diff --git a/xpublish_wms/grid.py b/xpublish_wms/grid.py
index b0001c8..9893cd6 100644
--- a/xpublish_wms/grid.py
+++ b/xpublish_wms/grid.py
@@ -100,7 +100,9 @@ def tessellate(self, da: xr.DataArray) -> np.ndarray:
         """Tessellate the given data array into triangles. Only required for RenderingMode.Triangle"""
         pass
 
-    def sel_lat_lng(self, subset: xr.Dataset, lng, lat, parameters) -> Tuple[xr.Dataset, list, list]:
+    def sel_lat_lng(
+        self, subset: xr.Dataset, lng, lat, parameters,
+    ) -> Tuple[xr.Dataset, list, list]:
         """Select the given dataset by the given lon/lat and optional elevation"""
         subset = subset.cf.interp(longitude=lng, latitude=lat)
         x_axis = [strip_float(subset.cf["longitude"])]
@@ -183,7 +185,9 @@ def project(self, da: xr.DataArray, crs: str) -> xr.DataArray:
             da = da.unify_chunks()
         return da
 
-    def sel_lat_lng(self, subset: xr.Dataset, lng, lat, parameters) -> Tuple[xr.Dataset, list, list]:
+    def sel_lat_lng(
+        self, subset: xr.Dataset, lng, lat, parameters,
+    ) -> Tuple[xr.Dataset, list, list]:
         topology = self.ds.cf["grid_topology"]
 
         merged_ds = None
@@ -515,7 +519,9 @@ def tessellate(self, da: xr.DataArray) -> np.ndarray:
         else:
             return self._grid.tessellate(da)
 
-    def sel_lat_lng(self, subset: xr.Dataset, lng, lat, parameters) -> Tuple[xr.Dataset, list, list]:
+    def sel_lat_lng(
+        self, subset: xr.Dataset, lng, lat, parameters,
+    ) -> Tuple[xr.Dataset, list, list]:
         if self._grid is None:
             return None
         else:
diff --git a/xpublish_wms/wms/get_feature_info.py b/xpublish_wms/wms/get_feature_info.py
index ce1f94c..c62018d 100644
--- a/xpublish_wms/wms/get_feature_info.py
+++ b/xpublish_wms/wms/get_feature_info.py
@@ -169,7 +169,9 @@ def get_feature_info(ds: xr.Dataset, query: dict) -> Response:
             selected_ds = selected_ds.cf.sel(vertical=0, method="nearest")
 
     try:
-        selected_ds, x_axis, y_axis = ds.grid.sel_lat_lng(subset=selected_ds, lng=x_coord[x], lat=y_coord[y], parameters=parameters)
+        selected_ds, x_axis, y_axis = ds.grid.sel_lat_lng(
+            subset=selected_ds, lng=x_coord[x], lat=y_coord[y], parameters=parameters,
+        )
     except ValueError:
         raise HTTPException(500, f"Unsupported grid type: {ds.grid.name}")