#

# Copyright (c) 2025 Huawei Technologies Co., Ltd. All Rights Reserved.

# This file is a part of the vllm-ascend project.

# Adapted from vllm/tests/entrypoints/llm/test_guided_generate.py

# Copyright 2023 The vLLM team.

#

# Licensed under the Apache License, Version 2.0 (the "License");

# you may not use this file except in compliance with the License.

# You may obtain a copy of the License at

#

#     http://www.apache.org/licenses/LICENSE-2.0

#

# Unless required by applicable law or agreed to in writing, software

# distributed under the License is distributed on an "AS IS" BASIS,

# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.

# See the License for the specific language governing permissions and

# limitations under the License.

#

from vllm import SamplingParams



from tests.e2e.conftest import VllmRunner





def test_models_topk() -> None:

    example_prompts = [

        "The capital of France is",

    ]

    sampling_params = SamplingParams(max_tokens=10, temperature=0.0, top_k=10, top_p=0.9)



    with VllmRunner(

        "Qwen/Qwen3-0.6B", max_model_len=4096, cudagraph_capture_sizes=[1, 2, 4, 8], gpu_memory_utilization=0.7

    ) as runner:

        runner.generate(example_prompts, sampling_params)