)

func validateSecretForSigning(ctx context.Context, secret *v1.Secret) (tokenID, tokenSecret string, ok bool) {
	logger := klog.FromContext(ctx)
	nameTokenID, ok := bootstrapsecretutil.ParseName(secret.Name)
	if !ok {
		logger.V(3).Info("Invalid secret name, must be of the form "+bootstrapapi.BootstrapTokenSecretPrefix+"<secret-id>", "secretName", secret.Name)
		return "", "", false
	}

		{"s3:LifecycleDelMarkerExpiration:Delete", ILMDelMarkerExpirationDelete, false},
		{"", blankName, true},
	}

	for i, testCase := range testCases {
		name, err := ParseName(testCase.s)
		expectErr := (err != nil)

		if expectErr != testCase.expectErr {
			t.Fatalf("test %v: error: expected: %v, got: %v", i+1, testCase.expectErr, expectErr)
		}

		if !testCase.expectErr {

	}

	pattern := event.NewPattern(prefix, suffix)

	var eventNames []event.Name
	var mask pubsub.Mask
	for _, s := range values[peerRESTListenEvents] {
		eventName, err := event.ParseName(s)
		if err != nil {
			writeErrorResponse(ctx, w, toAPIError(ctx, err), r.URL)
			return
		}
		mask.MergeMaskable(eventName)
		eventNames = append(eventNames, eventName)
	}

	if bucketName != "" {

class RuntimeDevices {
  using DeviceNameUtils = ::tensorflow::DeviceNameUtils;
  using ParsedName = ::tensorflow::DeviceNameUtils::ParsedName;

 public:
  // Adds a device with and empty metadata. Device can be of any type.
  void AddDevice(const ParsedName& device);

  // Adds a GPU device with GPU specific metadata.
  void AddGpuDevice(const ParsedName& device,
                    const GpuDeviceMetadata& metadata);

    }

    public void test_parseDate() {
        Date date;

        date = FessFunctions.parseDate("");
        assertNull(date);

        date = FessFunctions.parseDate("2004-04-01T12:34:56.123Z");
        assertEquals("2004-04-01T12:34:56.123Z", FessFunctions.formatDate(date));

        date = FessFunctions.parseDate("2004-04-01T12:34:56Z");
        assertEquals("2004-04-01T12:34:56.000Z", FessFunctions.formatDate(date));

#include "tensorflow/core/util/device_name_utils.h"

namespace mlir {
namespace TF {
namespace {
using DeviceNameUtils = ::tensorflow::DeviceNameUtils;
using ParsedName = ::tensorflow::DeviceNameUtils::ParsedName;

bool IsGpuDevice(const DeviceNameUtils::ParsedName &device) {
  return device.type == ::tensorflow::DEVICE_GPU;
}

}  // namespace

// Returns true if at least one GPU device is available at runtime.

func MustParse(s string) Tag {
	t, err := Parse(s)
	if err != nil {
		panic(err)
	}
	return t
}

// MustParseBase is like ParseBase, but panics if the given base cannot be parsed.
// It simplifies safe initialization of Base values.
func MustParseBase(s string) Language {
	b, err := ParseBase(s)
	if err != nil {
		panic(err)
	}
	return b
}

// MustParseScript is like ParseScript, but panics if the given script cannot be

#include "tensorflow/compiler/mlir/tensorflow/ir/tf_structs.h"

#include <optional>

namespace mlir {
namespace TF {

void RuntimeDevices::AddDevice(const ParsedName& device) {
  device_names_.push_back(device);
}

void RuntimeDevices::AddGpuDevice(const ParsedName& device,
                                  const GpuDeviceMetadata& metadata) {
  device_names_.push_back(device);

  // TODO(sanjoy): Cache DeviceNameUtils::ParsedName inside device_info_cache.
  const auto is_multiple_devices =
      [&](const jit::DeviceId& d0, std::optional<jit::DeviceId>* d1) -> bool {
    const absl::string_view name0 = device_info_cache.GetNameFor(d0);
    const absl::string_view name1 = device_info_cache.GetNameFor(d1->value());

    DeviceNameUtils::ParsedName parsed0, parsed1;

        key: ${{ runner.os }}-go-${{ matrix.go }}-${{ hashFiles('tests/go.mod') }}

    - name: Tests
      run: GITHUB_ACTION=true GORM_DIALECT=mysql GORM_DSN="gorm:gorm@tcp(localhost:9910)/gorm?charset=utf8&parseTime=True" ./tests/tests_all.sh

  mariadb:
    strategy:
      matrix:
        dbversion: [ 'mariadb:latest' ]
        go: ['1.22', '1.21', '1.20']
        platform: [ ubuntu-latest ]