



import argparse
from collections import defaultdict





def 		a__      (		_UpperCamelCase      :			Optional[int]			,_UpperCamelCase      :			List[Any]			,_UpperCamelCase      :			List[str]			,_UpperCamelCase      :			List[str]			,_UpperCamelCase      :			Tuple				):
   __lowerCamelCase    				=     F"""{file}_{class_name}_{test_name}"""
   done_test[_id] += 1

   with open(_UpperCamelCase			,'''r'''				) as f:
      __lowerCamelCase    				=     f.readlines()

   __lowerCamelCase    				=     F"""class {class_name}("""
   __lowerCamelCase    				=     F"""{4 * " "}def {test_name}("""
   __lowerCamelCase    				=     F"""{8 * " "}{correct_line.split()[0]}"""
   __lowerCamelCase    				=     F"""{16 * " "}{correct_line.split()[0]}"""
   __lowerCamelCase    				=     False
   __lowerCamelCase    				=     False
   __lowerCamelCase    				=     False
   __lowerCamelCase    				=     False
   __lowerCamelCase    				=     0
   __lowerCamelCase    				=     0

   __lowerCamelCase    				=     []
   for line in lines:
      if line.startswith(_UpperCamelCase				):
         __lowerCamelCase    				=     True
      elif in_class and line.startswith(_UpperCamelCase				):
         __lowerCamelCase    				=     True
      elif in_class and in_func and (line.startswith(_UpperCamelCase				) or line.startswith(_UpperCamelCase				)):
         __lowerCamelCase    				=     len(line.split(correct_line.split()[0]				)[0]				)
         count += 1

         if count == done_test[_id]:
            __lowerCamelCase    				=     True

      if in_class and in_func and in_line:
         if ")" not in line:
            continue
         else:
            __lowerCamelCase    				=     True

      if in_class and in_func and in_line and insert_line:
         new_lines.append(F"""{spaces * " "}{correct_line}"""				)
         __lowerCamelCase    				=     __lowerCamelCase    				=     __lowerCamelCase    				=     __lowerCamelCase    				=     False
      else:
         new_lines.append(_UpperCamelCase				)

   with open(_UpperCamelCase			,'''w'''				) as f:
      for line in new_lines:
         f.write(_UpperCamelCase				)





def 		a__      (		_UpperCamelCase      :			List[str]			,_UpperCamelCase      :			List[str]=None				):
   if fail is not None:
      with open(_UpperCamelCase			,'''r'''				) as f:
         __lowerCamelCase    				=     {l.strip() for l in f.readlines()}
   else:
      __lowerCamelCase    				=     None

   with open(_UpperCamelCase			,'''r'''				) as f:
      __lowerCamelCase    				=     f.readlines()

   __lowerCamelCase    				=     defaultdict(_UpperCamelCase				)
   for line in correct_lines:
      __lowerCamelCase				,__lowerCamelCase				,__lowerCamelCase				,__lowerCamelCase    				=     line.split(''';'''				)
      if test_failures is None or "::".join([file, class_name, test_name]				) in test_failures:
         overwrite_file(_UpperCamelCase			,_UpperCamelCase			,_UpperCamelCase			,_UpperCamelCase			,_UpperCamelCase				)


if __name__ == "__main__":
  a_								=       argparse.ArgumentParser()
  parser.add_argument("""--correct_filename""", help="""filename of tests with expected result""")
  parser.add_argument("""--fail_filename""", help="""filename of test failures""", type=str, default=None)
  a_								=       parser.parse_args()

  main(args.correct_filename, args.fail_filename)











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 			__lowerCAmelCase  (						lowerCAmelCase__	,						unittest.TestCase ):
 lowerCAmelCase__							       =	XLMTokenizer
 lowerCAmelCase__							       =	False




 def 							lowerCamelCase   (    self					):



    '''simple docstring'''
    super().setUp()

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

    __lowerCamelCase    				=     os.path.join(self.tmpdirname						,					VOCAB_FILES_NAMES['''vocab_file''']					)
    __lowerCamelCase    				=     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						,					__UpperCAmelCase					):



    '''simple docstring'''
    __lowerCamelCase    				=     '''lower newer'''
    __lowerCamelCase    				=     '''lower newer'''
    return input_text, output_text




 def 							lowerCamelCase   (    self					):



    '''simple docstring'''
    __lowerCamelCase    				=     XLMTokenizer(self.vocab_file						,					self.merges_file					)

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

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




 @slow
 def 							lowerCamelCase   (    self					):



    '''simple docstring'''
    __lowerCamelCase    				=     XLMTokenizer.from_pretrained('''xlm-mlm-en-2048'''					)

    __lowerCamelCase    				=     tokenizer.encode('''sequence builders'''						,					add_special_tokens=__UpperCAmelCase					)
    __lowerCamelCase    				=     tokenizer.encode('''multi-sequence build'''						,					add_special_tokens=__UpperCAmelCase					)

    __lowerCamelCase    				=     tokenizer.build_inputs_with_special_tokens(__UpperCAmelCase					)
    __lowerCamelCase    				=     tokenizer.build_inputs_with_special_tokens(__UpperCAmelCase						,					__UpperCAmelCase					)

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






