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35e69fc7cf
* New feature: "Large Window Brotli" By setting special encoder/decoder flag it is now possible to extend LZ-window up to 30 bits; though produced stream will not be RFC7932 compliant. Added new dictionary generator - "DSH". It combines speed of "Sieve" and quality of "DM". Plus utilities to prepare train corpora (remove unique strings). Improved compression ratio: now two sub-blocks could be stitched: the last copy command could be extended to span the next sub-block. Fixed compression ineffectiveness caused by floating numbers rounding and wrong cost heuristic. Other C changes: - combined / moved `context.h` to `common` - moved transforms to `common` - unified some aspects of code formatting - added an abstraction for encoder (static) dictionary - moved default allocator/deallocator functions to `common` brotli CLI: - window size is auto-adjusted if not specified explicitly Java: - added "eager" decoding both to JNI wrapper and pure decoder - huge speed-up of `DictionaryData` initialization * Add dictionaryless compressed dictionary * Fix `sources.lst` * Fix `sources.lst` and add a note that `libtool` is also required. * Update setup.py * Fix `EagerStreamTest` * Fix BUILD file * Add missing `libdivsufsort` dependency * Fix "unused parameter" warning.
52 lines
1.4 KiB
C
52 lines
1.4 KiB
C
/* NOLINT(build/header_guard) */
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/* Copyright 2013 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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/* template parameters: Histogram, DATA_SIZE, DataType */
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/* A simple container for histograms of data in blocks. */
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typedef struct FN(Histogram) {
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uint32_t data_[DATA_SIZE];
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size_t total_count_;
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double bit_cost_;
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} FN(Histogram);
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static BROTLI_INLINE void FN(HistogramClear)(FN(Histogram)* self) {
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memset(self->data_, 0, sizeof(self->data_));
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self->total_count_ = 0;
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self->bit_cost_ = HUGE_VAL;
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}
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static BROTLI_INLINE void FN(ClearHistograms)(
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FN(Histogram)* array, size_t length) {
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size_t i;
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for (i = 0; i < length; ++i) FN(HistogramClear)(array + i);
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}
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static BROTLI_INLINE void FN(HistogramAdd)(FN(Histogram)* self, size_t val) {
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++self->data_[val];
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++self->total_count_;
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}
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static BROTLI_INLINE void FN(HistogramAddVector)(FN(Histogram)* self,
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const DataType* p, size_t n) {
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self->total_count_ += n;
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n += 1;
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while (--n) ++self->data_[*p++];
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}
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static BROTLI_INLINE void FN(HistogramAddHistogram)(FN(Histogram)* self,
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const FN(Histogram)* v) {
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size_t i;
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self->total_count_ += v->total_count_;
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for (i = 0; i < DATA_SIZE; ++i) {
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self->data_[i] += v->data_[i];
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}
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}
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static BROTLI_INLINE size_t FN(HistogramDataSize)(void) { return DATA_SIZE; }
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