225 lines
6.6 KiB
Python
225 lines
6.6 KiB
Python
#!/usr/bin/env python3
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# Copyright 2010-2024 Google LLC
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""Tests for ortools.sat.python.swig_helper."""
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from absl.testing import absltest
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from google.protobuf import text_format
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from ortools.sat import cp_model_pb2
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from ortools.sat import sat_parameters_pb2
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from ortools.sat.python import swig_helper
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class Callback(swig_helper.SolutionCallback):
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def __init__(self):
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swig_helper.SolutionCallback.__init__(self)
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self.__solution_count = 0
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def OnSolutionCallback(self):
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print("New Solution")
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self.__solution_count += 1
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def solution_count(self):
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return self.__solution_count
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class SwigHelperTest(absltest.TestCase):
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def testVariableDomain(self):
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model_string = """
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variables { domain: [ -10, 10 ] }
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variables { domain: [ -5, -5, 3, 6 ] }
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"""
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model = cp_model_pb2.CpModelProto()
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self.assertTrue(text_format.Parse(model_string, model))
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d0 = swig_helper.CpSatHelper.variable_domain(model.variables[0])
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d1 = swig_helper.CpSatHelper.variable_domain(model.variables[1])
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self.assertEqual(d0.flattened_intervals(), [-10, 10])
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self.assertEqual(d1.flattened_intervals(), [-5, -5, 3, 6])
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def testSimpleSolve(self):
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model_string = """
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variables { domain: -10 domain: 10 }
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variables { domain: -10 domain: 10 }
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variables { domain: -461168601842738790 domain: 461168601842738790 }
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constraints {
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linear {
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vars: 0
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vars: 1
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coeffs: 1
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coeffs: 1
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domain: -9223372036854775808
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domain: 9223372036854775807
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}
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}
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constraints {
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linear {
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vars: 0
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vars: 1
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vars: 2
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coeffs: 1
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coeffs: 2
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coeffs: -1
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domain: 0
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domain: 9223372036854775807
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}
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}
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objective {
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vars: -3
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coeffs: 1
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scaling_factor: -1
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}"""
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model = cp_model_pb2.CpModelProto()
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self.assertTrue(text_format.Parse(model_string, model))
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solve_wrapper = swig_helper.SolveWrapper()
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solution = solve_wrapper.solve(model)
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self.assertEqual(cp_model_pb2.OPTIMAL, solution.status)
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self.assertEqual(30.0, solution.objective_value)
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def testSimpleSolveWithCore(self):
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model_string = """
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variables { domain: -10 domain: 10 }
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variables { domain: -10 domain: 10 }
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variables { domain: -461168601842738790 domain: 461168601842738790 }
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constraints {
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linear {
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vars: 0
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vars: 1
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coeffs: 1
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coeffs: 1
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domain: -9223372036854775808
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domain: 9223372036854775807
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}
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}
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constraints {
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linear {
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vars: 0
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vars: 1
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vars: 2
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coeffs: 1
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coeffs: 2
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coeffs: -1
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domain: 0
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domain: 9223372036854775807
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}
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}
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objective {
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vars: -3
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coeffs: 1
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scaling_factor: -1
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}"""
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model = cp_model_pb2.CpModelProto()
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self.assertTrue(text_format.Parse(model_string, model))
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parameters = sat_parameters_pb2.SatParameters(optimize_with_core=True)
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solve_wrapper = swig_helper.SolveWrapper()
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solve_wrapper.set_parameters(parameters)
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solution = solve_wrapper.solve(model)
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self.assertEqual(cp_model_pb2.OPTIMAL, solution.status)
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self.assertEqual(30.0, solution.objective_value)
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def testSimpleSolveWithProtoApi(self):
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model = cp_model_pb2.CpModelProto()
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x = model.variables.add()
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x.domain.extend([-10, 10])
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y = model.variables.add()
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y.domain.extend([-10, 10])
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obj_var = model.variables.add()
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obj_var.domain.extend([-461168601842738790, 461168601842738790])
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ct = model.constraints.add()
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ct.linear.vars.extend([0, 1, 2])
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ct.linear.coeffs.extend([1, 2, -1])
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ct.linear.domain.extend([0, 0])
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model.objective.vars.append(-3)
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model.objective.coeffs.append(1)
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model.objective.scaling_factor = -1
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solve_wrapper = swig_helper.SolveWrapper()
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solution = solve_wrapper.solve(model)
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self.assertEqual(cp_model_pb2.OPTIMAL, solution.status)
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self.assertEqual(30.0, solution.objective_value)
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self.assertEqual(30.0, solution.best_objective_bound)
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def testSolutionCallback(self):
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model_string = """
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variables { domain: 0 domain: 5 }
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variables { domain: 0 domain: 5 }
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constraints {
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linear { vars: 0 vars: 1 coeffs: 1 coeffs: 1 domain: 6 domain: 6 } }
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"""
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model = cp_model_pb2.CpModelProto()
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self.assertTrue(text_format.Parse(model_string, model))
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solve_wrapper = swig_helper.SolveWrapper()
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callback = Callback()
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solve_wrapper.add_solution_callback(callback)
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params = sat_parameters_pb2.SatParameters()
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params.enumerate_all_solutions = True
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solve_wrapper.set_parameters(params)
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solution = solve_wrapper.solve(model)
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self.assertEqual(5, callback.solution_count())
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self.assertEqual(cp_model_pb2.OPTIMAL, solution.status)
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def testModelStats(self):
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model_string = """
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variables { domain: -10 domain: 10 }
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variables { domain: -10 domain: 10 }
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variables { domain: -1000 domain: 1000 }
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constraints {
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linear {
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vars: 0
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vars: 1
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coeffs: 1
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coeffs: 1
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domain: -1000
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domain: 1000
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}
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}
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constraints {
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linear {
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vars: 0
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vars: 1
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vars: 2
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coeffs: 1
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coeffs: 2
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coeffs: -1
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domain: 0
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domain: 1000
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}
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}
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objective {
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vars: -3
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coeffs: 1
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scaling_factor: -1
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}
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name: 'testModelStats'
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"""
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model = cp_model_pb2.CpModelProto()
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self.assertTrue(text_format.Parse(model_string, model))
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stats = swig_helper.CpSatHelper.model_stats(model)
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self.assertTrue(stats)
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if __name__ == "__main__":
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absltest.main()
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