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def buy_margin ( self ) : """[ float ] 买方向保证金"""
return sum ( position . buy_margin for position in six . itervalues ( self . _positions ) )
def get_raw_data ( self , mac , response_format = 'json' ) : """Get data from API as string . Keyword arguments : mac - - MAC address or OUI for searching response _ format - - supported types you can see on the https : / / macaddress . io"""
data = { self . _FORMAT_F : response_format , self . _SEARCH_F : mac } response = self . __decode_str ( self . __call_api ( self . __url , data ) , 'utf-8' ) if len ( response ) > 0 : return response raise EmptyResponseException ( )
def all_options ( self ) : """Returns the set of all options used in all export entries"""
items = chain . from_iterable ( hosts . values ( ) for hosts in self . data . values ( ) ) return set ( chain . from_iterable ( items ) )
def _add_numeric_methods_unary ( cls ) : """Add in numeric unary methods ."""
def _make_evaluate_unary ( op , opstr ) : def _evaluate_numeric_unary ( self ) : self . _validate_for_numeric_unaryop ( op , opstr ) attrs = self . _get_attributes_dict ( ) attrs = self . _maybe_update_attributes ( attrs ) return Index ( op ( self . values ) , ** attrs ) _evaluat...
def _get_data ( self , url , accept = None ) : """GETs the resource at url and returns the raw response If the accept parameter is not None , the request passes is as the Accept header"""
if self . parsed_endpoint . scheme == 'https' : conn = httplib . HTTPSConnection ( self . parsed_endpoint . netloc ) else : conn = httplib . HTTPConnection ( self . parsed_endpoint . netloc ) head = { "User-Agent" : USER_AGENT , API_TOKEN_HEADER_NAME : self . api_token , } if self . api_version in [ '0.1' , '0....
def sendoff_current_user ( self ) : """Tell current user that s / he finished it ' s job for now . We ' ll notify if workflow arrives again to his / her WF Lane ."""
msgs = self . task_data . get ( 'LANE_CHANGE_MSG' , DEFAULT_LANE_CHANGE_MSG ) self . msg_box ( title = msgs [ 'title' ] , msg = msgs [ 'body' ] )
def close_poll ( self , chat_id : Union [ int , str ] , message_id : id ) -> bool : """Use this method to close ( stop ) a poll . Closed polls can ' t be reopened and nobody will be able to vote in it anymore . Args : chat _ id ( ` ` int ` ` | ` ` str ` ` ) : Unique identifier ( int ) or username ( str ) of...
poll = self . get_messages ( chat_id , message_id ) . poll self . send ( functions . messages . EditMessage ( peer = self . resolve_peer ( chat_id ) , id = message_id , media = types . InputMediaPoll ( poll = types . Poll ( id = poll . id , closed = True , question = "" , answers = [ ] ) ) ) ) return True
def weight2codon ( self , weight , length = None ) : """Given a weight between - 5 and 5 , turn it into a codon , eg " 000 " to " 999" """
if length is None : length = self . clen retval = 0 weight = min ( max ( weight + 5.0 , 0 ) , 10.0 ) * ( 10 ** ( length - 1 ) ) for i in range ( length ) : if i == length - 1 : # last one d = int ( round ( weight / ( 10 ** ( length - i - 1 ) ) ) ) else : d = int ( weight / ( 10 ** ( length -...
def download ( sid , credentials = None , subjects_path = None , overwrite = False , release = 'HCP_1200' , database = 'hcp-openaccess' , file_list = None ) : '''download ( sid ) downloads the data for subject with the given subject id . By default , the subject will be placed in the first HCP subject directory i...
if s3fs is None : raise RuntimeError ( 's3fs was not successfully loaded, so downloads may not occur; check ' 'your Python configuration to make sure that s3fs is installed. See ' 'http://s3fs.readthedocs.io/en/latest/install.html for details.' ) if credentials is None : credentials = config [ 'hcp_credentials'...
def run_task ( self , task_name , task_args = [ ] , task_kwargs = { } ) : """Run asynchronous task on a : class : ` carotte . Worker ` . : param string task _ name : Name of task to execute : param list task _ args : ( optional ) List of arguments to give to task : param dict task _ kwargs : ( optional ) Dict...
data = { 'action' : 'run_task' , 'name' : task_name , 'args' : task_args , 'kwargs' : task_kwargs } self . __send_pyobj ( data ) task = self . __recv_pyobj ( ) task . client = self return task
def load_default_healthchecks ( self ) : """Loads healthchecks specified in settings . HEALTHCHECKS as dotted import paths to the classes . Defaults are listed in ` DEFAULT _ HEALTHCHECKS ` ."""
default_healthchecks = getattr ( settings , 'HEALTHCHECKS' , DEFAULT_HEALTHCHECKS ) for healthcheck in default_healthchecks : healthcheck = import_string ( healthcheck ) self . register_healthcheck ( healthcheck )
def version_cmp ( pkg1 , pkg2 , ** kwargs ) : '''Do a cmp - style comparison on two packages . Return - 1 if pkg1 < pkg2 , 0 if pkg1 = = pkg2 , and 1 if pkg1 > pkg2 . Return None if there was a problem making the comparison . CLI Example : . . code - block : : bash salt ' * ' pkg . version _ cmp ' 0.2.4-0...
# ignore _ epoch is not supported here , but has to be included for API # compatibility . Rather than putting this argument into the function # definition ( and thus have it show up in the docs ) , we just pop it out of # the kwargs dict and then raise an exception if any kwargs other than # ignore _ epoch were passed ...
def transform_timeseries4pypsa ( timeseries , timerange , column = None ) : """Transform pq - set timeseries to PyPSA compatible format Parameters timeseries : Pandas DataFrame Containing timeseries Returns pypsa _ timeseries : Pandas DataFrame Reformated pq - set timeseries"""
timeseries . index = [ str ( i ) for i in timeseries . index ] if column is None : pypsa_timeseries = timeseries . apply ( Series ) . transpose ( ) . set_index ( timerange ) else : pypsa_timeseries = timeseries [ column ] . apply ( Series ) . transpose ( ) . set_index ( timerange ) return pypsa_timeseries
def virtualchain_set_opfields ( op , ** fields ) : """Pass along virtualchain - reserved fields to a virtualchain operation . This layer of indirection is meant to help with future compatibility , so virtualchain implementations do not try to set operation fields directly ."""
# warn about unsupported fields for f in fields . keys ( ) : if f not in indexer . RESERVED_KEYS : log . warning ( "Unsupported virtualchain field '%s'" % f ) # propagate reserved fields for f in fields . keys ( ) : if f in indexer . RESERVED_KEYS : op [ f ] = fields [ f ] return op
def getKeywordsForText ( self , retina_name , body , ) : """Get a list of keywords from the text Args : retina _ name , str : The retina name ( required ) body , str : The text to be evaluated ( required ) Returns : Array [ str ]"""
resourcePath = '/text/keywords' method = 'POST' queryParams = { } headerParams = { 'Accept' : 'Application/json' , 'Content-Type' : 'application/json' } postData = None queryParams [ 'retina_name' ] = retina_name postData = body response = self . apiClient . _callAPI ( resourcePath , method , queryParams , postData , h...
def now_heating ( self ) : """Return current heating state ."""
try : if self . side == 'left' : heat = self . device . device_data [ 'leftNowHeating' ] elif self . side == 'right' : heat = self . device . device_data [ 'rightNowHeating' ] return heat except TypeError : return None
def _biotype_lookup_fn ( gtf ) : """return a function that will look up the biotype of a feature this checks for either gene _ biotype or biotype being set or for the source column to have biotype information"""
db = get_gtf_db ( gtf ) sources = set ( [ feature . source for feature in db . all_features ( ) ] ) gene_biotypes = set ( [ feature . attributes . get ( "gene_biotype" , [ None ] ) [ 0 ] for feature in db . all_features ( ) ] ) biotypes = set ( [ feature . attributes . get ( "biotype" , [ None ] ) [ 0 ] for feature in ...
def download_magic ( infile , dir_path = '.' , input_dir_path = '' , overwrite = False , print_progress = True , data_model = 3. , separate_locs = False ) : """takes the name of a text file downloaded from the MagIC database and unpacks it into magic - formatted files . by default , download _ magic assumes tha...
if data_model == 2.5 : method_col = "magic_method_codes" else : method_col = "method_codes" input_dir_path , dir_path = pmag . fix_directories ( input_dir_path , dir_path ) infile = pmag . resolve_file_name ( infile , input_dir_path ) # try to deal reasonably with unicode errors try : f = codecs . open ( in...
def parse ( html_string , wrapper = Parser , * args , ** kwargs ) : """Parse html with wrapper"""
return Parser ( lxml . html . fromstring ( html_string ) , * args , ** kwargs )
def run_project ( project_directory : str , output_directory : str = None , log_path : str = None , shared_data : dict = None , reader_path : str = None , reload_project_libraries : bool = False ) -> ExecutionResult : """Opens , executes and closes a Cauldron project in a single command in production mode ( non -...
log_path = initialize_logging_path ( log_path ) logger . add_output_path ( log_path ) def on_complete ( command_response : environ . Response , project_data : SharedCache = None , message : str = None ) -> ExecutionResult : environ . modes . remove ( environ . modes . SINGLE_RUN ) if message : logger . ...
def find ( self ) : """Call the find function"""
options = self . find_options . get_options ( ) if options is None : return self . stop_and_reset_thread ( ignore_results = True ) self . search_thread = SearchThread ( self ) self . search_thread . sig_finished . connect ( self . search_complete ) self . search_thread . sig_current_file . connect ( lambda x : self...
def setup_destination ( self ) : """Setup output directory based on self . dst and self . identifier . Returns the output directory name on success , raises and exception on failure ."""
# Do we have a separate identifier ? if ( not self . identifier ) : # No separate identifier specified , split off the last path segment # of the source name , strip the extension to get the identifier self . identifier = os . path . splitext ( os . path . split ( self . src ) [ 1 ] ) [ 0 ] # Done if dryrun , else ...
def _set_overlay_acl_in ( self , v , load = False ) : """Setter method for overlay _ acl _ in , mapped from YANG variable / overlay _ gateway / access _ lists / overlay _ acl _ in ( container ) If this variable is read - only ( config : false ) in the source YANG file , then _ set _ overlay _ acl _ in is consid...
if hasattr ( v , "_utype" ) : v = v . _utype ( v ) try : t = YANGDynClass ( v , base = overlay_acl_in . overlay_acl_in , is_container = 'container' , presence = False , yang_name = "overlay-acl-in" , rest_name = "overlay" , parent = self , path_helper = self . _path_helper , extmethods = self . _extmethods , re...
def new_type ( cls , ** kwargs ) -> typing . Type : """Create a user defined type . The new type will contain all attributes of the ` cls ` type passed in . Any attribute ' s value can be overwritten using kwargs . : param kwargs : Can include any attribute defined in the provided user defined type ."""
props = dict ( cls . __dict__ ) props . update ( kwargs ) return type ( cls . __name__ , ( cls , ) , props )
def validate ( self , value , attribute_filter = None , minified = False ) : """: param value : : type value : list | None : param attribute _ filter : : type attribute _ filter : prestans . parser . AttributeFilter : param minified : : type minified : bool : return :"""
if not self . _required and value is None : return None elif self . _required and value is None : raise exception . RequiredAttributeError ( ) _validated_value = self . __class__ ( element_template = self . _element_template , min_length = self . _min_length , max_length = self . _max_length ) if not isinstance...
def _get_ln_sf ( self , C , C_SITE , idx , n_sites , rup ) : """Returns the log SF term required for equation 12"""
ln_sf = np . zeros ( n_sites ) for i in range ( 1 , 5 ) : ln_sf_i = ( C [ "lnSC1AM" ] - C_SITE [ "LnAmax1D{:g}" . format ( i ) ] ) if i > 1 : ln_sf_i += C [ "S{:g}" . format ( i ) ] ln_sf [ idx [ i ] ] += ln_sf_i return ln_sf
def remove_target ( self , target_id ) : """remove a target , given the id"""
updated_targets = [ ] for target in self . my_osid_object_form . _my_map [ 'targets' ] : if target [ 'id' ] != target_id : updated_targets . append ( target ) self . my_osid_object_form . _my_map [ 'targets' ] = updated_targets
def dbsize ( host = None , port = None , db = None , password = None ) : '''Return the number of keys in the selected database CLI Example : . . code - block : : bash salt ' * ' redis . dbsize'''
server = _connect ( host , port , db , password ) return server . dbsize ( )
def put ( self , url , params = None , headers = None , content = None , form_content = None ) : # type : ( str , Optional [ Dict [ str , str ] ] , Optional [ Dict [ str , str ] ] , Any , Optional [ Dict [ str , Any ] ] ) - > ClientRequest """Create a PUT request object . : param str url : The request URL . : p...
request = self . _request ( 'PUT' , url , params , headers , content , form_content ) return request
def removeContour ( self , contour ) : """Remove ` ` contour ` ` from the glyph . > > > glyph . removeContour ( contour ) ` ` contour ` ` may be a : ref : ` BaseContour ` or an : ref : ` type - int ` representing a contour index ."""
if isinstance ( contour , int ) : index = contour else : index = self . _getContourIndex ( contour ) index = normalizers . normalizeIndex ( index ) if index >= len ( self ) : raise ValueError ( "No contour located at index %d." % index ) self . _removeContour ( index )
def _open_file ( self , filename ) : """Open a file to be tailed"""
if not self . _os_is_windows : self . _fh = open ( filename , "rb" ) self . filename = filename self . _fh . seek ( 0 , os . SEEK_SET ) self . oldsize = 0 return # if we ' re in Windows , we need to use the WIN32 API to open the # file without locking it import win32file import msvcrt handle = win32...
def info ( self ) : """return information about replica set"""
hosts = ',' . join ( x [ 'host' ] for x in self . members ( ) ) mongodb_uri = 'mongodb://' + hosts + '/?replicaSet=' + self . repl_id result = { "id" : self . repl_id , "auth_key" : self . auth_key , "members" : self . members ( ) , "mongodb_uri" : mongodb_uri , "orchestration" : 'replica_sets' } if self . login : # Ad...
def take ( arr , indices , axis = 0 , allow_fill = False , fill_value = None ) : """Take elements from an array . . . versionadded : : 0.23.0 Parameters arr : sequence Non array - likes ( sequences without a dtype ) are coerced to an ndarray . indices : sequence of integers Indices to be taken . axi...
from pandas . core . indexing import validate_indices if not is_array_like ( arr ) : arr = np . asarray ( arr ) indices = np . asarray ( indices , dtype = np . intp ) if allow_fill : # Pandas style , - 1 means NA validate_indices ( indices , len ( arr ) ) result = take_1d ( arr , indices , axis = axis , all...
def removeItems ( self , items ) : """Removes all the inputed items from the scene at once . The list of items will be stored in an internal cache . When updating a node or connection ' s prepareToRemove method , any additional items that need to be removed as a result of that object being removed , should use the ...
count = 0 self . _removalQueue = items blocked = self . signalsBlocked ( ) self . blockSignals ( True ) update = set ( ) for item in items : if isinstance ( item , XNodeConnection ) : update . add ( item . inputNode ( ) ) update . add ( item . outputNode ( ) ) if self . removeItem ( item ) : ...
def update_external_store ( self , project_name , config ) : """update the logstore meta info Unsuccessful opertaion will cause an LogException . : type config : ExternalStoreConfig : param config : external store config : return : UpdateExternalStoreResponse : raise : LogException"""
headers = { "x-log-bodyrawsize" : '0' , "Content-Type" : "application/json" } params = { } resource = "/externalstores/" + config . externalStoreName body_str = six . b ( json . dumps ( config . to_json ( ) ) ) ( resp , header ) = self . _send ( "PUT" , project_name , body_str , resource , params , headers ) return Upd...
def convert ( self , caffemodel_path , outmodel_path ) : """Convert a Caffe . caffemodel file to MXNet . params file"""
net_param = caffe_pb2 . NetParameter ( ) with open ( caffemodel_path , 'rb' ) as caffe_model_file : net_param . ParseFromString ( caffe_model_file . read ( ) ) layers = net_param . layer self . layers = layers for idx , layer in enumerate ( layers ) : layer_name = str ( layer . name ) if layer . blobs : # I...
def sku_delete ( self , product_id , properties , session ) : '''taobao . fenxiao . product . sku . delete 产品SKU删除接口 根据sku properties删除sku数据'''
request = TOPRequest ( 'taobao.fenxiao.product.sku.delete' ) request [ 'product_id' ] = product_id request [ 'properties' ] = properties self . create ( self . execute ( request , session ) , fields = [ 'result' , 'created' ] , models = { 'created' : TOPDate } ) return self
def _pre_md5_skip_on_check ( self , src , rfile ) : # type : ( Uploader , blobxfer . models . upload . LocalPath , # blobxfer . models . azure . StorageEntity ) - > None """Perform pre MD5 skip on check : param Uploader self : this : param blobxfer . models . upload . LocalPath src : local path : param blobxf...
md5 = blobxfer . models . metadata . get_md5_from_metadata ( rfile ) key = blobxfer . operations . upload . Uploader . create_unique_id ( src , rfile ) with self . _md5_meta_lock : self . _md5_map [ key ] = ( src , rfile ) self . _md5_offload . add_localfile_for_md5_check ( key , None , str ( src . absolute_path ) ...
def update ( self , mini_batch , num_sequences ) : """Performs update on model . : param mini _ batch : Batch of experiences . : param num _ sequences : Number of sequences to process . : return : Results of update ."""
feed_dict = { self . model . dropout_rate : self . update_rate , self . model . batch_size : num_sequences , self . model . sequence_length : self . sequence_length } if self . use_continuous_act : feed_dict [ self . model . true_action ] = mini_batch [ 'actions' ] . reshape ( [ - 1 , self . brain . vector_action_s...
def slice ( self , start = None , stop = None , step = None ) : """Slice substrings from each element . Note that negative step is currently not supported . Parameters start : int stop : int step : int Returns Series"""
check_type ( start , int ) check_type ( stop , int ) check_type ( step , int ) if step is not None and step < 0 : raise ValueError ( 'Only positive steps are currently supported' ) return _series_str_result ( self , weld_str_slice , start = start , stop = stop , step = step )
def _set_allowed_ouis ( self , v , load = False ) : """Setter method for allowed _ ouis , mapped from YANG variable / interface / port _ channel / switchport / port _ security / allowed _ ouis ( list ) If this variable is read - only ( config : false ) in the source YANG file , then _ set _ allowed _ ouis is co...
if hasattr ( v , "_utype" ) : v = v . _utype ( v ) try : t = YANGDynClass ( v , base = YANGListType ( "oui" , allowed_ouis . allowed_ouis , yang_name = "allowed-ouis" , rest_name = "allowed-ouis" , parent = self , is_container = 'list' , user_ordered = False , path_helper = self . _path_helper , yang_keys = 'ou...
def get_phi_ss_at_quantile ( phi_model , quantile ) : """Returns the phi _ ss values at the specified quantile as an instance of ` class ` : : openquake . hazardlib . gsim . base . CoeffsTable - applies to the magnitude - dependent cases"""
# Setup SA coeffs - the backward compatible Python 2.7 way coeffs = deepcopy ( phi_model . sa_coeffs ) coeffs . update ( phi_model . non_sa_coeffs ) for imt in coeffs : if quantile is None : coeffs [ imt ] = { "a" : phi_model [ imt ] [ "mean_a" ] , "b" : phi_model [ imt ] [ "mean_b" ] } else : c...
def distribution_files ( self ) -> Iterator [ str ] : """Find distribution packages ."""
# This is verbatim from flake8 if self . distribution . packages : package_dirs = self . distribution . package_dir or { } for package in self . distribution . packages : pkg_dir = package if package in package_dirs : pkg_dir = package_dirs [ package ] elif '' in package_dirs...
def migrateFileFields ( portal ) : """This function walks over all attachment types and migrates their FileField fields ."""
portal_types = [ "Attachment" , "ARImport" , "Instrument" , "InstrumentCertification" , "Method" , "Multifile" , "Report" , "ARReport" , "SamplePoint" ] for portal_type in portal_types : # Do the migration migrate_to_blob ( portal , portal_type = portal_type , remove_old_value = True )
def get_viewable_members_serializer ( self , request ) : """Get a QuerySet of User objects of students in the activity . Needed for the EighthScheduledActivitySerializer . Returns : QuerySet"""
ids = [ ] user = request . user for member in self . members . all ( ) : show = False if member . can_view_eighth : show = member . can_view_eighth if not show and user and user . is_eighth_admin : show = True if not show and user and user . is_teacher : show = True if not sh...
def get_interfaces_ip ( self ) : """Get interface IP details . Returns a dictionary of dictionaries . Sample output : " Ethernet2/3 " : { " ipv4 " : { "4.4.4.4 " : { " prefix _ length " : 16 " ipv6 " : { "2001 : db8 : : 1 " : { " prefix _ length " : 10 " fe80 : : 2ec2:60ff : fe4f : feb2 " : { " ...
interfaces_ip = { } ipv4_command = "show ip interface vrf all" ipv6_command = "show ipv6 interface vrf all" output_v4 = self . _send_command ( ipv4_command ) output_v6 = self . _send_command ( ipv6_command ) v4_interfaces = { } for line in output_v4 . splitlines ( ) : # Ethernet2/2 , Interface status : protocol - up / ...
def newton ( func , x0 , fprime , args = ( ) , tol = 1.48e-8 , maxiter = 50 , disp = True ) : """Find a zero from the Newton - Raphson method using the jitted version of Scipy ' s newton for scalars . Note that this does not provide an alternative method such as secant . Thus , it is important that ` fprime ` c...
if tol <= 0 : raise ValueError ( "tol is too small <= 0" ) if maxiter < 1 : raise ValueError ( "maxiter must be greater than 0" ) # Convert to float ( don ' t use float ( x0 ) ; this works also for complex x0) p0 = 1.0 * x0 funcalls = 0 status = _ECONVERR # Newton - Raphson method for itr in range ( maxiter ) :...
def check_output_input ( * popenargs , ** kwargs ) : """Run command with arguments and return its output as a byte string . If the exit code was non - zero it raises a CalledProcessError . The CalledProcessError object will have the return code in the returncode attribute and output in the output attribute . ...
if 'stdout' in kwargs : raise ValueError ( 'stdout argument not allowed, it will be overridden.' ) if 'input' in kwargs : if 'stdin' in kwargs : raise ValueError ( 'stdin and input arguments may not both be used.' ) inputdata = kwargs [ 'input' ] del kwargs [ 'input' ] kwargs [ 'stdin' ] = P...
def stop_apppool ( name ) : '''Stop an IIS application pool . . . versionadded : : 2017.7.0 Args : name ( str ) : The name of the App Pool to stop . Returns : bool : True if successful , otherwise False CLI Example : . . code - block : : bash salt ' * ' win _ iis . stop _ apppool name = ' MyTestPool...
ps_cmd = [ 'Stop-WebAppPool' , r"'{0}'" . format ( name ) ] cmd_ret = _srvmgr ( ps_cmd ) return cmd_ret [ 'retcode' ] == 0
def rmR ( kls , path ) : """` rm - R path ` . Deletes , but does not recurse into , symlinks . If the path does not exist , silently return ."""
if os . path . islink ( path ) or os . path . isfile ( path ) : os . unlink ( path ) elif os . path . isdir ( path ) : walker = os . walk ( path , topdown = False , followlinks = False ) for dirpath , dirnames , filenames in walker : for f in filenames : os . unlink ( os . path . join ( ...
def convert_to_radiance ( self , data ) : """Calibrate to radiance ."""
bnum = self . _header [ "block5" ] [ 'band_number' ] [ 0 ] # Check calibration mode and select corresponding coefficients if self . calib_mode == "UPDATE" and bnum < 7 : gain = self . _header [ 'calibration' ] [ "cali_gain_count2rad_conversion" ] [ 0 ] offset = self . _header [ 'calibration' ] [ "cali_offset_co...
def flexion ( self , x , y , kwargs , diff = 0.000001 ) : """third derivatives ( flexion ) : param x : x - position ( preferentially arcsec ) : type x : numpy array : param y : y - position ( preferentially arcsec ) : type y : numpy array : param kwargs : list of keyword arguments of lens model parameters...
f_xx , f_xy , f_yx , f_yy = self . hessian ( x , y , kwargs ) f_xx_dx , f_xy_dx , f_yx_dx , f_yy_dx = self . hessian ( x + diff , y , kwargs ) f_xx_dy , f_xy_dy , f_yx_dy , f_yy_dy = self . hessian ( x , y + diff , kwargs ) f_xxx = ( f_xx_dx - f_xx ) / diff f_xxy = ( f_xx_dy - f_xx ) / diff f_xyy = ( f_xy_dy - f_xy ) /...
def draw ( self , milliseconds , surface ) : """Render the bounds of this collision ojbect onto the specified surface ."""
super ( CollidableObj , self ) . draw ( milliseconds , surface )
def _handleFailedExecutor ( self , agentID , executorID = None ) : """Should be called when we find out an executor has failed . Gets the log from some container ( since we are never handed a container ID ) that ran on the given executor on the given agent , if the agent is still up , and dumps it to our log ...
log . warning ( "Handling failure of executor '%s' on agent '%s'." , executorID , agentID ) try : # Look up the IP . We should always know it unless we get answers # back without having accepted offers . agentAddress = self . agentsByID [ agentID ] # For now we assume the agent is always on the same port . We c...
def get_free_energy ( self , temperature , pressure = 'Default' , electronic_energy = 'Default' , overbinding = True ) : """Returns the internal energy of an adsorbed molecule . Parameters temperature : numeric temperature in K electronic _ energy : numeric energy in eV pressure : numeric pressure in ...
if not temperature or not pressure : # either None or 0 return ( 0 ) else : if electronic_energy == 'Default' : electronic_energy = molecule_dict [ self . name ] [ 'electronic_energy' ] if overbinding == True : electronic_energy += molecule_dict [ self . name ] [ 'overbinding' ] ...
def assign_objective_requisites ( self , objective_id = None , requisite_objective_ids = None ) : """Creates a requirement dependency between Objective + a list of objectives . NON - standard method impl by cjshaw arg : objective _ id ( osid . id . Id ) : the Id of the dependent Objective arg : requisite _ ...
if objective_id is None or requisite_objective_ids is None : raise NullArgument ( ) ors = ObjectiveRequisiteSession ( self . _objective_bank_id , runtime = self . _runtime ) ids_arg = { 'ids' : [ str ( i ) for i in requisite_objective_ids ] } url_path = construct_url ( 'requisiteids' , bank_id = self . _catalog_ids...
def load_image ( name ) : """Load an image"""
image = pyglet . image . load ( name ) . texture verify_dimensions ( image ) return image
def start ( self ) : """Start stream ."""
if not self . stream or self . stream . session . state == STATE_STOPPED : self . stream = RTSPClient ( self . config . loop , self . stream_url , self . config . host , self . config . username , self . config . password , self . session_callback ) self . stream . start ( )
def read ( file_path ) : """Read a gmt file at the path specified by file _ path . Args : file _ path ( string ) : path to gmt file Returns : gmt ( GMT object ) : list of dicts , where each dict corresponds to one line of the GMT file"""
# Read in file actual_file_path = os . path . expanduser ( file_path ) with open ( actual_file_path , 'r' ) as f : lines = f . readlines ( ) # Create GMT object gmt = [ ] # Iterate over each line for line_num , line in enumerate ( lines ) : # Separate along tabs fields = line . split ( '\t' ) assert len ( f...
def getp ( self , name ) : """Get the named parameter . Parameters name : string The parameter name . Returns param : The parameter object ."""
name = self . _mapping . get ( name , name ) return self . params [ name ]
def train ( self , jsondocs , model_dir ) : """Train a NER model using given documents . Each word in the documents must have a " label " attribute , which denote the named entities in the documents . Parameters jsondocs : list of JSON - style documents . The documents used for training the CRF model . ...
modelUtil = ModelStorageUtil ( model_dir ) modelUtil . makedir ( ) modelUtil . copy_settings ( self . settings ) # Convert json documents to ner documents nerdocs = [ json_document_to_estner_document ( jsondoc ) for jsondoc in jsondocs ] self . fex . prepare ( nerdocs ) self . fex . process ( nerdocs ) self . trainer ....
def send ( self , event , message ) : """Send a message to the backend . : param reason : Reason of the message . : param message : Message content ."""
self . connection . send ( { 'reason' : [ 'request' , 'send' ] , 'content' : { 'reason' : event , 'request_id' : self . request_counter , 'content' : message , } , } ) self . request_counter = self . request_counter + 1
def get_video_count ( self , search_q = None ) : '''Return the number of videos in the account'''
if search_q is not None : params = { 'q' : search_q } else : params = None url = "/counts/videos" result = self . _make_request ( self . CMS_Server , 'GET' , url , params = params ) return result [ 'count' ]
def before_render ( self ) : """Before template render hook"""
# If the current user is a client contact , display those analysis # requests that belong to same client only super ( AnalysisRequestsView , self ) . before_render ( ) client = api . get_current_client ( ) if client : self . contentFilter [ 'path' ] = { "query" : "/" . join ( client . getPhysicalPath ( ) ) , "level...
def format_args ( self ) : """Get the arguments formatted as string . : returns : The formatted arguments . : rtype : str"""
result = [ ] if self . args : result . append ( _format_args ( self . args , self . defaults , getattr ( self , "annotations" , None ) ) ) if self . vararg : result . append ( "*%s" % self . vararg ) if self . kwonlyargs : if not self . vararg : result . append ( "*" ) result . append ( _format_...
def encr_tags ( self ) -> dict : """Accessor for record tags ( metadata ) stored encrypted . : return : record tags stored encrypted"""
return { t : self . _tags [ t ] for t in self . tags or { } if not t . startswith ( '~' ) } or None
def raw_escape ( pattern , unix = False ) : """Apply raw character transform before applying escape ."""
pattern = util . norm_pattern ( pattern , False , True ) return escape ( pattern , unix )
def available_datasets ( self ) : """Automatically determine datasets provided by this file"""
sensor = self . get_sensor ( self [ '/attr/sensor' ] ) nadir_resolution = self . get_nadir_resolution ( sensor ) for var_name , val in self . file_content . items ( ) : if isinstance ( val , SDS ) : ds_info = { 'file_type' : self . filetype_info [ 'file_type' ] , 'resolution' : nadir_resolution , } ...
def add_child_objective ( self , objective_id , child_id ) : """Adds a child to an objective . arg : objective _ id ( osid . id . Id ) : the ` ` Id ` ` of an objective arg : child _ id ( osid . id . Id ) : the ` ` Id ` ` of the new child raise : AlreadyExists - ` ` objective _ id ` ` is already a parent of ...
# Implemented from template for # osid . ontology . SubjectHierarchyDesignSession . add _ child _ subject _ template return self . _hierarchy_session . add_child ( id_ = objective_id , child_id = child_id )
def ip ( self ) : '''a method to retrieve the ip of system running docker : return : string with ip address of system'''
if self . localhost . os . sysname == 'Windows' and float ( self . localhost . os . release ) < 10 : sys_cmd = 'docker-machine ip %s' % self . vbox system_ip = self . command ( sys_cmd ) . replace ( '\n' , '' ) else : system_ip = self . localhost . ip return system_ip
def get_dataset ( self , key , info ) : """Load a dataset"""
logger . debug ( 'Reading %s.' , key . name ) # Check if file _ key is specified in the yaml file_key = info . get ( 'file_key' , key . name ) variable = self . nc [ file_key ] l_step = self . nc . attrs . get ( 'al_subsampling_factor' , 1 ) c_step = self . nc . attrs . get ( 'ac_subsampling_factor' , 16 ) if c_step !=...
def flatten ( attrs , inputs , proto_obj ) : """Flattens the input array into a 2 - D array by collapsing the higher dimensions ."""
# Mxnet does not have axis support . By default uses axis = 1 if 'axis' in attrs and attrs [ 'axis' ] != 1 : raise RuntimeError ( "Flatten operator only supports axis=1" ) new_attrs = translation_utils . _remove_attributes ( attrs , [ 'axis' ] ) return 'Flatten' , new_attrs , inputs
def date_to_solr ( d ) : """converts DD - MM - YYYY to YYYY - MM - DDT00:00:00Z"""
return "{y}-{m}-{day}T00:00:00Z" . format ( day = d [ : 2 ] , m = d [ 3 : 5 ] , y = d [ 6 : ] ) if d else d
def serialize ( v , known_modules = [ ] ) : '''Get a text representation of an object .'''
tname = name ( v , known_modules = known_modules ) func = serializer ( tname ) return func ( v ) , tname
def hl_canvas2table ( self , canvas , button , data_x , data_y ) : """Highlight mask on table when user click on canvas ."""
self . treeview . clear_selection ( ) # Remove existing highlight if self . maskhltag : try : canvas . delete_object_by_tag ( self . maskhltag , redraw = True ) except Exception : pass # Nothing to do if no masks are displayed try : obj = canvas . get_object_by_tag ( self . masktag ) except ...
def parse_req_file ( req_file , verbatim = False ) : """Take a file and return a dict of ( requirement , versions , ignore ) based on the files requirements specs ."""
req_list = [ ] requirements = req_file . readlines ( ) for requirement in requirements : requirement_no_comments = requirement . split ( '#' ) [ 0 ] . strip ( ) # if matching requirement line ( Thing = = 1.2.3 ) , update dict , continue req_match = re . match ( r'\s*(?P<package>[^\s\[\]]+)(?P<extras>\[\S+\]...
def search ( self , attr , value , tolerance = 0 ) : """Find paths with a key value match Parameters attr : str name of the attribute value : str or numerical value value of the searched attribute Keywords tolerance : float tolerance used when searching for matching numerical attributes . If the v...
found_paths = [ ] gen = self . attr_gen ( attr ) for path_attr_pair in gen : # if attribute is numerical use numerical _ value _ tolerance in # value comparison . If attribute is string require exact match if isinstance ( path_attr_pair . value , str ) : type_name = 'str' else : type_name = path...
def status_counter ( self ) : """Returns a ` Counter ` object that counts the number of task with given status ( use the string representation of the status as key ) ."""
counter = collections . Counter ( ) for task in self : counter [ str ( task . status ) ] += 1 return counter
def convex_hull ( obj , qhull_options = 'QbB Pp QJn' ) : """Get a new Trimesh object representing the convex hull of the current mesh , with proper normals and watertight . Requires scipy > . 12. Arguments obj : Trimesh , or ( n , 3 ) float Mesh or cartesian points Returns convex : Trimesh Mesh of c...
from . base import Trimesh if isinstance ( obj , Trimesh ) : points = obj . vertices . view ( np . ndarray ) else : # will remove subclassing points = np . asarray ( obj , dtype = np . float64 ) if not util . is_shape ( points , ( - 1 , 3 ) ) : raise ValueError ( 'Object must be Trimesh or (n,3) poi...
def sync ( self , models = None , ** context ) : """Syncs the database by calling its schema sync method . If no specific schema has been set for this database , then the global database schema will be used . If the dryRun flag is specified , then all the resulting commands will just be logged to the curren...
context = orb . Context ( ** context ) # collect the information for this database conn = self . __connection all_models = orb . system . models ( orb . Model ) . values ( ) all_models . sort ( cmp = lambda x , y : cmp ( x . schema ( ) , y . schema ( ) ) ) tables = [ model for model in all_models if issubclass ( model ...
def crack ( mpub , priv , pathtopriv ) : '''Input mpub is master xpub key string . Input priv is xprv string . Path is the path string ( e . g . ' m / 3/6/2 ' ) from the mpub to the priv . Path cannot contain any hardened keys .'''
mpub = str ( mpub ) priv = b58d ( priv ) if int ( priv [ 18 : 26 ] , 16 ) >= 2147483648 : raise Exception ( "Private key input is hardened. Cannot crack up a level from a hardened key." ) pathtopriv = pathtopriv . lower ( ) if 'h' in pathtopriv or "'" in pathtopriv : raise Exception ( "Path input indicates a h...
def AmiName ( ami_release_name , ubuntu_release_name , virtualization_type , mapr_version , role ) : """Returns AMI name using Cirrus ami naming convention ."""
if not role in valid_instance_roles : raise RuntimeError ( 'Specified role (%s) not a valid role: %s' % ( role , valid_instance_roles ) ) if virtualization_type not in valid_virtualization_types : raise RuntimeError ( 'Specified virtualization type (%s) not valid: %s' % ( virtualization_type , valid_virtualizat...
def _expand_datasets ( test_functions ) : """Generator producing test _ methods , with an optional dataset . : param test _ functions : Iterator over tuples of test name and test unbound function . : type test _ functions : ` iterator ` of ` tuple ` of ( ` unicode ` , ` function ` ) : return : Generator...
for name , func in test_functions : dataset_tuples = chain ( [ ( None , getattr ( func , 'genty_datasets' , { } ) ) ] , getattr ( func , 'genty_dataproviders' , [ ] ) , ) no_datasets = True for dataprovider , datasets in dataset_tuples : for dataset_name , dataset in six . iteritems ( datasets ) : ...
def query ( self , query_dict : Dict [ str , Any ] ) -> None : """重写 query"""
self . parse_url . query = cast ( Any , query_dict )
def coerce_dt_awareness ( date_or_datetime , tz = None , t = None ) : """Coerce the given ` datetime ` or ` date ` object into a timezone - aware or timezone - naive ` datetime ` result , depending on which is appropriate for the project ' s settings ."""
if isinstance ( date_or_datetime , datetime ) : dt = date_or_datetime else : dt = datetime . combine ( date_or_datetime , t or time . min ) is_project_tz_aware = settings . USE_TZ if is_project_tz_aware : return coerce_aware ( dt , tz ) elif not is_project_tz_aware : return coerce_naive ( dt , tz ) # No...
def _flow_for_request ( self ) : """Build a flow with the correct absolute callback URL for this request . : return :"""
flow = copy ( self . flow ) redirect_uri = current_app . config [ 'OVERWRITE_REDIRECT_URI' ] if not redirect_uri : flow . redirect_uri = url_for ( '_oidc_callback' , _external = True ) else : flow . redirect_uri = redirect_uri return flow
def num_spikes ( self ) : """Return total number of spikes . Parameters None Returns list"""
self . cursor . execute ( 'SELECT Count(*) from spikes' ) rows = self . cursor . fetchall ( ) [ 0 ] # Check against ' wc - l * ex * . gdf ' if self . debug : print ( 'DB has %d spikes' % rows ) return rows
def add ( self , data_object_replica : DataObjectReplica ) : """Adds the given data object replica to this collection . Will raise a ` ValueError ` if a data object replica with the same number already exists . : param data _ object _ replica : the data object replica to add"""
if data_object_replica . number in self . _data : raise ValueError ( "Data object replica with number %d already exists in this collection" % data_object_replica . number ) self . _data [ data_object_replica . number ] = data_object_replica
def unregister ( self ) : """Unregister this system from the insights service"""
machine_id = generate_machine_id ( ) try : logger . debug ( "Unregistering %s" , machine_id ) url = self . api_url + "/v1/systems/" + machine_id net_logger . info ( "DELETE %s" , url ) self . session . delete ( url ) logger . info ( "Successfully unregistered from the Red Hat Insights Service" ) ...
def ToPhotlam ( self , wave , flux , ** kwargs ) : """Convert to ` ` photlam ` ` . . . math : : m = - 0.4 \\ ; ( \\ textnormal { ST } _ { \\ lambda } + 21.1) \\ textnormal { photlam } = \\ frac { 10 ^ { m } \\ lambda } { hc } where : math : ` h ` and : math : ` c ` are as defined in : ref : ` pysynphot - ...
return wave / H / C * 10.0 ** ( - 0.4 * ( flux - STZERO ) )
def K_globe_valve_Crane ( D1 , D2 , fd = None ) : r'''Returns the loss coefficient for all types of globe valve , ( reduced seat or throttled ) as shown in [ 1 ] _ . If β = 1: . . math : : K = K _ 1 = K _ 2 = 340 f _ d Otherwise : . . math : : K _ 2 = \ frac { K + \ left [ 0.5(1 - \ beta ^ 2 ) + ( 1 -...
beta = D1 / D2 if fd is None : fd = ft_Crane ( D2 ) K1 = 340.0 * fd if beta == 1 : return K1 # upstream and down else : return ( K1 + beta * ( 0.5 * ( 1 - beta ) ** 2 + ( 1 - beta ** 2 ) ** 2 ) ) / beta ** 4
def yesterday ( self , date_from = None , date_format = None ) : """Retourne la date d ' hier depuis maintenant ou depuis une date fournie : param : : date _ from date de référence : return datetime"""
# date d ' hier return self . delta ( date_from = date_from , date_format = date_format , days = - 1 )
def close_curves ( * crvs , ** kw ) : '''close _ curves ( crv1 , crv2 . . . ) yields a single curve that merges all of the given list of curves together . The curves must be given in order , such that the i ' th curve should be connected to to the ( i + 1 ) ' th curve circularly to form a perimeter . The foll...
for k in six . iterkeys ( kw ) : if k not in close_curves . default_options : raise ValueError ( 'Unrecognized option: %s' % k ) kw = { k : ( kw [ k ] if k in kw else v ) for ( k , v ) in six . iteritems ( close_curves . default_options ) } ( grid , order ) = ( kw [ 'grid' ] , kw [ 'order' ] ) crvs = [ ( cr...
def Add ( self , key , help = "" , default = None , validator = None , converter = None , ** kw ) : """Add an option . @ param key : the name of the variable , or a list or tuple of arguments @ param help : optional help text for the options @ param default : optional default value @ param validator : optio...
if SCons . Util . is_List ( key ) or isinstance ( key , tuple ) : self . _do_add ( * key ) return if not SCons . Util . is_String ( key ) or not SCons . Environment . is_valid_construction_var ( key ) : raise SCons . Errors . UserError ( "Illegal Variables.Add() key `%s'" % str ( key ) ) self . _do_add ( ke...
def combine_inputs_with_outputs ( nb_source , nb_outputs , fmt = None ) : """Copy outputs of the second notebook into the first one , for cells that have matching inputs"""
output_code_cells = [ cell for cell in nb_outputs . cells if cell . cell_type == 'code' ] output_other_cells = [ cell for cell in nb_outputs . cells if cell . cell_type != 'code' ] fmt = long_form_one_format ( fmt ) text_repr = nb_source . metadata . get ( 'jupytext' , { } ) . get ( 'text_representation' , { } ) ext = ...
def to_basis ( self , basis = None , start = None , stop = None , step = None , undefined = None ) : """Make a new curve in a new basis , given a basis , or a new start , step , and / or stop . You only need to set the parameters you want to change . If the new extents go beyond the current extents , the curve ...
if basis is None : if start is None : new_start = self . start else : new_start = start new_step = step or self . step new_stop = stop or self . stop # new _ adj _ stop = new _ stop + new _ step / 100 # To guarantee inclusion . # basis = np . arange ( new _ start , new _ adj _ st...
def plot ( self , width = 8 , height = None , plt = None , dpi = None , ** kwargs ) : """Plot the equation of state . Args : width ( float ) : Width of plot in inches . Defaults to 8in . height ( float ) : Height of plot in inches . Defaults to width * golden ratio . plt ( matplotlib . pyplot ) : If plt i...
plt = pretty_plot ( width = width , height = height , plt = plt , dpi = dpi ) color = kwargs . get ( "color" , "r" ) label = kwargs . get ( "label" , "{} fit" . format ( self . __class__ . __name__ ) ) lines = [ "Equation of State: %s" % self . __class__ . __name__ , "Minimum energy = %1.2f eV" % self . e0 , "Minimum o...
def get_predicted_class ( self , x , ** kwargs ) : """: param x : A symbolic representation ( Tensor ) of the network input : return : A symbolic representation ( Tensor ) of the predicted label"""
return tf . argmax ( self . get_logits ( x , ** kwargs ) , axis = 1 )
def showGridRows ( self ) : """Returns whether or not this delegate should draw rows when rendering \ the grid . : return < bool >"""
delegate = self . itemDelegate ( ) if ( isinstance ( delegate , XTreeWidgetDelegate ) ) : return delegate . showGridRows ( ) return None
def types_and_weights_of_connections ( self ) : """Extract a dictionary summarizing the types and weights of edges in the graph . : return : A dictionary with keys specifying the species involved in a connection in alphabetical order ( e . g . string ' Fe - O ' ) and values which are a list of weights for...
def get_label ( u , v ) : u_label = self . structure [ u ] . species_string v_label = self . structure [ v ] . species_string return "-" . join ( sorted ( ( u_label , v_label ) ) ) types = defaultdict ( list ) for u , v , d in self . graph . edges ( data = True ) : label = get_label ( u , v ) types ...