


'''simple docstring'''






from typing import List, Optional, Tuple

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_herbert import HerbertTokenizer


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

__A	:	Any     =     {'vocab_file': 'vocab.json', 'merges_file': 'merges.txt', 'tokenizer_file': 'tokenizer.json'}

__A	:	Any     =     {
    'vocab_file': {
        'allegro/herbert-base-cased': 'https://huggingface.co/allegro/herbert-base-cased/resolve/main/vocab.json'
    },
    'merges_file': {
        'allegro/herbert-base-cased': 'https://huggingface.co/allegro/herbert-base-cased/resolve/main/merges.txt'
    },
}

__A	:	str     =     {'allegro/herbert-base-cased': 514}
__A	:	Any     =     {}
class 						__UpperCamelCase	(						lowercase__							):
							lowercase			:		Dict   		=  VOCAB_FILES_NAMES
							lowercase			:		Union[str, Any]   		=  PRETRAINED_VOCAB_FILES_MAP
							lowercase			:		Optional[Any]   		=  PRETRAINED_INIT_CONFIGURATION
							lowercase			:		str   		=  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							lowercase			:		Union[str, Any]   		=  HerbertTokenizer





							def __init__(  self		:int  ,_UpperCamelCase		:Dict=None  ,_UpperCamelCase		:str=None  ,_UpperCamelCase		:str=None  ,_UpperCamelCase		:List[Any]="<s>"  ,_UpperCamelCase		:Union[str, Any]="<unk>"  ,_UpperCamelCase		:Union[str, Any]="<pad>"  ,_UpperCamelCase		:Union[str, Any]="<mask>"  ,_UpperCamelCase		:List[str]="</s>"  ,**_UpperCamelCase		:List[Any]  ,):
									super().__init__(
									    _UpperCamelCase  ,_UpperCamelCase  ,tokenizer_file=_UpperCamelCase  ,cls_token=_UpperCamelCase  ,unk_token=_UpperCamelCase  ,pad_token=_UpperCamelCase  ,mask_token=_UpperCamelCase  ,sep_token=_UpperCamelCase  ,**_UpperCamelCase  ,)





							def 		a__   (  self		:List[Any]  ,_UpperCamelCase		:List[int]  ,_UpperCamelCase		:Optional[List[int]] = None			):
									snake_case_		:							Dict			       =						[self.cls_token_id]
									snake_case_		:							Any			       =						[self.sep_token_id]
									if token_ids_a is None:
											return cls + token_ids_a + sep

									return cls + token_ids_a + sep + token_ids_a + sep





							def 		a__   (  self		:Optional[Any]  ,_UpperCamelCase		:List[int]  ,_UpperCamelCase		:Optional[List[int]] = None  ,_UpperCamelCase		:bool = False			):







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

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





							def 		a__   (  self		:List[str]  ,_UpperCamelCase		:List[int]  ,_UpperCamelCase		:Optional[List[int]] = None			):
									snake_case_		:							Optional[int]			       =						[self.sep_token_id]
									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 		a__   (  self		:Optional[Any]  ,_UpperCamelCase		:str  ,_UpperCamelCase		:Optional[str] = None			):
									snake_case_		:							int			       =						self._tokenizer.model.save(_UpperCamelCase  ,name=_UpperCamelCase			)
									return tuple(_UpperCamelCase			)



'''simple docstring'''






from __future__ import annotations

import os
from collections.abc import Mapping

__A	:	str     =     tuple[int, int]
class 						__UpperCamelCase	:





							def __init__(  self		:Union[str, Any]  ,_UpperCamelCase		:set[int]  ,_UpperCamelCase		:Mapping[EdgeT, int]			):
									snake_case_		:							set[int]			       =						vertices
									snake_case_		:							dict[EdgeT, int]			       =						{
									    (min(_UpperCamelCase			), max(_UpperCamelCase			)): weight for edge, weight in edges.items()
									}





							def 		a__   (  self		:Tuple  ,_UpperCamelCase		:EdgeT  ,_UpperCamelCase		:int			):
									self.vertices.add(edge[0]			)
									self.vertices.add(edge[1]			)
									snake_case_		:							str			       =						weight





							def 		a__   (  self		:Tuple			):
									snake_case_		:							Graph			       =						Graph({min(self.vertices			)}  ,{}			)
									snake_case_		:							EdgeT
									snake_case_		:							int
									snake_case_		:							EdgeT
									snake_case_		:							int

									while len(subgraph.vertices			) < len(self.vertices			):
											snake_case_		:							int			       =						max(self.edges.values()			) + 1
											for edge, weight in self.edges.items():
													if (edge[0] in subgraph.vertices) ^ (edge[1] in subgraph.vertices):
															if weight < min_weight:
																	snake_case_		:							Dict			       =						edge
																	snake_case_		:							Dict			       =						weight

											subgraph.add_edge(_UpperCamelCase  ,_UpperCamelCase			)

									return subgraph





def      UpperCAmelCase      (		lowerCamelCase_  :str = "p107_network.txt" ):







		'''simple docstring'''
		snake_case_		:							str			       =						os.path.abspath(os.path.dirname(lowerCamelCase_ ) )
		snake_case_		:							str			       =						os.path.join(lowerCamelCase_				,      lowerCamelCase_ )
		snake_case_		:							dict[EdgeT, int]			       =						{}
		snake_case_		:							list[str]
		snake_case_		:							int
		snake_case_		:							int

		with open(lowerCamelCase_ ) as f:
				snake_case_		:							Optional[int]			       =						f.read().strip().split("""\n""" )

		snake_case_		:							Any			       =						[line.split(""",""" ) for line in data]

		for edgea in range(1				,      len(lowerCamelCase_ ) ):
				for edgea in range(lowerCamelCase_ ):
						if adjaceny_matrix[edgea][edgea] != "-":
								snake_case_		:							str			       =						int(adjaceny_matrix[edgea][edgea] )

		snake_case_		:							Graph			       =						Graph(set(range(len(lowerCamelCase_ ) ) )				,      lowerCamelCase_ )

		snake_case_		:							Graph			       =						graph.prims_algorithm()

		snake_case_		:							int			       =						sum(graph.edges.values() )
		snake_case_		:							int			       =						sum(subgraph.edges.values() )

		return initial_total - optimal_total


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