


import unittest

from transformers import DonutProcessor


UpperCAmelCase_   :				str						      = 'naver-clova-ix/donut-base'
class 				SCREAMING_SNAKE_CASE__						(       unittest.TestCase    ):
      def  SCREAMING_SNAKE_CASE							( self       : Union[str, Any]  )	->    Any:
             a_      :	Optional[int]							=						DonutProcessor.from_pretrained(SCREAMING_SNAKE_CASE__  )

      def  SCREAMING_SNAKE_CASE							( self       : int  )	->    Dict:
             a_      :	Optional[int]							=						{
                 'name': 'John Doe',
                 'age': '99',
                 'city': 'Atlanta',
                 'state': 'GA',
                 'zip': '30301',
                 'phone': '123-4567',
                 'nicknames': [{'nickname': 'Johnny'}, {'nickname': 'JD'}],
             }

             a_      :	Union[str, Any]							=						(
                 '<s_name>John Doe</s_name><s_age>99</s_age><s_city>Atlanta</s_city>'
                 '<s_state>GA</s_state><s_zip>30301</s_zip><s_phone>123-4567</s_phone>'
                 '<s_nicknames><s_nickname>Johnny</s_nickname>'
                 '<sep/><s_nickname>JD</s_nickname></s_nicknames>'
             )
             a_      :	Dict							=						self.processor.tokenajson(SCREAMING_SNAKE_CASE__  )

             self.assertDictEqual(SCREAMING_SNAKE_CASE__  ,							SCREAMING_SNAKE_CASE__  )






def  SCREAMING_SNAKE_CASE_		(    __A				:    int						,					__A				:    int						,					__A				:    int       )			->	float:

       """simple docstring"""

       a_      :	Optional[int]							=						(num_of_terms / 2) * (2 * first_term + (num_of_terms - 1) * common_diff)
       # formula for sum of series
       return total







def  SCREAMING_SNAKE_CASE_		(    )			->	Optional[Any]:

       """simple docstring"""

       print(sum_of_series(1						,					1						,					10       )       )


if __name__ == "__main__":
   import doctest

   doctest.testmod()


