import json
import os
import pickle
import subprocess
from hashlib import mda
from pathlib import Path
from tempfile import gettempdir
from textwrap import dedent
from types import CodeType, FunctionType
from unittest import TestCase
from unittest.mock import patch

import pytest
from multiprocess import Pool
from packaging import version

import datasets
from datasets.fingerprint import Hasher, fingerprint_transform
from datasets.table import InMemoryTable

from .utils import (
    require_regex,
    require_spacy,
    require_spacy_model,
    require_tiktoken,
    require_torch,
    require_transformers,
)



class 			UpperCamelCase					:

     '''simple docstring'''

     def __init__(       self					,					A_    )			->					Tuple:






           """simple docstring"""
           _lowerCamelCase           =					foo





     def __call__(       self    )			->					Optional[int]:






           """simple docstring"""
           return self.foo





class 			UpperCamelCase					(			datasets.Dataset			):

     '''simple docstring'''

     @fingerprint_transform(inplace=A_    )
     def 		UpperCamelCase_    (       self					,					A_					,					*A_					,					**A_    )			->					List[Any]:






           """simple docstring"""
           return DatasetChild(self.data					,					fingerprint=A_    )





     @fingerprint_transform(inplace=A_    )
     def 		UpperCamelCase_    (       self					,					A_					,					*A_					,					**A_    )			->					Any:






           """simple docstring"""
           return DatasetChild(self.data					,					fingerprint=A_    )





class 			UpperCamelCase					:

     '''simple docstring'''

     def __init__(       self					,					A_    )			->					Optional[Any]:






           """simple docstring"""
           _lowerCamelCase           =					callable



     def __call__(       self					,					*A_					,					**A_    )			->					Any:






           """simple docstring"""
           if self.callable is not None:
                 return self.callable(*A_					,					**A_    )





     def __getstate__(       self    )			->					int:






           """simple docstring"""
           raise pickle.PicklingError()





class 			UpperCamelCase					(			__lowercase			):

     '''simple docstring'''

     @require_transformers
     @pytest.mark.integration
     def 		UpperCamelCase_    (       self    )			->					int:






           """simple docstring"""
           from transformers import AutoTokenizer

           def encode(A_    ):
                 return tokenizer(A_    )

           # TODO: add hash consistency tests across sessions
           _lowerCamelCase           =					AutoTokenizer.from_pretrained('''bert-base-uncased'''    )
           _lowerCamelCase           =					mda(datasets.utils.py_utils.dumps(A_    )    ).hexdigest()
           _lowerCamelCase           =					mda(datasets.utils.py_utils.dumps(lambda A_    : tokenizer(A_    )    )    ).hexdigest()
           _lowerCamelCase           =					mda(datasets.utils.py_utils.dumps(A_    )    ).hexdigest()
           _lowerCamelCase           =					AutoTokenizer.from_pretrained('''bert-base-cased'''    )
           _lowerCamelCase           =					mda(datasets.utils.py_utils.dumps(A_    )    ).hexdigest()
           _lowerCamelCase           =					mda(datasets.utils.py_utils.dumps(lambda A_    : tokenizer(A_    )    )    ).hexdigest()
           _lowerCamelCase           =					mda(datasets.utils.py_utils.dumps(A_    )    ).hexdigest()
           _lowerCamelCase           =					AutoTokenizer.from_pretrained('''bert-base-uncased'''    )
           _lowerCamelCase           =					mda(datasets.utils.py_utils.dumps(A_    )    ).hexdigest()
           _lowerCamelCase           =					mda(datasets.utils.py_utils.dumps(lambda A_    : tokenizer(A_    )    )    ).hexdigest()
           _lowerCamelCase           =					mda(datasets.utils.py_utils.dumps(A_    )    ).hexdigest()
           self.assertEqual(A_					,					A_    )
           self.assertNotEqual(A_					,					A_    )
           self.assertEqual(A_					,					A_    )
           self.assertNotEqual(A_					,					A_    )
           self.assertEqual(A_					,					A_    )
           self.assertNotEqual(A_					,					A_    )



     @require_transformers
     @pytest.mark.integration
     def 		UpperCamelCase_    (       self    )			->					str:






           """simple docstring"""
           from transformers import AutoTokenizer

           _lowerCamelCase           =					AutoTokenizer.from_pretrained('''gpt2'''    )
           _lowerCamelCase           =					mda(datasets.utils.py_utils.dumps(A_    )    ).hexdigest()
           tokenizer('''Hello world !'''    )  # call once to change the tokenizer's cache
           _lowerCamelCase           =					mda(datasets.utils.py_utils.dumps(A_    )    ).hexdigest()
           self.assertEqual(A_					,					A_    )





     @require_regex
     def 		UpperCamelCase_    (       self    )			->					List[str]:






           """simple docstring"""
           import regex

           _lowerCamelCase           =					regex.Regex('''foo'''    )
           _lowerCamelCase           =					mda(datasets.utils.py_utils.dumps(A_    )    ).hexdigest()
           _lowerCamelCase           =					regex.Regex('''bar'''    )
           _lowerCamelCase           =					mda(datasets.utils.py_utils.dumps(A_    )    ).hexdigest()
           _lowerCamelCase           =					regex.Regex('''foo'''    )
           _lowerCamelCase           =					mda(datasets.utils.py_utils.dumps(A_    )    ).hexdigest()
           self.assertEqual(A_					,					A_    )
           self.assertNotEqual(A_					,					A_    )





class 			UpperCamelCase					(			__lowercase			):

     '''simple docstring'''

     def 		UpperCamelCase_    (       self    )			->					Tuple:






           """simple docstring"""
           def func():
                 return foo

           _lowerCamelCase           =					[0]
           _lowerCamelCase           =					mda(datasets.utils.py_utils.dumps(A_    )    ).hexdigest()
           _lowerCamelCase           =					[1]
           _lowerCamelCase           =					mda(datasets.utils.py_utils.dumps(A_    )    ).hexdigest()
           _lowerCamelCase           =					[0]
           _lowerCamelCase           =					mda(datasets.utils.py_utils.dumps(A_    )    ).hexdigest()
           self.assertEqual(A_					,					A_    )
           self.assertNotEqual(A_					,					A_    )



     def 		UpperCamelCase_    (       self    )			->					Optional[Any]:






           """simple docstring"""
           def func():
                 pass

           _lowerCamelCase           =					mda(datasets.utils.py_utils.dumps(A_    )    ).hexdigest()

           def func():
                 pass

           _lowerCamelCase           =					mda(datasets.utils.py_utils.dumps(A_    )    ).hexdigest()
           self.assertEqual(A_					,					A_    )



     def 		UpperCamelCase_    (       self    )			->					Optional[Any]:






           """simple docstring"""
           _lowerCamelCase           =					mda(datasets.utils.py_utils.dumps(Foo([0]    )    )    ).hexdigest()
           _lowerCamelCase           =					mda(datasets.utils.py_utils.dumps(Foo([1]    )    )    ).hexdigest()
           _lowerCamelCase           =					mda(datasets.utils.py_utils.dumps(Foo([0]    )    )    ).hexdigest()
           self.assertEqual(A_					,					A_    )
           self.assertNotEqual(A_					,					A_    )



     def 		UpperCamelCase_    (       self    )			->					Tuple:






           """simple docstring"""
           _lowerCamelCase           =					mda(datasets.utils.py_utils.dumps(Foo([0]    ).__call__    )    ).hexdigest()
           _lowerCamelCase           =					mda(datasets.utils.py_utils.dumps(Foo([1]    ).__call__    )    ).hexdigest()
           _lowerCamelCase           =					mda(datasets.utils.py_utils.dumps(Foo([0]    ).__call__    )    ).hexdigest()
           self.assertEqual(A_					,					A_    )
           self.assertNotEqual(A_					,					A_    )



     def 		UpperCamelCase_    (       self    )			->					Optional[Any]:






           """simple docstring"""
           _lowerCamelCase           =					(
               '''co_argcount''',
               '''co_kwonlyargcount''',
               '''co_nlocals''',
               '''co_stacksize''',
               '''co_flags''',
               '''co_code''',
               '''co_consts''',
               '''co_names''',
               '''co_varnames''',
               '''co_filename''',
               '''co_name''',
               '''co_firstlineno''',
               '''co_lnotab''',
               '''co_freevars''',
               '''co_cellvars''',
           )

           def _create_code_pyaa(*A_    ):
                 if hasattr(args[-3]					,					'''encode'''    ):
                       _lowerCamelCase           =					list(A_    )
                       _lowerCamelCase           =					args[-3].encode()  # co_lnotab
                       _lowerCamelCase           =					args[-10].encode()  # co_code
                 if hasattr(A_					,					'''co_posonlyargcount'''    ):
                       if len(A_    ) == 16:
                             return CodeType(*A_    )
                       elif len(A_    ) == 15:
                             return CodeType(args[0]					,					0					,					*args[1:]    )
                       return CodeType(args[0]					,					0					,					0					,					*args[1:]    )
                 elif hasattr(A_					,					'''co_kwonlyargcount'''    ):
                       if len(A_    ) == 16:
                             return CodeType(args[0]					,					*args[2:]    )
                       elif len(A_    ) == 15:
                             return CodeType(*A_    )
                       return CodeType(args[0]					,					0					,					*args[1:]    )
                 if len(A_    ) == 16:
                       return CodeType(args[0]					,					*args[3:]    )
                 elif len(A_    ) == 15:
                       return CodeType(args[0]					,					*args[2:]    )
                 return CodeType(*A_    )

           def create_ipython_func(A_					,					A_    ):
                 def func():
                       return returned_obj

                 _lowerCamelCase           =					func.__code__
                 # Use _create_code from dill in order to make it work for different python versions
                 if datasets.config.PY_VERSION < version.parse('''3.8'''    ):
                       _lowerCamelCase           =					_create_code_pyaa(
                           *[getattr(A_					,					A_    ) if k != '''co_filename''' else co_filename for k in code_args_pyaa]    )
                 else:
                       _lowerCamelCase           =					code.replace(co_filename=A_    )
                 return FunctionType(A_					,					func.__globals__					,					func.__name__					,					func.__defaults__					,					func.__closure__    )

           _lowerCamelCase     ,       _lowerCamelCase           =					'''<ipython-input-2-e0383a102aae>''', [0]
           _lowerCamelCase           =					mda(datasets.utils.py_utils.dumps(create_ipython_func(A_					,					A_    )    )    ).hexdigest()
           _lowerCamelCase     ,       _lowerCamelCase           =					'''<ipython-input-2-e0383a102aae>''', [1]
           _lowerCamelCase           =					mda(datasets.utils.py_utils.dumps(create_ipython_func(A_					,					A_    )    )    ).hexdigest()
           _lowerCamelCase     ,       _lowerCamelCase           =					'''<ipython-input-5-713f6613acf3>''', [0]
           _lowerCamelCase           =					mda(datasets.utils.py_utils.dumps(create_ipython_func(A_					,					A_    )    )    ).hexdigest()
           self.assertEqual(A_					,					A_    )
           self.assertNotEqual(A_					,					A_    )

           _lowerCamelCase     ,       _lowerCamelCase           =					os.path.join(gettempdir()					,					'''ipykernel_12345'''					,					'''321456789.py'''    ), [0]
           _lowerCamelCase           =					mda(datasets.utils.py_utils.dumps(create_ipython_func(A_					,					A_    )    )    ).hexdigest()
           _lowerCamelCase     ,       _lowerCamelCase           =					os.path.join(gettempdir()					,					'''ipykernel_12345'''					,					'''321456789.py'''    ), [1]
           _lowerCamelCase           =					mda(datasets.utils.py_utils.dumps(create_ipython_func(A_					,					A_    )    )    ).hexdigest()
           _lowerCamelCase     ,       _lowerCamelCase           =					os.path.join(gettempdir()					,					'''ipykernel_12345'''					,					'''654123987.py'''    ), [0]
           _lowerCamelCase           =					mda(datasets.utils.py_utils.dumps(create_ipython_func(A_					,					A_    )    )    ).hexdigest()
           self.assertEqual(A_					,					A_    )
           self.assertNotEqual(A_					,					A_    )





     def 		UpperCamelCase_    (       self    )			->					Tuple:






           """simple docstring"""
           _lowerCamelCase     ,       _lowerCamelCase           =					[0], [1]

           def func():
                 return foo, bar

           _lowerCamelCase           =					'''__main__'''

           def globalvars_mocka_side_effect(A_					,					*A_					,					**A_    ):
                 return {"foo": foo, "bar": bar}

           def globalvars_mocka_side_effect(A_					,					*A_					,					**A_    ):
                 return {"bar": bar, "foo": foo}

           with patch('''dill.detect.globalvars'''					,					side_effect=A_    ) as globalvars_mocka:
                 _lowerCamelCase           =					mda(datasets.utils.py_utils.dumps(A_    )    ).hexdigest()
                 self.assertGreater(globalvars_mocka.call_count					,					0    )
           with patch('''dill.detect.globalvars'''					,					side_effect=A_    ) as globalvars_mocka:
                 _lowerCamelCase           =					mda(datasets.utils.py_utils.dumps(A_    )    ).hexdigest()
                 self.assertGreater(globalvars_mocka.call_count					,					0    )
           self.assertEqual(A_					,					A_    )





class 			UpperCamelCase					(			__lowercase			):

     '''simple docstring'''

     def 		UpperCamelCase_    (       self    )			->					Union[str, Any]:






           """simple docstring"""
           _lowerCamelCase           =					Hasher.hash('''hello'''    )
           _lowerCamelCase           =					Hasher.hash('''hello'''    )
           _lowerCamelCase           =					Hasher.hash('''there'''    )
           self.assertEqual(A_					,					A_    )
           self.assertNotEqual(A_					,					A_    )



     def 		UpperCamelCase_    (       self    )			->					Optional[Any]:






           """simple docstring"""
           _lowerCamelCase           =					Hasher.hash(Foo('''hello'''    )    )
           _lowerCamelCase           =					Hasher.hash(Foo('''hello'''    )    )
           _lowerCamelCase           =					Hasher.hash(Foo('''there'''    )    )
           self.assertEqual(A_					,					A_    )
           self.assertNotEqual(A_					,					A_    )



     def 		UpperCamelCase_    (       self    )			->					str:






           """simple docstring"""
           _lowerCamelCase           =					Hasher()
           for x in ["hello", Foo('''hello'''    )]:
                 hasher.update(A_    )
           _lowerCamelCase           =					hasher.hexdigest()
           _lowerCamelCase           =					Hasher()
           for x in ["hello", Foo('''hello'''    )]:
                 hasher.update(A_    )
           _lowerCamelCase           =					hasher.hexdigest()
           _lowerCamelCase           =					Hasher()
           for x in ["there", Foo('''there'''    )]:
                 hasher.update(A_    )
           _lowerCamelCase           =					hasher.hexdigest()
           self.assertEqual(A_					,					A_    )
           self.assertNotEqual(A_					,					A_    )



     def 		UpperCamelCase_    (       self    )			->					Optional[Any]:






           """simple docstring"""
           with self.assertRaises(pickle.PicklingError    ):
                 Hasher.hash(UnpicklableCallable(Foo('''hello'''    )    )    )



     def 		UpperCamelCase_    (       self    )			->					Union[str, Any]:






           """simple docstring"""
           _lowerCamelCase           =					'''abc'''
           _lowerCamelCase           =					[string, string]  # two strings have the same ids
           _lowerCamelCase           =					[string, string]
           _lowerCamelCase           =					json.loads(F'["{string}", "{string}"]'    )  # two strings have different ids
           self.assertIs(obja[0]					,					A_    )
           self.assertIs(obja[0]					,					obja[1]    )
           self.assertIs(obja[0]					,					A_    )
           self.assertIs(obja[0]					,					obja[1]    )
           self.assertIsNot(obja[0]					,					A_    )
           self.assertIsNot(obja[0]					,					obja[1]    )
           _lowerCamelCase           =					Hasher.hash(A_    )
           _lowerCamelCase           =					Hasher.hash(A_    )
           _lowerCamelCase           =					Hasher.hash(A_    )
           self.assertEqual(A_					,					A_    )
           self.assertEqual(A_					,					A_    )



     @require_tiktoken
     def 		UpperCamelCase_    (       self    )			->					Dict:






           """simple docstring"""
           import tiktoken

           _lowerCamelCase           =					tiktoken.get_encoding('''gpt2'''    )
           _lowerCamelCase           =					mda(datasets.utils.py_utils.dumps(A_    )    ).hexdigest()
           _lowerCamelCase           =					tiktoken.get_encoding('''r50k_base'''    )
           _lowerCamelCase           =					mda(datasets.utils.py_utils.dumps(A_    )    ).hexdigest()
           _lowerCamelCase           =					tiktoken.get_encoding('''gpt2'''    )
           _lowerCamelCase           =					mda(datasets.utils.py_utils.dumps(A_    )    ).hexdigest()
           self.assertEqual(A_					,					A_    )
           self.assertNotEqual(A_					,					A_    )



     @require_torch
     def 		UpperCamelCase_    (       self    )			->					List[str]:






           """simple docstring"""
           import torch

           _lowerCamelCase           =					torch.tensor([1.0]    )
           _lowerCamelCase           =					mda(datasets.utils.py_utils.dumps(A_    )    ).hexdigest()
           _lowerCamelCase           =					torch.tensor([2.0]    )
           _lowerCamelCase           =					mda(datasets.utils.py_utils.dumps(A_    )    ).hexdigest()
           _lowerCamelCase           =					torch.tensor([1.0]    )
           _lowerCamelCase           =					mda(datasets.utils.py_utils.dumps(A_    )    ).hexdigest()
           self.assertEqual(A_					,					A_    )
           self.assertNotEqual(A_					,					A_    )





     @require_spacy
     @require_spacy_model('''en_core_web_sm'''    )
     @require_spacy_model('''fr_core_news_sm'''    )
     @pytest.mark.integration
     def 		UpperCamelCase_    (       self    )			->					Optional[int]:






           """simple docstring"""
           import spacy

           _lowerCamelCase           =					spacy.load('''en_core_web_sm'''    )
           _lowerCamelCase           =					mda(datasets.utils.py_utils.dumps(A_    )    ).hexdigest()
           _lowerCamelCase           =					spacy.load('''fr_core_news_sm'''    )
           _lowerCamelCase           =					mda(datasets.utils.py_utils.dumps(A_    )    ).hexdigest()
           _lowerCamelCase           =					spacy.load('''en_core_web_sm'''    )
           _lowerCamelCase           =					mda(datasets.utils.py_utils.dumps(A_    )    ).hexdigest()
           self.assertEqual(A_					,					A_    )
           self.assertNotEqual(A_					,					A_    )





@pytest.mark.integration
def    __magic_name__(	__UpperCAmelCase		)    ->     Dict:



      '''simple docstring'''

      _lowerCamelCase           =					tmp_path / '''dir1'''
      _lowerCamelCase           =					tmp_path / '''dir2'''
      dira.mkdir()
      dira.mkdir()
      _lowerCamelCase           =					'''script.py'''
      _lowerCamelCase           =					dedent(
          '''
    from datasets.fingerprint import Hasher
    def foo():
        pass
    print(Hasher.hash(foo))
    '''		)
      _lowerCamelCase           =					dira / script_filename
      _lowerCamelCase           =					dira / script_filename
      with script_patha.open('''w'''		) as f:
            f.write(__UpperCAmelCase		)
      with script_patha.open('''w'''		) as f:
            f.write(__UpperCAmelCase		)
      _lowerCamelCase           =					subprocess.check_output(['''python''', str(__UpperCAmelCase		)]		)
      _lowerCamelCase           =					subprocess.check_output(['''python''', str(__UpperCAmelCase		)]		)
      assert fingerprinta == fingerprinta
def    __magic_name__(	)    ->     Optional[Any]:



      '''simple docstring'''

      _lowerCamelCase           =					{'''a''': [0, 1, 2]}
      _lowerCamelCase           =					DatasetChild(InMemoryTable.from_pydict(__UpperCAmelCase		)		)
      _lowerCamelCase           =					dataset.funca()._fingerprint
      assert expected_fingerprint == dataset.funca()._fingerprint
      assert expected_fingerprint != dataset.funca()._fingerprint

      with Pool(2		) as p:
            assert expected_fingerprint == p.apply_async(dataset.funca		).get()._fingerprint
            assert expected_fingerprint != p.apply_async(dataset.funca		).get()._fingerprint
def    __magic_name__(	)    ->     Optional[int]:



      '''simple docstring'''

      _lowerCamelCase           =					{'''a''': [0, 1, 2]}



      class 			UpperCamelCase					(			datasets.Dataset			):

           '''simple docstring'''

           @fingerprint_transform(inplace=A_    )
           def 		UpperCamelCase_    (       self					,					A_    )			->					Any:






                 """simple docstring"""
                 return DummyDatasetChild(self.data					,					fingerprint=A_    )





      _lowerCamelCase           =					DummyDatasetChild(InMemoryTable.from_pydict(__UpperCAmelCase		)		).func()



      class 			UpperCamelCase					(			datasets.Dataset			):

           '''simple docstring'''

           @fingerprint_transform(inplace=A_					,					version='''1.0.0'''    )
           def 		UpperCamelCase_    (       self					,					A_    )			->					Dict:






                 """simple docstring"""
                 return DummyDatasetChild(self.data					,					fingerprint=A_    )





      _lowerCamelCase           =					DummyDatasetChild(InMemoryTable.from_pydict(__UpperCAmelCase		)		).func()



      class 			UpperCamelCase					(			datasets.Dataset			):

           '''simple docstring'''

           @fingerprint_transform(inplace=A_					,					version='''2.0.0'''    )
           def 		UpperCamelCase_    (       self					,					A_    )			->					Optional[Any]:






                 """simple docstring"""
                 return DummyDatasetChild(self.data					,					fingerprint=A_    )





      _lowerCamelCase           =					DummyDatasetChild(InMemoryTable.from_pydict(__UpperCAmelCase		)		).func()

      assert len({fingeprint_no_version, fingeprint_a, fingeprint_a}		) == 3




def    __magic_name__(	)    ->     Dict:



      '''simple docstring'''

      _lowerCamelCase           =					Hasher()
      hasher.update(lambda __UpperCAmelCase		: x		)
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,
)


snake_case__						      =			AttentionProcessor



class 			UpperCamelCase					(			__lowercase			):

     '''simple docstring'''

     def __init__(       self					,					*A_					,					**A_    )			->					Union[str, Any]:






           """simple docstring"""
           _lowerCamelCase           =					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 			UpperCamelCase					(			__lowercase			):

     '''simple docstring'''

     def __init__(       self					,					*A_					,					**A_    )			->					List[Any]:






           """simple docstring"""
           _lowerCamelCase           =					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 			UpperCamelCase					(			__lowercase			):

     '''simple docstring'''

     def __init__(       self					,					*A_					,					**A_    )			->					Optional[int]:






           """simple docstring"""
           _lowerCamelCase           =					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 			UpperCamelCase					(			__lowercase			):

     '''simple docstring'''

     def __init__(       self					,					*A_					,					**A_    )			->					Optional[int]:






           """simple docstring"""
           _lowerCamelCase           =					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 			UpperCamelCase					(			__lowercase			):

     '''simple docstring'''

     def __init__(       self					,					*A_					,					**A_    )			->					Tuple:






           """simple docstring"""
           _lowerCamelCase           =					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 			UpperCamelCase					(			__lowercase			):

     '''simple docstring'''

     def __init__(       self					,					*A_					,					**A_    )			->					int:






           """simple docstring"""
           _lowerCamelCase           =					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 			UpperCamelCase					(			__lowercase			):

     '''simple docstring'''

     def __init__(       self					,					*A_					,					**A_    )			->					Optional[int]:






           """simple docstring"""
           _lowerCamelCase           =					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 			UpperCamelCase					(			__lowercase			):

     '''simple docstring'''

     def __init__(       self					,					*A_					,					**A_    )			->					Dict:






           """simple docstring"""
           _lowerCamelCase           =					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_    )