




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__						:       List[str]							=    logging.get_logger(__name__)


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

# See all MVP models at https://huggingface.co/models?filter=mvp
UpperCAmelCase__						:       Optional[Any]							=    {
    '''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__						:       Any							=    {
    '''RUCAIBox/mvp''': 1024,
}


@lru_cache()
def 		_lowerCamelCase				(					)			->		Any:





  """simple docstring"""





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


def 		_lowerCamelCase				(					UpperCamelCase							)			->		str:





  """simple docstring"""





  _lowercase: int						     =    set()
  _lowercase: Optional[int]						     =    word[0]
  for char in word[1:]:
    pairs.add((prev_char, char)							)
    _lowercase: int						     =    char
  return pairs





class      UpperCAmelCase						(			lowercase__   ):
   __SCREAMING_SNAKE_CASE		:							str							=					VOCAB_FILES_NAMES
   __SCREAMING_SNAKE_CASE		:							str							=					PRETRAINED_VOCAB_FILES_MAP
   __SCREAMING_SNAKE_CASE		:							List[Any]							=					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   __SCREAMING_SNAKE_CASE		:							int							=					["""input_ids""", """attention_mask"""]






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

     # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
     _lowercase: Dict						     =    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   :       Any     )->			Optional[int]:
     return len(self.encoder     )






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






   def  _a						(	self   :       str						,					UpperCamelCase_   :       Optional[Any]     )->			Tuple:
     if token in self.cache:
       return self.cache[token]
     _lowercase: Any						     =    tuple(_A     )
     _lowercase: List[str]						     =    get_pairs(_A     )

     if not pairs:
       return token

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






   def  _a						(	self   :       Dict						,					UpperCamelCase_   :       List[Any]     )->			int:
     _lowercase: int						     =    []
     for token in re.findall(self.pat						,					_A     ):
       _lowercase: Union[str, 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(_A     ).split(' '     )     )
     return bpe_tokens






   def  _a						(	self   :       Optional[Any]						,					UpperCamelCase_   :       Any     )->			Any:
     return self.encoder.get(_A						,					self.encoder.get(self.unk_token     )     )






   def  _a						(	self   :       Optional[int]						,					UpperCamelCase_   :       List[str]     )->			str:
     return self.decoder.get(_A     )






   def  _a						(	self   :       Tuple						,					UpperCamelCase_   :       Any     )->			Union[str, Any]:
     _lowercase: Tuple						     =    ''.join(_A     )
     _lowercase: Tuple						     =    bytearray([self.byte_decoder[c] for c in text]     ).decode('utf-8'						,					errors=self.errors     )
     return text






   def  _a						(	self   :       Optional[int]						,					UpperCamelCase_   :       str						,					UpperCamelCase_   :       Optional[str] = None     )->			Tuple[str]:
     if not os.path.isdir(_A     ):
       logger.error(f'Vocabulary path ({save_directory}) should be a directory'     )
       return
     _lowercase: Optional[int]						     =    os.path.join(
         _A						,					(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']     )
     _lowercase: Dict						     =    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'     )

     _lowercase: Dict						     =    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 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: Any						     =    token_index
         writer.write(' '.join(_A     ) + '\n'     )
         index += 1

     return vocab_file, merge_file






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






   def  _a						(	self   :       Dict						,					UpperCamelCase_   :       List[int]						,					UpperCamelCase_   :       Optional[List[int]] = None						,					UpperCamelCase_   :       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  _a						(	self   :       str						,					UpperCamelCase_   :       List[int]						,					UpperCamelCase_   :       Optional[List[int]] = None     )->			List[int]:
     _lowercase: Optional[Any]						     =    [self.sep_token_id]
     _lowercase: 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   :       str						,					UpperCamelCase_   :       List[Any]						,					UpperCamelCase_   :       str=False						,					**UpperCamelCase_   :       List[Any]     )->			List[str]:
     _lowercase: List[Any]						     =    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()):
       _lowercase: Tuple						     =    ' ' + text
     return (text, kwargs)






from __future__ import annotations

from pathlib import Path


def 		_lowerCamelCase				(					UpperCamelCase					,     UpperCamelCase							)			->		int:





  """simple docstring"""





  return pointa[0] * pointa[1] - pointa[1] * pointa[0]


def 		_lowerCamelCase				(					UpperCamelCase					,     UpperCamelCase					,     UpperCamelCase					,     UpperCamelCase					,     UpperCamelCase					,     UpperCamelCase							)			->		bool:





  """simple docstring"""





  _lowercase: tuple[int, int]						     =    (xa, ya)
  _lowercase: tuple[int, int]						     =    (xa - xa, ya - ya)
  _lowercase: tuple[int, int]						     =    (xa - xa, ya - ya)
  _lowercase: float						     =    -vector_product(UpperCamelCase					,     UpperCamelCase							) / vector_product(
      UpperCamelCase					,     UpperCamelCase							)
  _lowercase: float						     =    +vector_product(UpperCamelCase					,     UpperCamelCase							) / vector_product(
      UpperCamelCase					,     UpperCamelCase							)

  return a > 0 and b > 0 and a + b < 1


def 		_lowerCamelCase				(					UpperCamelCase = "p102_triangles.txt"							)			->		int:





  """simple docstring"""





  _lowercase: str						     =    Path(UpperCamelCase							).parent.joinpath(UpperCamelCase							).read_text(encoding='utf-8'							)

  _lowercase: list[list[int]]						     =    []
  for line in data.strip().split('\n'							):
    triangles.append([int(UpperCamelCase							) for number in line.split(','							)]							)

  _lowercase: int						     =    0
  _lowercase: list[int]

  for triangle in triangles:
    ret += contains_origin(*UpperCamelCase							)

  return ret


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