Use lowest order differentiated variables to improve state selection #212
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Note that we can infer `D(x) = D(y)` from `x = y`, but we cannot infer `x = y` from `D(x) = D(y)`, so using the lowest variable in the connector provides more information to the compiler.
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AI-Maintainer Review for PR - Use lowest order differentiated variables to improve state selection
Title and Description 👍
The title and description are clear and concise
The title and description of the pull request are clear and concise. They effectively communicate the purpose of the changes, which is to improve state selection by using the lowest order differentiated variables. However, it would be beneficial to provide more context and specific examples to better understand the motivation behind the changes.
Scope of Changes 👍
The changes are narrowly focused
The changes are narrowly focused on a specific issue. The changes mainly involve importing a different module (TranslationalPosition instead of Translational) and modifying the component definitions in the MultiBody2D module. These changes seem to be aimed at improving state selection by using the lowest order differentiated variables.
Testing 👎
Testing details are missing
The description does not mention how the author tested the changes. It would be beneficial for the author to provide information about the testing approach they used to ensure the correctness and effectiveness of the changes. This could include details about any unit tests, integration tests, or specific scenarios that were used to validate the modifications.
Documentation 👎
Docstrings are missing for some entities
Based on the provided diff, the following functions, classes, or methods do not have docstrings:
MultiBody2DmoduleForcemodel
It is recommended to add docstrings to these entities to describe their behavior, arguments, and return values.
Recommended Changes
- Please add docstrings to the
MultiBody2Dmodule andForcemodel to describe their behavior, arguments, and return values. - Please provide information about how you tested the changes. This could include details about any unit tests, integration tests, or specific scenarios that were used to validate the modifications.
Reviewed with AI Maintainer
Codecov Report
@@ Coverage Diff @@
## main #212 +/- ##
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- Coverage 55.30% 55.00% -0.31%
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Files 48 48
Lines 1611 1620 +9
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Hits 891 891
- Misses 720 729 +9
... and 1 file with indirect coverage changes 📣 We’re building smart automated test selection to slash your CI/CD build times. Learn more |
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I will update MTK test once this PR is merged. |
Note that we can infer
D(x) = D(y)fromx = y, but we cannot inferx = yfromD(x) = D(y), so using the lowest variable in the connector provides more information to the compiler.