From 275074013d396668e59e8f0892ee78adf6610dd7 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Bj=C3=B6rn=20Esser?= <besser82@fedoraproject.org>
Date: Sun, 30 Apr 2017 13:16:24 +0200
Subject: [PATCH] Finally fix all python_modular examples

---
 examples/undocumented/python_modular/classifier_larank_modular.py     | 4 ++--
 .../undocumented/python_modular/classifier_multiclassocas_modular.py  | 4 ++--
 examples/undocumented/python_modular/stochasticgbmachine_modular.py   | 4 ++--
 3 files changed, 6 insertions(+), 6 deletions(-)

diff --git a/examples/undocumented/python_modular/classifier_larank_modular.py b/examples/undocumented/python_modular/classifier_larank_modular.py
index b3d3166..1df801f 100644
--- a/examples/undocumented/python_modular/classifier_larank_modular.py
+++ b/examples/undocumented/python_modular/classifier_larank_modular.py
@@ -18,8 +18,8 @@ def classifier_larank_modular (num_vec,num_class,distance,C=0.9,num_threads=1,nu
 	fm_train=array(random.randn(num_class,num_vec))
 	fm_test=array(random.randn(num_class,num_vec))
 	for i in range(len(label_train)):
-		fm_train[label_train[i],int(i)]+=distance
-		fm_test[label_test[i],int(i)]+=distance
+		fm_train[int(label_train[i]),i]+=distance
+		fm_test[int(label_test[i]),i]+=distance
 
 	feats_train=RealFeatures(fm_train)
 	feats_test=RealFeatures(fm_test)
diff --git a/examples/undocumented/python_modular/classifier_multiclassocas_modular.py b/examples/undocumented/python_modular/classifier_multiclassocas_modular.py
index 14e716a..68e5bac 100644
--- a/examples/undocumented/python_modular/classifier_multiclassocas_modular.py
+++ b/examples/undocumented/python_modular/classifier_multiclassocas_modular.py
@@ -21,8 +21,8 @@ def classifier_multiclassocas_modular (num_vec=10,num_class=3,distance=15,width=
 	fm_train=array(random.randn(num_class,num_vec))
 	fm_test=array(random.randn(num_class,num_vec))
 	for i in range(len(label_train)):
-		fm_train[label_train[i],int(i)]+=distance
-		fm_test[label_test[i],int(i)]+=distance
+		fm_train[int(label_train[i]),i]+=distance
+		fm_test[int(label_test[i]),i]+=distance
 
 	feats_train=RealFeatures(fm_train)
 	feats_test=RealFeatures(fm_test)
diff --git a/examples/undocumented/python_modular/stochasticgbmachine_modular.py b/examples/undocumented/python_modular/stochasticgbmachine_modular.py
index df8285f..53e84be 100644
--- a/examples/undocumented/python_modular/stochasticgbmachine_modular.py
+++ b/examples/undocumented/python_modular/stochasticgbmachine_modular.py
@@ -39,8 +39,8 @@ def stochasticgbmachine_modular(train=traindat,train_labels=label_traindat,ft=fe
 	labels.remove_subset()
 
 	# apply
-	feats.add_subset(np.int32(p[num:len(p)]))
-	labels.add_subset(np.int32(p[num:len(p)]))
+	feats.add_subset(np.int32(p[int(num):len(p)]))
+	labels.add_subset(np.int32(p[int(num):len(p)]))
 	output=s.apply_regression(feats)
 
 	feats.remove_subset()