Source code for pm4py.algo.discovery.inductive.variants.im

from typing import TypeVar, Generic, Dict, Any, Optional

from pm4py.algo.discovery.inductive.dtypes.im_ds import (
    IMDataStructureUVCL,
    IMDataStructureLog,
)
from pm4py.algo.discovery.inductive.fall_through.empty_traces import (
    EmptyTracesUVCL,
)
from pm4py.algo.discovery.inductive.variants.abc import InductiveMinerFramework
from pm4py.algo.discovery.inductive.variants.instances import IMInstance
from pm4py.objects.process_tree.obj import ProcessTree

T = TypeVar("T", bound=IMDataStructureLog)




[docs]
class IM(Generic[T], InductiveMinerFramework[T]):



[docs]
    def instance(self) -> IMInstance:
        return IMInstance.IM








[docs]
class IMUVCL(IM[IMDataStructureUVCL]):


[docs]
    def apply(
        self,
        obj: IMDataStructureUVCL,
        parameters: Optional[Dict[str, Any]] = None,
    ) -> ProcessTree:
        empty_traces = EmptyTracesUVCL.apply(obj, parameters)
        if empty_traces is not None:
            return self._recurse(empty_traces[0], empty_traces[1], parameters)
        return super().apply(obj, parameters)