1 files changed, 0 insertions, 70 deletions
diff --git a/venv/Lib/site-packages/astroid/brain/brain_numpy_random_mtrand.py b/venv/Lib/site-packages/astroid/brain/brain_numpy_random_mtrand.py
deleted file mode 100644
index 772bfc4..0000000
--- a/venv/Lib/site-packages/astroid/brain/brain_numpy_random_mtrand.py
+++ /dev/null
@@ -1,70 +0,0 @@
-# Copyright (c) 2018-2019 hippo91 <guillaume.peillex@gmail.com>
-
-# Licensed under the LGPL: https://www.gnu.org/licenses/old-licenses/lgpl-2.1.en.html
-# For details: https://github.com/PyCQA/astroid/blob/master/COPYING.LESSER
-
-# TODO(hippo91) : correct the functions return types
-"""Astroid hooks for numpy.random.mtrand module."""
-
-import astroid
-
-
-def numpy_random_mtrand_transform():
-    return astroid.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_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
-    """
-    )
-
-
-astroid.register_module_extender(
-    astroid.MANAGER, "numpy.random.mtrand", numpy_random_mtrand_transform
-)