Tipragot
628be439b8
Cela permet de ne pas avoir de problèmes de compatibilité car python est dans le git.
73 lines
3.4 KiB
Python
73 lines
3.4 KiB
Python
# Licensed under the LGPL: https://www.gnu.org/licenses/old-licenses/lgpl-2.1.en.html
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# For details: https://github.com/pylint-dev/astroid/blob/main/LICENSE
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# Copyright (c) https://github.com/pylint-dev/astroid/blob/main/CONTRIBUTORS.txt
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# TODO(hippo91) : correct the functions return types
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"""Astroid hooks for numpy.random.mtrand module."""
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from astroid.brain.helpers import register_module_extender
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from astroid.builder import parse
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from astroid.manager import AstroidManager
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def numpy_random_mtrand_transform():
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return parse(
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"""
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def beta(a, b, size=None): return uninferable
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def binomial(n, p, size=None): return uninferable
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def bytes(length): return uninferable
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def chisquare(df, size=None): return uninferable
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def choice(a, size=None, replace=True, p=None): return uninferable
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def dirichlet(alpha, size=None): return uninferable
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def exponential(scale=1.0, size=None): return uninferable
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def f(dfnum, dfden, size=None): return uninferable
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def gamma(shape, scale=1.0, size=None): return uninferable
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def geometric(p, size=None): return uninferable
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def get_state(): return uninferable
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def gumbel(loc=0.0, scale=1.0, size=None): return uninferable
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def hypergeometric(ngood, nbad, nsample, size=None): return uninferable
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def laplace(loc=0.0, scale=1.0, size=None): return uninferable
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def logistic(loc=0.0, scale=1.0, size=None): return uninferable
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def lognormal(mean=0.0, sigma=1.0, size=None): return uninferable
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def logseries(p, size=None): return uninferable
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def multinomial(n, pvals, size=None): return uninferable
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def multivariate_normal(mean, cov, size=None): return uninferable
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def negative_binomial(n, p, size=None): return uninferable
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def noncentral_chisquare(df, nonc, size=None): return uninferable
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def noncentral_f(dfnum, dfden, nonc, size=None): return uninferable
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def normal(loc=0.0, scale=1.0, size=None): return uninferable
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def pareto(a, size=None): return uninferable
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def permutation(x): return uninferable
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def poisson(lam=1.0, size=None): return uninferable
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def power(a, size=None): return uninferable
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def rand(*args): return uninferable
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def randint(low, high=None, size=None, dtype='l'):
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import numpy
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return numpy.ndarray((1,1))
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def randn(*args): return uninferable
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def random(size=None): return uninferable
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def random_integers(low, high=None, size=None): return uninferable
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def random_sample(size=None): return uninferable
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def rayleigh(scale=1.0, size=None): return uninferable
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def seed(seed=None): return uninferable
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def set_state(state): return uninferable
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def shuffle(x): return uninferable
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def standard_cauchy(size=None): return uninferable
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def standard_exponential(size=None): return uninferable
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def standard_gamma(shape, size=None): return uninferable
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def standard_normal(size=None): return uninferable
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def standard_t(df, size=None): return uninferable
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def triangular(left, mode, right, size=None): return uninferable
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def uniform(low=0.0, high=1.0, size=None): return uninferable
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def vonmises(mu, kappa, size=None): return uninferable
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def wald(mean, scale, size=None): return uninferable
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def weibull(a, size=None): return uninferable
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def zipf(a, size=None): return uninferable
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"""
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)
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def register(manager: AstroidManager) -> None:
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register_module_extender(
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manager, "numpy.random.mtrand", numpy_random_mtrand_transform
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)
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