}
    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 {

      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,
       absl::StrCat("localhost:", tensorflow::testing::PickUnusedPortOrDie())});

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

            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.
                 */

            )
            if counterpart in all_docs_content:
                counterpart_found = True
        else:
            # This is a non-_an file, check if there's an _an version referenced
            # Insert _an before any version suffix or at the end of the stem
            stem = py_file.stem
            for suffix in ("_py39", "_py310"):
                if suffix in stem:

				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, absl::StrCat("localhost:", client_port)});
  server_def.set_job_name("localhost");
  auto serialized = server_def.SerializeAsString();

   *
   * <p><b>{@code Stream} equivalent:</b> {@code stream.filter(type::isInstance).map(type::cast)}.
   * This does perform a little more work than necessary, so another option is to insert an
   * unchecked cast at some later point:
   *
   * {@snippet :
   * @SuppressWarnings("unchecked") // safe because of ::isInstance check
   * ImmutableList<NewType> result =

      // linked list starting from `newTable`. In general, each element from the old linked list
      // belongs to a different linked list from `newTable`. We insert each element in turn at the
      // head of its appropriate `newTable` linked list.
      while (oldNext != UNSET) {
        int entryIndex = oldNext - 1;
        int oldEntry = entries[entryIndex];

   *
   * <p><b>{@code Stream} equivalent:</b> {@code stream.filter(type::isInstance).map(type::cast)}.
   * This does perform a little more work than necessary, so another option is to insert an
   * unchecked cast at some later point:
   *
   * {@snippet :
   * @SuppressWarnings("unchecked") // safe because of ::isInstance check
   * ImmutableList<NewType> result =

pkg slices, func Index[$0 interface{ ~[]$1 }, $1 comparable]($0, $1) int #57433
pkg slices, func IndexFunc[$0 interface{ ~[]$1 }, $1 interface{}]($0, func($1) bool) int #57433
pkg slices, func Insert[$0 interface{ ~[]$1 }, $1 interface{}]($0, int, ...$1) $0 #57433
pkg slices, func IsSorted[$0 interface{ ~[]$1 }, $1 cmp.Ordered]($0) bool #60091