Adds tests for where behavior with scalars

dpctl/tests/test_usm_ndarray_search_functions.py

@@ -14,6 +14,9 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
+import ctypes
+import itertools
+
 import numpy as np
 import pytest
 from helper import get_queue_or_skip, skip_if_dtype_not_supported
@@ -522,3 +525,54 @@ def test_where_out_arg_validation():
         dpt.where(condition, x1, x2, out=out_wrong_shape)
     with pytest.raises(ValueError):
         dpt.where(condition, x1, x2, out=out_not_writable)
+
+
+@pytest.mark.parametrize("arr_dt", _all_dtypes)
+def test_where_python_scalar(arr_dt):
+    q = get_queue_or_skip()
+    skip_if_dtype_not_supported(arr_dt, q)
+
+    n1, n2 = 10, 10
+    condition = dpt.tile(
+        dpt.reshape(
+            dpt.asarray([True, False], dtype="?", sycl_queue=q), (1, 2)
+        ),
+        (n1, n2 // 2),
+    )
+    x = dpt.zeros((n1, n2), dtype=arr_dt, sycl_queue=q)
+    py_scalars = (
+        bool(0),
+        int(0),
+        float(0),
+        complex(0),
+        np.float32(0),
+        ctypes.c_int(0),
+    )
+    for sc in py_scalars:
+        r = dpt.where(condition, x, sc)
+        assert isinstance(r, dpt.usm_ndarray)
+        r = dpt.where(condition, sc, x)
+        assert isinstance(r, dpt.usm_ndarray)
+
+
+def test_where_two_python_scalars():
+    get_queue_or_skip()
+
+    n1, n2 = 10, 10
+    condition = dpt.tile(
+        dpt.reshape(dpt.asarray([True, False], dtype="?"), (1, 2)),
+        (n1, n2 // 2),
+    )
+
+    py_scalars = [
+        bool(0),
+        int(0),
+        float(0),
+        complex(0),
+        np.float32(0),
+        ctypes.c_int(0),
+    ]
+
+    for sc1, sc2 in itertools.product(py_scalars, repeat=2):
+        r = dpt.where(condition, sc1, sc2)
+        assert isinstance(r, dpt.usm_ndarray)