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#########################################################################
# MacSyLib - Python library to detect macromolecular systems #
# in prokaryotes protein dataset using systems modelling #
# and similarity search. #
# #
# Authors: Sophie Abby, Bertrand Neron #
# Copyright (c) 2014-2025 Institut Pasteur (Paris) and CNRS. #
# See the COPYRIGHT file for details #
# #
# This file is part of MacSyLib package. #
# #
# MacSyLib 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. #
# #
# MacSyLib 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 MacSyLib (COPYING). #
# If not, see <https://www.gnu.org/licenses/>. #
#########################################################################
import os
import argparse
import itertools
from macsylib.hit import CoreHit, ModelHit, Loner, HitWeight
from macsylib.config import Config, MacsyDefaults
from macsylib.gene import CoreGene, ModelGene, Exchangeable, GeneStatus
from macsylib.profile import ProfileFactory
from macsylib.model import Model
from macsylib.registries import ModelLocation
from macsylib.cluster import Cluster
from macsylib.system import System, HitSystemTracker, LikelySystem, UnlikelySystem, AbstractUnordered, RejectedCandidate
from macsylib.solution import Solution
from macsylib.serialization import (TxtSystemSerializer, TsvSystemSerializer, TsvSolutionSerializer, \
TxtLikelySystemSerializer, TsvLikelySystemSerializer,
TxtUnikelySystemSerializer, TsvSpecialHitSerializer, TsvRejectedCandidatesSerializer)
from tests import MacsyTest
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