





def     lowercase__       (       __lowercase						:  dict    ,  __lowercase						:  int					)			->				List[str]:



       """simple docstring"""






       if not root or root not in binary_tree_mirror_dictionary:
              return
       __UpperCamelCase	,						__UpperCamelCase	=  binary_tree_mirror_dictionary[root][:2]
       __UpperCamelCase	=  [right_child, left_child]
       binary_tree_mirror_dict(__lowercase    ,  __lowercase					)
       binary_tree_mirror_dict(__lowercase    ,  __lowercase					)
def     lowercase__       (       __lowercase						:  dict    ,  __lowercase						:  int = 1					)			->				dict:



       """simple docstring"""






       if not binary_tree:
              raise ValueError('binary tree cannot be empty'					)
       if root not in binary_tree:
              __UpperCamelCase	=  F'''root {root} is not present in the binary_tree'''
              raise ValueError(__lowercase					)
       __UpperCamelCase	=  dict(__lowercase					)
       binary_tree_mirror_dict(__lowercase    ,  __lowercase					)
       return binary_tree_mirror_dictionary


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







'''simple docstring'''
a__							:							int			='''
# Transformers installation
! pip install transformers datasets evaluate
# To install from source instead of the last release, comment the command above and uncomment the following one.
# ! pip install git+https://github.com/huggingface/transformers.git
'''

a__							:							List[Any]			=[{'''type''': '''code''', '''content''': INSTALL_CONTENT}]
a__							:							Dict			={
    '''{processor_class}''': '''FakeProcessorClass''',
    '''{model_class}''': '''FakeModelClass''',
    '''{object_class}''': '''FakeObjectClass''',
}
