summaryrefslogtreecommitdiffstats
path: root/modules/brotli/enc/entropy_encode.h
diff options
context:
space:
mode:
Diffstat (limited to 'modules/brotli/enc/entropy_encode.h')
-rw-r--r--modules/brotli/enc/entropy_encode.h122
1 files changed, 122 insertions, 0 deletions
diff --git a/modules/brotli/enc/entropy_encode.h b/modules/brotli/enc/entropy_encode.h
new file mode 100644
index 000000000..f23d9c379
--- /dev/null
+++ b/modules/brotli/enc/entropy_encode.h
@@ -0,0 +1,122 @@
+/* Copyright 2010 Google Inc. All Rights Reserved.
+
+ Distributed under MIT license.
+ See file LICENSE for detail or copy at https://opensource.org/licenses/MIT
+*/
+
+/* Entropy encoding (Huffman) utilities. */
+
+#ifndef BROTLI_ENC_ENTROPY_ENCODE_H_
+#define BROTLI_ENC_ENTROPY_ENCODE_H_
+
+#include "../common/platform.h"
+#include <brotli/types.h>
+
+#if defined(__cplusplus) || defined(c_plusplus)
+extern "C" {
+#endif
+
+/* A node of a Huffman tree. */
+typedef struct HuffmanTree {
+ uint32_t total_count_;
+ int16_t index_left_;
+ int16_t index_right_or_value_;
+} HuffmanTree;
+
+static BROTLI_INLINE void InitHuffmanTree(HuffmanTree* self, uint32_t count,
+ int16_t left, int16_t right) {
+ self->total_count_ = count;
+ self->index_left_ = left;
+ self->index_right_or_value_ = right;
+}
+
+/* Returns 1 is assignment of depths succeeded, otherwise 0. */
+BROTLI_INTERNAL BROTLI_BOOL BrotliSetDepth(
+ int p, HuffmanTree* pool, uint8_t* depth, int max_depth);
+
+/* This function will create a Huffman tree.
+
+ The (data,length) contains the population counts.
+ The tree_limit is the maximum bit depth of the Huffman codes.
+
+ The depth contains the tree, i.e., how many bits are used for
+ the symbol.
+
+ The actual Huffman tree is constructed in the tree[] array, which has to
+ be at least 2 * length + 1 long.
+
+ See http://en.wikipedia.org/wiki/Huffman_coding */
+BROTLI_INTERNAL void BrotliCreateHuffmanTree(const uint32_t* data,
+ const size_t length,
+ const int tree_limit,
+ HuffmanTree* tree,
+ uint8_t* depth);
+
+/* Change the population counts in a way that the consequent
+ Huffman tree compression, especially its RLE-part will be more
+ likely to compress this data more efficiently.
+
+ length contains the size of the histogram.
+ counts contains the population counts.
+ good_for_rle is a buffer of at least length size */
+BROTLI_INTERNAL void BrotliOptimizeHuffmanCountsForRle(
+ size_t length, uint32_t* counts, uint8_t* good_for_rle);
+
+/* Write a Huffman tree from bit depths into the bit-stream representation
+ of a Huffman tree. The generated Huffman tree is to be compressed once
+ more using a Huffman tree */
+BROTLI_INTERNAL void BrotliWriteHuffmanTree(const uint8_t* depth,
+ size_t num,
+ size_t* tree_size,
+ uint8_t* tree,
+ uint8_t* extra_bits_data);
+
+/* Get the actual bit values for a tree of bit depths. */
+BROTLI_INTERNAL void BrotliConvertBitDepthsToSymbols(const uint8_t* depth,
+ size_t len,
+ uint16_t* bits);
+
+/* Input size optimized Shell sort. */
+typedef BROTLI_BOOL (*HuffmanTreeComparator)(
+ const HuffmanTree*, const HuffmanTree*);
+static BROTLI_INLINE void SortHuffmanTreeItems(HuffmanTree* items,
+ const size_t n, HuffmanTreeComparator comparator) {
+ static const size_t gaps[] = {132, 57, 23, 10, 4, 1};
+ if (n < 13) {
+ /* Insertion sort. */
+ size_t i;
+ for (i = 1; i < n; ++i) {
+ HuffmanTree tmp = items[i];
+ size_t k = i;
+ size_t j = i - 1;
+ while (comparator(&tmp, &items[j])) {
+ items[k] = items[j];
+ k = j;
+ if (!j--) break;
+ }
+ items[k] = tmp;
+ }
+ return;
+ } else {
+ /* Shell sort. */
+ int g = n < 57 ? 2 : 0;
+ for (; g < 6; ++g) {
+ size_t gap = gaps[g];
+ size_t i;
+ for (i = gap; i < n; ++i) {
+ size_t j = i;
+ HuffmanTree tmp = items[i];
+ for (; j >= gap && comparator(&tmp, &items[j - gap]); j -= gap) {
+ items[j] = items[j - gap];
+ }
+ items[j] = tmp;
+ }
+ }
+ }
+}
+
+#if defined(__cplusplus) || defined(c_plusplus)
+} /* extern "C" */
+#endif
+
+#endif /* BROTLI_ENC_ENTROPY_ENCODE_H_ */