mirror of
https://github.com/go-gitea/gitea.git
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* Dump: Use mholt/archive/v3 to support tar including many compressions Signed-off-by: Philipp Homann <homann.philipp@googlemail.com> * Dump: Allow dump output to stdout Signed-off-by: Philipp Homann <homann.philipp@googlemail.com> * Dump: Fixed bug present since #6677 where SessionConfig.Provider is never "file" Signed-off-by: Philipp Homann <homann.philipp@googlemail.com> * Dump: never pack RepoRootPath, LFS.ContentPath and LogRootPath when they are below AppDataPath Signed-off-by: Philipp Homann <homann.philipp@googlemail.com> * Dump: also dump LFS (fixes #10058) Signed-off-by: Philipp Homann <homann.philipp@googlemail.com> * Dump: never dump CustomPath if CustomPath is a subdir of or equal to AppDataPath (fixes #10365) Signed-off-by: Philipp Homann <homann.philipp@googlemail.com> * Use log.Info instead of fmt.Fprintf Signed-off-by: Philipp Homann <homann.philipp@googlemail.com> * import ordering * make fmt Co-authored-by: zeripath <art27@cantab.net> Co-authored-by: techknowlogick <techknowlogick@gitea.io> Co-authored-by: Matti R <matti@mdranta.net>
288 lines
9.5 KiB
Go
Vendored
288 lines
9.5 KiB
Go
Vendored
package brotli
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import "encoding/binary"
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/* Copyright 2016 Google Inc. All Rights Reserved.
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Distributed under MIT license.
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See file LICENSE for detail or copy at https://opensource.org/licenses/MIT
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*/
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func (*h10) HashTypeLength() uint {
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return 4
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}
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func (*h10) StoreLookahead() uint {
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return 128
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}
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func hashBytesH10(data []byte) uint32 {
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var h uint32 = binary.LittleEndian.Uint32(data) * kHashMul32
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/* The higher bits contain more mixture from the multiplication,
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so we take our results from there. */
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return h >> (32 - 17)
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}
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/* A (forgetful) hash table where each hash bucket contains a binary tree of
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sequences whose first 4 bytes share the same hash code.
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Each sequence is 128 long and is identified by its starting
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position in the input data. The binary tree is sorted by the lexicographic
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order of the sequences, and it is also a max-heap with respect to the
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starting positions. */
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type h10 struct {
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hasherCommon
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window_mask_ uint
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buckets_ [1 << 17]uint32
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invalid_pos_ uint32
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forest []uint32
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}
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func (h *h10) Initialize(params *encoderParams) {
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h.window_mask_ = (1 << params.lgwin) - 1
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h.invalid_pos_ = uint32(0 - h.window_mask_)
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var num_nodes uint = uint(1) << params.lgwin
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h.forest = make([]uint32, 2*num_nodes)
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}
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func (h *h10) Prepare(one_shot bool, input_size uint, data []byte) {
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var invalid_pos uint32 = h.invalid_pos_
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var i uint32
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for i = 0; i < 1<<17; i++ {
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h.buckets_[i] = invalid_pos
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}
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}
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func leftChildIndexH10(self *h10, pos uint) uint {
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return 2 * (pos & self.window_mask_)
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}
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func rightChildIndexH10(self *h10, pos uint) uint {
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return 2*(pos&self.window_mask_) + 1
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}
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/* Stores the hash of the next 4 bytes and in a single tree-traversal, the
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hash bucket's binary tree is searched for matches and is re-rooted at the
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current position.
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If less than 128 data is available, the hash bucket of the
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current position is searched for matches, but the state of the hash table
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is not changed, since we can not know the final sorting order of the
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current (incomplete) sequence.
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This function must be called with increasing cur_ix positions. */
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func storeAndFindMatchesH10(self *h10, data []byte, cur_ix uint, ring_buffer_mask uint, max_length uint, max_backward uint, best_len *uint, matches []backwardMatch) []backwardMatch {
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var cur_ix_masked uint = cur_ix & ring_buffer_mask
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var max_comp_len uint = brotli_min_size_t(max_length, 128)
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var should_reroot_tree bool = (max_length >= 128)
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var key uint32 = hashBytesH10(data[cur_ix_masked:])
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var forest []uint32 = self.forest
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var prev_ix uint = uint(self.buckets_[key])
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var node_left uint = leftChildIndexH10(self, cur_ix)
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var node_right uint = rightChildIndexH10(self, cur_ix)
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var best_len_left uint = 0
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var best_len_right uint = 0
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var depth_remaining uint
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/* The forest index of the rightmost node of the left subtree of the new
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root, updated as we traverse and re-root the tree of the hash bucket. */
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/* The forest index of the leftmost node of the right subtree of the new
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root, updated as we traverse and re-root the tree of the hash bucket. */
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/* The match length of the rightmost node of the left subtree of the new
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root, updated as we traverse and re-root the tree of the hash bucket. */
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/* The match length of the leftmost node of the right subtree of the new
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root, updated as we traverse and re-root the tree of the hash bucket. */
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if should_reroot_tree {
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self.buckets_[key] = uint32(cur_ix)
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}
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for depth_remaining = 64; ; depth_remaining-- {
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var backward uint = cur_ix - prev_ix
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var prev_ix_masked uint = prev_ix & ring_buffer_mask
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if backward == 0 || backward > max_backward || depth_remaining == 0 {
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if should_reroot_tree {
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forest[node_left] = self.invalid_pos_
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forest[node_right] = self.invalid_pos_
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}
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break
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}
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{
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var cur_len uint = brotli_min_size_t(best_len_left, best_len_right)
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var len uint
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assert(cur_len <= 128)
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len = cur_len + findMatchLengthWithLimit(data[cur_ix_masked+cur_len:], data[prev_ix_masked+cur_len:], max_length-cur_len)
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if matches != nil && len > *best_len {
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*best_len = uint(len)
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initBackwardMatch(&matches[0], backward, uint(len))
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matches = matches[1:]
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}
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if len >= max_comp_len {
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if should_reroot_tree {
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forest[node_left] = forest[leftChildIndexH10(self, prev_ix)]
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forest[node_right] = forest[rightChildIndexH10(self, prev_ix)]
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}
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break
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}
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if data[cur_ix_masked+len] > data[prev_ix_masked+len] {
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best_len_left = uint(len)
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if should_reroot_tree {
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forest[node_left] = uint32(prev_ix)
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}
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node_left = rightChildIndexH10(self, prev_ix)
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prev_ix = uint(forest[node_left])
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} else {
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best_len_right = uint(len)
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if should_reroot_tree {
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forest[node_right] = uint32(prev_ix)
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}
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node_right = leftChildIndexH10(self, prev_ix)
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prev_ix = uint(forest[node_right])
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}
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}
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}
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return matches
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}
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/* Finds all backward matches of &data[cur_ix & ring_buffer_mask] up to the
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length of max_length and stores the position cur_ix in the hash table.
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Sets *num_matches to the number of matches found, and stores the found
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matches in matches[0] to matches[*num_matches - 1]. The matches will be
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sorted by strictly increasing length and (non-strictly) increasing
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distance. */
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func findAllMatchesH10(handle *h10, dictionary *encoderDictionary, data []byte, ring_buffer_mask uint, cur_ix uint, max_length uint, max_backward uint, gap uint, params *encoderParams, matches []backwardMatch) uint {
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var orig_matches []backwardMatch = matches
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var cur_ix_masked uint = cur_ix & ring_buffer_mask
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var best_len uint = 1
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var short_match_max_backward uint
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if params.quality != hqZopflificationQuality {
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short_match_max_backward = 16
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} else {
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short_match_max_backward = 64
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}
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var stop uint = cur_ix - short_match_max_backward
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var dict_matches [maxStaticDictionaryMatchLen + 1]uint32
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var i uint
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if cur_ix < short_match_max_backward {
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stop = 0
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}
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for i = cur_ix - 1; i > stop && best_len <= 2; i-- {
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var prev_ix uint = i
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var backward uint = cur_ix - prev_ix
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if backward > max_backward {
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break
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}
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prev_ix &= ring_buffer_mask
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if data[cur_ix_masked] != data[prev_ix] || data[cur_ix_masked+1] != data[prev_ix+1] {
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continue
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}
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{
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var len uint = findMatchLengthWithLimit(data[prev_ix:], data[cur_ix_masked:], max_length)
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if len > best_len {
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best_len = uint(len)
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initBackwardMatch(&matches[0], backward, uint(len))
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matches = matches[1:]
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}
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}
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}
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if best_len < max_length {
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matches = storeAndFindMatchesH10(handle, data, cur_ix, ring_buffer_mask, max_length, max_backward, &best_len, matches)
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}
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for i = 0; i <= maxStaticDictionaryMatchLen; i++ {
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dict_matches[i] = kInvalidMatch
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}
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{
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var minlen uint = brotli_max_size_t(4, best_len+1)
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if findAllStaticDictionaryMatches(dictionary, data[cur_ix_masked:], minlen, max_length, dict_matches[0:]) {
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var maxlen uint = brotli_min_size_t(maxStaticDictionaryMatchLen, max_length)
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var l uint
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for l = minlen; l <= maxlen; l++ {
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var dict_id uint32 = dict_matches[l]
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if dict_id < kInvalidMatch {
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var distance uint = max_backward + gap + uint(dict_id>>5) + 1
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if distance <= params.dist.max_distance {
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initDictionaryBackwardMatch(&matches[0], distance, l, uint(dict_id&31))
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matches = matches[1:]
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}
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}
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}
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}
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}
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return uint(-cap(matches) + cap(orig_matches))
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}
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/* Stores the hash of the next 4 bytes and re-roots the binary tree at the
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current sequence, without returning any matches.
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REQUIRES: ix + 128 <= end-of-current-block */
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func (h *h10) Store(data []byte, mask uint, ix uint) {
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var max_backward uint = h.window_mask_ - windowGap + 1
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/* Maximum distance is window size - 16, see section 9.1. of the spec. */
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storeAndFindMatchesH10(h, data, ix, mask, 128, max_backward, nil, nil)
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}
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func (h *h10) StoreRange(data []byte, mask uint, ix_start uint, ix_end uint) {
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var i uint = ix_start
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var j uint = ix_start
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if ix_start+63 <= ix_end {
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i = ix_end - 63
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}
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if ix_start+512 <= i {
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for ; j < i; j += 8 {
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h.Store(data, mask, j)
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}
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}
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for ; i < ix_end; i++ {
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h.Store(data, mask, i)
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}
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}
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func (h *h10) StitchToPreviousBlock(num_bytes uint, position uint, ringbuffer []byte, ringbuffer_mask uint) {
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if num_bytes >= h.HashTypeLength()-1 && position >= 128 {
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var i_start uint = position - 128 + 1
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var i_end uint = brotli_min_size_t(position, i_start+num_bytes)
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/* Store the last `128 - 1` positions in the hasher.
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These could not be calculated before, since they require knowledge
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of both the previous and the current block. */
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var i uint
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for i = i_start; i < i_end; i++ {
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/* Maximum distance is window size - 16, see section 9.1. of the spec.
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Furthermore, we have to make sure that we don't look further back
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from the start of the next block than the window size, otherwise we
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could access already overwritten areas of the ring-buffer. */
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var max_backward uint = h.window_mask_ - brotli_max_size_t(windowGap-1, position-i)
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/* We know that i + 128 <= position + num_bytes, i.e. the
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end of the current block and that we have at least
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128 tail in the ring-buffer. */
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storeAndFindMatchesH10(h, ringbuffer, i, ringbuffer_mask, 128, max_backward, nil, nil)
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}
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}
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}
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/* MAX_NUM_MATCHES == 64 + MAX_TREE_SEARCH_DEPTH */
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const maxNumMatchesH10 = 128
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func (*h10) FindLongestMatch(dictionary *encoderDictionary, data []byte, ring_buffer_mask uint, distance_cache []int, cur_ix uint, max_length uint, max_backward uint, gap uint, max_distance uint, out *hasherSearchResult) {
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panic("unimplemented")
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}
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func (*h10) PrepareDistanceCache(distance_cache []int) {
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panic("unimplemented")
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}
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