package cmd

import (
	"context"
	"testing"

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

// Tests lock rpc client.
func TestLockRESTlient(t *testing.T) {
	// These should not be connectable.
	endpoint, err := NewEndpoint("http://localhost:9876")
	if err != nil {
		t.Fatalf("unexpected error %v", err)
	}
	endpointLocal, err := NewEndpoint("http://localhost:9012")
	if err != nil {

// You should have received a copy of the GNU Affero General Public License
// along with this program.  If not, see <http://www.gnu.org/licenses/>.

package cmd

import "runtime"

// DO NOT EDIT THIS FILE DIRECTLY. These are build-time constants
// set through ‘buildscripts/gen-ldflags.go’.
var (
	// GOPATH - GOPATH value at the time of build.
	GOPATH = ""

	// GOROOT - GOROOT value at the time of build.
	GOROOT = ""

    /**
     * The collection of rendered documentation.  This is everything laid out as it would be deployed/packaged.
     */
    public abstract ConfigurableFileCollection getRenderedDocumentation();

    // These are all helper methods for configuring the parts of the documentation (DSL ref, javadoc, user manual, etc).
    public ReleaseNotes getReleaseNotes() {
        return releaseNotes;
    }

  // Annotations is a list of key-value pairs extracted from the Pod's annotations.
  // It only includes keys which match the pattern `*.image-policy.k8s.io/*`.
  // It is up to each webhook backend to determine how to interpret these annotations, if at all.
  // +optional
  map<string, string> annotations = 2;

  // Namespace is the namespace the pod is being created in.
  // +optional
  optional string namespace = 3;
}

/**
 * Contains constant definitions for the six standard {@link Charset} instances, which are
 * guaranteed to be supported by all Java platform implementations.
 *
 * <p>Assuming you're free to choose, note that <b>{@link #UTF_8} is widely preferred</b>.
 *
 * <p>See the Guava User Guide article on <a
 * href="https://github.com/google/guava/wiki/StringsExplained#charsets">{@code Charsets}</a>.
 *
 * @author Mike Bostock

re{content:"\f560"}.fa-check-square:before{content:"\f14a"}.fa-cheese:before{content:"\f7ef"}.fa-chess:before{content:"\f439"}.fa-chess-bishop:before{content:"\f43a"}.fa-chess-board:before{content:"\f43c"}.fa-chess-king:before{content:"\f43f"}.fa-chess-knight:before{content:"\f441"}.fa-chess-pawn:before{content:"\f443"}.fa-chess-queen:before{content:"\f445"}.fa-chess-rook:before{content:"\f447"}.fa-chevron-circle-down:before{content:"\f13a"}.fa-chevron-circle-left:before{content:"\f137"}.fa-chev...

 *
 * <p><b>Important note:</b> Unlike {@code InetAddress.getByName()}, the methods of this class never
 * cause DNS services to be accessed. For this reason, you should prefer these methods as much as
 * possible over their JDK equivalents whenever you are expecting to handle only IP address string
 * literals -- there is no blocking DNS penalty for a malformed string.
 *

   * This is useful if the given service uses daemon threads, and we want to keep the JVM from
   * exiting immediately on shutdown, instead giving these daemon threads a chance to terminate
   * normally.
   *
   * @param service ExecutorService which uses daemon threads
   * @param terminationTimeout how long to wait for the executor to finish before terminating the

	if err == nil {
		t.Fatalf("should returns error but got nil")
	}
}

func TestReturningWithNullToZeroValues(t *testing.T) {
	dialect := DB.Dialector.Name()
	switch dialect {
	case "mysql", "sqlserver":
		// these dialects do not support the "returning" clause
		return
	default:
		// This user struct will leverage the existing users table, but override
		// the Name field to default to null.
		type user struct {
			gorm.Model

   **2. Installing **TensorFlow** (TF) CPU prebuilt binaries**
   
   
   *TensorFlow release binaries version 1.6 and higher are prebuilt with AVX instruction sets.*
   
   
   Therefore on any CPU that does not have these instruction sets, either CPU or GPU version of TF will fail to load.
   
   Apparently, your CPU model does not support AVX instruction sets. You can still use TensorFlow with the alternatives given below: