Files
ortools-clone/examples/tests/pywrapcp_test.py
2017-10-17 13:08:10 +02:00

285 lines
7.0 KiB
Python

# Copyright 2010-2017 Google
# 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.
"""Unit tests for python/constraint_solver.swig. Not exhaustive."""
import sys
from ortools.constraint_solver import model_pb2
from ortools.constraint_solver import pywrapcp
def test_member():
print 'test_member'
solver = pywrapcp.Solver('test member')
x = solver.IntVar(1, 10, 'x')
ct = x.Member([1, 2, 3, 5])
print ct
def test_sparse_var():
print 'test_sparse_var'
solver = pywrapcp.Solver('test_sparse_var')
x = solver.IntVar([1, 3, 5], 'x')
print x
def test_modulo():
print 'test_modulo'
solver = pywrapcp.Solver('test_modulo')
x = solver.IntVar(0, 10, 'x')
y = solver.IntVar(2, 4, 'y')
print x % 3
print x % y
def test_limit():
solver = pywrapcp.Solver('test_limit')
# TODO(user): expose the proto-based MakeLimit() API in or-tools and test it
# here.
time = 10000 # ms
branches = 10
failures = sys.maxint
solutions = sys.maxint
smart_time_check = True
cumulative = False
limit = solver.Limit(time, branches, failures, solutions, smart_time_check,
cumulative)
print limit
def test_export():
print 'test_export'
solver = pywrapcp.Solver('test_export')
x = solver.IntVar(1, 10, 'x')
ct = x.Member([1, 2, 3, 5])
solver.Add(ct)
proto = model_pb2.CPModelProto()
proto.model = 'wrong name'
solver.ExportModel(proto)
print repr(proto)
print str(proto)
class SearchMonitorTest(pywrapcp.SearchMonitor):
def __init__(self, solver, nexts):
pywrapcp.SearchMonitor.__init__(self, solver)
self._nexts = nexts
def BeginInitialPropagation(self):
print self._nexts
def EndInitialPropagation(self):
print self._nexts
def test_search_monitor():
print 'test_search_monitor'
solver = pywrapcp.Solver('test search_monitor')
x = solver.IntVar(1, 10, 'x')
ct = (x == 3)
solver.Add(ct)
db = solver.Phase([x], solver.CHOOSE_FIRST_UNBOUND, solver.ASSIGN_MIN_VALUE)
monitor = SearchMonitorTest(solver, x)
solver.Solve(db, monitor)
class DemonTest(pywrapcp.PyDemon):
def __init__(self, x):
pywrapcp.PyDemon.__init__(self)
self._x = x
print 'Demon built'
def Run(self, solver):
print 'in Run(), saw ' + str(self._x)
def test_demon():
print 'test_demon'
solver = pywrapcp.Solver('test_demon')
x = solver.IntVar(1, 10, 'x')
demon = DemonTest(x)
demon.Run(solver)
class ConstraintTest(pywrapcp.PyConstraint):
def __init__(self, solver, x):
pywrapcp.Constraint.__init__(self, solver)
self._x = x
print 'Constraint built'
def Post(self):
print 'in Post()'
self._demon = DemonTest(self._x)
self._x.WhenBound(self._demon)
print 'out of Post()'
def InitialPropagate(self):
print 'in InitialPropagate()'
self._x.SetMin(5)
print self._x
print 'out of InitialPropagate()'
def test_constraint():
print 'test_constraint'
solver = pywrapcp.Solver('test_constraint')
x = solver.IntVar(1, 10, 'x')
myct = ConstraintTest(solver, x)
solver.Add(myct)
db = solver.Phase([x], solver.CHOOSE_FIRST_UNBOUND, solver.ASSIGN_MIN_VALUE)
solver.Solve(db)
class InitialPropagateDemon(pywrapcp.PyDemon):
def __init__(self, ct):
pywrapcp.Demon.__init__(self)
self._ct = ct
def Run(self, solver):
self._ct.InitialPropagate()
class DumbGreaterOrEqualToFive(pywrapcp.PyConstraint):
def __init__(self, solver, x):
pywrapcp.Constraint.__init__(self, solver)
self._x = x
def Post(self):
self._demon = InitialPropagateDemon(self)
self._x.WhenBound(self._demon)
def InitialPropagate(self):
if self._x.Bound():
if self._x.Value() < 5:
print 'Reject %d' % self._x.Value()
self.solver().Fail()
else:
print 'Accept %d' % self._x.Value()
def test_failing_constraint():
print 'test_failing_constraint'
solver = pywrapcp.Solver('test failing constraint')
x = solver.IntVar(1, 10, 'x')
myct = DumbGreaterOrEqualToFive(solver, x)
solver.Add(myct)
db = solver.Phase([x], solver.CHOOSE_FIRST_UNBOUND, solver.ASSIGN_MIN_VALUE)
solver.Solve(db)
def test_domain_iterator():
print 'test_domain_iterator'
solver = pywrapcp.Solver('test_domain_iterator')
x = solver.IntVar([1, 2, 4, 6], 'x')
for i in x.DomainIterator():
print i
class WatchDomain(pywrapcp.PyDemon):
def __init__(self, x):
pywrapcp.Demon.__init__(self)
self._x = x
def Run(self, solver):
for i in self._x.HoleIterator():
print 'Removed %d' % i
class HoleConstraintTest(pywrapcp.PyConstraint):
def __init__(self, solver, x):
pywrapcp.Constraint.__init__(self, solver)
self._x = x
def Post(self):
self._demon = WatchDomain(self._x)
self._x.WhenDomain(self._demon)
def InitialPropagate(self):
self._x.RemoveValue(5)
def test_hole_iterator():
print 'test_hole_iterator'
solver = pywrapcp.Solver('test_hole_iterator')
x = solver.IntVar(1, 10, 'x')
myct = HoleConstraintTest(solver, x)
solver.Add(myct)
db = solver.Phase([x], solver.CHOOSE_FIRST_UNBOUND, solver.ASSIGN_MIN_VALUE)
solver.Solve(db)
class BinarySum(pywrapcp.PyConstraint):
def __init__(self, solver, x, y, z):
pywrapcp.Constraint.__init__(self, solver)
self._x = x
self._y = y
self._z = z
def Post(self):
self._demon = InitialPropagateDemon(self)
self._x.WhenRange(self._demon)
self._y.WhenRange(self._demon)
self._z.WhenRange(self._demon)
def InitialPropagate(self):
self._z.SetRange(self._x.Min() + self._y.Min(),
self._x.Max() + self._y.Max())
self._x.SetRange(self._z.Min() - self._y.Max(),
self._z.Max() - self._y.Min())
self._y.SetRange(self._z.Min() - self._x.Max(),
self._z.Max() - self._x.Min())
def test_sum_constraint():
print 'test_sum_constraint'
solver = pywrapcp.Solver('test_sum_constraint')
x = solver.IntVar(1, 5, 'x')
y = solver.IntVar(1, 5, 'y')
z = solver.IntVar(1, 5, 'z')
binary_sum = BinarySum(solver, x, y, z)
solver.Add(binary_sum)
db = solver.Phase([x, y, z], solver.CHOOSE_FIRST_UNBOUND,
solver.ASSIGN_MIN_VALUE)
solver.NewSearch(db)
while solver.NextSolution():
print '%d + %d == %d' % (x.Value(), y.Value(), z.Value())
solver.EndSearch()
def main():
test_member()
test_sparse_var()
test_modulo()
test_limit()
# TODO(user): expose ExportModel() in python and re-enable this test.
# test_export()
test_search_monitor()
test_demon()
test_failing_constraint()
test_constraint()
test_domain_iterator()
test_hole_iterator()
test_sum_constraint()
if __name__ == '__main__':
main()