diff --git a/engine.py b/engine.py
index 4dea71a..50777ae 100755
--- a/engine.py
+++ b/engine.py
@@ -6,6 +6,7 @@ import overpy
 import numpy as np
 import pandas as pd
 import scipy
+# import random
 
 from pathlib import Path
 
@@ -17,8 +18,8 @@ BRANDS: dict[str, str] = {
 
 CACHE_FOLDER = Path(".cache")
 
-LOCS_COUNT = 4
-DISTS_COUNT = 10
+LOCS_COUNT = 5
+DISTS_COUNT = 5
 
 FORMAT_FACTOR = 1e6  # μm
 FIRST_SEP = ':'
@@ -138,14 +139,15 @@ def trilaterate(stations: list[StationT], disp: bool = False) -> tuple[float, fl
 
     res = scipy.optimize.minimize(
         lambda pos: trilat_error(stations, pos),
-        stations[0][0],
+        # stations[0][0],
+        (0.0, 0.0),
         method='Nelder-Mead',
     )
 
-    if res.success:
-        return res.x
-    else:
-        raise ValueError("Optimisation failed.")
+    if not res.success:
+        print("WARNING: Optimisation failed.")
+
+    return res.x
 
 
 def encode_greggs(loc: int) -> list[float]:
@@ -182,6 +184,13 @@ def encode(location: tuple[float, float]) -> EncodedLocation:
 
     return [(v, encode_greggs(i)) for v, i in zip(closest.values, closest.index)]
 
+    # distances = spherical_dist(repeated, greggs)
+    # distances_i = [(i, dist) for i, dist in enumerate(distances)]
+    # random.shuffle(distances_i)
+    # closest = distances_i[:LOCS_COUNT]
+
+    # return [(v, encode_greggs(i)) for i, v in closest]
+
 
 def decode(location: EncodedLocation, disp: bool = False) -> tuple[float, float]:
     """Decode into a location."""