Source code for pm4py.algo.conformance.alignments.process_tree.algorithm

from pm4py.algo.conformance.alignments.process_tree.variants.approximated import (
    matrix_lp as approximated_matrix_lp, )
from pm4py.algo.conformance.alignments.process_tree.variants.approximated import (
    original as approximated_original, )
from pm4py.algo.conformance.alignments.process_tree.variants import (
    search_graph_pt, dynamic_programming, milp
)

from pm4py.util import exec_utils
from enum import Enum

from typing import Optional, Dict, Any, Union
from pm4py.objects.process_tree.obj import ProcessTree
from pm4py.objects.log.obj import EventLog, Trace
from pm4py.util import typing
import pandas as pd




class Variants(Enum):
    APPROXIMATED_ORIGINAL = approximated_original
    APPROXIMATED_MATRIX_LP = approximated_matrix_lp
    SEARCH_GRAPH_PT = search_graph_pt
    DYNAMIC_PROGRAMMING = dynamic_programming
    MILP = milp



DEFAULT_VARIANT = Variants.SEARCH_GRAPH_PT




def apply(
    obj: Union[EventLog, Trace, pd.DataFrame],
    pt: ProcessTree,
    variant=DEFAULT_VARIANT,
    parameters: Optional[Dict[Any, Any]] = None,
) -> Union[typing.AlignmentResult, typing.ListAlignments]:
    """
    Align an event log or a trace with a process tree

    Parameters
    --------------
    obj
        Log / Trace
    pt
        Process tree
    variant
        Variant
    parameters
        Variant-specific parameters

    Returns
    --------------
    alignments
        Alignments
    """
    if parameters is None:
        parameters = {}

    return exec_utils.get_variant(variant).apply(
        obj, pt, parameters=parameters
    )