// value indicates whether the append occurred.
func (h *nextHist) add(file, line, text string) bool {
	// Only record source code in testdata unless the inlines flag is set
	if !*inlines && !strings.Contains(file, "/testdata/") {
		return false
	}
	fi := h.f2i[file]
	if fi == 0 {
		h.fs = append(h.fs, file)
		fi = uint8(len(h.fs))
		h.f2i[file] = fi
	}

// removed by resource lifting. Requires known maximum sizes of stacks and
// known element shapes of push ops.
std::unique_ptr<OperationPass<ModuleOp>> CreateStackOpsDecompositionPass();

// Creates a pass to strip the "tf._noinline" attribute from the functions in
// the module.
std::unique_ptr<OperationPass<ModuleOp>> CreateStripNoinlineAttributePass();

// Converts tensor list operations into operations on buffers and sizes. Needs

    // This pass 'freezes' immutable global tensors and inlines them as tf
    // constant ops.
    pass_manager->addPass(mlir::tf_saved_model::CreateFreezeGlobalTensorsPass(
        /*allow_mutable_tensors=*/pass_config.enable_tflite_variables));
  }

  if (!saved_model_dir.empty()) {
    // This pass 'freezes' tf saved model asset ops and inlines as string values
    // in a format of the tf constant op.

  pm.addPass(mlir::quant::CreateMergeSaveFunctionOpsToMainPass());
  pm.addNestedPass<mlir::func::FuncOp>(
      mlir::quant::CreateMergeDuplicateResourceOpsPass());

  // Used to clean up the "tf._noinliner" attribute that is previously used to
  // prevent certain functions from being inlined (see
  // `MarkFunctionsNoinlinePass`). InlinerPass must not come after this pass.

  return %x : tensor<i32>
}

// -----

// Test for XlaLaunch

func.func private @xla_func_0(%arg0: tensor<1x3xf32>, %arg1: tensor<1x3xf32>) -> tensor<1x3xf32> attributes {tf._XlaMustCompile = true, tf._noinline = true, tf._original_func_name = "should_not_be_used"} {
  %1 = "tf.AddV2"(%arg0, %arg1) {__op_key = 0: i32} : (tensor<1x3xf32>, tensor<1x3xf32>) -> tensor<1x3xf32>
  func.return %1 : tensor<1x3xf32>
}

		gotStacks = append(gotStacks, gotStmts)
		gotStmts = nil
	}
	sortInlineStacks(gotStacks)
	sortInlineStacks(wantStacks)
	if !reflect.DeepEqual(wantStacks, gotStacks) {
		t.Errorf("wanted inlines %+v but got %+v\n%s", wantStacks, gotStacks, dumpBytes)
	}

}

// testDebugLines compiles testdata/<file> with flags -N -l and -d=ssa/genssa/dump=<function>

	for _, n := range g.Nodes {
		name, flat, cum := n.Info.PrintableName(), n.FlatValue(), n.CumValue()

		var inline, noinline bool
		for _, e := range n.In {
			if e.Inline {
				inline = true
			} else {
				noinline = true
			}
		}

		var inl string
		if inline {
			if noinline {
				inl = "(partial-inline)"
			} else {
				inl = "(inline)"
			}
		}

		flatSum += flat

 *
 * @see [NamedDomainObjectCollection.named]
 * @see [NamedDomainObjectProvider.configure]
 */
@Suppress("unchecked_cast")
inline fun <reified T : Any> NamedDomainObjectCollection<out Any>.named(name: String, noinline configuration: T.() -> Unit): NamedDomainObjectProvider<T> =
    (this as NamedDomainObjectCollection<T>).named(name, T::class.java, configuration)


/**

// saved using the SaveV2 op.
std::unique_ptr<OperationPass<ModuleOp>> CreateInsertSaveOpPass();

// Creates a pass that marks functions with the attribute `tf._noinline = true`
// to avoid being inlined by the `InlinerPass`. `noinline_functions` is the name
// of the functions to mark.
std::unique_ptr<OperationPass<func::FuncOp>> CreateMarkFunctionsNoinlinePass(

    val registeredTestProjects: MutableList<TaskProvider<out Task>> = mutableListOf()

    abstract
    val baselines: Property<String>

    inline fun <reified T : Task> registerTestProject(testProject: String, noinline configuration: T.() -> Unit): TaskProvider<T> =
        registerTestProject(testProject, T::class.java, configuration)