FM / brain

/opt/imh-python/lib/python3.9/site-packages/astroid/brain/

/opt/imh-python/lib/python3.9/site-packages/astroid/brain

Name	Size	Mode	Actions
__pycache__/	-	0755	rm
brain_argparse.py	1813	0644	edit dl rm
brain_attrs.py	3352	0644	edit dl rm
brain_boto3.py	1072	0644	edit dl rm
brain_builtin_inference.py	37433	0644	edit dl rm
brain_collections.py	4787	0644	edit dl rm
brain_crypt.py	915	0644	edit dl rm
brain_ctypes.py	2720	0644	edit dl rm
brain_curses.py	3529	0644	edit dl rm
brain_dataclasses.py	22363	0644	edit dl rm
brain_datetime.py	771	0644	edit dl rm
brain_dateutil.py	819	0644	edit dl rm
brain_functools.py	6390	0644	edit dl rm
brain_gi.py	7598	0644	edit dl rm
brain_hashlib.py	2757	0644	edit dl rm
brain_http.py	10687	0644	edit dl rm
brain_hypothesis.py	1800	0644	edit dl rm
brain_io.py	1589	0644	edit dl rm
brain_mechanize.py	2698	0644	edit dl rm
brain_multiprocessing.py	3260	0644	edit dl rm
brain_namedtuple_enum.py	23912	0644	edit dl rm
brain_nose.py	2402	0644	edit dl rm
brain_numpy_core_einsumfunc.py	885	0644	edit dl rm
brain_numpy_core_fromnumeric.py	792	0644	edit dl rm
brain_numpy_core_function_base.py	1408	0644	edit dl rm
brain_numpy_core_multiarray.py	4400	0644	edit dl rm
brain_numpy_core_numeric.py	1740	0644	edit dl rm
brain_numpy_core_numerictypes.py	8606	0644	edit dl rm
brain_numpy_core_umath.py	4939	0644	edit dl rm
brain_numpy_ma.py	948	0644	edit dl rm
brain_numpy_ndarray.py	9066	0644	edit dl rm
brain_numpy_random_mtrand.py	3496	0644	edit dl rm
brain_numpy_utils.py	2553	0644	edit dl rm
brain_pathlib.py	1705	0644	edit dl rm
brain_pkg_resources.py	2252	0644	edit dl rm
brain_pytest.py	2270	0644	edit dl rm
brain_qt.py	2874	0644	edit dl rm
brain_random.py	3170	0644	edit dl rm
brain_re.py	2966	0644	edit dl rm
brain_regex.py	3433	0644	edit dl rm
brain_responses.py	1920	0644	edit dl rm
brain_scipy_signal.py	2328	0644	edit dl rm
brain_signal.py	3932	0644	edit dl rm
brain_six.py	7666	0644	edit dl rm
brain_sqlalchemy.py	1061	0644	edit dl rm
brain_ssl.py	6716	0644	edit dl rm
brain_subprocess.py	2971	0644	edit dl rm
brain_threading.py	922	0644	edit dl rm
brain_type.py	2481	0644	edit dl rm
brain_typing.py	16717	0644	edit dl rm
brain_unittest.py	1136	0644	edit dl rm
brain_uuid.py	727	0644	edit dl rm
helpers.py	4303	0644	edit dl rm
__init__.py	0	0644	edit dl rm

Edit: /opt/imh-python/lib/python3.9/site-packages/astroid/brain/brain_numpy_random_mtrand.py (3496B)

# 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
    """
    )

def register(manager: AstroidManager) -> None:
    register_module_extender(
        manager, "numpy.random.mtrand", numpy_random_mtrand_transform
    )

# Licensed under the LGPL: https://www.gnu.org/licenses/old-licenses/lgpl-2.1.en.html # For details: https://github.com/pylint-dev/astroid/blob/main/LICENSE # Copyright (c) https://github.com/pylint-dev/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 """ ) def register(manager: AstroidManager) -> None: register_module_extender( manager, "numpy.random.mtrand", numpy_random_mtrand_transform )