Random Key Generator In Python

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Container for the Philox (4x64) pseudo-random number generator.

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Parameters:

Parameters:	seed:{None, int, array_like[ints], ISeedSequence}, optional A seed to initialize the BitGenerator. If None, then fresh,unpredictable entropy will be pulled from the OS. If an `int` or`array_like[ints]` is passed, then it will be passed toSeedSequence to derive the initial BitGenerator state. One may alsopass in an implementor of the ISeedSequence interface likeSeedSequence. counter:{None, int, array_like}, optional Counter to use in the Philox state. Can be eithera Python int (long in 2.x) in [0, 2256) or a 4-element uint64 array.If not provided, the RNG is initialized at 0. key:{None, int, array_like}, optional Key to use in the Philox state. Unlike seed, the value in key isdirectly set. Can be either a Python int in [0, 2128) or a 2-elementuint64 array. key and seed cannot both be used.

seed:{None, int, array_like[ints], ISeedSequence}, optional: A seed to initialize the BitGenerator. If None, then fresh,unpredictable entropy will be pulled from the OS. If an int orarray_like[ints] is passed, then it will be passed toSeedSequence to derive the initial BitGenerator state. One may alsopass in an implementor of the ISeedSequence interface likeSeedSequence.
counter:{None, int, array_like}, optional: Counter to use in the Philox state. Can be eithera Python int (long in 2.x) in [0, 2**256) or a 4-element uint64 array.If not provided, the RNG is initialized at 0.
key:{None, int, array_like}, optional: Key to use in the Philox state. Unlike seed, the value in key isdirectly set. Can be either a Python int in [0, 2**128) or a 2-elementuint64 array. key and seed cannot both be used.

Notes

Philox is a 64-bit PRNG that uses a counter-based design based on weaker(and faster) versions of cryptographic functions [1]. Instances usingdifferent values of the key produce independent sequences. Philox has aperiod of and supports arbitrary advancing and jumpingthe sequence in increments of . These features allowmultiple non-overlapping sequences to be generated.

Philox provides a capsule containing function pointers that producedoubles, and unsigned 32 and 64- bit integers. These are notdirectly consumable in Python and must be consumed by a Generatoror similar object that supports low-level access.

State and Seeding

The Philox state vector consists of a 256-bit value encoded asa 4-element uint64 array and a 128-bit value encoded as a 2-element uint64array. The former is a counter which is incremented by 1 for every 4 64-bitrandoms produced. The second is a key which determined the sequenceproduced. Using different keys produces independent sequences.

The input seed is processed by SeedSequence to generate the key. Thecounter is set to 0.

Alternately, one can omit the seed parameter and set the key andcounter directly.

Parallel Features

Random Key Generator Python

The preferred way to use a BitGenerator in parallel applications is to usethe SeedSequence.spawn method to obtain entropy values, and to use theseto generate new BitGenerators:

Philox can be used in parallel applications by calling the jumpedmethod to advances the state as-if random numbers havebeen generated. Alternatively, advance can be used to advance thecounter for any positive step in [0, 2**256). When using jumped, allgenerators should be chained to ensure that the segments come from the samesequence.

Alternatively, Philox God of war 3 key generator download. can be used in parallel applications by usinga sequence of distinct keys where each instance uses different key.

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Compatibility Guarantee

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Philox makes a guarantee that a fixed seed will always producethe same random integer stream.

References

[1]	John K. Salmon, Mark A. Moraes, Ron O. Dror, and David E. Shaw,“Parallel Random Numbers: As Easy as 1, 2, 3,” Proceedings ofthe International Conference for High Performance Computing,Networking, Storage and Analysis (SC11), New York, NY: ACM, 2011.

Examples

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Attributes:	lock: threading.Lock Lock instance that is shared so that the same bit git generator canbe used in multiple Generators without corrupting the state. Code thatgenerates values from a bit generator should hold the bit generator’slock.