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Sleeping
| from reward import compute_reward | |
| def test_keyword_stuffing_not_full_score(): | |
| expected = { | |
| "issues": ["time management", "numericals"], | |
| "must_include": ["time", "mock"], | |
| "plan_features": ["timed practice", "prioritization", "mock tests"], | |
| } | |
| constraints = {"exam_in_days": 5, "time_per_day": "2 hours"} | |
| stuffed = "summary diagnosis plan constraints time mock timed practice prioritization mock tests numericals days 2 hours time time time time" | |
| score = compute_reward(stuffed, expected, constraints=constraints)["score"] | |
| assert score < 1.0 | |
| def test_structured_answer_scores_better_than_unstructured(): | |
| expected = {"concepts": ["fractions", "division"], "summary_points": ["basic math confusion"]} | |
| constraints = {} | |
| structured = "Summary: confusion in fractions.\nDiagnosis: division procedure gap.\nPlan: practice worked examples.\nConstraints: none." | |
| unstructured = "fractions division confusion practice" | |
| structured_score = compute_reward(structured, expected, constraints=constraints)["score"] | |
| unstructured_score = compute_reward(unstructured, expected, constraints=constraints)["score"] | |
| assert structured_score > unstructured_score | |