#include <memory></memory>

#include "tpixel.h"

#include <stdio.h></stdio.h>

#include "tfxparam.h"

#include <stdlib.h></stdlib.h>

#include <math.h></math.h>

#include <assert.h></assert.h>

#include "tpixelutils.h"

#include "trop.h"

#include "stdfx.h"

#include "tgeometry.h"

#include "tfxattributes.h"

#include "tparamuiconcept.h"

// #include "timage_io.h"

/*---------------------------------------------------------------------------*/

namespace {

/*

template<class t=""></class>

void overlayPixels(const T& dw, const T& up, T& ris, double glob)

{

int value;

double aux;

int max = T::maxChannelValue;

if (up.m == 0)

  ris = dw;

else if ((up.m == max)&&(glob==1))

  ris = up;

else if (glob==1)

  {

  aux = (max-up.m)/max;

  value = up.r + troundp(dw.r * aux);

  ris.r = (value 

  value = up.g + troundp(dw.g * aux);

  ris.g = (value 

  value = up.b + troundp(dw.b * aux);

  ris.b = (value 

  value = up.m + dw.m;

  ris.m = (value 

  }

else

  {

  aux = (max-up.m*glob)/max;

  value = (int)(up.r*glob) + troundp(dw.r * aux);

  ris.r = (value 

  value = (int)(up.g*glob) + troundp(dw.g * aux);

  ris.g = (value 

  value = (int)(up.b*glob) + troundp(dw.b * aux);

  ris.b = (value 

  value = (int)(up.m*glob) + dw.m;

  ris.m = (value 

        }

}

*/

/*---------------------------------------------------------------------------*/

template <class t=""></class>

inline void blur_code(T *row1, T *row2, int length, double coeff, double coeffq,

                      int brad, double diff, double globmatte) {

  int i;

  double rsum, gsum, bsum, msum;

  TPixelD sigma1, sigma2, sigma3, desigma;

  T *pix1, *pix2, *pix3, *pix4;

  int max = T::maxChannelValue;

  pix1 = row1;

  pix2 = row1 - 1;

  sigma1.r = pix1->r;

  sigma1.g = pix1->g;

  sigma1.b = pix1->b;

  sigma1.m = pix1->m;

  pix1++;

  sigma2.r = sigma2.g = sigma2.b = sigma2.m = 0.0;

  sigma3.r = sigma3.g = sigma3.b = sigma3.m = 0.0;

  for (i = 1; i < brad; i++) {

    sigma1.r += pix1->r;

    sigma1.g += pix1->g;

    sigma1.b += pix1->b;

    sigma1.m += pix1->m;

    sigma2.r += pix2->r;

    sigma2.g += pix2->g;

    sigma2.b += pix2->b;

    sigma2.m += pix2->m;

    sigma3.r += i * (pix1->r + pix2->r);

    sigma3.g += i * (pix1->g + pix2->g);

    sigma3.b += i * (pix1->b + pix2->b);

    sigma3.m += i * (pix1->m + pix2->m);

    pix1++;

    pix2--;

  }

  rsum = (sigma1.r + sigma2.r) * coeff - sigma3.r * coeffq + 0.5;

  gsum = (sigma1.g + sigma2.g) * coeff - sigma3.g * coeffq + 0.5;

  bsum = (sigma1.b + sigma2.b) * coeff - sigma3.b * coeffq + 0.5;

  msum = (sigma1.m + sigma2.m) * coeff - sigma3.m * coeffq + 0.5;

  row2->r = tcrop((int)rsum, 0, max);

  row2->g = tcrop((int)gsum, 0, max);

  row2->b = tcrop((int)bsum, 0, max);

  row2->m = tcrop((int)msum, 0, max);

  if (globmatte != 1.0) {

    row2->r = (int)(row2->r * globmatte);

    row2->g = (int)(row2->g * globmatte);

    row2->b = (int)(row2->b * globmatte);

    row2->m = (int)(row2->m * globmatte);

  }

  *row2 = overPix(*row1, *row2);

  // overlayPixels<t>(*row1, *row2, *row2, globmatte);</t>

  // row2++;

  sigma2.r += row1[-brad].r;

  sigma2.g += row1[-brad].g;

  sigma2.b += row1[-brad].b;

  sigma2.m += row1[-brad].m;

  pix1 = row1 + brad;

  pix2 = row1;

  pix3 = row1 - brad;

  pix4 = row1 - brad + 1;

  desigma.r = sigma1.r - sigma2.r;

  desigma.g = sigma1.g - sigma2.g;

  desigma.b = sigma1.b - sigma2.b;

  desigma.m = sigma1.m - sigma2.m;

  for (i = 1; i < length; i++) {

    desigma.r += pix1->r - 2 * pix2->r + pix3->r;

    desigma.g += pix1->g - 2 * pix2->g + pix3->g;

    desigma.b += pix1->b - 2 * pix2->b + pix3->b;

    desigma.m += pix1->m - 2 * pix2->m + pix3->m;

    rsum += (desigma.r + diff * (pix1->r - pix4->r)) * coeffq;

    gsum += (desigma.g + diff * (pix1->g - pix4->g)) * coeffq;

    bsum += (desigma.b + diff * (pix1->b - pix4->b)) * coeffq;

    msum += (desigma.m + diff * (pix1->m - pix4->m)) * coeffq;

    row2->r = tcrop((int)rsum, 0, max);

    row2->g = tcrop((int)gsum, 0, max);

    row2->b = tcrop((int)bsum, 0, max);

    row2->m = tcrop((int)msum, 0, max);

    if (globmatte != 1.0) {

      row2->r = (int)(row2->r * globmatte);

      row2->g = (int)(row2->g * globmatte);

      row2->b = (int)(row2->b * globmatte);

      row2->m = (int)(row2->m * globmatte);

    }

    *row2 = overPix(*pix2, *row2);

    // overlayPixels<t>(*pix2, *row2, *row2, 0.8);</t>

    row2++;

    pix1++, pix2++, pix3++, pix4++;

  }

}

template <>

inline void blur_code<tpixelf>(TPixelF *row1, TPixelF *row2, int length,</tpixelf>

                               double coeff, double coeffq, int brad,

                               double diff, double globmatte) {

  int i;

  double rsum, gsum, bsum, msum;

  TPixelD sigma1, sigma2, sigma3, desigma;

  TPixelF *pix1, *pix2, *pix3, *pix4;

  // int max = T::maxChannelValue;

  pix1 = row1;

  pix2 = row1 - 1;

  sigma1.r = pix1->r;

  sigma1.g = pix1->g;

  sigma1.b = pix1->b;

  sigma1.m = pix1->m;

  pix1++;

  sigma2.r = sigma2.g = sigma2.b = sigma2.m = 0.0;

  sigma3.r = sigma3.g = sigma3.b = sigma3.m = 0.0;

  for (i = 1; i < brad; i++) {

    sigma1.r += pix1->r;

    sigma1.g += pix1->g;

    sigma1.b += pix1->b;

    sigma1.m += pix1->m;

    sigma2.r += pix2->r;

    sigma2.g += pix2->g;

    sigma2.b += pix2->b;

    sigma2.m += pix2->m;

    sigma3.r += i * (pix1->r + pix2->r);

    sigma3.g += i * (pix1->g + pix2->g);

    sigma3.b += i * (pix1->b + pix2->b);

    sigma3.m += i * (pix1->m + pix2->m);

    pix1++;

    pix2--;

  }

  rsum = (sigma1.r + sigma2.r) * coeff - sigma3.r * coeffq;

  gsum = (sigma1.g + sigma2.g) * coeff - sigma3.g * coeffq;

  bsum = (sigma1.b + sigma2.b) * coeff - sigma3.b * coeffq;

  msum = (sigma1.m + sigma2.m) * coeff - sigma3.m * coeffq;

  row2->r = rsum;

  row2->g = gsum;

  row2->b = bsum;

  row2->m = tcrop((float)msum, 0.f, 1.f);

  if (globmatte != 1.0) {

    row2->r = row2->r * globmatte;

    row2->g = row2->g * globmatte;

    row2->b = row2->b * globmatte;

    row2->m = row2->m * globmatte;

  }

  *row2 = overPix(*row1, *row2);

  // overlayPixels<t>(*row1, *row2, *row2, globmatte);</t>

  // row2++;

  sigma2.r += row1[-brad].r;

  sigma2.g += row1[-brad].g;

  sigma2.b += row1[-brad].b;

  sigma2.m += row1[-brad].m;

  pix1 = row1 + brad;

  pix2 = row1;

  pix3 = row1 - brad;

  pix4 = row1 - brad + 1;

  desigma.r = sigma1.r - sigma2.r;

  desigma.g = sigma1.g - sigma2.g;

  desigma.b = sigma1.b - sigma2.b;

  desigma.m = sigma1.m - sigma2.m;

  for (i = 1; i < length; i++) {

    desigma.r += pix1->r - 2 * pix2->r + pix3->r;

    desigma.g += pix1->g - 2 * pix2->g + pix3->g;

    desigma.b += pix1->b - 2 * pix2->b + pix3->b;

    desigma.m += pix1->m - 2 * pix2->m + pix3->m;

    rsum += (desigma.r + diff * (pix1->r - pix4->r)) * coeffq;

    gsum += (desigma.g + diff * (pix1->g - pix4->g)) * coeffq;

    bsum += (desigma.b + diff * (pix1->b - pix4->b)) * coeffq;

    msum += (desigma.m + diff * (pix1->m - pix4->m)) * coeffq;

    row2->r = rsum;

    row2->g = gsum;

    row2->b = bsum;

    row2->m = tcrop((float)msum, 0.f, 1.f);

    if (globmatte != 1.0) {

      row2->r = row2->r * globmatte;

      row2->g = row2->g * globmatte;

      row2->b = row2->b * globmatte;

      row2->m = row2->m * globmatte;

    }

    *row2 = overPix(*pix2, *row2);

    // overlayPixels<t>(*pix2, *row2, *row2, 0.8);</t>

    row2++;

    pix1++, pix2++, pix3++, pix4++;

  }

}

/*---------------------------------------------------------------------------*/

template <class t=""></class>

void do_filtering(T *row1, T *row2, int length, double coeff, int brad,

                  double Mblur, double globmatte) {

  int i;

  double rsum, gsum, bsum, msum;

  TPixelD sigma1, sigma2;

  int max = T::maxChannelValue;

  sigma1.r = sigma1.g = sigma1.b = sigma1.m = 0.0;

  sigma2.r = sigma2.g = sigma2.b = sigma2.m = 0.0;

  for (i = 0; i <= brad; i++) {

    sigma1.r += row1[-i].r;

    sigma1.g += row1[-i].g;

    sigma1.b += row1[-i].b;

    sigma1.m += row1[-i].m;

    sigma2.r += -i * row1[-i].r;

    sigma2.g += -i * row1[-i].g;

    sigma2.b += -i * row1[-i].b;

    sigma2.m += -i * row1[-i].m;

  }

  for (i = 0; i < length; i++) /* for the ith point the previous computing is

                                  used, with the values */

  {

    /* stored in the auxiliary variables sigma1 and sigma2. */

    rsum = ((Mblur - i) * sigma1.r + sigma2.r) / coeff;

    gsum = ((Mblur - i) * sigma1.g + sigma2.g) / coeff;

    bsum = ((Mblur - i) * sigma1.b + sigma2.b) / coeff;

    msum = ((Mblur - i) * sigma1.m + sigma2.m) / coeff;

    row2[i].r = (rsum < max) ? troundp(rsum) : max;

    row2[i].g = (gsum < max) ? troundp(gsum) : max;

    row2[i].b = (bsum < max) ? troundp(bsum) : max;

    row2[i].m = (msum < max) ? troundp(msum) : max;

    if (globmatte != 1.0) {

      row2[i].r = (int)(row2[i].r * globmatte);

      row2[i].g = (int)(row2[i].g * globmatte);

      row2[i].b = (int)(row2[i].b * globmatte);

      row2[i].m = (int)(row2[i].m * globmatte);

    }

    row2[i] = overPix(row1[i], row2[i]);

    // overlayPixels<t>(row1[i], row2[i], row2[i], globmatte);</t>

    if (i < length - 1) {

      sigma1.r += row1[i + 1].r - row1[i - brad].r;

      sigma1.g += row1[i + 1].g - row1[i - brad].g;

      sigma1.b += row1[i + 1].b - row1[i - brad].b;

      sigma1.m += row1[i + 1].m - row1[i - brad].m;

      sigma2.r += (i + 1) * row2[i + 1].r - (i - brad) * row1[i - brad].r;

      sigma2.g += (i + 1) * row2[i + 1].g - (i - brad) * row1[i - brad].g;

      sigma2.b += (i + 1) * row2[i + 1].b - (i - brad) * row1[i - brad].b;

      sigma2.m += (i + 1) * row2[i + 1].m - (i - brad) * row1[i - brad].m;

    }

  }

}

template <>

void do_filtering<tpixelf>(TPixelF *row1, TPixelF *row2, int length,</tpixelf>

                           double coeff, int brad, double Mblur,

                           double globmatte) {

  int i;

  double rsum, gsum, bsum, msum;

  TPixelD sigma1, sigma2;

  sigma1.r = sigma1.g = sigma1.b = sigma1.m = 0.0;

  sigma2.r = sigma2.g = sigma2.b = sigma2.m = 0.0;

  for (i = 0; i <= brad; i++) {

    sigma1.r += row1[-i].r;

    sigma1.g += row1[-i].g;

    sigma1.b += row1[-i].b;

    sigma1.m += row1[-i].m;

    sigma2.r += -i * row1[-i].r;

    sigma2.g += -i * row1[-i].g;

    sigma2.b += -i * row1[-i].b;

    sigma2.m += -i * row1[-i].m;

  }

  for (i = 0; i < length; i++) /* for the ith point the previous computing is

                                  used, with the values */

  {

    /* stored in the auxiliary variables sigma1 and sigma2. */

    rsum = ((Mblur - i) * sigma1.r + sigma2.r) / coeff;

    gsum = ((Mblur - i) * sigma1.g + sigma2.g) / coeff;

    bsum = ((Mblur - i) * sigma1.b + sigma2.b) / coeff;

    msum = ((Mblur - i) * sigma1.m + sigma2.m) / coeff;

    row2[i].r = rsum;

    row2[i].g = gsum;

    row2[i].b = bsum;

    row2[i].m = std::min(msum, 1.0);

    if (globmatte != 1.0) {

      row2[i].r = row2[i].r * globmatte;

      row2[i].g = row2[i].g * globmatte;

      row2[i].b = row2[i].b * globmatte;

      row2[i].m = row2[i].m * globmatte;

    }

    row2[i] = overPix(row1[i], row2[i]);

    // overlayPixels<t>(row1[i], row2[i], row2[i], globmatte);</t>

    if (i < length - 1) {

      sigma1.r += row1[i + 1].r - row1[i - brad].r;

      sigma1.g += row1[i + 1].g - row1[i - brad].g;

      sigma1.b += row1[i + 1].b - row1[i - brad].b;

      sigma1.m += row1[i + 1].m - row1[i - brad].m;

      sigma2.r += (double)(i + 1) * row2[i + 1].r -

                  (double)(i - brad) * row1[i - brad].r;

      sigma2.g += (double)(i + 1) * row2[i + 1].g -

                  (double)(i - brad) * row1[i - brad].g;

      sigma2.b += (double)(i + 1) * row2[i + 1].b -

                  (double)(i - brad) * row1[i - brad].b;

      sigma2.m += (double)(i + 1) * row2[i + 1].m -

                  (double)(i - brad) * row1[i - brad].m;

    }

  }

}

/*---------------------------------------------------------------------------*/

template <class t=""></class>

void takeRow(T *rin, T *row, int lx, int brad, bool bidirectional) {

  int i;

  for (i = 0; i < lx; i++) row[i] = rin[i];

  for (i = -1; i > -brad;

       i--) /* pixels equal to the ones of border of image are added   */

    row[i] = row[0]; /* to avoid a black blur to get into the picture. */

  if (bidirectional)

    for (i = lx; i < lx + brad;

         i++) /* pixels equal to the ones of border of image are added   */

      row[i] = row[lx - 1]; /* to avoid a black blur to get into the picture. */

}

/*---------------------------------------------------------------------------*/

template <class t=""></class>

void doDirectionalBlur(TRasterPT<t> r, double blur, bool bidirectional) {</t>

  int i, lx, ly, brad;

  double coeff, coeffq, diff, globmatte;

  brad = tfloor(blur); /* number of pixels involved in the filtering. */

  if (bidirectional) {

    coeff =

        blur /

        (brad - brad * brad +

         blur * (2 * brad - 1));  // sum of the weights of triangolar filter.

    coeffq = coeff / blur;

    diff   = blur - brad;

  } else

    coeff = (brad + 1) * (1 - brad / (2 * blur)) *

            blur; /*sum of the weights of triangolar filter.              */

  lx = r->getLx();

  ly = r->getLy();

  if ((lx == 0) || (ly == 0)) return;

  std::unique_ptr<t[]> row(new T[lx + 2 * brad + 2]);</t[]>

  if (!row) return;

  memset(row.get(), 0, (lx + 2 * brad + 2) * sizeof(T));

  globmatte = 0.8; /* a little bit of transparency is also added */

  r->lock();

  for (i = 0; i < ly; i++) {

    T *buffer = (T *)r->pixels(i);

    takeRow(buffer, row.get() + brad, lx, brad, bidirectional);

    if (bidirectional)

      blur_code<t>(row.get() + brad, buffer, lx, coeff, coeffq, brad, diff,</t>

                   globmatte);

    else

      do_filtering<t>(row.get() + brad, buffer, lx, coeff, brad, blur,</t>

                      globmatte);

  }

  r->unlock();

}

/*---------------------------------------------------------------------------*/

template <class t=""></class>

void directionalBlur(TRasterPT<t> rout, TRasterPT<t> rin, const TPointD &blur,</t></t>

                     const TPoint &offset, bool bidirectional) {

  double cs, sn, cx_aux, cy_aux;

  int lx, ly, lx_aux, ly_aux;

  double blurValue = tdistance(TPointD(), blur);

  lx = rin->getLx();

  ly = rin->getLy();

  cs = blur.x / blurValue;

  sn = blur.y / blurValue;

  lx_aux = (int)tceil(lx * fabs(cs) + ly * fabs(sn));

  ly_aux = (int)tceil(lx * fabs(sn) + ly * fabs(cs));

  cx_aux = lx_aux * .5;

  cy_aux = ly_aux * .5;

  TRasterPT<t> raux = TRasterPT<t>(lx_aux, ly_aux);</t></t>

  TAffine rot(cs, sn, 0, -sn, cs, 0);

  rot = rot.place(convert(rin->getCenter()), convert(raux->getCenter()));

  TRop::resample(raux, rin, rot);

  doDirectionalBlur<t>(raux, blurValue, bidirectional);</t>

  TAffine rotInv(cs, -sn, 0, sn, cs, 0);

  rotInv = rotInv.place(convert(raux->getCenter()),

                        convert(rin->getCenter() + offset));

  TRop::resample(rout, raux, rotInv);

}

}  // namespace

static void enlargeDir(TRectD &r, TPointD p, bool bidirectional) {

  if (bidirectional) {

    r.x1 += fabs(p.x);

    r.x0 -= fabs(p.x);

    r.y1 += fabs(p.y);

    r.y0 -= fabs(p.y);

  } else {

    if (p.x > 0)

      r.x1 += p.x;

    else

      r.x0 -= -p.x;

    if (p.y > 0)

      r.y1 += p.y;

    else

      r.y0 -= -p.y;

  }

}

static void reduceDir(TRectD &r, TPointD p, bool bidirectional) {

  if (bidirectional) {

    r.x1 -= fabs(p.x);

    r.x0 += fabs(p.x);

    r.y1 -= fabs(p.y);

    r.y0 += fabs(p.y);

  } else {

    if (p.x > 0)

      r.x1 -= p.x;

    else

      r.x0 += -p.x;

    if (p.y > 0)

      r.y1 -= p.y;

    else

      r.y0 += -p.y;

  }

}

class DirectionalBlurBaseFx : public TStandardRasterFx {

  // FX_PLUGIN_DECLARATION(DirectionalBlurBaseFx)

protected:

  bool m_isMotionBlur;

  TRasterFxPort m_input;

  TDoubleParamP m_angle;

  TDoubleParamP m_intensity;

  TBoolParamP m_bidirectional;

  TBoolParamP m_spread;

  //  TBoolParamP m_useSSE;

public:

  bool doGetBBox(double frame, TRectD &bBox,

                 const TRenderSettings &info) override;

  DirectionalBlurBaseFx(bool isMotionBLur)

      : m_isMotionBlur(isMotionBLur)

      , m_angle(0.0)

      , m_intensity(10.0)

      , m_bidirectional(false)

      , m_spread(true) {

    bindParam(this, "intensity", m_intensity);

    bindParam(this, "bidirectional", m_bidirectional);

    bindParam(this, "spread", m_spread);

    addInputPort("Source", m_input);

    m_intensity->setValueRange(0, (std::numeric_limits<double>::max)());</double>

    getAttributes()->setIsSpeedAware(true);

    enableComputeInFloat(true);

  }

  TPointD getBlurVector(double frame) const {

    TPointD speed = getAttributes()->getSpeed();

    double value  = m_intensity->getValue(frame);

    return value * speed;

  }

  ~DirectionalBlurBaseFx(){};

  void doCompute(TTile &tile, double frame, const TRenderSettings &) override;

  bool canHandle(const TRenderSettings &info, double frame) override {

    return isAlmostIsotropic(info.m_affine) ||

           m_intensity->getValue(frame) == 0;

  }

  int getMemoryRequirement(const TRectD &rect, double frame,

                           const TRenderSettings &info) override;

};

class DirectionalBlurFx final : public DirectionalBlurBaseFx

{

  FX_PLUGIN_DECLARATION(DirectionalBlurFx)

public:

  DirectionalBlurFx() : DirectionalBlurBaseFx(false) {

    m_intensity->setMeasureName("fxLength");

    m_angle->setMeasureName("angle");

    bindParam(this, "angle", m_angle);

  }

  void getParamUIs(TParamUIConcept *&concepts, int &length) override {

    concepts = new TParamUIConcept[length = 1];

    concepts[0].m_type  = TParamUIConcept::POLAR;

    concepts[0].m_label = "Angle and Intensity";

    concepts[0].m_params.push_back(m_angle);

    concepts[0].m_params.push_back(m_intensity);

  }

};

class MotionBlurFx final : public DirectionalBlurBaseFx

{

  FX_PLUGIN_DECLARATION(MotionBlurFx)

public:

  MotionBlurFx() : DirectionalBlurBaseFx(true) {}

  std::string getAlias(double frame,

                       const TRenderSettings &info) const override {

    std::string alias = getFxType();

    alias += "[";

    // alias of the effects related to the input ports separated by commas

    // a port that is not connected to an alias blank (empty string)

    int i;

    for (i = 0; i < getInputPortCount(); i++) {

      TFxPort *port = getInputPort(i);

      if (port->isConnected()) {

        TRasterFxP ifx = port->getFx();

        assert(ifx);

        alias += ifx->getAlias(frame, info);

      }

      alias += ",";

    }

    unsigned long id = getIdentifier();

    double value     = m_intensity->getValue(frame);

    return alias + std::to_string(id) + "," + std::to_string(frame) + "," +

           std::to_string(value) + "]";

  }

};

//-------------------------------------------------------------------

bool DirectionalBlurBaseFx::doGetBBox(double frame, TRectD &bBox,

                                      const TRenderSettings &info) {

  if (m_input.isConnected()) {

    bool ret = m_input->doGetBBox(frame, bBox, info);

    if (m_spread->getValue()) {

      TPointD blur;

      if (m_isMotionBlur)

        blur = getBlurVector(frame);

      else {

        double angle = m_angle->getValue(frame) * M_PI_180;

        blur.x       = m_intensity->getValue(frame) * cos(angle);

        blur.y       = m_intensity->getValue(frame) * sin(angle);

      }

      enlargeDir(bBox, blur, m_bidirectional->getValue());

    }

    return ret;

  } else {

    bBox = TRectD();

    return false;

  }

}

//-------------------------------------------------------------------

void DirectionalBlurBaseFx::doCompute(TTile &tile, double frame,

                                      const TRenderSettings &ri) {

  if (!m_input.isConnected()) return;

  TPointD blurVector;

  if (m_isMotionBlur) {

    blurVector = getBlurVector(frame);

  } else {

    double angle = m_angle->getValue(frame) * M_PI_180;

    blurVector.x = m_intensity->getValue(frame) * cos(angle);

    blurVector.y = m_intensity->getValue(frame) * sin(angle);

  }

  const double limit = 900.0;

  blurVector.x       = tcrop(blurVector.x, -limit, limit);

  blurVector.y       = tcrop(blurVector.y, -limit, limit);

  double shrink      = (ri.m_shrinkX + ri.m_shrinkY) / 2.0;

  TAffine aff = ri.m_affine;

  aff.a13 = aff.a23 = 0;

  TPointD blur      = (1.0 / shrink) * (aff * blurVector);

  double blurValue = norm(blur);

  if (areAlmostEqual(blurValue, 0, 1e-3)) {

    m_input->compute(tile, frame, ri);

    return;

  }

  TRectD rectTile = TRectD(tile.m_pos, TDimensionD(tile.getRaster()->getLx(),

                                                   tile.getRaster()->getLy()));

  if (!rectTile.isEmpty()) {

    TRectD bboxIn;

    m_input->getBBox(frame, bboxIn, ri);

    if (bboxIn == TConsts::infiniteRectD) bboxIn = rectTile;

    TPointD blur = (1.0 / shrink) * (aff * blurVector);

    // enlarge must be bidirectional, because we need pixel on the other side of

    // blur

    enlargeDir(bboxIn, blur, true);

    rectTile = bboxIn * rectTile.enlarge(fabs(blur.x), fabs(blur.y));

    TRect rectIn;

    rectIn.x0 = tfloor(rectTile.x0);

    rectIn.y0 = tfloor(rectTile.y0);

    rectIn.x1 = tceil(rectTile.x1);

    rectIn.y1 = tceil(rectTile.y1);

    int rasInLx = rectIn.getLx();

    int rasInLy = rectIn.getLy();

    TTile tileIn;

    m_input->allocateAndCompute(tileIn, convert(rectIn.getP00()),

                                TDimension(rasInLx, rasInLy), tile.getRaster(),

                                frame, ri);

    TRasterP rasIn = tileIn.getRaster();

    TRect rectOut =

        rasIn->getBounds() + (rectIn.getP00() - convert(tile.m_pos));

    TRasterP rasOut = tile.getRaster()->extract(rectOut);

    TPoint p;

    if (rectIn.x0 < tile.m_pos.x) p.x = rectIn.x0 - tile.m_pos.x;

    if (rectIn.y0 < tile.m_pos.y) p.y = rectIn.y0 - tile.m_pos.y;

    if ((TRaster32P)rasIn && (TRaster32P)rasOut)

      directionalBlur<tpixel32>(rasOut, rasIn, blur, p,</tpixel32>

                                m_bidirectional->getValue());

    else if ((TRaster64P)rasIn && (TRaster64P)rasOut)

      directionalBlur<tpixel64>(rasOut, rasIn, blur, p,</tpixel64>

                                m_bidirectional->getValue());

    else if ((TRasterFP)rasIn && (TRasterFP)rasOut)

      directionalBlur<tpixelf>(rasOut, rasIn, blur, p,</tpixelf>

                               m_bidirectional->getValue());

  }

}

//---------------------------------------------------------------------------

int DirectionalBlurBaseFx::getMemoryRequirement(const TRectD &rect,

                                                double frame,

                                                const TRenderSettings &info) {

  TPointD blurVector;

  if (m_isMotionBlur) {

    blurVector = getBlurVector(frame);

  } else {

    double angle = m_angle->getValue(frame) * M_PI_180;

    blurVector.x = m_intensity->getValue(frame) * cos(angle);

    blurVector.y = m_intensity->getValue(frame) * sin(angle);

  }

  const double limit = 900.0;

  blurVector.x       = tcrop(blurVector.x, -limit, limit);

  blurVector.y       = tcrop(blurVector.y, -limit, limit);

  double shrink      = (info.m_shrinkX + info.m_shrinkY) / 2.0;

  TAffine aff = info.m_affine;

  aff.a13 = aff.a23 = 0;

  TPointD blur      = (1.0 / shrink) * (aff * blurVector);

  return TRasterFx::memorySize(rect.enlarge(blur.x, blur.y), info.m_bpp);

}

//---------------------------------------------------------------------------

FX_PLUGIN_IDENTIFIER(DirectionalBlurFx, "directionalBlurFx");

FX_PLUGIN_IDENTIFIER(MotionBlurFx, "motionBlurFx");