)

// ConfigWriter is a writer for processing responses from the Ztunnel Admin config_dump endpoint
type ConfigWriter struct {
	Stdout      io.Writer
	ztunnelDump *ZtunnelDump
	FullDump    []byte
}

// Prime loads the config dump into the writer ready for printing
func (c *ConfigWriter) Prime(b []byte) error {
	cd := ZtunnelDump{}
	// TODO(fisherxu): migrate this to jsonpb when issue fixed in golang

		inputFile   string
		wantErr     bool
	}{
		{
			name:        "errors if unable to unmarshal bytes",
			inputFile:   "",
			wantConfigs: 0,
			wantErr:     true,
		},
		{
			name:        "loads valid ztunnel config_dump",
			inputFile:   "testdata/dump.json",
			wantConfigs: 27,
			wantErr:     false,
		},
	}
	for _, tt := range tests {
		t.Run(tt.name, func(t *testing.T) {
			cw := &ConfigWriter{}

        Doc(
            """
            Load and use Google Fonts.
            """
        ),
    ] = True,
) -> HTMLResponse:
    """
    Generate and return the HTML response that loads ReDoc for the alternative
    API docs (normally served at `/redoc`).

    You would only call this function yourself if you needed to override some parts,
    for example the URLs to use to load ReDoc's JavaScript and CSS.

        allow_redirects=False, auth=(client_id, client_secret))

    print('body: ' + id_token_response.text)

    # we can now use the id_token as much as we want to access protected resources.
    tokens = json.loads(id_token_response.text)
    id_token = tokens['id_token']

    response = sts_client.assume_role_with_web_identity(
        RoleArn='arn:aws:iam::123456789012:user/svc-internal-api',
        RoleSessionName='test',

 * unloading an OSGi bundle.
 *
 * <p>{@code com.google.common.base.FinalizableReferenceQueue} loads this class in its own class
 * loader. That way, this class doesn't prevent the main class loader from getting garbage
 * collected, and this class can detect when the main class loader has been garbage collected and
 * stop itself.
 */

type EndpointCluster struct {
	address            string
	port               int
	cluster            string
	status             core.HealthStatus
	failedOutlierCheck bool
}

// Prime loads the clusters output into the writer ready for printing
func (c *ConfigWriter) Prime(b []byte) error {
	cd := clusters.Wrapper{}
	err := json.Unmarshal(b, &cd)
	if err != nil {

	buckets     []string
}

// NewMetricsGroup creates a new MetricsGroup. To create a metrics group for
// metrics with a `bucket` dimension (label), use `NewBucketMetricsGroup`.
//
// The `loader` function loads metrics from the cache and the system.
func NewMetricsGroup(path collectorPath, descriptors []MetricDescriptor,
	loader MetricsLoaderFn,
) *MetricsGroup {
	mg := &MetricsGroup{
		CollectorPath: path,

 * unloading an OSGi bundle.
 *
 * <p>{@code com.google.common.base.FinalizableReferenceQueue} loads this class in its own class
 * loader. That way, this class doesn't prevent the main class loader from getting garbage
 * collected, and this class can detect when the main class loader has been garbage collected and
 * stop itself.
 */

   * {@code key}, simply waits for that thread to finish and returns its loaded value. Note that
   * multiple threads can concurrently load values for distinct keys.
   *
   * <p>Caches loaded by a {@link CacheLoader} will call {@link CacheLoader#load} to load new values
   * into the cache. Newly loaded values are added to the cache using {@code

### Server Memory

For example, if your code loads a Machine Learning model with **1 GB in size**, when you run one process with your API, it will consume at least 1 GB of RAM. And if you start **4 processes** (4 workers), each will consume 1 GB of RAM. So in total, your API will consume **4 GB of RAM**.

And if your remote server or virtual machine only has 3 GB of RAM, trying to load more than 4 GB of RAM will cause problems. 🚨