Add third party tests

Author: antonwolfy

dpnp/dpnp_iface_mathematical.py

@@ -3762,7 +3762,7 @@ def real_if_close(a, tol=100):
 Parameters
 ----------
 x : {dpnp.ndarray, usm_ndarray}
-    Input array, expected to have floating-point type.
+    Input array, expected to have floating-point data type.
 out : {None, dpnp.ndarray, usm_ndarray}, optional
     Output array to populate.
     Array must have the correct shape and the expected data type.

tests/third_party/cupy/math_tests/test_special.py

@@ -0,0 +1,33 @@
+import unittest
+
+import pytest
+
+import dpnp as cupy
+from tests.third_party.cupy import testing
+
+
+class TestSpecial(unittest.TestCase):
+
+    @testing.for_dtypes(["e", "f", "d"])
+    @testing.numpy_cupy_allclose(rtol=1e-3)
+    def test_i0(self, xp, dtype):
+        a = testing.shaped_random((2, 3), xp, dtype)
+        return xp.i0(a)
+
+    @testing.for_dtypes(["e", "f", "d", "F", "D"])
+    @testing.numpy_cupy_allclose(atol=1e-3)
+    def test_sinc(self, xp, dtype):
+
+        if dtype in [cupy.float16, cupy.float32, cupy.complex64]:
+            pytest.xfail(
+                reason="XXX: np2.0: numpy 1.26 uses a wrong "
+                "promotion; numpy 2.0 is OK"
+            )
+
+        a = testing.shaped_random((2, 3), xp, dtype, scale=1)
+        return xp.sinc(a)
+
+    @testing.for_dtypes(["e", "f", "d", "F", "D"])
+    def test_sinc_zero(self, dtype):
+        a = cupy.sinc(cupy.zeros(1, dtype=dtype))
+        testing.assert_array_equal(a, cupy.ones(1, dtype=dtype))