| /* Copyright 2013 Google Inc. All Rights Reserved. |
| |
| Distributed under MIT license. |
| See file LICENSE for detail or copy at https://opensource.org/licenses/MIT |
| */ |
| |
| /* Functions to estimate the bit cost of Huffman trees. */ |
| |
| #ifndef BROTLI_ENC_BIT_COST_H_ |
| #define BROTLI_ENC_BIT_COST_H_ |
| |
| #include "../common/platform.h" |
| #include <brotli/types.h> |
| #include "fast_log.h" |
| #include "histogram.h" |
| |
| #if defined(__cplusplus) || defined(c_plusplus) |
| extern "C" { |
| #endif |
| |
| static BROTLI_INLINE double ShannonEntropy( |
| const uint32_t* population, size_t size, size_t* total) { |
| size_t sum = 0; |
| double retval = 0; |
| const uint32_t* population_end = population + size; |
| size_t p; |
| if (size & 1) { |
| goto odd_number_of_elements_left; |
| } |
| while (population < population_end) { |
| p = *population++; |
| sum += p; |
| retval -= (double)p * FastLog2(p); |
| odd_number_of_elements_left: |
| p = *population++; |
| sum += p; |
| retval -= (double)p * FastLog2(p); |
| } |
| if (sum) retval += (double)sum * FastLog2(sum); |
| *total = sum; |
| return retval; |
| } |
| |
| static BROTLI_INLINE double BitsEntropy( |
| const uint32_t* population, size_t size) { |
| size_t sum; |
| double retval = ShannonEntropy(population, size, &sum); |
| if (retval < (double)sum) { |
| /* At least one bit per literal is needed. */ |
| retval = (double)sum; |
| } |
| return retval; |
| } |
| |
| BROTLI_INTERNAL double BrotliPopulationCostLiteral(const HistogramLiteral*); |
| BROTLI_INTERNAL double BrotliPopulationCostCommand(const HistogramCommand*); |
| BROTLI_INTERNAL double BrotliPopulationCostDistance(const HistogramDistance*); |
| |
| #if defined(__cplusplus) || defined(c_plusplus) |
| } /* extern "C" */ |
| #endif |
| |
| #endif /* BROTLI_ENC_BIT_COST_H_ */ |