add qwen3

vllm-v0.6.2/tests/entrypoints/llm/test_lazy_outlines.py

@@ -0,0 +1,55 @@
+import sys
+
+from vllm import LLM, SamplingParams
+from vllm.distributed import cleanup_dist_env_and_memory
+
+
+def test_lazy_outlines(sample_regex):
+    """If users don't use guided decoding, outlines should not be imported.
+    """
+    prompts = [
+        "Hello, my name is",
+        "The president of the United States is",
+        "The capital of France is",
+        "The future of AI is",
+    ]
+    sampling_params = SamplingParams(temperature=0.8, top_p=0.95)
+
+    # Create an LLM without guided decoding as a baseline.
+    llm = LLM(model="facebook/opt-125m",
+              enforce_eager=True,
+              gpu_memory_utilization=0.3)
+    outputs = llm.generate(prompts, sampling_params)
+    for output in outputs:
+        prompt = output.prompt
+        generated_text = output.outputs[0].text
+        print(f"Prompt: {prompt!r}, Generated text: {generated_text!r}")
+
+    # make sure outlines is not imported
+    assert 'outlines' not in sys.modules
+
+    # Destroy the LLM object and free up the GPU memory.
+    del llm
+    cleanup_dist_env_and_memory()
+
+    # Create an LLM with guided decoding enabled.
+    llm = LLM(model="facebook/opt-125m",
+              enforce_eager=True,
+              guided_decoding_backend="lm-format-enforcer",
+              gpu_memory_utilization=0.6)
+    sampling_params = SamplingParams(temperature=0.8, top_p=0.95)
+    outputs = llm.generate(
+        prompts=[
+            f"Give an example IPv4 address with this regex: {sample_regex}"
+        ] * 2,
+        sampling_params=sampling_params,
+        use_tqdm=True,
+        guided_options_request=dict(guided_regex=sample_regex))
+
+    for output in outputs:
+        prompt = output.prompt
+        generated_text = output.outputs[0].text
+        print(f"Prompt: {prompt!r}, Generated text: {generated_text!r}")
+
+    # make sure outlines is not imported
+    assert 'outlines' not in sys.modules