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from typing import Literal, Never, TypedDict, final, overload, type_check_only
import numpy as np
type _Device = Literal["cpu"]
type _DeviceLike = _Device | None
_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],
},
)
type _KindBool = Literal["bool"]
type _KindInt = Literal["signed integer"]
type _KindUInt = Literal["unsigned integer"]
type _KindInteger = Literal["integral"]
type _KindFloat = Literal["real floating"]
type _KindComplex = Literal["complex floating"]
type _KindNumber = Literal["numeric"]
type _Kind = _KindBool | _KindInt | _KindUInt | _KindInteger | _KindFloat | _KindComplex | _KindNumber
type _Permute1[T1] = T1 | tuple[T1]
type _Permute2[T1, T2] = tuple[T1, T2] | tuple[T2, T1]
type _Permute3[T1, T2, T3] = (
tuple[T1, T2, T3] | tuple[T1, T3, T2]
| tuple[T2, T1, T3] | tuple[T2, T3, T1]
| tuple[T3, T1, T2] | tuple[T3, T2, T1]
) # fmt: skip
@type_check_only
class _DTypesBool(TypedDict):
bool: np.dtype[np.bool]
@type_check_only
class _DTypesInt(TypedDict):
int8: np.dtype[np.int8]
int16: np.dtype[np.int16]
int32: np.dtype[np.int32]
int64: np.dtype[np.int64]
@type_check_only
class _DTypesUInt(TypedDict):
uint8: np.dtype[np.uint8]
uint16: np.dtype[np.uint16]
uint32: np.dtype[np.uint32]
uint64: np.dtype[np.uint64]
@type_check_only
class _DTypesInteger(_DTypesInt, _DTypesUInt): ...
@type_check_only
class _DTypesFloat(TypedDict):
float32: np.dtype[np.float32]
float64: np.dtype[np.float64]
@type_check_only
class _DTypesComplex(TypedDict):
complex64: np.dtype[np.complex64]
complex128: np.dtype[np.complex128]
@type_check_only
class _DTypesNumber(_DTypesInteger, _DTypesFloat, _DTypesComplex): ...
@type_check_only
class _DTypes(_DTypesBool, _DTypesNumber): ...
@type_check_only
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]
type _EmptyDict = dict[Never, Never]
@final
class __array_namespace_info__:
__module__: Literal["numpy"] = "numpy" # pyrefly: ignore[bad-override]
def capabilities(self) -> _Capabilities: ...
def default_device(self) -> _Device: ...
def default_dtypes(self, *, device: _DeviceLike = None) -> _DefaultDTypes: ...
def devices(self) -> list[_Device]: ...
@overload
def dtypes(
self,
*,
device: _DeviceLike = None,
kind: None = None,
) -> _DTypes: ...
@overload
def dtypes(
self,
*,
device: _DeviceLike = None,
kind: _Permute1[_KindBool],
) -> _DTypesBool: ...
@overload
def dtypes(
self,
*,
device: _DeviceLike = None,
kind: _Permute1[_KindInt],
) -> _DTypesInt: ...
@overload
def dtypes(
self,
*,
device: _DeviceLike = None,
kind: _Permute1[_KindUInt],
) -> _DTypesUInt: ...
@overload
def dtypes(
self,
*,
device: _DeviceLike = None,
kind: _Permute1[_KindFloat],
) -> _DTypesFloat: ...
@overload
def dtypes(
self,
*,
device: _DeviceLike = None,
kind: _Permute1[_KindComplex],
) -> _DTypesComplex: ...
@overload
def dtypes(
self,
*,
device: _DeviceLike = None,
kind: _Permute1[_KindInteger] | _Permute2[_KindInt, _KindUInt],
) -> _DTypesInteger: ...
@overload
def dtypes(
self,
*,
device: _DeviceLike = None,
kind: _Permute1[_KindNumber] | _Permute3[_KindInteger, _KindFloat, _KindComplex],
) -> _DTypesNumber: ...
@overload
def dtypes(
self,
*,
device: _DeviceLike = None,
kind: tuple[()],
) -> _EmptyDict: ...
@overload
def dtypes(
self,
*,
device: _DeviceLike = None,
kind: tuple[_Kind, ...],
) -> _DTypesUnion: ...