i+1, test.result, got)
		}
	}
}

func BenchmarkGetPartFileWithTrie(b *testing.B) {
	b.ResetTimer()

	entriesTrie := trie.NewTrie()
	for i := 1; i <= 10000; i++ {
		entriesTrie.Insert(fmt.Sprintf("%.5d.8a034f82cb9cb31140d87d3ce2a9ede3.67108864", i))
	}

	for i := 1; i <= 10000; i++ {
		partFile := getPartFile(entriesTrie, i, "8a034f82cb9cb31140d87d3ce2a9ede3")
		if partFile == "" {

  auto cluster = server_def.mutable_cluster();
  auto client_job = cluster->add_job();
  client_job->set_name("localhost");
  int client_port = tensorflow::testing::PickUnusedPortOrDie();
  client_job->mutable_tasks()->insert(
      {0, strings::StrCat("localhost:", client_port)});
  server_def.set_job_name("localhost");
  auto serialized = server_def.SerializeAsString();

        return false;
      }
      if ((i > 2) && (compareElements(getGrandparentIndex(i), i) > 0)) {
        return false;
      }
      return true;
    }

    // These would be static if inner classes could have static members.

    private int getLeftChildIndex(int i) {
      return i * 2 + 1;
    }

    private int getRightChildIndex(int i) {
      return i * 2 + 2;
    }

    }
    assertIntact(mmHeap);
    assertEquals(heapSize, mmHeap.size());
    int currentHeapSize = heapSize;
    for (int i = 0; i < numberOfModifications; i++) {
      if (random.nextBoolean()) {
        /* insert a new element */
        int randomInt = random.nextInt();
        mmHeap.offer(randomInt);
        insertIntoReplica(replica, randomInt);
        currentHeapSize++;
      } else {

            DfsReferralDataInternal tmp = dr;
            do {
                /*
                 * Store references to the map and key so that
                 * SmbFile.resolveDfs can re-insert the dr list with
                 * the dr that was successful so that subsequent
                 * attempts to resolve DFS use the last successful
                 * referral first.
                 */

    *, dependant: Dependant, values: Dict[str, Any], is_coroutine: bool
) -> Any:
    # Only called by get_request_handler. Has been split into its own function to
    # facilitate profiling endpoints, since inner functions are harder to profile.
    assert dependant.call is not None, "dependant.call must be a function"

    if is_coroutine:
        return await dependant.call(**values)
    else:

      single_host_server_def.mutable_cluster();
  tensorflow::JobDef* job_def = cluster_def->add_job();
  job_def->set_name("client");

  // Add a client.
  job_def->mutable_tasks()->insert(
      {0, tensorflow::strings::StrCat(
              "localhost:", tensorflow::testing::PickUnusedPortOrDie())});

  tensorflow::JobDef* job_def2 = cluster_def->add_job();
  job_def2->set_name("worker");

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    deleteFromTableKToV(entry, Hashing.smearedHash(keys[entry]));
    keys[entry] = newKey;
    insertIntoTableKToV(entry, Hashing.smearedHash(newKey));

    // insert into insertion order linked list, usually at the end
    setSucceeds(newPredecessor, entry);
    setSucceeds(entry, newSuccessor);
  }

  @Override
  @CanIgnoreReturnValue
  @CheckForNull