



import copy
import random

from transformers import CLIPTokenizer

class       snake_case__(_lowercase			):

					"""simple docstring"""






					def __init__(							self					:	List[str]      ,   *SCREAMING_SNAKE_CASE					:	List[Any]      ,   **SCREAMING_SNAKE_CASE					:	List[Any]     ):
									super().__init__(*UpperCamelCase__      ,   **UpperCamelCase__     )
									lowercase__     :    Any													=     {}







					def  snake_case     (							self					:	Union[str, Any]      ,   SCREAMING_SNAKE_CASE					:	Optional[Any]      ,   *SCREAMING_SNAKE_CASE					:	Union[str, Any]      ,   **SCREAMING_SNAKE_CASE					:	Union[str, Any]     ):
									lowercase__     :    str													=     super().add_tokens(UpperCamelCase__      ,   *UpperCamelCase__      ,   **UpperCamelCase__     )
									if num_added_tokens == 0:
													raise ValueError(
													    f"""The tokenizer already contains the token {placeholder_token}. Please pass a different"""
													    " `placeholder_token` that is not already in the tokenizer."     )







					def  snake_case     (							self					:	Optional[Any]      ,   SCREAMING_SNAKE_CASE					:	Optional[Any]      ,   *SCREAMING_SNAKE_CASE					:	List[Any]      ,   SCREAMING_SNAKE_CASE					:	Dict=1      ,   **SCREAMING_SNAKE_CASE					:	int     ):
									lowercase__     :    Dict													=     []
									if num_vec_per_token == 1:
													self.try_adding_tokens(UpperCamelCase__      ,   *UpperCamelCase__      ,   **UpperCamelCase__     )
													output.append(UpperCamelCase__     )
									else:
													lowercase__     :    Any													=     []
													for i in range(UpperCamelCase__     ):
																	lowercase__     :    Dict													=     placeholder_token + f"""_{i}"""
																	self.try_adding_tokens(UpperCamelCase__      ,   *UpperCamelCase__      ,   **UpperCamelCase__     )
																	output.append(UpperCamelCase__     )
        # handle cases where there is a new placeholder token that contains the current placeholder token but is larger
									for token in self.token_map:
													if token in placeholder_token:
																	raise ValueError(
																	    f"""The tokenizer already has placeholder token {token} that can get confused with"""
																	    f""" {placeholder_token}keep placeholder tokens independent"""     )
									lowercase__     :    Tuple													=     output







					def  snake_case     (							self					:	Optional[Any]      ,   SCREAMING_SNAKE_CASE					:	Tuple      ,   SCREAMING_SNAKE_CASE					:	Optional[Any]=False      ,   SCREAMING_SNAKE_CASE					:	Any=1.0     ):
									if isinstance(UpperCamelCase__      ,   UpperCamelCase__     ):
													lowercase__     :    int													=     []
													for i in range(len(UpperCamelCase__     )     ):
																	output.append(self.replace_placeholder_tokens_in_text(text[i]      ,   vector_shuffle=UpperCamelCase__     )     )
													return output
									for placeholder_token in self.token_map:
													if placeholder_token in text:
																	lowercase__     :    Optional[Any]													=     self.token_map[placeholder_token]
																	lowercase__     :    Tuple													=     tokens[: 1 + int(len(UpperCamelCase__     ) * prop_tokens_to_load     )]
																	if vector_shuffle:
																					lowercase__     :    List[str]													=     copy.copy(UpperCamelCase__     )
																					random.shuffle(UpperCamelCase__     )
																	lowercase__     :    Optional[int]													=     text.replace(UpperCamelCase__      ,   " ".join(UpperCamelCase__     )     )
									return text







					def __call__(							self					:	str      ,   SCREAMING_SNAKE_CASE					:	Optional[Any]      ,   *SCREAMING_SNAKE_CASE					:	List[Any]      ,   SCREAMING_SNAKE_CASE					:	str=False      ,   SCREAMING_SNAKE_CASE					:	Optional[int]=1.0      ,   **SCREAMING_SNAKE_CASE					:	Optional[Any]     ):
									return super().__call__(
									    self.replace_placeholder_tokens_in_text(
									        UpperCamelCase__      ,   vector_shuffle=UpperCamelCase__      ,   prop_tokens_to_load=UpperCamelCase__     )      ,   *UpperCamelCase__      ,   **UpperCamelCase__      ,   )







					def  snake_case     (							self					:	Dict      ,   SCREAMING_SNAKE_CASE					:	Union[str, Any]      ,   *SCREAMING_SNAKE_CASE					:	str      ,   SCREAMING_SNAKE_CASE					:	Tuple=False      ,   SCREAMING_SNAKE_CASE					:	Tuple=1.0      ,   **SCREAMING_SNAKE_CASE					:	List[Any]     ):
									return super().encode(
									    self.replace_placeholder_tokens_in_text(
									        UpperCamelCase__      ,   vector_shuffle=UpperCamelCase__      ,   prop_tokens_to_load=UpperCamelCase__     )      ,   *UpperCamelCase__      ,   **UpperCamelCase__      ,   )












'''simple docstring'''







from __future__ import annotations

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

class _lowercase	:




							def __init__(							self:				Tuple			,							UpperCamelCase__:				dict[str, list[str]]			,							UpperCamelCase__:				str     ):
														lowerCamelCase__					:	str         =       graph
														# mapping node to its parent in resulting breadth first tree
														lowerCamelCase__					:	dict[str, str | None]         =       {}
														lowerCamelCase__					:	Any         =       source_vertex




							def 		lowerCamelCase_				(							self:				List[str]     ):
														lowerCamelCase__					:	List[str]         =       {self.source_vertex}
														lowerCamelCase__					:	List[str]         =       None
														lowerCamelCase__					:	Tuple         =       [self.source_vertex]  # first in first out queue

														while queue:
																					lowerCamelCase__					:	Tuple         =       queue.pop(0     )
																					for adjacent_vertex in self.graph[vertex]:
																												if adjacent_vertex not in visited:
																																			visited.add(UpperCamelCase__     )
																																			lowerCamelCase__					:	List[str]         =       vertex
																																			queue.append(UpperCamelCase__     )




							def 		lowerCamelCase_				(							self:				str			,							UpperCamelCase__:				str     ):
														if target_vertex == self.source_vertex:
																					return self.source_vertex

														lowerCamelCase__					:	Tuple         =       self.parent.get(UpperCamelCase__     )
														if target_vertex_parent is None:
																					lowerCamelCase__					:	int         =       (
																					    F'''No path from vertex: {self.source_vertex} to vertex: {target_vertex}'''
																					)
																					raise ValueError(UpperCamelCase__     )

														return self.shortest_path(UpperCamelCase__     ) + F'''->{target_vertex}'''


if __name__ == "__main__":
			_A	:			int         =Graph(graph, '''G''')
			g.breath_first_search()
			print(g.shortest_path('''D'''))
			print(g.shortest_path('''G'''))
			print(g.shortest_path('''Foo'''))

