



"""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

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


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

lowercase__		:    Union[str, 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"""
    },
}

lowercase__		:    Optional[Any]				   =     {"""facebook/blenderbot-3B""": 1_2_8}

@lru_cache()
# Copied from transformers.models.roberta.tokenization_roberta.bytes_to_unicode
def     UpperCamelCase_   (   )						->       Dict:

  """simple docstring"""




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

def     UpperCamelCase_   (   lowerCAmelCase__				:    Optional[int]						)						->       str:

  """simple docstring"""




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







class 				UpperCamelCase__       (     __lowerCAmelCase  ):




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

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

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

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

        # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
        lowerCAmelCase_       :    List[str]								=			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]	):
        return len(self.encoder	)



      def 					SCREAMING_SNAKE_CASE__			(				self    :				List[Any]	):
        return dict(self.encoder   ,      **self.added_tokens_encoder	)



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

        if not pairs:
          return token

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

            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
          lowerCAmelCase_       :    Optional[Any]								=			tuple(lowerCAmelCase_	)
          lowerCAmelCase_       :    Union[str, Any]								=			new_word
          if len(lowerCAmelCase_	) == 1:
            break
          else:
            lowerCAmelCase_       :    str								=			get_pairs(lowerCAmelCase_	)
        lowerCAmelCase_       :    Dict								=			' '.join(lowerCAmelCase_	)
        lowerCAmelCase_       :    List[str]								=			word
        return word



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



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



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



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



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

        lowerCAmelCase_       :    Dict								=			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 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_       :    Tuple								=			token_index
            writer.write(' '.join(lowerCAmelCase_	) + '\n'	)
            index += 1

        return vocab_file, merge_file



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

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



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



      def 					SCREAMING_SNAKE_CASE__			(				self    :				List[Any]   ,      SCREAMING_SNAKE_CASE_    :				Tuple   ,      SCREAMING_SNAKE_CASE_    :				List[str] = None	):
        return token_ids_a + [self.eos_token_id]





      def 					SCREAMING_SNAKE_CASE__			(				self    :				Union[str, Any]   ,      SCREAMING_SNAKE_CASE_    :				List[Any]	):
        lowerCAmelCase_       :    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(lowerCAmelCase_	)

        lowerCAmelCase_       :    Dict								=			'  '.join(lowerCAmelCase_	)
        lowerCAmelCase_       :    str								=			self.encode(lowerCAmelCase_	)
        if len(lowerCAmelCase_	) > self.model_max_length:
          lowerCAmelCase_       :    List[str]								=			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 os

from huggingface_hub.constants import HUGGINGFACE_HUB_CACHE, hf_cache_home


lowercase__		:    int				   =     HUGGINGFACE_HUB_CACHE


lowercase__		:    Tuple				   =     """config.json"""
lowercase__		:    Union[str, Any]				   =     """diffusion_pytorch_model.bin"""
lowercase__		:    List[Any]				   =     """diffusion_flax_model.msgpack"""
lowercase__		:    List[str]				   =     """model.onnx"""
lowercase__		:    List[Any]				   =     """diffusion_pytorch_model.safetensors"""
lowercase__		:    Dict				   =     """weights.pb"""
lowercase__		:    List[Any]				   =     """https://huggingface.co"""
lowercase__		:    List[Any]				   =     default_cache_path
lowercase__		:    Tuple				   =     """diffusers_modules"""
lowercase__		:    Tuple				   =     os.getenv("""HF_MODULES_CACHE""", os.path.join(hf_cache_home, """modules"""))
lowercase__		:    List[str]				   =     ["""fp16""", """non-ema"""]
lowercase__		:    Optional[Any]				   =     """.self_attn"""





