Address remarks

Author: vlad-perevezentsev

dpnp/backend/extensions/ufunc/elementwise_functions/interpolate.cpp

@@ -47,6 +47,7 @@ using ext::common::value_type_of;
 using ext::validation::array_names;
 using ext::validation::array_ptr;
 
+using ext::common::dtype_from_typenum;
 using ext::validation::check_has_dtype;
 using ext::validation::check_num_dims;
 using ext::validation::check_same_dtype;
@@ -165,7 +166,10 @@ std::pair<sycl::event, sycl::event>
 
     auto fn = interpolate_dispatch_vector[out_type_id];
     if (!fn) {
-        throw py::type_error("Unsupported dtype");
+        py::dtype out_dtype_py = dtype_from_typenum(out_type_id);
+        std::string msg = "Unsupported dtype for interpolation: " +
+                          std::string(py::str(out_dtype_py));
+        throw py::type_error(msg);
     }
 
     std::size_t n = x.get_size();
@@ -207,7 +211,6 @@ template <typename T>
 struct InterpolateOutputType
 {
     using value_type = typename std::disjunction<
-        td_ns::TypeMapResultEntry<T, sycl::half>,
         td_ns::TypeMapResultEntry<T, float>,
         td_ns::TypeMapResultEntry<T, double>,
         td_ns::TypeMapResultEntry<T, std::complex<float>>,

dpnp/tests/test_mathematical.py

@@ -1150,7 +1150,7 @@ class TestInterp:
     @pytest.mark.parametrize(
         "dtype_xp", get_all_dtypes(no_complex=True, no_none=True)
     )
-    @pytest.mark.parametrize("dtype_y", get_all_dtypes())
+    @pytest.mark.parametrize("dtype_y", get_all_dtypes(no_none=True))
     def test_all_dtypes(self, dtype_x, dtype_xp, dtype_y):
         x = numpy.linspace(0.1, 9.9, 20).astype(dtype_x)
         xp = numpy.linspace(0.0, 10.0, 5).astype(dtype_xp)
@@ -1281,7 +1281,7 @@ def test_errors(self):
         assert_raises(TypeError, dpnp.interp, x, xp, fp, period=[180])
 
         # left is not scalar or 0-dim
-        left = dpnp.array([1.0])
+        left = [1]
         assert_raises(ValueError, dpnp.interp, x, xp, fp, left=left)
 
         # left is 1-d array