Source code for pm4py.algo.discovery.inductive.base_case.empty_log

'''
    PM4Py – A Process Mining Library for Python
Copyright (C) 2024 Process Intelligence Solutions UG (haftungsbeschränkt)

This program is free software: you can redistribute it and/or modify
it under the terms of the GNU Affero General Public License as
published by the Free Software Foundation, either version 3 of the
License, or any later version.

This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
GNU Affero General Public License for more details.

You should have received a copy of the GNU Affero General Public License
along with this program.  If not, see this software project's root or
visit <https://www.gnu.org/licenses/>.

Website: https://processintelligence.solutions
Contact: info@processintelligence.solutions
'''
from abc import ABC
from typing import Generic, Optional, Dict, Any

from pm4py.algo.discovery.inductive.base_case.abc import BaseCase, T
from pm4py.algo.discovery.inductive.dtypes.im_ds import (
    IMDataStructureUVCL,
    IMDataStructureDFG,
)
from pm4py.objects.process_tree.obj import ProcessTree




class EmptyLogBaseCase(BaseCase[T], ABC, Generic[T]):



    @classmethod
    def leaf(
        cls, obj=T, parameters: Optional[Dict[str, Any]] = None
    ) -> ProcessTree:
        return ProcessTree()






class EmptyLogBaseCaseUVCL(EmptyLogBaseCase[IMDataStructureUVCL]):



    @classmethod
    def holds(
        cls,
        obj=IMDataStructureUVCL,
        parameters: Optional[Dict[str, Any]] = None,
    ) -> bool:
        return len(obj.data_structure) == 0






class EmptyLogBaseCaseDFG(EmptyLogBaseCase[IMDataStructureDFG]):



    @classmethod
    def holds(
        cls,
        obj=IMDataStructureDFG,
        parameters: Optional[Dict[str, Any]] = None,
    ):
        dfg = obj.dfg
        return (
            len(dfg.graph) == 0
            and len(dfg.start_activities) == 0
            and len(dfg.end_activities) == 0
        )