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- numpy.random.PCG64.jumped
...Bit generators Permuted congruential generator (64-bit, PCG64) numpy.random.PCG64.jumped...
- numpy.random.PCG64.jumped (Python method, in numpy.random.PCG64.jumped)
- numpy.random.PCG64DXSM.jumped (Python method, in numpy.random.PCG64DXSM.jumped)
- numpy.random.PCG64.jumped
...Bit generators Permuted congruential generator (64-bit, PCG64) numpy.random.PCG64.jumped...
- Parallel random number generation
...scheme does require that you avoid reusing stream IDs. This may require coordination between the parallel processes. Jumping the BitGenerator state jumped advances the state of the BitGenerator as-if a large number of random numbers have...
- Random sampling (
numpy.random
)...lel, distributed applications in a number of ways: SeedSequence spawning Sequence of integer seeds Independent streams Jumping the BitGenerator state Users with a very large amount of parallelism will want to consult Upgrading PCG64 with...
- Upgrading
PCG64
withPCG64DXSM
...If you only use a single Generator instance, only use RandomState or the functions in numpy.random, only use the PCG64.jumped method to generate parallel streams, explicitly use a BitGenerator other than PCG64, then this weakness does not...
- Bit generators
...rators do not directly provide random numbers and only contains methods used for seeding, getting or setting the state, jumping or advancing the state, and for accessing low-level wrappers for consumption by code that can efficiently access...