code: 
  
  
  '''simple docstring'''
  
  
  
  
  
  def 			__lowercase	(						_UpperCamelCase,    _UpperCamelCase     )    ->Any:
  
  
  
  
  
  
  
        """simple docstring"""
  
        lowercase			:   Any					   =		len(_UpperCamelCase     )
        lowercase			:   Union[str, Any]					   =		len(_UpperCamelCase     )
        lowercase			:   Optional[Any]					   =		(
            first_input_list_length
            if first_input_list_length > second_input_list_length
            else second_input_list_length
        )
        lowercase			:   str					   =		[]
        for char_count in range(_UpperCamelCase     ):
              if char_count < first_input_list_length:
                    output_result_list.append(first_input_list[char_count]     )
              if char_count < second_input_list_length:
                    output_result_list.append(second_input_list[char_count]     )
  
        return output_result_list
  
  
  if __name__ == "__main__":
    print(alternative_list_arrange(['''A''', '''B''', '''C'''], [1, 2, 3, 4, 5]), end=''' ''')
  
  
style_context: 
  
  
  from typing import TYPE_CHECKING
  
  from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available
  
  
  __a   				=      {'''configuration_yoso''': ['''YOSO_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''YosoConfig''']}
  
  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    __a   				=      [
        '''YOSO_PRETRAINED_MODEL_ARCHIVE_LIST''',
        '''YosoForMaskedLM''',
        '''YosoForMultipleChoice''',
        '''YosoForQuestionAnswering''',
        '''YosoForSequenceClassification''',
        '''YosoForTokenClassification''',
        '''YosoLayer''',
        '''YosoModel''',
        '''YosoPreTrainedModel''',
    ]
  
  
  if TYPE_CHECKING:
    from .configuration_yoso import YOSO_PRETRAINED_CONFIG_ARCHIVE_MAP, YosoConfig
  
    try:
      if not is_torch_available():
        raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
      pass
    else:
      from .modeling_yoso import (
          YOSO_PRETRAINED_MODEL_ARCHIVE_LIST,
          YosoForMaskedLM,
          YosoForMultipleChoice,
          YosoForQuestionAnswering,
          YosoForSequenceClassification,
          YosoForTokenClassification,
          YosoLayer,
          YosoModel,
          YosoPreTrainedModel,
      )
  
  
  else:
    import sys
  
    __a   				=      _LazyModule(__name__, globals()['''__file__'''], _import_structure)
  
  