},
			},
		},
		{
			name: "LeastAllocated with defaultResources",
			nodeResourcesFitArgs: config.NodeResourcesFitArgs{
				ScoringStrategy: &config.ScoringStrategy{
					Type:      config.LeastAllocated,
					Resources: defaultResources,
				},
			},
		},
		{
			name: "LeastAllocated with 10 resources",
			nodeResourcesFitArgs: config.NodeResourcesFitArgs{

			TypeMeta: metav1.TypeMeta{
				Kind:       "NodeResourcesFitArgs",
				APIVersion: "kubescheduler.config.k8s.io/v1",
			},
			ScoringStrategy: &configv1.ScoringStrategy{
				Type:      configv1.LeastAllocated,
				Resources: []configv1.ResourceSpec{{Name: "cpu", Weight: 1}, {Name: "memory", Weight: 1}},
			},
		}},
	},
	{
		Name: "PodTopologySpread",
		Args: runtime.RawExtension{Object: &configv1.PodTopologySpreadArgs{

		},
	},
	{
		Name: "NodeResourcesFit",
		Args: &config.NodeResourcesFitArgs{
			ScoringStrategy: &config.ScoringStrategy{
				Type:      config.LeastAllocated,
				Resources: []config.ResourceSpec{{Name: "cpu", Weight: 1}, {Name: "memory", Weight: 1}},
			},
		},
	},
	{
		Name: "PodTopologySpread",
		Args: &config.PodTopologySpreadArgs{

var nodeResourceStrategyTypeMap = map[config.ScoringStrategyType]scorer{
	config.LeastAllocated: func(args *config.NodeResourcesFitArgs) *resourceAllocationScorer {
		resources := args.ScoringStrategy.Resources
		return &resourceAllocationScorer{
			Name:      string(config.LeastAllocated),
			scorer:    leastResourceScorer(resources),
			resources: resources,
		}
	},

				t.Errorf("ValidateVolumeBindingArgs returned err (-want,+got):\n%s", diff)
			}
		})
	}
}

func TestValidateFitArgs(t *testing.T) {
	defaultScoringStrategy := &config.ScoringStrategy{
		Type: config.LeastAllocated,
		Resources: []config.ResourceSpec{
			{Name: "cpu", Weight: 1},
			{Name: "memory", Weight: 1},
		},
	}
	argsTest := []struct {
		name   string
		args   config.NodeResourcesFitArgs

							},
						},
					},
					"scoringStrategy": {
						SchemaProps: spec.SchemaProps{
							Description: "ScoringStrategy selects the node resource scoring strategy. The default strategy is LeastAllocated with an equal \"cpu\" and \"memory\" weight.",
							Ref:         ref("k8s.io/kube-scheduler/config/v1.ScoringStrategy"),
						},
					},
				},
			},
		},
		Dependencies: []string{