if (addedToBuffer && arg.endsWith("\"")) {
                // if we're building an argument, keep doing so.
                // if this is the case of "-Dfoo=bar", then we need to adjust the buffer.
                if (!currentArg.isEmpty()) {
                    currentArg.setLength(currentArg.length() - 1);
                }

                cleaned.add(currentArg.toString());

_2016-02-06_

 *  Fix: Permit the trusted CA root to be pinned by `CertificatePinner`.


## Version 2.7.2

_2016-01-07_

 *  Fix: Don't eagerly release stream allocations on cache hits. We might still
    need them to handle redirects.


## Version 2.7.1

_2016-01-01_

 *  Fix: Don't do a health check on newly-created connections. This is
    unnecessary work that could put the client in an inconsistent state if the

    if (length == 0) {
      return of();
    }
    return new RegularImmutableList<E>(elements, length);
  }

  ImmutableList() {}

  // This declaration is needed to make List.iterator() and
  // ImmutableCollection.iterator() consistent.
  @Override
  public UnmodifiableIterator<E> iterator() {
    return listIterator();
  }

  @Override

include Minio's own certificate with key `public.crt`, if it also needs to be trusted. For instance, given that TLS is enabled and you need to add trust for Minio's own CA and for the CA of a Keycloak server, a Kubernetes secret can be created from the certificate files using `kubectl`: ``` kubectl -n minio create secret generic minio-trusted-certs --from-file=public.crt --from-file=keycloak.crt ``` If TLS is not enabled, you would need only the third party CA: ``` kubectl -n minio create secret generic...

![Grafana](https://raw.githubusercontent.com/minio/minio/master/docs/metrics/prometheus/grafana/node/grafana-node.png)

# Initialize the TensorFlow repository and all dependencies.
#
# The cascade of load() statements and tf_workspace?() calls works around the
# restriction that load() statements need to be at the top of .bzl files.
# E.g. we can not retrieve a new repository with http_archive and then load()
# a macro from that repository in the same file.
load("@//tensorflow:workspace3.bzl", "tf_workspace3")

 * </ul>
 *
 * <p>This annotation is a temporary hack. We will remove it after <a
 * href="https://github.com/google/guava/issues/6126#issuecomment-1203145963">tools no longer need
 * it</a>.
 */
@GwtCompatible
@Retention(CLASS)
@Target({FIELD, METHOD, PARAMETER})

 * </ul>
 *
 * <p>This annotation is a temporary hack. We will remove it after <a
 * href="https://github.com/google/guava/issues/6126#issuecomment-1203145963">tools no longer need
 * it</a>.
 */
@GwtCompatible
@Retention(CLASS)
@Target({FIELD, METHOD, PARAMETER})

 * </ul>
 *
 * <p>This annotation is a temporary hack. We will remove it after <a
 * href="https://github.com/google/guava/issues/6126#issuecomment-1203145963">tools no longer need
 * it</a>.
 */
@GwtCompatible
@Retention(CLASS)
@Target({FIELD, METHOD, PARAMETER})

package config

import (
	"crypto/x509"
	"crypto/x509/pkix"
	"fmt"
	"net/http"
	"strings"

	color "github.com/minio/minio/internal/color"
)

// Extra ASN1 OIDs that we may need to handle
var (
	oidEmailAddress = []int{1, 2, 840, 113549, 1, 9, 1}
)

// printName prints the fields of a distinguished name, which include such
// things as its common name and locality.