```
~ mc admin config set alias/ scanner
KEY:
scanner  manage namespace scanning for usage calculation, lifecycle, healing and more

ARGS:

		<name>CodeLibs</name>
		<url>https://fess.codelibs.org/</url>
	</organization>
	<issueManagement>
		<url>https://github.com/codelibs/fess/issues</url>
	</issueManagement>
	<scm>
		<connection>scm:git:******@****.***:codelibs/fess.git</connection>
		<developerConnection>scm:git:******@****.***:codelibs/fess.git</developerConnection>
		<url>https://github.com/codelibs/fess</url>
	</scm>
	<parent>
		<groupId>org.codelibs.fess</groupId>

		return
	}

	// We have to establish a TLS connection and the
	// client must provide exactly one client certificate.
	// Otherwise, we don't have a certificate to verify or
	// the policy lookup would ambiguous.
	if r.TLS == nil {
		writeSTSErrorResponse(ctx, w, ErrSTSInsecureConnection, errors.New("No TLS connection attempt"))
		return
	}

                                 * sent. Unfortunately calling disconnect() doesn't always
                                 * actually shutdown the connection before other threads
                                 * have committed themselves (e.g. InterruptTest example).
                                 */

   risk as to the quality and performance of the Covered Software is with You.
   Should any Covered Software prove defective in any respect, You (not any
   Contributor) assume the cost of any necessary servicing, repair, or
   correction. This disclaimer of warranty constitutes an essential part of this
   License. No use of  any Covered Software is authorized under this License
   except under this disclaimer.

7. Limitation of Liability

#include "tensorflow/core/common_runtime/pluggable_device/pluggable_device_plugin_init.h"
#include "tensorflow/core/distributed_runtime/rpc/grpc_server_lib.h"
#include "tensorflow/core/framework/collective.h"
#include "tensorflow/core/framework/node_def.pb.h"
#include "tensorflow/core/framework/shape_inference.h"
#include "tensorflow/core/framework/tensor.pb.h"
#include "tensorflow/core/graph/graph.h"

   risk as to the quality and performance of the Covered Software is with You.
   Should any Covered Software prove defective in any respect, You (not any
   Contributor) assume the cost of any necessary servicing, repair, or
   correction. This disclaimer of warranty constitutes an essential part of this
   License. No use of  any Covered Software is authorized under this License
   except under this disclaimer.

7. Limitation of Liability

  /*
   * The Finalizer thread keeps a phantom reference to this object. When the client (for example, a
   * map built by MapMaker) no longer has a strong reference to this object, the garbage collector
   * will reclaim it and enqueue the phantom reference. The enqueued reference will trigger the
   * Finalizer to stop.
   *
   * If this library is loaded in the system class loader, FinalizableReferenceQueue can load

type BucketRemoteTargetNotFound GenericError

func (e BucketRemoteTargetNotFound) Error() string {
	return "Remote target not found: " + e.Bucket
}

// RemoteTargetConnectionErr remote target connection failure.
type RemoteTargetConnectionErr struct {
	Err       error
	Bucket    string
	Endpoint  string
	AccessKey string
}

func (e RemoteTargetConnectionErr) Error() string {
	if e.Bucket != "" {

  TensorHandlePtr parallel_value = CreatePerDeviceValues(
      context.get(), components, device_name, status.get());
  ASSERT_EQ(TF_GetCode(status.get()), TF_OK) << TF_Message(status.get());

  // Run a collective sum, so each component should now be the same.
  TensorHandlePtr reduced(
      CollectiveSum(context.get(), parallel_value.get(), 2, status.get()));
  ASSERT_EQ(TF_GetCode(status.get()), TF_OK) << TF_Message(status.get());