// Ceres Solver - A fast non-linear least squares minimizer
// Copyright 2023 Google Inc. All rights reserved.
// http://ceres-solver.org/
//
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// modification, are permitted provided that the following conditions are met:
//
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//   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
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//
// 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
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// Author: sameragarwal@google.com (Sameer Agarwal)

#include "ceres/preprocessor.h"

#include <memory>

#include "ceres/callbacks.h"
#include "ceres/gradient_checking_cost_function.h"
#include "ceres/line_search_preprocessor.h"
#include "ceres/problem_impl.h"
#include "ceres/solver.h"
#include "ceres/thread_pool.h"
#include "ceres/trust_region_preprocessor.h"

namespace ceres::internal {

std::unique_ptr<Preprocessor> Preprocessor::Create(
    MinimizerType minimizer_type) {
  if (minimizer_type == TRUST_REGION) {
    return std::make_unique<TrustRegionPreprocessor>();
  }

  if (minimizer_type == LINE_SEARCH) {
    return std::make_unique<LineSearchPreprocessor>();
  }

  LOG(FATAL) << "Unknown minimizer_type: " << minimizer_type;
  return nullptr;
}

Preprocessor::~Preprocessor() = default;

void ChangeNumThreadsIfNeeded(Solver::Options* options) {
  if (options->num_threads == 1) {
    return;
  }
  const int num_threads_available = ThreadPool::MaxNumThreadsAvailable();
  if (options->num_threads > num_threads_available) {
    LOG(WARNING) << "Specified options.num_threads: " << options->num_threads
                 << " exceeds maximum available from the threading model Ceres "
                 << "was compiled with: " << num_threads_available
                 << ".  Bounding to maximum number available.";
    options->num_threads = num_threads_available;
  }
}

void SetupCommonMinimizerOptions(PreprocessedProblem* pp) {
  const Solver::Options& options = pp->options;
  Program* program = pp->reduced_program.get();

  // Assuming that the parameter blocks in the program have been
  // reordered as needed, extract them into a contiguous vector.
  pp->reduced_parameters.resize(program->NumParameters());
  double* reduced_parameters = pp->reduced_parameters.data();
  program->ParameterBlocksToStateVector(reduced_parameters);

  auto context = pp->problem->context();
  Minimizer::Options& minimizer_options = pp->minimizer_options;
  minimizer_options = Minimizer::Options(options);
  minimizer_options.evaluator = pp->evaluator;
  minimizer_options.context = context;

  if (options.logging_type != SILENT) {
    pp->logging_callback = std::make_unique<LoggingCallback>(
        options.minimizer_type, options.minimizer_progress_to_stdout);
    minimizer_options.callbacks.insert(minimizer_options.callbacks.begin(),
                                       pp->logging_callback.get());
  }

  if (options.update_state_every_iteration) {
    pp->state_updating_callback =
        std::make_unique<StateUpdatingCallback>(program, reduced_parameters);
    // This must get pushed to the front of the callbacks so that it
    // is run before any of the user callbacks.
    minimizer_options.callbacks.insert(minimizer_options.callbacks.begin(),
                                       pp->state_updating_callback.get());
  }
}

}  // namespace ceres::internal