// and therefore requires a module-level context.
  pm.addPass(createQuantizePass(quantize_options));
  pm.addNestedPass<func::FuncOp>(createPostQuantizePass());

  // Convert XlaCallModuleOps lifted but not quantized to func.call op.
  // The reasons these ops are not quantized may be:
  // 1. Disabled due to selective quantization.
  // 2. Not supported, e.g. add op for server.
  pm.addPass(createXlaCallModuleToCallPass());

	}
	if _, err := fmt.Fprintf(w, "mode: %s\n", fm.cm.String()); err != nil {
		return err
	}
	pkgs := make([]string, 0, len(fm.pm))
	for importpath := range fm.pm {
		pkgs = append(pkgs, importpath)
	}
	slices.Sort(pkgs)
	for _, importpath := range pkgs {
		p := fm.pm[importpath]
		units := make([]extcu, 0, len(p.unitTable))
		for u := range p.unitTable {
			units = append(units, u)
		}

	pi1 = pi0 // ERROR "cannot use|incompatible"
	pi1 = pi  // ERROR "cannot use|incompatible"

	pm0 = pm  // ERROR "cannot use|incompatible"
	pm0 = pm1 // ERROR "cannot use|incompatible"
	pm = pm0  // ERROR "cannot use|incompatible"
	pm = pm1  // ERROR "cannot use|incompatible"
	pm1 = pm0 // ERROR "cannot use|incompatible"
	pm1 = pm  // ERROR "cannot use|incompatible"

	pp0 = pp  // ERROR "cannot use|incompatible"

                       mlir::MLIRContext& ctx, mlir::ModuleOp module_op) {
  mlir::PassManager pm{&ctx};
  add_passes_func(pm);

  mlir::StatusScopedDiagnosticHandler diagnostic_handler{&ctx};
  TF_RETURN_IF_ERROR(MaybeEnableIrPrinting(pm, name));

  if (failed(pm.run(module_op))) {
    return absl::InternalError(
        absl::StrFormat("Failed to run pass: %s. %s", name,

	dPM := v1.DefaultProcMount
	uPM := v1.UnmaskedProcMount
	tests := map[string]struct {
		pm     *v1.ProcMountType
		expect []string
	}{
		"procMount nil": {
			pm:     nil,
			expect: defaultMaskedPaths,
		},
		"procMount default": {
			pm:     &dPM,
			expect: defaultMaskedPaths,
		},
		"procMount unmasked": {
			pm:     &uPM,
			expect: []string{},
		},
	}

	for k, v := range tests {

// license that can be found in the LICENSE file.

// Check for cycles in a pointer value's method call.

package ptrmethcall

type T int

func (*T) pm() int {
	_ = x
	return 0
}

var (
	p *T
	x = p.pm() // ERROR "initialization cycle|depends upon itself"

  }

  VLOG(1) << "Run MLIR Graph Optimization Passes";
  PassManager pm(module.getContext());
  ::tensorflow::applyTensorflowAndCLOptions(pm);

  // Run island coarsening before shape inference to allow more exact shape
  // inference using constant folding within islands.
  pm.addNestedPass<func::FuncOp>(
      tf_executor::CreateTFExecutorIslandCoarseningPass());
  pm.addPass(CreateTFShapeInferencePass());

#include "mlir/Pass/PassManager.h"  // from @llvm-project

namespace tensorflow {
namespace quantization {

// Enables IR printing for `pm`. When the passes are run, each pass will dump to
// its own file with prefix `file_name_prefix`.
void EnableIrPrinting(mlir::PassManager &pm,
                      absl::string_view file_name_prefix);

// If verbosity level >= 1, this will dump intermediate IRs of passes to a file.

      mlir::TF::CreateCanonicalizeCompileAndReplicateAttributesPass());
  tensorflow::tf2xla::internal::AddReplicatedBridgeClusteringPipelinePasses(
      pm, module_name);
}

void CreateReplicatedClusteringPipelineV2(OpPassManager &pm) {
  CreateReplicatedClusteringPipeline(pm, /*module_name=*/"");
}

tensorflow::Status RunFunctionTf2xlaClusteringBridge(
    ModuleOp module, bool is_supported_by_replicated_brige,

// Check for cycles in the method call of a pointer value returned
// from a function call.

package funcptrmethcall

type T int

func (*T) pm() int {
	_ = x
	return 0
}

func pf() *T {
	return nil
}