*
 * @author Pete Gillin
 * @since 20.0
 */
@GwtIncompatible
@J2ktIncompatible
@NullUnmarked
enum QuantilesAlgorithm {

  /**
   * Sorts the dataset, and picks values from it. When computing multiple quantiles, we sort once
   * and pick multiple values.
   */
  SORTING {

    @Override
    double singleQuantile(int index, int scale, double[] dataset) {
      Arrays.sort(dataset);

}

// randomly picks a character and returns its equivalent byte array.
func getRandomByte() []byte {
	const letterBytes = "abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ"
	// seeding the random number generator.
	rand.Seed(UTCNow().UnixNano())
	// pick a character randomly.
	return []byte{letterBytes[rand.Intn(len(letterBytes))]}
}

// picks a random byte and repeats it to size bytes.

// UnsealETag unseals the etag using the provided object key.
// It does not try to decrypt the ETag if len(etag) == 16
// because such ETags indicate that the S3 client hasn't sent
// an ETag = MD5(object) and the backend has picked an ETag value.
func (key ObjectKey) UnsealETag(etag []byte) ([]byte, error) {
	if !IsETagSealed(etag) {
		return etag, nil
	}
	mac := hmac.New(sha256.New, key[:])
	mac.Write([]byte("SSE-etag"))

 *
 * @author Pete Gillin
 * @since 20.0
 */
@GwtIncompatible
@J2ktIncompatible
@NullUnmarked
enum QuantilesAlgorithm {

  /**
   * Sorts the dataset, and picks values from it. When computing multiple quantiles, we sort once
   * and pick multiple values.
   */
  SORTING {

    @Override
    double singleQuantile(int index, int scale, double[] dataset) {
      Arrays.sort(dataset);

# input the branch name and paste the cherry-pick commit and click Run. A PR
# will be created.

name: Release Branch Cherrypick
on:
  workflow_dispatch:
    inputs:
      # We use this instead of the "run on branch" argument because GitHub looks
      # on that branch for a workflow.yml file, and we'd have to cherry-pick
      # this file into those branches.
      release_branch:

"pickup_longitude", "pickup_latitude", "dropoff_longitude", "dropoff_latitude", "passenger_count", "trip_distance", "fare_amount", "extra", "mta_tax", "tip_amount", "tolls_amount", "ehail_fee", "improvement_surcharge", "total_amount", "payment_type", "trip_type", "pickup", "dropoff", "cab_type", "precipitation", "snow_depth", "snowfall", "max_temp", "min_temp", "wind", "pickup_nyct2010_gid", "pickup_ctlabel", "pickup_borocode", "pickup_boroname", "pickup_ct2010", "pickup_boroct2010", "pickup_cdeligibil", "pickup_ntacode",...

### Preferred translations / glossary

- Should avoid using simplified Chinese characters and terms. Always examine if the translation can be easily comprehended by the Traditional Chinese readers.
- For some Python-specific terms like "pickle", "list", "dict" etc, we don't have to translate them.
- Use the following preferred translations when they apply in documentation prose:

- request (HTTP): 請求
- response (HTTP): 回應
- path operation: 路徑操作

        new ImmutableListMultimap.Builder<Integer, String>()
            .put(4, "Inky")
            .put(6, "Blinky")
            .put(5, "Pinky")
            .put(5, "Pinky")
            .put(5, "Clyde")
            .build();

    List<String> badGuys = Arrays.asList("Inky", "Blinky", "Pinky", "Pinky", "Clyde");
    Function<String, Integer> stringLengthFunction =
        new Function<String, Integer>() {
          @Override

        // Setup ingest factory
        TestIngester ingester = new TestIngester();
        ingestFactory.ingesters.add(ingester);
        ComponentUtil.register(ingestFactory, "ingestFactory");

        // Reinitialize to pick up factory
        indexUpdateCallback.init();

        DataStoreParams paramMap = new DataStoreParams();
        Map<String, Object> dataMap = new HashMap<>();
        dataMap.put("test", "value");

All replication failures are picked up by the scanner which runs at a one minute frequency, each time scanning up to a sixteenth of the namespace. Object versions marked `PENDING` or `FAILED` are re-queued for replication.