
'''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				:						Union[str, Any]												= logging.get_logger(__name__)

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

_lowercase				:						Optional[Any]												= {
    "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				:						List[str]												= {
    "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_	(       ):



						"""simple docstring"""





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



						"""simple docstring"""





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






class 				lowerCAmelCase__     (						lowerCamelCase_  ):
					lowerCAmelCase_       =  VOCAB_FILES_NAMES
					lowerCAmelCase_       =  PRETRAINED_VOCAB_FILES_MAP
					lowerCAmelCase_       =  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					lowerCAmelCase_       =  ['''input_ids''', '''attention_mask''']






					def __init__(     self       ,							__SCREAMING_SNAKE_CASE       ,							__SCREAMING_SNAKE_CASE       ,							__SCREAMING_SNAKE_CASE="replace"       ,							__SCREAMING_SNAKE_CASE="<s>"       ,							__SCREAMING_SNAKE_CASE="</s>"       ,							__SCREAMING_SNAKE_CASE="</s>"       ,							__SCREAMING_SNAKE_CASE="<s>"       ,							__SCREAMING_SNAKE_CASE="<unk>"       ,							__SCREAMING_SNAKE_CASE="<pad>"       ,							__SCREAMING_SNAKE_CASE="<mask>"       ,							__SCREAMING_SNAKE_CASE=False       ,							**__SCREAMING_SNAKE_CASE       ,							):


											"""simple docstring"""





											lowercase_			:  int									= AddedToken(__SCREAMING_SNAKE_CASE       ,							lstrip=__SCREAMING_SNAKE_CASE       ,							rstrip=__SCREAMING_SNAKE_CASE	) if isinstance(__SCREAMING_SNAKE_CASE       ,							__SCREAMING_SNAKE_CASE	) else bos_token
											lowercase_			:  Union[str, Any]									= AddedToken(__SCREAMING_SNAKE_CASE       ,							lstrip=__SCREAMING_SNAKE_CASE       ,							rstrip=__SCREAMING_SNAKE_CASE	) if isinstance(__SCREAMING_SNAKE_CASE       ,							__SCREAMING_SNAKE_CASE	) else eos_token
											lowercase_			:  List[str]									= AddedToken(__SCREAMING_SNAKE_CASE       ,							lstrip=__SCREAMING_SNAKE_CASE       ,							rstrip=__SCREAMING_SNAKE_CASE	) if isinstance(__SCREAMING_SNAKE_CASE       ,							__SCREAMING_SNAKE_CASE	) else sep_token
											lowercase_			:  List[str]									= AddedToken(__SCREAMING_SNAKE_CASE       ,							lstrip=__SCREAMING_SNAKE_CASE       ,							rstrip=__SCREAMING_SNAKE_CASE	) if isinstance(__SCREAMING_SNAKE_CASE       ,							__SCREAMING_SNAKE_CASE	) else cls_token
											lowercase_			:  List[str]									= AddedToken(__SCREAMING_SNAKE_CASE       ,							lstrip=__SCREAMING_SNAKE_CASE       ,							rstrip=__SCREAMING_SNAKE_CASE	) if isinstance(__SCREAMING_SNAKE_CASE       ,							__SCREAMING_SNAKE_CASE	) else unk_token
											lowercase_			:  Optional[Any]									= AddedToken(__SCREAMING_SNAKE_CASE       ,							lstrip=__SCREAMING_SNAKE_CASE       ,							rstrip=__SCREAMING_SNAKE_CASE	) if isinstance(__SCREAMING_SNAKE_CASE       ,							__SCREAMING_SNAKE_CASE	) else pad_token

											# Mask token behave like a normal word, i.e. include the space before it
											lowercase_			:  Union[str, Any]									= AddedToken(__SCREAMING_SNAKE_CASE       ,							lstrip=__SCREAMING_SNAKE_CASE       ,							rstrip=__SCREAMING_SNAKE_CASE	) if isinstance(__SCREAMING_SNAKE_CASE       ,							__SCREAMING_SNAKE_CASE	) else mask_token

											super().__init__(
											    errors=__SCREAMING_SNAKE_CASE       ,							bos_token=__SCREAMING_SNAKE_CASE       ,							eos_token=__SCREAMING_SNAKE_CASE       ,							unk_token=__SCREAMING_SNAKE_CASE       ,							sep_token=__SCREAMING_SNAKE_CASE       ,							cls_token=__SCREAMING_SNAKE_CASE       ,							pad_token=__SCREAMING_SNAKE_CASE       ,							mask_token=__SCREAMING_SNAKE_CASE       ,							add_prefix_space=__SCREAMING_SNAKE_CASE       ,							**__SCREAMING_SNAKE_CASE       ,							)

											with open(__SCREAMING_SNAKE_CASE       ,							encoding='''utf-8'''	) as vocab_handle:
																	lowercase_			:  Optional[Any]									= json.load(__SCREAMING_SNAKE_CASE	)
											lowercase_			:  Optional[Any]									= {v: k for k, v in self.encoder.items()}
											lowercase_			:  Optional[int]									= errors  # how to handle errors in decoding
											lowercase_			:  Tuple									= bytes_to_unicode()
											lowercase_			:  int									= {v: k for k, v in self.byte_encoder.items()}
											with open(__SCREAMING_SNAKE_CASE       ,							encoding='''utf-8'''	) as merges_handle:
																	lowercase_			:  Any									= merges_handle.read().split('''\n'''	)[1:-1]
											lowercase_			:  Tuple									= [tuple(merge.split()	) for merge in bpe_merges]
											lowercase_			:  Union[str, Any]									= dict(zip(__SCREAMING_SNAKE_CASE       ,							range(len(__SCREAMING_SNAKE_CASE	)	)	)	)
											lowercase_			:  Optional[int]									= {}
											lowercase_			:  Optional[Any]									= add_prefix_space

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






					@property
					def 			_snake_case					(     self	):


											"""simple docstring"""





											return len(self.encoder	)






					def 			_snake_case					(     self	):


											"""simple docstring"""





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






					def 			_snake_case					(     self       ,							__SCREAMING_SNAKE_CASE	):


											"""simple docstring"""





											if token in self.cache:
																	return self.cache[token]
											lowercase_			:  Optional[int]									= tuple(__SCREAMING_SNAKE_CASE	)
											lowercase_			:  List[str]									= get_pairs(__SCREAMING_SNAKE_CASE	)

											if not pairs:
																	return token

											while True:
																	lowercase_			:  Dict									= min(__SCREAMING_SNAKE_CASE       ,							key=lambda __SCREAMING_SNAKE_CASE	: self.bpe_ranks.get(__SCREAMING_SNAKE_CASE       ,							float('''inf'''	)	)	)
																	if bigram not in self.bpe_ranks:
																							break
																	lowercase_			:  Optional[Any]									= bigram
																	lowercase_			:  List[Any]									= []
																	lowercase_			:  Union[str, Any]									= 0
																	while i < len(__SCREAMING_SNAKE_CASE	):
																							try:
																													lowercase_			:  List[Any]									= word.index(__SCREAMING_SNAKE_CASE       ,							__SCREAMING_SNAKE_CASE	)
																							except ValueError:
																													new_word.extend(word[i:]	)
																													break
																							else:
																													new_word.extend(word[i:j]	)
																													lowercase_			:  Any									= j

																							if word[i] == first and i < len(__SCREAMING_SNAKE_CASE	) - 1 and word[i + 1] == second:
																													new_word.append(first + second	)
																													i += 2
																							else:
																													new_word.append(word[i]	)
																													i += 1
																	lowercase_			:  Dict									= tuple(__SCREAMING_SNAKE_CASE	)
																	lowercase_			:  List[Any]									= new_word
																	if len(__SCREAMING_SNAKE_CASE	) == 1:
																							break
																	else:
																							lowercase_			:  Optional[int]									= get_pairs(__SCREAMING_SNAKE_CASE	)
											lowercase_			:  List[Any]									= ''' '''.join(__SCREAMING_SNAKE_CASE	)
											lowercase_			:  Optional[int]									= word
											return word






					def 			_snake_case					(     self       ,							__SCREAMING_SNAKE_CASE	):


											"""simple docstring"""





											lowercase_			:  Union[str, Any]									= []
											for token in re.findall(self.pat       ,							__SCREAMING_SNAKE_CASE	):
																	lowercase_			:  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(__SCREAMING_SNAKE_CASE	).split(''' '''	)	)
											return bpe_tokens






					def 			_snake_case					(     self       ,							__SCREAMING_SNAKE_CASE	):


											"""simple docstring"""





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






					def 			_snake_case					(     self       ,							__SCREAMING_SNAKE_CASE	):


											"""simple docstring"""





											return self.decoder.get(__SCREAMING_SNAKE_CASE	)






					def 			_snake_case					(     self       ,							__SCREAMING_SNAKE_CASE	):


											"""simple docstring"""





											lowercase_			:  Tuple									= ''''''.join(__SCREAMING_SNAKE_CASE	)
											lowercase_			:  Union[str, Any]									= bytearray([self.byte_decoder[c] for c in text]	).decode('''utf-8'''       ,							errors=self.errors	)
											return text






					def 			_snake_case					(     self       ,							__SCREAMING_SNAKE_CASE       ,							__SCREAMING_SNAKE_CASE = None	):


											"""simple docstring"""





											if not os.path.isdir(__SCREAMING_SNAKE_CASE	):
																	logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''	)
																	return
											lowercase_			:  Optional[Any]									= os.path.join(
											    __SCREAMING_SNAKE_CASE       ,							(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']	)
											lowercase_			:  Any									= os.path.join(
											    __SCREAMING_SNAKE_CASE       ,							(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''merges_file''']	)

											with open(__SCREAMING_SNAKE_CASE       ,							'''w'''       ,							encoding='''utf-8'''	) as f:
																	f.write(json.dumps(self.encoder       ,							indent=2       ,							sort_keys=__SCREAMING_SNAKE_CASE       ,							ensure_ascii=__SCREAMING_SNAKE_CASE	) + '''\n'''	)

											lowercase_			:  Union[str, Any]									= 0
											with open(__SCREAMING_SNAKE_CASE       ,							'''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 __SCREAMING_SNAKE_CASE	: 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_			:  Union[str, Any]									= token_index
																							writer.write(''' '''.join(__SCREAMING_SNAKE_CASE	) + '''\n'''	)
																							index += 1

											return vocab_file, merge_file






					def 			_snake_case					(     self       ,							__SCREAMING_SNAKE_CASE       ,							__SCREAMING_SNAKE_CASE = None	):


											"""simple docstring"""





											if token_ids_a is None:
																	return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
											lowercase_			:  List[Any]									= [self.cls_token_id]
											lowercase_			:  List[str]									= [self.sep_token_id]
											return cls + token_ids_a + sep + sep + token_ids_a + sep






					def 			_snake_case					(     self       ,							__SCREAMING_SNAKE_CASE       ,							__SCREAMING_SNAKE_CASE = None       ,							__SCREAMING_SNAKE_CASE = False	):


											"""simple docstring"""





											if already_has_special_tokens:
																	return super().get_special_tokens_mask(
																	    token_ids_a=__SCREAMING_SNAKE_CASE       ,							token_ids_a=__SCREAMING_SNAKE_CASE       ,							already_has_special_tokens=__SCREAMING_SNAKE_CASE	)

											if token_ids_a is None:
																	return [1] + ([0] * len(__SCREAMING_SNAKE_CASE	)) + [1]
											return [1] + ([0] * len(__SCREAMING_SNAKE_CASE	)) + [1, 1] + ([0] * len(__SCREAMING_SNAKE_CASE	)) + [1]






					def 			_snake_case					(     self       ,							__SCREAMING_SNAKE_CASE       ,							__SCREAMING_SNAKE_CASE = None	):


											"""simple docstring"""





											lowercase_			:  Dict									= [self.sep_token_id]
											lowercase_			:  Optional[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 			_snake_case					(     self       ,							__SCREAMING_SNAKE_CASE       ,							__SCREAMING_SNAKE_CASE=False       ,							**__SCREAMING_SNAKE_CASE	):


											"""simple docstring"""





											lowercase_			:  int									= kwargs.pop('''add_prefix_space'''       ,							self.add_prefix_space	)
											if (is_split_into_words or add_prefix_space) and (len(__SCREAMING_SNAKE_CASE	) > 0 and not text[0].isspace()):
																	lowercase_			:  Union[str, Any]									= ''' ''' + text
											return (text, kwargs)





'''simple docstring'''







from __future__ import annotations

from queue import Queue






class 				lowerCAmelCase__     :






					def __init__(     self	):


											"""simple docstring"""





											lowercase_			:  dict[int, list[int]]									= {}






					def 			_snake_case					(     self	):


											"""simple docstring"""





											for i in self.vertices:
																	print(__SCREAMING_SNAKE_CASE       ,							''' : '''       ,							''' -> '''.join([str(__SCREAMING_SNAKE_CASE	) for j in self.vertices[i]]	)	)






					def 			_snake_case					(     self       ,							__SCREAMING_SNAKE_CASE       ,							__SCREAMING_SNAKE_CASE	):


											"""simple docstring"""





											if from_vertex in self.vertices:
																	self.vertices[from_vertex].append(__SCREAMING_SNAKE_CASE	)
											else:
																	lowercase_			:  Optional[Any]									= [to_vertex]






					def 			_snake_case					(     self       ,							__SCREAMING_SNAKE_CASE	):


											"""simple docstring"""





											lowercase_			:  List[Any]									= set()

											# create a first in first out queue to store all the vertices for BFS
											lowercase_			:  Queue									= Queue()

											# mark the source node as visited and enqueue it
											visited.add(__SCREAMING_SNAKE_CASE	)
											queue.put(__SCREAMING_SNAKE_CASE	)

											while not queue.empty():
																	lowercase_			:  List[Any]									= queue.get()

																	# loop through all adjacent vertex and enqueue it if not yet visited
																	for adjacent_vertex in self.vertices[vertex]:
																							if adjacent_vertex not in visited:
																													queue.put(__SCREAMING_SNAKE_CASE	)
																													visited.add(__SCREAMING_SNAKE_CASE	)
											return visited


if __name__ == "__main__":
							from doctest import testmod

							testmod(verbose=True)

							_lowercase				:						Optional[int]												= Graph()
							g.add_edge(0, 1)
							g.add_edge(0, 2)
							g.add_edge(1, 2)
							g.add_edge(2, 0)
							g.add_edge(2, 3)
							g.add_edge(3, 3)

							g.print_graph()
							# 0  :  1 -> 2
							# 1  :  2
							# 2  :  0 -> 3
							# 3  :  3

							assert sorted(g.bfs(2)) == [0, 1, 2, 3]



