
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

A		: Any								=     logging.get_logger(__name__)


A		: Optional[int]								=     {
    '''vocab_file''': '''vocab.json''',
    '''merges_file''': '''merges.txt''',
    '''tokenizer_config_file''': '''tokenizer_config.json''',
}

A		: 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'''
    },
}

A		: int								=     {'''facebook/blenderbot-3B''': 128}




@lru_cache()
# Copied from transformers.models.roberta.tokenization_roberta.bytes_to_unicode
def 	UpperCamelCase__  (     )  ->     Tuple:
						_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__  (     SCREAMING_SNAKE_CASE_	:	Dict       )  ->     Union[str, Any]:
						_lowercase					       =					set()
						_lowercase					       =					word[0]
						for char in word[1:]:
												pairs.add((prev_char, char)       )
												_lowercase					       =					char
						return pairs



class    a_ (			_a    ):
			a	:			int					   =							VOCAB_FILES_NAMES
			a	:			int					   =							PRETRAINED_VOCAB_FILES_MAP
			a	:			Union[str, Any]					   =							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			a	:			Optional[int]					   =							['''input_ids''', '''attention_mask''']






			def __init__(      self				,			__UpperCamelCase				,			__UpperCamelCase				,			__UpperCamelCase="replace"				,			__UpperCamelCase="<s>"				,			__UpperCamelCase="</s>"				,			__UpperCamelCase="</s>"				,			__UpperCamelCase="<s>"				,			__UpperCamelCase="<unk>"				,			__UpperCamelCase="<pad>"				,			__UpperCamelCase="<mask>"				,			__UpperCamelCase=False				,			**__UpperCamelCase				,			):
									_lowercase					       =					AddedToken(__UpperCamelCase				,			lstrip=__UpperCamelCase				,			rstrip=__UpperCamelCase  ) if isinstance(__UpperCamelCase				,			__UpperCamelCase  ) else bos_token
									_lowercase					       =					AddedToken(__UpperCamelCase				,			lstrip=__UpperCamelCase				,			rstrip=__UpperCamelCase  ) if isinstance(__UpperCamelCase				,			__UpperCamelCase  ) else eos_token
									_lowercase					       =					AddedToken(__UpperCamelCase				,			lstrip=__UpperCamelCase				,			rstrip=__UpperCamelCase  ) if isinstance(__UpperCamelCase				,			__UpperCamelCase  ) else sep_token
									_lowercase					       =					AddedToken(__UpperCamelCase				,			lstrip=__UpperCamelCase				,			rstrip=__UpperCamelCase  ) if isinstance(__UpperCamelCase				,			__UpperCamelCase  ) else cls_token
									_lowercase					       =					AddedToken(__UpperCamelCase				,			lstrip=__UpperCamelCase				,			rstrip=__UpperCamelCase  ) if isinstance(__UpperCamelCase				,			__UpperCamelCase  ) else unk_token
									_lowercase					       =					AddedToken(__UpperCamelCase				,			lstrip=__UpperCamelCase				,			rstrip=__UpperCamelCase  ) if isinstance(__UpperCamelCase				,			__UpperCamelCase  ) else pad_token

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

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

									with open(__UpperCamelCase				,			encoding="""utf-8"""  ) as vocab_handle:
															_lowercase					       =					json.load(__UpperCamelCase  )
									_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(__UpperCamelCase				,			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(__UpperCamelCase				,			range(len(__UpperCamelCase  )  )  )  )
									_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    UpperCamelCase_				(      self  ):
									return len(self.encoder  )






			def    UpperCamelCase_				(      self  ):
									return dict(self.encoder				,			**self.added_tokens_encoder  )






			def    UpperCamelCase_				(      self				,			__UpperCamelCase  ):
									if token in self.cache:
															return self.cache[token]
									_lowercase					       =					tuple(__UpperCamelCase  )
									_lowercase					       =					get_pairs(__UpperCamelCase  )

									if not pairs:
															return token

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

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






			def    UpperCamelCase_				(      self				,			__UpperCamelCase  ):
									_lowercase					       =					[]
									for token in re.findall(self.pat				,			__UpperCamelCase  ):
															_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(__UpperCamelCase  ).split(""" """  )  )
									return bpe_tokens






			def    UpperCamelCase_				(      self				,			__UpperCamelCase  ):
									return self.encoder.get(__UpperCamelCase				,			self.encoder.get(self.unk_token  )  )






			def    UpperCamelCase_				(      self				,			__UpperCamelCase  ):
									return self.decoder.get(__UpperCamelCase  )






			def    UpperCamelCase_				(      self				,			__UpperCamelCase  ):
									_lowercase					       =					"""""".join(__UpperCamelCase  )
									_lowercase					       =					bytearray([self.byte_decoder[c] for c in text]  ).decode("""utf-8"""				,			errors=self.errors  )
									return text






			def    UpperCamelCase_				(      self				,			__UpperCamelCase				,			__UpperCamelCase = None  ):
									if not os.path.isdir(__UpperCamelCase  ):
															logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""  )
															return
									_lowercase					       =					os.path.join(
									    __UpperCamelCase				,			(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]  )
									_lowercase					       =					os.path.join(
									    __UpperCamelCase				,			(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""merges_file"""]  )

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

									_lowercase					       =					0
									with open(__UpperCamelCase				,			"""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 __UpperCamelCase  : 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(__UpperCamelCase  ) + """\n"""  )
																					index += 1

									return vocab_file, merge_file






			def    UpperCamelCase_				(      self				,			__UpperCamelCase				,			__UpperCamelCase = None				,			__UpperCamelCase = False  ):
									if already_has_special_tokens:
															return super().get_special_tokens_mask(
															    token_ids_a=__UpperCamelCase				,			token_ids_a=__UpperCamelCase				,			already_has_special_tokens=__UpperCamelCase  )

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






			def    UpperCamelCase_				(      self				,			__UpperCamelCase				,			__UpperCamelCase = None  ):
									_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    UpperCamelCase_				(      self				,			__UpperCamelCase				,			__UpperCamelCase=False				,			**__UpperCamelCase  ):
									_lowercase					       =					kwargs.pop("""add_prefix_space"""				,			self.add_prefix_space  )
									if (is_split_into_words or add_prefix_space) and (len(__UpperCamelCase  ) > 0 and not text[0].isspace()):
															_lowercase					       =					""" """ + text
									return (text, kwargs)






			def    UpperCamelCase_				(      self				,			__UpperCamelCase				,			__UpperCamelCase = None  ):
									return token_ids_a + [self.eos_token_id]






			def    UpperCamelCase_				(      self				,			__UpperCamelCase  ):
									_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(__UpperCamelCase  )

									_lowercase					       =					"""  """.join(__UpperCamelCase  )
									_lowercase					       =					self.encode(__UpperCamelCase  )
									if len(__UpperCamelCase  ) > 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

def 	UpperCamelCase__  (     SCREAMING_SNAKE_CASE_	:	int = 2_00_00_00       )  ->     int:
						_lowercase					       =					[0 for i in range(n + 1       )]
						_lowercase					       =					1
						_lowercase					       =					1

						for i in range(2		,   int(n**0.5       ) + 1       ):
												if primality_list[i] == 0:
																		for j in range(i * i		,   n + 1		,   SCREAMING_SNAKE_CASE_       ):
																								_lowercase					       =					1
						_lowercase					       =					0
						for i in range(SCREAMING_SNAKE_CASE_       ):
												if primality_list[i] == 0:
																		sum_of_primes += i
						return sum_of_primes


if __name__ == "__main__":
		print(F'{solution() = }')