* limitations under the License.
 */
package okhttp3.internal.duplex

import java.util.concurrent.BlockingQueue
import java.util.concurrent.LinkedBlockingQueue
import java.util.concurrent.TimeUnit.SECONDS
import okhttp3.MediaType
import okhttp3.RequestBody
import okio.BufferedSink
import org.junit.jupiter.api.Assertions.assertTrue

/** A duplex request body that keeps the provided sinks so they can be written to later.  */

                }
            });
        }

        // Start all threads simultaneously
        startLatch.countDown();

        // Wait for completion
        assertTrue(endLatch.await(30, TimeUnit.SECONDS), "All threads should complete within timeout");
        executor.shutdown();

        // Then - Verify no exceptions occurred
        if (!exceptions.isEmpty()) {

	input := `{"id": 0,"title": "Test Record","desc": "Some text","synonyms": ["foo", "bar", "whatever"]}
	{"id": 1,"title": "Second Record","desc": "another text","synonyms": ["some", "synonym", "value"]}
	{"id": 2,"title": "Second Record","desc": "another text","numbers": [2, 3.0, 4]}
	{"id": 3,"title": "Second Record","desc": "another text","nested": [[2, 3.0, 4], [7, 8.5, 9]]}`

	testTable := []struct {
		name       string

	if m.expMovingAvg == 0 {
		// Should address initial calculation and should be fine for resuming from 0
		m.expMovingAvg = float64(bytesSinceLastWindow) / duration.Seconds()
		return
	}

	increment := float64(bytesSinceLastWindow) / duration.Seconds()
	m.expMovingAvg = exponentialMovingAverage(betaBucket, m.expMovingAvg, increment)
}

// exponentialMovingAverage calculates the exponential moving average

      implements Serializable {
    final Converter<A, B> first;
    final Converter<B, C> second;

    ConverterComposition(Converter<A, B> first, Converter<B, C> second) {
      this.first = first;
      this.second = second;
    }

    /*
     * These gymnastics are a little confusing. Basically this class has neither legacy nor

   * 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)));
  }

  /**

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：**

package com.google.common.util.concurrent;

import static com.google.common.util.concurrent.MoreExecutors.directExecutor;
import static java.util.concurrent.Executors.newCachedThreadPool;
import static java.util.concurrent.TimeUnit.SECONDS;

import com.google.common.testing.NullPointerTester;
import java.util.concurrent.CountDownLatch;
import java.util.concurrent.Executor;
import java.util.concurrent.atomic.AtomicInteger;
import junit.framework.TestCase;

				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

	scannerVersionsScannedMD = NewCounterMD(scannerVersionsScanned,
		"Total number of object versions scanned since server start")
	scannerLastActivitySecondsMD = NewGaugeMD(scannerLastActivitySeconds,
		"Time elapsed (in seconds) since last scan activity.")
)

// loadClusterScannerMetrics - `MetricsLoaderFn` for cluster webhook
// such as failed objects and directories scanned.