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cp_model_test.py
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cp_model_test.py
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"""Tests for ortools.sat.python.cp_model."""
import unittest
from ortools.sat import cp_model_pb2
from ortools.sat.python import cp_model
from ortools.sat.python import cp_model_helper
class SolutionCounter(cp_model.CpSolverSolutionCallback):
"""Print intermediate solutions."""
def __init__(self):
cp_model.CpSolverSolutionCallback.__init__(self)
self.__solution_count = 0
def on_solution_callback(self):
self.__solution_count += 1
def solution_count(self):
return self.__solution_count
class LogToString(object):
"""Record log in a string."""
def __init__(self):
self.__log = ''
def NewMessage(self, message: str):
self.__log += message
self.__log += '\n'
def Log(self):
return self.__log
class CpModelTest(unittest.TestCase):
def testDomainFromValues(self):
print('testDomainFromValues')
model = cp_model.CpModel()
d = cp_model.Domain.FromValues([0, 1, 2, -2, 5, 4])
self.assertEqual(d.FlattenedIntervals(), [-2, -2, 0, 2, 4, 5])
def testDomainFromIntervals(self):
print('testDomainFromIntervals')
model = cp_model.CpModel()
d = cp_model.Domain.FromIntervals([(0, 3), (5, 5), (-1, 1)])
self.assertEqual(d.FlattenedIntervals(), [-1, 3, 5, 5])
def testCreateIntegerVariable(self):
print('testCreateIntegerVariable')
model = cp_model.CpModel()
x = model.NewIntVar(-10, 10, 'x')
self.assertEqual('x', str(x))
self.assertEqual('x(-10..10)', repr(x))
def testNegation(self):
print('testNegation')
model = cp_model.CpModel()
x = model.NewIntVar(-10, 10, 'x')
b = model.NewBoolVar('b')
nb = b.Not()
self.assertEqual(b.Not(), nb)
self.assertEqual(b.Not().Not(), b)
self.assertEqual(nb.Index(), -b.Index() - 1)
def testLinear(self):
print('testLinear')
model = cp_model.CpModel()
x = model.NewIntVar(-10, 10, 'x')
y = model.NewIntVar(-10, 10, 'y')
model.AddLinearConstraint(x + 2 * y, 0, 10)
model.Minimize(y)
solver = cp_model.CpSolver()
self.assertEqual(cp_model_pb2.OPTIMAL, solver.Solve(model))
self.assertEqual(10, solver.Value(x))
self.assertEqual(-5, solver.Value(y))
def testCstLeVar(self):
print('testCstLeVar')
model = cp_model.CpModel()
x = model.NewIntVar(-10, 10, 'x')
model.Add(3 <= x)
print(model.Proto())
def testLinearNonEqual(self):
print('testLinearNonEqual')
model = cp_model.CpModel()
x = model.NewIntVar(-10, 10, 'x')
y = model.NewIntVar(-10, 10, 'y')
ct = model.Add(-x + y != 3).Proto()
self.assertEqual(4, len(ct.linear.domain))
self.assertEqual(cp_model.INT_MIN, ct.linear.domain[0])
self.assertEqual(2, ct.linear.domain[1])
self.assertEqual(4, ct.linear.domain[2])
self.assertEqual(cp_model.INT_MAX, ct.linear.domain[3])
def testEq(self):
print('testEq')
model = cp_model.CpModel()
x = model.NewIntVar(-10, 10, 'x')
ct = model.Add(x == 2).Proto()
self.assertEqual(1, len(ct.linear.vars))
self.assertEqual(1, len(ct.linear.coeffs))
self.assertEqual(2, len(ct.linear.domain))
self.assertEqual(2, ct.linear.domain[0])
self.assertEqual(2, ct.linear.domain[1])
def testGe(self):
print('testGe')
model = cp_model.CpModel()
x = model.NewIntVar(-10, 10, 'x')
ct = model.Add(x >= 2).Proto()
self.assertEqual(1, len(ct.linear.vars))
self.assertEqual(1, len(ct.linear.coeffs))
self.assertEqual(2, len(ct.linear.domain))
self.assertEqual(2, ct.linear.domain[0])
self.assertEqual(cp_model.INT_MAX, ct.linear.domain[1])
def testGt(self):
print('testGt')
model = cp_model.CpModel()
x = model.NewIntVar(-10, 10, 'x')
ct = model.Add(x > 2).Proto()
self.assertEqual(1, len(ct.linear.vars))
self.assertEqual(1, len(ct.linear.coeffs))
self.assertEqual(2, len(ct.linear.domain))
self.assertEqual(3, ct.linear.domain[0])
self.assertEqual(cp_model.INT_MAX, ct.linear.domain[1])
def testLe(self):
print('testLe')
model = cp_model.CpModel()
x = model.NewIntVar(-10, 10, 'x')
ct = model.Add(x <= 2).Proto()
self.assertEqual(1, len(ct.linear.vars))
self.assertEqual(1, len(ct.linear.coeffs))
self.assertEqual(2, len(ct.linear.domain))
self.assertEqual(cp_model.INT_MIN, ct.linear.domain[0])
self.assertEqual(2, ct.linear.domain[1])
def testLt(self):
print('testLt')
model = cp_model.CpModel()
x = model.NewIntVar(-10, 10, 'x')
ct = model.Add(x < 2).Proto()
self.assertEqual(1, len(ct.linear.vars))
self.assertEqual(1, len(ct.linear.coeffs))
self.assertEqual(2, len(ct.linear.domain))
self.assertEqual(cp_model.INT_MIN, ct.linear.domain[0])
self.assertEqual(1, ct.linear.domain[1])
def testEqVar(self):
print('testEqVar')
model = cp_model.CpModel()
x = model.NewIntVar(-10, 10, 'x')
y = model.NewIntVar(-10, 10, 'y')
ct = model.Add(x == y + 2).Proto()
self.assertEqual(2, len(ct.linear.vars))
self.assertEqual(1, ct.linear.vars[0] + ct.linear.vars[1])
self.assertEqual(2, len(ct.linear.coeffs))
self.assertEqual(0, ct.linear.coeffs[0] + ct.linear.coeffs[1])
self.assertEqual(2, len(ct.linear.domain))
self.assertEqual(2, ct.linear.domain[0])
self.assertEqual(2, ct.linear.domain[1])
def testGeVar(self):
print('testGeVar')
model = cp_model.CpModel()
x = model.NewIntVar(-10, 10, 'x')
y = model.NewIntVar(-10, 10, 'y')
ct = model.Add(x >= 1 - y).Proto()
self.assertEqual(2, len(ct.linear.vars))
self.assertEqual(1, ct.linear.vars[0] + ct.linear.vars[1])
self.assertEqual(2, len(ct.linear.coeffs))
self.assertEqual(1, ct.linear.coeffs[0])
self.assertEqual(1, ct.linear.coeffs[1])
self.assertEqual(2, len(ct.linear.domain))
self.assertEqual(1, ct.linear.domain[0])
self.assertEqual(cp_model.INT_MAX, ct.linear.domain[1])
def testGtVar(self):
print('testGeVar')
model = cp_model.CpModel()
x = model.NewIntVar(-10, 10, 'x')
y = model.NewIntVar(-10, 10, 'y')
ct = model.Add(x > 1 - y).Proto()
self.assertEqual(2, len(ct.linear.vars))
self.assertEqual(1, ct.linear.vars[0] + ct.linear.vars[1])
self.assertEqual(2, len(ct.linear.coeffs))
self.assertEqual(1, ct.linear.coeffs[0])
self.assertEqual(1, ct.linear.coeffs[1])
self.assertEqual(2, len(ct.linear.domain))
self.assertEqual(2, ct.linear.domain[0])
self.assertEqual(cp_model.INT_MAX, ct.linear.domain[1])
def testLeVar(self):
print('testLeVar')
model = cp_model.CpModel()
x = model.NewIntVar(-10, 10, 'x')
y = model.NewIntVar(-10, 10, 'y')
ct = model.Add(x <= 1 - y).Proto()
self.assertEqual(2, len(ct.linear.vars))
self.assertEqual(1, ct.linear.vars[0] + ct.linear.vars[1])
self.assertEqual(2, len(ct.linear.coeffs))
self.assertEqual(1, ct.linear.coeffs[0])
self.assertEqual(1, ct.linear.coeffs[1])
self.assertEqual(2, len(ct.linear.domain))
self.assertEqual(cp_model.INT_MIN, ct.linear.domain[0])
self.assertEqual(1, ct.linear.domain[1])
def testLtVar(self):
print('testLtVar')
model = cp_model.CpModel()
x = model.NewIntVar(-10, 10, 'x')
y = model.NewIntVar(-10, 10, 'y')
ct = model.Add(x < 1 - y).Proto()
self.assertEqual(2, len(ct.linear.vars))
self.assertEqual(1, ct.linear.vars[0] + ct.linear.vars[1])
self.assertEqual(2, len(ct.linear.coeffs))
self.assertEqual(1, ct.linear.coeffs[0])
self.assertEqual(1, ct.linear.coeffs[1])
self.assertEqual(2, len(ct.linear.domain))
self.assertEqual(cp_model.INT_MIN, ct.linear.domain[0])
self.assertEqual(0, ct.linear.domain[1])
def testSimplification1(self):
print('testSimplification1')
model = cp_model.CpModel()
x = model.NewIntVar(-10, 10, 'x')
prod = (x * 2) * 2
self.assertEqual(x, prod.Expression())
self.assertEqual(4, prod.Coefficient())
def testSimplification2(self):
print('testSimplification2')
model = cp_model.CpModel()
x = model.NewIntVar(-10, 10, 'x')
prod = 2 * (x * 2)
self.assertEqual(x, prod.Expression())
self.assertEqual(4, prod.Coefficient())
def testSimplification3(self):
print('testSimplification3')
model = cp_model.CpModel()
x = model.NewIntVar(-10, 10, 'x')
prod = (2 * x) * 2
self.assertEqual(x, prod.Expression())
self.assertEqual(4, prod.Coefficient())
def testSimplification4(self):
print('testSimplification4')
model = cp_model.CpModel()
x = model.NewIntVar(-10, 10, 'x')
prod = 2 * (2 * x)
self.assertEqual(x, prod.Expression())
self.assertEqual(4, prod.Coefficient())
def testLinearNonEqualWithConstant(self):
print('testLinearNonEqualWithConstant')
model = cp_model.CpModel()
x = model.NewIntVar(-10, 10, 'x')
y = model.NewIntVar(-10, 10, 'y')
ct = model.Add(x + y + 5 != 3).Proto()
self.assertEqual(4, len(ct.linear.domain))
# Checks that saturated arithmetics worked.
self.assertEqual(cp_model.INT_MIN, ct.linear.domain[0])
self.assertEqual(-3, ct.linear.domain[1])
self.assertEqual(-1, ct.linear.domain[2])
self.assertEqual(cp_model.INT_MAX, ct.linear.domain[3])
def testLinearWithEnforcement(self):
print('testLinearWithEnforcement')
model = cp_model.CpModel()
x = model.NewIntVar(-10, 10, 'x')
y = model.NewIntVar(-10, 10, 'y')
b = model.NewBoolVar('b')
model.AddLinearConstraint(x + 2 * y, 0, 10).OnlyEnforceIf(
b.Not())
model.Minimize(y)
self.assertEqual(1, len(model.Proto().constraints))
self.assertEqual(-3,
model.Proto().constraints[0].enforcement_literal[0])
def testNaturalApiMinimize(self):
print('testNaturalApiMinimize')
model = cp_model.CpModel()
x = model.NewIntVar(-10, 10, 'x')
y = model.NewIntVar(-10, 10, 'y')
model.Add(x * 2 - 1 * y == 1)
model.Minimize(x * 1 - 2 * y + 3)
solver = cp_model.CpSolver()
self.assertEqual('OPTIMAL', solver.StatusName(solver.Solve(model)))
self.assertEqual(5, solver.Value(x))
self.assertEqual(15, solver.Value(x * 3))
self.assertEqual(6, solver.Value(1 + x))
self.assertEqual(-10.0, solver.ObjectiveValue())
def testNaturalApiMaximize(self):
print('testNaturalApiMaximize')
model = cp_model.CpModel()
x = model.NewIntVar(-10, 10, 'x')
y = model.NewIntVar(-10, 10, 'y')
model.Add(2 * x - y == 1)
model.Maximize(x - 2 * y + 3)
solver = cp_model.CpSolver()
self.assertEqual('OPTIMAL', solver.StatusName(solver.Solve(model)))
self.assertEqual(-4, solver.Value(x))
self.assertEqual(-9, solver.Value(y))
self.assertEqual(17, solver.ObjectiveValue())
def testSum(self):
print('testSum')
model = cp_model.CpModel()
x = [model.NewIntVar(0, 2, 'x%i' % i) for i in range(100)]
model.Add(sum(x) <= 1)
model.Maximize(x[99])
solver = cp_model.CpSolver()
self.assertEqual(cp_model_pb2.OPTIMAL, solver.Solve(model))
self.assertEqual(1.0, solver.ObjectiveValue())
def testAllDifferent(self):
print('testAllDifferent')
model = cp_model.CpModel()
x = [model.NewIntVar(0, 4, 'x%i' % i) for i in range(5)]
model.AddAllDifferent(x)
self.assertEqual(5, len(model.Proto().variables))
self.assertEqual(1, len(model.Proto().constraints))
self.assertEqual(5, len(model.Proto().constraints[0].all_diff.vars))
def testMaxEquality(self):
print('testMaxEquality')
model = cp_model.CpModel()
x = model.NewIntVar(0, 4, 'x')
y = [model.NewIntVar(0, 4, 'y%i' % i) for i in range(5)]
model.AddMaxEquality(x, y)
self.assertEqual(6, len(model.Proto().variables))
self.assertEqual(1, len(model.Proto().constraints))
self.assertEqual(5, len(model.Proto().constraints[0].int_max.vars))
self.assertEqual(0, model.Proto().constraints[0].int_max.target)
def testMinEquality(self):
print('testMinEquality')
model = cp_model.CpModel()
x = model.NewIntVar(0, 4, 'x')
y = [model.NewIntVar(0, 4, 'y%i' % i) for i in range(5)]
model.AddMinEquality(x, y)
self.assertEqual(6, len(model.Proto().variables))
self.assertEqual(1, len(model.Proto().constraints))
self.assertEqual(5, len(model.Proto().constraints[0].int_min.vars))
self.assertEqual(0, model.Proto().constraints[0].int_min.target)
def testMinEqualityWithConstant(self):
print('testMinEqualityWithConstant')
model = cp_model.CpModel()
x = model.NewIntVar(0, 4, 'x')
y = model.NewIntVar(0, 4, 'y')
model.AddMinEquality(x, [y, 3])
self.assertEqual(3, len(model.Proto().variables))
self.assertEqual(1, len(model.Proto().constraints))
self.assertEqual(2, len(model.Proto().constraints[0].int_min.vars))
self.assertEqual(1, model.Proto().constraints[0].int_min.vars[0])
self.assertEqual(2, model.Proto().constraints[0].int_min.vars[1])
self.assertEqual(3, model.Proto().variables[2].domain[0])
self.assertEqual(3, model.Proto().variables[2].domain[1])
def testAbs(self):
print('testAbs')
model = cp_model.CpModel()
x = model.NewIntVar(0, 4, 'x')
y = model.NewIntVar(-5, 5, 'y')
model.AddMaxEquality(x, [-y, y])
self.assertEqual(2, len(model.Proto().variables))
self.assertEqual(1, len(model.Proto().constraints))
self.assertEqual(2, len(model.Proto().constraints[0].int_max.vars))
self.assertEqual(-2, model.Proto().constraints[0].int_max.vars[0])
self.assertEqual(1, model.Proto().constraints[0].int_max.vars[1])
passed = False
try:
z = abs(x)
except NotImplementedError as e:
self.assertEqual(
'calling abs() on a linear expression is not supported, '
'please use CpModel.AddAbsEquality',
str(e))
passed = True
self.assertTrue(passed, 'abs() did not raise an error')
def testDivision(self):
print('testDivision')
model = cp_model.CpModel()
x = model.NewIntVar(0, 10, 'x')
y = model.NewIntVar(0, 50, 'y')
model.AddDivisionEquality(x, y, 6)
self.assertEqual(3, len(model.Proto().variables))
self.assertEqual(1, len(model.Proto().constraints))
self.assertEqual(2, len(model.Proto().constraints[0].int_div.vars))
self.assertEqual(1, model.Proto().constraints[0].int_div.vars[0])
self.assertEqual(2, model.Proto().constraints[0].int_div.vars[1])
def testModulo(self):
print('testModulo')
model = cp_model.CpModel()
x = model.NewIntVar(0, 10, 'x')
y = model.NewIntVar(0, 50, 'y')
model.AddModuloEquality(x, y, 6)
self.assertEqual(3, len(model.Proto().variables))
self.assertEqual(1, len(model.Proto().constraints))
self.assertEqual(2, len(model.Proto().constraints[0].int_mod.vars))
self.assertEqual(1, model.Proto().constraints[0].int_mod.vars[0])
self.assertEqual(2, model.Proto().constraints[0].int_mod.vars[1])
def testProdEquality(self):
print('testProdEquality')
model = cp_model.CpModel()
x = model.NewIntVar(0, 4, 'x')
y = [model.NewIntVar(0, 4, 'y%i' % i) for i in range(5)]
model.AddProdEquality(x, y)
self.assertEqual(6, len(model.Proto().variables))
self.assertEqual(1, len(model.Proto().constraints))
self.assertEqual(5, len(model.Proto().constraints[0].int_prod.vars))
self.assertEqual(0, model.Proto().constraints[0].int_prod.target)
def testBoolOr(self):
print('testBoolOr')
model = cp_model.CpModel()
x = [model.NewBoolVar('x%i' % i) for i in range(5)]
model.AddBoolOr(x)
self.assertEqual(5, len(model.Proto().variables))
self.assertEqual(1, len(model.Proto().constraints))
self.assertEqual(5, len(model.Proto().constraints[0].bool_or.literals))
model.AddBoolOr([x[0], x[1], False])
self.assertEqual(6, len(model.Proto().variables))
def testBoolAnd(self):
print('testBoolAnd')
model = cp_model.CpModel()
x = [model.NewBoolVar('x%i' % i) for i in range(5)]
model.AddBoolAnd(x)
self.assertEqual(5, len(model.Proto().variables))
self.assertEqual(1, len(model.Proto().constraints))
self.assertEqual(5,
len(model.Proto().constraints[0].bool_and.literals))
model.AddBoolAnd([x[1], x[2].Not(), True])
self.assertEqual(1, model.Proto().constraints[1].bool_and.literals[0])
self.assertEqual(-3, model.Proto().constraints[1].bool_and.literals[1])
self.assertEqual(5, model.Proto().constraints[1].bool_and.literals[2])
def testBoolXOr(self):
print('testBoolXOr')
model = cp_model.CpModel()
x = [model.NewBoolVar('x%i' % i) for i in range(5)]
model.AddBoolXOr(x)
self.assertEqual(5, len(model.Proto().variables))
self.assertEqual(1, len(model.Proto().constraints))
self.assertEqual(5,
len(model.Proto().constraints[0].bool_xor.literals))
def testAssertIsInt64(self):
print('testAssertIsInt64')
cp_model_helper.AssertIsInt64(123)
cp_model_helper.AssertIsInt64(2**63 - 1)
cp_model_helper.AssertIsInt64(-2**63)
def testCapInt64(self):
print('testCapInt64')
self.assertEqual(
cp_model_helper.CapInt64(cp_model.INT_MAX), cp_model.INT_MAX)
self.assertEqual(
cp_model_helper.CapInt64(cp_model.INT_MAX + 1), cp_model.INT_MAX)
self.assertEqual(
cp_model_helper.CapInt64(cp_model.INT_MIN), cp_model.INT_MIN)
self.assertEqual(
cp_model_helper.CapInt64(cp_model.INT_MIN - 1), cp_model.INT_MIN)
self.assertEqual(cp_model_helper.CapInt64(15), 15)
def testCapSub(self):
print('testCapSub')
self.assertEqual(cp_model_helper.CapSub(10, 5), 5)
self.assertEqual(
cp_model_helper.CapSub(cp_model.INT_MIN, 5), cp_model.INT_MIN)
self.assertEqual(
cp_model_helper.CapSub(cp_model.INT_MIN, -5), cp_model.INT_MIN)
self.assertEqual(
cp_model_helper.CapSub(cp_model.INT_MAX, 5), cp_model.INT_MAX)
self.assertEqual(
cp_model_helper.CapSub(cp_model.INT_MAX, -5), cp_model.INT_MAX)
self.assertEqual(
cp_model_helper.CapSub(2, cp_model.INT_MIN), cp_model.INT_MAX)
self.assertEqual(
cp_model_helper.CapSub(2, cp_model.INT_MAX), cp_model.INT_MIN)
def testGetOrMakeIndexFromConstant(self):
print('testGetOrMakeIndexFromConstant')
model = cp_model.CpModel()
self.assertEqual(0, model.GetOrMakeIndexFromConstant(3))
self.assertEqual(0, model.GetOrMakeIndexFromConstant(3))
self.assertEqual(1, model.GetOrMakeIndexFromConstant(5))
model_var = model.Proto().variables[0]
self.assertEqual(2, len(model_var.domain))
self.assertEqual(3, model_var.domain[0])
self.assertEqual(3, model_var.domain[1])
def testStr(self):
model = cp_model.CpModel()
x = model.NewIntVar(0, 4, 'x')
self.assertEqual(str(x == 2), 'x == 2')
self.assertEqual(str(x >= 2), 'x >= 2')
self.assertEqual(str(x <= 2), 'x <= 2')
self.assertEqual(str(x > 2), 'x >= 3')
self.assertEqual(str(x < 2), 'x <= 1')
self.assertEqual(
str(x != 2),
'x in [-9223372036854775808..1, 3..9223372036854775807]')
self.assertEqual(str(x * 3), '(3 * x)')
self.assertEqual(str(-x), '-x')
self.assertEqual(str(x + 3), '(x + 3)')
self.assertEqual(str(x <= cp_model.INT_MAX), 'True (unbounded expr x)')
self.assertEqual(
str(x != 9223372036854775807), 'x <= 9223372036854775806')
self.assertEqual(
str(x != -9223372036854775808), 'x >= -9223372036854775807')
y = model.NewIntVar(0, 4, 'y')
self.assertEqual(
str(x != y),
'(x + -y) in [-9223372036854775808..-1, 1..9223372036854775807]')
self.assertEqual('0 <= x <= 10',
str(cp_model.BoundedLinearExpression(x, [0, 10])))
print(str(model))
def testRepr(self):
model = cp_model.CpModel()
x = model.NewIntVar(0, 4, 'x')
y = model.NewIntVar(0, 3, 'y')
self.assertEqual(repr(x), 'x(0..4)')
self.assertEqual(repr(x * 2), 'ProductCst(x(0..4), 2)')
self.assertEqual(repr(x + y), 'SumArray(x(0..4), y(0..3), 0)')
self.assertEqual(repr(x + 5), 'SumArray(x(0..4), 5)')
def testDisplayBounds(self):
print('testDisplayBounds')
self.assertEqual('10..20', cp_model.DisplayBounds([10, 20]))
self.assertEqual('10', cp_model.DisplayBounds([10, 10]))
self.assertEqual('10..15, 20..30',
cp_model.DisplayBounds([10, 15, 20, 30]))
def testIntegerExpressionErrors(self):
print('testIntegerExpressionErrors')
model = cp_model.CpModel()
x = model.NewIntVar(0, 4, 'x')
y = model.NewIntVar(0, 3, 'y')
errors = 0
try:
not_x = x.Not()
except:
errors += 1
try:
prod = x * y
except:
errors += 1
self.assertEqual(errors, 2)
def testLinearizedBoolAndEqual(self):
print('testLinearizedBoolAndEqual')
model = cp_model.CpModel()
t = model.NewBoolVar('t')
a = model.NewBoolVar('a')
b = model.NewBoolVar('b')
model.AddBoolAnd([a, b]).OnlyEnforceIf(t)
model.Add(t == 1).OnlyEnforceIf([a, b])
solver = cp_model.CpSolver()
solution_counter = SolutionCounter()
status = solver.SearchForAllSolutions(model, solution_counter)
self.assertEqual(status, cp_model.OPTIMAL)
self.assertEqual(4, solution_counter.solution_count())
def testSequentialSolve(self):
print('testSequentialSolve')
model = cp_model.CpModel()
t = model.NewBoolVar('t')
a = model.NewBoolVar('a')
b = model.NewBoolVar('b')
model.AddBoolAnd([a, b]).OnlyEnforceIf(t)
model.Add(t == 1).OnlyEnforceIf([a, b])
solver = cp_model.CpSolver()
status1 = solver.Solve(model)
status2 = solver.Solve(model)
self.assertEqual(status1, status2)
def testPresolveBoolean(self):
print('testPresolveBoolean')
model = cp_model.CpModel()
b = model.NewBoolVar('b')
x = model.NewIntVar(1, 10, 'x')
y = model.NewIntVar(1, 10, 'y')
# b implies x == y via linear inequations
model.Add(x - y >= 9 * (b - 1))
model.Add(y - x >= 9 * (b - 1))
obj = 100 * b + x - 2 * y
model.Minimize(obj)
solver = cp_model.CpSolver()
status = solver.Solve(model)
self.assertEqual(solver.ObjectiveValue(), -19.0)
def testWindowsProtobufOverflow(self):
print('testWindowsProtobufOverflow')
model = cp_model.CpModel()
a = model.NewIntVar(0, 10, 'a')
b = model.NewIntVar(0, 10, 'b')
ct = model.Add(a+b >= 5)
self.assertEqual(ct.Proto().linear.domain[1], cp_model.INT_MAX)
def testExporToFile(self):
print('testExporToFile')
model = cp_model.CpModel()
a = model.NewIntVar(0, 10, 'a')
b = model.NewIntVar(0, 10, 'b')
ct = model.Add(a+b >= 5)
self.assertTrue(model.ExportToFile('test_model_python.pbtxt'))
def testProductIsNull(self):
print('testProductIsNull')
model = cp_model.CpModel()
a = model.NewIntVar(0, 10, 'a')
b = model.NewIntVar(0, 8, 'b')
p = model.NewIntVar(0, 80, 'p')
model.AddMultiplicationEquality(p, [a, b])
model.Add(p == 0)
solver = cp_model.CpSolver()
status = solver.Solve(model)
self.assertEqual(status, cp_model.OPTIMAL)
def testCustomLog(self):
print('testCustomLog')
model = cp_model.CpModel()
x = model.NewIntVar(-10, 10, 'x')
y = model.NewIntVar(-10, 10, 'y')
model.AddLinearConstraint(x + 2 * y, 0, 10)
model.Minimize(y)
solver = cp_model.CpSolver()
solver.parameters.log_search_progress = True
solver.parameters.log_to_stdout = False
log_callback = LogToString()
solver.log_callback = log_callback.NewMessage
self.assertEqual(cp_model.OPTIMAL, solver.Solve(model))
self.assertEqual(10, solver.Value(x))
self.assertEqual(-5, solver.Value(y))
print(log_callback.Log())
self.assertRegex(log_callback.Log(), 'Parameters.*log_to_stdout.*')
def testIndexToProto(self):
print('testIndexToProto')
model = cp_model.CpModel()
# Creates the variables.
v0 = model.NewBoolVar('buggyVarIndexToVarProto')
v1 = model.NewBoolVar('v1')
self.assertEqual(model.VarIndexToVarProto(0).name, v0.Name())
def testWrongBoolEvaluation(self):
print('testWrongBoolEvaluation')
model = cp_model.CpModel()
# Creates the variables.
v0 = model.NewIntVar(0, 10, 'v0')
v1 = model.NewIntVar(0, 10, 'v1')
v2 = model.NewIntVar(0, 10, 'v2')
with self.assertRaises(NotImplementedError):
if v0 == 2:
print('== passed')
with self.assertRaises(NotImplementedError):
if v0 >= 3:
print('>= passed')
with self.assertRaises(NotImplementedError):
model.Add(v2 == min(v0, v1))
print('min passed')
with self.assertRaises(NotImplementedError):
if v0:
print('bool passed')
if __name__ == '__main__':
unittest.main(verbosity=2)