# Comprehensive test for hybrid parallelism (DP/TP attention, DP/TP Dense FFN, TP/EP Sparse FFN, DP/VP LM head) plus speculative decoding.
# These tests are not run by default but can be launched on demand.

import unittest
from types import SimpleNamespace

from sglang.srt.utils import kill_process_tree
from sglang.test.run_eval import run_eval
from sglang.test.test_utils import (
    DEFAULT_DEEPPEP_MODEL_NAME_FOR_TEST,
    DEFAULT_MLA_MODEL_NAME_FOR_TEST,
    DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
    DEFAULT_URL_FOR_TEST,
    CustomTestCase,
    popen_launch_server,
)


class Test00(CustomTestCase):
    @classmethod
    def setUpClass(cls):
        cls.model = DEFAULT_MLA_MODEL_NAME_FOR_TEST
        cls.base_url = DEFAULT_URL_FOR_TEST
        cls.process = popen_launch_server(
            cls.model,
            cls.base_url,
            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
            other_args=[
                "--trust-remote-code",
                "--tp",
                "8",
            ],
        )

    @classmethod
    def tearDownClass(cls):
        kill_process_tree(cls.process.pid)

    def test_mmlu(self):
        args = SimpleNamespace(
            base_url=self.base_url,
            model=self.model,
            eval_name="mmlu",
            num_examples=64,
            num_threads=32,
        )

        metrics = run_eval(args)
        print(f"{metrics=}")
        self.assertGreater(metrics["score"], 0.48)


class Test01(CustomTestCase):
    @classmethod
    def setUpClass(cls):
        cls.model = DEFAULT_MLA_MODEL_NAME_FOR_TEST
        cls.base_url = DEFAULT_URL_FOR_TEST
        cls.process = popen_launch_server(
            cls.model,
            cls.base_url,
            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
            other_args=[
                "--trust-remote-code",
                "--tp",
                "8",
                "--enable-dp-attention",
                "--dp",
                "4",
            ],
        )

    @classmethod
    def tearDownClass(cls):
        kill_process_tree(cls.process.pid)

    def test_mmlu(self):
        args = SimpleNamespace(
            base_url=self.base_url,
            model=self.model,
            eval_name="mmlu",
            num_examples=64,
            num_threads=32,
        )

        metrics = run_eval(args)
        print(f"{metrics=}")
        self.assertGreater(metrics["score"], 0.48)


class Test02(CustomTestCase):
    @classmethod
    def setUpClass(cls):
        cls.model = DEFAULT_MLA_MODEL_NAME_FOR_TEST
        cls.base_url = DEFAULT_URL_FOR_TEST
        cls.process = popen_launch_server(
            cls.model,
            cls.base_url,
            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
            other_args=[
                "--trust-remote-code",
                "--tp",
                "8",
                "--enable-dp-attention",
                "--dp",
                "8",
            ],
        )

    @classmethod
    def tearDownClass(cls):
        kill_process_tree(cls.process.pid)

    def test_mmlu(self):
        args = SimpleNamespace(
            base_url=self.base_url,
            model=self.model,
            eval_name="mmlu",
            num_examples=64,
            num_threads=32,
        )

        metrics = run_eval(args)
        print(f"{metrics=}")
        self.assertGreater(metrics["score"], 0.48)


class Test03(CustomTestCase):
    @classmethod
    def setUpClass(cls):
        cls.model = DEFAULT_MLA_MODEL_NAME_FOR_TEST
        cls.base_url = DEFAULT_URL_FOR_TEST
        cls.process = popen_launch_server(
            cls.model,
            cls.base_url,
            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
            other_args=[
                "--trust-remote-code",
                "--tp",
                "8",
                "--moe-dense-tp-size",
                "1",
            ],
        )

    @classmethod
    def tearDownClass(cls):
        kill_process_tree(cls.process.pid)

    def test_mmlu(self):
        args = SimpleNamespace(
            base_url=self.base_url,
            model=self.model,
            eval_name="mmlu",
            num_examples=64,
            num_threads=32,
        )

        metrics = run_eval(args)
        print(f"{metrics=}")
        self.assertGreater(metrics["score"], 0.48)


class Test04(CustomTestCase):
    @classmethod
    def setUpClass(cls):
        cls.model = DEFAULT_MLA_MODEL_NAME_FOR_TEST
        cls.base_url = DEFAULT_URL_FOR_TEST
        cls.process = popen_launch_server(
            cls.model,
            cls.base_url,
            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
            other_args=[
                "--trust-remote-code",
                "--tp",
                "8",
                "--enable-dp-attention",
                "--dp",
                "4",
                "--moe-dense-tp-size",
                "1",
            ],
        )

    @classmethod
    def tearDownClass(cls):
        kill_process_tree(cls.process.pid)

    def test_mmlu(self):
        args = SimpleNamespace(
            base_url=self.base_url,
            model=self.model,
            eval_name="mmlu",
            num_examples=64,
            num_threads=32,
        )

        metrics = run_eval(args)
        print(f"{metrics=}")
        self.assertGreater(metrics["score"], 0.48)


class Test05(CustomTestCase):
    @classmethod
    def setUpClass(cls):
        cls.model = DEFAULT_MLA_MODEL_NAME_FOR_TEST
        cls.base_url = DEFAULT_URL_FOR_TEST
        cls.process = popen_launch_server(
            cls.model,
            cls.base_url,
            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
            other_args=[
                "--trust-remote-code",
                "--tp",
                "8",
                "--enable-dp-attention",
                "--dp",
                "8",
                "--moe-dense-tp-size",
                "1",
            ],
        )

    @classmethod
    def tearDownClass(cls):
        kill_process_tree(cls.process.pid)

    def test_mmlu(self):
        args = SimpleNamespace(
            base_url=self.base_url,
            model=self.model,
            eval_name="mmlu",
            num_examples=64,
            num_threads=32,
        )

        metrics = run_eval(args)
        print(f"{metrics=}")
        self.assertGreater(metrics["score"], 0.48)


class Test06(CustomTestCase):
    @classmethod
    def setUpClass(cls):
        cls.model = DEFAULT_MLA_MODEL_NAME_FOR_TEST
        cls.base_url = DEFAULT_URL_FOR_TEST
        cls.process = popen_launch_server(
            cls.model,
            cls.base_url,
            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
            other_args=[
                "--trust-remote-code",
                "--tp",
                "8",
                "--enable-dp-attention",
                "--dp",
                "4",
                "--enable-dp-lm-head",
            ],
        )

    @classmethod
    def tearDownClass(cls):
        kill_process_tree(cls.process.pid)

    def test_mmlu(self):
        args = SimpleNamespace(
            base_url=self.base_url,
            model=self.model,
            eval_name="mmlu",
            num_examples=64,
            num_threads=32,
        )

        metrics = run_eval(args)
        print(f"{metrics=}")
        self.assertGreater(metrics["score"], 0.48)


class Test07(CustomTestCase):
    @classmethod
    def setUpClass(cls):
        cls.model = DEFAULT_MLA_MODEL_NAME_FOR_TEST
        cls.base_url = DEFAULT_URL_FOR_TEST
        cls.process = popen_launch_server(
            cls.model,
            cls.base_url,
            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
            other_args=[
                "--trust-remote-code",
                "--tp",
                "8",
                "--enable-dp-attention",
                "--dp",
                "8",
                "--enable-dp-lm-head",
            ],
        )

    @classmethod
    def tearDownClass(cls):
        kill_process_tree(cls.process.pid)

    def test_mmlu(self):
        args = SimpleNamespace(
            base_url=self.base_url,
            model=self.model,
            eval_name="mmlu",
            num_examples=64,
            num_threads=32,
        )

        metrics = run_eval(args)
        print(f"{metrics=}")
        self.assertGreater(metrics["score"], 0.48)


class Test08(CustomTestCase):
    @classmethod
    def setUpClass(cls):
        cls.model = DEFAULT_MLA_MODEL_NAME_FOR_TEST
        cls.base_url = DEFAULT_URL_FOR_TEST
        cls.process = popen_launch_server(
            cls.model,
            cls.base_url,
            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
            other_args=[
                "--trust-remote-code",
                "--tp",
                "8",
                "--enable-dp-attention",
                "--dp",
                "4",
                "--moe-dense-tp-size",
                "1",
                "--enable-dp-lm-head",
            ],
        )

    @classmethod
    def tearDownClass(cls):
        kill_process_tree(cls.process.pid)

    def test_mmlu(self):
        args = SimpleNamespace(
            base_url=self.base_url,
            model=self.model,
            eval_name="mmlu",
            num_examples=64,
            num_threads=32,
        )

        metrics = run_eval(args)
        print(f"{metrics=}")
        self.assertGreater(metrics["score"], 0.48)


class Test09(CustomTestCase):
    @classmethod
    def setUpClass(cls):
        cls.model = DEFAULT_MLA_MODEL_NAME_FOR_TEST
        cls.base_url = DEFAULT_URL_FOR_TEST
        cls.process = popen_launch_server(
            cls.model,
            cls.base_url,
            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
            other_args=[
                "--trust-remote-code",
                "--tp",
                "8",
                "--enable-dp-attention",
                "--dp",
                "8",
                "--moe-dense-tp-size",
                "1",
                "--enable-dp-lm-head",
            ],
        )

    @classmethod
    def tearDownClass(cls):
        kill_process_tree(cls.process.pid)

    def test_mmlu(self):
        args = SimpleNamespace(
            base_url=self.base_url,
            model=self.model,
            eval_name="mmlu",
            num_examples=64,
            num_threads=32,
        )

        metrics = run_eval(args)
        print(f"{metrics=}")
        self.assertGreater(metrics["score"], 0.48)


class Test10(CustomTestCase):
    @classmethod
    def setUpClass(cls):
        cls.model = DEFAULT_DEEPPEP_MODEL_NAME_FOR_TEST
        cls.base_url = DEFAULT_URL_FOR_TEST
        cls.process = popen_launch_server(
            cls.model,
            cls.base_url,
            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
            other_args=[
                "--trust-remote-code",
                "--tp",
                "8",
                "--moe-a2a-backend",
                "deepep",
                "--cuda-graph-max-bs",
                "128",
            ],
        )

    @classmethod
    def tearDownClass(cls):
        kill_process_tree(cls.process.pid)

    def test_mmlu(self):
        args = SimpleNamespace(
            base_url=self.base_url,
            model=self.model,
            eval_name="mmlu",
            num_examples=64,
            num_threads=32,
        )

        metrics = run_eval(args)
        print(f"{metrics=}")
        self.assertGreater(metrics["score"], 0.48)


class Test11(CustomTestCase):
    @classmethod
    def setUpClass(cls):
        cls.model = DEFAULT_DEEPPEP_MODEL_NAME_FOR_TEST
        cls.base_url = DEFAULT_URL_FOR_TEST
        cls.process = popen_launch_server(
            cls.model,
            cls.base_url,
            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
            other_args=[
                "--trust-remote-code",
                "--tp",
                "8",
                "--enable-dp-attention",
                "--dp",
                "4",
                "--moe-a2a-backend",
                "deepep",
                "--cuda-graph-max-bs",
                "128",
            ],
        )

    @classmethod
    def tearDownClass(cls):
        kill_process_tree(cls.process.pid)

    def test_mmlu(self):
        args = SimpleNamespace(
            base_url=self.base_url,
            model=self.model,
            eval_name="mmlu",
            num_examples=64,
            num_threads=32,
        )

        metrics = run_eval(args)
        print(f"{metrics=}")
        self.assertGreater(metrics["score"], 0.48)


class Test12(CustomTestCase):
    @classmethod
    def setUpClass(cls):
        cls.model = DEFAULT_DEEPPEP_MODEL_NAME_FOR_TEST
        cls.base_url = DEFAULT_URL_FOR_TEST
        cls.process = popen_launch_server(
            cls.model,
            cls.base_url,
            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
            other_args=[
                "--trust-remote-code",
                "--tp",
                "8",
                "--enable-dp-attention",
                "--dp",
                "8",
                "--moe-a2a-backend",
                "deepep",
                "--cuda-graph-max-bs",
                "128",
            ],
        )

    @classmethod
    def tearDownClass(cls):
        kill_process_tree(cls.process.pid)

    def test_mmlu(self):
        args = SimpleNamespace(
            base_url=self.base_url,
            model=self.model,
            eval_name="mmlu",
            num_examples=64,
            num_threads=32,
        )

        metrics = run_eval(args)
        print(f"{metrics=}")
        self.assertGreater(metrics["score"], 0.48)


class Test13(CustomTestCase):
    @classmethod
    def setUpClass(cls):
        cls.model = DEFAULT_DEEPPEP_MODEL_NAME_FOR_TEST
        cls.base_url = DEFAULT_URL_FOR_TEST
        cls.process = popen_launch_server(
            cls.model,
            cls.base_url,
            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
            other_args=[
                "--trust-remote-code",
                "--tp",
                "8",
                "--moe-dense-tp-size",
                "1",
                "--moe-a2a-backend",
                "deepep",
                "--cuda-graph-max-bs",
                "128",
            ],
        )

    @classmethod
    def tearDownClass(cls):
        kill_process_tree(cls.process.pid)

    def test_mmlu(self):
        args = SimpleNamespace(
            base_url=self.base_url,
            model=self.model,
            eval_name="mmlu",
            num_examples=64,
            num_threads=32,
        )

        metrics = run_eval(args)
        print(f"{metrics=}")
        self.assertGreater(metrics["score"], 0.48)


class Test14(CustomTestCase):
    @classmethod
    def setUpClass(cls):
        cls.model = DEFAULT_DEEPPEP_MODEL_NAME_FOR_TEST
        cls.base_url = DEFAULT_URL_FOR_TEST
        cls.process = popen_launch_server(
            cls.model,
            cls.base_url,
            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
            other_args=[
                "--trust-remote-code",
                "--tp",
                "8",
                "--enable-dp-attention",
                "--dp",
                "4",
                "--moe-dense-tp-size",
                "1",
                "--moe-a2a-backend",
                "deepep",
                "--cuda-graph-max-bs",
                "128",
            ],
        )

    @classmethod
    def tearDownClass(cls):
        kill_process_tree(cls.process.pid)

    def test_mmlu(self):
        args = SimpleNamespace(
            base_url=self.base_url,
            model=self.model,
            eval_name="mmlu",
            num_examples=64,
            num_threads=32,
        )

        metrics = run_eval(args)
        print(f"{metrics=}")
        self.assertGreater(metrics["score"], 0.48)


class Test15(CustomTestCase):
    @classmethod
    def setUpClass(cls):
        cls.model = DEFAULT_DEEPPEP_MODEL_NAME_FOR_TEST
        cls.base_url = DEFAULT_URL_FOR_TEST
        cls.process = popen_launch_server(
            cls.model,
            cls.base_url,
            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
            other_args=[
                "--trust-remote-code",
                "--tp",
                "8",
                "--enable-dp-attention",
                "--dp",
                "8",
                "--moe-dense-tp-size",
                "1",
                "--moe-a2a-backend",
                "deepep",
                "--cuda-graph-max-bs",
                "128",
            ],
        )

    @classmethod
    def tearDownClass(cls):
        kill_process_tree(cls.process.pid)

    def test_mmlu(self):
        args = SimpleNamespace(
            base_url=self.base_url,
            model=self.model,
            eval_name="mmlu",
            num_examples=64,
            num_threads=32,
        )

        metrics = run_eval(args)
        print(f"{metrics=}")
        self.assertGreater(metrics["score"], 0.48)


class Test16(CustomTestCase):
    @classmethod
    def setUpClass(cls):
        cls.model = DEFAULT_DEEPPEP_MODEL_NAME_FOR_TEST
        cls.base_url = DEFAULT_URL_FOR_TEST
        cls.process = popen_launch_server(
            cls.model,
            cls.base_url,
            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
            other_args=[
                "--trust-remote-code",
                "--tp",
                "8",
                "--enable-dp-attention",
                "--dp",
                "4",
                "--enable-dp-lm-head",
                "--moe-a2a-backend",
                "deepep",
                "--cuda-graph-max-bs",
                "128",
            ],
        )

    @classmethod
    def tearDownClass(cls):
        kill_process_tree(cls.process.pid)

    def test_mmlu(self):
        args = SimpleNamespace(
            base_url=self.base_url,
            model=self.model,
            eval_name="mmlu",
            num_examples=64,
            num_threads=32,
        )

        metrics = run_eval(args)
        print(f"{metrics=}")
        self.assertGreater(metrics["score"], 0.48)


class Test17(CustomTestCase):
    @classmethod
    def setUpClass(cls):
        cls.model = DEFAULT_DEEPPEP_MODEL_NAME_FOR_TEST
        cls.base_url = DEFAULT_URL_FOR_TEST
        cls.process = popen_launch_server(
            cls.model,
            cls.base_url,
            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
            other_args=[
                "--trust-remote-code",
                "--tp",
                "8",
                "--enable-dp-attention",
                "--dp",
                "8",
                "--enable-dp-lm-head",
                "--moe-a2a-backend",
                "deepep",
                "--cuda-graph-max-bs",
                "128",
            ],
        )

    @classmethod
    def tearDownClass(cls):
        kill_process_tree(cls.process.pid)

    def test_mmlu(self):
        args = SimpleNamespace(
            base_url=self.base_url,
            model=self.model,
            eval_name="mmlu",
            num_examples=64,
            num_threads=32,
        )

        metrics = run_eval(args)
        print(f"{metrics=}")
        self.assertGreater(metrics["score"], 0.48)


class Test18(CustomTestCase):
    @classmethod
    def setUpClass(cls):
        cls.model = DEFAULT_DEEPPEP_MODEL_NAME_FOR_TEST
        cls.base_url = DEFAULT_URL_FOR_TEST
        cls.process = popen_launch_server(
            cls.model,
            cls.base_url,
            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
            other_args=[
                "--trust-remote-code",
                "--tp",
                "8",
                "--enable-dp-attention",
                "--dp",
                "4",
                "--moe-dense-tp-size",
                "1",
                "--enable-dp-lm-head",
                "--moe-a2a-backend",
                "deepep",
                "--cuda-graph-max-bs",
                "128",
            ],
        )

    @classmethod
    def tearDownClass(cls):
        kill_process_tree(cls.process.pid)

    def test_mmlu(self):
        args = SimpleNamespace(
            base_url=self.base_url,
            model=self.model,
            eval_name="mmlu",
            num_examples=64,
            num_threads=32,
        )

        metrics = run_eval(args)
        print(f"{metrics=}")
        self.assertGreater(metrics["score"], 0.48)


class Test19(CustomTestCase):
    @classmethod
    def setUpClass(cls):
        cls.model = DEFAULT_DEEPPEP_MODEL_NAME_FOR_TEST
        cls.base_url = DEFAULT_URL_FOR_TEST
        cls.process = popen_launch_server(
            cls.model,
            cls.base_url,
            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
            other_args=[
                "--trust-remote-code",
                "--tp",
                "8",
                "--enable-dp-attention",
                "--dp",
                "8",
                "--moe-dense-tp-size",
                "1",
                "--enable-dp-lm-head",
                "--moe-a2a-backend",
                "deepep",
                "--cuda-graph-max-bs",
                "128",
            ],
        )

    @classmethod
    def tearDownClass(cls):
        kill_process_tree(cls.process.pid)

    def test_mmlu(self):
        args = SimpleNamespace(
            base_url=self.base_url,
            model=self.model,
            eval_name="mmlu",
            num_examples=64,
            num_threads=32,
        )

        metrics = run_eval(args)
        print(f"{metrics=}")
        self.assertGreater(metrics["score"], 0.48)


class Test20(CustomTestCase):
    @classmethod
    def setUpClass(cls):
        cls.model = DEFAULT_MLA_MODEL_NAME_FOR_TEST
        cls.base_url = DEFAULT_URL_FOR_TEST
        cls.process = popen_launch_server(
            cls.model,
            cls.base_url,
            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
            other_args=[
                "--trust-remote-code",
                "--tp",
                "8",
                "--ep",
                "8",
            ],
        )

    @classmethod
    def tearDownClass(cls):
        kill_process_tree(cls.process.pid)

    def test_mmlu(self):
        args = SimpleNamespace(
            base_url=self.base_url,
            model=self.model,
            eval_name="mmlu",
            num_examples=64,
            num_threads=32,
        )

        metrics = run_eval(args)
        print(f"{metrics=}")
        self.assertGreater(metrics["score"], 0.48)


class Test21(CustomTestCase):
    @classmethod
    def setUpClass(cls):
        cls.model = DEFAULT_MLA_MODEL_NAME_FOR_TEST
        cls.base_url = DEFAULT_URL_FOR_TEST
        cls.process = popen_launch_server(
            cls.model,
            cls.base_url,
            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
            other_args=[
                "--trust-remote-code",
                "--tp",
                "8",
                "--enable-dp-attention",
                "--dp",
                "4",
                "--ep",
                "8",
            ],
        )

    @classmethod
    def tearDownClass(cls):
        kill_process_tree(cls.process.pid)

    def test_mmlu(self):
        args = SimpleNamespace(
            base_url=self.base_url,
            model=self.model,
            eval_name="mmlu",
            num_examples=64,
            num_threads=32,
        )

        metrics = run_eval(args)
        print(f"{metrics=}")
        self.assertGreater(metrics["score"], 0.48)


class Test22(CustomTestCase):
    @classmethod
    def setUpClass(cls):
        cls.model = DEFAULT_MLA_MODEL_NAME_FOR_TEST
        cls.base_url = DEFAULT_URL_FOR_TEST
        cls.process = popen_launch_server(
            cls.model,
            cls.base_url,
            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
            other_args=[
                "--trust-remote-code",
                "--tp",
                "8",
                "--enable-dp-attention",
                "--dp",
                "8",
                "--ep",
                "8",
            ],
        )

    @classmethod
    def tearDownClass(cls):
        kill_process_tree(cls.process.pid)

    def test_mmlu(self):
        args = SimpleNamespace(
            base_url=self.base_url,
            model=self.model,
            eval_name="mmlu",
            num_examples=64,
            num_threads=32,
        )

        metrics = run_eval(args)
        print(f"{metrics=}")
        self.assertGreater(metrics["score"], 0.48)


class Test23(CustomTestCase):
    @classmethod
    def setUpClass(cls):
        cls.model = DEFAULT_MLA_MODEL_NAME_FOR_TEST
        cls.base_url = DEFAULT_URL_FOR_TEST
        cls.process = popen_launch_server(
            cls.model,
            cls.base_url,
            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
            other_args=[
                "--trust-remote-code",
                "--tp",
                "8",
                "--moe-dense-tp-size",
                "1",
                "--ep",
                "8",
            ],
        )

    @classmethod
    def tearDownClass(cls):
        kill_process_tree(cls.process.pid)

    def test_mmlu(self):
        args = SimpleNamespace(
            base_url=self.base_url,
            model=self.model,
            eval_name="mmlu",
            num_examples=64,
            num_threads=32,
        )

        metrics = run_eval(args)
        print(f"{metrics=}")
        self.assertGreater(metrics["score"], 0.48)


class Test24(CustomTestCase):
    @classmethod
    def setUpClass(cls):
        cls.model = DEFAULT_MLA_MODEL_NAME_FOR_TEST
        cls.base_url = DEFAULT_URL_FOR_TEST
        cls.process = popen_launch_server(
            cls.model,
            cls.base_url,
            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
            other_args=[
                "--trust-remote-code",
                "--tp",
                "8",
                "--enable-dp-attention",
                "--dp",
                "4",
                "--moe-dense-tp-size",
                "1",
                "--ep",
                "8",
            ],
        )

    @classmethod
    def tearDownClass(cls):
        kill_process_tree(cls.process.pid)

    def test_mmlu(self):
        args = SimpleNamespace(
            base_url=self.base_url,
            model=self.model,
            eval_name="mmlu",
            num_examples=64,
            num_threads=32,
        )

        metrics = run_eval(args)
        print(f"{metrics=}")
        self.assertGreater(metrics["score"], 0.48)


class Test25(CustomTestCase):
    @classmethod
    def setUpClass(cls):
        cls.model = DEFAULT_MLA_MODEL_NAME_FOR_TEST
        cls.base_url = DEFAULT_URL_FOR_TEST
        cls.process = popen_launch_server(
            cls.model,
            cls.base_url,
            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
            other_args=[
                "--trust-remote-code",
                "--tp",
                "8",
                "--enable-dp-attention",
                "--dp",
                "8",
                "--moe-dense-tp-size",
                "1",
                "--ep",
                "8",
            ],
        )

    @classmethod
    def tearDownClass(cls):
        kill_process_tree(cls.process.pid)

    def test_mmlu(self):
        args = SimpleNamespace(
            base_url=self.base_url,
            model=self.model,
            eval_name="mmlu",
            num_examples=64,
            num_threads=32,
        )

        metrics = run_eval(args)
        print(f"{metrics=}")
        self.assertGreater(metrics["score"], 0.48)


class Test26(CustomTestCase):
    @classmethod
    def setUpClass(cls):
        cls.model = DEFAULT_MLA_MODEL_NAME_FOR_TEST
        cls.base_url = DEFAULT_URL_FOR_TEST
        cls.process = popen_launch_server(
            cls.model,
            cls.base_url,
            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
            other_args=[
                "--trust-remote-code",
                "--tp",
                "8",
                "--enable-dp-attention",
                "--dp",
                "4",
                "--enable-dp-lm-head",
                "--ep",
                "8",
            ],
        )

    @classmethod
    def tearDownClass(cls):
        kill_process_tree(cls.process.pid)

    def test_mmlu(self):
        args = SimpleNamespace(
            base_url=self.base_url,
            model=self.model,
            eval_name="mmlu",
            num_examples=64,
            num_threads=32,
        )

        metrics = run_eval(args)
        print(f"{metrics=}")
        self.assertGreater(metrics["score"], 0.48)


class Test27(CustomTestCase):
    @classmethod
    def setUpClass(cls):
        cls.model = DEFAULT_MLA_MODEL_NAME_FOR_TEST
        cls.base_url = DEFAULT_URL_FOR_TEST
        cls.process = popen_launch_server(
            cls.model,
            cls.base_url,
            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
            other_args=[
                "--trust-remote-code",
                "--tp",
                "8",
                "--enable-dp-attention",
                "--dp",
                "8",
                "--enable-dp-lm-head",
                "--ep",
                "8",
            ],
        )

    @classmethod
    def tearDownClass(cls):
        kill_process_tree(cls.process.pid)

    def test_mmlu(self):
        args = SimpleNamespace(
            base_url=self.base_url,
            model=self.model,
            eval_name="mmlu",
            num_examples=64,
            num_threads=32,
        )

        metrics = run_eval(args)
        print(f"{metrics=}")
        self.assertGreater(metrics["score"], 0.48)


class Test28(CustomTestCase):
    @classmethod
    def setUpClass(cls):
        cls.model = DEFAULT_MLA_MODEL_NAME_FOR_TEST
        cls.base_url = DEFAULT_URL_FOR_TEST
        cls.process = popen_launch_server(
            cls.model,
            cls.base_url,
            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
            other_args=[
                "--trust-remote-code",
                "--tp",
                "8",
                "--enable-dp-attention",
                "--dp",
                "4",
                "--moe-dense-tp-size",
                "1",
                "--enable-dp-lm-head",
                "--ep",
                "8",
            ],
        )

    @classmethod
    def tearDownClass(cls):
        kill_process_tree(cls.process.pid)

    def test_mmlu(self):
        args = SimpleNamespace(
            base_url=self.base_url,
            model=self.model,
            eval_name="mmlu",
            num_examples=64,
            num_threads=32,
        )

        metrics = run_eval(args)
        print(f"{metrics=}")
        self.assertGreater(metrics["score"], 0.48)


class Test29(CustomTestCase):
    @classmethod
    def setUpClass(cls):
        cls.model = DEFAULT_MLA_MODEL_NAME_FOR_TEST
        cls.base_url = DEFAULT_URL_FOR_TEST
        cls.process = popen_launch_server(
            cls.model,
            cls.base_url,
            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
            other_args=[
                "--trust-remote-code",
                "--tp",
                "8",
                "--enable-dp-attention",
                "--dp",
                "8",
                "--moe-dense-tp-size",
                "1",
                "--enable-dp-lm-head",
                "--ep",
                "8",
            ],
        )

    @classmethod
    def tearDownClass(cls):
        kill_process_tree(cls.process.pid)

    def test_mmlu(self):
        args = SimpleNamespace(
            base_url=self.base_url,
            model=self.model,
            eval_name="mmlu",
            num_examples=64,
            num_threads=32,
        )

        metrics = run_eval(args)
        print(f"{metrics=}")
        self.assertGreater(metrics["score"], 0.48)


class Test30(CustomTestCase):
    @classmethod
    def setUpClass(cls):
        cls.model = DEFAULT_DEEPPEP_MODEL_NAME_FOR_TEST
        cls.base_url = DEFAULT_URL_FOR_TEST
        cls.process = popen_launch_server(
            cls.model,
            cls.base_url,
            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
            other_args=[
                "--trust-remote-code",
                "--tp",
                "8",
                "--speculative-algo",
                "EAGLE",
                "--speculative-draft-model-path",
                "lmsys/DeepSeek-V3-0324-NextN",
                "--speculative-num-steps",
                "2",
                "--speculative-eagle-topk",
                "4",
                "--speculative-num-draft-tokens",
                "4",
            ],
        )

    @classmethod
    def tearDownClass(cls):
        kill_process_tree(cls.process.pid)

    def test_mmlu(self):
        args = SimpleNamespace(
            base_url=self.base_url,
            model=self.model,
            eval_name="mmlu",
            num_examples=64,
            num_threads=32,
        )

        metrics = run_eval(args)
        print(f"{metrics=}")
        self.assertGreater(metrics["score"], 0.48)


class Test31(CustomTestCase):
    @classmethod
    def setUpClass(cls):
        cls.model = DEFAULT_DEEPPEP_MODEL_NAME_FOR_TEST
        cls.base_url = DEFAULT_URL_FOR_TEST
        cls.process = popen_launch_server(
            cls.model,
            cls.base_url,
            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
            other_args=[
                "--trust-remote-code",
                "--tp",
                "8",
                "--enable-dp-attention",
                "--dp",
                "4",
                "--speculative-algo",
                "EAGLE",
                "--speculative-draft-model-path",
                "lmsys/DeepSeek-V3-0324-NextN",
                "--speculative-num-steps",
                "2",
                "--speculative-eagle-topk",
                "4",
                "--speculative-num-draft-tokens",
                "4",
            ],
        )

    @classmethod
    def tearDownClass(cls):
        kill_process_tree(cls.process.pid)

    def test_mmlu(self):
        args = SimpleNamespace(
            base_url=self.base_url,
            model=self.model,
            eval_name="mmlu",
            num_examples=64,
            num_threads=32,
        )

        metrics = run_eval(args)
        print(f"{metrics=}")
        self.assertGreater(metrics["score"], 0.48)


class Test32(CustomTestCase):
    @classmethod
    def setUpClass(cls):
        cls.model = DEFAULT_DEEPPEP_MODEL_NAME_FOR_TEST
        cls.base_url = DEFAULT_URL_FOR_TEST
        cls.process = popen_launch_server(
            cls.model,
            cls.base_url,
            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
            other_args=[
                "--trust-remote-code",
                "--tp",
                "8",
                "--enable-dp-attention",
                "--dp",
                "8",
                "--speculative-algo",
                "EAGLE",
                "--speculative-draft-model-path",
                "lmsys/DeepSeek-V3-0324-NextN",
                "--speculative-num-steps",
                "2",
                "--speculative-eagle-topk",
                "4",
                "--speculative-num-draft-tokens",
                "4",
            ],
        )

    @classmethod
    def tearDownClass(cls):
        kill_process_tree(cls.process.pid)

    def test_mmlu(self):
        args = SimpleNamespace(
            base_url=self.base_url,
            model=self.model,
            eval_name="mmlu",
            num_examples=64,
            num_threads=32,
        )

        metrics = run_eval(args)
        print(f"{metrics=}")
        self.assertGreater(metrics["score"], 0.48)


class Test33(CustomTestCase):
    @classmethod
    def setUpClass(cls):
        cls.model = DEFAULT_DEEPPEP_MODEL_NAME_FOR_TEST
        cls.base_url = DEFAULT_URL_FOR_TEST
        cls.process = popen_launch_server(
            cls.model,
            cls.base_url,
            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
            other_args=[
                "--trust-remote-code",
                "--tp",
                "8",
                "--moe-dense-tp-size",
                "1",
                "--speculative-algo",
                "EAGLE",
                "--speculative-draft-model-path",
                "lmsys/DeepSeek-V3-0324-NextN",
                "--speculative-num-steps",
                "2",
                "--speculative-eagle-topk",
                "4",
                "--speculative-num-draft-tokens",
                "4",
            ],
        )

    @classmethod
    def tearDownClass(cls):
        kill_process_tree(cls.process.pid)

    def test_mmlu(self):
        args = SimpleNamespace(
            base_url=self.base_url,
            model=self.model,
            eval_name="mmlu",
            num_examples=64,
            num_threads=32,
        )

        metrics = run_eval(args)
        print(f"{metrics=}")
        self.assertGreater(metrics["score"], 0.48)


class Test34(CustomTestCase):
    @classmethod
    def setUpClass(cls):
        cls.model = DEFAULT_DEEPPEP_MODEL_NAME_FOR_TEST
        cls.base_url = DEFAULT_URL_FOR_TEST
        cls.process = popen_launch_server(
            cls.model,
            cls.base_url,
            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
            other_args=[
                "--trust-remote-code",
                "--tp",
                "8",
                "--enable-dp-attention",
                "--dp",
                "4",
                "--moe-dense-tp-size",
                "1",
                "--speculative-algo",
                "EAGLE",
                "--speculative-draft-model-path",
                "lmsys/DeepSeek-V3-0324-NextN",
                "--speculative-num-steps",
                "2",
                "--speculative-eagle-topk",
                "4",
                "--speculative-num-draft-tokens",
                "4",
            ],
        )

    @classmethod
    def tearDownClass(cls):
        kill_process_tree(cls.process.pid)

    def test_mmlu(self):
        args = SimpleNamespace(
            base_url=self.base_url,
            model=self.model,
            eval_name="mmlu",
            num_examples=64,
            num_threads=32,
        )

        metrics = run_eval(args)
        print(f"{metrics=}")
        self.assertGreater(metrics["score"], 0.48)


class Test35(CustomTestCase):
    @classmethod
    def setUpClass(cls):
        cls.model = DEFAULT_DEEPPEP_MODEL_NAME_FOR_TEST
        cls.base_url = DEFAULT_URL_FOR_TEST
        cls.process = popen_launch_server(
            cls.model,
            cls.base_url,
            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
            other_args=[
                "--trust-remote-code",
                "--tp",
                "8",
                "--enable-dp-attention",
                "--dp",
                "8",
                "--moe-dense-tp-size",
                "1",
                "--speculative-algo",
                "EAGLE",
                "--speculative-draft-model-path",
                "lmsys/DeepSeek-V3-0324-NextN",
                "--speculative-num-steps",
                "2",
                "--speculative-eagle-topk",
                "4",
                "--speculative-num-draft-tokens",
                "4",
            ],
        )

    @classmethod
    def tearDownClass(cls):
        kill_process_tree(cls.process.pid)

    def test_mmlu(self):
        args = SimpleNamespace(
            base_url=self.base_url,
            model=self.model,
            eval_name="mmlu",
            num_examples=64,
            num_threads=32,
        )

        metrics = run_eval(args)
        print(f"{metrics=}")
        self.assertGreater(metrics["score"], 0.48)


class Test36(CustomTestCase):
    @classmethod
    def setUpClass(cls):
        cls.model = DEFAULT_DEEPPEP_MODEL_NAME_FOR_TEST
        cls.base_url = DEFAULT_URL_FOR_TEST
        cls.process = popen_launch_server(
            cls.model,
            cls.base_url,
            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
            other_args=[
                "--trust-remote-code",
                "--tp",
                "8",
                "--enable-dp-attention",
                "--dp",
                "4",
                "--enable-dp-lm-head",
                "--speculative-algo",
                "EAGLE",
                "--speculative-draft-model-path",
                "lmsys/DeepSeek-V3-0324-NextN",
                "--speculative-num-steps",
                "2",
                "--speculative-eagle-topk",
                "4",
                "--speculative-num-draft-tokens",
                "4",
            ],
        )

    @classmethod
    def tearDownClass(cls):
        kill_process_tree(cls.process.pid)

    def test_mmlu(self):
        args = SimpleNamespace(
            base_url=self.base_url,
            model=self.model,
            eval_name="mmlu",
            num_examples=64,
            num_threads=32,
        )

        metrics = run_eval(args)
        print(f"{metrics=}")
        self.assertGreater(metrics["score"], 0.48)


class Test37(CustomTestCase):
    @classmethod
    def setUpClass(cls):
        cls.model = DEFAULT_DEEPPEP_MODEL_NAME_FOR_TEST
        cls.base_url = DEFAULT_URL_FOR_TEST
        cls.process = popen_launch_server(
            cls.model,
            cls.base_url,
            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
            other_args=[
                "--trust-remote-code",
                "--tp",
                "8",
                "--enable-dp-attention",
                "--dp",
                "8",
                "--enable-dp-lm-head",
                "--speculative-algo",
                "EAGLE",
                "--speculative-draft-model-path",
                "lmsys/DeepSeek-V3-0324-NextN",
                "--speculative-num-steps",
                "2",
                "--speculative-eagle-topk",
                "4",
                "--speculative-num-draft-tokens",
                "4",
            ],
        )

    @classmethod
    def tearDownClass(cls):
        kill_process_tree(cls.process.pid)

    def test_mmlu(self):
        args = SimpleNamespace(
            base_url=self.base_url,
            model=self.model,
            eval_name="mmlu",
            num_examples=64,
            num_threads=32,
        )

        metrics = run_eval(args)
        print(f"{metrics=}")
        self.assertGreater(metrics["score"], 0.48)


class Test38(CustomTestCase):
    @classmethod
    def setUpClass(cls):
        cls.model = DEFAULT_DEEPPEP_MODEL_NAME_FOR_TEST
        cls.base_url = DEFAULT_URL_FOR_TEST
        cls.process = popen_launch_server(
            cls.model,
            cls.base_url,
            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
            other_args=[
                "--trust-remote-code",
                "--tp",
                "8",
                "--enable-dp-attention",
                "--dp",
                "4",
                "--moe-dense-tp-size",
                "1",
                "--enable-dp-lm-head",
                "--speculative-algo",
                "EAGLE",
                "--speculative-draft-model-path",
                "lmsys/DeepSeek-V3-0324-NextN",
                "--speculative-num-steps",
                "2",
                "--speculative-eagle-topk",
                "4",
                "--speculative-num-draft-tokens",
                "4",
            ],
        )

    @classmethod
    def tearDownClass(cls):
        kill_process_tree(cls.process.pid)

    def test_mmlu(self):
        args = SimpleNamespace(
            base_url=self.base_url,
            model=self.model,
            eval_name="mmlu",
            num_examples=64,
            num_threads=32,
        )

        metrics = run_eval(args)
        print(f"{metrics=}")
        self.assertGreater(metrics["score"], 0.48)


class Test39(CustomTestCase):
    @classmethod
    def setUpClass(cls):
        cls.model = DEFAULT_DEEPPEP_MODEL_NAME_FOR_TEST
        cls.base_url = DEFAULT_URL_FOR_TEST
        cls.process = popen_launch_server(
            cls.model,
            cls.base_url,
            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
            other_args=[
                "--trust-remote-code",
                "--tp",
                "8",
                "--enable-dp-attention",
                "--dp",
                "8",
                "--moe-dense-tp-size",
                "1",
                "--enable-dp-lm-head",
                "--speculative-algo",
                "EAGLE",
                "--speculative-draft-model-path",
                "lmsys/DeepSeek-V3-0324-NextN",
                "--speculative-num-steps",
                "2",
                "--speculative-eagle-topk",
                "4",
                "--speculative-num-draft-tokens",
                "4",
            ],
        )

    @classmethod
    def tearDownClass(cls):
        kill_process_tree(cls.process.pid)

    def test_mmlu(self):
        args = SimpleNamespace(
            base_url=self.base_url,
            model=self.model,
            eval_name="mmlu",
            num_examples=64,
            num_threads=32,
        )

        metrics = run_eval(args)
        print(f"{metrics=}")
        self.assertGreater(metrics["score"], 0.48)


class Test40(CustomTestCase):
    @classmethod
    def setUpClass(cls):
        cls.model = DEFAULT_DEEPPEP_MODEL_NAME_FOR_TEST
        cls.base_url = DEFAULT_URL_FOR_TEST
        cls.process = popen_launch_server(
            cls.model,
            cls.base_url,
            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
            other_args=[
                "--trust-remote-code",
                "--tp",
                "8",
                "--moe-a2a-backend",
                "deepep",
                "--cuda-graph-max-bs",
                "32",
                "--max-running-requests",
                "32",
                "--speculative-algo",
                "EAGLE",
                "--speculative-draft-model-path",
                "lmsys/DeepSeek-V3-0324-NextN",
                "--speculative-num-steps",
                "2",
                "--speculative-eagle-topk",
                "4",
                "--speculative-num-draft-tokens",
                "4",
            ],
        )

    @classmethod
    def tearDownClass(cls):
        kill_process_tree(cls.process.pid)

    def test_mmlu(self):
        args = SimpleNamespace(
            base_url=self.base_url,
            model=self.model,
            eval_name="mmlu",
            num_examples=64,
            num_threads=32,
        )

        metrics = run_eval(args)
        print(f"{metrics=}")
        self.assertGreater(metrics["score"], 0.48)


class Test41(CustomTestCase):
    @classmethod
    def setUpClass(cls):
        cls.model = DEFAULT_DEEPPEP_MODEL_NAME_FOR_TEST
        cls.base_url = DEFAULT_URL_FOR_TEST
        cls.process = popen_launch_server(
            cls.model,
            cls.base_url,
            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
            other_args=[
                "--trust-remote-code",
                "--tp",
                "8",
                "--enable-dp-attention",
                "--dp",
                "4",
                "--moe-a2a-backend",
                "deepep",
                "--cuda-graph-max-bs",
                "32",
                "--max-running-requests",
                "32",
                "--speculative-algo",
                "EAGLE",
                "--speculative-draft-model-path",
                "lmsys/DeepSeek-V3-0324-NextN",
                "--speculative-num-steps",
                "2",
                "--speculative-eagle-topk",
                "4",
                "--speculative-num-draft-tokens",
                "4",
            ],
        )

    @classmethod
    def tearDownClass(cls):
        kill_process_tree(cls.process.pid)

    def test_mmlu(self):
        args = SimpleNamespace(
            base_url=self.base_url,
            model=self.model,
            eval_name="mmlu",
            num_examples=64,
            num_threads=32,
        )

        metrics = run_eval(args)
        print(f"{metrics=}")
        self.assertGreater(metrics["score"], 0.48)


class Test42(CustomTestCase):
    @classmethod
    def setUpClass(cls):
        cls.model = DEFAULT_DEEPPEP_MODEL_NAME_FOR_TEST
        cls.base_url = DEFAULT_URL_FOR_TEST
        cls.process = popen_launch_server(
            cls.model,
            cls.base_url,
            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
            other_args=[
                "--trust-remote-code",
                "--tp",
                "8",
                "--enable-dp-attention",
                "--dp",
                "8",
                "--moe-a2a-backend",
                "deepep",
                "--cuda-graph-max-bs",
                "32",
                "--max-running-requests",
                "32",
                "--speculative-algo",
                "EAGLE",
                "--speculative-draft-model-path",
                "lmsys/DeepSeek-V3-0324-NextN",
                "--speculative-num-steps",
                "2",
                "--speculative-eagle-topk",
                "4",
                "--speculative-num-draft-tokens",
                "4",
            ],
        )

    @classmethod
    def tearDownClass(cls):
        kill_process_tree(cls.process.pid)

    def test_mmlu(self):
        args = SimpleNamespace(
            base_url=self.base_url,
            model=self.model,
            eval_name="mmlu",
            num_examples=64,
            num_threads=32,
        )

        metrics = run_eval(args)
        print(f"{metrics=}")
        self.assertGreater(metrics["score"], 0.48)


class Test43(CustomTestCase):
    @classmethod
    def setUpClass(cls):
        cls.model = DEFAULT_DEEPPEP_MODEL_NAME_FOR_TEST
        cls.base_url = DEFAULT_URL_FOR_TEST
        cls.process = popen_launch_server(
            cls.model,
            cls.base_url,
            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
            other_args=[
                "--trust-remote-code",
                "--tp",
                "8",
                "--moe-dense-tp-size",
                "1",
                "--moe-a2a-backend",
                "deepep",
                "--cuda-graph-max-bs",
                "32",
                "--max-running-requests",
                "32",
                "--speculative-algo",
                "EAGLE",
                "--speculative-draft-model-path",
                "lmsys/DeepSeek-V3-0324-NextN",
                "--speculative-num-steps",
                "2",
                "--speculative-eagle-topk",
                "4",
                "--speculative-num-draft-tokens",
                "4",
            ],
        )

    @classmethod
    def tearDownClass(cls):
        kill_process_tree(cls.process.pid)

    def test_mmlu(self):
        args = SimpleNamespace(
            base_url=self.base_url,
            model=self.model,
            eval_name="mmlu",
            num_examples=64,
            num_threads=32,
        )

        metrics = run_eval(args)
        print(f"{metrics=}")
        self.assertGreater(metrics["score"], 0.48)


class Test44(CustomTestCase):
    @classmethod
    def setUpClass(cls):
        cls.model = DEFAULT_DEEPPEP_MODEL_NAME_FOR_TEST
        cls.base_url = DEFAULT_URL_FOR_TEST
        cls.process = popen_launch_server(
            cls.model,
            cls.base_url,
            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
            other_args=[
                "--trust-remote-code",
                "--tp",
                "8",
                "--enable-dp-attention",
                "--dp",
                "4",
                "--moe-dense-tp-size",
                "1",
                "--moe-a2a-backend",
                "deepep",
                "--cuda-graph-max-bs",
                "32",
                "--max-running-requests",
                "32",
                "--speculative-algo",
                "EAGLE",
                "--speculative-draft-model-path",
                "lmsys/DeepSeek-V3-0324-NextN",
                "--speculative-num-steps",
                "2",
                "--speculative-eagle-topk",
                "4",
                "--speculative-num-draft-tokens",
                "4",
            ],
        )

    @classmethod
    def tearDownClass(cls):
        kill_process_tree(cls.process.pid)

    def test_mmlu(self):
        args = SimpleNamespace(
            base_url=self.base_url,
            model=self.model,
            eval_name="mmlu",
            num_examples=64,
            num_threads=32,
        )

        metrics = run_eval(args)
        print(f"{metrics=}")
        self.assertGreater(metrics["score"], 0.48)


class Test45(CustomTestCase):
    @classmethod
    def setUpClass(cls):
        cls.model = DEFAULT_DEEPPEP_MODEL_NAME_FOR_TEST
        cls.base_url = DEFAULT_URL_FOR_TEST
        cls.process = popen_launch_server(
            cls.model,
            cls.base_url,
            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
            other_args=[
                "--trust-remote-code",
                "--tp",
                "8",
                "--enable-dp-attention",
                "--dp",
                "8",
                "--moe-dense-tp-size",
                "1",
                "--moe-a2a-backend",
                "deepep",
                "--cuda-graph-max-bs",
                "32",
                "--max-running-requests",
                "32",
                "--speculative-algo",
                "EAGLE",
                "--speculative-draft-model-path",
                "lmsys/DeepSeek-V3-0324-NextN",
                "--speculative-num-steps",
                "2",
                "--speculative-eagle-topk",
                "4",
                "--speculative-num-draft-tokens",
                "4",
            ],
        )

    @classmethod
    def tearDownClass(cls):
        kill_process_tree(cls.process.pid)

    def test_mmlu(self):
        args = SimpleNamespace(
            base_url=self.base_url,
            model=self.model,
            eval_name="mmlu",
            num_examples=64,
            num_threads=32,
        )

        metrics = run_eval(args)
        print(f"{metrics=}")
        self.assertGreater(metrics["score"], 0.48)


class Test46(CustomTestCase):
    @classmethod
    def setUpClass(cls):
        cls.model = DEFAULT_DEEPPEP_MODEL_NAME_FOR_TEST
        cls.base_url = DEFAULT_URL_FOR_TEST
        cls.process = popen_launch_server(
            cls.model,
            cls.base_url,
            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
            other_args=[
                "--trust-remote-code",
                "--tp",
                "8",
                "--enable-dp-attention",
                "--dp",
                "4",
                "--enable-dp-lm-head",
                "--moe-a2a-backend",
                "deepep",
                "--cuda-graph-max-bs",
                "32",
                "--max-running-requests",
                "32",
                "--speculative-algo",
                "EAGLE",
                "--speculative-draft-model-path",
                "lmsys/DeepSeek-V3-0324-NextN",
                "--speculative-num-steps",
                "2",
                "--speculative-eagle-topk",
                "4",
                "--speculative-num-draft-tokens",
                "4",
            ],
        )

    @classmethod
    def tearDownClass(cls):
        kill_process_tree(cls.process.pid)

    def test_mmlu(self):
        args = SimpleNamespace(
            base_url=self.base_url,
            model=self.model,
            eval_name="mmlu",
            num_examples=64,
            num_threads=32,
        )

        metrics = run_eval(args)
        print(f"{metrics=}")
        self.assertGreater(metrics["score"], 0.48)


class Test47(CustomTestCase):
    @classmethod
    def setUpClass(cls):
        cls.model = DEFAULT_DEEPPEP_MODEL_NAME_FOR_TEST
        cls.base_url = DEFAULT_URL_FOR_TEST
        cls.process = popen_launch_server(
            cls.model,
            cls.base_url,
            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
            other_args=[
                "--trust-remote-code",
                "--tp",
                "8",
                "--enable-dp-attention",
                "--dp",
                "8",
                "--enable-dp-lm-head",
                "--moe-a2a-backend",
                "deepep",
                "--cuda-graph-max-bs",
                "32",
                "--max-running-requests",
                "32",
                "--speculative-algo",
                "EAGLE",
                "--speculative-draft-model-path",
                "lmsys/DeepSeek-V3-0324-NextN",
                "--speculative-num-steps",
                "2",
                "--speculative-eagle-topk",
                "4",
                "--speculative-num-draft-tokens",
                "4",
            ],
        )

    @classmethod
    def tearDownClass(cls):
        kill_process_tree(cls.process.pid)

    def test_mmlu(self):
        args = SimpleNamespace(
            base_url=self.base_url,
            model=self.model,
            eval_name="mmlu",
            num_examples=64,
            num_threads=32,
        )

        metrics = run_eval(args)
        print(f"{metrics=}")
        self.assertGreater(metrics["score"], 0.48)


class Test48(CustomTestCase):
    @classmethod
    def setUpClass(cls):
        cls.model = DEFAULT_DEEPPEP_MODEL_NAME_FOR_TEST
        cls.base_url = DEFAULT_URL_FOR_TEST
        cls.process = popen_launch_server(
            cls.model,
            cls.base_url,
            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
            other_args=[
                "--trust-remote-code",
                "--tp",
                "8",
                "--enable-dp-attention",
                "--dp",
                "4",
                "--moe-dense-tp-size",
                "1",
                "--enable-dp-lm-head",
                "--moe-a2a-backend",
                "deepep",
                "--cuda-graph-max-bs",
                "32",
                "--max-running-requests",
                "32",
                "--speculative-algo",
                "EAGLE",
                "--speculative-draft-model-path",
                "lmsys/DeepSeek-V3-0324-NextN",
                "--speculative-num-steps",
                "2",
                "--speculative-eagle-topk",
                "4",
                "--speculative-num-draft-tokens",
                "4",
            ],
        )

    @classmethod
    def tearDownClass(cls):
        kill_process_tree(cls.process.pid)

    def test_mmlu(self):
        args = SimpleNamespace(
            base_url=self.base_url,
            model=self.model,
            eval_name="mmlu",
            num_examples=64,
            num_threads=32,
        )

        metrics = run_eval(args)
        print(f"{metrics=}")
        self.assertGreater(metrics["score"], 0.48)


class Test49(CustomTestCase):
    @classmethod
    def setUpClass(cls):
        cls.model = DEFAULT_DEEPPEP_MODEL_NAME_FOR_TEST
        cls.base_url = DEFAULT_URL_FOR_TEST
        cls.process = popen_launch_server(
            cls.model,
            cls.base_url,
            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
            other_args=[
                "--trust-remote-code",
                "--tp",
                "8",
                "--enable-dp-attention",
                "--dp",
                "8",
                "--moe-dense-tp-size",
                "1",
                "--enable-dp-lm-head",
                "--moe-a2a-backend",
                "deepep",
                "--cuda-graph-max-bs",
                "32",
                "--max-running-requests",
                "32",
                "--speculative-algo",
                "EAGLE",
                "--speculative-draft-model-path",
                "lmsys/DeepSeek-V3-0324-NextN",
                "--speculative-num-steps",
                "2",
                "--speculative-eagle-topk",
                "4",
                "--speculative-num-draft-tokens",
                "4",
            ],
        )

    @classmethod
    def tearDownClass(cls):
        kill_process_tree(cls.process.pid)

    def test_mmlu(self):
        args = SimpleNamespace(
            base_url=self.base_url,
            model=self.model,
            eval_name="mmlu",
            num_examples=64,
            num_threads=32,
        )

        metrics = run_eval(args)
        print(f"{metrics=}")
        self.assertGreater(metrics["score"], 0.48)


class Test50(CustomTestCase):
    @classmethod
    def setUpClass(cls):
        cls.model = DEFAULT_DEEPPEP_MODEL_NAME_FOR_TEST
        cls.base_url = DEFAULT_URL_FOR_TEST
        cls.process = popen_launch_server(
            cls.model,
            cls.base_url,
            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
            other_args=[
                "--trust-remote-code",
                "--tp",
                "8",
                "--ep",
                "8",
                "--speculative-algo",
                "EAGLE",
                "--speculative-draft-model-path",
                "lmsys/DeepSeek-V3-0324-NextN",
                "--speculative-num-steps",
                "2",
                "--speculative-eagle-topk",
                "4",
                "--speculative-num-draft-tokens",
                "4",
            ],
        )

    @classmethod
    def tearDownClass(cls):
        kill_process_tree(cls.process.pid)

    def test_mmlu(self):
        args = SimpleNamespace(
            base_url=self.base_url,
            model=self.model,
            eval_name="mmlu",
            num_examples=64,
            num_threads=32,
        )

        metrics = run_eval(args)
        print(f"{metrics=}")
        self.assertGreater(metrics["score"], 0.48)


class Test51(CustomTestCase):
    @classmethod
    def setUpClass(cls):
        cls.model = DEFAULT_DEEPPEP_MODEL_NAME_FOR_TEST
        cls.base_url = DEFAULT_URL_FOR_TEST
        cls.process = popen_launch_server(
            cls.model,
            cls.base_url,
            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
            other_args=[
                "--trust-remote-code",
                "--tp",
                "8",
                "--enable-dp-attention",
                "--dp",
                "4",
                "--ep",
                "8",
                "--speculative-algo",
                "EAGLE",
                "--speculative-draft-model-path",
                "lmsys/DeepSeek-V3-0324-NextN",
                "--speculative-num-steps",
                "2",
                "--speculative-eagle-topk",
                "4",
                "--speculative-num-draft-tokens",
                "4",
            ],
        )

    @classmethod
    def tearDownClass(cls):
        kill_process_tree(cls.process.pid)

    def test_mmlu(self):
        args = SimpleNamespace(
            base_url=self.base_url,
            model=self.model,
            eval_name="mmlu",
            num_examples=64,
            num_threads=32,
        )

        metrics = run_eval(args)
        print(f"{metrics=}")
        self.assertGreater(metrics["score"], 0.48)


class Test52(CustomTestCase):
    @classmethod
    def setUpClass(cls):
        cls.model = DEFAULT_DEEPPEP_MODEL_NAME_FOR_TEST
        cls.base_url = DEFAULT_URL_FOR_TEST
        cls.process = popen_launch_server(
            cls.model,
            cls.base_url,
            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
            other_args=[
                "--trust-remote-code",
                "--tp",
                "8",
                "--enable-dp-attention",
                "--dp",
                "8",
                "--ep",
                "8",
                "--speculative-algo",
                "EAGLE",
                "--speculative-draft-model-path",
                "lmsys/DeepSeek-V3-0324-NextN",
                "--speculative-num-steps",
                "2",
                "--speculative-eagle-topk",
                "4",
                "--speculative-num-draft-tokens",
                "4",
            ],
        )

    @classmethod
    def tearDownClass(cls):
        kill_process_tree(cls.process.pid)

    def test_mmlu(self):
        args = SimpleNamespace(
            base_url=self.base_url,
            model=self.model,
            eval_name="mmlu",
            num_examples=64,
            num_threads=32,
        )

        metrics = run_eval(args)
        print(f"{metrics=}")
        self.assertGreater(metrics["score"], 0.48)


class Test53(CustomTestCase):
    @classmethod
    def setUpClass(cls):
        cls.model = DEFAULT_DEEPPEP_MODEL_NAME_FOR_TEST
        cls.base_url = DEFAULT_URL_FOR_TEST
        cls.process = popen_launch_server(
            cls.model,
            cls.base_url,
            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
            other_args=[
                "--trust-remote-code",
                "--tp",
                "8",
                "--moe-dense-tp-size",
                "1",
                "--ep",
                "8",
                "--speculative-algo",
                "EAGLE",
                "--speculative-draft-model-path",
                "lmsys/DeepSeek-V3-0324-NextN",
                "--speculative-num-steps",
                "2",
                "--speculative-eagle-topk",
                "4",
                "--speculative-num-draft-tokens",
                "4",
            ],
        )

    @classmethod
    def tearDownClass(cls):
        kill_process_tree(cls.process.pid)

    def test_mmlu(self):
        args = SimpleNamespace(
            base_url=self.base_url,
            model=self.model,
            eval_name="mmlu",
            num_examples=64,
            num_threads=32,
        )

        metrics = run_eval(args)
        print(f"{metrics=}")
        self.assertGreater(metrics["score"], 0.48)


class Test54(CustomTestCase):
    @classmethod
    def setUpClass(cls):
        cls.model = DEFAULT_DEEPPEP_MODEL_NAME_FOR_TEST
        cls.base_url = DEFAULT_URL_FOR_TEST
        cls.process = popen_launch_server(
            cls.model,
            cls.base_url,
            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
            other_args=[
                "--trust-remote-code",
                "--tp",
                "8",
                "--enable-dp-attention",
                "--dp",
                "4",
                "--moe-dense-tp-size",
                "1",
                "--ep",
                "8",
                "--speculative-algo",
                "EAGLE",
                "--speculative-draft-model-path",
                "lmsys/DeepSeek-V3-0324-NextN",
                "--speculative-num-steps",
                "2",
                "--speculative-eagle-topk",
                "4",
                "--speculative-num-draft-tokens",
                "4",
            ],
        )

    @classmethod
    def tearDownClass(cls):
        kill_process_tree(cls.process.pid)

    def test_mmlu(self):
        args = SimpleNamespace(
            base_url=self.base_url,
            model=self.model,
            eval_name="mmlu",
            num_examples=64,
            num_threads=32,
        )

        metrics = run_eval(args)
        print(f"{metrics=}")
        self.assertGreater(metrics["score"], 0.48)


class Test55(CustomTestCase):
    @classmethod
    def setUpClass(cls):
        cls.model = DEFAULT_DEEPPEP_MODEL_NAME_FOR_TEST
        cls.base_url = DEFAULT_URL_FOR_TEST
        cls.process = popen_launch_server(
            cls.model,
            cls.base_url,
            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
            other_args=[
                "--trust-remote-code",
                "--tp",
                "8",
                "--enable-dp-attention",
                "--dp",
                "8",
                "--moe-dense-tp-size",
                "1",
                "--ep",
                "8",
                "--speculative-algo",
                "EAGLE",
                "--speculative-draft-model-path",
                "lmsys/DeepSeek-V3-0324-NextN",
                "--speculative-num-steps",
                "2",
                "--speculative-eagle-topk",
                "4",
                "--speculative-num-draft-tokens",
                "4",
            ],
        )

    @classmethod
    def tearDownClass(cls):
        kill_process_tree(cls.process.pid)

    def test_mmlu(self):
        args = SimpleNamespace(
            base_url=self.base_url,
            model=self.model,
            eval_name="mmlu",
            num_examples=64,
            num_threads=32,
        )

        metrics = run_eval(args)
        print(f"{metrics=}")
        self.assertGreater(metrics["score"], 0.48)


class Test56(CustomTestCase):
    @classmethod
    def setUpClass(cls):
        cls.model = DEFAULT_DEEPPEP_MODEL_NAME_FOR_TEST
        cls.base_url = DEFAULT_URL_FOR_TEST
        cls.process = popen_launch_server(
            cls.model,
            cls.base_url,
            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
            other_args=[
                "--trust-remote-code",
                "--tp",
                "8",
                "--enable-dp-attention",
                "--dp",
                "4",
                "--enable-dp-lm-head",
                "--ep",
                "8",
                "--speculative-algo",
                "EAGLE",
                "--speculative-draft-model-path",
                "lmsys/DeepSeek-V3-0324-NextN",
                "--speculative-num-steps",
                "2",
                "--speculative-eagle-topk",
                "4",
                "--speculative-num-draft-tokens",
                "4",
            ],
        )

    @classmethod
    def tearDownClass(cls):
        kill_process_tree(cls.process.pid)

    def test_mmlu(self):
        args = SimpleNamespace(
            base_url=self.base_url,
            model=self.model,
            eval_name="mmlu",
            num_examples=64,
            num_threads=32,
        )

        metrics = run_eval(args)
        print(f"{metrics=}")
        self.assertGreater(metrics["score"], 0.48)


class Test57(CustomTestCase):
    @classmethod
    def setUpClass(cls):
        cls.model = DEFAULT_DEEPPEP_MODEL_NAME_FOR_TEST
        cls.base_url = DEFAULT_URL_FOR_TEST
        cls.process = popen_launch_server(
            cls.model,
            cls.base_url,
            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
            other_args=[
                "--trust-remote-code",
                "--tp",
                "8",
                "--enable-dp-attention",
                "--dp",
                "8",
                "--enable-dp-lm-head",
                "--ep",
                "8",
                "--speculative-algo",
                "EAGLE",
                "--speculative-draft-model-path",
                "lmsys/DeepSeek-V3-0324-NextN",
                "--speculative-num-steps",
                "2",
                "--speculative-eagle-topk",
                "4",
                "--speculative-num-draft-tokens",
                "4",
            ],
        )

    @classmethod
    def tearDownClass(cls):
        kill_process_tree(cls.process.pid)

    def test_mmlu(self):
        args = SimpleNamespace(
            base_url=self.base_url,
            model=self.model,
            eval_name="mmlu",
            num_examples=64,
            num_threads=32,
        )

        metrics = run_eval(args)
        print(f"{metrics=}")
        self.assertGreater(metrics["score"], 0.48)


class Test58(CustomTestCase):
    @classmethod
    def setUpClass(cls):
        cls.model = DEFAULT_DEEPPEP_MODEL_NAME_FOR_TEST
        cls.base_url = DEFAULT_URL_FOR_TEST
        cls.process = popen_launch_server(
            cls.model,
            cls.base_url,
            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
            other_args=[
                "--trust-remote-code",
                "--tp",
                "8",
                "--enable-dp-attention",
                "--dp",
                "4",
                "--moe-dense-tp-size",
                "1",
                "--enable-dp-lm-head",
                "--ep",
                "8",
                "--speculative-algo",
                "EAGLE",
                "--speculative-draft-model-path",
                "lmsys/DeepSeek-V3-0324-NextN",
                "--speculative-num-steps",
                "2",
                "--speculative-eagle-topk",
                "4",
                "--speculative-num-draft-tokens",
                "4",
            ],
        )

    @classmethod
    def tearDownClass(cls):
        kill_process_tree(cls.process.pid)

    def test_mmlu(self):
        args = SimpleNamespace(
            base_url=self.base_url,
            model=self.model,
            eval_name="mmlu",
            num_examples=64,
            num_threads=32,
        )

        metrics = run_eval(args)
        print(f"{metrics=}")
        self.assertGreater(metrics["score"], 0.48)


class Test59(CustomTestCase):
    @classmethod
    def setUpClass(cls):
        cls.model = DEFAULT_DEEPPEP_MODEL_NAME_FOR_TEST
        cls.base_url = DEFAULT_URL_FOR_TEST
        cls.process = popen_launch_server(
            cls.model,
            cls.base_url,
            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
            other_args=[
                "--trust-remote-code",
                "--tp",
                "8",
                "--enable-dp-attention",
                "--dp",
                "8",
                "--moe-dense-tp-size",
                "1",
                "--enable-dp-lm-head",
                "--ep",
                "8",
                "--speculative-algo",
                "EAGLE",
                "--speculative-draft-model-path",
                "lmsys/DeepSeek-V3-0324-NextN",
                "--speculative-num-steps",
                "2",
                "--speculative-eagle-topk",
                "4",
                "--speculative-num-draft-tokens",
                "4",
            ],
        )

    @classmethod
    def tearDownClass(cls):
        kill_process_tree(cls.process.pid)

    def test_mmlu(self):
        args = SimpleNamespace(
            base_url=self.base_url,
            model=self.model,
            eval_name="mmlu",
            num_examples=64,
            num_threads=32,
        )

        metrics = run_eval(args)
        print(f"{metrics=}")
        self.assertGreater(metrics["score"], 0.48)


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