t.Fatalf("expected to have at least one TableRow, but got: %d", len(rows))
			}

			func() {
				defer func() {
					if err := recover(); err != nil {
						// Same as stdlib http server code. Manually allocate stack
						// trace buffer size to prevent excessively large logs
						const size = 64 << 10
						buf := make([]byte, size)
						buf = buf[:runtime.Stack(buf, false)]

		}
		src = src[:i] + src[i+1:]
		want := colbase + uint(i)

		f, err := Parse(nil, strings.NewReader(src), nil, nil, 0)
		if err != nil {
			t.Errorf("%s: %v", src, err)
			continue
		}

		// locate KeyValueExpr
		Inspect(f, func(n Node) bool {
			_, ok := n.(*KeyValueExpr)
			if ok {
				if got := StartPos(n).Col(); got != want {
					t.Errorf("%s: got col = %d, want %d", src, got, want)
				}
			}

- During device plugin allocation, resources requested by the pod can only be allocated if the device plugin has registered itself to kubelet AND healthy devices are present on the node to be allocated. If these conditions are not sattsfied, the pod would fail with `UnexpectedAdmissionError` error. ([#117719](https://github.com/kubernetes/kubernetes/pull/117719), [@swatisehgal](https://g...

}

// VersionPurgeStatusKey denotes purge status in metadata
const (
	VersionPurgeStatusKey = ReservedMetadataPrefixLower + "purgestatus"
)

// newFileInfo - initializes new FileInfo, allocates a fresh erasure info.
func newFileInfo(object string, dataBlocks, parityBlocks int) (fi FileInfo) {
	fi.Erasure = ErasureInfo{
		Algorithm:    erasureAlgorithm,
		DataBlocks:   dataBlocks,
		ParityBlocks: parityBlocks,

          'Heap (In Use) ({{pod}})',
          |||
            sum by (pod) (
              go_memstats_heap_inuse_bytes{%(appLabels)s}
            )
          |||
        ),
        self.query(
          'Heap (Allocated) ({{pod}})',
          |||
            sum by (pod) (
              go_memstats_heap_alloc_bytes{%(appLabels)s}
            )
          |||
        ),
      ],

      goAllocations: [
        self.query(

On the next execution of Gradle, the launcher will use this file to locate a compatible JVM installation and start the daemon with it.

=== Daemon JVM discovery

To locate a compatible JVM installation, Gradle re-uses the mechanism provided by the <<toolchains.adoc#toolchains,Java Toolchains>> feature.

	IsPgoHot    bool

	// when register allocation is done, maps value ids to locations
	RegAlloc []Location

	// temporary registers allocated to rare instructions
	tempRegs map[ID]*Register

	// map from LocalSlot to set of Values that we want to store in that slot.
	NamedValues map[LocalSlot][]*Value

        "podIP": {
          "description": "podIP address allocated to the pod. Routable at least within the cluster. Empty if not yet allocated.",
          "type": "string"
        },
        "podIPs": {

	}
	if _, ok := metadata[MetaContext]; ok {
		return nil, true
	}
	return nil, false
}

// CreateMultipartMetadata adds the multipart flag entry to metadata
// and returns modified metadata. It allocates a new metadata map if
// metadata is nil.
func CreateMultipartMetadata(metadata map[string]string) map[string]string {
	if metadata == nil {
		return map[string]string{MetaMultipart: ""}
	}

                throw IllegalArgumentException("Could not locate the generated diagram in $markdownFile")
            }
            val endPos = content.subList(markerPos, content.size).indexOfFirst { it.contains(endDiagram) && !it.contains(startDiagram) }
            if (endPos < 0) {
                throw IllegalArgumentException("Could not locate the end of the generated diagram in $markdownFile")
            }