phoenix-oss/llama-stack
1
0
Fork 0
forked from phoenix-oss/llama-stack-mirror
Code Pull requests Releases Packages 2 Activity Actions

Fix precommit check after moving to ruff (#927)

Browse source 
Lint check in main branch is failing. This fixes the lint check after we
moved to ruff in https://github.com/meta-llama/llama-stack/pull/921. We
need to move to a `ruff.toml` file as well as fixing and ignoring some
additional checks.

Signed-off-by: Yuan Tang <terrytangyuan@gmail.com>
This commit is contained in:
Yuan Tang 2025-02-02 09:46:45 -05:00 • committed by GitHub
parent 4773092dd1
commit 34ab7a3b6c
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
217 changed files with 981 additions and 2681 deletions
Download patch file Download diff file Expand all files Collapse all files

16
llama_stack/providers/tests/inference/fixtures.py
View file

@ -47,9 +47,7 @@ def inference_remote() -> ProviderFixture:
@pytest.fixture(scope="session")
def inference_meta_reference(inference_model) -> ProviderFixture:
inference_model = (
[inference_model] if isinstance(inference_model, str) else inference_model
)
inference_model = [inference_model] if isinstance(inference_model, str) else inference_model
# If embedding dimension is set, use the 8B model for testing
if os.getenv("EMBEDDING_DIMENSION"):
inference_model = ["meta-llama/Llama-3.1-8B-Instruct"]
@ -88,9 +86,7 @@ def inference_cerebras() -> ProviderFixture:
@pytest.fixture(scope="session")
def inference_ollama(inference_model) -> ProviderFixture:
inference_model = (
[inference_model] if isinstance(inference_model, str) else inference_model
)
inference_model = [inference_model] if isinstance(inference_model, str) else inference_model
if inference_model and "Llama3.1-8B-Instruct" in inference_model:
pytest.skip("Ollama only supports Llama3.2-3B-Instruct for testing")
@ -99,9 +95,7 @@ def inference_ollama(inference_model) -> ProviderFixture:
Provider(
provider_id="ollama",
provider_type="remote::ollama",
config=OllamaImplConfig(
host="localhost", port=os.getenv("OLLAMA_PORT", 11434)
).model_dump(),
config=OllamaImplConfig(host="localhost", port=os.getenv("OLLAMA_PORT", 11434)).model_dump(),
)
],
)
@ -109,9 +103,7 @@ def inference_ollama(inference_model) -> ProviderFixture:
@pytest_asyncio.fixture(scope="session")
def inference_vllm(inference_model) -> ProviderFixture:
inference_model = (
[inference_model] if isinstance(inference_model, str) else inference_model
)
inference_model = [inference_model] if isinstance(inference_model, str) else inference_model
return ProviderFixture(
providers=[
Provider(