Documentation ¶
Overview ¶
Package rand implements pseudo-random number generators.
Index ¶
- func ExpFloat64() float64
- func Float32() float32
- func Float64() float64
- func Int() int
- func Int31() int32
- func Int31n(n int32) int32
- func Int63() int64
- func Int63n(n int64) int64
- func Intn(n int) int
- func NormFloat64() float64
- func Perm(n int) []int
- func Seed(seed int64)
- func Uint32() uint32
- type Rand
- func (r *Rand) ExpFloat64() float64
- func (r *Rand) Float32() float32
- func (r *Rand) Float64() float64
- func (r *Rand) Int() int
- func (r *Rand) Int31() int32
- func (r *Rand) Int31n(n int32) int32
- func (r *Rand) Int63() int64
- func (r *Rand) Int63n(n int64) int64
- func (r *Rand) Intn(n int) int
- func (r *Rand) NormFloat64() float64
- func (r *Rand) Perm(n int) []int
- func (r *Rand) Seed(seed int64)
- func (r *Rand) Uint32() uint32
- type Source
- type Zipf
Constants ¶
This section is empty.
Variables ¶
This section is empty.
Functions ¶
func ExpFloat64 ¶
func ExpFloat64() float64
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 Float32 ¶
func Float32() float32
Float32 returns, as a float32, a pseudo-random number in [0.0,1.0).
func Float64 ¶
func Float64() float64
Float64 returns, as a float64, a pseudo-random number in [0.0,1.0).
func Int31 ¶
func Int31() int32
Int31 returns a non-negative pseudo-random 31-bit integer as an int32.
func Int31n ¶
Int31n returns, as an int32, a non-negative pseudo-random number in [0,n). It panics if n <= 0.
func Int63 ¶
func Int63() int64
Int63 returns a non-negative pseudo-random 63-bit integer as an int64.
func Int63n ¶
Int63n returns, as an int64, a non-negative pseudo-random number in [0,n). It panics if n <= 0.
func Intn ¶
Intn returns, as an int, a non-negative pseudo-random number in [0,n). It panics if n <= 0.
func NormFloat64 ¶
func NormFloat64() float64
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
Types ¶
type Rand ¶
type Rand struct {
// contains filtered or unexported fields
}
A Rand is a source of random numbers.
func (*Rand) ExpFloat64 ¶
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 (*Rand) Int31n ¶
Int31n returns, as an int32, a non-negative pseudo-random number in [0,n). It panics if n <= 0.
func (*Rand) Int63n ¶
Int63n returns, as an int64, a non-negative pseudo-random number in [0,n). It panics if n <= 0.
func (*Rand) Intn ¶
Intn returns, as an int, a non-negative pseudo-random number in [0,n). It panics if n <= 0.
func (*Rand) NormFloat64 ¶
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 (*Rand) Perm ¶
Perm returns, as a slice of n ints, a pseudo-random permutation of the integers [0,n).
type Source ¶
A Source represents a source of uniformly-distributed pseudo-random int64 values in the range [0, 1<<63).