






'''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   (      _UpperCamelCase						,					unittest.TestCase					):
 snake_case_					=				XLMTokenizer
 snake_case_					=				False




 def   __magic_name__						(   self						:				List[str]   )						->    int:
       super().setUp()

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

       SCREAMING_SNAKE_CASE__  :					Optional[Any]						=os.path.join(self.tmpdirname       ,   VOCAB_FILES_NAMES['''vocab_file''']   )
       SCREAMING_SNAKE_CASE__  :					List[Any]						=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   __magic_name__						(   self						:				Tuple       ,   __lowercase						:				Any   )						->    Optional[Any]:
       SCREAMING_SNAKE_CASE__  :					Tuple						='lower newer'
       SCREAMING_SNAKE_CASE__  :					Optional[int]						='lower newer'
       return input_text, output_text




 def   __magic_name__						(   self						:				Optional[Any]   )						->    Any:
       SCREAMING_SNAKE_CASE__  :					str						=XLMTokenizer(self.vocab_file       ,   self.merges_file   )

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

       SCREAMING_SNAKE_CASE__  :					int						=tokens + ['<unk>']
       SCREAMING_SNAKE_CASE__  :					str						=[14, 15, 20]
       self.assertListEqual(tokenizer.convert_tokens_to_ids(_UpperCAmelCase   )       ,   _UpperCAmelCase   )




 @slow
 def   __magic_name__						(   self						:				List[Any]   )						->    Tuple:
       SCREAMING_SNAKE_CASE__  :					int						=XLMTokenizer.from_pretrained('''xlm-mlm-en-2048'''   )

       SCREAMING_SNAKE_CASE__  :					Tuple						=tokenizer.encode('''sequence builders'''       ,   add_special_tokens=_UpperCAmelCase   )
       SCREAMING_SNAKE_CASE__  :					Optional[int]						=tokenizer.encode('''multi-sequence build'''       ,   add_special_tokens=_UpperCAmelCase   )

       SCREAMING_SNAKE_CASE__  :					Optional[int]						=tokenizer.build_inputs_with_special_tokens(_UpperCAmelCase   )
       SCREAMING_SNAKE_CASE__  :					Any						=tokenizer.build_inputs_with_special_tokens(_UpperCAmelCase       ,   _UpperCAmelCase   )

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




'''simple docstring'''

import re

from filelock import FileLock


try:
							import nltk

							__lowerCAmelCase		     =  True
except (ImportError, ModuleNotFoundError):
							__lowerCAmelCase		     =  False

if NLTK_AVAILABLE:
							with FileLock('''.lock''') as lock:
														nltk.download('''punkt''', quiet=True)



def 	__lowerCamelCase	( lowerCAmelCase_    )     -> str:
		re.sub('<n>'		,     ''		,     lowerCAmelCase_    )  # remove pegasus newline char
		assert NLTK_AVAILABLE, "nltk must be installed to separate newlines between sentences. (pip install nltk)"
		return "\n".join(nltk.sent_tokenize(lowerCAmelCase_    )    )




