





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

from transformers.models.xlm.tokenization_xlm import VOCAB_FILES_NAMES, XLMTokenizer
from transformers.testing_utils import slow

from ...test_tokenization_common import TokenizerTesterMixin






class  _SCREAMING_SNAKE_CASE(       A   ,     unittest.TestCase  ):
       SCREAMING_SNAKE_CASE_       :				int     						=  XLMTokenizer
       SCREAMING_SNAKE_CASE_       :				Tuple     						=  False




       def    _UpperCamelCase					(						self							)      ->				Optional[Any]:





             """simple docstring"""






             super().setUp()

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

             __SCREAMING_SNAKE_CASE       :Union[str, Any]		    =  os.path.join(self.tmpdirname		,VOCAB_FILES_NAMES['''vocab_file''']							)
             __SCREAMING_SNAKE_CASE       :Tuple		    =  os.path.join(self.tmpdirname		,VOCAB_FILES_NAMES['''merges_file''']							)
             with open(self.vocab_file		,'''w'''							) as fp:
                   fp.write(json.dumps(SCREAMING_SNAKE_CASE__							)							)
             with open(self.merges_file		,'''w'''							) as fp:
                   fp.write('''\n'''.join(SCREAMING_SNAKE_CASE__							)							)




       def    _UpperCamelCase					(						self		,SCREAMING_SNAKE_CASE__							)      ->				Any:





             """simple docstring"""






             __SCREAMING_SNAKE_CASE       :Tuple		    =  '''lower newer'''
             __SCREAMING_SNAKE_CASE       :Union[str, Any]		    =  '''lower newer'''
             return input_text, output_text




       def    _UpperCamelCase					(						self							)      ->				List[str]:





             """simple docstring"""






             __SCREAMING_SNAKE_CASE       :Tuple		    =  XLMTokenizer(self.vocab_file		,self.merges_file							)

             __SCREAMING_SNAKE_CASE       :Union[str, Any]		    =  '''lower'''
             __SCREAMING_SNAKE_CASE       :Tuple		    =  ['''low''', '''er</w>''']
             __SCREAMING_SNAKE_CASE       :List[Any]		    =  tokenizer.tokenize(SCREAMING_SNAKE_CASE__							)
             self.assertListEqual(SCREAMING_SNAKE_CASE__		,SCREAMING_SNAKE_CASE__							)

             __SCREAMING_SNAKE_CASE       :Optional[Any]		    =  tokens + ['''<unk>''']
             __SCREAMING_SNAKE_CASE       :Optional[Any]		    =  [14, 15, 20]
             self.assertListEqual(tokenizer.convert_tokens_to_ids(SCREAMING_SNAKE_CASE__							)		,SCREAMING_SNAKE_CASE__							)




       @slow
       def    _UpperCamelCase					(						self							)      ->				List[Any]:





             """simple docstring"""






             __SCREAMING_SNAKE_CASE       :Optional[int]		    =  XLMTokenizer.from_pretrained('''xlm-mlm-en-2048'''							)

             __SCREAMING_SNAKE_CASE       :str		    =  tokenizer.encode('''sequence builders'''		,add_special_tokens=SCREAMING_SNAKE_CASE__							)
             __SCREAMING_SNAKE_CASE       :Tuple		    =  tokenizer.encode('''multi-sequence build'''		,add_special_tokens=SCREAMING_SNAKE_CASE__							)

             __SCREAMING_SNAKE_CASE       :Any		    =  tokenizer.build_inputs_with_special_tokens(SCREAMING_SNAKE_CASE__							)
             __SCREAMING_SNAKE_CASE       :Tuple		    =  tokenizer.build_inputs_with_special_tokens(SCREAMING_SNAKE_CASE__		,SCREAMING_SNAKE_CASE__							)

             assert encoded_sentence == [0] + text + [1]
             assert encoded_pair == [0] + text + [1] + text_a + [1]






"""simple docstring"""
def 					__lowerCamelCase       (							a_					:		str			,       a_					:		str							)      ->				str:
      __SCREAMING_SNAKE_CASE       :int		    =  len(a_							)
      __SCREAMING_SNAKE_CASE       :int		    =  len(a_							)
      __SCREAMING_SNAKE_CASE       :int		    =  (
          first_str_length if first_str_length > second_str_length else second_str_length
      )
      __SCREAMING_SNAKE_CASE       :list		    =  []
      for char_count in range(a_							):
            if char_count < first_str_length:
                  output_list.append(first_str[char_count]							)
            if char_count < second_str_length:
                  output_list.append(second_str[char_count]							)
      return "".join(a_							)


if __name__ == "__main__":
  print(alternative_string_arrange("AB", "XYZ"), end=" ")