





'''simple docstring'''




import json
import os
from typing import Optional, Tuple

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


lowercase__       : Any         =       logging.get_logger(__name__)

lowercase__       : List[str]         =       {'''vocab_file''': '''vocab.json'''}

lowercase__       : Union[str, Any]         =       {
    '''vocab_file''': {
        '''mgp-str''': '''https://huggingface.co/alibaba-damo/mgp-str-base/blob/main/vocab.json''',
    }
}

lowercase__       : Optional[int]         =       {'''mgp-str''': 27}


class 					SCREAMING_SNAKE_CASE       (a__				):
     lowerCAmelCase						     =			VOCAB_FILES_NAMES
     lowerCAmelCase						     =			PRETRAINED_VOCAB_FILES_MAP
     lowerCAmelCase						     =			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES


     def __init__(		self		,      _UpperCAmelCase		,      _UpperCAmelCase="[GO]"		,      _UpperCAmelCase="[GO]"		,      _UpperCAmelCase="[s]"		,      _UpperCAmelCase="[GO]"		,      **_UpperCAmelCase):

          '''simple docstring'''






          super().__init__(
              unk_token=_UpperCAmelCase		,      bos_token=_UpperCAmelCase		,      eos_token=_UpperCAmelCase		,      pad_token=_UpperCAmelCase		,      **_UpperCAmelCase		,      )

          with open(_UpperCAmelCase		,      encoding='utf-8') as vocab_handle:
               __A		:					Union[str, Any]						=			json.load(_UpperCAmelCase)
          __A		:					str						=			{v: k for k, v in self.vocab.items()}


     @property
     def 				SCREAMING_SNAKE_CASE    (		self):

          '''simple docstring'''






          return len(self.vocab)


     def 				SCREAMING_SNAKE_CASE    (		self):

          '''simple docstring'''






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


     def 				SCREAMING_SNAKE_CASE    (		self		,      _UpperCAmelCase):

          '''simple docstring'''






          __A		:					Dict						=			[]
          for s in text:
               char_tokens.extend(_UpperCAmelCase)
          return char_tokens


     def 				SCREAMING_SNAKE_CASE    (		self		,      _UpperCAmelCase):

          '''simple docstring'''






          return self.vocab.get(_UpperCAmelCase		,      self.vocab.get(self.unk_token))


     def 				SCREAMING_SNAKE_CASE    (		self		,      _UpperCAmelCase):

          '''simple docstring'''






          return self.decoder.get(_UpperCAmelCase)


     def 				SCREAMING_SNAKE_CASE    (		self		,      _UpperCAmelCase		,      _UpperCAmelCase = None):

          '''simple docstring'''






          if not os.path.isdir(_UpperCAmelCase):
               logger.error('Vocabulary path ({}) should be a directory'.format(_UpperCAmelCase))
               return
          __A		:					int						=			os.path.join(
              _UpperCAmelCase		,      (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file'])

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

          return (vocab_file,)
'''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						:							Dict    							=						logging.get_logger(__name__)


__lowerCAmelCase						:							Optional[int]    							=						{
    "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						:							List[str]    							=						{"facebook/blenderbot-3B": 128}





@lru_cache()
# Copied from transformers.models.roberta.tokenization_roberta.bytes_to_unicode
def    lowerCAmelCase       (		):


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





def    lowerCAmelCase       (		UpperCamelCase__					: int							):


	"""simple docstring"""
	__UpperCAmelCase      					=      set()
	__UpperCAmelCase      					=      word[0]
	for char in word[1:]:
		pairs.add((prev_char, char)							)
		__UpperCAmelCase      					=      char
	return pairs






class     A ( UpperCAmelCase ):
							a_										=   VOCAB_FILES_NAMES
							a_										=   PRETRAINED_VOCAB_FILES_MAP
							a_										=   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							a_										=   ['''input_ids''', '''attention_mask''']





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

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

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

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

								# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
								__UpperCAmelCase      					=      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    snake_case__    (   self					:				List[Any]						)				->						Union[str, Any]:
								return len(self.encoder						)





							def    snake_case__    (   self					:				str						)				->						int:
								return dict(self.encoder  ,		**self.added_tokens_encoder						)





							def    snake_case__    (   self					:				List[Any]  ,		__a					:				Tuple						)				->						List[Any]:
								if token in self.cache:
									return self.cache[token]
								__UpperCAmelCase      					=      tuple(__a						)
								__UpperCAmelCase      					=      get_pairs(__a						)

								if not pairs:
									return token

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

										if word[i] == first and i < len(__a						) - 1 and word[i + 1] == second:
											new_word.append(first + second						)
											i += 2
										else:
											new_word.append(word[i]						)
											i += 1
									__UpperCAmelCase      					=      tuple(__a						)
									__UpperCAmelCase      					=      new_word
									if len(__a						) == 1:
										break
									else:
										__UpperCAmelCase      					=      get_pairs(__a						)
								__UpperCAmelCase      					=      ''' '''.join(__a						)
								__UpperCAmelCase      					=      word
								return word





							def    snake_case__    (   self					:				int  ,		__a					:				int						)				->						List[Any]:
								__UpperCAmelCase      					=      []
								for token in re.findall(self.pat  ,		__a						):
									__UpperCAmelCase      					=      ''''''.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(__a						).split(''' '''						)						)
								return bpe_tokens





							def    snake_case__    (   self					:				Optional[Any]  ,		__a					:				Tuple						)				->						str:
								return self.encoder.get(__a  ,		self.encoder.get(self.unk_token						)						)





							def    snake_case__    (   self					:				Optional[int]  ,		__a					:				Any						)				->						List[str]:
								return self.decoder.get(__a						)





							def    snake_case__    (   self					:				Union[str, Any]  ,		__a					:				List[str]						)				->						List[Any]:
								__UpperCAmelCase      					=      ''''''.join(__a						)
								__UpperCAmelCase      					=      bytearray([self.byte_decoder[c] for c in text]						).decode('''utf-8'''  ,		errors=self.errors						)
								return text





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

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

								__UpperCAmelCase      					=      0
								with open(__a  ,		'''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 __a						: 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!'''						)
											__UpperCAmelCase      					=      token_index
										writer.write(''' '''.join(__a						) + '''\n'''						)
										index += 1

								return vocab_file, merge_file





							def    snake_case__    (   self					:				Union[str, Any]  ,		__a					:				List[int]  ,		__a					:				Optional[List[int]] = None  ,		__a					:				bool = False						)				->						List[int]:
								if already_has_special_tokens:
									return super().get_special_tokens_mask(
									    token_ids_a=__a  ,		token_ids_a=__a  ,		already_has_special_tokens=__a						)

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





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





							def    snake_case__    (   self					:				List[str]  ,		__a					:				List[int]  ,		__a					:				Optional[List[int]] = None						)				->						Dict:
								return token_ids_a + [self.eos_token_id]






							def    snake_case__    (   self					:				Optional[Any]  ,		__a					:				"Conversation"						)				->						List[int]:
								__UpperCAmelCase      					=      []
								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(__a						)

								__UpperCAmelCase      					=      '''  '''.join(__a						)
								__UpperCAmelCase      					=      self.encode(__a						)
								if len(__a						) > self.model_max_length:
									__UpperCAmelCase      					=      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
