zou-group / textgrad

Automatic ''Differentiation'' via Text -- using large language models to backpropagate textual gradients.
http://textgrad.com/
MIT License
944 stars 67 forks source link

Refactor and improve the code for textgrad testing #21

Closed sanowl closed 1 week ago

sanowl commented 1 week ago

Description

This pull request refactors and improves the testing code for the textgrad library. The following changes have been made:

Changes

  1. Grouped and ordered imports logically.
  2. Clear and concise definitions for DummyEngine and IdempotentEngine.
  3. Simplified and clarified test function descriptions and assertions.
  4. Added comments to explain the purpose of each class and test function.
  5. Improved readability and maintainability of the code.
  6. Adhered to common Python coding standards.

Testing

All existing tests have been refactored and verified to ensure they pass successfully. No new tests were added.

Additional Notes

This refactoring does not introduce any new functionality. It is aimed at improving the code quality and maintainability.