}
	// Read header
	switch binary.LittleEndian.Uint16(data[0:2]) {
	case bucketMetadataFormat:
	default:
		return b, fmt.Errorf("loadBucketMetadata: unknown format: %d", binary.LittleEndian.Uint16(data[0:2]))
	}
	switch binary.LittleEndian.Uint16(data[2:4]) {
	case bucketMetadataVersion:
	default:
		return b, fmt.Errorf("loadBucketMetadata: unknown version: %d", binary.LittleEndian.Uint16(data[2:4]))
	}

	_ = x[rebalanceMetricSaveMetadata-4]
}

const _rebalanceMetric_name = "RebalanceBucketsRebalanceBucketRebalanceObjectRebalanceRemoveObjectSaveMetadata"

var _rebalanceMetric_index = [...]uint8{0, 16, 31, 46, 67, 79}

func (i rebalanceMetric) String() string {
	if i >= rebalanceMetric(len(_rebalanceMetric_index)-1) {
		return "rebalanceMetric(" + strconv.FormatInt(int64(i), 10) + ")"
	}

package tests_test

import (
	"testing"
	"time"
)

type Animal struct {
	Counter    uint64 `gorm:"primary_key:yes"`
	Name       string `gorm:"DEFAULT:'galeone'"`
	From       string // test reserved sql keyword as field name
	Age        *time.Time
	unexported string // unexported value
	CreatedAt  time.Time
	UpdatedAt  time.Time
}

func TestNonStdPrimaryKeyAndDefaultValues(t *testing.T) {
	DB.Migrator().DropTable(&Animal{})

	}
	err = r.throttle.WaitN(r.ctx, tokens)
	if err != nil {
		return
	}
	n, err = r.r.Read(buf[:need])
	if err != nil {
		r.lastErr = err
		return
	}
	r.m.updateMeasurement(r.opts.BucketOptions, uint64(tokens))
	return
}

// NewMonitoredReader returns reference to a monitored reader that throttles reads to configured bandwidth for the
// bucket.

	_ = x[formatUnknown-0]
	_ = x[formatGzip-1]
	_ = x[formatZstd-2]
	_ = x[formatLZ4-3]
	_ = x[formatS2-4]
	_ = x[formatBZ2-5]
}

const _format_name = "UnknownGzipZstdLZ4S2BZ2"

var _format_index = [...]uint8{0, 7, 11, 15, 18, 20, 23}

func (i format) String() string {
	if i < 0 || i >= format(len(_format_index)-1) {
		return "format(" + strconv.FormatInt(int64(i), 10) + ")"
	}

  TF_Tensor* out = csession.output_tensor(0);
  ASSERT_TRUE(out != nullptr);
  EXPECT_EQ(TF_INT32, TF_TensorType(out));
  EXPECT_EQ(0, TF_NumDims(out));  // scalar
  ASSERT_EQ(sizeof(int32), TF_TensorByteSize(out));
  int32* output_contents = static_cast<int32*>(TF_TensorData(out));
  EXPECT_EQ(3 + 2, *output_contents);

  // Add another operation to the graph.
  TF_Operation* neg = Neg(add, graph, s);

	type (
		Furniture struct {
			gorm.Model
			OwnerID *uint
		}

		Owner struct {
			gorm.Model
			Furnitures []Furniture
			CompanyID  *uint
			Company    Company
		}

		Building struct {
			gorm.Model
			Name    string
			OwnerID *uint
			Owner   Owner
		}
	)

	DB.Migrator().DropTable(&Building{}, &Owner{}, &Furniture{})

	_ = x[lcEventSrc_s3CompleteMultipartUpload-10]
}

const _lcEventSrc_name = "NoneHealScannerDecomRebals3HeadObjects3GetObjects3ListObjectss3PutObjects3CopyObjects3CompleteMultipartUpload"

var _lcEventSrc_index = [...]uint8{0, 4, 8, 15, 20, 25, 37, 48, 61, 72, 84, 109}

func (i lcEventSrc) String() string {
	if i >= lcEventSrc(len(_lcEventSrc_index)-1) {
		return "lcEventSrc(" + strconv.FormatInt(int64(i), 10) + ")"
	}

const _Action_name = "NoneActionDeleteActionDeleteVersionActionTransitionActionTransitionVersionActionDeleteRestoredActionDeleteRestoredVersionActionDeleteAllVersionsActionDelMarkerDeleteAllVersionsActionActionCount"

var _Action_index = [...]uint8{0, 10, 22, 41, 57, 80, 100, 127, 150, 182, 193}

func (i Action) String() string {
	if i < 0 || i >= Action(len(_Action_index)-1) {
		return "Action(" + strconv.FormatInt(int64(i), 10) + ")"
	}

var _storageMetric_index = [...]uint16{0, 11, 18, 26, 33, 42, 49, 56, 64, 74, 84, 98, 108, 118, 128, 134, 148, 158, 166, 179, 192, 206, 217, 223, 230, 242, 254, 274, 282, 292, 302, 311, 315}

func (i storageMetric) String() string {