pip install "uvicorn[standard]"
```

Dan demikian juga untuk pilihan dependensi yang hendak kamu gunakan.

///

## Pedoman Pengguna Lanjutan

Tersedia juga **Pedoman Pengguna Lanjutan** yang dapat kamu baca nanti setelah **Tutorial - Pedoman Pengguna** ini.

**Pedoman Pengguna Lanjutan**, dibangun atas hal ini, menggunakan konsep yang sama, dan mengajarkan kepadamu beberapa fitur tambahan.

nodeSelector| [node selector](https://kubernetes.io/docs/concepts/configuration/assign-pod-node/#nodeselector)
affinity | [affinity and anti-affinity](https://kubernetes.io/docs/concepts/configuration/assign-pod-node/#affinity-and-anti-affinity)
serviceAnnotations | [service annotations](https://kubernetes.io/docs/concepts/overview/working-with-objects/annotations/)

   * xStats().populationVariance() > 0.0 && yStats().populationVariance() > 0.0}). The result is not
   * guaranteed to be exactly +/-1 even when the data are perfectly (anti-)correlated, due to
   * numerical errors. However, it is guaranteed to be in the inclusive range [-1, +1].
   *
   * <h3>Non-finite values</h3>
   *

   * xStats().populationVariance() > 0.0 && yStats().populationVariance() > 0.0}). The result is not
   * guaranteed to be exactly +/-1 even when the data are perfectly (anti-)correlated, due to
   * numerical errors. However, it is guaranteed to be in the inclusive range [-1, +1].
   *
   * <h3>Non-finite values</h3>
   *

   * xStats().populationVariance() > 0.0 && yStats().populationVariance() > 0.0}). The result is not
   * guaranteed to be exactly +/-1 even when the data are perfectly (anti-)correlated, due to
   * numerical errors. However, it is guaranteed to be in the inclusive range [-1, +1].
   *
   * <h3>Non-finite values</h3>
   *

   * xStats().populationVariance() > 0.0 && yStats().populationVariance() > 0.0}). The result is not
   * guaranteed to be exactly +/-1 even when the data are perfectly (anti-)correlated, due to
   * numerical errors. However, it is guaranteed to be in the inclusive range [-1, +1].
   *
   * <h3>Non-finite values</h3>
   *

   * and use that list instead.
   */
  public List<Long> asList() {
    /*
     * Typically we cache this kind of thing, but much repeated use of this view is a performance
     * anti-pattern anyway. If we cache, then everyone pays a price in memory footprint even if
     * they never use this method.
     */
    return new AsList(this);
  }

   * ImmutableList.copyOf} and use that list instead.
   */
  public List<Integer> asList() {
    /*
     * Typically we cache this kind of thing, but much repeated use of this view is a performance
     * anti-pattern anyway. If we cache, then everyone pays a price in memory footprint even if
     * they never use this method.
     */
    return new AsList(this);
  }

}

// Pod anti affinity is a group of inter pod anti affinity scheduling rules.
message PodAntiAffinity {
  // If the anti-affinity requirements specified by this field are not met at
  // scheduling time, the pod will not be scheduled onto the node.
  // If the anti-affinity requirements specified by this field cease to be met

   * ImmutableList.copyOf} and use that list instead.
   */
  public List<Integer> asList() {
    /*
     * Typically we cache this kind of thing, but much repeated use of this view is a performance
     * anti-pattern anyway. If we cache, then everyone pays a price in memory footprint even if
     * they never use this method.
     */
    return new AsList(this);
  }