#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 <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 auxiliar 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 <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, globmatte);</t>

		else

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

	}

	r->unlock();

}

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

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

void directionalBlur(TRasterPT<t> rout, TRasterPT<t> rin, const TPointD &blur, const TPoint &offset, bool bidirectional)</t></t>

{

	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

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;

	}

}

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);

	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);

	}

	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 &);

	bool canHandle(const TRenderSettings &info, double frame)

	{

		return isAlmostIsotropic(info.m_affine) || m_intensity->getValue(frame) == 0;

	}

	int getMemoryRequirement(const TRectD &rect, double frame, const TRenderSettings &info);

};

class DirectionalBlurFx : 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)

	{

		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 : public DirectionalBlurBaseFx

{

	FX_PLUGIN_DECLARATION(MotionBlurFx)

public:

	MotionBlurFx()

		: DirectionalBlurBaseFx(true)

	{

	}

	std::string getAlias(double frame, const TRenderSettings &info) const

	{

		unsigned long id = getIdentifier();

		double value = m_intensity->getValue(frame);

		return getFxType() + "[" + toString(id) + "," + toString(frame) + "," + toString(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) * (TConsts::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) * (TConsts::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 ohter 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, m_bidirectional->getValue());</tpixel32>

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

			directionalBlur<tpixel64>(rasOut, rasIn, blur, p, m_bidirectional->getValue());</tpixel64>

	}

}

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

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) * (TConsts::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");