SHISHUA for Python: The fastest PRNG

The official page for SHISHUA is here.
This PyPI package provides bindings for Python.

from shishua import SHISHUA
rng = SHISHUA(0)
buffer = rng.random_raw(1 << 30)  # 1 GiB
# It takes 1s on my laptop.

NumPy support:

import numpy
from shishua import SHISHUA
buffer = numpy.random.Generator(SHISHUA()).bytes(1024)
print(buffer.hex())

API

SHISHUA(seed=None)

Returns a generator instance initialized with the given seed.

The seed determines the sequence of numbers that this function returns:

print(SHISHUA('seed').random_raw(10).hex())
#> 1aa64a39f6949b969e97
print(SHISHUA('seed').random_raw(10).hex())
#> 1aa64a39f6949b969e97
print(SHISHUA('different seed, different values').random_raw(10).hex())
#> 216a0889a858eb57ae30

The seed can be either:

• A list of four 64-bit integers, to map exactly to the functionality provided by the underlying SHISHUA algorithm,
• A string, which is hashed into the four integers,
• A single integer, which sets the first of the four,
• If not provided (or undefined), a random seed is generated from the system's CSPRNG.

Associated methods

The object returned by calling SHISHUA() also has the following methods, which all tap into the stream generated by the seed:

• .random_raw(size), which returns a bytes filled with random bytes.