101 lines
3.9 KiB
C++
101 lines
3.9 KiB
C++
// Copyright 2010-2021 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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#include "ortools/math_opt/cpp/model_solve_parameters.h"
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#include <stdint.h>
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#include <initializer_list>
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#include <optional>
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#include <utility>
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#include "google/protobuf/message.h"
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#include "ortools/math_opt/core/indexed_model.h"
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#include "ortools/math_opt/cpp/key_types.h"
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#include "ortools/math_opt/cpp/linear_constraint.h"
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#include "ortools/math_opt/cpp/result.h"
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#include "ortools/math_opt/cpp/variable_and_expressions.h"
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#include "ortools/math_opt/model_parameters.pb.h"
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#include "ortools/math_opt/solution.pb.h"
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#include "ortools/math_opt/sparse_containers.pb.h"
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namespace operations_research {
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namespace math_opt {
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using ::google::protobuf::RepeatedField;
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ModelSolveParameters ModelSolveParameters::OnlyPrimalVariables() {
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ModelSolveParameters parameters;
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parameters.dual_linear_constraints_filter =
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MakeSkipAllFilter<LinearConstraint>();
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parameters.dual_variables_filter = MakeSkipAllFilter<Variable>();
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return parameters;
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}
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ModelSolveParameters ModelSolveParameters::OnlySomePrimalVariables(
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std::initializer_list<Variable> variables) {
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return OnlySomePrimalVariables<std::initializer_list<Variable>>(variables);
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}
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IndexedModel* ModelSolveParameters::model() const {
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return internal::ConsistentModel({primal_variables_filter.model(),
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dual_linear_constraints_filter.model(),
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dual_variables_filter.model()});
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}
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ModelSolveParametersProto ModelSolveParameters::Proto() const {
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// We call model() here for its side effect of asserting that all filters use
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// variables and linear constraints use the same model.
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model();
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ModelSolveParametersProto ret;
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*ret.mutable_primal_variables_filter() = primal_variables_filter.Proto();
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*ret.mutable_dual_linear_constraints_filter() =
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dual_linear_constraints_filter.Proto();
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*ret.mutable_dual_variables_filter() = dual_variables_filter.Proto();
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// TODO(user): consolidate code. Probably best to add an export_to_proto
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// to IdMap
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if (initial_basis) {
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RepeatedField<int64_t>* const constraint_status_ids =
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ret.mutable_initial_basis()->mutable_constraint_status()->mutable_ids();
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RepeatedField<int>* const constraint_status_values =
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ret.mutable_initial_basis()
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->mutable_constraint_status()
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->mutable_values();
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constraint_status_ids->Reserve(initial_basis->constraint_status.size());
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constraint_status_values->Reserve(initial_basis->constraint_status.size());
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for (const LinearConstraint& key :
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initial_basis->constraint_status.SortedKeys()) {
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constraint_status_ids->Add(key.id());
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constraint_status_values->Add(initial_basis->constraint_status.at(key));
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}
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RepeatedField<int64_t>* const variable_status_ids =
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ret.mutable_initial_basis()->mutable_variable_status()->mutable_ids();
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RepeatedField<int>* const variable_status_values =
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ret.mutable_initial_basis()
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->mutable_variable_status()
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->mutable_values();
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variable_status_ids->Reserve(initial_basis->variable_status.size());
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variable_status_values->Reserve(initial_basis->variable_status.size());
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for (const Variable& key : initial_basis->variable_status.SortedKeys()) {
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variable_status_ids->Add(key.id());
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variable_status_values->Add(initial_basis->variable_status.at(key));
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}
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}
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return ret;
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}
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} // namespace math_opt
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} // namespace operations_research
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