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Currently, HypEx provides a variety of experimental setups, but there is no comprehensive test coverage ensuring that all available parameters in these experiments function correctly. Implementing thorough tests will enhance the stability and reliability of the library.
Feature Description
Develop unit tests for all basic experiments in HypEx.
Ensure that every available parameter in each experiment is tested.
Validate both expected outputs and error handling cases.
Implement parameterized tests to efficiently cover multiple configurations.
Integrate tests into the existing CI pipeline.
Potential Impacts
Increased stability and reliability of HypEx experiments.
Early detection of issues related to parameter configurations.
Improved confidence in experiment results for users.
Alternatives
Manual verification of experiment parameters (inefficient and error-prone).
Relying on user reports instead of proactive testing.
Additional Context
Follow existing test framework and structure in the repository.
Use pytest parameterization for exhaustive testing.
Ensure tests cover both expected and edge cases.
Checklist
Identify all basic experiments in HypEx.
List all available parameters for each experiment.
Implement unit tests covering all configurations.
Integrate tests into CI/CD pipeline.
Review and refine test cases before merging.
The text was updated successfully, but these errors were encountered:
🚀 Feature Proposal
Write Tests for All Basic Experiments in HypEx
Motivation
Currently, HypEx provides a variety of experimental setups, but there is no comprehensive test coverage ensuring that all available parameters in these experiments function correctly. Implementing thorough tests will enhance the stability and reliability of the library.
Feature Description
Potential Impacts
Alternatives
Additional Context
Checklist
The text was updated successfully, but these errors were encountered: