/*=========================================================================
 *
 *  Copyright NumFOCUS
 *
 *  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
 *
 *         https://www.apache.org/licenses/LICENSE-2.0.txt
 *
 *  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.
 *
 *=========================================================================*/
#define ITK_TEMPLATE_EXPLICIT_ObjectToObjectOptimizerBaseTemplate
#include "itkObjectToObjectOptimizerBase.h"
#include "itkMultiThreaderBase.h"

namespace itk
{

ITK_GCC_PRAGMA_DIAG_PUSH()
ITK_GCC_PRAGMA_DIAG(ignored "-Wattributes")

template <typename TInternalComputationValueType>
ObjectToObjectOptimizerBaseTemplate<TInternalComputationValueType>::ObjectToObjectOptimizerBaseTemplate()
{
  this->m_Metric = nullptr;
  this->m_CurrentIteration = 0;
  this->m_NumberOfIterations = 100;
  this->m_CurrentMetricValue = 0;
  // Initialize, but w/out calling SetNumberOfWorkUnits, to avoid
  // valgrind warning.
  this->m_NumberOfWorkUnits = MultiThreaderBase::GetGlobalDefaultNumberOfThreads();
  this->m_ScalesAreIdentity = false;
  this->m_WeightsAreIdentity = true;
  this->m_DoEstimateScales = true;
}

template <typename TInternalComputationValueType>
ObjectToObjectOptimizerBaseTemplate<TInternalComputationValueType>::~ObjectToObjectOptimizerBaseTemplate() = default;

template <typename TInternalComputationValueType>
void
ObjectToObjectOptimizerBaseTemplate<TInternalComputationValueType>::PrintSelf(std::ostream & os, Indent indent) const
{
  Superclass::PrintSelf(os, indent);

  itkPrintSelfObjectMacro(Metric);

  os << indent
     << "NumberOfWorkUnits: " << static_cast<typename NumericTraits<ThreadIdType>::PrintType>(m_NumberOfWorkUnits)
     << std::endl;
  os << indent
     << "CurrentIteration: " << static_cast<typename NumericTraits<SizeValueType>::PrintType>(m_CurrentIteration)
     << std::endl;
  os << indent
     << "NumberOfIterations: " << static_cast<typename NumericTraits<SizeValueType>::PrintType>(m_NumberOfIterations)
     << std::endl;
  os << indent
     << "CurrentMetricValue: " << static_cast<typename NumericTraits<MeasureType>::PrintType>(m_CurrentMetricValue)
     << std::endl;
  os << indent << "Scales: " << static_cast<typename NumericTraits<ScalesType>::PrintType>(m_Scales) << std::endl;
  os << indent << "Weights: " << static_cast<typename NumericTraits<ScalesType>::PrintType>(m_Weights) << std::endl;

  os << indent << "ScalesAreIdentity: " << (m_ScalesAreIdentity ? "On" : "Off") << std::endl;

  itkPrintSelfObjectMacro(ScalesEstimator);

  os << indent << "WeightsAreIdentity: " << (m_WeightsAreIdentity ? "On" : "Off") << std::endl;
  os << indent << "DoEstimateScales: " << (m_DoEstimateScales ? "On" : "Off") << std::endl;
}

template <typename TInternalComputationValueType>
void
ObjectToObjectOptimizerBaseTemplate<TInternalComputationValueType>::SetNumberOfWorkUnits(ThreadIdType number)
{
  if (number < 1)
  {
    itkExceptionMacro("Number of work units must be > 0");
  }
  if (number != this->m_NumberOfWorkUnits)
  {
    this->m_NumberOfWorkUnits = number;
    this->Modified();
  }
}

template <typename TInternalComputationValueType>
void
ObjectToObjectOptimizerBaseTemplate<TInternalComputationValueType>::StartOptimization(
  bool itkNotUsed(doOnlyInitialization))
{
  /* Validate some settings */
  if (this->m_Metric.IsNull())
  {
    itkExceptionMacro("m_Metric must be set.");
  }

  /* Estimate the parameter scales if requested. */
  if (this->m_DoEstimateScales && this->m_ScalesEstimator.IsNotNull())
  {
    ScalesType scales;
    this->m_ScalesEstimator->EstimateScales(scales);
    this->SetScales(scales);
    itkDebugMacro("Estimated scales = " << this->m_Scales);
  }

  /* Verify m_Scales. If m_Scales hasn't been set, initialize to all 1's. */
  using SValueType = typename ScalesType::ValueType;
  if (this->GetScalesInitialized())
  {
    if (this->m_Scales.Size() != this->m_Metric->GetNumberOfLocalParameters())
    {
      itkExceptionMacro("Size of scales (" << this->m_Scales.Size() << ") must equal number of local parameters ("
                                           << this->m_Metric->GetNumberOfLocalParameters() << ").");
    }
    /* Check that all values in m_Scales are > machine epsilon, to avoid
     * division by zero/epsilon.
     * Also check if scales are identity. */
    using SizeType = typename ScalesType::size_type;
    this->m_ScalesAreIdentity = true;
    for (SizeType i = 0; i < this->m_Scales.Size(); ++i)
    {
      if (this->m_Scales[i] <= NumericTraits<SValueType>::epsilon())
      {
        itkExceptionMacro("m_Scales values must be > epsilon." << this->m_Scales);
      }
      /* Check if the scales are identity. Consider to be identity if
       * within a tolerance, to allow for automatically estimated scales
       * that may not be exactly 1.0 when in priciniple they should be. */
      SValueType difference = itk::Math::abs(NumericTraits<SValueType>::OneValue() - this->m_Scales[i]);
      auto       tolerance = static_cast<SValueType>(0.01);
      if (difference > tolerance)
      {
        this->m_ScalesAreIdentity = false;
        break;
      }
    }
  }
  else
  {
    // Initialize scales to identity
    m_Scales.SetSize(this->m_Metric->GetNumberOfLocalParameters());
    m_Scales.Fill(NumericTraits<SValueType>::OneValue());
    this->m_ScalesAreIdentity = true;
  }

  /* Verify m_Weights. */
  using SValueType = typename ScalesType::ValueType;
  if (this->m_Weights.Size() > 0)
  {
    if (this->m_Weights.Size() != this->m_Metric->GetNumberOfLocalParameters())
    {
      itkExceptionMacro("Size of weights (" << this->m_Weights.Size() << ") must equal number of local parameters ("
                                            << this->m_Metric->GetNumberOfLocalParameters() << ").");
    }
    /* Check if they are identity within tolerance. */
    using SizeType = typename ScalesType::size_type;
    this->m_WeightsAreIdentity = true;
    for (SizeType i = 0; i < this->m_Weights.Size(); ++i)
    {
      SValueType difference = itk::Math::abs(NumericTraits<SValueType>::OneValue() - this->m_Weights[i]);
      auto       tolerance = static_cast<SValueType>(1e-4);
      if (difference > tolerance)
      {
        this->m_WeightsAreIdentity = false;
        break;
      }
    }
  }
  else
  {
    // Set weights to identity. But leave the array empty.
    this->m_WeightsAreIdentity = true;
  }
}

template <typename TInternalComputationValueType>
const typename ObjectToObjectOptimizerBaseTemplate<TInternalComputationValueType>::ParametersType &
ObjectToObjectOptimizerBaseTemplate<TInternalComputationValueType>::GetCurrentPosition() const
{
  if (this->m_Metric.IsNull())
  {
    itkExceptionMacro("m_Metric has not been assigned. Cannot get parameters.");
  }
  return this->m_Metric->GetParameters();
}

template <typename TInternalComputationValueType>
const typename ObjectToObjectOptimizerBaseTemplate<TInternalComputationValueType>::MeasureType &
ObjectToObjectOptimizerBaseTemplate<TInternalComputationValueType>::GetValue() const
{
  return this->GetCurrentMetricValue();
}

template <typename TInternalComputationValueType>
bool
ObjectToObjectOptimizerBaseTemplate<TInternalComputationValueType>::GetScalesInitialized() const
{
  return m_Scales.Size() > 0;
}

template class ITKOptimizersv4_EXPORT ObjectToObjectOptimizerBaseTemplate<double>;
template class ITKOptimizersv4_EXPORT ObjectToObjectOptimizerBaseTemplate<float>;

ITK_GCC_PRAGMA_DIAG_POP()


/** Print enum values */
std::ostream &
operator<<(std::ostream &                                                                       out,
           const ObjectToObjectOptimizerBaseTemplateEnums::StopConditionObjectToObjectOptimizer value)
{
  return out << [value] {
    switch (value)
    {
      case ObjectToObjectOptimizerBaseTemplateEnums::StopConditionObjectToObjectOptimizer::MAXIMUM_NUMBER_OF_ITERATIONS:
        return "itk::ObjectToObjectOptimizerBaseTemplateEnums::StopConditionObjectToObjectOptimizer::MAXIMUM_NUMBER_OF_"
               "ITERATIONS";
      case ObjectToObjectOptimizerBaseTemplateEnums::StopConditionObjectToObjectOptimizer::COSTFUNCTION_ERROR:
        return "itk::ObjectToObjectOptimizerBaseTemplateEnums::StopConditionObjectToObjectOptimizer::COSTFUNCTION_"
               "ERROR";
      case ObjectToObjectOptimizerBaseTemplateEnums::StopConditionObjectToObjectOptimizer::UPDATE_PARAMETERS_ERROR:
        return "itk::ObjectToObjectOptimizerBaseTemplateEnums::StopConditionObjectToObjectOptimizer::UPDATE_PARAMETERS_"
               "ERROR";
      case ObjectToObjectOptimizerBaseTemplateEnums::StopConditionObjectToObjectOptimizer::STEP_TOO_SMALL:
        return "itk::ObjectToObjectOptimizerBaseTemplateEnums::StopConditionObjectToObjectOptimizer::STEP_TOO_SMALL";
      case ObjectToObjectOptimizerBaseTemplateEnums::StopConditionObjectToObjectOptimizer::CONVERGENCE_CHECKER_PASSED:
        return "itk::ObjectToObjectOptimizerBaseTemplateEnums::StopConditionObjectToObjectOptimizer::CONVERGENCE_"
               "CHECKER_PASSED";
      case ObjectToObjectOptimizerBaseTemplateEnums::StopConditionObjectToObjectOptimizer::
        GRADIENT_MAGNITUDE_TOLEARANCE:
        return "itk::ObjectToObjectOptimizerBaseTemplateEnums::StopConditionObjectToObjectOptimizer::GRADIENT_"
               "MAGNITUDE_TOLEARANCE";
      case ObjectToObjectOptimizerBaseTemplateEnums::StopConditionObjectToObjectOptimizer::OTHER_ERROR:
        return "itk::ObjectToObjectOptimizerBaseTemplateEnums::StopConditionObjectToObjectOptimizer::OTHER_ERROR";
      default:
        return "INVALID VALUE FOR itk::ObjectToObjectOptimizerBaseTemplateEnums::StopConditionObjectToObjectOptimizer";
    }
  }();
}

} // end namespace itk