






from ..utils import deprecate
from .attention_processor import (  # noqa: F401
    Attention,
    AttentionProcessor,
    AttnAddedKVProcessor,
    AttnProcessor2_0,
    LoRAAttnProcessor,
    LoRALinearLayer,
    LoRAXFormersAttnProcessor,
    SlicedAttnAddedKVProcessor,
    SlicedAttnProcessor,
    XFormersAttnProcessor,
)
from .attention_processor import AttnProcessor as AttnProcessorRename  # noqa: F401


deprecate(
    'cross_attention',
    '0.20.0',
    'Importing from cross_attention is deprecated. Please import from diffusers.models.attention_processor instead.',
    standard_warn=False,
)


__A          = AttentionProcessor





class   SCREAMING_SNAKE_CASE (       snake_case    ):





							"""simple docstring"""

							def __init__(     self:      str						,   *__A:      Dict						,   **__A:      List[Any]      )			-> Any:
												_A									=       f"""{self.__class__.__name__} is deprecated and will be removed in `0.20.0`. Please use `from diffusers.models.attention_processor import {"".join(self.__class__.__name__.split("Cross"      )      )} instead."""
												deprecate('''cross_attention'''						,   '''0.20.0'''						,   __A						,   standard_warn=__A      )
												super().__init__(*__A						,   **__A      )





class   SCREAMING_SNAKE_CASE (       snake_case    ):





							"""simple docstring"""

							def __init__(     self:      List[Any]						,   *__A:      Optional[int]						,   **__A:      Tuple      )			-> Tuple:
												_A									=       f"""{self.__class__.__name__} is deprecated and will be removed in `0.20.0`. Please use `from diffusers.models.attention_processor import {"".join(self.__class__.__name__.split("Cross"      )      )} instead."""
												deprecate('''cross_attention'''						,   '''0.20.0'''						,   __A						,   standard_warn=__A      )
												super().__init__(*__A						,   **__A      )





class   SCREAMING_SNAKE_CASE (       snake_case    ):





							"""simple docstring"""

							def __init__(     self:      Tuple						,   *__A:      Union[str, Any]						,   **__A:      str      )			-> List[Any]:
												_A									=       f"""{self.__class__.__name__} is deprecated and will be removed in `0.20.0`. Please use `from diffusers.models.attention_processor import {"".join(self.__class__.__name__.split("Cross"      )      )} instead."""
												deprecate('''cross_attention'''						,   '''0.20.0'''						,   __A						,   standard_warn=__A      )
												super().__init__(*__A						,   **__A      )





class   SCREAMING_SNAKE_CASE (       snake_case    ):





							"""simple docstring"""

							def __init__(     self:      List[str]						,   *__A:      int						,   **__A:      List[str]      )			-> int:
												_A									=       f"""{self.__class__.__name__} is deprecated and will be removed in `0.20.0`. Please use `from diffusers.models.attention_processor import {"".join(self.__class__.__name__.split("Cross"      )      )} instead."""
												deprecate('''cross_attention'''						,   '''0.20.0'''						,   __A						,   standard_warn=__A      )
												super().__init__(*__A						,   **__A      )





class   SCREAMING_SNAKE_CASE (       snake_case    ):





							"""simple docstring"""

							def __init__(     self:      List[Any]						,   *__A:      int						,   **__A:      Union[str, Any]      )			-> Any:
												_A									=       f"""{self.__class__.__name__} is deprecated and will be removed in `0.20.0`. Please use `from diffusers.models.attention_processor import {"".join(self.__class__.__name__.split("Cross"      )      )} instead."""
												deprecate('''cross_attention'''						,   '''0.20.0'''						,   __A						,   standard_warn=__A      )
												super().__init__(*__A						,   **__A      )





class   SCREAMING_SNAKE_CASE (       snake_case    ):





							"""simple docstring"""

							def __init__(     self:      List[Any]						,   *__A:      Optional[Any]						,   **__A:      int      )			-> Optional[Any]:
												_A									=       f"""{self.__class__.__name__} is deprecated and will be removed in `0.20.0`. Please use `from diffusers.models.attention_processor import {"".join(self.__class__.__name__.split("Cross"      )      )} instead."""
												deprecate('''cross_attention'''						,   '''0.20.0'''						,   __A						,   standard_warn=__A      )
												super().__init__(*__A						,   **__A      )





class   SCREAMING_SNAKE_CASE (       snake_case    ):





							"""simple docstring"""

							def __init__(     self:      Any						,   *__A:      Optional[int]						,   **__A:      List[Any]      )			-> Dict:
												_A									=       f"""{self.__class__.__name__} is deprecated and will be removed in `0.20.0`. Please use `from diffusers.models.attention_processor import {"".join(self.__class__.__name__.split("Cross"      )      )} instead."""
												deprecate('''cross_attention'''						,   '''0.20.0'''						,   __A						,   standard_warn=__A      )
												super().__init__(*__A						,   **__A      )





class   SCREAMING_SNAKE_CASE (       snake_case    ):





							"""simple docstring"""

							def __init__(     self:      Union[str, Any]						,   *__A:      int						,   **__A:      int      )			-> Any:
												_A									=       f"""{self.__class__.__name__} is deprecated and will be removed in `0.20.0`. Please use `from diffusers.models.attention_processor import {"".join(self.__class__.__name__.split("Cross"      )      )} instead."""
												deprecate('''cross_attention'''						,   '''0.20.0'''						,   __A						,   standard_warn=__A      )
												super().__init__(*__A						,   **__A      )




from typing import TypeVar

from .arrow_dataset import Dataset, _split_by_node_map_style_dataset
from .iterable_dataset import IterableDataset, _split_by_node_iterable_dataset


lowerCamelCase_				:		List[Any]       						=       TypeVar("""DatasetType""", Dataset, IterableDataset)
def 							lowerCAmelCase(	__lowerCamelCase      ,				__lowerCamelCase      ,				__lowerCamelCase						):
					if isinstance(__lowerCamelCase      ,				__lowerCamelCase						):
										return _split_by_node_map_style_dataset(__lowerCamelCase      ,				rank=__lowerCamelCase      ,				world_size=__lowerCamelCase						)
					else:
										return _split_by_node_iterable_dataset(__lowerCamelCase      ,				rank=__lowerCamelCase      ,				world_size=__lowerCamelCase						)




