code: def get_unique_named_variable_scope(base_name):
      """Returns a variable scope with a unique name.
  
      Args:
          base_name (str): The base name to uniquified.
  
      Returns:
          An instance of :tf_main:`variable_scope <variable_scope>`.
  
      Example:
  
          .. code-block:: python
  
              vs = get_unique_named_variable_scope('base_name')
              with tf.variable_scope(vs):
                  ....
      """
      with tf.variable_scope(None, default_name=base_name) as vs:
          return vs
  
imports: import tensorflow
label_desc: Use image node_id 1 for calling a global function with example usage: get_unique_named_variable_scope(base_name) and returns: vs