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 			__magic_name__	(		__a   ,						unittest.TestCase     ):





   """simple docstring"""




   lowerCAmelCase   :     List[str]	      = XLMTokenizer
   lowerCAmelCase   :     Optional[int]	      = False



   def 	lowerCAmelCase    (						self       :	str				):



    """simple docstring"""



    super().setUp()

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

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



   def 	lowerCAmelCase    (						self       :	Tuple		,	_lowercase       :	Optional[int]				):



    """simple docstring"""



    _UpperCamelCase:  int    						=			'''lower newer'''
    _UpperCamelCase:  Union[str, Any]    						=			'''lower newer'''
    return input_text, output_text



   def 	lowerCAmelCase    (						self       :	List[Any]				):



    """simple docstring"""



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

    _UpperCamelCase:  Any    						=			'''lower'''
    _UpperCamelCase:  int    						=			['''low''', '''er</w>''']
    _UpperCamelCase:  Any    						=			tokenizer.tokenize(_lowercase				)
    self.assertListEqual(_lowercase		,	_lowercase				)

    _UpperCamelCase:  List[Any]    						=			tokens + ['''<unk>''']
    _UpperCamelCase:  List[Any]    						=			[14, 15, 20]
    self.assertListEqual(tokenizer.convert_tokens_to_ids(_lowercase				)		,	_lowercase				)



   @slow
   def 	lowerCAmelCase    (						self       :	Union[str, Any]				):



    """simple docstring"""



    _UpperCamelCase:  Dict    						=			XLMTokenizer.from_pretrained('''xlm-mlm-en-2048'''				)

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

    _UpperCamelCase:  List[str]    						=			tokenizer.build_inputs_with_special_tokens(_lowercase				)
    _UpperCamelCase:  Optional[Any]    						=			tokenizer.build_inputs_with_special_tokens(_lowercase		,	_lowercase				)

    assert encoded_sentence == [0] + text + [1]
    assert encoded_pair == [0] + text + [1] + text_a + [1]
from pathlib import Path

import fire




def    lowerCAmelCase_  (		lowercase:				str	,       lowercase:				str	,       lowercase:				int		)     ->					int:







 '''simple docstring'''
 _UpperCamelCase:  Any    						=			Path(lowercase		)
 _UpperCamelCase:  int    						=			Path(lowercase		)
 dest_dir.mkdir(exist_ok=lowercase		)
 for path in src_dir.iterdir():
  _UpperCamelCase:  List[str]    						=			[x.rstrip() for x in list(path.open().readlines()		)][:n]
  _UpperCamelCase:  int    						=			dest_dir.joinpath(path.name		)
  print(lowercase		)
  dest_path.open('''w'''		).write('''\n'''.join(lowercase		)		)


if __name__ == "__main__":
  fire.Fire(minify)