

"""simple docstring"""




from itertools import compress, repeat
from math import ceil, sqrt
def      __SCREAMING_SNAKE_CASE		(		lowercase__   ):
					"""simple docstring"""

					if num <= 2:
										return []
					if num == 3:
										return [2]

					# Odd sieve for numbers in range [3, num - 1]
					A    =      bytearray(B"\x01"   ) * ((num >> 1) - 1)

					for i in range(3    ,							int(sqrt(lowercase__   )   ) + 1    ,							2   ):
										if sieve[(i >> 1) - 1]:
															A    =      i**2
															A    =      repeat(
															    0    ,							ceil((num - i_squared) / (i << 1)   )   )

					return [2] + list(compress(range(3    ,							lowercase__    ,							2   )    ,							lowercase__   )   )


if __name__ == "__main__":
	import doctest

	doctest.testmod()








"""simple docstring"""




from typing import TYPE_CHECKING

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


__A  :					int												=	{
    'configuration_nystromformer': ['NYSTROMFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP', 'NystromformerConfig'],
}

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	__A  :					Any												=	[
	    'NYSTROMFORMER_PRETRAINED_MODEL_ARCHIVE_LIST',
	    'NystromformerForMaskedLM',
	    'NystromformerForMultipleChoice',
	    'NystromformerForQuestionAnswering',
	    'NystromformerForSequenceClassification',
	    'NystromformerForTokenClassification',
	    'NystromformerLayer',
	    'NystromformerModel',
	    'NystromformerPreTrainedModel',
	]


if TYPE_CHECKING:
	from .configuration_nystromformer import NYSTROMFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, NystromformerConfig

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_nystromformer import (
		    NYSTROMFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
		    NystromformerForMaskedLM,
		    NystromformerForMultipleChoice,
		    NystromformerForQuestionAnswering,
		    NystromformerForSequenceClassification,
		    NystromformerForTokenClassification,
		    NystromformerLayer,
		    NystromformerModel,
		    NystromformerPreTrainedModel,
		)


else:
	import sys

	__A  :					Optional[Any]												=	_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)





