*   Android: person detection + tracking demo implementing Scalable Object
    Detection using Deep Neural Networks.
*   New (experimental)
    [Java API](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/java).
*   Add new Android image stylization demo based on "A Learned Representation
    For Artistic Style", and add YOLO object detector support.

## Breaking Changes to the API

- Fix detection of SystemOOMs in which the victim is a container. ([#88871](https://github.com/kubernetes/kubernetes/pull/88871), [@dashpole](https://github.com/dashpole)) [SIG Node]

180B..180D    ; ignored                                # 3.0  MONGOLIAN FREE VARIATION SELECTOR ONE..MONGOLIAN FREE VARIATION SELECTOR THREE
180E          ; disallowed                             # 3.0  MONGOLIAN VOWEL SEPARATOR
180F          ; ignored                                # 14.0 MONGOLIAN FREE VARIATION SELECTOR FOUR
1810..1819    ; valid                                  # 3.0  MONGOLIAN DIGIT ZERO..MONGOLIAN DIGIT NINE

     * comment: Fields used for language detection in the indexer.
     * @return The value of found property. (NotNull: if not found, exception but basically no way)
     */
    String getIndexerLanguageFields();

    /**
     * Get the value for the key 'indexer.language.detect.length'. <br>
     * The value is, e.g. 1000 <br>
     * comment: Length of text for language detection in the indexer.

* 👥 Update FastAPI People. PR [#2454](https://github.com/tiangolo/fastapi/pull/2454) by [@github-actions[bot]](https://github.com/apps/github-actions).

### Translations

* 🌐 Add docs lang selector widget. PR [#2542](https://github.com/tiangolo/fastapi/pull/2542) by [@tiangolo](https://github.com/tiangolo).

254. index := 254 sel, sign := boothW5(s.Rsh(index)) // sign is always zero because the boothW5 input here is at // most two bits long, so the top bit is never set. _ = sign // Neither Select nor Add have exceptions for the point at infinity / // selector zero, so we don't need to check for it here or in the loop. table := new(p256Table).Compute(q) table.Select(p, sel) t := NewP256Point() for index >= 4 { index -= 5 p.Double(p) p.Double(p) p.Double(p) p.Double(p) p.Double(p) if index >= 0 { sel, sign...