if (topMetaIterator == null) {
          return false;
        }

        iterator = topMetaIterator.next();

        if (iterator instanceof ConcatenatedIterator) {
          // Instead of taking linear time in the number of nested concatenations, unpack
          // them into the queue
          @SuppressWarnings("unchecked")
          ConcatenatedIterator<T> topConcat = (ConcatenatedIterator<T>) iterator;

	}
}

// patIndex returns the index of name in the list of named wildcards of the
// request's pattern, or -1 if there is no such name.
func (r *Request) patIndex(name string) int {
	// The linear search seems expensive compared to a map, but just creating the map
	// takes a lot of time, and most patterns will just have a couple of wildcards.
	if r.pat == nil {
		return -1
	}
	i := 0

	chunks     []atomicScavChunkData
	min, max   atomic.Uintptr
	minHeapIdx atomic.Uintptr

	// searchAddr* is the maximum address (in the offset address space, so we have a linear
	// view of the address space; see mranges.go:offAddr) containing memory available to
	// scavenge. It is a hint to the find operation to avoid O(n^2) behavior in repeated lookups.
	//

	}

	// Add space at the end.
	// Will have -1 modtime, so it will be inserted there.
	x.versions = append(x.versions, xlMetaV2ShallowVersion{header: xlMetaV2VersionHeader{ModTime: -1}})

	// Linear search, we likely have to insert at front.
	for i, existing := range x.versions {
		if existing.header.ModTime <= modTime {
			// Insert at current idx. First move current back.
			copy(x.versions[i+1:], x.versions[i:])

}

def TFL_EluOp: TFL_Op<"elu", [
    Pure,
    SameOperandsAndResultShape,
    TFL_SameFirstOperandAndFirstResultElementType]> {
  let summary = "Exponential Linear Unit operator";
  let description = [{
    Computes the exponential linear
      f(x) -> exp(x) - 1 for x < 0, x for x >= 0.
    element-wise.
  }];

  let arguments = (ins TFL_TensorOf<[F32, I8]>:$x);

	// the CPU time the process measures with its own profiler should match the
	// total CPU usage that the OS reports.
	//
	// We could also check that increases in parallelism (GOMAXPROCS) lead to a
	// linear increase in the CPU usage reported by both the OS and the
	// profiler, but without a guarantee of exclusive access to CPU resources
	// that is likely to be a flaky test.

	// must ensure that allocation cannot happen around the
	// access (since that may free the backing store).
	allspans []*mspan // all spans out there

	// Proportional sweep
	//
	// These parameters represent a linear function from gcController.heapLive
	// to page sweep count. The proportional sweep system works to
	// stay in the black by keeping the current page sweep count
	// above this line at the current gcController.heapLive.
	//

	}

	// Common case: only one kid or all kids have the same weight.
	// Some clients don't use weights; other clients (like web browsers)
	// use mostly-linear priority trees.
	w := n.kids.weight
	needSort := false
	for k := n.kids.next; k != nil; k = k.next {
		if k.weight != w {
			needSort = true
			break
		}
	}
	if !needSort {