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This function should be used similarly to `dataclasses.dataclass`. Args: _cls: The target `dataclass`. init: Included for signature compatibility with `dataclasses.dataclass`, and is passed through to `dataclasses.dataclass` when appropriate. If specified, must be set to `False`, as pydantic inserts its own `__init__` function. repr: A boolean indicating whether to include the field in the `__repr__` output. eq: Determines if a `__eq__` method should be generated for the class. order: Determines if comparison magic methods should be generated, such as `__lt__`, but not `__eq__`. unsafe_hash: Determines if a `__hash__` method should be included in the class, as in `dataclasses.dataclass`. frozen: Determines if the generated class should be a 'frozen' `dataclass`, which does not allow its attributes to be modified after it has been initialized. config: The Pydantic config to use for the `dataclass`. validate_on_init: A deprecated parameter included for backwards compatibility; in V2, all Pydantic dataclasses are validated on init. kw_only: Determines if `__init__` method parameters must be specified by keyword only. Defaults to `False`. slots: Determines if the generated class should be a 'slots' `dataclass`, which does not allow the addition of new attributes after instantiation. Returns: A decorator that accepts a class as its argument and returns a Pydantic `dataclass`. Raises: AssertionError: Raised if `init` is not `False` or `validate_on_init` is `False`. Fz7pydantic.dataclasses.dataclass only supports init=Falsez-validate_on_init=False is no longer supportedr )r* r+ c � � | j D ]� }t |dg � }|D ]� }t | |d� }t |t � s�!d|i}t j dk\ r|j rd|d< |j dur|j |d< t | |t j di |��� | j j d� �i | _ || | j |< �� �� y) a Make sure that stdlib `dataclasses` understands `Field` kwargs like `kw_only` To do that, we simply change `x: int = pydantic.Field(..., kw_only=True)` into `x: int = dataclasses.field(default=pydantic.Field(..., kw_only=True), kw_only=True)` �__annotations__N�defaultr Tr* r# r. )�__mro__�getattr� isinstancer �sys� version_infor* r# �setattr� dataclasses�field�__dict__�getr8 )�cls�annotation_clsr � field_name� field_value� field_argss r/ � make_pydantic_fields_compatiblez2dataclass.<locals>.make_pydantic_fields_compatible� s� � � "�k�k�N� "�.�2C�R�H�K� )� � %�c�:�t� <� �!�+�y�9� � %.�{�#;� � �#�#�w�.�;�3F�3F�,0�J�y�)� �#�#�4�/�)4�)9�)9�J�v�&���Z��):�):�)H�Z�)H�I� �<�<�#�#�$5�6�>�*,�C�'�2=�j�2I��#�#�J�/�- *� *r0 c � �� ddl m} || � rt d| j � d�d�� �| }� }|�t | dd� }|�|}t j |� }t j j | � }| j }t j | � rNd}| f}t | t � rt | j } || fz }t! j" | j |� } �| � t% j& | fd �� ��� d ����} || _ || _ |j* | _ |j, | _ t j. | |d d� � } | | _ | S ) z�Create a Pydantic dataclass from a regular dataclass. 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Returns: A Pydantic dataclass. r )�is_model_classz(Cannot create a Pydantic dataclass from z" as it is already a Pydantic modelzdataclass-on-model)�codeN�__pydantic_config__T)r" r# r$ r% r& r' F�� raise_errors�types_namespace)�_internal._utilsrK r �__name__r; r � ConfigWrapperr �DecoratorInfos�build�__doc__�_pydantic_dataclasses�is_builtin_dataclass� issubclassr �__parameters__�types� new_classr@ r �__pydantic_decorators__� __module__� __qualname__�complete_dataclass�__pydantic_complete__)rD rK � original_cls� config_dict� cls_config�config_wrapper� decorators� original_doc�bases� generic_base�pydantic_completer( r$ r' �kwargsrI r% r# r& s ��������r/ �create_dataclassz#dataclass.<locals>.create_dataclass� sy �� � 5� �#� �#�:�3�<�<�.�Hj�k�)�� � � � � � � � ��&;�T�B�J��%� (� � �.�.�{�;�� �/�/�5�5�c�:� � �{�{� � � 5� 5�c� :� �L� �F�E��#�w�'� &�s�'9�'9� :� � � ��/���/�/�#�,�,��6�C�'��,��#�#� � � ����#�� � � �� '1��#�"�� �%�0�0���'�4�4��� 1� D� D� � �e�T� �� %6��!�� r0 )rD � type[Any]�return�None)rD rm rn �type[PydanticDataclass])r= r> �dict)r2 r" r# r$ r% r& r' r( r) r* r+ rl rk rI s `````` @@r/ r r _ sw �� �\ �5�=�S�S�S�=� �5� (�Y�*Y�Y� (� ���7�"��g�U�3����!J�FE� E�N �|� � � �D� !�!r0 )r � )r � c � � t d� �)a9 This function does nothing but raise an error that is as similar as possible to what you'd get if you were to try calling `InitVar[int]()` without this monkeypatch. The whole purpose is just to ensure typing._type_check does not error if the type hint evaluates to `InitVar[<parameter>]`. z 'InitVar' object is not callable)� TypeError)�argsrk s r/ � _call_initvarrw s � � �:�;�;r0 � )�forcerO �_parent_namespace_depth�_types_namespacec �* � |s | j ry|�|j � }n:|dkD r t j |�� xs i }|}ni }t j | |� }t j | t j | j d�� ||�� S )ax Try to rebuild the pydantic-core schema for the dataclass. This may be necessary when one of the annotations is a ForwardRef which could not be resolved during the initial attempt to build the schema, and automatic rebuilding fails. This is analogous to `BaseModel.model_rebuild`. Args: cls: The class to rebuild the pydantic-core schema for. force: Whether to force the rebuilding of the schema, defaults to `False`. raise_errors: Whether to raise errors, defaults to `True`. _parent_namespace_depth: The depth level of the parent namespace, defaults to 2. _types_namespace: The types namespace, defaults to `None`. Returns: Returns `None` if the schema is already "complete" and rebuilding was not required. If rebuilding _was_ required, returns `True` if rebuilding was successful, otherwise `False`. Nr )� parent_depthF)�checkrN ) ra �copyr �parent_frame_namespace�get_cls_types_namespacerW r` r rS rM )rD ry rO rz r{ rP �frame_parent_nss r/ r r s� � �4 �S�.�.�� � '�5E�5J�5J�5L�O�&��*�"/�"F�"F�Tk�"l�"r�pr�� #2��"$�� +� C� C�C� � Y�O�$�7�7� � � !� !�#�"9�"9�� G�%� +� � r0 c �l � d| j v xr t j | � S # t $ r Y yw xY w)z�Whether a class is a pydantic dataclass. Args: class_: The class. Returns: `True` if the class is a pydantic dataclass, `False` otherwise. �__pydantic_validator__F)rB r@ � is_dataclass�AttributeError)�class_s r/ �is_pydantic_dataclassr� F s9 � ��'�6�?�?�:�_�{�?W�?W�X^�?_�_�� � ���s �$' � 3�3)r" �Literal[False]r# �boolr$ r� r% r� r& r� r' r� r( � ConfigDict | type[object] | Noner) � bool | Noner* r� r+ r� rn �-Callable[[type[_T]], type[PydanticDataclass]])r2 �type[_T]r" r� r# r� r$ r� r% r� r& r� r' r� r( r� r) r� r* r� r+ r� rn rp )r" r� r# r� r$ r� r% r� r& r� r' r� r( r� r) r� rn r� )r2 r� r" r� r# r� r$ r� r% r� r& r� r' r� r( r� r) r� rn rp r- )r2 ztype[_T] | Noner" r� r# r� r$ r� r% r� r& r� r' r� r( r� r) r� r* r� r+ r� rn zGCallable[[type[_T]], type[PydanticDataclass]] | type[PydanticDataclass])rv r rk r rn r ) rD rp ry r� rO r� rz �intr{ zdict[str, Any] | Nonern r� )r� rm rn z"TypeGuard[type[PydanticDataclass]])1rV � __future__r � _annotationsr@ r= r[ �typingr r r r r r r �typing_extensionsr r r � _internalr r r r rW � _migrationr r( r �errorsr �fieldsr r r �_internal._dataclassesr �__all__r r> rA r rR � __getattr__rw �InitVar�__call__r r� r. r0 r/ �<module>r� s� �� =� 2� � � � U� U� U� E� E� :� :� <� )� � %� 1� 1��9� *�� �T�]�����w� ��;�+<�+<�e�[�*Q�R� � %���� !� �37�(,��� � � � � � � � � � � � � � 1� � &� � � � � � 7� � � S� � �;�+<�+<�e�[�*Q�R� � %���� !� �37�(,��� &�� &� � &� � &� � &� � &� � &� � &� 1� &� &� &� � &� � &� !� &� � S� &�" �;�+<�+<�e�[�*Q�R� � %���� !� �37�(,� � � � � � � � � � � � � � 1� � &� � 7� � � S� � �;�+<�+<�e�[�*Q�R� � %���� !� �37�(,� &�� &� � &� � &� � &� � &� � &� � &� 1� &� &� &� !� &� � S� &� �{�'8�'8�%��&M�N� �b"� !���� ��/3�$(���b"� �b"� �b"� � b"� � b"� � b"� �b"� �b"� -�b"� "�b"� �b"� �b"� M�b"� O�b"�J ��)� � �S� � �'��'�<� $1�K��� � � �#$�.2� . � �. � �. � � . � !� . � ,� . � �. �b r0
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