import json
import os
import tempfile
import unittest

from transformers.modelcard import ModelCard







class __snake_case							(		unittest.TestCase						):




   def       __a		(       self     :							Any ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__     				= {
         """model_details""": {
             """Organization""": """testing""",
             """Model date""": """today""",
             """Model version""": """v2.1, Developed by Test Corp in 2019.""",
             """Architecture""": """Convolutional Neural Network.""",
         },
         """metrics""": """BLEU and ROUGE-1""",
         """evaluation_data""": {
             """Datasets""": {"""BLEU""": """My-great-dataset-v1""", """ROUGE-1""": """My-short-dataset-v2.1"""},
             """Preprocessing""": """See details on https://arxiv.org/pdf/1810.03993.pdf""",
         },
         """training_data""": {
             """Dataset""": """English Wikipedia dump dated 2018-12-01""",
             """Preprocessing""": (
                 """Using SentencePiece vocabulary of size 52k tokens. See details on"""
                 """ https://arxiv.org/pdf/1810.03993.pdf"""
             ),
         },
         """quantitative_analyses""": {"""BLEU""": 55.1, """ROUGE-1""": 76},
     }




   def       __a		(       self     :							Optional[int] ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__     				= ModelCard.from_dict(self.inputs_dict )
     self.assertTrue(hasattr(lowerCamelCase_			,      """model_details""" ) )
     self.assertTrue(hasattr(lowerCamelCase_			,      """intended_use""" ) )
     self.assertTrue(hasattr(lowerCamelCase_			,      """factors""" ) )
     self.assertTrue(hasattr(lowerCamelCase_			,      """metrics""" ) )
     self.assertTrue(hasattr(lowerCamelCase_			,      """evaluation_data""" ) )
     self.assertTrue(hasattr(lowerCamelCase_			,      """training_data""" ) )
     self.assertTrue(hasattr(lowerCamelCase_			,      """quantitative_analyses""" ) )
     self.assertTrue(hasattr(lowerCamelCase_			,      """ethical_considerations""" ) )
     self.assertTrue(hasattr(lowerCamelCase_			,      """caveats_and_recommendations""" ) )




   def       __a		(       self     :							Optional[Any] ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__     				= ModelCard.from_dict(self.inputs_dict )
     SCREAMING_SNAKE_CASE__     				= json.loads(modelcard.to_json_string() )
     for key, value in self.inputs_dict.items():
       self.assertEqual(obj[key]			,      lowerCamelCase_ )




   def       __a		(       self     :							Tuple ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__     				= ModelCard.from_dict(self.inputs_dict )

     with tempfile.TemporaryDirectory() as tmpdirname:
       SCREAMING_SNAKE_CASE__     				= os.path.join(lowerCamelCase_			,      """modelcard.json""" )
       model_card_first.to_json_file(lowerCamelCase_ )
       SCREAMING_SNAKE_CASE__     				= ModelCard.from_json_file(lowerCamelCase_ )

     self.assertEqual(model_card_second.to_dict()			,      model_card_first.to_dict() )




   def       __a		(       self     :							Any ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__     				= ModelCard.from_dict(self.inputs_dict )

     with tempfile.TemporaryDirectory() as tmpdirname:
       model_card_first.save_pretrained(lowerCamelCase_ )
       SCREAMING_SNAKE_CASE__     				= ModelCard.from_pretrained(lowerCamelCase_ )

     self.assertEqual(model_card_second.to_dict()			,      model_card_first.to_dict() )

"""simple docstring"""


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 					a					(				A_							):



  def __init__(		self   :    Optional[int]						,  *lowerCamelCase_   :    Union[str, Any]						,  **lowerCamelCase_   :    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"""						,  lowerCamelCase_						,  standard_warn=lowerCamelCase_     )
      super().__init__(*lowerCamelCase_						,  **lowerCamelCase_     )






class 					a					(				A_							):



  def __init__(		self   :    Optional[int]						,  *lowerCamelCase_   :    Dict						,  **lowerCamelCase_   :    Union[str, Any]     )      -> List[str]:
      __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"""						,  lowerCamelCase_						,  standard_warn=lowerCamelCase_     )
      super().__init__(*lowerCamelCase_						,  **lowerCamelCase_     )






class 					a					(				A_							):



  def __init__(		self   :    Tuple						,  *lowerCamelCase_   :    Tuple						,  **lowerCamelCase_   :    List[str]     )      -> 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"""						,  lowerCamelCase_						,  standard_warn=lowerCamelCase_     )
      super().__init__(*lowerCamelCase_						,  **lowerCamelCase_     )






class 					a					(				A_							):



  def __init__(		self   :    str						,  *lowerCamelCase_   :    Tuple						,  **lowerCamelCase_   :    Any     )      -> 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"""						,  lowerCamelCase_						,  standard_warn=lowerCamelCase_     )
      super().__init__(*lowerCamelCase_						,  **lowerCamelCase_     )






class 					a					(				A_							):



  def __init__(		self   :    Union[str, Any]						,  *lowerCamelCase_   :    Optional[Any]						,  **lowerCamelCase_   :    Tuple     )      -> Union[str, 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"""						,  lowerCamelCase_						,  standard_warn=lowerCamelCase_     )
      super().__init__(*lowerCamelCase_						,  **lowerCamelCase_     )






class 					a					(				A_							):



  def __init__(		self   :    List[str]						,  *lowerCamelCase_   :    Dict						,  **lowerCamelCase_   :    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"""						,  lowerCamelCase_						,  standard_warn=lowerCamelCase_     )
      super().__init__(*lowerCamelCase_						,  **lowerCamelCase_     )






class 					a					(				A_							):



  def __init__(		self   :    Tuple						,  *lowerCamelCase_   :    List[str]						,  **lowerCamelCase_   :    Dict     )      -> 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"""						,  lowerCamelCase_						,  standard_warn=lowerCamelCase_     )
      super().__init__(*lowerCamelCase_						,  **lowerCamelCase_     )






class 					a					(				A_							):



  def __init__(		self   :    List[Any]						,  *lowerCamelCase_   :    Tuple						,  **lowerCamelCase_   :    Optional[Any]     )      -> 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"""						,  lowerCamelCase_						,  standard_warn=lowerCamelCase_     )
      super().__init__(*lowerCamelCase_						,  **lowerCamelCase_     )
