code: def testEvaluateExpressionWithInvalidDebugTensorName(self):
      dump = test.mock.MagicMock()
      ev = evaluator.ExpressionEvaluator(dump)
      with self.assertRaisesRegex(
          ValueError, r".* tensor name .* expression .* malformed"
      ):
          ev.evaluate("np.matmul(`a`, `b`)")
  
      with self.assertRaisesRegex(
          ValueError, r".* tensor name .* expression .* malformed"
      ):
          ev.evaluate(
              "np.matmul(`a:0:DebugIdentity:0`, `b:1:DebugNanCount:2`)"
          )
  
      with self.assertRaises(ValueError):
          ev.evaluate("np.matmul(`a:0[]`, `b: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 8 for calling the EvaluatorTest obj's underlying member method code with example usage: obj.testEvaluateExpressionWithInvalidDebugTensorName() without return types