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'''
This file is part of PM4Py (More Info: https://pm4py.fit.fraunhofer.de).
PM4Py is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
PM4Py 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 General Public License for more details.
You should have received a copy of the GNU General Public License
along with PM4Py. If not, see <https://www.gnu.org/licenses/>.
'''
from collections import Counter
from typing import Tuple, List, Optional, Dict, Any
from pm4py.algo.discovery.inductive.dtypes.im_ds import IMDataStructureUVCL, IMDataStructureDFG
from pm4py.algo.discovery.inductive.fall_through.abc import FallThrough
from pm4py.objects.process_tree.obj import ProcessTree, Operator
from pm4py.objects.dfg.obj import DFG
from pm4py.algo.discovery.inductive.dtypes.im_dfg import InductiveDFG
from copy import copy
class EmptyTracesUVCL(FallThrough[IMDataStructureUVCL]):
@classmethod
def apply(cls, obj: IMDataStructureUVCL, pool=None, manager=None, parameters: Optional[Dict[str, Any]] = None) -> Optional[
Tuple[ProcessTree, List[IMDataStructureUVCL]]]:
if cls.holds(obj, parameters):
data_structure = copy(obj.data_structure)
del data_structure[()]
if data_structure:
return ProcessTree(operator=Operator.XOR), [IMDataStructureUVCL(Counter()),
IMDataStructureUVCL(data_structure)]
else:
return ProcessTree(), []
else:
return None
@classmethod
def holds(cls, obj: IMDataStructureUVCL, parameters: Optional[Dict[str, Any]] = None) -> bool:
return len(list(filter(lambda t: len(t) == 0, obj.data_structure))) > 0
class EmptyTracesDFG(FallThrough[IMDataStructureDFG]):
@classmethod
def apply(cls, obj: IMDataStructureDFG, pool=None, manager=None, parameters: Optional[Dict[str, Any]] = None) -> Optional[
Tuple[ProcessTree, List[IMDataStructureDFG]]]:
if cls.holds(obj, parameters):
return ProcessTree(operator=Operator.XOR), [IMDataStructureDFG(InductiveDFG(DFG())),
IMDataStructureDFG(InductiveDFG(obj.data_structure.dfg))]
return None
@classmethod
def holds(cls, obj: IMDataStructureDFG, parameters: Optional[Dict[str, Any]] = None) -> bool:
return obj.data_structure.skip
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