Further tests for SO(n) sampling

Author: marvinpfoertner

src/probnum/compat/_core.py

@@ -23,6 +23,9 @@ def to_numpy(*xs: Union[backend.ndarray, linops.LinearOperator]) -> Tuple[np.nda
 
         res.append(x)
 
+    if len(xs) == 1:
+        return res[0]
+
     return tuple(res)
 
 

tests/test_backend/test_random/test_uniform_so_group.py

@@ -1,10 +1,11 @@
+import numpy as np
 import pytest_cases
 
 from probnum import backend, compat
 from probnum.typing import SeedLike, ShapeType
 
 
-@pytest_cases.fixture
+@pytest_cases.fixture(scope="module")
 @pytest_cases.parametrize("seed", (234789, 7890))
 @pytest_cases.parametrize("n", (1, 2, 5, 9))
 @pytest_cases.parametrize("shape", ((), (1,), (2,), (3, 2)))
@@ -28,3 +29,11 @@ def test_orthogonal(so_group_sample: backend.ndarray):
         backend.broadcast_arrays(backend.eye(n), so_group_sample)[0],
         atol=1e-6 if so_group_sample.dtype == backend.single else 1e-12,
     )
+
+
+def test_determinant_1(so_group_sample: backend.ndarray):
+    compat.testing.assert_allclose(
+        np.linalg.det(compat.to_numpy(so_group_sample)),
+        1.0,
+        rtol=2e-6 if so_group_sample.dtype == backend.single else 1e-7,
+    )