fix test

Author: Aggrathon

tests/test_optim.py

@@ -140,31 +140,31 @@ def test_gradopt():
     X, Y = data_create(20, 5)
     alpha = np.random.normal(size=5)
     alpha2 = graduated_optimisation(alpha, X, Y, 0.1, beta=100)
-    assert loss_smooth(alpha, X, Y, 0.1, beta=100) > loss_smooth(
+    assert loss_smooth(alpha, X, Y, 0.1, beta=100) >= loss_smooth(
         alpha2, X, Y, 0.1, beta=100
     )
     alpha2 = graduated_optimisation(alpha, X, Y, 0.1, beta=100, lambda1=0.5)
-    assert loss_smooth(alpha, X, Y, 0.1, beta=100, lambda1=0.5) > loss_smooth(
+    assert loss_smooth(alpha, X, Y, 0.1, beta=100, lambda1=0.5) >= loss_smooth(
         alpha2, X, Y, 0.1, beta=100, lambda1=0.5
     )
     alpha2 = graduated_optimisation(alpha, X, Y, 0.1, beta=100, lambda2=0.5)
-    assert loss_smooth(alpha, X, Y, 0.1, beta=100, lambda2=0.5) > loss_smooth(
+    assert loss_smooth(alpha, X, Y, 0.1, beta=100, lambda2=0.5) >= loss_smooth(
         alpha2, X, Y, 0.1, beta=100, lambda2=0.5
     )
     # With weight
     w = np.random.uniform(size=20)
     alpha2 = graduated_optimisation(alpha, X, Y, 0.1, beta=100, weight=w)
-    assert loss_smooth(alpha, X, Y, 0.1, beta=100, weight=w) > loss_smooth(
+    assert loss_smooth(alpha, X, Y, 0.1, beta=100, weight=w) >= loss_smooth(
         alpha2, X, Y, 0.1, beta=100, weight=w
     )
     alpha2 = graduated_optimisation(alpha, X, Y, 0.1, beta=100, lambda1=0.5, weight=w)
-    assert loss_smooth(alpha, X, Y, 0.1, beta=100, lambda1=0.5, weight=w) > loss_smooth(
-        alpha2, X, Y, 0.1, beta=100, lambda1=0.5, weight=w
-    )
+    assert loss_smooth(
+        alpha, X, Y, 0.1, beta=100, lambda1=0.5, weight=w
+    ) >= loss_smooth(alpha2, X, Y, 0.1, beta=100, lambda1=0.5, weight=w)
     alpha2 = graduated_optimisation(alpha, X, Y, 0.1, beta=100, lambda2=0.5, weight=w)
-    assert loss_smooth(alpha, X, Y, 0.1, beta=100, lambda2=0.5, weight=w) > loss_smooth(
-        alpha2, X, Y, 0.1, beta=100, lambda2=0.5, weight=w
-    )
+    assert loss_smooth(
+        alpha, X, Y, 0.1, beta=100, lambda2=0.5, weight=w
+    ) >= loss_smooth(alpha2, X, Y, 0.1, beta=100, lambda2=0.5, weight=w)
 
 
 def test_regres():