Fix hash function generation for frozen models with unusual MRO

pydantic/_internal/_decorators.py

@@ -309,6 +309,11 @@ def mro(tp: type[Any]) -> tuple[type[Any], ...]:
             # GenericAlias and some other cases
             pass
 
+    bases = get_bases(tp)
+    return (tp,) + mro_for_bases(bases)
+
+
+def mro_for_bases(bases: tuple[type[Any], ...]) -> tuple[type[Any], ...]:
     def merge_seqs(seqs: list[deque[type[Any]]]) -> Iterable[type[Any]]:
         while True:
             non_empty = [seq for seq in seqs if seq]
@@ -332,14 +337,11 @@ def merge_seqs(seqs: list[deque[type[Any]]]) -> Iterable[type[Any]]:
                 if seq[0] == candidate:
                     seq.popleft()
 
-    bases = get_bases(tp)
     seqs = [deque(mro(base)) for base in bases] + [deque(bases)]
-    res = tuple(merge_seqs(seqs))
-
-    return (tp,) + res
+    return tuple(merge_seqs(seqs))
 
 
-def get_attribute_from_bases(tp: type[Any], name: str) -> Any:
+def get_attribute_from_bases(tp: type[Any] | tuple[type[Any], ...], name: str) -> Any:
     """Get the attribute from the next class in the MRO that has it,
     aiming to simulate calling the method on the actual class.
 
@@ -349,7 +351,7 @@ def get_attribute_from_bases(tp: type[Any], name: str) -> Any:
     from its bases (as done here).
 
     Args:
-        tp: The type or class to search for the attribute.
+        tp: The type or class to search for the attribute. If a tuple, this is treated as a set of base classes.
         name: The name of the attribute to retrieve.
 
     Returns:
@@ -358,13 +360,19 @@ def get_attribute_from_bases(tp: type[Any], name: str) -> Any:
     Raises:
         AttributeError: If the attribute is not found in any class in the MRO.
     """
-    try:
-        return getattr(tp, name)
-    except AttributeError as e:
-        for base in reversed(mro(tp)):
+    if isinstance(tp, tuple):
+        for base in mro_for_bases(tp):
             if hasattr(base, name):
                 return getattr(base, name)
-        raise e
+        raise AttributeError(f'{name} not found in {tp}')
+    else:
+        try:
+            return getattr(tp, name)
+        except AttributeError as e:
+            for base in mro(tp):
+                if hasattr(base, name):
+                    return getattr(base, name)
+            raise e
 
 
 def get_attribute_from_base_dicts(tp: type[Any], name: str) -> Any:

pydantic/_internal/_model_construction.py

@@ -17,7 +17,12 @@
 from ..warnings import PydanticDeprecatedSince20
 from ._config import ConfigWrapper
 from ._core_utils import collect_invalid_schemas, flatten_schema_defs, inline_schema_defs
-from ._decorators import ComputedFieldInfo, DecoratorInfos, PydanticDescriptorProxy
+from ._decorators import (
+    ComputedFieldInfo,
+    DecoratorInfos,
+    PydanticDescriptorProxy,
+    get_attribute_from_bases,
+)
 from ._discriminated_union import apply_discriminators
 from ._fields import collect_model_fields, is_valid_field_name, is_valid_privateattr_name
 from ._generate_schema import GenerateSchema
@@ -374,16 +379,11 @@ def set_default_hash_func(namespace: dict[str, Any], bases: tuple[type[Any], ...
     if '__hash__' in namespace:
         return
 
-    base_hash_func = None
-    for base in bases:
-        base_hash_func = getattr(base, '__hash__', PydanticUndefined)
-        if base_hash_func is not PydanticUndefined:
-            break
-
-    if base_hash_func is None:
-        # This will be the case for `BaseModel` since it defines `__eq__` but not `__hash__`.
-        # In this case, we generate a standard hash function, generally for use with frozen models.
-
+    base_hash_func = get_attribute_from_bases(bases, '__hash__')
+    if base_hash_func in {None, object.__hash__}:
+        # If `__hash__` is None _or_ `object.__hash__`, we generate a hash function.
+        # It will be `None` if not overridden from BaseModel, but may be `object.__hash__` if there is another
+        # parent class earlier in the bases which doesn't override `__hash__` (e.g. `typing.Generic`).
         def hash_func(self: Any) -> int:
             return hash(self.__class__) + hash(tuple(self.__dict__.values()))
 

tests/test_generics.py

@@ -2613,3 +2613,15 @@ class C(B[int]):
             'type': 'int_parsing',
         },
     ]
+
+
+def test_reverse_order_generic_hashability():
+    T = TypeVar('T')
+
+    class Model(Generic[T], BaseModel):
+        x: T
+        model_config = dict(frozen=True)
+
+    m1 = Model[int](x=1)
+    m2 = Model[int](x=1)
+    assert len({m1, m2}) == 1

tests/test_types_typeddict.py

@@ -21,6 +21,7 @@
     PydanticUserError,
     ValidationError,
 )
+from pydantic._internal._decorators import get_attribute_from_bases
 from pydantic.functional_serializers import field_serializer, model_serializer
 from pydantic.functional_validators import field_validator, model_validator
 from pydantic.type_adapter import TypeAdapter
@@ -905,3 +906,16 @@ class MySubTypedDict(MyMiddleTypedDict):
 
     validated_data = TypeAdapter(MySubTypedDict).validate_python({'x': 'ABC', 'y': 'DEF', 'z': 'GHI'})
     assert validated_data == {'x': 'abc', 'y': 'def', 'z': 'ghi'}
+
+
+def test_typeddict_mro():
+    class A(TypedDict):
+        x = 1
+
+    class B(A):
+        x = 2
+
+    class C(B):
+        pass
+
+    assert get_attribute_from_bases(C, 'x') == 2