#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)
+static pixman_bool_t
+linear_gradient_is_horizontal (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;
double inc;
- source_image_class_t class;
-
- class = SOURCE_IMAGE_CLASS_UNKNOWN;
if (image->common.transform)
{
image->common.transform->matrix[2][1] != 0 ||
image->common.transform->matrix[2][2] == 0)
{
- return class;
+ return FALSE;
}
v.vector[0] = image->common.transform->matrix[0][1];
l = dx * dx + dy * dy;
if (l == 0)
- return class;
+ return FALSE;
/*
* compute how much the input of the gradient walked changes
/* check that casting to integer would result in 0 */
if (-1 < inc && inc < 1)
- class = SOURCE_IMAGE_CLASS_HORIZONTAL;
+ return TRUE;
- return class;
+ return FALSE;
}
static uint32_t *
uint8_t *buffer,
iter_flags_t flags)
{
- if (linear_gradient_classify (image, x, y, width, height) ==
- SOURCE_IMAGE_CLASS_HORIZONTAL)
+ if (linear_gradient_is_horizontal (image, x, y, width, height))
{
if (flags & ITER_NARROW)
linear_get_scanline_narrow (iter, NULL);
linear->p2 = *p2;
image->type = LINEAR;
- image->common.classify = linear_gradient_classify;
return image;
}