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Fix dataclass/protocol crash on joining types #15629

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7 changes: 4 additions & 3 deletions mypy/checker.py
Original file line number Diff line number Diff line change
Expand Up @@ -1194,9 +1194,10 @@ def check_func_def(
elif isinstance(arg_type, TypeVarType):
# Refuse covariant parameter type variables
# TODO: check recursively for inner type variables
if arg_type.variance == COVARIANT and defn.name not in (
"__init__",
"__new__",
if (
arg_type.variance == COVARIANT
and defn.name not in ("__init__", "__new__", "__post_init__")
and not is_private(defn.name) # private methods are not inherited
):
ctx: Context = arg_type
if ctx.line < 0:
Expand Down
137 changes: 55 additions & 82 deletions mypy/plugins/dataclasses.py
Original file line number Diff line number Diff line change
Expand Up @@ -2,7 +2,7 @@

from __future__ import annotations

from typing import TYPE_CHECKING, Final, Iterator
from typing import TYPE_CHECKING, Final, Iterator, Literal

from mypy import errorcodes, message_registry
from mypy.expandtype import expand_type, expand_type_by_instance
Expand Down Expand Up @@ -86,7 +86,7 @@
field_specifiers=("dataclasses.Field", "dataclasses.field"),
)
_INTERNAL_REPLACE_SYM_NAME: Final = "__mypy-replace"
_INTERNAL_POST_INIT_SYM_NAME: Final = "__mypy-__post_init__"
_INTERNAL_POST_INIT_SYM_NAME: Final = "__mypy-post_init"
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@sobolevn btw, __mypy-replace was intentionally class-private (starts with __ but doesn't end with __), aligning the post_init sym to be the same



class DataclassAttribute:
Expand Down Expand Up @@ -118,14 +118,33 @@ def __init__(
self.is_neither_frozen_nor_nonfrozen = is_neither_frozen_nor_nonfrozen
self._api = api

def to_argument(self, current_info: TypeInfo) -> Argument:
arg_kind = ARG_POS
if self.kw_only and self.has_default:
arg_kind = ARG_NAMED_OPT
elif self.kw_only and not self.has_default:
arg_kind = ARG_NAMED
elif not self.kw_only and self.has_default:
arg_kind = ARG_OPT
def to_argument(
self, current_info: TypeInfo, *, of: Literal["__init__", "replace", "__post_init__"]
) -> Argument:
if of == "__init__":
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Now that we're using to_argument for all use cases, it's the arg_pos that differs between the use cases.

arg_kind = ARG_POS
if self.kw_only and self.has_default:
arg_kind = ARG_NAMED_OPT
elif self.kw_only and not self.has_default:
arg_kind = ARG_NAMED
elif not self.kw_only and self.has_default:
arg_kind = ARG_OPT
elif of == "replace":
arg_kind = ARG_NAMED if self.is_init_var and not self.has_default else ARG_NAMED_OPT
elif of == "__post_init__":
# We always use `ARG_POS` without a default value, because it is practical.
# Consider this case:
#
# @dataclass
# class My:
# y: dataclasses.InitVar[str] = 'a'
# def __post_init__(self, y: str) -> None: ...
#
# We would be *required* to specify `y: str = ...` if default is added here.
# But, most people won't care about adding default values to `__post_init__`,
# because it is not designed to be called directly, and duplicating default values
# for the sake of type-checking is unpleasant.
arg_kind = ARG_POS
return Argument(
variable=self.to_var(current_info),
type_annotation=self.expand_type(current_info),
Expand Down Expand Up @@ -236,7 +255,7 @@ def transform(self) -> bool:
and attributes
):
args = [
attr.to_argument(info)
attr.to_argument(info, of="__init__")
for attr in attributes
if attr.is_in_init and not self._is_kw_only_type(attr.type)
]
Expand Down Expand Up @@ -375,70 +394,26 @@ def _add_internal_replace_method(self, attributes: list[DataclassAttribute]) ->
Stashes the signature of 'dataclasses.replace(...)' for this specific dataclass
to be used later whenever 'dataclasses.replace' is called for this dataclass.
"""
arg_types: list[Type] = []
arg_kinds = []
arg_names: list[str | None] = []

info = self._cls.info
for attr in attributes:
attr_type = attr.expand_type(info)
assert attr_type is not None
arg_types.append(attr_type)
arg_kinds.append(
ARG_NAMED if attr.is_init_var and not attr.has_default else ARG_NAMED_OPT
)
arg_names.append(attr.name)

signature = CallableType(
arg_types=arg_types,
arg_kinds=arg_kinds,
arg_names=arg_names,
ret_type=NoneType(),
fallback=self._api.named_type("builtins.function"),
)

info.names[_INTERNAL_REPLACE_SYM_NAME] = SymbolTableNode(
kind=MDEF, node=FuncDef(typ=signature), plugin_generated=True
add_method_to_class(
self._api,
self._cls,
_INTERNAL_REPLACE_SYM_NAME,
args=[attr.to_argument(self._cls.info, of="replace") for attr in attributes],
return_type=NoneType(),
is_staticmethod=True,
)

def _add_internal_post_init_method(self, attributes: list[DataclassAttribute]) -> None:
arg_types: list[Type] = [fill_typevars(self._cls.info)]
arg_kinds = [ARG_POS]
arg_names: list[str | None] = ["self"]

info = self._cls.info
for attr in attributes:
if not attr.is_init_var:
continue
attr_type = attr.expand_type(info)
assert attr_type is not None
arg_types.append(attr_type)
# We always use `ARG_POS` without a default value, because it is practical.
# Consider this case:
#
# @dataclass
# class My:
# y: dataclasses.InitVar[str] = 'a'
# def __post_init__(self, y: str) -> None: ...
#
# We would be *required* to specify `y: str = ...` if default is added here.
# But, most people won't care about adding default values to `__post_init__`,
# because it is not designed to be called directly, and duplicating default values
# for the sake of type-checking is unpleasant.
arg_kinds.append(ARG_POS)
arg_names.append(attr.name)

signature = CallableType(
arg_types=arg_types,
arg_kinds=arg_kinds,
arg_names=arg_names,
ret_type=NoneType(),
fallback=self._api.named_type("builtins.function"),
name="__post_init__",
)

info.names[_INTERNAL_POST_INIT_SYM_NAME] = SymbolTableNode(
kind=MDEF, node=FuncDef(typ=signature), plugin_generated=True
add_method_to_class(
self._api,
self._cls,
_INTERNAL_POST_INIT_SYM_NAME,
args=[
attr.to_argument(self._cls.info, of="__post_init__")
for attr in attributes
if attr.is_init_var
],
return_type=NoneType(),
)

def add_slots(
Expand Down Expand Up @@ -1113,20 +1088,18 @@ def is_processed_dataclass(info: TypeInfo | None) -> bool:
def check_post_init(api: TypeChecker, defn: FuncItem, info: TypeInfo) -> None:
if defn.type is None:
return

ideal_sig = info.get_method(_INTERNAL_POST_INIT_SYM_NAME)
if ideal_sig is None or ideal_sig.type is None:
return

# We set it ourself, so it is always fine:
assert isinstance(ideal_sig.type, ProperType)
assert isinstance(ideal_sig.type, FunctionLike)
# Type of `FuncItem` is always `FunctionLike`:
assert isinstance(defn.type, FunctionLike)

ideal_sig_method = info.get_method(_INTERNAL_POST_INIT_SYM_NAME)
assert ideal_sig_method is not None and ideal_sig_method.type is not None
ideal_sig = ideal_sig_method.type
assert isinstance(ideal_sig, ProperType) # we set it ourselves
assert isinstance(ideal_sig, CallableType)
ideal_sig = ideal_sig.copy_modified(name="__post_init__")
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Have to copy with new name so that it appears correctly in the error message. Fortunately we do it just once per class.


api.check_override(
override=defn.type,
original=ideal_sig.type,
original=ideal_sig,
name="__post_init__",
name_in_super="__post_init__",
supertype="dataclass",
Expand Down
23 changes: 23 additions & 0 deletions test-data/unit/check-dataclasses.test
Original file line number Diff line number Diff line change
Expand Up @@ -744,6 +744,17 @@ s: str = a.bar() # E: Incompatible types in assignment (expression has type "in

[builtins fixtures/dataclasses.pyi]

[case testDataclassGenericCovariant]
from dataclasses import dataclass
from typing import Generic, TypeVar

T_co = TypeVar("T_co", covariant=True)

@dataclass
class MyDataclass(Generic[T_co]):
a: T_co
Comment on lines +751 to +755
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I'm struggling to find an example where mypy's current behaviour actually causes some unsafe behaviour, but it feels weird to me that mypy will reject this:

from typing import TypeVar, Protocol

T_co = TypeVar("T_co", covariant=True)

class Foo(Protocol[T_co]):  # error: Covariant type variable "T_co" used in protocol where invariant one is expected
    x: T_co

But is fine with this:

from dataclasses import dataclass
from typing import TypeVar, Generic

T_co = TypeVar("T_co", covariant=True)

@dataclass
class Bar(Generic[T_co]):
    x: T_co

It feels like the argument that the former is unsafe should probably also apply to the latter? But as I say, I'm struggling to come up with a real example where mypy is currently not flagging unsafe behaviour with generic dataclasses.

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Both are unsafe, see also #3208. But for regular (i.e. nominal) classes it is hard to prohibit this, since it would force people to use @property or Final explicitly everywhere if the attribute is effectively read-only. Protocols were a new thing, so we were able to implement them safely from the start (also an additional argument is that bugs with structural subtyping are usually trickier to find, so our handling of structural subtyping should be stricter that our handling of nominal subtyping).

Btw I was thinking about actually trying to prohibit covariant mutable overrides in --strict mode first, and see what will be the fallout and how people will react to this.

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Btw I'm merely testing here a regression that surfaced in mypy_primer.

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Btw I'm merely testing here a regression that surfaced in mypy_primer.

Yes, I was questioning whether it was actually a regression, or whether the new behaviour that we had with your PR before your latest commit was actually a feature rather than a bug :-)

Before your latest commit, though, mypy was flagging frozen dataclasses with covariant attributes, and that was a false positive, since all attributes on frozen dataclasses are readonly

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Even if we went to report it, probably not like this.

What was being reported were covariant parameters of the synthetic __mypy-replace and __mypy-post_init methods (which are added in a less hacky manner now and probably that's why they hit this check).


[builtins fixtures/dataclasses.pyi]

[case testDataclassUntypedGenericInheritance]
# flags: --python-version 3.7
Expand Down Expand Up @@ -2420,3 +2431,15 @@ class Test(Protocol):
def reset(self) -> None:
self.x = DEFAULT
[builtins fixtures/dataclasses.pyi]

[case testProtocolNoCrashOnJoining]
from dataclasses import dataclass
from typing import Protocol

@dataclass
class MyDataclass(Protocol): ...

a: MyDataclass
b = [a, a] # trigger joining the types

[builtins fixtures/dataclasses.pyi]
4 changes: 2 additions & 2 deletions test-data/unit/deps.test
Original file line number Diff line number Diff line change
Expand Up @@ -1388,7 +1388,7 @@ class B(A):
<m.A.(abstract)> -> <m.B.__init__>, m
<m.A.__dataclass_fields__> -> <m.B.__dataclass_fields__>
<m.A.__init__> -> <m.B.__init__>, m.B.__init__
<m.A.__mypy-replace> -> <m.B.__mypy-replace>
<m.A.__mypy-replace> -> <m.B.__mypy-replace>, m.B.__mypy-replace
<m.A.__new__> -> <m.B.__new__>
<m.A.x> -> <m.B.x>
<m.A.y> -> <m.B.y>
Expand Down Expand Up @@ -1420,7 +1420,7 @@ class B(A):
<m.A.__dataclass_fields__> -> <m.B.__dataclass_fields__>
<m.A.__init__> -> <m.B.__init__>, m.B.__init__
<m.A.__match_args__> -> <m.B.__match_args__>
<m.A.__mypy-replace> -> <m.B.__mypy-replace>
<m.A.__mypy-replace> -> <m.B.__mypy-replace>, m.B.__mypy-replace
<m.A.__new__> -> <m.B.__new__>
<m.A.x> -> <m.B.x>
<m.A.y> -> <m.B.y>
Expand Down