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numpy.random.PCG64.advance
method
- PCG64.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
- 
      - selfPCG64
- 
        RNG advanced delta steps 
 
 NotesAdvancing 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. 
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 https://numpy.org/doc/1.19/reference/random/bit_generators/generated/numpy.random.PCG64.advance.html