*
   * @param eventClass a class to assert that the returned event is an instance of, or null to
   *     take any event class.
   * @param elapsedMs the time in milliseconds elapsed since the immediately-preceding event, or
   *     -1L to take any duration.
   */
  fun takeEvent(
    eventClass: Class<out CallEvent>? = null,
    elapsedMs: Long = -1L,
  ): CallEvent {

      if (iterations >= maxIterations) {
        @SuppressWarnings("nullness") // safe because we pass sort() a range that contains real Ts
        T[] castBuffer = (T[]) buffer;
        // We've already taken O(k log k), let's make sure we don't take longer than O(k log k).
        sort(castBuffer, left, right + 1, comparator);
        break;
      }
    }
    bufferSize = k;

     * This marks the access results as processed and clears the list.
     *
     * @param accessResultList the list of access results to clean up
     * @return the time taken for the cleanup operation in milliseconds, or -1 if no cleanup was needed
     */
    private long cleanupAccessResults(final List<OpenSearchAccessResult> accessResultList) {
        if (!accessResultList.isEmpty()) {

        System.arraycopy(err, 0, buf, bodyStart + 8, bc);

        int decoded = resp.decode(buf, headerStart);
        assertTrue(decoded > 0);

        // When error path is taken, no blob should be parsed
        assertNull(resp.getBlob(), "Blob should be null on error path");
        assertNotNull(resp.getErrorData(), "Error data should be present");
        assertArrayEquals(err, resp.getErrorData());

    "tags": []
}
```

FastAPI is smart enough (actually, Pydantic is smart enough) to realize that, even though `description`, `tax`, and `tags` have the same values as the defaults, they were set explicitly (instead of taken from the defaults).

So, they will be included in the JSON response.

/// tip

Notice that the default values can be anything, not only `None`.

They can be a list (`[]`), a `float` of `10.5`, etc.

            .addEqualityGroup(hashFunction2)
            .testEquals();

        assertEquals(hashFunction1a.toString(), hashFunction1b.toString());
      }
    }
  }

  // Parity tests taken from //util/hash/hash_unittest.cc

      } else {
        sslSocket.enabledProtocols
      }

    // In accordance with https://tools.ietf.org/html/draft-ietf-tls-downgrade-scsv-00 the SCSV
    // cipher is added to signal that a protocol fallback has taken place.
    val supportedCipherSuites = sslSocket.supportedCipherSuites
    val indexOfFallbackScsv =
      supportedCipherSuites.indexOf(
        "TLS_FALLBACK_SCSV",
        CipherSuite.ORDER_BY_NAME,
      )

 *
 * <p>The time taken to compute multiple quantiles on the same dataset using {@link Scale#indexes
 * indexes} is generally less than the total time taken to compute each of them separately, and
 * sometimes much less. For example, on a large enough dataset, computing the 90th and 99th
 * percentiles together takes about 55% as long as computing them separately.
 *

server only assumes that the KMS provides two services:

- `GenerateKey`: Takes a key ID and generates a new data key from a master key referenced by the key ID. It returns the new data key in two different forms: The plain data key and the data key encrypted using the master key.

	requestsCount: make(map[string]struct {
		success int64
		failure int64
	}),
	histogram: prometheus.NewHistogramVec(prometheus.HistogramOpts{
		Name:    "tier_ttlb_seconds",
		Help:    "Time taken by requests served by warm tier",
		Buckets: []float64{0.01, 0.1, 1, 2, 5, 10, 60, 5 * 60, 15 * 60, 30 * 60},
	}, []string{"tier"}),
}

func (t *tierMetrics) Observe(tier string, dur time.Duration) {