def apply_with_alignments(tree,
m_tree,
log,
alignments,
parameters=None,
option=1):
pt_number.apply(tree, 'D')
pt_number.apply(m_tree, 'D')
com_res = pt_compare.apply(tree, m_tree, option)
if com_res.value:
return alignments, copy.deepcopy(alignments)
else:
mapping_t, tree_info = dict(), dict()
tree_utils.recursively_init_tree_tables(tree, tree_info, mapping_t,
[1])
best_worst_cost = alignments_on_pt(EventLog([Trace()]), m_tree,
parameters)[0]['cost']
repairing_alignment = compute_repairing_alignments(
com_res, log, alignments, tree_info, mapping_t, parameters,
best_worst_cost)
return alignments, repairing_alignment
def apply(tree, m_tree, log, parameters=None, option=1):
alignments = alignments_on_pt(log, tree, parameters)
return apply_with_alignments(tree, m_tree, log, alignments, parameters,
option)