(a, axis=None, keepdims=False, split_every=None, out=None)
| 267 | |
| 268 | @derived_from(np) |
| 269 | def nanmin(a, axis=None, keepdims=False, split_every=None, out=None): |
| 270 | if np.isnan(a.size): |
| 271 | raise ValueError(f"Arrays chunk sizes are unknown. {unknown_chunk_message}") |
| 272 | if a.size == 0: |
| 273 | raise ValueError( |
| 274 | "zero-size array to reduction operation fmin which has no identity" |
| 275 | ) |
| 276 | return reduction( |
| 277 | a, |
| 278 | _nanmin_skip, |
| 279 | _nanmin_skip, |
| 280 | axis=axis, |
| 281 | keepdims=keepdims, |
| 282 | dtype=a.dtype, |
| 283 | split_every=split_every, |
| 284 | out=out, |
| 285 | ) |
| 286 | |
| 287 | |
| 288 | def _nanmin_skip(x_chunk, axis, keepdims): |
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