}

// Tests validate the order of result of ListBuckets.
func testListBucketsOrder(obj ObjectLayer, instanceType string, t TestErrHandler) {
	// if implementation contains a map, order of map keys will vary.
	// this ensures they return in the same order each time.
	// add one and test exists.
	err := obj.MakeBucket(context.Background(), "bucket1", MakeBucketOptions{})
	if err != nil {

	replicateNone     replicationAction = "none"
	replicateAll      replicationAction = "all"
)

// matches k1 with all keys, returns 'true' if one of them matches
func equals(k1 string, keys ...string) bool {
	for _, k2 := range keys {
		if strings.EqualFold(k1, k2) {
			return true
		}
	}
	return false
}

		// Make sure we skip free-version-id, similar to AddVersion()
		if len(k) > len(ReservedMetadataPrefixLower) && strings.EqualFold(k[:len(ReservedMetadataPrefixLower)], ReservedMetadataPrefixLower) {
			// Skip tierFVID, tierFVMarker keys; it's used
			// only for creating free-version.
			switch k {
			case tierFVIDKey, tierFVMarkerKey:
				continue
			}
		}
		if equals(k, "x-amz-storage-class") && string(v) == storageclass.STANDARD {

if (typeof callable !== 'undefined') {\n      // Simplest case: handler is passed, remove that listener ONLY.\n      if (!Object.keys(storeElementEvent).length) {\n        return\n      }\n\n      removeHandler(element, events, typeEvent, callable, isDelegated ? handler : null)\n      return\n    }\n\n    if (isNamespace) {\n      for (const elementEvent of Object.keys(events)) {\n        removeNamespacedHandlers(element, events, elementEvent, originalTypeEvent.slice(1))\n      }\n    }\n\n    for...

	const maxBodySize = 2 * 100000 * 1024

	if r.ContentLength > maxBodySize {
		writeErrorResponse(ctx, w, errorCodes.ToAPIErr(ErrEntityTooLarge), r.URL)
		return
	}

	// Unmarshal list of keys to be deleted.
	deleteObjectsReq := &DeleteObjectsRequest{}
	if err := xmlDecoder(r.Body, deleteObjectsReq, maxBodySize); err != nil {
		writeErrorResponse(ctx, w, toAPIError(ctx, err), r.URL)
		return
	}

		// Optimization for Spark/Hadoop workload where spark sends a garbage
		// request of this kind
		//
		// GET /testbucket/?list-type=2&delimiter=%2F&max-keys=2&prefix=parquet%2F_SUCCESS%2F&fetch-owner=false
		//
		// Here spark is expecting that the List() return empty instead, so from MinIO's point

                    handle.close();
                }
            }
        }
    }

    /**
     * This specialized method returns a Map of users and local groups for the
     * target server where keys are SIDs representing an account and each value
     * is an ArrayList of SIDs represents the local groups that the account is
     * a member of.
     *

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    Segment<Object, Object, ?, ?> segment = map.segments[0];
    assertEquals(1, segment.table.length());

    // manually add elements to avoid expansion
    // 1/3 null keys, 1/3 null values
    int originalCount = 1024;
    InternalEntry<Object, Object, ?> entry = null;
    for (int i = 0; i < originalCount; i++) {
      Object key = new Object();

    Segment<Object, Object, ?, ?> segment = map.segments[0];
    assertEquals(1, segment.table.length());

    // manually add elements to avoid expansion
    // 1/3 null keys, 1/3 null values
    int originalCount = 1024;
    InternalEntry<Object, Object, ?> entry = null;
    for (int i = 0; i < originalCount; i++) {
      Object key = new Object();