package huff0 import ( "fmt" "math" "runtime" "sync" ) // Compress1X will compress the input. // The output can be decoded using Decompress1X. // Supply a Scratch object. The scratch object contains state about re-use, // So when sharing across independent encodes, be sure to set the re-use policy. func Compress1X(in []byte, s *Scratch) (out []byte, reUsed bool, err error) { s, err = s.prepare(in) if err != nil { return nil, false, err } return compress(in, s, s.compress1X) } // Compress4X will compress the input. The input is split into 4 independent blocks // and compressed similar to Compress1X. // The output can be decoded using Decompress4X. // Supply a Scratch object. The scratch object contains state about re-use, // So when sharing across independent encodes, be sure to set the re-use policy. func Compress4X(in []byte, s *Scratch) (out []byte, reUsed bool, err error) { s, err = s.prepare(in) if err != nil { return nil, false, err } if false { // TODO: compress4Xp only slightly faster. const parallelThreshold = 8 << 10 if len(in) < parallelThreshold || runtime.GOMAXPROCS(0) == 1 { return compress(in, s, s.compress4X) } return compress(in, s, s.compress4Xp) } return compress(in, s, s.compress4X) } func compress(in []byte, s *Scratch, compressor func(src []byte) ([]byte, error)) (out []byte, reUsed bool, err error) { // Nuke previous table if we cannot reuse anyway. if s.Reuse == ReusePolicyNone { s.prevTable = s.prevTable[:0] } // Create histogram, if none was provided. maxCount := s.maxCount var canReuse = false if maxCount == 0 { maxCount, canReuse = s.countSimple(in) } else { canReuse = s.canUseTable(s.prevTable) } // We want the output size to be less than this: wantSize := len(in) if s.WantLogLess > 0 { wantSize -= wantSize >> s.WantLogLess } // Reset for next run. s.clearCount = true s.maxCount = 0 if maxCount >= len(in) { if maxCount > len(in) { return nil, false, fmt.Errorf("maxCount (%d) > length (%d)", maxCount, len(in)) } if len(in) == 1 { return nil, false, ErrIncompressible } // One symbol, use RLE return nil, false, ErrUseRLE } if maxCount == 1 || maxCount < (len(in)>>7) { // Each symbol present maximum once or too well distributed. return nil, false, ErrIncompressible } if s.Reuse == ReusePolicyMust && !canReuse { // We must reuse, but we can't. return nil, false, ErrIncompressible } if (s.Reuse == ReusePolicyPrefer || s.Reuse == ReusePolicyMust) && canReuse { keepTable := s.cTable keepTL := s.actualTableLog s.cTable = s.prevTable s.actualTableLog = s.prevTableLog s.Out, err = compressor(in) s.cTable = keepTable s.actualTableLog = keepTL if err == nil && len(s.Out) < wantSize { s.OutData = s.Out return s.Out, true, nil } if s.Reuse == ReusePolicyMust { return nil, false, ErrIncompressible } // Do not attempt to re-use later. s.prevTable = s.prevTable[:0] } // Calculate new table. err = s.buildCTable() if err != nil { return nil, false, err } if false && !s.canUseTable(s.cTable) { panic("invalid table generated") } if s.Reuse == ReusePolicyAllow && canReuse { hSize := len(s.Out) oldSize := s.prevTable.estimateSize(s.count[:s.symbolLen]) newSize := s.cTable.estimateSize(s.count[:s.symbolLen]) if oldSize <= hSize+newSize || hSize+12 >= wantSize { // Retain cTable even if we re-use. keepTable := s.cTable keepTL := s.actualTableLog s.cTable = s.prevTable s.actualTableLog = s.prevTableLog s.Out, err = compressor(in) // Restore ctable. s.cTable = keepTable s.actualTableLog = keepTL if err != nil { return nil, false, err } if len(s.Out) >= wantSize { return nil, false, ErrIncompressible } s.OutData = s.Out return s.Out, true, nil } } // Use new table err = s.cTable.write(s) if err != nil { s.OutTable = nil return nil, false, err } s.OutTable = s.Out // Compress using new table s.Out, err = compressor(in) if err != nil { s.OutTable = nil return nil, false, err } if len(s.Out) >= wantSize { s.OutTable = nil return nil, false, ErrIncompressible } // Move current table into previous. s.prevTable, s.prevTableLog, s.cTable = s.cTable, s.actualTableLog, s.prevTable[:0] s.OutData = s.Out[len(s.OutTable):] return s.Out, false, nil } // EstimateSizes will estimate the data sizes func EstimateSizes(in []byte, s *Scratch) (tableSz, dataSz, reuseSz int, err error) { s, err = s.prepare(in) if err != nil { return 0, 0, 0, err } // Create histogram, if none was provided. tableSz, dataSz, reuseSz = -1, -1, -1 maxCount := s.maxCount var canReuse = false if maxCount == 0 { maxCount, canReuse = s.countSimple(in) } else { canReuse = s.canUseTable(s.prevTable) } // We want the output size to be less than this: wantSize := len(in) if s.WantLogLess > 0 { wantSize -= wantSize >> s.WantLogLess } // Reset for next run. s.clearCount = true s.maxCount = 0 if maxCount >= len(in) { if maxCount > len(in) { return 0, 0, 0, fmt.Errorf("maxCount (%d) > length (%d)", maxCount, len(in)) } if len(in) == 1 { return 0, 0, 0, ErrIncompressible } // One symbol, use RLE return 0, 0, 0, ErrUseRLE } if maxCount == 1 || maxCount < (len(in)>>7) { // Each symbol present maximum once or too well distributed. return 0, 0, 0, ErrIncompressible } // Calculate new table. err = s.buildCTable() if err != nil { return 0, 0, 0, err } if false && !s.canUseTable(s.cTable) { panic("invalid table generated") } tableSz, err = s.cTable.estTableSize(s) if err != nil { return 0, 0, 0, err } if canReuse { reuseSz = s.prevTable.estimateSize(s.count[:s.symbolLen]) } dataSz = s.cTable.estimateSize(s.count[:s.symbolLen]) // Restore return tableSz, dataSz, reuseSz, nil } func (s *Scratch) compress1X(src []byte) ([]byte, error) { return s.compress1xDo(s.Out, src) } func (s *Scratch) compress1xDo(dst, src []byte) ([]byte, error) { var bw = bitWriter{out: dst} // N is length divisible by 4. n := len(src) n -= n & 3 cTable := s.cTable[:256] // Encode last bytes. for i := len(src) & 3; i > 0; i-- { bw.encSymbol(cTable, src[n+i-1]) } n -= 4 if s.actualTableLog <= 8 { for ; n >= 0; n -= 4 { tmp := src[n : n+4] // tmp should be len 4 bw.flush32() bw.encTwoSymbols(cTable, tmp[3], tmp[2]) bw.encTwoSymbols(cTable, tmp[1], tmp[0]) } } else { for ; n >= 0; n -= 4 { tmp := src[n : n+4] // tmp should be len 4 bw.flush32() bw.encTwoSymbols(cTable, tmp[3], tmp[2]) bw.flush32() bw.encTwoSymbols(cTable, tmp[1], tmp[0]) } } err := bw.close() return bw.out, err } var sixZeros [6]byte func (s *Scratch) compress4X(src []byte) ([]byte, error) { if len(src) < 12 { return nil, ErrIncompressible } segmentSize := (len(src) + 3) / 4 // Add placeholder for output length offsetIdx := len(s.Out) s.Out = append(s.Out, sixZeros[:]...) for i := 0; i < 4; i++ { toDo := src if len(toDo) > segmentSize { toDo = toDo[:segmentSize] } src = src[len(toDo):] var err error idx := len(s.Out) s.Out, err = s.compress1xDo(s.Out, toDo) if err != nil { return nil, err } if len(s.Out)-idx > math.MaxUint16 { // We cannot store the size in the jump table return nil, ErrIncompressible } // Write compressed length as little endian before block. if i < 3 { // Last length is not written. length := len(s.Out) - idx s.Out[i*2+offsetIdx] = byte(length) s.Out[i*2+offsetIdx+1] = byte(length >> 8) } } return s.Out, nil } // compress4Xp will compress 4 streams using separate goroutines. func (s *Scratch) compress4Xp(src []byte) ([]byte, error) { if len(src) < 12 { return nil, ErrIncompressible } // Add placeholder for output length s.Out = s.Out[:6] segmentSize := (len(src) + 3) / 4 var wg sync.WaitGroup var errs [4]error wg.Add(4) for i := 0; i < 4; i++ { toDo := src if len(toDo) > segmentSize { toDo = toDo[:segmentSize] } src = src[len(toDo):] // Separate goroutine for each block. go func(i int) { s.tmpOut[i], errs[i] = s.compress1xDo(s.tmpOut[i][:0], toDo) wg.Done() }(i) } wg.Wait() for i := 0; i < 4; i++ { if errs[i] != nil { return nil, errs[i] } o := s.tmpOut[i] if len(o) > math.MaxUint16 { // We cannot store the size in the jump table return nil, ErrIncompressible } // Write compressed length as little endian before block. if i < 3 { // Last length is not written. s.Out[i*2] = byte(len(o)) s.Out[i*2+1] = byte(len(o) >> 8) } // Write output. s.Out = append(s.Out, o...) } return s.Out, nil } // countSimple will create a simple histogram in s.count. // Returns the biggest count. // Does not update s.clearCount. func (s *Scratch) countSimple(in []byte) (max int, reuse bool) { reuse = true for _, v := range in { s.count[v]++ } m := uint32(0) if len(s.prevTable) > 0 { for i, v := range s.count[:] { if v > m { m = v } if v > 0 { s.symbolLen = uint16(i) + 1 if i >= len(s.prevTable) { reuse = false } else { if s.prevTable[i].nBits == 0 { reuse = false } } } } return int(m), reuse } for i, v := range s.count[:] { if v > m { m = v } if v > 0 { s.symbolLen = uint16(i) + 1 } } return int(m), false } func (s *Scratch) canUseTable(c cTable) bool { if len(c) < int(s.symbolLen) { return false } for i, v := range s.count[:s.symbolLen] { if v != 0 && c[i].nBits == 0 { return false } } return true } //lint:ignore U1000 used for debugging func (s *Scratch) validateTable(c cTable) bool { if len(c) < int(s.symbolLen) { return false } for i, v := range s.count[:s.symbolLen] { if v != 0 { if c[i].nBits == 0 { return false } if c[i].nBits > s.actualTableLog { return false } } } return true } // minTableLog provides the minimum logSize to safely represent a distribution. func (s *Scratch) minTableLog() uint8 { minBitsSrc := highBit32(uint32(s.br.remain())) + 1 minBitsSymbols := highBit32(uint32(s.symbolLen-1)) + 2 if minBitsSrc < minBitsSymbols { return uint8(minBitsSrc) } return uint8(minBitsSymbols) } // optimalTableLog calculates and sets the optimal tableLog in s.actualTableLog func (s *Scratch) optimalTableLog() { tableLog := s.TableLog minBits := s.minTableLog() maxBitsSrc := uint8(highBit32(uint32(s.br.remain()-1))) - 1 if maxBitsSrc < tableLog { // Accuracy can be reduced tableLog = maxBitsSrc } if minBits > tableLog { tableLog = minBits } // Need a minimum to safely represent all symbol values if tableLog < minTablelog { tableLog = minTablelog } if tableLog > tableLogMax { tableLog = tableLogMax } s.actualTableLog = tableLog } type cTableEntry struct { val uint16 nBits uint8 // We have 8 bits extra } const huffNodesMask = huffNodesLen - 1 func (s *Scratch) buildCTable() error { s.optimalTableLog() s.huffSort() if cap(s.cTable) < maxSymbolValue+1 { s.cTable = make([]cTableEntry, s.symbolLen, maxSymbolValue+1) } else { s.cTable = s.cTable[:s.symbolLen] for i := range s.cTable { s.cTable[i] = cTableEntry{} } } var startNode = int16(s.symbolLen) nonNullRank := s.symbolLen - 1 nodeNb := startNode huffNode := s.nodes[1 : huffNodesLen+1] // This overlays the slice above, but allows "-1" index lookups. // Different from reference implementation. huffNode0 := s.nodes[0 : huffNodesLen+1] for huffNode[nonNullRank].count == 0 { nonNullRank-- } lowS := int16(nonNullRank) nodeRoot := nodeNb + lowS - 1 lowN := nodeNb huffNode[nodeNb].count = huffNode[lowS].count + huffNode[lowS-1].count huffNode[lowS].parent, huffNode[lowS-1].parent = uint16(nodeNb), uint16(nodeNb) nodeNb++ lowS -= 2 for n := nodeNb; n <= nodeRoot; n++ { huffNode[n].count = 1 << 30 } // fake entry, strong barrier huffNode0[0].count = 1 << 31 // create parents for nodeNb <= nodeRoot { var n1, n2 int16 if huffNode0[lowS+1].count < huffNode0[lowN+1].count { n1 = lowS lowS-- } else { n1 = lowN lowN++ } if huffNode0[lowS+1].count < huffNode0[lowN+1].count { n2 = lowS lowS-- } else { n2 = lowN lowN++ } huffNode[nodeNb].count = huffNode0[n1+1].count + huffNode0[n2+1].count huffNode0[n1+1].parent, huffNode0[n2+1].parent = uint16(nodeNb), uint16(nodeNb) nodeNb++ } // distribute weights (unlimited tree height) huffNode[nodeRoot].nbBits = 0 for n := nodeRoot - 1; n >= startNode; n-- { huffNode[n].nbBits = huffNode[huffNode[n].parent].nbBits + 1 } for n := uint16(0); n <= nonNullRank; n++ { huffNode[n].nbBits = huffNode[huffNode[n].parent].nbBits + 1 } s.actualTableLog = s.setMaxHeight(int(nonNullRank)) maxNbBits := s.actualTableLog // fill result into tree (val, nbBits) if maxNbBits > tableLogMax { return fmt.Errorf("internal error: maxNbBits (%d) > tableLogMax (%d)", maxNbBits, tableLogMax) } var nbPerRank [tableLogMax + 1]uint16 var valPerRank [16]uint16 for _, v := range huffNode[:nonNullRank+1] { nbPerRank[v.nbBits]++ } // determine stating value per rank { min := uint16(0) for n := maxNbBits; n > 0; n-- { // get starting value within each rank valPerRank[n] = min min += nbPerRank[n] min >>= 1 } } // push nbBits per symbol, symbol order for _, v := range huffNode[:nonNullRank+1] { s.cTable[v.symbol].nBits = v.nbBits } // assign value within rank, symbol order t := s.cTable[:s.symbolLen] for n, val := range t { nbits := val.nBits & 15 v := valPerRank[nbits] t[n].val = v valPerRank[nbits] = v + 1 } return nil } // huffSort will sort symbols, decreasing order. func (s *Scratch) huffSort() { type rankPos struct { base uint32 current uint32 } // Clear nodes nodes := s.nodes[:huffNodesLen+1] s.nodes = nodes nodes = nodes[1 : huffNodesLen+1] // Sort into buckets based on length of symbol count. var rank [32]rankPos for _, v := range s.count[:s.symbolLen] { r := highBit32(v+1) & 31 rank[r].base++ } // maxBitLength is log2(BlockSizeMax) + 1 const maxBitLength = 18 + 1 for n := maxBitLength; n > 0; n-- { rank[n-1].base += rank[n].base } for n := range rank[:maxBitLength] { rank[n].current = rank[n].base } for n, c := range s.count[:s.symbolLen] { r := (highBit32(c+1) + 1) & 31 pos := rank[r].current rank[r].current++ prev := nodes[(pos-1)&huffNodesMask] for pos > rank[r].base && c > prev.count { nodes[pos&huffNodesMask] = prev pos-- prev = nodes[(pos-1)&huffNodesMask] } nodes[pos&huffNodesMask] = nodeElt{count: c, symbol: byte(n)} } } func (s *Scratch) setMaxHeight(lastNonNull int) uint8 { maxNbBits := s.actualTableLog huffNode := s.nodes[1 : huffNodesLen+1] //huffNode = huffNode[: huffNodesLen] largestBits := huffNode[lastNonNull].nbBits // early exit : no elt > maxNbBits if largestBits <= maxNbBits { return largestBits } totalCost := int(0) baseCost := int(1) << (largestBits - maxNbBits) n := uint32(lastNonNull) for huffNode[n].nbBits > maxNbBits { totalCost += baseCost - (1 << (largestBits - huffNode[n].nbBits)) huffNode[n].nbBits = maxNbBits n-- } // n stops at huffNode[n].nbBits <= maxNbBits for huffNode[n].nbBits == maxNbBits { n-- } // n end at index of smallest symbol using < maxNbBits // renorm totalCost totalCost >>= largestBits - maxNbBits /* note : totalCost is necessarily a multiple of baseCost */ // repay normalized cost { const noSymbol = 0xF0F0F0F0 var rankLast [tableLogMax + 2]uint32 for i := range rankLast[:] { rankLast[i] = noSymbol } // Get pos of last (smallest) symbol per rank { currentNbBits := maxNbBits for pos := int(n); pos >= 0; pos-- { if huffNode[pos].nbBits >= currentNbBits { continue } currentNbBits = huffNode[pos].nbBits // < maxNbBits rankLast[maxNbBits-currentNbBits] = uint32(pos) } } for totalCost > 0 { nBitsToDecrease := uint8(highBit32(uint32(totalCost))) + 1 for ; nBitsToDecrease > 1; nBitsToDecrease-- { highPos := rankLast[nBitsToDecrease] lowPos := rankLast[nBitsToDecrease-1] if highPos == noSymbol { continue } if lowPos == noSymbol { break } highTotal := huffNode[highPos].count lowTotal := 2 * huffNode[lowPos].count if highTotal <= lowTotal { break } } // only triggered when no more rank 1 symbol left => find closest one (note : there is necessarily at least one !) // HUF_MAX_TABLELOG test just to please gcc 5+; but it should not be necessary // FIXME: try to remove for (nBitsToDecrease <= tableLogMax) && (rankLast[nBitsToDecrease] == noSymbol) { nBitsToDecrease++ } totalCost -= 1 << (nBitsToDecrease - 1) if rankLast[nBitsToDecrease-1] == noSymbol { // this rank is no longer empty rankLast[nBitsToDecrease-1] = rankLast[nBitsToDecrease] } huffNode[rankLast[nBitsToDecrease]].nbBits++ if rankLast[nBitsToDecrease] == 0 { /* special case, reached largest symbol */ rankLast[nBitsToDecrease] = noSymbol } else { rankLast[nBitsToDecrease]-- if huffNode[rankLast[nBitsToDecrease]].nbBits != maxNbBits-nBitsToDecrease { rankLast[nBitsToDecrease] = noSymbol /* this rank is now empty */ } } } for totalCost < 0 { /* Sometimes, cost correction overshoot */ if rankLast[1] == noSymbol { /* special case : no rank 1 symbol (using maxNbBits-1); let's create one from largest rank 0 (using maxNbBits) */ for huffNode[n].nbBits == maxNbBits { n-- } huffNode[n+1].nbBits-- rankLast[1] = n + 1 totalCost++ continue } huffNode[rankLast[1]+1].nbBits-- rankLast[1]++ totalCost++ } } return maxNbBits } type nodeElt struct { count uint32 parent uint16 symbol byte nbBits uint8 }