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def autodetect_style ( self , data ) : found_keys = defaultdict ( int ) for style in self . tagstyles : for key in self . opt : found_keys [ style ] += data . count ( self . opt [ key ] [ style ] [ 'name' ] ) fkey = max ( found_keys , key = found_keys . get ) detected_style = fkey if found_keys [ fkey ] else 'unknown' ...
Determine the style of a docstring and sets it as the default input one for the instance .
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def _get_options ( self , style ) : return [ self . opt [ o ] [ style ] [ 'name' ] for o in self . opt ]
Get the list of keywords for a particular style
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def get_group_key_line ( self , data , key ) : idx = - 1 for i , line in enumerate ( data . splitlines ( ) ) : if isin_start ( self . groups [ key ] , line ) : idx = i return idx
Get the next group - style key s line number .
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def get_group_key_index ( self , data , key ) : idx = - 1 li = self . get_group_key_line ( data , key ) if li != - 1 : idx = 0 for line in data . splitlines ( ) [ : li ] : idx += len ( line ) + len ( '\n' ) return idx
Get the next groups style s starting line index for a key
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def get_group_line ( self , data ) : idx = - 1 for key in self . groups : i = self . get_group_key_line ( data , key ) if ( i < idx and i != - 1 ) or idx == - 1 : idx = i return idx
Get the next group - style key s line .
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def get_group_index ( self , data ) : idx = - 1 li = self . get_group_line ( data ) if li != - 1 : idx = 0 for line in data . splitlines ( ) [ : li ] : idx += len ( line ) + len ( '\n' ) return idx
Get the next groups style s starting line index
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def get_key_index ( self , data , key , starting = True ) : key = self . opt [ key ] [ self . style [ 'in' ] ] [ 'name' ] if key . startswith ( ':returns' ) : data = data . replace ( ':return:' , ':returns:' ) idx = len ( data ) ini = 0 loop = True if key in data : while loop : i = data . find ( key ) if i != - 1 : if ...
Get from a docstring the next option with a given key .
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def _extract_docs_description ( self ) : data = '\n' . join ( [ d . rstrip ( ) . replace ( self . docs [ 'out' ] [ 'spaces' ] , '' , 1 ) for d in self . docs [ 'in' ] [ 'raw' ] . splitlines ( ) ] ) if self . dst . style [ 'in' ] == 'groups' : idx = self . dst . get_group_index ( data ) elif self . dst . style [ 'in' ] ...
Extract main description from docstring
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def _extract_groupstyle_docs_params ( self ) : data = '\n' . join ( [ d . rstrip ( ) . replace ( self . docs [ 'out' ] [ 'spaces' ] , '' , 1 ) for d in self . docs [ 'in' ] [ 'raw' ] . splitlines ( ) ] ) idx = self . dst . get_group_key_line ( data , 'param' ) if idx >= 0 : data = data . splitlines ( ) [ idx + 1 : ] en...
Extract group style parameters
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def _extract_docs_return ( self ) : if self . dst . style [ 'in' ] == 'numpydoc' : data = '\n' . join ( [ d . rstrip ( ) . replace ( self . docs [ 'out' ] [ 'spaces' ] , '' , 1 ) for d in self . docs [ 'in' ] [ 'raw' ] . splitlines ( ) ] ) self . docs [ 'in' ] [ 'return' ] = self . dst . numpydoc . get_return_list ( da...
Extract return description and type
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def _extract_docs_other ( self ) : if self . dst . style [ 'in' ] == 'numpydoc' : data = '\n' . join ( [ d . rstrip ( ) . replace ( self . docs [ 'out' ] [ 'spaces' ] , '' , 1 ) for d in self . docs [ 'in' ] [ 'raw' ] . splitlines ( ) ] ) lst = self . dst . numpydoc . get_list_key ( data , 'also' ) lst = self . dst . n...
Extract other specific sections
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def _set_desc ( self ) : if self . docs [ 'in' ] [ 'desc' ] : self . docs [ 'out' ] [ 'desc' ] = self . docs [ 'in' ] [ 'desc' ] else : self . docs [ 'out' ] [ 'desc' ] = ''
Sets the global description if any
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def _set_params ( self ) : if self . docs [ 'in' ] [ 'params' ] : self . docs [ 'out' ] [ 'params' ] = list ( self . docs [ 'in' ] [ 'params' ] ) for e in self . element [ 'params' ] : if type ( e ) is tuple : param = e [ 0 ] else : param = e found = False for i , p in enumerate ( self . docs [ 'out' ] [ 'params' ] ) :...
Sets the parameters with types descriptions and default value if any
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def _set_raises ( self ) : if self . docs [ 'in' ] [ 'raises' ] : if self . dst . style [ 'out' ] != 'numpydoc' or self . dst . style [ 'in' ] == 'numpydoc' or ( self . dst . style [ 'out' ] == 'numpydoc' and 'raise' not in self . dst . numpydoc . get_excluded_sections ( ) ) : self . docs [ 'out' ] [ 'raises' ] = list ...
Sets the raises and descriptions
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def _set_return ( self ) : if type ( self . docs [ 'in' ] [ 'return' ] ) is list and self . dst . style [ 'out' ] not in [ 'groups' , 'numpydoc' , 'google' ] : lst = self . docs [ 'in' ] [ 'return' ] if lst : if lst [ 0 ] [ 0 ] is not None : self . docs [ 'out' ] [ 'return' ] = "%s-> %s" % ( lst [ 0 ] [ 0 ] , lst [ 0 ]...
Sets the return parameter with description and rtype if any
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def _set_other ( self ) : if self . dst . style [ 'in' ] == 'numpydoc' : if self . docs [ 'in' ] [ 'raw' ] is not None : self . docs [ 'out' ] [ 'post' ] = self . dst . numpydoc . get_raw_not_managed ( self . docs [ 'in' ] [ 'raw' ] ) elif 'post' not in self . docs [ 'out' ] or self . docs [ 'out' ] [ 'post' ] is None ...
Sets other specific sections
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def _set_raw ( self ) : sep = self . dst . get_sep ( target = 'out' ) sep = sep + ' ' if sep != ' ' else sep with_space = lambda s : '\n' . join ( [ self . docs [ 'out' ] [ 'spaces' ] + l if i > 0 else l for i , l in enumerate ( s . splitlines ( ) ) ] ) raw = self . docs [ 'out' ] [ 'spaces' ] + self . quotes desc = se...
Sets the output raw docstring
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def generate_docs ( self ) : if self . dst . style [ 'out' ] == 'numpydoc' and self . dst . numpydoc . first_line is not None : self . first_line = self . dst . numpydoc . first_line self . _set_desc ( ) self . _set_params ( ) self . _set_return ( ) self . _set_raises ( ) self . _set_other ( ) self . _set_raw ( ) self ...
Generates the output docstring
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def get_files_from_dir ( path , recursive = True , depth = 0 , file_ext = '.py' ) : file_list = [ ] if os . path . isfile ( path ) or path == '-' : return [ path ] if path [ - 1 ] != os . sep : path = path + os . sep for f in glob . glob ( path + "*" ) : if os . path . isdir ( f ) : if depth < MAX_DEPTH_RECUR : file_li...
Retrieve the list of files from a folder .
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def get_config ( config_file ) : config = { } tobool = lambda s : True if s . lower ( ) == 'true' else False if config_file : try : f = open ( config_file , 'r' ) except : print ( "Unable to open configuration file '{0}'" . format ( config_file ) ) else : for line in f . readlines ( ) : if len ( line . strip ( ) ) : ke...
Get the configuration from a file .
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def get_output_docs ( self ) : if not self . parsed : self . _parse ( ) lst = [ ] for e in self . docs_list : lst . append ( e [ 'docs' ] . get_raw_docs ( ) ) return lst
Return the output docstrings once formatted
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def compute_before_after ( self ) : if not self . parsed : self . _parse ( ) list_from = self . input_lines list_to = [ ] last = 0 for e in self . docs_list : start , end = e [ 'location' ] if start <= 0 : start , end = - start , - end list_to . extend ( list_from [ last : start + 1 ] ) else : list_to . extend ( list_f...
Compute the list of lines before and after the proposed docstring changes .
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def diff ( self , source_path = '' , target_path = '' , which = - 1 ) : list_from , list_to = self . compute_before_after ( ) if source_path . startswith ( os . sep ) : source_path = source_path [ 1 : ] if source_path and not source_path . endswith ( os . sep ) : source_path += os . sep if target_path . startswith ( os...
Build the diff between original docstring and proposed docstring .
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def get_patch_lines ( self , source_path , target_path ) : diff = self . diff ( source_path , target_path ) return [ "# Patch generated by Pyment v{0}\n\n" . format ( __version__ ) ] + diff
Return the diff between source_path and target_path
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def write_patch_file ( self , patch_file , lines_to_write ) : with open ( patch_file , 'w' ) as f : f . writelines ( lines_to_write )
Write lines_to_write to a the file called patch_file
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def overwrite_source_file ( self , lines_to_write ) : tmp_filename = '{0}.writing' . format ( self . input_file ) ok = False try : with open ( tmp_filename , 'w' ) as fh : fh . writelines ( lines_to_write ) ok = True finally : if ok : if platform . system ( ) == 'Windows' : self . _windows_rename ( tmp_filename ) else ...
overwrite the file with line_to_write
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def by_own_time_per_call ( stat ) : return ( - stat . own_time_per_call if stat . own_hits else - stat . own_time , by_deep_time_per_call ( stat ) )
Sorting by exclusive elapsed time per call in descending order .
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def result ( self ) : try : cpu_time = max ( 0 , time . clock ( ) - self . _cpu_time_started ) wall_time = max ( 0 , time . time ( ) - self . _wall_time_started ) except AttributeError : cpu_time = wall_time = 0.0 return self . stats , cpu_time , wall_time
Gets the frozen statistics to serialize by Pickle .
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def dump ( self , dump_filename , pickle_protocol = pickle . HIGHEST_PROTOCOL ) : result = self . result ( ) with open ( dump_filename , 'wb' ) as f : pickle . dump ( ( self . __class__ , result ) , f , pickle_protocol )
Saves the profiling result to a file
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def make_viewer ( self , title = None , at = None ) : viewer = StatisticsViewer ( ) viewer . set_profiler_class ( self . __class__ ) stats , cpu_time , wall_time = self . result ( ) viewer . set_result ( stats , cpu_time , wall_time , title = title , at = at ) viewer . activate ( ) return viewer
Makes a statistics viewer from the profiling result .
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def pack_msg ( method , msg , pickle_protocol = PICKLE_PROTOCOL ) : dump = io . BytesIO ( ) pickle . dump ( msg , dump , pickle_protocol ) size = dump . tell ( ) return ( struct . pack ( METHOD_STRUCT_FORMAT , method ) + struct . pack ( SIZE_STRUCT_FORMAT , size ) + dump . getvalue ( ) )
Packs a method and message .
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def recv ( sock , size ) : data = sock . recv ( size , socket . MSG_WAITALL ) if len ( data ) < size : raise socket . error ( ECONNRESET , 'Connection closed' ) return data
Receives exactly size bytes . This function blocks the thread .
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def recv_msg ( sock ) : data = recv ( sock , struct . calcsize ( METHOD_STRUCT_FORMAT ) ) method , = struct . unpack ( METHOD_STRUCT_FORMAT , data ) data = recv ( sock , struct . calcsize ( SIZE_STRUCT_FORMAT ) ) size , = struct . unpack ( SIZE_STRUCT_FORMAT , data ) data = recv ( sock , size ) msg = pickle . loads ( d...
Receives a method and message from the socket . This function blocks the current thread .
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def connected ( self , client ) : self . clients . add ( client ) self . _log_connected ( client ) self . _start_watching ( client ) self . send_msg ( client , WELCOME , ( self . pickle_protocol , __version__ ) , pickle_protocol = 0 ) profiler = self . profiler while True : try : profiler = profiler . profiler except A...
Call this method when a client connected .
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def disconnected ( self , client ) : if client not in self . clients : return self . clients . remove ( client ) self . _log_disconnected ( client ) self . _close ( client )
Call this method when a client disconnected .
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def get_mark ( self ) : if self . is_leaf : char = self . icon_chars [ 2 ] else : char = self . icon_chars [ int ( self . expanded ) ] return urwid . SelectableIcon ( ( 'mark' , char ) , 0 )
Gets an expanded collapsed or leaf icon .
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def get_path ( self ) : path = deque ( ) __ , node = self . get_focus ( ) while not node . is_root ( ) : stats = node . get_value ( ) path . appendleft ( hash ( stats ) ) node = node . get_parent ( ) return path
Gets the path to the focused statistics . Each step is a hash of statistics object .
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def find_node ( self , node , path ) : for hash_value in path : if isinstance ( node , LeafStatisticsNode ) : break for stats in node . get_child_keys ( ) : if hash ( stats ) == hash_value : node = node . get_child_node ( stats ) break else : break return node
Finds a node by the given path from the given node .
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def update_result ( self ) : try : if self . paused : result = self . _paused_result else : result = self . _final_result except AttributeError : self . table . update_frame ( ) return stats , cpu_time , wall_time , title , at = result self . table . set_result ( stats , cpu_time , wall_time , title , at )
Updates the result on the table .
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def option_getter ( type ) : option_getters = { None : ConfigParser . get , int : ConfigParser . getint , float : ConfigParser . getfloat , bool : ConfigParser . getboolean } return option_getters . get ( type , option_getters [ None ] )
Gets an unbound method to get a configuration option as the given type .
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def config_default ( option , default = None , type = None , section = cli . name ) : def f ( option = option , default = default , type = type , section = section ) : config = read_config ( ) if type is None and default is not None : type = builtins . type ( default ) get_option = option_getter ( type ) try : return g...
Guesses a default value of a CLI option from the configuration .
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def config_flag ( option , value , default = False , section = cli . name ) : class x ( object ) : def __bool__ ( self , option = option , value = value , default = default , section = section ) : config = read_config ( ) type = builtins . type ( value ) get_option = option_getter ( type ) try : return get_option ( con...
Guesses whether a CLI flag should be turned on or off from the configuration . If the configuration option value is same with the given value it returns True .
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def get_title ( src_name , src_type = None ) : if src_type == 'tcp' : return '{0}:{1}' . format ( * src_name ) return os . path . basename ( src_name )
Normalizes a source name as a string to be used for viewer s title .
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def spawn_thread ( func , * args , ** kwargs ) : thread = threading . Thread ( target = func , args = args , kwargs = kwargs ) thread . daemon = True thread . start ( ) return thread
Spawns a daemon thread .
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def spawn ( mode , func , * args , ** kwargs ) : if mode is None : mode = 'threading' elif mode not in spawn . modes : raise ValueError ( 'Invalid spawn mode: %s' % mode ) if mode == 'threading' : return spawn_thread ( func , * args , ** kwargs ) elif mode == 'gevent' : import gevent import gevent . monkey gevent . mon...
Spawns a thread - like object which runs the given function concurrently .
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def profile ( script , argv , profiler_factory , pickle_protocol , dump_filename , mono ) : filename , code , globals_ = script sys . argv [ : ] = [ filename ] + list ( argv ) __profile__ ( filename , code , globals_ , profiler_factory , pickle_protocol = pickle_protocol , dump_filename = dump_filename , mono = mono )
Profile a Python script .
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def live_profile ( script , argv , profiler_factory , interval , spawn , signum , pickle_protocol , mono ) : filename , code , globals_ = script sys . argv [ : ] = [ filename ] + list ( argv ) parent_sock , child_sock = socket . socketpair ( ) stderr_r_fd , stderr_w_fd = os . pipe ( ) pid = os . fork ( ) if pid : os . ...
Profile a Python script continuously .
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def view ( src , mono ) : src_type , src_name = src title = get_title ( src_name , src_type ) viewer , loop = make_viewer ( mono ) if src_type == 'dump' : time = datetime . fromtimestamp ( os . path . getmtime ( src_name ) ) with open ( src_name , 'rb' ) as f : profiler_class , ( stats , cpu_time , wall_time ) = pickle...
Inspect statistics by TUI view .
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def timeit_profile ( stmt , number , repeat , setup , profiler_factory , pickle_protocol , dump_filename , mono , ** _ignored ) : del _ignored globals_ = { } exec_ ( setup , globals_ ) if number is None : dummy_profiler = profiler_factory ( ) dummy_profiler . start ( ) for x in range ( 1 , 10 ) : number = 10 ** x t = t...
Profile a Python statement like timeit .
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def spread_stats ( stats , spreader = False ) : spread = spread_t ( ) if spreader else True descendants = deque ( stats ) while descendants : _stats = descendants . popleft ( ) if spreader : spread . clear ( ) yield _stats , spread else : yield _stats if spread : descendants . extend ( _stats )
Iterates all descendant statistics under the given root statistics .
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def own_time ( self ) : sub_time = sum ( stats . deep_time for stats in self ) return max ( 0. , self . deep_time - sub_time )
The exclusive execution time .
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def flatten ( cls , stats ) : flat_children = { } for _stats in spread_stats ( stats ) : key = ( _stats . name , _stats . filename , _stats . lineno , _stats . module ) try : flat_stats = flat_children [ key ] except KeyError : flat_stats = flat_children [ key ] = cls ( * key ) flat_stats . own_hits += _stats . own_hit...
Makes a flat statistics from the given statistics .
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def requirements ( filename ) : with open ( filename ) as f : return [ x . strip ( ) for x in f . readlines ( ) if x . strip ( ) ]
Reads requirements from a file .
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def sample ( self , frame ) : frames = self . frame_stack ( frame ) if frames : frames . pop ( ) parent_stats = self . stats for f in frames : parent_stats = parent_stats . ensure_child ( f . f_code , void ) stats = parent_stats . ensure_child ( frame . f_code , RecordingStatistics ) stats . own_hits += 1
Samples the given frame .
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def deferral ( ) : deferred = [ ] defer = lambda f , * a , ** k : deferred . append ( ( f , a , k ) ) try : yield defer finally : while deferred : f , a , k = deferred . pop ( ) f ( * a , ** k )
Defers a function call when it is being required like Go .
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def start ( self , * args , ** kwargs ) : if self . is_running ( ) : raise RuntimeError ( 'Already started' ) self . _running = self . run ( * args , ** kwargs ) try : yielded = next ( self . _running ) except StopIteration : raise TypeError ( 'run() must yield just one time' ) if yielded is not None : raise TypeError ...
Starts the instance .
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def stop ( self ) : if not self . is_running ( ) : raise RuntimeError ( 'Not started' ) running , self . _running = self . _running , None try : next ( running ) except StopIteration : pass else : raise TypeError ( 'run() must yield just one time' )
Stops the instance .
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def sockets ( self ) : if self . listener is None : return self . clients else : return self . clients . union ( [ self . listener ] )
Returns the set of the sockets .
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def select_sockets ( self , timeout = None ) : if timeout is not None : t = time . time ( ) while True : try : ready , __ , __ = select . select ( self . sockets ( ) , ( ) , ( ) , timeout ) except ValueError : pass except select . error as exc : if exc . args [ 0 ] != EINTR : raise else : return ready if timeout is Non...
EINTR safe version of select . It focuses on just incoming sockets .
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def dispatch_sockets ( self , timeout = None ) : for sock in self . select_sockets ( timeout = timeout ) : if sock is self . listener : listener = sock sock , addr = listener . accept ( ) self . connected ( sock ) else : try : sock . recv ( 1 ) except socket . error as exc : if exc . errno != ECONNRESET : raise self . ...
Dispatches incoming sockets .
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def record_entering ( self , time , code , frame_key , parent_stats ) : stats = parent_stats . ensure_child ( code , RecordingStatistics ) self . _times_entered [ ( code , frame_key ) ] = time stats . own_hits += 1
Entered to a function call .
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def record_leaving ( self , time , code , frame_key , parent_stats ) : try : stats = parent_stats . get_child ( code ) time_entered = self . _times_entered . pop ( ( code , frame_key ) ) except KeyError : return time_elapsed = time - time_entered stats . deep_time += max ( 0 , time_elapsed )
Left from a function call .
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def build_sink ( function : Callable [ ... , None ] = None , * , unpack : bool = False ) : def _build_sink ( function : Callable [ ... , None ] ) : @ wraps ( function ) def _wrapper ( * args , ** kwargs ) -> Sink : if 'unpack' in kwargs : raise TypeError ( '"unpack" has to be defined by decorator' ) return Sink ( funct...
Decorator to wrap a function to return a Sink subscriber .
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def build_map ( function : Callable [ [ Any ] , Any ] = None , unpack : bool = False ) : def _build_map ( function : Callable [ [ Any ] , Any ] ) : @ wraps ( function ) def _wrapper ( * args , ** kwargs ) -> Map : if 'unpack' in kwargs : raise TypeError ( '"unpack" has to be defined by decorator' ) return Map ( functio...
Decorator to wrap a function to return a Map operator .
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def _trace_handler ( publisher , value , label = None ) : line = '--- %8.3f: ' % ( time ( ) - Trace . _timestamp_start ) line += repr ( publisher ) if label is None else label line += ' %r' % ( value , ) print ( line )
Default trace handler is printing the timestamp the publisher name and the emitted value
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def build_sink_async ( coro = None , * , mode = None , unpack : bool = False ) : _mode = mode def _build_sink_async ( coro ) : @ wraps ( coro ) def _wrapper ( * args , mode = None , ** kwargs ) -> SinkAsync : if 'unpack' in kwargs : raise TypeError ( '"unpack" has to be defined by decorator' ) if mode is None : mode = ...
Decorator to wrap a coroutine to return a SinkAsync subscriber .
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def build_accumulate ( function : Callable [ [ Any , Any ] , Tuple [ Any , Any ] ] = None , * , init : Any = NONE ) : _init = init def _build_accumulate ( function : Callable [ [ Any , Any ] , Tuple [ Any , Any ] ] ) : @ wraps ( function ) def _wrapper ( init = NONE ) -> Accumulate : init = _init if init is NONE else i...
Decorator to wrap a function to return an Accumulate operator .
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def resolve_meta_key ( hub , key , meta ) : if key not in meta : return None value = meta [ key ] if isinstance ( value , str ) and value [ 0 ] == '>' : topic = value [ 1 : ] if topic not in hub : raise KeyError ( 'topic %s not found in hub' % topic ) return hub [ topic ] . get ( ) return value
Resolve a value when it s a string and starts with >
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def checked_emit ( self , value : Any ) -> asyncio . Future : if not isinstance ( self . _subject , Subscriber ) : raise TypeError ( 'Topic %r has to be a subscriber' % self . _path ) value = self . cast ( value ) self . check ( value ) return self . _subject . emit ( value , who = self )
Casting and checking in one call
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def add_datatype ( self , name : str , datatype : DT ) : self . _datatypes [ name ] = datatype
Register the datatype with it s name
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def cast ( self , topic , value ) : datatype_key = topic . meta . get ( 'datatype' , 'none' ) result = self . _datatypes [ datatype_key ] . cast ( topic , value ) validate_dt = topic . meta . get ( 'validate' , None ) if validate_dt : result = self . _datatypes [ validate_dt ] . cast ( topic , result ) return result
Cast a string to the value based on the datatype
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def check ( self , topic , value ) : datatype_key = topic . meta . get ( 'datatype' , 'none' ) self . _datatypes [ datatype_key ] . check ( topic , value ) validate_dt = topic . meta . get ( 'validate' , None ) if validate_dt : self . _datatypes [ validate_dt ] . check ( topic , value )
Checking the value if it fits into the given specification
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def flush ( self ) : self . notify ( tuple ( self . _queue ) ) self . _queue . clear ( )
Emits the current queue and clears the queue
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def _periodic_callback ( self ) : try : self . notify ( self . _state ) except Exception : self . _error_callback ( * sys . exc_info ( ) ) if self . _subscriptions : self . _call_later_handle = self . _loop . call_later ( self . _interval , self . _periodic_callback ) else : self . _state = NONE self . _call_later_hand...
Will be started on first emit
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def build_reduce ( function : Callable [ [ Any , Any ] , Any ] = None , * , init : Any = NONE ) : _init = init def _build_reduce ( function : Callable [ [ Any , Any ] , Any ] ) : @ wraps ( function ) def _wrapper ( init = NONE ) -> Reduce : init = _init if init is NONE else init if init is NONE : raise TypeError ( 'ini...
Decorator to wrap a function to return a Reduce operator .
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def flush ( self ) : if not self . _emit_partial and len ( self . _state ) != self . _state . maxlen : self . notify ( tuple ( self . _state ) ) self . _state . clear ( )
Flush the queue - this will emit the current queue
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def build_map_async ( coro = None , * , mode = None , unpack : bool = False ) : _mode = mode def _build_map_async ( coro ) : @ wraps ( coro ) def _wrapper ( * args , mode = None , ** kwargs ) -> MapAsync : if 'unpack' in kwargs : raise TypeError ( '"unpack" has to be defined by decorator' ) if mode is None : mode = MOD...
Decorator to wrap a coroutine to return a MapAsync operator .
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def _future_done ( self , future ) : try : result = future . result ( ) if result is not NONE : self . notify ( result ) except asyncio . CancelledError : return except Exception : self . _options . error_callback ( * sys . exc_info ( ) ) if self . _queue : value = self . _queue . popleft ( ) self . _run_coro ( value )...
Will be called when the coroutine is done
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def _run_coro ( self , value ) : if self . _options . mode is MODE . LAST_DISTINCT and value == self . _last_emit : self . _future = None return self . _last_emit = value self . scheduled . notify ( value ) values = value if self . _options . unpack else ( value , ) coro = self . _options . coro ( * values , * self . _...
Start the coroutine as task
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def build_filter ( predicate : Callable [ [ Any ] , bool ] = None , * , unpack : bool = False ) : def _build_filter ( predicate : Callable [ [ Any ] , bool ] ) : @ wraps ( predicate ) def _wrapper ( * args , ** kwargs ) -> Filter : if 'unpack' in kwargs : raise TypeError ( '"unpack" has to be defined by decorator' ) re...
Decorator to wrap a function to return a Filter operator .
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def apply_operator_overloading ( ) : for method in ( '__lt__' , '__le__' , '__eq__' , '__ne__' , '__ge__' , '__gt__' , '__add__' , '__and__' , '__lshift__' , '__mod__' , '__mul__' , '__pow__' , '__rshift__' , '__sub__' , '__xor__' , '__concat__' , '__getitem__' , '__floordiv__' , '__truediv__' ) : def _op ( operand_lef...
Function to apply operator overloading to Publisher class
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def assign ( self , subject ) : if not isinstance ( subject , ( Publisher , Subscriber ) ) : raise TypeError ( 'Assignee has to be Publisher or Subscriber' ) if self . _subject is not None : raise SubscriptionError ( 'Topic %r already assigned' % self . _path ) self . _subject = subject if self . _subscriptions : self ...
Assigns the given subject to the topic
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def freeze ( self , freeze : bool = True ) : for topic in self . _topics . values ( ) : topic . freeze ( ) self . _frozen = freeze
Freezing the hub means that each topic has to be assigned and no new topics can be created after this point .
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def reset ( self ) : if self . _call_later_handler is not None : self . _call_later_handler . cancel ( ) self . _call_later_handler = None self . _wait_done_cb ( )
Reseting duration for throttling
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def build_map_threaded ( function : Callable [ [ Any ] , Any ] = None , mode = MODE . CONCURRENT , unpack : bool = False ) : _mode = mode def _build_map_threaded ( function : Callable [ [ Any ] , Any ] ) : @ wraps ( function ) def _wrapper ( * args , mode = None , ** kwargs ) -> MapThreaded : if 'unpack' in kwargs : ra...
Decorator to wrap a function to return a MapThreaded operator .
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async def _thread_coro ( self , * args ) : return await self . _loop . run_in_executor ( self . _executor , self . _function , * args )
Coroutine called by MapAsync . It s wrapping the call of run_in_executor to run the synchronous function as thread
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def reset ( self ) : if self . _retrigger_value is not NONE : self . notify ( self . _retrigger_value ) self . _state = self . _retrigger_value self . _next_state = self . _retrigger_value if self . _call_later_handler : self . _call_later_handler . cancel ( ) self . _call_later_handler = None
Reset the debounce time
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def subscribe ( self , subscriber : 'Subscriber' , prepend : bool = False ) -> SubscriptionDisposable : if any ( subscriber is s for s in self . _subscriptions ) : raise SubscriptionError ( 'Subscriber already registered' ) if prepend : self . _subscriptions . insert ( 0 , subscriber ) else : self . _subscriptions . ap...
Subscribing the given subscriber .
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def unsubscribe ( self , subscriber : 'Subscriber' ) -> None : for i , _s in enumerate ( self . _subscriptions ) : if _s is subscriber : self . _subscriptions . pop ( i ) return raise SubscriptionError ( 'Subscriber is not registered' )
Unsubscribe the given subscriber
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def inherit_type ( self , type_cls : Type [ TInherit ] ) -> Union [ TInherit , 'Publisher' ] : self . _inherited_type = type_cls return self
enables the usage of method and attribute overloading for this publisher .
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def _move_tuple_axes_first ( array , axis ) : naxis = len ( axis ) axis += tuple ( i for i in range ( array . ndim ) if i not in axis ) destination = tuple ( range ( array . ndim ) ) array_new = np . moveaxis ( array , axis , destination ) first = np . prod ( array_new . shape [ : naxis ] ) array_new = array_new . resh...
Bottleneck can only take integer axis not tuple so this function takes all the axes to be operated on and combines them into the first dimension of the array so that we can then use axis = 0
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def _nanmean ( array , axis = None ) : if isinstance ( axis , tuple ) : array = _move_tuple_axes_first ( array , axis = axis ) axis = 0 return bottleneck . nanmean ( array , axis = axis )
Bottleneck nanmean function that handle tuple axis .
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def _nanmedian ( array , axis = None ) : if isinstance ( axis , tuple ) : array = _move_tuple_axes_first ( array , axis = axis ) axis = 0 return bottleneck . nanmedian ( array , axis = axis )
Bottleneck nanmedian function that handle tuple axis .
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def _nanstd ( array , axis = None , ddof = 0 ) : if isinstance ( axis , tuple ) : array = _move_tuple_axes_first ( array , axis = axis ) axis = 0 return bottleneck . nanstd ( array , axis = axis , ddof = ddof )
Bottleneck nanstd function that handle tuple axis .
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def sigma_clip ( data , sigma = 3 , sigma_lower = None , sigma_upper = None , maxiters = 5 , cenfunc = 'median' , stdfunc = 'std' , axis = None , masked = True , return_bounds = False , copy = True ) : sigclip = SigmaClip ( sigma = sigma , sigma_lower = sigma_lower , sigma_upper = sigma_upper , maxiters = maxiters , ce...
Perform sigma - clipping on the provided data .
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def sigma_clipped_stats ( data , mask = None , mask_value = None , sigma = 3.0 , sigma_lower = None , sigma_upper = None , maxiters = 5 , cenfunc = 'median' , stdfunc = 'std' , std_ddof = 0 , axis = None ) : if mask is not None : data = np . ma . MaskedArray ( data , mask ) if mask_value is not None : data = np . ma . ...
Calculate sigma - clipped statistics on the provided data .
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def _sigmaclip_noaxis ( self , data , masked = True , return_bounds = False , copy = True ) : filtered_data = data . ravel ( ) if isinstance ( filtered_data , np . ma . MaskedArray ) : filtered_data = filtered_data . data [ ~ filtered_data . mask ] good_mask = np . isfinite ( filtered_data ) if np . any ( ~ good_mask )...
Sigma clip the data when axis is None .
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def _sigmaclip_withaxis ( self , data , axis = None , masked = True , return_bounds = False , copy = True ) : filtered_data = data . astype ( float ) bad_mask = ~ np . isfinite ( filtered_data ) if np . any ( bad_mask ) : filtered_data [ bad_mask ] = np . nan warnings . warn ( 'Input data contains invalid values (NaNs ...
Sigma clip the data when axis is specified .
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def do_photometry ( self , data , error = None , mask = None , method = 'exact' , subpixels = 5 , unit = None ) : data = np . asanyarray ( data ) if mask is not None : mask = np . asanyarray ( mask ) data = copy . deepcopy ( data ) data [ mask ] = 0 if error is not None : error = copy . deepcopy ( np . asanyarray ( err...
Perform aperture photometry on the input data .
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def _to_sky_params ( self , wcs , mode = 'all' ) : sky_params = { } x , y = np . transpose ( self . positions ) sky_params [ 'positions' ] = pixel_to_skycoord ( x , y , wcs , mode = mode ) crval = SkyCoord ( [ wcs . wcs . crval ] , frame = wcs_to_celestial_frame ( wcs ) , unit = wcs . wcs . cunit ) scale , angle = pixe...
Convert the pixel aperture parameters to those for a sky aperture .