# Description

Currently, `update_class_from_dict()` does not allow updating the
configclass Iterable elements with Hydra, when the provided Iterable
length differs from the default value. Such a feature is nevertheless
needed when changing the network layer depth on the go, e.g., while
using learning libraries that utilize configclass (see #2456 for
details).

This PR modifies `update_class_from_dict()` such that if an element is a
flat Iterable (e.g., flat list), it is replaced wholesale, without
checking the lengths. Moreover, the PR modifies the robustness of the
function against a few edge cases that might break the execution, and
adds comments to make it easier to follow the logic flow.

Note: I left the changelog entry as `[Unreleased]` until a green light
is given.

Fixes #2456.

## Type of change

- Bug fix (non-breaking change which fixes an issue)

## Checklist

- [x] I have run the [`pre-commit` checks](https://pre-commit.com/) with
`./isaaclab.sh --format`
- [ ] I have made corresponding changes to the documentation
- [ ] My changes generate no new warnings
- [ ] I have added tests that prove my fix is effective or that my
feature works
- [x] I have updated the changelog and the corresponding version in the
extension's `config/extension.toml` file
- [x] I have added my name to the `CONTRIBUTORS.md` or my name already
exists there

---------
Signed-off-by: Kelly Guo <kellyg@nvidia.com>
Signed-off-by: Kelly Guo <kellyguo123@hotmail.com>
Co-authored-by: Kelly Guo <kellyg@nvidia.com>
Co-authored-by: Kelly Guo <kellyguo123@hotmail.com>