
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[int]     			=      logging.get_logger(__name__)


UpperCAmelCase__		:     Tuple     			=      {
    """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__		:     str     			=      {"""facebook/blenderbot-3B""": 128}






@lru_cache()
# Copied from transformers.models.roberta.tokenization_roberta.bytes_to_unicode
def   lowerCamelCase__							(					)      ->   Optional[int]:
   _A:  Optional[int]					=       (
       list(range(ord('''!'''      )		,		ord('''~'''      ) + 1      )      ) + list(range(ord('''¡'''      )		,		ord('''¬'''      ) + 1      )      ) + list(range(ord('''®'''      )		,		ord('''ÿ'''      ) + 1      )      )
   )
   _A:  Optional[Any]					=       bs[:]
   _A:  List[Any]					=       0
   for b in range(2**8      ):
      if b not in bs:
         bs.append(_UpperCAmelCase      )
         cs.append(2**8 + n      )
         n += 1
   _A:  Any					=       [chr(_UpperCAmelCase      ) for n in cs]
   return dict(zip(_UpperCAmelCase		,		_UpperCAmelCase      )      )






def   lowerCamelCase__							(					a      )      ->   Optional[int]:
   _A:  Union[str, Any]					=       set()
   _A:  List[Any]					=       word[0]
   for char in word[1:]:
      pairs.add((prev_char, char)      )
      _A:  Dict					=       char
   return pairs






class UpperCAmelCase   (						__UpperCamelCase   ):





   '''simple docstring'''
   __UpperCamelCase		:    List[Any] 				=    VOCAB_FILES_NAMES
   __UpperCamelCase		:    Optional[Any] 				=    PRETRAINED_VOCAB_FILES_MAP
   __UpperCamelCase		:    Dict 				=    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   __UpperCamelCase		:    Any 				=    ['''input_ids''', '''attention_mask''']


   def __init__(					self     :							Optional[Any]			,			lowerCAmelCase_     :							List[str]			,			lowerCAmelCase_     :							Dict			,			lowerCAmelCase_     :							Optional[Any]="replace"			,			lowerCAmelCase_     :							str="<s>"			,			lowerCAmelCase_     :							Tuple="</s>"			,			lowerCAmelCase_     :							Dict="</s>"			,			lowerCAmelCase_     :							Union[str, Any]="<s>"			,			lowerCAmelCase_     :							int="<unk>"			,			lowerCAmelCase_     :							Optional[Any]="<pad>"			,			lowerCAmelCase_     :							int="<mask>"			,			lowerCAmelCase_     :							str=False			,			**lowerCAmelCase_     :							Any			,			):

      """simple docstring"""
      _A:  List[str]					=       AddedToken(lowerCAmelCase_			,			lstrip=lowerCAmelCase_			,			rstrip=lowerCAmelCase_     ) if isinstance(lowerCAmelCase_			,			lowerCAmelCase_     ) else bos_token
      _A:  Tuple					=       AddedToken(lowerCAmelCase_			,			lstrip=lowerCAmelCase_			,			rstrip=lowerCAmelCase_     ) if isinstance(lowerCAmelCase_			,			lowerCAmelCase_     ) else eos_token
      _A:  Dict					=       AddedToken(lowerCAmelCase_			,			lstrip=lowerCAmelCase_			,			rstrip=lowerCAmelCase_     ) if isinstance(lowerCAmelCase_			,			lowerCAmelCase_     ) else sep_token
      _A:  Union[str, Any]					=       AddedToken(lowerCAmelCase_			,			lstrip=lowerCAmelCase_			,			rstrip=lowerCAmelCase_     ) if isinstance(lowerCAmelCase_			,			lowerCAmelCase_     ) else cls_token
      _A:  Any					=       AddedToken(lowerCAmelCase_			,			lstrip=lowerCAmelCase_			,			rstrip=lowerCAmelCase_     ) if isinstance(lowerCAmelCase_			,			lowerCAmelCase_     ) else unk_token
      _A:  List[str]					=       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
      _A:  str					=       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:
         _A:  int					=       json.load(lowerCAmelCase_     )
      _A:  List[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:  Union[str, Any]					=       {v: k for k, v in self.byte_encoder.items()}
      with open(lowerCAmelCase_			,			encoding='''utf-8'''     ) as merges_handle:
         _A:  Any					=       merges_handle.read().split('''\n'''     )[1:-1]
      _A:  Union[str, Any]					=       [tuple(merge.split()     ) for merge in bpe_merges]
      _A:  Tuple					=       dict(zip(lowerCAmelCase_			,			range(len(lowerCAmelCase_     )     )     )     )
      _A:  Dict					=       {}
      _A:  Optional[Any]					=       add_prefix_space

      # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
      _A:  Optional[Any]					=       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  __magic_name__				(					self     :							Any     ):

      """simple docstring"""
      return len(self.encoder     )


   def  __magic_name__				(					self     :							Optional[int]     ):

      """simple docstring"""
      return dict(self.encoder			,			**self.added_tokens_encoder     )


   def  __magic_name__				(					self     :							Optional[int]			,			lowerCAmelCase_     :							Optional[int]     ):

      """simple docstring"""
      if token in self.cache:
         return self.cache[token]
      _A:  Union[str, Any]					=       tuple(lowerCAmelCase_     )
      _A:  int					=       get_pairs(lowerCAmelCase_     )

      if not pairs:
         return token

      while True:
         _A:  List[str]					=       min(lowerCAmelCase_			,			key=lambda lowerCAmelCase_     : self.bpe_ranks.get(lowerCAmelCase_			,			float('''inf'''     )     )     )
         if bigram not in self.bpe_ranks:
            break
         _A:  int					=       bigram
         _A:  Optional[Any]					=       []
         _A:  Union[str, Any]					=       0
         while i < len(lowerCAmelCase_     ):
            try:
               _A:  int					=       word.index(lowerCAmelCase_			,			lowerCAmelCase_     )
            except ValueError:
               new_word.extend(word[i:]     )
               break
            else:
               new_word.extend(word[i:j]     )
               _A:  Optional[int]					=       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
         _A:  str					=       tuple(lowerCAmelCase_     )
         _A:  Union[str, Any]					=       new_word
         if len(lowerCAmelCase_     ) == 1:
            break
         else:
            _A:  Optional[Any]					=       get_pairs(lowerCAmelCase_     )
      _A:  int					=       ' '.join(lowerCAmelCase_     )
      _A:  Tuple					=       word
      return word


   def  __magic_name__				(					self     :							int			,			lowerCAmelCase_     :							List[Any]     ):

      """simple docstring"""
      _A:  int					=       []
      for token in re.findall(self.pat			,			lowerCAmelCase_     ):
         _A:  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  __magic_name__				(					self     :							Any			,			lowerCAmelCase_     :							List[Any]     ):

      """simple docstring"""
      return self.encoder.get(lowerCAmelCase_			,			self.encoder.get(self.unk_token     )     )


   def  __magic_name__				(					self     :							Union[str, Any]			,			lowerCAmelCase_     :							Any     ):

      """simple docstring"""
      return self.decoder.get(lowerCAmelCase_     )


   def  __magic_name__				(					self     :							Optional[Any]			,			lowerCAmelCase_     :							int     ):

      """simple docstring"""
      _A:  str					=       ''.join(lowerCAmelCase_     )
      _A:  int					=       bytearray([self.byte_decoder[c] for c in text]     ).decode('''utf-8'''			,			errors=self.errors     )
      return text


   def  __magic_name__				(					self     :							str			,			lowerCAmelCase_     :							str			,			lowerCAmelCase_     :							Optional[str] = None     ):

      """simple docstring"""
      if not os.path.isdir(lowerCAmelCase_     ):
         logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""     )
         return
      _A:  List[str]					=       os.path.join(
          lowerCAmelCase_			,			(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']     )
      _A:  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'''     )

      _A:  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!'''     )
               _A:  Union[str, Any]					=       token_index
            writer.write(''' '''.join(lowerCAmelCase_     ) + '''\n'''     )
            index += 1

      return vocab_file, merge_file


   def  __magic_name__				(					self     :							Union[str, Any]			,			lowerCAmelCase_     :							List[int]			,			lowerCAmelCase_     :							Optional[List[int]] = None			,			lowerCAmelCase_     :							bool = False     ):

      """simple docstring"""
      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  __magic_name__				(					self     :							str			,			lowerCAmelCase_     :							List[int]			,			lowerCAmelCase_     :							Optional[List[int]] = None     ):

      """simple docstring"""
      _A:  Any					=       [self.sep_token_id]
      _A:  Tuple					=       [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  __magic_name__				(					self     :							int			,			lowerCAmelCase_     :							str			,			lowerCAmelCase_     :							Optional[Any]=False			,			**lowerCAmelCase_     :							List[Any]     ):

      """simple docstring"""
      _A:  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()):
         _A:  str					=       ' ' + text
      return (text, kwargs)


   def  __magic_name__				(					self     :							List[Any]			,			lowerCAmelCase_     :							List[int]			,			lowerCAmelCase_     :							Optional[List[int]] = None     ):

      """simple docstring"""
      return token_ids_a + [self.eos_token_id]


   def  __magic_name__				(					self     :							Any			,			lowerCAmelCase_     :							"Conversation"     ):

      """simple docstring"""
      _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(lowerCAmelCase_     )

      _A:  Optional[Any]					=       '  '.join(lowerCAmelCase_     )
      _A:  Union[str, Any]					=       self.encode(lowerCAmelCase_     )
      if len(lowerCAmelCase_     ) > self.model_max_length:
         _A:  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










from __future__ import annotations

from typing import Any


def        SCREAMING_SNAKE_CASE      (       _UpperCAmelCase )			->     None:
    create_state_space_tree(_UpperCAmelCase						,	[]						,	0 )


def        SCREAMING_SNAKE_CASE      (       _UpperCAmelCase						,	_UpperCAmelCase						,	_UpperCAmelCase )			->     None:

    if index == len(_UpperCAmelCase ):
        print(_UpperCAmelCase )
        return

    create_state_space_tree(_UpperCAmelCase						,	_UpperCAmelCase						,	index + 1 )
    current_subsequence.append(sequence[index] )
    create_state_space_tree(_UpperCAmelCase						,	_UpperCAmelCase						,	index + 1 )
    current_subsequence.pop()


if __name__ == "__main__":
    _UpperCAmelCase				:       list[Any]	   =				[3, 1, 2, 4]
    generate_all_subsequences(seq)

    seq.clear()
    seq.extend(["""A""", """B""", """C"""])
    generate_all_subsequences(seq)





