1 // Copyright 2009 The Go Authors. All rights reserved.
2 // Use of this source code is governed by a BSD-style
3 // license that can be found in the LICENSE file.
5 // Package rand implements pseudo-random number generators.
7 // Random numbers are generated by a Source. Top-level functions, such as
8 // Float64 and Int, use a default shared Source that produces a deterministic
9 // sequence of values each time a program is run. Use the Seed function to
10 // initialize the default Source if different behavior is required for each run.
11 // The default Source is safe for concurrent use by multiple goroutines.
16 // A Source represents a source of uniformly-distributed
17 // pseudo-random int64 values in the range [0, 1<<63).
18 type Source
interface {
23 // NewSource returns a new pseudo-random Source seeded with the given value.
24 func NewSource(seed
int64) Source
{
30 // A Rand is a source of random numbers.
35 // New returns a new Rand that uses random values from src
36 // to generate other random values.
37 func New(src Source
) *Rand
{ return &Rand
{src
} }
39 // Seed uses the provided seed value to initialize the generator to a deterministic state.
40 func (r
*Rand
) Seed(seed
int64) { r
.src
.Seed(seed
) }
42 // Int63 returns a non-negative pseudo-random 63-bit integer as an int64.
43 func (r
*Rand
) Int63() int64 { return r
.src
.Int63() }
45 // Uint32 returns a pseudo-random 32-bit value as a uint32.
46 func (r
*Rand
) Uint32() uint32 { return uint32(r
.Int63() >> 31) }
48 // Int31 returns a non-negative pseudo-random 31-bit integer as an int32.
49 func (r
*Rand
) Int31() int32 { return int32(r
.Int63() >> 32) }
51 // Int returns a non-negative pseudo-random int.
52 func (r
*Rand
) Int() int {
54 return int(u
<< 1 >> 1) // clear sign bit if int == int32
57 // Int63n returns, as an int64, a non-negative pseudo-random number in [0,n).
58 // It panics if n <= 0.
59 func (r
*Rand
) Int63n(n
int64) int64 {
61 panic("invalid argument to Int63n")
63 if n
&(n
-1) == 0 { // n is power of two, can mask
64 return r
.Int63() & (n
- 1)
66 max
:= int64((1 << 63) - 1 - (1<<63)%uint
64(n
))
74 // Int31n returns, as an int32, a non-negative pseudo-random number in [0,n).
75 // It panics if n <= 0.
76 func (r
*Rand
) Int31n(n
int32) int32 {
78 panic("invalid argument to Int31n")
80 if n
&(n
-1) == 0 { // n is power of two, can mask
81 return r
.Int31() & (n
- 1)
83 max
:= int32((1 << 31) - 1 - (1<<31)%uint
32(n
))
91 // Intn returns, as an int, a non-negative pseudo-random number in [0,n).
92 // It panics if n <= 0.
93 func (r
*Rand
) Intn(n
int) int {
95 panic("invalid argument to Intn")
98 return int(r
.Int31n(int32(n
)))
100 return int(r
.Int63n(int64(n
)))
103 // Float64 returns, as a float64, a pseudo-random number in [0.0,1.0).
104 func (r
*Rand
) Float64() float64 {
105 // A clearer, simpler implementation would be:
106 // return float64(r.Int63n(1<<53)) / (1<<53)
107 // However, Go 1 shipped with
108 // return float64(r.Int63()) / (1 << 63)
109 // and we want to preserve that value stream.
111 // There is one bug in the value stream: r.Int63() may be so close
112 // to 1<<63 that the division rounds up to 1.0, and we've guaranteed
113 // that the result is always less than 1.0. To fix that, we treat the
114 // range as cyclic and map 1 back to 0. This is justified by observing
115 // that while some of the values rounded down to 0, nothing was
116 // rounding up to 0, so 0 was underrepresented in the results.
117 // Mapping 1 back to zero restores some balance.
118 // (The balance is not perfect because the implementation
119 // returns denormalized numbers for very small r.Int63(),
120 // and those steal from what would normally be 0 results.)
121 // The remapping only happens 1/2⁵³ of the time, so most clients
122 // will not observe it anyway.
123 f
:= float64(r
.Int63()) / (1 << 63)
130 // Float32 returns, as a float32, a pseudo-random number in [0.0,1.0).
131 func (r
*Rand
) Float32() float32 {
132 // Same rationale as in Float64: we want to preserve the Go 1 value
133 // stream except we want to fix it not to return 1.0
134 // There is a double rounding going on here, but the argument for
135 // mapping 1 to 0 still applies: 0 was underrepresented before,
136 // so mapping 1 to 0 doesn't cause too many 0s.
137 // This only happens 1/2²⁴ of the time (plus the 1/2⁵³ of the time in Float64).
138 f
:= float32(r
.Float64())
145 // Perm returns, as a slice of n ints, a pseudo-random permutation of the integers [0,n).
146 func (r
*Rand
) Perm(n
int) []int {
148 for i
:= 0; i
< n
; i
++ {
157 * Top-level convenience functions
160 var globalRand
= New(&lockedSource
{src
: NewSource(1)})
162 // Seed uses the provided seed value to initialize the default Source to a
163 // deterministic state. If Seed is not called, the generator behaves as
164 // if seeded by Seed(1).
165 func Seed(seed
int64) { globalRand
.Seed(seed
) }
167 // Int63 returns a non-negative pseudo-random 63-bit integer as an int64
168 // from the default Source.
169 func Int63() int64 { return globalRand
.Int63() }
171 // Uint32 returns a pseudo-random 32-bit value as a uint32
172 // from the default Source.
173 func Uint32() uint32 { return globalRand
.Uint32() }
175 // Int31 returns a non-negative pseudo-random 31-bit integer as an int32
176 // from the default Source.
177 func Int31() int32 { return globalRand
.Int31() }
179 // Int returns a non-negative pseudo-random int from the default Source.
180 func Int() int { return globalRand
.Int() }
182 // Int63n returns, as an int64, a non-negative pseudo-random number in [0,n)
183 // from the default Source.
184 // It panics if n <= 0.
185 func Int63n(n
int64) int64 { return globalRand
.Int63n(n
) }
187 // Int31n returns, as an int32, a non-negative pseudo-random number in [0,n)
188 // from the default Source.
189 // It panics if n <= 0.
190 func Int31n(n
int32) int32 { return globalRand
.Int31n(n
) }
192 // Intn returns, as an int, a non-negative pseudo-random number in [0,n)
193 // from the default Source.
194 // It panics if n <= 0.
195 func Intn(n
int) int { return globalRand
.Intn(n
) }
197 // Float64 returns, as a float64, a pseudo-random number in [0.0,1.0)
198 // from the default Source.
199 func Float64() float64 { return globalRand
.Float64() }
201 // Float32 returns, as a float32, a pseudo-random number in [0.0,1.0)
202 // from the default Source.
203 func Float32() float32 { return globalRand
.Float32() }
205 // Perm returns, as a slice of n ints, a pseudo-random permutation of the integers [0,n)
206 // from the default Source.
207 func Perm(n
int) []int { return globalRand
.Perm(n
) }
209 // NormFloat64 returns a normally distributed float64 in the range
210 // [-math.MaxFloat64, +math.MaxFloat64] with
211 // standard normal distribution (mean = 0, stddev = 1)
212 // from the default Source.
213 // To produce a different normal distribution, callers can
214 // adjust the output using:
216 // sample = NormFloat64() * desiredStdDev + desiredMean
218 func NormFloat64() float64 { return globalRand
.NormFloat64() }
220 // ExpFloat64 returns an exponentially distributed float64 in the range
221 // (0, +math.MaxFloat64] with an exponential distribution whose rate parameter
222 // (lambda) is 1 and whose mean is 1/lambda (1) from the default Source.
223 // To produce a distribution with a different rate parameter,
224 // callers can adjust the output using:
226 // sample = ExpFloat64() / desiredRateParameter
228 func ExpFloat64() float64 { return globalRand
.ExpFloat64() }
230 type lockedSource
struct {
235 func (r
*lockedSource
) Int63() (n
int64) {
242 func (r
*lockedSource
) Seed(seed
int64) {