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def get ( self , file_id , session = None ) : """Get a file from GridFS by ` ` " _ id " ` ` . Returns an instance of : class : ` ~ gridfs . grid _ file . GridOut ` , which provides a file - like interface for reading . : Parameters : - ` file _ id ` : ` ` " _ id " ` ` of the file to get - ` session ` ( op...
gout = GridOut ( self . __collection , file_id , session = session ) # Raise NoFile now , instead of on first attribute access . gout . _ensure_file ( ) return gout
def _sanitize_numbers ( uncleaned_numbers ) : """Convert strings to integers if possible"""
cleaned_numbers = [ ] for x in uncleaned_numbers : try : cleaned_numbers . append ( int ( x ) ) except ValueError : cleaned_numbers . append ( x ) return cleaned_numbers
def calc_cat_clust_order ( net , inst_rc ) : '''cluster category subset of data'''
from . __init__ import Network from copy import deepcopy from . import calc_clust , run_filter inst_keys = list ( net . dat [ 'node_info' ] [ inst_rc ] . keys ( ) ) all_cats = [ x for x in inst_keys if 'cat-' in x ] if len ( all_cats ) > 0 : for inst_name_cat in all_cats : tmp_name = 'dict_' + inst_name_cat...
def notify ( self , new_jobs_count ) : """We just queued new _ jobs _ count jobs on this queue , wake up the workers if needed"""
if not self . use_notify ( ) : return # Not really useful to send more than 100 notifs ( to be configured ) count = min ( new_jobs_count , 100 ) notify_key = redis_key ( "notify" , self ) context . connections . redis . lpush ( notify_key , * ( [ 1 ] * count ) ) context . connections . redis . expire ( notify_key ,...
def eval ( self , expr ) : """Evaluate an expression . This does * * not * * add its argument ( or its result ) as an element of me ! That is the responsibility of the code that created the object . This means that you need to : meth : ` Environment . rec _ new ` any expression you get from user input befor...
if self . depth >= self . max_depth : raise LimitationError ( 'too much nesting' ) if self . steps >= self . max_steps : raise LimitationError ( 'too many steps' ) self . depth += 1 self . steps += 1 res = expr . eval ( self ) self . depth -= 1 return res
def lex ( filename ) : """Generates tokens from an nginx config file"""
with io . open ( filename , mode = 'r' , encoding = 'utf-8' ) as f : it = _lex_file_object ( f ) it = _balance_braces ( it , filename ) for token , line , quoted in it : yield ( token , line , quoted )
def get_env_key ( obj , key = None ) : """Return environment variable key to use for lookups within a namespace represented by the package name . For example , any varialbes for predix . security . uaa are stored as PREDIX _ SECURITY _ UAA _ KEY"""
return str . join ( '_' , [ obj . __module__ . replace ( '.' , '_' ) . upper ( ) , key . upper ( ) ] )
def _get_initialized_channels_for_service ( self , org_id , service_id ) : '''return [ channel ]'''
channels_dict = self . _get_initialized_channels_dict_for_service ( org_id , service_id ) return list ( channels_dict . values ( ) )
def list_from_metadata ( cls , url , metadata ) : '''return a list of DatalakeRecords for the url and metadata'''
key = cls . _get_key ( url ) metadata = Metadata ( ** metadata ) ct = cls . _get_create_time ( key ) time_buckets = cls . get_time_buckets_from_metadata ( metadata ) return [ cls ( url , metadata , t , ct , key . size ) for t in time_buckets ]
def _convert_to_namecheap ( self , record ) : """converts from lexicon format record to namecheap format record , suitable to sending through the api to namecheap"""
name = record [ 'name' ] if name . endswith ( '.' ) : name = name [ : - 1 ] short_name = name [ : name . find ( self . domain ) - 1 ] processed_record = { 'Type' : record [ 'type' ] , 'Name' : short_name , 'TTL' : record [ 'ttl' ] , 'Address' : record [ 'content' ] , 'HostId' : record [ 'id' ] } return processed_re...
def expand_args ( ** args_to_expand ) : """Expand the given lists into the length of the layers . This is used as a convenience so that the user does not need to specify the complete list of parameters for model initialization . IE the user can just specify one parameter and this function will expand it"""
layers = args_to_expand [ 'layers' ] try : items = args_to_expand . iteritems ( ) except AttributeError : items = args_to_expand . items ( ) for key , val in items : if isinstance ( val , list ) and len ( val ) != len ( layers ) : args_to_expand [ key ] = [ val [ 0 ] for _ in layers ] return args_to...
def main ( argString = None ) : """The main function of the module . : param argString : the options . : type argString : list"""
# Getting and checking the options args = parseArgs ( argString ) checkArgs ( args ) merge_related_samples ( args . ibs_related , args . out , args . no_status )
def coordinates ( self , x , y ) : '''return coordinates of a pixel in the map'''
state = self . state return state . mt . coord_from_area ( x , y , state . lat , state . lon , state . width , state . ground_width )
def _to_dict ( self ) : """Return a json dictionary representing this model ."""
_dict = { } if hasattr ( self , 'name' ) and self . name is not None : _dict [ 'name' ] = self . name if hasattr ( self , 'limit' ) and self . limit is not None : _dict [ 'limit' ] = self . limit return _dict
def parse_qs ( self , qs ) : """Parse query string , but enforce one instance of each variable . Return a dict with the variables on success Return None on parse error"""
qs_state = urllib2 . urlparse . parse_qs ( qs ) ret = { } for qs_var , qs_value_list in qs_state . items ( ) : if len ( qs_value_list ) > 1 : return None ret [ qs_var ] = qs_value_list [ 0 ] return ret
def prepData4Call ( self , * args , ** kwargs ) : """NAME : prepData4Call PURPOSE : prepare stream data for the _ _ call _ _ method INPUT : _ _ call _ _ inputs OUTPUT : ( dOmega , dangle ) ; wrt the progenitor ; each [ 3 , nobj ] HISTORY : 2013-12-04 - Written - Bovy ( IAS )"""
# First calculate the actionAngle coordinates if they ' re not given # as such freqsAngles = self . _parse_call_args ( * args , ** kwargs ) dOmega = freqsAngles [ : 3 , : ] - numpy . tile ( self . _progenitor_Omega . T , ( freqsAngles . shape [ 1 ] , 1 ) ) . T dangle = freqsAngles [ 3 : , : ] - numpy . tile ( self . _p...
def _reformat ( p , buf ) : """Apply format of ` ` p ` ` to data in 1 - d array ` ` buf ` ` ."""
if numpy . ndim ( buf ) != 1 : raise ValueError ( "Buffer ``buf`` must be 1-d." ) if hasattr ( p , 'keys' ) : ans = _gvar . BufferDict ( p ) if ans . size != len ( buf ) : raise ValueError ( "p, buf size mismatch: %d, %d" % ( ans . size , len ( buf ) ) ) ans = _gvar . BufferDict ( ans , buf = bu...
def _extract_links_from_asset_tags_in_text ( self , text ) : """Scan the text and extract asset tags and links to corresponding files . @ param text : Page text . @ type text : str @ return : @ see CourseraOnDemand . _ extract _ links _ from _ text"""
# Extract asset tags from instructions text asset_tags_map = self . _extract_asset_tags ( text ) ids = list ( iterkeys ( asset_tags_map ) ) if not ids : return { } # asset tags contain asset names and ids . We need to make another # HTTP request to get asset URL . asset_urls = self . _extract_asset_urls ( ids ) sup...
def pop ( self , idx = - 1 ) : """Remove and return item at * idx * ( default last ) . Raises IndexError if list is empty or index is out of range . Negative indices are supported , as for slice indices ."""
# pylint : disable = arguments - differ if not self . _len : raise IndexError ( 'pop index out of range' ) _lists = self . _lists if idx == 0 : val = _lists [ 0 ] [ 0 ] self . _delete ( 0 , 0 ) return val if idx == - 1 : pos = len ( _lists ) - 1 loc = len ( _lists [ pos ] ) - 1 val = _lists ...
def _iadd_spmatrix ( self , X , alpha = 1.0 ) : """Add a sparse matrix : math : ` X ` to : py : class : ` cspmatrix ` ."""
assert self . is_factor is False , "cannot add spmatrix to a cspmatrix factor" n = self . symb . n snptr = self . symb . snptr snode = self . symb . snode relptr = self . symb . relptr snrowidx = self . symb . snrowidx sncolptr = self . symb . sncolptr blkptr = self . symb . blkptr blkval = self . blkval if self . symb...
def create_unsigned_tx ( inputs , outputs , change_address = None , include_tosigntx = False , verify_tosigntx = False , min_confirmations = 0 , preference = 'high' , coin_symbol = 'btc' , api_key = None ) : '''Create a new transaction to sign . Doesn ' t ask for or involve private keys . Behind the scenes , bloc...
# Lots of defensive checks assert isinstance ( inputs , list ) , inputs assert isinstance ( outputs , list ) , outputs assert len ( inputs ) >= 1 , inputs assert len ( outputs ) >= 1 , outputs inputs_cleaned = [ ] for input_obj in inputs : # ` input ` is a reserved word if 'address' in input_obj : address =...
def cmd ( send , msg , _ ) : """Converts morse to ascii . Syntax : { command } < text >"""
demorse_codes = { '.----' : '1' , '-.--' : 'y' , '..-' : 'u' , '...' : 's' , '-.-.' : 'c' , '.-.-.' : '+' , '--..--' : ',' , '-.-' : 'k' , '.--.' : 'p' , '----.' : '9' , '-----' : '0' , ' ' : ' ' , '...--' : '3' , '-....-' : '-' , '...-..-' : '$' , '..---' : '2' , '.--.-.' : '@' , '-...-' : '=' , '-....' : '6' , '...-...
def channels_archive ( self , room_id , ** kwargs ) : """Archives a channel ."""
return self . __call_api_post ( 'channels.archive' , roomId = room_id , kwargs = kwargs )
def set_special ( index , color , iterm_name = "h" , alpha = 100 ) : """Convert a hex color to a special sequence ."""
if OS == "Darwin" and iterm_name : return "\033]P%s%s\033\\" % ( iterm_name , color . strip ( "#" ) ) if index in [ 11 , 708 ] and alpha != "100" : return "\033]%s;[%s]%s\033\\" % ( index , alpha , color ) return "\033]%s;%s\033\\" % ( index , color )
def bubble_to_dot ( bblfile : str , dotfile : str = None , render : bool = False , oriented : bool = False ) : """Write in dotfile a graph equivalent to those depicted in bubble file"""
tree = BubbleTree . from_bubble_file ( bblfile , oriented = bool ( oriented ) ) return tree_to_dot ( tree , dotfile , render = render )
def set_sound_mode_dict ( self , sound_mode_dict ) : """Set the matching dictionary used to match the raw sound mode ."""
error_msg = ( "Syntax of sound mode dictionary not valid, " "use: OrderedDict([('COMMAND', ['VALUE1','VALUE2'])])" ) if isinstance ( sound_mode_dict , dict ) : mode_list = list ( sound_mode_dict . values ( ) ) for sublist in mode_list : if isinstance ( sublist , list ) : for element in subli...
def run_command ( self , cmd , sudo = False , capture = True , quiet = None , return_result = False ) : '''run _ command is a wrapper for the global run _ command , checking first for sudo and exiting on error if needed . The message is returned as a list of lines for the calling function to parse , and stdout ...
# First preference to function , then to client setting if quiet == None : quiet = self . quiet result = run_cmd ( cmd , sudo = sudo , capture = capture , quiet = quiet ) # If one line is returned , squash dimension if len ( result [ 'message' ] ) == 1 : result [ 'message' ] = result [ 'message' ] [ 0 ] # If th...
def get_by_id ( self , institution_id , _options = None ) : '''Fetch a single institution by id . : param str institution _ id :'''
options = _options or { } return self . client . post_public_key ( '/institutions/get_by_id' , { 'institution_id' : institution_id , 'options' : options , } )
def getfullfilename ( file_path ) : '''Get full filename ( with extension )'''
warnings . warn ( "getfullfilename() is deprecated and will be removed in near future. Use chirptext.io.write_file() instead" , DeprecationWarning ) if file_path : return os . path . basename ( file_path ) else : return ''
def is_line_in_file ( filename : str , line : str ) -> bool : """Detects whether a line is present within a file . Args : filename : file to check line : line to search for ( as an exact match )"""
assert "\n" not in line with open ( filename , "r" ) as file : for fileline in file : if fileline == line : return True return False
def _draw ( self , data ) : """Draw text"""
self . _cursor . clearSelection ( ) self . _cursor . setPosition ( self . _last_cursor_pos ) if '\x07' in data . txt : print ( '\a' ) txt = data . txt . replace ( '\x07' , '' ) if '\x08' in txt : parts = txt . split ( '\x08' ) else : parts = [ txt ] for i , part in enumerate ( parts ) : if part : ...
def from_id ( self , tiger , queue , state , task_id , load_executions = 0 ) : """Loads a task with the given ID from the given queue in the given state . An integer may be passed in the load _ executions parameter to indicate how many executions should be loaded ( starting from the latest ) . If the task doe...
if load_executions : pipeline = tiger . connection . pipeline ( ) pipeline . get ( tiger . _key ( 'task' , task_id ) ) pipeline . lrange ( tiger . _key ( 'task' , task_id , 'executions' ) , - load_executions , - 1 ) serialized_data , serialized_executions = pipeline . execute ( ) else : serialized_d...
def stop ( name , call = None ) : """Stop a running machine . @ param name : Machine to stop @ type name : str @ param call : Must be " action " @ type call : str"""
if call != 'action' : raise SaltCloudSystemExit ( 'The instance action must be called with -a or --action.' ) log . info ( "Stopping machine: %s" , name ) vb_stop_vm ( name ) machine = vb_get_machine ( name ) del machine [ "name" ] return treat_machine_dict ( machine )
def operations ( * operations ) : '''Decorator for marking Resource methods as HTTP operations . This decorator does a number of different things : - It transfer onto itself docstring and annotations from the decorated method , so as to be " transparent " with regards to introspection . - It tranform the me...
def decorator ( method ) : def wrapper ( cls , request , start_response , ** kwargs ) : result_cache = [ ] try : yield from method ( cls , request , ** kwargs ) except Respond as e : # Inject messages as taken from signature status = e . status msg = utils...
def optimal_parameters ( reconstruction , fom , phantoms , data , initial = None , univariate = False ) : r"""Find the optimal parameters for a reconstruction method . Notes For a forward operator : math : ` A : X \ to Y ` , a reconstruction operator parametrized by : math : ` \ theta ` is some operator : m...
def func ( lam ) : # Function to be minimized by scipy return sum ( fom ( reconstruction ( datai , lam ) , phantomi ) for phantomi , datai in zip ( phantoms , data ) ) # Pick resolution to fit the one used by the space tol = np . finfo ( phantoms [ 0 ] . space . dtype ) . resolution * 10 if univariate : # We use a ...
def within ( self , lat , lon , radius ) : '''Convenience method to apply a $ loc / $ within / $ center filter . Radius is in meters .'''
return self . filter ( filter_helpers . within_ ( lat , lon , radius ) )
def send_video_note ( self , * args , ** kwargs ) : """See : func : ` send _ video `"""
return send_video_note ( * args , ** self . _merge_overrides ( ** kwargs ) ) . run ( )
def create_requests ( self , request_to_create ) : """CreateRequests . [ Preview API ] Create a new symbol request . : param : class : ` < Request > < azure . devops . v5_0 . symbol . models . Request > ` request _ to _ create : The symbol request to create . : rtype : : class : ` < Request > < azure . devops...
content = self . _serialize . body ( request_to_create , 'Request' ) response = self . _send ( http_method = 'POST' , location_id = 'ebc09fe3-1b20-4667-abc5-f2b60fe8de52' , version = '5.0-preview.1' , content = content ) return self . _deserialize ( 'Request' , response )
def _d_helper ( vec , vname , color , bw , titlesize , xt_labelsize , linewidth , markersize , credible_interval , point_estimate , hpd_markers , outline , shade , ax , ) : """Plot an individual dimension . Parameters vec : array 1D array from trace vname : str variable name color : str matplotlib col...
if vec . dtype . kind == "f" : if credible_interval != 1 : hpd_ = hpd ( vec , credible_interval ) new_vec = vec [ ( vec >= hpd_ [ 0 ] ) & ( vec <= hpd_ [ 1 ] ) ] else : new_vec = vec density , xmin , xmax = _fast_kde ( new_vec , bw = bw ) density *= credible_interval x = np ....
def DownloadCollection ( coll_path , target_path , token = None , overwrite = False , dump_client_info = False , flatten = False , max_threads = 10 ) : """Iterate through a Collection object downloading all files . Args : coll _ path : Path to an AFF4 collection . target _ path : Base directory to write to . ...
completed_clients = set ( ) coll = _OpenCollectionPath ( coll_path ) if coll is None : logging . error ( "%s is not a valid collection. Typo? " "Are you sure something was written to it?" , coll_path ) return thread_pool = threadpool . ThreadPool . Factory ( "Downloader" , max_threads ) thread_pool . Start ( ) ...
def _get_larger_chroms ( ref_file ) : """Retrieve larger chromosomes , avoiding the smaller ones for plotting ."""
from scipy . cluster . vq import kmeans , vq all_sizes = [ ] for c in ref . file_contigs ( ref_file ) : all_sizes . append ( float ( c . size ) ) all_sizes . sort ( ) if len ( all_sizes ) > 5 : # separate out smaller chromosomes and haplotypes with kmeans centroids , _ = kmeans ( np . array ( all_sizes ) , 2 ) ...
def reset ( self ) : """Resets the foreground and background color value back to the original when initialised ."""
self . _fgcolor = self . default_fgcolor self . _bgcolor = self . default_bgcolor
def relations_to ( self , target , include_object = False ) : '''list all relations pointing at an object'''
relations = self . _get_item_node ( target ) . incoming if include_object : for k in relations : for v in relations [ k ] : if hasattr ( v , 'obj' ) : # filter dead links yield v . obj , k else : yield from relations
def _get_ids_from_name_private ( self , name ) : """Get private images which match the given name ."""
results = self . list_private_images ( name = name ) return [ result [ 'id' ] for result in results ]
def _support_diag_dump ( self ) : '''Collect log info for debug'''
# check insights config cfg_block = [ ] pconn = InsightsConnection ( self . config ) logger . info ( 'Insights version: %s' , get_nvr ( ) ) reg_check = registration_check ( pconn ) cfg_block . append ( 'Registration check:' ) for key in reg_check : cfg_block . append ( key + ': ' + str ( reg_check [ key ] ) ) lastu...
def dmail_delete ( self , dmail_id ) : """Delete a dmail . You can only delete dmails you own ( Requires login ) . Parameters : dmail _ id ( int ) : where dmail _ id is the dmail id ."""
return self . _get ( 'dmails/{0}.json' . format ( dmail_id ) , method = 'DELETE' , auth = True )
def _init_map ( self , record_types = None , ** kwargs ) : """Initialize form map"""
osid_objects . OsidObjectForm . _init_map ( self , record_types = record_types ) self . _my_map [ 'outputScore' ] = self . _output_score_default self . _my_map [ 'gradeSystemId' ] = str ( kwargs [ 'grade_system_id' ] ) self . _my_map [ 'inputScoreEndRange' ] = self . _input_score_end_range_default self . _my_map [ 'inp...
def _format_firewall_stdout ( cmd_ret ) : '''Helper function to format the stdout from the get _ firewall _ status function . cmd _ ret The return dictionary that comes from a cmd . run _ all call .'''
ret_dict = { 'success' : True , 'rulesets' : { } } for line in cmd_ret [ 'stdout' ] . splitlines ( ) : if line . startswith ( 'Name' ) : continue if line . startswith ( '---' ) : continue ruleset_status = line . split ( ) ret_dict [ 'rulesets' ] [ ruleset_status [ 0 ] ] = bool ( ruleset_...
def __is_valid_value_for_arg ( self , arg , value , check_extension = True ) : """Check if value is allowed for arg Some commands only allow a limited set of values . The method always returns True for methods that do not provide such a set . : param arg : the argument ' s name : param value : the value t...
if "values" not in arg and "extension_values" not in arg : return True if "values" in arg and value . lower ( ) in arg [ "values" ] : return True if "extension_values" in arg : extension = arg [ "extension_values" ] . get ( value . lower ( ) ) if extension : condition = ( check_extension and ext...
def export_vms ( self , vms_names = None , standalone = False , export_dir = '.' , compress = False , init_file_name = 'LagoInitFile' , out_format = YAMLOutFormatPlugin ( ) , collect_only = False , with_threads = True , ) : """Export vm images disks and init file . The exported images and init file can be used to...
return self . virt_env . export_vms ( vms_names , standalone , export_dir , compress , init_file_name , out_format , collect_only , with_threads )
def get_source ( fileobj ) : """Translate fileobj into file contents . fileobj is either a string or a dict . If it ' s a string , that ' s the file contents . If it ' s a string , then the filename key contains the name of the file whose contents we are to use . If the dict contains a true value for the ke...
if not isinstance ( fileobj , dict ) : return fileobj else : try : with io . open ( fileobj [ "filename" ] , encoding = "utf-8" , errors = "ignore" ) as f : return f . read ( ) finally : if fileobj . get ( 'delete_after_use' ) : try : os . remove ( fil...
def check_mod_enabled ( mod ) : '''Checks to see if the specific mod symlink is in / etc / apache2 / mods - enabled . This will only be functional on Debian - based operating systems ( Ubuntu , Mint , etc ) . CLI Examples : . . code - block : : bash salt ' * ' apache . check _ mod _ enabled status salt ...
if mod . endswith ( '.load' ) or mod . endswith ( '.conf' ) : mod_file = mod else : mod_file = '{0}.load' . format ( mod ) return os . path . islink ( '/etc/apache2/mods-enabled/{0}' . format ( mod_file ) )
def complement ( self , alphabet ) : """Returns the complement of DFA Args : alphabet ( list ) : The input alphabet Returns : None"""
states = sorted ( self . states , key = attrgetter ( 'initial' ) , reverse = True ) for state in states : if state . final : state . final = False else : state . final = True
def rsp_process ( rsp , sampling_rate = 1000 ) : """Automated processing of RSP signals . Parameters rsp : list or array Respiratory ( RSP ) signal array . sampling _ rate : int Sampling rate ( samples / second ) . Returns processed _ rsp : dict Dict containing processed RSP features . Contains th...
processed_rsp = { "df" : pd . DataFrame ( { "RSP_Raw" : np . array ( rsp ) } ) } biosppy_rsp = dict ( biosppy . signals . resp . resp ( rsp , sampling_rate = sampling_rate , show = False ) ) processed_rsp [ "df" ] [ "RSP_Filtered" ] = biosppy_rsp [ "filtered" ] # RSP Rate rsp_rate = biosppy_rsp [ "resp_rate" ] * 60 # G...
def py_to_go_cookie ( py_cookie ) : '''Convert a python cookie to the JSON - marshalable Go - style cookie form .'''
# TODO ( perhaps ) : # HttpOnly # Creation # LastAccess # Updated # not done properly : CanonicalHost . go_cookie = { 'Name' : py_cookie . name , 'Value' : py_cookie . value , 'Domain' : py_cookie . domain , 'HostOnly' : not py_cookie . domain_specified , 'Persistent' : not py_cookie . discard , 'Secure' : py_cookie . ...
def fetchMore ( self , parentIndex ) : # TODO : Make LazyLoadRepoTreeModel ? """Fetches any available data for the items with the parent specified by the parent index ."""
parentItem = self . getItem ( parentIndex ) if not parentItem : return if not parentItem . canFetchChildren ( ) : return # TODO : implement InsertItems to optimize ? for childItem in parentItem . fetchChildren ( ) : self . insertItem ( childItem , parentIndex = parentIndex ) # Check that Rti implementation ...
def save_location ( self , filename : str , location : PostLocation , mtime : datetime ) -> None : """Save post location name and Google Maps link ."""
filename += '_location.txt' location_string = ( location . name + "\n" + "https://maps.google.com/maps?q={0},{1}&ll={0},{1}\n" . format ( location . lat , location . lng ) ) with open ( filename , 'wb' ) as text_file : shutil . copyfileobj ( BytesIO ( location_string . encode ( ) ) , text_file ) os . utime ( filena...
def flatten_errors ( cfg , res , levels = None , results = None ) : """An example function that will turn a nested dictionary of results ( as returned by ` ` ConfigObj . validate ` ` ) into a flat list . ` ` cfg ` ` is the ConfigObj instance being checked , ` ` res ` ` is the results dictionary returned by ` ...
if levels is None : # first time called levels = [ ] results = [ ] if res == True : return results if res == False or isinstance ( res , Exception ) : results . append ( ( levels [ : ] , None , res ) ) if levels : levels . pop ( ) return results for ( key , val ) in res . items ( ) : ...
def _get_factors ( self , element ) : """Get factors for categorical axes ."""
xdim , ydim = element . dimensions ( ) [ : 2 ] xvals , yvals = [ element . dimension_values ( i , False ) for i in range ( 2 ) ] coords = tuple ( [ v if vals . dtype . kind in 'SU' else dim . pprint_value ( v ) for v in vals ] for dim , vals in [ ( xdim , xvals ) , ( ydim , yvals ) ] ) if self . invert_axes : coord...
def _find_geophysical_vars ( self , ds , refresh = False ) : '''Returns a list of geophysical variables . Modifies ` self . _ geophysical _ vars ` : param netCDF4 . Dataset ds : An open netCDF dataset : param bool refresh : if refresh is set to True , the cache is invalidated . : rtype : list : return :...
if self . _geophysical_vars . get ( ds , None ) and refresh is False : return self . _geophysical_vars [ ds ] self . _geophysical_vars [ ds ] = cfutil . get_geophysical_variables ( ds ) return self . _geophysical_vars [ ds ]
def list_subscriptions ( self , service ) : """Asks for a list of all subscribed accounts and devices , along with their statuses ."""
data = { 'service' : service , } return self . _perform_post_request ( self . list_subscriptions_endpoint , data , self . token_header )
def rank_for_in ( self , leaderboard_name , member ) : '''Retrieve the rank for a member in the named leaderboard . @ param leaderboard _ name [ String ] Name of the leaderboard . @ param member [ String ] Member name . @ return the rank for a member in the leaderboard .'''
member_score = str ( float ( self . score_for_in ( leaderboard_name , member ) ) ) if self . order == self . ASC : try : return self . redis_connection . zcount ( leaderboard_name , '-inf' , '(%s' % member_score ) + 1 except : return None else : try : return self . redis_connection ....
def _sincedb_init ( self ) : """Initializes the sincedb schema in an sqlite db"""
if not self . _sincedb_path : return if not os . path . exists ( self . _sincedb_path ) : self . _log_debug ( 'initializing sincedb sqlite schema' ) conn = sqlite3 . connect ( self . _sincedb_path , isolation_level = None ) conn . execute ( """ create table sincedb ( fid ...
def _get_redis_server ( opts = None ) : '''Return the Redis server instance . Caching the object instance .'''
global REDIS_SERVER if REDIS_SERVER : return REDIS_SERVER if not opts : opts = _get_redis_cache_opts ( ) if opts [ 'cluster_mode' ] : REDIS_SERVER = StrictRedisCluster ( startup_nodes = opts [ 'startup_nodes' ] , skip_full_coverage_check = opts [ 'skip_full_coverage_check' ] ) else : REDIS_SERVER = redi...
def _operatorOperands ( tokenlist ) : "generator to extract operators and operands in pairs"
it = iter ( tokenlist ) while 1 : try : yield ( it . next ( ) , it . next ( ) ) except StopIteration : break
def get_field_resolver ( self , field_resolver : GraphQLFieldResolver ) -> GraphQLFieldResolver : """Wrap the provided resolver with the middleware . Returns a function that chains the middleware functions with the provided resolver function ."""
if self . _middleware_resolvers is None : return field_resolver if field_resolver not in self . _cached_resolvers : self . _cached_resolvers [ field_resolver ] = reduce ( lambda chained_fns , next_fn : partial ( next_fn , chained_fns ) , self . _middleware_resolvers , field_resolver , ) return self . _cached_re...
def evolve ( self , rho : Density ) -> Density : """Apply the action of this gate upon a density"""
# TODO : implement without explicit channel creation ? chan = self . aschannel ( ) return chan . evolve ( rho )
def read_epub ( name , options = None ) : """Creates new instance of EpubBook with the content defined in the input file . > > > book = ebooklib . read _ epub ( ' book . epub ' ) : Args : - name : full path to the input file - options : extra options as dictionary ( optional ) : Returns : Instance of Ep...
reader = EpubReader ( name , options ) book = reader . load ( ) reader . process ( ) return book
def _list_subnets_by_identifier ( self , identifier ) : """Returns a list of IDs of the subnet matching the identifier . : param string identifier : The identifier to look up : returns : List of matching IDs"""
identifier = identifier . split ( '/' , 1 ) [ 0 ] results = self . list_subnets ( identifier = identifier , mask = 'id' ) return [ result [ 'id' ] for result in results ]
def parse_lit ( self , lines ) : '''Parse a string line - by - line delineating comments and code : returns : An tuple of boolean / list - of - string pairs . True designates a comment ; False designates code .'''
comment_char = '#' # TODO : move this into a directive option comment = re . compile ( r'^\s*{0}[ \n]' . format ( comment_char ) ) section_test = lambda val : bool ( comment . match ( val ) ) sections = [ ] for is_doc , group in itertools . groupby ( lines , section_test ) : if is_doc : text = [ comment . s...
def formatMessage ( self , record : logging . LogRecord ) -> str : """Convert the already filled log record to a string ."""
level_color = "0" text_color = "0" fmt = "" if record . levelno <= logging . DEBUG : fmt = "\033[0;37m" + logging . BASIC_FORMAT + "\033[0m" elif record . levelno <= logging . INFO : level_color = "1;36" lmsg = record . message . lower ( ) if self . GREEN_RE . search ( lmsg ) : text_color = "1;3...
def scale_axes_from_data ( self ) : """Restrict data limits for Y - axis based on what you can see"""
# get tight limits for X - axis if self . args . xmin is None : self . args . xmin = min ( fs . xspan [ 0 ] for fs in self . spectra ) if self . args . xmax is None : self . args . xmax = max ( fs . xspan [ 1 ] for fs in self . spectra ) # autoscale view for Y - axis cropped = [ fs . crop ( self . args . xmin ,...
def init_app ( self , app ) : """Setup the logging handlers , level and formatters . Level ( DEBUG , INFO , CRITICAL , etc ) is determined by the app . config [ ' FLASK _ LOG _ LEVEL ' ] setting , and defaults to ` ` None ` ` / ` ` logging . NOTSET ` ` ."""
config_log_level = app . config . get ( 'FLASK_LOG_LEVEL' , None ) # Set up format for default logging hostname = platform . node ( ) . split ( '.' ) [ 0 ] formatter = ( '[%(asctime)s] %(levelname)s %(process)d [%(name)s] ' '%(filename)s:%(lineno)d - ' '[{hostname}] - %(message)s' ) . format ( hostname = hostname ) con...
def apply_computation ( cls , state : BaseState , message : Message , transaction_context : BaseTransactionContext ) -> 'BaseComputation' : """Perform the computation that would be triggered by the VM message ."""
with cls ( state , message , transaction_context ) as computation : # Early exit on pre - compiles if message . code_address in computation . precompiles : computation . precompiles [ message . code_address ] ( computation ) return computation show_debug2 = computation . logger . show_debug2 ...
def can_fetch_pool ( self , request : Request ) : '''Return whether the request can be fetched based on the pool .'''
url_info = request . url_info user_agent = request . fields . get ( 'User-agent' , '' ) if self . _robots_txt_pool . has_parser ( url_info ) : return self . _robots_txt_pool . can_fetch ( url_info , user_agent ) else : raise NotInPoolError ( )
def load_slice ( self , state , start , end ) : """Return the memory objects overlapping with the provided slice . : param start : the start address : param end : the end address ( non - inclusive ) : returns : tuples of ( starting _ addr , memory _ object )"""
items = [ ] if start > self . _page_addr + self . _page_size or end < self . _page_addr : l . warning ( "Calling load_slice on the wrong page." ) return items for addr in range ( max ( start , self . _page_addr ) , min ( end , self . _page_addr + self . _page_size ) ) : i = addr - self . _page_addr mo =...
def expectation ( self , observables , statistics , lag_multiple = 1 , observables_mean_free = False , statistics_mean_free = False ) : r"""Compute future expectation of observable or covariance using the approximated Koopman operator . Parameters observables : np . ndarray ( ( input _ dimension , n _ observabl...
# TODO : implement the case lag _ multiple = 0 dim = self . dimension ( ) S = np . diag ( np . concatenate ( ( [ 1.0 ] , self . singular_values [ 0 : dim ] ) ) ) V = self . V [ : , 0 : dim ] U = self . U [ : , 0 : dim ] m_0 = self . mean_0 m_t = self . mean_t assert lag_multiple >= 1 , 'lag_multiple = 0 not implemented...
def dump_submission_data ( self ) : """Dumps the current submission data to the submission file ."""
# renew the dashboard config self . submission_data [ "dashboard_config" ] = self . dashboard . get_persistent_config ( ) # write the submission data to the output file self . _outputs [ "submission" ] . dump ( self . submission_data , formatter = "json" , indent = 4 )
def _get_cache_name ( function ) : """returns a name for the module ' s cache db ."""
module_name = _inspect . getfile ( function ) module_name = _os . path . abspath ( module_name ) cache_name = module_name # fix for ' < string > ' or ' < stdin > ' in exec or interpreter usage . cache_name = cache_name . replace ( '<' , '_lt_' ) cache_name = cache_name . replace ( '>' , '_gt_' ) tmpdir = _os . getenv (...
def add_permission_for_apigateway ( self , function_name , region_name , account_id , rest_api_id , random_id = None ) : # type : ( str , str , str , str , Optional [ str ] ) - > None """Authorize API gateway to invoke a lambda function is needed . This method will first check if API gateway has permission to cal...
source_arn = self . _build_source_arn_str ( region_name , account_id , rest_api_id ) self . _add_lambda_permission_if_needed ( source_arn = source_arn , function_arn = function_name , service_name = 'apigateway' , )
def load_saved_records ( self , status , records ) : """Load ALDB records from a set of saved records ."""
if isinstance ( status , ALDBStatus ) : self . _status = status else : self . _status = ALDBStatus ( status ) for mem_addr in records : rec = records [ mem_addr ] control_flags = int ( rec . get ( 'control_flags' , 0 ) ) group = int ( rec . get ( 'group' , 0 ) ) rec_addr = rec . get ( 'address' ...
def _set_xml_from_keys ( self , root , item , ** kwargs ) : """Create SubElements of root with kwargs . Args : root : Element to add SubElements to . item : Tuple key / value pair from self . data _ keys to add . kwargs : For each item in self . data _ keys , if it has a corresponding kwarg , create a S...
key , val = item target_key = root . find ( key ) if target_key is None : target_key = ElementTree . SubElement ( root , key ) if isinstance ( val , dict ) : for dict_item in val . items ( ) : self . _set_xml_from_keys ( target_key , dict_item , ** kwargs ) return # Convert kwarg data to the appropr...
def surrogate_escape ( error ) : """Simulate the Python 3 ` ` surrogateescape ` ` handler , but for Python 2 only ."""
chars = error . object [ error . start : error . end ] assert len ( chars ) == 1 val = ord ( chars ) val += 0xdc00 return __builtin__ . unichr ( val ) , error . end
def strip_prefixes ( g : Graph ) : """Remove the prefixes from the graph for aesthetics"""
return re . sub ( r'^@prefix .* .\n' , '' , g . serialize ( format = "turtle" ) . decode ( ) , flags = re . MULTILINE ) . strip ( )
def mask ( self , dims = None , base = None , fill = 'deeppink' , stroke = 'black' , background = None ) : """Create a mask image with colored regions . Parameters dims : tuple , optional , default = None Dimensions of embedding image , will be ignored if background image is provided . base : array - like...
fill = getcolor ( fill ) stroke = getcolor ( stroke ) background = getcolor ( background ) if dims is None and base is None : region = one ( self . coordinates - self . bbox [ 0 : 2 ] ) else : region = self base = getbase ( base = base , dims = dims , extent = self . extent , background = background ) if fill i...
def remove_header_search_paths ( self , paths , target_name = None , configuration_name = None ) : """Removes the given search paths from the HEADER _ SEARCH _ PATHS section of the target on the configurations : param paths : A string or array of strings : param target _ name : Target name or list of target nam...
self . remove_search_paths ( XCBuildConfigurationFlags . HEADER_SEARCH_PATHS , paths , target_name , configuration_name )
def add_param ( self , param_name , layer_index , blob_index ) : """Add a param to the . params file"""
blobs = self . layers [ layer_index ] . blobs self . dict_param [ param_name ] = mx . nd . array ( caffe . io . blobproto_to_array ( blobs [ blob_index ] ) )
def text_filter ( regex_base , value ) : """Helper method to regex replace images with captions in different markups"""
regex = regex_base % { 're_cap' : r'[a-zA-Z0-9\.\,:;/_ \(\)\-\!\?"]+' , 're_img' : r'[a-zA-Z0-9\.:/_\-\% ]+' } images = re . findall ( regex , value ) for i in images : image = i [ 1 ] if image . startswith ( settings . MEDIA_URL ) : image = image [ len ( settings . MEDIA_URL ) : ] im = get_thumbnai...
def GetEntries ( self , parser_mediator , top_level = None , ** unused_kwargs ) : """Extracts relevant install history entries . Args : parser _ mediator ( ParserMediator ) : mediates interactions between parsers and other components , such as storage and dfvfs . top _ level ( dict [ str , object ] ) : plis...
for entry in top_level : datetime_value = entry . get ( 'date' , None ) package_identifiers = entry . get ( 'packageIdentifiers' , [ ] ) if not datetime_value or not package_identifiers : continue display_name = entry . get ( 'displayName' , '<UNKNOWN>' ) display_version = entry . get ( 'dis...
def user_record ( uid , type = 0 ) : """获取用户的播放列表 , 必须登录 : param uid : 用户的ID , 可通过登录或者其他接口获取 : param type : ( optional ) 数据类型 , 0 : 获取所有记录 , 1 : 获取 weekData"""
if uid is None : raise ParamsError ( ) r = NCloudBot ( ) r . method = 'USER_RECORD' r . data = { 'type' : type , 'uid' : uid , "csrf_token" : "" } r . send ( ) return r . response
def agg_grid ( grid , agg = None ) : """Many functions return a 2d list with a complex data type in each cell . For instance , grids representing environments have a set of resources , while reading in multiple data files at once will yield a list containing the values for that cell from each file . In order ...
grid = deepcopy ( grid ) if agg is None : if type ( grid [ 0 ] [ 0 ] ) is list and type ( grid [ 0 ] [ 0 ] [ 0 ] ) is str : agg = string_avg else : agg = mode for i in range ( len ( grid ) ) : for j in range ( len ( grid [ i ] ) ) : grid [ i ] [ j ] = agg ( grid [ i ] [ j ] ) return ...
def reload_webservers ( ) : """Reload apache2 and nginx"""
if env . verbosity : print env . host , "RELOADING apache2" with settings ( warn_only = True ) : a = sudo ( "/etc/init.d/apache2 reload" ) if env . verbosity : print '' , a if env . verbosity : # Reload used to fail on Ubuntu but at least in 10.04 it works print env . host , "RELOADING nginx" wi...
def reload_config ( self , async = True , verbose = False ) : '''Initiate a config reload . This may take a while on large installations .'''
# If we ' re using an API version older than 4.5.0 , don ' t use async api_version = float ( self . api_version ( ) [ 'api_version' ] ) if api_version < 4.5 : async = False url = '{}/{}{}' . format ( self . rest_url , 'reload' , '?asynchronous=1' if async else '' ) return self . __auth_req_post ( url , verbose = ve...
def _all_dims ( x , default_dims = None ) : """Returns a list of dims in x or default _ dims if the rank is unknown ."""
if x . get_shape ( ) . ndims is not None : return list ( xrange ( x . get_shape ( ) . ndims ) ) else : return default_dims
def from_master_password ( cls , password , network = BitcoinMainNet ) : """Generate a new key from a master password . This password is hashed via a single round of sha256 and is highly breakable , but it ' s the standard brainwallet approach . See ` PrivateKey . from _ master _ password _ slow ` for a sligh...
password = ensure_bytes ( password ) key = sha256 ( password ) . hexdigest ( ) return cls . from_hex_key ( key , network )
def latinize ( mapping , bind , values ) : """Transliterate a given string into the latin alphabet ."""
for v in values : if isinstance ( v , six . string_types ) : v = transliterate ( v ) yield v
def build_content_handler ( parent , filter_func ) : """Build a ` ~ xml . sax . handler . ContentHandler ` with a given filter"""
from ligo . lw . lsctables import use_in class _ContentHandler ( parent ) : # pylint : disable = too - few - public - methods def __init__ ( self , document ) : super ( _ContentHandler , self ) . __init__ ( document , filter_func ) return use_in ( _ContentHandler )
def _onerror ( self , result ) : """To execute on execution failure : param cdumay _ result . Result result : Execution result : return : Execution result : rtype : cdumay _ result . Result"""
self . _set_status ( "FAILED" , result ) logger . error ( "{}.Failed: {}[{}]: {}" . format ( self . __class__ . __name__ , self . __class__ . path , self . uuid , result ) , extra = dict ( kmsg = Message ( self . uuid , entrypoint = self . __class__ . path , params = self . params ) . dump ( ) , kresult = ResultSchema ...
def handle_default_args ( args ) : """Include handling of any default arguments that all commands should implement here ( for example , specifying the pythonpath ) ."""
if hasattr ( args , 'pythonpath' ) : if args . pythonpath : sys . path . insert ( 0 , args . pythonpath )
def stop_program ( self , turn_off_load = True ) : """Stops running programmed test sequence : return : None"""
self . __set_buffer_start ( self . CMD_STOP_PROG ) self . __set_checksum ( ) self . __send_buffer ( ) if turn_off_load and self . load_on : self . load_on = False