est(e.name)&&ie.console.warn("jQuery.Deferred exception: "+e.message,e.stack,t)},ce.readyException=function(e){ie.setTimeout(function(){throw e})};var O=ce.Deferred();function P(){C.removeEventListener("DOMContentLoaded",P),ie.removeEventListener("load",P),ce.ready()}ce.fn.ready=function(e){return O.then(e)["catch"](function(e){ce.readyException(e)}),this},ce.extend({isReady:!1,readyWait:1,ready:function(e){(!0===e?--ce.readyWait:ce.isReady)||(ce.isReady=!0)!==e&&0<--ce.readyWait||O.resolveWith(...

Here's a visual representation of how the **proxy** adds forwarded headers between the client and the **application server**:

```mermaid
sequenceDiagram
    participant Client
    participant Proxy as Proxy/Load Balancer
    participant Server as FastAPI Server

    Client->>Proxy: HTTPS Request<br/>Host: mysuperapp.com<br/>Path: /items

    Note over Proxy: Proxy adds forwarded headers

        xpathAPICache =
                CacheBuilder.newBuilder().expireAfterAccess(cacheDuration, TimeUnit.MINUTES).build(new CacheLoader<String, XPathAPI>() {
                    @Override
                    public XPathAPI load(final String key) {
                        if (logger.isDebugEnabled()) {
                            logger.debug("created XPathAPI by {}", key);
                        }
                        return new XPathAPI();

Aquí tienes una representación visual de cómo el **proxy** añade headers reenviados entre el cliente y el **application server**:

```mermaid
sequenceDiagram
    participant Client as Cliente
    participant Proxy as Proxy/Load Balancer
    participant Server as Servidor de FastAPI

    Client->>Proxy: HTTPS Request<br/>Host: mysuperapp.com<br/>Path: /items

    Note over Proxy: El proxy añade headers reenviados

the target cluster. Depending on the number of previously existing objects, the existing objects that are now eligible to be replicated will eventually be synced to the target cluster as the scanner schedules them. This may be slower depending on the load on the cluster, latency and size of the namespace.

In the rare event that target DR site is entirely lost and previously replicated objects to the DR cluster need to be re-replicated, `mc replicate resync start alias/bucket --remote-bucket...

   * is called. This will fail if the iterator is infinite and may cause problems if the iterator
   * eagerly fetches data for each source when iterated (rather than producing sources that only
   * load data through their streams). Prefer using the {@link #concat(Iterable)} overload if
   * possible.
   *
   * @param sources the sources to concatenate
   * @return a {@code CharSource} containing the concatenated data

   * is called. This will fail if the iterator is infinite and may cause problems if the iterator
   * eagerly fetches data for each source when iterated (rather than producing sources that only
   * load data through their streams). Prefer using the {@link #concat(Iterable)} overload if
   * possible.
   *
   * @param sources the sources to concatenate
   * @return a {@code CharSource} containing the concatenated data

* Add a label which prevents a node from being added to a cloud load balancer ([#53146](https://github.com/kubernetes/kubernetes/pull/53146), [@brendandburns](https://github.com/brendandburns))

- [KCCM] drop filtering nodes for the providerID when syncing load balancers, but have changes to the field trigger a re-sync of load balancers. This should ensure that cloud providers which don't specify providerID, can still use the service controller implementation to provision load balancers. ([#117602](https://github.com/kubernetes/kubernetes/pull/117602), [@alexanderConstantinescu](https://github.com/alexanderConstantinescu))...

common:elinux_armhf --copt -mfp16-format=ieee

# Config-specific options should come above this line.

# Load rc file written by ./configure.
try-import %workspace%/.tf_configure.bazelrc

# Load rc file with user-specific options.
try-import %workspace%/.bazelrc.user

# Here are bazelrc configs for release builds
# Build TensorFlow v2.