



"""simple docstring"""







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

import regex as re

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


lowercase__		:				Any          =	logging.get_logger(__name__)


lowercase__		:				int          =	{"""vocab_file""": """vocab.json""", """merges_file""": """merges.txt"""}

# See all BART models at https://huggingface.co/models?filter=bart
lowercase__		:				Any          =	{
    """vocab_file""": {
        """facebook/bart-base""": """https://huggingface.co/facebook/bart-base/resolve/main/vocab.json""",
        """facebook/bart-large""": """https://huggingface.co/facebook/bart-large/resolve/main/vocab.json""",
        """facebook/bart-large-mnli""": """https://huggingface.co/facebook/bart-large-mnli/resolve/main/vocab.json""",
        """facebook/bart-large-cnn""": """https://huggingface.co/facebook/bart-large-cnn/resolve/main/vocab.json""",
        """facebook/bart-large-xsum""": """https://huggingface.co/facebook/bart-large-xsum/resolve/main/vocab.json""",
        """yjernite/bart_eli5""": """https://huggingface.co/yjernite/bart_eli5/resolve/main/vocab.json""",
    },
    """merges_file""": {
        """facebook/bart-base""": """https://huggingface.co/facebook/bart-base/resolve/main/merges.txt""",
        """facebook/bart-large""": """https://huggingface.co/facebook/bart-large/resolve/main/merges.txt""",
        """facebook/bart-large-mnli""": """https://huggingface.co/facebook/bart-large-mnli/resolve/main/merges.txt""",
        """facebook/bart-large-cnn""": """https://huggingface.co/facebook/bart-large-cnn/resolve/main/merges.txt""",
        """facebook/bart-large-xsum""": """https://huggingface.co/facebook/bart-large-xsum/resolve/main/merges.txt""",
        """yjernite/bart_eli5""": """https://huggingface.co/yjernite/bart_eli5/resolve/main/merges.txt""",
    },
}

lowercase__		:				Dict          =	{
    """facebook/bart-base""": 1_0_2_4,
    """facebook/bart-large""": 1_0_2_4,
    """facebook/bart-large-mnli""": 1_0_2_4,
    """facebook/bart-large-cnn""": 1_0_2_4,
    """facebook/bart-large-xsum""": 1_0_2_4,
    """yjernite/bart_eli5""": 1_0_2_4,
}

@lru_cache()
def 				UpperCamelCase_    (    )						->   Union[str, Any]:

  """simple docstring"""




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

def 				UpperCamelCase_    (    lowerCAmelCase__      :				Tuple						)						->   List[Any]:

  """simple docstring"""




  lowerCAmelCase_   :				Tuple								= set()
  lowerCAmelCase_   :				Optional[Any]								= word[0]
  for char in word[1:]:
    pairs.add((prev_char, char)						)
    lowerCAmelCase_   :				Union[str, Any]								= char
  return pairs







class       UpperCamelCase__   (	lowercase_  ):




      """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				:      Any    ,			SCREAMING_SNAKE_CASE_				:      int    ,			SCREAMING_SNAKE_CASE_				:      int    ,			SCREAMING_SNAKE_CASE_				:      Dict="replace"    ,			SCREAMING_SNAKE_CASE_				:      Any="<s>"    ,			SCREAMING_SNAKE_CASE_				:      Optional[int]="</s>"    ,			SCREAMING_SNAKE_CASE_				:      Tuple="</s>"    ,			SCREAMING_SNAKE_CASE_				:      str="<s>"    ,			SCREAMING_SNAKE_CASE_				:      List[Any]="<unk>"    ,			SCREAMING_SNAKE_CASE_				:      Union[str, Any]="<pad>"    ,			SCREAMING_SNAKE_CASE_				:      Optional[Any]="<mask>"    ,			SCREAMING_SNAKE_CASE_				:      List[Any]=False    ,			**SCREAMING_SNAKE_CASE_				:      str    ,			):
        lowerCAmelCase_   :				Optional[int]								= AddedToken(SCREAMING_SNAKE_CASE_    ,			lstrip=SCREAMING_SNAKE_CASE_    ,			rstrip=SCREAMING_SNAKE_CASE_       ) if isinstance(SCREAMING_SNAKE_CASE_    ,			SCREAMING_SNAKE_CASE_       ) else bos_token
        lowerCAmelCase_   :				int								= AddedToken(SCREAMING_SNAKE_CASE_    ,			lstrip=SCREAMING_SNAKE_CASE_    ,			rstrip=SCREAMING_SNAKE_CASE_       ) if isinstance(SCREAMING_SNAKE_CASE_    ,			SCREAMING_SNAKE_CASE_       ) else eos_token
        lowerCAmelCase_   :				Any								= AddedToken(SCREAMING_SNAKE_CASE_    ,			lstrip=SCREAMING_SNAKE_CASE_    ,			rstrip=SCREAMING_SNAKE_CASE_       ) if isinstance(SCREAMING_SNAKE_CASE_    ,			SCREAMING_SNAKE_CASE_       ) else sep_token
        lowerCAmelCase_   :				List[str]								= AddedToken(SCREAMING_SNAKE_CASE_    ,			lstrip=SCREAMING_SNAKE_CASE_    ,			rstrip=SCREAMING_SNAKE_CASE_       ) if isinstance(SCREAMING_SNAKE_CASE_    ,			SCREAMING_SNAKE_CASE_       ) else cls_token
        lowerCAmelCase_   :				Optional[Any]								= AddedToken(SCREAMING_SNAKE_CASE_    ,			lstrip=SCREAMING_SNAKE_CASE_    ,			rstrip=SCREAMING_SNAKE_CASE_       ) if isinstance(SCREAMING_SNAKE_CASE_    ,			SCREAMING_SNAKE_CASE_       ) else unk_token
        lowerCAmelCase_   :				str								= AddedToken(SCREAMING_SNAKE_CASE_    ,			lstrip=SCREAMING_SNAKE_CASE_    ,			rstrip=SCREAMING_SNAKE_CASE_       ) if isinstance(SCREAMING_SNAKE_CASE_    ,			SCREAMING_SNAKE_CASE_       ) else pad_token

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

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

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

        # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
        lowerCAmelCase_   :				str								= re.compile(r'\'s|\'t|\'re|\'ve|\'m|\'ll|\'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+'       )



      @property
      def      SCREAMING_SNAKE_CASE__ (      self				:      List[Any]       ):
        return len(self.encoder       )



      def      SCREAMING_SNAKE_CASE__ (      self				:      str       ):
        return dict(self.encoder    ,			**self.added_tokens_encoder       )



      def      SCREAMING_SNAKE_CASE__ (      self				:      Any    ,			SCREAMING_SNAKE_CASE_				:      str       ):
        if token in self.cache:
          return self.cache[token]
        lowerCAmelCase_   :				List[str]								= tuple(SCREAMING_SNAKE_CASE_       )
        lowerCAmelCase_   :				Dict								= get_pairs(SCREAMING_SNAKE_CASE_       )

        if not pairs:
          return token

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

            if word[i] == first and i < len(SCREAMING_SNAKE_CASE_       ) - 1 and word[i + 1] == second:
              new_word.append(first + second       )
              i += 2
            else:
              new_word.append(word[i]       )
              i += 1
          lowerCAmelCase_   :				Tuple								= tuple(SCREAMING_SNAKE_CASE_       )
          lowerCAmelCase_   :				List[Any]								= new_word
          if len(SCREAMING_SNAKE_CASE_       ) == 1:
            break
          else:
            lowerCAmelCase_   :				Optional[Any]								= get_pairs(SCREAMING_SNAKE_CASE_       )
        lowerCAmelCase_   :				Optional[Any]								= ' '.join(SCREAMING_SNAKE_CASE_       )
        lowerCAmelCase_   :				str								= word
        return word



      def      SCREAMING_SNAKE_CASE__ (      self				:      int    ,			SCREAMING_SNAKE_CASE_				:      Union[str, Any]       ):
        lowerCAmelCase_   :				int								= []
        for token in re.findall(self.pat    ,			SCREAMING_SNAKE_CASE_       ):
          lowerCAmelCase_   :				Dict								= ''.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(SCREAMING_SNAKE_CASE_       ).split(' '       )       )
        return bpe_tokens



      def      SCREAMING_SNAKE_CASE__ (      self				:      List[str]    ,			SCREAMING_SNAKE_CASE_				:      List[str]       ):
        return self.encoder.get(SCREAMING_SNAKE_CASE_    ,			self.encoder.get(self.unk_token       )       )



      def      SCREAMING_SNAKE_CASE__ (      self				:      List[str]    ,			SCREAMING_SNAKE_CASE_				:      Union[str, Any]       ):
        return self.decoder.get(SCREAMING_SNAKE_CASE_       )



      def      SCREAMING_SNAKE_CASE__ (      self				:      Union[str, Any]    ,			SCREAMING_SNAKE_CASE_				:      str       ):
        lowerCAmelCase_   :				Optional[Any]								= ''.join(SCREAMING_SNAKE_CASE_       )
        lowerCAmelCase_   :				int								= bytearray([self.byte_decoder[c] for c in text]       ).decode('utf-8'    ,			errors=self.errors       )
        return text



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

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

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

        return vocab_file, merge_file



      def      SCREAMING_SNAKE_CASE__ (      self				:      Optional[Any]    ,			SCREAMING_SNAKE_CASE_				:      List[int]    ,			SCREAMING_SNAKE_CASE_				:      Optional[List[int]] = None       ):
        if token_ids_a is None:
          return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
        lowerCAmelCase_   :				Optional[int]								= [self.cls_token_id]
        lowerCAmelCase_   :				Optional[int]								= [self.sep_token_id]
        return cls + token_ids_a + sep + sep + token_ids_a + sep



      def      SCREAMING_SNAKE_CASE__ (      self				:      Dict    ,			SCREAMING_SNAKE_CASE_				:      List[int]    ,			SCREAMING_SNAKE_CASE_				:      Optional[List[int]] = None    ,			SCREAMING_SNAKE_CASE_				:      bool = False       ):
        if already_has_special_tokens:
          return super().get_special_tokens_mask(
              token_ids_a=SCREAMING_SNAKE_CASE_    ,			token_ids_a=SCREAMING_SNAKE_CASE_    ,			already_has_special_tokens=SCREAMING_SNAKE_CASE_       )

        if token_ids_a is None:
          return [1] + ([0] * len(SCREAMING_SNAKE_CASE_       )) + [1]
        return [1] + ([0] * len(SCREAMING_SNAKE_CASE_       )) + [1, 1] + ([0] * len(SCREAMING_SNAKE_CASE_       )) + [1]



      def      SCREAMING_SNAKE_CASE__ (      self				:      List[str]    ,			SCREAMING_SNAKE_CASE_				:      List[int]    ,			SCREAMING_SNAKE_CASE_				:      Optional[List[int]] = None       ):
        lowerCAmelCase_   :				Dict								= [self.sep_token_id]
        lowerCAmelCase_   :				List[Any]								= [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				:      Union[str, Any]    ,			SCREAMING_SNAKE_CASE_				:      Tuple    ,			SCREAMING_SNAKE_CASE_				:      Optional[int]=False    ,			**SCREAMING_SNAKE_CASE_				:      Optional[Any]       ):
        lowerCAmelCase_   :				Any								= kwargs.pop('add_prefix_space'    ,			self.add_prefix_space       )
        if (is_split_into_words or add_prefix_space) and (len(SCREAMING_SNAKE_CASE_       ) > 0 and not text[0].isspace()):
          lowerCAmelCase_   :				Any								= ' ' + text
        return (text, kwargs)










"""simple docstring"""







import json
from typing import TYPE_CHECKING, List, Optional, Tuple

from tokenizers import pre_tokenizers

from ...tokenization_utils_base import BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging


if TYPE_CHECKING:
     from transformers.pipelines.conversational import Conversation


lowercase__		:				Optional[Any]          =	logging.get_logger(__name__)

lowercase__		:				List[str]          =	{"""tokenizer_file""": """tokenizer.json"""}

lowercase__		:				List[str]          =	{
    """tokenizer_file""": {
        """bigscience/tokenizer""": """https://huggingface.co/bigscience/tokenizer/blob/main/tokenizer.json""",
        """bigscience/bloom-560m""": """https://huggingface.co/bigscience/bloom-560m/blob/main/tokenizer.json""",
        """bigscience/bloom-1b1""": """https://huggingface.co/bigscience/bloom-1b1/blob/main/tokenizer.json""",
        """bigscience/bloom-1b7""": """https://huggingface.co/bigscience/bloom-1b7/blob/main/tokenizer.json""",
        """bigscience/bloom-3b""": """https://huggingface.co/bigscience/bloom-3b/blob/main/tokenizer.json""",
        """bigscience/bloom-7b1""": """https://huggingface.co/bigscience/bloom-7b1/blob/main/tokenizer.json""",
        """bigscience/bloom""": """https://huggingface.co/bigscience/bloom/blob/main/tokenizer.json""",
    },
}







class       UpperCamelCase__   (	lowercase_  ):




      """simple docstring"""




      _SCREAMING_SNAKE_CASE  				=     VOCAB_FILES_NAMES
      _SCREAMING_SNAKE_CASE  				=     PRETRAINED_VOCAB_FILES_MAP
      _SCREAMING_SNAKE_CASE  				=     ["""input_ids""", """attention_mask"""]
      _SCREAMING_SNAKE_CASE  				=     None



      def __init__(      self				:      Union[str, Any]    ,			SCREAMING_SNAKE_CASE_				:      Optional[int]=None    ,			SCREAMING_SNAKE_CASE_				:      Optional[Any]=None    ,			SCREAMING_SNAKE_CASE_				:      Tuple=None    ,			SCREAMING_SNAKE_CASE_				:      Optional[Any]="<unk>"    ,			SCREAMING_SNAKE_CASE_				:      Optional[int]="<s>"    ,			SCREAMING_SNAKE_CASE_				:      Optional[int]="</s>"    ,			SCREAMING_SNAKE_CASE_				:      Optional[int]="<pad>"    ,			SCREAMING_SNAKE_CASE_				:      List[str]=False    ,			SCREAMING_SNAKE_CASE_				:      Any=False    ,			**SCREAMING_SNAKE_CASE_				:      Any    ,			):
        super().__init__(
            SCREAMING_SNAKE_CASE_    ,			SCREAMING_SNAKE_CASE_    ,			tokenizer_file=SCREAMING_SNAKE_CASE_    ,			unk_token=SCREAMING_SNAKE_CASE_    ,			bos_token=SCREAMING_SNAKE_CASE_    ,			eos_token=SCREAMING_SNAKE_CASE_    ,			pad_token=SCREAMING_SNAKE_CASE_    ,			add_prefix_space=SCREAMING_SNAKE_CASE_    ,			clean_up_tokenization_spaces=SCREAMING_SNAKE_CASE_    ,			**SCREAMING_SNAKE_CASE_    ,			)
        lowerCAmelCase_   :				Optional[Any]								= json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()       )
        if pre_tok_state.get('add_prefix_space'    ,			SCREAMING_SNAKE_CASE_       ) != add_prefix_space:
          lowerCAmelCase_   :				str								= getattr(SCREAMING_SNAKE_CASE_    ,			pre_tok_state.pop('type'       )       )
          lowerCAmelCase_   :				str								= add_prefix_space
          lowerCAmelCase_   :				str								= pre_tok_class(**SCREAMING_SNAKE_CASE_       )

        lowerCAmelCase_   :				str								= add_prefix_space



      def      SCREAMING_SNAKE_CASE__ (      self				:      Any    ,			*SCREAMING_SNAKE_CASE_				:      List[Any]    ,			**SCREAMING_SNAKE_CASE_				:      Tuple       ):
        lowerCAmelCase_   :				List[Any]								= kwargs.get('is_split_into_words'    ,			SCREAMING_SNAKE_CASE_       )
        if not (self.add_prefix_space or not is_split_into_words):
          raise Exception(
              F"You need to instantiate {self.__class__.__name__} with add_prefix_space=True to use it with"
              ' pretokenized inputs.'       )

        return super()._batch_encode_plus(*SCREAMING_SNAKE_CASE_    ,			**SCREAMING_SNAKE_CASE_       )



      def      SCREAMING_SNAKE_CASE__ (      self				:      Any    ,			*SCREAMING_SNAKE_CASE_				:      Optional[int]    ,			**SCREAMING_SNAKE_CASE_				:      int       ):
        lowerCAmelCase_   :				List[Any]								= kwargs.get('is_split_into_words'    ,			SCREAMING_SNAKE_CASE_       )

        if not (self.add_prefix_space or not is_split_into_words):
          raise Exception(
              F"You need to instantiate {self.__class__.__name__} with add_prefix_space=True to use it with"
              ' pretokenized inputs.'       )

        return super()._encode_plus(*SCREAMING_SNAKE_CASE_    ,			**SCREAMING_SNAKE_CASE_       )



      def      SCREAMING_SNAKE_CASE__ (      self				:      Optional[Any]    ,			SCREAMING_SNAKE_CASE_				:      str    ,			SCREAMING_SNAKE_CASE_				:      Optional[str] = None       ):
        lowerCAmelCase_   :				Optional[int]								= self._tokenizer.model.save(SCREAMING_SNAKE_CASE_    ,			name=SCREAMING_SNAKE_CASE_       )
        return tuple(SCREAMING_SNAKE_CASE_       )





      def      SCREAMING_SNAKE_CASE__ (      self				:      int    ,			SCREAMING_SNAKE_CASE_				:      "Conversation"       ):
        lowerCAmelCase_   :				int								= []
        for is_user, text in conversation.iter_texts():
          input_ids.extend(self.encode(SCREAMING_SNAKE_CASE_    ,			add_special_tokens=SCREAMING_SNAKE_CASE_       ) + [self.eos_token_id]       )

        if len(SCREAMING_SNAKE_CASE_       ) > self.model_max_length:
          lowerCAmelCase_   :				Any								= input_ids[-self.model_max_length :]
        return input_ids





