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def get_repository ( self , repository = None , params = None ) : """Return information about registered repositories . ` < http : / / www . elastic . co / guide / en / elasticsearch / reference / current / modules - snapshots . html > ` _ : arg repository : A comma - separated list of repository names : arg ...
return self . transport . perform_request ( 'GET' , _make_path ( '_snapshot' , repository ) , params = params )
def info ( self , media_id ) : """Получить информацию по файлу : param media _ id : : rtype : requests . Response"""
dr = self . __app . native_api_call ( 'media' , 'i/' + media_id , { } , self . __options , False , None , False , http_path = "/api/meta/v1/" , http_method = 'GET' ) return json . loads ( dr . text )
def authenticate ( self , transport , account_name , password ) : """Authenticates account , if no password given tries to pre - authenticate . @ param transport : transport to use for method calls @ param account _ name : account name @ param password : account password @ return : AuthToken if authenticati...
if not isinstance ( transport , ZimbraClientTransport ) : raise ZimbraClientException ( 'Invalid transport' ) if util . empty ( account_name ) : raise AuthException ( 'Empty account name' )
def is_degraded ( graph : BELGraph , node : BaseEntity ) -> bool : """Return true if over any of the node ' s edges , it is degraded ."""
return _node_has_modifier ( graph , node , DEGRADATION )
def start ( self ) : """Clone objects from one container to another . This method was built to clone a container between data - centers while using the same credentials . The method assumes that an authentication token will be valid within the two data centers ."""
LOG . info ( 'Clone warm up...' ) # Create the target args self . _target_auth ( ) last_list_obj = None while True : self . indicator_options [ 'msg' ] = 'Gathering object list' with indicator . Spinner ( ** self . indicator_options ) : objects_list = self . _list_contents ( single_page_return = True , ...
def register_fetcher ( self , name , fetcher ) : """Register a fetcher . : param name : Fetcher name . : param fetcher : The new fetcher ."""
assert name not in self . fetchers self . fetchers [ name ] = fetcher
def parse_filters ( ) : """Parse variant filters from the request object ."""
genes_str = request . args . get ( 'gene_symbol' ) filters = { } for key in ( 'frequency' , 'cadd' , 'sv_len' ) : try : filters [ key ] = float ( request . args . get ( key ) ) except ( ValueError , TypeError ) : pass filters [ 'gene_symbols' ] = genes_str . split ( ',' ) if genes_str else None ...
def __encryptKeyTransportMessage ( self , bare_jids , encryption_callback , bundles = None , expect_problems = None , ignore_trust = False ) : """bare _ jids : iterable < string > encryption _ callback : A function which is called using an instance of cryptography . hazmat . primitives . ciphers . CipherContext ,...
yield self . runInactiveDeviceCleanup ( ) # parameter preparation # if isinstance ( bare_jids , string_type ) : bare_jids = set ( [ bare_jids ] ) else : bare_jids = set ( bare_jids ) if bundles == None : bundles = { } if expect_problems == None : expect_problems = { } else : for bare_jid in expect_p...
def _iterate_object ( obj ) : """Return iterator over object attributes . Respect objects with defined _ _ slots _ _ ."""
d = { } try : d = vars ( obj ) except TypeError : # maybe we have named tuple here ? if hasattr ( obj , '_asdict' ) : d = obj . _asdict ( ) for item in iteritems ( d ) : yield item try : slots = obj . __slots__ except AttributeError : pass else : for key in slots : if key != '__d...
def show ( dataset , ** kwargs ) : """Display the dataset as an image ."""
img = get_enhanced_image ( dataset . squeeze ( ) , ** kwargs ) img . show ( ) return img
def load ( filename : str , format : str = None ) : """Load a task file and get a ` ` Project ` ` back ."""
path = Path ( filename ) . resolve ( ) with path . open ( ) as file : data = file . read ( ) if format is None : loader , error_class = _load_autodetect , InvalidMofileFormat else : try : loader , error_class = formats [ format ] except KeyError : raise InvalidMofileFormat ( f'Unknown fi...
def pt_reflect ( pt = ( 0.0 , 0.0 ) , plane = [ None , None ] ) : '''Return given point reflected around planes in N dimensions . There must be the same number of planes as dimensions , but the value of each plane may be None to indicate no reflection .'''
assert isinstance ( pt , tuple ) l_pt = len ( pt ) assert l_pt > 1 for i in pt : assert isinstance ( i , float ) assert isinstance ( plane , list ) l_pl = len ( plane ) assert l_pl == l_pt for i in plane : assert isinstance ( i , float ) or i is None return tuple ( [ pt [ i ] if plane [ i ] is None else ( 2 * p...
def truncate ( data , l = 20 ) : "truncate a string"
info = ( data [ : l ] + '..' ) if len ( data ) > l else data return info
def save_form ( self , form , request , ** resources ) : """Save self form ."""
resource = yield from super ( PWAdminHandler , self ) . save_form ( form , request , ** resources ) resource . save ( ) return resource
def createFromMaskedArray ( cls , masked_arr ) : """Creates an ArrayWithMak : param masked _ arr : a numpy MaskedArray or numpy array : return : ArrayWithMask"""
if isinstance ( masked_arr , ArrayWithMask ) : return masked_arr check_class ( masked_arr , ( np . ndarray , ma . MaskedArray ) ) # A MaskedConstant ( i . e . masked ) is a special case of MaskedArray . It does not seem to have # a fill _ value so we use None to use the default . # https : / / docs . scipy . org / ...
def get_scheme_dirs ( ) : """Return a set of all scheme directories ."""
scheme_glob = rel_to_cwd ( 'schemes' , '**' , '*.yaml' ) scheme_groups = glob ( scheme_glob ) scheme_groups = [ get_parent_dir ( path ) for path in scheme_groups ] return set ( scheme_groups )
def init_device ( self ) : """Device constructor ."""
start_time = time . time ( ) Device . init_device ( self ) self . _pb_id = '' LOG . debug ( 'init PB device %s, time taken %.6f s (total: %.2f s)' , self . get_name ( ) , ( time . time ( ) - start_time ) , ( time . time ( ) - self . _start_time ) ) self . set_state ( DevState . STANDBY )
def generate ( env ) : """Add Builders and construction variables for ar to an Environment ."""
as_module . generate ( env ) env [ 'AS' ] = '386asm' env [ 'ASFLAGS' ] = SCons . Util . CLVar ( '' ) env [ 'ASPPFLAGS' ] = '$ASFLAGS' env [ 'ASCOM' ] = '$AS $ASFLAGS $SOURCES -o $TARGET' env [ 'ASPPCOM' ] = '$CC $ASPPFLAGS $CPPFLAGS $_CPPDEFFLAGS $_CPPINCFLAGS $SOURCES -o $TARGET' addPharLapPaths ( env )
def get_formset ( self ) : """Provide the formset corresponding to this DataTable . Use this to validate the formset and to get the submitted data back ."""
if self . folder : queryset = self . folder . files . all ( ) else : queryset = File . objects . none ( ) if self . _formset is None : self . _formset = self . formset_class ( self . request . POST or None , initial = self . _get_formset_data ( ) , prefix = self . _meta . name , queryset = queryset ) return...
def relative_to ( base , relativee ) : """Gets ' relativee ' relative to ' basepath ' . i . e . , > > > relative _ to ( ' / home / ' , ' / home / radix / ' ) ' radix ' > > > relative _ to ( ' . ' , ' / home / radix / Projects / Twisted ' ) # curdir is / home / radix ' Projects / Twisted ' The ' relative...
basepath = os . path . abspath ( base ) relativee = os . path . abspath ( relativee ) if relativee . startswith ( basepath ) : relative = relativee [ len ( basepath ) : ] if relative . startswith ( os . sep ) : relative = relative [ 1 : ] return os . path . join ( base , relative ) raise ValueError ...
def lookup_hlr ( self , phonenumber , params = None ) : """Retrieve the information of a specific HLR lookup ."""
if params is None : params = { } return HLR ( ) . load ( self . request ( 'lookup/' + str ( phonenumber ) + '/hlr' , 'GET' , params ) )
def _install_wrappers ( self ) : """Install our PluginLoader monkey patches and update global variables with references to the real functions ."""
global action_loader__get action_loader__get = ansible_mitogen . loaders . action_loader . get ansible_mitogen . loaders . action_loader . get = wrap_action_loader__get global connection_loader__get connection_loader__get = ansible_mitogen . loaders . connection_loader . get ansible_mitogen . loaders . connection_loade...
def init_genome_coordinates ( self ) : """Creates the self . seqpos2genome dictionary that converts positions relative to the sequence to genome coordinates ."""
self . seqpos2genome = { } # record genome positions for each sequence position seq_pos = 0 for estart , eend in self . exons : for genome_pos in range ( estart , eend ) : if self . strand == '+' : self . seqpos2genome [ seq_pos ] = genome_pos elif self . strand == '-' : tmp ...
def challenge_hash ( peer_challenge , authenticator_challenge , username ) : """ChallengeHash"""
sha_hash = hashlib . sha1 ( ) sha_hash . update ( peer_challenge ) sha_hash . update ( authenticator_challenge ) sha_hash . update ( username ) return sha_hash . digest ( ) [ : 8 ]
def _invoke ( self , argv , stream = sys . stdout , resubmit_failed = False ) : """Invoke this object to preform a particular action Parameters argv : list List of command line arguments , passed to helper classes stream : ` file ` Stream that this function will print to , must have ' write ' function ....
args = self . _run_argparser ( argv ) if args . action not in ACTIONS : sys . stderr . write ( "Unrecognized action %s, options are %s\n" % ( args . action , ACTIONS ) ) if args . action == 'skip' : return JobStatus . no_job elif args . action in [ 'run' , 'resubmit' , 'check_status' , 'config' ] : self . _...
def _load_yaml_file ( self , file ) : """Load data from yaml file : param file : Readable object or path to file : type file : FileIO | str | unicode : return : Yaml data : rtype : None | int | float | str | unicode | list | dict : raises IOError : Failed to load"""
try : res = load_yaml_file ( file ) except : self . exception ( "Failed to load from {}" . format ( file ) ) raise IOError ( "Loading file failed" ) return res
def group ( self , * args , ** kwargs ) : """A shortcut decorator for declaring and attaching a group to the group . This takes the same arguments as : func : ` group ` but immediately registers the created command with this instance by calling into : meth : ` add _ command ` ."""
def decorator ( f ) : cmd = group ( * args , ** kwargs ) ( f ) self . add_command ( cmd ) return cmd return decorator
def to_list ( self ) : """To a list of dicts ( each dict is an instances )"""
ret = [ ] for instance in self . instances : ret . append ( instance . to_dict ( ) ) return ret
def route ( self , dst , dev = None ) : """Provide best route to IPv6 destination address , based on Scapy6 internal routing table content . When a set of address is passed ( e . g . 2001 : db8 : cafe : * : : 1-5 ) an address of the set is used . Be aware of that behavior when using wildcards in upper parts...
# Transform " 2001 : db8 : cafe : * : : 1-5:0/120 " to one IPv6 address of the set dst = dst . split ( "/" ) [ 0 ] savedst = dst # In case following inet _ pton ( ) fails dst = dst . replace ( "*" , "0" ) l = dst . find ( "-" ) while l >= 0 : m = ( dst [ l : ] + ":" ) . find ( ":" ) dst = dst [ : l ] + dst [ l ...
def _check_timeseries_input ( data ) : """Checks response time series input data ( e . g . , for ISC analysis ) Input data should be a n _ TRs by n _ voxels by n _ subjects ndarray ( e . g . , brainiak . image . MaskedMultiSubjectData ) or a list where each item is a n _ TRs by n _ voxels ndarray for a given ...
# Convert list input to 3d and check shapes if type ( data ) == list : data_shape = data [ 0 ] . shape for i , d in enumerate ( data ) : if d . shape != data_shape : raise ValueError ( "All ndarrays in input list " "must be the same shape!" ) if d . ndim == 1 : data [ i ]...
def login ( ) : """Does the login via OpenID . Has to call into ` oid . try _ login ` to start the OpenID machinery ."""
# if we are already logged in , go back to were we came from if g . user is not None : return redirect ( oid . get_next_url ( ) ) if request . method == 'POST' : openid = request . form . get ( 'openid' ) if openid : return oid . try_login ( openid , ask_for = [ 'email' , 'fullname' , 'nickname' ] )...
def get_keys_containing ( search_string , input_dict , default = None , first_found = True ) : """Searches a dictionary for all keys containing the search string ( as long as the keys are not functions ) and returns a filtered dictionary of only those keys : param search _ string : str , string we are looking f...
output = { } for k , v in iteritems ( input_dict ) : if search_string in k and not callable ( k ) : output [ k ] = v if first_found : try : output = output [ next ( iter ( output ) ) ] except StopIteration : pass return output or default
def hset ( self , key , field , value ) : """Set the string value of a hash field ."""
return self . execute ( b'HSET' , key , field , value )
def cl_mutect ( self , params , tmp_dir ) : """Define parameters to run the mutect paired algorithm ."""
gatk_jar = self . _get_jar ( "muTect" , [ "mutect" ] ) # Decrease memory slightly from configuration to avoid memory allocation errors jvm_opts = config_utils . adjust_opts ( self . _jvm_opts , { "algorithm" : { "memory_adjust" : { "magnitude" : 1.1 , "direction" : "decrease" } } } ) return [ "java" ] + jvm_opts + get_...
def start_heartbeat ( self ) : """Reset hearbeat timer"""
self . stop_heartbeat ( ) self . _heartbeat_timer = task . LoopingCall ( self . _heartbeat ) self . _heartbeat_timer . start ( self . _heartbeat_interval , False )
def destroy ( self , request , * args , ** kwargs ) : """Destroy a model instance . If ` ` delete _ content ` ` flag is set in query parameters , also all Data objects contained in entity will be deleted ."""
obj = self . get_object ( ) user = request . user if strtobool ( request . query_params . get ( 'delete_content' , 'false' ) ) : for data in obj . data . all ( ) : if user . has_perm ( 'edit_data' , data ) : data . delete ( ) # If all data objects in an entity are removed , the entity may ...
def step ( self ) : """Runs one step of the trial event loop . Callers should typically run this method repeatedly in a loop . They may inspect or modify the runner ' s state in between calls to step ( ) ."""
if self . is_finished ( ) : raise TuneError ( "Called step when all trials finished?" ) with warn_if_slow ( "on_step_begin" ) : self . trial_executor . on_step_begin ( ) next_trial = self . _get_next_trial ( ) # blocking if next_trial is not None : with warn_if_slow ( "start_trial" ) : self . trial_...
def properties ( self ) : # type : ( ) - > list """Returns : ( list [ str ] ) List of public properties"""
_type = type ( self ) return [ _property for _property in dir ( _type ) if self . _is_property ( _property ) ]
def log_p ( self , z ) : """The unnormalized log posterior components ( the quantity we want to approximate ) RAO - BLACKWELLIZED !"""
return np . array ( [ self . log_p_blanket ( i ) for i in z ] )
def add_log ( self , x , flag_also_show = False ) : """Logs to 4 different outputs : conditionally to 3 , and certainly to get _ python _ logger ( )"""
self . _add_log_no_logger ( x , flag_also_show ) a99 . get_python_logger ( ) . info ( x )
def add_plugin ( self , plugin ) : """Append ` plugin ` to model Arguments : plugin ( dict ) : Serialised plug - in from pyblish - rpc Schema : plugin . json"""
item = { } item . update ( defaults [ "common" ] ) item . update ( defaults [ "plugin" ] ) for member in [ "pre11" , "name" , "label" , "optional" , "category" , "actions" , "id" , "order" , "doc" , "type" , "module" , "match" , "hasRepair" , "families" , "contextEnabled" , "instanceEnabled" , "__instanceEnabled__" , "...
def get_sequence_rule_enabler_form ( self , * args , ** kwargs ) : """Pass through to provider SequenceRuleEnablerAdminSession . get _ sequence _ rule _ enabler _ form _ for _ update"""
# Implemented from kitosid template for - # osid . resource . ResourceAdminSession . get _ resource _ form _ for _ update # This method might be a bit sketchy . Time will tell . if isinstance ( args [ - 1 ] , list ) or 'sequence_rule_enabler_record_types' in kwargs : return self . get_sequence_rule_enabler_form_for...
def gen ( ctx , num , lo , hi , size , struct ) : '''Generate deformed structures'''
frmt = ctx . parent . params [ 'frmt' ] action = ctx . parent . params [ 'action' ] cryst = ase . io . read ( struct , format = frmt ) fn_tmpl = action if frmt == 'vasp' : fn_tmpl += '_%03d.POSCAR' kwargs = { 'vasp5' : True , 'direct' : True } elif frmt == 'abinit' : fn_tmpl += '_%03d.abinit' kwargs = {...
def get_or_create ( self , ** kwargs ) : """Looks up an object with the given kwargs , creating one if necessary . Returns a tuple of ( object , created ) , where created is a boolean specifying whether an object was created ."""
assert kwargs , "get_or_create() must be passed at least one keyword argument" defaults = kwargs . pop ( "defaults" , { } ) lookup = kwargs . copy ( ) try : return self . get ( ** lookup ) , False except self . resource . DoesNotExist : params = dict ( [ ( k , v ) for k , v in kwargs . items ( ) ] ) params ...
def _GetRowValue ( self , query_hash , row , value_name ) : """Retrieves a value from the row . Args : query _ hash ( int ) : hash of the query , that uniquely identifies the query that produced the row . row ( sqlite3 . Row ) : row . value _ name ( str ) : name of the value . Returns : object : value...
keys_name_to_index_map = self . _keys_per_query . get ( query_hash , None ) if not keys_name_to_index_map : keys_name_to_index_map = { name : index for index , name in enumerate ( row . keys ( ) ) } self . _keys_per_query [ query_hash ] = keys_name_to_index_map value_index = keys_name_to_index_map . get ( value...
def GetValueByName ( self , name ) : """Retrieves a value by name . Value names are not unique and pyregf provides first match for the value . Args : name ( str ) : name of the value or an empty string for the default value . Returns : WinRegistryValue : Windows Registry value if a corresponding value was...
pyregf_value = self . _pyregf_key . get_value_by_name ( name ) if not pyregf_value : return None return REGFWinRegistryValue ( pyregf_value )
def get_call_signature ( fn : FunctionType , args : ArgsType , kwargs : KwargsType , debug_cache : bool = False ) -> str : """Takes a function and its args / kwargs , and produces a string description of the function call ( the call signature ) suitable for use indirectly as a cache key . The string is a JSON r...
# Note that the function won ' t have the _ _ self _ _ argument ( as in # fn . _ _ self _ _ ) , at this point , even if it ' s a member function . try : call_sig = json_encode ( ( fn . __qualname__ , args , kwargs ) ) except TypeError : log . critical ( "\nTo decorate using @django_cache_function without specif...
def acquire ( self , timeout : Union [ float , datetime . timedelta ] = None ) -> Awaitable [ _ReleasingContextManager ] : """Attempt to lock . Returns an awaitable . Returns an awaitable , which raises ` tornado . util . TimeoutError ` after a timeout ."""
return self . _block . acquire ( timeout )
def national_significant_number ( numobj ) : """Gets the national significant number of a phone number . Note that a national significant number doesn ' t contain a national prefix or any formatting . Arguments : numobj - - The PhoneNumber object for which the national significant number is needed . Ret...
# If leading zero ( s ) have been set , we prefix this now . Note this is not a # national prefix . national_number = U_EMPTY_STRING if numobj . italian_leading_zero : num_zeros = numobj . number_of_leading_zeros if num_zeros is None : num_zeros = 1 if num_zeros > 0 : national_number = U_ZER...
def _compute ( self , feed_dict , shard ) : """Call the tensorflow compute"""
try : descriptor , enq = self . _tfrun ( self . _tf_expr [ shard ] , feed_dict = feed_dict ) self . _inputs_waiting . decrement ( shard ) except Exception as e : montblanc . log . exception ( "Compute Exception" ) raise
def get_extended_stats ( self , field = None ) : """Create an extended _ stats aggregation object and add it to the aggregation dict : param field : the field present in the index that is to be aggregated : returns : self , which allows the method to be chainable with the other methods"""
if not field : raise AttributeError ( "Please provide field to apply aggregation to!" ) agg = A ( "extended_stats" , field = field ) self . aggregations [ 'extended_stats_' + field ] = agg return self
def lock_variable ( self , key , block = False ) : """Locks a global variable : param key : the key of the global variable to be locked : param block : a flag to specify if to wait for locking the variable in blocking mode"""
key = str ( key ) # watch out for releasing the _ _ dictionary _ lock properly try : if key in self . __variable_locks : # acquire without arguments is blocking lock_successful = self . __variable_locks [ key ] . acquire ( False ) if lock_successful or block : if ( not lock_successful ) ...
def errorprint ( ) : """Print out descriptions from ConfigurationError ."""
try : yield except ConfigurationError as e : click . secho ( '%s' % e , err = True , fg = 'red' ) sys . exit ( 1 )
def query ( cls , offset = None , limit = None , api = None ) : """Query ( List ) divisions . : param offset : Pagination offset . : param limit : Pagination limit . : param api : Api instance . : return : Collection object ."""
api = api if api else cls . _API return super ( Division , cls ) . _query ( url = cls . _URL [ 'query' ] , offset = offset , limit = limit , fields = '_all' , api = api )
def deconvolution ( inp , outmaps , kernel , pad = None , stride = None , dilation = None , group = 1 , w_init = None , b_init = None , base_axis = 1 , fix_parameters = False , rng = None , with_bias = True , apply_w = None , apply_b = None ) : """Deconvolution layer . Args : inp ( ~ nnabla . Variable ) : N - D...
if w_init is None : w_init = UniformInitializer ( calc_uniform_lim_glorot ( outmaps , inp . shape [ base_axis ] , tuple ( kernel ) ) , rng = rng ) if with_bias and b_init is None : b_init = ConstantInitializer ( ) w = get_parameter_or_create ( "W" , ( inp . shape [ base_axis ] , outmaps // group ) + tuple ( ker...
def check_keystore_json ( jsondata ) : """Check if ` ` jsondata ` ` has the structure of a keystore file version 3. Note that this test is not complete , e . g . it doesn ' t check key derivation or cipher parameters . : param jsondata : dictionary containing the data from the json file : returns : ` True ` i...
if 'crypto' not in jsondata and 'Crypto' not in jsondata : return False if 'version' not in jsondata : return False if jsondata [ 'version' ] != 3 : return False crypto = jsondata . get ( 'crypto' , jsondata . get ( 'Crypto' ) ) if 'cipher' not in crypto : return False if 'ciphertext' not in crypto : ...
def get_group_index ( labels , shape , sort , xnull ) : """For the particular label _ list , gets the offsets into the hypothetical list representing the totally ordered cartesian product of all possible label combinations , * as long as * this space fits within int64 bounds ; otherwise , though group indices...
def _int64_cut_off ( shape ) : acc = 1 for i , mul in enumerate ( shape ) : acc *= int ( mul ) if not acc < _INT64_MAX : return i return len ( shape ) def maybe_lift ( lab , size ) : # promote nan values ( assigned - 1 label in lab array ) # so that all output values are non - ne...
def pip_install ( package , fatal = False , upgrade = False , venv = None , constraints = None , ** options ) : """Install a python package"""
if venv : venv_python = os . path . join ( venv , 'bin/pip' ) command = [ venv_python , "install" ] else : command = [ "install" ] available_options = ( 'proxy' , 'src' , 'log' , 'index-url' , ) for option in parse_options ( options , available_options ) : command . append ( option ) if upgrade : co...
def exactly_n ( l , n = 1 ) : '''Tests that exactly N items in an iterable are " truthy " ( neither None , False , nor 0 ) .'''
i = iter ( l ) return all ( any ( i ) for j in range ( n ) ) and not any ( i )
def check_siblings ( self , individual_1_id , individual_2_id ) : """Check if two family members are siblings . Arguments : individual _ 1 _ id ( str ) : The id of an individual individual _ 2 _ id ( str ) : The id of an individual Returns : bool : True if the individuals are siblings False if they are ...
self . logger . debug ( "Checking if {0} and {1} are siblings" . format ( individual_1_id , individual_2_id ) ) ind_1 = self . individuals [ individual_1_id ] ind_2 = self . individuals [ individual_2_id ] if ( ( ind_1 . father != '0' and ind_1 . father == ind_2 . father ) or ( ind_1 . mother != '0' and ind_1 . mother ...
def parse_signature ( signature ) : """Parse a signature into its input and return parameter types . This will also collect the types that are required by any of the input and return types . : sig : ( str ) - > Tuple [ List [ str ] , str , Set [ str ] ] : param signature : Signature to parse . : return : ...
if " -> " not in signature : # signature comment : no parameters , treat variable type as return type param_types , return_type = None , signature . strip ( ) else : lhs , return_type = [ s . strip ( ) for s in signature . split ( " -> " ) ] csv = lhs [ 1 : - 1 ] . strip ( ) # remove the parentheses aro...
def update ( cls , first_name = None , middle_name = None , last_name = None , public_nick_name = None , address_main = None , address_postal = None , avatar_uuid = None , tax_resident = None , document_type = None , document_number = None , document_country_of_issuance = None , document_front_attachment_id = None , do...
if custom_headers is None : custom_headers = { } api_client = client . ApiClient ( cls . _get_api_context ( ) ) request_map = { cls . FIELD_FIRST_NAME : first_name , cls . FIELD_MIDDLE_NAME : middle_name , cls . FIELD_LAST_NAME : last_name , cls . FIELD_PUBLIC_NICK_NAME : public_nick_name , cls . FIELD_ADDRESS_MAIN...
def stdrepr_object ( self , title , elements , * , cls = None , short = False , quote_string_keys = False , delimiter = None ) : """Helper function to represent objects . Arguments : title : A title string displayed above the box containing the elements , or a pair of two strings that will be displayed left...
H = self . H if delimiter is None and quote_string_keys is True : delimiter = ' ↦ ' def wrap ( x ) : if not quote_string_keys and isinstance ( x , str ) : return x else : return self ( x ) if short : contents = [ ] for k , v in elements : kv = H . div [ 'hrepr-object-kvpair' ...
def interval_tree ( intervals ) : """Construct an interval tree : param intervals : list of half - open intervals encoded as value pairs * [ left , right ) * : assumes : intervals are lexicographically ordered ` ` > > > assert intervals = = sorted ( intervals ) ` ` : returns : the root of the interval tre...
if intervals == [ ] : return None center = intervals [ len ( intervals ) // 2 ] [ 0 ] L = [ ] R = [ ] C = [ ] for I in intervals : if I [ 1 ] <= center : L . append ( I ) elif center < I [ 0 ] : R . append ( I ) else : C . append ( I ) by_low = sorted ( ( I [ 0 ] , I ) for I in C...
def thread_counter ( finalize ) : """Modifies a thread target function , such that the number of active threads is counted . If the count reaches zero , a finalizer is called ."""
n_threads = 0 lock = threading . Lock ( ) def target_modifier ( target ) : @ functools . wraps ( target ) def modified_target ( * args , ** kwargs ) : nonlocal n_threads , lock with lock : n_threads += 1 return_value = target ( * args , ** kwargs ) with lock : ...
def maybe_convert_values ( self , identifier : Identifier , data : Dict [ str , Any ] , ) -> Dict [ str , Any ] : """Takes a dictionary of raw values for a specific identifier , as parsed from the YAML file , and depending upon the type of db column the data is meant for , decides what to do with the value ( eg...
raise NotImplementedError
def read ( self , size ) : """Read wrapper . Parameters size : int Number of bytes to read ."""
try : return self . handle . read ( size ) except ( OSError , serial . SerialException ) : print ( ) print ( "Piksi disconnected" ) print ( ) self . handle . close ( ) raise IOError
def text_to_qcolor ( text ) : """Create a QColor from specified string Avoid warning from Qt when an invalid QColor is instantiated"""
color = QColor ( ) if not is_string ( text ) : # testing for QString ( PyQt API # 1) text = str ( text ) if not is_text_string ( text ) : return color if text . startswith ( '#' ) and len ( text ) == 7 : correct = '#0123456789abcdef' for char in text : if char . lower ( ) not in correct : ...
def disable_command ( self , command : str , message_to_print : str ) -> None : """Disable a command and overwrite its functions : param command : the command being disabled : param message _ to _ print : what to print when this command is run or help is called on it while disabled The variable COMMAND _ NAME...
import functools # If the commands is already disabled , then return if command in self . disabled_commands : return # Make sure this is an actual command command_function = self . cmd_func ( command ) if command_function is None : raise AttributeError ( "{} does not refer to a command" . format ( command ) ) h...
def _columns_sql ( self , with_namespace = False , ** kwargs ) : """SQL for Columns clause for INSERT queries : param with _ namespace : Remove from kwargs , never format the column terms with namespaces since only one table can be inserted into"""
return ' ({columns})' . format ( columns = ',' . join ( term . get_sql ( with_namespace = False , ** kwargs ) for term in self . _columns ) )
def environ ( request : httputil . HTTPServerRequest ) -> Dict [ Text , Any ] : """Converts a ` tornado . httputil . HTTPServerRequest ` to a WSGI environment ."""
hostport = request . host . split ( ":" ) if len ( hostport ) == 2 : host = hostport [ 0 ] port = int ( hostport [ 1 ] ) else : host = request . host port = 443 if request . protocol == "https" else 80 environ = { "REQUEST_METHOD" : request . method , "SCRIPT_NAME" : "" , "PATH_INFO" : to_wsgi_str ( esc...
def prepare_data ( dt , features , response , sequence , id_column = None , seq_align = "end" , trim_seq_len = None ) : """Prepare data for Concise . train or ConciseCV . train . Args : dt : A pandas DataFrame containing all the required data . features ( List of strings ) : Column names of ` dt ` used to pro...
if type ( response ) is str : response = [ response ] X_feat = np . array ( dt [ features ] , dtype = "float32" ) y = np . array ( dt [ response ] , dtype = "float32" ) X_seq = encodeDNA ( seq_vec = dt [ sequence ] , maxlen = trim_seq_len , seq_align = seq_align ) X_seq = np . array ( X_seq , dtype = "float32" ) id...
def input_file ( self , _container ) : """Find the input path of a uchroot container ."""
p = local . path ( _container ) if set_input_container ( p , CFG ) : return p = find_hash ( CFG [ "container" ] [ "known" ] . value , container ) if set_input_container ( p , CFG ) : return raise ValueError ( "The path '{0}' does not exist." . format ( p ) )
def set_data ( self , data , copy = False , ** kwargs ) : """Set data ( deferred operation ) Parameters data : ndarray Data to be uploaded copy : bool Since the operation is deferred , data may change before data is actually uploaded to GPU memory . Asking explicitly for a copy will prevent this behav...
data = self . _prepare_data ( data , ** kwargs ) self . _dtype = data . dtype self . _stride = data . strides [ - 1 ] self . _itemsize = self . _dtype . itemsize Buffer . set_data ( self , data = data , copy = copy )
async def field ( self , elem = None , elem_type = None , params = None ) : """Archive field : param elem : : param elem _ type : : param params : : return :"""
elem_type = elem_type if elem_type else elem . __class__ fvalue = None etype = self . _get_type ( elem_type ) if self . _is_type ( etype , UVarintType ) : fvalue = await self . uvarint ( get_elem ( elem ) ) elif self . _is_type ( etype , IntType ) : fvalue = await self . uint ( elem = get_elem ( elem ) , elem_t...
def _WX28_clipped_agg_as_bitmap ( agg , bbox ) : """Convert the region of a the agg buffer bounded by bbox to a wx . Bitmap . Note : agg must be a backend _ agg . RendererAgg instance ."""
l , b , width , height = bbox . bounds r = l + width t = b + height srcBmp = wx . BitmapFromBufferRGBA ( int ( agg . width ) , int ( agg . height ) , agg . buffer_rgba ( ) ) srcDC = wx . MemoryDC ( ) srcDC . SelectObject ( srcBmp ) destBmp = wx . EmptyBitmap ( int ( width ) , int ( height ) ) destDC = wx . MemoryDC ( )...
def generate_with_pattern ( self , pattern = None ) : """Algorithm that creates the list based on a given pattern The pattern must be like string format patter : e . g : a @ b will match an ' a ' follow by any character follow by a ' b '"""
curlen = utils . get_pattern_length ( pattern ) if curlen > 0 : str_generator = product ( self . charset , repeat = curlen ) pattern = pattern + self . delimiter fstring = utils . pattern_to_fstring ( pattern ) for each in str_generator : yield fstring . format ( * each )
def is_point ( self ) : """figures out if item is a point , that is if it has two subelements of type float Args : self : Returns : if item is a point ( True ) or not ( False )"""
if self . childCount ( ) == 2 : if self . child ( 0 ) . valid_values == float and self . child ( 1 ) . valid_values == float : return True else : return False
def add_recipe_actions ( self , recipe_actions ) : """Add additional valid recipe actions to RecipeManager args : recipe _ actions ( list ) : List of tuples . First value of tuple is the classname , second value of tuple is RecipeAction Object"""
for action_name , action in recipe_actions : self . _recipe_actions [ action_name ] = action
def certify ( self , subject , level = SignatureType . Generic_Cert , ** prefs ) : """Sign a key or a user id within a key . : param subject : The user id or key to be certified . : type subject : : py : obj : ` PGPKey ` , : py : obj : ` PGPUID ` : param level : : py : obj : ` ~ constants . SignatureType . Ge...
hash_algo = prefs . pop ( 'hash' , None ) sig_type = level if isinstance ( subject , PGPKey ) : sig_type = SignatureType . DirectlyOnKey sig = PGPSignature . new ( sig_type , self . key_algorithm , hash_algo , self . fingerprint . keyid ) # signature options that only make sense in certifications usage = prefs . po...
def order_by ( self , * orderings : str ) -> "QuerySet" : """Accept args to filter by in format like this : . . code - block : : python3 . order _ by ( ' name ' , ' - tournament _ _ name ' ) Supports ordering by related models too ."""
queryset = self . _clone ( ) new_ordering = [ ] for ordering in orderings : order_type = Order . asc if ordering [ 0 ] == "-" : field_name = ordering [ 1 : ] order_type = Order . desc else : field_name = ordering if not ( field_name . split ( "__" ) [ 0 ] in self . model . _meta ...
def printLn ( self , respType , respString ) : """Add one or lines of output to the response list . Input : Response type : One or more characters indicate type of response . E - Error message N - Normal message S - Output should be logged W - Warning message"""
if 'E' in respType : respString = '(Error) ' + respString if 'W' in respType : respString = '(Warning) ' + respString if 'S' in respType : self . printSysLog ( respString ) self . results [ 'response' ] = ( self . results [ 'response' ] + respString . splitlines ( ) ) return
def prefix ( self , name ) : """: param string name : the name of an attribute to look up . : return : the prefix component of the named attribute ' s name , or None ."""
a_node = self . adapter . get_node_attribute_node ( self . impl_element , name ) if a_node is None : return None return a_node . prefix
def get_all_conversion_chains_to_type ( self , to_type : Type [ Any ] ) -> Tuple [ List [ Converter ] , List [ Converter ] , List [ Converter ] ] : """Utility method to find all converters to a given type : param to _ type : : return :"""
return self . get_all_conversion_chains ( to_type = to_type )
def until ( self , regex ) : """Wait until the regex encountered"""
logger . debug ( 'waiting for %s' , regex ) r = re . compile ( regex , re . M ) self . tn . expect ( [ r ] )
def mnemonic_phrase ( self , length : int = 12 ) -> str : """Generate pseudo mnemonic phrase . : param length : Number of words . : return : Mnemonic code ."""
words = self . __words [ 'normal' ] return ' ' . join ( self . random . choice ( words ) for _ in range ( length ) )
def move_phasecenter ( d , l1 , m1 , u , v ) : """Handler function for phaseshift _ threaded"""
logger . info ( 'Rephasing data to (l, m)=(%.4f, %.4f).' % ( l1 , m1 ) ) data_resamp = numpyview ( data_resamp_mem , 'complex64' , datashape ( d ) ) rtlib . phaseshift_threaded ( data_resamp , d , l1 , m1 , u , v )
def print_update ( self , stream = sys . stdout , job_stats = None ) : """Print an update about the current number of jobs running"""
if job_stats is None : job_stats = JobStatusVector ( ) job_det_list = [ ] job_det_list += self . _scatter_link . jobs . values ( ) for job_dets in job_det_list : if job_dets . status == JobStatus . no_job : continue job_stats [ job_dets . status ] += 1 stream . write ( "Statu...
def update_thumbnail_via_upload ( api_key , api_secret , video_key , local_video_image_path = '' , api_format = 'json' , ** kwargs ) : """Function which updates the thumbnail for a particular video object with a locally saved image . : param api _ key : < string > JWPlatform api - key : param api _ secret : < s...
jwplatform_client = jwplatform . Client ( api_key , api_secret ) logging . info ( "Updating video thumbnail." ) try : response = jwplatform_client . videos . thumbnails . update ( video_key = video_key , ** kwargs ) except jwplatform . errors . JWPlatformError as e : logging . error ( "Encountered an error upda...
def group ( self ) : """Get group ."""
for group in self . _server . groups : if self . identifier in group . clients : return group
def get_metric_group_infos ( self ) : """Get the faked metric group definitions for this context object that are to be returned from its create operation , in the format needed for the " Create Metrics Context " operation response . Returns : " metric - group - infos " JSON object as described for the " Cre...
mg_defs = self . get_metric_group_definitions ( ) mg_infos = [ ] for mg_def in mg_defs : metric_infos = [ ] for metric_name , metric_type in mg_def . types : metric_infos . append ( { 'metric-name' : metric_name , 'metric-type' : metric_type , } ) mg_info = { 'group-name' : mg_def . name , 'metric-i...
def determinant ( self ) : """The determinant of the transform matrix . This value is equal to the area scaling factor when the transform is applied to a shape ."""
a , b , c , d , e , f , g , h , i = self return a * e - b * d
def call_antlr4 ( arg ) : "calls antlr4 on grammar file"
# pylint : disable = unused - argument , unused - variable antlr_path = os . path . join ( ROOT_DIR , "java" , "antlr-4.7-complete.jar" ) classpath = os . pathsep . join ( [ "." , "{:s}" . format ( antlr_path ) , "$CLASSPATH" ] ) generated = os . path . join ( ROOT_DIR , 'src' , 'pymoca' , 'generated' ) cmd = "java -Xm...
def maybe_convert_to_index_date_type ( index , date ) : """Convert a datetime - like object to the index ' s date type . Datetime indexing in xarray can be done using either a pandas DatetimeIndex or a CFTimeIndex . Both support partial - datetime string indexing regardless of the calendar type of the underly...
if isinstance ( date , str ) : return date if isinstance ( index , pd . DatetimeIndex ) : if isinstance ( date , np . datetime64 ) : return date else : return np . datetime64 ( str ( date ) ) else : date_type = index . date_type if isinstance ( date , date_type ) : return dat...
def functions ( context ) : """Manage AWS Lambda functions"""
# find lambder . json in CWD config_file = "./lambder.json" if os . path . isfile ( config_file ) : context . obj = FunctionConfig ( config_file ) pass
def in_segmentlist ( column , segmentlist ) : """Return the index of values lying inside the given segmentlist A ` ~ gwpy . segments . Segment ` represents a semi - open interval , so for any segment ` [ a , b ) ` , a value ` x ` is ' in ' the segment if a < = x < b"""
segmentlist = type ( segmentlist ) ( segmentlist ) . coalesce ( ) idx = column . argsort ( ) contains = numpy . zeros ( column . shape [ 0 ] , dtype = bool ) j = 0 try : segstart , segend = segmentlist [ j ] except IndexError : # no segments , return all False return contains i = 0 while i < contains . shape [ ...
def activate_membercard ( self , membership_number , code , ** kwargs ) : """激活会员卡 - 接口激活方式 详情请参见 https : / / mp . weixin . qq . com / wiki ? t = resource / res _ main & id = mp1451025283 参数示例 : " init _ bonus " : 100, " init _ bonus _ record " : " 旧积分同步 " , " init _ balance " : 200, " membership _ nu...
kwargs [ 'membership_number' ] = membership_number kwargs [ 'code' ] = code return self . _post ( 'card/membercard/activate' , data = kwargs )
def parse ( self , configManager , config ) : """Parses commandline arguments , given a series of configuration options . Inputs : configManager - Our parent ConfigManager instance which is constructing the Config object . config - The _ Config object containing configuration options populated thus far . Outp...
argParser = self . getArgumentParser ( configManager , config ) return vars ( argParser . parse_args ( ) )
def validate_is_callable_or_none ( option , value ) : """Validates that ' value ' is a callable ."""
if value is None : return value if not callable ( value ) : raise ValueError ( "%s must be a callable" % ( option , ) ) return value
def colRowIsOnSciencePixelList ( self , col , row , padding = DEFAULT_PADDING ) : """similar to colRowIsOnSciencePixelList ( ) but takes lists as input"""
out = np . ones ( len ( col ) , dtype = bool ) col_arr = np . array ( col ) row_arr = np . array ( row ) mask = np . bitwise_or ( col_arr < 12. - padding , col_arr > 1111 + padding ) out [ mask ] = False mask = np . bitwise_or ( row_arr < 20. - padding , row_arr > 1043 + padding ) out [ mask ] = False return out