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def init_kernel ( self ) : '''Initializes the covariance matrix with a guess at the GP kernel parameters .'''
if self . kernel_params is None : X = self . apply_mask ( self . fpix / self . flux . reshape ( - 1 , 1 ) ) y = self . apply_mask ( self . flux ) - np . dot ( X , np . linalg . solve ( np . dot ( X . T , X ) , np . dot ( X . T , self . apply_mask ( self . flux ) ) ) ) white = np . nanmedian ( [ np . nanstd ...
def normalize ( self , bias_range = 1 , quadratic_range = None , ignored_variables = None , ignored_interactions = None , ignore_offset = False ) : """Normalizes the biases of the binary quadratic model such that they fall in the provided range ( s ) , and adjusts the offset appropriately . If ` quadratic _ ran...
def parse_range ( r ) : if isinstance ( r , Number ) : return - abs ( r ) , abs ( r ) return r def min_and_max ( iterable ) : if not iterable : return 0 , 0 return min ( iterable ) , max ( iterable ) if ignored_variables is None : ignored_variables = set ( ) elif not isinstance ( ign...
def format ( self , format_str ) : """Returns a formatted version of format _ str . The only named replacement fields supported by this method and their corresponding API calls are : * { num } group _ num * { name } group _ name * { symbol } group _ symbol * { variant } group _ variant * { current _ d...
return format_str . format ( ** { "num" : self . group_num , "name" : self . group_name , "symbol" : self . group_symbol , "variant" : self . group_variant , "current_data" : self . group_data , "count" : self . groups_count , "names" : self . groups_names , "symbols" : self . groups_symbols , "variants" : self . group...
def build_network_settings ( ** settings ) : '''Build the global network script . CLI Example : . . code - block : : bash salt ' * ' ip . build _ network _ settings < settings >'''
# Read current configuration and store default values current_network_settings = _parse_rh_config ( _RH_NETWORK_FILE ) # Build settings opts = _parse_network_settings ( settings , current_network_settings ) try : template = JINJA . get_template ( 'network.jinja' ) except jinja2 . exceptions . TemplateNotFound : ...
def element ( self , inp = None ) : """Return a complex number from ` ` inp ` ` or from scratch ."""
if inp is not None : # Workaround for missing _ _ complex _ _ of numpy . ndarray # for Numpy version < 1.12 # TODO : remove when Numpy > = 1.12 is required if isinstance ( inp , np . ndarray ) : return complex ( inp . reshape ( [ 1 ] ) [ 0 ] ) else : return complex ( inp ) else : return comp...
def friendly_number ( self , value : int ) -> str : """Returns a comma - separated number for the given integer ."""
if self . code not in ( "en" , "en_US" ) : return str ( value ) s = str ( value ) parts = [ ] while s : parts . append ( s [ - 3 : ] ) s = s [ : - 3 ] return "," . join ( reversed ( parts ) )
def write_compounds ( self , stream , compounds , properties = None ) : """Write iterable of compounds as YAML object to stream . Args : stream : File - like object . compounds : Iterable of compound entries . properties : Set of compound properties to output ( or None to output all ) ."""
self . _write_entries ( stream , compounds , self . convert_compound_entry , properties )
def get_model ( app_dot_model ) : """Returns Django model class corresponding to passed - in ` app _ dot _ model ` string . This is helpful for preventing circular - import errors in a Django project . Positional Arguments : - ` app _ dot _ model ` : Django ' s ` < app _ name > . < model _ name > ` syntax ....
try : app , model = app_dot_model . split ( '.' ) except ValueError : msg = ( f'Passed in value \'{app_dot_model}\' was not in the format ' '`<app_name>.<model_name>`.' ) raise ValueError ( msg ) return apps . get_app_config ( app ) . get_model ( model )
def cmd_servo ( self , args ) : '''set servos'''
if len ( args ) == 0 or args [ 0 ] not in [ 'set' , 'repeat' ] : print ( "Usage: servo <set|repeat>" ) return if args [ 0 ] == "set" : if len ( args ) < 3 : print ( "Usage: servo set <SERVO_NUM> <PWM>" ) return self . master . mav . command_long_send ( self . target_system , self . targe...
def eta_bar ( msg , max_value ) : """Display an adaptive ETA / countdown bar with a message . Parameters msg : str Message to prefix countdown bar line with max _ value : max _ value The max number of progress bar steps / updates"""
widgets = [ "{msg}:" . format ( msg = msg ) , progressbar . Bar ( ) , ' ' , progressbar . AdaptiveETA ( ) , ] return progressbar . ProgressBar ( widgets = widgets , max_value = max_value )
def _terminate_procs ( procs ) : """Terminate all processes in the process dictionary"""
logging . warn ( "Stopping all remaining processes" ) for proc , g in procs . values ( ) : logging . debug ( "[%s] SIGTERM" , proc . pid ) try : proc . terminate ( ) except OSError as e : # we don ' t care if the process we tried to kill didn ' t exist . if e . errno != errno . ESRCH : ...
def _publisher_callback ( self , publish_ack ) : """publisher callback that grpc and web socket can pass messages to address the received message onto the queue : param publish _ ack : EventHub _ pb2 . Ack the ack received from either wss or grpc : return : None"""
logging . debug ( "ack received: " + str ( publish_ack ) . replace ( '\n' , ' ' ) ) self . _rx_queue . append ( publish_ack )
def iter_tiles ( image , tile_size ) : """Yields ( x , y ) coordinate pairs for the top left corner of each tile in the given image , based on the given tile size ."""
w , h = image . size for y in xrange ( 0 , h , tile_size ) : for x in xrange ( 0 , w , tile_size ) : yield x , y
def _input_valid ( input_ , operation , message , output_condition_uri = None ) : """Validates a single Input against a single Output . Note : In case of a ` CREATE ` Transaction , this method does not validate against ` output _ condition _ uri ` . Args : input _ ( : class : ` ~ bigchaindb . common . tra...
ccffill = input_ . fulfillment try : parsed_ffill = Fulfillment . from_uri ( ccffill . serialize_uri ( ) ) except ( TypeError , ValueError , ParsingError , ASN1DecodeError , ASN1EncodeError ) : return False if operation == Transaction . CREATE : # NOTE : In the case of a ` CREATE ` transaction , the # output is...
def store_pulse_pushes ( body , exchange , routing_key ) : """Fetches the pushes pending from pulse exchanges and loads them ."""
newrelic . agent . add_custom_parameter ( "exchange" , exchange ) newrelic . agent . add_custom_parameter ( "routing_key" , routing_key ) PushLoader ( ) . process ( body , exchange )
def reductions ( fn , seq , acc = None ) : """Return the intermediate values of a reduction : param fn : a function : param seq : a sequence : param acc : the accumulator : returns : a list > > > reductions ( lambda x , y : x + y , [ 1 , 2 , 3 ] ) [1 , 3 , 6] > > > reductions ( lambda x , y : x + y , ...
indexes = xrange ( len ( seq ) ) if acc : return map ( lambda i : reduce ( lambda x , y : fn ( x , y ) , seq [ : i + 1 ] , acc ) , indexes ) else : return map ( lambda i : reduce ( lambda x , y : fn ( x , y ) , seq [ : i + 1 ] ) , indexes )
def zscore_df ( df , axis = 'row' , keep_orig = False ) : '''take the zscore of a dataframe dictionary , does not write to net ( self )'''
df_z = { } for mat_type in df : if keep_orig and mat_type == 'mat' : mat_orig = deepcopy ( df [ mat_type ] ) inst_df = df [ mat_type ] if axis == 'row' : inst_df = inst_df . transpose ( ) df_z [ mat_type ] = ( inst_df - inst_df . mean ( ) ) / inst_df . std ( ) if axis == 'row' : ...
def stop ( self ) : """Stop session ."""
if self . transport : self . transport . write ( self . method . TEARDOWN ( ) . encode ( ) ) self . transport . close ( ) self . rtp . stop ( )
def onMessageDelivered ( self , msg_ids = None , delivered_for = None , thread_id = None , thread_type = ThreadType . USER , ts = None , metadata = None , msg = None , ) : """Called when the client is listening , and somebody marks messages as delivered : param msg _ ids : The messages that are marked as delivere...
log . info ( "Messages {} delivered to {} in {} ({}) at {}s" . format ( msg_ids , delivered_for , thread_id , thread_type . name , ts / 1000 ) )
def _serializer ( obj ) : '''helper function to serialize some objects for prettier return'''
import datetime if isinstance ( obj , datetime . datetime ) : if obj . utcoffset ( ) is not None : obj = obj - obj . utcoffset ( ) return obj . __str__ ( ) return obj
def commit_author ( sha1 = '' ) : # type : ( str ) - > Author """Return the author of the given commit . Args : sha1 ( str ) : The sha1 of the commit to query . If not given , it will return the sha1 for the current commit . Returns : Author : A named tuple ` ` ( name , email ) ` ` with the commit autho...
with conf . within_proj_dir ( ) : cmd = 'git show -s --format="%an||%ae" {}' . format ( sha1 ) result = shell . run ( cmd , capture = True , never_pretend = True ) . stdout name , email = result . split ( '||' ) return Author ( name , email )
def _init_attr ( self , bitstring_map : Dict [ str , str ] ) : """Acts instead of _ _ init _ _ method to instantiate the necessary Deutsch - Jozsa state . : param Dict [ String , String ] bitstring _ map : truth - table of the input bitstring map in dictionary format , used to construct the oracle in the Deutsc...
self . bit_map = bitstring_map self . n_qubits = len ( list ( bitstring_map . keys ( ) ) [ 0 ] ) # We use one extra qubit for making the oracle , # and one for storing the answer of the oracle . self . n_ancillas = 2 self . _qubits = list ( range ( self . n_qubits + self . n_ancillas ) ) self . computational_qubits = s...
def do_alarm_definition_list ( mc , args ) : '''List alarm definitions for this tenant .'''
fields = { } if args . name : fields [ 'name' ] = args . name if args . dimensions : fields [ 'dimensions' ] = utils . format_dimensions_query ( args . dimensions ) if args . severity : if not _validate_severity ( args . severity ) : return fields [ 'severity' ] = args . severity if args . sort_...
def get_penalty_model ( specification ) : """Retrieve a PenaltyModel from one of the available factories . Args : specification ( : class : ` . Specification ` ) : The specification for the desired PenaltyModel . Returns : : class : ` . PenaltyModel ` / None : A PenaltyModel as returned by the highest p...
# Iterate through the available factories until one gives a penalty model for factory in iter_factories ( ) : try : pm = factory ( specification ) except ImpossiblePenaltyModel as e : # information about impossible models should be propagated raise e except FactoryException : # any other typ...
def most_seen_creators_by_works ( work_kind = None , role_name = None , num = 10 ) : """Returns a QuerySet of the Creators that are associated with the most Works ."""
return Creator . objects . by_works ( kind = work_kind , role_name = role_name ) [ : num ]
def removeSubscribers ( self , emails_list ) : """Remove subscribers from this workitem If the subscribers have not been added , no more actions will be performed . : param emails _ list : a : class : ` list ` / : class : ` tuple ` / : class : ` set ` contains the the subscribers ' emails"""
if not hasattr ( emails_list , "__iter__" ) : error_msg = "Input parameter 'emails_list' is not iterable" self . log . error ( error_msg ) raise exception . BadValue ( error_msg ) # overall flag missing_flags = True headers , raw_data = self . _perform_subscribe ( ) for email in emails_list : missing_fl...
def open_application ( self , remote_url , alias = None , ** kwargs ) : """Opens a new application to given Appium server . Capabilities of appium server , Android and iOS , Please check https : / / github . com / appium / appium / blob / master / docs / en / writing - running - appium / server - args . md | ...
desired_caps = kwargs application = webdriver . Remote ( str ( remote_url ) , desired_caps ) self . _debug ( 'Opened application with session id %s' % application . session_id ) return self . _cache . register ( application , alias )
def config ( key , value , local = True ) : """Set that config key to that value Unless local is set to False : only change local config"""
option = local and '--local' or '' run ( 'config %s "%s" "%s"' % ( option , key , value ) )
def detect_possible_scope_visibility ( node , context_scope ) : # type : ( Dict [ str , Any ] , Scope ) - > ScopeVisibilityHint """Returns a * possible * variable visibility by the specified node . The " possible " means that we can not determine a scope visibility of lambda arguments until reachability check .""...
node_type = NodeType ( node [ 'type' ] ) if not is_analyzable_identifier ( node ) : return ScopeVisibilityHint ( ScopeVisibility . UNANALYZABLE , ExplicityOfScopeVisibility . UNANALYZABLE ) if node_type is NodeType . IDENTIFIER : return _detect_possible_identifier_scope_visibility ( node , context_scope ) if no...
def plot_i2 ( self , colorbar = True , cb_orientation = 'vertical' , cb_label = None , ax = None , show = True , fname = None , ** kwargs ) : """Plot the third invariant I2 ( the determinant ) of the tensor : I2 = vxx * ( vyy * vzz - vyz * * 2 ) + vxy * ( vyz * vxz - vxy * vzz ) + vxz * ( vxy * vyz - vxz * vyy ...
if cb_label is None : cb_label = self . _i2_label if self . i2 is None : self . compute_invar ( ) if ax is None : fig , axes = self . i2 . plot ( colorbar = colorbar , cb_orientation = cb_orientation , cb_label = cb_label , show = False , ** kwargs ) if show : fig . show ( ) if fname is not ...
def match_blocks ( hash_func , old_children , new_children ) : """Use difflib to find matching blocks ."""
sm = difflib . SequenceMatcher ( _is_junk , a = [ hash_func ( c ) for c in old_children ] , b = [ hash_func ( c ) for c in new_children ] , ) return sm
def get_api_gateway_resource ( name ) : """Get the resource associated with our gateway ."""
client = boto3 . client ( 'apigateway' , region_name = PRIMARY_REGION ) matches = [ x for x in client . get_rest_apis ( ) . get ( 'items' , list ( ) ) if x [ 'name' ] == API_GATEWAY ] match = matches . pop ( ) resources = client . get_resources ( restApiId = match . get ( 'id' ) ) resource_id = None for item in resourc...
def pc_anova ( self , covariates , num_pc = 5 ) : """Calculate one - way ANOVA between the first num _ pc prinicipal components and known covariates . The size and index of covariates determines whether u or v is used . Parameters covariates : pandas . DataFrame Dataframe of covariates whose index corresp...
from scipy . stats import f_oneway if ( covariates . shape [ 0 ] == self . u . shape [ 0 ] and len ( set ( covariates . index ) & set ( self . u . index ) ) == self . u . shape [ 0 ] ) : mat = self . u elif ( covariates . shape [ 0 ] == self . v . shape [ 0 ] and len ( set ( covariates . index ) & set ( self . v . ...
def GetKey ( self , path , cycle = 9999 , rootpy = True , ** kwargs ) : """Override TDirectory ' s GetKey and also handle accessing keys nested arbitrarily deep in subdirectories ."""
key = super ( _DirectoryBase , self ) . GetKey ( path , cycle ) if not key : raise DoesNotExist if rootpy : return asrootpy ( key , ** kwargs ) return key
def __write_columns ( self , pc , table ) : """Read numeric data from csv and write to the bottom section of the txt file . : param dict table : Paleodata dictionary : return none :"""
logger_lpd_noaa . info ( "writing section: data, csv values from file" ) # get filename for this table ' s csv data # filename = self . _ _ get _ filename ( table ) # logger _ lpd _ noaa . info ( " processing csv file : { } " . format ( filename ) ) # # get missing value for this table # # mv = self . _ _ get _ mv ( ta...
def to_string ( self , limit = None ) : """Create a string representation of this collection , showing up to ` limit ` items ."""
header = self . short_string ( ) if len ( self ) == 0 : return header contents = "" element_lines = [ " -- %s" % ( element , ) for element in self . elements [ : limit ] ] contents = "\n" . join ( element_lines ) if limit is not None and len ( self . elements ) > limit : contents += "\n ... and %d more" % ( l...
def do_execute ( self ) : """The actual execution of the actor . : return : None if successful , otherwise error message : rtype : str"""
result = None teeoff = True cond = self . storagehandler . expand ( str ( self . resolve_option ( "condition" ) ) ) if len ( cond ) > 0 : teeoff = bool ( eval ( cond ) ) if teeoff : self . first_active . input = self . input result = self . _director . execute ( ) if result is None : self . _output . ap...
def setEditable ( self , editable ) : """setter to _ editable . apply changes while changing dtype . Raises : TypeError : if editable is not of type bool . Args : editable ( bool ) : apply changes while changing dtype ."""
if not isinstance ( editable , bool ) : raise TypeError ( 'Argument is not of type bool' ) self . _editable = editable
def persist ( name , value , config = '/etc/sysctl.conf' ) : '''Assign and persist a simple sysctl parameter for this minion CLI Example : . . code - block : : bash salt ' * ' sysctl . persist net . inet . icmp . icmplim 50 salt ' * ' sysctl . persist coretemp _ load NO config = / boot / loader . conf'''
nlines = [ ] edited = False value = six . text_type ( value ) with salt . utils . files . fopen ( config , 'r' ) as ifile : for line in ifile : line = salt . utils . stringutils . to_unicode ( line ) . rstrip ( '\n' ) if not line . startswith ( '{0}=' . format ( name ) ) : nlines . appen...
def submesh ( self , faces_sequence , ** kwargs ) : """Return a subset of the mesh . Parameters faces _ sequence : sequence ( m , ) int Face indices of mesh only _ watertight : bool Only return submeshes which are watertight append : bool Return a single mesh which has the faces appended . if this f...
return util . submesh ( mesh = self , faces_sequence = faces_sequence , ** kwargs )
def set_field ( obj , field_name , value ) : """Fancy setattr with debugging ."""
old = getattr ( obj , field_name ) field = obj . _meta . get_field ( field_name ) # is _ relation is Django 1.8 only if field . is_relation : # If field _ name is the ` _ id ` field , then there is no ' pk ' attr and # old / value * is * the pk old_repr = None if old is None else getattr ( old , 'pk' , old ) ne...
def work ( ) : """Start an rq worker on the connection provided by create _ connection ."""
with rq . Connection ( create_connection ( ) ) : worker = rq . Worker ( list ( map ( rq . Queue , listen ) ) ) worker . work ( )
def _update_data ( self , data ) : # type : ( Any ) - > Dict [ str , List ] """Set our data and notify any subscribers of children what has changed Args : data ( object ) : The new data Returns : dict : { child _ name : [ path _ list , optional child _ data ] } of the change that needs to be passed to a c...
self . data = data child_change_dict = { } # Reflect change of data to children for name in self . children : child_data = getattr ( data , name , None ) if child_data is None : # Deletion child_change_dict [ name ] = [ [ ] ] else : # Change child_change_dict [ name ] = [ [ ] , child_data ] ...
def convert_cifar10 ( directory , output_directory , output_filename = 'cifar10.hdf5' ) : """Converts the CIFAR - 10 dataset to HDF5. Converts the CIFAR - 10 dataset to an HDF5 dataset compatible with : class : ` fuel . datasets . CIFAR10 ` . The converted dataset is saved as ' cifar10 . hdf5 ' . It assumes...
output_path = os . path . join ( output_directory , output_filename ) h5file = h5py . File ( output_path , mode = 'w' ) input_file = os . path . join ( directory , DISTRIBUTION_FILE ) tar_file = tarfile . open ( input_file , 'r:gz' ) train_batches = [ ] for batch in range ( 1 , 6 ) : file = tar_file . extractfile (...
def change_object_content_type ( self , container , obj , new_ctype , guess = False , extra_info = None ) : """Copies object to itself , but applies a new content - type . The guess feature requires the container to be CDN - enabled . If not then the content - type must be supplied . If using guess with a CDN -...
return self . _manager . change_object_content_type ( container , obj , new_ctype , guess = guess )
def simulate_measurement ( self , index : int ) -> bool : """Simulates a single qubit measurement in the computational basis . Args : index : Which qubit is measured . Returns : True iff the measurement result corresponds to the | 1 > state ."""
args = self . _shard_num_args ( { 'index' : index } ) prob_one = np . sum ( self . _pool . map ( _one_prob_per_shard , args ) ) result = bool ( np . random . random ( ) <= prob_one ) args = self . _shard_num_args ( { 'index' : index , 'result' : result , 'prob_one' : prob_one } ) self . _pool . map ( _collapse_state , ...
def sndread ( path : str ) -> Tuple [ np . ndarray , int ] : """Read a soundfile as a numpy array . This is a float array defined between - 1 and 1 , independently of the format of the soundfile Returns ( data : ndarray , sr : int )"""
backend = _getBackend ( path ) logger . debug ( f"sndread: using backend {backend.name}" ) return backend . read ( path )
def submodules ( self ) : """Returns all documented sub - modules in the module sorted alphabetically as a list of ` pydoc . Module ` ."""
p = lambda o : isinstance ( o , Module ) and self . _docfilter ( o ) return sorted ( filter ( p , self . doc . values ( ) ) )
def gendicts ( cursor : Cursor , arraysize : int = 1000 ) -> Generator [ Dict [ str , Any ] , None , None ] : """Generate all rows from a cursor as : class : ` OrderedDict ` objects . Args : cursor : the cursor arraysize : split fetches into chunks of this many records Yields : each row , as an : class : ...
columns = get_fieldnames_from_cursor ( cursor ) return ( OrderedDict ( zip ( columns , row ) ) for row in genrows ( cursor , arraysize ) )
def _get_value ( self , value , default ) : """calls appropriate gconf function by the default value"""
vtype = type ( default ) if vtype is bool : return value . get_bool ( ) elif vtype is str : return value . get_string ( ) elif vtype is int : return value . get_int ( ) elif vtype in ( list , tuple ) : l = [ ] for i in value . get_list ( ) : l . append ( i . get_string ( ) ) return l ret...
def add ( self , interval ) : """Adds an interval to the tree , if not already present . Completes in O ( log n ) time ."""
if interval in self : return if interval . is_null ( ) : raise ValueError ( "IntervalTree: Null Interval objects not allowed in IntervalTree:" " {0}" . format ( interval ) ) if not self . top_node : self . top_node = Node . from_interval ( interval ) else : self . top_node = self . top_node . add ( inte...
def insert_arguments_into_match_query ( compilation_result , arguments ) : """Insert the arguments into the compiled MATCH query to form a complete query . Args : compilation _ result : a CompilationResult object derived from the GraphQL compiler arguments : dict , mapping argument name to its value , for eve...
if compilation_result . language != MATCH_LANGUAGE : raise AssertionError ( u'Unexpected query output language: {}' . format ( compilation_result ) ) base_query = compilation_result . query argument_types = compilation_result . input_metadata # The arguments are assumed to have already been validated against the qu...
def overlap ( self , x , ctrs , kdtree = None ) : """Check how many balls ` x ` falls within . Uses a K - D Tree to perform the search if provided ."""
q = len ( self . within ( x , ctrs , kdtree = kdtree ) ) return q
def save_to_files ( self , directory : str ) -> None : """Persist this Vocabulary to files so it can be reloaded later . Each namespace corresponds to one file . Parameters directory : ` ` str ` ` The directory where we save the serialized vocabulary ."""
os . makedirs ( directory , exist_ok = True ) if os . listdir ( directory ) : logging . warning ( "vocabulary serialization directory %s is not empty" , directory ) with codecs . open ( os . path . join ( directory , NAMESPACE_PADDING_FILE ) , 'w' , 'utf-8' ) as namespace_file : for namespace_str in self . _non...
def init_versioning ( self , app , database , versioning_manager = None ) : """Initialize the versioning support using SQLAlchemy - Continuum ."""
try : pkg_resources . get_distribution ( 'sqlalchemy_continuum' ) except pkg_resources . DistributionNotFound : # pragma : no cover default_versioning = False else : default_versioning = True app . config . setdefault ( 'DB_VERSIONING' , default_versioning ) if not app . config [ 'DB_VERSIONING' ] : ret...
def _HandleLegacy ( self , args , token = None ) : """Creates a new hunt ."""
# We only create generic hunts with / hunts / create requests . generic_hunt_args = rdf_hunts . GenericHuntArgs ( ) generic_hunt_args . flow_runner_args . flow_name = args . flow_name generic_hunt_args . flow_args = args . flow_args # Clear all fields marked with HIDDEN , except for output _ plugins - they are # marked...
def logs ( self , ** kwargs ) : """Get logs from this container . Similar to the ` ` docker logs ` ` command . The ` ` stream ` ` parameter makes the ` ` logs ` ` function return a blocking generator you can iterate over to retrieve log output as it happens . Args : stdout ( bool ) : Get ` ` STDOUT ` ` . De...
return self . client . api . logs ( self . id , ** kwargs )
def _remove_blacklisted ( self , filepaths ) : """internal helper method to remove the blacklisted filepaths from ` filepaths ` ."""
filepaths = util . remove_from_set ( filepaths , self . blacklisted_filepaths ) return filepaths
def populate_host_templates ( host_templates , hardware_ids = None , virtual_guest_ids = None , ip_address_ids = None , subnet_ids = None ) : """Populate the given host _ templates array with the IDs provided : param host _ templates : The array to which host templates will be added : param hardware _ ids : A L...
if hardware_ids is not None : for hardware_id in hardware_ids : host_templates . append ( { 'objectType' : 'SoftLayer_Hardware' , 'id' : hardware_id } ) if virtual_guest_ids is not None : for virtual_guest_id in virtual_guest_ids : host_templates . append ( { 'objectType' : 'SoftLayer_Virtual_Gu...
def close ( self , request , * args , ** kwargs ) : """To close alert - run * * POST * * against * / api / alerts / < alert _ uuid > / close / * . No data is required . Only users with staff privileges can close alerts ."""
if not request . user . is_staff : raise PermissionDenied ( ) alert = self . get_object ( ) alert . close ( ) return response . Response ( status = status . HTTP_204_NO_CONTENT )
def get_object_by_uid ( uid , default = _marker ) : """Find an object by a given UID : param uid : The UID of the object to find : type uid : string : returns : Found Object or None"""
# nothing to do here if not uid : if default is not _marker : return default fail ( "get_object_by_uid requires UID as first argument; got {} instead" . format ( uid ) ) # we defined the portal object UID to be ' 0 ' : : if uid == '0' : return get_portal ( ) brain = get_brain_by_uid ( uid ) if brain...
def get ( self , key , ** kw ) : """Retrieve a value from the cache . : param key : the value ' s key . : param \ * * kw : cache configuration arguments . The backend is configured using these arguments upon first request . Subsequent requests that use the same series of configuration values will use that...
return self . impl . get ( key , ** self . _get_cache_kw ( kw , None ) )
def make_request_from_data ( self , data ) : """Returns a Request instance from data coming from Redis . By default , ` ` data ` ` is an encoded URL . You can override this method to provide your own message decoding . Parameters data : bytes Message from redis ."""
url = bytes_to_str ( data , self . redis_encoding ) return self . make_requests_from_url ( url )
def detect_from_pkgconfig ( self ) : """Detects the igraph include directory , library directory and the list of libraries to link to using ` ` pkg - config ` ` ."""
if not buildcfg . has_pkgconfig : print ( "Cannot find the C core of igraph on this system using pkg-config." ) return False cmd = "pkg-config igraph --cflags --libs" if self . static_extension : cmd += " --static" line , exit_code = get_output ( cmd ) if exit_code > 0 or len ( line ) == 0 : return Fals...
def update ( self ) : """Updates the dictionary of the device"""
if "tag_groups" not in self . _device_dict : return for group in self . tag_groups : group . update ( ) for i in range ( len ( self . _device_dict [ "tag_groups" ] ) ) : tag_group_dict = self . _device_dict [ "tag_groups" ] [ i ] for group in self . tag_groups : if group . name == tag_group_dict...
def load_mo ( self , state , page_idx ) : """Loads a memory object from memory . : param page _ idx : the index into the page : returns : a tuple of the object"""
try : key = next ( self . _storage . irange ( maximum = page_idx , reverse = True ) ) except StopIteration : return None else : return self . _storage [ key ]
def handle ( self , t_input : inference . TranslatorInput , t_output : inference . TranslatorOutput , t_walltime : float = 0. ) : """: param t _ input : Translator input . : param t _ output : Translator output . : param t _ walltime : Total wall - clock time for translation ."""
line = "{sent_id} ||| {target} ||| {score:f} ||| {source} ||| {source_len:d} ||| {target_len:d}\n" self . stream . write ( line . format ( sent_id = t_input . sentence_id , target = " " . join ( t_output . tokens ) , score = t_output . score , source = " " . join ( t_input . tokens ) , source_len = len ( t_input . toke...
def manual_uniprot_mapping ( self , gene_to_uniprot_dict , outdir = None , set_as_representative = True ) : """Read a manual dictionary of model gene IDs - - > UniProt IDs . By default sets them as representative . This allows for mapping of the missing genes , or overriding of automatic mappings . Input a dict...
for g , u in tqdm ( gene_to_uniprot_dict . items ( ) ) : g = str ( g ) gene = self . genes . get_by_id ( g ) try : uniprot_prop = gene . protein . load_uniprot ( uniprot_id = u , outdir = outdir , download = True , set_as_representative = set_as_representative ) except HTTPError as e : l...
def iter ( self , headers_only = False , page_size = None ) : """Yield all time series objects selected by the query . The generator returned iterates over : class : ` ~ google . cloud . monitoring _ v3 . types . TimeSeries ` objects containing points ordered from oldest to newest . Note that the : class : ...
if self . _end_time is None : raise ValueError ( "Query time interval not specified." ) params = self . _build_query_params ( headers_only , page_size ) for ts in self . _client . list_time_series ( ** params ) : yield ts
def run ( addr , * commands , ** kwargs ) : """Non - threaded batch command runner returning output results"""
results = [ ] handler = VarnishHandler ( addr , ** kwargs ) for cmd in commands : if isinstance ( cmd , tuple ) and len ( cmd ) > 1 : results . extend ( [ getattr ( handler , c [ 0 ] . replace ( '.' , '_' ) ) ( * c [ 1 : ] ) for c in cmd ] ) else : results . append ( getattr ( handler , cmd . re...
def process ( self , request , queryset , period ) : """Will process the request and return an appropriate Response object . : param request : The request being processed . : param model : The model class being processed . : param period : The model being processed . : return : The response with the report ...
response = HttpResponse ( content = self . get_attachment_content ( request , queryset ) or '' , content_type = self . get_attachment_content_type ( request ) or 'text/plain' ) response [ 'Content-Disposition' ] = 'attachment; filename=' + ( self . get_attachment_filename ( request , period ) or 'report.txt' ) return r...
def class_to_json ( obj ) : """: type obj : int | str | bool | float | bytes | unicode | list | dict | object : rtype : int | str | bool | list | dict"""
obj_raw = serialize ( obj ) return json . dumps ( obj_raw , indent = _JSON_INDENT , sort_keys = True )
def binary_n ( total_N , min_n = 50 ) : """Creates a list of values by successively halving the total length total _ N until the resulting value is less than min _ n . Non - integer results are rounded down . Args : total _ N ( int ) : total length Kwargs : min _ n ( int ) : minimal length after div...
max_exp = np . log2 ( 1.0 * total_N / min_n ) max_exp = int ( np . floor ( max_exp ) ) return [ int ( np . floor ( 1.0 * total_N / ( 2 ** i ) ) ) for i in range ( 1 , max_exp + 1 ) ]
def add_context_menu_items ( self , items , replace_items = False ) : '''Adds context menu items . If replace _ items is True all previous context menu items will be removed .'''
for label , action in items : assert isinstance ( label , basestring ) assert isinstance ( action , basestring ) if replace_items : self . _context_menu_items = [ ] self . _context_menu_items . extend ( items ) self . _listitem . addContextMenuItems ( items , replace_items )
def flags ( self , index ) : """Returns the item flags for the given index ."""
if not index . isValid ( ) : return 0 cti = self . getItem ( index ) result = Qt . ItemIsSelectable if cti . enabled : result |= Qt . ItemIsEnabled if index . column ( ) == self . COL_VALUE : result |= cti . valueColumnItemFlags return result
def _timeoutDeferred ( deferred , timeout ) : """Cancels the given deferred after the given time , if it has not yet callbacked / errbacked it ."""
delayedCall = reactor . callLater ( timeout , deferred . cancel ) def gotResult ( result ) : if delayedCall . active ( ) : delayedCall . cancel ( ) return result deferred . addBoth ( gotResult )
def define_frequencies ( Ne , explicitly_antisymmetric = False ) : u"""Define all frequencies omega _ level , omega , gamma . > > > from sympy import pprint > > > pprint ( define _ frequencies ( 2 ) , use _ unicode = True ) ⎛ ⎡ 0 ω12 ⎤ ⎡ 0 γ12 ⎤ ⎞ ⎜ [ ω1 , ω2 ] , ⎢ ⎥ , ⎢ ⎥ ⎟ ⎝ ⎣ ω21 0 ⎦ ⎣ γ21 0 ⎦ ⎠ We c...
omega_level = [ Symbol ( 'omega_' + str ( i + 1 ) , real = True ) for i in range ( Ne ) ] if Ne > 9 : opening = "\\" comma = "," open_brace = "{" close_brace = "}" else : opening = r"" comma = "" open_brace = "" close_brace = "" omega = [ ] ; gamma = [ ] for i in range ( Ne ) : row_o...
def get_context ( name , doc ) : """Generate a command with given name . The command can be run immediately after generation . For example : dj generate command bar dj run manage . py bar"""
name = inflection . underscore ( name ) return { 'name' : name , 'doc' : doc or name }
def cublasDtrsm ( handle , side , uplo , trans , diag , m , n , alpha , A , lda , B , ldb ) : """Solve a real triangular system with multiple right - hand sides ."""
status = _libcublas . cublasDtrsm_v2 ( handle , _CUBLAS_SIDE_MODE [ side ] , _CUBLAS_FILL_MODE [ uplo ] , _CUBLAS_OP [ trans ] , _CUBLAS_DIAG [ diag ] , m , n , ctypes . byref ( ctypes . c_double ( alpha ) ) , int ( A ) , lda , int ( B ) , ldb ) cublasCheckStatus ( status )
def crossspec ( data , tbin , Df = None , units = False , pointProcess = False ) : """Calculate ( smoothed ) cross spectra of data . If ` units ` = True , cross spectra are averaged across units . Note that averaging is done on cross spectra rather than data . Cross spectra are normalized by the length T of t...
N = len ( data ) if units is True : # smoothing and normalization take place in powerspec # and compound _ powerspec freq , POW = powerspec ( data , tbin , Df = Df , units = True ) freq_com , CPOW = compound_powerspec ( data , tbin , Df = Df ) assert ( len ( freq ) == len ( freq_com ) ) assert ( np . mi...
def extractall ( self , directory , auto_create_dir = False , patool_path = None ) : ''': param directory : directory to extract to : param auto _ create _ dir : auto create directory : param patool _ path : the path to the patool backend'''
log . debug ( 'extracting %s into %s (backend=%s)' , self . filename , directory , self . backend ) is_zipfile = zipfile . is_zipfile ( self . filename ) directory = _fullpath ( directory ) if not os . path . exists ( self . filename ) : raise ValueError ( 'archive file does not exist:' + str ( self . filename ) ) ...
def _timeout ( seconds ) : """Context manager that runs code block until timeout is reached . Example usage : : try : with _ timeout ( 10 ) : do _ stuff ( ) except Timeout : print ( " do _ stuff timed out " )"""
def _handle_timeout ( * args ) : raise Timeout ( seconds ) signal . signal ( signal . SIGALRM , _handle_timeout ) signal . alarm ( seconds ) try : yield finally : signal . alarm ( 0 ) signal . signal ( signal . SIGALRM , signal . SIG_DFL )
def _print ( * args ) : """Print txt by coding GBK . * args list , list of printing contents"""
if not CFG . debug : return if not args : return encoding = 'gbk' args = [ _cs ( a , encoding ) for a in args ] f_back = None try : raise Exception except : f_back = sys . exc_traceback . tb_frame . f_back f_name = f_back . f_code . co_name filename = os . path . basename ( f_back . f_code . co_filename...
def MapItemsIterator ( function , items ) : """Maps ItemsIterator via given function ."""
return ItemsIterator ( items = map ( function , items ) , total_count = items . total_count )
def history_view ( self , request , object_id , extra_context = None ) : """The ' history ' admin view for this model ."""
request . current_app = self . admin_site . name model = self . model opts = model . _meta app_label = opts . app_label pk_name = opts . pk . attname history = getattr ( model , model . _meta . simple_history_manager_attribute ) object_id = unquote ( object_id ) action_list = history . filter ( ** { pk_name : object_id...
def insert_relation_information ( germanet_db , gn_rels_file ) : '''Reads in the given GermaNet relation file and inserts its contents into the given MongoDB database . Arguments : - ` germanet _ db ` : a pymongo . database . Database object - ` gn _ rels _ file ` :'''
lex_rels , con_rels = read_relation_file ( gn_rels_file ) # cache the lexunits while we work on them lexunits = { } for lex_rel in lex_rels : if lex_rel [ 'from' ] not in lexunits : lexunits [ lex_rel [ 'from' ] ] = germanet_db . lexunits . find_one ( { 'id' : lex_rel [ 'from' ] } ) from_lexunit = lexun...
def get_conn ( profile ) : '''Return a client object for accessing consul'''
params = { } for key in ( 'host' , 'port' , 'token' , 'scheme' , 'consistency' , 'dc' , 'verify' ) : if key in profile : params [ key ] = profile [ key ] if HAS_CONSUL : return consul . Consul ( ** params ) else : raise CommandExecutionError ( '(unable to import consul, ' 'module most likely not ins...
def runlist_add_app ( name , app , profile , force , ** kwargs ) : """Add specified application with profile to the specified runlist . Existence of application or profile is not checked ."""
ctx = Context ( ** kwargs ) ctx . execute_action ( 'runlist:add-app' , ** { 'storage' : ctx . repo . create_secure_service ( 'storage' ) , 'name' : name , 'app' : app , 'profile' : profile , 'force' : force } )
def deploy ( Class , name = None , uid = None , gid = None , ** kw ) : """Create an application with the give name , uid , and gid . The application has one child service , an instance of Class configured based on the additional keyword arguments passed . The application is not persistable . @ param Class :...
svc = Class ( ** kw ) if name is None : name = Class . __name__ # Make it easier ( possible ) to find this service by name later on svc . setName ( name ) app = service . Application ( name , uid = uid , gid = gid ) app . addComponent ( NotPersistable ( app ) , ignoreClass = True ) svc . setServiceParent ( app ) re...
def _freq_parser ( self , freq ) : """day , hour , min , sec ,"""
freq = freq . lower ( ) . strip ( ) try : if "day" in freq : freq = freq . replace ( "day" , "" ) return timedelta ( days = int ( freq ) ) elif "hour" in freq : freq = freq . replace ( "hour" , "" ) return timedelta ( hours = int ( freq ) ) elif "min" in freq : freq =...
def crc_srec ( hexstr ) : """Calculate the CRC for given Motorola S - Record hexstring ."""
crc = sum ( bytearray ( binascii . unhexlify ( hexstr ) ) ) crc &= 0xff crc ^= 0xff return crc
def _server_response_handler ( self , response : Dict [ str , Any ] ) : """处理100 ~ 199段状态码 , 针对不同的服务响应进行操作 . Parameters : ( response ) : - 响应的python字典形式数据 Return : ( bool ) : - 准确地说没有错误就会返回True"""
code = response . get ( "CODE" ) if code == 100 : if self . debug : print ( "auth succeed" ) self . _login_fut . set_result ( response ) if code == 101 : if self . debug : print ( 'pong' ) return True
def _store_expansion_state ( self ) : """Iter recursively all tree items and store expansion state"""
def store_tree_expansion ( child_tree_iter , expansion_state ) : tree_item_path = self . history_tree_store . get_path ( child_tree_iter ) history_item = self . get_history_item_for_tree_iter ( child_tree_iter ) # store expansion state if tree item path is valid and expansion state was not stored already ...
def matching_tokens ( self , text , start = 0 ) : """Retrieve all token definitions matching the beginning of a text . Args : text ( str ) : the text to test start ( int ) : the position where matches should be searched in the string ( see re . match ( rx , txt , pos ) ) Yields : ( token _ class , re . ...
for token_class , regexp in self . _tokens : match = regexp . match ( text , pos = start ) if match : yield token_class , match
def ngrok_url ( ) : """If ngrok is running , it exposes an API on port 4040 . We can use that to figure out what URL it has assigned , and suggest that to the user . https : / / ngrok . com / docs # list - tunnels"""
try : ngrok_resp = requests . get ( "http://localhost:4040/api/tunnels" ) except requests . ConnectionError : # I guess ngrok isn ' t running . return None ngrok_data = ngrok_resp . json ( ) secure_urls = [ tunnel [ "public_url" ] for tunnel in ngrok_data [ "tunnels" ] if tunnel [ "proto" ] == "https" ] return ...
def this_and_prev ( iterable ) : """Walk an iterable , returning the current and previous items as a two - tuple ."""
try : item = next ( iterable ) while True : next_item = next ( iterable ) yield item , next_item item = next_item except StopIteration : return
def run ( macro , output_files = [ ] , force_close = True ) : """Runs Fiji with the suplied macro . Output of Fiji can be viewed by setting environment variable ` DEBUG = fijibin ` . Parameters macro : string or list of strings IJM - macro ( s ) to run . If list of strings , it will be joined with a space...
if type ( macro ) == list : macro = ' ' . join ( macro ) if len ( macro ) == 0 : print ( 'fijibin.macro.run got empty macro, not starting fiji' ) return _exists ( output_files ) if force_close : # make sure fiji halts immediately when done # hack : use error code 42 to check if macro has run sucessfully ...
def get_opcode_from_name ( operation_name : str ) -> int : """Get an op code based on its name . : param operation _ name : : return :"""
for op_code , value in opcodes . items ( ) : if operation_name == value [ 0 ] : return op_code raise RuntimeError ( "Unknown opcode" )
def update_pypsa_generator_import ( network ) : """Translate graph based grid representation to PyPSA Network For details from a user perspective see API documentation of : meth : ` ~ . grid . network . EDisGo . analyze ` of the API class : class : ` ~ . grid . network . EDisGo ` . Translating eDisGo ' s gr...
# get topology and time series data if network . pypsa . edisgo_mode is None : mv_components = mv_to_pypsa ( network ) lv_components = lv_to_pypsa ( network ) components = combine_mv_and_lv ( mv_components , lv_components ) elif network . pypsa . edisgo_mode is 'mv' : raise NotImplementedError elif netw...
def is_valid_assignment ( self , mtf_dimension_name , mesh_dimension_name ) : """Whether this MTF dimension may be assigned to this mesh dimension . Args : mtf _ dimension _ name : string , the name of a Mesh TensorFlow dimension . mesh _ dimension _ name : string , the name of a mesh dimension . Returns : ...
return ( ( mtf_dimension_name in self . _splittable_mtf_dimension_names ) and ( self . _mtf_dimension_name_to_size_gcd [ mtf_dimension_name ] % self . _mesh_dimension_name_to_size [ mesh_dimension_name ] == 0 ) )