import java.util.List;
import java.util.Map;
import java.util.Map.Entry;
import junit.framework.TestCase;

/**
 * Tests for {@link Types}.
 *
 * @author Ben Yu
 */
@AndroidIncompatible // lots of failures, possibly some related to bad equals() implementations?
public class TypesTest extends TestCase {
  public void testNewParameterizedType_ownerTypeImplied() throws Exception {
    ParameterizedType jvmType =

		*data = []byte(s[3:])
		return nil
	}

	return errors.New("Bytes expected")
}

func (data EncryptedData) Value() (driver.Value, error) {
	if len(data) > 0 && data[0] == 'x' {
		// needed to test failures
		return nil, errors.New("Should not start with 'x'")
	}

	// prepend asterisks
	return append([]byte("***"), data...), nil
}

type Num int64

func (i *Num) Scan(src interface{}) error {

import java.lang.reflect.Type;
import java.util.List;
import java.util.Map;
import junit.framework.TestCase;

/**
 * Unit tests of {@link TypeResolver}.
 *
 * @author Ben Yu
 */
@AndroidIncompatible // lots of failures, possibly some related to bad equals() implementations?
public class TypeResolverTest extends TestCase {

  public void testWhere_noMapping() {
    Type t = aTypeVariable();

	// Total Size for objects that have not yet been replicated
	ReplicationPendingSizeV1 uint64 `json:"objectsPendingReplicationTotalSize"`
	// Total size for objects that have witness one or more failures and will be retried
	ReplicationFailedSizeV1 uint64 `json:"objectsFailedReplicationTotalSize"`
	// Total size for objects that have been replicated to destination
	ReplicatedSizeV1 uint64 `json:"objectsReplicatedTotalSize"`

   * slots that eliminates collisions. When we reach capacity, we
   * search for this mapping by randomly varying the hash codes of
   * colliding threads.  Because search is random, and collisions
   * only become known via CAS failures, convergence can be slow,
   * and because threads are typically not bound to CPUS forever,
   * may not occur at all. However, despite these limitations,
   * observed contention rates are typically low in these cases.
   *

		store.StreamItems(target.store, target, target.quitCh, target.loggerOnce)
	}

	return target, nil
}

func isKafkaConnErr(err error) bool {
	// Sarama opens the circuit breaker after 3 consecutive connection failures.
	return err == sarama.ErrLeaderNotAvailable || err.Error() == "circuit breaker is open"

 5. It sends the HTTP request and reads the response.

`PENDING` to `COMPLETED` or `FAILED` after replication attempt either succeeded or failed respectively. On the destination side, a `X-Amz-Replication-Status` status of `REPLICA` indicates that the object was replicated successfully. Any replication failures are automatically re-attempted during a periodic disk scanner cycle.

To perform bi-directional replication, repeat the above process on the target site - this time setting the source bucket as the replication target. It is recommended...

		},
		Totals: madmin.RStat{
			Count: float64(rt.SinceUptime.Count),
			Bytes: rt.SinceUptime.Bytes,
		},
		ErrCounts: errCounts,
	}
}

func (rt *RTimedMetrics) addsize(size int64, err error) {
	// failures seen since uptime
	atomic.AddInt64(&rt.SinceUptime.Bytes, size)
	atomic.AddInt64(&rt.SinceUptime.Count, 1)
	rt.LastMinute.addsize(size)
	rt.LastHour.addsize(size)

	// Completed size in bytes
	ReplicatedSize int64 `json:"completedReplicationSize"`
	// Total Replica size in bytes
	ReplicaSize int64 `json:"replicaSize"`
	// Collect stats for failures
	FailStats RTimedMetrics `json:"-"`

	// Total number of failed operations including metadata updates in the last minute
	Failed madmin.TimedErrStats `json:"failed"`
	// Total number of completed operations