Add brotli compressor
This commit is for the encoder for brotli compression format. Brotli is a generic byte-level compression algorithm.
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// Copyright 2013 Google Inc. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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//
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// Function to find backward reference copies.
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#include "./backward_references.h"
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#include <algorithm>
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#include <vector>
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#include "./command.h"
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#include "./hash.h"
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#include "./literal_cost.h"
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namespace brotli {
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void CreateBackwardReferences(const uint8_t* data,
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int length,
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std::vector<Command>* commands) {
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HashLongestMatch<13,11> *hasher = new HashLongestMatch<13,11>;
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float *literal_cost = new float[length];
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EstimateBitCostsForLiterals(length, data, literal_cost);
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hasher->SetLiteralCost(literal_cost);
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// Length heuristic that seems to help probably by better selection
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// of lazy matches of similar lengths.
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int insert_length = 0;
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size_t i = 0;
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double average_cost = 0.0;
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for (int i = 0; i < length; ++i) {
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average_cost += literal_cost[i];
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}
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average_cost /= length;
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hasher->set_average_cost(average_cost);
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while (i + 2 < length) {
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size_t best_len = 0;
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size_t best_dist = 0;
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double best_score = 0;
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const size_t max_distance = std::min(i, 1UL << 24);
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hasher->set_insert_length(insert_length);
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bool match_found = hasher->FindLongestMatch(
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data, i, length - i, max_distance,
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&best_len, &best_dist, &best_score);
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if (match_found) {
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// Found a match. Let's look for something even better ahead.
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int delayed_backward_references_in_row = 0;
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while (i + 4 < length &&
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delayed_backward_references_in_row < 4) {
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size_t best_len_2 = 0;
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size_t best_dist_2 = 0;
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double best_score_2 = 0;
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hasher->Store(data + i, i);
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match_found = hasher->FindLongestMatch(
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data, i + 1, length - i - 1, max_distance,
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&best_len_2, &best_dist_2, &best_score_2);
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double cost_diff_lazy = 0;
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if (best_len >= 4) {
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cost_diff_lazy += hasher->literal_cost(i + 4) - average_cost;
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}
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{
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const int tail_length = best_len_2 - best_len + 1;
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for (int k = 0; k < tail_length; ++k) {
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cost_diff_lazy -= hasher->literal_cost(i + best_len + k) -
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average_cost;
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}
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}
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// If we are not inserting any symbols, inserting one is more
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// expensive than if we were inserting symbols anyways.
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if (insert_length < 1) {
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cost_diff_lazy += 1.0;
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}
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// Add bias to slightly avoid lazy matching.
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cost_diff_lazy += 2.0 + delayed_backward_references_in_row * 0.2;
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cost_diff_lazy += 0.04 * hasher->literal_cost(i);
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if (match_found && best_score_2 >= best_score + cost_diff_lazy) {
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// Ok, let's just write one byte for now and start a match from the
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// next byte.
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++insert_length;
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++delayed_backward_references_in_row;
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best_len = best_len_2;
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best_dist = best_dist_2;
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best_score = best_score_2;
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i++;
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} else {
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break;
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}
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}
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Command cmd;
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cmd.insert_length_ = insert_length;
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cmd.copy_length_ = best_len;
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cmd.copy_distance_ = best_dist;
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commands->push_back(cmd);
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hasher->set_last_distance(best_dist);
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insert_length = 0;
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++i;
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for (int j = 1; j < best_len; ++j) {
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if (i + 2 < length) {
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hasher->Store(data + i, i);
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}
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++i;
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}
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} else {
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++insert_length;
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hasher->Store(data + i, i);
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++i;
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}
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}
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insert_length += (length - i);
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if (insert_length > 0) {
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Command cmd;
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cmd.insert_length_ = insert_length;
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cmd.copy_length_ = 0;
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cmd.copy_distance_ = 0;
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commands->push_back(cmd);
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}
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delete[] literal_cost;
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delete hasher;
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}
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} // namespace brotli
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