| """Tests for AdaptiveInterviewEnv. |
| |
| Teammate 1 owns this file. |
| """ |
| import pytest |
| from hypothesis import given, settings |
| import hypothesis.strategies as st |
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| @settings(max_examples=100) |
| @given(seed=st.one_of(st.integers(), st.none())) |
| def test_reset_initializes_skill_profile_to_0_5(seed): |
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| pass |
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| |
| @settings(max_examples=100) |
| @given(seed=st.integers()) |
| def test_seeded_reset_is_deterministic(seed): |
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| pass |
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| |
| @settings(max_examples=100) |
| @given(action=st.fixed_dictionaries({ |
| "correctness": st.floats(0.0, 1.0), |
| "edge_case_coverage": st.floats(0.0, 1.0), |
| "complexity_analysis": st.floats(0.0, 1.0), |
| "tradeoff_reasoning": st.floats(0.0, 1.0), |
| "communication_clarity": st.floats(0.0, 1.0), |
| })) |
| def test_step_returns_valid_tuple_for_valid_action(action): |
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| pass |
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| |
| def test_step_raises_value_error_for_malformed_action(): |
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| pass |
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| def test_skill_profile_values_always_in_range(): |
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| pass |
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| def test_skill_profile_history_length_equals_step_count(): |
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| pass |
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| def test_info_contains_reward_component_keys(): |
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| pass |
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| |
| @settings(max_examples=100) |
| @given(rewards=st.lists(st.floats(-1.0, 1.0), min_size=1, max_size=200)) |
| def test_metrics_rolling_mean_correctness(rewards): |
| |
| pass |
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|