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def to_internal_filter ( self , attribute_profile , external_attribute_names ) : """Converts attribute names from external " type " to internal : type attribute _ profile : str : type external _ attribute _ names : list [ str ] : type case _ insensitive : bool : rtype : list [ str ] : param attribute _ pr...
try : profile_mapping = self . to_internal_attributes [ attribute_profile ] except KeyError : logger . warn ( "no attribute mapping found for the given attribute profile '%s'" , attribute_profile ) # no attributes since the given profile is not configured return [ ] internal_attribute_names = set ( ) # ...
def imap ( requests , stream = False , size = 2 , exception_handler = None ) : """Concurrently converts a generator object of Requests to a generator of Responses . : param requests : a generator of Request objects . : param stream : If True , the content will not be downloaded immediately . : param size : ...
pool = Pool ( size ) def send ( r ) : return r . send ( stream = stream ) for request in pool . imap_unordered ( send , requests ) : if request . response is not None : yield request . response elif exception_handler : ex_result = exception_handler ( request , request . exception ) i...
def _computeAsymptoticCovarianceMatrix ( self , W , N_k , method = None ) : """Compute estimate of the asymptotic covariance matrix . Parameters W : np . ndarray , shape = ( N , K ) , dtype = ' float ' The normalized weight matrix for snapshots and states . W [ n , k ] is the weight of snapshot n in state k...
# Set ' svd - ew ' as default if uncertainty method specified as None . if method == None : method = 'svd-ew' # Get dimensions of weight matrix . [ N , K ] = W . shape # Check dimensions if ( K != N_k . size ) : raise ParameterError ( 'W must be NxK, where N_k is a K-dimensional array.' ) if ( np . sum ( N_k ) ...
def singleton ( * args , ** kwargs ) : '''a lazy init singleton pattern . usage : ` ` ` py @ singleton ( ) class X : . . . ` args ` and ` kwargs ` will pass to ctor of ` X ` as args .'''
def decorator ( cls : type ) -> Callable [ [ ] , object ] : if issubclass ( type ( cls ) , _SingletonMetaClassBase ) : raise TypeError ( 'cannot inherit from another singleton class.' ) box = _Box ( ) factory = None lock = Lock ( ) def metaclass_call ( _ ) : if box . value is None : ...
def _send_message ( self , method , endpoint , params = None , data = None ) : """Send API request . Args : method ( str ) : HTTP method ( get , post , delete , etc . ) endpoint ( str ) : Endpoint ( to be added to base URL ) params ( Optional [ dict ] ) : HTTP request parameters data ( Optional [ str ] ) ...
url = self . url + endpoint r = self . session . request ( method , url , params = params , data = data , auth = self . auth , timeout = 30 ) return r . json ( )
def to_file_async ( self , destination , format = 'csv' , csv_delimiter = ',' , csv_header = True ) : """Start saving the results to a local file in CSV format and return a Job for completion . Args : destination : path on the local filesystem for the saved results . format : the format to use for the exporte...
self . to_file ( destination , format = format , csv_delimiter = csv_delimiter , csv_header = csv_header )
def list_subdirs ( self , container , marker = None , limit = None , prefix = None , delimiter = None , full_listing = False ) : """Returns a list of StorageObjects representing the pseudo - subdirectories in the specified container . You can use the marker and limit params to handle pagination , and the prefix...
mthd = container . list_all if full_listing else container . list objs = mthd ( marker = marker , limit = limit , prefix = prefix , delimiter = "/" , return_raw = True ) sdirs = [ obj for obj in objs if "subdir" in obj ] mgr = container . object_manager return [ StorageObject ( mgr , sdir ) for sdir in sdirs ]
def unwrap_or_else ( self , callback : Callable [ [ ] , U ] ) -> Union [ T , U ] : """Returns the contained value or computes it from ` ` callback ` ` . Args : callback : The the default callback . Returns : The contained value if the : py : class : ` Option ` is ` ` Some ` ` , otherwise ` ` callback ( ) ...
return self . _val if self . _is_some else callback ( )
def trim_shared_prefix ( ref , alt ) : """Sometimes mutations are given with a shared prefix between the reference and alternate strings . Examples : C > CT ( nucleotides ) or GYFP > G ( amino acids ) . This function trims the common prefix and returns the disjoint ref and alt strings , along with the shared ...
n_ref = len ( ref ) n_alt = len ( alt ) n_min = min ( n_ref , n_alt ) i = 0 while i < n_min and ref [ i ] == alt [ i ] : i += 1 # guaranteed that ref and alt agree on all the characters # up to i ' th position , so it doesn ' t matter which one we pull # the prefix out of prefix = ref [ : i ] ref_suffix = ref [ i :...
def get_all_file_report_pages ( self , query ) : """Get File Report ( All Pages ) . : param query : a VirusTotal Intelligence search string in accordance with the file search documentation . : return : All JSON responses appended together ."""
responses = [ ] r = self . get_hashes_from_search ( query ) responses . append ( r ) if ( 'results' in r . keys ( ) ) and ( 'next_page' in r [ 'results' ] . keys ( ) ) : next_page = r [ 'results' ] [ 'next_page' ] else : next_page = None while next_page : r = self . get_hashes_from_search ( query , next_pag...
def argmin ( iterable , key = None , both = False ) : """See ` argmax ` ."""
if key is not None : it = imap ( key , iterable ) else : it = iter ( iterable ) score , argmin = reduce ( min , izip ( it , count ( ) ) ) if both : return argmin , score return argmin
def get_elastic_items_search ( elastic , search_after = None , size = None ) : """Get the items from the index using search after scrolling"""
if not size : size = DEFAULT_LIMIT url = elastic . index_url + "/_search" search_after_query = '' if search_after : logging . debug ( "Search after: %s" , search_after ) # timestamp uuid search_after_query = ', "search_after": [%i, "%s"] ' % ( search_after [ 0 ] , search_after [ 1 ] ) query = """ { ...
def importRemoteSNPs ( name ) : """Import a SNP set available from http : / / pygeno . iric . ca ( might work ) ."""
try : dw = listRemoteDatawraps ( ) [ "Flat" ] [ "SNPs" ] except AttributeError : raise AttributeError ( "There's no remote genome datawrap by the name of: '%s'" % name ) finalFile = _DW ( name , dw [ "url" ] ) PS . importSNPs ( finalFile )
def open_image ( fname_or_instance : Union [ str , IO [ bytes ] ] ) : """Opens a Image and returns it . : param fname _ or _ instance : Can either be the location of the image as a string or the Image . Image instance itself ."""
if isinstance ( fname_or_instance , Image . Image ) : return fname_or_instance return Image . open ( fname_or_instance )
def parseTextModeTimeStr ( timeStr ) : """Parses the specified SMS text mode time string The time stamp format is " yy / MM / dd , hh : mm : ss ± zz " ( yy = year , MM = month , dd = day , hh = hour , mm = minute , ss = second , zz = time zone [ Note : the unit of time zone is a quarter of an hour ] ) : par...
msgTime = timeStr [ : - 3 ] tzOffsetHours = int ( int ( timeStr [ - 3 : ] ) * 0.25 ) return datetime . strptime ( msgTime , '%y/%m/%d,%H:%M:%S' ) . replace ( tzinfo = SimpleOffsetTzInfo ( tzOffsetHours ) )
def read ( self ) : """Reads the contents of the GPFile and returns the contents as a string ( assumes UTF - 8)"""
with closing ( self . open ( ) ) as f : data = f . read ( ) return data . decode ( "utf-8" ) or None
def is_conflicting ( self ) : """If installed version conflicts with required version"""
# unknown installed version is also considered conflicting if self . installed_version == self . UNKNOWN_VERSION : return True ver_spec = ( self . version_spec if self . version_spec else '' ) req_version_str = '{0}{1}' . format ( self . project_name , ver_spec ) req_obj = pkg_resources . Requirement . parse ( req_...
def add_entry ( self , net_type , cn , addresses ) : """Add a request to the batch : param net _ type : str netwrok space name request is for : param cn : str Canonical Name for certificate : param addresses : [ ] List of addresses to be used as SANs"""
self . entries . append ( { 'cn' : cn , 'addresses' : addresses } )
def client_factory ( self ) : """Custom client factory to set proxy options ."""
if self . _service . production : url = self . production_url else : url = self . testing_url proxy_options = dict ( ) https_proxy_setting = os . environ . get ( 'PAYEX_HTTPS_PROXY' ) or os . environ . get ( 'https_proxy' ) http_proxy_setting = os . environ . get ( 'PAYEX_HTTP_PROXY' ) or os . environ . get ( '...
def all ( self , count = 500 , offset = 0 , type = None , inactive = None , emailFilter = None , tag = None , messageID = None , fromdate = None , todate = None , ) : """Returns many bounces . : param int count : Number of bounces to return per request . : param int offset : Number of bounces to skip . : para...
responses = self . call_many ( "GET" , "/bounces/" , count = count , offset = offset , type = type , inactive = inactive , emailFilter = emailFilter , tag = tag , messageID = messageID , fromdate = fromdate , todate = todate , ) return self . expand_responses ( responses , "Bounces" )
def delete_fastqs ( job , fastqs ) : """This module will delete the fastqs from teh job Store once their purpose has been achieved ( i . e . after all mapping steps ) ARGUMENTS 1 . fastqs : Dict of list of input fastqs fastqs + - ' tumor _ rna ' : [ < JSid for 1 . fastq > , < JSid for 2 . fastq > ] + - ...
for fq_type in [ 'tumor_rna' , 'tumor_dna' , 'normal_dna' ] : for i in xrange ( 0 , 2 ) : job . fileStore . deleteGlobalFile ( fastqs [ fq_type ] [ i ] ) return None
def histogram ( n_traces = 1 , n = 500 , dispersion = 2 , mode = None ) : """Returns a DataFrame with the required format for a histogram plot Parameters : n _ traces : int Number of traces n : int Number of points for each trace mode : string Format for each item ' abc ' for alphabet columns ' ...
df = pd . DataFrame ( np . transpose ( [ np . random . randn ( n ) + np . random . randint ( - 1 * dispersion , dispersion ) for _ in range ( n_traces ) ] ) , columns = getName ( n_traces , mode = mode ) ) return df
def migrate ( vm_ , target , live = 1 , port = 0 , node = - 1 , ssl = None , change_home_server = 0 ) : '''Migrates the virtual machine to another hypervisor CLI Example : . . code - block : : bash salt ' * ' virt . migrate < vm name > < target hypervisor > [ live ] [ port ] [ node ] [ ssl ] [ change _ home _...
with _get_xapi_session ( ) as xapi : vm_uuid = _get_label_uuid ( xapi , 'VM' , vm_ ) if vm_uuid is False : return False other_config = { 'port' : port , 'node' : node , 'ssl' : ssl , 'change_home_server' : change_home_server } try : xapi . VM . migrate ( vm_uuid , target , bool ( live ) ...
def _nodes ( output , parent = None ) : """Yield nodes from entities ."""
# NOTE refactor so all outputs behave the same entity = getattr ( output , 'entity' , output ) if isinstance ( entity , Collection ) : for member in entity . members : if parent is not None : member = attr . evolve ( member , parent = parent ) yield from _nodes ( member ) yield outpu...
def set_params ( self , ** params ) : """Set parameters on this object Safe setter method - attributes should not be modified directly as some changes are not valid . Valid parameters : - n _ landmark - n _ svd Parameters params : key - value pairs of parameter name and new values Returns self"""
# update parameters reset_landmarks = False if 'n_landmark' in params and params [ 'n_landmark' ] != self . n_landmark : self . n_landmark = params [ 'n_landmark' ] reset_landmarks = True if 'n_svd' in params and params [ 'n_svd' ] != self . n_svd : self . n_svd = params [ 'n_svd' ] reset_landmarks = Tr...
def _recursive_url_find ( self , item , image_list ) : """Recursively traverses a dictionary - like data structure for Khan Academy assessment items in order to search for image links in ` url ` data attributes , and if it finds any it adds them to ` image _ list ` and rewrites ` url ` attribute . Use cases :...
recursive_fn = partial ( self . _recursive_url_find , image_list = image_list ) if isinstance ( item , list ) : list ( map ( recursive_fn , item ) ) elif isinstance ( item , dict ) : if 'url' in item : if item [ 'url' ] : item [ 'url' ] , image_file = self . set_image ( item [ 'url' ] ) ...
def UGT ( a : BitVec , b : BitVec ) -> Bool : """Create an unsigned greater than expression . : param a : : param b : : return :"""
return _comparison_helper ( a , b , z3 . UGT , default_value = False , inputs_equal = False )
def argument_run ( self , sp_r ) : """. . _ argument _ run : Converts Arguments according to ` ` to _ int ` `"""
arg_run = [ ] for line in sp_r : logging . debug ( "argument run: handling: " + str ( line ) ) if ( line [ 1 ] == "data" ) : arg_run . append ( ( line [ 0 ] , line [ 1 ] , line [ 2 ] , line [ 2 ] . get_words ( line [ 3 ] ) ) ) continue if ( line [ 1 ] == "command" ) : self . checkarg...
async def fetchall ( self ) : """Fetch all , as per MySQLdb . Pretty useless for large queries , as it is buffered ."""
rows = [ ] while True : row = await self . fetchone ( ) if row is None : break rows . append ( row ) return rows
def check_dependencies ( req , indent = 1 , history = None ) : """Given a setuptools package requirement ( e . g . ' gryphon = = 2.42 ' or just ' gryphon ' ) , print a tree of dependencies as they resolve in this environment ."""
# keep a history to avoid infinite loops if history is None : history = set ( ) if req in history : return history . add ( req ) d = pkg_resources . get_distribution ( req ) extras = parse_extras ( req ) if indent == 1 : print_package ( req , 0 ) for r in d . requires ( extras = extras ) : print_package...
def on_number ( self , ctx , value ) : '''Since this is defined both integer and double callbacks are useless'''
value = int ( value ) if value . isdigit ( ) else float ( value ) top = self . _stack [ - 1 ] if top is JSONCompositeType . OBJECT : self . fire ( JSONStreamer . VALUE_EVENT , value ) elif top is JSONCompositeType . ARRAY : self . fire ( JSONStreamer . ELEMENT_EVENT , value ) else : raise RuntimeError ( 'In...
def to_split ( val , split_on_comma = True ) : """Try to split a string with comma separator . If val is already a list return it If we don ' t have to split just return [ val ] If split gives only [ ' ' ] empty it : param val : value to split : type val : : param split _ on _ comma : : type split _ o...
if isinstance ( val , list ) : return val if not split_on_comma : return [ val ] val = val . split ( ',' ) if val == [ '' ] : val = [ ] return val
def get_config ( self , key , default = None ) : '''Lookup a config field and return its value , first checking the route . config , then route . app . config .'''
for conf in ( self . config , self . app . conifg ) : if key in conf : return conf [ key ] return default
def register_method ( self , func ) : """Register a function to be available as RPC method . The given function will be inspected to find external _ name , protocol and entry _ point values set by the decorator @ rpc _ method . : param func : A function previously decorated using @ rpc _ method : return : T...
if not getattr ( func , 'modernrpc_enabled' , False ) : raise ImproperlyConfigured ( 'Error: trying to register {} as RPC method, but it has not been decorated.' . format ( func . __name__ ) ) # Define the external name of the function name = getattr ( func , 'modernrpc_name' , func . __name__ ) logger . debug ( 'R...
def stop ( self , timeout = None ) : """Stop the producer ( async mode ) . Blocks until async thread completes ."""
if timeout is not None : log . warning ( 'timeout argument to stop() is deprecated - ' 'it will be removed in future release' ) if not self . async_send : log . warning ( 'producer.stop() called, but producer is not async' ) return if self . stopped : log . warning ( 'producer.stop() called, but produce...
async def reboot ( self ) : """Reboot the device ."""
endpoint = '/setup/reboot' url = API . format ( ip = self . _ipaddress , endpoint = endpoint ) data = { 'params' : 'now' } returnvalue = False try : async with async_timeout . timeout ( 5 , loop = self . _loop ) : result = await self . _session . post ( url , json = data , headers = HEADERS ) if res...
def auto_start_vm ( self ) : """Auto start the GNS3 VM if require"""
if self . enable : try : yield from self . start ( ) except GNS3VMError as e : # User will receive the error later when they will try to use the node try : yield from self . _controller . add_compute ( compute_id = "vm" , name = "GNS3 VM ({})" . format ( self . current_engine ( ) . v...
def get_file ( self , file_id ) : """Use this method to get basic info about a file and prepare it for downloading . For the moment , bots can download files of up to 20MB in size . On success , a File object is returned . The file can then be downloaded via the link https : / / api . telegram . org / file / bot < ...
assert_type_or_raise ( file_id , unicode_type , parameter_name = "file_id" ) result = self . do ( "getFile" , file_id = file_id ) if self . return_python_objects : logger . debug ( "Trying to parse {data}" . format ( data = repr ( result ) ) ) from pytgbot . api_types . receivable . media import File try : ...
def list_and_add ( a , b ) : """Concatenate anything into a list . Args : a : the first thing b : the second thing Returns : list . All the things in a list ."""
if not isinstance ( b , list ) : b = [ b ] if not isinstance ( a , list ) : a = [ a ] return a + b
def keep_frameshifts ( mut_df , indel_len_col = True ) : """Filters out all mutations that are not frameshift indels . Requires that one of the alleles have ' - ' indicating either an insertion or deletion depending if found in reference allele or somatic allele columns , respectively . Parameters mut _ d...
# keep only frameshifts mut_df = mut_df [ is_frameshift_annotation ( mut_df ) ] if indel_len_col : # calculate length mut_df . loc [ : , 'indel len' ] = compute_indel_length ( mut_df ) return mut_df
def shift_or_mirror_into_invertible_domain ( self , solution_genotype , copy = False ) : """Details : input ` ` solution _ genotype ` ` is changed . The domain is [ lb - al , ub + au ] and in [ lb - 2 * al - ( ub - lb ) / 2 , lb - al ] mirroring is applied ."""
assert solution_genotype is not None if copy : y = [ val for val in solution_genotype ] else : y = solution_genotype if isinstance ( y , np . ndarray ) and not isinstance ( y [ 0 ] , float ) : y = array ( y , dtype = float ) for i in rglen ( y ) : lb = self . _lb [ self . _index ( i ) ] ub = self . ...
def vi_pos_matching ( line , index = 0 ) : '''find matching < ( [ { } ] ) >'''
anchor = None target = None delta = 1 count = 0 try : while 1 : if anchor is None : # first find anchor try : target , delta = _vi_dct_matching [ line [ index ] ] anchor = line [ index ] count = 1 except KeyError : index...
def encode ( self , text , encoding , defaultchar = '?' ) : """Encode text under the given encoding : param text : Text to encode : param encoding : Encoding name to use ( must be defined in capabilities ) : param defaultchar : Fallback for non - encodable characters"""
codepage_char_map = self . _get_codepage_char_map ( encoding ) output_bytes = bytes ( [ self . _encode_char ( char , codepage_char_map , defaultchar ) for char in text ] ) return output_bytes
def _do_bgread ( stream , blockSizeLimit , pollTime , closeStream , results ) : '''_ do _ bgread - Worker functon for the background read thread . @ param stream < object > - Stream to read until closed @ param results < BackgroundReadData >'''
# Put the whole function in a try instead of just the read portion for performance reasons . try : while True : nextData = nonblock_read ( stream , limit = blockSizeLimit ) if nextData is None : break elif nextData : results . addBlock ( nextData ) time . slee...
def citedReferencesRetrieve ( self , queryId , count = 100 , offset = 1 , retrieveParameters = None ) : """The citedReferencesRetrieve operation submits a query returned by a previous citedReferences operation . This operation is useful for overcoming the retrieval limit of 100 records per query . For example...
return self . _search . service . citedReferencesRetrieve ( queryId = queryId , retrieveParameters = ( retrieveParameters or self . make_retrieveParameters ( offset , count ) ) )
def parse_reports ( self ) : """Find Picard RrbsSummaryMetrics reports and parse their data"""
# Set up vars self . picard_rrbs_metrics = dict ( ) # Go through logs and find Metrics for f in self . find_log_files ( 'picard/rrbs_metrics' , filehandles = True ) : parsed_data = dict ( ) s_name = None keys = None for l in f [ 'f' ] : # New log starting if 'CollectRrbsMetrics' in l and 'INPUT'...
def get_volume ( self , channel = None ) : """Gets the current sound volume by parsing the output of ` ` amixer get < channel > ` ` . If the channel is not specified , it tries to determine the default one by running ` ` amixer scontrols ` ` . If that fails as well , it uses the ` ` Playback ` ` channel , a...
if channel is None : channel = self . _get_channel ( ) out = check_output ( [ 'amixer' , 'get' , channel ] ) . decode ( ) m = re . search ( r'\[(?P<volume>\d+)%\]' , out ) if m : return int ( m . group ( 'volume' ) ) else : raise Exception ( 'Failed to parse output of `amixer get {}`' . format ( channel ) )
def prepare_sort_key ( self ) : '''Triggered by view _ function . _ sort _ converters when our sort key should be created . This can ' t be called in the constructor because Django models might not be ready yet .'''
if isinstance ( self . convert_type , str ) : try : app_name , model_name = self . convert_type . split ( '.' ) except ValueError : raise ImproperlyConfigured ( '"{}" is not a valid converter type. String-based converter types must be specified in "app.Model" format.' . format ( self . convert_t...
def get_vmpolicy_macaddr_input_vcenter ( self , ** kwargs ) : """Auto Generated Code"""
config = ET . Element ( "config" ) get_vmpolicy_macaddr = ET . Element ( "get_vmpolicy_macaddr" ) config = get_vmpolicy_macaddr input = ET . SubElement ( get_vmpolicy_macaddr , "input" ) vcenter = ET . SubElement ( input , "vcenter" ) vcenter . text = kwargs . pop ( 'vcenter' ) callback = kwargs . pop ( 'callback' , se...
def invite_other_parties ( self , possible_owners ) : """Invites the next lane ' s ( possible ) owner ( s ) to participate"""
signals . lane_user_change . send ( sender = self . user , current = self , old_lane = self . old_lane , possible_owners = possible_owners )
def new_cast_status ( self , status ) : """Called when a new status received from the Chromecast ."""
self . status = status if status : self . status_event . set ( )
def is_modified_field ( self , name ) : """Returns whether a field is modified or not"""
name = self . get_real_name ( name ) if name in self . __modified_data__ or name in self . __deleted_fields__ : return True try : return self . get_field_value ( name ) . is_modified ( ) except Exception : return False
def notify_server_ready ( self , language , config ) : """Notify language server availability to code editors ."""
for index in range ( self . get_stack_count ( ) ) : editor = self . tabs . widget ( index ) if editor . language . lower ( ) == language : editor . start_lsp_services ( config )
def on_each ( self , * targets : raw_types . Qid ) -> op_tree . OP_TREE : """Returns a list of operations apply this gate to each of the targets . Args : * targets : The qubits to apply this gate to . Returns : Operations applying this gate to the target qubits . Raises : ValueError if targets are not i...
return [ self . on ( target ) for target in targets ]
def setup_signing ( self , secret_key , sign_outgoing = True , allow_unsigned_callback = None , initial_timestamp = None , link_id = None ) : '''setup for MAVLink2 signing'''
self . mav . signing . secret_key = secret_key self . mav . signing . sign_outgoing = sign_outgoing self . mav . signing . allow_unsigned_callback = allow_unsigned_callback if link_id is None : # auto - increment the link _ id for each link global global_link_id link_id = global_link_id global_link_id = min...
def parse_node ( node ) : """Input : a serialized node"""
if node is None or node == b'' : raise InvalidNode ( "Blank node is not a valid node type in Binary Trie" ) elif node [ 0 ] == BRANCH_TYPE : if len ( node ) != 65 : raise InvalidNode ( "Invalid branch node, both child node should be 32 bytes long each" ) # Output : node type , left child , right chi...
def calculate_offset ( cls , labels ) : '''Return the maximum length of the provided strings that have a nice variant in DapFormatter . _ nice _ strings'''
used_strings = set ( cls . _nice_strings . keys ( ) ) & set ( labels ) return max ( [ len ( cls . _nice_strings [ s ] ) for s in used_strings ] )
def remove_import_statements ( code ) : """Removes lines with import statements from the code . Args : code : The code to be stripped . Returns : The code without import statements ."""
new_code = [ ] for line in code . splitlines ( ) : if not line . lstrip ( ) . startswith ( 'import ' ) and not line . lstrip ( ) . startswith ( 'from ' ) : new_code . append ( line ) while new_code and new_code [ 0 ] == '' : new_code . pop ( 0 ) while new_code and new_code [ - 1 ] == '' : new_code ....
def run ( self , args ) : """Main entry point of script"""
logging . basicConfig ( stream = sys . stdout , level = logging . INFO ) configuration = self . configuration configuration . locale_dir . parent . makedirs_p ( ) # pylint : disable = attribute - defined - outside - init self . source_msgs_dir = configuration . source_messages_dir # The extraction process clobbers djan...
def batch_get_item ( self , batch_list ) : """Return a set of attributes for a multiple items in multiple tables using their primary keys . : type batch _ list : : class : ` boto . dynamodb . batch . BatchList ` : param batch _ list : A BatchList object which consists of a list of : class : ` boto . dynamod...
request_items = self . dynamize_request_items ( batch_list ) return self . layer1 . batch_get_item ( request_items , object_hook = item_object_hook )
def generate_calculus_integrate_sample ( vlist , ops , min_depth , max_depth , functions ) : """Randomly generate a symbolic integral dataset sample . Given an input expression , produce the indefinite integral . Args : vlist : Variable list . List of chars that can be used in the expression . ops : List of...
var_index = random . randrange ( len ( vlist ) ) var = vlist [ var_index ] consts = vlist [ : var_index ] + vlist [ var_index + 1 : ] depth = random . randrange ( min_depth , max_depth + 1 ) expr = random_expr_with_required_var ( depth , var , consts , ops ) expr_str = str ( expr ) sample = var + ":" + expr_str target ...
def list_namespaced_job ( self , namespace , ** kwargs ) : # noqa : E501 """list _ namespaced _ job # noqa : E501 list or watch objects of kind Job # noqa : E501 This method makes a synchronous HTTP request by default . To make an asynchronous HTTP request , please pass async _ req = True > > > thread = api...
kwargs [ '_return_http_data_only' ] = True if kwargs . get ( 'async_req' ) : return self . list_namespaced_job_with_http_info ( namespace , ** kwargs ) # noqa : E501 else : ( data ) = self . list_namespaced_job_with_http_info ( namespace , ** kwargs ) # noqa : E501 return data
def expand_short_options ( self , argv ) : """Convert grouped short options like ` - abc ` to ` - a , - b , - c ` . This is necessary because we set ` ` allow _ abbrev = False ` ` on the ` ` ArgumentParser ` ` in : prop : ` self . arg _ parser ` . The argparse docs say ` ` allow _ abbrev ` ` applies only to l...
new_argv = [ ] for arg in argv : result = self . parse_multi_short_option ( arg ) new_argv . extend ( result ) return new_argv
def start ( self ) : """Start listening to changes"""
self . running = True self . thread = threading . Thread ( target = self . _main_loop ) self . thread . start ( )
def _process_inputs ( self , input_reader , shard_state , tstate , ctx ) : """Read inputs , process them , and write out outputs . This is the core logic of MapReduce . It reads inputs from input reader , invokes user specified mapper function , and writes output with output writer . It also updates shard _ s...
processing_limit = self . _processing_limit ( tstate . mapreduce_spec ) if processing_limit == 0 : return finished_shard = True # Input reader may not be an iterator . It is only a container . iterator = iter ( input_reader ) while True : try : entity = iterator . next ( ) except StopIteration : ...
def calcValueAtBirth ( cLvlHist , BirthBool , PlvlHist , MrkvHist , DiscFac , CRRA ) : '''Calculate expected value of being born in each Markov state using the realizations of consumption for a history of many consumers . The histories should already be trimmed of the " burn in " periods . Parameters cLvlHi...
J = np . max ( MrkvHist ) + 1 # Number of Markov states T = MrkvHist . size # Length of simulation I = cLvlHist . shape [ 1 ] # Number of agent indices in histories u = lambda c : CRRAutility ( c , gam = CRRA ) # Initialize an array to hold each agent ' s lifetime utility BirthsByPeriod = np . sum ( BirthBool , axis = ...
def memory_enumerator ( buffer_ , * args , ** kwargs ) : """Return an enumerator that knows how to read raw memory ."""
_LOGGER . debug ( "Enumerating through (%d) bytes of archive data." , len ( buffer_ ) ) def opener ( archive_res ) : _LOGGER . debug ( "Opening from (%d) bytes (memory_enumerator)." , len ( buffer_ ) ) _archive_read_open_memory ( archive_res , buffer_ ) if 'entry_cls' not in kwargs : kwargs [ 'entry_cls' ] ...
def sample ( self , observations_by_state ) : """Sample a new set of distribution parameters given a sample of observations from the given state . The internal parameters are updated . Parameters observations : [ numpy . array with shape ( N _ k , ) ] with nstates elements observations [ k ] are all observa...
from numpy . random import dirichlet N , M = self . _output_probabilities . shape # nstates , nsymbols for i , obs_by_state in enumerate ( observations_by_state ) : # count symbols found in data count = np . bincount ( obs_by_state , minlength = M ) . astype ( float ) # sample dirichlet distribution count +...
def json_based_stable_hash ( obj ) : """Computes a cross - kernel stable hash value for the given object . The supported data structure are the built - in list , tuple and dict types . Any included tuple or list , whether outer or nested , may only contain values of the following built - in types : bool , int...
encoded_str = json . dumps ( obj = obj , skipkeys = False , ensure_ascii = False , check_circular = True , allow_nan = True , cls = None , indent = 0 , separators = ( ',' , ':' ) , default = None , sort_keys = True , ) . encode ( 'utf-8' ) return hashlib . sha256 ( encoded_str ) . hexdigest ( )
def install ( args ) : "Install site from sources or module"
# Deactivate virtualenv if 'VIRTUAL_ENV' in environ : LOGGER . warning ( 'Virtualenv enabled: %s' % environ [ 'VIRTUAL_ENV' ] ) # Install from base modules if args . module : args . src = op . join ( settings . MOD_DIR , args . module ) assert op . exists ( args . src ) , "Not found module: %s" % args . mod...
def get_category ( category_string , model = Category ) : """Convert a string , including a path , and return the Category object"""
model_class = get_cat_model ( model ) category = str ( category_string ) . strip ( "'\"" ) category = category . strip ( '/' ) cat_list = category . split ( '/' ) if len ( cat_list ) == 0 : return None try : categories = model_class . objects . filter ( name = cat_list [ - 1 ] , level = len ( cat_list ) - 1 ) ...
def create_matrix_block_indices ( row_to_obs ) : """Parameters row _ to _ obs : 2D ndarray . There should be one row per observation per available alternative and one column per observation . This matrix maps the rows of the design matrix to the unique observations ( on the columns ) . Returns output _ ...
# Initialize the list of index arrays to be returned output_indices = [ ] # Determine the number of observations in the dataset num_obs = row_to_obs . shape [ 1 ] # Get the indices of the non - zero elements and their values row_indices , col_indices , values = scipy . sparse . find ( row_to_obs ) # Iterate over each o...
def _sound_settings ( area , setting , value , validate_value ) : """Will validate sound settings and values , returns data packet ."""
if validate_value : if ( setting in CONST . VALID_SOUND_SETTINGS and value not in CONST . ALL_SETTING_SOUND ) : raise AbodeException ( ERROR . INVALID_SETTING_VALUE , CONST . ALL_SETTING_SOUND ) elif ( setting == CONST . SETTING_ALARM_LENGTH and value not in CONST . ALL_SETTING_ALARM_LENGTH ) : ...
def create ( gandi , datacenter , memory , cores , ip_version , bandwidth , login , password , hostname , image , run , background , sshkey , size , vlan , ip , script , script_args , ssh , gen_password ) : """Create a new virtual machine . you can specify a configuration entry named ' sshkey ' containing path ...
try : gandi . datacenter . is_opened ( datacenter , 'iaas' ) except DatacenterLimited as exc : if exc . date : gandi . echo ( '/!\ Datacenter %s will be closed on %s, ' 'please consider using another datacenter.' % ( datacenter , exc . date ) ) if gandi . image . is_deprecated ( image , datacenter ) : ...
def create ( cls , model , parent = None , uifile = '' , commit = True ) : """Prompts the user to create a new record for the inputed table . : param model | < subclass of orb . Table > parent | < QWidget > : return < orb . Table > | | None / | instance of the inputed table class"""
# create the dialog dlg = QDialog ( parent ) dlg . setWindowTitle ( 'Create %s' % model . schema ( ) . name ( ) ) # create the widget cls = model . schema ( ) . property ( 'widgetClass' , cls ) widget = cls ( dlg ) if ( uifile ) : widget . setUiFile ( uifile ) widget . setModel ( model ) widget . layout ( ) . setCo...
def make_imshow_plot ( grid , name ) : """Takes a grid of RGB or RGBA values and a filename to save the figure into . Generates a figure by coloring all grid cells appropriately ."""
plt . tick_params ( labelbottom = "off" , labeltop = "off" , labelleft = "off" , labelright = "off" , bottom = "off" , top = "off" , left = "off" , right = "off" ) plt . imshow ( grid , interpolation = "nearest" , aspect = 1 , zorder = 1 ) plt . tight_layout ( ) plt . savefig ( name , dpi = 1000 , bbox_inches = "tight"...
def logspace_bins ( self , bins = None , units = None , conversion_function = convert_time , resolution = None ) : """Generates bin edges for a logspace tiling : there is one edge more than bins and each bin is between two edges"""
bins = self . logspace ( bins = bins , units = units , conversion_function = conversion_function , resolution = resolution , end_at_end = False ) resolution = np . mean ( ( bins [ : - 1 ] ) / ( bins [ 1 : ] ) ) bins = np . concatenate ( [ bins * np . sqrt ( resolution ) , bins [ - 1 : ] / np . sqrt ( resolution ) ] ) r...
def get_product ( id = None , name = None ) : """Get a specific Product by name or ID"""
content = get_product_raw ( id , name ) if content : return utils . format_json ( content )
def postprocess_keyevent ( self , event ) : """Post - process keypress event : in InternalShell , this is method is called when shell is ready"""
event , text , key , ctrl , shift = restore_keyevent ( event ) # Is cursor on the last line ? and after prompt ? if len ( text ) : # XXX : Shouldn ' t it be : ` if len ( unicode ( text ) . strip ( os . linesep ) ) ` ? if self . has_selected_text ( ) : self . check_selection ( ) self . restrict_cursor_po...
def _show_details ( self ) : """Show traceback on its own dialog"""
if self . details . isVisible ( ) : self . details . hide ( ) self . details_btn . setText ( _ ( 'Show details' ) ) else : self . resize ( 570 , 700 ) self . details . document ( ) . setPlainText ( '' ) self . details . append_text_to_shell ( self . error_traceback , error = True , prompt = False ) ...
async def ack ( self , msg ) : """Used to manually acks a message . : param msg : Message which is pending to be acked by client ."""
ack_proto = protocol . Ack ( ) ack_proto . subject = msg . proto . subject ack_proto . sequence = msg . proto . sequence await self . _nc . publish ( msg . sub . ack_inbox , ack_proto . SerializeToString ( ) )
def get_objective ( self ) : """Gets the related objective . return : ( osid . learning . Objective ) - the related objective raise : OperationFailed - unable to complete request compliance : mandatory - This method must be implemented ."""
# Note that this makes the generic objectives call to Handcar # without specifying the objectiveBank : url_str = ( self . _base_url + '/objectives/' + self . _my_map [ 'objectiveId' ] ) return Objective ( self . _load_json ( url_str ) )
def up_to ( self , term : str ) -> str : """Parse and return segment terminated by the first occurence of a string . Args : term : Terminating string . Raises : EndOfInput : If ` term ` does not occur in the rest of the input text ."""
end = self . input . find ( term , self . offset ) if end < 0 : raise EndOfInput ( self ) res = self . input [ self . offset : end ] self . offset = end + 1 return res
def pad ( args ) : """% prog pad blastfile cdtfile - - qbed q . pad . bed - - sbed s . pad . bed Test and reconstruct candidate PADs ."""
from jcvi . formats . cdt import CDT p = OptionParser ( pad . __doc__ ) p . set_beds ( ) p . add_option ( "--cutoff" , default = .3 , type = "float" , help = "The clustering cutoff to call similar [default: %default]" ) opts , args = p . parse_args ( args ) if len ( args ) != 2 : sys . exit ( not p . print_help ( )...
def process_multientry ( entry_list , prod_comp , coeff_threshold = 1e-4 ) : """Static method for finding a multientry based on a list of entries and a product composition . Essentially checks to see if a valid aqueous reaction exists between the entries and the product composition and returns a MultiEntry ...
dummy_oh = [ Composition ( "H" ) , Composition ( "O" ) ] try : # Get balanced reaction coeffs , ensuring all < 0 or conc thresh # Note that we get reduced compositions for solids and non - reduced # compositions for ions because ions aren ' t normalized due to # their charge state . entry_comps = [ e . composition ...
def encode ( self , pad = 106 ) : """Encodes this AIT command to binary . If pad is specified , it indicates the maximum size of the encoded command in bytes . If the encoded command is less than pad , the remaining bytes are set to zero . Commands sent to ISS payloads over 1553 are limited to 64 words (1...
opcode = struct . pack ( '>H' , self . defn . opcode ) offset = len ( opcode ) size = max ( offset + self . defn . argsize , pad ) encoded = bytearray ( size ) encoded [ 0 : offset ] = opcode encoded [ offset ] = self . defn . argsize offset += 1 index = 0 for defn in self . defn . argdefns : if defn . fixed : ...
def _get_kind ( cls ) : """Override . Make sure that the kind returned is the root class of the polymorphic hierarchy ."""
bases = cls . _get_hierarchy ( ) if not bases : # We have to jump through some hoops to call the superclass ' # _ get _ kind ( ) method . First , this is called by the metaclass # before the PolyModel name is defined , so it can ' t use # super ( PolyModel , cls ) . _ get _ kind ( ) . Second , we can ' t just call # Mo...
import itertools def deduplicate ( input_list ) : """Function to remove duplicates from a list of lists or list of elements . Examples : deduplicate ( [ [ 10 , 20 ] , [ 40 ] , [ 30 , 56 , 25 ] , [ 10 , 20 ] , [ 33 ] , [ 40 ] ] ) [ [ 10 , 20 ] , [ 30 , 56 , 25 ] , [ 33 ] , [ 40 ] ] deduplicate ( [ ' a ' , ' ...
input_list . sort ( ) deduplicated = list ( item for item , _ in itertools . groupby ( input_list ) ) return deduplicated
def listProcessingEras ( self , processing_version = '' ) : """Returns all processing eras in dbs"""
conn = self . dbi . connection ( ) try : result = self . pelst . execute ( conn , processing_version ) return result finally : if conn : conn . close ( )
def load_image ( self , file_path , redraw = True ) : """Accepts a path to an 8 x 8 image file and updates the LED matrix with the image"""
if not os . path . exists ( file_path ) : raise IOError ( '%s not found' % file_path ) img = Image . open ( file_path ) . convert ( 'RGB' ) pixel_list = list ( map ( list , img . getdata ( ) ) ) if redraw : self . set_pixels ( pixel_list ) return pixel_list
def noun ( self , plural : bool = False ) -> str : """Return a random noun in German . : param plural : Return noun in plural . : return : Noun ."""
key = 'plural' if plural else 'noun' return self . random . choice ( self . _data [ key ] )
def to_pn ( self , sub_letter = None ) : """Returns the part number equivalent . For instance , a ' 1k ' would still be ' 1k ' , but a '1.2k ' would , instead , be a ' 1k2' : return :"""
string = str ( self ) if '.' not in string : return string # take care of the case of when there is no scaling unit if not string [ - 1 ] . isalpha ( ) : if sub_letter is not None : return string . replace ( '.' , sub_letter ) return string letter = string [ - 1 ] return string . replace ( '.' , let...
def get_access_token ( self , verifier = None ) : """Return the access token for this API . If we ' ve not fetched it yet , go out , request and memoize it ."""
if self . _access_token is None : self . _access_token , self . _access_token_dict = self . _get_access_token ( verifier ) return self . _access_token
def transformer_prepare_encoder ( inputs , target_space , hparams , features = None ) : """Prepare one shard of the model for the encoder . Args : inputs : a Tensor . target _ space : a Tensor . hparams : run hyperparameters features : optionally pass the entire features dictionary as well . This is nee...
ishape_static = inputs . shape . as_list ( ) encoder_input = inputs if features and "inputs_segmentation" in features : # Packed dataset . Keep the examples from seeing each other . inputs_segmentation = features [ "inputs_segmentation" ] inputs_position = features [ "inputs_position" ] targets_segmentation...
def white_noise ( space , mean = 0 , stddev = 1 , seed = None ) : """Standard gaussian noise in space , pointwise ` ` N ( mean , stddev * * 2 ) ` ` . Parameters space : ` TensorSpace ` or ` ProductSpace ` The space in which the noise is created . mean : ` ` space . field ` ` element or ` ` space ` ` ` eleme...
from odl . space import ProductSpace with NumpyRandomSeed ( seed ) : if isinstance ( space , ProductSpace ) : values = [ white_noise ( subspace , mean , stddev ) for subspace in space ] else : if space . is_complex : real = np . random . normal ( loc = mean . real , scale = stddev , ...
def pip_list ( self , name = None , prefix = None , abspath = True ) : """Get list of pip installed packages ."""
if ( name and prefix ) or not ( name or prefix ) : raise TypeError ( "conda pip: exactly one of 'name' " "or 'prefix' " "required." ) if name : prefix = self . get_prefix_envname ( name ) pip_command = os . sep . join ( [ prefix , 'bin' , 'python' ] ) cmd_list = [ pip_command , PIP_LIST_SCRIPT ] process_worker ...
def cbow_batch ( centers , contexts , num_tokens , dtype , index_dtype ) : """Create a batch for CBOW training objective ."""
contexts_data , contexts_row , contexts_col = contexts centers = mx . nd . array ( centers , dtype = index_dtype ) contexts = mx . nd . sparse . csr_matrix ( ( contexts_data , ( contexts_row , contexts_col ) ) , dtype = dtype , shape = ( len ( centers ) , num_tokens ) ) # yapf : disable return centers , contexts
def _clean_str ( self , s ) : """Returns a lowercase string with punctuation and bad chars removed : param s : string to clean"""
return s . translate ( str . maketrans ( '' , '' , punctuation ) ) . replace ( '\u200b' , " " ) . strip ( ) . lower ( )
def _check_reliability ( self , old_value = None , new_value = None ) : """This function is called when the object is created and after one of its configuration properties has changed . The new and old value parameters are ignored , this is called after the property has been changed and this is only concerned...
if _debug : LocalScheduleObject . _debug ( "_check_reliability %r %r" , old_value , new_value ) try : schedule_default = self . scheduleDefault if schedule_default is None : raise ValueError ( "scheduleDefault expected" ) if not isinstance ( schedule_default , Atomic ) : raise TypeError ...
def replace_by_etree ( self , root_el , el_idx = 0 ) : """Replace element . Select element that has the same name as ` ` root _ el ` ` , then replace the selected element with ` ` root _ el ` ` ` ` root _ el ` ` can be a single element or the root of an element tree . Args : root _ el : element New elem...
el = self . get_element_by_name ( root_el . tag , el_idx ) el [ : ] = list ( root_el ) el . attrib = root_el . attrib