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from __future__ import annotations
from collections.abc import Mapping
from types import ModuleType as Namespace
from typing import (
TYPE_CHECKING,
Literal,
Protocol,
TypeAlias,
TypedDict,
TypeVar,
final,
)
if TYPE_CHECKING:
from _typeshed import Incomplete
SupportsBufferProtocol: TypeAlias = Incomplete
Array: TypeAlias = Incomplete
Device: TypeAlias = Incomplete
DType: TypeAlias = Incomplete
else:
SupportsBufferProtocol = object
Array = object
Device = object
DType = object
_T_co = TypeVar("_T_co", covariant=True)
# These "Just" types are equivalent to the `Just` type from the `optype` library,
# apart from them not being `@runtime_checkable`.
# - docs: https://github.com/jorenham/optype/blob/master/README.md#just
# - code: https://github.com/jorenham/optype/blob/master/optype/_core/_just.py
@final
class JustInt(Protocol):
@property
def __class__(self, /) -> type[int]: ...
@__class__.setter
def __class__(self, value: type[int], /) -> None: ... # pyright: ignore[reportIncompatibleMethodOverride]
@final
class JustFloat(Protocol):
@property
def __class__(self, /) -> type[float]: ...
@__class__.setter
def __class__(self, value: type[float], /) -> None: ... # pyright: ignore[reportIncompatibleMethodOverride]
@final
class JustComplex(Protocol):
@property
def __class__(self, /) -> type[complex]: ...
@__class__.setter
def __class__(self, value: type[complex], /) -> None: ... # pyright: ignore[reportIncompatibleMethodOverride]
#
class NestedSequence(Protocol[_T_co]):
def __getitem__(self, key: int, /) -> _T_co | NestedSequence[_T_co]: ...
def __len__(self, /) -> int: ...
class SupportsArrayNamespace(Protocol[_T_co]):
def __array_namespace__(self, /, *, api_version: str | None) -> _T_co: ...
class HasShape(Protocol[_T_co]):
@property
def shape(self, /) -> _T_co: ...
# Return type of `__array_namespace_info__.default_dtypes`
Capabilities = TypedDict(
"Capabilities",
{
"boolean indexing": bool,
"data-dependent shapes": bool,
"max dimensions": int,
},
)
# Return type of `__array_namespace_info__.default_dtypes`
DefaultDTypes = TypedDict(
"DefaultDTypes",
{
"real floating": DType,
"complex floating": DType,
"integral": DType,
"indexing": DType,
},
)
_DTypeKind: TypeAlias = Literal[
"bool",
"signed integer",
"unsigned integer",
"integral",
"real floating",
"complex floating",
"numeric",
]
# Type of the `kind` parameter in `__array_namespace_info__.dtypes`
DTypeKind: TypeAlias = _DTypeKind | tuple[_DTypeKind, ...]
# `__array_namespace_info__.dtypes(kind="bool")`
class DTypesBool(TypedDict):
bool: DType
# `__array_namespace_info__.dtypes(kind="signed integer")`
class DTypesSigned(TypedDict):
int8: DType
int16: DType
int32: DType
int64: DType
# `__array_namespace_info__.dtypes(kind="unsigned integer")`
class DTypesUnsigned(TypedDict):
uint8: DType
uint16: DType
uint32: DType
uint64: DType
# `__array_namespace_info__.dtypes(kind="integral")`
class DTypesIntegral(DTypesSigned, DTypesUnsigned):
pass
# `__array_namespace_info__.dtypes(kind="real floating")`
class DTypesReal(TypedDict):
float32: DType
float64: DType
# `__array_namespace_info__.dtypes(kind="complex floating")`
class DTypesComplex(TypedDict):
complex64: DType
complex128: DType
# `__array_namespace_info__.dtypes(kind="numeric")`
class DTypesNumeric(DTypesIntegral, DTypesReal, DTypesComplex):
pass
# `__array_namespace_info__.dtypes(kind=None)` (default)
class DTypesAll(DTypesBool, DTypesNumeric):
pass
# `__array_namespace_info__.dtypes(kind=?)` (fallback)
DTypesAny: TypeAlias = Mapping[str, DType]
__all__ = [
"Array",
"Capabilities",
"DType",
"DTypeKind",
"DTypesAny",
"DTypesAll",
"DTypesBool",
"DTypesNumeric",
"DTypesIntegral",
"DTypesSigned",
"DTypesUnsigned",
"DTypesReal",
"DTypesComplex",
"DefaultDTypes",
"Device",
"HasShape",
"Namespace",
"JustInt",
"JustFloat",
"JustComplex",
"NestedSequence",
"SupportsArrayNamespace",
"SupportsBufferProtocol",
]
def __dir__() -> list[str]:
return __all__
|
