type UserMigrateColumn struct {
		ID       uint
		Name     string
		Salary   float64
		Birthday time.Time `gorm:"precision:4"`
	}

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

	DB.AutoMigrate(&UserMigrateColumn{})

	type UserMigrateColumn2 struct {
		ID                  uint
		Name                string    `gorm:"size:128"`
		Salary              float64   `gorm:"precision:2"`

// row. They have an output for each input row.
//
// Some types of a queries are not valid. For example, an aggregation
// function combined with a row function is meaningless ("AVG(s.Age) +
// s.Salary"). Analysis determines if such a scenario exists so an
// error can be returned.

var (
	// Fatal error for query processing.
	errNestedAggregation      = errors.New("Cannot nest aggregations")

func (s *Scalar) Add(x, y *Scalar) *Scalar {
	// s = 1 * x + y mod l
	fiatScalarAdd(&s.s, &x.s, &y.s)
	return s
}

// Subtract sets s = x - y mod l, and returns s.
func (s *Scalar) Subtract(x, y *Scalar) *Scalar {
	// s = -1 * y + x mod l
	fiatScalarSub(&s.s, &x.s, &y.s)
	return s
}

// Negate sets s = -x mod l, and returns s.
func (s *Scalar) Negate(x *Scalar) *Scalar {
	// s = -1 * x + 0 mod l

namespace tf {
namespace libtf {
namespace impl {

/** A thin wrapper around a C++ scalar value.
 * This wrapper makes the scalar immutable.
 */
template <typename T>
class Scalar final {
 public:
  explicit Scalar(T x) : value_(x) {}
  Scalar(const Scalar<T>& o) : value_(o.value_) {}

  bool operator==(const Scalar<T>& o) const { return o.value_ == value_; }

  T get() const { return value_; }

scalar.svg...

scalar-banner.svg...

					{Name: string(v1.ResourceCPU)},
					{Name: "scalar.io/scalar0"},
					{Name: "scalar.io/scalar1", Weight: 1},
				},
			},
			want: &configv1.NodeResourcesBalancedAllocationArgs{
				Resources: []configv1.ResourceSpec{
					{Name: string(v1.ResourceCPU), Weight: 1},
					{Name: "scalar.io/scalar0", Weight: 1},
					{Name: "scalar.io/scalar1", Weight: 1},
				},
			},
		},
		{

# Verify that we match correctly the input / output when they are scalar.

# CHECK-LABEL: func @main
# CHECK-SAME:  (%{{[a-z0-9]+}}: tensor<f32> {tf.device = "/device:CPU:0"})
# CHECK-SAME:  control_outputs = ""
# CHECK-SAME:  inputs = "input"
# CHECK-SAME:  outputs = "out:1,out"

	p256 := P256()
	p256Generic := genericParamsForCurve(p256)

	scalars := make([]*big.Int, 0, len(p224BaseMultTests)+1)
	for _, e := range p224BaseMultTests {
		k, _ := new(big.Int).SetString(e.k, 10)
		scalars = append(scalars, k)
	}
	k := new(big.Int).SetInt64(1)
	k.Lsh(k, 500)
	scalars = append(scalars, k)

	for i, k := range scalars {
		x, y := p256.ScalarBaseMult(k.Bytes())

				AllowedPodNumber: 80,
				ScalarResources:  map[v1.ResourceName]int64{"scalar.test/scalar1": 1, "hugepages-test": 2},
			},
			expected: &Resource{
				MilliCPU:         4,
				Memory:           2000,
				EphemeralStorage: 5000,
				AllowedPodNumber: 80,
				ScalarResources:  map[v1.ResourceName]int64{"scalar.test/scalar1": 1, "hugepages-test": 2},
			},
		},
	}

	for i, test := range tests {