code: def testCollectiveTimeoutV1(self):
      timeout = 4.5
      kwargs = dict(
          inputs=[[i + j + 0.1 for i in range(8)] for j in range(3)],
          expected=[1 + i + 0.1 for i in range(8)],
          set_graph_key=True,
          timeout=timeout,
      )
  
      # Tests that execute collectives need to be enclosed in graph or tf.function
      with ops.Graph().as_default():
          self._testCollectiveReduce(**kwargs)
  
      start_time = time.time()
      with ops.Graph().as_default():
          with self.assertRaisesRegex(
              errors.DeadlineExceededError,
              "Collective has timed out waiting for other workers",
          ):
              self._testCollectiveReduce(
                  reported_group_size=len(kwargs["inputs"]) + 1,
                  **kwargs,
              )
      elapsed = time.time() - start_time
      self.assertAllGreaterEqual(elapsed, timeout)
  
imports: import time
  from tensorflow.core.protobuf import config_pb2
  from tensorflow.core.protobuf import rewriter_config_pb2
  from tensorflow.python.eager import context
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import config
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import kernels
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import collective_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import variable_v1
  from tensorflow.python.ops import variables
  from tensorflow.python.ops import while_loop
  from tensorflow.python.platform import test
  from tensorflow.python.platform import tf_logging
label_desc: Use image node_id 8 for calling the CollectiveOpTest obj's underlying member method code with example usage: obj.testCollectiveTimeoutV1() without return types