code: def testInModelAndCapture(self, source):
      file_path = os.path.join(
          self.get_temp_dir(), "text_file_initializer"
      )
  
      model = self.Model(source, file_path)
      func_captures = (
          model.use_table.get_concrete_function().graph.external_captures
      )
      self.assertLen(func_captures, 2)
      self.assertTrue(
          any(model.table.resource_handle is t for t in func_captures)
      )
      deferred_captures = (
          model.use_table.get_concrete_function().graph.deferred_external_captures
      )
      self.assertEmpty(deferred_captures)
  
      strategy = parameter_server_strategy_v2.ParameterServerStrategyV2(
          self.cluster_resolver
      )
      coordinator = coordinator_lib.ClusterCoordinator(strategy)
      with strategy.scope():
          distributed_model = self.Model("value", file_path)
      func_captures = (
          distributed_model.use_table.get_concrete_function().graph.external_captures
      )
      # One less external_capture, since the table handle becomes a closure in the
      # deferred_external_capture
      self.assertLen(func_captures, 1)
      self.assertFalse(
          any(model.table.resource_handle is t for t in func_captures)
      )
      deferred_captures = (
          distributed_model.use_table.get_concrete_function().graph.deferred_external_captures
      )
      self.assertNotEmpty(deferred_captures)
  
      self.verifyWorkerLocalInstance(coordinator, distributed_model)
  
imports: import copy
  import os
  from absl.testing import parameterized
  from tensorflow.python.compat import v2_compat
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.distribute import combinations
  from tensorflow.python.distribute import device_util
  from tensorflow.python.distribute import multi_process_runner
  from tensorflow.python.distribute import multi_worker_test_base
  from tensorflow.python.distribute import parameter_server_strategy_v2
  from tensorflow.python.distribute import ps_values
  from tensorflow.python.distribute.coordinator import cluster_coordinator
  from tensorflow.python.distribute.coordinator import coordinator_context
  from tensorflow.python.eager import def_function
  from tensorflow.python.eager import test
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import tensor_spec
  from tensorflow.python.module import module
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import lookup_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.saved_model import load
  from tensorflow.python.saved_model import save
label_desc: Use image node_id 15 for calling the DistributedTableTest obj's underlying member method code with example usage: obj.testInModelAndCapture(source) without return types