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def _get_flatchoices ( self ) : """Redefine standard method . Return constants themselves instead of their names for right rendering in admin ' s ' change _ list ' view , if field is present in ' list _ display ' attribute of model ' s admin ."""
return [ ( self . to_python ( choice ) , value ) for choice , value in self . _choices ]
def globalsfilter ( input_dict , check_all = False , filters = None , exclude_private = None , exclude_capitalized = None , exclude_uppercase = None , exclude_unsupported = None , excluded_names = None ) : """Keep only objects that can be pickled"""
output_dict = { } for key , value in list ( input_dict . items ( ) ) : excluded = ( exclude_private and key . startswith ( '_' ) ) or ( exclude_capitalized and key [ 0 ] . isupper ( ) ) or ( exclude_uppercase and key . isupper ( ) and len ( key ) > 1 and not key [ 1 : ] . isdigit ( ) ) or ( key in excluded_names ) ...
def assure_cache ( project_path = None ) : """Assure that a project directory has a cache folder . If not , it will create it ."""
project_path = path ( project_path , ISDIR ) cache_path = os . path . join ( project_path , CACHE_NAME ) if not os . path . isdir ( cache_path ) : os . mkdir ( cache_path )
def index_of_coincidence ( * texts ) : """Calculate the index of coincidence for one or more ` ` texts ` ` . The results are averaged over multiple texts to return the delta index of coincidence . Examples : > > > index _ of _ coincidence ( " aabbc " ) 0.2 > > > index _ of _ coincidence ( " aabbc " , " ab...
if not texts : raise ValueError ( "texts must not be empty" ) return statistics . mean ( _calculate_index_of_coincidence ( frequency_analyze ( text ) , len ( text ) ) for text in texts )
def transaction_insert_dict_auto_inc ( self , transaction_cursor , tblname , d , unique_id_fields = [ ] , fields = None , check_existing = False , id_field = 'ID' ) : '''A transaction wrapper for inserting dicts into fields with an autoincrementing ID . Insert the record and return the associated ID ( long ) .'''
sql , params , record_exists = self . create_insert_dict_string ( tblname , d , PKfields = unique_id_fields , fields = fields , check_existing = check_existing ) if not record_exists : transaction_cursor . execute ( sql , params ) id = transaction_cursor . lastrowid if id == None : id = self . get_unique_record...
def optimise_xy ( xy , * args ) : """Return negative pore diameter for x and y coordinates optimisation ."""
z , elements , coordinates = args window_com = np . array ( [ xy [ 0 ] , xy [ 1 ] , z ] ) return - pore_diameter ( elements , coordinates , com = window_com ) [ 0 ]
def send_message_event ( self , room_id , event_type , content , txn_id = None , timestamp = None ) : """Perform PUT / rooms / $ room _ id / send / $ event _ type Args : room _ id ( str ) : The room ID to send the message event in . event _ type ( str ) : The event type to send . content ( dict ) : The JSON...
if not txn_id : txn_id = self . _make_txn_id ( ) path = "/rooms/%s/send/%s/%s" % ( quote ( room_id ) , quote ( event_type ) , quote ( str ( txn_id ) ) , ) params = { } if timestamp : params [ "ts" ] = timestamp return self . _send ( "PUT" , path , content , query_params = params )
def to_python ( self , value ) : """Return a str representation of the hexadecimal"""
if isinstance ( value , six . string_types ) : return value if value is None : return value return _unsigned_integer_to_hex_string ( value )
def primaryName ( self , value : Optional [ str ] ) -> None : """Set the value of isPrimary . : param value : the value to set isPrimary to"""
if value is not None : self . warned_no_primary = False self . primaryNames [ self . viewNo ] = value self . compact_primary_names ( ) if value != self . _primaryName : self . _primaryName = value self . logger . info ( "{} setting primaryName for view no {} to: {}" . format ( self , self . viewNo , value )...
def create_menu ( self ) : """Create the MenuBar for the GUI current structure is : File : Change Working Directory , Import Interpretations from LSQ file , Import interpretations from a redo file , Save interpretations to a redo file , Save MagIC tables , Save Plots Edit : New Interpretation , Delete Inter...
self . menubar = wx . MenuBar ( ) # File Menu menu_file = wx . Menu ( ) m_change_WD = menu_file . Append ( - 1 , "Change Working Directory\tCtrl-W" , "" ) self . Bind ( wx . EVT_MENU , self . on_menu_change_working_directory , m_change_WD ) m_import_meas_file = menu_file . Append ( - 1 , "Change measurements file" , ""...
def do_genesis ( args , data_dir = None ) : """Given the command args , take an series of input files containing GenesisData , combine all the batches into one GenesisData , and output the result into a new file ."""
if data_dir is None : data_dir = get_data_dir ( ) if not os . path . exists ( data_dir ) : raise CliException ( "Data directory does not exist: {}" . format ( data_dir ) ) genesis_batches = [ ] for input_file in args . input_file : print ( 'Processing {}...' . format ( input_file ) ) input_data = BatchL...
def get_avatar_metadata ( self ) : """Gets the metadata for an asset . return : ( osid . Metadata ) - metadata for the asset * compliance : mandatory - - This method must be implemented . *"""
# Implemented from template for osid . resource . ResourceForm . get _ group _ metadata _ template metadata = dict ( self . _mdata [ 'avatar' ] ) metadata . update ( { 'existing_id_values' : self . _my_map [ 'avatarId' ] } ) return Metadata ( ** metadata )
def parallel_loop ( func , n_jobs = 1 , verbose = 1 ) : """run loops in parallel , if joblib is available . Parameters func : function function to be executed in parallel n _ jobs : int | None Number of jobs . If set to None , do not attempt to use joblib . verbose : int verbosity level Notes Exec...
if n_jobs : try : from joblib import Parallel , delayed except ImportError : try : from sklearn . externals . joblib import Parallel , delayed except ImportError : n_jobs = None if not n_jobs : if verbose : print ( 'running ' , func , ' serially' ) ...
def process_tag ( self , tag ) : """Processes tag and detects which function to use"""
try : if not self . _is_function ( tag ) : self . _tag_type_processor [ tag . data_type ] ( tag ) except KeyError as ex : raise Exception ( 'Tag type {0} not recognized for tag {1}' . format ( tag . data_type , tag . name ) , ex )
def _prepare_summary ( evolve_file , ssm_file , cnv_file , work_dir , somatic_info ) : """Prepare a summary with gene - labelled heterogeneity from PhyloWGS predictions ."""
out_file = os . path . join ( work_dir , "%s-phylowgs.txt" % somatic_info . tumor_name ) if not utils . file_uptodate ( out_file , evolve_file ) : with file_transaction ( somatic_info . tumor_data , out_file ) as tx_out_file : with open ( tx_out_file , "w" ) as out_handle : ssm_locs = _read_ssm_...
def hash_starts_numeric ( records ) : """Very useful function that only accepts records with a numeric start to their sha - 1 hash ."""
for record in records : seq_hash = hashlib . sha1 ( str ( record . seq ) ) . hexdigest ( ) if seq_hash [ 0 ] . isdigit ( ) : yield record
def gaussApprox ( self , xy , ** kwargs ) : """NAME : gaussApprox PURPOSE : return the mean and variance of a Gaussian approximation to the stream DF at a given phase - space point in Galactocentric rectangular coordinates ( distribution is over missing directions ) INPUT : xy - phase - space point [ X , ...
interp = kwargs . get ( 'interp' , self . _useInterp ) lb = kwargs . get ( 'lb' , False ) # What are we looking for coordGiven = numpy . array ( [ not x is None for x in xy ] , dtype = 'bool' ) nGiven = numpy . sum ( coordGiven ) # First find the nearest track point if not 'cindx' in kwargs and lb : cindx = self . ...
def mxmg ( m1 , m2 , nrow1 , ncol1 , ncol2 ) : """Multiply two double precision matrices of arbitrary size . http : / / naif . jpl . nasa . gov / pub / naif / toolkit _ docs / C / cspice / mxmg _ c . html : param m1 : nrow1 X ncol1 double precision matrix . : type m1 : NxM - Element Array of floats : param ...
m1 = stypes . toDoubleMatrix ( m1 ) m2 = stypes . toDoubleMatrix ( m2 ) mout = stypes . emptyDoubleMatrix ( x = ncol2 , y = nrow1 ) nrow1 = ctypes . c_int ( nrow1 ) ncol1 = ctypes . c_int ( ncol1 ) ncol2 = ctypes . c_int ( ncol2 ) libspice . mxmg_c ( m1 , m2 , nrow1 , ncol1 , ncol2 , mout ) return stypes . cMatrixToNum...
def cart2sph ( x , y , z ) : """Converts cartesian coordinates ` x ` , ` y ` , ` z ` into a longitude and latitude . x = 0 , y = 0 , z = 0 is assumed to correspond to the center of the globe . Returns lon and lat in radians . Parameters ` x ` , ` y ` , ` z ` : Arrays of cartesian coordinates Returns lon...
r = np . sqrt ( x ** 2 + y ** 2 + z ** 2 ) lat = np . arcsin ( z / r ) lon = np . arctan2 ( y , x ) return lon , lat
def ping ( ) : '''Check to see if the host is responding . Returns False if the host didn ' t respond , True otherwise . CLI Example : . . code - block : : bash salt cisco - nso test . ping'''
try : client = _get_client ( ) client . info ( ) except SaltSystemExit as err : log . warning ( err ) return False return True
def _objective_function ( X , W , R , S , gamma ) : """Evaluate the objective function . . . math : : \\ sum _ { i = 1 } ^ { N } 1/2 \\ | X _ i - W _ i R - S _ i \\ | _ F ^ 2 . . math : : + / \\ gamma * \\ | S _ i \\ | _ 1 Parameters X : list of array , element i has shape = [ voxels _ i , timepoints ] Ea...
subjs = len ( X ) func = .0 for i in range ( subjs ) : func += 0.5 * np . sum ( ( X [ i ] - W [ i ] . dot ( R ) - S [ i ] ) ** 2 ) + gamma * np . sum ( np . abs ( S [ i ] ) ) return func
def str_kwargs ( self ) : """Generator that yields a dict of values corresponding to the calendar date and time for the internal JD values ."""
iys , ims , ids , ihmsfs = d2dtf ( self . scale . upper ( ) . encode ( 'utf8' ) , 6 , self . jd1 , self . jd2 ) # Get the str _ fmt element of the first allowed output subformat _ , _ , str_fmt = self . _select_subfmts ( self . out_subfmt ) [ 0 ] yday = None has_yday = '{yday:' in str_fmt or False ihrs = ihmsfs [ ... ,...
def get_record ( self , name , record_id ) : """Retrieve a record with a given type name and record id . Args : name ( string ) : The name which the record is stored under . record _ id ( int ) : The id of the record requested . Returns : : class : ` cinder _ data . model . CinderModel ` : The cached mode...
if name in self . _cache : if record_id in self . _cache [ name ] : return self . _cache [ name ] [ record_id ]
def get_project_config ( self , * args , ** kwargs ) : """Returns a ProjectConfig for the given project"""
warnings . warn ( "BaseGlobalConfig.get_project_config is pending deprecation" , DeprecationWarning , ) return self . project_config_class ( self , * args , ** kwargs )
def subscribe_to_quorum_channel ( self ) : """In case the experiment enforces a quorum , listen for notifications before creating Partipant objects ."""
from dallinger . experiment_server . sockets import chat_backend self . log ( "Bot subscribing to quorum channel." ) chat_backend . subscribe ( self , "quorum" )
def addBaseType ( self , item ) : '''Add a Type instance to the data model .'''
ctor = '.' . join ( [ item . __class__ . __module__ , item . __class__ . __qualname__ ] ) self . _modeldef [ 'ctors' ] . append ( ( ( item . name , ctor , dict ( item . opts ) , dict ( item . info ) ) ) ) self . types [ item . name ] = item
def superuser_only ( view_func ) : """Limit a view to superuser only ."""
def _inner ( request , * args , ** kwargs ) : if not request . user . is_superuser : raise PermissionDenied return view_func ( request , * args , ** kwargs ) return _inner
def process_request ( self , request , response ) : """Logs the basic endpoint requested"""
self . logger . info ( 'Requested: {0} {1} {2}' . format ( request . method , request . relative_uri , request . content_type ) )
def bbox_vert_aligned_right ( box1 , box2 ) : """Returns true if the right boundary of both boxes is within 2 pts"""
if not ( box1 and box2 ) : return False return abs ( box1 . right - box2 . right ) <= 2
def compact ( self , term_doc_matrix ) : '''Parameters term _ doc _ matrix : TermDocMatrix Term document matrix object to compact Returns TermDocMatrix'''
rank_df = self . scorer . get_rank_df ( term_doc_matrix ) return self . _prune_higher_ranked_terms ( term_doc_matrix , rank_df , self . rank )
def _Soundex ( self ) : """The Soundex phonetic indexing algorithm adapted to ME phonology . Algorithm : Let w the original word and W the resulting one 1 ) Capitalize the first letter of w and append it to W 2 ) Apply the following replacement rules p , b , f , v , gh ( non - nasal fricatives ) - > 1 t...
word = self . word [ 1 : ] for w , val in zip ( dict_SE . keys ( ) , dict_SE . values ( ) ) : word = word . replace ( w , val ) # Remove multiple adjacent occurences of digit word = re . sub ( r"(\d)\1+" , r"\1" , word ) # Strip remaining letters word = re . sub ( r"[a-zðþƿ]+" , "" , word ) # Add trailing zeroes an...
def return_hdr ( self ) : """Return the header for further use . Returns subj _ id : str subject identification code start _ time : datetime start time of the dataset s _ freq : float sampling frequency chan _ name : list of str list of all the channels n _ samples : int number of samples in t...
subj_id = self . task . subject sampling_freq = set ( self . task . channels . get ( map_lambda = lambda x : x [ 'sampling_frequency' ] ) ) if len ( sampling_freq ) > 1 : raise ValueError ( 'Multiple sampling frequencies not supported' ) s_freq = float ( next ( iter ( sampling_freq ) ) ) chan_name = self . task . c...
def server_bind ( self ) : """Override to enable IPV4 mapping for IPV6 sockets when desired . The main use case for this is so that when no host is specified , TensorBoard can listen on all interfaces for both IPv4 and IPv6 connections , rather than having to choose v4 or v6 and hope the browser didn ' t choo...
socket_is_v6 = ( hasattr ( socket , 'AF_INET6' ) and self . socket . family == socket . AF_INET6 ) has_v6only_option = ( hasattr ( socket , 'IPPROTO_IPV6' ) and hasattr ( socket , 'IPV6_V6ONLY' ) ) if self . _auto_wildcard and socket_is_v6 and has_v6only_option : try : self . socket . setsockopt ( socket . ...
def log_download ( self , log_num , filename ) : '''download a log file'''
print ( "Downloading log %u as %s" % ( log_num , filename ) ) self . download_lognum = log_num self . download_file = open ( filename , "wb" ) self . master . mav . log_request_data_send ( self . target_system , self . target_component , log_num , 0 , 0xFFFFFFFF ) self . download_filename = filename self . download_set...
def private_dir_path ( app_name ) : """Returns the private directory path : param str app _ name : the name of the app : rtype : str : returns : directory path"""
_private_dir_path = os . path . expanduser ( click . get_app_dir ( app_name , force_posix = True , # forces to ~ / . tigerhost on Mac and Unix ) ) return _private_dir_path
def mediate_transfer ( state : MediatorTransferState , possible_routes : List [ 'RouteState' ] , payer_channel : NettingChannelState , channelidentifiers_to_channels : ChannelMap , nodeaddresses_to_networkstates : NodeNetworkStateMap , pseudo_random_generator : random . Random , payer_transfer : LockedTransferSignedSta...
reachable_routes = filter_reachable_routes ( possible_routes , nodeaddresses_to_networkstates , ) available_routes = filter_used_routes ( state . transfers_pair , reachable_routes , ) assert payer_channel . partner_state . address == payer_transfer . balance_proof . sender transfer_pair , mediated_events = forward_tran...
def cli ( env , identifier ) : """Delete an image ."""
image_mgr = SoftLayer . ImageManager ( env . client ) image_id = helpers . resolve_id ( image_mgr . resolve_ids , identifier , 'image' ) image_mgr . delete_image ( image_id )
def bvlpdu_contents ( self , use_dict = None , as_class = dict ) : """Return the contents of an object as a dict ."""
# make / extend the dictionary of content if use_dict is None : use_dict = as_class ( ) # save the content use_dict . __setitem__ ( 'address' , str ( self . fdAddress ) ) use_dict . __setitem__ ( 'ttl' , self . fdTTL ) use_dict . __setitem__ ( 'remaining' , self . fdRemain ) # return what we built / updated return ...
def _update_repo ( ret , name , target , clean , user , identity , rev , opts , update_head ) : '''Update the repo to a given revision . Using clean passes - C to the hg up'''
log . debug ( 'target %s is found, "hg pull && hg up is probably required"' , target ) current_rev = __salt__ [ 'hg.revision' ] ( target , user = user , rev = '.' ) if not current_rev : return _fail ( ret , 'Seems that {0} is not a valid hg repo' . format ( target ) ) if __opts__ [ 'test' ] : test_result = ( 'R...
def split_s3_path ( url : str ) -> Tuple [ str , str ] : """Split a full s3 path into the bucket name and path ."""
parsed = urlparse ( url ) if not parsed . netloc or not parsed . path : raise ValueError ( "bad s3 path {}" . format ( url ) ) bucket_name = parsed . netloc s3_path = parsed . path # Remove ' / ' at beginning of path . if s3_path . startswith ( "/" ) : s3_path = s3_path [ 1 : ] return bucket_name , s3_path
def _filter_subgraph ( self , subgraph , predicate ) : """Given a subgraph of the manifest , and a predicate , filter the subgraph using that predicate . Generates a list of nodes ."""
to_return = [ ] for unique_id , item in subgraph . items ( ) : if predicate ( item ) : to_return . append ( item ) return to_return
def _gen_cache_key_for_slice ( url_dict , start_int , total_int , authn_subj_list ) : """Generate cache key for the REST URL the client is currently accessing or is expected to access in order to get the slice starting at the given ` ` start _ int ` ` of a multi - slice result set . When used for finding the ...
# logging . debug ( ' Gen key . result _ record _ count = { } ' . format ( result _ record _ count ) ) key_url_dict = copy . deepcopy ( url_dict ) key_url_dict [ 'query' ] . pop ( 'start' , None ) key_url_dict [ 'query' ] . pop ( 'count' , None ) key_json = d1_common . util . serialize_to_normalized_compact_json ( { 'u...
def validate_unit_process_ids ( self , expected , actual ) : """Validate process id quantities for services on units ."""
self . log . debug ( 'Checking units for running processes...' ) self . log . debug ( 'Expected PIDs: {}' . format ( expected ) ) self . log . debug ( 'Actual PIDs: {}' . format ( actual ) ) if len ( actual ) != len ( expected ) : return ( 'Unit count mismatch. expected, actual: {}, ' '{} ' . format ( len ( expect...
def arguments ( ) : """Pulls in command line arguments ."""
DESCRIPTION = """\ """ parser = argparse . ArgumentParser ( description = DESCRIPTION , formatter_class = Raw ) parser . add_argument ( "--email" , dest = "email" , action = 'store' , required = False , default = False , help = "An email address is required for querying Entrez databases." ) parser . add_argument ( ...
def get_doc_entries ( target : typing . Callable ) -> list : """Gets the lines of documentation from the given target , which are formatted so that each line is a documentation entry . : param target : : return : A list of strings containing the documentation block entries"""
raw = get_docstring ( target ) if not raw : return [ ] raw_lines = [ line . strip ( ) for line in raw . replace ( '\r' , '' ) . split ( '\n' ) ] def compactify ( compacted : list , entry : str ) -> list : chars = entry . strip ( ) if not chars : return compacted if len ( compacted ) < 1 or chars...
def _extract_value ( self , value ) : """If the value is true / false / null replace with Python equivalent ."""
return ModelEndpoint . _value_map . get ( smart_str ( value ) . lower ( ) , value )
def _update_case ( self , bs , ln , gn , base_mva , Yf , Yt , Va , Vm , Pg , Qg , lmbda ) : """Calculates the result attribute values ."""
V = Vm * exp ( 1j * Va ) # Va _ var = self . om . get _ var ( " Va " ) Vm_var = self . _Vm Pmis = self . om . get_nln_constraint ( "Pmis" ) Qmis = self . om . get_nln_constraint ( "Qmis" ) Pg_var = self . _Pg Qg_var = self . _Qg # mu _ l = lmbda [ " mu _ l " ] # mu _ u = lmbda [ " mu _ u " ] lower = lmbda [ "lower" ] u...
def encode ( self , obj ) : """Returns ` ` obj ` ` serialized as a pickle binary string . Raises ~ ipfsapi . exceptions . EncodingError Parameters obj : object Serializable Python object Returns bytes"""
try : return pickle . dumps ( obj ) except pickle . PicklingError as error : raise exceptions . EncodingError ( 'pickle' , error )
def get_default_config ( self ) : """Return the default config for the handler"""
config = super ( MultiGraphitePickleHandler , self ) . get_default_config ( ) config . update ( { 'host' : [ 'localhost' ] , 'port' : 2003 , 'proto' : 'tcp' , 'timeout' : 15 , 'batch' : 1 , 'max_backlog_multiplier' : 5 , 'trim_backlog_multiplier' : 4 , } ) return config
def get_template ( self , template_id ) : """Get a particular lightcurve template Parameters template _ id : str id of desired template Returns phase : ndarray array of phases mag : ndarray array of normalized magnitudes"""
try : data = np . loadtxt ( self . data . extractfile ( template_id + '.dat' ) ) except KeyError : raise ValueError ( "invalid star id: {0}" . format ( template_id ) ) return data [ : , 0 ] , data [ : , 1 ]
def _verify_configs ( configs ) : """Verify a Molecule config was found and returns None . : param configs : A list containing absolute paths to Molecule config files . : return : None"""
if configs : scenario_names = [ c . scenario . name for c in configs ] for scenario_name , n in collections . Counter ( scenario_names ) . items ( ) : if n > 1 : msg = ( "Duplicate scenario name '{}' found. " 'Exiting.' ) . format ( scenario_name ) util . sysexit_with_message ( ...
def decode_dict ( data ) : """解析json字典 , 转换成utf - 8"""
if six . PY3 : return data rv = { } for key , value in iteritems ( data ) : if isinstance ( key , text_type ) : key = key . encode ( 'utf-8' ) if isinstance ( value , text_type ) : value = value . encode ( 'utf-8' ) elif isinstance ( value , list ) : value = _decode_list ( value ...
def _copy_stream_position ( position ) : """Copy a StreamPosition . Args : position ( Union [ dict , ~ google . cloud . bigquery _ storage _ v1beta1 . types . StreamPosition ] ) : StreamPostion ( or dictionary in StreamPosition format ) to copy . Returns : ~ google . cloud . bigquery _ storage _ v1beta1 ....
if isinstance ( position , types . StreamPosition ) : output = types . StreamPosition ( ) output . CopyFrom ( position ) return output return types . StreamPosition ( ** position )
def extract_relationtypes ( urml_xml_tree ) : """extracts the allowed RST relation names and relation types from an URML XML file . Parameters urml _ xml _ tree : lxml . etree . _ ElementTree lxml ElementTree representation of an URML XML file Returns relations : dict of ( str , str ) Returns a dictio...
return { rel . attrib [ 'name' ] : rel . attrib [ 'type' ] for rel in urml_xml_tree . iterfind ( '//header/reltypes/rel' ) if 'type' in rel . attrib }
def histogram_cover ( self , minAcc , maxAcc , groupBy = None , new_reg_fields = None ) : """* Wrapper of * ` ` COVER ` ` Variant of the function : meth : ` ~ . cover ` that returns all regions contributing to the COVER divided in different ( contiguous ) parts according to their accumulation index value ( on...
return self . cover ( minAcc , maxAcc , groupBy , new_reg_fields , cover_type = "histogram" )
def on_pubmsg ( self , connection , event ) : """Messages received in the channel - send them to the WebSocket ."""
for message in event . arguments ( ) : nickname = self . get_nickname ( event ) nickname_color = self . nicknames [ nickname ] self . namespace . emit ( "message" , nickname , message , nickname_color )
def bucket_type ( self , name ) : """Gets the bucket - type by the specified name . Bucket - types do not always exist ( unlike buckets ) , but this will always return a : class : ` BucketType < riak . bucket . BucketType > ` object . : param name : the bucket - type name : type name : str : rtype : : cla...
if not isinstance ( name , string_types ) : raise TypeError ( 'BucketType name must be a string' ) btype = BucketType ( self , name ) return self . _setdefault_handle_none ( self . _bucket_types , name , btype )
def _set_snmp ( self , v , load = False ) : """Setter method for snmp , mapped from YANG variable / interface / tengigabitethernet / snmp ( container ) If this variable is read - only ( config : false ) in the source YANG file , then _ set _ snmp is considered as a private method . Backends looking to populat...
if hasattr ( v , "_utype" ) : v = v . _utype ( v ) try : t = YANGDynClass ( v , base = snmp . snmp , is_container = 'container' , presence = False , yang_name = "snmp" , rest_name = "snmp" , parent = self , path_helper = self . _path_helper , extmethods = self . _extmethods , register_paths = True , extensions ...
def sudoku ( G ) : """Solving Sudoku : param G : integer matrix with 0 at empty cells : returns bool : True if grid could be solved : modifies : G will contain the solution : complexity : huge , but linear for usual published 9x9 grids"""
global N , N2 , N4 if len ( G ) == 16 : # for a 16 x 16 sudoku grid N , N2 , N4 = 4 , 16 , 256 e = 4 * N4 universe = e + 1 S = [ [ rc ( a ) , rv ( a ) , cv ( a ) , bv ( a ) ] for a in range ( N4 * N2 ) ] A = [ e ] for r in range ( N2 ) : for c in range ( N2 ) : if G [ r ] [ c ] != 0 : a = as...
def get_column ( matrix : list , col_index : int ) -> list : """This function retrieves the specified column from the provided nested list ( matrix ) . Args : matrix ( list ) : The nested list from which we need to extract the column . col _ index ( int ) : The index of the column to be extracted . Returns ...
return [ row [ col_index ] for row in matrix ]
def _validate_nested_list_type ( self , name , obj , nested_level , * args ) : """Helper function that checks the input object as a list then recursively until nested _ level is 1. : param name : Name of the object . : param obj : Object to check the type of . : param nested _ level : Integer with the current...
if nested_level <= 1 : self . _validate_list_type ( name , obj , * args ) else : if obj is None : return if not isinstance ( obj , list ) : raise TypeError ( self . __class__ . __name__ + '.' + name + ' contains value of type ' + type ( obj ) . __name__ + ' where a list is expected' ) fo...
def create ( gandi , domain , zone_id , name , type , value , ttl ) : """Create new DNS zone record entry for a domain ."""
if not zone_id : result = gandi . domain . info ( domain ) zone_id = result [ 'zone_id' ] if not zone_id : gandi . echo ( 'No zone records found, domain %s doesn\'t seems to be ' 'managed at Gandi.' % domain ) return record = { 'type' : type , 'name' : name , 'value' : value } if ttl : record [ 'ttl...
def _get_attributes ( self , path ) : """: param path : filepath within fast5 : return : dictionary of attributes found at ` ` path ` ` : rtype dict"""
path_grp = self . handle [ path ] path_attr = path_grp . attrs return dict ( path_attr )
def set_from_json ( self , obj , json , models = None , setter = None ) : '''Sets the value of this property from a JSON value . This method first Args : obj ( HasProps ) : json ( JSON - dict ) : models ( seq [ Model ] , optional ) : setter ( ClientSession or ServerSession or None , optional ) : This ...
if isinstance ( json , dict ) : # we want to try to keep the " format " of the data spec as string , dict , or number , # assuming the serialized dict is compatible with that . old = getattr ( obj , self . name ) if old is not None : try : self . property . _type . validate ( old , False ) ...
def parseURIReference ( self , str ) : """Parse an URI reference string based on RFC 3986 and fills in the appropriate fields of the @ uri structure URI - reference = URI / relative - ref"""
ret = libxml2mod . xmlParseURIReference ( self . _o , str ) return ret
def to_internal_value_single ( self , data , serializer ) : """Return the underlying object , given the serialized form ."""
related_model = serializer . Meta . model if isinstance ( data , related_model ) : return data try : instance = related_model . objects . get ( pk = data ) except related_model . DoesNotExist : raise ValidationError ( "Invalid value for '%s': %s object with ID=%s not found" % ( self . field_name , related_m...
def workerScript ( jobStore , config , jobName , jobStoreID , redirectOutputToLogFile = True ) : """Worker process script , runs a job . : param str jobName : The " job name " ( a user friendly name ) of the job to be run : param str jobStoreLocator : Specifies the job store to use : param str jobStoreID : Th...
logging . basicConfig ( ) setLogLevel ( config . logLevel ) # Create the worker killer , if requested logFileByteReportLimit = config . maxLogFileSize if config . badWorker > 0 and random . random ( ) < config . badWorker : # We need to kill the process we are currently in , to simulate worker # failure . We don ' t wa...
def raw_update ( self , attributes = None ) : """Run a raw update against the base query . : type attributes : dict : rtype : int"""
if attributes is None : attributes = { } if self . _query is not None : return self . _query . update ( attributes )
def _handle_remark_msg ( self , msg ) : """Try to parse the message provided with the remark tag or element . : param str msg : The message : raises overpy . exception . OverpassRuntimeError : If message starts with ' runtime error : ' : raises overpy . exception . OverpassRuntimeRemark : If message starts wi...
msg = msg . strip ( ) if msg . startswith ( "runtime error:" ) : raise exception . OverpassRuntimeError ( msg = msg ) elif msg . startswith ( "runtime remark:" ) : raise exception . OverpassRuntimeRemark ( msg = msg ) raise exception . OverpassUnknownError ( msg = msg )
def write_handle ( self , handle : int , value : bytes ) : """Write a handle to the device ."""
if not self . is_connected ( ) : raise BluetoothBackendException ( 'Not connected to device!' ) self . _device . char_write_handle ( handle , value , True ) return True
def parse ( self , s ) : """Parse reaction string ."""
global_comp = None if self . _parse_global : # Split by colon for global compartment information m = re . match ( r'^\s*\[(\w+)\]\s*:\s*(.*)' , s ) if m is not None : global_comp = m . group ( 1 ) s = m . group ( 2 ) expect_operator = False direction = None left = [ ] right = [ ] current_side = ...
def play ( self ) : """Change state to playing ."""
if self . state == STATE_PAUSED : self . _player . set_state ( Gst . State . PLAYING ) self . state = STATE_PLAYING
def _read_header ( self ) : """Reads the message header from the input stream . : returns : tuple containing deserialized header and header _ auth objects : rtype : tuple of aws _ encryption _ sdk . structures . MessageHeader and aws _ encryption _ sdk . internal . structures . MessageHeaderAuthentication :...
header , raw_header = deserialize_header ( self . source_stream ) self . __unframed_bytes_read += len ( raw_header ) if ( self . config . max_body_length is not None and header . content_type == ContentType . FRAMED_DATA and header . frame_length > self . config . max_body_length ) : raise CustomMaximumValueExceede...
def new ( self , name ) : """Build a stub migration with name + auto - id in config [ ' migration _ home ' ] There is no guarantee this id will be unique for all remote migration configurations . Conflicts will require manual management ."""
# XXX : dc : assert that the name is somewhat sane and follows python # naming conventions next_id = 0 cls_name = '_' . join ( ( name , next_id ) ) with open ( pjoin ( self . migration_home , name ) , "w+" ) as new_migration : print >> new_migration , migration_tmpl . format ( cls_name = cls_name , migration_name =...
def plot_grid ( images , slices = None , axes = 2 , # general figure arguments figsize = 1. , rpad = 0 , cpad = 0 , # title arguments title = None , tfontsize = 20 , title_dx = 0 , title_dy = 0 , # row arguments rlabels = None , rfontsize = 14 , rfontcolor = 'white' , rfacecolor = 'black' , # column arguments clabels =...
def mirror_matrix ( x ) : return x [ : : - 1 , : ] def rotate270_matrix ( x ) : return mirror_matrix ( x . T ) def rotate180_matrix ( x ) : return x [ : : - 1 , : ] def rotate90_matrix ( x ) : return mirror_matrix ( x ) . T def flip_matrix ( x ) : return mirror_matrix ( rotate180_matrix ( x ) ) def ...
def _endless_page ( self , number , label = None ) : """Factory function that returns a * EndlessPage * instance . This method works just like a partial constructor ."""
return EndlessPage ( self . _request , number , self . _page . number , len ( self ) , self . _querystring_key , label = label , default_number = self . _default_number , override_path = self . _override_path , )
def rate_url ( obj , score = 1 ) : """Generates a link to " rate " the given object with the provided score - this can be used as a form target or for POSTing via Ajax ."""
return reverse ( 'ratings_rate_object' , args = ( ContentType . objects . get_for_model ( obj ) . pk , obj . pk , score , ) )
def get_validators_description ( view ) : """Returns validators description in format : # # # Validators : * validator1 name * validator1 docstring * validator2 name * validator2 docstring"""
action = getattr ( view , 'action' , None ) if action is None : return '' description = '' validators = getattr ( view , action + '_validators' , [ ] ) for validator in validators : validator_description = get_entity_description ( validator ) description += '\n' + validator_description if description else v...
def render_to_string ( self , template_file , context ) : """Render given template to string and add object to context"""
context = context if context else { } if self . object : context [ 'object' ] = self . object context [ self . object . __class__ . __name__ . lower ( ) ] = self . object return render_to_string ( template_file , context , self . request )
def set_current_language ( self , language_code , initialize = False ) : """Switch the currently activate language of the object ."""
self . _current_language = normalize_language_code ( language_code or get_language ( ) ) # Ensure the translation is present for _ _ get _ _ queries . if initialize : self . _get_translated_model ( use_fallback = False , auto_create = True )
def uncertainty_timescales ( self ) : """Estimate of the element - wise asymptotic standard deviation in the model relaxation timescales ."""
if self . information_ is None : self . _build_information ( ) sigma_timescales = _ratematrix . sigma_timescales ( self . information_ , theta = self . theta_ , n = self . n_states_ ) if self . n_timescales is None : return sigma_timescales return sigma_timescales [ : self . n_timescales ]
def submit_and_connect ( self , spec ) : """Submit a new skein application , and wait to connect to it . If an error occurs before the application connects , the application is killed . Parameters spec : ApplicationSpec , str , or dict A description of the application to run . Can be an ` ` ApplicationS...
spec = ApplicationSpec . _from_any ( spec ) app_id = self . submit ( spec ) try : return self . connect ( app_id , security = spec . master . security ) except BaseException : self . kill_application ( app_id ) raise
def write_cache_decorator ( self , node_or_pagetag , name , args , buffered , identifiers , inline = False , toplevel = False ) : """write a post - function decorator to replace a rendering callable with a cached version of itself ."""
self . printer . writeline ( "__M_%s = %s" % ( name , name ) ) cachekey = node_or_pagetag . parsed_attributes . get ( 'cache_key' , repr ( name ) ) cache_args = { } if self . compiler . pagetag is not None : cache_args . update ( ( pa [ 6 : ] , self . compiler . pagetag . parsed_attributes [ pa ] ) for pa in self ....
def from_string ( cls , public_key ) : """Construct an Verifier instance from a public key or public certificate string . Args : public _ key ( Union [ str , bytes ] ) : The public key in PEM format or the x509 public key certificate . Returns : Verifier : The constructed verifier . Raises : ValueEr...
public_key_data = _helpers . to_bytes ( public_key ) if _CERTIFICATE_MARKER in public_key_data : cert = cryptography . x509 . load_pem_x509_certificate ( public_key_data , _BACKEND ) pubkey = cert . public_key ( ) else : pubkey = serialization . load_pem_public_key ( public_key_data , _BACKEND ) return cls ...
def load_building_sample_data ( bd ) : """Sample data for the Building object : param bd : : return :"""
number_of_storeys = 6 interstorey_height = 3.4 masses = 40.0e3 # kg bd . interstorey_heights = interstorey_height * np . ones ( number_of_storeys ) bd . floor_length = 18.0 bd . floor_width = 16.0 bd . storey_masses = masses * np . ones ( number_of_storeys )
def parse_event_xml ( self , event_data ) -> dict : """Parse metadata xml ."""
event = { } event_xml = event_data . decode ( ) message = MESSAGE . search ( event_xml ) if not message : return { } event [ EVENT_OPERATION ] = message . group ( EVENT_OPERATION ) topic = TOPIC . search ( event_xml ) if topic : event [ EVENT_TOPIC ] = topic . group ( EVENT_TOPIC ) source = SOURCE . search ( ev...
def findAll ( self , tag_name , params = None , fn = None , case_sensitive = False ) : """Search for elements by their parameters using ` Depth - first algorithm < http : / / en . wikipedia . org / wiki / Depth - first _ search > ` _ . Args : tag _ name ( str ) : Name of the tag you are looking for . Set to "...
output = [ ] if self . isAlmostEqual ( tag_name , params , fn , case_sensitive ) : output . append ( self ) tmp = [ ] for el in self . childs : tmp = el . findAll ( tag_name , params , fn , case_sensitive ) if tmp : output . extend ( tmp ) return output
def randbelow ( num : int ) -> int : """Return a random int in the range [ 0 , num ) . Raises ValueError if num < = 0 , and TypeError if it ' s not an integer . > > > randbelow ( 16 ) # doctest : + SKIP 13"""
if not isinstance ( num , int ) : raise TypeError ( 'number must be an integer' ) if num <= 0 : raise ValueError ( 'number must be greater than zero' ) if num == 1 : return 0 # https : / / github . com / python / cpython / blob / 3.6 / Lib / random . py # L223 nbits = num . bit_length ( ) # don ' t use ( n ...
def complete_use ( self , text , * _ ) : """Autocomplete for use"""
return [ t + " " for t in REGIONS if t . startswith ( text ) ]
def clean_process_tree ( * signal_handler_args ) : """Stop all Processes in the current Process tree , recursively ."""
parent = psutil . Process ( ) procs = parent . children ( recursive = True ) if procs : print ( f"[ZProc] Cleaning up {parent.name()!r} ({os.getpid()})..." ) for p in procs : with suppress ( psutil . NoSuchProcess ) : p . terminate ( ) _ , alive = psutil . wait_procs ( procs , timeout = 0.5 ) # 0.5 seem...
def stop ( self ) : """Stops a paused pipeline . This will a trigger a ` ` StopIteration ` ` in the inputs of the pipeline . And retrieve the buffered results . This will stop all ` ` Pipers ` ` and ` ` NuMaps ` ` . Python will not terminate cleanly if a pipeline is running or paused ."""
if self . _started . isSet ( ) and not self . _running . isSet ( ) and not self . _pausing . isSet ( ) : # stops the dagger super ( Plumber , self ) . stop ( ) # disconnects all pipers self . disconnect ( ) self . stats [ 'run_time' ] = time ( ) - self . stats [ 'start_time' ] self . _started . clea...
def _sign_threshold_signature_fulfillment ( cls , input_ , message , key_pairs ) : """Signs a ThresholdSha256. Args : input _ ( : class : ` ~ bigchaindb . common . transaction . Input ` ) The Input to be signed . message ( str ) : The message to be signed key _ pairs ( dict ) : The keys to sign the Transa...
input_ = deepcopy ( input_ ) message = sha3_256 ( message . encode ( ) ) if input_ . fulfills : message . update ( '{}{}' . format ( input_ . fulfills . txid , input_ . fulfills . output ) . encode ( ) ) for owner_before in set ( input_ . owners_before ) : # TODO : CC should throw a KeypairMismatchException , inste...
def appliance_time_and_locale_configuration ( self ) : """Gets the ApplianceTimeAndLocaleConfiguration API client . Returns : ApplianceTimeAndLocaleConfiguration :"""
if not self . __appliance_time_and_locale_configuration : self . __appliance_time_and_locale_configuration = ApplianceTimeAndLocaleConfiguration ( self . __connection ) return self . __appliance_time_and_locale_configuration
def _prepend_name ( self , prefix , dict_ ) : '''changes the keys of the dictionary prepending them with " name . "'''
return dict ( [ '.' . join ( [ prefix , name ] ) , msg ] for name , msg in dict_ . iteritems ( ) )
def on_connect ( self , client , userdata , flags , result_code ) : """Callback when the MQTT client is connected . : param client : the client being connected . : param userdata : unused . : param flags : unused . : param result _ code : result code ."""
self . log_info ( "Connected with result code {}" . format ( result_code ) ) self . state_handler . set_state ( State . welcome )
def parse ( cls , msg ) : """Parse message string to request object ."""
lines = msg . splitlines ( ) method , uri , version = lines [ 0 ] . split ( ) headers = cls . parse_headers ( '\r\n' . join ( lines [ 1 : ] ) ) return cls ( version = version , uri = uri , method = method , headers = headers )
import math def min_steps_to_equate_numbers ( num1 , num2 ) : """Python function to determine the minimum number of operations required to make two numbers equal . Examples : > > > min _ steps _ to _ equate _ numbers ( 2 , 4) > > > min _ steps _ to _ equate _ numbers ( 4 , 10) > > > min _ steps _ to _ equ...
if ( num1 > num2 ) : num1 , num2 = num2 , num1 num2 = num2 // math . gcd ( num1 , num2 ) return num2 - 1
def _assume2point ( ) : """Convert global assumptions to a point ."""
point = dict ( ) for lit in _ASSUMPTIONS : if isinstance ( lit , Complement ) : point [ ~ lit ] = 0 elif isinstance ( lit , Variable ) : point [ lit ] = 1 return point
def add_request_handler ( self , request_handler ) : # type : ( AbstractRequestHandler ) - > None """Register input to the request handlers list . : param request _ handler : Request Handler instance to be registered . : type request _ handler : AbstractRequestHandler : return : None"""
if request_handler is None : raise RuntimeConfigException ( "Valid Request Handler instance to be provided" ) if not isinstance ( request_handler , AbstractRequestHandler ) : raise RuntimeConfigException ( "Input should be a RequestHandler instance" ) self . request_handler_chains . append ( GenericRequestHandl...
def spawn ( self , command ) : """Spawns a new process and adds it to the pool"""
# process _ name # output # time before starting ( wait for port ? ) # start _ new _ session = True : avoid sending parent signals to child env = dict ( os . environ ) env [ "MRQ_IS_SUBPROCESS" ] = "1" env . update ( self . extra_env or { } ) # Extract env variables from shell commands . parts = shlex . split ( command...