(llm_root: Path, resource_path: Path, results_data_path: Path)
| 29 | |
| 30 | @pytest.fixture |
| 31 | def model_files(llm_root: Path, resource_path: Path, results_data_path: Path): |
| 32 | # Model engines and expected outputs need to be generated. |
| 33 | if not results_data_path.exists(): |
| 34 | model_cache = llm_models_root() |
| 35 | model_cache_arg = ["--model_cache", str(model_cache) |
| 36 | ] if model_cache is not None else [] |
| 37 | prepare_model_tests(llm_root, resource_path, "gpt", model_cache_arg) |
| 38 | |
| 39 | |
| 40 | @pytest.fixture |
nothing calls this directly
no test coverage detected