return classMetaData.incubating
    }

    boolean isReplaced() {
        return classMetaData.replaced
    }

    @Override
    String getReplacement() {
        return classMetaData.replacement
    }

    Collection<PropertyDoc> getClassProperties() { return classProperties }

    void addClassProperty(PropertyDoc propertyDoc) {
        classProperties.add(propertyDoc.forClass(this))
    }

 * API</h2>
 *
 * <p>The successor to Guava's caching API is <a
 * href="https://github.com/ben-manes/caffeine/wiki">Caffeine</a>. Its API is designed to make it a
 * nearly drop-in replacement. Note that it is not available for Android or GWT/J2CL and that it may
 * have <a href="https://github.com/ben-manes/caffeine/wiki/Guava">different (usually better)

                it.remove();
            }
        }
    }

    /**
     * Replace all occurances of the given type
     *
     * @param pairs the list of AV pairs to modify
     * @param rep the replacement AV pair
     */
    public static void replace(final List<AvPair> pairs, final AvPair rep) {
        remove(pairs, rep.getType());
        pairs.add(rep);
    }

    /**

one object at a time. For RAID, healing can be done only at the volume level which translates into high downtime. As MinIO encodes each object individually, it can heal objects incrementally. Storage servers once deployed should not require drive replacement or healing for the lifetime of the server. MinIO's erasure coded backend is designed for operational efficiency and takes full advantage of hardware acceleration whenever available.

![Erasure](https://github.com/minio/minio/blob/master...

        var delta = entry.hpackSize
        if (index != -1) { // Index -1 == new header.
          delta -= dynamicTable[dynamicTableIndex(index)]!!.hpackSize
        }

        // if the new or replacement header is too big, drop all entries.
        if (delta > maxDynamicTableByteCount) {
          clearDynamicTable()
          return
        }

        // Evict headers to the required length.

			comment: "in the 世界",
			flags:   0x808,
		},
		{
			name:    "hi, こんにちわ",
			comment: "in the 世界",
			flags:   0x808,
		},
		{
			name:    "the replacement rune is �",
			comment: "the replacement rune is �",
			flags:   0x808,
		},
		{
			// Name is Japanese encoded in Shift JIS.
			name:    "\x93\xfa\x96{\x8c\xea.txt",
			comment: "in the 世界",

        return interpolate(model, context, true);
    }

    /**
     * Serialize the inbound Model instance to a StringWriter, perform the regex replacement to resolve
     * POM expressions, then re-parse into the resolved Model instance.
     * <p>
     * <b>NOTE:</b> This will result in a different instance of Model being returned!!!
     *

                channel.getTransport().close();
            }
        } catch (Exception e) {
            log.debug("Error disconnecting removed channel", e);
        }
    }

    /**
     * Establish a replacement channel
     */
    public void establishReplacementChannel() {
        if (!multiChannelEnabled)
            return;

        try {
            int currentChannels = channels.size();

  /**
   * Returns a hash code for {@code value}; obsolete alternative to {@link Float#hashCode(float)}.
   *
   * @param value a primitive {@code float} value
   * @return a hash code for the value
   */
  @InlineMe(replacement = "Float.hashCode(value)")
  public static int hashCode(float value) {
    return Float.hashCode(value);
  }

  /**
   * Compares the two specified {@code float} values using {@link Float#compare(float, float)}. You

            result.setProcessType(DfTypeUtil.toString(source.get("processType")));
            result.setRegex(DfTypeUtil.toString(source.get("regex")));
            result.setReplacement(DfTypeUtil.toString(source.get("replacement")));
            result.setSortOrder(DfTypeUtil.toInteger(source.get("sortOrder")));
            result.setUpdatedBy(DfTypeUtil.toString(source.get("updatedBy")));