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more absl::string_view in the c++ code; sync examples/python, remove jniutils.h; move sat/python/visualization.py to sat/colab

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Laurent Perron
2023-01-29 21:20:58 +01:00
parent 576fb3fca5
commit a06d0ed7a0
51 changed files with 2516 additions and 1335 deletions
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examples/python/task_allocation_sat.py
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@@ -1,3 +1,4 @@
#!/usr/bin/env python3
# Copyright 2010-2022 Google LLC
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
@@ -11,218 +12,269 @@
# See the License for the specific language governing permissions and
# limitations under the License.
"""CP-SAT model for task allocation problem.
see
http://yetanothermathprogrammingconsultant.blogspot.com/2018/09/minizinc-cpsat-vs-mip.html
see http://yetanothermathprogrammingconsultant.blogspot.com/2018/09/minizinc-
cpsat-vs-mip.html
"""
from typing import Sequence
from absl import app
from ortools.sat.python import cp_model
def main():
def task_allocation_sat():
"""Solves the task allocation problem."""
# Availability matrix.
available = [[
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0, 0, 0, 0, 0, 0, 0, 0, 0, 0
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0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0,
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0, 0, 0, 0, 0, 0, 0, 0, 0, 0
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0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0
],
[
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0
],
[
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1,
1, 0, 0, 0, 0, 0, 0, 0, 0, 0
],
[
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1,
1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0
]]
ntasks = len(available)
nslots = len(available[0])
@@ -245,15 +297,18 @@ def main():
for task in all_tasks:
model.Add(
sum(assign[(task, slot)] for slot in all_slots
sum(assign[(task, slot)]
for slot in all_slots
if available[task][slot] == 1) == 1)
for slot in all_slots:
model.Add(
sum(assign[(task, slot)] for task in all_tasks
sum(assign[(task, slot)]
for task in all_tasks
if available[task][slot] == 1) <= capacity)
model.AddBoolOr([
assign[(task, slot)] for task in all_tasks
assign[(task, slot)]
for task in all_tasks
if available[task][slot] == 1
]).OnlyEnforceIf(slot_used[slot])
for task in all_tasks:
@@ -273,7 +328,7 @@ def main():
solver = cp_model.CpSolver()
# Uses the portfolion of heuristics.
solver.parameters.log_search_progress = True
solver.parameters.num_search_workers = 6
solver.parameters.num_search_workers = 16
status = solver.Solve(model)
print('Statistics')
@@ -282,5 +337,11 @@ def main():
print(' - wall time : %f s' % solver.WallTime())
def main(argv: Sequence[str]) -> None:
if len(argv) > 1:
raise app.UsageError('Too many command-line arguments.')
task_allocation_sat()
if __name__ == '__main__':
main()
app.run(main)