



"""simple docstring"""
import json
import os
import unittest

from transformers.models.biogpt.tokenization_biogpt import VOCAB_FILES_NAMES, BioGptTokenizer
from transformers.testing_utils import slow

from ...test_tokenization_common import TokenizerTesterMixin
class 				lowerCamelCase  (			_SCREAMING_SNAKE_CASE    ,						unittest.TestCase				):






					'''simple docstring'''





					_A		:			List[str]						=     BioGptTokenizer
					_A		:			int						=     False






					def    lowerCAmelCase_				(       self:							List[Any]						)   ->	List[str]:
											super().setUp()

											# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
											snake_case_ :Optional[Any]						=			[
											    """l""",
											    """o""",
											    """w""",
											    """e""",
											    """r""",
											    """s""",
											    """t""",
											    """i""",
											    """d""",
											    """n""",
											    """w</w>""",
											    """r</w>""",
											    """t</w>""",
											    """lo""",
											    """low""",
											    """er</w>""",
											    """low</w>""",
											    """lowest</w>""",
											    """newer</w>""",
											    """wider</w>""",
											    """<unk>""",
											]
											snake_case_ :int						=			dict(zip(snake_case						,     range(len(snake_case						)						)						)						)
											snake_case_ :int						=			["""l o 123""", """lo w 1456""", """e r</w> 1789""", """"""]

											snake_case_ :Optional[int]						=			os.path.join(self.tmpdirname						,     VOCAB_FILES_NAMES["""vocab_file"""]						)
											snake_case_ :Union[str, Any]						=			os.path.join(self.tmpdirname						,     VOCAB_FILES_NAMES["""merges_file"""]						)
											with open(self.vocab_file						,     """w"""						) as fp:
																	fp.write(json.dumps(snake_case						)						)
											with open(self.merges_file						,     """w"""						) as fp:
																	fp.write("""\n""".join(snake_case						)						)






					def    lowerCAmelCase_				(       self:							Union[str, Any]						,     snake_case:							Any						)   ->	List[str]:
											snake_case_ :Dict						=			"""lower newer"""
											snake_case_ :str						=			"""lower newer"""
											return input_text, output_text






					def    lowerCAmelCase_				(       self:							Optional[int]						)   ->	str:
											snake_case_ :Any						=			BioGptTokenizer(self.vocab_file						,     self.merges_file						)

											snake_case_ :int						=			"""lower"""
											snake_case_ :str						=			["""low""", """er</w>"""]
											snake_case_ :Any						=			tokenizer.tokenize(snake_case						)
											self.assertListEqual(snake_case						,     snake_case						)

											snake_case_ :Dict						=			tokens + ["""<unk>"""]
											snake_case_ :Optional[Any]						=			[14, 15, 20]
											self.assertListEqual(tokenizer.convert_tokens_to_ids(snake_case						)						,     snake_case						)






					@slow
					def    lowerCAmelCase_				(       self:							str						)   ->	Optional[Any]:
											snake_case_ :Dict						=			BioGptTokenizer.from_pretrained("""microsoft/biogpt"""						)

											snake_case_ :int						=			tokenizer.encode("""sequence builders"""						,     add_special_tokens=snake_case						)
											snake_case_ :Optional[Any]						=			tokenizer.encode("""multi-sequence build"""						,     add_special_tokens=snake_case						)

											snake_case_ :str						=			tokenizer.build_inputs_with_special_tokens(snake_case						)
											snake_case_ :Optional[int]						=			tokenizer.build_inputs_with_special_tokens(snake_case						,     snake_case						)

											self.assertTrue(encoded_sentence == [2] + text						)
											self.assertTrue(encoded_pair == [2] + text + [2] + text_a						)




'''simple docstring'''






def 				UpperCamelCase_			(    A__					:   int					):
  '''simple docstring'''





  lowerCAmelCase_			:      Union[str, Any]			=   (1 + 24 * n) ** 0.5
  return ((1 + root) / 6) % 1 == 0







def 				UpperCamelCase_			(    A__					:   int = 50_00					):
  '''simple docstring'''





  lowerCAmelCase_			:      Optional[int]			=   [(i * (3 * i - 1)) // 2 for i in range(1							,    A__					)]
  for i, pentagonal_i in enumerate(A__					):
    for j in range(A__							,    len(A__					)					):
      lowerCAmelCase_			:      int			=   pentagonal_nums[j]
      lowerCAmelCase_			:      Union[str, Any]			=   pentagonal_i + pentagonal_j
      lowerCAmelCase_			:      List[Any]			=   pentagonal_j - pentagonal_i
      if is_pentagonal(A__					) and is_pentagonal(A__					):
        return b

  return -1


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



