[Draft] 349 feat simulated annealing#380
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- Working commit - Introduces new base classes, and simulated annealing itself - Temporary tester file
- Created a re-usable ObjectiveTerm function which takes in at least an input frame and computes a float from it - Used these reusable objectives and weights in the SimulatedAnnealing class to compute the objective
- Adds a class for generic constraints, which can be computed to check validity based on an input frame and player id - Implemented a specific constraint for simulated annealing that ensures the player is within a TimeToIntercept radius, i.e. the perturbation from simulated annealing is such that the player could get there within X seconds.
- Makes a minor addition of an alpha parameter to visualize.py also
- Move optimization objects into separate classes - Add logging properly instead of print statements - Formatting
Creates a wrapper function around the Algorithm.run() method that can easily be extended to hot swap optimization algorithms
Codecov Report✅ All modified and coverable lines are covered by tests. Additional details and impacted files@@ Coverage Diff @@
## develop #380 +/- ##
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+ Coverage 99.22% 99.28% +0.05%
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Files 49 67 +18
Lines 3736 5441 +1705
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+ Hits 3707 5402 +1695
- Misses 29 39 +10 ☔ View full report in Codecov by Sentry. 🚀 New features to boost your workflow:
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- Previously I was trying to save compute by only passing in what is necessary - It's much cleaner to use if all the constraints and objectives just take in game, frame and some optional extra arguments. - I will revisit this if we want to make the pre-made objectives a bit more flexible
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[Draft] Introduces the simulated annealing project as outlined here #349
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