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https://github.com/intel/intel-device-plugins-for-kubernetes.git
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labeler: fix codeql issues
Signed-off-by: Tuomas Katila <tuomas.katila@intel.com>
This commit is contained in:
parent
08b76b12cc
commit
a0bc682b9b
@ -16,6 +16,7 @@ package labeler
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import (
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"fmt"
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"math"
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"os"
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"os/signal"
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"path"
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@ -205,12 +206,18 @@ func (l *labeler) getNumaNode(gpuName string) int {
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return -1
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}
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numa, err := strconv.ParseInt(strings.TrimSpace(string(data)), 10, 64)
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numa, err := strconv.ParseInt(strings.TrimSpace(string(data)), 10, 32)
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if err != nil {
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klog.Warning("Can't convert numa_node: ", err)
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return -1
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}
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if numa > math.MaxInt16 {
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klog.Warning("Too large numa: ", numa)
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return -1
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}
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return int(numa)
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}
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@ -305,7 +312,9 @@ func (l *labeler) createLabels() error {
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numaMapping[numaNode] = numaList
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}
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l.labels.addNumericLabel(labelNamespace+"memory.max", int64(memoryAmount))
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if memoryAmount < math.MaxInt64 {
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l.labels.addNumericLabel(labelNamespace+"memory.max", int64(memoryAmount))
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}
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}
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gpuCount := len(gpuNumList)
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@ -520,6 +520,48 @@ func getTestCases() []testcase {
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"gpu.intel.com/tiles": "27",
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},
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},
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{
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sysfsdirs: []string{
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"card1/device/drm/card1",
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"card1/gt/gt0",
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},
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sysfsfiles: map[string][]byte{
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"card1/device/vendor": []byte("0x8086"),
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"card1/lmem_total_bytes": []byte("8000"),
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"card1/device/numa_node": []byte("2147483648"), // max int32 + 1
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},
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name: "too large numa node",
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memoryOverride: 16000000000,
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expectedRetval: nil,
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expectedLabels: labelMap{
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"gpu.intel.com/millicores": "1000",
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"gpu.intel.com/memory.max": "8000",
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"gpu.intel.com/gpu-numbers": "1",
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"gpu.intel.com/cards": "card1",
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"gpu.intel.com/tiles": "1",
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},
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},
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{
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sysfsdirs: []string{
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"card1/device/drm/card1",
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"card1/gt/gt0",
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},
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sysfsfiles: map[string][]byte{
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"card1/device/vendor": []byte("0x8086"),
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"card1/lmem_total_bytes": []byte("8000"),
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"card1/device/numa_node": []byte("32768"), // max int16 + 1
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},
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name: "too large numa node",
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memoryOverride: 16000000000,
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expectedRetval: nil,
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expectedLabels: labelMap{
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"gpu.intel.com/millicores": "1000",
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"gpu.intel.com/memory.max": "8000",
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"gpu.intel.com/gpu-numbers": "1",
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"gpu.intel.com/cards": "card1",
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"gpu.intel.com/tiles": "1",
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},
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},
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}
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}
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