for (LoadingCache<Object, Object> cache : caches()) {
      Set<Entry<Object, Object>> entries = cache.asMap().entrySet();
      assertThrows(
          NullPointerException.class, () -> entries.toArray((Entry<Object, Object>[]) null));
      checkEmpty(cache);
    }
  }

  public void testEntrySet_addNotSupported() {
    for (LoadingCache<Object, Object> cache : caches()) {
      assertThrows(

    LocalLoadingCache<Object, Object> cache = makeCache(builder, identityLoader());
    assertEquals(EMPTY_STATS, cache.stats());

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

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

    LocalLoadingCache<Object, Object> cache = makeCache(builder, identityLoader());
    assertEquals(EMPTY_STATS, cache.stats());

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

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

         * @return String
         */
        public String getBbb(final Object a) {
            return null;
        }

        /**
         * @return boolean
         */
        public boolean isCCC() {
            return true;
        }

        /**
         * @return Object
         */
        public Object isDdd() {
            return null;
        }

        /**

                            "application/json": {
                                "schema": {
                                    "title": "Weights",
                                    "type": "object",
                                    "additionalProperties": {"type": "number"},
                                }
                            }
                        },
                        "required": True,

   * to reduce cache contention on most processors. Padding is
   * overkill for most Atomics because they are usually irregularly
   * scattered in memory and thus don't interfere much with each
   * other. But Atomic objects residing in arrays will tend to be
   * placed adjacent to each other, and so will most often share
   * cache lines (with a huge negative performance impact) without
   * this precaution.
   *

  }

  private fun runTest(
    number: Long,
    count: Long,
  ) {
    val latch = CountDownLatch(1)
    val startNanos = AtomicLong()
    newWebSocket(
      "/runCase?case=$number&agent=okhttp",
      object : WebSocketListener() {
        override fun onOpen(
          webSocket: WebSocket,
          response: Response,
        ) {
          println("Executing test case $number/$count")

     */
    public static Float toFloat(final Object o) {
        return toFloat(o, null);
    }

    /**
     * {@link Float}に変換します。
     *
     * @param o
     *            変換元のオブジェクト
     * @param pattern
     *            パターン文字列
     * @return 変換された{@link Float}
     */
    public static Float toFloat(final Object o, final String pattern) {
        if (o == null) {
            return null;

  /**
   * Returns an instance of {@code interfaceType} that delegates all method calls to the {@code
   * target} object, enforcing the specified time limit on each call. This time-limited delegation
   * is also performed for calls to {@link Object#equals}, {@link Object#hashCode}, and {@link
   * Object#toString}.
   *
   * <p>If the target method call finishes before the limit is reached, the return value or

    }

    @Override
    public void acceptAllColumnMap(Entity entity, Map<String, ? extends Object> allColumnMap) {
    }

    @Override
    public Map<String, Object> extractPrimaryKeyMap(Entity entity) {
        return null;
    }

    @Override
    public Map<String, Object> extractAllColumnMap(Entity entity) {
        return null;