
"""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

UpperCAmelCase__      :    Tuple    							= logging.get_logger(__name__)


UpperCAmelCase__      :    List[Any]    							= {
    'vocab_file': 'vocab.json',
    'merges_file': 'merges.txt',
    'tokenizer_config_file': 'tokenizer_config.json',
}

UpperCAmelCase__      :    List[str]    							= {
    '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': 1_2_8}

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

def lowercase_  (   _snake_case						):
							SCREAMING_SNAKE_CASE__						:       Union[str, Any]           =   set()
							SCREAMING_SNAKE_CASE__						:       Optional[Any]           =   word[0]
							for char in word[1:]:
														pairs.add((prev_char, char)						)
														SCREAMING_SNAKE_CASE__						:       Tuple           =   char
							return pairs



class 	lowerCAmelCase_						(a__  ):


				"""simple docstring"""



				__UpperCamelCase      :						Dict					       =   VOCAB_FILES_NAMES
				__UpperCamelCase      :						Union[str, Any]					       =   PRETRAINED_VOCAB_FILES_MAP
				__UpperCamelCase      :						Optional[Any]					       =   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				__UpperCamelCase      :						Tuple					       =   ['''input_ids''', '''attention_mask''']



				def __init__(self   ,       SCREAMING_SNAKE_CASE__   ,       SCREAMING_SNAKE_CASE__   ,       SCREAMING_SNAKE_CASE__="replace"   ,       SCREAMING_SNAKE_CASE__="<s>"   ,       SCREAMING_SNAKE_CASE__="</s>"   ,       SCREAMING_SNAKE_CASE__="</s>"   ,       SCREAMING_SNAKE_CASE__="<s>"   ,       SCREAMING_SNAKE_CASE__="<unk>"   ,       SCREAMING_SNAKE_CASE__="<pad>"   ,       SCREAMING_SNAKE_CASE__="<mask>"   ,       SCREAMING_SNAKE_CASE__=False   ,       **SCREAMING_SNAKE_CASE__   ,       )					->		Union[str, Any]:



											"""simple docstring"""




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

											# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
											SCREAMING_SNAKE_CASE__						:       Tuple           =   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    )					->		int:



											"""simple docstring"""




											return len(self.encoder    )



				def 	__magic_name__    (self    )					->		int:



											"""simple docstring"""




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



				def 	__magic_name__    (self   ,       SCREAMING_SNAKE_CASE__    )					->		Tuple:



											"""simple docstring"""




											if token in self.cache:
																		return self.cache[token]
											SCREAMING_SNAKE_CASE__						:       int           =   tuple(SCREAMING_SNAKE_CASE__    )
											SCREAMING_SNAKE_CASE__						:       Union[str, Any]           =   get_pairs(SCREAMING_SNAKE_CASE__    )

											if not pairs:
																		return token

											while True:
																		SCREAMING_SNAKE_CASE__						:       Optional[int]           =   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
																		SCREAMING_SNAKE_CASE__      ,      SCREAMING_SNAKE_CASE__						:       List[Any]           =   bigram
																		SCREAMING_SNAKE_CASE__						:       Any           =   []
																		SCREAMING_SNAKE_CASE__						:       Optional[Any]           =   0
																		while i < len(SCREAMING_SNAKE_CASE__    ):
																									try:
																																SCREAMING_SNAKE_CASE__						:       Tuple           =   word.index(SCREAMING_SNAKE_CASE__   ,       SCREAMING_SNAKE_CASE__    )
																									except ValueError:
																																new_word.extend(word[i:]    )
																																break
																									else:
																																new_word.extend(word[i:j]    )
																																SCREAMING_SNAKE_CASE__						:       Dict           =   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
																		SCREAMING_SNAKE_CASE__						:       str           =   tuple(SCREAMING_SNAKE_CASE__    )
																		SCREAMING_SNAKE_CASE__						:       List[Any]           =   new_word
																		if len(SCREAMING_SNAKE_CASE__    ) == 1:
																									break
																		else:
																									SCREAMING_SNAKE_CASE__						:       Tuple           =   get_pairs(SCREAMING_SNAKE_CASE__    )
											SCREAMING_SNAKE_CASE__						:       List[str]           =   """ """.join(SCREAMING_SNAKE_CASE__    )
											SCREAMING_SNAKE_CASE__						:       Union[str, Any]           =   word
											return word



				def 	__magic_name__    (self   ,       SCREAMING_SNAKE_CASE__    )					->		Union[str, Any]:



											"""simple docstring"""




											SCREAMING_SNAKE_CASE__						:       Dict           =   []
											for token in re.findall(self.pat   ,       SCREAMING_SNAKE_CASE__    ):
																		SCREAMING_SNAKE_CASE__						:       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(SCREAMING_SNAKE_CASE__    ).split(""" """    )    )
											return bpe_tokens



				def 	__magic_name__    (self   ,       SCREAMING_SNAKE_CASE__    )					->		Optional[int]:



											"""simple docstring"""




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



				def 	__magic_name__    (self   ,       SCREAMING_SNAKE_CASE__    )					->		str:



											"""simple docstring"""




											return self.decoder.get(SCREAMING_SNAKE_CASE__    )



				def 	__magic_name__    (self   ,       SCREAMING_SNAKE_CASE__    )					->		Optional[Any]:



											"""simple docstring"""




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



				def 	__magic_name__    (self   ,       SCREAMING_SNAKE_CASE__   ,       SCREAMING_SNAKE_CASE__ = None    )					->		Tuple[str]:



											"""simple docstring"""




											if not os.path.isdir(SCREAMING_SNAKE_CASE__    ):
																		logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''    )
																		return
											SCREAMING_SNAKE_CASE__						:       List[Any]           =   os.path.join(
											    SCREAMING_SNAKE_CASE__   ,       (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]    )
											SCREAMING_SNAKE_CASE__						:       Optional[int]           =   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"""    )

											SCREAMING_SNAKE_CASE__						:       Union[str, 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!"""    )
																																SCREAMING_SNAKE_CASE__						:       str           =   token_index
																									writer.write(""" """.join(SCREAMING_SNAKE_CASE__    ) + """\n"""    )
																									index += 1

											return vocab_file, merge_file



				def 	__magic_name__    (self   ,       SCREAMING_SNAKE_CASE__   ,       SCREAMING_SNAKE_CASE__ = None   ,       SCREAMING_SNAKE_CASE__ = False    )					->		List[int]:



											"""simple docstring"""




											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 	__magic_name__    (self   ,       SCREAMING_SNAKE_CASE__   ,       SCREAMING_SNAKE_CASE__ = None    )					->		List[int]:



											"""simple docstring"""




											SCREAMING_SNAKE_CASE__						:       Optional[int]           =   [self.sep_token_id]
											SCREAMING_SNAKE_CASE__						:       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 	__magic_name__    (self   ,       SCREAMING_SNAKE_CASE__   ,       SCREAMING_SNAKE_CASE__=False   ,       **SCREAMING_SNAKE_CASE__    )					->		Union[str, Any]:



											"""simple docstring"""




											SCREAMING_SNAKE_CASE__						:       Union[str, Any]           =   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()):
																		SCREAMING_SNAKE_CASE__						:       List[Any]           =   """ """ + text
											return (text, kwargs)



				def 	__magic_name__    (self   ,       SCREAMING_SNAKE_CASE__   ,       SCREAMING_SNAKE_CASE__ = None    )					->		int:



											"""simple docstring"""




											return token_ids_a + [self.eos_token_id]



				def 	__magic_name__    (self   ,       SCREAMING_SNAKE_CASE__    )					->		List[int]:



											"""simple docstring"""




											SCREAMING_SNAKE_CASE__						:       Tuple           =   []
											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__    )

											SCREAMING_SNAKE_CASE__						:       List[str]           =   """  """.join(SCREAMING_SNAKE_CASE__    )
											SCREAMING_SNAKE_CASE__						:       Dict           =   self.encode(SCREAMING_SNAKE_CASE__    )
											if len(SCREAMING_SNAKE_CASE__    ) > self.model_max_length:
																		SCREAMING_SNAKE_CASE__						:       Any           =   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"""




def lowercase_  (   _snake_case   ,_snake_case						):
							return 1 if input_a == input_a else 0

def lowercase_  (   ):
							assert xnor_gate(0   ,0						) == 1
							assert xnor_gate(0   ,1						) == 0
							assert xnor_gate(1   ,0						) == 0
							assert xnor_gate(1   ,1						) == 1


if __name__ == "__main__":
					print(xnor_gate(0, 0))
					print(xnor_gate(0, 1))
					print(xnor_gate(1, 0))
					print(xnor_gate(1, 1))




