code: def testEvaluateWithMultipleDevicesContainingTheSameTensorName(self):
      dump = test.mock.MagicMock()
  
      def fake_get_tensors(
          node_name, output_slot, debug_op, device_name=None
      ):
          del output_slot, debug_op  # Unused.
          if node_name == "a" and device_name is None:
              raise ValueError(
                  "There are multiple (2) devices with nodes named 'a' but "
                  "device_name is not specified"
              )
          elif (
              node_name == "a"
              and device_name == "/job:worker/replica:0/task:0/cpu:0"
          ):
              return [np.array(10.0)]
          elif (
              node_name == "a"
              and device_name == "/job:worker/replica:0/task:1/cpu:0"
          ):
              return [np.array(20.0)]
  
      with test.mock.patch.object(
          dump, "get_tensors", side_effect=fake_get_tensors
      ):
          ev = evaluator.ExpressionEvaluator(dump)
          with self.assertRaisesRegex(
              ValueError, r"multiple \(2\) devices"
          ):
              ev.evaluate("`a:0` + `a:0`")
  
          self.assertAllClose(
              30.0,
              ev.evaluate(
                  "`/job:worker/replica:0/task:0/cpu:0:a:0` + "
                  "`/job:worker/replica:0/task:1/cpu:0: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 4 for calling the EvaluatorTest obj's underlying member method code with example usage: obj.testEvaluateWithMultipleDevicesContainingTheSameTensorName() and returns: list, list