return nil
	}
	return setPathContext(nc.Parent, nc.Parent.Node, false) // note: tail recursive
}

// setValueContext writes the given value to the Node in the given PathContext.
// If setting the value requires growing the final slice, grows it.
func setValueContext(nc *PathContext, value any, merge bool) (bool, error) {
	if nc.Parent == nil {
		return false, nil
	}

	vv, mapFromString := tryToUnmarshalStringToYAML(value)

	if (err == nil && pSrc == len(s)) ||
		(err != nil && err != ErrShortDst && err != ErrShortSrc) {
		return string(dst[:pDst]), pSrc, err
	}

	// Transform the remaining input, growing dst and src buffers as necessary.
	for {
		n := copy(src, s[pSrc:])
		atEOF := pSrc+n == len(s)
		nDst, nSrc, err := t.Transform(dst[pDst:], src[:n], atEOF)
		pDst += nDst
		pSrc += nSrc

// RSS. As a result, we need to take into account for fragmentation internal to
// spans. heapGoal / lastHeapGoal defines the ratio between the current heap goal
// and the last heap goal, which tells us by how much the heap is growing and
// shrinking. We estimate what the heap will grow to in terms of pages by taking
// this ratio and multiplying it by heapInUse at the end of the last GC, which

	if work > scanWorkExpected {
		// We've already done more scan work than expected. Because our expectation
		// is based on a steady-state scannable heap size, we assume this means our
		// heap is growing. Compute a new heap goal that takes our existing runway
		// computed for scanWorkExpected and extrapolates it to maxScanWork, the worst-case
		// scan work. This keeps our assist ratio stable if the heap continues to grow.
		//

	// larger chunks as the source of the write, as when the source
	// is too large we are basically just thrashing the CPU D-cache.
	// So if the result length is larger than an empirically-found
	// limit (8KB), we stop growing the source string once the limit
	// is reached and keep reusing the same source string - that
	// should therefore be always resident in the L1 cache - until we
	// have completed the construction of the result.

		break
	}

	i := 0
	for {
		// Look ahead for ] - can only happen on first iteration.
		d.scanWhile(scanSkipSpace)
		if d.opcode == scanEndArray {
			break
		}

		// Expand slice length, growing the slice if necessary.
		if v.Kind() == reflect.Slice {
			if i >= v.Cap() {
				v.Grow(1)
			}
			if i >= v.Len() {
				v.SetLen(i + 1)
			}
		}

		if i < v.Len() {

	if !sched.hasExtenderFilters() && !sched.hasScoring(fwk) {
		numNodesToFind = 1
	}

	// Create feasible list with enough space to avoid growing it
	// and allow assigning.
	feasibleNodes := make([]*framework.NodeInfo, numNodesToFind)

	if !fwk.HasFilterPlugins() {
		for i := range feasibleNodes {

		// remains true, since otherwise the second readMetricsLocked below could
		// allocate before it returns.
		readMetricsLocked(samplesp, len, cap)

		// Read memstats first. It's going to flush
		// the mcaches which readMetrics does not do, so
		// going the other way around may result in
		// inconsistent statistics.
		readmemstats_m(memStats)

		// Read metrics again. We need to be sure we're on the

			// mark the object.
			//
			// Note that it's possible for findObject to
			// fail if obj points to a just-allocated heap
			// object because of a race with growing the
			// heap. In this case, we know the object was
			// just allocated and hence will be marked by
			// allocation itself.
			if obj, span, objIndex := findObject(obj, b, addr-b); obj != 0 {

	// 1.  Grow. This triggers two reallocations in Map.
	maxRune := func(rune) rune { return unicode.MaxRune }
	m := Map(maxRune, a)
	expect := tenRunes(unicode.MaxRune)
	if m != expect {
		t.Errorf("growing: expected %q got %q", expect, m)
	}

	// 2. Shrink
	minRune := func(rune) rune { return 'a' }
	m = Map(minRune, tenRunes(unicode.MaxRune))
	expect = a
	if m != expect {