Object one = new Object();
    Object two = new Object();
    Object three = new Object();

    ConcurrentMap<Object, Object> map = cache.asMap();
    assertThat(map.put(one, two)).isNull();
    assertThat(map.get(one)).isSameInstanceAs(two);
    map.putAll(ImmutableMap.of(two, three));
    assertThat(map.get(two)).isSameInstanceAs(three);

    Object one = new Object();
    Object two = new Object();
    Object three = new Object();

    ConcurrentMap<Object, Object> map = cache.asMap();
    assertThat(map.put(one, two)).isNull();
    assertThat(map.get(one)).isSameInstanceAs(two);
    map.putAll(ImmutableMap.of(two, three));
    assertThat(map.get(two)).isSameInstanceAs(three);

    assertMapEquals(ImmutableBiMap.of("one", 1, "two", 2), "one", 1, "two", 2);
    assertMapEquals(ImmutableBiMap.of("one", 1, "two", 2).inverse(), 1, "one", 2, "two");
    assertMapEquals(
        ImmutableBiMap.of("one", 1, "two", 2, "three", 3), "one", 1, "two", 2, "three", 3);
    assertMapEquals(
        ImmutableBiMap.of("one", 1, "two", 2, "three", 3).inverse(),
        1,
        "one",
        2,

    assertMapEquals(ImmutableSortedMap.of("one", 1, "two", 2), "one", 1, "two", 2);
    assertMapEquals(
        ImmutableSortedMap.of("one", 1, "two", 2, "three", 3), "one", 1, "three", 3, "two", 2);
    assertMapEquals(
        ImmutableSortedMap.of("one", 1, "two", 2, "three", 3, "four", 4),
        "four",
        4,
        "one",
        1,
        "three",
        3,
        "two",
        2);
    assertMapEquals(

        .inOrder();
    assertThat(map.tailMap("onea").entrySet())
        .containsExactly(mapEntry("three", 5), mapEntry("two", 3))
        .inOrder();
    assertThat(map.subMap("one", "two").entrySet())
        .containsExactly(mapEntry("one", 3), mapEntry("three", 5))
        .inOrder();

    assertEquals(ImmutableSortedMap.of("two", 3, "three", 5), map.tailMap("three", true));

      "FINE: Q10000 scheduled after 100 µs: task two",
      "FINE: Q10000 scheduled after 100 µs: task three",
      "FINE: Q10000 starting              : task one",
      "FINE: Q10000 finished run in   0 µs: task one",
      "FINE: Q10000 starting              : task two",
      "FINE: Q10000 finished run in   0 µs: task two",
      "FINE: Q10000 starting              : task three",

    assertTrue(queue.add("two"));
    assertTrue(queue.add("three"));
    assertThat(queue.element()).isEqualTo("one");
    assertThat(queue.peek()).isEqualTo("one");
    assertEquals(3, queue.size());
    assertEquals(0, queue.remainingCapacity());

    assertTrue(queue.add("four"));
    assertThat(queue.element()).isEqualTo("two");
    assertThat(queue.peek()).isEqualTo("two");
    assertEquals(3, queue.size());

                "summary": "Example One Summary",
                "description": "Example One Description",
                "value": {"data": "Data in Body examples, example1"},
            },
            "Example Two": {
                "value": {"data": "Data in Body examples, example2"},
            },
        },
    ),
):
    return item


@app.get("/path_examples/{item_id}")
def path_examples(

 *
 * <p>This class provides methods for merging two SuggestItem instances,
 * combining their fields, frequencies, and other attributes while
 * maintaining uniqueness where appropriate.
 */
public final class SuggestItemMerger {

    private SuggestItemMerger() {
        // Utility class
    }

    /**
     * Merges two SuggestItem instances into a new SuggestItem.
     *

  Define(-1, {}, {feed1, feed2, feed3}, {add2}, {});

  // Use, run, and verify
  TF_Operation* two = ScalarConst(2, host_graph_, s_, "two");
  TF_Operation* ten = ScalarConst(10, host_graph_, s_, "ten");
  TF_Operation* func_feed = Placeholder(host_graph_, s_);
  TF_Operation* func_op = Use({two, ten, func_feed});
  Run({{func_feed, Int32Tensor(3)}}, func_op, 2 + 10 + 3);