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# -------------------------------------------------------------------------
# Copyright (c) 2018 AT&T Intellectual Property
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
# -------------------------------------------------------------------------
#
import itertools
import os
import pymzn
from osdf.logging.osdf_logging import debug_log
from .pci_utils import get_id
BASE_DIR = os.path.dirname(__file__)
MZN_FILE_NAME = os.path.join(BASE_DIR, 'no_conflicts_no_confusion.mzn')
def pci_optimize(cell_id, network_cell_info, cell_info_list):
debug_log.debug("Cell ID {} ".format(cell_id))
dzn_data = {}
dzn_data['NUM_NODES'] = len(cell_info_list)
dzn_data['NUM_PCIS'] = len(cell_info_list)
conflict_edges = get_conflict_edges(cell_id, network_cell_info)
dzn_data['NUM_CONFLICT_EDGES'] = len(conflict_edges)
dzn_data['CONFLICT_EDGES'] = conflict_edges
confusion_edges = get_confusion_edges(cell_id, network_cell_info)
dzn_data['NUM_CONFUSION_EDGES'] = len(confusion_edges)
dzn_data['CONFUSION_EDGES'] = confusion_edges
return solve(dzn_data)
def solve(dzn_data):
return pymzn.minizinc(MZN_FILE_NAME, data=dzn_data)
def get_conflict_edges(cell_id, network_cell_info):
conflict_edges = []
for cell in network_cell_info['cell_list']:
if cell_id == cell['cell_id']:
add_to_conflict_edges(network_cell_info, cell, conflict_edges)
return conflict_edges
def add_to_conflict_edges(network_cell_info, cell, conflict_edges):
cell_id = cell['cell_id']
for nbr in cell.get('nbr_list', []):
conflict_edges.append([get_id(network_cell_info, cell_id), get_id(network_cell_info, nbr['cellId'])])
def get_confusion_edges(cell_id, network_cell_info):
confusion_edges = []
for cell in network_cell_info['cell_list']:
if cell_id == cell['cell_id']:
return add_to_confusion_edges(network_cell_info, cell)
return confusion_edges
def add_to_confusion_edges(network_cell_info, cell):
cell_id = cell['cell_id']
nbr_list = []
for nbr in cell.get('nbr_list', []):
nbr_list.append(get_id(network_cell_info, nbr['cellId']))
return [list(elem) for elem in list(itertools.combinations(nbr_list, 2))]
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