*   Raw TensorFlow functions can now be used in conjunction with the Keras
        Functional API during model creation. This obviates the need for users
        to create Lambda layers in most cases when using the Functional API.
        Like Lambda layers, TensorFlow functions that result in Variable
        creation or assign ops are not supported.
    *   Add support for passing list of lists to the `metrics` argument in Keras

- Fixed a bug in the TopologyManager. Previously, the TopologyManager would only guarantee alignment if container creation was serialized in some way. Alignment is now guaranteed under all scenarios of container creation. ([#87759](https://github.com/kubernetes/kubernetes/pull/87759), [@klueska](https://github.com/klueska)) [SIG Node]

     */
    String getIndexFieldBoost();

    /**
     * Get the value for the key 'index.field.created'. <br>
     * The value is, e.g. created <br>
     * comment: Field name for creation date in the index.
     * @return The value of found property. (NotNull: if not found, exception but basically no way)
     */
    String getIndexFieldCreated();

    /**

* Make Travis run Ubuntu Xenial (newer version) and Python 3.7 instead of Python 3.7-dev. PR [#92](https://github.com/tiangolo/fastapi/pull/92) by [@blueyed](https://github.com/blueyed).

* Fix duplicated param variable creation. PR [#123](https://github.com/tiangolo/fastapi/pull/123) by [@yihuang](https://github.com/yihuang).

4DB6..4DBF    ; valid                                  # 13.0 CJK UNIFIED IDEOGRAPH-4DB6..CJK UNIFIED IDEOGRAPH-4DBF
4DC0..4DFF    ; valid                  ;      ; NV8    # 4.0  HEXAGRAM FOR THE CREATIVE HEAVEN..HEXAGRAM FOR BEFORE COMPLETION
4E00..9FA5    ; valid                                  # 1.1  CJK UNIFIED IDEOGRAPH-4E00..CJK UNIFIED IDEOGRAPH-9FA5

0, Q, ..., 8Q v.points[0].FromP3(q) tmpP3 := Point{} tmpP1xP1 := projP1xP1{} for i := 0; i < 7; i++ { // Compute (i+1)*Q as Q + i*Q and convert to a projCached // This is needlessly complicated because the API has explicit // receivers instead of creating stack objects and relying on RVO v.points[i+1].FromP3(tmpP3.fromP1xP1(tmpP1xP1.Add(q, &v.points[i]))) } } // This is not optimised for speed; fixed-base tables should be precomputed. func (v *affineLookupTable) FromP3(q *Point) { // Goal: v.points[i]...

0, Q, ..., 8Q v.points[0].FromP3(q) tmpP3 := Point{} tmpP1xP1 := projP1xP1{} for i := 0; i < 7; i++ { // Compute (i+1)*Q as Q + i*Q and convert to a projCached // This is needlessly complicated because the API has explicit // receivers instead of creating stack objects and relying on RVO v.points[i+1].FromP3(tmpP3.fromP1xP1(tmpP1xP1.Add(q, &v.points[i]))) } } // This is not optimised for speed; fixed-base tables should be precomputed. func (v *affineLookupTable) FromP3(q *Point) { // Goal: v.points[i]...