minor...

modules/deeplearning/icing_cnn.py

@@ -507,7 +507,7 @@ class IcingIntensityNN:
         print('num test samples: ', tst_idxs.shape[0])
         print('setup_pipeline: Done')
 
-    def setup_test_pipeline(self, filename_l1b, filename_l2, seed=None, shuffle=False):
+    def setup_test_pipeline(self, filename_l1b, filename_l2):
 
         if filename_l1b is not None:
             self.h5f_l1b_tst = h5py.File(filename_l1b, 'r')
@@ -521,10 +521,6 @@ class IcingIntensityNN:
         time = h5f['time']
         tst_idxs = np.arange(time.shape[0])
         self.num_data_samples = len(tst_idxs)
-        if seed is not None:
-            np.random.seed(seed)
-        if shuffle:
-            np.random.shuffle(tst_idxs)
 
         self.get_test_dataset(tst_idxs)