

'''simple docstring'''






import json
import os
import unittest

from transformers.models.ctrl.tokenization_ctrl import VOCAB_FILES_NAMES, CTRLTokenizer

from ...test_tokenization_common import TokenizerTesterMixin






class 			lowercase_	(_A				,       unittest.TestCase      ):




  """simple docstring"""




  SCREAMING_SNAKE_CASE    :  Optional[Any]							=			CTRLTokenizer
  SCREAMING_SNAKE_CASE    :  Optional[Any]							=			False
  SCREAMING_SNAKE_CASE    :  Optional[Any]							=			False






  def 					SCREAMING_SNAKE_CASE      (      self   :     Tuple			):
   super().setUp()

   # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
   __lowercase							  = ['''adapt''', '''re@@''', '''a@@''', '''apt''', '''c@@''', '''t''', '''<unk>''']
   __lowercase							  = dict(zip(lowercase__					,range(len(lowercase__			)			)			)			)
   __lowercase							  = ['''#version: 0.2''', '''a p''', '''ap t</w>''', '''r e''', '''a d''', '''ad apt</w>''', '''''']
   __lowercase							  = {'''unk_token''': '''<unk>'''}

   __lowercase							  = os.path.join(self.tmpdirname					,VOCAB_FILES_NAMES['''vocab_file''']			)
   __lowercase							  = os.path.join(self.tmpdirname					,VOCAB_FILES_NAMES['''merges_file''']			)
   with open(self.vocab_file					,'''w'''					,encoding='''utf-8'''			) as fp:
    fp.write(json.dumps(lowercase__			) + '''\n'''			)
   with open(self.merges_file					,'''w'''					,encoding='''utf-8'''			) as fp:
    fp.write('''\n'''.join(lowercase__			)			)






  def 					SCREAMING_SNAKE_CASE      (      self   :     int					,**lowercase__   :     Union[str, Any]			):
   kwargs.update(self.special_tokens_map			)
   return CTRLTokenizer.from_pretrained(self.tmpdirname					,**lowercase__			)






  def 					SCREAMING_SNAKE_CASE      (      self   :     Union[str, Any]					,lowercase__   :     Optional[Any]			):
   __lowercase							  = '''adapt react readapt apt'''
   __lowercase							  = '''adapt react readapt apt'''
   return input_text, output_text






  def 					SCREAMING_SNAKE_CASE      (      self   :     Dict			):
   __lowercase							  = CTRLTokenizer(self.vocab_file					,self.merges_file					,**self.special_tokens_map			)
   __lowercase							  = '''adapt react readapt apt'''
   __lowercase							  = '''adapt re@@ a@@ c@@ t re@@ adapt apt'''.split()
   __lowercase							  = tokenizer.tokenize(lowercase__			)
   self.assertListEqual(lowercase__					,lowercase__			)

   __lowercase							  = tokens + [tokenizer.unk_token]

   __lowercase							  = [0, 1, 2, 4, 5, 1, 0, 3, 6]
   self.assertListEqual(tokenizer.convert_tokens_to_ids(lowercase__			)					,lowercase__			)









"""simple docstring"""



def 						lowercase    (				__snake_case				: int = 1_0_0	):
		lowercase_ : str							       =   0
		lowercase_ : List[Any]							       =   0
		for i in range(1		,					n + 1	):
				sum_of_squares += i**2
				sum_of_ints += i
		return sum_of_ints**2 - sum_of_squares


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



