throw new DictionaryException("Failed to write: " + line, e);
            }
        }

        /**
         * Commits the changes to the dictionary file.
         * If there is a pending new item, it is written to the file.
         *
         * @return The committed item, or null if no item was committed.
         * @throws DictionaryException if an I/O error occurs.
         */

        }).when(cache).resolveSids0(any(), any(), any());

        // Resolve first two entries
        cache.resolveSids(ctx, null, arr, 0, 2);

        // Verify resolveSids0 called exactly once with the two SIDs needing resolution
        ArgumentCaptor<SID[]> captor = ArgumentCaptor.forClass(SID[].class);
        verify(cache, times(1)).resolveSids0(isNull(), same(ctx), captor.capture());
        SID[] resolvedFirst = captor.getValue();

            assertTrue(latch.await(500, TimeUnit.MILLISECONDS));
            assertTrue(response.isReceived());
        }

        @Test
        @DisplayName("Should handle async pending status")
        void testReceivedAsyncPending() throws InterruptedException {
            response.setAsync(true);
            response.setStatusForTest(NtStatus.NT_STATUS_PENDING);

        }

        /**
         * Deletes old documents from the search index.
         * This method removes documents that were indexed in previous
         * crawling sessions for the same data configuration, keeping
         * only the documents from the current session.
         *
         * <p>The deletion process:</p>
         * <ul>
         *   <li>Checks if old document deletion is enabled</li>

And then, you could give that JWT token to a user (or bot), and they could use it to perform those actions (drive the car, or edit the blog post) without even needing to have an account, just with the JWT token your API generated for that.

Using these ideas, JWT can be used for way more sophisticated scenarios.

	smallFileThreshold = 128 * humanize.KiByte // Optimized for NVMe/SSDs

	// For hardrives it is possible to set this to a lower value to avoid any
	// spike in latency. But currently we are simply keeping it optimal for SSDs.

	// bigFileThreshold is the point where we add readahead to put operations.
	bigFileThreshold = 128 * humanize.MiByte

	// XL metadata file carries per object metadata.

     * `CollectionFuture.values`). This might be a no-op: If this future completed during
     * handleAllCompleted(), they will already have been nulled out. But in the case of
     * whenAll*().call*(), this future may be pending until the callback runs -- or even longer in
     * the case of callAsync(), which waits for the callback's returned future to complete.
     */
    releaseResources(ALL_INPUT_FUTURES_PROCESSED);
  }

  /**

 * {@link #values} views is the same as insertion order. Any removal invalidates any ordering
 * guarantees.
 *
 * <p>This class should not be assumed to be universally superior to {@code java.util.HashMap}.
 * Generally speaking, this class reduces object allocation and memory consumption at the price of
 * moderately increased constant factors of CPU. Only use this class when there is a specific reason
 * to prioritize memory over CPU.
 *

**OkHttp now supports Happy Eyeballs ([RFC 8305][rfc_8305]) for IPv4+IPv6 networks.** It attempts
both IPv6 and IPv4 connections concurrently, keeping whichever connects first.

**We’ve improved our Kotlin APIs.** You can skip the builder:

```kotlin
val request = Request(
  url = "https://cash.app/".toHttpUrl(),
)
```

**OkHttp now supports [GraalVM].**

	batchKeyRotateAPIVersion           = "v1"
	batchKeyRotateJobDefaultRetries    = 3
	batchKeyRotateJobDefaultRetryDelay = 25 * time.Millisecond
)

// Start the batch key rottion job, resumes if there was a pending job via "job.ID"
func (r *BatchJobKeyRotateV1) Start(ctx context.Context, api ObjectLayer, job BatchJobRequest) error {
	ri := &batchJobInfo{
		JobID:     job.ID,
		JobType:   string(job.Type()),