c472c3f74828eda5f6f9ad7c7a15cf2c179/pymysql/protocol.py#L63-L75 | |
OctoPrint/OctoPrint | 4b12b0e6f06c3abfb31b1840a0605e2de8e911d2 | src/octoprint/_version.py | python | git_pieces_from_lookup | (lookup, root, verbose, run_command=run_command) | Extract version information based on provided lookup data. | Extract version information based on provided lookup data. | [
"Extract",
"version",
"information",
"based",
"on",
"provided",
"lookup",
"data",
"."
] | def git_pieces_from_lookup(lookup, root, verbose, run_command=run_command):
"""Extract version information based on provided lookup data."""
GITS = ["git"]
if sys.platform == "win32":
GITS = ["git.cmd", "git.exe"]
stdout = run_command(GITS, ["rev-parse", "--abbrev-ref", "HEAD"], cwd=root)
i... | [
"def",
"git_pieces_from_lookup",
"(",
"lookup",
",",
"root",
",",
"verbose",
",",
"run_command",
"=",
"run_command",
")",
":",
"GITS",
"=",
"[",
"\"git\"",
"]",
"if",
"sys",
".",
"platform",
"==",
"\"win32\"",
":",
"GITS",
"=",
"[",
"\"git.cmd\"",
",",
"... | https://github.com/OctoPrint/OctoPrint/blob/4b12b0e6f06c3abfb31b1840a0605e2de8e911d2/src/octoprint/_version.py#L377-L439 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.