▹ Example
▹ Example (Rand)
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) from the default Source. To produce a distribution with a different rate parameter, callers can adjust the output using:
sample = ExpFloat64() / desiredRateParameter
func Float32() float32
Float32 returns, as a float32, a pseudo-random number in [0.0,1.0) from the default Source.
func Float64() float64
Float64 returns, as a float64, a pseudo-random number in [0.0,1.0) from the default Source.
func Int() int
Int returns a non-negative pseudo-random int from the default Source.
func Int31() int32
Int31 returns a non-negative pseudo-random 31-bit integer as an int32 from the default Source.
func Int31n(n int32) int32
Int31n returns, as an int32, a non-negative pseudo-random number in [0,n) from the default Source. It panics if n <= 0.
func Int63() int64
Int63 returns a non-negative pseudo-random 63-bit integer as an int64 from the default Source.
func Int63n(n int64) int64
Int63n returns, as an int64, a non-negative pseudo-random number in [0,n) from the default Source. It panics if n <= 0.
func Intn(n int) int
Intn returns, as an int, a non-negative pseudo-random number in [0,n) from the default Source. It panics if n <= 0.
func NormFloat64() float64
NormFloat64 returns a normally distributed float64 in the range [-math.MaxFloat64, +math.MaxFloat64] with standard normal distribution (mean = 0, stddev = 1) from the default Source. To produce a different normal distribution, callers can adjust the output using:
sample = NormFloat64() * desiredStdDev + desiredMean
func Perm(n int) []int
Perm returns, as a slice of n ints, a pseudo-random permutation of the integers [0,n) from the default Source.
func Read(p []byte) (n int, err error)
Read generates len(p) random bytes from the default Source and writes them into p. It always returns len(p) and a nil error.
func Seed(seed int64)
Seed uses the provided seed value to initialize the default Source to a deterministic state. If Seed is not called, the generator behaves as if seeded by Seed(1).
func Uint32() uint32
Uint32 returns a pseudo-random 32-bit value as a uint32 from the default Source.
type Rand struct {
// contains filtered or unexported fields
}
A Rand is a source of random numbers.
func New(src Source) *Rand
New returns a new Rand that uses random values from src to generate other random values.
func (r *Rand) 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 (r *Rand) Float32() float32
Float32 returns, as a float32, a pseudo-random number in [0.0,1.0).
func (r *Rand) Float64() float64
Float64 returns, as a float64, a pseudo-random number in [0.0,1.0).
func (r *Rand) Int() int
Int returns a non-negative pseudo-random int.
func (r *Rand) Int31() int32
Int31 returns a non-negative pseudo-random 31-bit integer as an int32.
func (r *Rand) Int31n(n int32) int32
Int31n returns, as an int32, a non-negative pseudo-random number in [0,n). It panics if n <= 0.
func (r *Rand) Int63() int64
Int63 returns a non-negative pseudo-random 63-bit integer as an int64.
func (r *Rand) Int63n(n int64) int64
Int63n returns, as an int64, a non-negative pseudo-random number in [0,n). It panics if n <= 0.
func (r *Rand) Intn(n int) int
Intn returns, as an int, a non-negative pseudo-random number in [0,n). It panics if n <= 0.
func (r *Rand) 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
func (r *Rand) Perm(n int) []int
Perm returns, as a slice of n ints, a pseudo-random permutation of the integers [0,n).
func (r *Rand) Read(p []byte) (n int, err error)
Read generates len(p) random bytes and writes them into p. It always returns len(p) and a nil error.
func (r *Rand) Seed(seed int64)
Seed uses the provided seed value to initialize the generator to a deterministic state.
func (r *Rand) Uint32() uint32
Uint32 returns a pseudo-random 32-bit value as a uint32.
type Source interface {
Int63() int64
Seed(seed int64)
}
A Source represents a source of uniformly-distributed pseudo-random int64 values in the range [0, 1<<63).
func NewSource(seed int64) Source
NewSource returns a new pseudo-random Source seeded with the given value.
type Zipf struct {
// contains filtered or unexported fields
}
A Zipf generates Zipf distributed variates.
func NewZipf(r *Rand, s float64, v float64, imax uint64) *Zipf
NewZipf returns a Zipf variate generator. The generator generates values k ∈ [0, imax] such that P(k) is proportional to (v + k) ** (-s). Requirements: s > 1 and v >= 1.
func (z *Zipf) Uint64() uint64
Uint64 returns a value drawn from the Zipf distribution described by the Zipf object.