



from __future__ import annotations

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


class      __lowerCAmelCase     :
					"""simple docstring"""






					def __init__(     self					:       List[Any]				,					_snake_case					:       dict[str, list[str]]				,					_snake_case					:       str					):






								"""simple docstring"""


								A__       =    graph
								# mapping node to its parent in resulting breadth first tree
								A__       =    {}
								A__       =    source_vertex



					def     _a							(     self					:       Tuple					):






								"""simple docstring"""


								A__       =    {self.source_vertex}
								A__       =    None
								A__       =    [self.source_vertex]  # first in first out queue

								while queue:
											A__       =    queue.pop(0					)
											for adjacent_vertex in self.graph[vertex]:
														if adjacent_vertex not in visited:
																	visited.add(_snake_case					)
																	A__       =    vertex
																	queue.append(_snake_case					)



					def     _a							(     self					:       str				,					_snake_case					:       str					):






								"""simple docstring"""


								if target_vertex == self.source_vertex:
											return self.source_vertex

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

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


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









from typing import Dict

from .base import GenericTensor, Pipeline


class      __lowerCAmelCase     (		UpperCAmelCase_      ):
					"""simple docstring"""






					def     _a							(     self					:       Any				,					_snake_case					:       str=None				,					_snake_case					:       Dict=None				,					_snake_case					:       Any=None				,					**_snake_case					:       str					):






								"""simple docstring"""


								if tokenize_kwargs is None:
											A__       =    {}

								if truncation is not None:
											if "truncation" in tokenize_kwargs:
														raise ValueError(
														    'truncation parameter defined twice (given as keyword argument as well as in tokenize_kwargs)'					)
											A__       =    truncation

								A__       =    tokenize_kwargs

								A__       =    {}
								if return_tensors is not None:
											A__       =    return_tensors

								return preprocess_params, {}, postprocess_params



					def     _a							(     self					:       Any				,					_snake_case					:       Dict				,					**_snake_case					:       Optional[Any]					):






								"""simple docstring"""


								A__       =    self.framework
								A__       =    self.tokenizer(_snake_case				,					return_tensors=_snake_case				,					**_snake_case					)
								return model_inputs



					def     _a							(     self					:       List[Any]				,					_snake_case					:       Dict					):






								"""simple docstring"""


								A__       =    self.model(**_snake_case					)
								return model_outputs



					def     _a							(     self					:       Optional[Any]				,					_snake_case					:       List[Any]				,					_snake_case					:       str=False					):






								"""simple docstring"""


								if return_tensors:
											return model_outputs[0]
								if self.framework == "pt":
											return model_outputs[0].tolist()
								elif self.framework == "tf":
											return model_outputs[0].numpy().tolist()



					def __call__(     self					:       Dict				,					*_snake_case					:       int				,					**_snake_case					:       List[str]					):






								"""simple docstring"""


								return super().__call__(*_snake_case				,					**_snake_case					)




