human
What is a the Python code you requested given the following:
Complete the below
def class_scope(func):

    ''''A decorator which wraps a function with a name_scope: "{class_name}_{method_name}".
    The "{class_name}" is either ``cls.name`` or simply the class name.
    It helps enhance TensorBoard graph visualization by grouping operators.
    This is just syntactic sugar to prevent writing: with
    ``tf.name_scope(...)`` in each method.'
    '''
assistant
#Here is the Python code you requested.
    def get_name_scope_name():
        if (get_tf_version_number() > 1.2):
            return tf.get_default_graph().get_name_scope()
        else:
            g = tf.get_default_graph()
            s = 'RANDOM_STR_ABCDEFG'
            unique = g.unique_name(s)
            scope = unique[:(- len(s))].rstrip('/')
            return scope
    @wraps(func)
    def _impl(self, *args, **kwargs):
        distr_name = self.name
        if (distr_name is None):
            distr_name = self.__class__.__name__
        if (distr_name not in get_name_scope_name()):
            with tf.name_scope(((distr_name + '_') + func.__name__)):
                return func(self, *args, **kwargs)
        else:
            return func(self, *args, **kwargs)
    return _impl