214 lines
4.9 KiB
Python
214 lines
4.9 KiB
Python
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: ...
|