})

				indexes[index.Name] = idx
			}
		}
	}
	for _, index := range indexes {
		if index.Class == "UNIQUE" && len(index.Fields) == 1 {
			index.Fields[0].Field.UniqueIndex = index.Name
		}
	}
	return indexes
}

func (schema *Schema) LookIndex(name string) *Index {
	if schema != nil {
		indexes := schema.ParseIndexes()
		for _, index := range indexes {

 */
public interface NtlmFlags {

    /**
    * Indicates whether Unicode strings are supported or used.
    */
    public static final int NTLMSSP_NEGOTIATE_UNICODE = 0x00000001;

    /**
    * Indicates whether OEM strings are supported or used.
    */
    public static final int NTLMSSP_NEGOTIATE_OEM = 0x00000002;

    /**
    * Indicates whether the authentication target is requested from
    * the server.

     * @throws IllegalArgumentException if {@code indexes} is empty
     */
    public ScaleAndIndexes indexes(int... indexes) {
      return new ScaleAndIndexes(scale, indexes.clone());
    }

    /**
     * Specifies multiple quantile indexes to be calculated, each index being the k in the kth
     * q-quantile.
     *
     * @param indexes the quantile indexes, each of which must be in the inclusive range [0, q] for

}

var (
	// ErrInvalidEncryptionMethod indicates that the specified SSE encryption method
	// is not supported.
	ErrInvalidEncryptionMethod = Errorf("The encryption method is not supported")

	// ErrInvalidCustomerAlgorithm indicates that the specified SSE-C algorithm
	// is not supported.
	ErrInvalidCustomerAlgorithm = Errorf("The SSE-C algorithm is not supported")

      return Quantiles.scale(scale).index(index).computeInPlace(dataset);
    }

    @Override
    Map<Integer, Double> multipleQuantiles(
        Collection<Integer> indexes, int scale, double[] dataset) {
      return Quantiles.scale(scale).indexes(indexes).computeInPlace(dataset);
    }
  },
  ;

  /**
   * Calculates a single quantile. Equivalent to {@code

    ImmutableSet<Integer> indexes = ImmutableSet.of(50, 90, 99);
    Map<Integer, Double> referenceQuantiles =
        REFERENCE_ALGORITHM.multipleQuantiles(indexes, 100, dataset.clone());
    assertThat(referenceQuantiles.keySet()).isEqualTo(indexes);
    for (QuantilesAlgorithm algorithm : NON_REFERENCE_ALGORITHMS) {
      Map<Integer, Double> quantiles = algorithm.multipleQuantiles(indexes, 100, dataset.clone());

     */
    @Nonnull
    Optional<Map<String, String>> userProperties();

    /**
     * Indicates whether to show the version information and exit.
     *
     * @return an {@link Optional} containing the boolean flag, or empty if not set
     */
    @Nonnull
    Optional<Boolean> showVersionAndExit();

    /**
     * Indicates whether to show the version information.
     *

  // * kubernetes.io/hostname: the value indicates the hostname of the node
  //   where the endpoint is located. This should match the corresponding
  //   node label.
  // * topology.kubernetes.io/zone: the value indicates the zone where the
  //   endpoint is located. This should match the corresponding node label.
  // * topology.kubernetes.io/region: the value indicates the region where the

     */
    @Nonnull
    Optional<String> alternatePomFile();

    /**
     * Indicates whether Maven should operate in offline mode.
     *
     * @return an {@link Optional} containing true if offline mode is enabled, false if disabled, or empty if not specified
     */
    @Nonnull
    Optional<Boolean> offline();

    /**
     * Indicates whether Maven should operate in non-recursive mode (i.e., not build child modules).
     *

${packaging.scripts.header}

#
# This script is executed in the pre-installation phase
#
#   On Debian,
#       $1=install : indicates an new install
#       $1=upgrade : indicates an upgrade
#
#   On RedHat,
#       $1=1       : indicates an new install
#       $1=2       : indicates an upgrade



# Sets the default values for fess variables used in this script
FESS_USER="${packaging.fess.user}"
FESS_GROUP="${packaging.fess.group}"