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// Copyright 2009 The Go Authors. All rights reserved.// Use of this source code is governed by a BSD-style// license that can be found in the LICENSE file.// Package rand implements pseudo-random number generators.package randimport "sync"// A Source represents a source of uniformly-distributed// pseudo-random int64 values in the range [0, 1<<63).type Source interface {Int63() int64Seed(seed int64)}// NewSource returns a new pseudo-random Source seeded with the given value.func NewSource(seed int64) Source {var rng rngSourcerng.Seed(seed)return &rng}// A Rand is a source of random numbers.type Rand struct {src Source}// New returns a new Rand that uses random values from src// to generate other random values.func New(src Source) *Rand { return &Rand{src} }// Seed uses the provided seed value to initialize the generator to a deterministic state.func (r *Rand) Seed(seed int64) { r.src.Seed(seed) }// Int63 returns a non-negative pseudo-random 63-bit integer as an int64.func (r *Rand) Int63() int64 { return r.src.Int63() }// Uint32 returns a pseudo-random 32-bit value as a uint32.func (r *Rand) Uint32() uint32 { return uint32(r.Int63() >> 31) }// Int31 returns a non-negative pseudo-random 31-bit integer as an int32.func (r *Rand) Int31() int32 { return int32(r.Int63() >> 32) }// Int returns a non-negative pseudo-random int.func (r *Rand) Int() int {u := uint(r.Int63())return int(u << 1 >> 1) // clear sign bit if int == int32}// Int63n returns, as an int64, a non-negative pseudo-random number in [0,n).func (r *Rand) Int63n(n int64) int64 {if n <= 0 {return 0}max := int64((1 << 63) - 1 - (1<<63)%uint64(n))v := r.Int63()for v > max {v = r.Int63()}return v % n}// Int31n returns, as an int32, a non-negative pseudo-random number in [0,n).func (r *Rand) Int31n(n int32) int32 {if n <= 0 {return 0}max := int32((1 << 31) - 1 - (1<<31)%uint32(n))v := r.Int31()for v > max {v = r.Int31()}return v % n}// Intn returns, as an int, a non-negative pseudo-random number in [0,n).func (r *Rand) Intn(n int) int {if n <= 1<<31-1 {return int(r.Int31n(int32(n)))}return int(r.Int63n(int64(n)))}// Float64 returns, as a float64, a pseudo-random number in [0.0,1.0).func (r *Rand) Float64() float64 { return float64(r.Int63()) / (1 << 63) }// Float32 returns, as a float32, a pseudo-random number in [0.0,1.0).func (r *Rand) Float32() float32 { return float32(r.Float64()) }// Perm returns, as a slice of n ints, a pseudo-random permutation of the integers [0,n).func (r *Rand) Perm(n int) []int {m := make([]int, n)for i := 0; i < n; i++ {m[i] = i}for i := 0; i < n; i++ {j := r.Intn(i + 1)m[i], m[j] = m[j], m[i]}return m}/** Top-level convenience functions*/var globalRand = New(&lockedSource{src: NewSource(1)})// Seed uses the provided seed value to initialize the generator to a// deterministic state. If Seed is not called, the generator behaves as// if seeded by Seed(1).func Seed(seed int64) { globalRand.Seed(seed) }// Int63 returns a non-negative pseudo-random 63-bit integer as an int64.func Int63() int64 { return globalRand.Int63() }// Uint32 returns a pseudo-random 32-bit value as a uint32.func Uint32() uint32 { return globalRand.Uint32() }// Int31 returns a non-negative pseudo-random 31-bit integer as an int32.func Int31() int32 { return globalRand.Int31() }// Int returns a non-negative pseudo-random int.func Int() int { return globalRand.Int() }// Int63n returns, as an int64, a non-negative pseudo-random number in [0,n).func Int63n(n int64) int64 { return globalRand.Int63n(n) }// Int31n returns, as an int32, a non-negative pseudo-random number in [0,n).func Int31n(n int32) int32 { return globalRand.Int31n(n) }// Intn returns, as an int, a non-negative pseudo-random number in [0,n).func Intn(n int) int { return globalRand.Intn(n) }// Float64 returns, as a float64, a pseudo-random number in [0.0,1.0).func Float64() float64 { return globalRand.Float64() }// Float32 returns, as a float32, a pseudo-random number in [0.0,1.0).func Float32() float32 { return globalRand.Float32() }// Perm returns, as a slice of n ints, a pseudo-random permutation of the integers [0,n).func Perm(n int) []int { return globalRand.Perm(n) }// NormFloat64 returns a normally distributed float64 in the range// [-math.MaxFloat64, +math.MaxFloat64] with// standard normal distribution (mean = 0, stddev = 1).// To produce a different normal distribution, callers can// adjust the output using://// sample = NormFloat64() * desiredStdDev + desiredMean//func NormFloat64() float64 { return globalRand.NormFloat64() }// ExpFloat64 returns an exponentially distributed float64 in the range// (0, +math.MaxFloat64] with an exponential distribution whose rate parameter// (lambda) is 1 and whose mean is 1/lambda (1).// To produce a distribution with a different rate parameter,// callers can adjust the output using://// sample = ExpFloat64() / desiredRateParameter//func ExpFloat64() float64 { return globalRand.ExpFloat64() }type lockedSource struct {lk sync.Mutexsrc Source}func (r *lockedSource) Int63() (n int64) {r.lk.Lock()n = r.src.Int63()r.lk.Unlock()return}func (r *lockedSource) Seed(seed int64) {r.lk.Lock()r.src.Seed(seed)r.lk.Unlock()}
