Preliminary implementation of stdlib/3.7/dataclasses.pyi.

Author: gwk

stdlib/3.7/dataclasses.py

@@ -0,0 +1,47 @@
+from typing import *
+
+
+T = TypeVar('T')
+
+DictType = TypeVar('DictType', bound=dict)
+TupleType = TypeVar('TupleType', bound=tuple)
+
+class _MISSING_TYPE: ...
+
+class _InitVarMeta(type): ...
+
+def asdict(obj: Any, *, dict_factory:DictType=...) -> DictType: ...
+
+def astuple(obj: Any, *, tuple_factory:TupleType=...) -> TupleType: ...
+
+def dataclass(_cls:Optional[Type[T]]=..., *, init:bool=..., repr:bool=...,
+  eq:bool=..., order:bool=..., hash:Optional[bool]=..., frozen:bool=...) -> Type[T]: ...
+
+class Field(Generic[T]):
+  name: str
+  type: Type[T]
+  default: T
+  default_factory: Callable[[], T]
+  repr: bool
+  hash: Optional[bool]
+  init: bool
+  compare: bool
+  metadata: Optional[Mapping[str, Any]]
+
+
+def field(*, default:Union[T, _MISSING_TYPE]=..., default_factory:Union[Callable[[], T], _MISSING_TYPE]=...,
+  init:bool=..., repr:bool=..., hash:Optional[bool]=..., compare:bool=..., metadata:Optional[Mapping[str, Any]]=...) -> Field: ...
+
+def fields(class_or_instance:Type) -> Tuple[Field, ...]: ...
+
+def is_dataclass(obj:Any) -> bool: ...
+
+class FrozenInstanceError(AttributeError): ...
+
+class InitVar(metaclass=_InitVarMeta): ...
+
+def make_dataclass(cls_name:str, fields:Iterable[Union[str, Tuple[str, type], Tuple[str, type, Field]]], *,
+  bases:Tuple[type, ...]=..., namespace:Dict[str, Any]=...,
+  init:bool=..., repr:bool=..., eq:bool=..., order:bool=..., hash:bool=..., frozen:bool=...): ...
+
+def replace(obj:T, **changes:Any) -> T: ...