xfail indexing tests for negative slice steps

Author: honno

torch_np/tests/numpy_tests/core/test_indexing.py

@@ -15,6 +15,11 @@
     )
 
 
+xfail_neg_step = pytest.mark.xfail(
+    reason="torch does not support indexing with negative slice steps"
+)
+
+
 class TestIndexing:
     def test_index_no_floats(self):
         a = np.array([[[5]]])
@@ -288,6 +293,7 @@ def test_boolean_indexing_list(self):
         assert_equal(a[b], [1, 3])
         assert_equal(a[None, b], [[1, 3]])
 
+    @xfail_neg_step
     def test_reverse_strides_and_subspace_bufferinit(self):
         # This tests that the strides are not reversed for simple and
         # subspace fancy indexing.
@@ -305,6 +311,7 @@ def test_reverse_strides_and_subspace_bufferinit(self):
         a[b, :] = c
         assert_equal(a[0], [0, 1])
 
+    @xfail_neg_step
     def test_reversed_strides_result_allocation(self):
         # Test a bug when calculating the output strides for a result array
         # when the subspace size was 1 (and test other cases as well)
@@ -561,6 +568,7 @@ def test_indexing_array_weird_strides(self):
         zind = np.zeros(4, dtype=np.intp)
         assert_array_equal(x2[ind, zind], x2[ind.copy(), zind])
 
+    @xfail_neg_step
     def test_indexing_array_negative_strides(self):
         # From gh-8264,
         # core dumps if negative strides are used in iteration