Merge pull request #696 from mrava87/patch-test_torch_skip

minor: use pytest.skip instead of return in test_torchoperator

Author: mrava87

pytests/test_torchoperator.py

@@ -11,7 +11,6 @@
     from numpy.testing import assert_array_equal
 
     backend = "numpy"
-import numpy as npp
 import pytest
 import torch
 
@@ -33,7 +32,7 @@ def test_TorchOperator(par):
     # temporarily, skip tests on mac as torch seems not to recognized
     # numpy when v2 is installed
     if platform.system() == "Darwin":
-        return
+        pytest.skip("torch not recognized on macOS with numpy v2")
     device = "cpu" if backend == "numpy" else "cuda"
 
     Dop = MatrixMult(np.random.normal(0.0, 1.0, (par["ny"], par["nx"])))
@@ -63,7 +62,7 @@ def test_TorchOperator_batch(par):
     # temporarily, skip tests on mac as torch seems not to recognized
     # numpy when v2 is installed
     if platform.system() == "Darwin":
-        return
+        pytest.skip("torch not recognized on macOS with numpy v2")
     device = "cpu" if backend == "numpy" else "cuda"
 
     Dop = MatrixMult(np.random.normal(0.0, 1.0, (par["ny"], par["nx"])))
@@ -85,7 +84,7 @@ def test_TorchOperator_batch_nd(par):
     # temporarily, skip tests on mac as torch seems not to recognized
     # numpy when v2 is installed
     if platform.system() == "Darwin":
-        return
+        pytest.skip("torch not recognized on macOS with numpy v2")
     device = "cpu" if backend == "numpy" else "cuda"
 
     Dop = MatrixMult(np.random.normal(0.0, 1.0, (par["ny"], par["nx"])), otherdims=(2,))