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def process _ on _ delete _ handler ( sender, instance, * * kwargs ) - > bool : sales = sender. objects. filter ( reseller = instance. reseller, date _ _ month = instance. date. month, date _ _ year = instance. date. year ) if not sales. exists ( ) : return false sale = sales. first ( ) process. delay ( sale _ id = sal... | [
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def get ( self, game _ id ) : # get the game object try : g = gamemodel. objects ( id = game _ id ). get ( ) except ( doesnotexist, validationerror ) : abort ( 404, message = f " game { game _ id } not found. " ) player _ list = [ p. name for p in g. players ] # todo : use @ marshal _ with for better validation return ... | [
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def get _ feature _ type ( feature _ code ) : if feature _ code = = 1 : return'point'elif feature _ code = = 2 : return'polyline'elif feature _ code = = 3 : return'polygon'else : return'none ' | [
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def initialize ( self, request ) : self. query = getattr ( request, request. method ). urlencode ( ) self. payment _ id = self. custom | [
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def stepretrytf ( self, userdata ) : for tf _ retry in range ( 3 ) : try : return self. step ( userdata ) except rospy. serviceexception as e : rospy. logerr ( " service execution failed : % s ", e ) break except ( tf. lookupexception, tf. connectivityexception, tf. extrapolationexception ) as e : rospy. logwarn ( " tf... | [
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def _ readall ( self ) : stream = _ bytesio ( ) with _ handle _ azure _ exception ( ) : self. _ get _ to _ stream ( stream = stream, * * self. _ client _ kwargs ) return stream. getvalue ( ) | [
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def name ( self, name ) : if name is none : raise valueerror ( " invalid value for ` name `, must not be ` none ` " ) self. _ name = name | [
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def _ _ init _ _ ( self, pixelsize = 15, spritewidth = 8 ) : self. root = tk ( ) self. root. title ('ssd1306 sprite maker v1. 0') self. pixelsize = pixelsize self. spritewidth = spritewidth self. canvaswidth = pixelsize * spritewidth self. canvasheight = pixelsize * 8 self. animating = false self. placewidgets ( ) | [
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def generate _ map ( self, map _ name, images, keys ) : result = { map _ name : { } } key _ index = 0 for image _ id in images : ami = self. ec2. image ( image _ id ) ami _ name = ami. name creation _ date = ami. creation _ date self. print _ if _ verbose ('got : " { } " in " { } " '. format ( ami _ name, self. initial... | [
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def flatten ( lst ) : return [ inner _ list for sublist in lst for inner _ list in sublist ] | [
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def client _ id ( self ) - > str : return pulumi. get ( self, " client _ id " ) | [
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def grayscale ( image ) : return image. convert ( " l " ) | [
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def get _ geotweets _ by _ dates ( self, start _ date = none, end _ date = none, senti _ class = none ) : # if no start or end date filter to critical period if start _ date = = none : # try two weeks prior to release start _ date = self. ukreleasedate start _ date = datetime. combine ( ( start _ date - timedelta ( day... | [
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def compile _ match _ key _ fun ( self, p4 ) : print " compile _ match _ key _ fun " # if nothing specified in the " reads " expression then return none if not len ( self. field _ matches ) : return lambda p4 : none codel = ['def f ( p4 ) : ','match _ keyl = [ ]'] for fm in self. field _ matches : print'', fm assert le... | [
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def launch _ template _ specification ( self ) - > pulumi. input ['fleetlaunchtemplateconfiglaunchtemplatespecificationargs'] : return pulumi. get ( self, " launch _ template _ specification " ) | [
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def get _ boundary _ intense ( img, show = false ) : if show : plt. gray ( ) plt. subplot ( 131 ) plt. title ( " original " ) plt. imshow ( img ) minlinelength = 50 maxlinegap = 10 img3 = np. zeros ( img. shape ) non _ zero = img > 0 img3 [ non _ zero ] = 255 x = misc. toimage ( img3, cmin = 0, cmax = 255, mode ='l') e... | [
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def from _ proto ( msg : pbentitypayloadtype ) - >'entity':... | [
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def from _ dictionary ( cls, dictionary ) : if dictionary is none : return none # extract variables from the dictionary file _ type _ bucket _ extensions = dictionary. get ( " filetypebucketextensions " ) file _ type _ bucket _ name = dictionary. get ('filetypebucketname') # return an object of this model return cls ( ... | [
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def detect _ problems ( filename, outfile = none ) : data = numpy. loadtxt ( fname = filename, delimiter = ',') if numpy. max ( data, axis = 0 ) [ 0 ] = = 0 and numpy. max ( data, axis = 0 ) [ 20 ] = = 20 : print ( " suspicious looking maxima " ) elif numpy. sum ( numpy. min ( data, axis = 0 ) ) = = 0 : print ( " minim... | [
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def create _ empty _ dataset ( host, clowder _ user, clowder _ pass, datasetname, description, parentid = none, spaceid = none ) : logger = logging. getlogger ( _ _ name _ _ ) url ='% sapi / datasets / createempty'% host if parentid : if spaceid : result = requests. post ( url, headers = { " content - type " : " applic... | [
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def _ create _ install _ one _ of _ rule ( self, packages, reason, requirements = none ) : literals = [ self. _ pool. package _ id ( p ) for p in packages ] return packagerule ( literals, reason, requirements = requirements ) | [
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def mod _ check ( ctx ) - > bool : if ctx. author. guild _ permissions. manage _ messages : return true return false | [
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def maybe _ download ( filename ) : if not os. path. exists ( work _ directory ) : os. mkdir ( work _ directory ) filepath = os. path. join ( work _ directory, filename ) if not os. path. exists ( filepath ) : filepath, _ = urlretrieve ( source _ url + filename, filepath ) statinfo = os. stat ( filepath ) print ('succe... | [
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def rotation _ matrix ( axis, theta ) : theta = theta * math. pi / 180. 0 axis = np. asarray ( axis ) axis = axis / math. sqrt ( np. dot ( axis, axis ) ) a = math. cos ( theta / 2. 0 ) b, c, d = - axis * math. sin ( theta / 2. 0 ) aa, bb, cc, dd = a * a, b * b, c * c, d * d bc, ad, ac, ab, bd, cd = b * c, a * d, a * c,... | [
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def _ replace ( self, p, e ) : node = self. _ validate ( p ) old = node. _ element node. _ element = e return old | [
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def entity _ model ( label ) : from entityfk. providers import get _ providers for provider in get _ providers ( ) : try : return provider. to _ model ( label ) except typenotsupported : pass raise exception ( ( " model { } could not be found " " and is not a registered model " ). format ( label ) ) | [
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def custom _ precision ( y _ true, y _ score ) : y _ true = label _ binarize ( y _ true, classes = np. unique ( y _ true ) ) average _ precision = average _ precision _ score ( y _ true, y _ score, average ='weighted') return average _ precision | [
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def tsplit ( string, delimiters ) : delimiters = tuple ( delimiters ) stack = [ string, ] for delimiter in delimiters : for i, substring in enumerate ( stack ) : substack = substring. split ( delimiter ) stack. pop ( i ) for j, _ substring in enumerate ( substack ) : stack. insert ( i + j, _ substring ) return stack | [
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def func _ regional ( regional : object ) - > list : add _ grp _ c = regional. find ('addgrpc') nodes = add _ grp _ c. find ('nodes') nodes _ regional _ list = [ ] for s in nodes. findall ('nodexy') : for t in s. findall ( '. / / node - latlon') : lat = t. find ('lat'). text lon = t. find ('lon'). text pos = ( format _... | [
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def _ update _ stats ( self ) : data = { } total _ gb ='unknown'alloc _ gb ='unknown'free _ gb ='unknown'v = self. vmem _ vip # 5. x. x arrays do not have a free _ bytes node, so we have to # compute it manually. # bn1 = " / vshare / state / global / 1 / container / % s / total _ bytes " \ % self. container bn2 = " / v... | [
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def is _ valid _ proof ( cls, block, block _ hash ) : return ( block _ hash. startswith ('0'* self. blockchain. difficulty ) and block _ hash = = block. compute _ hash ( ) ) | [
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def calculate _ rate _ common ( cls, new _ number, volume, open _ number, activation _ number ) : conversion _ rate ='' open _ rate ='' activation _ rate ='' if new _ number > 0 and volume > 0 : conversion _ rate = " { number } % ". format ( number = round ( ( volume / new _ number ) * 100, 2 ) ) if volume > 0 and open... | [
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def cogroup ( self, other : " groupeddata " ) - > " pandascogroupedops " : from pyspark. sql import groupeddata assert isinstance ( self, groupeddata ) return pandascogroupedops ( self, other ) | [
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def calculate _ advantage ( self, buffer : memory ) - > torch. tensor : with torch. no _ grad ( ) : q _ val = self. calculate _ q _ val ( buffer ) advantage = self. calculate _ gae ( buffer, q _ val ) return advantage | [
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def addnextmove ( self, side, newstatus, priority, msg ) : if side is not none and side. isunset ( ) and newstatus! = unset and \ side. id not in self. processedsideids : move = hexgamemove ( side. id, newstatus, unset, priority, msg = msg, fromsolver = true ) self. nextmovelist. append ( move ) self. processedsideids.... | [
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def _ generate _ video _ source ( self ) - > str : if self. _ srs _ enabled : return ffmpeg _ srs _ rtmp _ video _ src. format ( livestream _ name = srs _ livestream _ name _ tpl. format ( channel = self. _ stream _ conf. channel, cam _ id = self. cam. id, ) ) return ffmpeg _ cam _ video _ src. format ( user = self. _ ... | [
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def create _ rigid _ blade _ dynamics _ file ( radius, unit _ factor = u. in2ft, iaero = 1, irvflo = 0, isv66 = false, isrotor = true, * * kwargs ) : # get propeller info with io. stringio ( ) as bd _ file : def write _ array ( arr ) : for i, el in enumerate ( arr ) : if i > 0 and i % 10 = = 0 : bd _ file. write ( " \ ... | [
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def _ _ cmp _ _ ( self, other ) : assert isinstance ( other, caption ) if self. score = = other. score : return 0 elif self. score < other. score : return - 1 else : return 1 | [
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def plot _ maps _ external ( self, time, radius, *, nmax = none, reference = none, source = none ) : reference ='all'if reference is none else reference. lower ( ) source ='all'if source is none else source time = np. array ( time, dtype = float ) radius = np. array ( radius, dtype = float ) theta = np. linspace ( 1, 1... | [
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def set _ dist ( self, dist ) : assert isinstance ( dist, nc. distance ) self. dist = dist self. dist. prepare _ if _ needed ( self. be _ cosmo ) | [
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def get ( cls, service, name = " ", option _ = " " ) : try : obj = nsacl6 _ stats ( ) if not name : response = obj. stat _ resources ( service, option _ ) else : obj. acl6name = name response = obj. stat _ resource ( service, option _ ) return response except exception as e : raise e | [
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def matching _ attribute ( pair : tuple, attribute : attribute ) - > bool : return getattr ( pair [ 0 ], attribute. name ) = = \ getattr ( pair [ 1 ], attribute. name ) | [
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def marshal ( self ) : pieces = self. method. encode ( ) pieces. insert ( 0, struct. pack ('> i ', self. method. index ) ) return self. _ marshal ( pieces ) | [
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def _ _ call _ _ ( self, func ) : cls = self. _ _ class _ _ return innereventdecorator ( func, cls. event _ type, cls. valid _ args, * self. args, * * self. kwargs ) | [
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def test _ incar _ validate ( vasp _ calc, vasp _ inputs, sandbox _ folder ) : from aiida. common import validationerror inputs _ dict = {'gga':'pe ','smear': 3 # < - invalid tag } inputs = vasp _ inputs ( parameters = inputs _ dict ) calc = vasp _ calc ( inputs = inputs ) with pytest. raises ( validationerror ) : calc... | [
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def depparse ( self, mode = " enhancedplusplus " ) : assert mode in [ " basic ", " alternative ", " collapsedccprocessed ", " collapsed ", " enhanced ", " enhancedplusplus ", ], " invalid mode " dep _ pb = getattr ( self. pb, mode + " dependencies " ) if dep _ pb is none : raise attributeerror ( " no dependencies for m... | [
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def _ _ eq _ _ ( self, other ) : if not isinstance ( other, vpptokensubscription ) : return false return self. to _ dict ( ) = = other. to _ dict ( ) | [
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def predict ( self, * args, * * kwargs ) : return none | [
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def changed _ time ( self ) - > optional [ str ] : return pulumi. get ( self, " changed _ time " ) | [
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def get _ last _ names _ 2010 ( ) : filename = '. / data / names / names _ 2010census _ top1000. csv'# use pandas to get data # https : / / stackoverflow. com / questions / 42138966 / pandas - read - csv - ignore - commas - one - column - per - line df _ last = pd. read _ csv ( filename, sep = ', ', header = none ) # d... | [
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def segmentationmodel ( input _ shape = ( 256, 256, 3 ), out _ channels = 1 ) : img _ input = input ( shape = input _ shape, dtype ='float32') conv1 = conv2d ( 64, ( 3, 3 ), activation ='linear ', padding ='same ', use _ bias = false, name ='conv1') ( img _ input ) x = batchnormalization ( axis = 3 ) ( conv1 ) x = acti... | [
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def table _ location ( self, table, strip _ nameservice = false ) : self. _ tables _ init ( ) table _ location = self. table _ metadata ( table ) ['location'] if strip _ nameservice and table _ location. startswith ('hdfs : / /') : table _ location = urlparse ( table _ location ) [ 2 ] return table _ location | [
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def get _ users ( num ) : output = [ { " password " : pwd, # admin1234 " last _ login " : datetime. now ( ), " is _ superuser " : 0, " username " : fake. simple _ profile ( ) [ " username " ], " first _ name " : fake. first _ name ( ), " last _ name " : fake. last _ name ( ), " email " : fake. email ( ), " is _ staff "... | [
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def inspectloopmaker ( self, side ) : # only process unset sides if side. isunset ( ) : # get the whole link link = sidelink. fromside ( side, simple = false ) # get the connected sides on each endpoint connactivesides1 = link. endpoints [ 0 ]. getactivesidesexcept ( link. endlink [ 0 ]. id ) connactivesides2 = link. e... | [
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def tfit ( self, save = false, fitres = false ) : line = [ 6300, 6587 ] nel = len ( line ) f = plt. figure ( figsize = ( 6, 6 ) ) f. subplots _ adjust ( hspace = 0. 0001 ) ax = [ ] for i in range ( nel ) : p = getelnum. getelnum ( line [ i ] ) elstr = p. elstr. upper ( ) if i is 0 : ax. append ( plt. subplot ( nel, 1, ... | [
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def stop ( self, timeout = none ) : self. thread. stop _ request. set ( ) self. lock. acquire ( ) self. lock. notify ( ) self. lock. release ( ) self. thread. stop ( timeout = timeout ) | [
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def pcaploop ( ) : pc = pcap. pcap ( name = opt. iface, immediate = true, promisc = false ) # use a generic filter to get around bugs on certain systems pc. setfilter ('tcp or udp') try : debug ( " listening on % s : % s " % ( pc. name, pc. filter ) ) for ts, pkt in pc : ethp = dpkt. ethernet. ethernet ( pkt ) if hasat... | [
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def common _ count ( self, node _ 1, node _ 2 ) : return int ( len ( set ( nx. neighbors ( self. graph, node _ 1 ) ). intersection ( set ( nx. neighbors ( self. graph, node _ 2 ) ) ) ) ) | [
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def update _ on _ modify ( obj, event ) : registry = getutility ( iregistry ) settings = registry. forinterface ( ihootsuiteregistry ) if settings. portal _ types and ( obj. portal _ type in settings. portal _ types ) and ( event. new _ state. id = ='published') : # send the title to hootsuite datadt = obj. geteffectiv... | [
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def _ _ init _ _ ( self, name, ssn, address = " " ) : super ( ). _ _ init _ _ ( name, ssn, address ) self. course _ grades = [ ] | [
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def train _ val _ test _ split ( ) : csv _ file = " / home / gyzhang / speech _ database / cstelling / new _ fine _ cut _ audio _ data _ 1 _ 17 / cst. csv " out _ dir = ". / " csv _ lines = pd. read _ csv ( filepath _ or _ buffer = csv _ file ) # append spk _ id now pdb. set _ trace ( ) rows = csv _ lines. shape [ 0 ] ... | [
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def call ( self, pxo, training ) : point, feat, row _ splits = pxo # ( n, 3 ), ( n, c ), ( b + 1 ) feat _ q, feat _ k, feat _ v = self. linear _ q ( feat ), self. linear _ k ( feat ), self. linear _ v ( feat ) # ( n, c ) feat _ k = queryandgroup ( self. nsample, point, point, feat _ k, none, row _ splits, row _ splits,... | [
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def test _ set _ blue _ values ( ufo _ module ) : data _ in = [ gsalignmentzone ( pos = 500, size = 15 ), gsalignmentzone ( pos = 400, size = - 15 ), gsalignmentzone ( pos = 0, size = - 15 ), gsalignmentzone ( pos = - 200, size = 15 ), gsalignmentzone ( pos = - 300, size = - 15 ), ] expected _ blue _ values = [ - 200, ... | [
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def promjeni _ boju ( self ) : logging. debug ('zahtjev za promjenom boje') # defaultni izbor rgb = self. defaultgraf [ 8 ] a = self. defaultgraf [ 9 ] # convert u qcolor boja = pomocne _ funkcije. default _ color _ to _ qcolor ( rgb, a ) # poziv dijaloga za promjenu boje color, test = qtgui. qcolordialog. getrgba ( bo... | [
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def _ get _ next _ filenames ( self, batch _ size, dataset, return _ start _ pos = false ) : filenames, start _ pos = none, none with self. position _ lock : if dataset = ='train': start _ pos = self. _ train _ pos filenames = self. _ train _ filenames [ self. _ train _ pos : self. _ train _ pos + batch _ size ] if len... | [
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def state _ attributes ( self ) : return self. _ variables. copy ( ) | [
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def setrelationships ( self, layers ) : if self. inputlayer = = false : self. parents = layers [ self. layernum - 1 ] if self. outputlayer = = false : self. children = layers [ self. layernum + 1 ] | [
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def _ _ truediv _ _ ( self, other ) : other = build _ cpo _ expr ( other ) assert self. is _ kind _ of ( type _ floatexpr ) and other. is _ kind _ of ( type _ floatexpr ), " operands of / should be float or integer expressions " return cpofunctioncall ( oper _ float _ div, type _ floatexpr, ( self, other ) ) | [
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def great _ circle _ distance ( self, * * kwargs ) : r = 6371 # radius of earth in kilometers other _ latitude, other _ longitude = parse _ lat _ lng ( kwargs ) if other _ latitude is none or other _ longitude is none : return none other _ cos _ rad _ lat = math. cos ( math. radians ( other _ latitude ) ) other _ sin _... | [
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def set _ present ( self ) : self. presence = _ pres _ present | [
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def oriented ( self, * args ) : return _ topods. topods _ shape _ oriented ( self, * args ) | [
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def is _ longer ( dna1, dna2 ) : if dna1 > dna2 : return true elif dna1 = = dna2 : return false else : return false | [
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def winbio _ winbioenrollcommit ( jitter ) : ret _ ad, args = jitter. func _ args _ stdcall ( [ " sessionhandle ", " identity ", " isnewtemplate " ] ) raise runtimeerror ('api not implemented') jitter. func _ ret _ stdcall ( ret _ ad, ret _ value ) | [
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def get _ page ( self, target _ url : str ) - > hostednumberorderpage : response = self. _ version. domain. twilio. request ( " get ", target _ url ) return hostednumberorderpage ( self. _ version, response ) | [
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def average _ max _ temp _ month ( year : int, month : str ) - > float : max _ temp = [ temp [ 1 ] for temp in temp _ dataset [ year ] [ month ] ] return statistics. mean ( max _ temp ) | [
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def _ _ init _ _ ( self ) : if tdsconfiguration. _ _ instance is none : tdsconfiguration. _ _ instance = self self. db _ type = none self. db _ details = { } try : try : tds _ dir _ path = os. path. dirname ( os. path. abspath ( _ _ file _ _ ) ) file _ object = xml. dom. minidom. parse ( tds _ dir _ path + r'\ tds. xml... | [
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def _ network _ template ( self, state ) : weights _ initializer = slim. variance _ scaling _ initializer ( factor = 1. 0 / np. sqrt ( 3. 0 ), mode ='fan _ in ', uniform = true ) net = tf. cast ( state, tf. float32 ) net = tf. div ( net, 255. ) net = slim. conv2d ( net, 32, [ 8, 8 ], stride = 4, weights _ initializer =... | [
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def read _ data _ from _ file ( file _ name, list _ of _ product _ objects ) : try : file = open ( file _ name, " r " ) except filenotfounderror as e : print ( " please make sure the file by the name of : " + file _ name + " exists! " ) print ( " if using the cmd window, change directory to the folder you're working in... | [
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def read _ neurone _ events ( fpath, session _ phase = 1, sampling _ rate = none ) : fname = path. join ( fpath, str ( session _ phase ), " events. bin " ) # get the sampling rate unless provided if sampling _ rate is none : protocol = read _ neurone _ protocol ( fpath ) sampling _ rate = protocol ['meta'] ['sampling _... | [
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def encode _ image ( image ) : encoded _ image = tf. train. feature ( bytes _ list = tf. train. byteslist ( value = [ image. tostring ( ) ] ) ) feature _ dict = { " image " : encoded _ image } features = tf. train. features ( feature = feature _ dict ) return tf. train. example ( features = features ) | [
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def get _ market _ stats ( self, uuid ='market ', filter = none, * * kwargs ) : if filter : return self. request ( f'markets / { uuid } / stats ', method ='post ', dto = filter, * * kwargs ) return self. request ( f'markets / { uuid } / stats ', * * kwargs ) | [
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def _ test _ decision _ tree _ regression ( ) : folder _ name = ". " from os import listdir files = sorted ( [ file for file in listdir ( folder _ name ) if " csv " in file ] ) for file in files : print file, test _ decision _ tree _ regression ( file ) | [
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def append _ file ( self, file, * * options ) : self. append ( png. open _ any ( file ), * * options ) | [
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def find _ min _ ecm ( self ) : ecm _ list = [ ] for n in range ( 0, 10 ) : p = n * 0. 1 check _ error = pd. dataframe ( ) check _ error ['predictions'] = self. error _ df. probability > p check _ error ['labels _ bool'] = self. error _ df. labels _ bool check _ error ['fn'] = check _ error. parallel _ apply ( lambda r... | [
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def box _ contains ( big, small ) : return ( interval _ contains ( big [ 0 ], small [ 0 ] ) and interval _ contains ( big [ 1 ], small [ 1 ] ) ) | [
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def validate _ codons ( starts, stops ) : validalphabets = ['a ','c ','t ','g'] if not starts : starts = [ ] if not stops : stops = [ ] # check lengths for c in starts : if not len ( c ) = = 3 : print ('invalid start codon :'+ c ) return false if not ( ( c [ 0 ] in validalphabets ) and ( c [ 1 ] in validalphabets ) and... | [
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def target _ portal _ member ( self ) : return self. _ target _ portal _ member | [
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def forget _ category ( data : dictionary ) : display _ categories ( data ) category _ choice = input ( " choose category : " ) del data [ category _ choice ] print ( " successfully deleted category! " ) | [
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def builderrorresponse ( self, request, error = none ) : if error is not none : cls, e, tb = error else : cls, e, tb = sys. exc _ info ( ) fault = build _ fault ( cls, e, tb, self. gateway. debug ) return remoting. response ( fault, status = remoting. status _ error ) | [
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def string _ to _ list ( string ) : numlist = [ ] for num in string. split ('\ t') : numlist. append ( int ( num ) ) return numlist | [
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def predict ( self, df : pd. dataframe ) : return self. artifacts. model. predict ( df ) | [
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def plot _ confusion _ matrix ( cm, classes, normalize = false, title ='confusion matrix ', cmap = plt. cm. blues ) : if normalize : cm = cm. astype ('float') / cm. sum ( axis = 1 ) [ :, np. newaxis ] print ( " normalized confusion matrix " ) else : print ('confusion matrix, sentiment comparison \ n 1000 quatrains') pr... | [
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def bounding _ box ( filename ) : # find 3d bounding box box = np. zeros ( ( 3, 2 ) ) # init bounding box flag = 0 # ascending for i, dim in enumerate ( filename. shape ) : # loop through ( x, y, z ) # ascending search while flag = = 0 : for dim _ test in np. arange ( dim ) : # get sum of all values in each slice if i ... | [
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def _ timeleft ( info _ dict, claim = " exp " ) - > optional [ int ] : if claim in info _ dict : now = time ( ) timeleft = info _ dict [ claim ] - now return timeleft return none # pragma : no cover | [
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def test _ valid _ data ( self ) : # send all valid form data form = self. form _ data ( start _ date = " 2020 - 06 - 22 ", end _ date = " 2020 - 06 - 27 ", note = " some note content from test ", slack _ channel = " # slack ", project _ type = self. project _ type. pk, client = self. client. pk, ) self. asserttrue ( f... | [
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def create _ definition _ file ( cls, path _ and _ name = none ) : if path _ and _ name is none : path = rpw. ui. forms. select _ folder ( ) path _ and _ name = rpw. ui. forms. textinput ( " name ", r " { } \ pyrevitmep _ sharedparameters. txt ". format ( path ), false ) with open ( path _ and _ name, " w " ) : pass rp... | [
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def iseditable ( self ) : pass | [
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def cross _ validation ( ww _ data, rw _ data, k ) : k _ accuracy _ list = [ ] partition _ size = ww _ data. shape [ 0 ] / k # print ( " partition _ size is ", partition _ size ) # iterate through each partition ( which is k ) for i in range ( k ) : # print ( " partition _ size is ", partition _ size ) # print which pa... | [
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0.6704579591751099,
-0.10674825310707092,
-0.6314616203308105,
0.4696500897407532,
... |
def main ( argv ) : database _ file _ path = flags. database uniprot _ list _ path = flags. uniprot with open ( database _ file _ path,'r') as file : file _ content = file. read ( ) pieces = file _ content. split ('\ n \ n') [ 1 ]. split ('\ n / / \ n') all _ values = collections. defaultdict ( set ) for piece in piece... | [
0.2619052231311798,
-0.02019137144088745,
0.813467800617218,
0.04700309783220291,
0.6567875742912292,
0.8991515040397644,
0.12458992004394531,
1.5636075735092163,
-0.8356372117996216,
0.3917338252067566,
-0.7000777721405029,
-0.19367775321006775,
0.1876504123210907,
-0.216483935713768,
-... |
def channel ( self, channel _ name ) : return chat ( self, channel _ name, " channel " ) | [
0.20647118985652924,
-0.4714312255382538,
0.13970990478992462,
-0.4046971797943115,
0.11246030032634735,
0.30823683738708496,
-0.4028395414352417,
-0.0040429155342280865,
-0.11487088352441788,
-0.5418782234191895,
0.4627728760242462,
1.075875997543335,
-0.1256290078163147,
-0.2555593550205... |
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