Mojo struct
NormalRandom
struct NormalRandom[rounds: Int = 6]
A high-performance random number generator using the Box-Muller transform.
The Box-Muller transform is a method for generating pairs of independent standard normal random variables.
Parameters
- rounds (
Int): Number of mixing rounds to perform for the underlying random uniform generator that serves as input to the Box-Muller transform. Higher values provide better statistical quality at the cost of performance. Default is 6.
Implemented traits
AnyType,
UnknownDestructibility
Aliases
__del__is_trivial
alias __del__is_trivial = True
Methods
__init__
__init__(out self, *, seed: SIMD[uint64, 1] = 0, subsequence: SIMD[uint64, 1] = 0, offset: SIMD[uint64, 1] = 0)
step_normal
step_normal(mut self, mean: SIMD[float32, 1] = 0, stddev: SIMD[float32, 1] = 1) -> SIMD[float32, 8]
Generate 8 normally distributed random numbers using Box-Muller transform.
Returns:
SIMD: SIMD vector containing 8 random float32 values from a normal distribution with mean mean and standard deviation stddev.
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