if proc.wait():
    # Errors from find_cuda_config.py were sent to stderr.
    print('Asking for detailed CUDA configuration...\n')
    return False

  config = dict(
      tuple(line.decode('ascii').rstrip().split(': ')) for line in proc.stdout)

  print('Found CUDA %s in:' % config['cuda_version'])
  print('    %s' % config['cuda_library_dir'])
  print('    %s' % config['cuda_include_dir'])

	}

	return buf[8:], major, minor, nil
}

func isXL2V1Format(buf []byte) bool {
	_, _, _, err := checkXL2V1(buf)
	return err == nil
}

//msgp:tuple xlMetaV2VersionHeader
type xlMetaV2VersionHeader struct {
	VersionID [16]byte
	ModTime   int64
	Signature [4]byte
	Type      VersionType
	Flags     xlFlags

        and `audio_dataset_from_directory`, to be used with the
        `validation_split` argument, for returning both dataset splits at once,
        as a tuple.
    *   Added `tf.keras.utils.split_dataset` utility to split a `Dataset` object
        or a list/tuple of arrays into two `Dataset` objects (e.g. train/test).
    *   Added step granularity to `BackupAndRestore` callback for handling

  // More info: https://kubernetes.io/docs/concepts/storage/volumes#emptydir
  // +optional
  optional k8s.io.apimachinery.pkg.api.resource.Quantity sizeLimit = 2;
}

// EndpointAddress is a tuple that describes single IP address.
// +structType=atomic
message EndpointAddress {
  // The IP of this endpoint.
  // May not be loopback (127.0.0.0/8 or ::1), link-local (169.254.0.0/16 or fe80::/10),

    }

    String getCrawlerMetadataNameMapping();

    default Tuple3<String, String, String> getCrawlerMetadataNameMapping(final String name) {
        @SuppressWarnings("unchecked")
        Map<String, Tuple3<String, String, String>> params =
                (Map<String, Tuple3<String, String, String>>) propMap.get(CRAWLER_METADATA_NAME_MAPPING);
        if (params == null) {

                    List<Tuple3<String, QueryBuilder, ScoreFunctionBuilder<?>>> boostList = queryMap.get(termKey);
                    if (boostList == null) {
                        boostList = new ArrayList<>();
                        queryMap.put(termKey, boostList);
                    }
                    boostList.add(

        });
    }

    protected <T> T processVirtualHost(final Function<String, T> func, final T defaultValue) {
        final Tuple3<String, String, String>[] vHosts = ComponentUtil.getFessConfig().getVirtualHosts();
        return LaRequestUtil.getOptionalRequest().map(req -> {
            for (final Tuple3<String, String, String> host : vHosts) {
                final String headerValue = req.getHeader(host.getValue1());

        thumbnailQueueThread = new Thread((Runnable) () -> {
            final List<Tuple3<String, String, String>> taskList = new ArrayList<>();
            while (generating) {
                try {
                    final Tuple3<String, String, String> task = thumbnailTaskQueue.poll(thumbnailTaskQueueTimeout, TimeUnit.MILLISECONDS);
                    if (task == null) {

    }

    @Override
    public Tuple3<String, String, String> createTask(final String path, final Map<String, Object> docMap) {
        final FessConfig fessConfig = ComponentUtil.getFessConfig();
        final String thumbnailId = DocumentUtil.getValue(docMap, fessConfig.getIndexFieldId(), String.class);
        final Tuple3<String, String, String> task = new Tuple3<>(getName(), thumbnailId, path);

    }

    @Override
    public Tuple3<String, String, String> createTask(final String path, final Map<String, Object> docMap) {
        final FessConfig fessConfig = ComponentUtil.getFessConfig();
        final String thumbnailId = DocumentUtil.getValue(docMap, fessConfig.getIndexFieldId(), String.class);
        final Tuple3<String, String, String> task = new Tuple3<>(getName(), thumbnailId, path);