224 lines
6.6 KiB
Python
224 lines
6.6 KiB
Python
#!/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.
|
|
# 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.
|
|
|
|
"""Tests for ortools.sat.python.swig_helper."""
|
|
|
|
from absl.testing import absltest
|
|
from google.protobuf import text_format
|
|
from ortools.sat import cp_model_pb2
|
|
from ortools.sat import sat_parameters_pb2
|
|
from ortools.sat.python import swig_helper
|
|
|
|
|
|
class Callback(swig_helper.SolutionCallback):
|
|
def __init__(self):
|
|
swig_helper.SolutionCallback.__init__(self)
|
|
self.__solution_count = 0
|
|
|
|
def OnSolutionCallback(self):
|
|
print("New Solution")
|
|
self.__solution_count += 1
|
|
|
|
def SolutionCount(self):
|
|
return self.__solution_count
|
|
|
|
|
|
class SwigHelperTest(absltest.TestCase):
|
|
def testVariableDomain(self):
|
|
model_string = """
|
|
variables { domain: [ -10, 10 ] }
|
|
variables { domain: [ -5, -5, 3, 6 ] }
|
|
"""
|
|
model = cp_model_pb2.CpModelProto()
|
|
self.assertTrue(text_format.Parse(model_string, model))
|
|
|
|
d0 = swig_helper.CpSatHelper.VariableDomain(model.variables[0])
|
|
d1 = swig_helper.CpSatHelper.VariableDomain(model.variables[1])
|
|
|
|
self.assertEqual(d0.FlattenedIntervals(), [-10, 10])
|
|
self.assertEqual(d1.FlattenedIntervals(), [-5, -5, 3, 6])
|
|
|
|
def testSimpleSolve(self):
|
|
model_string = """
|
|
variables { domain: -10 domain: 10 }
|
|
variables { domain: -10 domain: 10 }
|
|
variables { domain: -461168601842738790 domain: 461168601842738790 }
|
|
constraints {
|
|
linear {
|
|
vars: 0
|
|
vars: 1
|
|
coeffs: 1
|
|
coeffs: 1
|
|
domain: -9223372036854775808
|
|
domain: 9223372036854775807
|
|
}
|
|
}
|
|
constraints {
|
|
linear {
|
|
vars: 0
|
|
vars: 1
|
|
vars: 2
|
|
coeffs: 1
|
|
coeffs: 2
|
|
coeffs: -1
|
|
domain: 0
|
|
domain: 9223372036854775807
|
|
}
|
|
}
|
|
objective {
|
|
vars: -3
|
|
coeffs: 1
|
|
scaling_factor: -1
|
|
}"""
|
|
model = cp_model_pb2.CpModelProto()
|
|
self.assertTrue(text_format.Parse(model_string, model))
|
|
|
|
solve_wrapper = swig_helper.SolveWrapper()
|
|
solution = solve_wrapper.Solve(model)
|
|
|
|
self.assertEqual(cp_model_pb2.OPTIMAL, solution.status)
|
|
self.assertEqual(30.0, solution.objective_value)
|
|
|
|
def testSimpleSolveWithCore(self):
|
|
model_string = """
|
|
variables { domain: -10 domain: 10 }
|
|
variables { domain: -10 domain: 10 }
|
|
variables { domain: -461168601842738790 domain: 461168601842738790 }
|
|
constraints {
|
|
linear {
|
|
vars: 0
|
|
vars: 1
|
|
coeffs: 1
|
|
coeffs: 1
|
|
domain: -9223372036854775808
|
|
domain: 9223372036854775807
|
|
}
|
|
}
|
|
constraints {
|
|
linear {
|
|
vars: 0
|
|
vars: 1
|
|
vars: 2
|
|
coeffs: 1
|
|
coeffs: 2
|
|
coeffs: -1
|
|
domain: 0
|
|
domain: 9223372036854775807
|
|
}
|
|
}
|
|
objective {
|
|
vars: -3
|
|
coeffs: 1
|
|
scaling_factor: -1
|
|
}"""
|
|
model = cp_model_pb2.CpModelProto()
|
|
self.assertTrue(text_format.Parse(model_string, model))
|
|
|
|
parameters = sat_parameters_pb2.SatParameters()
|
|
parameters.optimize_with_core = True
|
|
|
|
solve_wrapper = swig_helper.SolveWrapper()
|
|
solve_wrapper.SetParameters(parameters)
|
|
solution = solve_wrapper.Solve(model)
|
|
|
|
self.assertEqual(cp_model_pb2.OPTIMAL, solution.status)
|
|
self.assertEqual(30.0, solution.objective_value)
|
|
|
|
def testSimpleSolveWithProtoApi(self):
|
|
model = cp_model_pb2.CpModelProto()
|
|
x = model.variables.add()
|
|
x.domain.extend([-10, 10])
|
|
y = model.variables.add()
|
|
y.domain.extend([-10, 10])
|
|
obj_var = model.variables.add()
|
|
obj_var.domain.extend([-461168601842738790, 461168601842738790])
|
|
ct = model.constraints.add()
|
|
ct.linear.vars.extend([0, 1, 2])
|
|
ct.linear.coeffs.extend([1, 2, -1])
|
|
ct.linear.domain.extend([0, 0])
|
|
model.objective.vars.append(-3)
|
|
model.objective.coeffs.append(1)
|
|
model.objective.scaling_factor = -1
|
|
|
|
solve_wrapper = swig_helper.SolveWrapper()
|
|
solution = solve_wrapper.Solve(model)
|
|
|
|
self.assertEqual(cp_model_pb2.OPTIMAL, solution.status)
|
|
self.assertEqual(30.0, solution.objective_value)
|
|
self.assertEqual(30.0, solution.best_objective_bound)
|
|
|
|
def testSolutionCallback(self):
|
|
model_string = """
|
|
variables { domain: 0 domain: 5 }
|
|
variables { domain: 0 domain: 5 }
|
|
constraints {
|
|
linear { vars: 0 vars: 1 coeffs: 1 coeffs: 1 domain: 6 domain: 6 } }
|
|
"""
|
|
model = cp_model_pb2.CpModelProto()
|
|
self.assertTrue(text_format.Parse(model_string, model))
|
|
|
|
solve_wrapper = swig_helper.SolveWrapper()
|
|
callback = Callback()
|
|
solve_wrapper.AddSolutionCallback(callback)
|
|
params = sat_parameters_pb2.SatParameters()
|
|
params.enumerate_all_solutions = True
|
|
solve_wrapper.SetParameters(params)
|
|
solution = solve_wrapper.Solve(model)
|
|
|
|
self.assertEqual(5, callback.SolutionCount())
|
|
self.assertEqual(cp_model_pb2.OPTIMAL, solution.status)
|
|
|
|
def testModelStats(self):
|
|
model_string = """
|
|
variables { domain: -10 domain: 10 }
|
|
variables { domain: -10 domain: 10 }
|
|
variables { domain: -1000 domain: 1000 }
|
|
constraints {
|
|
linear {
|
|
vars: 0
|
|
vars: 1
|
|
coeffs: 1
|
|
coeffs: 1
|
|
domain: -1000
|
|
domain: 1000
|
|
}
|
|
}
|
|
constraints {
|
|
linear {
|
|
vars: 0
|
|
vars: 1
|
|
vars: 2
|
|
coeffs: 1
|
|
coeffs: 2
|
|
coeffs: -1
|
|
domain: 0
|
|
domain: 1000
|
|
}
|
|
}
|
|
objective {
|
|
vars: -3
|
|
coeffs: 1
|
|
scaling_factor: -1
|
|
}
|
|
name: 'testModelStats'
|
|
"""
|
|
model = cp_model_pb2.CpModelProto()
|
|
self.assertTrue(text_format.Parse(model_string, model))
|
|
stats = swig_helper.CpSatHelper.ModelStats(model)
|
|
self.assertTrue(stats)
|
|
|
|
|
|
if __name__ == "__main__":
|
|
absltest.main()
|