*  Breaking: Reorder the parameters in the Cache constructor that was introduced in 5.0.0-alpha.3.

 *  New: `Request.Builder.cacheUrlOverride()` customizes the cache key used for a request. This can
    be used to make canonical URLs for the cache that omit insignificant query parameters or other
    irrelevant data.

    This feature may be used with `POST` requests to cache their responses. In such cases the

        uses: actions/setup-java@dded0888837ed1f317902acf8a20df0ad188d165 # v5.0.0
        with:
          java-version: |
            ${{ matrix.java }}
            25
          distribution: 'temurin'
          cache: 'maven'
      - name: 'Install'
        shell: bash
        run: ./mvnw -B -Dorg.slf4j.simpleLogger.log.org.apache.maven.cli.transfer.Slf4jMavenTransferListener=warn -Dtoolchain.skip install -U -DskipTests=true -f $ROOT_POM

  fstype: ext3
```

([#56147](https://github.com/kubernetes/kubernetes/pull/56147), [@andyzhangx](https://github.com/andyzhangx))

### Scheduling

* Fixed a bug the in scheduler cache by using Pod UID as the cache key instead of namespace/name ([#61069](https://github.com/kubernetes/kubernetes/pull/61069), [@anfernee](https://github.com/anfernee))

// along with this program.  If not, see <http://www.gnu.org/licenses/>.

package http

import (
	"context"
	"net"
	"time"
)

// LookupHost is a function to make custom lookupHost for optional cached DNS requests
type LookupHost func(ctx context.Context, host string) (addrs []string, err error)

// DialContextWithLookupHost is a helper function which returns `net.DialContext` function.

#      Ex. no_upload      -- Disable all uploads, usually for temporary CI issues

# Recommended: use a local+remote cache.
#
#   Bazel will cache your builds in tensorflow/build_output/cache,
#   and will also try using public build cache results to speed up
#   your builds. This usually saves a lot of time, especially when
#   re-running tests. However, note that:
#

    taskFaker.runNextTask()

    // The rebuild is retried on cache hits and on cache edits.
    val snapshot = cache["b"]!!
    snapshot.close()
    assertThat(cache.edit("d")).isNull()
    assertThat(taskFaker.isIdle()).isFalse()

    // On cache misses, no retry job is queued.
    assertThat(cache["c"]).isNull()
    assertThat(taskFaker.isIdle()).isFalse()

		return selected, true
	}

	// If cached is nil we shall skip the entry.
	if selected.cached == nil {
		return nil, false
	}

	// Merge if we have disagreement.
	// Create a new merged result.
	selected = &metaCacheEntry{
		name:     selected.name,
		reusable: true,
		cached:   &xlMetaV2{metaV: selected.cached.metaV},
	}

In an advanced scenario where you know you need the dependency to be called at every step (possibly multiple times) in the same request instead of using the "cached" value, you can set the parameter `use_cache=False` when using `Depends`:

   * the network, such as when the response is fully cached. The body of the returned response
   * should not be read.
   */
  @get:JvmName("networkResponse") val networkResponse: Response?,
  /**
   * Returns the raw response received from the cache. Will be null if this response didn't use
   * the cache. For conditional get requests the cache response and network response may both be

{* ../../docs_src/extending_openapi/tutorial001_py39.py hl[22:24] *}

### Cachear el esquema de OpenAPI { #cache-the-openapi-schema }

Puedes usar la propiedad `.openapi_schema` como un "cache", para almacenar tu esquema generado.

De esa forma, tu aplicación no tendrá que generar el esquema cada vez que un usuario abra la documentación de tu API.