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def inject_func_as_property ( self , func , method_name = None , class_ = None ) : """WARNING : properties are more safely injected using metaclasses References : http : / / stackoverflow . com / questions / 13850114 / dynamically - adding - methods - with - or - without - metaclass - in - python"""
if method_name is None : method_name = get_funcname ( func ) # new _ method = func . _ _ get _ _ ( self , self . _ _ class _ _ ) new_property = property ( func ) setattr ( self . __class__ , method_name , new_property )
def _ParseMRUListExEntryValue ( self , parser_mediator , registry_key , entry_index , entry_number , codepage = 'cp1252' , ** kwargs ) : """Parses the MRUListEx entry value . Args : parser _ mediator ( ParserMediator ) : mediates interactions between parsers and other components , such as storage and dfvfs . ...
value_string = '' value = registry_key . GetValueByName ( '{0:d}' . format ( entry_number ) ) if value is None : parser_mediator . ProduceExtractionWarning ( 'missing MRUListEx value: {0:d} in key: {1:s}.' . format ( entry_number , registry_key . path ) ) elif not value . DataIsBinaryData ( ) : logger . debug (...
def context ( self , key , method ) : """A helper method to attach a value within context . : param key : the key attached to the context . : param method : the constructor function . : return : the value attached to the context ."""
ctx = stack . top if ctx is not None : if not hasattr ( ctx , key ) : setattr ( ctx , key , method ( ) ) return getattr ( ctx , key )
def set_kwargs ( self , code ) : """Sets widget from kwargs string Parameters code : String \t Code representation of kwargs value"""
kwargs = { } kwarglist = list ( parse_dict_strings ( code [ 1 : - 1 ] ) ) for kwarg , val in zip ( kwarglist [ : : 2 ] , kwarglist [ 1 : : 2 ] ) : kwargs [ unquote_string ( kwarg ) ] = val for key in kwargs : if key == "color" : color = code2color ( kwargs [ key ] ) self . colorselect . SetOwnFo...
def mergeSplitsOnInterfaces ( root : LNode ) : """collect all split / concatenation nodes and group them by target interface"""
for ch in root . children : if ch . children : mergeSplitsOnInterfaces ( ch ) ctx = MergeSplitsOnInterfacesCtx ( ) for ch in root . children : srcPorts = None try : if ch . name == "CONCAT" : p = single ( ch . east , lambda x : True ) e = single ( p . outgoingEdges , ...
def _highlight ( html ) : """Syntax - highlights HTML - rendered Markdown . Plucks sections to highlight that conform the the GitHub fenced code info string as defined at https : / / github . github . com / gfm / # info - string . Args : html ( str ) : The rendered HTML . Returns : str : The HTML with P...
formatter = pygments . formatters . HtmlFormatter ( nowrap = True ) code_expr = re . compile ( r'<pre><code class="language-(?P<lang>.+?)">(?P<code>.+?)' r'</code></pre>' , re . DOTALL ) def replacer ( match ) : try : lang = match . group ( 'lang' ) lang = _LANG_ALIASES . get ( lang , lang ) ...
def get_row_height ( self , row , tab ) : """Returns row height"""
try : return self . row_heights [ ( row , tab ) ] except KeyError : return config [ "default_row_height" ]
def create_from_fitsfile ( cls , fitsfile ) : """Read a fits file and use it to make a mapping"""
from fermipy . skymap import Map index_map = Map . create_from_fits ( fitsfile ) mult_map = Map . create_from_fits ( fitsfile , hdu = 1 ) ff = fits . open ( fitsfile ) hpx = HPX . create_from_hdu ( ff [ 0 ] ) mapping_data = dict ( ipixs = index_map . counts , mult_val = mult_map . counts , npix = mult_map . counts . sh...
def get_html ( grafs ) : """Renders the grafs provided in HTML by wrapping them in < p > tags . Linebreaks are replaced with < br > tags ."""
html = [ format_html ( '<p>{}</p>' , p ) for p in grafs ] html = [ p . replace ( "\n" , "<br>" ) for p in html ] return format_html ( six . text_type ( '\n\n' . join ( html ) ) )
def createTileUrl ( self , x , y , z ) : '''returns new tile url based on template'''
return self . tileTemplate . replace ( '{{x}}' , str ( x ) ) . replace ( '{{y}}' , str ( y ) ) . replace ( '{{z}}' , str ( z ) )
def is_zipfile ( filename ) : """Quickly see if file is a ZIP file by checking the magic number ."""
try : fpin = open ( filename , "rb" ) endrec = _EndRecData ( fpin ) fpin . close ( ) if endrec : return True # file has correct magic number except IOError : pass return False
def _py3_crc16 ( value ) : """Calculate the CRC for the value in Python 3 : param bytes value : The value to return for the CRC Checksum : rtype : int"""
crc = 0 for byte in value : crc = ( ( crc << 8 ) & 0xffff ) ^ _CRC16_LOOKUP [ ( ( crc >> 8 ) ^ byte ) & 0xff ] return crc
def education ( self ) : """A list of structures describing the user ' s education history . Each structure has attributes ` ` school ` ` , ` ` year ` ` , ` ` concentration ` ` and ` ` type ` ` . ` ` school ` ` , ` ` year ` ` reference ` ` Page ` ` instances , while ` ` concentration ` ` is a list of ` ` Page `...
educations = [ ] for education in self . cache [ 'education' ] : school = Page ( ** education . get ( 'school' ) ) year = Page ( ** education . get ( 'year' ) ) type = education . get ( 'type' ) if 'concentration' in education : concentration = map ( lambda c : Page ( ** c ) , education . get ( ...
def decrypt_ige ( cipher_text , key , iv ) : """Decrypts the given text in 16 - bytes blocks by using the given key and 32 - bytes initialization vector ."""
if cryptg : return cryptg . decrypt_ige ( cipher_text , key , iv ) if libssl . decrypt_ige : return libssl . decrypt_ige ( cipher_text , key , iv ) iv1 = iv [ : len ( iv ) // 2 ] iv2 = iv [ len ( iv ) // 2 : ] aes = pyaes . AES ( key ) plain_text = [ ] blocks_count = len ( cipher_text ) // 16 cipher_text_block ...
def list_ ( prefix = None , bin_env = None , user = None , cwd = None , env_vars = None , ** kwargs ) : '''Filter list of installed apps from ` ` freeze ` ` and check to see if ` ` prefix ` ` exists in the list of packages installed . . . note : : If the version of pip available is older than 8.0.3 , the pack...
packages = { } if prefix is None or 'pip' . startswith ( prefix ) : packages [ 'pip' ] = version ( bin_env ) for line in freeze ( bin_env = bin_env , user = user , cwd = cwd , env_vars = env_vars , ** kwargs ) : if line . startswith ( '-f' ) or line . startswith ( '#' ) : # ignore - f line as it contains - - fi...
def append ( self , data ) : """Appends the given data to the buffer , and triggers all connected monitors , if any of them match the buffer content . : type data : str : param data : The data that is appended ."""
self . io . write ( data ) if not self . monitors : return # Check whether any of the monitoring regular expressions matches . # If it does , we need to disable that monitor until the matching # data is no longer in the buffer . We accomplish this by keeping # track of the position of the last matching byte . buf =...
def reverse_transform ( self , col ) : """Converts data back into original format . Args : col ( pandas . DataFrame ) : Data to transform . Returns : pandas . DataFrame"""
output = pd . DataFrame ( ) output [ self . col_name ] = self . get_category ( col [ self . col_name ] ) return output
def get_next_step ( self ) : """Find the proper step when user clicks the Next button . : returns : The step to be switched to : rtype : WizardStep instance or None"""
if is_raster_layer ( self . parent . layer ) : new_step = self . parent . step_kw_band_selector else : new_step = self . parent . step_kw_layermode return new_step
def path_yield ( path ) : """Yield on all path parts ."""
for part in ( x for x in path . strip ( SEP ) . split ( SEP ) if x not in ( None , '' ) ) : yield part
def get_hash ( self , ireq , ireq_hashes = None ) : """Retrieve hashes for a specific ` ` InstallRequirement ` ` instance . : param ireq : An ` ` InstallRequirement ` ` to retrieve hashes for : type ireq : : class : ` ~ pip _ shims . InstallRequirement ` : return : A set of hashes . : rtype : Set"""
# We _ ALWAYS MUST PRIORITIZE _ the inclusion of hashes from local sources # PLEASE * DO NOT MODIFY THIS * TO CHECK WHETHER AN IREQ ALREADY HAS A HASH # RESOLVED . The resolver will pull hashes from PyPI and only from PyPI . # The entire purpose of this approach is to include missing hashes . # This fixes a race condit...
def generate_output_list ( self , source , key , val , line = '2' , hr = True , show_name = False , colorize = True ) : """The function for generating CLI output RDAP list results . Args : source ( : obj : ` str ` ) : The parent key ' network ' or ' objects ' ( required ) . key ( : obj : ` str ` ) : The eve...
output = generate_output ( line = line , short = HR_RDAP [ source ] [ key ] [ '_short' ] if hr else key , name = HR_RDAP [ source ] [ key ] [ '_name' ] if ( hr and show_name ) else None , is_parent = False if ( val is None or len ( val ) == 0 ) else True , value = 'None' if ( val is None or len ( val ) == 0 ) else None...
def p_field_optional2_3 ( self , p ) : """field : name arguments directives"""
p [ 0 ] = Field ( name = p [ 1 ] , arguments = p [ 2 ] , directives = p [ 3 ] )
def _reset ( self ) : """Reset internal flags and entry lists ."""
self . entries = [ ] self . default_entry = None self . disallow_all = False self . allow_all = False self . last_checked = 0 # list of tuples ( sitemap url , line number ) self . sitemap_urls = [ ]
def as_condition ( cls , obj ) : """Convert obj into : class : ` Condition `"""
if isinstance ( obj , cls ) : return obj else : return cls ( cmap = obj )
def innerLoop ( self ) : """The main loop for processing jobs by the leader ."""
self . timeSinceJobsLastRescued = time . time ( ) while self . toilState . updatedJobs or self . getNumberOfJobsIssued ( ) or self . serviceManager . jobsIssuedToServiceManager : if self . toilState . updatedJobs : self . _processReadyJobs ( ) # deal with service - related jobs self . _startServiceJ...
def normalize_per_cell_weinreb16_deprecated ( X , max_fraction = 1 , mult_with_mean = False , ) -> np . ndarray : """Normalize each cell [ Weinreb17 ] _ . This is a deprecated version . See ` normalize _ per _ cell ` instead . Normalize each cell by UMI count , so that every cell has the same total count . ...
if max_fraction < 0 or max_fraction > 1 : raise ValueError ( 'Choose max_fraction between 0 and 1.' ) counts_per_cell = X . sum ( 1 ) . A1 if issparse ( X ) else X . sum ( 1 ) gene_subset = np . all ( X <= counts_per_cell [ : , None ] * max_fraction , axis = 0 ) if issparse ( X ) : gene_subset = gene_subset . A...
def _ascii_find_urls ( bytes , mimetype , extra_tokens = True ) : """This function finds URLs inside of ASCII bytes ."""
tokens = _tokenize ( bytes , mimetype , extra_tokens = extra_tokens ) return tokens
def fromDatetime ( klass , dtime ) : """Return a new Time instance from a datetime . datetime instance . If the datetime instance does not have an associated timezone , it is assumed to be UTC ."""
self = klass . __new__ ( klass ) if dtime . tzinfo is not None : self . _time = dtime . astimezone ( FixedOffset ( 0 , 0 ) ) . replace ( tzinfo = None ) else : self . _time = dtime self . resolution = datetime . timedelta . resolution return self
def request_error_header ( exception ) : """Generates the error header for a request using a Bearer token based on a given OAuth exception ."""
from . conf import options header = "Bearer realm=\"%s\"" % ( options . realm , ) if hasattr ( exception , "error" ) : header = header + ", error=\"%s\"" % ( exception . error , ) if hasattr ( exception , "reason" ) : header = header + ", error_description=\"%s\"" % ( exception . reason , ) return header
def set_XY ( self , X = None , Y = None ) : """Set the input / output data of the model This is useful if we wish to change our existing data but maintain the same model : param X : input observations : type X : np . ndarray : param Y : output observations : type Y : np . ndarray"""
self . update_model ( False ) if Y is not None : if self . normalizer is not None : self . normalizer . scale_by ( Y ) self . Y_normalized = ObsAr ( self . normalizer . normalize ( Y ) ) self . Y = Y else : self . Y = ObsAr ( Y ) self . Y_normalized = self . Y if X is not...
def find_recursive_dependency ( self ) : """Return a list of nodes that have a recursive dependency ."""
nodes_on_path = [ ] def helper ( nodes ) : for node in nodes : cycle = node in nodes_on_path nodes_on_path . append ( node ) if cycle or helper ( self . deps . get ( node , [ ] ) ) : return True nodes_on_path . pop ( ) return False helper ( self . unordered ) return n...
def _preoptimize_model ( self ) : """Preoptimizes the model by estimating a Gaussian state space models Returns - Gaussian model latent variable object"""
gaussian_model = DynReg ( formula = self . formula , data = self . data_original ) gaussian_model . fit ( ) for i in range ( self . z_no - self . family_z_no ) : self . latent_variables . z_list [ i ] . start = gaussian_model . latent_variables . get_z_values ( ) [ i + 1 ] if self . model_name2 == 't' : def tem...
def populate_keys_tree ( self ) : """Reads the HOTKEYS global variable and insert all data in the TreeStore used by the preferences window treeview ."""
for group in HOTKEYS : parent = self . store . append ( None , [ None , group [ 'label' ] , None , None ] ) for item in group [ 'keys' ] : if item [ 'key' ] == "show-hide" or item [ 'key' ] == "show-focus" : accel = self . settings . keybindingsGlobal . get_string ( item [ 'key' ] ) ...
def topic ( self , channel , topic = None ) : """change or request the topic of a channel"""
if topic : channel += ' :' + topic self . send_line ( 'TOPIC %s' % channel )
def attrgetter_atom_split ( tokens ) : """Split attrgetter _ atom _ tokens into ( attr _ or _ method _ name , method _ args _ or _ none _ if _ attr ) ."""
if len ( tokens ) == 1 : # . attr return tokens [ 0 ] , None elif len ( tokens ) >= 2 and tokens [ 1 ] == "(" : # . method ( . . . if len ( tokens ) == 2 : # . method ( ) return tokens [ 0 ] , "" elif len ( tokens ) == 3 : # . method ( args ) return tokens [ 0 ] , tokens [ 2 ] else : ...
def tokml ( self ) : """Generate a KML Placemark element subtree . Returns : etree . Element : KML Placemark element"""
placemark = create_elem ( 'Placemark' ) if self . name : placemark . set ( 'id' , self . name ) placemark . name = create_elem ( 'name' , text = self . name ) if self . description : placemark . description = create_elem ( 'description' , text = self . description ) placemark . Point = create_elem ( 'Point'...
def get_content ( self , obj ) : """All content for office ' s page on an election day ."""
election_day = ElectionDay . objects . get ( date = self . context [ 'election_date' ] ) return PageContent . objects . office_content ( election_day , obj )
def db_for_write ( self , model , ** hints ) : """If given some hints [ ' instance ' ] that is saved in a db , use related fields from the same db . Otherwise if passed a class or instance to model , return the salesforce alias if it ' s a subclass of SalesforceModel ."""
if 'instance' in hints : db = hints [ 'instance' ] . _state . db if db : return db if getattr ( model , '_salesforce_object' , False ) : return self . sf_alias
def get_stream ( self , stream_name : str ) -> StreamWrapper : """Get a : py : class : ` StreamWrapper ` with the given name . : param stream _ name : stream name : return : dataset function name providing the respective stream : raise AttributeError : if the dataset does not provide the function creating the...
if stream_name not in self . _streams : stream_fn_name = '{}_stream' . format ( stream_name ) try : stream_fn = getattr ( self . _dataset , stream_fn_name ) stream_epoch_limit = - 1 if self . _fixed_epoch_size is not None and stream_name == self . _train_stream_name : stream_...
def reverse_point ( self , latitude , longitude , ** kwargs ) : """Method for identifying an address from a geographic point"""
fields = "," . join ( kwargs . pop ( "fields" , [ ] ) ) point_param = "{0},{1}" . format ( latitude , longitude ) response = self . _req ( verb = "reverse" , params = { "q" : point_param , "fields" : fields } ) if response . status_code != 200 : return error_response ( response ) return Location ( response . json (...
def draw_pegasus_yield ( G , ** kwargs ) : """Draws the given graph G with highlighted faults , according to layout . Parameters G : NetworkX graph The graph to be parsed for faults unused _ color : tuple or color string ( optional , default ( 0.9,0.9,0.9,1.0 ) ) The color to use for nodes and edges of G ...
try : assert ( G . graph [ "family" ] == "pegasus" ) m = G . graph [ 'columns' ] offset_lists = ( G . graph [ 'vertical_offsets' ] , G . graph [ 'horizontal_offsets' ] ) coordinates = G . graph [ "labels" ] == "coordinate" # Can ' t interpret fabric _ only from graph attributes except : raise Va...
def critical ( self , text ) : """Posts a critical message adding a timestamp and logging level to it for both file and console handlers . Logger uses a redraw rate because of console flickering . That means it will not draw new messages or progress at the very time they are being logged but their timestamp wil...
self . queue . put ( dill . dumps ( LogMessageCommand ( text = text , level = logging . CRITICAL ) ) )
def LR_predict ( w , b , X ) : """Predict whether the label is 0 or 1 using learned logistic regression parameters ( w , b ) Arguments : w - - weights , a numpy array of size ( num _ px * num _ px * 3 , 1) b - - bias , a scalar X - - data of size ( num _ px * num _ px * 3 , number of examples ) Returns : ...
m = X . shape [ 1 ] Y_prediction = np . zeros ( ( 1 , m ) ) w = w . reshape ( X . shape [ 0 ] , 1 ) A = sigmoid ( np . dot ( w . T , X ) + b ) for i in range ( A . shape [ 1 ] ) : if A [ 0 , i ] > 0.5 : Y_prediction [ 0 , i ] = 1.0 else : Y_prediction [ 0 , i ] = 0.0 assert ( Y_prediction . shap...
def is_null ( value ) : """Check if the scalar value or tuple / list value is NULL . : param value : Value to check . : type value : a scalar or tuple or list : return : Returns ` ` True ` ` if and only if the value is NULL ( scalar value is None or _ any _ tuple / list elements are None ) . : rtype : boo...
if type ( value ) in ( tuple , list ) : for v in value : if v is None : return True return False else : return value is None
def match ( self , props = None , rng = None , offset = None ) : """Provide any of the args and match or dont . : param props : Should be a subset of my props . : param rng : Exactly match my range . : param offset : I start after this offset . : returns : True if all the provided predicates match or are No...
if rng : s , e = rng else : e = s = None return ( ( e is None or self . end == e ) and ( s is None or self . start == s ) ) and ( props is None or props . issubset ( self . props ) ) and ( offset is None or self . start >= offset )
def send_private_message ( self , user_id , message ) : """Send a message to a specific client . Returns True if successful , False otherwise"""
try : client = self . channels [ 'private' ] [ str ( user_id ) ] except KeyError : print '====debug====' print self . channels [ 'private' ] print 'client with id %s not found' % user_id return False client . send_message ( message ) print 'message sent to client #%s' % user_id return True
def _update_metadata ( self , data , ds_info ) : """Update metadata of the given DataArray"""
# Metadata from the dataset definition data . attrs . update ( ds_info ) # If the file _ type attribute is a list and the data is xarray # the concat of the dataset will not work . As the file _ type is # not needed this will be popped here . if 'file_type' in data . attrs : data . attrs . pop ( 'file_type' ) # Met...
def GetNewSessionID ( self , ** _ ) : """Returns a random integer session ID for this hunt . All hunts are created under the aff4 : / hunts namespace . Returns : a formatted session id string ."""
return rdfvalue . SessionID ( base = "aff4:/hunts" , queue = self . runner_args . queue )
def destroy ( self , request , pk = None , parent_lookup_seedteam = None , parent_lookup_seedteam__organization = None ) : '''Remove a permission from a team .'''
self . check_team_permissions ( request , parent_lookup_seedteam , parent_lookup_seedteam__organization ) return super ( TeamPermissionViewSet , self ) . destroy ( request , pk , parent_lookup_seedteam , parent_lookup_seedteam__organization )
def search_in_hdx ( query , configuration = None , ** kwargs ) : # type : ( str , Optional [ Configuration ] , Any ) - > List [ ' Resource ' ] """Searches for resources in HDX . NOTE : Does not search dataset metadata ! Args : query ( str ) : Query configuration ( Optional [ Configuration ] ) : HDX configurat...
resources = [ ] resource = Resource ( configuration = configuration ) success , result = resource . _read_from_hdx ( 'resource' , query , 'query' , Resource . actions ( ) [ 'search' ] ) if result : count = result . get ( 'count' , None ) if count : for resourcedict in result [ 'results' ] : ...
def corr ( dataset , column , method = "pearson" ) : """Compute the correlation matrix with specified method using dataset . : param dataset : A Dataset or a DataFrame . : param column : The name of the column of vectors for which the correlation coefficient needs to be computed . This must be a column of...
sc = SparkContext . _active_spark_context javaCorrObj = _jvm ( ) . org . apache . spark . ml . stat . Correlation args = [ _py2java ( sc , arg ) for arg in ( dataset , column , method ) ] return _java2py ( sc , javaCorrObj . corr ( * args ) )
def save_to_json ( self ) : """The method saves DatasetUpload to json from object"""
requestvalues = { 'DatasetId' : self . dataset , 'Name' : self . name , 'Description' : self . description , 'Source' : self . source , 'PubDate' : self . publication_date , 'AccessedOn' : self . accessed_on , 'Url' : self . dataset_ref , 'UploadFormatType' : self . upload_format_type , 'Columns' : self . columns , 'Fi...
def _cooked_fields ( self , dj_fields ) : """Returns a tuple of cooked fields : param dj _ fields : a list of django name fields : return :"""
from django . db import models valids = [ ] for field in dj_fields : try : dj_field , _ , _ , _ = self . model . _meta . get_field_by_name ( field ) if isinstance ( dj_field , models . ForeignKey ) : valids . append ( ( field + "_id" , field , dj_field ) ) else : vali...
def sent_tokenize ( text : str , engine : str = "whitespace+newline" ) -> List [ str ] : """This function does not yet automatically recognize when a sentence actually ends . Rather it helps split text where white space and a new line is found . : param str text : the text to be tokenized : param str engine : c...
if not text or not isinstance ( text , str ) : return [ ] sentences = [ ] if engine == "whitespace" : sentences = re . split ( r" +" , text , re . U ) else : # default , use whitespace + newline sentences = text . split ( ) return sentences
def validate_node_sign ( signature_node , elem , cert = None , fingerprint = None , fingerprintalg = 'sha1' , validatecert = False , debug = False ) : """Validates a signature node . : param signature _ node : The signature node : type : Node : param xml : The element we should validate : type : Document ...
if ( cert is None or cert == '' ) and fingerprint : x509_certificate_nodes = OneLogin_Saml2_XML . query ( signature_node , '//ds:Signature/ds:KeyInfo/ds:X509Data/ds:X509Certificate' ) if len ( x509_certificate_nodes ) > 0 : x509_certificate_node = x509_certificate_nodes [ 0 ] x509_cert_value = O...
def Churchill_1977 ( Re , eD ) : r'''Calculates Darcy friction factor using the method in Churchill and (1977 ) [ 2 ] _ as shown in [ 1 ] _ . . . math : : f _ f = 2 \ left [ ( \ frac { 8 } { Re } ) ^ { 12 } + ( A _ 2 + A _ 3 ) ^ { - 1.5 } \ right ] ^ { 1/12} . . math : : A _ 2 = \ left \ { 2.457 \ ln \ le...
A3 = ( 37530 / Re ) ** 16 A2 = ( 2.457 * log ( ( 7. / Re ) ** 0.9 + 0.27 * eD ) ) ** 16 ff = 2 * ( ( 8 / Re ) ** 12 + 1 / ( A2 + A3 ) ** 1.5 ) ** ( 1 / 12. ) return 4 * ff
def parse_list_parts ( data , bucket_name , object_name , upload_id ) : """Parser for list parts response . : param data : Response data for list parts . : param bucket _ name : Response for the bucket . : param object _ name : Response for the object . : param upload _ id : Upload id of object name for t...
root = S3Element . fromstring ( 'ListPartsResult' , data ) is_truncated = root . get_child_text ( 'IsTruncated' ) . lower ( ) == 'true' part_marker = root . get_child_text ( 'NextPartNumberMarker' , strict = False ) parts = [ UploadPart ( bucket_name , object_name , upload_id , part . get_int_elem ( 'PartNumber' ) , pa...
def _registerHandler ( self , handler ) : """Registers a handler . : param handler : A handler object ."""
self . _logger . addHandler ( handler ) self . _handlers . append ( handler )
def getServiceMessages ( self , remote ) : """Get service messages from CCU / Homegear"""
try : return self . proxies [ "%s-%s" % ( self . _interface_id , remote ) ] . getServiceMessages ( ) except Exception as err : LOG . debug ( "ServerThread.getServiceMessages: Exception: %s" % str ( err ) )
def float_str ( f , min_digits = 2 , max_digits = 6 ) : """Returns a string representing a float , where the number of significant digits is min _ digits unless it takes more digits to hit a non - zero digit ( and the number is 0 < x < 1 ) . We stop looking for a non - zero digit after max _ digits ."""
if f >= 1 or f <= 0 : return str ( round_float ( f , min_digits ) ) start_str = str ( round_float ( f , max_digits ) ) digits = start_str . split ( "." ) [ 1 ] non_zero_indices = [ ] for i , digit in enumerate ( digits ) : if digit != "0" : non_zero_indices . append ( i + 1 ) # Only saw 0s . if len ( no...
def strides ( self , time = None , spatial = None ) : """Set time and / or spatial ( horizontal ) strides . This is only used on grid requests . Used to skip points in the returned data . This modifies the query in - place , but returns ` self ` so that multiple queries can be chained together on one line . ...
if time : self . add_query_parameter ( timeStride = time ) if spatial : self . add_query_parameter ( horizStride = spatial ) return self
def reload ( self ) : """Reload notmuch and alot config files"""
self . read_notmuch_config ( self . _notmuchconfig . filename ) self . read_config ( self . _config . filename )
def get ( no_create = False , server = None , port = None , force_uuid = None ) : """Get the thread local singleton"""
pid = os . getpid ( ) thread = threading . current_thread ( ) wdb = Wdb . _instances . get ( ( pid , thread ) ) if not wdb and not no_create : wdb = object . __new__ ( Wdb ) Wdb . __init__ ( wdb , server , port , force_uuid ) wdb . pid = pid wdb . thread = thread Wdb . _instances [ ( pid , thread ) ...
def truncate ( text , length = 50 , ellipsis = '...' ) : """Returns a truncated version of the inputted text . : param text | < str > length | < int > ellipsis | < str > : return < str >"""
text = nativestring ( text ) return text [ : length ] + ( text [ length : ] and ellipsis )
def cached ( key = None , extradata = { } ) : '''Decorator used for caching .'''
def decorator ( f ) : @ wraps ( f ) def wrapper ( * args , ** kwargs ) : uid = key if not uid : from hashlib import md5 arguments = list ( args ) + [ ( a , kwargs [ a ] ) for a in sorted ( kwargs . keys ( ) ) ] uid = md5 ( str ( arguments ) ) . hexdigest ( ) ...
def _encode_mapping ( name , value , check_keys , opts ) : """Encode a mapping type ."""
data = b"" . join ( [ _element_to_bson ( key , val , check_keys , opts ) for key , val in iteritems ( value ) ] ) return b"\x03" + name + _PACK_INT ( len ( data ) + 5 ) + data + b"\x00"
def cosmetics ( flat1 , flat2 = None , mask = None , lowercut = 6.0 , uppercut = 6.0 , siglev = 2.0 ) : """Find cosmetic defects in a detector using two flat field images . Two arrays representing flat fields of different exposure times are required . Cosmetic defects are selected as points that deviate signi...
if flat2 is None : flat1 , flat2 = flat2 , flat1 flat1 = numpy . ones_like ( flat2 ) if type ( mask ) is not numpy . ndarray : mask = numpy . zeros ( flat1 . shape , dtype = 'int' ) ratio , mask = comp_ratio ( flat1 , flat2 , mask ) fratio1 = ratio [ ~ mask ] central = numpy . median ( fratio1 ) std = robus...
def _validate_fname ( fname , arg_name ) : """Validate that a string is a valid file name ."""
if fname is not None : msg = "Argument `{0}` is not valid" . format ( arg_name ) if ( not isinstance ( fname , str ) ) or ( isinstance ( fname , str ) and ( "\0" in fname ) ) : raise RuntimeError ( msg ) try : if not os . path . exists ( fname ) : os . access ( fname , os . W_OK ...
def setNetworkIDTimeout ( self , iNwkIDTimeOut ) : """set networkid timeout for Thread device Args : iNwkIDTimeOut : a given NETWORK _ ID _ TIMEOUT Returns : True : successful to set NETWORK _ ID _ TIMEOUT False : fail to set NETWORK _ ID _ TIMEOUT"""
print '%s call setNetworkIDTimeout' % self . port print iNwkIDTimeOut iNwkIDTimeOut /= 1000 try : cmd = 'networkidtimeout %s' % str ( iNwkIDTimeOut ) print cmd return self . __sendCommand ( cmd ) [ 0 ] == 'Done' except Exception , e : ModuleHelper . WriteIntoDebugLogger ( "setNetworkIDTimeout() Error: "...
def all ( cls ) : """Get all informations about this account"""
account = cls . info ( ) creditusage = cls . creditusage ( ) if not creditusage : return account left = account [ 'credits' ] / creditusage years , hours = divmod ( left , 365 * 24 ) months , hours = divmod ( hours , 31 * 24 ) days , hours = divmod ( hours , 24 ) account . update ( { 'credit_usage' : creditusage , ...
def pxform ( fromstr , tostr , et ) : """Return the matrix that transforms position vectors from one specified frame to another at a specified epoch . http : / / naif . jpl . nasa . gov / pub / naif / toolkit _ docs / C / cspice / pxform _ c . html : param fromstr : Name of the frame to transform from . : t...
et = ctypes . c_double ( et ) tostr = stypes . stringToCharP ( tostr ) fromstr = stypes . stringToCharP ( fromstr ) rotatematrix = stypes . emptyDoubleMatrix ( ) libspice . pxform_c ( fromstr , tostr , et , rotatematrix ) return stypes . cMatrixToNumpy ( rotatematrix )
def standard_deviation ( data , period ) : """Standard Deviation . Formula : std = sqrt ( avg ( abs ( x - avg ( x ) ) ^ 2 ) )"""
catch_errors . check_for_period_error ( data , period ) stds = [ np . std ( data [ idx + 1 - period : idx + 1 ] , ddof = 1 ) for idx in range ( period - 1 , len ( data ) ) ] stds = fill_for_noncomputable_vals ( data , stds ) return stds
def add_semantic_hub_layout ( cx , hub ) : """Attach a layout aspect to a CX network given a hub node ."""
graph = cx_to_networkx ( cx ) hub_node = get_node_by_name ( graph , hub ) node_classes = classify_nodes ( graph , hub_node ) layout_aspect = get_layout_aspect ( hub_node , node_classes ) cx [ 'cartesianLayout' ] = layout_aspect
def message ( self , phone_number , message , message_type , ** params ) : """Send a message to the target phone _ number . See https : / / developer . telesign . com / docs / messaging - api for detailed API documentation ."""
return self . post ( MESSAGING_RESOURCE , phone_number = phone_number , message = message , message_type = message_type , ** params )
def jsName ( path , name ) : '''Returns a name string without \ , - , and . so that the string will play nicely with javascript .'''
shortPath = path . replace ( "C:\\Users\\scheinerbock\\Desktop\\" + "ideogram\\scrapeSource\\test\\" , "" ) noDash = shortPath . replace ( "-" , "_dash_" ) jsPath = noDash . replace ( "\\" , "_slash_" ) . replace ( "." , "_dot_" ) jsName = jsPath + '_slash_' + name return jsName
def sequence_to_alignment_coords ( self , seq_name , start , end , trim = False ) : """convert an interval in one of the sequences into an interval in the alignment . Alignment intervals are inclusive of start , but not end . They are one - based . Hence the full alignment has coords [ 1 , N + 1 ) , where N is ...
# check for valid order of start / end if end <= start : raise InvalidSequenceCoordinatesError ( "invalid region: " + str ( start ) + ", " + str ( end ) ) seq = self [ seq_name ] s_start = seq . start s_end = seq . end pos_strand = seq . is_positive_strand ( ) # check that the start and end coords are at least part...
def main ( argv = None ) : '''Execute the " intake " command line program .'''
from intake . cli . bootstrap import main as _main return _main ( 'Intake Catalog CLI' , subcommands . all , argv or sys . argv )
def add_it ( workbench , file_list , labels ) : """Add the given file _ list to workbench as samples , also add them as nodes . Args : workbench : Instance of Workbench Client . file _ list : list of files . labels : labels for the nodes . Returns : A list of md5s ."""
md5s = [ ] for filename in file_list : if filename != '.DS_Store' : with open ( filename , 'rb' ) as pe_file : base_name = os . path . basename ( filename ) md5 = workbench . store_sample ( pe_file . read ( ) , base_name , 'exe' ) workbench . add_node ( md5 , md5 [ : 6 ] ...
def mutate ( self ) : """Mutates code ."""
# Choose a random position if len ( self . code ) == 0 : return index = random . randint ( 0 , len ( self . code ) - 1 ) mutation_type = random . random ( ) if mutation_type < 0.5 : # Change self . code [ index ] = self . new ( ) . randomize ( ) . code [ 0 ] elif mutation_type < 0.75 : # Deletion del self ....
def get_relation_count_query ( self , query , parent ) : """Add the constraints for a relationship count query . : type query : orator . orm . Builder : type parent : orator . orm . Builder : rtype : orator . orm . Builder"""
if parent . get_query ( ) . from__ == query . get_query ( ) . from__ : return self . get_relation_count_query_for_self_join ( query , parent ) self . _set_join ( query ) return super ( BelongsToMany , self ) . get_relation_count_query ( query , parent )
def _uncythonized_model ( self , beta ) : """Creates the structure of the model Parameters beta : np . array Contains untransformed starting values for latent variables Returns theta : np . array Contains the predicted values for the time series Y : np . array Contains the length - adjusted time ser...
parm = np . array ( [ self . latent_variables . z_list [ k ] . prior . transform ( beta [ k ] ) for k in range ( beta . shape [ 0 ] ) ] ) theta = np . zeros ( self . model_Y . shape [ 0 ] ) model_scale , model_shape , model_skewness = self . _get_scale_and_shape ( parm ) # Loop over time series theta , self . model_sco...
def ray_triangle_id ( triangles , ray_origins , ray_directions , triangles_normal = None , tree = None , multiple_hits = True ) : """Find the intersections between a group of triangles and rays Parameters triangles : ( n , 3 , 3 ) float Triangles in space ray _ origins : ( m , 3 ) float Ray origin points ...
triangles = np . asanyarray ( triangles , dtype = np . float64 ) ray_origins = np . asanyarray ( ray_origins , dtype = np . float64 ) ray_directions = np . asanyarray ( ray_directions , dtype = np . float64 ) # if we didn ' t get passed an r - tree for the bounds of each # triangle create one here if tree is None : ...
def flatten ( l ) : '''Flatten a multi - deminision list and return a iterable Note that dict and str will not be expanded , instead , they will be kept as a single element . Args : l ( list ) : The list needs to be flattened Returns : A iterable of flattened list . To have a list instead use ` ` list ( f...
for el in l : # I don ; t want dict to be flattened if isinstance ( el , Iterable ) and not isinstance ( el , ( str , bytes ) ) and not isinstance ( el , dict ) : yield from flatten ( el ) else : yield el
def old_format ( self , content : BeautifulSoup ) -> List [ str ] : """Extracts email message information if it uses the old Mailman format Args : content : BeautifulSoup Returns : List [ str ]"""
b = content . find ( 'body' ) sender , date , nxt , rep_to = None , None , None , None strongs = b . findAll ( 'strong' , recursive = False ) for s in strongs : field = str ( s ) . split ( ">" ) [ 1 ] . split ( "<" ) [ 0 ] if 'From' in field : sender = s . next_sibling . split ( "(" ) [ 0 ] . strip ( ) ...
def hex_color_to_tuple ( hex ) : """convent hex color to tuple " # fffff " - > ( 255 , 255 , 255) " # ffff00ff " - > ( 255 , 255 , 0 , 255)"""
hex = hex [ 1 : ] length = len ( hex ) // 2 return tuple ( int ( hex [ i * 2 : i * 2 + 2 ] , 16 ) for i in range ( length ) )
def run_track ( track , result_hosts = None , crate_root = None , output_fmt = None , logfile_info = None , logfile_result = None , failfast = False , sample_mode = 'reservoir' ) : """Execute a track file"""
with Logger ( output_fmt = output_fmt , logfile_info = logfile_info , logfile_result = logfile_result ) as log : executor = Executor ( track_dir = os . path . dirname ( track ) , log = log , result_hosts = result_hosts , crate_root = crate_root , fail_fast = failfast , sample_mode = sample_mode ) error = execut...
def consume_all ( self , max_loops = None ) : """Consume the streamed responses until there are no more . . . warning : : This method will be removed in future releases . Please use this class as a generator instead . : type max _ loops : int : param max _ loops : ( Optional ) Maximum number of times to t...
for row in self : self . rows [ row . row_key ] = row
def _check ( self ) : """Validates model parameters prior to fitting . Raises ValueError If any of the parameters are invalid , e . g . if : attr : ` startprob _ ` don ' t sum to 1."""
self . startprob_ = np . asarray ( self . startprob_ ) if len ( self . startprob_ ) != self . n_components : raise ValueError ( "startprob_ must have length n_components" ) if not np . allclose ( self . startprob_ . sum ( ) , 1.0 ) : raise ValueError ( "startprob_ must sum to 1.0 (got {:.4f})" . format ( self ....
def deployment_delete ( name , resource_group , ** kwargs ) : '''. . versionadded : : 2019.2.0 Delete a deployment . : param name : The name of the deployment to delete . : param resource _ group : The resource group name assigned to the deployment . CLI Example : . . code - block : : bash salt - call...
result = False resconn = __utils__ [ 'azurearm.get_client' ] ( 'resource' , ** kwargs ) try : deploy = resconn . deployments . delete ( deployment_name = name , resource_group_name = resource_group ) deploy . wait ( ) result = True except CloudError as exc : __utils__ [ 'azurearm.log_cloud_error' ] ( 'r...
def zstack_array ( self , s = 0 , c = 0 , t = 0 ) : """Return zstack as a : class : ` numpy . ndarray ` . : param s : series : param c : channel : param t : timepoint : returns : zstack as a : class : ` numpy . ndarray `"""
return np . dstack ( [ x . image for x in self . zstack_proxy_iterator ( s = s , c = c , t = t ) ] )
def param_set_send ( self , parm_name , parm_value , parm_type = None ) : '''wrapper for parameter set'''
if self . mavlink10 ( ) : if parm_type == None : parm_type = mavlink . MAVLINK_TYPE_FLOAT self . mav . param_set_send ( self . target_system , self . target_component , parm_name , parm_value , parm_type ) else : self . mav . param_set_send ( self . target_system , self . target_component , parm_nam...
def _loads ( self , string ) : """If : prop : serialized is True , @ string will be unserialized using : prop : serializer"""
if not self . serialized : return self . _decode ( string ) if string is not None : try : return self . serializer . loads ( string ) except TypeError : # : catches bytes errors with the builtin json library return self . serializer . loads ( self . _decode ( string ) ) except pickle . U...
def import_events ( self , source = 'wonambi' ) : """action : import events from text file ( Wonambi or RemLogic ) ."""
if self . annot is None : # remove if buttons are disabled self . parent . statusBar ( ) . showMessage ( 'No score file loaded' ) return if 'wonambi' == source : format_str = 'CSV File (*.csv)' rec_start = None elif 'remlogic' == source : format_str = 'Text file (*.txt)' rec_start = self . paren...
def configure_scraper ( self , scraper_config ) : """Configures a PrometheusScaper object with query credentials : param scraper : valid PrometheusScaper object : param endpoint : url that will be scraped"""
endpoint = scraper_config [ 'prometheus_url' ] scraper_config . update ( { 'ssl_ca_cert' : self . _ssl_verify , 'ssl_cert' : self . _ssl_cert , 'ssl_private_key' : self . _ssl_private_key , 'extra_headers' : self . headers ( endpoint ) or { } , } )
def _get_args ( self , kwargs ) : '''Discard all keywords which aren ' t function - specific from the kwargs . : param kwargs : : return :'''
_args = list ( ) _kwargs = salt . utils . args . clean_kwargs ( ** kwargs ) return _args , _kwargs
def _build_endpoint ( self , endpoint_name ) : """Generate an enpoint url from a setting name . Args : endpoint _ name ( str ) : setting name for the enpoint to build Returns : ( str ) url enpoint"""
endpoint_relative = settings . get ( 'asmaster_endpoints' , endpoint_name ) return '%s%s' % ( self . host , endpoint_relative )
def _asStr ( self ) : '''_ asStr - Get the string representation of this style @ return < str > - A string representation of this style ( semicolon separated , key : value format )'''
styleDict = self . _styleDict if styleDict : return '; ' . join ( [ name + ': ' + value for name , value in styleDict . items ( ) ] ) return ''
def fmt_ac_sia ( ac_sia ) : """Format a AcSystemIrreducibilityAnalysis ."""
body = ( '{ALPHA} = {alpha}\n' 'direction: {ac_sia.direction}\n' 'transition: {ac_sia.transition}\n' 'before state: {ac_sia.before_state}\n' 'after state: {ac_sia.after_state}\n' 'cut:\n{ac_sia.cut}\n' '{account}\n' '{partitioned_account}' . format ( ALPHA = ALPHA , alpha = round ( ac_sia . alpha , 4 ) , ac_sia = ac_si...
def nl_cb_err ( cb , kind , func , arg ) : """Set up an error callback . Updates ` cb ` in place . https : / / github . com / thom311 / libnl / blob / libnl3_2_25 / lib / handlers . c # L343 Positional arguments : cb - - nl _ cb class instance . kind - - kind of callback ( integer ) . func - - callback fu...
if kind < 0 or kind > NL_CB_KIND_MAX : return - NLE_RANGE if kind == NL_CB_CUSTOM : cb . cb_err = func cb . cb_err_arg = arg else : cb . cb_err = cb_err_def [ kind ] cb . cb_err_arg = arg return 0
def _create_signing_params ( self , url , keypair_id , expire_time = None , valid_after_time = None , ip_address = None , policy_url = None , private_key_file = None , private_key_string = None ) : """Creates the required URL parameters for a signed URL ."""
params = { } # Check if we can use a canned policy if expire_time and not valid_after_time and not ip_address and not policy_url : # we manually construct this policy string to ensure formatting # matches signature policy = self . _canned_policy ( url , expire_time ) params [ "Expires" ] = str ( expire_time ) e...