



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


snake_case     :    Optional[int]						=    logging.get_logger(__name__)

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

snake_case     :    str						=    {
    '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'
        ),
    },
}

snake_case     :    Tuple						=    {
    'roberta-base': 5_1_2,
    'roberta-large': 5_1_2,
    'roberta-large-mnli': 5_1_2,
    'distilroberta-base': 5_1_2,
    'roberta-base-openai-detector': 5_1_2,
    'roberta-large-openai-detector': 5_1_2,
}
@lru_cache()
def 						snake_case__							(       )		->		Optional[Any]:







						"""simple docstring"""

						A__						:				int         =			(
						    list(range(ord("!"							)				,  ord("~"							) + 1							)							) + list(range(ord("¡"							)				,  ord("¬"							) + 1							)							) + list(range(ord("®"							)				,  ord("ÿ"							) + 1							)							)
						)
						A__						:				List[str]         =			bs[:]
						A__						:				List[str]         =			0
						for b in range(2**8							):
												if b not in bs:
																		bs.append(__lowercase							)
																		cs.append(2**8 + n							)
																		n += 1
						A__						:				int         =			[chr(__lowercase							) for n in cs]
						return dict(zip(__lowercase				,  __lowercase							)							)
def 						snake_case__							(       __lowercase							)		->		str:







						"""simple docstring"""

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




class 				lowerCAmelCase__	(						UpperCamelCase    ):
					__A  :     str     =    VOCAB_FILES_NAMES
					__A  :     Union[str, Any]     =    PRETRAINED_VOCAB_FILES_MAP
					__A  :     Optional[int]     =    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					__A  :     Any     =    ['input_ids', 'attention_mask']







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

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







					def 			_lowercase      (							self   :  List[str]):
											return dict(self.encoder      ,		**self.added_tokens_encoder)







					def 			_lowercase      (							self   :  int      ,		_A   :  Optional[int]):
											if token in self.cache:
																	return self.cache[token]
											A__						:				List[Any]         =			tuple(_A)
											A__						:				Dict         =			get_pairs(_A)

											if not pairs:
																	return token

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







					def 			_lowercase      (							self   :  Any      ,		_A   :  Dict):
											A__						:				Optional[Any]         =			[]
											for token in re.findall(self.pat      ,		_A):
																	A__						:				List[str]         =			"".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 			_lowercase      (							self   :  Any      ,		_A   :  Tuple):
											return self.encoder.get(_A      ,		self.encoder.get(self.unk_token))







					def 			_lowercase      (							self   :  str      ,		_A   :  List[str]):
											return self.decoder.get(_A)







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







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

											A__						:				Tuple         =			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 _A: 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!")
																													A__						:				Tuple         =			token_index
																							writer.write(" ".join(_A) + "\n")
																							index += 1

											return vocab_file, merge_file







					def 			_lowercase      (							self   :  Dict      ,		_A   :  List[int]      ,		_A   :  Optional[List[int]] = None):
											if token_ids_a is None:
																	return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
											A__						:				Tuple         =			[self.cls_token_id]
											A__						:				Any         =			[self.sep_token_id]
											return cls + token_ids_a + sep + sep + token_ids_a + sep







					def 			_lowercase      (							self   :  Union[str, Any]      ,		_A   :  List[int]      ,		_A   :  Optional[List[int]] = None      ,		_A   :  bool = False):
											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 			_lowercase      (							self   :  List[Any]      ,		_A   :  List[int]      ,		_A   :  Optional[List[int]] = None):
											A__						:				int         =			[self.sep_token_id]
											A__						:				Optional[Any]         =			[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 			_lowercase      (							self   :  Union[str, Any]      ,		_A   :  Dict      ,		_A   :  Any=False      ,		**_A   :  Optional[int]):
											A__						:				List[str]         =			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()):
																	A__						:				Union[str, Any]         =			" " + text
											return (text, kwargs)




def 						snake_case__							(       __lowercase = 1_0_0_0							)		->		int:







						"""simple docstring"""

						A__						:				int         =			0
						A__						:				Optional[int]         =			0
						while 1:
												num += 3
												if num >= n:
																		break
												total += num
												num += 2
												if num >= n:
																		break
												total += num
												num += 1
												if num >= n:
																		break
												total += num
												num += 3
												if num >= n:
																		break
												total += num
												num += 1
												if num >= n:
																		break
												total += num
												num += 2
												if num >= n:
																		break
												total += num
												num += 3
												if num >= n:
																		break
												total += num
						return total


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