"""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

__lowerCAmelCase    :       List[Any]					     =logging.get_logger(__name__)


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

__lowerCAmelCase    :       int					     ={
    """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"""
    },
}

__lowerCAmelCase    :       Dict					     ={"""facebook/blenderbot-3B""": 1_2_8}


@lru_cache()
# Copied from transformers.models.roberta.tokenization_roberta.bytes_to_unicode
def 			UpperCAmelCase__       (				) ->    List[str]:
      '''simple docstring'''


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


def 			UpperCAmelCase__       (				lowerCAmelCase__     :List[Any]		) ->    List[Any]:
      '''simple docstring'''


      lowercase														=	set()
      lowercase														=	word[0]
      for char in word[1:]:
            pairs.add((prev_char, char)		)
            lowercase														=	char
      return pairs






class  _A						(       lowerCAmelCase	):
      snake_case__			:   Optional[Any]							  =	VOCAB_FILES_NAMES
      snake_case__			:   List[Any]							  =	PRETRAINED_VOCAB_FILES_MAP
      snake_case__			:   Optional[int]							  =	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      snake_case__			:   Any							  =	['input_ids', 'attention_mask']

      def __init__(						self		,       __lowerCAmelCase		,       __lowerCAmelCase		,       __lowerCAmelCase="replace"		,       __lowerCAmelCase="<s>"		,       __lowerCAmelCase="</s>"		,       __lowerCAmelCase="</s>"		,       __lowerCAmelCase="<s>"		,       __lowerCAmelCase="<unk>"		,       __lowerCAmelCase="<pad>"		,       __lowerCAmelCase="<mask>"		,       __lowerCAmelCase=False		,       **__lowerCAmelCase		,       ):







            """simple docstring"""



            lowercase														=	AddedToken(__lowerCAmelCase		,       lstrip=__lowerCAmelCase		,       rstrip=__lowerCAmelCase						) if isinstance(__lowerCAmelCase		,       __lowerCAmelCase						) else bos_token
            lowercase														=	AddedToken(__lowerCAmelCase		,       lstrip=__lowerCAmelCase		,       rstrip=__lowerCAmelCase						) if isinstance(__lowerCAmelCase		,       __lowerCAmelCase						) else eos_token
            lowercase														=	AddedToken(__lowerCAmelCase		,       lstrip=__lowerCAmelCase		,       rstrip=__lowerCAmelCase						) if isinstance(__lowerCAmelCase		,       __lowerCAmelCase						) else sep_token
            lowercase														=	AddedToken(__lowerCAmelCase		,       lstrip=__lowerCAmelCase		,       rstrip=__lowerCAmelCase						) if isinstance(__lowerCAmelCase		,       __lowerCAmelCase						) else cls_token
            lowercase														=	AddedToken(__lowerCAmelCase		,       lstrip=__lowerCAmelCase		,       rstrip=__lowerCAmelCase						) if isinstance(__lowerCAmelCase		,       __lowerCAmelCase						) else unk_token
            lowercase														=	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
            lowercase														=	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:
                  lowercase														=	json.load(__lowerCAmelCase						)
            lowercase														=	{v: k for k, v in self.encoder.items()}
            lowercase														=	errors  # how to handle errors in decoding
            lowercase														=	bytes_to_unicode()
            lowercase														=	{v: k for k, v in self.byte_encoder.items()}
            with open(__lowerCAmelCase		,       encoding="""utf-8"""						) as merges_handle:
                  lowercase														=	merges_handle.read().split("""\n"""						)[1:-1]
            lowercase														=	[tuple(merge.split()						) for merge in bpe_merges]
            lowercase														=	dict(zip(__lowerCAmelCase		,       range(len(__lowerCAmelCase						)						)						)						)
            lowercase														=	{}
            lowercase														=	add_prefix_space

            # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
            lowercase														=	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 				A__       (						self						):







            """simple docstring"""



            return len(self.encoder						)

      def 				A__       (						self						):







            """simple docstring"""



            return dict(self.encoder		,       **self.added_tokens_encoder						)

      def 				A__       (						self		,       __lowerCAmelCase						):







            """simple docstring"""



            if token in self.cache:
                  return self.cache[token]
            lowercase														=	tuple(__lowerCAmelCase						)
            lowercase														=	get_pairs(__lowerCAmelCase						)

            if not pairs:
                  return token

            while True:
                  lowercase														=	min(__lowerCAmelCase		,       key=lambda __lowerCAmelCase						: self.bpe_ranks.get(__lowerCAmelCase		,       float("""inf"""						)						)						)
                  if bigram not in self.bpe_ranks:
                        break
                  lowercase														=	bigram
                  lowercase														=	[]
                  lowercase														=	0
                  while i < len(__lowerCAmelCase						):
                        try:
                              lowercase														=	word.index(__lowerCAmelCase		,       __lowerCAmelCase						)
                        except ValueError:
                              new_word.extend(word[i:]						)
                              break
                        else:
                              new_word.extend(word[i:j]						)
                              lowercase														=	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
                  lowercase														=	tuple(__lowerCAmelCase						)
                  lowercase														=	new_word
                  if len(__lowerCAmelCase						) == 1:
                        break
                  else:
                        lowercase														=	get_pairs(__lowerCAmelCase						)
            lowercase														=	' '.join(__lowerCAmelCase						)
            lowercase														=	word
            return word

      def 				A__       (						self		,       __lowerCAmelCase						):







            """simple docstring"""



            lowercase														=	[]
            for token in re.findall(self.pat		,       __lowerCAmelCase						):
                  lowercase														=	''.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 				A__       (						self		,       __lowerCAmelCase						):







            """simple docstring"""



            return self.encoder.get(__lowerCAmelCase		,       self.encoder.get(self.unk_token						)						)

      def 				A__       (						self		,       __lowerCAmelCase						):







            """simple docstring"""



            return self.decoder.get(__lowerCAmelCase						)

      def 				A__       (						self		,       __lowerCAmelCase						):







            """simple docstring"""



            lowercase														=	''.join(__lowerCAmelCase						)
            lowercase														=	bytearray([self.byte_decoder[c] for c in text]						).decode("""utf-8"""		,       errors=self.errors						)
            return text

      def 				A__       (						self		,       __lowerCAmelCase		,       __lowerCAmelCase = None						):







            """simple docstring"""



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

            lowercase														=	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!"""						)
                              lowercase														=	token_index
                        writer.write(""" """.join(__lowerCAmelCase						) + """\n"""						)
                        index += 1

            return vocab_file, merge_file

      def 				A__       (						self		,       __lowerCAmelCase		,       __lowerCAmelCase = None		,       __lowerCAmelCase = 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 				A__       (						self		,       __lowerCAmelCase		,       __lowerCAmelCase = None						):







            """simple docstring"""



            lowercase														=	[self.sep_token_id]
            lowercase														=	[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 				A__       (						self		,       __lowerCAmelCase		,       __lowerCAmelCase=False		,       **__lowerCAmelCase						):







            """simple docstring"""



            lowercase														=	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()):
                  lowercase														=	' ' + text
            return (text, kwargs)

      def 				A__       (						self		,       __lowerCAmelCase		,       __lowerCAmelCase = None						):







            """simple docstring"""



            return token_ids_a + [self.eos_token_id]







      def 				A__       (						self		,       __lowerCAmelCase						):







            """simple docstring"""



            lowercase														=	[]
            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						)

            lowercase														=	'  '.join(__lowerCAmelCase						)
            lowercase														=	self.encode(__lowerCAmelCase						)
            if len(__lowerCAmelCase						) > self.model_max_length:
                  lowercase														=	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





class      A__							:






				def __init__(						self					:      Optional[Any]    ,     a					:      list   ):






							'''simple docstring'''







							lowerCAmelCase__      :      Dict         =		set_counts
							lowerCAmelCase__      :      str         =		max(a   )
							lowerCAmelCase__      :      Any         =		len(a   )
							lowerCAmelCase__      :      List[str]         =		[1] * num_sets
							lowerCAmelCase__      :      Dict         =		list(range(a   )   )






				def 							_lowerCamelCase		(						self					:      Dict    ,     a					:      int    ,     a					:      int   ):






							'''simple docstring'''







							lowerCAmelCase__      :      Optional[Any]         =		self.get_parent(a   )
							lowerCAmelCase__      :      Tuple         =		self.get_parent(a   )

							if src_parent == dst_parent:
										return False

							if self.ranks[dst_parent] >= self.ranks[src_parent]:
										self.set_counts[dst_parent] += self.set_counts[src_parent]
										lowerCAmelCase__      :      Tuple         =		0
										lowerCAmelCase__      :      str         =		dst_parent
										if self.ranks[dst_parent] == self.ranks[src_parent]:
													self.ranks[dst_parent] += 1
										lowerCAmelCase__      :      List[Any]         =		self.set_counts[dst_parent]
							else:
										self.set_counts[src_parent] += self.set_counts[dst_parent]
										lowerCAmelCase__      :      Optional[int]         =		0
										lowerCAmelCase__      :      Tuple         =		src_parent
										lowerCAmelCase__      :      Optional[int]         =		self.set_counts[src_parent]

							lowerCAmelCase__      :      Optional[Any]         =		max(self.max_set    ,     a   )
							return True






				def 							_lowerCamelCase		(						self					:      Any    ,     a					:      int   ):






							'''simple docstring'''







							if self.parents[disj_set] == disj_set:
										return disj_set
							lowerCAmelCase__      :      Tuple         =		self.get_parent(self.parents[disj_set]   )
							return self.parents[disj_set]