code: def test_names(self, opt_name):
      hparams = hparams_lib.create_hparams("basic_1")
      optimize.ConditionalOptimizer(opt_name, 0.1, hparams)
  
file_path: tensor2tensor/tensor2tensor/utils/optimize_test.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from absl.testing import parameterized
  from tensor2tensor.utils import hparams_lib
  from tensor2tensor.utils import optimize
  import tensorflow.compat.v1
label_desc: Use image node_id 1 for calling the OptimizeTest obj's underlying member method code with example usage: obj.test_names(opt_name) without return types