Merge 2ebda89 into 44bb068

Author: antonwolfy

dpnp/dpnp_array.py

@@ -192,7 +192,12 @@ def __and__(self, other):
         """Return ``self&value``."""
         return dpnp.bitwise_and(self, other)
 
-    # '__array__',
+    def __array__(self, dtype=None, /, *, copy=None):
+        raise TypeError(
+            "Implicit conversion to a NumPy array is not allowed. "
+            "Please use `.asnumpy()` to construct a NumPy array explicitly."
+        )
+
     # '__array_finalize__',
     # '__array_function__',
     # '__array_interface__',

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

@@ -691,7 +691,6 @@ def test_format(self, xp):
         return format(x, ".2f")
 
 
-@pytest.mark.skip("implicit conversation to numpy does not raise an exception")
 class TestNdarrayImplicitConversion(unittest.TestCase):
 
     def test_array(self):

dpnp/tests/third_party/cupy/random_tests/test_sample.py

@@ -97,7 +97,7 @@ def test_goodness_of_fit(self):
     @_condition.repeat(3, 10)
     def test_goodness_of_fit_2(self):
         mx = 5
-        vals = random.randint(mx, size=(5, 20))
+        vals = random.randint(mx, size=(5, 20)).asnumpy()
         counts = numpy.histogram(vals, bins=numpy.arange(mx + 1))[0]
         expected = numpy.array([float(vals.size) / mx] * mx)
         assert _hypothesis.chi_square_test(counts, expected)
@@ -199,7 +199,7 @@ def test_goodness_of_fit(self):
     @_condition.repeat(3, 10)
     def test_goodness_of_fit_2(self):
         mx = 5
-        vals = random.randint(0, mx, (5, 20))
+        vals = random.randint(0, mx, (5, 20)).asnumpy()
         counts = numpy.histogram(vals, bins=numpy.arange(mx + 1))[0]
         expected = numpy.array([float(vals.size) / mx] * mx)
         assert _hypothesis.chi_square_test(counts, expected)