Resolve result dtype missmatch in tests for trapezoid

Author: antonwolfy

dpnp/tests/third_party/cupy/math_tests/test_sumprod.py

@@ -1162,51 +1162,75 @@ def test_ediff1d_ed2(self, xp, dtype):
 class TestTrapezoid:
 
     @testing.for_all_dtypes()
-    @testing.numpy_cupy_allclose(rtol={numpy.float16: 1e-1, "default": 1e-7})
+    @testing.numpy_cupy_allclose(
+        rtol={numpy.float16: 1e-1, "default": 1e-7},
+        type_check=has_support_aspect64(),
+    )
     def test_trapz_1dim(self, xp, dtype):
         a = testing.shaped_arange((5,), xp, dtype)
         return xp.trapezoid(a)
 
     @testing.for_all_dtypes()
-    @testing.numpy_cupy_allclose(rtol={numpy.float16: 1e-1, "default": 1e-7})
+    @testing.numpy_cupy_allclose(
+        rtol={numpy.float16: 1e-1, "default": 1e-7},
+        type_check=has_support_aspect64(),
+    )
     def test_trapz_1dim_with_x(self, xp, dtype):
         a = testing.shaped_arange((5,), xp, dtype)
         x = testing.shaped_arange((5,), xp, dtype)
         return xp.trapezoid(a, x=x)
 
     @testing.for_all_dtypes()
-    @testing.numpy_cupy_allclose(rtol={numpy.float16: 1e-1, "default": 1e-7})
+    @testing.numpy_cupy_allclose(
+        rtol={numpy.float16: 1e-1, "default": 1e-7},
+        type_check=has_support_aspect64(),
+    )
     def test_trapz_1dim_with_dx(self, xp, dtype):
         a = testing.shaped_arange((5,), xp, dtype)
         return xp.trapezoid(a, dx=0.1)
 
     @testing.for_all_dtypes()
-    @testing.numpy_cupy_allclose(rtol={numpy.float16: 1e-1, "default": 1e-7})
+    @testing.numpy_cupy_allclose(
+        rtol={numpy.float16: 1e-1, "default": 1e-7},
+        type_check=has_support_aspect64(),
+    )
     def test_trapz_2dim_without_axis(self, xp, dtype):
         a = testing.shaped_arange((4, 5), xp, dtype)
         return xp.trapezoid(a)
 
     @testing.for_all_dtypes()
-    @testing.numpy_cupy_allclose(rtol={numpy.float16: 1e-1, "default": 1e-7})
+    @testing.numpy_cupy_allclose(
+        rtol={numpy.float16: 1e-1, "default": 1e-7},
+        type_check=has_support_aspect64(),
+    )
     def test_trapz_2dim_with_axis(self, xp, dtype):
         a = testing.shaped_arange((4, 5), xp, dtype)
         return xp.trapezoid(a, axis=-2)
 
     @testing.for_all_dtypes()
-    @testing.numpy_cupy_allclose(rtol={numpy.float16: 1e-1, "default": 1e-7})
+    @testing.numpy_cupy_allclose(
+        rtol={numpy.float16: 1e-1, "default": 1e-7},
+        type_check=has_support_aspect64(),
+    )
     def test_trapz_2dim_with_x_and_axis(self, xp, dtype):
         a = testing.shaped_arange((4, 5), xp, dtype)
         x = testing.shaped_arange((5,), xp, dtype)
         return xp.trapezoid(a, x=x, axis=1)
 
     @testing.for_all_dtypes()
-    @testing.numpy_cupy_allclose(rtol={numpy.float16: 1e-1, "default": 1e-7})
+    @testing.numpy_cupy_allclose(
+        rtol={numpy.float16: 1e-1, "default": 1e-7},
+        type_check=has_support_aspect64(),
+    )
     def test_trapz_2dim_with_dx_and_axis(self, xp, dtype):
         a = testing.shaped_arange((4, 5), xp, dtype)
         return xp.trapezoid(a, dx=0.1, axis=1)
 
     @testing.for_all_dtypes()
-    @testing.numpy_cupy_allclose(rtol={numpy.float16: 1e-1, "default": 1e-7})
+    @testing.numpy_cupy_allclose(
+        rtol={numpy.float16: 1e-1, "default": 1e-7},
+        type_check=has_support_aspect64(),
+    )
     def test_trapz_1dim_with_x_and_dx(self, xp, dtype):
         a = testing.shaped_arange((5,), xp, dtype)
         x = testing.shaped_arange((5,), xp, dtype)

dpnp/tests/third_party/cupy/testing/_loops.py

@@ -583,12 +583,12 @@ def numpy_cupy_allclose(
     # When `type_check` is `False`, cupy result and numpy result may have
     # different dtypes so we can not determine the dtype to use from the
     # tolerance associations.
-    if not type_check:
-        if isinstance(rtol, dict) or isinstance(atol, dict):
-            raise TypeError(
-                "When `type_check` is `False`, `rtol` and `atol` "
-                "must be supplied as float."
-            )
+    # if not type_check:
+    #     if isinstance(rtol, dict) or isinstance(atol, dict):
+    #         raise TypeError(
+    #             "When `type_check` is `False`, `rtol` and `atol` "
+    #             "must be supplied as float."
+    #         )
 
     def check_func(c, n):
         rtol1, atol1 = _resolve_tolerance(type_check, c, rtol, atol)