


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


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

UpperCAmelCase_				:			List[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[Any]   =	{'facebook/blenderbot-3B': 128}







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

       """simple docstring"""

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







def 	SCREAMING_SNAKE_CASE_						(      __A			:      Tuple    )     ->		str:

       """simple docstring"""

       a_ :		List[Any]							=  set()
       a_ :		Union[str, Any]							=  word[0]
       for char in word[1:]:
              pairs.add((prev_char, char)    )
              a_ :		Union[str, Any]							=  char
       return pairs
class 			SCREAMING_SNAKE_CASE__  (    lowercase__      ):
      snake_case__    :					Dict					       =						VOCAB_FILES_NAMES
      snake_case__    :					Tuple					       =						PRETRAINED_VOCAB_FILES_MAP
      snake_case__    :					List[str]					       =						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      snake_case__    :					List[Any]					       =						['''input_ids''', '''attention_mask''']
      def __init__(	self    :	str					,							SCREAMING_SNAKE_CASE__    :	Tuple					,							SCREAMING_SNAKE_CASE__    :	List[str]					,							SCREAMING_SNAKE_CASE__    :	List[str]="replace"					,							SCREAMING_SNAKE_CASE__    :	Optional[int]="<s>"					,							SCREAMING_SNAKE_CASE__    :	Optional[Any]="</s>"					,							SCREAMING_SNAKE_CASE__    :	Optional[int]="</s>"					,							SCREAMING_SNAKE_CASE__    :	Optional[int]="<s>"					,							SCREAMING_SNAKE_CASE__    :	List[Any]="<unk>"					,							SCREAMING_SNAKE_CASE__    :	Optional[int]="<pad>"					,							SCREAMING_SNAKE_CASE__    :	List[Any]="<mask>"					,							SCREAMING_SNAKE_CASE__    :	Dict=False					,							**SCREAMING_SNAKE_CASE__    :	str					,							)		->      Any:
             a_ :		Tuple							=  AddedToken(SCREAMING_SNAKE_CASE__					,							lstrip=SCREAMING_SNAKE_CASE__					,							rstrip=SCREAMING_SNAKE_CASE__					) if isinstance(SCREAMING_SNAKE_CASE__					,							SCREAMING_SNAKE_CASE__					) else bos_token
             a_ :		int							=  AddedToken(SCREAMING_SNAKE_CASE__					,							lstrip=SCREAMING_SNAKE_CASE__					,							rstrip=SCREAMING_SNAKE_CASE__					) if isinstance(SCREAMING_SNAKE_CASE__					,							SCREAMING_SNAKE_CASE__					) else eos_token
             a_ :		str							=  AddedToken(SCREAMING_SNAKE_CASE__					,							lstrip=SCREAMING_SNAKE_CASE__					,							rstrip=SCREAMING_SNAKE_CASE__					) if isinstance(SCREAMING_SNAKE_CASE__					,							SCREAMING_SNAKE_CASE__					) else sep_token
             a_ :		str							=  AddedToken(SCREAMING_SNAKE_CASE__					,							lstrip=SCREAMING_SNAKE_CASE__					,							rstrip=SCREAMING_SNAKE_CASE__					) if isinstance(SCREAMING_SNAKE_CASE__					,							SCREAMING_SNAKE_CASE__					) else cls_token
             a_ :		Dict							=  AddedToken(SCREAMING_SNAKE_CASE__					,							lstrip=SCREAMING_SNAKE_CASE__					,							rstrip=SCREAMING_SNAKE_CASE__					) if isinstance(SCREAMING_SNAKE_CASE__					,							SCREAMING_SNAKE_CASE__					) else unk_token
             a_ :		List[Any]							=  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
             a_ :		Optional[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:
                    a_ :		Optional[int]							=  json.load(SCREAMING_SNAKE_CASE__					)
             a_ :		Union[str, Any]							=  {v: k for k, v in self.encoder.items()}
             a_ :		Tuple							=  errors  # how to handle errors in decoding
             a_ :		List[str]							=  bytes_to_unicode()
             a_ :		List[Any]							=  {v: k for k, v in self.byte_encoder.items()}
             with open(SCREAMING_SNAKE_CASE__					,							encoding='utf-8'					) as merges_handle:
                    a_ :		Optional[int]							=  merges_handle.read().split('\n'					)[1:-1]
             a_ :		List[str]							=  [tuple(merge.split()					) for merge in bpe_merges]
             a_ :		Any							=  dict(zip(SCREAMING_SNAKE_CASE__					,							range(len(SCREAMING_SNAKE_CASE__					)					)					)					)
             a_ :		Optional[Any]							=  {}
             a_ :		Optional[Any]							=  add_prefix_space

             # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
             a_ :		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    :	Dict					)		->      Optional[int]:
             return len(self.encoder					)
      def 	SCREAMING_SNAKE_CASE							(	self    :	str					)		->      Any:
             return dict(self.encoder					,							**self.added_tokens_encoder					)
      def 	SCREAMING_SNAKE_CASE							(	self    :	Dict					,							SCREAMING_SNAKE_CASE__    :	Any					)		->      Union[str, Any]:
             if token in self.cache:
                    return self.cache[token]
             a_ :		Optional[Any]							=  tuple(SCREAMING_SNAKE_CASE__					)
             a_ :		Any							=  get_pairs(SCREAMING_SNAKE_CASE__					)

             if not pairs:
                    return token

             while True:
                    a_ :		Dict							=  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
                    a_							,		a_ :		Optional[Any]							=  bigram
                    a_ :		Any							=  []
                    a_ :		Any							=  0
                    while i < len(SCREAMING_SNAKE_CASE__					):
                           try:
                                  a_ :		Optional[Any]							=  word.index(SCREAMING_SNAKE_CASE__					,							SCREAMING_SNAKE_CASE__					)
                           except ValueError:
                                  new_word.extend(word[i:]					)
                                  break
                           else:
                                  new_word.extend(word[i:j]					)
                                  a_ :		int							=  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
                    a_ :		Union[str, Any]							=  tuple(SCREAMING_SNAKE_CASE__					)
                    a_ :		List[str]							=  new_word
                    if len(SCREAMING_SNAKE_CASE__					) == 1:
                           break
                    else:
                           a_ :		List[Any]							=  get_pairs(SCREAMING_SNAKE_CASE__					)
             a_ :		Any							=  ' '.join(SCREAMING_SNAKE_CASE__					)
             a_ :		Tuple							=  word
             return word
      def 	SCREAMING_SNAKE_CASE							(	self    :	Optional[Any]					,							SCREAMING_SNAKE_CASE__    :	List[str]					)		->      str:
             a_ :		Optional[Any]							=  []
             for token in re.findall(self.pat					,							SCREAMING_SNAKE_CASE__					):
                    a_ :		str							=  ''.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    :	Any					,							SCREAMING_SNAKE_CASE__    :	Union[str, Any]					)		->      Tuple:
             return self.encoder.get(SCREAMING_SNAKE_CASE__					,							self.encoder.get(self.unk_token					)					)
      def 	SCREAMING_SNAKE_CASE							(	self    :	int					,							SCREAMING_SNAKE_CASE__    :	int					)		->      List[str]:
             return self.decoder.get(SCREAMING_SNAKE_CASE__					)
      def 	SCREAMING_SNAKE_CASE							(	self    :	List[str]					,							SCREAMING_SNAKE_CASE__    :	Any					)		->      List[str]:
             a_ :		List[Any]							=  ''.join(SCREAMING_SNAKE_CASE__					)
             a_ :		Optional[int]							=  bytearray([self.byte_decoder[c] for c in text]					).decode('utf-8'					,							errors=self.errors					)
             return text
      def 	SCREAMING_SNAKE_CASE							(	self    :	Union[str, Any]					,							SCREAMING_SNAKE_CASE__    :	str					,							SCREAMING_SNAKE_CASE__    :	Optional[str] = None					)		->      Tuple[str]:
             if not os.path.isdir(SCREAMING_SNAKE_CASE__					):
                    logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""					)
                    return
             a_ :		List[Any]							=  os.path.join(
                 SCREAMING_SNAKE_CASE__					,							(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']					)
             a_ :		Dict							=  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'					)

             a_ :		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!'					)
                                  a_ :		Tuple							=  token_index
                           writer.write(' '.join(SCREAMING_SNAKE_CASE__					) + '\n'					)
                           index += 1

             return vocab_file, merge_file
      def 	SCREAMING_SNAKE_CASE							(	self    :	Dict					,							SCREAMING_SNAKE_CASE__    :	List[int]					,							SCREAMING_SNAKE_CASE__    :	Optional[List[int]] = None					,							SCREAMING_SNAKE_CASE__    :	bool = False					)		->      List[int]:
             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    :	Optional[Any]					,							SCREAMING_SNAKE_CASE__    :	List[int]					,							SCREAMING_SNAKE_CASE__    :	Optional[List[int]] = None					)		->      List[int]:
             a_ :		str							=  [self.sep_token_id]
             a_ :		List[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__    :	Tuple					,							SCREAMING_SNAKE_CASE__    :	str=False					,							**SCREAMING_SNAKE_CASE__    :	str					)		->      Optional[Any]:
             a_ :		List[str]							=  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()):
                    a_ :		str							=  ' ' + text
             return (text, kwargs)
      def 	SCREAMING_SNAKE_CASE							(	self    :	int					,							SCREAMING_SNAKE_CASE__    :	List[int]					,							SCREAMING_SNAKE_CASE__    :	Optional[List[int]] = None					)		->      int:
             return token_ids_a + [self.eos_token_id]

      def 	SCREAMING_SNAKE_CASE							(	self    :	List[str]					,							SCREAMING_SNAKE_CASE__    :	"Conversation"					)		->      List[int]:
             a_ :		Union[str, Any]							=  []
             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(SCREAMING_SNAKE_CASE__					)

             a_ :		Tuple							=  '  '.join(SCREAMING_SNAKE_CASE__					)
             a_ :		Any							=  self.encode(SCREAMING_SNAKE_CASE__					)
             if len(SCREAMING_SNAKE_CASE__					) > self.model_max_length:
                    a_ :		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






def 	SCREAMING_SNAKE_CASE_						(      __A			:      list    )     ->		bool:

       """simple docstring"""

       if not isinstance(__A  ,   __A    ):
              raise ValueError('Input series is not valid, valid series - [2, 4, 6]'    )
       if len(__A    ) == 0:
              raise ValueError('Input list must be a non empty list'    )
       if len(__A    ) == 1:
              return True
       a_ :		Tuple							=  series[1] - series[0]
       for index in range(len(__A    ) - 1    ):
              if series[index + 1] - series[index] != common_diff:
                     return False
       return True







def 	SCREAMING_SNAKE_CASE_						(      __A			:      list    )     ->		float:

       """simple docstring"""

       if not isinstance(__A  ,   __A    ):
              raise ValueError('Input series is not valid, valid series - [2, 4, 6]'    )
       if len(__A    ) == 0:
              raise ValueError('Input list must be a non empty list'    )
       a_ :		str							=  0
       for val in series:
              answer += val
       return answer / len(__A    )


if __name__ == "__main__":
   import doctest

   doctest.testmod()


