| You are an agent, your current working directory is /app. |
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| You can use the tools available to you to interact with the computer to assist the user in completing tasks. |
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| # Repair campaign-outcome validation in uplift evaluation |
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| Work in `/app/vendor/scikit-uplift`, a frozen source tree for a real marketing uplift library. Its treatment-aware metrics correctly require two binary campaign arms, but malformed non-binary response outcomes currently flow into incrementality calculations and plots. |
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| Diagnose and repair the existing implementation. The repair must be made in both `sklift/metrics/metrics.py` and `sklift/viz/base.py`; do not replace the library with a separate evaluator, coerce response values, or special-case the supplied fixture. |
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| The public behavior is: |
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| - Every metric entry point that accepts `y_true` must reject response arrays containing values outside binary `0` and `1` with `ValueError` before computing cohort statistics. |
| - Every plotting entry point that accepts `y_true` must perform the same validation locally, before delegating to metric helpers or constructing misleading diagnostics. |
| - Existing consistent-length validation and binary treatment validation must remain in force. |
| - Valid binary campaigns must retain the existing model, uplift/Qini curve, AUC, percentile, and plotting behavior. |
| - Keep the frozen source and existing tests intact except for the two designated production modules. |
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| After repairing the source, run the supplied end-to-end workflow: |
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| ```sh |
| python3 /app/tools/run_campaign_evaluation.py --output /app/campaign_evaluation.json |
| ``` |
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| The command must complete offline. `/app/campaign_evaluation.json` must use `output_schema_version` `sklift.campaign-evaluation.v1`, record the three workflow stages, contain the valid campaign's model predictions, curves, scores, percentile table and plot titles, record each malformed campaign case as rejected with `ValueError`, and list the five source modules exercised by the workflow. |
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