




import unittest

from transformers import is_torch_available, load_tool

from .test_tools_common import ToolTesterMixin


if is_torch_available():
  import torch
class 							__lowercase   (			unittest.TestCase	,		a__    ):



     def 				__magic_name__		(  self   :							int       ):
       a_		    =  load_tool('''speech-to-text'''       )
       self.tool.setup()



     def 				__magic_name__		(  self   :							Optional[int]       ):
       a_		    =  self.tool(torch.ones(3_0_0_0       )       )
       self.assertEqual(lowercase__      ,		''' you'''       )



     def 				__magic_name__		(  self   :							Dict       ):
       a_		    =  self.tool(audio=torch.ones(3_0_0_0       )       )
       self.assertEqual(lowercase__      ,		''' you'''       )






def 				UpperCAmelCase__  (							_A      ,      _A			):






  """simple docstring"""


  if not root or root not in binary_tree_mirror_dictionary:
    return
  a_    , a_		    =  binary_tree_mirror_dictionary[root][:2]
  a_		    =  [right_child, left_child]
  binary_tree_mirror_dict(_A      ,      _A			)
  binary_tree_mirror_dict(_A      ,      _A			)






def 				UpperCAmelCase__  (							_A      ,      _A = 1			):






  """simple docstring"""


  if not binary_tree:
    raise ValueError('''binary tree cannot be empty'''			)
  if root not in binary_tree:
    a_		    =  f"root {root} is not present in the binary_tree"
    raise ValueError(_A			)
  a_		    =  dict(_A			)
  binary_tree_mirror_dict(_A      ,      _A			)
  return binary_tree_mirror_dictionary


if __name__ == "__main__":
  UpperCamelCase__       				=	{1: [2, 3], 2: [4, 5], 3: [6, 7], 7: [8, 9]}
  print(F"""Binary tree: {binary_tree}""")
  UpperCamelCase__       				=	binary_tree_mirror(binary_tree, 5)
  print(F"""Binary tree mirror: {binary_tree_mirror_dictionary}""")
