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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 Optional, Tuple, List, Any, Dict
from pm4py.algo.discovery.inductive.cuts.factory import CutFactory
from pm4py.algo.discovery.inductive.dtypes.im_ds import IMDataStructureUVCL
from pm4py.algo.discovery.inductive.fall_through.abc import FallThrough
from pm4py.algo.discovery.inductive.variants.instances import IMInstance
from pm4py.objects.process_tree.obj import ProcessTree, Operator
from pm4py.util.compression import util as comut
from pm4py.util.compression.dtypes import UVCL
from enum import Enum
from pm4py.util import exec_utils, constants
class Parameters(Enum):
MULTIPROCESSING = "multiprocessing"
class ActivityConcurrentUVCL(FallThrough[IMDataStructureUVCL]):
MULTI_PROCESSING_LOWER_BOUND = 20
@classmethod
def _process_candidate(cls, c: Any, log: UVCL, queue=None, ev=None, parameters: Optional[Dict[str, Any]] = None):
l_alt = Counter()
for t in log:
l_alt[tuple(filter(lambda e: e != c, t))] = log[t]
cut = cls._find_cut(IMDataStructureUVCL(l_alt), ev, parameters=parameters)
if queue is not None:
queue.put((c, cut))
return cut if cut is not None else None
@classmethod
def _get_candidate(cls, obj: IMDataStructureUVCL, pool, manager, parameters: Optional[Dict[str, Any]] = None) -> Optional[Any]:
if parameters is None:
parameters = {}
enable_multiprocessing = exec_utils.get_param_value(Parameters.MULTIPROCESSING, parameters, constants.ENABLE_MULTIPROCESSING_DEFAULT)
log = obj.data_structure
candidates = sorted(list(comut.get_alphabet(log)))
if pool is None or manager is None or not enable_multiprocessing or len(candidates) <= ActivityConcurrentUVCL.MULTI_PROCESSING_LOWER_BOUND:
for a in candidates:
cut = cls._process_candidate(a, log, parameters=parameters)
if cut is not None:
return a
else:
q = manager.Queue()
ev = manager.Event()
# avoid dangerous freealloc from Python's garbage collector
manager.support_list.append(q)
manager.support_list.append(ev)
for a in candidates:
pool.apply_async(cls._process_candidate, (a, log, q, ev, parameters))
potentials = set(candidates)
while len(potentials) > 0:
(c, cut) = q.get(block=True)
if cut is None:
potentials.remove(c)
else:
ev.set()
return c
return None
@classmethod
def _find_cut(cls, obj: IMDataStructureUVCL, ev, parameters: Optional[Dict[str, Any]] = None) -> Optional[Tuple[ProcessTree, List[IMDataStructureUVCL]]]:
for c in CutFactory.get_cuts(obj, IMInstance.IM, parameters=parameters):
if ev is not None and ev.is_set():
return None
r = c.apply(obj, parameters)
if r is not None:
return r
return None
@classmethod
def holds(cls, obj: IMDataStructureUVCL, parameters: Optional[Dict[str, Any]] = None) -> bool:
return cls._get_candidate(obj, None, None, parameters) is not None
@classmethod
def apply(cls, obj: IMDataStructureUVCL, pool=None, manager=None, parameters: Optional[Dict[str, Any]] = None) -> Optional[
Tuple[ProcessTree, List[IMDataStructureUVCL]]]:
candidate = cls._get_candidate(obj, pool, manager, parameters)
if candidate is None:
return None
log = obj.data_structure
l_a = Counter()
l_other = Counter()
for t in log:
l_a.update({tuple(filter(lambda e: e == candidate, t)): log[t]})
l_other.update({tuple(filter(lambda e: e != candidate, t)): log[t]})
return ProcessTree(operator=Operator.PARALLEL), [IMDataStructureUVCL(l_a), IMDataStructureUVCL(l_other)]
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