224 lines
6.8 KiB
Python
224 lines
6.8 KiB
Python
import unittest
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from types import SimpleNamespace
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import requests
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from sglang.srt.environ import envs
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from sglang.srt.utils import kill_process_tree
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from sglang.test.ci.ci_register import register_cuda_ci
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from sglang.test.kits.radix_cache_server_kit import run_radix_attention_test
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from sglang.test.run_eval import run_eval
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from sglang.test.test_utils import (
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DEFAULT_DRAFT_MODEL_STANDALONE,
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DEFAULT_TARGET_MODEL_STANDALONE,
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DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
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DEFAULT_URL_FOR_TEST,
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CustomTestCase,
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popen_launch_server,
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)
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# Standalone speculative decoding tests (FA3, Triton, FlashInfer backends)
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register_cuda_ci(est_time=406, stage="stage-b", runner_config="1-gpu-large")
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GSM_DATASET_PATH = None
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# Default server arguments shared across all tests
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DEFAULT_SERVER_ARGS = [
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"--trust-remote-code",
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"--cuda-graph-max-bs",
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"8",
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"--speculative-algorithm",
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"STANDALONE",
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"--speculative-draft-model-path",
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DEFAULT_DRAFT_MODEL_STANDALONE,
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"--speculative-num-steps",
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"4",
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"--speculative-eagle-topk",
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"2",
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"--speculative-num-draft-tokens",
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"7",
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"--mem-fraction-static",
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0.7,
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]
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# Default server arguments for V2 tests
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DEFAULT_SERVER_ARGS_V2 = [
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"--trust-remote-code",
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"--cuda-graph-max-bs",
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"8",
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"--speculative-algorithm",
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"STANDALONE",
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"--speculative-draft-model-path",
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DEFAULT_DRAFT_MODEL_STANDALONE,
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"--speculative-num-steps",
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"4",
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"--speculative-eagle-topk",
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"1",
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"--speculative-num-draft-tokens",
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"5",
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"--mem-fraction-static",
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0.7,
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]
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class TestStandaloneSpeculativeDecodingBase(CustomTestCase):
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model = DEFAULT_TARGET_MODEL_STANDALONE
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draft_model = DEFAULT_DRAFT_MODEL_STANDALONE
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base_url = DEFAULT_URL_FOR_TEST
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accuracy_threshold = 0.69 # derived tests need to override this
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spec_decode_threshold = 3.6 # derived spec decoding tests need to override this
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@classmethod
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def get_server_args(cls):
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"""Return the arguments for the server launch. Override in subclasses."""
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return DEFAULT_SERVER_ARGS + ["--attention-backend", "fa3"]
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@classmethod
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def setUpClass(cls):
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# disable deep gemm precompile to make launch server faster
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# please don't do this if you want to make your inference workload faster
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envs.SGLANG_JIT_DEEPGEMM_PRECOMPILE.set(False)
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envs.SGLANG_ENABLE_JIT_DEEPGEMM.set(False)
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envs.SGLANG_ENABLE_SPEC_V2.set(False)
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model = cls.model
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cls.process = popen_launch_server(
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model,
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cls.base_url,
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timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
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other_args=cls.get_server_args(),
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)
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@classmethod
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def tearDownClass(cls):
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kill_process_tree(cls.process.pid)
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envs.SGLANG_ENABLE_SPEC_V2.clear()
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def test_gsm8k(self):
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requests.get(self.base_url + "/flush_cache")
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args = SimpleNamespace(
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base_url=self.base_url,
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model=self.model,
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eval_name="gsm8k",
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api="completion",
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max_tokens=512,
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num_examples=100,
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num_threads=128,
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num_shots=4,
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gsm8k_data_path=GSM_DATASET_PATH,
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)
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metrics = run_eval(args)
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print(f"{metrics=}")
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# Use the appropriate metric key based on the test class
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metric_key = "score"
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self.assertGreaterEqual(metrics[metric_key], self.accuracy_threshold)
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server_info = requests.get(self.base_url + "/server_info")
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avg_spec_accept_length = server_info.json()["internal_states"][0][
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"avg_spec_accept_length"
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]
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print(f"{avg_spec_accept_length=}")
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self.assertGreater(avg_spec_accept_length, self.spec_decode_threshold)
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class TestStandaloneV2SpeculativeDecodingBase(CustomTestCase):
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model = DEFAULT_TARGET_MODEL_STANDALONE
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draft_model = DEFAULT_DRAFT_MODEL_STANDALONE
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base_url = DEFAULT_URL_FOR_TEST
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accuracy_threshold = 0.69 # derived tests need to override this
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spec_decode_threshold = 3.6 # derived spec decoding tests need to override this
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@classmethod
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def get_server_args(cls):
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"""Return the arguments for the server launch. Override in subclasses."""
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return DEFAULT_SERVER_ARGS_V2 + ["--attention-backend", "fa3"]
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@classmethod
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def setUpClass(cls):
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# disable deep gemm precompile to make launch server faster
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# please don't do this if you want to make your inference workload faster
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envs.SGLANG_JIT_DEEPGEMM_PRECOMPILE.set(False)
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envs.SGLANG_ENABLE_JIT_DEEPGEMM.set(False)
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model = cls.model
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cls.process = popen_launch_server(
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model,
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cls.base_url,
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timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
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other_args=cls.get_server_args(),
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)
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@classmethod
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def tearDownClass(cls):
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kill_process_tree(cls.process.pid)
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def test_gsm8k(self):
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requests.get(self.base_url + "/flush_cache")
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args = SimpleNamespace(
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base_url=self.base_url,
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model=self.model,
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eval_name="gsm8k",
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api="completion",
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max_tokens=512,
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num_examples=100,
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num_threads=128,
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num_shots=4,
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gsm8k_data_path=GSM_DATASET_PATH,
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)
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metrics = run_eval(args)
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print(f"{metrics=}")
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# Use the appropriate metric key based on the test class
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metric_key = "score"
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self.assertGreaterEqual(metrics[metric_key], self.accuracy_threshold)
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server_info = requests.get(self.base_url + "/server_info")
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avg_spec_accept_length = server_info.json()["internal_states"][0][
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"avg_spec_accept_length"
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]
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print(f"{avg_spec_accept_length=}")
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self.assertGreater(avg_spec_accept_length, self.spec_decode_threshold)
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class TestStandaloneSpeculativeDecodingTriton(TestStandaloneSpeculativeDecodingBase):
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@classmethod
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def get_server_args(cls):
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return DEFAULT_SERVER_ARGS + ["--attention-backend", "triton"]
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class TestStandaloneSpeculativeDecodingFlashinfer(
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TestStandaloneSpeculativeDecodingBase
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):
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@classmethod
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def get_server_args(cls):
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return DEFAULT_SERVER_ARGS + ["--attention-backend", "flashinfer"]
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class TestStandaloneV2SpeculativeDecodingTriton(
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TestStandaloneV2SpeculativeDecodingBase
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):
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@classmethod
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def get_server_args(cls):
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return DEFAULT_SERVER_ARGS_V2 + ["--attention-backend", "triton"]
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def test_radix_attention(self):
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run_radix_attention_test(self.base_url)
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assert self.process.poll() is None
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class TestStandaloneV2SpeculativeDecodingFlashinfer(
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TestStandaloneV2SpeculativeDecodingBase
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):
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@classmethod
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def get_server_args(cls):
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return DEFAULT_SERVER_ARGS_V2 + ["--attention-backend", "flashinfer"]
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if __name__ == "__main__":
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unittest.main()
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