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>
This commit is contained in:
Sébastien Han 2025-02-28 18:36:49 +01:00 committed by GitHub
parent 3b57d8ee88
commit 6fa257b475
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33 changed files with 113 additions and 145 deletions

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@ -176,7 +176,7 @@ def test_embedding_truncation_error(
):
if inference_provider_type not in SUPPORTED_PROVIDERS:
pytest.xfail(f"{inference_provider_type} doesn't support embedding model yet")
with pytest.raises(BadRequestError) as excinfo:
with pytest.raises(BadRequestError):
llama_stack_client.inference.embeddings(
model_id=embedding_model_id, contents=[DUMMY_LONG_TEXT], text_truncation=text_truncation
)
@ -243,7 +243,7 @@ def test_embedding_text_truncation_error(
):
if inference_provider_type not in SUPPORTED_PROVIDERS:
pytest.xfail(f"{inference_provider_type} doesn't support embedding model yet")
with pytest.raises(BadRequestError) as excinfo:
with pytest.raises(BadRequestError):
llama_stack_client.inference.embeddings(
model_id=embedding_model_id, contents=[DUMMY_STRING], text_truncation=text_truncation
)