TBD

dpnp/tests/third_party/cupy/core_tests/test_core.py

@@ -9,6 +9,7 @@
 
 
 class TestSize(unittest.TestCase):
+
     # def tearDown(self):
     #     # Free huge memory for slow test
     #     cupy.get_default_memory_pool().free_all_blocks()
@@ -51,6 +52,7 @@ def test_size_huge(self, xp):
 
 @pytest.mark.skip("no cupy._core submodule")
 class TestOrder(unittest.TestCase):
+
     @testing.for_orders(_orders.keys())
     def test_ndarray(self, order):
         order_expect = _orders[order]
@@ -101,6 +103,7 @@ def test_cupy_ndarray(self, dtype):
 )
 @pytest.mark.skip("compiling cupy headers are not supported")
 class TestCuPyHeaders(unittest.TestCase):
+
     def setUp(self):
         self.temporary_cache_dir_context = test_raw.use_temporary_cache_dir()
         self.cache_dir = self.temporary_cache_dir_context.__enter__()

dpnp/tests/third_party/cupy/core_tests/test_elementwise.py

@@ -119,7 +119,10 @@ def test_large_int_upper_3(self, xp, dtype):
             and numpy.lib.NumpyVersion(numpy.__version__) < "2.0.0"
         ):
             pytest.skip("numpy promotes dtype differently")
-        elif dtype == numpy.uint64 and not has_support_aspect64():
+        elif (
+            dtype in (numpy.uint64, numpy.ulonglong)
+            and not has_support_aspect64()
+        ):
             pytest.skip("no fp64 support")
 
         a = xp.array([xp.iinfo(dtype).max], dtype=dtype)
@@ -134,7 +137,10 @@ def test_large_int_upper_4(self, xp, dtype):
             and numpy.lib.NumpyVersion(numpy.__version__) < "2.0.0"
         ):
             pytest.skip("numpy promotes dtype differently")
-        elif dtype == numpy.uint64 and not has_support_aspect64():
+        elif (
+            dtype in (numpy.uint64, numpy.ulonglong)
+            and not has_support_aspect64()
+        ):
             pytest.skip("no fp64 support")
 
         a = xp.array([xp.iinfo(dtype).max - 1], dtype=dtype)
@@ -163,7 +169,10 @@ def test_large_int_lower_3(self, xp, dtype):
             and numpy.lib.NumpyVersion(numpy.__version__) < "2.0.0"
         ):
             pytest.skip("numpy promotes dtype differently")
-        elif dtype == numpy.uint64 and not has_support_aspect64():
+        elif (
+            dtype in (numpy.uint64, numpy.ulonglong)
+            and not has_support_aspect64()
+        ):
             pytest.skip("no fp64 support")
 
         a = xp.array([xp.iinfo(dtype).min], dtype=dtype)
@@ -173,7 +182,10 @@ def test_large_int_lower_3(self, xp, dtype):
     @testing.for_int_dtypes(no_bool=True)
     @testing.numpy_cupy_array_equal()
     def test_large_int_lower_4(self, xp, dtype):
-        if dtype == numpy.uint64 and not has_support_aspect64():
+        if (
+            dtype in (numpy.uint64, numpy.ulonglong)
+            and not has_support_aspect64()
+        ):
             pytest.skip("no fp64 support")
 
         a = xp.array([xp.iinfo(dtype).min + 1], dtype=dtype)

dpnp/tests/third_party/cupy/core_tests/test_flags.py

@@ -9,6 +9,7 @@
 
 @pytest.mark.skip("class Flags is not exposed")
 class TestFlags(unittest.TestCase):
+
     def setUp(self):
         self.flags = flags.Flags(1, 2, 3)
 
@@ -42,6 +43,7 @@ def test_repr(self):
     )
 )
 class TestContiguityFlags(unittest.TestCase):
+
     def setUp(self):
         self.flags = None
 

dpnp/tests/third_party/cupy/core_tests/test_include.py

@@ -1,9 +1,10 @@
 import os
 from unittest import mock
 
-import cupy
 import pytest
 
+import dpnp as cupy
+
 pytest.skip("CUDA compile is not supported", allow_module_level=True)
 
 _code_base = """