Update cupy tests

Author: vlad-perevezentsev

tests/third_party/cupy/math_tests/test_misc.py

@@ -126,12 +126,13 @@ def test_clip_max_none(self, xp, dtype):
         a = testing.shaped_arange((2, 3, 4), xp, dtype)
         return a.clip(3, None)
 
+    # numpy>=2.0 does not raise ValueError with a_min=None, a_max=None
+    @testing.with_requires("numpy>=2.0")
     @testing.for_all_dtypes(no_bool=True, no_complex=True)
     def test_clip_min_max_none(self, dtype):
         for xp in (numpy, cupy):
             a = testing.shaped_arange((2, 3, 4), xp, dtype)
-            with pytest.raises(ValueError):
-                a.clip(None, None)
+            return a.clip(None, None)
 
     @testing.for_all_dtypes(no_complex=True)
     @testing.numpy_cupy_array_equal()
@@ -155,8 +156,15 @@ def test_external_clip3(self, xp, dtype):
     def test_external_clip4(self, dtype):
         for xp in (numpy, cupy):
             a = testing.shaped_arange((2, 3, 4), xp, dtype)
-            with pytest.raises(TypeError):
-                xp.clip(a, 3)
+            # dpnp.clip() has default a_min, a_max variables as None
+            # while numpy.clip() uses np._NoValue(numpy>=2.0)
+            # or required arguments (numpy<2.0) for a_min, a_max
+            # and raises TypeError if passing a_min only
+            if xp is numpy:
+                with pytest.raises(TypeError):
+                    xp.clip(a, 3)
+            else:
+                return xp.clip(a, 3)
 
     @testing.for_all_dtypes(no_complex=True)
     @testing.numpy_cupy_array_equal()