EnsureAddressBind(address, devName string) (exist bool, err error)
	// UnbindAddress unbind address from the interface
	UnbindAddress(address, devName string) error
	// EnsureDummyDevice checks if dummy device is exist and, if not, create one.  If the dummy device is already exist, return true.
	EnsureDummyDevice(devName string) (exist bool, err error)

        String dirName = sampleName.endsWith("/") ? sampleName.substring(0, sampleName.length() - 1) : sampleName;
        for (String dslLanguageCodeName : GradleDsl.languageCodeNames()) {
            String dslPathFragment = '/' + dslLanguageCodeName;
            if (dirName.endsWith(dslPathFragment)) {
                dirName = dirName.substring(0, dirName.lastIndexOf(dslPathFragment));
            }
        }

#include "tensorflow/core/platform/errors.h"
#include "tensorflow/core/platform/status.h"

extern "C" {

TF_SavedModel* TF_LoadSavedModel(const char* dirname, TFE_Context* ctx,
                                 TF_Status* status) {
  std::string saved_model_dir(dirname);
  std::unique_ptr<tensorflow::SavedModelAPI> result;

  if (tensorflow::unwrap(ctx)->UsesTFRT()) {
    status->status = tensorflow::errors::Unimplemented(

	kubetypes "k8s.io/kubernetes/pkg/kubelet/types"
)

func TestExtractFromBadDataFile(t *testing.T) {
	dirName, err := mkTempDir("file-test")
	if err != nil {
		t.Fatalf("unable to create temp dir: %v", err)
	}
	defer removeAll(dirName, t)

	fileName := filepath.Join(dirName, "test_pod_config")
	err = os.WriteFile(fileName, []byte{1, 2, 3}, 0555)
	if err != nil {
		t.Fatalf("unable to write test file %#v", err)

  else:
    assert FLAGS.output.endswith('.mlir')
    generated_code = tfr_gen_from_module(sys.modules[__name__], '_composite_')

  dirname = os.path.dirname(FLAGS.output)
  if not os.path.exists(dirname):
    os.makedirs(dirname)
  with open(FLAGS.output, 'w') as f:
    f.write(generated_code)


if __name__ == '__main__':

// TF_DUMP_GRAPH_PREFIX environment variable if `dirname` is empty and
// suffixing `name` with ".mlir".
Status CreateFileForDumping(llvm::StringRef name,
                            std::unique_ptr<llvm::raw_ostream>* os,
                            std::string* filepath,
                            llvm::StringRef dirname = "");

// Dumps MLIR operation to a file and returns the file name used.
//

  else:
    assert FLAGS.output.endswith('.mlir')
    generated_code = tfr_gen_from_module(sys.modules[__name__], '_override_')

  dirname = os.path.dirname(FLAGS.output)
  if not os.path.exists(dirname):
    os.makedirs(dirname)
  with open(FLAGS.output, 'w') as f:
    f.write(generated_code)


if __name__ == '__main__':

		uint32_t count;
		[size_is(count)] DfsInfo3 *s;
	} DfsEnumArray3;

	typedef struct {
		[string] wchar_t *dfs_name;
	} DfsInfo200;

	typedef struct {
		uint32_t count;
		[size_is(count)] DfsInfo200 *s;
	} DfsEnumArray200;

	typedef struct {
		uint32_t flags;
		[string] wchar_t *dfs_name;
	} DfsInfo300;

	typedef struct {
		uint32_t count;
		[size_is(count)] DfsInfo300 *s;
	} DfsEnumArray300;

  std::vector<::tensorflow::string>* list;
  size_t position;
};

void TF_CreateDir(const char* dirname, TF_Status* status) {
  TF_SetStatus(status, TF_OK, "");
  ::tensorflow::Set_TF_Status_from_Status(
      status, ::tensorflow::Env::Default()->CreateDir(dirname));
}

void TF_DeleteDir(const char* dirname, TF_Status* status) {
  TF_SetStatus(status, TF_OK, "");
  ::tensorflow::Set_TF_Status_from_Status(

TF_CAPI_EXPORT extern TF_SavedModel* TF_LoadSavedModel(const char* dirname,
                                                       TFE_Context* ctx,
                                                       TF_Status* status);

// Load a SavedModel from `dirname`.
//
// Params:
//  dirname - A directory filepath that the SavedModel is at.
//  ctx - A TFE_Context containing optional load/TF runtime options.