code: def test_name_conversions(self):
      compile_metrics = CompileMetrics(
          metrics=["acc", "accuracy", "mse"],
          weighted_metrics=[],
      )
      y_true = np.array([[0.1, 0.2], [0.3, 0.4], [0.5, 0.6]])
      y_pred = np.array([[0.4, 0.1], [0.2, 0.6], [0.6, 0.1]])
      compile_metrics.build(y_true, y_pred)
      compile_metrics.update_state(y_true, y_pred, sample_weight=None)
      result = compile_metrics.result()
      self.assertIsInstance(result, dict)
      self.assertEqual(len(result), 3)
      self.assertAllClose(result["acc"], 0.333333)
      self.assertAllClose(result["accuracy"], 0.333333)
      self.assertTrue("mse" in result)
  
imports: import numpy
  from absl.testing import parameterized
  from keras import backend
  from keras import metrics
  from keras import metrics
  from keras import ops
  from keras import testing
  from keras.trainers.compile_utils import CompileLoss
  from keras.trainers.compile_utils import CompileMetrics
label_desc: Use image node_id 4 for calling the TestCompileMetrics obj's underlying member method code with example usage: obj.test_name_conversions() without return types