def compute_drift_correlation(X, y_true, drift_scores: dict):
    if not drift_scores:
        return {}

    failed_idx = y_true != y_true  # Dummy fallback
    failed = X[failed_idx]

    corr = {}
    for feat, drift_val in drift_scores.items():
        if feat in X.columns:
            # Placeholder logic
            corr[feat] = drift_val
    return corr
