panicunsafestringlen()
	}

	if uintptr(len) > -uintptr(ptr) {
		if ptr == nil {
			panicunsafestringnilptr()
		}
		panicunsafestringlen()
	}
}

// Keep this code in sync with cmd/compile/internal/walk/builtin.go:walkUnsafeString
func unsafestring64(ptr unsafe.Pointer, len64 int64) {
	len := int(len64)
	if int64(len) != len64 {
		panicunsafestringlen()
	}
	unsafestring(ptr, len)
}

		return false
	}
	typeof, _ := typecheck(&TypeConfig{}, f)
	changed := false

	// step 1: Find all the nils with the offending types.
	// Compute their replacement.
	badNils := map[any]ast.Expr{}
	walk(f, func(n any) {
		if i, ok := n.(*ast.Ident); ok && i.Name == "nil" && badType(typeof[n]) {
			badNils[n] = &ast.BasicLit{ValuePos: i.NamePos, Kind: token.INT, Value: "0"}
		}
	})

namespace stablehlo::quantization {

void DisableDebugging(mlir::ModuleOp module_op) {
  module_op.walk(
      [](mlir::TF::DumpTensorOp dump_op) { dump_op.setEnabled(false); });
}

void ChangeToQuantizedFilename(mlir::ModuleOp module_op) {
  module_op.walk([](mlir::TF::DumpTensorOp dump_op) {
    dump_op.setFileName("quantized_tensor_data.pb");
  });
}

struct MoveTpuCompileToFrontPass
    : public impl::MoveTpuCompileToFrontPassBase<MoveTpuCompileToFrontPass> {
  void runOnOperation() override;
};

void MarkCompilationOps(Operation* func) {
  func->walk([&](Operation* op) {
    if (llvm::isa<TF::_TPUCompileMlirOp>(op)) {
      op->setAttr("_is_compilation", UnitAttr::get(func->getContext()));
      op = op->getParentOp();
      while (op && op != func) {

  OpBuilder globalBuilder(module.getBodyRegion());

  module.walk(
      [&](TF::ReadVariableOp op) { MaybeCreateVarHandleForOp(op, solver); });
  module.walk(
      [&](TF::AssignVariableOp op) { MaybeCreateVarHandleForOp(op, solver); });
  module.walk(
      [&](TF::IteratorGetNextOp op) { MaybeCreateVarHandleForOp(op, solver); });
}

}  // namespace

		return nil
	}
	for _, m := range list {
		if err := walk(m); err != nil {
			return nil, err
		}
	}

	// Walk modules in reverse post-order, only adding those not implied already.
	have := map[module.Version]bool{}
	walk = func(m module.Version) error {
		if have[m] {
			return nil
		}
		have[m] = true
		for _, m1 := range reqCache[m] {
			walk(m1)
		}
		return nil
	}

}

// ReadDir via os.ReadDir
func (fs *DefaultFs) ReadDir(dirname string) ([]os.DirEntry, error) {
	return os.ReadDir(fs.prefix(dirname))
}

// Walk via filepath.Walk
func (fs *DefaultFs) Walk(root string, walkFn filepath.WalkFunc) error {
	return filepath.Walk(fs.prefix(root), walkFn)
}

// defaultFile implements File using same-named functions from "os"
type defaultFile struct {
	file *os.File
}

// from filepath.Walk:
//   - List of files/dirs is not sorted for performance reasons
//   - callback walkFunc is invoked on root directory after visiting children dirs and files
func walkDeep(root string, walkFunc filepath.WalkFunc) error {
	info, err := os.Lstat(root)
	if err != nil {
		return walkFunc(root, nil, err)
	}
	return walk(root, info, walkFunc)
}

// results.
void RemoveIdentityFromRegion(Region& region) {
  region.walk([](Operation* op) {
    if (isa<TF::IdentityOp, TF::IdentityNOp>(op)) {
      op->replaceAllUsesWith(op->getOperands());
      op->erase();
    }
  });
}

void TPUIdentityPruning::runOnOperation() {
  SmallVector<tf_device::ClusterOp, 4> clusters;
  getOperation().walk(
      [&](tf_device::ClusterOp cluster) { clusters.push_back(cluster); });

      CallGraphNode* node = call_graph.resolveCallable(call, symbol_table);
      pending_call_nodes.emplace_back(node, tpu_cluster);
    }
  };

  // Traverse ops in each TPU cluster.
  auto result = module.walk([&](tf_device::ClusterOp tpu_cluster) {
    std::optional<std::string> host_device;
    if (pass_host_device) {
      std::string host_device_value;
      if (failed(tensorflow::GetHostDeviceOutsideComputation(