Use goreleaser to build and release (#244)

Instead of using gox on one side and an action to release, we can merge
them together with goreleaser which will build for extra targets (arm,
mips if needed in the future) and it also takes care of creating
checksums, a source archive, and a changelog and creating a release with
all the artifacts.

All binaries should respect the old naming convention, so any scripts
out there should still work.

Signed-off-by: Itxaka <igarcia@suse.com>
This commit is contained in:
Itxaka
2021-08-11 08:30:55 +02:00
committed by GitHub
parent 0a4fe57f33
commit 4adc0dc9b9
1133 changed files with 81678 additions and 85598 deletions

View File

@@ -7,7 +7,12 @@ package flate
import (
"math"
"math/bits"
"sort"
)
const (
maxBitsLimit = 16
// number of valid literals
literalCount = 286
)
// hcode is a huffman code with a bit code and bit length.
@@ -19,13 +24,11 @@ type huffmanEncoder struct {
codes []hcode
freqcache []literalNode
bitCount [17]int32
lns byLiteral // stored to avoid repeated allocation in generate
lfs byFreq // stored to avoid repeated allocation in generate
}
type literalNode struct {
literal uint16
freq int32
freq uint16
}
// A levelInfo describes the state of the constructed tree for a given depth.
@@ -54,7 +57,11 @@ func (h *hcode) set(code uint16, length uint16) {
h.code = code
}
func maxNode() literalNode { return literalNode{math.MaxUint16, math.MaxInt32} }
func reverseBits(number uint16, bitLength byte) uint16 {
return bits.Reverse16(number << ((16 - bitLength) & 15))
}
func maxNode() literalNode { return literalNode{math.MaxUint16, math.MaxUint16} }
func newHuffmanEncoder(size int) *huffmanEncoder {
// Make capacity to next power of two.
@@ -64,10 +71,10 @@ func newHuffmanEncoder(size int) *huffmanEncoder {
// Generates a HuffmanCode corresponding to the fixed literal table
func generateFixedLiteralEncoding() *huffmanEncoder {
h := newHuffmanEncoder(maxNumLit)
h := newHuffmanEncoder(literalCount)
codes := h.codes
var ch uint16
for ch = 0; ch < maxNumLit; ch++ {
for ch = 0; ch < literalCount; ch++ {
var bits uint16
var size uint16
switch {
@@ -75,17 +82,14 @@ func generateFixedLiteralEncoding() *huffmanEncoder {
// size 8, 000110000 .. 10111111
bits = ch + 48
size = 8
break
case ch < 256:
// size 9, 110010000 .. 111111111
bits = ch + 400 - 144
size = 9
break
case ch < 280:
// size 7, 0000000 .. 0010111
bits = ch - 256
size = 7
break
default:
// size 8, 11000000 .. 11000111
bits = ch + 192 - 280
@@ -105,10 +109,10 @@ func generateFixedOffsetEncoding() *huffmanEncoder {
return h
}
var fixedLiteralEncoding *huffmanEncoder = generateFixedLiteralEncoding()
var fixedOffsetEncoding *huffmanEncoder = generateFixedOffsetEncoding()
var fixedLiteralEncoding = generateFixedLiteralEncoding()
var fixedOffsetEncoding = generateFixedOffsetEncoding()
func (h *huffmanEncoder) bitLength(freq []int32) int {
func (h *huffmanEncoder) bitLength(freq []uint16) int {
var total int
for i, f := range freq {
if f != 0 {
@@ -118,7 +122,15 @@ func (h *huffmanEncoder) bitLength(freq []int32) int {
return total
}
const maxBitsLimit = 16
func (h *huffmanEncoder) bitLengthRaw(b []byte) int {
var total int
for _, f := range b {
if f != 0 {
total += int(h.codes[f].len)
}
}
return total
}
// Return the number of literals assigned to each bit size in the Huffman encoding
//
@@ -163,9 +175,9 @@ func (h *huffmanEncoder) bitCounts(list []literalNode, maxBits int32) []int32 {
// We initialize the levels as if we had already figured this out.
levels[level] = levelInfo{
level: level,
lastFreq: list[1].freq,
nextCharFreq: list[2].freq,
nextPairFreq: list[0].freq + list[1].freq,
lastFreq: int32(list[1].freq),
nextCharFreq: int32(list[2].freq),
nextPairFreq: int32(list[0].freq) + int32(list[1].freq),
}
leafCounts[level][level] = 2
if level == 1 {
@@ -197,7 +209,12 @@ func (h *huffmanEncoder) bitCounts(list []literalNode, maxBits int32) []int32 {
l.lastFreq = l.nextCharFreq
// Lower leafCounts are the same of the previous node.
leafCounts[level][level] = n
l.nextCharFreq = list[n].freq
e := list[n]
if e.literal < math.MaxUint16 {
l.nextCharFreq = int32(e.freq)
} else {
l.nextCharFreq = math.MaxInt32
}
} else {
// The next item on this row is a pair from the previous row.
// nextPairFreq isn't valid until we generate two
@@ -260,7 +277,7 @@ func (h *huffmanEncoder) assignEncodingAndSize(bitCount []int32, list []literalN
// assigned in literal order (not frequency order).
chunk := list[len(list)-int(bits):]
h.lns.sort(chunk)
sortByLiteral(chunk)
for _, node := range chunk {
h.codes[node.literal] = hcode{code: reverseBits(code, uint8(n)), len: uint16(n)}
code++
@@ -273,12 +290,12 @@ func (h *huffmanEncoder) assignEncodingAndSize(bitCount []int32, list []literalN
//
// freq An array of frequencies, in which frequency[i] gives the frequency of literal i.
// maxBits The maximum number of bits to use for any literal.
func (h *huffmanEncoder) generate(freq []int32, maxBits int32) {
func (h *huffmanEncoder) generate(freq []uint16, maxBits int32) {
if h.freqcache == nil {
// Allocate a reusable buffer with the longest possible frequency table.
// Possible lengths are codegenCodeCount, offsetCodeCount and maxNumLit.
// The largest of these is maxNumLit, so we allocate for that case.
h.freqcache = make([]literalNode, maxNumLit+1)
// Possible lengths are codegenCodeCount, offsetCodeCount and literalCount.
// The largest of these is literalCount, so we allocate for that case.
h.freqcache = make([]literalNode, literalCount+1)
}
list := h.freqcache[:len(freq)+1]
// Number of non-zero literals
@@ -305,7 +322,7 @@ func (h *huffmanEncoder) generate(freq []int32, maxBits int32) {
}
return
}
h.lfs.sort(list)
sortByFreq(list)
// Get the number of literals for each bit count
bitCount := h.bitCounts(list, maxBits)
@@ -313,35 +330,47 @@ func (h *huffmanEncoder) generate(freq []int32, maxBits int32) {
h.assignEncodingAndSize(bitCount, list)
}
type byLiteral []literalNode
func (s *byLiteral) sort(a []literalNode) {
*s = byLiteral(a)
sort.Sort(s)
}
func (s byLiteral) Len() int { return len(s) }
func (s byLiteral) Less(i, j int) bool {
return s[i].literal < s[j].literal
}
func (s byLiteral) Swap(i, j int) { s[i], s[j] = s[j], s[i] }
type byFreq []literalNode
func (s *byFreq) sort(a []literalNode) {
*s = byFreq(a)
sort.Sort(s)
}
func (s byFreq) Len() int { return len(s) }
func (s byFreq) Less(i, j int) bool {
if s[i].freq == s[j].freq {
return s[i].literal < s[j].literal
func atLeastOne(v float32) float32 {
if v < 1 {
return 1
}
return s[i].freq < s[j].freq
return v
}
func (s byFreq) Swap(i, j int) { s[i], s[j] = s[j], s[i] }
// Unassigned values are assigned '1' in the histogram.
func fillHist(b []uint16) {
for i, v := range b {
if v == 0 {
b[i] = 1
}
}
}
// histogramSize accumulates a histogram of b in h.
// An estimated size in bits is returned.
// len(h) must be >= 256, and h's elements must be all zeroes.
func histogramSize(b []byte, h []uint16, fill bool) (bits int) {
h = h[:256]
for _, t := range b {
h[t]++
}
total := len(b)
if fill {
for _, v := range h {
if v == 0 {
total++
}
}
}
invTotal := 1.0 / float32(total)
shannon := float32(0.0)
for _, v := range h {
if v > 0 {
n := float32(v)
shannon += atLeastOne(-mFastLog2(n*invTotal)) * n
}
}
return int(shannon + 0.99)
}