Source code for pm4py.algo.discovery.powl.inductive.fall_through.factory

from multiprocessing import Pool, Manager
from typing import List, TypeVar, Tuple, Optional, Dict, Any, Type

from pm4py.algo.discovery.inductive.dtypes.im_ds import (
    IMDataStructure,
    IMDataStructureUVCL,
)
from pm4py.algo.discovery.inductive.fall_through.abc import FallThrough
from pm4py.algo.discovery.powl.inductive.fall_through.activity_concurrent import (
    POWLActivityConcurrentUVCL, )
from pm4py.algo.discovery.powl.inductive.fall_through.activity_once_per_trace import (
    POWLActivityOncePerTraceUVCL, )
from pm4py.algo.discovery.powl.inductive.fall_through.empty_traces import (
    POWLEmptyTracesUVCL,
)
from pm4py.algo.discovery.powl.inductive.fall_through.flower import (
    POWLFlowerModelUVCL,
)
from pm4py.algo.discovery.powl.inductive.fall_through.strict_tau_loop import (
    POWLStrictTauLoopUVCL,
)
from pm4py.algo.discovery.powl.inductive.fall_through.tau_loop import (
    POWLTauLoopUVCL,
)
from pm4py.objects.powl.obj import POWL

T = TypeVar("T", bound=IMDataStructure)
S = TypeVar("S", bound=FallThrough)




class FallThroughFactory:



    @classmethod
    def get_fall_throughs(
        cls, obj: T, parameters: Optional[Dict[str, Any]] = None
    ) -> List[Type[S]]:
        if type(obj) is IMDataStructureUVCL:
            return [
                POWLEmptyTracesUVCL,
                POWLActivityOncePerTraceUVCL,
                POWLActivityConcurrentUVCL,
                POWLStrictTauLoopUVCL,
                POWLTauLoopUVCL,
                POWLFlowerModelUVCL,
            ]
        return list()




    @classmethod
    def fall_through(
        cls,
        obj: T,
        pool: Pool,
        manager: Manager,
        parameters: Optional[Dict[str, Any]] = None,
    ) -> Optional[Tuple[POWL, List[T]]]:
        for f in FallThroughFactory.get_fall_throughs(obj):
            r = f.apply(obj, pool, manager, parameters)
            if r is not None:
                return r
        return None