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https://github.com/golang/go
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6e8875551a
I have included a few important microbenchmarks, but the overall intent is to have mostly end-to-end benchmarks timing real world operations. The jsondata.go file is a summary of agl's activity in various open source repositories. It gets used as test data for many of the benchmarks. Everything links into one binary (even the test data) so that it is easy to run the benchmarks on many computers: there is just one file to copy around. R=golang-dev, r, bradfitz, adg, r CC=golang-dev https://golang.org/cl/5484071
165 lines
3.3 KiB
Go
165 lines
3.3 KiB
Go
// Copyright 2011 The Go Authors. All rights reserved.
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// Use of this source code is governed by a BSD-style
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// license that can be found in the LICENSE file.
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package go1
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// Not a benchmark; input for revcomp.
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var fasta25m = fasta(25e6)
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func fasta(n int) []byte {
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out := make(fastaBuffer, 0, 11*n)
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iub := []fastaAcid{
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{prob: 0.27, sym: 'a'},
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{prob: 0.12, sym: 'c'},
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{prob: 0.12, sym: 'g'},
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{prob: 0.27, sym: 't'},
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{prob: 0.02, sym: 'B'},
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{prob: 0.02, sym: 'D'},
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{prob: 0.02, sym: 'H'},
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{prob: 0.02, sym: 'K'},
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{prob: 0.02, sym: 'M'},
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{prob: 0.02, sym: 'N'},
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{prob: 0.02, sym: 'R'},
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{prob: 0.02, sym: 'S'},
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{prob: 0.02, sym: 'V'},
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{prob: 0.02, sym: 'W'},
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{prob: 0.02, sym: 'Y'},
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}
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homosapiens := []fastaAcid{
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{prob: 0.3029549426680, sym: 'a'},
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{prob: 0.1979883004921, sym: 'c'},
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{prob: 0.1975473066391, sym: 'g'},
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{prob: 0.3015094502008, sym: 't'},
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}
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alu := []byte(
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"GGCCGGGCGCGGTGGCTCACGCCTGTAATCCCAGCACTTTGG" +
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"GAGGCCGAGGCGGGCGGATCACCTGAGGTCAGGAGTTCGAGA" +
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"CCAGCCTGGCCAACATGGTGAAACCCCGTCTCTACTAAAAAT" +
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"ACAAAAATTAGCCGGGCGTGGTGGCGCGCGCCTGTAATCCCA" +
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"GCTACTCGGGAGGCTGAGGCAGGAGAATCGCTTGAACCCGGG" +
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"AGGCGGAGGTTGCAGTGAGCCGAGATCGCGCCACTGCACTCC" +
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"AGCCTGGGCGACAGAGCGAGACTCCGTCTCAAAAA")
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out.WriteString(">ONE Homo sapiens alu\n")
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fastaRepeat(&out, alu, 2*n)
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out.WriteString(">TWO IUB ambiguity codes\n")
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fastaRandom(&out, iub, 3*n)
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out.WriteString(">THREE Homo sapiens frequency\n")
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fastaRandom(&out, homosapiens, 5*n)
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return out
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}
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type fastaBuffer []byte
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func (b *fastaBuffer) Flush() {
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panic("flush")
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}
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func (b *fastaBuffer) WriteString(s string) {
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p := b.NextWrite(len(s))
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copy(p, s)
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}
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func (b *fastaBuffer) NextWrite(n int) []byte {
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p := *b
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if len(p)+n > cap(p) {
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b.Flush()
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p = *b
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}
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out := p[len(p) : len(p)+n]
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*b = p[:len(p)+n]
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return out
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}
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const fastaLine = 60
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func fastaRepeat(out *fastaBuffer, alu []byte, n int) {
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buf := append(alu, alu...)
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off := 0
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for n > 0 {
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m := n
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if m > fastaLine {
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m = fastaLine
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}
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buf1 := out.NextWrite(m + 1)
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copy(buf1, buf[off:])
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buf1[m] = '\n'
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if off += m; off >= len(alu) {
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off -= len(alu)
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}
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n -= m
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}
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}
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const (
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fastaLookupSize = 4096
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fastaLookupScale float64 = fastaLookupSize - 1
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)
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var fastaRand uint32 = 42
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type fastaAcid struct {
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sym byte
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prob float64
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cprob float64
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next *fastaAcid
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}
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func fastaComputeLookup(acid []fastaAcid) *[fastaLookupSize]*fastaAcid {
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var lookup [fastaLookupSize]*fastaAcid
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var p float64
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for i := range acid {
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p += acid[i].prob
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acid[i].cprob = p * fastaLookupScale
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if i > 0 {
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acid[i-1].next = &acid[i]
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}
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}
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acid[len(acid)-1].cprob = 1.0 * fastaLookupScale
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j := 0
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for i := range lookup {
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for acid[j].cprob < float64(i) {
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j++
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}
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lookup[i] = &acid[j]
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}
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return &lookup
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}
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func fastaRandom(out *fastaBuffer, acid []fastaAcid, n int) {
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const (
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IM = 139968
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IA = 3877
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IC = 29573
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)
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lookup := fastaComputeLookup(acid)
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for n > 0 {
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m := n
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if m > fastaLine {
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m = fastaLine
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}
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buf := out.NextWrite(m + 1)
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f := fastaLookupScale / IM
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myrand := fastaRand
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for i := 0; i < m; i++ {
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myrand = (myrand*IA + IC) % IM
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r := float64(int(myrand)) * f
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a := lookup[int(r)]
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for a.cprob < r {
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a = a.next
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}
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buf[i] = a.sym
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}
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fastaRand = myrand
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buf[m] = '\n'
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n -= m
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}
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}
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