text stringlengths 25 2.19k | embedding listlengths 768 768 |
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def starting _ signature ( self ) : return self. starting _ group or self. starting _ single | [
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def gridon ( self ) : # noqa : n802 return ( self. _ gridon and ( self. _ has _ default _ loc ( ) or transforms. interval _ contains ( self. get _ view _ interval ( ), self. get _ loc ( ) ) ) ) | [
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def test _ cancel _ deposit _ only _ paid _ does _ not _ create _ transfer _ block ( self ) : self. assertfalse ( block. objects. exists ( ) ) event = baker. make _ recipe ('booking. future _ pc ', cost = 10 ) # deposit only paid dep _ paid _ booking = baker. make _ recipe ('booking. booking ', user = self. user, event... | [
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def search ( self, x _ matrix, y _ vector, classifier, parameters ) : numpy. set _ printoptions ( suppress = true ) self. total _ iterations = 1 for values in parameters. values ( ) : self. total _ iterations = self. total _ iterations * len ( values ) print ('recursive class : { } '. format ( self. total _ iterations ... | [
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def initialize _ game ( n, m, left ) : for i in range ( n ) : left. append ('t') for i in range ( m ) : left. append ('p') print " initial creatures list : ", left _ side | [
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def _ _ graph _ settings ( self ) : if not self. graph _ settings _ top _ level _ window or not tk. toplevel. winfo _ exists ( self. graph _ settings _ top _ level _ window ) : self. c _ logger. info ( " starting to configure the graph " ) self. graph _ settings _ top _ level _ window = tk. toplevel ( self. main _ wind... | [
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def embedding _ ( self, val ) : raise attributeerror ( \ " attribute'embedding _'of tsne is not writable " ) | [
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def freezedicts ( obj ) : if isinstance ( obj, ( list, tuple ) ) : return type ( obj ) ( [ freezedicts ( sub ) for sub in obj ] ) if isinstance ( obj, dict ) : return frozenset ( six. iteritems ( obj ) ) return obj | [
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def _ _ init _ _ ( self, * args ) : _ topods. topods _ shell _ swiginit ( self, _ topods. new _ topods _ shell ( * args ) ) | [
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def do _ select ( self, node _ id, * * kwargs ) : _ table = kwargs ['table'] if _ table = ='general': _ entity = self. dtm _ hardware. do _ select ( node _ id ) elif _ table = ='electrical _ design': _ entity = self. dtm _ design _ electric. do _ select ( node _ id ) elif _ table = ='mechanical _ design': _ entity = se... | [
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def computevaluefromqvalues ( self, state ) : " * * * your code here * * * " # print ( state ) def largest ( array, n ) : larg = array [ 0 ] # initialial value i = 1 # compare every element with while i < n : if array [ i ] > larg : larg = array [ i ] # current max i = i + 1 return larg qvalue = [ ] sets = self. getleg... | [
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def inconsistency _ degree ( knowledge _ base _ wc, clause ) : assert isinstance ( knowledge _ base _ wc, weightedknowledgebase ) r = 0 # just an initialisation l = 0 u = len ( knowledge _ base _ wc ) while l < u : r = ( l + u ) / / 2 # integer division print ('u = ', u,'l = ', l,'r = ', r ) union = [ list ( x ) for x ... | [
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def convert _ cv _ qt ( self, cv _ img ) : rgb _ image = cv2. cvtcolor ( cv _ img, cv2. color _ bgr2rgb ) h, w, ch = rgb _ image. shape bytes _ per _ line = ch * w convert _ to _ qt _ format = qtgui. qimage ( rgb _ image. data, w, h, bytes _ per _ line, qtgui. qimage. format _ rgb888 ) p = convert _ to _ qt _ format. s... | [
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def timeslot ( self ) : return self. start _ time. time _ of _ day | [
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def curl _ of _ curl ( self, fz, gtype ='tri ', btype = 2 ) : # vector laplacians can only be computed for assert ( self. make _ all _ operators ), " this mesh hasn't computed auxillary operators to calculate vor grad " if gtype = ='tri': # for the curl of curl, the initial fz is defined on the opposite points to the m... | [
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def _ _ port _ increment ( self ) : if self. _ _ ui _ update : value = self. _ _ default _ port for output in self. selected _ outputs : output. ui. port = value value + = 1 self. _ _ ui _ update = false self. _ _ port _ slider. set _ value ( self. output. ui. port, self. output. ui. port - self. _ _ default _ port ) s... | [
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def randomized _ range _ finder ( a, size, n _ iter, power _ iteration _ normalizer = " auto ", random _ state = none ) : random _ state = check _ random _ state ( random _ state ) # generating normal random vectors with shape : ( a. shape [ 1 ], size ) q = random _ state. normal ( size = ( a. shape [ 1 ], size ) ) if ... | [
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def add _ command _ line _ arguments ( self ) : command _ line _ args _ list = get _ command _ line _ arguments ( ) # remove the first positional ini - file argument command _ line _ args _ list = command _ line _ args _ list [ 1 : ] self. argument _ list + = command _ line _ args _ list | [
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def run _ entropy ( self ) : try : mol = molecule. load _ structure ( self. box1. get ( ) ) except : showinfo ('notification ','file not found in the folder, downloading it from the pdb.') # for file availability try : try : molecule. download _ structure ( self. box1. get ( ). split ( '.') [ 0 ], ftype = self. box1. g... | [
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def test _ service _ support ( self ) : self. asserttrue ( self. service _ class. supports _ repositories ) self. asserttrue ( self. service _ class. supports _ post _ commit ) self. assertfalse ( self. service _ class. supports _ bug _ trackers ) self. assertfalse ( self. service _ class. supports _ ssh _ key _ associ... | [
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def process _ content ( self, section ) : raise notimplemented | [
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def _ load _ default _ tests ( self ) : df _ log = self. log ['default _ tests'] for model _ path in self. project. config. models : # checking model functions without design tf _ name ='model _ { } '. format ( model _ path ) log = df _ log. create _ child ( tf _ name ) kwargs = dict ( log = log, model _ path = model _... | [
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def unpacker ( * args, * * kwargs ) : return msgpack. unpacker ( * args, ext _ hook = _ decode _ ext _ type, raw = false, * * kwargs ) | [
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def smith _ score ( data, numwin = 1, ) : data = np. atleast _ 2d ( data ) sums = data. sum ( axis = 0 ) cnum = data. shape [ 1 ] in _ smith = np. zeros ( cnum, dtype = bool ) m = condcalcs. pairwise _ scored _ matrix ( data ) smith = condcalcs. smith _ set ( vm = m ) smith = list ( smith ) in _ smith [ smith ] = true ... | [
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def calculations ( self ) : return { k : v for k, v in self. fields. items ( ) if v. calculation is not none } | [
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def without _ tl ( self ) : return self. ci _ field [ 0 ] in ( 0x69, 0x70, 0x78, 0x79 ) | [
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def base36encode ( number ) : alphabet = " 0123456789abcdefghijklmnopqrstuvwxyz " base36 ='' sign ='' if number < 0 : sign ='-'number = - number if 0 < = number < len ( alphabet ) : return sign + alphabet [ number ] while number! = 0 : number, i = divmod ( number, len ( alphabet ) ) base36 = alphabet [ i ] + base36 ret... | [
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def mean ( vec, wt = none ) : if wt is not none : validate _ input ( len ( vec ) = = len ( wt ), " vec and wt must have the same length " ) validate _ input ( all ( isinstance ( x, ( int, float, long ) ) for x in wt ), " wt must be numeric " ) indexes = [ i for i, val in enumerate ( vec ) if val is not none ] vec = [ v... | [
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def _ nsec _ to _ usec _ round ( nsec : int ) - > int : return ( nsec + 500 ) / / 10 * * 3 | [
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def get _ most _ common _ words ( fdist, count ) : return fdist. most _ common ( count ) | [
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def randomstring ( stringlength ) : letters = string. ascii _ letters return''. join ( random. choice ( letters ) for i in range ( stringlength ) ) | [
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def url ( self, page = 1 ) : return config. url +'search?'+'& '. join ( [ key +'='+ str ( value ) for key, value in {'term': urllib. quote _ plus ( self. _ buildstring ( ) ),'pageidx': page,'pagesize': self. pagesize,'format':'json'if self. mode = ='object'else self. mode }. iteritems ( ) ] ) | [
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def bypass _ deepcoaddid _ bits ( self, * args, * * kwargs ) : return 64 - ztfmapper. _ nbit _ id | [
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def transforms _ tensorflowscorer ( model _ location, input _ columns, data, output _ columns, output _ data = none, model = none, * * params ) : entrypoint _ name ='transforms. tensorflowscorer'inputs = { } outputs = { } if model _ location is not none : inputs ['model'] = try _ set ( obj = model _ location, none _ ac... | [
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def get _ column _ symbols ( self ) : column _ defs = self. column _ map. _ _ dict _ _ nd = column _ defs. copy ( ) ns = data _ algebra. env. simplenamespacedict ( * * nd ) return ns | [
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def test _ stat _ nodata ( self ) : self. assertequal ( jc. parsers. stat. parse ('', quiet = true ), [ ] ) | [
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def get _ region _ zone ( self, region, zone ) : try : # connect to api endpoint for regions path = ( " / v1 / regions / { } / zones / { }? version = { } & generation = { } ". format ( region, zone, self. cfg [ " version " ], self. cfg [ " generation " ] ) ) # return data return qw ( " iaas ", " get ", path, headers ( ... | [
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def about ( ) : return render _ template ('about. html ', login _ session = login _ session ) | [
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async def test _ verify _ signatures ( image _ config : imageconfig ) : # unsigned configurations should explicitly raise an exception. with pytest. raises ( nosignatureerror ) as exception : await image _ config. verify _ signatures ( ) assert str ( exception. value ) = = " image does not contain any signatures! " # s... | [
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def _ fetchmultiplequeues ( cls, queues, multiple, rpc = none ) : def resulthook ( rpc ) : " " " processes the taskqueuefetchqueuestatsresponse. " " " try : rpc. check _ success ( ) except apiproxy _ errors. applicationerror as e : raise _ translateerror ( e. application _ error, e. error _ detail ) assert len ( queues... | [
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def correlation _ to _ distance ( correlations ) : return np. sqrt ( 2 * ( 1 - correlations ) ) | [
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def convert _ global _ to _ internal ( self, pt ) : xval = pt - self. center #'cartesian'coordinates, rescaled to principal axes of ellipse x0 = np. dot ( xval, self. _ eigenvectors [ 0 ] ) * np. sqrt ( self. _ eigenvalues [ 0 ] ) x1 = np. dot ( xval, self. _ eigenvectors [ 1 ] ) * np. sqrt ( self. _ eigenvalues [ 1 ] ... | [
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def exclude _ file _ with _ extensions ( self, exclude _ file _ with _ extensions ) : self. _ exclude _ file _ with _ extensions = exclude _ file _ with _ extensions | [
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def test _ subscription _ api _ with _ wrong _ method _ type ( self ) : response = self. client. put ( self. end _ point, http _ authorization = " bearer { } ". format ( self. token ) ) self. assertequals ( response. status _ code, 405 ) | [
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def add _ derived _ field ( self, name, function, units = none, description = none, vector _ field = false, force _ add = true ) : if name in self. field _ info : if force _ add : ftype = self. field _ info [ name ]. get ( " type ", " on - disk " ) if ftype in [ " alias ", " derived " ] : fl = self. derived _ field _ l... | [
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def configlevelsettings ( self, config _ file ) : if ( not self. configloadflag ) : self. config = self. appconfigobj. getconfig ( self. config _ dir, config _ file ) self. configloadflag = true if ( not self. arebasickeysavailableinconfig ( self. config ) ) : return try : self. config _ channels = set ( self. config [... | [
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def _ does _ quack ( explanation ) : if not hasattr ( explanation, explainparams. method ) or not isinstance ( explanation. method, str ) : return false if not hasattr ( explanation, explainparams. id ) or not isinstance ( explanation. id, str ) : return false if not hasattr ( explanation, explainparams. model _ task )... | [
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def get _ run _ idx ( cake _ list, start _ idx ) : start _ char = cake _ list [ start _ idx ] end _ idx = start _ idx + 1 while cake _ list [ end _ idx ] = = start _ char : end _ idx + = 1 return end _ idx | [
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def test _ get _ snapshot _ deps ( self ) : pass | [
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def _ _ init _ _ ( self, strategy _ type = none, price _ type = none, price = none, rule = none, expiration = none, local _ vars _ configuration = none ) : # noqa : e501 # type : ( int, int, str, int, int, configuration ) - > none # noqa : e501 if local _ vars _ configuration is none : local _ vars _ configuration = co... | [
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def sparse _ to _ tuple ( sparse _ mx ) : def to _ tuple ( mx ) : if not sp. isspmatrix _ coo ( mx ) : mx = mx. tocoo ( ) coords = np. vstack ( ( mx. row, mx. col ) ). transpose ( ) values = mx. data shape = mx. shape return coords, values, shape if isinstance ( sparse _ mx, list ) : for i in range ( len ( sparse _ mx ... | [
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def wells _ per _ cell _ line ( cell _ lines, exclude _ outer ) : if len ( cell _ lines ) < = 1 : avail _ wells = len ( define _ treatment _ wells ( exclude _ outer = exclude _ outer ) ) avail _ wells _ per _ line = avail _ wells if len ( cell _ lines ) > 1 : avail _ wells = len ( define _ treatment _ wells ( exclude _... | [
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def load _ state _ dict ( self, state _ dict : dict ) - > none : raise notimplementederror | [
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def get _ 2d _ array ( rng, n _ rows = 256, n _ columns = 0, scale _ by _ norm = true, normalize _ data = false, epsilon = 0. 0001 ) : n _ full _ blocks = int ( n _ rows / n _ columns ) block _ list = [ ] rng _ key = rng for _ in range ( n _ full _ blocks ) : rng, rng _ input = random. split ( rng ) unstructured _ bloc... | [
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def convcausalattention ( d _ feature, n _ heads = 1, sparsity = none, dropout = 0. 0, max _ inference _ length = 2048, kernel _ size = 1, mode ='train') : n _ modules = n _ heads if sparsity is none else sparsity @ assert _ shape ( '... a - >... b') def processinglayer ( ) : assert d _ feature % n _ modules = = 0 retu... | [
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def has _ item ( self, state ) : return state in self. set | [
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def monte _ carlo _ predict ( self, image ) : h, w = image. shape [ - 2 : ] cluster = cluster ( n _ sigma = 2, h = h, w = w, device = self. device ) self. enable _ eval _ dropout ( ) # get monte carlo model samples mc _ outputs = [ ] mc _ seed _ maps = [ ] for i in range ( self. n _ samples ) : output = self. seg _ mod... | [
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def _ _ check _ if _ input _ file _ exists ( self ) : if os. path. exists ( self. file _ to _ archive ) : return true else : return false | [
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def age _ back _ transform ( trans _ age, adult _ age = 20 ) : age = np. where ( trans _ age < 0, ( 1 + adult _ age ) * np. exp ( trans _ age ) - 1, ( 1 + adult _ age ) * trans _ age + adult _ age ) return age | [
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def email _ user ( self, subject, message, from _ email = none, * * kwargs ) : send _ mail ( subject, message, from _ email, [ self. email ], * * kwargs ) | [
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def slope ( self, other ) : x1, y1, x2, y2 = self. x, self. y, other. x, other. y y3 = y1 - y2 x3 = x1 - x2 return ( y3 * self. inverse ( x3 ) ) % self. p | [
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def test _ is _ completed _ when _ completed ( self ) : completed _ project = project ( is _ completed = true ) self. assertequal ( completed _ project. was _ completed ( ), true, " is _ completed was just a suggestion, right? " ) | [
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def delete ( org _ id, business _ identifier ) : request _ json = request. get _ json ( silent = true ) or { } email _ addresses = request _ json. get ('passcoderesetemail') reset _ passcode = request _ json. get ('resetpasscode ', false ) log _ delete _ draft = request _ json. get ('logdeletedraft ', false ) try : aff... | [
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def trafficloadend ( self ) : if self. force _ auto _ sync : self. get ('trafficloadend') return self. _ trafficloadend | [
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def hess _ electron _ spectrum ( energy, electron _ normalisation = 1. 049e - 4, electron _ decorrelation _ energy = 1, electron _ index1 = 3. 04, electron _ index2 = 3. 78, electron _ break _ energy = 0. 94, electron _ break _ sharpness = 0. 12, * * kwargs ) : # provide hess electron spectrum in units gev ^ - 1 cm ^ -... | [
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def _ handle _ child _ update ( hass : homeassistant, gateway _ id : gatewayid, validated : dict [ platform, list [ devid ] ] ) - > none : signals : list [ str ] = [ ] # update all platforms for the device via dispatcher. # add / update entity for validated children. for platform, dev _ ids in validated. items ( ) : de... | [
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def do _ migration ( self ) : pass | [
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def sample _ from _ list ( list _, rng _ state = none ) : if rng _ state : return rng _ state. choice ( list _, 1 ) [ 0 ] else : return np. random. choice ( list _, 1 ) [ 0 ] | [
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def start _ stream ( self, callback : t. callable [ [ inferresult, inferenceserverexception ], none ], stream _ timeout : float =..., headers : dict [ str, t. any ] =..., compression _ algorithm : str =..., ) - > none : | [
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def gray2bgr ( im : np. ndarray ) - > np. ndarray : return cv. cvtcolor ( im, cv. color _ gray2bgr ) | [
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def last _ seen _ name ( self ) - > str : return core. bngetlastseenvariablenameordefault ( self. _ function. handle, self. to _ bnvariable ( ) ) | [
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def update _ version ( self, version : str, confidence _ level : str = " 3 " ) : self. version = version self. confidence _ level = confidence _ level self. query _ panel _ data ( ) | [
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def test _ basic _ style _ problem ( gitrepo ) : # create file'a'file _ a = util. write _ file ( gitrepo,'a. java ','' ) assert githooks. precommit _ hook ( util. install _ path ( ) ) # add'a'util. cmd ( gitrepo,'git add'+ file _ a ) assert not githooks. precommit _ hook ( util. install _ path ( ) ) # commit'a'util. cm... | [
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def transfer _ s3 ( source, * * kwargs ) : s3 = boto3. resource ('s3') dest = get _ destination _ s3 ( * * kwargs ['get _ destination _ s3'] ) dest _ bucket = dest ['bucket'] dest _ key = dest ['key'] # transfer data from one s3 bucket to another try : s3. meta. client. copy ( source, dest _ bucket, dest _ key ) except... | [
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def output ( doc ) : pairs = doc. duncan _ pairs # find duplicates heurs = defaultdict ( list ) for i in range ( 0, len ( pairs ) ) : curr = pairs [ i ] byte = ( curr [ 0 ]. getstart ( ), curr [ 0 ]. getend ( ), curr [ 1 ]. getstart ( ), curr [ 1 ]. getend ( ) ) h = curr [ 2 ] if h not in heurs. get ( byte, [ ] ) : heu... | [
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def simple ( mode ) : # parse the symbolic mode parsed = re. match ('(? p < who > [ ugoa ] + ) (? p < op > [ - + = ] ) (? p < what > [ rwx ] * ) $ ', mode ) if not parsed : raise valueerror ( " unrecognized symbolic mode ", mode ) # generate a mask representing the specified permission spec _ map = dict ( r = 4, w = 2,... | [
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def topological _ sort ( graph ) : return kahns _ algo ( graph ) | [
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def task _ print _ user _ data ( ) : # print user's defined data _ logger. info ( " print user's defined data " ) rsvis. utils. format. print _ data ( rsvis. config. settings. get _ data _ dict ( ) ) | [
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def get _ sentiment _ of _ review ( review ) : # encoding reviews # new _ rev = review. encode ('utf - 8') new _ rev = review # for i in reviews : # i. encode ('utf - 8') # new _ rev + = i # getting the sentiment results # from the analyzer module nlp = stanfordnlp ( ) results = nlp. parse ( new _ rev ) result = result... | [
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def stopflashfade ( self ) : self. flashfading = false self. fadein ( ) | [
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def parse ( cls, input _ str ) - > sgfnode : return cls ( input _ str ). root | [
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def get _ user _ requests ( user _ id ) : cur. execute ( " select * from requests where user _ id = % s ; ", [ user _ id ] ) requests = cur. fetchall ( ) all _ requests = [ ] for request in requests : requests _ labeled = {'request _ id': request [ 0 ],'title': request [ 1 ],'description': request [ 2 ],'type': request... | [
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def create _ blank _ im ( w : int, h : int, c : int = 3, dtype = np. uint8 ) - > np. ndarray : dim = [ h, w ] if c = = 1 else [ h, w, c ] return np. zeros ( dim, dtype = np. uint8 ) | [
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def flatten _ interfaces ( dat, c ) : def get _ ifaces ( cl ) : for i2 in cl. implements : yield dat. interfaces [ i2 ] yield from get _ ifaces ( dat. interfaces [ i2 ] ) for cl in flatten _ classes ( dat. classes, c ) : yield from get _ ifaces ( cl ) | [
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def test _ neg _ close ( self ) : config = { " hosts " : [ ( " 127. 0. 0. 1 ", 2000 ) ] } with pytest. raises ( exception ) : self. client = aerospike. client ( config ). connect ( ) with pytest. raises ( attributeerror ) as attributeerror : self. closeobject = self. client. close ( ) assert " has no attribute " in str... | [
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def _ entry _ repr _ full ( entry ) : rep ='% - 3d % - 10s % s \ n % s \ n % s'% ( entry. oid, entry. primary, entry. clue, entry. answer, _ repr _ tags ( entry. tags ) ) rep = sjb. common. misc. indent _ paragraph ( rep, 15 ) return rep # return line1 +'\ n'+ line2 | [
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def _ _ init _ _ ( self, name, callback = none ) : self. _ name = name self. _ items = dict ( ) self. _ callback = callback | [
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def find _ minrun ( n ) : r = 0 if not n > = 0 : raise valueerror ( " array _ size must be > = 0 " ) while n > = 64 : r | = n & 1 n > > = 1 return n + r | [
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def initial _ state ( ) : return [ [ empty, empty, empty ], [ empty, empty, empty ], [ empty, empty, empty ] ] | [
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def _ create _ category _ div ( self, genre ) : background, border, box _ shadow = genre. colors [ genre ] div = self. page _ doc. createelement ('div') div. attributes ['style'] = ('border - style : solid ; border - width : 1px ; color : white ;'' display : inline - block ; font - family : calibri, arial ;'' margin - ... | [
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async def async _ validate _ lock _ or _ error ( local _ name : str, device : bledevice, key : str, slot : int ) - > dict [ str, str ] : if len ( key )! = 32 : return { conf _ key : " invalid _ key _ format " } try : bytes. fromhex ( key ) except valueerror : return { conf _ key : " invalid _ key _ format " } if not is... | [
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def par ( self ) : states = [ " on ", " off " ] original _ par = self. write ( " par ", 15 ) [ 1 : - 4 ] new _ par = states [ not states. index ( original _ par ) ] self. write ( " par " + new _ par ) returned _ par = self. write ( " par ", 15 ) [ 1 : - 4 ] if returned _ par! = new _ par : logging. error ( " % s : set ... | [
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def get _ upsampling _ weight ( in _ channels, out _ channels, kernel _ size ) : factor = ( kernel _ size + 1 ) / / 2 if kernel _ size % 2 = = 1 : center = factor - 1 else : center = factor - 0. 5 og = np. ogrid [ : kernel _ size, : kernel _ size ] filt = ( 1 - abs ( og [ 0 ] - center ) / factor ) * ( 1 - abs ( og [ 1 ... | [
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def spot _ price _ limit ( self ) - > optional [ pulumi. input [ float ] ] : return pulumi. get ( self, " spot _ price _ limit " ) | [
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def set _ player _ name ( self, player _ name ) : self. player _ name = player _ name | [
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def init _ dataset ( self ) : return | [
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def prunesolvers ( self, solver _ scores ) : if len ( solver _ scores ) < self. _ max _ solvers : # print ( " no pruning necessary " ) pass else : # print ( " population : % s \ tmax population : % s \ tneed to kill : % s " % ( len ( self. _ solvers ), self. _ max _ solvers, len ( self. _ solvers ) - self. _ max _ solv... | [
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def extract _ components ( self ) : verbs = set ( ) doc = self. nlp ( self. query ) for entity in doc : if entity. pos _ = = " verb " or entity. pos _ = = " aux " : verbs. add ( entity. lemma _ ) return verbs | [
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def _ createmodel ( self ) : model = sequential ( ) # 3 convolutinal layers model. add ( conv2d ( 32, ( 8, 8 ), strides = ( 4, 4 ), activation ='relu ', input _ shape = ( self. statecnt ), data _ format ='channels _ first') ) model. add ( conv2d ( 64, ( 4, 4 ), strides = ( 2, 2 ), activation ='relu') ) model. add ( con... | [
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def test _ recuperate _ name _ wiki _ page ( ) : result = recuperate _ name _ wiki _ page ( " openclassrooms " ) assert result = = " openclassrooms " | [
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-0.3303912281990051,
-0.14379605650901794,
0.5081177353858948,
-0.3705803155899048,
-0.2254416048526764,
0.20003041625022888,
0.9444071054458618,
-0.7685404419898987,
-0.20949620008468628,
-0.5891972184181213,
-0.13554082810878... |
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