Source code for pm4py.algo.discovery.dfg.variants.native

from collections import Counter

from pm4py.util import constants, exec_utils
from pm4py.util import xes_constants as xes_util
from enum import Enum
from typing import Optional, Dict, Any, Union, Tuple
from pm4py.objects.log.obj import EventLog, EventStream


[docs] class Parameters(Enum): ACTIVITY_KEY = constants.PARAMETER_CONSTANT_ACTIVITY_KEY WINDOW = "window" KEEP_ONCE_PER_CASE = "keep_once_per_case"
[docs] def apply( log: Union[EventLog, EventStream], parameters: Optional[Dict[Union[str, Parameters], Any]] = None, ) -> Dict[Tuple[str, str], int]: return native(log, parameters=parameters)
[docs] def native( log: Union[EventLog, EventStream], parameters: Optional[Dict[Union[str, Parameters], Any]] = None, ) -> Dict[Tuple[str, str], int]: """ Counts the number of directly follows occurrences, i.e. of the form <...a,b...>, in an event log. Parameters ---------- log Trace log parameters Possible parameters passed to the algorithms: activity_key -> Attribute to use as activity Returns ------- dfg DFG graph """ if parameters is None: parameters = {} activity_key = exec_utils.get_param_value( Parameters.ACTIVITY_KEY, parameters, xes_util.DEFAULT_NAME_KEY ) window = exec_utils.get_param_value(Parameters.WINDOW, parameters, 1) keep_once_per_case = exec_utils.get_param_value( Parameters.KEEP_ONCE_PER_CASE, parameters, False ) if keep_once_per_case: dfgs = map( ( lambda t: set( (t[i - window][activity_key], t[i][activity_key]) for i in range(window, len(t)) ) ), log, ) else: dfgs = map( ( lambda t: [ (t[i - window][activity_key], t[i][activity_key]) for i in range(window, len(t)) ] ), log, ) return Counter([dfg for lista in dfgs for dfg in lista])