Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Import Jameson Quinn's VSE Sim fork (Sourcery refactored) #44

Open
wants to merge 164 commits into
base: main
Choose a base branch
from

Conversation

sourcery-ai[bot]
Copy link

@sourcery-ai sourcery-ai bot commented Jan 20, 2023

Pull Request #39 refactored by Sourcery.

Since the original Pull Request was opened as a fork in a contributor's
repository, we are unable to create a Pull Request branching from it.

To incorporate these changes, you can either:

  1. Merge this Pull Request instead of the original, or

  2. Ask your contributor to locally incorporate these commits and push them to
    the original Pull Request

    Incorporate changes via command line
    git fetch https://github.com/electionscience/vse-sim pull/39/head
    git merge --ff-only FETCH_HEAD
    git push

NOTE: As code is pushed to the original Pull Request, Sourcery will
re-run and update (force-push) this Pull Request with new refactorings as
necessary. If Sourcery finds no refactorings at any point, this Pull Request
will be closed automatically.

See our documentation here.

Run Sourcery locally

Reduce the feedback loop during development by using the Sourcery editor plugin:

Help us improve this pull request!

homunq and others added 30 commits July 19, 2021 10:45
Added low information strategies and Minimax
Wrote some of threeRoundResults, added a basic but non-rigorous pollsToProbs function, refactored low-information strats, and added a better zero-information approval voting strategy.
Switched to using threeRoundResult. Removed @rememberBallot decorators. Switched from static methods to class methods for strategy functions and results.
Implemented the binary search for determining the minimum foreground to elect the winner under strategy and ensured that all results are returned.
Added comp and diehard strategies for plurality, approval, score, and IRV. (Not yet added for STAR or Condorcet.)
Added diehard and compromise strategies for STAR and Condorcet. Improved the low info strategies for top2 methods. Increased the default polling uncertainty.
created tieFor2Estimate
@sourcery-ai sourcery-ai bot requested a review from fsargent January 20, 2023 20:41
@review-notebook-app
Copy link

Check out this pull request on  ReviewNB

See visual diffs & provide feedback on Jupyter Notebooks.


Powered by ReviewNB

@sourcery-ai
Copy link
Author

sourcery-ai bot commented Jan 20, 2023

Sourcery Code Quality Report

❌  Merging this PR will decrease code quality in the affected files by 9.56%.

Quality metrics Before After Change
Complexity 10.56 🙂 24.70 😞 14.14 👎
Method Length 65.75 🙂 83.51 🙂 17.76 👎
Working memory 7.24 🙂 10.53 😞 3.29 👎
Quality 62.04% 🙂 52.48% 🙂 -9.56% 👎
Other metrics Before After Change
Lines 1915 3175 1260
Changed files Quality Before Quality After Quality Change
dataClasses.py 78.68% ⭐ 77.23% ⭐ -1.45% 👎
methods.py 46.23% 😞 43.21% 😞 -3.02% 👎
mydecorators.py 78.84% ⭐ 79.97% ⭐ 1.13% 👍
stratFunctions.py 83.12% ⭐ 90.12% ⭐ 7.00% 👍
voterModels.py 74.14% 🙂 75.00% 🙂 0.86% 👍
vse.py 59.95% 🙂 25.87% 😞 -34.08% 👎

Here are some functions in these files that still need a tune-up:

File Function Complexity Length Working Memory Quality Recommendation
methods.py V321.stratBallotFor 52 ⛔ 469 ⛔ 5.23% ⛔ Refactor to reduce nesting. Try splitting into smaller methods
vse.py threeRoundResults 39 ⛔ 1126 ⛔ 34 ⛔ 6.32% ⛔ Refactor to reduce nesting. Try splitting into smaller methods. Extract out complex expressions
methods.py makeSTARMethod 157 ⛔ 1284 ⛔ 16 ⛔ 7.41% ⛔ Refactor to reduce nesting. Try splitting into smaller methods. Extract out complex expressions
methods.py makeScoreMethod 54 ⛔ 876 ⛔ 15 😞 11.05% ⛔ Refactor to reduce nesting. Try splitting into smaller methods. Extract out complex expressions
methods.py V321.results 11 🙂 342 ⛔ 16 ⛔ 32.45% 😞 Try splitting into smaller methods. Extract out complex expressions

Legend and Explanation

The emojis denote the absolute quality of the code:

  • ⭐ excellent
  • 🙂 good
  • 😞 poor
  • ⛔ very poor

The 👍 and 👎 indicate whether the quality has improved or gotten worse with this pull request.


Please see our documentation here for details on how these metrics are calculated.

We are actively working on this report - lots more documentation and extra metrics to come!

Help us improve this quality report!

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

Successfully merging this pull request may close these issues.

2 participants