v1.11.0

This release adds support for stratifying and abstracting AMR pertinent models. The test cases in test/test_abstraction.py illustrate how to configure the stratification and abstraction operators. All abstracted models must be bounded using the model's formulate_bounds() method, which will create a transformation of the model that bounds all variables with upper and lower bounds.

Other improvements include:

• Adding support for timepoints that are floating point numbers (in addition to the previously supported int timepoints)
• Fixes a bug in the output contracted models where boxes for all timepoints were being used. Now it uses the last timepoint only.
• An additional GItHub action to prune old docker images.

What's Changed

• add support for reserved characters in models by @danbryce in #52
• v1.11.0 by @danbryce in #54

Full Changelog: v1.10.0...v1.11.0