diff options
Diffstat (limited to 'encoder.cc')
| -rw-r--r-- | encoder.cc | 44 |
1 files changed, 30 insertions, 14 deletions
@@ -353,22 +353,23 @@ int LZ_encoder::sequence_optimizer( const int reps[num_rep_distances], return 1; } - { - const int normal_match_price = match_price + price0( bm_rep[state()] ); - int len = min_match_len; if( main_len <= replens[rep_index] ) { main_len = replens[rep_index]; - for( ; len <= main_len; ++len ) trials[len].price = infinite_price; + for( int len = min_match_len; len <= main_len; ++len ) + trials[len].price = infinite_price; } - else for( ; len <= main_len; ++len ) + else { - trials[len].dis = match_distances[len] + num_rep_distances; - trials[len].prev_index = 0; - trials[len].price = normal_match_price + - price_pair( match_distances[len], len, pos_state ); + const int normal_match_price = match_price + price0( bm_rep[state()] ); + for( int len = min_match_len; len <= main_len; ++len ) + { + trials[len].dis = match_distances[len] + num_rep_distances; + trials[len].prev_index = 0; + trials[len].price = normal_match_price + + price_pair( match_distances[len], len, pos_state ); + } } - } for( int rep = 0; rep < num_rep_distances; ++rep ) { @@ -474,10 +475,25 @@ int LZ_encoder::sequence_optimizer( const int reps[num_rep_distances], while( num_trials < cur + newlen ) trials[++num_trials].price = infinite_price; - for( int len = min_match_len; len <= newlen; ++len ) - trials[cur+len].update( match_distances[len] + num_rep_distances, cur, - normal_match_price + - price_pair( match_distances[len], len, pos_state ) ); + int dis = match_distances[min_match_len]; + int dis_state = get_dis_state( min_match_len ); + int dis_price = infinite_price; + if( dis < modeled_distances ) + trials[cur+min_match_len].update( dis + num_rep_distances, cur, + normal_match_price + dis_prices[dis_state][dis] + + len_encoder.price( min_match_len, pos_state ) ); + for( int len = min_match_len + 1; len <= newlen; ++len ) + { + if( dis != match_distances[len] || dis_state < max_dis_states - 1 ) + { + dis = match_distances[len]; + dis_state = get_dis_state( len ); + dis_price = price_dis( dis, dis_state ); + } + trials[cur+len].update( dis + num_rep_distances, cur, + normal_match_price + dis_price + + len_encoder.price( len, pos_state ) ); + } } } } |