1 files changed, 469 insertions, 0 deletions
diff --git a/web/server/h2o/libh2o/deps/brotli/enc/entropy_encode.cc b/web/server/h2o/libh2o/deps/brotli/enc/entropy_encode.cc
new file mode 100644
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+++ b/web/server/h2o/libh2o/deps/brotli/enc/entropy_encode.cc
@@ -0,0 +1,469 @@
+/* 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.
+
+#include "./entropy_encode.h"
+
+#include <algorithm>
+#include <limits>
+#include <vector>
+#include <cstdlib>
+
+#include "./histogram.h"
+#include "./port.h"
+#include "./types.h"
+
+namespace brotli {
+
+void SetDepth(const HuffmanTree &p,
+              HuffmanTree *pool,
+              uint8_t *depth,
+              uint8_t level) {
+  if (p.index_left_ >= 0) {
+    ++level;
+    SetDepth(pool[p.index_left_], pool, depth, level);
+    SetDepth(pool[p.index_right_or_value_], pool, depth, level);
+  } else {
+    depth[p.index_right_or_value_] = level;
+  }
+}
+
+// This function will create a Huffman tree.
+//
+// The catch here is that the tree cannot be arbitrarily deep.
+// Brotli specifies a maximum depth of 15 bits for "code trees"
+// and 7 bits for "code length code trees."
+//
+// count_limit is the value that is to be faked as the minimum value
+// and this minimum value is raised until the tree matches the
+// maximum length requirement.
+//
+// This algorithm is not of excellent performance for very long data blocks,
+// especially when population counts are longer than 2**tree_limit, but
+// we are not planning to use this with extremely long blocks.
+//
+// See http://en.wikipedia.org/wiki/Huffman_coding
+void CreateHuffmanTree(const uint32_t *data,
+                       const size_t length,
+                       const int tree_limit,
+                       uint8_t *depth) {
+  // For block sizes below 64 kB, we never need to do a second iteration
+  // of this loop. Probably all of our block sizes will be smaller than
+  // that, so this loop is mostly of academic interest. If we actually
+  // would need this, we would be better off with the Katajainen algorithm.
+  for (uint32_t count_limit = 1; ; count_limit *= 2) {
+    std::vector<HuffmanTree> tree;
+    tree.reserve(2 * length + 1);
+
+    for (size_t i = length; i != 0;) {
+      --i;
+      if (data[i]) {
+        const uint32_t count = std::max(data[i], count_limit);
+        tree.push_back(HuffmanTree(count, -1, static_cast<int16_t>(i)));
+      }
+    }
+
+    const size_t n = tree.size();
+    if (n == 1) {
+      depth[tree[0].index_right_or_value_] = 1;      // Only one element.
+      break;
+    }
+
+    std::stable_sort(tree.begin(), tree.end(), SortHuffmanTree);
+
+    // The nodes are:
+    // [0, n): the sorted leaf nodes that we start with.
+    // [n]: we add a sentinel here.
+    // [n + 1, 2n): new parent nodes are added here, starting from
+    //              (n+1). These are naturally in ascending order.
+    // [2n]: we add a sentinel at the end as well.
+    // There will be (2n+1) elements at the end.
+    const HuffmanTree sentinel(std::numeric_limits<uint32_t>::max(), -1, -1);
+    tree.push_back(sentinel);
+    tree.push_back(sentinel);
+
+    size_t i = 0;      // Points to the next leaf node.
+    size_t j = n + 1;  // Points to the next non-leaf node.
+    for (size_t k = n - 1; k != 0; --k) {
+      size_t left, right;
+      if (tree[i].total_count_ <= tree[j].total_count_) {
+        left = i;
+        ++i;
+      } else {
+        left = j;
+        ++j;
+      }
+      if (tree[i].total_count_ <= tree[j].total_count_) {
+        right = i;
+        ++i;
+      } else {
+        right = j;
+        ++j;
+      }
+
+      // The sentinel node becomes the parent node.
+      size_t j_end = tree.size() - 1;
+      tree[j_end].total_count_ =
+          tree[left].total_count_ + tree[right].total_count_;
+      tree[j_end].index_left_ = static_cast<int16_t>(left);
+      tree[j_end].index_right_or_value_ = static_cast<int16_t>(right);
+
+      // Add back the last sentinel node.
+      tree.push_back(sentinel);
+    }
+    assert(tree.size() == 2 * n + 1);
+    SetDepth(tree[2 * n - 1], &tree[0], depth, 0);
+
+    // We need to pack the Huffman tree in tree_limit bits.
+    // If this was not successful, add fake entities to the lowest values
+    // and retry.
+    if (*std::max_element(&depth[0], &depth[length]) <= tree_limit) {
+      break;
+    }
+  }
+}
+
+void Reverse(std::vector<uint8_t>* v, size_t start, size_t end) {
+  --end;
+  while (start < end) {
+    uint8_t tmp = (*v)[start];
+    (*v)[start] = (*v)[end];
+    (*v)[end] = tmp;
+    ++start;
+    --end;
+  }
+}
+
+void WriteHuffmanTreeRepetitions(
+    const uint8_t previous_value,
+    const uint8_t value,
+    size_t repetitions,
+    std::vector<uint8_t> *tree,
+    std::vector<uint8_t> *extra_bits_data) {
+  assert(repetitions > 0);
+  if (previous_value != value) {
+    tree->push_back(value);
+    extra_bits_data->push_back(0);
+    --repetitions;
+  }
+  if (repetitions == 7) {
+    tree->push_back(value);
+    extra_bits_data->push_back(0);
+    --repetitions;
+  }
+  if (repetitions < 3) {
+    for (size_t i = 0; i < repetitions; ++i) {
+      tree->push_back(value);
+      extra_bits_data->push_back(0);
+    }
+  } else {
+    repetitions -= 3;
+    size_t start = tree->size();
+    while (true) {
+      tree->push_back(16);
+      extra_bits_data->push_back(repetitions & 0x3);
+      repetitions >>= 2;
+      if (repetitions == 0) {
+        break;
+      }
+      --repetitions;
+    }
+    Reverse(tree, start, tree->size());
+    Reverse(extra_bits_data, start, tree->size());
+  }
+}
+
+void WriteHuffmanTreeRepetitionsZeros(
+    size_t repetitions,
+    std::vector<uint8_t> *tree,
+    std::vector<uint8_t> *extra_bits_data) {
+  if (repetitions == 11) {
+    tree->push_back(0);
+    extra_bits_data->push_back(0);
+    --repetitions;
+  }
+  if (repetitions < 3) {
+    for (size_t i = 0; i < repetitions; ++i) {
+      tree->push_back(0);
+      extra_bits_data->push_back(0);
+    }
+  } else {
+    repetitions -= 3;
+    size_t start = tree->size();
+    while (true) {
+      tree->push_back(17);
+      extra_bits_data->push_back(repetitions & 0x7);
+      repetitions >>= 3;
+      if (repetitions == 0) {
+        break;
+      }
+      --repetitions;
+    }
+    Reverse(tree, start, tree->size());
+    Reverse(extra_bits_data, start, tree->size());
+  }
+}
+
+bool OptimizeHuffmanCountsForRle(size_t length, uint32_t* counts) {
+  size_t nonzero_count = 0;
+  size_t stride;
+  size_t limit;
+  size_t sum;
+  const size_t streak_limit = 1240;
+  uint8_t* good_for_rle;
+  // Let's make the Huffman code more compatible with rle encoding.
+  size_t i;
+  for (i = 0; i < length; i++) {
+    if (counts[i]) {
+      ++nonzero_count;
+    }
+  }
+  if (nonzero_count < 16) {
+    return 1;
+  }
+  while (length != 0 && counts[length - 1] == 0) {
+    --length;
+  }
+  if (length == 0) {
+    return 1;  // All zeros.
+  }
+  // Now counts[0..length - 1] does not have trailing zeros.
+  {
+    size_t nonzeros = 0;
+    uint32_t smallest_nonzero = 1 << 30;
+    for (i = 0; i < length; ++i) {
+      if (counts[i] != 0) {
+        ++nonzeros;
+        if (smallest_nonzero > counts[i]) {
+          smallest_nonzero = counts[i];
+        }
+      }
+    }
+    if (nonzeros < 5) {
+      // Small histogram will model it well.
+      return 1;
+    }
+    size_t zeros = length - nonzeros;
+    if (smallest_nonzero < 4) {
+      if (zeros < 6) {
+        for (i = 1; i < length - 1; ++i) {
+          if (counts[i - 1] != 0 && counts[i] == 0 && counts[i + 1] != 0) {
+            counts[i] = 1;
+          }
+        }
+      }
+    }
+    if (nonzeros < 28) {
+      return 1;
+    }
+  }
+  // 2) Let's mark all population counts that already can be encoded
+  // with an rle code.
+  good_for_rle = (uint8_t*)calloc(length, 1);
+  if (good_for_rle == NULL) {
+    return 0;
+  }
+  {
+    // Let's not spoil any of the existing good rle codes.
+    // Mark any seq of 0's that is longer as 5 as a good_for_rle.
+    // Mark any seq of non-0's that is longer as 7 as a good_for_rle.
+    uint32_t symbol = counts[0];
+    size_t step = 0;
+    for (i = 0; i <= length; ++i) {
+      if (i == length || counts[i] != symbol) {
+        if ((symbol == 0 && step >= 5) ||
+            (symbol != 0 && step >= 7)) {
+          size_t k;
+          for (k = 0; k < step; ++k) {
+            good_for_rle[i - k - 1] = 1;
+          }
+        }
+        step = 1;
+        if (i != length) {
+          symbol = counts[i];
+        }
+      } else {
+        ++step;
+      }
+    }
+  }
+  // 3) Let's replace those population counts that lead to more rle codes.
+  // Math here is in 24.8 fixed point representation.
+  stride = 0;
+  limit = 256 * (counts[0] + counts[1] + counts[2]) / 3 + 420;
+  sum = 0;
+  for (i = 0; i <= length; ++i) {
+    if (i == length || good_for_rle[i] ||
+        (i != 0 && good_for_rle[i - 1]) ||
+        (256 * counts[i] - limit + streak_limit) >= 2 * streak_limit) {
+      if (stride >= 4 || (stride >= 3 && sum == 0)) {
+        size_t k;
+        // The stride must end, collapse what we have, if we have enough (4).
+        size_t count = (sum + stride / 2) / stride;
+        if (count == 0) {
+          count = 1;
+        }
+        if (sum == 0) {
+          // Don't make an all zeros stride to be upgraded to ones.
+          count = 0;
+        }
+        for (k = 0; k < stride; ++k) {
+          // We don't want to change value at counts[i],
+          // that is already belonging to the next stride. Thus - 1.
+          counts[i - k - 1] = static_cast<uint32_t>(count);
+        }
+      }
+      stride = 0;
+      sum = 0;
+      if (i < length - 2) {
+        // All interesting strides have a count of at least 4,
+        // at least when non-zeros.
+        limit = 256 * (counts[i] + counts[i + 1] + counts[i + 2]) / 3 + 420;
+      } else if (i < length) {
+        limit = 256 * counts[i];
+      } else {
+        limit = 0;
+      }
+    }
+    ++stride;
+    if (i != length) {
+      sum += counts[i];
+      if (stride >= 4) {
+        limit = (256 * sum + stride / 2) / stride;
+      }
+      if (stride == 4) {
+        limit += 120;
+      }
+    }
+  }
+  free(good_for_rle);
+  return 1;
+}
+
+static void DecideOverRleUse(const uint8_t* depth, const size_t length,
+                             bool *use_rle_for_non_zero,
+                             bool *use_rle_for_zero) {
+  size_t total_reps_zero = 0;
+  size_t total_reps_non_zero = 0;
+  size_t count_reps_zero = 1;
+  size_t count_reps_non_zero = 1;
+  for (size_t i = 0; i < length;) {
+    const uint8_t value = depth[i];
+    size_t reps = 1;
+    for (size_t k = i + 1; k < length && depth[k] == value; ++k) {
+      ++reps;
+    }
+    if (reps >= 3 && value == 0) {
+      total_reps_zero += reps;
+      ++count_reps_zero;
+    }
+    if (reps >= 4 && value != 0) {
+      total_reps_non_zero += reps;
+      ++count_reps_non_zero;
+    }
+    i += reps;
+  }
+  *use_rle_for_non_zero = total_reps_non_zero > count_reps_non_zero * 2;
+  *use_rle_for_zero = total_reps_zero > count_reps_zero * 2;
+}
+
+void WriteHuffmanTree(const uint8_t* depth,
+                      size_t length,
+                      std::vector<uint8_t> *tree,
+                      std::vector<uint8_t> *extra_bits_data) {
+  uint8_t previous_value = 8;
+
+  // Throw away trailing zeros.
+  size_t new_length = length;
+  for (size_t i = 0; i < length; ++i) {
+    if (depth[length - i - 1] == 0) {
+      --new_length;
+    } else {
+      break;
+    }
+  }
+
+  // First gather statistics on if it is a good idea to do rle.
+  bool use_rle_for_non_zero = false;
+  bool use_rle_for_zero = false;
+  if (length > 50) {
+    // Find rle coding for longer codes.
+    // Shorter codes seem not to benefit from rle.
+    DecideOverRleUse(depth, new_length,
+                     &use_rle_for_non_zero, &use_rle_for_zero);
+  }
+
+  // Actual rle coding.
+  for (size_t i = 0; i < new_length;) {
+    const uint8_t value = depth[i];
+    size_t reps = 1;
+    if ((value != 0 && use_rle_for_non_zero) ||
+        (value == 0 && use_rle_for_zero)) {
+      for (size_t k = i + 1; k < new_length && depth[k] == value; ++k) {
+        ++reps;
+      }
+    }
+    if (value == 0) {
+      WriteHuffmanTreeRepetitionsZeros(reps, tree, extra_bits_data);
+    } else {
+      WriteHuffmanTreeRepetitions(previous_value,
+                                  value, reps, tree, extra_bits_data);
+      previous_value = value;
+    }
+    i += reps;
+  }
+}
+
+namespace {
+
+uint16_t ReverseBits(int num_bits, uint16_t bits) {
+  static const size_t kLut[16] = {  // Pre-reversed 4-bit values.
+    0x0, 0x8, 0x4, 0xc, 0x2, 0xa, 0x6, 0xe,
+    0x1, 0x9, 0x5, 0xd, 0x3, 0xb, 0x7, 0xf
+  };
+  size_t retval = kLut[bits & 0xf];
+  for (int i = 4; i < num_bits; i += 4) {
+    retval <<= 4;
+    bits = static_cast<uint16_t>(bits >> 4);
+    retval |= kLut[bits & 0xf];
+  }
+  retval >>= (-num_bits & 0x3);
+  return static_cast<uint16_t>(retval);
+}
+
+}  // namespace
+
+void ConvertBitDepthsToSymbols(const uint8_t *depth,
+                               size_t len,
+                               uint16_t *bits) {
+  // In Brotli, all bit depths are [1..15]
+  // 0 bit depth means that the symbol does not exist.
+  const int kMaxBits = 16;  // 0..15 are values for bits
+  uint16_t bl_count[kMaxBits] = { 0 };
+  {
+    for (size_t i = 0; i < len; ++i) {
+      ++bl_count[depth[i]];
+    }
+    bl_count[0] = 0;
+  }
+  uint16_t next_code[kMaxBits];
+  next_code[0] = 0;
+  {
+    int code = 0;
+    for (int bits = 1; bits < kMaxBits; ++bits) {
+      code = (code + bl_count[bits - 1]) << 1;
+      next_code[bits] = static_cast<uint16_t>(code);
+    }
+  }
+  for (size_t i = 0; i < len; ++i) {
+    if (depth[i]) {
+      bits[i] = ReverseBits(depth[i], next_code[depth[i]]++);
+    }
+  }
+}
+
+}  // namespace brotli