- name: memory    # weight 0 will be replaced by 1.
          weight: 0
        - name: scalar0
          weight: 1
        - name: scalar1   # default weight(1) will be set for scalar1
        - name: scalar2   # weight 0 will be replaced by 1.
          weight: 0
        - name: scalar3
          weight: 2
`),
			wantProfiles: []config.KubeSchedulerProfile{
				{

				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 {

  TF_Operation* scalar3 = TF_GraphOperationByName(graph, "imported3/scalar");
  TF_Operation* feed3 = TF_GraphOperationByName(graph, "imported3/feed");
  TF_Operation* neg3 = TF_GraphOperationByName(graph, "imported3/neg");
  ASSERT_TRUE(scalar3 != nullptr);
  ASSERT_TRUE(feed3 != nullptr);
  ASSERT_TRUE(neg3 != nullptr);

  // Check that newly-imported scalar and feed have control deps (neg3 will

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_; }

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

					{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},
				},
			},
		},
		{

scalar.svg...

	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())

scalar-banner.svg...

            return VersionCoverage.versionsAtLeast(SCALA_3, "3.2.2")
        }
        if (javaVersion.isCompatibleWith(JavaVersion.VERSION_18)) {
            return VersionCoverage.versionsAtLeast(SCALA_3, "3.1.3")
        }
        if (javaVersion.isCompatibleWith(JavaVersion.VERSION_1_8)) {
            return SCALA_3
        }
        throw new IllegalArgumentException("Unsupported Java version for Scala 3: " + javaVersion)
    }