Add unit test cases for dpnp slicing and stride calc

Author: Diptorup Deb

numba_dpex/tests/core/types/DpctlSyclQueue/test_box_unbox.py

@@ -7,7 +7,6 @@
 """
 
 import dpctl
-import pytest
 
 from numba_dpex import dpjit
 

numba_dpex/tests/core/types/DpnpNdArray/test_boxing.py

@@ -0,0 +1,47 @@
+# SPDX-FileCopyrightText: 2020 - 2023 Intel Corporation
+#
+# SPDX-License-Identifier: Apache-2.0
+
+"""
+Tests for boxing for dpnp.ndarray
+"""
+
+import dpnp
+
+from numba_dpex import dpjit
+
+
+def test_boxing_unboxing():
+    """Tests basic boxing and unboxing of a dpnp.ndarray object.
+
+    Checks if we can pass in and return a dpctl.ndarray object to and
+    from a dpjit decorated function.
+    """
+
+    @dpjit
+    def func(a):
+        return a
+
+    a = dpnp.empty(10)
+    try:
+        b = func(a)
+    except:
+        assert False, "Failure during unbox/box of dpnp.ndarray"
+
+    assert a.shape == b.shape
+    assert a.device == b.device
+    assert a.strides == b.strides
+    assert a.dtype == b.dtype
+
+
+def test_stride_calc_at_unboxing():
+    """Tests if strides were correctly computed during unboxing."""
+
+    def _tester(a):
+        return a.strides
+
+    b = dpnp.empty((4, 16, 4))
+    strides = dpjit(_tester)(b)
+
+    # Numba computes strides as bytes
+    assert list(strides) == [512, 32, 8]

numba_dpex/tests/core/types/DpnpNdArray/test_boxing_unboxing.py

@@ -0,0 +1,62 @@
+# SPDX-FileCopyrightText: 2020 - 2023 Intel Corporation
+#
+# SPDX-License-Identifier: Apache-2.0
+
+"""
+Tests for boxing for dpnp.ndarray
+"""
+
+import dpnp
+import numpy
+
+from numba_dpex import dpjit
+
+
+def test_1d_slicing():
+    """Tests if dpjit properly computes strides and returns them to Python."""
+
+    def _tester(a):
+        return a[1:5]
+
+    a = dpnp.arange(10)
+    b = dpnp.asnumpy(dpjit(_tester)(a))
+
+    na = numpy.arange(10)
+    nb = _tester(na)
+
+    assert (b == nb).all()
+
+
+def test_1d_slicing2():
+    """Tests if dpjit properly computes strides and returns them to Python."""
+
+    def _tester(a):
+        b = a[1:4]
+        a[6:9] = b
+
+    a = dpnp.arange(10)
+    b = dpnp.asnumpy(dpjit(_tester)(a))
+
+    na = numpy.arange(10)
+    nb = _tester(na)
+
+    assert (b == nb).all()
+
+
+def test_multidim_slicing():
+    """Tests if dpjit properly slices strides and returns them to Python."""
+
+    def _tester(a, b):
+        b[:, :, 0] = a
+
+    a = dpnp.arange(64)
+    a = a.reshape(4, 16)
+    b = dpnp.empty((4, 16, 4))
+    dpjit(_tester)(a, b)
+
+    na = numpy.arange(64)
+    na = na.reshape(4, 16)
+    nb = numpy.empty((4, 16, 4))
+    _tester(na, nb)
+
+    assert numpy.allclose(nb, dpnp.asnumpy(b))