Remove legacy event and mixed distribution paths

tests/test_calibration_metrics.py

@@ -207,19 +207,15 @@ class IPCWCalibrationMetricTests(unittest.TestCase):
         rho = np.asarray([0.8, 1.0, 1.2, 1.5], dtype=np.float32)
         horizons = np.asarray([0.1, 1.0, 5.0], dtype=np.float32)
 
-        for dist_mode, token, death_idx, selected_rho in (
-            ("exponential", 4, 9, None),
-            ("weibull", 4, 9, rho),
-            ("mixed", 9, 9, rho),
-            ("mixed", 4, 9, None),
+        for dist_mode, selected_rho in (
+            ("exponential", None),
+            ("weibull", rho),
         ):
             actual = _risk_probability_matrix(
                 logits=logits,
                 rho=selected_rho,
                 horizons=horizons,
                 dist_mode=dist_mode,
-                token=token,
-                death_idx=death_idx,
             )
             expected = np.vstack(
                 [
@@ -229,8 +225,6 @@ class IPCWCalibrationMetricTests(unittest.TestCase):
                         score_mode="risk",
                         horizon=float(horizon),
                         dist_mode=dist_mode,
-                        token=token,
-                        death_idx=death_idx,
                     )
                     for horizon in horizons
                 ]
@@ -271,7 +265,6 @@ class IPCWCalibrationMetricTests(unittest.TestCase):
             "label_id_to_code": {4: "D4", 5: "D5"},
             "dist_mode": "exponential",
             "horizons": np.asarray([1.0, 5.0], dtype=np.float32),
-            "death_index": 9,
             "min_cases": 1,
             "min_controls": 1,
             "max_ipcw_weight": 0.0,