'''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


__a:			Union[str, Any]	       =       logging.get_logger(__name__)


__a:			Optional[Any]	       =       {
    """vocab_file""": """vocab.json""",
    """merges_file""": """merges.txt""",
    """tokenizer_config_file""": """tokenizer_config.json""",
}

__a:			Dict	       =       {
    """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"""
        )
    },
}

__a:			Union[str, Any]	       =       {"""facebook/blenderbot_small-90M""": 5_12}
def       __UpperCamelCase	(       UpperCAmelCase					):
 lowercase__    :   str						= set()
 lowercase__    :   Optional[Any]						= word[0]
 for char in word[1:]:
  pairs.add((prev_char, char)					)
  lowercase__    :   List[str]						= char

 lowercase__    :   Dict						= set(UpperCAmelCase					)
 return pairs





class       UpperCAmelCase  (						a__ ):





       '''simple docstring'''



       SCREAMING_SNAKE_CASE 		=   VOCAB_FILES_NAMES
       SCREAMING_SNAKE_CASE 		=   PRETRAINED_VOCAB_FILES_MAP
       SCREAMING_SNAKE_CASE 		=   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       SCREAMING_SNAKE_CASE 		=   ["input_ids", "attention_mask"]

       def __init__(						self     ,       __lowerCAmelCase     ,       __lowerCAmelCase     ,       __lowerCAmelCase="__start__"     ,       __lowerCAmelCase="__end__"     ,       __lowerCAmelCase="__unk__"     ,       __lowerCAmelCase="__null__"     ,       **__lowerCAmelCase     ,       )  ->  int:
        super().__init__(unk_token=__lowerCAmelCase     ,       bos_token=__lowerCAmelCase     ,       eos_token=__lowerCAmelCase     ,       pad_token=__lowerCAmelCase     ,       **__lowerCAmelCase			)

        with open(__lowerCAmelCase     ,       encoding='''utf-8'''			) as vocab_handle:
         lowercase__    :   Tuple						= json.load(__lowerCAmelCase			)
        lowercase__    :   Dict						= {v: k for k, v in self.encoder.items()}
        with open(__lowerCAmelCase     ,       encoding='''utf-8'''			) as merges_handle:
         lowercase__    :   Union[str, Any]						= merges_handle.read().split('''\n'''			)[1:-1]
        lowercase__    :   int						= [tuple(merge.split()			) for merge in merges]
        lowercase__    :   List[str]						= dict(zip(__lowerCAmelCase     ,       range(len(__lowerCAmelCase			)			)			)			)
        lowercase__    :   List[Any]						= {}

       @property
       def _lowerCAmelCase(						self			)  ->  int:
        return len(self.encoder			)

       def _lowerCAmelCase(						self			)  ->  Dict:
        return dict(self.encoder     ,       **self.added_tokens_encoder			)

       def _lowerCAmelCase(						self     ,       __lowerCAmelCase			)  ->  str:
        if token in self.cache:
         return self.cache[token]
        lowercase__    :   Dict						= re.sub('''([.,!?()])'''     ,       r''' \1'''     ,       __lowerCAmelCase			)
        lowercase__    :   int						= re.sub('''(\')'''     ,       r''' \1 '''     ,       __lowerCAmelCase			)
        lowercase__    :   Tuple						= re.sub(r'''\s{2,}'''     ,       ''' '''     ,       __lowerCAmelCase			)
        if "\n" in token:
         lowercase__    :   Union[str, Any]						= token.replace('''\n'''     ,       ''' __newln__'''			)

        lowercase__    :   Tuple						= token.split(''' '''			)
        lowercase__    :   Tuple						= []
        for token in tokens:
         if not len(__lowerCAmelCase			):
          continue

         lowercase__    :   Optional[int]						= token.lower()
         lowercase__    :   List[str]						= tuple(__lowerCAmelCase			)
         lowercase__    :   str						= tuple(list(word[:-1]			) + [word[-1] + '''</w>''']			)
         lowercase__    :   Tuple						= get_pairs(__lowerCAmelCase			)

         if not pairs:
          words.append(__lowerCAmelCase			)
          continue

         while True:
          lowercase__    :   Optional[Any]						= min(__lowerCAmelCase     ,       key=lambda __lowerCAmelCase			: self.bpe_ranks.get(__lowerCAmelCase     ,       float('''inf'''			)			)			)
          if bigram not in self.bpe_ranks:
           break
          lowercase__			,							lowercase__    :   List[str]						= bigram
          lowercase__    :   Dict						= []
          lowercase__    :   Dict						= 0

          while i < len(__lowerCAmelCase			):
           try:
            lowercase__    :   Dict						= word.index(__lowerCAmelCase     ,       __lowerCAmelCase			)
            new_word.extend(word[i:j]			)
            lowercase__    :   List[Any]						= j
           except ValueError:
            new_word.extend(word[i:]			)
            break

           if word[i] == first and i < len(__lowerCAmelCase			) - 1 and word[i + 1] == second:
            new_word.append(first + second			)
            i += 2
           else:
            new_word.append(word[i]			)
            i += 1
          lowercase__    :   Optional[Any]						= tuple(__lowerCAmelCase			)
          lowercase__    :   Optional[int]						= new_word
          if len(__lowerCAmelCase			) == 1:
           break
          else:
           lowercase__    :   Optional[Any]						= get_pairs(__lowerCAmelCase			)
         lowercase__    :   Optional[int]						= '''@@ '''.join(__lowerCAmelCase			)
         lowercase__    :   List[str]						= word[:-4]

         lowercase__    :   str						= word
         words.append(__lowerCAmelCase			)
        return " ".join(__lowerCAmelCase			)

       def _lowerCAmelCase(						self     ,       __lowerCAmelCase			)  ->  List[str]:
        lowercase__    :   Dict						= []

        lowercase__    :   Union[str, Any]						= re.findall(r'''\S+\n?'''     ,       __lowerCAmelCase			)

        for token in words:
         split_tokens.extend(list(self.bpe(__lowerCAmelCase			).split(''' '''			)			)			)
        return split_tokens

       def _lowerCAmelCase(						self     ,       __lowerCAmelCase			)  ->  int:
        lowercase__    :   str						= token.lower()
        return self.encoder.get(__lowerCAmelCase     ,       self.encoder.get(self.unk_token			)			)

       def _lowerCAmelCase(						self     ,       __lowerCAmelCase			)  ->  str:
        return self.decoder.get(__lowerCAmelCase     ,       self.unk_token			)

       def _lowerCAmelCase(						self     ,       __lowerCAmelCase			)  ->  str:
        lowercase__    :   List[str]						= ''' '''.join(__lowerCAmelCase			).replace('''@@ '''     ,       ''''''			).strip()
        return out_string


       def _lowerCAmelCase(						self     ,       __lowerCAmelCase     ,       __lowerCAmelCase = None			)  ->  Tuple[str]:
        if not os.path.isdir(__lowerCAmelCase			):
         logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""			)
         return
        lowercase__    :   Any						= os.path.join(
            __lowerCAmelCase     ,       (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']			)
        lowercase__    :   Union[str, Any]						= os.path.join(
            __lowerCAmelCase     ,       (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''merges_file''']			)

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

        lowercase__    :   Union[str, Any]						= 0
        with open(__lowerCAmelCase     ,       '''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 __lowerCAmelCase			: 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!'''			)
           lowercase__    :   Union[str, Any]						= token_index
          writer.write(''' '''.join(__lowerCAmelCase			) + '''\n'''			)
          index += 1

        return vocab_file, merge_file


'''simple docstring'''

import re

from filelock import FileLock


try:
  import nltk

  __a:			Tuple	       =       True
except (ImportError, ModuleNotFoundError):
  __a:			List[Any]	       =       False

if NLTK_AVAILABLE:
  with FileLock(""".lock""") as lock:
    nltk.download("""punkt""", quiet=True)
def       __UpperCamelCase	(       UpperCAmelCase					):
 re.sub('''<n>'''		,					''''''		,					UpperCAmelCase					)  # 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(UpperCAmelCase					)					)

