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def acquire_discharge ( self , cav , payload ) : '''Request a discharge macaroon from the caveat location as an HTTP URL . @ param cav Third party { pymacaroons . Caveat } to be discharged . @ param payload External caveat data { bytes } . @ return The acquired macaroon { macaroonbakery . Macaroon }'''
resp = self . _acquire_discharge_with_token ( cav , payload , None ) # TODO Fabrice what is the other http response possible ? ? if resp . status_code == 200 : return bakery . Macaroon . from_dict ( resp . json ( ) . get ( 'Macaroon' ) ) cause = Error . from_dict ( resp . json ( ) ) if cause . code != ERR_INTERACTI...
def query_one ( cls , * args , ** kwargs ) : """Same as collection . find _ one , but return Document then dict"""
doc = cls . _coll . find_one ( * args , ** kwargs ) if doc : return cls . from_storage ( doc )
def check_platform ( self , dataset ) : '''int platform _ variable ; / / . . . . . RECOMMENDED - a container variable storing information about the platform . If more than one , can expand each attribute into a variable . For example , platform _ call _ sign and platform _ nodc _ code . See instrument _ parameter _...
# Check for the platform variable platforms = util . get_platform_variables ( dataset ) if not platforms : return Result ( BaseCheck . MEDIUM , False , 'A container variable storing information about the platform exists' , [ 'Create a variable to store the platform information' ] ) results = [ ] for platform in pla...
def find_distributions ( path_item , only = False ) : """Yield distributions accessible via ` path _ item `"""
importer = get_importer ( path_item ) finder = _find_adapter ( _distribution_finders , importer ) return finder ( importer , path_item , only )
def _markup ( self , entry ) : """Recursively generates HTML for the current entry . Parameters entry : object Object to convert to HTML . Maybe be a single entity or contain multiple and / or nested objects . Returns str String of HTML formatted json ."""
if entry is None : return "" if isinstance ( entry , list ) : list_markup = "<ul>" for item in entry : list_markup += "<li>{:s}</li>" . format ( self . _markup ( item ) ) list_markup += "</ul>" return list_markup if isinstance ( entry , dict ) : return self . convert ( entry ) # default ...
def connect ( self , force = False ) : '''Establish a connection'''
# Don ' t re - establish existing connections if not force and self . alive ( ) : return True self . _reset ( ) # Otherwise , try to connect with self . _socket_lock : try : logger . info ( 'Creating socket...' ) self . _socket = socket . socket ( socket . AF_INET , socket . SOCK_STREAM ) ...
def get_ZXY_freqs ( Data , zfreq , xfreq , yfreq , bandwidth = 5000 ) : """Determines the exact z , x and y peak frequencies from approximate frequencies by finding the highest peak in the PSD " close to " the approximate peak frequency . By " close to " I mean within the range : approxFreq - bandwidth / 2 to...
trapfreqs = [ ] for freq in [ zfreq , xfreq , yfreq ] : z_f_fit_lower = take_closest ( Data . freqs , freq - bandwidth / 2 ) z_f_fit_upper = take_closest ( Data . freqs , freq + bandwidth / 2 ) z_indx_fit_lower = int ( _np . where ( Data . freqs == z_f_fit_lower ) [ 0 ] [ 0 ] ) z_indx_fit_upper = int ( ...
def _get_model_nodes ( self , model ) : """Find all the non - auto created nodes of the model ."""
nodes = [ ( name , node ) for name , node in model . _nodes . items ( ) if node . _is_auto_created is False ] nodes . sort ( key = lambda n : n [ 0 ] ) return nodes
def _maintain_dep_graph ( self , p_todo ) : """Makes sure that the dependency graph is consistent according to the given todo ."""
dep_id = p_todo . tag_value ( 'id' ) # maintain dependency graph if dep_id : self . _parentdict [ dep_id ] = p_todo self . _depgraph . add_node ( hash ( p_todo ) ) # connect all tasks we have in memory so far that refer to this # task for dep in [ dep for dep in self . _todos if dep . has_tag ( 'p' ...
def ask_int ( msg = "Enter an integer" , dft = None , vld = None , hlp = None ) : """Prompts the user for an integer ."""
vld = vld or [ int ] return ask ( msg , dft = dft , vld = vld , fmt = partial ( cast , typ = int ) , hlp = hlp )
def pos ( self , element = None ) : '''Tries to decide about the part of speech .'''
tags = [ ] if element : if re . search ( '[\w|\s]+ [m|f]\.' , element , re . U ) : tags . append ( 'NN' ) if '[VERB]' in element : tags . append ( 'VB' ) if 'adj.' in element and re . search ( '([\w|\s]+, [\w|\s]+)' , element , re . U ) : tags . append ( 'JJ' ) else : for element...
def get_order_in_album ( self , reversed_ordering = True ) : '''Returns image order number . It is calculated as ( number + 1 ) of images attached to the same content _ object whose order is greater ( if ' reverse _ ordering ' is True ) or lesser ( if ' reverse _ ordering ' is False ) than image ' s order .''...
lookup = 'order__gt' if reversed_ordering else 'order__lt' return self . __class__ . objects . for_model ( self . content_object , self . content_type ) . filter ( ** { lookup : self . order } ) . count ( ) + 1
def calculate_size ( name , replica_timestamps , target_replica ) : """Calculates the request payload size"""
data_size = 0 data_size += calculate_size_str ( name ) data_size += INT_SIZE_IN_BYTES for replica_timestamps_item in replica_timestamps : key = replica_timestamps_item [ 0 ] val = replica_timestamps_item [ 1 ] data_size += calculate_size_str ( key ) data_size += LONG_SIZE_IN_BYTES data_size += calculate...
def PushBack ( self , string = "" , ** _ ) : """Push the match back on the stream ."""
precondition . AssertType ( string , Text ) self . buffer = string + self . buffer self . processed_buffer = self . processed_buffer [ : - len ( string ) ]
def isUserCert ( self , name ) : '''Checks if a user certificate exists . Args : name ( str ) : The name of the user keypair . Examples : Check if the user cert " myuser " exists : exists = cdir . isUserCert ( ' myuser ' ) Returns : bool : True if the certificate is present , False otherwise .'''
crtpath = self . _getPathJoin ( 'users' , '%s.crt' % name ) return os . path . isfile ( crtpath )
def fetch_metric ( self , cursor , results , tags ) : '''Because we need to query the metrics by matching pairs , we can ' t query all of them together without having to perform some matching based on the name afterwards so instead we query instance by instance . We cache the list of instance so that we don '...
if self . sql_name not in results : self . log . warning ( "Couldn't find {} in results" . format ( self . sql_name ) ) return tags = tags + self . tags results_list = results [ self . sql_name ] done_instances = [ ] for ndx , row in enumerate ( results_list ) : ctype = row [ 0 ] cval = row [ 1 ] in...
def getEdges ( self , fromVol ) : """Return the edges available from fromVol ."""
return [ self . toObj . diff ( diff ) for diff in self . _client . getEdges ( self . toArg . vol ( fromVol ) ) ]
def render_pdf ( template , file_ , url_fetcher = staticfiles_url_fetcher , context = None , ) : """Writes the PDF data into ` ` file _ ` ` . Note that ` ` file _ ` ` can actually be a Django Response object as well . This function may be used as a helper that can be used to save a PDF file to a file ( or any...
context = context or { } html = get_template ( template ) . render ( context ) HTML ( string = html , base_url = 'not-used://' , url_fetcher = url_fetcher , ) . write_pdf ( target = file_ , )
def sanitizeparameters ( parameters ) : """Construct a dictionary of parameters , for internal use only"""
if not isinstance ( parameters , dict ) : d = { } for x in parameters : if isinstance ( x , tuple ) and len ( x ) == 2 : for parameter in x [ 1 ] : d [ parameter . id ] = parameter elif isinstance ( x , clam . common . parameters . AbstractParameter ) : d ...
def _gap ( src_interval , tar_interval ) : """Refer section 3.1 ; gap function . : param src _ interval : first argument or interval 1 : param tar _ interval : second argument or interval 2 : return : Interval representing gap between two intervals"""
assert src_interval . bits == tar_interval . bits , "Number of bits should be same for operands" # use the same variable names as in paper s = src_interval t = tar_interval ( _ , b ) = ( s . lower_bound , s . upper_bound ) ( c , _ ) = ( t . lower_bound , t . upper_bound ) w = s . bits # case 1 if ( not t . _surrounds_m...
def method_codes_to_geomagia ( magic_method_codes , geomagia_table ) : """Looks at the MagIC method code list and returns the correct GEOMAGIA code number depending on the method code list and the GEOMAGIA table specified . Returns O , GEOMAGIA ' s " Not specified " value , if no match . When mutiple codes are ...
codes = magic_method_codes geomagia = geomagia_table . lower ( ) geomagia_code = '0' if geomagia == 'alteration_monit_corr' : if "DA-ALT-V" or "LP-PI-ALT-PTRM" or "LP-PI-ALT-PMRM" in codes : geomagia_code = '1' elif "LP-PI-ALT-SUSC" in codes : geomagia_code = '2' elif "DA-ALT-RS" or "LP-PI-A...
def _set_version ( self , version ) : '''Set up this object based on the capabilities of the known versions of Redmine'''
# Store the version we are evaluating self . version = version or None # To evaluate the version capabilities , # assume the best - case if no version is provided . version_check = version or 9999.0 if version_check < 1.0 : raise RedmineError ( 'This library will only work with ' 'Redmine version 1.0 and higher.' )...
def verify ( self ) : """Ensure all expected calls were called , raise AssertionError otherwise . You do not need to use this directly . Use fudge . verify ( )"""
try : for exp in self . get_expected_calls ( ) : exp . assert_called ( ) exp . assert_times_called ( ) for fake , call_order in self . get_expected_call_order ( ) . items ( ) : call_order . assert_order_met ( finalize = True ) finally : self . clear_calls ( )
def total_review_average ( obj , normalize_to = 100 ) : """Returns the average for all reviews of the given object ."""
ctype = ContentType . objects . get_for_model ( obj ) total_average = 0 reviews = models . Review . objects . filter ( content_type = ctype , object_id = obj . id ) for review in reviews : total_average += review . get_average_rating ( normalize_to ) if reviews : total_average /= reviews . count ( ) return tota...
async def serialize_rctsig_prunable ( self , ar , type , inputs , outputs , mixin ) : """Serialize rct sig : param ar : : type ar : x . Archive : param type : : param inputs : : param outputs : : param mixin : : return :"""
if type == RctType . Null : return True if type != RctType . Full and type != RctType . Bulletproof and type != RctType . Simple and type != RctType . Bulletproof2 : raise ValueError ( 'Unknown type' ) if is_rct_bp ( type ) : await ar . tag ( 'bp' ) await ar . begin_array ( ) bps = [ 0 ] if ar ....
def _stopOnFailure ( self , f ) : "utility method to stop the service when a failure occurs"
if self . running : d = defer . maybeDeferred ( self . stopService ) d . addErrback ( log . err , 'while stopping broken HgPoller service' ) return f
def ProcessListDirectory ( self , responses ) : """Processes the results of the ListDirectory client action . Args : responses : a flow Responses object ."""
if not responses . success : raise flow . FlowError ( "Unable to list directory." ) with data_store . DB . GetMutationPool ( ) as pool : for response in responses : stat_entry = rdf_client_fs . StatEntry ( response ) filesystem . CreateAFF4Object ( stat_entry , self . client_urn , pool , token =...
def check_syntax ( code ) : """Return True if syntax is okay ."""
try : return compile ( code , '<string>' , 'exec' , dont_inherit = True ) except ( SyntaxError , TypeError , ValueError ) : return False
def find_one ( self , query = None ) : """Equivalent to ` ` find ( query , limit = 1 ) [ 0 ] ` `"""
try : return self . find ( query = query , limit = 1 ) [ 0 ] except ( sqlite3 . OperationalError , IndexError ) : return None
def translate_key_val ( val , delimiter = '=' ) : '''CLI input is a list of key / val pairs , but the API expects a dictionary in the format { key : val }'''
if isinstance ( val , dict ) : return val val = translate_stringlist ( val ) new_val = { } for item in val : try : lvalue , rvalue = split ( item , delimiter , 1 ) except ( AttributeError , TypeError , ValueError ) : raise SaltInvocationError ( '\'{0}\' is not a key{1}value pair' . format ( ...
def mainline ( self ) : """Returns the main line of the game ( variation A ) as a ' GameTree ' ."""
if self . variations : return GameTree ( self . data + self . variations [ 0 ] . mainline ( ) ) else : return self
def get_iex_next_day_ex_date ( start = None , ** kwargs ) : """MOVED to iexfinance . refdata . get _ iex _ next _ day _ ex _ date"""
import warnings warnings . warn ( WNG_MSG % ( "get_iex_next_day_ex_date" , "refdata.get_iex_next_day_ex_date" ) ) return NextDay ( start = start , ** kwargs ) . fetch ( )
def _main ( ) : """Usage : tabulate [ options ] [ FILE . . . ] Pretty - print tabular data . See also https : / / bitbucket . org / astanin / python - tabulate FILE a filename of the file with tabular data ; if " - " or missing , read data from stdin . Options : - h , - - help show this message -1 , -...
import getopt import sys import textwrap usage = textwrap . dedent ( _main . __doc__ ) try : opts , args = getopt . getopt ( sys . argv [ 1 : ] , "h1o:s:F:f:" , [ "help" , "header" , "output" , "sep=" , "float=" , "format=" ] ) except getopt . GetoptError as e : print ( e ) print ( usage ) sys . exit ( ...
def read_plugin_config ( self ) : """Read plugin - specific configuration values ."""
folders = self . config [ "pluginfolders" ] modules = plugins . get_plugin_modules ( folders ) for pluginclass in plugins . get_plugin_classes ( modules ) : section = pluginclass . __name__ if self . has_section ( section ) : self . config [ "enabledplugins" ] . append ( section ) self . config ...
def lstsq ( a , b , rcond = None , weighted = False , extrainfo = False ) : """Least - squares solution ` ` x ` ` to ` ` a @ x = b ` ` for | GVar | \ s . Here ` ` x ` ` is defined to be the solution that minimizes ` ` | | b - a @ x | | ` ` . If ` ` b ` ` has a covariance matrix , another option is to weight the...
a = numpy . asarray ( a ) b = numpy . asarray ( b ) if a . ndim != 2 : raise ValueError ( 'a must have dimension 2: actual shape = ' + str ( a . shape ) ) if a . shape [ 0 ] != b . shape [ 0 ] : raise ValueError ( 'a and b shapes mismatched: {} vs {}' . format ( a . shape , b . shape ) ) if rcond is None : ...
def page_template ( template , key = PAGE_LABEL ) : """Return a view dynamically switching template if the request is Ajax . Decorate a view that takes a * template * and * extra _ context * keyword arguments ( like generic views ) . The template is switched to * page _ template * if request is ajax and if ...
def decorator ( view ) : @ wraps ( view ) def decorated ( request , * args , ** kwargs ) : # Trust the developer : he wrote ` ` context . update ( extra _ context ) ` ` # in his view . extra_context = kwargs . setdefault ( 'extra_context' , { } ) extra_context [ 'page_template' ] = template ...
def distribute ( self , f , n ) : """Distribute the computations amongst the multiprocessing pools Parameters f : function Function to be distributed to the processors n : int The values in range ( 0 , n ) will be passed as arguments to the function f ."""
if self . pool is None : return [ f ( i ) for i in range ( n ) ] else : return self . pool . map ( f , range ( n ) )
def subset ( self , subset_id ) : """Returns information regarding the set"""
if subset_id in self . subsetcache : return self . subsetcache [ subset_id ] set_uri = self . get_set_uri ( subset_id ) for row in self . graph . query ( "SELECT ?seturi ?setid ?setlabel ?setopen WHERE { ?seturi rdf:type skos:Collection . OPTIONAL { ?seturi skos:notation ?setid } OPTIONAL { ?seturi skos:prefLabel ?...
def _list_items ( action , key , profile = None , subdomain = None , api_key = None ) : '''List items belonging to an API call . This method should be in utils . pagerduty .'''
items = _query ( profile = profile , subdomain = subdomain , api_key = api_key , action = action ) ret = { } for item in items [ action ] : ret [ item [ key ] ] = item return ret
def setup_left_panel ( self ) : """Setup the UI for left panel . Generate all exposure , combobox , and edit button ."""
hazard = self . parent . step_kw_subcategory . selected_subcategory ( ) left_panel_heading = QLabel ( tr ( 'Classifications' ) ) left_panel_heading . setFont ( big_font ) self . left_layout . addWidget ( left_panel_heading ) inner_left_layout = QGridLayout ( ) row = 0 for exposure in exposure_all : special_case = F...
def _get_matplot_dict ( self , option , prop , defdict ) : """Returns a copy of the settings dictionary for the specified option in curargs with update values where the value is replaced by the key from the relevant default dictionary . : arg option : the key in self . curargs to update . : arg defdict : th...
cargs = self . curargs [ option ] result = cargs . copy ( ) for varname in cargs : if prop in cargs [ varname ] : name = cargs [ varname ] [ prop ] for key , val in list ( defdict . items ( ) ) : if val == name : cargs [ varname ] [ prop ] = key break retu...
def setup_storage ( self ) : """Save existing FileField storages and patch them with test instance ( s ) . If storage _ per _ field is False ( default ) this function will create a single instance here and assign it to self . storage to be used for all filefields . If storage _ per _ field is True , an inde...
if self . storage_callable is not None and not self . storage_per_field : self . storage = self . get_storage_from_callable ( field = None ) super ( override_storage , self ) . setup_storage ( )
def entries ( self ) : """Provides access to entry management methods for the given content type . API reference : https : / / www . contentful . com / developers / docs / references / content - management - api / # / reference / entries : return : : class : ` ContentTypeEntriesProxy < contentful _ management ....
return ContentTypeEntriesProxy ( self . _client , self . space . id , self . _environment_id , self . id )
def toList ( self ) : """Returns date as signed list ."""
date = self . date ( ) sign = '+' if date [ 0 ] >= 0 else '-' date [ 0 ] = abs ( date [ 0 ] ) return list ( sign ) + date
def _syncronous_batch_evaluation ( self , x ) : """Evaluates the function a x , where x can be a single location or a batch . The evaluation is performed in parallel according to the number of accessible cores ."""
from multiprocessing import Process , Pipe # - - - parallel evaluation of the function divided_samples = [ x [ i : : self . n_procs ] for i in range ( self . n_procs ) ] pipe = [ Pipe ( ) for i in range ( self . n_procs ) ] proc = [ Process ( target = spawn ( self . _eval_func ) , args = ( c , k ) ) for k , ( p , c ) i...
def make_image ( location , size , fmt ) : '''Create a blank virtual machine image file of the specified size in megabytes . The image can be created in any format supported by qemu CLI Example : . . code - block : : bash salt ' * ' qemu _ img . make _ image / tmp / image . qcow 2048 qcow2 salt ' * ' qemu...
if not os . path . isabs ( location ) : return '' if not os . path . isdir ( os . path . dirname ( location ) ) : return '' if not __salt__ [ 'cmd.retcode' ] ( 'qemu-img create -f {0} {1} {2}M' . format ( fmt , location , size ) , python_shell = False ) : return location return ''
def _spec_trace ( trace , cmap = None , wlen = 0.4 , log = False , trc = 'k' , tralpha = 0.9 , size = ( 10 , 2.5 ) , axes = None , title = None ) : """Function to plot a trace over that traces spectrogram . Uses obspys spectrogram routine . : type trace : obspy . core . trace . Trace : param trace : trace to ...
import matplotlib . pyplot as plt if not axes : fig = plt . figure ( figsize = size ) ax1 = fig . add_subplot ( 111 ) else : ax1 = axes trace . spectrogram ( wlen = wlen , log = log , show = False , cmap = cmap , axes = ax1 ) fig = plt . gcf ( ) ax2 = ax1 . twinx ( ) y = trace . data x = np . linspace ( 0 ,...
def comments ( self , limit = None ) : """GETs newest comments from this subreddit . Calls : meth : ` narwal . Reddit . comments ` . : param limit : max number of links to return"""
return self . _reddit . comments ( self . display_name , limit = limit )
def save_items ( self , rows = None , verbose = False ) : """Return a dictionary of row data for selected rows : {1 : { col1 : val1 , col2 : val2 } , . . . } If a list of row numbers isn ' t provided , get data for all ."""
if rows : rows = rows else : rows = list ( range ( self . GetNumberRows ( ) ) ) cols = list ( range ( self . GetNumberCols ( ) ) ) data = { } for row in rows : data [ row ] = { } for col in cols : col_name = self . GetColLabelValue ( col ) if verbose : print ( col_name , ":" ...
def tolist ( self ) -> List [ bool ] : """Convert the set to a list of 64 bools ."""
result = [ False ] * 64 for square in self : result [ square ] = True return result
def parse_single_report ( f ) : """Parse a gatk varianteval varianteval"""
# Fixme : Separate GATKReport parsing and data subsetting . A GATKReport parser now available from the GATK MultiqcModel . data = dict ( ) in_CompOverlap = False in_CountVariants = False in_TiTv = False for l in f : # Detect section headers if '#:GATKTable:CompOverlap' in l : in_CompOverlap = True elif ...
def update ( self , friendly_name = None , description = None , query = None ) : """Selectively updates View information . Any parameters that are None ( the default ) are not applied in the update . Args : friendly _ name : if not None , the new friendly name . description : if not None , the new descripti...
self . _table . _load_info ( ) if query is not None : if isinstance ( query , _query . Query ) : query = query . sql self . _table . _info [ 'view' ] = { 'query' : query } self . _table . update ( friendly_name = friendly_name , description = description )
def getclientloansurl ( idclient , * args , ** kwargs ) : """Request Client loans URL . How to use it ? By default MambuLoan uses getloansurl as the urlfunc . Override that behaviour by sending getclientloansurl ( this function ) as the urlfunc to the constructor of MambuLoans ( note the final ' s ' ) and v...
getparams = [ ] if kwargs : try : if kwargs [ "fullDetails" ] == True : getparams . append ( "fullDetails=true" ) else : getparams . append ( "fullDetails=false" ) except Exception as ex : pass try : getparams . append ( "accountState=%s" % kwargs [ "a...
def nm_to_rgb ( nm ) : """Convert a wavelength to corresponding RGB values [ 0.0-1.0 ] . Parameters nm : int or float The wavelength of light . Returns List of [ R , G , B ] values between 0 and 1 ` original code ` _ _ _ _ http : / / www . physics . sfasu . edu / astro / color / spectra . html"""
w = int ( nm ) # color - - - - - if w >= 380 and w < 440 : R = - ( w - 440. ) / ( 440. - 350. ) G = 0.0 B = 1.0 elif w >= 440 and w < 490 : R = 0.0 G = ( w - 440. ) / ( 490. - 440. ) B = 1.0 elif w >= 490 and w < 510 : R = 0.0 G = 1.0 B = - ( w - 510. ) / ( 510. - 490. ) elif w >= 51...
def on_epoch_end ( self , last_metrics , ** kwargs ) : "Set the final result in ` last _ metrics ` ."
return add_metrics ( last_metrics , self . val / self . count )
def _submit_rate ( self , metric_name , val , metric , custom_tags = None , hostname = None ) : """Submit a metric as a rate , additional tags provided will be added to the ones from the label provided via the metrics object . ` custom _ tags ` is an array of ' tag : value ' that will be added to the metric w...
_tags = self . _metric_tags ( metric_name , val , metric , custom_tags , hostname ) self . rate ( '{}.{}' . format ( self . NAMESPACE , metric_name ) , val , _tags , hostname = hostname )
def extract_file_from_tar ( bytes_io , expected_file ) : """extract a file from a bytes _ io tar . Returns bytes"""
with open ( 'temp' , 'wb+' ) as f : bytes_io . seek ( 0 ) shutil . copyfileobj ( bytes_io , f , length = 131072 ) tar = tarfile . open ( 'temp' , mode = 'r:gz' ) os . remove ( 'temp' ) return tar . extractfile ( expected_file ) . read ( )
def _get_representative ( self , obj ) : """Finds and returns the root of the set containing ` obj ` ."""
if obj not in self . _parents : self . _parents [ obj ] = obj self . _weights [ obj ] = 1 self . _prev_next [ obj ] = [ obj , obj ] self . _min_values [ obj ] = obj return obj path = [ obj ] root = self . _parents [ obj ] while root != path [ - 1 ] : path . append ( root ) root = self . _par...
def display_system ( sys , style = 'vdw' ) : '''Display the system * sys * with the default viewer .'''
v = QtViewer ( ) # v . add _ post _ processing ( FXAAEffect ) v . add_post_processing ( SSAOEffect ) if style == 'vdw' : sr = v . add_renderer ( AtomRenderer , sys . r_array , sys . type_array , backend = 'impostors' ) if style == 'ball-and-stick' : sr = v . add_renderer ( BallAndStickRenderer , sys . r_array ,...
def _print_topics ( self , header : str , cmds : List [ str ] , verbose : bool ) -> None : """Customized version of print _ topics that can switch between verbose or traditional output"""
import io if cmds : if not verbose : self . print_topics ( header , cmds , 15 , 80 ) else : self . stdout . write ( '{}\n' . format ( str ( header ) ) ) widest = 0 # measure the commands for command in cmds : width = utils . ansi_safe_wcswidth ( command ) ...
def plot2d ( points , cells , mesh_color = "k" , show_axes = False ) : """Plot a 2D mesh using matplotlib ."""
import matplotlib . pyplot as plt from matplotlib . collections import LineCollection fig = plt . figure ( ) ax = fig . gca ( ) plt . axis ( "equal" ) if not show_axes : ax . set_axis_off ( ) xmin = numpy . amin ( points [ : , 0 ] ) xmax = numpy . amax ( points [ : , 0 ] ) ymin = numpy . amin ( points [ : , 1 ] ) y...
def drape ( raster , feature ) : """Convert a 2D feature to a 3D feature by sampling a raster Parameters : raster ( rasterio ) : raster to provide the z coordinate feature ( dict ) : fiona feature record to convert Returns : result ( Point or Linestring ) : shapely Point or LineString of xyz coordinate tr...
coords = feature [ 'geometry' ] [ 'coordinates' ] geom_type = feature [ 'geometry' ] [ 'type' ] if geom_type == 'Point' : xyz = sample ( raster , [ coords ] ) result = Point ( xyz [ 0 ] ) elif geom_type == 'LineString' : xyz = sample ( raster , coords ) points = [ Point ( x , y , z ) for x , y , z in xy...
def get_asset_contents_by_genus_type_for_asset ( self , asset_content_genus_type , asset_id ) : """Gets an ` ` AssetContentList ` ` from the given GenusType and Asset Id . In plenary mode , the returned list contains all known asset contents or an error results . Otherwise , the returned list may contain only ...
return AssetContentList ( self . _provider_session . get_asset_contents_by_genus_type_for_asset ( asset_content_genus_type , asset_id ) , self . _config_map )
def update ( self , password = values . unset ) : """Update the CredentialInstance : param unicode password : The password will not be returned in the response : returns : Updated CredentialInstance : rtype : twilio . rest . api . v2010 . account . sip . credential _ list . credential . CredentialInstance"""
return self . _proxy . update ( password = password , )
def lookup ( self , dotted_path , lineno = None ) : """Given a dotted path in the format ` ` class _ name ` ` or ` ` class _ name : method _ name ` ` this performs an alias lookup . For methods the line number must be supplied or the result is unreliable ."""
rv = None try : rv = rustcall ( _lib . lsm_proguard_mapping_convert_dotted_path , self . _get_ptr ( ) , dotted_path . encode ( 'utf-8' ) , lineno or 0 ) return _ffi . string ( rv ) . decode ( 'utf-8' , 'replace' ) finally : if rv is not None : _lib . lsm_buffer_free ( rv )
def encrypt ( byte_data , secret_key = '' ) : '''uses cryptography module to encrypt byte data cipher : AES ( 128 bit block _ size ) hash : sha512 key size : 256 bit ( first 32 bytes of secret key hash ) vector size : 128 bit ( next 16 bytes of secret key hash ) padding : PKCS7 cipher mode : CBC backe...
# validate input if not isinstance ( byte_data , bytes ) : raise TypeError ( '\nbyte data input must be a byte datatype.' ) # validate secret key or create secret key if secret_key : if not isinstance ( secret_key , str ) : raise TypeError ( '\nsecret key input must be a utf-8 encoded string.' ) else : ...
def command ( self , dbname , spec , slave_ok = False , read_preference = ReadPreference . PRIMARY , codec_options = DEFAULT_CODEC_OPTIONS , check = True , allowable_errors = None , check_keys = False , read_concern = DEFAULT_READ_CONCERN , write_concern = None , parse_write_concern_error = False , collation = None ) :...
if self . max_wire_version < 4 and not read_concern . ok_for_legacy : raise ConfigurationError ( 'read concern level of %s is not valid ' 'with a max wire version of %d.' % ( read_concern . level , self . max_wire_version ) ) if not ( write_concern is None or write_concern . acknowledged or collation is None ) : ...
def next_week_day ( base_date , weekday ) : """Finds next weekday"""
day_of_week = base_date . weekday ( ) end_of_this_week = base_date + timedelta ( days = 6 - day_of_week ) day = end_of_this_week + timedelta ( days = 1 ) while day . weekday ( ) != weekday : day = day + timedelta ( days = 1 ) return day
def get_updates ( self , offset = None , limit = 100 , poll_timeout = 0 , allowed_updates = None , request_timeout = None , delta = timedelta ( milliseconds = 100 ) , error_as_empty = False ) : """Use this method to receive incoming updates using long polling . An Array of Update objects is returned . You can cho...
from datetime import datetime assert ( offset is None or isinstance ( offset , int ) ) assert ( limit is None or isinstance ( limit , int ) ) assert ( poll_timeout is None or isinstance ( poll_timeout , int ) ) assert ( allowed_updates is None or isinstance ( allowed_updates , list ) ) if poll_timeout and not request_t...
def wait ( self , auth , resource , options , defer = False ) : """This is a HTTP Long Polling API which allows a user to wait on specific resources to be updated . Args : auth : < cik > for authentication resource : < ResourceID > to specify what resource to wait on . options : Options for the wait inclu...
# let the server control the timeout return self . _call ( 'wait' , auth , [ resource , options ] , defer , notimeout = True )
def serve_coll_page ( self , environ , coll = '$root' ) : """Render and serve a collections search page ( search . html ) . : param dict environ : The WSGI environment dictionary for the request : param str coll : The name of the collection to serve the collections search page for : return : The WbResponse co...
if not self . is_valid_coll ( coll ) : self . raise_not_found ( environ , 'No handler for "/{0}"' . format ( coll ) ) self . setup_paths ( environ , coll ) metadata = self . get_metadata ( coll ) view = BaseInsertView ( self . rewriterapp . jinja_env , 'search.html' ) wb_prefix = environ . get ( 'SCRIPT_NAME' ) if ...
def sync_one ( self , aws_syncr , amazon , route ) : """Make sure this role exists and has only what policies we want it to have"""
route_info = amazon . route53 . route_info ( route . name , route . zone ) target = route . record_target if callable ( target ) : target = target ( amazon ) if not route_info : amazon . route53 . create_route ( route . name , route . zone , route . record_type , target ) else : amazon . route53 . modify_ro...
def feed ( self , token , test_newline = True ) : """Consume a token and calculate the new line & column . As an optional optimization , set test _ newline = False is token doesn ' t contain a newline ."""
if test_newline : newlines = token . count ( self . newline_char ) if newlines : self . line += newlines self . line_start_pos = self . char_pos + token . rindex ( self . newline_char ) + 1 self . char_pos += len ( token ) self . column = self . char_pos - self . line_start_pos + 1
def read_asc_grid ( filename , footer = 0 ) : """Reads ASCII grid file ( * . asc ) . Parameters filename : str Name of * . asc file . footer : int , optional Number of lines at bottom of * . asc file to skip . Returns grid _ array : numpy array , shape ( M , N ) ( M , N ) array of grid values , wher...
ncols = None nrows = None xllcorner = None xllcenter = None yllcorner = None yllcenter = None cellsize = None dx = None dy = None no_data = None header_lines = 0 with io . open ( filename , 'r' ) as f : while True : string , value = f . readline ( ) . split ( ) header_lines += 1 if string . ...
def Q_weir_rectangular_full_SIA ( h1 , h2 , b ) : r'''Calculates the flow rate across a full - channel rectangular weir from the height of the liquid above the crest of the weir , the liquid depth beneath it , and the width of the channel . Model from [ 1 ] _ as reproduced in [2 ] _ . Flow rate is given by ...
Q = 2 / 3. * 2 ** 0.5 * ( 0.615 + 0.000615 / ( h1 + 0.0016 ) ) * b * g ** 0.5 * h1 + 0.5 * ( h1 / ( h1 + h2 ) ) ** 2 * b * g ** 0.5 * h1 ** 1.5 return Q
def load_tasks_from_file ( self , file_path ) : """Imports specified python module and returns subclasses of BaseTask from it : param file _ path : a fully qualified file path for a python module to import CustomTasks from : type file _ path : ` str ` : return : a dict of CustomTasks , where key is CustomTask...
file_name , module_path , objects = Loader . import_custom_python_file ( file_path ) result = { } for entry in objects : try : if issubclass ( entry , BaseTask ) : if entry . __name__ != BaseTask . __name__ and entry . name == BaseTask . name : raise GOSTaskException ( "Class {cl...
def get_ugali_dir ( ) : """Get the path to the ugali data directory from the environment"""
dirname = os . getenv ( 'UGALIDIR' ) # Get the HOME directory if not dirname : dirname = os . path . join ( os . getenv ( 'HOME' ) , '.ugali' ) if not os . path . exists ( dirname ) : from ugali . utils . logger import logger msg = "Creating UGALIDIR:\n%s" % dirname logger . warning ( msg ) return mkdir...
def forall ( self , method ) : """TODO : I AM NOT HAPPY THAT THIS WILL NOT WORK WELL WITH WINDOW FUNCTIONS THE parts GIVE NO INDICATION OF NEXT ITEM OR PREVIOUS ITEM LIKE rownum DOES . MAYBE ALGEBRAIC EDGES SHOULD BE LOOPED DIFFERENTLY ? ON THE OTHER HAND , MAYBE WINDOW FUNCTIONS ARE RESPONSIBLE FOR THIS COMP...
if not self . is_value : Log . error ( "Not dealing with this case yet" ) matrix = self . data . values ( ) [ 0 ] parts = [ e . domain . partitions for e in self . edges ] for c in matrix . _all_combos ( ) : method ( matrix [ c ] , [ parts [ i ] [ cc ] for i , cc in enumerate ( c ) ] , self )
def apply_panes_settings ( self ) : """Update dockwidgets features settings"""
for plugin in ( self . widgetlist + self . thirdparty_plugins ) : features = plugin . FEATURES if CONF . get ( 'main' , 'vertical_dockwidget_titlebars' ) : features = features | QDockWidget . DockWidgetVerticalTitleBar plugin . dockwidget . setFeatures ( features ) plugin . update_margins ( )
def set ( self , request_url , response_json ) : """Checks if the maximum size of the cache has been reached and in case discards the least recently used item from ' usage _ recency ' and ' table ' ; then adds the response _ json to be cached to the ' table ' dict using as a lookup key the request _ url of th...
if self . size ( ) == self . _max_size : popped = self . _usage_recency . pop ( ) del self . _table [ popped ] current_time = timeutils . now ( 'unix' ) if request_url not in self . _table : self . _table [ request_url ] = { 'data' : response_json , 'insertion_time' : current_time } self . _usage_recenc...
def union ( graphs , use_tqdm : bool = False ) : """Take the union over a collection of graphs into a new graph . Assumes iterator is longer than 2 , but not infinite . : param iter [ BELGraph ] graphs : An iterator over BEL graphs . Can ' t be infinite . : param use _ tqdm : Should a progress bar be displaye...
it = iter ( graphs ) if use_tqdm : it = tqdm ( it , desc = 'taking union' ) try : target = next ( it ) except StopIteration as e : raise ValueError ( 'no graphs given' ) from e try : graph = next ( it ) except StopIteration : return target else : target = target . copy ( ) left_full_join ( t...
def gen_rand_str ( * size , use = None , keyspace = None ) : """Generates a random string using random module specified in @ use within the @ keyspace @ * size : # int size range for the length of the string @ use : the random module to use @ keyspace : # str chars allowed in the random string from vital ...
keyspace = keyspace or ( string . ascii_letters + string . digits ) keyspace = [ char for char in keyspace ] use = use or _random use . seed ( ) if size : size = size if len ( size ) == 2 else ( size [ 0 ] , size [ 0 ] ) else : size = ( 10 , 12 ) return '' . join ( use . choice ( keyspace ) for _ in range ( use...
def _parse_title ( dom , details ) : """Parse title / name of the book . Args : dom ( obj ) : HTMLElement containing whole HTML page . details ( obj ) : HTMLElement containing slice of the page with details . Returns : str : Book ' s title . Raises : AssertionError : If title not found ."""
title = details . find ( "h1" ) # if the header is missing , try to parse title from the < title > tag if not title : title = dom . find ( "title" ) assert title , "Can't find <title> tag!" return title [ 0 ] . getContent ( ) . split ( "|" ) [ 0 ] . strip ( ) return title [ 0 ] . getContent ( ) . strip ( )
def insert ( self , dct , toa = None , comment = "" ) : """Create a document : param dict dct : : param toa toa : Optional time of action , triggers this to be handled as a future insert action for a new document : param str comment : A comment : rtype str : : returns string bson id :"""
if self . schema : jsonschema . validate ( dct , self . schema ) bson_obj = yield self . collection . insert ( dct ) raise Return ( bson_obj . __str__ ( ) )
def expand_by_device ( original_parallelism , device_parallelism , data ) : """Opposite of reduce _ by _ device ( ) . Args : original _ parallelism : a expert _ utils . Parallelism object . device _ parallelism : a expert _ utils . Parallelism object . data : a list of tensors with length device _ paralleli...
device_to_datum = { device_parallelism . devices [ i ] : data [ i ] for i in range ( device_parallelism . n ) } return [ device_to_datum [ d ] for d in original_parallelism . devices ]
def _model_predict_is ( self , h , recalculate = False , fit_once = True ) : """Outputs ensemble model predictions for the end - of - period data Parameters h : int How many steps at the end of the series to run the ensemble on recalculate : boolean Whether to recalculate the predictions or not fit _ on...
if len ( self . model_predictions_is ) == 0 or h != self . h or recalculate is True : for no , model in enumerate ( self . model_list ) : if no == 0 : result = model . predict_is ( h , fit_once = fit_once ) result . columns = [ model . model_name ] else : new_fram...
def _get_rho ( self , v ) : """convert unit - cell volume in A ^ 3 to density in g / cm ^ 3 : param v : unit cell volume in A ^ 3 : return : density in g / cm ^ 3 : note : internal function"""
v_mol = vol_uc2mol ( v , self . z ) # in m ^ 3 rho = self . mass / v_mol * 1.e-6 # in g / cm ^ 3 return rho
def get_sampling_strategy ( self , sensor_name ) : """Get the current sampling strategy for the named sensor Parameters sensor _ name : str Name of the sensor ( normal or escaped form ) Returns strategy : tuple of str contains ( < strat _ name > , [ < strat _ parm1 > , . . . ] ) where the strategy names...
cache_key = self . _get_strategy_cache_key ( sensor_name ) cached = self . _strategy_cache . get ( cache_key ) if not cached : return resource . normalize_strategy_parameters ( 'none' ) else : return cached
def _replace_nans ( self , data ) : # return data """Checks floating point data columns for nans , and replaces these with the generic Stata for missing value ( . )"""
for c in data : dtype = data [ c ] . dtype if dtype in ( np . float32 , np . float64 ) : if dtype == np . float32 : replacement = self . MISSING_VALUES [ 'f' ] else : replacement = self . MISSING_VALUES [ 'd' ] data [ c ] = data [ c ] . fillna ( replacement ) retu...
def _updateNonDefaultsForInspector ( self , inspectorRegItem , inspector ) : """Store the ( non - default ) config values for the current inspector in a local dictionary . This dictionary is later used to store value for persistence . This function must be called after the inspector was drawn because that may u...
if inspectorRegItem and inspector : key = inspectorRegItem . identifier logger . debug ( "_updateNonDefaultsForInspector: {} {}" . format ( key , type ( inspector ) ) ) self . _inspectorsNonDefaults [ key ] = inspector . config . getNonDefaultsDict ( ) else : logger . debug ( "_updateNonDefaultsForInspe...
def _get_sqs_conn ( profile , region = None , key = None , keyid = None ) : '''Get a boto connection to SQS .'''
if profile : if isinstance ( profile , six . string_types ) : _profile = __opts__ [ profile ] elif isinstance ( profile , dict ) : _profile = profile key = _profile . get ( 'key' , None ) keyid = _profile . get ( 'keyid' , None ) region = _profile . get ( 'region' , None ) if not reg...
def add_input_distortions ( flip_left_right , random_crop , random_scale , random_brightness , module_spec ) : """Creates the operations to apply the specified distortions . During training it can help to improve the results if we run the images through simple distortions like crops , scales , and flips . These...
input_height , input_width = hub . get_expected_image_size ( module_spec ) input_depth = hub . get_num_image_channels ( module_spec ) jpeg_data = tf . placeholder ( tf . string , name = 'DistortJPGInput' ) decoded_image = tf . image . decode_jpeg ( jpeg_data , channels = input_depth ) # Convert from full range of uint8...
def set ( self , e , k , v , real_k = None , check_kw_name = False ) : """override base to handle escape case : replace \" to " """
if self . escape : v = v . strip ( ) . replace ( "\\" + self . quote , self . quote ) return super ( kv_transformer , self ) . set ( e , k , v , real_k = real_k , check_kw_name = check_kw_name )
def sync_luigi_config ( self , push = True , pull = True , expand = True ) : """Synchronizes sections starting with ` ` " luigi _ " ` ` with the luigi configuration parser . First , when * push * is * True * , options that exist in law but * * not * * in luigi are stored as defaults in the luigi config . Then ,...
prefix = "luigi_" lparser = luigi . configuration . LuigiConfigParser . instance ( ) if push : for section in self . sections ( ) : if not section . startswith ( prefix ) : continue lsection = section [ len ( prefix ) : ] if not lparser . has_section ( lsection ) : lp...
def FinalizeConfigInit ( config , token , admin_password = None , redownload_templates = False , repack_templates = True , prompt = True ) : """Performs the final steps of config initialization ."""
config . Set ( "Server.initialized" , True ) print ( "\nWriting configuration to %s." % config [ "Config.writeback" ] ) config . Write ( ) print ( "Initializing the datastore." ) # Reload the config and initialize the GRR database . server_startup . Init ( ) print ( "\nStep 3: Adding GRR Admin User" ) try : CreateU...
def go_to_index ( self , index ) : """Create a new : class : ` . CompletionState ` object with the new index ."""
return CompletionState ( self . original_document , self . current_completions , complete_index = index )
def wormhole ( context , dump_timing , transit_helper , relay_url , appid ) : """Create a Magic Wormhole and communicate through it . Wormholes are created by speaking the same magic CODE in two different places at the same time . Wormholes are secure against anyone who doesn ' t use the same code ."""
context . obj = cfg = Config ( ) cfg . appid = appid cfg . relay_url = relay_url cfg . transit_helper = transit_helper cfg . dump_timing = dump_timing
def of_text ( self , text , encoding = "utf-8" ) : """Use default hash method to return hash value of a piece of string default setting use ' utf - 8 ' encoding ."""
m = self . hash_algo ( ) m . update ( text . encode ( encoding ) ) if self . return_int : return int ( m . hexdigest ( ) , 16 ) else : return m . hexdigest ( )
def p_definition_list ( p ) : """definition _ list : definition definition _ list | definition"""
if len ( p ) == 3 : p [ 0 ] = p [ 1 ] + p [ 2 ] elif len ( p ) == 2 : p [ 0 ] = p [ 1 ] else : raise RuntimeError ( "Invalid production rules 'p_action_list'" )
def visualize_saliency_with_losses ( input_tensor , losses , seed_input , wrt_tensor = None , grad_modifier = 'absolute' , keepdims = False ) : """Generates an attention heatmap over the ` seed _ input ` by using positive gradients of ` input _ tensor ` with respect to weighted ` losses ` . This function is int...
opt = Optimizer ( input_tensor , losses , wrt_tensor = wrt_tensor , norm_grads = False ) grads = opt . minimize ( seed_input = seed_input , max_iter = 1 , grad_modifier = grad_modifier , verbose = False ) [ 1 ] if not keepdims : channel_idx = 1 if K . image_data_format ( ) == 'channels_first' else - 1 grads = n...