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def infos ( self , type = None , failed = False ) : """Get infos that originate from this node . Type must be a subclass of : class : ` ~ dallinger . models . Info ` , the default is ` ` Info ` ` . Failed can be True , False or " all " ."""
if type is None : type = Info if not issubclass ( type , Info ) : raise TypeError ( "Cannot get infos of type {} " "as it is not a valid type." . format ( type ) ) if failed not in [ "all" , False , True ] : raise ValueError ( "{} is not a valid vector failed" . format ( failed ) ) if failed == "all" : ...
def _get_all_cwlkeys ( items , default_keys = None ) : """Retrieve cwlkeys from inputs , handling defaults which can be null . When inputs are null in some and present in others , this creates unequal keys in each sample , confusing decision making about which are primary and extras ."""
if default_keys : default_keys = set ( default_keys ) else : default_keys = set ( [ "metadata__batch" , "config__algorithm__validate" , "config__algorithm__validate_regions" , "config__algorithm__validate_regions_merged" , "config__algorithm__variant_regions" , "validate__summary" , "validate__tp" , "validate__...
def load_mldataset ( filename ) : """Not particularly fast code to parse the text file and load it into three NDArray ' s and product an NDArrayIter"""
user = [ ] item = [ ] score = [ ] with open ( filename ) as f : for line in f : tks = line . strip ( ) . split ( '\t' ) if len ( tks ) != 4 : continue user . append ( int ( tks [ 0 ] ) ) item . append ( int ( tks [ 1 ] ) ) score . append ( float ( tks [ 2 ] ) ) us...
def compute_Pi_V_given_J ( self , CDR3_seq , V_usage_mask , J_usage_mask ) : """Compute Pi _ V conditioned on J . This function returns the Pi array from the model factors of the V genomic contributions , P ( V , J ) * P ( delV | V ) . This corresponds to V ( J ) _ { x _ 1 } . For clarity in parsing the algor...
# Note , the cutV _ genomic _ CDR3 _ segs INCLUDE the palindromic insertions and thus are max _ palindrome nts longer than the template . # furthermore , the genomic sequence should be pruned to start at the conserved C Pi_V_given_J = [ np . zeros ( ( 4 , len ( CDR3_seq ) * 3 ) ) for i in J_usage_mask ] # Holds the agg...
def write ( self , fileobj = sys . stdout , indent = u"" ) : """Recursively write an element and it ' s children to a file ."""
fileobj . write ( self . start_tag ( indent ) ) fileobj . write ( u"\n" )
def disable ( cls , args ) : """Disable subcommand ."""
mgr = NAppsManager ( ) if args [ 'all' ] : napps = mgr . get_enabled ( ) else : napps = args [ '<napp>' ] for napp in napps : mgr . set_napp ( * napp ) LOG . info ( 'NApp %s:' , mgr . napp_id ) cls . disable_napp ( mgr )
def matchup ( self ) : """Return the game meta information displayed in report banners including team names , final score , game date , location , and attendance . Data format is . . code : : python ' home ' : home , ' away ' : away , ' final ' : final , ' attendance ' : att , ' date ' : date , ' lo...
if self . play_by_play . matchup : return self . play_by_play . matchup elif self . rosters . matchup : return self . rosters . matchup elif self . toi . matchup : return self . toi . matchup else : self . face_off_comp . matchup
def parse_kv_args ( self , args ) : """parse key - value style arguments"""
for arg in [ "start" , "end" , "count" , "stride" ] : try : arg_raw = args . pop ( arg , None ) if arg_raw is None : continue arg_cooked = int ( arg_raw , 0 ) setattr ( self , arg , arg_cooked ) except ValueError : raise AnsibleError ( "can't parse arg %s=%r a...
def get_desc2nts_fnc ( self , hdrgo_prt = True , section_prt = None , top_n = None , use_sections = True ) : """Return grouped , sorted namedtuples in either format : flat , sections ."""
# RETURN : flat list of namedtuples nts_flat = self . get_nts_flat ( hdrgo_prt , use_sections ) if nts_flat : flds = nts_flat [ 0 ] . _fields if not use_sections : return { 'sortobj' : self , 'flat' : nts_flat , 'hdrgo_prt' : hdrgo_prt , 'flds' : flds , 'num_items' : len ( nts_flat ) , 'num_sections' : ...
def call_plugins ( self , step ) : '''For each plugins , check if a " step " method exist on it , and call it Args : step ( str ) : The method to search and call on each plugin'''
for plugin in self . plugins : try : getattr ( plugin , step ) ( ) except AttributeError : self . logger . debug ( "{} doesn't exist on plugin {}" . format ( step , plugin ) ) except TypeError : self . logger . debug ( "{} on plugin {} is not callable" . format ( step , plugin ) )
def route_tables_list_all ( ** kwargs ) : '''. . versionadded : : 2019.2.0 List all route tables within a subscription . CLI Example : . . code - block : : bash salt - call azurearm _ network . route _ tables _ list _ all'''
result = { } netconn = __utils__ [ 'azurearm.get_client' ] ( 'network' , ** kwargs ) try : tables = __utils__ [ 'azurearm.paged_object_to_list' ] ( netconn . route_tables . list_all ( ) ) for table in tables : result [ table [ 'name' ] ] = table except CloudError as exc : __utils__ [ 'azurearm.log_c...
def IsRunning ( self ) : """Returns True if there ' s a currently running iteration of this job ."""
current_urn = self . Get ( self . Schema . CURRENT_FLOW_URN ) if not current_urn : return False try : current_flow = aff4 . FACTORY . Open ( urn = current_urn , aff4_type = flow . GRRFlow , token = self . token , mode = "r" ) except aff4 . InstantiationError : # This isn ' t a flow , something went really wrong...
def search_tags ( self , tag_name ) : """Searches for tags : param tag _ name : Partial tag name to get autocomplete suggestions for"""
response = self . _req ( '/browse/tags/search' , { "tag_name" : tag_name } ) tags = list ( ) for item in response [ 'results' ] : tags . append ( item [ 'tag_name' ] ) return tags
def _get_rename_function ( mapper ) : """Returns a function that will map names / labels , dependent if mapper is a dict , Series or just a function ."""
if isinstance ( mapper , ( abc . Mapping , ABCSeries ) ) : def f ( x ) : if x in mapper : return mapper [ x ] else : return x else : f = mapper return f
def start ( self , program , start = None , stop = None , resolution = None , max_delay = None ) : """Start executing the given SignalFlow program without being attached to the output of the computation ."""
params = self . _get_params ( start = start , stop = stop , resolution = resolution , maxDelay = max_delay ) self . _transport . start ( program , params )
def ascolumn ( x , dtype = None ) : '''Convert ` ` x ` ` into a ` ` column ` ` - type ` ` numpy . ndarray ` ` .'''
x = asarray ( x , dtype ) return x if len ( x . shape ) >= 2 else x . reshape ( len ( x ) , 1 )
async def put ( self , tube , data , ttl = None , ttr = None , delay = None ) : """Enqueue a task . Returns a ` Task ` object ."""
cmd = tube . cmd ( "put" ) args = ( data , ) params = dict ( ) if ttr is not None : params [ "ttr" ] = ttr if ttl is not None : params [ "ttl" ] = ttl if delay is not None : params [ "delay" ] = delay if params : args += ( params , ) res = await self . tnt . call ( cmd , args ) return res
def parseMemory ( memAttribute ) : """Returns EC2 ' memory ' string as a float . Format should always be ' # ' GiB ( example : ' 244 GiB ' or ' 1,952 GiB ' ) . Amazon loves to put commas in their numbers , so we have to accommodate that . If the syntax ever changes , this will raise . : param memAttribute :...
mem = memAttribute . replace ( ',' , '' ) . split ( ) if mem [ 1 ] == 'GiB' : return float ( mem [ 0 ] ) else : raise RuntimeError ( 'EC2 JSON format has likely changed. Error parsing memory.' )
def describe ( self , bucket , descriptor = None ) : """https : / / github . com / frictionlessdata / tableschema - bigquery - py # storage"""
# Set descriptor if descriptor is not None : self . __descriptors [ bucket ] = descriptor # Get descriptor else : descriptor = self . __descriptors . get ( bucket ) if descriptor is None : table_name = self . __mapper . convert_bucket ( bucket ) response = self . __service . tables ( ) . get...
def _read_json_db ( self ) : """read metadata from a json string stored in a DB . : return : the parsed json dict : rtype : dict"""
try : metadata_str = self . db_io . read_metadata_from_uri ( self . layer_uri , 'json' ) except HashNotFoundError : return { } try : metadata = json . loads ( metadata_str ) return metadata except ValueError : message = tr ( 'the file DB entry for %s does not appear to be ' 'valid JSON' ) messag...
def is_sms_service_for_region ( numobj , region_dialing_from ) : """Given a valid short number , determines whether it is an SMS service ( however , nothing is implied about its validity ) . An SMS service is where the primary or only intended usage is to receive and / or send text messages ( SMSs ) . This in...
if not _region_dialing_from_matches_number ( numobj , region_dialing_from ) : return False metadata = PhoneMetadata . short_metadata_for_region ( region_dialing_from ) return ( metadata is not None and _matches_possible_number_and_national_number ( national_significant_number ( numobj ) , metadata . sms_services ) ...
def hold_absent ( name , snapshot , recursive = False ) : '''ensure hold is absent on the system name : string name of hold snapshot : string name of snapshot recursive : boolean recursively releases a hold with the given tag on the snapshots of all descendent file systems .'''
ret = { 'name' : name , 'changes' : { } , 'result' : True , 'comment' : '' } # # log configuration log . debug ( 'zfs.hold_absent::%s::config::snapshot = %s' , name , snapshot ) log . debug ( 'zfs.hold_absent::%s::config::recursive = %s' , name , recursive ) # # check we have a snapshot / tag name if not __utils__ [ 'z...
def upload_to_s3 ( self , key , filename ) : """Set the content type and gzip headers if applicable and upload the item to S3"""
extra_args = { 'ACL' : self . acl } # determine the mimetype of the file guess = mimetypes . guess_type ( filename ) content_type = guess [ 0 ] encoding = guess [ 1 ] if content_type : extra_args [ 'ContentType' ] = content_type # add the gzip headers , if necessary if ( self . gzip and content_type in self . gzip_...
def stop ( cls , name ) : """stops the timer with a given name . : param name : the name of the timer : type name : string"""
cls . timer_end [ name ] = time . time ( ) if cls . debug : print ( "Timer" , name , "stopped ..." )
def run ( self , test = False ) : '''The main entry point for a plugin .'''
self . _request = self . _parse_request ( ) log . debug ( 'Handling incoming request for %s' , self . request . path ) items = self . _dispatch ( self . request . path ) # Close any open storages which will persist them to disk if hasattr ( self , '_unsynced_storages' ) : for storage in self . _unsynced_storages . ...
def write_idx ( self , idx , buf ) : """Inserts input record at given index . Examples > > > for i in range ( 5 ) : . . . record . write _ idx ( i , ' record _ % d ' % i ) > > > record . close ( ) Parameters idx : int Index of a file . buf : Record to write ."""
key = self . key_type ( idx ) pos = self . tell ( ) self . write ( buf ) self . fidx . write ( '%s\t%d\n' % ( str ( key ) , pos ) ) self . idx [ key ] = pos self . keys . append ( key )
def stream ( identifier = None , priority = LOG_INFO , level_prefix = False ) : r"""Return a file object wrapping a stream to journal . Log messages written to this file as simple newline sepearted text strings are written to the journal . The file will be line buffered , so messages are actually sent after a...
if identifier is None : if not _sys . argv or not _sys . argv [ 0 ] or _sys . argv [ 0 ] == '-c' : identifier = 'python' else : identifier = _sys . argv [ 0 ] fd = stream_fd ( identifier , priority , level_prefix ) return _os . fdopen ( fd , 'w' , 1 )
def wait_until_element_is_visible ( self , locator , timeout = None , error = None ) : """Waits until element specified with ` locator ` is visible . Fails if ` timeout ` expires before the element is visible . See ` introduction ` for more information about ` timeout ` and its default value . ` error ` can...
def check_visibility ( ) : visible = self . _is_visible ( locator ) if visible : return elif visible is None : return error or "Element locator '%s' did not match any elements after %s" % ( locator , self . _format_timeout ( timeout ) ) else : return error or "Element '%s' was no...
def masked_pick_probability ( x , y , temp , cos_distance ) : """The pairwise sampling probabilities for the elements of x for neighbor points which share labels . : param x : a matrix : param y : a list of labels for each element of x : param temp : Temperature : cos _ distance : Boolean for using cosine...
return SNNLCrossEntropy . pick_probability ( x , temp , cos_distance ) * SNNLCrossEntropy . same_label_mask ( y , y )
def __do_init ( self , dat_dict ) : """使用字典方式来更新到存储文件中 : param dat _ dict : : type dat _ dict : : return : : rtype :"""
for k , v in dat_dict . items ( ) : if isinstance ( v , dict ) : self . cfg . init ( k , v [ 'val' ] , v [ 'proto' ] ) else : self . cfg . init ( k , v ) self . cfg . sync ( )
def rows_sum_init ( hdf5_file , path , out_lock , * numpy_args ) : """Create global variables sharing the same object as the one pointed by ' hdf5 _ file ' , ' path ' and ' out _ lock ' . Also Create a NumPy array copy of a multiprocessing . Array ctypes array specified by ' * numpy _ args ' ."""
global g_hdf5_file , g_path , g_out , g_out_lock g_hdf5_file , g_path , g_out_lock = hdf5_file , path , out_lock g_out = to_numpy_array ( * numpy_args )
def find_by_name ( collection , name , exact = True ) : """Searches collection by resource name . : param rightscale . ResourceCollection collection : The collection in which to look for : attr : ` name ` . : param str name : The name to look for in collection . : param bool exact : A RightScale ` ` index `...
params = { 'filter[]' : [ 'name==%s' % name ] } found = collection . index ( params = params ) if not exact and len ( found ) > 0 : return found for f in found : if f . soul [ 'name' ] == name : return f
def _create_component ( tag_name , allow_children = True , callbacks = [ ] ) : """Create a component for an HTML Tag Examples : > > > marquee = _ create _ component ( ' marquee ' ) > > > marquee ( ' woohoo ' ) < marquee > woohoo < / marquee >"""
def _component ( * children , ** kwargs ) : if 'children' in kwargs : children = kwargs . pop ( 'children' ) else : # Flatten children under specific circumstances # This supports the use case of div ( [ a , b , c ] ) # And allows users to skip the * operator if len ( children ) == 1 and...
def _execute_commands ( self , commands , fails = False ) : """Execute commands and get list of failed commands and count of successful commands"""
# Confirm that prepare _ statements flag is on if self . _prep_statements : prepared_commands = [ prepare_sql ( c ) for c in tqdm ( commands , total = len ( commands ) , desc = 'Prepping SQL Commands' ) ] print ( '\tCommands prepared' , len ( prepared_commands ) ) else : prepared_commands = commands desc = ...
def cost ( self ) : """Get the approximate cost of this filter . Cost is the total cost of the exclusion rules in this filter . The cost of family - specific filters is divided by 10. Returns : float : The approximate cost of the filter ."""
total = 0.0 for family , rules in self . _excludes . iteritems ( ) : cost = sum ( x . cost ( ) for x in rules ) if family : cost = cost / float ( 10 ) total += cost return total
def is_readable ( path ) : """Returns if given path is readable . : param path : Path to check access . : type path : unicode : return : Is path writable . : rtype : bool"""
if os . access ( path , os . R_OK ) : LOGGER . debug ( "> '{0}' path is readable." . format ( path ) ) return True else : LOGGER . debug ( "> '{0}' path is not readable." . format ( path ) ) return False
def get_attribute ( self , element , attribute , convert_type = True ) : """: Description : Return the given attribute of the target element . : param element : Element for browser instance to target . : type element : WebElement : param attribute : Attribute of target element to return . : type attribute :...
attribute = self . browser . execute_script ( 'return arguments[0].getAttribute("%s");' % attribute , element ) return self . __type2python ( attribute ) if convert_type else attribute
def enable_contact_host_notifications ( self , contact ) : """Enable host notifications for a contact Format of the line that triggers function call : : ENABLE _ CONTACT _ HOST _ NOTIFICATIONS ; < contact _ name > : param contact : contact to enable : type contact : alignak . objects . contact . Contact :...
if not contact . host_notifications_enabled : contact . modified_attributes |= DICT_MODATTR [ "MODATTR_NOTIFICATIONS_ENABLED" ] . value contact . host_notifications_enabled = True self . send_an_element ( contact . get_update_status_brok ( ) )
def add_property ( self , set_property , name , starting_value , tag_name = None ) : """Set properies of atributes stored in content using stored common fdel and fget and given fset . Args : set _ property - - Function that sets given property . name - - Name of the atribute this property must simulate . Used...
def del_property ( self , tag_name ) : try : del self . _content [ tag_name ] except KeyError : pass def get_property ( self , tag_name ) : try : return self . _content [ tag_name ] except KeyError : return None tag_name = ( name if tag_name is None else tag_name ) fget =...
def get_configuration ( ) : """Combine defaults with the Django configuration ."""
configuration = { "get_object_function" : None , "hcard_path" : "/hcard/users/" , "nodeinfo2_function" : None , "process_payload_function" : None , "search_path" : None , # TODO remove or default to True once AP support is more ready "activitypub" : False , } configuration . update ( settings . FEDERATION ) if not all ...
def _ProcessSources ( self , source_path_specs , storage_writer , filter_find_specs = None ) : """Processes the sources . Args : source _ path _ specs ( list [ dfvfs . PathSpec ] ) : path specifications of the sources to process . storage _ writer ( StorageWriter ) : storage writer for a session storage . ...
if self . _processing_profiler : self . _processing_profiler . StartTiming ( 'process_sources' ) self . _status = definitions . STATUS_INDICATOR_COLLECTING self . _number_of_consumed_event_tags = 0 self . _number_of_consumed_events = 0 self . _number_of_consumed_reports = 0 self . _number_of_consumed_sources = 0 se...
def precompute_optimzation_S ( laplacian_matrix , n_samples , relaxation_kwds ) : """compute Rk , A , ATAinv , neighbors and pairs for projected mode"""
relaxation_kwds . setdefault ( 'presave' , False ) relaxation_kwds . setdefault ( 'presave_name' , 'pre_comp_current.npy' ) relaxation_kwds . setdefault ( 'verbose' , False ) if relaxation_kwds [ 'verbose' ] : print ( 'Pre-computing quantities Y to S conversions' ) print ( 'Making A and Pairs' ) A , pairs = mak...
def present ( name , properties = None , filesystem_properties = None , layout = None , config = None ) : '''ensure storage pool is present on the system name : string name of storage pool properties : dict optional set of properties to set for the storage pool filesystem _ properties : dict optional se...
ret = { 'name' : name , 'changes' : { } , 'result' : None , 'comment' : '' } # config defaults default_config = { 'import' : True , 'import_dirs' : None , 'device_dir' : None , 'force' : False } if __grains__ [ 'kernel' ] == 'SunOS' : default_config [ 'device_dir' ] = '/dev/dsk' elif __grains__ [ 'kernel' ] == 'Lin...
def vqa_v2_preprocess_image ( image , height , width , mode , resize_side = 512 , distort = True , image_model_fn = "resnet_v1_152" , ) : """vqa v2 preprocess image ."""
image = tf . image . convert_image_dtype ( image , dtype = tf . float32 ) assert resize_side > 0 if resize_side : image = _aspect_preserving_resize ( image , resize_side ) if mode == tf . estimator . ModeKeys . TRAIN : image = tf . random_crop ( image , [ height , width , 3 ] ) else : # Central crop , assuming ...
def SolveClosestFacility ( self , facilities = None , incidents = None , barriers = None , polylineBarriers = None , polygonBarriers = None , attributeParameterValues = None , returnDirections = None , directionsLanguage = None , directionsStyleName = None , directionsLengthUnits = None , directionsTimeAttributeName = ...
raise NotImplementedError ( )
def set ( self , value , field = None , index = None , check = 1 ) : """Set value of this parameter from a string or other value . Field is optional parameter field ( p _ prompt , p _ minimum , etc . ) Index is optional array index ( zero - based ) . Set check = 0 to assign the value without checking to see i...
if index is not None : sumindex = self . _sumindex ( index ) try : value = self . _coerceOneValue ( value ) if check : self . value [ sumindex ] = self . checkOneValue ( value ) else : self . value [ sumindex ] = value return except IndexError : # shou...
def convert_broadcast_to ( node , ** kwargs ) : """Map MXNet ' s broadcast _ to operator attributes to onnx ' s Expand operator and return the created node ."""
name , input_nodes , attrs = get_inputs ( node , kwargs ) shape_list = convert_string_to_list ( attrs [ "shape" ] ) initializer = kwargs [ "initializer" ] output_shape_np = np . array ( shape_list , dtype = 'int64' ) data_type = onnx . mapping . NP_TYPE_TO_TENSOR_TYPE [ output_shape_np . dtype ] dims = np . shape ( out...
def Debugger_setBlackboxPatterns ( self , patterns ) : """Function path : Debugger . setBlackboxPatterns Domain : Debugger Method name : setBlackboxPatterns WARNING : This function is marked ' Experimental ' ! Parameters : Required arguments : ' patterns ' ( type : array ) - > Array of regexps that will...
assert isinstance ( patterns , ( list , tuple ) ) , "Argument 'patterns' must be of type '['list', 'tuple']'. Received type: '%s'" % type ( patterns ) subdom_funcs = self . synchronous_command ( 'Debugger.setBlackboxPatterns' , patterns = patterns ) return subdom_funcs
def unpack2D ( _x ) : """Helper function for splitting 2D data into x and y component to make equations simpler"""
_x = np . atleast_2d ( _x ) x = _x [ : , 0 ] y = _x [ : , 1 ] return x , y
def annotate ( self , fname , tables , feature_strand = False , in_memory = False , header = None , out = sys . stdout , parallel = False ) : """annotate a file with a number of tables Parameters fname : str or file file name or file - handle tables : list list of tables with which to annotate ` fname ` ...
from . annotate import annotate return annotate ( self , fname , tables , feature_strand , in_memory , header = header , out = out , parallel = parallel )
def init_scheduler ( db_uri ) : """Initialise and configure the scheduler ."""
global scheduler scheduler = apscheduler . Scheduler ( ) scheduler . misfire_grace_time = 3600 scheduler . add_jobstore ( sqlalchemy_store . SQLAlchemyJobStore ( url = db_uri ) , 'default' ) scheduler . add_listener ( job_listener , events . EVENT_JOB_EXECUTED | events . EVENT_JOB_MISSED | events . EVENT_JOB_ERROR ) re...
def setEditorData ( self , editor , value ) : """Sets the value for the given editor to the inputed value . : param editor | < QWidget > value | < variant >"""
# set the data for a multitagedit if ( isinstance ( editor , XMultiTagEdit ) ) : if ( not isinstance ( value , list ) ) : value = [ nativestring ( value ) ] else : value = map ( nativestring , value ) editor . setTags ( value ) editor . setCurrentItem ( editor . createItem ( ) ) # set th...
def image ( request , obj_id ) : """Handles a request based on method and calls the appropriate function"""
obj = Image . objects . get ( pk = obj_id ) if request . method == 'POST' : return post ( request , obj ) elif request . method == 'PUT' : getPutData ( request ) return put ( request , obj ) elif request . method == 'DELETE' : getPutData ( request ) return delete ( request , obj )
def claim_messages ( self , queue , ttl , grace , count = None ) : """Claims up to ` count ` unclaimed messages from the specified queue . If count is not specified , the default is to claim 10 messages . The ` ttl ` parameter specifies how long the server should wait before releasing the claim . The ttl valu...
return queue . claim_messages ( ttl , grace , count = count )
def StopTaskStorage ( self , abort = False ) : """Removes the temporary path for the task storage . The results of tasks will be lost on abort . Args : abort ( bool ) : True to indicate the stop is issued on abort . Raises : IOError : if the storage type is not supported . OSError : if the storage type ...
if self . _storage_type != definitions . STORAGE_TYPE_SESSION : raise IOError ( 'Unsupported storage type.' ) if os . path . isdir ( self . _merge_task_storage_path ) : if abort : shutil . rmtree ( self . _merge_task_storage_path ) else : os . rmdir ( self . _merge_task_storage_path ) if os ...
def prepopulate ( self , queryset ) : """Perpopulate a descendants query ' s children efficiently . Call like : blah . prepopulate ( blah . get _ descendants ( ) . select _ related ( stuff ) )"""
objs = list ( queryset ) hashobjs = dict ( [ ( x . pk , x ) for x in objs ] + [ ( self . pk , self ) ] ) for descendant in hashobjs . values ( ) : descendant . _cached_children = [ ] for descendant in objs : assert descendant . _closure_parent_pk in hashobjs parent = hashobjs [ descendant . _closure_parent_...
def get_path_components ( path ) : """Extract the module name and class name out of the fully qualified path to the class . : param str path : The full path to the class . : return : The module path and the class name . : rtype : str , str : raise : ` ` VerifyingDoubleImportError ` ` if the path is to a top...
path_segments = path . split ( '.' ) module_path = '.' . join ( path_segments [ : - 1 ] ) if module_path == '' : raise VerifyingDoubleImportError ( 'Invalid import path: {}.' . format ( path ) ) class_name = path_segments [ - 1 ] return module_path , class_name
def leaf_sections ( h ) : """Returns a list of all sections that have no children ."""
leaves = [ ] for section in h . allsec ( ) : sref = h . SectionRef ( sec = section ) # nchild returns a float . . . cast to bool if sref . nchild ( ) < 0.9 : leaves . append ( section ) return leaves
def translate_path ( self , path ) : """Translate a / - separated PATH to the local filename syntax . Components that mean special things to the local file system ( e . g . drive or directory names ) are ignored . ( XXX They should probably be diagnosed . )"""
# abandon query parameters path = path . split ( '?' , 1 ) [ 0 ] path = path . split ( '#' , 1 ) [ 0 ] # Don ' t forget explicit trailing slash when normalizing . Issue17324 trailing_slash = path . rstrip ( ) . endswith ( '/' ) path = posixpath . normpath ( urllib . parse . unquote ( path ) ) words = path . split ( '/'...
def get_all_attribute_value ( self , tag_name , attribute , format_value = True , ** attribute_filter ) : """Yields all the attribute values in xml files which match with the tag name and the specific attribute : param str tag _ name : specify the tag name : param str attribute : specify the attribute : param...
tags = self . find_tags ( tag_name , ** attribute_filter ) for tag in tags : value = tag . get ( attribute ) or tag . get ( self . _ns ( attribute ) ) if value is not None : if format_value : yield self . _format_value ( value ) else : yield value
def keyboard ( table , day = None ) : """Handler for showing the keyboard statistics page ."""
cols , group = "realkey AS key, COUNT(*) AS count" , "realkey" where = ( ( "day" , day ) , ) if day else ( ) counts_display = counts = db . fetch ( table , cols , where , group , "count DESC" ) if "combos" == table : counts_display = db . fetch ( table , "key, COUNT(*) AS count" , where , "key" , "count DESC" ) eve...
def randompaths ( request , num_paths = 1 , size = 250 , mu = 0 , sigma = 1 ) : '''Lists of random walks .'''
r = [ ] for p in range ( num_paths ) : v = 0 path = [ v ] r . append ( path ) for t in range ( size ) : v += normalvariate ( mu , sigma ) path . append ( v ) return r
def deserialize_decimal ( attr ) : """Deserialize string into Decimal object . : param str attr : response string to be deserialized . : rtype : Decimal : raises : DeserializationError if string format invalid ."""
if isinstance ( attr , ET . Element ) : attr = attr . text try : return decimal . Decimal ( attr ) except decimal . DecimalException as err : msg = "Invalid decimal {}" . format ( attr ) raise_with_traceback ( DeserializationError , msg , err )
def snapshot_registry ( self ) : '''Give the dictionary of recorders detached from the existing instances . It is safe to store those references for future use . Used by feattool .'''
unserializer = banana . Unserializer ( externalizer = self ) serializer = banana . Serializer ( externalizer = self ) return unserializer . convert ( serializer . convert ( self . registry ) )
def _validate_claim_request ( claims , ignore_errors = False ) : """Validates a claim request section ( ` userinfo ` or ` id _ token ` ) according to section 5.5 of the OpenID Connect specification : - http : / / openid . net / specs / openid - connect - core - 1_0 . html # ClaimsParameter Returns a copy of t...
results = { } claims = claims if claims else { } for name , value in claims . iteritems ( ) : if value is None : results [ name ] = None elif isinstance ( value , dict ) : results [ name ] = _validate_claim_values ( name , value , ignore_errors ) else : if not ignore_errors : ...
def repr_text ( text , indent ) : """Return a debug representation of a multi - line text ( e . g . the result of another repr . . . ( ) function ) ."""
if text is None : return 'None' ret = _indent ( text , amount = indent ) return ret . lstrip ( ' ' )
def _vertex_different_colors_qubo ( G , x_vars ) : """For each vertex , it should not have the same color as any of its neighbors . Generates the QUBO to enforce this constraint . Notes Does not enforce each node having a single color . Ground energy is 0 , infeasible gap is 1."""
Q = { } for u , v in G . edges : if u not in x_vars or v not in x_vars : continue for color in x_vars [ u ] : if color in x_vars [ v ] : Q [ ( x_vars [ u ] [ color ] , x_vars [ v ] [ color ] ) ] = 1. return Q
def checkout_default_branch ( self ) : """git checkout default branch"""
set_state ( WORKFLOW_STATES . CHECKING_OUT_DEFAULT_BRANCH ) cmd = "git" , "checkout" , self . config [ "default_branch" ] self . run_cmd ( cmd ) set_state ( WORKFLOW_STATES . CHECKED_OUT_DEFAULT_BRANCH )
def get_ordered_entries ( self , queryset = False ) : """Custom ordering . First we get the average views and rating for the categories ' s entries . Second we created a rank by multiplying both . Last , we sort categories by this rank from top to bottom . Example : - Cat _ 1 - Entry _ 1 ( 500 Views , Rat...
if queryset : self . queryset = queryset else : self . queryset = EntryCategory . objects . all ( ) if self . queryset : for category in self . queryset : entries = category . get_entries ( ) if entries : amount_list = [ e . amount_of_views for e in entries ] rating_l...
def get_referenced_object ( self ) : """: rtype : core . BunqModel : raise : BunqException"""
if self . _Payment is not None : return self . _Payment if self . _PaymentBatch is not None : return self . _PaymentBatch raise exception . BunqException ( self . _ERROR_NULL_FIELDS )
def transform ( im , mean , std ) : """transform into mxnet tensor , subtract pixel size and transform to correct format : param im : [ height , width , channel ] in BGR : param mean : [ RGB pixel mean ] : param std : [ RGB pixel std var ] : return : [ batch , channel , height , width ]"""
im_tensor = np . zeros ( ( 3 , im . shape [ 0 ] , im . shape [ 1 ] ) ) for i in range ( 3 ) : im_tensor [ i , : , : ] = ( im [ : , : , 2 - i ] - mean [ i ] ) / std [ i ] return im_tensor
def update ( self , infos ) : """Process received infos ."""
for info in infos : if isinstance ( info , LearningGene ) : self . replicate ( info )
def tree ( bary , n , standardization , symbolic = False ) : """Evaluates the entire tree of orthogonal triangle polynomials . The return value is a list of arrays , where ` out [ k ] ` hosts the ` 2 * k + 1 ` values of the ` k ` th level of the tree (0 , 0) (0 , 1 ) ( 1 , 1) (0 , 2 ) ( 1 , 2 ) ( 2 , 2) ...
S = numpy . vectorize ( sympy . S ) if symbolic else lambda x : x sqrt = numpy . vectorize ( sympy . sqrt ) if symbolic else numpy . sqrt if standardization == "1" : p0 = 1 def alpha ( n ) : r = numpy . arange ( n ) return S ( n * ( 2 * n + 1 ) ) / ( ( n - r ) * ( n + r + 1 ) ) def beta ( n ...
def start_site ( name ) : '''Start a Web Site in IIS . . . versionadded : : 2017.7.0 Args : name ( str ) : The name of the website to start . Returns : bool : True if successful , otherwise False CLI Example : . . code - block : : bash salt ' * ' win _ iis . start _ site name = ' My Test Site ' '''
ps_cmd = [ 'Start-WebSite' , r"'{0}'" . format ( name ) ] cmd_ret = _srvmgr ( ps_cmd ) return cmd_ret [ 'retcode' ] == 0
def url_report ( self , scan_url , apikey ) : """Send URLS for list of past malicous associations"""
url = self . base_url + "url/report" params = { "apikey" : apikey , 'resource' : scan_url } rate_limit_clear = self . rate_limit ( ) if rate_limit_clear : response = requests . post ( url , params = params , headers = self . headers ) if response . status_code == self . HTTP_OK : json_response = respons...
def acit ( rest ) : "Look up an acronym"
word = rest . strip ( ) res = util . lookup_acronym ( word ) if res is None : return "Arg! I couldn't expand that..." else : return ' | ' . join ( res )
def permissions_for ( self , user ) : """Handles permission resolution for a : class : ` User ` . This function is there for compatibility with other channel types . Actual direct messages do not really have the concept of permissions . This returns all the Text related permissions set to true except : - se...
base = Permissions . text ( ) base . send_tts_messages = False base . manage_messages = False base . mention_everyone = True if user . id == self . owner . id : base . kick_members = True return base
def user_avatar_update ( self , userid , payload ) : '''updated avatar by userid'''
response , status_code = self . __pod__ . User . post_v1_admin_user_uid_avatar_update ( sessionToken = self . __session , uid = userid , payload = payload ) . result ( ) self . logger . debug ( '%s: %s' % ( status_code , response ) ) return status_code , response
def get_steam_id ( vanityurl , ** kwargs ) : """Get a players steam id from their steam name / vanity url"""
params = { "vanityurl" : vanityurl } return make_request ( "ResolveVanityURL" , params , version = "v0001" , base = "http://api.steampowered.com/ISteamUser/" , ** kwargs )
def gps_offset ( lat , lon , east , north ) : '''return new lat / lon after moving east / north by the given number of meters'''
bearing = math . degrees ( math . atan2 ( east , north ) ) distance = math . sqrt ( east ** 2 + north ** 2 ) return gps_newpos ( lat , lon , bearing , distance )
def Upload ( cls , filename ) : """文件上传 , 非原生input @ todo : some upload . exe not prepared @ param file : 文件名 ( 文件必须存在在工程resource目录下 ) , upload . exe工具放在工程tools目录下"""
raise Exception ( "to do" ) TOOLS_PATH = "" RESOURCE_PATH = "" tool_4path = os . path . join ( TOOLS_PATH , "upload.exe" ) file_4path = os . path . join ( RESOURCE_PATH , filename ) # file _ 4path . decode ( ' utf - 8 ' ) . encode ( ' gbk ' ) if os . path . isfile ( file_4path ) : cls . Click ( ) os . system ( ...
def isExe ( self ) : """Determines if the current L { PE } instance is an Executable file . @ rtype : bool @ return : C { True } if the current L { PE } instance is an Executable file . Otherwise , returns C { False } ."""
if not self . isDll ( ) and not self . isDriver ( ) and ( consts . IMAGE_FILE_EXECUTABLE_IMAGE & self . ntHeaders . fileHeader . characteristics . value ) == consts . IMAGE_FILE_EXECUTABLE_IMAGE : return True return False
def cells_from_defaults ( clz , jsonobj ) : """Creates a referent instance of type ` json . kind ` and initializes it to default values ."""
# convert strings to dicts if isinstance ( jsonobj , ( str , unicode ) ) : jsonobj = json . loads ( jsonobj ) assert 'cells' in jsonobj , "No cells in object" domain = TaxonomyCell . get_domain ( ) cells = [ ] for num , cell_dna in enumerate ( jsonobj [ 'cells' ] ) : assert 'kind' in cell_dna , "No type definit...
def resume ( self ) : """Resumes the response stream ."""
with self . _wake : self . _paused = False self . _wake . notifyAll ( )
def competitions_data_list_files ( self , id , ** kwargs ) : # noqa : E501 """List competition data files # noqa : E501 This method makes a synchronous HTTP request by default . To make an asynchronous HTTP request , please pass async _ req = True > > > thread = api . competitions _ data _ list _ files ( id ,...
kwargs [ '_return_http_data_only' ] = True if kwargs . get ( 'async_req' ) : return self . competitions_data_list_files_with_http_info ( id , ** kwargs ) # noqa : E501 else : ( data ) = self . competitions_data_list_files_with_http_info ( id , ** kwargs ) # noqa : E501 return data
def get_success_url ( self ) : """Returns the success URL . This is either the given ` next ` URL parameter or the content object ' s ` get _ absolute _ url ` method ' s return value ."""
if self . next : return self . next if self . object and self . object . content_object : return self . object . content_object . get_absolute_url ( ) raise Exception ( 'No content object given. Please provide ``next`` in your POST' ' data' )
def locate_range ( self , chrom , start = None , stop = None ) : """Locate slice of index containing all entries within the range ` key ` : ` start ` - ` stop ` * * inclusive * * . Parameters chrom : object Chromosome or contig . start : int , optional Position start value . stop : int , optional Po...
slice_chrom = self . locate_key ( chrom ) if start is None and stop is None : return slice_chrom else : pos_chrom = SortedIndex ( self . pos [ slice_chrom ] ) try : slice_within_chrom = pos_chrom . locate_range ( start , stop ) except KeyError : raise KeyError ( chrom , start , stop ) ...
def path_options ( line = False , radius = False , ** kwargs ) : """Contains options and constants shared between vector overlays ( Polygon , Polyline , Circle , CircleMarker , and Rectangle ) . Parameters stroke : Bool , True Whether to draw stroke along the path . Set it to false to disable borders on p...
extra_options = { } if line : extra_options = { 'smoothFactor' : kwargs . pop ( 'smooth_factor' , 1.0 ) , 'noClip' : kwargs . pop ( 'no_clip' , False ) , } if radius : extra_options . update ( { 'radius' : radius } ) color = kwargs . pop ( 'color' , '#3388ff' ) fill_color = kwargs . pop ( 'fill_color' , False )...
def __PrintAdditionalImports ( self , imports ) : """Print additional imports needed for protorpc ."""
google_imports = [ x for x in imports if 'google' in x ] other_imports = [ x for x in imports if 'google' not in x ] if other_imports : for import_ in sorted ( other_imports ) : self . __printer ( import_ ) self . __printer ( ) # Note : If we ever were going to add imports from this package , we ' d # n...
def get_agents_by_ids ( self , agent_ids ) : """Gets an ` ` AgentList ` ` corresponding to the given ` ` IdList ` ` . In plenary mode , the returned list contains all of the agents specified in the ` ` Id ` ` list , in the order of the list , including duplicates , or an error results if an ` ` Id ` ` in the ...
# Implemented from template for # osid . resource . ResourceLookupSession . get _ resources _ by _ ids # NOTE : This implementation currently ignores plenary view collection = JSONClientValidated ( 'authentication' , collection = 'Agent' , runtime = self . _runtime ) object_id_list = [ ] for i in agent_ids : object...
def _apply_loffset ( self , result ) : """If loffset is set , offset the result index . This is NOT an idempotent routine , it will be applied exactly once to the result . Parameters result : Series or DataFrame the result of resample"""
needs_offset = ( isinstance ( self . loffset , ( DateOffset , timedelta , np . timedelta64 ) ) and isinstance ( result . index , DatetimeIndex ) and len ( result . index ) > 0 ) if needs_offset : result . index = result . index + self . loffset self . loffset = None return result
def _read_isotopedatabase ( self , ffname = 'isotopedatabase.txt' ) : '''This private method reads the isotopedatabase . txt file in sldir run dictory and returns z , a , elements , the cutoff mass for each species that delineate beta + and beta - decay and the logical in the last column . Also provides charg...
name = self . sldir + ffname z_db , a_db , el_db , stable_a_db , logic_db = np . loadtxt ( name , unpack = True , dtype = 'str' ) z_db = np . array ( z_db , dtype = 'int' ) a_db = np . array ( a_db , dtype = 'int' ) stable_a_db = np . array ( stable_a_db , dtype = 'int' ) # charge number for element name from dictionar...
def compare_ordereddict ( self , X , Y ) : """Compares two instances of an OrderedDict ."""
# check if OrderedDict instances have the same keys and values child = self . compare_dicts ( X , Y ) if isinstance ( child , DeepExplanation ) : return child # check if the order of the keys is the same for i , j in zip ( X . items ( ) , Y . items ( ) ) : if i [ 0 ] != j [ 0 ] : c = self . get_context ...
def _get_stddevs ( self , C , stddev_types , num_sites ) : """Return total standard deviation ."""
# standard deviation is converted from log10 to ln std_total = np . log ( 10 ** C [ 'sigma' ] ) stddevs = [ ] for _ in stddev_types : stddevs . append ( np . zeros ( num_sites ) + std_total ) return stddevs
def get_jid ( jid ) : '''Return the information returned when the specified job id was executed'''
with _get_serv ( ret = None , commit = True ) as cur : sql = '''SELECT id, full_ret FROM salt_returns WHERE jid = %s''' cur . execute ( sql , ( jid , ) ) data = cur . fetchall ( ) ret = { } if data : for minion , full_ret in data : ret [ minion ] = full_ret re...
def supervisor_command ( parser_args ) : """Supervisor - related commands"""
import logging from synergy . supervisor . supervisor_configurator import SupervisorConfigurator , set_box_id if parser_args . boxid : set_box_id ( logging , parser_args . argument ) return sc = SupervisorConfigurator ( ) if parser_args . reset : sc . reset_db ( ) elif parser_args . start : sc . mark_fo...
def split_into ( iterable , sizes ) : """Yield a list of sequential items from * iterable * of length ' n ' for each integer ' n ' in * sizes * . > > > list ( split _ into ( [ 1,2,3,4,5,6 ] , [ 1,2,3 ] ) ) [ [ 1 ] , [ 2 , 3 ] , [ 4 , 5 , 6 ] ] If the sum of * sizes * is smaller than the length of * iterable...
# convert the iterable argument into an iterator so its contents can # be consumed by islice in case it is a generator it = iter ( iterable ) for size in sizes : if size is None : yield list ( it ) return else : yield list ( islice ( it , size ) )
def logistic ( x , a = 0. , b = 1. ) : r"""Computes the logistic function with range : math : ` \ in ( a , b ) ` . This is given by : . . math : : \ mathrm { logistic } ( x ; a , b ) = \ frac { a + b e ^ x } { 1 + e ^ x } . Note that this is also the inverse of the logit function with domain : math : ` ( ...
expx = numpy . exp ( x ) return ( a + b * expx ) / ( 1. + expx )
def connection_key ( self ) : """Return an index key used to cache the sampler connection ."""
return "{host}:{namespace}:{username}" . format ( host = self . host , namespace = self . namespace , username = self . username )
def _parse_kraken_output ( out_dir , db , data ) : """Parse kraken stat info comming from stderr , generating report with kraken - report"""
in_file = os . path . join ( out_dir , "kraken_out" ) stat_file = os . path . join ( out_dir , "kraken_stats" ) out_file = os . path . join ( out_dir , "kraken_summary" ) kraken_cmd = config_utils . get_program ( "kraken-report" , data [ "config" ] ) classify = unclassify = None with open ( stat_file , 'r' ) as handle ...