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cb7534dcdf
Allows to compress short arbitrary strings and returns a string using base64 url encoding. Generator for tables included and a few samples has been added. Add more to init.go Tested with fuzzing for crash resistance and symmetry, see fuzz.go
94 lines
4.7 KiB
Go
94 lines
4.7 KiB
Go
//+build ignore
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package main
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import (
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"encoding/base64"
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"fmt"
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"math"
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"github.com/klauspost/compress"
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"github.com/klauspost/compress/huff0"
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)
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// Replace/add histogram data and execute go run gentable.go
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func main() {
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// Allow non-represented characters.
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const omitUnused = false
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histogram := [256]uint64{
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// ncw home directory
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//0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 19442, 760, 0, 349, 570, 1520, 199, 76, 685, 654, 0, 40377, 1605, 395132, 935270, 0, 1156377, 887730, 811737, 712241, 693240, 689139, 675964, 656417, 666577, 657413, 532, 24, 0, 145, 0, 3, 946, 44932, 37362, 46126, 36752, 76346, 19338, 47457, 14288, 38163, 4350, 7867, 36541, 65011, 30255, 26792, 22097, 1803, 39191, 61965, 76585, 11887, 12896, 5931, 1935, 1731, 1385, 1279, 9, 1278, 1, 420185, 0, 1146359, 746359, 968896, 868703, 1393640, 745019, 354147, 159462, 483979, 169092, 75937, 385858, 322166, 466635, 571268, 447132, 13792, 446484, 736844, 732675, 170232, 112983, 63184, 142357, 173945, 21521, 250, 0, 250, 4140, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 39, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 4, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 15, 0, 0, 0, 10, 0, 5, 0, 0, 0, 0, 0, 0, 283, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
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//Images:
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//0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 765, 0, 0, 0, 0, 0, 8, 7, 3, 3, 0, 29, 53, 247265, 83587, 0, 265952, 233552, 229781, 71156, 78374, 65141, 46152, 43767, 55603, 39411, 0, 0, 0, 0, 0, 88, 84, 141, 70, 222, 191, 51, 52, 101, 60, 53, 23, 17, 49, 93, 53, 17, 92, 0, 158, 109, 41, 19, 43, 28, 10, 5, 1, 0, 0, 0, 0, 879, 0, 3415, 6770, 39823, 3566, 2491, 964, 42115, 825, 5178, 40755, 483, 1290, 3294, 1720, 6309, 42983, 10, 37739, 3454, 7028, 5077, 854, 227, 1259, 767, 218, 0, 0, 0, 163, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
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// Google Drive:
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0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 459, 0, 0, 7, 0, 0, 0, 7, 1, 1, 0, 2, 1, 506, 706, 0, 3903, 3552, 3694, 3338, 3262, 3257, 3222, 3249, 3325, 3261, 5, 0, 0, 1, 0, 0, 0, 48, 31, 61, 53, 46, 17, 17, 34, 32, 9, 22, 17, 31, 27, 19, 52, 5, 46, 84, 38, 14, 5, 19, 2, 2, 0, 8, 0, 8, 0, 180, 0, 5847, 3282, 3729, 3695, 3842, 3356, 316, 139, 487, 117, 95, 476, 289, 428, 609, 467, 5, 446, 592, 955, 130, 112, 57, 390, 168, 14, 0, 2, 0, 44, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
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}
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// Override with equally distributed characters
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if false {
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histogram = [256]uint64{}
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var chars string
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// base c64
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chars = "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789-_"
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// hex
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//chars = "0123456789abcdef"
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for _, v := range []byte(chars) {
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histogram[v] = 1
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}
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}
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// Sum up distributions
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var total uint64
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for _, v := range histogram[:] {
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total += v
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}
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// Scale the distribution to approx this size.
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const scale = 100 << 10
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var tmp []byte
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for i, v := range histogram[:] {
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if v == 0 && omitUnused {
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continue
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}
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nf := float64(v) / float64(total) * scale
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if nf < 1 {
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nf = 1
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}
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t2 := make([]byte, int(math.Ceil(nf)))
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for j := range t2 {
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t2[j] = byte(i)
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}
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tmp = append(tmp, t2...)
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}
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var s huff0.Scratch
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s.Reuse = huff0.ReusePolicyNone
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_, _, err := huff0.Compress1X(tmp, &s)
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if err != nil {
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panic(err)
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}
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fmt.Println("table:", base64.URLEncoding.EncodeToString(s.OutTable))
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// Encode without ones:
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s.Reuse = huff0.ReusePolicyPrefer
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tmp = tmp[:0]
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for i, v := range histogram[:] {
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nf := float64(v) / float64(total) * scale
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t2 := make([]byte, int(math.Ceil(nf)))
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for j := range t2 {
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t2[j] = byte(i)
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}
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tmp = append(tmp, t2...)
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}
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_, _, err = huff0.Compress1X(tmp, &s)
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fmt.Println("sample", len(tmp), "byte, compressed size:", len(s.OutData))
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fmt.Println("Shannon limit:", compress.ShannonEntropyBits(tmp)/8, "bytes")
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if err != nil {
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panic(err)
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}
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fmt.Printf("avg size: 1 -> %.02f", float64(len(s.OutData))/float64(len(tmp)))
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}
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