numpy.random.tests.test_random.TestRandomDist

class documentation

class TestRandomDist: (source)

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Undocumented

Method setup_method Undocumented
Method test_beta Undocumented
Method test_binomial Undocumented
Method test_bytes Undocumented
Method test_chisquare Undocumented
Method test_choice_exceptions Undocumented
Method test_choice_nan_probabilities Undocumented
Method test_choice_noninteger Undocumented
Method test_choice_nonuniform_noreplace Undocumented
Method test_choice_nonuniform_replace Undocumented
Method test_choice_return_shape Undocumented
Method test_choice_uniform_noreplace Undocumented
Method test_choice_uniform_replace Undocumented
Method test_dirichlet Undocumented
Method test_dirichlet_bad_alpha Undocumented
Method test_dirichlet_size Undocumented
Method test_exponential Undocumented
Method test_exponential_0 Undocumented
Method test_f Undocumented
Method test_gamma Undocumented
Method test_gamma_0 Undocumented
Method test_geometric Undocumented
Method test_gumbel Undocumented
Method test_gumbel_0 Undocumented
Method test_hypergeometric Undocumented
Method test_laplace Undocumented
Method test_laplace_0 Undocumented
Method test_logistic Undocumented
Method test_lognormal Undocumented
Method test_lognormal_0 Undocumented
Method test_logseries Undocumented
Method test_multinomial Undocumented
Method test_multivariate_normal Undocumented
Method test_negative_binomial Undocumented
Method test_noncentral_chisquare Undocumented
Method test_noncentral_f Undocumented
Method test_normal Undocumented
Method test_normal_0 Undocumented
Method test_pareto Undocumented
Method test_poisson Undocumented
Method test_poisson_exceptions Undocumented
Method test_power Undocumented
Method test_rand Undocumented
Method test_randint Undocumented
Method test_randn Undocumented
Method test_random Undocumented
Method test_random_integers Undocumented
Method test_random_integers_deprecated Undocumented
Method test_random_integers_max_int Undocumented
Method test_rayleigh Undocumented
Method test_rayleigh_0 Undocumented
Method test_scalar_exception_propagation Undocumented
Method test_shuffle Undocumented
Method test_shuffle_masked Undocumented
Method test_shuffle_memoryview Undocumented
Method test_shuffle_no_object_unpacking Undocumented
Method test_shuffle_not_writeable Undocumented
Method test_shuffle_untyped_warning Undocumented
Method test_standard_cauchy Undocumented
Method test_standard_exponential Undocumented
Method test_standard_gamma Undocumented
Method test_standard_gamma_0 Undocumented
Method test_standard_normal Undocumented
Method test_standard_t Undocumented
Method test_triangular Undocumented
Method test_uniform Undocumented
Method test_uniform_range_bounds Undocumented
Method test_vonmises Undocumented
Method test_vonmises_small Undocumented
Method test_wald Undocumented
Method test_weibull Undocumented
Method test_weibull_0 Undocumented
Method test_zipf Undocumented
Instance Variable seed Undocumented
def setup_method(self): (source)

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def test_beta(self): (source)

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def test_binomial(self): (source)

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def test_bytes(self): (source)

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def test_chisquare(self): (source)

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def test_choice_exceptions(self): (source)

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def test_choice_nan_probabilities(self): (source)

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def test_choice_noninteger(self): (source)

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def test_choice_nonuniform_noreplace(self): (source)

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def test_choice_nonuniform_replace(self): (source)

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def test_choice_return_shape(self): (source)

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def test_choice_uniform_noreplace(self): (source)

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def test_choice_uniform_replace(self): (source)

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def test_dirichlet(self): (source)

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def test_dirichlet_bad_alpha(self): (source)

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def test_dirichlet_size(self): (source)

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def test_exponential(self): (source)

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def test_exponential_0(self): (source)

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def test_f(self): (source)

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def test_gamma(self): (source)

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def test_gamma_0(self): (source)

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def test_geometric(self): (source)

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def test_gumbel(self): (source)

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def test_gumbel_0(self): (source)

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def test_hypergeometric(self): (source)

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def test_laplace(self): (source)

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def test_laplace_0(self): (source)

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def test_logistic(self): (source)

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def test_lognormal(self): (source)

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def test_lognormal_0(self): (source)

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def test_logseries(self): (source)

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def test_multinomial(self): (source)

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def test_multivariate_normal(self): (source)

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def test_negative_binomial(self): (source)

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def test_noncentral_chisquare(self): (source)

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def test_noncentral_f(self): (source)

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def test_normal(self): (source)

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def test_normal_0(self): (source)

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def test_pareto(self): (source)

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def test_poisson(self): (source)

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def test_poisson_exceptions(self): (source)

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def test_power(self): (source)

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def test_rand(self): (source)

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def test_randint(self): (source)

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def test_randn(self): (source)

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def test_random(self): (source)

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def test_random_integers(self): (source)

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def test_random_integers_deprecated(self): (source)

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def test_random_integers_max_int(self): (source)

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def test_rayleigh(self): (source)

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def test_rayleigh_0(self): (source)

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def test_scalar_exception_propagation(self): (source)

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def test_shuffle(self): (source)

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def test_shuffle_masked(self): (source)

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def test_shuffle_memoryview(self): (source)

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@pytest.mark.parametrize('random', [np.random, np.random.RandomState(), np.random.default_rng()])
@pytest.mark.parametrize('use_array_like', [True, False])
def test_shuffle_no_object_unpacking(self, random, use_array_like): (source)

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def test_shuffle_not_writeable(self): (source)

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@pytest.mark.parametrize('random', [np.random, np.random.RandomState(), np.random.default_rng()])
def test_shuffle_untyped_warning(self, random): (source)

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def test_standard_cauchy(self): (source)

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def test_standard_exponential(self): (source)

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def test_standard_gamma(self): (source)

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def test_standard_gamma_0(self): (source)

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def test_standard_normal(self): (source)

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def test_standard_t(self): (source)

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def test_triangular(self): (source)

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def test_uniform(self): (source)

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def test_uniform_range_bounds(self): (source)

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def test_vonmises(self): (source)

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def test_vonmises_small(self): (source)

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def test_wald(self): (source)

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def test_weibull(self): (source)

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def test_weibull_0(self): (source)

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def test_zipf(self): (source)

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seed: int = (source)

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