/src/duckdb/third_party/brotli/enc/literal_cost.cpp
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1 | | /* Copyright 2013 Google Inc. All Rights Reserved. |
2 | | |
3 | | Distributed under MIT license. |
4 | | See file LICENSE for detail or copy at https://opensource.org/licenses/MIT |
5 | | */ |
6 | | |
7 | | /* Literal cost model to allow backward reference replacement to be efficient. |
8 | | */ |
9 | | |
10 | | #include "literal_cost.h" |
11 | | |
12 | | #include <string.h> /* memset */ |
13 | | |
14 | | #include <brotli/types.h> |
15 | | |
16 | | #include "../common/brotli_platform.h" |
17 | | #include "fast_log.h" |
18 | | #include "utf8_util.h" |
19 | | |
20 | | using namespace duckdb_brotli; |
21 | | |
22 | 0 | static size_t UTF8Position(size_t last, size_t c, size_t clamp) { |
23 | 0 | if (c < 128) { |
24 | 0 | return 0; /* Next one is the 'Byte 1' again. */ |
25 | 0 | } else if (c >= 192) { /* Next one is the 'Byte 2' of utf-8 encoding. */ |
26 | 0 | return BROTLI_MIN(size_t, 1, clamp); |
27 | 0 | } else { |
28 | | /* Let's decide over the last byte if this ends the sequence. */ |
29 | 0 | if (last < 0xE0) { |
30 | 0 | return 0; /* Completed two or three byte coding. */ |
31 | 0 | } else { /* Next one is the 'Byte 3' of utf-8 encoding. */ |
32 | 0 | return BROTLI_MIN(size_t, 2, clamp); |
33 | 0 | } |
34 | 0 | } |
35 | 0 | } |
36 | | |
37 | | static size_t DecideMultiByteStatsLevel(size_t pos, size_t len, size_t mask, |
38 | 0 | const uint8_t* data) { |
39 | 0 | size_t counts[3] = { 0 }; |
40 | 0 | size_t max_utf8 = 1; /* should be 2, but 1 compresses better. */ |
41 | 0 | size_t last_c = 0; |
42 | 0 | size_t i; |
43 | 0 | for (i = 0; i < len; ++i) { |
44 | 0 | size_t c = data[(pos + i) & mask]; |
45 | 0 | ++counts[UTF8Position(last_c, c, 2)]; |
46 | 0 | last_c = c; |
47 | 0 | } |
48 | 0 | if (counts[2] < 500) { |
49 | 0 | max_utf8 = 1; |
50 | 0 | } |
51 | 0 | if (counts[1] + counts[2] < 25) { |
52 | 0 | max_utf8 = 0; |
53 | 0 | } |
54 | 0 | return max_utf8; |
55 | 0 | } |
56 | | |
57 | | static void EstimateBitCostsForLiteralsUTF8(size_t pos, size_t len, size_t mask, |
58 | | const uint8_t* data, |
59 | 0 | size_t* histogram, float* cost) { |
60 | | /* max_utf8 is 0 (normal ASCII single byte modeling), |
61 | | 1 (for 2-byte UTF-8 modeling), or 2 (for 3-byte UTF-8 modeling). */ |
62 | 0 | const size_t max_utf8 = DecideMultiByteStatsLevel(pos, len, mask, data); |
63 | 0 | size_t window_half = 495; |
64 | 0 | size_t in_window = BROTLI_MIN(size_t, window_half, len); |
65 | 0 | size_t in_window_utf8[3] = { 0 }; |
66 | 0 | size_t i; |
67 | 0 | memset(histogram, 0, 3 * 256 * sizeof(histogram[0])); |
68 | |
|
69 | 0 | { /* Bootstrap histograms. */ |
70 | 0 | size_t last_c = 0; |
71 | 0 | size_t utf8_pos = 0; |
72 | 0 | for (i = 0; i < in_window; ++i) { |
73 | 0 | size_t c = data[(pos + i) & mask]; |
74 | 0 | ++histogram[256 * utf8_pos + c]; |
75 | 0 | ++in_window_utf8[utf8_pos]; |
76 | 0 | utf8_pos = UTF8Position(last_c, c, max_utf8); |
77 | 0 | last_c = c; |
78 | 0 | } |
79 | 0 | } |
80 | | |
81 | | /* Compute bit costs with sliding window. */ |
82 | 0 | for (i = 0; i < len; ++i) { |
83 | 0 | if (i >= window_half) { |
84 | | /* Remove a byte in the past. */ |
85 | 0 | size_t c = |
86 | 0 | i < window_half + 1 ? 0 : data[(pos + i - window_half - 1) & mask]; |
87 | 0 | size_t last_c = |
88 | 0 | i < window_half + 2 ? 0 : data[(pos + i - window_half - 2) & mask]; |
89 | 0 | size_t utf8_pos2 = UTF8Position(last_c, c, max_utf8); |
90 | 0 | --histogram[256 * utf8_pos2 + data[(pos + i - window_half) & mask]]; |
91 | 0 | --in_window_utf8[utf8_pos2]; |
92 | 0 | } |
93 | 0 | if (i + window_half < len) { |
94 | | /* Add a byte in the future. */ |
95 | 0 | size_t c = data[(pos + i + window_half - 1) & mask]; |
96 | 0 | size_t last_c = data[(pos + i + window_half - 2) & mask]; |
97 | 0 | size_t utf8_pos2 = UTF8Position(last_c, c, max_utf8); |
98 | 0 | ++histogram[256 * utf8_pos2 + data[(pos + i + window_half) & mask]]; |
99 | 0 | ++in_window_utf8[utf8_pos2]; |
100 | 0 | } |
101 | 0 | { |
102 | 0 | size_t c = i < 1 ? 0 : data[(pos + i - 1) & mask]; |
103 | 0 | size_t last_c = i < 2 ? 0 : data[(pos + i - 2) & mask]; |
104 | 0 | size_t utf8_pos = UTF8Position(last_c, c, max_utf8); |
105 | 0 | size_t masked_pos = (pos + i) & mask; |
106 | 0 | size_t histo = histogram[256 * utf8_pos + data[masked_pos]]; |
107 | 0 | double lit_cost; |
108 | 0 | if (histo == 0) { |
109 | 0 | histo = 1; |
110 | 0 | } |
111 | 0 | lit_cost = FastLog2(in_window_utf8[utf8_pos]) - FastLog2(histo); |
112 | 0 | lit_cost += 0.02905; |
113 | 0 | if (lit_cost < 1.0) { |
114 | 0 | lit_cost *= 0.5; |
115 | 0 | lit_cost += 0.5; |
116 | 0 | } |
117 | | /* Make the first bytes more expensive -- seems to help, not sure why. |
118 | | Perhaps because the entropy source is changing its properties |
119 | | rapidly in the beginning of the file, perhaps because the beginning |
120 | | of the data is a statistical "anomaly". */ |
121 | 0 | if (i < 2000) { |
122 | 0 | lit_cost += 0.7 - ((double)(2000 - i) / 2000.0 * 0.35); |
123 | 0 | } |
124 | 0 | cost[i] = (float)lit_cost; |
125 | 0 | } |
126 | 0 | } |
127 | 0 | } |
128 | | |
129 | | void duckdb_brotli::BrotliEstimateBitCostsForLiterals(size_t pos, size_t len, size_t mask, |
130 | | const uint8_t* data, |
131 | 0 | size_t* histogram, float* cost) { |
132 | 0 | if (BrotliIsMostlyUTF8(data, pos, mask, len, kMinUTF8Ratio)) { |
133 | 0 | EstimateBitCostsForLiteralsUTF8(pos, len, mask, data, histogram, cost); |
134 | 0 | return; |
135 | 0 | } else { |
136 | 0 | size_t window_half = 2000; |
137 | 0 | size_t in_window = BROTLI_MIN(size_t, window_half, len); |
138 | 0 | size_t i; |
139 | 0 | memset(histogram, 0, 256 * sizeof(histogram[0])); |
140 | | |
141 | | /* Bootstrap histogram. */ |
142 | 0 | for (i = 0; i < in_window; ++i) { |
143 | 0 | ++histogram[data[(pos + i) & mask]]; |
144 | 0 | } |
145 | | |
146 | | /* Compute bit costs with sliding window. */ |
147 | 0 | for (i = 0; i < len; ++i) { |
148 | 0 | size_t histo; |
149 | 0 | if (i >= window_half) { |
150 | | /* Remove a byte in the past. */ |
151 | 0 | --histogram[data[(pos + i - window_half) & mask]]; |
152 | 0 | --in_window; |
153 | 0 | } |
154 | 0 | if (i + window_half < len) { |
155 | | /* Add a byte in the future. */ |
156 | 0 | ++histogram[data[(pos + i + window_half) & mask]]; |
157 | 0 | ++in_window; |
158 | 0 | } |
159 | 0 | histo = histogram[data[(pos + i) & mask]]; |
160 | 0 | if (histo == 0) { |
161 | 0 | histo = 1; |
162 | 0 | } |
163 | 0 | { |
164 | 0 | double lit_cost = FastLog2(in_window) - FastLog2(histo); |
165 | 0 | lit_cost += 0.029; |
166 | 0 | if (lit_cost < 1.0) { |
167 | 0 | lit_cost *= 0.5; |
168 | 0 | lit_cost += 0.5; |
169 | 0 | } |
170 | 0 | cost[i] = (float)lit_cost; |
171 | 0 | } |
172 | 0 | } |
173 | 0 | } |
174 | 0 | } |
175 | | |
176 | | |