ÑJ©€SizeÑJ©¥MTimeÓ ¹ô O/>§MetaSys Œx-minio-internal-inline-dataÄ true§MetaUsr ¬content-type­text/markdown€etagÙ 4af243ccccbadaf12545¡vÎeçnÐÎÓ° , €nullÅ%u&vÎ e ( [ ðK Ô X· Øü *š ÂWåion. Certain features such as versioning, object locking, and bucket replication require distributed deploying MinIO with Erasure Coding. For extended development and production, deploy MinIO with Erasure Coding enabled - specifically, with a *minimum* of 4 drives per MinIO server. See [MinIO Erasure Code Overview](https://min.io/doc...

    assertThat(IDNA_MAPPING_TABLE.mappings).isEqualTo(compactTable.mappings)
  }

  private fun String.map(): String {
    val buffer = Buffer()
    for (codePoint in codePoints()) {
      require(table.map(codePoint, buffer))
    }
    return buffer.readUtf8()
  }

  private fun String.mapExpectingErrors(): String {
    val buffer = Buffer()
    var errorCount = 0

		if err != nil {
			err = msgp.WrapError(err, zb0003)
			return
		}
	}
	return
}

// MarshalMsg implements msgp.Marshaler
func (z BatchJobPrefix) MarshalMsg(b []byte) (o []byte, err error) {
	o = msgp.Require(b, z.Msgsize())
	o = msgp.AppendArrayHeader(o, uint32(len(z)))
	for zb0003 := range z {
		o = msgp.AppendString(o, z[zb0003])
	}
	return
}

// UnmarshalMsg implements msgp.Unmarshaler

and can heal 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/m...

        when {
          it.sourceCodePoint1 < codePoint -> -1
          it.sourceCodePoint0 > codePoint -> 1
          else -> 0
        }
      }

    // Code points must be in 0..0x10ffff.
    require(index in mappings.indices) { "unexpected code point: $codePoint" }

    val mapping = mappings[index]
    var result = true

    when (mapping.type) {
      TYPE_IGNORED -> Unit

 *  @author Victor Jonsson, http://victorjonsson.se
 *  @license MIT
 */

---

Common examples of CPU bound operations are things that require complex math processing.

For example:

* **Audio** or **image processing**.

   *
   * @deprecated Use {@code table.rowKeySet().comparator()} instead.
   */
  @Deprecated
  public Comparator<? super R> rowComparator() {
    /*
     * requireNonNull is safe because the factories require non-null Comparators, which they pass on
     * to the backing collections.
     */
    return requireNonNull(rowKeySet().comparator());
  }

  /**

# Download glibc's shared and development libraries based on the value of the
# `VERSION` parameter.
# Note: 'Templatizing' this and the other conditional branches would require
# defining several variables (version, os, path) making it difficult to maintain
# and extend for future modifications.
mkdir -p glibc-src
mkdir -p glibc-build
cd glibc-src

They tend to require more complex configurations, a message/job queue manager, like RabbitMQ or Redis, but they allow you to run background tasks in multiple processes, and especially, in multiple servers.