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def iter_languages ( self , number = - 1 , etag = None ) : """Iterate over the programming languages used in the repository . : param int number : ( optional ) , number of languages to return . Default : -1 returns all used languages : param str etag : ( optional ) , ETag from a previous request to the same ...
url = self . _build_url ( 'languages' , base_url = self . _api ) return self . _iter ( int ( number ) , url , tuple , etag = etag )
def all_collections ( db ) : """Yield all non - sytem collections in db ."""
include_pattern = r'(?!system\.)' return ( db [ name ] for name in db . list_collection_names ( ) if re . match ( include_pattern , name ) )
def confirm_redirect_uri ( self , client_id , code , redirect_uri , client , request , * args , ** kwargs ) : """Ensure that the authorization process represented by this authorization code began with this ' redirect _ uri ' . If the client specifies a redirect _ uri when obtaining code then that redirect URI...
raise NotImplementedError ( 'Subclasses must implement this method.' )
def Drop ( self : dict , n ) : """' self ' : [ 1 , 2 , 3 , 4 , 5 ] , ' n ' : 3, ' assert ' : lambda ret : list ( ret ) = = [ 1 , 2]"""
n = len ( self ) - n if n <= 0 : yield from self . items ( ) else : for i , e in enumerate ( self . items ( ) ) : if i == n : break yield e
def subdict ( super_dict , keys ) : """Returns a subset of the super _ dict with the specified keys ."""
sub_dict = { } valid_keys = super_dict . keys ( ) for key in keys : if key in valid_keys : sub_dict [ key ] = super_dict [ key ] return sub_dict
def _stringtie_expression ( bam , data , out_dir = "." ) : """only estimate expression the Stringtie , do not assemble new transcripts"""
gtf_file = dd . get_gtf_file ( data ) num_cores = dd . get_num_cores ( data ) error_message = "The %s file for %s is missing. StringTie has an error." stringtie = config_utils . get_program ( "stringtie" , data , default = "stringtie" ) # don ' t assemble transcripts unless asked exp_flag = ( "-e" if "stringtie" not in...
def add_ticks_to_x ( ax , newticks , newnames ) : """Add new ticks to an axis . I use this for the right - hand plotting of resonance names in my plots ."""
ticks = list ( ax . get_xticks ( ) ) ticks . extend ( newticks ) ax . set_xticks ( ticks ) names = list ( ax . get_xticklabels ( ) ) names . extend ( newnames ) ax . set_xticklabels ( names )
def coupleTo_vswitch ( userid , vswitch_name ) : """Couple to vswitch . Input parameters : : userid : USERID of the guest , last 8 if length > 8 : network _ info : dict of network info"""
print ( "\nCoupleing to vswitch for %s ..." % userid ) vswitch_info = client . send_request ( 'guest_nic_couple_to_vswitch' , userid , '1000' , vswitch_name ) if vswitch_info [ 'overallRC' ] : raise RuntimeError ( "Failed to couple to vswitch for guest %s!\n%s" % ( userid , vswitch_info ) ) else : print ( "Succ...
def _abbrieviate_direction ( ext_dir_str ) : """Convert extended ( non - abbrievated ) directions to abbrieviation ."""
return ( ext_dir_str . upper ( ) . replace ( '_' , '' ) . replace ( '-' , '' ) . replace ( ' ' , '' ) . replace ( 'NORTH' , 'N' ) . replace ( 'EAST' , 'E' ) . replace ( 'SOUTH' , 'S' ) . replace ( 'WEST' , 'W' ) )
def add_styles ( self , ** styles ) : """Add ODF styles to the current document ."""
for stylename in sorted ( styles ) : self . _doc . styles . addElement ( styles [ stylename ] )
def unix_time ( self , dt ) : """Returns the number of seconds since the UNIX epoch for the given datetime ( dt ) . PARAMETERS : dt - - datetime"""
epoch = datetime . utcfromtimestamp ( 0 ) delta = dt - epoch return int ( delta . total_seconds ( ) )
def Target_setAttachToFrames ( self , value ) : """Function path : Target . setAttachToFrames Domain : Target Method name : setAttachToFrames Parameters : Required arguments : ' value ' ( type : boolean ) - > Whether to attach to frames . No return value ."""
assert isinstance ( value , ( bool , ) ) , "Argument 'value' must be of type '['bool']'. Received type: '%s'" % type ( value ) subdom_funcs = self . synchronous_command ( 'Target.setAttachToFrames' , value = value ) return subdom_funcs
def labelset_heads ( self , label ) : """Return the heads of the labelset selected by * label * . Args : label : the label from which to find head nodes / EPs . Returns : An iterable of nodeids ."""
_eps = self . _eps _vars = self . _vars _hcons = self . _hcons nodeids = { nodeid : _eps [ nodeid ] [ 3 ] . get ( IVARG_ROLE , None ) for nodeid in _vars [ label ] [ 'refs' ] [ 'LBL' ] } if len ( nodeids ) <= 1 : return list ( nodeids ) scope_sets = { } for nid in nodeids : scope_sets [ nid ] = _ivs_in_scope ( ...
def _load_formatters ( module_name ) : """Load a formatter ( and all others in the module too ) ."""
mod = __import__ ( module_name , None , None , [ '__all__' ] ) for formatter_name in mod . __all__ : cls = getattr ( mod , formatter_name ) _formatter_cache [ cls . name ] = cls
async def checks ( self , service , * , dc = None , near = None , watch = None , consistency = None ) : """Returns the checks of a service Parameters : dc ( str ) : Specify datacenter that will be used . Defaults to the agent ' s local datacenter . near ( str ) : With a node name will sort the node list in ...
service_id = extract_attr ( service , keys = [ "ServiceID" , "ID" ] ) params = { "dc" : dc , "near" : near } response = await self . _api . get ( "/v1/health/checks" , service_id , params = params , watch = watch , consistency = consistency ) return consul ( response )
def find ( * args , ** kwargs ) : """kwargs supported : user : the username start _ at : start datetime object end _ at : end datetime object limit : # of objects to fetch"""
# default end _ at to now and start to 1 day from now end_at = kwargs . get ( 'end_at' , datetime . datetime . now ( ) ) start_at = kwargs . get ( 'start_at' , end_at - datetime . timedelta ( days = 1 ) ) # default # of records to fetch to be 50 limit = kwargs . get ( 'limit' , 50 ) # if no user is defined , fetch for ...
def encode_offset_fetch_request ( cls , group , payloads , from_kafka = False ) : """Encode an OffsetFetchRequest struct . The request is encoded using version 0 if from _ kafka is false , indicating a request for Zookeeper offsets . It is encoded using version 1 otherwise , indicating a request for Kafka off...
version = 1 if from_kafka else 0 return kafka . protocol . commit . OffsetFetchRequest [ version ] ( consumer_group = group , topics = [ ( topic , list ( topic_payloads . keys ( ) ) ) for topic , topic_payloads in six . iteritems ( group_by_topic_and_partition ( payloads ) ) ] )
def _get_vm_by_id ( vmid , allDetails = False ) : '''Retrieve a VM based on the ID .'''
for vm_name , vm_details in six . iteritems ( get_resources_vms ( includeConfig = allDetails ) ) : if six . text_type ( vm_details [ 'vmid' ] ) == six . text_type ( vmid ) : return vm_details log . info ( 'VM with ID "%s" could not be found.' , vmid ) return False
def is_right_model ( instance , attribute , value ) : """Must include at least the ` ` source ` ` and ` ` license ` ` keys , but not a ` ` rightsOf ` ` key ( ` ` source ` ` indicates that the Right is derived from and allowed by a source Right ; it cannot contain the full rights to a Creation ) ."""
for key in [ 'source' , 'license' ] : key_value = value . get ( key ) if not isinstance ( key_value , str ) : instance_name = instance . __class__ . __name__ raise ModelDataError ( ( "'{key}' must be given as a string in " "the '{attr}' parameter of a '{cls}'. Given " "'{value}'" ) . format ( ke...
def parse_irreg ( self , l ) : """Constructeur de la classe Irreg . : param l : Ligne de chargement des irréguliers : type l : str"""
ecl = l . split ( ':' ) grq = ecl [ 0 ] exclusif = False if grq . endswith ( "*" ) : grq = grq [ : - 1 ] exclusif = True return Irreg ( graphie_accentuee = grq , graphie = atone ( grq ) , exclusif = exclusif , morphos = listeI ( ecl [ 2 ] ) , lemme = self . lemmatiseur . lemme ( ecl [ 1 ] ) , parent = self . le...
def PCA ( Y , components ) : """run PCA , retrieving the first ( components ) principle components return [ s0 , eig , w0] s0 : factors w0 : weights"""
N , D = Y . shape sv = linalg . svd ( Y , full_matrices = 0 ) ; [ s0 , w0 ] = [ sv [ 0 ] [ : , 0 : components ] , np . dot ( np . diag ( sv [ 1 ] ) , sv [ 2 ] ) . T [ : , 0 : components ] ] v = s0 . std ( axis = 0 ) s0 /= v ; w0 *= v ; return [ s0 , w0 ] if N > D : sv = linalg . svd ( Y , full_matrices = 0 ) ; ...
def get_os_file_names ( files ) : """returns file names : param files : list of strings and \\ or : class : ` file _ configuration _ t ` instances . : type files : list"""
fnames = [ ] for f in files : if utils . is_str ( f ) : fnames . append ( f ) elif isinstance ( f , file_configuration_t ) : if f . content_type in ( file_configuration_t . CONTENT_TYPE . STANDARD_SOURCE_FILE , file_configuration_t . CONTENT_TYPE . CACHED_SOURCE_FILE ) : fnames . app...
def valid_fits_key ( key ) : """Makes valid key for a FITS header " The keyword names may be up to 8 characters long and can only contain uppercase letters A to Z , the digits 0 to 9 , the hyphen , and the underscore character . " ( http : / / fits . gsfc . nasa . gov / fits _ primer . html )"""
ret = re . sub ( "[^A-Z0-9\-_]" , "" , key . upper ( ) ) [ : 8 ] if len ( ret ) == 0 : raise RuntimeError ( "key '{0!s}' has no valid characters to be a key in a FITS header" . format ( key ) ) return ret
def wait_script ( name , source = None , template = None , onlyif = None , unless = None , cwd = None , runas = None , shell = None , env = None , stateful = False , umask = None , use_vt = False , output_loglevel = 'debug' , hide_output = False , success_retcodes = None , success_stdout = None , success_stderr = None ...
# Ignoring our arguments is intentional . return { 'name' : name , 'changes' : { } , 'result' : True , 'comment' : '' }
def listen_on_udp_port ( ) : """listen _ on _ udp _ port Run a simple server for processing messages over ` ` UDP ` ` . ` ` UDP _ LISTEN _ ON _ HOST ` ` - listen on this host ip address ` ` UDP _ LISTEN _ ON _ PORT ` ` - listen on this ` ` UDP ` ` port ` ` UDP _ LISTEN _ SIZE ` ` - listen on to packets of t...
host = os . getenv ( "UDP_LISTEN_ON_HOST" , "127.0.0.1" ) . strip ( ) . lstrip ( ) port = int ( os . getenv ( "UDP_LISTEN_ON_PORT" , "17000" ) . strip ( ) . lstrip ( ) ) backlog = int ( os . getenv ( "UDP_LISTEN_BACKLOG" , "5" ) . strip ( ) . lstrip ( ) ) size = int ( os . getenv ( "UDP_LISTEN_SIZE" , "1024" ) . strip ...
def _set_auditlog ( self , v , load = False ) : """Setter method for auditlog , mapped from YANG variable / logging / auditlog ( container ) If this variable is read - only ( config : false ) in the source YANG file , then _ set _ auditlog is considered as a private method . Backends looking to populate this ...
if hasattr ( v , "_utype" ) : v = v . _utype ( v ) try : t = YANGDynClass ( v , base = auditlog . auditlog , is_container = 'container' , presence = False , yang_name = "auditlog" , rest_name = "auditlog" , parent = self , path_helper = self . _path_helper , extmethods = self . _extmethods , register_paths = Tr...
def write ( self , output ) : """Writes specified text to the underlying stream Parameters output bytes - like object Bytes to write"""
self . _stream . write ( output ) if self . _auto_flush : self . _stream . flush ( )
def _isna_compat ( arr , fill_value = np . nan ) : """Parameters arr : a numpy array fill _ value : fill value , default to np . nan Returns True if we can fill using this fill _ value"""
dtype = arr . dtype if isna ( fill_value ) : return not ( is_bool_dtype ( dtype ) or is_integer_dtype ( dtype ) ) return True
def addOntology ( self ) : """Adds a new Ontology to this repo ."""
self . _openRepo ( ) name = self . _args . name filePath = self . _getFilePath ( self . _args . filePath , self . _args . relativePath ) if name is None : name = getNameFromPath ( filePath ) ontology = ontologies . Ontology ( name ) ontology . populateFromFile ( filePath ) self . _updateRepo ( self . _repo . insert...
def register_click_watcher ( self , watcher_name , selectors , * condition_list ) : """The watcher click on the object which has the * selectors * when conditions match ."""
watcher = self . device . watcher ( watcher_name ) for condition in condition_list : watcher . when ( ** self . __unicode_to_dict ( condition ) ) watcher . click ( ** self . __unicode_to_dict ( selectors ) ) self . device . watchers . run ( )
def getClass ( self , tryImport = True ) : """Gets the underlying class . Tries to import if tryImport is True ( the default ) . Returns None if the import has failed ( the exception property will contain the reason )"""
if not self . triedImport and tryImport : self . tryImportClass ( ) return self . _cls
def linear ( arr1 , arr2 ) : """Create a linear blend of arr1 ( fading out ) and arr2 ( fading in )"""
n = N . shape ( arr1 ) [ 0 ] try : channels = N . shape ( arr1 ) [ 1 ] except : channels = 1 f_in = N . linspace ( 0 , 1 , num = n ) f_out = N . linspace ( 1 , 0 , num = n ) # f _ in = N . arange ( n ) / float ( n - 1) # f _ out = N . arange ( n - 1 , - 1 , - 1 ) / float ( n ) if channels > 1 : f_in = N . t...
def generate ( self , M , age = 9.6 , feh = 0.0 , ichrone = 'mist' , n = 1e4 , bands = None , ** kwargs ) : """Function that generates population . Called by ` ` _ _ init _ _ ` ` if ` ` M ` ` is passed ."""
ichrone = get_ichrone ( ichrone , bands = bands ) if np . size ( M ) > 1 : n = np . size ( M ) else : n = int ( n ) M2 = M * self . q_fn ( n , qmin = np . maximum ( self . qmin , self . minmass / M ) ) P = self . P_fn ( n ) ecc = self . ecc_fn ( n , P ) mass = np . ascontiguousarray ( np . ones ( n ) * M ) mass...
def create ( self , path , metadata , filter_ = filter_hidden , object_class = None ) : """Create objects in CDSTAR and register them in the catalog . Note that we guess the mimetype based on the filename extension , using ` mimetypes . guess _ type ` . Thus , it is the caller ' s responsibility to add custom o...
path = Path ( path ) if path . is_file ( ) : fnames = [ path ] elif path . is_dir ( ) : fnames = list ( walk ( path , mode = 'files' ) ) else : raise ValueError ( 'path must be a file or directory' ) # pragma : no cover for fname in fnames : if not filter_ or filter_ ( fname ) : created , ob...
def compile_column ( name : str , data_type : str , nullable : bool ) -> str : """Create column definition statement ."""
null_str = 'NULL' if nullable else 'NOT NULL' return '{name} {data_type} {null},' . format ( name = name , data_type = data_type , null = null_str )
def named_tuple_factory ( colnames , rows ) : """Returns each row as a ` namedtuple < https : / / docs . python . org / 2 / library / collections . html # collections . namedtuple > ` _ . This is the default row factory . Example : : > > > from cassandra . query import named _ tuple _ factory > > > session ...
clean_column_names = map ( _clean_column_name , colnames ) try : Row = namedtuple ( 'Row' , clean_column_names ) except SyntaxError : warnings . warn ( "Failed creating namedtuple for a result because there were too " "many columns. This is due to a Python limitation that affects " "namedtuple in Python 3.0-3.6...
def p_declarray ( self , p ) : 'declname : ID length'
p [ 0 ] = ( p [ 1 ] , p [ 2 ] ) p . set_lineno ( 0 , p . lineno ( 1 ) )
def get_objectives_by_ids ( self , objective_ids ) : """Gets an ` ` ObjectiveList ` ` corresponding to the given ` ` IdList ` ` . In plenary mode , the returned list contains all of the objectives specified in the ` ` Id ` ` list , in the order of the list , including duplicates , or an error results if an ` ...
# Implemented from template for # osid . resource . ResourceLookupSession . get _ resources _ by _ ids # NOTE : This implementation currently ignores plenary view collection = JSONClientValidated ( 'learning' , collection = 'Objective' , runtime = self . _runtime ) object_id_list = [ ] for i in objective_ids : obje...
def write_force_constants_to_hdf5 ( force_constants , filename = 'force_constants.hdf5' , p2s_map = None , physical_unit = None , compression = None ) : """Write force constants in hdf5 format . Parameters force _ constants : ndarray Force constants shape = ( n _ satom , n _ satom , 3,3 ) or ( n _ patom , n...
try : import h5py except ImportError : raise ModuleNotFoundError ( "You need to install python-h5py." ) with h5py . File ( filename , 'w' ) as w : w . create_dataset ( 'force_constants' , data = force_constants , compression = compression ) if p2s_map is not None : w . create_dataset ( 'p2s_map'...
def load_template ( self , template_name , template_source = None , template_path = None , ** template_vars ) : """Will load a templated configuration on the device . : param cls : Instance of the driver class . : param template _ name : Identifies the template name . : param template _ source ( optional ) : ...
return napalm . base . helpers . load_template ( self , template_name , template_source = template_source , template_path = template_path , ** template_vars )
def set_camera ( self , camera_id ) : """Set the camera view to the specified camera ID ."""
self . viewer . cam . fixedcamid = camera_id self . viewer . cam . type = const . CAMERA_FIXED
def change_mpl_backend ( self , command ) : """If the user is trying to change Matplotlib backends with % matplotlib , send the same command again to the kernel to correctly change it . Fixes issue 4002"""
if command . startswith ( '%matplotlib' ) and len ( command . splitlines ( ) ) == 1 : if not 'inline' in command : self . silent_execute ( command )
def lambda_handler ( event , context ) : """Main handler ."""
users = boto3 . resource ( "dynamodb" ) . Table ( os . environ [ 'people' ] ) auth = check_auth ( event , role = [ "admin" ] ) if not auth [ 'success' ] : return auth user_email = event . get ( 'user_email' , None ) if not user_email : msg = "Missing user_email parameter in your request." return { 'success'...
def load_depth ( self , idx ) : """Load pre - processed depth for NYUDv2 segmentation set ."""
im = Image . open ( '{}/data/depth/img_{}.png' . format ( self . nyud_dir , idx ) ) d = np . array ( im , dtype = np . float32 ) d = np . log ( d ) d -= self . mean_logd d = d [ np . newaxis , ... ] return d
def prod_sum_var ( A , B ) : """dot product and sum over axis 1 ( var ) equivalent to np . sum ( A * B , 1)"""
return A . multiply ( B ) . sum ( 1 ) . A1 if issparse ( A ) else np . einsum ( 'ij, ij -> i' , A , B )
def export ( self , top = True ) : """Exports object to its string representation . Args : top ( bool ) : if True appends ` internal _ name ` before values . All non list objects should be exported with value top = True , all list objects , that are embedded in as fields inlist objects should be exported ...
out = [ ] if top : out . append ( self . _internal_name ) out . append ( self . _to_str ( self . holiday_name ) ) out . append ( self . _to_str ( self . holiday_day ) ) return "," . join ( out )
def _handle_oss_error ( ) : """Handle OSS exception and convert to class IO exceptions Raises : OSError subclasses : IO error ."""
try : yield except _OssError as exception : if exception . status in _ERROR_CODES : raise _ERROR_CODES [ exception . status ] ( exception . details . get ( 'Message' , '' ) ) raise
def iter_grants ( self , as_json = True ) : """Fetch grants from a remote OAI - PMH endpoint . Return the Sickle - provided generator object ."""
records = self . client . ListRecords ( metadataPrefix = 'oaf' , set = self . setspec ) for rec in records : try : grant_out = rec . raw # rec . raw is XML if as_json : grant_out = self . grantxml2json ( grant_out ) yield grant_out except FunderNotFoundError as e : ...
def String ( length = None , ** kwargs ) : """A string valued property with max . ` length ` ."""
return Property ( length = length , types = stringy_types , convert = to_string , ** kwargs )
def get_topics ( self ) : '''Returns the topics available on unbabel'''
result = self . api_call ( 'topic/' ) topics_json = json . loads ( result . content ) topics = [ Topic ( name = topic_json [ "topic" ] [ "name" ] ) for topic_json in topics_json [ "objects" ] ] return topics
def import_vol_mesh ( file_name ) : """Generates a NURBS volume object from a mesh file . : param file _ name : input mesh file : type file _ name : str : return : a NURBS volume : rtype : NURBS . Volume"""
raw_content = read_file ( file_name ) raw_content = raw_content . split ( "\n" ) content = [ ] for rc in raw_content : temp = rc . strip ( ) . split ( ) content . append ( temp ) # 1st line defines the dimension and it must be 3 if int ( content [ 0 ] [ 0 ] ) != 3 : raise TypeError ( "Input mesh '" + str ( ...
def receive_minimum_set ( self , amount ) : """Set * * amount * * as new receive minimum for node until restart . . enable _ control required . . version 8.0 required : param amount : Amount in raw to set as minimum to receive : type amount : int : raises : : py : exc : ` nano . rpc . RPCException ` > >...
amount = self . _process_value ( amount , 'int' ) payload = { "amount" : amount } resp = self . call ( 'receive_minimum_set' , payload ) return 'success' in resp
def GenerateLabels ( self , hash_information ) : """Generates a list of strings that will be used in the event tag . Args : hash _ information ( dict [ str , object ] ) : JSON decoded contents of the result of a Viper lookup , as produced by the ViperAnalyzer . Returns : list [ str ] : list of labels to a...
if not hash_information : return [ 'viper_not_present' ] projects = [ ] tags = [ ] for project , entries in iter ( hash_information . items ( ) ) : if not entries : continue projects . append ( project ) for entry in entries : if entry [ 'tags' ] : tags . extend ( entry [ 'ta...
def actionsFreqsAngles ( self , * args , ** kwargs ) : """NAME : actionsFreqsAngles PURPOSE : evaluate the actions , frequencies , and angles ( jr , lz , jz , Omegar , Omegaphi , Omegaz , angler , anglephi , anglez ) INPUT : Either : a ) R , vR , vT , z , vz , phi : 1 ) floats : phase - space value fo...
try : return self . _actionsFreqsAngles ( * args , ** kwargs ) except AttributeError : # pragma : no cover raise NotImplementedError ( "'actionsFreqsAngles' method not implemented for this actionAngle module" )
def visible_object_layers ( self ) : """This must return layer objects This is not required for custom data formats . : return : Sequence of pytmx object layers / groups"""
return ( layer for layer in self . tmx . visible_layers if isinstance ( layer , pytmx . TiledObjectGroup ) )
def position_permutation ( obs_stat , context_counts , context_to_mut , seq_context , gene_seq , gene_vest = None , num_permutations = 10000 , stop_criteria = 100 , pseudo_count = 0 , max_batch = 25000 ) : """Performs null - permutations for position - based mutation statistics in a single gene . Parameters o...
# get contexts and somatic base mycontexts = context_counts . index . tolist ( ) somatic_base = [ base for one_context in mycontexts for base in context_to_mut [ one_context ] ] # calculate the # of batches for simulations max_batch = min ( num_permutations , max_batch ) num_batches = num_permutations // max_batch rema...
def request_check_all ( self , wait_time = 5 ) : """Wake all monitors , wait for at least one to check its server ."""
with self . _lock : self . _request_check_all ( ) self . _condition . wait ( wait_time )
def read_long ( self , registeraddress , functioncode = 3 , signed = False ) : """Read a long integer ( 32 bits ) from the slave . Long integers ( 32 bits = 4 bytes ) are stored in two consecutive 16 - bit registers in the slave . Args : * registeraddress ( int ) : The slave register start address ( use decim...
_checkFunctioncode ( functioncode , [ 3 , 4 ] ) _checkBool ( signed , description = 'signed' ) return self . _genericCommand ( functioncode , registeraddress , numberOfRegisters = 2 , signed = signed , payloadformat = 'long' )
def tree_adj_to_prec ( graph , root = 0 ) : """Transforms a tree given as adjacency list into predecessor table form . if graph is not a tree : will return a DFS spanning tree : param graph : directed graph in listlist or listdict format : returns : tree in predecessor table representation : complexity : li...
prec = [ None ] * len ( graph ) prec [ root ] = root # mark to visit root only once to_visit = [ root ] while to_visit : # DFS node = to_visit . pop ( ) for neighbor in graph [ node ] : if prec [ neighbor ] is None : prec [ neighbor ] = node to_visit . append ( neighbor ) prec [ ...
def get ( self , key , default = None ) : """Retrieve an item from the cache by key . : param key : The cache key : type key : str : param default : The default value to return : type default : mixed : rtype : mixed"""
val = self . _store . get ( key ) if val is None : return value ( default ) return val
def assert_visible ( self , locator , msg = None ) : """Hard assert for whether and element is present and visible in the current window / frame : params locator : the locator of the element to search for : params msg : ( Optional ) msg explaining the difference"""
e = driver . find_elements_by_locator ( locator ) if len ( e ) == 0 : raise AssertionError ( "Element at %s was not found" % locator ) assert e . is_displayed ( )
def create_widget ( self ) : """Create the underlying widget ."""
d = self . declaration self . widget = Flexbox ( self . get_context ( ) , None , d . style )
def do_allowrep ( self , line ) : """allowrep Allow new objects to be replicated ."""
self . _split_args ( line , 0 , 0 ) self . _command_processor . get_session ( ) . get_replication_policy ( ) . set_replication_allowed ( True ) self . _print_info_if_verbose ( "Set replication policy to allow replication" )
def set_single_attribute ( self , other , trigger_klass , property_name ) : """Used to set guard the setting of an attribute which is singular and can ' t be set twice"""
if isinstance ( other , trigger_klass ) : # Check property exists if not hasattr ( self , property_name ) : raise AttributeError ( "%s has no property %s" % ( self . __class__ . __name__ , property_name ) ) if getattr ( self , property_name ) is None : setattr ( self , property_name , other ) ...
def delete_datapoint ( self , datapoint ) : """Delete the provided datapoint from this stream : raises devicecloud . DeviceCloudHttpException : in the case of an unexpected http error"""
datapoint = validate_type ( datapoint , DataPoint ) self . _conn . delete ( "/ws/DataPoint/{stream_id}/{datapoint_id}" . format ( stream_id = self . get_stream_id ( ) , datapoint_id = datapoint . get_id ( ) , ) )
def draw ( self ) : '''Draws samples from the ` true ` distribution . Returns : ` np . ndarray ` of samples .'''
sampled_arr = np . empty ( ( self . __batch_size , self . __seq_len , self . __dim ) ) for batch in range ( self . __batch_size ) : key = np . random . randint ( low = 0 , high = len ( self . __midi_df_list ) ) midi_df = self . __midi_df_list [ key ] program_arr = midi_df . program . drop_duplicates ( ) . v...
def get_annotation ( self , key , result_format = 'list' ) : """Is a convenience method for accessing annotations on models that have them"""
value = self . get ( '_annotations_by_key' , { } ) . get ( key ) if not value : return value if result_format == 'one' : return value [ 0 ] return value
def setUser ( self , * args , ** kwargs ) : """Adds the user for this loan to a ' user ' field . User is a MambuUser object . Returns the number of requests done to Mambu ."""
try : user = self . mambuuserclass ( entid = self [ 'assignedUserKey' ] , * args , ** kwargs ) except KeyError as kerr : err = MambuError ( "La cuenta %s no tiene asignado un usuario" % self [ 'id' ] ) err . noUser = True raise err except AttributeError as ae : from . mambuuser import MambuUser ...
def discover ( name , timeout = None , minimum_providers = 1 ) : """discovers a service . If timeout is specified , waits for at least minimum _ providers service instance to be available . Note : we do not want to make the discovery block undefinitely since we never know for sure if a service is running or not ...
start = time . time ( ) endtime = timeout if timeout else 0 while True : timed_out = time . time ( ) - start > endtime if name in services and isinstance ( services [ name ] , list ) : if len ( services [ name ] ) >= minimum_providers or timed_out : providers = services [ name ] ...
def iterate ( self , params , repetition , iteration ) : """Called once for each training iteration ( = = epoch here ) ."""
print ( "\nStarting iteration" , iteration ) print ( "Learning rate:" , self . learningRate if self . lr_scheduler is None else self . lr_scheduler . get_lr ( ) ) t1 = time . time ( ) ret = { } # Update dataset epoch when using pre - processed speech dataset if self . use_preprocessed_dataset : t2 = time . time ( )...
def get_unique_named_object_in_all_models ( root , name ) : """retrieves a unique named object ( no fully qualified name ) Args : root : start of search ( if root is a model all known models are searched as well ) name : name of object Returns : the object ( if not unique , raises an error )"""
if hasattr ( root , '_tx_model_repository' ) : src = list ( root . _tx_model_repository . local_models . filename_to_model . values ( ) ) if root not in src : src . append ( root ) else : src = [ root ] a = [ ] for m in src : print ( "analyzing {}" . format ( m . _tx_filename ) ) a = a + get...
def blacklist ( ctx , blacklist_account , account ) : """Add an account to a blacklist"""
account = Account ( account , blockchain_instance = ctx . blockchain ) print_tx ( account . blacklist ( blacklist_account ) )
def _apply_section_hosts ( self , section , hosts ) : """Add the variables for each entry in a ' hosts ' section to the hosts belonging to that entry ."""
for entry in section [ 'entries' ] : for hostname in self . expand_hostdef ( entry [ 'name' ] ) : if hostname not in hosts : # Expanded host or child host or something else refers to a # host that isn ' t actually defined . Ansible skips this , so # we will too . continue ...
def get_app_name ( app_name ) : """Returns a app name from new app config if is a class or the same app name if is not a class ."""
type_ = locate ( app_name ) if inspect . isclass ( type_ ) : return type_ . name return app_name
def set_features ( self , partition = 1 ) : """Parses market data JSON for technical analysis indicators Args : partition : Int of how many dates to take into consideration when evaluating technical analysis indicators . Returns : Pandas DataFrame instance with columns as numpy . float32 features ."""
if len ( self . json ) < partition + 1 : raise ValueError ( 'Not enough dates for the specified partition size: {0}. Try a smaller partition.' . format ( partition ) ) data = [ ] for offset in range ( len ( self . json ) - partition ) : json = self . json [ offset : offset + partition ] data . append ( eva...
def update_hash ( a_hash , mv ) : """Adds ` ` mv ` ` to ` ` a _ hash ` ` Args : a _ hash ( ` Hash ` ) : the secure hash , e . g created by hashlib . md5 mv ( : class : ` MetricValue ` ) : the instance to add to the hash"""
if mv . labels : signing . add_dict_to_hash ( a_hash , encoding . MessageToPyValue ( mv . labels ) ) money_value = mv . get_assigned_value ( u'moneyValue' ) if money_value is not None : a_hash . update ( b'\x00' ) a_hash . update ( money_value . currencyCode . encode ( 'utf-8' ) )
def locales ( self , query = None ) : """Fetches all Locales from the Environment ( up to the set limit , can be modified in ` query ` ) . # TODO : fix url API Reference : https : / / www . contentful . com / developers / docs / references / content - delivery - api / # / reference / assets / assets - collectio...
if query is None : query = { } return self . _get ( self . environment_url ( '/locales' ) , query )
def comment_handle ( self , original , loc , tokens ) : """Store comment in comments ."""
internal_assert ( len ( tokens ) == 1 , "invalid comment tokens" , tokens ) ln = self . adjust ( lineno ( loc , original ) ) internal_assert ( lambda : ln not in self . comments , "multiple comments on line" , ln ) self . comments [ ln ] = tokens [ 0 ] return ""
def list ( self ) : """Lists the jobs on the server ."""
queue = self . _get_queue ( ) if queue is None : raise QueueDoesntExist output = self . check_output ( '%s' % shell_escape ( queue / 'commands/list' ) ) job_id , info = None , None for line in output . splitlines ( ) : line = line . decode ( 'utf-8' ) if line . startswith ( ' ' ) : key , value = ...
def create_residual_graph ( self ) : '''API : create _ residual _ graph ( self ) Description : Creates and returns residual graph , which is a Graph instance itself . Pre : (1 ) Arcs should have ' flow ' , ' capacity ' and ' cost ' attribute (2 ) Graph should be a directed graph Return : Returns res...
if self . graph_type is UNDIRECTED_GRAPH : raise Exception ( 'residual graph is defined for directed graphs.' ) residual_g = Graph ( type = DIRECTED_GRAPH ) for e in self . get_edge_list ( ) : capacity_e = self . get_edge_attr ( e [ 0 ] , e [ 1 ] , 'capacity' ) flow_e = self . get_edge_attr ( e [ 0 ] , e [ ...
def collect ( self , file_paths ) : """Takes in a list of string file _ paths , and parses through them using the converter , strategies , and switches defined at object initialization . It returns two dictionaries - the first maps from file _ path strings to inner dictionaries , and those inner dictionarie...
for file_path in file_paths : self . _anchors [ file_path ] , d = self . collect_single_file ( file_path ) if len ( d ) > 0 : # There were duplicates found in the file self . _duplicate_tags [ file_path ] = d self . _reset_switches ( ) return self . _anchors , self . _duplicate_tags
def upload_status ( self , upload_id ) : """The method is checking status of uploaded dataset"""
path = '/api/1.0/upload/status' query = 'id={}' . format ( upload_id ) return self . _api_get ( definition . DatasetUploadStatusResponse , path , query )
def apply_timefactor ( cls , values ) : """Change and return the given value ( s ) in accordance with | Parameter . get _ timefactor | and the type of time - dependence of the actual parameter subclass . . . testsetup : : > > > from hydpy import pub > > > del pub . timegrids For the same conversion fact...
if cls . TIME is True : return values * cls . get_timefactor ( ) if cls . TIME is False : return values / cls . get_timefactor ( ) return values
def export_to_fta ( self , sample_rate , filename : str , include_amplitude = False ) : """Export to Frequency , Time , Amplitude file . Frequency is double , Time ( nanosecond ) is uint32 , Amplitude is float32 : return :"""
spectrogram = self . __calculate_spectrogram ( self . samples ) spectrogram = np . flipud ( spectrogram . T ) if include_amplitude : result = np . empty ( ( spectrogram . shape [ 0 ] , spectrogram . shape [ 1 ] , 3 ) , dtype = [ ( 'f' , np . float64 ) , ( 't' , np . uint32 ) , ( 'a' , np . float32 ) ] ) else : ...
def process_image_field ( self , data ) : """Process perseus fields like questions and hints , which look like : . . code - block : : python " content " : " md string including imgs like ! [ ] ( URL - key ) and ! [ ] ( URL - key2 ) " , " images " : { " URL - key " : { " width " : 425 , " height " : 425 } , ...
new_images_dict = copy . deepcopy ( data [ 'images' ] ) image_files = [ ] # STEP 1 . Compile dict of { old _ url - - > new _ url } image URL replacements image_replacements = { } # STEP 1A . get all images specified in data [ ' images ' ] for old_url , image_settings in data [ 'images' ] . items ( ) : new_url , new...
def prepare_partial ( self , X , initialization = "median" , k = 25 , ** affinity_params ) : """Prepare a partial embedding which can be optimized . Parameters X : np . ndarray The data matrix to be added to the existing embedding . initialization : Union [ np . ndarray , str ] The initial point positions...
P , neighbors , distances = self . affinities . to_new ( X , return_distances = True , ** affinity_params ) # If initial positions are given in an array , use a copy of that if isinstance ( initialization , np . ndarray ) : init_checks . num_samples ( initialization . shape [ 0 ] , X . shape [ 0 ] ) init_checks...
def get_FEC ( molecule_list , temperature , pressure , electronic_energy = 'Default' ) : """Returns the Gibbs free energy corrections to be added to raw reaction energies . Parameters molecule _ list : list of strings temperature : numeric temperature in K pressure : numeric pressure in mbar Returns ...
if not temperature or not pressure : return ( 0 ) else : molecule_list = [ m for m in molecule_list if m != 'star' ] # print ( molecule _ list ) FEC_sum = [ ] for molecule in molecule_list : if 'gas' in molecule : mol = GasMolecule ( molecule . replace ( 'gas' , '' ) ) ...
def uncollapse ( self ) : """Uncollapse a private message or modmail ."""
url = self . reddit_session . config [ 'uncollapse_message' ] self . reddit_session . request_json ( url , data = { 'id' : self . name } )
def handle_get_scanner_details ( self ) : """Handles < get _ scanner _ details > command . @ return : Response string for < get _ scanner _ details > command ."""
desc_xml = Element ( 'description' ) desc_xml . text = self . get_scanner_description ( ) details = [ desc_xml , self . get_scanner_params_xml ( ) ] return simple_response_str ( 'get_scanner_details' , 200 , 'OK' , details )
def _windows_resolve ( command ) : """Try and find the full path and file extension of the executable to run . This is so that e . g . calls to ' somescript ' will point at ' somescript . cmd ' without the need to set shell = True in the subprocess . If the executable contains periods it is a special case . H...
try : import win32api except ImportError : if ( 2 , 8 ) < sys . version_info < ( 3 , 5 ) : logger . info ( "Resolving executable names only supported on Python 2.7 and 3.5+" ) else : logger . warning ( "Could not resolve executable name: package win32api missing" ) return command if not ...
def add_val ( self , subj : Node , pred : URIRef , json_obj : JsonObj , json_key : str , valuetype : Optional [ URIRef ] = None ) -> Optional [ BNode ] : """Add the RDF representation of val to the graph as a target of subj , pred . Note that FHIR lists are represented as a list of BNODE objects with a fhir : ind...
if json_key not in json_obj : print ( "Expecting to find object named '{}' in JSON:" . format ( json_key ) ) print ( json_obj . _as_json_dumps ( ) ) print ( "entry skipped" ) return None val = json_obj [ json_key ] if isinstance ( val , List ) : list_idx = 0 for lv in val : entry_bnode =...
def forecast_names ( self ) : """get the forecast names from the pestpp options ( if any ) . Returns None if no forecasts are named Returns forecast _ names : list a list of forecast names ."""
if "forecasts" in self . pestpp_options . keys ( ) : return self . pestpp_options [ "forecasts" ] . lower ( ) . split ( ',' ) elif "predictions" in self . pestpp_options . keys ( ) : return self . pestpp_options [ "predictions" ] . lower ( ) . split ( ',' ) else : return None
def interfaces ( self ) : """Collect the available wlan interfaces ."""
self . _ifaces = [ ] wifi_ctrl = wifiutil . WifiUtil ( ) for interface in wifi_ctrl . interfaces ( ) : iface = Interface ( interface ) self . _ifaces . append ( iface ) self . _logger . info ( "Get interface: %s" , iface . name ( ) ) if not self . _ifaces : self . _logger . error ( "Can't get wifi inter...
def update_table_row ( self , table , row_idx ) : """Add this instance as a row on a ` astropy . table . Table `"""
try : table [ row_idx ] [ 'timestamp' ] = self . timestamp table [ row_idx ] [ 'status' ] = self . status except IndexError : print ( "Index error" , len ( table ) , row_idx )
def run ( self , refant = [ ] , antsel = [ ] , uvrange = '' , fluxname = '' , fluxname_full = '' , band = '' , spw0 = '' , spw1 = '' , flaglist = [ ] ) : """Run calibration pipeline . Assumes L - band . refant is list of antenna name strings ( e . g . , [ ' ea10 ' ] ) . default is to calculate based on distance f...
os . chdir ( self . workdir ) if not len ( refant ) : refant = self . find_refants ( ) antposname = self . fileroot + '.antpos' # antpos delayname = self . fileroot + '.delay' # delay cal g0name = self . fileroot + '.g0' # initial gain correction before bp b1name = self . fileroot + '.b1' # bandpass file g1name = s...
def get_app ( self ) : """Get current app from Flast stack to use . This will allow to ensure which Redis connection to be used when accessing Redis connection public methods via plugin ."""
# First see to connection stack ctx = connection_stack . top if ctx is not None : return ctx . app # Next return app from instance cache if self . app is not None : return self . app # Something went wrong , in most cases app just not instantiated yet # and we cannot locate it raise RuntimeError ( 'Flask applic...
def _should_split_cell ( cls , cell_text : str ) -> bool : """Checks whether the cell should be split . We ' re just doing the same thing that SEMPRE did here ."""
if ', ' in cell_text or '\n' in cell_text or '/' in cell_text : return True return False
def add_entity_errors ( self , property_name , direct_errors = None , schema_errors = None ) : """Attach nested entity errors Accepts a list errors coming from validators attached directly , or a dict of errors produced by a nested schema . : param property _ name : str , property name : param direct _ erro...
if direct_errors is None and schema_errors is None : return self # direct errors if direct_errors is not None : if property_name not in self . errors : self . errors [ property_name ] = dict ( ) if 'direct' not in self . errors [ property_name ] : self . errors [ property_name ] [ 'direct' ]...
def interpret_maskval ( paramDict ) : """Apply logic for interpreting final _ maskval value . . ."""
# interpret user specified final _ maskval value to use for initializing # output SCI array . . . if 'maskval' not in paramDict : return 0 maskval = paramDict [ 'maskval' ] if maskval is None : maskval = np . nan else : maskval = float ( maskval ) # just to be clear and absolutely sure . . . return mask...
def save_config ( self , cmd = "write mem" , confirm = False , confirm_response = "" ) : """Save config : write mem"""
return super ( OneaccessOneOSBase , self ) . save_config ( cmd = cmd , confirm = confirm , confirm_response = confirm_response )