
"""simple docstring"""






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


_lowercase							 =							logging.get_logger(__name__)

_lowercase							 =							{
    """vocab_file""": """vocab.json""",
    """merges_file""": """merges.txt""",
}

_lowercase							 =							{
    """vocab_file""": {
        """roberta-base""": """https://huggingface.co/roberta-base/resolve/main/vocab.json""",
        """roberta-large""": """https://huggingface.co/roberta-large/resolve/main/vocab.json""",
        """roberta-large-mnli""": """https://huggingface.co/roberta-large-mnli/resolve/main/vocab.json""",
        """distilroberta-base""": """https://huggingface.co/distilroberta-base/resolve/main/vocab.json""",
        """roberta-base-openai-detector""": """https://huggingface.co/roberta-base-openai-detector/resolve/main/vocab.json""",
        """roberta-large-openai-detector""": (
            """https://huggingface.co/roberta-large-openai-detector/resolve/main/vocab.json"""
        ),
    },
    """merges_file""": {
        """roberta-base""": """https://huggingface.co/roberta-base/resolve/main/merges.txt""",
        """roberta-large""": """https://huggingface.co/roberta-large/resolve/main/merges.txt""",
        """roberta-large-mnli""": """https://huggingface.co/roberta-large-mnli/resolve/main/merges.txt""",
        """distilroberta-base""": """https://huggingface.co/distilroberta-base/resolve/main/merges.txt""",
        """roberta-base-openai-detector""": """https://huggingface.co/roberta-base-openai-detector/resolve/main/merges.txt""",
        """roberta-large-openai-detector""": (
            """https://huggingface.co/roberta-large-openai-detector/resolve/main/merges.txt"""
        ),
    },
}

_lowercase							 =							{
    """roberta-base""": 512,
    """roberta-large""": 512,
    """roberta-large-mnli""": 512,
    """distilroberta-base""": 512,
    """roberta-base-openai-detector""": 512,
    """roberta-large-openai-detector""": 512,
}





@lru_cache()
def     lowerCAmelCase__ (		)	->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(__magic_name__			)
									cs.append(2**8 + n			)
									n += 1
			__lowercase						      =					[chr(__magic_name__			) for n in cs]
			return dict(zip(__magic_name__ ,      __magic_name__			)			)





def     lowerCAmelCase__ (		__magic_name__			)	->Any:
			__lowercase						      =					set()
			__lowercase						      =					word[0]
			for char in word[1:]:
						pairs.add((prev_char, char)			)
						__lowercase						      =					char
			return pairs







class 				__a    (   UpperCamelCase__					):



							'''simple docstring'''







							_lowerCamelCase				: Any					      =      VOCAB_FILES_NAMES
							_lowerCamelCase				: Tuple					      =      PRETRAINED_VOCAB_FILES_MAP
							_lowerCamelCase				: Union[str, Any]					      =      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							_lowerCamelCase				: 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[int]:




										'''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
							def      SCREAMING_SNAKE_CASE	(    self					) ->       Optional[int]:




										'''simple docstring'''
										return len(self.encoder					)
							def      SCREAMING_SNAKE_CASE	(    self					) ->       Tuple:




										'''simple docstring'''
										return dict(self.encoder     ,						**self.added_tokens_encoder					)
							def      SCREAMING_SNAKE_CASE	(    self     ,						_lowerCamelCase					) ->       List[Any]:




										'''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						      =					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      SCREAMING_SNAKE_CASE	(    self     ,						_lowerCamelCase					) ->       int:




										'''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      SCREAMING_SNAKE_CASE	(    self     ,						_lowerCamelCase					) ->       Union[str, Any]:




										'''simple docstring'''
										return self.encoder.get(lowerCAmelCase__     ,						self.encoder.get(self.unk_token					)					)
							def      SCREAMING_SNAKE_CASE	(    self     ,						_lowerCamelCase					) ->       int:




										'''simple docstring'''
										return self.decoder.get(lowerCAmelCase__					)
							def      SCREAMING_SNAKE_CASE	(    self     ,						_lowerCamelCase					) ->       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      SCREAMING_SNAKE_CASE	(    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      SCREAMING_SNAKE_CASE	(    self     ,						_lowerCamelCase     ,						_lowerCamelCase = None					) ->       List[int]:




										'''simple docstring'''




										if token_ids_a is None:
													return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
										__lowercase						      =					[self.cls_token_id]
										__lowercase						      =					[self.sep_token_id]
										return cls + token_ids_a + sep + sep + token_ids_a + sep
							def      SCREAMING_SNAKE_CASE	(    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      SCREAMING_SNAKE_CASE	(    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      SCREAMING_SNAKE_CASE	(    self     ,						_lowerCamelCase     ,						_lowerCamelCase=False     ,						**_lowerCamelCase					) ->       int:




										'''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)







"""simple docstring"""






import os



def     lowerCAmelCase__ (		)	->Tuple:
			__lowercase						      =					0
			__lowercase						      =					0
			with open(os.path.dirname(__magic_name__			) + "/p022_names.txt"			) as file:
						__lowercase						      =					str(file.readlines()[0]			)
						__lowercase						      =					name.replace("\"" ,      ""			).split(","			)

			name.sort()
			for i in range(len(__magic_name__			)			):
						for j in name[i]:
									temp_sum += ord(__magic_name__			) - ord("A"			) + 1
						total_sum += (i + 1) * temp_sum
						__lowercase						      =					0
			return total_sum


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





