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from typing import Any, Generic, List, Type, TypeVar
from numpy import (
finfo as finfo,
iinfo as iinfo,
floating,
signedinteger,
)
from numpy.typing import NBitBase, NDArray
_NBit = TypeVar("_NBit", bound=NBitBase)
__all__: List[str]
class MachArLike(Generic[_NBit]):
def __init__(
self,
ftype: Type[floating[_NBit]],
*,
eps: floating[Any],
epsneg: floating[Any],
huge: floating[Any],
tiny: floating[Any],
ibeta: int,
smallest_subnormal: None | floating[Any] = ...,
# Expand `**kwargs` into keyword-only arguments
machep: int,
negep: int,
minexp: int,
maxexp: int,
it: int,
iexp: int,
irnd: int,
ngrd: int,
) -> None: ...
@property
def smallest_subnormal(self) -> NDArray[floating[_NBit]]: ...
eps: NDArray[floating[_NBit]]
epsilon: NDArray[floating[_NBit]]
epsneg: NDArray[floating[_NBit]]
huge: NDArray[floating[_NBit]]
ibeta: signedinteger[_NBit]
iexp: int
irnd: int
it: int
machep: int
maxexp: int
minexp: int
negep: int
ngrd: int
precision: int
resolution: NDArray[floating[_NBit]]
smallest_normal: NDArray[floating[_NBit]]
tiny: NDArray[floating[_NBit]]
title: str
xmax: NDArray[floating[_NBit]]
xmin: NDArray[floating[_NBit]]
|
