Revert "a test for gudhi.representations.Entropy has been added"

This reverts commit 758111506dfb99cdc59981395386926e178d447c.

2 files changed, 2 insertions, 12 deletions

diff --git a/src/python/gudhi/representations/vector_methods.py b/src/python/gudhi/representations/vector_methods.py
index ef1329d0..57ca5999 100644
--- a/src/python/gudhi/representations/vector_methods.py
+++ b/src/python/gudhi/representations/vector_methods.py
@@ -532,7 +532,7 @@ class Entropy(BaseEstimator, TransformerMixin):
                     for k in range(min_idx, max_idx):
                         ent[k] += (-1) * p[j] * np.log(p[j])
                 if self.normalized:
-                    ent = ent / (np.linalg.norm(ent, ord=1))
+                    ent = ent / np.linalg.norm(ent, ord=1)
                 Xfit.append(np.reshape(ent,[1,-1]))
 
         Xfit = np.concatenate(Xfit, axis=0)
diff --git a/src/python/test/test_representations.py b/src/python/test/test_representations.py
index 553ceba0..6a3dddc4 100755
--- a/src/python/test/test_representations.py
+++ b/src/python/test/test_representations.py
@@ -160,17 +160,7 @@ def test_entropy_miscalculation():
         l = l/sum(l)
         return -np.dot(l, np.log(l))
     sce = Entropy(mode="scalar")
-    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
+    assert [[pe_max(diag_ex)]] == sce.fit_transform([diag_ex])
     
 def test_kernel_empty_diagrams():
     empty_diag = np.empty(shape = [0, 2])