brotli/enc/metablock.c

/* Copyright 2015 Google Inc. All Rights Reserved.

   Distributed under MIT license.
   See file LICENSE for detail or copy at https://opensource.org/licenses/MIT
*/

/* Algorithms for distributing the literals and commands of a metablock between
   block types and contexts. */

#include "./metablock.h"

#include "../common/constants.h"
#include <brotli/types.h>
#include "./bit_cost.h"
#include "./block_splitter.h"
#include "./cluster.h"
#include "./context.h"
#include "./entropy_encode.h"
#include "./histogram.h"
#include "./memory.h"
#include "./port.h"
#include "./quality.h"

#if defined(__cplusplus) || defined(c_plusplus)
extern "C" {
#endif

void BrotliBuildMetaBlock(MemoryManager* m,
                          const uint8_t* ringbuffer,
                          const size_t pos,
                          const size_t mask,
                          const BrotliEncoderParams* params,
                          uint8_t prev_byte,
                          uint8_t prev_byte2,
                          const Command* cmds,
                          size_t num_commands,
                          ContextType literal_context_mode,
                          MetaBlockSplit* mb) {
  /* Histogram ids need to fit in one byte. */
  static const size_t kMaxNumberOfHistograms = 256;
  HistogramDistance* distance_histograms;
  HistogramLiteral* literal_histograms;
  ContextType* literal_context_modes;
  size_t num_literal_contexts;
  size_t num_distance_contexts;
  size_t i;

  BrotliSplitBlock(m, cmds, num_commands,
                   ringbuffer, pos, mask, params,
                   &mb->literal_split,
                   &mb->command_split,
                   &mb->distance_split);
  if (BROTLI_IS_OOM(m)) return;

  literal_context_modes =
      BROTLI_ALLOC(m, ContextType, mb->literal_split.num_types);
  if (BROTLI_IS_OOM(m)) return;
  for (i = 0; i < mb->literal_split.num_types; ++i) {
    literal_context_modes[i] = literal_context_mode;
  }

  num_literal_contexts =
      mb->literal_split.num_types << BROTLI_LITERAL_CONTEXT_BITS;
  num_distance_contexts =
      mb->distance_split.num_types << BROTLI_DISTANCE_CONTEXT_BITS;
  literal_histograms = BROTLI_ALLOC(m, HistogramLiteral, num_literal_contexts);
  if (BROTLI_IS_OOM(m)) return;
  ClearHistogramsLiteral(literal_histograms, num_literal_contexts);

  assert(mb->command_histograms == 0);
  mb->command_histograms_size = mb->command_split.num_types;
  mb->command_histograms =
      BROTLI_ALLOC(m, HistogramCommand, mb->command_histograms_size);
  if (BROTLI_IS_OOM(m)) return;
  ClearHistogramsCommand(mb->command_histograms, mb->command_histograms_size);
  distance_histograms =
      BROTLI_ALLOC(m, HistogramDistance, num_distance_contexts);
  if (BROTLI_IS_OOM(m)) return;
  ClearHistogramsDistance(distance_histograms, num_distance_contexts);
  BrotliBuildHistogramsWithContext(cmds, num_commands,
      &mb->literal_split, &mb->command_split, &mb->distance_split,
      ringbuffer, pos, mask, prev_byte, prev_byte2, literal_context_modes,
      literal_histograms, mb->command_histograms, distance_histograms);
  BROTLI_FREE(m, literal_context_modes);

  assert(mb->literal_context_map == 0);
  mb->literal_context_map_size =
      mb->literal_split.num_types << BROTLI_LITERAL_CONTEXT_BITS;
  mb->literal_context_map =
      BROTLI_ALLOC(m, uint32_t, mb->literal_context_map_size);
  if (BROTLI_IS_OOM(m)) return;
  assert(mb->literal_histograms == 0);
  mb->literal_histograms_size = mb->literal_context_map_size;
  mb->literal_histograms =
      BROTLI_ALLOC(m, HistogramLiteral, mb->literal_histograms_size);
  if (BROTLI_IS_OOM(m)) return;
  BrotliClusterHistogramsLiteral(m, literal_histograms,
                                 mb->literal_context_map_size,
                                 kMaxNumberOfHistograms,
                                 mb->literal_histograms,
                                 &mb->literal_histograms_size,
                                 mb->literal_context_map);
  if (BROTLI_IS_OOM(m)) return;
  BROTLI_FREE(m, literal_histograms);

  assert(mb->distance_context_map == 0);
  mb->distance_context_map_size =
      mb->distance_split.num_types << BROTLI_DISTANCE_CONTEXT_BITS;
  mb->distance_context_map =
      BROTLI_ALLOC(m, uint32_t, mb->distance_context_map_size);
  if (BROTLI_IS_OOM(m)) return;
  assert(mb->distance_histograms == 0);
  mb->distance_histograms_size = mb->distance_context_map_size;
  mb->distance_histograms =
      BROTLI_ALLOC(m, HistogramDistance, mb->distance_histograms_size);
  if (BROTLI_IS_OOM(m)) return;
  BrotliClusterHistogramsDistance(m, distance_histograms,
                                  mb->distance_context_map_size,
                                  kMaxNumberOfHistograms,
                                  mb->distance_histograms,
                                  &mb->distance_histograms_size,
                                  mb->distance_context_map);
  if (BROTLI_IS_OOM(m)) return;
  BROTLI_FREE(m, distance_histograms);
}

#define FN(X) X ## Literal
#include "./metablock_inc.h"  /* NOLINT(build/include) */
#undef FN

#define FN(X) X ## Command
#include "./metablock_inc.h"  /* NOLINT(build/include) */
#undef FN

#define FN(X) X ## Distance
#include "./metablock_inc.h"  /* NOLINT(build/include) */
#undef FN

void BrotliBuildMetaBlockGreedy(MemoryManager* m,
                                const uint8_t* ringbuffer,
                                size_t pos,
                                size_t mask,
                                const Command *commands,
                                size_t n_commands,
                                MetaBlockSplit* mb) {
  BlockSplitterLiteral lit_blocks;
  BlockSplitterCommand cmd_blocks;
  BlockSplitterDistance dist_blocks;
  size_t num_literals = 0;
  size_t i;
  for (i = 0; i < n_commands; ++i) {
    num_literals += commands[i].insert_len_;
  }

  InitBlockSplitterLiteral(m, &lit_blocks, 256, 512, 400.0, num_literals,
      &mb->literal_split, &mb->literal_histograms,
      &mb->literal_histograms_size);
  if (BROTLI_IS_OOM(m)) return;
  InitBlockSplitterCommand(m, &cmd_blocks, BROTLI_NUM_COMMAND_SYMBOLS, 1024,
      500.0, n_commands, &mb->command_split, &mb->command_histograms,
      &mb->command_histograms_size);
  if (BROTLI_IS_OOM(m)) return;
  InitBlockSplitterDistance(m, &dist_blocks, 64, 512, 100.0, n_commands,
      &mb->distance_split, &mb->distance_histograms,
      &mb->distance_histograms_size);
  if (BROTLI_IS_OOM(m)) return;

  for (i = 0; i < n_commands; ++i) {
    const Command cmd = commands[i];
    size_t j;
    BlockSplitterAddSymbolCommand(&cmd_blocks, cmd.cmd_prefix_);
    for (j = cmd.insert_len_; j != 0; --j) {
      BlockSplitterAddSymbolLiteral(&lit_blocks, ringbuffer[pos & mask]);
      ++pos;
    }
    pos += CommandCopyLen(&cmd);
    if (CommandCopyLen(&cmd) && cmd.cmd_prefix_ >= 128) {
      BlockSplitterAddSymbolDistance(&dist_blocks, cmd.dist_prefix_);
    }
  }

  BlockSplitterFinishBlockLiteral(&lit_blocks, /* is_final = */ BROTLI_TRUE);
  BlockSplitterFinishBlockCommand(&cmd_blocks, /* is_final = */ BROTLI_TRUE);
  BlockSplitterFinishBlockDistance(&dist_blocks, /* is_final = */ BROTLI_TRUE);
}

/* Greedy block splitter for one block category (literal, command or distance).
   Gathers histograms for all context buckets. */
typedef struct ContextBlockSplitter {
  /* Alphabet size of particular block category. */
  size_t alphabet_size_;
  size_t num_contexts_;
  size_t max_block_types_;
  /* We collect at least this many symbols for each block. */
  size_t min_block_size_;
  /* We merge histograms A and B if
       entropy(A+B) < entropy(A) + entropy(B) + split_threshold_,
     where A is the current histogram and B is the histogram of the last or the
     second last block type. */
  double split_threshold_;

  size_t num_blocks_;
  BlockSplit* split_;  /* not owned */
  HistogramLiteral* histograms_;  /* not owned */
  size_t* histograms_size_;  /* not owned */

  /* The number of symbols that we want to collect before deciding on whether
     or not to merge the block with a previous one or emit a new block. */
  size_t target_block_size_;
  /* The number of symbols in the current histogram. */
  size_t block_size_;
  /* Offset of the current histogram. */
  size_t curr_histogram_ix_;
  /* Offset of the histograms of the previous two block types. */
  size_t last_histogram_ix_[2];
  /* Entropy of the previous two block types. */
  double* last_entropy_;
  /* The number of times we merged the current block with the last one. */
  size_t merge_last_count_;
} ContextBlockSplitter;

static void InitContextBlockSplitter(
    MemoryManager* m, ContextBlockSplitter* self, size_t alphabet_size,
    size_t num_contexts, size_t min_block_size, double split_threshold,
    size_t num_symbols, BlockSplit* split, HistogramLiteral** histograms,
    size_t* histograms_size) {
  size_t max_num_blocks = num_symbols / min_block_size + 1;
  size_t max_num_types;

  self->alphabet_size_ = alphabet_size;
  self->num_contexts_ = num_contexts;
  self->max_block_types_ = BROTLI_MAX_NUMBER_OF_BLOCK_TYPES / num_contexts;
  self->min_block_size_ = min_block_size;
  self->split_threshold_ = split_threshold;
  self->num_blocks_ = 0;
  self->split_ = split;
  self->histograms_size_ = histograms_size;
  self->target_block_size_ = min_block_size;
  self->block_size_ = 0;
  self->curr_histogram_ix_ = 0;
  self->merge_last_count_ = 0;

  /* We have to allocate one more histogram than the maximum number of block
     types for the current histogram when the meta-block is too big. */
  max_num_types =
      BROTLI_MIN(size_t, max_num_blocks, self->max_block_types_ + 1);
  BROTLI_ENSURE_CAPACITY(m, uint8_t,
      split->types, split->types_alloc_size, max_num_blocks);
  BROTLI_ENSURE_CAPACITY(m, uint32_t,
      split->lengths, split->lengths_alloc_size, max_num_blocks);
  if (BROTLI_IS_OOM(m)) return;
  split->num_blocks = max_num_blocks;
  self->last_entropy_ = BROTLI_ALLOC(m, double, 2 * num_contexts);
  if (BROTLI_IS_OOM(m)) return;
  assert(*histograms == 0);
  *histograms_size = max_num_types * num_contexts;
  *histograms = BROTLI_ALLOC(m, HistogramLiteral, *histograms_size);
  self->histograms_ = *histograms;
  if (BROTLI_IS_OOM(m)) return;
  /* Clear only current histogram. */
  ClearHistogramsLiteral(&self->histograms_[0], num_contexts);
  self->last_histogram_ix_[0] = self->last_histogram_ix_[1] = 0;
}

static void CleanupContextBlockSplitter(
    MemoryManager* m, ContextBlockSplitter* self) {
  BROTLI_FREE(m, self->last_entropy_);
}

/* Does either of three things:
     (1) emits the current block with a new block type;
     (2) emits the current block with the type of the second last block;
     (3) merges the current block with the last block. */
static void ContextBlockSplitterFinishBlock(
    MemoryManager* m, ContextBlockSplitter* self, BROTLI_BOOL is_final) {
  BlockSplit* split = self->split_;
  const size_t num_contexts = self->num_contexts_;
  double* last_entropy = self->last_entropy_;
  HistogramLiteral* histograms = self->histograms_;

  if (self->block_size_ < self->min_block_size_) {
    self->block_size_ = self->min_block_size_;
  }
  if (self->num_blocks_ == 0) {
    size_t i;
    /* Create first block. */
    split->lengths[0] = (uint32_t)self->block_size_;
    split->types[0] = 0;

    for (i = 0; i < num_contexts; ++i) {
      last_entropy[i] =
          BitsEntropy(histograms[i].data_, self->alphabet_size_);
      last_entropy[num_contexts + i] = last_entropy[i];
    }
    ++self->num_blocks_;
    ++split->num_types;
    self->curr_histogram_ix_ += num_contexts;
    if (self->curr_histogram_ix_ < *self->histograms_size_) {
      ClearHistogramsLiteral(
          &self->histograms_[self->curr_histogram_ix_], self->num_contexts_);
    }
    self->block_size_ = 0;
  } else if (self->block_size_ > 0) {
    /* Try merging the set of histograms for the current block type with the
       respective set of histograms for the last and second last block types.
       Decide over the split based on the total reduction of entropy across
       all contexts. */
    double* entropy = BROTLI_ALLOC(m, double, num_contexts);
    HistogramLiteral* combined_histo =
        BROTLI_ALLOC(m, HistogramLiteral, 2 * num_contexts);
    double* combined_entropy = BROTLI_ALLOC(m, double, 2 * num_contexts);
    double diff[2] = { 0.0 };
    size_t i;
    if (BROTLI_IS_OOM(m)) return;
    for (i = 0; i < num_contexts; ++i) {
      size_t curr_histo_ix = self->curr_histogram_ix_ + i;
      size_t j;
      entropy[i] = BitsEntropy(histograms[curr_histo_ix].data_,
                               self->alphabet_size_);
      for (j = 0; j < 2; ++j) {
        size_t jx = j * num_contexts + i;
        size_t last_histogram_ix = self->last_histogram_ix_[j] + i;
        combined_histo[jx] = histograms[curr_histo_ix];
        HistogramAddHistogramLiteral(&combined_histo[jx],
            &histograms[last_histogram_ix]);
        combined_entropy[jx] = BitsEntropy(
            &combined_histo[jx].data_[0], self->alphabet_size_);
        diff[j] += combined_entropy[jx] - entropy[i] - last_entropy[jx];
      }
    }

    if (split->num_types < self->max_block_types_ &&
        diff[0] > self->split_threshold_ &&
        diff[1] > self->split_threshold_) {
      /* Create new block. */
      split->lengths[self->num_blocks_] = (uint32_t)self->block_size_;
      split->types[self->num_blocks_] = (uint8_t)split->num_types;
      self->last_histogram_ix_[1] = self->last_histogram_ix_[0];
      self->last_histogram_ix_[0] = split->num_types * num_contexts;
      for (i = 0; i < num_contexts; ++i) {
        last_entropy[num_contexts + i] = last_entropy[i];
        last_entropy[i] = entropy[i];
      }
      ++self->num_blocks_;
      ++split->num_types;
      self->curr_histogram_ix_ += num_contexts;
      if (self->curr_histogram_ix_ < *self->histograms_size_) {
        ClearHistogramsLiteral(
            &self->histograms_[self->curr_histogram_ix_], self->num_contexts_);
      }
      self->block_size_ = 0;
      self->merge_last_count_ = 0;
      self->target_block_size_ = self->min_block_size_;
    } else if (diff[1] < diff[0] - 20.0) {
      /* Combine this block with second last block. */
      split->lengths[self->num_blocks_] = (uint32_t)self->block_size_;
      split->types[self->num_blocks_] = split->types[self->num_blocks_ - 2];
      BROTLI_SWAP(size_t, self->last_histogram_ix_, 0, 1);
      for (i = 0; i < num_contexts; ++i) {
        histograms[self->last_histogram_ix_[0] + i] =
            combined_histo[num_contexts + i];
        last_entropy[num_contexts + i] = last_entropy[i];
        last_entropy[i] = combined_entropy[num_contexts + i];
        HistogramClearLiteral(&histograms[self->curr_histogram_ix_ + i]);
      }
      ++self->num_blocks_;
      self->block_size_ = 0;
      self->merge_last_count_ = 0;
      self->target_block_size_ = self->min_block_size_;
    } else {
      /* Combine this block with last block. */
      split->lengths[self->num_blocks_ - 1] += (uint32_t)self->block_size_;
      for (i = 0; i < num_contexts; ++i) {
        histograms[self->last_histogram_ix_[0] + i] = combined_histo[i];
        last_entropy[i] = combined_entropy[i];
        if (split->num_types == 1) {
          last_entropy[num_contexts + i] = last_entropy[i];
        }
        HistogramClearLiteral(&histograms[self->curr_histogram_ix_ + i]);
      }
      self->block_size_ = 0;
      if (++self->merge_last_count_ > 1) {
        self->target_block_size_ += self->min_block_size_;
      }
    }
    BROTLI_FREE(m, combined_entropy);
    BROTLI_FREE(m, combined_histo);
    BROTLI_FREE(m, entropy);
  }
  if (is_final) {
    *self->histograms_size_ = split->num_types * num_contexts;
    split->num_blocks = self->num_blocks_;
  }
}

/* Adds the next symbol to the current block type and context. When the
   current block reaches the target size, decides on merging the block. */
static void ContextBlockSplitterAddSymbol(MemoryManager* m,
    ContextBlockSplitter* self, size_t symbol, size_t context) {
  HistogramAddLiteral(&self->histograms_[self->curr_histogram_ix_ + context],
      symbol);
  ++self->block_size_;
  if (self->block_size_ == self->target_block_size_) {
    ContextBlockSplitterFinishBlock(m, self, /* is_final = */ BROTLI_FALSE);
    if (BROTLI_IS_OOM(m)) return;
  }
}

void BrotliBuildMetaBlockGreedyWithContexts(MemoryManager* m,
                                            const uint8_t* ringbuffer,
                                            size_t pos,
                                            size_t mask,
                                            uint8_t prev_byte,
                                            uint8_t prev_byte2,
                                            ContextType literal_context_mode,
                                            size_t num_contexts,
                                            const uint32_t* static_context_map,
                                            const Command *commands,
                                            size_t n_commands,
                                            MetaBlockSplit* mb) {
  ContextBlockSplitter lit_blocks;
  BlockSplitterCommand cmd_blocks;
  BlockSplitterDistance dist_blocks;
  size_t num_literals = 0;
  size_t i;
  for (i = 0; i < n_commands; ++i) {
    num_literals += commands[i].insert_len_;
  }

  InitContextBlockSplitter(m, &lit_blocks, 256, num_contexts, 512, 400.0,
      num_literals, &mb->literal_split, &mb->literal_histograms,
      &mb->literal_histograms_size);
  if (BROTLI_IS_OOM(m)) return;
  InitBlockSplitterCommand(m, &cmd_blocks, BROTLI_NUM_COMMAND_SYMBOLS, 1024,
      500.0, n_commands, &mb->command_split, &mb->command_histograms,
      &mb->command_histograms_size);
  if (BROTLI_IS_OOM(m)) return;
  InitBlockSplitterDistance(m, &dist_blocks, 64, 512, 100.0, n_commands,
      &mb->distance_split, &mb->distance_histograms,
      &mb->distance_histograms_size);
  if (BROTLI_IS_OOM(m)) return;

  for (i = 0; i < n_commands; ++i) {
    const Command cmd = commands[i];
    size_t j;
    BlockSplitterAddSymbolCommand(&cmd_blocks, cmd.cmd_prefix_);
    for (j = cmd.insert_len_; j != 0; --j) {
      size_t context = Context(prev_byte, prev_byte2, literal_context_mode);
      uint8_t literal = ringbuffer[pos & mask];
      ContextBlockSplitterAddSymbol(
          m, &lit_blocks, literal, static_context_map[context]);
      prev_byte2 = prev_byte;
      if (BROTLI_IS_OOM(m)) return;
      prev_byte = literal;
      ++pos;
    }
    pos += CommandCopyLen(&cmd);
    if (CommandCopyLen(&cmd)) {
      prev_byte2 = ringbuffer[(pos - 2) & mask];
      prev_byte = ringbuffer[(pos - 1) & mask];
      if (cmd.cmd_prefix_ >= 128) {
        BlockSplitterAddSymbolDistance(&dist_blocks, cmd.dist_prefix_);
      }
    }
  }

  ContextBlockSplitterFinishBlock(m, &lit_blocks, /* is_final = */ BROTLI_TRUE);
  if (BROTLI_IS_OOM(m)) return;
  CleanupContextBlockSplitter(m, &lit_blocks);
  BlockSplitterFinishBlockCommand(&cmd_blocks, /* is_final = */ BROTLI_TRUE);
  BlockSplitterFinishBlockDistance(&dist_blocks, /* is_final = */ BROTLI_TRUE);

  assert(mb->literal_context_map == 0);
  mb->literal_context_map_size =
      mb->literal_split.num_types << BROTLI_LITERAL_CONTEXT_BITS;
  mb->literal_context_map =
      BROTLI_ALLOC(m, uint32_t, mb->literal_context_map_size);
  if (BROTLI_IS_OOM(m)) return;

  for (i = 0; i < mb->literal_split.num_types; ++i) {
    size_t j;
    for (j = 0; j < (1u << BROTLI_LITERAL_CONTEXT_BITS); ++j) {
      mb->literal_context_map[(i << BROTLI_LITERAL_CONTEXT_BITS) + j] =
          (uint32_t)(i * num_contexts) + static_context_map[j];
    }
  }
}

void BrotliOptimizeHistograms(size_t num_direct_distance_codes,
                              size_t distance_postfix_bits,
                              MetaBlockSplit* mb) {
  uint8_t good_for_rle[BROTLI_NUM_COMMAND_SYMBOLS];
  size_t num_distance_codes;
  size_t i;
  for (i = 0; i < mb->literal_histograms_size; ++i) {
    BrotliOptimizeHuffmanCountsForRle(256, mb->literal_histograms[i].data_,
                                      good_for_rle);
  }
  for (i = 0; i < mb->command_histograms_size; ++i) {
    BrotliOptimizeHuffmanCountsForRle(BROTLI_NUM_COMMAND_SYMBOLS,
                                      mb->command_histograms[i].data_,
                                      good_for_rle);
  }
  num_distance_codes = BROTLI_NUM_DISTANCE_SHORT_CODES +
      num_direct_distance_codes +
      ((2 * BROTLI_MAX_DISTANCE_BITS) << distance_postfix_bits);
  for (i = 0; i < mb->distance_histograms_size; ++i) {
    BrotliOptimizeHuffmanCountsForRle(num_distance_codes,
                                      mb->distance_histograms[i].data_,
                                      good_for_rle);
  }
}

#if defined(__cplusplus) || defined(c_plusplus)
}  /* extern "C" */
#endif