numpy.random.Philox.advance#
method
- random.Philox.advance(delta)#
Advance the underlying RNG as-if delta draws have occurred.
- Parameters
- deltainteger, positive
Number of draws to advance the RNG. Must be less than the size state variable in the underlying RNG.
- Returns
- selfPhilox
RNG advanced delta steps
Notes
Advancing a RNG updates the underlying RNG state as-if a given number of calls to the underlying RNG have been made. In general there is not a one-to-one relationship between the number output random values from a particular distribution and the number of draws from the core RNG. This occurs for two reasons:
The random values are simulated using a rejection-based method and so, on average, more than one value from the underlying RNG is required to generate an single draw.
The number of bits required to generate a simulated value differs from the number of bits generated by the underlying RNG. For example, two 16-bit integer values can be simulated from a single draw of a 32-bit RNG.
Advancing the RNG state resets any pre-computed random numbers. This is required to ensure exact reproducibility.