}
	}
}

type tester interface {
	Fatal(...any)
}

func openTestFile(t tester, file string) []byte {
	f, err := os.ReadFile("testdata/testdata.zip")
	if err != nil {
		t.Fatal(err)
	}
	z, err := zip.NewReader(bytes.NewReader(f), int64(len(f)))
	if err != nil {
		t.Fatal(err)
	}
	for _, f := range z.File {
		if f.Name == file {

        // Clean up
        Arrays.fill(plaintext, '\0');
    }

    @Test
    public void testDecryptWithWrongSalt() throws Exception {
        char[] plaintext = "TestData".toCharArray();

        // Encrypt with first storage
        byte[] encrypted = storage.encryptCredentials(plaintext);

        // Create new storage with different salt

		t.Fatalf("unexpected CreateHeader error: %v", err)
	}
	if err := w.Close(); err != nil {
		t.Fatalf("unexpected Close error: %v", err)
	}

	want, err := os.ReadFile("testdata/time-go.zip")
	if err != nil {
		t.Fatalf("unexpected ReadFile error: %v", err)
	}
	if got := buf.Bytes(); !bytes.Equal(got, want) {
		fmt.Printf("%x\n%x\n", got, want)
		t.Error("contents of time-go.zip differ")

        "//tensorflow/core/platform:resource_loader",
    ],
)

tf_cc_test(
    name = "c_api_experimental_test",
    size = "medium",
    srcs = ["c_api_experimental_test.cc"],
    data = [
        "testdata/tf_record",
        "//tensorflow/c/experimental/stream_executor/test:test_pluggable_device.so",
        "//tensorflow/core/common_runtime/next_pluggable_device/c:test_next_pluggable_device_plugin.so",
    ],

			},
		},
	}

	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/...

	// Create a testbucket
	err = objLayer.MakeBucket(ctx, "testbucket", MakeBucketOptions{})
	if err != nil {
		t.Fatal(err)
	}

	// Unzip sample object data to the existing disks
	err = unzipArchive("testdata/xl-meta-inline-notinline.zip", path)
	if err != nil {
		t.Fatal(err)
	}

	// Try to read the object and check its md5sum

}

TEST(CAPI, SavedModel) {
  // Load the saved model.
  const std::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();

	// 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", "", fileInfoOpts{Data: false})

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

		}
		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.File {