How do you solve the problem of supporting a large number of tests?

To support a large number of tests, it is important to organize them so that they are fast, reliable, and easy to maintain. Here are some approaches:

• Parallel execution: run tests in parallel to reduce overall runtime.
• Level separation: distinguish between fast unit tests, integration tests, and end-to-end tests, so as not to run everything unnecessarily.
• Prioritization and filtering: run critical tests more frequently, and less important ones less often.
• Modularity and reuse: write tests to minimize code duplication.
• Automation of launch and reporting: use CI/CD for automatic execution and analysis of results.
• Regular refactoring of tests: remove outdated and irrelevant tests to keep the base current.

Example of using pytest with parallel execution:

pytest -n auto

This will automatically distribute tests across available CPU cores.