resources:
        - name: cpu       # default weight(1) will be set.
        - 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{

					{
						Name:   "cpu",
						Weight: 1,
					},
					{
						Name:   "memory",
						Weight: 1,
					},
				},
			},
		},
		"invalid config": {
			args: &config.NodeResourcesBalancedAllocationArgs{
				Resources: []config.ResourceSpec{
					{
						Name:   "cpu",
						Weight: 2,
					},
					{
						Name:   "memory",
						Weight: 1,
					},
				},
			},

			w = t.FlatValue()
		}
		if w == 0 {
			continue
		}
		weight := b.config.FormatValue(w)
		nodelets += fmt.Sprintf(`N%d_%d [label = "%s" id="N%d_%d" fontsize=8 shape=box3d tooltip="%s"]`+"\n", nodeID, i, t.Name, nodeID, i, weight)
		nodelets += fmt.Sprintf(`N%d -> N%d_%d [label=" %s" weight=100 tooltip="%s" labeltooltip="%s"]`+"\n", nodeID, nodeID, i, weight, weight, weight)
		if nts := lnts[t.Name]; nts != nil {

    (SupportedAffineOpMatcher $conv_out, $input, $weight),
    (TF_ConstOp:$mul_rhs IsFloatElementsAttr:$mul_rhs_value)),
  (CloneOpWithReplacedOperands
        (GetDefiningOp $conv_out),
        $input,
        (MultiplyFakeQuantValue $weight,
          (MakeOneDimValueBroadcastable $mul_rhs, $weight))),
  [(HasOneUse $conv_out),
   (HasRankOf<1> $mul_rhs_value),
   (HasStaticShapeConstraint $weight),
   (CanBeSymmetricallyQuantized $weight),

        color: #ddd;
        background-color: #5a5a5a;
        font-weight: 300
    }
}

a {
    color: #e9ffaa;
    text-decoration: none;
    font-weight: 300
}

a:hover, a:focus {
    color: #de7d40;
    text-decoration: underline;
    font-weight: 300
}

a.disabled {
    color: #444;
    text-decoration: none;
    font-weight: 300
}

a.active {
    color: #de7d40;

  BroadcastBatchDimensionsForBatchMatMul(builder, loc, input, weight);

  // Both input and weight have the same rank after broadcasting.
  ShapedType weight_shape = mlir::cast<ShapedType>(weight.getType());
  int num_batch_dim = weight_shape.getRank() - 2;

  // Transpose and constant-fold the weight if needed.
  if (adj_y.getValue()) {
    SmallVector<int32_t> perm_values(num_batch_dim);
    absl::c_iota(perm_values, 0);

					found = true

					// Now compare the weight.
					if lbEp.GetLoadBalancingWeight().Value != wantLbEp.Weight {
						return fmt.Errorf("unexpected weight for endpoint %s: got %v, want %v",
							addr, lbEp.GetLoadBalancingWeight().Value, wantLbEp.Weight)
					}
					break
				}
			}
			if !found {
				return fmt.Errorf("unexpected address for endpoint %d: %v", i, addr)
			}
		}
	}
	return nil

	defaultResources     = []config.ResourceSpec{
		{Name: string(v1.ResourceCPU), Weight: 1},
		{Name: string(v1.ResourceMemory), Weight: 1},
	}
	extendedRes         = "abc.com/xyz"
	extendedResourceSet = []config.ResourceSpec{
		{Name: string(v1.ResourceCPU), Weight: 1},
		{Name: string(v1.ResourceMemory), Weight: 1},
		{Name: extendedRes, Weight: 1},
	}
)

	currentDeadline float64
}

// Add a new entry for load balance
func (e *EDF) Add(weight float64, value any) {
	e.currentIndex++
	heap.Push(e.pq, &Entry{
		value:    value,
		weight:   weight,
		deadline: e.currentDeadline + 1/weight,
		index:    e.currentIndex,
	})
}

// PickAndAdd picks an available entry and re-adds it with the given weight calculation

	if len(obj.Resources) == 0 {
		obj.Resources = defaultResourceSpec
		return
	}
	// If the weight is not set or it is explicitly set to 0, then apply the default weight(1) instead.
	for i := range obj.Resources {
		if obj.Resources[i].Weight == 0 {
			obj.Resources[i].Weight = 1
		}
	}
}

func SetDefaults_PodTopologySpreadArgs(obj *configv1.PodTopologySpreadArgs) {