From 555bbd5d34c5ee897d11eba2e279eb4eaf8f8e88 Mon Sep 17 00:00:00 2001
From: Andras Gyacsok <andras.gyacsok@boehringer-ingelheim.com>
Date: Wed, 19 Oct 2022 09:14:17 +0200
Subject: [PATCH] Porting to Python3.

---
 example_code.py  |  8 ++++----
 example_code2.py | 18 +++++++++---------
 test.py          |  2 +-
 3 files changed, 14 insertions(+), 14 deletions(-)

diff --git a/example_code.py b/example_code.py
index 376e8bd..c88408b 100644
--- a/example_code.py
+++ b/example_code.py
@@ -28,7 +28,7 @@
 vds.RemoveVar(vds.FindVariable("wifi_usage"))
 
 vdsmatch = DSNetworkMatch(learnedTANNetwork)
-print vdsmatch.attachDataset(vds)
+print(vdsmatch.attachDataset(vds))
 
 wifi_usage_node = learnedTANNetwork.FindNode("wifi_usage")
 learnedTANNetwork.ClearAllEvidence()
@@ -46,10 +46,10 @@
     diff = float(validation_y[i]) - prob
     sum_of_squares += diff*diff
 
-print sqrt(sum_of_squares)
+print(sqrt(sum_of_squares))
 ///
 
-print vdsmatch.attachDataset(tds)
+print(vdsmatch.attachDataset(tds))
 train_y = np.array(train_set.wifi_usage=='s1_below_0', dtype=np.int8)
 for i in range(len(train_y)):
     vdsmatch.enterEvidenceFromDatasetRow(i)
@@ -59,7 +59,7 @@
     diff = float(train_y[i]) - prob
     sum_of_squares += diff*diff
     
-print sqrt(sum_of_squares)
+print(sqrt(sum_of_squares))
 ///
 ds.RemoveVar(ds.FindVariable("wifi_usage"))
 ///
diff --git a/example_code2.py b/example_code2.py
index 86baada..7a41728 100644
--- a/example_code2.py
+++ b/example_code2.py
@@ -26,17 +26,17 @@
 for i in range(0,20):
     sa2.SetString(i, "Alles klar %d" % (i))
     
-print sa2.Subscript(10)
+print(sa2.Subscript(10))
 # Basic id array functionality
 ia2 = DSL_idArray(20,10)
 
 for i in range(0,20):
     ia2.SetString(i, "AllesKlar%d" % (i))
     
-print ia2.Subscript(10)
+print(ia2.Subscript(10))
 ia2.SetString(4, "Alles Klar %d" % (4))
 
-print ia2.Subscript(4)
+print(ia2.Subscript(4))
 ar = toDSL_intArray([1,2,3])
 ari = intArray.frompointer(ar.Items())
 
@@ -119,24 +119,24 @@
 ds2 = DSL_dataset()
 ds2.ReadFile('/data/fast/ltm_wifi_test/NISLTM/train_set.csv')
 for name in ds2.GetStateNames(ds2.FindVariable("domain_content")):
-    print name
+    print(name)
 
 for name in vds.GetStateNames(vds.FindVariable("domain_content")):
-    print name
+    print(name)
 
 x = DSNetworkMatch(learnedTANNetwork)
-print x.attachDataset(vds)
+print(x.attachDataset(vds))
 wifi_usage_node = learnedTANNetwork.FindNode("wifi_usage")
 learnedTANNetwork.ClearAllEvidence()
 learnedTANNetwork.UpdateBeliefs()
 va = doubleArray.frompointer(learnedTANNetwork.GetNode(wifi_usage_node).Value().GetMatrix().GetItems().Items())
-print va[0]
+print(va[0])
 
 for i in range(10):
     x.enterEvidenceFromDatasetRow(21*i)
     learnedTANNetwork.UpdateBeliefs()
-    print va[0]
+    print(va[0])
 
 outc = ndef.GetOutcomesNames()
 for i in range(outc.GetSize()):
-    print outc.Subscript(i)
+    print(outc.Subscript(i))
diff --git a/test.py b/test.py
index 72275b1..23a10bb 100644
--- a/test.py
+++ b/test.py
@@ -2,4 +2,4 @@
 
 net = pysmile.DSL_network()
 
-print "OK"
\ No newline at end of file
+print("OK")
\ No newline at end of file