# Description

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Add unit test for training and evaluating environments across all
workflows using an input config.

The config determines which environments to train, how long to train,
and training KPI thresholds.

Every training + evaluation is one pytest, which fails if any of the
thresholds aren't met.

A KPI json can be created to summarize the trainings. This json also
functions as a KPI payload which will be uploaded to a Grafana Dashboard
every week using OSMO CI, using the full mode in the config. Can be used
to track improvements and regressions.

Dashboard -
[LINK](https://grafana.nvidia.com/d/cejwy2w46gtmob/24b94e54-6b8b-50a4-969a-121dc573a34c?orgId=105)

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## Type of change

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- Bug fix (non-breaking change which fixes an issue)
- New feature (non-breaking change which adds functionality)
- Breaking change (fix or feature that would cause existing
functionality to not work as expected)
- This change requires a documentation update

## Screenshots

Please attach before and after screenshots of the change if applicable.

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## 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
- [ ] I have updated the changelog and the corresponding version in the
extension's `config/extension.toml` file
- [ ] I have added my name to the `CONTRIBUTORS.md` or my name already
exists there

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