* consistent hashing</a> for more information.
   */
  public static int consistentHash(long input, int buckets) {
    checkArgument(buckets > 0, "buckets must be positive: %s", buckets);
    LinearCongruentialGenerator generator = new LinearCongruentialGenerator(input);
    int candidate = 0;
    int next;

    // Jump from bucket to bucket until we go out of range
    while (true) {

                                        <th style="width: 25%"><la:message
                                                key="labels.dict_protwords_source"/></th>
                                        <td>${f:h(input)}<la:hidden property="input"/></td>
                                    </tr>
                                    </tbody>
                                </table>
                            </div>

import java.util.Random;
import org.jspecify.annotations.NullUnmarked;

/**
 * Utilities for benchmarks.
 *
 * <p>In many cases, we wish to vary the order of magnitude of the input as much as we want to vary
 * the input itself, so most methods which generate values use an exponential distribution varying
 * the order of magnitude of the generated values uniformly at random.
 *
 * @author Louis Wasserman
 */
@NullUnmarked

        assertFalse(Arrays.equals(encKey, decKey), "Encryption and decryption keys should be different");
    }

    @Test
    @DisplayName("Should produce consistent keys for same input")
    void testDeriveKeys_Consistency() {
        // Given
        int dialect = Smb2Constants.SMB2_DIALECT_0311;

        // When - derive same key twice

    /**
     * Calculates the effective repositories for the given input repositories which are assumed to be already mirrored
     * (if applicable). This process will essentially remove duplicate repositories by merging them into one equivalent
     * repository. It is worth to point out that merging does not simply choose one of the input repositories and
     * discards the others but actually combines their possibly different policies.

					<input class="form-control" type="text" id="as_q" name="as.q" value="${f:h(fe:join(as.q))}">
				</div>
			</div>
			<div class="mb-3 row">
				<label for="as_epq" class="col-lg-3 col-md-4 col-sm-5 col-12 col-form-label"><la:message
						key="labels.advance_search_phrase_query"
					/></label>
				<div class="col-lg-5 col-md-8 col-sm-7 col-6">

    public static OptionalEntity<StopwordsItem> createStopwordsItem(final CreateForm form, final VaErrorHook hook) {
        return getEntity(form).map(entity -> {
            final String newInput = form.input;
            validateStopwordsString(newInput, "input", hook);
            entity.setNewInput(newInput);
            return entity;
        });
    }

                    fp = cur;
                }
                break;
            default:
                input.append((char) c);
                break;
            }
        }

        if (c == -1 && input.length() == 0) {
            return null;
        }

        return input.toString();
    }

    @Override
    public final String readUTF() throws SmbException {

Add the following optimal entries for `hive-site.xml` to configure Hive with **MinIO**.

```
hive.blobstore.use.blobstore.as.scratchdir=true
hive.exec.input.listing.max.threads=50
hive.load.dynamic.partitions.thread=25
hive.metastore.fshandler.threads=50
hive.mv.files.threads=40
mapreduce.input.fileinputformat.list-status.num-threads=50
```

		}
	}
	return nil
}

// Empty indicates if kv is not set
func (kv BatchJobKV) Empty() bool {
	return kv.Key == "" && kv.Value == ""
}

// Match matches input kv with kv, value will be wildcard matched depending on the user input
func (kv BatchJobKV) Match(ikv BatchJobKV) bool {
	if kv.Empty() {
		return true
	}
	if strings.EqualFold(kv.Key, ikv.Key) {
		return wildcard.Match(kv.Value, ikv.Value)
	}