


import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_distilbert import DistilBertTokenizer


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

A	:		Any    =       {'vocab_file': 'vocab.txt', 'tokenizer_file': 'tokenizer.json'}

A	:		Tuple    =       {
    'vocab_file': {
        'distilbert-base-uncased': 'https://huggingface.co/distilbert-base-uncased/resolve/main/vocab.txt',
        'distilbert-base-uncased-distilled-squad': (
            'https://huggingface.co/distilbert-base-uncased-distilled-squad/resolve/main/vocab.txt'
        ),
        'distilbert-base-cased': 'https://huggingface.co/distilbert-base-cased/resolve/main/vocab.txt',
        'distilbert-base-cased-distilled-squad': (
            'https://huggingface.co/distilbert-base-cased-distilled-squad/resolve/main/vocab.txt'
        ),
        'distilbert-base-german-cased': 'https://huggingface.co/distilbert-base-german-cased/resolve/main/vocab.txt',
        'distilbert-base-multilingual-cased': (
            'https://huggingface.co/distilbert-base-multilingual-cased/resolve/main/vocab.txt'
        ),
    },
    'tokenizer_file': {
        'distilbert-base-uncased': 'https://huggingface.co/distilbert-base-uncased/resolve/main/tokenizer.json',
        'distilbert-base-uncased-distilled-squad': (
            'https://huggingface.co/distilbert-base-uncased-distilled-squad/resolve/main/tokenizer.json'
        ),
        'distilbert-base-cased': 'https://huggingface.co/distilbert-base-cased/resolve/main/tokenizer.json',
        'distilbert-base-cased-distilled-squad': (
            'https://huggingface.co/distilbert-base-cased-distilled-squad/resolve/main/tokenizer.json'
        ),
        'distilbert-base-german-cased': (
            'https://huggingface.co/distilbert-base-german-cased/resolve/main/tokenizer.json'
        ),
        'distilbert-base-multilingual-cased': (
            'https://huggingface.co/distilbert-base-multilingual-cased/resolve/main/tokenizer.json'
        ),
    },
}

A	:		Optional[Any]    =       {
    'distilbert-base-uncased': 5_1_2,
    'distilbert-base-uncased-distilled-squad': 5_1_2,
    'distilbert-base-cased': 5_1_2,
    'distilbert-base-cased-distilled-squad': 5_1_2,
    'distilbert-base-german-cased': 5_1_2,
    'distilbert-base-multilingual-cased': 5_1_2,
}


A	:		str    =       {
    'distilbert-base-uncased': {'do_lower_case': True},
    'distilbert-base-uncased-distilled-squad': {'do_lower_case': True},
    'distilbert-base-cased': {'do_lower_case': False},
    'distilbert-base-cased-distilled-squad': {'do_lower_case': False},
    'distilbert-base-german-cased': {'do_lower_case': False},
    'distilbert-base-multilingual-cased': {'do_lower_case': False},
}



class 							A   (	UpperCAmelCase__							):
					'''simple docstring'''






					A__      =			VOCAB_FILES_NAMES
					A__      =			PRETRAINED_VOCAB_FILES_MAP
					A__      =			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					A__      =			PRETRAINED_INIT_CONFIGURATION
					A__      =			['''input_ids''', '''attention_mask''']
					A__      =			DistilBertTokenizer

					def __init__(self   :						Optional[int]				, _UpperCAmelCase   :						Union[str, Any]=None				, _UpperCAmelCase   :						Optional[int]=None				, _UpperCAmelCase   :						int=True				, _UpperCAmelCase   :						Optional[int]="[UNK]"				, _UpperCAmelCase   :						Tuple="[SEP]"				, _UpperCAmelCase   :						List[Any]="[PAD]"				, _UpperCAmelCase   :						Union[str, Any]="[CLS]"				, _UpperCAmelCase   :						str="[MASK]"				, _UpperCAmelCase   :						Tuple=True				, _UpperCAmelCase   :						Dict=None				, **_UpperCAmelCase   :						Optional[int]				, )						->       Union[str, Any]:




							"""simple docstring"""


							super().__init__(
							    _UpperCAmelCase				, tokenizer_file=_UpperCAmelCase				, do_lower_case=_UpperCAmelCase				, unk_token=_UpperCAmelCase				, sep_token=_UpperCAmelCase				, pad_token=_UpperCAmelCase				, cls_token=_UpperCAmelCase				, mask_token=_UpperCAmelCase				, tokenize_chinese_chars=_UpperCAmelCase				, strip_accents=_UpperCAmelCase				, **_UpperCAmelCase				, )

							lowercase__					      =		json.loads(self.backend_tokenizer.normalizer.__getstate__()		)
							if (
							    normalizer_state.get("""lowercase"""				, _UpperCAmelCase		) != do_lower_case
							    or normalizer_state.get("""strip_accents"""				, _UpperCAmelCase		) != strip_accents
							    or normalizer_state.get("""handle_chinese_chars"""				, _UpperCAmelCase		) != tokenize_chinese_chars
							):
									lowercase__					      =		getattr(_UpperCAmelCase				, normalizer_state.pop("""type"""		)		)
									lowercase__					      =		do_lower_case
									lowercase__					      =		strip_accents
									lowercase__					      =		tokenize_chinese_chars
									lowercase__					      =		normalizer_class(**_UpperCAmelCase		)

							lowercase__					      =		do_lower_case

					def   lowerCamelCase__					(self   :						Any				, _UpperCAmelCase   :						str				, _UpperCAmelCase   :						int=None		)						->       Dict:




							"""simple docstring"""


							lowercase__					      =		[self.cls_token_id] + token_ids_a + [self.sep_token_id]

							if token_ids_a:
									output += token_ids_a + [self.sep_token_id]

							return output

					def   lowerCamelCase__					(self   :						Any				, _UpperCAmelCase   :						List[int]				, _UpperCAmelCase   :						Optional[List[int]] = 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		) * [0] + len(token_ids_a + sep		) * [1]


					def   lowerCamelCase__					(self   :						int				, _UpperCAmelCase   :						str				, _UpperCAmelCase   :						Optional[str] = None		)						->       Tuple[str]:




							"""simple docstring"""


							lowercase__					      =		self._tokenizer.model.save(_UpperCAmelCase				, name=_UpperCAmelCase		)
							return tuple(_UpperCAmelCase		)





def 			UpperCamelCase (     __magic_name__					:							str					)       ->  List[str]:  # noqa: E741
		"""simple docstring"""




		lowercase__					      =		len(__magic_name__					)
		lowercase__					      =		0
		lowercase__					      =		[0] * n
		lowercase__					      =		[False] * n
		lowercase__					      =		[False] * n

		def dfs(__magic_name__					:							str   ,   __magic_name__					:							List[str]   ,   __magic_name__					:							str   ,   __magic_name__					:							Any					):
				if parent == root:
						out_edge_count += 1
				lowercase__					      =		True
				lowercase__					      =		at

				for to in l[at]:
						if to == parent:
								pass
						elif not visited[to]:
								lowercase__					      =		dfs(__magic_name__   ,   __magic_name__   ,   __magic_name__   ,   __magic_name__					)
								lowercase__					      =		min(low[at]   ,   low[to]					)

								# AP found via bridge
								if at < low[to]:
										lowercase__					      =		True
								# AP found via cycle
								if at == low[to]:
										lowercase__					      =		True
						else:
								lowercase__					      =		min(low[at]   ,   __magic_name__					)
				return out_edge_count

		for i in range(__magic_name__					):
				if not visited[i]:
						lowercase__					      =		0
						lowercase__					      =		dfs(__magic_name__   ,   __magic_name__   ,   -1   ,   __magic_name__					)
						lowercase__					      =		out_edge_count > 1

		for x in range(len(__magic_name__					)					):
				if is_art[x] is True:
						print(__magic_name__					)


# Adjacency list of graph
A	:		List[str]    =       {
    0: [1, 2],
    1: [0, 2],
    2: [0, 1, 3, 5],
    3: [2, 4],
    4: [3],
    5: [2, 6, 8],
    6: [5, 7],
    7: [6, 8],
    8: [5, 7],
}







compute_ap(data)

