code: def testEvaluateSingleTensor(self):
      dump = test.mock.MagicMock()
  
      def fake_get_tensors(
          node_name, output_slot, debug_op, device_name=None
      ):
          del node_name, output_slot, debug_op, device_name  # Unused.
          return [np.array([[1.0, 2.0, 3.0]])]
  
      with test.mock.patch.object(
          dump, "get_tensors", side_effect=fake_get_tensors
      ):
          ev = evaluator.ExpressionEvaluator(dump)
          self.assertEqual(3, ev.evaluate("np.size(`a:0`)"))
  
          # Whitespace in backticks should be tolerated.
          self.assertEqual(3, ev.evaluate("np.size(` a:0 `)"))
  
imports: import numpy
  from tensorflow.python.debug.cli import evaluator
  from tensorflow.python.debug.lib import debug_data
  from tensorflow.python.framework import test_util
  from tensorflow.python.platform import test
label_desc: Use image node_id 1 for calling the EvaluatorTest obj's underlying member method code with example usage: obj.testEvaluateSingleTensor() and returns: list