final List<? extends RESULT> list = delegateSelectList(cb, entityType);
        if (list.isEmpty()) {
            return null;
        }
        if (list.size() >= 2) {
            String msg = "The size of selected list is over 1: " + list.size();
            throw new FetchingOverSafetySizeException(msg, 1); // immediately caught by caller and translated
        }
        return list.get(0);
    }

    @Override

        final List<? extends RESULT> list = delegateSelectList(cb, entityType);
        if (list.isEmpty()) {
            return null;
        }
        if (list.size() >= 2) {
            String msg = "The size of selected list is over 1: " + list.size();
            throw new FetchingOverSafetySizeException(msg, 1); // immediately caught by caller and translated
        }
        return list.get(0);
    }

    @Override

Istio's AuthorizationPolicy has label selectors.
However, we intentionally do not send those as part of the Workload API, in order to keep the size low.

The obvious solution to this is to put the list of selected workloads into the policy itself.
However, this means anytime a workload changes (often), we need to update the policy.

Instead, the opposite was chosen: each workload will list the policies that select it.

      "type": "timeseries"
    }
  ],
  "refresh": "",
  "schemaVersion": 38,
  "style": "dark",
  "tags": [],
  "templating": {
    "list": [
      {
        "current": {
          "selected": false,
          "text": "default",
          "value": "default"
        },
        "hide": 0,
        "includeAll": false,
        "multi": false,
        "name": "datasource",
        "options": [],

// rarer if the bloom filter for the path is clean and no lifecycles are applied.
// Skipped leaves have their totals transferred from the previous cycle.
//
// When selected there is a one in healObjectSelectProb that any object will be chosen for heal scan.
//
// Compaction happens when either:
//
// 1) The folder (and subfolders) contains less than dataScannerCompactLeastObject objects.

    it may slow down the tests for not running in parallel and may cause the
    test to timeout but it could be useful when you need to execute a single
    test or more in general your filtered/selected tests have a very low
    execution time and the sharding
    [could create an overhead on the test execution](https://github.com/bazelbuild/bazel/issues/2113#issuecomment-264054799).

        int numHashFunctions,
        LockFreeBitArray bits);

    /**
     * Queries {@code numHashFunctions} bits of the given bit array, by hashing a user element;
     * returns {@code true} if and only if all selected bits are set.
     */
    <T extends @Nullable Object> boolean mightContain(
        @ParametricNullness T object,
        Funnel<? super T> funnel,
        int numHashFunctions,
        LockFreeBitArray bits);

	tx = tx.callbacks.Row().Execute(tx)
	rows, ok := tx.Statement.Dest.(*sql.Rows)
	if !ok && tx.DryRun && tx.Error == nil {
		tx.Error = ErrDryRunModeUnsupported
	}
	return rows, tx.Error
}

// Scan scans selected value to the struct dest
func (db *DB) Scan(dest interface{}) (tx *DB) {
	config := *db.Config
	currentLogger, newLogger := config.Logger, logger.Recorder.New()
	config.Logger = newLogger

	tx = db.getInstance()

   * (unless they were already returned).
   *
   * The iterator supports [MutableIterator.remove]. Removing a URL from the iterator evicts the
   * corresponding response from the cache. Use this to evict selected responses.
   */
  @Throws(IOException::class)
  fun urls(): MutableIterator<String> {
    return object : MutableIterator<String> {
      private val delegate: MutableIterator<DiskLruCache.Snapshot> = cache.snapshots()

#### Discovery Filter

The Discovery Filter controller is used to implement the `discoverySelectors` field of `MeshConfig`. This controller reads `Namespace`s in the cluster to determine if they should be "selected". Many controllers consumer this filter to only process a subset of configurations.

#### Multicluster

Various controllers read from multiple clusters.