TST: add device tests

src/array_api_extra/_funcs.py

@@ -193,7 +193,7 @@ def create_diagonal(x: Array, /, *, offset: int = 0, xp: ModuleType) -> Array:
         err_msg = "`x` must be 1-dimensional."
         raise ValueError(err_msg)
     n = x.shape[0] + abs(offset)
-    diag = xp.zeros(n**2, dtype=x.dtype)
+    diag = xp.zeros(n**2, dtype=x.dtype, device=x.device)
     i = offset if offset >= 0 else abs(offset) * n
     diag[i : min(n * (n - offset), diag.shape[0]) : n + 1] = x
     return xp.reshape(diag, (n, n))
@@ -516,6 +516,6 @@ def sinc(x: Array, /, *, xp: ModuleType) -> Array:
         raise ValueError(err_msg)
     # no scalars in `where` - array-api#807
     y = xp.pi * xp.where(
-        x, x, xp.asarray(xp.finfo(x.dtype).smallest_normal, dtype=x.dtype)
+        x, x, xp.asarray(xp.finfo(x.dtype).eps, dtype=x.dtype, device=x.device)
     )
     return xp.sin(y) / y

tests/test_funcs.py

@@ -85,6 +85,11 @@ def test_5D(self):
         y = atleast_nd(x, ndim=9, xp=xp)
         assert_array_equal(y, xp.ones((1, 1, 1, 1, 1, 1, 1, 1, 1)))
 
+    def test_device(self):
+        device = xp.Device("device1")
+        x = xp.asarray([1, 2, 3], device=device)
+        assert atleast_nd(x, ndim=2, xp=xp).device == device
+
 
 class TestCov:
     def test_basic(self):
@@ -120,6 +125,11 @@ def test_combination(self):
         assert_allclose(cov(x, xp=xp), xp.asarray(11.71))
         assert_allclose(cov(y, xp=xp), xp.asarray(2.144133), rtol=1e-6)
 
+    def test_device(self):
+        device = xp.Device("device1")
+        x = xp.asarray([1, 2, 3], device=device)
+        assert cov(x, xp=xp).device == device
+
 
 class TestCreateDiagonal:
     def test_1d(self):
@@ -156,6 +166,11 @@ def test_2d(self):
         with pytest.raises(ValueError, match="1-dimensional"):
             create_diagonal(xp.asarray([[1]]), xp=xp)
 
+    def test_device(self):
+        device = xp.Device("device1")
+        x = xp.asarray([1, 2, 3], device=device)
+        assert create_diagonal(x, xp=xp).device == device
+
 
 class TestExpandDims:
     def test_functionality(self):
@@ -205,6 +220,11 @@ def test_positive_negative_repeated(self):
         with pytest.raises(ValueError, match="Duplicate dimensions"):
             expand_dims(a, axis=(3, -3), xp=xp)
 
+    def test_device(self):
+        device = xp.Device("device1")
+        x = xp.asarray([1, 2, 3], device=device)
+        assert expand_dims(x, axis=0, xp=xp).device == device
+
 
 class TestKron:
     def test_basic(self):
@@ -270,6 +290,12 @@ def test_kron_shape(self, shape_a: tuple[int, ...], shape_b: tuple[int, ...]):
         k = kron(a, b, xp=xp)
         assert_equal(k.shape, expected_shape, err_msg="Unexpected shape from kron")
 
+    def test_device(self):
+        device = xp.Device("device1")
+        x1 = xp.asarray([1, 2, 3], device=device)
+        x2 = xp.asarray([4, 5], device=device)
+        assert kron(x1, x2, xp=xp).device == device
+
 
 class TestSetDiff1D:
     def test_setdiff1d(self):
@@ -298,6 +324,12 @@ def test_assume_unique(self):
         actual = setdiff1d(x1, x2, assume_unique=True, xp=xp)
         assert_array_equal(actual, expected)
 
+    def test_device(self):
+        device = xp.Device("device1")
+        x1 = xp.asarray([3, 8, 20], device=device)
+        x2 = xp.asarray([2, 3, 4], device=device)
+        assert setdiff1d(x1, x2, xp=xp).device == device
+
 
 class TestSinc:
     def test_simple(self):
@@ -316,3 +348,8 @@ def test_3d(self):
         expected = xp.zeros((3, 3, 2))
         expected[0, 0, 0] = 1.0
         assert_allclose(sinc(x, xp=xp), expected, atol=1e-15)
+
+    def test_device(self):
+        device = xp.Device("device1")
+        x = xp.asarray(0.0, device=device)
+        assert sinc(x, xp=xp).device == device

tests/test_utils.py

@@ -22,3 +22,9 @@ def test_no_invert_assume_unique(self, x2: Array):
         expected = xp.asarray([True, True, False])
         actual = in1d(x1, x2, xp=xp)
         assert_array_equal(actual, expected)
+
+    def test_device(self):
+        device = xp.Device("device1")
+        x1 = xp.asarray([3, 8, 20], device=device)
+        x2 = xp.asarray([2, 3, 4], device=device)
+        assert in1d(x1, x2, xp=xp).device == device