'''simple docstring'''




import os
import unittest

from transformers import LayoutLMTokenizer, LayoutLMTokenizerFast
from transformers.models.layoutlm.tokenization_layoutlm import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin






@require_tokenizers
class 		__A       (__magic_name__ ,					unittest.TestCase   ):
       snake_case       :Dict				    =					LayoutLMTokenizer
       snake_case       :Union[str, Any]				    =					LayoutLMTokenizerFast
       snake_case       :Any				    =					True
       snake_case       :int				    =					True






       def 			_snake_case						(      self      ):
              super().setUp()

              __UpperCAmelCase  :				List[str]       				=		[
                  "[UNK]",
                  "[CLS]",
                  "[SEP]",
                  "want",
                  "##want",
                  "##ed",
                  "wa",
                  "un",
                  "runn",
                  "##ing",
                  ",",
                  "low",
                  "lowest",
              ]
              __UpperCAmelCase  :				Tuple       				=		os.path.join(self.tmpdirname				,     VOCAB_FILES_NAMES["vocab_file"]      )
              with open(self.vocab_file				,     "w"				,     encoding="utf-8"      ) as vocab_writer:
                     vocab_writer.write("".join([x + "\n" for x in vocab_tokens]      )      )






       def 			_snake_case						(      self				,     **UpperCamelCase_      ):
              return LayoutLMTokenizer.from_pretrained(self.tmpdirname				,     **UpperCamelCase_      )






       def 			_snake_case						(      self				,     UpperCamelCase_      ):
              __UpperCAmelCase  :				Dict       				=		"UNwant\u00E9d,running"
              __UpperCAmelCase  :				Optional[int]       				=		"unwanted, running"
              return input_text, output_text






       def 			_snake_case						(      self      ):
              __UpperCAmelCase  :				Optional[Any]       				=		self.tokenizer_class(self.vocab_file      )

              __UpperCAmelCase  :				Tuple       				=		tokenizer.tokenize("UNwant\u00E9d,running"      )
              self.assertListEqual(UpperCamelCase_				,     ["un", "##want", "##ed", ",", "runn", "##ing"]      )
              self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCamelCase_      )				,     [7, 4, 5, 10, 8, 9]      )







       def 			_snake_case						(      self      ):
              pass







'''simple docstring'''




def _lowercase	(      lowerCamelCase__ = 100						)					->       int:





       """simple docstring"""


       __UpperCAmelCase  :				Optional[Any]       				=		(n * (n + 1) // 2) ** 2
       __UpperCAmelCase  :				Any       				=		n * (n + 1) * (2 * n + 1) // 6
       return sum_cubes - sum_squares


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






