text stringlengths 25 2.19k | embedding listlengths 768 768 |
|---|---|
def settargetvolume ( self, targetvolume ) : self. write ( " mlt " + str ( targetvolume ) ) resp = self. read ( 5 ) # response should be crlfxx :, crlfxx >, crlfxx < where xx is address # pump11 replies with leading zeros, e. g. 03, but phd2000 misbehaves and # returns without and gives an extra cr. use int ( ) to deal... | [
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def matrix _ adjoint _ lemma _ 40 ( mat ) : if mat. nrows ( )! = mat. ncols ( ) : raise valueerror, " make sure that this is indeed a combinatorial adjoint matrix " else : dim = mat. nrows ( ) l = list ( ) mat _ space = matrixspace ( combinatorialscalarring ( ), dim ) for i in range ( dim ) : l. append ( list ( ) ) for... | [
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def embed _ state ( args, embs, subj0 = none, a _ t = none, subj _ prev = none, d _ t = none, subj _ t = none, qtype = none, initial _ state = false, actions = none, qtype _ order = none ) : s = [ ] if args. one _ hot _ states : # only actions and query types have scalable one - hot encodings if args. a _ t _ in _ stat... | [
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def test _ get _ children ( self ) : pass | [
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def encode _ npz ( subvol ) : fileobj = io. bytesio ( ) if len ( subvol. shape ) = = 3 : subvol = np. expand _ dims ( subvol, 0 ) np. save ( fileobj, subvol ) cdz = zlib. compress ( fileobj. getvalue ( ) ) return cdz | [
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def append ( self, * args, * * kwargs ) : # real signature unknown pass | [
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def save _ data ( origin, query _ name, timestamp, filename, data, is _ data _ url = false, headers _ dic = none, post _ data = none, avoid _ compression = false ) : def get _ headers ( h ) : headers _ string ='' if h is none : return'' for k in list ( h. keys ( ) ) : headers _ string = headers _ string +'- - header = ... | [
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def correct _ timestamps _ in _ log _ parser _ data ( data, first _ original _ timestamp, key ='' ) : if key = ='timestamps'and isinstance ( data, list ) : for i, element in enumerate ( data ) : if isinstance ( element, list ) : data [ i ] = recording. correct _ timestamps _ in _ log _ parser _ data ( element, first _ ... | [
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def letter _ range ( start, end, step = 1 ) : return [ chr ( x ) for x in range ( ord ( start ), ord ( end ), step ) ] | [
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def receive _ damage ( self, dmg ) : self. health - = dmg # decrease health self. damage + = dmg * 1. 5 # this variable is used in the health bar, to ensure that it decreases properly | [
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def index ( request ) : num _ visits = request. session. get ('num _ visits ', 0 ) request. session ['num _ visits'] = num _ visits + 1 # some context object to pass to the template renderer here. context = {'natalia _ jimenez':'creo creo creo en mi ','music _ data':'music data here ','num _ visits': num _ visits, } re... | [
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def _ get _ base _ pose ( self ) : _ p = self. rob. tcp. base p = v ( _ p [ 0 ], _ p [ 1 ], _ p [ 2 ] ) _ r = self. rob. tcp. rotation. q r = r ( _ r [ 3 ], _ r [ 0 ], _ r [ 1 ], _ r [ 2 ] ) return pose ( p, r ) | [
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def getweight ( self, nbr ) : return self. connectedto [ nbr ] | [
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def read _ large _ file ( file _ object ) : # loop indefinitely until the end of the file while true : # read a line from the file : data data = file _ object. readline ( ) # break if this is the end of the file if not data : break # yield the line of data yield data | [
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def _ _ init _ _ ( self, color, size = 20 ) : # call the parent class ( sprite ) constructor super ( ). _ _ init _ _ ( ) # create an image of the block, and fill it with a color. # this could also be an image loaded from the disk. self. image = pygame. surface ( ( size, size ) ) self. image. fill ( ( 255, 255, 255 ) ) ... | [
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def stemwordsnowball ( self, word ) : return self. snws. stem ( word ) | [
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def saver ( myfile _ str ) : print ( " \ t saving sequences for which the motifs were found... " ) print ( " \ t myfile _ str : ", myfile _ str ) # print ( " \ t foundin _ list : ", foundin _ list ) outfilename _ str = myfile _ str + " _ out. fasta " # output _ file = open ( " new _ record. fasta ", " w " ) outputfile ... | [
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def set _ pad _ mode _ 2 ( data : bytearray, block _ size : int ) - > bytearray : return data + b'\ x80'+ b'\ x00'* ( block _ size + get _ pad _ size ( data, block _ size ) - 1 ) | [
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def setinparent ( self, * args, * * kwargs ) : # real signature unknown pass | [
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def types ( ) : return { name : cls for cls in workflowfixture. _ _ subclasses _ _ ( ) for name in cls. param _ names } | [
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def bip32key ( self ) - > bip32publickey : return self. m _ pub _ key | [
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def is _ on ( self ) : return self. _ state | [
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def find _ best _ thresholds _ around _ estimates _ experimental ( self, estimatedthresholds ) : estimatedthresholds = [ int ( k ) for k in estimatedthresholds ] if sum ( estimatedthresholds ) < 10 : return self. find _ best _ thresholds _ around _ estimates _ old ( estimatedthresholds ) print ('estimated ', estimatedt... | [
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def exportsolvers ( self ) : solver _ jsons = [ ] for item in self. _ solvers : if item. age > 0 and item. living : solver _ jsons. append ( json. dumps ( item, default = json _ out, indent = 2, sort _ keys = true ) ) return solver _ jsons | [
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def menu ( ) : ascii _ menu ( " rabbitmq ", menu _ list ) | [
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def description ( self, description ) : if self. _ configuration. client _ side _ validation and description is none : raise valueerror ( " invalid value for ` description `, must not be ` none ` " ) # noqa : e501 self. _ description = description | [
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def get ( self ) : app. logger. info ( " ping " ) return api _ common. ping ( api _ version = api _ version ) | [
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def km _ to _ miles ( km ) : miles = km * 0. 6 return miles | [
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def _ parse _ cpbr _ row ( s ) : index, number, type, name = s. strip ('+ cpbr :'). split ( ',') return {'index': int ( index ),'number': number. replace ('" ','' ). rstrip ( ),'type': int ( type ),'name': name. replace ('" ','' ). rstrip ( ), } | [
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def _ _ init _ _ ( self ) : pygame. init ( ) pygame. display. set _ caption ( " remember everything " ) gameicon = pygame. image. load ('book. png') pygame. display. set _ icon ( gameicon ) self. start = 0 self. bg = color ('pink') self. screen = pygame. display. set _ mode ( ( 1200, 630 ) ) self. x, self. y = ( 1200, ... | [
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def to _ words ( text ) : result = [ ] if re. search ( r'\ s ', text ) : words = text. split ( ) for word in words : result + = to _ words ( word ) return result prev = 0 for i, letter in enumerate ( text ) : if letter. isupper ( ) : substr = text [ prev : i ] if substr : result. append ( substr ) prev = i if prev < le... | [
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def spawn _ volume _ from _ snapshot ( self, volume, snapshot ) : ret, output = self. dpl. spawn _ vdev _ from _ snapshot ( self. _ conver _ uuid2hex ( volume ['id'] ), self. _ conver _ uuid2hex ( snapshot ['volume _ id'] ), volume. get ('display _ name ','' ), volume. get ('display _ description ','' ), self. _ conver... | [
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def aggregate ( airbnb _ gdf, nbh _ gdf, room _ gdf, entire _ home _ gdf, superhost _ gdf, illegal _ gdf ) : # perform spatial join join _ all = gpd. sjoin ( nbh _ gdf, airbnb _ gdf, how ='inner ', op ='contains'). groupby ('buurt'). size ( ). reset _ index ( name ='airbnb _ listingcount') nbh _ gdf = nbh _ gdf. merge ... | [
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def test _ dimensions ( self ) : # want to be able to pull dimensions out using the channels name dimensions = self. train. dimensions ['train channel'] assert dimensions = = ['loss'] | [
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def _ randomnucleotide ( b ) : possible _ bases = iupacdata. ambiguous _ dna _ values [ b ] return random. choice ( possible _ bases ) | [
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def test _ filter _ name ( self ) : t1 = taskfactory ( name = " b ", creator = self. user, status = task. status. new ) t2 = taskfactory ( name = " a ", creator = self. user, status = task. status. assigned ) t3 = taskfactory ( name = " c ", creator = self. user, status = task. status. completed ) t4 = taskfactory ( na... | [
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def remove _ node ( self, value ) : self. nodes = [ node for node in self. nodes if node. value! = value ] for node in self. nodes : node. edges = [ node for node in node. edges if node. value! = value ] self. length = self. length - 1 | [
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def face ( * args ) : return _ topods. topods _ face ( * args ) | [
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def stats ( self, mu, var ) : return mu, var | [
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def default ( self, node ) : # handle characters like \ &, \ $, \ %, etc. if len ( node. nodename ) = = 1 and node. nodename not in encoding. stringletters ( ) : return self. textdefault ( node. nodename ) # render child nodes return str ( node ) | [
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def insertnodeatend ( self, value = none ) : node = node ( value ) if self. nextnode. value is none : self. nextnode = node return currentnode = self. nextnode while currentnode. nextnode is not none : currentnode = currentnode. nextnode currentnode. nextnode = node | [
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def _ get _ other _ direction ( self, direction ) : self. _ check _ direction ( direction ) return self. directions [ not self. directions. index ( direction ) ] | [
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def build _ auxiliary _ structures ( nodes _ filename, ways _ filename ) : nodes = { } edges = { } dic = { } # loop over each node in ways file # look for the node in node file for ways in read _ osm _ data ( ways _ filename ) : # if it has an allowed highway types if'highway'in ways ['tags'] and ways ['tags'] ['highwa... | [
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def get _ 5gnr _ usermargin ( self ) : rdstr = self. queryfloat ( f'conf : nrmm : meas : rfs : umar?') return rdstr | [
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def _ _ init _ _ ( self, name ) : super ( thirdoperator, self ). _ _ init _ _ ( name ) | [
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def build _ discriminator _ base _ conv _ layer _ block ( base _ conv _ layers, params ) : with tf. variable _ scope ( name _ or _ scope = " discriminator ", reuse = tf. auto _ reuse ) : # get conv block layer properties. conv _ block = params [ " discriminator _ base _ conv _ blocks " ] [ 0 ] # create list of base con... | [
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def funcnameea ( self, func _ ea ) : func = self. disas. funcat ( func _ ea ) if func is not none : return self. funcnameinner ( func. name ) return self. funcnameinner ( self. disas. nameat ( func _ ea ) ) | [
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def _ model _ check ( model ) : status = model. solver. optimize ( ) if status = ='infeasible': return false solution = get _ solution ( model ) if solution. objective _ value! = 0 : return true return false | [
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def test _ dispatch _ crawl _ feeds ( self ) : with patch. object ( tasks. retrieve _ feed _ entries, " delay " ) as m : tasks. dispatch _ crawl _ feeds ( ) # have all rss feeds been called? all _ rss _ feeds = models. rssfeed. objects. all ( ) self. assertequals ( len ( all _ rss _ feeds ), m. call _ count ) for rss _... | [
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def bio _ tagging _ df ( df ) : pdf, _ = prep _ df ( df ) tdf = transform _ df ( pdf ) bio _ tags _ df = [ bio _ tagging _ sentence ( l ) for l in tdf ] bio _ tags _ df = pd. dataframe ( bio _ tags _ df, columns = [ " text ", " bio _ tags " ] ) return bio _ tags _ df | [
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def _ _ init _ _ ( self, parent, id = none, logger = none ) : widget. _ _ init _ _ ( self, parent, logger = logger ) self. id = id | [
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def get _ user ( u _ id ) : status, info = user. get _ user _ by _ uid ( u _ id ) ret = { " data " : [ ], " status " : status, " msg " : " " } if status = = " success " : ret ['data'] = {'u _ id': info [ 0 ] [ 0 ],'u _ name': info [ 0 ] [ 1 ], " u _ role " : info [ 0 ] [ 2 ], " u _ phone " : info [ 0 ] [ 4 ],'c _ id': ... | [
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def energy ( self, x ) : lp = 0. 0 # log posterior ca = x [ 0 ] ce = x [ 1 ] indx = 2 for i, md in enumerate ( self. mdlist ) : # # # # # # # # # # # # # # # # # # # a e s lp + = md. logpost ( x [ indx ], x [ indx + 1 ], x [ indx + 2 : ( indx + md. n ) ] ) ei = x [ indx + 1 ] # # hyper prior for e _ i lp + = ( ca - 1 )... | [
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def write _ to _ string ( self, output ='ps ', dpi = 72 ) : # the reportlab drawtostring method, which this function used to call, # just uses a cstringio or stringio handle with the drawtofile method. # in order to put all our complicated file format specific code in one # place we'll just use a stringio handle here :... | [
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def last _ stop ( line : str ) - > bool : return line [ - 1 ] = = eol | [
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def _ _ init _ _ ( self, amsn _ conversation, parent, contacts _ uid ) : self. _ main = parent. _ main self. _ uid = md5. new ( str ( random. random ( ) ) ). hexdigest ( ) self. _ main. send ( " newchatwidget ", [ self. _ uid ] ) self. _ main. addlistener ( " sendmessage ", self. sendmessage ) self. _ amsn _ conversati... | [
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def _ _ ne _ _ ( self, other ) : if not isinstance ( other, materialupdateoperation ) : return true return self. to _ dict ( )! = other. to _ dict ( ) | [
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def test _ ing _ pair _ in _ list _ case _ 1 ( self ) : ing _ list = load _ ing _ list ( ) pairs = extract _ pairs ( ing _ list ) ing1 = ingredient ( " " ) ing2 = ingredient ( " " ) self. asserttrue ( ingredientpair ( ing1, ing2 ) in pairs ) self. asserttrue ( ingredientpair ( ing2, ing1 ) in pairs ) | [
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def test _ pruning _ src _ tgt ( ) : g = nx. digraph ( ) g. add _ edges _ from ( [ ( 0, 1 ), ( 0, 2 ), ( 0, 3 ), ( 0, 4 ), ( 1, 0 ), ( 2, 0 ), ( 2, 1 ), ( 2, 3 ), ( 3, 0 ), ( 3, 2 ), ( 3, 4 ), ( 3, 5 ), ( 4, 1 ), ( 4, 3 ), ( 4, 5 ), ( 5, 0 ), ( 5, 2 ) ] ) src = 0 tgt = 5 length = 5 cfpg = pg. cfpg. from _ graph ( g, sr... | [
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def get _ default _ dom _ elem ( ) : return [ get _ dom _ elem ( ). first ( ) ] | [
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def do _ update ( self, node _ id ) : _ error _ code, _ msg = ramstkdatamodel. do _ update ( self, node _ id ) if _ error _ code! = 0 : _ error _ code = 2006 _ msg ='ramstk error : attempted to save non - existent hardware id'\'{ 0 : d }. '. format ( node _ id ) return _ error _ code, _ msg | [
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def get _ game ( self, format ='json') : response = self. get ( self. base _ url + " game / nhl ", format = format ) return response ['fantasy _ content'] ['game'] [ 0 ] ['game _ id'] | [
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def rgba2bgra ( im : np. ndarray ) - > np. ndarray : return cv. cvtcolor ( im, cv. color _ rgba2bgra ) | [
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def show _ error _ message ( title, message ) : return _ show _ error _ message ( title, message ) | [
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def rand _ colour ( ) : colour ='' for i in range ( 0, 3 ) : colour + = ( " % 02x " % random. randint ( 0, 255 ) ) return colour | [
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def repeat ( iterations : int = 3 ) : def decorator ( func ) : @ functools. wraps ( func ) def wrapper ( * args, * * kwargs ) : for _ in range ( iterations ) : result = func ( * args, * * kwargs ) return result return wrapper return decorator | [
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def tree _ stats ( root, max _ depth = none ) : stats = {'total _ vnodes': 0,'total _ qnodes': 0,'total _ vnodes _ children': 0,'total _ qnodes _ children': 0,'max _ vnodes _ children': 0,'max _ qnodes _ children': 0,'max _ depth': 0 } treedebugger. _ tree _ stats _ helper ( root, 0, stats, max _ depth = max _ depth ) ... | [
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def process _ document ( self, context, document _ format ) : available _ formats = self. document _ converter. available _ output _ formats. copy ( ) available _ formats. remove ( document _ format ) self. logger. debug ( " document with supported document format detected " ) self. send _ message ( context, " document... | [
-0.11366530507802963,
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0.22989673912525177,
0.647181510925293,
-0.8840854167938232,
0.574694037437439,... |
def _ exec _ test ( self, tf _ name, test _ func ) : compiled _ code = self. _ compiled _ py [ tf _ name ] log = self. log [ tf _ name ]. children [ test _ func ] # load the module in to the namespace # capture the standard out rather than dumping it to terminal with stdout _ ctx ( ) as stdout : global _ namespace = di... | [
0.5614440441131592,
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0.29927858710289,
0.7946376204490662,
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0.07079525291919708,
... |
def _ _ init _ _ ( self, design _ matrix, weights _ prior _ scale = 0. 1, weights _ batch _ shape = none, name = none ) : init _ parameters = dict ( locals ( ) ) with tf. name _ scope ( name or'sparselinearregression') as name : if not isinstance ( design _ matrix, tfl. linearoperator ) : design _ matrix = tfl. linearo... | [
1.009326457977295,
0.6181083917617798,
0.8571229577064514,
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0.34478604793548584,
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0.0861475020647049,... |
def create _ mailing _ label _ report _ csv ( self ) : filename = " hundrednights - donors - { 0 }. csv ". format ( datetime. now ( ). strftime ( " % y - % m - % d " ) ) donors = self. _ _ create _ mailing _ label _ report _ data ( ) data = [ [ d. name, d. street _ 1, d. street _ 2, d. city, d. zip, d. state, d. is _ o... | [
-1.05869722366333,
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0.3652726709842682,
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0.4813303053379059,
0.18483787775039673,
0.27112621068954... |
def handler _ send _ sticker ( update : update, context : callbackcontext ) : update. message. reply _ sticker ( sticker ) | [
1.0228906869888306,
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0.74989175796508... |
def _ _ init _ _ ( self, bayesian = true, n _ samples = 30, tu = 0. 0125, device ='cpu') : self. bayesian = bayesian self. n _ samples = n _ samples self. tu = tu self. seg _ model = branchederfnet ( num _ classes = [ 4, 1 ] ). to ( device ). eval ( ) self. model _ path = os. path. join ( os. path. dirname ( os. path. ... | [
0.030518464744091034,
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0... |
def parameter _ general ( self ) : return self. token. value [ : - 1 ]. split ( ) | [
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1.2542883157730103,
0.17966307699680328,
1.2855875492095947,
-0.5188361406326294,
0.5199795961380005,
... |
def is _ prime _ v2 ( num ) : if num = = 1 : return false for n in range ( 2, m. floor ( m. sqrt ( num ) ) ) : if num % n = = 0 : return false else : return true | [
-0.7448188066482544,
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0.09624148905277252,
0.3189433515071869,
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0.5159731507301331,
... |
def observation _ space ( self ) : raise notimplementederror | [
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0.38066715002059937,
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0.29119282960891724,
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0.4678601026535034,
0.42427310347557... |
def to _ schema ( self ) : schema = super ( ). to _ schema ( ) if self. disabled is not none : schema [ " disabled " ] = self. disabled if self. collapsed is not none : schema [ " collapsed " ] = self. collapsed group = [ ] for field in self. fields. values ( ) : group. append ( field. to _ schema ( ) ) schema [ " grou... | [
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0.20996901392936707,
0.3237378001213074,
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0.010510028339922428,
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0.3266696333885193,
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0.02548595517873764,
-0.6866950392723... |
def head ( self ) : return self. _ dll. head | [
0.06384561955928802,
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0.692065417766571,
0.4332398772239685,
0.2037600576877594,
1.2828196287155151,
0.4350054860115051,
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0.2783716320991516,
1.1559945344924927,
-1.0092517137527466,
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0.34... |
def to _ element _ tree ( self ) : if self. _ _ class _ _. _ namespace : tag = " { % s } % s " % ( self. _ _ class _ _. _ namespace, self. _ _ class _ _. _ tag ) nsmap = { none : self. _ _ class _ _. _ namespace } else : tag = self. _ _ class _ _. _ tag nsmap = none new _ tree = self. et. element ( tag ) #, nsmap = nsm... | [
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0.48258841037750244,
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0.09075658768415451,
0.24086473882198334,
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1.3055481910705566,
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0.6782179474830627,
-0.5183543562889099,
0.5683292746543884,
... |
def ajax _ request ( ) : user _ query = request. data. decode ('utf - 8') print ( " contenu de la requete = ", user _ query ) # for debug parser = parser ( ) cleaned _ query = parser. clean ( user _ query ) print ( " requete nettoyee = ", cleaned _ query ) # for debug gmaps _ request = gmapsrequest ( cleaned _ query ) ... | [
-0.8081064820289612,
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0.2673693895339966,
0.43283167481422424,
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0.4858951568603515... |
def get _ cur _ timestamp ( ) : return int ( time. mktime ( datetime. datetime. now ( ). timetuple ( ) ) ) | [
-0.7586517333984375,
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0.6440500020980835,
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-0.58158606290817... |
def _ getcoords ( self ) : indices = self. _ traj. _ indices if indices is none : return self. _ getxyz ( ) else : return self. _ getxyz ( ) [ indices ] | [
-0.5387148857116699,
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0.7664491534233093,
-1.0729427337646484,
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-0.921633780002594,... |
def _ mgui _ get _ max ( self ) - > float : val = self. _ qwidget. maximum ( ) return self. _ post _ get _ hook ( val ) | [
0.054979629814624786,
0.4516676962375641,
0.568917453289032,
0.8316755890846252,
0.3505190312862396,
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0.41359350085258484,
0.4142362177371979,
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0.6714491248130798,
... |
def merge _ operations ( circuit : circuit _ type, merge _ func : callable [ [ ops. operation, ops. operation ], optional [ ops. operation ] ], ) - > circuit _ type : def apply _ merge _ func ( op1 : ops. operation, op2 : ops. operation ) - > optional [ ops. operation ] : new _ op = merge _ func ( op1, op2 ) qubit _ se... | [
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0.8324411511421204,
0.5342910885810852,
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0.5932668447494507,
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0.7239664793014526,
0.2670546770095825,
-0.33669379353523254,
-0.16695140302181244,
-0.2791067659854889,
0.09635090827941895,
... |
def get _ all _ unique _ peptides _ in _ db ( self ) - > list [ str ] : return list ( set ( self. _ database. iloc [ :, 2 ] ) ) | [
-0.5173881649971008,
-0.21696290373802185,
0.6657693982124329,
0.47509709000587463,
1.1009207963943481,
0.85781329870224,
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0.37688082456588745,
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0.28664806485176086,
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0.5232183933258057,
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... |
def is _ local _ sparse ( self ) : local _ vals = self. _ local _ importance _ values return issparse ( local _ vals ) or \ ( ( isinstance ( local _ vals, list ) or isinstance ( local _ vals, np. ndarray ) ) and issparse ( local _ vals [ 0 ] ) ) | [
0.5093557238578796,
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0.9444646835327148,
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1.1024248600006104,
... |
def load _ embeddings ( self, path, mtx _ name, languages = none, filter _ rows = - 1 ) : if type ( languages ) = = str : languages = set ( [ languages ] ) elif type ( languages ) = = list : languages = set ( languages ) i2w = ordereddict ( ) data, indices, indptr = [ ], [ ], [ 0 ] with gzip. open ( path,'rb') as f : f... | [
0.012855904176831245,
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0.8171993494033813,
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0.6867320537567139,
0.20536334812641144,
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0.6002382636070251,
-0.3664069175720215,
0.09560061991214752,
-0.40144070982933044,
-0.2069397568702697... |
def forward ( self, x1, x2, diag = false, last _ dim _ is _ batch = false, full _ covar = true, * * params ) : if last _ dim _ is _ batch : raise notimplementederror ( ) else : n = x1. shape [ 0 ] m = x2. shape [ 0 ] out = torch. zeros ( ( n, m ), device = x1. get _ device ( ) ) for i in range ( n ) : for j in range ( ... | [
-0.05359354987740517,
0.5672994256019592,
0.721678614616394,
0.8422057628631592,
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0.02201145887374878,
0.7676244378089905,
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0.5794604420661926,
0.45414382219314575,
0.46889322996139526,
0.37210792303085327,
-0.140335559844970... |
def compare ( self, current _ value, best _ value ) : raise notimplementederror | [
-0.340790331363678,
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0.4546377956867218,
0.5695390105247498,
0.20116986334323883,
0.8388627767562866,
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0.115804523229599,
0.7814216017723083,
0.29896169900894165,
0.7631023526191711,
... |
def run _ agent ( dataset, search _ engine, nouns, reader, redis _ server, embs, args, agent _ from _ checkpoint = none, agent = none, dev = false, eval _ dataset = none, eval _ search _ engine = none, eval _ nouns = none, existing _ session = none, total _ accuracy _ only = false, outer _ e = none, summary _ writer = ... | [
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0.5072551369667053,
0.1949266940355301,
1.0524661540985107,
0.38466936349868774,
0.40825021266937256,
-0.03896255046129227,
0.3168210983276367,
0.4166197180747986,... |
def remove ( self ) : self. storage. pop ( ) | [
0.40457791090011597,
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0.35873863101005554,
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0.16030137240886688,
0.11661051213741302,
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-0.3229514956474... |
def get _ ontology _ map ( df, ontology _ key, name _ key, input _ id _ map, input _ code _ map, input _ phenotype _ name _ map, add _ duplicate _ phenotypes = false ) : # loop for index, row in df. iterrows ( ) : key = row [ ontology _ key ] code = row ['ph'] phenotype _ name = row [ name _ key ] # if key not yet in m... | [
-1.2327219247817993,
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0.4441332221031189,
-0.394145131111145,
-0.3264496624469757,
-0.003618032904341817,
0.163174733519... |
def _ children ( self ) - > list ['virtualproduct'] : return [ from _ validated _ recipe ( child ) for child in self ['juxtapose'] ] | [
-0.08087886869907379,
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0.039018888026475906,
0.7574211359024048,
0.748939037322998,
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0.01146447192877531,
0.3962012827396393,
-0.2712003290653229,... |
def testgettaginstancewithunicodevalue ( self ) : result = tagapi ( self. user ). create ( [ ( u'username / tag ', u'description') ] ) [ ( objectid, path ) ] = result tagvalueapi ( self. user ). set ( { objectid : { u'username / tag': u'value'} } ) self. store. commit ( ) with login ( u'username ', uuid4 ( ), self. tra... | [
-0.10816780477762222,
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0.12434316426515579,
0.0066903815604... |
def build _ mask ( self, img : np. ndarray ) - > np. ndarray : img = np. ones _ like ( img ). astype ( np. float32 ) return self. warp ( img, flags = cv2. inter _ nearest ) | [
-1.3518942594528198,
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0.6149387955665588,
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0.5329150557518005,
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... |
def v _ ml ( tag, messages ) : if not isinstance ( messages, list ) : raise typeerror for message in messages : if message = = " " : continue v ( tag, message ) | [
0.16182290017604828,
0.03774021565914154,
0.2597600221633911,
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0.57118821144104,
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0.06585628539323807,
0.07357391715049744,
-0.7015491127967834,
1.4336163997650146,
-1... |
def test _ outside _ calendar ( self ) : # outside but not a leave work _ entry _ 1 = self. create _ work _ entry ( datetime ( 2018, 10, 10, 3, 0 ), datetime ( 2018, 10, 10, 4, 0 ) ) # outside and a leave work _ entry _ 2 = self. create _ work _ entry ( datetime ( 2018, 10, 10, 1, 0 ), datetime ( 2018, 10, 10, 2, 0 ), ... | [
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0.37313809990882874,
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0.22939909994602203,
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-0.1703423410654068,
-0.4918208718299866,
-0.7387465238571167,
0.078269153833389... |
def created _ time ( self ) - > pulumi. output [ str ] : return pulumi. get ( self, " created _ time " ) | [
1.2076799869537354,
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0.25494542717933655,
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0.022866476327180862,
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0.44873273372650146,
0.57090824842453,
-0.7111907005310059... |
def get _ here _ json ( url ) : return requests. get ( url ). text | [
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0.10796170681715012,
-0.6964183449745178,... |
async def set _ tilt ( self, device _ id : str, value : int ) : zone _ id = self. _ get _ zone _ id ( device _ id ) if zone _ id : await self. _ request ( " createrequest ", f " / zone / { zone _ id } / commandprocessor ", { " command " : { " commandtype " : " gototilt ", " tiltparameters " : { " tilt " : value, }, }, ... | [
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1.3250075578689575,
-0.31665340065956116,
1.3240636587142944,
-0.514742374420166,
-0.027323750779032707... |
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