Goroutine-safe, Faster pseudo-random number and string generator.
- Non-goroutine-safe:
var Random = rand.New(rand.NewSource(time.Now().UnixNano())) - Goroutine-safe:
var Random = NewRand(), and has super high performance. See: Benchmarks.
go get -u github.com/fufuok/randompackage main
import (
"fmt"
"github.com/fufuok/random"
)
func main() {
// random.Rand is a goroutine-safe rand.New() instance
// FastIntn similar to rand.Intn or random.Rand.Intn, but faster.
for i := 1; i <= 1000000; i *= 10 {
fmt.Print(random.Rand.Intn(i), random.FastIntn(i), " ")
}
fmt.Println()
// Fast random string generator
fmt.Println(random.RandString(20), random.RandString(20))
// Instantiate *rand.Rand with the current time by default
rd := random.NewRand()
fmt.Println(rd.Int63())
// Returns a new pseudo-random generator seeded with the given value.
rd = random.NewRand(1)
fmt.Println(rd.Int63())
}please see: examples
package random // import "github.com/fufuok/random"
var Rand = NewRand()
func FastIntn(n int) int
func FastRand() uint32
func FastRandBytes(n int) []byte
func FastRandn(n uint32) uint32
func NewRand(seed ...int64) *rand.Rand
func RandBytes(n int) []byte
func RandHex(nHalf int) string
func RandInt(min, max int) int
func RandString(n int) string
func RandUint32(min, max uint32) uint32go test -run=^$ -benchmem -benchtime=1s -count=2 -bench=.
goos: linux
goarch: amd64
pkg: github.com/fufuok/random
cpu: Intel(R) Xeon(R) Gold 6151 CPU @ 3.00GHz
BenchmarkRandInt/RandInt-4 300554511 3.982 ns/op 0 B/op 0 allocs/op
BenchmarkRandInt/RandInt-4 299879216 4.007 ns/op 0 B/op 0 allocs/op
BenchmarkRandInt/RandUint32-4 266118160 4.466 ns/op 0 B/op 0 allocs/op
BenchmarkRandInt/RandUint32-4 266337582 4.507 ns/op 0 B/op 0 allocs/op
BenchmarkRandInt/FastIntn-4 313761758 3.834 ns/op 0 B/op 0 allocs/op
BenchmarkRandInt/FastIntn-4 312968804 3.811 ns/op 0 B/op 0 allocs/op
BenchmarkRandInt/Rand.Intn-4 35001715 34.30 ns/op 0 B/op 0 allocs/op
BenchmarkRandInt/Rand.Intn-4 34904052 34.54 ns/op 0 B/op 0 allocs/op
BenchmarkRandInt/std.rand.Intn-4 56418733 21.57 ns/op 0 B/op 0 allocs/op
BenchmarkRandInt/std.rand.Intn-4 56331698 21.41 ns/op 0 B/op 0 allocs/op
BenchmarkRandIntParallel/RandInt-4 1000000000 1.060 ns/op 0 B/op 0 allocs/op
BenchmarkRandIntParallel/RandInt-4 1000000000 1.045 ns/op 0 B/op 0 allocs/op
BenchmarkRandIntParallel/RandUint32-4 990860647 1.197 ns/op 0 B/op 0 allocs/op
BenchmarkRandIntParallel/RandUint32-4 1000000000 1.182 ns/op 0 B/op 0 allocs/op
BenchmarkRandIntParallel/FastIntn-4 1000000000 1.060 ns/op 0 B/op 0 allocs/op
BenchmarkRandIntParallel/FastIntn-4 1000000000 1.055 ns/op 0 B/op 0 allocs/op
BenchmarkRandIntParallel/Rand.Intn-4 130758892 9.132 ns/op 0 B/op 0 allocs/op
BenchmarkRandIntParallel/Rand.Intn-4 130173494 9.065 ns/op 0 B/op 0 allocs/op
BenchmarkRandIntParallel/std.rand.Intn-4 13878208 88.73 ns/op 0 B/op 0 allocs/op
BenchmarkRandIntParallel/std.rand.Intn-4 13828624 89.97 ns/op 0 B/op 0 allocs/op
BenchmarkRandBytes/RandString-4 18142927 64.27 ns/op 24 B/op 1 allocs/op
BenchmarkRandBytes/RandString-4 18944168 64.43 ns/op 24 B/op 1 allocs/op
BenchmarkRandBytes/RandBytes-4 1730853 694.3 ns/op 24 B/op 1 allocs/op
BenchmarkRandBytes/RandBytes-4 1719566 687.4 ns/op 24 B/op 1 allocs/op
BenchmarkRandBytes/FastRandBytes-4 18185881 64.99 ns/op 24 B/op 1 allocs/op
BenchmarkRandBytes/FastRandBytes-4 18052567 65.73 ns/op 24 B/op 1 allocs/op
BenchmarkRandBytesParallel/RandString-4 63093751 19.00 ns/op 24 B/op 1 allocs/op
BenchmarkRandBytesParallel/RandString-4 67928510 19.29 ns/op 24 B/op 1 allocs/op
BenchmarkRandBytesParallel/RandBytes-4 1309642 916.2 ns/op 24 B/op 1 allocs/op
BenchmarkRandBytesParallel/RandBytes-4 1315711 916.6 ns/op 24 B/op 1 allocs/op
BenchmarkRandBytesParallel/FastRandBytes-4 64837544 20.05 ns/op 24 B/op 1 allocs/op
BenchmarkRandBytesParallel/FastRandBytes-4 65973478 19.52 ns/op 24 B/op 1 allocs/opff