/**
         *
         */
        public void getIii() {
        }

        /**
         * @param arg1
         * @param arg2
         * @return Number
         */
        public Number add(final Number arg1, final Number arg2) {
            return Integer.valueOf(3);
        }

        /**
         * @param arg1
         * @param arg2
         * @return int
         */

        if (field == null) {
            return null;
        }
        if (clazz.equals(Integer.class)) {
            final Number value = (Number) field;
            return (T) Integer.valueOf(value.intValue());
        }
        if (clazz.equals(Long.class)) {
            final Number value = (Number) field;
            return (T) Long.valueOf(value.longValue());
        }
        return (T) field;
    }

    /**

    this.loadSuccessCount = loadSuccessCount;
    this.loadExceptionCount = loadExceptionCount;
    this.totalLoadTime = totalLoadTime;
    this.evictionCount = evictionCount;
  }

  /**
   * Returns the number of times {@link Cache} lookup methods have returned either a cached or
   * uncached value. This is defined as {@code hitCount + missCount}.
   *

      }
      return array;
    }

    /** Number of bits */
    long bitSize() {
      return (long) data.length() * Long.SIZE;
    }

    /**
     * Number of set bits (1s).
     *
     * <p>Note that because of concurrent set calls and uses of atomics, this bitCount is a (very)
     * close *estimate* of the actual number of bits set. It's not possible to do better than an

with 4 drives we get a total of 256 possible sets. So algorithm automatically chooses 64 sets, which is *16* 64 = 1024* drives in total.

- *If total number of nodes are of odd number then GCD algorithm provides affinity towards odd number erasure sets to provide for uniform distribution across nodes*. This is to ensure that same number of drives are pariticipating in any erasure set. For example if you have 2 nodes with 180 drives then GCD is 15 but this would lead to uneven distribution,...

			}
		})
	}
}

func getHexSequences(start int, number int, paddinglen int) (seq []string) {
	for i := start; i <= number; i++ {
		if paddinglen == 0 {
			seq = append(seq, fmt.Sprintf("%x", i))
		} else {
			seq = append(seq, fmt.Sprintf(fmt.Sprintf("%%0%dx", paddinglen), i))
		}
	}
	return seq
}

func getSequences(start int, number int, paddinglen int) (seq []string) {

    /**
     * Channel binding is required
     */
    public static final int CHANNEL_BINDING_REQUIRED = 2;

    /**
     * Default maximum number of channels per session
     */
    public static final int DEFAULT_MAX_CHANNELS = 4;

    /**
     * Absolute maximum number of channels supported
     */
    public static final int ABSOLUTE_MAX_CHANNELS = 32;

    /**
     * Network interface capability flag for RSS support

                    entity.put(fessConfig.getIndexFieldId(), newId);
                    entity.remove(fessConfig.getIndexFieldVersion());
                    final Number seqNo = (Number) entity.remove(fessConfig.getIndexFieldSeqNo());
                    final Number primaryTerm = (Number) entity.remove(fessConfig.getIndexFieldPrimaryTerm());
                    if (seqNo != null && primaryTerm != null && oldId != null) {

                                    <div class="form-inline col-sm-9">
                                        <la:errors property="depth"/>
                                        <input type="number" name="depth" id="depth"
                                               value="${f:h(depth)}" class="form-control"
                                               min="0" max="10000">
                                    </div>

        if (o == null) {
            return null;
        } else if (o instanceof Double) {
            return (Double) o;
        } else if (o instanceof Number) {
            return Double.valueOf(((Number) o).doubleValue());
        } else if (o instanceof String) {
            return toDouble((String) o);
        } else if (o instanceof java.util.Date) {
            if (pattern != null) {