
'''simple docstring'''





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





def 							snake_case				(		UpperCAmelCase						)->      list[int]:







      """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(UpperCAmelCase						)						) + 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   ,	UpperCAmelCase   ,	2						)   ,	UpperCAmelCase						)						)


if __name__ == "__main__":
 import doctest

 doctest.testmod()












from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_torch_available,
)


UpperCAmelCase_    ={
    """configuration_bark""": [
        """BARK_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """BarkCoarseConfig""",
        """BarkConfig""",
        """BarkFineConfig""",
        """BarkSemanticConfig""",
    ],
    """processing_bark""": ["""BarkProcessor"""],
}

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		UpperCAmelCase_    =[
		    """BARK_PRETRAINED_MODEL_ARCHIVE_LIST""",
		    """BarkFineModel""",
		    """BarkSemanticModel""",
		    """BarkCoarseModel""",
		    """BarkModel""",
		    """BarkPreTrainedModel""",
		    """BarkCausalModel""",
		]

if TYPE_CHECKING:
		from .configuration_bark import (
		    BARK_PRETRAINED_CONFIG_ARCHIVE_MAP,
		    BarkCoarseConfig,
		    BarkConfig,
		    BarkFineConfig,
		    BarkSemanticConfig,
		)
		from .processing_bark import BarkProcessor

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_bark import (
				    BARK_PRETRAINED_MODEL_ARCHIVE_LIST,
				    BarkCausalModel,
				    BarkCoarseModel,
				    BarkFineModel,
				    BarkModel,
				    BarkPreTrainedModel,
				    BarkSemanticModel,
				)

else:
		import sys

		UpperCAmelCase_    =_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)



