




import math







def 		lowercase__   (		__A:	int				):





					'''simple docstring'''






					__magic_name__							:	List[str]    							=							[]
					__magic_name__							:	Optional[Any]    							=							2
					__magic_name__							:	List[str]    							=							int(math.sqrt(__A				)				)  # Size of every segment
					__magic_name__							:	str    							=							[True] * (end + 1)
					__magic_name__							:	str    							=							[]

					while start <= end:
										if temp[start] is True:
															in_prime.append(__A				)
															for i in range(start * start							,end + 1							,__A				):
																				__magic_name__							:	Dict    							=							False
										start += 1
					prime += in_prime

					__magic_name__							:	Tuple    							=							end + 1
					__magic_name__							:	int    							=							min(2 * end							,__A				)

					while low <= n:
										__magic_name__							:	Any    							=							[True] * (high - low + 1)
										for each in in_prime:
															__magic_name__							:	List[Any]    							=							math.floor(low / each				) * each
															if t < low:
																				t += each

															for j in range(__A							,high + 1							,__A				):
																				__magic_name__							:	int    							=							False

										for j in range(len(__A				)				):
															if temp[j] is True:
																				prime.append(j + low				)

										__magic_name__							:	Tuple    							=							high + 1
										__magic_name__							:	List[str]    							=							min(high + end							,__A				)

					return prime
print(sieve(10**6))









from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tf_available, is_torch_available


__lowerCamelCase   :						int				=			{'''configuration_swin''': ['''SWIN_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''SwinConfig''', '''SwinOnnxConfig''']}


try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	__lowerCamelCase   :						int				=			[
	    '''SWIN_PRETRAINED_MODEL_ARCHIVE_LIST''',
	    '''SwinForImageClassification''',
	    '''SwinForMaskedImageModeling''',
	    '''SwinModel''',
	    '''SwinPreTrainedModel''',
	    '''SwinBackbone''',
	]

try:
	if not is_tf_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	__lowerCamelCase   :						Optional[int]				=			[
	    '''TF_SWIN_PRETRAINED_MODEL_ARCHIVE_LIST''',
	    '''TFSwinForImageClassification''',
	    '''TFSwinForMaskedImageModeling''',
	    '''TFSwinModel''',
	    '''TFSwinPreTrainedModel''',
	]

if TYPE_CHECKING:
	from .configuration_swin import SWIN_PRETRAINED_CONFIG_ARCHIVE_MAP, SwinConfig, SwinOnnxConfig

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_swin import (
		    SWIN_PRETRAINED_MODEL_ARCHIVE_LIST,
		    SwinBackbone,
		    SwinForImageClassification,
		    SwinForMaskedImageModeling,
		    SwinModel,
		    SwinPreTrainedModel,
		)

	try:
		if not is_tf_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_tf_swin import (
		    TF_SWIN_PRETRAINED_MODEL_ARCHIVE_LIST,
		    TFSwinForImageClassification,
		    TFSwinForMaskedImageModeling,
		    TFSwinModel,
		    TFSwinPreTrainedModel,
		)

else:
	import sys

	__lowerCamelCase   :						Union[str, Any]				=			_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)



