import math
from collections.abc import Generator




def 				_snake_case     (       lowerCAmelCase							:       int     ):
		"""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       ,			lowerCAmelCase     ):
						if (i % j) == 0:
								break
				else:
						yield i




def 				_snake_case     (       lowerCAmelCase							:       int     ):
		"""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_  :		Optional[int]    				=   int(math.sqrt(lowerCAmelCase     )     ) + 1
				for j in range(2       ,			lowerCAmelCase     ):
						if (i % j) == 0:
								break
				else:
						yield i




def 				_snake_case     (       lowerCAmelCase							:       int     ):
		"""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_  :		Any    				=   int(math.sqrt(lowerCAmelCase     )     ) + 1
				for j in range(3       ,			lowerCAmelCase       ,			2     ):
						# As we removed the even numbers, we don't need them now
						if (i % j) == 0:
								break
				else:
						yield i




def 				_snake_case     (       ):
		"""simple docstring"""







		from timeit import timeit

		SCREAMING_SNAKE_CASE_  :		str    				=   "from __main__ import slow_primes, primes, fast_primes"
		print(timeit("slow_primes(1_000_000_000_000)"       ,			setup=lowerCAmelCase       ,			number=1_0_0_0_0_0_0     )     )
		print(timeit("primes(1_000_000_000_000)"       ,			setup=lowerCAmelCase       ,			number=1_0_0_0_0_0_0     )     )
		print(timeit("fast_primes(1_000_000_000_000)"       ,			setup=lowerCAmelCase       ,			number=1_0_0_0_0_0_0     )     )


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

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 :     str          =  AttentionProcessor






class 		a__						( A__ ):

					def __init__(   self				:	Tuple,*_A				:	Union[str, Any],**_A				:	Any   ):







							"""simple docstring"""






							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",_A,standard_warn=_A   )
							super().__init__(*_A,**_A   )







class 		a__						( A__ ):

					def __init__(   self				:	str,*_A				:	Optional[Any],**_A				:	List[str]   ):







							"""simple docstring"""






							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",_A,standard_warn=_A   )
							super().__init__(*_A,**_A   )







class 		a__						( A__ ):

					def __init__(   self				:	str,*_A				:	Dict,**_A				:	Optional[int]   ):







							"""simple docstring"""






							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",_A,standard_warn=_A   )
							super().__init__(*_A,**_A   )







class 		a__						( A__ ):

					def __init__(   self				:	List[Any],*_A				:	List[str],**_A				:	str   ):







							"""simple docstring"""






							SCREAMING_SNAKE_CASE_  :		Tuple    				=   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__						( A__ ):

					def __init__(   self				:	Optional[int],*_A				:	Any,**_A				:	int   ):







							"""simple docstring"""






							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",_A,standard_warn=_A   )
							super().__init__(*_A,**_A   )







class 		a__						( A__ ):

					def __init__(   self				:	Union[str, Any],*_A				:	Union[str, Any],**_A				:	Any   ):







							"""simple docstring"""






							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",_A,standard_warn=_A   )
							super().__init__(*_A,**_A   )







class 		a__						( A__ ):

					def __init__(   self				:	Dict,*_A				:	Dict,**_A				:	Optional[Any]   ):







							"""simple docstring"""






							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",_A,standard_warn=_A   )
							super().__init__(*_A,**_A   )







class 		a__						( A__ ):

					def __init__(   self				:	int,*_A				:	Dict,**_A				:	Union[str, Any]   ):







							"""simple docstring"""






							SCREAMING_SNAKE_CASE_  :		str    				=   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   )
