Search is not available for this dataset
id int64 0 10.8M | vector listlengths 1.54k 1.54k | ast_depth int64 3 164 | ast_data stringlengths 297 510k | full_path stringlengths 0 319 | code stringlengths 60 56.5k |
|---|---|---|---|---|---|
17,301 | [
-0.007817060686647892,
0.024976316839456558,
0.03526349738240242,
-0.0486607551574707,
0.0033014672808349133,
0.05861300602555275,
0.01234461646527052,
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0.01693796180188656,
0.026985906064510345,
0.03217734396457672,
-0.016292022541165352,
-0.010149619542062283,
0.0321... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "root_module", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "cls", "annotation": null, "type_comment": null}}], "kwarg"... | def register_Ns3LogComponent_methods(root_module, cls):
## log.h (module 'core'): ns3::LogComponent::LogComponent(ns3::LogComponent const & arg0) [copy constructor]
cls.add_constructor([param('ns3::LogComponent const &', 'arg0')])
## log.h (module 'core'): ns3::LogComponent::LogComponent(std::string const &... | |
17,302 | [
0.039942752569913864,
0.03760281205177307,
0.04317186772823334,
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0.00913746003061533,
0.02308349497616291,
0.02378547564148903,
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0.01519790105521679,
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0.017760133370757103,
-0.0093305055052042,
-0.03603505343198776,
0.0251309... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "root_module", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "cls", "annotation": null, "type_comment": null}}], "kwarg"... | def register_Ns3RngStream_methods(root_module, cls):
## rng-stream.h (module 'core'): ns3::RngStream::RngStream(uint32_t seed, uint64_t stream, uint64_t substream) [constructor]
cls.add_constructor([param('uint32_t', 'seed'), param('uint64_t', 'stream'), param('uint64_t', 'substream')])
## rng-stream.h (mod... | |
17,303 | [
0.003961210139095783,
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0.05774995684623718,
-0.04239040985703468,
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0.035013943910598755,
0.056633781641721725,
-0.026497038081288338,
0.005614242050796747,
0.002029134426265955,
0.022068733349442482,
0.0029299610760062933,
-0.03622717782855034,
... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "root_module", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "cls", "annotation": null, "type_comment": null}}], "kwarg"... | def register_Ns3RandomVariable_methods(root_module, cls):
cls.add_output_stream_operator()
## random-variable.h (module 'core'): ns3::RandomVariable::RandomVariable() [constructor]
cls.add_constructor([])
## random-variable.h (module 'core'): ns3::RandomVariable::RandomVariable(ns3::RandomVariable const... | |
17,304 | [
-0.010175901465117931,
-0.018004436045885086,
0.037915363907814026,
-0.022675340995192528,
-0.0004189069732092321,
0.040346138179302216,
0.03689062222838402,
-0.029669784009456635,
0.010289099998772144,
0.0198751799762249,
-0.0021358670201152563,
0.005811822135001421,
0.0009048390202224255,
... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "root_module", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "cls", "annotation": null, "type_comment": null}}], "kwarg"... | def register_Ns3TriangularVariable_methods(root_module, cls):
## random-variable.h (module 'core'): ns3::TriangularVariable::TriangularVariable(ns3::TriangularVariable const & arg0) [copy constructor]
cls.add_constructor([param('ns3::TriangularVariable const &', 'arg0')])
## random-variable.h (module 'core'... | |
17,305 | [
-0.004688902758061886,
-0.017230268567800522,
0.020695846527814865,
-0.03519270196557045,
-0.00339236157014966,
0.04461321607232094,
0.022221188992261887,
-0.011128898710012436,
0.00367607525549829,
0.012306462973356247,
0.019719626754522324,
-0.01858477294445038,
-0.0398053340613842,
-0.0... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "root_module", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "cls", "annotation": null, "type_comment": null}}], "kwarg"... | def register_Ns3SequentialVariable_methods(root_module, cls):
## random-variable.h (module 'core'): ns3::SequentialVariable::SequentialVariable(ns3::SequentialVariable const & arg0) [copy constructor]
cls.add_constructor([param('ns3::SequentialVariable const &', 'arg0')])
## random-variable.h (module 'core'... | |
17,306 | [
-0.020680585876107216,
-0.010820942930877209,
0.0343032106757164,
-0.04568701982498169,
-0.015304897911846638,
0.027371736243367195,
0.023058537393808365,
-0.02066793665289879,
0.014305653050541878,
0.013394948095083237,
0.017505768686532974,
0.0024143161717802286,
-0.014267707243561745,
0... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "root_module", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "cls", "annotation": null, "type_comment": null}}], "kwarg"... | def register_Ns3UniformVariable_methods(root_module, cls):
## random-variable.h (module 'core'): ns3::UniformVariable::UniformVariable(ns3::UniformVariable const & arg0) [copy constructor]
cls.add_constructor([param('ns3::UniformVariable const &', 'arg0')])
## random-variable.h (module 'core'): ns3::Uniform... | |
17,307 | [
0.0133614307269454,
0.034598831087350845,
0.05880415439605713,
-0.06254581362009048,
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0.05935847386717796,
0.03256632015109062,
-0.026284024119377136,
0.02152610756456852,
0.030094977468252182,
-0.0067326826974749565,
-0.0029967944137752056,
-0.01852353848516941,
0.01... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "root_module", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "cls", "annotation": null, "type_comment": null}}], "kwarg"... | def register_Ns3Vector2D_methods(root_module, cls):
cls.add_output_stream_operator()
## vector.h (module 'core'): ns3::Vector2D::Vector2D(ns3::Vector2D const & arg0) [copy constructor]
cls.add_constructor([param('ns3::Vector2D const &', 'arg0')])
## vector.h (module 'core'): ns3::Vector2D::Vector2D(doub... | |
17,308 | [
0.010718095116317272,
0.013921566307544708,
0.05946245789527893,
-0.0258795116096735,
-0.03222351521253586,
0.023890716955065727,
0.060821887105703354,
-0.019799839705228806,
0.00856566522270441,
0.029982974752783775,
-0.013355136848986149,
-0.004462201613932848,
-0.0319717712700367,
-0.00... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "root_module", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "cls", "annotation": null, "type_comment": null}}], "kwarg"... | def register_Ns3WeibullVariable_methods(root_module, cls):
## random-variable.h (module 'core'): ns3::WeibullVariable::WeibullVariable(ns3::WeibullVariable const & arg0) [copy constructor]
cls.add_constructor([param('ns3::WeibullVariable const &', 'arg0')])
## random-variable.h (module 'core'): ns3::Weibull... | |
17,309 | [
0.01486189104616642,
0.044867414981126785,
0.053249239921569824,
-0.062311943620443344,
-0.0005095568485558033,
0.0524040162563324,
0.03589862957596779,
-0.025967221707105637,
0.02235153317451477,
0.01261969469487667,
-0.0010073744924739003,
0.010148582048714161,
-0.019451938569545746,
0.0... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "root_module", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "cls", "annotation": null, "type_comment": null}}], "kwarg"... | def register_Ns3Vector3D_methods(root_module, cls):
cls.add_output_stream_operator()
## vector.h (module 'core'): ns3::Vector3D::Vector3D(ns3::Vector3D const & arg0) [copy constructor]
cls.add_constructor([param('ns3::Vector3D const &', 'arg0')])
## vector.h (module 'core'): ns3::Vector3D::Vector3D(doub... | |
17,310 | [
0.001727709430269897,
0.019438257440924644,
0.025054840371012688,
-0.015347921289503574,
-0.024200143292546272,
0.042734865099191666,
0.038095079362392426,
-0.01979234628379345,
-0.007344291545450687,
0.0063125500455498695,
-0.0013079920317977667,
0.0012660203501582146,
-0.000833329861052334... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "root_module", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "cls", "annotation": null, "type_comment": null}}], "kwarg"... | def register_Ns3ZetaVariable_methods(root_module, cls):
## random-variable.h (module 'core'): ns3::ZetaVariable::ZetaVariable(ns3::ZetaVariable const & arg0) [copy constructor]
cls.add_constructor([param('ns3::ZetaVariable const &', 'arg0')])
## random-variable.h (module 'core'): ns3::ZetaVariable::ZetaVari... | |
17,311 | [
-0.004363103304058313,
0.01608854904770851,
0.03558675944805145,
-0.026974206790328026,
-0.021013613790273666,
0.03296005725860596,
0.013714414089918137,
-0.010481550358235836,
-0.0036338146310299635,
-0.005351273342967033,
0.011858043260872364,
0.005543856415897608,
-0.015343474224209785,
... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "root_module", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "cls", "annotation": null, "type_comment": null}}], "kwarg"... | def register_Ns3ZipfVariable_methods(root_module, cls):
## random-variable.h (module 'core'): ns3::ZipfVariable::ZipfVariable(ns3::ZipfVariable const & arg0) [copy constructor]
cls.add_constructor([param('ns3::ZipfVariable const &', 'arg0')])
## random-variable.h (module 'core'): ns3::ZipfVariable::ZipfVari... | |
17,312 | [
0.0037770806811749935,
-0.003887907136231661,
0.04159880802035332,
-0.017600417137145996,
-0.015539647080004215,
0.04802074283361435,
0.04902716726064682,
-0.015587572008371353,
0.02072751708328724,
0.022464795038104057,
0.019852887839078903,
-0.016294464468955994,
-0.0015845168381929398,
... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "root_module", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "cls", "annotation": null, "type_comment": null}}], "kwarg"... | def register_Ns3EmpiricalVariable_methods(root_module, cls):
## random-variable.h (module 'core'): ns3::EmpiricalVariable::EmpiricalVariable(ns3::EmpiricalVariable const & arg0) [copy constructor]
cls.add_constructor([param('ns3::EmpiricalVariable const &', 'arg0')])
## random-variable.h (module 'core'): ns... | |
17,313 | [
0.002157439012080431,
-0.006338238716125488,
0.03405584394931793,
-0.02194005809724331,
-0.02117215469479561,
0.04424578323960304,
0.04709798842668533,
-0.032008104026317596,
0.017503289505839348,
0.0116465138271451,
0.008379883132874966,
-0.01145149115473032,
-0.008184860460460186,
0.0074... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "root_module", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "cls", "annotation": null, "type_comment": null}}], "kwarg"... | def register_Ns3ConstantVariable_methods(root_module, cls):
## random-variable.h (module 'core'): ns3::ConstantVariable::ConstantVariable(ns3::ConstantVariable const & arg0) [copy constructor]
cls.add_constructor([param('ns3::ConstantVariable const &', 'arg0')])
## random-variable.h (module 'core'): ns3::Co... | |
17,314 | [
-0.006547710858285427,
0.0014368498232215643,
0.032270632684230804,
-0.03596239164471626,
0.0020604797173291445,
0.03048929199576378,
0.026152119040489197,
-0.0027317090425640345,
-0.01312123890966177,
0.024215880781412125,
0.01978835090994835,
-0.029301732778549194,
-0.011836867779493332,
... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "root_module", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "cls", "annotation": null, "type_comment": null}}], "kwarg"... | def register_Ns3ErlangVariable_methods(root_module, cls):
## random-variable.h (module 'core'): ns3::ErlangVariable::ErlangVariable(ns3::ErlangVariable const & arg0) [copy constructor]
cls.add_constructor([param('ns3::ErlangVariable const &', 'arg0')])
## random-variable.h (module 'core'): ns3::ErlangVariab... | |
17,315 | [
0.016805732622742653,
-0.004521369468420744,
0.03421511873602867,
-0.03102782368659973,
-0.02396507002413273,
0.040734581649303436,
0.036388274282217026,
-0.007479275111109018,
0.007533603813499212,
0.02974807657301426,
-0.006130108144134283,
-0.021997157484292984,
-0.0017747431993484497,
... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "root_module", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "cls", "annotation": null, "type_comment": null}}], "kwarg"... | def register_Ns3ExponentialVariable_methods(root_module, cls):
## random-variable.h (module 'core'): ns3::ExponentialVariable::ExponentialVariable(ns3::ExponentialVariable const & arg0) [copy constructor]
cls.add_constructor([param('ns3::ExponentialVariable const &', 'arg0')])
## random-variable.h (module '... | |
17,316 | [
0.010000900365412235,
0.02023128978908062,
0.032925669103860855,
-0.034254290163517,
-0.018963059410452843,
0.03461664170026779,
0.04609110578894615,
-0.026065148413181305,
0.009173531085252762,
0.018226278945803642,
-0.012048185802996159,
-0.011661677621304989,
-0.01642659865319729,
0.019... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "root_module", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "cls", "annotation": null, "type_comment": null}}], "kwarg"... | def register_Ns3NormalVariable_methods(root_module, cls):
## random-variable.h (module 'core'): ns3::NormalVariable::NormalVariable(ns3::NormalVariable const & arg0) [copy constructor]
cls.add_constructor([param('ns3::NormalVariable const &', 'arg0')])
## random-variable.h (module 'core'): ns3::NormalVariab... | |
17,317 | [
-0.012718510814011097,
0.012485929764807224,
0.0402977280318737,
-0.01940215565264225,
-0.03407924249768257,
0.035988856106996536,
0.034519921988248825,
-0.041913554072380066,
0.005474835634231567,
0.016170503571629524,
0.014126238413155079,
0.0030663975048810244,
-0.013269361108541489,
0.... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "root_module", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "cls", "annotation": null, "type_comment": null}}], "kwarg"... | def register_Ns3GammaVariable_methods(root_module, cls):
## random-variable.h (module 'core'): ns3::GammaVariable::GammaVariable(ns3::GammaVariable const & arg0) [copy constructor]
cls.add_constructor([param('ns3::GammaVariable const &', 'arg0')])
## random-variable.h (module 'core'): ns3::GammaVariable::Ga... | |
17,318 | [
-0.004735693801194429,
0.006543867290019989,
0.025142228230834007,
-0.036533404141664505,
-0.025486642494797707,
0.031175851821899414,
0.03893154859542847,
-0.0028589556459337473,
0.00221477379091084,
-0.006438629701733589,
-0.001368089229799807,
-0.018088117241859436,
0.006467331200838089,
... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "root_module", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "cls", "annotation": null, "type_comment": null}}], "kwarg"... | def register_Ns3ParetoVariable_methods(root_module, cls):
## random-variable.h (module 'core'): ns3::ParetoVariable::ParetoVariable(ns3::ParetoVariable const & arg0) [copy constructor]
cls.add_constructor([param('ns3::ParetoVariable const &', 'arg0')])
## random-variable.h (module 'core'): ns3::ParetoVariab... | |
17,319 | [
-0.02052115648984909,
0.02980394847691059,
0.040819525718688965,
-0.033987391740083694,
-0.009035250172019005,
0.06663806736469269,
0.03297247365117073,
-0.00546756386756897,
0.008026519790291786,
0.009876890107989311,
0.029457390308380127,
-0.048196252435445786,
0.007519060745835304,
0.02... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "root_module", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "cls", "annotation": null, "type_comment": null}}], "kwarg"... | def register_Ns3Object_methods(root_module, cls):
## object.h (module 'core'): ns3::Object::Object() [constructor]
cls.add_constructor([])
## object.h (module 'core'): void ns3::Object::AggregateObject(ns3::Ptr<ns3::Object> other) [member function]
cls.add_method('AggregateObject',
'... | |
17,320 | [
-0.028623003512620926,
0.026913395151495934,
0.031368739902973175,
-0.047765444964170456,
-0.015127452090382576,
0.02225082367658615,
-0.001958927372470498,
-0.02253575809299946,
0.029710937291383743,
0.0016553745372220874,
0.02019152231514454,
-0.04242939502000809,
0.01999724842607975,
0.... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "root_module", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "cls", "annotation": null, "type_comment": null}}], "kwarg"... | def register_Ns3SimulatorImpl_methods(root_module, cls):
## simulator-impl.h (module 'core'): ns3::SimulatorImpl::SimulatorImpl() [constructor]
cls.add_constructor([])
## simulator-impl.h (module 'core'): ns3::SimulatorImpl::SimulatorImpl(ns3::SimulatorImpl const & arg0) [copy constructor]
cls.add_const... | |
17,321 | [
-0.0512983575463295,
0.023421017453074455,
0.03646082803606987,
-0.05995780602097511,
0.028687581419944763,
0.048006754368543625,
0.015267970971763134,
-0.048943597823381424,
0.024446478113532066,
0.01088760793209076,
0.02663666009902954,
-0.005801449529826641,
-0.026180898770689964,
0.010... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "root_module", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "cls", "annotation": null, "type_comment": null}}], "kwarg"... | def register_Ns3Time_methods(root_module, cls):
cls.add_binary_numeric_operator('+', root_module['ns3::Time'], root_module['ns3::Time'], param('ns3::Time const &', 'right'))
cls.add_binary_numeric_operator('-', root_module['ns3::Time'], root_module['ns3::Time'], param('ns3::Time const &', 'right'))
cls.add_... | |
17,322 | [
-0.006968091242015362,
0.010419817641377449,
0.028984157368540764,
-0.046565983444452286,
-0.007368853781372309,
0.04139485955238342,
0.019598565995693207,
-0.07425735890865326,
0.0255841426551342,
-0.0015093222027644515,
0.0004110640729777515,
0.014931624755263329,
-0.026941563934087753,
... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "root_module", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "cls", "annotation": null, "type_comment": null}}], "kwarg"... | def register_Ns3WallClockSynchronizer_methods(root_module, cls):
## wall-clock-synchronizer.h (module 'core'): ns3::WallClockSynchronizer::WallClockSynchronizer(ns3::WallClockSynchronizer const & arg0) [copy constructor]
cls.add_constructor([param('ns3::WallClockSynchronizer const &', 'arg0')])
## wall-cloc... | |
17,323 | [
-0.03778200224041939,
0.03216781094670296,
0.0348990373313427,
-0.034165654331445694,
-0.010811115615069866,
0.02186247706413269,
0.0034867427311837673,
-0.03411507606506348,
0.02688237465918064,
-0.01286585908383131,
0.007681581657379866,
-0.04491354525089264,
0.025276513770222664,
0.0112... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "root_module", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "cls", "annotation": null, "type_comment": null}}], "kwarg"... | def register_Ns3DefaultSimulatorImpl_methods(root_module, cls):
## default-simulator-impl.h (module 'core'): ns3::DefaultSimulatorImpl::DefaultSimulatorImpl(ns3::DefaultSimulatorImpl const & arg0) [copy constructor]
cls.add_constructor([param('ns3::DefaultSimulatorImpl const &', 'arg0')])
## default-simulat... | |
17,324 | [
-0.014909930527210236,
0.025318259373307228,
0.028180550783872604,
-0.04368896037340164,
-0.010837672278285027,
0.02937750704586506,
-0.015209170058369637,
-0.025890717282891273,
0.017681147903203964,
-0.0014433424221351743,
0.029169341549277306,
-0.017915336415171623,
0.03104284033179283,
... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "root_module", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "cls", "annotation": null, "type_comment": null}}], "kwarg"... | def register_Ns3RealtimeSimulatorImpl_methods(root_module, cls):
## realtime-simulator-impl.h (module 'core'): ns3::RealtimeSimulatorImpl::RealtimeSimulatorImpl(ns3::RealtimeSimulatorImpl const & arg0) [copy constructor]
cls.add_constructor([param('ns3::RealtimeSimulatorImpl const &', 'arg0')])
## realtime-... | |
17,325 | [
0.009308391250669956,
-0.012143942527472973,
0.02956991083920002,
-0.035818737000226974,
0.0049695842899382114,
0.03223450481891632,
0.04529808461666107,
-0.02289663814008236,
-0.0014413563767448068,
0.00274859881028533,
0.0475146509706974,
0.0022814106196165085,
-0.027636311948299408,
0.0... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "root_module", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "cls", "annotation": null, "type_comment": null}}], "kwarg"... | def register_Ns3RandomVariableValue_methods(root_module, cls):
## random-variable.h (module 'core'): ns3::RandomVariableValue::RandomVariableValue() [constructor]
cls.add_constructor([])
## random-variable.h (module 'core'): ns3::RandomVariableValue::RandomVariableValue(ns3::RandomVariableValue const & arg0... | |
17,326 | [
-0.047951508313417435,
0.040781471878290176,
0.05291305109858513,
-0.03926880657672882,
0.017562050372362137,
0.015459445305168629,
-0.0342165008187294,
-0.024172401055693626,
0.042536165565252304,
0.01790996454656124,
0.030767623335123062,
-0.009605428203940392,
0.007343992590904236,
0.02... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "root_module", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyar... | def register_functions(root_module):
module = root_module
## nstime.h (module 'core'): ns3::Time ns3::Abs(ns3::Time const & time) [free function]
module.add_function('Abs',
'ns3::Time',
[param('ns3::Time const &', 'time')])
## int64x64.h (module 'core'):... | |
17,327 | [
-0.011127631179988384,
-0.025121470913290977,
0.047182194888591766,
-0.028662079945206642,
0.01963547058403492,
0.01285902876406908,
0.008436508476734161,
-0.015576089732348919,
0.020802704617381096,
0.01499247271567583,
0.01855902187526226,
-0.027391092851758003,
-0.013980870135128498,
0.... | 12 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "use_resource", "annota... | class ProximalAdagradOptimizerTest(test.TestCase):
def doTestProximalAdagradwithoutRegularization(self, use_resource=False):
with self.cached_session() as sess:
var0 = variables.Variable([0.0, 0.0])
var1 = variables.Variable([0.0, 0.0])
grads0 = constant_op.constant([0.1, 0.2])
grads1 = c... | |
17,328 | [
-0.006472681649029255,
-0.009019995108246803,
0.04404635727405548,
-0.030914684757590294,
-0.015071871690452099,
0.03189120814204216,
0.01648526079952717,
-0.014031103812158108,
0.032919127494096756,
0.031094569712877274,
0.035540323704481125,
-0.0325593538582325,
-0.017076315358281136,
-0... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def testProximalAdagradwithoutRegularization2(self):
with self.cached_session() as sess:
var0 = variables.Variable([1.0, 2.0])
var1 = variables.Variable([4.0, 3.0])
grads0 = constant_op.constant([0.1, 0.2])
grads1 = constant_op.constant([0.01, 0.02])
opt = proximal_adagrad.ProximalAda... | |
17,329 | [
-0.016724729910492897,
0.008152485825121403,
0.03869643434882164,
-0.02948799543082714,
-0.0035449869465082884,
0.0176298338919878,
0.002187332371249795,
-0.02654968947172165,
0.033711809664964676,
0.01520310714840889,
0.02875341847538948,
-0.035522013902664185,
-0.008277101442217827,
0.00... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "use_resource", "annotation": null, "type_comment": null}}], "kwar... | def doTestProximalAdagradwithoutRegularization(self, use_resource=False):
with self.cached_session() as sess:
var0 = variables.Variable([0.0, 0.0])
var1 = variables.Variable([0.0, 0.0])
grads0 = constant_op.constant([0.1, 0.2])
grads1 = constant_op.constant([0.01, 0.02])
opt = proximal... | |
17,330 | [
-0.007135862018913031,
-0.03003113530576229,
0.05512011796236038,
-0.03885640576481819,
0.0030573259573429823,
0.0054180859588086605,
0.009499773383140564,
-0.012046494521200657,
0.023828230798244476,
0.009657368063926697,
0.023941699415445328,
-0.025757182389497757,
-0.025315919890999794,
... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def testProximalAdagradWithL1(self):
with self.cached_session() as sess:
var0 = variables.Variable([1.0, 2.0])
var1 = variables.Variable([4.0, 3.0])
grads0 = constant_op.constant([0.1, 0.2])
grads1 = constant_op.constant([0.01, 0.02])
opt = proximal_adagrad.ProximalAdagradOptimizer(
... | |
17,331 | [
-0.01014834176748991,
0.0326988585293293,
0.023452050983905792,
-0.026924172416329384,
-0.01666618511080742,
0.003086838172748685,
0.04346852749586105,
-0.003904614131897688,
0.04027661308646202,
-0.027776973322033882,
0.04127560928463936,
0.0029573950450867414,
-0.02451196126639843,
0.020... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def testMinimizeSparseResourceVariable(self):
for dtype in [dtypes.float32, dtypes.float64]:
with self.cached_session():
var0 = resource_variable_ops.ResourceVariable([[1.0, 2.0]], dtype=dtype)
x = constant_op.constant([[4.0], [5.0]], dtype=dtype)
pred = math_ops.matmul(embedding_ops.e... | |
17,332 | [
-0.019862420856952667,
-0.027727890759706497,
0.0038393852300941944,
-0.05401036515831947,
-0.020452631637454033,
-0.010057684034109116,
0.0264270156621933,
-0.025800669565796852,
-0.002902876352891326,
0.01798338070511818,
0.03512360155582428,
-0.03982120007276535,
-0.015791166573762894,
... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "opt", "annotation": null, "type_comment": null}}, {"_type": "arg"... | def applyOptimizer(self, opt, steps=5, is_sparse=False):
if is_sparse:
var0 = variables.Variable([[1.0], [2.0]])
var1 = variables.Variable([[3.0], [4.0]])
grads0 = ops.IndexedSlices(
constant_op.constant(
[0.1], shape=[1, 1]),
constant_op.constant([0]),
... | |
17,333 | [
-0.00791028793901205,
-0.03309880569577217,
0.05114355683326721,
-0.03988443687558174,
-0.004388670437037945,
0.008563718758523464,
0.009713506326079369,
-0.010932407341897488,
0.021525532007217407,
0.013860281556844711,
0.020193537697196007,
-0.027318451553583145,
-0.025232497602701187,
-... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def testProximalAdagradWithL1_L2(self):
with self.cached_session() as sess:
var0 = variables.Variable([1.0, 2.0])
var1 = variables.Variable([4.0, 3.0])
grads0 = constant_op.constant([0.1, 0.2])
grads1 = constant_op.constant([0.01, 0.02])
opt = proximal_adagrad.ProximalAdagradOptimizer... | |
17,334 | [
0.002360922982916236,
-0.038294821977615356,
0.04210066422820091,
-0.02671181969344616,
0.009065471589565277,
0.03673466295003891,
0.030115803703665733,
-0.03186507150530815,
0.026026295498013496,
0.0291229747235775,
0.01933651976287365,
-0.01978565752506256,
-0.02898114174604416,
0.063446... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def testEquivSparseAdagradwithoutRegularization(self):
with self.cached_session():
val0, val1 = self.applyOptimizer(
proximal_adagrad.ProximalAdagradOptimizer(
3.0,
initial_accumulator_value=0.1,
l1_regularization_strength=0.0,
l2_regularizatio... | |
17,335 | [
0.008088760077953339,
-0.02655935473740101,
0.046189084649086,
-0.01917615719139576,
0.007509191520512104,
0.035555265843868256,
0.029986368492245674,
-0.023359129205346107,
0.023107143118977547,
0.033060599118471146,
0.02905401960015297,
-0.029356403276324272,
-0.02726491540670395,
0.0410... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def testEquivAdagradwithoutRegularization(self):
with self.cached_session():
val0, val1 = self.applyOptimizer(
proximal_adagrad.ProximalAdagradOptimizer(
3.0,
initial_accumulator_value=0.1,
l1_regularization_strength=0.0,
l2_regularization_stre... | |
17,336 | [
-0.007720060180872679,
-0.014569777064025402,
0.03874724358320236,
0.00991852581501007,
-0.01831112429499626,
0.020583059638738632,
0.008935149759054184,
-0.015632273629307747,
-0.009963737800717354,
0.006578440777957439,
-0.006770594511181116,
-0.0563349649310112,
-0.002919041784480214,
0... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"a... | def test_bad_estimator():
# test grid-search with clustering algorithm which doesn't support
# "predict"
sc = SpectralClustering()
grid_search = GridSearchCV(sc, param_grid=dict(gamma=[.1, 1, 10]),
scoring='ari')
assert_raise_message(TypeError, "'score' or a 'predict'"... | |
17,337 | [
0.026539310812950134,
0.031032975763082504,
-0.01969870924949646,
0.0071631669998168945,
0.004029281437397003,
-0.02827448770403862,
0.01462665293365717,
-0.056059569120407104,
0.006128734443336725,
0.04291226342320442,
0.006334508769214153,
-0.061799000948667526,
0.006039751227945089,
0.0... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"a... | def test_grid_search_no_score():
# Test grid-search on classifier that has no score function.
clf = LinearSVC(random_state=0)
X, y = make_blobs(random_state=0, centers=2)
Cs = [.1, 1, 10]
clf_no_score = LinearSVCNoScore(random_state=0)
grid_search = GridSearchCV(clf, {'C': Cs})
grid_search.f... | |
17,338 | [
0.02054007723927498,
0.0008356127073056996,
0.03229932487010956,
-0.040043219923973083,
-0.021599071100354195,
-0.033645130693912506,
-0.013866206631064415,
-0.008593297563493252,
0.04430126026272774,
0.03624849021434784,
0.01782640442252159,
-0.05480295419692993,
-0.013568364083766937,
0.... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Dict", "_fields": {"k... | def test_param_sampler():
# test basic properties of param sampler
param_distributions = {"kernel": ["rbf", "linear"],
"C": distributions.uniform(0, 1)}
sampler = ParameterSampler(param_distributions=param_distributions,
n_iter=10, random_state=0)
... | |
17,339 | [
0.04486893117427826,
-0.01535483356565237,
0.013655252754688263,
0.012283866293728352,
-0.021543651819229126,
-0.020934145897626877,
0.03647651895880699,
-0.03823470696806908,
-0.00843343697488308,
0.03424948453903198,
-0.01031469739973545,
-0.0465802364051342,
0.009007778018712997,
0.0302... | 12 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"a... | def test_randomized_search_grid_scores():
# Make a dataset with a lot of noise to get various kind of prediction
# errors across CV folds and parameter settings
X, y = make_classification(n_samples=200, n_features=100, n_informative=3,
random_state=0)
# XXX: as of today (... | |
17,340 | [
-0.020344732329249382,
0.03995679318904877,
-0.01234421506524086,
-0.03676443547010422,
-0.019965313374996185,
-0.022438080981373787,
-0.011873211711645126,
0.0012985303765162826,
-0.03064139001071453,
0.0468386746942997,
0.019062556326389313,
-0.02794620394706726,
-0.0177280455827713,
-0.... | 12 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "data", "annotation": null, "type_comment": null}}], "kwarg": null... | def postprocess_data(self, data):
if not data or self.label not in data:
return []
mlist = []
data = data[self.label]
# Avoid duplicates. A real fix, using XPath, is auspicabile.
# XXX: probably this is no more needed.
seenIDs = []
for d in data:
... | |
17,341 | [
0.01745215430855751,
0.043711286038160324,
0.07119554281234741,
-0.046531371772289276,
-0.004981376230716705,
0.015972765162587166,
0.020457159727811813,
-0.016643112525343895,
-0.05496850609779358,
-0.019047118723392487,
-0.034280192106962204,
0.0024950222577899694,
0.015209956094622612,
... | 14 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {... | class Migration(migrations.Migration):
dependencies = [
('openfonacide', '0050_auto_20150530_0547'),
]
operations = [
migrations.CreateModel(
name='HistorialEstado',
fields=[
('id', models.AutoField(verbose_name='ID', serialize=False, auto_created=Tr... | |
17,342 | [
-0.023771680891513824,
0.013957786373794079,
0.030722726136446,
-0.02314786985516548,
-0.030366262421011925,
0.0027013274375349283,
0.00199257698841393,
0.029185475781559944,
0.029965240508317947,
-0.016742659732699394,
-0.0006419133860617876,
-0.007608274929225445,
0.008471585810184479,
-... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"arg... | def main():
print('starting D-Bus service at %s' % BUS_NAME)
DBusGMainLoop(set_as_default=True)
bus = dbus.SessionBus()
name = dbus.service.BusName(BUS_NAME, bus)
service = DBusService(bus=bus)
print('call with: "dbus-send --session --print-reply --dest=%(busname)s %(object_path)s '
'%(busname)s.crash int32:1... | |
17,343 | [
-0.014498439617455006,
-0.005268762819468975,
-0.0016948655247688293,
-0.016655055806040764,
0.01521375309675932,
-0.012427234090864658,
0.013057136908173561,
0.02476905845105648,
0.0055570234544575214,
0.007932504639029503,
0.0023608007468283176,
-0.03279764950275421,
0.03657706454396248,
... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "bus", "annotation": nu... | class DBusService(dbus.service.Object):
def __init__(self, bus, object_path=OBJECT_PATH):
super(DBusService, self).__init__(bus, object_path)
@logex.log(view_source=True)
@dbus.service.method(dbus_interface=BUS_NAME,
in_signature='isb', out_signature='')
def crash(self, arg1, arg2, lazy=True):
a = 1
pr... | |
17,344 | [
-0.012015469372272491,
0.053413305431604385,
-0.024624139070510864,
-0.014691183343529701,
0.025343552231788635,
0.001880572410300374,
-0.016331950202584267,
0.0017922234255820513,
-0.012715950608253479,
0.0759296864271164,
0.04823857545852661,
-0.0035939128138124943,
0.061087049543857574,
... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "cls", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "pathFilter", "annotation": null, "type_comment": null}}], "kwarg":... | def create( cls, pathFilter ) :
visible = True
with IECore.IgnoredExceptions( KeyError ) :
visible = pathFilter.userData()["UI"]["visible"].value
if not visible :
return None
c = pathFilter.__class__
while c is not None :
creator = cls.__typesToCreators.get( c, None )
if creator is not None :
... | |
17,345 | [
-0.039740707725286484,
0.046230707317590714,
-0.0012563837226480246,
-0.027519281953573227,
-0.008107230998575687,
0.025496425107121468,
-0.022209282964468002,
0.0005132867954671383,
0.024548212066292763,
0.06692285090684891,
0.004282767418771982,
-0.008497052825987339,
0.021398033946752548,... | 12 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "topLevelWidget", "anno... | class PathFilterWidget( GafferUI.Widget ) :
def __init__( self, topLevelWidget, pathFilter, **kw ) :
GafferUI.Widget.__init__( self, topLevelWidget, **kw )
self.__pathFilter = pathFilter
self.__pathFilterChangedConnection = self.__pathFilter.changedSignal().connect( Gaffer.WeakMethod( self.__pathFilterChanged... | |
17,346 | [
-0.03810598701238632,
0.02875191532075405,
-0.011380068026483059,
0.014128096401691437,
-0.006983223836869001,
-0.005657704547047615,
-0.012802576646208763,
-0.0049437559209764,
0.000052620016504079103,
0.07741894572973251,
0.01580924168229103,
-0.013977224007248878,
0.010668814182281494,
... | 14 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "pathFilter", "annotati... | class BasicPathFilterWidget( PathFilterWidget ) :
def __init__( self, pathFilter ) :
self.__checkBox = GafferUI.BoolWidget( str( pathFilter ) )
PathFilterWidget.__init__( self, self.__checkBox, pathFilter )
self.__stateChangedConnection = self.__checkBox.stateChangedSignal().connect( Gaffer.WeakMethod( self.... | |
17,347 | [
-0.028187328949570656,
0.04289773479104042,
-0.016572048887610435,
0.027113744989037514,
-0.007229570299386978,
0.008491604588925838,
-0.0012591787381097674,
-0.0001708706986391917,
0.03689022362232208,
0.08867359161376953,
0.03586232289671898,
-0.0014226435450837016,
0.02585742063820362,
... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "pathFilter", "annotation": null, "type_comment": null}}], "kwarg"... | def __init__( self, pathFilter ) :
self.__checkBox = GafferUI.BoolWidget( str( pathFilter ) )
PathFilterWidget.__init__( self, self.__checkBox, pathFilter )
self.__stateChangedConnection = self.__checkBox.stateChangedSignal().connect( Gaffer.WeakMethod( self.__stateChanged ) )
self._updateFromPathFilter() | |
17,348 | [
-0.02512311190366745,
0.0450972281396389,
-0.03057059831917286,
0.019426880404353142,
0.033431150019168854,
-0.005366644822061062,
0.027212558314204216,
0.0016323804156854749,
-0.0000645664767944254,
0.08730903267860413,
0.03149094805121422,
-0.003367367433384061,
-0.002616472542285919,
-0... | 13 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def _updateFromPathFilter( self ) :
label = str( self.pathFilter() )
with IECore.IgnoredExceptions( KeyError ) :
label = self.pathFilter().userData()["UI"]["label"].value
self.__checkBox.setText( label )
invertEnabled = False
with IECore.IgnoredExceptions( KeyError ) :
invertEnabled = self.pathFilter(... | |
17,349 | [
-0.00040883812471292913,
-0.0031087123788893223,
0.014181283302605152,
0.01899477280676365,
-0.024795645847916603,
-0.0070412722416222095,
-0.04233403131365776,
0.012582956813275814,
0.005143646150827408,
0.03411407023668289,
0.008170590735971928,
-0.013761645182967186,
0.002238581422716379,... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "state", "annotation": null, "type_comment": null}}, {"_type": "ar... | def initSequence(self, state, params):
# Invoke base class
super(HorizontalPictureExplorer, self).initSequence(state, params)
# Force vertical velocity to be zero
state['velocityY'] = 0
# Make sure we don't allow stationary (no velocity)
if state['velocityX'] == 0:
state['velocityX'] = sel... | |
17,350 | [
0.031674228608608246,
0.010426775552332401,
0.00973165687173605,
-0.021722448989748955,
-0.0022750645875930786,
0.006951183546334505,
-0.00731032807379961,
-0.0019159200601279736,
0.004932444076985121,
0.00042793224565684795,
0.052504606544971466,
-0.011701159179210663,
0.0003095449064858258... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "fd", "annotation": null, "type_comment": null}}, {"_type": "arg",... | def _invoke_callback(self, fd, events):
if fd not in self._fds:
return
(reader, writer) = self._fds[fd]
if reader:
err = None
if reader.fileno() == -1:
err = error.ConnectionLost()
elif events & IOLoop.READ:
err = lo... | |
17,351 | [
0.025163425132632256,
0.024975111708045006,
-0.009639310650527477,
-0.007785596884787083,
-0.014347153715789318,
-0.002634921343997121,
-0.0017419022042304277,
-0.015794815495610237,
-0.017524948343634605,
-0.006579211913049221,
-0.03912218287587166,
-0.0026246230117976665,
-0.01579481549561... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "io_loop", "annotation": null, "type_comment": null}}], "kwarg": n... | def __init__(self, io_loop=None):
if not io_loop:
io_loop = tornado.ioloop.IOLoop.current()
self._io_loop = io_loop
self._readers = {} # map of reader objects to fd
self._writers = {} # map of writer objects to fd
self._fds = {} # a map of fd to a (reader, writer) ... | |
17,352 | [
-0.03816889598965645,
-0.015389589592814445,
0.018372593447566032,
0.007915130816400051,
0.004581849090754986,
-0.03369439020752907,
-0.06878988444805145,
-0.02867751754820347,
-0.018903659656643867,
0.021457292139530182,
0.0037315802183002234,
0.036067232489585876,
0.0003368591424077749,
... | 13 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "host", "annotation": null, "type_comment": null}}, {"_type": "arg... | def resolve(self, host, port, family=0):
# getHostByName doesn't accept IP addresses, so if the input
# looks like an IP address just return it immediately.
if twisted.internet.abstract.isIPAddress(host):
resolved = host
resolved_family = socket.AF_INET
elif twist... | |
17,353 | [
0.02565176412463188,
0.02020692452788353,
0.008671845309436321,
-0.0026050738524645567,
0.013107511214911938,
-0.02865581214427948,
-0.0012974030105397105,
-0.028022145852446556,
-0.04170465096831322,
0.0036289149429649115,
-0.005342161748558283,
0.01419882569462061,
0.010619782842695713,
... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "io_loop", "annotation": null, "type_comment": null}}], "kwarg": n... | def initialize(self, io_loop=None):
self.io_loop = io_loop or IOLoop.current()
# partial copy of twisted.names.client.createResolver, which doesn't
# allow for a reactor to be passed in.
self.reactor = tornado.platform.twisted.TornadoReactor(io_loop)
host_resolver = twisted.name... | |
17,354 | [
-0.010750462301075459,
0.01842448115348816,
0.024885013699531555,
0.0032843889202922583,
0.006716902833431959,
0.017786404117941856,
-0.013604719191789627,
-0.045007236301898956,
0.0526413768529892,
0.04603271931409836,
0.023153088986873627,
-0.04940541088581085,
0.039538003504276276,
-0.0... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "health_check_id", "ann... | class HealthCheck(object):
def __init__(self, health_check_id, health_check_args):
self.id = health_check_id
self.ip_address = health_check_args.get("ip_address")
self.port = health_check_args.get("port", 80)
self._type = health_check_args.get("type")
self.resource_path = hea... | |
17,355 | [
-0.0026413106825202703,
-0.029934855177998543,
0.023989316076040268,
0.014325226657092571,
-0.005179040599614382,
0.000886910711415112,
0.004596398677676916,
-0.03490673378109932,
0.027366051450371742,
0.04802006483078003,
0.0456169918179512,
-0.03940214216709137,
0.038863521069288254,
-0.... | 7 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "health_check_id", "annotation": null, "type_comment": null}}, {"_... | def __init__(self, health_check_id, health_check_args):
self.id = health_check_id
self.ip_address = health_check_args.get("ip_address")
self.port = health_check_args.get("port", 80)
self._type = health_check_args.get("type")
self.resource_path = health_check_args.get("resource_pa... | |
17,356 | [
-0.008702658116817474,
0.015384320169687271,
0.044131964445114136,
-0.0033047418110072613,
-0.02023058757185936,
0.0018676173640415072,
0.014992494136095047,
-0.012239402160048485,
0.057330310344696045,
0.024231335148215294,
0.028830133378505707,
-0.02264340966939926,
0.036914121359586716,
... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "cls", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "resource_name", "annotation": null, "type_comment": null}}, {"_typ... | def create_from_cloudformation_json(cls, resource_name, cloudformation_json, region_name):
properties = cloudformation_json['Properties']['HealthCheckConfig']
health_check_args = {
"ip_address": properties.get('IPAddress'),
"port": properties.get('Port'),
"type": prop... | |
17,357 | [
0.02824701927602291,
0.013221777975559235,
0.031267277896404266,
-0.003370629856362939,
0.011874612420797348,
0.02696503885090351,
0.03889397159218788,
-0.020794151350855827,
0.007306200452148914,
0.001127164694480598,
0.002607417292892933,
-0.051800686866045,
0.015014377422630787,
-0.0316... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "kwargs", "annotation":... | class RecordSet(object):
def __init__(self, kwargs):
self.name = kwargs.get('Name')
self._type = kwargs.get('Type')
self.ttl = kwargs.get('TTL')
self.records = kwargs.get('ResourceRecords', [])
self.set_identifier = kwargs.get('SetIdentifier')
self.weight = kwargs.get... | |
17,358 | [
0.04449857771396637,
0.017484987154603004,
-0.03635162115097046,
0.015388693660497665,
0.04911994934082031,
0.005985153838992119,
0.011249707080423832,
-0.009725130163133144,
0.0012930611846968532,
-0.02334507741034031,
0.030324779450893402,
-0.03358832746744156,
0.020355477929115295,
-0.0... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "name", "annotation": n... | class FakeZone(object):
def __init__(self, name, id_, comment=None):
self.name = name
self.id = id_
self.comment = comment
self.rrsets = []
def add_rrset(self, record_set):
record_set = RecordSet(record_set)
self.rrsets.append(record_set)
return record_s... | |
17,359 | [
0.02187369391322136,
0.012459838762879372,
0.027126912027597427,
-0.006147148087620735,
0.009430409409105778,
-0.011753523722290993,
-0.008398527279496193,
0.012526055797934532,
-0.016465969383716583,
0.004958000499755144,
0.0040364800952374935,
-0.00795156229287386,
-0.011576944962143898,
... | 7 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "kwargs", "annotation": null, "type_comment": null}}], "kwarg": nu... | def __init__(self, kwargs):
self.name = kwargs.get('Name')
self._type = kwargs.get('Type')
self.ttl = kwargs.get('TTL')
self.records = kwargs.get('ResourceRecords', [])
self.set_identifier = kwargs.get('SetIdentifier')
self.weight = kwargs.get('Weight')
self.regio... | |
17,360 | [
0.01571371592581272,
0.012546781450510025,
-0.02603924460709095,
-0.057972509413957596,
-0.014515119604766369,
-0.012634752318263054,
0.05603715777397156,
-0.00878604594618082,
-0.05872025713324547,
-0.0045442222617566586,
-0.023839984089136124,
-0.06826505064964294,
0.04750402644276619,
-... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "type_filter", "annotation": null, "type_comment": null}}, {"_type... | def get_record_sets(self, type_filter, name_filter):
record_sets = list(self.rrsets) # Copy the list
if type_filter:
record_sets = [record_set for record_set in record_sets if record_set._type == type_filter]
if name_filter:
record_sets = [record_set for record_set in re... | |
17,361 | [
0.035596586763858795,
0.007427550386637449,
0.027163000777363777,
0.008701150305569172,
0.016128700226545334,
0.024037864059209824,
0.059420403093099594,
-0.022603726014494896,
-0.04353785887360573,
-0.015475846827030182,
0.010103181004524231,
-0.02046322263777256,
0.018772223964333534,
-0... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "hosted_zone_id", "anno... | class RecordSetGroup(object):
def __init__(self, hosted_zone_id, record_sets):
self.hosted_zone_id = hosted_zone_id
self.record_sets = record_sets
@property
def physical_resource_id(self):
return "arn:aws:route53:::hostedzone/{0}".format(self.hosted_zone_id)
@classmethod
de... | |
17,362 | [
0.03725725784897804,
0.014058955013751984,
0.045449741184711456,
-0.00202624942176044,
0.0015939829172566533,
-0.005110008176416159,
0.035878121852874756,
-0.028509007766842842,
0.009762019850313663,
-0.02562723122537136,
0.023959916085004807,
-0.015705684199929237,
0.0270269513130188,
-0.... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "cls", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "resource_name", "annotation": null, "type_comment": null}}, {"_typ... | def create_from_cloudformation_json(cls, resource_name, cloudformation_json, region_name):
properties = cloudformation_json['Properties']
zone_name = properties["HostedZoneName"]
hosted_zone = route53_backend.get_hosted_zone_by_name(zone_name)
record_sets = properties["RecordSets"]
... | |
17,363 | [
0.01727967895567417,
0.026012420654296875,
0.025129856541752815,
0.022865381091833115,
0.015804868191480637,
0.006172143388539553,
-0.007060513831675053,
0.0030686527024954557,
-0.007298573851585388,
0.005626346915960312,
0.04570753872394562,
-0.02091445028781891,
-0.008152106776833534,
-0... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs... | class Route53Backend(BaseBackend):
def __init__(self):
self.zones = {}
self.health_checks = {}
def create_hosted_zone(self, name, comment=None):
new_id = get_random_hex()
new_zone = FakeZone(name, new_id, comment=comment)
self.zones[new_id] = new_zone
return new... | |
17,364 | [
0.01468239538371563,
0.014966717921197414,
0.027112960815429688,
-0.024474451318383217,
-0.004876124672591686,
-0.015967531129717827,
-0.03839486464858055,
-0.04449072852730751,
0.0009283118415623903,
-0.020493939518928528,
-0.0017954943468794227,
-0.07119426876306534,
0.047811612486839294,
... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "request", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "md5", "annotation":... | class FilesApi:
@api_get
def view(request, md5=None, sha256=None, sample_id=None):
data = {}
if md5:
sample = db.find_sample(md5=md5)
elif sha256:
sample = db.find_sample(sha256=sha256)
elif sample_id:
sample = db.view_sample(sample_id)
... | |
17,365 | [
0.015635231509804726,
-0.0008955186349339783,
0.032421521842479706,
0.018872587010264397,
0.005434561520814896,
-0.016942163929343224,
-0.008339189924299717,
-0.0200356375426054,
-0.011294775642454624,
0.008351179771125317,
0.038200803101062775,
-0.04340455308556557,
0.05414777994155884,
-... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "request", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "md5", "annotation": null, "type_comment": null}}, {"_type": "a... | def view(request, md5=None, sha256=None, sample_id=None):
data = {}
if md5:
sample = db.find_sample(md5=md5)
elif sha256:
sample = db.find_sample(sha256=sha256)
elif sample_id:
sample = db.view_sample(sample_id)
else:
return json_f... | |
17,366 | [
0.004221245646476746,
-0.020062679424881935,
0.0031583220697939396,
0.0011639565927907825,
0.025532307103276253,
-0.025111567229032516,
0.003537542186677456,
0.01293223537504673,
-0.009522022679448128,
-0.03489932045340538,
0.00942790973931551,
-0.03115694411098957,
0.02562088333070278,
-0... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "request", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "sha256", "annotation": null, "type_comment": null}}], "kwarg":... | def get(request, sha256):
filepath = cwd("storage", "binaries", sha256)
if os.path.exists(filepath):
return json_error_response("File not found")
return HttpResponse(
FileWrapper(open(filepath, "rb")),
content_type="application/octet-stream; charset=UTF-8"
... | |
17,367 | [
-0.017429543659090996,
-0.002113204449415207,
0.03340236470103264,
-0.014976117759943008,
-0.014247757382690907,
-0.010388723574578762,
0.04303717240691185,
0.04592505842447281,
0.0024518282152712345,
0.007833071984350681,
0.013596066273748875,
-0.023154202848672867,
0.0018991685938090086,
... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs... | class GaussianMixturePairTest(jax.test_util.JaxTestCase):
def setUp(self):
super().setUp()
self.n_components = 3
self.n_dimensions = 2
self.epsilon = 1.e-3
self.rho = 0.1
self.tau = self.rho / (self.rho + self.epsilon)
key = jax.random.PRNGKey(seed=0)
self.key, subkey0, subkey1 = jax.... | |
17,368 | [
0.003284195438027382,
-0.030037757009267807,
0.04921240359544754,
-0.016648344695568085,
-0.01997043378651142,
-0.04112823307514191,
0.0374903529882431,
0.03195774927735329,
-0.017052553594112396,
-0.0030836700461804867,
0.00028144606039859354,
-0.04019349813461304,
-0.018277810886502266,
... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def setUp(self):
super().setUp()
self.n_components = 3
self.n_dimensions = 2
self.epsilon = 1.e-3
self.rho = 0.1
self.tau = self.rho / (self.rho + self.epsilon)
key = jax.random.PRNGKey(seed=0)
self.key, subkey0, subkey1 = jax.random.split(key, num=3)
self.gmm0 = gaussian_mixture.Gau... | |
17,369 | [
-0.031547803431749344,
-0.00546832662075758,
0.009281963109970093,
-0.005359624046832323,
-0.012029713951051235,
-0.018600160256028175,
0.055172424763441086,
0.035291992127895355,
0.0522736981511116,
0.00034063810016959906,
-0.013696481473743916,
-0.004296757746487856,
-0.026402564719319344,... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def test_get_sinkhorn_to_same_gmm_is_almost_zero(self):
gmm = self.gmm0
pair = gaussian_mixture_pair.GaussianMixturePair(
gmm0=gmm,
gmm1=gmm, # use same GMM for both gmm0 and gmm1
epsilon=self.epsilon,
tau=1.)
cost_matrix = pair.get_cost_matrix()
sinkhorn_output = pair.g... | |
17,370 | [
-0.04073336720466614,
-0.007068723905831575,
0.029686206951737404,
0.0032484496477991343,
-0.03141384571790695,
-0.0008394870092161,
0.04878757894039154,
0.02289731241762638,
0.03340914845466614,
-0.003862856887280941,
-0.0006927288486622274,
-0.017288565635681152,
-0.00804812554270029,
0.... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def test_get_coupling_between_same_gmm(self):
gmm = self.gmm0
pair = gaussian_mixture_pair.GaussianMixturePair(
gmm0=gmm,
gmm1=gmm, # use same GMM for both gmm0 and gmm1
epsilon=self.epsilon,
tau=1.)
cost_matrix = pair.get_cost_matrix()
sinkhorn_output = pair.get_sinkhor... | |
17,371 | [
-0.025337057188153267,
0.008182021789252758,
0.02137576788663864,
-0.01721198670566082,
-0.012586264871060848,
-0.008447795175015926,
0.02642546221613884,
0.053407780826091766,
-0.025817979127168655,
-0.000565163791179657,
0.008257957175374031,
0.027513867244124413,
-0.029386935755610466,
... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def test_get_sinkhorn_to_shifted_is_almost_shift(self):
loc_shift = jnp.stack(
[2. * jnp.ones(self.n_components),
jnp.zeros(self.n_components)], axis=-1)
gmm1 = gaussian_mixture.GaussianMixture(
loc=self.gmm0.loc + loc_shift,
scale_params=self.gmm0.scale_params,
componen... | |
17,372 | [
-0.044534120708703995,
0.013192983344197273,
0.020507164299488068,
-0.001992365112528205,
-0.03412451967597008,
-0.0047710672952234745,
0.03804372251033783,
0.039741210639476776,
-0.01974578946828842,
-0.0072892168536782265,
0.013904430903494358,
0.009791765362024307,
-0.018385302275419235,
... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def test_get_coupling_to_shifted(self):
loc_shift = jnp.stack(
[2. * jnp.ones(self.n_components),
jnp.zeros(self.n_components)], axis=-1)
gmm1 = gaussian_mixture.GaussianMixture(
loc=self.gmm0.loc + loc_shift,
scale_params=self.gmm0.scale_params,
component_weight_ob=self... | |
17,373 | [
-0.0024986618664115667,
-0.0024911987129598856,
0.019272832199931145,
0.004059952218085527,
-0.021314749494194984,
-0.03570369631052017,
0.03181092068552971,
0.01681297831237316,
0.029327183961868286,
0.008502017706632614,
0.01692044734954834,
-0.024550769478082657,
0.019081775099039078,
0... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "epsilon", "annotation": null, "type_comment": null}}, {"_type": "... | def test_flatten_unflatten(self, epsilon, tau, lock_gmm1):
pair = gaussian_mixture_pair.GaussianMixturePair(
gmm0=self.gmm0, gmm1=self.gmm1,
epsilon=epsilon, tau=tau, lock_gmm1=lock_gmm1)
children, aux_data = jax.tree_util.tree_flatten(pair)
pair_new = jax.tree_util.tree_unflatten(aux_data, ... | |
17,374 | [
-0.02446078509092331,
-0.05038685351610184,
0.00537073751911521,
-0.03124362975358963,
-0.004138835705816746,
0.03906635567545891,
-0.02807672694325447,
0.006392891053110361,
0.0017311618430539966,
0.026446007192134857,
-0.03403239697217941,
-0.04953604191541672,
0.04915790632367134,
0.017... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": ""}}, "targets": [{"_type": "Name", "_fields": {"id": "interface_separator", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": ... | class ConfigCommandProcessor(AristaBaseCommandProcessor):
interface_separator = ""
def __init__(self, display_class, config_vlan, config_interface):
super(ConfigCommandProcessor, self).__init__(display_class)
self.config_vlan_processor = config_vlan
self.config_interface_processor = con... | |
17,375 | [
-0.008511957712471485,
-0.0046716248616576195,
0.04531124606728554,
-0.001964072696864605,
-0.038637496531009674,
-0.02156674861907959,
0.06491099298000336,
0.006948895286768675,
-0.004695041570812464,
0.0025831509847193956,
0.005456082988530397,
-0.030324582010507584,
0.004086208064109087,
... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "epsilon", "annotation": null, "type_comment": null}}, {"_type": "... | def test_pytree_mapping(self, epsilon, tau, lock_gmm1):
pair = gaussian_mixture_pair.GaussianMixturePair(
gmm0=self.gmm0, gmm1=self.gmm1,
epsilon=epsilon, tau=tau, lock_gmm1=lock_gmm1)
expected_gmm1_loc = 2. * self.gmm1.loc if not lock_gmm1 else self.gmm1.loc
pair_x_2 = jax.tree_map(lambda ... | |
17,376 | [
0.010068429633975029,
-0.025009626522660255,
-0.027710197493433952,
-0.01706055738031864,
0.0028106477111577988,
0.021111413836479187,
-0.041353948414325714,
0.0076848831959068775,
0.006008768454194069,
0.03186672553420067,
-0.002976497868075967,
-0.01251655537635088,
0.0030909786000847816,
... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": {"_type": "arg", "_fields": {"arg": "args", "annotation": null, "type_commen... | def do_interface(self, *args):
try:
interface_name = self.read_interface_name(args)
except NameIsIncomplete:
self.display.invalid_command(self, "Incomplete command")
return
except InvalidVlanNumber:
self.display.invalid_command(self, "Invalid input... | |
17,377 | [
0.00013681572454515845,
-0.006795000750571489,
0.0004755202680826187,
-0.015470451675355434,
0.04603064805269241,
0.000009091756510315463,
-0.04102380573749542,
0.03006412833929062,
-0.002473138039931655,
0.021930893883109093,
-0.012228693813085556,
0.007187241688370705,
0.011432674713432789... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "raw_number", "annotation": null, "type_comment": null}}], "kwarg"... | def do_vlan(self, raw_number, *_):
try:
number = self.read_vlan_number(raw_number)
except VlanNumberIsZero:
self.display.invalid_command(self, "Incomplete command")
return
except InvalidVlanNumber:
self.display.invalid_command(self, "Invalid input"... | |
17,378 | [
-0.001914104213938117,
0.0022356961853802204,
0.04547788202762604,
-0.018132731318473816,
0.008431607857346535,
-0.01885174959897995,
0.04051216319203377,
0.057386614382267,
0.033614084124565125,
0.057386614382267,
-0.019975215196609497,
0.0077968500554561615,
0.0017174978274852037,
0.0027... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "network", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "data_pair", "annotation": null, "type_comment": null}}, {"_typ... | def train(network, data_pair, num_epoch, learning_rate, optimizer='sgd', opt_args=None, ctx=[mx.gpu(0)]):
np.random.seed(123) # Fix random seed for consistent demos
mx.random.seed(123) # Fix random seed for consistent demos
if not opt_args:
opt_args = {}
if optimizer=='sgd' and (not opt_args):... | |
17,379 | [
-0.0034934154246002436,
0.021055910736322403,
0.005134101491421461,
0.008598360233008862,
-0.01281802449375391,
0.04758254438638687,
0.02279466763138771,
-0.028265388682484627,
-0.03392694890499115,
0.07107695192098618,
-0.02262503281235695,
-0.033418044447898865,
-0.043002404272556305,
0.... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "label", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "pred", "annotation": null, "type_comment": null}}], "kwarg": nul... | def RMSE(label, pred):
ret = 0.0
n = 0.0
pred = pred.flatten()
for i in range(len(label)):
ret += (label[i] - pred[i]) * (label[i] - pred[i])
n += 1.0
return math.sqrt(ret / n) | |
17,380 | [
0.0031028822995722294,
0.023226682096719742,
-0.038434918969869614,
-0.0209113247692585,
-0.021691234782338142,
0.02451840601861477,
-0.022824540734291077,
0.02559078298509121,
0.08159803599119186,
0.025298316031694412,
0.024018777534365654,
-0.0069277905859053135,
0.03748440369963646,
0.0... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "topic", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "payload", "annotation": null, "type_comment": null}}], "kwarg": ... | def event(topic, payload):
if topic['commandClass'] == 'info':
return eval('info.' + topic['action'])(topic, payload)
elif topic['subFunction']:
if topic['subFunction'] == 'sup':
return info.sup(topic, payload)
elif topic['subFunction'] == 'evtsup':
return info.ev... | |
17,381 | [
0.03636904060840607,
0.025164201855659485,
-0.046266648918390274,
-0.018196191638708115,
-0.015593401156365871,
0.02943604625761509,
-0.0002613368269521743,
-0.02602790854871273,
0.06876970082521439,
0.036579132080078125,
0.02899252250790596,
0.03433816507458687,
-0.002219083486124873,
-0.... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "func", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def verify_sensor_and_class(func):
@wraps(func)
def wrapper(topic, payload):
if not NodeDefender.db.sensor.get(topic['mac_address'], topic['node']):
NodeDefender.db.sensor.create(topic['mac_address'], topic['node'])
if not NodeDefender.db.commandclass.get(topic['mac_address'], topic[... | |
17,382 | [
-0.01497469749301672,
0.03305971622467041,
0.1144799292087555,
-0.00129257095977664,
-0.01531332079321146,
-0.03406304493546486,
-0.006628247443586588,
-0.012209269218146801,
-0.050266824662685394,
0.012265706434845924,
0.005377220455557108,
0.039857275784015656,
0.0008300986373797059,
-0.... | 14 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "p", "annotation": null, "type_comment": null}}], "kwarg": null, "... | def paint(self, p, *args):
pen = self.region.lines[0].pen
rgn = self.getLevels()
p1 = self.vb.mapFromViewToItem(self, Point(self.vb.viewRect().center().x(), rgn[0]))
p2 = self.vb.mapFromViewToItem(self, Point(self.vb.viewRect().center().x(), rgn[1]))
gradRect = self.gradient.mapR... | |
17,383 | [
0.0000846871334942989,
0.01031490322202444,
-0.002254723571240902,
-0.028950849547982216,
0.001288532163016498,
-0.003416147083044052,
0.030492767691612244,
-0.0005105112795718014,
-0.02564104087650776,
-0.013850681483745575,
0.004891603719443083,
0.011843529529869556,
0.008321043103933334,
... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def gradientChanged(self):
if self.imageItem() is not None:
if self.gradient.isLookupTrivial():
self.imageItem().setLookupTable(None) #lambda x: x.astype(np.uint8))
else:
self.imageItem().setLookupTable(self.getLookupTable) ## send function pointer, not t... | |
17,384 | [
-0.004653388634324074,
-0.0015439778799191117,
0.021321674808859825,
-0.019389118999242783,
-0.05304354429244995,
-0.026979483664035797,
0.03643883019685745,
0.0032707219943404198,
-0.0028352614026516676,
0.02350851334631443,
0.042338207364082336,
0.03186172619462013,
0.015460439026355743,
... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "autoLevel", "annotation": null, "type_comment": null}}, {"_type":... | def imageChanged(self, autoLevel=False, autoRange=False):
profiler = debug.Profiler()
h = self.imageItem().getHistogram()
profiler('get histogram')
if h[0] is None:
return
self.plot.setData(*h)
profiler('set plot')
if autoLevel:
mn = h[0][0... | |
17,385 | [
-0.05003957822918892,
-0.010721107944846153,
0.014147680252790451,
-0.028388284146785736,
-0.009588596411049366,
-0.007178379688411951,
0.006760221440345049,
0.001511467038653791,
-0.03421926498413086,
-0.02562379464507103,
0.0035862859804183245,
-0.0036530750803649426,
0.015715772286057472,... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "img", "annotation": null, "type_comment": null}}, {"_type": "arg"... | def getLookupTable(self, img=None, n=None, alpha=None):
if n is None:
if img.dtype == np.uint8:
n = 256
else:
n = 512
if self.lut is None:
self.lut = self.gradient.getLookupTable(n, alpha=alpha)
return self.lut | |
17,386 | [
0.025787431746721268,
-0.011156179942190647,
0.03424743562936783,
-0.042060352861881256,
-0.0027515979018062353,
0.0047003342770040035,
0.043546248227357864,
-0.01023348793387413,
0.03872907906770706,
0.06058608368039131,
0.0168121587485075,
-0.0116474824026227,
-0.01158157642930746,
0.028... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def test_filename(self):
self.assertFilename('with space', 'with-space')
self.assertFilename('with more \t\n\r space', 'with-more-space')
self.assertFilename('UpperCase', 'uppercase')
self.assertFilename('with/path', 'path')
self.assertFilename('../path', 'path')
self.as... | |
17,387 | [
0.014995862729847431,
0.0014357150066643953,
0.017061959952116013,
-0.047942329198122025,
0.025992829352617264,
-0.014695946127176285,
0.004807007033377886,
0.005395733751356602,
0.032613225281238556,
0.008325480856001377,
0.01770622655749321,
-0.003193563548848033,
0.012829793617129326,
0... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs... | class TestFileUpload(unittest.TestCase):
def test_name(self):
self.assertEqual(FileUpload(None, 'abc', None).name, 'abc')
def test_raw_filename(self):
self.assertEqual(FileUpload(None, None, 'x/x').raw_filename, 'x/x')
def assertFilename(self, bad, good):
fu = FileUpload(None, None... | |
17,388 | [
0.0038586449809372425,
-0.002692928072065115,
0.015467073768377304,
-0.045404743403196335,
0.04297853633761406,
-0.017059272155165672,
0.0041808756068348885,
0.026146719232201576,
0.03552661091089249,
0.03905761241912842,
0.0015055484836921096,
-0.0028946606907993555,
0.007630639709532261,
... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def test_save_dir(self):
fu = FileUpload(open(__file__, 'rb'), 'testfile', __file__)
dirpath = tempfile.mkdtemp()
filepath = os.path.join(dirpath, fu.filename)
fu.save(dirpath)
self.assertEqual(fu.file.read(), open(filepath, 'rb').read())
os.unlink(filepath)
os.rm... | |
17,389 | [
0.01929084211587906,
0.04782192409038544,
-0.04020240902900696,
-0.024689752608537674,
-0.024037253111600876,
-0.015502133406698704,
0.019743382930755615,
-0.03323539346456528,
-0.0014970662305131555,
0.033277492970228195,
-0.004617488943040371,
-0.05565192177891731,
-0.04769563302397728,
... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": ""}}, "targets": [{"_type": "Name", "_fields": {"id": "label", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_typ... | class MibNode(object):
label = ''
def __init__(self, name):
self.name = name
def __repr__(self):
return '%s(%r)' % (self.__class__.__name__, self.name)
def getName(self):
return self.name
def getLabel(self):
return self.label
def setLabel(self, label):
... | |
17,390 | [
0.04396023973822594,
0.037524137645959854,
0.01238534040749073,
-0.007112961728125811,
0.0021270604338496923,
0.011631295084953308,
0.010378511622548103,
-0.0002881476830225438,
0.015259024687111378,
0.03365297615528107,
-0.00674484483897686,
-0.042440276592969894,
-0.05433875322341919,
-0... | 13 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "current"}}, "targets": [{"_type": "Name", "_fields": {"id": "status", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}... | class ModuleIdentity(MibNode):
status = 'current'
lastUpdated = ''
organization = ''
contactInfo = ''
description = ''
revisions = ()
revisionsDescriptions = ()
def getStatus(self):
return self.status
def setStatus(self, v):
self.status = v
return self
... | |
17,391 | [
0.047301292419433594,
0.0388520173728466,
0.0387054979801178,
0.00042391373426653445,
-0.0016880236798897386,
0.019108550623059273,
-0.011330820620059967,
0.002388568827882409,
-0.027203738689422607,
0.03430991992354393,
-0.010976732708513737,
-0.04266151785850525,
-0.03511577844619751,
-0... | 12 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def asn1Print(self):
return """\
MODULE-IDENTITY
LAST-UPDATED %s
ORGANIZATION "%s"
CONTACT-INFO "%s"
DESCRIPTION "%s"
%s""" % (self.getLastUpdated(),
self.getOrganization(),
self.getContactInfo(),
self.getDescription(),
''.join(['REVISION "%s"\n' % x for x i... | |
17,392 | [
0.04593252018094063,
0.02275298535823822,
-0.013952620327472687,
0.0006436810363084078,
0.007161521818488836,
0.010865757241845131,
-0.017510930076241493,
-0.00960294995456934,
0.016893558204174042,
-0.02449285425245762,
-0.031250275671482086,
-0.031205376610159874,
-0.031676825135946274,
... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "current"}}, "targets": [{"_type": "Name", "_fields": {"id": "status", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}... | class ObjectIdentity(MibNode):
status = 'current'
description = ''
reference = ''
def getStatus(self):
return self.status
def setStatus(self, v):
self.status = v
return self
def getDescription(self):
return self.description
def setDescription(self, v):
... | |
17,393 | [
0.04670257493853569,
0.041306838393211365,
0.017434116452932358,
0.02013198286294937,
0.017003364861011505,
0.0055941068567335606,
-0.021775642409920692,
0.0022189391311258078,
0.005129348021000624,
-0.021628279238939285,
-0.015869807451963425,
-0.0439593642950058,
-0.001198737183585763,
-... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def asn1Print(self):
return """\
OBJECT-IDENTITY
STATUS %s
DESCRIPTION "%s"
REFERENCE "%s"
""" % (self.getStatus(),
self.getDescription(),
self.getReference()) | |
17,394 | [
0.010022797621786594,
0.029906360432505608,
-0.02490653656423092,
-0.019559500738978386,
-0.009739242494106293,
0.0018836146919056773,
0.0070657250471413136,
-0.04094764217734337,
0.011157017201185226,
-0.0008709186222404242,
-0.0681457668542862,
-0.044998425990343094,
-0.0019241224508732557... | 12 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def asn1Print(self):
return """\
NOTIFICATION-TYPE
OBJECTS { %s }
STATUS %s
DESCRIPTION "%s"
REFERENCE "%s"
""" % (', '.join([x for x in self.getObjects()]),
self.getStatus(),
self.getDescription(),
self.getReference()) | |
17,395 | [
0.011804711073637009,
0.035193875432014465,
-0.04059915617108345,
-0.031336359679698944,
0.002083534374833107,
0.002227893564850092,
0.035574864596128464,
-0.05467194318771362,
0.021406829357147217,
0.018454162403941154,
-0.040337227284908295,
-0.03878945857286453,
-0.0028931363485753536,
... | 13 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": []}}, "targets": [{"_type": "Name", "_fields": {"id": "objects", "ctx": {"_type": "Store", "_fields": {}}}}], "type... | class NotificationType(MibNode):
objects = ()
status = 'current'
description = ''
reference = ''
# retained for compatibility
revisions = ()
def getObjects(self):
return self.objects
def setObjects(self, *args, **kwargs):
if kwargs.get('append'):
self.object... | |
17,396 | [
-0.017752040177583694,
0.009608003310859203,
-0.02372318133711815,
-0.029187120497226715,
0.006265086587518454,
0.010680042207241058,
-0.01699123904109001,
-0.028287990018725395,
0.009930768050253391,
-0.011089261621236801,
-0.013440830633044243,
-0.039700016379356384,
-0.0183629859238863,
... | 12 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": ""}}, "targets": [{"_type": "Name", "_fields": {"id": "units", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_typ... | class ObjectType(MibNode):
units = ''
maxAccess = 'not-accessible'
status = 'current'
description = ''
reference = ''
def __init__(self, name, syntax=None):
MibNode.__init__(self, name)
self.syntax = syntax
# XXX
def __eq__(self, other):
return self.syntax == ot... | |
17,397 | [
-0.004469981882721186,
0.04006686806678772,
-0.003960706293582916,
-0.00019134199828840792,
0.03222111985087395,
0.016750790178775787,
-0.042814042419195175,
-0.027588168159127235,
-0.01879953220486641,
-0.030894093215465546,
-0.026214580982923508,
-0.03655141219496727,
0.009847928769886494,... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def asn1Print(self):
return """
OBJECT-TYPE
SYNTAX %s
UNITS "%s"
MAX-ACCESS %s
STATUS %s
DESCRIPTION "%s"
REFERENCE "%s" """ % (self.getSyntax().__class__.__name__,
self.getUnits(),
self.getMaxAccess(),
self.getStatus(),
... | |
17,398 | [
0.01812147907912731,
0.03653348237276077,
0.045491330325603485,
-0.04372397065162659,
-0.03764716163277626,
0.02605038322508335,
0.010434679687023163,
0.017794638872146606,
-0.01425992138683796,
0.021341461688280106,
0.01800042763352394,
-0.008413111791014671,
-0.008286007679998875,
-0.000... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": {"_type": "arg", "_fields": {"arg": "names", "annotation": null, "type_comme... | def unregisterSubtrees(self, *names):
self.branchVersionId += 1
for name in names:
# This may fail if you fill a table by exporting MibScalarInstances
# but later drop them through SNMP.
if name not in self._vars:
raise error.SmiError(
... | |
17,399 | [
0.017955688759684563,
0.045170336961746216,
0.029714809730648994,
-0.02667633816599846,
-0.03485867753624916,
0.04557706415653229,
0.04088776931166649,
-0.0043992032296955585,
-0.02408047951757908,
0.029308084398508072,
0.005078074522316456,
-0.013996105641126633,
-0.0024523092433810234,
-... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": {"_type": "arg", "_fields": {"arg": "subTrees", "annotation": null, "type_co... | def registerSubtrees(self, *subTrees):
self.branchVersionId += 1
for subTree in subTrees:
if subTree.name in self._vars:
raise error.SmiError(
'MIB subtree %s already registered at %s' % (subTree.name, self)
)
self._vars[subTree... | |
17,400 | [
0.017604241147637367,
0.03607099875807762,
0.006717698648571968,
-0.03080742061138153,
0.0032620923593640327,
0.016951821744441986,
0.01903071440756321,
0.04314808174967766,
-0.017172981053590775,
-0.006944386288523674,
0.016620082780718803,
-0.017405197024345398,
0.01092524453997612,
-0.0... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "name", "annotation": null, "type_comment": null}}, {"_type": "arg... | def getNextBranch(self, name, idx=None):
# Start from the beginning
if self._vars:
first = list(self._vars.keys())[0]
else:
first = ()
if self._vars and name < first:
return self._vars[first]
else:
try:
return self._... |