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from typing import (

ClassVar,

Literal,

Never,

TypeAlias,

TypedDict,

TypeVar,

final,

overload,

type_check_only,

)

import numpy as np

_Device: TypeAlias = Literal["cpu"]

_DeviceLike: TypeAlias = _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],

},

)

_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]

)

@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]

_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: ...