}

  @Test
  @TestMetadata("javaPropertyGetter.kt")
  public void testJavaPropertyGetter() {
    runTest("analysis/analysis-api/testData/components/callResolver/resolveCall/javaPropertyGetter.kt");
  }

  @Test
  @TestMetadata("javaPropertyGetter_unqualified.kt")
  public void testJavaPropertyGetter_unqualified() {

    KtTestUtil.assertAllTestsPresentByMetadataWithExcluded(this.getClass(), new File("analysis/analysis-api/testData/components/expressionInfoProvider/isUsedAsExpression"), Pattern.compile("^(.+)\\.kt$"), null, true);
  }

  @Test
  @TestMetadata("annotatedExpr.kt")
  public void testAnnotatedExpr() {
    runTest("analysis/analysis-api/testData/components/expressionInfoProvider/isUsedAsExpression/annotatedExpr.kt");
  }

  @Test

		file    string
		want    []string
		wantErr bool
	}{
		{
			file: "testdata/unix.zip",
			want: []string{".", "dir", "dir/bar", "dir/empty", "hello", "readonly"},
		},
		{
			file: "testdata/subdir.zip",
			want: []string{".", "a", "a/b", "a/b/c"},
		},
		{
			file:    "testdata/dupdir.zip",
			wantErr: true,
		},
	} {
		test := test

			},
		},
	}

	for i, testCase := range testTable {
		t.Run(fmt.Sprint(i), func(t *testing.T) {
			testdataFile := "testdata/testdata.parquet"
			file, err := os.Open(testdataFile)
			if err != nil {
				t.Fatal(err)
			}

			s3Select, err := NewS3Select(bytes.NewReader(testCase.requestXML))
			if err != nil {

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 {

	// create xlStorage test setup
	xlStorage, _, err := newXLStorageTestSetup(t)
	if err != nil {
		t.Fatalf("Unable to cfgreate xlStorage test setup, %s", err)
	}

	xlMeta, _ := os.ReadFile("testdata/xl.meta")
	fi, _ := getFileInfo(xlMeta, "exists", "as-file", "", false, true)

	// Create files for the test cases.
	if err = xlStorage.MakeVol(context.Background(), "exists"); err != nil {