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Porting to Python3. #1

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8 changes: 4 additions & 4 deletions example_code.py
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Original file line number Diff line number Diff line change
Expand Up @@ -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()
Expand All @@ -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)
Expand All @@ -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"))
///
Expand Down
18 changes: 9 additions & 9 deletions example_code2.py
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Original file line number Diff line number Diff line change
Expand Up @@ -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())

Expand Down Expand Up @@ -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))
2 changes: 1 addition & 1 deletion test.py
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Original file line number Diff line number Diff line change
Expand Up @@ -2,4 +2,4 @@

net = pysmile.DSL_network()

print "OK"
print("OK")