code: def testParallelTakeMany(self):
      with self.cached_session() as sess:
          b = data_flow_ops.Barrier(dtypes.float32, shapes=())
          size_t = b.ready_size()
          keys = [str(x).encode("ascii") for x in range(10)]
          values = [float(x) for x in range(10)]
          insert_op = b.insert_many(0, keys, values)
          take_t = [b.take_many(1) for _ in keys]
  
          insert_op.run()
          self.assertEqual(self.evaluate(size_t), [10])
  
          index_fetches = []
          key_fetches = []
          value_fetches = []
          for ix_t, k_t, v_t in take_t:
              index_fetches.append(ix_t)
              key_fetches.append(k_t)
              value_fetches.append(v_t[0])
          vals = sess.run(index_fetches + key_fetches + value_fetches)
  
      index_vals = vals[: len(keys)]
      key_vals = vals[len(keys) : 2 * len(keys)]
      value_vals = vals[2 * len(keys) :]
  
      taken_elems = []
      for k, v in zip(key_vals, value_vals):
          taken_elems.append((k[0], v[0]))
  
      self.assertAllEqual(np.hstack(index_vals), [-(2**63)] * 10)
  
      self.assertItemsEqual(
          zip(keys, values),
          [(k[0], v[0]) for k, v in zip(key_vals, value_vals)],
      )
  
imports: import time
  import numpy
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors_impl
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import data_flow_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 9 for calling the BarrierTest obj's underlying member method code with example usage: obj.testParallelTakeMany() without return types