"""simple docstring"""




def 							SCREAMING_SNAKE_CASE  (    _lowerCamelCase		: Union[str, Any]			) ->   list[int]:

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

  _lowerCAmelCase		: Optional[int]						    =  [True] * (num + 1)

  _lowerCAmelCase		: Union[str, Any]						    =  2
  while p * p <= num:
    if primes[p]:
      for i in range(p * p    ,num + 1    ,lowerCamelCase__			):
        _lowerCAmelCase		: int						    =  False
    p += 1

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


if __name__ == "__main__":
     import doctest

     doctest.testmod()

     _a   :	Dict 					=     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_torch_available


_a   :	Tuple 					=     {'configuration_wavlm': ['WAVLM_PRETRAINED_CONFIG_ARCHIVE_MAP', 'WavLMConfig']}

try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     _a   :	str 					=     [
         'WAVLM_PRETRAINED_MODEL_ARCHIVE_LIST',
         'WavLMForAudioFrameClassification',
         'WavLMForCTC',
         'WavLMForSequenceClassification',
         'WavLMForXVector',
         'WavLMModel',
         'WavLMPreTrainedModel',
     ]

if TYPE_CHECKING:
     from .configuration_wavlm import WAVLM_PRETRAINED_CONFIG_ARCHIVE_MAP, WavLMConfig

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_wavlm import (
              WAVLM_PRETRAINED_MODEL_ARCHIVE_LIST,
              WavLMForAudioFrameClassification,
              WavLMForCTC,
              WavLMForSequenceClassification,
              WavLMForXVector,
              WavLMModel,
              WavLMPreTrainedModel,
          )

else:
     import sys

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




