mirror of
https://git.code.sf.net/p/libpng/code.git
synced 2025-07-10 18:04:09 +02:00
[libpng17] Removed WRITE_WEIGHTED_FILTERED code, to save a few kbytes of the
compiled library size. It never worked properly and as far as we can tell, no one uses it. The png_set_filter_heuristics() and png_set_filter_heuristics_fixed() APIs are retained but deprecated.
This commit is contained in:
269
pngwrite.c
269
pngwrite.c
@@ -929,10 +929,6 @@ png_write_flush(png_structrp png_ptr)
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}
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#endif /* WRITE_FLUSH */
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#ifdef PNG_WRITE_WEIGHTED_FILTER_SUPPORTED
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static void png_reset_filter_heuristics(png_structrp png_ptr);/* forward decl */
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#endif
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/* Free any memory used in png_ptr struct without freeing the struct itself. */
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static void
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png_write_destroy(png_structrp png_ptr)
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@@ -956,15 +952,6 @@ png_write_destroy(png_structrp png_ptr)
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png_ptr->tst_row = NULL;
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#endif
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#ifdef PNG_WRITE_WEIGHTED_FILTER_SUPPORTED
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/* Use this to save a little code space, it doesn't free the filter_costs */
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png_reset_filter_heuristics(png_ptr);
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png_free(png_ptr, png_ptr->filter_costs);
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png_free(png_ptr, png_ptr->inv_filter_costs);
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png_ptr->filter_costs = NULL;
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png_ptr->inv_filter_costs = NULL;
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#endif
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#ifdef PNG_SET_UNKNOWN_CHUNKS_SUPPORTED
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png_free(png_ptr, png_ptr->chunk_list);
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png_ptr->chunk_list = NULL;
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@@ -1119,255 +1106,31 @@ png_set_filter(png_structrp png_ptr, int method, int filters)
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* better compression.
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*/
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#ifdef PNG_WRITE_WEIGHTED_FILTER_SUPPORTED /* GRR 970116 */
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/* Convenience reset API. */
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static void
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png_reset_filter_heuristics(png_structrp png_ptr)
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{
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/* Clear out any old values in the 'weights' - this must be done because if
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* the app calls set_filter_heuristics multiple times with different
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* 'num_weights' values we would otherwise potentially have wrong sized
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* arrays.
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*/
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png_ptr->num_prev_filters = 0;
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png_ptr->heuristic_method = PNG_FILTER_HEURISTIC_UNWEIGHTED;
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if (png_ptr->prev_filters != NULL)
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{
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png_bytep old = png_ptr->prev_filters;
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png_ptr->prev_filters = NULL;
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png_free(png_ptr, old);
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}
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if (png_ptr->filter_weights != NULL)
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{
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png_uint_16p old = png_ptr->filter_weights;
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png_ptr->filter_weights = NULL;
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png_free(png_ptr, old);
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}
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if (png_ptr->inv_filter_weights != NULL)
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{
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png_uint_16p old = png_ptr->inv_filter_weights;
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png_ptr->inv_filter_weights = NULL;
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png_free(png_ptr, old);
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}
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/* Leave the filter_costs - this array is fixed size. */
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}
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static int
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png_init_filter_heuristics(png_structrp png_ptr, int heuristic_method,
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int num_weights)
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{
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if (png_ptr == NULL)
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return 0;
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/* Clear out the arrays */
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png_reset_filter_heuristics(png_ptr);
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/* Check arguments; the 'reset' function makes the correct settings for the
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* unweighted case, but we must handle the weight case by initializing the
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* arrays for the caller.
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*/
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if (heuristic_method == PNG_FILTER_HEURISTIC_WEIGHTED)
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{
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int i;
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if (num_weights > 0)
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{
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png_ptr->prev_filters = (png_bytep)png_malloc(png_ptr,
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(png_uint_32)((sizeof (png_byte)) * num_weights));
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/* To make sure that the weighting starts out fairly */
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for (i = 0; i < num_weights; i++)
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{
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png_ptr->prev_filters[i] = 255;
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}
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png_ptr->filter_weights = (png_uint_16p)png_malloc(png_ptr,
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(png_uint_32)((sizeof (png_uint_16)) * num_weights));
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png_ptr->inv_filter_weights = (png_uint_16p)png_malloc(png_ptr,
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(png_uint_32)((sizeof (png_uint_16)) * num_weights));
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for (i = 0; i < num_weights; i++)
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{
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png_ptr->inv_filter_weights[i] =
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png_ptr->filter_weights[i] = PNG_WEIGHT_FACTOR;
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}
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/* Safe to set this now */
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png_ptr->num_prev_filters = png_check_byte(png_ptr, num_weights);
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}
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/* If, in the future, there are other filter methods, this would
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* need to be based on png_ptr->filter.
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*/
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if (png_ptr->filter_costs == NULL)
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{
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png_ptr->filter_costs = (png_uint_16p)png_malloc(png_ptr,
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(png_uint_32)((sizeof (png_uint_16)) * PNG_FILTER_VALUE_LAST));
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png_ptr->inv_filter_costs = (png_uint_16p)png_malloc(png_ptr,
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(png_uint_32)((sizeof (png_uint_16)) * PNG_FILTER_VALUE_LAST));
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}
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for (i = 0; i < PNG_FILTER_VALUE_LAST; i++)
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{
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png_ptr->inv_filter_costs[i] =
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png_ptr->filter_costs[i] = PNG_COST_FACTOR;
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}
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/* All the arrays are inited, safe to set this: */
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png_ptr->heuristic_method = PNG_FILTER_HEURISTIC_WEIGHTED;
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/* Return the 'ok' code. */
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return 1;
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}
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else if (heuristic_method == PNG_FILTER_HEURISTIC_DEFAULT ||
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heuristic_method == PNG_FILTER_HEURISTIC_UNWEIGHTED)
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{
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return 1;
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}
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else
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{
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png_warning(png_ptr, "Unknown filter heuristic method");
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return 0;
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}
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}
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/* Provide floating and fixed point APIs */
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#ifdef PNG_FLOATING_POINT_SUPPORTED
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static png_uint_16
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u16_from_fp(png_const_structrp png_ptr, int position, double fp)
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{
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/* Utility: given a double make sure it fits into a PNG 16-bit unsigned
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* value.
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*/
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if (fp >= 0 && fp < 65536)
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return (png_uint_16)/*SAFE*/fp;
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png_affirm(png_ptr, param_deb("fp to u16 overflow") position);
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}
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#define u16_from_fp(pp, fp) (u16_from_fp((pp), PNG_SRC_LINE, (fp)))
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void PNGAPI
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png_set_filter_heuristics(png_structrp png_ptr, int heuristic_method,
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PNG_FUNCTION(void,PNGAPI
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png_set_filter_heuristics,(png_structrp png_ptr, int heuristic_method,
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int num_weights, png_const_doublep filter_weights,
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png_const_doublep filter_costs)
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png_const_doublep filter_costs),PNG_DEPRECATED)
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{
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png_debug(1, "in png_set_filter_heuristics");
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/* The internal API allocates all the arrays and ensures that the elements of
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* those arrays are set to the default value.
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*/
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if (png_init_filter_heuristics(png_ptr, heuristic_method, num_weights) == 0)
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return;
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/* If using the weighted method copy in the weights. */
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if (heuristic_method == PNG_FILTER_HEURISTIC_WEIGHTED)
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{
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int i;
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for (i = 0; i < num_weights; i++)
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{
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if (filter_weights[i] <= 0.0)
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{
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png_ptr->inv_filter_weights[i] =
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png_ptr->filter_weights[i] = PNG_WEIGHT_FACTOR;
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}
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else
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{
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png_ptr->inv_filter_weights[i] =
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u16_from_fp(png_ptr, PNG_WEIGHT_FACTOR*filter_weights[i]+.5);
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png_ptr->filter_weights[i] =
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u16_from_fp(png_ptr, PNG_WEIGHT_FACTOR/filter_weights[i]+.5);
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}
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}
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/* Here is where we set the relative costs of the different filters. We
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* should take the desired compression level into account when setting
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* the costs, so that Paeth, for instance, has a high relative cost at low
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* compression levels, while it has a lower relative cost at higher
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* compression settings. The filter types are in order of increasing
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* relative cost, so it would be possible to do this with an algorithm.
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*/
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for (i = 0; i < PNG_FILTER_VALUE_LAST; i++) if (filter_costs[i] >= 1.0)
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{
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png_ptr->inv_filter_costs[i] =
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u16_from_fp(png_ptr, PNG_COST_FACTOR / filter_costs[i] + .5);
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png_ptr->filter_costs[i] =
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u16_from_fp(png_ptr, PNG_COST_FACTOR * filter_costs[i] + .5);
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}
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}
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PNG_UNUSED(png_ptr)
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PNG_UNUSED(heuristic_method)
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PNG_UNUSED(num_weights)
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PNG_UNUSED(filter_weights)
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PNG_UNUSED(filter_costs)
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}
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#endif /* FLOATING_POINT */
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#ifdef PNG_FIXED_POINT_SUPPORTED
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void PNGAPI
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png_set_filter_heuristics_fixed(png_structrp png_ptr, int heuristic_method,
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PNG_FUNCTION(void,PNGAPI
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png_set_filter_heuristics_fixed,(png_structrp png_ptr, int heuristic_method,
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int num_weights, png_const_fixed_point_p filter_weights,
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png_const_fixed_point_p filter_costs)
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png_const_fixed_point_p filter_costs),PNG_DEPRECATED)
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{
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png_debug(1, "in png_set_filter_heuristics_fixed");
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/* The internal API allocates all the arrays and ensures that the elements of
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* those arrays are set to the default value.
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*/
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if (png_init_filter_heuristics(png_ptr, heuristic_method, num_weights) == 0)
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return;
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/* If using the weighted method copy in the weights. */
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if (heuristic_method == PNG_FILTER_HEURISTIC_WEIGHTED)
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{
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int i;
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for (i = 0; i < num_weights; i++)
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{
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if (filter_weights[i] <= 0)
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{
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png_ptr->inv_filter_weights[i] =
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png_ptr->filter_weights[i] = PNG_WEIGHT_FACTOR;
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}
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else
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{
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png_ptr->inv_filter_weights[i] = png_check_u16(png_ptr,
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(PNG_WEIGHT_FACTOR*filter_weights[i]+PNG_FP_HALF)/PNG_FP_1);
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png_ptr->filter_weights[i] = png_check_u16(png_ptr,
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(PNG_WEIGHT_FACTOR*PNG_FP_1+(filter_weights[i]/2))/
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filter_weights[i]);
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}
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}
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/* Here is where we set the relative costs of the different filters. We
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* should take the desired compression level into account when setting
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* the costs, so that Paeth, for instance, has a high relative cost at low
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* compression levels, while it has a lower relative cost at higher
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* compression settings. The filter types are in order of increasing
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* relative cost, so it would be possible to do this with an algorithm.
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*/
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for (i = 0; i < PNG_FILTER_VALUE_LAST; i++)
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if (filter_costs[i] >= PNG_FP_1)
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{
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png_uint_32 tmp;
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/* Use a 32 bit unsigned temporary here because otherwise the
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* intermediate value will be a 32 bit *signed* integer (ANSI rules)
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* and this will get the wrong answer on division.
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*/
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tmp = PNG_COST_FACTOR*PNG_FP_1 + (filter_costs[i]/2);
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tmp /= filter_costs[i];
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png_ptr->inv_filter_costs[i] = png_check_u16(png_ptr, tmp);
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tmp = PNG_COST_FACTOR * filter_costs[i] + PNG_FP_HALF;
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tmp /= PNG_FP_1;
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png_ptr->filter_costs[i] = png_check_u16(png_ptr, tmp);
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}
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}
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PNG_UNUSED(png_ptr)
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PNG_UNUSED(heuristic_method)
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PNG_UNUSED(num_weights)
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PNG_UNUSED(filter_weights)
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PNG_UNUSED(filter_costs)
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}
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#endif /* FIXED_POINT */
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#endif /* WRITE_WEIGHTED_FILTER */
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