name: ztunnel-stats
          protocol: TCP
        readinessProbe:
          httpGet:
            path: /healthz/ready
            port: 15021
        resources:
          limits:
            cpu: 200m
            memory: 200Mi
          requests:
            cpu: 100m
            memory: 100Mi
        securityContext:
          allowPrivilegeEscalation: false
          capabilities:
            add:

        when:
        setupTenuredHeapLeak(leakRate)
        then:
        daemonIsExpiredEagerly(maxBuilds, heapSize)

        where:
        maxBuilds | heapSize | leakRate
        45        | "200m"   | 600
        40        | "1024m"  | 4000
    }

    private boolean daemonIsExpiredEagerly(int maxBuilds, String heapSize) {
        def dataFile = file("stats")
        int newDaemons = 0
        try {

	// pod with all resources enumerated should not merge anything
	input = getResourceRequirements(getComputeResourceList("100m", "512Mi"), getComputeResourceList("200m", "1G"))
	initInputs := []api.ResourceRequirements{getResourceRequirements(getComputeResourceList("200m", "1G"), getComputeResourceList("400m", "2G"))}
	pod = validPodInit(validPod("limit-memory", 1, input), initInputs...)
	expected = input

        securityContext:
          privileged: true
        resources:
          limits:
            cpu: "200m"
            memory: "100Mi"
          requests:
            cpu: "20m"
            memory: "20Mi"
        env:
        - name: NODE_NAME
          valueFrom:
            fieldRef:

								Limits:   api.ResourceList{api.ResourceCPU: resource.MustParse("200m")},
							},
						},
						{
							Name:  "c2",
							Image: "image",
							Resources: api.ResourceRequirements{
								Requests: api.ResourceList{api.ResourceCPU: resource.MustParse("200m")},
								Limits:   api.ResourceList{api.ResourceCPU: resource.MustParse("300m")},
							},
						},

			true,
			v1.ResourceList{v1.ResourceCPU: resource.MustParse("200m"), v1.ResourceMemory: resource.MustParse("500Mi")},
			v1.ResourceList{v1.ResourceCPU: resource.MustParse("200m"), v1.ResourceMemory: resource.MustParse("500Mi")},
			[]v1.ContainerStatus{
				{
					Name:               "c1",
					AllocatedResources: v1.ResourceList{v1.ResourceCPU: resource.MustParse("200m"), v1.ResourceMemory: resource.MustParse("500Mi")},
				},
			},

						},
					},
				},
			},
			expected: nil,
		},
		{
			name: "200m warning",
			template: &core.PersistentVolumeClaim{
				Spec: core.PersistentVolumeClaimSpec{
					Resources: core.VolumeResourceRequirements{
						Requests: core.ResourceList{
							core.ResourceStorage: resource.MustParse("200m"),
						},
						Limits: core.ResourceList{
							core.ResourceStorage: resource.MustParse("100m"),

			name:                "equality_reflexivity",
			expr:                `quantity("200M") == quantity("200M")`,
			expectEstimatedCost: checker.CostEstimate{Min: 3, Max: 1844674407370955266},
			expectRuntimeCost:   3,
		},
		{
			name:                "equality_symmetry",
			expr:                `quantity("200M") == quantity("0.2G") && quantity("0.2G") == quantity("200M")`,
			expectEstimatedCost: checker.CostEstimate{Min: 3, Max: 3689348814741910532},

  # Additional labels to apply on the pod level
  podLabels: {}

  # Pod resource configuration
  resources:
    requests:
      cpu: 200m
      # Ztunnel memory scales with the size of the cluster and traffic load
      # While there are many factors, this is enough for ~200k pod cluster or 100k concurrently open connections.
      memory: 512Mi

  # List of secret names to add to the service account as image pull secrets

			newNode: func() *v1.Node {
				node := newNode("node1", nil)
				node.Status.Allocatable = allocatableResources("200M", "200m")
				return node
			}(),
			ds: func() *apps.DaemonSet {
				ds := newDaemonSet("ds")
				ds.Spec.Template.Spec = resourcePodSpecWithoutNodeName("200M", "200m")
				return ds
			}(),
			expectedEventsFunc: func(strategyType apps.DaemonSetUpdateStrategyType) int {