





'''simple docstring'''

import os
import unittest

from transformers import MPNetTokenizerFast
from transformers.models.mpnet.tokenization_mpnet import VOCAB_FILES_NAMES, MPNetTokenizer
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin


@require_tokenizers
class 			SCREAMING_SNAKE_CASE__	(					lowerCamelCase__				,unittest.TestCase						):







					"""simple docstring"""






					SCREAMING_SNAKE_CASE				=     MPNetTokenizer
					SCREAMING_SNAKE_CASE				=     MPNetTokenizerFast
					SCREAMING_SNAKE_CASE				=     True
					SCREAMING_SNAKE_CASE				=     True
					def 						lowerCamelCase_					(					self    :	Optional[int]						):







							"""simple docstring"""
							super().setUp()

							__UpperCAmelCase     :				List[str]					   =			[
							    "[UNK]",
							    "[CLS]",
							    "[SEP]",
							    "[PAD]",
							    "[MASK]",
							    "want",
							    "##want",
							    "##ed",
							    "wa",
							    "un",
							    "runn",
							    "##ing",
							    ",",
							    "low",
							    "lowest",
							]
							__UpperCAmelCase     :				Optional[Any]					   =			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 						lowerCamelCase_					(					self    :	Union[str, Any]						,     UpperCAmelCase_    :	Union[str, Any]						):







							"""simple docstring"""
							__UpperCAmelCase     :				int					   =			"UNwant\u00E9d,running"
							__UpperCAmelCase     :				Tuple					   =			"unwanted, running"
							return input_text, output_text
					def 						lowerCamelCase_					(					self    :	Any						):







							"""simple docstring"""
							__UpperCAmelCase     :				Union[str, Any]					   =			self.tokenizer_class(self.vocab_file						)

							__UpperCAmelCase     :				str					   =			tokenizer.tokenize("UNwant\u00E9d,running"						)
							self.assertListEqual(_UpperCAmelCase						,     ["un", "##want", "##ed", ",", "runn", "##ing"]						)
							self.assertListEqual(tokenizer.convert_tokens_to_ids(_UpperCAmelCase						)						,     [9, 6, 7, 12, 10, 11]						)






					@slow
					def 						lowerCamelCase_					(					self    :	Union[str, Any]						):







							"""simple docstring"""
							__UpperCAmelCase     :				Union[str, Any]					   =			self.tokenizer_class.from_pretrained("microsoft/mpnet-base"						)

							__UpperCAmelCase     :				Dict					   =			tokenizer.encode("sequence builders"						,     add_special_tokens=_UpperCAmelCase						)
							__UpperCAmelCase     :				List[Any]					   =			tokenizer.encode("multi-sequence build"						,     add_special_tokens=_UpperCAmelCase						)

							__UpperCAmelCase     :				str					   =			tokenizer.build_inputs_with_special_tokens(_UpperCAmelCase						)
							__UpperCAmelCase     :				Dict					   =			tokenizer.build_inputs_with_special_tokens(_UpperCAmelCase						,     _UpperCAmelCase						)

							assert encoded_sentence == [0] + text + [2]
							assert encoded_pair == [0] + text + [2] + [2] + text_a + [2]








def        __lowerCAmelCase    (SCREAMING_SNAKE_CASE = 1000					)->  int:




      """simple docstring"""

      snake_case_       =      0
      snake_case_       =      (n - 1) // 3
      total += ((terms) * (6 + (terms - 1) * 3)) // 2  # total of an A.P.
      snake_case_       =      (n - 1) // 5
      total += ((terms) * (10 + (terms - 1) * 5)) // 2
      snake_case_       =      (n - 1) // 15
      total -= ((terms) * (30 + (terms - 1) * 15)) // 2
      return total


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