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# numpy.random.Philox.advance

method

random.Philox.advance(delta)

  Advance the underlying RNG as-if delta draws have occurred.

  Parameters:
    delta integer, positive

      Number of draws to advance the RNG. Must be less than the size state variable in the underlying RNG.

  Returns:
    self Philox

      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 a 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.