



'''simple docstring'''

from typing import List, Optional, Tuple

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


__lowerCAmelCase									=   logging.get_logger(__name__)

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

__lowerCAmelCase									=   {
    '''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'''
    },
}

__lowerCAmelCase									=   {'''allegro/herbert-base-cased''': 514}
__lowerCAmelCase									=   {}

class 	__magic_name__						(    _UpperCamelCase   ):
							lowerCAmelCase       :    str   				=					VOCAB_FILES_NAMES
							lowerCAmelCase       :    Optional[int]   				=					PRETRAINED_VOCAB_FILES_MAP
							lowerCAmelCase       :    List[Any]   				=					PRETRAINED_INIT_CONFIGURATION
							lowerCAmelCase       :    str   				=					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							lowerCAmelCase       :    Any   				=					HerbertTokenizer







							def __init__(							self					:       Dict	,_UpperCAmelCase					:       Dict=None	,_UpperCAmelCase					:       int=None	,_UpperCAmelCase					:       List[Any]=None	,_UpperCAmelCase					:       Optional[int]="<s>"	,_UpperCAmelCase					:       str="<unk>"	,_UpperCAmelCase					:       Dict="<pad>"	,_UpperCAmelCase					:       List[Any]="<mask>"	,_UpperCAmelCase					:       Optional[int]="</s>"	,**_UpperCAmelCase					:       Union[str, 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 							__lowercase			(							self					:       str	,_UpperCAmelCase					:       List[int]	,_UpperCAmelCase					:       Optional[List[int]] = None		):
									_a     :      List[Any]        =							[self.cls_token_id]
									_a     :      Union[str, 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 							__lowercase			(							self					:       Optional[int]	,_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 							__lowercase			(							self					:       int	,_UpperCAmelCase					:       List[int]	,_UpperCAmelCase					:       Optional[List[int]] = None		):
									_a     :      Tuple        =							[self.sep_token_id]
									_a     :      str        =							[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 							__lowercase			(							self					:       List[str]	,_UpperCAmelCase					:       str	,_UpperCAmelCase					:       Optional[str] = None		):
									_a     :      Union[str, Any]        =							self._tokenizer.model.save(_UpperCAmelCase	,name=_UpperCAmelCase		)
									return tuple(_UpperCAmelCase		)









'''simple docstring'''

__lowerCAmelCase									=   {
    '''A''': ['''B''', '''C''', '''E'''],
    '''B''': ['''A''', '''D''', '''E'''],
    '''C''': ['''A''', '''F''', '''G'''],
    '''D''': ['''B'''],
    '''E''': ['''A''', '''B''', '''D'''],
    '''F''': ['''C'''],
    '''G''': ['''C'''],
}



def      __lowerCamelCase     (      lowerCAmelCase_						,			lowerCAmelCase_						,			lowerCAmelCase_  )			->      list[str]:
		_a     :      List[Any]        =							set()
		# keep track of all the paths to be checked
		_a     :      Any        =							[[start]]

		# return path if start is goal
		if start == goal:
				return [start]

		# keeps looping until all possible paths have been checked
		while queue:
				# pop the first path from the queue
				_a     :      Tuple        =							queue.pop(0  )
				# get the last node from the path
				_a     :      Tuple        =							path[-1]
				if node not in explored:
						_a     :      Optional[Any]        =							graph[node]
						# go through all neighbour nodes, construct a new path and
						# push it into the queue
						for neighbour in neighbours:
								_a     :      Any        =							list(lowerCAmelCase_  )
								new_path.append(lowerCAmelCase_  )
								queue.append(lowerCAmelCase_  )
								# return path if neighbour is goal
								if neighbour == goal:
										return new_path

            # mark node as explored
						explored.add(lowerCAmelCase_  )

    # in case there's no path between the 2 nodes
		return []



def      __lowerCamelCase     (      lowerCAmelCase_						,			lowerCAmelCase_						,			lowerCAmelCase_  )			->      int:
		if not graph or start not in graph or target not in graph:
				return -1
		if start == target:
				return 0
		_a     :      Optional[int]        =							[start]
		_a     :      Dict        =							set(lowerCAmelCase_  )
		# Keep tab on distances from `start` node.
		_a     :      Dict        =							{start: 0, target: -1}
		while queue:
				_a     :      List[str]        =							queue.pop(0  )
				if node == target:
						_a     :      Any        =							(
						    dist[node] if dist[target] == -1 else min(dist[target]						,			dist[node]  )
						)
				for adjacent in graph[node]:
						if adjacent not in visited:
								visited.add(lowerCAmelCase_  )
								queue.append(lowerCAmelCase_  )
								_a     :      Any        =							dist[node] + 1
		return dist[target]


if __name__ == "__main__":
							print(bfs_shortest_path(demo_graph, '''G''', '''D'''))  # returns ['G', 'C', 'A', 'B', 'D']
							print(bfs_shortest_path_distance(demo_graph, '''G''', '''D'''))  # returns 4




