}

	type Author struct {
		ID          string
		Name        string
		Email       string
		Age         int
		Content     Content
		ContentPtr  *Content
		Birthday    time.Time
		BirthdayPtr *time.Time
	}

	type HNPost struct {
		*BasePost
		Upvotes int32
		*Author `gorm:"EmbeddedPrefix:user_"` // Embedded struct
	}

	DB.Migrator().DropTable(&HNPost{})

    /**
     * @throws Exception
     */
    @Test
    public void testGetAsObjectAndGetAsString() throws Exception {
        final TimeConverter converter = new TimeConverter("HH:mm:ss");
        final java.sql.Time result = (java.sql.Time) converter.getAsObject("12:34:56");
        System.out.println(result);
        assertThat(converter.getAsString(result), is("12:34:56"));
    }

    /**
     * @throws Exception
     */

//
// 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 (
	"context"
	"time"
)

const (
	usageSinceLastUpdateSeconds   = "since_last_update_seconds"
	usageTotalBytes               = "total_bytes"
	usageObjectsCount             = "count"
	usageVersionsCount            = "versions_count"

/**
 * A TimeLimiter implementation which actually does not attempt to limit time at all. This may be
 * desirable to use in some unit tests. More importantly, attempting to debug a call which is
 * time-limited would be extremely annoying, so this gives you a time-limiter you can easily swap in
 * for your real time-limiter while you're debugging.
 *
 * @author Kevin Bourrillion
 * @author Jens Nyman
 * @since 1.0

type User struct {
	gorm.Model
	Name      string
	Age       uint
	Birthday  *time.Time
	Account   Account
	Pets      []*Pet
	NamedPet  *Pet
	Toys      []Toy   `gorm:"polymorphic:Owner"`
	Tools     []Tools `gorm:"polymorphicType:Type;polymorphicId:CustomID"`
	CompanyID *int
	Company   Company
	ManagerID *uint
	Manager   *User
	Team      []User     `gorm:"foreignkey:ManagerID"`

		lookupHost = net.DefaultResolver.LookupHost
	}

	if baseDialCtx == nil {
		// This is same as which `http.DefaultTransport` uses.
		baseDialCtx = (&net.Dialer{
			Timeout:   30 * time.Second,
			KeepAlive: 30 * time.Second,
		}).DialContext
	}

	return func(ctx context.Context, network, addr string) (conn net.Conn, err error) {
		host, port, err := net.SplitHostPort(addr)
		if err != nil {
			return nil, err

Realistically, that means the best we can do is:
* Ensure that, at any point in time, any _new_ connections will succeed. There is no period where new connections are dropped.
* Provide some period of time for the old Ztunnel to continue processing any established connections.

If this period of time ("drain period") is longer than any connections, there is zero impact on applications at all.

import com.google.common.annotations.GwtIncompatible;
import com.google.common.annotations.J2ktIncompatible;
import com.google.common.base.Preconditions;
import com.google.errorprone.annotations.CanIgnoreReturnValue;
import java.time.Duration;
import java.util.concurrent.BlockingQueue;
import java.util.concurrent.CancellationException;
import java.util.concurrent.CountDownLatch;
import java.util.concurrent.ExecutionException;

While you are waiting, you go with your crush and pick a table, you sit and talk with your crush for a long time (as your burgers are very fancy and take some time to prepare).

As you are sitting at the table with your crush, while you wait for the burgers, you can spend that time admiring how awesome, cute and smart your crush is ✨😍✨.

<img src="/img/async/concurrent-burgers/concurrent-burgers-05.png" class="illustration">

		return nil
	}
	numSites := len(c.state.Peers)
	mostRecent := func(d1, d2 time.Time) time.Time {
		if d1.IsZero() {
			return d2
		}
		if d2.IsZero() {
			return d1
		}
		if d1.After(d2) {
			return d1
		}
		return d2
	}

	var (
		latestID   string
		lastUpdate time.Time
		withB      []string
		missingB   []string
		deletedCnt int
	)