Add test coverage for the reshape copy keyword (#3020)

This PR adds test coverage for the `copy` keyword of
`reshape`/`ndarray.reshape` to the third-party
`manipulation_tests/test_shape.py` suite.

Author: antonwolfy

dpnp/tests/third_party/cupy/manipulation_tests/test_shape.py

@@ -7,6 +7,15 @@
 from dpnp.tests.helper import has_support_aspect64
 from dpnp.tests.third_party.cupy import testing
 
+for_all_copy_args = pytest.mark.parametrize(
+    "copy",
+    [
+        pytest.param(None, id="copy-None"),
+        pytest.param(False, id="copy-False"),
+        pytest.param(True, id="copy-True"),
+    ],
+)
+
 
 @pytest.mark.parametrize("shape", [(2, 3), (), (4,)])
 class TestShape:
@@ -56,6 +65,37 @@ def test_nocopy_reshape_with_order(self, xp, dtype, order):
         b[1] = 1
         return a
 
+    @testing.with_requires("numpy>=2.1")
+    @testing.for_orders("CFA")
+    @testing.for_all_dtypes()
+    @for_all_copy_args
+    @testing.numpy_cupy_array_equal(accept_error=ValueError)
+    def test_copy_arg_reshape(self, xp, dtype, order, copy):
+        a = xp.zeros((2, 3, 4), dtype=dtype)
+        b = a.reshape(4, 3, 2, order=order, copy=copy)
+        a[1] = 1
+        return b
+
+    @testing.with_requires("numpy>=2.1")
+    def test_copy_arg_str_reshape_raises(self):
+        for xp in (numpy, cupy):
+            with pytest.raises(
+                ValueError,
+                match="strings are not allowed for|Keyword 'copy' not recognized",
+            ):
+                a = xp.zeros((2, 3, 4), dtype=numpy.int32)
+                a.reshape(4, 3, 2, copy="False")
+
+    @testing.with_requires("numpy>=2.1")
+    def test_copy_arg_false_reshape_raises(self):
+        for xp in (numpy, cupy):
+            a = xp.zeros((2, 3, 4))
+            with pytest.raises(
+                ValueError,
+                match="Unable to avoid creating a copy|requires a copy",
+            ):
+                a.transpose(2, 0, 1).reshape(4, 3, 2, order="F", copy=False)
+
     @testing.for_orders("CFA")
     @testing.numpy_cupy_array_equal()
     def test_transposed_reshape2(self, xp, order):
@@ -77,7 +117,7 @@ def test_reshape_with_multiple_unknown_dimensions(self):
     def test_reshape_with_changed_arraysize(self):
         for xp in (numpy, cupy):
             a = testing.shaped_arange((2, 3, 4), xp)
-            with pytest.raises(ValueError):
+            with pytest.raises(ValueError, match="not reshape"):
                 a.reshape(2, 4, 4)
 
     def test_reshape_invalid_order(self):
@@ -89,13 +129,13 @@ def test_reshape_invalid_order(self):
     def test_reshape_zerosize_invalid(self):
         for xp in (numpy, cupy):
             a = xp.zeros((0,))
-            with pytest.raises(ValueError):
+            with pytest.raises(ValueError, match="not reshape"):
                 a.reshape(())
 
     def test_reshape_zerosize_invalid_unknown(self):
         for xp in (numpy, cupy):
             a = xp.zeros((0,))
-            with pytest.raises(ValueError):
+            with pytest.raises(ValueError, match="not reshape array of size"):
                 a.reshape((-1, 0))
 
     @testing.numpy_cupy_array_equal(type_check=has_support_aspect64())
@@ -119,11 +159,13 @@ def test_reshape_zerosize2(self, xp, order):
             assert b.base is a
         return b
 
+    @testing.with_requires("numpy>=2.1")
     @testing.for_orders("CFA")
+    @for_all_copy_args
     @testing.numpy_cupy_array_equal()
-    def test_external_reshape(self, xp, order):
+    def test_external_reshape(self, xp, order, copy):
         a = xp.zeros((8,), dtype=xp.float32)
-        return xp.reshape(a, (1, 1, 1, 4, 1, 2), order=order)
+        return xp.reshape(a, (1, 1, 1, 4, 1, 2), order=order, copy=copy)
 
     def _test_ndim_limit(self, xp, ndim, dtype, order):
         idx = [1] * ndim
@@ -146,7 +188,10 @@ def test_ndim_limit1(self, xp, dtype, order):
     @testing.for_all_dtypes()
     def test_ndim_limit2(self, dtype, order):
         for xp in (numpy, cupy):
-            with pytest.raises(ValueError):
+            with pytest.raises(
+                ValueError,
+                match="maximum supported dimension for an ndarray is",
+            ):
                 self._test_ndim_limit(xp, 65, dtype, order)