Intelegentny_Pszczelarz/.venv/Lib/site-packages/numpy/lib/type_check.pyi
2023-06-19 00:49:18 +02:00

223 lines
5.4 KiB
Python

from collections.abc import Container, Iterable
from typing import (
Literal as L,
Any,
overload,
TypeVar,
Protocol,
)
from numpy import (
dtype,
generic,
bool_,
floating,
float64,
complexfloating,
integer,
)
from numpy._typing import (
ArrayLike,
DTypeLike,
NBitBase,
NDArray,
_64Bit,
_SupportsDType,
_ScalarLike_co,
_ArrayLike,
_DTypeLikeComplex,
)
_T = TypeVar("_T")
_T_co = TypeVar("_T_co", covariant=True)
_SCT = TypeVar("_SCT", bound=generic)
_NBit1 = TypeVar("_NBit1", bound=NBitBase)
_NBit2 = TypeVar("_NBit2", bound=NBitBase)
class _SupportsReal(Protocol[_T_co]):
@property
def real(self) -> _T_co: ...
class _SupportsImag(Protocol[_T_co]):
@property
def imag(self) -> _T_co: ...
__all__: list[str]
def mintypecode(
typechars: Iterable[str | ArrayLike],
typeset: Container[str] = ...,
default: str = ...,
) -> str: ...
# `asfarray` ignores dtypes if they're not inexact
@overload
def asfarray(
a: object,
dtype: None | type[float] = ...,
) -> NDArray[float64]: ...
@overload
def asfarray( # type: ignore[misc]
a: Any,
dtype: _DTypeLikeComplex,
) -> NDArray[complexfloating[Any, Any]]: ...
@overload
def asfarray(
a: Any,
dtype: DTypeLike,
) -> NDArray[floating[Any]]: ...
@overload
def real(val: _SupportsReal[_T]) -> _T: ...
@overload
def real(val: ArrayLike) -> NDArray[Any]: ...
@overload
def imag(val: _SupportsImag[_T]) -> _T: ...
@overload
def imag(val: ArrayLike) -> NDArray[Any]: ...
@overload
def iscomplex(x: _ScalarLike_co) -> bool_: ... # type: ignore[misc]
@overload
def iscomplex(x: ArrayLike) -> NDArray[bool_]: ...
@overload
def isreal(x: _ScalarLike_co) -> bool_: ... # type: ignore[misc]
@overload
def isreal(x: ArrayLike) -> NDArray[bool_]: ...
def iscomplexobj(x: _SupportsDType[dtype[Any]] | ArrayLike) -> bool: ...
def isrealobj(x: _SupportsDType[dtype[Any]] | ArrayLike) -> bool: ...
@overload
def nan_to_num( # type: ignore[misc]
x: _SCT,
copy: bool = ...,
nan: float = ...,
posinf: None | float = ...,
neginf: None | float = ...,
) -> _SCT: ...
@overload
def nan_to_num(
x: _ScalarLike_co,
copy: bool = ...,
nan: float = ...,
posinf: None | float = ...,
neginf: None | float = ...,
) -> Any: ...
@overload
def nan_to_num(
x: _ArrayLike[_SCT],
copy: bool = ...,
nan: float = ...,
posinf: None | float = ...,
neginf: None | float = ...,
) -> NDArray[_SCT]: ...
@overload
def nan_to_num(
x: ArrayLike,
copy: bool = ...,
nan: float = ...,
posinf: None | float = ...,
neginf: None | float = ...,
) -> NDArray[Any]: ...
# If one passes a complex array to `real_if_close`, then one is reasonably
# expected to verify the output dtype (so we can return an unsafe union here)
@overload
def real_if_close( # type: ignore[misc]
a: _ArrayLike[complexfloating[_NBit1, _NBit1]],
tol: float = ...,
) -> NDArray[floating[_NBit1]] | NDArray[complexfloating[_NBit1, _NBit1]]: ...
@overload
def real_if_close(
a: _ArrayLike[_SCT],
tol: float = ...,
) -> NDArray[_SCT]: ...
@overload
def real_if_close(
a: ArrayLike,
tol: float = ...,
) -> NDArray[Any]: ...
@overload
def typename(char: L['S1']) -> L['character']: ...
@overload
def typename(char: L['?']) -> L['bool']: ...
@overload
def typename(char: L['b']) -> L['signed char']: ...
@overload
def typename(char: L['B']) -> L['unsigned char']: ...
@overload
def typename(char: L['h']) -> L['short']: ...
@overload
def typename(char: L['H']) -> L['unsigned short']: ...
@overload
def typename(char: L['i']) -> L['integer']: ...
@overload
def typename(char: L['I']) -> L['unsigned integer']: ...
@overload
def typename(char: L['l']) -> L['long integer']: ...
@overload
def typename(char: L['L']) -> L['unsigned long integer']: ...
@overload
def typename(char: L['q']) -> L['long long integer']: ...
@overload
def typename(char: L['Q']) -> L['unsigned long long integer']: ...
@overload
def typename(char: L['f']) -> L['single precision']: ...
@overload
def typename(char: L['d']) -> L['double precision']: ...
@overload
def typename(char: L['g']) -> L['long precision']: ...
@overload
def typename(char: L['F']) -> L['complex single precision']: ...
@overload
def typename(char: L['D']) -> L['complex double precision']: ...
@overload
def typename(char: L['G']) -> L['complex long double precision']: ...
@overload
def typename(char: L['S']) -> L['string']: ...
@overload
def typename(char: L['U']) -> L['unicode']: ...
@overload
def typename(char: L['V']) -> L['void']: ...
@overload
def typename(char: L['O']) -> L['object']: ...
@overload
def common_type( # type: ignore[misc]
*arrays: _SupportsDType[dtype[
integer[Any]
]]
) -> type[floating[_64Bit]]: ...
@overload
def common_type( # type: ignore[misc]
*arrays: _SupportsDType[dtype[
floating[_NBit1]
]]
) -> type[floating[_NBit1]]: ...
@overload
def common_type( # type: ignore[misc]
*arrays: _SupportsDType[dtype[
integer[Any] | floating[_NBit1]
]]
) -> type[floating[_NBit1 | _64Bit]]: ...
@overload
def common_type( # type: ignore[misc]
*arrays: _SupportsDType[dtype[
floating[_NBit1] | complexfloating[_NBit2, _NBit2]
]]
) -> type[complexfloating[_NBit1 | _NBit2, _NBit1 | _NBit2]]: ...
@overload
def common_type(
*arrays: _SupportsDType[dtype[
integer[Any] | floating[_NBit1] | complexfloating[_NBit2, _NBit2]
]]
) -> type[complexfloating[_64Bit | _NBit1 | _NBit2, _64Bit | _NBit1 | _NBit2]]: ...