a test for gudhi.representations.Entropy has been added

1 files changed, 11 insertions, 1 deletions

diff --git a/src/python/test/test_representations.py b/src/python/test/test_representations.py
index 6a3dddc4..553ceba0 100755
--- a/src/python/test/test_representations.py
+++ b/src/python/test/test_representations.py
@@ -160,7 +160,17 @@ def test_entropy_miscalculation():
         l = l/sum(l)
         return -np.dot(l, np.log(l))
     sce = Entropy(mode="scalar")
-    assert [[pe_max(diag_ex)]] == sce.fit_transform([diag_ex])
+    assert [[pe(diag_ex)]] == sce.fit_transform([diag_ex])
+    sce = Entropy(mode="vector", resolution=4, normalized=False)
+    pef = [-1/4*np.log(1/4)-1/4*np.log(1/4)-1/2*np.log(1/2),
+           -1/4*np.log(1/4)-1/4*np.log(1/4)-1/2*np.log(1/2),
+           -1/2*np.log(1/2), 
+           0.0]
+    assert all(([pef] == sce.fit_transform([diag_ex]))[0])
+    sce = Entropy(mode="vector", resolution=4, normalized=True)
+    pefN = (sce.fit_transform([diag_ex]))[0]
+    area = np.linalg.norm(pefN, ord=1)
+    assert area==1
     
 def test_kernel_empty_diagrams():
     empty_diag = np.empty(shape = [0, 2])