





from __future__ import annotations

__lowerCamelCase :  Tuple										=  {
    """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 ,							A_ ,							A_     ):
       '''simple docstring'''




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





      def  __UpperCamelCase(				self     ):
       '''simple docstring'''




       UpperCamelCase			:      Dict 			=     {self.source_vertex}
       UpperCamelCase			:      Union[str, Any] 			=     None
       UpperCamelCase			:      List[Any] 			=     [self.source_vertex]  # first in first out queue

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





      def  __UpperCamelCase(				self ,							A_     ):
       '''simple docstring'''




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

       UpperCamelCase			:      Any 			=     self.parent.get(A_     )
       if target_vertex_parent is None:
        UpperCamelCase			:      List[str] 			=     (
            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__":
    __lowerCamelCase :  Tuple										=  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 Callable, Optional

from .. import Features
from ..packaged_modules.generator.generator import Generator
from .abc import AbstractDatasetInputStream



class       A__     ( __snake_case    ):





      def __init__(				self ,							A_ ,							A_ = None ,							A_ = None ,							A_ = False ,							A_ = False ,							A_ = None ,							A_ = None ,							**A_ ,							):
       '''simple docstring'''




       super().__init__(
           features=A_ ,							cache_dir=A_ ,							keep_in_memory=A_ ,							streaming=A_ ,							num_proc=A_ ,							**A_ ,							)
       UpperCamelCase			:      Optional[int] 			=     Generator(
           cache_dir=A_ ,							features=A_ ,							generator=A_ ,							gen_kwargs=A_ ,							**A_ ,							)





      def  __UpperCamelCase(				self     ):
       '''simple docstring'''




       if self.streaming:
        UpperCamelCase			:      Optional[Any] 			=     self.builder.as_streaming_dataset(split="train"     )
       # Build regular (map-style) dataset
       else:
        UpperCamelCase			:      Union[str, Any] 			=     None
        UpperCamelCase			:      Union[str, Any] 			=     None
        UpperCamelCase			:      List[Any] 			=     None
        UpperCamelCase			:      List[str] 			=     None

        self.builder.download_and_prepare(
            download_config=A_ ,							download_mode=A_ ,							verification_mode=A_ ,							base_path=A_ ,							num_proc=self.num_proc ,							)
        UpperCamelCase			:      int 			=     self.builder.as_dataset(
            split="train" ,							verification_mode=A_ ,							in_memory=self.keep_in_memory     )
       return dataset
