### Expanded CLI support for debugging workloads and nodes

SIG CLI expanded on debugging with `kubectl` to support two new debugging workflows: debugging workloads by creating a copy, and debugging nodes by creating a container in host namespaces. These can be convenient to:
 - Insert a debug container in clusters that don’t have ephemeral containers enabled 

        CPU/memory usage.
    *   Added
        [`tf.data.experimental.from_list`](https://www.tensorflow.org/api_docs/python/tf/data/experimental/from_list),
        a new API for creating `Dataset`s from lists of elements.
    *   Graduated experimental APIs:
        *   [`tf.data.Dataset.counter`](https://www.tensorflow.org/api_docs/python/tf/data/Dataset/#counter),

* 📝 Update docs for `ORJSONResponse` with details about improving performance. PR [#2615](https://github.com/tiangolo/fastapi/pull/2615) by [@falkben](https://github.com/falkben).
* 📝 Add docs for creating a custom Response class. PR [#5331](https://github.com/tiangolo/fastapi/pull/5331) by [@tiangolo](https://github.com/tiangolo).

1F972         ; valid                  ;      ; NV8    # 13.0 SMILING FACE WITH TEAR
1F973..1F976  ; valid                  ;      ; NV8    # 11.0 FACE WITH PARTY HORN AND PARTY HAT..FREEZING FACE
1F977..1F978  ; valid                  ;      ; NV8    # 13.0 NINJA..DISGUISED FACE
1F979         ; valid                  ;      ; NV8    # 14.0 FACE HOLDING BACK TEARS

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]...