*   Add `show_trainable` option to `tf.keras.utils.model_to_dot` to display layer trainable status in model plots.
 *   Add ability to save a `tf.keras.utils.FeatureSpace` object, via `feature_space.save("myfeaturespace.keras")`, and reload it via `feature_space = tf.keras.models.load_model("myfeaturespace.keras")`.
*   Added utility `tf.keras.utils.to_ordinal` to convert class vector to ordinal regression / classification matrix.

* ♻ Change a `dict()` for `{}` in `fastapi/utils.py`. PR [#3138](https://github.com/tiangolo/fastapi/pull/3138) by [@ShahriyarR](https://github.com/ShahriyarR).
* ♻ Move internal variable for errors in `jsonable_encoder` to put related code closer. PR [#4560](https://github.com/tiangolo/fastapi/pull/4560) by [@GuilleQP](https://github.com/GuilleQP).

  - build: Use go-runner:buster-v2.0.1 (built using go1.15.1)
  - bazel: Replace --features with Starlark build settings flag
  - hack/lib/util.sh: some bash cleanups
    
    - switched one spot to use kube::logging
    - make kube::util::find-binary return an error when it doesn't find
      anything so that hack scripts fail fast instead of with '' binary not
      found errors.

.my#{$infix}-n#{$size} {\n          margin-bottom: -$length !important;\n        }\n        .ml#{$infix}-n#{$size},\n        .mx#{$infix}-n#{$size} {\n          margin-left: -$length !important;\n        }\n      }\n    }\n\n    // Some special margin utils\n    .m#{$infix}-auto { margin: auto !important; }\n    .mt#{$infix}-auto,\n    .my#{$infix}-auto {\n      margin-top: auto !important;\n    }\n    .mr#{$infix}-auto,\n    .mx#{$infix}-auto {\n      margin-right: auto !important;\n    }\n    .mb#{$infix}-auto,\n...