Release/v1.8

[teubert]

Release branch for ProgPy v1.8

Tentative release notes, will flush out soon:

• New model: Simplified Battery model
• Discrete States
• Support for Python3.13
• Various bug fixes and efficiency improvements

[lymichelle21]

ProgPy tests all ran successfully on my device (Apple Silicon Mac) - will update once manual tests are complete

[codecov-commenter]

Codecov Report

All modified and coverable lines are covered by tests :white_check_mark:

Project coverage is 83.70%. Comparing base (a88f3b9) to head (c2d92c2). Report is 162 commits behind head on master.

Additional details and impacted files

@@            Coverage Diff             @@
##           master     #221      +/-   ##
==========================================
+ Coverage   83.15%   83.70%   +0.54%     
==========================================
  Files         100      103       +3     
  Lines       10316    10964     +648     
==========================================
+ Hits         8578     9177     +599     
- Misses       1738     1787      +49     

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[teubert]

Passed release review on 5/14.

Approved pending action items by Jason, Chetan, Adam, Michelle, Katy, Portia, Chris

[teubert]

Action items from release review:

• [ ] Investigate increase in lines of code [CT]
• [x] Add discrete state to new model notebook [ML]
• [ ] Add discrete state to documentation [CT]
  • [ ] file:///Users/cteubert/dev/progpy/docs/prog_models_guide.html#states
  • [ ] Discrete discretemodel and discretestate to glossary
  • [ ] Note about difference between discrete*
  • [ ] Add discrete state to API Reference
• [x] Release notes (Release page in sphinx_config and on release branch)- date to phm tutorial - reference paper, link to tutorial [ML]
• [ ] Chetan: Tutorial link broken? [CK]
• [x] Included models page is broken [ML]
• [x] Check there is an issue for improving the battery tests [ML]
• [x] Release notes - python3.13 with data-driven [KG]
• [x] release notes progpy, prog_server- no longer support versions 3.7, 8… [KG]
• [x] Remove mention of threshold_met in doccomment at top of simulate_to_threshold [ML]
• [x] prog_server - complete v1.7 [CT]
• [ ] Data-tools support for Intel macs Worst-case: data-tools won’t work on intel mac 2 options: 1. PyTorch [CT] 2. Dependency Hack