





from itertools import compress, repeat
from math import ceil, sqrt


def 			SCREAMING_SNAKE_CASE__     (					_lowercase    :   int )      ->       list[int]:




		'''simple docstring'''

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

		# Odd sieve for numbers in range [3, num - 1]
		lowercase__				:			List[Any]            =		bytearray(B'\x01' ) * ((num >> 1) - 1)

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

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


if __name__ == "__main__":
			import doctest

			doctest.testmod()









from typing import TYPE_CHECKING

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


__UpperCamelCase:  Any   =   {
    """configuration_deta""": ["""DETA_PRETRAINED_CONFIG_ARCHIVE_MAP""", """DetaConfig"""],
}

try:
			if not is_vision_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			__UpperCamelCase:  Tuple   =   ["""DetaImageProcessor"""]

try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			__UpperCamelCase:  List[str]   =   [
			    """DETA_PRETRAINED_MODEL_ARCHIVE_LIST""",
			    """DetaForObjectDetection""",
			    """DetaModel""",
			    """DetaPreTrainedModel""",
			]


if TYPE_CHECKING:
			from .configuration_deta import DETA_PRETRAINED_CONFIG_ARCHIVE_MAP, DetaConfig

			try:
						if not is_vision_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .image_processing_deta import DetaImageProcessor

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_deta import (
						    DETA_PRETRAINED_MODEL_ARCHIVE_LIST,
						    DetaForObjectDetection,
						    DetaModel,
						    DetaPreTrainedModel,
						)

else:
			import sys

			__UpperCamelCase:  int   =   _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)


