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[Lint]Style: Convert test/ to ruff format(Batch #5) (#6747)

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### What this PR does / why we need it?
| File Path |
| :--- |
| `tests/e2e/singlecard/compile/backend.py` |
| `tests/e2e/singlecard/compile/test_graphex_norm_quant_fusion.py` |
| `tests/e2e/singlecard/compile/test_graphex_qknorm_rope_fusion.py` |
| `tests/e2e/singlecard/compile/test_norm_quant_fusion.py` |
| `tests/e2e/singlecard/model_runner_v2/test_basic.py` |
| `tests/e2e/singlecard/test_aclgraph_accuracy.py` |
| `tests/e2e/singlecard/test_aclgraph_batch_invariant.py` |
| `tests/e2e/singlecard/test_aclgraph_mem.py` |
| `tests/e2e/singlecard/test_async_scheduling.py` |
| `tests/e2e/singlecard/test_auto_fit_max_mode_len.py` |
| `tests/e2e/singlecard/test_batch_invariant.py` |
| `tests/e2e/singlecard/test_camem.py` |
| `tests/e2e/singlecard/test_completion_with_prompt_embeds.py` |
| `tests/e2e/singlecard/test_cpu_offloading.py` |
| `tests/e2e/singlecard/test_guided_decoding.py` |
| `tests/e2e/singlecard/test_ilama_lora.py` |
| `tests/e2e/singlecard/test_llama32_lora.py` |
| `tests/e2e/singlecard/test_models.py` |
| `tests/e2e/singlecard/test_multistream_overlap_shared_expert.py` |
| `tests/e2e/singlecard/test_quantization.py` |
| `tests/e2e/singlecard/test_qwen3_multi_loras.py` |
| `tests/e2e/singlecard/test_sampler.py` |
| `tests/e2e/singlecard/test_vlm.py` |
| `tests/e2e/singlecard/test_xlite.py` |
| `tests/e2e/singlecard/utils.py` |

### Does this PR introduce _any_ user-facing change?

### How was this patch tested?

- vLLM version: v0.15.0
- vLLM main:
9562912cea

---------

Signed-off-by: MrZ20 <2609716663@qq.com>
This commit is contained in:
SILONG ZENG
2026-02-24 15:50:00 +08:00
committed by GitHub
parent 747484cb64
commit 62ea664aa7
26 changed files with 859 additions and 1052 deletions
Download Patch File Download Diff File Expand all files Collapse all files

24
tests/e2e/singlecard/model_runner_v2/test_basic.py
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@@ -47,9 +47,9 @@ def test_qwen3_dense_eager_mode(
sampling_params = SamplingParams(max_tokens=max_tokens, temperature=0.0)
with VllmRunner(
model,
max_model_len=1024,
enforce_eager=enforce_eager,
model,
max_model_len=1024,
enforce_eager=enforce_eager,
) as runner:
runner.model.generate(prompts, sampling_params)
@@ -74,14 +74,14 @@ def test_egale_spec_decoding(
sampling_params = SamplingParams(max_tokens=max_tokens, temperature=0.0)
with VllmRunner(
model,
max_model_len=1024,
enforce_eager=enforce_eager,
async_scheduling=True,
speculative_config={
"model": eagle_model,
"method": "eagle",
"num_speculative_tokens": 3,
},
model,
max_model_len=1024,
enforce_eager=enforce_eager,
async_scheduling=True,
speculative_config={
"model": eagle_model,
"method": "eagle",
"num_speculative_tokens": 3,
},
) as runner:
runner.model.generate(prompts, sampling_params)