



import json
import os
from functools import lru_cache
from typing import List, Optional, Tuple

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


UpperCamelCase_									=   logging.get_logger(__name__)


UpperCamelCase_									=   {'''vocab_file''': '''vocab.json''', '''merges_file''': '''merges.txt'''}

# See all MVP models at https://huggingface.co/models?filter=mvp
UpperCamelCase_									=   {
    '''vocab_file''': {
        '''RUCAIBox/mvp''': '''https://huggingface.co/RUCAIBox/mvp/resolve/main/vocab.json''',
    },
    '''added_tokens.json''': {
        '''RUCAIBox/mvp''': '''https://huggingface.co/RUCAIBox/mvp/resolve/main/added_tokens.json''',
    },
    '''merges_file''': {
        '''RUCAIBox/mvp''': '''https://huggingface.co/RUCAIBox/mvp/resolve/main/merges.txt''',
    },
}

UpperCamelCase_									=   {
    '''RUCAIBox/mvp''': 1024,
}







@lru_cache()
def       lowerCamelCase_  (    ):



    '''simple docstring'''




    UpperCAmelCase_     :       List[Any]  		=					(
        list(range(ord("""!"""    )   ,		ord("""~"""    ) + 1    )    ) + list(range(ord("""¡"""    )   ,		ord("""¬"""    ) + 1    )    ) + list(range(ord("""®"""    )   ,		ord("""ÿ"""    ) + 1    )    )
    )
    UpperCAmelCase_     :       int  		=					bs[:]
    UpperCAmelCase_     :       Union[str, Any]  		=					0
    for b in range(2**8    ):
        if b not in bs:
            bs.append(_a    )
            cs.append(2**8 + n    )
            n += 1
    UpperCAmelCase_     :       Tuple  		=					[chr(_a    ) for n in cs]
    return dict(zip(_a   ,		_a    )    )







def       lowerCamelCase_  (    _a       :						Union[str, Any]    ):



    '''simple docstring'''




    UpperCAmelCase_     :       str  		=					set()
    UpperCAmelCase_     :       Optional[Any]  		=					word[0]
    for char in word[1:]:
        pairs.add((prev_char, char)    )
        UpperCAmelCase_     :       Dict  		=					char
    return pairs







class       _snake_case				(     __snake_case ):






   '''simple docstring'''






   A__      : str       =						VOCAB_FILES_NAMES
   A__      : Optional[int]       =						PRETRAINED_VOCAB_FILES_MAP
   A__      : str       =						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   A__      : Tuple       =						["input_ids", "attention_mask"]


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

       # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
       UpperCAmelCase_     :       Union[str, Any]  		=					re.compile(R"""'s|'t|'re|'ve|'m|'ll|'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+"""							)


   @property
   def       A__    (    self:     int							)	->      Dict:
       return len(self.encoder							)


   def       A__    (    self:     List[str]							)	->      Any:
       return dict(self.encoder  ,**self.added_tokens_encoder							)


   def       A__    (    self:     int  ,lowerCamelCase_:     Optional[Any]							)	->      Union[str, Any]:
       if token in self.cache:
           return self.cache[token]
       UpperCAmelCase_     :       Optional[Any]  		=					tuple(lowerCamelCase_							)
       UpperCAmelCase_     :       List[Any]  		=					get_pairs(lowerCamelCase_							)

       if not pairs:
           return token

       while True:
           UpperCAmelCase_     :       Dict  		=					min(lowerCamelCase_  ,key=lambda lowerCamelCase_							: self.bpe_ranks.get(lowerCamelCase_  ,float("""inf"""							)							)							)
           if bigram not in self.bpe_ranks:
               break
           UpperCAmelCase_		, UpperCAmelCase_     :       str  		=					bigram
           UpperCAmelCase_     :       List[str]  		=					[]
           UpperCAmelCase_     :       Union[str, Any]  		=					0
           while i < len(lowerCamelCase_							):
               try:
                   UpperCAmelCase_     :       List[Any]  		=					word.index(lowerCamelCase_  ,lowerCamelCase_							)
               except ValueError:
                   new_word.extend(word[i:]							)
                   break
               else:
                   new_word.extend(word[i:j]							)
                   UpperCAmelCase_     :       Union[str, Any]  		=					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
           UpperCAmelCase_     :       str  		=					tuple(lowerCamelCase_							)
           UpperCAmelCase_     :       str  		=					new_word
           if len(lowerCamelCase_							) == 1:
               break
           else:
               UpperCAmelCase_     :       int  		=					get_pairs(lowerCamelCase_							)
       UpperCAmelCase_     :       List[str]  		=					""" """.join(lowerCamelCase_							)
       UpperCAmelCase_     :       str  		=					word
       return word


   def       A__    (    self:     Optional[Any]  ,lowerCamelCase_:     Union[str, Any]							)	->      int:
       UpperCAmelCase_     :       Optional[Any]  		=					[]
       for token in re.findall(self.pat  ,lowerCamelCase_							):
           UpperCAmelCase_     :       int  		=					"""""".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:     Tuple  ,lowerCamelCase_:     List[str]							)	->      List[str]:
       return self.encoder.get(lowerCamelCase_  ,self.encoder.get(self.unk_token							)							)


   def       A__    (    self:     Any  ,lowerCamelCase_:     Optional[Any]							)	->      Optional[Any]:
       return self.decoder.get(lowerCamelCase_							)


   def       A__    (    self:     List[Any]  ,lowerCamelCase_:     Any							)	->      Union[str, Any]:
       UpperCAmelCase_     :       Union[str, Any]  		=					"""""".join(lowerCamelCase_							)
       UpperCAmelCase_     :       List[Any]  		=					bytearray([self.byte_decoder[c] for c in text]							).decode("""utf-8"""  ,errors=self.errors							)
       return text


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

       UpperCAmelCase_     :       str  		=					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!"""							)
                   UpperCAmelCase_     :       List[str]  		=					token_index
               writer.write(""" """.join(lowerCamelCase_							) + """\n"""							)
               index += 1

       return vocab_file, merge_file


   def       A__    (    self:     Any  ,lowerCamelCase_:     List[int]  ,lowerCamelCase_:     Optional[List[int]] = None							)	->      List[int]:
       if token_ids_a is None:
           return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
       UpperCAmelCase_     :       Tuple  		=					[self.cls_token_id]
       UpperCAmelCase_     :       str  		=					[self.sep_token_id]
       return cls + token_ids_a + sep + sep + token_ids_a + sep


   def       A__    (    self:     int  ,lowerCamelCase_:     List[int]  ,lowerCamelCase_:     Optional[List[int]] = None  ,lowerCamelCase_:     bool = False							)	->      List[int]:
       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:     Optional[Any]  ,lowerCamelCase_:     List[int]  ,lowerCamelCase_:     Optional[List[int]] = None							)	->      List[int]:
       UpperCAmelCase_     :       List[Any]  		=					[self.sep_token_id]
       UpperCAmelCase_     :       int  		=					[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:     Tuple  ,lowerCamelCase_:     str  ,lowerCamelCase_:     Tuple=False  ,**lowerCamelCase_:     List[Any]							)	->      Any:
       UpperCAmelCase_     :       List[str]  		=					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()):
           UpperCAmelCase_     :       List[str]  		=					""" """ + text
       return (text, kwargs)




import math






def 	lowerCamelCase_       (			_a			):




		"""simple docstring"""






		if 1 < number < 4:
				# 2 and 3 are primes
				return True
		elif number < 2 or number % 2 == 0 or number % 3 == 0:
				# Negatives, 0, 1, all even numbers, all multiples of 3 are not primes
				return False

		# All primes number are in format of 6k +/- 1
		for i in range(5      ,  int(math.sqrt(_a			) + 1			)      ,  6			):
				if number % i == 0 or number % (i + 2) == 0:
						return False
		return True






def 	lowerCamelCase_       (			_a = 1_000      ,  _a = 1_000			):




		"""simple docstring"""






		lowerCAmelCase__  :     Union[str, Any]       	=   [0, 0, 0]  # length, a, b
		for a in range((a_limit * -1) + 1      ,  _a			):
				for b in range(2      ,  _a			):
						if is_prime(_a			):
								lowerCAmelCase__  :     str       	=   0
								lowerCAmelCase__  :     int       	=   0
								while is_prime((n**2) + (a * n) + b			):
										count += 1
										n += 1
								if count > longest[0]:
										lowerCAmelCase__  :     Dict       	=   [count, a, b]
		lowerCAmelCase__  :     int       	=   longest[1] * longest[2]
		return ans


if __name__ == "__main__":
		print(solution(1000, 1000))




