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+// Copyright 2010 Google Inc. All Rights Reserved.
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
+// Entropy encoding (Huffman) utilities.
+
+#ifndef BROTLI_ENC_ENTROPY_ENCODE_H_
+#define BROTLI_ENC_ENTROPY_ENCODE_H_
+
+#include <stdint.h>
+#include <string.h>
+#include "./histogram.h"
+#include "./prefix.h"
+
+namespace brotli {
+
+// 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.
+//
+// See http://en.wikipedia.org/wiki/Huffman_coding
+void CreateHuffmanTree(const int *data,
+ const int length,
+ const int tree_limit,
+ uint8_t *depth);
+
+// Change the population counts in a way that the consequent
+// Hufmann 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.
+int OptimizeHuffmanCountsForRle(int length, int* counts);
+
+
+// Write a huffman tree from bit depths into the bitstream representation
+// of a Huffman tree. The generated Huffman tree is to be compressed once
+// more using a Huffman tree
+void WriteHuffmanTree(const uint8_t* depth, const int length,
+ uint8_t* tree,
+ uint8_t* extra_bits_data,
+ int* huffman_tree_size);
+
+// Get the actual bit values for a tree of bit depths.
+void ConvertBitDepthsToSymbols(const uint8_t *depth, int len, uint16_t *bits);
+
+template<int kSize>
+struct EntropyCode {
+ // How many bits for symbol.
+ uint8_t depth_[kSize];
+ // Actual bits used to represent the symbol.
+ uint16_t bits_[kSize];
+ // How many non-zero depth.
+ int count_;
+ // First four symbols with non-zero depth.
+ int symbols_[4];
+};
+
+template<int kSize>
+void BuildEntropyCode(const Histogram<kSize>& histogram,
+ const int tree_limit,
+ const int alphabet_size,
+ EntropyCode<kSize>* code) {
+ memset(code->depth_, 0, sizeof(code->depth_));
+ memset(code->bits_, 0, sizeof(code->bits_));
+ memset(code->symbols_, 0, sizeof(code->symbols_));
+ code->count_ = 0;
+ if (histogram.total_count_ == 0) return;
+ for (int i = 0; i < kSize; ++i) {
+ if (histogram.data_[i] > 0) {
+ if (code->count_ < 4) code->symbols_[code->count_] = i;
+ ++code->count_;
+ }
+ }
+ if (alphabet_size >= 50 && code->count_ >= 16) {
+ int counts[kSize];
+ memcpy(counts, &histogram.data_[0], sizeof(counts[0]) * kSize);
+ OptimizeHuffmanCountsForRle(alphabet_size, counts);
+ CreateHuffmanTree(counts, alphabet_size, tree_limit, &code->depth_[0]);
+ } else {
+ CreateHuffmanTree(&histogram.data_[0], alphabet_size, tree_limit,
+ &code->depth_[0]);
+ }
+ ConvertBitDepthsToSymbols(&code->depth_[0], alphabet_size, &code->bits_[0]);
+}
+
+static const int kCodeLengthCodes = 18;
+
+// Literal entropy code.
+typedef EntropyCode<256> EntropyCodeLiteral;
+// Prefix entropy codes.
+typedef EntropyCode<kNumCommandPrefixes> EntropyCodeCommand;
+typedef EntropyCode<kNumDistancePrefixes> EntropyCodeDistance;
+typedef EntropyCode<kNumBlockLenPrefixes> EntropyCodeBlockLength;
+// Context map entropy code, 256 Huffman tree indexes + 16 run length codes.
+typedef EntropyCode<272> EntropyCodeContextMap;
+// Block type entropy code, 256 block types + 2 special symbols.
+typedef EntropyCode<258> EntropyCodeBlockType;
+
+} // namespace brotli
+
+#endif // BROTLI_ENC_ENTROPY_ENCODE_H_