"context"
	"crypto/rand"
	"encoding/binary"
	"encoding/json"
	"encoding/xml"
	"errors"
	"fmt"
	"path"
	"time"

	"github.com/minio/madmin-go/v3"
	"github.com/minio/minio-go/v7/pkg/tags"
	bucketsse "github.com/minio/minio/internal/bucket/encryption"
	"github.com/minio/minio/internal/bucket/lifecycle"
	objectlock "github.com/minio/minio/internal/bucket/object/lock"
	"github.com/minio/minio/internal/bucket/replication"

	return sys.initialized
}

// Loads bucket metadata for all buckets into BucketMetadataSys.
func (sys *BucketMetadataSys) init(ctx context.Context, buckets []string) {
	count := globalEndpoints.ESCount() * 10
	for {
		if len(buckets) < count {
			sys.concurrentLoad(ctx, buckets)
			break
		}
		sys.concurrentLoad(ctx, buckets[:count])
		buckets = buckets[count:]
	}

	sys.Lock()
	sys.initialized = true

}

// SelectionFunction for buckets
type SelectionFunction func(bucket string) bool

// SelectBuckets will select all the buckets passed in.
func SelectBuckets(buckets ...string) SelectionFunction {
	if len(buckets) == 0 {
		return func(bucket string) bool {
			return true
		}
	}
	return func(bucket string) bool {
		return slices.Contains(buckets, bucket)
	}
}

## Highlights

- Supports source and destination buckets to have the same name unlike AWS S3, addresses variety of use-cases such as *Splunk*, *Veeam* site to site DR.
- Supports object locking/retention across source and destination buckets natively out of the box, unlike AWS S3.

func initFederatorBackend(buckets []string, objLayer ObjectLayer) {
	if len(buckets) == 0 {
		return
	}

	// Get buckets in the DNS
	dnsBuckets, err := globalDNSConfig.List()
	if err != nil && !IsErrIgnored(err, dns.ErrNoEntriesFound, dns.ErrNotImplemented, dns.ErrDomainMissing) {
		dnsLogIf(GlobalContext, err)
		return
	}

	bucketsSet := set.NewStringSet()

				}
				return info, errSRBackendIssue(err)
			}
			buckets = append(buckets, bi)
		} else {
			buckets, err = objAPI.ListBuckets(ctx, BucketOptions{Deleted: opts.ShowDeleted})
			if err != nil {
				return info, errSRBackendIssue(err)
			}
		}
		info.Buckets = make(map[string]madmin.SRBucketInfo, len(buckets))
		for _, bucketInfo := range buckets {
			bucket := bucketInfo.Name

		Cache: make(map[string]dataUsageEntry, len(oldCache.Cache)),
	}

	// Put all buckets into channel.
	bucketCh := make(chan BucketInfo, len(buckets))

	// Shuffle buckets to ensure total randomness of buckets, being scanned.
	// Otherwise same set of buckets get scanned across erasure sets always.
	// at any given point in time. This allows different buckets to be scanned
	// in different order per erasure set, this wider spread is needed when

   */
  public static int consistentHash(HashCode hashCode, int buckets) {
    return consistentHash(hashCode.padToLong(), buckets);
  }

  /**
   * Assigns to {@code input} a "bucket" in the range {@code [0, buckets)}, in a uniform manner that
   * minimizes the need for remapping as {@code buckets} grows. That is, {@code consistentHash(h,
   * n)} equals:
   *
   * <ul>

  static Object createTable(int buckets) {
    if (buckets < 2
        || buckets > Ints.MAX_POWER_OF_TWO
        || Integer.highestOneBit(buckets) != buckets) {
      throw new IllegalArgumentException("must be power of 2 between 2^1 and 2^30: " + buckets);
    }
    if (buckets <= BYTE_MAX_SIZE) {
      return new byte[buckets];
    } else if (buckets <= SHORT_MAX_SIZE) {

            });
            final Terms agg = list.getAggregations().get(SearchLogPager.LOG_TYPE_CLICK_COUNT);
            final List<? extends Terms.Bucket> buckets = agg.getBuckets();
            updatePagerByAgg(pager, buckets.size());
            return buckets.stream().map(e -> {
                final Map<String, Object> map = new HashMap<>();