// Ceres Solver - A fast non-linear least squares minimizer
// Copyright 2023 Google Inc. All rights reserved.
// http://ceres-solver.org/
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are met:
//
// * Redistributions of source code must retain the above copyright notice,
//   this list of conditions and the following disclaimer.
// * Redistributions in binary form must reproduce the above copyright notice,
//   this list of conditions and the following disclaimer in the documentation
//   and/or other materials provided with the distribution.
// * Neither the name of Google Inc. nor the names of its contributors may be
//   used to endorse or promote products derived from this software without
//   specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
// AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
// IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
// ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
// LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
// CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
// SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
// INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
// CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
// ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
// POSSIBILITY OF SUCH DAMAGE.
//
// Author: sameeragarwal@google.com (Sameer Agarwal)
//
// Template specialization of PartitionedMatrixView.
//
// ========================================
// THIS FILE IS AUTOGENERATED. DO NOT EDIT.
// THIS FILE IS AUTOGENERATED. DO NOT EDIT.
// THIS FILE IS AUTOGENERATED. DO NOT EDIT.
// THIS FILE IS AUTOGENERATED. DO NOT EDIT.
//=========================================
//
// This file is generated using generate_template_specializations.py.

#include <memory>

#include "ceres/linear_solver.h"
#include "ceres/partitioned_matrix_view.h"

namespace ceres::internal {

PartitionedMatrixViewBase::~PartitionedMatrixViewBase() = default;

std::unique_ptr<PartitionedMatrixViewBase> PartitionedMatrixViewBase::Create(
    const LinearSolver::Options& options, const BlockSparseMatrix& matrix) {
#ifndef CERES_RESTRICT_SCHUR_SPECIALIZATION
  if ((options.row_block_size == 2) &&
     (options.e_block_size == 2) &&
     (options.f_block_size == 2)) {
    return std::make_unique<PartitionedMatrixView<2,2, 2>>(
                   options, matrix);
  }
  if ((options.row_block_size == 2) &&
     (options.e_block_size == 2) &&
     (options.f_block_size == 3)) {
    return std::make_unique<PartitionedMatrixView<2,2, 3>>(
                   options, matrix);
  }
  if ((options.row_block_size == 2) &&
     (options.e_block_size == 2) &&
     (options.f_block_size == 4)) {
    return std::make_unique<PartitionedMatrixView<2,2, 4>>(
                   options, matrix);
  }
  if ((options.row_block_size == 2) &&
     (options.e_block_size == 2)) {
    return std::make_unique<PartitionedMatrixView<2,2, Eigen::Dynamic>>(
                   options, matrix);
  }
  if ((options.row_block_size == 2) &&
     (options.e_block_size == 3) &&
     (options.f_block_size == 3)) {
    return std::make_unique<PartitionedMatrixView<2,3, 3>>(
                   options, matrix);
  }
  if ((options.row_block_size == 2) &&
     (options.e_block_size == 3) &&
     (options.f_block_size == 4)) {
    return std::make_unique<PartitionedMatrixView<2,3, 4>>(
                   options, matrix);
  }
  if ((options.row_block_size == 2) &&
     (options.e_block_size == 3) &&
     (options.f_block_size == 6)) {
    return std::make_unique<PartitionedMatrixView<2,3, 6>>(
                   options, matrix);
  }
  if ((options.row_block_size == 2) &&
     (options.e_block_size == 3) &&
     (options.f_block_size == 9)) {
    return std::make_unique<PartitionedMatrixView<2,3, 9>>(
                   options, matrix);
  }
  if ((options.row_block_size == 2) &&
     (options.e_block_size == 3)) {
    return std::make_unique<PartitionedMatrixView<2,3, Eigen::Dynamic>>(
                   options, matrix);
  }
  if ((options.row_block_size == 2) &&
     (options.e_block_size == 4) &&
     (options.f_block_size == 3)) {
    return std::make_unique<PartitionedMatrixView<2,4, 3>>(
                   options, matrix);
  }
  if ((options.row_block_size == 2) &&
     (options.e_block_size == 4) &&
     (options.f_block_size == 4)) {
    return std::make_unique<PartitionedMatrixView<2,4, 4>>(
                   options, matrix);
  }
  if ((options.row_block_size == 2) &&
     (options.e_block_size == 4) &&
     (options.f_block_size == 6)) {
    return std::make_unique<PartitionedMatrixView<2,4, 6>>(
                   options, matrix);
  }
  if ((options.row_block_size == 2) &&
     (options.e_block_size == 4) &&
     (options.f_block_size == 8)) {
    return std::make_unique<PartitionedMatrixView<2,4, 8>>(
                   options, matrix);
  }
  if ((options.row_block_size == 2) &&
     (options.e_block_size == 4) &&
     (options.f_block_size == 9)) {
    return std::make_unique<PartitionedMatrixView<2,4, 9>>(
                   options, matrix);
  }
  if ((options.row_block_size == 2) &&
     (options.e_block_size == 4)) {
    return std::make_unique<PartitionedMatrixView<2,4, Eigen::Dynamic>>(
                   options, matrix);
  }
  if (options.row_block_size == 2) {
    return std::make_unique<PartitionedMatrixView<2,Eigen::Dynamic, Eigen::Dynamic>>(
                   options, matrix);
  }
  if ((options.row_block_size == 3) &&
     (options.e_block_size == 3) &&
     (options.f_block_size == 3)) {
    return std::make_unique<PartitionedMatrixView<3,3, 3>>(
                   options, matrix);
  }
  if ((options.row_block_size == 4) &&
     (options.e_block_size == 4) &&
     (options.f_block_size == 2)) {
    return std::make_unique<PartitionedMatrixView<4,4, 2>>(
                   options, matrix);
  }
  if ((options.row_block_size == 4) &&
     (options.e_block_size == 4) &&
     (options.f_block_size == 3)) {
    return std::make_unique<PartitionedMatrixView<4,4, 3>>(
                   options, matrix);
  }
  if ((options.row_block_size == 4) &&
     (options.e_block_size == 4) &&
     (options.f_block_size == 4)) {
    return std::make_unique<PartitionedMatrixView<4,4, 4>>(
                   options, matrix);
  }
  if ((options.row_block_size == 4) &&
     (options.e_block_size == 4)) {
    return std::make_unique<PartitionedMatrixView<4,4, Eigen::Dynamic>>(
                   options, matrix);
  }

#endif
  VLOG(1) << "Template specializations not found for <"
          << options.row_block_size << "," << options.e_block_size << ","
          << options.f_block_size << ">";
  return std::make_unique<PartitionedMatrixView<Eigen::Dynamic,
                                                Eigen::Dynamic,
                                                Eigen::Dynamic>>(
      options, matrix);
};

}  // namespace ceres::internal