"pointradius": 2,
      "points": false,
      "renderer": "flot",
      "seriesOverrides": [],
      "spaceLength": 10,
      "stack": false,
      "steppedLine": false,
      "targets": [
        {
          "datasource": {
            "type": "prometheus",
            "uid": "${DS_PROMETHEUS}"
          },
          "exemplar": true,

				return
			}
		case "Targets":
			var zb0002 uint32
			zb0002, err = dc.ReadMapHeader()
			if err != nil {
				err = msgp.WrapError(err, "Targets")
				return
			}
			if z.Targets == nil {
				z.Targets = make(map[string]replication.StatusType, zb0002)
			} else if len(z.Targets) > 0 {
				for key := range z.Targets {
					delete(z.Targets, key)
				}
			}
			for zb0002 > 0 {

          "showLegend": true
        },
        "tooltip": {
          "mode": "multi",
          "sort": "none"
        }
      },
      "pluginVersion": "10.4.0",
      "targets": [
        {
          "datasource": {
            "type": "prometheus",
            "uid": "${DS_PROMETHEUS}"
          },
          "exemplar": true,

          "values": false
        },
        "showPercentChange": false,
        "text": {},
        "textMode": "auto",
        "wideLayout": true
      },
      "pluginVersion": "10.4.0",
      "targets": [
        {
          "datasource": {
            "type": "prometheus",
            "uid": "${DS_PROMETHEUS}"
          },
          "exemplar": true,

          "showLegend": true
        },
        "tooltip": {
          "mode": "multi",
          "sort": "none"
        }
      },
      "pluginVersion": "10.4.0",
      "targets": [
        {
          "datasource": {
            "type": "prometheus",
            "uid": "${DS_PROMETHEUS}"
          },
          "exemplar": true,

        "uid": "${datasource}"
      },
      "gridPos": {
        "h": 1,
        "w": 24,
        "x": 0,
        "y": 0
      },
      "id": 60,
      "panels": [],
      "targets": [
        {
          "datasource": {
            "type": "prometheus",
            "uid": "${datasource}"
          },
          "refId": "A"
        }
      ],
      "title": "Deployed Versions",

)

# To avoid duplication, check that the C++ or python library does not depend on
# the stream executor cuda plugins. Targets that want to use cuda APIs should
# instead depend on the dummy plugins in @local_tsl//tsl/platform/default/build_config
# and use header only targets.
# TODO(ddunleavy): This seems completely broken. :tensorflow_cc depends on
# cuda_platform from tf_additional_binary_deps and this doesn't break.

# START MACOS CROSS-COMPILE CONFIGS
build:cross_compile_macos_x86 --config=cross_compile_base
build:cross_compile_macos_x86 --config=nonccl
# Target Catalina (10.15) as the minimum supported OS
build:cross_compile_macos_x86 --action_env  MACOSX_DEPLOYMENT_TARGET=10.15

# Set the target CPU to Darwin x86
build:cross_compile_macos_x86 --platforms=//tensorflow/tools/toolchains/cross_compile/config:darwin_x86_64

    default boolean isSchedulerTarget(final String target) {
        if (StringUtil.isBlank(target)) {
            return true;
        }

        final String myName = getSchedulerTargetName();

        final String[] targets = target.split(",");
        for (String name : targets) {
            name = name.trim();

			continue
		}
		// Get port number
		nport, err := pilotcontroller.FindPort(pod, &port)
		if err == nil {
			protocol := findProtocolForPort(&port)
			fmt.Fprintf(writer, "   Port: %s %d/%s targets pod port %d\n", port.Name, port.Port, protocol, nport)
		} else {
			fmt.Fprintf(writer, "   %s\n", err.Error())
		}
	}
}

func findProtocolForPort(port *corev1.ServicePort) string {
	var protocol string