Update dpnp.cov implementation to properly transposes 2d array when rowvar=False

Author: antonwolfy

dpnp/dpnp_utils/dpnp_utils_statistics.py

@@ -153,7 +153,7 @@ def _get_2dmin_array(x, dtype):
         elif x.ndim == 1:
             x = x[dpnp.newaxis, :]
 
-        if not rowvar and x.shape[0] != 1:
+        if not rowvar and x.ndim != 1:
             x = x.T
 
         if x.dtype != dtype:

dpnp/tests/test_statistics.py

@@ -16,6 +16,7 @@
     get_float_complex_dtypes,
     has_support_aspect64,
 )
+from .third_party.cupy.testing import with_requires
 
 
 class TestAverage:
@@ -619,6 +620,8 @@ def test_cov_rowvar(dtype):
     assert_allclose(numpy.cov(b, rowvar=False), dpnp.cov(a, rowvar=False))
 
 
+# numpy 2.2 properly transposes 2d array when rowvar=False
+@with_requires("numpy>=2.2")
 @pytest.mark.parametrize(
     "dtype", get_all_dtypes(no_bool=True, no_none=True, no_complex=True)
 )