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# Licensed under the LGPL: https://www.gnu.org/licenses/old-licenses/lgpl-2.1.en.html
# For details: https://github.com/PyCQA/astroid/blob/main/LICENSE
# Copyright (c) https://github.com/PyCQA/astroid/blob/main/CONTRIBUTORS.txt
# TODO(hippo91) : correct the functions return types
"""Astroid hooks for numpy.random.mtrand module."""
from astroid.brain.helpers import register_module_extender
from astroid.builder import parse
from astroid.manager import AstroidManager
def numpy_random_mtrand_transform():
return parse(
"""
def beta(a, b, size=None): return uninferable
def binomial(n, p, size=None): return uninferable
def bytes(length): return uninferable
def chisquare(df, size=None): return uninferable
def choice(a, size=None, replace=True, p=None): return uninferable
def dirichlet(alpha, size=None): return uninferable
def exponential(scale=1.0, size=None): return uninferable
def f(dfnum, dfden, size=None): return uninferable
def gamma(shape, scale=1.0, size=None): return uninferable
def geometric(p, size=None): return uninferable
def get_state(): return uninferable
def gumbel(loc=0.0, scale=1.0, size=None): return uninferable
def hypergeometric(ngood, nbad, nsample, size=None): return uninferable
def laplace(loc=0.0, scale=1.0, size=None): return uninferable
def logistic(loc=0.0, scale=1.0, size=None): return uninferable
def lognormal(mean=0.0, sigma=1.0, size=None): return uninferable
def logseries(p, size=None): return uninferable
def multinomial(n, pvals, size=None): return uninferable
def multivariate_normal(mean, cov, size=None): return uninferable
def negative_binomial(n, p, size=None): return uninferable
def noncentral_chisquare(df, nonc, size=None): return uninferable
def noncentral_f(dfnum, dfden, nonc, size=None): return uninferable
def normal(loc=0.0, scale=1.0, size=None): return uninferable
def pareto(a, size=None): return uninferable
def permutation(x): return uninferable
def poisson(lam=1.0, size=None): return uninferable
def power(a, size=None): return uninferable
def rand(*args): return uninferable
def randint(low, high=None, size=None, dtype='l'):
import numpy
return numpy.ndarray((1,1))
def randn(*args): return uninferable
def random(size=None): return uninferable
def random_integers(low, high=None, size=None): return uninferable
def random_sample(size=None): return uninferable
def rayleigh(scale=1.0, size=None): return uninferable
def seed(seed=None): return uninferable
def set_state(state): return uninferable
def shuffle(x): return uninferable
def standard_cauchy(size=None): return uninferable
def standard_exponential(size=None): return uninferable
def standard_gamma(shape, size=None): return uninferable
def standard_normal(size=None): return uninferable
def standard_t(df, size=None): return uninferable
def triangular(left, mode, right, size=None): return uninferable
def uniform(low=0.0, high=1.0, size=None): return uninferable
def vonmises(mu, kappa, size=None): return uninferable
def wald(mean, scale, size=None): return uninferable
def weibull(a, size=None): return uninferable
def zipf(a, size=None): return uninferable
"""
)
register_module_extender(
AstroidManager(), "numpy.random.mtrand", numpy_random_mtrand_transform
)
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