





'''simple docstring'''




import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ....tokenization_utils_fast import PreTrainedTokenizerFast
from ....utils import logging
from .tokenization_retribert import RetriBertTokenizer


__UpperCAmelCase			    =    logging.get_logger(__name__)

__UpperCAmelCase			    =    {"""vocab_file""": """vocab.txt""", """tokenizer_file""": """tokenizer.json"""}

__UpperCAmelCase			    =    {
    """vocab_file""": {
        """yjernite/retribert-base-uncased""": (
            """https://huggingface.co/yjernite/retribert-base-uncased/resolve/main/vocab.txt"""
        ),
    },
    """tokenizer_file""": {
        """yjernite/retribert-base-uncased""": (
            """https://huggingface.co/yjernite/retribert-base-uncased/resolve/main/tokenizer.json"""
        ),
    },
}

__UpperCAmelCase			    =    {
    """yjernite/retribert-base-uncased""": 512,
}


__UpperCAmelCase			    =    {
    """yjernite/retribert-base-uncased""": {"""do_lower_case""": True},
}




class 			UpperCamelCase__ ( __SCREAMING_SNAKE_CASE       ):




					"""simple docstring"""
					SCREAMING_SNAKE_CASE__            =     VOCAB_FILES_NAMES
					SCREAMING_SNAKE_CASE__            =     PRETRAINED_VOCAB_FILES_MAP
					SCREAMING_SNAKE_CASE__            =     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					SCREAMING_SNAKE_CASE__            =     PRETRAINED_INIT_CONFIGURATION
					SCREAMING_SNAKE_CASE__            =     RetriBertTokenizer
					SCREAMING_SNAKE_CASE__            =     ['''input_ids''', '''attention_mask''']


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

							'''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_	,		)

							SCREAMING_SNAKE_CASE      :							List[Any]						=       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
							):
									SCREAMING_SNAKE_CASE      :							Dict						=       getattr(UpperCAmelCase_	,		normalizer_state.pop("""type"""		)		)
									SCREAMING_SNAKE_CASE      :							int						=       do_lower_case
									SCREAMING_SNAKE_CASE      :							int						=       strip_accents
									SCREAMING_SNAKE_CASE      :							List[str]						=       tokenize_chinese_chars
									SCREAMING_SNAKE_CASE      :							Tuple						=       normalizer_class(**UpperCAmelCase_		)

							SCREAMING_SNAKE_CASE      :							Any						=       do_lower_case


					def lowerCamelCase_       (		self							:       List[str]	,		lowerCamelCase_							:       Dict	,		lowerCamelCase_							:       Optional[Any]=None		):

							'''simple docstring'''



							SCREAMING_SNAKE_CASE      :							Optional[Any]						=       [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							:       Dict	,		lowerCamelCase_							:       List[int]	,		lowerCamelCase_							:       Optional[List[int]] = None		):

							'''simple docstring'''



							SCREAMING_SNAKE_CASE      :							Tuple						=       [self.sep_token_id]
							SCREAMING_SNAKE_CASE      :							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		) * [0] + len(token_ids_a + sep		) * [1]



					def lowerCamelCase_       (		self							:       Tuple	,		lowerCamelCase_							:       str	,		lowerCamelCase_							:       Optional[str] = None		):

							'''simple docstring'''



							SCREAMING_SNAKE_CASE      :							Tuple						=       self._tokenizer.model.save(UpperCAmelCase_	,		name=UpperCAmelCase_		)
							return tuple(UpperCAmelCase_		)










from collections import defaultdict

from graphs.minimum_spanning_tree_prims import prisms_algorithm as mst





def      lowerCAmelCase_ (       )     ->		Optional[int]:







  """simple docstring"""





  lowerCamelCase__  ,					lowerCamelCase__:      int			  =9, 14  # noqa: F841
  lowerCamelCase__:      List[Any]			  =[
      [0, 1, 4],
      [0, 7, 8],
      [1, 2, 8],
      [7, 8, 7],
      [7, 6, 1],
      [2, 8, 2],
      [8, 6, 6],
      [2, 3, 7],
      [2, 5, 4],
      [6, 5, 2],
      [3, 5, 14],
      [3, 4, 9],
      [5, 4, 10],
      [1, 7, 11],
  ]

  lowerCamelCase__:      List[str]			  =defaultdict(__a		)
  for nodea, nodea, cost in edges:
    adjancency[nodea].append([nodea, cost]		)
    adjancency[nodea].append([nodea, cost]		)

  lowerCamelCase__:      List[str]			  =mst(__a		)

  lowerCamelCase__:      Union[str, Any]			  =[
      [7, 6, 1],
      [2, 8, 2],
      [6, 5, 2],
      [0, 1, 4],
      [2, 5, 4],
      [2, 3, 7],
      [0, 7, 8],
      [3, 4, 9],
  ]

  for answer in expected:
    lowerCamelCase__:      Optional[int]			  =tuple(answer[:2]		)
    lowerCamelCase__:      List[Any]			  =tuple(edge[::-1]		)
    assert edge in result or reverse in result

