And also after the `response` is generated, before returning it.

For example, you could add a custom header `X-Process-Time` containing the time in seconds that it took to process the request and generate a response:

```Python hl_lines="10  12-13"
{!../../docs_src/middleware/tutorial001.py!}
```

/// tip

	test1Want2[BucketOptions{Name: "bucket", ReplicationARN: "arn"}] = Details{
		LimitInBytesPerSecond:            1024 * 1024,
		CurrentBandwidthInBytesPerSecond: (1024 * 1024) / start.Add(2*time.Second).Sub(start.Add(1*time.Second)).Seconds(),
	}

	test2Want := make(map[BucketOptions]Details)
	test2Want[BucketOptions{Name: "bucket", ReplicationARN: "arn"}] = Details{LimitInBytesPerSecond: 1024 * 1024, CurrentBandwidthInBytesPerSecond: float64(oneMiB)}

	if delta < 0 {
		rx = 0
		errStr = "network disconnection issues detected"
	}

	globalNetPerfRX.Reset()
	return madmin.NetperfNodeResult{Endpoint: "", TX: r.n / uint64(duration.Seconds()), RX: uint64(rx / delta.Seconds()), Error: errStr}
}

func siteNetperf(ctx context.Context, duration time.Duration) madmin.SiteNetPerfNodeResult {
	r := &netperfReader{eof: make(chan struct{})}

  // An update strategy to replace existing DaemonSet pods with new pods.
  // +optional
  optional DaemonSetUpdateStrategy updateStrategy = 3;

  // The minimum number of seconds for which a newly created DaemonSet pod should
  // be ready without any of its container crashing, for it to be considered
  // available. Defaults to 0 (pod will be considered available as soon as it
  // is ready).

import static java.util.concurrent.Executors.newCachedThreadPool;
import static java.util.concurrent.TimeUnit.MILLISECONDS;
import static java.util.concurrent.TimeUnit.NANOSECONDS;
import static java.util.concurrent.TimeUnit.SECONDS;
import static org.junit.Assert.assertThrows;

import com.google.common.base.Stopwatch;
import java.util.Collection;
import java.util.List;
import java.util.concurrent.ArrayBlockingQueue;

    dispatcher.enqueueResponse(
      MockResponse.Builder()
        .bodyDelay(10, TimeUnit.SECONDS)
        .body("abc")
        .build(),
    )
    dispatcher.enqueueResponse(
      MockResponse.Builder()
        .bodyDelay(10, TimeUnit.SECONDS)
        .body("def")
        .build(),
    )
    dispatcher.enqueueResponse(
      MockResponse(body = "ghi"),
    )

| user               | string                                  | Identifier for owner of requested credentials          |
| maxValiditySeconds | integer (>= 900 seconds and < 365 days) | Maximum allowed expiry duration for the credentials    |
| claims             | key-value pairs                         | Claims to be associated with the requested credentials |

	if err = db.AutoMigrate(&City{}); err != nil {
		t.Fatalf("failed to migrate cities table, got error: %v", err)
	}

	err = db.Create(&City{Name: "Kabul"}).Error
	if err != nil {
		t.Fatalf("failed to create record: %v", err)
	}

	err = db.Create(&City{Name: "Kabul"}).Error
	if !errors.Is(err, gorm.ErrDuplicatedKey) {
		t.Fatalf("expected err: %v got err: %v", gorm.ErrDuplicatedKey, err)
	}
}

* `datetime.timedelta`:
    * A Python `datetime.timedelta`.
    * In requests and responses will be represented as a `float` of total seconds.
    * Pydantic also allows representing it as a "ISO 8601 time diff encoding", <a href="https://docs.pydantic.dev/latest/concepts/serialization/#custom-serializers" class="external-link" target="_blank">see the docs for more info</a>.

message HorizontalPodAutoscalerBehavior {
  // scaleUp is scaling policy for scaling Up.
  // If not set, the default value is the higher of:
  //   * increase no more than 4 pods per 60 seconds
  //   * double the number of pods per 60 seconds
  // No stabilization is used.
  // +optional
  optional HPAScalingRules scaleUp = 1;

  // scaleDown is scaling policy for scaling Down.