*    Messages in either direction are enqueued for immediate transmission.
 *
 *  * **Closing:** one of the peers on the web socket has initiated a graceful shutdown. The web
 *    socket will continue to transmit already-enqueued messages but will refuse to enqueue new
 *    ones.
 *
 *  * **Closed:** the web socket has transmitted all of its messages and has received all messages
 *    from the peer.
 *

     * <br/>
     * Supported filters:
     * <ul>
     *     <li>"h" or "h(num)" - highest version or top list of highest ones filter</li>
     *     <li>"l" or "l(num)" - lowest version or bottom list of lowest ones filter</li>
     *     <li>"s" - contextual snapshot filter</li>
     *     <li>"ns" - unconditional snapshot filter (no snapshots selected from ranges)</li>

    for (Future<?> result : results) {
      if (!result.isCancelled()) {
        result.get(10, SECONDS);
      }
      // TODO(cpovirk): Verify that the cancelled futures are exactly ones that we expect.
    }

    assertThat(logHandler.getStoredLogRecords()).isEmpty();
  }

  public void testAvoidsStackOverflow_manySubmitted() throws Exception {

   * invoked in the same order as the underlying service enters those states. Additionally, at most
   * one of the listener's callbacks will execute at once. However, multiple listeners' callbacks
   * may execute concurrently, and listeners may execute in an order different from the one in which
   * they were registered.
   *
   * <p>RuntimeExceptions thrown by a listener will be caught and logged. Any exception thrown

`ModelServer` collates all computation graphs exposed to it (from multiple
`SavedModel`) and executes them in parallel on available executors. Running
TensorFlow in a multitenant design mixes the risks described above with the
inherent ones from multitenant configurations. The primary areas of concern are
tenant isolation, resource allocation, model sharing and hardware attacks.

### Tenant isolation

{
    "name": "Bar",
    "description": "The bartenders",
    "price": 62,
    "tax": 20.2
}
```

응답에 해당 값들이 포함됩니다.

#### 기본값과 동일한 값을 갖는 데이터

If the data has the same values as the default ones, like the item with ID `baz`:
ID가 `baz`인 항목(items)처럼 기본값과 동일한 값을 갖는다면:

```Python hl_lines="3  5-6"
{
    "name": "Baz",
    "description": None,
    "price": 50.2,
    "tax": 10.5,
    "tags": []

        byte[] zeroFileId = new byte[16];
        Smb2FlushRequest zeroRequest = new Smb2FlushRequest(mockConfig, zeroFileId);
        testFileIdInRequest(zeroRequest, zeroFileId);

        // Test with all ones
        byte[] onesFileId = new byte[16];
        Arrays.fill(onesFileId, (byte) 0xFF);
        Smb2FlushRequest onesRequest = new Smb2FlushRequest(mockConfig, onesFileId);
        testFileIdInRequest(onesRequest, onesFileId);

## Documenting the callback { #documenting-the-callback }

The actual callback code will depend heavily on your own API app.

And it will probably vary a lot from one app to the next.

It could be just one or two lines of code, like:

```Python
callback_url = "https://example.com/api/v1/invoices/events/"
httpx.post(callback_url, json={"description": "Invoice paid", "paid": True})
```

        // All patterns should be accepted
        assertDoesNotThrow(() -> request.setFileId(allZeros), "Should handle all-zeros file ID");
        assertDoesNotThrow(() -> request.setFileId(allOnes), "Should handle all-ones file ID");
        assertDoesNotThrow(() -> request.setFileId(alternating), "Should handle alternating pattern file ID");
    }

    @Test
    @DisplayName("Should create custom implementation of RequestWithFileId")

   * under the assumption that for long-running instances, observed
   * contention levels will recur, so the cells will eventually be
   * needed again; and for short-lived ones, it does not matter.
   */

  /**
   * Padded variant of AtomicLong supporting only raw accesses plus CAS. The value field is placed
   * between pads, hoping that the JVM doesn't reorder them.
   *