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def test _ mnl _ utility _ transform ( self ) : array _ 1 = np. arange ( 3 ) array _ 2 = np. arange ( 6 ). reshape ( ( 3, 2 ) ) for array in [ array _ 1, array _ 2 ] : results = mixed _ logit. mnl _ utility _ transform ( array ) self. assertequal ( len ( results. shape ), 2 ) self. assertequal ( results. shape, ( array... | [
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def getfltattrvece ( self, * args ) : return _ snap. pneanetmp _ getfltattrvece ( self, * args ) | [
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async def async _ setup _ platform ( hass : homeassistant, config : configtype, async _ add _ entities : addentitiescallback, discovery _ info : discoveryinfotype | none = none, ) - > none : name = config. get ( conf _ name ) port = config. get ( conf _ serial _ port ) baudrate = config. get ( conf _ baudrate ) bytesiz... | [
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def addfltattrn ( self, * args ) : return _ snap. pneanetmp _ addfltattrn ( self, * args ) | [
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def _ gathering _ topics ( self ) : topic = self. opts ['topic'] topic _ file = f " { topic }. yaml " if topic else none for path, dirs, filenames in chain. from _ iterable ( os. walk ( p ) for p in self. paths ) : if not '. git'in path : if not topic : for filename in takewhile ( lambda f : f. endswith ( self. topic _... | [
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def parse _ file ( file, game _ board ) : file = open ( file,'r') parser. parse _ players _ from _ file ( file, game _ board ) parser. parse _ board ( file. read ( ), game _ board ) file. close ( ) | [
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def is _ active ( self ) : return not self. is _ banned | [
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def deploy ( * * kwargs ) : # import deployments module from lib import deployments # append current task id to kwargs to be passed deployment object kwargs ['task _ id'] = current _ task. request. id # instantiate deployment object d = deployments. deployment ( * * kwargs ) # execute deployment. deploy ( ) and return ... | [
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def _ _ lt _ _ ( self, * args ) : return _ snap. tfltpr _ _ _ lt _ _ ( self, * args ) | [
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def select ( self, * args ) : return _ snap. ttable _ select ( self, * args ) | [
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def rotkehlchen _ server _ with _ exchanges ( rotkehlchen _ server, function _ scope _ kraken, function _ scope _ poloniex, function _ scope _ bittrex, function _ scope _ binance, ) : rotkehlchen _ server. rotkehlchen. kraken = function _ scope _ kraken rotkehlchen _ server. rotkehlchen. poloniex = function _ scope _ p... | [
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def tungraph _ load ( * args ) : return _ snap. tungraph _ load ( * args ) | [
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def make _ change _ unoptimal _ space ( n, coins = [ 1, 2, 5 ] ) : print ('- - -') k = len ( coins ) dp = [ [ 1 ] + [ 0 ] * n for _ in range ( k + 1 ) ] for row in range ( 1, k + 1 ) : coin = coins [ row - 1 ] for col in range ( 1, n + 1 ) : dp [ row ] [ col ] = dp [ row - 1 ] [ col ] + ( dp [ row ] [ col - coin ] if c... | [
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def get _ fs _ connections ( ) : logger. info ( " get _ fs _ connections ( ) " ) sockets = eventsocketconfig. objects. all ( ) if sockets : logger. info ( " % s eventsockets " % len ( sockets ) ) else : logger. info ( " no eventsockets " ) for socket in sockets : logger. info ( " creating eslconnection " ) yield esl. e... | [
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def getval ( self, * args ) : return _ snap. tintfltkdv _ getval ( self, * args ) | [
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def test _ example _ input _ one _ delete _ row _ frontend _ validation ( self, ucc _ smartx _ selenium _ helper, ucc _ smartx _ rest _ helper, add _ input _ one ) : input _ page = inputpage ( ucc _ smartx _ selenium _ helper, ucc _ smartx _ rest _ helper ) input _ page. table. input _ status _ toggle ( " dummy _ input... | [
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def trip _ duration _ stats ( df ) : print ('\ ncalculating trip duration... \ n') start _ time = time. time ( ) # from the load _ data function, df is already given as filtered # ( meaning that the rows are shortened ( less than the total number of rows in a dataframe ) ) # thus only need to find the total sum of the ... | [
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def test _ list _ decimal _ pattern _ 3 _ nistxml _ sv _ iv _ list _ decimal _ pattern _ 4 _ 2 ( mode, save _ output, output _ format ) : assert _ bindings ( schema = " nistdata / list / decimal / schema + instance / nistschema - sv - iv - list - decimal - pattern - 4. xsd ", instance = " nistdata / list / decimal / sc... | [
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def addvmerged ( self, * args ) : return _ snap. tintv _ addvmerged ( self, * args ) | [
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def initui ( self ) : self. settitle ( " rysowanie _ zestawu " ) self. centre ( wx. both ) self. setsize ( 700, 700 ) menubar = wx. menubar ( ) self. setmenubar ( menubar ) self. centre ( ) self. grid = wx. grid. grid ( self, - 1 ) self. grid. setdefaultrowsize ( 1 ) self. grid. setdefaultcolsize ( 1 ) self. grid. crea... | [
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def system _ time ( ) : consoleoutput = exec _ console _ command ( constants. outputtime ) return consoleoutput + " \ n " | [
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def delete ( self ) : if self. _ animation : clock. unschedule ( self. _ animate ) self. _ vertex _ list. delete ( ) self. _ vertex _ list = none self. _ texture = none # easy way to break circular reference, speeds up gc self. _ group = none | [
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def setup ( self ) : super ( testregionsshell, self ). setup ( ) self. region _ valid _ fields = namespace ( project _ id = 1, id = 1, name ='mock _ region') self. region _ invalid _ field = namespace ( project _ id = 1, id = 1, name ='mock _ region ', invalid _ foo ='ignored') | [
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def test _ with _ format ( ) : pytest. debug _ func ( ) wobj = nldt. moment ('dec 29, 2016 ','% b % d, % y ', itz ='local') assert wobj ( ) = ='2016 - 12 - 29'with pytest. raises ( valueerror ) as err : # payload wobj = nldt. moment ('dec 29 2016 ','% b % m, % y') msg = " time data'dec 29 2016'does not match format'% b... | [
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def create _ message ( ) : if request. method = ='post': # if incommming request data is a json object. if request. is _ json : title = request. get _ json ( ) ['title'] content = request. get _ json ( ) ['content'] sender = request. get _ json ( ) ['sender'] url = request. get _ json ( ) ['url'] # if incomming request... | [
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def geteainti ( self, * args ) : return _ snap. tneanet _ geteainti ( self, * args ) | [
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def _ _ init _ _ ( self, * args ) : _ snap. tmodenetedgei _ swiginit ( self, _ snap. new _ tmodenetedgei ( * args ) ) | [
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def last ( self, * args ) : return _ snap. tintfltkdv _ last ( self, * args ) | [
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def cumprod ( x, axis = 0, exclusive = false, reverse = false, name = none ) : with ops. name _ scope ( name, " cumprod ", [ x ] ) as name : x = ops. convert _ to _ tensor ( x, name = " x " ) return gen _ math _ ops. cumprod ( x, axis, exclusive = exclusive, reverse = reverse, name = name ) | [
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def tagsearch _ n _ open ( self, tag _ name = " # parashar " ) : self. text _ to _ speech ( " searching for tag { } ". format ( tag _ name ) ) self. _ _ search _ tag ( tag _ name ) try : self. _ _ open _ first _ tile ( ) except exception as e : logging. error ( e, exc _ info = true ) self. text _ to _ speech ( " tag se... | [
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def to _ borders ( arr, min _ value, max _ value ) : arr [ np. where ( arr < min _ value ) [ 0 ] ] = min _ value arr [ np. where ( arr > max _ value ) [ 0 ] ] = max _ value return arr | [
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def town _ name ( self, town _ name ) : if town _ name is none : raise valueerror ( " invalid value for ` town _ name `, must not be ` none ` " ) # noqa : e501 if town _ name is not none and len ( town _ name ) > 35 : raise valueerror ( " invalid value for ` town _ name `, length must be less than or equal to ` 35 ` " ... | [
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def do _ test _ image ( self, img, srv ) : if img! = " " and srv! = " " : imageid = img servertype = srv else : print ( " usage : test _ image < image id > < server type > " ) return print ( " image id : " + imageid ) print ( " server type : " + servertype ) testserver = self. get _ architecture ( servertype ) if tests... | [
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def index _ card ( self, indexable _ card ) : self. deck. index ( card. check ( indexable _ card ) ) | [
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def ttable _ normalizecolname ( * args ) : return _ snap. ttable _ normalizecolname ( * args ) | [
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def getprimhashcd ( * args ) : return _ snap. tstrhashf _ oldglib _ getprimhashcd ( * args ) | [
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def callback _ wrapper ( resolve _ fn : resolvefunc [ tresult ], resolve _ value : t ) - > none : result = onfullfilled ( resolve _ value ) # if returned value is a promise then this promise needs to be # resolved with the value of returned promise. if isinstance ( result, promise ) : result. then ( lambda value : reso... | [
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def test _ minimize _ expsum2d _ bounded ( self ) : opt _ params = {'eta': 1,'eta _ min': 1,'eps': 1e - 12,'discrete': true,'bounds': cconstraintbox ( lb = - 1, ub = 1 ) } self. _ test _ minimize ( coptimizerpgdls,'poly - 2 ', opt _ params = opt _ params, label ='poly - discrete - bounded ', ) | [
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def testsplitgcspath ( self ) : bucket, object _ uri = gcp _ storage. splitgcspath ('gs : / / fake - bucket / fake - folder / fake - object') self. assertequal ('fake - folder / fake - object ', object _ uri ) self. assertequal ('fake - bucket ', bucket ) | [
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def findstrongs ( word, words _ rc ) : # tricky : the config. yaml does not provide sufficient information to # locate the word, however we only have 3 options. # there should not be any duplicates within these folders. logger = logging. getlogger ( logger _ name ) numbers = [ ] data = words _ rc. read _ chunk ('kt ', ... | [
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def getdat ( self, * args ) : return _ snap. tintprv _ getdat ( self, * args ) | [
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def to _ onehot ( vec, num _ classes, fill = 1000 ) : onehot _ result = vec. new ( vec. size ( 0 ), num _ classes ). float ( ). fill _ ( - fill ) arange _ inds = vec. new ( vec. size ( 0 ) ). long ( ) torch. arange ( 0, vec. size ( 0 ), out = arange _ inds ) onehot _ result. view ( - 1 ) [ vec + num _ classes * arange ... | [
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def my _ operation ( self, text ) : self. extract _ entity _ counts ( text ) return self. gpe, self. person, self. org | [
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def write _ bias _ data ( sdata, ccd, quad, overclock, stime, bad _ col ) : if quad = = 0 : start = 1 end = 256 elif quad = = 1 : start = 257 end = 512 elif quad = = 2 : start = 513 end = 768 elif quad = = 3 : start = 769 end = 1024 # # - - - extract the part ( quad ) we need # tdata = sdata [ 1 : 1204, int ( start ) :... | [
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def tstr _ getspacestr ( * args ) : return _ snap. tstr _ getspacestr ( * args ) | [
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def add _ books ( request ) : base = get _ base ( request ) if userprofile. objects. get ( user = request. user ). entity! ='staff': return redirect ('/ home /') if request. method = = " post " : book _ number _ init = int ( request. post. get ( " book _ number _ init " ) ) book _ number _ end = int ( request. post. ge... | [
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def _ _ init _ _ ( self, * args ) : _ snap. tstrinthi _ swiginit ( self, _ snap. new _ tstrinthi ( * args ) ) | [
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def get _ albums ( ) : # connect to the database db = connect _ minerva _ db ( ) # return all the albums as a list albums = list ( db. albums. find ( ) ) return albums | [
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def _ _ eq _ _ ( self, * args ) : return _ snap. tintfltvhi _ _ _ eq _ _ ( self, * args ) | [
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def _ servicefacility ( self, action ) : logging. debug ( " executing action % s on service % s ", self. name, action ) cmd = [ basedefs. exec _ service, self. name, action ] return execcmd ( cmdlist = cmd, usepipefiles = true ) | [
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def count ( self, * args ) : return _ snap. ttable _ count ( self, * args ) | [
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def cart _ id ( self, cart _ id ) : self. _ cart _ id = cart _ id | [
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def union ( self, x, y ) : x _ raiz = self. find ( x ) y _ raiz = self. find ( y ) self. link ( x _ raiz, y _ raiz ) | [
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def shopify _ create _ log ( self, message = false, model _ id = false, product = false, log _ line _ array = false ) : log _ line _ vals = { " message " : message, " model _ id " : model _ id, " product _ id " : product and product. id or false, " default _ code " : product and product. default _ code or false } log _... | [
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def rmsnormalization ( signal, desired _ rms _ lvl ) : # convert to linear scale r = 10 * * ( desired _ rms _ lvl / 20 ) scaling _ factor = np. sqrt ( ( len ( signal ) * r * * 2 ) / sum ( signal * * 2 ) ) output = signal * scaling _ factor return output | [
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def simulate _ ret ( position, num _ trials ) : cumu _ ret = { } daily _ ret = { } # create a dictionary for daily return with key be the specific single day, # value be the corresponding expected return position _ value = 1000 / position positionret = 0 for trial in range ( 1, num _ trials + 1 ) : positionret = simula... | [
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def add _ plot ( self, step = none, sol = none, datasource = none, colormap = none, mesh _ size = none ) : if step is none : step = self. default _ step _ idx if sol is none : sol = self. default _ sol _ idx if datasource is none : datasource = self. datasource plot = plot ( step, sol, mesh _ size, datasource, colormap... | [
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def one _ hot _ decode ( one _ hot ) : if type ( one _ hot ) is not np. ndarray : return none if len ( one _ hot ) = = 0 or len ( one _ hot. shape )! = 2 : return none labels = np. argmax ( one _ hot, axis = 0 ) return labels | [
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def peel _ in _ large ( self, peeled _ branch, peel _ off _ of, peeled _ side ) : # first we see if there is any obstruction for the peeling and if there # is, we try to remove it by isotoping. lg _ cusp = self. _ large _ tt. adjacent _ cusp ( peeled _ branch, peeled _ side ) sm _ cusp = self. large _ cusp _ to _ small... | [
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def values ( self ) : return self. _ values | [
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def window _ transform _ text ( text, window _ size = 2, step _ size = 1 ) : l = len ( text ) steps = np. arange ( start = - 0, stop = l - window _ size, step = step _ size ) inputs = [ text [ i : i + window _ size ] for i in steps ] outputs = [ text [ step + window _ size ] for step in steps ] return inputs, outputs | [
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def ler ( self, * args, * * kwargs ) - > none : | [
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def os ( self ) : return self. _ os | [
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def getwccs _ pungraph ( * args ) : return _ snap. getwccs _ pungraph ( * args ) | [
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def deg2rad ( arr ) : # todo : is there any reason not to use np. deg2rad? return arr / 180 * np. pi | [
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def get ( self, request, option _ id ) : option = reservationoptions. objects. get ( id = option _ id ) return render ( request, " option. html ", { " option " : option } ) | [
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def parse _ implicit _ response ( uri, state = none, scope = none ) : if not is _ secure _ transport ( uri ) : raise insecuretransporterror ( ) fragment = urlparse. urlparse ( uri ). fragment params = dict ( urlparse. parse _ qsl ( fragment, keep _ blank _ values = true ) ) if'scope'in params : params ['scope'] = scope... | [
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def stay ( self ) : self. _ draw ( ) | [
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-0.35589301586151123,
0.21390050649642944,
-0.7221179604530334,
-0.8111562132835388... |
def deskew _ x ( input _ image : image, output _ image : image = none, angle _ in _ degrees : float = 31. 8, voxel _ size _ x : float = 1, voxel _ size _ y : float = 1, voxel _ size _ z : float = 1, scale _ factor : float = 1, linear _ interpolation : bool = true ) - > image : if not linear _ interpolation : warnings. ... | [
-0.10914881527423859,
0.8966980576515198,
1.1009434461593628,
-0.3171442151069641,
-0.6168434023857117,
-0.1275152713060379,
-0.19497713446617126,
-0.13544784486293793,
0.280157208442688,
-0.41039904952049255,
0.15928690135478973,
0.3334275484085083,
0.36352279782295227,
0.0376858673989772... |
def arccosh ( x ) : try : if x. val < = 1 : raise valueerror ('math domain error') return variable ( x. name, np. arccosh ( x. val ), { k : v / np. sqrt ( x. val * * 2 - 1 ) for ( k, v ) in x. der. items ( ) }, false ) except attributeerror : if x < 1 : raise valueerror ('math domain error') return np. arccosh ( x ) | [
0.12495443224906921,
0.16489434242248535,
0.46021032333374023,
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-1.2710264921188354,
0.31042006611824036,
-0.3017277717590332,
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0.2409498542547226,
0.7244983911514282,
0.8867149353027344,
0.6528320908546448,
-0.2505653202533722... |
def state ( self ) : return { " active " : self. active, " current _ step " : self. current _ step, " step _ delay " : self. step _ delay, " step _ duration " : self. step _ duration, " delay _ complete " : self. _ delay _ complete, " step _ triggered " : self. _ step _ triggered, " step _ complete " : self. _ step _ c... | [
-0.3800481855869293,
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0.47826436161994934,
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0.002083174418658018,
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-0.03670906275510788,
-1.3907209634780884,
-0.6747705936431885,
0.19676966965198517,
0.909602046... |
def rotate ( originx, originy, pointx, pointy, angle ) : qx = originx + math. cos ( angle ) * ( pointx - originx ) - math. sin ( angle ) * ( pointy - originy ) qy = originx + math. sin ( angle ) * ( pointx - originx ) + math. cos ( angle ) * ( pointy - originy ) return qx, qy | [
-0.16915512084960938,
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0.4752331078052521,
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0.20536214113235474,
0.37374401092529297,
0.28526145219802856,
0.4499140679836273,
0.16021260619163513,
-0.01022918988019228,
-1.1989246606826... |
def make _ hamiltonian ( positions, cce _ order, bath _ vertices ) : h _ list = [ ] vertices = bath _ vertices [ cce _ order ] if cce _ order = = 2 : h _ list = [ ] for site in np. unique ( vertices [ :, 0 ] ) : array _ with _ site = a [ np. where ( vertices [ :, 0 ] = = site ) ] for other _ site in array _ with _ site... | [
-0.8578311204910278,
0.1617492288351059,
0.48572611808776855,
0.33144834637641907,
0.7230962514877319,
0.4067467153072357,
0.7355979084968567,
0.12747317552566528,
0.18846088647842407,
0.23855060338974,
-1.3402212858200073,
0.445761114358902,
-0.175379678606987,
-0.19997592270374298,
0.6... |
def gettime ( self, * args ) : return _ snap. tgstatvec _ gettime ( self, * args ) | [
-0.7757095694541931,
0.715808093547821,
0.577365517616272,
0.9295668005943298,
1.4114314317703247,
0.3616938889026642,
1.717734932899475,
-1.3043246269226074,
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0.1388467401266098,
-0.17264015972614288,
-0.7060527801513672,
-0.007222684100270271,
0.7395241856575012,
-0... |
def graph ( self ) : if not mainwidgets [ " main " ]. isrunning ( ) : mainwidgets [ " log " ]. append ( " you must start the topology first! " ) return if options [ " graphing " ] : try : from ui. graphwindow import graphwindow except : mainwidgets [ " log " ]. append ( " error : matplotlib required for graphing capabi... | [
1.155733585357666,
0.6829608678817749,
0.5339447855949402,
0.3546871542930603,
-0.5656135678291321,
0.9971089363098145,
1.6062453985214233,
0.3049689829349518,
0.43194225430488586,
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0.7748829126358032,
1.0484974384307861,
-0.2545895278453827,
0.3409688472747803,
-0.26... |
def data _ attribute _ id ( self ) - > pulumi. output [ str ] : return pulumi. get ( self, " data _ attribute _ id " ) | [
0.6731197237968445,
-0.1831832379102707,
0.30634188652038574,
-0.20049908757209778,
0.2011735737323761,
1.2276474237442017,
0.35177308320999146,
0.7017427682876587,
0.5100305676460266,
0.004313506651669741,
0.3698618412017822,
1.6627898216247559,
0.28446418046951294,
-0.7612701654434204,
... |
def getcrossnetbyid ( self, * args ) : return _ snap. tmmnet _ getcrossnetbyid ( self, * args ) | [
0.6617162227630615,
0.4569249451160431,
0.37575218081474304,
1.1015568971633911,
0.2181473970413208,
-0.2596575617790222,
0.4734432101249695,
-0.6412383913993835,
0.1846817284822464,
0.09315860271453857,
-0.6342048645019531,
-0.8122905492782593,
-1.3679323196411133,
1.7473647594451904,
-... |
def with _ predict _ uri ( self, uri ) : b = self. _ copy ( ) b. config ['predict _ uri'] = uri return b | [
-0.8826783299446106,
0.08232881128787994,
0.4605964720249176,
1.0972938537597656,
-1.1973117589950562,
0.5769159197807312,
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0.7361590266227722,
0.11716847121715546,
-0.773663341999054,
-0.24267511069774628,
0.7896001935005188,
-0.470042884349823,
-0.08466406166553497,
... |
def getintvattrdate ( self, * args ) : return _ snap. tneanet _ getintvattrdate ( self, * args ) | [
-0.11088068783283234,
0.09691858291625977,
0.3709772825241089,
-0.9381824731826782,
0.6293028593063354,
0.39076364040374756,
-0.4865264892578125,
-0.5717201232910156,
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0.5177056193351746,
0.7435284852981567,
-1.1124229431152344,
-1.205841064453125,
-0.1448616087436676,
... |
def classifyatomic ( self, * args ) : return _ snap. ptable _ classifyatomic ( self, * args ) | [
-0.46288934350013733,
0.1524948626756668,
0.5871247053146362,
1.0221126079559326,
-0.4193916320800781,
0.6924606561660767,
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-0.9123098254203796,
-2.091012716293335,
0.7699616551399231,
0.4325120747089386,
0.8005093336105347,
-0.2951715588569641,
-0.0616191141307354,
... |
def enumerate _ model _ node _ outputs ( model, add _ node = false, order = false ) : if not hasattr ( model, " graph " ) : raise typeerror ( # pragma : no cover f " parameter model is not an onnx model but { type ( model ) } " ) if order : edges = [ ] order = { } node _ names = { } for inp in model. graph. input : ord... | [
-0.9659803509712219,
-0.2719433605670929,
0.7106651067733765,
-0.39495164155960083,
-0.8098529577255249,
-0.21615175902843475,
0.571515679359436,
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0.369268000125885,
0.051350187510252,
0.09269160032272339,
0.20250871777534485,
0.28940603137016296,
... |
def _ _ lt _ _ ( self, * args ) : return _ snap. tngraphmpedgei _ _ _ lt _ _ ( self, * args ) | [
-0.168661430478096,
-0.4928978681564331,
0.18122726678848267,
-1.038220763206482,
0.24690277874469757,
-0.27191460132598877,
0.1291349232196808,
-1.496726155281067,
-0.9127715229988098,
-0.4546217918395996,
-0.23782968521118164,
-1.304121732711792,
-1.0885329246520996,
0.6199612617492676,
... |
def attrnameni ( self, * args ) : return _ snap. pneanetmp _ attrnameni ( self, * args ) | [
-0.3894173502922058,
-0.050148699432611465,
0.2673945426940918,
0.6513364911079407,
-0.36459872126579285,
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0.4101633131504059,
-0.6169796586036682,
-1.2297192811965942,
-0.34484708309173584,
0.14243091642... |
def publish _ waypoints _ around ( self ) : if self. pose _ ref _ waypoints _ idx is none : return # visualizing + / - 5 waypoints around the reference waypoints. num = 5 msg = marker ( ) msg. points = [ ] msg. header = header ( ) msg. header. stamp = rospy. time. now ( ) msg. header. frame _ id = " / world " msg. id =... | [
-0.27119410037994385,
-0.057583123445510864,
0.7206287980079651,
-0.5383278727531433,
-0.12251602858304977,
0.3602481186389923,
0.9938411116600037,
-0.1914081871509552,
-0.17673029005527496,
0.3191549777984619,
0.30343154072761536,
1.6345411539077759,
-0.6922636032104492,
1.174345374107360... |
def getsattridn ( self, * args ) : return _ snap. tundirnet _ getsattridn ( self, * args ) | [
-0.25390058755874634,
-0.8798816800117493,
0.2842584252357483,
0.26111406087875366,
0.3996310234069824,
-0.6319155693054199,
0.46768108010292053,
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-0.7189427018165588,
-0.14497515559196472,
0.8724746704101562,
-0.37880009412765503,
0.61024063825607... |
def update ( self, index, value ) : self. _ check _ index ( index ) self. _ check _ value ( value ) self. array [ index ]. data = value | [
-0.8487387299537659,
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0.2230774164199829,
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-0.5289148092269897,
0.6370341181755066,
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0.45641186833381653,
0.44765251874923706,
-0.5983888506889343,
1.045381784439087,
-0.12495994567871094,
-0.271549284458160... |
def find _ dcg ( element _ list ) : score = 0. 0 for order, rank in enumerate ( element _ list ) : score + = float ( rank ) / math. log ( ( order + 2 ) ) return score | [
-0.3426494300365448,
1.0329703092575073,
0.36414361000061035,
0.4072531759738922,
-0.08290985226631165,
-0.4932619333267212,
0.04902680963277817,
-0.19792644679546356,
-0.08138129860162735,
0.9873619079589844,
-0.2565343976020813,
-0.6951966881752014,
-0.6072768568992615,
1.546181082725525... |
def anonymize _ top _ level _ field ( df, column, encoding ) : # define udf hash function udf _ hash _ field = udf ( lambda x : anonymize _ value ( x, encoding ), df. schema [ column ]. datatype ) df = df. withcolumn ( column, when ( df ['in _ source _ ids']. isnotnull ( ), udf _ hash _ field ( col ( column ) ) ) ) ret... | [
-0.37066012620925903,
1.1274067163467407,
0.5380848050117493,
0.29273635149002075,
-0.35823580622673035,
-0.168816477060318,
-0.2708195149898529,
0.05957234278321266,
-0.11700373888015747,
0.39927321672439575,
-0.9176155924797058,
1.1615619659423828,
0.348850816488266,
-0.6997280120849609,... |
def sp _ integrate _ 2d _ ( pdf, xmin, xmax, ymin, ymax, * args, * * kwargs ) : if hasattr ( pdf,'setpars') : pdf. setpars ( ) func = pdf. function ( ) return func. sp _ integrate _ 2d ( xmin, xmax, ymin, ymax, * args, * * kwargs ) | [
-0.2501130700111389,
-0.5119969844818115,
0.446207731962204,
0.19565729796886444,
-0.4242050051689148,
-0.8893823027610779,
-0.9550198316574097,
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-0.46730512380599976,
0.30889996886253357,
0.34360164403915405,
-0.277204662561416... |
def calc _ icc ( self, drop _ rois = true, view = true ) : assert ( self. roi _ gs _ df is not none ), " run remove _ site _ effects ( ) first. " assert ( self. visit _ code = = " 123 " ), " must be using 123 visit code for icc. " def calc _ roi _ iccs ( data ) : " " " calculate icc values per roi for the passed datafr... | [
0.04743903502821922,
0.46079933643341064,
0.6360232830047607,
-0.18672354519367218,
-0.24472610652446747,
-0.09910320490598679,
1.641922116279602,
-0.07911551743745804,
-0.5313523411750793,
0.7672790288925171,
0.49292853474617004,
0.6661848425865173,
0.16192539036273956,
-0.696377158164978... |
def argmax ( tensor, dim ) : pass | [
-0.1136976033449173,
-0.31164833903312683,
0.24784760177135468,
1.1216412782669067,
0.09736344963312149,
0.24779750406742096,
-0.2337970733642578,
0.534261167049408,
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0.9310129284858704,
0.5254100561141968,
0.9834384918212891,
0.5736594200134277,
-1.1350005865097046,
... |
def callparserfunction ( functionname, args, frame ) : try : if functionname = ='# invoke': # special handling of frame return sharp _ invoke ( args [ 0 ]. strip ( ), args [ 1 ]. strip ( ), frame ) if functionname in parserfunctions : return parserfunctions [ functionname ] ( * args ) except : return none # fixme : fix... | [
0.17937375605106354,
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0.7441763877868652,
0.16515210270881653,
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0.12902815639972687,
0.4698008596897125,
-0.9267971515655518,
0.2201909869909... |
def _ _ str _ _ ( self ) : return " e1 \ n % s \ nh1 \ n % s \ ne2 \ n % s \ nh2 \ n % s \ n " % ( self. e1, self. h1, self. e2, self. h2 ) | [
-0.7033296227455139,
-1.2532953023910522,
0.9006975293159485,
-0.5444802641868591,
-0.051595378667116165,
1.106250286102295,
-0.7152620553970337,
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0.4047987163066864,
0.3277242183685303,
-0.10732031613588333,
-0.19675327837467194,
-0.11546110361814... |
def removeitem ( self, item ) : try : self. tree. removeitem ( item ) except attributeerror, e : raise versionerror ('saved versions are immutable') | [
-0.2784419357776642,
-0.02596745640039444,
0.30910852551460266,
0.7375937104225159,
0.3432571589946747,
0.7505697011947632,
0.1193951815366745,
0.3141442537307739,
0.45343297719955444,
1.1748017072677612,
-0.8811703324317932,
-0.1892295628786087,
-0.43102264404296875,
0.023899344727396965,... |
def searchback ( self, * args ) : return _ snap. tintintvv _ searchback ( self, * args ) | [
-1.1348083019256592,
0.6059287786483765,
0.9738205671310425,
0.9136391878128052,
0.8027628660202026,
-0.24603159725666046,
0.6924959421157837,
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0.291594535112381,
-0.09621525555849075,
0.5704331994056702,
-1.8204450607299805,
-0.6117882132530212,
... |
def getuint ( self, * args ) : return _ snap. tstr _ getuint ( self, * args ) | [
-0.16916459798812866,
0.6412676572799683,
0.6103125214576721,
-0.4266316592693329,
1.558285117149353,
-0.06088188290596008,
0.5030904412269592,
-0.15527695417404175,
-0.5398894548416138,
-0.8420215249061584,
-0.5018556118011475,
-0.5701878070831299,
0.16179557144641876,
-0.346061646938324,... |
def loadpajek _ pneanet ( * args ) : return _ snap. loadpajek _ pneanet ( * args ) | [
-1.2028487920761108,
0.715843915939331,
0.36907050013542175,
0.06743861734867096,
-0.4213797450065613,
0.39632928371429443,
-0.5085277557373047,
-0.4871978163719177,
-0.6139633655548096,
-0.6527075171470642,
-0.5871603488922119,
-1.503934383392334,
-0.5288124084472656,
0.6736676096916199,
... |
def test _ check _ negative _ freq ( self ) : label ='c2h6'self. job3. local _ path _ to _ output _ file = os. path. join ( arc _ path,'arc ','testing ','freq ','c2h6 _ freq _ qchem. out') self. job3. job _ status = ['done ', {'status':'done ','keywords': list ( ),'error':'','line':'' } ] vibfreqs = parser. parse _ fre... | [
0.6632978320121765,
-0.6264280676841736,
0.6103647947311401,
1.0367432832717896,
0.1693289875984192,
0.7123766541481018,
-0.4914925992488861,
-0.053054459393024445,
-0.2722625136375427,
-0.6002344489097595,
0.13512122631072998,
0.11974070221185684,
-0.9940158724784851,
0.30686599016189575,... |
def wstatistics ( data, weights, moments = 4 ) : mean = np. average ( data, weights = weights ) std = np. sqrt ( np. average ( ( data - mean ) * * 2, weights = weights ) ) result = [ mean, std ] if moments > = 3 : result. append ( np. average ( ( ( data - mean ) / std ) * * 3, weights = weights ) ) if moments > = 4 : r... | [
0.5703558325767517,
0.7708249092102051,
0.5309941172599792,
-0.3006623089313507,
-0.6659194827079773,
0.03902268037199974,
0.24793261289596558,
-0.4609113931655884,
0.5699988603591919,
0.745242178440094,
0.08920048177242279,
0.49519792199134827,
0.09777383506298065,
0.9822511076927185,
-... |
def convert _ arg _ line _ to _ args ( self, line ) : return ( line. split ('#') [ 0 ]. split ( ) ) | [
-0.5743792057037354,
-0.1582190841436386,
0.716277003288269,
-0.542837381362915,
1.1114482879638672,
-0.04842595010995865,
-0.8724260330200195,
0.7014397978782654,
-0.6620815396308899,
1.4010579586029053,
-0.29186180233955383,
0.0960003137588501,
-0.09788983315229416,
-0.010464446619153023... |
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