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：**

import static com.google.common.base.StandardSystemProperty.JAVA_SPECIFICATION_VERSION;
import static com.google.common.truth.Truth.assertThat;
import static java.lang.Integer.parseInt;
import static java.util.concurrent.TimeUnit.SECONDS;

import java.lang.reflect.Method;
import java.util.concurrent.ExecutorService;
import java.util.concurrent.SynchronousQueue;
import java.util.concurrent.ThreadPoolExecutor;
import junit.framework.TestCase;

    assertSame(EntryFactory.STRONG, EntryFactory.getFactory(Strength.STRONG, false, false));
    assertSame(EntryFactory.STRONG_ACCESS, EntryFactory.getFactory(Strength.STRONG, true, false));
    assertSame(EntryFactory.STRONG_WRITE, EntryFactory.getFactory(Strength.STRONG, false, true));
    assertSame(
        EntryFactory.STRONG_ACCESS_WRITE, EntryFactory.getFactory(Strength.STRONG, true, true));

	}, []string{"tier"}),
}

func (t *tierMetrics) Observe(tier string, dur time.Duration) {
	t.histogram.With(prometheus.Labels{"tier": tier}).Observe(dur.Seconds())
}

func (t *tierMetrics) logSuccess(tier string) {
	t.Lock()
	defer t.Unlock()

	stat := t.requestsCount[tier]
	stat.success++
	t.requestsCount[tier] = stat
}

    client =
      client
        .newBuilder()
        .connectionPool(ConnectionPool(0, 5, TimeUnit.SECONDS))
        .build()
    server.enqueue(
      MockResponse
        .Builder()
        .code(301)
        .addHeader("Location: /b")
        .bodyDelay(1, TimeUnit.SECONDS)
        .body("a")
        .build(),
    )
    server.enqueue(MockResponse(body = "b"))

    // causing the thread to be suspended for 3.5 seconds, and then park itself for 2 seconds after
    // being resumed. To avoid a flake in this scenario, calculate how long that thread actually
    // waited and assert based on that time. Empirically, the race where the thread ends up waiting
    // for 5.5 seconds happens about 2% of the time.

            try {
                latch.await(10, TimeUnit.SECONDS);
            } catch (final InterruptedException e) {
                logger.warn("Interrupted to wait a process.", e);
            }
            try {
                process.destroyForcibly().waitFor(processDestroyTimeout, TimeUnit.SECONDS);
                return process.exitValue();
            } catch (final Exception e) {

     *
     * @return the remaining lifetime in seconds. If the default lifetime is
     *         used, this value have no meaning.
     *
     */
    public int getUserLifeTime() {
        return this.userLifetime;
    }

    /**
     * Set lifetime of current user.
     *
     * @param time
     *            the lifetime in seconds
     *
     */
    public void setUserLifeTime(int time) {

        }
    }

    /**
     * Validates integer for safe arithmetic operations
     *
     * @param a first operand
     * @param b second operand
     * @param operation the operation name
     * @throws ArithmeticException if operation would overflow
     */
    public static void validateIntegerAddition(int a, int b, String operation) {

	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.