






'''simple docstring'''




import json
import os
from typing import Dict, List, Optional, Tuple

import regex as re

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


lowerCamelCase_												=					logging.get_logger(__name__)


lowerCamelCase_												=					{
    '''vocab_file''': '''vocab.json''',
    '''merges_file''': '''merges.txt''',
    '''tokenizer_config_file''': '''tokenizer_config.json''',
}

lowerCamelCase_												=					{
    '''vocab_file''': {
        '''facebook/blenderbot_small-90M''': '''https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/vocab.json'''
    },
    '''merges_file''': {
        '''facebook/blenderbot_small-90M''': '''https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/merges.txt'''
    },
    '''tokenizer_config_file''': {
        '''facebook/blenderbot_small-90M''': (
            '''https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/tokenizer_config.json'''
        )
    },
}

lowerCamelCase_												=					{'''facebook/blenderbot_small-90M''': 5_12}

def 					__lowercase						(			__lowercase       )       ->						List[str]:

      '''simple docstring'''


      _A			     =	set()
      _A			     =	word[0]
      for char in word[1:]:
            pairs.add((prev_char, char)       )
            _A			     =	char

      _A			     =	set(__lowercase       )
      return pairs


class    _UpperCAmelCase			(     snake_case_						):




   """simple docstring"""

   snake_case    				=						VOCAB_FILES_NAMES
   snake_case    				=						PRETRAINED_VOCAB_FILES_MAP
   snake_case    				=						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   snake_case    				=						['''input_ids''', '''attention_mask''']

   def __init__(		self :	List[Any]      ,      __UpperCAmelCase :	Optional[int]      ,      __UpperCAmelCase :	int      ,      __UpperCAmelCase :	str="__start__"      ,      __UpperCAmelCase :	Dict="__end__"      ,      __UpperCAmelCase :	str="__unk__"      ,      __UpperCAmelCase :	List[str]="__null__"      ,      **__UpperCAmelCase :	List[str]      ,      ):





         '''simple docstring'''





         super().__init__(unk_token=__UpperCAmelCase      ,      bos_token=__UpperCAmelCase      ,      eos_token=__UpperCAmelCase      ,      pad_token=__UpperCAmelCase      ,      **__UpperCAmelCase		)

         with open(__UpperCAmelCase      ,      encoding="utf-8"		) as vocab_handle:
               _A			     =	json.load(__UpperCAmelCase		)
         _A			     =	{v: k for k, v in self.encoder.items()}
         with open(__UpperCAmelCase      ,      encoding="utf-8"		) as merges_handle:
               _A			     =	merges_handle.read().split("\n"		)[1:-1]
         _A			     =	[tuple(merge.split()		) for merge in merges]
         _A			     =	dict(zip(__UpperCAmelCase      ,      range(len(__UpperCAmelCase		)		)		)		)
         _A			     =	{}

   @property
   def 						lowerCAmelCase (		self :	Any		):





         '''simple docstring'''





         return len(self.encoder		)

   def 						lowerCAmelCase (		self :	str		):





         '''simple docstring'''





         return dict(self.encoder      ,      **self.added_tokens_encoder		)

   def 						lowerCAmelCase (		self :	List[Any]      ,      __UpperCAmelCase :	str		):





         '''simple docstring'''





         if token in self.cache:
               return self.cache[token]
         _A			     =	re.sub("([.,!?()])"      ,      R" \1"      ,      __UpperCAmelCase		)
         _A			     =	re.sub("(')"      ,      R" \1 "      ,      __UpperCAmelCase		)
         _A			     =	re.sub(R"\s{2,}"      ,      " "      ,      __UpperCAmelCase		)
         if "\n" in token:
               _A			     =	token.replace("\n"      ,      " __newln__"		)

         _A			     =	token.split(" "		)
         _A			     =	[]
         for token in tokens:
               if not len(__UpperCAmelCase		):
                     continue

               _A			     =	token.lower()
               _A			     =	tuple(__UpperCAmelCase		)
               _A			     =	tuple(list(word[:-1]		) + [word[-1] + "</w>"]		)
               _A			     =	get_pairs(__UpperCAmelCase		)

               if not pairs:
                     words.append(__UpperCAmelCase		)
                     continue

               while True:
                     _A			     =	min(__UpperCAmelCase      ,      key=lambda __UpperCAmelCase		: self.bpe_ranks.get(__UpperCAmelCase      ,      float("inf"		)		)		)
                     if bigram not in self.bpe_ranks:
                           break
                     _A     ,	_A			     =	bigram
                     _A			     =	[]
                     _A			     =	0

                     while i < len(__UpperCAmelCase		):
                           try:
                                 _A			     =	word.index(__UpperCAmelCase      ,      __UpperCAmelCase		)
                                 new_word.extend(word[i:j]		)
                                 _A			     =	j
                           except ValueError:
                                 new_word.extend(word[i:]		)
                                 break

                           if word[i] == first and i < len(__UpperCAmelCase		) - 1 and word[i + 1] == second:
                                 new_word.append(first + second		)
                                 i += 2
                           else:
                                 new_word.append(word[i]		)
                                 i += 1
                     _A			     =	tuple(__UpperCAmelCase		)
                     _A			     =	new_word
                     if len(__UpperCAmelCase		) == 1:
                           break
                     else:
                           _A			     =	get_pairs(__UpperCAmelCase		)
               _A			     =	"@@ ".join(__UpperCAmelCase		)
               _A			     =	word[:-4]

               _A			     =	word
               words.append(__UpperCAmelCase		)
         return " ".join(__UpperCAmelCase		)

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





         '''simple docstring'''





         _A			     =	[]

         _A			     =	re.findall(R"\S+\n?"      ,      __UpperCAmelCase		)

         for token in words:
               split_tokens.extend(list(self.bpe(__UpperCAmelCase		).split(" "		)		)		)
         return split_tokens

   def 						lowerCAmelCase (		self :	Any      ,      __UpperCAmelCase :	str		):





         '''simple docstring'''





         _A			     =	token.lower()
         return self.encoder.get(__UpperCAmelCase      ,      self.encoder.get(self.unk_token		)		)

   def 						lowerCAmelCase (		self :	Optional[int]      ,      __UpperCAmelCase :	int		):





         '''simple docstring'''





         return self.decoder.get(__UpperCAmelCase      ,      self.unk_token		)

   def 						lowerCAmelCase (		self :	Tuple      ,      __UpperCAmelCase :	List[str]		):





         '''simple docstring'''





         _A			     =	" ".join(__UpperCAmelCase		).replace("@@ "      ,      ""		).strip()
         return out_string

   def 						lowerCAmelCase (		self :	Optional[Any]      ,      __UpperCAmelCase :	str      ,      __UpperCAmelCase :	Optional[str] = None		):





         '''simple docstring'''





         if not os.path.isdir(__UpperCAmelCase		):
               logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''		)
               return
         _A			     =	os.path.join(
             __UpperCAmelCase      ,      (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]		)
         _A			     =	os.path.join(
             __UpperCAmelCase      ,      (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["merges_file"]		)

         with open(__UpperCAmelCase      ,      "w"      ,      encoding="utf-8"		) as f:
               f.write(json.dumps(self.encoder      ,      indent=2      ,      sort_keys=__UpperCAmelCase      ,      ensure_ascii=__UpperCAmelCase		) + "\n"		)

         _A			     =	0
         with open(__UpperCAmelCase      ,      "w"      ,      encoding="utf-8"		) as writer:
               writer.write("#version: 0.2\n"		)
               for bpe_tokens, token_index in sorted(self.bpe_ranks.items()      ,      key=lambda __UpperCAmelCase		: kv[1]		):
                     if index != token_index:
                           logger.warning(
                               f'''Saving vocabulary to {merge_file}: BPE merge indices are not consecutive.'''
                               " Please check that the tokenizer is not corrupted!"		)
                           _A			     =	token_index
                     writer.write(" ".join(__UpperCAmelCase		) + "\n"		)
                     index += 1

         return vocab_file, merge_file






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 		_lowercase						(					snake_case_						,      unittest.TestCase       ):
 lowercase				     =   XLMTokenizer
 lowercase				     =   False

 def 						SCREAMING_SNAKE_CASE__   ( self	:							Any			)   ->						List[Any]:

  """simple docstring"""





  super().setUp()

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

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

 def 						SCREAMING_SNAKE_CASE__   ( self	:							List[Any]   ,      snake_case	:							Union[str, Any]			)   ->						int:

  """simple docstring"""





  UpperCamelCase_					:						Tuple =					'lower newer'
  UpperCamelCase_					:						Optional[int] =					'lower newer'
  return input_text, output_text

 def 						SCREAMING_SNAKE_CASE__   ( self	:							Union[str, Any]			)   ->						Tuple:

  """simple docstring"""





  UpperCamelCase_					:						int =					XLMTokenizer(self.vocab_file   ,      self.merges_file			)

  UpperCamelCase_					:						List[str] =					'lower'
  UpperCamelCase_					:						Optional[int] =					['low', 'er</w>']
  UpperCamelCase_					:						Optional[Any] =					tokenizer.tokenize(snake_case			)
  self.assertListEqual(snake_case   ,      snake_case			)

  UpperCamelCase_					:						List[Any] =					tokens + ['<unk>']
  UpperCamelCase_					:						int =					[1_4, 1_5, 2_0]
  self.assertListEqual(tokenizer.convert_tokens_to_ids(snake_case			)   ,      snake_case			)


 @slow
 def 						SCREAMING_SNAKE_CASE__   ( self	:							List[Any]			)   ->						Optional[int]:

  """simple docstring"""





  UpperCamelCase_					:						int =					XLMTokenizer.from_pretrained('xlm-mlm-en-2048'			)

  UpperCamelCase_					:						int =					tokenizer.encode('sequence builders'   ,      add_special_tokens=snake_case			)
  UpperCamelCase_					:						Optional[int] =					tokenizer.encode('multi-sequence build'   ,      add_special_tokens=snake_case			)

  UpperCamelCase_					:						Tuple =					tokenizer.build_inputs_with_special_tokens(snake_case			)
  UpperCamelCase_					:						Any =					tokenizer.build_inputs_with_special_tokens(snake_case   ,      snake_case			)

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



