code: def testParallelInsertMany(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_ops = [
              b.insert_many(0, [k], [v]) for k, v in zip(keys, values)
          ]
          take_t = b.take_many(10)
  
          self.evaluate(insert_ops)
          self.assertEqual(self.evaluate(size_t), [10])
  
          indices_val, keys_val, values_val = sess.run(
              [take_t[0], take_t[1], take_t[2][0]]
          )
  
      self.assertAllEqual(
          indices_val, [-(2**63) + x for x in range(10)]
      )
      for k, v in zip(keys, values):
          idx = keys_val.tolist().index(k)
          self.assertEqual(values_val[idx], v)
  
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 8 for calling the BarrierTest obj's underlying member method code with example usage: obj.testParallelInsertMany() without return types