"name": "foo",
          "key": "bar",
          "optional": true
        }
      }
    }
  ],
  "resources": {
    "limits": {
      "foo": "1G"
    },
    "requests": {
      "foo": "500M"
    }
  }
}
`

	sampleV131HashValue = uint64(0x8e45cbd0)
)

func TestConsistentHashContainer(t *testing.T) {
	container := &v1.Container{}

		{name: "burstable-below-requests", priority: defaultPriority, requests: newResourceList("100m", "100Mi", ""), limits: newResourceList("200m", "1Gi", ""), memoryWorkingSet: "50Mi"},
		{name: "burstable-above-requests", priority: defaultPriority, requests: newResourceList("100m", "100Mi", ""), limits: newResourceList("200m", "1Gi", ""), memoryWorkingSet: "400Mi"},

  deploymentHistory: 10

  # Operator resource defaults
  operator:
    monitoring:
      host: 127.0.0.1
      port: 15014
    resources:
      limits:
        cpu: 200m
        memory: 256Mi
      requests:
        cpu: 50m
        memory: 128Mi
    # Set to `type: RuntimeDefault` to use the default profile if available.
    seccompProfile: {}

  # Node labels for pod assignment

    codenarc 'org.codehaus.groovy:groovy-all:3.0.3'
    codenarc 'org.codenarc:CodeNarc:1.6.1'
}
// end::specify-groovy-version[]

// tag::customize-checkstyle-memory[]
tasks.withType(Checkstyle) {
    minHeapSize = "200m"
    maxHeapSize = "1g"
}
// end::customize-checkstyle-memory[]

// tag::enable-checkstyle-sarif-report[]
checkstyle {
    toolVersion = '10.3.3'
}
// end::enable-checkstyle-sarif-report[]

              containerPort: 55678
              protocol: TCP
          resources:
            limits:
              cpu: "2"
              memory: 4Gi
            requests:
              cpu: 200m
              memory: 400Mi
          terminationMessagePath: /dev/termination-log
          terminationMessagePolicy: File
          volumeMounts:
            - name: opentelemetry-collector-config-vol

							Windows: &runtimeapi.WindowsContainerResources{
								CpuMaximum:         2500,
								CpuCount:           1,
								MemoryLimitInBytes: 524288000,
							},
						}
					}
					return &runtimeapi.ContainerResources{
						Linux: &runtimeapi.LinuxContainerResources{
							CpuQuota:           25000,
							CpuPeriod:          100000,
							MemoryLimitInBytes: 524288000,

    "codenarc"("org.codenarc:CodeNarc:1.6.1")
}
// end::specify-groovy-version[]

// tag::customize-checkstyle-memory[]
tasks.withType<Checkstyle>().configureEach {
    minHeapSize = "200m"
    maxHeapSize = "1g"
}
// end::customize-checkstyle-memory[]

// tag::enable-checkstyle-sarif-report[]
checkstyle {
    toolVersion = "10.3.3"
}
// end::enable-checkstyle-sarif-report[]

              containerPort: 55678
              protocol: TCP
          resources:
            limits:
              cpu: "2"
              memory: 4Gi
            requests:
              cpu: 200m
              memory: 400Mi
          terminationMessagePath: /dev/termination-log
          terminationMessagePolicy: File
          volumeMounts:
            - name: opentelemetry-collector-config-vol

    {{containerSecurityContext}}
    "image": "{{pillar['kube_docker_registry']}}/kube-apiserver-amd64:{{pillar['kube-apiserver_docker_tag']}}",
    "resources": {
      "requests": {
        "cpu": "250m"
      }
    },
    "command": [
                 "/go-runner", "--log-file=/var/log/kube-apiserver.log", "--also-stdout=false", "--redirect-stderr=true",
                 "/usr/local/bin/kube-apiserver",

						v1.ResourceMemory: resource.MustParse("2000"),
					},
				},
			},
			{
				Resources: v1.ResourceRequirements{
					Requests: v1.ResourceList{
						v1.ResourceCPU:    resource.MustParse("2000m"),
						v1.ResourceMemory: resource.MustParse("3000"),
						"nvidia.com/gpu":  resource.MustParse("3"),
					},
				},
			},
		},
		NodeName: "node1",
	}
	labels1 := map[string]string{
		"foo": "bar",