(a, axis=None, keepdims=False, split_every=None, out=None)
| 297 | |
| 298 | @derived_from(np) |
| 299 | def nanmax(a, axis=None, keepdims=False, split_every=None, out=None): |
| 300 | if np.isnan(a.size): |
| 301 | raise ValueError(f"Arrays chunk sizes are unknown. {unknown_chunk_message}") |
| 302 | if a.size == 0: |
| 303 | raise ValueError( |
| 304 | "zero-size array to reduction operation fmax which has no identity" |
| 305 | ) |
| 306 | return reduction( |
| 307 | a, |
| 308 | _nanmax_skip, |
| 309 | _nanmax_skip, |
| 310 | axis=axis, |
| 311 | keepdims=keepdims, |
| 312 | dtype=a.dtype, |
| 313 | split_every=split_every, |
| 314 | out=out, |
| 315 | ) |
| 316 | |
| 317 | |
| 318 | def _nanmax_skip(x_chunk, axis, keepdims): |
nothing calls this directly
no test coverage detected