v1.2

PreProcessing.py

@@ -4,6 +4,9 @@ import tensorflow as tf
 import norm
 
 Folder = './RawData' # Path to simulated shower packages
+if not os.path.exists('Data_preprocessed'):
+    os.makedirs('Data_preprocessed')
+
 log_dir = './Data_preprocessed' # Path to preprocessed shower packages
 filenames =glob.glob(Folder + "/showers-*")
 a = 10000 # packagesize

sim.py

 import numpy as np
 from airshower import shower, utils, plotting
 import argparse
-
+import os
 
 parser = argparse.ArgumentParser()
 parser.add_argument("--mass", default=1, type=int, help='mass number')
@@ -9,6 +9,9 @@ parser.add_argument("--nfiles", default=10, type=int, help='number of files')
 parser.add_argument("--nevents", default=10000, type=int, help='number of events per file')
 args = parser.parse_args()
 
+if not os.path.exists('RawData'):
+    os.makedirs('RawData')
+
 print 'Simulating'
 print 'A', args.mass
 print 'nfiles', args.nfiles