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def results ( data ) : """Results"""
cdata = [ ] for r in data : cdata . append ( r . data ) return cdata
def setup_lilypond_windows ( path = "default" ) : '''Optional helper method which does the environment setup for lilypond in windows . If you ' ve ran this method , you do not need and should not provide a lyscript when you instantiate this class . As this method is static , you can run this method before you set...
default = "C:/Program Files (x86)/LilyPond/usr/bin" path_variable = os . environ [ 'PATH' ] . split ( ";" ) if path == "default" : path_variable . append ( default ) else : path_variable . append ( path ) os . environ [ 'PATH' ] = ";" . join ( path_variable )
def send_dir ( self , local_path , remote_path , user = 'root' ) : """Upload a directory on the remote host ."""
self . enable_user ( user ) return self . ssh_pool . send_dir ( user , local_path , remote_path )
def get_last_traded_dt ( self , asset , dt ) : """Get the latest day on or before ` ` dt ` ` in which ` ` asset ` ` traded . If there are no trades on or before ` ` dt ` ` , returns ` ` pd . NaT ` ` . Parameters asset : zipline . asset . Asset The asset for which to get the last traded day . dt : pd . Tim...
country_code = self . _country_code_for_assets ( [ asset . sid ] ) return self . _readers [ country_code ] . get_last_traded_dt ( asset , dt )
def create_badge ( self , update = False ) : """Saves the badge in the database ( or updates it if ` ` update ` ` is ` ` True ` ` ) . Returns a tuple : ` ` badge ` ` ( the badge object ) and ` ` created ` ` ( ` ` True ` ` , if badge has been created ) ."""
badge , created = self . badge , False if badge : logger . debug ( '✓ Badge %s: already created' , badge . slug ) if update : to_update = { } for field in ( 'name' , 'slug' , 'description' , 'image' ) : attr = getattr ( self , field ) badge_attr = getattr ( badge , field ...
def set_data_length ( self , length ) : # type : ( int ) - > None '''A method to set the length of data for this El Torito Entry . Parameters : length - The new length for the El Torito Entry . Returns : Nothing .'''
if not self . _initialized : raise pycdlibexception . PyCdlibInternalError ( 'El Torito Entry not initialized' ) self . sector_count = utils . ceiling_div ( length , 512 )
def transform ( self , ref , strict = False ) : """Transform a URI reference relative to ` self ` into a : class : ` SplitResult ` representing its target URI ."""
scheme , authority , path , query , fragment = self . RE . match ( ref ) . groups ( ) # RFC 3986 5.2.2 . Transform References if scheme is not None and ( strict or scheme != self . scheme ) : path = self . __remove_dot_segments ( path ) elif authority is not None : scheme = self . scheme path = self . __rem...
def filter_unique_peptides ( peptides , score , ns ) : """Filters unique peptides from multiple Percolator output XML files . Takes a dir with a set of XMLs , a score to filter on and a namespace . Outputs an ElementTree ."""
scores = { 'q' : 'q_value' , 'pep' : 'pep' , 'p' : 'p_value' , 'svm' : 'svm_score' } highest = { } for el in peptides : featscore = float ( el . xpath ( 'xmlns:%s' % scores [ score ] , namespaces = ns ) [ 0 ] . text ) seq = reader . get_peptide_seq ( el , ns ) if seq not in highest : highest [ seq ]...
def _makeTags ( tagStr , xml ) : """Internal helper to construct opening and closing tag expressions , given a tag name"""
if isinstance ( tagStr , basestring ) : resname = tagStr tagStr = Keyword ( tagStr , caseless = not xml ) else : resname = tagStr . name tagAttrName = Word ( alphas , alphanums + "_-:" ) if ( xml ) : tagAttrValue = dblQuotedString . copy ( ) . setParseAction ( removeQuotes ) openTag = Suppress ( "<"...
def elem_add ( self , idx = None , name = None , ** kwargs ) : """Add an element of this model : param idx : element idx : param name : element name : param kwargs : keyword arguments of the parameters : return : allocated idx"""
idx = self . system . devman . register_element ( dev_name = self . _name , idx = idx ) self . system . __dict__ [ self . _group ] . register_element ( self . _name , idx ) self . uid [ idx ] = self . n self . idx . append ( idx ) self . mdl_to . append ( list ( ) ) self . mdl_from . append ( list ( ) ) # self . n + = ...
def kak_decomposition ( mat : np . ndarray , rtol : float = 1e-5 , atol : float = 1e-8 ) -> KakDecomposition : """Decomposes a 2 - qubit unitary into 1 - qubit ops and XX / YY / ZZ interactions . Args : mat : The 4x4 unitary matrix to decompose . rtol : Per - matrix - entry relative tolerance on equality . ...
magic = np . array ( [ [ 1 , 0 , 0 , 1j ] , [ 0 , 1j , 1 , 0 ] , [ 0 , 1j , - 1 , 0 ] , [ 1 , 0 , 0 , - 1j ] ] ) * np . sqrt ( 0.5 ) gamma = np . array ( [ [ 1 , 1 , 1 , 1 ] , [ 1 , 1 , - 1 , - 1 ] , [ - 1 , 1 , - 1 , 1 ] , [ 1 , - 1 , - 1 , 1 ] ] ) * 0.25 # Diagonalize in magic basis . left , d , right = diagonalize ....
def load_reconstruction ( folder , slice_start = 0 , slice_end = - 1 ) : """Load a volume from folder , also returns the corresponding partition . Parameters folder : str Path to the folder where the DICOM files are stored . slice _ start : int Index of the first slice to use . Used for subsampling . sl...
file_names = sorted ( [ f for f in os . listdir ( folder ) if f . endswith ( ".IMA" ) ] ) if len ( file_names ) == 0 : raise ValueError ( 'No DICOM files found in {}' . format ( folder ) ) volumes = [ ] datasets = [ ] file_names = file_names [ slice_start : slice_end ] for file_name in tqdm . tqdm ( file_names , 'l...
def range_pad ( lower , upper , padding = None , log = False ) : """Pads the range by a fraction of the interval"""
if padding is not None and not isinstance ( padding , tuple ) : padding = ( padding , padding ) if is_number ( lower ) and is_number ( upper ) and padding is not None : if not isinstance ( lower , datetime_types ) and log and lower > 0 and upper > 0 : log_min = np . log ( lower ) / np . log ( 10 ) ...
def _ParseRedirected ( self , parser_mediator , msiecf_item , recovered = False ) : """Extract data from a MSIE Cache Files ( MSIECF ) redirected item . Every item is stored as an event object , one for each timestamp . Args : parser _ mediator ( ParserMediator ) : mediates interactions between parsers and ...
date_time = dfdatetime_semantic_time . SemanticTime ( 'Not set' ) event_data = MSIECFRedirectedEventData ( ) event_data . offset = msiecf_item . offset event_data . recovered = recovered event_data . url = msiecf_item . location event = time_events . DateTimeValuesEvent ( date_time , definitions . TIME_DESCRIPTION_NOT_...
def find_classes ( self , name = ".*" , no_external = False ) : """Find classes by name , using regular expression This method will return all ClassAnalysis Object that match the name of the class . : param name : regular expression for class name ( default " . * " ) : param no _ external : Remove external ...
for cname , c in self . classes . items ( ) : if no_external and isinstance ( c . get_vm_class ( ) , ExternalClass ) : continue if re . match ( name , cname ) : yield c
def size_bundle_from_tubecount ( N , Do , pitch , Ntp = 1 , angle = 30 , Method = None , AvailableMethods = False ) : r'''Calculates the outer diameter of a tube bundle containing a specified number of tubes . The tube count is effected by the pitch , number of tube passes , and angle . The result is an exact...
def list_methods ( ) : methods = [ 'Phadkeb' ] if Ntp == 1 : methods . append ( 'HEDH' ) if Ntp in [ 1 , 2 , 4 , 8 ] : methods . append ( 'VDI' ) if Ntp in [ 1 , 2 , 4 , 6 ] : # Also restricted to 1.25 pitch ratio but not hard coded methods . append ( 'Perry' ) return methods...
def _setup_events ( plugin ) : """Handles setup or teardown of event hook registration for the provided plugin . ` plugin ` ` ` Plugin ` ` class ."""
events = plugin . events if events and isinstance ( events , ( list , tuple ) ) : for event in [ e for e in events if e in _EVENT_VALS ] : register ( 'event' , event , plugin )
def track_pa11y_stats ( pa11y_results , spider ) : """Keep track of the number of pa11y errors , warnings , and notices that we ' ve seen so far , using the Scrapy stats collector : http : / / doc . scrapy . org / en / 1.1 / topics / stats . html"""
num_err , num_warn , num_notice = pa11y_counts ( pa11y_results ) stats = spider . crawler . stats stats . inc_value ( "pa11y/error" , count = num_err , spider = spider ) stats . inc_value ( "pa11y/warning" , count = num_warn , spider = spider ) stats . inc_value ( "pa11y/notice" , count = num_notice , spider = spider )
def lock ( self , lock_name , timeout = 900 ) : """Attempt to use lock and unlock , which will work if the Cache is Redis , but fall back to a memcached - compliant add / delete approach . If the Jobtastic Cache isn ' t Redis or Memcache , or another product with a compatible lock or add / delete API , then a...
# Try Redis first try : try : lock = self . cache . lock except AttributeError : try : # Possibly using old Django - Redis lock = self . cache . client . lock except AttributeError : # Possibly using Werkzeug + Redis lock = self . cache . _client . lock have_l...
def _get ( self , obj ) : '''Internal implementation of instance attribute access for the ` ` BasicPropertyDescriptor ` ` getter . If the value has not been explicitly set by a user , return that value . Otherwise , return the default . Args : obj ( HasProps ) : the instance to get a value of this propert...
if not hasattr ( obj , '_property_values' ) : raise RuntimeError ( "Cannot get a property value '%s' from a %s instance before HasProps.__init__" % ( self . name , obj . __class__ . __name__ ) ) if self . name not in obj . _property_values : return self . _get_default ( obj ) else : return obj . _property_v...
def _increment_index ( self , di = 1 ) : """Move the most recently displayed annotation to the next item in the series , if possible . If ` ` di ` ` is - 1 , move it to the previous item ."""
if self . _last_event is None : return if not hasattr ( self . _last_event , 'ind' ) : return event = self . _last_event xy = pick_info . get_xy ( event . artist ) if xy is not None : x , y = xy i = ( event . ind [ 0 ] + di ) % len ( x ) event . ind = [ i ] event . mouseevent . xdata = x [ i ] ...
def subtract ( dict_a , dict_b , strict = False ) : """a stricter form of subtract _ by _ key ( ) , this version will only remove an entry from dict _ a if the key is in dict _ b * and * the value at that key matches"""
if not strict : return subtract_by_key ( dict_a , dict_b ) difference_dict = { } for key in dict_a : if key not in dict_b or dict_b [ key ] != dict_a [ key ] : difference_dict [ key ] = dict_a [ key ] return difference_dict
def createValidationDataSampler ( dataset , ratio ) : """Create ` torch . utils . data . Sampler ` s used to split the dataset into 2 ramdom sampled subsets . The first should used for training and the second for validation . : param dataset : A valid torch . utils . data . Dataset ( i . e . torchvision . dat...
indices = np . random . permutation ( len ( dataset ) ) training_count = int ( len ( indices ) * ratio ) train = torch . utils . data . SubsetRandomSampler ( indices = indices [ : training_count ] ) validate = torch . utils . data . SubsetRandomSampler ( indices = indices [ training_count : ] ) return ( train , validat...
def inspect ( lines ) : """Inspect SDFile list of string Returns : tuple : ( data label list , number of records )"""
labels = set ( ) count = 0 exp = re . compile ( r">.*?<([\w ]+)>" ) # Space should be accepted valid = False for line in lines : if line . startswith ( "M END\n" ) : valid = True elif line . startswith ( "$$$$" ) : count += 1 valid = False else : result = exp . match ( line ...
def standardize ( Y , in_place = False ) : """standardize Y in a way that is robust to missing values in _ place : create a copy or carry out inplace opreations ?"""
if in_place : YY = Y else : YY = Y . copy ( ) for i in range ( YY . shape [ 1 ] ) : Iok = ~ SP . isnan ( YY [ : , i ] ) Ym = YY [ Iok , i ] . mean ( ) YY [ : , i ] -= Ym Ys = YY [ Iok , i ] . std ( ) YY [ : , i ] /= Ys return YY
def _get_maxentscan ( data ) : """The plugin executes the logic from one of the scripts depending on which splice region the variant overlaps : score5 . pl : last 3 bases of exon - - > first 6 bases of intron score3 . pl : last 20 bases of intron - - > first 3 bases of exon The plugin reports the reference ...
maxentscan_dir = os . path . dirname ( os . path . realpath ( config_utils . get_program ( "maxentscan_score3.pl" , data [ "config" ] ) ) ) if maxentscan_dir and os . path . exists ( maxentscan_dir ) : return [ "--plugin" , "MaxEntScan,%s" % ( maxentscan_dir ) ] else : return [ ]
def revoke_user ( self , user_id ) : """Revoke a user from the tenant This will remove pending or approved roles but will not not delete the user from Keystone ."""
uri = 'openstack/users/%s' % user_id try : resp = self . delete ( uri ) except AttributeError : # note : this breaks . stacktask returns a string , not json . return self . expected_success ( 200 , resp . status ) return rest_client . ResponseBody ( resp , None )
def copy_analysis_files ( cls , orig_dir , dest_dir , copyfiles ) : """Copy a list of files from orig _ dir to dest _ dir"""
for pattern in copyfiles : glob_path = os . path . join ( orig_dir , pattern ) files = glob . glob ( glob_path ) for ff in files : f = os . path . basename ( ff ) orig_path = os . path . join ( orig_dir , f ) dest_path = os . path . join ( dest_dir , f ) try : cop...
def get_simulant_creator ( self ) -> Callable [ [ int , Union [ Mapping [ str , Any ] , None ] ] , pd . Index ] : """Grabs a reference to the function that creates new simulants ( adds rows to the state table ) . Returns Callable The simulant creator function . The creator function takes the number of simulan...
return self . _population_manager . get_simulant_creator ( )
def set_file_params ( self , reopen_on_reload = None , trucate_on_statup = None , max_size = None , rotation_fname = None , touch_reopen = None , touch_rotate = None , owner = None , mode = None ) : """Set various parameters related to file logging . : param bool reopen _ on _ reload : Reopen log after reload . ...
self . _set ( 'log-reopen' , reopen_on_reload , cast = bool ) self . _set ( 'log-truncate' , trucate_on_statup , cast = bool ) self . _set ( 'log-maxsize' , max_size ) self . _set ( 'log-backupname' , rotation_fname ) self . _set ( 'touch-logreopen' , touch_reopen , multi = True ) self . _set ( 'touch-logrotate' , touc...
def main ( ) : """Entry point for console script jp2dump ."""
kwargs = { 'description' : 'Print JPEG2000 metadata.' , 'formatter_class' : argparse . ArgumentDefaultsHelpFormatter } parser = argparse . ArgumentParser ( ** kwargs ) parser . add_argument ( '-x' , '--noxml' , help = 'suppress XML' , action = 'store_true' ) parser . add_argument ( '-s' , '--short' , help = 'only print...
def delete_image_tar ( file_obj , tar ) : '''delete image tar will close a file object ( if extracted into memory ) or delete from the file system ( if saved to disk )'''
try : file_obj . close ( ) except : tar . close ( ) if os . path . exists ( file_obj ) : os . remove ( file_obj ) deleted = True bot . debug ( 'Deleted temporary tar.' ) return deleted
def GetFileObjectReferenceCount ( self , path_spec ) : """Retrieves the reference count of a cached file - like object . Args : path _ spec ( PathSpec ) : path specification . Returns : int : reference count or None if there is no file - like object for the corresponding path specification cached ."""
cache_value = self . _file_object_cache . GetCacheValue ( path_spec . comparable ) if not cache_value : return None return cache_value . reference_count
def get_live_league_games ( self ) : """Returns a dictionary containing a list of ticked games in progress : return : dictionary of live games , see : doc : ` responses < / responses > `"""
url = self . __build_url ( urls . GET_LIVE_LEAGUE_GAMES ) req = self . executor ( url ) if self . logger : self . logger . info ( 'URL: {0}' . format ( url ) ) if not self . __check_http_err ( req . status_code ) : return response . build ( req , url , self . raw_mode )
def configure_roles_on_host ( api , host ) : """Go through all the roles on this host , and configure them if they match the role types that we care about ."""
for role_ref in host . roleRefs : # Mgmt service / role has no cluster name . Skip over those . if role_ref . get ( 'clusterName' ) is None : continue # Get the role and inspect the role type role = api . get_cluster ( role_ref [ 'clusterName' ] ) . get_service ( role_ref [ 'serviceName' ] ) . get_r...
def get_searches ( self , quick = False , saved = True ) : '''Get searches listing . : param quick bool : Include quick searches ( default False ) : param quick saved : Include saved searches ( default True ) : returns : : py : class : ` planet . api . models . Searches ` : raises planet . api . exceptions ...
params = { } if saved and not quick : params [ 'search_type' ] = 'saved' elif quick : params [ 'search_type' ] = 'quick' return self . _get ( self . _url ( 'data/v1/searches/' ) , body_type = models . Searches , params = params ) . get_body ( )
def identifier ( self , camelsplit = False , ascii = True ) : """return a python identifier from the string ( underscore separators )"""
return self . nameify ( camelsplit = camelsplit , ascii = ascii , sep = '_' )
def download ( self , data , block_num = - 1 ) : """Downloads a DB data into the AG . A whole block ( including header and footer ) must be available into the user buffer . : param block _ num : New Block number ( or - 1) : param data : the user buffer"""
type_ = c_byte size = len ( data ) cdata = ( type_ * len ( data ) ) . from_buffer_copy ( data ) result = self . library . Cli_Download ( self . pointer , block_num , byref ( cdata ) , size ) return result
def create_dynamic ( cls , name , interface_id , dynamic_index = 1 , reverse_connection = True , automatic_default_route = True , domain_server_address = None , loopback_ndi = '127.0.0.1' , location_ref = None , log_server_ref = None , zone_ref = None , enable_gti = False , enable_antivirus = False , sidewinder_proxy_e...
interfaces = kw . pop ( 'interfaces' , [ ] ) # Add the primary interface to the interface list interface = { 'interface_id' : interface_id , 'interface' : 'single_node_interface' , 'zone_ref' : zone_ref , 'interfaces' : [ { 'nodes' : [ { 'dynamic' : True , 'dynamic_index' : dynamic_index , 'nodeid' : 1 , 'reverse_conne...
def isscalar ( cls , dataset , dim ) : """Tests if dimension is scalar in each subpath ."""
if not dataset . data : return True ds = cls . _inner_dataset_template ( dataset ) isscalar = [ ] for d in dataset . data : ds . data = d isscalar . append ( ds . interface . isscalar ( ds , dim ) ) return all ( isscalar )
def geojson_polygon_to_mask ( feature , shape , lat_idx , lon_idx ) : """Convert a GeoJSON polygon feature to a numpy array Args : feature ( pygeoj . Feature ) : polygon feature to draw shape ( tuple ( int , int ) ) : shape of 2D target numpy array to draw polygon in lat _ idx ( func ) : function converting...
import matplotlib # specify ' agg ' renderer , Mac renderer does not support what we want to do below matplotlib . use ( 'agg' ) import matplotlib . pyplot as plt from matplotlib import patches import numpy as np # we can only do polygons right now if feature . geometry . type not in ( 'Polygon' , 'MultiPolygon' ) : ...
def readline ( self , size = - 1 ) : "The size is ignored since a complete line must be read ."
line = self . fin . readline ( ) if not line : return '' return self . process_line ( line . rstrip ( '\n' ) )
def _finalize ( self ) : """Dump traces using cPickle ."""
container = { } try : for name in self . _traces : container [ name ] = self . _traces [ name ] . _trace container [ '_state_' ] = self . _state_ file = open ( self . filename , 'w+b' ) std_pickle . dump ( container , file ) file . close ( ) except AttributeError : pass
def create_role_config_group ( resource_root , service_name , name , display_name , role_type , cluster_name = "default" ) : """Create a role config group . @ param resource _ root : The root Resource object . @ param service _ name : Service name . @ param name : The name of the new group . @ param display...
apigroup = ApiRoleConfigGroup ( resource_root , name , display_name , role_type ) return create_role_config_groups ( resource_root , service_name , [ apigroup ] , cluster_name ) [ 0 ]
def rpc_get_completions ( self , filename , source , offset ) : """Get a list of completion candidates for the symbol at offset ."""
results = self . _call_backend ( "rpc_get_completions" , [ ] , filename , get_source ( source ) , offset ) # Uniquify by name results = list ( dict ( ( res [ 'name' ] , res ) for res in results ) . values ( ) ) results . sort ( key = lambda cand : _pysymbol_key ( cand [ "name" ] ) ) return results
def summary ( * samples ) : """Run SignatureCompareRelatedSimple module from qsignature tool . Creates a matrix of pairwise comparison among samples . The function will not run if the output exists : param samples : list with only one element containing all samples information : returns : ( dict ) with the ...
warnings , similar = [ ] , [ ] qsig = config_utils . get_program ( "qsignature" , samples [ 0 ] [ 0 ] [ "config" ] ) if not qsig : return [ [ ] ] res_qsig = config_utils . get_resources ( "qsignature" , samples [ 0 ] [ 0 ] [ "config" ] ) jvm_opts = " " . join ( res_qsig . get ( "jvm_opts" , [ "-Xms750m" , "-Xmx8g" ...
def _get_mod_ns ( name , fullname , includeprivate ) : """Return the template context of module identified by ` fullname ` as a dict"""
ns = { # template variables 'name' : name , 'fullname' : fullname , 'members' : [ ] , 'functions' : [ ] , 'classes' : [ ] , 'exceptions' : [ ] , 'subpackages' : [ ] , 'submodules' : [ ] , 'doc' : None } p = 0 if includeprivate : p = 1 mod = importlib . import_module ( fullname ) ns [ 'members' ] = _get_members ( mo...
def set_selected_submission ( self , course , task , submissionid ) : """Set submission whose id is ` submissionid ` to selected grading submission for the given course / task . Returns a boolean indicating whether the operation was successful or not ."""
submission = self . submission_manager . get_submission ( submissionid ) # Do not continue if submission does not exist or is not owned by current user if not submission : return False # Check if the submission if from this task / course ! if submission [ "taskid" ] != task . get_id ( ) or submission [ "courseid" ]...
def list_metadata ( self , resource ) : """List all keys associated with the given resource . Args : resource ( intern . resource . boss . BossResource ) Returns : ( list ) Raises : requests . HTTPError on a failure ."""
self . metadata_service . set_auth ( self . _token_metadata ) return self . metadata_service . list ( resource )
def parse_JSON ( self , JSON_string ) : """Parses a * pyowm . stationsapi30 . measurement . AggregatedMeasurement * instance out of raw JSON data . : param JSON _ string : a raw JSON string : type JSON _ string : str : return : a * pyowm . stationsapi30 . measurement . AggregatedMeasurement * instance or ...
if JSON_string is None : raise parse_response_error . ParseResponseError ( 'JSON data is None' ) d = json . loads ( JSON_string ) station_id = d . get ( 'station_id' , None ) ts = d . get ( 'date' , None ) if ts is not None : ts = int ( ts ) aggregated_on = d . get ( 'type' , None ) temp = d . get ( 'temp' , di...
def get_disk_quota ( username , machine_name = None ) : """Returns disk quota for username in KB"""
try : ua = Account . objects . get ( username = username , date_deleted__isnull = True ) except Account . DoesNotExist : return 'Account not found' result = ua . get_disk_quota ( ) if result is None : return False return result * 1048576
def _safe_db ( num , den ) : """Properly handle the potential + Inf db SIR instead of raising a RuntimeWarning ."""
if den == 0 : return np . inf return 10 * np . log10 ( num / den )
def find_or_build ( cls , ** kwargs ) : """Checks if an instance already exists in db with these kwargs else returns a new , saved instance of the service ' s model class . Args : * * kwargs : instance parameters"""
keys = kwargs . pop ( 'keys' ) if 'keys' in kwargs else [ ] return cls . first ( ** subdict ( kwargs , keys ) ) or cls . build ( ** kwargs )
def list ( self , ** params ) : """Retrieve all deal unqualified reasons Returns all deal unqualified reasons available to the user according to the parameters provided : calls : ` ` get / deal _ unqualified _ reasons ` ` : param dict params : ( optional ) Search options . : return : List of dictionaries th...
_ , _ , deal_unqualified_reasons = self . http_client . get ( "/deal_unqualified_reasons" , params = params ) return deal_unqualified_reasons
def _get_msge_with_gradient ( data , delta , xvschema , skipstep , p ) : """Calculate mean squared generalization error and its gradient , automatically selecting the best function ."""
t , m , l = data . shape n = ( l - p ) * t underdetermined = n < m * p if underdetermined : return _msge_with_gradient_underdetermined ( data , delta , xvschema , skipstep , p ) else : return _msge_with_gradient_overdetermined ( data , delta , xvschema , skipstep , p )
def _validate ( self ) : """Checks whether all the attributes of this object is valid ."""
if self . region_type not in regions_attributes : raise ValueError ( "'{0}' is not a valid region type in this package" . format ( self . region_type ) ) if self . coordsys not in valid_coordsys [ 'DS9' ] + valid_coordsys [ 'CRTF' ] : raise ValueError ( "'{0}' is not a valid coordinate reference frame " "in ast...
def check_code ( self , card_id , codes ) : """核查code"""
card_data = { 'card_id' : card_id , 'code' : codes } return self . _post ( 'card/code/checkcode' , data = card_data )
def merge ( self , other ) : # type : ( TentativeType ) - > None """Merge two TentativeType instances"""
for hashables in other . types_hashable : self . add ( hashables ) for non_hashbles in other . types : self . add ( non_hashbles )
def tone_marks ( ) : """Keep tone - modifying punctuation by matching following character . Assumes the ` tone _ marks ` pre - processor was run for cases where there might not be any space after a tone - modifying punctuation mark ."""
return RegexBuilder ( pattern_args = symbols . TONE_MARKS , pattern_func = lambda x : u"(?<={})." . format ( x ) ) . regex
def hide_columns ( self , subset ) : """Hide columns from rendering . . . versionadded : : 0.23.0 Parameters subset : IndexSlice An argument to ` ` DataFrame . loc ` ` that identifies which columns are hidden . Returns self : Styler"""
subset = _non_reducing_slice ( subset ) hidden_df = self . data . loc [ subset ] self . hidden_columns = self . columns . get_indexer_for ( hidden_df . columns ) return self
def next ( self ) : """Return the next available message Blocks indefinitely unless consumer _ timeout _ ms > 0 Returns : a single KafkaMessage from the message iterator Raises : ConsumerTimeout after consumer _ timeout _ ms and no message Note : This is also the method called internally during iterat...
self . _set_consumer_timeout_start ( ) while True : try : return six . next ( self . _get_message_iterator ( ) ) # Handle batch completion except StopIteration : self . _reset_message_iterator ( ) self . _check_consumer_timeout ( )
def open_keyword_cache_path ( self ) : """Open File dialog to choose the keyword cache path ."""
# noinspection PyCallByClass , PyTypeChecker file_name , __ = QFileDialog . getSaveFileName ( self , self . tr ( 'Set keyword cache file' ) , self . leKeywordCachePath . text ( ) , self . tr ( 'Sqlite DB File (*.db)' ) ) if file_name : self . leKeywordCachePath . setText ( file_name )
def request ( self , method , url , params = None , data = None , headers = None , cookies = None , files = None , auth = None , timeout = None , allow_redirects = True , proxies = None , hooks = None , stream = None , verify = None , cert = None , json = None ) : """Constructs a : class : ` Request < Request > ` ,...
# Create the Request . req = Request ( method = method . upper ( ) , url = url , headers = headers , files = files , data = data or { } , json = json , params = params or { } , auth = auth , cookies = cookies , hooks = hooks , ) prep = self . prepare_request ( req ) proxies = proxies or { } settings = self . merge_envi...
def cleanup ( ) : """deletes launch configs and auto scaling group"""
try : cloud_config = CloudConfig ( ) cloud_controller = CloudController ( cloud_config ) cloud_controller . cleanup ( ) except CloudComposeException as ex : print ( ex )
def upload_scripts ( client , script_dir , overwrite = True ) : """Uploads general - purpose scripts to a Google Storage bucket . TODO : docstring"""
local_dir = os . path . join ( genometools . _root , 'data' , 'gcloud' , 'scripts' ) match = _BUCKET_PAT . match ( script_dir ) script_bucket = match . group ( 1 ) script_prefix = match . group ( 2 ) depth = len ( local_dir . split ( os . sep ) ) for root , dirs , files in os . walk ( local_dir ) : rel_path = '/' ....
def walk ( patterns , dirname ) : """Like # os . walk ( ) , but filters the files and directories that are excluded by the specified * patterns * . # Arguments patterns ( IgnoreList , IgnoreListCollection ) : Can also be any object that implements the # IgnoreList . match ( ) interface . dirname ( str ) :...
join = os . path . join for root , dirs , files in os . walk ( dirname , topdown = True ) : dirs [ : ] = [ d for d in dirs if patterns . match ( join ( root , d ) , True ) != MATCH_IGNORE ] files [ : ] = [ f for f in files if patterns . match ( join ( root , f ) , False ) != MATCH_IGNORE ] yield root , dirs...
def _load_service_containers ( self , service , configs , use_cache ) : """: param service : : return :"""
if not isinstance ( service , Service ) : raise TypeError ( "service must of an instance of Service" ) if not service . containers : container_name = self . _container_registration ( service . alias ) if service . dependencies : self . _load_dependency_containers ( service ) if not service . car...
def get_elms ( self , id_ = None , class_name = None , name = None , tag_name = None , text = None , xpath = None , parent_id = None , parent_class_name = None , parent_name = None , parent_tag_name = None , css_selector = None ) : """Shortcut for : py : meth : ` find _ element * < selenium . webdriver . remote . w...
if parent_id or parent_class_name or parent_name or parent_tag_name : parent = self . get_elm ( parent_id , parent_class_name , parent_name , parent_tag_name ) else : parent = self if len ( [ x for x in ( id_ , class_name , tag_name , text , xpath ) if x is not None ] ) > 1 : raise Exception ( 'You can find...
def render ( self ) : """Render html page and atom feed"""
context = GLOBAL_TEMPLATE_CONTEXT . copy ( ) context [ 'tag' ] = self entries = list ( self . entries ) entries . sort ( key = operator . attrgetter ( 'date' ) , reverse = True ) context [ 'entries' ] = entries # render html page render_to = os . path . join ( CONFIG [ 'output_to' ] , 'tags' , self . slug ) if not os ....
def description ( cls ) : """Return a field - > data type dictionary describing this model as reported by the database . : rtype : dict"""
description = { } for column in cls . __table__ . columns : # pylint : disable = no - member column_description = str ( column . type ) if not column . nullable : column_description += ' (required)' description [ column . name ] = column_description return description
def is_empty ( self ) : """Check whether this interval is empty . : rtype : bool"""
if self . bounds [ 1 ] < self . bounds [ 0 ] : return True if self . bounds [ 1 ] == self . bounds [ 0 ] : return not ( self . included [ 0 ] and self . included [ 1 ] )
def __instances ( self ) : """Cache instances , allowing generators to be used and reused . This fills a cache as the generator gets emptied , eventually reading exclusively from the cache ."""
for instance in self . __instances_cache : yield instance for instance in self . __instances_original : self . __instances_cache . append ( instance ) yield instance
def known_remotes ( self ) : """The names of the configured remote repositories ( a list of : class : ` . Remote ` objects ) ."""
objects = [ ] output = self . context . capture ( 'bzr' , 'config' , 'parent_location' , check = False , silent = True , ) if output and not output . isspace ( ) : location = output . strip ( ) # The ` bzr branch ' command has the unusual habit of converting # absolute pathnames into relative pathnames . Al...
def get_config ( ) : """Return configuration for current session . When called for the first time , this will create a config object , using whatever is the default load path to find the config yaml"""
if session . config is None : path = session . default_config_path if os . path . isfile ( path ) : logging . info ( "LOADING FROM: {}" . format ( path ) ) session . config = load_config ( path ) else : session . config = Config ( ) logging . info ( "using default session: {}...
def list_edges ( self , * , axis : int ) -> List [ str ] : """* * DEPRECATED * * - Use ` ds . row _ graphs . keys ( ) ` or ` ds . col _ graphs . keys ( ) ` instead"""
deprecated ( "'list_edges' is deprecated. Use 'ds.row_graphs.keys()' or 'ds.col_graphs.keys()' instead" ) if axis == 0 : return self . row_graphs . keys ( ) elif axis == 1 : return self . col_graphs . keys ( ) else : return [ ]
def cnst_A1T ( self , Y1 ) : r"""Compute : math : ` A _ 1 ^ T \ mathbf { y } _ 1 ` component of : math : ` A ^ T \ mathbf { y } ` . In this case : math : ` A _ 1 ^ T \ mathbf { y } _ 1 = ( \ Gamma _ 0 ^ T \ ; \ ; \ Gamma _ 1 ^ T \ ; \ ; \ ldots ) \ mathbf { y } _ 1 ` ."""
Y1f = sl . rfftn ( Y1 , None , axes = self . cri . axisN ) return sl . irfftn ( np . conj ( self . GDf ) * Y1f , self . cri . Nv , self . cri . axisN )
def get_nodes_by_source ( self , graph , source_full_name ) : """yields nodes from graph are the specified source ."""
parts = source_full_name . split ( '.' ) if len ( parts ) == 1 : target_source , target_table = parts [ 0 ] , None elif len ( parts ) == 2 : target_source , target_table = parts else : # len ( parts ) > 2 or len ( parts ) = = 0 msg = ( 'Invalid source selector value "{}". Sources must be of the ' 'form `${{...
def list2dict ( list_of_options ) : """Transforms a list of 2 element tuples to a dictionary"""
d = { } for key , value in list_of_options : d [ key ] = value return d
def accept ( self ) : """Launch the multi exposure analysis ."""
if not isinstance ( self . _multi_exposure_if , MultiExposureImpactFunction ) : # This should not happen as the " accept " button must be disabled if # the impact function is not ready . return ANALYSIS_FAILED_BAD_CODE , None self . tab_widget . setCurrentIndex ( 2 ) self . set_enabled_buttons ( False ) enable_busy...
def _tzstr ( self , sep = ":" ) : """Return formatted timezone offset ( + xx : xx ) or None ."""
off = self . utcoffset ( ) if off is not None : if off . days < 0 : sign = "-" off = - off else : sign = "+" hh , mm = divmod ( off , timedelta ( hours = 1 ) ) assert not mm % timedelta ( minutes = 1 ) , "whole minute" mm //= timedelta ( minutes = 1 ) assert 0 <= hh < 24 ...
def send_cmd ( cmd , args , ret ) : """Collect and send analytics for CLI command . Args : args ( list ) : parsed args for the CLI command . ret ( int ) : return value of the CLI command ."""
from dvc . daemon import daemon if not Analytics . _is_enabled ( cmd ) : return analytics = Analytics ( ) analytics . collect_cmd ( args , ret ) daemon ( [ "analytics" , analytics . dump ( ) ] )
def bitpos ( self , key , bit , start = None , end = None ) : """Find first bit set or clear in a string . : raises ValueError : if bit is not 0 or 1"""
if bit not in ( 1 , 0 ) : raise ValueError ( "bit argument must be either 1 or 0" ) bytes_range = [ ] if start is not None : bytes_range . append ( start ) if end is not None : if start is None : bytes_range = [ 0 , end ] else : bytes_range . append ( end ) return self . execute ( b'BITP...
def ascii2h5 ( bh_dir = None ) : """Convert the Burstein & Heiles ( 1982 ) dust map from ASCII to HDF5."""
if bh_dir is None : bh_dir = os . path . join ( data_dir_default , 'bh' ) fname = os . path . join ( bh_dir , '{}.ascii' ) f = h5py . File ( 'bh.h5' , 'w' ) for region in ( 'hinorth' , 'hisouth' ) : data = np . loadtxt ( fname . format ( region ) , dtype = 'f4' ) # Reshape and clip data . shape = ( 210 ...
def equals ( df1 , df2 , ignore_order = set ( ) , ignore_indices = set ( ) , all_close = False , _return_reason = False ) : '''Get whether 2 data frames are equal . ` ` NaN ` ` is considered equal to ` ` NaN ` ` and ` None ` . Parameters df1 : ~ pandas . DataFrame Data frame to compare . df2 : ~ pandas . ...
result = _equals ( df1 , df2 , ignore_order , ignore_indices , all_close ) if _return_reason : return result else : return result [ 0 ]
def get_cache_context ( self ) : '''Retrieve a context cache from disk'''
with salt . utils . files . fopen ( self . cache_path , 'rb' ) as cache : return salt . utils . data . decode ( self . serial . load ( cache ) )
def check_error ( res , error_enum ) : """Raise if the result has an error , otherwise return the result ."""
if res . HasField ( "error" ) : enum_name = error_enum . DESCRIPTOR . full_name error_name = error_enum . Name ( res . error ) details = getattr ( res , "error_details" , "<none>" ) raise RequestError ( "%s.%s: '%s'" % ( enum_name , error_name , details ) , res ) return res
def get_changes ( self , factory_name , global_factory = False , resources = None , task_handle = taskhandle . NullTaskHandle ( ) ) : """Get the changes this refactoring makes ` factory _ name ` indicates the name of the factory function to be added . If ` global _ factory ` is ` True ` the factory will be gl...
if resources is None : resources = self . project . get_python_files ( ) changes = ChangeSet ( 'Introduce factory method <%s>' % factory_name ) job_set = task_handle . create_jobset ( 'Collecting Changes' , len ( resources ) ) self . _change_module ( resources , changes , factory_name , global_factory , job_set ) r...
def map_values2 ( self , func ) : """: param func : : type func : ( K , T ) - > U : rtype : TDict [ U ] Usage : > > > TDict ( k1 = 1 , k2 = 2 , k3 = 3 ) . map _ values2 ( lambda k , v : f ' { k } - > { v * 2 } ' ) = = { . . . " k1 " : " k1 - > 2 " , . . . " k2 " : " k2 - > 4 " , . . . " k3 " : " k3 - ...
return TDict ( { k : func ( k , v ) for k , v in self . items ( ) } )
def _parse_eval_args ( self , * args , ** kwargs ) : """NAME : _ parse _ eval _ args PURPOSE : Internal function to parse the arguments given for an action / frequency / angle evaluation INPUT : OUTPUT : HISTORY : 2010-07-11 - Written - Bovy ( NYU )"""
if len ( args ) == 3 : # R , vR . vT R , vR , vT = args self . _eval_R = R self . _eval_vR = vR self . _eval_vT = vT self . _eval_z = 0. self . _eval_vz = 0. elif len ( args ) == 5 : # R , vR . vT , z , vz R , vR , vT , z , vz = args self . _eval_R = R self . _eval_vR = vR self ....
def print ( self , tag = None , name = None ) : """Prints each tuple to stdout flushing after each tuple . If ` tag ` is not ` None ` then each tuple has " tag : " prepended to it before printing . Args : tag : A tag to prepend to each tuple . name ( str ) : Name of the resulting stream . When ` None ` ...
_name = name if _name is None : _name = 'print' fn = streamsx . topology . functions . print_flush if tag is not None : tag = str ( tag ) + ': ' fn = lambda v : streamsx . topology . functions . print_flush ( tag + str ( v ) ) sp = self . for_each ( fn , name = _name ) sp . _op ( ) . sl = _SourceLocation ( ...
def allocate ( self ) : """Returns an efficient portfolio allocation for the given risk index ."""
df = self . manager . get_historic_data ( ) [ self . SUPPORTED_COINS ] # = = = = Calculate the daily changes = = = = # change_columns = [ ] for column in df : if column in self . SUPPORTED_COINS : change_column = '{}_change' . format ( column ) values = pd . Series ( ( df [ column ] . shift ( - 1 ) ...
def attributes ( self , * args , ** kwargs ) : """Add one or more attributes to the : class : ` xml4h . nodes . Element ` node represented by this Builder . : return : the current Builder . Delegates to : meth : ` xml4h . nodes . Element . set _ attributes ` ."""
self . _element . set_attributes ( * args , ** kwargs ) return self
def get_named_type ( type_ ) : # noqa : F811 """Unwrap possible wrapping type"""
if type_ : unwrapped_type = type_ while is_wrapping_type ( unwrapped_type ) : unwrapped_type = cast ( GraphQLWrappingType , unwrapped_type ) unwrapped_type = unwrapped_type . of_type return cast ( GraphQLNamedType , unwrapped_type ) return None
def get_links ( self , request = None ) : """Return a dictionary containing all the links that should be included in the API schema ."""
links = LinkNode ( ) # Generate ( path , method , view ) given ( path , method , callback ) . paths = [ ] view_endpoints = [ ] for path , method , callback in self . endpoints : view = self . create_view ( callback , method , request ) if getattr ( view , 'exclude_from_schema' , False ) : continue p...
def _request_raw_content ( self , url , timeout ) : """Send the request to get raw content ."""
request = Request ( url ) if self . referer is not None : request . add_header ( 'Referer' , self . referer ) raw_xml = self . _call_geocoder ( request , timeout = timeout , deserializer = None ) return raw_xml
def findall ( self , title = None ) : """Return a list of worksheets with the given title . Args : title ( str ) : title / name of the worksheets to return , or ` ` None ` ` for all Returns : list : list of contained worksheet instances ( possibly empty )"""
if title is None : return list ( self . _sheets ) if title not in self . _titles : return [ ] return list ( self . _titles [ title ] )
def active_brokers ( self ) : """Return set of brokers that are not inactive or decommissioned ."""
return { broker for broker in self . _brokers if not broker . inactive and not broker . decommissioned }
def _convert_snapshots ( topo_dir ) : """Convert 1 . x snapshot to the new format"""
old_snapshots_dir = os . path . join ( topo_dir , "project-files" , "snapshots" ) if os . path . exists ( old_snapshots_dir ) : new_snapshots_dir = os . path . join ( topo_dir , "snapshots" ) os . makedirs ( new_snapshots_dir ) for snapshot in os . listdir ( old_snapshots_dir ) : snapshot_dir = os ....
def check_tx_ok ( result ) : """Checks if function : meth : ` UcanServer . write _ can _ msg ` successfully wrote CAN message ( s ) . While using : meth : ` UcanServer . write _ can _ msg _ ex ` the number of sent CAN messages can be less than the number of CAN messages which should be sent . : param ReturnCo...
return ( result . value == ReturnCode . SUCCESSFUL ) or ( result . value > ReturnCode . WARNING )
def _load_dataset ( self , images , labels , emotion_index_map ) : """Loads Dataset object with images , labels , and other data . : param images : numpy array of image data : param labels : numpy array of one - hot vector labels : param emotion _ index _ map : map linking string / integer emotion class to in...
train_images , test_images , train_labels , test_labels = train_test_split ( images , labels , test_size = self . validation_split , random_state = 42 , stratify = labels ) dataset = Dataset ( train_images , test_images , train_labels , test_labels , emotion_index_map , self . time_delay ) return dataset