Alternative approach

since otherwise it complains about the vars not being defined
later

src/fire_inputgen.py

@@ -645,6 +645,7 @@ def main_driver(initial_hour, forecast_hour, f_input, f_output, lat_lim, lon_lim
     lw[lw == 0] = np.nan
 
     # fire frame
+    INPUTFRAME = LATFRAME = LONFRAME = None
     for j in np.arange(1, num + 1, 1):
         total = total + 1
         index = np.argwhere(lw == j)
@@ -680,22 +681,10 @@ def main_driver(initial_hour, forecast_hour, f_input, f_output, lat_lim, lon_lim
             loc[0] - fsize : loc[0] + fsize + 1, loc[1] - fsize : loc[1] + fsize + 1
         ]
 
-        if "INPUTFRAME" in locals():
-            INPUTFRAME = np.append(
-                INPUTFRAME,
-                np.expand_dims(X_fire, axis=0),
-                axis=0,
-            )  # noqa: F821
-            LATFRAME = np.append(
-                LATFRAME,
-                np.expand_dims(X_lat, axis=0),
-                axis=0,
-            )  # noqa: F821
-            LONFRAME = np.append(
-                LONFRAME,
-                np.expand_dims(X_lon, axis=0),
-                axis=0,
-            )  # noqa: F821
+        if INPUTFRAME is not None:
+            INPUTFRAME = np.append(INPUTFRAME, np.expand_dims(X_fire, axis=0), axis=0)
+            LATFRAME = np.append(LATFRAME, np.expand_dims(X_lat, axis=0), axis=0)
+            LONFRAME = np.append(LONFRAME, np.expand_dims(X_lon, axis=0), axis=0)
         else:
             INPUTFRAME = np.expand_dims(X_fire, axis=0)
             LATFRAME = np.expand_dims(X_lat, axis=0)