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/*
* Copyright © 2000 SuSE, Inc.
* Copyright © 2007 Red Hat, Inc.
* Copyright © 2000 Keith Packard, member of The XFree86 Project, Inc.
* 2005 Lars Knoll & Zack Rusin, Trolltech
*
* 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 Keith Packard not be used in
* advertising or publicity pertaining to distribution of the software without
* specific, written prior permission. Keith Packard makes no
* representations about the suitability of this software for any purpose. It
* is provided "as is" without express or implied warranty.
*
* THE COPYRIGHT HOLDERS DISCLAIM ALL WARRANTIES WITH REGARD TO THIS
* SOFTWARE, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND
* FITNESS, IN NO EVENT SHALL THE COPYRIGHT HOLDERS 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.
*/
#ifdef HAVE_CONFIG_H
#include <config.h>
#endif
#include <stdlib.h>
#include "pixman-private.h"
static source_image_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_get_scanline_32 (pixman_image_t *image,
int x,
int y,
int width,
uint32_t * buffer,
const uint32_t *mask,
uint32_t mask_bits)
{
pixman_vector_t v, unit;
pixman_fixed_32_32_t l;
pixman_fixed_48_16_t dx, dy, a, b, off;
gradient_t *gradient = (gradient_t *)image;
source_image_t *source = (source_image_t *)image;
linear_gradient_t *linear = (linear_gradient_t *)image;
uint32_t *end = buffer + width;
pixman_gradient_walker_t walker;
_pixman_gradient_walker_init (&walker, gradient, source->common.repeat);
/* reference point is the center of the pixel */
v.vector[0] = pixman_int_to_fixed (x) + pixman_fixed_1 / 2;
v.vector[1] = pixman_int_to_fixed (y) + pixman_fixed_1 / 2;
v.vector[2] = pixman_fixed_1;
if (source->common.transform)
{
if (!pixman_transform_point_3d (source->common.transform, &v))
return;
unit.vector[0] = source->common.transform->matrix[0][0];
unit.vector[1] = source->common.transform->matrix[1][0];
unit.vector[2] = source->common.transform->matrix[2][0];
}
else
{
unit.vector[0] = pixman_fixed_1;
unit.vector[1] = 0;
unit.vector[2] = 0;
}
dx = linear->p2.x - linear->p1.x;
dy = linear->p2.y - linear->p1.y;
l = dx * dx + dy * dy;
if (l != 0)
{
a = (dx << 32) / l;
b = (dy << 32) / l;
off = (-a * linear->p1.x
-b * linear->p1.y) >> 16;
}
if (l == 0 || (unit.vector[2] == 0 && v.vector[2] == pixman_fixed_1))
{
pixman_fixed_48_16_t inc, t;
/* affine transformation only */
if (l == 0)
{
t = 0;
inc = 0;
}
else
{
t = ((a * v.vector[0] + b * v.vector[1]) >> 16) + off;
inc = (a * unit.vector[0] + b * unit.vector[1]) >> 16;
}
if (source->class == SOURCE_IMAGE_CLASS_VERTICAL)
{
register uint32_t color;
color = _pixman_gradient_walker_pixel (&walker, t);
while (buffer < end)
*buffer++ = color;
}
else
{
if (!mask)
{
while (buffer < end)
{
*buffer++ = _pixman_gradient_walker_pixel (&walker, t);
t += inc;
}
}
else
{
while (buffer < end)
{
if (*mask++ & mask_bits)
*buffer = _pixman_gradient_walker_pixel (&walker, t);
buffer++;
t += inc;
}
}
}
}
else
{
/* projective transformation */
pixman_fixed_48_16_t t;
if (source->class == SOURCE_IMAGE_CLASS_VERTICAL)
{
register uint32_t color;
if (v.vector[2] == 0)
{
t = 0;
}
else
{
pixman_fixed_48_16_t x, y;
x = ((pixman_fixed_48_16_t) v.vector[0] << 16) / v.vector[2];
y = ((pixman_fixed_48_16_t) v.vector[1] << 16) / v.vector[2];
t = ((a * x + b * y) >> 16) + off;
}
color = _pixman_gradient_walker_pixel (&walker, t);
while (buffer < end)
*buffer++ = color;
}
else
{
while (buffer < end)
{
if (!mask || *mask++ & mask_bits)
{
if (v.vector[2] == 0)
{
t = 0;
}
else
{
pixman_fixed_48_16_t x, y;
x = ((pixman_fixed_48_16_t)v.vector[0] << 16) / v.vector[2];
y = ((pixman_fixed_48_16_t)v.vector[1] << 16) / v.vector[2];
t = ((a * x + b * y) >> 16) + off;
}
*buffer = _pixman_gradient_walker_pixel (&walker, t);
}
++buffer;
v.vector[0] += unit.vector[0];
v.vector[1] += unit.vector[1];
v.vector[2] += unit.vector[2];
}
}
}
}
static void
linear_gradient_property_changed (pixman_image_t *image)
{
image->common.get_scanline_32 = linear_gradient_get_scanline_32;
image->common.get_scanline_64 = _pixman_image_get_scanline_generic_64;
}
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;
return image;
}