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def volume _ set ( amount ) : key. _ _ track ( ) if key. current _ volume ( ) > amount : for i in range ( 0, int ( ( key. current _ volume ( ) - amount ) / 2 ) ) : key. volume _ down ( ) else : for i in range ( 0, int ( ( amount - key. current _ volume ( ) ) / 2 ) ) : key. volume _ up ( )
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def get _ image _ num ( self ) : return int ( self. _ entry [ 2 ] )
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def with _ path ( self, path ) : new _ command = copy. deepcopy ( self ) new _ command. _ paths. append ( str ( path ) ) return new _ command
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def marshal ( self ) : return self. _ marshal ( [ self. fragment ] )
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def get _ roi ( image ) : return image [ 270 : 450, 140 : 480 ]
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def do _ what ( self, args ) : args = self. process _ args ( args ) try : print getattr ( self, " config " ) ['% s'% ( args ) ] except : pass
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def openfile ( fl, type _ str ) : # import pdb ; pdb. set _ trace ( ) if not os. path. isfile ( fl ) : msg. printandexit ('file does not exist : % s'% fl ) fp = util. opencompressfile ( fl ) if fp = = none : err _ msg ( type _ str + fl ) return fp
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def getnetworklist ( self, session ) : self. getlogger ( ). debug ('getnetworklist ( )') return session. query ( networks ). all ( )
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def clear _ current _ layer ( ) : layer = rs. currentlayer ( ) clear _ layer ( layer )
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def read _ metric ( self ) : return int ( self. traffic _ dropdown. text ( ). split ( '.') [ 0 ] )
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def value ( self, x ) : if x is none : self. _ value = none elif self. type _ cast is not none : self. _ value = self. type _ cast ( x ) else : self. _ value = str ( x ) or none
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def _ _ repr _ _ ( self ) - > str : # delegate to list, takes care of printing really big lists. # don't return original, it requires inverse op. return repr ( self. _ st )
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def split _ range ( range _ str ) : ranges = [ ] for sub in range _ str. split ( ',') : if'-'in sub : subrange = sub. split ('-') for i in range ( int ( subrange [ 0 ] ), int ( subrange [ 1 ] ) + 1 ) : ranges. append ( i ) else : ranges. append ( int ( sub ) ) return ranges
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def predict ( self, query, threshold = 0. 3, top _ k = none ) : input _ features = convert _ single _ example ( inputexample ( guid = none, text _ a = query, text _ b = none, label = none ), self. params. max _ seq _ len, self. tokenizer ) feed _ dict = { self. model. input _ ids : np. array ( input _ features. input _...
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def test _ user _ cannot _ register _ with _ existing _ username ( self ) : res = self. client ( ). post ( self. full _ url ('auth / signup'), data = json. dumps ( self. data [ " user " ] ), content _ type ='application / json') res = self. client ( ). post ( self. full _ url ('auth / signup'), data = json. dumps ( sel...
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def get _ text _ from _ subnode ( self, subnode _ xpath _ expr ) : sub _ node = self. node. find ( subnode _ xpath _ expr ) if sub _ node is not none : return sub _ node. text return none
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def flush _ buffer ( self ) : rc = self. config. resource game _ id = datetime. now ( ). strftime ( " % y % m % d - % h % m % s. % f " ) path = os. path. join ( rc. play _ data _ dir, rc. play _ data _ filename _ tmpl % game _ id ) logger. info ( f " save play data to { path } " ) save _ as _ pickle _ object ( path + "...
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def _ _ eq _ _ ( self, other ) : return self. real = = other. real and self. imag = = other. imag
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def post ( self, request : request ) - > response. response : try : encounter : models. encounter = models. encounter. create _ from _ json ( data = request. data, patient _ profile = request. user. patient _ profile ) except custom _ exceptions. datafornewencounternotprovidedexception as e : return response. response ...
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def taskflow _ upstream ( task, only _ complete = false ) : tasks = d6tflow. utils. traverse ( task ) if only _ complete : tasks = [ t for t in tasks if t. complete ( ) ] return tasks
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def _ get _ props ( name, prop _ map, * * kwargs ) : # look up properties associated with this specific sensor props = prop _ map. setdefault ( name, { } ) # look up properties associated with this class of sensor for key, val in prop _ map. items ( ) : if'*'in key : regex = '. * '. join ( re. escape ( part ) for part ...
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def target _ design _ member ( self, target _ design _ member ) : self. _ target _ design _ member = target _ design _ member
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def has _ non _ source _ parents ( self, asset _ key : assetkey ) - > bool : if self. is _ source ( asset _ key ) : return false return any ( not self. is _ source ( parent _ key ) for parent _ key in self. get _ parents ( asset _ key ) - { asset _ key } )
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def id ( self ) : return self ['id']
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def merge ( g1, g2 ) : g3nslst = list ( set ( g1. vs ['name'] [ : ] ) | set ( g2. vs ['name'] [ : ] ) ) g3 = graph ( 0, directed = true ) g3. add _ vertices ( g3nslst ) g3elst = [ ] for e in g1. get _ edgelist ( ) : g3elst. append ( ( g1. vs ['name'] [ e [ 0 ] ], g1. vs ['name'] [ e [ 1 ] ] ) ) for e in g2. get _ edgel...
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def _ read ( self, command, length, retry _ count = 3 ) : assert hasattr ( self,'_ i2c _ read'), ( " programming error, the read stream has not been initialized " ) assert hasattr ( self. _ i2c _ read,'read'), ( " programming error, the read stream object is not a stream. " ) for i in range ( retry _ count ) : self. _ ...
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def unbroadcast ( array ) : if array. ndim = = 0 or not hasattr ( array,'strides') : return array new _ shape = np. where ( np. array ( array. strides ) = = 0, 1, array. shape ) return as _ strided ( array, shape = new _ shape )
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def get _ products _ by _ user ( self, user ) : products = self. db. query ( user. select _ sql _ query _ prod ) return products
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def getlist ( self, key, default = _ unset ) : if not self. cf. has _ option ( self. main _ section, key ) : if default is _ unset : raise nooptionerror ( key, self. main _ section ) return default s = self. get ( key ). strip ( ) res = [ ] if not s : return res for v in s. split ( ", " ) : v = v. strip ( ) if v : res....
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def get _ road _ mapping ( self, response ) : data = json. loads ( response. body _ as _ unicode ( ) ) for r in data [ " data " ] : item = eventspideritem ( ) rdname = r [ u'roadlinename'] rdid = int ( r [ u'code'] ) content = r [ u'name']. encode ('utf8') occurtime = [ str ( content ). split (',') ] [ 0 ] xy = " { 0 }...
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def test _ shuffle ( self ) : n _ tests = 10000 # results [ n _ cards ] [ n _ cards ] rows are each card ( i. e the ace of spades ) and # columns are counts of the number of times the card was shuffled # into that index ( order ) of the deck by the knuth shuffle algo. results = [ [ 0 for n in range ( n _ cards ) ] for ...
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def group _ by ( func, values ) : groups = defaultdict ( list ) for value in values : groups [ func ( value ) ]. append ( value ) return dict ( groups )
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def test _ email ( self ) : res = self. client ( ). post ( self. full _ url ('auth / signup'), data = json. dumps ( self. data [ " invalid _ email " ] ), content _ type ='application / json') self. assertequal ( res. status _ code, 400 )
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def apply ( self, posting _ id, data ) : response = self. session. post ( self. _ endpoint ( f'/ v0 / postings / { self. site _ name } / { posting _ id }'), data = data ). json ( ) if'ok'in response. keys ( ) and response ['ok'] is false : raise levererror ( response ['error'] ) return response ['applicationid']
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def snapshot _ get _ all _ by _ project ( context, project _ id ) : return impl. snapshot _ get _ all _ by _ project ( context, project _ id )
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def test _ upload _ attachment ( self ) : perform _ attachment _ upload _ test = libmonzotests. config [ " perform _ attachment _ upload _ test " ] if not perform _ attachment _ upload _ test : return file _ path = os. path. realpath ( _ _ file _ _ ) folder _ path = os. path. dirname ( file _ path ) image _ path = os. ...
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def provision _ blueprint ( self ) : # we don't really deploy the new blueprint. as a poc hack we look for # a running app instance that was created from the blueprint that we're # interested in. name = self. job ['environment'] ['blueprint'] apps = self. client. get _ applications _ metadata ( ) for app in apps : if a...
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def test _ gsuites _ patch ( self ) : pass
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def get _ nodes ( self, request ) : nodes = [ ] nodes. append ( navigationnode ( _ ('authors'), reverse ('objectapp _ author _ list'),'authors') ) for author in author. published. all ( ) : nodes. append ( navigationnode ( author. username, reverse ('objectapp _ author _ detail ', args = [ author. username ] ), author....
[ -0.8949753642082214, 0.3908153772354126, 0.2681216895580292, 0.31939560174942017, 0.7562690377235413, 0.4284144639968872, 0.19213974475860596, 0.78875732421875, 0.4195190370082855, 0.15854871273040771, 0.5650720596313477, 0.7408263683319092, 0.9500735402107239, 0.2258685976266861, -0.520...
async def recover _ deleted _ key ( self, name : str, * * kwargs : " any " ) - > keyvaultkey : polling _ interval = kwargs. pop ( " _ polling _ interval ", 2 ) recovered _ key = keyvaultkey. _ from _ key _ bundle ( await self. _ client. recover _ deleted _ key ( self. vault _ endpoint, name, * * kwargs ) ) command = pa...
[ -0.2169281244277954, -0.06490792334079742, 0.7381635308265686, 0.8380069732666016, -0.34196576476097107, -0.3401597738265991, -0.8572403788566589, -0.7623434662818909, 0.3907707631587982, -0.37413427233695984, -0.40559715032577515, 0.2049669474363327, 0.2262144386768341, -0.546789169311523...
def return _ adj ( nominal _ group ) : # init k = 1 adj _ list = [ ] # if nominal _ group is empty if not nominal _ group : return [ ] # we assumed that the noun represented by 1 element at the end if nominal _ group [ 0 ] in resourcepool ( ). determinants : while k < len ( nominal _ group ) : if is _ an _ adj ( nomina...
[ -0.8459430932998657, 0.1736568957567215, 0.3586152195930481, -0.0382351279258728, -0.7645367383956909, 0.11543834209442139, -0.45448434352874756, -0.6302282214164734, 0.41994407773017883, 0.6946038007736206, 0.870305597782135, 0.48350170254707336, -1.4904216527938843, 1.2433756589889526, ...
def interval _ var _ dict ( keys, start = none, end = none, length = none, size = none, intensity = none, granularity = none, optional = false, name = none ) : start = _ check _ arg _ interval ( start, " start " ) end = _ check _ arg _ interval ( end, " end " ) length = _ check _ arg _ interval ( length, " length " ) s...
[ -0.6247186064720154, -0.3090904653072357, 0.7346484065055847, -0.49917200207710266, -1.0159993171691895, 0.20144230127334595, -0.09966682642698288, -0.09752632677555084, -1.1594252586364746, 1.349886178970337, -0.7864596247673035, 0.025944648310542107, -0.5844106078147888, 0.09889315813779...
def remove _ bad _ flow _ masks ( masks, flows, threshold = 0. 4 ) : merrors, _ = metrics. flow _ error ( masks, flows ) badi = 1 + ( merrors > threshold ). nonzero ( ) [ 0 ] masks [ np. isin ( masks, badi ) ] = 0 return masks
[ -0.20449961721897125, -0.9444421529769897, 0.30420970916748047, 0.5970939993858337, 0.23836207389831543, 0.1444084495306015, -0.016881363466382027, -0.23370857536792755, 0.20398421585559845, -0.4145098030567169, 0.17433807253837585, 0.6993278861045837, -0.23763638734817505, -0.285091251134...
def tal _ to _ mni ( foci ) : trans = np. array ( [ [ 0. 9254, 0. 0024, - 0. 0118, - 1. 0207 ], [ - 0. 0048, 0. 9316, - 0. 0871, - 1. 7667 ], [ 0. 0152, 0. 0883, 0. 8924, 4. 0926 ], [ 0. 0, 0. 0, 0. 0, 1. 0 ] ] ). t trans = linalg. pinv ( trans ) foci = np. hstack ( ( foci, np. ones ( ( foci. shape [ 0 ], 1 ) ) ) ) ret...
[ -0.49544793367385864, -0.7986617088317871, 0.7530809044837952, -0.4615325927734375, -0.3313629925251007, -0.013853832148015499, -0.014186486601829529, -0.06277535110712051, 1.2311453819274902, 0.9653687477111816, -0.6213147044181824, -0.46365517377853394, 0.811363697052002, -0.659910976886...
def _ write _ checkpoint _ metrics ( checkpoint _ path, metrics _ and _ values, eval _ name, current _ metrics ='current. metrics') : path = checkpoint _ metrics _ path ( checkpoint _ path, eval _ name ) experiment _ metrics _ path = checkpoint _ metrics _ path ( checkpoint _ path, eval _ name, file _ name = current _ ...
[ -0.23974041640758514, -0.481575071811676, 0.32658061385154724, 0.03480437397956848, 0.436204731464386, 0.45458677411079407, 0.547238826751709, 0.25126469135284424, -1.385018229484558, 0.5134885907173157, 0.21899661421775818, -0.25787001848220825, 0.5739907026290894, -0.02844427153468132, ...
def plot _ nll ( nll _ dict, xlims = none, nstep = 50, ylims = none, decay = false ) : if xlims is none : xmin = 1e - 28 xmax = 1e - 24 else : xmin = xlims [ 0 ] xmax = xlims [ 1 ] xvals = np. logspace ( np. log10 ( xmin ), np. log10 ( xmax ), nstep ) fig = plt. figure ( ) axis = fig. add _ subplot ( 111 ) axis. set _ ...
[ 0.7558953166007996, 0.2638032138347626, 0.8527625799179077, -0.9696519374847412, -0.9883461594581604, 0.6742152571678162, -0.9658136963844299, -0.527493417263031, 0.22737537324428558, -0.337837815284729, -0.12735621631145477, 0.16329921782016754, 0.18150420486927032, 0.48090988397598267, ...
def movecharacter ( self, x, y ) : self. character. move ( x, y ) self. allcharacters. update ( )
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def _ test ( self, method ) : stream = nativestringio ( ) trialrunner = runner. trialrunner ( reporter. reporter, stream = stream ) test = malformedmethodtests. containmalformed ( method ) result = trialrunner. run ( test ) self. assertequal ( result. testsrun, 1 ) self. assertfalse ( result. wassuccessful ( ) ) self. ...
[ -0.25493377447128296, 0.29913756251335144, 0.3966965079307556, -0.24447676539421082, 0.28677898645401, 0.3776332437992096, 0.03921546787023544, 0.22551178932189941, -0.10629302263259888, -1.0530643463134766, 0.20974960923194885, -0.34560245275497437, -0.458520770072937, 0.7167931795120239,...
def setup _ expt ( expt, ftype ='yaml') : if ftype = ='yaml': cfg = yaml. load ( expt ) else : cfg = expt home = expanduser ('~') expt _ dir ='{ } / energy - py - results / { } '. format ( home, cfg ['expt'] ['name'] ) makedirs ( expt _ dir, exist _ ok = true ) expt _ logger = make _ new _ logger ('expt ', expt _ dir )...
[ -0.42777493596076965, 0.7004144787788391, 0.5042767524719238, -0.12363515794277191, -0.6960588097572327, -0.736431360244751, 0.23079955577850342, 0.48143270611763, 0.6713109612464905, 0.7113731503486633, 0.11557696759700775, -0.21976524591445923, -0.45972177386283875, 1.0054558515548706, ...
def disconnect ( self, conn ) : self. hold ( ) self. clear ( true ) self. labels. pop ( conn, none ) self. inputs. remove ( conn ) self. leninputs = len ( self. inputs )
[ -0.7718963623046875, -0.49753788113594055, 0.43316712975502014, -0.6950333118438721, -0.21728794276714325, 0.49190381169319153, -0.28483444452285767, 0.0986180230975151, -0.022197552025318146, -0.3852123022079468, -0.1945185512304306, -0.6193283796310425, -0.7268692255020142, -0.1936604827...
def testcrosstablerule ( indata, ruledict ) : errors = [ ] if type ( ruledict ['total'] ) = = list : totals = [ indata [ x ] for x in ruledict ['total'] ] x ='{ 0 :. 6f } '. format ( totals [ 0 ] ) minicmplist = [ x for y in totals if'{ 0 :. 6f } '. format ( y )! = x ] if not any ( minicmplist ) : total = totals [ 0 ] ...
[ -0.15574528276920319, 0.3992185592651367, 0.9842891693115234, -0.8668285608291626, 0.04746061563491821, 0.5181682705879211, 0.42482706904411316, 0.11184113472700119, -0.17076446115970612, 0.3740065097808838, -0.0604509599506855, 0.02716176025569439, -0.28373998403549194, 0.3539622724056244...
def main ( ) : obj = generalobjectdetection ( ) obj. run _ images ( )
[ -0.011820661835372448, -0.026137137785553932, 0.3418789803981781, 1.6114734411239624, 1.1535120010375977, 0.4335411787033081, 1.0970516204833984, 0.25963643193244934, -0.29156431555747986, -0.7585775256156921, -0.3094087541103363, 0.665800154209137, 0.35910168290138245, 0.6400954723358154,...
def macos _ open _ header ( infile ) : if infile is not none : return open ( infile, " rb " ) # the headers may be in one of these places. bases = [ " / ", ( " / applications / xcode. app / contents / developer / platforms " + " / macosx. platform / developer / sdks / macosx. sdk " ), " / library / developer / commandl...
[ 0.386353075504303, 0.09042920172214508, 0.8504615426063538, 0.6985213160514832, -0.7111296653747559, 0.07649916410446167, 0.6623427867889404, -0.3650067150592804, -0.9518722295761108, -0.6233611702919006, 0.3555806577205658, -0.47616252303123474, -0.6496330499649048, -0.028226453810930252,...
def _ git ( self, cmd ) : self. ensure _ one ( ) # _ logger. debug ( " git command : git - - git - dir = % s % s ", self. path,''. join ( cmd ) ) _ logger. debug ( " git command : git - - git - dir = % s % s ", self. path, cmd ) cmd = ['git ','- - git - dir = % s'% self. path ] + cmd return subprocess. check _ output (...
[ -0.005690245423465967, -0.2535940110683441, 0.5162670016288757, -0.42934930324554443, -0.15807516872882843, 0.125091090798378, -0.43600955605506897, -0.9012517333030701, -0.03700276091694832, -0.10380299389362335, 0.4537065029144287, 0.3220070004463196, -0.3703683912754059, 0.0750753581523...
def setupclass ( cls ) : cls. _ cluster _ spec = multi _ worker _ test _ base. create _ in _ process _ cluster ( num _ workers = num _ workers, num _ ps = 0 )
[ 0.39371851086616516, -0.1357717663049698, 0.44045186042785645, 0.2070832997560501, 1.3193755149841309, -0.0198221355676651, 0.9979784488677979, 0.633211612701416, -0.09207505732774734, 0.08475209027528763, 0.32351741194725037, 0.3351250886917114, -0.551953911781311, 0.2720198929309845, -...
def smape ( actual, forecast, ae, nan _ flag = true ) : if nan _ flag : return ( np. nansum ( ( ae / ( abs ( forecast ) + abs ( actual ) ) ), axis = 0 ) * 200 ) / np. count _ nonzero ( ~ np. isnan ( actual ), axis = 0 ) else : return ( np. sum ( ( ae / ( abs ( forecast ) + abs ( actual ) ) ), axis = 0 ) * 200 ) / actua...
[ -0.284251868724823, 0.3392738699913025, 0.6535975337028503, -0.07636810839176178, -0.8318721055984497, 0.4126143455505371, -0.25798216462135315, 0.5594397783279419, 0.7977936863899231, 1.4536548852920532, 0.5448927879333496, -0.04044455289840698, 1.2051522731781006, -0.0382179394364357, ...
def gengabor ( sz, omega, theta, func = np. cos, k = np. pi ) : radius = ( int ( sz [ 0 ] / 2. 0 ), int ( sz [ 1 ] / 2. 0 ) ) [ x, y ] = np. meshgrid ( range ( - radius [ 0 ], radius [ 0 ] + 1 ), range ( - radius [ 1 ], radius [ 1 ] + 1 ) ) x1 = x * np. cos ( theta ) + y * np. sin ( theta ) y1 = - x * np. sin ( theta )...
[ 0.18161490559577942, -0.09643696248531342, 0.8132122159004211, -0.40895456075668335, -0.33498096466064453, 0.5496088266372681, 0.42135089635849, 0.2164565771818161, -0.1729702204465866, 0.8685469031333923, -0.7418328523635864, 0.5309613347053528, -0.28957292437553406, 0.008750064298510551,...
def test _ elem _ volume ( ) : # test tet elements recognition and calculation filename = os. path. join ( os. path. dirname ( _ _ file _ _ ), " files _ mesh _ test / unstr. h5m " ) tetmesh = mesh ( mesh = filename ) vols = list ( ) for _ _, _ _, ve in tetmesh : vols. append ( tetmesh. elem _ volume ( ve ) ) assert np....
[ 0.4449957013130188, -0.0028211495373398066, 0.6073992848396301, 0.31497037410736084, 0.41253626346588135, 0.9933757781982422, 0.44339340925216675, 0.2809007167816162, -0.01599442958831787, -0.8207032680511475, -0.39177748560905457, -0.5043393969535828, 0.26667073369026184, 0.76214396953582...
def _ _ init _ _ ( _ _ self _ _, *, classes : mapping [ str,'outputs. labelclassresponse'], allow _ multi _ select : optional [ bool ] = none, display _ name : optional [ str ] = none ) : pulumi. set ( _ _ self _ _, " classes ", classes ) if allow _ multi _ select is not none : pulumi. set ( _ _ self _ _, " allow _ mul...
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def filter _ types ( self, types ) : # real signature unknown ; restored from _ _ doc _ _ pass
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def expand _ sets ( children : sequence [ " rxnode " ] ) - > set [ str ] : values : set [ str ] = set ( ) for child in children : values | = expand _ set ( child ) return values
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def parse _ slack _ output ( slack _ rtm _ output ) : print slack _ rtm _ output output _ list = slack _ rtm _ output if output _ list and len ( output _ list ) > 0 : for output in output _ list : if output and'text'in output and at _ bot in output ['text'] : # return text after the @ mention, whitespace removed return...
[ 0.7624846696853638, -1.6555699110031128, 0.5989867448806763, -0.8943480253219604, -0.6769104599952698, -0.7675866484642029, -0.10677031427621841, -0.7776241898536682, -1.0441113710403442, 0.33781933784484863, 0.015404793433845043, -0.09681373089551926, -0.8075676560401917, 0.51651561260223...
def mills _ number ( self, player ) : hero _ mills = [ ] villain _ mills = [ ] for l in range ( state. board _ size ) : for r in range ( state. board _ size ) : for c in range ( state. board _ size ) : mill _ cows = self. get _ mill _ coords ( player, l, r, c ) if mill _ cows! = false and mill _ cows not in hero _ mill...
[ -0.26634296774864197, -0.2711048424243927, 0.9240233302116394, -0.12435371428728104, 0.3504502773284912, -0.06768672913312912, 1.1545000076293945, 0.2934023439884186, 0.2553322911262512, -0.06038295105099678, -0.917616069316864, -0.606183648109436, -0.23752529919147491, 0.483805775642395, ...
def getconfig ( self, argobjects = [ ], configfilepaths = [ ], config = config ( ), complementpaths = true ) : config = config # print ( " [ debug ] [ configsetup ] ", configfilepaths ) self. initializeconfigwithdefaultvalues ( config ) for configfilepath in configfilepaths : if os. path. exists ( configfilepath ) : se...
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def append _ next _ digit ( self, digit ) : self. cump + = digit
[ 0.21132393181324005, -0.16444845497608185, 0.38147684931755066, -0.2125595062971115, -0.19760850071907043, 1.2676212787628174, 0.4529450535774231, -0.5758827924728394, 1.1333613395690918, -0.8049522638320923, -0.0015813231002539396, 0.35638195276260376, 0.19353607296943665, 0.9515671730041...
def get _ valid _ sources ( model ) : if model in _ valid _ sources _ : return list ( _ valid _ sources _ [ model ]. keys ( ) ) return none
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def separate _ index ( ix ) : x = lambda ( lambda x : x [ :, : - 1 ] ) ( ix ) index = lambda ( lambda x : x [ :, - 1 ] ) ( ix ) return x, k. cast ( index, dtype ='int32')
[ -1.2498682737350464, 0.343340665102005, 0.41165149211883545, -0.2531526982784271, -0.1312965303659439, -0.22500434517860413, 0.29775407910346985, -0.5633932948112488, 0.8724227547645569, 0.24592188000679016, -0.8491560220718384, 0.6313156485557556, -0.05398352071642876, -1.1278349161148071...
def setup ( self ) : self. test _ dir = tempfile. mkdtemp ( )
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def import _ packages ( self, sequence, cur = none ) : pkgs = [ ] pkgdescs = [ ] # the fields that are to be read. other fields are ignored for control in debian. deb822. packages. iter _ paragraphs ( sequence ) : # check whether packages with architectue'all'have already been # imported t = control ['package'] +'_'+ c...
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def run _ pygame ( self ) : running = true pygame. init ( ) # pygame library initialization pygame. key. set _ repeat ( 100, 100 ) # moving player while long pressing on keys pygame. time. clock ( ). tick ( 40 ) # refresh rate self. window = pygame. display. set _ mode ( ( config. window _ size, 600 ) ) # pygame window...
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def generate _ transaction _ hash ( transaction ) : value = str ( transaction. time ) value + = str ( transaction. version ) for tx _ in in transaction. inputs : value + = str ( tx _ in. data. value ) value + = str ( tx _ in. script. _ script ) value + = str ( tx _ in. tx _ hash ) value + = str ( tx _ in. utxo _ idx ) ...
[ 0.2681369483470917, -0.06505493074655533, 0.6023774743080139, -0.7375813126564026, -0.8930639624595642, 0.30513709783554077, -0.6143726110458374, -0.5433778762817383, -0.5728985667228699, 0.8332258462905884, -1.0361260175704956, -0.22102820873260498, 0.4160066246986389, -0.3527182340621948...
def update _ time _ dependent ( self, dt ) : self. current _ time + = dt if self. current _ time > = self. animation _ time : self. current _ time = 0 self. index = ( self. index + 1 ) % len ( self. images ) self. image = self. images [ self. index ]
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def guess _ letter ( self, letter ) : if letter in self. guessed _ letters : return " you have already guessed the letter { }. ". format ( letter ) elif letter not in self. word : self. tries - = 1 self. hangman = data. stages [ self. tries ] self. guessed _ letters. append ( letter ) if self. tries! = 0 : return ( " t...
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def get _ roc ( scores _ with _ gt, n _ threshs = 400 ) : thresholds = np. linspace ( 0., 4., n _ threshs ) fp _ rates = [ ] tp _ rates = [ ] for threshold in thresholds : fp = 0 tp = 0 for score _ with _ gt in scores _ with _ gt : predict _ same = score _ with _ gt ['score'] < threshold actual _ same = score _ with _ ...
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def to _ var ( tensor, cuda = true ) : if cuda and torch. cuda. is _ available ( ) : return variable ( tensor. cuda ( ) ) else : return variable ( tensor )
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def main ( dataset ) : while true : s = raw _ input ('select : \ n 1. import data array \ n 2. import variable names \ t \ t \ t ( optional ) \ n 3. set uncertainty array \ t \ t \ t ( optional ) \ n 4. assign independent variable \ t \ t ( optional ) \ n 5. assign dependent variable \ t \ t \ t ( optional ) \ n - 0. e...
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def _ is _ matching _ arguments ( sgn, args ) : params = sgn. parameters if params is any _ arguments : return true for a, p in zip _ longest ( args, params ) : if a is not none : # accepted if there is a parameter descriptor that is compatible with argument type if not ( p and a. type. is _ kind _ of ( p. type ) ) : r...
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def _ parse _ fend _ pairs ( self, fend _ pairs ) : if not self. silent : print > > sys. stderr, ( " parsing fend pairs... " ), # convert counts into array fend _ array = numpy. empty ( ( len ( fend _ pairs ), 3 ), dtype = numpy. int32 ) i = 0 for name, count in fend _ pairs. iteritems ( ) : fend _ array [ i, 0 ] = nam...
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def winbio _ winbiogetenabledsetting ( jitter ) : ret _ ad, args = jitter. func _ args _ stdcall ( [ " value ", " source " ] ) raise runtimeerror ('api not implemented') jitter. func _ ret _ stdcall ( ret _ ad, ret _ value )
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def test _ hostname _ alias ( self ) : eq _ ( normalize ( " localhost " ) [ 1 ], " localhost " ) eq _ ( normalize ( " myalias " ) [ 1 ], " otherhost " )
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def kubernetes _ manifest ( ) : exit _ with _ error _ if _ not _ editable _ install ( ) template = template ( ( prefect. _ _ module _ path _ _ / " cli " / " templates " / " kubernetes - dev. yaml " ). read _ text ( ) ) manifest = template. substitute ( { " prefect _ root _ directory " : prefect. _ _ development _ base ...
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def query _ group ( self, options, group _ dn ) : group = self. ldap _ connection. search _ s ( group _ dn, ldap. scope _ subtree, " ( objectclass = * ) ", none ) if group : group = group [ 0 ] if len ( group ) = = 2 and group [ 0 ] and group [ 1 ] : group = group [ 1 ] members = [ ] for member in group [ self. setting...
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def find _ sn _ pos ( sentence, begin _ pos ) : if begin _ pos > = len ( sentence ) : return [ ] end _ pos = 1 # if it is a pronoun if sentence [ begin _ pos ] in resourcepool ( ). pronouns : return [ sentence [ begin _ pos ] ] # if there is a nominal group with determinant if sentence [ begin _ pos ] in resourcepool (...
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def write _ predictions ( predictions, folder = predictions _ save _ dir ) : if not os. path. isdir ( folder ) : os. mkdir ( folder ) print ( f " writing predictions in folder { folder } " ) for i, pred in enumerate ( predictions ) : mpimg. imsave ( f " { folder } test _ { i + 1 }. png ", pred, cmap ='gray')
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def _ _ init _ _ ( self, tool _ inp _ desc, wf _ param _ values, wf _ steps, level, should _ be _ there = false, force _ default = false ) : self. name = tool _ inp _ desc [ " name " ] if " type " not in tool _ inp _ desc : raise valueerror ( f " no type for the parameter { tool _ inp _ desc ['name'] } " ) self. type =...
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def quantile ( self, quantile : float ) - > " dataframe " : return wrap _ df ( self. _ df. quantile ( quantile ) )
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def allow _ origins ( self ) - > sequence [ str ] : return pulumi. get ( self, " allow _ origins " )
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def setup ( self, main _ config _ location, report _ config _ location ) : self. setup _ analysis _ tool _ portfolio ( main _ config _ location ) self. setup _ report _ gen ( report _ config _ location )
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def _ _ init _ _ ( self ) : self. _ username = none self. _ password = none self. _ meters = [ ] self. _ tariff = none self. _ meter _ id = none
[ 0.060461658984422684, -0.7191675901412964, 0.41062232851982117, 0.10347167402505875, 0.6226029396057129, -0.11571071296930313, -0.47466710209846497, -0.3331146836280823, -0.15594150125980377, -0.5889994502067566, -0.9768843054771423, -0.3495677411556244, -0.3393397033214569, 1.154632091522...
def create _ device ( ) : props = dict ( ) props [ " petal " ] = - 1 props [ " device " ] = - 1 props [ " petal _ id " ] = - 1 props [ " device _ id " ] = " none " props [ " device _ type " ] = " none " props [ " cable " ] = - 1 props [ " conduit " ] = " na " props [ " fwhm " ] = 0. 0 props [ " frd " ] = 0. 0 props [ "...
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def assign _ node _ type ( self ) : ds = self. ds rank = ds. mpi. rank size = ds. mpi. size ds. nsmds = int ( os. environ. get ('ps _ smd _ nodes ', np. ceil ( ( size - 1 ) * percent _ smd ) ) ) if rank = = 0 : ds. nodetype ='smd0'elif rank < self. ds. nsmds + 1 : ds. nodetype ='smd'else : ds. nodetype ='bd '
[ -0.4448050856590271, 0.3029841482639313, 0.3953477144241333, -0.017458895221352577, 0.06848764419555664, 0.28964054584503174, 0.670648992061615, -0.07471447438001633, -0.4144159257411957, 0.28442248702049255, 0.34102863073349, 1.841996192932129, -0.5119004845619202, 1.6587345600128174, 0...
def study _ c _ and _ sigma _ gridcv ( c _ range, sigma _ range ) : best _ c, best _ sigma = 0, 0 # placeholders # load the data data = skl. datasets. load _ breast _ cancer ( ) x, y = data [ " data " ], data [ " target " ] # shuffle the data x, y = skl. utils. shuffle ( x, y, random _ state = 1 ) # todo start paramete...
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def retrieve _ target _ handles ( self ) : handles = [ ] if self. contact = ='_ _ all _ _': self. add _ all _ handles ( ) else : for entry in self. chat _ table : number = entry [ 6 ] if re. match ( rf " \ + 1 { self. contact } ", number ) : handles. append ( ( entry [ 0 ], entry [ 6 ], entry [ 1 ] ) ) if len ( handles...
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def worker ( self, batch _ samples = none ) : batch = [ ] for sample in batch _ samples : sample = self. _ sample _ transforms ( sample ) batch. append ( sample ) if len ( batch ) > 0 and self. _ batch _ transforms : batch = self. _ batch _ transforms ( batch ) if len ( batch ) > 0 and self. _ fields : batch = batch _ ...
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def makemove ( self, movable _ statement ) : # # # student code goes here tile = movable _ statement. terms [ 0 ] initx = movable _ statement. terms [ 1 ] inity = movable _ statement. terms [ 2 ] finx = movable _ statement. terms [ 3 ] finy = movable _ statement. terms [ 4 ] # if ( initx = = finx and inity = = finy ) :...
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def start ( self ) : schedule. every ( self. configuration. data ['frequency'] ). seconds. do ( self. execute )
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def addoption ( self, option ) : self. options [ option. varname. parametervalue ] = option
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def bin _ centers ( x ) : return [ ( a + b ) / 2. 0 for a, b in zip ( x [ : - 1 ], x [ 1 : ] ) ]
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def new ( ) : return { " rows " : [ ], " cols " : none }
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def magnitude _ orientation ( gx, gy ) : magnitude = np. hypot ( gx, gy ) orientation = ( np. arctan2 ( gy, gx ) * 180 / np. pi ) % 180 return magnitude, orientation
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