numpy.random.tests.test_generator_mt19937.TestBroadcast

class documentation

class TestBroadcast:

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Undocumented

Method setup Undocumented
Method test​_beta Undocumented
Method test​_binomial Undocumented
Method test​_chisquare Undocumented
Method test​_empty​_outputs Undocumented
Method test​_exponential Undocumented
Method test​_f Undocumented
Method test​_gamma Undocumented
Method test​_geometric Undocumented
Method test​_gumbel Undocumented
Method test​_hypergeometric Undocumented
Method test​_invalid​_pvals​_broadcast Undocumented
Method test​_laplace Undocumented
Method test​_logistic Undocumented
Method test​_lognormal Undocumented
Method test​_logseries Undocumented
Method test​_multinomial Undocumented
Method test​_multinomial​_pval​_broadcast Undocumented
Method test​_negative​_binomial Undocumented
Method test​_noncentral​_chisquare Undocumented
Method test​_noncentral​_f Undocumented
Method test​_noncentral​_f​_small​_df Undocumented
Method test​_normal Undocumented
Method test​_pareto Undocumented
Method test​_poisson Undocumented
Method test​_power Undocumented
Method test​_rayleigh Undocumented
Method test​_standard​_gamma Undocumented
Method test​_standard​_t Undocumented
Method test​_triangular Undocumented
Method test​_uniform Undocumented
Method test​_vonmises Undocumented
Method test​_wald Undocumented
Method test​_weibull Undocumented
Method test​_zipf Undocumented
Instance Variable seed Undocumented
def setup(self):

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def test_beta(self):

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def test_binomial(self):

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def test_chisquare(self):

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def test_empty_outputs(self):

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def test_exponential(self):

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def test_f(self):

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def test_gamma(self):

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def test_geometric(self):

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def test_gumbel(self):

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def test_hypergeometric(self):

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def test_invalid_pvals_broadcast(self):

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def test_laplace(self):

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def test_logistic(self):

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def test_lognormal(self):

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def test_logseries(self):

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def test_multinomial(self):

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@pytest.mark.parametrize('n', [10, np.array([10, 10]), np.array([[[10]], [[10]]])])
def test_multinomial_pval_broadcast(self, n):

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def test_negative_binomial(self):

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def test_noncentral_chisquare(self):

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def test_noncentral_f(self):

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def test_noncentral_f_small_df(self):

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def test_normal(self):

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def test_pareto(self):

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def test_poisson(self):

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def test_power(self):

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def test_rayleigh(self):

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def test_standard_gamma(self):

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def test_standard_t(self):

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def test_triangular(self):

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def test_uniform(self):

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def test_vonmises(self):

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def test_wald(self):

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def test_weibull(self):

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def test_zipf(self):

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seed: int =

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