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ðŸ“ ..
ðŸ“„ __init__.py(0 B)
ðŸ“ __pycache__
ðŸ“„ brain_argparse.py(1.52 KB)
ðŸ“„ brain_attrs.py(2.97 KB)
ðŸ“„ brain_boto3.py(1012 B)
ðŸ“„ brain_builtin_inference.py(33.45 KB)
ðŸ“„ brain_collections.py(4.31 KB)
ðŸ“„ brain_crypt.py(863 B)
ðŸ“„ brain_ctypes.py(2.6 KB)
ðŸ“„ brain_curses.py(3.4 KB)
ðŸ“„ brain_dataclasses.py(21.57 KB)
ðŸ“„ brain_dateutil.py(767 B)
ðŸ“„ brain_fstrings.py(2.41 KB)
ðŸ“„ brain_functools.py(5.85 KB)
ðŸ“„ brain_gi.py(7.37 KB)
ðŸ“„ brain_hashlib.py(2.75 KB)
ðŸ“„ brain_http.py(10.39 KB)
ðŸ“„ brain_hypothesis.py(1.69 KB)
ðŸ“„ brain_io.py(1.49 KB)
ðŸ“„ brain_mechanize.py(2.58 KB)
ðŸ“„ brain_multiprocessing.py(3.14 KB)
ðŸ“„ brain_namedtuple_enum.py(22.19 KB)
ðŸ“„ brain_nose.py(2.27 KB)
ðŸ“„ brain_numpy_core_einsumfunc.py(825 B)
ðŸ“„ brain_numpy_core_fromnumeric.py(732 B)
ðŸ“„ brain_numpy_core_function_base.py(1.27 KB)
ðŸ“„ brain_numpy_core_multiarray.py(4.14 KB)
ðŸ“„ brain_numpy_core_numeric.py(1.59 KB)
ðŸ“„ brain_numpy_core_numerictypes.py(8.35 KB)
ðŸ“„ brain_numpy_core_umath.py(4.78 KB)
ðŸ“„ brain_numpy_ma.py(896 B)
ðŸ“„ brain_numpy_ndarray.py(8.79 KB)
ðŸ“„ brain_numpy_random_mtrand.py(3.36 KB)
ðŸ“„ brain_numpy_utils.py(2.58 KB)
ðŸ“„ brain_pathlib.py(1.51 KB)
ðŸ“„ brain_pkg_resources.py(2.15 KB)
ðŸ“„ brain_pytest.py(2.17 KB)
ðŸ“„ brain_qt.py(2.74 KB)
ðŸ“„ brain_random.py(2.82 KB)
ðŸ“„ brain_re.py(2.8 KB)
ðŸ“„ brain_regex.py(3.28 KB)
ðŸ“„ brain_responses.py(1.82 KB)
ðŸ“„ brain_scipy_signal.py(2.22 KB)
ðŸ“„ brain_signal.py(3.79 KB)
ðŸ“„ brain_six.py(7.42 KB)
ðŸ“„ brain_sqlalchemy.py(1009 B)
ðŸ“„ brain_ssl.py(6.4 KB)
ðŸ“„ brain_subprocess.py(2.93 KB)
ðŸ“„ brain_threading.py(870 B)
ðŸ“„ brain_type.py(2.42 KB)
ðŸ“„ brain_typing.py(13.98 KB)
ðŸ“„ brain_unittest.py(1.12 KB)
ðŸ“„ brain_uuid.py(667 B)
ðŸ“„ helpers.py(908 B)

Editing: brain_numpy_random_mtrand.py

# 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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Editing: brain_numpy_random_mtrand.py

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