"application/x-tika-staroffice",
				"application/x-uc2-compressed",
				"application/x-ustar",
				"application/x-vmdk",
				"application/x-wais-source",
				"application/x-webarchive",
				"application/x-x509-ca-cert",
				"application/x-xfig",
				"application/x-xpinstall",
				"application/x-xmind",
				"application/x-xz",
				"application/x-zoo",
				"application/x400-bp",

  </mime-type>

  <mime-type type="application/x-wais-source">
    <glob pattern="*.src"/>
  </mime-type>
  <mime-type type="application/x-webarchive">
    <sub-class-of type="application/x-bplist"/>
    <glob pattern="*.webarchive"/>
  </mime-type>

  <mime-type type="application/x-x509-cert">
    <alias type="application/x-x509-ca-cert"/>
    <alias type="application/x-x509-user-cert"/>

	prefixSize = 155 // Max length of the prefix field in USTAR format

	// Max length of a special file (PAX header, GNU long name or link).
	// This matches the limit used by libarchive.
	maxSpecialFileSize = 1 << 20
)

// blockPadding computes the number of bytes needed to pad offset up to the
// nearest block edge where 0 <= n < blockSize.
func blockPadding(offset int64) (n int64) {

* kubectl apply: retry applying a patch if a version conflict error is encountered ([#26557](https://github.com/kubernetes/kubernetes/pull/26557), [@AdoHe](https://github.com/AdoHe))
* Revert "Wait for arc.getArchive() to complete before running tests" ([#27130](https://github.com/kubernetes/kubernetes/pull/27130), [@pwittrock](https://github.com/pwittrock))

          <code>
            <![CDATA[
    /**
     * @see java.lang.Object#toString()
     */
    public String toString()
    {
        return "MailingList {name=" + getName() + ", archive=" + getArchive() + "}";
    }
            ]]>
          </code>
        </codeSegment>
      </codeSegments>
    </class>
    <class>
      <name>Organization</name>

    *   Added `bucket_by_sequence_length`, `sliding_window_batch`, and
        `make_batched_features_dataset`
    *   Remove unmaintained `tf.contrib.ndlstm`. You can find it externally at
        https://github.com/tmbarchive/tfndlstm.
    *   Moved most of `tf.contrib.bayesflow` to its own repo: `tfp`
*   Other:
    *   tf.py_func now reports the full stack trace if an exception occurs.