*   <li>Each other step is derived from one or more input steps. At each step, zero or more objects
 *       can be captured for later closing.
 *   <li>There is one last step (the root of the tree), from which you can extract the final result
 *       of the computation. After that result is available (or the computation fails), all objects
 *       captured by any of the steps in the pipeline are closed.
 * </ol>
 *
 * <h3>Starting a pipeline</h3>
 *

 *   <li>Each other step is derived from one or more input steps. At each step, zero or more objects
 *       can be captured for later closing.
 *   <li>There is one last step (the root of the tree), from which you can extract the final result
 *       of the computation. After that result is available (or the computation fails), all objects
 *       captured by any of the steps in the pipeline are closed.
 * </ol>
 *
 * <h3>Starting a pipeline</h3>
 *

}

def ClusterConstantSinkingPass : Pass<"tf-device-constant-sinking", "mlir::func::FuncOp"> {
  let summary = "Sinks constants implicitly captured in a tf_device.cluster region.";

  let description = [{
    This pass sinks implicitly captured constants (`tf.Const` ops) used by and into
    a `tf_device.cluster` region. Performing this prior to outlining will reduce the
    number of arguments of the outlined function.

		}

		metrics = make([]MetricV2, 0, 50)
		dataUsageInfo, err := loadDataUsageFromBackend(ctx, objLayer)
		if err != nil {
			metricsLogIf(ctx, err)
			return
		}

		// data usage has not captured any data yet.
		if dataUsageInfo.LastUpdate.IsZero() {
			return
		}

		metrics = append(metrics, MetricV2{
			Description: getUsageLastScanActivityMD(),

    // For this test case the first 12 inputs to the function f below will be
    // from ParallelMapDataset, while the remaining one is a captured input.
    %75 = "tf.MapDataset"(%74, %arg3) {
      device = "/job:localhost/replica:0/task:0/device:CPU:0",
      f = @__inference_Dataset_map_lambda_96150,
      f._tf_data_function = true,

  // state, Y is the number of tensor components that represent the input
  // elements, and Z is the number of tensor components that represent any
  // captured arguments. Y is determined by the output_shapes of an op that
  // defines the first operand of `op`.

  // TODO(jpienaar): Avoid this lookup.
  auto module = op->getParentOfType<ModuleOp>();

			expected: []string{ipv6},
			protocol: "udp",
		},
		{
			// We should only capture traffic to servers in /etc/resolv.conf nameservers
			// This checks we do not capture traffic to other servers.
			// This is important for cases like app -> istio dns server -> dnsmasq -> upstream
			// If we captured all DNS traffic, we would loop dnsmasq traffic back to our server.
			name:     "tcp localhost server",

sidecars will have core dumps enabled. enableCoreDump: false # istio ingress capture allowlist # examples: # Redirect only selected ports: --includeInboundPorts="80,8080" excludeInboundPorts: "" includeInboundPorts: "*" # istio egress capture allowlist # https://istio.io/docs/tasks/traffic-management/egress.html#calling-external-services-directly # example: includeIPRanges: "172.30.0.0/16,172.20.0.0/16" # would only capture egress traffic on those two IP Ranges, all other outbound traffic would # be...

}

func (sp *SizeofPack) goString(indent int, field string) string {
	return fmt.Sprintf("%*s%sSizeofPack: Pack: %p", indent, "", field, sp.Pack)
}

// SizeofArgs is the size of a captured template parameter pack from
// an alias template.
type SizeofArgs struct {
	Args []AST
}

func (sa *SizeofArgs) print(ps *printState) {
	c := 0
	for _, a := range sa.Args {

  LogicalResult matchAndRewrite(WhileRegionOp while_op,
                                PatternRewriter &rewriter) const override {
    // Remove any extern values that are explicitly captured and returned. Also
    // replace values that simply passthrough the body with extern values. The
    // block arguments of body and while match and so the corresponding cond
    // argument can be easily found.