diff --git a/scripts/aviti_run_parameter_parser.py b/scripts/aviti_run_parameter_parser.py
index 1c7a85fc..19bd402a 100644
--- a/scripts/aviti_run_parameter_parser.py
+++ b/scripts/aviti_run_parameter_parser.py
@@ -162,18 +162,24 @@ def set_run_stats(process, run_dir):
     for art in process.all_outputs():
         if "Lane" in art.name:
             lane_nbr = int(art.name.split(" ")[1])
-            lane_stats = next(d for d in run_stats["LaneStats"] if d["Lane"] == lane_nbr)
+            lane_stats = next(
+                d for d in run_stats["LaneStats"] if d["Lane"] == lane_nbr
+            )
         for read in lane_stats["Reads"]:
             read_key = read["Read"]
             art.udf[f"Reads PF (M) {read_key}"] = lane_stats["PFCount"] / 1000000
             art.udf[f"%PF {read_key}"] = lane_stats["PercentPF"]
-            art.udf[f"Yield PF (Gb) {read_key}"] = (
-                lane_stats["TotalYield"] / 1000000000
-            )
+            art.udf[f"Yield PF (Gb) {read_key}"] = lane_stats["TotalYield"] / 1000000000
             art.udf[f"% Aligned {read_key}"] = read["PhiXAlignmentRate"]
-            art.udf[f"% Bases >=Q30 {read_key}"] = calculate_mean(read["Cycles"], "PercentQ30")
-            art.udf[f"% Bases >=Q40 {read_key}"] = calculate_mean(read["Cycles"], "PercentQ40")
-            art.udf[f"Avg Q Score {read_key}"] = calculate_mean(read["Cycles"], "AverageQScore")
+            art.udf[f"% Bases >=Q30 {read_key}"] = calculate_mean(
+                read["Cycles"], "PercentQ30"
+            )
+            art.udf[f"% Bases >=Q40 {read_key}"] = calculate_mean(
+                read["Cycles"], "PercentQ40"
+            )
+            art.udf[f"Avg Q Score {read_key}"] = calculate_mean(
+                read["Cycles"], "AverageQScore"
+            )
             art.udf[f"% Error Rate {read_key}"] = calculate_mean(
                 read["Cycles"], "PercentPhixErrorRate"
             )