Coverage Report

Created: 2025-08-12 07:37

/src/libjxl/lib/jxl/enc_coeff_order.cc
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// Copyright (c) the JPEG XL Project Authors. All rights reserved.
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//
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// Use of this source code is governed by a BSD-style
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// license that can be found in the LICENSE file.
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#include <jxl/memory_manager.h>
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#include <algorithm>
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#include <cmath>
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#include <cstddef>
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#include <cstdint>
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#include <cstring>
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#include <limits>
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#include <utility>
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#include <vector>
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#include "lib/jxl/ac_strategy.h"
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#include "lib/jxl/base/compiler_specific.h"
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#include "lib/jxl/base/rect.h"
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#include "lib/jxl/base/status.h"
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#include "lib/jxl/coeff_order.h"
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#include "lib/jxl/coeff_order_fwd.h"
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#include "lib/jxl/common.h"
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#include "lib/jxl/dct_util.h"
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#include "lib/jxl/enc_ans.h"
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#include "lib/jxl/enc_ans_params.h"
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#include "lib/jxl/enc_bit_writer.h"
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#include "lib/jxl/frame_dimensions.h"
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#include "lib/jxl/lehmer_code.h"
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#include "lib/jxl/memory_manager_internal.h"
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namespace jxl {
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struct AuxOut;
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enum class LayerType : uint8_t;
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std::pair<uint32_t, uint32_t> ComputeUsedOrders(
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    const SpeedTier speed, const AcStrategyImage& ac_strategy,
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162
    const Rect& rect) {
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  // No coefficient reordering in Falcon or faster.
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  // Only uses DCT8 = 0, so bitfield = 1.
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162
  if (speed >= SpeedTier::kFalcon) return {1, 1};
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  uint32_t ret = 0;
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162
  uint32_t ret_customize = 0;
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162
  size_t xsize_blocks = rect.xsize();
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162
  size_t ysize_blocks = rect.ysize();
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  // TODO(veluca): precompute when doing DCT.
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6.88k
  for (size_t by = 0; by < ysize_blocks; ++by) {
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6.72k
    AcStrategyRow acs_row = ac_strategy.ConstRow(rect, by);
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359k
    for (size_t bx = 0; bx < xsize_blocks; ++bx) {
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353k
      int ord = kStrategyOrder[acs_row[bx].RawStrategy()];
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      // Do not customize coefficient orders for blocks bigger than 32x32.
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353k
      ret |= 1u << ord;
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353k
      if (ord > 6) {
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30.2k
        continue;
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30.2k
      }
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322k
      ret_customize |= 1u << ord;
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322k
    }
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6.72k
  }
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  // Use default orders for small images.
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162
  if (ac_strategy.xsize() < 5 && ac_strategy.ysize() < 5) return {ret, 0};
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139
  return {ret, ret_customize};
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}
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Status ComputeCoeffOrder(SpeedTier speed, const ACImage& ac_image,
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                         const AcStrategyImage& ac_strategy,
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                         const FrameDimensions& frame_dim,
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                         uint32_t& all_used_orders, uint32_t prev_used_acs,
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                         uint32_t current_used_acs,
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                         uint32_t current_used_orders,
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                         coeff_order_t* JXL_RESTRICT order) {
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  JxlMemoryManager* memory_manager = ac_strategy.memory_manager();
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  std::vector<int64_t> num_zeros(kCoeffOrderMaxSize);
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  // If compressing at high speed and only using 8x8 DCTs, only consider a
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  // subset of blocks.
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  double block_fraction = 1.0f;
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  // TODO(veluca): figure out why sampling blocks if non-8x8s are used makes
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  // encoding significantly less dense.
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  if (speed >= SpeedTier::kSquirrel && current_used_orders == 1) {
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0
    block_fraction = 0.5f;
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0
  }
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  // No need to compute number of zero coefficients if all orders are the
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  // default.
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  if (current_used_orders != 0) {
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    uint64_t threshold =
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        (std::numeric_limits<uint64_t>::max() >> 32) * block_fraction;
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    uint64_t s[2] = {static_cast<uint64_t>(0x94D049BB133111EBull),
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                     static_cast<uint64_t>(0xBF58476D1CE4E5B9ull)};
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    // Xorshift128+ adapted from xorshift128+-inl.h
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181k
    auto use_sample = [&]() {
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      auto s1 = s[0];
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181k
      const auto s0 = s[1];
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      const auto bits = s1 + s0;  // b, c
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      s[0] = s0;
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      s1 ^= s1 << 23;
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      s1 ^= s0 ^ (s1 >> 18) ^ (s0 >> 5);
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      s[1] = s1;
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      return (bits >> 32) <= threshold;
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    };
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    // Count number of zero coefficients, separately for each DCT band.
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    // TODO(veluca): precompute when doing DCT.
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    for (size_t group_index = 0; group_index < frame_dim.num_groups;
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         group_index++) {
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      const size_t gx = group_index % frame_dim.xsize_groups;
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      const size_t gy = group_index / frame_dim.xsize_groups;
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      const Rect rect(gx * kGroupDimInBlocks, gy * kGroupDimInBlocks,
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                      kGroupDimInBlocks, kGroupDimInBlocks,
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                      frame_dim.xsize_blocks, frame_dim.ysize_blocks);
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      ConstACPtr rows[3];
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      ACType type = ac_image.Type();
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      for (size_t c = 0; c < 3; c++) {
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1.54k
        rows[c] = ac_image.PlaneRow(c, group_index, 0);
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1.54k
      }
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      size_t ac_offset = 0;
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      // TODO(veluca): SIMDfy.
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      for (size_t by = 0; by < rect.ysize(); ++by) {
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        AcStrategyRow acs_row = ac_strategy.ConstRow(rect, by);
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366k
        for (size_t bx = 0; bx < rect.xsize(); ++bx) {
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          AcStrategy acs = acs_row[bx];
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          if (!acs.IsFirstBlock()) continue;
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          if (!use_sample()) continue;
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          size_t size = kDCTBlockSize << acs.log2_covered_blocks();
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726k
          for (size_t c = 0; c < 3; ++c) {
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            const size_t order_offset =
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                CoeffOrderOffset(kStrategyOrder[acs.RawStrategy()], c);
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544k
            if (type == ACType::k16) {
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0
              for (size_t k = 0; k < size; k++) {
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0
                bool is_zero = rows[c].ptr16[ac_offset + k] == 0;
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0
                num_zeros[order_offset + k] += is_zero ? 1 : 0;
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0
              }
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544k
            } else {
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68.3M
              for (size_t k = 0; k < size; k++) {
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67.7M
                bool is_zero = rows[c].ptr32[ac_offset + k] == 0;
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67.7M
                num_zeros[order_offset + k] += is_zero ? 1 : 0;
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67.7M
              }
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544k
            }
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            // Ensure LLFs are first in the order.
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544k
            size_t cx = acs.covered_blocks_x();
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544k
            size_t cy = acs.covered_blocks_y();
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544k
            CoefficientLayout(&cy, &cx);
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1.17M
            for (size_t iy = 0; iy < cy; iy++) {
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1.69M
              for (size_t ix = 0; ix < cx; ix++) {
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1.05M
                num_zeros[order_offset + iy * kBlockDim * cx + ix] = -1;
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1.05M
              }
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632k
            }
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544k
          }
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181k
          ac_offset += size;
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        }
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13.3k
      }
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    }
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  }
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  struct PosAndCount {
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    uint32_t pos;
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    // Saving index breaks the ties for non-stable sort
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    uint64_t count_and_idx;
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  };
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  size_t mem_bytes = AcStrategy::kMaxCoeffArea * sizeof(PosAndCount);
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  JXL_ASSIGN_OR_RETURN(auto mem,
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                       AlignedMemory::Create(memory_manager, mem_bytes));
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  std::vector<coeff_order_t> natural_order_buffer;
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  uint16_t computed = 0;
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4.53k
  for (uint8_t o = 0; o < AcStrategy::kNumValidStrategies; ++o) {
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4.37k
    uint8_t ord = kStrategyOrder[o];
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4.37k
    if (computed & (1 << ord)) continue;
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2.10k
    computed |= 1 << ord;
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2.10k
    AcStrategy acs = AcStrategy::FromRawStrategy(o);
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2.10k
    size_t sz = kDCTBlockSize * acs.covered_blocks_x() * acs.covered_blocks_y();
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    // Expected maximal size is 256 x 256.
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2.10k
    JXL_DASSERT(sz <= (1 << 16));
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    // Do nothing for transforms that don't appear.
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2.10k
    if ((1 << ord) & ~current_used_acs) continue;
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    // Do nothing if we already committed to this custom order previously.
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    if ((1 << ord) & prev_used_acs) continue;
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781
    if ((1 << ord) & all_used_orders) continue;
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781
    if (natural_order_buffer.size() < sz) natural_order_buffer.resize(sz);
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781
    acs.ComputeNaturalCoeffOrder(natural_order_buffer.data());
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    // Ensure natural coefficient order is not permuted if the order is
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    // not transmitted.
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    if ((1 << ord) & ~current_used_orders) {
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      for (size_t c = 0; c < 3; c++) {
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        size_t offset = CoeffOrderOffset(ord, c);
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        JXL_ENSURE(CoeffOrderOffset(ord, c + 1) - offset == sz);
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        memcpy(&order[offset], natural_order_buffer.data(),
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               sz * sizeof(*order));
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      }
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54
      continue;
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    }
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198
727
    bool is_nondefault = false;
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2.90k
    for (uint8_t c = 0; c < 3; c++) {
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      // Apply zig-zag order.
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2.18k
      PosAndCount* pos_and_val = mem.address<PosAndCount>();
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2.18k
      size_t offset = CoeffOrderOffset(ord, c);
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2.18k
      JXL_ENSURE(CoeffOrderOffset(ord, c + 1) - offset == sz);
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2.18k
      float inv_sqrt_sz = 1.0f / std::sqrt(sz);
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712k
      for (size_t i = 0; i < sz; ++i) {
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710k
        size_t pos = natural_order_buffer[i];
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710k
        pos_and_val[i].pos = pos;
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        // We don't care for the exact number -> quantize number of zeros,
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        // to get less permuted order.
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710k
        uint64_t count = num_zeros[offset + pos] * inv_sqrt_sz + 0.1f;
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        // Worst case: all dct8x8, all zeroes: count <= nb_pixels/64/8
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        // nb_pixels is limited to 2^40 (Level 10 limit)
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        // so count is limited to 2^31
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710k
        JXL_DASSERT(count < (uint64_t{1} << 48));
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710k
        pos_and_val[i].count_and_idx = (count << 16) | i;
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710k
      }
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      // Stable-sort -> elements with same number of zeros will preserve their
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      // order.
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4.16M
      auto comparator = [](const PosAndCount& a, const PosAndCount& b) -> bool {
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4.16M
        return a.count_and_idx < b.count_and_idx;
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4.16M
      };
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2.18k
      std::sort(pos_and_val, pos_and_val + sz, comparator);
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      // Grab indices.
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712k
      for (size_t i = 0; i < sz; ++i) {
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710k
        order[offset + i] = pos_and_val[i].pos;
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710k
        is_nondefault |= natural_order_buffer[i] != pos_and_val[i].pos;
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710k
      }
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2.18k
    }
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727
    if (!is_nondefault) {
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189
      current_used_orders &= ~(1 << ord);
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189
    }
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727
  }
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162
  all_used_orders |= current_used_orders;
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  return true;
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162
}
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namespace {
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241
Status TokenizePermutation(const coeff_order_t* JXL_RESTRICT order, size_t skip,
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1.61k
                           size_t size, std::vector<Token>* tokens) {
243
1.61k
  std::vector<LehmerT> lehmer(size);
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1.61k
  std::vector<uint32_t> temp(size + 1);
245
1.61k
  JXL_RETURN_IF_ERROR(
246
1.61k
      ComputeLehmerCode(order, temp.data(), size, lehmer.data()));
247
1.61k
  size_t end = size;
248
336k
  while (end > skip && lehmer[end - 1] == 0) {
249
334k
    --end;
250
334k
  }
251
1.61k
  tokens->emplace_back(CoeffOrderContext(size), end - skip);
252
1.61k
  uint32_t last = 0;
253
101k
  for (size_t i = skip; i < end; ++i) {
254
100k
    tokens->emplace_back(CoeffOrderContext(last), lehmer[i]);
255
100k
    last = lehmer[i];
256
100k
  }
257
1.61k
  return true;
258
1.61k
}
259
260
}  // namespace
261
262
Status EncodePermutation(const coeff_order_t* JXL_RESTRICT order, size_t skip,
263
                         size_t size, BitWriter* writer, LayerType layer,
264
0
                         AuxOut* aux_out) {
265
0
  JxlMemoryManager* memory_manager = writer->memory_manager();
266
0
  std::vector<std::vector<Token>> tokens(1);
267
0
  JXL_RETURN_IF_ERROR(TokenizePermutation(order, skip, size, tokens.data()));
268
0
  EntropyEncodingData codes;
269
0
  JXL_ASSIGN_OR_RETURN(
270
0
      size_t cost, BuildAndEncodeHistograms(memory_manager, HistogramParams(),
271
0
                                            kPermutationContexts, tokens,
272
0
                                            &codes, writer, layer, aux_out));
273
0
  (void)cost;
274
0
  JXL_RETURN_IF_ERROR(WriteTokens(tokens[0], codes, 0, writer, layer, aux_out));
275
0
  return true;
276
0
}
277
278
namespace {
279
Status EncodeCoeffOrder(const coeff_order_t* JXL_RESTRICT order, AcStrategy acs,
280
                        std::vector<Token>* tokens, coeff_order_t* order_zigzag,
281
1.61k
                        std::vector<coeff_order_t>& natural_order_lut) {
282
1.61k
  const size_t llf = acs.covered_blocks_x() * acs.covered_blocks_y();
283
1.61k
  const size_t size = kDCTBlockSize * llf;
284
443k
  for (size_t i = 0; i < size; ++i) {
285
442k
    order_zigzag[i] = natural_order_lut[order[i]];
286
442k
  }
287
1.61k
  JXL_RETURN_IF_ERROR(TokenizePermutation(order_zigzag, llf, size, tokens));
288
1.61k
  return true;
289
1.61k
}
290
}  // namespace
291
292
Status EncodeCoeffOrders(uint16_t used_orders,
293
                         const coeff_order_t* JXL_RESTRICT order,
294
                         BitWriter* writer, LayerType layer,
295
162
                         AuxOut* JXL_RESTRICT aux_out) {
296
162
  JxlMemoryManager* memory_manager = writer->memory_manager();
297
162
  size_t mem_bytes = AcStrategy::kMaxCoeffArea * sizeof(coeff_order_t);
298
162
  JXL_ASSIGN_OR_RETURN(auto mem,
299
162
                       AlignedMemory::Create(memory_manager, mem_bytes));
300
162
  uint16_t computed = 0;
301
162
  std::vector<std::vector<Token>> tokens(1);
302
162
  std::vector<coeff_order_t> natural_order_lut;
303
4.53k
  for (uint8_t o = 0; o < AcStrategy::kNumValidStrategies; ++o) {
304
4.37k
    uint8_t ord = kStrategyOrder[o];
305
4.37k
    if (computed & (1 << ord)) continue;
306
2.10k
    computed |= 1 << ord;
307
2.10k
    if ((used_orders & (1 << ord)) == 0) continue;
308
538
    AcStrategy acs = AcStrategy::FromRawStrategy(o);
309
538
    const size_t llf = acs.covered_blocks_x() * acs.covered_blocks_y();
310
538
    const size_t size = kDCTBlockSize * llf;
311
538
    if (natural_order_lut.size() < size) natural_order_lut.resize(size);
312
538
    acs.ComputeNaturalCoeffOrderLut(natural_order_lut.data());
313
2.15k
    for (size_t c = 0; c < 3; c++) {
314
1.61k
      JXL_RETURN_IF_ERROR(
315
1.61k
          EncodeCoeffOrder(&order[CoeffOrderOffset(ord, c)], acs, tokens.data(),
316
1.61k
                           mem.address<coeff_order_t>(), natural_order_lut));
317
1.61k
    }
318
538
  }
319
  // Do not write anything if no order is used.
320
162
  if (used_orders != 0) {
321
122
    EntropyEncodingData codes;
322
122
    JXL_ASSIGN_OR_RETURN(
323
122
        size_t cost, BuildAndEncodeHistograms(memory_manager, HistogramParams(),
324
122
                                              kPermutationContexts, tokens,
325
122
                                              &codes, writer, layer, aux_out));
326
122
    (void)cost;
327
122
    JXL_RETURN_IF_ERROR(
328
122
        WriteTokens(tokens[0], codes, 0, writer, layer, aux_out));
329
122
  }
330
162
  return true;
331
162
}
332
333
}  // namespace jxl