crypto/blake2b: put architecture-dependent features behind build-tag (#28381)
This change to fixes a compilation-flaw on master, by putting architecture-specific functions behind corresponding build tags.
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75
crypto/blake2b/blake2b_f_fuzz_test.go
Normal file
75
crypto/blake2b/blake2b_f_fuzz_test.go
Normal file
@ -0,0 +1,75 @@
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// Only enable fuzzer on platforms with AVX enabled
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//go:build go1.7 && amd64 && !gccgo && !appengine
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// +build go1.7,amd64,!gccgo,!appengine
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package blake2b
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import (
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"encoding/binary"
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"testing"
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)
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func Fuzz(f *testing.F) {
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f.Fuzz(func(t *testing.T, data []byte) {
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fuzz(data)
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})
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}
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func fuzz(data []byte) {
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// Make sure the data confirms to the input model
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if len(data) != 211 {
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return
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}
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// Parse everything and call all the implementations
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var (
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rounds = binary.BigEndian.Uint16(data[0:2])
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h [8]uint64
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m [16]uint64
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t [2]uint64
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f uint64
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)
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for i := 0; i < 8; i++ {
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offset := 2 + i*8
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h[i] = binary.LittleEndian.Uint64(data[offset : offset+8])
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}
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for i := 0; i < 16; i++ {
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offset := 66 + i*8
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m[i] = binary.LittleEndian.Uint64(data[offset : offset+8])
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}
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t[0] = binary.LittleEndian.Uint64(data[194:202])
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t[1] = binary.LittleEndian.Uint64(data[202:210])
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if data[210]%2 == 1 { // Avoid spinning the fuzzer to hit 0/1
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f = 0xFFFFFFFFFFFFFFFF
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}
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// Run the blake2b compression on all instruction sets and cross reference
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want := h
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fGeneric(&want, &m, t[0], t[1], f, uint64(rounds))
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have := h
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if useSSE4 {
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fSSE4(&have, &m, t[0], t[1], f, uint64(rounds))
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if have != want {
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panic("SSE4 mismatches generic algo")
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}
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}
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if useAVX {
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have = h
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fAVX(&have, &m, t[0], t[1], f, uint64(rounds))
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if have != want {
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panic("AVX mismatches generic algo")
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}
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}
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if useAVX2 {
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have = h
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fAVX2(&have, &m, t[0], t[1], f, uint64(rounds))
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if have != want {
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panic("AVX2 mismatches generic algo")
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}
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}
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}
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@ -1,7 +1,6 @@
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package blake2b
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import (
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"encoding/binary"
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"fmt"
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"reflect"
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"testing"
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@ -58,60 +57,3 @@ var testVectorsF = []testVector{
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},
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},
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}
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func Fuzz(f *testing.F) {
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f.Fuzz(func(t *testing.T, data []byte) {
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fuzz(data)
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})
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}
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func fuzz(data []byte) {
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// Make sure the data confirms to the input model
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if len(data) != 211 {
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return
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}
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// Parse everything and call all the implementations
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var (
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rounds = binary.BigEndian.Uint16(data[0:2])
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h [8]uint64
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m [16]uint64
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t [2]uint64
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f uint64
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)
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for i := 0; i < 8; i++ {
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offset := 2 + i*8
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h[i] = binary.LittleEndian.Uint64(data[offset : offset+8])
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}
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for i := 0; i < 16; i++ {
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offset := 66 + i*8
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m[i] = binary.LittleEndian.Uint64(data[offset : offset+8])
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}
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t[0] = binary.LittleEndian.Uint64(data[194:202])
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t[1] = binary.LittleEndian.Uint64(data[202:210])
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if data[210]%2 == 1 { // Avoid spinning the fuzzer to hit 0/1
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f = 0xFFFFFFFFFFFFFFFF
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}
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// Run the blake2b compression on all instruction sets and cross reference
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want := h
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fGeneric(&want, &m, t[0], t[1], f, uint64(rounds))
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have := h
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fSSE4(&have, &m, t[0], t[1], f, uint64(rounds))
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if have != want {
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panic("SSE4 mismatches generic algo")
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}
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have = h
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fAVX(&have, &m, t[0], t[1], f, uint64(rounds))
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if have != want {
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panic("AVX mismatches generic algo")
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}
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have = h
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fAVX2(&have, &m, t[0], t[1], f, uint64(rounds))
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if have != want {
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panic("AVX2 mismatches generic algo")
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}
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}
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