return http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
		cxml := crossDomainXML
		if globalServerCtxt.CrossDomainXML != "" {
			cxml = globalServerCtxt.CrossDomainXML
		}
		// Look for 'crossdomain.xml' in the incoming request.
		if r.URL.Path == crossDomainXMLEntity {
			// Write the standard cross domain policy xml.
			w.Write([]byte(cxml))
			// Request completed, no need to serve to other handlers.
			return
		}

	ctxt.ConsoleAddr = ctx.GlobalString("console-address")
	if ctxt.ConsoleAddr == "" {
		ctxt.ConsoleAddr = ctx.String("console-address")
	}

	if cxml := ctx.String("crossdomain-xml"); cxml != "" {
		buf, err := os.ReadFile(cxml)
		if err != nil {
			return err
		}
		ctxt.CrossDomainXML = string(buf)
	}

	// Check "no-compat" flag from command line argument.

// according to this technique.
//
// Fair queuing for server requests is inspired by the fair queuing
// technique from the world of networking.  You can find a good paper
// on that at https://dl.acm.org/citation.cfm?doid=75247.75248 or
// http://people.csail.mit.edu/imcgraw/links/research/pubs/networks/WFQ.pdf
// and there is an implementation outline in the Wikipedia article at
// https://en.wikipedia.org/wiki/Fair_queuing .
//

 * conventional bounded queues, which either block or reject new elements when full.
 *
 * <p>This implementation is based on the <a
 * href="http://portal.acm.org/citation.cfm?id=6621">min-max heap</a> developed by Atkinson, et al.
 * Unlike many other double-ended priority queues, it stores elements in a single array, as compact
 * as the traditional heap data structure used in {@link PriorityQueue}.
 *

 * conventional bounded queues, which either block or reject new elements when full.
 *
 * <p>This implementation is based on the <a
 * href="http://portal.acm.org/citation.cfm?id=6621">min-max heap</a> developed by Atkinson, et al.
 * Unlike many other double-ended priority queues, it stores elements in a single array, as compact
 * as the traditional heap data structure used in {@link PriorityQueue}.
 *

		// Print outgoing edges.
		for _, out := range n.Out.Sort() {
			c, _ := measurement.Scale(out.Weight, o.SampleUnit, o.OutputUnit)
			callee := out.Dest
			fmt.Fprintln(w, "cfl="+callgrindName(files, callee.Info.File))
			fmt.Fprintln(w, "cfn="+callgrindName(names, nodeNames[callee]))
			// pprof doesn't have a flat weight for a call, leave as 0.

	utf8KeyBytes, _ := base...

  }];

  let description = [{
This op uses the algorithm by Marsaglia et al. to acquire samples via
transformation-rejection from pairs of uniform and normal random variables.
See http://dl.acm.org/citation.cfm?id=358414
  }];

  let arguments = (ins
    Arg<TF_I32OrI64Tensor, [{1-D integer tensor. Shape of independent samples to draw from each
distribution described by the shape parameters given in alpha.}]>:$shape,