committed Andy Mattausch's code under related/EP/

related/EP/test/TestFeatureReduction.py

@@ -0,0 +1,49 @@
+import unittest
+import numpy as np
+
+from src.FeatureReduction import FeatureReduction
+
+class TestFeatureReduction(unittest.TestCase):
+
+    def testfft(self):
+        data = np.array([1,2,3,4])
+        d = FeatureReduction("mean").mean(FeatureReduction('mean').shuffelVec(data,4),2)
+        print(d)
+
+    def testVecMean(self):
+        data = np.array([1,2,3,4,5,6,7,8,9])
+        d = FeatureReduction("mean").mean(data, 1)
+        self.assertEqual(np.array([45/9]),d)
+
+        d = FeatureReduction("mean").mean(data, 2)
+        np.testing.assert_array_equal(np.array([round(12.5/4.5,6), round(32.5/4.5,6)]), d)
+
+        d = FeatureReduction("mean").mean(data, 3)
+        np.testing.assert_array_equal(np.array([2, 5, 8]), d)
+
+        d = FeatureReduction("mean").mean(data, 4)
+        np.testing.assert_array_equal(np.array([round(3.75/2.25,6), round(8.75/2.25,6), round(13.75 / 2.25,6), round(18.75/2.25,6)]), d)
+
+        d = FeatureReduction("mean").mean(data, 5)
+        np.testing.assert_array_equal(np.array([round(2.6 / 1.8,6), round(5.8 / 1.8,6), round(9 / 1.8,6),
+                                                round(12.2 / 1.8,6), round(15.4/1.8,6)]), d)
+
+        d = FeatureReduction("mean").mean(data, 6)
+        np.testing.assert_array_equal(np.array([round(2 / 1.5,6), round(4 / 1.5,6), round(6.5 / 1.5,6),
+                                                round(8.5 / 1.5,6), round(11/1.5,6),round(13/1.5,6)]), d)
+
+        d = FeatureReduction("mean").mean(data, 9)
+        np.testing.assert_array_equal(np.array([1,2,3,4,5,6,7,8,9]), d)
+
+    def testWeigthsToVec(self):
+        test =np.array([[ 0.04457645, -0.03319572]], dtype=np.float32), np.array([ 0.,  0.], dtype=np.float32), np.array([[-0.03747094],
+       [ 0.01189486]], dtype=np.float32), np.array([ 0.], dtype=np.float32)
+        FeatureReduction("mean").calc(test, 1)
+
+    def testShuffelVec(self):
+        vec = np.array([1,2,3,4,5,6,7,8,9,10])
+        print(FeatureReduction('mean').shuffelVec(vec,2))
+
+    def testPP(self):
+        vec = np.array([1., 5., 3.])
+        print(FeatureReduction('mean').calc(vec, 1))