[GRASS-SVN] r73066 - grass-addons/grass7/raster/r.in.pdal
svn_grass at osgeo.org
svn_grass at osgeo.org
Wed Aug 8 19:02:15 PDT 2018
Author: wenzeslaus
Date: 2018-08-08 19:02:15 -0700 (Wed, 08 Aug 2018)
New Revision: 73066
Modified:
grass-addons/grass7/raster/r.in.pdal/r.in.pdal.py
Log:
r.in.pdal: improve formatting of header and module parser info
Consistent use of spaces. No extra indent. No tabs.
Modified: grass-addons/grass7/raster/r.in.pdal/r.in.pdal.py
===================================================================
--- grass-addons/grass7/raster/r.in.pdal/r.in.pdal.py 2018-08-09 01:57:48 UTC (rev 73065)
+++ grass-addons/grass7/raster/r.in.pdal/r.in.pdal.py 2018-08-09 02:02:15 UTC (rev 73066)
@@ -2,30 +2,30 @@
############################################################################
#
-# MODULE: r.in.pdal
+# MODULE: r.in.pdal
#
-# AUTHOR(S): Anika Bettge <bettge at mundialis.de>
-# Thanks to Markus Neteler <neteler at mundialis.de> for help
+# AUTHOR(S): Anika Bettge <bettge at mundialis.de>
+# Thanks to Markus Neteler <neteler at mundialis.de> for help
#
-# PURPOSE: Creates a raster map from LAS LiDAR points using univariate statistics and r.in.xyz.
+# PURPOSE: Creates a raster map from LAS LiDAR points using univariate statistics and r.in.xyz.
#
-# COPYRIGHT: (C) 2018 by mundialis and the GRASS Development Team
+# COPYRIGHT: (C) 2018 by mundialis and the GRASS Development Team
#
-# This program is free software under the GNU General Public
-# License (>=v2). Read the file COPYING that comes with GRASS
-# for details.
+# This program is free software under the GNU General Public
+# License (>=v2). Read the file COPYING that comes with GRASS
+# for details.
#
#############################################################################
-#%Module
-#%description: Creates a raster map from LAS LiDAR points using univariate statistics and r.in.xyz.
-#%keyword: raster
-#%keyword: import
-#%keyword: LIDAR
-#%keyword: statistics
-#%keyword: conversion
-#%overwrite: yes
-#%End
+#%module
+#% description: Creates a raster map from LAS LiDAR points using univariate statistics and r.in.xyz.
+#% keyword: raster
+#% keyword: import
+#% keyword: LIDAR
+#% keyword: statistics
+#% keyword: conversion
+#% overwrite: yes
+#%end
#%option G_OPT_R_INPUT
#% key: input
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