

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 						lowercase_					(						__lowercase  ):



      def __init__(    self   :       Optional[int]    ,      *A__   :       Optional[int]    ,      **A__   :       List[str]	)					->  Tuple:
        _snake_case		=							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 						lowercase_					(						__lowercase  ):



      def __init__(    self   :       Union[str, Any]    ,      *A__   :       str    ,      **A__   :       Tuple	)					->  Optional[Any]:
        _snake_case		=							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 						lowercase_					(						__lowercase  ):



      def __init__(    self   :       List[Any]    ,      *A__   :       List[str]    ,      **A__   :       Optional[int]	)					->  Optional[int]:
        _snake_case		=							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 						lowercase_					(						__lowercase  ):



      def __init__(    self   :       List[Any]    ,      *A__   :       Tuple    ,      **A__   :       Optional[int]	)					->  Optional[Any]:
        _snake_case		=							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 						lowercase_					(						__lowercase  ):



      def __init__(    self   :       Any    ,      *A__   :       Tuple    ,      **A__   :       Tuple	)					->  Any:
        _snake_case		=							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 						lowercase_					(						__lowercase  ):



      def __init__(    self   :       Optional[Any]    ,      *A__   :       Dict    ,      **A__   :       Union[str, Any]	)					->  int:
        _snake_case		=							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 						lowercase_					(						__lowercase  ):



      def __init__(    self   :       Union[str, Any]    ,      *A__   :       Any    ,      **A__   :       Union[str, Any]	)					->  Any:
        _snake_case		=							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 						lowercase_					(						__lowercase  ):



      def __init__(    self   :       List[Any]    ,      *A__   :       Dict    ,      **A__   :       Optional[int]	)					->  Optional[int]:
        _snake_case		=							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 __future__ import annotations

from typing import Generic, TypeVar

__A    	=			TypeVar('''T''')



class 						lowercase_					(						Generic[T]  ):



      def __init__(    self   :       str    ,      A__   :       T	)					->  Union[str, Any]:
        _snake_case		=							data  # Assign data
        _snake_case		=							None  # Initialize next as null
        _snake_case		=							None  # Initialize prev as null



class 						lowercase_					(						Generic[T]  ):



      def __init__(    self   :       List[str]	)					->  None:
        _snake_case		=							None



      def 		UpperCamelCase_	(    self   :       List[str]    ,      A__   :       T	)					->  None:
        if self.head is None:
          _snake_case		=							Node(A__	)
        else:
          _snake_case		=							Node(A__	)
          _snake_case		=							new_node
          _snake_case		=							self.head
          _snake_case		=							None
          _snake_case		=							new_node



      def 		UpperCamelCase_	(    self   :       Tuple	)					->  T | None:
        if self.head is None:
          return None
        else:
          assert self.head is not None
          _snake_case		=							self.head.data
          _snake_case		=							self.head.next
          if self.head is not None:
            _snake_case		=							None
          return temp



      def 		UpperCamelCase_	(    self   :       Union[str, Any]	)					->  T | None:
        return self.head.data if self.head is not None else None



      def __len__(    self   :       Optional[int]	)					->  int:
        _snake_case		=							self.head
        _snake_case		=							0
        while temp is not None:
          count += 1
          _snake_case		=							temp.next
        return count



      def 		UpperCamelCase_	(    self   :       Union[str, Any]	)					->  bool:
        return self.head is None







      def 		UpperCamelCase_	(    self   :       Dict	)					->  None:
        print('''stack elements are:'''	)
        _snake_case		=							self.head
        while temp is not None:
          print(temp.data    ,      end='''->'''	)
          _snake_case		=							temp.next


# Code execution starts here
if __name__ == "__main__":
 # Start with the empty stack
 __A    	=			Stack()

 # Insert 4 at the beginning. So stack becomes 4->None
 print('''Stack operations using Doubly LinkedList''')
 stack.push(4)

 # Insert 5 at the beginning. So stack becomes 4->5->None
 stack.push(5)

 # Insert 6 at the beginning. So stack becomes 4->5->6->None
 stack.push(6)

 # Insert 7 at the beginning. So stack becomes 4->5->6->7->None
 stack.push(7)

 # Print the stack
 stack.print_stack()

 # Print the top element
 print('''\nTop element is ''', stack.top())

 # Print the stack size
 print('''Size of the stack is ''', len(stack))

 # pop the top element
 stack.pop()

 # pop the top element
 stack.pop()

 # two elements have now been popped off
 stack.print_stack()

 # Print True if the stack is empty else False
 print('''\nstack is empty:''', stack.is_empty())

