/*=========================================================================

  Program:   Visualization Toolkit
  Module:    vtkImageRFFT.cxx
  Language:  C++
  Date:      $Date$
  Version:   $Revision$

  Copyright (c) 1993-2002 Ken Martin, Will Schroeder, Bill Lorensen 
  All rights reserved.
  See Copyright.txt or http://www.kitware.com/Copyright.htm for details.

     This software is distributed WITHOUT ANY WARRANTY; without even 
     the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR 
     PURPOSE.  See the above copyright notice for more information.

=========================================================================*/
#include "vtkImageRFFT.h"

#include "vtkImageData.h"
#include "vtkObjectFactory.h"

#include <math.h>

vtkCxxRevisionMacro(vtkImageRFFT, "1.29");
vtkStandardNewMacro(vtkImageRFFT);

//----------------------------------------------------------------------------
// This extent of the components changes to real and imaginary values.
void vtkImageRFFT::ExecuteInformation(vtkImageData *vtkNotUsed(inData), 
                                      vtkImageData *outData)
{
  outData->SetNumberOfScalarComponents(2);
  outData->SetScalarType(VTK_FLOAT);
}

//----------------------------------------------------------------------------
// This method tells the superclass that the whole input array is needed
// to compute any output region.
void vtkImageRFFT::ComputeInputUpdateExtent(int inExt[6], 
                                            int outExt[6])
{
  int *extent;
  
  // Assumes that the input update extent has been initialized to output ...
  extent = this->GetInput()->GetWholeExtent();
  memcpy(inExt, outExt, 6 * sizeof(int));
  inExt[this->Iteration*2] = extent[this->Iteration*2];
  inExt[this->Iteration*2 + 1] = extent[this->Iteration*2 + 1];
}

//----------------------------------------------------------------------------
// This templated execute method handles any type input, but the output
// is always floats.
template <class T>
void vtkImageRFFTExecute(vtkImageRFFT *self,
                         vtkImageData *inData, int inExt[6], T *inPtr,
                         vtkImageData *outData, int outExt[6], float *outPtr,
                         int id)
{
  vtkImageComplex *inComplex;
  vtkImageComplex *outComplex;
  vtkImageComplex *pComplex;
  //
  int inMin0, inMax0;
  int inInc0, inInc1, inInc2;
  T *inPtr0, *inPtr1, *inPtr2;
  //
  int outMin0, outMax0, outMin1, outMax1, outMin2, outMax2;
  int outInc0, outInc1, outInc2;
  float *outPtr0, *outPtr1, *outPtr2;
  //
  int idx0, idx1, idx2, inSize0, numberOfComponents;
  unsigned long count = 0;
  unsigned long target;
  float startProgress;

  startProgress = self->GetIteration()/(float)(self->GetNumberOfIterations());
  
  // Reorder axes (The outs here are just placeholdes
  self->PermuteExtent(inExt, inMin0, inMax0, outMin1,outMax1,outMin2,outMax2);
  self->PermuteExtent(outExt, outMin0,outMax0,outMin1,outMax1,outMin2,outMax2);
  self->PermuteIncrements(inData->GetIncrements(), inInc0, inInc1, inInc2);
  self->PermuteIncrements(outData->GetIncrements(), outInc0, outInc1, outInc2);
  
  inSize0 = inMax0 - inMin0 + 1;
  
  // Input has to have real components at least.
  numberOfComponents = inData->GetNumberOfScalarComponents();
  if (numberOfComponents < 1)
    {
    vtkGenericWarningMacro("No real components");
    return;
    }

  // Allocate the arrays of complex numbers
  inComplex = new vtkImageComplex[inSize0];
  outComplex = new vtkImageComplex[inSize0];

  target = (unsigned long)((outMax2-outMin2+1)*(outMax1-outMin1+1)
                           * self->GetNumberOfIterations() / 50.0);
  target++;

  // loop over other axes
  inPtr2 = inPtr;
  outPtr2 = outPtr;
  for (idx2 = outMin2; idx2 <= outMax2; ++idx2)
    {
    inPtr1 = inPtr2;
    outPtr1 = outPtr2;
    for (idx1 = outMin1; !self->AbortExecute && idx1 <= outMax1; ++idx1)
      {
      if (!id) 
        {
        if (!(count%target))
          {
          self->UpdateProgress(count/(50.0*target) + startProgress);
          }
        count++;
        }
      // copy into complex numbers
      inPtr0 = inPtr1;
      pComplex = inComplex;
      for (idx0 = inMin0; idx0 <= inMax0; ++idx0)
        {
        pComplex->Real = (double)(*inPtr0);
        pComplex->Imag = 0.0;
        if (numberOfComponents > 1)
          { // yes we have an imaginary input
          pComplex->Imag = (double)(inPtr0[1]);;
          }
        inPtr0 += inInc0;
        ++pComplex;
        }
      
      // Call the method that performs the RFFT
      self->ExecuteRfft(inComplex, outComplex, inSize0);

      // copy into output
      outPtr0 = outPtr1;
      pComplex = outComplex + (outMin0 - inMin0);
      for (idx0 = outMin0; idx0 <= outMax0; ++idx0)
        {
        *outPtr0 = (float)pComplex->Real;
        outPtr0[1] = (float)pComplex->Imag;
        outPtr0 += outInc0;
        ++pComplex;
        }
      inPtr1 += inInc1;
      outPtr1 += outInc1;
      }
    inPtr2 += inInc2;
    outPtr2 += outInc2;
    }
    
  delete [] inComplex;
  delete [] outComplex;
}




//----------------------------------------------------------------------------
// This method is passed input and output Datas, and executes the RFFT
// algorithm to fill the output from the input.
// Not threaded yet.
void vtkImageRFFT::ThreadedExecute(vtkImageData *inData, vtkImageData *outData,
                                  int outExt[6], int threadId)
{
  void *inPtr, *outPtr;
  int inExt[6];

  this->ComputeInputUpdateExtent(inExt, outExt);  
  inPtr = inData->GetScalarPointerForExtent(inExt);
  outPtr = outData->GetScalarPointerForExtent(outExt);
  
  // this filter expects that the output be floats.
  if (outData->GetScalarType() != VTK_FLOAT)
    {
    vtkErrorMacro(<< "Execute: Output must be be type float.");
    return;
    }

  // this filter expects input to have 1 or two components
  if (outData->GetNumberOfScalarComponents() != 1 && 
      outData->GetNumberOfScalarComponents() != 2)
    {
    vtkErrorMacro(<< "Execute: Cannot handle more than 2 components");
    return;
    }

  // choose which templated function to call.
  switch (inData->GetScalarType())
    {
    vtkTemplateMacro8(vtkImageRFFTExecute, this, inData, inExt, 
                      (VTK_TT *)(inPtr), outData, outExt, 
                      (float *)(outPtr), threadId);
    default:
      vtkErrorMacro(<< "Execute: Unknown ScalarType");
      return;
    }
}



//----------------------------------------------------------------------------
// For streaming and threads.  Splits output update extent into num pieces.
// This method needs to be called num times.  Results must not overlap for
// consistent starting extent.  Subclass can override this method.
// This method returns the number of peices resulting from a successful split.
// This can be from 1 to "total".  
// If 1 is returned, the extent cannot be split.
int vtkImageRFFT::SplitExtent(int splitExt[6], int startExt[6], 
                             int num, int total)
{
  int splitAxis;
  int min, max;

  vtkDebugMacro("SplitExtent: ( " << startExt[0] << ", " << startExt[1] << ", "
                << startExt[2] << ", " << startExt[3] << ", "
                << startExt[4] << ", " << startExt[5] << "), " 
                << num << " of " << total);

  // start with same extent
  memcpy(splitExt, startExt, 6 * sizeof(int));

  splitAxis = 2;
  min = startExt[4];
  max = startExt[5];
  while ((splitAxis == this->Iteration) || (min == max))
    {
    splitAxis--;
    if (splitAxis < 0)
      { // cannot split
      vtkDebugMacro("  Cannot Split");
      return 1;
      }
    min = startExt[splitAxis*2];
    max = startExt[splitAxis*2+1];
    }

  // determine the actual number of pieces that will be generated
  if ((max - min + 1) < total)
    {
    total = max - min + 1;
    }
  
  if (num >= total)
    {
    vtkDebugMacro("  SplitRequest (" << num 
                  << ") larger than total: " << total);
    return total;
    }
  
  // determine the extent of the piece
  splitExt[splitAxis*2] = min + (max - min + 1)*num/total;
  if (num == total - 1)
    {
    splitExt[splitAxis*2+1] = max;
    }
  else
    {
    splitExt[splitAxis*2+1] = (min-1) + (max - min + 1)*(num+1)/total;
    }
  
  vtkDebugMacro("  Split Piece: ( " <<splitExt[0]<< ", " <<splitExt[1]<< ", "
                << splitExt[2] << ", " << splitExt[3] << ", "
                << splitExt[4] << ", " << splitExt[5] << ")");
  fflush(stderr);

  return total;
}

  
















