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

Code Editor : 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
)

${this.title}

Code Editor : brain_numpy_random_mtrand.py