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I wrote the Validator class. In the project, the presented code is located at the path ".../validator/init.py". It is needed for testing code in different virtual Conda environments, in the virtual environments PyTorch with the necessary versions are prepared in advance. The code works properly. But I want to improve its reliability, readability, extensibility.

In the logger settings, it is specified that the debug level is saved to a file. The Info level is output to the console.

I wrote the Validator class. In the project, the presented code is located at the path ".../validator/init.py". It is needed for testing code in different virtual Conda environments, in the virtual environments PyTorch with the necessary versions are prepared in advance. The code works properly. But, I want to improve its reliability, readability and extensibility.

In the logger settings, it is specified that the debug level is saved to a file. The info level is output to the console.

Hi! I wrote the Validator class. (In the project, the presented code is located at the path ".../validator/init.py") It is needed for testing code in different virtual Conda environments, in the virtual environments PyTorch with the necessary versions are prepared in advance. The code works properly. But I want to improve its reliability, readability, extensibility.

The results of the function run_test_old_and_new_code I will apply for calculations of RAG efficiency. At the moment, the metric is not complicated. Code works - True, does not work - False. I create temporary files for executing the code and run them using subprocess.run(). Also, I added logging.

Thank you for the help!! Ready to answer clarifying questions.

Upd:

I wrote the Validator class. In the project, the presented code is located at the path ".../validator/init.py". It is needed for testing code in different virtual Conda environments, in the virtual environments PyTorch with the necessary versions are prepared in advance. The code works properly. But I want to improve its reliability, readability, extensibility.

The results of the function run_test_old_and_new_code I will apply for calculations of RAG efficiency. At the moment, the metric is not complicated. Code works - True, does not work - False. I create temporary files for executing the code and run them using subprocess.run(). Also, I added logging.

Upd:

In the logger settings, it is specified that the debug level is saved to a file. The Info level is output to the console.