"""
Usage:
python3 -m unittest test_torch_native_attention_backend.TestTorchNativeAttnBackend.test_mmlu
"""

import unittest
from types import SimpleNamespace

from sglang.srt.utils import kill_process_tree
from sglang.test.ci.ci_register import register_amd_ci, register_cuda_ci
from sglang.test.run_eval import run_eval
from sglang.test.test_utils import (
    DEFAULT_MODEL_NAME_FOR_TEST,
    DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
    DEFAULT_URL_FOR_TEST,
    CustomTestCase,
    popen_launch_server,
)

# Torch native attention backend integration test with MMLU eval
register_cuda_ci(est_time=140, stage="extra-a", runner_config="1-gpu-small")
register_amd_ci(est_time=150, suite="stage-b-test-1-gpu-small-amd")


class TestTorchNativeAttnBackend(CustomTestCase):
    def test_mmlu(self):
        model = DEFAULT_MODEL_NAME_FOR_TEST
        base_url = DEFAULT_URL_FOR_TEST
        process = popen_launch_server(
            model,
            base_url,
            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
            other_args=["--attention-backend", "torch_native"],
        )

        try:
            args = SimpleNamespace(
                base_url=base_url,
                model=model,
                eval_name="mmlu",
                num_examples=64,
                num_threads=32,
            )

            metrics = run_eval(args)
            self.assertGreaterEqual(metrics["score"], 0.65)
        finally:
            kill_process_tree(process.pid)


if __name__ == "__main__":
    unittest.main()
