'''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							(	lowerCamelCase     ,		unittest.TestCase					):




  '''simple docstring'''



  lowerCAmelCase__										=	BioGptTokenizer
  lowerCAmelCase__										=	False






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

        # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
        UpperCAmelCase_            =  [
            '''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>''',
        ]
        UpperCAmelCase_            =  dict(zip(UpperCAmelCase__  ,							range(len(UpperCAmelCase__  )  )  )  )
        UpperCAmelCase_            =  ['''l o 123''', '''lo w 1456''', '''e r</w> 1789''', '''''']

        UpperCAmelCase_            =  os.path.join(self.tmpdirname  ,							VOCAB_FILES_NAMES['''vocab_file''']  )
        UpperCAmelCase_            =  os.path.join(self.tmpdirname  ,							VOCAB_FILES_NAMES['''merges_file''']  )
        with open(self.vocab_file  ,							'''w'''  ) as fp:
              fp.write(json.dumps(UpperCAmelCase__  )  )
        with open(self.merges_file  ,							'''w'''  ) as fp:
              fp.write('''\n'''.join(UpperCAmelCase__  )  )






  def  lowerCAmelCase__ (      self			:       List[str]  ,							UpperCAmelCase__			:       Optional[Any]  )				->Tuple:
        UpperCAmelCase_            =  '''lower newer'''
        UpperCAmelCase_            =  '''lower newer'''
        return input_text, output_text






  def  lowerCAmelCase__ (      self			:       Tuple  )				->Tuple:
        UpperCAmelCase_            =  BioGptTokenizer(self.vocab_file  ,							self.merges_file  )

        UpperCAmelCase_            =  '''lower'''
        UpperCAmelCase_            =  ['''low''', '''er</w>''']
        UpperCAmelCase_            =  tokenizer.tokenize(UpperCAmelCase__  )
        self.assertListEqual(UpperCAmelCase__  ,							UpperCAmelCase__  )

        UpperCAmelCase_            =  tokens + ['''<unk>''']
        UpperCAmelCase_            =  [14, 15, 20]
        self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCAmelCase__  )  ,							UpperCAmelCase__  )






  @slow
  def  lowerCAmelCase__ (      self			:       Any  )				->Optional[Any]:
        UpperCAmelCase_            =  BioGptTokenizer.from_pretrained('''microsoft/biogpt'''  )

        UpperCAmelCase_            =  tokenizer.encode('''sequence builders'''  ,							add_special_tokens=UpperCAmelCase__  )
        UpperCAmelCase_            =  tokenizer.encode('''multi-sequence build'''  ,							add_special_tokens=UpperCAmelCase__  )

        UpperCAmelCase_            =  tokenizer.build_inputs_with_special_tokens(UpperCAmelCase__  )
        UpperCAmelCase_            =  tokenizer.build_inputs_with_special_tokens(UpperCAmelCase__  ,							UpperCAmelCase__  )

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






'''simple docstring'''
import re



def  __lowerCamelCase       (      _UpperCamelCase  :  str					):


      '''simple docstring'''


      return [char.split() for char in re.split(R'''[^ a-z A-Z 0-9 \s]'''							,    str_					)]



def  __lowerCamelCase       (      _UpperCamelCase  :  str					):


      '''simple docstring'''


      UpperCAmelCase_            =  split_input(str_					)
      return "".join(
          [''''''.join([char.capitalize() for char in sub_str]					) for sub_str in string_split]					)



def  __lowerCamelCase       (      _UpperCamelCase  :  str							,    _UpperCamelCase  :  bool							,    _UpperCamelCase  :  str					):


      '''simple docstring'''


      try:
            UpperCAmelCase_            =  split_input(_UpperCamelCase					)
            if upper:
                  UpperCAmelCase_            =  ''''''.join(
                      [
                          separator.join([char.upper() for char in sub_str]					)
                          for sub_str in string_split
                      ]					)
            else:
                  UpperCAmelCase_            =  ''''''.join(
                      [
                          separator.join([char.lower() for char in sub_str]					)
                          for sub_str in string_split
                      ]					)
            return res_str
      except IndexError:
            return "not valid string"



def  __lowerCamelCase       (      _UpperCamelCase  :  str					):


      '''simple docstring'''


      return to_simple_case(_UpperCamelCase					)



def  __lowerCamelCase       (      _UpperCamelCase  :  str					):


      '''simple docstring'''


      try:
            UpperCAmelCase_            =  to_simple_case(_UpperCamelCase					)
            return res_str[0].lower() + res_str[1:]
      except IndexError:
            return "not valid string"



def  __lowerCamelCase       (      _UpperCamelCase  :  str							,    _UpperCamelCase  :  bool					):


      '''simple docstring'''


      return to_complex_case(_UpperCamelCase							,    _UpperCamelCase							,    '''_'''					)



def  __lowerCamelCase       (      _UpperCamelCase  :  str							,    _UpperCamelCase  :  bool					):


      '''simple docstring'''


      return to_complex_case(_UpperCamelCase							,    _UpperCamelCase							,    '''-'''					)


if __name__ == "__main__":
      __import__("doctest").testmod()





