test: fixed test_memoize_evals_2 for macos azure action

Author: mrava87

pylops/optimization/cls_sparsity.py

@@ -1771,7 +1771,7 @@ def step(self, x: NDArray, show: bool = False) -> Tuple[NDArray, float]:
         if self.SOp is not None:
             x = self.SOpmatvec(x)
 
-        # check model update
+        # compute model update norm
         if not self.preallocate:
             xupdate = np.linalg.norm(x - xold)
         else:
@@ -1782,7 +1782,7 @@ def step(self, x: NDArray, show: bool = False) -> Tuple[NDArray, float]:
             )
             xupdate = np.linalg.norm(self.xold)
 
-        # cost functions
+        # compute cost functions
         costdata = 0.5 * np.linalg.norm(self.res if self.preallocate else res) ** 2
         costreg = self.eps * np.linalg.norm(x, ord=1)
         self.cost.append(float(costdata + costreg))

pytests/test_memoizeoperator.py

@@ -10,8 +10,6 @@
     from numpy.testing import assert_array_almost_equal
 
     backend = "numpy"
-import itertools
-
 import pytest
 
 from pylops import MemoizeOperator
@@ -73,7 +71,7 @@ def test_memoize_evals_2(par):
 
     # Approach 1
     Aop1 = Aop.toreal(forw=False, adj=True)
-    xinv1 = Aop1.div(y)
+    xinv1 = Aop1.div(y).real
     assert_array_almost_equal(x, xinv1)
 
     # Approach 2