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from typing import List
from numpy.random._generator import Generator as Generator
from numpy.random._generator import default_rng as default_rng
from numpy.random._mt19937 import MT19937 as MT19937
from numpy.random._pcg64 import (
PCG64 as PCG64,
PCG64DXSM as PCG64DXSM,
)
from numpy.random._philox import Philox as Philox
from numpy.random._sfc64 import SFC64 as SFC64
from numpy.random.bit_generator import BitGenerator as BitGenerator
from numpy.random.bit_generator import SeedSequence as SeedSequence
from numpy.random.mtrand import (
RandomState as RandomState,
beta as beta,
binomial as binomial,
bytes as bytes,
chisquare as chisquare,
choice as choice,
dirichlet as dirichlet,
exponential as exponential,
f as f,
gamma as gamma,
geometric as geometric,
get_state as get_state,
gumbel as gumbel,
hypergeometric as hypergeometric,
laplace as laplace,
logistic as logistic,
lognormal as lognormal,
logseries as logseries,
multinomial as multinomial,
multivariate_normal as multivariate_normal,
negative_binomial as negative_binomial,
noncentral_chisquare as noncentral_chisquare,
noncentral_f as noncentral_f,
normal as normal,
pareto as pareto,
permutation as permutation,
poisson as poisson,
power as power,
rand as rand,
randint as randint,
randn as randn,
random as random,
random_integers as random_integers,
random_sample as random_sample,
ranf as ranf,
rayleigh as rayleigh,
sample as sample,
seed as seed,
set_state as set_state,
shuffle as shuffle,
standard_cauchy as standard_cauchy,
standard_exponential as standard_exponential,
standard_gamma as standard_gamma,
standard_normal as standard_normal,
standard_t as standard_t,
triangular as triangular,
uniform as uniform,
vonmises as vonmises,
wald as wald,
weibull as weibull,
zipf as zipf,
)
__all__: List[str]