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def _convert_value_to_native ( value ) : """Converts pysnmp objects into native Python objects ."""
if isinstance ( value , Counter32 ) : return int ( value . prettyPrint ( ) ) if isinstance ( value , Counter64 ) : return int ( value . prettyPrint ( ) ) if isinstance ( value , Gauge32 ) : return int ( value . prettyPrint ( ) ) if isinstance ( value , Integer ) : return int ( value . prettyPrint ( ) ) ...
def finalize ( self , outcome = None ) : """Finalize state This method is called when the run method finishes : param rafcon . core . logical _ port . Outcome outcome : final outcome of the state : return : Nothing for the moment"""
# Set the final outcome of the state if outcome is not None : self . final_outcome = outcome # If we are within a concurrency state , we have to notify it about our finalization if self . concurrency_queue : self . concurrency_queue . put ( self . state_id ) logger . debug ( "Finished execution of {0}: {1}" . f...
def rate_limited ( max_per_hour : int , * args : Any ) -> Callable [ ... , Any ] : """Rate limit a function ."""
return util . rate_limited ( max_per_hour , * args )
def inject_target ( self , target , dependencies = None , derived_from = None , synthetic = False ) : """Injects a fully realized Target into the BuildGraph . : API : public : param Target target : The Target to inject . : param list < Address > dependencies : The Target addresses that ` target ` depends on ....
if self . contains_address ( target . address ) : raise ValueError ( 'Attempted to inject synthetic {target} derived from {derived_from}' ' into the BuildGraph with address {address}, but there is already a Target' ' {existing_target} with that address' . format ( target = target , derived_from = derived_from , add...
def load_dependency ( self , module_name , dependencies , recursive , greedy , ismapping = False ) : """Loads the module with the specified name if it isn ' t already loaded ."""
key = module_name . lower ( ) if key not in self . modules : if key == "fortpy" : # Manually specify the correct path to the fortpy . f90 that shipped with # the distribution from fortpy . utility import get_fortpy_templates_dir from os import path fpy_path = path . join ( get_fortpy_tem...
def _create ( cls , writer_spec , filename_suffix ) : """Helper method that actually creates the file in cloud storage ."""
writer = cls . _open_file ( writer_spec , filename_suffix ) return cls ( writer , writer_spec = writer_spec )
def forum_id ( self ) : """小组发帖要用的 forum _ id"""
html = self . request ( self . team_url ) . text soup = BeautifulSoup ( html ) return soup . find ( id = 'forum_id' ) . attrs [ 'value' ]
def drop_user ( self , username ) : """Drop a user from InfluxDB . : param username : the username to drop : type username : str"""
text = "DROP USER {0}" . format ( quote_ident ( username ) , method = "POST" ) self . query ( text , method = "POST" )
def file_xext ( filepath ) : """Get the file extension wrt compression from the filename ( is it tar or targz ) : param str filepath : Path to the file : return str ext : Compression extension name"""
ext = os . path . splitext ( filepath ) [ 1 ] if ext == '.gz' : xext = os . path . splitext ( os . path . splitext ( filepath ) [ 0 ] ) [ 1 ] if xext == '.tar' : ext = xext + ext elif ext == '.tar' : pass # ext is already . tar else : ext = '' return ext
def install_notebook_hook ( notebook_type , load , show_doc , show_app , overwrite = False ) : '''Install a new notebook display hook . Bokeh comes with support for Jupyter notebooks built - in . However , there are other kinds of notebooks in use by different communities . This function provides a mechanism ...
if notebook_type in _HOOKS and not overwrite : raise RuntimeError ( "hook for notebook type %r already exists" % notebook_type ) _HOOKS [ notebook_type ] = dict ( load = load , doc = show_doc , app = show_app )
def get_groupname ( taskfileinfo ) : """Return a suitable name for a groupname for the given taskfileinfo . : param taskfileinfo : the taskfile info for the file that needs a group when importing / referencing : type taskfileinfo : : class : ` jukeboxcore . filesys . TaskFileInfo ` : returns : None : rtype ...
element = taskfileinfo . task . element name = element . name return name + "_grp"
def copy_preset ( preset_dir , project_dir ) : """Copy contents of preset into new project If package . json contains the key " contents " , limit the files copied to those present in this list . Arguments : preset _ dir ( str ) : Absolute path to preset project _ dir ( str ) : Absolute path to new projec...
os . makedirs ( project_dir ) package_file = os . path . join ( preset_dir , "package.json" ) with open ( package_file ) as f : package = json . load ( f ) for fname in os . listdir ( preset_dir ) : src = os . path . join ( preset_dir , fname ) contents = package . get ( "contents" ) or [ ] if fname not...
def chunks ( arr , size ) : """Splits a list into chunks : param arr : list to split : type arr : : class : ` list ` : param size : number of elements in each chunk : type size : : class : ` int ` : return : generator object : rtype : : class : ` generator `"""
for i in _range ( 0 , len ( arr ) , size ) : yield arr [ i : i + size ]
def s3_download ( url , dst ) : # type : ( str , str ) - > None """Download a file from S3. Args : url ( str ) : the s3 url of the file . dst ( str ) : the destination where the file will be saved ."""
url = parse . urlparse ( url ) if url . scheme != 's3' : raise ValueError ( "Expecting 's3' scheme, got: %s in %s" % ( url . scheme , url ) ) bucket , key = url . netloc , url . path . lstrip ( '/' ) region = os . environ . get ( 'AWS_REGION' , os . environ . get ( _params . REGION_NAME_ENV ) ) s3 = boto3 . resourc...
def affine_matrix_from_points ( v0 , v1 , shear = True , scale = True , usesvd = True ) : """Return affine transform matrix to register two point sets . v0 and v1 are shape ( ndims , \ * ) arrays of at least ndims non - homogeneous coordinates , where ndims is the dimensionality of the coordinate space . If s...
v0 = numpy . array ( v0 , dtype = numpy . float64 , copy = True ) v1 = numpy . array ( v1 , dtype = numpy . float64 , copy = True ) ndims = v0 . shape [ 0 ] if ndims < 2 or v0 . shape [ 1 ] < ndims or v0 . shape != v1 . shape : raise ValueError ( "input arrays are of wrong shape or type" ) # move centroids to origi...
def projection ( table , exprs ) : """Compute new table expression with the indicated column expressions from this table . Parameters exprs : column expression , or string , or list of column expressions and strings . If strings passed , must be columns in the table already Returns projection : TableExp...
import ibis . expr . analysis as L if isinstance ( exprs , ( Expr , str ) ) : exprs = [ exprs ] projector = L . Projector ( table , exprs ) op = projector . get_result ( ) return op . to_expr ( )
def classnameify ( s ) : """Makes a classname"""
return '' . join ( w if w in ACRONYMS else w . title ( ) for w in s . split ( '_' ) )
def command_line ( self ) : '''Return a string to open read files with'''
file_format = self . guess_sequence_input_file_format ( self . read_file ) logging . debug ( "Detected file format %s" % file_format ) if file_format == self . FORMAT_FASTA : cmd = """cat %s""" % ( self . read_file ) elif file_format == self . FORMAT_FASTQ_GZ : cmd = """zcat %s | awk '{print ">" substr($0,2);ge...
def clean ( self ) : """Prevents cycles in the tree ."""
super ( CTENode , self ) . clean ( ) if self . parent and self . pk in getattr ( self . parent , self . _cte_node_path ) : raise ValidationError ( _ ( "A node cannot be made a descendant of itself." ) )
def makeTauchenAR1 ( N , sigma = 1.0 , rho = 0.9 , bound = 3.0 ) : '''Function to return a discretized version of an AR1 process . See http : / / www . fperri . net / TEACHING / macrotheory08 / numerical . pdf for details Parameters N : int Size of discretized grid sigma : float Standard deviation of th...
yN = bound * sigma / ( ( 1 - rho ** 2 ) ** 0.5 ) y = np . linspace ( - yN , yN , N ) d = y [ 1 ] - y [ 0 ] trans_matrix = np . ones ( ( N , N ) ) for j in range ( N ) : for k_1 in range ( N - 2 ) : k = k_1 + 1 trans_matrix [ j , k ] = stats . norm . cdf ( ( y [ k ] + d / 2.0 - rho * y [ j ] ) / sigm...
def encode ( self , message , k = None ) : '''Encode one message block ( up to 255 ) into an ecc'''
if not k : k = self . k message , _ = self . pad ( message , k = k ) if self . algo == 1 : mesecc = self . ecc_manager . encode ( message , k = k ) elif self . algo == 2 : mesecc = self . ecc_manager . encode_fast ( message , k = k ) elif self . algo == 3 or self . algo == 4 : mesecc = rs_encode_msg ( m...
def fork ( self , ** args ) : '''fork any gist by providing gistID or gistname ( for authenticated user )'''
if 'name' in args : self . gist_name = args [ 'name' ] self . gist_id = self . getMyID ( self . gist_name ) elif 'id' in args : self . gist_id = args [ 'id' ] else : raise Exception ( 'Either provide authenticated user\'s Unambigious Gistname or any unique Gistid to be forked' ) r = requests . post ( '%...
def get_tmp_file ( dir = None ) : "Create and return a tmp filename , optionally at a specific path . ` os . remove ` when done with it ."
with tempfile . NamedTemporaryFile ( delete = False , dir = dir ) as f : return f . name
def update ( self ) : """Sends the current screen contents to Mate Light"""
display_data = [ ] for y in range ( self . height ) : for x in range ( self . width ) : for color in self . matrix [ x ] [ y ] : display_data . append ( int ( color ) ) checksum = bytearray ( [ 0 , 0 , 0 , 0 ] ) data_as_bytes = bytearray ( display_data ) data = data_as_bytes + checksum sock = so...
def escape ( identifier , ansi_quotes , should_quote ) : """Escape identifiers . ANSI uses single quotes , but many databases use back quotes ."""
if not should_quote ( identifier ) : return identifier quote = '"' if ansi_quotes else '`' identifier = identifier . replace ( quote , 2 * quote ) return '{0}{1}{2}' . format ( quote , identifier , quote )
def delete_property ( self , content_id , property_key , callback = None ) : """Deletes a content property . : param content _ id ( string ) : The ID for the content that owns the property to be deleted . : param property _ key ( string ) : The name of the property to be deleted . : param callback : OPTIONAL ...
return self . _service_delete_request ( "rest/api/content/{id}/property/{key}" "" . format ( id = content_id , key = property_key ) , callback = callback )
def sensitivity ( Ntp , Nfn , eps = numpy . spacing ( 1 ) ) : """Sensitivity Wikipedia entry https : / / en . wikipedia . org / wiki / Sensitivity _ and _ specificity Parameters Ntp : int > = 0 Number of true positives . Nfn : int > = 0 Number of false negatives . eps : float eps . Default value n...
return float ( Ntp / ( Ntp + Nfn + eps ) )
def create_group_dampening ( self , group_id , dampening ) : """Create a new group dampening : param group _ id : Group Trigger id attached to dampening : param dampening : Dampening definition to be created . : type dampening : Dampening : return : Group Dampening created"""
data = self . _serialize_object ( dampening ) url = self . _service_url ( [ 'triggers' , 'groups' , group_id , 'dampenings' ] ) return Dampening ( self . _post ( url , data ) )
def unstructured_bugs ( self ) : """Get bugs that match this line in the Bug Suggestions artifact for this job ."""
components = self . _serialized_components ( ) if not components : return [ ] from treeherder . model . error_summary import get_useful_search_results job = Job . objects . get ( guid = self . job_guid ) rv = [ ] ids_seen = set ( ) for item in get_useful_search_results ( job ) : if all ( component in item [ "se...
def arc_by_center ( x , y , arc_box , constant_length , thickness , gaussian_width ) : """Arc with Gaussian fall - off after the solid ring - shaped region and specified by point of tangency ( x and y ) and arc width and height . This function calculates the start and end radian from the given width and heigh...
arc_w = arc_box [ 0 ] arc_h = abs ( arc_box [ 1 ] ) if arc_w == 0.0 : # arc _ w = 0 , don ' t draw anything radius = 0.0 angles = ( 0.0 , 0.0 ) elif arc_h == 0.0 : # draw a horizontal line , width = arc _ w return smooth_rectangle ( x , y , arc_w , thickness , 0.0 , gaussian_width ) else : if constant_l...
def salt_main ( ) : '''Publish commands to the salt system from the command line on the master .'''
import salt . cli . salt if '' in sys . path : sys . path . remove ( '' ) client = salt . cli . salt . SaltCMD ( ) _install_signal_handlers ( client ) client . run ( )
def expect ( self , msg ) -> T : """Unwraps the option . Raises an exception if the value is : py : data : ` NONE ` . Args : msg : The exception message . Returns : The wrapped value . Raises : ` ` ValueError ` ` with message provided by ` ` msg ` ` if the value is : py : data : ` NONE ` . Examples : ...
if self . _is_some : return self . _val raise ValueError ( msg )
def _get_platlib_dir ( cmd ) : """Given a build command , return the name of the appropriate platform - specific build subdirectory directory ( e . g . build / lib . linux - x86_64-2.7)"""
plat_specifier = '.{0}-{1}' . format ( cmd . plat_name , sys . version [ 0 : 3 ] ) return os . path . join ( cmd . build_base , 'lib' + plat_specifier )
def process_exception ( self , request : AxesHttpRequest , exception ) : # pylint : disable = inconsistent - return - statements """Exception handler that processes exceptions raised by the Axes signal handler when request fails with login . Only ` ` axes . exceptions . AxesSignalPermissionDenied ` ` exception is...
if isinstance ( exception , AxesSignalPermissionDenied ) : return get_lockout_response ( request )
def _ProcessCompressedStreamTypes ( self , mediator , path_spec , type_indicators ) : """Processes a data stream containing compressed stream types such as : bz2. Args : mediator ( ParserMediator ) : mediates the interactions between parsers and other components , such as storage and abort signals . path _ ...
number_of_type_indicators = len ( type_indicators ) if number_of_type_indicators == 0 : return self . processing_status = definitions . STATUS_INDICATOR_COLLECTING if number_of_type_indicators > 1 : display_name = mediator . GetDisplayName ( ) logger . debug ( ( 'Found multiple format type indicators: {0:s}...
def mark_rewrite ( self , * names ) : """Mark import names as needing to be re - written . The named module or package as well as any nested modules will be re - written on import ."""
already_imported = set ( names ) . intersection ( set ( sys . modules ) ) if already_imported : for name in already_imported : if name not in self . _rewritten_names : self . _warn_already_imported ( name ) self . _must_rewrite . update ( names )
def get_devices ( ads , ** kwargs ) : """Finds a list of AndroidDevice instance from a list that has specific attributes of certain values . Example : get _ devices ( android _ devices , label = ' foo ' , phone _ number = ' 1234567890 ' ) get _ devices ( android _ devices , model = ' angler ' ) Args : a...
def _get_device_filter ( ad ) : for k , v in kwargs . items ( ) : if not hasattr ( ad , k ) : return False elif getattr ( ad , k ) != v : return False return True filtered = filter_devices ( ads , _get_device_filter ) if not filtered : raise Error ( 'Could not find a ...
def set_parent ( self , parent ) : """Set the parent reftrack object If a parent gets deleted , the children will be deleted too . . . Note : : Once the parent is set , it cannot be set again ! : param parent : the parent reftrack object : type parent : : class : ` Reftrack ` | None : returns : None : r...
assert self . _parent is None or self . _parent is parent , "Cannot change the parent. Can only set from None." if parent and self . _parent is parent : return self . _parent = parent if parent : refobjinter = self . get_refobjinter ( ) refobj = self . get_refobj ( ) # set the parent of the refobj only ...
def position ( self ) : '''If this locus spans a single base , this property gives that position . Otherwise , raises a ValueError .'''
if self . end != self . start + 1 : raise ValueError ( "Not a single base: %s" % str ( self ) ) return self . start
def log_predictive_density ( self , x_test , y_test , Y_metadata = None ) : """Calculation of the log predictive density . . math : p ( y _ { * } | D ) = p ( y _ { * } | f _ { * } ) p ( f _ { * } | \ mu _ { * } \\ sigma ^ { 2 } _ { * } ) : param x _ test : test locations ( x _ { * } ) : type x _ test : ( Nx...
mu_star , var_star = self . _raw_predict ( x_test ) return self . likelihood . log_predictive_density ( y_test , mu_star , var_star , Y_metadata = Y_metadata )
def merge ( args ) : """% prog merge bedfiles > newbedfile Concatenate bed files together . Performing seqid and name changes to avoid conflicts in the new bed file ."""
p = OptionParser ( merge . __doc__ ) p . set_outfile ( ) opts , args = p . parse_args ( args ) if len ( args ) < 1 : sys . exit ( not p . print_help ( ) ) bedfiles = args fw = must_open ( opts . outfile , "w" ) for bedfile in bedfiles : bed = Bed ( bedfile ) pf = op . basename ( bedfile ) . split ( "." ) [ ...
def corpus ( self ) : '''Command to add a corpus to the dsrt library'''
# Initialize the addcorpus subcommand ' s argparser description = '''The corpus subcommand has a number of subcommands of its own, including: list\t-\tlists all available corpora in dsrt's library add\t-\tadds a corpus to dsrt's library''' parser = argparse . ArgumentParser ( description = descr...
def cluster_count_key_in_slots ( self , slot ) : """Return the number of local keys in the specified hash slot ."""
if not isinstance ( slot , int ) : raise TypeError ( "Expected slot to be of type int, got {}" . format ( type ( slot ) ) ) return self . execute ( b'CLUSTER' , b'COUNTKEYSINSLOT' , slot )
def peak_in_power ( events , dat , s_freq , method , value = None ) : """Define peak in power of the signal . Parameters events : ndarray ( dtype = ' int ' ) N x 3 matrix with start , peak , end samples dat : ndarray ( dtype = ' float ' ) vector with the original data s _ freq : float sampling frequen...
dat = diff ( dat ) # remove 1 / f peak = empty ( events . shape [ 0 ] ) peak . fill ( nan ) if method is not None : for i , one_event in enumerate ( events ) : if method == 'peak' : x0 = one_event [ 1 ] - value / 2 * s_freq x1 = one_event [ 1 ] + value / 2 * s_freq elif metho...
def find ( pattern , path = os . path . curdir , recursive = False ) : """Find absolute file / folder paths with the given ` ` re ` ` pattern . Args : * pattern : search pattern , support both string ( exact match ) and ` re ` pattern . * path : root path to start searching , default is current working direct...
root = realpath ( path ) Finder = lambda item : regex . is_regex ( pattern ) and pattern . match ( item ) or ( pattern == item ) if recursive : for base , dirs , files in os . walk ( root , topdown = True ) : for segment in itertools . chain ( filter ( Finder , files ) , filter ( Finder , dirs ) ) : ...
def _stdin_ ( p ) : """Takes input from user . Works for Python 2 and 3."""
_v = sys . version [ 0 ] return input ( p ) if _v is '3' else raw_input ( p )
def _adjustment_reactions ( self ) : """Yield all the non exchange reactions in the model ."""
for reaction_id in self . _model . reactions : if not self . _model . is_exchange ( reaction_id ) : yield reaction_id
def dispatch ( self , request , * args , ** kwargs ) : """Override dispatch to call appropriate methods : * $ query - ng _ query * $ get - ng _ get * $ save - ng _ save * $ delete and $ remove - ng _ delete"""
allowed_methods = self . get_allowed_methods ( ) try : if request . method == 'GET' and 'GET' in allowed_methods : if 'pk' in request . GET or self . slug_field in request . GET : return self . ng_get ( request , * args , ** kwargs ) return self . ng_query ( request , * args , ** kwargs ...
def furnsh ( path ) : """Load one or more SPICE kernels into a program . http : / / naif . jpl . nasa . gov / pub / naif / toolkit _ docs / C / cspice / furnsh _ c . html : param path : one or more paths to kernels : type path : str or list of str"""
if isinstance ( path , list ) : for p in path : libspice . furnsh_c ( stypes . stringToCharP ( p ) ) else : path = stypes . stringToCharP ( path ) libspice . furnsh_c ( path )
def archive_experiment ( experiment ) : """Archives an experiment"""
redis = oz . redis . create_connection ( ) oz . bandit . Experiment ( redis , experiment ) . archive ( )
def from_description ( cls , table ) : """Factory method that uses the dynamo3 ' describe ' return value"""
throughput = table . provisioned_throughput attrs = { } for data in getattr ( table , "attribute_definitions" , [ ] ) : field = TableField ( data [ "AttributeName" ] , TYPES_REV [ data [ "AttributeType" ] ] ) attrs [ field . name ] = field for data in getattr ( table , "key_schema" , [ ] ) : name = data [ "...
async def parse_response ( response : ClientResponse , schema : dict ) -> Any : """Validate and parse the BMA answer : param response : Response of aiohttp request : param schema : The expected response structure : return : the json data"""
try : data = await response . json ( ) response . close ( ) if schema is not None : jsonschema . validate ( data , schema ) return data except ( TypeError , json . decoder . JSONDecodeError ) as e : raise jsonschema . ValidationError ( "Could not parse json : {0}" . format ( str ( e ) ) )
def get_table_idcb_field ( endianess , data ) : """Return data from a packed TABLE _ IDC _ BFLD bit - field . : param str endianess : The endianess to use when packing values ( ' > ' or ' < ' ) : param str data : The packed and machine - formatted data to parse : rtype : tuple : return : Tuple of ( proc _ n...
bfld = struct . unpack ( endianess + 'H' , data [ : 2 ] ) [ 0 ] proc_nbr = bfld & 2047 std_vs_mfg = bool ( bfld & 2048 ) proc_flag = bool ( bfld & 4096 ) flag1 = bool ( bfld & 8192 ) flag2 = bool ( bfld & 16384 ) flag3 = bool ( bfld & 32768 ) return ( proc_nbr , std_vs_mfg , proc_flag , flag1 , flag2 , flag3 )
def update ( cls , domain , login , options , alias_add , alias_del ) : """Update a mailbox ."""
cls . echo ( 'Updating your mailbox.' ) result = cls . call ( 'domain.mailbox.update' , domain , login , options ) if alias_add or alias_del : current_aliases = cls . info ( domain , login ) [ 'aliases' ] aliases = current_aliases [ : ] if alias_add : for alias in alias_add : if alias no...
def imagetransformer1d_base_8l_64by64 ( ) : """hparams fo 12 layer big 1d model for imagenet 64x64."""
hparams = image_transformer_base ( ) hparams . num_heads = 8 hparams . hidden_size = 512 hparams . filter_size = 2048 hparams . num_decoder_layers = 8 hparams . batch_size = 1 hparams . block_length = 512 hparams . block_width = 768 hparams . layer_prepostprocess_dropout = 0.1 hparams . max_length = 14000 hparams . unc...
def sortSkyCatalog ( self ) : """Sort and clip the source catalog based on the flux range specified by the user . It keeps a copy of the original full list in order to support iteration ."""
if len ( self . all_radec_orig [ 2 ] . nonzero ( ) [ 0 ] ) == 0 : warn_str = "Source catalog NOT trimmed by flux/mag. No fluxes read in for sources!" print ( '\nWARNING: ' , warn_str , '\n' ) log . warning ( warn_str ) return clip_catalog = False clip_prefix = '' for k in sortKeys : for p in self . ...
def cancel_withdraw ( self , address_id ) : """申请取消提现虚拟币 : param address _ id : : return : { " status " : " ok " , " data " : 700"""
params = { } path = f'/v1/dw/withdraw-virtual/{address_id}/cancel' def _wrapper ( _func ) : @ wraps ( _func ) def handle ( ) : _func ( api_key_post ( params , path ) ) return handle return _wrapper
def canonical_url ( configs , endpoint_type = PUBLIC ) : """Returns the correct HTTP URL to this host given the state of HTTPS configuration , hacluster and charm configuration . : param configs : OSTemplateRenderer config templating object to inspect for a complete https context . : param endpoint _ type :...
scheme = _get_scheme ( configs ) address = resolve_address ( endpoint_type ) if is_ipv6 ( address ) : address = "[{}]" . format ( address ) return '%s://%s' % ( scheme , address )
def write_message ( self , message ) : """Writes a message to this chat connection ' s handler"""
logging . debug ( "Sending message {mes} to {usr}" . format ( mes = message , usr = self . id ) ) self . handler . write_message ( message )
def getItem ( self , itemId ) : """gets the refernce to the Items class which manages content on a given AGOL or Portal site ."""
url = "%s/items/%s" % ( self . root , itemId ) return Item ( url = url , securityHandler = self . _securityHandler , proxy_url = self . _proxy_url , proxy_port = self . _proxy_port )
def create_packages ( self ) : """Create missing packages joining the vendor root to the base of the vendored distribution . For example , given a root at ` ` / home / jake / dev / pantsbuild / pex ` ` and a vendored distribution at ` ` pex / vendor / _ vendored / requests ` ` this method would create the follo...
for index , _ in enumerate ( self . _subpath_components ) : relpath = _PACKAGE_COMPONENTS + self . _subpath_components [ : index + 1 ] + [ '__init__.py' ] touch ( os . path . join ( self . ROOT , * relpath ) )
def parse_uri ( value ) : """Parses a value into a head and tail pair based on the finding the last ' # ' or ' / ' as is standard with URI fromats args : value : string value to parse returns : tuple : ( lookup , end )"""
value = RdfNsManager . clean_iri ( value ) lookup = None end = None try : lookup = value [ : value . rindex ( '#' ) + 1 ] end = value [ value . rindex ( '#' ) + 1 : ] except ValueError : try : lookup = value [ : value . rindex ( '/' ) + 1 ] end = value [ value . rindex ( '/' ) + 1 : ] ex...
def process ( self , useProductionNames = None , optimizeCFF = True ) : """useProductionNames : By default , when value is None , this will rename glyphs using the ' public . postscriptNames ' in then UFO lib . If the mapping is not present , no glyph names are renamed . If the value is False , no glyphs ar...
if useProductionNames is None : useProductionNames = self . ufo . lib . get ( USE_PRODUCTION_NAMES , not self . ufo . lib . get ( GLYPHS_DONT_USE_PRODUCTION_NAMES ) and self . _postscriptNames is not None ) if useProductionNames : self . _rename_glyphs_from_ufo ( ) if optimizeCFF and 'CFF ' in self . otf : ...
def classify ( self , classifier_id , text , ** kwargs ) : """Classify a phrase . Returns label information for the input . The status must be ` Available ` before you can use the classifier to classify text . : param str classifier _ id : Classifier ID to use . : param str text : The submitted phrase . The...
if classifier_id is None : raise ValueError ( 'classifier_id must be provided' ) if text is None : raise ValueError ( 'text must be provided' ) headers = { } if 'headers' in kwargs : headers . update ( kwargs . get ( 'headers' ) ) sdk_headers = get_sdk_headers ( 'natural_language_classifier' , 'V1' , 'class...
def to_bytes_or_none ( value ) : """Converts C char arrays to bytes and C NULL values to None ."""
if value == ffi . NULL : return None elif isinstance ( value , ffi . CData ) : return ffi . string ( value ) else : raise ValueError ( 'Value must be char[] or NULL' )
def find_config_files ( path = [ '~/.vcspull' ] , match = [ '*' ] , filetype = [ 'json' , 'yaml' ] , include_home = False ) : """Return repos from a directory and match . Not recursive . : param path : list of paths to search : type path : list : param match : list of globs to search against : type match : ...
configs = [ ] if include_home is True : configs . extend ( find_home_config_files ( ) ) if isinstance ( path , list ) : for p in path : configs . extend ( find_config_files ( p , match , filetype ) ) return configs else : path = os . path . expanduser ( path ) if isinstance ( match , lis...
def build_uri ( self , id_or_uri ) : """Helps to build the URI from resource id and validate the URI . Args : id _ or _ uri : ID / URI of the resource . Returns : Returns a valid resource URI"""
if not id_or_uri : logger . exception ( RESOURCE_CLIENT_INVALID_ID ) raise ValueError ( RESOURCE_CLIENT_INVALID_ID ) if "/" in id_or_uri : self . validate_resource_uri ( id_or_uri ) return id_or_uri else : return self . _base_uri + "/" + id_or_uri
def median ( self , name , ** kwargs ) : """Median of the distribution ."""
data = self . get ( name , ** kwargs ) return np . percentile ( data , [ 50 ] )
def _wrap_stream_errors ( callable_ ) : """Wrap errors for Unary - Stream and Stream - Stream gRPC callables . The callables that return iterators require a bit more logic to re - map errors when iterating . This wraps both the initial invocation and the iterator of the return value to re - map errors ."""
_patch_callable_name ( callable_ ) @ general_helpers . wraps ( callable_ ) def error_remapped_callable ( * args , ** kwargs ) : try : result = callable_ ( * args , ** kwargs ) return _StreamingResponseIterator ( result ) except grpc . RpcError as exc : six . raise_from ( exceptions . fro...
def _febrl_links ( df ) : """Get the links of a FEBRL dataset ."""
index = df . index . to_series ( ) keys = index . str . extract ( r'rec-(\d+)' , expand = True ) [ 0 ] index_int = numpy . arange ( len ( df ) ) df_helper = pandas . DataFrame ( { 'key' : keys , 'index' : index_int } ) # merge the two frame and make MultiIndex . pairs_df = df_helper . merge ( df_helper , on = 'key' ) [...
def rev ( self , rev ) : """Return a new identity with the given revision"""
d = self . dict d [ 'revision' ] = rev return self . from_dict ( d )
def unionByName ( self , other ) : """Returns a new : class : ` DataFrame ` containing union of rows in this and another frame . This is different from both ` UNION ALL ` and ` UNION DISTINCT ` in SQL . To do a SQL - style set union ( that does deduplication of elements ) , use this function followed by : func ...
return DataFrame ( self . _jdf . unionByName ( other . _jdf ) , self . sql_ctx )
def lower_folded_outputs ( ir_blocks ) : """Lower standard folded output fields into GremlinFoldedContextField objects ."""
folds , remaining_ir_blocks = extract_folds_from_ir_blocks ( ir_blocks ) if not remaining_ir_blocks : raise AssertionError ( u'Expected at least one non-folded block to remain: {} {} ' u'{}' . format ( folds , remaining_ir_blocks , ir_blocks ) ) output_block = remaining_ir_blocks [ - 1 ] if not isinstance ( output_...
def normalize ( X ) : """equivalent to scipy . preprocessing . normalize on sparse matrices , but lets avoid another depedency just for a small utility function"""
X = coo_matrix ( X ) X . data = X . data / sqrt ( bincount ( X . row , X . data ** 2 ) ) [ X . row ] return X
def sum_to_balance ( self ) : """Sum the Legs of the QuerySet to get a ` Balance ` _ object"""
result = self . values ( "amount_currency" ) . annotate ( total = models . Sum ( "amount" ) ) return Balance ( [ Money ( r [ "total" ] , r [ "amount_currency" ] ) for r in result ] )
def _get_distance_scaling_term ( self , C , mag , rrup ) : """Returns the distance scaling parameter"""
return ( C [ "r1" ] + C [ "r2" ] * mag ) * np . log10 ( rrup + C [ "r3" ] )
def serialize_to_json ( self , name , datas ) : """Serialize given datas to any object from assumed JSON string . Arguments : name ( string ) : Name only used inside possible exception message . datas ( dict ) : Datas to serialize . Returns : object : Object depending from JSON content ."""
data_object = datas . get ( 'object' , None ) if data_object is None : msg = ( "JSON reference '{}' lacks of required 'object' variable" ) raise SerializerError ( msg . format ( name ) ) try : content = json . loads ( data_object , object_pairs_hook = OrderedDict ) except json . JSONDecodeError as e : m...
def get_image_entrypoint ( image ) : '''Gets the image entrypoint'''
info = docker_inspect_or_pull ( image ) try : return info [ 'Config' ] [ 'Entrypoint' ] except KeyError as ke : raise DockerError ( 'Failed to inspect image: JSON result missing key {}' . format ( ke ) )
def _convert_to_fill ( cls , fill_dict ) : """Convert ` ` fill _ dict ` ` to an openpyxl v2 Fill object Parameters fill _ dict : dict A dict with one or more of the following keys ( or their synonyms ) , ' fill _ type ' ( ' patternType ' , ' patterntype ' ) ' start _ color ' ( ' fgColor ' , ' fgcolor ' ) ...
from openpyxl . styles import PatternFill , GradientFill _pattern_fill_key_map = { 'patternType' : 'fill_type' , 'patterntype' : 'fill_type' , 'fgColor' : 'start_color' , 'fgcolor' : 'start_color' , 'bgColor' : 'end_color' , 'bgcolor' : 'end_color' , } _gradient_fill_key_map = { 'fill_type' : 'type' , } pfill_kwargs = ...
def run_sparql_on ( q , ontology ) : """Run a SPARQL query ( q ) on a given Ontology ( Enum EOntology )"""
logging . info ( "Connecting to " + ontology . value + " SPARQL endpoint..." ) sparql = SPARQLWrapper ( ontology . value ) logging . info ( "Made wrapper: {}" . format ( sparql ) ) sparql . setQuery ( q ) sparql . setReturnFormat ( JSON ) logging . info ( "Query: {}" . format ( q ) ) results = sparql . query ( ) . conv...
def get_gmn_version ( base_url ) : """Return the version currently running on a GMN instance . ( is _ gmn , version _ or _ error )"""
home_url = d1_common . url . joinPathElements ( base_url , 'home' ) try : response = requests . get ( home_url , verify = False ) except requests . exceptions . ConnectionError as e : return False , str ( e ) if not response . ok : return False , 'invalid /home. status={}' . format ( response . status_code ...
def animate ( self , images , delay = .25 ) : """Displays each of the input images in order , pausing for " delay " seconds after each image . Keyword arguments : image - - An iterable collection of Image objects . delay - - How many seconds to wait after displaying an image before displaying the next one...
for image in images : # Draw the image on the display buffer . self . set_image ( image ) # Draw the buffer to the display hardware . self . write_display ( ) time . sleep ( delay )
def redirect_territory ( level , code ) : """Implicit redirect given the INSEE code . Optimistically redirect to the latest valid / known INSEE code ."""
territory = GeoZone . objects . valid_at ( datetime . now ( ) ) . filter ( code = code , level = 'fr:{level}' . format ( level = level ) ) . first ( ) return redirect ( url_for ( 'territories.territory' , territory = territory ) )
def DisplayGetter ( accessor , * args , ** kwargs ) : """Returns a Getter that gets the display name for a model field with choices ."""
short_description = get_pretty_name ( accessor ) accessor = 'get_%s_display' % accessor getter = Getter ( accessor , * args , ** kwargs ) getter . short_description = short_description return getter
def resize_imgs ( fnames , targ , path , new_path , resume = True , fn = None ) : """Enlarge or shrink a set of images in the same directory to scale , such that the smaller of the height or width dimension is equal to targ . Note : - - This function is multithreaded for efficiency . - - When destination file...
target_path = path_for ( path , new_path , targ ) if resume : subdirs = { os . path . dirname ( p ) for p in fnames } subdirs = { s for s in subdirs if os . path . exists ( os . path . join ( target_path , s ) ) } already_resized_fnames = set ( ) for subdir in subdirs : files = [ os . path . joi...
def _line_load ( network , grid , crit_lines ) : """Checks for over - loading issues of lines . Parameters network : : class : ` ~ . grid . network . Network ` grid : : class : ` ~ . grid . grids . LVGrid ` or : class : ` ~ . grid . grids . MVGrid ` crit _ lines : : pandas : ` pandas . DataFrame < dataframe...
if isinstance ( grid , LVGrid ) : grid_level = 'lv' else : grid_level = 'mv' for line in list ( grid . graph . lines ( ) ) : i_line_allowed_per_case = { } i_line_allowed_per_case [ 'feedin_case' ] = line [ 'line' ] . type [ 'I_max_th' ] * line [ 'line' ] . quantity * network . config [ 'grid_expansion_l...
def import_agent ( self , parent , agent_uri = None , agent_content = None , retry = google . api_core . gapic_v1 . method . DEFAULT , timeout = google . api_core . gapic_v1 . method . DEFAULT , metadata = None ) : """Imports the specified agent from a ZIP file . Uploads new intents and entity types without delet...
# Wrap the transport method to add retry and timeout logic . if 'import_agent' not in self . _inner_api_calls : self . _inner_api_calls [ 'import_agent' ] = google . api_core . gapic_v1 . method . wrap_method ( self . transport . import_agent , default_retry = self . _method_configs [ 'ImportAgent' ] . retry , defa...
def create_dialog_node ( self , workspace_id , dialog_node , description = None , conditions = None , parent = None , previous_sibling = None , output = None , context = None , metadata = None , next_step = None , title = None , node_type = None , event_name = None , variable = None , actions = None , digress_in = None...
if workspace_id is None : raise ValueError ( 'workspace_id must be provided' ) if dialog_node is None : raise ValueError ( 'dialog_node must be provided' ) if output is not None : output = self . _convert_model ( output , DialogNodeOutput ) if next_step is not None : next_step = self . _convert_model ( ...
def get_output ( self , include_exceptions = False ) : """Return the output in the correct ordering . : rtype : list [ Tuple [ contentitem , O ] ]"""
# Order all rendered items in the correct sequence . # Don ' t assume the derived tables are in perfect shape , hence the dict + KeyError handling . # The derived tables could be truncated / reset or store _ output ( ) could be omitted . ordered_output = [ ] for item_id in self . output_ordering : contentitem = sel...
def _parse_results ( self , raw_results , includes_qualifiers ) : """Parse WMI query results in a more comprehensive form . Returns : List of WMI objects ' freemegabytes ' : 19742.0, ' name ' : ' C : ' , ' avgdiskbytesperwrite ' : 1536.0 ' freemegabytes ' : 19742.0, ' name ' : ' D : ' , ' avgdiskbytes...
results = [ ] for res in raw_results : # Ensure all properties are available . Use case - insensitivity # because some properties are returned with different cases . item = CaseInsensitiveDict ( ) for prop_name in self . property_names : item [ prop_name ] = None for wmi_property in res . Properties...
def join_group_with_token ( self , group_hashtag , group_jid , join_token ) : """Tries to join into a specific group , using a cryptographic token that was received earlier from a search : param group _ hashtag : The public hashtag of the group into which to join ( like ' # Music ' ) : param group _ jid : The J...
log . info ( "[+] Trying to join the group '{}' with JID {}" . format ( group_hashtag , group_jid ) ) return self . _send_xmpp_element ( roster . GroupJoinRequest ( group_hashtag , join_token , group_jid ) )
def __json_strnum_to_bignum ( json_object ) : """Converts json string numerals to native python bignums ."""
for key in ( 'id' , 'week' , 'in_reply_to_id' , 'in_reply_to_account_id' , 'logins' , 'registrations' , 'statuses' ) : if ( key in json_object and isinstance ( json_object [ key ] , six . text_type ) ) : try : json_object [ key ] = int ( json_object [ key ] ) except ValueError : ...
def set_swimlane ( self , value ) : """Store record ids in separate location for later use , but ignore initial value"""
# Move single record into list to be handled the same by cursor class if not self . multiselect : if value and not isinstance ( value , list ) : value = [ value ] # Values come in as a list of record ids or None value = value or [ ] records = SortedDict ( ) for record_id in value : records [ record_id ]...
def fstat_sig ( self ) : """p - value of the F - statistic ."""
return 1.0 - scs . f . cdf ( self . fstat , self . df_reg , self . df_err )
def get_path ( self , origX , origY , destX , destY ) : """Get the shortest path from origXY to destXY . Returns : List [ Tuple [ int , int ] ] : Returns a list walking the path from orig to dest . This excludes the starting point and includes the destination . If no path is found then an empty list is re...
return super ( AStar , self ) . get_path ( origX , origY , destX , destY )
def is_call ( self , call ) : """Locate genotypes with a given call . Parameters call : array _ like , int , shape ( ploidy , ) The genotype call to find . Returns out : ndarray , bool , shape ( n _ variants , n _ samples ) Array where elements are True if the genotype is ` call ` . Examples > > > i...
# guard conditions if not len ( call ) == self . shape [ - 1 ] : raise ValueError ( 'invalid call ploidy: %s' , repr ( call ) ) if self . ndim == 2 : call = np . asarray ( call ) [ np . newaxis , : ] else : call = np . asarray ( call ) [ np . newaxis , np . newaxis , : ] out = np . all ( self . values == ca...
def item_selection_changed ( self ) : """List widget item selection change handler ."""
row = self . current_row ( ) if self . count ( ) and row >= 0 : if '</b></big><br>' in self . list . currentItem ( ) . text ( ) and row == 0 : self . next_row ( ) if self . mode == self . FILE_MODE : try : stack_index = self . paths . index ( self . filtered_path [ row ] ) ...
def manage_git_folder ( gh_token , temp_dir , git_id , * , pr_number = None ) : """Context manager to avoid readonly problem while cleanup the temp dir . If PR number is given , use magic branches " pull " from Github ."""
_LOGGER . debug ( "Git ID %s" , git_id ) if Path ( git_id ) . exists ( ) : yield git_id return # Do not erase a local folder , just skip here # Clone the specific branch split_git_id = git_id . split ( "@" ) branch = split_git_id [ 1 ] if len ( split_git_id ) > 1 else None clone_to_path ( gh_token , temp_dir , ...
def canonicalize ( assess_id ) : """Takes an assessment / question ' s ID and canonicalizeicalizes it across iterations of a course ."""
hash_regex = re . compile ( r'\w{32}' ) lines = assess_id . split ( '\n' ) canon_lines = [ ] parsing_code = False for line in lines : line = line . strip ( ) if not parsing_code and len ( line ) > 0 : for prompt in DICT_PROMPT_TO_CHARACTER : if line . startswith ( prompt ) : ...
def validateMembership ( likelihood , p , mc_source_id = 1 ) : """Plot membership probabilities and MC source ids together ."""
cut_mc_source_id = ( likelihood . catalog . mc_source_id == mc_source_id ) # Spatial projector = ugali . utils . projector . Projector ( likelihood . kernel . lon , likelihood . kernel . lat ) x , y = projector . sphereToImage ( likelihood . catalog . lon , likelihood . catalog . lat ) pylab . figure ( ) pylab . scatte...