idx int64 0 63k | question stringlengths 53 5.28k | target stringlengths 5 805 |
|---|---|---|
14,200 | def add_0x ( string ) : if isinstance ( string , bytes ) : string = string . decode ( 'utf-8' ) return '0x' + str ( string ) | Add 0x to string at start . |
14,201 | def guess_depth ( packages ) : if len ( packages ) == 1 : return packages [ 0 ] . count ( '.' ) + 2 return min ( p . count ( '.' ) for p in packages ) + 1 | Guess the optimal depth to use for the given list of arguments . |
14,202 | def print ( self , format = TEXT , output = sys . stdout , ** kwargs ) : if format is None : format = TEXT if format == TEXT : print ( self . _to_text ( ** kwargs ) , file = output ) elif format == CSV : print ( self . _to_csv ( ** kwargs ) , file = output ) elif format == JSON : print ( self . _to_json ( ** kwargs ) ,... | Print the object in a file or on standard output by default . |
14,203 | def import_training_data ( self , positive_corpus_file = os . path . join ( os . path . dirname ( __file__ ) , "positive.txt" ) , negative_corpus_file = os . path . join ( os . path . dirname ( __file__ ) , "negative.txt" ) ) : positive_corpus = open ( positive_corpus_file ) negative_corpus = open ( negative_corpus_fil... | This method imports the positive and negative training data from the two corpus files and creates the training data list . |
14,204 | def train ( self ) : if not self . training_data : self . import_training_data ( ) training_feature_set = [ ( self . extract_features ( line ) , label ) for ( line , label ) in self . training_data ] self . classifier = nltk . NaiveBayesClassifier . train ( training_feature_set ) | This method generates the classifier . This method assumes that the training data has been loaded |
14,205 | def extract_features ( self , phrase ) : words = nltk . word_tokenize ( phrase ) features = { } for word in words : features [ 'contains(%s)' % word ] = ( word in words ) return features | This function will extract features from the phrase being used . Currently the feature we are extracting are unigrams of the text corpus . |
14,206 | def is_twss ( self , phrase ) : featureset = self . extract_features ( phrase ) return self . classifier . classify ( featureset ) | The magic function - this accepts a phrase and tells you if it classifies as an entendre |
14,207 | def save ( self , filename = 'classifier.dump' ) : ofile = open ( filename , 'w+' ) pickle . dump ( self . classifier , ofile ) ofile . close ( ) | Pickles the classifier and dumps it into a file |
14,208 | def load ( self , filename = 'classifier.dump' ) : ifile = open ( filename , 'r+' ) self . classifier = pickle . load ( ifile ) ifile . close ( ) | Unpickles the classifier used |
14,209 | def pw ( ctx , key_pattern , user_pattern , mode , strict_flag , user_flag , file , edit_subcommand , gen_subcommand , ) : def handle_sigint ( * _ ) : click . echo ( ) ctx . exit ( 1 ) signal . signal ( signal . SIGINT , handle_sigint ) if gen_subcommand : length = int ( key_pattern ) if key_pattern else None generate_... | Search for USER and KEY in GPG - encrypted password file . |
14,210 | def launch_editor ( ctx , file ) : editor = os . environ . get ( "PW_EDITOR" ) if not editor : click . echo ( "error: no editor set in PW_EDITOR environment variables" ) ctx . exit ( 1 ) if not os . path . exists ( file ) : click . echo ( "error: password store not found at '%s'" % file , err = True ) ctx . exit ( 1 ) ... | launch editor with decrypted password database |
14,211 | def generate_password ( mode , length ) : r = random . SystemRandom ( ) length = length or RANDOM_PASSWORD_DEFAULT_LENGTH password = "" . join ( r . choice ( RANDOM_PASSWORD_ALPHABET ) for _ in range ( length ) ) if mode == Mode . ECHO : click . echo ( style_password ( password ) ) elif mode == Mode . COPY : try : impo... | generate a random password |
14,212 | def _load_data ( self ) : url = urljoin ( self . base_url , 'levels' ) resp = requests . get ( url , headers = self . headers ) if resp . content : return resp . json ( ) else : return None | Internal method for querying the GM api for currently running levels and storing that state . |
14,213 | def dump2sqlite ( records , output_file ) : results_keys = list ( records . results [ 0 ] . keys ( ) ) pad_data = [ ] for key in REQUIRED_KEYS : if key not in results_keys : results_keys . append ( key ) pad_data . append ( "" ) conn = sqlite3 . connect ( os . path . expanduser ( output_file ) , detect_types = sqlite3 ... | Dumps tests results to database . |
14,214 | def fit ( sim_mat , D_len , cidx ) : min_energy = np . inf for j in range ( 3 ) : inds = [ np . argmin ( [ sim_mat [ idy ] . get ( idx , 0 ) for idx in cidx ] ) for idy in range ( D_len ) if idy in sim_mat ] cidx = [ ] energy = 0 for i in np . unique ( inds ) : indsi = np . where ( inds == i ) [ 0 ] minind , min_value ... | Algorithm maximizes energy between clusters which is distinction in this algorithm . Distance matrix contains mostly 0 which are overlooked due to search of maximal distances . Algorithm does not try to retain k clusters . |
14,215 | def _calc_theta ( self ) : if self . decaying_prior : n_sampled = np . clip ( self . alpha_ + self . beta_ , 1 , np . inf ) prior_weight = 1 / n_sampled alpha = self . alpha_ + prior_weight * self . alpha_0 beta = self . beta_ + prior_weight * self . beta_0 else : alpha = self . alpha_ + self . alpha_0 beta = self . be... | Calculate an estimate of theta |
14,216 | def update ( self , ell , k ) : self . alpha_ [ k ] += ell self . beta_ [ k ] += 1 - ell self . _calc_theta ( ) if self . store_variance : self . _calc_var_theta ( ) | Update the posterior and estimates after a label is sampled |
14,217 | def reset ( self ) : self . alpha_ = np . zeros ( self . _size , dtype = int ) self . beta_ = np . zeros ( self . _size , dtype = int ) self . theta_ = np . empty ( self . _size , dtype = float ) if self . store_variance : self . var_theta_ = np . empty ( self . _size , dtype = float ) if self . store_wp : self . theta... | Reset the instance to its initial state |
14,218 | def _calc_BB_prior ( self , theta_0 ) : prior_strength = self . prior_strength n_strata = len ( theta_0 ) weighted_strength = prior_strength / n_strata alpha_0 = theta_0 * weighted_strength beta_0 = ( 1 - theta_0 ) * weighted_strength return alpha_0 , beta_0 | Generate a prior for the BB model |
14,219 | def authenticate ( self , request , remote_user = None ) : if not remote_user : remote_user = request if not remote_user : return None user = None username = self . clean_username ( remote_user ) try : if self . create_unknown_user : defaults = { } if isinstance ( request , dict ) : session_data = request if 'full_name... | The username passed here is considered trusted . This method simply returns the User object with the given username . |
14,220 | def numval ( token ) : if token . type == 'INTEGER' : return int ( token . value ) elif token . type == 'FLOAT' : return float ( token . value ) else : return token . value | Return the numerical value of token . value if it is a number |
14,221 | def tokenize ( code ) : tok_regex = '|' . join ( '(?P<{}>{})' . format ( * pair ) for pair in _tokens ) tok_regex = re . compile ( tok_regex , re . IGNORECASE | re . M ) line_num = 1 line_start = 0 for mo in re . finditer ( tok_regex , code ) : kind = mo . lastgroup value = mo . group ( kind ) if kind == 'NEWLINE' : li... | Tokenize the string code |
14,222 | def parse ( tokens ) : d = collections . OrderedDict ( ) prev_line = 0 blockname = None blockline = None for token in tokens : if token . type == 'COMMENT' : continue elif token . type == 'BLOCK' : block = token blockline = token . line blocktype = token . value . upper ( ) blockname = None if blocktype not in d : d [ ... | Parse the token list into a hierarchical data structure |
14,223 | def load ( stream ) : if isinstance ( stream , str ) : string = stream else : string = stream . read ( ) tokens = tokenize ( string ) return parse ( tokens ) | Parse the LHA document and produce the corresponding Python object . Accepts a string or a file - like object . |
14,224 | def get_checksum ( self ) : arr = [ ] for elem in self . parsed : s = elem_checksum ( elem ) if s : arr . append ( s ) arr . sort ( ) return md5 ( json . dumps ( arr ) ) | Returns a checksum based on the IDL that ignores comments and ordering but detects changes to types parameter order and enum values . |
14,225 | def _update_estimate_and_sampler ( self , ell , ell_hat , weight , extra_info , ** kwargs ) : stratum_idx = extra_info [ 'stratum' ] self . _BB_TP . update ( ell * ell_hat , stratum_idx ) self . _BB_PP . update ( ell_hat , stratum_idx ) self . _BB_P . update ( ell , stratum_idx ) self . _update_cov_model ( strata_to_up... | Update the BB models and the estimates |
14,226 | def get_path ( num ) : num = int ( num ) dig_len = len ( str ( num ) ) paths = [ ] for i in range ( dig_len - 2 ) : divisor = 10 ** ( dig_len - i - 1 ) paths . append ( "{}-{}" . format ( ( num // divisor ) * divisor , ( ( ( num // divisor ) + 1 ) * divisor ) - 1 ) ) return "/" . join ( paths ) | Gets a path from the workitem number . |
14,227 | def get_tree ( self , work_item_id ) : try : __ , tcid = work_item_id . split ( "-" ) except ValueError : logger . warning ( "Couldn't load workitem %s, bad format" , work_item_id ) self . _cache [ work_item_id ] = InvalidObject ( ) return None path = os . path . join ( self . test_case_dir , self . get_path ( tcid ) ,... | Gets XML tree of the workitem . |
14,228 | def get_all_items ( self ) : for item in os . walk ( self . test_case_dir ) : if "workitem.xml" not in item [ 2 ] : continue case_id = os . path . split ( item [ 0 ] ) [ - 1 ] if not ( case_id and "*" not in case_id ) : continue item_cache = self [ case_id ] if not item_cache : continue if not item_cache . get ( "title... | Walks the repo and returns work items . |
14,229 | def _remove_files ( self , directory , pattern ) : for root , dirnames , file_names in os . walk ( directory ) : for file_name in fnmatch . filter ( file_names , pattern ) : os . remove ( os . path . join ( root , file_name ) ) | Removes all files matching the search path |
14,230 | def post ( self , request , * args , ** kwargs ) : serializer = EventSerializer ( data = request . data ) if not serializer . is_valid ( ) : return Response ( { "accepted" : False , "reason" : serializer . errors } , status = 400 ) data = serializer . validated_data event_type = { "ack" : "ack" , "nack" : "nack" , "del... | Checks for expect event types before continuing |
14,231 | def create ( self , group , grouptype ) : try : self . client . add ( self . __distinguished_name ( group ) , API . __object_class ( ) , self . __ldap_attr ( group , grouptype ) ) except ldap3 . core . exceptions . LDAPNoSuchObjectResult : print ( "Error creating LDAP Group.\nRequest: " , self . __ldap_attr ( group , g... | Create an LDAP Group . |
14,232 | def add_user ( self , group , username ) : try : self . lookup_id ( group ) except ldap_tools . exceptions . InvalidResult as err : raise err from None operation = { 'memberUid' : [ ( ldap3 . MODIFY_ADD , [ username ] ) ] } self . client . modify ( self . __distinguished_name ( group ) , operation ) | Add a user to the specified LDAP group . |
14,233 | def remove_user ( self , group , username ) : try : self . lookup_id ( group ) except ldap_tools . exceptions . InvalidResult as err : raise err from None operation = { 'memberUid' : [ ( ldap3 . MODIFY_DELETE , [ username ] ) ] } self . client . modify ( self . __distinguished_name ( group ) , operation ) | Remove a user from the specified LDAP group . |
14,234 | def lookup_id ( self , group ) : filter = [ "(cn={})" . format ( group ) , "(objectclass=posixGroup)" ] results = self . client . search ( filter , [ 'gidNumber' ] ) if len ( results ) < 1 : raise ldap_tools . exceptions . NoGroupsFound ( 'No Groups Returned by LDAP' ) elif len ( results ) > 1 : raise ldap_tools . exce... | Lookup GID for the given group . |
14,235 | def create ( config , group , type ) : if type not in ( 'user' , 'service' ) : raise click . BadOptionUsage ( "--grouptype must be 'user' or 'service'" ) client = Client ( ) client . prepare_connection ( ) group_api = API ( client ) group_api . create ( group , type ) | Create an LDAP group . |
14,236 | def delete ( config , group , force ) : if not force : if not click . confirm ( 'Confirm that you want to delete group {}' . format ( group ) ) : sys . exit ( "Deletion of {} aborted" . format ( group ) ) client = Client ( ) client . prepare_connection ( ) group_api = API ( client ) group_api . delete ( group ) | Delete an LDAP group . |
14,237 | def add_user ( config , group , username ) : client = Client ( ) client . prepare_connection ( ) group_api = API ( client ) try : group_api . add_user ( group , username ) except ldap_tools . exceptions . NoGroupsFound : print ( "Group ({}) not found" . format ( group ) ) except ldap_tools . exceptions . TooManyResults... | Add specified user to specified group . |
14,238 | def remove_user ( config , group , username ) : client = Client ( ) client . prepare_connection ( ) group_api = API ( client ) try : group_api . remove_user ( group , username ) except ldap_tools . exceptions . NoGroupsFound : print ( "Group ({}) not found" . format ( group ) ) except ldap_tools . exceptions . TooManyR... | Remove specified user from specified group . |
14,239 | def index ( config ) : client = Client ( ) client . prepare_connection ( ) group_api = API ( client ) print ( group_api . index ( ) ) | Display group info in raw format . |
14,240 | def _get_importer ( input_file ) : __ , ext = os . path . splitext ( input_file ) ext = ext . lower ( ) if "ostriz" in input_file : from dump2polarion . results import ostriztools importer = ostriztools . import_ostriz elif ext == ".xml" : from dump2polarion . results import junittools importer = junittools . import_ju... | Selects importer based on input file type . |
14,241 | def parse_db_url ( db_url ) : u = urlparse ( db_url ) db = { } db [ "database" ] = u . path [ 1 : ] db [ "user" ] = u . username db [ "password" ] = u . password db [ "host" ] = u . hostname db [ "port" ] = u . port return db | provided a db url return a dict with connection properties |
14,242 | def bounds_handler ( ctx , param , value ) : retval = from_like_context ( ctx , param , value ) if retval is None and value is not None : try : value = value . strip ( ", []" ) retval = tuple ( float ( x ) for x in re . split ( r"[,\s]+" , value ) ) assert len ( retval ) == 4 return retval except Exception : raise clic... | Handle different forms of bounds . |
14,243 | def info ( dataset , indent , meta_member ) : table = bcdata . validate_name ( dataset ) wfs = WebFeatureService ( url = bcdata . OWS_URL , version = "2.0.0" ) info = { } info [ "name" ] = table info [ "count" ] = bcdata . get_count ( table ) info [ "schema" ] = wfs . get_schema ( "pub:" + table ) if meta_member : clic... | Print basic metadata about a DataBC WFS layer as JSON . |
14,244 | def dem ( bounds , src_crs , dst_crs , out_file , resolution ) : if not dst_crs : dst_crs = "EPSG:3005" bcdata . get_dem ( bounds , out_file = out_file , src_crs = src_crs , dst_crs = dst_crs , resolution = resolution ) | Dump BC DEM to TIFF |
14,245 | def dump ( dataset , query , out_file , bounds ) : table = bcdata . validate_name ( dataset ) data = bcdata . get_data ( table , query = query , bounds = bounds ) if out_file : with open ( out_file , "w" ) as f : json . dump ( data . json ( ) , f ) else : sink = click . get_text_stream ( "stdout" ) sink . write ( json ... | Write DataBC features to stdout as GeoJSON feature collection . |
14,246 | def cat ( dataset , query , bounds , indent , compact , dst_crs , pagesize , sortby ) : dump_kwds = { "sort_keys" : True } if indent : dump_kwds [ "indent" ] = indent if compact : dump_kwds [ "separators" ] = ( "," , ":" ) table = bcdata . validate_name ( dataset ) for feat in bcdata . get_features ( table , query = qu... | Write DataBC features to stdout as GeoJSON feature objects . |
14,247 | def bc2pg ( dataset , db_url , table , schema , query , append , pagesize , sortby , max_workers ) : src = bcdata . validate_name ( dataset ) src_schema , src_table = [ i . lower ( ) for i in src . split ( "." ) ] if not schema : schema = src_schema if not table : table = src_table conn = pgdata . connect ( db_url ) if... | Download a DataBC WFS layer to postgres - an ogr2ogr wrapper . |
14,248 | def __parseFormat ( self , fmt , content , fps = 25 ) : headerFound = False subSection = '' for lineNo , line in enumerate ( content ) : line = self . _initialLinePrepare ( line , lineNo ) if not fmt . WITH_HEADER and not self . _formatFound and lineNo > self . _maxFmtSearch : return subSection = '' . join ( [ subSecti... | Actual parser . Please note that time_to is not required to process as not all subtitles provide it . |
14,249 | def get_args ( args = None ) : parser = argparse . ArgumentParser ( description = "dump2polarion" ) parser . add_argument ( "-i" , "--input_file" , required = True , help = "Path to CSV, SQLite or JUnit reports file or importers XML file" , ) parser . add_argument ( "-o" , "--output_file" , help = "Where to save the XM... | Get command line arguments . |
14,250 | def get_submit_args ( args ) : submit_args = dict ( testrun_id = args . testrun_id , user = args . user , password = args . password , no_verify = args . no_verify , verify_timeout = args . verify_timeout , log_file = args . job_log , dry_run = args . dry_run , ) submit_args = { k : v for k , v in submit_args . items (... | Gets arguments for the submit_and_verify method . |
14,251 | def process_args ( args ) : passed_args = args if isinstance ( args , argparse . Namespace ) : passed_args = vars ( passed_args ) elif hasattr ( args , "to_dict" ) : passed_args = passed_args . to_dict ( ) return Box ( passed_args , frozen_box = True , default_box = True ) | Processes passed arguments . |
14,252 | def submit_if_ready ( args , submit_args , config ) : __ , ext = os . path . splitext ( args . input_file ) if ext . lower ( ) != ".xml" : return None with io . open ( args . input_file , encoding = "utf-8" ) as input_file : xml = input_file . read ( 1024 ) if not ( "<testsuites" in xml or "<testcases" in xml or "<requ... | Submits the input XML file if it s already in the expected format . |
14,253 | def dumper ( args , config , transform_func = None ) : args = process_args ( args ) submit_args = get_submit_args ( args ) submit_outcome = submit_if_ready ( args , submit_args , config ) if submit_outcome is not None : return submit_outcome import_time = datetime . datetime . utcnow ( ) try : records = dump2polarion .... | Dumper main function . |
14,254 | def load_ldap_config ( self ) : try : with open ( '{}/ldap_info.yaml' . format ( self . config_dir ) , 'r' ) as FILE : config = yaml . load ( FILE ) self . host = config [ 'server' ] self . user_dn = config [ 'user_dn' ] self . port = config [ 'port' ] self . basedn = config [ 'basedn' ] self . mail_domain = config [ '... | Configure LDAP Client settings . |
14,255 | def load_ldap_password ( self ) : with open ( '{}/ldap.secret' . format ( self . config_dir ) , 'r' ) as FILE : secure_config = FILE . read ( ) self . user_pw = base64 . b64decode ( secure_config . encode ( ) ) | Import LDAP password from file . |
14,256 | def connection ( self ) : self . server = ldap3 . Server ( self . host , port = self . port , get_info = ldap3 . ALL ) self . conn = ldap3 . Connection ( self . server , user = self . user_dn , password = self . user_pw , auto_bind = True , lazy = True , receive_timeout = 1 ) | Establish LDAP connection . |
14,257 | def add ( self , distinguished_name , object_class , attributes ) : self . conn . add ( distinguished_name , object_class , attributes ) | Add object to LDAP . |
14,258 | def search ( self , filter , attributes = None ) : if attributes is None : attributes = [ '*' ] if filter is None : filter = [ "(objectclass=*)" ] filterstr = "(&{})" . format ( '' . join ( filter ) ) self . conn . search ( search_base = self . basedn , search_filter = filterstr , search_scope = ldap3 . SUBTREE , attri... | Search LDAP for records . |
14,259 | def get_max_id ( self , object_type , role ) : if object_type == 'user' : objectclass = 'posixAccount' ldap_attr = 'uidNumber' elif object_type == 'group' : objectclass = 'posixGroup' ldap_attr = 'gidNumber' else : raise ldap_tools . exceptions . InvalidResult ( 'Unknown object type' ) minID , maxID = Client . __set_id... | Get the highest used ID . |
14,260 | def get_dem ( bounds , out_file = "dem.tif" , src_crs = "EPSG:3005" , dst_crs = "EPSG:3005" , resolution = 25 ) : bbox = "," . join ( [ str ( b ) for b in bounds ] ) payload = { "service" : "WCS" , "version" : "1.0.0" , "request" : "GetCoverage" , "coverage" : "pub:bc_elevation_25m_bcalb" , "Format" : "GeoTIFF" , "bbox... | Get 25m DEM for provided bounds write to GeoTIFF |
14,261 | def main ( ) : entry_point . add_command ( CLI . version ) entry_point . add_command ( UserCLI . user ) entry_point . add_command ( GroupCLI . group ) entry_point . add_command ( AuditCLI . audit ) entry_point . add_command ( KeyCLI . key ) entry_point ( ) | Enter main function . |
14,262 | def print_args ( output = sys . stdout ) : def decorator ( func ) : @ wraps ( func ) def _ ( * args , ** kwargs ) : output . write ( "Args: {0}, KwArgs: {1}\n" . format ( str ( args ) , str ( kwargs ) ) ) return func ( * args , ** kwargs ) return _ return decorator | Decorate a function so that print arguments before calling it . |
14,263 | def constant ( func ) : @ wraps ( func ) def _ ( * args , ** kwargs ) : if not _ . res : _ . res = func ( * args , ** kwargs ) return _ . res _ . res = None return _ | Decorate a function so that the result is a constant value . |
14,264 | def memoized ( func ) : cache = { } @ wraps ( func ) def memoized_function ( * args ) : try : return cache [ args ] except KeyError : value = func ( * args ) try : cache [ args ] = value except MemoryError : cache . clear ( ) gc . collect ( ) return value return memoized_function | Decorate a function to memoize results . |
14,265 | def _open_sqlite ( db_file ) : db_file = os . path . expanduser ( db_file ) try : with open ( db_file ) : pass return sqlite3 . connect ( db_file , detect_types = sqlite3 . PARSE_DECLTYPES ) except ( IOError , sqlite3 . Error ) as err : raise Dump2PolarionException ( "{}" . format ( err ) ) | Opens database connection . |
14,266 | def import_sqlite ( db_file , older_than = None , ** kwargs ) : conn = _open_sqlite ( db_file ) cur = conn . cursor ( ) select = "SELECT * FROM testcases WHERE exported != 'yes'" if older_than : cur . execute ( " " . join ( ( select , "AND sqltime < ?" ) ) , ( older_than , ) ) else : cur . execute ( select ) columns = ... | Reads the content of the database file and returns imported data . |
14,267 | def mark_exported_sqlite ( db_file , older_than = None ) : logger . debug ( "Marking rows in database as exported" ) conn = _open_sqlite ( db_file ) cur = conn . cursor ( ) update = "UPDATE testcases SET exported = 'yes' WHERE verdict IS NOT null AND verdict != ''" if older_than : cur . execute ( " " . join ( ( update ... | Marks rows with verdict as exported . |
14,268 | def createSubtitle ( self , fps , section ) : matched = self . _pattern . search ( section ) if matched is not None : matchedDict = matched . groupdict ( ) return Subtitle ( self . frametime ( fps , matchedDict . get ( "time_from" ) ) , self . frametime ( fps , matchedDict . get ( "time_to" ) ) , self . formatSub ( mat... | Returns a correct Subtitle object from a text given in section . If section cannot be parsed None is returned . By default section is checked against subPattern regular expression . |
14,269 | def convertTime ( self , frametime , which ) : SubAssert ( frametime . frame >= 0 , _ ( "Negative time present." ) ) return frametime . frame | Convert FrameTime object to properly formatted string that describes subtitle start or end time . |
14,270 | def _set_location ( instance , location ) : location = str ( location ) if not location . startswith ( '/' ) : location = urljoin ( instance . request_path . rstrip ( '/' ) + '/' , location ) instance . response . location = location | Sets a Location response header . If the location does not start with a slash the path of the current request is prepended . |
14,271 | def no_cache ( asset_url ) : pos = asset_url . rfind ( '?' ) if pos > 0 : asset_url = asset_url [ : pos ] return asset_url | Removes query parameters |
14,272 | def __ngrams ( s , n = 3 ) : return list ( zip ( * [ s [ i : ] for i in range ( n ) ] ) ) | Raw n - grams from a sequence |
14,273 | def word_ngrams ( s , n = 3 , token_fn = tokens . on_whitespace ) : tokens = token_fn ( s ) return __ngrams ( tokens , n = min ( len ( tokens ) , n ) ) | Word - level n - grams in a string |
14,274 | def char_ngrams ( s , n = 3 , token_fn = tokens . on_whitespace ) : tokens = token_fn ( s ) ngram_tuples = [ __ngrams ( t , n = min ( len ( t ) , n ) ) for t in tokens ] def unpack ( l ) : return sum ( l , [ ] ) def untuple ( l ) : return [ '' . join ( t ) for t in l ] return untuple ( unpack ( ngram_tuples ) ) | Character - level n - grams from within the words in a string . |
14,275 | def __matches ( s1 , s2 , ngrams_fn , n = 3 ) : ngrams1 , ngrams2 = set ( ngrams_fn ( s1 , n = n ) ) , set ( ngrams_fn ( s2 , n = n ) ) return ngrams1 . intersection ( ngrams2 ) | Returns the n - grams that match between two sequences |
14,276 | def char_matches ( s1 , s2 , n = 3 ) : return __matches ( s1 , s2 , char_ngrams , n = n ) | Character - level n - grams that match between two strings |
14,277 | def word_matches ( s1 , s2 , n = 3 ) : return __matches ( s1 , s2 , word_ngrams , n = n ) | Word - level n - grams that match between two strings |
14,278 | def __similarity ( s1 , s2 , ngrams_fn , n = 3 ) : ngrams1 , ngrams2 = set ( ngrams_fn ( s1 , n = n ) ) , set ( ngrams_fn ( s2 , n = n ) ) matches = ngrams1 . intersection ( ngrams2 ) return 2 * len ( matches ) / ( len ( ngrams1 ) + len ( ngrams2 ) ) | The fraction of n - grams matching between two sequences |
14,279 | def _get_json ( self , model , space = None , rel_path = None , extra_params = None , get_all = None ) : if space is None and model not in ( Space , Event ) : raise Exception ( 'In general, `API._get_json` should always ' 'be called with a `space` argument.' ) if not extra_params : extra_params = { } extra_params [ 'pa... | Base level method for fetching data from the API |
14,280 | def _post_json ( self , instance , space = None , rel_path = None , extra_params = None ) : model = type ( instance ) if space is None and model not in ( Space , Event ) : raise Exception ( 'In general, `API._post_json` should always ' 'be called with a `space` argument.' ) if 'number' in instance . data : raise Attrib... | Base level method for updating data via the API |
14,281 | def _put_json ( self , instance , space = None , rel_path = None , extra_params = None , id_field = None ) : model = type ( instance ) if space is None and model not in ( Space , Event ) : raise Exception ( 'In general, `API._put_json` should always ' 'be called with a `space` argument.' ) if not extra_params : extra_p... | Base level method for adding new data to the API |
14,282 | def _delete_json ( self , instance , space = None , rel_path = None , extra_params = None , id_field = None , append_to_path = None ) : model = type ( instance ) if space is None and model not in ( Space , Event ) : raise Exception ( 'In general, `API._delete_json` should always ' 'be called with a `space` argument.' )... | Base level method for removing data from the API |
14,283 | def _bind_variables ( self , instance , space ) : instance . api = self if space : instance . space = space return instance | Bind related variables to the instance |
14,284 | def tickets ( self , extra_params = None ) : params = { 'per_page' : settings . MAX_PER_PAGE , 'report' : 0 , } if extra_params : params . update ( extra_params ) return self . api . _get_json ( Ticket , space = self , rel_path = self . _build_rel_path ( 'tickets' ) , extra_params = params , get_all = True , ) | All Tickets in this Space |
14,285 | def milestones ( self , extra_params = None ) : params = { 'per_page' : settings . MAX_PER_PAGE , } if extra_params : params . update ( extra_params ) return self . api . _get_json ( Milestone , space = self , rel_path = self . _build_rel_path ( 'milestones/all' ) , extra_params = params , get_all = True , ) | All Milestones in this Space |
14,286 | def tools ( self , extra_params = None ) : return self . api . _get_json ( SpaceTool , space = self , rel_path = self . _build_rel_path ( 'space_tools' ) , extra_params = extra_params , ) | All Tools in this Space |
14,287 | def components ( self , extra_params = None ) : return self . api . _get_json ( Component , space = self , rel_path = self . _build_rel_path ( 'ticket_components' ) , extra_params = extra_params , ) | All components in this Space |
14,288 | def users ( self , extra_params = None ) : return self . api . _get_json ( User , space = self , rel_path = self . _build_rel_path ( 'users' ) , extra_params = extra_params , ) | All Users with access to this Space |
14,289 | def tags ( self , extra_params = None ) : return self . api . _get_json ( Tag , space = self , rel_path = self . _build_rel_path ( 'tags' ) , extra_params = extra_params , ) | All Tags in this Space |
14,290 | def wiki_pages ( self , extra_params = None ) : return self . api . _get_json ( WikiPage , space = self , rel_path = self . _build_rel_path ( 'wiki_pages' ) , extra_params = extra_params , ) | All Wiki Pages with access to this Space |
14,291 | def tickets ( self , extra_params = None ) : return filter ( lambda ticket : ticket . get ( 'milestone_id' , None ) == self [ 'id' ] , self . space . tickets ( extra_params = extra_params ) ) | All Tickets which are a part of this Milestone |
14,292 | def tags ( self , extra_params = None ) : params = { 'per_page' : settings . MAX_PER_PAGE , } if extra_params : params . update ( extra_params ) return self . api . _get_json ( Tag , space = self , rel_path = self . space . _build_rel_path ( 'tickets/%s/tags' % self [ 'number' ] ) , extra_params = params , get_all = Tr... | All Tags in this Ticket |
14,293 | def milestone ( self , extra_params = None ) : if self . get ( 'milestone_id' , None ) : milestones = self . space . milestones ( id = self [ 'milestone_id' ] , extra_params = extra_params ) if milestones : return milestones [ 0 ] | The Milestone that the Ticket is a part of |
14,294 | def user ( self , extra_params = None ) : if self . get ( 'assigned_to_id' , None ) : users = self . space . users ( id = self [ 'assigned_to_id' ] , extra_params = extra_params ) if users : return users [ 0 ] | The User currently assigned to the Ticket |
14,295 | def component ( self , extra_params = None ) : if self . get ( 'component_id' , None ) : components = self . space . components ( id = self [ 'component_id' ] , extra_params = extra_params ) if components : return components [ 0 ] | The Component currently assigned to the Ticket |
14,296 | def comments ( self , extra_params = None ) : params = { 'per_page' : settings . MAX_PER_PAGE , } if extra_params : params . update ( extra_params ) return self . api . _get_json ( TicketComment , space = self , rel_path = self . space . _build_rel_path ( 'tickets/%s/ticket_comments' % self [ 'number' ] ) , extra_param... | All Comments in this Ticket |
14,297 | def write ( self ) : if not hasattr ( self , 'space' ) : raise AttributeError ( "A ticket must have a 'space' attribute before you can write it to Assembla." ) if self . get ( 'number' ) : method = self . space . api . _put_json else : method = self . space . api . _post_json return method ( self , space = self . space... | Create or update the Ticket on Assembla |
14,298 | def delete ( self ) : if not hasattr ( self , 'space' ) : raise AttributeError ( "A ticket must have a 'space' attribute before you can remove it from Assembla." ) return self . space . api . _delete_json ( self , space = self . space , rel_path = self . space . _build_rel_path ( 'tickets' ) , ) | Remove the Ticket from Assembla |
14,299 | def tickets ( self , extra_params = None ) : tickets = [ ] for space in self . api . spaces ( ) : tickets += filter ( lambda ticket : ticket . get ( 'assigned_to_id' , None ) == self [ 'id' ] , space . tickets ( extra_params = extra_params ) ) return tickets | A User s tickets across all available spaces |
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