name}") 2. kubectl port-forward $POD_NAME 9000 --namespace {{ .Release.Namespace }} Read more about port forwarding here: http://kubernetes.io/docs/user-guide/kubectl/kubectl_port-forward/ You can now access MinIO server on http://localhost:9000. Follow the below steps to connect to MinIO server with mc client: 1. Download the MinIO mc client - https://min.io/docs/minio/linux/reference/minio-mc.html#quickstart 2. export MC_HOST_{{ template "minio.fullname" . }}-local=http://$(kubectl get secret --namespace...

name}") 2. kubectl port-forward $POD_NAME 9000 --namespace {{ .Release.Namespace }} Read more about port forwarding here: http://kubernetes.io/docs/user-guide/kubectl/kubectl_port-forward/ You can now access MinIO server on http://localhost:9000. Follow the below steps to connect to MinIO server with mc client: 1. Download the MinIO mc client - https://min.io/docs/minio/linux/reference/minio-mc.html#quickstart 2. export MC_HOST_{{ template "minio.fullname" . }}-local=http://$(kubectl get secret --namespace...

name}") 2. kubectl port-forward $POD_NAME 9000 --namespace {{ .Release.Namespace }} Read more about port forwarding here: http://kubernetes.io/docs/user-guide/kubectl/kubectl_port-forward/ You can now access MinIO server on http://localhost:9000. Follow the below steps to connect to MinIO server with mc client: 1. Download the MinIO mc client - https://min.io/docs/minio/linux/reference/minio-mc.html#quickstart 2. export MC_HOST_{{ template "minio.fullname" . }}-local=http://$(kubectl get secret --namespace...

 *       SMALL_DELAY_MS}, {@code MEDIUM_DELAY_MS}, {@code LONG_DELAY_MS}. The idea here is that a
 *       SHORT is always discriminable from zero time, and always allows enough time for the small
 *       amounts of computation (creating a thread, calling a few methods, etc) needed to reach a
 *       timeout point. Similarly, a SMALL is always discriminable as larger than SHORT and smaller

kube-controller manager now use SO_REUSEPORT socket option when listening on address defined by --bind-address and --secure-port flags, when running on Unix systems (Windows is NOT supported). This allows to run multiple instances of those processes on a single host with the same configuration, which allows to update/restart them in a graceful way, without causing downtime. ([#88893](https://github.com/kubernetes/kubernetes/pull/88893), [@invidian](https://github.com/invidian)) [SIG API Machinery, Scheduling...

 * equals</i>. That is, {@code a.compareTo(b)} or {@code comparator.compare(a, b)} should equal zero
 * <i>if and only if</i> {@code a.equals(b)}. If this advice is not followed, the resulting
 * collection will not correctly obey its specification.
 *
 * <p>See the Guava User Guide article on <a href=
 * "https://github.com/google/guava/wiki/ImmutableCollectionsExplained">immutable collections</a>.

	if negative {
		frameSize = -frameSize
	}
	op = op[1:]
	argSize := int64(abi.ArgsSizeUnknown)
	if len(op) > 0 {
		// There is an argument size. It must be a minus sign followed by a non-negative integer literal.
		if len(op) != 2 || op[0].ScanToken != '-' || op[1].ScanToken != scanner.Int {
			p.errorf("TEXT %s: argument size must be of form -integer", name)
			return
		}

   *     values
   * @param remainingValuesInOrder the rest of the values that the returned comparator will be able
   *     to compare, in the order the comparator should follow
   * @return the comparator described above
   * @throws NullPointerException if any of the provided values is null
   * @throws IllegalArgumentException if any duplicate values (according to {@link

	writeResponse(w, err.HTTPStatusCode, encodedErrorResponse, mimeJSON)
}

// writeCustomErrorResponseJSON - similar to writeErrorResponseJSON,
// but accepts the error message directly (this allows messages to be
// dynamically generated.)
func writeCustomErrorResponseJSON(ctx context.Context, w http.ResponseWriter, err APIError,
	errBody string, reqURL *url.URL,
) {
	reqInfo := logger.GetReqInfo(ctx)

    visibility = ["//visibility:public"],
)

# By default, XLA GPU is compiled into tensorflow when building with
# --config=cuda even when `with_xla_support` is false. The config setting
# here allows us to override the behavior if needed.
config_setting(
    name = "no_xla_deps_in_cuda",
    define_values = {"no_xla_deps_in_cuda": "true"},
    visibility = ["//visibility:public"],
)