updates

Backend/venv/lib/python3.12/site-packages/pydantic/v1/dataclasses.py

@@ -36,28 +36,21 @@ import dataclasses
 import sys
 from contextlib import contextmanager
 from functools import wraps
-
-try:
-    from functools import cached_property
-except ImportError:
-    # cached_property available only for python3.8+
-    pass
-
 from typing import TYPE_CHECKING, Any, Callable, ClassVar, Dict, Generator, Optional, Type, TypeVar, Union, overload
 
 from typing_extensions import dataclass_transform
 
-from pydantic.v1.class_validators import gather_all_validators
-from pydantic.v1.config import BaseConfig, ConfigDict, Extra, get_config
-from pydantic.v1.error_wrappers import ValidationError
-from pydantic.v1.errors import DataclassTypeError
-from pydantic.v1.fields import Field, FieldInfo, Required, Undefined
-from pydantic.v1.main import create_model, validate_model
-from pydantic.v1.utils import ClassAttribute
+from .class_validators import gather_all_validators
+from .config import BaseConfig, ConfigDict, Extra, get_config
+from .error_wrappers import ValidationError
+from .errors import DataclassTypeError
+from .fields import Field, FieldInfo, Required, Undefined
+from .main import create_model, validate_model
+from .utils import ClassAttribute
 
 if TYPE_CHECKING:
-    from pydantic.v1.main import BaseModel
-    from pydantic.v1.typing import CallableGenerator, NoArgAnyCallable
+    from .main import BaseModel
+    from .typing import CallableGenerator, NoArgAnyCallable
 
     DataclassT = TypeVar('DataclassT', bound='Dataclass')
 
@@ -416,17 +409,6 @@ def create_pydantic_model_from_dataclass(
     return model
 
 
-if sys.version_info >= (3, 8):
-
-    def _is_field_cached_property(obj: 'Dataclass', k: str) -> bool:
-        return isinstance(getattr(type(obj), k, None), cached_property)
-
-else:
-
-    def _is_field_cached_property(obj: 'Dataclass', k: str) -> bool:
-        return False
-
-
 def _dataclass_validate_values(self: 'Dataclass') -> None:
     # validation errors can occur if this function is called twice on an already initialised dataclass.
     # for example if Extra.forbid is enabled, it would consider __pydantic_initialised__ an invalid extra property
@@ -435,13 +417,9 @@ def _dataclass_validate_values(self: 'Dataclass') -> None:
     if getattr(self, '__pydantic_has_field_info_default__', False):
         # We need to remove `FieldInfo` values since they are not valid as input
         # It's ok to do that because they are obviously the default values!
-        input_data = {
-            k: v
-            for k, v in self.__dict__.items()
-            if not (isinstance(v, FieldInfo) or _is_field_cached_property(self, k))
-        }
+        input_data = {k: v for k, v in self.__dict__.items() if not isinstance(v, FieldInfo)}
     else:
-        input_data = {k: v for k, v in self.__dict__.items() if not _is_field_cached_property(self, k)}
+        input_data = self.__dict__
     d, _, validation_error = validate_model(self.__pydantic_model__, input_data, cls=self.__class__)
     if validation_error:
         raise validation_error