Mojo module

philox

Random number generation using the Philox algorithm.

This module implements a high-performance random number generator using the Philox algorithm, which is designed for parallel computing and works efficiently on both CPU and GPU. The Philox algorithm is a counter-based random number generator that provides high-quality random numbers with excellent statistical properties.

The main class is Random which generates both uniform random numbers and raw 32-bit integers. It supports:

Seeding for reproducible sequences
Multiple independent subsequences
Configurable number of rounds for quality vs performance tradeoff
Vectorized operations for efficiency
Cross-platform support (CPU and GPU)

Example:

from random.philox import Random
    rng = Random(seed=42)
    uniform_values = rng.step_uniform()  # Returns 4 random floats in [0,1)
    raw_values = rng.step()  # Returns 4 raw 32-bit integers

Structs

NormalRandom: A high-performance random number generator using the Box-Muller transform.
Random: A high-performance random number generator using the Philox algorithm.

Structs​

Structs