}

func compareToGolden(t *testing.T, ipv6 bool, name string, actual []string) {
	t.Helper()
	gotBytes := []byte(strings.Join(actual, "\n"))
	goldenFile := filepath.Join("testdata", name+".golden")
	if ipv6 {
		goldenFile = filepath.Join("testdata", name+"_ipv6.golden")
	}
	testutil.CompareContent(t, gotBytes, goldenFile)
}

func constructTestConfig() *Config {
	return &Config{
		RestoreFormat: false,
	}

  fail "Unable to generate the CRDs for ${GATEWAY_VERSION}. Not updating the CRD file.";
fi

rm -f "${ROOTDIR}/tests/integration/pilot/testdata/gateway-api-crd.yaml"

	testDataDir = filepath.Join(operatorRootDir, "cmd/mesh/testdata/manifest-generate")

	// Snapshot charts are in testdata/manifest-generate/data-snapshot
	snapshotCharts = func() chartSourceType {
		d, err := os.MkdirTemp("", "data-snapshot-*")
		if err != nil {
			panic(fmt.Errorf("failed to make temp dir: %v", err))
		}
		f, err := os.Open("testdata/manifest-generate/data-snapshot.tar.gz")
		if err != nil {

                // TODO: consider demoting extension receiver to the first argument to align with FIR behavior. See test case
                //  analysis/analysis-api/testData/components/callResolver/resolveCall/functionTypeVariableCall_dispatchReceiver.kt:5 where
                //  FIR and FE1.0 behaves differently because FIR unifies extension receiver of functional type as the first argument

flow/core/runtime_fallback/test/saved_model,tensorflow/core/runtime_fallback/test/testdata,tensorflow/core/tfrt/stubs,tensorflow/core/tfrt/tfrt_session,tensorflow/core/tfrt/mlrt,tensorflow/core/tfrt/mlrt/attribute,tensorflow/core/tfrt/mlrt/kernel,tensorflow/core/tfrt/mlrt/bytecode,tensorflow/core/tfrt/mlrt/interpreter,tensorflow/compiler/mlir/tfrt/translate/mlrt,tensorflow/compiler/mlir/tfrt/translate/mlrt/testdata,tensorflow/core/tfrt/gpu,tensorflow/core/tfrt/run_handler_thread_pool,tensorflow/...

}

TEST(CAPI, SavedModel) {
  // Load the saved model.
  const string saved_model_dir = tensorflow::GetDataDependencyFilepath(
      tensorflow::io::JoinPath("tensorflow", "cc", "saved_model", "testdata",
                               "half_plus_two", "00000123"));
  TF_SessionOptions* opt = TF_NewSessionOptions();
  TF_Buffer* run_options = TF_NewBufferFromString("", 0);
  TF_Buffer* metagraph = TF_NewBuffer();

		}
		rec = httptest.NewRecorder()
		apiRouter.ServeHTTP(rec, reqC)
		checkRespErr(rec, http.StatusOK)
	}
}

// unzip a file into a specific target dir - used to unzip sample data in cmd/testdata/
func unzipArchive(zipFilePath, targetDir string) error {
	zipReader, err := zip.OpenReader(zipFilePath)
	if err != nil {
		return err
	}
	for _, file := range zipReader.Reader.File {

as in an <a href="#Assignment_statements">assignment statement</a>.
</p>

<pre>
var testdata *struct {
	a *[7]int
}
for i, _ := range testdata.a {
	// testdata.a is never evaluated; len(testdata.a) is constant
	// i ranges from 0 to 6
	f(i)
}

var a [10]string
for i, s := range a {
	// type of i is int
	// type of s is string

    static InternalSession from(org.eclipse.aether.RepositorySystemSession session) {
        return cast(InternalSession.class, session.getData().get(InternalSession.class), "session");
    }

    static void associate(org.eclipse.aether.RepositorySystemSession rsession, Session session) {
        if (!rsession.getData().set(InternalSession.class, null, from(session))) {

	}
	// set of inputs for uploading the objects before tests for downloading is done.
	putObjectInputs := []struct {
		bucketName    string
		objectName    string
		contentLength int64
		textData      []byte
		metaData      map[string]string
	}{
		{bucketName, objectName, int64(len(bytesData[0].byteData)), bytesData[0].byteData, make(map[string]string)},
	}