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def normalize_scheme ( path , ext ) : """Normalize scheme for paths related to hdfs"""
path = addextension ( path , ext ) parsed = urlparse ( path ) if parsed . scheme : # this appears to already be a fully - qualified URI return path else : # this looks like a local path spec import os dirname , filename = os . path . split ( path ) if not os . path . isabs ( dirname ) : # need to make r...
def action ( self , * action_names ) : """Decorator , registering them as actions"""
def action_wrapper ( decorated ) : @ functools . wraps ( decorated ) def wrapper ( argv ) : kwargs = dict ( arg . split ( '=' ) for arg in argv ) try : return decorated ( ** kwargs ) except TypeError as e : if decorated . __doc__ : e . args += ( de...
def instruction_BLT ( self , opcode , ea ) : """Causes a branch if either , but not both , of the N ( negative ) or V ( overflow ) bits is set . That is , branch if the sign of a valid twos complement result is , or would be , negative . When used after a subtract or compare operation on twos complement binar...
if ( self . N ^ self . V ) == 1 : # N xor V # log . info ( " $ % x BLT branch to $ % x , because N XOR V = = 1 \ t | % s " % ( # self . program _ counter , ea , self . cfg . mem _ info . get _ shortest ( ea ) self . program_counter . set ( ea )
def gid_exists ( gid ) : """Check if a gid exists"""
try : grp . getgrgid ( gid ) gid_exists = True except KeyError : gid_exists = False return gid_exists
def parse ( self , obj ) : """Parse the object ' s properties according to its default types ."""
for k , default in obj . __class__ . defaults . items ( ) : typ = type ( default ) if typ is str : continue v = getattr ( obj , k ) if typ is int : setattr ( obj , k , int ( v or default ) ) elif typ is float : setattr ( obj , k , float ( v or default ) ) elif typ is bool...
def check ( state , unused = False , style = False , ignore = None , args = None , ** kwargs ) : """Checks for security vulnerabilities and against PEP 508 markers provided in Pipfile ."""
from . . core import do_check do_check ( three = state . three , python = state . python , system = state . system , unused = unused , ignore = ignore , args = args , pypi_mirror = state . pypi_mirror , )
def _scan ( self ) : """For every utterance , calculate the size it will need in memory ."""
utt_sizes = { } for dset_name in self . utt_ids : per_container = [ ] for cnt in self . containers : dset = cnt . _file [ dset_name ] dtype_size = dset . dtype . itemsize record_size = dtype_size * dset . size per_container . append ( record_size ) utt_size = sum ( per_contai...
def set_time ( time ) : '''Sets the current time . Must be in 24 hour format . : param str time : The time to set in 24 hour format . The value must be double quoted . ie : ' " 17:46 " ' : return : True if successful , False if not : rtype : bool : raises : SaltInvocationError on Invalid Time format : r...
# time must be double quoted ' " 17:46 " ' time_format = _get_date_time_format ( time ) dt_obj = datetime . strptime ( time , time_format ) cmd = 'systemsetup -settime {0}' . format ( dt_obj . strftime ( '%H:%M:%S' ) ) return salt . utils . mac_utils . execute_return_success ( cmd )
def NewFromCmy ( c , m , y , alpha = 1.0 , wref = _DEFAULT_WREF ) : '''Create a new instance based on the specifed CMY values . Parameters : The Cyan component value [ 0 . . . 1] The Magenta component value [ 0 . . . 1] The Yellow component value [ 0 . . . 1] : alpha : The color transparency [ 0 . . . 1...
return Color ( Color . CmyToRgb ( c , m , y ) , 'rgb' , alpha , wref )
def find_one_data_object ( zero_ok = False , more_ok = True , ** kwargs ) : """: param zero _ ok : If False ( default ) , : class : ` ~ dxpy . exceptions . DXSearchError ` is raised if the search has 0 results ; if True , returns None if the search has 0 results : type zero _ ok : bool : param more _ ok :...
return _find_one ( find_data_objects , zero_ok = zero_ok , more_ok = more_ok , ** kwargs )
def pop_density ( data : CityInfo ) -> str : """Calculate the population density from the data entry"""
if not isinstance ( data , CityInfo ) : raise AttributeError ( "Argument to pop_density() must be an instance of CityInfo" ) return no_dec ( data . get_population ( ) / data . get_area ( ) )
def network_security_group_present ( name , resource_group , tags = None , security_rules = None , connection_auth = None , ** kwargs ) : '''. . versionadded : : 2019.2.0 Ensure a network security group exists . : param name : Name of the network security group . : param resource _ group : The resource gr...
ret = { 'name' : name , 'result' : False , 'comment' : '' , 'changes' : { } } if not isinstance ( connection_auth , dict ) : ret [ 'comment' ] = 'Connection information must be specified via connection_auth dictionary!' return ret nsg = __salt__ [ 'azurearm_network.network_security_group_get' ] ( name , resourc...
def normalize_weights ( self , IIMax , IEMax , EIMax ) : """Rescale our weight matrices to have a certain maximum absolute value . : param IINorm : The target maximum for the II weights : param IENorm : The target maximum for both IE weight matrices : param EINorm : The target maximum for both EI weight matri...
weights = [ self . weightsII , self . weightsIEL , self . weightsIER , self . weightsELI , self . weightsERI ] norms = [ IIMax , IEMax , IEMax , EIMax , EIMax ] for w , n in zip ( weights , norms ) : maximum = np . amax ( np . abs ( w ) ) w /= maximum w *= n
def exerciseOptions ( self , contract : Contract , exerciseAction : int , exerciseQuantity : int , account : str , override : int ) : """Exercise an options contract . https : / / interactivebrokers . github . io / tws - api / options . html Args : contract : The option contract to be exercised . exerciseAc...
reqId = self . client . getReqId ( ) self . client . exerciseOptions ( reqId , contract , exerciseAction , exerciseQuantity , account , override )
def global_import ( mod_name ) : """This function search sys . path [ 1 : ] , return specified module . sys . path [ 1 : ] means the directories other than current directory ( ' . / ' ) . ' mod _ name ' as an argument is string type object ."""
mod_tuple = imp . find_module ( mod_name , sys . path [ 1 : ] ) mod = imp . load_module ( mod_name , mod_tuple [ 0 ] , mod_tuple [ 1 ] , mod_tuple [ 2 ] ) return mod
def has_task_of_type ( self , typ ) : """Returns True if this goal has a task of the given type ( or a subtype of it ) ."""
for task_type in self . task_types ( ) : if issubclass ( task_type , typ ) : return True return False
def format ( input , ** params ) : """Appends string formatted value to result : param input : : param params : : return :"""
PARAM_FORMAT_STRING = 'format.string' PARAM_FORMAT_INPUT = 'format.input' PARAM_RESULT_FIELD = 'result.field' IN_DESC_FIELD = 'field' IN_DESC_TYPE = 'type' format_string = params . get ( PARAM_FORMAT_STRING ) format_inputs = params . get ( PARAM_FORMAT_INPUT ) result_field = params . get ( PARAM_RESULT_FIELD ) for row ...
def advance ( self , size : int ) -> None : """Advance the current buffer position by ` ` size ` ` bytes ."""
assert 0 < size <= self . _size self . _size -= size pos = self . _first_pos buffers = self . _buffers while buffers and size > 0 : is_large , b = buffers [ 0 ] b_remain = len ( b ) - size - pos if b_remain <= 0 : buffers . popleft ( ) size -= len ( b ) - pos pos = 0 elif is_larg...
def concat_batch_variantcalls ( items , region_block = True , skip_jointcheck = False ) : """CWL entry point : combine variant calls from regions into single VCF ."""
items = [ utils . to_single_data ( x ) for x in items ] batch_name = _get_batch_name ( items , skip_jointcheck ) variantcaller = _get_batch_variantcaller ( items ) # Pre - called input variant files if not variantcaller and all ( d . get ( "vrn_file" ) for d in items ) : return { "vrn_file" : items [ 0 ] [ "vrn_fil...
def find_biggest_divisible_set ( arr , size ) : """Function to find the biggest subset where each pair of its elements is divisible . For example : > > > find _ biggest _ divisible _ set ( [ 1 , 3 , 6 , 13 , 17 , 18 ] , 6) > > > find _ biggest _ divisible _ set ( [ 10 , 5 , 3 , 15 , 20 ] , 5) > > > find _ b...
# Create an array to store subset lengths subset_lengths = [ 0 ] * size # Initialize each position as 1 subset_lengths [ size - 1 ] = 1 # Traverse from the second last element towards the first for i in range ( size - 2 , - 1 , - 1 ) : max_length = 0 for j in range ( i + 1 , size ) : # Check if element is divis...
def schema ( self ) : """Returns the schema of this : class : ` DataFrame ` as a : class : ` pyspark . sql . types . StructType ` . > > > df . schema StructType ( List ( StructField ( age , IntegerType , true ) , StructField ( name , StringType , true ) ) )"""
if self . _schema is None : try : self . _schema = _parse_datatype_json_string ( self . _jdf . schema ( ) . json ( ) ) except AttributeError as e : raise Exception ( "Unable to parse datatype from schema. %s" % e ) return self . _schema
def reset ( self ) : """Resets the configuration , and overwrites the existing configuration file ."""
self . _options = { } self . save ( force = True ) self . _success = True
def add_data_point ( self , x , y , number_format = None ) : """Return an XyDataPoint object newly created with values * x * and * y * , and appended to this sequence ."""
data_point = XyDataPoint ( self , x , y , number_format ) self . append ( data_point ) return data_point
def read_some ( self ) : """Read at least one byte of cooked data unless EOF is hit . Return b ' ' if EOF is hit ."""
yield from self . process_rawq ( ) while not self . cookedq and not self . eof : yield from self . fill_rawq ( ) yield from self . process_rawq ( ) buf = self . cookedq self . cookedq = b'' return buf
def write ( objct , fileoutput , binary = True ) : """Write 3D object to file . Possile extensions are : - vtk , vti , ply , obj , stl , byu , vtp , xyz , tif , png , bmp ."""
obj = objct if isinstance ( obj , Actor ) : obj = objct . polydata ( True ) elif isinstance ( obj , vtk . vtkActor ) : obj = objct . GetMapper ( ) . GetInput ( ) fr = fileoutput . lower ( ) if ".vtk" in fr : w = vtk . vtkPolyDataWriter ( ) elif ".ply" in fr : w = vtk . vtkPLYWriter ( ) elif ".stl" in fr...
async def raw ( self , command , * args , _conn = None , ** kwargs ) : """Send the raw command to the underlying client . Note that by using this CMD you will lose compatibility with other backends . Due to limitations with aiomcache client , args have to be provided as bytes . For rest of backends , str . ...
start = time . monotonic ( ) ret = await self . _raw ( command , * args , encoding = self . serializer . encoding , _conn = _conn , ** kwargs ) logger . debug ( "%s (%.4f)s" , command , time . monotonic ( ) - start ) return ret
def unique ( iterable , key = None ) : """Removes duplicates from given iterable , using given key as criterion . : param key : Key function which returns a hashable , uniquely identifying an object . : return : Iterable with duplicates removed"""
ensure_iterable ( iterable ) key = hash if key is None else ensure_callable ( key ) def generator ( ) : seen = set ( ) for elem in iterable : k = key ( elem ) if k not in seen : seen . add ( k ) yield elem return generator ( )
def read_text_file ( filename , encoding = "utf-8" ) : """Reads a file under python3 with encoding ( default UTF - 8 ) . Also works under python2 , without encoding . Uses the EAFP ( https : / / docs . python . org / 2 / glossary . html # term - eafp ) principle ."""
try : with open ( filename , 'r' , encoding ) as f : r = f . read ( ) except TypeError : with open ( filename , 'r' ) as f : r = f . read ( ) return r
def hum1_wei ( x , y , n = 24 ) : t = y - 1.0j * x cerf = 1 / sqrt ( pi ) * t / ( 0.5 + t ** 2 ) """z = x + 1j * y cerf = 1j * z / sqrt ( pi ) / ( z * * 2-0.5)"""
mask = abs ( x ) + y < 15.0 if any ( mask ) : w24 = weideman ( x [ mask ] , y [ mask ] , n ) place ( cerf , mask , w24 ) return cerf . real , cerf . imag
def _dict2schema ( dct ) : """Generate a ` marshmallow . Schema ` class given a dictionary of ` Fields < marshmallow . fields . Field > ` ."""
attrs = dct . copy ( ) if MARSHMALLOW_VERSION_INFO [ 0 ] < 3 : class Meta ( object ) : strict = True attrs [ "Meta" ] = Meta return type ( str ( "" ) , ( ma . Schema , ) , attrs )
def _modify_event ( self , event_name , method , func ) : """Wrapper to call a list ' s method from one of the events"""
if event_name not in self . ALL_EVENTS : raise TypeError ( ( 'event_name ("%s") can only be one of the ' 'following: %s' ) % ( event_name , repr ( self . ALL_EVENTS ) ) ) if not isinstance ( func , collections . Callable ) : raise TypeError ( ( 'func must be callable to be added as an ' 'observer.' ) ) getattr ...
def aside_for ( cls , view_name ) : """A decorator to indicate a function is the aside view for the given view _ name . Aside views should have a signature like : @ XBlockAside . aside _ for ( ' student _ view ' ) def student _ aside ( self , block , context = None ) : return Fragment ( . . . )"""
# pylint : disable = protected - access def _decorator ( func ) : # pylint : disable = missing - docstring if not hasattr ( func , '_aside_for' ) : func . _aside_for = [ ] func . _aside_for . append ( view_name ) # pylint : disable = protected - access return func return _decorator
def post ( self , urls = None , ** overrides ) : """Sets the acceptable HTTP method to POST"""
if urls is not None : overrides [ 'urls' ] = urls return self . where ( accept = 'POST' , ** overrides )
def connection_checker ( self ) : '''Run periodic reconnection checks'''
thread = ConnectionChecker ( self ) logger . info ( 'Starting connection-checker thread' ) thread . start ( ) try : yield thread finally : logger . info ( 'Stopping connection-checker' ) thread . stop ( ) logger . info ( 'Joining connection-checker' ) thread . join ( )
def _make_nonce ( self ) : '''Generate a unique ID for the request , 25 chars in length Returns : - str : Cryptographic nonce'''
chars = string . digits + string . ascii_letters nonce = '' . join ( random . choice ( chars ) for i in range ( 25 ) ) if self . _logging : utils . log ( 'nonce created: %s' % nonce ) return nonce
def login ( self , email = None , password = None , remember = False ) : """Authenticate user and emit event ."""
from flask_login import login_user user = self . first ( email = email ) if user is None : events . login_failed_nonexistent_event . send ( ) return False # check for account being locked if user . is_locked ( ) : raise x . AccountLocked ( locked_until = user . locked_until ) # check for email being confirm...
def add_parameter ( self , ** kwargs ) : '''Add the parameter to ` ` Parameters ` ` . * * Arguments * * The arguments are lumped into two groups : ` ` Parameters . add _ parameter ` ` and ` ` argparse . ArgumentParser . add _ argument ` ` . Parameters that are only used by ` ` Parameters . add _ parameter `...
parameter_name = max ( kwargs [ 'options' ] , key = len ) . lstrip ( '-' ) if 'dest' in kwargs : parameter_name = kwargs [ 'dest' ] group = kwargs . pop ( 'group' , 'default' ) self . groups . add ( group ) parameter_name = '.' . join ( [ group , parameter_name ] ) . lstrip ( '.' ) . replace ( '-' , '_' ) logger . ...
def bin ( y , bins ) : """bin interval / ratio data Parameters y : array ( n , q ) , values to bin bins : array ( k , 1 ) , upper bounds of each bin ( monotonic ) Returns b : array ( n , q ) , values of values between 0 and k - 1 Examples > > > import numpy as np > > > import mapclassify as mc...
if np . ndim ( y ) == 1 : k = 1 n = np . shape ( y ) [ 0 ] else : n , k = np . shape ( y ) b = np . zeros ( ( n , k ) , dtype = 'int' ) i = len ( bins ) if type ( bins ) != list : bins = bins . tolist ( ) binsc = copy . copy ( bins ) while binsc : i -= 1 c = binsc . pop ( - 1 ) b [ np . nonz...
def accept ( self , ** kws ) : """Accept a connection . The socket must be bound to an address and listening for connections . The return value is a pair ( conn , address ) where conn is a new socket object usable to send and receive data on the connection , and address is the address bound to the socket on t...
return yield_ ( Accept ( self , timeout = self . _timeout , ** kws ) )
def process_bounce ( message , notification ) : """Function to process a bounce notification"""
mail = message [ 'mail' ] bounce = message [ 'bounce' ] bounces = [ ] for recipient in bounce [ 'bouncedRecipients' ] : # Create each bounce record . Add to a list for reference later . bounces += [ Bounce . objects . create ( sns_topic = notification [ 'TopicArn' ] , sns_messageid = notification [ 'MessageId' ] , ...
def get_ecf_props ( ep_id , ep_id_ns , rsvc_id = None , ep_ts = None ) : """Prepares the ECF properties : param ep _ id : Endpoint ID : param ep _ id _ ns : Namespace of the Endpoint ID : param rsvc _ id : Remote service ID : param ep _ ts : Timestamp of the endpoint : return : A dictionary of ECF propert...
results = { } if not ep_id : raise ArgumentError ( "ep_id" , "ep_id must be a valid endpoint id" ) results [ ECF_ENDPOINT_ID ] = ep_id if not ep_id_ns : raise ArgumentError ( "ep_id_ns" , "ep_id_ns must be a valid namespace" ) results [ ECF_ENDPOINT_CONTAINERID_NAMESPACE ] = ep_id_ns if not rsvc_id : rsvc_i...
def resample ( args ) : """% prog resample yellow - catfish - resample . txt medicago - resample . txt Plot ALLMAPS performance across resampled real data ."""
p = OptionParser ( resample . __doc__ ) opts , args , iopts = p . set_image_options ( args , figsize = "8x4" , dpi = 300 ) if len ( args ) != 2 : sys . exit ( not p . print_help ( ) ) dataA , dataB = args fig = plt . figure ( 1 , ( iopts . w , iopts . h ) ) root = fig . add_axes ( [ 0 , 0 , 1 , 1 ] ) A = fig . add_...
def _bld_pnab_generic ( self , funcname , ** kwargs ) : """implement ' s a generic version of a non - attribute based pandas function"""
margs = { 'mtype' : pnab , 'kwargs' : kwargs } setattr ( self , funcname , margs )
async def get_message ( self , ignore_subscribe_messages = False , timeout = 0 ) : """Get the next message if one is available , otherwise None . If timeout is specified , the system will wait for ` timeout ` seconds before returning . Timeout should be specified as a floating point number ."""
response = await self . parse_response ( block = False , timeout = timeout ) if response : return self . handle_message ( response , ignore_subscribe_messages ) return None
def eth_sendTransaction ( self , from_ , to = None , gas = None , gas_price = None , value = None , data = None , nonce = None ) : """https : / / github . com / ethereum / wiki / wiki / JSON - RPC # eth _ sendtransaction : param from _ : From account address : type from _ : str : param to : To account address...
obj = { } obj [ 'from' ] = from_ if to is not None : obj [ 'to' ] = to if gas is not None : obj [ 'gas' ] = hex ( gas ) if gas_price is not None : obj [ 'gasPrice' ] = hex ( gas_price ) if value is not None : obj [ 'value' ] = hex ( ether_to_wei ( value ) ) if data is not None : obj [ 'data' ] = dat...
def fill_wildcards ( self , field = None , value = 0 ) : """Update wildcards attribute . This method update a wildcards considering the attributes of the current instance . Args : field ( str ) : Name of the updated field . value ( GenericType ) : New value used in the field ."""
if field in [ None , 'wildcards' ] or isinstance ( value , Pad ) : return default_value = getattr ( Match , field ) if isinstance ( default_value , IPAddress ) : if field == 'nw_dst' : shift = FlowWildCards . OFPFW_NW_DST_SHIFT base_mask = FlowWildCards . OFPFW_NW_DST_MASK else : shi...
def to_wider_model ( self , pre_layer_id , n_add ) : """Widen the last dimension of the output of the pre _ layer . Args : pre _ layer _ id : The ID of a convolutional layer or dense layer . n _ add : The number of dimensions to add ."""
self . operation_history . append ( ( "to_wider_model" , pre_layer_id , n_add ) ) pre_layer = self . layer_list [ pre_layer_id ] output_id = self . layer_id_to_output_node_ids [ pre_layer_id ] [ 0 ] dim = layer_width ( pre_layer ) self . vis = { } self . _search ( output_id , dim , dim , n_add ) # Update the tensor sha...
def entry_from_resource ( resource , client , loggers ) : """Detect correct entry type from resource and instantiate . : type resource : dict : param resource : One entry resource from API response . : type client : : class : ` ~ google . cloud . logging . client . Client ` : param client : Client that owns...
if "textPayload" in resource : return TextEntry . from_api_repr ( resource , client , loggers ) if "jsonPayload" in resource : return StructEntry . from_api_repr ( resource , client , loggers ) if "protoPayload" in resource : return ProtobufEntry . from_api_repr ( resource , client , loggers ) return LogEnt...
def write_to_output ( content , output = None , encoding = anytemplate . compat . ENCODING ) : """: param content : Content string to write to : param output : Output destination : param encoding : Character set encoding of outputs"""
if anytemplate . compat . IS_PYTHON_3 and isinstance ( content , bytes ) : content = str ( content , encoding ) if output and not output == '-' : _write_to_filepath ( content , output ) elif anytemplate . compat . IS_PYTHON_3 : print ( content ) else : print ( content . encode ( encoding . lower ( ) ) ,...
def _gti_dirint_gte_90_kt_prime ( aoi , solar_zenith , solar_azimuth , times , kt_prime ) : """Determine kt ' values to be used in GTI - DIRINT AOI > = 90 deg case . See Marion 2015 Section 2.2. For AOI > = 90 deg : average of the kt _ prime values for 65 < AOI < 80 in each day ' s morning and afternoon . Mor...
# kt _ prime values from DIRINT calculation for AOI < 90 case # set the kt _ prime from sunrise to AOI = 90 to be equal to # the kt _ prime for 65 < AOI < 80 during the morning . # similar for the afternoon . repeat for every day . aoi_gte_90 = aoi >= 90 aoi_65_80 = ( aoi > 65 ) & ( aoi < 80 ) zenith_lt_90 = solar_zeni...
def get_redirect_url ( self , request , ** kwargs ) : """Return the URL redirect to . Keyword arguments from the URL pattern match generating the redirect request are provided as kwargs to this method ."""
if self . url : url = self . url % kwargs args = request . META . get ( 'QUERY_STRING' , '' ) if args and self . query_string : url = "%s?%s" % ( url , args ) return url else : return None
def score_for_in ( self , leaderboard_name , member ) : '''Retrieve the score for a member in the named leaderboard . @ param leaderboard _ name Name of the leaderboard . @ param member [ String ] Member name . @ return the score for a member in the leaderboard or + None + if the member is not in the leaderbo...
score = self . redis_connection . zscore ( leaderboard_name , member ) if score is not None : score = float ( score ) return score
def get_original_order_unique_ids ( id_array ) : """Get the unique id ' s of id _ array , in their original order of appearance . Parameters id _ array : 1D ndarray . Should contain the ids that we want to extract the unique values from . Returns original _ order _ unique _ ids : 1D ndarray . Contains t...
assert isinstance ( id_array , np . ndarray ) assert len ( id_array . shape ) == 1 # Get the indices of the unique IDs in their order of appearance # Note the [ 1 ] is because the np . unique ( ) call will return both the sorted # unique IDs and the indices original_unique_id_indices = np . sort ( np . unique ( id_arra...
def set_title ( self , msg ) : """Set first header line text"""
self . s . move ( 0 , 0 ) self . overwrite_line ( msg , curses . A_REVERSE )
def load_model ( location ) : """Load any Turi Create model that was previously saved . This function assumes the model ( can be any model ) was previously saved in Turi Create model format with model . save ( filename ) . Parameters location : string Location of the model to load . Can be a local path or...
# Check if the location is a dir _ archive , if not , use glunpickler to load # as pure python model # If the location is a http location , skip the check , and directly proceed # to load model as dir _ archive . This is because # 1 ) exists ( ) does not work with http protocol , and # 2 ) GLUnpickler does not support ...
def set_neighbor_data ( self , neighbor_side , data , key , field ) : """Assign data from the ' key ' tile to the edge on the neighboring tile which is on the ' neighbor _ side ' of the ' key ' tile . The data is assigned to the ' field ' attribute of the neihboring tile ' s edge ."""
i = self . keys [ key ] found = False sides = [ ] if 'left' in neighbor_side : if i % self . n_cols == 0 : return None i -= 1 sides . append ( 'right' ) found = True if 'right' in neighbor_side : if i % self . n_cols == self . n_cols - 1 : return None i += 1 sides . append ( ...
def assess_itx_resistance ( job , gene_expression , univ_options , reports_options ) : """Assess the prevalence of the various genes in various cancer pathways and return a report in the txt format . : param toil . fileStore . FileID gene _ expression : fsID for the rsem gene expression file : param dict univ...
work_dir = os . getcwd ( ) tumor_type = univ_options [ 'tumor_type' ] # Get the input files input_files = { 'rsem_quant.tsv' : gene_expression , 'itx_resistance.tsv.tar.gz' : reports_options [ 'itx_resistance_file' ] , 'immune_resistance_pathways.json.tar.gz' : reports_options [ 'immune_resistance_pathways_file' ] } in...
def _compute_fixed_point_ig ( T , v , max_iter , verbose , print_skip , is_approx_fp , * args , ** kwargs ) : """Implement the imitation game algorithm by McLennan and Tourky ( 2006) for computing an approximate fixed point of ` T ` . Parameters is _ approx _ fp : callable A callable with signature ` is _ a...
if verbose == 2 : start_time = time . time ( ) _print_after_skip ( print_skip , it = None ) x_new = v y_new = T ( x_new , * args , ** kwargs ) iterate = 1 converged = is_approx_fp ( x_new ) if converged or iterate >= max_iter : if verbose == 2 : error = np . max ( np . abs ( y_new - x_new ) ) ...
def resolve_rows ( rows ) : """Recursively iterate over lists of axes merging them by their vertical overlap leaving a list of rows ."""
merged_rows = [ ] for row in rows : overlap = False for mrow in merged_rows : if any ( axis_overlap ( ax1 , ax2 ) for ax1 in row for ax2 in mrow ) : mrow += row overlap = True break if not overlap : merged_rows . append ( row ) if rows == merged_rows : ...
def print_events ( events ) : """Prints out the event log for a user"""
columns = [ 'Date' , 'Type' , 'IP Address' , 'label' , 'username' ] table = formatting . Table ( columns ) for event in events : table . add_row ( [ event . get ( 'eventCreateDate' ) , event . get ( 'eventName' ) , event . get ( 'ipAddress' ) , event . get ( 'label' ) , event . get ( 'username' ) ] ) return table
def is_valid_py_file ( path ) : '''Checks whether the file can be read by the coverage module . This is especially needed for . pyx files and . py files with syntax errors .'''
import os is_valid = False if os . path . isfile ( path ) and not os . path . splitext ( path ) [ 1 ] == '.pyx' : try : with open ( path , 'rb' ) as f : compile ( f . read ( ) , path , 'exec' ) is_valid = True except : pass return is_valid
def set_context ( self , definition : Definition , explanation : str ) -> None : """Set the source code context for this error ."""
self . definition = definition self . explanation = explanation
def _gt_from_ge ( self , other ) : """Return a > b . Computed by @ total _ ordering from ( a > = b ) and ( a ! = b ) ."""
op_result = self . __ge__ ( other ) if op_result is NotImplemented : return NotImplemented return op_result and self != other
def _unique ( list_of_dicts ) : '''Returns an unique list of dictionaries given a list that may contain duplicates .'''
unique_list = [ ] for ele in list_of_dicts : if ele not in unique_list : unique_list . append ( ele ) return unique_list
def find ( self , * args , ** kwargs ) : """Run the pymongo find command against the default database and collection and paginate the output to the screen ."""
# print ( f " database . collection : ' { self . database . name } . { self . collection . name } ' " ) self . print_cursor ( self . collection . find ( * args , ** kwargs ) )
def detect_changepoints ( points , min_time , data_processor = acc_difference ) : """Detects changepoints on points that have at least a specific duration Args : points ( : obj : ` Point ` ) min _ time ( float ) : Min time that a sub - segmented , bounded by two changepoints , must have data _ processor ( f...
data = data_processor ( points ) changepoints = pelt ( normal_mean ( data , np . std ( data ) ) , len ( data ) ) changepoints . append ( len ( points ) - 1 ) result = [ ] for start , end in pairwise ( changepoints ) : time_diff = points [ end ] . time_difference ( points [ start ] ) if time_diff > min_time : ...
def serve ( config ) : "Serve the app with Gevent"
from gevent . pywsgi import WSGIServer app = make_app ( config = config ) host = app . config . get ( "HOST" , '127.0.0.1' ) port = app . config . get ( "PORT" , 5000 ) http_server = WSGIServer ( ( host , port ) , app ) http_server . serve_forever ( )
def get_title ( src_name , src_type = None ) : """Normalizes a source name as a string to be used for viewer ' s title ."""
if src_type == 'tcp' : return '{0}:{1}' . format ( * src_name ) return os . path . basename ( src_name )
def profile_remove ( name , ** kwargs ) : """Remove profile from the storage ."""
ctx = Context ( ** kwargs ) ctx . execute_action ( 'profile:remove' , ** { 'storage' : ctx . repo . create_secure_service ( 'storage' ) , 'name' : name , } )
def mouse_release_event ( self , event ) : """Forward mouse release events to the example"""
# Support left and right mouse button for now if event . button ( ) not in [ 1 , 2 ] : return self . example . mouse_release_event ( event . x ( ) , event . y ( ) , event . button ( ) )
def datafeed ( self ) : """Return a new raw REST interface to feed resources : rtype : : py : class : ` ns1 . rest . data . Feed `"""
import ns1 . rest . data return ns1 . rest . data . Feed ( self . config )
def new_device ( device_json , abode ) : """Create new device object for the given type ."""
type_tag = device_json . get ( 'type_tag' ) if not type_tag : raise AbodeException ( ( ERROR . UNABLE_TO_MAP_DEVICE ) ) generic_type = CONST . get_generic_type ( type_tag . lower ( ) ) device_json [ 'generic_type' ] = generic_type if generic_type == CONST . TYPE_CONNECTIVITY or generic_type == CONST . TYPE_MOISTURE...
def _multiplyThroughputs ( self ) : '''Overrides base class in order to deal with opaque components .'''
index = 0 for component in self . components : if component . throughput != None : break index += 1 return BaseObservationMode . _multiplyThroughputs ( self , index )
def build_transgenic_lines ( self ) : """init class | " transgenic _ line _ source _ name " : " stock _ number " a Class add superClass | rdfs : subClassOf ilxtr : transgenicLine add * order * | ilxtr : useObjectProperty ilxtr : < order > add name | rdfs : label " name " add def | definition : " description...
triples = [ ] for cell_line in self . neuron_data : for tl in cell_line [ 'donor' ] [ 'transgenic_lines' ] : _id = tl [ 'stock_number' ] if tl [ 'stock_number' ] else tl [ 'id' ] prefix = tl [ 'transgenic_line_source_name' ] line_type = tl [ 'transgenic_line_type_name' ] if prefix no...
def match ( to_match , values , na_sentinel = - 1 ) : """Compute locations of to _ match into values Parameters to _ match : array - like values to find positions of values : array - like Unique set of values na _ sentinel : int , default - 1 Value to mark " not found " Examples Returns match : ...
values = com . asarray_tuplesafe ( values ) htable , _ , values , dtype , ndtype = _get_hashtable_algo ( values ) to_match , _ , _ = _ensure_data ( to_match , dtype ) table = htable ( min ( len ( to_match ) , 1000000 ) ) table . map_locations ( values ) result = table . lookup ( to_match ) if na_sentinel != - 1 : # rep...
def install_monitor ( self , mon ) : """Installs monitor on all executors"""
assert self . binded self . _monitor = mon for mod in self . _buckets . values ( ) : mod . install_monitor ( mon )
def readACTIONRECORDs ( self ) : """Read zero or more button records ( zero - terminated )"""
out = [ ] while 1 : action = self . readACTIONRECORD ( ) if action : out . append ( action ) else : break return out
def subvol_delete ( self , path ) : """Delete a btrfs subvolume in the specified path : param path : path to delete"""
args = { 'path' : path } self . _subvol_chk . check ( args ) self . _client . sync ( 'btrfs.subvol_delete' , args )
def filter_connection_params ( queue_params ) : """Filters the queue params to keep only the connection related params ."""
CONNECTION_PARAMS = ( 'URL' , 'DB' , 'USE_REDIS_CACHE' , 'UNIX_SOCKET_PATH' , 'HOST' , 'PORT' , 'PASSWORD' , 'SENTINELS' , 'MASTER_NAME' , 'SOCKET_TIMEOUT' , 'SSL' , 'CONNECTION_KWARGS' , ) # return { p : v for p , v in queue _ params . items ( ) if p in CONNECTION _ PARAMS } # Dict comprehension compatible with python...
def add_mapped_chain_ids ( self , mapped_chains ) : """Add chains by ID into the mapped _ chains attribute Args : mapped _ chains ( str , list ) : Chain ID or list of IDs"""
mapped_chains = ssbio . utils . force_list ( mapped_chains ) for c in mapped_chains : if c not in self . mapped_chains : self . mapped_chains . append ( c ) log . debug ( '{}: added to list of mapped chains' . format ( c ) ) else : log . debug ( '{}: chain already in list of mapped chain...
def getStates ( self ) : '''Calculates updated values of normalized market resources and permanent income level for each agent . Uses pLvlNow , aNrmNow , PermShkNow , TranShkNow . Parameters None Returns None'''
pLvlPrev = self . pLvlNow aNrmPrev = self . aNrmNow RfreeNow = self . getRfree ( ) # Calculate new states : normalized market resources and permanent income level self . pLvlNow = pLvlPrev * self . PermShkNow # Updated permanent income level self . PlvlAggNow = self . PlvlAggNow * self . PermShkAggNow # Updated aggrega...
def _get_next_date_from_partial_date ( partial_date ) : """Calculates the next date from the given partial date . Args : partial _ date ( inspire _ utils . date . PartialDate ) : The partial date whose next date should be calculated . Returns : PartialDate : The next date from the given partial date ."""
relativedelta_arg = 'years' if partial_date . month : relativedelta_arg = 'months' if partial_date . day : relativedelta_arg = 'days' next_date = parse ( partial_date . dumps ( ) ) + relativedelta ( ** { relativedelta_arg : 1 } ) return PartialDate . from_parts ( next_date . year , next_date . month if partial_...
def event_lookup_query ( self , id , ** kwargs ) : """Query the Yelp Event Lookup API . documentation : https : / / www . yelp . com / developers / documentation / v3 / event required parameters : * id - event ID"""
if not id : raise ValueError ( 'A valid event ID (parameter "id") must be provided.' ) return self . _query ( EVENT_LOOKUP_API_URL . format ( id ) , ** kwargs )
def get_all_for_bc_set_record ( self , id , ** kwargs ) : """Gets running Build Records for a specific Build Configuration Set Record . This method makes a synchronous HTTP request by default . To make an asynchronous HTTP request , please define a ` callback ` function to be invoked when receiving the respon...
kwargs [ '_return_http_data_only' ] = True if kwargs . get ( 'callback' ) : return self . get_all_for_bc_set_record_with_http_info ( id , ** kwargs ) else : ( data ) = self . get_all_for_bc_set_record_with_http_info ( id , ** kwargs ) return data
def _changeMs ( self , line ) : """Change the ms part in the string if needed ."""
# use the position of the last space instead try : last_space_pos = line . rindex ( ' ' ) except ValueError : return line else : end_str = line [ last_space_pos : ] new_string = line if end_str [ - 2 : ] == 'ms' and int ( end_str [ : - 2 ] ) >= 1000 : # isolate the number of milliseconds ms ...
def presplit ( host , database , collection , shardkey , shardnumber = None , chunkspershard = 1 , verbose = False ) : """Presplit chunks for sharding . Get information about the number of shards , then split chunks and distribute over shards . Currently assumes shardkey to be hex string , for example ObjectI...
con = Connection ( host ) namespace = '%s.%s' % ( database , collection ) # disable balancer con [ 'config' ] [ 'settings' ] . update ( { '_id' : "balancer" } , { '$set' : { 'stopped' : True } } , upsert = True ) # enable sharding on database if not yet enabled db_info = con [ 'config' ] [ 'databases' ] . find_one ( { ...
def parse_sitelist ( sitelist ) : """Return list of Site instances from retrieved sitelist data"""
sites = [ ] for site in sitelist [ "Locations" ] [ "Location" ] : try : ident = site [ "id" ] name = site [ "name" ] except KeyError : ident = site [ "@id" ] # Difference between loc - spec and text for some reason name = site [ "@name" ] if "latitude" in site : ...
def add_chapter ( self , c ) : """Add a Chapter to your epub . Args : c ( Chapter ) : A Chapter object representing your chapter . Raises : TypeError : Raised if a Chapter object isn ' t supplied to this method ."""
try : assert type ( c ) == chapter . Chapter except AssertionError : raise TypeError ( 'chapter must be of type Chapter' ) chapter_file_output = os . path . join ( self . OEBPS_DIR , self . current_chapter_path ) c . _replace_images_in_chapter ( self . OEBPS_DIR ) c . write ( chapter_file_output ) self . _incre...
def get_item_mdata ( ) : """Return default mdata map for Item"""
return { 'learning_objectives' : { 'element_label' : { 'text' : 'learning objectives' , 'languageTypeId' : str ( DEFAULT_LANGUAGE_TYPE ) , 'scriptTypeId' : str ( DEFAULT_SCRIPT_TYPE ) , 'formatTypeId' : str ( DEFAULT_FORMAT_TYPE ) , } , 'instructions' : { 'text' : 'accepts an osid.id.Id[] object' , 'languageTypeId' : s...
def create_keyspace_network_topology ( name , dc_replication_map , durable_writes = True , connections = None ) : """Creates a keyspace with NetworkTopologyStrategy for replica placement If the keyspace already exists , it will not be modified . * * This function should be used with caution , especially in prod...
_create_keyspace ( name , durable_writes , 'NetworkTopologyStrategy' , dc_replication_map , connections = connections )
def multiloss ( losses , logging_namespace = "multiloss" , exclude_from_weighting = [ ] ) : """Create a loss from multiple losses my mixing them . This multi - loss implementation is inspired by the Paper " Multi - Task Learning Using Uncertainty to Weight Losses for Scene Geometry and Semantics " by Kendall , ...
with tf . variable_scope ( logging_namespace ) : sum_loss = 0 for loss_name , loss in losses . items ( ) : if loss_name not in exclude_from_weighting : with tf . variable_scope ( loss_name ) as scope : sum_loss += variance_corrected_loss ( loss ) else : su...
def _call ( self , x , out = None ) : """Apply operators to ` ` x ` ` and sum ."""
if out is None : return self . prod_op ( x ) [ 0 ] else : wrapped_out = self . prod_op . range . element ( [ out ] , cast = False ) pspace_result = self . prod_op ( x , out = wrapped_out ) return pspace_result [ 0 ]
def replace_cluster_role_binding ( self , name , body , ** kwargs ) : """replace the specified ClusterRoleBinding This method makes a synchronous HTTP request by default . To make an asynchronous HTTP request , please pass async _ req = True > > > thread = api . replace _ cluster _ role _ binding ( name , bod...
kwargs [ '_return_http_data_only' ] = True if kwargs . get ( 'async_req' ) : return self . replace_cluster_role_binding_with_http_info ( name , body , ** kwargs ) else : ( data ) = self . replace_cluster_role_binding_with_http_info ( name , body , ** kwargs ) return data
def get_term_and_background_counts ( self ) : '''Returns A pd . DataFrame consisting of unigram term counts of words occurring in the TermDocumentMatrix and their corresponding background corpus counts . The dataframe has two columns , corpus and background . > > > corpus . get _ unigram _ corpus . get _ te...
background_df = self . _get_background_unigram_frequencies ( ) corpus_freq_df = pd . DataFrame ( { 'corpus' : self . term_category_freq_df . sum ( axis = 1 ) } ) corpus_unigram_freq = corpus_freq_df . loc [ [ w for w in corpus_freq_df . index if ' ' not in w ] ] df = corpus_unigram_freq . join ( background_df , how = '...
def channels_kick ( self , room_id , user_id , ** kwargs ) : """Removes a user from the channel ."""
return self . __call_api_post ( 'channels.kick' , roomId = room_id , userId = user_id , kwargs = kwargs )
def getReflexRuleConditionElement ( self , set_idx = 0 , row_idx = 0 , element = '' ) : """Returns the expected value saved in the action list object . : set _ idx : it is an integer with the position of the reflex rules set in the widget ' s list . : row _ idx : is an integer with the numer of the row from t...
if isinstance ( set_idx , str ) : set_idx = int ( set_idx ) if isinstance ( row_idx , str ) : row_idx = int ( row_idx ) cond = self . getReflexRuleElement ( idx = set_idx , element = 'conditions' ) return cond [ row_idx ] . get ( element , '' )
def find_identifiers ( src ) : """Search for a valid identifier ( DOI , ISBN , arXiv , HAL ) in a given file . . . note : : This function returns the first matching identifier , that is the most likely to be relevant for this file . However , it may fail and return an identifier taken from the references or...
if src . endswith ( ".pdf" ) : totext = subprocess . Popen ( [ "pdftotext" , src , "-" ] , stdout = subprocess . PIPE , stderr = subprocess . PIPE , bufsize = 1 ) elif src . endswith ( ".djvu" ) : totext = subprocess . Popen ( [ "djvutxt" , src ] , stdout = subprocess . PIPE , stderr = subprocess . PIPE , bufsi...
def limit_order ( self , direction , quantity , price , ** kwargs ) : """Shortcut for ` ` instrument . order ( . . . ) ` ` and accepts all of its ` optional parameters < # qtpylib . instrument . Instrument . order > ` _ : Parameters : direction : string Order Type ( BUY / SELL , EXIT / FLATTEN ) quantity ...
kwargs [ 'limit_price' ] = price kwargs [ 'order_type' ] = "LIMIT" self . parent . order ( direction . upper ( ) , self , quantity = quantity , ** kwargs )
def parse_a_hall ( self , hall ) : """Return names , hall numbers , and the washers / dryers available for a certain hall . : param hall : The ID of the hall to retrieve data for . : type hall : int"""
if hall not in self . hall_to_link : return None # change to to empty json idk page = requests . get ( self . hall_to_link [ hall ] , timeout = 60 ) soup = BeautifulSoup ( page . content , 'html.parser' ) soup . prettify ( ) washers = { "open" : 0 , "running" : 0 , "out_of_order" : 0 , "offline" : 0 , "time_rem...
def unit_ball_L_inf ( shape , precondition = True ) : """A tensorflow variable tranfomed to be constrained in a L _ inf unit ball . Note that this code also preconditions the gradient to go in the L _ inf direction of steepest descent . EXPERIMENTAL : Do not use for adverserial examples if you need to be conf...
x = tf . Variable ( tf . zeros ( shape ) ) if precondition : return constrain_L_inf_precondition ( x ) else : return constrain_L_inf ( x )