






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        SCREAMING_SNAKE_CASE	(	lowerCAmelCase    ):
     '''simple docstring'''


     def __init__( self				:		str    ,       *UpperCAmelCase_				:		List[str]    ,       **UpperCAmelCase_				:		Union[str, Any]					):
       SCREAMING_SNAKE_CASE				:					int		  =			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        SCREAMING_SNAKE_CASE	(	lowerCAmelCase    ):
     '''simple docstring'''


     def __init__( self				:		Tuple    ,       *UpperCAmelCase_				:		int    ,       **UpperCAmelCase_				:		List[Any]					):
       SCREAMING_SNAKE_CASE				:					int		  =			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        SCREAMING_SNAKE_CASE	(	lowerCAmelCase    ):
     '''simple docstring'''


     def __init__( self				:		Optional[int]    ,       *UpperCAmelCase_				:		Tuple    ,       **UpperCAmelCase_				:		Any					):
       SCREAMING_SNAKE_CASE				:					Optional[Any]		  =			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        SCREAMING_SNAKE_CASE	(	lowerCAmelCase    ):
     '''simple docstring'''


     def __init__( self				:		Any    ,       *UpperCAmelCase_				:		Optional[Any]    ,       **UpperCAmelCase_				:		str					):
       SCREAMING_SNAKE_CASE				:					Union[str, Any]		  =			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        SCREAMING_SNAKE_CASE	(	lowerCAmelCase    ):
     '''simple docstring'''


     def __init__( self				:		Union[str, Any]    ,       *UpperCAmelCase_				:		Union[str, Any]    ,       **UpperCAmelCase_				:		Optional[Any]					):
       SCREAMING_SNAKE_CASE				:					List[Any]		  =			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        SCREAMING_SNAKE_CASE	(	lowerCAmelCase    ):
     '''simple docstring'''


     def __init__( self				:		Union[str, Any]    ,       *UpperCAmelCase_				:		List[Any]    ,       **UpperCAmelCase_				:		str					):
       SCREAMING_SNAKE_CASE				:					Optional[Any]		  =			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        SCREAMING_SNAKE_CASE	(	lowerCAmelCase    ):
     '''simple docstring'''


     def __init__( self				:		Union[str, Any]    ,       *UpperCAmelCase_				:		Optional[Any]    ,       **UpperCAmelCase_				:		Optional[Any]					):
       SCREAMING_SNAKE_CASE				:					Any		  =			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        SCREAMING_SNAKE_CASE	(	lowerCAmelCase    ):
     '''simple docstring'''


     def __init__( self				:		Dict    ,       *UpperCAmelCase_				:		Tuple    ,       **UpperCAmelCase_				:		Tuple					):
       SCREAMING_SNAKE_CASE				:					int		  =			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 math
from collections.abc import Generator


def      lowerCamelCase__	(   lowercase ):

  """simple docstring"""






  SCREAMING_SNAKE_CASE				:					Generator		  =			(i for i in range(1  ,   (max_n + 1) ))
  for i in (n for n in numbers if n > 1):
    for j in range(2  ,   lowercase ):
      if (i % j) == 0:
        break
    else:
      yield i


def      lowerCamelCase__	(   lowercase ):

  """simple docstring"""






  SCREAMING_SNAKE_CASE				:					Generator		  =			(i for i in range(1  ,   (max_n + 1) ))
  for i in (n for n in numbers if n > 1):
    # only need to check for factors up to sqrt(i)
    SCREAMING_SNAKE_CASE				:					str		  =			int(math.sqrt(lowercase ) ) + 1
    for j in range(2  ,   lowercase ):
      if (i % j) == 0:
        break
    else:
      yield i


def      lowerCamelCase__	(   lowercase ):

  """simple docstring"""






  SCREAMING_SNAKE_CASE				:					Generator		  =			(i for i in range(1  ,   (max_n + 1)  ,   2 ))
  # It's useless to test even numbers as they will not be prime
  if max_n > 2:
    yield 2  # Because 2 will not be tested, it's necessary to yield it now
  for i in (n for n in numbers if n > 1):
    SCREAMING_SNAKE_CASE				:					Optional[Any]		  =			int(math.sqrt(lowercase ) ) + 1
    for j in range(3  ,   lowercase  ,   2 ):
      # As we removed the even numbers, we don't need them now
      if (i % j) == 0:
        break
    else:
      yield i


def      lowerCamelCase__	(   ):

  """simple docstring"""






  from timeit import timeit

  SCREAMING_SNAKE_CASE				:					Tuple		  =			"from __main__ import slow_primes, primes, fast_primes"
  print(timeit("slow_primes(1_000_000_000_000)"  ,   setup=lowercase  ,   number=1000000 ) )
  print(timeit("primes(1_000_000_000_000)"  ,   setup=lowercase  ,   number=1000000 ) )
  print(timeit("fast_primes(1_000_000_000_000)"  ,   setup=lowercase  ,   number=1000000 ) )


if __name__ == "__main__":
   snake_case			 =						int(input("""Calculate primes up to:\n>> """).strip())
   for ret in primes(number):
      print(ret)
   benchmark()






