Buckets:
| import numpy as np | |
| from numpy._core.numeric import normalize_axis_index, normalize_axis_tuple | |
| __all__ = ["byte_bounds", "normalize_axis_tuple", "normalize_axis_index"] | |
| # NOTE: In practice `byte_bounds` can (potentially) take any object | |
| # implementing the `__array_interface__` protocol. The caveat is | |
| # that certain keys, marked as optional in the spec, must be present for | |
| # `byte_bounds`. This concerns `"strides"` and `"data"`. | |
| def byte_bounds(a: np.generic | np.ndarray) -> tuple[int, int]: ... | |
Xet Storage Details
- Size:
- 502 Bytes
- Xet hash:
- 7d66651e163a584ec7682041b3c8a8b07660a41362cf7802f061cb271bc511a2
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Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.