





'''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

_SCREAMING_SNAKE_CASE   =      logging.get_logger(__name__)


_SCREAMING_SNAKE_CASE   =      {
    '''vocab_file''': '''vocab.json''',
    '''merges_file''': '''merges.txt''',
    '''tokenizer_config_file''': '''tokenizer_config.json''',
}

_SCREAMING_SNAKE_CASE   =      {
    '''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'''
    },
}

_SCREAMING_SNAKE_CASE   =      {'''facebook/blenderbot-3B''': 1_2_8}




@lru_cache()
# Copied from transformers.models.roberta.tokenization_roberta.bytes_to_unicode
def 				_lowerCAmelCase  (			):
			__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(lowerCamelCase_			)
									cs.append(2**8 + n			)
									n += 1
			__lowercase			  =							[chr(lowerCamelCase_			) for n in cs]
			return dict(zip(lowerCamelCase_						,    lowerCamelCase_			)			)




def 				_lowerCAmelCase  (			lowerCamelCase_     :					str			):
			__lowercase			  =							set()
			__lowercase			  =							word[0]
			for char in word[1:]:
						pairs.add((prev_char, char)			)
						__lowercase			  =							char
			return pairs






class 							__lowercase    ( lowerCAmelCase__  ):







	'''simple docstring'''

	a      :			str     =    VOCAB_FILES_NAMES
	a      :			str     =    PRETRAINED_VOCAB_FILES_MAP
	a      :			int     =    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	a      :			int     =    ["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       ,)							->							Optional[Any]:







				'''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   _UpperCAmelCase       (self	)							->							List[Any]:







				'''simple docstring'''





				return len(self.encoder	)


	def   _UpperCAmelCase       (self	)							->							str:







				'''simple docstring'''





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


	def   _UpperCAmelCase       (self       ,_lowerCamelCase	)							->							int:







				'''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  ,						__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   _UpperCAmelCase       (self       ,_lowerCamelCase	)							->							List[str]:







				'''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   _UpperCAmelCase       (self       ,_lowerCamelCase	)							->							Optional[int]:







				'''simple docstring'''





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


	def   _UpperCAmelCase       (self       ,_lowerCamelCase	)							->							Union[str, Any]:







				'''simple docstring'''





				return self.decoder.get(_lowerCamelCase	)


	def   _UpperCAmelCase       (self       ,_lowerCamelCase	)							->							Optional[int]:







				'''simple docstring'''





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


	def   _UpperCAmelCase       (self       ,_lowerCamelCase       ,_lowerCamelCase = None	)							->							Tuple[str]:







				'''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   _UpperCAmelCase       (self       ,_lowerCamelCase       ,_lowerCamelCase = None       ,_lowerCamelCase = False	)							->							List[int]:







				'''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   _UpperCAmelCase       (self       ,_lowerCamelCase       ,_lowerCamelCase = None	)							->							List[int]:







				'''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   _UpperCAmelCase       (self       ,_lowerCamelCase       ,_lowerCamelCase=False       ,**_lowerCamelCase	)							->							Union[str, Any]:







				'''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   _UpperCAmelCase       (self       ,_lowerCamelCase       ,_lowerCamelCase = None	)							->							Dict:







				'''simple docstring'''





				return token_ids_a + [self.eos_token_id]


	def   _UpperCAmelCase       (self       ,_lowerCamelCase	)							->							List[int]:







				'''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












'''simple docstring'''



def 				_lowerCAmelCase  (			lowerCamelCase_     :					int = 6_0_0_8_5_1_4_7_5_1_4_3			):

			try:
						__lowercase			  =							int(lowerCamelCase_			)
			except (TypeError, ValueError):
						raise TypeError('''Parameter n must be int or castable to int.'''			)
			if n <= 0:
						raise ValueError('''Parameter n must be greater than or equal to one.'''			)
			__lowercase			  =							1
			__lowercase			  =							2
			while i * i <= n:
						while n % i == 0:
									__lowercase			  =							i
									n //= i
						i += 1
			if n > 1:
						__lowercase			  =							n
			return int(lowerCamelCase_			)


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





