llama-stack/llama_stack/providers/remote/inference/nvidia
Sébastien Han 6fa257b475
chore(lint): update Ruff ignores for project conventions and maintainability (#1184)
- Added new ignores from flake8-bugbear (`B007`, `B008`)
- Ignored `C901` (high function complexity) for now, pending review
- Maintained PyTorch conventions (`N812`, `N817`)
- Allowed `E731` (lambda assignments) for flexibility
- Consolidated existing ignores (`E402`, `E501`, `F405`, `C408`, `N812`)
- Documented rationale for each ignored rule

This keeps our linting aligned with project needs while tracking
potential fixes.

Signed-off-by: Sébastien Han <seb@redhat.com>

Signed-off-by: Sébastien Han <seb@redhat.com>
2025-02-28 09:36:49 -08:00
..
__init__.py add NVIDIA NIM inference adapter (#355) 2024-11-23 15:59:00 -08:00
config.py chore: move all Llama Stack types from llama-models to llama-stack (#1098) 2025-02-14 09:10:59 -08:00
models.py fix: register provider model name and HF alias in run.yaml (#1304) 2025-02-27 16:39:23 -08:00
nvidia.py chore(lint): update Ruff ignores for project conventions and maintainability (#1184) 2025-02-28 09:36:49 -08:00
openai_utils.py chore(lint): update Ruff ignores for project conventions and maintainability (#1184) 2025-02-28 09:36:49 -08:00
utils.py style: remove prints in codebase (#1146) 2025-02-18 19:41:37 -08:00