



'''simple docstring'''


def 				__lowerCamelCase				(   A__    )       ->	list[int]:






   """simple docstring"""

   if num <= 0:
      raise ValueError('Input must be a positive integer'    )

   UpperCamelCase					=  [True] * (num + 1)

   UpperCamelCase					=  2
   while p * p <= num:
      if primes[p]:
         for i in range(p * p    ,						num + 1    ,						A__    ):
            UpperCamelCase					=  False
      p += 1

   return [prime for prime in range(2    ,						num + 1    ) if primes[prime]]


if __name__ == "__main__":
   import doctest

   doctest.testmod()

   _lowerCamelCase	:       Optional[int]      	=	int(input("Enter a positive integer: ").strip())
   print(prime_sieve_eratosthenes(user_num))






'''simple docstring'''


from typing import TYPE_CHECKING

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


_lowerCamelCase	:       List[Any]      	=	{
    "configuration_m2m_100": ["M2M_100_PRETRAINED_CONFIG_ARCHIVE_MAP", "M2M100Config", "M2M100OnnxConfig"],
    "tokenization_m2m_100": ["M2M100Tokenizer"],
}


try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   _lowerCamelCase	:       int      	=	[
       "M2M_100_PRETRAINED_MODEL_ARCHIVE_LIST",
       "M2M100ForConditionalGeneration",
       "M2M100Model",
       "M2M100PreTrainedModel",
   ]


if TYPE_CHECKING:
   from .configuration_mam_aaa import M2M_100_PRETRAINED_CONFIG_ARCHIVE_MAP, MaMaaaConfig, MaMaaaOnnxConfig
   from .tokenization_mam_aaa import MaMaaaTokenizer

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_mam_aaa import (
          M2M_100_PRETRAINED_MODEL_ARCHIVE_LIST,
          MaMaaaForConditionalGeneration,
          MaMaaaModel,
          MaMaaaPreTrainedModel,
      )


else:
   import sys

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

