Worked on improving the stability of the paddlepaddle/paddleocr training pipeline by addressing a critical runtime issue in Python. Focused on error handling and algorithm optimization, the developer implemented a safeguard against ZeroDivisionError in training time calculations by ensuring that total_time is greater than zero before performing division. This defensive programming approach prevented potential crashes during long-running OCR model training sessions, enhancing reliability and reducing downtime risks in both CI and production environments. The solution demonstrated careful attention to edge cases in numerical computations and contributed to more robust data processing workflows within the repository, emphasizing code safety and maintainability.