AIM-PIbd-32-Kurbanova-A-A/aimenv/Lib/site-packages/numpy/_array_api_info.pyi

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2024-10-02 22:15:59 +04:00
import sys
from typing import (
TYPE_CHECKING,
ClassVar,
Literal,
TypeAlias,
TypedDict,
TypeVar,
final,
overload,
)
import numpy as np
if sys.version_info >= (3, 11):
from typing import Never
elif TYPE_CHECKING:
from typing_extensions import Never
else:
# `NoReturn` and `Never` are equivalent (but not equal) for type-checkers,
# but are used in different places by convention
from typing import NoReturn as Never
_Device: TypeAlias = Literal["cpu"]
_DeviceLike: TypeAlias = None | _Device
_Capabilities = TypedDict(
"_Capabilities",
{
"boolean indexing": Literal[True],
"data-dependent shapes": Literal[True],
},
)
_DefaultDTypes = TypedDict(
"_DefaultDTypes",
{
"real floating": np.dtype[np.float64],
"complex floating": np.dtype[np.complex128],
"integral": np.dtype[np.intp],
"indexing": np.dtype[np.intp],
},
)
_KindBool: TypeAlias = Literal["bool"]
_KindInt: TypeAlias = Literal["signed integer"]
_KindUInt: TypeAlias = Literal["unsigned integer"]
_KindInteger: TypeAlias = Literal["integral"]
_KindFloat: TypeAlias = Literal["real floating"]
_KindComplex: TypeAlias = Literal["complex floating"]
_KindNumber: TypeAlias = Literal["numeric"]
_Kind: TypeAlias = (
_KindBool
| _KindInt
| _KindUInt
| _KindInteger
| _KindFloat
| _KindComplex
| _KindNumber
)
_T1 = TypeVar("_T1")
_T2 = TypeVar("_T2")
_T3 = TypeVar("_T3")
_Permute1: TypeAlias = _T1 | tuple[_T1]
_Permute2: TypeAlias = tuple[_T1, _T2] | tuple[_T2, _T1]
_Permute3: TypeAlias = (
tuple[_T1, _T2, _T3] | tuple[_T1, _T3, _T2]
| tuple[_T2, _T1, _T3] | tuple[_T2, _T3, _T1]
| tuple[_T3, _T1, _T2] | tuple[_T3, _T2, _T1]
)
class _DTypesBool(TypedDict):
bool: np.dtype[np.bool]
class _DTypesInt(TypedDict):
int8: np.dtype[np.int8]
int16: np.dtype[np.int16]
int32: np.dtype[np.int32]
int64: np.dtype[np.int64]
class _DTypesUInt(TypedDict):
uint8: np.dtype[np.uint8]
uint16: np.dtype[np.uint16]
uint32: np.dtype[np.uint32]
uint64: np.dtype[np.uint64]
class _DTypesInteger(_DTypesInt, _DTypesUInt):
...
class _DTypesFloat(TypedDict):
float32: np.dtype[np.float32]
float64: np.dtype[np.float64]
class _DTypesComplex(TypedDict):
complex64: np.dtype[np.complex64]
complex128: np.dtype[np.complex128]
class _DTypesNumber(_DTypesInteger, _DTypesFloat, _DTypesComplex):
...
class _DTypes(_DTypesBool, _DTypesNumber):
...
class _DTypesUnion(TypedDict, total=False):
bool: np.dtype[np.bool]
int8: np.dtype[np.int8]
int16: np.dtype[np.int16]
int32: np.dtype[np.int32]
int64: np.dtype[np.int64]
uint8: np.dtype[np.uint8]
uint16: np.dtype[np.uint16]
uint32: np.dtype[np.uint32]
uint64: np.dtype[np.uint64]
float32: np.dtype[np.float32]
float64: np.dtype[np.float64]
complex64: np.dtype[np.complex64]
complex128: np.dtype[np.complex128]
_EmptyDict: TypeAlias = dict[Never, Never]
@final
class __array_namespace_info__:
__module__: ClassVar[Literal['numpy']]
def capabilities(self) -> _Capabilities: ...
def default_device(self) -> _Device: ...
def default_dtypes(
self,
*,
device: _DeviceLike = ...,
) -> _DefaultDTypes: ...
def devices(self) -> list[_Device]: ...
@overload
def dtypes(
self,
*,
device: _DeviceLike = ...,
kind: None = ...,
) -> _DTypes: ...
@overload
def dtypes(
self,
*,
device: _DeviceLike = ...,
kind: _Permute1[_KindBool],
) -> _DTypesBool: ...
@overload
def dtypes(
self,
*,
device: _DeviceLike = ...,
kind: _Permute1[_KindInt],
) -> _DTypesInt: ...
@overload
def dtypes(
self,
*,
device: _DeviceLike = ...,
kind: _Permute1[_KindUInt],
) -> _DTypesUInt: ...
@overload
def dtypes(
self,
*,
device: _DeviceLike = ...,
kind: _Permute1[_KindFloat],
) -> _DTypesFloat: ...
@overload
def dtypes(
self,
*,
device: _DeviceLike = ...,
kind: _Permute1[_KindComplex],
) -> _DTypesComplex: ...
@overload
def dtypes(
self,
*,
device: _DeviceLike = ...,
kind: (
_Permute1[_KindInteger]
| _Permute2[_KindInt, _KindUInt]
),
) -> _DTypesInteger: ...
@overload
def dtypes(
self,
*,
device: _DeviceLike = ...,
kind: (
_Permute1[_KindNumber]
| _Permute3[_KindInteger, _KindFloat, _KindComplex]
),
) -> _DTypesNumber: ...
@overload
def dtypes(
self,
*,
device: _DeviceLike = ...,
kind: tuple[()],
) -> _EmptyDict: ...
@overload
def dtypes(
self,
*,
device: _DeviceLike = ...,
kind: tuple[_Kind, ...],
) -> _DTypesUnion: ...