Files
ortools-clone/ortools/sat/cp_model_table_test.cc
Corentin Le Molgat 00885d45bd sat: backport from main
2024-11-15 14:40:47 +01:00

277 lines
8.2 KiB
C++

// Copyright 2010-2024 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.
#include "ortools/sat/cp_model_table.h"
#include <cstdint>
#include <vector>
#include "absl/container/inlined_vector.h"
#include "absl/types/span.h"
#include "gtest/gtest.h"
#include "ortools/base/gmock.h"
#include "ortools/base/parse_test_proto.h"
#include "ortools/sat/cp_model.pb.h"
#include "ortools/sat/model.h"
#include "ortools/sat/presolve_context.h"
#include "ortools/sat/sat_parameters.pb.h"
namespace operations_research {
namespace sat {
namespace {
using ::google::protobuf::contrib::parse_proto::ParseTestProto;
TEST(TableTest, DuplicateVariablesInTable) {
CpModelProto model_proto = ParseTestProto(R"pb(
variables { domain: [ 0, 2 ] }
variables { domain: [ 0, 2 ] }
constraints {
table {
exprs { vars: 0 coeffs: 1 }
exprs { vars: 0 coeffs: -1 }
exprs { vars: 1 coeffs: 1 }
exprs { vars: 1 coeffs: 1 }
values: [ 0, 0, 0, 0 ]
values: [ 1, -1, 0, 0 ]
values: [ 1, 0, 0, 0 ]
values: [ 1, -1, 1, 1 ]
values: [ 2, -2, 2, 2 ]
}
}
)pb");
Model model;
PresolveContext context(&model, &model_proto, nullptr);
context.InitializeNewDomains();
CanonicalizeTable(&context, model_proto.mutable_constraints(0));
const CpModelProto expected_presolved_model = ParseTestProto(R"pb(
variables { domain: [ 0, 2 ] }
variables { domain: [ 0, 2 ] }
constraints {
table {
exprs { vars: 0 coeffs: 1 }
exprs { vars: 1 coeffs: 1 }
values: [ 0, 0 ]
values: [ 1, 0 ]
values: [ 1, 1 ]
values: [ 2, 2 ]
}
}
)pb");
EXPECT_THAT(expected_presolved_model, testing::EqualsProto(model_proto));
}
TEST(TableTest, CanonicalizeTableFixedColumns) {
CpModelProto model_proto = ParseTestProto(R"pb(
variables { domain: [ 0, 2 ] }
variables { domain: [ 1, 1 ] }
variables { domain: [ 0, 2 ] }
constraints {
table {
exprs { vars: 0 coeffs: 1 }
exprs { vars: 1 coeffs: 1 }
exprs { vars: 2 coeffs: 1 }
values: [ 0, 0, 0 ]
values: [ 0, 1, 0 ]
values: [ 1, 1, 1 ]
values: [ 1, 1, 2 ]
values: [ 2, 1, 2 ]
}
}
)pb");
Model model;
PresolveContext context(&model, &model_proto, nullptr);
context.InitializeNewDomains();
CanonicalizeTable(&context, model_proto.mutable_constraints(0));
const CpModelProto expected_presolved_model = ParseTestProto(R"pb(
variables { domain: [ 0, 2 ] }
variables { domain: [ 1, 1 ] }
variables { domain: [ 0, 2 ] }
constraints {
table {
exprs { vars: 0 coeffs: 1 }
exprs { vars: 2 coeffs: 1 }
values: [ 0, 0 ]
values: [ 1, 1 ]
values: [ 1, 2 ]
values: [ 2, 2 ]
}
}
)pb");
EXPECT_THAT(expected_presolved_model, testing::EqualsProto(model_proto));
}
TEST(TableTest, NormalizeNoRemove) {
CpModelProto model_proto = ParseTestProto(R"pb(
variables { domain: [ 0, 2 ] }
variables { domain: [ 1, 2 ] }
variables { domain: [ 0, 2 ] }
constraints {
table {
exprs { vars: 0 coeffs: 1 }
exprs { vars: 1 coeffs: 1 }
exprs { vars: 2 coeffs: 1 }
values: [ 0, 0, 0 ]
values: [ 0, 1, 0 ]
values: [ 1, 1, 1 ]
values: [ 1, 1, 2 ]
values: [ 2, 1, 2 ]
}
}
)pb");
Model model;
PresolveContext context(&model, &model_proto, nullptr);
context.InitializeNewDomains();
CanonicalizeTable(&context, model_proto.mutable_constraints(0));
const CpModelProto expected_presolved_model = ParseTestProto(R"pb(
variables { domain: [ 0, 2 ] }
variables { domain: [ 1, 2 ] }
variables { domain: [ 0, 2 ] }
constraints {
table {
exprs { vars: 0 coeffs: 1 }
exprs { vars: 1 coeffs: 1 }
exprs { vars: 2 coeffs: 1 }
values: [ 0, 1, 0 ]
values: [ 1, 1, 1 ]
values: [ 1, 1, 2 ]
values: [ 2, 1, 2 ]
}
}
)pb");
EXPECT_THAT(expected_presolved_model, testing::EqualsProto(model_proto));
}
TEST(CompressTuplesTest, OneAny) {
const std::vector<int64_t> domain_sizes = {2, 2, 2, 4};
std::vector<std::vector<int64_t>> tuples = {
{0, 0, 0, 0},
{1, 1, 0, 2},
{0, 0, 1, 3},
{0, 1, 1, 3},
};
CompressTuples(domain_sizes, &tuples);
const std::vector<std::vector<int64_t>>& expected_tuples = {
{0, 0, 0, 0},
{0, kTableAnyValue, 1, 3}, // Result is sorted.
{1, 1, 0, 2},
};
EXPECT_EQ(tuples, expected_tuples);
}
TEST(CompressTuplesTest, NotPerfect) {
const std::vector<int64_t> domain_sizes = {3, 3};
std::vector<std::vector<int64_t>> tuples = {
{0, 0}, {0, 1}, {0, 2}, {1, 2}, {2, 2},
};
CompressTuples(domain_sizes, &tuples);
// Here we could return instead:
// {0, kint64min}
// {kint64min, 2}
const std::vector<std::vector<int64_t>>& expected_tuples = {
{0, 0},
{0, 1},
{kTableAnyValue, 2},
};
EXPECT_EQ(tuples, expected_tuples);
}
TEST(FullyCompressTuplesTest, BasicTest) {
const std::vector<int64_t> domain_sizes = {4, 4};
std::vector<std::vector<int64_t>> tuples = {
{0, 1}, {0, 2}, {0, 3}, {1, 1}, {1, 2},
};
const auto result = FullyCompressTuples(domain_sizes, &tuples);
const std::vector<std::vector<absl::InlinedVector<int64_t, 2>>>& expected = {
{{1}, {1, 2}},
{{0}, {1, 2, 3}},
};
EXPECT_EQ(result, expected);
}
TEST(FullyCompressTuplesTest, BasicTest2) {
const std::vector<int64_t> domain_sizes = {4, 4, 4, 4};
std::vector<std::vector<int64_t>> tuples = {
{0, 0, 0, 0},
{1, 1, 0, 2},
{0, 0, 1, 3},
{0, 1, 1, 3},
};
const auto result = FullyCompressTuples(domain_sizes, &tuples);
const std::vector<std::vector<absl::InlinedVector<int64_t, 2>>>& expected = {
{{0}, {0}, {0}, {0}}, {{1}, {1}, {0}, {2}}, {{0}, {0, 1}, {1}, {3}}};
EXPECT_EQ(result, expected);
}
TEST(FullyCompressTuplesTest, BasicTest3) {
const std::vector<int64_t> domain_sizes = {4, 4, 4, 4};
std::vector<std::vector<int64_t>> tuples = {
{0, 0, 0, 0}, {0, 1, 0, 0}, {1, 0, 0, 0}, {1, 1, 0, 0},
{0, 0, 2, 0}, {0, 1, 2, 0}, {1, 0, 2, 0}, {1, 1, 2, 0},
};
const auto result = FullyCompressTuples(domain_sizes, &tuples);
const std::vector<std::vector<absl::InlinedVector<int64_t, 2>>>& expected = {
{{0, 1}, {0, 1}, {0, 2}, {0}}};
EXPECT_EQ(result, expected);
}
TEST(FullyCompressTuplesTest, BasicTestWithAnyValue) {
const std::vector<int64_t> domain_sizes = {4, 3};
std::vector<std::vector<int64_t>> tuples = {
{0, 1}, {0, 2}, {0, 3}, {1, 1}, {1, 2},
};
const auto result = FullyCompressTuples(domain_sizes, &tuples);
const std::vector<std::vector<absl::InlinedVector<int64_t, 2>>>& expected = {
{{0}, {}},
{{1}, {1, 2}},
};
EXPECT_EQ(result, expected);
}
TEST(FullyCompressTuplesTest, ConvertAnyValueRepresentation) {
const std::vector<int64_t> domain_sizes = {4, 3};
std::vector<std::vector<int64_t>> tuples = {{0, kTableAnyValue},
{kTableAnyValue, 2}};
const auto result = FullyCompressTuples(domain_sizes, &tuples);
const std::vector<std::vector<absl::InlinedVector<int64_t, 2>>>& expected = {
{{0}, {}},
{{}, {2}},
};
EXPECT_EQ(result, expected);
}
TEST(FullyCompressTuplesTest, ConvertAnyValueRepresentation2) {
const std::vector<int64_t> domain_sizes = {4, 3, 2, 3};
std::vector<std::vector<int64_t>> tuples = {
{0, kTableAnyValue, 3, kTableAnyValue}};
const auto result = FullyCompressTuples(domain_sizes, &tuples);
const std::vector<std::vector<absl::InlinedVector<int64_t, 2>>>& expected = {
{{0}, {}, {3}, {}},
};
EXPECT_EQ(result, expected);
}
} // namespace
} // namespace sat
} // namespace operations_research