}
	inTreeInlineVolPod := &v1.Pod{
		Spec: v1.PodSpec{
			Volumes: []v1.Volume{
				{
					VolumeSource: v1.VolumeSource{
						AWSElasticBlockStore: &v1.AWSElasticBlockStoreVolumeSource{
							VolumeID: "aws-inline1",
						},
					},
				},
			},
		},
	}
	inTreeInlineVolPodWithSameCSIVolumeID := &v1.Pod{
		Spec: v1.PodSpec{
			Volumes: []v1.Volume{
				{
					VolumeSource: v1.VolumeSource{

		p.emitted = i
	}
}

func (p *parseState) skip(i int) {
	p.emitted = i
}

func (p *parseState) inline(s string) []Inline {
	s = trimSpaceTab(s)
	// Scan text looking for inlines.
	// Leaf inlines are converted immediately.
	// Non-leaf inlines have potential starts pushed on a stack while we await completion.
	// Links take priority over other emphasis, so the emphasis must be delayed.
	p.s = s

LogicalResult DecomposeTFOpsPass::InlineTFRFuncCalls() {
  // The Inliner will automatically use the registered dialect inliner.
  InlinerInterface inliner(&getContext());
  func::FuncOp func = getOperation();
  SymbolTable table(external_tfr_module_.has_value()
                        ? *external_tfr_module_
                        : func->getParentOfType<ModuleOp>());

  // The inliner only inlines the TFR call op.
  bool changed = false;

  // that work on TF dialect and before inliner so that the function calls in
  // body and cond are inlined for optimization.
  pass_manager->addPass(mlir::TFL::CreateLegalizeTFWhilePass());

  // Add function inlining pass. Both TF and TFLite dialects are opted into
  // function inliner interface.
  pass_manager->addPass(mlir::createInlinerPass());

     */
    @KaAnalysisApiInternals
    public abstract fun afterLeavingAnalysis(session: KaSession, useSiteElement: KtElement)

    /**
     * [afterLeavingAnalysis] hooks into analysis *after* [analyze]'s action has been executed.
     *
     * The signature of [afterLeavingAnalysis] should be kept stable to avoid breaking binary compatibility, since [analyze] is inlined.
     */

    //     post inlining, the function will be dead and eliminated from the IR.
    //     So there won't be any code duplication.
    // plus the function caller op can be replaced by inlined ops.
    return !wouldBeCloned || TensorFlowDialect::CanDuplicate(op);
  }

  //===--------------------------------------------------------------------===//
  // Transformation Hooks

		// This is because the merge is done by address and in case of an inlined
		// stack each of the inlined entries is a separate callgraph node.
		cfg.NoInlines = true
	case "weblist":
		trim = false
		cfg.Granularity = "addresses"
		cfg.NoInlines = false // Need inline info to support call expansion
	case "peek":
		trim = false
	case "list":
		trim = false

		t.Fatal(err)
	}
	for fullName, reason := range notInlinedReason {
		t.Errorf("%s was not inlined: %s", fullName, reason)
	}
}

func collectInlCands(msgs string) map[string]struct{} {
	rv := make(map[string]struct{})
	lines := strings.Split(msgs, "\n")
	re := regexp.MustCompile(`^\S+\s+can\s+inline\s+(\S+)`)
	for _, line := range lines {
		m := re.FindStringSubmatch(line)
		if m != nil {

 */
inline fun <reified T : Any> Project.configure(noinline configuration: T.() -> Unit): Unit =
    typeOf<T>().let { type ->
        // Find and configure extension
        extensions.findByType(type)?.let(configuration)
            ?: Factory {
                // Find and configure convention
                // Reflective look up to still support plugins that inlined this function once conventions will be removed

	// from another package is imported and inlined.
	Dcl     []*Name
	HaveDcl bool // whether we've loaded Dcl

	// Function properties, encoded as a string (these are used for
	// making inlining decisions). See cmd/compile/internal/inline/inlheur.
	Properties string

	// CanDelayResults reports whether it's safe for the inliner to delay
	// initializing the result parameters until immediately before the