326 lines
11 KiB
C++
326 lines
11 KiB
C++
// Copyright 2010-2024 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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#if defined(USE_PDLP)
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#include <atomic>
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#include <cstdint>
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#include <optional>
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#include <string>
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#include <utility>
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#include <vector>
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#include "absl/base/attributes.h"
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#include "absl/status/status.h"
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#include "absl/status/statusor.h"
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#include "absl/strings/str_cat.h"
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#include "absl/types/optional.h"
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#include "google/protobuf/text_format.h"
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#include "ortools/base/logging.h"
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#include "ortools/linear_solver/linear_solver.h"
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#include "ortools/linear_solver/linear_solver.pb.h"
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#include "ortools/linear_solver/proto_solver/pdlp_proto_solver.h"
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#include "ortools/pdlp/solve_log.pb.h"
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#include "ortools/pdlp/solvers.pb.h"
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#include "ortools/port/proto_utils.h"
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namespace operations_research {
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class PdlpInterface : public MPSolverInterface {
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public:
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explicit PdlpInterface(MPSolver* solver);
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~PdlpInterface() override;
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// ----- Solve -----
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MPSolver::ResultStatus Solve(const MPSolverParameters& param) override;
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std::optional<MPSolutionResponse> DirectlySolveProto(
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const MPModelRequest& request, std::atomic<bool>* interrupt) override;
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// ----- Model modifications and extraction -----
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void Reset() override;
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void SetOptimizationDirection(bool maximize) override;
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void SetVariableBounds(int index, double lb, double ub) override;
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void SetVariableInteger(int index, bool integer) override;
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void SetConstraintBounds(int index, double lb, double ub) override;
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void AddRowConstraint(MPConstraint* ct) override;
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void AddVariable(MPVariable* var) override;
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void SetCoefficient(MPConstraint* constraint, const MPVariable* variable,
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double new_value, double old_value) override;
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void ClearConstraint(MPConstraint* constraint) override;
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void SetObjectiveCoefficient(const MPVariable* variable,
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double coefficient) override;
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void SetObjectiveOffset(double value) override;
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void ClearObjective() override;
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// ------ Query statistics on the solution and the solve ------
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int64_t iterations() const override;
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int64_t nodes() const override;
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MPSolver::BasisStatus row_status(int constraint_index) const override;
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MPSolver::BasisStatus column_status(int variable_index) const override;
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// ----- Misc -----
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bool IsContinuous() const override;
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bool IsLP() const override;
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bool IsMIP() const override;
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std::string SolverVersion() const override;
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void* underlying_solver() override;
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bool InterruptSolve() override;
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void ExtractNewVariables() override;
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void ExtractNewConstraints() override;
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void ExtractObjective() override;
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void SetParameters(const MPSolverParameters& param) override;
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void SetRelativeMipGap(double value) override;
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void SetPrimalTolerance(double value) override;
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void SetDualTolerance(double value) override;
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void SetPresolveMode(int value) override;
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void SetScalingMode(int value) override;
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void SetLpAlgorithm(int value) override;
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bool SetSolverSpecificParametersAsString(
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const std::string& parameters) override;
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absl::Status SetNumThreads(int num_threads) override;
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private:
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void NonIncrementalChange();
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pdlp::PrimalDualHybridGradientParams parameters_;
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pdlp::SolveLog solve_log_;
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std::atomic<bool> interrupt_solver_;
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};
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PdlpInterface::PdlpInterface(MPSolver* const solver)
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: MPSolverInterface(solver), interrupt_solver_(false) {}
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PdlpInterface::~PdlpInterface() {}
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MPSolver::ResultStatus PdlpInterface::Solve(const MPSolverParameters& param) {
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// Reset extraction as this interface is not incremental yet.
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Reset();
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interrupt_solver_ = false;
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ExtractModel();
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SetParameters(param);
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if (quiet_) {
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parameters_.set_verbosity_level(0);
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} else {
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parameters_.set_verbosity_level(3);
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}
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solver_->SetSolverSpecificParametersAsString(
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solver_->solver_specific_parameter_string_);
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// Time limit.
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if (solver_->time_limit()) {
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VLOG(1) << "Setting time limit = " << solver_->time_limit() << " ms.";
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parameters_.mutable_termination_criteria()->set_time_sec_limit(
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static_cast<double>(solver_->time_limit()) / 1000.0);
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}
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// Mark variables and constraints as extracted.
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for (int i = 0; i < solver_->variables_.size(); ++i) {
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set_variable_as_extracted(i, true);
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}
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for (int i = 0; i < solver_->constraints_.size(); ++i) {
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set_constraint_as_extracted(i, true);
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}
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MPModelProto model_proto;
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solver_->ExportModelToProto(&model_proto);
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MPModelRequest request;
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*request.mutable_model() = std::move(model_proto);
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if (!google::protobuf::TextFormat::PrintToString(
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parameters_, request.mutable_solver_specific_parameters())) {
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LOG(QFATAL) << "Error converting parameters to text format: "
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<< parameters_.DebugString();
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}
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absl::StatusOr<MPSolutionResponse> response = PdlpSolveProto(
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request, /*relax_integer_variables=*/true, &interrupt_solver_);
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if (!response.ok()) {
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LOG(ERROR) << "Unexpected error solving with PDLP: " << response.status();
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return MPSolver::ABNORMAL;
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}
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// The solution must be marked as synchronized even when no solution exists.
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sync_status_ = SOLUTION_SYNCHRONIZED;
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if (response->status() == MPSOLVER_CANCELLED_BY_USER) {
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// MPSOLVER_CANCELLED_BY_USER is only for when the solver didn't have time
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// to return a proper status, and is not convertible to an MPSolver status.
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result_status_ = MPSolver::NOT_SOLVED;
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} else {
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result_status_ = static_cast<MPSolver::ResultStatus>(response->status());
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}
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if (response->has_solver_specific_info()) {
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if (!solve_log_.ParseFromString(response->solver_specific_info())) {
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LOG(DFATAL)
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<< "Unable to parse PDLP's SolveLog from solver_specific_info";
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}
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}
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if (response->status() == MPSOLVER_FEASIBLE ||
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response->status() == MPSOLVER_OPTIMAL) {
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const absl::Status result = solver_->LoadSolutionFromProto(*response);
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if (!result.ok()) {
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LOG(ERROR) << "LoadSolutionFromProto failed: " << result;
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}
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}
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return result_status_;
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}
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std::optional<MPSolutionResponse> PdlpInterface::DirectlySolveProto(
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const MPModelRequest& request, std::atomic<bool>* interrupt) {
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absl::StatusOr<MPSolutionResponse> response =
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PdlpSolveProto(request, /*relax_integer_variables=*/true, interrupt);
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if (!response.ok()) {
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LOG(ERROR) << "Unexpected error solving with PDLP: " << response.status();
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MPSolutionResponse error_response;
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error_response.set_status(MPSolverResponseStatus::MPSOLVER_ABNORMAL);
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error_response.set_status_str(response.status().ToString());
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return error_response;
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}
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return *response;
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}
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void PdlpInterface::Reset() { ResetExtractionInformation(); }
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void PdlpInterface::SetOptimizationDirection(bool maximize) {
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NonIncrementalChange();
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}
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void PdlpInterface::SetVariableBounds(int index, double lb, double ub) {
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NonIncrementalChange();
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}
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void PdlpInterface::SetVariableInteger(int index, bool integer) {
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NonIncrementalChange();
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}
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void PdlpInterface::SetConstraintBounds(int index, double lb, double ub) {
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NonIncrementalChange();
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}
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void PdlpInterface::AddRowConstraint(MPConstraint* const ct) {
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NonIncrementalChange();
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}
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void PdlpInterface::AddVariable(MPVariable* const var) {
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NonIncrementalChange();
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}
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void PdlpInterface::SetCoefficient(MPConstraint* const constraint,
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const MPVariable* const variable,
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double new_value, double old_value) {
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NonIncrementalChange();
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}
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void PdlpInterface::ClearConstraint(MPConstraint* const constraint) {
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NonIncrementalChange();
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}
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void PdlpInterface::SetObjectiveCoefficient(const MPVariable* const variable,
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double coefficient) {
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NonIncrementalChange();
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}
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void PdlpInterface::SetObjectiveOffset(double value) { NonIncrementalChange(); }
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void PdlpInterface::ClearObjective() { NonIncrementalChange(); }
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int64_t PdlpInterface::iterations() const {
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return solve_log_.iteration_count();
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}
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int64_t PdlpInterface::nodes() const {
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LOG(DFATAL) << "Number of nodes only available for discrete problems";
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return MPSolverInterface::kUnknownNumberOfNodes;
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}
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MPSolver::BasisStatus PdlpInterface::row_status(int constraint_index) const {
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// TODO(user): While basis status isn't well defined for PDLP, we could
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// guess statuses that might be useful.
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return MPSolver::BasisStatus::FREE;
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}
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MPSolver::BasisStatus PdlpInterface::column_status(int variable_index) const {
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// TODO(user): While basis status isn't well defined for PDLP, we could
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// guess statuses that might be useful.
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return MPSolver::BasisStatus::FREE;
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}
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bool PdlpInterface::IsContinuous() const { return true; }
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bool PdlpInterface::IsLP() const { return true; }
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bool PdlpInterface::IsMIP() const { return false; }
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std::string PdlpInterface::SolverVersion() const { return "PDLP Solver"; }
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// TODO(user): Consider returning the SolveLog here, as it could be essential
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// for interpreting the PDLP solution.
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void* PdlpInterface::underlying_solver() { return nullptr; }
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bool PdlpInterface::InterruptSolve() {
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interrupt_solver_ = true;
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return true;
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}
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void PdlpInterface::ExtractNewVariables() { NonIncrementalChange(); }
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void PdlpInterface::ExtractNewConstraints() { NonIncrementalChange(); }
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void PdlpInterface::ExtractObjective() { NonIncrementalChange(); }
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void PdlpInterface::SetParameters(const MPSolverParameters& param) {
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SetCommonParameters(param);
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}
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absl::Status PdlpInterface::SetNumThreads(int num_threads) {
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if (num_threads < 1) {
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return absl::InvalidArgumentError(
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absl::StrCat("Invalid number of threads: ", num_threads));
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}
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parameters_.set_num_threads(num_threads);
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return absl::OkStatus();
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}
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// These have no effect. Use SetSolverSpecificParametersAsString instead.
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void PdlpInterface::SetPrimalTolerance(double value) {}
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void PdlpInterface::SetDualTolerance(double value) {}
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void PdlpInterface::SetScalingMode(int value) {}
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void PdlpInterface::SetLpAlgorithm(int value) {}
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void PdlpInterface::SetRelativeMipGap(double value) {}
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void PdlpInterface::SetPresolveMode(int value) {}
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bool PdlpInterface::SetSolverSpecificParametersAsString(
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const std::string& parameters) {
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return ProtobufTextFormatMergeFromString(parameters, ¶meters_);
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}
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void PdlpInterface::NonIncrementalChange() {
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// The current implementation is not incremental.
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sync_status_ = MUST_RELOAD;
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}
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// Register PDLP in the global linear solver factory.
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MPSolverInterface* BuildPdlpInterface(MPSolver* const solver) {
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return new PdlpInterface(solver);
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}
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} // namespace operations_research
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#endif // #if defined(USE_PDLP)
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