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 0000000000..9618e1d359
--- /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);
+
+BROTLI_INTERNAL extern const size_t kBrotliShellGaps[6];
+/* 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) {
+  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 = kBrotliShellGaps[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_ */