(sz)
| 157 | |
| 158 | @pytest.mark.parametrize("sz", [None, 5, (2, 2)], ids=type) |
| 159 | def test_random_all(sz): |
| 160 | da.random.beta(1, 2, size=sz, chunks=3).compute() |
| 161 | da.random.binomial(10, 0.5, size=sz, chunks=3).compute() |
| 162 | da.random.chisquare(1, size=sz, chunks=3).compute() |
| 163 | da.random.exponential(1, size=sz, chunks=3).compute() |
| 164 | da.random.f(1, 2, size=sz, chunks=3).compute() |
| 165 | da.random.gamma(5, 1, size=sz, chunks=3).compute() |
| 166 | da.random.geometric(1, size=sz, chunks=3).compute() |
| 167 | da.random.gumbel(1, size=sz, chunks=3).compute() |
| 168 | da.random.hypergeometric(1, 2, 3, size=sz, chunks=3).compute() |
| 169 | da.random.laplace(size=sz, chunks=3).compute() |
| 170 | da.random.logistic(size=sz, chunks=3).compute() |
| 171 | da.random.lognormal(size=sz, chunks=3).compute() |
| 172 | da.random.logseries(0.5, size=sz, chunks=3).compute() |
| 173 | da.random.multinomial(20, [1 / 6.0] * 6, size=sz, chunks=3).compute() |
| 174 | da.random.negative_binomial(5, 0.5, size=sz, chunks=3).compute() |
| 175 | da.random.noncentral_chisquare(2, 2, size=sz, chunks=3).compute() |
| 176 | |
| 177 | da.random.noncentral_f(2, 2, 3, size=sz, chunks=3).compute() |
| 178 | da.random.normal(2, 2, size=sz, chunks=3).compute() |
| 179 | da.random.pareto(1, size=sz, chunks=3).compute() |
| 180 | da.random.poisson(size=sz, chunks=3).compute() |
| 181 | |
| 182 | da.random.power(1, size=sz, chunks=3).compute() |
| 183 | da.random.rayleigh(size=sz, chunks=3).compute() |
| 184 | |
| 185 | da.random.triangular(1, 2, 3, size=sz, chunks=3).compute() |
| 186 | da.random.uniform(size=sz, chunks=3).compute() |
| 187 | da.random.vonmises(2, 3, size=sz, chunks=3).compute() |
| 188 | da.random.wald(1, 2, size=sz, chunks=3).compute() |
| 189 | |
| 190 | da.random.weibull(2, size=sz, chunks=3).compute() |
| 191 | da.random.zipf(2, size=sz, chunks=3).compute() |
| 192 | |
| 193 | da.random.standard_cauchy(size=sz, chunks=3).compute() |
| 194 | da.random.standard_exponential(size=sz, chunks=3).compute() |
| 195 | da.random.standard_gamma(2, size=sz, chunks=3).compute() |
| 196 | da.random.standard_normal(size=sz, chunks=3).compute() |
| 197 | da.random.standard_t(2, size=sz, chunks=3).compute() |
| 198 | |
| 199 | |
| 200 | def test_RandomState_only_funcs(): |
nothing calls this directly
no test coverage detected
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