import importlib.util import unittest from pathlib import Path MODULE_PATH = Path(__file__).with_name("audit_ground_truth.py") SPEC = importlib.util.spec_from_file_location("audit_ground_truth", MODULE_PATH) audit = importlib.util.module_from_spec(SPEC) assert SPEC.loader is not None SPEC.loader.exec_module(audit) class AuditGroundTruthTest(unittest.TestCase): def test_case_summary_exposes_tied_top_set(self): rows = [ { "cell_id": "a", "score_req_s_per_gpu": 2.0, "capacity_lower_bound_req_s_per_gpu": 2.0, "capacity_upper_bound_req_s_per_gpu": 2.1, "fully_valid": True, }, { "cell_id": "b", "score_req_s_per_gpu": 2.0, "capacity_lower_bound_req_s_per_gpu": 2.0, "capacity_upper_bound_req_s_per_gpu": 2.2, "fully_valid": True, }, { "cell_id": "c", "score_req_s_per_gpu": 1.0, "capacity_lower_bound_req_s_per_gpu": 1.0, "capacity_upper_bound_req_s_per_gpu": 1.5, "fully_valid": False, }, ] summary = audit.summarize_case("test", rows) self.assertEqual(summary["top_set"], ["a", "b"]) self.assertEqual(summary["distinct_score_count"], 2) self.assertEqual(summary["tied_pair_count"], 1) self.assertEqual(summary["informative_pair_count"], 2) self.assertAlmostEqual(summary["random_top_set_hit_rate"], 2 / 3) self.assertEqual(summary["invalid_cells"], ["c"]) self.assertEqual( summary["possibly_optimal_set_from_search_brackets"], ["a", "b"] ) def test_config_gpu_count_includes_data_parallelism(self): result = { "config_patch": { "flag_patch": { "tensor-parallel-size": 2, "data-parallel-size": 4, "expert-parallel-size": 8, "max-num-seqs": 128, "max-num-batched-tokens": 384, } } } config = audit.config_from_result(result) self.assertEqual(config["gpu_count"], 8) self.assertEqual(audit.cell_id(config), "tp2_dp4_ep8_mns128_mbt384") if __name__ == "__main__": unittest.main()