Buckets:
| from _typeshed import SupportsWrite | |
| from typing import LiteralString | |
| from typing_extensions import TypeVar | |
| import numpy as np | |
| __all__ = ["get_include", "info", "show_runtime"] | |
| _ScalarOrArrayT = TypeVar("_ScalarOrArrayT", bound=np.generic | np.ndarray) | |
| _DTypeT = TypeVar("_DTypeT", bound=np.dtype) | |
| ### | |
| def get_include() -> LiteralString: ... | |
| def show_runtime() -> None: ... | |
| def info( | |
| object: object = None, maxwidth: int = 76, output: SupportsWrite[str] | None = None, toplevel: str = "numpy" | |
| ) -> None: ... | |
| def drop_metadata(dtype: _DTypeT, /) -> _DTypeT: ... | |
| # used internally by `lib._function_base_impl._median` | |
| def _median_nancheck(data: np.ndarray, result: _ScalarOrArrayT, axis: int) -> _ScalarOrArrayT: ... | |
Xet Storage Details
- Size:
- 724 Bytes
- Xet hash:
- ec74ca8a400a026b84e3ae9a077eaab31968e84e4c1bc5b43fbbed9556fb4963
·
Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.