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dataclasses.pyi
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dataclasses.pyi
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import enum
import sys
import types
from _typeshed import DataclassInstance
from builtins import type as Type # alias to avoid name clashes with fields named "type"
from collections.abc import Callable, Iterable, Mapping
from typing import Any, Generic, Protocol, TypeVar, overload
from typing_extensions import Literal, TypeAlias, TypeGuard
if sys.version_info >= (3, 9):
from types import GenericAlias
_T = TypeVar("_T")
_T_co = TypeVar("_T_co", covariant=True)
__all__ = [
"dataclass",
"field",
"Field",
"FrozenInstanceError",
"InitVar",
"MISSING",
"fields",
"asdict",
"astuple",
"make_dataclass",
"replace",
"is_dataclass",
]
if sys.version_info >= (3, 10):
__all__ += ["KW_ONLY"]
_DataclassT = TypeVar("_DataclassT", bound=DataclassInstance)
# define _MISSING_TYPE as an enum within the type stubs,
# even though that is not really its type at runtime
# this allows us to use Literal[_MISSING_TYPE.MISSING]
# for background, see:
# https://github.com/python/typeshed/pull/5900#issuecomment-895513797
class _MISSING_TYPE(enum.Enum):
MISSING = enum.auto()
MISSING = _MISSING_TYPE.MISSING
if sys.version_info >= (3, 10):
class KW_ONLY: ...
@overload
def asdict(obj: DataclassInstance) -> dict[str, Any]: ...
@overload
def asdict(obj: DataclassInstance, *, dict_factory: Callable[[list[tuple[str, Any]]], _T]) -> _T: ...
@overload
def astuple(obj: DataclassInstance) -> tuple[Any, ...]: ...
@overload
def astuple(obj: DataclassInstance, *, tuple_factory: Callable[[list[Any]], _T]) -> _T: ...
if sys.version_info >= (3, 8):
# cls argument is now positional-only
@overload
def dataclass(__cls: None) -> Callable[[type[_T]], type[_T]]: ...
@overload
def dataclass(__cls: type[_T]) -> type[_T]: ...
else:
@overload
def dataclass(_cls: None) -> Callable[[type[_T]], type[_T]]: ...
@overload
def dataclass(_cls: type[_T]) -> type[_T]: ...
if sys.version_info >= (3, 11):
@overload
def dataclass(
*,
init: bool = True,
repr: bool = True,
eq: bool = True,
order: bool = False,
unsafe_hash: bool = False,
frozen: bool = False,
match_args: bool = True,
kw_only: bool = False,
slots: bool = False,
weakref_slot: bool = False,
) -> Callable[[type[_T]], type[_T]]: ...
elif sys.version_info >= (3, 10):
@overload
def dataclass(
*,
init: bool = True,
repr: bool = True,
eq: bool = True,
order: bool = False,
unsafe_hash: bool = False,
frozen: bool = False,
match_args: bool = True,
kw_only: bool = False,
slots: bool = False,
) -> Callable[[type[_T]], type[_T]]: ...
else:
@overload
def dataclass(
*,
init: bool = True,
repr: bool = True,
eq: bool = True,
order: bool = False,
unsafe_hash: bool = False,
frozen: bool = False,
) -> Callable[[type[_T]], type[_T]]: ...
# See https://github.com/python/mypy/issues/10750
class _DefaultFactory(Protocol[_T_co]):
def __call__(self) -> _T_co: ...
class Field(Generic[_T]):
name: str
type: Type[_T]
default: _T | Literal[_MISSING_TYPE.MISSING]
default_factory: _DefaultFactory[_T] | Literal[_MISSING_TYPE.MISSING]
repr: bool
hash: bool | None
init: bool
compare: bool
metadata: types.MappingProxyType[Any, Any]
if sys.version_info >= (3, 10):
kw_only: bool | Literal[_MISSING_TYPE.MISSING]
def __init__(
self,
default: _T,
default_factory: Callable[[], _T],
init: bool,
repr: bool,
hash: bool | None,
compare: bool,
metadata: Mapping[Any, Any],
kw_only: bool,
) -> None: ...
else:
def __init__(
self,
default: _T,
default_factory: Callable[[], _T],
init: bool,
repr: bool,
hash: bool | None,
compare: bool,
metadata: Mapping[Any, Any],
) -> None: ...
def __set_name__(self, owner: Type[Any], name: str) -> None: ...
if sys.version_info >= (3, 9):
def __class_getitem__(cls, item: Any) -> GenericAlias: ...
# NOTE: Actual return type is 'Field[_T]', but we want to help type checkers
# to understand the magic that happens at runtime.
if sys.version_info >= (3, 10):
@overload # `default` and `default_factory` are optional and mutually exclusive.
def field(
*,
default: _T,
init: bool = True,
repr: bool = True,
hash: bool | None = None,
compare: bool = True,
metadata: Mapping[Any, Any] | None = None,
kw_only: bool = ...,
) -> _T: ...
@overload
def field(
*,
default_factory: Callable[[], _T],
init: bool = True,
repr: bool = True,
hash: bool | None = None,
compare: bool = True,
metadata: Mapping[Any, Any] | None = None,
kw_only: bool = ...,
) -> _T: ...
@overload
def field(
*,
init: bool = True,
repr: bool = True,
hash: bool | None = None,
compare: bool = True,
metadata: Mapping[Any, Any] | None = None,
kw_only: bool = ...,
) -> Any: ...
else:
@overload # `default` and `default_factory` are optional and mutually exclusive.
def field(
*,
default: _T,
init: bool = True,
repr: bool = True,
hash: bool | None = None,
compare: bool = True,
metadata: Mapping[Any, Any] | None = None,
) -> _T: ...
@overload
def field(
*,
default_factory: Callable[[], _T],
init: bool = True,
repr: bool = True,
hash: bool | None = None,
compare: bool = True,
metadata: Mapping[Any, Any] | None = None,
) -> _T: ...
@overload
def field(
*,
init: bool = True,
repr: bool = True,
hash: bool | None = None,
compare: bool = True,
metadata: Mapping[Any, Any] | None = None,
) -> Any: ...
def fields(class_or_instance: DataclassInstance | type[DataclassInstance]) -> tuple[Field[Any], ...]: ...
@overload
def is_dataclass(obj: DataclassInstance) -> Literal[True]: ...
@overload
def is_dataclass(obj: type) -> TypeGuard[type[DataclassInstance]]: ...
@overload
def is_dataclass(obj: object) -> TypeGuard[DataclassInstance | type[DataclassInstance]]: ...
class FrozenInstanceError(AttributeError): ...
if sys.version_info >= (3, 9):
_InitVarMeta: TypeAlias = type
else:
class _InitVarMeta(type):
# Not used, instead `InitVar.__class_getitem__` is called.
def __getitem__(self, params: Any) -> InitVar[Any]: ...
class InitVar(Generic[_T], metaclass=_InitVarMeta):
type: Type[_T]
def __init__(self, type: Type[_T]) -> None: ...
if sys.version_info >= (3, 9):
@overload
def __class_getitem__(cls, type: Type[_T]) -> InitVar[_T]: ...
@overload
def __class_getitem__(cls, type: Any) -> InitVar[Any]: ...
if sys.version_info >= (3, 12):
def make_dataclass(
cls_name: str,
fields: Iterable[str | tuple[str, type] | tuple[str, type, Any]],
*,
bases: tuple[type, ...] = (),
namespace: dict[str, Any] | None = None,
init: bool = True,
repr: bool = True,
eq: bool = True,
order: bool = False,
unsafe_hash: bool = False,
frozen: bool = False,
match_args: bool = True,
kw_only: bool = False,
slots: bool = False,
weakref_slot: bool = False,
module: str | None = None,
) -> type: ...
elif sys.version_info >= (3, 11):
def make_dataclass(
cls_name: str,
fields: Iterable[str | tuple[str, type] | tuple[str, type, Any]],
*,
bases: tuple[type, ...] = (),
namespace: dict[str, Any] | None = None,
init: bool = True,
repr: bool = True,
eq: bool = True,
order: bool = False,
unsafe_hash: bool = False,
frozen: bool = False,
match_args: bool = True,
kw_only: bool = False,
slots: bool = False,
weakref_slot: bool = False,
) -> type: ...
elif sys.version_info >= (3, 10):
def make_dataclass(
cls_name: str,
fields: Iterable[str | tuple[str, type] | tuple[str, type, Any]],
*,
bases: tuple[type, ...] = (),
namespace: dict[str, Any] | None = None,
init: bool = True,
repr: bool = True,
eq: bool = True,
order: bool = False,
unsafe_hash: bool = False,
frozen: bool = False,
match_args: bool = True,
kw_only: bool = False,
slots: bool = False,
) -> type: ...
else:
def make_dataclass(
cls_name: str,
fields: Iterable[str | tuple[str, type] | tuple[str, type, Any]],
*,
bases: tuple[type, ...] = (),
namespace: dict[str, Any] | None = None,
init: bool = True,
repr: bool = True,
eq: bool = True,
order: bool = False,
unsafe_hash: bool = False,
frozen: bool = False,
) -> type: ...
def replace(__obj: _DataclassT, **changes: Any) -> _DataclassT: ...