
'''simple docstring'''



from __future__ import annotations

from collections.abc import Iterable
from dataclasses import dataclass
from typing import Any

class       _a :





       """simple docstring"""




       SCREAMING_SNAKE_CASE					=     ('_front', '_back', '_len')

       @dataclass
       class       _a :





              """simple docstring"""




              SCREAMING_SNAKE_CASE					=     None
              SCREAMING_SNAKE_CASE					=     None
              SCREAMING_SNAKE_CASE					=     None






       class       _a :





              """simple docstring"""




              SCREAMING_SNAKE_CASE					=     ('_cur',)






              def __init__(							self				,							A__					)			->	None:
                 _SCREAMING_SNAKE_CASE          = cur






              def __iter__(							self					)			->	Deque._Iterator:
                 return self






              def 				UpperCamelCase (							self					)			->	Any:
                 if self._cur is None:
                    # finished iterating
                    raise StopIteration
                 _SCREAMING_SNAKE_CASE          = self._cur.val
                 _SCREAMING_SNAKE_CASE          = self._cur.next_node

                 return val






       def __init__(							self				,							A__ = None					)			->	None:
          _SCREAMING_SNAKE_CASE          = None
          _SCREAMING_SNAKE_CASE          = None
          _SCREAMING_SNAKE_CASE          = 0

          if iterable is not None:
             # append every value to the deque
             for val in iterable:
                self.append(A__					)






       def 				UpperCamelCase (							self				,							A__					)			->	None:
          _SCREAMING_SNAKE_CASE          = self._Node(A__				,							A__				,							A__					)
          if self.is_empty():
             # front = back
             _SCREAMING_SNAKE_CASE          = _SCREAMING_SNAKE_CASE          = node
             _SCREAMING_SNAKE_CASE          = 1
          else:
             # connect nodes
             _SCREAMING_SNAKE_CASE          = node
             _SCREAMING_SNAKE_CASE          = self._back
             _SCREAMING_SNAKE_CASE          = node  # assign new back to the new node

             self._len += 1

             # make sure there were no errors
             assert not self.is_empty(), "Error on appending value."






       def 				UpperCamelCase (							self				,							A__					)			->	None:
          _SCREAMING_SNAKE_CASE          = self._Node(A__				,							A__				,							A__					)
          if self.is_empty():
             # front = back
             _SCREAMING_SNAKE_CASE          = _SCREAMING_SNAKE_CASE          = node
             _SCREAMING_SNAKE_CASE          = 1
          else:
             # connect nodes
             _SCREAMING_SNAKE_CASE          = self._front
             _SCREAMING_SNAKE_CASE          = node
             _SCREAMING_SNAKE_CASE          = node  # assign new front to the new node

             self._len += 1

             # make sure there were no errors
             assert not self.is_empty(), "Error on appending value."






       def 				UpperCamelCase (							self				,							A__					)			->	None:
          for val in iterable:
             self.append(A__					)






       def 				UpperCamelCase (							self				,							A__					)			->	None:
          for val in iterable:
             self.appendleft(A__					)






       def 				UpperCamelCase (							self					)			->	Any:
          assert not self.is_empty(), "Deque is empty."

          _SCREAMING_SNAKE_CASE          = self._back
          _SCREAMING_SNAKE_CASE          = self._back.prev_node  # set new back
          # drop the last node - python will deallocate memory automatically
          _SCREAMING_SNAKE_CASE          = None

          self._len -= 1

          return topop.val






       def 				UpperCamelCase (							self					)			->	Any:
          assert not self.is_empty(), "Deque is empty."

          _SCREAMING_SNAKE_CASE          = self._front
          _SCREAMING_SNAKE_CASE          = self._front.next_node  # set new front and drop the first node
          _SCREAMING_SNAKE_CASE          = None

          self._len -= 1

          return topop.val






       def 				UpperCamelCase (							self					)			->	bool:
          return self._front is None






       def __len__(							self					)			->	int:
          return self._len






       def __eq__(							self				,							A__					)			->	bool:

          if not isinstance(A__				,							A__					):
             return NotImplemented

          _SCREAMING_SNAKE_CASE          = self._front
          _SCREAMING_SNAKE_CASE          = other._front

          # if the length of the dequeues are not the same, they are not equal
          if len(self					) != len(A__					):
             return False

          while me is not None and oth is not None:
             # compare every value
             if me.val != oth.val:
                return False
             _SCREAMING_SNAKE_CASE          = me.next_node
             _SCREAMING_SNAKE_CASE          = oth.next_node

          return True






       def __iter__(							self					)			->	Deque._Iterator:
          return Deque._Iterator(self._front					)






       def __repr__(							self					)			->	str:
          _SCREAMING_SNAKE_CASE          = []
          _SCREAMING_SNAKE_CASE          = self._front
          while aux is not None:
             # append the values in a list to display
             values_list.append(aux.val					)
             _SCREAMING_SNAKE_CASE          = aux.next_node

          return F"[{', '.join(repr(A__					) for val in values_list					)}]"


if __name__ == "__main__":
     import doctest

     doctest.testmod()








'''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,
)


UpperCamelCase__					:						str											=     AttentionProcessor

class       _a (_lowerCamelCase):





       """simple docstring"""




       def __init__(							self				,							*A__				,							**A__					)			->	int:
          _SCREAMING_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       _a (_lowerCamelCase):





       """simple docstring"""




       def __init__(							self				,							*A__				,							**A__					)			->	Any:
          _SCREAMING_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       _a (_lowerCamelCase):





       """simple docstring"""




       def __init__(							self				,							*A__				,							**A__					)			->	List[str]:
          _SCREAMING_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       _a (_lowerCamelCase):





       """simple docstring"""




       def __init__(							self				,							*A__				,							**A__					)			->	Tuple:
          _SCREAMING_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       _a (_lowerCamelCase):





       """simple docstring"""




       def __init__(							self				,							*A__				,							**A__					)			->	str:
          _SCREAMING_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       _a (_lowerCamelCase):





       """simple docstring"""




       def __init__(							self				,							*A__				,							**A__					)			->	Union[str, Any]:
          _SCREAMING_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       _a (_lowerCamelCase):





       """simple docstring"""




       def __init__(							self				,							*A__				,							**A__					)			->	str:
          _SCREAMING_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       _a (_lowerCamelCase):





       """simple docstring"""




       def __init__(							self				,							*A__				,							**A__					)			->	Any:
          _SCREAMING_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__					)






