/*=========================================================================
 *
 *  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.
 *
 *=========================================================================*/
#ifndef itkTransformParametersAdaptorBase_h
#define itkTransformParametersAdaptorBase_h

#include "itkObject.h"
#include "itkObjectFactory.h"

namespace itk
{
/** \class TransformParametersAdaptorBase
 * \brief Base helper class intended for multi-resolution image registration.
 *
 * During multi-resolution image registration, it is often useful to expand
 * the number of parameters describing the transform when going from one level
 * to the next.  For example, in B-spline registration, one often wants to
 * increase the mesh size (or, equivalently, the control point grid size) for
 * increased flexibility in optimizing the transform.  This requires the
 * propagation of the current transform solution to the next level where the
 * solution is identical but with an increase in the number of parameters.
 * This base class and those derived classes are meant to handle these types of
 * situations.
 *
 * Basic usage will involve the user specifying the required fixed parameters, i.e.
 *
     \code
     transformAdaptor->SetTransform( transform );
     transformAdaptor->SetRequiredFixedParameters( fixedParameters );
     transformAdaptor->AdaptTransformParameters();
     \endcode
 *
 * which will adjust the transform based on the new fixed parameters.
 *
 * \author Nick Tustison
 * \author Marius Staring
 *
 * \ingroup ITKRegistrationCommon
 */
template <typename TTransform>
class TransformParametersAdaptorBase : public Object
{
public:
  ITK_DISALLOW_COPY_AND_MOVE(TransformParametersAdaptorBase);

  /** Standard class type aliases. */
  using Self = TransformParametersAdaptorBase;
  using Superclass = Object;
  using Pointer = SmartPointer<Self>;
  using ConstPointer = SmartPointer<const Self>;

  /** \see LightObject::GetNameOfClass() */
  itkOverrideGetNameOfClassMacro(TransformParametersAdaptorBase);

  /** Typedefs associated with the transform */
  using TransformBaseType = TTransform;
  using TransformBasePointer = typename TransformBaseType::Pointer;
  using ParametersType = typename TransformBaseType::ParametersType;
  using ParametersValueType = typename ParametersType::ValueType;
  using FixedParametersType = typename TransformBaseType::FixedParametersType;
  using FixedParametersValueType = typename TransformBaseType::FixedParametersValueType;

  // note: the void pointer is use to ensure this method has lower
  // overloaded priority and avoid an ambiguous overloaded method
  virtual void
  SetTransform(TransformBaseType * _arg, void * priorityLower = nullptr) = 0;

  /** Set the fixed parameters */
  itkSetMacro(RequiredFixedParameters, FixedParametersType);

  /** Get the fixed parameters */
  itkGetConstReferenceMacro(RequiredFixedParameters, FixedParametersType);

  /** Initialize the transform using the specified fixed parameters */
  virtual void
  AdaptTransformParameters() = 0;

protected:
  TransformParametersAdaptorBase() = default;
  ~TransformParametersAdaptorBase() override = default;

  void
  PrintSelf(std::ostream & os, Indent indent) const override
  {
    Superclass::PrintSelf(os, indent);
    os << "Fixed parameters" << this->m_RequiredFixedParameters << std::endl;
  }

  FixedParametersType m_RequiredFixedParameters{};
}; // class TransformParametersAdaptorBase
} // namespace itk

#endif /* itkTransformParametersAdaptorBase_h */