




"""simple docstring"""






from __future__ import annotations

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




class   a__			:





						def __init__(							self      :	Union[str, Any]     ,a__      :	dict[str, list[str]]     ,a__      :	str)						->       None:




											"""simple docstring"""







											_lowerCAmelCase:Optional[int]									=  graph
											# mapping node to its parent in resulting breadth first tree
											_lowerCAmelCase:dict[str, str | None]									=  {}
											_lowerCAmelCase:str									=  source_vertex





						def       __UpperCamelCase     (							self      :	Union[str, Any])						->       None:




											"""simple docstring"""







											_lowerCAmelCase:Any									=  {self.source_vertex}
											_lowerCAmelCase:Tuple									=  None
											_lowerCAmelCase:str									=  [self.source_vertex]  # first in first out queue

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







						def       __UpperCamelCase     (							self      :	Dict     ,a__      :	str)						->       str:




											"""simple docstring"""







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

											_lowerCAmelCase:Optional[Any]									=  self.parent.get(a__)
											if target_vertex_parent is None:
																_lowerCAmelCase:List[Any]									=  (
																    F'No path from vertex: {self.source_vertex} to vertex: {target_vertex}'
																)
																raise ValueError(a__)

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


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












"""simple docstring"""






from dataclasses import dataclass
from typing import List, Optional, Union

import numpy as np
import torch

from ...utils import BaseOutput, OptionalDependencyNotAvailable, is_torch_available, is_transformers_available




@dataclass
class   a__			(       UpperCamelCase_  ):
						snake_case__             = 42


try:
				if not (is_transformers_available() and is_torch_available()):
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				from ...utils.dummy_torch_and_transformers_objects import *  # noqa F403
else:
				from .pipeline_text_to_video_synth import TextToVideoSDPipeline
				from .pipeline_text_to_video_synth_imgaimg import VideoToVideoSDPipeline  # noqa: F401
				from .pipeline_text_to_video_zero import TextToVideoZeroPipeline






