






"""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 						snake_case  (  UpperCAmelCase       ,			unittest.TestCase	):
    __magic_name__   					=					XLMTokenizer
    __magic_name__   					=					False





    def     lowerCamelCase__				(							self     : int      ):


      '''simple docstring'''




      super().setUp()

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

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





    def     lowerCamelCase__				(							self     : Dict    ,		A     : Tuple      ):


      '''simple docstring'''




      a					:      Dict    =       'lower newer'
      a					:      Any    =       'lower newer'
      return input_text, output_text





    def     lowerCamelCase__				(							self     : Optional[int]      ):


      '''simple docstring'''




      a					:      Optional[int]    =       XLMTokenizer(self.vocab_file    ,		self.merges_file      )

      a					:      Union[str, Any]    =       'lower'
      a					:      Optional[Any]    =       ['low', 'er</w>']
      a					:      str    =       tokenizer.tokenize(A      )
      self.assertListEqual(A    ,		A      )

      a					:      Tuple    =       tokens + ['<unk>']
      a					:      Tuple    =       [1_4, 1_5, 2_0]
      self.assertListEqual(tokenizer.convert_tokens_to_ids(A      )    ,		A      )





    @slow
    def     lowerCamelCase__				(							self     : Optional[Any]      ):


      '''simple docstring'''




      a					:      Tuple    =       XLMTokenizer.from_pretrained('xlm-mlm-en-2048'      )

      a					:      Union[str, Any]    =       tokenizer.encode('sequence builders'    ,		add_special_tokens=A      )
      a					:      int    =       tokenizer.encode('multi-sequence build'    ,		add_special_tokens=A      )

      a					:      int    =       tokenizer.build_inputs_with_special_tokens(A      )
      a					:      str    =       tokenizer.build_inputs_with_special_tokens(A    ,		A      )

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












"""simple docstring"""


def       snake_case  (A_				:int				):







  '''simple docstring'''

  if isinstance(A_     ,      A_				):
    raise TypeError('\'float\' object cannot be interpreted as an integer'				)
  if isinstance(A_     ,      A_				):
    raise TypeError('\'str\' object cannot be interpreted as an integer'				)

  if num == 0:
    return "0b0"

  a					:      List[Any]    =       False

  if num < 0:
    a					:      Optional[int]    =       True
    a					:      Dict    =       -num

  a					:      list[int]    =       []
  while num > 0:
    binary.insert(0     ,      num % 2				)
    num >>= 1

  if negative:
    return "-0b" + "".join(str(A_				) for e in binary				)

  return "0b" + "".join(str(A_				) for e in binary				)


if __name__ == "__main__":
   import doctest

   doctest.testmod()




