}

		if parts[idx].PartNumber != part.Number {
			internalLogIf(ctx, fmt.Errorf("part.%d.meta has incorrect corresponding part number: expected %d, got %d", parts[idx].PartNumber, parts[idx].PartNumber, part.Number))
			return oi, InvalidPart{
				PartNumber: part.Number,
			}
		}

		// Add the current part.

    val mediaType = parse("Message/Partial; number=2; total=3; id=\"oc=******@****.***\"")
    assertEquals("2", mediaType.parameter("number"))
    assertEquals("3", mediaType.parameter("total"))
    assertEquals("oc=******@****.***", mediaType.parameter("id"))
    assertNull(mediaType.parameter("foo"))
  }

  @Test fun testRepeatedParameter() {
    val mediaType = parse("multipart/mixed; number=2; number=3")

     */
    public void setLength(final int length) {
        deferred.length = length;
    }

    /**
     * Advances the buffer index by the specified number of bytes.
     *
     * @param n the number of bytes to advance
     */
    public void advance(final int n) {
        index += n;
        if (index - start > deferred.length) {
            deferred.length = index - start;
        }

      }
      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,...

# Default values for min/max heap memory allocated to fess java process
packaging.fess.heap.min=256m
packaging.fess.heap.max=1g

# Specifies the maximum file descriptor number
packaging.os.max.open.files=65535

# Maximum number of VMA (Virtual Memory Areas) a process can own
packaging.os.max.map.count=262144

# Simple marker to check that properties are correctly overridden
packaging.type=tar.gz

   * into {@code b[off+1]}, and so on. The number of bytes read is, at most, equal to {@code len}.
   *
   * @param in the input stream to read from
   * @param b the buffer into which the data is read
   * @param off an int specifying the offset into the data
   * @param len an int specifying the number of bytes to read
   * @return the number of bytes read
   * @throws IOException if an I/O error occurs

     *            The index of the {@link PropertyDesc}
     * @return {@link PropertyDesc}
     */
    PropertyDesc getPropertyDesc(int index);

    /**
     * Returns the number of {@link PropertyDesc}.
     *
     * @return The number of {@link PropertyDesc}
     */
    int getPropertyDescSize();

    /**
     * Returns an {@link Iterable} of {@link PropertyDesc}.
     *

        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) {

  // Query Operations

  /**
   * Returns the total number of all occurrences of all elements in this multiset.
   *
   * <p><b>Note:</b> this method does not return the number of <i>distinct elements</i> in the
   * multiset, which is given by {@code entrySet().size()}.
   */
  @Override
  int size();

  /**
   * Returns the number of occurrences of an element in this multiset (the <i>count</i> of the