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,
)


UpperCAmelCase							   =      AttentionProcessor






class 							_SCREAMING_SNAKE_CASE(   snake_case__	):
   def __init__(    self							,     *lowerCAmelCase_							,     **lowerCAmelCase_    )	->List[Any]:
        a  :    int				=						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'''							,     lowerCAmelCase_							,     standard_warn=lowerCAmelCase_    )
        super().__init__(*lowerCAmelCase_							,     **lowerCAmelCase_    )






class 							_SCREAMING_SNAKE_CASE(   snake_case__	):
   def __init__(    self							,     *lowerCAmelCase_							,     **lowerCAmelCase_    )	->int:
        a  :    int				=						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'''							,     lowerCAmelCase_							,     standard_warn=lowerCAmelCase_    )
        super().__init__(*lowerCAmelCase_							,     **lowerCAmelCase_    )






class 							_SCREAMING_SNAKE_CASE(   snake_case__	):
   def __init__(    self							,     *lowerCAmelCase_							,     **lowerCAmelCase_    )	->int:
        a  :    List[str]				=						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'''							,     lowerCAmelCase_							,     standard_warn=lowerCAmelCase_    )
        super().__init__(*lowerCAmelCase_							,     **lowerCAmelCase_    )






class 							_SCREAMING_SNAKE_CASE(   snake_case__	):
   def __init__(    self							,     *lowerCAmelCase_							,     **lowerCAmelCase_    )	->Any:
        a  :    int				=						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'''							,     lowerCAmelCase_							,     standard_warn=lowerCAmelCase_    )
        super().__init__(*lowerCAmelCase_							,     **lowerCAmelCase_    )






class 							_SCREAMING_SNAKE_CASE(   snake_case__	):
   def __init__(    self							,     *lowerCAmelCase_							,     **lowerCAmelCase_    )	->Optional[Any]:
        a  :    List[Any]				=						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'''							,     lowerCAmelCase_							,     standard_warn=lowerCAmelCase_    )
        super().__init__(*lowerCAmelCase_							,     **lowerCAmelCase_    )






class 							_SCREAMING_SNAKE_CASE(   snake_case__	):
   def __init__(    self							,     *lowerCAmelCase_							,     **lowerCAmelCase_    )	->Optional[Any]:
        a  :    Tuple				=						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'''							,     lowerCAmelCase_							,     standard_warn=lowerCAmelCase_    )
        super().__init__(*lowerCAmelCase_							,     **lowerCAmelCase_    )






class 							_SCREAMING_SNAKE_CASE(   snake_case__	):
   def __init__(    self							,     *lowerCAmelCase_							,     **lowerCAmelCase_    )	->Union[str, Any]:
        a  :    int				=						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'''							,     lowerCAmelCase_							,     standard_warn=lowerCAmelCase_    )
        super().__init__(*lowerCAmelCase_							,     **lowerCAmelCase_    )






class 							_SCREAMING_SNAKE_CASE(   snake_case__	):
   def __init__(    self							,     *lowerCAmelCase_							,     **lowerCAmelCase_    )	->List[Any]:
        a  :    Dict				=						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'''							,     lowerCAmelCase_							,     standard_warn=lowerCAmelCase_    )
        super().__init__(*lowerCAmelCase_							,     **lowerCAmelCase_    )
import unittest

from transformers import BlenderbotTokenizer, BlenderbotTokenizerFast
from transformers.utils import cached_property






class 							_SCREAMING_SNAKE_CASE(   unittest.TestCase	):
   @cached_property
   def _lowercase(    self    )	->List[str]:
        return BlenderbotTokenizer.from_pretrained('''facebook/blenderbot-3B'''    )
   @cached_property
   def _lowercase(    self    )	->str:
        return BlenderbotTokenizerFast.from_pretrained('''facebook/blenderbot-3B'''    )
   def _lowercase(    self    )	->str:
        a  :    Optional[int]				=						self.tokenizer_ab
        a  :    List[Any]				=						''' I am a small frog.'''
        a  :    Optional[Any]				=						tok([src_text]							,     padding=lowerCAmelCase_							,     truncation=lowerCAmelCase_    )['''input_ids''']
        a  :    int				=						tok.batch_decode(lowerCAmelCase_							,     skip_special_tokens=lowerCAmelCase_							,     clean_up_tokenization_spaces=lowerCAmelCase_    )[0]
        assert src_text == decoded
   def _lowercase(    self    )	->Dict:
        a  :    List[Any]				=						self.rust_tokenizer_ab
        a  :    str				=						''' I am a small frog.'''
        a  :    Tuple				=						tok([src_text]							,     padding=lowerCAmelCase_							,     truncation=lowerCAmelCase_    )['''input_ids''']
        a  :    Optional[Any]				=						tok.batch_decode(lowerCAmelCase_							,     skip_special_tokens=lowerCAmelCase_							,     clean_up_tokenization_spaces=lowerCAmelCase_    )[0]
        assert src_text == decoded
   def _lowercase(    self    )	->Tuple:
        assert self.tokenizer_ab.add_prefix_space
        assert self.tokenizer_ab([''' Sam''', '''Sam''']    ).input_ids == [[55_02, 2], [55_02, 2]]


   def _lowercase(    self    )	->Optional[Any]:
        assert self.rust_tokenizer_ab.add_prefix_space
        assert self.rust_tokenizer_ab([''' Sam''', '''Sam''']    ).input_ids == [[55_02, 2], [55_02, 2]]