if (Features.buildConsumer(request.getUserProperties())) {
                    request.getRepositorySession()
                            .getData()
                            .set(ModelTransformerContext.KEY, transformerContextBuilder.build());
                }

                return results;
            } finally {

        return this;
    }

    @Override
    public EventSpyDispatcher getEventSpyDispatcher() {
        return eventSpyDispatcher;
    }

    @Override
    public Map<String, Object> getData() {
        if (data == null) {
            data = new HashMap<>();
        }

        return data;
    }

                // 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

    @Nonnull
    Settings getSettings();

    @Nonnull
    LocalRepository getLocalRepository();

    @Nonnull
    List<RemoteRepository> getRemoteRepositories();

    @Nonnull
    SessionData getData();

    /**
     * Returns immutable user properties to use for interpolation. The user properties have been configured directly
     * by the user, e.g. via the {@code -Dkey=value} parameter on the command line.
     *

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/...

        "//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",
    ],

}

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 {

If the iteration variables are declared outside the "for" statement,
after execution their values will be those of the last iteration.
</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