


'''simple docstring'''

def 				__UpperCamelCase							(	lowercase__						:  int = 20 ):






     '''simple docstring'''





     try:
          __lowercase					=int(a_ )
     except (TypeError, ValueError):
          raise TypeError('Parameter n must be int or castable to int.' )
     if n <= 0:
          raise ValueError('Parameter n must be greater than or equal to one.' )
     __lowercase					=0
     while 1:
          i += n * (n - 1)
          __lowercase					=0
          for j in range(2,					a_ ):
               if i % j != 0:
                    __lowercase					=1
                    break
          if nfound == 0:
               if i == 0:
                    __lowercase					=1
               return i
     return None


if __name__ == "__main__":
       print(F'''{solution() = }''')





'''simple docstring'''

from typing import TYPE_CHECKING

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


UpperCAmelCase				   =  {
    '''configuration_speech_to_text_2''': ['''SPEECH_TO_TEXT_2_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''Speech2Text2Config'''],
    '''processing_speech_to_text_2''': ['''Speech2Text2Processor'''],
    '''tokenization_speech_to_text_2''': ['''Speech2Text2Tokenizer'''],
}


try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       UpperCAmelCase				   =  [
           '''SPEECH_TO_TEXT_2_PRETRAINED_MODEL_ARCHIVE_LIST''',
           '''Speech2Text2ForCausalLM''',
           '''Speech2Text2PreTrainedModel''',
       ]


if TYPE_CHECKING:
       from .configuration_speech_to_text_a import SPEECH_TO_TEXT_2_PRETRAINED_CONFIG_ARCHIVE_MAP, SpeechaTextaConfig
       from .processing_speech_to_text_a import SpeechaTextaProcessor
       from .tokenization_speech_to_text_a import SpeechaTextaTokenizer

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_speech_to_text_a import (
                  SPEECH_TO_TEXT_2_PRETRAINED_MODEL_ARCHIVE_LIST,
                  SpeechaTextaForCausalLM,
                  SpeechaTextaPreTrainedModel,
              )

else:
       import sys

       UpperCAmelCase				   =  _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)


