build(deps): bump mypy from 0.920 to 0.930 (pydantic#3573)

* build(deps): bump mypy from 0.920 to 0.930

* fix: avoid mypy plugin crash

Due to python/mypy#11332, mypy would crash
because `__builtins__` is not part of `ctx.api` modules, `builtins` is

* fix tests

pydantic/class_validators.py

@@ -54,7 +54,7 @@ def validator(
     check_fields: bool = True,
     whole: bool = None,
     allow_reuse: bool = False,
-) -> Callable[[AnyCallable], classmethod]:
+) -> Callable[[AnyCallable], classmethod]:  # type: ignore[type-arg]
     """
     Decorate methods on the class indicating that they should be used to validate fields
     :param fields: which field(s) the method should be called on
@@ -81,7 +81,7 @@ def validator(
         assert each_item is False, '"each_item" and "whole" conflict, remove "whole"'
         each_item = not whole
 
-    def dec(f: AnyCallable) -> classmethod:
+    def dec(f: AnyCallable) -> classmethod:  # type: ignore[type-arg]
         f_cls = _prepare_validator(f, allow_reuse)
         setattr(
             f_cls,
@@ -97,20 +97,20 @@ def dec(f: AnyCallable) -> classmethod:
 
 
 @overload
-def root_validator(_func: AnyCallable) -> classmethod:
+def root_validator(_func: AnyCallable) -> classmethod:  # type: ignore[type-arg]
     ...
 
 
 @overload
 def root_validator(
     *, pre: bool = False, allow_reuse: bool = False, skip_on_failure: bool = False
-) -> Callable[[AnyCallable], classmethod]:
+) -> Callable[[AnyCallable], classmethod]:  # type: ignore[type-arg]
     ...
 
 
 def root_validator(
     _func: Optional[AnyCallable] = None, *, pre: bool = False, allow_reuse: bool = False, skip_on_failure: bool = False
-) -> Union[classmethod, Callable[[AnyCallable], classmethod]]:
+) -> Union[classmethod, Callable[[AnyCallable], classmethod]]:  # type: ignore[type-arg]
     """
     Decorate methods on a model indicating that they should be used to validate (and perhaps modify) data either
     before or after standard model parsing/validation is performed.
@@ -122,7 +122,7 @@ def root_validator(
         )
         return f_cls
 
-    def dec(f: AnyCallable) -> classmethod:
+    def dec(f: AnyCallable) -> classmethod:  # type: ignore[type-arg]
         f_cls = _prepare_validator(f, allow_reuse)
         setattr(
             f_cls, ROOT_VALIDATOR_CONFIG_KEY, Validator(func=f_cls.__func__, pre=pre, skip_on_failure=skip_on_failure)
@@ -132,7 +132,7 @@ def dec(f: AnyCallable) -> classmethod:
     return dec
 
 
-def _prepare_validator(function: AnyCallable, allow_reuse: bool) -> classmethod:
+def _prepare_validator(function: AnyCallable, allow_reuse: bool) -> classmethod:  # type: ignore[type-arg]
     """
     Avoid validators with duplicated names since without this, validators can be overwritten silently
     which generally isn't the intended behaviour, don't run in ipython (see #312) or if allow_reuse is False.
@@ -325,7 +325,7 @@ def _generic_validator_basic(validator: AnyCallable, sig: 'Signature', args: Set
         return lambda cls, v, values, field, config: validator(v, values=values, field=field, config=config)
 
 
-def gather_all_validators(type_: 'ModelOrDc') -> Dict[str, classmethod]:
+def gather_all_validators(type_: 'ModelOrDc') -> Dict[str, classmethod]:  # type: ignore[type-arg]
     all_attributes = ChainMap(*[cls.__dict__ for cls in type_.__mro__])
     return {
         k: v

pydantic/main.py

@@ -890,7 +890,7 @@ def create_model(
     __config__: Optional[Type[BaseConfig]] = None,
     __base__: None = None,
     __module__: str = __name__,
-    __validators__: Dict[str, classmethod] = None,
+    __validators__: Dict[str, classmethod] = None,  # type: ignore[type-arg]
     **field_definitions: Any,
 ) -> Type['BaseModel']:
     ...
@@ -903,7 +903,7 @@ def create_model(
     __config__: Optional[Type[BaseConfig]] = None,
     __base__: Union[Type['Model'], Tuple[Type['Model'], ...]],
     __module__: str = __name__,
-    __validators__: Dict[str, classmethod] = None,
+    __validators__: Dict[str, classmethod] = None,  # type: ignore[type-arg]
     **field_definitions: Any,
 ) -> Type['Model']:
     ...
@@ -915,7 +915,7 @@ def create_model(
     __config__: Optional[Type[BaseConfig]] = None,
     __base__: Union[None, Type['Model'], Tuple[Type['Model'], ...]] = None,
     __module__: str = __name__,
-    __validators__: Dict[str, classmethod] = None,
+    __validators__: Dict[str, classmethod] = None,  # type: ignore[type-arg]
     **field_definitions: Any,
 ) -> Type['Model']:
     """

pydantic/mypy.py

@@ -348,13 +348,13 @@ def add_construct_method(self, fields: List['PydanticModelField']) -> None:
         and does not treat settings fields as optional.
         """
         ctx = self._ctx
-        set_str = ctx.api.named_type('__builtins__.set', [ctx.api.named_type('__builtins__.str')])
+        set_str = ctx.api.named_type('builtins.set', [ctx.api.named_type('builtins.str')])
         optional_set_str = UnionType([set_str, NoneType()])
         fields_set_argument = Argument(Var('_fields_set', optional_set_str), optional_set_str, None, ARG_OPT)
         construct_arguments = self.get_field_arguments(fields, typed=True, force_all_optional=False, use_alias=False)
         construct_arguments = [fields_set_argument] + construct_arguments
 
-        obj_type = ctx.api.named_type('__builtins__.object')
+        obj_type = ctx.api.named_type('builtins.object')
         self_tvar_name = '_PydanticBaseModel'  # Make sure it does not conflict with other names in the class
         tvar_fullname = ctx.cls.fullname + '.' + self_tvar_name
         self_type = TypeVarType(self_tvar_name, tvar_fullname, -1, [], obj_type)
@@ -654,7 +654,7 @@ def add_method(
         arg_names.append(get_name(arg.variable))
         arg_kinds.append(arg.kind)
 
-    function_type = ctx.api.named_type('__builtins__.function')
+    function_type = ctx.api.named_type('builtins.function')
     signature = CallableType(arg_types, arg_kinds, arg_names, return_type, function_type)
     if tvar_like_type:
         signature.variables = [tvar_like_type]

pydantic/utils.py

@@ -574,7 +574,7 @@ def _coerce_items(items: Union['AbstractSetIntStr', 'MappingIntStrAny']) -> 'Map
         elif isinstance(items, AbstractSet):
             items = dict.fromkeys(items, ...)
         else:
-            raise TypeError(f'Unexpected type of exclude value {items.__class__}')
+            raise TypeError(f'Unexpected type of exclude value {items.__class__}')  # type: ignore[attr-defined]
         return items
 
     @classmethod

tests/mypy/outputs/plugin-fail-strict.txt

@@ -33,7 +33,7 @@
 186: error: Unexpected keyword argument "z" for "AliasGeneratorModel2"  [call-arg]
 189: error: Name "Missing" is not defined  [name-defined]
 197: error: No overload variant of "dataclass" matches argument type "Dict[<nothing>, <nothing>]"  [call-overload]
-197: note: Possible overload variant:
+197: note: Possible overload variants:
 197: note:     def dataclass(*, init: bool = ..., repr: bool = ..., eq: bool = ..., order: bool = ..., unsafe_hash: bool = ..., frozen: bool = ..., config: Optional[Type[Any]] = ...) -> Callable[[Type[Any]], Type[Dataclass]]
-197: note:     <1 more non-matching overload not shown>
+197: note:     def dataclass(_cls: Type[Any], *, init: bool = ..., repr: bool = ..., eq: bool = ..., order: bool = ..., unsafe_hash: bool = ..., frozen: bool = ..., config: Optional[Type[Any]] = ...) -> Type[Dataclass]
 219: error: Property "y" defined in "FrozenModel" is read-only  [misc]

tests/mypy/outputs/plugin-fail.txt

@@ -18,11 +18,11 @@
 101: error: Missing named argument "y" for "construct" of "Model"  [call-arg]
 103: error: Argument "x" to "construct" of "Model" has incompatible type "str"; expected "int"  [arg-type]
 156: error: Missing named argument "x" for "DynamicAliasModel2"  [call-arg]
-175: error: unused "type: ignore" comment
-182: error: unused "type: ignore" comment
+175: error: Unused "type: ignore" comment
+182: error: Unused "type: ignore" comment
 189: error: Name "Missing" is not defined  [name-defined]
 197: error: No overload variant of "dataclass" matches argument type "Dict[<nothing>, <nothing>]"  [call-overload]
-197: note: Possible overload variant:
+197: note: Possible overload variants:
 197: note:     def dataclass(*, init: bool = ..., repr: bool = ..., eq: bool = ..., order: bool = ..., unsafe_hash: bool = ..., frozen: bool = ..., config: Optional[Type[Any]] = ...) -> Callable[[Type[Any]], Type[Dataclass]]
-197: note:     <1 more non-matching overload not shown>
+197: note:     def dataclass(_cls: Type[Any], *, init: bool = ..., repr: bool = ..., eq: bool = ..., order: bool = ..., unsafe_hash: bool = ..., frozen: bool = ..., config: Optional[Type[Any]] = ...) -> Type[Dataclass]
 219: error: Property "y" defined in "FrozenModel" is read-only  [misc]

tests/requirements-linting.txt

@@ -3,7 +3,7 @@ flake8==4.0.1
 flake8-quotes==3.3.1
 hypothesis==6.31.6
 isort==5.10.1
-mypy==0.920
+mypy==0.930
 pre-commit==2.16.0
 pycodestyle==2.8.0
 pyflakes==2.4.0

tests/requirements-testing.txt

@@ -2,7 +2,7 @@ coverage==6.2
 hypothesis==6.31.6
 # pin importlib-metadata as upper versions need typing-extensions to work if on python < 3.8
 importlib-metadata==3.1.0;python_version<"3.8"
-mypy==0.920
+mypy==0.930
 pytest==6.2.5
 pytest-cov==3.0.0
 pytest-mock==3.6.1