*
   * <p>This method has no effect (returns {@code this}) when called in GWT: it's unclear whether a
   * precomputed matcher is faster, but it certainly would consume more memory (which doesn't seem
   * like a worthwhile tradeoff in a browser).
   */
  public CharMatcher precomputed() {
    return Platform.precomputeCharMatcher(this);
  }

* Luego verifica que los tests **pasen** después del PR. ✅

* Muchos PRs no tienen tests, puedes **recordarles** que agreguen tests, o incluso puedes **sugerir** algunos tests tú mismo. Eso es una de las cosas que consume más tiempo y puedes ayudar mucho con eso.

* Luego también comenta lo que intentaste, de esa manera sabré que lo revisaste. 🤓

## Crea un Pull Request { #create-a-pull-request }

* Fix aggressive VM calls for Azure VMSS ([#83102](https://github.com/kubernetes/kubernetes/pull/83102), [@feiskyer](https://github.com/feiskyer))

                              desc->colocation_constraints.end()));
    }
    status->status = desc->node_builder.Finalize(&desc->graph->graph, &ret,
                                                 /*consume=*/true);

    if (status->status.ok()) {
      // Run shape inference function for newly added node.
      status->status = desc->graph->refiner.AddNode(ret);
    }
    if (status->status.ok()) {

"ephemeral-storage" so that this resource can be allocated, limited, and consumed as the same way as CPU/memory. All the features related to resource management (resource request/limit, quota, limitrange) are available for local ephemeral storage. This local ephemeral storage represents the storage for root file system, which will be consumed by containers' writable layer and logs. Some volumes such as emptyDir might also consume this storage. ([#60159](https://github.com/kubernetes/kubernetes/pull/60159),...

  - `requests.deviceclass.resource.k8s.io/<deviceclass>` is charged based on the worst-case number of devices requested.
  - Device classes mapping to an extended resource now consume `requests.<extended resource name>`. ([#134210](https://github.com/kubernetes/kubernetes/pull/134210), [@yliaog](https://github.com/yliaog)) [SIG API Machinery, Apps, Node, Scheduling and Testing]

		defer xioutil.SafeClose(diffCh)
		for res := range objInfoCh {
			if res.Err != nil {
				diffCh <- madmin.DiffInfo{Err: res.Err}
				return
			}
			if contextCanceled(ctx) {
				// Just consume input...
				continue
			}
			obj := res.Item

			// Ignore object prefixes which are excluded
			// from versioning via the MinIO bucket versioning extension.

### Memoria por Proceso { #memory-per-process }

Ahora, cuando el programa carga cosas en memoria, por ejemplo, un modelo de Machine Learning en una variable, o el contenido de un archivo grande en una variable, todo eso **consume un poco de la memoria (RAM)** del servidor.

- Increase default value of discovery cache TTL for kubectl to 6 hours. ([#107141](https://github.com/kubernetes/kubernetes/pull/107141), [@mk46](https://github.com/mk46))
- Introduce policy to allow the HPA to consume the `external.metrics.k8s.io` API group. ([#104244](https://github.com/kubernetes/kubernetes/pull/104244), [@dgrisonnet](https://github.com/dgrisonnet))

- Fixes a flaw (CVE-2019-11253) in json/yaml decoding where large or malformed documents could consume excessive server resources. Request bodies for normal API requests (create/delete/update/patch operations of regular resources) are now limited to 3MB. ([#83261](https://github.com/kubernetes/kubernetes/pull/83261), [@liggitt](https://github.com/liggitt))...