FM / random

/opt/imh-python/lib/python3.9/site-packages/numpy/random/

/opt/imh-python/lib/python3.9/site-packages/numpy/random

Name	Size	Mode	Actions
lib/	-	0755	rm
tests/	-	0755	rm
_examples/	-	0755	rm
__pycache__/	-	0755	rm
bit_generator.cpython-39-x86_64-linux-gnu.so	246400	0755	edit dl rm
bit_generator.pxd	1007	0644	edit dl rm
bit_generator.pyi	3510	0644	edit dl rm
c_distributions.pxd	6344	0644	edit dl rm
LICENSE.md	3511	0644	edit dl rm
mtrand.cpython-39-x86_64-linux-gnu.so	787720	0755	edit dl rm
mtrand.pyi	19753	0644	edit dl rm
_bounded_integers.cpython-39-x86_64-linux-gnu.so	383160	0755	edit dl rm
_bounded_integers.pxd	1669	0644	edit dl rm
_common.cpython-39-x86_64-linux-gnu.so	276152	0755	edit dl rm
_common.pxd	4939	0644	edit dl rm
_generator.cpython-39-x86_64-linux-gnu.so	992376	0755	edit dl rm
_generator.pyi	22442	0644	edit dl rm
_mt19937.cpython-39-x86_64-linux-gnu.so	120264	0755	edit dl rm
_mt19937.pyi	724	0644	edit dl rm
_pcg64.cpython-39-x86_64-linux-gnu.so	126424	0755	edit dl rm
_pcg64.pyi	1091	0644	edit dl rm
_philox.cpython-39-x86_64-linux-gnu.so	107408	0755	edit dl rm
_philox.pyi	978	0644	edit dl rm
_pickle.py	2318	0644	edit dl rm
_sfc64.cpython-39-x86_64-linux-gnu.so	76736	0755	edit dl rm
_sfc64.pyi	709	0644	edit dl rm
__init__.pxd	431	0644	edit dl rm
__init__.py	7506	0644	edit dl rm
__init__.pyi	2143	0644	edit dl rm

Edit: /opt/imh-python/lib/python3.9/site-packages/numpy/random/__init__.pyi (2143B)

from numpy._pytesttester import PytestTester

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_bit_generator as get_bit_generator,
    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_bit_generator as set_bit_generator,
    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]
__path__: list[str]
test: PytestTester

from numpy._pytesttester import PytestTester 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_bit_generator as get_bit_generator, 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_bit_generator as set_bit_generator, 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] __path__: list[str] test: PytestTester