linting, rm Doku_hints

mundialis · Oct 23, 2024 · fdeb7bd · fdeb7bd
1 parent 892941d
commit fdeb7bd
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Showing 3 changed files with 7 additions and 29 deletions.
diff --git a/Doku_hints.md b/Doku_hints.md
diff --git a/grass-gis-addons/m.analyse.trees/r.trees.mltrain/r.trees.mltrain.py b/grass-gis-addons/m.analyse.trees/r.trees.mltrain/r.trees.mltrain.py
@@ -165,6 +165,7 @@ def cleanup():
             grass.run_command("g.remove", type="raster", name=rmrast, **kwargs)
     grass.del_temp_region()
 
+
 def numsamplecheck(number_samples, rastername):
     raster_samples = int(grass.parse_command("r.univar", map=rastername, flags="g")["n"])
     if number_samples > raster_samples:
@@ -176,6 +177,7 @@ def numsamplecheck(number_samples, rastername):
         number_samples = raster_samples
     return number_samples
 
+
 def main():
     global rm_rasters, tmp_mask_old
 

diff --git a/grass-gis-addons/m.analyse.trees/r.trees.traindata/r.trees.traindata.py b/grass-gis-addons/m.analyse.trees/r.trees.traindata/r.trees.traindata.py
@@ -4,10 +4,10 @@
 #
 # MODULE:       r.trees.traindata
 #
-# AUTHOR(S):    Markus Metz, Lina Krisztian, Guido Riembauer, 
+# AUTHOR(S):    Markus Metz, Lina Krisztian, Guido Riembauer,
 #               Victoria-Leandra Brunn
 #
-# PURPOSE:     Creates a preliminary tree map for random forest classification 
+# PURPOSE:     Creates a preliminary tree map for random forest classification
 #              and/or post processing.
 #
 # COPYRIGHT:    (C) 2023 - 2024 by mundialis and the GRASS Development Team
@@ -317,13 +317,12 @@ def main():
     if options["trees_pixel_ndvi"]:
         trees_pixel_ndvi = options["trees_pixel_ndvi"]
     else:
-         trees_pixel_ndvi = "trees_pixel_ndvi"
-         rm_rasters.append(trees_pixel_ndvi)
+        trees_pixel_ndvi = "trees_pixel_ndvi"
+        rm_rasters.append(trees_pixel_ndvi)
 
     grass.mapcalc(
         f"{trees_pixel_ndvi} = if({ndvi_split}_max2 < {ndvi_threshold}, null(), {nearest})"
     )
-
 
     # cut to nir: all pixels below 100 are not vegetation
     # removes shadows with high ndvi e.g. on roofs
@@ -503,7 +502,7 @@ def main():
         grass.mapcalc(f"{options['traindata_r']} = if(isnull(trees_object_filt_large), null(), 2)")
         if not options["traindata_v"]:
             rm_vectors.append("trees_object_filt_large")
-        
+
     if options["traindata_v"]:
         grass.run_command(
             "g.rename",