80 lines
2.5 KiB
Python
80 lines
2.5 KiB
Python
#!/usr/bin/env python3
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# Copyright 2010-2025 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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from absl.testing import absltest
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from ortools.sat import cp_model_pb2
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from ortools.sat.python import cp_model_builder
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class CpModelBuilderTest(absltest.TestCase):
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def test_basic(self):
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model_proto = cp_model_builder.CpModelProto()
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# Singular message.
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objective = model_proto.objective
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# Singular int.
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self.assertEqual(objective.offset, 0)
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objective.offset = 123
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self.assertEqual(objective.offset, 123)
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# Set a message.
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new_obj = cp_model_builder.CpObjectiveProto()
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new_obj.offset = 456
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model_proto.objective = new_obj
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self.assertEqual(objective.offset, 456)
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# Large int.
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objective.offset = 500000000000
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self.assertEqual(objective.offset, 500000000000)
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# Repeated message.
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my_var = model_proto.variables.add()
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# Singular string.
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self.assertEqual(my_var.name, "")
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my_var.name = "my_var"
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self.assertEqual(my_var.name, "my_var")
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my_var.domain.extend([0, 1])
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domain = list(my_var.domain)
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self.assertLen(domain, 2)
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self.assertEqual(domain[0], 0)
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self.assertEqual(domain[1], 1)
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# Repeated int.
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objective.vars.append(0)
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self.assertLen(objective.vars, 1)
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self.assertEqual(objective.vars[0], 0)
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objective.vars[0] = 42
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self.assertEqual(objective.vars[0], 42)
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# Singular enum
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search_strategy = model_proto.search_strategy.add()
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self.assertEqual(
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search_strategy.variable_selection_strategy,
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cp_model_builder.DecisionStrategyProto.CHOOSE_FIRST,
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)
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search_strategy.variable_selection_strategy = (
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cp_model_builder.DecisionStrategyProto.CHOOSE_LOWEST_MIN
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)
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self.assertEqual(
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search_strategy.variable_selection_strategy,
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cp_model_pb2.DecisionStrategyProto.CHOOSE_LOWEST_MIN,
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)
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if __name__ == "__main__":
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absltest.main()
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