text stringlengths 25 2.19k | embedding listlengths 768 768 |
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def _ mgui _ get _ cell ( self, row : int, col : int ) - > any : item = self. _ qwidget. item ( row, col ) if item : return item. data ( self. _ data _ role ) widget = self. _ qwidget. cellwidget ( row, col ) if widget : return getattr ( widget, " _ magic _ widget ", widget ) | [
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def detect _ duplicates ( self, responses ) : if len ( responses ) > len ( set ( responses ) ) : raise rfx. duplicatechoice ( ) | [
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def _ get _ probability ( self, hypothesis ) : y = self. _ train _ outputs return y. count ( hypothesis ) / ( float ( len ( y ) ) ) | [
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def readjson ( self ) : return json. loads ( self. _ file. readline ( ). decode ( " utf - 8 " ) ) | [
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def lines ( self, lines ) : if self. cache _ content : self. cached _ content =''. join ( [ b2u ( l ) for l in lines ] ) try : with self. _ open _ dockerfile ('wb') as dockerfile : dockerfile. writelines ( [ u2b ( l ) for l in lines ] ) except ( ioerror, oserror ) as ex : logger. error ( " couldn't write lines to docke... | [
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def check _ jsov _ special ( special ) : for key in special. keys ( ) : if key not in utils. children _ attributes. keys ( ) : print ( " error :'{ }'is not a recognized attribute. ". format ( key ) ) return false return true | [
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def test _ double _ iter ( ) : class iterscraper ( scraper ) : def scrape ( self ) : yield self. scrape _ people ( ) def scrape _ people ( self ) : p = person ( " michael jordan " ) p. add _ source ( " http : / / example. com " ) yield p with mock. patch ( " json. dump " ) as json _ dump : record = iterscraper ( juris,... | [
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def announce _ result ( ai _ move, outcome ) : print ('the ai plays :'+ ai _ move ) print ('the winner is :'+ outcome ) print ('' ) | [
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def check _ lv _ exists ( self, name ) : subprocess. check _ output ( ['lvdisplay ', name ] ) | [
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def create _ empty _ region _ matrix ( region, resolution, genome ) : check _ region ( region = region, genome = genome ) chrom _ beads = bead _ ranges _ in _ chromosome ( chromosome = region [ 0 ], genome _ version = genome, resolution = resolution ) start _ bead, end _ bead = 0, 0 for i in range ( len ( chrom _ beads... | [
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async def message _ delete _ bulk _ middleware ( self, payload : gatewaydispatch ) : return " on _ message _ delete _ bulk ", [ messagedeletebulkevent. from _ dict ( construct _ client _ dict ( self, payload. data ) ) ] | [
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def user _ count ( self ) : return classmembership. objects. filter ( class _ taking _ id = self. id, is _ educator = false ). count ( ) | [
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def test _ toml _ columns ( sample _ data, sample _ sheet ) : assert set ( sample _ data ) = = set ( c. name for c in sample _ sheet. columns ) | [
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def train ( self, training _ data, epochs, mini _ batch _ size, eta, test _ data = test _ data ) : # provide training data, number of epochs to train, batch size, the learning rate and the test _ data # learning rate : how fast do you want the sgd to proceed n _ test = len ( test _ data ) n = len ( training _ data ) fo... | [
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def send _ to ( self, clients ) : var _ vals = { } with self. model. graph. as _ default ( ) : all _ vars = tf. trainable _ variables ( ) for v in all _ vars : val = self. model. sess. run ( v ) var _ vals [ v. name ] = val for c in clients : with c. model. graph. as _ default ( ) : all _ vars = tf. trainable _ variabl... | [
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def find _ nearest ( array, value ) : index = ( np. abs ( array - value ) ). argmin ( ) return index | [
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def k _ in ( stddev ) : return tf. truncated _ normal _ initializer ( mean = 0, stddev = stddev, dtype = tf. float32 ) | [
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async def revisions ( self, path, * * kwargs ) : prefix = path. full _ path. lstrip ('/') #'/'- >'','/ a / b'- >'a / b'query _ parameters = {'bucket': self. bucket. name,'prefix': prefix,'delimiter':'/'} url = self. connection. generate _ presigned _ url ('list _ object _ versions ', params = query _ parameters, expire... | [
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def process _ state _ info ( self, state ) : quickbotsupervisor. process _ state _ info ( self, state ) # the pose for controllers self. parameters. pose = self. pose _ est # update the trajectory self. tracker. add _ point ( self. pose _ est ) | [
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def handle _ data ( handle, value ) : accelerometer = value x _ bytes = bytes ( [ accelerometer [ 0 ], accelerometer [ 1 ] ] ) y _ bytes = bytes ( [ accelerometer [ 2 ], accelerometer [ 3 ] ] ) z _ bytes = bytes ( [ accelerometer [ 4 ], accelerometer [ 5 ] ] ) x _ short = struct. unpack ('< h ', x _ bytes ) [ 0 ] y _ s... | [
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def gen _ debug _ image _ and _ display ( resized _ frame, final _ mask, final _ result, anchor _ point _ overlay _ display _ img, ground _ truth _ output, wait _ time _ ms = 50 ) : white _ colour _ image = np. ones ( resized _ frame. shape, dtype = np. uint8 ) * 255 final _ mask _ colour = cv2. bitwise _ and ( white _... | [
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def doc ( doc _ id ) : docu = document. retrieve _ document ( doc _ id ) if not docu : abort ( 404 ) return render _ template ('doc. html ', page ='doc ', * * docu ) | [
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def insert _ record ( self, device _ id, timestamp, measurements, data _ types, values ) : data _ types = [ data _ type. value for data _ type in data _ types ] request = self. gen _ insert _ record _ req ( device _ id, timestamp, measurements, data _ types, values ) status = self. _ _ client. insertrecord ( request ) ... | [
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def _ bell _ function _ table ( ) : bell _ function _ dict = dict ( ) # c - band m, a, b dbz _ dict = {'cr': ( - 2. 8, 12., 5. ),'ag': ( 17., 18. 1, 10. ),'lr': ( 1. 75, 29., 10. ),'rn': ( 39., 19., 10. ),'rp': ( 37., 9. 2, 5 ), # was 0. 8 originally'vi': ( - 1., 11., 5. ),'ws': ( 24., 21. 3, 10. ),'mh': ( 58. 18, 8., ... | [
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def plot _ timeseries _ tdep ( self, radius, theta, phi, * * kwargs ) : self. model _ tdep. plot _ timeseries ( radius, theta, phi, * * kwargs ) | [
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def _ forward ( self, i ) : # set bias and input self. i [ : - 1, 0 ] = i self. i [ - 1 :, 0 ] = self. bias # calculate hidden layer and set bias. # input potential u _ hidden is calculated by using the dot product of the # hidden layer's weights and the values from the network's input. # the results are passed to the ... | [
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def stoogeagent ( board, player ) : # collect open squares possiblemoves = [ ] for x in range ( len ( board ) ) : if board [ x ] = = consts. unowned : possiblemoves. append ( x ) # randomly choose open square return possiblemoves [ random. randint ( 0, len ( possiblemoves ) - 1 ) ] | [
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def _ _ init _ _ ( self, name, id ) : self. _ _ name = name self. _ _ first _ field = playingfield. playingfield ( 16 ) self. _ _ second _ field = playingfield. playingfield ( 16 ) self. _ _ first _ player = id self. _ _ second _ player = none self. _ _ status = gamestatus. waiting # turn is either 1 or 2 from random i... | [
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def test _ core _ files ( uri, filename, type _ hints ) : with requests _ mock. mocker ( ) as mock : # interdict network requests to retrieve data from the localized store instead. mock. get ( uri, content = read _ file ( filename ) ) results = datafy. get ( uri, type _ hints = type _ hints ) assert ok ( results ) expe... | [
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def topods _ compound ( * args ) : return _ topods. topods _ compound ( * args ) | [
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def choose _ who _ to _ vaccinate _ example ( graph : networkx. graph ) - > list : node2degree = dict ( graph. degree ) sorted _ nodes = sorted ( node2degree. items ( ), key = lambda item : item [ 1 ], reverse = true ) [ : 100 ] people _ to _ vaccinate = [ node [ 0 ] for node in sorted _ nodes ] return people _ to _ va... | [
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def hubble _ constant ( self ) : return self. _ hubble _ constant | [
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def _ _ getitem _ _ ( self, idx ) : slide _ id = self. data _ df. image _ id. values [ idx ] if not self. use _ saved : image = openslide. openslide ( os. path. join ( self. image _ dir, f'{ slide _ id }. tiff') ) img = image. read _ region ( ( 0, 0 ), self. zoom _ level, image. level _ dimensions [ self. zoom _ level ... | [
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async def post ( self ) : if " document " not in self. request. files : raise httperror ( 422, " need a document " ) document = self. request. files [ " document " ] [ 0 ] logging. info ( " uploaded file % s % s % i bytes " % ( document [ " filename " ], document [ " content _ type " ], len ( document [ " body " ] ) ) ... | [
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def _ _ init _ _ ( self, params, lr : float = 1e - 2, num _ burn _ in _ steps : int = 3000, noise : float = 0., mdecay : float = 0. 05, scale _ grad : float = 1. ) - > none : if lr < 0. 0 : raise valueerror ( " invalid learning rate : { } ". format ( lr ) ) if num _ burn _ in _ steps < 0 : raise valueerror ( " invalid ... | [
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def extract _ item _ from _ json ( self, json _ obj ) : pass | [
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def from _ buffer ( cls, buffer : pa. buffer, info : optional [ datasetinfo ] = none, split : optional [ namedsplit ] = none, indices _ buffer : optional [ pa. buffer ] = none, ) - > " dataset " : table = inmemorytable. from _ buffer ( buffer ) if indices _ buffer is not none : indices _ table = inmemorytable. from _ b... | [
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def push ( self, priority, item ) : if not isinstance ( priority, int ) : raise valueerror ( " priority must be an int " ) if priority not in self. queue : self. queue [ priority ] = [ ] self. queue [ priority ]. append ( item ) | [
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def compute _ gradient _ lasso ( y, tx, w, lambda _ ) : n = int ( y. shape [ 0 ] ) e = y - tx. dot ( w ) return - ( np. transpose ( tx ). dot ( e ) ) / ( n ) + lambda _ * np. sign ( w ) | [
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def name ( cls ) : return " library _ content " | [
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def items ( self ) : # - > generator [ tuple [ unknown, any ] | tuple [ tuple [ unknown, unknown ], any ], none, none ] :... | [
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def test _ diff _ of _ vectors ( self ) : self. assertequals ( [ 1, 1, 1 ], self. vector - vector ( [ 0, 1, 2 ] ) ) self. assertequals ( [ 1, 1, 1 ], self. vector - [ 0, 1, 2 ] ) self. assertraises ( nonnumericerror, self. vector. _ _ sub _ _, [ 1, 2,'a'] ) self. assertraises ( nonvectorerror, self. vector. _ _ sub _ _... | [
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def _ check _ dps _ conn ( self, num _ trys = 3, wait = 10, restart = false ) : topo _ dps = self. _ cur _ topo. dpid _ table. keys ( ) t = 0 while t < num _ trys : con _ dps = map ( topolib. dpid _ to _ str, self. _ get _ con _ dps ( ) ) un _ con _ dps = list ( set ( topo _ dps ) - set ( con _ dps ) ) # all are connec... | [
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def _ _ init _ _ ( self ) : self. _ root = none self. _ size = 0 | [
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def setup ( self ) : self. app = create _ app ( " testing ", false ) self. app _ context = self. app. app _ context ( ) self. app _ context. push ( ) db. create _ all ( ) role. insert _ roles ( ) self. client = self. app. test _ client ( ) | [
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def _ _ iter _ _ ( self ) : yield self. x yield self. y yield self. z yield self. w | [
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def setup _ app ( globals _ dict = none ) : # check if we have a zope environment aka'app'mod = _ _ import _ _ ( _ _ name _ _ ) outer _ frame = sys. _ getframe ( 1 ) outer _ globals = outer _ frame. f _ globals if'app'in outer _ globals : return outer _ globals ['app'] elif globals _ dict and'app'in globals _ dict : re... | [
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def showindicator ( self, on ) : if on : self. indicator. setcolor ( qcolor ( " green " ) ) else : self. indicator. setcolor ( qcolor ( " red " ) ) | [
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def test _ parameterspacenorm ( ) : # parameterspacenorm = true # to check if the velocity is constant we can compare the speed ( the norm # of velocity ) in each step to the mean speed value over the entire steps. # if the velocity is constant, the speed in each step should be close # enough to the mean speed, where t... | [
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def created _ date ( self ) : return self. _ created _ date | [
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def get _ svo ( self, tokens ) : svo _ pairs = [ ] # search svo for the root verb roots = list ( item for item in tokens if item. dep _ = = " root " and item. pos _ in self. verbs ) for root in roots : if self. is _ passive ( root ) : svo _ pairs. append ( self. extract _ passive _ svo ( root ) ) else : svo _ pairs. ap... | [
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def generateconfig ( _ ) : return " " " resources : - name : % s type : compute. v1. instance properties : machinesize : % s " " " % ( helpers. common. generatemachinename ( json. dumps ('myfrontend'). strip ('"'),'prod'), helpers. extra. common2. generatemachinesize ( ) ) | [
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def get _ stream _ mapping _ for _ value ( self, value : any ) : if self. stdin and self. stdin = = value : return mappediostream ( id = mappediostream. generate _ id ( " stdin " ), stream _ type = " stdin " ) if self. stdout and self. stdout = = value : return mappediostream ( id = mappediostream. generate _ id ( " st... | [
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def network _ watcher _ name ( self ) - > pulumi. input [ str ] : return pulumi. get ( self, " network _ watcher _ name " ) | [
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def insert _ aligned _ record ( self, device _ id, timestamp, measurements, data _ types, values ) : data _ types = [ data _ type. value for data _ type in data _ types ] request = self. gen _ insert _ record _ req ( device _ id, timestamp, measurements, data _ types, values, true ) status = self. _ _ client. insertrec... | [
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def command _ kickme ( self, bot : bot, update : update ) - > none : self. logger. info ( " / kickme command sent by % s ", self. _ log _ user ( update. message. from _ user ) ) target = update. message. from _ user bot. kick _ chat _ member ( chat _ id = self. config. group _ id, user _ id = target. id ) bot. unban _ ... | [
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def get _ entity _ actions ( self, uuid, * * kwargs ) : return self. request ( f'entities / { uuid } / actions ', * * kwargs ) | [
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def set _ inverting ( self, state ) : return self. set _ option ( 2, 0x01 if state else 0 ) | [
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def efficiency ( self ) : if self. average _ heart _ rate : return run. compute _ efficiency ( self. distance _ in _ meters ( ), self. heartbeats ( ) ) else : return 0 | [
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def fragment _ decode ( pointer, prefix = " # ", output = tuple ) : segments = pointer. split ( " / " ) decoded = ( part _ decode ( unquote ( segment ) ) for segment in segments ) actual = next ( decoded ) if prefix! = actual : raise valueerror ( " expected prefix'{ } ', but was'{ }'". format ( prefix, actual ) ) retur... | [
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def hung _ ysb _ measure _ data ( cls, staff _ obj, date _ min = 0, date _ max = 0 ) : product _ list = [ 3 ] if isinstance ( staff _ obj, staff ) : staff = staff _ obj else : staff = staff _ obj. staff staff _ obj. ysb _ volume = 0 staff _ obj. ysb _ conversion _ rate = " 0 % " staff _ obj. ysb _ open _ number = 0 sta... | [
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def fragment _ encode ( parts, prefix = " # " ) : encoded = ( quote ( part _ encode ( part ), safe = " / ~ " ) for part in parts ) return " / ". join ( chain ( [ prefix ], encoded ) ) | [
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def _ add _ run ( run ) : if run. name not in _ state. runs _ by _ name : _ state. runs _ by _ name [ run. name ] = [ ] _ state. counts _ by _ name [ run. name ] = [ 0, 0 ] if _ is _ skipped ( run ) : _ state. counts _ by _ name [ run. name ] [ 1 ] + = 1 else : _ state. counts _ by _ name [ run. name ] [ 0 ] + = 1 if r... | [
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def loss _ function ( self, prbs, labels, mask ) : # note : you can reuse this from rnn _ model. loss = tf. keras. losses. sparse _ categorical _ crossentropy ( tf. boolean _ mask ( labels, mask ), tf. boolean _ mask ( prbs, mask ), from _ logits = false ) loss = tf. math. reduce _ mean ( loss ) return loss | [
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def waittime ( self, write : bool = false ) : # take the previous requestsize in account calculating the desired # delay this time thisdelay = self. getdelay ( write = write ) now = time. time ( ) ago = now - ( self. last _ write if write else self. last _ read ) return max ( 0. 0, thisdelay - ago ) | [
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def dirichlet ( x, n ) : d = _ np. zeros ( x. shape, dtype = x. dtype ) k = x / / ( 2 * _ np. pi ) mask _ c2 = x / ( 2 * _ np. pi ) - k = = 0 mask _ c1 = _ np. logical _ not ( mask _ c2 ) d [ mask _ c1 ] = _ np. sin ( 0. 5 * n * x [ mask _ c1 ] ) / ( n * _ np. sin ( 0. 5 * x [ mask _ c1 ] ) ) d [ mask _ c2 ] = ( - 1. 0... | [
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def id ( self ) - > dict : return self. _ id | [
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def getname ( self, username ) : with self. con : self. cur. execute ( " select realname from users where name ='" + username + "'; " ) name = self. cur. fetchall ( ) for na in name : for n in na : return n | [
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def _ _ handleholidays ( self ) : self. invitethemes = range ( len ( partyglobals. invitetheme ) ) if hasattr ( base. cr, " newsmanager " ) and base. cr. newsmanager : holidayids = base. cr. newsmanager. getholidayidlist ( ) if toontownglobals. valentines _ day not in holidayids : self. invitethemes. remove ( partyglob... | [
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def run ( ) : # construct the multivariate kernel densimeans, ty estimator graph - there's a bit of manual dependency injection here conf = mv _ kernel _ configuration. get _ configuration ( ) random = random _ behavior. random ( ) data _ generator = dg. gaussianmixture ( conf, random ) actuals = none if conf. fit _ to... | [
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def get _ service _ resources _ view ( request ) : service = ar. get _ service _ matchdict _ checked ( request ) svc _ res _ json = sf. format _ service _ resources ( service, db _ session = request. db, show _ all _ children = true, show _ private _ url = true ) return ax. valid _ http ( httpsuccess = httpok, content ... | [
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def convert _ to _ resource ( obj, * args, * * kwargs ) : # handle model instances if isinstance ( obj, models. model ) : obj = model _ to _ resource ( obj, * args, * * kwargs ) # handle querysets elif isinstance ( obj, queryset ) : obj = queryset _ to _ resource ( obj, * args, * * kwargs ) # handle dict instances elif... | [
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def _ which ( x, se, f ) : # get the index of the best score if callable ( f ) : return f ( x ) if f = = " min " : return np. argmin ( x ) if f = = " 1se " : " " " return the first score which exceeds the remaining ( higher penalized ) scores by at least 1 standard error. if none of the values exceed the most penalized... | [
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def first ( self ) : try : if self. _ first is none : self. _ first = self. take ( 1 ). list ( ) [ 0 ] return self. _ first except indexerror : raise valueerror ('empty dataset') | [
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def get _ initializer ( self, init _ op, seed = none, init _ weight = none ) : if init _ op = = " uniform " : assert init _ weight return tf. random _ uniform _ initializer ( - init _ weight, init _ weight, seed = seed ) elif init _ op = = " glorot _ normal " : return tf. contrib. keras. initializers. glorot _ normal (... | [
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def read _ from _ proccessout ( self ) : while self. alive : data = self. p. stdout. raw. read ( 1024 ). decode ('utf - 8') self. out _ queue. put ( data ) | [
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def preprocess _ df ( df, categorical _ columns ) : num _ cols = [ col for col in df. columns if col not in categorical _ columns ] res, means, stds = df _ standardize ( df, num _ cols ) res = to _ one _ hot ( res, categorical _ columns ) return res, means, stds | [
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def plot _ radial _ proj _ prop ( props, snaps, rmax = 20, rmin = 0. 1, bin _ nums = 50, log _ bins = false, labels = none, foutname ='radial _ proj _ prop. png ', \ style ='color - linestyle ', include _ obs = true ) : # get plot stylization linewidths, colors, linestyles = plt _ set. setup _ plot _ style ( len ( snap... | [
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def commands ( request ) : global light _ status # variable to know if the light connected in arduino is already on or not ( light switch ) if'search'in request : # if the user says'search'in their sentence search ( ) elif'what time is it'in request : # if the user says'what time is it'in their sentence time _ now = st... | [
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def has _ been _ generated ( self ) : if len ( self. _ maze ) > 0 and len ( self. _ maze [ 0 ] ) > 0 : return true else : return false | [
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def calcultatelogprob ( self, * argv, * * kwargs ) : if ( kwargs [ " sd " ] is none ) : sd = kwargs [ " hyperstates " ] [ - 1 ] else : sd = kwargs [ " sd " ] current = kwargs [ " predict " ] ( argv [ 0 ], n = kwargs [ " n " ] ) for x in range ( len ( current ) ) : current [ x ] = tf. transpose ( current [ x ] ) realval... | [
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def main ( ) : game = input ( " do you want to play sudoku ( s ) or word ladder ( w )? " ) while game! = " s " and game! = " w " : print ( " that is not a valid input. " ) game = input ( " do you want to play sudoku ( s ) or word ladder ( w )? " ). lower ( ) if game = = " s " : view _ type = " text " g = sudokupuzzle (... | [
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def iter _ pypi _ lines ( pypi _ project : str, create : bool = true ) - > iterable [ line ] : pypi _ project = pypi _ project. replace ( " _ ", " - " ) metadata = requests. get ( f " https : / / pypi. org / pypi / { pypi _ project } / json ", timeout = 300 ). json ( ) [ " info " ] package _ qid = get _ package _ qid (... | [
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def run ( command _ line _ str, timeout _ sec, * * kwargs ) : if'stdout'in kwargs : raise valueerror ('stdout argument not allowed.') inputs _ args = shlex. split ( command _ line _ str ) process = subprocess. popen ( inputs _ args, stdout = subprocess. pipe, preexec _ fn = os. setsid, * * kwargs ) result = commandline... | [
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def get ( resource _ name : str, id : pulumi. input [ str ], opts : optional [ pulumi. resourceoptions ] = none ) - >'sharesubscription': opts = pulumi. resourceoptions. merge ( opts, pulumi. resourceoptions ( id = id ) ) _ _ props _ _ = dict ( ) _ _ props _ _ [ " created _ at " ] = none _ _ props _ _ [ " expiration _ ... | [
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def count _ from _ top ( img ) : pixel _ count = 0 for row in img : unique _ pixel _ vals = np. unique ( row ) if 255 not in unique _ pixel _ vals : # ignore shading ( values between 0 - 255 ) pixel _ count + = 1 else : return pixel _ count | [
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def _ _ init _ _ ( self, parent : coin, puzzle _ hash : bytes32, amt : uint64, source : program ) : super ( ). _ _ init _ _ ( parent, puzzle _ hash, amt ) self. source = source | [
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def test _ change _ requirement _ setting ( self ) : pass | [
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def load _ snippet _ file ( self, snippet ) : # first thing is to check, wich files # are going to be used files _ and _ folders ='\ n '. join ( snippet. files _ and _ folders ) # there may be variables used in the paths path _ vars = self. find _ vars ( files _ and _ folders ) # files to be used for the template templ... | [
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def get _ market _ entities _ stats ( self, uuid ='market ', filter = none, * * kwargs ) : if filter : return self. request ( f'markets / { uuid } / entities / stats ', method ='post ', dto = filter, * * kwargs ) return self. request ( f'markets / { uuid } / entities / stats ', * * kwargs ) | [
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def receive _ dataset ( self, training _ dataset : trainingdataset ) : expansion _ service = duplicationservice ( training _ dataset, self. preference. general _ preference ) modification _ service = modificationservice ( self. preference. modification _ preference, self. progress _ bar _ delegate ) training _ dataset.... | [
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def _ _ init _ _ ( self, type _, id _, name = none ) : self. type = type _ self. id = id _ if name is none : name = type _ self. name = name | [
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def test _ it _ has _ all _ the _ fields ( self ) : data = {'owner': self. user. id,'name': " instance " } form = writeitinstancecreateformpopiturl ( ) self. assertin ( " name ", form. fields ) self. assertnotin ( " slug ", form. fields ) self. assertnotin ( " persons ", form. fields ) self. assertin ( " moderation _ n... | [
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def get _ diffusion _ coefficients ( d1, d2, r1, r2, frame _ duration, nframes ) : states = [ ] switch _ times = [ ] ds = np. zeros ( nframes ) if r1 = = 0 : ds [ : ] = d1 return ds lifetime = nframes * frame _ duration t = 0 # time in seconds if np. random. uniform ( ) < = r2 / ( r1 + r2 ) : # this is the equilibrium ... | [
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def solve _ resolve ( expr, vars ) : objs, _ = _ _ solve _ for _ repeated ( expr. lhs, vars ) member = solve ( expr. rhs, vars ). value try : results = [ structured. resolve ( o, member ) for o in repeated. getvalues ( objs ) ] except ( keyerror, attributeerror ) : # raise a better exception for the non - existent memb... | [
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def preproc _ subtaskc ( df, df _ outer, cats, part _ task ) : # create nullmatrix matrix = np. zeros ( ( len ( df ), len ( cats ) ) ) opinions _ index = pd. dataframe ( matrix, columns = cats ) df _ long = pd. concat ( [ df, opinions _ index ], axis = 1 ) # fill opinions _ index for i in np. arange ( 0, len ( df _ lon... | [
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def dcl _ da ( cl _ data, re, alpha, h = 0. 01 ) : f = interpolate _ 2d _ linear ( dict _ fn = cl _ data, re = re, aoa = alpha ) f _ h = interpolate _ 2d _ linear ( dict _ fn = cl _ data, re = re, aoa = alpha + h ) return ( f _ h - f ) / h | [
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def multivariate _ normal ( x, d, mean, covariance ) : x _ m = x - mean return ( 1. / ( np. sqrt ( ( 2 * np. pi ) * * d * np. linalg. det ( covariance ) ) ) * np. exp ( - ( np. linalg. solve ( covariance, x _ m ). t. dot ( x _ m ) ) / 2 ) ) | [
-0.4729349911212921,
0.0915374681353569,
0.5808465480804443,
0.02627384290099144,
-1.8401285409927368,
-0.1661539226770401,
-0.8070128560066223,
0.7124980688095093,
0.1971396654844284,
0.7503933310508728,
-0.043610263615846634,
0.44785967469215393,
-0.06991461664438248,
-0.5164689421653748... |
def convert _ output _ vector ( convert _ list ) : output = [ ] for result in convert _ list : output. append ( result. index ( max ( result ) ) ) return output | [
-1.6402747631072998,
-0.8915108442306519,
0.6611618399620056,
1.1179094314575195,
0.6480387449264526,
-0.6094104051589966,
0.5570105314254761,
0.151702418923378,
0.5100539922714233,
0.03351295739412308,
-0.9591802358627319,
-0.3063393235206604,
0.031207039952278137,
0.2221672534942627,
-... |
def get _ vcf _ coords ( self, transcript = none ) : chrom, start, end = self. get _ coords ( transcript ) # inserts and deletes require left - padding by 1 base if self. mutation _ type in ( " = ", " > " ) : pass elif self. mutation _ type in ( " del ", " ins ", " dup ", " delins " ) : # indels have left - padding. st... | [
-0.8135880827903748,
-0.20623880624771118,
0.5984067916870117,
0.6463396549224854,
0.00737775769084692,
-0.5795743465423584,
0.10234253108501434,
-0.12528613209724426,
-0.6135857105255127,
0.40200576186180115,
-0.6279820799827576,
0.29862651228904724,
-0.9204355478286743,
-0.50027114152908... |
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