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test_ser_tree_ilp_cplex.py
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test_ser_tree_ilp_cplex.py
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# Copyright 2023 Janos Czentye
#
# 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 math
import pathlib
import pprint
import sys
import time
import networkx as nx
import pytest
from slambuc.alg import LP_LAT
from slambuc.alg.app import NAME
from slambuc.alg.tree.serial.ilp_cplex import (build_greedy_tree_cplex_model, build_tree_cplex_model,
tree_cplex_partitioning, extract_subtrees_from_cplex_xmatrix,
build_tree_cfg_cpo_model, CPO_PATH, recreate_subtrees_from_cpo_xdict)
from slambuc.alg.util import ibacktrack_chain
from slambuc.misc.random import get_random_tree
from slambuc.misc.util import (evaluate_ser_tree_partitioning, print_var_matrix, convert_var_dict,
print_cplex_matrix_values, get_cpo_path, get_cplex_path)
@pytest.mark.skipif(get_cpo_path() is None, reason="CPO is not available!")
def test_cpo_model_creation(save_file: bool = False):
tree = nx.read_gml(pathlib.Path(__file__).parent / "data/graph_test_tree_ser.gml", destringizer=int)
tree.graph[NAME] += "-cplex_ser"
cpath = set(ibacktrack_chain(tree, 1, 10))
params = dict(tree=tree,
root=1,
cpath=cpath,
M=6,
L=430,
delay=10)
print(" Test input ".center(80, '='))
pprint.pprint(params)
print('=' * 80)
_s = time.perf_counter()
model, X = build_tree_cfg_cpo_model(**params)
_d = time.perf_counter() - _s
print(f"Greedy CPO Model building time: {_d * 1000} ms")
#
print("Summary:")
model.print_information()
print("Model:")
model.export_model(short_output=True)
if save_file:
model.export_model("chain_model.lp")
@pytest.mark.skipif(get_cpo_path() is None, reason="CPO is not available!")
def test_cpo_model_solution():
tree = nx.read_gml(pathlib.Path(__file__).parent / "data/graph_test_tree_ser.gml", destringizer=int)
tree.graph[NAME] += "-cplex_ser"
cpath = set(ibacktrack_chain(tree, 1, 10))
params = dict(tree=tree,
root=1,
cpath=cpath,
M=6,
# L=math.inf,
L=430,
delay=10)
model, Xn = build_tree_cfg_cpo_model(**params)
print("CPO Greedy model")
model.print_information()
print("Solve model...")
solution = model.solve(agent='local', execfile=CPO_PATH,
TimeMode='ElapsedTime', LogVerbosity='Verbose', WarningLevel=3,
SearchType='DepthFirst', Workers=1)
print("Solve status:", solution.get_solve_status())
print("Solution time:", solution.get_solve_time())
print("Result:")
solution.print_solution()
print(f"Cost/Lat: {solution.get_objective_values()[0]} / {solution.get_kpis()[LP_LAT]}")
_s = time.perf_counter()
partition = recreate_subtrees_from_cpo_xdict(tree, solution, Xn)
_d = time.perf_counter() - _s
print(f"Recreate: {_d * 1000} ms")
print(f"Partitioning: {partition = }")
########################################################################################################################
@pytest.mark.skipif(get_cplex_path() is None, reason="CPLEX is not available!")
def test_cplex_model_creation(save_file: bool = False):
tree = nx.read_gml(pathlib.Path(__file__).parent / "data/graph_test_tree_ser.gml", destringizer=int)
tree.graph[NAME] += "-cplex_ser"
cpath = set(ibacktrack_chain(tree, 1, 10))
params = dict(tree=tree,
root=1,
cpath=cpath,
M=6,
L=430,
delay=10)
print(" Test input ".center(80, '='))
pprint.pprint(params)
print('=' * 80)
_s = time.perf_counter()
model_greedy, X_greedy = build_greedy_tree_cplex_model(**params)
_d = time.perf_counter() - _s
print(f"Greedy Model building time: {_d * 1000} ms")
_s = time.perf_counter()
model, X = build_tree_cplex_model(**params)
_d = time.perf_counter() - _s
print(f"Direct Model building time: {_d * 1000} ms")
X = convert_var_dict(X)
X_greedy = convert_var_dict(X_greedy)
print(" Decision variables ".center(80, '='))
print("Greedy:")
print_var_matrix(X_greedy)
print("Direct:")
print_var_matrix(X)
#
print("Summary:")
model.print_information()
if save_file:
model.export_as_lp("tree_cplex_model.lp")
@pytest.mark.skipif(get_cplex_path() is None, reason="CPLEX is not available!")
@pytest.mark.skipif(not (sys.version_info < (3, 11)), reason="PY version is not supported!")
def test_cplex_model_solution():
tree = nx.read_gml(pathlib.Path(__file__).parent / "data/graph_test_tree_ser.gml", destringizer=int)
tree.graph[NAME] += "-cplex_ser"
cpath = set(ibacktrack_chain(tree, 1, 10))
params = dict(tree=tree,
root=1,
cpath=cpath,
M=6,
# L=math.inf,
L=430,
delay=10)
print("Test greedy model")
model, X = build_greedy_tree_cplex_model(**params)
model.solve(log_output=True)
model.print_solution()
print(" build CPLEX model ".center(80, '='))
model, X = build_tree_cplex_model(**params)
model.print_information()
print(" Run CPLEX solver ".center(80, '='))
solution = model.solve(log_output=True)
print(f"Cost/Lat: {solution.get_objective_value()} / {model.kpi_value_by_name(LP_LAT)}")
print("Model report:")
model.report()
#
print("Model solution:")
model.print_solution()
print("Solution details:")
print(model.get_solve_details())
print_cplex_matrix_values(convert_var_dict(X))
_s = time.perf_counter()
ext_partition = extract_subtrees_from_cplex_xmatrix(X)
_d = time.perf_counter() - _s
print(f"Extract: {_d * 1000} ms")
print(f"Partitioning: {ext_partition = }")
########################################################################################################################
def run_test(tree: nx.DiGraph, root: int, cp_end: int, M: int, L: int, delay: int):
partition, opt_cost, opt_lat = tree_cplex_partitioning(tree, root, M, L, cp_end, delay)
evaluate_ser_tree_partitioning(tree, partition, opt_cost, opt_lat, root, cp_end, M, L, delay)
return partition, opt_cost, opt_lat
@pytest.mark.skipif(get_cplex_path() is None, reason="CPLEX is not available!")
@pytest.mark.skipif(not (sys.version_info < (3, 11)), reason="PY version is not supported!")
def test_ser_tree():
tree = nx.read_gml(pathlib.Path(__file__).parent / "data/graph_test_tree_ser.gml", destringizer=int)
tree.graph[NAME] += "-cplex_ser"
params = dict(tree=tree,
root=1,
cp_end=10,
M=6,
# L=math.inf,
L=430,
delay=10)
run_test(**params)
@pytest.mark.skipif(get_cplex_path() is None, reason="CPLEX is not available!")
@pytest.mark.skipif(not (sys.version_info < (3, 11)), reason="PY version is not supported!")
def test_random_ser_tree(n: int = 10):
tree = get_random_tree(n)
tree.graph[NAME] += "-cplex_ser"
params = dict(tree=tree,
root=1,
cp_end=n,
M=6,
L=math.inf,
delay=10)
run_test(**params)
if __name__ == '__main__':
# test_cpo_model_creation()
test_cpo_model_solution()
#
# test_cplex_model_creation(save_file=False)
# test_cplex_model_solution()
#
# test_ser_tree()
# test_random_ser_tree()