/**
   * Returns the empty immutable list. This list behaves and performs comparably to {@link
   * Collections#emptyList}, and is preferable mainly for consistency and maintainability of your
   * code.
   *
   * <p><b>Performance note:</b> the instance returned is a singleton.
   */
  // Casting to any type is safe because the list will never hold any elements.
  @SuppressWarnings("unchecked")
  public static <E> ImmutableList<E> of() {

 * href="https://www.javadoc.io/doc/com.github.ben-manes.caffeine/caffeine/latest/com.github.benmanes.caffeine/com/github/benmanes/caffeine/cache/Caffeine.html">{@code
 * Caffeine}</a> class. Caffeine offers better performance, more features (including asynchronous
 * loading), and fewer <a
 * href="https://github.com/google/guava/issues?q=is%3Aopen+is%3Aissue+label%3Apackage%3Dcache+label%3Atype%3Ddefect">bugs</a>.
 *

svg)](https://slack.min.io) [![license](https://img.shields.io/badge/license-AGPL%20V3-blue)](https://github.com/minio/minio/blob/master/LICENSE) MinIO is a High Performance Object Storage released under GNU Affero General Public License v3.0. It is API compatible with Amazon S3 cloud storage service. Use MinIO to build high performance infrastructure for machine learning, analytics and application data workloads. For more detailed documentation please visit [here](https://docs.minio.io/) Introduction...

通過 **FastAPI** 你可以獲得所有 **Starlette** 的特性（FastAPI 就像加強版的 Starlette）：

* 性能極其出色。它是 <a href="https://github.com/encode/starlette#performance" class="external-link" target="_blank">Python 可用的最快框架之一，和 **NodeJS** 及 **Go** 相當</a>。
* **支援 WebSocket**。
* 能在行程內處理背景任務。
* 支援啟動和關閉事件。
* 有基於 HTTPX 的測試用戶端。
* 支援 **CORS**、GZip、靜態檔案、串流回應。
* 支援 **Session 和 Cookie** 。

   * to consider using {@link #forEachPair} instead of this method.
   *
   * <p><b>Performance note:</b> The resulting stream is not <a
   * href="http://gee.cs.oswego.edu/dl/html/StreamParallelGuidance.html">efficiently splittable</a>.
   * This may harm parallel performance.
   */
  @Beta
  public static <A extends @Nullable Object, B extends @Nullable Object, R extends @Nullable Object>

* Improve scheduler performance of MatchInterPodAffinity predicate. ([#57476](https://github.com/kubernetes/kubernetes/pull/57476), [@misterikkit](https://github.com/misterikkit))
* Improve scheduler performance of MatchInterPodAffinity predicate. ([#57477](https://github.com/kubernetes/kubernetes/pull/57477), [@misterikkit](https://github.com/misterikkit))

   * to prove its primality. Values from miller-rabin.appspot.com.
   *
   * NOTE: We could get slightly better bases that would be treated as unsigned, but benchmarks
   * showed negligible performance improvements.
   */
  private static final long[][] millerRabinBaseSets = {
    {291830, 126401071349994536L},
    {885594168, 725270293939359937L, 3569819667048198375L},

///

## Utilizando `ORJSONResponse` { #use-orjsonresponse }

Por exemplo, se você precisa bastante de performance, você pode instalar e utilizar o <a href="https://github.com/ijl/orjson" class="external-link" target="_blank">`orjson`</a> e definir a resposta para ser uma `ORJSONResponse`.

svg)](https://slack.min.io) [![license](https://img.shields.io/badge/license-AGPL%20V3-blue)](https://github.com/minio/minio/blob/master/LICENSE) MinIO is a High Performance Object Storage released under GNU Affero General Public License v3.0. It is API compatible with Amazon S3 cloud storage service. Use MinIO to build high performance infrastructure for machine learning, analytics and application data workloads. For more detailed documentation please visit [here](https://docs.minio.io/) Introduction...

svg)](https://slack.min.io) [![license](https://img.shields.io/badge/license-AGPL%20V3-blue)](https://github.com/minio/minio/blob/master/LICENSE) MinIO is a High Performance Object Storage released under GNU Affero General Public License v3.0. It is API compatible with Amazon S3 cloud storage service. Use MinIO to build high performance infrastructure for machine learning, analytics and application data workloads. For more detailed documentation please visit [here](https://docs.minio.io/) Introduction...