handle outputs that depend directly on inputs in linearize
#2216
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AI-Maintainer Review for PR - Handle outputs that depend directly on inputs in linearize
Title and Description 👍
The Title and description are clear and concise
The title of the pull request, "handle outputs that depend directly on inputs in linearize," provides a concise summary of the purpose of the changes. The description, "closes #2215," is a reference to an issue number, indicating that this pull request is intended to address and close issue #2215. While it doesn't provide detailed information about the changes, it serves as a useful reference to track the context of the pull request.
Scope of Changes 👍
The changes are narrowly focused
The changes are narrowly focused on addressing a specific issue related to handling outputs that depend directly on inputs in the linearize function. The diff only shows modifications to the markio! function in abstractsystem.jl and the test cases in linearize.jl. There are no indications of the author trying to resolve multiple issues simultaneously.
Testing ⚠️
Testing details are missing
The description does not provide any information about how the author tested the changes. It would be beneficial for the author to include information about the testing methodology, such as the specific test cases used, the environment in which the tests were conducted, and any relevant test results or observations. This would provide reviewers with more confidence in the correctness and effectiveness of the changes.
Code Changes 👍
The code changes are appropriate
The changes in the code are appropriate for the issue at hand. The modification in the markio! function in abstractsystem.jl seems to correctly handle the case where a variable is both an input and an output. The added test cases in linearize.jl also seem to cover this new case.
Suggested Changes
Please provide more details about how you tested these changes. This could include the specific test cases you used, the environment in which the tests were conducted, and any relevant test results or observations. This will help reviewers better understand the impact of your changes and have more confidence in their correctness and effectiveness.
Reviewed with AI Maintainer
closes #2215