def    __magic_name__(	__UpperCAmelCase			,    __UpperCAmelCase		)    ->     str:



      '''simple docstring'''

      _lowerCamelCase           =					len(lowercase__		)
      _lowerCamelCase           =					len(lowercase__		)
      _lowerCamelCase           =					(
          first_input_list_length
          if first_input_list_length > second_input_list_length
          else second_input_list_length
      )
      _lowerCamelCase           =					[]
      for char_count in range(lowercase__		):
            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=' ')



__SCREAMING_SNAKE_CASE	:							Optional[Any]           =  '''
# Transformers installation
! pip install transformers datasets
# To install from source instead of the last release, comment the command above and uncomment the following one.
# ! pip install git+https://github.com/huggingface/transformers.git
'''

__SCREAMING_SNAKE_CASE	:							Optional[int]           =  [{'''type''': '''code''', '''content''': INSTALL_CONTENT}]
__SCREAMING_SNAKE_CASE	:							Optional[int]           =  {
    '''{processor_class}''': '''FakeProcessorClass''',
    '''{model_class}''': '''FakeModelClass''',
    '''{object_class}''': '''FakeObjectClass''',
}

