

_SCREAMING_SNAKE_CASE  :						List[str]         =    {
    "A": ["B", "C", "E"],
    "B": ["A", "D", "E"],
    "C": ["A", "F", "G"],
    "D": ["B"],
    "E": ["A", "B", "D"],
    "F": ["C"],
    "G": ["C"],
}
def        UpperCAmelCase_     (		_A   ,	_A   ,	_A       ):





     '''simple docstring'''




     SCREAMING_SNAKE_CASE__			=					set()
     # keep track of all the paths to be checked
     SCREAMING_SNAKE_CASE__			=					[[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
          SCREAMING_SNAKE_CASE__			=					queue.pop(0       )
          # get the last node from the path
          SCREAMING_SNAKE_CASE__			=					path[-1]
          if node not in explored:
               SCREAMING_SNAKE_CASE__			=					graph[node]
               # go through all neighbour nodes, construct a new path and
               # push it into the queue
               for neighbour in neighbours:
                    SCREAMING_SNAKE_CASE__			=					list(_A       )
                    new_path.append(_A       )
                    queue.append(_A       )
                    # return path if neighbour is goal
                    if neighbour == goal:
                         return new_path

            # mark node as explored
               explored.add(_A       )

    # in case there's no path between the 2 nodes
     return []
def        UpperCAmelCase_     (		_A   ,	_A   ,	_A       ):





     '''simple docstring'''




     if not graph or start not in graph or target not in graph:
          return -1
     if start == target:
          return 0
     SCREAMING_SNAKE_CASE__			=					[start]
     SCREAMING_SNAKE_CASE__			=					set(_A       )
     # Keep tab on distances from `start` node.
     SCREAMING_SNAKE_CASE__			=					{start: 0, target: -1}
     while queue:
          SCREAMING_SNAKE_CASE__			=					queue.pop(0       )
          if node == target:
               SCREAMING_SNAKE_CASE__			=					(
                   dist[node] if dist[target] == -1 else min(dist[target]   ,	dist[node]       )
               )
          for adjacent in graph[node]:
               if adjacent not in visited:
                    visited.add(_A       )
                    queue.append(_A       )
                    SCREAMING_SNAKE_CASE__			=					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





from typing import List

import datasets
from datasets.tasks import AudioClassification

from ..folder_based_builder import folder_based_builder


_SCREAMING_SNAKE_CASE  :						Optional[Any]         =    datasets.utils.logging.get_logger(__name__)






class  UpperCAmelCase__	( folder_based_builder.FolderBasedBuilderConfig ):






  """simple docstring"""


  a     =      None
  a     =      None






class  UpperCAmelCase__	( folder_based_builder.FolderBasedBuilder ):






  """simple docstring"""


  a     =      datasets.Audio()
  a     =      "audio"
  a     =      AudioFolderConfig
  a     =      42  # definition at the bottom of the script
  a     =      AudioClassification(audio_column="audio"		,  label_column="label" )



_SCREAMING_SNAKE_CASE  :						str         =    [
    '''.aiff''',
    '''.au''',
    '''.avr''',
    '''.caf''',
    '''.flac''',
    '''.htk''',
    '''.svx''',
    '''.mat4''',
    '''.mat5''',
    '''.mpc2k''',
    '''.ogg''',
    '''.paf''',
    '''.pvf''',
    '''.raw''',
    '''.rf64''',
    '''.sd2''',
    '''.sds''',
    '''.ircam''',
    '''.voc''',
    '''.w64''',
    '''.wav''',
    '''.nist''',
    '''.wavex''',
    '''.wve''',
    '''.xi''',
    '''.mp3''',
    '''.opus''',
]
_SCREAMING_SNAKE_CASE  :						List[Any]         =    AUDIO_EXTENSIONS


