






"""simple docstring"""






import json
import os
from functools import lru_cache
from typing import TYPE_CHECKING, List, Optional, Tuple

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


if TYPE_CHECKING:
  from transformers.pipelines.conversational import Conversation

UpperCAmelCase_   : Any   			= logging.get_logger(__name__)


UpperCAmelCase_   : str   			= {
    """vocab_file""": """vocab.json""",
    """merges_file""": """merges.txt""",
    """tokenizer_config_file""": """tokenizer_config.json""",
}

UpperCAmelCase_   : Any   			= {
    """vocab_file""": {"""facebook/blenderbot-3B""": """https://huggingface.co/facebook/blenderbot-3B/resolve/main/vocab.json"""},
    """merges_file""": {"""facebook/blenderbot-3B""": """https://huggingface.co/facebook/blenderbot-3B/resolve/main/merges.txt"""},
    """tokenizer_config_file""": {
        """facebook/blenderbot-3B""": """https://huggingface.co/facebook/blenderbot-3B/resolve/main/tokenizer_config.json"""
    },
}

UpperCAmelCase_   : List[str]   			= {"""facebook/blenderbot-3B""": 128}



@lru_cache()
# Copied from transformers.models.roberta.tokenization_roberta.bytes_to_unicode
def 					_A			() ->       Optional[int]:
    """simple docstring"""






    SCREAMING_SNAKE_CASE_      :  List[Any]    						=		(
        list(range(ord('''!'''							)    ,				ord('''~'''							) + 1							)							) + list(range(ord('''¡'''							)    ,				ord('''¬'''							) + 1							)							) + list(range(ord('''®'''							)    ,				ord('''ÿ'''							) + 1							)							)
    )
    SCREAMING_SNAKE_CASE_      :  List[str]    						=		bs[:]
    SCREAMING_SNAKE_CASE_      :  List[str]    						=		0
    for b in range(2**8							):
        if b not in bs:
            bs.append(__SCREAMING_SNAKE_CASE							)
            cs.append(2**8 + n							)
            n += 1
    SCREAMING_SNAKE_CASE_      :  Any    						=		[chr(__SCREAMING_SNAKE_CASE							) for n in cs]
    return dict(zip(__SCREAMING_SNAKE_CASE    ,				__SCREAMING_SNAKE_CASE							)							)



def 					_A			(__a							) ->       Any:
    """simple docstring"""






    SCREAMING_SNAKE_CASE_      :  Dict    						=		set()
    SCREAMING_SNAKE_CASE_      :  List[Any]    						=		word[0]
    for char in word[1:]:
        pairs.add((prev_char, char)							)
        SCREAMING_SNAKE_CASE_      :  List[str]    						=		char
    return pairs





class 							lowerCAmelCase__				(			__snake_case ):






      '''simple docstring'''

      __UpperCamelCase	 =  VOCAB_FILES_NAMES
      __UpperCamelCase	 =  PRETRAINED_VOCAB_FILES_MAP
      __UpperCamelCase	 =  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      __UpperCamelCase	 =  ["""input_ids""", """attention_mask"""]
      def __init__(						self     :  Dict						,	lowercase_     :  Union[str, Any]						,	lowercase_     :  Union[str, Any]						,	lowercase_     :  Optional[int]="replace"						,	lowercase_     :  List[Any]="<s>"						,	lowercase_     :  List[str]="</s>"						,	lowercase_     :  Union[str, Any]="</s>"						,	lowercase_     :  Optional[int]="<s>"						,	lowercase_     :  Optional[int]="<unk>"						,	lowercase_     :  Dict="<pad>"						,	lowercase_     :  Optional[Any]="<mask>"						,	lowercase_     :  Union[str, Any]=False						,	**lowercase_     :  Optional[Any]						,	):




          '''simple docstring'''


          SCREAMING_SNAKE_CASE_      :  Union[str, Any]    						=		AddedToken(UpperCamelCase__						,	lstrip=UpperCamelCase__						,	rstrip=UpperCamelCase__) if isinstance(UpperCamelCase__						,	UpperCamelCase__) else bos_token
          SCREAMING_SNAKE_CASE_      :  Dict    						=		AddedToken(UpperCamelCase__						,	lstrip=UpperCamelCase__						,	rstrip=UpperCamelCase__) if isinstance(UpperCamelCase__						,	UpperCamelCase__) else eos_token
          SCREAMING_SNAKE_CASE_      :  List[Any]    						=		AddedToken(UpperCamelCase__						,	lstrip=UpperCamelCase__						,	rstrip=UpperCamelCase__) if isinstance(UpperCamelCase__						,	UpperCamelCase__) else sep_token
          SCREAMING_SNAKE_CASE_      :  Union[str, Any]    						=		AddedToken(UpperCamelCase__						,	lstrip=UpperCamelCase__						,	rstrip=UpperCamelCase__) if isinstance(UpperCamelCase__						,	UpperCamelCase__) else cls_token
          SCREAMING_SNAKE_CASE_      :  List[str]    						=		AddedToken(UpperCamelCase__						,	lstrip=UpperCamelCase__						,	rstrip=UpperCamelCase__) if isinstance(UpperCamelCase__						,	UpperCamelCase__) else unk_token
          SCREAMING_SNAKE_CASE_      :  List[Any]    						=		AddedToken(UpperCamelCase__						,	lstrip=UpperCamelCase__						,	rstrip=UpperCamelCase__) if isinstance(UpperCamelCase__						,	UpperCamelCase__) else pad_token

          # Mask token behave like a normal word, i.e. include the space before it
          SCREAMING_SNAKE_CASE_      :  Union[str, Any]    						=		AddedToken(UpperCamelCase__						,	lstrip=UpperCamelCase__						,	rstrip=UpperCamelCase__) if isinstance(UpperCamelCase__						,	UpperCamelCase__) else mask_token

          super().__init__(
              errors=UpperCamelCase__						,	bos_token=UpperCamelCase__						,	eos_token=UpperCamelCase__						,	unk_token=UpperCamelCase__						,	sep_token=UpperCamelCase__						,	cls_token=UpperCamelCase__						,	pad_token=UpperCamelCase__						,	mask_token=UpperCamelCase__						,	add_prefix_space=UpperCamelCase__						,	**UpperCamelCase__						,	)

          with open(UpperCamelCase__						,	encoding='''utf-8''') as vocab_handle:
              SCREAMING_SNAKE_CASE_      :  Tuple    						=		json.load(UpperCamelCase__)
          SCREAMING_SNAKE_CASE_      :  Optional[int]    						=		{v: k for k, v in self.encoder.items()}
          SCREAMING_SNAKE_CASE_      :  Optional[Any]    						=		errors  # how to handle errors in decoding
          SCREAMING_SNAKE_CASE_      :  Optional[int]    						=		bytes_to_unicode()
          SCREAMING_SNAKE_CASE_      :  int    						=		{v: k for k, v in self.byte_encoder.items()}
          with open(UpperCamelCase__						,	encoding='''utf-8''') as merges_handle:
              SCREAMING_SNAKE_CASE_      :  Union[str, Any]    						=		merges_handle.read().split('''\n''')[1:-1]
          SCREAMING_SNAKE_CASE_      :  Dict    						=		[tuple(merge.split()) for merge in bpe_merges]
          SCREAMING_SNAKE_CASE_      :  Union[str, Any]    						=		dict(zip(UpperCamelCase__						,	range(len(UpperCamelCase__))))
          SCREAMING_SNAKE_CASE_      :  Dict    						=		{}
          SCREAMING_SNAKE_CASE_      :  int    						=		add_prefix_space

          # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
          SCREAMING_SNAKE_CASE_      :  Dict    						=		re.compile(r'''\'s|\'t|\'re|\'ve|\'m|\'ll|\'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+''')
      @property
      # Copied from transformers.models.roberta.tokenization_roberta.RobertaTokenizer.vocab_size with Roberta->Blenderbot, RoBERTa->Blenderbot
      def _SCREAMING_SNAKE_CASE (						self     :  Optional[Any]):




          '''simple docstring'''


          return len(self.encoder)
      def _SCREAMING_SNAKE_CASE (						self     :  Optional[int]):




          '''simple docstring'''


          return dict(self.encoder						,	**self.added_tokens_encoder)
      def _SCREAMING_SNAKE_CASE (						self     :  Optional[Any]						,	lowercase_     :  List[str]):




          '''simple docstring'''


          if token in self.cache:
              return self.cache[token]
          SCREAMING_SNAKE_CASE_      :  int    						=		tuple(UpperCamelCase__)
          SCREAMING_SNAKE_CASE_      :  Union[str, Any]    						=		get_pairs(UpperCamelCase__)

          if not pairs:
              return token

          while True:
              SCREAMING_SNAKE_CASE_      :  Any    						=		min(UpperCamelCase__						,	key=lambda lowercase_: self.bpe_ranks.get(UpperCamelCase__						,	float('''inf''')))
              if bigram not in self.bpe_ranks:
                  break
              SCREAMING_SNAKE_CASE_      :  Tuple    						=		bigram
              SCREAMING_SNAKE_CASE_      :  int    						=		[]
              SCREAMING_SNAKE_CASE_      :  Any    						=		0
              while i < len(UpperCamelCase__):
                  try:
                      SCREAMING_SNAKE_CASE_      :  int    						=		word.index(UpperCamelCase__						,	UpperCamelCase__)
                  except ValueError:
                      new_word.extend(word[i:])
                      break
                  else:
                      new_word.extend(word[i:j])
                      SCREAMING_SNAKE_CASE_      :  List[str]    						=		j

                  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
              SCREAMING_SNAKE_CASE_      :  List[str]    						=		tuple(UpperCamelCase__)
              SCREAMING_SNAKE_CASE_      :  Optional[int]    						=		new_word
              if len(UpperCamelCase__) == 1:
                  break
              else:
                  SCREAMING_SNAKE_CASE_      :  Any    						=		get_pairs(UpperCamelCase__)
          SCREAMING_SNAKE_CASE_      :  str    						=		" ".join(UpperCamelCase__)
          SCREAMING_SNAKE_CASE_      :  List[Any]    						=		word
          return word
      def _SCREAMING_SNAKE_CASE (						self     :  str						,	lowercase_     :  Any):




          '''simple docstring'''


          SCREAMING_SNAKE_CASE_      :  Any    						=		[]
          for token in re.findall(self.pat						,	UpperCamelCase__):
              SCREAMING_SNAKE_CASE_      :  Tuple    						=		"".join(
                  self.byte_encoder[b] for b in token.encode('''utf-8'''))  # Maps all our bytes to unicode strings, avoiding control tokens of the BPE (spaces in our case)
              bpe_tokens.extend(bpe_token for bpe_token in self.bpe(UpperCamelCase__).split(''' '''))
          return bpe_tokens
      def _SCREAMING_SNAKE_CASE (						self     :  Optional[int]						,	lowercase_     :  Optional[int]):




          '''simple docstring'''


          return self.encoder.get(UpperCamelCase__						,	self.encoder.get(self.unk_token))
      def _SCREAMING_SNAKE_CASE (						self     :  Any						,	lowercase_     :  int):




          '''simple docstring'''


          return self.decoder.get(UpperCamelCase__)
      def _SCREAMING_SNAKE_CASE (						self     :  Tuple						,	lowercase_     :  Optional[Any]):




          '''simple docstring'''


          SCREAMING_SNAKE_CASE_      :  Optional[int]    						=		"".join(UpperCamelCase__)
          SCREAMING_SNAKE_CASE_      :  str    						=		bytearray([self.byte_decoder[c] for c in text]).decode('''utf-8'''						,	errors=self.errors)
          return text
      def _SCREAMING_SNAKE_CASE (						self     :  Optional[int]						,	lowercase_     :  str						,	lowercase_     :  Optional[str] = None):




          '''simple docstring'''


          if not os.path.isdir(UpperCamelCase__):
              logger.error(F'Vocabulary path ({save_directory}) should be a directory')
              return
          SCREAMING_SNAKE_CASE_      :  Any    						=		os.path.join(
              UpperCamelCase__						,	(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file'''])
          SCREAMING_SNAKE_CASE_      :  Any    						=		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''')

          SCREAMING_SNAKE_CASE_      :  Dict    						=		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 lowercase_: 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!''')
                      SCREAMING_SNAKE_CASE_      :  Dict    						=		token_index
                  writer.write(''' '''.join(UpperCamelCase__) + '''\n''')
                  index += 1

          return vocab_file, merge_file
      def _SCREAMING_SNAKE_CASE (						self     :  List[Any]						,	lowercase_     :  List[int]						,	lowercase_     :  Optional[List[int]] = None						,	lowercase_     :  bool = False):




          '''simple docstring'''


          if already_has_special_tokens:
              return super().get_special_tokens_mask(
                  token_ids_a=UpperCamelCase__						,	token_ids_a=UpperCamelCase__						,	already_has_special_tokens=UpperCamelCase__)

          if token_ids_a is None:
              return [1] + ([0] * len(UpperCamelCase__)) + [1]
          return [1] + ([0] * len(UpperCamelCase__)) + [1, 1] + ([0] * len(UpperCamelCase__)) + [1]
      def _SCREAMING_SNAKE_CASE (						self     :  Optional[int]						,	lowercase_     :  List[int]						,	lowercase_     :  Optional[List[int]] = None):




          '''simple docstring'''


          SCREAMING_SNAKE_CASE_      :  Dict    						=		[self.sep_token_id]
          SCREAMING_SNAKE_CASE_      :  Optional[int]    						=		[self.cls_token_id]

          if token_ids_a is None:
              return len(cls + token_ids_a + sep) * [0]
          return len(cls + token_ids_a + sep + sep + token_ids_a + sep) * [0]
      def _SCREAMING_SNAKE_CASE (						self     :  Tuple						,	lowercase_     :  Dict						,	lowercase_     :  Union[str, Any]=False						,	**lowercase_     :  str):




          '''simple docstring'''


          SCREAMING_SNAKE_CASE_      :  Tuple    						=		kwargs.pop('''add_prefix_space'''						,	self.add_prefix_space)
          if (is_split_into_words or add_prefix_space) and (len(UpperCamelCase__) > 0 and not text[0].isspace()):
              SCREAMING_SNAKE_CASE_      :  List[str]    						=		" " + text
          return (text, kwargs)
      def _SCREAMING_SNAKE_CASE (						self     :  Union[str, Any]						,	lowercase_     :  List[int]						,	lowercase_     :  Optional[List[int]] = None):




          '''simple docstring'''


          return token_ids_a + [self.eos_token_id]



      def _SCREAMING_SNAKE_CASE (						self     :  Dict						,	lowercase_     :  "Conversation"):




          '''simple docstring'''


          SCREAMING_SNAKE_CASE_      :  str    						=		[]
          for is_user, text in conversation.iter_texts():
              if is_user:
                  # We need to space prefix as it's being done within blenderbot
                  inputs.append(''' ''' + text)
              else:
                  # Generated responses should contain them already.
                  inputs.append(UpperCamelCase__)

          SCREAMING_SNAKE_CASE_      :  Union[str, Any]    						=		"  ".join(UpperCamelCase__)
          SCREAMING_SNAKE_CASE_      :  Optional[Any]    						=		self.encode(UpperCamelCase__)
          if len(UpperCamelCase__) > self.model_max_length:
              SCREAMING_SNAKE_CASE_      :  Optional[int]    						=		input_ids[-self.model_max_length :]
              logger.warning(F'Trimmed input from conversation as it was longer than {self.model_max_length} tokens.')
          return input_ids





"""simple docstring"""


import copy
from dataclasses import dataclass
from pathlib import Path
from typing import Dict, Optional, Union





@dataclass
class     snake_case	:
				SCREAMING_SNAKE_CASE_   :      Optional[Union[str, Path]]         =  None
				SCREAMING_SNAKE_CASE_   :      bool         =  False
				SCREAMING_SNAKE_CASE_   :      bool         =  False
				SCREAMING_SNAKE_CASE_   :      bool         =  False
				SCREAMING_SNAKE_CASE_   :      Optional[Dict]         =  None
				SCREAMING_SNAKE_CASE_   :      Optional[str]         =  None
				SCREAMING_SNAKE_CASE_   :      bool         =  False
				SCREAMING_SNAKE_CASE_   :      bool         =  False
				SCREAMING_SNAKE_CASE_   :      bool         =  False
				SCREAMING_SNAKE_CASE_   :      bool         =  True
				SCREAMING_SNAKE_CASE_   :      Optional[int]         =  None
				SCREAMING_SNAKE_CASE_   :      int         =  1
				SCREAMING_SNAKE_CASE_   :      Optional[Union[str, bool]]         =  None
				SCREAMING_SNAKE_CASE_   :      bool         =  False
				SCREAMING_SNAKE_CASE_   :      Optional[Dict]         =  None
				SCREAMING_SNAKE_CASE_   :      Optional[str]         =  None

				def 							lowercase_     (	self							:				str)->   "DownloadConfig":



						'''simple docstring'''


						return self.__class__(**{k: copy.deepcopy(UpperCamelCase__) for k, v in self.__dict__.items()})


