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def get_hub ( ) : """Return the instance of the hub ."""
try : hub = _local . hub except AttributeError : # The Hub can only be instantiated from the root fiber . No other fibers # can run until the Hub is there , so the root will always be the first # one to call get _ hub ( ) . assert fibers . current ( ) . parent is None hub = _local . hub = Hub ( ) return hub
def filter ( self , ** kwargs ) : """Add a filter to this C { readsAlignments } . @ param kwargs : Keyword arguments , as accepted by C { ReadsAlignmentsFilter } . @ return : C { self }"""
self . _filters . append ( ReadsAlignmentsFilter ( ** kwargs ) . filter ) return self
def comprehension_walk3 ( self , node , iter_index , code_index = - 5 ) : """List comprehensions the way they are done in Python3. They ' re more other comprehensions , e . g . set comprehensions See if we can combine code ."""
p = self . prec self . prec = 27 code = node [ code_index ] . attr assert iscode ( code ) , node [ code_index ] code_name = code . co_name code = Code ( code , self . scanner , self . currentclass ) ast = self . build_ast ( code . _tokens , code . _customize ) self . customize ( code . _customize ) if ast [ 0 ] == 'sst...
def _get_vcpu_field_and_address ( self , field_name , x , y , p ) : """Get the field and address for a VCPU struct field ."""
vcpu_struct = self . structs [ b"vcpu" ] field = vcpu_struct [ six . b ( field_name ) ] address = ( self . read_struct_field ( "sv" , "vcpu_base" , x , y ) + vcpu_struct . size * p ) + field . offset pack_chars = b"<" + field . pack_chars return field , address , pack_chars
def parse_structure ( self , node ) : """Parses < Structure > @ param node : Node containing the < Structure > element @ type node : xml . etree . Element"""
self . current_structure = self . current_component_type . structure self . process_nested_tags ( node ) self . current_structure = None
def ui_func ( cls , id_ , name , function_type , avail_fn = always ) : """Define a function representing a ui action ."""
return cls ( id_ , name , 0 , 0 , function_type , FUNCTION_TYPES [ function_type ] , avail_fn )
def init_model_gaussian1d ( observations , nstates , reversible = True ) : """Generate an initial model with 1D - Gaussian output densities Parameters observations : list of ndarray ( ( T _ i ) , dtype = float ) list of arrays of length T _ i with observation data nstates : int The number of states . Ex...
ntrajectories = len ( observations ) # Concatenate all observations . collected_observations = np . array ( [ ] , dtype = config . dtype ) for o_t in observations : collected_observations = np . append ( collected_observations , o_t ) # Fit a Gaussian mixture model to obtain emission distributions and state station...
def upload ( self , env , cart , callback = None ) : """Nothing special happens here . This method recieves a destination repo , and a payload of ` cart ` which will be uploaded into the target repo . Preparation : To use this method you must pre - process your cart : Remotes must be fetched and saved local...
for repo in cart . repos ( ) : if not juicer . utils . repo_exists_p ( repo , self . connectors [ env ] , env ) : juicer . utils . Log . log_info ( "repo '%s' doesn't exist in %s environment... skipping!" , ( repo , env ) ) continue repoid = "%s-%s" % ( repo , env ) for item in cart [ repo ]...
def word_matches ( s1 , s2 , n = 3 ) : """Word - level n - grams that match between two strings Args : s1 : a string s2 : another string n : an int for the n in n - gram Returns : set : the n - grams found in both strings"""
return __matches ( s1 , s2 , word_ngrams , n = n )
def _get_nadir_pixel ( earth_mask , sector ) : """Find the nadir pixel Args : earth _ mask : Mask identifying earth and space pixels sector : Specifies the scanned sector Returns : nadir row , nadir column"""
if sector == FULL_DISC : logger . debug ( 'Computing nadir pixel' ) # The earth is not centered in the image , compute bounding box # of the earth disc first rmin , rmax , cmin , cmax = bbox ( earth_mask ) # The nadir pixel is approximately at the centre of the earth disk nadir_row = rmin + ( rm...
def get_group_tree_root ( self , page_size = 1000 ) : r"""Return the root group for this accounts ' group tree This will return the root group for this tree but with all links between nodes ( i . e . children starting from root ) populated . Examples : : # print the group hierarchy to stdout dc . deviceco...
# first pass , build mapping group_map = { } # map id - > group page_size = validate_type ( page_size , * six . integer_types ) for group in self . get_groups ( page_size = page_size ) : group_map [ group . get_id ( ) ] = group # second pass , find root and populate list of children for each node root = None for gr...
def send_to_cloudshark ( self , id , seq , intf , inline = False ) : # pylint : disable = invalid - name , redefined - builtin """Send a capture to a CloudShark Appliance . Both cloudshark _ appliance _ url and cloudshark _ appliance _ token must be properly configured via system preferences . : param id : Re...
schema = CloudSharkSchema ( ) resp = self . service . post ( self . _base ( id , seq ) + str ( intf ) + '/cloudshark/' , params = { 'inline' : inline } ) return self . service . decode ( schema , resp )
def get_shape_infos ( df_shapes , shape_i_columns ) : '''Return a ` pandas . DataFrame ` indexed by ` shape _ i _ columns ` ( i . e . , each row corresponds to a single shape / polygon ) , containing the following columns : - ` area ` : The area of the shape . - ` width ` : The width of the widest part of the...
shape_areas = get_shape_areas ( df_shapes , shape_i_columns ) bboxes = get_bounding_boxes ( df_shapes , shape_i_columns ) return bboxes . join ( pd . DataFrame ( shape_areas ) )
async def _base_request ( self , battle_tag : str , endpoint_name : str , session : aiohttp . ClientSession , * , platform = None , handle_ratelimit = None , max_tries = None , request_timeout = None ) : """Does a request to some endpoint . This is also where ratelimit logic is handled ."""
# We check the different optional arguments , and if they ' re not passed ( are none ) we set them to the default for the client object if platform is None : platform = self . default_platform if handle_ratelimit is None : handle_ratelimit = self . default_handle_ratelimit if max_tries is None : max_tries =...
def _load_source_object ( self ) : """Loads related object in a dynamic attribute and returns it ."""
if hasattr ( self , "source_obj" ) : self . source_text = getattr ( self . source_obj , self . field ) return self . source_obj self . _load_source_model ( ) self . source_obj = self . source_model . objects . get ( id = self . object_id ) return self . source_obj
def operator_complement ( self ) : """Get a ` ` LinearOperator ` ` corresponding to apply _ complement ( ) . : return : a LinearOperator that calls apply _ complement ( ) ."""
# is projection the zero operator ? - - > complement is identity if self . V . shape [ 1 ] == 0 : N = self . V . shape [ 0 ] return IdentityLinearOperator ( ( N , N ) ) return self . _get_operator ( self . apply_complement , self . apply_complement_adj )
def minimize_source ( source ) : """Remove comments and docstrings from Python ` source ` , preserving line numbers and syntax of empty blocks . : param str source : The source to minimize . : returns str : The minimized source ."""
source = mitogen . core . to_text ( source ) tokens = tokenize . generate_tokens ( StringIO ( source ) . readline ) tokens = strip_comments ( tokens ) tokens = strip_docstrings ( tokens ) tokens = reindent ( tokens ) return tokenize . untokenize ( tokens )
def overlay_gateway_gw_type ( self , ** kwargs ) : """Auto Generated Code"""
config = ET . Element ( "config" ) overlay_gateway = ET . SubElement ( config , "overlay-gateway" , xmlns = "urn:brocade.com:mgmt:brocade-tunnels" ) name_key = ET . SubElement ( overlay_gateway , "name" ) name_key . text = kwargs . pop ( 'name' ) gw_type = ET . SubElement ( overlay_gateway , "gw-type" ) gw_type . text ...
def degrees_of_freedom ( model ) : """Return the degrees of freedom , i . e . , number of " free variables " . Parameters model : cobra . Model The metabolic model under investigation . Notes This specifically refers to the dimensionality of the ( right ) null space of the stoichiometric matrix , as dim...
s_matrix , _ , _ = con_helpers . stoichiometry_matrix ( model . metabolites , model . reactions ) return s_matrix . shape [ 1 ] - matrix_rank ( model )
def p_propositional ( self , p ) : """propositional : propositional EQUIVALENCE propositional | propositional IMPLIES propositional | propositional OR propositional | propositional AND propositional | NOT propositional | FALSE | TRUE | ATOM"""
if len ( p ) == 4 : if p [ 2 ] == Symbols . EQUIVALENCE . value : p [ 0 ] = PLEquivalence ( [ p [ 1 ] , p [ 3 ] ] ) elif p [ 2 ] == Symbols . IMPLIES . value : p [ 0 ] = PLImplies ( [ p [ 1 ] , p [ 3 ] ] ) elif p [ 2 ] == Symbols . OR . value : p [ 0 ] = PLOr ( [ p [ 1 ] , p [ 3 ] ] ...
def extract_name ( self , data ) : """Extract man page name from web page ."""
name = re . search ( '<h1[^>]*>(.+?)</h1>' , data ) . group ( 1 ) name = re . sub ( r'<([^>]+)>' , r'' , name ) name = re . sub ( r'&gt;' , r'>' , name ) name = re . sub ( r'&lt;' , r'<' , name ) return name
def run ( self , scheduler_schedule_id , ** kwargs ) : """Deactivates the schedule specified by the ID ` scheduler _ schedule _ id ` in the scheduler service . Arguments : scheduler _ schedule _ id { str } - - The ID of the schedule to deactivate"""
log = self . get_logger ( ** kwargs ) self . scheduler . update_schedule ( scheduler_schedule_id , { "active" : False } ) log . info ( "Deactivated schedule %s in the scheduler service" , scheduler_schedule_id )
def _normalize_sort ( sort = None ) : """CONVERT SORT PARAMETERS TO A NORMAL FORM SO EASIER TO USE"""
if sort == None : return FlatList . EMPTY output = FlatList ( ) for s in listwrap ( sort ) : if is_text ( s ) : output . append ( { "value" : jx_expression ( s ) , "sort" : 1 } ) elif is_expression ( s ) : output . append ( { "value" : s , "sort" : 1 } ) elif mo_math . is_integer ( s ) :...
def get_env ( path , ignore_git_branch = False ) : """Determine environment name ."""
if 'DEPLOY_ENVIRONMENT' in os . environ : return os . environ [ 'DEPLOY_ENVIRONMENT' ] if ignore_git_branch : LOGGER . info ( 'Skipping environment lookup from current git branch ' '("ignore_git_branch" is set to true in the runway ' 'config)' ) else : # These are not located with the top imports because they t...
def _create_dicomdir_info ( self ) : """Function crates list of all files in dicom dir with all IDs"""
filelist = files_in_dir ( self . dirpath ) files = [ ] metadataline = { } for filepath in filelist : head , teil = os . path . split ( filepath ) dcmdata = None if os . path . isdir ( filepath ) : logger . debug ( "Subdirectory found in series dir is ignored: " + str ( filepath ) ) continue ...
def syllabify ( self , hierarchy ) : """> > > stanza = " Ein sat hon úti , \\ nþá er inn aldni kom \\ nyggjungr ása \\ nok í augu leit . \\ nHvers fregnið mik ? \\ nHví freistið mín ? \\ nAllt veit ek , Óðinn , \\ nhvar þú auga falt , \\ ní inum mæra \\ nMímisbrunni . \\ nDrekkr mjöð Mímir \\ nmorgun hv...
syllabifier = Syllabifier ( language = "old_norse" , break_geminants = True ) syllabifier . set_hierarchy ( hierarchy ) syllabified_text = [ ] for short_line in self . short_lines : assert isinstance ( short_line , ShortLine ) short_line . syllabify ( syllabifier ) syllabified_text . append ( short_line . s...
def hoverEnterEvent ( self , event ) : """Processes when this hotspot is entered . : param event | < QHoverEvent > : return < bool > | processed"""
self . _hovered = True if self . toolTip ( ) : QToolTip . showText ( QCursor . pos ( ) , self . toolTip ( ) ) return True return self . style ( ) == XNodeHotspot . Style . Icon
def from_dict ( input_dict , data = None ) : """Instantiate an SparseGPClassification object using the information in input _ dict ( built by the to _ dict method ) . : param data : It is used to provide X and Y for the case when the model was saved using save _ data = False in to _ dict method . : type dat...
import GPy m = GPy . core . model . Model . from_dict ( input_dict , data ) from copy import deepcopy sparse_gp = deepcopy ( m ) return SparseGPClassification ( sparse_gp . X , sparse_gp . Y , sparse_gp . Z , sparse_gp . kern , sparse_gp . likelihood , sparse_gp . inference_method , sparse_gp . mean_function , name = '...
def _read_para_hip_cipher ( self , code , cbit , clen , * , desc , length , version ) : """Read HIP HIP _ CIPHER parameter . Structure of HIP HIP _ CIPHER parameter [ RFC 7401 ] : 0 1 2 3 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 | Type | Length | | Cipher ID # 1 | Cipher ID # 2 | ...
if clen % 2 != 0 : raise ProtocolError ( f'HIPv{version}: [Parano {code}] invalid format' ) _cpid = list ( ) for _ in range ( clen // 2 ) : _cpid . append ( _CIPHER_ID . get ( self . _read_unpack ( 2 ) , 'Unassigned' ) ) hip_cipher = dict ( type = desc , critical = cbit , length = clen , id = _cpid , ) _plen = ...
def saveAsTable ( self , name , format = None , mode = None , partitionBy = None , ** options ) : """Saves the content of the : class : ` DataFrame ` as the specified table . In the case the table already exists , behavior of this function depends on the save mode , specified by the ` mode ` function ( default ...
self . mode ( mode ) . options ( ** options ) if partitionBy is not None : self . partitionBy ( partitionBy ) if format is not None : self . format ( format ) self . _jwrite . saveAsTable ( name )
def load_freesurfer_geometry ( filename , to = 'mesh' , warn = False ) : '''load _ freesurfer _ geometry ( filename ) yields the data stored at the freesurfer geometry file given by filename . The optional argument ' to ' may be used to change the kind of data that is returned . The following are valid settin...
if not warn : with warnings . catch_warnings ( ) : warnings . filterwarnings ( 'ignore' , category = UserWarning , module = 'nibabel' ) ( xs , fs , info ) = fsio . read_geometry ( filename , read_metadata = True ) else : ( xs , fs , info ) = fsio . read_geometry ( filename , read_metadata = True...
def list_calculations ( db , job_type , user_name ) : """Yield a summary of past calculations . : param db : a : class : ` openquake . server . dbapi . Db ` instance : param job _ type : ' hazard ' or ' risk ' : param user _ name : an user name"""
jobs = db ( 'SELECT *, %s FROM job WHERE user_name=?x ' 'AND job_type=?x ORDER BY start_time' % JOB_TYPE , user_name , job_type ) out = [ ] if len ( jobs ) == 0 : out . append ( 'None' ) else : out . append ( 'job_id | status | start_time | ' ' description' ) for job in jobs : de...
def plot_emg_graphical_durations ( max_time , min_time , avg_time , std_time ) : """Brief This plotting function ensures a graphical representation of maximum , minimum and average time durations of the muscular activation periods . Description Function intended to generate a single Bokeh figure graphically...
# List that store the figure handler list_figures_1 = [ ] color_1 = "#009EE3" color_2 = "#00893E" color_3 = "#E84D0E" color_4 = "#CF0272" # Plotting of Burst duration distribution list_figures_1 . append ( figure ( x_axis_label = 'Time (s)' , ** opensignals_kwargs ( "figure" ) , x_range = [ 0 , max_time ] , y_range = [...
def stream_logs ( container , timeout = 10.0 , ** logs_kwargs ) : """Stream logs from a Docker container within a timeout . : param ~ docker . models . containers . Container container : Container who ' s log lines to stream . : param timeout : Timeout value in seconds . : param logs _ kwargs : Addition...
stream = container . logs ( stream = True , ** logs_kwargs ) return stream_timeout ( stream , timeout , 'Timeout waiting for container logs.' )
def get_deep_focus ( self , startfrom = None ) : """return the bottom most focussed widget of the widget tree"""
if not startfrom : startfrom = self . current_buffer if 'get_focus' in dir ( startfrom ) : focus = startfrom . get_focus ( ) if isinstance ( focus , tuple ) : focus = focus [ 0 ] if isinstance ( focus , urwid . Widget ) : return self . get_deep_focus ( startfrom = focus ) return startfro...
def get_sub_commands ( parser : argparse . ArgumentParser ) -> List [ str ] : """Get a list of sub - commands for an ArgumentParser"""
sub_cmds = [ ] # Check if this is parser has sub - commands if parser is not None and parser . _subparsers is not None : # Find the _ SubParsersAction for the sub - commands of this parser for action in parser . _subparsers . _actions : if isinstance ( action , argparse . _SubParsersAction ) : f...
def _get_root ( self ) : """get root user password ."""
_DEFAULT_USER_DETAILS = { "level" : 20 , "password" : "" , "sshkeys" : [ ] } root = { } root_table = junos_views . junos_root_table ( self . device ) root_table . get ( ) root_items = root_table . items ( ) for user_entry in root_items : username = "root" user_details = _DEFAULT_USER_DETAILS . copy ( ) user...
def get_best ( self ) : """Finds the optimal number of features : return : optimal number of features and ranking"""
svc = SVC ( kernel = "linear" ) rfecv = RFECV ( estimator = svc , step = 1 , cv = StratifiedKFold ( self . y_train , 2 ) , scoring = "log_loss" ) rfecv . fit ( self . x_train , self . y_train ) return rfecv . n_features_ , rfecv . ranking_
def free_function ( self , name = None , function = None , return_type = None , arg_types = None , header_dir = None , header_file = None , recursive = None ) : """Returns reference to free function declaration that matches a defined criteria ."""
return ( self . _find_single ( scopedef . scopedef_t . _impl_matchers [ namespace_t . free_function ] , name = name , function = function , decl_type = self . _impl_decl_types [ namespace_t . free_function ] , return_type = return_type , arg_types = arg_types , header_dir = header_dir , header_file = header_file , recu...
def _workdaycount ( self , date1 , date2 ) : """( PRIVATE ) Count work days between two dates , ignoring holidays ."""
assert date2 >= date1 date1wd = date1 . weekday ( ) date2wd = date2 . weekday ( ) if not self . weekdaymap [ date2wd ] . isworkday : date2 += datetime . timedelta ( days = self . weekdaymap [ date2wd ] . offsetprev ) date2wd = self . weekdaymap [ date2wd ] . prevworkday if date2 <= date1 : return 0 nw , nd ...
def scan_aggs ( search , source_aggs , inner_aggs = { } , size = 10 ) : """Helper function used to iterate over all possible bucket combinations of ` ` source _ aggs ` ` , returning results of ` ` inner _ aggs ` ` for each . Uses the ` ` composite ` ` aggregation under the hood to perform this ."""
def run_search ( ** kwargs ) : s = search [ : 0 ] s . aggs . bucket ( 'comp' , 'composite' , sources = source_aggs , size = size , ** kwargs ) for agg_name , agg in inner_aggs . items ( ) : s . aggs [ 'comp' ] [ agg_name ] = agg return s . execute ( ) response = run_search ( ) while response . a...
def get_user_info ( remote ) : """Get user information from Globus . See the docs here for v2 / oauth / userinfo : https : / / docs . globus . org / api / auth / reference /"""
response = remote . get ( GLOBUS_USER_INFO_URL ) user_info = get_dict_from_response ( response ) response . data [ 'username' ] = response . data [ 'preferred_username' ] if '@' in response . data [ 'username' ] : user_info [ 'username' ] , _ = response . data [ 'username' ] . split ( '@' ) return user_info
def list_solvers ( args = None ) : """Entry point for listing available solvers ."""
parser = argparse . ArgumentParser ( description = '''List LP solver available in PSAMM. This will produce a list of all of the available LP solvers in prioritized order. Addtional requirements can be imposed with the arguments (e.g. integer=yes to se...
def get_api_publisher ( self , social_user ) : """owner _ id - VK user or group from _ group - 1 by group , 0 by user message - text attachments - comma separated links or VK resources ID ' s and other https : / / vk . com / dev . php ? method = wall . post"""
def _post ( ** kwargs ) : api = self . get_api ( social_user ) response = api . wall . post ( ** kwargs ) return response return _post
def get_language ( ) : """Returns an active language code that is guaranteed to be in settings . SUPPORTED _ LANGUAGES ."""
lang = _get_language ( ) if not lang : return get_fallback_language ( ) langs = [ l [ 0 ] for l in settings . SUPPORTED_LANGUAGES ] if lang not in langs and "-" in lang : lang = lang . split ( "-" ) [ 0 ] if lang in langs : return lang return settings . DEFAULT_LANGUAGE
def __get_fault ( self , replyroot ) : """Extract fault information from a SOAP reply . Returns an I { unmarshalled } fault L { Object } or None in case the given XML document does not contain a SOAP < Fault > element . @ param replyroot : A SOAP reply message root XML element or None . @ type replyroot : L...
envns = suds . bindings . binding . envns soapenv = replyroot and replyroot . getChild ( "Envelope" , envns ) soapbody = soapenv and soapenv . getChild ( "Body" , envns ) fault = soapbody and soapbody . getChild ( "Fault" , envns ) return fault is not None and UmxBasic ( ) . process ( fault )
def get_supported_boot_mode ( self ) : """Get the system supported boot modes . : return : any one of the following proliantutils . ilo . constants : SUPPORTED _ BOOT _ MODE _ LEGACY _ BIOS _ ONLY , SUPPORTED _ BOOT _ MODE _ UEFI _ ONLY , SUPPORTED _ BOOT _ MODE _ LEGACY _ BIOS _ AND _ UEFI : raises : Ilo...
sushy_system = self . _get_sushy_system ( PROLIANT_SYSTEM_ID ) try : return SUPPORTED_BOOT_MODE_MAP . get ( sushy_system . supported_boot_mode ) except sushy . exceptions . SushyError as e : msg = ( self . _ ( 'The Redfish controller failed to get the ' 'supported boot modes. Error: %s' ) % e ) LOG . debug ...
def _get_normalized_columns ( cls , list_ ) : """: param list _ : list of dict : return : list of string of every key in all the dictionaries"""
ret = [ ] for row in list_ : if len ( row . keys ( ) ) > len ( ret ) : ret = cls . _ordered_keys ( row ) for row in list_ : for key in row . keys ( ) : if key not in ret : ret . append ( key ) if not isinstance ( row , OrderedDict ) : ret . sort ( ) return...
def _unscramble_regressor_columns ( parent_data , data ) : """Reorder the columns of a confound matrix such that the columns are in the same order as the input data with any expansion columns inserted immediately after the originals ."""
matches = [ '_power[0-9]+' , '_derivative[0-9]+' ] var = OrderedDict ( ( c , deque ( ) ) for c in parent_data . columns ) for c in data . columns : col = c for m in matches : col = re . sub ( m , '' , col ) if col == c : var [ col ] . appendleft ( c ) else : var [ col ] . append ...
def extant_item ( arg , arg_type ) : """Determine if parser argument is an existing file or directory . This technique comes from http : / / stackoverflow . com / a / 11541450/95592 and from http : / / stackoverflow . com / a / 11541495/95592 Args : arg : parser argument containing filename to be checked ...
if arg_type == "file" : if not os . path . isfile ( arg ) : raise argparse . ArgumentError ( None , "The file {arg} does not exist." . format ( arg = arg ) ) else : # File exists so return the filename return arg elif arg_type == "directory" : if not os . path . isdir ( arg ) : raise...
def namedb_select_count_rows ( cur , query , args , count_column = 'COUNT(*)' ) : """Execute a SELECT COUNT ( * ) . . . query and return the number of rows ."""
count_rows = namedb_query_execute ( cur , query , args ) count = 0 for r in count_rows : count = r [ count_column ] break return count
def bmgs ( ctx , event ) : """[ bookie ] List betting market groups for an event : param str event : Event id"""
eg = Event ( event , peerplays_instance = ctx . peerplays ) click . echo ( pretty_print ( eg . bettingmarketgroups , ctx = ctx ) )
def runner ( name , arg = None , kwarg = None , full_return = False , saltenv = 'base' , jid = None , asynchronous = False , ** kwargs ) : '''Execute a runner function . This function must be run on the master , either by targeting a minion running on a master or by using salt - call on a master . . . version...
if arg is None : arg = [ ] if kwarg is None : kwarg = { } jid = kwargs . pop ( '__orchestration_jid__' , jid ) saltenv = kwargs . pop ( '__env__' , saltenv ) kwargs = salt . utils . args . clean_kwargs ( ** kwargs ) if kwargs : kwarg . update ( kwargs ) if 'master_job_cache' not in __opts__ : master_con...
def _build ( self , inputs ) : """Connects the LayerNorm module into the graph . Args : inputs : a Tensor of dimensionality > = 2. Returns : normalized : layer normalized outputs with same shape as inputs . Raises : base . NotSupportedError : If ` inputs ` has less than 2 dimensions ."""
if self . _axis is None : axis = list ( range ( 1 , inputs . shape . ndims ) ) else : axis = self . _axis original_dtype = inputs . dtype if original_dtype in [ tf . float16 , tf . bfloat16 ] : inputs = tf . cast ( inputs , tf . float32 ) if inputs . get_shape ( ) . ndims < 2 : raise base . NotSupported...
def get_nets_other ( self , response ) : """The function for parsing network blocks from generic whois data . Args : response ( : obj : ` str ` ) : The response from the whois / rwhois server . Returns : list of dict : Mapping of networks with start and end positions . ' cidr ' ( str ) - The network routi...
nets = [ ] # Iterate through all of the networks found , storing the CIDR value # and the start and end positions . for match in re . finditer ( r'^(inetnum|inet6num|route):[^\S\n]+((.+?)[^\S\n]-[^\S\n](.+)|' '.+)$' , response , re . MULTILINE ) : try : net = copy . deepcopy ( BASE_NET ) net_range =...
def cmd ( send , msg , args ) : """Nukes somebody . Syntax : { command } < target >"""
c , nick = args [ 'handler' ] . connection , args [ 'nick' ] channel = args [ 'target' ] if args [ 'target' ] != 'private' else args [ 'config' ] [ 'core' ] [ 'channel' ] if not msg : send ( "Nuke who?" ) return with args [ 'handler' ] . data_lock : users = args [ 'handler' ] . channels [ channel ] . users ...
def queueStream ( self , rdds , oneAtATime = True , default = None ) : """Create stream iterable over RDDs . : param rdds : Iterable over RDDs or lists . : param oneAtATime : Process one at a time or all . : param default : If no more RDDs in ` ` rdds ` ` , return this . Can be None . : rtype : DStream Ex...
deserializer = QueueStreamDeserializer ( self . _context ) if default is not None : default = deserializer ( default ) if Queue is False : log . error ( 'Run "pip install tornado" to install tornado.' ) q = Queue ( ) for i in rdds : q . put ( i ) qstream = QueueStream ( q , oneAtATime , default ) return DSt...
def md5 ( self ) : """Return md5 from meta , or compute it if absent ."""
md5 = self . meta . get ( "md5" ) if md5 is None : md5 = str ( hashlib . md5 ( self . value ) . hexdigest ( ) ) return md5
import re def validate_decimal ( decimal_str ) : """Uses regular expressions to check whether a given number is a decimal with two decimal places . Examples : > > > validate _ decimal ( ' 123.11 ' ) True > > > validate _ decimal ( ' 0.21 ' ) True > > > validate _ decimal ( ' 123.1214 ' ) False Args ...
pattern = re . compile ( '^[0-9]+(\.[0-9]{1,2})?$' ) match_result = pattern . search ( decimal_str ) return bool ( match_result )
def get_container_stop_kwargs ( self , action , container_name , kwargs = None ) : """Generates keyword arguments for the Docker client to stop a container . : param action : Action configuration . : type action : ActionConfig : param container _ name : Container name or id . : type container _ name : unico...
c_kwargs = dict ( container = container_name , ) stop_timeout = action . config . stop_timeout if stop_timeout is NotSet : timeout = action . client_config . get ( 'stop_timeout' ) if timeout is not None : c_kwargs [ 'timeout' ] = timeout elif stop_timeout is not None : c_kwargs [ 'timeout' ] = stop...
def unshift ( self , chunk ) : """Pushes a chunk of data back into the internal buffer . This is useful in certain situations where a stream is being consumed by code that needs to " un - consume " some amount of data that it has optimistically pulled out of the source , so that the data can be passed on to s...
if chunk : self . _pos -= len ( chunk ) self . _unconsumed . append ( chunk )
def detectWebOSTablet ( self ) : """Return detection of an HP WebOS tablet Detects if the current browser is on an HP tablet running WebOS ."""
return UAgentInfo . deviceWebOShp in self . __userAgent and UAgentInfo . deviceTablet in self . __userAgent
def _rename_node ( self , name , new_name ) : """Rename node private method . No argument validation and usage of getter / setter private methods is used for speed"""
# Update parent if not self . is_root ( name ) : parent = self . _db [ name ] [ "parent" ] self . _db [ parent ] [ "children" ] . remove ( name ) self . _db [ parent ] [ "children" ] = sorted ( self . _db [ parent ] [ "children" ] + [ new_name ] ) # Update children iobj = self . _get_subtree ( name ) if nam...
def static_url ( context , static_file_path ) : """Filter for generating urls for static files . NOTE : you ' ll need to set app [ ' static _ root _ url ' ] to be used as the root for the urls returned . Usage : { { static ( ' styles . css ' ) } } might become " / static / styles . css " or " http : / / myc...
app = context [ 'app' ] try : static_url = app [ 'static_root_url' ] except KeyError : raise RuntimeError ( "app does not define a static root url " "'static_root_url', you need to set the url root " "with app['static_root_url'] = '<static root>'." ) from None return '{}/{}' . format ( static_url . rstrip ( '/'...
def get_default_mimetype ( self ) : """Returns the default mimetype"""
mimetype = self . default_mimetype if mimetype is None : # class inherits from module default mimetype = DEFAULT_MIMETYPE if mimetype is None : # module is set to None ? mimetype = 'application/rdf+xml' return mimetype
def legion_create_handler ( obj ) : """Signal handlers can ' t be standard class methods because the signal callback does not include the object reference ( self ) . To work around this we use a closure the carry the object reference ."""
def _handler ( sig , frame ) : obj . _sig_handler ( sig , frame ) if '_sig_handler' not in dir ( obj ) : # pragma : no cover raise Excecption ( "Object instance has no _sig_handler method" ) return _handler
def download ( self , force = False , silent = False ) : """Download from URL ."""
def _download ( ) : if self . url . startswith ( "http" ) : self . _download_http ( silent = silent ) elif self . url . startswith ( "ftp" ) : self . _download_ftp ( silent = silent ) else : raise ValueError ( "Invalid URL %s" % self . url ) logger . debug ( "Moving %s to %s" % (...
def get_form ( self , form_class ) : """Returns an instance of the form to be used in this view ."""
if not hasattr ( self , '_form' ) : kwargs = self . get_form_kwargs ( ) self . _form = form_class ( instance = self . object , ** kwargs ) return self . _form
def get_openshift_base_uri ( self ) : """https : / / < host > [ : < port > ] / : return : str"""
deprecated_key = "openshift_uri" key = "openshift_url" val = self . _get_value ( deprecated_key , self . conf_section , deprecated_key ) if val is not None : warnings . warn ( "%r is deprecated, use %r instead" % ( deprecated_key , key ) ) return val return self . _get_value ( key , self . conf_section , key )
def _route ( self , mapper ) : """Set up the route ( s ) corresponding to the limit . This controls which limits are checked against the request . : param mapper : The routes . Mapper object to add the route to ."""
# Build up the keyword arguments to feed to connect ( ) kwargs = dict ( conditions = dict ( function = self . _filter ) ) # Restrict the verbs if self . verbs : kwargs [ 'conditions' ] [ 'method' ] = self . verbs # Add requirements , if provided if self . requirements : kwargs [ 'requirements' ] = self . requir...
def collapse_substrings ( variant_sequences ) : """Combine shorter sequences which are fully contained in longer sequences . Parameters variant _ sequences : list List of VariantSequence objects Returns a ( potentially shorter ) list without any contained subsequences ."""
if len ( variant_sequences ) <= 1 : # if we don ' t have at least two VariantSequences then just # return your input return variant_sequences # dictionary mapping VariantSequence objects to lists of reads # they absorb from substring VariantSequences extra_reads_from_substrings = defaultdict ( set ) result_list = [...
def account_data ( self , address , key ) : """This endpoint represents a single data associated with a given account . ` GET / accounts / { account } / data / { key } < https : / / www . stellar . org / developers / horizon / reference / endpoints / data - for - account . html > ` _ : param str address : T...
endpoint = '/accounts/{account_id}/data/{data_key}' . format ( account_id = address , data_key = key ) return self . query ( endpoint )
def _refresh_grains_watcher ( self , refresh_interval_in_minutes ) : '''Create a loop that will fire a pillar refresh to inform a master about a change in the grains of this minion : param refresh _ interval _ in _ minutes : : return : None'''
if '__update_grains' not in self . opts . get ( 'schedule' , { } ) : if 'schedule' not in self . opts : self . opts [ 'schedule' ] = { } self . opts [ 'schedule' ] . update ( { '__update_grains' : { 'function' : 'event.fire' , 'args' : [ { } , 'grains_refresh' ] , 'minutes' : refresh_interval_in_minutes...
def parse_var ( var ) : """Returns a tuple consisting of a string and a tag , or None , if none is specified ."""
bits = var . split ( "<" , 1 ) if len ( bits ) < 2 : tag = None else : tag = bits [ 1 ] return ucn_to_unicode ( bits [ 0 ] ) , tag
def delete_session_entity_type ( self , name , retry = google . api_core . gapic_v1 . method . DEFAULT , timeout = google . api_core . gapic_v1 . method . DEFAULT , metadata = None ) : """Deletes the specified session entity type . Example : > > > import dialogflow _ v2 > > > client = dialogflow _ v2 . Sessio...
# Wrap the transport method to add retry and timeout logic . if 'delete_session_entity_type' not in self . _inner_api_calls : self . _inner_api_calls [ 'delete_session_entity_type' ] = google . api_core . gapic_v1 . method . wrap_method ( self . transport . delete_session_entity_type , default_retry = self . _metho...
def duration ( self ) : """Return the duration in seconds ."""
with self . container . open_if_needed ( mode = 'r' ) as cnt : samples , sr = cnt . get ( self . key ) return samples . shape [ 0 ] / sr
def whitelist ( ctx , whitelist_account , account ) : """Add an account to a whitelist"""
account = Account ( account , blockchain_instance = ctx . blockchain ) print_tx ( account . whitelist ( whitelist_account ) )
def makedirs ( path ) : """Equivalent to mkdir - p . Args : path ( str ) : the path to mkdir - p Raises : ScriptWorkerException : if path exists already and the realpath is not a dir ."""
if path : if not os . path . exists ( path ) : log . debug ( "makedirs({})" . format ( path ) ) os . makedirs ( path ) else : realpath = os . path . realpath ( path ) if not os . path . isdir ( realpath ) : raise ScriptWorkerException ( "makedirs: {} already exists an...
def build_path ( entities , path_patterns , strict = False ) : """Constructs a path given a set of entities and a list of potential filename patterns to use . Args : entities ( dict ) : A dictionary mapping entity names to entity values . path _ patterns ( str , list ) : One or more filename patterns to wri...
path_patterns = listify ( path_patterns ) # Loop over available patherns , return first one that matches all for pattern in path_patterns : # If strict , all entities must be contained in the pattern if strict : defined = re . findall ( r'\{(.*?)(?:<[^>]+>)?\}' , pattern ) if set ( entities . keys (...
def upgrade_available ( pkg , bin_env = None , user = None , cwd = None ) : '''. . versionadded : : 2015.5.0 Check whether or not an upgrade is available for a given package CLI Example : . . code - block : : bash salt ' * ' pip . upgrade _ available < package name >'''
return pkg in list_upgrades ( bin_env = bin_env , user = user , cwd = cwd )
def _check_devices ( self ) : "Enumerate OpenVR tracked devices and check whether any need to be initialized"
for i in range ( 1 , len ( self . poses ) ) : pose = self . poses [ i ] if not pose . bDeviceIsConnected : continue if not pose . bPoseIsValid : continue if self . show_controllers_only : device_class = openvr . VRSystem ( ) . getTrackedDeviceClass ( i ) if not device_cla...
def describe_numeric_1d ( series , ** kwargs ) : """Compute summary statistics of a numerical ( ` TYPE _ NUM ` ) variable ( a Series ) . Also create histograms ( mini an full ) of its distribution . Parameters series : Series The variable to describe . Returns Series The description of the variable as...
# Format a number as a percentage . For example 0.25 will be turned to 25 % . _percentile_format = "{:.0%}" stats = dict ( ) stats [ 'type' ] = base . TYPE_NUM stats [ 'mean' ] = series . mean ( ) stats [ 'std' ] = series . std ( ) stats [ 'variance' ] = series . var ( ) stats [ 'min' ] = series . min ( ) stats [ 'max'...
async def async_set_summary ( program ) : '''Set a program ' s summary'''
import aiohttp async with aiohttp . ClientSession ( ) as session : resp = await session . get ( program . get ( 'url' ) ) text = await resp . text ( ) summary = extract_program_summary ( text ) program [ 'summary' ] = summary return program
def get_threads_where_participant_is_active ( self , participant_id ) : """Gets all the threads in which the current participant is involved . The method excludes threads where the participant has left ."""
participations = Participation . objects . filter ( participant__id = participant_id ) . exclude ( date_left__lte = now ( ) ) . distinct ( ) . select_related ( 'thread' ) return Thread . objects . filter ( id__in = [ p . thread . id for p in participations ] ) . distinct ( )
def reset ( self ) : '''Reset the histogram to a pristine state'''
for index in range ( self . counts_len ) : self . counts [ index ] = 0 self . total_count = 0 self . min_value = sys . maxsize self . max_value = 0 self . start_time_stamp_msec = sys . maxsize self . end_time_stamp_msec = 0
def add_number_parameters ( self , number ) : """Add given number parameters to the internal list . Args : number ( list of int or list of float ) : A number or list of numbers to add to the parameters ."""
if isinstance ( number , list ) : for x in number : self . add_number_parameters ( x ) return self . _parameters . append ( "{ \"value\": " + str ( number ) + " }" )
def packages ( state , host , packages = None , present = True , latest = False , update = False , cache_time = None , upgrade = False , force = False , no_recommends = False , allow_downgrades = False , ) : '''Install / remove / update packages & update apt . + packages : list of packages to ensure + present :...
if update : yield _update ( state , host , cache_time = cache_time ) if upgrade : yield _upgrade ( state , host ) install_command = 'install' if no_recommends is True : install_command += ' --no-install-recommends' if allow_downgrades : install_command += ' --allow-downgrades' # Compare / ensure package...
def ReplaceItem ( self , document_link , new_document , options = None ) : """Replaces a document and returns it . : param str document _ link : The link to the document . : param dict new _ document : : param dict options : The request options for the request . : return : The new Document . : rtype...
CosmosClient . __ValidateResource ( new_document ) path = base . GetPathFromLink ( document_link ) document_id = base . GetResourceIdOrFullNameFromLink ( document_link ) # Python ' s default arguments are evaluated once when the function is defined , not each time the function is called ( like it is in say , Ruby ) . #...
def request ( self , action ) : """Request an action to be performed , in case one ."""
ev = threading . Event ( ) first = False with self . __lock : if len ( self . __events ) == 0 : first = True self . __events . append ( ev ) if first : action ( ) return ev
def is_vertex_cover ( G , vertex_cover ) : """Determines whether the given set of vertices is a vertex cover of graph G . A vertex cover is a set of vertices such that each edge of the graph is incident with at least one vertex in the set . Parameters G : NetworkX graph The graph on which to check the ver...
cover = set ( vertex_cover ) return all ( u in cover or v in cover for u , v in G . edges )
def dict_to_hdf5 ( dic , endpoint ) : """Dump a dict to an HDF5 file ."""
filename = gen_filename ( endpoint ) with h5py . File ( filename , 'w' ) as handler : walk_dict_to_hdf5 ( dic , handler ) print ( 'dumped to' , filename )
def is_valid_input_meshgrid ( x , ndim ) : """Test if ` ` x ` ` is a ` meshgrid ` sequence for points in R ^ d ."""
# This case is triggered in FunctionSpaceElement . _ _ call _ _ if the # domain does not have an ' ndim ' attribute . We return False and # continue . if ndim is None : return False if not isinstance ( x , tuple ) : return False if ndim > 1 : try : np . broadcast ( * x ) except ( ValueError , Ty...
def save ( self , filename , compressed = True ) : """Save a tensor to disk ."""
# check for data if not self . has_data : return False # read ext and save accordingly _ , file_ext = os . path . splitext ( filename ) if compressed : if file_ext != COMPRESSED_TENSOR_EXT : raise ValueError ( 'Can only save compressed tensor with %s extension' % ( COMPRESSED_TENSOR_EXT ) ) np . sav...
def dump ( args ) : """% prog dump fastbfile Export ALLPATHS fastb file to fastq file . Use - - dir to indicate a previously run allpaths folder ."""
p = OptionParser ( dump . __doc__ ) p . add_option ( "--dir" , help = "Working directory [default: %default]" ) p . add_option ( "--nosim" , default = False , action = "store_true" , help = "Do not simulate qual to 50 [default: %default]" ) opts , args = p . parse_args ( args ) if len ( args ) != 1 : sys . exit ( n...
def is_deletion ( self ) : """Does this variant represent the deletion of nucleotides from the reference genome ?"""
# A deletion would appear in a VCF like CT > C , so that the # reference allele starts with the alternate nucleotides . # This is true even in the normalized case , where the alternate # nucleotides are an empty string . return ( len ( self . ref ) > len ( self . alt ) ) and self . ref . startswith ( self . alt )
def cbpdn_setdict ( ) : """Set the dictionary for the cbpdn stage . There are no parameters or return values because all inputs and outputs are from and to global variables ."""
global mp_DSf # Set working dictionary for cbpdn step and compute DFT of dictionary # D and of D ^ T S mp_Df [ : ] = sl . rfftn ( mp_D_Y , mp_cri . Nv , mp_cri . axisN ) if mp_cri . Cd == 1 : mp_DSf [ : ] = np . conj ( mp_Df ) * mp_Sf else : mp_DSf [ : ] = sl . inner ( np . conj ( mp_Df [ np . newaxis , ... ] )...
def output_tray_status ( self ) -> Dict [ int , Dict [ str , str ] ] : """Return the state of all output trays ."""
tray_status = { } try : tray_stat = self . data . get ( 'outputTray' , [ ] ) for i , stat in enumerate ( tray_stat ) : tray_status [ i ] = { 'name' : stat [ 0 ] , 'capacity' : stat [ 1 ] , 'status' : stat [ 2 ] , } except ( KeyError , AttributeError ) : tray_status = { } return tray_status
def reset ( self ) : """Factory reset all of Vent ' s user data , containers , and images"""
status = ( True , None ) error_message = '' # remove containers try : c_list = set ( self . d_client . containers . list ( filters = { 'label' : 'vent' } , all = True ) ) for c in c_list : c . remove ( force = True ) except Exception as e : # pragma : no cover error_message += 'Error removing Vent c...
def cleanup ( self ) : '''Terminate this client if it has not already terminated .'''
if self . state == ClientState . WAITING_FOR_RESULT : # There is an ongoing call to execute ( ) # Not sure what to do here logger . warn ( 'cleanup() called while state is WAITING_FOR_RESULT: ignoring' ) elif self . state == ClientState . TERMINATING : # terminate ( ) has been called but we have not recieved SIGCHL...
def _load_data ( self ) : """Loads the data into this instance"""
url = self . parent . build_url ( self . parent . _endpoints . get ( 'format' ) ) response = self . parent . session . get ( url ) if not response : return False data = response . json ( ) self . _bold = data . get ( 'bold' , False ) self . _color = data . get ( 'color' , '#000000' ) # default black self . _italic ...