
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,
)


__lowerCAmelCase      :					Union[str, Any]   	=       AttentionProcessor




class 	UpperCAmelCase_      (			_A					):


  '''simple docstring'''







  def __init__(			self      :			Dict      ,							*UpperCamelCase__      :			int      ,							**UpperCamelCase__      :			Optional[int]   )      ->     List[Any]:







    """simple docstring"""






    __magic_name__    					=	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"""      ,							UpperCamelCase__      ,							standard_warn=UpperCamelCase__   )
    super().__init__(*UpperCamelCase__      ,							**UpperCamelCase__   )







class 	UpperCAmelCase_      (			_A					):


  '''simple docstring'''







  def __init__(			self      :			str      ,							*UpperCamelCase__      :			Any      ,							**UpperCamelCase__      :			str   )      ->     int:







    """simple docstring"""






    __magic_name__    					=	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"""      ,							UpperCamelCase__      ,							standard_warn=UpperCamelCase__   )
    super().__init__(*UpperCamelCase__      ,							**UpperCamelCase__   )







class 	UpperCAmelCase_      (			_A					):


  '''simple docstring'''







  def __init__(			self      :			Optional[Any]      ,							*UpperCamelCase__      :			Optional[int]      ,							**UpperCamelCase__      :			Dict   )      ->     Tuple:







    """simple docstring"""






    __magic_name__    					=	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"""      ,							UpperCamelCase__      ,							standard_warn=UpperCamelCase__   )
    super().__init__(*UpperCamelCase__      ,							**UpperCamelCase__   )







class 	UpperCAmelCase_      (			_A					):


  '''simple docstring'''







  def __init__(			self      :			int      ,							*UpperCamelCase__      :			int      ,							**UpperCamelCase__      :			Any   )      ->     Dict:







    """simple docstring"""






    __magic_name__    					=	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"""      ,							UpperCamelCase__      ,							standard_warn=UpperCamelCase__   )
    super().__init__(*UpperCamelCase__      ,							**UpperCamelCase__   )







class 	UpperCAmelCase_      (			_A					):


  '''simple docstring'''







  def __init__(			self      :			List[str]      ,							*UpperCamelCase__      :			Union[str, Any]      ,							**UpperCamelCase__      :			Union[str, Any]   )      ->     Optional[int]:







    """simple docstring"""






    __magic_name__    					=	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"""      ,							UpperCamelCase__      ,							standard_warn=UpperCamelCase__   )
    super().__init__(*UpperCamelCase__      ,							**UpperCamelCase__   )







class 	UpperCAmelCase_      (			_A					):


  '''simple docstring'''







  def __init__(			self      :			Optional[int]      ,							*UpperCamelCase__      :			Any      ,							**UpperCamelCase__      :			Dict   )      ->     Any:







    """simple docstring"""






    __magic_name__    					=	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"""      ,							UpperCamelCase__      ,							standard_warn=UpperCamelCase__   )
    super().__init__(*UpperCamelCase__      ,							**UpperCamelCase__   )







class 	UpperCAmelCase_      (			_A					):


  '''simple docstring'''







  def __init__(			self      :			List[Any]      ,							*UpperCamelCase__      :			Tuple      ,							**UpperCamelCase__      :			Any   )      ->     Optional[int]:







    """simple docstring"""






    __magic_name__    					=	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"""      ,							UpperCamelCase__      ,							standard_warn=UpperCamelCase__   )
    super().__init__(*UpperCamelCase__      ,							**UpperCamelCase__   )







class 	UpperCAmelCase_      (			_A					):


  '''simple docstring'''







  def __init__(			self      :			str      ,							*UpperCamelCase__      :			Optional[int]      ,							**UpperCamelCase__      :			Any   )      ->     Tuple:







    """simple docstring"""






    __magic_name__    					=	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"""      ,							UpperCamelCase__      ,							standard_warn=UpperCamelCase__   )
    super().__init__(*UpperCamelCase__      ,							**UpperCamelCase__   )



import sys

sys.set_int_max_str_digits(0)  # type: ignore

def a__   (	A_ ):






  '''simple docstring'''





  __magic_name__    					=	[0] * 11
  __magic_name__    					=	[0] * 11

  # mark last 9 numbers
  for _ in range(9 ):
    __magic_name__    					=	1
    __magic_name__    					=	number // 10
  # flag
  __magic_name__    					=	True

  # check last 9 numbers for pandigitality

  for x in range(9 ):
    if not check_last[x + 1]:
      __magic_name__    					=	False
  if not f:
    return f

  # mark first 9 numbers
  __magic_name__    					=	int(str(A_ )[:9] )

  for _ in range(9 ):
    __magic_name__    					=	1
    __magic_name__    					=	number // 10

  # check first 9 numbers for pandigitality

  for x in range(9 ):
    if not check_front[x + 1]:
      __magic_name__    					=	False
  return f

def a__   (	A_ ):






  '''simple docstring'''





  __magic_name__    					=	[0] * 11

  # mark last 9 numbers
  for _ in range(9 ):
    __magic_name__    					=	1
    __magic_name__    					=	number // 10
  # flag
  __magic_name__    					=	True

  # check last 9 numbers for pandigitality

  for x in range(9 ):
    if not check_last[x + 1]:
      __magic_name__    					=	False
  return f

def a__   (	):






  '''simple docstring'''





  __magic_name__    					=	1
  __magic_name__    					=	1
  __magic_name__    					=	2
  # temporary Fibonacci numbers

  __magic_name__    					=	1
  __magic_name__    					=	1
  __magic_name__    					=	2
  # temporary Fibonacci numbers mod 1e9

  # mod m=1e9, done for fast optimisation
  __magic_name__    					=	[0] * 1000000
  __magic_name__    					=	1000000000

  for x in range(1000000 ):
    __magic_name__    					=	(aa + ba) % m
    __magic_name__    					=	ba % m
    __magic_name__    					=	ca % m
    if checka(A_ ):
      __magic_name__    					=	1

  for x in range(1000000 ):
    __magic_name__    					=	a + b
    __magic_name__    					=	b
    __magic_name__    					=	c
    # perform check only if in tocheck
    if tocheck[x + 3] and check(A_ ):
      return x + 3  # first 2 already done
  return -1


if __name__ == "__main__":
    print(F'''{solution() = }''')

