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/*
 * Copyright © 2000 SuSE, Inc.
 * Copyright © 2007 Red Hat, Inc.
 *
 * Permission to use, copy, modify, distribute, and sell this software and its
 * documentation for any purpose is hereby granted without fee, provided that
 * the above copyright notice appear in all copies and that both that
 * copyright notice and this permission notice appear in supporting
 * documentation, and that the name of SuSE not be used in advertising or
 * publicity pertaining to distribution of the software without specific,
 * written prior permission.  SuSE makes no representations about the
 * suitability of this software for any purpose.  It is provided "as is"
 * without express or implied warranty.
 *
 * SuSE DISCLAIMS ALL WARRANTIES WITH REGARD TO THIS SOFTWARE, INCLUDING ALL
 * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS, IN NO EVENT SHALL SuSE
 * BE LIABLE FOR ANY SPECIAL, INDIRECT OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES
 * WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION
 * OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN
 * CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE.
 */

#include <config.h>
#include <stdlib.h>
#include "pixman-private.h"

static source_pict_class_t
linear_gradient_classify (pixman_image_t *image,
			  int	          x,
			  int	          y,
			  int	          width,
			  int	          height)
{
    linear_gradient_t *linear = (linear_gradient_t *)image;
    pixman_vector_t   v;
    pixman_fixed_32_32_t l;
    pixman_fixed_48_16_t dx, dy, a, b, off;
    pixman_fixed_48_16_t factors[4];
    int	     i;
    
    image->source.class = SOURCE_IMAGE_CLASS_UNKNOWN;
    
    dx = linear->p2.x - linear->p1.x;
    dy = linear->p2.y - linear->p1.y;
    l = dx * dx + dy * dy;
    if (l)
    {
	a = (dx << 32) / l;
	b = (dy << 32) / l;
    }
    else
    {
	a = b = 0;
    }
    
    off = (-a * linear->p1.x
	   -b * linear->p1.y) >> 16;
    
    for (i = 0; i < 3; i++)
    {
	v.vector[0] = pixman_int_to_fixed ((i % 2) * (width  - 1) + x);
	v.vector[1] = pixman_int_to_fixed ((i / 2) * (height - 1) + y);
	v.vector[2] = pixman_fixed_1;
	
	if (image->common.transform)
	{
	    if (!pixman_transform_point_3d (image->common.transform, &v))
	    {
		image->source.class = SOURCE_IMAGE_CLASS_UNKNOWN;
		
		return image->source.class;
	    }
	}
	
	factors[i] = ((a * v.vector[0] + b * v.vector[1]) >> 16) + off;
    }
    
    if (factors[2] == factors[0])
	image->source.class = SOURCE_IMAGE_CLASS_HORIZONTAL;
    else if (factors[1] == factors[0])
	image->source.class = SOURCE_IMAGE_CLASS_VERTICAL;

    return image->source.class;
}

static void
linear_gradient_property_changed (pixman_image_t *image)
{
    image->common.get_scanline_32 = (scanFetchProc)pixmanFetchSourcePict;
    image->common.get_scanline_64 = (scanFetchProc)_pixman_image_get_scanline_64_generic;
}

PIXMAN_EXPORT pixman_image_t *
pixman_image_create_linear_gradient (pixman_point_fixed_t         *p1,
				     pixman_point_fixed_t         *p2,
				     const pixman_gradient_stop_t *stops,
				     int                           n_stops)
{
    pixman_image_t *image;
    linear_gradient_t *linear;
    
    return_val_if_fail (n_stops >= 2, NULL);
    
    image = _pixman_image_allocate();
    
    if (!image)
	return NULL;
    
    linear = &image->linear;
    
    if (!_pixman_init_gradient (&linear->common, stops, n_stops))
    {
	free (image);
	return NULL;
    }
    
    linear->p1 = *p1;
    linear->p2 = *p2;
    
    image->type = LINEAR;
    image->source.class = SOURCE_IMAGE_CLASS_UNKNOWN;
    image->common.classify = linear_gradient_classify;
    image->common.property_changed = linear_gradient_property_changed;

    linear_gradient_property_changed (image);
    
    return image;
}