Added support for smooth loss functions to RoAAwareDecreaseCondition

[nicholaskl97]

Checklist

• Appropriate tests were added
• Any code changes were done in a way that does not break public API
• All documentation related to code changes were updated
• The new code follows the
  contributor guidelines, in particular the SciML Style Guide and
  COLPRAC.
• Any new documentation only uses public API

Additional context

Previously, RoAAwareDecreaseCondition had an inequality being used to detect if the in-RoA or out-of-RoA loss should be applied. This PR replaces that inequality with a function which can be a smooth approximation of the inequality.

Additionally, this PR adds tests for fallback functions for AbstractLyapunovMinimizationCondition and AbstractLyapunovDecreaseCondition methods to improve code coverage.

[nicholaskl97]

@ChrisRackauckas, I noticed that the Codecov number on the home page didn't change after I merged this PR (it should have gone up and should have been higher to start). It looks like the Codecov GitHub app has been suspended for this repository. Do you know why? The GitHub apps settings page says that I don't have sufficient access to configure its installation.

[ChrisRackauckas]

We had to suspend codecov for the whole org due to some issues with ssh keys. We're looking for another service that won't have the issue.

[nicholaskl97]

We had to suspend codecov for the whole org due to some issues with ssh keys. We're looking for another service that won't have the issue.

Alright. I thought it was something wrong with how I set something up, so glad to hear it's not that.