(self, n, pvals, size=None, chunks="auto", **kwargs)
| 229 | |
| 230 | @derived_from(np.random.Generator, skipblocks=1) |
| 231 | def multinomial(self, n, pvals, size=None, chunks="auto", **kwargs): |
| 232 | return _wrap_func( |
| 233 | self, |
| 234 | "multinomial", |
| 235 | n, |
| 236 | pvals, |
| 237 | size=size, |
| 238 | chunks=chunks, |
| 239 | extra_chunks=((len(pvals),),), |
| 240 | **kwargs, |
| 241 | ) |
| 242 | |
| 243 | @derived_from(np.random.Generator, skipblocks=1) |
| 244 | def multivariate_hypergeometric( |