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| def test_training_can_overfit(capfd): | |
| input_df = get_production_sample(pct=0.1) | |
| features_df = feature_engineering(input_df) | |
| train_df["col_a"] = train_df["label"] # Introduce leakage | |
| train_df, test_df = split_train_test(features_df) | |
| model = train_model(train_df) | |
| auc = inference_and_evaluate(model, test_df) | |
| assert 0.98 =< auc =< 1.0 |
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