if globalEndpoints.NEndpoints() > 1 {
					logger.Info("Unable to connect to %s: %v, will be retried", endpoints[i], isServerResolvable(endpoints[i], time.Second))
				} else {
					logger.Fatal(err, "Unable to connect to %s: %v", endpoints[i], isServerResolvable(endpoints[i], time.Second))
				}
			} else {
				if globalEndpoints.NEndpoints() > 1 {
					logger.Info("Unable to use the drive %s: %v, will be retried", endpoints[i], err)

对于这些情况，你可以使用Python的技术，将 `dict` 与 `**dict_to_unpack` 解包：
```Python
old_dict = {
    "old key": "old value",
    "second old key": "second old value",
}
new_dict = {**old_dict, "new key": "new value"}
```

这里， new_dict 将包含来自 old_dict 的所有键值对加上新的键值对：
```python
{
    "old key": "old value",
    "second old key": "second old value",
    "new key": "new value",
}
```
您可以使用该技术在路径操作中重用一些预定义的响应，并将它们与其他自定义响应相结合。
**例如：**

   * as a false predicate is found.
   *
   * <p><b>Discouraged:</b> Prefer using {@code first.and(second)}.
   */
  public static <T extends @Nullable Object> Predicate<T> and(
      Predicate<? super T> first, Predicate<? super T> second) {
    return new AndPredicate<>(Predicates.<T>asList(checkNotNull(first), checkNotNull(second)));
  }

  /**

For example, a compiler must not invert the conditional in this program:
</p>

<pre>
*p = 1
if cond {
	*p = 2
}
</pre>

<p>
That is, the compiler must not rewrite the program into this one:
</p>

<pre>
*p = 2
if !cond {
	*p = 1
}
</pre>

<p>
If <code>cond</code> is false and another goroutine is reading <code>*p</code>,

				if wildcard.Match("tmp-old/*", u.Object) {
					continue
				}
			}

			now := time.Now()
			if now.Sub(u.Queued) < time.Second {
				// let recently failed networks to reconnect
				// making MRF wait for 1s before retrying,
				// i.e 4 reconnect attempts.
				time.Sleep(time.Second)
			}

			// wait on timer per heal
			wait := healSleeper.Timer(context.Background())

			scan := madmin.HealNormalScan

```Python
old_dict = {
    "old key": "old value",
    "second old key": "second old value",
}
new_dict = {**old_dict, "new key": "new value"}
```

Ici, `new_dict` contiendra toutes les paires clé-valeur de `old_dict` plus la nouvelle paire clé-valeur :

```Python
{
    "old key": "old value",
    "second old key": "second old value",
    "new key": "new value",
}
```

            Map<String, String> orderedMap = new LinkedHashMap<>();
            orderedMap.put("third", "3");
            orderedMap.put("first", "1");
            orderedMap.put("second", "2");

            // Create model and set properties
            Model model = new Model();
            Properties props = model.getProperties();

@GwtCompatible
@NullMarked
public class AbstractIteratorTest extends TestCase {

  public void testDefaultBehaviorOfNextAndHasNext() {

    // This sample AbstractIterator returns 0 on the first call, 1 on the
    // second, then signals that it's reached the end of the data
    Iterator<Integer> iter =
        new AbstractIterator<Integer>() {
          private int rep;

          @Override
          public @Nullable Integer computeNext() {

    entry = cacheEntry1;
    if (entry != null && entry.key == key) {
      return entry.value;
    }
    entry = cacheEntry2;
    if (entry != null && entry.key == key) {
      // Promote second cache entry to first so the access pattern
      // [K1, K2, K1, K3, K1, K4...] still hits the cache half the time.
      addToCache(entry);
      return entry.value;
    }
    return null;
  }

  @Override

    Request request = new Request.Builder()
        .url("http://httpbin.org/delay/2") // This URL is served with a 2 second delay.
        .build();

    final long startNanos = System.nanoTime();
    final Call call = client.newCall(request);

    // Schedule a job to cancel the call in 1 second.
    executor.schedule(() -> {
      System.out.printf("%.2f Canceling call.%n", (System.nanoTime() - startNanos) / 1e9f);