code: def test_class_method_name_scope(self):
      class MyRelu(object):
          @tf_utils.class_method_name_scope
          def output(self):
              return tf.Variable(0, name="weights")
  
      variable = MyRelu().output()
      self.assertEqual(variable.name, "MyRelu/weights:0")
  
imports: import pytest
  import numpy
  import tensorflow
  from tensorflow.errors import FailedPreconditionError
  from neupy import init
  from neupy.utils import tf_utils, asfloat
  from base import BaseTestCase
label_desc: Use image node_id 7 for calling the TFUtilsTestCase obj's underlying member method code with example usage: obj.test_class_method_name_scope() and returns: tf