晋太元中，武陵人捕鱼为业。缘溪行，忘路之远近。忽逢桃花林，夹岸数百步，中无杂树，芳草鲜美，落英缤纷。渔人甚异之，复前行，欲穷其林。 　　林尽水源，便得一山，山有小口，仿佛若有光。便舍船，从口入。初极狭，才通人。复行数十步，豁然开朗。土地平旷，屋舍俨然，有良田、美池、桑竹之属。阡陌交通，鸡犬相闻。其中往来种作，男女衣着，悉如外人。黄发垂髫，并怡然自乐。 　　见渔人，乃大惊，问所从来。具答之。便要还家，设酒杀鸡作食。村中闻有此人，咸来问讯。自云先世避秦时乱，率妻子邑人来此绝境，不复出焉，遂与外人间隔。问今是何世，乃不知有汉，无论魏晋。此人一一为具言所闻，皆叹惋。余人各复延至其家，皆出酒食。停数日，辞去。此中人语云：“不足为外人道也。”(间隔 一作：隔绝) 　　既出，得其船，便扶向路，处处志之。及郡下，诣太守，说如此。太守即遣人随其往，寻向所志，遂迷，不复得路。 　　南阳刘子骥，高尚士也，闻之，欣然规往。未果，寻病终。后遂无问津者。 sh-3ll

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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
)