Implement a Python test harness
Overview
This question evaluates proficiency in designing a Python-based test harness for graphics validation, including fixtures, parametrization, dependency injection, logging, retries, resource cleanup, framework trade-offs (unittest vs pytest), and concurrency strategies such as generators, context managers, type hints, asyncio, and multiprocessing for orchestrating tests across GPUs. It is commonly asked to assess engineering judgment in building robust, performant test infrastructure that manages resources and avoids GIL-related bottlenecks, and it falls under the Data Manipulation (SQL/Python) domain, testing both conceptual design and practical implementation skills.
Implement a Python-based test harness for graphics validation. Discuss design of fixtures, parametrization, dependency injection, logging, retries, and resource cleanup. Contrast unittest vs pytest. Show how you would use generators, context managers, type hints, and asyncio/multiprocessing to orchestrate tests across GPUs while avoiding GIL bottlenecks.